PyMca5-5.2.2/0000755000276300001750000000000013205526235012726 5ustar solebliss00000000000000PyMca5-5.2.2/README0000644000276300001750000000346613136054446013622 0ustar solebliss00000000000000This is the MIT version of the PyMca XRF Toolkit. Please read the LICENSE file for details. INSTALLATION Ready-to-use packages are available for the most common platforms. PyMca frozen binaries for MacOS and windows can be obtained from sourceforge: https://sourceforge.net/projects/pymca/files/pymca/ Unofficial debian packages are also available, but you should check if official pacakges are available for your distribution. Please keep going if you want to use PyMca with your existing Python installation. The simplest solution is to use pip: pip install PyMca5 You can add the usual --user qualifier to install only for you: pip install PyMca5 --user If you want to build from source distribution or from a github checkout, you may want to have cython installed on your system. Examples of installation from the sources. 1 - In your default python installation: python setup.py install or (better) pip install . 2 - In your user account: python setup.py install --user or pip install You will need: - Python (one of 2.7, 3.5 or higher recommended) - Numpy - fisx If you want to use the graphical interfaces provided, you will need a running python installation with one of: - PyQt4 + matplotlib (PyMca license will be GPL unless you have a commercial PyQt4 license) - PyQt5 + matplotlib (PyMca license will be GPL unless you have a commercial PyQt5 license) - PySide + matplotlib (PyMca license will be MIT because PySide is LGPL) If you want to embed PyMca in your own graphical applications, I recommend you to use the McaAdvancedFit.py module. It is very easy to embed. DEVELOPMENT PLANS - Use the fisx library for all Physics calculations and not just for corrections. - Compound fitting. If you have any questions or comments (or contributions!), please feel free to contact me. Enjoy, V. Armando Sole PyMca5-5.2.2/version.py0000644000276300001750000001163213203352103014755 0ustar solebliss00000000000000#!/usr/bin/env python # coding: utf-8 # /*########################################################################## # # Copyright (c) 2015-2017 European Synchrotron Radiation Facility # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ """Unique place where the version number is defined. provides: * version = "1.2.3" or "1.2.3-beta4" * version_info = named tuple (1,2,3,"beta",4) * hexversion: 0x010203B4 * strictversion = "1.2.3b4 * debianversion = "1.2.3~beta4" * calc_hexversion: the function to transform a version_tuple into an integer This is called hexversion since it only really looks meaningful when viewed as the result of passing it to the built-in hex() function. The version_info value may be used for a more human-friendly encoding of the same information. The hexversion is a 32-bit number with the following layout: Bits (big endian order) Meaning 1-8 PY_MAJOR_VERSION (the 2 in 2.1.0a3) 9-16 PY_MINOR_VERSION (the 1 in 2.1.0a3) 17-24 PY_MICRO_VERSION (the 0 in 2.1.0a3) 25-28 PY_RELEASE_LEVEL (0xA for alpha, 0xB for beta, 0xC for release candidate and 0xF for final) 29-32 PY_RELEASE_SERIAL (the 3 in 2.1.0a3, zero for final releases) Thus 2.1.0a3 is hexversion 0x020100a3. """ from __future__ import absolute_import, print_function, division import os __authors__ = ["Jérôme Kieffer"] __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __date__ = "16/11/2017" __status__ = "production" __docformat__ = 'restructuredtext' __all__ = ["date", "version_info", "strictversion", "hexversion", "debianversion", "calc_hexversion"] RELEASE_LEVEL_VALUE = {"dev": 0, "alpha": 10, "beta": 11, "gamma": 12, "rc": 13, "final": 15} def get_major_minor_micro(): __version__ = None ffile = open(os.path.join('PyMca5', '__init__.py'), 'r').readlines() for line in ffile: if line.startswith('__version__'): #remove spaces and split __version__ = "%s" % line.replace(' ','').split("=")[-1][:-1] #remove " or ' present __version__ = __version__[1:-1] break if __version__ == None: raise ValueError("Cannot figure out version") return [int(x) for x in __version__.split(".")] MAJOR, MINOR, MICRO = get_major_minor_micro() RELEV = "final" # <16 SERIAL = 0 # <16 date = __date__ from collections import namedtuple _version_info = namedtuple("version_info", ["major", "minor", "micro", "releaselevel", "serial"]) version_info = _version_info(MAJOR, MINOR, MICRO, RELEV, SERIAL) strictversion = version = debianversion = "%d.%d.%d" % version_info[:3] if version_info.releaselevel != "final": version += "-%s%s" % version_info[-2:] debianversion += "~adev%i" % version_info[-1] if RELEV == "dev" else "~%s%i" % version_info[-2:] prerel = "a" if RELEASE_LEVEL_VALUE.get(version_info[3], 0) < 10 else "b" if prerel not in "ab": prerel = "a" strictversion += prerel + str(version_info[-1]) def calc_hexversion(major=0, minor=0, micro=0, releaselevel="dev", serial=0): """Calculate the hexadecimal version number from the tuple version_info: :param major: integer :param minor: integer :param micro: integer :param relev: integer or string :param serial: integer :return: integer always increasing with revision numbers """ try: releaselevel = int(releaselevel) except ValueError: releaselevel = RELEASE_LEVEL_VALUE.get(releaselevel, 0) hex_version = int(serial) hex_version |= releaselevel * 1 << 4 hex_version |= int(micro) * 1 << 8 hex_version |= int(minor) * 1 << 16 hex_version |= int(major) * 1 << 24 return hex_version hexversion = calc_hexversion(*version_info) if __name__ == "__main__": print(version) PyMca5-5.2.2/LICENSE.MIT0000644000276300001750000000233113136054446014365 0ustar solebliss00000000000000 The PyMca X-Ray Fluorescence Toolkit is Copyright (C) 2004-2014 of the European Synchrotron Radiation Facility (ESRF). The MIT License (MIT) Copyright (c) 2004-2014 European Synchrotron Radiation Facility (ESRF) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. PyMca5-5.2.2/setup.py0000644000276300001750000013525313203352103014436 0ustar solebliss00000000000000# # This Python module has been developed by V.A. Sole, from the European # Synchrotron Radiation Facility (ESRF) to build PyMca. # Given the nature of this work, these module can be considered public domain. # Therefore redistribution and use in source and binary forms, with or without # modification, are permitted provided the following disclaimer is accepted: # # # THIS SOFTWARE IS PROVIDED BY THE AUTHOR(S) AND THE ESRF ``AS IS'' AND ANY # EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED # WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE AUTHOR(S) AND/OR THE ESRF BE LIABLE FOR ANY # DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES # (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND # ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # import sys,os import glob import platform import time USING_SETUPTOOLS = True PYMCA_DISTUTILS=os.getenv("PYMCA_DISTUTILS") if PYMCA_DISTUTILS in [1, "1", "True"]: PYMCA_DISTUTILS = True if 'bdist_wheel' in sys.argv: if PYMCA_DISTUTILS: raise ValueError("Wheels have to be generated with setuptools") # wheels require setuptools from setuptools import setup from setuptools.command.install import install as dftinstall from setuptools import Command from setuptools.extension import Extension from setuptools.command.build_py import build_py as _build_py from distutils.command.install_data import install_data from setuptools.command.install_scripts import install_scripts from setuptools.command.sdist import sdist elif ('--distutils' in sys.argv) or PYMCA_DISTUTILS: # The cx_setup.py machinery works with distutils try: sys.argv.remove("--distutils") except: pass from distutils.core import setup from distutils.command.install import install as dftinstall from distutils.core import Command from distutils.core import Extension from distutils.command.build_py import build_py as _build_py from distutils.command.install_data import install_data from distutils.command.install_scripts import install_scripts from distutils.command.sdist import sdist USING_SETUPTOOLS = False else: try: from setuptools import setup from setuptools.command.install import install as dftinstall from setuptools import Command from setuptools.extension import Extension from setuptools.command.build_py import build_py as _build_py from distutils.command.install_data import install_data from setuptools.command.install_scripts import install_scripts from setuptools.command.sdist import sdist except ImportError: from distutils.core import setup from distutils.command.install import install as dftinstall from distutils.core import Command from distutils.core import Extension from distutils.command.build_py import build_py as _build_py from distutils.command.install_data import install_data from distutils.command.install_scripts import install_scripts from distutils.command.sdist import sdist USING_SETUPTOOLS = False try: import numpy except ImportError: text = "You must have numpy installed.\n" text += "See http://sourceforge.net/project/showfiles.php?group_id=1369&package_id=175103\n" raise ImportError(text) import distutils.sysconfig try: from Cython.Distutils import build_ext import Cython.Compiler.Version if Cython.Compiler.Version.version < '0.18': build_ext = None except: build_ext = None global PYMCA_INSTALL_DIR global PYMCA_SCRIPTS_DIR global USE_SMART_INSTALL_SCRIPTS PROJECT = "PyMca5" def get_version(): """Returns current version number from version.py file""" import version return version.strictversion __version__ = get_version() #package maintainers customization # Dear (Debian, RedHat, ...) package makers, please feel free to customize the # following paths to the directory containing module's data relative to the # directory containing the python modules (aka. installation directory). # The sift module implements a patented algorithm. The algorithm can be used # for non-commercial research purposes. If you do not want to distribute it # with the PyMca sources you just need to delete the PyMca5/PyMcaMath/sift directory. PYMCA_DATA_DIR = os.getenv("PYMCA_DATA_DIR") PYMCA_DOC_DIR = os.getenv("PYMCA_DOC_DIR") if PYMCA_DATA_DIR is None: PYMCA_DATA_DIR = os.path.join('PyMca5','PyMcaData') if PYMCA_DOC_DIR is None: PYMCA_DOC_DIR = os.path.join('PyMca5','PyMcaData') USE_SMART_INSTALL_SCRIPTS = False if "--install-scripts" in sys.argv: USE_SMART_INSTALL_SCRIPTS = True SPECFILE_USE_GNU_SOURCE = os.getenv("SPECFILE_USE_GNU_SOURCE") if SPECFILE_USE_GNU_SOURCE is None: SPECFILE_USE_GNU_SOURCE = 0 if sys.platform.lower().startswith("linux"): print("WARNING:") print("A cleaner locale independent implementation") print("may be achieved setting SPECFILE_USE_GNU_SOURCE to 1") print("For instance running this script as:") print("SPECFILE_USE_GNU_SOURCE=1 python setup.py build") else: SPECFILE_USE_GNU_SOURCE = int(SPECFILE_USE_GNU_SOURCE) # check if cython is not to be used despite being present def use_cython(): """ Check if cython is disabled from the command line or the environment. """ if "WITH_CYTHON" in os.environ: if os.environ["WITH_CYTHON"] in ["False", "0", 0]: print("No Cython requested by environment") return False if ("--no-cython" in sys.argv): sys.argv.remove("--no-cython") os.environ["WITH_CYTHON"] = "False" print("No Cython requested by command line") return False return True if build_ext is not None: # we can use cython, but it may have been explicitely disabled if not use_cython(): build_ext = None # check if fisx library is to be build def use_fisx(): """ Check if fisx is requested from the command line or the environment. """ if "WITH_FISX" in os.environ: if os.environ["WITH_FISX"] in ["True", "1", 1]: print("Use of fisx library requested by environment") return True if ("--fisx" in sys.argv): sys.argv.remove("--fisx") os.environ["WITH_FISX"] = "True" print("Use fisx library requested by command line") return True return False if use_fisx(): # fisx is expected to be an independent library and # ideally one would use git subtree to put it in third-party # but one needs git > 1.9.x fisx_src = os.path.join(os.path.dirname(os.path.abspath(__file__)), "third-party", "fisx") if not os.path.exists(fisx_src): print("fisx library not found but installation requested") raise IOError("Installation of fisx requested but library not found") else: fisx_src = None # Make sure we work with a clean MANIFEST file # DEBIAN_SRC = False # if "sdist" in sys.argv: # manifestFile = os.path.join(os.path.dirname(os.path.abspath(__file__)), # "MANIFEST") # if os.path.exists(manifestFile): # os.remove(manifestFile) # # if "DEBIAN_SRC" in os.environ: # if os.environ["DEBIAN_SRC"] in ["True", "1", 1]: # print("Generating Debian specific source distribution without cython generated files") # print("If you cython version is incompatible, it will be your problem") # DEBIAN_SRC = True print("PyMca X-Ray Fluorescence Toolkit %s\n" % __version__) # The following is not supported by python-2.3: package_data = {} #'PyMca5': ['PyMcaData/attdata/*', # 'PyMcaData/HTML/*.*', # 'PyMcaData/HTML/IMAGES/*', # 'PyMcaData/HTML/PyMCA_files/*']} packages = ['PyMca5', 'PyMca5.PyMcaPlugins', 'PyMca5.tests', 'PyMca5.PyMca', 'PyMca5.PyMcaCore', 'PyMca5.PyMcaPhysics', 'PyMca5.PyMcaPhysics.xrf', 'PyMca5.PyMcaPhysics.xrf.XRFMC', 'PyMca5.PyMcaPhysics.xas', 'PyMca5.PyMcaIO', 'PyMca5.PyMcaMisc', 'PyMca5.PyMcaMath', 'PyMca5.PyMcaMath.fitting', 'PyMca5.PyMcaMath.mva', 'PyMca5.PyMcaMath.mva.py_nnma', 'PyMca5.PyMcaGraph', 'PyMca5.PyMcaGraph.backends', 'PyMca5.PyMcaGui', 'PyMca5.PyMcaGui.plotting', 'PyMca5.PyMcaGui.physics', 'PyMca5.PyMcaGui.physics.xas', 'PyMca5.PyMcaGui.physics.xrf', 'PyMca5.PyMcaGui.pymca', 'PyMca5.PyMcaGui.misc', 'PyMca5.PyMcaGui.io', 'PyMca5.PyMcaGui.io.hdf5', 'PyMca5.PyMcaGui.math', 'PyMca5.PyMcaGui.math.fitting',] py_modules = [] # Specify all the required PyMca data data_files = [(PYMCA_DATA_DIR, ['LICENSE', 'LICENSE.GPL', 'LICENSE.LGPL', 'LICENSE.MIT', 'PyMca5/PyMcaData/Scofield1973.dict', 'changelog.txt', 'PyMca5/PyMcaData/McaTheory.cfg', 'PyMca5/PyMcaData/PyMcaSplashImage.png', 'PyMca5/PyMcaData/KShellRatesScofieldHS.dat', 'PyMca5/PyMcaData/LShellRatesCampbell.dat', 'PyMca5/PyMcaData/LShellRatesScofieldHS.dat', 'PyMca5/PyMcaData/EXAFS_Cu.dat', 'PyMca5/PyMcaData/EXAFS_Ge.dat', 'PyMca5/PyMcaData/XRFSpectrum.mca']), (PYMCA_DATA_DIR + '/attdata', glob.glob('PyMca5/PyMcaData/attdata/*')), (PYMCA_DOC_DIR+'/HTML', glob.glob('PyMca5/PyMcaData/HTML/*.*')), (PYMCA_DOC_DIR+'/HTML/IMAGES', glob.glob('PyMca5/PyMcaData/HTML/IMAGES/*')), (PYMCA_DOC_DIR+'/HTML/PyMCA_files', glob.glob('PyMca5/HTML/PyMCA_files/*'))] if os.path.exists(os.path.join("PyMca5", "EPDL97")): packages.append('PyMca5.EPDL97') data_files.append((PYMCA_DATA_DIR+'/EPDL97', glob.glob('PyMca5/EPDL97/*.DAT'))) data_files.append((PYMCA_DATA_DIR+'/EPDL97', ['PyMca5/EPDL97/LICENSE'])) global SIFT_OPENCL_FILES SIFT_OPENCL_FILES = [] if os.path.exists(os.path.join("PyMca5", "PyMcaMath", "sift")): packages.append('PyMca5.PyMcaMath.sift') package_data['PyMca5'] = ['PyMcaMath/sift/*.cl'] # SIFT_OPENCL_FILES = glob.glob('PyMca5/PyMcaMath/sift/*.cl') # data_files.append((os.path.join('PyMca5', 'PyMcaMath', 'sift'), # SIFT_OPENCL_FILES)) LOCAL_OBJECT3D =False if os.path.exists(os.path.join("PyMca5", "Object3D")): LOCAL_OBJECT3D = True if os.path.exists(os.path.join("PyMca5", "PyMcaGraph", "backends", "GLSupport")): packages.append('PyMca5.PyMcaGraph.backends.GLSupport') if os.path.exists(os.path.join("PyMca5", "PyMcaGraph", "backends", "GLSupport", "gl")): packages.append('PyMca5.PyMcaGraph.backends.GLSupport.gl') sources = glob.glob('*.c') if sys.platform == "win32": define_macros = [('WIN32',None)] script_files = glob.glob('PyMca5/scripts/*') script_files += glob.glob('scripts/*.bat') script_files.append('scripts/pymca_win_post_install.py') else: define_macros = [] script_files = glob.glob('PyMca5/scripts/*') def build_FastEdf(ext_modules): module = Extension(name = 'PyMca5.FastEdf', sources = glob.glob('PyMca5/PyMcaIO/edf/*.c'), define_macros = define_macros, include_dirs = [numpy.get_include()]) ext_modules.append(module) def build_specfile(ext_modules): if os.name.lower().startswith('posix'): specfile_define_macros = [('PYMCA_POSIX', None)] #the best choice is to use _GNU_SOURCE if possible #because that enables the use of strtod_l if SPECFILE_USE_GNU_SOURCE: specfile_define_macros = [('_GNU_SOURCE', 1)] else: specfile_define_macros = define_macros srcfiles = [ 'sfheader','sfinit','sflists','sfdata','sfindex', 'sflabel' ,'sfmca', 'sftools','locale_management','specfile_py'] if sys.version >= '3.0': srcfiles[-1] += '3' sources = [] specfile_source_dir = os.path.join('PyMca5', 'PyMcaIO', 'specfile', 'src') specfile_include_dir = os.path.join('PyMca5', 'PyMcaIO', 'specfile', 'include') for ffile in srcfiles: sources.append(os.path.join(specfile_source_dir, ffile+'.c')) module = Extension(name = 'PyMca5.PyMcaIO.specfile', sources = sources, define_macros = specfile_define_macros, include_dirs = [specfile_include_dir, numpy.get_include()]) ext_modules.append(module) def build_specfit(ext_modules): module = Extension(name = 'PyMca5.PyMcaMath.fitting.SpecfitFuns', sources = glob.glob('PyMca5/PyMcaMath/fitting/specfit/*.c'), define_macros = define_macros, include_dirs = ['PyMca5/PyMcaMath/fitting/specfit', numpy.get_include()]) ext_modules.append(module) def build_sps(ext_modules): if platform.system() == 'Linux' : extra_compile_args = ['-pthread'] #extra_compile_args = [] elif platform.system() == 'SunOS' : #extra_compile_args = ['-pthreads'] extra_compile_args = [] else: extra_compile_args = [] module = Extension(name = 'PyMca5.spslut', sources = ['PyMca5/PyMcaIO/sps/Src/sps_lut.c', 'PyMca5/PyMcaIO/sps/Src/spslut_py.c'], define_macros = define_macros, extra_compile_args = extra_compile_args, include_dirs = ['PyMca5/PyMcaIO/sps/Include', numpy.get_include()]) ext_modules.append(module) if sys.platform != "win32": module = (Extension(name = 'PyMca5.PyMcaIO.sps', sources = ['PyMca5/PyMcaIO/sps/Src/sps.c', 'PyMca5/PyMcaIO/sps/Src/sps_py.c'], define_macros = define_macros, extra_compile_args = extra_compile_args, include_dirs = ['PyMca5/PyMcaIO/sps/Include', numpy.get_include()])) ext_modules.append(module) def build_PyMcaIOHelper(ext_modules): module = Extension(name = 'PyMca5.PyMcaIO.PyMcaIOHelper', sources = glob.glob('PyMca5/PyMcaIO/PyMcaIOHelper/*.c'), define_macros = define_macros, include_dirs = ['PyMca5/PyMcaIO/PyMcaIOHelper', numpy.get_include()]) ext_modules.append(module) def build_Object3DCTools(ext_modules): includes = [numpy.get_include()] if sys.platform == "win32": libraries = ['opengl32', 'glu32'] # include headers missing in microsoft implementation of OpenGL includes.append('third-party/khronos_headers') elif sys.platform == "darwin": libraries = [] else: libraries = ['GL', 'GLU'] if sys.platform == 'windows': WindowsSDK = os.getenv('WindowsSdkDir') #if WindowsSDK is not None: # includes.append(WindowsSDK) module = Extension(name = 'PyMca5.Object3D.Object3DCTools', sources = glob.glob('PyMca5/Object3D/Object3DCTools/*.c'), define_macros = define_macros, libraries = libraries, include_dirs = includes) ext_modules.append(module) def build_Object3DQhull(extensions): libraries = [] sources = ["PyMca5/Object3D/Object3DQhull/Object3DQhull.c"] include_dirs = [numpy.get_include()] # check if the user provide some information about a system qhull # library QHULL_CFLAGS = os.getenv("QHULL_CFLAGS") QHULL_LIBS = os.getenv("QHULL_LIBS") extra_compile_args = [] extra_link_args = [] if QHULL_CFLAGS and QHULL_LIBS: extra_compile_args += [QHULL_CFLAGS] extra_link_args += [QHULL_LIBS] else: sources += glob.glob("third-party/qhull/src/*.c") include_dirs += ["third-party/qhull/src"] module = Extension(name='PyMca5.Object3D.Object3DQhull', sources=sources, define_macros=define_macros, libraries=libraries, include_dirs=include_dirs, extra_compile_args=extra_compile_args, extra_link_args=extra_link_args) extensions.append(module) def build_PyMcaSciPy(ext_modules): packages.append('PyMca5.PyMcaMath.PyMcaSciPy') packages.append('PyMca5.PyMcaMath.PyMcaSciPy.signal') module = Extension(name = 'PyMca5.PyMcaMath.PyMcaSciPy.signal.mediantools', sources = glob.glob('PyMca5/PyMcaMath/PyMcaSciPy/signal/*.c'), define_macros = [], include_dirs = [numpy.get_include()]) ext_modules.append(module) def build_plotting_ctools(ext_modules): packages.append('PyMca5.PyMcaGraph.ctools') basedir = os.path.join('PyMca5', 'PyMcaGraph','ctools', '_ctools') c_files = [os.path.join(basedir, 'src', 'InsidePolygonWithBounds.c'), os.path.join(basedir, 'src', 'MinMaxImpl.c'), os.path.join(basedir, 'src', 'Colormap.c')] if build_ext: src = [os.path.join(basedir, 'cython','_ctools.pyx')] else: src = [] for fname in glob.glob(os.path.join(basedir, 'cython','*.c')): src.append(os.path.join(basedir, 'cython', os.path.basename(fname))) src += c_files if sys.platform == 'win32': extra_compile_args = [] extra_link_args = [] else: extra_compile_args = [] extra_link_args = [] module = Extension(name="PyMca5.PyMcaGraph.ctools._ctools", sources=src, include_dirs=[numpy.get_include(), os.path.join(basedir, "include")], extra_compile_args=extra_compile_args, extra_link_args=extra_link_args, language="c", ) """ setup( name='ctools', ext_modules=[Extension(name="_ctools", sources=src, include_dirs=[numpy.get_include(), os.path.join(os.getcwd(),"include")], extra_compile_args=extra_compile_args, extra_link_args=extra_link_args, language="c", )] , cmdclass={'build_ext': build_ext}, ) """ ext_modules.append(module) def build_xas_xas(ext_modules): basedir = os.path.join('PyMca5', 'PyMcaPhysics','xas', '_xas') c_files = [os.path.join(basedir, 'src', 'polspl.c'), os.path.join(basedir, 'src', 'bessel0.c')] if build_ext: src = [os.path.join(basedir, 'cython','_xas.pyx')] else: src = [] for fname in glob.glob(os.path.join(basedir, 'cython','*.c')): src.append(os.path.join(basedir, 'cython', os.path.basename(fname))) src += c_files if sys.platform == 'win32': extra_compile_args = [] extra_link_args = [] else: extra_compile_args = [] extra_link_args = [] module = Extension(name="PyMca5.PyMcaPhysics.xas._xas", sources=src, include_dirs=[numpy.get_include(), os.path.join(basedir, "include")], extra_compile_args=extra_compile_args, extra_link_args=extra_link_args, language="c", ) ext_modules.append(module) ext_modules = [] if sys.version < '3.0': build_FastEdf(ext_modules) build_specfile(ext_modules) build_specfit(ext_modules) build_sps(ext_modules) build_PyMcaIOHelper(ext_modules) if LOCAL_OBJECT3D: try: build_Object3DCTools(ext_modules) build_Object3DQhull(ext_modules) for python_file in glob.glob('PyMca5/Object3D/*.py'): if python_file in ['setup.py', 'cx_setup.py']: continue m = "PyMca5.Object3D.%s" % os.path.basename(python_file)[:-3] py_modules.append(m) for python_file in glob.glob('PyMca5/Object3D/Object3DPlugins/*.py'): m = "PyMca5.Object3D.Object3DPlugins.%s" %\ os.path.basename(python_file)[:-3] py_modules.append(m) except: print("Object3D Module could not be built") print(sys.exc_info()) build_PyMcaSciPy(ext_modules) build_plotting_ctools(ext_modules) build_xas_xas(ext_modules) class smart_build_py(_build_py): def run (self): toReturn = _build_py.run(self) global PYMCA_DATA_DIR global PYMCA_DOC_DIR global PYMCA_INSTALL_DIR defaultPath = os.path.join('PyMca5','PyMcaData') if (PYMCA_DATA_DIR == defaultPath) or\ (PYMCA_DOC_DIR == defaultPath): #default, just make sure the complete path is there install_cmd = self.get_finalized_command('install') PYMCA_INSTALL_DIR = getattr(install_cmd, 'install_lib') #packager should have given the complete path #in other cases if PYMCA_DATA_DIR == defaultPath: PYMCA_DATA_DIR = os.path.join(PYMCA_INSTALL_DIR, PYMCA_DATA_DIR) if PYMCA_DOC_DIR == defaultPath: #default, just make sure the complete path is there PYMCA_DOC_DIR = os.path.join(PYMCA_INSTALL_DIR, PYMCA_DOC_DIR) target = os.path.join(self.build_lib, "PyMca5", "PyMcaDataDir.py") fid = open(target,'r') content = fid.readlines() fid.close() fid = open(target,'w') for line in content: lineToBeWritten = line txt = 'DATA_DIR_FROM_SETUP' if txt in line: lineToBeWritten = line.replace(txt, PYMCA_DATA_DIR) txt = 'DOC_DIR_FROM_SETUP' if txt in line: lineToBeWritten = line.replace(txt, PYMCA_DOC_DIR) fid.write(lineToBeWritten) fid.close() return toReturn # data_files fix from http://wiki.python.org/moin/DistutilsInstallDataScattered # class smart_install_data(install_data): # if USING_SETUPTOOLS: # def initialize_options (self): # self.outfiles = [] # self.data_files = data_files # self.install_dir = None # self.root = None # self.force = 0 # # def finalize_options(self): # pass # # def get_outputs(self): # return self.outfiles # # def run(self): # global PYMCA_INSTALL_DIR # global PYMCA_DATA_DIR # global PYMCA_DOC_DIR # #need to change self.install_dir to the library dir # install_cmd = self.get_finalized_command('install') # self.install_dir = getattr(install_cmd, 'install_lib') # PYMCA_INSTALL_DIR = self.install_dir # print("PyMca to be installed in %s" % self.install_dir) # # #cleanup old stuff if present # pymcaOld = os.path.join(PYMCA_INSTALL_DIR, "PyMca5", "Plugins1D") # if os.path.exists(pymcaOld): # for f in glob.glob(os.path.join(pymcaOld,"*.py")): # print("Removing previously installed file %s" % f) # os.remove(f) # for f in glob.glob(os.path.join(pymcaOld,"*.pyc")): # print("Removing previously installed file %s" % f) # os.remove(f) # print("Removing previously installed directory %s" % pymcaOld) # os.rmdir(pymcaOld) # pymcaOld = os.path.join(PYMCA_INSTALL_DIR, "PyMca5", "PyMca.py") # if os.path.exists(pymcaOld): # print("Removing previously installed file %s" % pymcaOld) # os.remove(pymcaOld) # pymcaOld += "c" # if os.path.exists(pymcaOld): # print("Removing previously installed file %s" % pymcaOld) # os.remove(pymcaOld) # return install_data.run(self) # smart_install_scripts if USE_SMART_INSTALL_SCRIPTS: class smart_install_scripts(install_scripts): if USING_SETUPTOOLS: def initialize_options (self): self.outfiles = [] def finalize_options(self): pass def get_outputs(self): return self.outfiles def run (self): global PYMCA_SCRIPTS_DIR #I prefer not to translate the python used during the build #process for the case of having an installation on a disk shared #by different machines and starting python from a shell script #that positions the environment from distutils import log from stat import ST_MODE install_cmd = self.get_finalized_command('install') #This is to ignore the --install-scripts keyword #I do not know if to leave it optional ... if False: self.install_dir = os.path.join(getattr(install_cmd, 'install_lib'), 'PyMca5') self.install_dir = os.path.join(self.install_dir, 'bin') else: self.install_dir = getattr(install_cmd, 'install_scripts') self.install_data = getattr(install_cmd, 'install_data') if "." in self.install_dir: self.install_dir = os.path.abspath(self.install_dir) if "." in self.install_data: self.install_data = os.path.abspath(self.install_data) global PYMCA_INSTALL_DIR if "." in PYMCA_INSTALL_DIR: PYMCA_INSTALL_DIR = os.path.abspath(PYMCA_INSTALL_DIR) PYMCA_SCRIPTS_DIR = self.install_dir PYMCA_DATA_DIR = self.install_data if sys.platform != "win32": print("PyMca scripts to be installed in %s" % self.install_dir) self.outfiles = self.copy_tree(self.build_dir, self.install_dir) self.outfiles = [] for filein in glob.glob('PyMca5/scripts/*'): filedest = os.path.join(self.install_dir, os.path.basename(filein)) if os.path.exists(filedest): os.remove(filedest) moddir = os.path.join(PYMCA_INSTALL_DIR, "PyMca5", "PyMcaGui") if 0: f = open(filein, 'r') modfile = f.readline().replace("\n","") f.close() else: basename = os.path.basename(filein) if basename.startswith('pymcabatch'): modfile = os.path.join("pymca", 'PyMcaBatch.py') elif basename.startswith('pymcapostbatch') or\ basename.startswith('rgbcorrelator'): modfile = os.path.join("pymca", 'PyMcaPostBatch.py') elif basename.startswith('pymcaroitool'): modfile = os.path.join("pymca", 'QStackWidget.py') elif basename.startswith('mca2edf'): modfile = os.path.join("pymca", 'Mca2Edf.py') elif basename.startswith('edfviewer'): modfile = os.path.join("pymca", 'EdfFileSimpleViewer.py') elif basename.startswith('peakidentifier'): modfile = os.path.join("physics", "xrf", 'PeakIdentifier.py') elif basename.startswith('elementsinfo'): modfile = os.path.join("physics", "xrf", 'ElementsInfo.py') elif basename.startswith('pymca'): modfile = os.path.join("pymca", 'PyMcaMain.py') else: print("ignored %s" % filein) continue text = "#!/bin/bash\n" text += "export PYTHONPATH=%s:${PYTHONPATH}\n" % PYMCA_INSTALL_DIR #deal with sys.executables not named python text += "exec %s %s $*\n" % ( sys.executable, os.path.join(moddir, modfile) ) f=open(filedest, 'w') f.write(text) f.close() #self.copy_file(filein, filedest) self.outfiles.append(filedest) if os.name == 'posix': # Set the executable bits (owner, group, and world) on # all the scripts we just installed. for ffile in self.get_outputs(): if self.dry_run: log.info("changing mode of %s", ffile) else: # python 2.5 does not accept next line #mode = ((os.stat(ffile)[ST_MODE]) | 0o555) & 0o7777 mode = ((os.stat(ffile)[ST_MODE]) | 365) & 4095 log.info("changing mode of %s to %o", ffile, mode) os.chmod(ffile, mode) # man pages handling def abspath(*path): """A method to determine absolute path for a given relative path to the directory where this setup.py script is located""" setup_dir = os.path.dirname(os.path.abspath(__file__)) return os.path.join(setup_dir, *path) class install_man(Command): user_options = [ ('install-dir=', 'd', 'base directory for installing man page files')] def initialize_options(self): self.install_dir = None if USING_SETUPTOOLS: self.outfiles = [] def finalize_options(self): self.set_undefined_options('install', ('install_man', 'install_dir')) if USING_SETUPTOOLS: def get_outputs(self): return self.outfiles def run(self): if self.install_dir is None: return src_man_dir = abspath('doc', 'man') man_elems = os.listdir(src_man_dir) man_pages = [] for f in man_elems: f = os.path.join(src_man_dir,f) if not os.path.isfile(f): continue if not f.endswith(".1"): continue man_pages.append(f) install_dir = os.path.join(self.install_dir, 'man1') if not os.path.isdir(install_dir): os.makedirs(install_dir) for man_page in man_pages: self.copy_file(man_page, install_dir) class install(dftinstall): user_options = list(dftinstall.user_options) user_options.extend([ ('install-man=', None, 'installation directory for Unix man pages')]) def initialize_options(self): self.install_man = None dftinstall.initialize_options(self) def finalize_options(self): # We do a hack here. We cannot trust the 'install_base' value because it # is not always the final target. For example, in unix, the install_base # is '/usr' and all other install_* are directly relative to it. However, # in unix-local (like ubuntu) install_base is still '/usr' but, for # example, install_data, is '$install_base/local' which breaks everything. # # The hack consists in using install_data instead of install_base since # install_data seems to be, in practice, the proper install_base on all # different systems. global USE_SMART_INSTALL_SCRIPTS dftinstall.finalize_options(self) if os.name != "posix": if self.install_man is not None: self.warn("install-man option ignored on this platform") self.install_man = None else: if self.install_man is None: if not USE_SMART_INSTALL_SCRIPTS: # if one is installing the scripts somewhere else # he can be smart enough to pass install_man self.install_man = os.path.join(self.install_data,\ 'share', 'man') if self.install_man is not None: if not os.path.exists(self.install_man): try: os.makedirs(self.install_man) except: #we'll get the error in the next check pass #check if we can write if not os.access(self.install_man, os.W_OK): print("********************************") print("") print("No permission to write man pages") print("") print("********************************") self.install_man = None self.dump_dirs("Installation directories") def expand_dirs(self): dftinstall.expand_dirs(self) self._expand_attrs(['install_man']) def has_man(self): return os.name == "posix" sub_commands = list(dftinstall.sub_commands) sub_commands.append(('install_man', has_man)) # end of man pages handling cmdclass = {'install_data': install_data, # smart_install_data, 'build_py': smart_build_py} if build_ext is not None: cmdclass['build_ext'] = build_ext if USE_SMART_INSTALL_SCRIPTS: # typical use of user without superuser privileges cmdclass['install_scripts'] = smart_install_scripts if os.name == "posix": cmdclass['install'] = install cmdclass['install_man'] = install_man class sdist_debian(sdist): """ Tailor made sdist for debian * remove auto-generated doc * remove cython generated .c files * remove cython generated .cpp files * remove .bat files * include .l man files """ @staticmethod def get_debian_name(): import version name = "%s_%s" % (PROJECT, version.debianversion) return name def prune_file_list(self): sdist.prune_file_list(self) to_remove = ["doc/build", "doc/pdf", "doc/html", "pylint", "epydoc"] print("Removing files for debian") for rm in to_remove: self.filelist.exclude_pattern(pattern="*", anchor=False, prefix=rm) # this is for Cython files specifically: remove C & html files search_root = os.path.dirname(os.path.abspath(__file__)) for root, _, files in os.walk(search_root): for afile in files: if os.path.splitext(afile)[1].lower() == ".pyx": base_file = os.path.join(root, afile)[len(search_root) + 1:-4] self.filelist.exclude_pattern(pattern=base_file + ".c") self.filelist.exclude_pattern(pattern=base_file + ".cpp") self.filelist.exclude_pattern(pattern=base_file + ".html") def make_distribution(self): self.prune_file_list() sdist.make_distribution(self) dest = self.archive_files[0] dirname, basename = os.path.split(dest) base, ext = os.path.splitext(basename) while ext in [".zip", ".tar", ".bz2", ".gz", ".Z", ".lz", ".orig"]: base, ext = os.path.splitext(base) if ext: dest = "".join((base, ext)) else: dest = base # sp = dest.split("-") # base = sp[:-1] # nr = sp[-1] debian_arch = os.path.join(dirname, self.get_debian_name() + ".orig.tar.gz") os.rename(self.archive_files[0], debian_arch) self.archive_files = [debian_arch] print("Building debian .orig.tar.gz in %s" % self.archive_files[0]) cmdclass['debian_src'] = sdist_debian description = "Mapping and X-Ray Fluorescence Analysis" long_description = """Stand-alone application and Python tools for interactive and/or batch processing analysis of X-Ray Fluorescence Spectra. Graphical user interface (GUI) and batch processing capabilities provided """ ####################### # build_doc commands # ####################### try: import sphinx import sphinx.util.console sphinx.util.console.color_terminal = lambda: False from sphinx.setup_command import BuildDoc except: sphinx = None if sphinx: class build_doc(BuildDoc): def run(self): # make sure the python path is pointing to the newly built # code so that the documentation is built on this and not a # previously installed version build = self.get_finalized_command('build') sys.path.insert(0, os.path.abspath(build.build_lib)) # Build the Users Guide in HTML and TeX format for builder in ('html', 'latex'): self.builder = builder self.builder_target_dir = os.path.join(self.build_dir, builder) self.mkpath(self.builder_target_dir) builder_index = 'index_{0}.txt'.format(builder) BuildDoc.run(self) sys.path.pop(0) cmdclass['build_doc'] = build_doc classifiers = ["Development Status :: 5 - Production/Stable", "Programming Language :: Python :: 2", "Programming Language :: Python :: 3", "Intended Audience :: Developers", "Intended Audience :: End Users/Desktop", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Topic :: Software Development :: Libraries :: Python Modules", "Operating System :: Microsoft :: Windows", "Operating System :: Unix", "Operating System :: MacOS :: MacOS X", "Operating System :: POSIX", "Topic :: Scientific/Engineering :: Chemistry", "Topic :: Scientific/Engineering :: Physics", "Topic :: Scientific/Engineering :: Visualization", ] install_requires = ["numpy", "matplotlib", "fisx>=1.1.4"] setup_requires = ["numpy"] if USING_SETUPTOOLS: distrib = setup(name="PyMca5", version= __version__, description = description, author = "V. Armando Sole", author_email="sole@esrf.fr", license= "MIT", url = "http://pymca.sourceforge.net", download_url="https://github.com/vasole/pymca/archive/v%s.tar.gz" % __version__, long_description = long_description, packages = packages, platforms='any', ext_modules = ext_modules, data_files = data_files, package_data = package_data, ## package_dir = {'':'PyMca', 'PyMca.tests':'tests'}, cmdclass = cmdclass, scripts=script_files, py_modules=py_modules, classifiers=classifiers, install_requires=install_requires, setup_requires=setup_requires, ) else: distrib = setup(name="PyMca5", version= __version__, description = description, author = "V. Armando Sole", author_email="sole@esrf.fr", license= "MIT", url = "http://pymca.sourceforge.net", download_url="https://github.com/vasole/pymca/archive/v%s.tar.gz" % __version__, long_description = long_description, packages = packages, platforms='any', ext_modules = ext_modules, data_files = data_files, package_data = package_data, ## package_dir = {'':'PyMca', 'PyMca.tests':'tests'}, cmdclass = cmdclass, scripts=script_files, py_modules=py_modules, classifiers=classifiers, ) try: print("PyMca is installed in %s " % PYMCA_INSTALL_DIR) print("PyMca data files are installed in %s " % PYMCA_DATA_DIR) print("HTML help files are installed in %s " % PYMCA_DOC_DIR) except: #I really do not see how this may happen but ... pass if fisx_src is None or ("sdist" in sys.argv): sys.exit(0) # # What follows is ugly and it is not intended for # use outside the ESRF # # fisx should be installed as a separated Debian/RedHat/... package # fisx_src = os.path.abspath(fisx_src) # reproduce fisx setup.py file here ... # deal with required data #for the time being there is no doc directory FISX_DATA_DIR = os.getenv("FISX_DATA_DIR") FISX_DOC_DIR = os.getenv("FISX_DOC_DIR") if FISX_DATA_DIR is None: FISX_DATA_DIR = os.path.join('fisx', 'fisx_data') if FISX_DOC_DIR is None: FISX_DOC_DIR = os.path.join('fisx', 'fisx_data') def getFisxVersion(): cppDir = os.path.join(fisx_src, "src") content = open(os.path.join(cppDir, "fisx_version.h"), "r").readlines() for line in content: if "FISX_VERSION_STR" in line: version = line.split("FISX_VERSION_STR")[-1].replace("\n","") version = version.replace(" ","") return version[1:-1] __version__ = getFisxVersion() print("Processing fisx library %s\n" % __version__) class smart_build_fisx_py(_build_py): def run (self): toReturn = _build_py.run(self) global FISX_DATA_DIR global FISX_DOC_DIR global INSTALL_DIR defaultDataPath = os.path.join('fisx', 'fisx_data') defaultDocPath = os.path.join('fisx', 'fisx_data') if (FISX_DATA_DIR == defaultDataPath) or\ (FISX_DOC_DIR == defaultDocPath): #default, just make sure the complete path is there install_cmd = self.get_finalized_command('install') INSTALL_DIR = getattr(install_cmd, 'install_lib') #packager should have given the complete path #in other cases if FISX_DATA_DIR == defaultDataPath: FISX_DATA_DIR = os.path.join(INSTALL_DIR, FISX_DATA_DIR) if FISX_DOC_DIR == defaultDocPath: #default, just make sure the complete path is there FISX_DOC_DIR = os.path.join(INSTALL_DIR, FISX_DOC_DIR) target = os.path.join(self.build_lib, "fisx", "DataDir.py") fid = open(target,'r') content = fid.readlines() fid.close() fid = open(target,'w') for line in content: lineToBeWritten = line if lineToBeWritten.startswith("FISX_DATA_DIR"): lineToBeWritten = "FISX_DATA_DIR = r'%s'\n" % FISX_DATA_DIR if line.startswith("FISX_DOC_DIR"): lineToBeWritten = "FISX_DOC_DIR = r'%s'\n" % FISX_DOC_DIR fid.write(lineToBeWritten) fid.close() return toReturn class smart_install_fisx_data(install_data): def run(self): global INSTALL_DIR global FISX_DATA_DIR global FISX_DOC_DIR #need to change self.install_dir to the library dir install_cmd = self.get_finalized_command('install') self.install_dir = getattr(install_cmd, 'install_lib') INSTALL_DIR = self.install_dir print("fisx to be installed in %s" % self.install_dir) return install_data.run(self) topLevel = fisx_src fileList = glob.glob(os.path.join(topLevel, "fisx_data", "*.dat")) fileList.append(os.path.join(topLevel, "changelog.txt")) fileList.append(os.path.join(topLevel, "LICENSE")) fileList.append(os.path.join(topLevel, "README.rst")) fileList.append(os.path.join(topLevel, "TODO")) data_files = [(FISX_DATA_DIR, fileList)] # actual build stuff FORCE = False #cython_dir = os.path.join(os.getcwd(), "python", "cython") cython_dir = os.path.join(fisx_src, "python", "cython") if build_ext: #make sure everything is totally clean? fileList = glob.glob(os.path.join(cython_dir, "*.cpp")) fileList += glob.glob(os.path.join(cython_dir, "*.h")) if FORCE: for fname in fileList: if os.path.exists(fname): os.remove(fname) #this does not work: #src = glob.glob(os.path.join(cython_dir, "*pyx")) multiple_pyx = os.path.join(cython_dir, "_fisx.pyx") if os.path.exists(multiple_pyx): try: os.remove(multiple_pyx) except: print("WARNING: Could not delete file. Assuming up-to-date.") if not os.path.exists(multiple_pyx): pyx = glob.glob(os.path.join(cython_dir, "*pyx")) # until _fisx.pyx gets updated, we have to put # the name PyEPDL after PyElement pyx = sorted(pyx, key=str.lower) f = open(multiple_pyx, 'wb') for fname in pyx: inFile = open(fname, 'rb') lines = inFile.readlines() inFile.close() for line in lines: f.write(line) f.close() src = [multiple_pyx] else: src = glob.glob(os.path.join(cython_dir,'*.cpp')) src += glob.glob(os.path.join(fisx_src, 'src', 'fisx_*.cpp')) include_dirs = [numpy.get_include(), os.path.join(fisx_src, "src")] if sys.platform == 'win32': extra_compile_args = ['/EHsc'] extra_link_args = [] else: extra_compile_args = [] extra_link_args = [] def buildExtension(): module = Extension(name="fisx._fisx", sources=src, include_dirs=include_dirs, extra_compile_args=extra_compile_args, extra_link_args=extra_link_args, language="c++", ) return module ext_modules = [buildExtension()] cmdclass = {'install_data':smart_install_fisx_data, 'build_py':smart_build_fisx_py, 'build_ext': build_ext, } description = "Quantitative X-Ray Fluorescence Analysis Support Library" long_description = """ Tools to evaluate the expected X-ray fluorescence measured when a sample is excitated by an X-ray beam. Secondary and tertiary excitation effects taken into account. """ # tell distutils where to find the packages package_dir = {"":os.path.join(fisx_src, "python")} packages = ['fisx', 'fisx.tests'] setup( name='fisx', version=__version__, author="V. Armando Sole", author_email="sole@esrf.fr", description=description, long_description=long_description, license="MIT", url="https://github.com/vasole/fisx", package_dir=package_dir, packages=packages, ext_modules=ext_modules, data_files=data_files, cmdclass=cmdclass, ) os.chdir(os.path.abspath(os.path.dirname(__file__))) PyMca5-5.2.2/LICENSE.GPL0000644000276300001750000004405213136054446014364 0ustar solebliss00000000000000 The PyMca X-Ray Fluorescence Toolkit is Copyright (C) 2004-2014 of the European Synchrotron Radiation Facility (ESRF). You may use, distribute and copy the PyMca XRF Toolkit under the terms of GNU General Public License version 2, which is displayed below, or (at your option) any later version. ------------------------------------------------------------------------- GNU GENERAL PUBLIC LICENSE Version 2, June 1991 Copyright (C) 1989, 1991 Free Software Foundation, Inc. 51 Franklin Steet, Fifth Floor, Boston, MA 02110-1301, USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. Preamble The licenses for most software are designed to take away your freedom to share and change it. By contrast, the GNU General Public License is intended to guarantee your freedom to share and change free software--to make sure the software is free for all its users. This General Public License applies to most of the Free Software Foundation's software and to any other program whose authors commit to using it. (Some other Free Software Foundation software is covered by the GNU Library General Public License instead.) You can apply it to your programs, too. When we speak of free software, we are referring to freedom, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for this service if you wish), that you receive source code or can get it if you want it, that you can change the software or use pieces of it in new free programs; and that you know you can do these things. To protect your rights, we need to make restrictions that forbid anyone to deny you these rights or to ask you to surrender the rights. These restrictions translate to certain responsibilities for you if you distribute copies of the software, or if you modify it. For example, if you distribute copies of such a program, whether gratis or for a fee, you must give the recipients all the rights that you have. You must make sure that they, too, receive or can get the source code. And you must show them these terms so they know their rights. We protect your rights with two steps: (1) copyright the software, and (2) offer you this license which gives you legal permission to copy, distribute and/or modify the software. Also, for each author's protection and ours, we want to make certain that everyone understands that there is no warranty for this free software. If the software is modified by someone else and passed on, we want its recipients to know that what they have is not the original, so that any problems introduced by others will not reflect on the original authors' reputations. Finally, any free program is threatened constantly by software patents. We wish to avoid the danger that redistributors of a free program will individually obtain patent licenses, in effect making the program proprietary. To prevent this, we have made it clear that any patent must be licensed for everyone's free use or not licensed at all. The precise terms and conditions for copying, distribution and modification follow. GNU GENERAL PUBLIC LICENSE TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION 0. This License applies to any program or other work which contains a notice placed by the copyright holder saying it may be distributed under the terms of this General Public License. The "Program", below, refers to any such program or work, and a "work based on the Program" means either the Program or any derivative work under copyright law: that is to say, a work containing the Program or a portion of it, either verbatim or with modifications and/or translated into another language. (Hereinafter, translation is included without limitation in the term "modification".) Each licensee is addressed as "you". Activities other than copying, distribution and modification are not covered by this License; they are outside its scope. The act of running the Program is not restricted, and the output from the Program is covered only if its contents constitute a work based on the Program (independent of having been made by running the Program). Whether that is true depends on what the Program does. 1. You may copy and distribute verbatim copies of the Program's source code as you receive it, in any medium, provided that you conspicuously and appropriately publish on each copy an appropriate copyright notice and disclaimer of warranty; keep intact all the notices that refer to this License and to the absence of any warranty; and give any other recipients of the Program a copy of this License along with the Program. You may charge a fee for the physical act of transferring a copy, and you may at your option offer warranty protection in exchange for a fee. 2. You may modify your copy or copies of the Program or any portion of it, thus forming a work based on the Program, and copy and distribute such modifications or work under the terms of Section 1 above, provided that you also meet all of these conditions: a) You must cause the modified files to carry prominent notices stating that you changed the files and the date of any change. b) You must cause any work that you distribute or publish, that in whole or in part contains or is derived from the Program or any part thereof, to be licensed as a whole at no charge to all third parties under the terms of this License. c) If the modified program normally reads commands interactively when run, you must cause it, when started running for such interactive use in the most ordinary way, to print or display an announcement including an appropriate copyright notice and a notice that there is no warranty (or else, saying that you provide a warranty) and that users may redistribute the program under these conditions, and telling the user how to view a copy of this License. (Exception: if the Program itself is interactive but does not normally print such an announcement, your work based on the Program is not required to print an announcement.) These requirements apply to the modified work as a whole. If identifiable sections of that work are not derived from the Program, and can be reasonably considered independent and separate works in themselves, then this License, and its terms, do not apply to those sections when you distribute them as separate works. But when you distribute the same sections as part of a whole which is a work based on the Program, the distribution of the whole must be on the terms of this License, whose permissions for other licensees extend to the entire whole, and thus to each and every part regardless of who wrote it. Thus, it is not the intent of this section to claim rights or contest your rights to work written entirely by you; rather, the intent is to exercise the right to control the distribution of derivative or collective works based on the Program. In addition, mere aggregation of another work not based on the Program with the Program (or with a work based on the Program) on a volume of a storage or distribution medium does not bring the other work under the scope of this License. 3. You may copy and distribute the Program (or a work based on it, under Section 2) in object code or executable form under the terms of Sections 1 and 2 above provided that you also do one of the following: a) Accompany it with the complete corresponding machine-readable source code, which must be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or, b) Accompany it with a written offer, valid for at least three years, to give any third party, for a charge no more than your cost of physically performing source distribution, a complete machine-readable copy of the corresponding source code, to be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or, c) Accompany it with the information you received as to the offer to distribute corresponding source code. (This alternative is allowed only for noncommercial distribution and only if you received the program in object code or executable form with such an offer, in accord with Subsection b above.) The source code for a work means the preferred form of the work for making modifications to it. For an executable work, complete source code means all the source code for all modules it contains, plus any associated interface definition files, plus the scripts used to control compilation and installation of the executable. However, as a special exception, the source code distributed need not include anything that is normally distributed (in either source or binary form) with the major components (compiler, kernel, and so on) of the operating system on which the executable runs, unless that component itself accompanies the executable. If distribution of executable or object code is made by offering access to copy from a designated place, then offering equivalent access to copy the source code from the same place counts as distribution of the source code, even though third parties are not compelled to copy the source along with the object code. 4. You may not copy, modify, sublicense, or distribute the Program except as expressly provided under this License. Any attempt otherwise to copy, modify, sublicense or distribute the Program is void, and will automatically terminate your rights under this License. However, parties who have received copies, or rights, from you under this License will not have their licenses terminated so long as such parties remain in full compliance. 5. You are not required to accept this License, since you have not signed it. However, nothing else grants you permission to modify or distribute the Program or its derivative works. These actions are prohibited by law if you do not accept this License. Therefore, by modifying or distributing the Program (or any work based on the Program), you indicate your acceptance of this License to do so, and all its terms and conditions for copying, distributing or modifying the Program or works based on it. 6. Each time you redistribute the Program (or any work based on the Program), the recipient automatically receives a license from the original licensor to copy, distribute or modify the Program subject to these terms and conditions. You may not impose any further restrictions on the recipients' exercise of the rights granted herein. You are not responsible for enforcing compliance by third parties to this License. 7. If, as a consequence of a court judgment or allegation of patent infringement or for any other reason (not limited to patent issues), conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot distribute so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not distribute the Program at all. For example, if a patent license would not permit royalty-free redistribution of the Program by all those who receive copies directly or indirectly through you, then the only way you could satisfy both it and this License would be to refrain entirely from distribution of the Program. If any portion of this section is held invalid or unenforceable under any particular circumstance, the balance of the section is intended to apply and the section as a whole is intended to apply in other circumstances. It is not the purpose of this section to induce you to infringe any patents or other property right claims or to contest validity of any such claims; this section has the sole purpose of protecting the integrity of the free software distribution system, which is implemented by public license practices. Many people have made generous contributions to the wide range of software distributed through that system in reliance on consistent application of that system; it is up to the author/donor to decide if he or she is willing to distribute software through any other system and a licensee cannot impose that choice. This section is intended to make thoroughly clear what is believed to be a consequence of the rest of this License. 8. If the distribution and/or use of the Program is restricted in certain countries either by patents or by copyrighted interfaces, the original copyright holder who places the Program under this License may add an explicit geographical distribution limitation excluding those countries, so that distribution is permitted only in or among countries not thus excluded. In such case, this License incorporates the limitation as if written in the body of this License. 9. The Free Software Foundation may publish revised and/or new versions of the General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. Each version is given a distinguishing version number. If the Program specifies a version number of this License which applies to it and "any later version", you have the option of following the terms and conditions either of that version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of this License, you may choose any version ever published by the Free Software Foundation. 10. If you wish to incorporate parts of the Program into other free programs whose distribution conditions are different, write to the author to ask for permission. For software which is copyrighted by the Free Software Foundation, write to the Free Software Foundation; we sometimes make exceptions for this. Our decision will be guided by the two goals of preserving the free status of all derivatives of our free software and of promoting the sharing and reuse of software generally. NO WARRANTY 11. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 12. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. END OF TERMS AND CONDITIONS How to Apply These Terms to Your New Programs If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms. To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively convey the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found. Copyright (C) This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Steet, Fifth Floor, Boston, MA 02110-1301, USA. Also add information on how to contact you by electronic and paper mail. If the program is interactive, make it output a short notice like this when it starts in an interactive mode: Gnomovision version 69, Copyright (C) year name of author Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, the commands you use may be called something other than `show w' and `show c'; they could even be mouse-clicks or menu items--whatever suits your program. You should also get your employer (if you work as a programmer) or your school, if any, to sign a "copyright disclaimer" for the program, if necessary. Here is a sample; alter the names: Yoyodyne, Inc., hereby disclaims all copyright interest in the program `Gnomovision' (which makes passes at compilers) written by James Hacker. , 1 April 1989 Ty Coon, President of Vice This General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Library General Public License instead of this License. ------------------------------------------------------------------------- PyMca5-5.2.2/doc/0000755000276300001750000000000013205526235013473 5ustar solebliss00000000000000PyMca5-5.2.2/doc/man/0000755000276300001750000000000013205526235014246 5ustar solebliss00000000000000PyMca5-5.2.2/doc/man/pymcabatch.10000644000276300001750000000321313136054446016445 0ustar solebliss00000000000000.TH pymcabatch 1 "March 2012" "ESRF" "PyMca X-Ray Fluorescence Toolkit" .SH NAME pymcabatch - Batch fitting of X-ray Fluorescence Spectra .SH SYNOPSIS pymcabatch [OPTIONS] [FILES] .SH DESCRIPTION .P Loops over a series of input files to which the same fitting parameters can be applied. The setup of the fit configuration is usually made via the main PyMca application. The program stores the fitted parameters inside the IMAGES directory created in the user specfified output directory. The pymcapostbatch tool can perform further analysis via correlation tools. The user can also request an HTML report. This is much slower but can be convenient to browse the results with a Web browser. This tool is also accessible via the Tools menu of the main PyMca window application. .SH EXAMPLES .B pymcabatch Open a dialog to select input files, fit configuration, output directory and output parameters. .B pymcabatch --cfg=fitconfig.cfg --outdir=/tmp/ *.mca Fit all the .mca files in current directory using the specified confifuration file fitconfig.cfg and stores the output in /tmp .B pymcabatch --cfg=fitconfig.cfg --outdir=/tmp/ --listfile=inputfiles Same as above but taken the files from the inputfiles file. This file is just a text file with one file path in each line. .B pymcabatch --cfg=fitconfig.cfg --outdir=/tmp/ --concentrations=1 --listfile=inputfiles Same as above but calculating the concentrations. .SH CAVEATS This tool, when used in command line mode, could run fully Qt independent because in that case it uses Qt just for showing the progress bar. .SH SEE ALSO pymca, pymcapostbatch PyMca5-5.2.2/doc/man/peakidentifier.10000644000276300001750000000105113136054446017313 0ustar solebliss00000000000000.TH peakidentifier 1 "March 2012" "ESRF" "PyMca X-Ray Fluorescence Toolkit" .SH NAME peakidentifier - Given a photon energy, list the possible elements. .SH SYNOPSIS peakidentifier .SH DESCRIPTION .P Given an energy and a threshold, list all the elements emitting X-rays in the range [energy-threshold, energy+threshold]. User can select the lines to be considered: K, L1, L2, L3, M, ... The program list the element, the IUPAC line name and the relative intensity of the line among the family of lines to which belong. .SH SEE ALSO xraylib PyMca5-5.2.2/doc/man/pymca.10000644000276300001750000000153413136054446015447 0ustar solebliss00000000000000.\" .\" Man page for pymca .\" .TH pymca 1 "March 2012" "ESRF" "PyMca X-Ray Fluorescence Toolkit" .SH NAME pymca - PyMca X-Ray Fluorescence Toolkit main application .SH SYNOPSIS pymca [OPTION]... [FILE] .SH DESCRIPTION .P Start the graphical user interface of the PyMca X-Ray Fluorescence Toolkit main window using latest user defined default settings. .P If FILE is given, it will be opened in the program provided its format is supported. .B -f bypass user defined default settings .SH EXAMPLES .B pymca -f .P Start the program bypassing user defined default settings. .B pymca -f LShellConstants.dat .P Open the LShellConstants.dat and list its contents in the source browser. .B pymca -f your_HDF5_file.h5 .P Allows one to browse the HDF5 file your_HDF5_file.h5 in PyMca if the Python module h5py is installed. .SH SEE ALSO HDF5, h5py PyMca5-5.2.2/doc/man/rgbcorrelator.10000644000276300001750000000177413136054446017213 0ustar solebliss00000000000000.TH rgbcorrelator 1 "March 2012" "ESRF" "PyMca X-Ray Fluorescence Toolkit" .SH NAME rgbcorrelator - PyMca image correlation analysis application .SH SYNOPSIS rgbcorrelator [FILE1] [FILE2] ... .SH DESCRIPTION .P This an alias to pymcapostbatch Start the graphical user interface of the PyMca X-Ray Fluorescence Toolkit rgbcorrelator tool. It allows one to superpose up to three images in RED, GREEN and BLUE in order to investigate correlations among them. All the images have to be of the same dimension. The program builds a table with all the input images but only three of them can be superposed at the same time. This program also offers the possibility to perform mathematical operations among the images and simple multivariate analysis. .SH EXAMPLES .B rgbcorrelator .P Start the program with a file browser to select the input files. .B rgbcorrelator file1.tif file2.tif file3.tif file4.tif .P Tries to open the files named file1.tif, file2.tif, file3.tif and file4.tif. .SH SEE ALSO ImageJ PyMca5-5.2.2/doc/man/pymcaroitool.10000644000276300001750000000403013136054446017051 0ustar solebliss00000000000000.\" .\" Man page for pymcaroitool .\" .TH pymcaroitool 1 "March 2012" "ESRF" "PyMca X-Ray Fluorescence Toolkit" .SH NAME pymcaroitool - PyMca region-of-interest imaging X application .SH SYNOPSIS pymcaroitool [OPTIONS]... [FILE(S)] .SH DESCRIPTION .P Start the graphical user interface of the PyMca X-Ray Fluorescence Toolkit region-of-interest imaging tool. This tool is best suited for handling datasets that can be represented by three-dimensional arrays. Typical cases are stacks of images (first dimension is image number) or 2D maps of 1D spectra (last dimension is spectrum channel number). It allows one to display maps of particular regions of the spectra or spectra of a particular region of the map. A system of plugins allow to extend the capabilities of this tool. Plugins for multivariate analysis are already built in. .P If FILE is given, it will be opened in the program provided its format is supported. .SH EXAMPLES .B pymcaroitool .P Start the program with a file browser to select the input files. .B pymcaroitool file_0001.edf .P Tries to open the file named file_0001.edf and all indexed files of the form file_????.edf where ???? is a number. .B pymcaroitool --imagestack=1 file_0001.edf .P Tries to open the file named file_0001.edf and all indexed files of the form file_????.edf where ???? is a number as a set of images. .B pymcaroitool uncompressed_tiff_file_0001.tif .P Tries to open a series of uncompressed TIFF files as an image stack. .B pymcaroitool --begin=100 --end=200 --filepattern=file_%05d.edf .P Start the program loading the single indexed files from file_00100.edf to file_00200.edf .B pymcaroitool --begin=10,100 --end=20,200 --filepattern=row%d_col%03d.dat .P Load the double indexed files from row10_col100.dat, row10_col101.dat, ... to row20_col00199.dat, row20_col00200.dat .SH CAVEATS If files f_000.xxx and f_001.xxx are present in the same directory, the program will always try to load both of them unless a cumbersome way using a file pattern is used. .SH SEE ALSO HDF5, h5py PyMca5-5.2.2/doc/man/edfviewer.10000644000276300001750000000124113136054446016311 0ustar solebliss00000000000000.TH edfviewer 1 "March 2012" "ESRF" "PyMca X-Ray Fluorescence Toolkit" .SH NAME edfviewer - Simple EDF file viewer .SH SYNOPSIS edfviewer [FILE(S)] .SH DESCRIPTION .P Tool to visualize image files which format has been wrapped as EDF into the X-ray fluorescence toolkit. Files that can be visualized by this tool include European Synchrotron Radiation Facility data format, uncompressed or packbits TIFF, ADSC .img, Pilatus .cbf and MarCCD among others. Consider other tools if you want to do something else than just simple visualization: pymca, pymcaroitool or rgbcorrelator should be preferred in that case. .SH SEE ALSO pymca, pymcaroitool, rgbcorrelator PyMca5-5.2.2/doc/man/mca2edf.10000644000276300001750000000261113136054446015634 0ustar solebliss00000000000000.TH mca2edf 1 "March 2012" "ESRF" "PyMca X-Ray Fluorescence Toolkit" .SH NAME mca2edf - Convert SPEC file format files to EDF format .SH SYNOPSIS mca2edf [OPTIONS] [FILES] .SH DESCRIPTION .P X-ray maps were stored at the European Synchrotron Radiation Facility as a set of images in ESRF Data Format (EDF). The image rows being associated to points of a horizontal sample scan and the image columns to the spectrum channels. This tool allows one to convert a set of files wrapped by the PyMca Toolkit as SPEC file format, and therefore without sample position information, to European Synchrotron Radiation Facility data format (EDF). Its usefulness is nowdays somehow limited because recent PyMca developements allow to reshape nspectra x nchannels datasets in the tools making use of the shape information (pymcaroitool, pymcapostbatch). .SH EXAMPLES .B mca2edf Open a dialog to select input files, output directory and the number of spectra on each horizontal row. .B mca2edf --outdir=/tmp --mcastep=2 *.mca Convert all the .mca files in current directory to a set of EDF files containing two spectra. The output is placed in /tmp .B mca2edf --outdir=/tmp --mcastep=2 --listfile=input_file Same as before but applied to all the files listed in input_file. Each line of input_file must contain a valid file name. .SH SEE ALSO pymcaroitool, pymcapostbatch PyMca5-5.2.2/doc/man/elementsinfo.10000644000276300001750000000055113136054446017024 0ustar solebliss00000000000000.TH elementsinfo 1 "March 2012" "ESRF" "PyMca X-Ray Fluorescence Toolkit" .SH NAME elementsinfo - Periodic table with Atomic Constants used by PyMca .SH SYNOPSIS elementsinfo .SH DESCRIPTION .P Periodic table displaying the shell constants and X-ray emission branching ratios as function of photon excitation energy used by PyMca. .SH SEE ALSO xraylib PyMca5-5.2.2/doc/man/pymcapostbatch.10000644000276300001750000000210513136054446017352 0ustar solebliss00000000000000.TH pymcapostbatch 1 "March 2012" "ESRF" "PyMca X-Ray Fluorescence Toolkit" .SH NAME pymcapostbatch - PyMca batch result analysis application .SH SYNOPSIS pymcapostbatch [FILE1] [FILE2] ... .SH DESCRIPTION .P Start the graphical user interface of the PyMca X-Ray Fluorescence Toolkit image correlation tool. This tool is automatically launched by the PyMca X-ray fluorescence toolkit after a batch analysis. It allows one to superpose up to three images in RED, GREEN and BLUE in order to investigate correlations among them. All the images have to be of the same dimension. The program builds a table with all the input images but only three of them can be superposed at the same time. This program also offers the possibility to perform mathematical operations among the images and simple multivariate analysis. .SH EXAMPLES .B pymcapostbatch .P Start the program with a file browser to select the input files. .B pymcapostbatch file1.tif file2.tif file3.tif file4.tif .P Tries to open the files named file1.tif, file2.tif, file3.tif and file4.tif. .SH SEE ALSO ImageJ PyMca5-5.2.2/doc/source/0000755000276300001750000000000013205526235014773 5ustar solebliss00000000000000PyMca5-5.2.2/doc/source/PyMca5.PyMcaMath.sift.rst0000644000276300001750000000247513136054446021424 0ustar solebliss00000000000000sift Package ============ :mod:`sift` Package ------------------- .. automodule:: PyMca5.PyMcaMath.sift :members: :undoc-members: :show-inheritance: :mod:`alignment` Module ----------------------- .. automodule:: PyMca5.PyMcaMath.sift.alignment :members: :undoc-members: :show-inheritance: :mod:`interpolation` Module --------------------------- .. automodule:: PyMca5.PyMcaMath.sift.interpolation :members: :undoc-members: :show-inheritance: :mod:`match` Module ------------------- .. automodule:: PyMca5.PyMcaMath.sift.match :members: :undoc-members: :show-inheritance: :mod:`opencl` Module -------------------- .. automodule:: PyMca5.PyMcaMath.sift.opencl :members: :undoc-members: :show-inheritance: :mod:`param` Module ------------------- .. automodule:: PyMca5.PyMcaMath.sift.param :members: :undoc-members: :show-inheritance: :mod:`plan` Module ------------------ .. automodule:: PyMca5.PyMcaMath.sift.plan :members: :undoc-members: :show-inheritance: :mod:`sift` Module ------------------ .. automodule:: PyMca5.PyMcaMath.sift.sift :members: :undoc-members: :show-inheritance: :mod:`utils` Module ------------------- .. automodule:: PyMca5.PyMcaMath.sift.utils :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaPhysics.rst0000644000276300001750000000067313136054446021207 0ustar solebliss00000000000000PyMcaPhysics Package ==================== :mod:`PyMcaPhysics` Package --------------------------- .. automodule:: PyMca5.PyMcaPhysics :members: :undoc-members: :show-inheritance: :mod:`SixCircle` Module ----------------------- .. automodule:: PyMca5.PyMcaPhysics.SixCircle :members: :undoc-members: :show-inheritance: Subpackages ----------- .. toctree:: PyMca5.PyMcaPhysics.xas PyMca5.PyMcaPhysics.xrf PyMca5-5.2.2/doc/source/conf.py0000644000276300001750000002007713136054446016303 0ustar solebliss00000000000000# -*- coding: utf-8 -*- # # PyMca documentation build configuration file, created by # sphinx-quickstart on Mon Dec 9 19:27:24 2013. # # This file is execfile()d with the current directory set to its containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. import sys, os # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. #sys.path.insert(0, os.path.abspath('.')) # -- General configuration ----------------------------------------------------- # __init__ start # uncomment these lines to document __init__ methods #def skip(app, what, name, obj, skip, options): # if name == "__init__": # return False # return skip # #def setup(app): # app.connect("autodoc-skip-member", skip) # # __init__ end # If your documentation needs a minimal Sphinx version, state it here. #needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be extensions # coming with Sphinx (named 'sphinx.ext.*') or your custom ones. extensions = ['sphinx.ext.autodoc', 'sphinx.ext.coverage', 'sphinx.ext.viewcode'] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix of source filenames. source_suffix = '.rst' # The encoding of source files. #source_encoding = 'utf-8-sig' # The master toctree document. master_doc = 'index' # General information about the project. project = u'PyMca5' copyright = u'2014, V Armando Solé' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = '5.0.0' # The full version, including alpha/beta/rc tags. release = '5.0.0' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. #language = None # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: #today = '' # Else, today_fmt is used as the format for a strftime call. #today_fmt = '%B %d, %Y' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns = [] # The reST default role (used for this markup: `text`) to use for all documents. #default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). #add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. #show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # A list of ignored prefixes for module index sorting. #modindex_common_prefix = [] # If true, keep warnings as "system message" paragraphs in the built documents. #keep_warnings = False # -- Options for HTML output --------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = 'default' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. #html_theme_options = {} # Add any paths that contain custom themes here, relative to this directory. #html_theme_path = [] # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". #html_title = None # A shorter title for the navigation bar. Default is the same as html_title. #html_short_title = None # The name of an image file (relative to this directory) to place at the top # of the sidebar. #html_logo = None # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. #html_favicon = None # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. #html_last_updated_fmt = '%b %d, %Y' # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. #html_use_smartypants = True # Custom sidebar templates, maps document names to template names. #html_sidebars = {} # Additional templates that should be rendered to pages, maps page names to # template names. #html_additional_pages = {} # If false, no module index is generated. #html_domain_indices = True # If false, no index is generated. #html_use_index = True # If true, the index is split into individual pages for each letter. #html_split_index = False # If true, links to the reST sources are added to the pages. #html_show_sourcelink = True # If true, "Created using Sphinx" is shown in the HTML footer. Default is True. #html_show_sphinx = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. #html_show_copyright = True # If true, an OpenSearch description file will be output, and all pages will # contain a tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. #html_use_opensearch = '' # This is the file name suffix for HTML files (e.g. ".xhtml"). #html_file_suffix = None # Output file base name for HTML help builder. htmlhelp_basename = 'PyMcadoc' # -- Options for LaTeX output -------------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). #'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). #'pointsize': '10pt', # Additional stuff for the LaTeX preamble. #'preamble': '', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, author, documentclass [howto/manual]). latex_documents = [ ('index', 'PyMca5.tex', u'PyMca5 Documentation', u'V Armando Solé', 'manual'), ] # The name of an image file (relative to this directory) to place at the top of # the title page. #latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. #latex_use_parts = False # If true, show page references after internal links. #latex_show_pagerefs = False # If true, show URL addresses after external links. #latex_show_urls = False # Documents to append as an appendix to all manuals. #latex_appendices = [] # If false, no module index is generated. #latex_domain_indices = True # -- Options for manual page output -------------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ ('index', 'pymca5', u'PyMca5 Documentation', [u'V Armando Solé'], 1) ] # If true, show URL addresses after external links. #man_show_urls = False # -- Options for Texinfo output ------------------------------------------------ # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ ('index', 'PyMca5', u'PyMca5 Documentation', u'V Armando Solé', 'PyMca5', 'One line description of project.', 'Miscellaneous'), ] # Documents to append as an appendix to all manuals. #texinfo_appendices = [] # If false, no module index is generated. #texinfo_domain_indices = True # How to display URL addresses: 'footnote', 'no', or 'inline'. #texinfo_show_urls = 'footnote' # If true, do not generate a @detailmenu in the "Top" node's menu. #texinfo_no_detailmenu = False PyMca5-5.2.2/doc/source/PyMca5.PyMcaMath.PyMcaSciPy.rst0000644000276300001750000000016613136054446022433 0ustar solebliss00000000000000PyMcaSciPy Package ================== Subpackages ----------- .. toctree:: PyMca5.PyMcaMath.PyMcaSciPy.signal PyMca5-5.2.2/doc/source/PyMca5.PyMcaGui.pymca.rst0000644000276300001750000001725113136054446021421 0ustar solebliss00000000000000pymca Package ============= :mod:`ChangeLog` Module ----------------------- .. automodule:: PyMca5.PyMcaGui.pymca.ChangeLog :members: :undoc-members: :show-inheritance: :mod:`EdfFileSimpleViewer` Module --------------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.EdfFileSimpleViewer :members: :undoc-members: :show-inheritance: :mod:`ExternalImagesWindow` Module ---------------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.ExternalImagesWindow :members: :undoc-members: :show-inheritance: :mod:`Fit2Spec` Module ---------------------- .. automodule:: PyMca5.PyMcaGui.pymca.Fit2Spec :members: :undoc-members: :show-inheritance: :mod:`Mca2Edf` Module --------------------- .. automodule:: PyMca5.PyMcaGui.pymca.Mca2Edf :members: :undoc-members: :show-inheritance: :mod:`McaCalibrationControlGUI` Module -------------------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.McaCalibrationControlGUI :members: :undoc-members: :show-inheritance: :mod:`McaCustomEvent` Module ---------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.McaCustomEvent :members: :undoc-members: :show-inheritance: :mod:`McaSimpleFit` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.McaSimpleFit :members: :undoc-members: :show-inheritance: :mod:`McaWindow` Module ----------------------- .. automodule:: PyMca5.PyMcaGui.pymca.McaWindow :members: :undoc-members: :show-inheritance: :mod:`Median2DBrowser` Module ----------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.Median2DBrowser :members: :undoc-members: :show-inheritance: :mod:`PyMcaBatch` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.pymca.PyMcaBatch :members: :undoc-members: :show-inheritance: :mod:`PyMcaFileDialogs` Module ------------------------------ .. automodule:: PyMca5.PyMcaGui.pymca.PyMcaFileDialogs :members: :undoc-members: :show-inheritance: :mod:`PyMcaGLWindow` Module --------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.PyMcaGLWindow :members: :undoc-members: :show-inheritance: :mod:`PyMcaHKLImageWindow` Module --------------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.PyMcaHKLImageWindow :members: :undoc-members: :show-inheritance: :mod:`PyMcaImageWindow` Module ------------------------------ .. automodule:: PyMca5.PyMcaGui.pymca.PyMcaImageWindow :members: :undoc-members: :show-inheritance: :mod:`PyMcaMain` Module ----------------------- .. automodule:: PyMca5.PyMcaGui.pymca.PyMcaMain :members: :undoc-members: :show-inheritance: :mod:`PyMcaMdi` Module ---------------------- .. automodule:: PyMca5.PyMcaGui.pymca.PyMcaMdi :members: :undoc-members: :show-inheritance: :mod:`PyMcaNexusWidget` Module ------------------------------ .. automodule:: PyMca5.PyMcaGui.pymca.PyMcaNexusWidget :members: :undoc-members: :show-inheritance: :mod:`PyMcaPostBatch` Module ---------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.PyMcaPostBatch :members: :undoc-members: :show-inheritance: :mod:`PyMca_help` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.pymca.PyMca_help :members: :undoc-members: :show-inheritance: :mod:`QDataSource` Module ------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.QDataSource :members: :undoc-members: :show-inheritance: :mod:`QDispatcher` Module ------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.QDispatcher :members: :undoc-members: :show-inheritance: :mod:`QHDF5Stack1D` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.QHDF5Stack1D :members: :undoc-members: :show-inheritance: :mod:`QHDF5StackWizard` Module ------------------------------ .. automodule:: PyMca5.PyMcaGui.pymca.QHDF5StackWizard :members: :undoc-members: :show-inheritance: :mod:`QPyMcaMatplotlibSave` Module ---------------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.QPyMcaMatplotlibSave :members: :undoc-members: :show-inheritance: :mod:`QPyMcaMatplotlibSave1D` Module ------------------------------------ .. automodule:: PyMca5.PyMcaGui.pymca.QPyMcaMatplotlibSave1D :members: :undoc-members: :show-inheritance: :mod:`QSource` Module --------------------- .. automodule:: PyMca5.PyMcaGui.pymca.QSource :members: :undoc-members: :show-inheritance: :mod:`QSpsDataSource` Module ---------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.QSpsDataSource :members: :undoc-members: :show-inheritance: :mod:`QStack` Module -------------------- .. automodule:: PyMca5.PyMcaGui.pymca.QStack :members: :undoc-members: :show-inheritance: :mod:`QStackWidget` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.QStackWidget :members: :undoc-members: :show-inheritance: :mod:`RGBCorrelator` Module --------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.RGBCorrelator :members: :undoc-members: :show-inheritance: :mod:`RGBCorrelatorSlider` Module --------------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.RGBCorrelatorSlider :members: :undoc-members: :show-inheritance: :mod:`RGBCorrelatorTable` Module -------------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.RGBCorrelatorTable :members: :undoc-members: :show-inheritance: :mod:`RGBCorrelatorWidget` Module --------------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.RGBCorrelatorWidget :members: :undoc-members: :show-inheritance: :mod:`RGBImageCalculator` Module -------------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.RGBImageCalculator :members: :undoc-members: :show-inheritance: :mod:`ScanFit` Module --------------------- .. automodule:: PyMca5.PyMcaGui.pymca.ScanFit :members: :undoc-members: :show-inheritance: :mod:`ScanWindow` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.pymca.ScanWindow :members: :undoc-members: :show-inheritance: :mod:`ScanWindowInfoWidget` Module ---------------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.ScanWindowInfoWidget :members: :undoc-members: :show-inheritance: :mod:`StackBrowser` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.StackBrowser :members: :undoc-members: :show-inheritance: :mod:`StackPluginResultsWindow` Module -------------------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.StackPluginResultsWindow :members: :undoc-members: :show-inheritance: :mod:`StackROIWindow` Module ---------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.StackROIWindow :members: :undoc-members: :show-inheritance: :mod:`StackSelector` Module --------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.StackSelector :members: :undoc-members: :show-inheritance: :mod:`StackSimpleFitWindow` Module ---------------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.StackSimpleFitWindow :members: :undoc-members: :show-inheritance: :mod:`SumRulesTool` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.pymca.SumRulesTool :members: :undoc-members: :show-inheritance: :mod:`XMCDWindow` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.pymca.XMCDWindow :members: :undoc-members: :show-inheritance: :mod:`XiaCorrectWizard` Module ------------------------------ .. automodule:: PyMca5.PyMcaGui.pymca.XiaCorrectWizard :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.tests.rst0000644000276300001750000000324413136054446017772 0ustar solebliss00000000000000tests Package ============= :mod:`tests` Package -------------------- .. automodule:: PyMca5.tests :members: :undoc-members: :show-inheritance: :mod:`ConfigDictTest` Module ---------------------------- .. automodule:: PyMca5.tests.ConfigDictTest :members: :undoc-members: :show-inheritance: :mod:`DataTest` Module ---------------------- .. automodule:: PyMca5.tests.DataTest :members: :undoc-members: :show-inheritance: :mod:`EdfFileTest` Module ------------------------- .. automodule:: PyMca5.tests.EdfFileTest :members: :undoc-members: :show-inheritance: :mod:`ElementsTest` Module -------------------------- .. automodule:: PyMca5.tests.ElementsTest :members: :undoc-members: :show-inheritance: :mod:`GefitTest` Module ----------------------- .. automodule:: PyMca5.tests.GefitTest :members: :undoc-members: :show-inheritance: :mod:`PCAToolsTest` Module -------------------------- .. automodule:: PyMca5.tests.PCAToolsTest :members: :undoc-members: :show-inheritance: :mod:`SpecfileTest` Module -------------------------- .. automodule:: PyMca5.tests.SpecfileTest :members: :undoc-members: :show-inheritance: :mod:`StackBaseTest` Module --------------------------- .. automodule:: PyMca5.tests.StackBaseTest :members: :undoc-members: :show-inheritance: :mod:`TestAll` Module --------------------- .. automodule:: PyMca5.tests.TestAll :members: :undoc-members: :show-inheritance: :mod:`specfilewrapperTest` Module --------------------------------- .. automodule:: PyMca5.tests.specfilewrapperTest :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaGui.math.rst0000644000276300001750000000306113136054446021233 0ustar solebliss00000000000000math Package ============ :mod:`FFTAlignmentWindow` Module -------------------------------- .. automodule:: PyMca5.PyMcaGui.math.FFTAlignmentWindow :members: :undoc-members: :show-inheritance: :mod:`NNMADialog` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.math.NNMADialog :members: :undoc-members: :show-inheritance: :mod:`NNMAWindow` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.math.NNMAWindow :members: :undoc-members: :show-inheritance: :mod:`PCADialog` Module ----------------------- .. automodule:: PyMca5.PyMcaGui.math.PCADialog :members: :undoc-members: :show-inheritance: :mod:`PCAWindow` Module ----------------------- .. automodule:: PyMca5.PyMcaGui.math.PCAWindow :members: :undoc-members: :show-inheritance: :mod:`SGWindow` Module ---------------------- .. automodule:: PyMca5.PyMcaGui.math.SGWindow :members: :undoc-members: :show-inheritance: :mod:`SIFTAlignmentWindow` Module --------------------------------- .. automodule:: PyMca5.PyMcaGui.math.SIFTAlignmentWindow :members: :undoc-members: :show-inheritance: :mod:`SNIPWindow` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.math.SNIPWindow :members: :undoc-members: :show-inheritance: :mod:`StripBackgroundWidget` Module ----------------------------------- .. automodule:: PyMca5.PyMcaGui.math.StripBackgroundWidget :members: :undoc-members: :show-inheritance: Subpackages ----------- .. toctree:: PyMca5.PyMcaGui.math.fitting PyMca5-5.2.2/doc/source/modules.rst0000644000276300001750000000006713136054446017203 0ustar solebliss00000000000000PyMca5 ====== .. toctree:: :maxdepth: 4 PyMca5 PyMca5-5.2.2/doc/source/PyMca5.PyMcaGraph.backends.rst0000644000276300001750000000110013136054446022361 0ustar solebliss00000000000000backends Package ================ :mod:`MatplotlibBackend` Module ------------------------------- .. automodule:: PyMca5.PyMcaGraph.backends.MatplotlibBackend :members: :undoc-members: :show-inheritance: :mod:`OpenGLBackend` Module ------------------------------- .. automodule:: PyMca5.PyMcaGraph.backends.OpenGLBackend :members: :undoc-members: :show-inheritance: :mod:`PyQtGraphBackend` Module ------------------------------ .. automodule:: PyMca5.PyMcaGraph.backends.PyQtGraphBackend :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMca.rst0000644000276300001750000000023713136054446017640 0ustar solebliss00000000000000PyMca Package ============= :mod:`PyMca` Package -------------------- .. automodule:: PyMca5.PyMca :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaGui.math.fitting.rst0000644000276300001750000000537613136054446022711 0ustar solebliss00000000000000fitting Package =============== :mod:`CheckField` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.math.fitting.CheckField :members: :undoc-members: :show-inheritance: :mod:`EntryField` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.math.fitting.EntryField :members: :undoc-members: :show-inheritance: :mod:`FitActionsGui` Module --------------------------- .. automodule:: PyMca5.PyMcaGui.math.fitting.FitActionsGui :members: :undoc-members: :show-inheritance: :mod:`FitConfigGui` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.math.fitting.FitConfigGui :members: :undoc-members: :show-inheritance: :mod:`FitStatusGui` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.math.fitting.FitStatusGui :members: :undoc-members: :show-inheritance: :mod:`McaTable` Module ---------------------- .. automodule:: PyMca5.PyMcaGui.math.fitting.McaTable :members: :undoc-members: :show-inheritance: :mod:`MultiParameters` Module ----------------------------- .. automodule:: PyMca5.PyMcaGui.math.fitting.MultiParameters :members: :undoc-members: :show-inheritance: :mod:`Parameters` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.math.fitting.Parameters :members: :undoc-members: :show-inheritance: :mod:`QScriptOption` Module --------------------------- .. automodule:: PyMca5.PyMcaGui.math.fitting.QScriptOption :members: :undoc-members: :show-inheritance: :mod:`SimpleFitBatchGui` Module ------------------------------- .. automodule:: PyMca5.PyMcaGui.math.fitting.SimpleFitBatchGui :members: :undoc-members: :show-inheritance: :mod:`SimpleFitConfigurationGui` Module --------------------------------------- .. automodule:: PyMca5.PyMcaGui.math.fitting.SimpleFitConfigurationGui :members: :undoc-members: :show-inheritance: :mod:`SimpleFitControlWidget` Module ------------------------------------ .. automodule:: PyMca5.PyMcaGui.math.fitting.SimpleFitControlWidget :members: :undoc-members: :show-inheritance: :mod:`SimpleFitGui` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.math.fitting.SimpleFitGui :members: :undoc-members: :show-inheritance: :mod:`SpecfitGui` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.math.fitting.SpecfitGui :members: :undoc-members: :show-inheritance: :mod:`TabSheets` Module ----------------------- .. automodule:: PyMca5.PyMcaGui.math.fitting.TabSheets :members: :undoc-members: :show-inheritance: :mod:`TextField` Module ----------------------- .. automodule:: PyMca5.PyMcaGui.math.fitting.TextField :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaMath.fitting.rst0000644000276300001750000000207313136054446022115 0ustar solebliss00000000000000fitting Package =============== :mod:`Gefit` Module ------------------- .. automodule:: PyMca5.PyMcaMath.fitting.Gefit :members: :undoc-members: :show-inheritance: :mod:`SimpleFitModule` Module ----------------------------- .. automodule:: PyMca5.PyMcaMath.fitting.SimpleFitModule :members: :undoc-members: :show-inheritance: :mod:`SimpleFitUserEstimatedFunctions` Module --------------------------------------------- .. automodule:: PyMca5.PyMcaMath.fitting.SimpleFitUserEstimatedFunctions :members: :undoc-members: :show-inheritance: :mod:`Specfit` Module --------------------- .. automodule:: PyMca5.PyMcaMath.fitting.Specfit :members: :undoc-members: :show-inheritance: :mod:`SpecfitFunctions` Module ------------------------------ .. automodule:: PyMca5.PyMcaMath.fitting.SpecfitFunctions :members: :undoc-members: :show-inheritance: :mod:`StackSimpleFit` Module ---------------------------- .. automodule:: PyMca5.PyMcaMath.fitting.StackSimpleFit :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaGui.physics.rst0000644000276300001750000000045113136054446021764 0ustar solebliss00000000000000physics Package =============== :mod:`physics` Package ---------------------- .. automodule:: PyMca5.PyMcaGui.physics :members: :undoc-members: :show-inheritance: Subpackages ----------- .. toctree:: PyMca5.PyMcaGui.physics.xas .. toctree:: PyMca5.PyMcaGui.physics.xrf PyMca5-5.2.2/doc/source/PyMca5.PyMcaGui.plotting.rst0000644000276300001750000000445613136054446022153 0ustar solebliss00000000000000plotting Package ================ :mod:`ColormapDialog` Module ---------------------------- .. automodule:: PyMca5.PyMcaGui.plotting.ColormapDialog :members: :undoc-members: :show-inheritance: :mod:`LegendSelector` Module ---------------------------- .. automodule:: PyMca5.PyMcaGui.plotting.LegendSelector :members: :undoc-members: :show-inheritance: :mod:`MaskImageWidget` Module ----------------------------- .. automodule:: PyMca5.PyMcaGui.plotting.MaskImageWidget :members: :undoc-members: :show-inheritance: :mod:`McaROIWidget` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.plotting.McaROIWidget :members: :undoc-members: :show-inheritance: :mod:`ObjectPrintConfigurationDialog` Module -------------------------------------------- .. automodule:: PyMca5.PyMcaGui.plotting.ObjectPrintConfigurationDialog :members: :undoc-members: :show-inheritance: :mod:`PlotWidget` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.plotting.PlotWidget :members: :undoc-members: :show-inheritance: :mod:`PlotWindow` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.plotting.PlotWindow :members: :undoc-members: :show-inheritance: :mod:`ProfileScanWidget` Module ------------------------------- .. automodule:: PyMca5.PyMcaGui.plotting.ProfileScanWidget :members: :undoc-members: :show-inheritance: :mod:`PyMcaPrintPreview` Module ------------------------------- .. automodule:: PyMca5.PyMcaGui.plotting.PyMcaPrintPreview :members: :undoc-members: :show-inheritance: :mod:`PyMca_Icons` Module ------------------------- .. automodule:: PyMca5.PyMcaGui.plotting.PyMca_Icons :members: :undoc-members: :show-inheritance: :mod:`Q4PyMcaPrintPreview` Module --------------------------------- .. automodule:: PyMca5.PyMcaGui.plotting.Q4PyMcaPrintPreview :members: :undoc-members: :show-inheritance: :mod:`RGBCorrelatorGraph` Module -------------------------------- .. automodule:: PyMca5.PyMcaGui.plotting.RGBCorrelatorGraph :members: :undoc-members: :show-inheritance: :mod:`RenameCurveDialog` Module ------------------------------- .. automodule:: PyMca5.PyMcaGui.plotting.RenameCurveDialog :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.Object3D.Object3DPlugins.rst0000644000276300001750000000166213136054446023165 0ustar solebliss00000000000000Object3DPlugins Package ======================= :mod:`ChimeraStack` Module -------------------------- .. automodule:: PyMca5.Object3D.Object3DPlugins.ChimeraStack :members: :undoc-members: :show-inheritance: :mod:`Object3DMesh` Module -------------------------- .. automodule:: PyMca5.Object3D.Object3DPlugins.Object3DMesh :members: :undoc-members: :show-inheritance: :mod:`Object3DMeshConfig` Module -------------------------------- .. automodule:: PyMca5.Object3D.Object3DPlugins.Object3DMeshConfig :members: :undoc-members: :show-inheritance: :mod:`Object3DPixmap` Module ---------------------------- .. automodule:: PyMca5.Object3D.Object3DPlugins.Object3DPixmap :members: :undoc-members: :show-inheritance: :mod:`Object3DStack` Module --------------------------- .. automodule:: PyMca5.Object3D.Object3DPlugins.Object3DStack :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/index.rst0000644000276300001750000000465113136054446016645 0ustar solebliss00000000000000.. PyMca5 documentation master file, created by sphinx-quickstart on Mon Dec 9 19:27:24 2013. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to PyMca's documentation! ================================= Contents: .. toctree:: :maxdepth: 2 modules PyMca ===== PyMca is a collection of Python tools to assist on common data analysis problems. When first released (in 2004), its main motivation was X-Ray Fluorescence (XRF) Analysis, field for which is among the most complete solutions available. Synchotron radiation XRF is closely associated to microscopy. To properly achieve its objectives, PyMca had to incorporate more than just 1D visualization and XRF spectrum modelling. PyMca has evolved into a library and set of tools to provide close-to-the-source data visualization and diagnostic capabilities. Features -------- - State-of-the-art X-Ray Fluorescence Analysis (Quantification, Mapping, ...) - Support of multiple data formats - 1D, 2D, 3D and 4D imaging capabilities - Extendible via plugins. - Large dataset imaging (XRF, Powder diffraction, XAS, FT-IR, Raman, ...) - Multivariate analysis. - Common data reduction operation (normalization, fitting, ...) Installation ------------ It can be installed from source via the usual "python setup.py install" approach (see the README file associated to the source code for details). Official releases and ready-to-use binaries can be downloaded from http://www.sourceforge.net/projects/pymca Contribute ---------- - Issue Tracker: github.com/vasole/pymca/issues - Source Code: github.com/vasole/pymca Support ------- If you are having issues, please let us know. The associated mailing list is: pymca-users@lists.sourceforge.net Subscription URL: http://sourceforge.net/p/pymca/mailman/pymca-users/ License ------- PyMca itself is licensed under the MIT license. Please note that if you use the provided graphical user interfaces (GUI) or other libraries not supplied with PyMca, you can be conditioned by their licenses. For instance, if you use PySide (LGPL license) as widget library, you can safely use PyMca even in close source projects. If you use PyQt (GPL license or commercial license) instead of PySide, you will not be able PyMca in closed source projects unless you own a commercial license of PyQt. Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search` PyMca5-5.2.2/doc/source/PyMca5.PyMcaIO.rst0000644000276300001750000001065613136054446020076 0ustar solebliss00000000000000PyMcaIO Package =============== :mod:`APSMEDFileParser` Module ------------------------------ .. automodule:: PyMca5.PyMcaIO.APSMEDFileParser :members: :undoc-members: :show-inheritance: :mod:`AifiraMap` Module ----------------------- .. automodule:: PyMca5.PyMcaIO.AifiraMap :members: :undoc-members: :show-inheritance: :mod:`ArraySave` Module ----------------------- .. automodule:: PyMca5.PyMcaIO.ArraySave :members: :undoc-members: :show-inheritance: :mod:`BAXSCSVFileParser` Module ------------------------------- .. automodule:: PyMca5.PyMcaIO.BAXSCSVFileParser :members: :undoc-members: :show-inheritance: :mod:`ConfigDict` Module ------------------------ .. automodule:: PyMca5.PyMcaIO.ConfigDict :members: :undoc-members: :show-inheritance: :mod:`EDFStack` Module ---------------------- .. automodule:: PyMca5.PyMcaIO.EDFStack :members: :undoc-members: :show-inheritance: :mod:`EdfFile` Module --------------------- .. automodule:: PyMca5.PyMcaIO.EdfFile :members: :undoc-members: :show-inheritance: :mod:`Fit2DChiFileParser` Module -------------------------------- .. automodule:: PyMca5.PyMcaIO.Fit2DChiFileParser :members: :undoc-members: :show-inheritance: :mod:`HDF5Stack1D` Module ------------------------- .. automodule:: PyMca5.PyMcaIO.HDF5Stack1D :members: :undoc-members: :show-inheritance: :mod:`LuciaMap` Module ---------------------- .. automodule:: PyMca5.PyMcaIO.LuciaMap :members: :undoc-members: :show-inheritance: :mod:`MEDFile` Module --------------------- .. automodule:: PyMca5.PyMcaIO.MEDFile :members: :undoc-members: :show-inheritance: :mod:`MRCMap` Module -------------------- .. automodule:: PyMca5.PyMcaIO.MRCMap :members: :undoc-members: :show-inheritance: :mod:`MarCCD` Module -------------------- .. automodule:: PyMca5.PyMcaIO.MarCCD :members: :undoc-members: :show-inheritance: :mod:`OlympusCSVFileParser` Module ---------------------------------- .. automodule:: PyMca5.PyMcaIO.OlympusCSVFileParser :members: :undoc-members: :show-inheritance: :mod:`OmnicMap` Module ---------------------- .. automodule:: PyMca5.PyMcaIO.OmnicMap :members: :undoc-members: :show-inheritance: :mod:`OpusDPTMap` Module ------------------------ .. automodule:: PyMca5.PyMcaIO.OpusDPTMap :members: :undoc-members: :show-inheritance: :mod:`PilatusCBF` Module ------------------------ .. automodule:: PyMca5.PyMcaIO.PilatusCBF :members: :undoc-members: :show-inheritance: :mod:`RTXMap` Module -------------------- .. automodule:: PyMca5.PyMcaIO.RTXMap :members: :undoc-members: :show-inheritance: :mod:`SPXFileParser` Module --------------------------- .. automodule:: PyMca5.PyMcaIO.SPXFileParser :members: :undoc-members: :show-inheritance: :mod:`SRSFileParser` Module --------------------------- .. automodule:: PyMca5.PyMcaIO.SRSFileParser :members: :undoc-members: :show-inheritance: :mod:`SpecFileAbstractClass` Module ----------------------------------- .. automodule:: PyMca5.PyMcaIO.SpecFileAbstractClass :members: :undoc-members: :show-inheritance: :mod:`SpecFileStack` Module --------------------------- .. automodule:: PyMca5.PyMcaIO.SpecFileStack :members: :undoc-members: :show-inheritance: :mod:`SupaVisioMap` Module -------------------------- .. automodule:: PyMca5.PyMcaIO.SupaVisioMap :members: :undoc-members: :show-inheritance: :mod:`TextImageStack` Module ---------------------------- .. automodule:: PyMca5.PyMcaIO.TextImageStack :members: :undoc-members: :show-inheritance: :mod:`ThermoEMSFileParser` Module --------------------------------- .. automodule:: PyMca5.PyMcaIO.ThermoEMSFileParser :members: :undoc-members: :show-inheritance: :mod:`TiffIO` Module -------------------- .. automodule:: PyMca5.PyMcaIO.TiffIO :members: :undoc-members: :show-inheritance: :mod:`TiffStack` Module ----------------------- .. automodule:: PyMca5.PyMcaIO.TiffStack :members: :undoc-members: :show-inheritance: :mod:`specfilewrapper` Module ----------------------------- .. automodule:: PyMca5.PyMcaIO.specfilewrapper :members: :undoc-members: :show-inheritance: :mod:`spswrap` Module --------------------- .. automodule:: PyMca5.PyMcaIO.spswrap :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaGui.rst0000644000276300001750000000100113136054446020273 0ustar solebliss00000000000000PyMcaGui Package ================ :mod:`PyMcaGui` Package ----------------------- .. automodule:: PyMca5.PyMcaGui :members: :undoc-members: :show-inheritance: :mod:`PyMcaQt` Module --------------------- .. automodule:: PyMca5.PyMcaGui.PyMcaQt :members: :undoc-members: :show-inheritance: Subpackages ----------- .. toctree:: PyMca5.PyMcaGui.io PyMca5.PyMcaGui.math PyMca5.PyMcaGui.misc PyMca5.PyMcaGui.physics PyMca5.PyMcaGui.plotting PyMca5.PyMcaGui.pymca PyMca5-5.2.2/doc/source/PyMca5.PyMcaMath.rst0000644000276300001750000000236013136054446020451 0ustar solebliss00000000000000PyMcaMath Package ================= :mod:`PyMcaMath` Package ------------------------ .. automodule:: PyMca5.PyMcaMath :members: :undoc-members: :show-inheritance: :mod:`ImageRegistration` Module ------------------------------- .. automodule:: PyMca5.PyMcaMath.ImageRegistration :members: :undoc-members: :show-inheritance: :mod:`SGModule` Module ---------------------- .. automodule:: PyMca5.PyMcaMath.SGModule :members: :undoc-members: :show-inheritance: :mod:`SNIPModule` Module ------------------------ .. automodule:: PyMca5.PyMcaMath.SNIPModule :members: :undoc-members: :show-inheritance: :mod:`SimpleMath` Module ------------------------ .. automodule:: PyMca5.PyMcaMath.SimpleMath :members: :undoc-members: :show-inheritance: :mod:`SpecArithmetic` Module ---------------------------- .. automodule:: PyMca5.PyMcaMath.SpecArithmetic :members: :undoc-members: :show-inheritance: :mod:`linalg` Module -------------------- .. automodule:: PyMca5.PyMcaMath.linalg :members: :undoc-members: :show-inheritance: Subpackages ----------- .. toctree:: PyMca5.PyMcaMath.PyMcaSciPy PyMca5.PyMcaMath.fitting PyMca5.PyMcaMath.mva PyMca5.PyMcaMath.sift PyMca5-5.2.2/doc/source/PyMca5.PyMcaGui.io.hdf5.rst0000644000276300001750000000200613136054446021534 0ustar solebliss00000000000000hdf5 Package ============ :mod:`HDF5CounterTable` Module ------------------------------ .. automodule:: PyMca5.PyMcaGui.io.hdf5.HDF5CounterTable :members: :undoc-members: :show-inheritance: :mod:`HDF5DatasetView` Module ------------------------------ .. automodule:: PyMca5.PyMcaGui.io.hdf5.HDF5DatasetView :members: :undoc-members: :show-inheritance: :mod:`HDF5Info` Module ---------------------- .. automodule:: PyMca5.PyMcaGui.io.hdf5.HDF5Info :members: :undoc-members: :show-inheritance: :mod:`HDF5Selection` Module --------------------------- .. automodule:: PyMca5.PyMcaGui.io.hdf5.HDF5Selection :members: :undoc-members: :show-inheritance: :mod:`HDF5Widget` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.io.hdf5.HDF5Widget :members: :undoc-members: :show-inheritance: :mod:`QNexusWidget` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.io.hdf5.QNexusWidget :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaGui.misc.rst0000644000276300001750000000343613136054446021243 0ustar solebliss00000000000000misc Package ============ :mod:`CalculationThread` Module ------------------------------- .. automodule:: PyMca5.PyMcaGui.misc.CalculationThread :members: :undoc-members: :show-inheritance: :mod:`CalculationTimer` Module ------------------------------ .. automodule:: PyMca5.PyMcaGui.misc.CalculationTimer :members: :undoc-members: :show-inheritance: :mod:`CloseEventNotifyingWidget` Module --------------------------------------- .. automodule:: PyMca5.PyMcaGui.misc.CloseEventNotifyingWidget :members: :undoc-members: :show-inheritance: :mod:`DoubleSlider` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.misc.DoubleSlider :members: :undoc-members: :show-inheritance: :mod:`FrameBrowser` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.misc.FrameBrowser :members: :undoc-members: :show-inheritance: :mod:`NumpyArrayTableModel` Module ---------------------------------- .. automodule:: PyMca5.PyMcaGui.misc.NumpyArrayTableModel :members: :undoc-members: :show-inheritance: :mod:`NumpyArrayTableView` Module --------------------------------- .. automodule:: PyMca5.PyMcaGui.misc.NumpyArrayTableView :members: :undoc-members: :show-inheritance: :mod:`NumpyArrayTableWidget` Module ----------------------------------- .. automodule:: PyMca5.PyMcaGui.misc.NumpyArrayTableWidget :members: :undoc-members: :show-inheritance: :mod:`QIPythonWidget` Module ---------------------------- .. automodule:: PyMca5.PyMcaGui.misc.QIPythonWidget :members: :undoc-members: :show-inheritance: :mod:`SubprocessLogWidget` Module --------------------------------- .. automodule:: PyMca5.PyMcaGui.misc.SubprocessLogWidget :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.rst0000644000276300001750000000112713136054446016627 0ustar solebliss00000000000000PyMca5 Package ============== :mod:`PyMca5` Package --------------------- .. automodule:: PyMca5.__init__ :members: :undoc-members: :show-inheritance: :mod:`PyMcaDataDir` Module -------------------------- .. automodule:: PyMca5.PyMcaDataDir :members: :undoc-members: :show-inheritance: Subpackages ----------- .. toctree:: PyMca5.EPDL97 PyMca5.Object3D PyMca5.PyMca PyMca5.PyMcaCore PyMca5.PyMcaGraph PyMca5.PyMcaGui PyMca5.PyMcaIO PyMca5.PyMcaMath PyMca5.PyMcaMisc PyMca5.PyMcaPhysics PyMca5.PyMcaPlugins PyMca5.tests PyMca5-5.2.2/doc/source/PyMca5.Object3D.rst0000644000276300001750000001215413136054446020225 0ustar solebliss00000000000000Object3D Package ================ :mod:`Object3D` Package ----------------------- .. automodule:: PyMca5.Object3D :members: :undoc-members: :show-inheritance: :mod:`ClippingPlaneConfiguration` Module ---------------------------------------- .. automodule:: PyMca5.Object3D.ClippingPlaneConfiguration :members: :undoc-members: :show-inheritance: :mod:`GLToolBar` Module ----------------------- .. automodule:: PyMca5.Object3D.GLToolBar :members: :undoc-members: :show-inheritance: :mod:`GLWidgetCachePixmap` Module --------------------------------- .. automodule:: PyMca5.Object3D.GLWidgetCachePixmap :members: :undoc-members: :show-inheritance: :mod:`HorizontalSpacer` Module ------------------------------ .. automodule:: PyMca5.Object3D.HorizontalSpacer :members: :undoc-members: :show-inheritance: :mod:`Object3DBase` Module -------------------------- .. automodule:: PyMca5.Object3D.Object3DBase :members: :undoc-members: :show-inheritance: :mod:`Object3DColormap` Module ------------------------------ .. automodule:: PyMca5.Object3D.Object3DColormap :members: :undoc-members: :show-inheritance: :mod:`Object3DConfig` Module ---------------------------- .. automodule:: PyMca5.Object3D.Object3DConfig :members: :undoc-members: :show-inheritance: :mod:`Object3DCoordinates` Module --------------------------------- .. automodule:: PyMca5.Object3D.Object3DCoordinates :members: :undoc-members: :show-inheritance: :mod:`Object3DDirs` Module -------------------------- .. automodule:: PyMca5.Object3D.Object3DDirs :members: :undoc-members: :show-inheritance: :mod:`Object3DFileDialogs` Module --------------------------------- .. automodule:: PyMca5.Object3D.Object3DFileDialogs :members: :undoc-members: :show-inheritance: :mod:`Object3DIcons` Module --------------------------- .. automodule:: PyMca5.Object3D.Object3DIcons :members: :undoc-members: :show-inheritance: :mod:`Object3DMovement` Module ------------------------------ .. automodule:: PyMca5.Object3D.Object3DMovement :members: :undoc-members: :show-inheritance: :mod:`Object3DPrintPreview` Module ---------------------------------- .. automodule:: PyMca5.Object3D.Object3DPrintPreview :members: :undoc-members: :show-inheritance: :mod:`Object3DPrivateConfig` Module ----------------------------------- .. automodule:: PyMca5.Object3D.Object3DPrivateConfig :members: :undoc-members: :show-inheritance: :mod:`Object3DProperties` Module -------------------------------- .. automodule:: PyMca5.Object3D.Object3DProperties :members: :undoc-members: :show-inheritance: :mod:`Object3DQt` Module ------------------------ .. automodule:: PyMca5.Object3D.Object3DQt :members: :undoc-members: :show-inheritance: :mod:`Object3DRedBookFont` Module --------------------------------- .. automodule:: PyMca5.Object3D.Object3DRedBookFont :members: :undoc-members: :show-inheritance: :mod:`Object3DScene` Module --------------------------- .. automodule:: PyMca5.Object3D.Object3DScene :members: :undoc-members: :show-inheritance: :mod:`Object3DSlider` Module ---------------------------- .. automodule:: PyMca5.Object3D.Object3DSlider :members: :undoc-members: :show-inheritance: :mod:`ObjectTree` Module ------------------------ .. automodule:: PyMca5.Object3D.ObjectTree :members: :undoc-members: :show-inheritance: :mod:`PrivateConfigTools` Module -------------------------------- .. automodule:: PyMca5.Object3D.PrivateConfigTools :members: :undoc-members: :show-inheritance: :mod:`Scene` Module ------------------- .. automodule:: PyMca5.Object3D.Scene :members: :undoc-members: :show-inheritance: :mod:`SceneControl` Module -------------------------- .. automodule:: PyMca5.Object3D.SceneControl :members: :undoc-members: :show-inheritance: :mod:`SceneCoordinates` Module ------------------------------ .. automodule:: PyMca5.Object3D.SceneCoordinates :members: :undoc-members: :show-inheritance: :mod:`SceneGLWidget` Module --------------------------- .. automodule:: PyMca5.Object3D.SceneGLWidget :members: :undoc-members: :show-inheritance: :mod:`SceneGLWindow` Module --------------------------- .. automodule:: PyMca5.Object3D.SceneGLWindow :members: :undoc-members: :show-inheritance: :mod:`SceneManager` Module -------------------------- .. automodule:: PyMca5.Object3D.SceneManager :members: :undoc-members: :show-inheritance: :mod:`SceneTree` Module ----------------------- .. automodule:: PyMca5.Object3D.SceneTree :members: :undoc-members: :show-inheritance: :mod:`SceneWidget` Module ------------------------- .. automodule:: PyMca5.Object3D.SceneWidget :members: :undoc-members: :show-inheritance: :mod:`VerticalSpacer` Module ---------------------------- .. automodule:: PyMca5.Object3D.VerticalSpacer :members: :undoc-members: :show-inheritance: Subpackages ----------- .. toctree:: PyMca5.Object3D.Object3DPlugins PyMca5-5.2.2/doc/source/PyMca5.EPDL97.rst0000644000276300001750000000353013136054446017532 0ustar solebliss00000000000000EPDL97 Package ============== :mod:`EPDL97` Package --------------------- .. automodule:: PyMca5.EPDL97 :members: :undoc-members: :show-inheritance: :mod:`EADLParser` Module ------------------------ .. automodule:: PyMca5.EPDL97.EADLParser :members: :undoc-members: :show-inheritance: :mod:`EADLSubshells` Module --------------------------- .. automodule:: PyMca5.EPDL97.EADLSubshells :members: :undoc-members: :show-inheritance: :mod:`EPDL97Parser` Module -------------------------- .. automodule:: PyMca5.EPDL97.EPDL97Parser :members: :undoc-members: :show-inheritance: :mod:`GenerateEADLBindingEnergies` Module ----------------------------------------- .. automodule:: PyMca5.EPDL97.GenerateEADLBindingEnergies :members: :undoc-members: :show-inheritance: :mod:`GenerateEADLShellConstants` Module ---------------------------------------- .. automodule:: PyMca5.EPDL97.GenerateEADLShellConstants :members: :undoc-members: :show-inheritance: :mod:`GenerateEADLShellNonradiativeRates` Module ------------------------------------------------ .. automodule:: PyMca5.EPDL97.GenerateEADLShellNonradiativeRates :members: :undoc-members: :show-inheritance: :mod:`GenerateEADLShellRadiativeRates` Module --------------------------------------------- .. automodule:: PyMca5.EPDL97.GenerateEADLShellRadiativeRates :members: :undoc-members: :show-inheritance: :mod:`GenerateEPDL97CrossSections` Module ----------------------------------------- .. automodule:: PyMca5.EPDL97.GenerateEPDL97CrossSections :members: :undoc-members: :show-inheritance: :mod:`GenerateEPDL97TotalCrossSections` Module ---------------------------------------------- .. automodule:: PyMca5.EPDL97.GenerateEPDL97TotalCrossSections :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaCore.rst0000644000276300001750000000601513136054446020451 0ustar solebliss00000000000000PyMcaCore Package ================= :mod:`DataObject` Module ------------------------ .. automodule:: PyMca5.PyMcaCore.DataObject :members: :undoc-members: :show-inheritance: :mod:`EdfFileDataSource` Module ------------------------------- .. automodule:: PyMca5.PyMcaCore.EdfFileDataSource :members: :undoc-members: :show-inheritance: :mod:`EdfFileLayer` Module -------------------------- .. automodule:: PyMca5.PyMcaCore.EdfFileLayer :members: :undoc-members: :show-inheritance: :mod:`EventHandler` Module -------------------------- .. automodule:: PyMca5.PyMcaCore.EventHandler :members: :undoc-members: :show-inheritance: :mod:`HtmlIndex` Module ----------------------- .. automodule:: PyMca5.PyMcaCore.HtmlIndex :members: :undoc-members: :show-inheritance: :mod:`NexusDataSource` Module ----------------------------- .. automodule:: PyMca5.PyMcaCore.NexusDataSource :members: :undoc-members: :show-inheritance: :mod:`Plugin1DBase` Module -------------------------- .. automodule:: PyMca5.PyMcaCore.Plugin1DBase :members: :undoc-members: :show-inheritance: :mod:`PyMcaBatchBuildOutput` Module ----------------------------------- .. automodule:: PyMca5.PyMcaCore.PyMcaBatchBuildOutput :members: :undoc-members: :show-inheritance: :mod:`PyMcaDirs` Module ----------------------- .. automodule:: PyMca5.PyMcaCore.PyMcaDirs :members: :undoc-members: :show-inheritance: :mod:`PyMcaLogo` Module ----------------------- .. automodule:: PyMca5.PyMcaCore.PyMcaLogo :members: :undoc-members: :show-inheritance: :mod:`PyMcaMatplotlibSave` Module --------------------------------- .. automodule:: PyMca5.PyMcaCore.PyMcaMatplotlibSave :members: :undoc-members: :show-inheritance: :mod:`SPSLayer` Module ---------------------- .. automodule:: PyMca5.PyMcaCore.SPSLayer :members: :undoc-members: :show-inheritance: :mod:`SpecFileDataSource` Module -------------------------------- .. automodule:: PyMca5.PyMcaCore.SpecFileDataSource :members: :undoc-members: :show-inheritance: :mod:`SpecFileLayer` Module --------------------------- .. automodule:: PyMca5.PyMcaCore.SpecFileLayer :members: :undoc-members: :show-inheritance: :mod:`SpsDataSource` Module --------------------------- .. automodule:: PyMca5.PyMcaCore.SpsDataSource :members: :undoc-members: :show-inheritance: :mod:`StackBase` Module ----------------------- .. automodule:: PyMca5.PyMcaCore.StackBase :members: :undoc-members: :show-inheritance: :mod:`StackPluginBase` Module ----------------------------- .. automodule:: PyMca5.PyMcaCore.StackPluginBase :members: :undoc-members: :show-inheritance: :mod:`XiaCorrect` Module ------------------------ .. automodule:: PyMca5.PyMcaCore.XiaCorrect :members: :undoc-members: :show-inheritance: :mod:`XiaEdf` Module -------------------- .. automodule:: PyMca5.PyMcaCore.XiaEdf :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaMath.PyMcaSciPy.signal.rst0000644000276300001750000000053013136054446023702 0ustar solebliss00000000000000signal Package ============== :mod:`signal` Package --------------------- .. automodule:: PyMca5.PyMcaMath.PyMcaSciPy.signal :members: :undoc-members: :show-inheritance: :mod:`median` Module -------------------- .. automodule:: PyMca5.PyMcaMath.PyMcaSciPy.signal.median :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaGraph.ctools.rst0000644000276300001750000000025713136054446022126 0ustar solebliss00000000000000ctools Package ============== :mod:`ctools` Package --------------------- .. automodule:: PyMca5.PyMcaGraph.ctools :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaMisc.rst0000644000276300001750000000031213136054446020446 0ustar solebliss00000000000000PyMcaMisc Package ================= :mod:`PhysicalMemory` Module ---------------------------- .. automodule:: PyMca5.PyMcaMisc.PhysicalMemory :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaGui.physics.xrf.rst0000644000276300001750000000717213136054446022571 0ustar solebliss00000000000000xrf Package =========== :mod:`AttenuatorsTable` Module ------------------------------ .. automodule:: PyMca5.PyMcaGui.physics.xrf.AttenuatorsTable :members: :undoc-members: :show-inheritance: :mod:`ConcentrationsWidget` Module ---------------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.ConcentrationsWidget :members: :undoc-members: :show-inheritance: :mod:`ElementsInfo` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.ElementsInfo :members: :undoc-members: :show-inheritance: :mod:`EnergyTable` Module ------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.EnergyTable :members: :undoc-members: :show-inheritance: :mod:`FastXRFLinearFitWindow` Module ------------------------------------ .. automodule:: PyMca5.PyMcaGui.physics.xrf.FastXRFLinearFitWindow :members: :undoc-members: :show-inheritance: :mod:`FitParam` Module ---------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.FitParam :members: :undoc-members: :show-inheritance: :mod:`FitParamForm` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.FitParamForm :members: :undoc-members: :show-inheritance: :mod:`FitPeakSelect` Module --------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.FitPeakSelect :members: :undoc-members: :show-inheritance: :mod:`MaterialEditor` Module ---------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.MaterialEditor :members: :undoc-members: :show-inheritance: :mod:`MatrixEditor` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.MatrixEditor :members: :undoc-members: :show-inheritance: :mod:`MatrixImage` Module ------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.MatrixImage :members: :undoc-members: :show-inheritance: :mod:`McaAdvancedFit` Module ---------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.McaAdvancedFit :members: :undoc-members: :show-inheritance: :mod:`McaAdvancedTable` Module ------------------------------ .. automodule:: PyMca5.PyMcaGui.physics.xrf.McaAdvancedTable :members: :undoc-members: :show-inheritance: :mod:`McaCalWidget` Module -------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.McaCalWidget :members: :undoc-members: :show-inheritance: :mod:`PeakIdentifier` Module ---------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.PeakIdentifier :members: :undoc-members: :show-inheritance: :mod:`PeakTableWidget` Module ----------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.PeakTableWidget :members: :undoc-members: :show-inheritance: :mod:`QPeriodicTable` Module ---------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.QPeriodicTable :members: :undoc-members: :show-inheritance: :mod:`QXTube` Module -------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.QXTube :members: :undoc-members: :show-inheritance: :mod:`QtMcaAdvancedFitReport` Module ------------------------------------ .. automodule:: PyMca5.PyMcaGui.physics.xrf.QtMcaAdvancedFitReport :members: :undoc-members: :show-inheritance: :mod:`StrategyHandler` Module ----------------------------- .. automodule:: PyMca5.PyMcaGui.physics.xrf.StrategyHandler :members: :undoc-members: :show-inheritance: :mod:`XRFMCPyMca` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.physics.xrf.XRFMCPyMca :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaGui.io.rst0000644000276300001750000000304413136054446020712 0ustar solebliss00000000000000io Package ========== :mod:`io` Package ----------------- .. automodule:: PyMca5.PyMcaGui.io :members: :undoc-members: :show-inheritance: :mod:`QEdfFileWidget` Module ---------------------------- .. automodule:: PyMca5.PyMcaGui.io.QEdfFileWidget :members: :undoc-members: :show-inheritance: :mod:`QSelectorWidget` Module ----------------------------- .. automodule:: PyMca5.PyMcaGui.io.QSelectorWidget :members: :undoc-members: :show-inheritance: :mod:`QSourceSelector` Module ----------------------------- .. automodule:: PyMca5.PyMcaGui.io.QSourceSelector :members: :undoc-members: :show-inheritance: :mod:`QSpecFileWidget` Module ----------------------------- .. automodule:: PyMca5.PyMcaGui.io.QSpecFileWidget :members: :undoc-members: :show-inheritance: :mod:`QSpsWidget` Module ------------------------ .. automodule:: PyMca5.PyMcaGui.io.QSpsWidget :members: :undoc-members: :show-inheritance: :mod:`SpecFileCntTable` Module ------------------------------ .. automodule:: PyMca5.PyMcaGui.io.SpecFileCntTable :members: :undoc-members: :show-inheritance: :mod:`SpecFileDataInfo` Module ------------------------------ .. automodule:: PyMca5.PyMcaGui.io.SpecFileDataInfo :members: :undoc-members: :show-inheritance: :mod:`SpecFileMcaTable` Module ------------------------------ .. automodule:: PyMca5.PyMcaGui.io.SpecFileMcaTable :members: :undoc-members: :show-inheritance: Subpackages ----------- .. toctree:: PyMca5.PyMcaGui.io.hdf5 PyMca5-5.2.2/doc/source/PyMca5.PyMcaGraph.rst0000644000276300001750000000151113136054446020616 0ustar solebliss00000000000000PyMcaGraph Package ================== .. automodule:: PyMca5.PyMcaGraph.__init__ :members: :undoc-members: :show-inheritance: :mod:`Plot` Module ------------------ .. automodule:: PyMca5.PyMcaGraph.Plot :members: :undoc-members: :show-inheritance: :mod:`PlotBackend` Module ------------------------- .. automodule:: PyMca5.PyMcaGraph.PlotBackend :members: :undoc-members: :show-inheritance: :mod:`PlotBase` Module ---------------------- .. automodule:: PyMca5.PyMcaGraph.PlotBase :members: :undoc-members: :show-inheritance: :mod:`PluginLoader` Module -------------------------- .. automodule:: PyMca5.PyMcaGraph.PluginLoader :members: :undoc-members: :show-inheritance: Subpackages ----------- .. toctree:: PyMca5.PyMcaGraph.backends PyMca5.PyMcaGraph.ctools PyMca5-5.2.2/doc/source/PyMca5.PyMcaMath.mva.py_nnma.rst0000644000276300001750000000051313136054446022671 0ustar solebliss00000000000000py_nnma Package =============== :mod:`py_nnma` Package ---------------------- .. automodule:: PyMca5.PyMcaMath.mva.py_nnma :members: :undoc-members: :show-inheritance: :mod:`nnma` Module ------------------ .. automodule:: PyMca5.PyMcaMath.mva.py_nnma.nnma :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaPhysics.xrf.rst0000644000276300001750000000641113136054446022001 0ustar solebliss00000000000000xrf Package =========== :mod:`BindingEnergies` Module ----------------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.BindingEnergies :members: :undoc-members: :show-inheritance: :mod:`ClassMcaTheory` Module ---------------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.ClassMcaTheory :members: :undoc-members: :show-inheritance: :mod:`CoherentScattering` Module -------------------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.CoherentScattering :members: :undoc-members: :show-inheritance: :mod:`ConcentrationsTool` Module -------------------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.ConcentrationsTool :members: :undoc-members: :show-inheritance: :mod:`ElementHtml` Module ------------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.ElementHtml :members: :undoc-members: :show-inheritance: :mod:`Elements` Module ---------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.Elements :members: :undoc-members: :show-inheritance: :mod:`FastXRFLinearFit` Module ------------------------------ .. automodule:: PyMca5.PyMcaPhysics.xrf.FastXRFLinearFit :members: :undoc-members: :show-inheritance: :mod:`FisxHelper` Module ------------------------ .. automodule:: PyMca5.PyMcaPhysics.xrf.FisxHelper :members: :undoc-members: :show-inheritance: :mod:`GenerateXCOMCrossSections` Module --------------------------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.GenerateXCOMCrossSections :members: :undoc-members: :show-inheritance: :mod:`IncoherentScattering` Module ---------------------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.IncoherentScattering :members: :undoc-members: :show-inheritance: :mod:`KShell` Module -------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.KShell :members: :undoc-members: :show-inheritance: :mod:`LShell` Module -------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.LShell :members: :undoc-members: :show-inheritance: :mod:`MShell` Module -------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.MShell :members: :undoc-members: :show-inheritance: :mod:`McaAdvancedFitBatch` Module --------------------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.McaAdvancedFitBatch :members: :undoc-members: :show-inheritance: :mod:`PyMcaEPDL97` Module ------------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.PyMcaEPDL97 :members: :undoc-members: :show-inheritance: :mod:`Scofield1973` Module -------------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.Scofield1973 :members: :undoc-members: :show-inheritance: :mod:`SingleLayerStrategy` Module --------------------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.SingleLayerStrategy :members: :undoc-members: :show-inheritance: :mod:`Strategies` Module ------------------------ .. automodule:: PyMca5.PyMcaPhysics.xrf.Strategies :members: :undoc-members: :show-inheritance: :mod:`XRayTubeEbel` Module -------------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.XRayTubeEbel :members: :undoc-members: :show-inheritance: Subpackages ----------- .. toctree:: PyMca5.PyMcaPhysics.xrf.XRFMC PyMca5-5.2.2/doc/source/PyMca5.PyMcaMath.mva.rst0000644000276300001750000000130413136054446021230 0ustar solebliss00000000000000mva Package =========== :mod:`Lanczos` Module --------------------- .. automodule:: PyMca5.PyMcaMath.mva.Lanczos :members: :undoc-members: :show-inheritance: :mod:`NNMAModule` Module ------------------------ .. automodule:: PyMca5.PyMcaMath.mva.NNMAModule :members: :undoc-members: :show-inheritance: :mod:`PCAModule` Module ----------------------- .. automodule:: PyMca5.PyMcaMath.mva.PCAModule :members: :undoc-members: :show-inheritance: :mod:`PCATools` Module ---------------------- .. automodule:: PyMca5.PyMcaMath.mva.PCATools :members: :undoc-members: :show-inheritance: Subpackages ----------- .. toctree:: PyMca5.PyMcaMath.mva.py_nnma PyMca5-5.2.2/doc/source/PyMca5.PyMcaPlugins.rst0000644000276300001750000001445613136054446021212 0ustar solebliss00000000000000PyMcaPlugins Package ==================== :mod:`PyMcaPlugins` Package --------------------------- .. automodule:: PyMca5.PyMcaPlugins :members: :undoc-members: :show-inheritance: :mod:`AdvancedAlignmentScanPlugin` Module ----------------------------------------- .. automodule:: PyMca5.PyMcaPlugins.AdvancedAlignmentScanPlugin :members: :undoc-members: :show-inheritance: :mod:`AlignmentScanPlugin` Module --------------------------------- .. automodule:: PyMca5.PyMcaPlugins.AlignmentScanPlugin :members: :undoc-members: :show-inheritance: :mod:`BackgroundScanPlugin` Module ---------------------------------- .. automodule:: PyMca5.PyMcaPlugins.BackgroundScanPlugin :members: :undoc-members: :show-inheritance: :mod:`BackgroundStackPlugin` Module ----------------------------------- .. automodule:: PyMca5.PyMcaPlugins.BackgroundStackPlugin :members: :undoc-members: :show-inheritance: :mod:`CalculationThread` Module ------------------------------- .. automodule:: PyMca5.PyMcaPlugins.CalculationThread :members: :undoc-members: :show-inheritance: :mod:`ConsolePlugin` Module --------------------------- .. automodule:: PyMca5.PyMcaPlugins.ConsolePlugin :members: :undoc-members: :show-inheritance: :mod:`ConsoleStackPlugin` Module -------------------------------- .. automodule:: PyMca5.PyMcaPlugins.ConsoleStackPlugin :members: :undoc-members: :show-inheritance: :mod:`ExternalImagesStackPlugin` Module --------------------------------------- .. automodule:: PyMca5.PyMcaPlugins.ExternalImagesStackPlugin :members: :undoc-members: :show-inheritance: :mod:`FastXRFLinearFitStackPlugin` Module ----------------------------------------- .. automodule:: PyMca5.PyMcaPlugins.FastXRFLinearFitStackPlugin :members: :undoc-members: :show-inheritance: :mod:`FitStackPlugin` Module ---------------------------- .. automodule:: PyMca5.PyMcaPlugins.FitStackPlugin :members: :undoc-members: :show-inheritance: :mod:`ImageAlignmentStackPlugin` Module --------------------------------------- .. automodule:: PyMca5.PyMcaPlugins.ImageAlignmentStackPlugin :members: :undoc-members: :show-inheritance: :mod:`MathPlugins` Module ------------------------- .. automodule:: PyMca5.PyMcaPlugins.MathPlugins :members: :undoc-members: :show-inheritance: :mod:`MedianFilterScanDeglitchPlugin` Module -------------------------------------------- .. automodule:: PyMca5.PyMcaPlugins.MedianFilterScanDeglitchPlugin :members: :undoc-members: :show-inheritance: :mod:`MedianFilterScanPlugin` Module ------------------------------------ .. automodule:: PyMca5.PyMcaPlugins.MedianFilterScanPlugin :members: :undoc-members: :show-inheritance: :mod:`MedianFilterStackPlugin` Module ------------------------------------- .. automodule:: PyMca5.PyMcaPlugins.MedianFilterStackPlugin :members: :undoc-members: :show-inheritance: :mod:`MotorInfoPlugin` Module ----------------------------- .. automodule:: PyMca5.PyMcaPlugins.MotorInfoPlugin :members: :undoc-members: :show-inheritance: :mod:`MotorInfoWindow` Module ----------------------------- .. automodule:: PyMca5.PyMcaPlugins.MotorInfoWindow :members: :undoc-members: :show-inheritance: :mod:`MultipleScanToMeshPlugin` Module -------------------------------------- .. automodule:: PyMca5.PyMcaPlugins.MultipleScanToMeshPlugin :members: :undoc-members: :show-inheritance: :mod:`NNMAStackPlugin` Module ----------------------------- .. automodule:: PyMca5.PyMcaPlugins.NNMAStackPlugin :members: :undoc-members: :show-inheritance: :mod:`NormalizationPlugins` Module ---------------------------------- .. automodule:: PyMca5.PyMcaPlugins.NormalizationPlugins :members: :undoc-members: :show-inheritance: :mod:`PCAStackPlugin` Module ---------------------------- .. automodule:: PyMca5.PyMcaPlugins.PCAStackPlugin :members: :undoc-members: :show-inheritance: :mod:`Plugin1DBase` Module -------------------------- .. automodule:: PyMca5.PyMcaPlugins.Plugin1DBase :members: :undoc-members: :show-inheritance: :mod:`ROIStackPlugin` Module ---------------------------- .. automodule:: PyMca5.PyMcaPlugins.ROIStackPlugin :members: :undoc-members: :show-inheritance: :mod:`RegularMeshPlugin` Module ------------------------------- .. automodule:: PyMca5.PyMcaPlugins.RegularMeshPlugin :members: :undoc-members: :show-inheritance: :mod:`ReverseStackPlugin` Module -------------------------------- .. automodule:: PyMca5.PyMcaPlugins.ReverseStackPlugin :members: :undoc-members: :show-inheritance: :mod:`StackAxesPlugin` Module ----------------------------- .. automodule:: PyMca5.PyMcaPlugins.StackAxesPlugin :members: :undoc-members: :show-inheritance: :mod:`StackBrowserPlugin` Module -------------------------------- .. automodule:: PyMca5.PyMcaPlugins.StackBrowserPlugin :members: :undoc-members: :show-inheritance: :mod:`StackNormalizationPlugin` Module -------------------------------------- .. automodule:: PyMca5.PyMcaPlugins.StackNormalizationPlugin :members: :undoc-members: :show-inheritance: :mod:`StackPluginBase` Module ----------------------------- .. automodule:: PyMca5.PyMcaPlugins.StackPluginBase :members: :undoc-members: :show-inheritance: :mod:`StackScanWindowPlugin` Module ----------------------------------- .. automodule:: PyMca5.PyMcaPlugins.StackScanWindowPlugin :members: :undoc-members: :show-inheritance: :mod:`XASScanNormalizationPlugin` Module ---------------------------------------- .. automodule:: PyMca5.PyMcaPlugins.XASScanNormalizationPlugin :members: :undoc-members: :show-inheritance: :mod:`XASSelfattenuationPlugin` Module -------------------------------------- .. automodule:: PyMca5.PyMcaPlugins.XASSelfattenuationPlugin :members: :undoc-members: :show-inheritance: :mod:`XASStackNormalizationPlugin` Module ----------------------------------------- .. automodule:: PyMca5.PyMcaPlugins.XASStackNormalizationPlugin :members: :undoc-members: :show-inheritance: :mod:`XMCDPlugin` Module ------------------------ .. automodule:: PyMca5.PyMcaPlugins.XMCDPlugin :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaPhysics.xas.rst0000644000276300001750000000064113136054446021774 0ustar solebliss00000000000000xas Package =========== :mod:`XASNormalization` Module ------------------------------ .. automodule:: PyMca5.PyMcaPhysics.xas.XASNormalization :members: :undoc-members: :show-inheritance: :mod:`XASSelfattenuationCorrection` Module ------------------------------------------ .. automodule:: PyMca5.PyMcaPhysics.xas.XASSelfattenuationCorrection :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/doc/source/PyMca5.PyMcaPhysics.xrf.XRFMC.rst0000644000276300001750000000055413136054446022661 0ustar solebliss00000000000000XRFMC Package ============= :mod:`XMSOParser` Module ------------------------ .. automodule:: PyMca5.PyMcaPhysics.xrf.XRFMC.XMSOParser :members: :undoc-members: :show-inheritance: :mod:`XRFMCHelper` Module ------------------------- .. automodule:: PyMca5.PyMcaPhysics.xrf.XRFMC.XRFMCHelper :members: :undoc-members: :show-inheritance: PyMca5-5.2.2/build-deb.sh0000755000276300001750000001452413203352103015107 0ustar solebliss00000000000000#!/bin/sh # # Debian packaging for python projects with a silx-like structure # # Copyright (C) 2015-2017 European Synchrotron Radiation Facility, Grenoble, France # # Principal author: Jérôme Kieffer (Jerome.Kieffer@ESRF.eu) # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE # Script that builds a debian package from this library project=PyMca5 source_project=pymca version=$(python -c"import version; print(version.version)") strictversion=$(python -c"import version; print(version.strictversion)") debianversion=$(python -c"import version; print(version.debianversion)") deb_name=$(echo "$source_project" | tr '[:upper:]' '[:lower:]') # target system debian_version=$(grep -o '[0-9]*' /etc/issue) target_system=debian${debian_version} project_directory="`dirname \"$0\"`" project_directory="`( cd \"$project_directory\" && pwd )`" # absolutized dist_directory=${project_directory}/dist/${target_system} build_directory=${project_directory}/build/${target_system} if [ -d /usr/lib/ccache ]; then export PATH=/usr/lib/ccache:$PATH fi usage="usage: $(basename "$0") [options] Build the Debian ${debian_version} package of the ${project} library. If the build succeed the directory dist/debian${debian_version} will contains the packages. optional arguments: --help show this help text --install install the packages generated at the end of the process using 'sudo dpkg' --debian7 Simulate a debian7 system (fail-safe) --debian8 Simulate a debian 8 Jessie system --debian9 Simulate a debian 9 Stretch system " install=0 use_python3=0 #used only for stdeb while : do case "$1" in -h | --help) echo "$usage" exit 0 ;; --install) install=1 shift ;; --python3) use_python3=1 shift ;; --debian7) debian_version=7 shift ;; --debian8) debian_version=8 shift ;; --debian9) debian_version=9 shift ;; -*) echo "Error: Unknown option: $1" >&2 echo "$usage" exit 1 ;; *) # No more options break ;; esac done clean_up() { echo "Clean working dir:" # clean up previous build rm -rf ${build_directory} # create the build context mkdir -p ${build_directory} } build_deb_8_plus () { echo "Build for debian 8 or newer using actual packaging" tarname=${project}_${debianversion}.orig.tar.gz clean_up python setup.py debian_src cp -f dist/${tarname} ${build_directory} if [ -f dist/${project}-testimages.tar.gz ] then cp -f dist/${project}-testimages.tar.gz ${build_directory} fi cd ${build_directory} tar -xzf ${tarname} directory=${project}-${strictversion} newname=${deb_name}_${debianversion}.orig.tar.gz #echo tarname $tarname newname $newname if [ $tarname != $newname ] then if [ -h $newname ] then rm ${newname} fi ln -s ${tarname} ${newname} fi if [ -f ${project}-testimages.tar.gz ] then if [ ! -h ${deb_name}_${debianversion}.orig-testimages.tar.gz ] then ln -s ${project}-testimages.tar.gz ${deb_name}_${debianversion}.orig-testimages.tar.gz fi fi cd ${directory} cp -r ${project_directory}/package/${target_system} debian cp ${project_directory}/copyright debian #handle test images if [ -f ../${deb_name}_${debianversion}.orig-testimages.tar.gz ] then if [ ! -d testimages ] then mkdir testimages fi cd testimages tar -xzf ../${deb_name}_${debianversion}.orig-testimages.tar.gz cd .. else # Disable to skip tests during build echo No test data #export PYBUILD_DISABLE_python2=test #export PYBUILD_DISABLE_python3=test #export DEB_BUILD_OPTIONS=nocheck fi dch -v ${debianversion}-1 "upstream development build of ${project} ${version}" dch --bpo "${project} snapshot ${version} built for ${target_system}" dpkg-buildpackage -r rc=$? if [ $rc -eq 0 ]; then # move packages to dist directory echo Build succeeded... rm -rf ${dist_directory} mkdir -p ${dist_directory} mv ${build_directory}/*.deb ${dist_directory} mv ${build_directory}/*.x* ${dist_directory} mv ${build_directory}/*.dsc ${dist_directory} mv ${build_directory}/*.changes ${dist_directory} cd ../../.. else echo Build failed, please investigate ... exit "$rc" fi } build_deb_7_minus () { echo "Build for debian 7 or older using stdeb" tarname=${project}-${strictversion}.tar.gz clean_up python setup.py sdist cp -f dist/${tarname} ${build_directory} cd ${build_directory} tar -xzf ${tarname} cd ${project}-${strictversion} if [ $use_python3 = 1 ] then echo Using Python 2+3 python3 setup.py --command-packages=stdeb.command sdist_dsc --with-python2=True --with-python3=True --no-python3-scripts=True build --no-cython bdist_deb rc=$? else echo Using Python 2 # bdist_deb feed /usr/bin using setup.py entry-points python setup.py --command-packages=stdeb.command build --no-cython bdist_deb rc=$? fi # move packages to dist directory rm -rf ${dist_directory} mkdir -p ${dist_directory} mv -f deb_dist/*.deb ${dist_directory} # back to the root cd ../../.. } if [ $debian_version -ge 8 ] then build_deb_8_plus else build_deb_7_minus fi if [ $install -eq 1 ]; then sudo -v su -c "dpkg -i ${dist_directory}/*.deb" fi exit "$rc" PyMca5-5.2.2/package/0000755000276300001750000000000013205526235014321 5ustar solebliss00000000000000PyMca5-5.2.2/package/debian8/0000755000276300001750000000000013205526235015633 5ustar solebliss00000000000000PyMca5-5.2.2/package/debian8/watch0000644000276300001750000000027213203352103016652 0ustar solebliss00000000000000version=3 opts=repacksuffix=+dfsg,\ uversionmangle=s/(rc|a|b|c)/~$1/,\ dversionmangle=s/\+dfsg// \ https://pypi.debian.net/PyMca5/PyMca5-(.+)\.(?:zip|tgz|tbz|txz|(?:tar\.(?:gz|bz2|xz))) PyMca5-5.2.2/package/debian8/control0000644000276300001750000001760213203352103017231 0ustar solebliss00000000000000Source: pymca Maintainer: Debian Science Maintainers Uploaders: Teemu Ikonen , Picca Frédéric-Emmanuel Section: science Testsuite: autopkgtest Priority: extra Build-Depends: cython, cython-dbg, cython3, cython3-dbg, dh-python, debhelper (>= 9), libglu1-mesa-dev, libqhull-dev, python-all-dbg, python-all-dev, python-numpy, python-numpy-dbg, python-setuptools, python-sphinx, python3-all-dbg, python3-all-dev, python3-numpy, python3-numpy-dbg, python3-setuptools, python3-sphinx, Standards-Version: 3.9.8 Vcs-Browser: https://anonscm.debian.org/cgit/debian-science/packages/pymca.git Vcs-Git: https://anonscm.debian.org/git/debian-science/packages/pymca.git Homepage: https://github.com/vasole/pymca Package: pymca Architecture: all Depends: python-pymca5 (>= ${source:Version}), ${misc:Depends}, ${python:Depends}, ${shlibs:Depends} Description: Applications and toolkit for X-ray fluorescence analysis -- scripts PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . The applications included in this package are: . * edfviewer - Display and inspection of data files in ESRF Data Format * elementsinfo - Displays element specific X-ray data * mca2edf - Converts files from SPEC MCA format to EDF * peakidentifier - Displays X-ray fluorescence peaks in a given energy range * pymcabatch - Batch fitting of spectra * pymcapostbatch - Post-processing of batch fitting results * pymca - Interactive data-analysis * pymcaroitool - Region-of-interest (ROI) imaging tool . The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats. . This are the scripts of the package. Package: python-pymca5 Architecture: any Section: python Depends: pymca-data (= ${source:Version}), python-fisx (>= 1.1.2), python-matplotlib, python-opengl, python-qt4 | python-pyside | python-pyqt5, python-qt4-gl | python-pyside | python-pyqt5.qtopengl, ${misc:Depends}, ${python:Depends}, ${shlibs:Depends} Recommends: python-h5py, python-mdp Description: Applications and toolkit for X-ray fluorescence analysis -- Python 2 PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . The applications included in this package are: . * edfviewer - Display and inspection of data files in ESRF Data Format * elementsinfo - Displays element specific X-ray data * mca2edf - Converts files from SPEC MCA format to EDF * peakidentifier - Displays X-ray fluorescence peaks in a given energy range * pymcabatch - Batch fitting of spectra * pymcapostbatch - Post-processing of batch fitting results * pymca - Interactive data-analysis * pymcaroitool - Region-of-interest (ROI) imaging tool . The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats. . This is the Python 2 version of the package. Package: python-pymca5-dbg Architecture: any Section: debug Depends: python-fisx-dbg (>= 1.1.2), python-matplotlib-dbg, python-opengl, python-pymca5 (= ${binary:Version}), python-qt4-dbg | python-pyqt5-dbg, python-qt4-gl-dbg | python-pyqt5.qtopengl-dbg, ${misc:Depends}, ${python:Depends}, ${shlibs:Depends} Recommends: python-dbg, python-h5py-dbg, python-mdp Description: Applications and toolkit for X-ray fluorescence analysis -- Python 2 debug PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . The applications included in this package are: . * edfviewer - Display and inspection of data files in ESRF Data Format * elementsinfo - Displays element specific X-ray data * mca2edf - Converts files from SPEC MCA format to EDF * peakidentifier - Displays X-ray fluorescence peaks in a given energy range * pymcabatch - Batch fitting of spectra * pymcapostbatch - Post-processing of batch fitting results * pymca - Interactive data-analysis * pymcaroitool - Region-of-interest (ROI) imaging tool . The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats. . This is the Python 2 debug version of the package. Package: python3-pymca5 Architecture: any Section: python Depends: pymca-data (= ${source:Version}), python3-fisx (>= 1.1.2), python3-matplotlib, python3-opengl, python3-pyqt4 | python3-pyside | python3-pyqt5, python3-pyqt4.qtopengl | python3-pyside | python3-pyqt5.qtopengl, ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends} Recommends: python3-h5py, python3-mdp Description: Applications and toolkit for X-ray fluorescence analysis -- Python 3 PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . The applications included in this package are: . * edfviewer - Display and inspection of data files in ESRF Data Format * elementsinfo - Displays element specific X-ray data * mca2edf - Converts files from SPEC MCA format to EDF * peakidentifier - Displays X-ray fluorescence peaks in a given energy range * pymcabatch - Batch fitting of spectra * pymcapostbatch - Post-processing of batch fitting results * pymca - Interactive data-analysis * pymcaroitool - Region-of-interest (ROI) imaging tool . The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats. . This is the Python 3 version of the package. Package: python3-pymca5-dbg Architecture: any Section: debug Depends: python3-fisx-dbg (>= 1.1.2), python3-matplotlib-dbg, python3-opengl, python3-pymca5 (= ${binary:Version}), python3-pyqt4-dbg | python3-pyqt5-dbg, python3-pyqt4.qtopengl-dbg | python3-pyqt5.qtopengl-dbg, ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends} Recommends: python3-dbg, python3-h5py-dbg, python3-mdp Description: Applications and toolkit for X-ray fluorescence analysis -- Python 3 debug PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . The applications included in this package are: . * edfviewer - Display and inspection of data files in ESRF Data Format * elementsinfo - Displays element specific X-ray data * mca2edf - Converts files from SPEC MCA format to EDF * peakidentifier - Displays X-ray fluorescence peaks in a given energy range * pymcabatch - Batch fitting of spectra * pymcapostbatch - Post-processing of batch fitting results * pymca - Interactive data-analysis * pymcaroitool - Region-of-interest (ROI) imaging tool . The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats. . This is the Python 3 debug version of the package. Package: pymca-data Architecture: all Depends: ${misc:Depends} Description: Architecture independent data files for PyMca PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . This package contains the architecture independent data files for PyMca. Package: pymca-doc Architecture: all Section: doc Depends: ${misc:Depends}, ${sphinxdoc:Depends}, Breaks: pymca (<< 5.1.2+dfsg), Replaces: pymca (<< 5.1.2+dfsg), Description: Documentation files for PyMca PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . This package contains the documentation files for PyMca. PyMca5-5.2.2/package/debian8/compat0000644000276300001750000000000213203352103017016 0ustar solebliss000000000000009 PyMca5-5.2.2/package/debian8/changelog0000644000276300001750000000052413205526205017503 0ustar solebliss00000000000000pymca (5.2.2-2) unstable; urgency=low * Bugfix SpsDataSource -- Pierre Knobel Thu, 7 Nov 2017 10:01:17 +0200 pymca (5.2.2-1) unstable; urgency=low * Upstream version 5.2.2a. * New internal debian packaging scripts based on silx -- Pierre Knobel Thu, 26 Oct 2017 10:01:17 +0200 PyMca5-5.2.2/package/debian8/source/0000755000276300001750000000000013205526235017133 5ustar solebliss00000000000000PyMca5-5.2.2/package/debian8/source/format0000644000276300001750000000001413203352103020326 0ustar solebliss000000000000003.0 (quilt) PyMca5-5.2.2/package/debian8/source/options0000644000276300001750000000004613203352103020536 0ustar solebliss00000000000000extend-diff-ignore="^[^/]+\.egg-info/"PyMca5-5.2.2/package/debian8/rules0000644000276300001750000000463613203352103016706 0ustar solebliss00000000000000#!/usr/bin/make -f export DH_VERBOSE=1 export SPECFILE_USE_GNU_SOURCE=1 export WITH_CYTHON=1 export QHULL_CFLAGS=-I/usr/include/qhull export QHULL_LIBS=-lqhull export PYMCA_DATA_DIR=/usr/share/pymca export PYMCA_DOC_DIR=$(PYMCA_DATA_DIR)/doc export PYMCA_DISTUTILS=1 export PYMCA_DATA_DIR_TEST=$(CURDIR)/PyMca5/PyMcaData/ export PYMCA_DOC_DIR_TEST=$(PYMCA_DATA_DIR_TEST)/doc export PYBUILD_NAME=pymca5 export PYBUILD_AFTER_INSTALL=rm -rf {destdir}/usr/bin/ {destdir}/usr/share/man {destdir}$(PYMCA_DATA_DIR) %: dh $@ --with python2,python3,sphinxdoc --buildsystem=pybuild override_dh_clean: dh_clean # remove the .c cython generated files find PyMca5 -iname *.pyx | sed -e 's,\.pyx,\.c,g' | xargs -r rm -f # remove the build documentation rm -rf doc/build override_dh_installchangelogs: dh_installchangelogs changelog.txt override_dh_install: dh_install -O--buildsystem=pybuild # pymca python setup.py install_scripts -d debian/pymca/usr/bin python setup.py install_man -d debian/pymca/usr/share/man dh_install -p pymca package/desktop/edfviewer.desktop usr/share/applications dh_install -p pymca package/desktop/elementsinfo.desktop usr/share/applications dh_install -p pymca package/desktop/peakidentifier.desktop usr/share/applications dh_install -p pymca package/desktop/pymca.desktop usr/share/applications dh_install -p pymca package/desktop/pymca.xpm usr/share/pixmaps dh_install -p pymca package/desktop/pymcaroitool.desktop usr/share/applications # pymca-data python setup.py install_data --root debian/pymca-data/ rm -f debian/pymca-data/usr/share/pymca/EPDL97/LICENSE rm -f debian/pymca-data/usr/share/pymca/LICENSE rm -f debian/pymca-data/usr/share/pymca/LICENSE.GPL rm -f debian/pymca-data/usr/share/pymca/LICENSE.LGPL rm -f debian/pymca-data/usr/share/pymca/LICENSE.MIT rm -rf debian/pymca-data/usr/share/pymca/doc/HTML/PyMCA_files/ dh_numpy dh_numpy3 override_dh_auto_test: PYBUILD_SYSTEM=custom \ PYBUILD_TEST_ARGS="cd {build_dir} && PYMCA_DATA_DIR=$(PYMCA_DATA_DIR_TEST) {interpreter} PyMca5/tests/TestAll.py" dh_auto_test override_dh_sphinxdoc: ifeq (,$(findstring nodocs, $(DEB_BUILD_OPTIONS))) PYBUILD_SYSTEM=custom \ PYBUILD_BUILD_ARGS="cd doc && PYTHONPATH={build_dir} PYMCA_DATA_DIR=$(PYMCA_DATA_DIR_TEST) http_proxy='127.0.0.1:9' sphinx-build -N -bhtml source build/html" dh_auto_build # HTML generator dh_installdocs "doc/build/html" -p pymca-doc dh_sphinxdoc -O--buildsystem=pybuild endif PyMca5-5.2.2/package/debian8/gbp.conf0000644000276300001750000000004013203352103017231 0ustar solebliss00000000000000[DEFAULT] debian-branch = masterPyMca5-5.2.2/package/debian8/clean0000644000276300001750000000001413203352103016620 0ustar solebliss00000000000000*.egg-info/*PyMca5-5.2.2/package/debian9/0000755000276300001750000000000013205526235015634 5ustar solebliss00000000000000PyMca5-5.2.2/package/debian9/watch0000644000276300001750000000027213203352103016653 0ustar solebliss00000000000000version=3 opts=repacksuffix=+dfsg,\ uversionmangle=s/(rc|a|b|c)/~$1/,\ dversionmangle=s/\+dfsg// \ https://pypi.debian.net/PyMca5/PyMca5-(.+)\.(?:zip|tgz|tbz|txz|(?:tar\.(?:gz|bz2|xz))) PyMca5-5.2.2/package/debian9/control0000644000276300001750000001760213203352103017232 0ustar solebliss00000000000000Source: pymca Maintainer: Debian Science Maintainers Uploaders: Teemu Ikonen , Picca Frédéric-Emmanuel Section: science Testsuite: autopkgtest Priority: extra Build-Depends: cython, cython-dbg, cython3, cython3-dbg, dh-python, debhelper (>= 9), libglu1-mesa-dev, libqhull-dev, python-all-dbg, python-all-dev, python-numpy, python-numpy-dbg, python-setuptools, python-sphinx, python3-all-dbg, python3-all-dev, python3-numpy, python3-numpy-dbg, python3-setuptools, python3-sphinx, Standards-Version: 3.9.8 Vcs-Browser: https://anonscm.debian.org/cgit/debian-science/packages/pymca.git Vcs-Git: https://anonscm.debian.org/git/debian-science/packages/pymca.git Homepage: https://github.com/vasole/pymca Package: pymca Architecture: all Depends: python-pymca5 (>= ${source:Version}), ${misc:Depends}, ${python:Depends}, ${shlibs:Depends} Description: Applications and toolkit for X-ray fluorescence analysis -- scripts PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . The applications included in this package are: . * edfviewer - Display and inspection of data files in ESRF Data Format * elementsinfo - Displays element specific X-ray data * mca2edf - Converts files from SPEC MCA format to EDF * peakidentifier - Displays X-ray fluorescence peaks in a given energy range * pymcabatch - Batch fitting of spectra * pymcapostbatch - Post-processing of batch fitting results * pymca - Interactive data-analysis * pymcaroitool - Region-of-interest (ROI) imaging tool . The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats. . This are the scripts of the package. Package: python-pymca5 Architecture: any Section: python Depends: pymca-data (= ${source:Version}), python-fisx (>= 1.1.2), python-matplotlib, python-opengl, python-qt4 | python-pyside | python-pyqt5, python-qt4-gl | python-pyside | python-pyqt5.qtopengl, ${misc:Depends}, ${python:Depends}, ${shlibs:Depends} Recommends: python-h5py, python-mdp Description: Applications and toolkit for X-ray fluorescence analysis -- Python 2 PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . The applications included in this package are: . * edfviewer - Display and inspection of data files in ESRF Data Format * elementsinfo - Displays element specific X-ray data * mca2edf - Converts files from SPEC MCA format to EDF * peakidentifier - Displays X-ray fluorescence peaks in a given energy range * pymcabatch - Batch fitting of spectra * pymcapostbatch - Post-processing of batch fitting results * pymca - Interactive data-analysis * pymcaroitool - Region-of-interest (ROI) imaging tool . The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats. . This is the Python 2 version of the package. Package: python-pymca5-dbg Architecture: any Section: debug Depends: python-fisx-dbg (>= 1.1.2), python-matplotlib-dbg, python-opengl, python-pymca5 (= ${binary:Version}), python-qt4-dbg | python-pyqt5-dbg, python-qt4-gl-dbg | python-pyqt5.qtopengl-dbg, ${misc:Depends}, ${python:Depends}, ${shlibs:Depends} Recommends: python-dbg, python-h5py-dbg, python-mdp Description: Applications and toolkit for X-ray fluorescence analysis -- Python 2 debug PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . The applications included in this package are: . * edfviewer - Display and inspection of data files in ESRF Data Format * elementsinfo - Displays element specific X-ray data * mca2edf - Converts files from SPEC MCA format to EDF * peakidentifier - Displays X-ray fluorescence peaks in a given energy range * pymcabatch - Batch fitting of spectra * pymcapostbatch - Post-processing of batch fitting results * pymca - Interactive data-analysis * pymcaroitool - Region-of-interest (ROI) imaging tool . The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats. . This is the Python 2 debug version of the package. Package: python3-pymca5 Architecture: any Section: python Depends: pymca-data (= ${source:Version}), python3-fisx (>= 1.1.2), python3-matplotlib, python3-opengl, python3-pyqt4 | python3-pyside | python3-pyqt5, python3-pyqt4.qtopengl | python3-pyside | python3-pyqt5.qtopengl, ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends} Recommends: python3-h5py, python3-mdp Description: Applications and toolkit for X-ray fluorescence analysis -- Python 3 PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . The applications included in this package are: . * edfviewer - Display and inspection of data files in ESRF Data Format * elementsinfo - Displays element specific X-ray data * mca2edf - Converts files from SPEC MCA format to EDF * peakidentifier - Displays X-ray fluorescence peaks in a given energy range * pymcabatch - Batch fitting of spectra * pymcapostbatch - Post-processing of batch fitting results * pymca - Interactive data-analysis * pymcaroitool - Region-of-interest (ROI) imaging tool . The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats. . This is the Python 3 version of the package. Package: python3-pymca5-dbg Architecture: any Section: debug Depends: python3-fisx-dbg (>= 1.1.2), python3-matplotlib-dbg, python3-opengl, python3-pymca5 (= ${binary:Version}), python3-pyqt4-dbg | python3-pyqt5-dbg, python3-pyqt4.qtopengl-dbg | python3-pyqt5.qtopengl-dbg, ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends} Recommends: python3-dbg, python3-h5py-dbg, python3-mdp Description: Applications and toolkit for X-ray fluorescence analysis -- Python 3 debug PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . The applications included in this package are: . * edfviewer - Display and inspection of data files in ESRF Data Format * elementsinfo - Displays element specific X-ray data * mca2edf - Converts files from SPEC MCA format to EDF * peakidentifier - Displays X-ray fluorescence peaks in a given energy range * pymcabatch - Batch fitting of spectra * pymcapostbatch - Post-processing of batch fitting results * pymca - Interactive data-analysis * pymcaroitool - Region-of-interest (ROI) imaging tool . The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats. . This is the Python 3 debug version of the package. Package: pymca-data Architecture: all Depends: ${misc:Depends} Description: Architecture independent data files for PyMca PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . This package contains the architecture independent data files for PyMca. Package: pymca-doc Architecture: all Section: doc Depends: ${misc:Depends}, ${sphinxdoc:Depends}, Breaks: pymca (<< 5.1.2+dfsg), Replaces: pymca (<< 5.1.2+dfsg), Description: Documentation files for PyMca PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra. . This package contains the documentation files for PyMca. PyMca5-5.2.2/package/debian9/compat0000644000276300001750000000000213203352103017017 0ustar solebliss000000000000009 PyMca5-5.2.2/package/debian9/changelog0000644000276300001750000000052413203352724017505 0ustar solebliss00000000000000pymca (5.2.2-2) unstable; urgency=low * Bugfix SpsDataSource -- Pierre Knobel Thu, 7 Nov 2017 10:01:17 +0200 pymca (5.2.2-1) unstable; urgency=low * Upstream version 5.2.2a. * New internal debian packaging scripts based on silx -- Pierre Knobel Thu, 26 Oct 2017 10:01:17 +0200 PyMca5-5.2.2/package/debian9/source/0000755000276300001750000000000013205526235017134 5ustar solebliss00000000000000PyMca5-5.2.2/package/debian9/source/format0000644000276300001750000000001413203352103020327 0ustar solebliss000000000000003.0 (quilt) PyMca5-5.2.2/package/debian9/source/options0000644000276300001750000000004613203352103020537 0ustar solebliss00000000000000extend-diff-ignore="^[^/]+\.egg-info/"PyMca5-5.2.2/package/debian9/rules0000644000276300001750000000465113203352103016704 0ustar solebliss00000000000000#!/usr/bin/make -f export DH_VERBOSE=1 export SPECFILE_USE_GNU_SOURCE=1 export WITH_CYTHON=1 export QHULL_CFLAGS=-I/usr/include/qhull export QHULL_LIBS=-lqhull export PYMCA_DATA_DIR=/usr/share/pymca export PYMCA_DOC_DIR=$(PYMCA_DATA_DIR)/doc export PYMCA_DISTUTILS=1 export PYMCA_DATA_DIR_TEST=$(CURDIR)/PyMca5/PyMcaData/ export PYMCA_DOC_DIR_TEST=$(PYMCA_DATA_DIR_TEST)/doc export PYBUILD_NAME=pymca5 export PYBUILD_AFTER_INSTALL=rm -rf {destdir}/usr/bin/ {destdir}/usr/share/man {destdir}$(PYMCA_DATA_DIR) %: dh $@ --with python2,python3,sphinxdoc --buildsystem=pybuild override_dh_clean: dh_clean # remove the .c cython generated files find PyMca5 -iname *.pyx | sed -e 's,\.pyx,\.c,g' | xargs -r rm -f # remove the build documentation rm -rf doc/build override_dh_installchangelogs: dh_installchangelogs changelog.txt override_dh_install: dh_install -O--buildsystem=pybuild # pymca python setup.py install_scripts -d debian/pymca/usr/bin python setup.py install_man -d debian/pymca/usr/share/man dh_install -p pymca package/desktop/edfviewer.desktop usr/share/applications dh_install -p pymca package/desktop/elementsinfo.desktop usr/share/applications dh_install -p pymca package/desktop/peakidentifier.desktop usr/share/applications dh_install -p pymca package/desktop/pymca.desktop usr/share/applications dh_install -p pymca package/desktop/pymca.xpm usr/share/pixmaps dh_install -p pymca package/desktop/pymcaroitool.desktop usr/share/applications # pymca-data python setup.py install_data --root debian/pymca-data/ rm -f debian/pymca-data/usr/share/pymca/EPDL97/LICENSE rm -f debian/pymca-data/usr/share/pymca/LICENSE rm -f debian/pymca-data/usr/share/pymca/LICENSE.GPL rm -f debian/pymca-data/usr/share/pymca/LICENSE.LGPL rm -f debian/pymca-data/usr/share/pymca/LICENSE.MIT rm -rf debian/pymca-data/usr/share/pymca/doc/HTML/PyMCA_files/ dh_numpy dh_numpy3 override_dh_auto_test: PYBUILD_SYSTEM=custom \ PYBUILD_TEST_ARGS="cd {build_dir} && PYMCA_DATA_DIR=$(PYMCA_DATA_DIR_TEST) {interpreter} PyMca5/tests/TestAll.py" dh_auto_test override_dh_sphinxdoc: ifeq (,$(findstring nodocs, $(DEB_BUILD_OPTIONS))) PYBUILD_SYSTEM=custom \ PYBUILD_BUILD_ARGS="cd doc && PYTHONPATH={build_dir} PYMCA_DATA_DIR=$(PYMCA_DATA_DIR_TEST) http_proxy='127.0.0.1:9' {interpreter} -m sphinx -N -bhtml source build/html" dh_auto_build # HTML generator dh_installdocs "doc/build/html" -p pymca-doc dh_sphinxdoc -O--buildsystem=pybuild endif PyMca5-5.2.2/package/debian9/gbp.conf0000644000276300001750000000004013203352103017232 0ustar solebliss00000000000000[DEFAULT] debian-branch = masterPyMca5-5.2.2/package/debian9/clean0000644000276300001750000000001413203352103016621 0ustar solebliss00000000000000*.egg-info/*PyMca5-5.2.2/package/desktop/0000755000276300001750000000000013205526235015772 5ustar solebliss00000000000000PyMca5-5.2.2/package/desktop/pymcaroitool.desktop0000644000276300001750000000050713203352103022075 0ustar solebliss00000000000000[Desktop Entry] Version=1.0 Name=PyMCA ROI tool Name[en_GB]=PyMCA ROI tool GenericName=Region of Interest imaging tool for XRF analysis GenericName[en_GB]=Region Of Interest imaging tool for XRF analysis Type=Application Exec=pymcaroitool Icon=/usr/share/pixmaps/pymca.xpm Terminal=false Categories=Science;Education;Physics; PyMca5-5.2.2/package/desktop/edfviewer.desktop0000644000276300001750000000043413203352103021333 0ustar solebliss00000000000000[Desktop Entry] Version=1.0 Name=EDFviewer Name[en_GB]=EDFviewer GenericName=Display files in ESRF Data Format GenericName[en_GB]=Display files in ESRF Data Format Type=Application Exec=edfviewer Icon=/usr/share/pixmaps/pymca.xpm Terminal=false Categories=Science;Education;Physics; PyMca5-5.2.2/package/desktop/pymca.xpm0000644000276300001750000004333013203352103017621 0ustar solebliss00000000000000/* XPM */ static char * pymca_xpm[] = { "32 32 994 2", " c #959983", ". c #80816A", "+ c #746C55", "@ c #5A5146", "# c #524E49", "$ c #71604F", "% c #9B7D5D", "& c #AF8B63", "* c #C29A6D", "= c #C19769", "- c #C89C6C", "; c #C79B6D", "> c #C89A6B", ", c #C99C6C", "' c #CB9F6E", ") c #C9A06F", "! c #C49C6B", "~ c #C79D70", "{ c #B99165", "] c #AA865B", "^ c #A6855B", "/ c #A07E55", "( c #9C7B57", "_ c #937551", ": c #8D704F", "< c #866C4D", "[ c #7D644A", "} c #76614A", "| c #6B5948", "1 c #5C5045", "2 c #4D4842", "3 c #484744", "4 c #878B71", "5 c #756F58", "6 c #5F5548", "7 c #524E47", "8 c #59534C", "9 c #7F6C55", "0 c #9B7F5D", "a c #B3926A", "b c #B89466", "c c #BF9868", "d c #C79E6F", "e c #C99E6D", "f c #CDA16C", "g c #C89C6A", "h c #C89E6E", "i c #CAA474", "j c #C29C6C", "k c #C29D6B", "l c #C19C6A", "m c #B28F62", "n c #A7865D", "o c #A9885E", "p c #A6835A", "q c #A18059", "r c #9D7C57", "s c #8D7152", "t c #826A4E", "u c #72604A", "v c #5D5246", "w c #504C43", "x c #474743", "y c #78775C", "z c #655C4A", "A c #5B524A", "B c #4F4E4A", "C c #6A5E50", "D c #927756", "E c #A48763", "F c #BA9A74", "G c #BE9C71", "H c #BF9A6B", "I c #C49E70", "J c #CDA575", "K c #CCA370", "L c #CAA371", "M c #CFA676", "N c #C7A06F", "O c #CAA475", "P c #C09C69", "Q c #B99666", "R c #B59467", "S c #B18F65", "T c #AE8D61", "U c #AB8A61", "V c #A5865F", "W c #A5845D", "X c #9D7E59", "Y c #8F7554", "Z c #826D51", "` c #71614B", " . c #5D5447", ".. c #514E46", "+. c #4A4A46", "@. c #726E57", "#. c #595147", "$. c #554F49", "%. c #4D4E4A", "&. c #786955", "*. c #9C805D", "=. c #AA8B64", "-. c #B49469", ";. c #C8A578", ">. c #C6A274", ",. c #C5A072", "'. c #C79F70", "). c #C9A272", "!. c #C9A370", "~. c #CDA573", "{. c #C69F6C", "]. c #BC9564", "^. c #B39062", "/. c #AD8B61", "(. c #AF8E63", "_. c #A8885E", ":. c #A98960", "<. c #A0835C", "[. c #9C7F5C", "}. c #927A59", "|. c #867153", "1. c #7B6A50", "2. c #6B5D4B", "3. c #585148", "4. c #4F4D47", "5. c #4A4B46", "6. c #686453", "7. c #57534C", "8. c #52504C", "9. c #4E4F4B", "0. c #827159", "a. c #A28764", "b. c #B0926B", "c. c #B79569", "d. c #B69266", "e. c #BB9869", "f. c #C39D6D", "g. c #C5A071", "h. c #C39B68", "i. c #C8A16D", "j. c #C79E6C", "k. c #B48F61", "l. c #9E805C", "m. c #917657", "n. c #937757", "o. c #967B5A", "p. c #987D5A", "q. c #997E59", "r. c #977C59", "s. c #90795A", "t. c #887355", "u. c #7F6D53", "v. c #776751", "w. c #6F634F", "x. c #665C4C", "y. c #595448", "z. c #505049", "A. c #4A4B47", "B. c #636151", "C. c #53524D", "D. c #51524F", "E. c #565652", "F. c #877560", "G. c #A48764", "H. c #A48662", "I. c #9C815E", "J. c #92795A", "K. c #967C5D", "L. c #B18C5F", "M. c #C09968", "N. c #BA9563", "O. c #BD9768", "P. c #AC895E", "Q. c #866F53", "R. c #726452", "S. c #726451", "T. c #73644F", "U. c #7A6953", "V. c #776855", "W. c #726553", "X. c #706450", "Y. c #6D614E", "Z. c #675D4D", "`. c #665D4F", " + c #675E4E", ".+ c #655B4D", "++ c #5D564C", "@+ c #53524C", "#+ c #4D4D4A", "$+ c #5E5E52", "%+ c #585752", "&+ c #585855", "*+ c #575752", "=+ c #776B57", "-+ c #83705A", ";+ c #7D6E59", ">+ c #7E6C58", ",+ c #7D6C56", "'+ c #766654", ")+ c #877258", "!+ c #B59063", "~+ c #B39063", "{+ c #897559", "]+ c #685F51", "^+ c #645D52", "/+ c #736353", "(+ c #8E7355", "_+ c #9A7B5B", ":+ c #7B6B55", "<+ c #675E54", "[+ c #54534C", "}+ c #595854", "|+ c #585750", "1+ c #5E5A51", "2+ c #696051", "3+ c #6B5F50", "4+ c #5F5A4D", "5+ c #55544D", "6+ c #625F55", "7+ c #5F5A54", "8+ c #585754", "9+ c #5E5D59", "0+ c #625F56", "a+ c #676055", "b+ c #816F5B", "c+ c #7E6D5B", "d+ c #746A5C", "e+ c #796854", "f+ c #7A6955", "g+ c #A68761", "h+ c #BB9768", "i+ c #9F835E", "j+ c #746754", "k+ c #676157", "l+ c #6E6254", "m+ c #846F56", "n+ c #876E55", "o+ c #645B4F", "p+ c #585650", "q+ c #605C54", "r+ c #5E5B56", "s+ c #5C5A55", "t+ c #635F56", "u+ c #7B6D59", "v+ c #756755", "w+ c #635C50", "x+ c #595750", "y+ c #535351", "z+ c #5C5A54", "A+ c #5A5954", "B+ c #575957", "C+ c #666058", "D+ c #6C6459", "E+ c #665F56", "F+ c #86725D", "G+ c #6F6256", "H+ c #5A5652", "I+ c #685C52", "J+ c #89735B", "K+ c #AA8862", "L+ c #C29C6A", "M+ c #947C60", "N+ c #6D6659", "O+ c #75685A", "P+ c #8C765B", "Q+ c #AE8B65", "R+ c #B48E62", "S+ c #836D57", "T+ c #726253", "U+ c #746859", "V+ c #766B58", "W+ c #7A6B58", "X+ c #8E775C", "Y+ c #9E815F", "Z+ c #9D8463", "`+ c #907B5F", " @ c #676053", ".@ c #595850", "+@ c #535552", "@@ c #5E5954", "#@ c #585956", "$@ c #535756", "%@ c #867766", "&@ c #957E64", "*@ c #968065", "=@ c #AD8E6B", "-@ c #9D8264", ";@ c #8E755A", ">@ c #90785C", ",@ c #9B8163", "'@ c #B7966D", ")@ c #C3A172", "!@ c #907D67", "~@ c #786E63", "{@ c #7D6F5D", "]@ c #977D5E", "^@ c #AD8C65", "/@ c #AF8D65", "(@ c #AD8D68", "_@ c #9D815F", ":@ c #8E7A60", "<@ c #84735C", "[@ c #937B62", "}@ c #AB8D6A", "|@ c #AF8F68", "1@ c #A48867", "2@ c #907C62", "3@ c #7A6C5B", "4@ c #676156", "5@ c #595A55", "6@ c #535553", "7@ c #605C59", "8@ c #5B5E5C", "9@ c #5A5B5A", "0@ c #988064", "a@ c #AA8D6B", "b@ c #A48B6B", "c@ c #9A8164", "d@ c #89755D", "e@ c #887662", "f@ c #A28867", "g@ c #AB8E68", "h@ c #C19F71", "i@ c #BA9A6F", "j@ c #8F7D68", "k@ c #817566", "l@ c #8D7C66", "m@ c #A48A6C", "n@ c #A98C68", "o@ c #A58967", "p@ c #9D8567", "q@ c #988265", "r@ c #9A8468", "s@ c #A98D6A", "t@ c #AF8F67", "u@ c #B6956C", "v@ c #B09069", "w@ c #A08464", "x@ c #8C7960", "y@ c #776C5A", "z@ c #64615A", "A@ c #545451", "B@ c #525352", "C@ c #5E5D5C", "D@ c #565959", "E@ c #66625C", "F@ c #A88966", "G@ c #C19E75", "H@ c #C3A377", "I@ c #C0A176", "J@ c #B6986F", "K@ c #BD9C72", "L@ c #BB9B6E", "M@ c #B99A73", "N@ c #C5A479", "O@ c #B89A74", "P@ c #907E68", "Q@ c #907F6D", "R@ c #A1896D", "S@ c #B89870", "T@ c #C8A374", "U@ c #C8A475", "V@ c #D1AB7A", "W@ c #D4AC7B", "X@ c #CAA275", "Y@ c #C8A074", "Z@ c #BE996D", "`@ c #B08E66", " # c #A58662", ".# c #987E64", "+# c #82725D", "@# c #70695D", "## c #61605B", "$# c #565655", "%# c #565757", "&# c #5D605F", "*# c #555A5A", "=# c #6E6760", "-# c #AB8C6A", ";# c #BD9B74", "># c #C3A177", ",# c #C5A379", "'# c #C09E71", ")# c #C4A276", "!# c #BC9D74", "~# c #BF9F78", "{# c #C7A67A", "]# c #AC9270", "^# c #99856C", "/# c #958169", "(# c #A18669", "_# c #BF9B71", ":# c #D0A674", "<# c #D0A77A", "[# c #D3AA7C", "}# c #D5AA7B", "|# c #D1A679", "1# c #CAA074", "2# c #BB946C", "3# c #A98A68", "4# c #9B8369", "5# c #8C7A66", "6# c #7A6E60", "7# c #6E6A63", "8# c #60605C", "9# c #5D5F5E", "0# c #555657", "a# c #606260", "b# c #545757", "c# c #736C62", "d# c #A78A6A", "e# c #B3936E", "f# c #C09D74", "g# c #CCA981", "h# c #C7A57A", "i# c #C4A47A", "j# c #B79975", "k# c #C09E76", "l# c #CAA87D", "m# c #AA9273", "n# c #97846B", "o# c #9F8A6E", "p# c #A98C6E", "q# c #BE9B71", "r# c #CAA177", "s# c #CCA175", "t# c #CEA479", "u# c #CFA479", "v# c #CCA177", "w# c #C49B72", "x# c #B28F6D", "y# c #A2876B", "z# c #917D69", "A# c #817465", "B# c #746B61", "C# c #66645F", "D# c #5B5C5A", "E# c #595C5C", "F# c #5A5D5D", "G# c #666665", "H# c #5E6263", "I# c #716D65", "J# c #A7896E", "K# c #BE9B75", "L# c #C7A077", "M# c #C6A27C", "N# c #C1A076", "O# c #BFA27C", "P# c #BB9F7B", "Q# c #CAAA83", "R# c #C3A379", "S# c #A89173", "T# c #9D8971", "U# c #A98E71", "V# c #BC9A74", "W# c #C59F77", "X# c #CBA37B", "Y# c #CDA47C", "Z# c #CAA17A", "`# c #C29C77", " $ c #B89571", ".$ c #A88B6D", "+$ c #95816C", "@$ c #877969", "#$ c #7D7469", "$$ c #716B63", "%$ c #676662", "&$ c #5D5D5D", "*$ c #585A5B", "=$ c #595B5C", "-$ c #5F5F60", ";$ c #555A5D", ">$ c #726C67", ",$ c #A2866C", "'$ c #C09D77", ")$ c #C4A47D", "!$ c #C0A078", "~$ c #B59977", "{$ c #B89C7B", "]$ c #CBAB84", "^$ c #BB9E7A", "/$ c #A28C71", "($ c #93836C", "_$ c #90806D", ":$ c #A68D74", "<$ c #B89875", "[$ c #BA9671", "}$ c #C29D79", "|$ c #C09B75", "1$ c #BC9974", "2$ c #B69672", "3$ c #AD8F72", "4$ c #9E876F", "5$ c #8D7B6A", "6$ c #7C7163", "7$ c #787167", "8$ c #706C67", "9$ c #686765", "0$ c #626365", "a$ c #58595A", "b$ c #5B5C5F", "c$ c #5C5F62", "d$ c #62676A", "e$ c #736E68", "f$ c #9D8672", "g$ c #B69575", "h$ c #C2A180", "i$ c #C0A07C", "j$ c #B99C79", "k$ c #AA9174", "l$ c #BB9D7C", "m$ c #CAAA84", "n$ c #B69B7B", "o$ c #A28D77", "p$ c #9B8975", "q$ c #938370", "r$ c #A88E76", "s$ c #B99672", "t$ c #C4A07D", "u$ c #C09D7B", "v$ c #BE9C7A", "w$ c #B59676", "x$ c #AF9277", "y$ c #A28971", "z$ c #8F7D6B", "A$ c #84776A", "B$ c #747069", "C$ c #6B6A67", "D$ c #626362", "E$ c #5F6062", "F$ c #5B5D5E", "G$ c #616265", "H$ c #626768", "I$ c #595F62", "J$ c #706E6A", "K$ c #938071", "L$ c #AD9279", "M$ c #B89A7D", "N$ c #B99B7C", "O$ c #B59A7E", "P$ c #A08A74", "Q$ c #BEA07F", "R$ c #C1A27F", "S$ c #A18D75", "T$ c #8A7D72", "U$ c #877C70", "V$ c #847A70", "W$ c #998571", "X$ c #C3A17E", "Y$ c #BE9C79", "Z$ c #C09E7C", "`$ c #B69776", " % c #B0967A", ".% c #A48D75", "+% c #94826F", "@% c #897D70", "#% c #7C746C", "$% c #716B65", "%% c #6D6A66", "&% c #6A6968", "*% c #5F6160", "=% c #5D5E5F", "-% c #5B5F60", ";% c #626667", ">% c #5E6366", ",% c #61676A", "'% c #6C6D6A", ")% c #8C7D72", "!% c #A38C78", "~% c #AE947B", "{% c #B3987D", "]% c #BB9E7F", "^% c #A5927D", "/% c #9B8978", "(% c #968574", "_% c #7A7670", ":% c #6B6C6D", "<% c #6D6D6D", "[% c #6F6D6A", "}% c #9B8876", "|% c #C1A181", "1% c #C19F7D", "2% c #B99B7F", "3% c #B0957A", "4% c #A59078", "5% c #978675", "6% c #8E8275", "7% c #80776E", "8% c #7C7873", "9% c #74726C", "0% c #777371", "a% c #696968", "b% c #686A6A", "c% c #5E6063", "d% c #5F6466", "e% c #606568", "f% c #5E6468", "g% c #606669", "h% c #6C6D6D", "i% c #8B8279", "j% c #98897B", "k% c #A08C7A", "l% c #B2967C", "m% c #C3A37E", "n% c #CAA984", "o% c #A3927F", "p% c #73726F", "q% c #6C6E6E", "r% c #6D7073", "s% c #717271", "t% c #78736F", "u% c #A18E7A", "v% c #B3987C", "w% c #B2977C", "x% c #AC957F", "y% c #A5917E", "z% c #9E8D7B", "A% c #8E8175", "B% c #8A8179", "C% c #5F769C", "D% c #4270B9", "E% c #4572B9", "F% c #406EB4", "G% c #4574B8", "H% c #2C67C8", "I% c #2C68CB", "J% c #2865C8", "K% c #2562C5", "L% c #63696D", "M% c #5F6569", "N% c #6D7172", "O% c #8C827A", "P% c #978A7F", "Q% c #9A887A", "R% c #A9927E", "S% c #BDA084", "T% c #C1A586", "U% c #BD9F82", "V% c #8F847A", "W% c #7C7A77", "X% c #807E7B", "Y% c #86817D", "Z% c #948980", "`% c #9F8E7F", " & c #A0907E", ".& c #9B8A79", "+& c #9C8B7B", "@& c #9E8E7E", "#& c #9A8B7C", "$& c #8E8378", "%& c #867F76", "&& c #C1C5D2", "*& c #CED3DE", "=& c #8A92B4", "-& c #7A82A3", ";& c #9DA4C6", ">& c #D0D7E3", ",& c #C5CAD6", "'& c #D5DCE8", ")& c #C8CED9", "!& c #656C70", "~& c #5F686D", "{& c #6C7174", "]& c #8F847D", "^& c #9F9084", "/& c #9D9084", "(& c #988B7E", "_& c #A79484", ":& c #BCA084", "<& c #BC9D82", "[& c #A7927E", "}& c #96897F", "|& c #8C847F", "1& c #918881", "2& c #958C84", "3& c #8E867F", "4& c #86817A", "5& c #8E847D", "6& c #9F9083", "7& c #A29182", "8& c #9F9183", "9& c #93897F", "0& c #8E8780", "a& c #CAC9CD", "b& c #EEE8E5", "c& c #DFE0E6", "d& c #DADBE0", "e& c #DEE1E9", "f& c #E9EAED", "g& c #E5E2E5", "h& c #EEEDF1", "i& c #E7E5E8", "j& c #6A7177", "k& c #656E74", "l& c #6D7378", "m& c #918A84", "n& c #A29287", "o& c #A59489", "p& c #9A938C", "q& c #8B8580", "r& c #948882", "s& c #9A8981", "t& c #95837B", "u& c #87817F", "v& c #817F7D", "w& c #807E7D", "x& c #7B7A7A", "y& c #767576", "z& c #A89786", "A& c #A39485", "B& c #9F9186", "C& c #938A82", "D& c #8D8781", "E& c #C7CAD3", "F& c #E4E6E8", "G& c #C6C8CB", "H& c #D9DADB", "I& c #CBCCCC", "J& c #D7D7D6", "K& c #D8D8D7", "L& c #D6D6D6", "M& c #D1D2D1", "N& c #6D757C", "O& c #68737A", "P& c #687078", "Q& c #898787", "R& c #A1928A", "S& c #AC9B8E", "T& c #B09E8D", "U& c #C3AB95", "V& c #BDA38E", "W& c #BEA08A", "X& c #AE9482", "Y& c #A89489", "Z& c #938781", "`& c #8C8684", " * c #8D8785", ".* c #998D85", "+* c #A49689", "@* c #A69687", "#* c #AA9C8E", "$* c #A7998B", "%* c #9A9188", "&* c #918C86", "** c #8C8885", "=* c #C9C9D4", "-* c #E8E7ED", ";* c #E0E0E7", ">* c #EAEAED", ",* c #ECEBED", "'* c #FEFCFE", ")* c #F9F7F9", "!* c #FAF9FA", "~* c #6D767D", "{* c #6B7880", "]* c #6D7A82", "^* c #7F8287", "/* c #958E8A", "(* c #A89A91", "_* c #B2A08F", ":* c #BEA792", "<* c #B4A191", "[* c #AB978A", "}* c #9F8D83", "|* c #9C8D85", "1* c #978D89", "2* c #8F8987", "3* c #958F8A", "4* c #A2978E", "5* c #A3978D", "6* c #A59A90", "7* c #A1968C", "8* c #979089", "9* c #8F8C88", "0* c #878684", "a* c #D1D3DE", "b* c #F5F1F4", "c* c #E8E6E8", "d* c #EFEFEF", "e* c #EFEFF0", "f* c #E8E8E9", "g* c #E6E6E7", "h* c #727A82", "i* c #6B7780", "j* c #6D7A81", "k* c #717B83", "l* c #838487", "m* c #9A928E", "n* c #AC9E95", "o* c #B6A594", "p* c #B3A494", "q* c #9F958D", "r* c #918B8A", "s* c #8E8C8C", "t* c #8F8C8C", "u* c #908B88", "v* c #94908B", "w* c #97928C", "x* c #97918A", "y* c #9C958E", "z* c #9F9792", "A* c #97918D", "B* c #92918D", "C* c #8A8988", "D* c #828183", "E* c #CFD2DC", "F* c #EEECED", "G* c #DFDDDF", "H* c #EBEBEB", "I* c #E1E2E1", "J* c #EBEBEA", "K* c #D5CACA", "L* c #E2D8D6", "M* c #727C84", "N* c #737D86", "O* c #707C84", "P* c #6F7A82", "Q* c #777F87", "R* c #8E8D8F", "S* c #A49993", "T* c #B4A69A", "U* c #BFAA98", "V* c #C2AB97", "W* c #B9A595", "X* c #B4A49A", "Y* c #AA9F98", "Z* c #A09790", "`* c #9A948D", " = c #9A9590", ".= c #9B9792", "+= c #9D9894", "@= c #979390", "#= c #92918F", "$= c #8A898A", "%= c #858688", "&= c #7F8285", "*= c #B7BAC3", "== c #FCF8F7", "-= c #EFEDEC", ";= c #EEDFDD", ">= c #DABCBC", ",= c #C5A9A3", "'= c #CDC4BB", ")= c #CCB0A7", "!= c #E5D3D0", "~= c #737C85", "{= c #778089", "]= c #737F88", "^= c #6F7B84", "/= c #707E87", "(= c #81878F", "_= c #989394", ":= c #B4A59C", "<= c #C7AF9D", "[= c #CFB39E", "}= c #D2B6A1", "|= c #CAB39F", "1= c #B7A79A", "2= c #ACA197", "3= c #A29994", "4= c #9C9895", "5= c #9C9A99", "6= c #8E8D8E", "7= c #8E8F90", "8= c #87888B", "9= c #818388", "0= c #86898E", "a= c #C6CAD5", "b= c #F7F7F7", "c= c #EEEEEE", "d= c #ECEEE6", "e= c #E2EADF", "f= c #E5EAE4", "g= c #F8FEF8", "h= c #EEF3ED", "i= c #E4E9DC", "j= c #797F89", "k= c #7F858E", "l= c #76808B", "m= c #728089", "n= c #7C8992", "o= c #7E8A94", "p= c #898C94", "q= c #A69B97", "r= c #C4AF9F", "s= c #CBB29E", "t= c #CCB3A1", "u= c #C1AD9E", "v= c #B2A49B", "w= c #AAA19C", "x= c #A5A09D", "y= c #9D9998", "z= c #969495", "A= c #919194", "B= c #929296", "C= c #8C8E93", "D= c #888B92", "E= c #888B8F", "F= c #83868B", "G= c #CBCEDA", "H= c #E9E9E9", "I= c #FDFDFD", "J= c #F5F5F5", "K= c #FEFEFE", "L= c #F4F4F4", "M= c #FEFEFD", "N= c #79808A", "O= c #7F8590", "P= c #77828C", "Q= c #788490", "R= c #818E98", "S= c #808D97", "T= c #76808A", "U= c #909096", "V= c #B2A4A1", "W= c #B5A397", "X= c #B9A9A0", "Y= c #B3A6A0", "Z= c #A9A09E", "`= c #A29E9C", " - c #9A9798", ".- c #909196", "+- c #8E8F95", "@- c #81858B", "#- c #8C9096", "$- c #85898F", "%- c #8B8F95", "&- c #CCCFD8", "*- c #F7F5F1", "=- c #F0EDE9", "-- c #F8F6F2", ";- c #EDEBE6", ">- c #F8F6F1", ",- c #ECEBE6", "'- c #7C8690", ")- c #78838F", "!- c #7B8791", "~- c #7D8A95", "{- c #7B8793", "]- c #838F9B", "^- c #818890", "/- c #909095", "(- c #9D9493", "_- c #A09A9B", ":- c #9E999A", "<- c #989699", "[- c #949398", "}- c #8D8F95", "|- c #8A8E95", "1- c #898D95", "2- c #85898E", "3- c #858A90", "4- c #878B95", "5- c #898D96", "6- c #888C95", "7- c #CACCD5", "8- c #F8F3EF", "9- c #F6F4F0", "0- c #E4E6E6", "a- c #EFF2F4", "b- c #E1E1E2", "c- c #D7DBDD", "d- c #E6EBEA", "e- c #7F8996", "f- c #7D8894", "g- c #788390", "h- c #788491", "i- c #7B8994", "j- c #84919F", "k- c #84929E", "l- c #808C97", "m- c #77808A", "n- c #858891", "o- c #8C8E98", "p- c #8D9098", "q- c #898C96", "r- c #8D909A", "s- c #8B8E99", "t- c #898F99", "u- c #8E919B", "v- c #878B94", "w- c #868A93", "x- c #888C98", "y- c #888E99", "z- c #7F8691", "A- c #C3CAD6", "B- c #E3E5E7", "C- c #EEF0F2", "D- c #EBEDEF", "E- c #E5ECF1", "F- c #E2EBF1", "G- c #DCE2E9", "H- c #DEE4EB", "I- c #D8DFE5", " . + @ # $ % & * = - ; > , ' ) ! ~ { ] ^ / ( _ : < [ } | 1 2 3 ", "4 5 6 7 8 9 0 a b c d e f g h i j k l m n o p q r _ s t u v w x ", "y z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z ` ...+.", "@.#.$.%.&.*.=.-.;.>.,.'.).!.~.{.! ].^./.(._.:.<.[.}.|.1.2.3.4.5.", "6.7.8.9.0.a.b.c.d.e.f.g.h.i.j.k.l.m.n.o.p.q.r.s.t.u.v.w.x.y.z.A.", "B.C.D.E.F.G.H.I.J.K.L.M.N.O.P.Q.R.S.T.U.V.R.W.X.Y.Z.`. +.+++@+#+", "$+%+&+*+=+-+;+>+,+'+)+!+~+U {+]+^+/+(+_+m.:+<+[+}+|+1+2+3+4+5+9.", "6+7+8+9+0+a+b+c+d+e+f+g+h+i+j+k+l+m+n+o+%+p+q+r+s+t+u+-+v+w+x+y+", "z+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+V+W+X+Y+Z+`+W+ @.@+@", "@@#@$@%@&@*@=@-@;@>@,@'@)@!@~@{@]@^@/@(@_@:@<@[@}@|@1@2@3@4@5@6@", "7@8@9@0@a@b@c@d@e@f@g@h@i@j@k@l@m@n@o@p@q@r@s@t@u@v@w@x@y@z@A@B@", "C@D@E@F@G@H@I@J@K@L@M@N@O@P@Q@R@S@T@U@V@W@X@Y@Z@`@ #.#+#@###$#%#", "&#*#=#-#;#>#,#'#)#!#~#{#]#^#/#(#_#:#<#[#}#|#1#2#3#4#5#6#7#8#9#0#", "a#b#c#d#e#f#g#h#i#j#k#l#m#n#o#p#q#r#s#t#u#v#w#x#y#z#A#B#C#D#E#F#", "G#H#I#J#K#L#M#N#O#P#Q#R#S#T#T#U#V#W#X#Y#Z#`# $.$+$@$#$$$%$&$*$=$", "-$;$>$,$'$`#)$!$~${$]$^$/$($_$:$<$[$}$|$1$2$3$4$5$6$7$8$9$0$a$b$", "c$d$e$f$g$h$i$j$k$l$m$n$o$p$q$r$s$t$u$v$w$x$y$z$A$7$B$C$D$E$F$G$", "H$I$J$K$L$M$N$O$P$Q$R$S$T$U$V$W$X$Y$Z$`$ %.%+%@%#%$%%%&%*%=%-%;%", ">%,%'%)%!%~%{%]%^%/%(%_%:%<%[%}%|%1%2%3%4%5%6%7%8%9%0%a%b%c%d%e%", "f%g%h%i%j%k%l%m%n%o%p%q%r%s%t%u%v%w%x%y%z%A%B%C%D%E%F%G%H%I%J%K%", "L%M%N%O%P%Q%R%S%T%U%V%W%X%Y%Z%`% &.&+&@&#&$&%&&&*&=&-&;&>&,&'&)&", "!&~&{&]&^&/&(&_&:&<&[&}&|&1&2&3&4&5&6&7&8&9&0&a&b&c&d&e&f&g&h&i&", "j&k&l&m&n&o&p&q&r&s&t&u&v&w&x&y&q&6&z&A&B&C&D&E&F&G&H&I&J&K&L&M&", "N&O&P&Q&R&S&T&U&V&W&X&Y&Z&`& *.*+*@*#*$*%*&***=*-*;*>*,*'*'*)*!*", "~*{*]*^*/*(*_*:*<*[*}*|*1*2*3*%*4*5*6*7*8*9*0*a*b*c*d*e*f*e*g*d*", "h*i*j*k*l*m*n*o*p*q*r*s*t*u*v*w*x*y*z*A*B*C*D*E*F*G*H*H*I*J*K*L*", "M*N*O*P*Q*R*S*T*U*V*W*X*Y*Z*`* =.=+=@=#=$=%=&=*===-=;=>=,='=)=!=", "~={=]=^=/=(=_=:=<=[=}=|=1=2=3=+=4=5=6=7=8=9=0=a=b=c=d=e=f=g=h=i=", "j=k=l=m=n=o=p=q=r=s=t=u=v=w=x=y=z=A=B=C=D=E=F=G=b=H=I=I=J=K=L=M=", "N=O=P=Q=R=S=T=U=V=W=X=Y=Z=`= -A=.-+-D=@-#-$-%-&-*-=-----;->-,->-", "'-)-!-~-{-]-{-^-/-(-_-:-<-[-}-|-1-2-3-4-5-6-k=7-8-9-9-0-a-b-c-d-", "e-f-g-h-i-j-k-l-m-n-o-p-q-r-s-t-u-v-s-w-x-y-z-A-B-C-D-E-F-G-H-I-"}; PyMca5-5.2.2/package/desktop/peakidentifier.desktop0000644000276300001750000000046713203352103022344 0ustar solebliss00000000000000[Desktop Entry] Version=1.0 Name=Peakidentifier Name[en_GB]=Peakidentifier GenericName=Find the energy of X-ray spectral lines GenericName[en_GB]=Find the energy of X-ray spectral lines Type=Application Exec=peakidentifier Icon=/usr/share/pixmaps/pymca.xpm Terminal=false Categories=Science;Education;Physics; PyMca5-5.2.2/package/desktop/elementsinfo.desktop0000644000276300001750000000045413203352103022045 0ustar solebliss00000000000000[Desktop Entry] Version=1.0 Name=Elementsinfo Name[en_GB]=Elementsinfo GenericName=Display X-ray information on elements GenericName[en_GB]=Display X-ray information on elements Type=Application Exec=elementsinfo Icon=/usr/share/pixmaps/pymca.xpm Terminal=false Categories=Science;Education;Physics; PyMca5-5.2.2/package/desktop/pymca.desktop0000644000276300001750000000046613203352103020471 0ustar solebliss00000000000000[Desktop Entry] Version=1.0 Name=PyMCA Name[en_GB]=PyMCA GenericName=X-ray Fluorescence Data-Analysis GenericName[en_GB]=X-ray Fluorescence Data-Analysis Comment=Analyse X-ray Fluorescence data Type=Application Exec=pymca Icon=/usr/share/pixmaps/pymca.xpm Terminal=false Categories=Science;Education;Physics; PyMca5-5.2.2/cx_setup.py0000644000276300001750000004446213205526205015141 0ustar solebliss00000000000000# # These Python module have been developed by V.A. Sole, from the European # Synchrotron Radiation Facility (ESRF) to build a frozen version of PyMca. # Given the nature of this work, these module can be considered public domain. # Therefore redistribution and use in source and binary forms, with or without # modification, are permitted provided the following disclaimer is accepted: # # # THIS SOFTWARE IS PROVIDED BY THE AUTHOR(S) AND THE ESRF ``AS IS'' AND ANY # EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED # WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE AUTHOR(S) AND/OR THE ESRF BE LIABLE FOR ANY # DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES # (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND # ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # # A cx_freeze setup script to create PyMca executables # # Use "python cx_setup.py install" # # It expects a properly configured compiler. # # Under windows you may need to set MINGW = True (untested) if you are # not using VS2003 (python 2.5) or VS2008 (python > 2.5) # # If everything works well one should find a directory in the build # directory that contains the files needed to run the PyMca without Python # from cx_Freeze import setup, Executable import sys import os import glob import cx_Freeze.hooks as _hooks MINGW = False DEBUG = False def load_PyQt4_Qt(finder, module): """the PyQt4.Qt module is an extension module which imports a number of other modules and injects their namespace into its own. It seems a foolish way of doing things but perhaps there is some hidden advantage to this technique over pure Python; ignore the absence of some of the modules since not every installation includes all of them.""" try: #This modules does not seem to be always present finder.IncludeModule("PyQt4._qt") except ImportError: pass finder.IncludeModule("PyQt4.QtCore") finder.IncludeModule("PyQt4.QtGui") finder.IncludeModule("sip") for name in ("PyQt4.QtSvg", "PyQt4.Qsci", "PyQt4.QtAssistant", "PyQt4.QtNetwork", "PyQt4.QtOpenGL", "PyQt4.QtScript", "PyQt4.QtSql", "PyQt4.QtSvg", "PyQt4.QtTest", "PyQt4.QtXml"): try: finder.IncludeModule(name) except ImportError: pass _hooks.load_PyQt4_Qt = load_PyQt4_Qt PyMcaInstallationDir = "build" if sys.platform != "windows": PyMcaDir = os.path.join(PyMcaInstallationDir, "PyMca5").replace(" ","_") else: PyMcaDir =os.path.join(PyMcaInstallationDir, "PyMca5") #make sure PyMca is freshly built if sys.platform == 'win32': if MINGW: # MinGW compiler needs two steps cmd = "python setup.py build -c mingw32 --distutils" if os.system(cmd): print("Error building PyMca") sys.exit(1) cmd = "python setup.py install --install-lib %s --install-data %s --distutils" % \ (PyMcaInstallationDir, PyMcaInstallationDir) if os.system(cmd): print("Error building PyMca") sys.exit(1) # PyMca expected to be properly installed include_files = [] # this is critical for Qt to find image format plugins include_files.append(("qtconffile", "qt.conf")) # Add the qt plugins directory import PyQt4.Qt as qt app = qt.QApplication([]) pluginsDir = str(qt.QLibraryInfo.location(qt.QLibraryInfo.PluginsPath)) for pluginSet in glob.glob(os.path.join(pluginsDir,'*')): plugin = os.path.basename(pluginSet) if plugin in ["imageformats"]: if sys.platform == 'win32': ext = "*dll" else: if sys.platform.startswith("darwin"): print("WARNING: Not ready for this platform") #for darwin platform I use py2app #this only applies to linux ext = "*so" destination = os.path.join("plugins", plugin) fList = glob.glob(os.path.join(pluginSet,ext)) for f in fList: include_files.append((f, os.path.join(destination,os.path.basename(f)))) #I should use somehow absolute import ... sys.path = [PyMcaInstallationDir] + sys.path[1:] import ctypes import OpenGL from PyMca5 import Object3D OBJECT3D = True try: import scipy SCIPY = True if DEBUG: print("ADDING SciPy DOUBLES THE SIZE OF THE DOWNLOADABLE PACKAGE...") except: SCIPY = False # For the time being I leave SciPy out SCIPY = False try: import matplotlib MATPLOTLIB = True except ImportError: MATPLOTLIB = False try: import pyopencl OPENCL = True from PyMca5.PyMcaMath import sift except : OPENCL = False if sys.platform.lower().startswith("linux"): # no sense to freeze OPENCL = False try: import mdp MDP = True except ImportError: MDP = False H5PY_SPECIAL = False import h5py if h5py.version.version < '1.2.0': includes = ['h5py._extras'] elif h5py.version.version < '1.3.0': includes = ['h5py._stub', 'h5py._sync', 'h5py.utils'] elif h5py.version.version < '2.0.0': includes = ['h5py._extras', 'h5py._stub', 'h5py.utils', 'h5py._conv', 'h5py._proxy'] else: H5PY_SPECIAL = True includes = [] try: import fisx FISX = True except ImportError: print("Please install fisx module prior to freeze PyMca") FISX = False raise try: import hdf5plugin except ImportError: pass #some standard encodings includes.append('encodings.ascii') includes.append('encodings.utf_8') includes.append('encodings.latin_1') import PyMca5 special_modules = [os.path.dirname(PyMca5.__file__), os.path.dirname(ctypes.__file__)] if sys.platform == "win32": try: import hdf5plugin special_modules.append(os.path.dirname(hdf5plugin.__file__)) except ImportError: print("Please install hdf5plugin prior to freeze PyMca") raise import silx special_modules.append(os.path.dirname(silx.__file__)) SILX = True excludes = ["Tkinter", "tkinter", 'tcl','_tkagg', 'Tkconstants', "scipy", "Numeric", "numarray"] try: import IPython if IPython.__version__.startswith('2'): special_modules.append(os.path.dirname(IPython.__file__)) includes.append("colorsys") import pygments special_modules.append(os.path.dirname(pygments.__file__)) import zmq special_modules.append(os.path.dirname(zmq.__file__)) import pygments #includes.append("IPython") #includes.append("IPython.qt") #includes.append("IPython.qt.console") #includes.append("IPython.qt.console.rich_ipython_widget") #includes.append("IPython.qt.inprocess") #includes.append("IPython.lib") except ImportError: print("Console plugin not available") pass if sys.version < '3.0': #https://bitbucket.org/anthony_tuininga/cx_freeze/issues/127/collectionssys-error excludes.append("collections.abc") if H5PY_SPECIAL: special_modules.append(os.path.dirname(h5py.__file__)) if OPENCL: special_modules.append(os.path.dirname(pyopencl.__file__)) includes.append("pytools") includes.append("decorator") else: excludes.append("pyopencl") if MDP: #mdp versions above 2.5 need special treatment if mdp.__version__ > '2.5': special_modules.append(os.path.dirname(mdp.__file__)) if MATPLOTLIB: special_modules.append(os.path.dirname(matplotlib.__file__)) if SCIPY: special_modules.append(os.path.dirname(scipy.__file__)) if OBJECT3D: includes.append("logging") excludes.append("OpenGL") special_modules.append(os.path.dirname(OpenGL.__file__)) if FISX: special_modules.append(os.path.dirname(fisx.__file__)) for f in special_modules: include_files.append((f, os.path.basename(f))) for f in ['qt', 'qttable', 'qtcanvas', 'Qwt5']: excludes.append(f) buildOptions = dict( compressed = True, include_files = include_files, excludes = excludes, includes = includes, #includes = ["scipy.interpolate", "scipy.linalg"] #optimize=2, #packages = packages, #includes = ["Object3D"], #path = [PyMcaDir] + sys.path ) install_dir = PyMcaDir + " " + PyMca5.version() if not sys.platform.startswith('win'): install_dir = install_dir.replace(" ","") if os.path.exists(install_dir): try: def dir_cleaner(directory): for f in glob.glob(os.path.join(directory,'*')): if os.path.isfile(f): try: os.remove(f) except: print("file <%s> not deleted" % f) if os.path.isdir(f): dir_cleaner(f) try: os.rmdir(directory) except: print("directory ", directory, "not deleted") dir_cleaner(install_dir) except: print("Unexpected error:", sys.exc_info()) pass if os.path.exists('bin'): for f in glob.glob(os.path.join('bin','*')): os.remove(f) os.rmdir('bin') installOptions = dict( install_dir= install_dir, ) exec_list = {"PyMcaMain": os.path.join(PyMcaDir, "PyMcaGui", \ "pymca", "PyMcaMain.py"), "PyMcaBatch": os.path.join(PyMcaDir, "PyMcaGui", \ "pymca", "PyMcaBatch.py"), "QStackWidget":os.path.join(PyMcaDir, "PyMcaGui", \ "pymca", "QStackWidget.py"), "PeakIdentifier":os.path.join(PyMcaDir, "PyMcaGui", \ "physics", "xrf", "PeakIdentifier.py"), "EdfFileSimpleViewer": os.path.join(PyMcaDir, "PyMcaGui", \ "pymca", "EdfFileSimpleViewer.py"), "PyMcaPostBatch": os.path.join(PyMcaDir, "PyMcaGui", \ "pymca", "PyMcaPostBatch.py"), "Mca2Edf": os.path.join(PyMcaDir, "PyMcaGui", \ "pymca", "Mca2Edf.py"), "ElementsInfo":os.path.join(PyMcaDir, "PyMcaGui", \ "physics", "xrf", "ElementsInfo.py"), } for f in list(exec_list.keys()): executable = os.path.join(install_dir, f) if os.path.exists(executable): os.remove(executable) executables = [] for key in exec_list: icon = None # this allows to map a different icon to each executable if sys.platform.startswith('win'): if key in ["PyMcaMain", "QStackWidget"]: icon = os.path.join(os.path.dirname(__file__), "icons", "PyMca.ico") python_module = exec_list[key] executables.append(Executable(python_module, icon=icon)) setup( name = "PyMca5", version = PyMca5.version(), description = "PyMca %s" % PyMca5.version(), options = dict(build_exe = buildOptions, install_exe = installOptions ), executables = executables) if SILX: # silx gui._qt module needs to be patched to get rid of uic initFile = os.path.join(install_dir, "silx", "gui", "qt", "_qt.py") print("###################################################################") print(initFile) print("###################################################################") f = open(initFile, "r") content = f.readlines() f.close() f = open(initFile, "w") for line in content: if ("PyQt4.uic" in line) or ("PyQt5.uic" in line): continue f.write(line) f.close() if OPENCL: # pyopencl __init__.py needs to be patched initFile = os.path.join(install_dir, "pyopencl", "__init__.py") f = open(initFile, "r") content = f.readlines() f.close() i = 0 i0 = 0 for line in content: if "def _find_pyopencl_include_path():" in line: i0 = i - 1 elif (i0 != 0) and ("}}}" in line): i1 = i break i += 1 f = open(initFile, "w") for i in range(0, i0): f.write(content[i]) txt ='\n' txt +='def _find_pyopencl_include_path():\n' txt +=' from os.path import dirname, join, realpath\n' txt +=" return '\"%s\"' % join(realpath(dirname(__file__)), \"cl\")" txt +="\n" txt +="\n" f.write(txt) for line in content[i1:]: f.write(line) f.close() if not sys.platform.startswith('win'): #rename the executables to .exe for easier handling by the start scripts for f in exec_list: executable = os.path.join(install_dir, f) if os.path.exists(executable): os.rename(executable, executable+".exe") #create the start script text = "#!/bin/bash\n" text += 'if test -e "./%s.exe"; then\n' % f text += ' export LD_LIBRARY_PATH=./:${LD_LIBRARY_PATH}\n' text += ' exec ./%s.exe $*\n' % f text += 'else\n' text += ' if test -z "${PYMCAHOME}" ; then\n' text += ' thisdir=`dirname $0` \n' text += ' export PYMCAHOME=${thisdir}\n' text += ' fi\n' text += ' export LD_LIBRARY_PATH=${PYMCAHOME}:${LD_LIBRARY_PATH}\n' text += ' exec ${PYMCAHOME}/%s.exe $*\n' % f text += 'fi\n' nfile = open(executable,'w') nfile.write(text) nfile.close() os.system("chmod 775 %s" % executable) #generate the lowercase commands if f == "PyMcaMain": os.system("cp -f %s %s" % (executable, os.path.join(install_dir, 'pymca'))) elif f == "QStackWidget": os.system("cp -f %s %s" % (executable, os.path.join(install_dir, 'pymcaroitool'))) elif f == "EdfFileSimpleViewer": os.system("cp -f %s %s" % (executable, os.path.join(install_dir, 'edfviewer'))) else: os.system("cp -f %s %s" % (executable, os.path.join(install_dir, f.lower()))) if f == "PyMcaPostBatch": os.system("cp -f %s %s" % (executable, os.path.join(install_dir, 'rgbcorrelator'))) #cleanup for f in glob.glob(os.path.join(os.path.dirname(__file__),"PyMca5", "*.pyc")): os.remove(f) if not sys.platform.startswith('win'): #Unix binary ... for dirname in ['/lib','/usr/lib', '/usr/X11R6/lib/']: for fname0 in ["libreadline.so.4", "libgthread-2.0.so.0", "libglib-2.0.so.0", "libpng12.so.0", "libfreetype.so.6", "libXrender.so.1", "libXxf86vm.so.1", "libfontconfig.so.1", "libexpat.so.0", ]: fname = os.path.join(dirname, fname0) if os.path.exists(fname): cmd = "cp -f %s %s" % (fname, os.path.join(install_dir, fname0)) os.system(cmd) #numpy is now compiled with libgfortran at the ESRF for fname in glob.glob(os.path.join(dirname, "libgfortra*")): if os.path.exists(fname): cmd = "cp -f %s %s" % (fname, os.path.join(install_dir, os.path.basename(fname))) os.system(cmd) #remove libX of the packaging system to use that of the target system #for fname in glob.glob(os.path.join(install_dir,"libX*")): # os.remove(fname) #remove libfontconfig.so of the package in order to use the one in the target system #for fname in glob.glob(os.path.join(install_dir,"libfontconf*")): # os.remove(fname) #end linux binary # check if the library has been created library = os.path.join(install_dir,"library.zip") if not os.path.exists(library): print("PROBLEM") print("Cannot find zipped library: ") print(library) print("Please use python cx_setup.py install") else: if DEBUG: print("NO PROBLEM") if os.path.exists('bin'): for f in glob.glob(os.path.join('bin','*')): os.remove(f) os.rmdir('bin') if not SCIPY: for f in ["SplinePlugins.py"]: plugin = os.path.join(install_dir, "PyMcaPlugins", f) if os.path.exists(plugin): print("Deleting plugin %s" % plugin) os.remove(plugin) sys.exit(0) ########################## WHAT FOLLOWS IS UNUSED CODE ################ # # # I was using it to add undetected modules to library.zip # # # # It might be needed in the future. Code kept here as "backup". # # # ####################################################################### #Add modules to library.zip import zipfile zf = zipfile.ZipFile(library, mode='a') PY_COUNTER = 0 PYC_COUNTER = 0 SKIP_PYC = False SKIP_PY = True def addToZip(zf, path, zippath, full=False): global PY_COUNTER global PYC_COUNTER if os.path.basename(path).upper().endswith("HTML"): if DEBUG: print("NOT ADDING", path) if not full: return if path.upper().endswith(".PYC"): PYC_COUNTER += 1 if SKIP_PYC: if not full: if DEBUG: print("NOT ADDING", path) return if path.upper().endswith(".PY"): PY_COUNTER += 1 if SKIP_PY: if not full: if DEBUG: print("NOT ADDING", path) return if os.path.isfile(path): zf.write(path, zippath, zipfile.ZIP_DEFLATED) elif os.path.isdir(path): if not os.path.basename(path).upper().startswith("PLUGIN"): for nm in os.listdir(path): addToZip(zf, os.path.join(path, nm), os.path.join(zippath, nm)) else: if DEBUG: print("NOT ADDING", path) addToZip(zf, PyMcaDir, os.path.basename(PyMcaDir), full=False) #if PY_COUNTER > PYC_COUNTER: # print "WARNING: More .py files than .pyc files. Check cx_setup.py" if PY_COUNTER < PYC_COUNTER: print("WARNING: More .pyc files than .py files. Check cx_setup.py") PyMca5-5.2.2/MANIFEST.in0000644000276300001750000000425213203352503014460 0ustar solebliss00000000000000include MANIFEST.in include LICENSE include LICENSE.MIT include LICENSE.GPL include LICENSE.LGPL include changelog.txt include qtconffile include cx_setup.py include py2app_setup.py include PlatypusScript include README include build-deb.sh include version.py include copyright recursive-include doc *.py *.rst recursive-include doc/man *.1 recursive-include icons *.icns *.ico *_256x256.png recursive-include PyMca5/EPDL97 *.DAT include PyMca5/EPDL97/LICENSE recursive-include PyMca5/Object3D/doc *.py recursive-include PyMca5/Object3D/Object3DQhull *.py *.c *.pyx *.pxd *.pxi recursive-include PyMca5/Object3D/Object3DCTools *.py *.c *.cpp recursive-include PyMca5/Object3D/scripts *.py include PyMca5/Object3D/LICENSE.LGPL include PyMca5/Object3D/qtconffile include PyMca5/Object3D/README.txt include PyMca5/Object3D/scripts/ob_scene recursive-include PyMca5/PyMca *.py recursive-include PyMca5/PyMcaCore *.py recursive-include PyMca5/PyMcaData *.dict *.dat *.cfg *.png *.mat *.html *.pdf *.xml *.gif *.wmz *.mso *.DICT *.TXT *.lib *.mca recursive-include PyMca5/PyMcaGraph *.py *.pyx *.pxd *.c *.h recursive-include PyMca5/PyMcaGui *.py recursive-include PyMca5/PyMcaIO *.py *.c *.h *.in include PyMca5/PyMcaIO/sps/LICENSE recursive-include PyMca5/PyMcaMath *.py *.c *.cl include PyMca5/PyMcaMath/mva/py_nnma/LICENSE include PyMca5/PyMcaMath/mva/py_nnma/README include PyMca5/PyMcaMath/PyMcaSciPy/signal/LICENSE.txt recursive-include PyMca5/PyMcaMisc *.py recursive-include PyMca5/PyMcaPhysics *.py recursive-include PyMca5/PyMcaPhysics/xas *.pyx *.pxd *.c *.h recursive-include PyMca5/PyMcaPlugins *.py recursive-include PyMca5/scripts * recursive-include PyMca5/tests *.py recursive-include third-party/qhull *.c *.h *.txt recursive-include third-party/khronos_headers *.h include third-party/fisx/changelog.txt include third-party/fisx/LICENSE include third-party/fisx/MANIFEST.in include third-party/fisx/README.rst include third-party/fisx/setup.py include third-party/fisx/TODO recursive-include third-party/fisx/fisx_data *.dat recursive-include third-party/fisx/python *.py *.pyx *.pxd *.cpp recursive-include third-party/fisx/src *.h *.cpp recursive-include scripts *.py *.bat recursive-include package * PyMca5-5.2.2/LICENSE.LGPL0000644000276300001750000005656713136054446014516 0ustar solebliss00000000000000 GNU LESSER GENERAL PUBLIC LICENSE Version 2.1, February 1999 Copyright (C) 1991, 1999 Free Software Foundation, Inc. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. [This is the first released version of the Lesser GPL. It also counts as the successor of the GNU Library Public License, version 2, hence the version number 2.1.] Preamble The licenses for most software are designed to take away your freedom to share and change it. By contrast, the GNU General Public Licenses are intended to guarantee your freedom to share and change free software--to make sure the software is free for all its users. This license, the Lesser General Public License, applies to some specially designated software packages--typically libraries--of the Free Software Foundation and other authors who decide to use it. You can use it too, but we suggest you first think carefully about whether this license or the ordinary General Public License is the better strategy to use in any particular case, based on the explanations below. When we speak of free software, we are referring to freedom of use, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for this service if you wish); that you receive source code or can get it if you want it; that you can change the software and use pieces of it in new free programs; and that you are informed that you can do these things. To protect your rights, we need to make restrictions that forbid distributors to deny you these rights or to ask you to surrender these rights. These restrictions translate to certain responsibilities for you if you distribute copies of the library or if you modify it. For example, if you distribute copies of the library, whether gratis or for a fee, you must give the recipients all the rights that we gave you. You must make sure that they, too, receive or can get the source code. If you link other code with the library, you must provide complete object files to the recipients, so that they can relink them with the library after making changes to the library and recompiling it. And you must show them these terms so they know their rights. We protect your rights with a two-step method: (1) we copyright the library, and (2) we offer you this license, which gives you legal permission to copy, distribute and/or modify the library. To protect each distributor, we want to make it very clear that there is no warranty for the free library. Also, if the library is modified by someone else and passed on, the recipients should know that what they have is not the original version, so that the original author's reputation will not be affected by problems that might be introduced by others. Finally, software patents pose a constant threat to the existence of any free program. We wish to make sure that a company cannot effectively restrict the users of a free program by obtaining a restrictive license from a patent holder. Therefore, we insist that any patent license obtained for a version of the library must be consistent with the full freedom of use specified in this license. Most GNU software, including some libraries, is covered by the ordinary GNU General Public License. This license, the GNU Lesser General Public License, applies to certain designated libraries, and is quite different from the ordinary General Public License. We use this license for certain libraries in order to permit linking those libraries into non-free programs. When a program is linked with a library, whether statically or using a shared library, the combination of the two is legally speaking a combined work, a derivative of the original library. The ordinary General Public License therefore permits such linking only if the entire combination fits its criteria of freedom. The Lesser General Public License permits more lax criteria for linking other code with the library. We call this license the "Lesser" General Public License because it does Less to protect the user's freedom than the ordinary General Public License. It also provides other free software developers Less of an advantage over competing non-free programs. These disadvantages are the reason we use the ordinary General Public License for many libraries. However, the Lesser license provides advantages in certain special circumstances. For example, on rare occasions, there may be a special need to encourage the widest possible use of a certain library, so that it becomes a de-facto standard. To achieve this, non-free programs must be allowed to use the library. A more frequent case is that a free library does the same job as widely used non-free libraries. In this case, there is little to gain by limiting the free library to free software only, so we use the Lesser General Public License. In other cases, permission to use a particular library in non-free programs enables a greater number of people to use a large body of free software. For example, permission to use the GNU C Library in non-free programs enables many more people to use the whole GNU operating system, as well as its variant, the GNU/Linux operating system. Although the Lesser General Public License is Less protective of the users' freedom, it does ensure that the user of a program that is linked with the Library has the freedom and the wherewithal to run that program using a modified version of the Library. The precise terms and conditions for copying, distribution and modification follow. Pay close attention to the difference between a "work based on the library" and a "work that uses the library". The former contains code derived from the library, whereas the latter must be combined with the library in order to run. TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION 0. This License Agreement applies to any software library or other program which contains a notice placed by the copyright holder or other authorized party saying it may be distributed under the terms of this Lesser General Public License (also called "this License"). Each licensee is addressed as "you". A "library" means a collection of software functions and/or data prepared so as to be conveniently linked with application programs (which use some of those functions and data) to form executables. The "Library", below, refers to any such software library or work which has been distributed under these terms. A "work based on the Library" means either the Library or any derivative work under copyright law: that is to say, a work containing the Library or a portion of it, either verbatim or with modifications and/or translated straightforwardly into another language. (Hereinafter, translation is included without limitation in the term "modification".) "Source code" for a work means the preferred form of the work for making modifications to it. For a library, complete source code means all the source code for all modules it contains, plus any associated interface definition files, plus the scripts used to control compilation and installation of the library. Activities other than copying, distribution and modification are not covered by this License; they are outside its scope. The act of running a program using the Library is not restricted, and output from such a program is covered only if its contents constitute a work based on the Library (independent of the use of the Library in a tool for writing it). Whether that is true depends on what the Library does and what the program that uses the Library does. 1. You may copy and distribute verbatim copies of the Library's complete source code as you receive it, in any medium, provided that you conspicuously and appropriately publish on each copy an appropriate copyright notice and disclaimer of warranty; keep intact all the notices that refer to this License and to the absence of any warranty; and distribute a copy of this License along with the Library. You may charge a fee for the physical act of transferring a copy, and you may at your option offer warranty protection in exchange for a fee. 2. You may modify your copy or copies of the Library or any portion of it, thus forming a work based on the Library, and copy and distribute such modifications or work under the terms of Section 1 above, provided that you also meet all of these conditions: a) The modified work must itself be a software library. b) You must cause the files modified to carry prominent notices stating that you changed the files and the date of any change. c) You must cause the whole of the work to be licensed at no charge to all third parties under the terms of this License. d) If a facility in the modified Library refers to a function or a table of data to be supplied by an application program that uses the facility, other than as an argument passed when the facility is invoked, then you must make a good faith effort to ensure that, in the event an application does not supply such function or table, the facility still operates, and performs whatever part of its purpose remains meaningful. (For example, a function in a library to compute square roots has a purpose that is entirely well-defined independent of the application. Therefore, Subsection 2d requires that any application-supplied function or table used by this function must be optional: if the application does not supply it, the square root function must still compute square roots.) These requirements apply to the modified work as a whole. If identifiable sections of that work are not derived from the Library, and can be reasonably considered independent and separate works in themselves, then this License, and its terms, do not apply to those sections when you distribute them as separate works. But when you distribute the same sections as part of a whole which is a work based on the Library, the distribution of the whole must be on the terms of this License, whose permissions for other licensees extend to the entire whole, and thus to each and every part regardless of who wrote it. Thus, it is not the intent of this section to claim rights or contest your rights to work written entirely by you; rather, the intent is to exercise the right to control the distribution of derivative or collective works based on the Library. In addition, mere aggregation of another work not based on the Library with the Library (or with a work based on the Library) on a volume of a storage or distribution medium does not bring the other work under the scope of this License. 3. You may opt to apply the terms of the ordinary GNU General Public License instead of this License to a given copy of the Library. To do this, you must alter all the notices that refer to this License, so that they refer to the ordinary GNU General Public License, version 2, instead of to this License. (If a newer version than version 2 of the ordinary GNU General Public License has appeared, then you can specify that version instead if you wish.) Do not make any other change in these notices. Once this change is made in a given copy, it is irreversible for that copy, so the ordinary GNU General Public License applies to all subsequent copies and derivative works made from that copy. This option is useful when you wish to copy part of the code of the Library into a program that is not a library. 4. You may copy and distribute the Library (or a portion or derivative of it, under Section 2) in object code or executable form under the terms of Sections 1 and 2 above provided that you accompany it with the complete corresponding machine-readable source code, which must be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange. If distribution of object code is made by offering access to copy from a designated place, then offering equivalent access to copy the source code from the same place satisfies the requirement to distribute the source code, even though third parties are not compelled to copy the source along with the object code. 5. A program that contains no derivative of any portion of the Library, but is designed to work with the Library by being compiled or linked with it, is called a "work that uses the Library". Such a work, in isolation, is not a derivative work of the Library, and therefore falls outside the scope of this License. However, linking a "work that uses the Library" with the Library creates an executable that is a derivative of the Library (because it contains portions of the Library), rather than a "work that uses the library". The executable is therefore covered by this License. Section 6 states terms for distribution of such executables. When a "work that uses the Library" uses material from a header file that is part of the Library, the object code for the work may be a derivative work of the Library even though the source code is not. Whether this is true is especially significant if the work can be linked without the Library, or if the work is itself a library. The threshold for this to be true is not precisely defined by law. If such an object file uses only numerical parameters, data structure layouts and accessors, and small macros and small inline functions (ten lines or less in length), then the use of the object file is unrestricted, regardless of whether it is legally a derivative work. (Executables containing this object code plus portions of the Library will still fall under Section 6.) Otherwise, if the work is a derivative of the Library, you may distribute the object code for the work under the terms of Section 6. Any executables containing that work also fall under Section 6, whether or not they are linked directly with the Library itself. 6. As an exception to the Sections above, you may also combine or link a "work that uses the Library" with the Library to produce a work containing portions of the Library, and distribute that work under terms of your choice, provided that the terms permit modification of the work for the customer's own use and reverse engineering for debugging such modifications. You must give prominent notice with each copy of the work that the Library is used in it and that the Library and its use are covered by this License. You must supply a copy of this License. If the work during execution displays copyright notices, you must include the copyright notice for the Library among them, as well as a reference directing the user to the copy of this License. Also, you must do one of these things: a) Accompany the work with the complete corresponding machine-readable source code for the Library including whatever changes were used in the work (which must be distributed under Sections 1 and 2 above); and, if the work is an executable linked with the Library, with the complete machine-readable "work that uses the Library", as object code and/or source code, so that the user can modify the Library and then relink to produce a modified executable containing the modified Library. (It is understood that the user who changes the contents of definitions files in the Library will not necessarily be able to recompile the application to use the modified definitions.) b) Use a suitable shared library mechanism for linking with the Library. A suitable mechanism is one that (1) uses at run time a copy of the library already present on the user's computer system, rather than copying library functions into the executable, and (2) will operate properly with a modified version of the library, if the user installs one, as long as the modified version is interface-compatible with the version that the work was made with. c) Accompany the work with a written offer, valid for at least three years, to give the same user the materials specified in Subsection 6a, above, for a charge no more than the cost of performing this distribution. d) If distribution of the work is made by offering access to copy from a designated place, offer equivalent access to copy the above specified materials from the same place. e) Verify that the user has already received a copy of these materials or that you have already sent this user a copy. For an executable, the required form of the "work that uses the Library" must include any data and utility programs needed for reproducing the executable from it. However, as a special exception, the materials to be distributed need not include anything that is normally distributed (in either source or binary form) with the major components (compiler, kernel, and so on) of the operating system on which the executable runs, unless that component itself accompanies the executable. It may happen that this requirement contradicts the license restrictions of other proprietary libraries that do not normally accompany the operating system. Such a contradiction means you cannot use both them and the Library together in an executable that you distribute. 7. You may place library facilities that are a work based on the Library side-by-side in a single library together with other library facilities not covered by this License, and distribute such a combined library, provided that the separate distribution of the work based on the Library and of the other library facilities is otherwise permitted, and provided that you do these two things: a) Accompany the combined library with a copy of the same work based on the Library, uncombined with any other library facilities. This must be distributed under the terms of the Sections above. b) Give prominent notice with the combined library of the fact that part of it is a work based on the Library, and explaining where to find the accompanying uncombined form of the same work. 8. You may not copy, modify, sublicense, link with, or distribute the Library except as expressly provided under this License. Any attempt otherwise to copy, modify, sublicense, link with, or distribute the Library is void, and will automatically terminate your rights under this License. However, parties who have received copies, or rights, from you under this License will not have their licenses terminated so long as such parties remain in full compliance. 9. You are not required to accept this License, since you have not signed it. However, nothing else grants you permission to modify or distribute the Library or its derivative works. These actions are prohibited by law if you do not accept this License. Therefore, by modifying or distributing the Library (or any work based on the Library), you indicate your acceptance of this License to do so, and all its terms and conditions for copying, distributing or modifying the Library or works based on it. 10. Each time you redistribute the Library (or any work based on the Library), the recipient automatically receives a license from the original licensor to copy, distribute, link with or modify the Library subject to these terms and conditions. You may not impose any further restrictions on the recipients' exercise of the rights granted herein. You are not responsible for enforcing compliance by third parties with this License. 11. If, as a consequence of a court judgment or allegation of patent infringement or for any other reason (not limited to patent issues), conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot distribute so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not distribute the Library at all. For example, if a patent license would not permit royalty-free redistribution of the Library by all those who receive copies directly or indirectly through you, then the only way you could satisfy both it and this License would be to refrain entirely from distribution of the Library. If any portion of this section is held invalid or unenforceable under any particular circumstance, the balance of the section is intended to apply, and the section as a whole is intended to apply in other circumstances. It is not the purpose of this section to induce you to infringe any patents or other property right claims or to contest validity of any such claims; this section has the sole purpose of protecting the integrity of the free software distribution system which is implemented by public license practices. Many people have made generous contributions to the wide range of software distributed through that system in reliance on consistent application of that system; it is up to the author/donor to decide if he or she is willing to distribute software through any other system and a licensee cannot impose that choice. This section is intended to make thoroughly clear what is believed to be a consequence of the rest of this License. 12. If the distribution and/or use of the Library is restricted in certain countries either by patents or by copyrighted interfaces, the original copyright holder who places the Library under this License may add an explicit geographical distribution limitation excluding those countries, so that distribution is permitted only in or among countries not thus excluded. In such case, this License incorporates the limitation as if written in the body of this License. 13. The Free Software Foundation may publish revised and/or new versions of the Lesser General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. Each version is given a distinguishing version number. If the Library specifies a version number of this License which applies to it and "any later version", you have the option of following the terms and conditions either of that version or of any later version published by the Free Software Foundation. If the Library does not specify a license version number, you may choose any version ever published by the Free Software Foundation. 14. If you wish to incorporate parts of the Library into other free programs whose distribution conditions are incompatible with these, write to the author to ask for permission. For software which is copyrighted by the Free Software Foundation, write to the Free Software Foundation; we sometimes make exceptions for this. Our decision will be guided by the two goals of preserving the free status of all derivatives of our free software and of promoting the sharing and reuse of software generally. NO WARRANTY 15. BECAUSE THE LIBRARY IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY FOR THE LIBRARY, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE LIBRARY "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE LIBRARY IS WITH YOU. SHOULD THE LIBRARY PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 16. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR REDISTRIBUTE THE LIBRARY AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE LIBRARY (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE LIBRARY TO OPERATE WITH ANY OTHER SOFTWARE), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. END OF TERMS AND CONDITIONS PyMca5-5.2.2/scripts/0000755000276300001750000000000013205526235014415 5ustar solebliss00000000000000PyMca5-5.2.2/scripts/elementsinfo.bat0000644000276300001750000000003713136054446017600 0ustar solebliss00000000000000@echo off python "%~dpn0" %* PyMca5-5.2.2/scripts/pymcapostbatch.bat0000644000276300001750000000003713136054446020131 0ustar solebliss00000000000000@echo off python "%~dpn0" %* PyMca5-5.2.2/scripts/pymca_win_post_install.py0000644000276300001750000001072113136054446021554 0ustar solebliss00000000000000#!python # # Copyright (C) 2004-2013 V. Armando Sole - ESRF # # Permission is hereby granted, free of charge, to any person # obtaining a copy of this software and associated documentation # files (the "Software"), to deal in the Software without # restriction, including without limitation the rights to use, # copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the # Software is furnished to do so, subject to the following # conditions: # # The above copyright notice and this permission notice shall be # included in all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, # EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES # OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND # NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT # HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, # WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR # OTHER DEALINGS IN THE SOFTWARE. # __license__ = "MIT" """Windows-specific part of the installation""" import os, sys, shutil def mkshortcut(target,description,link_file,*args,**kw): """make a shortcut if it doesn't exist, and register its creation""" create_shortcut(target, description, link_file,*args,**kw) file_created(link_file) def install(): """Routine to be run by the win32 installer with the -install switch.""" # Get some system constants prefix = sys.prefix # This does not show the console ... python = prefix + r'\pythonw.exe' # This shows it python_console = prefix + r'\python.exe' # Lookup path to common startmenu ... ip_dir = get_special_folder_path('CSIDL_COMMON_PROGRAMS') + r'\PyMca5' lib_dir = prefix+'\Lib\site-packages\PyMca5' if not os.path.isdir(ip_dir): os.mkdir(ip_dir) directory_created(ip_dir) # Create program shortcuts ... name = 'PyMcaMain' script = '"'+lib_dir+r'\%s.py"'%name fname = 'PyMca' f = ip_dir + r'\%s.lnk' % fname mkshortcut(python_console,name,f,script, "%HOMEDRIVE%%HOMEPATH%") name = 'PyMcaMain' script = '"'+lib_dir+r'\%s.py" -f'%name fname = 'PyMca Fresh Start' f = ip_dir + r'\%s.lnk' % fname mkshortcut(python_console,name,f,script, "%HOMEDRIVE%%HOMEPATH%") name = 'EdfFileSimpleViewer' script = '"'+lib_dir+r'\%s.py"'%name fname = 'EDF Viewer' f = ip_dir + r'\%s.lnk'%fname mkshortcut(python,name,f,script, "%HOMEDRIVE%%HOMEPATH%") name = 'ElementsInfo' script = '"'+lib_dir+r'\%s.py"'%name f = ip_dir + r'\%s.lnk'%name mkshortcut(python,name,f,script,"%HOMEDRIVE%%HOMEPATH%") name = 'Mca2Edf' script = '"'+lib_dir+r'\%s.py"'%name fname = 'Mca to Edf Converter' f = ip_dir + r'\%s.lnk'%fname mkshortcut(python,name,f,script,"%HOMEDRIVE%%HOMEPATH%") name = 'PeakIdentifier' script = '"'+lib_dir+r'\%s.py"'%name f = ip_dir + r'\%s.lnk'%name mkshortcut(python,name,f,script,"%HOMEDRIVE%%HOMEPATH%") name = 'PyMcaBatch' script = '"'+lib_dir+r'\%s.py"'%name f = ip_dir + r'\%s.lnk'%name mkshortcut(python_console,name,f,script,"%HOMEDRIVE%%HOMEPATH%") name = 'PyMcaPostBatch' script = '"'+lib_dir+r'\%s.py"'%name fname = 'RGB Correlator' f = ip_dir + r'\%s.lnk'%fname mkshortcut(python,name,f,script,"%HOMEDRIVE%%HOMEPATH%") name = 'QStackWidget' script = '"'+lib_dir+r'\%s.py"'%name fname = 'ROI Imaging Tool' f = ip_dir + r'\%s.lnk'%fname mkshortcut(python_console,name,f,script,"%HOMEDRIVE%%HOMEPATH%") name = 'QEDFStackWidget' script = '"'+lib_dir+r'\%s.py"'%name fname = 'ROI Imaging Tool(OLD)' f = ip_dir + r'\%s.lnk'%fname mkshortcut(python_console,name,f,script,"%HOMEDRIVE%%HOMEPATH%") name = 'ChangeLog' script = '"'+lib_dir+r'\%s.py" LICENSE.GPL'%name fname = 'License' f = ip_dir + r'\%s.lnk'%fname mkshortcut(python,name,f,script,"%HOMEDRIVE%%HOMEPATH%") # Create documentation shortcuts ... def remove(): """Routine to be run by the win32 installer with the -remove switch.""" pass # main() if len(sys.argv) > 1: if sys.argv[1] in ['-install', 'install']: install() elif sys.argv[1] in ['-remove', 'remove']: remove() else: print("Script was called with option %s" % sys.argv[1]) print("It has to be called with option -install or -remove") PyMca5-5.2.2/scripts/pymcabatch.bat0000644000276300001750000000003713136054446017223 0ustar solebliss00000000000000@echo off python "%~dpn0" %* PyMca5-5.2.2/scripts/peakidentifier.bat0000644000276300001750000000003713136054446020073 0ustar solebliss00000000000000@echo off python "%~dpn0" %* PyMca5-5.2.2/scripts/pymca.bat0000644000276300001750000000003713136054446016221 0ustar solebliss00000000000000@echo off python "%~dpn0" %* PyMca5-5.2.2/scripts/pymcaroitool.bat0000644000276300001750000000003713136054446017631 0ustar solebliss00000000000000@echo off python "%~dpn0" %* PyMca5-5.2.2/scripts/edfviewer.bat0000644000276300001750000000003713136054446017070 0ustar solebliss00000000000000@echo off python "%~dpn0" %* PyMca5-5.2.2/scripts/rgbcorrelator.bat0000644000276300001750000000003613136054446017756 0ustar solebliss00000000000000@echo off pymcapostbatch %* PyMca5-5.2.2/scripts/mca2edf.bat0000644000276300001750000000003713136054446016411 0ustar solebliss00000000000000@echo off python "%~dpn0" %* PyMca5-5.2.2/third-party/0000755000276300001750000000000013205526235015175 5ustar solebliss00000000000000PyMca5-5.2.2/setup.cfg0000644000276300001750000000004613205526235014547 0ustar solebliss00000000000000[egg_info] tag_build = tag_date = 0 PyMca5-5.2.2/qtconffile0000644000276300001750000000003613136054446015005 0ustar solebliss00000000000000[Paths] Prefix = Binaries = . PyMca5-5.2.2/LICENSE0000644000276300001750000000343013136054446013736 0ustar solebliss00000000000000 The PyMca X-Ray Fluorescence Toolkit is Copyright (C) 2004-2014 of the European Synchrotron Radiation Facility (ESRF). Unless otherways stated in the relevant accompanying source code, the default license of these modules is MIT. If you develop and distribute software using modules accessing Qt by means of Riverbank Computing PyQt4 or PyQt5, you will be conditioned by the license of your PyQt4/5 software (GPL or commercial). If you wish to be free of any distribution condition, you should be able to use PySide because it uses the LGPL license. If, despite its permisivity, the license accompanying any of the PyMca modules is not convenient for you, please contact industry@esrf.fr The MIT license follows: Copyright (c) 2004-2014 European Synchrotron Radiation Facility (ESRF) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. PyMca5-5.2.2/icons/0000755000276300001750000000000013205526235014041 5ustar solebliss00000000000000PyMca5-5.2.2/icons/PyMca_256x256.png0000644000276300001750000046544413136054446016625 0ustar solebliss00000000000000PNG  IHDR\rfsRGBgAMA a pHYs+tEXtSourceCanon PowerShot A60 tIME  "(=6 tEXtCreationTime2005:09:06 13:17:34!tEXtCreation Time2005:09:06 13:17:340D+IDATx^Li[xb8;1ofefUeuuM]=]-cSml0_,XB-b%B @|@ldA0lՂjrweVUVfp{1ߊ,yΉxy^{޻cGhᰏZu]ݨVGTج]è7ۯlF/U.o#8Q1ʨ۱pJuk.[ERz!"<6^=*nq 9ݑuFTݨhkeDzZώ|iwlv S^حVnU+\WJFw@<qutVkc,я 2{xN.W[E&;w_Φ?0m\ޡ"<5E櫱@@;},~/|#N:uYСyUt ߌ?[#џ~`l Ey>> /~mƚ{2@OXc+4I~#\b Bo):vdac< Vp 7?@{EU&`aQ4ŠÜgbך(xge z @*ZGHrSy(2`j'l=`W%G a4bf bTqɀι:Zu1x[M)MY6YDYTתFT1V@;{D(f<>&n?EjF5Dz@N/&4}q9TPf1lg%EtN8wSHlpmS6U ۈ6FMG.hK-CơS/ͫS6y.ƋTW\O+`*@PG'p80nE xTJ@*h C!!$ >RJqW|kFf[CjMЩ1 ;eіh`2 &Jcw0& T.arNy^"luXPE 0*BY51>~z_|e\v{o޿hCyv1ObvóTx5: QfԀeb1FjtȮ(veϘ#좯B61Nc 8m3w+\qY_12^U`hZ@*dqR?"2_m`(Y倗}ÿŸv\S:mhT@8~Vbu7[n[BpϽe [XҷN*:/ǀn~U,*, ƺ He{OE>u?#԰gG_h ߧ=evG,S8j)xjщz0e(sj/ Qj )U+% uaTe #&mz/iM0!dttxh$ /ǫ2n>(FUZEAQKuk}c~;E/ÏnF</^*@_0*jvqYbY|4@Hc:#m) pxe@>]>t4`E-Lpf-Z 6l7tG)&r?~=C!wLM!gPp7AGC A6d:2j@+!3ڡ'ꭌ m8ʫE)cK,U՘4Շ p\-m~gk#\TYA6O ,n*GglQNt:x )= 62cy?'¿?kq|!Mpɠx+3lWv̄QEꌷxtZ *qx;AFAh8YT1#7Fנ ScubH Nuy #7{x2Ɠ3F\ͫ]tg2hGAttј_/fN`IXF@:Z?G^/o!u/Q(c;j},nnWPx˸'Ytd,t2n3}щK' ?8nIX 8])'WLhƵzlws5??=AKֆAI7<, /  v n@O_*z!㪪ݩ؆ `FN6N#JiI1?3mL5>nQPɌ3^#c}9(CڂOxx=c fT0fu†WE@Sv`_,+y1S lvm<~a;&24GR GhKX)lO~m^yij߉7^eS |d.#e]ȌjUK~~d+&NgG7i(\ପ\pLO5 x Z)-^KF(;PA$FkRPw!Ρ^al.6ÿێ8byٛa;LLm& +5Y%8~7;^-썣N&Cݣ_7p !D`/6Ckxz_MLznDŬj~;M&/1%܃wO#Wgi ŀW 'lg /:Zh{_c⦢vAYHg'%mpMk1&?Xǁ$״CT 4O }3)6ma*: + m+謁td Y:1n4&hF ]CFAx&}V-8uS9p= P_hJn2T(5pIo^) g-1Z ]*їHSONxss P#V]/aؑwC{~[_Wo3 jZoLߋ_ >? zxV2{x0_@ӍG=h& DY+ kPV 5 `"ttڰM^lp:O6;6*(K%&(v0Ԕ16f`,7Zzqn"fS(uԉy"80UF)g"Ie%VM_*n{\w &3@26\2_Ww@`,z_'q=`Y(㔢W#e{ʼRMPs|2:i'!*!<[OFgqsfp֜IgБa<͟ggܗ硇k/^ѽ1 gD vq;y;hNX#r]\&kAlPWTfSO|$i(n|W4(-qv V9P@Cy`@./Y%<My42iU4^LgͼOU'kk ]*ͽ)iOv˩y"dOa|x .GS'꜃KЄxc9|6Jxy9pWd$/q~K#B.[ Ч;|`>Tgxc|r^&ccL;L:]&86P=?eRE=4TfVHܴƹ$ks b9p*<3(z|X*:mT9 Y{u^@{l)`P8~+d&rڤc(xӼ&V-֣2k!td k 2 ;딳Z!s N #17,(|sk\/ⓏdagEFɆm_ Qr3^ 4N۫Շ~T[WQxv,jxwwWߌ|-^7~gM\x7(H+mKF!ST-ΐg>,Dp$C=2KUE64\=)U*B Yl0pffK#TB*HlG52 dwaݜz,HlG;vD"6v=Š^}7..`gWHф 3! KfaN{Y<[Bxvb&G[q#,`0Yگk fu,5朻Ǭ^.6='9ECZ [FL{ޫd:2J L$W/( ϣ}[`M 2*;@M36StiOVK(S ([xY%yFם6k}d(,qBy<+a`Ft(:7 0> 75.1/ -𶎴 .,t5}i:~nR &PtKoL.ZqFiy4oxh߆PXN<{"NAݘЎ󫘎gц]|Q\N`&OP~d`2w XId22W{q[(搉A -:y$[02Lٓ![5ЗdcNq9FegN%jt:YtEciLn8 F[GQ?e|~ j} }XZUtS=9k:`u"1apj8YE-9(g۫|爜6P-om/`_mѾ6:j2 qo ǜbhX֮4&xG1$~?Oa|??Q[270^_~7o~}t>byDDZ7A~ʷ8P$_Nx79(|朻(_E5jcx@=^oOb 0HR@D`&2m1 t4ٳ<] qo.b5t@e3c3+c&kUonA_Ԑ;܂v|z ((0_I+$xfUfаvx4l#+*P2^D.50[bn?xnIPn, s:zb?d)T覅`ULNp-F`rM`"l{ȩ=}1lIloOBVSё>H4bxG>Zh ?-j9@'4 Cuƨass\]V:e;m1al]r* %Cf\]) a[`XnF6J6i&`e:˄-2l(AP=f2#3d#i0n6h"֬WD{=&QvggsgaLX('ӘP23,J(lӦ)jz{C͟]\D9R0Au,Pp({RLo!UO[P=,&jҺ)H!#<`2eޫW;NͬTJ@A:u^]0 t6"^;y.1V\!3iC? JȂAhƔN[8\EhܪJ3x_VrN2 "Z^%d}$zځr1 %.͛OhXUY0dN0P)5*SjKk&p(\ꍉU04eBW,~XLw7o%Kp4G_^QHS3I.]Ɨ8s߃'F|>GΌA=A's02N {AEB2&8?$뜼NߣP9|Ӝ.6R#Civ\GcY#e-lRi ~Jg4cpя &l<<ή.b0*3MOZϣyҾ^/HpCcߖ¹9S}8hyR= 0X 7Hh6x{b6JZuΠAi^DHRʫA5z 082]|+)@]T!FfҬU"t{:.!|m'90h|'sGr>:+kOQt,e6!'z#k-zJt(W Y&RL #X4w>Evwc7q6"ܵ\ 1g nd(k ] 5?O 6Ǝ<,L2gfY1oQQ%৺@ {rə^& M9Y@.vI#Rz/aOAWguCn#:otǂD > "B mLd$z-0OT`謸s>V\'_ ^zp0cw$\ji"ICW6czśho tn8}tq TހPpp\@pNo<J7Aa` 4: 90,cCN%,sEpt܌f2kneaE{7S ;{\T`+]Ŝg=ƚ纯K' MH\ld ^ _=Ad Y . 88aI#1Hl^VVZ:/`x.Zl |Ey:A.)6m̽k1^\CퟒVEXJOe{x y'K]+oJ=71Ӑ[w9_g\Wosؠ8r%ЄFbC ^3~@zd -7jae FЋx}ðy!%0e $8$(OP,c{S'eJc@T*nNVn,-7*rOEN*+E>"!Sܻv=gtn\ E2b*N#WD> |GvjЩ .g[9t1RvohyCF/}apԾِ#\-_pgѹxgoR$| #v{RFll o{lZCyrc: er_2ǘ2 zj#x$"8s88%Aƞ-UkEz4'`v;/'?q<..egXNCFN֢\s~P.;A6ҹJv˚U8ha Pּ7*r9F .hUy+@y &혙^ZQQ(@g ׊ F%1XI3fn~#gܸ];26:miθ HvL:`gu~ \LEh6[k@%K{7؍If\H/lm-V6sְ 9г;\lRքӧ]٩OUfօT ] ߋFPh?xs(˯ IXf azKpckWW"܊ӀƗ.>]|}>eb #gTk Q-c2(6 B.s 9PAƾ7e\ (Y} r"cF˜%m}2sRу:6jWw Z@?D' Nʔ#hU9mAd0MWq9.ƏO&ob/rФtGUj)}dll<quqmB (wQ[{mwSi'@$4i,]ӜN1gVQ\CAwiwT8Y6㾇Zzt<9W9q$pfwg)6e&ͤڊze\` b#sxm/xo'[!sӉ;~ ޹9+"wCs1.8Z`[A43?=g|]k>NTWÝ{  )fQ[`]{ggd;-lW4wгҐdA=$ afnmGou@p}/*3^?ֺVQm {Ӏkk w2k GtŇg n.xGxopFn%7~#ZV @¸2kLnL5N s@H",FWmeg \gm\X!vrDoV̨&/#5ъ?+ ӏ HA`@S@)},Dϰ…AoGkUeU/x>s7Y;Psb^HPų⋛~#=3+; Sz)`/gjo1 hÐ6 âک} }^̑\OO]\sH}茗sLmFLifk+u;=(^59~&]lP cq|f0@} _tL 1Է9zGCNXaXjl2b2ax@^*/;AX} %-+Qd0\UGOݥķaS%LĻc@ps[cl;hddV`UK:~X- V0]قE$tIkf,eϟ6Y4yg$zi#REa4n1Qbd,qo#iyU2T'_{1C EiCՋw ['S(MAw*9+t!cx${@ї.;YJe#I4c-8/=t{*I\-،xa'x!4p1u`y痗Ϋx}t*&0yw9o^gl3]/a W*л +n ^:T mM9YHa Qf^Ne[Ĩͅ`YCG%0=Y#Ph4k,n&JuHL)C@Z,fm߬8qǡYQg,&,GV),=Yb Q}#d_A1,΂g`M֜|ﵹ)rS}^o B+] g3N bA~0APvƤ [ - kn b(kpx殼6aùK.l} c)HAұf Ln7I*.Z.]Dޒ{_cD44 hb5U׬WzVâ#Wa bS'*n/xG]Ŵ 4 %Y]Z6иو6 @cыɹ9lg /ix9[rB̉ly4N7ȥiۛÏ$怛@mOіV=!$n>qĜƍl2cx$opz~r5351Lj3+bjv^ciΰ\ 0]^)=kFzo;Jf#ؓ1]EX,h^{B%>Zt sQϖ8L nn>/Ks_^&y| .77} g.Ę'11f!P&Bw 9}LҖ M5X]r+u_񌟃dfר*> 0W<&ޭ] <@V¬kbu &:`ub ?҉BV@O!SYD#FjvEyo"*jڞG{ߍFQ\ 1FG<^aw  n!ܭWJH:oQӮ!@9-l1`oQMfxio@pa$ɍ=s =rW D" bH0h{i*Zbo vb>MG `OvK, H[}/3&"xh[N _8C)1;pk\gozCQs]Jm҄lA0GQ,=q{;T*΂ڢ;#F 1"W OI1przVA)ͻ|g]!w AW`g\0LސXV+<khG÷Kne]%0hQ24|!9'e8?T+^1d )@+CjW83ɣȥ5oh:.tkCH|x4Eɗi_{ص.7W;ژvz׺Q/|Bfj|$zMxFw Nq8ߊV`$B *MYH] 熇 @a )yVN25D46"0n4vp{|M p5b@b])}Z G\p䶌@!#0r_,6 p2e2;nVXxR;bj=h-h^-3 t{״A:4K_q9hī.ߢX3A 8JƂ8xPnV%&,UE%f|0c=- @J09RYIOKs71n!Ebb rCi?r,Fkd &ڃ~ 5*.sud u$N257\V^:%(U{Sv'Vr9P4KQSb%G=$h2Kʂ6| ͽYNXY/l-L֑eۙJ!D ,<2b\%J]垕ݍF)lf8'qZtZy77+ :WA~!(oM{?n.2sSl;4.#ڂr9 d01F;W6d BnY <˰f`P}ޟ! &MbۯQwc<}rW旃W&K )8œ%VhvVYEh7ng-ʚCYrI r! [z!c\ IoFh" r5Uxy)a$.GF&nTzoZ{@t)sT:*7GIDHFKk7X͖, `cfoW)D;o0[+cKupMGO`XU%9;wpl؁\((F/eCl|`E?_soόd,!̍ }K(zJNqMikgpCjn5+܈B WRHVK9m2T[-۸]V (Gnګ"@F! F.A]N>>i4]GaKG0]^{W[{=L7 "*v[.(CaD=q9̊ %y% L) 4&jpuV.t9SYrXO}82nno2nk/X:NdTd+GvFWX45(9ceeqþY˂Rw236 T|@`ya r0Ө:"JU_e.-^Fn 0: Ʃ0ϐ=k5} nNW/l8}iع=[˚LE DNvSm:a|([ʡ0pU+q/z7yt&APrlLV`:j>ϣ8 ~$#0SC넁nn jh`չSbJ[j 06s{户u&gg =ԏyT]#'uK)[B J nAPDPU|Iƫzo㳝qe϶f!iݤeiv-NMbCn`(6m[\%;zF'4TAl iTw+gXf.ńTxr3fzY:ba5|!<%)@9)2sSSnތ yh'מ`ak lBRlpDJcNS C7Yy%coqu&ĠuZ -6A˦B+uWA+ƿky}o< Վwo6tW/ƀk 8vӱ}y o 0]*2& zjx^ȕZhϑاBJ4*bݢI~ysZaBvgTCvY$&G49 _5KM*6 I&\ÏTjĪ* `Ro5g8xlJ`Wcˠ n\'FZ奇ʊx9?Eub?|Ч21v4$@xO5p`\0~6D{[OWW(>sl<7@4{gQt3Ls =_Puks׻[i*Nw^2]5GFEٚ@gzr'cQH{8IOL4@,dAϢMu*c): ^8e\,)Ks5knҬgH^96;CsM%>w!&wl{֖{zT θ}=tV Zi ~^i0#4CD0\04.jj?ͥ Ճ*;㛍D%Jv9 g8<|ps gr'o|orM){ gl?[JVrR7FDj{<9=@WԥV}30J|fixJu%}ACxbC,x/c"7>t!{fsڞ+Otwt(.fE }g;\>NV< (Ya6y"wRK@&war)/( e StR3Yp\p6L:̩(|,ʨ ƇU4<ƻ9*3F\[Xyfvlͷyu &{l Y1S1 2Te45 }!Bf@VN@4!iDGxhetvʼ㼺$t5>;Xd/{8Λ60˪MYL) ctSc8T0(bZT>1T<?71(PE/ GFIl#zCQ ({H.w{^ڌCT|Ń-'|0>mvv[Zt^r6"l_&B:*" Db--sXu׬=1>C2[:Ԗ{A~|@*1U+Ĥ0Ӕ^N͹nExSRuz&2K8:ʢ*%ƄUZnp/S7MpC<9 q?F`yqk0zՂ@Zӳe^ǝjKixQPw!8}YOK.[:ђq='NԷl&O6׃ =!ޗ:Dw譫%ƗEa0=|PvZ5TC9gě:El?,? [0ٗ`0v4XzZb;( ݁X:}@22H^gocV3' <7˃Md4[ftWiBeO(f@ϬZQGArw^Ke5i$38[2op?<7j;5S+}h}0F:awf[Q,O.eh] (zh`3C{*˚E=@+5A<}FG\ ҋ? `jBv[%m5[QCW( \I09"SBV,Ƹ/KVy)f6gh_2Qr8P4q<+&=^!4'~n4>i9!JOw~yUB)\,Qi$W?C!J]Bs]WNu ٔKl7sI $4L?yJH; Wь`|*nU*"001?ckucalPi ps !;!y﹟cs8-FYIfq eDODvYx`ȇii/m2p/~~'Џt\@t/m;.JYvab q#K;`uj& 8YݒEKN#@ wG~7n2+gϱ^Zw(=9*-F>={Ⴃ-b .Wfr־k;G b#`1(4x2WoӸLXx7qU^BzK \jKB-WuxmXqSV5Z} o"Fn0Eh}kh;8VYeݚ1(zxyF Y@/0r<0M@fJXrKXXjt;)YsOX>zНga10yfi5qnxl<4ܖ5 g3ƻ ka-ƢSG5U ܁ٙTv5 䉮%0 ơFއzc.K׀U[>SUx2tB(2z`[opp]$J3+נV 62a.+m2061c8Ð ,amw6_;@;7N՟ӸUPOvJ]V0~.mtBEP\bָ!'[Aob&6KiST4Kq,DGc4v3:P$:]TYheb\>;?\>m M [WY `ElM] C=̄~o D+"hGߡ0L";Db͢Y /1Ar/&=7@n.utsǟML&q>nr:qu2 lbk(:JW3uc |x~/_H&4;;8\"* ]g0΢"?MZ1̖8B6zmt-K̓[~rqC7`X'F Cڕy&z_•*ޝÒ]m$'oC7å݀ Σk&@EG@iU6C<ELg+@e%:Ո{ opnLnyPM2;xFݣ = k)fhր־)8*Aqh&$bs4l@IchG?E?/^Fk8؊z~^g|<h]th*cIt@tBZ7f(Oya`S@[~ti0 muS5Cpg_ԊzC#ts = b0f_V_cͶ/.#NIRl0>=Ϯ Ma!T#tXYPy" {4svr|6'P煷J7"t1X(QK:vC, 8(=s92qK ͓ϧS0 tk%;sC=' 顧/F4YUgsbWݎ.1rV,ݐՌ%;[4wr]TF8W*φ&A*r l9չ&>y;|ylv zc G'pf)Sbs kR4JuODS1RUtL nX_I_\@Ʀy&# k1nU. IܨSPpýHw/nB.W\LjSV}_刷@?/J-u)O xέd 2_A{f2e[tG}:@ :r,7vVfAy;W ^AvN(' 8ng`lNOMu=((&츏En,Xi931/^d ]]1Q4t?QYgGúx4g mNja )ЌQ{ӸRQ=ǙW97n븚G :2Έsm~x\k-<vhHDe|[?o>ey[Df$#g*BxrK L ZMwsdc-J6蟙rL; pk V37j76Q*njT ?J>8ՃRsKiDDPsbY9ƙ T1 䁱x!{Vzø|I /d1Na;m8AA #<[s:p ĵ =7T~oQ@[6K4H7/fInY0%Er z6qV˄{ȴ|ekλM7 pZ7p$3A7u G~7F0LG ưY$5&8`vu 'v܆ЄЌ/t/ۃOw|YYoE/#? {xm<+e^gi_ZwPst RqeN[sWtC4 9*)CA8Mˠ3++&ٹG;߰`5 Pc (n~~فNP ŨKO72 v(sre $%=_;8rs nVY& ghPV#XCnָi9}t83CA<֎q;M^hs>-bUTVfbxᴐy,W79{@߇x"'C[ݭ瞮2fӥbtNG)!sdM30q*pRZFX ]ls֋~pC~tUs*Im>[#I EE$\iѩ]^\r?wJ8VP2 4VrT.Q׌#:賹^]\aꍍa=@ĄozZˬ `0"BJxlmAU(8nȤWύdx9}>NGl|ύb]rc z8" q팸`X|9U1=eI'(R,34NLkj,)zi8AIVhϠi(SfMF7nz8}\%BԴ&` *b@⚻ffy@6* ݬuh-\l BbZ \m !~rpkYGS^Uw 2f*(2ٗFrݬ ^r&`2ť ]mܹ A";; %xI s˱6b:ӞiV=tԞDvh%z -*:#11ba 0Р<i J 5\ԣk"Le*)Lc^N]-!òWi%rT`c$+2gU.$K{t0\ggLJ/LYP ,Um STv9xS>E;2~7x/q>fLB)kx)4pv DN-Cda ;fFsy 6[OerAyH}obi"7]>O"àIlyEރt=`Qv4a""eCG241%rFXksO#'9踤wD}*,lGVQ۵CL*xJ ?}+:FSk01a!|:k)υ{^H /jӁ^.~q:cZHQc`p6 wYYb ;8>bww&..i6Jj]hwqgf{g ӣV0üzKSgmƩ zW :ϽK `s6j&^m 9_f2)A v y%vjd6lք ; J/I3;6Nh5NuЗӾ\2}F9CWdc &8mӮ<@f<ڳݪn>'/Ylg`tK"cɰb, ^ "Br&!@X>n(L L./<ƕ-{o:;{cFbnȓv =\rQ5Oq咢88|2]EGp ͹Mf02J QZg rӛmFc> <P{ ƒ <! m=Ց!N b9l;Zpش0lpcEi'Mοx ZOn._rN#6Wr\)F<;L"h=fT/⼏g~~%ƣ+O3eX~:jʄ}1SotmĞ\MVr?^GCqol2GD+:+,<.nW(%uC8Bmvr90m 2^`%Mt¤!J/XõĴp@Eq@)sWWNnByKn$akQN4{%FҴxx蘶. d\#;ެ7RoV(]ra942 K(,^|=WQ_b :~+5s@j2#zvOG+\T_.;f'bPR <ͣlؠ8| }e<.(|n)52|8x ~.azۆ߿e3 좟ӂ&7&q%\s~~B˪|XMSyH#B3pv|B6ʝ{1nF00[+]m\3``cvIl IwQ9ƶج9CM~">J|+`5;dоm4PeNq7v_c&:#.Qe]Pmɝn]b, q1@lɖ#!q' <T8Xr 8,(\dj5\ǜcul RgWx%15MoD3 09&8M>%6FcSM`zI@,pM/Ƀ3Aەz !Щ1$ơoQU=HD߽DscW \Z N ڑWFNz5c.屨$.(/ `i_ͩA1ӈnDYyzvhhɜzRri8i/9+bٸw-XZIN<Lvfzs:#==wPg-P[z Oov ;Bv*G1A\cV-L֑~LĥYNh4/ /4XFF*5-!]4zz L kRadD ^#IX@L׻|'sDHRvy_B*xA Il^h^|Yoql#ȀNLGkM%Nn1KX !ޒOYPXh LXZ\L`0~k,`:+< 0c>e "_6_/B{*^\TJs;A:oYEW:+vC|joV-30Йd 0qXo>ZlfznFx\cyZоfY8%JycfIq隁51:m7*1e13 3r(Į\(֣2Xߐ[c4=o407W2$s8hα+ڋ`<9.rre.Fs_#3i[|xkϺq?he:̇=!`X٨*Y)ꛏ>qzN?b6 %8 weaE2ؕ:voxxKSN/[Dj6Jg]x8k=fɕERVW&NLb5ZP%P S0̈wf2K7b'X!GC袓t3J Qhх[cD,@>w+j,r7F ryvl[Pnv@R3Xht9n#snJbOci~[X[ bo~ׁGK_;jzݾnBQ8 Koo9 ^J1,Bޣ]NKݏ@`ZbXDAB QF!H}=ZW)0<o2VYb[f .7qB\<*+oi(! KAc(d1fhkRG ( xrqTpS=Qs;{`}q i!zڿⴙ\MW#<4V>}E#KL2&Ӿ3I+އi,hzcso{`u^ܠ%v؍~}Ct&j0Q5b`7 1,D_sF,>Wgާ_6vʭ9b.auqGozDXevz1r9w`b赉<{0h)Dѭ V bNiMR }[3޷oc>5OkΆ| ˫g42؄/ o^Guqpv“{ܯAf} ,ZjȾRXzLƇzUz e=}Vxo<&;g -8"Fu$2kH`uN}"yƀd $tPߖAZSi%X)5u`KWn4c Vz諫,EFDWcied͋9taK/,+9;TOfC0y` q!XUb<\p $eJ[ug 0 ; ܭwiNx#,`ۻgkst.o_A֌oo}l R >󓆁,wc@VjJ=EVkh(R< OZ~vSw_3^bmnr ^tZJnubg! G/Dx<[a1nG~;6lP`qeD[jJ94 s.h+%A2gz U繾aС]'b4XDݯq$ᡍ!Q b9\N{.^^_'$P0 0-H=3Hf%5([|<n*B{D9{Y3Nuf  `BՑ_2grrK km:  x[3q#BwXxr#(>g5q6ѷb:[`zJd(!`r|}F?$?szsλݚ< J#!fLv)K~ r NG' FAnb >1Ze-k2n| pg3!#seXUもRS.4ӏr Z| CPV)?hEGr_.FWq2 uz\z2R|sx[u@\Z ڶ]^sR?m()IcV"##[UkiDT݀~w*'_>O& ;o%ϲŠy<;7FOhیOG(^k[WWގ /2DwY:K!OK "%2`j#lD?Hv2ovjI/"\n{sd0}(/*@Q* PVţa;=5A)CP]G7Bx8F2< iL%6x^v8ǫh`鮊E7Um1 h!g#q4k0KbX%ƿE| CY@l;i2A)ocGXz*5P,*6PsQ*ћϳ@gɬ}5]{vKGkPn YG(>rSg9}I`D~r/k\ jz{d1 4ʗz:N'w>Ž&1ZŤ7 8KQƒf¯]3!Ui+>vfy-P'X `&h2[L61t'2c E\Ѫ&55~堻voC9OU1w^Ãgr_YG+[he;+ju݇ϣr#XǘGQR=܃P.:o\dA9\w|5Bh7قReZ߅`OAWgca!i64 HJVb&K ?3N^ȫށAu# oJaW{|@c(+cQ~jY^!)Z~\]]sX0MtQ> `@3n}=A|R|Fq^"Ml&c+ sPhz> SzZ–SM=E3E;˴ ,նx|buƄmΜ0(諷@@& [@y^DR<I5n@wL|8< 59m PnkU} Gge;,/+k9Y.>7b:_K/c$C*=4$>i>:d T)y,Ȝrgl4`+.M싰U66^9ݩk~]` %0=|A^%Jo`^\AJ! LyL kf Sy6Qv^?qT2 7t! |nĹ \ £Fp׉#-݃O}{ 0yXAjbQ.xqq\@oM4P OqR bc5y"eb[!.FIic433Tfe/ `tV1ygw;X%V"a s_>O>z]#z71ܗ7b<Οq+[{yڏănZ<5eV]nIKߠ)Fx-TG6}ES= Ds1lsNsj݈zz,_>U|ف;lX=o ;L6[Eg.#:n>yyޠ 3%7" SPzrzgɬ 1PD=hXO26f|{6,y"9;VЏ4{g&0~d>=luZUJ?ݿa@r:Cͤ&iq\snB\NnF_Q3i:]^[Зm6ۉHy wiVk]Mgw<]ha l.pNCo<=7DoMŭT=i {( "OFitN8hZ]lט0_IN82T?3|a icKe x>VX &;`0xsC^mS0t 0V8خǣz>skZ|ŗƋ}U<>=]ٔE๴e|?KzZL-hܵ7c]NU q:9+1O 37է3{+?'B#e~sa%-Cʸժl,3@4]"Ε{N ֘ؐ`i61 GZZoEQvY ҁ; L y@/_/hY^Wܯ@`JڠI=/㑌|IĄk9Ru#jŸ49a{ME?u ~z>XQ)d$(傝pOg8&kO]}6$Dk 2خ0d(3 #Mq}ɖ`Ÿɇt!U|xc~7ug#\a/5&{=7`@kI*׶r&H 6A Ne^缸{EN{XqtI.M$wAz\`2SBVyyv} tNڝag1C 2œg7܌ċxW/@O>"~'ߏ7(;o]eoCM.i&FifsoEEb,vg=0JZ B fS%sbn@kc^tӄ OO~ ʤ!`<%ځޮ4@WqLAG 1COG; TY2 oe"_ݏ*3jh!8^ *ArIf-spZ cلp~%R+zm.3lpZ7~w6B0lc4љr=\%C)! map&6t?Vh Wϕr03Еwz0a4[ S(=&zm &==E4FuePK:6I&E+Ov$_Oc[1Jya";!Rxߠ(l=E5qq,Bm6(ێmR[Z &(97sP~*hĜEp6 %(`ɸ7¯{_{'C77yZj:m7⽷lt4p1<;W<＊G^nu 71#8zCɑQgbg? y P›.! #, b`H( Pw fd>^li1BvnpU tXc̿Nh3miૡ[g3 ВpzZʩ.A|FrYVkn\m` _EƄ F:J o\í߉o]([1&[ 95~lf'Nz2(g#L9#K8ʏ1 ji]w>Ϲc Du@sչ؁0,ou9 8R33O=\10X5K+;PE:/VzruqN-[37,s3` .2TԜ/ي=,|侀ɨ؂r_+ hX|~N t{.hRt LVS< uX2| tk9:3۰@ФYj%bZmفoNtξ%R2*~|_fHxӶ:FDő6k4e3AV'7<ݒ!3CLN܉Irr-R <8B[p?[w1twﻣ}s{q!>B9OnD;"; +rܵB#\iRqZq4DC 1jg0s-mT&PRxs0{!b+b؊^YtŔ{]ȳM` | F2نосf4b H待ux- O@feiqF_tr*_ߗ {c-VzC_2 ÑpX2*Sϓ( L 3MVFc0A0pp(k,U Ft[Ryݏ5b<ꀖ;EFzސ L2/+cg~;Чu-zܢmtL]Y7#lc9Af_´q;KttvVdwMBe;h7S1"X屃Y/~g; Ip5Yej#d3+o5]V{&̸0AjicG@fv ȧ:ť.r2vxWFJqr@}eLr[pi^Apll(ɂn(5F2ucW4VGG90n|-YgϡMvVmdBQ.m˜݋I߭Cw)#ʘ?$l?Ўjًɾ^w&o2N3m3BҪJq|x<7pI=ŕPF6ʩGbe, }P7>" H`@Ҁ\Ab 2qm^ ub,>2)ڸo+~^w! !cNx3䊃pF;9­Xx'o q:U,=tǐ盔uaDqr-^//?ѽEϐa6۸{\Ǜi|z&>7?>wGw=ԗRdW03P'p \ 4Hv!qQ:M,y͝XeFfSݱ]N@]WEf^urop1źK և+.ٝDֶ03fI1#*y.u7x;]j3 }v,0 EmI+\ϰJ+jB|!DɐCa<)T~Ai͸@JfU་ͣۿMe1oexe-Y ~m=t\D(_ߎ^xd~ .O^͗{(P˜} 1r?s1v")?5 ^<*( Y6[n4o5eͽSubW鴢:: Mף]$4֛M*jBV $9}0cfwv6@.&svo}#٪yb'/5<6r߻%A[~d+ ͯd =dyǽ ;Zt*y9{e@t~գ[A=8J\f<s募=Y[o\TVFQY.:¾N8umO:K[ (5h:_09>7Dd)~hv=Q Q5-@\)6sUnrFIu0 Ú ?{4B?UOz bCx<3,*YX w ƒRT=qtRaע .Ft?q|{^k|/ ȉ1b.FoM}qiIdg˛;X.YW¦_ 0#b>x&eQ* PrLS M6<{ɋT6b.l 1zc}A*@~Зh.xaW*ׄH|5(0}r2p_q7zp63̉zAޘhxv[WE!|3Ϙm&l0=a8ss](3Ga2q!@Ye}|0Xys +vP2>kz^?聦,F;Wƈ[c[}صyh_A;sK̩ܿOGt<KM(W2* DQg`p.:dm^R :ozb̎|+_|߳'d^h^i L=p'^}c[m@ks n.U<#0ϝu!JT^w'Ms٨M3I|@U8܍M c/CljR_m(< 4/A&>2q"0]VX|n{^\܊/#҈\ c4a ^F]:\ 3nLփ41w,l8 gd2O&10d_fAof*jۗ}BAKн *7}NFNKiLNQQ*ƶz kLeS7lƽ殮e&[ VV_)&0ۏϯ?9~lbA3&avc.ڙ pB&ie#U**ǘjb7&qF Ϛ" +ެOq ?5=^o_qѯ [,  xa!ɤnTsWP &]Q{Y?O蕀l b?XAgQg#]ׄ Iˍ2aNw%ܷ0uW ;^ybqkbb1Z h?9{AEYȄC=̻i?qc >_Giմ %EB6ƹRwsnsj ]|ܗ5gLJ`L[[賏qd8>LyWqhƌ;u;- 8r؊ `ˍyl'xSB8uV3#leTڍ<\J=&&\Ǽny(0.3l&x^i8| ox")vc 1֮ RB,+@;s3!fƛ&w~Mnr2Zg8>Gh]sjȠBkנ0z?+ y>!Tn7q(n2;Q]@$>v祻7SDِjkMCv$ڒ~ˁ{nn#779\+W2}Ս]hY.ܖ|褈kԮE(|zs:θm3\NZ?/V&22 ^֡Z ~D:G' sY8W?ͧ-Bu}y| Uj/gF~%{7+w0V'C B\$2¡uTp^}inB% =:HfJOIsxZ;?7FuK{r"+k@|7ۇL[*I#+<[/2[>s e񨭶i kp?ZGyo=0cvםe&4;!ٰ51ЀQ2 "C~zdtعԚ q{ VĨ|IǓ\#̡kbd)Z`"/J,N,U z2nO2ct3<..C]['WL<>̶1>,x~=Q)4z!Ėt0z ~h\LnR_;o)PpqȕղShJ0!"{Dbx_F\:H"Ao5`4gf̜;Cꁌ_#I`bSpnUm#k.$I#ίC9Ir0VJvp>q>k)+Hmc2o5*kt浙y}Cg\_9ӂ1`CGB:E@>:d",dMdE79d1~iTp&r75᷂=*|Y! f|E֒@xn;+Ruxĸ]ol[s>3 w/2n )2$U~R#BA&+> 5r6Zm!օ ̞bK x Yfנ6LämrkY&7]5D+ PQku)̩` ;Bѷ XzKeZA L%gUzūwbTZ~ ?WI0\82q&S瀞JrS(jWxe%^` nOz /=npNk1.28w~gN!Mf#:7jу (D51,pICza Ad?G;7,͐k/Ll'(0x$j2;5 >g>B,g8'SXcoGKvь;㛏+Ce4:Nn,= D_d9&J4%`Lpsژt.Xi,0M:cB_|,1xeevdPa )s` xOf񟝝EU%@.U)dxElC;NN.d4nt(>8x3.< C,74dE HOoF nXeُ[#=@Y(Y(D9?q˫-FYbc7CVhD) \/`!xnʾ..{{l>n1/>T;&_u\K؂!,~<>]:9AqlVdz湛T>zˣ= ߒj8[9}vc 6Np`Ya$flo<$PCןG^}z*@}_dlݤ(R%K8;v|2qr$3m&38>sb'e9eIDQŝ&ݍjz|bNAP,~>f(He*>]6g~,5q?Ѩ"W2O1{eǟ>Jg%w"QjQoqgtkۡ#+:Yo22юgh*Ͽ\/Nn:&쐽g!V 0>E :>GYRa] dWn',ץU,7l~tCsx7rJQzVӬd$+o;)no5ME,q#/x27hgu z4E`Se|u7Z,b2A/k6(|Vβ@N5hJ|6Ae _Z†bgZLo e%>H ^l֣4Kϧq iU{6 b?]Ś#4Z}`P6a0꣖m[ ƍ/By ثM3=,16z3^WFqN.Vw޳9(:k=)1A@,&~0,xS *$31ϙ[,ˍb!|'H#Z`Da|VY=h&_˸7ۣΨxs }C UϖuůFbq#m+1 5Pû}.__) bkC\i޽HM@Ǫ A*݈Tk<`Cb =0NW+\5vvDZGNuۋt-y;i0+RdExCP! L26zu.yl!T~{}ߓ1yBRda듵|,19׵s2:x6qu .'+>2o2>¤ 9>OC/i9 ](yOx*6XS > Zv=&ۀn)A8 P)#'B&1dM 2~;1_:g"yl.e1`r9TR(>0/Xla6:Cosт&}vqEܸaxB#`e*SQN369y?n]`*υ]_߉mvEf}FƂgcM# ;td*=DT 1X30N`ynl#EzS/]_et ZGFt5jO^11GpZzR[Xu{0=`ǣ7SQFf$u[3ip='2=q*lRFKy/$DNI>'0>9k[ 9F,j(QHki.O<1P(-(hfo F3XkW>dxx&"@fz6dfܺV?^{{ L[,$Ĝ?VbG/d[GX*:1h.g۪>LƢCp,L,=ws҆=F$`HϫkkP2Da<Ƃ1lAAh3?{XElĹrJ9T؃a{VO[[ʎrh,|%7[-Ha|yˡ (=z\_ߎ.t驘[ l zV2ǵn"su=/EhWan':f9JXZU"JeRO<ߤ @g&uJp/|bzU`-7Рu@o`ɳ/(?ZB)v>]iI"B{S 4{WH ,Y+ yi3c?^Ca>VtۑZ5&QaGyG|u]'kVњ;bjeްX%?qvY'I sk4%\٘Rz~Jfb}lc?Dt7ƘWv1ȺDE8*`ϾtaDNx 2ECA(縹Va1 bʑaˑo,^C 3H7,e4\g{ʛ9l77πٌ<~kmfpd"ƛEHj4"k,{̩?"L,̟>*.VV}B5XBn\ (9Q0%|  ;#Esj&*j:^]̷:{&^ߊ"gYinQvlif3'K;O\Rtz4c0w]E+q܍?e KIP̋^&@iخG٩{?~M4aªB@[+VZ"Gy&bc Dp3XzPfġ foN CnFLiT6[ E`$L#K\ޣGXB@X`C۷ףW fkX5JP(9(?Bvu&aǚ=KTk΍۷;1UUs:zyv`cK2" XòZ4ֱjxGѩ7`~37[PZ,FS <{up%X#¾{qL>|/7 k^bT}Les:Vby}]dB2Dݱ '9R6KeCܓǟH5$55٨Ņ8٨,L¹#_x!~/}4ffYD,Tؾu5(eQAŵ~ +`W]뀩7O3ϣ/ҷG<\a|/Pt)enZJ^ykKKt cxٌV^^6d""57#f_ٟYX~7(~%ג]]lDN70%YPc=o q&23ndQB𸇏JkE.ls/i] Q}JǢɚO`X.~v6w0r6 7`ZRX}xv E!4Hb1/Xit鵖|B39HFQrxDqnGge(F|W0h'СM~I>%:LYOΤ] Gf~w/6)2iCMh6t:Gig 7J ٰìX+l0X^'[nlLj X(@S)؃\Єr}Z{K+M|$ÿ@Nq:V*(كm-S!nmQFBk)L)N},yA ޤ+4lNƱ6U|!۸mlc hzm M0ʚQVc}f;Zm@j#fNy@l@ϞJd(TwvdX81_E ?BROObi xEȖqʸ 68H[9Fu= xCb pdP)AKO37t Z]D%2sƈ7bК{aNǂPgsS ϝ3.cguIU`x :z_zTؾ)ee%O)a{>*~"e֦C~1\'!DY]Gt˓Ty% $;,nyZn9 <,wd}85` OOTtƯz܇,?/7#Osij.\1u.@4/bo~Z^Uu"?*vy-4dJ@^ #W ^3-ᑢkRn4Vq U-&e(l [8m$g,>j_2˫& Iz<eAgknL;c,7rAV~ІNC%fu*r> FVJzB6{frE6ж>?[,`z96 A!Se!&%5{a.^Q|NgF%TZK4TGƝu\I,˓t0 #D>eXq*Ę<t+vU#44_ʑ3+|^wADŹZb#wVoƩ'/^k+?{xUw;qɥغs'>bȺ]pb+鄆v9o|}yg\\QE5Q@3r/RͶeV:xg8X5I=?.G;;}~qzb{/yt豓qșXZ:x[oǟh|'^ q|å֕2z|TˀSQV|LƪԱDW_7, ^zV)U0x_Nf(92bGb]Y?Հ.2ρʸV[I\X4D+Ed=(f~D3݊njJ5v 1/S{Sŵ`"Ar[Y#0]'ǔf z 4VFv 6PK^AX[vchv/JWdyK, "34pv!5@oT.CH<@=v2iʹ׫0YY<΁W yΫqPfu3# W#3㋛#0w̤ >-RߞY,OLU38ydW~מZPRږQnolWo"[Dnuq4a3P)'RY^ؔ*ˋc#7Bߵ $\geØ.eFks;6{[*N983] `*c-z:S?f4KVx2og/7wPz^ĕ'7 ,;ی^{ 7l0AL7Tg."VX?S'.O_n^1h y5\჋{^|v-fkgYqXy/AXlGAlt574`_RDf)=3]@jfgQ~~eh6X J^T.MH(Tf5(nnQmMc~HYB8S)dZHljFS kϳiC ޵Q5s@`/eQl4L& σTW72 Cb[P.U6jJAxX^ljPn<S#@#uIj1#v03_E{ZJ G9\)<.`?c =6S c d*03L?ڈExN1 `zT Ya^E\q<{h.s;i5`ݞ`LJ3R&qi2|րGܾXZَ9ǚ蚚+ӲMWiyl#cs`Y\(߀V^֙`wVZP|x2p~ e5`cLcSj*pc>?tc4Z7 `g=]ȰgNrKr(fu87%}\Mq,I5UPų2'^z삑N?`4]dZDކhcb:c zyzJZ:.{T~SŠ[2.%~[A(ܑFnΔ$L'K)e3N^@@*˷QAϐέ[ ~*׆[W!6=gpR0|a7b9U ? Xt}͘"%a/7|t=E B1̗|olN-׼o{ez֣eNT+u^NB~ e5}( }j1*iR:tWumWCbA8O*@QDv,Eja ЫʣdcI6^Iw0 2 {x1ՊԑXd/'G8.Bwo-߈xcF,fii[IaM"dȰ>z|-)`*'ǿYzZkSl2êhEPP-y7 ?(|BǨ1ϋ珉hVeSJp F+)"?4}knA6eNA8}iWL fgI0ĕXkh& ǗWl۾~5NXX>mG2J]E,lǚ,T܊?wx`:kp)u`hxPm,Y(AYMTvka|],BqLz@uΕv'cO$ˮ ?wOûD3嘙86SOe^̑{jkRD<hMal*vO6ZFfaJPV/zMmMAW Qs]x)c k}pLWʓ se1ϼ򭫌bvwysg?vOcy`~)>v4NNa0ӼQg\b/Ű..Pg;JrCdeM2u6ƖE; ٬NDLg?O__g4{Nq䙈m<ܸV=%2OT@tp0GOqQtAWF= kSyBK=A;,=A {|잵ŊJKQDbDl;@tmlNEL͟>ox\dg6d ӄ:)iNx=b9@91idjv&[0Igi`^T׫Qީ3M 0^ۛ1`aPоA'{%5H(m!b>U="/ 썭.uı*n` zOᾔa(L2^80H>iRvV)p{.+SYc8F09b#>k.WiN0ˣ>iwVs^y/8 lg3[=1!j,T(@?ѫS+jn i2oQw>_iWv<w/_s8* $Ϛf|vh+]{Hݯ}nZ>Fd(;@7OVb~4pRCU%s[4/5w=Ӎi!z1fN|;рu}'?噳iOq< 3 ָF#ߏ7>xs\_>'S x9bNa ڰއgP,,ΞJ;B(>4Tja=£ v06 ZʆɢLӉ;4ǔWOSkX=mvRa (UYQ\}8NRvޘ󃞵` EK@ک_cn\v?K[ t(|/Z;|7ǂvID@ϲQC ԰w;߾3M<NZ˦ڤ4tD!q<SGJ ]ǪNaXS5!"y,(Eݛ*'KEz0N/HXJƗόbz$O%x&`|Ɩ`xJ !?70zNUp(?Qc3 !l60ͦ2R< 5"v'Ge/R-e|}+g04G{QWOӟ}@Qw3ɕA3/~!n7__ѠMp L1<|(؄q}@$nl;?~+:KA|w[xF/bZ@Hk1޾k7ߋwW?Wbsoŭ6@?f۬8>ŏ=z8{ҊܵdR t\of=b\̐=K G3/| jWɱYŴ?-Њfe6h"~%XmO;P<IU77YQE:ݝնo&ĪͤfDEfĝB!6W>-jZth1Lf5F O]FT{0 ASy,>@ k5TV9le֠T6E gr{pxk twP-i*TY#ѳgcIJ1QfQMgjXnU^9[$ltތF3ͫ_1ݸJ4<7E}f6f;*{;ךo?|8[<'N;qǭĻoV|x͸~CXh;._OG LW1~ V'I)xF=*A+vI-H,YKWk\Ѐ~vr(zEaTXF jxl%W|fD߻vZL{V( lxJV- ʞ c tcw7bky%J@1۔r* &!F^F@ce 9BSDxq;\0 6Q.XIgj3fX =@;f¾]\I,gb %,8sFl4݋ Pjn{ d]R XL~Mm a;LgR(O Wb`3k_=![kf`8KqUřbՊK|y8uvY#<$nrņzT(z])d 2̫ʟ.c 豧7a׾7ng[8uXZ>=xGZjsk0=dӸ͖sqꁇFZ:{BLa kM*''ql{Q=ߊߎ?qc-9wo71λΟ?,b2qng=Fq h؋c'3?ڌw pò>~xGfsVt`W.f赯a^Սe१/},\ 7~-I~u>|TUir ;*vBB3ks7$ 5K٠Šj%Ka@IHablGnˀ$ 2SעҀvE>vi3RENjgia;Xd@1ggȃ4C$'i [mg7:9mN{7VqtP*cZCS=>>V0>J ޴"fe03|R=N5e- VN쳱DƙdpS@:A:sScad]\toŕ5a)aXj' ~+2_;F9֌T1.܎j#8x_WbĉX^Yv'cK¨ylFk󇌲BqhmՕx% 'كˬ1:%<[{hg7ycU)D4ER-1h{nŅ8QѥS*ޓrCG`Ο|9xXoq_S2+;3ɚ1jAB{9eV&Q=:~Na``Qq=xxȜ y y;[{A132iMyE+2X#yG#g^JQ'tP}rN :[46J<a( טd} % XPgcRv4zq>5 &`yvHs2R:- VYCn,D[W QR~ .{깰 <6>ʔ6`4O>VxGWƲ%u+ Xv=Tlh1Vi{8{FӊO|pUe6d΁J{e|ζh>lS%&lf:by-Pw@|i35ĽA>=' D-?}l? QG!_3aFܙ/?4>`}]6%6 -`͈Jc p0☝_K.xqśo}Aܸ~=6W(r{lnlcpXg/ r9{t6:Oē}0'O7޸ZʪKu֋{+ګq_')t7ފO{wX_]N|ܙ8y(h)g{N:I?`3XAb _?Wv́ MAzU\̳BqjE6~z<ߘ0$E:8" mUlL" & ǭdqγY\+NJ"<6tR-u:zM"UǴY,yam@n˖T8[{fw0jXN',Lq1Ig-]Jf^aRMǂ(S|pO >{Qwz^D(%<kG7 5~>Uzd$6W')Jt%YfЗ70؆Κֽocy ֪l9!]p@oHUk' 1;]Gw°Xyd|g]/ Oϝ|XX<>ljqr~wk;Z=B} [2M=7Ě\cĉ3w ]LZ{~ؿ_\_O~5=aGC4ߋQA{ pyw>g7ƒ%\.`W`fv:~x+/}9{xo}%V|pc%61ğy1! C\:IDAT90 $5>t-MU(ZT Hb o݊c܇*q,D:Ș`m`aw"ԝAv!`Q'u2W/pMj5oV%̡?t}R|@~|[ц-RLRQj\E`JٖqjU,A;n/ߎhܼu-Wף_&Q1͙=O|6\~pVڌy4{_=x쑻㮳'^@JX+e)bҜWX* \tSo~I RbQ9Pe" ,\a{X=g;t?88؛:uycuu waB&/uTa;d&X0q5 y{^õ/(N͛0\밳+G?!7hu'daEdze%B;) A@|3Pp2'Kbpgq(Bc!Sv&Aw֣ssX:>,~PpeZykP:cmnp/ijOw2ǘ't,=`V=‚I祡ְ3w6ŶbBYGQVf]X0gILCU%d#|)uq55La}s|VWXU Z oQ{;jubQD K3K'g8(<lۻ,2"h[gL-g!I=p\aY\j93~њ $*Y{my=:|CظdM>m~7bQ~/ (gm)?Fя<19` 46<}h\vjb}+w=7f^_ď?#qؔpڱĝ yS(pZx͋ŇM<+ŗ~w⇷'!YF[7,ëˠ3n=6'ԙq7?xt{=zs:^w_ai1] 1 {\ddۆ5}z3B`. Gwƕo&@rYd4mzt?h'%LAmƓ,P*D0dw6%UH 5یLyE6{8Dv6Vъ_30IF3EC "Zkomn6 ,)ʊV<2lo-ƳˊA"zjDmNJ>RY s 8aHa)6cO@Q">Q#I$ʥU/URیd4ʭ.bYgo?v8폙z)'PTe,{TPn;"U=1| v{%ˤ؁R- ,f᮱ޙ3N6!fSY aw(2;q[qXU^s".2 M V;-y玔X_&Xe| # 5ʦnLm˟H:و޳l\v|d|ߎ^ލ|{}L^XȰu|'.k5,d= <υ7|( Pxܢx)bIFloEŻ w.1`ۮ8r( cֵ@3:a wE5,*3Hn'n3 vP^l&db:c.s2]EHl1/ۘoʺtVR pdB Կdhe贡)Z_zyªf#NX(WLz ߿APj@cn ^mh", 3f R ?vrR,!M.$@cR_{1uQ|ug{SM)g;(U`;⻣Ь}jIwL#kl. 8Ѹ.lqASӜ[#iRLax .YV# Z}4n50lXtv>XXx81e`aQet,VMR\[)5{7vdy2oWv]/~Ͽm\j+V^I1 qwji6֯_lۍ~ hVb~~!~D]<;nV2/@͢.AiMYc؍l❫5h|)SwZtbhqzq#n27z|$^,/},=yS[0uF&ɾ< d+g^~ |&@;S+0ɏ K()ʁVMVckNL[ЊaYЖ'mm7pqFw6ҥ}Xo0Wh?Ϣy`ڭ-vFQ.WDEψzm&lfq:zؼǏ^`' @Y-uG?&a=;JZn'!t9F5|iӎ(.EMW hL5JXnt:C(2|hzi[Wq%i8?+BAV/ev;x@lQeE]ͣ,ϮyE 4F_ؤ!3ʪi@ B45).c(0O/،{c0N #}Wp?$tR߇zQ1%bi `TɗS@n`:9 ntpnF>ahXbV} ?=xi#+!WkScG?\#8`)\ ߎYm,S'>vOݼCƩ+%w'0R{wv*q4m՘LI Ƴǭh_@n\_ۋLu*k7Bwa~X]y+by #vg 'L}~#i+a):Fwmcи3Ng2 ut!"TjMn ~q9&9j׵fZ,E OREN1`Q)L+:qK: n45UK.vmJ?V8 ns& ΄}&d=Ow%l><dܒj}>Ԟ:(R%oZOegx[VYlLUqE9{Wyl;p?Յ\l0A8_ُrǙ3q vތuuywaa~dSM 0grZ>{ Vg?@>LJVY(^gFvnE7;bb2FMV8~(^9/w#6 .c9tlBb2gvY"…!Գ %@'TA&BDB&h*0wvy>PP r"lJloXx[|QX]Ʀ|vlPt0;RˉBq&3(Ft]Hh4k7WcCHHuymY$%V'6;="Þ2 vEeK<  EXJ/YL>HeMwYߵ S)x*KsTJ$6Ƿ?>R%=dy~/ĔyԻs3`rV//t%o.5c'"_0ɸg⣟LoKZ 0eXLߗ?A\|ע:gga4Goފ e1og$ ?p'ϖwbNX|$#7jyn"A\{}泾evXڍ5dN {el76ڵCg1<۠`e_N+YyEf~[Fܹ}ZC$7X%X{aWoߌKWbn(!/Ay=4c,XbD;1܎qťЗ5ZRRB o fc2[xBEߎhn@#,wbwS;bJYf-EӐ{ɏ]wKGO#(Kx铟}",`-)_"+//Oqߎ3Qe'OEß\Wފf6SA}X+<`P";f6~_jjbIxwχSn/fafLЬ4уR iBJ0lT<37OFyAb>x#{OgoFu"*}h/AmZDҗ\)ى!?I@J v,9Cg@E^lmN(t9sST>_þLE d#\2%Ixa6^Qמ( b32(GxX>y- > TtU;6]C7KRBL7fPr`?V-3ViYZSX~*G T#SXW=o?5y}`{(/Jjd'F@pX3/1G@#ŶGN'D ^^!pvfo-5>0xS3q@b4` f7q)`M3Ѷӽ}`V/#Cw墇;Ƹ@۝^|~dq<.$ɼ3ǹ{'`d(y{@Jdb'ڥwڵjH001_oF|BSƴ\bʻsP!fm"<(gc o>X|[f[,2{J|ȩ}Պk qٛlns`t ~Gk_z,޳øq魷 Gg d<ԙ ֥(h%ؠf} Z#(D Ưt !=>di뇔8GR5"lXuZ bo(C8Q6y/0}~!)XCPDS`+SY2QdC3<EE2:}*ǏCrX;A[RR8nO|ﲛ)f(q~*˼'Bֆ[-Cܴ;;M G0<7%KcYZ[^ B0'v_ cd)_XyS,q/^uSpm{}'yi`O6r ) ΤAJ9L_8ڃ a 2۫杛G^u,FM?@@-HVa}rj5<o"NJÀ[Xfk#6Wn csZwZ?~ C?b%bb/a*7 e-q5;\Zl:)Ĺ{x=K Ã-s'ƙowݼ޻@si't{8nr[bw?Ꮲ62V?zG175\ntF=~ H[zP,\;}m{},zR9B9io&ZHeWn_LN!6(DLZҁV mxdXS7rs96ɦoqV]g2*M g٩ nRJ޼odQ ()s3 GLGG^Hl`ӱB ]m9fZi y~]j{av[*?] =1߈?zXčqڇK;[1WE拿҅ tBpv?3Am%/@xJб6(FN2uX6:$Z)6nrpS{U6N,xeVK6W yk|"~kk+L ;-(ɄHhgsc=q嘙1֦VSF5&`# {:Ŀ560_;nHTr,0ق(E6!>erW%h6apCNDgc%*п_@(02†,#\XJZ#R}OvSS4Åx߻\)E~+be4,n_Hz=Wm<Ӵ^O2lG|}E`|| y/1JՉ.2߆*,t*NjgN1%qy֊uH`?;oę`n\}/MD/t8 eO<0 @Eys{#VW+[_k\As66ӟ?V^NL V\;FcqW+T 0jB-ff;f86Rb]w2O-E_[]fҀq- G?}=rÍl}7zG[_Vj4{}2rkZGTۋ'_oO>hxɸqb~z6@ؿ| &67w㟉G~&޻|Ex9|a|'.x ,SQ(dܾGNzDd{4k'dҏ!6n`Ro-gp Ga&M|l:}}9_Mئ[(d l>/* q+[q3{Q;lil}S(BL4Fd \߈񦵺(WE+Pmalң<ј5brKSVzP/8vDLb eI;Alu`G+4`?*%^ඥ_\{9*s(סWW6Zr]lM|2#@A* c̍`&ty/!s }XQzZ{pbԬe Y uV}):-b^g/WOjk9V0._]ؖ"=|eHGR>겵cܻ\[cθ W,bmm܉CN(g詟AR?xU'D=y W+u ʥKĥo7;ҕTnyN߃jO5U@7eԞZXk[\y=v4޻x;6޾w3pyz867N5Ӷ3 t;&z{+ڭA\_3vcqcvd6e?{<GɼnƱy1ק' ]c2꿇Ph4Ô7Xc(:ۛ1(F&lLנڭm4Us9Jr¹AkQYL{,d;WoD̀r 3aa2g``AO׼ }ppjcd:4sl^:;e">S$FT8s|gc 1ug,Z;fVn3״\o`om\A7 7'=Ѐ= r| Knxc"pumb-9U`65xE0l!+մgMd` }zC3Xo ZC[azec}ѯkq|`% :$Fh1g>qШǺ4w7],t۱z;wbֵxg㱏!GgiN[7*N ywvJY[k~+qqËoō++Cy1عKvaV!8,l,1 JX{lTwucϼd|_}; EzsPS<'o߉Z45^E\b\v5n]bMܤ_#V<O_0w7eui^0pNQ'B{bN*{δ]KVAID,e,櫩8.SxwqS O|4:?z! jiRPfMiSpZL=5b5(Gzo^b[\t2Ly'1sʍMEN&)#6CT|Zs`)fQZf ĺ=O{wـu 3!Y3 hBx0týNqNyF_^J1ly &_Nk>߷ұ-&&<3 {(9*w#n*[kf#2ڀ;&Ym~5\ȔP(gf#@װ֫_~CϚ-;_/d޹C`=x򓑭6\[ &ȚlzEފ(wعǟ{~({Zxt)l[:̵E7exOJĆ Ѹw8{k<+03b<wD9۷?7\j?0(`-(Eb|]SNA!'y*^cֶpe'`|ZAęlg/ff?6q7fQ"L9 wY.fa!j9zx`BdRM瘯mVYOcZ"3lL4 _Y-Ǟ'Y6VFuC ]k]a'k;_7ka/O.$&a9~pȀ&|aH"[ǃ7f/}u5H2Bnӵ?]_\C9@J&#t2J5Zehl=@~qPw@9֢f@3rEdy k36fYQkjo%j?i}t&z(=|lBlϹ Y& ;L 2!e!ȕ*5(  L7b{zN}*|}F_KoW76VR.ƒބ:"nNn/fSNTRGbc"Q'Q?+9mZè3@ڶ fqgt9xU x?3*%-|)3n t80`LF:tz#}؄ś|*uul" &Vy.{d+ cJ[ؤGʱ^=L_>a , Sdi 汵,67c\cc}(ձoY[`:XIPP-ƣy^ tYk xOsPvv{ͺ˜]PD&4ދ5d=]q4̧ ufxFv~2mu e^G.d{ߢGv$ ufFnnrt6=R e¯v2 d_yndz-bOTpd08(3-Ve`A5frI!%CT`Qҵ]'760LtZa7 ZT)Lo xB 6y8jl)N2֣4u'tr3',>9;?o~DX؂4YTx'%5no1߽%(9,~w:1cp1|)pƳھGP$[hyg,Fl:ϒm~YhBivw+1DAD?bMنv+Izf)eE`|/#\TFe`4n=ZUYbf*j~sOJ4L~x罷\;w/ &2vgmW=O[|:Hnjc\u/dyԘYCJw\G ajWF,x҃tƀ2SX] ϻއĜúƩF̝Q۫Ø%Fʕc.NuSYrzܸz):iǀC1'[z'>r8]1EL-$J?vQ͝j%*SiɗZ. ϞF^߃.*vPV:.4nw#!X6ʻHj!y| VS "{"a\ + q@aĂ#jRJΎ3Y3oĪD@FXf~7!V…|1)0b>zzw]c@f7ZxS%J,z6VɄKԾTʤ;{ݔRZlO+ 5XBG %nCVZ4c&%UOG0ʯb^<MڇEW̥7cβZװ(&ߺ&rÿ1i80OY/+7c 7Sa,Jev|| ok8{?ŦRX/EǼd{;?9򍰵 轉.gl[.t+a;t)8p,f٧*͘g<פk.r³0-'NŏbdXtjl$8麙qi@z, FO| fNyIgB!֨ }@.~=]2(3vMѓg0;)š-E,u K9 ړh3u42vh0#( "ړl8&k{PR*YvZb,>/6KG`S &#GKIxZL l($1]U4?~ia.ll2\LW#yĦ)Xn :P.Z؄M\b+(q5mAP|:]|mmF{X2(68jM,]h.z;=s(=C4O `e>,oti4 ^![Va-[e?&1&f(1^}x?z@yoP0i>r 7F朵֢װo>`#3QԗWPL3V>B5ǐ=BٟGy: qB<sπ?q`,0*;m@nG{c9*G<8oo9/Ru67s4ƙh}[ؙx廯"LOyE~{^z Y)O-=vPkLB@.Bҋt#:6ff?w![C?hZZOf H¬pe.; >8`q"omb*"ZiAPڬ05hKZ=:(WkSsVͳΝD-{J('شi /|`Ǡ`ҋ}")[r;?"^Bf+eolu⽋7RsO9NXl^ϝC _!0\am$+ZTD'YJοM|B%ꏡZy@ !w`խRCi2=׵ Ш,;lB`X j.W+jRv b3gfXG!x% 6< S_7܈Za=y#QkԑztLX.sG MIWav,߸X׀0/K{rBb,0 5 ea0!l.5o}7x zv7S,gsS.c%j&fVn־i=kaS]Q|OWqK0>>9S8y_Xk~=A1iXkC7SɟEtlY*9!2_.xۇ60Yg A"pYI?gZ[,# iL%:A?ZJRTIK ȱΦk5X6)48sxklJ`B@HTX@x= GT1C k6 {~/`yؤt&Ux& <('Iޛw]MVw¬`ϟ n3T#a?qFP˗/%Ƣ5Nfm5^L[OyVWbu x%LCd7,@dW㹏ozlm^LQml͍ڊΠ˳>ޓMǧl՝> Dq&7Gٷ!$Z|[O"G<]K?ءb̒+^v W*=j8>slT6l_wM*pvw?# 1쑯8%&?oKU'+/GDz)y5\{4(zpx`qJiTlm,E2lA{z+0^m4.:#\#Ӊ4ΰkÝ10A7 )#H<4 #l]*Qz(B?}6A|ʷ}O=y@)"ò9Ͽ{ƻ ,gJފ~^e؉`s{?غhªFdDŊ+a Tұ$&adjsq}q}*+}p1ſt?}N1c𘎹 0S箻Ё_28 %cCdV_4(g4z0̋/?~s;;B&+fǦ` \L%z\&KbCϢ{w0(z?&aG\L4sG X}r d]$C qP=B_ؤ@-&M\ `hksc%]@JT2,E@{ >k :MD.tLN;8`F-2e]o)܉|m9dMeF]XRZG|E:Z{owdF!%*O<70j>;l[Ⱥ04s;k`lvr_Syi,\!Q~#OS\ܖy̢ӊ,42 kP튮:C_^LAIQ>ϗm8}}Tw$ Pqu(E!Qp#';[iq,).P63@FP,֬ 0Fq@6R{WPZJɣsOay=_, s9dMo 5~;Cޓc'Nm܁7lםP,ram+1[ 6V9˯Z]vY=pfC&;Fjlb+((3ȧxTMZQet=R^d18X}mPX1`ٳѨi3m\#{!OP*Ax^׿'):?xXϟ:`aeK@1l#喚g ـ*|51>w&w0/hގ[wKWbms#N,GV2vq1kUZ;;."c5WMtXdtP|2; E#Rf>.`R2Ј(je._:+'@0d‹!(lFCW'K{}@aVmv@ y1aFk䞹 '(: ]5_FN< }ĕ%|`itک 4[4G@&`ÖQC'{C׫,V6 F `) tmYk\F Ζ%ϙ*J[eLMU7]m@\&7a Ӫۄd2ǚW: X`#5㚩J@6ڦnB9oVʠցoH=UjZZÊ52)N3TXVwzvdFbi~]%x".*~LKp\$?X,WX>dLbUͭۊ&XR8p>Df=;ib,Jjt{) r'@e2n?Ql݉cTD9txߏw_#]M\AǞ@Fp?/~U;2F4rsҴ}W_pz}'LK.G1Peх2~{e^NS7~ ހg6OR0]7`.[e^O\0b*IJ brSXQ/yVB=VST,H?s\KNs U{ĉ@F^ta ea̫b1Y^#Pd~kLk2:&B[M̈́Aڈ\އb<Ѭ=b.dˣ O<2Ń|NIE̤V±ү@i| ӍJʙhB.Ο׾'[߈G+>93iVC>'i11A#`5!6զ>XfYGXs܏a|sxy)&?6{KNϟfc 7kec a& Ḻ#s1 ? 2BLUeBtJ~>TgNOҚiB}@PRE4BBo;X; 2Aڝi Z<.pdiY$cTRfLEIrkͱ/OF{R XT0P!kF `$>YPa<]5 fKހÎ<1x·e?H_8q]?zX?52(Uh\ܸq;fgn-6V IDw2v:l52gxfu~^,>n^閥^ i:Ж2vrM<@GMaM1_,wĨ.Ger0h3/u̺%VeK.xIb^aFi 2tۭ$/ XWE VOGkb]#n|[/sŗ_z.HOeG=O?`<УGb D^ڌ bu+0WYntzr FSx2}NJʥ"cd5=ݣ̬\ot1x q0JU %:zy\?@_Ydk̋_xBW1Yۀ{}bӱ^*_`I izt:<$?d<J|^L.7X .VkbVR) ֩G:k2-=A(0ZAOVk0CcMMqD[dᙏmzi@%byoF7‚Obj.YxV(V轴ĦZrUR')G۱hpP~=檠kŦ2oYwKQte 6wI': vZ/_;,#nzln=SCR[a,:⹡PM~\p`jrZTVP덞KG=Z)/9a( v5ӧǑ_ϦS~e7mc@#u$dp*,8|gF>2LיŸr ܫ'tgk026/2{q ? 3x$:{cGTKM Xb tenm SG?~Mjo߄oGE^MSƃ'w7~w";`6=2u=e]OݳSOŵ/}&:NGfȦ(>+k,c~ (~ k}r_^siZ@(%V3 h G͕(V6ǣ#.h*JO"96@El$P/ `^<ʮ*xw>F?4 gkɷI`?^!Ǟ 閂G\dP7!.Bi Ǹ=L~"#@9kG)8{eoZLլw3d`(OEYZح曗ƑcQob*t9Yseٯ,=I<ۭ*a?TrfjmM)fLknA(ǪDFab_=Ǘ=́ Fz dM-zwL=)I݆?#3=x?|*ͷLw)I|{*E_W3O=cgJrd|_S0?ۺ=eoX؋QP`o{'õhWwҋް CUƨl;wbs.)(=T=GHL8сmν(GW1tq>cS|6L[.meMqZq}Ǣ@|ߋ<)}*ۙOԓ<яXolXvo &m,@Z)=tZ{ʻ" D:zh"; g`ͭ;ɂJQ2lxԂilnR5>, ڙF<ظ/XKUŮ2l7`Rce-^[/ʉ*&;j&yDV[^_CS Y'3 ciZ%BXt{+ZˤBor(Y fSk)v`7*@jyit^6_R]sڇ#=g:q1è8V/\"T9uc[ȰYǫDaKjc7qE S0z%x'heTCU^%G̤nFĬl&97oع֝CuG1u"8wwwيPٰ.0o>`[\ڥnߎ"7@`B\ӊ_5OxU0.RQ~gC?ڭpp藫L4z%M|J֙ *e=^|{ P~$?YMJbyzdC ,}Ӽgiַq؟-\,7/zߞ&uMQl,B^n_ X[۱şݡ'Knkniw|=Vn_  6[aymۆE,/9>弈u-6ދcQO</}x's/1NfcŅz<ϜFvllٗ>e*,36>Bs(MB(k~;`̧rma`<4s,og,i3z?Â4# i[L*o~dXG3fN(v וd~{u+jC˳2ʜ9,N:k6Py,YXNo&nKB ^ l9U꠷s>BfCuNʢCf$4^^d:7-YJ+ WB¼=?"Z|#IVq7E;1 9k ]ke(u\LM21(>EL<+Bis-e3pJf:K|C7# `-Qu1D83GUTmuiGRg)[(D{'?he͎ϲ gI=1#K0v&x3}O>ӵd)${k'.Y6wӬaioc@FK gYxZs4gu8?ۏ3>/?aRWϸYI-?c~p8=m♅:B+q;qL%vYx&y؋]/]oWgIj1NSc:_s s*~bܺ?cgڙ9\tWTL|/Gk~ֈcu{9޼x%"4mhnm=G0:[0?g?o/ zwqc1.v{xutq{4{gxxO~ȅP@A0PM~5P vv\KZYL~b%dc,`m5 3|{X mA*߾y;5CamА"eu`)UA,*֭gs$,mu im+P2-WDXvh|*j5Lm[f.3td~OTS: [w`5i!Ii^OTcͨ6P,FZU Tݯ1_3eH.9N623{!' x*-ҏ~I1gXiSvJNuW[{Hd'{!Ex[oP%@ⲡ)j1hX >k(}1JGQ6]D-=d` oǤm:>XieŅܼv-^Eӱ~t:1%[l{dlP^ŷAfS@7+ȸKߍiC?cMZ%u~ 6.#܎Wo6c0AIt wґ÷SLL*'}>)+& biї~1^[_ wv,[d"eW-B,Two.jPϸk |:Ec؅OJ?QvktF(.XɈ.TR1~*4+ָKJ`NۇBwc}҃me{ J k8L[;%!@K] DAkm7Ehb^T|ry!##jn#qI LN+1eeC+mT  ?U{ЫVg:~ (_nb7=ߵK[C{[E׬6e uOlaj4u@|YAS},Z㸾wM H%[eCH\FjK]QlCla9Aj1 0ŔZ\}ƫ7vu!d\˅u@7`KannN/ᓲA~ dunj e:L[f{YV֚Mi5L$?8<QBJxO 4>sq|%2 ?(< O}e^LLsS*<(*Q8&Khx {[+_g>y O ߅Y3yנh2@zgRpjvՑC$=nVN͖V?޿0>3Fm7AuktM2Wܙqd~>:UkXfm9 pD;_Ô`al{?,e?DGNMYɪ;ݭ_GoF߉gx.~8ݱ;u r%7`$!G`}yrL΀:P!EoT h)Hc2K% >V@SAASlN&vV@ٌ!Xh/Ns|`n;Z{Yx=p @i~;*b@U+ػpf0/ ÷ 2)Q EEz0&{&e?He/ -QxϚ6]Ȍ_nykzr0[NjPw9uE& tprlRds T}@Q2EQml݌Թ%XYajL5Ь`dkIα/9  2&`5*3wG >"T$] d1).d=QDBY7D)p+ӟtL͝/Ŕ<8w4Z~w9՛q|d1?&7|_rcgo.(5 2?"ϟ@-%-l-.bcce3+;[sUEB-n5$- C9d5-׬kot3:aC> ظ}+`cOߌq=={PxF+@%\:GwͱGB1""c9c"LE&Ǚr ٻPAi-d)+Ȃm|h,"=+vb䬶^T _ ΠQD#}ĈC!AR/`K %nw-pU9}"Tbj~! ߘ]L~^7]"x E fi-f%wĒ[ajgbiT5*$N?z*5!wϨ>) }ַ7v⺥s|֋3&5ڞ@J]'O. 0IX?3ǎ7>&-NNtoa`3},(;Y rF҂.b<"AKcѼ'#OğEl,Q!2L㱉îF}!;aߘA.8n>JBiT:ۅdcB,;j Flݼ(}ϬG?UAHxeg/i&6ŏ3Js,5Ba:s L"sˢ*6܎:@cc:U|3zNajԗhQfTiXzf&:m̙@qPxiGz}4bSTa9؆h fM[[3f$wTM=[S~ α^CR<ؤ-v0ڋ=v)fK9BW' ~0O- )G2<0Tv쒝3ʔHeƨ).DA֟J˜zPFm֑{ШY9޶FO?Lٺ6=5i5 @5rOfp[Y)>b"Nl_a%A ş{.[ۊǙqkqiVp5̇c,jax;)X[^v쬭Z9_e?u4?o"SP'z> dR<~(~w~/ [C79ԉeŷG~q*sU|^3l`P3JqN#r쳎kSgTgO¶[*X]cge@y+ؠq :$~Ik@]6ݖCuQavH_+VҵYggcƼȽcFh4nn,eE8혛 Œ4^FHC8f=cc|ϧ JX>nO ɔdgk35@ !A-T_1V?RyG_o}`,>"m̛Rz/DhP,Yzb'iKW{Z?e~ O|fz,Y]bDex`Od1xptL#xAyB;XrY_^ ?{3HYkp1 ۿ\ɸ YR5Oicii>՚yF_xSսeUIǽ-X<)ՉQ8_ |:`MTMsk Ps+[ 6#30hjY$37SF:QD|;5S/SwO0}Z?v((뚎 +je3 uNV0Y"8C`9c*s@gd))9˺2>.&?8h3'+/ɾRLL[2V s@LZ/Œutbǰ:HӮo._NĔC96Do2'Q=1V>Ɲ|#7y@`.FYÄnL ss55}cwM|?sMWwbInF[V0lַÇh>{¸+= )زz0+m}~TJ%Fjb'hIDc:u+jUZ$&Qc3Y, "\nw| r搗6ϳS=vanYwp^!64RnKm&!LAzFk@rp̣30H43&'G,m9USA,ojm cv,S:TF*fǻߦ*ZmϺیMm$Ōmj>"{y"'iS4ڪqbRV5GY;`5Ce&.-5տH mtTD@3jTfbf$nju٬dp30+g(7r܊XcY;[eȴހFXcA mW>[We&'p*sb$NIsg>"h'd}Q_MpK`lxqX}dx֠(=ً0;XǍ07;x/rWGr1g8}*xieNwBS,2 eA!FF&5ɣVܰa7`R,f+6ܸ &V zb#65o^8jBiԠ)V,^9UduLcaҕB=Xtc6Vnc1!Zktegb[> S =݅=xK F6^K(Qͱ$Ϣ.~bL},:%1/P{j]}nn0'0ˀjZ(5{ffzx7GH1UtigJ\Vb}U|/QlkzwbkO>7 舌IDRa$H֌ .}p%Uc{eYP )`:|;oF>}<+zֳ؅/ :csaj8 \%PݫW>'֛o;o j)Pߕfhv N3u{@{ dA~E W$w:p|˽FF{ѻÇyvx.;-z>}"C1'{{J;VPy9e%+ KfK(:<tgɡlFf﹂8S@ϖXW_?KM6x ^m?",aTlYt>BfgEx5U1eGE[glwOFqi2˝7#0wcM-5<{­W\3&iI>ױ?(ƞC_o% ,>B61tF?L֡ 1vha]B`Y7gswF zj-f 5 UhX}ܐpǼ8#6 KA&'1c~pb}BiU[u) @C) , JQoQFVxk M{: tJg& dmHs+7e`4ƟCT,nmĮ"mߏwn>Mt Tnldp?(=m{'"„KX,հeH/oC{#<4%ugףX L,*qӿsqzvܾ{7Wn4V黗D=o2s@J,D OU >wTx7CWZQngucqzA{abPcˉϙv(Cb1w5ĤE8'x^ﶳCxic91TYaύ0e)w/ĵǟ_mŭoD+V3yAhmykc[Svp.o9qxO_ ,C 7/~)j8:N+V)9顚3,*y*o؈1Zfp~x,P(vv&(~?ZP8sd`,VH: YG$* JR1ѮC'x`eA'{>h;X?[^Og t^&Ax(KSeƃI4ڭ߶a#A uf̽W%l!<_63V|(.B;\=?:koݎ/ɟ{ۜϯߊW~-ZȢ % >#^]4&ޤ\``ျĚx].6cwofqɍ!c"d57^C]V,E]{<'i}-:t2Zݻ>B L\ q\lX1σ)GS Iцx9؃#?s+V2f"z6^1u;7Ȯ[uALA"6575cr!>&lu%O*Cd4φK.brR+<,Knn$* "0Xe0(X0G"X345>e|s 34Hk%<‚׵b tZ/ S-1*ڄ sm; "$_~$BĊ%n8G疪*s)d]1qK{`m/.ǂb4N(sK='Oe8jecGֆ'Aj#9,qiG'~dPJp_ V/h?'M>t)Rݰ~ܼ6r;rm{p|/4z?9R=0%}'_z=^-c_hɯ2v_9DBe I;]Yfg 0 -=9.;sVۍZ?#*@_/&X=0󷘻LtOc< uܪsFăf1S)ĞɾlG/7{;[NՖk FlLlK; -7[bG,s&0E<}J04h3[  ^, bL.7b5fD:>*|#~Oπ7~+~eh\:\zN bՉYS mlZ GKc=9D?a~øw,b?l<ł}`JԂZZzz7zr{uc%6Ûw0v)g YVϚdYf$v˄2[=v!x}|4v֟1Jvl\DИJ vwW]}fkr;(* ISc\1dڸc fK,m '{HC8zZ>_Ŗe\?B7V"[`O\BP13=D҈yvOis&y'/QEAt "@X=7u\(bT$QuZ܀Cp 77!z*a˿bNH %D !5`Ao9÷UVfĮ1Nw N岱|;M r ㉒Kh>ww#סQĕ|(2~/a3τ.%C(!R#.^C1ڈ{a/Giou:\$SK;wN?o^|!Gv0zvNv rڞG.cuL0A݇.CbM[@,k(iL{'l"9^xCo}ghwUi*mTC8pe-Cbs']c\L.V͍z͎:&^@ҚHM$*{tXr\ ^hon9A˟ TԴيה_qČn(Ѯ[bS&t2ibDifl tYO[~7'cv}$z=.=d|j >O(4.(o;J0B0 6L^._!#o%(vx8Qғ7)p WD]l55Bz eO,l5jܯt^d /p#[OK^CxZt/ =(zq2ZZjiB%)y6bsS|&fE_ANOcCj C34*6ag͚a&qC6Pzgۆg_730׃GXf4Q:|zG IFjc@+((B$`dh!1xCA mLZ&]%x][1'(bF|sn;U>!~< n*c@f35ag<*ᆱmN4aVF^{p`ːoPÈ/ NMmdU<(]AenjjJkJYG0TE=@D!@uRm{`{ HEİ?i87O 1Q:(&.IUꙔk›΅O91Qphm|ptg}ga-VW:Qg_j<ӈd|.!vsxN+[_ŗ^ KUdTcv| ߻ *7W~#q);{xWqd,Xd2({L8B0|:0fݘPj Mcnk V.'D Ƅv^[DI\r 52!f߉lIVl5DCxX@aj8VZ ^g $co! s~+]G(g*φvj .RHКk)La j<ӧDq5*2'槷4Km`iaKmKza؞ )Fn<,9> o0J@ e֝eCPa|-eAm M:N(aK: `DaI溸K\sІ[0 :Ií-#1T\3~ r2;`uKi]A|$JZF3K̏b2)Qjy9!9G}/*HfCch-^nt?z>xpTM[ b;F–[OLV'QF :42C+p VkQ`v'@{0ȰS VF/*c$?\TR0,vU%tt|58#MX!bazN_#=d` dA=^7j KSj `Ybo J]rpkw%z0z^|K_?tp&bF ;0HcC^`"-&,jcZ&Us77g@QKƻ0^_YY5~Q䠽,3er'X ϹW 71 ݡL)s:L /V|E/0肭Ⱦ<_Gc;)O /?h6Pb"B1#0" <BI V4_f!e \n.VDx_CWHftrØ9Q8++dڡa ~Gw@v 2Ez{o3NB`t+}.HWf0ô5ȳC*/tqy[oy>[jvyħ{4z 5Z/xsv\1ó!g.F2@,kRU&/BN(`xd"%l`sm4I+LkX+y\7E,hdkXiעqilngtmUmo ,}#.½vNc)ıaͻEDf[LekPB,Wmbm*)fy 1Iu^25%tVClA< .v4R=^UX-S't&!8z D:qx5P #0*Wzj E׻Q!5dCk n9POJ]J%fx0Qn B!󖠍1&1k o< eR]$Q;Oc2HD5޹y#`I@Ḩm6%-3tWZc٫q:@En@Ǒ{1ve+$lҤsbT@,Fq2bkr!!{m 3 m+c{9]ϐ-^kabf"SӸ> ^CJ4+<6B&Z^O-cGf1{MvfϾ@84bo\TMA'Ĭ{$QV3 &34^FZ|WL+c} B%X aHER-VJf[ ܚ#vuI wѿ2]gdiaȬUnuE cXiW\hV}WgsJq$1̋q1n wYL,֌w͝qn q]9sDӈuh$:0^%P[so9fi!w(E0 [w.Ә/eK ^`)*&yO7$\d PWEԑXRYC7hJ@𒡡wZn4:*bؐ:vt5c#ƙKmx}Be"N:#3Pճ#(-Ql`]jڤM+ ĵn̸ݺ+>wC_k>/Ƌ{RL*|ñir:y0o#ƤZx+{qp :7#Wb& Ta6[Bbg6;AZ,:CmF1Tt!Dh M:;ߔP`q&9W6OX5CDzM:sk1ЬFQVǔٚL} cCTUJI1g0 oww&AËfS =k$Ezo>3zj$dtv ^rX PrEfDP:79_`|,Ҳ>=;ǚMBUX7*Ʋ'QhTVk7tW7.(ƣ7TK] /E94&*Әi@D9߮ۯ*Z5ǪIͳR_K3 XVP]uNT\nC*Z bLZ #`݃0 7ue6`[K－wW({1j .U7x(^|U!>v|G a"9 LLeZ<ӟ|3tA6T|C/^*ϟ)?iKƾp(=c"Jpף(DHC:MZ/^ـtohqtF?ZVC7Ki6TU{"8ϓqn* 'n'3_ GgGq۩b0U7.Ml:"{|Ͼ&rR`L»et]~787R<5@:⪌ |2VLVTlPgՁyK.tP/ ; Ub^ bY]SB\7fA:bb6DiMt h4! cr }9~hCUxZPC)vaH)@el!0kT[["';nq0L֚as+0<\* 2!xJ1ˣ.4FXrլtPaMWeOvk40dAco3@V Bp+ 2Nuk˅%ò<{؏o;f(Yp{fn3Oy,M*Kk~\ 8&C繁K5Ȯ@̿ c8ჳo?:j2U ;Fِ( |Ӌ3T̰s[QAyq,/%J{M>N7\${c\kB=wal'oѵ9Gl # %.\~xq ܓyN <?P;M]YPaE%BHC0!L5C_ v;KĖ]­AsVL_t8'1B{}xN˻ߊoqͷnP 2$}Ά")!L:dԥ2A_O}Qp(CO<r#Sb< h܋}(v%v`a^͌&BK:JO0n.e,#QOQRLK܉kXP$2^Rm3r Q.BT%#-[/ZO_QFA,zf`MAW oލ,NRD E>ds(1fh: 0n"B1]lAp3AmW 0уѴ2!lv2ﺸz .]CҬn!t2q) ,rGKm\ IUt<EH[=0l@"GU~ eAv1͵dMqPxQOcήZ&"pͱdpI n]UB[ilT`;6P-"WO\j}P# w~_Շą qxaZ7?/xl7 |rk+mbr,#V1Hsҹ551+L@TP(.q?I<8 gVO 0NZ.~x!7qق߽c =6}wo Ͻ/oj%ճ ^+6. 5}8dC- +ôr3G I4u+^[أovTWɂ%rg²ي1ay>vLqʖJ*࡫Q1Wոs߹zrZ" ~?o̧<^"N?8n~٭.˱)'Ao <(J$ ֘8˙IafN(#a\;MJ7PcCqr3BH[iWH0 N(U,O63 V -¼J>F%D5%d8P xG;,f z~4x<Pp{=2)i,FVݮ?۞Ye6UëABwXaf Kb7EC Uip͍M3ĭ?(uR>'EzB6wLxHuٽ 6 q,4sN*:$ahC`Fx[TҪTJ{9 sre]nyyw^(# AzY-0ċ[3B;x߷q|iuc|lb>PoN9ivosK92f ,T!adAL&[>CGlL\t9nLe&W^\˄2/~>Ӹ'߈/eEdű?X8u _?/f#W?~*3e~ِ/|".^8׾Z҉?_bb4}Z(VLS{1={x*I*<| nXӻw]0%20S\괲9 #L $ava S Pki˘>M0`a,^0&ܻt!([fՓޭz[xZ+:R8<۰w0g7`|f;fw`iPlh3cTi{dcy1Szf kWe XҺB0g<  y^d #1=Ci4Ag蔇XA5nz"_#^xs} geQX-72EAPى;v|n1q܍?B8` 0xW Όq1!:N`83\o9>ascr0˪Owe]>M`/#-|(NR}CwY_;WC>Ӌ [f[v4Xg}__Kc/?;€R7R_Yi{qC1{KP-ydZ-Xʓt0"(XZ-5fyLUKlcbk]7ji)c>q[R7aJ͜S8\P3y]#;Aʎ< q̲y݌ysz,$ficegNz4AbHTPp2*.50ɥBS.!(Fƛ] Yru4,TsyQ!2⍀!PKQJN5rw+0ϕ“h]+wo?!h[JIX<#Zj K` )<6fXp )߮B>戶x,M1OkA<_sof?t`R\,7 \Y/jӟ$al-0~G>j`P DQш"Q35~7pqen]d흸u&dFWWػܢ?8& ݂woCыwL`3t=ğ'_Jq|_GABhd9{'eƒq<Ϋ{ݾ| GH8Vg0ϞƑ@xe=@6aƝlhvQc~Qg(hZE+JU(KR= =IdBVRW,i,3cIU6p_ي٘u ^ b14ee7a~C9__ח'KW3waABkV>?{zV\(Fǃ^٩֤_YQh`f\ c#yf?9- VDOfǀ!᪝qΠD[* : z͙y stc?3J* jws# kpeIXwi2%H@'@!d/lXĿI ouE`G@~^ܹoVD<#q)˜Ch &|_Ud{1f޵:(Yt]-P!bȵAo[?x5ݽٷaSWWZۯzL%[}[ݽ==$\ɺ++݈7o{ ]Y☸;@K UE1\1?,^(v:e&Ģ3RMag{p3hf;wtEŠ6sԓWmZgN(=Mh5A͛G3skja5&nU]7c^?A\^FVCy u9s敹a4 ~UupPy7v.b[pub;wbzv׎= KBoev'lD| ֎6vNl#ʚ< CoH~oby~ ޗƌ?U~ITz|=wLD69=aoDv8$@J1߈o?#'Tj[m~j-Ă/( tS`D㟂G~+/.,f@ ƸĎ@ 0w# +_زր{OLv'׮\/}Kp4)]Эsxd~qf1`,b.:3Q>=ȍ&=FDZ7a c(V3 &Nb6zL$Ϟpnd@<Ɓms?ZL[Ӻ@Y_ 3VEA=u6&J䩶ps#MxakZwGe%N㺳'e;Uk(a,F/e/2mU9yg8546/aXp #=qe?J|h] f6 ^Ԛ<7\uQ4,07(Xè1Px>1@](zQcpj[yFvwjoznPp)>S6[eȹBisBp goݺ 1h>2w_=ԝ6V:ޭ= L*O]2xAgHjnkb?][C{`mseH_Af -1Qy+> У;7쨏$o0dkwFc)@@;?!`4Ċ6kz2`daA>1*x9DP0?[ ,G=''x2.jM½\3sx%1rAswEދ*(ƥƍBXc^cqad̨QVUzN JeNK,v=@jF*24>wuǂBݾ"@@*6*x`~c:O/hZ bzEW 1>]<Ӊz@\&&٨UrLke \,QF>=MF.b4!Wcv¹xz[#xjH"^CAqT-;!#Kr, 晶S&s"]u@xZ׽Ϟ %gq@m?_aٸȌ+ϞOfQө="ytYops[;K)%kUBHEmyc6 T#vۈ%o[{*}ޝx1yo^|1se/Pf] ]bxW^~n:1#E[hEՁPJ櫘~A9\@]^(| TѭO_Y#6MCE/;*zO4FA}0z5}bdC~܄[dU&h(sk,s #j;hH0g*"`w'O_Ҩ٘r{+̽W>r."H6a" H#mu7Q)˹CPVbۅv{ `:4wuw^_Xd=n>WOƅ=QTN9=004kp` ~l1'gY ?Rw+բ[/P?|)XUVCtL҈4H9niLZXTO*@p5 w>al6C (\Yq,A ,qk g?Z|?+$0;xPe<^Z,G|4?h@Ʈ{/W] 46c Dk*n0O!M5.608;woӔ ^Iۊ-B/E\c7giAy;՞<ǸqFg")y78ʯ|F |*;4іp7!lsN(嘐%7@TZf⸏G_XحQ2B*N{}o\;;xpz7ƅx/! OY`I%;gJx|XT|^7ky[:۹c{[n> nTbG:܍/⑇z%~ҏ3WSO?>'W.J;M[tp,>#~'PS॥0Xb,ى(5#'A"h%ۅQj{ۇ]ڶhknbVMaxyt|!z]'F(ݤbO<[x,&Н e CD̘z^@// 8P&JfߓhF(M6[^ӿ9<b A-lK8uոઇGBt˦(54,ݦhh @m&VWw%ó7!C0 ˵o m\ҳ*'GfY_Y!RhtnPzz,^3URlk+=1qA G҉`tJ[1?\\w#o``n[wĽ^x9y'Y7ۄR[EfaOr$`#Ƒ?8W3M3 Z:[QَvBc5΁ٔop5d?{)/o#ٰw?R\hu≋'|g~$_yxg >||z΀Q>b%@Hs2䚱돻ۍhn5>P 2` e%BK< EU=\fY 3G' I7(3U<%k"Y?3 Bƒ +!}lx?X#3۔clbOp&26dtY%]gF.JVzF[o#k*1wڒ@-֙"}.!qۣs* 5nfxSNn2_خB\oDΐ` >Z$N1~SOb\p ʐAghV|t~]D9B.BE@ 9hc|7i|Ne枉|4ff 9<Ls%j1>e|bh6zUa7NONaEix{[??W~џƶXs'd#KYpW<6xw #y~pn;!|Yb.z|Hۋ}36[śog8Nw#j1aK];(CW_h?!#q`,NSKmƳ*z57lb#nL"T}L#L3dU{|NgCF= 2ԙƃWe'uf ` ƃ7r7|d1>Czfu2SL%O0WH|ےZ/g(FEbr`;wA<>{|R#?ЗiTn^7 oI/L&^we$CJC$)9Xd(fKlEvy;wh5ϵ>#{ 1몉щ"5D.ENR;"!ե'an$&zdE)ưa qٞKߍ~[qwpb"(tbUF{(mŕK!qWs-N[]rჇhOw篿nрhll P&q%<J7=TKV<&& /VLLWDlg&F8f1a21XcvSC<{>Щ4!*PB.b.3|fχW`#vxV\FѰ peW{bTcy=46T7񋕋~YoͿ+$ >|$ p¢ i,wFGTHv!S :^Ci*l9fK-X,-Z1V ߹w/cW&п^/N+^yw6V<"q=Aj]H> QDŽV g?sJssWY٨ W{Zlu\IFkoG\z) f{Eh(xعP|~2z|xx!vv@<ߍ^. Yq;.ORJ[⻌7=ߋҳ`L##*^Gܪ[ixow 9nJzd %BIx"*`9GH#B!Yqԅ*E*"(=?;DLnA5C1A L ! ) 2ѭN7 bAGB+Ubmweu㒖"f}xX&C3SV`X\s 0^{ƦZp۱L^j4wZqK 1sbKiXA5 =FsY> k'rhU\cFI 3ha"Xf:epG)'(.qNW|F5K佒F(Jl-˝xyoҙox D-~ %¡1qA\gw2>l|gC݊7p`5MPXV 6ՌUCxy|nf7Y[.F8QdW9NN1F1kp]j j~U<>vucO?_%g_EN)``^k;~w]<~}m21N]}x9[v 08Xb<X 3mt,@m:--1^wd dV>;,58ݍiԱYe ;[aC zhԍ%B4aH:Fk_kla^ó*(䒒M16fes!fzg~sz^)r>5y텷.N6ٮ]ky 1@ʢ#Mc[k4Xk&{gv*qiwNy`0 4N׹p~R0PK$bI |+Ur#7$\ SdFf~#B4J8!`nW,Nov"MiliP sW"1qwnߍ9!< }4vvi97 מLg# |b\(ly<].W_2ig'@ēxͼg(:8p^x!3?&ADWUl>a/^;:3NS^FG) *B=ϚjL,[#9q+3- o㡧BdЅD.m=/9>DU#``JAs?JZ1R~4`(NVQ3`@s Y@'<}M$zEc_WaqCT&L횋G!gZugf }&SnJIw CC@DHd;z&]l[}vukWGvqeG8==ѹ~RSjcYcu2?sfoݹ)ֽ{6ش֣Yf` \̇ pR8 N(ojVfݒEeҀG89Gxl֖6d.f#V#\j2&$d͵9 \62LXdnA!֣1TxNJkzNIWTxZXax]N9&3=fB=*Z>DBMg𻡇+, PU)Á(!vеĜ< Yc7s HgC,3AK^qE"'2y52,YeVM䛉>XWK\^NV,fkQZsyԪã{G' z:!hXgd˜2K65PfeXnB Oa*Y< %3( Or0e6ɥ>PQj t֭ xS&ԄX aN Ki0C@zV1"T/XPЬK@LR(d @n`+qR} {c~p1.o鮖<`sC 4,D ']pZmW \/n!4J6Xx 2`5}Vfpl~"۔Dfɦʎ 14,Үd$H Uwx]tQs=h3ĸZsD]pI pdldo%0x0ÁugnJ~(\rR__V|շƃH{)be&޻sM:a(B W%1`H\0%W0%UhX7t"&P5WXP@@IE8n-2Pj~6~zN+~ϵnW3?9$8+W)ad(s"\e *0 P̽;3s*L #aPc,&x޽!E7^D6Pl Ml25!G].`BB: @`RƲq7"z5ψg[<^~ÍF`uDAs6v7C{v:]<E<'T (PĔimfYϮFQɽZ@*0&x9ĊK4+=qT5ǝB)^*d QeIK [ے_ DŢ!$B!rl/Hu]KM`{jM+ve'.l[=/i'\sqxO=|!&8/g%e3]&JCPNOy.njT܀xiwxFFQTc2zР0nܹoK/8Eϩ;caik<CĘX$]uS.=t&PՓbV{'ׅ0YDL=ܮଅwEh]fǭ:uG?g_9׮]iB1 3OۋF!,Ai^ ߄cFX ZGlffCM\{1u&@L0mv!P(喫fa\Z,D;^;R18Xm+ɠ+] |P*Zloy&VX?Ii c%ddD`\.luq7^{ [\lm5XU͘ݗGdE1n3M Sx` *oͱ(SNU1`Ȅ=c5>, aX"rRoe.wr7s1kd}Deai2#kJ;461P&s}d8^[(cr j(if7F3ӌaSWz,EiQv<ފvofA[yב+Mru/t2.g24lo0= o|%|D }TAհgƳL؍y:Ig'"͊Cӕϒ0(lkՔr+N~3&&x}Ĭ LڭPLm2|mSŔp)  v`0vytX3alhxaL4x]bdxp6 34 N#/˜m(g7Y&P$+{J=˞vr!x<K=|>ӛ"XZ[> []_D`6jc<[a۶ hUe:kԋq ;˭ L pƁ1%_.3`J}MVL./aˠġMP(AsQp[Oҏ;S26|ҫclq>G1O:|3ڨ:$I6"_?W%+7y%B{6"r$>уuLCgD[&-`"̳񪃷'O|SFfÍE*Ge ;Ե~\g'!n+( YNbύ!dFA\[np6n{{;v.z6`\9\ī\f,Ln ֿHY3"snZdhn@,˂glfq (A»̤c0U(דM(Ŵf7dMh%T[e3hd՝q֒7 Rxb\> Ö&L"H0وp@d^ nAn@. xsP#̔ s$/3W7cQ@q ft+G/Zc3=e4mA/Ja11<7]~{e}gH\}z,qݷ$)?O3PeOFqDheMG;7/*F3?xGI!Jـg7# t*P..3 aFIuU-յ0Dkj}`H~]O3O( oּLmg9O?Zk5=һwڋAhndNE'~)Ty[8y(1+!O {1&^*alYy=E~aӑbd^d,6tW% sP6ĘWD=!IeOԐVF=. Qgx<^ &3g=5չi >4@*B,5ea߃j 5yFꉉ׀P6 F]7am 9N*<jT\`M^6A_r?žc KFЁۍ0.fY<"z[ ?2i=27qd7[x??ޫM_?,Ta I1H'$Jr]O?0 0ݰfEFFM>8,T( qiyJz @ofo幍r'^yJ7·:/懓1 &IFOYva-"`Xlݾp&h{ie#*UDyP#Io7W!Fją`RKV {xPD(3˯~p~ Qqv֋ng+a Aln:P~!^ȱI<~gӑʍm~ns % s[Bܯ2$[SN}{,Ama2؄pxS>X'k M/DCIF ,#6aNgy{qa?\JX I#c{ˡJ"tfЎ)3_n˗KP6o&Dh̯jCDazR2_4QVe6k>*`dCRC ^ĿY)YA <ʼn9̄|V"ޝЇ{ ?i Ne3SBYI0:! N o7Q֊qx/;q/7P~dQ A'gƅލ1Zܼy3[Qt:`~Ѽ, ;mVbB~~+.{g f+KlK  t_mϿ = Ӓl Վ9Blh`߄64zy=P;$Q1?#tb0#s nz@n2`Nʫp yMl!*H&0l(D.ZfZf23};u-> aQ3U&EO6#'k$i?;TxNw=k-A-K[3歭z6 n~'OhONCy6~~g/Ň?8L KKߎ < f8= ʽk<^3Z'>1>W3 #Z&.b:A,5. i-[DPgQ?[}JzI5B93Pi"(v.쵖K{.EF5)-B"h49utxB8c.Lw{d. FT0g۲fBa혐So"t/pba gnz%o&Z^=PӰ P&xx PƮpO JV駤۠ G,څGrvwq7e6La,\5ez*ݛ3^A\ChfBK;B_V6A>r]PBj}lq(Φ1sރ?ҝMAyQX5, 5\gg_g pwp0,0ve>НefX]B658.(ԝr~n4kal׮~W;xCÏwŨ^oşKqt-c#wxmp#n޻"PjU;=i؍1<0C֕g!e!b UO˝dt0 ,>] p0 =njZڼ 4zѣP*a9G8da|w;'=4¡#QaDf(Js2md(B.\"BBL!RxiEư={!|&dD'0vVVatį^yxV!H  yqEȥLגsUbziX6IL 1ySEG9j" , #vω6ʭP{96â\YHAcOԸNNwIYilw }<7aels7'Kj>n;%nćL>XǷ9Sdv48=wݎǧٺi#S8G?Z+QD:nQ̈g+u=_xk*&/1|+{Er aXóMjxl iŰ)ùpW_K$5rX5]u 3ae +@3V &\kEFU ȳ`؂gi r7 `\^mƫxhde7XM B:Fg=y(@V5%:>gBU<lYU@iזh&N5$UfW/AҘW<5ڃx}5@KфȭrWwiX=<cIj@2(_J-Fj h'Do3"ULd~9װF#hSf9z6v+v$|3~ŧ?øqܽ3Zc\-*}_Qx,`|SL"W&ӆf5}[u6YcB [va`.3F2YUu"&O{.Lc'D.`f-(􀄲V !4̶EBө, kIDATa$L5f>7bR())Jc]]4*B7@X=%Jsר BvBgaAh3E,rL]@sdS {CܟcX5=u\Xe^xOZa{̹>(i4t0"H 6tQT t1> ˊӱ茹+/QF;K !hqJ>R\r3NOEDLBi03@; 29SZQ)* ֠ɷIOУ]i{%up" QOIxzvwo H%.c4vcg.6c"sqN/^ubv|=8Ny<ømʛW4} @NӚ&օ!Xh\a'Ϻ]"[fU+epƺUGg)`4AϞP{Jw^"f1=puEg!ty$!k:P!$^_q!nE##  @1@ \V0@&"FB+36{(tpW!@/ Kaқ Lq)8]'̵t>vsz<1n4 O:{k@2V gېCM f|0bC0=;Z!<ɍ7]YRW𘪩^TĔ# pUjQAA:I l_g4XIl (q_en$ws1ѓ-a\Bزc0/3vwFx.3Ƚ] 9h\S"[wj]ωqeo)Z|&#˼ Y c>LWb5#ƍ>dǠV'{ {fd P/!h9e,xg ne~[q;a^c#H7+ v(R,_װ;q3tO*̂yzqS^z7Ťv]y9bL1$`׶B>Ȧ#%lb^/RlB<`*ް݂(G3QVNiѭ|j78{ys2VGD˺{{ pW4\*g[s  AvY 쪣 ͍*u5b\Cj]ňp/W1P5(hi,wuWc` =^ eɞ<+"XYa-M#VYm`_n%|- K~w!f==OQyUl tzL Ő2 =w M|>IJcl& Cd,{j<B^j5v͵;J #jq\g5~5)2-004Y AZ T7A$G\j%t0fWϬj\=3*{k\x#b [MP`btXR' ݊訑77_z)b{{"n|+JYS4%ռt6L&PdwH–vڶu]„^Ɛ0B@mU54l^_^h,Zt$qxޏB/6F<ag$x\y(>ƘCKkR|*^$aBOO4MVɿTPoDE/MLnl؏.YZ T`Bx!pԆQ-JT6Aj05/&70/ f\1s=~ [iY5 |;rcCv&vn 4ٳk~J gҐch8 QeBjQvf S䗽$S ZtX~\o*wٹtͧ+t5#29Os .;O qsI5䂱Xd762kDXB?Y-FIP&O82+ Hn,X_s̵}?K@!{Bc͌ k-^/ǟ+eQ:N!JA&dPcnY4@؋=0n ^LchP Dar<ٹot!%Wsm]Ji 66f1Zu4[KFr$q *:*1>b=ްfJN8wk6(c"1z fJi0dcyKM0|s+6ȍ?B` {% J1pϬWL5 Hû QpWjpM" 3We{gj.0pŸԹt_ֆ`RV2.fCUi3P`K*rGcs YS1f xufb.c| ^ZTÉıhȍ]P^OíIn[Ma^e5~4D8ǵ%!f"ήc3`s>E<12t[q…{Gϯu癘Ub .x.A?RaRxR/Y݄17qv$1xS , REh~feL8Rݒ=yhiP2o!![]nncjnwxƍ(/ 1V4lqzPXoT%$##kLR|Dd$~BaN#mS8;}9Fȳ,2&CЙP+m6b9!>=a ` J7eM0LA+ |p2!$r0fA(l e"_vS'Ww0NEWFfƏX y ΃Oϰ6W|un(.AC*UŮr}+6<ƒ-ǡ[Y:5}Yҩ^"MƺrG,:_磠ʐd]C/W Um]Ǡ-Ȯhc,3(Y c1y /VXZ67 ++=0 ~*}̉sQ8"Ӭdc{WݻxxV:<v)0űcDYn;&nkn#LՎ6@0I$Dg+1#x@ <,jr&s2-b \#YFFh$A&/5 ]6썲ҮLYo`!;{x88@XE{MoAOu ~ʕ̓FXt_y/upfv/j"ck0kPs+k$6'e j}&06Qd՗O6@2c0T)? t³*ʥDxf7Ý Qܹw7>S5~Ž8ي\=<~!*A %] 56p_; uiJR⣠êdCF@ѹNxwz 4.)xgrdx5ӆ*!e/~6=,iBnLKXc20{T㒘fkDǮEHEf,؟h 헀sE(ؠÚ1C s&MSIM(ʨ-'4Eyl/Y. <>iw΁ ?}3fej!|)+ 9V&M7F^6Q{A+v+-Oc6<׶m}nM,øT6ƫ6HQq*h-f0㤧,s٪š[}wZT$̖pBr] WV1<@pC(%ܧEdVZ7R jEs+ ; i$&V EJ OESo8O)'$Л.1-_]۹ Q\{Vrt|;{7oƽqtWrj4=; S)Ns7Muƃw5d Qo^\Os8:4j{WҨǥGƅk߉<0^BVE^p&[fU-{LJCxNرTht(™p*Ṵ^1@j4?a;6=&x(O- f-砯xݳ1L :aL6WXRf)Opa bebfU6ۺYeA R+L[ri1TD`lɯ 2)f&I7E9Ra )bQ}Py6VXn=5- Rǘ)bÚ(L|\=! 穒a5kJixr}=}0l|c(iGb]A֐ˬBdFM:%(1.m:ck, YL&;C♧> WVYu~r_D41g?l<ոz - "k> iGmYx8€LA ~Dbo8U{aď~G~g~c9|8;qpׯPAn=R 3VvaAH-`jlagdFbC"@P5u] Y p@DžJkMg&I=θcN ALFbov=LCgre`'-Wn49+Aױ*s߀NƉkM [U56UQ͔`SjKi Oy7k U,x#%9UlɅ5BELHvd{fP`{oM6G}<镡-%l : 4wn~w ,<^ǯ\ʐ;G!eat.޹?Eٷu.Yjm>e2S)*}bA}ҋ3xJ{~ԉK^\}__}J|f|+/D|㟌,Ɲ7_w^3^L c?M8e|׮ӓʋDXByxl]h*͡+p#_X?.#  \\Z3M`qe7F7iSY&=n +ڱD߼[c E&yTF^_` Vu yN0SW.MH{}1HfO'^jބ|S, fwCla|R)-*:qvx?jq G1'PSi1~%Z~vM" 5*ϑp~.e"g._fs|6^qp vݍJn7?L ܍''J~3Gr{sF$eQ[-KxrusA,o0i?ڋW__gjnGkIWϿM۽q4%Sx ć3OǸ4q1ؿn$ď<7Ϣ˥;nHӽ&Duj"yB-jݽ ܪ2}DQ>ÌKJ"7M`@!ӖZoX\7 >BP4n@Sˆs2i?Lƒ7q91OQ[iqY4x~!lұX31ߌ'/ݻߍ7ckl]??w7>vVڍWf믺8@n7Ǯm|_x=c5ۄ!u Le/?rɦ vICI\ (k,HFoH#ڸn*NQ'Y( 7lo>u/^ݖzًcV^@)+Bv8zp,On!9 *l*4b>BqA"P84!AnʱρK9M]\" 4.5o=qטy¬' L fi6ɯb7QlWkőЮT lśmM6X4,X3X~{<𞄚"flJ :Xȸ?kaݍ2c!:<oQ!ޗ0Ex4a="|<_-T`Ԙ!hJ%xBh9wH%`<1qMz~35g~f˥/ Bwkz-rs #3X(ޛb\Q ]VFq2 e#1Hå! daV0M>-V'A(Ќ<´%7^P$4 `pY2h 1Wk–wדYb)P\Tθg0 Yb*jn.Fh=(#HXnV}UhQƳzampԀ$ 촌3߹̝ ' 窉s3a 陈5#fd ±a5wˮE٣rӆ~W7]^+@i\6+7/b7V݈-Ŷ" h{N>AD48'9PG疄h ._43A.j5Z߂1HՍ[oq/tJV3Al#RpMfbrXtX$c_>/1{~f0T dtA2{x*-o B L«bTD M zg7h͢G(>="v+h`Ɗc[X`憱[]B=qFAw7 CI+c~}gN[yz%-b*MS*aHzh㒍$D@鐄ư)Th*.?J:Ǩg)Zi0| z c ՙՓq5Ve2[Z+O*Th ?`luAg!( ,ʌK!Ky6!Sy.hJri@{ m"W 'LRjdD!>(wvn羅a8## jaftdNMlidKՈmЄƢkB ܼ ~p:brgT2~t^<3OOu *.s0>- jJM3. w (LIq`?qE$!rpԫd5ܓ@{seLTJ+-Dy*v؍hbgYavϔ@wUMwZz+ '̪:E؋n7J FvSMSl>Y-a{#i-\OFơVsX92ąߎ@鹡bړr赆אr7 QHJ(S7&@`=KbzHwk*Gh?8_G]r5֥LLmOm`&J\Wq,rNil{W1">n,sѺBz(v칈NسovpOnG8:G=5ECAQ :"W=b 0<;n81*1m&T=vWZf/&+|zq=p$.}cxPl{W._[t ( Mč1y&>\N2KM_M `UZ6IsU `p8&(d( 46~k/0>4taB\rwh<53͐v<ęɄ%/r*0EI=„xnką"EaeH&ό46[kV«s"3Oq`[#e^O`$fkL=D*!]!Fh6qc0ZR\YH4YE|BA4Y {MH7à͗ N\c9&)5.+هr-hpՙy(3L݃du:X/ A#Xᇆul|#TKO_s~vwUg0ͤYb3֒NADVA֚%w%1D/L Q0 Pq)d [i!巡B~7]ҋ0 7B`"|zˤQc ce(J⹷ڃG+D1RILU5XSP [}U&vszƺI@ qv8kxE;<9Ӹo@|`9 0$JoÎ<^ VQ~60-uW\`V$^X@Z"@ `ڀ@C-z jcSo#/6 g-}RUxs_d= ^K~a HiQOgm8|͛I_"@#BME /%FBi(B ʙf\.n=m5|ov"3Ыƃld0[8'HYxޓ:AWz5y,mՅ焭Ʊ1ꕰ# hLLJ~KC`~ʱg"d?׮sïJ24ض"}4l e4^-]2BmBپɃА^o {nUk*j1zG3S%ƁmƷc4hP(` bۀ![|-s<Dqۦ x#t,(ҎmGb^{ +=8>3Z}/DžP{5 v?TCi&7LvɎ'l2fbX",:t7Vd)7 wẳ`y\֜q}rƷۏ]X#0g.Yc$\!h(rQ{Odž+\f.f&= Ku"doC˃ *71j)EfXlP=4ɤ0 r]\^v'Y 1$@6 C=sތtLB[1g<4Nب`(9Ei q4p+fYx^<$lG+),S5uIx9t~Z y4-,*b@çz<0fzjqg(&2h@*18DJ5PXEeUEX~[[ݧ+Q%5V{7vW(Wfx(ulā"@v3v?9pE?YDoyhR0ėSAPE7V!ř8`tckvp"W^VEZ"* cxP *+< m`Ò4*|^O扽+njG ˙tⶔgvq(X)Aok)Lh2 6s2Z1HF&; - ٩67“E2E&+ 7^:9ϛ0 l 8[Y<Ȧ60Gk:.?iZ!7'n1!]m";w;ﭒDL(\o6O|Ho\y/퟊owr!<3-{#gxe>v; +5J:,b:rD&҃pf0L6wa Ɓx\/{T4O +y !y/^,Wl0“g‘1h ̪B CP4)po_bdu Kgct`Cgīff]R/5 R#@܎f[X] ; l$6NǨhK9B`2ap&Y- Ӳto[Yl< TL+<ڍgҗ2ED%YJcuZzWh!#&wy)ơq-),Y"6AW9?M {KZRZ2s1Mfa|{uK+5Fl?+bY{NdL!J:+cRVU5CL&Uh[GMPJl :8AzQx~8[>o^Hd>_O2ghaU ó)b6j{q{^;J<73'WtT<G L#2(1AA?ѿZ&F&\VXL[Ǫy&ZS V g@q]bB$(_\7OaDPnG&2UGRommqM%X:1˯}<[1n쵀q]K[s|2 R&1:q =ck1*L  c gg3wuӇyңzv BglkrSa\sXvex-nLE’q3g$xa-B208Gyn ׳hzU[dQͪ͞aih\Qd {)ѶE݉&_(%Vޘt\`8]QШi}hhrDEyÅiҒ8a(cU@5h+'g?M4`a&-lWl5)#?K̺B# ii# sJk!W>k~J|C-}a X8zǽ@pHqO1$݋{! -SAsf>#`ŊCgG@7qt>`r;).׉ml .^_yjǀ*%{e,7LIF1 VÓFҁ4=@h7vLv5>$e~Ag^sۼm>%;z+ѻq?l<|v:23&1Ϸn܃5-1D" {tЁq@{MnL)^%1 w(֜ a<0 ]!ymDCI s>ijų yOMLCru`{'*`D,0kD"1[,oTM7gⓟ{>._ qnqpbI)RʗW_{癌Wy >V _á,aJ:~^~w8 sʙ4bt  TG)aqc "]x{ 5L>V}*ЍBV12a **B,.i' K7*VQېjۓ- 7mL~92 Ǽyx\?7"Yia?h/(i5եo%b5je)KFk-^SQ}tZlyWJr^*qa<9ԺfeN1zz\m[q|B/o|w+_tOgQM?9k[N<}zI`/|Mx֒{ŽEփGx_~(3Y&L@4Z C0X/(zƷ&6:i+|:>ߊ/g1s76ELVH[}S-1`GQ(]4f wyĭIcL VN&*Ѫ+}u(, &r[;C n2B#YýY^L.g"!aU(M%cO>Ѷ}fB`JUEybv 8%ge*#|LJ-`.DVs>uOzG1.RphSŢ)\T =^r^AlD8@*Y%JhF?` z0Rh vHdռRr. ¡6Ŕi n 7ޚ{W# d3jvB[k3>FIQhGF"DME#Z6s6)(Ts GBL7֬іp;\C@O_ko %O<`⫣Cg MZ@ĞٙĄgKσC 3E]y6'0Fk}%s>**r:x `]n7a{'z|Y-q[kҝ{ܝW38kK?5mAHAG/LA$(s܂1bu:A~^!|.,ڱ`0[EWMK Ђhd 1 Zpy8 "|F,8>=v̟bºc|!μ{#0AP6$yK썶ׇA ф-̽K'NJ 5t;mE;=llA ' (}0O{O+ϭ"l3~X c[XCsU ]|AW1'ݶnT-m2[+dpЂx Km 0Kq15ͤ _,A\gpf c0G떟12qGUmB  `cnw? E!(<~y6Ч/KToA%?w$:uW)Ț6TL:B8Vq[ۄ(DTf-S`FN0$TuJ!JɏXKQwA0#Wx#K{* kAyܾ{e p d~ w]Nf1LU\DAVe}2Y)f#j?|I]'RFStG[Q -2LJCj9;^V~5ZLWj?0dNZfV[2$6ޱu{*kVдZ ^7-4,w6 d>8(mC $.LL / !LP h$3b *5♲)r2)$yN~JB@ M;t׶] \РW2TvH&x'QB֝9O}uѡ5̫rvg6 {u;IˌI !bA+iǴ%)SМ[,rB9es2ԃBֹP1+ҝ()9hDEU)VI܎ X \qkoYݻyϸ;8UE\3lrUgel熵N-n% {ߡ,E9O#kVEC&s%r쥐*^`Eb-` 4N58-&k4=~q.f _ %r݁U22']3~2)H$"8k)<5^>"&W3ΐoGyDyYXy(D#fy]*2e;n}jb0XvAQ7@Fo/lA %Ri!蔾TqY|E?NC?1W; xyDٛ _OeMM^|'-i70m< Cx'hWlT")RM!=EQ\^MMV9Pg-/$]TbmZ٠8u*taJdoxC4em>34jV9i\lL%e$dҕT4CM4wW yN3ch @l,S7b'oP"9b{AcŜqHVx.Ng aAYѥ sgC{P2G$";c#sj3ru6~kE= nFԻI 1ddfqdJ,$;FS(TGp<9PbdۭAEEc"P<|.D(2*16hqax[qN ~a)G_[ 1k]e ʓ e>7I䵼۟2Dۺ\XYh`҆(cAwMrG}dZc;HJ.UbUvʩPh3haIM QRFyt[ -a"(!];PȕRx^ss\clь{Rty]|3G]J~v1}k* +ːa(7 [ҳY0 u:X)-Xy?",Zahx \<Ӡ|+6|s1ՖF 8 \K膰6"W) M ]zO~,(]LiCҞ Fn}BKQ^I6sa´1on}kx) Ji|FF&Jw'Q@N5у?_{JQ߱N f߳b('?v7ё;*nungIkƠw31kKl AVBpHo쥏"Ƭ!t`d-B -:Ơ%g-2-RyE@afh?" Y*+UKׂ3Fc Sg PCa2x`Ş"-_B"+]`\#-7mJ˼f^AԖ>}3&AG~4֭p~1 q-P{Y(ءEaf "6s3POʋ:eo=KՠnwrHSb`)|J }ng<=kӔUVf9_9 XCcGƵDqUɚ JЪ&K^{V7$c9B0~Oyi"j̔WݭX£XѢHݷƼgJ'"M{#~[ƕrC(H~7썡 PcLJ|\,l?LR!\l7h(hbsh#vu/%>awGYqiǀ mY&,> /{/I!h?]xxL[2^0Zl昨ǘ[NFDto_. #X 0OSdhg`}h ,E.C֑i38-9 icn`4*ܺAc2;ߩ >>Uc `Sf&MZ/,5qtS5jjT0_ X4ZRvGaHƀyig*2xT > `j%_埜fT$<& `B(Pլ/}Tt7VO&/Y2fѻBƌWKZN2A X~Z:c\ԏxwK܁ƳO@2:k,SotGPd5&9y9\%Yv5%=yHiε<^3J;&'Y7"AE2gݻ뜯7: Wu:YX\n f,(č~4"89=+Lvtr SO?;#|~~F{~X!; `>h[-AV|x>8~*k`Q +FWhXN Z_l ~V QZ^ ,iD8KGvSBh<._ {H*ybiӪ<<SPp,_R e.s5NMJ!yɈ,rЗ7BƼЙ|dUծ7Ȝ YұTCX꙽8tgE'F÷%f%HW#p3iV$J6+c&vm5x;:yfd_?CHfS^s"wmChs2j\c]'xXƒ b\јngF*AQiPgqF4, ==u1XN3e^"K;8>eURXkta! 9ۃ[kX+kLrvQ(,zBR*(k}wT 1k'e+/jzzb StMQwu% CӿV^5A4s+dLdx/:p],w y0J=HΩlf$- VG(.ЕUz*b>VgB&mpoANA#NQ҉=]߻(|Q+:uaeMם_xGl~e,g9yxD z㘽8淣y9'dוGh3dZ/0q^ty. 7=^̯h:ָ֍-:hbEyfOMs@Xytnq-#g]-$[ ,tyM E=, LýPyduEM:bŸMd6~s7He雹%}pG ѽbm>V-FnS YdvV ̅I^NݖYftu~e42L "حm i2~RW}` Zѵo%a-yb%wtL6#@YƭA(؂b`0lۃ]%җ0v shu+ z@l!Hl)"6t@H&)ψ`~R(nV%S!c4AHX"̭ט/TL 4Hf.$z\`EnOon'-V-76({~dxFycxh(] QMU,V^h9Vt*ڵ]k mxV R1X(s>@l>A DJ@k&fIe~o΄Xg(0VCnCCdi</OX5w>9{?G9nEY^8o[׎o~[DŽy0 PK%>B7yRX{IENDB`PyMca5-5.2.2/icons/PyMca.ico0000644000276300001750000055507713136054446015574 0ustar solebliss00000000000000 (~00 Nh )~^!00 %  / h( @w777sw77swswsww4571q%53Sw7wrSC50qsSqwgp452S0p1aG0wwx406C70wwx4!p41pss!Cpwwx5!a%!q775043pwxp2RSCssRp56wxsS1aassPp4wws2Rq!csq5!C446u%wsRsqssPq4'w765'71sRpt7GwssspsqsRq%awwss7771sw0vvwwwv77770xv~gwwsssw73wwwgAwwwu!w7771g`www3wwsw58fwwwww0Sss77xwwwww3sqssqxvwxwwww!ss770wvsxwwws77s1gvgwwwww1s{w5%0wwwwws47{s71 Rx%wwww577wsu0gswwww5771Rw0wwww53w8777qwwww37w710ww1wwwwu3x73wsw77ws77ww3xwwwww71A7wq7xwwwww7xsqswwsww( sw77sw7x0q5%1awwpp53a!'wp1%7qaxw%1sp0pgs37ppqww70sugws71wvvwsqxgwssswwwwwsq'gws7714wwwsx7sww7{qsww3{sswwwswwx(0`  (#$#('6%)+4/#)0%52-#,7(4;786@?:f<&:U#-@?6A:GE;QE>XT;`N*dP/Wd5re2!D+A2E6['/@2/E(7G2;G'V\]VduhqfvjvkuIUFXO[gyiynstGQLVNYe[h\o̦ƇøYAJOKOOOOSPTSSSNNSNNJNKSSNTPS N;eZ[\]J&%')*&+)++...*(..))))")4443.).)J0!T eHW<&%&%)))+)++..("..))))).442333( ")0SNNT7?<%%%*'*'*+*.).(.)."&"&.4/./31! (;SNTJ:H8<%%%%)))+)*(-.((.))(&))..(---! )NNT EEھ<%%%%%*')))((-(-)))&&"))"%!(( )J6T e=ڰ+%%%%*%)%((((-()").."% !! )J T7eZ=<%%*%%)!(((-()).40" ! "J B\+ %%%%)%%%%((((()0)   )N4T8ZP]< %%%*%%%%!!(!%()0 "&+N0JXZE=,%%%%*')%%%!!!!".4"  ")I)" ! EH=O%'%*%*')'%%!!!!%.44(  & S  8Z?WQ%,***+*&'(%(!! !02.- & 7Z:EݼhAQ/**+*'++)("!%421- &; );7 Z8=[IQU5*+,+&<0*((!!---- ;) P ;; 8@8:7LhQQ,+++',+0((!!32-21! &"; 77 ?E= ih5,+''A+*)( #"2222( &. 7  X7E:MkkkQ,'',Q,*( 1-(22( ;!7= :Z78$;kAAAOU5* ·!31!  !I");?7  hhRRhA% ·-1NNJ4KB]:  qkkhVQ·1[\YW 7WDgcuhRQķ—I\W7 G}mvrhVA% (Ź#IKB:onyr h,% .—1 IߢXEaqz h,)));K"\ϼEuzH  ϲh,*))<[·N"\{vzy`F=?,)();K[ȥ0"&Twyzt^b>>ZϮ5) ;NSŤ4<\~~xdf 5* )0603) <Ԅ~]Ϯ5* .4/( (@U+ 0/(46( %Bp| SYV+ 4”-/. .-j{@x JW=]V0 ĵ4/**- }j_IYBB5" Ē///!  Cs| +YWN( ŗ3*!! 'Ӌ))\lS. "6ę6-% i+ "lV0"&4Ź4! 9, "Ϯ6.&4ǹ* ''j5 !ϮS0&4ȹ- +'5U5 U.&4ǹ(  %+<55U)%4ǹ1! ++AU6 V)!4ę-! ,5RU.%2ħ3#%OU&k0!2Ʒ1(!))khS(1ķ1#0+hh--ę1!!N+4Ŀʬhhh.-—1!!T+4ϬϲNȺNIIIIIP;Wc;PIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII( @("+&3 '+04/#,7'2:996G?'7I'3E>DC;YX:l^?Wk2*@1N3T$.B(7F2۸>2NYfezwsc}αCĪQҬRd,X2]+^8c5i:p/h6l9v;{@dCgJmMpYuEnKrBtW~atg}jxd|l}p~}evCxQ}F?\[evrxqhqftkvl~G\GUOTmhsu|{opHPLWPZda^[{l\·ĕdLTTXXX^]]R]RNNXSaaJJ@s<##)),,!,%""&2211%"$\%7k9###&,+%&%",.,,/"M'ä?F9###!!!%%""&"!M,Yqi9"!+!%"&.,J.Oqh9!!!%.".S`:h9#,,"M,,@q@B(,0$5kFZ3(()!+0/ i=ضZ3() )&!1//%$44754IuZ)) *(!/+/''477=Pvu*)6U(!+00"4 ?5 IvZVVZ(+0'&:=  ee#ɫl= =o}ue+ɫ@ tzx eQlFC{e)"$bHx~p4ܸg("$Y˜%8}|n>iu#8]`&ذ遊r=(.21,'݃E)S-.-vAwCNm溴Mɐ1&!+DDy 'lh\˞1.6$mf%ɕ- ָu."ѿ+G9ٴ\"ѿ- u)\"ν+ *c3^!ν13cUg!ɔ-'gcu,1˔/WguM/ɑ+ffٲٛSQIJJģ;( @!,2$/:"/>&3:&2?,>>6D=@B=FF?LT80@0J -A&2A%5E)3D-;F)6I-:H/O.>M5;@08D2;H3>H(?R)AE*GK,EJ-AM,FN6AO2LN+@S*CV/KP.CX*EY-EZ-F\6DR1EU6GU1KQ3LS6HU1LV4FX7K[0I_4RS`a@BBGHCCKNPQDJJYBUVFWYET]D\[CX]_]Sf^UgcLvj@|sH~Ici\ct_DSeJUfIYfI_dC_kK\lL^mBVpI^q@a`CffKbiMfnEmjCknWem[eiSyoDeqIbrMasIjq^htVixWnyKuuPtu_qsUzvc{aqpfttikn{zztb8[CC^l-T,Y3]7e=i5h9n=m0e8k>q:qX1qQqw_ghooabds^}P,/((**291zO#'@H.*k{R$(% + Lzx53-":8T|i46=F<)JMN~mI Ê plK Xeő ]ۺVWմf.CrނUԵjEHQքӾvA;[YZѾ0Ĉ&Pپ?GyS澩B̡D!u>篣nΓ7q`ҹc\tPNG  IHDR\rfIDATx+NfSk.p|mٞP9 mZY-8yWb3kTӏv}c2wuVzcIf}x"gUrY a/v.^7Z%qmEcw*FVAn:/Z~Vbb]}-޹\$5XOS,#}+Sx;wf=??{bs2m|wŗǾoSWw؛Ui|s\{s%Tkq ~PO! / ՀwP_h6~ET\:[-!M]proo]l ^ ҁ6KBPNUbP><{F08>:|q\4E霠[yaT(cN%q]!^4"a,#S4^yթa0pE,̣T);]`a ;orcEkP Y< 6ؤ8AMcWȍol4q襰f#[j_ fcvxdȳva0"Tad*v3; h+`-?U(o(9* ^g곶r|\nl|~現lXˑ[c,/;{>eEa_ɍR0֧n[)%MaP&->\l+IҾAB <*<[2 [ܗ(Pz6`X,(AAq4&Rh%45v@f@8[` \ش4>v5]—/Cix`0♱9ɱ9PCY**g32l;J5>mUWE}(%X yP6&/@ pPzѠsI5( 1CCو" d1xo9I 8/c D*2~[8x(~ P:7"`\ }_}5֋&[Tg29L>[PރD8^#0ܛnZQ?X/$;7/CMN}6ܳ;?olA&2B@Nd<C._0^9O|Y,T T 2>0eRv'=X5x*'d+ Qؐ>A➅K&h4 V1g04:Oy !Aؕ.4'8 RGD8CA%eQZn+|a]}^Xl5xn(`0ׂ'A6r>cZZ~֛sa=XӖk虐2.iYҾ[ﱂlϰz֥˿UL;F<,yS PV"Ed[UKO0ҫ'}lZx>(  /@@Yฎb0.F A zh-,<-(-C ".Z^q{`p g2Xi o:VqYš@uÅQvVkΟ~  b"0x{Wϒ=<_뷁b-F0P0 B{vX؍!< eҮ_jQf<\>;w_F Ƀ~q$<Dުz}Ɂ+m:ۇëlgx9c%9Qm#f|wݒ; tY{Cm͙S"|2в+}ǵ!w#a~<{/[`ZDDD GO 'n S#>Ɯr<2!5?a8@CĐ ahhz {Cd4'`rA#uph |si/۟T9N÷ё%ksiٞ0BXOq=`<4B/}⧺Y ^mhyq.0 ^1X4>UeCXø &!gą$|j6{ؙC a`^0 `=clg&hrT\՟ әPHD sLTLswhaf/F&!K +^LE[lFUrRJ⅝Bߙ}(n(D!Nb[`,HlF\?>Rr_:6Ɔ`&RiO+p i a3C + sAzW+M#CR[YS| FBX֓/t&e IRڋ>gÃ'}xlipaDPƗrYS5(O)H m ("L$ňy!0uNKK 0| J0ii_h>2 %@c+1=s+eR]| axe߶/?vTWN_nq}>fo߷3PJ!JS{B LbR3udWwϱL kexT9p6BgMͅ'UB{5 O BQAcxP!{6g[F9 5b*V:{c[ 6,z3Iai4=lp2y{wGˆ@pd ݕz\@}|.qJ>3x>1@g''(haPMXP|1cN{YP˰]^xۿo!!AJq&"RJ Ԫ&)y]*$pCh#`PL!&2ō0,^bXg !ǩWU@CI~apIdKwfu[dve>l7sNVi -¢u<٪fvVhn ý2(0'~TfcX[xx)\/qe\C9YΣBF ɢu2>^8TQX3RWa!tV*q/=+U»F3@a2*yTB55UbǻVxgVPk@|˶= \3BQjBT_,{Am{Pȳχ[_#@\;ܷS`6R}YÞ *IF@vBC` PM^BJ3|~AxX-z B]d?bC c^N^wo셸fVrQ)}ciT'١ጂN9 l؍{ҫo/XA5m.g!D~x;`dL l#ڝdO]X 7s0"DMMy@$Kn2*( *(>ٯX vʜ!|;R}֒Ë>џן52C]dKVF@>]ݶ/ek3ߢ Q6Xc/w(': ?S⮶H +YN` a|XS+k$ƿC&X(W`Ylj}m.Y0`"UDCK#J&x?%%nJ^4t}4(Px+S+r5 IJjeDj Nћbްq`>~ PԬЮ?X`Cl8p0wo$ȸ?ŀx F} K9 yu.]V<❠\\=z@=cA: `9{Jo|{zlS^".⺲.)ȕPh(k\9!~+OԃMi\S" fJ sC+P1֎bk0(uyҞdWrVߪ,XQ1к0P_# Kkw.,1gx?]P`Å} GL ɥnpD- __ 䈤л%Zb2|1ʄ9$](ߌkWn ?{>?=B@4<;,lgOWgX \nd@%Q۷CVFEܜ|g^xپ9ovl8~FqS `mvS5a{[,f_U]6L{cX;Xs R.WwU"Z:W;,UFѷpޡ<!̈P|T^jd$/ )=IƝPZJ1YYgkJ뱐-qsղ755{,ɩm7tkeɁ /Lq&9D ɞ`ż%死3Fup޻wзg!9;{lǷtnӃ=~ݸv*kyO/mzC ;+:A#tJLyfSVBXxeLU$/R D`-+v0WW4e_</<=~+0J= -6փtm揭۝([o|g{z-~~vPǸ$:Lݬ@v0zN!֖_cr4ČR&1vb D?"N/xhX蔤 +[uS"L^!=<>_;=Gbr}eWgOX1 5hc`ePga" &K"B֕h^קa5?!KnX7fJȰJJ"@=6xXHۛ#&3E&f)>d J iC[.L5ó\a`3ę21OS@HّO8L-kcaYcRQ~P `J3a>2Mԕ +=G~IQC< ~ƞJ,cxo[8ٱJEq)0'Y@#cf`e?ދE*o5ĞQH3!kY^0\m.Zoscq} oI?$dK|v:C&'M @hN.ӓGnܼm?jO-z㿶i ?ed̮_ C~?P1WVJAɘTJ# (Kxmnss-bPʕzUָ6`؜t&$Yα+cL]S]Sb 0T,qiz4>$@s AvRh#^3%ޡ!?~ CtXp$+Q\3$M 2Bqz4 ToNyI qSfV7v `J #Kքk2|.or~qC xU*-1EArv0N,3QA1HMdYiVGuLIMkTdY'C#6ڶ!Ѫ0k99ؑ_@HwA6t0?܁2tJ3\s{{0&,^|=;|u1e"TN@5=Fǐ(k὘S$3n-|*=3e0_dXͲ.d#c-o$싟 l<+ D0}C8y F|h/sbbﰅ\",^}mhov}v&V-oT9[O-,wfGמ|ּ_տ/cՍMi§ılXhUV,Mn D cXJѪtN:<џN¬PzTϖ3la?b#'b< 2~L➼nڸ U]=F#|6 ő 2AdhD{pσIc{>bHa~[wl9׮!^GS9`EMON;z"OGv AC\XR1\h{`5Vw&F׵~ܖ?ci*1 $@((LyzIvHeQ ueir6^$5WU捘ڼKq,_e^h!gY %j1L:Tk>PPu`$y UE'!`mQ ZO+_~ۮ Y@r+8rn|cǏQO[}r]0"TÃ0$9󰁕T;erd{j{?Z^Їp tY$n pz@(!9{(t0e!;bP&W3FŦ& Q%ҊFmh{'[/ !~j> 0 xn< ݽ^).K]0Ǧq5R20AX[7W>E_Rΰ``xb/4R@ /jU٨7PL#%S{p:%t3T-Wfcd f5ևI.:&2xW#`x! WdYKڞk2~TZDFlOב%D4H#X@ FJ F<$Aahg){6zB#!d2 ]J_7# W^MCt9Xm|[_EC2UIeȍ{1ʼ6hC0~mtF$dpDbJaJCbӮ` GӶvɿ|&p<>;wk3# Z/~t~Og'^ȋU%lГz4̦p5JpS*N-,KLQ4Z. Dľn 5YY }G;b 15vFr~N MV"ޡbٌ6h9mշ]!>r7+=*s!17-;CrV'6KcCC2}%6^xsDWp!J}2{4*}K!)e Yڃ \Nɻx!8p}BZq,f0pnM{- YLQ"=mh d2Fh<#̘c# @C|GIFk* +~Z{F!nlVI<x@uƱ]6eٳє;cQB@G",)m :˝1ϘؑPD+w$ 5RnT+dmW-kƺK,{;C lZ q٤C#T d5dka%~bW})pPTV $V&Kp =P$T/֤wYPq; Mw[={?>p30ާ\F'^k/y^2JJ>H 4X&5\>`o[6ƻa?KOv J?FN2Z^Jr!2KC9?R/k䬗Edu %cqC6m[zӱ*\ '}zv R{ax2bƂLXV4rC=%Yk2VR HT Vi`h/:Y]Exu1ol aM',3Gט T`oo$* c7qa`m[̞<}h\-E,S2 4E$I 0& _zv~jn=^wWvU\F%a-hxUƎ ^!iWR.ؖߥ# 9ۚ cRQOj4CdL), pƌ]ZYS*dЈr}*̀| ]~ǰȁЙ7 8^ \57%C*"`Xl!B7RaE`RߕD=zf=f0om/?/r9*m컾}oϭ(*]Ʈ&1gB͜vwu{k7->gw'ȺހU[5z>+?҅^Qa*#ďQ98]\R|[ƽ%|"|dE{,pʺ2#EnF:LI IYd##c,°/°cЏi4πe?5RYra|.6Ӗ\֚t_zRش/Nmwvn(1(,ۿ[m68 ]Ιh!Tln%wlb_yI?軩DC"Pܐ4j|.j<ۖCRHm ![0Jg؟_ȰԟCR'[M$"r7u!:*0W0ԩ{A[M_a_)|!`8; Ci:>#l EuV0W |HeЕ" Q>qCy M1Zsvخ  #l(KSz&0BV BRw%ȦK1N$ Z T,4/vpd2r[,/UDkGśpZ!p]ob}xP;*̔8/@ۑx$!%>׈:zJ(7Ԓ6^?=[w[vj9‚CU XB>.S'.[Xd6Lj"4Ě(Nq' *Yy hkJyrޔJUhRJ 6.璕n )J]yP}ŸG'#S ZR@LGDu?=z cN1bݯ7)vx356\#]6%6dݓж{o>{wo`- چ=Ŗvpt`˭;g0 CGvu+6 fX/OTopV?s6Bl2"`dWUR CυWĴsh /~.Ə-Y~DcUQ{6B(>uPyDoý4EO-#!E&C.a8~$)ۧ .Ea7rўJ=G^A<;#{ N56?v||H'ֹ$=xT"&\ D_O?cϏ~{v Yaw,ݑl#Qð{. ˊPP#WX8L0'|bY}iFτ' 8;ԫ.ư'*/j%Nd,k;ϱ!dg c26rsMjF>HX`j0ej+CPe oJIapoSzY, ;X㚧(adԇHNMxd̎f=;;[i>="drt6OB43כD`~>܇wB4܃C16S`n2#i$$:3^ .S[6DJYFek+==צ pBFyjn f9.n8/*Ds!g^ܷ/߷?ZTH^gZ6cSNԖH͔ i,Eyx2`xS2׀vyr.Xy%cp|6ޘF#CfݣܱB4rr~gصr.!Ds=αHu l7ifѿNWӖ|ɗhrh?JͿsf}YYR(<%b] V"{UB9z8z_~(E!`WƥK]WAc<.RT2$!bbAf9f4 ,BP0qN\$`8dӫx,3 ?VY0BQ2f+ =F|rZARS5A$A T[p@h`w G7N4)a;/ + #)5+k{cGP䕠qajٍGvF-WsKn`fˋ*M@0 LTaIƊfs&N.NO3 j4?/12XAT8m@x~r|1a,XbdXIG]IL0QL8axkQ{n iM`(G4äi@D U4 ơ5 cT°'B,!p@.>:7],/ 3@ ʎ??:8YpҌߞڳ4CE~c?Fzi?yT 歕*;>ayiy-{cyt[X*:ftp )SSOC2u%Q,;_9G 6NB zpL2o|#!qeRI&(F b8du a>T]^*^ z/C&|jZpHi8K.`CN(5!}A&ΓkbYT`6BBHF*l=}ۢb\!$`TN cݎ'lE-}ɨl$@&g{G}sGL! Kx=[ ߟؗ%xƽTaAOUAkյp,s}2rl~1 |Pc\EC2 ͹Lm׍d0:-W;ŪUcaTƣ!?ҡS49N}${W4Alvo}J|v51N"D&6HKpbS␹(=66M-7eh9Ys& ީ>,@8Lcs 3_Q:Qhu HqKH@~=eAg䧰قk)zVYB3Ǵd.}7үc.` 8d O6|6@4>*@S,'Y1)erk`G!' Ȼ[N|9։M3%+FS1 [KZ2 $LTC9r,^챀3ҒI/qn;0_瀺d5p)krCEfnlNZBK~YkыxsҬ8i֞ + hhFd<1e3qYL2k`C>UgrgvƱN%b4UBbyڡ:x8بL5ĵRF, 8Tk%[IJ-xX (a499r@ g'3f+ůip; L 4T0:8z "0;'|VJɱ527-׾u5X- `Ըο ְЃžFgUa)4& S%CH96W.Rs1@atS<<[הg$#ё&jy0#nPk@1.s4c˶_Pi.W¡E՟Y:ݳ W s0 E_ďuq2 (<2^ZiQQ9k $&H|Q: ^:d%*vCYtƕl4} `q_L[XRC\[25hݒ6'`C7E3(UAI:x@Fw5q&\V~xQ/!C*91q$_[G6$waX+֔XSE$@Qk3S&Xuo29N HfP܃k"J8ڷoEskAg/P(]*1+QIT9GD G>­4|ŻsT,A>ұ͟s8 _/FkWB!1qm"UL3Gv'}xk*1G/uܴ`4VMrDV5*AUgNޯ8 pt xWmvG1ų^JaO ^@J̫FfH5 hUFtD.7ar J:fn"d$0L = yd(oP#!%Vu&Р ƃdo7Hv);*"6A؝ V?mHM6NWN mi+(1_(:ܹJt~fɔ-&_h ?c }yAbBa ,-rly0 ?OXfO G##lbG}l*A ~O}:D;X%LGg ip<t/:go^ƲN$kY$L _"Gpsi=, l[q O"wx_)JXBiU?Hz, Thh$OD!Y.:3d5gP@S}ɡ6LZM(Ha&I c΄lF/6 )Җ+m..$RhFt4sO9Wo}lH;8"po:%kG ۻv6'/o'O\⎛]^<=rCp0;V^ތs0xےNKg.JBcK0"'sK׏&+I!b +e )~^}r]mͩ%#Yfj4`ULcdzsAdW)50*g󵚏Ȯ}pT^Ciu_}ƐLM[ݯvUjZ7*18#Hkh ^{?se-4_krfI=23 y*BZYV$*fIJU t `7VWcYX’& tF5!!,עStⴞ:=!P|,6,?2?}D6\x q'!օ?'sRq/8j8{OS_}NxC͐'@ah"APrnw#2=vIo1_S(D,S e9901 I `s\ɲ5| {s8 P/Gt6CB􌍓@|]?i_VjD(Tpd#Fk*U0e57z0DG:Ȗ+'?O;y؟=ϕ~YaƘ[zWGTӸ QęPBY.C1)[y]a`F %B>Ff2i?*bEpNAUf$I@Ne(YQj; <Nolw&b ōb75 B2u,;\uOZ,1xBF&Yǃ<#=Y ?Hm؈BNP]_e}a c{ޝ3'\lu'Dn,LG'OFę7cH9;AmvR⚃4s-ݹtWx$ՍHnc vyIvʁ3?"pJn!ddVLbbeO.2;ݰ=;]8ԕϼxBf}Ϩ!]`VG}q5HP.O*|.c7yǒ=q*5]{npd?4D9ք9 gʁ:6T:B8pxZ+a֍5VD1#=5p,[M'bƺ`Cʐ xӓxCF\cP=Ai<-"=y>h<Uu 6lSy(sqAK6l:R\<DЎb_<=rG5;B,JwB2ZD@:dw>ُaęT^`e,a#=+ K;ᗹB*]w_U^^t́\}oܾgO)'Xu*+ ؟KaG&:^pr[vPo=y<і{EuތuFՁ.FM juɪnA`&:NSyQkԅgҳ ո—ZC\"Dj 5vwߴ5 IY=8Vk6t 89 >;/8ЋŰA Tl=bnfQϝWM55!y EDtyvi [`͘7N::%? Dimُgvm ۮ4w#B*v+ƟgǶn)tf-ORaKo @by<id qzѨ$l\Xoyf T[ ǪVsT6GX4$[*j!F5߃rwnBuc[ qDKGwMBU訲"ﰺ5f[@d;&VA"8ףG'l "U#Tec XtsR=١M z,{w[fdKh+Z\JQX{gu0TO' Pp9dxFeYD;C(RP^˨ǢcwX;5zB Yc΄>$\UAI< l!&yՀW54EWC? ,z`WUfE}5DZ; r.ȓ}DS.5nLؖs@CLJU"8=ʋ۸ϰ5AXZ.ag؅`-ZJe|IQVs -XSx2{6\}sE?.e ; Z`%KP;OƯH [Rv2GT)?,okE2g'@ArrӮEu$d+ickDty5XJpaqV[ v cID^#YbVuހJ$N )[(IP=BW'muaSSgl+%Ww&> :<=9)µd`oˋ3{ qa<~CZ`g阍E sE}$]XC#nN!<C2YI(8)ŸM;ԑs*4D yw:Ǐ9d <ݙb4т04d )ckΥ T`z=MefOtYΉPQa pb3vrh“jx#W=>GXX0/#*;uPפg#a270供Y$,sJn1()"p 9<@ONKB׀ڃjBM}L' 0T-첂=rpj:f1:Yؐe/+!:]0kF;c$eݚ5W7ԴV`,' Ѫ1^’ï7{ MN|ͷkf*܅a`v:-ΡbF 72ICKAGp,=B|:"[)yH? şgv|HCz$x0,zxh<(݃׏CĦ^ =xDDFⱼ> ~_X ec UAؓ@x&!0diLj|B3[&(+ ̶ "QUiݔ!=5(ؙ@/@ aQO\ѪS\7"!L(ĘsSgc^Н0l:m -kAnf褟N1ޮᱯ۳4NT||drn{,z^ N9,f'0d0$táX^J\G P*#@NzᨯI "M'$&R1%FӉ=={lo?k=|GƆj)BhB-ԛK}Own2Klr*)bA@ MK$$4Fb\1)I*C*;X`$Eˬ̷ܵt'ȁ4}>{?O'֛ KNz} @ߝcw5JRw" 5k,^%q4Ȉc45]/6A><d>QB'f{ <) w%7!9~[Op%YjzR PhTm:ͫ~+b Ű} gMv4CMpt߹6wFKzqtNx<woWO|2aa֖a*d4-v+U,!篰vfaT hg?C`dHYT^J ^ԁPnaVeױ:U˂S-%v\|Cr@%/\xB?@_N6 1Z%U=PIES࣮1.ܮ/uK~6˩h1/ EPH6DAZ)2;z$ڠj[֩mX֡cWz~*EZd*QH-&A5UXSrVzǃZpk+wX7A<3p~No*!;-hWzs6:/hxgF%3r|%'%%A 4\/t N],q6Eoq.o'd$>-i+|(=/ N|/(O*t"A(aȇKFU_HmA.J;b.pT,j`2!,zB`݃B@V[-K@vJUlw@z2{֙jdP?kfyX ^holPsg0~@X܃rkiy{f̓*`[ϘL{MB+)$D(o4+(jj%"!ŐXje0-re/B/U^Ieց.4?.s>W!PK弢YP痒Jnxp~2[X˗ɾ ggC2aFȃbK_S3foDkXat3l@XJP.~!(V KKG_t~z&?%#V93{^i鹸FSx"5IkC'q`oVP=٭mA? E8i0Q6lr9gN;}b2SzUn`KH`\ {65NR,U^֌Xz])Y@R><Ԑ8#6dz e:Pm7R2Q XZ+sx~uj+P\3/'ڑWYz-s{xy{~ ׾4HUUJ}\_*yϔm`.o>3 u:i9ap8,$H]VD/%D4l. N\VpsA Jo+EP&.5zze݃Vz9vI|G~iZtc)F >zo\jt;)SB)؆W/5)mu3h ~1c]S$|l)BkN-}NrGt)w"zԼ7BAvuuEj Ss@/y#ǫBDb<Tb]\-<=)NH<h>^}Z4N\nG` ^msKt?%bu6Nu`=\wOc!S/c;gHVq0Sv`=C6t~cdL?`EV;6dL>OQb.>ens FrHNy+y犼 =. $KgfnԂa ѿQ M ?O2 -BZ̓d<<6L%xLjw5&ߍl+L oz/QoF4}^j%fkК4jhZKG~Ɠv'Eo}G2F^fT*~ƨH\. v2-+җ*XU惻@FuvZ"@J듗sdi) L)S/˞j*OoJۦ`c^EJVH=z(֓Q _xh5Q^x$>j}ZxxVXݙJW0ʍf3~SV K{tKw׎=+MSgÛjeD@vBK|wRf7#XWXU!dQyH{(F> =w9P=m"Wّ1WeL݉vϩ=e\h!栢7$E4Fؑ~AQ^z @ۮXg˿ޓY`q9[S_:& L @џo7;M7_xVGʾ[nEB[LĽiFi^N6B_@=<)]P:b 3/ +&<0q"$!z0e/sEEibQHR0H%%8jɛm$LjI,Sjqj%ao+_yaŌ(yۼ\+= wL BJ1864MyJAjHP Tigc WfIkĜ5Ĩ?=`º䗻%:c#hƋLnx1ћ]Y3=D+ F'Y<' i3ޞ0hÝA€"xj`\?wdd!lkAbi=1mPyR1%eH]LaİÊo`D,2 Hr ?sÜ&-mgri_] #e/\䇠6d=g:J$TD\x[kl\h -dj!<7>jZmVJV|TgyÃϿ&ozf̈́]t2R`WRٕ.&Vo]jbKƪg2K7L5K5o$hDlƚ&@I}A"]~ˏx}2&IoX-ց/{n?; $GUxa6\ؤ7ȅֆ!y0K+.3.YP*Dؿ~# ?j*)֥upեk9{ӭH}H|/[ڍNS)u4$8N@GU2^LG ,֣z.& =&Sg/Hi,ȳQ6' 60O [r@^ ܥEH3^94$^M5(^q'*"aw 'zJ"Jk]0d_$,*#Η/yXv̟2`;?0H>l_h۠Qi" 3lK;S 0&[{߇8͕"uI:ȇr7^V%K$eŦ! ,.值JU5rTR.-e덖P<奵GBYmpb C"BcY;f=@fV)xm<;na+ n&f'K fgz#K4j ުDjT B߀]^*RAn{[Rζ;M~A̼|2^%zq[x@S% $:]spFWC;>yHҮ]?6ȏiݷaA nlR`Q~,URyՐIX;0˯1 z\W -s2=ǩD,|lMJ ^ːF|PM)Mn~뉃֪$:ɕ;7 6hn_?ςQc 7z _x`\) -ҳNR0 Q*W3Com;L7bXVg>?ߥo ?fܕdw`o*3,NU=h#xf'͐8>& J#n.#Uz1|s $/LØL?Xc"v&ت\WXANDM{`u|XH\ mF# xd<TW$!"'W k .66l 6@$Zvlj^7\5S۞f9kF^ʠ~Zؑ^ ŨJfSA-xJpx*01PP4W}y^Uy`Ru<T!x6RPFm*GŘδs`Vܩ-^A$47+ |a&'%HT^7ig|̙8R$-FEVDfzE>ԃqgfWdl`̙X"oqLpo QJ^ 8􄃈1ou#oor@ vzwbwՔY}Wh4 aU >y90] <{H  %z2)G_{{khB4 ~?)RTEb&j~-?J `,K`_\kv~z>&!-CBf؅ȿ_I-;댕}ϖx0i/YkRb`UlQRܔ4 L3VgC~hR⋈S_lAg홗0ن=mm5naAS>B55=4-"eUf: Mƞn3 2旗PK INO Qn먅*2[A^8K[UyVCPDyԦ'eFw<H=qރZ;vv* TI] cH ğ/ǒ˔D &~М/ӽ9LP:YQ^fN.!SwBe(f$x y7ny?\s#ZJ ^%FI =HRUPv+҆Inm,=Fsm3fNr_NuBPYCgZOF,Dʣk?':Oc?nI{j[PQ6t>d5_zw_Sz2,~뼯\B79VJ.]-C^8TB ?nY 'ˎ2|5("ݪn>Y:S\S֙ϵ Z-c/|aKEþlZ n7OD?Eܑ_+ tFئ,0L)=)qL*m$*ei;́]U(1%`+:Fvs8EoS TEfMŒţx9\y tiϥRۖI<5@;ە?ˋRsg Rw.#lB oM m8^TB sVX@2;"#W˭2.ȆQjV]! $ :wr&mB.?˃n g!7:퐬̐vpKC۱'zvn)F[vMCI߼D@x tK՟<Ӡ o_ ͟x9Y,kC%x'ޕ-{b zH%!CGf8ܒfKhQ*֑W~bc9\j:HEVô^`]U0'GK~]PkMװ6*L*6I7/B-@ ѥK4U)]主x9fQlu^L7tޠ{ENjA#~Uo b1!Yh:&5r:$^M~\R« Q@/6=w'0fM4@vO9hEXW_'QGm-iVmAhY~K]Sg6*]_FoˑlrOX٨7DdmP̶\*rM <4[/lRж$B"N4Ø-csa>M glKF~L[^ shsBep CeO?ڢG9N eq8ms2U^U2U8((& l^l /RB?#`&GnSKSr1oG(ޥ<3A"ss%H8TOKz[28%:d^ UB()_\1gs! /ť"L$ވ_rC,z vKW 5e+τ"[}@g/z.=Rf ^ή.T=KN0aezuŕ8 ѳ Ķ\ ٮlavDyAXD3P΅[D;.⢤&_]S[ XZ06ໃZ*!gAJ!#^Rd ڋwV PхgJ`w1 -qor:Q+E5 R(k%YE3}S ]k}%0X}?mjewDb*NEi8^1U[+2oV !Paza%&" TWeV^lPߏ|yAaS&W:! ‚rs+i1OBÆ//T /n%#/^s(˻m6"j=.6:+ЈrID @10;of7}L` ]ԵsHK#ߒZ.H޻Edy)LO<pҰBC~͙xU<LAa.Y@8g=ib0iÎL -./xȄ XՅgFUvĢFEZ/˳lʯz~PFo =x$/o=Ч:NɳO%*&v4Jk%hRZYh֠XmV Oa#Xtx3?&<C@vҚo"dd\oV+S.}/j2 9-n<jZfW[Q {*9T.?\^{j GO_v* >͢|lt8OO%MjhkgU&4?ۼw E&ȸ3rz* &`+(L}~*k-= 7U*v_hm~yw4yd cے}{`k4UoW[N( ͹e!."Kk@ e+t^쯅3Eܬ$6CEz3(P![ցb "`! .=G48A4T[3 BbE }I?%Ғ}q%vRɕ$0Ãtxqdg/bߧJ ^@Jk 6<a8aP~%ZUjnQY4izI Z/[zVv/ץ``5̛Xӊ)Y_d֫&bZ/6t5+ʬXyz)Q$uZ14eoYp ~(׽ǎ^Ul(GCHㅿcK?;态[Bߙ0\T ꡿9[uNe$B%j٤ (~$bŶD0,F~^9`:/l)eeU;ǀUtd"6Ȧk~6AG&4*:?XzeQ\Msg#K'‡3#P\kh؍T|OWҷQI7HDKa]n#߈څ4NjԾ2lqlʙ LzAn f~#Dr^Bj T.^.;hU&1fViy}PĚHR{ ,MzKIfg:h0ւ7%՚D&؈&`zZ6^ϵIw_xAEQ>"@/V+/mٷ)I pRϞi5E*)E hyYgZxd`VGGvquώsε ml ^4|&G;H`+{q:K`/"qX|`2|Oߜ/Pdwe3*a(8r'Rj尗{oYu"Ć'L)1 k:>M߻ Z"])񵛪F$)sel2i7@5?8U=bM,c٩=gMGLWzBkBY]Al UUMI/^֕Eo6_Nپ°/3 &}@,kG7B]jXv0@" ^ Xx\G+;>fߧר[/6RXFOJHzM3hp54\ RyUX[<1,,zØem b$U^AOTkȱt(8I$!υ43(I.]bJK'+@ ƻKRO(>KTx~mEafKF7~"?#](qcu!]?q;eD:̩h[Vժ[=arlÃ^ \-s{Ͽ^o\DndoWܓ}T$M^xE}!| }{)NۏNeʒJ]"˻?r;3L$P.uu]@G4i*FB]NG20P*YgSgyf4LE)j&bۗ.`vxmSnvYbq$/`(HzF?Ll?c-RD(]S/he,U6feY Et׶IlE_.N '׎]?#]7=y`z co3!;=h!.sU ;|,Ţ4K`W&{AbϞm¼AP;9u> iN  !APG-[|&e&YLXMڵ/^i{t8! l=!/ا>Qo<~o7ԨbrR?ZO5ݖ4?zȗ4^]7ZQ_| mk3F*^,+_qHܢR,RjEsN^+qAҫZ u쓿G'&nŔZU*KvŖJ7r|XAQBgTׯJV/PVEN 8uU^P,~?M{c)+|*#Lh#9G)wNGcq:J:q,x'cH*ۥ6Z?`Xٲ*(灴 N=xo#* 8ruh7DLbJ/ 5p& R L|#mI | p 蛣viRyyi ko+j]5ڑ Fdϡ' pLz-MWv[xJ"+`k~>wX]؞{MZx?,D۽$g=9݊/yvRg&d?GHoޟگoZ3_fc=t.J-[ D+3O)w KVc_J=󃣮 oVslɱ!E*k-()Q%[ Tx (J?z8_;{\[VS:k[v>IՂ0G^hJjuݪ&<*-7wwHZ6#d"򪿈J5:０O# k԰}0oۋwꠦ7Յu<00Ϥk Pk8g!crKB$d&xk׏[&4xH=]lNح!%J&6$ =@ .xG& G-p0Y;BR؈%8=$On\Sgї,T4 lV( ΍ٽS߾vfp3wzΰZg-fy(AnФ,xٙWWzcETqf\K--죟5/_fmCH'U .!{l{RUXۀc_b3o U+~?U~PXշʲɕ5rQ&r꽁E J%;.~'Re$`^KBj޳wbtYQ9Vl/39m;JՅɀ {vL)u=pj$UC es9PH '!ݙjcJ O` <[W֛0nVskj闣Xň4M59%A=88EvhR_W^Vw-o] PfH2t ^[ pp$l))2<+7ڵ5,Gѹuc \c+QA7A$T: 0 `Dž0G$1P V!My˳W ;6NzI'~.y˃ng3``v"B R7[ycH_}c׼ξpx"w&^5n ;~U(KOz5)%xwVn ]5<_ē~Q0} ,vr_[4tSGcOKITO={ 4p%*d۲Rk$^2cy9-WŠS[5WDŊr3A;x! (01^ӫ `֡(;n+*/GV=DzO4N(ƼtٔÀ X dܨ l&irp֑.=ch GVKa #TwB;r:M#x[oTGջ~9=+S$Bu DPӟ_{ \,+yH}Õ_r0 cWC^b7K'sojRB3wޕb>uNjC)>f3bB&i/v(FIO` 0zzuXosW;eUEbD0 pL vU; "dߩ&ﳙ/Uåۉ'o:sT'=!\)[GB1A6+H<>cܹ¤հ'bguO(]+~'w1֙NFVAV85^G-&+G>Zy GX޽+ 2gCW>O>vωr+Xk{NQ{7Z B$H92RGL5C$I#`T?5C;_^U91a[:O (gPٽstz%Mg.k*Orq YD3^ܕ?P[W53B%|Qlu~`f<#%EgD &*l6̏c<}gNf^gG}=~-u5 .ѵc{ϩ/,X'?8Cr\O妃:Uplȍ|%y5AMCKʪd-g$l,<ѣ( f Hgȇad3!. [Kt(qwRSstT'AÙ*#[=yp쾑MΎO4;P֗N"k 1,lKоo_(gWCRܶ{cYЍf?Vﷃ0-Iq yb9KblBIx!2&&v;u_3 Ŋ|IP9?|YDeZjx4ח{߷'Ʊڧ|Eaܢ{oŏKe^k>(+KLEhA w<%S&ZN"ȿ N_Y wYc}YD/t%QRѪ;6z0H/W1s/-;UEv4h C yX-V{j3b qIXude'cAhJ3Q brzC3=;Vōօh^^r# ol6DtIO<V=/ F2$2%Z'V&BɁ]^ki&:H  L+AS}G5obAҍD51wB@x`A1t+;=7&23oŠHutݾڪP%"n%]#N ۋ@ .sK+hUQlm?rK>X cj8g M{>?={ſ^X=״K탒}tfG,o쨹yHXnktbIKRv,J 'V q{ۻnE=|P DUo:p|'ݳWbxdxb~?e۩s82ptq2+--\&@a58{z䁀mMGW?ɗk z*҂\n^‚]SU)D $eh4Y'K=fTz{_1_3D* Aeq.gW[LʯqPk~FDA4f F:u1K*C޷G0i6?v< 79 7矻oxg}+O+^3fݶUU qp<"16HwJM6D:0F7 ?w#L[lH#m Sdيb* *H있\`ͫ}cYV!(pa9MVd-1CW J6U#A׷5 )$ZXֳTZj؇ٝ];/OsW[n57_9M?O?_{֭l/х7OcQCkW9N\w?7]^FTT""oĐ-P{`빫h7:ϡ1z~Cmq䅠 H'! ٞJ;ӿ>Fo1^  فMl2w/vd:Vi:ȬL΂.b2ՊΗՅuܛy`4d ߟ %C%PkBMzou~<YrĄZҜTJ c@jv/Mxϥ٭['R9޷nysv{93;B-& -$wV,0f1#A30a/RII]ako?zGx)mLB!R2?4\CT%΋K:k@vR2߻$L9gJS9=U?* f8 ifv'_ˋVHN򪈴>(Iro'3ϴBEd+ww?v5>=/PZy:_-U<1;*vla~_Z{Zy~/CXbF-3Pq*[8 ڰ[p5Zݳz[~i?>p^qM2ydi'R?_Ya6U]V䛳ITlJe7rO;Q9STZ#Vu2\Vżo"Yh+ޛOnhbr4?YKPxr`r.[=jF/ԥ՘NSSL >D (]^IbQ]d]_ŽKG|-΂!DR/L=*:vKǭ]6>섁b"hs~QP4; GSQu[ixIssQ({o_*ӠPJnי=6ϭ0|R%zLRûrVr`g-?`!DX3s'm0fΟaoN; osۧ}{bٰnӴ-܃?}{y%3o֪p}>wW%H;.$XEacj6쀛g8z7krBC3<(1ցsaU7q $na9{I3Ju>^>RfB% aqR(c2z)8yF_Da_l,, c0hʉSފY8u6~ @!o ͭle">mY&6K5r4Jf(__GvOdzjR{uZ {"K^[JʕW|3?Mn\Vlҽ/ށVfI$xT; ~l'`Rm- p¨Bpdb3$*#k #PIB[B &vx)7x8s+̒Z~xH8TO^eNd?Z/Zh3 e^~xӟMv:Ϭ)x 5 ꡁjجs3oyo|߱-CO=/7*eP{XJr۝@L.#i* e . Y/sU^'hV-•v܃Z؏s2ou|1PuH{R_28Pxuy:ZѬFw5f^]?u AWw`efY^&vdy vL=j>l z^4 vxj'NͿvTGUYx@u R+B0'v|@j0]̨+m=KU䜻'ºۑհK6D+^{E4 I@~gJ,1L7;oE/Q?6IUBYϹ?egȻJ| 2*WV,,): iPB"%{pm_{jSbɇ-kU&o7k$>$aw:)/=/Cf7z継\O=K4{USXI@%Q I@5WVAW- RCԿ⒒z$"1MOrMSZ젋30QHM!Z٩7PWUԻU%^W-. dp l5l!GӐrio>-,\x}gO(呹AVH7%!6f,#{Nn% k {J%="* wvyzl\Z|^@tK6 %R)u\gXNm8^ʺ*BW}9Uv >=^LrAض_2*3x%{9.] l0Ф{UD@Ja0x4FrUpJfh1hE06dv;`D ~o*oar {NU+i*㣁﹂es'U h?+xTqAW+ŦjoIK7KZ?_|zb~v#ͼbl_-b|+"CuZF6_ukȎu'{On1٭Dlp1C#"6PSckW`'4j/[Nxf 6D( C J@U9]".P`{uS9$z @֬f`R=?̣zۀĩ=uC<y30$^pS˫+vxr!D`!&P?aἡ,:=wj3di^zp *{?~9vz^wM 3o7ֈ*/U{ν@ױ|R]m=άP/R`28c K@Z_zkWj|KM"{p15f38U ]TJh, P<: :9gab]7 JSe$iϹcT2-O >c7 Q;mln:#kEJ7|g_soS֚_xG-}7[Ӱoyf#o Xui0]xθ!%yFKIdjyٟy;ˬ6/p< Yh0]l\k[/Wo恵Cܓr {_3ߦp~`U(TTP- d♶>~3Do<] -ay6*g膆wbkw:6ԨTuluϰ%HTiODA#, <]ف?]pWd? (>fS+kEqӠDeD-x a+:zTU vrvgY.j#?w잝W@=9xd^˦CPN0H^ZoXz(NT{|#c>n;]nl6nmm 9 9j '.8kJ4SBGB(YÕty=h,P]0T.swo֚kwp8t{ӔPϟ?+EⶴZHndHl=hR _Ao|Q&tTSwZUˣL{R%J4.}]2#7vƀ\aD?1G^inc3lH>erJufifngj3 ёKB?PIN 43a)(;3@mƎ6s೦Tpc_91ue(<-Mo]WY3,G tZ}[̢|:<!X!W}635pn" Bm DUgc4V ~ͧVLe /[qfgnXr猀q5hvo`a;%m[5MZ<4 %+" &H(`w[EWԁ4"`u =J7` \D dk|)dt) ,.Vd aMx+(1!9d29[CMeܲ"~w)t d-ƥcJ5Ǭ=AphG6Z)+M z4Hw$ ZAG|d?]io` Ɲ\r$L.Y[tb| (IBf V` O ;Giܖ6 !O۶>fLjC[xEI .4!IvKI[K8tAwX LTWM_d)Z-Y88*aP إ٘xdGmnJ&FSfN$ |LD$kP.Ч_$[ejX|x چ'Soh \ڵoٞS?ٯG*mDA2أ@֘EhB ]YaItMEy^[@#zӜF3%vepJ;n~ #YBB1\'hIq J%;qާcZ@l2l7`d͎KnJ=\5iY[ F])xgqxvQD"4N7 <|Q8y|vv ע鰢9F4S'AaljjMGtwmrb26 QnL6A8^2!%J }MfcOB Ӓ8K6_ȩ%Gϴ2@iBPp+~Yٓ4&VtMƬAaz+} _Rё&4[x[bÊ}K" .u hk97!̨aԩ8I --lHߓ\6M>"`&\+ds. W._[Yዟ#!E>PBv#R{]Kz1;vz(]f#lҰ^lE;]Ǻ3Q9Yl'cqamLɢ 7ptiؕSgF~);7& ;7.o >7DB)~ADVKD5ה L`DqIG2#R➣&-tp@;!xF`KpX nfbI YoءPE!ĢtEM=#+ArJ&n!^! )Ж\{4E KP!8OǼ+'\ pa߾8(`Bn+B4udN\pl3,Ώp9IR"Ɖt.̏hC)!D4NŔґ[75;[Sƻ^rlPkyd&Nil5kȘk+r&fgPGAY]/l>6%izI'+Yoc7&:B(xB @>jqiqUOne4u[m~lSX#`*>rQ=#D rzگIA8&2Y" JEQ(mơDA^TeO6ilT= 4JN-8B|Dm "&U[!=OT5Gca[L,/tu&]wѢCaT_:TX>6lZȂB A5j%s"S^){ Gi\r}I:cgƹcӝD*3ֱh9 )Mԉm:) cS_a)@p2a+=^57ֺ輪/p%,H%LN>Q2ϗ2x6A5ڶ:OZVnD"+GK1Hړbx4j3bYS&N EzӛnF&/yITǙ,Gl382>-XGp;v-ĸ Cig%LAJsVlXT؉#R !YOSdpa|^f-LJsD$rn8`J'%v-hK Y6w3@QIف$^cD mtk2m2Q|]d Pvc ;i65Yϙz!h1}s +m VJ٩\@.^fkuzYsQ A LRج>m$\*.MeF79n;;kdK)s"k=;-Zj? ̼3mn/oBs>Ȓ=߱)gXC@_;0YοyFh@☇sip( A 5o~=ՀUS.r՛*jWlMI=B/9z߾Օ q# 'w']{泟a^H4UXb44p& @A.Xc)$vM sK3-58@ @%-Y8,.o 2^=`n(#F(#FL裧qNӳ{vCߜvC"Dfn͋$Jy4"!wJHK1]9(Vx,ud2GR)_Y٫>IZttRB76[<Pj eSTvi6A DIgQ`CjQr1zp*-FzP$FZeVysJ9kWvhk`!ޟ}te+~"j9O$Au!7t$iJ] OEvrX2!b}jbxJjhm(Q6ڤ?LʧU  F\^yO 3LȸkIߪF*=5A"HёK^abBQ%%sq{?dz۵?9Pp{< jC$l$2SD ~T`dnxs.>zgN r= i{%[('lxyɼ  d#\/~B,wZ wr9!` s=GL&.'yOзUd5EB[ۮY[Y\n]4e 5.Q:HmmK[KI oQPג ABH)θ,"|ٓGhÐGդ9?|¨IePJE,YGclIr#Y9Ŝ]̱RTX[r@ m N,m!uAhڤ<&o`(سQVX YG\0\2% m5kRN<\IgbvZ];^XY6jRI+Sr(fjyҾ 1mqn?Dsc/$m<$5Ȼ@D,pl伦jtݾhXc_ ),y>J#G+ޞ.Ğv6Ւ25' WA7f\TLT5QkCbfQv)B \p57@"|Ep w< h>rI AmɌqV:\$Au-8e3%uuF]*%=꿸K84I|N<;E%pL@UV*%6:6(:!-iG<4&'2J}g\%OG=E3liQ+I.Y\j wnMCnqY?A6!:};Q;YK \m=N, x!ѵ8UFɵXB}Z#5mOLD& c$dL}z `NP19R8$YKC[BeTGxO}_ s*wN ptAhyy-|Vc3k߉3G &#~³{ӬZ:<+lRĞ ١Gԕ,q;Dj|/qgj5fwӛlP#m%x"[D2Gekrv\nT :')?eNsFˢ!.О[}_=@-M];; r+.\JN q!)f>M5y*n 5dkN`YӴv;C:I&HfZS} K5zYxr3(_ή3%7,66" z{'M-SxAe+*,# .Y^AqgT.EdWu/:mE{ vD$$4w0 iTVo "D\3\x e`$U;c vW@ GnLM(UVIw=&̥ǙFݐߗ!rUȽ\N[i ֮G3a"9 )'q^sgg0J8b̩N09Q>eo{)Ml ӏ=Z1/UFrZ `Oo}]f5Llzlΐ/^iQ|TS-wUBCs:]f$ЄG2?zRB5mWx% bn,NپQw45I ?ZX(j[VljZCpװޛU/![?x} [R!UGMz-zS1Ė?@pzF-dAhЙ vLlAnn۾rKh@GlJp-<Npxr.l7kd ^x"P̋ZebǷl~eڕmCJi%qHUntȅulPXjq w _MFNslEN:1̸|O'4-0N/^]<)@7Y;<QS WG|Z IrʑK8Xz..ʟaۍ)DF٩uaZ٢ZmBLlj%%9j<Fi8k־Gm*,Յ4gp@RZ((iR@0.DF`BICVuYVQD~uPЍ3eRx^|N##dw}O,̀A.9e mֻ;XkAtxw!&xTR N}H._5Ϫ~Y=0˖bv.:bkmO`;ߋ:n!Kxj Qd'i 7 h-;s'X +> m;g?NޅE?_Y(1&9N2ĉcijJ%msO?ǪHT =!N؜S(֝:lJCQ7[qEy8T-S#G~͕GH,t*Yg>ٵmcnOEhFP R[VwT.[G 2Gѭ&Sa7j~k y #uNZRa\5޳iD4Bp僨9ۮ;\./dZIR(&[HiE ߪV;ZU%@ \l%R@ 1xxP{tsQ{73Qy4$Zx(b# 4V;e%G><״%ϑ ;lIMk82@ ټ냦 /][&0TiM^n; *CAݸFߝE"9T6.<9mo=TIL9N.ߜH Y:rN!u]Y;H ҾvKmny/aed7ډ=,4J-HDR ŌdyO.鰁tBTx۝Hׂз쓟{IF ;?Q ?x]˴Eo{o>){v[{OG.ϋէeESa@" .Xu4.^j׶^m[nAw6mqib(ڍ Kq''vz.K޸~@RW}zҨmg=2tTJ n(#w`[3uxe!-Az*[}K&l>M[0[w*C"-/yQ}yԨ|kN@Op}\$jzT$n$WO*E?[^YBױL&)ΜH!/$;Z?lQ 'd pl@R\̩Rbq>XW&JFu6guQK hE⒑F%Qy2$^vgZMk}9am2PKU֗@P J;m8*R1`nK+^p+@h fN;E\zXLsNeq)u A]OAa2(_3cf"b;m.=bȬX#2sB9GIzL65r;S1czh2þtHx|NS{J EXM^ۿb^D6V/, #eɮex^B]69Mo:'`\'!:mɅmiiAZ(1E?7Y*X(peFZ%5a7xeF0vW p%W)X7K_9e6ST:s26GX*]rc tF)cg"Mj^7>9݉tY>fdatU{Aiolm`Gs)jy\®v6-OF`= Rq'iMc+W`PU@YAmt<@D;MmXPb(*Zgجц%r ,;!D sO*<8,Jj Gd%zX]KQؓseҸ$֘yg% *B y)ur5plL*;PsRNYHRu5l( |ջ *,)dpyq]Yle>qp$[* /s,& l$u=g~ $|1҄gM)Qci5( ;:56F0.(L٣HGpFȮ#J|u͖>$D"SiLv91Bq2%,j-[6Wt4(0H(Lؓ<ϵܞSJH劅Y׾Wع$9r!#h>ڕ/~S_*RLcxGth+uy+fv~moⰥs[?.[;Nj]}ʗ̆ݡFch.0#9"SiaB V u#1FJYrW6tkMQKv) F^Z[.[GN ד E[>M+{Vm{cZXp@C՟zi/˅h6yja4@u g[ͮD?x PopD<&v+dH} l5js<G8`(1fJ x-|@*-BE}lWm$W\Hd t0fk(;I.⸴R^0x5fd_"Y07:;tZWVzcӏDR?Up)öo_;)Mĩ( {᫞g~SrBRJx,% vZifdv쳟}oXX*)?~ghwHV, N,6o+CV-1^{\~KV_\!W:\ BEk 3kN<+d]!Qf6V K2-rbz9* sw/CG"MHEj2eJ-ިJie\/~d_{ XKk~T<O[-ő*;?e̓"TB~vrfN(CWz.\X9alsT; 3 D&6%qnW U⪄V9ax_X+ ,i v*UdEimm!;tc|/! 等z/hT縀z/X_t dMdl7Хd Ǒ~ni/n DplBV-ы^r^\=^&@1lIM:6[L5v4Ŝj8CqU{0ڵVY8^ 9|qd[>V. 8܅WYϭup=bKKL}*u}XCV¥=u52$ǡa#ٙYm^lR3@V @%D0 I:I%xڭ;, :LH)[.Wc4g8<ⴣEp o4:Lݓ[}133/2sz]uhOtZ.Zj< #p{O~ھຽ??eÒ(Xs:$>5FQ

}{,1 i$.xڄ K᳟nt]e6-MLfI' )?- >t8m <=u%)Ϸx,?TܙVTҝhfuj!n dF:IYn˦\Cji[*ﴍڽ) VJ?#d5&bȚq-8 Qzݩ[apm`6_D}No9$4쵚tp:}ٻqMa>P" PΝ#7ow,Gyyx٨hg)о '-V.&Ѽ?Cڛ7hgfGzHCM`r6LǥGAq㏒i,:I̸GB|:` ^ϗ'* 5ɱ}bc;o_y <#l!Zr6bk q|ϤԐzbo՚};|r`$|cApH K|ԴqvɊ$nj0DpMG& Jc8]\N-Ynw])FY &ՉfNR_͖5PD H%";FB.D G>d7ً~*?dws#\ l,:+ >1$,KR~@ ƙk>8 '\ƢX MSެYuNֱ|-(|`[xh+K\m ii*-@M񳷫}ysmvfmd.D 6c^b|@ @@7 \fa՝s6U〯fUh".`@wTzӧn/# X{8%U+2%[ OZm6,GeA4 )cVi#KK8q1(0sݷy eb2Q+ELvj5Aؑjư\\Ws5CsTew߃B51|'2Swto.Ѿs$ͽR\J7ӝ! VϲUKu ʯ1CKx'Rv%Ӟ h H~oŪ݋tb6z6A}E+~;@Kk)+g3H-ڽ/晶T|# -;6&C\piglR\88SE7}-#%"+-|?qGVv}w#Z‹YN=yϷx{g?022Ot\f 8j\<83IXoW( 4u+u+# gzE9wuEpsV4HPsIò3Fkiw;;Eƴ?G .*28Nᇎ9-\Y0 KXcs2Gƾ@D-)+rՐۀĒ!GK(kX1%K Yx6rFO ZG,~b?nY\`=a?^iΦVPډ-,Ib6!rz(۠Yd6veZ:Ujc5jKw$ t2FX \@ETlOZ);N&Fv(Le5B1̗!*dDX|CVLJ;iYNdFX'z(MiS"Wx73;Z췮}ʦ%oDױyՇIkֳ{pφŐ&T<M~i6H !E}[Zbp !h*,Ka;M':dvϹʾ񵯫瞅 _G}x{'41:j7lX |qeSO##܅>E'%DC˱"GZ79~|:ݵģ}Eu+i@paCD.m$#65$/[:;"̌4R3H!Jk Dv١0H)&KgޱdB2t\#3;+gkDJ";@#QbHs0G{YΥ U:NO$ +"e3f7zlƥ]u@n{ps ,C*э;ʄ ׻ ^xgPҋl8iBѲ`2$Ip׎-^thH.>,%^_x(3J#xm.a0`ek%\eO]z l[ N~[_!GqpׯdI@߅jx^P2Id3ʓݤ-)j8" ,~UvNaW?Y(Yg_|[XY[2' x[`g Ȥ4ڿIDATloYMjb'vNX! 4F$O\*u q/AV.nkpK<df.dzYL >Lq8koMArHiXM Izm&k~ :0D[4߫[2}Vn LBpAs%9#?,AOOeX MHƕp|c*!q9š +ñ)Gcq QB㞀:1ٛq@C _#Lf^(IA @XM0CIWSLŒƎNҠT܋ɡfmRr4iOQsy޹ 2Azf dDUY8U +P\qNrhe:Hti)rGi8Uri=쫁:ݡhΓRpCI."F{@\$"牪\(Sx⊧O{-rsRݪZSʱ,K`ПY^-ص׽^&;l e'l;{=tiَyAOz de .Oۏ2RhdyKH`C6eIj_퀭rRCrF.l_!م?W-ٝwn˶a.jy x ep$^U0DBS2͝o|~ӟXi~ls(~DDIK/Roc/ƙK|y~u&~PP%@8y-JjwKK?2R s쑃vԎ4wC^hă(p|8IMYgXna:]dfC422y.]4,ڱv#>8Yd+ iaC',Z:-MQYz̚d捤D|s@Avҁbgu~߆ A2R&$ZmߧYYq 2tV,9\ [G9Բ+%OT;eԎ[߬Kه27I἟u[ɀ—ac]6= PbH+nK˫rq)zCJ܀],='۰ /6B**[En;_ZHiㅧ.,,jWwlq[H 11|+UWKv+v>e_CvOF{5oȀm- <"yȓw=2#S[m۩Cv S/ ,^|˥.p`P.TsxGvz(&}+_,QC=ǂHRmSI4.z>y{IjZExQb@t xH[W_}XY!$EKZ7~rL߾AE;/JGs‰YwҶ'.P}7L#7',4$o߱{2/ĿF~_8c d]i) x[lQOͷ5oV8M%[}ܩvce^DaE}Q!6H-G9p:pRB{3EpH62B,-LX&CCEr"s )!T+9%(aƩr <*F78Dmv?Wk$Oِ.uC.DQgL=؃x@>xp!;{OW#k"-e4HJ ދ[)$rh`t,Zvmə6UHS ,6 -e 2Xٳ~v*tātI&@BN61P'!aL Y1:$'e@5茤LG_~ x4 (Q .JTu&hQ+ҳԉk teo~'S ?@\w~U9z~ԑD9SA|˻D}^+KZp;j8r;~>oG[^d |tۗE]~}7jpYEO;i-A)/_fp+$k?/.o5d6%rf/% ﱒU.uhtf~<~@8wu;ԙmB4-:=WGo% 812YB:̄T>6 dU^h]\ ˀ1[C&7)'j)цp5hAlٮ kFY8nPjDC]Fb۷l)g+Pw߁F4U5]"}@eW*MS|0!nFLP_% ˆY0.͂~j2uRLl鶥ʒNyz6fKj9)$'͟ˑa\ƓV_"tN+#{6BQmk۷J}(IPB嘒[037y TJ#@QkhFa4U#!6(vw鿣Ti5_c?m5=Xo_bNcE,~Ѯ0.O Ϧ+E7z_]].[\M!@NH(C y$/$$i$B `2m 1ے,ɪ{{3kz3-K;gs;07yիKLsͥB+`ev^XGل17vJmoux̃/ ^|[Mo|unb3;Y2/0ůgeYf",5gS1g`| wb`˧ W:d\向XỌèm8f@XefXb.Ov ؄!4KhU_=C=:#U耤ϵ=sYՈ 侣~/|4?wܦRǓߡc7/~96Kkv͜HU/}0ӏ}  >r 4S9EfT8)wOgã 6#CWxk9&QOq4}ʏ[yҪe`D2n&ū_8{}\$ݾqi :uB} ^ tɡCLE?vZ !`^bUVCY &a~at :ƑadjMר#N$whPp{Vl3O0/q/4~[YCjPf:d7: 6R?H&|#^`}%BiM% {d,d2dg`Bu_xA3 -%J_ji$B)>T@mS.2NjS<~K#Ѽ11U=r^ۘwc߼`!"CLhW@ Cr `)sԐK4*5ԉlViXMaO!nfYM\M&N~ܦF mf'ǭ܅4u>7˘_n?<Gwǰq^d ~0Qw e`&g@Aǃ,CK5}/d!,;SAs?l>̲oʿ5<)UBh=WM5\|a+'.1W\b-8cߣ,:b>M`8l V-HO`*`2ѩÚ^ ?5dfLB Vf8: k=ݮ#ʛOUGeVAޠF\}{^&y5ϖV Cڣ5%ujm%;@cP5Y1H(4jr>cмzQӀrͱrG>)3SŅN]q V7Rq'ӤG#Y޴$-4Bl̲uɨjwY>_:YɟmmwB^9f9`B&0R$e=s矸vGAh:Ԕ|eD'sϒucmP6O'v{wjPLLn\CqWphl-n/lkQHתuu?%|!2[`O!Ƴf};%Z&j2d!OָGH1a8`U7h+bq6o;Ry K:b;d2<$wJ'fY bu`s"{eU:e4St!>v,bussKg 8u"]d J*uH⧛k|sR/D+"kɢ|l,@6:|F; :Rn2H;މo~_G'%$+4Ϥ&**[ cBF֎EUݫgcw|ҙH&2J-_ݫލi*GP2gWʝ@cjtg!f3gbY;N,V"\LcH%s]LpoI㟽+L_=cL>8f=-VOca `5z,[/#kzi;jM|l1sN5W0ۈ2&1; HΜu~ch}ؚN޲n2sg"QT%['2_>M~6]0&WfK TX"x5%^*=mIfKTd#h1ȌRL3jjUD @QIC6/#fr3JFi*3]uq0n4;hԻ`AfPVͯPo]{Ma R Tml֒!` ۱Ϩ񪂜\4:kv*iT1MUQׂzc+;"dŃ m `Rz_C65eh`3Ёh Ye:B/|+JWO|Nwb~磟6{,is"Rkڲ[MJh9MCǤ0E*7TbA VN㶛nBq*k ܑ 8&gdx{Q<{?|s-,/3>C4_y;|Ínw=/<+W`ߡ밲l:f@>4b= ff֒v,CccٞJ kg>ʆ(kݺD%֗.?e6L"YAp3@1>FcqFPHs:M3%rD¯ /jW I/OϰdqYA H_¥vm|L!. `(f^>RjC"lm'qTy=x DK9~\ر4R+ 2hf MQLG1;-JHkϨ]&]Z:M+zy5ըUQ)WN$v-^>˙:}EߠPhlEo-͢ &.F:9qep,EqOPL#*2D} 5iLk:^Z<G]xe\k+xcvyvvw7)&I\rc`)šX* C F)>O``uPS>-Юz?^—>#%,5UFyՋX}[|WS 0J%8VTDÞ .vW,E33iLY<;JUGQӵVm39}bi|!|J5f G.<lq5ye 2Kfl aIg5saS]yI6j:]ֹ|Qp>^EL})|&h~.!RT'4d$0BJuHӼ lZ ۋX<|XkLb&5;4TZTYC2l&?gKePN:|Rϩ6XͺG6t,jMQK3v+=_7a[ܰE<{ckE?1MWPGV.I[Kuyؔ[ٔ" bL^$'C5|/'Et~ ~^~8w(oo={"Fz~z@us SDKnKx/oi<v|;2Ƕ,<CkU&kNށt44GI؞z>x*g|E)i9vL38_byi|_h'i g̤@Ĥe"@4IZPN3,+Oq<-ؼ8_{?Ss~k(-7Xށ3ă_տAy݆o}a,|KgNa}cY'`b`'4l<,6"nuiÌ*Vaݯ;[ٳ/r0BK#%- o=\b#!&5ͶOԫ2i[߶XGfY6EpѴ($Оٱ:<}\{ZT6yW:)۱WFk plF!kxo: J>߾#B\) Ĝg2GR2EkMčdcD Mk:ڝߪ&BF1EB.a4A*6Щoѣؖ#M <+)ݾ-%$"* KkvZ(4}^Ib(o@xb^N=17Sf1`TXၫVX4Er!~ljl9yTJYB3 oC0k7i4h>G&UwЪ)^}1?(;^T+&3#8pN;VWqq} f<>RvtJAW&s?*޹DsQ?nKj΃|7qlXM`q 8}Ȕj7'l,;iK_63c~gpش]y `{ui~hx3hɐ1$MV,-Bػ\`u&|ZxBfnǏN@T^H2jtmNıxыbM/ڔKFJ$o6p;Vplg^*BDޏfO؂FUIqyA]㾙QhaU" Ƨ/>wY< Hcț1ggg׽ɠ؆+A)5d 5u,8DԷ?gfN/P ҩ= NO8r]X)ųU>^#a?vqkznx/*>m*5$ɖfœb$AD3 b__a1q^rx|^ix/5^˻ڲ˿>B$qYk>{ꌹ7x,8 Mo5x>׿TBL5/OȞL!$>n M=T{1fT3*|Ϟ)NKdtgk ,VїdPhbV Jgmuߐ|]%4UH4 =>Ck fA쾡h`֠C0>QUib"`~*чgY;uf*ņ\ƮcRZc!VҲڪ4 Ȼnz&l:3eٵo{p^!=v7z+^Y l#3ݺ~Ϩ9j@/|U'=O5#bXf*Htj"(֠g2ҩNUv ,},:9\)R, >/@66+29,G8y4 தӬ#SC}"Qv*^}6\*/~-7pĹ|őVeeDLN/+%@'ڬFjj<<"^tFeH+bu͛O5|v{CjǓo jCx>I 򂉆R K.AW'Y*> ˵mXpMi?k1. 0{ڷkD$OͯJ&DAE,b:ůWnk1mm#ħӯlR5cLTj ,ZY}~=goLclToqlxrlfq]q'Z#ň0Z}ʝ/5&G1gbJ< _8t^[v UWI& pԵ[.="o`{#VqƶEzuuUWk-m}.aֵucю"uND.tRsB[,3x ٬eC9Bĸc"MA ܓb9[@xOz̒?4Jz Ǐ]˗|5)LO_ Lv-l^9e:tE46Z8`[2fgI!Xh&el3M5{ `‹iլ1hL[C.xtUñ@KAGZ,fmih*7KOA0;k"ZդSwbKgpC[R aC5c/% RG!c _xaR#Ϧ23kk0So2!rLqYHD(ހk#6:g<< RT71`&z(Z L CS 2_EFTjm4WdC_h͞y40Mi-"܏Ξ wރT@+XX1i۟bj\#Ry<Ҥh³gyyDCHd-\`&Rtu2bТ#8CZ%.llk ÕR?-s;r 8pԅJ$D[p^2z Y2PF<3BYN=+sqCk+Iٔ}¥.] 9"h/O)"+x}bbk'%oEW9p(IB]~c. |IAgm0Q{_kPk^KtCaF*xfgvNLl@ ^>a2jgOxf5sD\{S8rp͉;n{.oXSZ&=*]Q,-Mg҈$2a|gtbaf Hٕ'8Oy'|g&OgQHo(.b=WVlAr"t)lgI}9Go?!lREam3tZ>aSv~i~JI&խ6c&1a| Ohzcvj3i+J==QGIm#N`gCڊ{<)1*dR)ۜl=]wK1w8^F;dswAۋBbE|*!L&.F4nn  v\#c[È Q&yuu+0X҉5vh;y 6g F%M }}=L>1"xa~?*zLl՝u۸K2Iz\bQp}Z}x7b.AhDKJ@52453kt"f `4k~m0 `ǻ?K-l A[Z,$y@BA~&l `Ա%'`4Vs6ugɨcZU ҏmoeL(Wx.E.zYePFeS&4 dFl1F5cA>Ay?q ~mo[S-Mȱv-8P++1UbI<DVSz p^y-,bnj{G ~8P4(<vAsH<_#+*IkMlW[ LBc੧C`B Uٌq`AA @hFb;#~݌i#y)9*qRk ߰DuEٶ_,B1t׃x 9a- ]Bi=g+ыoM蚙*2^2 laK+[82bU+|p-@K]? =g9pH#U4䤒_'#*idPfed﮴$n.,Yc, d 5{>s$V2D&m=:+`ܘbϰzt!s-K^Blwwb V^VdX.M1IΓ3OS½1`*Ԉ͑ߕ$==ׄi^\fwRe5"kWX' ~kj1y ƵW K,ZUv< F*],'u{rjT`e+[H?" =?p ; ;iD2[کmlr3UQnW%#5V]@%S -e͵71bt*7B4C>gl k!XaXRmɛ@Znɴ" u,-]x4Ld۰l&`d#T6nAZjFUf|}ֱaWO&WK5 ;Fw FTR\j>0X^/ȺjuV'DVxdxNz,>駰;HKbRe/V9f/}q*v`>CrLk2"à ]915h|%n_gx!e\Z^"tTq/RyԛmA@:j|ʊM x&9^vmxD)fIWCaܸg xbo6#! ؇IyqmċM~(.>ÞTv?]7bPdjVQ? :PSR]QP+* 0!^3Aan&mc^{uqUXԙ3Q-oYO(.‘Qe^Z$l6y7zdlt1NjԴCZdͺ%=$9 oe@@t蓺]f@̶lly"qeT~0Ybh$ 6-Z9޺[5.82Ώ avyf؂aoFkz1+9=Ԑ$!yuY&DVZev",Džgːe>67qU\-" :y+,<ьJUTDTMXc ʻghsl{,\IwanʞΟkМDϚ/q)?NTLS!?|{O!jI\AN(YϻNĂϗ$PS7~o&Ťk:r)1Nm-X0U0>3k36S_Nc3mA,N¹dmŠ-.j{5W/?i`kZy^#65*eE38eх{"%seY~dcV \uhY# `ǵ:o'7Q_a_G63]EnܟHe6S]hi" Xw 3!ȚTXVDXu?c:ꖭ}-5%%>& OImtjZ%(LfٟA@&^jʯȸݞJ1'(>gNCKmM&FN@6Fy-#sx8~|u{u r=xA)&<*`و.e:4cS>ɝD yM] Y?GMT6Ms4Qk6+UtެoY;CDd.p t/ Z<7&*`}-%w BȥgvԵy ى$ D&F\D+_?ZC[áPHUm4lfH Jƥ]xh3$E7H'4H1r(?t`!YSh\>B*2D"8x!ڨM/U6m6!] foj5~$ɇ'Bu~>7lYEUJ8^&TejVQKieȾhjyG6E{8~*H 1Bx!3A!,Yke̾laM{&±Sb3)۩FS]'޺ԗ5K\| ^>M NLfqˀ1~h2gh@BD`d|(8H~!əx9jv'TA 5]vUPm, @>rAܙ ȝ8|G5 !읝QOE.&ZgRئ :|X'kJjB%C-] J SG/Ml?"Gmj&,[V@+|Ws:mn= 5Czj#yt= T/A{dt3zS8|h] fPn{HPHLm'FS>p˼;"1$!QZ3]m"_-#H+8C'Đ"L6LU8$->im MF5Z4a9}|X."6^B~2:'w]fuGϭӊXn7m GX_`ӂCnv/3%#AZJ*1' 1բM Y$crt .P5lh`k#-KBKʰC/{ χqrJ5!,a20v7l?ŃFZI׺FfXۘOQ+ޭ-;D\s4/RӈeV`f "- K`єe B Uh.&c2X 0e4"ؙ\Јi}C0Xf4FvU-߉kџIe| T֏t39uf!,H,/?ܝ²( ^3ti3%^`E~?F7xI8Oq)|Y@wRNőbIP$Ʈ^z/IdX쉩27(%?fz0i6GEI1"dfh‡r.Cll GhS8/sPe !f_O,8ψU5JOXNx@F3RUT%Hj8()ՉO bB ^y ̗Ү_Cyf9HtZNP_ʎ?Skje2Ji( Rb`!N /N.F53;c3i>DoaubqzY}:5d[-T2Κe@M8իl2R 3u)()05}YقE=e ŐeպTilUCPXDsi y"!l%GU0%պjtN<+pϐ^ Ϩx/4Rm* 3Uxvp Ζ43;59?P wN8gyeV8gyį} JY U9s*yKg +ё?-\edmj-dig|؋.?7ڳ|/r6qzދnn=w Ч>0P,O ̰aJ u(h0|_gdb 02(OjHbc Π3ى]X]|51ކ;*QtMj * B j0Axُ R?7Fؑ T|E{=Xϻ$ ˶qob[Ġ]e@؞YN2ť*wgւ63`׈65hW[f\"+$ xЯ2aga̲tݟGxݾu(>{"y/Q'Ke|!=C$pB2|<~;8_d& '5KQۢਮ1`P!L&lLL0Tn/%b<Afl Ywp(``ăWVg6ZYX63 z&C (lV0/}X̰r-aKΠ1(uTgTW?\/N(8Q; 2dg#%I ^7/V`ih6`ʦpo@"M\3P]l+jS] y]&:d䕁8j]fˮe0cI1σ$UJUSMd@u(u0%4\W7e-m]a'WW$؇#'C4%!ٖQKEhV} %U7=tȳó^0ix_ H {nFEwG1w7=hHY?)E.\c7=~?cwmVM<4_oN =ߓUY t"y,D53nJ卿̛yKfZYӴΨ% ::¬Viyvwv!7䥊Λ/ ~/'ahl"Kٶ߄XҖƆj!I\/l^165P=mRmgdJ?l8JwnjN&uJ&0Rs7`^66V -8x,נucuZ*RJgQ't4ܒHDP7jf"h尽q0;3gpŒg4YGklhHNOE.UB*Z 㟓ߘMtYiwE֒PCzxc~^å#CT=p<(BVIF JͮC䮓2SJoc(aBJaM$^~m5cnl7:-^v=~ĉkqϾ4 t}nI#N 0H+nRcT |Y4|8)Wڜ3:4z&N/)hQW/J&$t}wwm7qlQdᤇ.DB#w5s-.36D|X#3\?Y$!w4/K@`l(=f e̼%m\uh~S VRQ\0Qͥ'LWb1m =B ZٕfK/'e,ַʐcw7=T*e?Q𕡇f}~MiP)m]/#/Vň;\>f#A:3pMڼRFtslG7tǤ-m04IV^d)ktUH+,(`TlEjPJ2Ѹ:\m{-Dk7[.(bA)@P@BD%(-Iۖ O}݊ҭ/mhihEPP RB **|is\{c|Qr9g1s \.Mim&L7e.{фUO$kzMezu{iWχAjC$ntO hϙ3-k"{7r?n~cX_jG}6]K MbYVBT2;R#c0.!!(Itp" V$FRbsKE4UsBAUJ‘K(O+4ʷ {wƨSTD?2fGBvIM7#Ie;\ cA+\"C5T8t4Je^xG|Iq 醮ш)NxpJsJ@l*DTqB?"t:;mgמ0 ښ$9˘Β[,ѵ;H*% [_ߞzi\|ߕI6hV}Ry %0ϐv32ИFÿA[]Yf];3\.rF:ȑ"sՂ[^^tJ-!@+Aφ"m~}^R8k 7p7>ޒ)ZzVB!Ygv6&"looZMը`7G:VWK0Қ<^Ԏ%1dLe0g::#Dz8jeQf덴Sn2,IT{,si:Ɲ/bZ<.]:JI%,åx~W>$"ƾEA? [\'&<, Մ]kt,# 4OG> Q+PR9|ζv+e@]ʻ@MMJŪPVB4 eIas:WЂQM.WЖYiya9n5W`;;b3cB$X8Eg^,EyCE {]<ԯ!4hӰK$njB҂ga "0uuA@:0LZi{ nVگ|ϔ ޹fk~WU30Q {8@*lgb5lvxb8.E!I&4]Mڅ]$" '%bTrA")go{}oٓo+r- ը&2@ hwFE5&uZ% `yRTfҨ&ʂtA`@B{qԀ겱98D[e"2iԷ{;A5IRZ BhXI3Z9酴h EFGdP)҂W/X?j;5&P\dw1K,Yk4# 孮?shʲ*a6jpB6P: ߕȀ5߷Xr5fE2M(; ( ߽s0d׳ Iװ<#ۯGG)?dN*`S7뙰'0:[S[Rboxq{r[RpA;Kߞ|8Հ îUJZ%!-%LX2 VkӘ|b nR: ":J,5VRG-*IA'~XgL>_Q2r5Ej7hϚ<0HS##2BDu?v&22A8zk9?Z t&-. 4 *Wٱ\g]zl SץBP,\fɑDS[Q߽8W͠`iYihQ>:t!s5jCx'$j& Ɣ3wC*Nj{/0y@F[pN/K*.U,qr2.W8jqA&[ T>DWHsC0ek \|x[ii!: EVg ٸ unԴ?EdB-=FWt`\izTVDIP2ћxO]>D(:SqKUj=K88 y%uJ2LQOl beP3" " LsEuvIqL!ÀYrG2VKb젳Åf.o`l>g]l^(ɐ#-W.ަ[K5vw6BryA>KN,13;M4I?e]˽{*rDZݰ%>5ΨćRHmgDzTidLˀc>bmν}X(tѴC%K.W_MeJMJDmڵG/Yߟ !/;#b:^R.hT7Zf0_`Dd ڈ*\l^`ew-(͆XC~9?&Qc"\pZJ3 ^?[PukT#`°$ i~ƟRU\{R?;kLÝ1:i4a |>۞$$I`4톻DCHRt3JGm 3@Au(Fq-dI<ȞI @x,ŸI[$y;c7I(ZMtb'c du)LJ.#۝.@MeT\2GrQtiiQ[W٥I£.UhM6ѩK|D??T9I ~s>8\H##;h6Ve.;xI.n>r-a__|/Z3mȅ"A.D[sey{^'R#zFY,z"ŝu+!p<\q ]3"R*f PyS\KY<@HX13nǏ9xaL6DrRxS*m_>ljnKuCCY$U(L-EF߷~*x\f/L7 WQȣGfz{CY8x%1 vqp]Xf O :44} ~SLS0P*#$p !HM)Dr鑘AaYf}[R5ci]؇kMpٓ" @(lO F0˳&@Hb,ֺ3RgZ@ЙLJߥЈ稜G 2oNh5\+X-и,K0=niCNfjjr%kQ.^6lr#Y@z XV}{Q Mأ;;!H#_+5= ô)d\\dG,*2cO%3:GldЋ2rˡ K4,5=/~aY627f([)FҨYq TFg D?56Ώ+ S_ ' tdbݟ/[oMPZP )z#Q)>s&;3u[GBD< K ~Tf1ÉǠOHN>UiP@[QK?2gO>`vv3}nEyur -#@8x˂S˞zOX@BI],h(ı/dYSZuQ=Us2^`=V2Mŋ}QR."I7%ʕˍ;2WT>O~ɩ?`~˧x\…KM]e".jk{6?_e|5t-Rbd4I̦32";?AT]7⹇$ѡ$@pkAU&R;*-k30' jw$UF:1$ RoY*[VXD.9Dv6ٚ}bwiu6ىšK\Yv#4/ŔXkG2_>De4 B R3k)-~(h9Ԕ C"⸄@5R%`4#7.)n!q1l m7 ?L-{(٨sE|$E !g+D#0`AݜDi $QH3B QEc>_ Q~qcPVd?1ahFω*yA  X#_<Ż<Ϝ2-riun}S%w>~[$Y⶗Y\Mi'"vHEK8$H rLȈ {! 8C\:qL)vNʶ8m[fd&'gx(!{Uڕo7HJbqhK5BiZ$'TkC&3^ 깣Yd`{ h&/Hp\=-CBnC&P~2l\9,`1eؗ7ߔI $(cՕ$|B!+jxd93M6\uf a!G>dAzց=%/cwPP'"^G ncju"'JkP /dL*,Uvte++x^ld_ c51uEj8+KWf0\ @R66U* FρإD$'P2N:ѰW5]䉄?(U%1[ߵ^gNV2H?v3v_IEc˃UB-N(8Y#J@WG@i565fB2gkmxG>\cyƲ"NK-\Y $ш#IJd_Cd.p*]؞hoe?Ǯ ȷ,kO{]I|/>-[;D%:/xՋ8HDc.Q$Cm1`iAl Uw@ -@L*c44ұͫqцzY`Y+At8J¡,Uv؂ Q'5e:5^=}ݬRgSEg&rz!EJf}2ԉ# {f+G/tSti><;W}$2`$Oa 98agond  lE4CŘH)-4KlF6iyH)g\3R(V)kِԃ9i9 J8RU Gk;;"LDAr8^FS]twfή;w#܏1ݧ* Up!!N#[([=42hֲOA꾵/×sir{_3쉋)6ghF2c~UQkWA áD e'l@|#\~te]`)ϟr9'_vG[1P:y"b)a[12^T2Zl7\-] 4%EMev ȔEM<¥h BS;~6w~|lmF]?գ.[+A &:c;@pjB QYd!m0ʠшzsla.iǸ}\8$$!t_E,LKrd &̠>/7ډW ͕KB/^c=>^l' QiGʌz/cc3_IMGNX2930?2y Q $ʉĭR)Ln6,eeңGR*&L,LV,8Yl覥DTbsrL|XP@IP]iXeKBʙi(Jbn%Ȁgʀvi;vza ቞xv- Il?4 ݧ>F+ =ݷ -6<8G{@b+ FLogB)c_wVs•[֗%sdNcrў;R՚ZzT٤IG|1ZȒTNez6jv7P+ۥud|mSnpO+m\4Jiyλ6_Nv98Y\>"Z`I$^-SluQ gqt~Q}0igO&`\jZ*`$ېiأ30 jڈC<3CN:l`jri(yÉ-ϣ^g8|vEBE.gCfDh!b:vvw\z{8ߖ#d׶wl95zQ5\Hsxt-ebZ\P'(D$v'Ohd IWҊ< 5d$ߞMC 0pLKјʮ+B`CN>&3')f|::ܜ{\gl\But#y{@ʴĎ od|Y^߉^cR5*穠9Co7lwg:SS#L`${2K Zf*SOCw(Dʗ O'? OݔF&iD48@nVvn-k3ytu{v{dgoV+kK >  k^S(evݍG_-ڢ%,S;&O8|@"%YYCcwO:ʞJ΀Q?Tf*qd$8;Tr67z0̚> X>Ygc!jm v@A=x!I㙠ҖI/ bQ|k"J]=>w18 G\&%dEJ7hI"PBߴ Ta&i<6S)'@1{[kvgU>ydQ'q:XLg;A/p!kڜ {;,LXu@ZvA,r*wX3AοK 3}}vNj^.Qҍ*mnl.믷\kWWl{ߎ.[y{'O|]~͋-? 5@)yN'jb,3UvXq'V.#o4"./^NǼ126P&o d\GLكj$(tfHw+(82ɖKؓf"8k˸]k6vWEԳbW1AE1d1w 2jQ~*;TepKR0O\ αS\ u[/[6ޱxKX:*. D1spI2oj`id2 \ Aβ$9 1Nep݃"|SLl -&{=&Y *S됈?)2GʳG=8E&&(p5B,1pȆ/4Ѫi w<tϑ/C\p$de%wٗbSR]N:iݙu,87m&J4%"4%hjTĥ ]员A NïgEk`πO ʽ$@:g5\~xIgݤVܳ%]|~IWv?dKwin'oZG}Y~ VgIV%pÏY5<yog{8QJLtY#\.f!cp(~Tg1[FSMv]=9GpT2eB{GvMԃ>nO)7tPn8h 'Ia.7t>q-$٬9Y Y >PO+v |1]PНFm|>OK=u}ب [H|MHrI@ʕ5::Y82?sϪ""Y c"ù:ٍWLMÞ4LcM ݙP0"A},!7SB_c36.{'TΡ0q{ gF&_6 ׸qZ۫v ǟTSv\d1e|{Sy5r.+c /M NHUMMf2cG'z"v \eZ4]a-kFd5j˰dR cֿh>M;Gr٥W*vmuu(!ʀMO>|Պx8q|g2ȩS9+Vb.$E&?XF;xXI8\Q➉tfAeM+ ёgh:*%jcO:g-) +3 W8Ŏ(΁l ٵy[^8xd54d[ԭ0-E=[&dpBT|Ѵ+,#+<Tb,S`ё"5]k\ʋRNb@44t !MR)* ||- !$A_jF\7h"%EKr(-Z+a؃k8{[]{Ͽ~86ڽBr%X2k9vùlǯ=u[Y2l<Ճf+U/]Kwm{O'jkvޞw؇k@Ƨs_tKŴ]`"KZP,HDƭM Z%qcdlSY{ف8Ypo&cQ&N'dxqC҅B`a :\BG=[\"{-_;D Ipw{\vԹlFuk頶'}ڜmQ?j$˗in*X}`I_\MU糌juite#H ߛdN QD'եu9ߏ f{F$~VϮf8d_D.* q8k*'I˨ /jA B ^vξFԶ㑇dA/;iWZ:T%( Ԑ3AK5&=듞t# V; gl+. )>ֹjk%m_[.DwgscsӮ^E'Cc<nKvd>2mcs+P䐋9 ;~"/֨Y R$k; ֮e4cw :S㏆! M3(9O}֝b*eNYK1"wO oNҖPY8)"][=o+WΎ}' /\^wo?]wÛo|eidyOPL.{)+Dۚ~=W0S'# 2U|T늓ޞ79#˭U_Ã[G jaGwv2f4t !pzɷ`"i{!=ӔΊm#?ߎ/,xM!)IFNBL$I$hN:ʌ#d_׈N]<h{cdAk4CSLGˀT5*2`K'$eIE{Y,C|=LhwG!rP1Ձ hfk~ YTb,lǢ4ggJd5,H@q3FVQ$pτ]^Y?{QjBS+d2c ਩yhY,Ѡ#Gq1-水f@*y˛oyom$NBn OK dBGT<8 Ux'q߱K"@!}) uQFT+Z*]+4R68hF蕨TfF{ k?xJå0ATJEY|.^xk\2A\YY B2ZvěSkr>o[?HiTȚ׾2it6\)|!n'aQsć?kLXJd2#hI.I5WinII1k[unvv7@iڱ!l qKEVW"Ө^)6Cw^D\N@̄'"K5f^Kx2z] K}eRܹKNIY~) hf||YW ֙8g=hQfY G5D8IpHh*[FƩ#vUJ:<=XWi<3mb4ej&~ `L7蒰MDԜRF|Qͅ$z0 eD SO62#i&`,ܠ$!4 ;n YE|18#Qj D|vؘdLsJsve{&OM)H.͏qPpp gh, xxƟ d<iJA 1ǴO؞#>דhYrm Τ!Lw5_]yk'@qsSwQj+~y.a'*A-/0zPb8z~LAJ $md1`ju\!im\D3d(.Ԛc7;Cja"&)n-XFsKCwibT&%&@Ҫk/.$=}fv2zK 9,O!Z/2ȱGGYXQ&fЋG2vBrPeD12RTۈFni)|XwBI(nQz,F"ˀKa]9q$t ]"5:Ȏ{U}~u',YQOHx$sTQ 쏤/T!fǟ$cuNoA=8rM|-0Qm @,ktفf_Bp7 Hy 8=Rmc[ kpqGn]m\|}dvoAM| )R+e,84. B7;֜e`9\z\f:eGi*( 9-U<]b~+6+r-.gQs2t*Rh%C?zv),ypx^8ٟtgm_z-~VTR P@$o Ҽ5N*`,wgs /f"2LVW6}=: b(f8aF<@TTav+hdErdK0eCzp9'Jc-V j^zT.(OjHQq; 5ֈ(Ԏ' l֐h+SA&dg3 PN_@V-"g=+d#F'qa]|*-ԟs"$`4M1vIgY%ldN*|dȮnv&vI#'^-6_,K{;nXg:'mO1+1uCƘNAZdׄ; ^(DAe(g"JuPg*e՘ ~(1FGtYmXS3Rc?i[ڱFGg2GB& w$:Ǔp& ?\Y$3V<t'j!5<Ѕ&%(jnĮ;{ց)`ZXny5[W @)%SqebK$|:u{lcx#;qp9g>1W$s^M\{S7ٳo~[_Ə+tg Z1@~jbUJYGgn\Kj"beymN% 9-DpZ$I<㚗Ψh(J3 DT2k48wÆq@ߵǽM^J [__agf%בpN\&QXJj xfT[$xHlmbsOv~í3^4pz.MQ?*tړK9NCA;sOLNF q]3#`IG Z-ۨuqS򕙋ȏ7iM*j;?48PU&*5SHOO D78!W-GrP&rZ Vㅦҙ?  }*!@qQ٣`)>cxK?6څQLM<p5~,iNT ?d#[x3! S$>f &3>c',K]:u vY-=bq*2Ed2$S]5Sx@qBc^ 2K{҈{Ӏf(G\"EEƀC_oX]<nXYB&dne )ӈ@ڭYҨ[pe.> )g:c;x]Y٣TIQls KSmND؀w .20;t %ID p$&"%zf??=F/b We9A$]%9М?eU4/T /kŐwEƟp3B0h:ʞ?G,ȸ\S$ \, 0?KVPU` gjc$ XTϿn|eE %d dZ*o?xbǺ;~$?9 + qbϕ)d[2 Nxg'ưӶ^^'E'NvmiF~h}8)+*lز%)C"L'W{= ۂϸtq$]oM{^gxͽy۞(Kc>}Z~?[j|oo 0e_Le ;4gk5߻qZ4!^ Ylb! gc=.bOJ 3MՆ@or""*.ttU@޽Fߎx6t Ep3֜8Br_-+rH{rC+::{ 3O.dpjyDtC^zv^`MlړQ=8gXʕbl2SC,"LlRF|sg@ JY=v!oI;E;VIq-䝩lܲ6\%OA!3ЙvdF3:/y4Bu R>.#EDK>hKgd` p ҁ$"B˗.hyY]ۮ[n\ęmmspMXwq2ɢЇ.d&[ PǴ_,]醅M+>>Ǐke'l"L?~ Q>7{(Ҳ{cTlrsH'NLQiYij+m~su?C$]6.W}gٚݱ͓]gBޞڶ! _#'=rR 2y \A,[$G.϶_NWɹЫ[Mk6F..(zR>-E+!ţ)ȡd2xʙ*6xtkYDyOvsl\r%@9u^==>oշ9rЍ2aKy߷|df'\:zyDT kCtŧ:`M& iȹ=g5 R.PSTR+0^6-s4)xոv<.PTDsG܂$9ۣ@@vC.~F ;,φq=xljP##9CH-Uwq 7'@i(ʿչLE@x<;$qG`Jh{N@0kO@+BLD%ₑ{3E>pYͿ+"IuHx|ųsҧ`3sڂJɉ#+Bz fQ_. Ptm;uz17j"/KqYR}'VcfՅՖ,9)N! ǭ޷l}GY5STҾGZVmSp:JS,{1jίڳYyiiuXUZ매aHnGߔ jo)J j/ׁmo(&8y#@a$AX>Ђ wi8ji F$2F;5W ,䭷G#i3LOhuIXИ4YM#U2!i'dHa$yXNsm TŃC2k(Tj&ܤp (i&ά!Ï?T>Kj z=jmsg-][ >O2Jfn^2}ȶVskov{?d{Gg_q/W {Ӫ~[} jonMڿ7jο}ꙣMKBT BMd)@ɾ;mԹ;-GCmbf%fDoB T>ooY2?( ȗHtgR]l??zPŽyz%}DJRT6&[/ԝg %p{nR=&}/1{ҫ(欃L9~feN;K 8?C4lŜ >4ZlܢJ;γD֙Fy&5:ۡIR,3i6QϟUo:$c!Y)xAg`gԺTpܶ܂\uiq3t;36q4 B3=Q'kl^`{#:F ْ!;4̛do[N}?Ztm$mk|_yBtp8ya&Cd,$sO!&93<BPg+ZsB\<Zh#ۀyVM,fO}ϞwifcGN[wel~7{-wSUz}o+(}[h{oƧjXA}((;fu;&r UNd5!Qj6־wӜ%@eK />\*=^a_[KW>n^tӟ ;w){KcMhw~|"63k9[&N 뽈&}\QCKkzx}k쓖 [`j(8]\aJLZ3|"HFϙq(G%6*"PgAeQ05Z٤7&-KA B^';|2.8c6lNİM/|%`Wdq &i6 deܰ"֑EOFd)h*T lqqŗMrfkuPrᑜwf=:(I^"ѐz3'$ym(wP*5]jU@rfo"C{7.MvXvzMܲ|c >rPШh?vI\vr$4ln~e}H9&Yv8%l/[23}1k=3ǬzꨭȂ'VQrYz܎v%w%n~7?j~'t8"#sfb@鷭✽ůO~^%-yFڟ| ?cJ>c@Ge 9r0DFl^olF}2N Gֆ=gSv8Ђmnُwq_eDXeUpL!6l3+U*@]33__!h/cq, ;jkV24a<,-z?;~ sZy'qZ[[M<ؘX~3\j5i)ơjKsg(#۱ck +yXB}Cp$ m;,;3kV/~NIDH' M)RlQ  6DEBD/zEWAE!^<<<)ggg2j۲sDVVZDTί Wr m}-Ąɭ0꙽E]vb'~Ȏl, fRǀ/jdmmDϲ>6\E`"s4S! s)EaٹED_tXes5ɇRiJ)(V\"W=χG z@$UTH0ؙCުMp:zZ@DNՂLkh.4Щb)` ?%=Ѱ+? HHhQPdJbpb~.@F[<#XZX- q$\A!z@>IJ~Bgo^?G?ގC1,P%Y6,̽"Dn[cOHB'?l=' 6y!X#d[4nf%dԇ6ٮ$zuz~yͳl~ORi~g~NJ<L!XȎ^JSnbWoKe;cpK/n7q8&Q4[: vc ^1;jDZ2+N@"h'F\ Hup=4{TD3<@/Ev#Q󹺱) \hu$|ɜlܰr6O30Б 06Jac_N1$Y0ˆ%y򐡹%4[C4 V)HߠLYoQ4UƉ)-p&U,˅}?8Nx~fC/G= ו,)hԣGԟoq__̗dUVPcȦ; ̆R TYTd6XO wS6@r$7'~OmmVG>Z̞WY7ޞӬ(i:m }`͵u+GwUͳɎ>h*c<&.k/ -H=cMztz kr&;6eT9;(2-I[vŤF1p8߶mڸ㕌 l./P޲=v 6 :eeI9` tRT579L%ĒgϥZ1dGq$Vj-56LÄ`8$I\Pj-ޱ(ɝ#|H!j9s$6M_com:UC`d,+S6F.|> /`9Aq7 xiS'3ki A$UԉKRbFME59H%E MQƌ5m#큾+gV~Uv>$]ky) >B툷}S_|8r_yp-`|GD {{,fYK8TU\ 3ϢRR UkDYY^v{{Y[ww6'~Ԛؒyeh#4 \g6#ѵ5l|x*`(p7J@ "֒}ԩEpXqT%3c{k^r}w=[m4UGBzz6+M~1 ) 6/hؗJtA4X% HZaeO5_[;_u h׳~{C[Hh<;욛nko.$)^[Z͂=H+î 1k@r .(r! V1y6pyX&5Ҽ@o^,/1 4M4@KciP$,8#$3KK2aS1_[$!M@@Mp0@1`]+ޭe8 9%[[ ׼[oUkw^;r#4%x ,/~V'=/Rt>6O@0 ߅Tvj|Qbq~g/s6Q#{^촭׵+o~Ukc|o7`sھv{g??I'7w~^a'^ιG]4-bM;C][iFҌ K4g~Z  <ۄ?'*J-bL. k*9acNo/HtT8b.~&C#ٽ'N{ ?r/;jY۱} ;v`C->vxex}h}PjK/Gh$ǻ[tnmP,ƵW恹j+KuQSEٵ;{ `EC~O}Uf/7+xڛDbXK{3m5 O߳iܸgIzyٶ&Ƞ/JRJ_XK<[<TIKk3&O]^FH!qsŶ_8i˛"Ejd䙆H e,@v}s/J\=P]Xxɖΐ׮hW)cf5KjTBEwӪ/4]f22)4 5o \xB /m~츁-> S("Kzmtט{ޝH|ph&Ò{ӛY޿Z(̄%JU{v,z͂h@*DmL* |pJ9 >FiZBő>{bпgAs?rl 4$J w`62X#&۩M+Zv=},=8=5gt;{B>G-jYnwϙf\<>P1k"< q#ѠP!ʊ_u{grBY{R',6lIJJKfa'ϜChX) -\gd=%~ L77oYƢ: 3zEˏU/AXS(YQ.6Y.ԈpLVE(RG2)1TvDtY1VϰmR?}%aMӚ&B w`Ɇ!O{5:BԀul^/{wg"DΑfDXCu=Z$kE%5A^`a{BﵙCbԖڊQG13`dOÐi)K5g9S}7!AMXK=ڪ赥K۪zg$ rf3SNmē@iynWd;; PBQ LfT/~:Z# k_ޮ?pSGBu%k`;G贍'! 82ȁժD^QBcIzg.؃%P] g9VKhPvcV-l@?\`"+ě?.ȤK8fGJnK^mIKmp4DuKT:p=01"#)i@ `4 B!69˾|*WA̔ h@̄R7Γ`Бv"%$PP~T 8^*)t4#B>ẻCg|wleGUK#zv˵ǭ:گG7WieH]et}ucuxޭw"6Y;q׽KET %l׊a`iYmVHiAk2۞grvHfKa_K_v5u1]{U?nw\spUPfTT.p e嵖g%xoX1I 䬖3[xgj0e=dzuA .5WD,|s+J.I+!%5ZM>m/pݶ1pO^z/% I5u6jZV{&ѫN U1L۹/y1pݱ*p>KBx~V"a̡懿\"U2xL[HDIcj) -{ٟYۇxtvMy[9YˑNS )"OU"qvU|/4aa=Th[+`)HQ?>8`3La㏊5D6 ^j$)Daj%Omv+]eeNl_>WR,+ihvI ]~-{6lg_jKlpxZi^BԸ=5hvU}V=D;-ێgv0(]n]~?momx]6$|Ԟﱗkm^K;OڅJ:KP :˙c\7m}_Hmw;K# aK_PN"$h r]8Dp&ӱ?d KcM{A J3uj)@bMU?Ly42()d{g:h Gxz2MRAd&vp"W=L=5Q۽fwβDyd%p,9`CA#~sOU@bm$PAV{г@K(s a(+U.{ڣ)!I\Yl)D"}y졅 I{y[]^;7= dm>/O{blhW3B͍rch!+n^PTKKu;t`U,d?LsfJؠ@T6$,%(׋vu23MVc23ۙgUL?!*B,ad`%hƙzA)Q2.>ѹsQnE iߢ{5ԣv1*H`!QȄ &`8ՓVƁ_[-ث_\h_00D%A6Xr*Sb1&/М]4$ޟ'Lk6V[v} $jV'Z7z>!ph#\ v^moK|诬VW;sY{ݞt~#W8*P6P9--z-/ۦ OvH.n mQoK5kE@ZsG?P dXouw[DT_Zؖ=~XIʪmg+NBKJM,,x bсcU]0.: ([!E1|C .5yޖP2n{taNӰ@f֏=ke295 &@CEXFBt:PLPC L>}L=K;)`IC?L+oy&b@FS1 E5C5_" <|c6G o-Jꀋ9T-G.v",}VWy4 RL9NCt??v[v?*]~1yk>Oٻ?9U^SO\[! }Qz7ԝ4+bNE à9#~W5/s[{~ lG*!U"C+q\_8;lO{6x qmfs˗m988*B- m/(zGUԙgɂEbRZk:b,gr`:ϋrr1БIڻXܴKWSW|{SN"<H^֠^;.$kv>\?]տo6p Ssj{_(W!/>{Y_f.gp ԖdVAP4jM85ڹzTϦ^dDQ^1Uz0W-wԕT8(#+*G\eJNp{x+LϼB VZz|v懭,;h12$]H~z^V! =@4閃 !YA~cG t+ɕqWG[@G ?KAkb (%%ņY}^\$q>UYMlx8x3lĖ(raݮm H2-H=\kj"]'j/l2@iR Iep,Π5:{ܶ뮺ؖ4#P?3.X@#WTU(3 z3/%h4בDU ޷( Z " b ڂ:Yp;fgp]ޣU*h2׻MfO瘙D}$Fh*$qK@v#.N;ڒT\*/E[vl5|mKrfxYk64"S WjMk.լ;+hƣo|k7*OV}`Kc|ﵿ WV>R$%H.O2?v0R+;{ `RT d. ze(( R7ҠdYkB]`\Vd=CPv#R*tZ65 + (I31 C k (W%z*"Ji0 Y3Air|\w2b1K@FK^ :x>D&AX>,E]ޠ;KSr3L$E@䙦 PE*rKL*^2 2|7VK>85 b3/#<)H=̔Qk%~^оǖl<%JPK2cjpC\XAvbź RIg ;Se~TYɖ T\ |&yT  lW̤ j0/I: %Imi]*~YN9g{H8aW_p6u+RoX~gDs?Km%#q,\V>;mzsk ֚U%ͲaPbv`˳>{;mױF3W앿;W]v@FΞܵ|īǁM8/%!R"݆yHͷ]oYiO<2Ad8뇫@Q_~ɦY PJGҞ}}`LTVjKҕ0^HB$59vrIE3.?X%;]M!fxwK" enq ǜ((T*IPd!XdDI$Y6BÔ GOCreX~50cz*蹵VNԛϧC+bu,H:$gl$X]OF=bw (a_GP*7dt9_u fs0"R<\eb$)3m(P6S9@լU@.JToY[ W=WUV% ^(Oض-ocz"뇪cӯ~g|1mmo[۴ m*ؕ,obw%y{UL&w?mum*cLl+1y{N,X_W-?L}+K:/տi?VϦ(>jnixNGQ}^} G#{>eTla\[k ۄ42d8lA@MCF—'pbUP%A &y3dҠTI5<\_pV=1 ްD%e5۬j5*v}xc@HSoA j<.c0NzplgAT `Gj+h&Nѱg/8k 3EՀy!/iLD:N<ٕVFFv QJ< 2R@%B(G\+vռ*Wbvb tW׷|q;YCwe+e583y`-.?nU.fcn OBeq d5W \a $+8E(xU +QFgڌVRQ[bi\u?$Jej<ŞSZ7D*Ab fv\˩ !0glژ3dKEt\4! &eB]Rqq zz`8_Ep|b L,-EBQHlaɹ!/Ɂ%BZ*{PRTu(x F LH`#Rk3w~i¶˵۷s;֑??J~AھjΟs'v_{@n||!tK3Ul>ғ\i򮿵iy[Kk"-3@hFs,TGyۡ x;zOvv'[gO~3 .[Ɠ I@s_o5E5eA']ERiB=s)' .(f^T2`Y5c#0z.y@iUE#}*08x\i%)V%lk^zKqo3ANQGazɇڒ~IabEx!\ JQV,KMp$AH,D=DW]Vo4 藛W TAJ-PU89Z2 ŷN"<I.$`*WX[=qg54H4%45tfN83L 0֮ ZMGE`+Iz*kAY o an~8pޙl' ̴n#S *B I?LY1u =c6;[k,m{eH"aR}$M؏\ٿZ3"=ˌpRZt =&^'+$˽îMS)R5t4.e.A7 (덂84A0 xv8R?cBWHH=dwPFhq}D)P<(HdD4ʒ 70 MyԇEQ$!"Q9 Pw6lP⑥^QSZ~@)У(S)YHUZ@1۷}m  dw>c'OiUH;cW}?:{۝/ڤj_g>J]gJI 4D|3$\/ 5Q?*O"U0l($ HYőV+&|,\&X)I8ՍVJ-yTo i2J$uG/~9Qc! E?w< }u(1oؓ+L&i{[Fx,5&Y{>@mc%FCmҤȃ)6bZ팡)%iy0!o"D"91ZU^.&ᆦ`S") ( v2T ԒR*U-mYt&u}{/m=LGZ6.>8B_噉Xͅ<},!#I9_ `.*AT. ~`D-z׆_jvTWJ-<8.]Sq@Ti7@M@ؔ rw  P=dU̍`. !BQAkNP!i-Cͮx@6~>{׮'|(ư#D&ȏAXSEp@.\HL'-x]6{p^nnivWb,Ϟ9a׾/=wv5kXTGN, 'jhvo6Mkv5Wٝ? ɿ{l~ہ̦'Hep-dکk>4R?*j:VLz娳^CHAdR0$ ʱ $THJp1 QW]I?s{˭X4@aʹv{޼F:*PZ*Pi{a g@nzPӠ+\A1<ޝ2I\rCpU" /:E E`s.oLj Jhwr[$Bڢ@p`z{W)iO-hcqO*܉Z c\ nR Ni)AX:"NOA358WPa26!+lt-zEj} aW>v }WK}veK/ГUnVˊȾ_~oh`3ﵬjԏŇza/"; wޜGHc~P`I|}sc{HT$`*8,.fwN_vzҙ^vw %(Gd " # EVQfFvg%_V3E4d Kgz\oDp_aIU uoB! + !d?/=!$ Xы 2 ܞY;Oɵx`|bB՞pTK(s RX5JҪ4콕6\*яgP38D(g&~(k  Z+oXo8|cxfgH)Ae̦Ҙ+ReЋ#^10Gk"D̵. ]4Yy4Clf!jr 2LYE *\YDaUCi22I@HUx!0X{\{}៿%)FM5B vlQ8XyvmOO|fռ/W%Pk41'泾]l?Ň~_}:#+^t]y﷼^?l_7Y_d^ANpX,i+=j+bM- <ʯct5Lr,+jT(IPd w0$#)8vc ʒUtO8Fp&# zġZ^&Dh)c ]#aEEHְ4ے0J)iRR%_pT* h ,H3(d$% QZeooU fMX#k_>;ԚN4rR@Y {o/M{w=ˎX}V PDW@Z۰ՍC穪`O%}O&^,i2ʄ0.+r/UO[}hwvfdϿf'2cTTie>xn b _&`( ۥ@t '; TjY@@0HWfNq2 MXO A7Y?h>jެzy̪,,Br]-EGڊօ;*y)XQJ8b 04MK~7mgg{ޚ~%#/Va1cn.90} &rhK3zpio(,@$MxcĪ,`B0fN[E!Ʌ`^pw! %0j=udNĬ?DI /$O < Szka<@D|XaƁˬCUTJ>BY}844l "JҎL(@HA$W_FūTEac%~Oo#Kg"-_{|"U =o$b$GctU~r$28ͥwSgp&D{wJqJHB,Xx#rY 2|1 2dT"Ir )0oeTo)G/Abn$vdd[=pj>ۆgΪο_=[K.>mBI;e{䣏w?|E{+z|83p)Ύ|8' 9u}ou7u ?j_.J{ݏ^ǃ@\,CvHp%9 :-4`%댃Yy4kc}I.!D"EI9 y)Yj2̔$釨&B7lR*<ۻ};v!Xv=(Ԋ(lz]Ua >lh\fPDyy ))d/kҝ =/㙸 qiTW6+m8-SȪ,"U kI>gR ho԰L$p.cH&'0 N%&et{ZX "l@EE?t&G."+b+՟\K=1|2 +2> \LLI$fQ3wPS,'M3 q3%0@k2"UE`-Tkpp^1F̓ONW%,Ƚn2obV/zӬcZK!߃Cl}eUT?Î'/]]#8+ ׇ }n{,F[goy[썯{OSU~mHlQm1E^_S^ *]e*ԴfMVYcϸ xq<4Ȫ2s3ihg~Lޣ9JLa[oN(ߩGͳv`=蟱0G+~X `IQ$}nS덃:Y !pJ@g첁cX +OI|c8j@lD;i tʺFIხ[/WuƳKS\.4TLsN7k[3:ҿ7;JMx sl$zъ*D *;~Qe "ƘL)_ ʵrF H(LrZbIa\6S)ʑ9"D|e=y) ^'G,SWkOՏ7-{*jQI.xݶOt졳]2=?։- MQOetQ㇛z$›w=iOrE<ϢL8UҒU[v؅iFX|익ΎΖ {69%ɮIkWdOnS 0 fF7ti\9״rGbqA|Q")[L?Ze9B+q<pE ù-q-(H(9d- }Giy鶻^J%*Zk83qcUs s_1^(Z/aZ~?RNUʰ߃*S,k$">rxUF~>Wvמ =&"bh J`]I NJQ ǞP=TˡOW_m@ۛF3Ȥ.̫Q- *&f4g0 HQkve LOAbQb|U\w@ϧ) "U s3;Ҍ _NA>mYZ `?}OTBvOݱIaD`6M KY{ڴ-=3o=yՑvmMi#5,5#vŶ=( P= ncvG@BFH"l{svؓ/ymVҁ?vd5G^tXCV Qo8'\8 %'/TO'gQTkoٛ$MiSTf$♬⇟ u (@udw:*mDeў֠ '^=v>iwضͽR zTFg>wrKח쇞*;!iV%w p *V۶g]< zmn/o-}ƮE~^ao?}W큻v׃[m,_xErI'\x2 {Z?C 0Ԇ Ib Nl6L`BE$j)l+%ED8՚` "@@)8$E#%CFj綄j^2.=:vԏ׼>_ i@(I:`٧ k svJ]%>WzX!5pQd3Š:T*شF%Y0Ъ+ufHHR9Z6Dk٢LU (=I1{ P'<e|K0D Vџ򠃐dAav /)䲾yV\RL*zD4ДCs4TR1D[*m$+cAbWS6Sq %澒 ';]$  SqB19љs]m=PNEo$(X= ̞ܧMW?Z경wگU8DH[ƶec^*A˶Z{i<2nσYkAao h =~.f۷fwVmg7;i&LD7tcl $S]^r%'D}1X(ēοAKyĴ3vYv2za3POwgq |zL: g/ڙOH fkI@ BJ×?QfcS!@YStC9f2Nr8 Vej Q0XH)Ipam6 =sZA/$aQK" T:|O֍1Q+b6tz&O  Eг񤠉dlc;]S.U&Vև!oAi8f_XO.A^p_ A 'Z|VLe{q iW5KkXvRD0Qbl?uh962`YoeA^^[Dlٽ'{c! 2iKvX*,p͎PHga>B1͊|~ c#G%akDžvi}:ro:PUN/޶6a=LCmwOߦo9%WM0ޗ?p 1}EM;=Z8- xU9gr^8vᱸ̥D:/Jyep$D@"10ssX'eB(\wPMc ?C >[zsW5xBY˙yo_AsݝV.tU#sCP\Nd&K: AsVefw b^%𒂫x(Q$(F3ɀ͔EG%pʹT^6 s鷧NQXDȥ3U [ |rAW0N|k3Xτ9Jdh**2%l>ꐗ+(sZ]m)k$yp7,f!g G_h\\n{d&YpAXI}קE\l/ 4(i1Qf3?ciTfGQJY>~,XDRZQבĈ_Kk_T\*b> XL;H &a@Z[4%7c°jF|POh{84<V7^.x#.ذf&G<Hk9(P[+e_OZKLZNM֕>ۼq?x;z[9b?^V[_K% =!v}HZ^<^׿x1.$+IA2`eIb1{TI,&޲,}^{|*I%@ Ȕ0%@34`CDZQTEQQ@[Tz[Qv ""2iRI:ÞǵޝV*&U3Qg ʎu=Ł%(ߵ[KmQpaǽ̮|eB/baУiCс5F k &`6鉵dSMb9[4}}K88\B| 4BCδZ7ӊmKϠLʹ+3j!tK"dg 3a BՂL|a/^x?R^z"=7 ]"]\#!ع~&]~Q]Hᗼ2!a^_l^Q+l+2??n'nqe7y0h@(<!pS9ܳaP e%TlX,s ^")lYi:뗌rX}TјM\՟F@Ehb]?p"?:{8I` LFM[9dVDb{f]/ox P ` "q<9Y®&Yt̙`x,, HbNq?Ws`]H= ` +s=zҖ=-{e+7>Ξcx쪓FsطKv׿`_gv쑭: i6K|s6#{=ǡ9f_gm'1o9~{^x-0w>!_zR*RETy4")kc"I@y)֋ŪH dceH9^ntyV< 9=Ndp la4{oсw9fAejVOz^BL iЫ%}}^JEtȑ (˲爼b`˷i&G]m" .躅,_J^J1(s^!".l."VC\l Xfr =lcY L]r.VVnPɒ`&u& FAZҸPX$(K|k8#E-pEr :PJjDv䅰Q!+v/*RA>_R!HIyK0`ԟx`tilϝB x 5M@v?Ix>U7NڶrPݾZ@mmr#lYfWloߣ=?o?>nc+JuhU vw~ꇟcw9.\ر6[~׼So0bJŃp 3 X ϵg~]i4zvI LA'DZ] ֛/ |xеxߝ㗿jF sM%`'=lqm}إ5v7I.;q՟}#/ ~3H2i8N7@ pXu{گ2q%ObŒ2/zS<5{îU;BνlKȁcE@'pP C6 G ]7_ CcZg:C#w|@$ j#y*L]r}6.+ĉ;EUgY\"'"pd$Qͼq1ڊ<0XpcJM@"bWò,I܉X{k̕SYu%svxq xbB}~Kj9U8 =S\*!:L)VՊ gDQz=rfТ!^^^?Ds;틶cdk{0TT(lP6;Ue"_:yJ{^@ؗ_o0޿T/]%g|a@diI8dW-%CuVO" / ɠǂ 3!+sM6W߽X N4(be0k2* NsVmbȯQh&LĄG̼% $zvzrXxUI"kl7J:YT;J{3YVy< `.$bKF*hAe9:(a1Pk1PgKv\O?zKn semMvӵktZ 6JZ諏H &"56Wmmㄭluc֎S,Ʊ/\ ;w g;{|}_fWȒ>__ns6}>四~?j `h%;9ē^f!I0@\[|׶Q+y4! ~gBP%`_jp-} SzY,@Yr@:JdNcJpQLU["QfmbǗ*i{h^֫8~`s&cȨbEJsz2DB~8ihj(s⥄S0_=HsݳBb5 _b3log`=Ե#󦊒x s K7[9N('M8ٶkN]a/y L}Dq묯bm{%|u:bU_`Ň`;Je՟|=YwXΚP!$٩g.`p4'\7{˫l>USzk|0~Y,*mbKcD&1 Fj;=Jh!daw. z}DfL=b"7Ap^wx&z) O:GG}Üц<NC^2id/KP(el!)z@ǑLJja(sQ |`i`yj$}<,^[ fiUT%B3d9.=&l+R-X*ϋ鄟W(2a# sUzR $TLLEXG {0WQKsNT`()iG'qIK&/H((l!<h! E8 af$Xj r9dJeМDe(mxƫUåѫ~wd8{ӳ|<j@Y3 ݺy='jMdƥ+oV\mXY*[mO`k\uO.jY^%p΅toGYv UԆ=oǾ}g񳯵kp> 7 zî㚍2hj~9vR/8&{Pc/iKw bKxždn΀%1Nf4T_z=wRf>Hh"#3T$'3xC`68ܷvylfݞ4!PZ1TM|6heBΡoJP^oSԊai&*C4!B^ `tzP ^b>Ҁ B~S@>@Cvw9vgK^ jE@n 'Q!s1@߀?Q M> upL$f+< quzrZZe.&|+I>F-=7.Ndwf1߬(M a_={v\lO6#-qjJ+o{?(+z}oWV%@eՎm&vkTo/ǁlv~׺;lw!&a_TwЎm Bkhr={swcATRTO9{}9zxx. 9R5$1W^ HV*h~.7ZEN9 ]z6*Zps%hۆ\Ӛ{hG6m`k5eaL~%K~<"2 Lǡ֮7ڪ4tKLN_6&KLh\-N2jBN+E-V-!!Fc]a'+iUNH3_k8P?ӳUk.T/[R=5<(|XéuFoU+%sHƧْ/Ȋ*, 0Qs 1C`a PCLhB%3DnD^xI] "*q #$$-Ԧ"RsJ!QX@*1 Dc_K²Lc๾0%2Is2++Mۮ53>dUMO7~kr]Sagϖ۞b.S(yuY_ڊ;f6X~2>Lu v{z^A6s=:w`%L~I3<&\>w&Y pdw~{Pۥ<<V TZ}vງ] v? Mƕ< Y{G*:MQEwܸg=RݾZ5DVk-?~N{~ 50LQxQ/ N)jj v"4uVbE^hǔ,+A l$RJi@bBPZWQöBat{!ep4*$^^GN%_̓ޖX|0-HN8aTgk \VRV; xk `DPUC,Аz :RB1L-\œ!=*jR P}}CZӌKNՒ֗j{ œށ};}F bA!ȉ5f͵m 7-t<DRaێ]wA?~'զml m'7)+ v. vȆ{n7՚𞲇9k)7?˒GnΟ=g{~ډmO./**T6/Y*G9#@+8_Y߾X}!dgsf0<ڱ_ԚgYAcp`AMY".6Zy(8om:"a&xz~'E9x1ym.ɔJ"ktnxA^°V dI =@Ԃ ,8#nR\r hR\bǜ ^T+REF܁əKɐ/4g˂F' -G 0bU1 S*zXC0͗h&I/4k<0SA.j4'& .)+.D3([z8дlXj=,weÈB( >2pѮAmW5*zgĶm*T2={:3}" & 5R9@Ӱ+/~Ւu6wnُmvKVs]ݰ\r? P.Hךvo˽ 8n yVzPOP;>lݷ pvmkKz E-'-?bOO~{^(=<> ,:B ޑ'heQvcFI4 V%1zL|2԰/sRT/gBW5_\hv0r TuU%Rhn zjÎ.yд2^>Azy?T z,ah5( WU%tH`+Z,ĝG*.b~90(Y'l➇`Qm$o DyIh6Ď-:/7y]@pdE:-g"If{ 4 AMR`~If>_d_?=Ǟ7x_O'CP:ϛ+4*)at¨S+8"<~6 &5m4g 6qZMC`=b8[BCb]@d]y[yA"̳vLi]ƴx&T#/j5 hJnf!K+U/~_Fz2[\lee/THʽHILk#غ+ӵ;- ]Ι D:*xeSԳ+^ ^K.>QW9vU"88d?i5Q`-y(6l-*Vz.d Psr!lUQ[Մvʁ: &,ʒ4x25$pYY5Zpr}ydEյ] 70X ͮZDI7sm,la,(u!T/@_DļEm7{O9|*,gE!0*¬*#!*ՀJ_rgzntIX*b<+^E_ifzhW ++ T}4<::_ޑ{l *Kl@`PZ+}G3۾*G~])g?\س#m68 6&aMAO\~Wɍ*nVXd;jz۲ 6{/ߣhfǾ컭IW?c㟷|w'_'YEbJxPhjkEH#r-4KffnFZ-1D*꺄~_+Sui3J%hV{Z%MDa{)723zTnA#}+b?Δ͠N#9ǜJ)h$9ZRƱPe'2-Au)x0 r*ʩ,'ڬgJ|I_d:5U3cMS1*Sģ|Ζ2VTsp p1̦*:VǟYizΤ1e1u"T$)p8H[6"$_Э"lDR 'qVE[Dn?w2RK#$ 2hkVl08$E "dKT[CJ5 ߈(,o/Oa^#{CwsCօ`Vӎ5Ρ>ug֞o% k3@؆gΎZVZ}-!%B; =V8:|`~=Sj3€aW#GW?ﳍ%Onʁ@)$ly]pVKK/G")XfN#{Ú_bdmuC֟3=I:$ee3/04dE #׷vpYAp&5y!C\D0 TN+BYx/Z-AǖdyfD-^7*/UOFU@Y@LƬܦ1G9 x <˖"$KoV@Dk;XL.X%%~^EsU0T*e /V#qءYOzz`=k?s$۰Ň#Ken?gSp%yR g ٔ_$ȦA`p~8{rpaQԀK/MP +zy{~N=.ً5{_ϫK.5Ik<z0?"*iJ@陱t``4xcfúiJȼEypAݳdjͦ 0!4; Xc7/o0Ō)ga+2OX:q)&CMk ?ǰ\ 0#?G;ve`i.q6djɵ7u /U^iw?vjR@dA/Ghq{OۗŶ/vc?W^e]w]}kQWOUҴN%3}ӯwlk!W_n'oK'|%](@^9U !fnj@$z?#oC3;}nΜ`0;e4lvծj¼/Yٓ2ܴюԈִ+V -k"נ*`̓£6% @;8ص/~2 ]Қvdzo;a?ll;ΆvӋmqMvbJVC;ShӺpG{2I&9 \ʆ d:]L?;=B1+Nz-ƃþtk?5M$ޑeedz`3ҮX:ԯ&υH*UrPy_V_Xv![*fK?竺qQPwҨO.$T - T 1/be{iBeU$؋x-$]7x۵'44as/UKWEՎ_mzvw2oM.:R*ڛl=?3֐ꘄloةkm[츭m upxΜ.=c{wܒ_xM \|U`Muش|}5?f^w}k<2B)Qro{i2-ijJ0 bW K<ϴ@C{ʫs ՖgUɫ?+7vuecw 8:6;0:g.MF\%jR]R-fxUT3H{)/dÞL t0B @X!f]+ .a( ز-7P%QzgAU;D<p[t0vG$,GgDz2U :/(Ap4S(%~$1|[ %*1$TxWDX* M`K}ۙ|ɖ9dj7Ȋ"CŇDձ!gQ`EW׫_ ^=@_KDA{5?Z !fsҡ=pxH.k>&Rh5[mXHz3O'o[N?NUsa=暛{J'`b=5 y⸭ln+\ԑpdڷzݱ|p`{<\f?sHCNwt3uo|cn͍Z4V;<71*wON{iG 1*EJ6,dPfڒOhφGb#$v aEB:V1μPz@h7=p$:Qh2R  o4fC V\:3gtzب6wdK@ypT\$`'SK(LSeIЎ՝8<6$%$K< R ^ˬɮR~XHV^"'s%kWpUʖV]D1f~iiR)"εOC f!}1h 1)B{0)e<"8Y#B,3ow"T YT QWKI+JjPf~e:_%xA3x,p2Ѕ/Пkb֗<>*H NA2S `+zҬ֯/"`ZA=zma3sv%]pЗ !ZeiAl[-;ZHn㏰7<Ϋ=zO gCA%-̮E6L_"2W7WtdRF}E3x=W絹]h?f|͸ *W O=е ~Ate.lùV`]F  ~= /'CRNlovB7꽾xWW^fKA{}ٍϽD&PC1{V/j +' @³`*("i`DJ{ Er*VP Z:ݾQ㠤zS%]۶TahA7@Pb?lʀ d®_s <.HyDp˘Hp3l)K ]BhJ7h/'L -oV<yp.f*_i)x/> bO’ '(m\~DZ qYuJnWɫ.3@l~BVbռm-3- ,ra!ޝT\Q5@Vu)]C%DFGޚ>g9~j7#W ymZ wѫo}=yoџz]G[(dKag[UwQ`pj6ڶ榭nY+fCHDhh?[cG{~U??̫tBd=(W7kߴj]oC'Oyʍ9r K$f% -V?mXxKTuK"԰?)9>D,,0映ϧ-Kūuy0ZQBN d ̸Qx7!6pQL:0XYۙ켋h"46BfE8 0&Ud4DFTs>'lq.aN)ePIF6-b].y5=T&N/sU0#:;fK hFP Yw`)e&1]EU k;<B1vA+? m*hF2".q"4 \`<]AT˩8d %CbUt ٳB .XLd@M󶯄ӕ|03?^Ѫm vIz}=o["]MYm؛_pU/|e/msn|} g! ׅhYض[^y, T*w*|vZpi!IJքE,>g~'n ߅erPk-Pbu/LP[Uw<#- &EvI[d˵gve eJ"p%/W'xCg݄ƱUMKT|Ep\xu/)Wj4|z5\})Q lVЃc12;t>VGbQ"")9)HcU5J*B9$yYGJah>0,˖#\UFyOu\!< S0*Le0ŝzf*Sm$/,[ =./df!ZH}PcP<&K1 S}Zk`!Pv.q!-*f0 az쬸L كՄhQVDLe1a~w}}lQgEB 9Y_ڴ*Gv{,/ۯJ~ BEC<-O[Voi P3Z_Yǽܟi/S3 l`³ؿp?}]şx}SoyA`;W]rnV] Zg*>2ÖGîGcav)dGՖ/J2Ӆ2Jno3m#"_^ :+"]ܵM„u`qL=hb/ T&yWVGnG uOUY0Y`Ω@Ǖ &[RL9PM"x0/`gs2&A fe& 0ݳȄY8~Dk…nj}jK† <#*._|Ol`Ukh*LD(LM6e c ZYQ,`?W$ub,/XzK=$| iY DœC]汵j*OU4I$?VRKY&kn!d' hHUgXAGS.6^TZ[^}z5 T'АNUWX9XP+撈zP_X*2\,93z¡}[/g0(vZ/oh]SI?u/z򥯳%{O>QFzD?[_G,:Vx$cӲm{J`X(KmU 6/?L,GѰOl w!EFk+nə0/qeFtLcL':8dv 3J2fKjS'"kFA{#`KnCQAp黚+/Vd`z܂Zj 6~FTOطsXdmcD<g&~f%$2@E5h̶. t4}3 (z}VџC?*UnP#P{iQt-l0:sdqK%d BC:rxR,.b@T#PԞ>J\Xܝ%yP\5ԤmC8_Z~C] x@Tf|b J6F~EX'^vwl`05 ce_/ EA^7-z= n׫Y0PYUAޮ56%6?ǞMO~}o :?*$x^RSrwRe[r k5;^%W#zրO ldd4lQ4pSm}ԪԔ)Wd.'$ʦx}qO{vѕJDLdzzM_ p{"5 Sz؅2,U8KK(*sN (xeW,W^"9sDhN¨(5jeI 4QpU)VkQ S2n@j#VL0]z-nB猬xFeRa&Ti"IO-IJ48LCҕ5FagQM'#˪'hC[f69)J)YC))+~BP M’XT1g`!< 6Fa֡Ԋ E OP,6<"/ӱ(eT)16$Au:@6Ug{tݮt擙 ό}qݴ+7qjګ_B{Si?WIwҫy} ٘ iLT msxNhnVM$,쫛۶zuNLW<勵8 };;mWm֩֎f30 Oj.[nȹJ)nHZP|v{%N]e\S5;;D=Tsi PїCuBX\捕;QVo~$Ϡx Ȓ 8+ -ꬵ, !w{~<$GMմV-ho`0 0HxJ\gV>A(4tb}y!wuP pi}-{_yx%>$>"aa %, 2 /"4XJB^}i>Ґ4+-),{K.\0&"@zBo1s!.ɼ'$cpK5ąFZ?5ҙ.R1s9 1K:d ?YSU?szdDQ1א7;+vbOݞͷ}_q[x6J -NC(&}eЀj񊐤SCʓ^R!{KZh\~\$JE :]Ao9le\dLNF-)S| j spji'](kRUr=bvtA$2nJ(,.;)}{=|ֲAYs-$hpUXR=Haw|,Hτ7Ck6Ҍ"+EtVMcH7ہ8LB@­LԠ&K-yyM*m9| ;Ķ"{L?L9"C*,|A5ly Š(#~9sA-b˳(DŀR WO\UH?Y2\)Pv.so\DеT i j[}^e]Mvo|/Q~6쵯{影M&%|)=ob상s[ll[fF8 1#a,Iz:L2:O}.^ɕwӨ{Ƽϰ}K$y]2B 2vAkeCn亼 tӱmn갂d' =#2yņ~W& otGG6G$; zVJcDCvD;x 7c7eIi.፵mIXke!]uԛX)/4` /vxnxo{"s/Xf%s?<#u{Ж\mΕ$9a-Bkr Xz|YwRpWՏ[hП\DQ%Pd.ȹ\L LX"89bho9hZ9EX?%&@߹q"'HǎE ?s<(㳥Ľ_j)@C\cL]żKna(k~wkآ r:= `ņފ\-{^cǯUG?6n~TIkV0`aHH%_ FP0 U+ju.St{ qD-!^}q-ruKZvk{|̷|PB^ғIENDB`(0` %/FG.HI0EJ3KR3KQ1JP2LS2KT2LT5QY9U\6T`0M^2Pc1La.H^0Jb0I^1H[2HZ2EU2ET3ET3K]4Zv4^4]3`0].X}1Jf5Ka9K^;KYE\mQq6La%3H]dߜ{011qh[h]SRZ]X^hKKJ-HJ.IN/EI0IP1IO1JP1JR3LU3MU5QY6SY4Q\1O`0Ma0J^.G\/Je0Jb2H[2GW2DT3ET3ET2J\4Zu4Zy2Xz2\/\.Uz.Hc3EY5I]8GTBVfLl:Si&+>SQkzb|993}l|qamSSS-CD.EH.DF/GM/FM1IO1KS2LU2MU4OW5QY4P[1N_/L`.G]/FY0I_0Jb1H]2EU2CR3DQ2DR4L_7\x2Wt1Tp/Uv.W|,Qu,D^/=N1CU4DQ>P]Jg|>Xm'#2FJ_nSixJG@ve^Rs[hp+=>.AC0FH/GK.GM0IO1KQ2LS2LS4OX5PY4O[/K].J_-G`.E[0G\0H]1G]2EU2CP2CO2CP4Mb6Xr2Qk/Mf.Nj,Qr*Mo(>X+5C-;I0BR:KXGcvA]r!+ *:RiuJYcRNEvm_UPGzi~*<=+?@/EG,CH,DK-GM/KQ1KQ3LR3NV3NW0JW-HZ-G^,Gb-E\.FZ/G[0GY2EU1DP1AN0BO3J]3Nc0J`-F[+E\*He'Gh%8O'/<(2<,=M6HXC]oA_t%/#0Umw;@CgbT|e`Vy*<=*>?,BD)@E)CJ*EK.IO0JO2KP2KS1KS,DQ,FV+EZ+F`,E],FZ/GZ1FV2ES1CO0BN1BO1CR1EU/BS-@Q+>Q(@W%B_#6K$,7$-5)6B4FU@ZkDbx)5&Unz=>=zjwTVPv(:<(>>(@A'=A'>D(AF,GL-HN0JO0IP/HP+CQ+CR,EW*E]+D\-E[/GX1ET1DS0CS3Ld4Oi1DU/>K.?'>?'=A'=@)AG+HM-GL.GM.GL+EM)BP*BS+DV*C\*C`-DZ0FW1FW3Lc5Ur=h;i3Qk/?N-9B,7A*5B(7G%8L"0B"*5&/9)3;2BO?YjGk"3D!'Hg}d;;5}{]c]^pv%99(==(>?)AE*CF*FJ+GM+FK-GL,FK*AJ)@O*CT*CV)AV)AZ,CY1EW4Qj:`=iFxF~;d1FY.:E+5>)4>'3A%5F$0@&0<+7D.;G5FT?ZnKs%7G )>]uNiwPND|}xg[edp{{$;:&>='?A(@C*GK*HL.KQ.IN/IN+DJ)@I)?L)AQ(@S(>P)?R,BV0G[8^@nBtG{JAr4Pi.;I)5='2:&1>&4C&3B+8F0?N4DR9M\D^rFg *4'5PiCWclmc|zijgWQVT)EC(B@(EF%?C)CE,GL/QW0LP2KO-FJ)>H*?K(>O'=R&=P(>P,AS1Ja:e@qD{Cw?p@q5Wu,>P(4?&09&1<'4B)6E.;J3BQ5FUnAv6\7[{3Vv+AZ(4B'0<&0<(3B*6E.;I3AO2?JK`p#,3$% )&2B).1ONDutc]\Qfhaº9aX3OG3_`+S[+NT0NQ1U[2PR4LM4MN,FN-DQ,AU)=W(&/=(1A*5C/:H5@M/7>8FN # ##*05>G19?,.-KLDwtcZVKdbWytCpe@i_>op/[a-PW2QT2X]3QS4LK;TR3MT1IT.DT+?S)O1Tx9g8k8r4h0W-Px*Hi)Df&9T&0B'/>)0@,4C2;I9CN;DO'/5$-5:ISCIPCFI021**(HE={vgMJB\YNolr-3E25KLzLzoHvr7fj3UY5QR5]^6WW4KJ>YW5RZ2MY.FX*AX)=Q)8F)?T1\9o8r?=|0[)Dg)Gk*Io)@`'3I)1C,2B06F7=J\cGNOAUPMDCF"$42mL|qY|O~x@uu:]]8TU8YW:VS6MJA^[6V]5T`.G[(>W&:R&5C'?X0c;t9v?=w/Sy-Ko*De-Ow-Hm*8R-4H.4D38F7I+?UXn9HR046HIIDFC9:5??9a_WIL=hdSXSV>@F(-:>$A`1k?}>|8s/Y+A`0Kn0Mr0Mu1Ox,=Z-5G-3A05B29C08C7ES9L]#-69;>HGF>=8,-)451qnbIICgbSTNF !D83^Spbd`dM{x7[Z5SP=VP?[UHrk8\`/P[)CR$7H"2A!.:%Jo6u?@4o7n,Gi-A_4V~1Ow0Pw*=\'/@',8(.6+19-8E:IY*Ui2 -(`,*:Y|qein_@ec?^XHg]MlcR{r>bb,LV%9J"1@,6+8'T7zBB7xC.Y'9S1Tz1Y,Ls&:X!)8 &-!&,%,5->O>L].AU3DYKLO[Z[KJH31-992EC<==:,0*;Z &0 2/EE9\{fjsmTyXxY}nSwkVuEjh&CN/C,='2.>)^8zED;}F4n%Fh-S}1d(Lu"7V%5 &!&+8F@UmM_tBUc:\xQZc__`xxuTRM-.+341664575:P'=G@`N*dbhstchc}WtWuHoj#:E)@'=%/2E-i:~GGAG:u+X0`3m&P~ 4V$4# &_jxxbxizV}dhqvoqngic>A@CFFmmg`fNd&qVͦ$ʩ6i`bhnhieSzT|sFmh%;E)A'=&0 6M3sCJJEH:w,\3h3n&V6[#5#">HimwhuuijdFE@>8.oxV@ײ%11)icgfccmdX|V~sDid(@G-@-C!,5(@V?yUZQEF:x.`5j6o*^_\)AI$5F'7I.9B8K\MxYYNFF:w3f7r5u-g!Ft)C&#*2?Piŷlo{qlbi`StM/8ì\4/#lgrlfhicb]u>\\0KS.CS3DU@KRP]hdgZ~JuJKF~BpTYYIF9nrqmmllee\;^`-JT.DP2CT@ISS[admrm|cVvW\L8e:}M]O{9Ss7@P8@GXix¸{έ3޹99Ն!T"eSfQEeTHidRlprqomhlj]<`c+IS)G>LWH[hPi{Mh}IauQzYG|1[6sCP@y6Y~)9J&,DS`dw~^ʲO^޸:OՊKyX~if<&%$krpsnnlph[9ci,MX'7@'18,5<4GX9Wn=`}Ah>Xm@eJ=q-Ss3i3jjn0P[&2=&/7)161K`:i7_8`6_0Y|<}3h)Kl4m7t4e=p:i*CY#+0&05'@[eˤzRZFjc1ٺD~fotjelpnkgJrt5PX)2?)2=,374SjCx@u5`-Pm.^9.g$B^+W1b3Zs;e6i&B\ *0")-+=L|ҬȢSdS8B6.H59CH_rksnimojcimnmoSwv9QY,5C,5?/7?8[wI}L@wphPZjJY`9Ѵ:\Y?'-:@Vg`jeQYU^fcikjedgilsrUzz=Xa/:K/6D09E7\G}PGFMMF3Vt1Oj6^1I\.]h0>Q09I0:I7^G}SOMPNI2b,Ml/Rp0Mb,;C&8F%=S"-6!).%'&('63Zr\?S/AC&-;8I\~foiQZUiihdebckqs[?bn0BV/:J1K<_I{WSVWUTI=~@zThsnikieldeitumOs|:Xk1AV4@O;[yMzZWYXX[VOKA~7n/Zy)AT&1:$,3 (/(.+<:1F@G\JmƇ@]Z(1:/]TAjfI~>jl*7=,6Hvfholie`broj^Mrv0GX.?P5ZvBzS_^Z[ZUK>{5o.a)Qu%>W"/>!,; *6"/83QR8YWCh`KvuT?jp*8=+7Hkfhife`abmpm_T|{0GV,=P2Vv?wQ[\YZXSJ<|1k*Y%Gf$8O".>"-< +8%4><[^?fdNvpYcIt{-1j(Tz%A_$5K#0B$/?"-<,>KIkkLst\jsU2EL*6K\|[zdaaa\`biopla;_m';O,Op}/c(Ko&;WvCGnsQ\|x[}z\~{_]a`aejpqo_4Rg*Db0]?yV^^][SJ=w-Z)Gk':V'5L&4J'6K'8LMnxijifeQ|9QW'.>=Vuq}vYzw[|ya~z_~]}^_``eottg>\p(?[3X:nHW\[WOE8m-P}(?a(7Q'4M'4K'5M*;OSv~iigd`Qx;QY&,;8NoEkGUQz`H/7:)26( @ /GJ.FJ2JQ1JP2KS3LU5QY6T]1Na1La.H`0Ja1H[2EV3ET3J[4Zx4\~2^.X~1Jd8J^P*:Km߂JIDsi\erzVX\-EH.EH/GM1IO1LT3MU4PX4P[0N_/I^/G\0Jb2G[2DS3DR4J\5Yv1Vt0W{-Sx-C[2CU7HUGbu1EV!-@/DF.FK/HN1KR2LS4OW3NZ.J]-G`.E[0H\1GZ2DQ2BO3I[5Sl/Le-Mi*Lm(:P,7E1CRB[l5K]%1ph~e_SjeZx*==,AC*BG+EK/JP2KP2LT.HS,FX+F_,E\/GZ1FV1DP1BO1DS1GW-BT*@V&B_$4G&.8-Vf7Pb *r_gmzipoe|(<<(?@'=A(AF,GM/IN/IO+DP+DT*D[+D]/FX1EU2H[6Uq3Lb/>K-:F)8H&;Q"0A$,6+7@=Td:Vk"+g}V_b~nhiap&:;(>?(@D*DH+GM-FL,EK)AN*CT)BX*B[0EX4Qk;bCv)3?._v&0Ih}OUSwgjcv%=<'@A(BE+GK.KQ/IN+CJ)?K(@Q'>Q)@S/G\;cBtF{Bu2Ld*6A'1;&3A(5D0>M5FU?Vi6Lb",4K`[^Ym]^V-LH*HH)GK-IM0QW2LO/FK*@L)>T&O0Ja;g?p>o9a1Qn(7G&0<'2@+7F1?M9IU2@L"0",&2@JJC{wgfe\:^T5^],T[/OS2SY4NN3LO-FQ,AU)F%.3'.45]_KQNG@@C*+KQ|qSzBrp8YY8XU9QN=[\4S^-EZ&:R%6G.[;v<|5d-Kn,Hm.Kq+8R.4E38E5DDA783WUMTUF]XR.0654eX{n`Y~O=M^4H^PRVYXV;95==76747I'07/XH$cgsecXsS{r-KR+@&4"@]6xFBC-\0b*V1N((.8ar_rTsaworpVWS<>=YZRWk2sA$ebihiZ~Qyp/JO*A(6(KjCNGC0e4j+^3T(#)7evg}^_ZIB4|B&,H<eggci^Rxn.IN#4F)5B:VpUWIC4j6p/hKUZjym\NNDu<|9y.S$.B)3JjxuP(۸>rR=:5-,(nrmkjcT}u2PW1ES>IU[dko~cW~X@o?RGn5CWCM[Ʃ=2Ɔ-`KeSJ^ZKmrpnkjS/OX):E0:D?O\JcwIdzKnQ6b7sG@s1F])3;t·ĕYǪPҬRdwhEA9lqnnokT1T]&3=)294Qi9a:a6]=z-Ux4l6k?q1Nh'058K]jftrC«Rjqiioka;X_*4A,5=:_{Dy7c3c9{)Pn.Y}2Ul8b*Nk!*0(4J%;M"-5&) *+H]NsN0?C6DV]fakigfdonKqy2EX2>M>eRTVTJP$.5 '+!+-3E>ec4JM1?Pp~|kkhgfqsW~9Th4BS@dWZYYYOD7k,I`&1:!*1#/30E@`qQ}?US/;Lnpljkrn]Ads4EV@dZb]]^PD;q-Ok%1>"+6$282MI=[PU~v6UX-9Jjonieok_Dfq0DU;cTa^]ZJX"/>!+9+>F=aaMvq[@ch,8Hb}db`bipmRx|,AU2[~I[ZZUI5p'Nr$8P#1B#/?7OYOvwbpMsz,:K{\|_~`\]eoo]/L`0W{H^^[YJ5p'Jm%7P$4G$4FCbl_joOv~-:H\[~y\|^__emrh9Yl,NqB}]_]XH2h(Fh&7O%4I'8LPqzhjfKs{,8FCg\iZ|x]}z^~^`birnFeu+Hi9kQ[[RC1[)@`(5N&4K*;PVyjfbLpx,8EB]}]ysphEW^(  @/FI0IN2LT4QZ0L^0I^2EX3HY3Xt.Uy1F\>Te0BQjhhaq+@B,EJ1KQ1LV-G\.F\1EU2FV0I_*F`(7H7K[/@Ngyppg~(=>)AE-GM,EO*CV-EZ5Rj9\z.>M'7G&2?5HW0DTWemtti*ED*GK/KP,CL(?R-F[l.CX'2?-:H6GU&2ACKNsqe=hc2W[4RS3LS+@S-G`8k3]*Ca)3D2;H3>H5;@@B=_]SVZiVxEmjO+Mn;w1W.Jo+6K08D6DR@BBFF?PQD11BdbSyo>`a0@,YA5h-T -A6AOMas[eiGHCLT8j`.ehb@a`$4D?jM>c{aCX]jhhf=[hEu\YA+Qq"/>2LNKuu=Waa`dlDeq>q[X?~&Db%5FIjqfC_k\~z]bmSr|8dYX\*;PZ|e@ZfUzo&&&&&&&&&&&&&&&&PyMca5-5.2.2/icons/PyMca.icns0000644000276300001750001525336513136054446015757 0ustar solebliss00000000000000icns5VTOC hic08l6ic10.kic13l6ic09aic12/0ic07qil32 l8mkic11is32s8mkic14aic08l6PNG  IHDR\rf$iCCPICC Profile8UoT>oR? XGůUS[IJ*$:7鶪O{7@Hkk?<kktq݋m6nƶد-mR;`zv x#=\% oYRڱ#&?>ҹЪn_;j;$}*}+(}'}/LtY"$].9｟%{_a݊]hk5'SN{<_ t jM{-4%TńtY۟R6#v\喊x:'HO3^&0::m,L%3:qVE t]~Iv6Wٯ) |ʸ2]G4(6w‹$"AEv m[D;Vh[}چN|3HS:KtxU'D;77;_"e?Yqxl+ pHYs  @IDATx> jA PEL2=i/cq{y۵?aZNɴ|XO|i6_Linًiyt4mwMgGaf6Oaftlt<-NfǮ{rt2Ml-~?M\gttz4~Za晇q}Gbt89tX{4=~t|v5m>\fi,ic GGn:xQsn}ylo56q؛4ϟa:ZM~qq4lޤ^Z[W/Ջxtf>],hYa|4=hO '3_fa8hVkZ|>u;TiZ(uzoNc5N/~:y5-ONώKL1R2ٸlhsڞ嚜gzGnfiEG=O䑼ێߑɇG4!󛱆ô/qp^ezAֈyr:?O?tOv76w'4dqtOa4_N-sK)t{4EtOidV"~Iy`@(<ʗϗ fFw;?b9߮|+1V|?Äqzbʙ'E|v\ݷZfZv5[ #% 14Ng烨i{sc8$ݴ{cyaZ"vZS)4)Cl{azj_樂׮ \CSv#Ȇ34m%7Gρ!|A90`,&D7 aaM#n-vOPX" %?v`SޅiEIbFS)Diگ<%._g ) i:+ 9Z[@ A=!)Atwi@`g:L҂@gӂaL>B`s}Ҵ%l8<'9E__8}?_Oo7_N0/.Gt8yzV3 -^! rzc8?nn>O7X?xzGGָWW鈰xh`19?ޞ# AXC ƺ^#?YȲg?jO|DBn3 XZ׹~뾀}L =C{7f?e><+<9:쌱NG3cu|ra\Φ)8C|~zk{wSrk94f>I*e6=\[W@Ҁ'QWËZ9zF:Ew5]Ϧ~|57C˛,FS\XnYc7Ǎ[Xa@9ac,Ą; AٝEN|1 A(ԜKI2OY)OʵG5̵ dLpR:,-H˓Nө_{Hk8^}vZx bV8~x7 ׬ᘇrȢ#qJHF/aR3izyuBi?d~/9>;Dy\闞0/Q7((Khzz="+* 8,(+xuq1]Q^זh1g/N('hyF3!G!ԑeRq P ay+] ܓ "wyf [~O ^,7ufx0P`( 1ˀlM p:<5zm%e8-X߸V,9CJ$Sj+ S:Q;b.G\]5⯃&gC0 30}= ~Hƙ禵hmнq#>>Vo=ۚ(`+t/nqm0,gW0w{`Nl 2c0OQOX@θ{t٢ǃr~b~ӗ_ ?Kbu_੬bqg/ 0wRK;k~u[ !Y *ͺ]M?0|k2-/,(Ŝ^,]y1_F@Нu8pEьLQާ,d2H8 JLJ߾zF2'<3缃~qsO}X#X WYhx,ǒ7qG֜< Ŗܣ〡1O✧ ]=8`ϼ`ƣj9L c|/CRNrl;r5[C߀?Wӗg?ǟAzs+He<< ޅEY3V,(d¸Ijȭ39E |i,k`<(Ql_0LnL[J&? ABBm/=b:p"y+k΄/A{Dԏ7mp1nytE k5˘e UHrvyDH#XM8-zB?F<a$Rs|=kkM8@g;XPx ~2xpO`8y}G(%KJl&[sӳY4N3Zx/}Ě,[.hus2c($<oy!B [Lt&O֌,4rib$ ݛ40ywr eљs{GhxtYTyGCq9+[BŲk_\("@") 2,Wl "+(|Z- >7\ !rW}aPDbqtɹ JHO`Ybgm̈́:w Bkqͽ`)K2 r%5*M_/z%Dt-<?~BۋkYV>?\wg)ЈG`|+O%`Yp?} h%3nn9%(;XH2ƒ( rqe*>?mpOce~+CpbeSPa5}AsGc^ŧs+TaiYR$鶖Q=.yr,VnυV}}ffraD"G=綒C[KKkMz)?J.Fcc /^^o1}9C{bywgwL_ㅤd' bEć&1=($T RM$&G ,=J n-+Xx`MsI<1I%,2#dۓe㚯K`r^C!HaO|*+>̋_s+)r6@=|)zl)(/XԴ1@!@oݵAN$!H)G پg+weW')~ :$Cepiߐ9U?+# yVųr)v̳(XQ2|=?(l=y=CYµ۠y +_^>>Kom_?O^|S aX^0nqIO5p~,y *269YxJjˢڒ\D(藔Xgt7+U(XǼGD헧p |'pk h2%/T~6BK>W/„*K"Ⱥ ; MY~Ja6d=P ;^S$2d@==FS<[YfΠgVtjesߣIs*ˁ|$|;.ZoW\)^<)NvJt8/YO'bkfJ\.!ghms2X /0QFߘˉ^xCI3n&cF/^ՆEa*Omv+^ib Dj!lâW,/CAbV_`:4&>3b@c,X&:2s HȇyD[2DVk lt)g4 Tx"[u7D)c]?GbK)oK:{5[UI^ 3;4;м$ZOpZ{N9]s۰dk@˫K`(sjD߽nTV+s8ZIa@r ^Zs 92g>z4X$X!x^2_RuVmA.,#JO>G攒)Q2  (t|D؋F /Cc{ m%wV.ÌYo@akqhg(Ok-b N0<OM?~~Gӛ+/t##p݇Oٴ>[/y{|74i9,Q.6V)dW ;/e}oRY nx`&&r$dC*‘p!d%mu%M~#/t`J4B|a?EÕ!g\|ApIj ݆)^YeUw͕Ojȅ~KT#X4Y?F=S{sdw$'N}!V|&^f֕o$?KɽƸpPI-m{ = Ck1!rF2v=~ˈ6q]rTX09tDWHE?~oo毦M_oV@[WlnuMGt, [EiVV^cAOato9մq3'cx;G,Œ?3TbBDM%Ã.,фPB{6iez2 m,P}t|~IfzY+\M{n~>=tky_|4#rz?N~]vB V %wJVTYyL#K_6J2ҧD;*׌Rr讄4D5,$ utJĞbxB*\n%}.P\€m`{zâ ?}kO0$!<Dy As!'@Q`eYǐ<&KGl< %kc =TN[T<'-*Vn)3*A ޯ:ORG45˹>)E+~^l H\Pe$Tx-~Uw FJ%#w5ϜVS,=J/Ѽ6&ru汮TC&c$ͣk'0Q¼,wo<{xamu }df"ɖnl<#*)45ĵn9-%c[GU(o;ת=k@dy>ݴzO_"7/Ӳ' oƞ>+Xr5왽\*!@egຣjYs {Z a>fJXxLjR',PvQzQn;X @(bq Ӯ~k#an^.pVԵ;xbxc PKe ;ʿ*kwIl-$z0$ǕAyGG΄; =&f} t R[%!p\i3xPr,ÆrR0"|%wYS̳k׏sI2~Bf] ẏIdlJDd~ CbU* Sdx KxBJRzB>s]^o^P@d% <[k4B p˸?w R^0%lv\'>U17/*Zܑnj}mn|~O<@h9EowZ]qINОo~9C [H+s'GetǛYWpɣW߿ܶZYWGnH |Rc(^Rax_~|}"|в9|^_^TN~wnG0dNirk";%^זkʔ>[o—⍪JoY~ @YN@ p Vj$>S`[ pʖysg~К06SF|l4jxԸToѷ"ݢaiƯ=c` G|h~+#U twǟ֑k}K-y64]5ڔ2h'ƬRNIХݶxb43nl\3re)C&;^b=f%nVN{#{b(5cÇ;/@,AZ憒>_soX`pC3cf)gu-*g I ]UYl)qW*]s׷c3ӽ[q>ܣQ*8=/{% N$BD嵟Kϑ]ry)q%JlԞ+qb|Y UldU/.\W(N b$ ;+nL5f3Wg29"B@};c?x31$vL KE8jIhWf2TnX#r1#K*->=!HP,-boI_+;0GQuo$Vo>)(]WѹR(,E”{|xcLoތJ#<(r!xkѩB0+U63ǏGOO2ʋuFΠ 漧O 0 ͳ(xwqh[(vOu$+ (PW{jS8gW \݅h\u6?\=s^uevN2\{<ouˊ݆]ܜžfN׍qn}1}7w][ßQƿ٬=5w 2÷r#YoxMBy^_8 Ծ gl ,9ンϦSyy%L䮌lNxS6YajaDSԧƓ:1yؕ#O+eDG>3VDQ:5gRmL 𹤋BW" :ߎfKHQ/_2 "yQ|} ' *8 AHa c,Xku?NuB ^UX>]C#vʺ0aOY¸ G=].d Mks=̿y4Ϟ(EJ] q}MmeD ]~VeNΪ EZBdJ+vm4Ya\mXz歰f\{͇CU 7е_N/syg4o<*5hSD-cqY/5CNE3 {|K-f,LZE߿V.> W:*)Yl6(Q s-kPJYJO3U终ުYW\MLE%!4O]edz& Beb۬_i}-S*nYLUpb.XNOXj?bW=yGF9&Jh=)f-xm>zawbwo~~qyB`k/NeZH ޱx_Ju- ,q LR;"Y?}FmV KKp,rGO+0=,TIQ/"ߔҏZ@:,{_`|rgx4'^W1xo$dIg`!p?QL=SKsf\AN9.Od)gw m >_<7MJvMahz"'{}>1g:a垲/PwaN Å+ qQfX,L[wk5^1 v|Xyky9u-vOqM2ֱ6ɁmѨQE PxK$DL9}Z^0dk$:{JS[?C+~euT]mkc~C>B,!N@[L7N>:ƵB.լ׹.xЏUM9*, %Ԅ)Km9, IMo=>]u%d ET{.ШKd_4,gV`aNm"{Gzޒ'ǟwr&TrDaBaLFp?d4ž÷o=HX  Gc-׌| ~v:yʚ<!Dq1j{FMHjcrg§'_Wt #Dc1ScҲ{RrאPm+⨃ZP9zGV L(pVDݘ xKhZEEce0hgJy9, ٶZO? p b@☐5fJy䈫Wxg_Nz Sߎ""U2Џe)m{Yg.@Pw9Xt/1 #R ROw|&X脎sڑB^ey~9/!dvrS{^ WH%{%v">Z$ iOGK͓{?WH|q(8)0t}{jAaHQk( /FAEk&B6oS(gC&2+gdvi=KKBRyE-<]BYXyHy!Ë3+ߒuG4fݕvbF#\5tx*C/;4_Dqoldh1tCO|٦יd'.e?d{(.-$KQ`!gAێ976`Qy(ɘKE/'fUŗԒJX@ #@ZkFeQ;pvQ7zF3j[ۙld;'#&aT2Z:{7`Id?b#c>Ԏ(5/=ՁgEJV% as#}P6w;$8KW۳_?>߿~ w8$bEwHbs{;T!eΟXG2yYj78_Ιu Av&jjCI]C3 ?7a2P|"7 sg2eCqm <i.ϓJty#%FvNҠTκ]>2z$@֝YڌV>Sx\k,!1dnA#^BȪy~PRW +JDxXWݚw<XǂTE \;.9Ap;lrny6Vр!A<\.g9ꃯ+˥:\`xWt3|~ū֚*k?  ՜v >\cp@cJ.Y:TXK7QF>3Fs'ʓ+gظjϛML!->8&2z#4$X5mEٽ)[U\]):wy42b\=jּ& [IN ڻ$3<ZOv@yJҌe=cn>ʲ<U?/,v5YܘC6^f|ƹmU]uXvy۟$[QtV"_^W jd{IՑJ}_^O y(Gܝ ˣc@NdXCFF=iMC@*-4Y4il1DQ ! wXC⸋0BU(TeE5AMNf?S%4^l[wkmmnX0Dnhq lfFpI4sڎzl3Tga&~1UxBOσ6qn2o7јdfsy/0/>}*sO\A׿ fGb<%I$q7qܼM@0`#n2y7'mrb=)x$ShM,W`#@ې)-A"Ëyu>b^CjY9{Ux5Ьr(2`(DThQ*D+/=YTP6kW[u蒇’/_#@RXY}4v`yl8ÓDO䦍g+tXUk`f1q۰TI\Y?tDѳfnMfS\ͫhs]ymם?AsFm( Ovub~i]Bv=X@:9Wp=C5iƠs4_(vVj&Տś'Q{ptf`0W Ǥ+ Uݕ$CCm4ntӋ7#T)B2hKRtĂ֠Q,`8I d 븤yΣ{ŏ2ֹmiV%S5 9ks18Pb+K` _62za۝{/帷 }v QOA6NwV?W>N;hu /s ?_L_˽Nf}>;p$TTjq . Fx;$UI::{VyyxR!g%ݟK cl]x!W{36;*HK.TrR(ZnZm[F9Y8>2 a3e4ʹ$OTg`$d#+x|VUC R٨YO)@0^P#:;#k=nj5S!ϯЕR(ӇuܹwE!<: TfP]&}z(A)^eȎS, W)ze ? %Df4P{`S`^AaYjF_{,v*>G@{b܆N5]:ֻ푄ts̕tOVm3%FՁ 7bZi<_vN G $6(^=7}/ 5* s˼C37x|GGM!l)eavs=뼤'VWNBa@)Ӽ^t{wF\?~0?3kk1> Zd'90B 5꥗}'D!!ktk 6N4cϿYߝTBT}T`]J gvZYa/>(5P >؍4~-ygz"ʝ<GdọZSf*OgZW{wpp*-8;e8OΔ%(cy#WRkcJjJ eMx8^c=[y=O(^tv% eSbag~R2~άg QF2%QݚLkVI7m"΂0Φ5gF^Qf|?όIC.݌bJ#37.fS\׋T ũ eҩ~Ujڗ;'ȶ5eOcګpXc+&p)k9/qQs1Iݶ_cl3NY 1ux; ܃T2+i^DF{+:XSM įՠ;i.PpEXÕ7^U%VN2P}rhue64uS9.gQX,J>ѾrKLjZXaG[ovVKx@k |t\g,T@fą@I6-HhS.3,7׸l4.?o2P) ez`2mmB>]zUIr(sy/mmܛa}ԡŁ}?ťGakcoxK< 􍝀R-Ř~+ʳHWUe阵SD>qٝ7ZïZk]vUބ ,0AҎ&U:xWy&SV+n۝I$Vpf"ҲUάs?LcW"'?JX{mL,tBNԇϿI}GuJ% y?#1뼃[`q ƶtWU$ֶ՛;,BFڪPނut7_ZwPJ= S%*:!eJg"%^ 5 ?p0T%\%yG:`xu6x Q XDOB|\uzno x<'p +_Hг\j GpИL}ߐ^Q[{8w~Ϡ9r;HԞ Uf% fTȑ5G"T H֡XD8xЀ4crA+fgcXhT FXKjd&Gx< K BRm# %(yqG|1El3nG=vt{=Rh:tw~o)!fB.: <>b3{!u[;vR&;X*$-ە!̏<3Sq!<@3?Z:tr\n ÜuT9z? ˁa=J5mNb[}_"S WFo dX|^as/^Rӯةל .]!;ҩ\a'D;:y^\C$oP<g U&{UɒUKƋh{{}i\v⼧i3[Ü2RuED'BJwbLsW vZRi{-![?ʶWvJI vVJ֓C4젙<5)vӢ7 upTUȓ|ZSsְhT{l4'|!pNGkzfIN!^*eBbt#IZ(]Ee{c@ftv(RL܁ ~~\< #R;.Iguw ڧ됖vu|1X&eD$/2| RgVDyѦJ>FG;+b%'!,1wOz$/'d^jRD]zHc Mrيky[J^ ${fiUK[B_ljuE*G1U4W/_6+5WT\QeqE/Fҽy.&KF"ssP#J;:<Ȩ bQR^r86XY^X>NY{cPH9 \j|G(\K3I`SƼ]UekcCDi%(oFA2gZ%Hr}v2=g@ K̭W {f?~?:~ F'5}x4cGՌg%Չ8gQx9[Tg KrVk6yP~p н&ģMv;ڕ~r@d@A}N:@t^o|iY  똰dЂbqOybR *>$C7݌ ^<H\ڂKi;haDlTӑM6Fcs @QVFJH}恈]p7ƸfĊ*y"YJu=Rw6f}'Êx?qǙE|W:+4(5/7 K?_3w,Ss+7G45uD6/P|-/Κr׆U~R~lKB_(6Bքc>wQZ{jInۙkGg&zL7|$V^˳9w Pkx,d4/uٰu}w н,oƿ>:&U0h7㝰Z}o>3>{v`ƑwyQjR]uLڤ7۰ eҼ䬷+dˢը691p ^2"y?B];K|//=ʖFtT~•ͱ*+`; <Չ}!z^z,1Zǿ>2qbyVI5e;F] \ܚj O'fB {RAl]{}>O0eclXIZf[Z>*\&n,,M^ٴqաˋ.54BwWёH1V?t;Bg,Vq.bynv4XZko#w%4btZ\X_7.(ޥxu'g bludp3l Z.5ƦS}Vv\y|?xz_Nd<cIV*偵#AXޠWuF@^zuYo=f"^8>g Ju0ް3\s2#W([K&/p3Z9<HJ? #;a1c\Qj1%q@s^Ȥz3Lej!sȚ\dHڔVUG_!JQ|܆rXkUeԒӎK`_~; ٚaqMg;s'E \"GPא]R%7XLAajIQ ,1q˚ard'8W yL$pktՕ=%hK=\vLtWx bbڸSsRսVͲqZ/scgh}v+A„Lz[¥=d<ҙ &Y`[(@0J%+u8p}H" ?IQq1KclPo6Bǂ:N5@ h.Pi^:6喏|̫']v%+u6[?s[eS#SS$xŠ>OٻOto%1:ASt.mw48̗)}M&odZI T n-6^ݜK2f{;Ȗ,ތs1 _qpR#%ɕ]G$AEkԚ#zfg ,XZ+v܈A+5v=͖3LY7( "mpf˰ph@!f.U \$g \|Vؒ5զr[i1Z)|GLu*}xoZ/_9dQK]~98{5[B3o((I<ƒ iJ=v|4dJҒ[kV h؅{M; +ֽVZ;kq>~ڛ@Y0\$0h2|#_z(|G r` ?oWɆb32cva;5QV4W[D//(EKX*cgz-\'[7ٛyrַJ@{T@#ʿOt|EQFaTf1ģT`#t< :tʀ~liT'\f#j5cͭ5Whxuʇu+ndшr(V{ G  wy+{{ @,\f/(J+Av[3M</Bd/uԺ/5^kc3P#)w 5RuOdFg$eT2;_2}k@"[`*S]_5+\Whii} s1xKoXr.yٽfሶj&/4svmsD Q: N 9ϟ1~,>Jz/ u0N(Z{,Td=mkKnx́}TGHÓM>*iwzSV<=,ޛ1]g^B%)I>uZSjQ' %:< _ȫBmwy&CǢYUp!4g.Bha  t B>NՠY+7II>Z\35˗82v4?Ϊw1N733B?gIkQ{;K A |Kl Ljea9.+< 8 [wN]K{:}998!xYG jn!z?y#*Wէ_u8 {NyR=cѶ}r.jvdՕJ/wJL)LnYju &k5J>{G(ɃV{~_CX¶AB7Wyo@gOޙ;{!JNo(+u*N;u"QHￓ|#//5oUCgÛ $jBPFp){ xL/${R J"gH.a!S'%ٮQ!6$5 1:o|L-;.$G΁9v x`Z:oxD5 tNp|7WgFeJ Ac3\urE^θf?AO)7n&/*pݫA*Љ0:%(Sh3^Vdx;9$0'N.lݑ)R Z\zBBvᅸaX&G3AöG\(6C8(EcO ,v'#ږխ`_jبagɕDxU&*z;O5f':ଣ-QP05"d-&ͭhIDP<yDžKB#1wz,ʀA%ڀu'LP>ųvwk)Yumj?#]|`Q??s o򖅺2)}y"H*%//6ONA)/d$So֮N }YNogA%++џa{3ow,l4pƭ9%yKe]{]Z{&ی\ tϗYUt22 @&HF2&Β v3`=c,{75k N!:2Bp j2:qQ/FYŷŃXh‡Эbz+UmZgG:xf(ܝP$2ѾjIB kvfa=T&<7>xmNؿT$ JRZws1[ 0n:ׇxrf?S:(!7+oš31mhC:PԮs"{ B DXV#pn^aWjI٤($HbC)ƪjG |Ex.KSCn*,rFT_9S -1UB:?[d\s,_ZsYfbN.!m_@4IkZm)uu `]ɶJ }:֒zv|6!g7le~|L[A4Mᴁ͈H^R݇Y zHbw WC3f5@X'W ^z0X45K["+ʹM|55Igmw0Zߙ;P?`XYmP/ƿMxvf ¦ 9ɽn*]{+K'OǏdzٷ0ܽ5\s6K㿭G0b~~u#.!"s}Td^WgܥG% j,NG$s˨u"7. sc7/ai1GiXK[ͪ/P{ >Swu ?oY7~0@@(A%焍kGM, 傤pIiTW+kJ^"i !Sh{'<ήG=#3٫w Ň 3kƹO(9 V ~C#^*u:7dciL[!T2uJ =s/ˏf(wd$(n>X^{,RFCtZ/c9f9O I#4NSYzj+`2vATS2dsYnfW-&8/^M&r>yQ&BKMRlLl W5݊EʸV3q<6}'HqE,ЗR:h'hFνjȤgň 2ڨ (5ڦQH ՉB+unF[o3Q׿?x"ڔ[Eд'2o$E+~26 7_{C)]7k3gI|,Tsn"E`hl0sZ7=\VgWEZX'Ouip+¯%NHʣKmRY[1h8E{Xw6|$xub F1~;@9Z%{9-ELϜK&\4o*b]|q/TV^ǘT 1s42=*d\bru U[W֩kX[oxvӶr<$soB:R,+Fs9t fVhaIe&IVl>@(uPF3z[4Ũ6Bx:gar-Q[>6c^uBFx6NȦQ@bUadC2f\Ipǜs{cK?kb[Vf!3Ҋ%?e٤\ ډI8<+ZfM3l#TXYAQr)ڌ CbEN^t ۄ2H1\gF+.|KH%͗1v}񪢬Z~(RvͷXut sAnqCSݹ@OϞ+*=T#jO{z+6.buْ"++ LFmtX^]E6{qNrC^áz3N⁓*LDpDFdkz$ʚӴ# Pfƴh2Rr1NٞYaOuKލ%L|c47RpWy_G2%9q^0La c{68;1d+Mt,e4.&^AX "t6#DΡpMQ=WDC/5@-20$w͔ρ=6_if 6wѥR~7F)-͙D? (iHfu+T]㣎9J@kD.gⳏn5Ҁ3 .(sћGhm)!8`k֖IItaœD"F oXJ&N@ É9_^>_HjJ^+ #3כ-3ɇVm)!鎂kQا۟k vM`vkN泏O>~`ʏ`2FGt~=t, C|sRwLAs=> [tg]="۞>}JNBC iUYO-xTKeZ$Z*|L/J?0@1S/ Bn7~8"jD޳حwn._i-?` p)"_!ݻ!06S~}4}=2sj(N"$Ra/.>bNhFR zU&KExtCY=#K 5a]ԕ39cVc^54?k~\ ޴ uR tǗI9;w)'`^ߕKa:\N  `;j5|A&~67FX7H2ZWZgrEBY1n)kKKo$>q&b.-E]sΘ@ EXJ@ ]sJMn:˒TنK6 8$鳬Rg &blrQ{M2 E9՘^cs2VkGӳWip $}x|]g/^67Ǟ n/+@+i-p>wo=w *\<&Vv_EQok O1{j7OWz^Zh$BeQYDE({:2gf:eפ,.ٰ)|!F- Ӯ?/%aq&Թ j)Ac"S"R6A2ݰǿeFp=2[{H/&XF{͍{bY8T?Zbͼ£E;ꎧM.g} tY{WMgAy,ϒdٖn3 Im+ԫ pށΒ&W2{TEE$ 7H|UuvIf+pI}jwh &sBabvy숹2! >wAm5 rfx_O9hIOBO%Yv77#v?-zx?n܁Y6 _6}?sp?Jxc/ ߀18aa_.kh5Ӷ[EV_JK˵'CB,2ܓɗ;UpĢN7?,od {t.H!|x%PSRbtSrJj.rz87}s2>"$jqT ÇrD X\-GHS532Sb\"ő{WSt,ΰ C+{euy0E3wl: 1C/oP"׍# z,>q'+ 9v~ˡ`qrIкz q>_~G¥!Gd9&t#eqL,5zX4ft 0(la)#3s@hu^YC7ľ hBp,T\9ʜ'{7rH b+B?UUI5Oo<*Gt< <tĚFZ]"XC6#Y/ $\CC!0Io9Қ$^bu@= סnEQ H8@sMŜ5ϼ>֏n@αF2EMҭk7!,C9g'`@Rkޖ=Af$ 8a7v @)MMS5 ˷;Kaȱ'w;䒭kpg(1gp\cw5*yy{慽cz֫O"#'}hU[)B[ٶ.F#Z&X?!_spgc Fލpf֭f!Z  H$ wa 4phqToо7?$XX/Z\]POF%Z"(YFnU-Du~i42/DXM@u!>\ey ) ߔJ;’ٳyHAGr)]_38Ğ+%K# 0 \Jp9wƄNrIR(q.rH\_p:5+/RV8aYC64 b&u ˏ0jdhDUr2ꂤ>&kf6`YRj찬)u霙ķ??yX&B"*g>g 1Q6Jhe^J쌥ӏ$a2*)"}W5VA +z 5xse4^4Lp{_2o  {{S&fB͇!@T,taÇ.L;,f Usm`Kh y Q*j"R-X(҃6+s>SYUɧ/^@IDAT,z>tc̷ ks璵0zs-D9ӊ6 $ZPkH8ES:ۍndD@+x)odt>OΝ`jOߊ՗Xvg4!a2&n흇_N>޿Н9V cN<A0ٗڡ{V=<о +F{M{3DH4tFrݮEiO\/w0Kl>~yLx̲VK2̓LŸ>Mi&ɥv-UAȋ7wh.'0y`3< <=@a)Nba}uy6slg:j;,=ԅ6xtjmyQ}/Q5?mMɄuuy}<#|JRz.5c 7nk] sb/y SۘHK.\\KH[5fi!%|Z}ƅјl+ yY%R[5)/?{E(hlߖ#pw̘Q0a$# ɞ#5~.j V֬ \  {,u.+T;Gd8<]~OL}m4~9+>$Oscxg$qFGK ^(XYZWdku_H9Y]L5͢%˘zzg7L'n?>uӪ7ldqs%'J IƥлcNvsfj`a A!b&yhO:0\ܓ@Z<\904ă3Pڤw5Wg$8,icUK6(ㄯ;eli_˪ U@9 h*xB3fʓvpndb %"/[/-{j]u٪ށ׀k>sHSh;jh,_TO(jX\a(n5+'sQ`(YHo}ʢiw`n|֛7`|?|L}bqTVqad*zpL8]lf!G% zVՕ moKUiØQg ^J(ŏ8"liڒ@Tv `{{#%Vgw@ۈ{;Pص}:k+5)Wѷ=wO,D0KJ`'G+>N'YukHQY]>w' `OHw1Bu|Za M#?_L[_>~sgv;_~[x 1[%nuـ| ̹7TwW7x#(Rrcf/ &n$=sѿ nv2T.>D/~2"Aq fq3u@+@Y(4l5]`V9uAU)(̻CH*З1?M1?G HȬ?Gsmg#btuaI\擟l.C;R(iy£̵[NZC]I5-Wbk^#Ge&%̂IzK{6b ݿ h:ktºerpY;{5 [ߔa[ϩ.#s`Lvm M&[WN֔*G:YQ_ƽ̊cJ umҞ҆1*uȰ b.%eY~Kη9Bh?ų, `)Py2 !|>zϞysݷ3~Wb_~n=(wVMS?"Կp1=sf[cah&xT6<`XE~ x?di+Ae6zE0u8 N 2 zc!]|on# 2{|ܺ+iU TvY{$Ik :ؘwgB+JYN2yDh5\dND۬m4hȟρuHP71y󒀄3ux}aRaܦթe( =}h0ET=º %J@RO0C~E{ eE%%]~+t߸o 3[Gݯ=U iZ ƞ3N暉DYKmLKBz[q&ҿ˒,߳IoXپbXgGG6ܿ,qPnWLz+=Nhԛ"\#<0/Y, EY,LgcbktOG€v _cQn CE{QaH|-,IE,"b%}%xJ'C_!ck>3<<AYT-p 9uݟ47~KpkwBʌ+U_?}I,R)FHb^L;`,an|mcxD4tt -RGFK|j.>#U`gc3״3U?7ignw (l3i" Gw?宱Zd_1./Y1\ H29yCgfDg\ Vs%v]8j(y:oj/X?x7B-9]&膴ޔjYcV2,'~n\QE3v`ֳ~bN4>*X{bS 5a#e]IljFB漼gl{`@-\@b^3== ,QO} `^k23@XwڧXVvP >6ѲL5cǙAOw|sVd`_-w!>Қ/+uI.*2«h?CטwvK|]nabϷ((# N(EgBuu8C Stqhl㝑j_+K "%2}8[\2ϡː\0[OHm 0tir~-4ӡ.bYҷ"*1diqϵ(B kWvVZSN eA`+x.a%ˢ#̑T p)5ӨZ悔#x^q1OBTvhr񎉗'xiD5I5 g-/Әz]&[s {]^@Z X-H8;{s >G˗}9[K<[9_՚7a!۞:6LHANN_1c » MK]  Amak7VY5Vps* 2v61VhUBy<<:: BxUeg mgE!1@h`$mN@xnV`EMN)Bn5nHƊ$`&LnO#~?7b^MJxM\Hl4}ߚ6E-ɓ!,B𛣲vAƣVDܑ߬XV4཯Nsc{F͍+׭))8ȶӷ?M؜vIJ/Ss._VEZXa3Cl806ep] %͓@k半1&pH15gtLLj7I#UXCA%iW1\sFF?\N?kF,V#@0 ?ZAk" '[o#}Cԏe>VbXL@uc':%!Y'\ؙ,;0fIsӤ%}$._MUu׳'^r150vtԅH !H?ɛYO_pdVtȮ_cF`ssg/mNޒ|!<9c&L,?KU}X 6<Dw ŕS;lc#&,\]ݹvQlv"c|,`T;5K0HzUz{2㎸kYS Tzm9 3YDVXSvf 鮤=I1 ?0fBGg}4GRKs?B*~|{hҌ"bB3΃LϏv[HܐIg%};a=m},>o{PcQ\-VÝansҜKˊ`q*J՜z[w\R5BlGX}e(7>y *BBLIJPpݯt`35vuRo= .*S|a,b4 |,:^̗fOGd(քkSSJwE?ijưw#FOӿ+( r6SaD?/3hR> 0jVK++ftѶ֬c=Kϒ%Zd9.+;2_G7 "FΒ u <6:I ƒֈv@HԮoZ8~?RZ{8hEvu1sUV YxOWJ\z|`6*qdm3I8s6QŏTB|ZsWJ9<</_R*B lyk2ƒKez>-WP87-pwM}|CM,tLU@7p!D07W I8+bLHخk!+{oun_wo|i^މ|f {BSf{`tR+*XN(a,vX`1W="/8 !LCd_fY5 l`BPXYf*$ >:t7(j6#mVQI]k(n ޟb5 (6,SB)f Y?ea GÊCoqK0g"3vDZΧa?5 ח+#Q{4"*>IA{%i z,4Hy󲜎h1z0%Dڇ֛uQ'#/z~}a?~_bŸޛL eT}W=պkp jB sc2oȕoA@>]tŕx<*}*+. 9p-@z֣ {9C ΑEa6Kv ;={vnN z:.AO`ύ|y!5^eoZ~=@G3{"ȊQ>/ =:ٓwhU>))|<ə=橠efW } `<5C{I90VMTJWaBK.>#:y%U5&Ժi>v2ilNvgO]ڒx]߭x<`L#/K!Ks DyρB\>\!}c=5:@TLrq]cSFb//k&aۃ r0E?Icj r,"#4>cϋ攚{˫?y1sKك9Qhomud*i>T?-XEUvun^BFiJ`##x~T6'ApF.}F9 0?{N&G/H>~c40.FM_y k S2,>SQ1C3L$\a'0{ptmp+r<!=$ \BuaلaZҟ¾+{ou@6:42BcSPg]x:ZLvO`W,=X@hS-3Ҍkck%t>ˁOGK$üQfYT\26p1miwĊ8,94Z5#jGF!tR^5k>hyOZ<\u: \BgfXNdK\ 7 wH,H (Bh4nS}X0?8DKr꿗~kւ3ȼW {/`(j|T~ƍpdχc59"&A ŹN;i-GeƗ>G_h\k{/8CK'D<[Ikh$`182dBl=ӡxL_~}g0Ok7l!0X$ib%]7av?CVG?1(( OT<(f$rI8Gl|YU_= <]93ʩ_GfxH/ 6]I«%v}"W{Vߜ %U@;t9+t^Ѯ% &NWbɷn,H.0`+\U `L1Մa:fm223˓U?1f®¦&I^_ۄ#ÊP o`'6-{/h;Jro-JyS3<)J.,Gda AJ&WZ;-N_RPWP"ʼn5MnhƆ_vnGXsB+ q.oTQyM!,F]= fB^}vez¸`~{3ߞo~io>Ϲ*z$,M.$|Ylh}P/9_BKdWLx/sӞos|3k0Ǐ1}ie ~1K:i+BLX#d0A,]BFcDIYjJzbMe7f. :]U`r> og$E8[Roqv%)ѵ2+PH؜_<ߝ^<ߛ/omʏ=< 2)swo~˞􎁧E bZm"tVrb7z{/YEKjHqu*,rA iBb_W),CWI=M"4s 9̍hF#*-a%Q+^O!:%Λ1%<$d}ﮓC'=:㈽rV!Ҟf˦eIY?@/0 ZkoRC`$|WZo)ׁ{EˏηzX'|(}m//~?䙉>R oϷ#{8g4'C[>z>&{oKHPBUtDB D>&|͍UfώhkἴFėV?lBmna*4ƜӀ9Z-9vZaQn 7L het~11!?d!wMh3&=b%+ űS Pɟ&*}>z= "%0@[O3F^̍r 7HCםMXY?l*3nGNR6h{4or<~\锂/Eaͳx}O<1jևVF7rѹN$p)G I61|u?iC M\**ZR[ s?A߱1՗j|s-{C[O eh= B8*jKFE ]w1tLfR{1!/|Z2UodgyM_zZg $\x\/~ktҩ?׾i 50kw^M>xhZnZ%Y[ ֧15k<. _2"t?+BQ 92SWzN[y3-T= :ϝYO\[W;A9sLUMh "lM@>qfijUs% )1Yclߵѵ_cwԘ<6~ 'щ '-&ĦPi3+(lluH9aug\D|L{F'/&ⳀߛabUN/ ihQ0zY,ĸ!W;ŬCTfF<ϺO%,Ax;c;V,y4i mmRARMx=%eˈ/Dsv4BmMÝbKsTZ[/P$w}7T'WZmm2Ǒ6Pv0sZ]+~!ן=[{q& WNC:= g> 0U[wF; by MD=\/{ca(Z" }[C:OY\,M\H0l! -\{/YPm:v^`L8WOvxl}a`pM+9m&"g`/F>I4^Z}mz0+u#K]ju/%8 1WtO* BvscVH~Y^#9NnAW=|O\EW H0Q\Uʎުtٜ#!<_#\%lf{yS ]Mr -9fnmܑS%#K0qorӭ;/`ksXғ E<ƹ.sDTDp}){/ R߽UXDcʵ62ɼhV3a,jҜ?_ɴ|qZTzAs=|<'|]َlo%ud nS}CMZߗJcW6 _`u Eh@HF%\\ lڒ5>7H&lkdET+Q&[P ,,S0ׇyLy_fӊ0d$&DƢJ HfGa ?vGGϚ޶эɵ0h Gl p|eoԢ~(͍<   / 2Hi灗uÞuQ֫Ђڍ], ,6\`|ʙ޵Σ;w.>S9._u0-eR[6%9G#1%NRyIN 4TO͇)_f1xY4 G0|J)#qpF(KhBL9ygt_VEfSsR99 &Np֛';~to++\kїyz}Ra-[ko_z DAcIx͋_  }s$T[3rbL¤y3XRĶ\ #W` }][# )5aT6E(KG⽽;o/dl5rS);be-7SU.L4j߼خvg Х `t1{MwZ>n| Q-f5}@8jnRZJ̕ظ;p̭RCiğצ}&DY*,wn"5'sw]Laۏ3L"h%<{g-`4]،xX& WXl&oTQݍz>5`0JR-yYYB䏲W We&cKu+< 8uhdA Ḱ|1Ѧלw_k^fs[_,u;ܴrQ"\f9YnWݯ}؍^ݸm'|ʒZاY94nEG;:,>ba<)a1;Fòb꩐溋5+2\782v z_xwvKW)|3o?G( ȷ=po]? fvY Kb@ =TCR[WfaEaRXlO"si~z_u;IU妥ɖj):֝|<˜jnzl;aNan툛K5N-zȻ\j_g;ou_UN`t$qu%JDs x0/X,ۯ_ٯǯ# =?c_d.B N`|Y珯ur-䏓{m)0"B>ݓ_zK$* Y]u>#`ymRk BjRxn.á2]Ϟ bB@2"3y1a6BSvc\f#Ēh5k}{7N%J̉s3x3z$>$eNY|1k#YB?'"}fg ,o6^hm;p),"΅:sX(59r χaE"v#7P}n^ G3+6JaE.Vu[t o|HX"뇏{ zsνIj%l &Hknxh&X7cC={V^[̔<;ϷӇ|>}Q~giʰ?3\7 WҪsϜ(B@5w(V=Z60ey%)jg_]Im/4(N`@n\81Lj֜>#2Su kg,٫Uq djݕ|mG3"CxA:?"1:d% ,$ Ok9s|g+_w@} ecf^:͈|jߔ=@{nYY>~: &\&Z[>~[=ҁᣕV:aeXcg0ͪÏPC@.Vo[g[Ab.T( hC%-==M$p/6ׅݒgw+BpScAcH-ש$=5J|Ht8L;%OÙ=eVgKҗd2S Iۧ"y6疑Kӛ(JT+saNVySh@+z!aC@ Jj17М<š5\LÞDbՙ: ¼#kT=GՀ{IȒ8*Fjm1f/aMk/W,4}bڌ{"4y`qGkw̧/#<ȸVY@hX2FG7r|n^_{dkq  [rW>7Ex6?7U4u @M)“=G Oܰ/gdTyYI="`{o6=*hx]ڸ!؞Gsz g|[olI>3_ULHan:~/4N;;+<8BL;B[{">(i)@}~b/Xܞ'd.I[4>j=ϔ0 rHRM^,df^1a ]J1 ֳu .xښ-Dm~>A 1'sڅ5kɯW DWx9zk̽TTa^:yf) 7L1'KL8zp6 zJ+)6 {L- % D͇~0[u&.qp-ЖOߠE4Ҝ˪Hs:vA 3ӊή3Rg~jӻ?0)Ĝ9t ?ѣXz6(:$}ͯ|eAj<`olkS cOʤ\r"~&` S<:3ɯ:r1p5n/NCVqc6oyXglD}עN2V`Җ E٨b #XnC-eBظ&@t/$ld1d9sr_ӱ4ԋQV_S#)#ynutXqKiHfAڳU3ga LǡrYxu9rͦmVY֗^DSMfOC&4vYhuP^a-p _ZvVosq/BB/^cif" 9շt7}]Bh.3VsMPvFU1F8<=خć54{)8=s*)_ G@hFDK9@}m 9\պ}Y#:}k t˲u 1uQ*ZY&[V阇V@I> OG>?OZV{Ne4ݨĞǢ^x&ii%_oO;˄w¬j Kq@嗴:4x|…N!›2 ˀC/EjC SRpG #p<+M!ojjA+,?}iY%Pg..43iW]9 uyTh*m׬h [T5u=iV u}ܣ;gs9Ҫ R~Wy3{q$(. KP:.+얐~C>/CpXNFU-A t _٥JF0E(-I0}e+eJx?g'ڔWhٛ{,A8$_ͪ펽XrD_p:ED~$P,<%S9 0,Y[g0ont"gR|MΡK!eP~1 akZIrfvBBxYӗsӎr{ܬ %6>&(c`?gs{/LCe6j K@P4qQ?}.)#) F D#S#a6mN *t#=EDz޵`;Թ2ʪG{ x\dȖ ߅.ʂ%, cs&0"A>}%%F\<`iMN؄ V:I vDCnmav퐵*w2Wn$Ha6p(6Xb^_6zICo/pv|+Wp I9OCrp+*B$mLQp#D_<)CBR <B?#>TbSed2u)[OшSwˤ)e` ],/wW^CYu`bܼG˄ EK_V gT/DgK=??f5kT9o_`~q-!{bD) <9!~gI kV-ܓ:6k6Y~:KyָpCڲd >'6G#,O!;l%I=b /cYpE>1L #?$L2sF ߾58d  [k 1c>l3݇m7%.>\$o[,kGʰ;Φ~ΟϢ ?|vQ0_dZ<}NkLZ*u>Gf$|$8]N{mQ1J ίKʶ7PMoJZϓľIIwoO 1\6YOt~%7 lEgUOHsOK$P;7S=_\qhyx(u9 yhk&"sؽ Y,xIc˝iD\X\Dfp[Fl_u_<4[H>DBS`ʈӧiw1)uD;QY b臗IE7.cP&gBPBd@4H"YF_V#f9ak)Iյ"ktsy+WZ<:^9W,#{Üdy۽B,]Տg,Xg[@m^_Qj &LplJX=gJGЬbjCNz`3ٙuEh0TH;ȓv+M̿bMg򫓿1qs3Cc bC&$ts&~_ hOKٲg3xg"}60[Rוs _ []~R h@uyl^mꆛ < 1aЈA飶aoI/"sBB!rcsS!ŀ/[$^jcCXGDi=bXgMsܻGLche5<_L>uB7dQDYVYk%|n$m8%t9.ٗ?o7pƻ{-%ioo Ϛmٗ.9pV}aߺۈJeעLPgZuѣ6☐hxG5 Sۻl;Lԩa[7gOdJHp(oj?R$>ľLxG9.0g%ɓ9+-#Y*>m-ܻ[=wʉКn­Vhmy1F0zWpc(;+셶>)Dcd͹ѫK43G& a&!r /Me_Mλ2~~0!&;`'ktsOP=IXMgঋ@ ǨWǷ_Pib[<Ӡů8fd'vh}_&n<2Zo3+1]$͍_ z1Q2>+H(gɗ|54 뷧Ǐt 5MXc[0 .ِ `;[ B2Xa>BIi"N\ssڃ"&Ԡf u;:=ָTyESχ#HB^+vJ:v`&/ NTF#TptM9du/z{og|CI>YI}OP$Mo­|SZ$ 0n}܎gD絇0 _^)+~1QZ 2Po4MǯnZ̺@)~yu hlrs55,qX8q#sQhƵƕ/Fd@feֿiHdiWµ)RHcT=`kge8#fweЧ#gC֎gj8ވ+ܧ٭1Ec{`㌵Uvr䮰~g6yJ0zwLeGx>T0YEM+s%1mUɧrfÍG{/+6!Rݫs-fGO>႖NHX(.MW9/ǜʼnG%Y{VKk4Qզ׫9 Պ7 iHđ6FU ֌_|^zhTg T|ʟlSuݽ\^<9!Sb-a'kvzܳ 菐mwMi{-ZIV<ַ?Ѽ33U|rhS=iz2l{ΤLɕD+yz6CUJ\ #ڥuyo1<#h^:F(8c8p` q֦IL.F.fx i:O.åEwU'CIoGYg0t1ry;k1,v"oN?{~fc{}8}[ߟzk4uUtMѮC~ʹ8V1tI{@O?>Mg((Q~.cLY=I//TeT6,,?X߸@#0ߙ1 楓'fr0͞q;kWS3hg8CY|z@Rݗ[:$9 xxMtӊ<Lz~גPJ3j7D[oB J]yIPTPD/TUb6Xx:eެm.<,ª@DfUWPI=]2|73Oխֽ]ݭԻݒ%yAeKBf0xa MxBf`g$,@ 66ƖeIZ[[}}[- `tX4y¿W19*Qm=]x╫p`4 [n,e 2ro ͙*PMURS[vF}D`Oٯ&B#+DYʨ@w^?σ;Mɂu͔2'n& H vFՕ%-Aap)ѬXgY$[/YsO/8ʙoEl‚N௑oOVxlZ0XTi !ųs\Z#n \ar .E3V'Hq6ߓ6X?tI 3[*n{h, 7h ߉%A;^P"CcL<2 `";m|nP&(-Eq*/A-!e8(|c"8'>=7U~Z5g|!ٿUwR x,m-tM&4%Lfi1PmWpm#-^Gk2k,YHo6Sp})&lg֐+*~\Wk&b~wĐ%tu9&4o=1YKۇs0 x,\c iP/WPk̹Ru160ޫ5"/hR6~ ?ӿNJȒ{ <|ް MvM!wECZ61PDUZ{_PkߙͤUֵuh]&֪ϸ6Ja[Neaaq`e ZkB[y R]X,J!W{.-1@xZhQ=)omie CE"1-qq5SqNO4]Y9xұe` &{|L@jHk'@!נBg TcLnbK0kӫU ꍝɺmɾ6\3v6KFpP Du5mlvMJlG=g 7C:uozd$keLܬ\{-ܚIg#E\ɵw͑Q.W@0@FR#P *@E&{18DK(!*?ů3ųkmg 7-O_.z Ȓ1㶨M?r;M=bݕ5 g5QdRc 9J5F`TQRGHXϻqmy2\0繑ReeNg3$Cy=bkW|_rt ſ?>o]>neAbUWiF--5VF^vX_%B-mu:ӯ,NyM'qBQ@[d3fpS_]wH+]HM d!wHky {! 3\z`N]#2%¨kfk%$Q"O]VnQҌJqqFlAZr.hob}( g0 gMy:DMxpxn>Q҄VߤMʨIVFP7UY)%o\KO݇%-h"*)y<y`E4x3/5޼u ƈsFj@XvQ6Gu|dlU䪆\Noh,!cak\/´,&D*zsrIyO*%L\G{z{\|M Bh|rd>VOt*u 燹9Jܣ$'AzF M='[b4eAXڛEm׊B{ZzY,!w̴ RL޷Lxfbq)UC<5_lMaHދAҎV'69G#'h<@C(!-(CH7dx 5U!|Y\S^Vm֐Ru &=tv=ng|,lqi:&F%t=y;[>xo:8tZļbif)~X!7B_ehs CAzE}ˮK9&^y~ѻP5]:NZe$=0rER^E nlf݈S1| 7]w亲X*@t5q'mEګPAl35lh;B`>D"&9}l*Ϣ{'kӝڲʝƱYy23уfj9eΙRFDl6#۫To7KwF2ev3^U$P@V{b.^: ϾmqU  ]S(bm]DŽAު56ߺk hs= \A<;ƀGNaTh9mֵ*6 9Y'Vp$d؇~Vxah\',u%@07m7%&-Rxh(_[VNuK-鶩&vef^ݐkXdz9)wvMrBEE0juXYE˭&a mCHJEt! \LwQ(_5+)2v4@}X^SmX*Qj!P3F2(vލYSD7Ѧn9v!ch9N9?Gf|`5V^f ut̘YRSolSV=S~;/O%n Oj"DZIm{,>'?/c}+G='Œ,K?q<>=?}'RDoHVfW',$ϡn%Ʊ_T/tluC|gez.;oC6J o|5Gc7GY/X\ Ow7hD<6d]T_݊ץ A@6j( 'ѴۻV6WϾt}4ma"4`NzOc@Zv SO 4֊PǍoе6hMgGQ Ĥ,L% 2-F3n0{eQ*%O$8Hym4)H׺ 6z"Us36Z옛I5mgG,ѻQudCj;x?oE OD薪SErJ*bX=y&sdFȵҤD cM.q79il<%5Vqlƶ,徸NeރTT}]4zjTxkŝlZOa>WQB&gogAMnc :Oh3d :aW[=xEʌB·M pI^kUFlZBBdb~ XLMKJZ2~K~L8 g,Is  ]942r<_"1ş_mxh,,0{2AF}qP|)c<%)sEILvxuBfCh@sz}qhJi5{' sKw^ >]zlNѲ%\Z##x_= T]Hs&Ǝ]{B?}}nmڝ}[5*!סFN:NQ}ߌquסV#:V L=Ii_Q017`s^ Aq<ݦDeEcm˒k4"23ɜ}3_FsO۩ng+简!qR?6vA%]ŴY a{_zbT r2ĈhW"}Ȇ!ҙ2B`א)YaC4BюVPzӽ( bMj*A׌O2(PSbNZ7znGű` _)M xk,MO~{!i! +x_z<-*VXe{-I vPԤb5N[XDdr)xfk%ֆ#|¼}7/w^v𪺸 mc/;O ?Xa}z),}q#ړqp]e9e~2BX›eݏ<.^ Lq83 hs'< zb(7qIÌo O/ijoM a E#ezQp4~O|_7C8ɳ]c~{)Fy?Mn|Tt4va龜w- D1lWzkDqeFhOҫ?<$x ޞ m :8xQP$7bc~˗מoė?f5' KW"wS_#/(Jkq*LYYw I<ŋo7f/|x$dXt:wg=xlj:qi9x}[MaC!UqYV_u|Of#KbQ"aʫvlEwo#|d\#4pZ[cTC{$D%!A=OW#=UoO>s A,?eq=ƆI]v[c_+KN؈4MTPöRoiƋn+"sP85u9 򃂗U(mM19UkKz.5iǽ#ʕ>F>}(͸6=QMh#*Ǣ SJcO{Rd2. @_;+oISk<(4W;']A?_F)ik\V7 &$W怤F)63\'b:ĎAX͛W(i'SPqi)a!CPb ]ɺ嫋Y6AZ9۶YB@=08To({AՃX˄2X>љIؗq˗]a!P{i뿎ϓط2d,a\Ϊ4vJ1spѻ1?aVblrT<;ٸ"[p >le,38QjY >vn+5-lk(~AZ/l|O/=gk|/2Ƕ5 ȵ42%gY97GX H5gX✝9s-{$e:>!;JX!Дv<}԰Ps4@Uc߉z;idki9M:~، ac&@*5[: iӁДVdزhU Bkğρwq,=رSkt:8Hu7< فP^;IWoso:,O ގE'Y%^ *W B.Ip (!Lw t}u֐(#kyN:HО,19f6]~y:DҒC`+b@Po@ABUo &<`y8|mqǽDؾ}x ^ujc5sT<X}=1ew{9.X|^Pa3(i:sP<}zG<{ ˓g3Kuii ,8F|+/ț׹ b۶-q/>u˖؂w(*b>Fd͛,>K2$3gN؄?\t +19vES@y'k嘵\pk]P ӇG0՞iVn@56Al![5*_ZZDȀ 8 qI\1*^ޜ\e&@HK;X6J"zM بĚh3XfPF#+VbuĻY c=]lVdқѳ!e tC3p2jV#nc [kF#s2d+jN0`meV"iʩ9!1MWbf ԉۯЅf xvonWڋU1 $C}X#Fݥv,vjFi`yO0nl"h]NU=87d)f9b x Z:&. x1Lߺi%_9 ]73Q[R??s'LOY=I*Gl򪒰 Ƈc5$d`g8{Wս RDزW>&'i y<x /oz?xԵ ٥9bx񩧢{ez:{v0`&g/_ Xg; Ǡ#?4o/Ʃ;W4 y;S;[W,iJ2u{*TqM)=i_O tq=zi^!YDt&= VRQ({=b߿v4ނ$֥%AK^ql+@E'DݸQЄ력mtvpVļrG(w4:/ϤT%2<|xn5[@/~fPsC4 #XLA NR.bU5<{v_p?5ppsZ6vK,X:9c= 4I[xϝ ,[#(ځaRH{٧Yr(-7$E'DB=;Y7- v7+·}q=1sSsWoZ(?ݱhe?9\=C\LqX"a~ 3f42ǔeK\,7dzFFUY..5bv3܃R|A+Ӧ!tr6-`[VpaG)D)}`up @zl`a*.h&ׇK{&J0:-l 8@WllHj!a{g;i׆Qx-:)TX,:b "3$uR+Js@yi)LO!u);VBXlXi CNQplb¡Lhf'ۡI'YNnY!_!jڮvН Ed5!mac-]Yj^mD"v´ɡ\:1@ 5>‚s;iG,=6,!iTop"ӟYkˌO;  Vиr.GY; )șH]iQ+n`&2 uT)&NSs[Bs[_|_sarxnin[n;">#Lk0$̴p MkC~1SG#kMj]oăE|a7qz)؏|>q8w(MKqn?}45)wc wGg՝*\`0[{JL7")4jH8s1r+έqY2-38~D_J1ȷ<찳2(EiEq h}# ߤŬ w#ղX )?&9mhGVk6Y(e0+Z vpVdÍ =̧d6^ F hQ, >]]Q Iji!cS^Zq3e$xV_y@,[؆'"| Ɋ1^VЙ,'_%!F!W JLoN0C쫐Q+9D {(SgndK1-! `vfȟT.L؞h>_=ewO.j48 &`ۣ43Ï08ȼQ/`YSs-v m <ֶQl c7ͽqr;:x{X艱FPkh8xCGcgwo>7žҥ/㉯Nu F~XgOKtZY^].KF5<< :E+6%P]9Vs2&Ej:nxh~=t$~=o>{Ѱ=]k0_k{dzPzzX֭=J| cϼz|?KQ6%40p9#N~Xgίč`+eޣg$T'@/?o|0Se\9ߟEEDž\Y^Wz01ո_]f xY) v3=>@B%mL#f!._d!עFUB8ZIr37 ) ]$-V ݏCǶ .dahgHf !'<3?n~+0rt|s88z$ZN)G?[Kزeu-ĉ{Qi:H-9RIdPZʋ øZ/Oe,f#khМVc49W"Kp(0wګit8=xVM;1@1^`øY چHr:ϮP0zy^-zq.,eXAФ8Pf:bdA׫{W^M"{11'Vg`aIDoCOwTɉuePhOC)B3ߜdv<` Pg?vmu灸ok|DyzWC xR}xz;Gs!^x9fU,]=Lݹ5ޚ-W>ѯm=os޽AH#l}p㧐5GG/g7sSF&Ÿzixϒ8J+_&4amP^!jqUB)cnyȝ3'eo&1 ngQX'),mp*FnN">4wQe$v `P$['GX<]SMDqrP+ hVnZCz''?K(嫩 oZPH\-P 鈭P/]USD;; kK$k5GyoPJKA&<: ~fj칁2 *i`O44 ="KS?>{ R pɆ6Cr0l!-Mq >uj̟d4"d! &eV\T`e)Q׼Lq +f@+nngO堈> x y-ݲL ~SljьnzE*L`-m*EѬV+fF;Xa0fI" 3y9U#_%|Y#?PȃAT85nR #v]M,م$@m[k84c1ߣ4)*vb^ӏT0>mr4t5V5[e"npR/y+sYb&k+fLPTSbߜ.E@B0gooEӴ?Y& LV ^IB(ƩCU R(0cX ~E].[:=? Y'8Jkx0G8q?} 9Gi]3Ժ- id Mۋя<p%niX#GhK]52 NM3xsA Q"IcN*Ak?^]_L߮G<Gvn@Z2ч`@qejZkAqKHAZPn"k(*XUAM وªB[1K Y=\[E/s8 R bHbua0:5Z9젛l*n^tU`y9Oγ5* u,""5瞘ǯA읓~=ȾOJ6!m!ECEX`*V(&gx; a*u=F]Q QUӠ`²a 26Yp-ʬ0?M8~ ?Ƞ=tZEnc І/M ҷDWbgFlN7-Ga(d.6o]L42Fo>=;cں=P}wg`DYU͚pt?fAyh[6kXfQ0Uq@`y*pf=Tfrstk"j7y D)N@jݐi-+kɏq^6.)<4+\X!X-+">آJipeg?bB v~duUbyb*CERd>O޼4L,6q#z'SrLTg:Eҡ+pNa;^UY S!ֵjTRMM\~]j_0kE۽(U_=c 96l{<iE;N쭰"5})XK3 LIYViǕsBML]ξllӧF߽N hΦ34x8Ykc!3ѓz0v0aX \wÙm~l$ IVe O{ %L^Ծx,k􅇱B!Lj.jqJ iT{!ebxkwBF8xFI$>H2)V7eX='هVeNM,AB}t)xcR|I~E(LkI_\5r耋qY.ܴ,:E(A6OaH Q*L>^ {4 fH@V ؒ\"NNYll%ŌဓgJfb 7hX0Ɂ(WfހT~ ` *@U8xÝ!X|_PJˆ#&x>6Bc<"J¡|ܷmX@]a[;kv9)hSwizmieDb灡`Mh{o-{ʃ7X}mv5@ʄWZĔM,ѿ%mπ @:ءraT &aQ j(M#' wޅɠ-lJU^j]I32p#-Ҁb e$op %lS0"kN $xt!oD(P[!Tr$I{<ۨyiKL2Op'=wyWEڍh)Hʚba7L tV;6-5z&6+Ȥ~^v.^zxξC$ )U`TXTbK%va0 ܉WpK‰,cq'f;bOMm7["B̻(mٮ]퇟'ӽT܎ [C 2hVu`y9Q䨔7zJ{^`spo@uN3T~5{\^;J{O.xtBKqiJXd 70CZ嵈;wo"؛lgi+Ӭξ,DܹGcn?d$ﭝ#YgqDK!7Ë|W 9#Uilw0.O9!!1 WIvޘgɯĎ- vpy.N~ .Z;2X3 cSSu<uO?y>vrr8E< cxtaa6֌E@ ՈUb w\f_%>u"qȬaٴ8`^sMh>㕖vX2;!etֱ\SzZƚgT.\cU@(mc) #_gmjB̽qf:# [ veZ6<z4f*Kd0^Mp mxGe Bqv&>e#NT -"op؎3T. |;&O=ۇvE?o?/a4{N _SN`ّ:`q!z:^EN ^Bԗb^t_Koa02>pD-nLQ%NU*ltI]Ag5*URr)HqifTEmPp악4SWצ Y#ˆV JXnyBP\1 K1Ԓ_~',7il!2}y*Uْw3 \uk3D% sh1 N/W9^œ:-ֱc`P8hЎD,9T@ikAނl24u+k~3GK21 NKq L @Z 3V;§fC8VY4T9s(h:`lN1KюⰈ&M%%>d( ]c6s?36Ia9S`uXhC" <|IP.q *#ùuC%6䟺EPNk/XAI ՠ-x+ 6e[Y =+5E(emZiVU܈}*JJDLG3To9_$x߻资@Z]zGѱ۱;e;&PNJQ=phy\{%_8e{=zxٓQ? ėWխlȌx6k8cgacIlw8N@zQlҗA8vJUcY QKad0)Xygy'9e>\@fzjUC=eqK$׵N%MD7Hi`c=4f54ˮ+1 3d:R)WpAxbKPX>K! dZChHY9:\1jd$$LBҍ_/z4u@r)9iv<2asJN!Rg=@'@ҺL-fUswScRRѹ-%G)!#6M# E;z19\+Ve NʎEָN"BA jq -hb0D ZMU]yO˼vog_.66䝮.@;>EB/)j7(fTsQ Z%gzfB65:-F 9އ3ƻuKk^o"+%l _ĴK3l;kɗ^{ivnd i2~!}1&(aQf.8 }01cl|dtTk!!xj4}p`87w[ ? (PVw!9r/n09Ѵ0Im"z JxkX`7جR8B}(M[ׇ 9==Lb97^J2ZfF' DO6SrPSz6Z~ii<j$޾K,+[2iAHvhYqoi_\dܑ[M,*[yW2n .=@8ϵR&(2Hnzf8 pi,aȷ yh_!)hi9rx6Xa#R ~NJCM=Z.W:GEZB.@|Q=VE#ۑ˳S:iMq9FQ"ȔH4o#ZOJ%gHf˖/ ^ 2d] V?|UMv X %7:]}Ya! s=Μ>MH;"!]6)6 9d8dQm#T{d>`J\WXc.fHMf 70bNL:iųuॕ5,fnkkLzccy)YYJfQ`(P>íӟv<"wNWx13y-_LyEH=!ӡ]?{J̄RuyjZ Ee ZC"ƑE`J;B wp .+f@E7qW%pH}iNeViy[N=,/VI$9qHWz ht\d,8Jb&5j=l- )7REk'j9McU]Ljf8*s{ <*UPxxTz$q`Zлi]>̢Ϙ~EXֱdR< xz(kV:H|a?e<@="[wMa=me #h90U\K%=5~KyUW.uє,'y3T$vl;_w;zWw틕O=! Xo-j8M,[ ;$}vz6q?,`Ky&~gu*x;`l{9碈'֡ $d ]#?@Eik![DJ!Wv ecW_g(z H|M\ BD/F:AiiΟUƈ)Y,9[ȨC̣<& a+'VVX@Xt 0^EǞx;231zM3u*$q,IX =:))&tT9|大lҀZ jaR]_ ְf,d,b=[#KGMalG-&_$ ?Qv\ݕ&87!s`h+tS^5U3U %xox8tQ:/ Ab zwƻ85FQz=PxOW^Dcxl#VU#z6ƴ_/34q@l:$kF{uyըiPf<7ٻ 8Xo8I9=AP ,rO}\"ެT;I\R٤I6 Ƹ; 0V}(}ǏUߔɚq < ^|71_O"y%050tf@Y=! {P; UA9w4,b(pC:qsCVb#ji@xh3jSxc,2xbOrqFWrO#hzK+{k߻wͭIq'HH{FѢ$!R}V"xm?^)d˄4{`%♖fGHVD8U}JʻjR{Bg2Q@޹sp{dW~˫8;7C]/ QHڢ6_4ijݰoET֥o"7p 82O|}7fbwhсcM,pAT:*b"=ا4NYHKK5M5ӪJPW Oއwq:kp jjXri:#w?.BZ*v1 vWdk;&[װxb8 :UMpcrϼx9+;=~x97HGf 4fJ3e|@%ץ~T9E&T`T4|@A4+ɽ<|!ʼG^t&"7`p > If[%3#7mʩhrC@IDAT@Ëċ ap% @0(/3@ ǗMՉF46?Bn$݊@NElz? ˰jX1*(XHNE0F\ g X[5l52,@Oh), *ͬkk/5SS lbQ4&Th\̀sQ#=eyսS4G84]:?1BoLCB5>쇣-'s }߿qz(Ι4WdXcNӵ5qJim<c:B" g hes|tk3G$eE [d _K{x؝Jz;D nk+#@4.A8@@guLg='I޸Yo@7h<B$7WVʍ\@uRyɯjNK /`k`3V,d}1|,r+3u %ViixKm &Q@0~M䐂9^Gxُ Y|~}hs6_CG!ʳ- T ]ʴ~?o{_~=ocKGmhfK4<揞 ~E:HCħOyJ p }b& ~Sӷo9ڿrxG]CHJM/[o\~ d*Aunj=P7W*_zfn뮞~tn7AoT&4 xmqlt݋Ư_Es|a^a.7Hnߎ_z>,M{sJ~a1EtY7IZ0`2܀s|Ϛ;X1AIZh, ICX8. , FV(p"6vWzL@1ʂ0DAAw/lHt1fY&D hbd~7E3>),hk>,-4GTg 888L Z[:BڎF)\gK u̹ZyE`uiWulzWp g45P vi>yj9]JzOͦ‹(>>I>mg˱\BmaIMk0yp]-mY3+(NWׂ .Xf|q}Ng|TK'm$"xQ*h+Ȁ&Kwd*F:c@/MY IK}N?οK[7?yQ ˜ޫl=CK/.Cs!Rxg$<ھ^@Fc'Φo# 3,g 0sVFfZR3Q{]owNxzN=Ȱ_ON<fr^gN2g :{syT)ܠAJ/YZYxH-MҪLɽ6 `Xae~sT.i/46 Z9$0p DsE##臍Zmb]Pq"h"׳ZMTMXH6֌QWjPDfT>i)6G⷏/KDִKbFbפ#X!O0jm{ P J.q[h1N 0 13(i5~T#tL31C0U4_loOĚ|Z[N5ku>XOq{Xl`!Orp pY {ﲼ}TL$| bDJԪO'$2 _,q_bEP灴 H8 xAlAgԘ RSѨ D N?K+-nonNCP4ErtHC'P hmU( ޽I6fLׯc º=.vwqBX4n.9P:_7͕tx~)4UkrV06kբKZ!*~ <{lz9[ :Ό Cu6J(a[;F_kc3ƣ0;BfQks7F.q]},~GTuDS]lʩ'ӯ_Q;x=pdрQOX.՝0g c8;3Zre4TP-h6݂hƂE̓p h1XZ*of}pSi3e+5Eh XS ۣ;g˹S t%b1DT"PwI- شuٹ4 -b9OCeqh֒hQZF~i){c%'^jsfTsA(7YZoEL2U[t9Աfػ/ǵ1R( ͝!~z@TWtGS xo+A7I79|#rYaB#)=JGEVE_¦b@mlfƄP5p F`uT -oV=+OXrU&OtAX`A8B(3B"U &II\*@?UG|FM"t75 *t\]ώO?t?30qAsc 4$1C^ j@Inj%*6'⦗>兙0T ߥnpb$C։u;]t)tֻMS:,#KMH7Fcr ig}Xnڠp*఩X‡' #p!g@;6 P4s7M.֐n`&?Z*MS`yrΓ,՜`Nm2!䢝UG޲]cQ컁!.:F3ʀy@d3/"#\L)lkEPh~'F Z} 4p| I'nD-ޔ4``66m UK9m{tl7A퓇Y;Xj(_HFeg{bi4ye QtMTSt)ѦȤ')#C(L&l#ox\oJ8|_Hdi>F} W[1af;`O6HP_VSB}}yV{81A~*"t`5#벎,y?6Hl{}`5k5 - Bqn u#lL2Re`{&BUJX1ुT,Q x.K!{;}N]{ߦAqcq-M70Y̆ܽI@E=6ҳL6# 0pLIkoSgȧ*WOￆA&%q3Kl؀'&ƞI_LgȾ:OnM% "AI?vsng`L|EGƞoou0(&#L!ws !iGь2[B]]f.Fe W0TaE&F G+]&7 Va2~?X~gkCKD4""?a:iŀ *[$a-{QMr$:jN3vF* x FXrjn(p_H'OMS3uLʵ4?O!Lv\r'ɜ;Y.;X]Dpavp lw4XF)cI/!;h IV abpV8s@C\gqABSsXw6J=wuOju2J}QCx^ݦgU!l8 [3B,g Lӗw1Z>i9K Y aH/^'X|ҋϪ[͹Gޯ5_ݴԝۗ^'W/0W "tV? 2:Jgg sw}<+!z.ѵh|,|Z= յr;; h}fjw(? ԳϥSSP"v|Ztǭf-#<=6t 'S3wܡK-An)Biה+ΞT'JL2&#F<&H#7AK)r` Ic8#e0r -chm@B{YU0*R!@ΐ1WYGfW`cc><3yFϼ4׍Q("(0F_mcWIp R~EǡZ`*H apz3ԧHȾ]:֌bDzf A1HKvyХCQ.j9ogl R E1Ϧ'T:~Q,0\d6m C$w JOx5ĴZXYh,SZ:49Eڞ(4$_qZo)ΖLR@-dGSkS#,xttfG#g$4e{Ks(x_ =8\E Rgߤr,;j ɁLp GλM=^<)E:x2[ 5H slzFݠl7Qx|V;kΞz 5ehr1GևQ_] "ʣ2lFT4A#l:b&߮U329JAp\2ѿ Lq줳)WR5D[3Gm"T4rL `~(ea*Bht1E=hP = C[ >̨`rsԲB&#(6ks=ˠ rኜ1 cmƏiז/ T:wWNNAc?K@e5[XJ{?tpK Ia__{K=%`?L7:"F tEEq n*]loQ']gYRe|-=72-Te hrZ5mtg1w/ ޤtK$kugDzT  {0`V.kФu Ͳ榈rA0J(kki+j4%!ӖA- Wӓе&2FSEO34ȠTg{\?CjO8M{Xkj )1XsAKVFYuC,ihkh 2h`VY>/È}` :Uۗ("8ybvf3S AS8\t$y& A7cĞJ8Q7`jSlHo~HV[>7_}:qXf ֛A`z4`T^ =H#} 遳g /!d+u?O?B7S E1}{0k I6i2vƔN Gb˜K0)_`玟B 8!}AxlS- g04QD vM;R9$Ӡ`ь6g=!)6*.9@)H: B/x;Pd]A3 1 $h%!.Qu|Z ګu 4b?C4^R+/ܸ &涤^N)* Df_!M q뤧q jELt$LVy"FY0HA9Ie>X8R">0j0BiRl܇ݮ#816P0!rCuDeSF3! /yR@r} 2z+z)a, >DPfk x crNr>p[!Q2gLl `՚ꮌ3yjT啛Qy*v郸>4{7`stAY<ɎPLأ3O_8b:F{N`P2O:y6*ƺB>HuZD ذEpj)XK/`Ѱ@M^}3F6Tc0L񏬹眃rlш$fgAflr"-h>Rt"V"5AkRV",n= *:l^㿻 =ޚYmA & u{-1K aa4+, Pc*#z23ԇf 1It!X'Q(e@LQ(1Fw!TzD9WjiȽ ,N|M z<ywIdUC)Q`N=t c khkT4n i[KX7I /:p|>ҨCai$xV2nww%O:sv4rOmc_B{hX,b\ { =y~+}ꁅtbi*:ub+{ ?]}MEO`=afRb g5Dkc ΐ,.--'հG^K}\_c& /|;վHg,K 읨^(w؞};Bz~:JkoK*{wϞsi8v:qfsˬv&F` `yq YBu%p @Z칟a#J\EYiBwj聎ՏL,I&M'0|8*F7$JmZ1^V%߃ӟy# O&cf ҀgW(0 8EP=M[CUn3$oM3s~3- 7֕Ӑ3fjѸ@Hd 32%>JopVNFcgV!OBpT0<{v!ؽBȈB^!d1e"x0l2dXL"0 =$2fReK}X( uh$f p z~0nWӃ$EbCЎƦJ*?K570C5phډz*n?o.4; J8g}pate,j 7/߹ vQ7Ʌ[p@1WL_rﾞpo̰[ Vjq H"|9[~)]yܳ/fs\|*hLm>"EB#Q6(Դ~qg-gFˤz<y`D;]om|(tK4'& ,y"6NaZ\@LW|GtשӠlӑT(>s\50'9&"LG1);X Mn;{g iӕ 2w㕏ca=ҝn8<[c?!*' >A 4syF(A#&1u,u'*;N+%͢6-ʳG`ϠP=+5CxZGMuߵfQ9 |i,rvi"?!wn*t0#Pla Bt?A;#Y#bp]tF  Х.7Kl^xFʶvVj 8h108nHҷm28 eHAP( 1 V"+ io TfYdr=Ж_ /Ӻ[?O/~`TдX_M,Fzv6/N V#ۧ2̿Bj)h.]h$*VdEUJk SF>U=Yk!ᅰZjxG$Gi,Gjm9 aQ  >sjVgs˰:<mwRHF=s,GkN;ꞅoȇh%'ȱ@ |At>)%903%_q` x674p#jͼ*Iȿq-Dc H̿Y3fAJD2g۠( U&ҬUpoьmC\|&'i*^5-6[eI̩"Z4WDI 4DGYED;ڽ8( B@\ LI lb)Aw-#z2s!QKԔ![4e԰d\`_[0?x6BVgT_JoDiQw#v"~Uzhtɧ<7#0嶵Eȭ-" VVǗs(o͍ln:ԘtaEd(^A\<.h?;c6wi@ͥ}9 Gm;{A|Gl7ŸCE:z_sMޅ \;P A`5$j7?r:ؙ&}t.nH`(`p+)G<)R")؞k9|#l^ NVdv(ȓs݇J|lfe0?k7UMH{&֍n,߶hVbu&81blv n.@ )͠Je`]A1d'1JA VƉs^ RžQHS"|ti6p5m4CGjhy[P#RhQԌJwM 5PY0޳b7||:=={ĒC8A  ߫d6}hoY!*B,ct-wta?>Dx֢Pqj rljc&:9,b^n?m/?gԸGq ot_|V{*C3|Ex쬭c;=ǩ㋩0ݸ=J7!(",.)>#`}SܙO+[Ȑ%zC!͋lPs1<38MTYPQH>ON=#:pڠedncUG$Z"͖| iŜJ5w֕OA !56(ǚts.cj э;k2D 5eæRd 6S%JkH|(~0deVڀ#㽯"Ws?z@Z`zlb"n]_!p <ϯ ӰY s*Pm+{ၙer" 'tݑsWRzڻ'wzK6܇&Ύ=:<;c4 EPij & ! B8?"IJp >qhhӦc7 X)l9}hu82Ԕ.nM[GY'AP4s2QTSU4ӥ2д,$"oz{ZTX_|gX a^o_A+Ro8:AQ>u81]! jM<F\Itb3jC 6氻xQ|\D!J*\:j& S~\ , ufp̳ qP0=ѢٽnsI$7{7GV0jR9.S(}|ZJڐD"cOf\#Б.o.er뱆EDjN1~F)řPu:8wp=˂9yN;WhSS'B{fx:ydZYAJp]GC*xg`9@2@@&w|!Jwy k/0+U]q -8Ezp廱>J>ZQOΦ3jdDRΜCkyq[mH]FTa|d\E x,tB)cE~FKnu"mۼIky|Dv)"H69Ie(93AE Jۤ~f*X+`a{xEpw;M<aׁCU*hK1vU&6:\P M)X gBGo-"3%_2\W1VɗDT9X$KE>z'!jcJѨ $!0E)l9=Zv⓱BRo15?_~a @FNܽxnGB lD# ;#61;UU:A >Jl3ZLB./ <@VNq2NC\HcEh4Is@xf!fa0˂;TXfq-l-卢=iܰь 9ƈP c;rSTRY C`jI T Bd_\_2@ M96c@0xtAJE=gЭ,,0RY@Ru׸5@S_`9~5ߎytr>+D@9S0#KQEA*<֎Š"RRDIq0I@ᜰulm{^Sqc̃˜k1*fZ1fjDevAm@>;{:#-H1Pܖ2ŠG*s@]Sce\r]K0Vm]Lf'P2ѲI7j&ǤҲx8!fXdYͨ1d@49f i"x,'A/fq1}vftDk4{BS "LF;mv[QD@H|Z`U xa֒atm,ϭ&mM),>o]R.rP_ޜ di: JUF̴_<'l^"N6 + p"gdtoK5&. ; e](h&""n΀s7y K VqcmMff­W.[Wrv5`$1 Kg t"L= lb]j ֚~q!a|SaFrsFʏ+tg|׳E`׵ -(dc A  .2Q}2V<0ҺNa݇\!AkeN$tu&1f 5b}_EÒXglhT ] Ț `Y.0{OH]n1jxH?أ!5nLD1{t9^/B!)fDM[LIh]"ZiR#E2PnlsuL40>H"59 htGju4F`{&fӑiɑK@یz7E6\ ceX1cf:uY!5=$~Yi)b:K-fAu֦ 307Nn>!C<A*8!ehVkAGL $jyl$M`r0\"Ɛ`ꘖX %ASj?XputأSଁqVm0Ҥ:ߴ΁`.ۆO)<+jn",,ցγi A]q9EibX65*s?+K?8Ib=.v^1OG5;]g0_osTe@IDATPxmQ=z5ӁN K  ŁDuwm2U2 и h|@#,,F:e 2vc҅1@U&njiY2nTЌm(}(OyyHˌ72P?@cu|;/~A*]&kC*9el/RC4Xmn ]g1y5k%oS7ĮbEa$#)$"h?pH;]^}AB=4M3 f@N g˲b`=jOi}v08VX*5>=0i|1g=8  8RkJ`-O!6H@Xx{a15**94[+)(!m% yFc%r1a.ZU `>@Æ0>?T?-[!2/d]h(8%Fyc"X.yez'P/Q# E pO%ґ5]彚jZ+m}fDC6yG,v҇#f9qip;i8Un0m-CS}RȹCr0q&tfM]; #@V'3QC(!dpuخ,FNL hp!q`DRYJ;ęiwӟ{Ϥe})>| ){|nsJ#x8&⧚No}aLC f@J >@NUhV9#Zj3V5/R?L \CX* `ెb BB`"5z; 5~owm^ktŚ~Xc)9c߳b!ӑ"1`g|8PDщ,c=ۻBL#qD# N `ı2gMwl7VG)K)5In=rt:~#dZ\I?y˿OZug:"eMŌ y]`r%/ub jQ6CF 3@Ю95F 8m]Ցơ]mi@ tKh+Tl p:}n^%,K\C/<چUZJט+> 9yDOE <#CmƆ\Иލ[Zwn/jL"9HhE8u>iX"IjǠIۓ;YKE ۚCpXh2r fȅfLe69ˆ,g8fi1&8A G-o6Ɩuva1SE={-}uԨrzQw@0Ր@F(&vIԪe%3[ےxC g!X}g$r Q SŸ64= ˢCAVvZUZ&se ~AZA Hf 6/7'ggӘu\Ot|w5R7LL3V 0Y#RypyxuHpЅko#OHWӓ{Qw[C ht(`:nRM0(*V:B?1CĔ `g| x6ڀA{v(@Lpb7Kd60J0c$>E DJL -ol ka 6.m`o^qv[~]AEP,XY,DFI3y|F,@%dHr4b0\Рm ďQb5tj3w s]{ٜxE+y9<`@ pM\d Ds^ ejiʺd bϭxsGCkv Z .c/8 u:ІW*1`W+mCgyޜ)B|[kAIaILBdLI)c_'6 C(PG X~K ŧc1s'~g2hzHkCWu~ޯ{c|q=pRY`F9>Cp az7?ji`Wٸҍ cK-^je33ӿ<,.گn J*ZfV̾s'}]e: ^xPNȂ8 N(E#jhI;4_/%Ȼ K-sVo y]Cwso3fv A.$H|h.C0HsLZfo`3uњ;Dm,& BiVa)Pm]8 vYY5oncp|TQs&kZٚqY܄fҗG,?fj=`Oyj Yl~5砕T8z:]ѪX`Tl>P}a0ڐ͋3*0g@i^n Z,12P̯Q#`Js]9uLC_X*9,Eu5DŽF5YB63US05H);F 6շpꠒ Ћ~G,٩B/2tIR:rx /PJ6ܽcrj`̜">unD htU3 GlS`kL4;E\i-kH( jkCӁq&V Sd݉ UؓW!XE#0F)]RP:q,Y4 _R Io0EmXsjOf?%u`H %\78/ጻ•/36LZa6a_нH7̲`F5㰯[A_o6^?,d^ T ,bgLgec+bCx,KlMnc U!pY8訅0R5ΧѺ}\3xR\IJӕ/Qπji.1M}͑R2$Bi? Lw3B@cm͜vp{eZϺzQ[ {#>3RX@&ف-,>.HJ[IyJ(r}>&ÛF A6в7`tCZd( 3}JTYqIю9Z'N7YߡueG~~)$fQa-4UteI©)Sa v;0ᖉ@ "uK 0.|WWO 9Nm׬al=4Ƶ8 g<,/"xncSPU(=[AŲ (LÕ?KKװr7^ +t]}#]bJqPateZ2X+ve:#!5\T^j!'aOy}>0,<Vث FEZ) fdZI<'мCyEbuo-TX0y]__`[ Ua_a+טx 3 &ըĊGƩPc#_)CZW%fF@Ie^NJ;o)@+~9|6@NZ @0uUW 〢.ǭE֓:1>~r"HKY%_k̉ JǘcP?t!{t4FIZ '0q?օ(D˱1}6uU_%F^끅`^YlCʮpT*Vucrc-yJcK1{(AFU|fj>!h(ƒ!"Z:|NBs/eOY(.d1r݀ DrF! hxt#N怃C=? hnRp#ca'h2i'`q2hHy^/[E5GBSa.ìLMQžmVpO^@"i2`+W.ƽ ~fڤq}5F~6AlS_ v- H 11,IġOEh-ȸhfn(9[uKG0׈%(`GIdM5MӔogw*MВ9< S;Eas=tqۭs,.8Fn%3aː 9jIzU$Sv^&Y1P&G`gHj MgE0V`3o~ v2J ;XSDJe3G* "Wi`` h~z0X?Yg>gV&!M!JXm]TA=MN}}W{7yц%(b߄';PZBrмkA%ԦqApF , 7"u㛩h=1jm@3pS|T\n,/IGБy,r~0Ռ}A&xŁK,7@Y ~Yn313ܫO4^ W'Em*1 V"AQOfESDY>4EyE)7kFBDp>*ŕI?lKy*Rg{^7ŤdPˡتWcF mMOTBy 8z4&HghRNd Ңl¿*2~yl]nV۸ʭ;hT"(ݠ]"L`&-"].:sn$&݄P7C {qdDoBY?׌"g+kgq1/ӝ;v)ƋL/~ymAQ̳B@\u"8,A؟тv_+;8}_ΰ<Mw)`\_Y{x6 ݛ@Њ[QMe%6grG 4RRG2H"*$R1C;@6VTȞH,,.A* lPyaɅAJ2~Y[=cXbfCo4Dͽ6N\7"њN`F gwhs(a6% Pdw͕nHĩ_hD2V( M&h[g22=&6p!;dCdNk!>s`s  km  "aR TmKX)w@8qZ֮:O!@3( b&]g,5K6c=0=҂h7aDoJK, Yk+cC 5kwp{\LLY#]dp*'Uu>#+0-Rwqe*@؇nab"˳j--=֥YkȀ\ɴ7 ֣ NdciZ-8Ƨ~zg(MW? Mwebu @%hG: B 2>9AzAs|zToμ{ctTcquW)ZdhQ灷f(-PZ0F(k2YрưnSi͌$w+Yd|a*Źv '; ~(:@|w@w%I)1)γi t[da-ئ,&WY74jB(%;P|RVFS }a#XzZbPӜuFbI18Çث`pޘ"hiPfӱ-hXWu9X ;Va8xd>> i2+16Q C9<؇d|GNLA&e!Z5* ki:\l,k$ MAD[A!/uMDa2U |IJ#P-k nD蝖v Ɏ曹%$Ն2®`1{L"M)Y:Ī[-%} 䝰$v, :ILњ(f׉L\3ʌƅt-O3 opyge9X%]9C[t9`òFN2X+%<<0x1u>=6Ӽŧ8rv g3yg- '/U -y(QϾZCu(:#Ga̤~2D!h*jrU9bWM^._/js?{G|hoex P>}#r㋳;|TF=' ^oӒVsѯG /0iKMo^wh}4)پy}y'\&c5y':u}Wzb!.GR1S?qrkfΊԈ6CAC%"JL("ᲅz旈pJ8;O N&wHXR4&tk{~/]6k؀Bxs$=M=/ ;8%D\z_ucBȃ`sUӉ@*4TsS&FdMNwP 0TVak֎TTմ"<,pH{<1,{I]Zh;4.`{z)tX{͜ӟ&YHߪL΃Y ?f_iZK%ݑs5|O3!-I2Vޛ\!XTyhkib%ϖ~xH({ ̅~i_h=s  8n37Q9]ﾀ5*f#1MO|Ir]*Oh1vf=-s=Pk2+}l:tO=,//|]03jL7Zߺ|N~\v+9%e`b9}C5@4=gZNy5۸pQ jAm]ҋ~%,_uَGXuHs WP`1s*dH#Ÿu?9osQ_nTQgڼcЌz c%ۥDB~@?V] l0M6r yܢWQ Hi2B{~OfQ#kzm_ &\).hEn& =@hC1:Q#7A\^0 &4cv0k̍\+_C <i_dޖbڦ g֤ `:%^+8"6iVبe+v|4a?dO>ڔl\7>l+ 8(Kؓ9Ss:h<ˈn5-r)´j\}dclNℒ5e3mcuNi7`yOG0şڗW?ˤP\}|Uc_y`/tjqNE} 8[3(O?ǜ:u٬wI%ć6H=6%$i-'I3+UL׀!$ո0*([ip*jE|TseJrI=qc:< nE-%R4mȒ@q˸kn_V:fBBUPBYk!d,u: ^:mv[< 5I"Ås@C # jQӆ 0O.Ta˪k M{KʮvuR/R2%ͦdzͱ$L{8P^>r֕9KSr8S3N̤gk "3곞*oH&@(NߟjN\2dH{)f#i>b` ;a,7~ы߱s@(}[ffBMLk)˴lpt=ˢVg$P8Fp&iW5 ?Dqb^j)75?^rNr;\ %}\X;=e_~-חǍL{[_˿*~Oto/)F,_|\˰_LkW_7Czɠg'O8f3&ĤWyۇ4``( Ѫ3RĦ) X9Ϙ=#Z_ )AaM>E0kO//Pf^=)&ۋxH֛"W|%Q/S滻|wFI&1yU9@,Yug>,!I??幏}|Z}0J,d[8GK 3[=' rVeV  ţ7WU <補29ƣhaw/_<в3_ML)t ocH]8׉D|jZq`}/bi8z@HmG^n] s5uܩTp/C9 Hpcs_Uv{Ҕ \)xB4D{`rB4#pwDr z(cgQ]^eG*dv\k- IZ.5WHvS(1 r8ƅKв?a-}aI17t;>FpSv O]{6d[*HUawr@I26eU?~C﫸xܩ+BD3$@N ti'EviW~LrX~S,o GcF{K;l5 ē.>k=w&z> Uj'b"XcgnDGH4bTb.b;l3)$}ܤ G S8~|UB7q-p!r} {MIFdӕLnbtQ4iaՇ4 ʇ+5OV/ v#UuFpjYIwLTƔK"^gȨ>/VQ=E~bװ= Ar>ࢮ/*ѯ JDۯZ7O^۹1U90,$*\jD$Ksyd^5^Ior=➴RV/fXD}NghNKeA△n^AQv ffh`#M+߿3ut..(o_J0\Ǘϖ瞖kP%#83(YXu;m_o}C?[X1{=HiOH;zhYuƟ4.Ypp@8-uR|r-&g^jGXiu &#'PVg &UT CzD R?q*GN!($I$KMC ٯ"L5W5-g $M7f f 9k~?ݚv+Ns;Mi ~Ԙqw͑L L5U_q|+>+A!$s4=%tuyE1Jb_z_e~?%^yky_2+缝ٖ^ N>W3-|Ϟ~by//C_)N/1F9I]ck-Szg-ٻ%w7]edC.}cm?KFu'VLӴM5# %Gaw3+IBbMנߢk:d^018T./ۥ䩺y?` @ VU G[CmI|jaV1K0Hҵ#E1R~-.Uw: eqe D\zqcӌZfykvv(fƭ[m޾ځT L}BwG'Nʿ:Fd6$FfZhW`vؾ`9ƚ!hlxHy8s?;RI~꾘V2=b@80rn {(kѽWHj:9ΛYV\[_C#ݗX iivӼ[oJi2ڑ}9qvz|.Y{8;-˭m>TGlfS^4巹 =3^lŏ~˵'Z~>\wr o``9\q2!/|h&n`RFe OQOUɦukmmC*&{}1`_;Ԫ?vͬB_8| ƺ ۤݶ9aN0g\sI 8h߁֏p.rņBA\&zϖC \%TAqrRYkH{xΨACI] GHU jc^aQ2``TJ|ӻ?)~}ˇ_:p^sté#Y89C߇'X[Rc\*ջ 4o.${C #y/O4a2a6 SujR#6@Y6x6WǩJ'ϪE3!ⵇ=T5Up8!CnrcS*#_ 9i)AKoٞln@igf%"z1R3pBdB*S&Rsv^CjaX:Sp/I$i}s{S:p  GԊ|Uib_Gr 3g}i1.dx3jM5BJ,<b){lbt9!q#9b$Z(/)4دɌBI/7bŔk簏^S,Y,Š'?3˵ˏ󶿽|?onCu@K40 D9Tt4gpL>;}+Ö-nsf1U,?n43ｿ|鏩^6U6&&wG/<58_7H/wwdo\Xv2"-c9u~;$ځNAjR;V8YHu&-}j}P '9 cLQ[8`9N$@eg߮(OhUS8s"Ou(wSsڥIVPc'>:xa0iڭ:yՈoyiJSM!, 74̱2rq)"R8ԩs,~};fQWiczdKm{"Ks:Eץc*]Om7`틾 eo![ P^v}y?|,c;P50pGAH{'SIK?g__x+T||&> e*A3M9'62Ǯ5o!QtpJjؑٳrQ}A ;k. ::eNn2] nq]j(sKҩClF?6+'qDG]YbϒU'NZZIiE*jHJC|X(a]d!rRgcxbY:]6_e$G"?án7HR_/9.ɇ]ѨOmw fP-RWQxxZe C+`F&? "¯P/f}ΤEV77F!{w(ss?q_~ȇp\Fo"}mL?-ƻ94xբ=ӣ7ל:ߘ^ chFfЁ"`S/zNp  c8& Ltۦ2O~ &N&|+;'X=3:_X^>˫?z}yf;.#]&"QGXs OCm\!1$?wb{n"\Y j*r Sղ5B7Y-fXsCbD長yI -@IE^͕ \F;vybQ^z(8y2't% "20J1 j9ZAZ=V(y4OJ17 I=QNCmPز{xE'CO`wMM7e71Ĵ eˮOJn뽈ZR85~ԙ>hPir1`c]`C# ;2 f3LKCpe4CvEkv 98%{֛fSPĵ;;+ !}u+Gb]yO #Ӝs~ @cne}ƴΩQw jbIޝv ([o#K-{~4̮F,\j/Z4GHw?N̝c_ם=XerE0Go_?ey+ےCn_71QFLγ1zԔ8RH"E7qc4uvA)(yr :3*\@>@-lSw Cy_Oqj_=wMeF'}ZkRD<ٛ4cI||z ,_8Wk)< 01/J/VW1MMK=FS@F+LZ1EyWMB 4I&|̪Gk_|څهe YVC\k-̄29wkukgSáuhmA~).buvsLJZwt`'"yf7'_n.w5S%=!!M'ȧm_>˟}/<;/ms~}ׯ4W# ^i)&huu{OVʞS6 _ RlxIhL~3[o,o+C0|"28j5CG!MF-Jsp@㸲 g̃gmplݗa\2FZcĞSC7hʈL%]blk13.w%" abw]]GS(|kkc/_Z՘nj&puduh0Q楟TԴ* &^|ZZULF&IIЎ^G K_͉ ߁31HF5?piNMgbVjbԭ8~E/_rUXQp^_8]HcziYV^|p* AmHSGտtkfX?ܬӶw%X]/#W;]ZBm '=myɯqx*0%g.ZN)tg3ǜ/[늓Tǻ$˴WJ]hmflʛ$ﺰՄ ߩPbХZYWrH6t]yIYe!n 2=Gq1&E98h?PwwC?[8zɔǟ-1*1P.4 mczVkXN3 u(2897?*o!SeTfJj{{IJ9䪃-nV!L-˭ӊla8b4#$|Չ>>ܙ6c>DR~<(ه˗ A6.V}~M|Xx9E2So0p  3QUݯp[ַ&E!NNjh$Řc,u5*gt.tvZuakёQ{3_ʹ->yYi_"'= qV壸Θ d.T nv-X:ۼ`7D .y!D G %50ڶH=xJ\Hj˝ۙAuvGCT҂t=P@i3qעz!fG92gRyC1HbI7rH9 v B>5*dr,ܓhpvɼ$g'J1>y%U in&bQV.y"?ּeio> #8pCfHHYմ:CHtEĖL` {N}+-7r{vM@T-Fy;9!Hd0'FUFϖXeZ}/;/oӐn/|6e> XghfYT5⵨Ɗ!ܲO(\kn{>͗ieXG#T:~p2aؘh@\/x@ٛNy 9Rv!djӴw A0%ODv~>\.Q RkԗH;rJ{CI=bbŷvT' _FIxuuN 4T{4$֑OIMm~1( bxwӈ8Ѐ 9eX~UrOR %MJ}QI aO8l3`8$W^sl݉p*Vo!i&9[w~NO>Iƶ{Ι#XGZqs}j~4_LLBKҁnMȝ8R0ayMN5JfſKЯ&R#jU>L9k ʳ~Ȧ =ZK($̆ϷJ9r4eM>J4U1wɹ B;iDzЙ62_0rvXTΝB*A@H XCw?h{'ĐxSxO~FY^c{A],CVktxn9D=e3$7 ̇Na凧"̒Rֲ)'Ig4hx{X:o:Ģq-t3ӊQ8;R= P!;Fy2K&`X_ӪC;"gua8MDa7>I\8V1Nm6~}WKٴ{~i9ݴYkΥTkW,}83ۘ!O9G{=.6ru=m_:\IĺJHW*1rY3_yi箇öܓ9gDx3¢:頾iۼC[9C~qҒ3E mԕ =g}9}@sۘT/hSIg}`0w$JkMlvH|Ĉ8I#ڤv Y |t >ĸ 2!gӾ\ě=2O;UHuD}sѓ=,VYz#H+kUIiKDpFޗZJ%oj*""=)i>}h^-Hߘ=C45pu'+VR>0kbPii^ڙGv՛B%j|w%<ш"K?甽O!&7j9]+iw31j0Zj9V#;79Nǝ̺sI>9:lB=>u26!zobMh`y qHVg+Wj' q䲝$mZzPSQ :[d衺ySGBuUm2zk9j+4xW>%\mMک0$:  uAY*L0xH <\w^} ԅ#cҵfC'%KmnaH3DTy1p&9PSa7ggH朢{Fpa][Q$tHeVfrgѺFcvZ< Acz`G@V=%TKnJEp% eiVO]~/b՝'d=OAP36ХB3*}*]y)ฉўʸmj+0̼ZAe,ȷ7sݸ#_S~ḏ2m0dg- A({[dž^P0u|yC>/~vyGf[7tT>:+ޟ&h:!xt 4B=ymy?Z~-/|"ZLֶÁL&}^ c7Ydsl7rsPwhq1 XNC~6L9[U1uLl,q>ς,ґ9Iˤ _JPtʡ!L51<:t4~8u12!h%`> 3?pEHyyz5ŠMӼo\KK۠`iu1ȌAiǭ= `*V"x0Cۻu)j- F8\p vIH81l{oWo& Yf eL qCUYǧFUCp\p'Rc~MZU&n%x> cwpI~2q'L^nvSOg[>SCwJ+XտWrώFu|zGo,_-w31?{z8כ !P1-Ho[㏫/4SM,> bCDʴ .좗 IR` 0@{Ixl6Uea-jRcMRd [WKޛ^W͛~8CkTZW2B5 /){7"A.du6Vcq߮ H4`cS*]5ٙ NnYkT7YUk;74@Tץ_U\WWV7;o)b;8w*O?{>Gδ~ygy1u3`_Zנv۽Wt(qNKp#kC+wo%љW[IF&ܿl;=kk?pC Xp=>ˎ K\3 Wİ)}٬XkПvr=ҧ.!MN <᝼ Y&`SλYC:9y#7۔i,WfJZ/o3ٳěFHMY$'R/=bOs`L —[>6y$ k~.ȍ CN#9Ӕ\e C)fSXՁ)DL߾[RўS=bXJ*0iO) ]S`U=)?ƹd5P{b.?g^LV37&ǙdIqM>=M$ϓ3W_}SeM> jTbL6ltёO-Vu9Or"z*{1~smwI|/;6X!T{W}G⏗2 Ny/T=9.ŵ+_ :-Od2{d wmrn/k`l0xުlOm6>|r^}o^6`x#srڴ-p'֬'I,b;?挓ى&{ahktBY)t1p%, 0TrHPE;_HI[WLk5$S S&juZiqL`f~X_: -?`rΉ8#Ԧ U,es CkTDߓd!>I3'TСZCs咺2ēW{0X|3vbY`Ao^HlYui)'c0i39$^),6n=r̨IumI"jq``cK&>/)ꐭ]>-Uϛ\ Ls !_}g1u{1t.!]1b`# H?yU5nJ0H?>gg=0vE|g^Xy`K%=|@~5owΟZ\oˋE}իSsi<زo%n5|m,'|c_3>8QTJ~ՙ,N7|+jUuױ6V.t ,]rCZaո] 6PuRnT`A]XU+Z!tF2!P~qUT!'^SMp9p@S#-hu}¤cьh<Pʪk1"ěF?gOBvK U|% " :̦ ƌV~ b01-8goa̳8m`S7x9vh~=egoF=~EBs$*.3T 97(B셭?w,B.ˏ(#\k̑5p>`DLia!1lCһ!Ѿ܀z;HG'k';+x޳%%F#׮, XSQF[gZ^|2(B8}qc/}ry])׾gtϗW)'OIC},1`_2gsyo.>uzE`vN7lKcFڡt9$T0$둶|@-T)AE kLȻaXoz>U'[#"0+Ztc952T$S\KI@Op]O㔙.IHaA`4f y١fWD lc0J<I치Pj%I$=Zv[oI}Ow7u0eazwh{ǘPժ'UؤjǐbN$S[=\RcYet(h=cBty)Gk$DKNgZ2JIRw죳pΏ*Z:t^u5+yg0kcp _ I(rxu; \ K𳏣^糙hg_lk0kӟfimý2\ǖ7%,/~'<NF3KOLJ/~{o>q|KGo}s?ysWu߾_[tfH-v/̌ΧZ34W_^>W?A8%H}^Z` >w)p|s;P;-4qg0cdiBfy^f 4 O4|'\ ib:ܮru -#š QV78X*֭a[l}3I ڧP̦hFjN~ # va#ʻGQ Y$v5:ŸvR0A"^s@ DL!"͍o.! `E0cDnw|P+\|WȁƏ9t.!I1U'2VI7`0F\`Y-Vınpۗ<-)F{2"tN j>s ~YONɻΠCsA =?miF|K",DyhsYI#άfcO^Iel7yGh4SKkRGِ=yFbRhR:pz9:v| .?= ʂoskٶْroy瞾{C^nbJѻ2NBc `kvQ̑ nT妺<=Rs E~#2βݒHg$Yji/qy4Eu4$i$yq @$A\~zz<$nTg07)' 4*G9X.-KM$K|Z < +xKZ| !HğVCQe =m0x5HN@\ݘs;R :Ó&fV N#R> y+Dֹ[g571{&u20ˆF.l\P,M!-.=>$L'-ZsDh퓗߄';9ńnҒ|C!s}L98&Z&ՙ.{G0L Wf^xg݇\42wk[/3 $$=t19_D+?ܧ]~ dy8 }UfOA\ >w04P3u6 P%ti5- ;DˇkŕzT떊4YʦZif. f>RYW]{Fq̹e@IDATWzUH/>_ LM;B dg'̈>}9քƱ2Sh:I"X` ŐD&Da^"8yǜ%GZLߔJ}`_l[ˍߧqXNO`S~qd9}߆Nɹ[e&bB2V@^`3t1.A\-7b춤Dvj|XV,i8A9c8kS$Y"\䮛ZO8Cz)$.Ef˓O>LE"iXps$_kB0v⻐#^|WNletXU@ W~<imՕi4U'S" tz@IX~z9FU\n\n; u1(ka/v^?5~ِ9)oYT㴏`YVd'ĊҚ+-#H{Hh0gm9GLSI Qx綾%VX8Ѿr~4nEֲI*71 |$nb$1d"n&=\XZQ5.@GNnt+E>[mp݃wC9ԆfI8E o^Iz$/|ij9 ,zSЄ}Zɯ6hCwݥf)jw-~}7^Әw&o6 yIkybx1F2Z,Bcr F}nl#ٜa5zWg_PO/G86P/@PSR1{yKAX)+M? I|w]kkm*Dߎ}Rh2DNNALOP}=*{6i#1:T8䫾ob8u JU,h`QF)|dZ{x`'~DF~e0}Q&{Y}_\-,"OKU4yζ^ (ΡA0Mqkpy^>@CU_W sD=k2c}YZ*=G-1AIo81NlsnQ/\|Q*F䂼ˣBig٩: @, R_H[QH*}ܲF:09U8AKKع]ب^g*_ஶGSߗ@Q%^DZ93L !]Dg7NLUM>*{$%O82XGUe" sD k ׶u`pRMqTv*%9yhH2C:&]݇󇀻OM/+FA;;Pi HѮ> w H?몳L-~'Z:\D+hH˘ $Yɞ yfl[;G\~;ᩘ\Rs&%A)ؿ'Q|+[:`နo2#3<^:= g3?_⦕>J;}.m ^U6cV5$D>|i@3,BN0]y$tvc t;=}&mގup/umO0V'o/yA[|C>7|cgY^@ͺǩJFQcag8Vsgj7I Kv:G(AڨJݧ7mC5jlvRZf_ShK8DÝH&l*عB pԕ{W+ܘ>Uޡ8B[97%U˝kQH:YbM5)"gX}s J!i#Ds%&Qe+/M,M题sڰR >~n7ro}?'ynCuY_Oriè6?I,ȖȵeRzn1#u6bxg({$[t&&pߥ{$0B:o$ c,^6&ENF}S+$b9K-aisǹK,)m1⿅!3:t(TW`*i9GUTD9Œ: 1C2G9UyDa[=f`^ aҺrF/b3Ru1#4&u؉S|k5]&sM#B iUbkAė2AX̡lrkQz$sfxanǞyjծc9?Ћu8\B@; $d-aRkogK?61~#믽<>.+snΥ=7_ݩ֥ $cG\|j :9-JuqIZHnm`q46'JTK]ߴng0:~GXtH*ބ#R @}%VLJIڅD85ɳ-6a8&_q-|Ld%= d̃;*?IY3gcW/:C)1$ӚJMAc H]Ýko>I$~nKR.6<4'a-[TmLwhVNzBCv]̅24}Q Tͥ9uQ\C &g䝊&e6Q(MiGa*xws* f8̕sCp&F83G\  ύZ\ 9}`ʑB DBuS(9J8,~0L-drl\0Wm+uxrן0t%hUsﾒlp兏?^<;1vy&^a?[gS9h=5Xh1wҺ¯j07ח?e+ >sm]>P.:?sVhnm xj އ3.ȠukPUc)XGu ~@ 0!VJv@紆=r힖 \Rkw9WvMOu+3N~lOG[gI?3<Ƣuu(m,xAI hdo8 NN븥x-&WsH- ;I:vrtkIRs)$N7Rʍ .szQ{u}4S`tA0TL7uo$=0݀-?psq!,ڵr0\R9=gӞ=cΏO;";o1_OwkvY{znLl^$^C I9( E,CD"HɑEH !$Eqlxl3ӳ}luj_wuNS{/}=]"<_vC`2GH1|Z=EZ!3D75^l732&i;6gT?> sHeD`F1GPDM!S% fVl91mE? ]ϔ˰k0\b4pxVjk=sS38{٘Wx!3$wvSK9wVc#)%y$Ľ麷/2C?!:nwVɎ[*\ _ז\jI>jڕ'O\5DIl$P&R|r5iXGw9c>c5FU9BpSI/@9WܔFE?'cSB\a8&з$$WSjKh}>E=HIt H|^z3^;{MgQEVs+MŞy1vQtUZ&/jI!"Gi^^/ #wjSGn a38h%d%sm"Pc#)بEK̎!fJ;}rИpn>߁HOO1^Rsi3hi7uPZGb&QLofmi @r81|֘,DLg1bZ5Yh~ Y yҜҰn tC*s_ j4'7-ou{_<-{./tw { _6i=<8Dx[:'^Z>2+翼oʉ!=D%\:(6zwIO.շ"pWSVנzHʭd-;oqVmyb1_!u`E 07NLfŕBy >Nzy}Sq.]K(E@qD߫u_.a԰HhG*c US4fNB Ϟw#p'A{&~E}{FqD/ FU4zǡ[3QЃDL t) 'Mj)筧ux\Mf: ?!֮BasĜuKʄˇ󷚘b ViM6pcb> ڋ.]~?}y__~~ח_.ｖ IJWgЍNohLr.yiJqKbⵖҔBC X1cG`O<N[ZSu9b y${C_kE|OStr95ӗAo6IZ4> O*ݐ=31 ki$<[1r5 bH!OVhr;Y 1ږ%|l#9xEӝ:K߹E:]8pDkiȭKz`e>*..ߗȵZ7{wo_]\>g>˝峟+_^n\=bO+7rE?/./ůxLs3]tnWj+ RU4 ԩ9/$e:L 1ɌDS&K!":sd|֪6=3f-bռtEɕXO{I=okV)͙ټ }^9ZW}fgyG؞zk^f"5^} t3R=k8>1̌ ~9-c_2fk#r0 š_kw`앴Ρ ^%I.sDҐ3E*oeuvfT fE*0=!x~y6"aݭ#rk)>n.C0Żq-_wkJ~+ц=3Kw?_g˗}}@ ֹA$>yKa.CseEX88(9 Q\9Jɖ;BM5oʥ osR!\b]I@$; թݏXF^e.9)nHAmI-RL:Y*T/\}vΙ%2pGqk 3U6%s5B>7 'ۀcF!,*bWgԤIȿB|9%rdm)&f4J)cF0`$O[W, aAv"\dH+57p7u/ YhGE -'4qg)g;O">O#Иz:Kتz8I?jI1h!4߽1!z)SoHda'J3-~Y(u_g- h1-zҖϚפ3-@g<@ݤjc+~1TgܙvML#Nvpt#֮7|c:݉y 3y'D,Ŏ5=r*"<x=f65iKX:\ڬ3/O=~>c^^9#<>xiu#w >ӊo=ݯkXuU=A?; tw[Y~'~zYS[3F2`v;)SÂS!t,dvb.מ8<]8t!hjw޿ǡR~3U/1*0tgWaF#8aC R5Gq:j29σ9N9+N'Rc(jэI *EJI}YO? (.@$EΧFĨ!aw4NcT595g)  A0ynK gM18,]~daBn-izlu36\tf'1GfeJf5D5VkȌj#}-rDOD]FAD 9MD%YWL2Եa"O1A0%[6\5] seǵk/Y Q$k#șaĻ~Y8Gru_83f>prܕԽ9 װ{Zμuk&ߥeGCc9U=yk#ğ?;v؃p>Xs #B{C5YH_O3 VT*\61ٯcpcmP`F إT#Ikhɡ'j:ذT_ϽNջu{?P(됏?}\xi9)۹)wY7y92M<Ґf=3"4z &ǎ BN(:EĚB$qL9XC4BBBPw%I##RU{&fobU@CU@MgښnL1*n&+Tf&Aek| Udꃑ$%V:Zy͗P)G1cxsU{OR^lO%bp5d1gLQfͼ#恿>O44 Xf`2XC"6{guil >o)5 [^7S KEbjy zH  {v2{ ai9dkg`9um /3KKBL2q'uF_L &f9v&ɽje lŽ콛46*޼<~j]ˇ6ZKh)ۑ,Л呧Ob7SG\6;+<ĸ FY+_nh,"˕4.vrmr叼2ZI΃8)ܫ C$JrKLK=OK ƗխU 1%e:Nr:fw/O.vwyrGҿ13#"09Nqk3"lO҃B El1=E 3lfDL kymNk=vMM⭦6/d;TqQ!]IԜV!ja:<^:eH)KouԻ}@j{ϥW$広 K G I ٩gRce D 8lB3T_"dΰO^L$#5`0OEapA̽+qzentl ≈*∡!2s'Ԝ&7K|q+7-hRw}̿U#3Vb;EǾj.ͺ8~0N,IXH1T6:3?>V bv0T*Ċ8+3w7KC<3PDJ6Y|uH\RJ*Bh@wE{cvֶ\ w<Q*oL5̠W[- crnjk<_Z"T=D5>|OIRuVw}gvϟ1 WF]p&<ⴐZT}V~ oɤʷL `JaIʗ$ qc&Zwږj?> @I@YG+cm>~1L~pgY7 劳avrUJyZřC FW: id}TwÖ A9U%BF%rNjM托3p*P#({T*)Y>–t Isv ٛ!3 %h. .' kIDEKή`A4VukZ];Ne3N4P'QbIQB#n[O[ +>Qzȗ497{glmۅ9&˯- ϩSԯ~[#@kT$ r0Ť+]E> OIF.[[V3_Hmk p1$dFX~ Gp8S.yVkz{NBZ+2"L~ _gC 륪#U|qNBE5^zLژ4!]{ LS YG81t*ގc'@lai+dQ+;g oơ49Fc/ 5i."f(F =Dg` [kݍYiщ*!{ͼ|59vMv]G14u7@&7|ԩd91{s}einw?;Jj;>O<uI^WI8xxs qn <<^ְg?:k}[DM|W/S㰻]_U w:3)9hLj~ j-voIzN)Qլ侵芳NGq~fUP[o cF\ַ o"aj \X3׫5J)^"(0D \("׀C)3h3[lk* RHlY:9ѝΉY*_b*i蒴&ed_#1Hڽh ˾reWS%baf;_~~$_ `@H!?%%|=TMLܘ9믜v) yn?-^ˏ???&eVMkԛ!z趞 Ч/=pNxMGOby֯WQvalD̩c,7~#ƅN-.6bOa\_‘{|zx+.Sð64(TI3qD<3HHk g R/ ŀ'PB;Yie (YutBS+y t{$=Zgy!{jx㸠yTEB;Q\3IKdE!Z 3!!|'@cfN:f<+33Xx؂o0m% tD33F5 q"pU3_.:h* ^u[^ec(10ZU9 ~BTGc;R, u͞ N.i8Z995"LXvgJL7ڤ+q5sa%.&Q<0xѶMMN!Ƕ̆;n3巒$UJ&~J@*I1j7P :Ճ='if[CQIDWœ kXl*wp{9Z,*(Yeb.y3T"biYBX:`G~r;>b< K).ZAAs glBbYKzE>=>LS]H E""π{ 7PL8hUuW2!1v~bפ>nhSޟf=l/Jsx9.D١!Vٽ>ۍH\\ҙ!d1AgܸA~-:.քyR[WzPGSoL3{"ȝWxvm>ip!{Dbժ{iuqӔ)'/xOwÃ{w_[ x[a}t K0$>,ż`i>G?| w8r*^&ƫoy& 9E16XU~B/UJ̻5ڏU_C$UqHY4~#'9f%v˱kOe:l6XE /sJr٠ԙu $=޽xvjE޻<əPx"Ļ$Yw|Ϸ-|_Zr$(3491kr0` Hn?+u5F ]t ˿e MF`* H[ԏn3G('b F$Um0^RmP2!r<~'vj:|z6$CC&!4 AoXӔ!}l)wjGQ[7M(6FpW*eN|%.enl[d JwN HtMbl" M^㞵*NBJ$|`d"5_H@hص5!;<LV^#a,[o)$˘}ĸWjj->>6٩?ɚ={DPƗ`i\:K\_{jLO2f7+aN#6=3>نFGcVE79+M}F")].uroKG+|\CȆMw^=kr~O keg7% omDQV+j']}|C?w/on3984cѫ=mMi{y!v$-9w4z盾c6Bx|&kf] #W ;|^…t)Yyop^./JpJg?v.Ɍ L|t/>痐XR\bK*b{:yhR@qW/#ʲ; 9Z1-!=HT.Ӻ:<^#h ԲȵsSs!1՞Rֵ,Yzmtz?OZ0Ch ~GR,@RebYIR>Gm؏)!Ӑ>GIíTC@!^cpweMKo|P'Z\bJcg]TcvrEi+Q !/GU)1꣙w;L(xdpCq+0a:w;a>:[aౖ/n2E0bƸ( y|@{\lGc4tgp啗yy~𻉖8ynW4η"XyN+Cp06ybˆ/9 بzjDI_!!HyL"OD!SVƺ&2'ߙqcxD1OpG0>z"˫^Yo!֘|ٲa< mؽ{ )S,3u}:"{>k\f@IpE18b u_h*L+B d<[17ZHi2>O~S̼zo4ʝH 469u't. a\]8ۊ`!*FM84uHe:`~>`d}Le^ <)Ug`4n7_61d4<5㬣hcOXyZi䈮0Mwn. +g? t~ݦ,u>'rRBdx/y}7@q,0:<"o$sg/Cw1I0-@Rz* Av#]B@/u?| RlrdN8 `CW¼ě2wC"pg_ h!FWkvjMi=+r+晐N_RCD,9R$~Lr+tej<7 AJYRG 7Hrb~O\l`8'4f_e!U,/\Mc##kiG_s݆P` C0r#veYQ|I I 3))8 fє/pN =>\ڝǼo׃W$4+~VڳuԫĀ!tׄ=xުOHAwjXb!r*oš&HbҾ"O~1.лwވK-Nr1ap3ȼEKB=ē(m]y@q@u;I})'PHb812 d3fXiَ>=FP9zcVB z;(dX4>j skJk7l1g)rʈ=XgfTgp^W5(vXt^o~Er|* ^g5@vtZK/~8_滤IIG:P~\COW;Q z-%&й_{4gxiE'" nj+mǹ,&W(9~zIODTR%5c)'b5<~p5繶JGܵ'ogDӸڈRRC#L%9vNp6HU)/b8Gyi! OhYo*G{v qdhcL.<ǘ}|Y &WBPps_)ĸyӴvXɿ,O:@ ByVk=j`YM6{{˘e'H 9cu[r0&%&TKLBtC!QYGRXlN(L ^qэ=`Yu-';W-\{ 3{ %euE=*#_a[ji:-Gλ]Rm;T`S,D=3ԃr]WYlB˶>i=F'~cpO#=w$qM?`Dx hU{uYV9*h T1:LD^Nآ^S"%(F>1bc RR=>ѶJis&}szD(9IBijƆ=gG';cO羖9TYh'bu1!&w~&'5H*1f@2^iv ۊ3.%]Վ,p3b[zRvmE>N|l2c>KWRÁ7mΔ*#ˣUu!;c"v1m&ʔt[Dkզ'b?ܜ`J%Nmk*MBH2<鵘=8piDTi7}+LN+f_ نg1̼KA>0w 暘aTο~q|^ \dsL,ƟDǸb~}~['8+8@>=ӓAr#XșXj9ʲɡ?VZ]'6J΃. )кS'Ɔ,h&.zNo06bQ*H.8P&9R5+( eKĉy0'U~mHMwH>-0r %`Lw$"ѥqHєA"60,ȋ^NLK3)VzۺkH2z``tgjHpjITBe%B.`NoclӤؘ@e~e'3S^kix;֖ /k,ʾmU1aLU3 `cΪ%`r7n~JN뉨}`TB[mҰb"IV:S˞0w!Bs8: 0bǤ<]\B̿@djPu5gFxu\<*7R5F_WIcY4y͟Ip2 3J c bIO?i@r=$K2 ^rV|A[XmzCL+hl;k ڸc&0p9SKnKSz }-ɔZ[a~>b1DkċJ@يyq^cV6Y(үM/'/֓[q>y::@GIɒ`rwy1gD* >"F3.XGu0(kF.|ȝ￡yR[QF1( WEw<3W@]ZgqCqv-6Pnٻ*k I+Q8=ZWx2ϖ0QݭJ[{|tG6vMJgAQ}?6Bp>kMxډsB8]|@&7gQNʐ$*2/kArC0u"eeyxw D00)$܆T$o}yRecF(fCˎVxՖг*-VsI>m1=4Xl (dh]I+^s2Bs|o`',Nb>q p "4^N8܏^~DԻpcϷ]_8Te!?]30JZ+<֜U-ފHRA'dO[@>OQ09UxQMpX"<аHWm|h*J5eoshG8^阇28![T"isssKS~ӹֆRz`Z\rХlX㇥42Q^(F580VMVALtҜ{WA%) 9 :MÈO75֒"?^N7\;NLFCq؁X܁K0mŠp8J̸!0={^èO/PۣDr2Y 1H ?u9s Wڃ##mc!& 8ELϖe6"<捁W9gνgiS[K%d7qfK5 uɓvF 9o0b2Z#"7쭍|5bf[ V طLH"xc$qӼJ6xBG 罽%u$ vWIa}| M3M]P)q=ϱ\>ôU{(l]4{|5-orzk'PdBl'-ZTz{N궠<ӇB 9_Ȅg2].OܾApEn"I 'ɓ<1GZpG: Dp`nSՆk>{xܚ~9qZ9xRY ,䛢B|6$ |;\bf9kL`dogo<}U4jj ;^K~lLk>ҍOaiD9m/⼳-12P]%,AhsưcvWh cѾ# ƛ0hZ;Lb5TbLig_שc,ͬh@8sм,M0Y9¿J0^9*|w"bVTg7lyue_Ŭ#:zͷɁaԓXI۝h#%XҥO}ϳ7Dj (4㨞Tn=?’qZ>wj-%i LW#~krn:6ҺVhQЅ&׌!hm%t$ 9Ak23 us'G1n9V{E$GL̥@dH!*V( X_|U G>̿}gP \ci+.aȑ]@z9u3>&a(cחZ6pS`ScEX{tFe9,?"c\(u~e$Tر˃-\:oNѱ.UF qwYw`æ.*>g D޶df5tas -){&UkCs]=Bר={1= {Щ* SX\A[ˑ9 ğʞwҫ˗sMvMAzwo`Ux"jEup$P蔖B`bWA99_-4+%c[54vyˤ[OLבP)xᜍXs<fZ[gNJ{,4{ &K{1i`\07хEy>7_ 5ݩ=Υg˧֪&{Wa m W}.]}US° p(c3<Y1:)}ݻhF\oGۈ֗>Z-.3^u>_~臾s_ v9K2^H;pS̽/@>7U\ 0{@qxK^r.HBIkt2?&s^d>d.9cFb<6H --S]l73Sv6'{k]_xEjbC6q˳~Ӏ_QkOYE?$ ^D˼׾b{sy _^,E*`0~;oÁ'H/,'M4]܊IENDB`ic10.kPNG  IHDR+$iCCPICC Profile8UoT>oR? XGůUS[IJ*$:7鶪O{7@Hkk?<kktq݋m6nƶد-mR;`zv x#=\% oYRڱ#&?>ҹЪn_;j;$}*}+(}'}/LtY"$].9｟%{_a݊]hk5'SN{<_ t jM{-4%TńtY۟R6#v\喊x:'HO3^&0::m,L%3:qVE t]~Iv6Wٯ) |ʸ2]G4(6w‹$"AEv m[D;Vh[}چN|3HS:KtxU'D;77;_"e?Yqxl+ pHYs%%IR$@IDATxLr%˖m86YdRr@ K8"| _g50sw87۷ҥپ?/..Wu/./;q}y\*wPًUm_kqu{cիƋեg u^<_zǻwrxui%"uQ|yp<>FNj!} nooջׇ_χp>uWk<_{RA#ZynL~W]_^~Uy_\>!ߣobJ^W:yQ`=MSE|.75 qtń1mtw}| ݇/>*xp_!7M//Ȳ%q,E݈߾S2 %Wv^i!.tg{}]oUR [b.&r?=%rs[ߑQl}_BmBu_?6>}b+G?|yp|ߒU-<^Fʯ.Ct#Njhwv࠵Y Z9@`W/_'l5]%Mn//oWd`X{<&!\vC+'=}cçϗosw}?N< eد bv?}An|87UŖApb!T'3X!f'y @zu3syp?J;)uUG.]16kZbkvl_E3@_|ypCU=:˯wqt~ b)ba5|s2iMk-~/?>G6'8%HDe>|}KYM%\)^]woɋ>$Ljn G>\ÿ/_]e1ߥ,ba1ׯ_s?ewo^~=Shlo}]~5ߟc ~[uU{%9..O|ߓxo/~dO?^~_|Ku^'޾)|vsu?f/o}7˙?nf)wok+۷/f/.=+we /D;?ɣnfAʹoV(6_ cchk\)#e1Y=ޑpj 2!+1%g[%2?de;WB]A7abC?QK?,z䮔Su}F]J>F5X/u*?)Vomɹt'R:S\Ugі=;]O|Q&.t!]US9S;Jf(dY˿/šbCqի*5}R]Hb[C߫},LJ˧Ņ/doxWwr<:̌l˒˷c}Q?nj/?LU1L}/=;:{_kqv}|C_Vg4}Կɿ 4e  :ጞ_MRlbMd7LvxwySO?w?l3ґxf}az5ݹxј͛??bmzI~h?~r{o.+>}o -c'&s َھ|z}y]?_~wͻty%=/r֟^$_-pPI+Ɏ?#vOlT)ar <-wt&sppj#xWtz2' 0MSZ & C:Fur/ fM`n"FV)`\8&mɀlTFgwLzQӽZM-8Rv\4HJ;~A3ڱvAc&G(+ r$H3NF1d60f;x lzRW0ΜBȊؓ7j I6L9{ 9U ֩6Y$pHr- Mm#D_6.KL;>C&9M˲ʎsVIrhl ")@+ zĺ=D~&ؼ3I^g~8(4x[Kοĉcxf0\'aWu0&ag&_N.\v$< D_/L݅gQIouL 4nX|6蹯#/2:bJF~rK$c;1DdXϾ9J NqŖu%x{ <Үc b3}ҫP"LK%y(h\G}&~/>eoJ8%1Z"Aޠo/%305; sbb#xlǤ&K"UɷwYCzl%3߾5qd1ȳ`7-I9<7 h Y| Аcpl1!)7ӏ?4Yr0PMC~šo:e~&~xfd11cv|m`sm C>(! t7r5K1䧲M|cB wŗ߾yuϗѠ'M]2LFzdv5E<[L$ߋeu+$ռnJ?Wp:W`=6M>Pēn&6p 'ȏ;%M,E˗=ğHn]*^xy4V/b"0ߑ;qGnCd<:60}ܷzo"g_HYa!7Z#̷d4 hA%!YxL83^#S:= ȇʱzh#4B|dJ0N*=<3Cze~wn&.nxs?F"Ъgm[2a' o^ݭcJmhA"3X,ﾩ/jǩSdgWff^Pѧy$h1CK)DN;c/`Et_U@ٜBISHPpeqPVV9%6q'g'?$&{W;v:VOg\!1:dYFI hztg3#xvn}I-qkɕ~HEIdQ}*jT2pXX)~CnLCeq>yhV ,I4ZV[zY{ݤ%1(ُtN;@Mg: ᗟߕ{6MH^'OA/ `3xO+mv?Z~"gW~Ǥ۰3dW ԾIgڿfoWߋ]a7ˌU7Km"ݾ vmdۯ[Eyb}M}N%8oM(?Kp5M"S@ϓMĂo{ /ǫ/~lv4PUl4Y_'pzdO5 zv^le:VupJluP-ҹUjVYDjY2X]{bSI_C1]bՓC+U؝GsgZo9Ws ,\x3'^OK~O=mn\gD0Y,%v!n %ٕx̣vaϮGkP8WaT1g+|c0dXS^ `;)Lj.; g*}B= ;/HvTx`Ќ:z3AƔ|#Ђd4=bU,C<܇R1?MKL } m]G:(c$Ox !Ӿ:Vf ْOf} :V쏁>9ש6]UDrAd :2II`Q& d{>  f@ d̜:͡B2KLANrFn':hgU:IOJp6`g_^jQHVd:ғAGa#6Qc /e#fTg-%8)h!#Yt}>o%glS+|Q姷.? nŀ/*>uN1ɭGvEsjX}&bӟjPXC3ʚ,^=/ޑC n\nwѯ ݪHn9}p_;wMؘ겱MZTĒdN~C<}a9j^#ZYJ<&<ݖW$'`b#<ÁtGhWAJTP*5ܧ _-bzûc9cZ&#._~md]&ZXZ@zXv<~FE"MeK˟%y%::oSX|yY%Mn4!gV\O/[KF{0Zan1(gtvstqijK[Mpm v[.,OY&U..2䱅+x|R?ɳ[RrC<`sU[_m= ~tK_w y ;}np0ZUV޽{<++%~ 3d1MU3rȴz:ꆤ xp+Y݉w6m\De5n廕yvE=&egH80|[ߛ~Ȯvxg2+׈%vN؝?&{{; ?%?\^? A;" x1" .= ;ߧ* `;ˎaQcgܡ _xT`Ll"C5rz@AlXtĮ MJ߶r3^0tOAó-W$b`&H=kF$,9 f!8F bG#yE7gt5IV|xqhJIѦwluc2t?As^ `m5k{άfo 6M0#zO>5IhR~_ѝxɫA 6EC=ㄧ>Y=" r_j[&hܤH| Liƛ[M&TOxpn/K*)xdt `fɫdGFN<>p qUQReѵ sBC7f %xFѴ-Yvtݬ]+l- Ez DZ`D ok7WЉE6Rg KgUJdV_6mߛ1yf] I}_=&Ʉ@O袻KN l÷VUza T;;LZtOO?Qu$P봲5q+U8 4A^ h BbX>j鲏* $vH>XlLNBK C语ަ >73MVm1p/|*>l5G_"Y6c:۶vutE~&C$`MP2 0_sM7/ M|!m#Zʏ~+ZV?>"à  If{݈;s>sSj]+KCmt;;&|I~S- o&ʾIĒgY%W1RLȿx#s4"[ ɉh.=5/|#k2`1. 7` 9PHRP'' {!_OL`p+zux6*?xo>4]z|L:ztn@/o1@l~&ޤ:ډ dO;Eו=0: s(slVl%:N4 ǁ|"ec`׿H`VVeCRew# ح|IC تoqSpec9~,XqPcoCNO6KˉɃ KM7|옏es߾|(oBNJXk t Ț=zUfljO,_$G8ŃxeP܇M(|ޓRaɩ&SE97g`"io2_r;-uj8ayPZgҫg|rxNy;՗p_gP=Z;xAo[/;z6GzpB[^47sȦd@ }ŞTB<5&mrFlckXa K-̀@y.:du8aqsc~! 3;+8L:?rmlf;m>ux;bD粼V+!2a,xb :Bǿ{%?K.\gT/{j^){$%yd}rdK꿣^vd䫕}w= ѤDdvml!$5U8 \I{5:=װk\("Jq  Y}]¾n!*": f?7Hy ۗgtJm#˖ Ů/=g@]U%k]7 Ų "ʭve%&.y.۝V*̝`RABÄE?]7X;f&2nz] <5Գ|N$p&xGo8mz{~n=MkǶZ\KKΧ[(>Fw_,}4囷8~W+dT%rϟS6=lÇ-><_r_.?^p}xWml'«:lwtm{/Nj2w6X=xLN 18K’4XͩG{ Ȋr" {FeV$MUG c⤘'2hOfمG8Tzѳv/I)FV۲2l||cD,Z!Z2K:g q:#)zN5`=dyRUWv%Xw;bCτUTIxJ?,Yj䙄`Fd218u`9:4t]AAW'}1]=[,!S`75ķǟoѨ.;3!`; O6Խ&t5jX쇮|?uPiHN,bf nmu6of˘3V6ȪPWٸ)ħw/>6QyW @vg>:#s](k1_ <٥_\:Xv yQޑSKvXNnaO=l㘍aMvW zaF^c2^Zǯw6\š1 <]ɬ~$ȺlnXC9_I䒁^5w>Mky y(cA?o;>U^o ~@>&*nѲm1]i=c2g~ 0qPo+!Wrs]|~/^V^&9sU?ng'qrb5!;70B c27PXh/kիV_r^]>ݼ/[?6ɴ #W7ErD6-H(# +C~G׸xDMN}L~Mk $}v"뮯t  Ǔnsčt F'/בL.%7̰3:Q:C"q8D{$-DƎKՐa S KyUS'ZĠ: GVg̶ڵIE:sˁ:$SN ޏ'xgI'Qj6RyiR+y1 e/[/{u<>۩@%__UI:O fm#mb2?{ s/<</t&Wʼn%>>l-~K4n`>-.|{"|lK{أnݵ̀+z+|n o2@r4oЇPnJu0It&8fqvn'z*SOt0'(-2Q@|0ixwNT~5@+EI g(c휳y09}D&l<Cd-/Nh(O÷~Jx?9y܈ޅm\C>[NDDSf]"}hU&?w$λͳ=;{NgU#H\dŤD=^򻧼oԋ=cG&1r`q1NsO4,AeoՈ0\qslJop (DUy_z$d= `Ȃ2FL&R'DsS/Λv^ij׏Mʰ+"b<;^*_lH8p=`nct=1*Xb;ȃz>/Eo/塝>{PՓWo|#_Γ`!b .9s<ѬNpIQ2ù~ih\`I;u)r~,/9\ !>uxc,Ilmh$]wd xp2*S kH1H]m\gQo5(:saO0 u ,g٢q@Ք<2p?Ʊ`f͌'NE9T^|-DÔ4LyIv,ۇMMNv.dX<IdpL9LedJAon =Ode^Hs }4b9UUnu} Z 6Lc4t4g" d zΌ-Y9۞T震2t챂{9V䳕~ Ya%-daȓ>pIFam1mIj5hjFkK^VUpWBB^ܳd7td=|ol<øNVoK+{ON.QGuξ& #H PWRu7:L.o{I'ض>6`25l2+ۉERߪ&@>&+;ȧx9Gut6O wݐt(!+nx7}uW|m˵$ Vfq׀M؀4Ad%I,8ckw;66X_v &6)+s ?}jDI`ƛ YnF^!nKzz՛%2mkMWΛ@:39a6oI^=W]^߶4y >WbMxlBeg+ɥi;+62iB"#姞)VlooPx:g?LJR48_=?e7~ŽA$[4u:}hkWω̵6_]/4?kv{`I8oL-&`右k2N,2 Hk,ފ ukp$^b҅6}cW:뚎 CcdP{Հۢߗuk2푽g^P-<rys?1apޜ4[ BQdg'1,EuўuG2ti"yH_7Y;?LNgfW t@ᕬGC6g=;IjT.0t+ &!6PV=%kR6DYOȦAd:92wMwp t;>eULlxIp.ɜϐb/ȢfE/3E@q-[5̪ hU;5@^AjX1@q%,wfH6O~6g8Iy,1}KG( AU$+տOigvc"'cTzϝgcjp=~- v9?;PNy1CW<.tng5\="՘fR͖lm9EdSВ~Tk?g[+~|z& Nst5o$2py_v[L}U{ ,r|vts?1y>N 2/A4o?Ct9m2G_ %VZNv#,Jzut/"^*̚p,/)k+]GD^$&]Yo&<1Z=V߉`+U, L_ŀU6:39^D0a޶&u|v>S{4Īo@Hf3rfbJOįZutNo? ! `< oj~@IDAT4ÇL2w2"oHJ/*t{q>(6f~`q ד%.{_lek2C>V{EhEB/r!Gز1:9]jo Tp]'$!3;GKp1r]};om n Vy8jO>~9JYr&9$O S.@E z~<$}v gI7:3_ gS};Sg#} O{_%21-+D& 8=g0r]"y~:KG4^5NFقd, +)ˮvrd<`B\WIb?{. !}<ڡ^ˡsf^Gy:U͕Fv~qq ^ۚ.ۘP˜<,F'kK7HEk(;'F`9f7ɏ ׀w~AYrcx#ڳc˴Lңy-?ɤ\N3p5y36 A|`G6aEoe^ĿRGβt$ ;u)v/D,N{h,^7Y.nbO7^s `=2<.MԿE5tH>t8w|gڪu|x8u5#E<,@y>BdjL}V n 3Zb[ 41xf8!!%G hОM7J\rNlLnV[ .Ɋ X<C?PFv,Y±Ɏ8fA'%pPc: (lkQ(86H_͠Mɦx-icgkxf!51Gw bQ} Q6ZڑRAgl}et9jN^08<`mC. G[ž¸ <с՟|#s%HKv Cmg/mcSlMHt!7Jg&^2 (I g0Rinu+'!ͲGg%VdN*ݥMք{gC^4%VU̎w sr5?x /6uD "O{I\FvʻۇIӶ ) nCM勝$mb 2sѕMaw%`۾k'oN+l eK^Zg;<1H߀6n-93}凞_Uzoe*:߿3<&r4gg >ok}ϛChuCWo9$f;O/g0f:=I*N,<j[sAYfO w+׿^~{&R_~~ܢD-&cث})|G^n; dqNnmOoTJhK~&7h}zG>0b$H!h9k-Gg&fsd , C~9$_Tdv6,VDXs,<$AH!=?:+ηF{K5)[;a<䖖/TUNR_qsgrLJ d2;ԵY\ Z1o R| ::~g:0tc Cآ17) AmlIIJP,z[GpceC-s'' wxf*p_yu'U;4x>CurGQC<|c%km:f#vl'X5&wN_3 cmkAxV<^ HUn5NS4q(*.|ySB=^kntbE3z ;'vP&8 ĶU{Ӕ^ bvf{F1)e <9$J7蚂?b`+ v N0&Gvd,Idy =p~ghH'yyvg֌=>,2yB;@j0u *N1az n:3%OOp).i{2mV¿+ R`iF1cKor(DxئsUNࡣsD'o/.?~* _V O&."\s[h8?z X=z.=lK1wul,۲>bV&&zW>Ui"HX^gsomỶ 8>+ޏSQ"627Ei?fs*kpɫ4mq'/ˇ[ gFQp%;? hL7t1>*&Ol6{)+d,&ُ\9?v IF2Goo@l7{pqC_!Knjy獝OעY (?Ռeriԡ֒ar`#&9BȗDJF5.^hYIc )>ɋ%K4QAUv*1^& w8q,Ge{խFο1ul%Go%׳3g8#duؕ: -FO : f? AԂ_L!yO60'u|q[u1DXR4'X311( ٸݨv7?zyٿy3Ao~CEҹ:׽7 [|@tC_%;$#'턎9j?)!{2^$>*9lODb [`ѯ`8ćk*@ޖS^Ytf@O%V5-Ti)t0pw0%PׂV' Csp&['\i8 ŵ+8ν r4YV$aetIp #`iGǰ^9~Gģy mk(hp=2 H鵪 g[8@hRcdp| :tB(тo4M#Wam~)G?sfp1t9eV' $%[HgՏ`Ƌp%H6$u^3d5I15R (g҉]vhA?\mC lG6{wifsDe&&=2|:xod dR[qT!M tfSw%ѿ Ndm/ҋX(I!X $lA67 3 %hO@xX}왕%K/?l6[gN:ϑIعN~">#(>z̎.rSػ{=spoUB-W]ddKI&J4 |gAb`+:z2bWl1L@Er7 GƸ%a}(4/F~ d#az:ٽ@IdX!%Mv^teK"L&@=V{I_~e:`mx9$,΅MW+a{~+ޔu߷^z&!َ BUF7I@ {U^'.N^s*۵^ ǧ^?ڭ{;2${DʗޞLɌORyop&ok=h7,>I# gXL~ؙc~o[A<=Hkh1@#%z`e'97ɟG7`Hp>~"pGMwOO-}Rh;3T@9GVcMkVԣF*m5k1P fAD']O=鄵!]A?R7YG|>*M^‰s3ؖ尧/'> dNyGKܹJ>w>\!oYY{Qo]# П[nD{;_G]sOG\dU[=|{v|)ӘCy=:~ ÕgRP;iѓm /CA7 pڿW™7!zrW&3T Yp{Fժ-蒻¾& >&z6!idfCX]v1gh/{eɵ9\q` KN&ʸML¼X_/U?]. g2Pgbl%jomw@[??\~=/zͻ>-^ӁDElcI֘w OrInI300Mf?k[շXV b=/Ah oųlKߋ8fPSZM I{,e Vz!GLm)vN8s([c:xf[Aȷ by>$fKKуԞgLV 27\gÊHĮp/,9y/z޺d/7 A-4ٞoKɔ$w!c08}  ̂*jN=D `KlSWC1 CD}@ůޔ.6`re+3Iۧ yONIDq?g?`f[DFc8y 6P+'L^Lt,਼Q8gU*Nlt2ѝq] ~iѷ:06[2 ^tGU ɹYT'*uOeaUNXǒ.zXxD8$l77^}-w.-xG[}Ma;Ӥ?pNG`j| E%{upza׭I/ù|'$l^H"+=,7iP6c/𹽼_VM]5ӭ|{6r,u/YioB=r&i+ns3ѿ7{U+t!a{bzg ޼ħOK!>~mĚ~~˧막؞[IU4{`hºi鈟s )_+e=h3MNRQn~J3HޯxďzI`*z|}oyŗg:@~-;=@2lbZ`bաc^^G_ym|>'o^Mrm$_umv)@u&'ţ叵x/R+lAz ˓zV=$g9?VyؿlI_"&~V5{T<9y*  ,=Oם>j;BKz{Y4$wO-<~K¬nϊ&PQ>W=C3Gkwc+?tTgƥx4Lr+6>g(u.ԾKdr-&?|v l%JK7 Cv BDf!/'_M%& x嬈([tkLl!Yh5/wـlN6yTeG 8r _&69clDMԎ  'TN,Eӽ|M(Oer g&Ҝcu1؁N%Z@DLLg%ܴ&~kѧ6n%fwUN鷼Ad-=&lSarb5Џd !bAQz;NJne.}ѫګ<y[v X:ŇŜl7&8U?:ZDFЗx׃wsOI V9 ؘ[x{4+zA$g|qRʏX-!*j<_Rϗ_m=] ܽ].^\hcya޲wE&xP%vIC=0ޟ?ڍYlB}K2ܸ#U,ˢV(^9V`f`;U̩IfN되>qΎj]XAVΖA&1L(~ ' uUCrm8ժÀQGtG޹B hŰBg#t)weS !bsęMy (7!@A6d[[ ($%ݫGrѐNIB O4>zt 5pcW8ڄ`r1 PeԚ\{\S tIPKVҸwv&랤$ဦ`([BV~hbK*ʣla OFtVZ=&RU/}~>zfmJr% L$o`xy#)wVi&!ly份X.4&>GWp,;?'DoP MKy^r$%w0{p}I(~o6?= &lK<1,}>x9ՅisTOϒS՚ըȊK-t UTԩggp:T{O['#Z7ΏiO9LL,Ml: C& ?2f$!HD$w:AF$ {r+ 8GG^G ֺACOݭ[RmJ%{YgϑWmx^$_1Ir7=΢TR~dͳ^gqV)4sk3@{fITt/{\HO隮<~NϽ{#id~~IW>dvO7[_Q+~V_[-H~~R}[3b~~ ~E>. '7IGK:O^a/Hd"lwLean7Jf/ߚ\TgCFFh"@O})e_ؠ%: ]p&۳ɱ3xޤ'ߌ xpC\D fʡ*'w7]&dw"jւ7on`s=NIr1}{ℶݙWE *d}*fC3Zd^h nKA,D\_AHV{?+ NxsulO-oJ!F2@ Di7QW&ָ0gt| 6wO~d/fělX_T5 8rDۋ]v_û~BZQڀ+_ opM1ٴjcabq½oqTl Z&̾uɯ j}Gt_%|L} ܬ3yص &K#&5w(FIEVע48Ivr5l2 LbB6N21^zuRA U?]Gr6`ʈpwO\1 x tZD]xCK}N|n#R}5E16-в~?h[!tk.P[Rɉ"վ hkAV`}QW@h_4.bgM~K̜&7z^t5n0,:U^C FwCb<~K X0.~~ЄO׿/6==P=DͿS#ldZlkdo:H!.G>[Wt;;:M_=^5v3Jpj Adg!G #&BD``*0R ԹkLŻ v@\ a  I$@Q%i3u&8dBB?zP tu_g:g#-*3I Ö{dSbLm<(|hX"툨n^g}-;38If k nS\阓d{QRK$#|'5Y9nN.xuȑf8bgO=9 -+ٖGCG˵TOt/,ߟ[Fo-k % vhss6x9| .=nVO2~F;]$Y= ? g*+36w,kf P(D2?dg M`§˟DUY@.>&ޓd%hO$;MؤʶTt,&-:7q0ElҳLY$exhچ5NmR+Trx5ܖ֖ fx;Ŭn~^A4u0y-o-}nMOtWUWDj6 \ d4P5Foy|[ hpT[:|Md${Z*>oXP6xכ7^sw%cɅNKhu[ajAji|nP9Ӝ*F;x~[R}cD㗖?6>=M|y[ 7<~yrA?7%zJC6bFd=V#lC1NJ %?}+~1~m.B< U NVYŏ%>j)TtUg ^6Pپ>8\@OXl9G=[ZXAܹW`^p ̈́;@ou=;}?Kqpq[K?nFwo᫿fz~z#iuCrnRI`+?4*Vv?\pyu pf&!OTQ$VO=^ĈP:rl?MWP0듏fm2dB%+6IhxՒ/ BzK3!v ~t0lTaYT)VD& ٓ7r [ͷ'Jj3g7~V辭xak)\pF'a  .٩"Wz5F1dVv2 VSd̜j@M2Jk$PX4اP肗o" {J!b@)v:s.x7F2@ ^)5\{b"&|9: - Qnrx*jkՙp7%ķ[>Q 8a?9G(b5ԟNLǀ6-h. /*4[]u}M⌦^+Ygηk{eleB6'C/$tJ۴Rq 5ߑ3Na =:|c9UN(D.lK쎃DZA?];'$iZu`︆g`o78EUV@9=L9Vg+meMR٢\A'=,H;cs& et V<tYmӌ3n |:{!g@UcnyYtnW>@8Io1aЕUfvۧTs&'xX1o]u_7-`-n8מɪ';@V#kgzQrd.7 o9[g}θ%Tϳ}7`F:'3Om;`QM˾7de@ >|2Xb6}3nm1oO|гږwJ4_s!zI? &1_'`rgG߆fcgFxDYҘ 췿={vn7[g8gV!\)%cfOGEbk{ |,n=7l,fML{6S53Y=Y7N136[XW&387X=?@!anfa`/O[扇!ڼ6qw>~o0vEA_`^;ɭ/YQ^'wf1p2 F/ZN_~pty2۳# y]\/|dׇހCg{Fx(]& nI!l6 #\ʩe8xg/ nϨ?Z؝Gg _U{iɵgb]u8BߵP;x׭`@鞀_T~wRnn-pɀf_k"G~({#/Ȥj/x6єl60s8Th T: ֗BkYt3bE{dfe !K>=nCA}e+*UC5W@}P6l=È=h)v~w _yr&QHF &`V$?p5|%;_ʦ@ƃM7 ~{ `X y،f9Z)y{V^9_0}x[)v)r` \kuc3hxbo v!]ŷ(S4c; 0?ͧ,0z R+ٖtqNp5ظKK@k+,|#+I* [;P b-A/ܭmMw8ߋ:yxwķ77_?RE"ym$ 6K>HH_^ʜ/><3>qd8]'^w43ڝV"ӗ8jj挊4Fb.gBzkp4~[1P` z  M@'dr4r(` >- N#o뜐Jʴ-u*3,?k] X[!H]OYX0bԞ!\y9)v9R2ًe;\۠Y{}H\ }QT98R#2xR, 6ܟoqzUrg> sf],^m)Hw n?OX!!4SefhN6Od딟 Y u]³ +<吻-8XUdGC-eEg$?,CIG6x:HfeFA8gK?2!L6vnpqWpW<ƿtNےB z_Xҳu73{qNPkzfxj|>N Pt"&|ӻ_$UVvsxnYtx}h]T`|ud|5(`ٵ YLl _Gm= Ax!Б =2*/Emvv$8KP$dq$_<=5|/n>< /oo!tJOoh?B_KyId\L.V =t pQ&m/~l{+`z[bJ~?<wϫOvq?$ Z X4 ]aAdEodyECz|+3߅YĔrjir*W9[ߠ6r: ҷ*[_ҭm<~7G>0G열=dIXh%~AhyA]ϊ1cXNVum$+lPAB4Kmn-5kLh,rfp͟~L֬r0n5EI¿.y5㉫r쇦joKQߺ`o*|*D< }-wm. G95R=~lfSNa#'&DBx> g| vFx/܃U~Dr׏x F~wo+ o6"7O^ۇv1%+_yJ{ =qFXm愓l%]Gg15[8+RG4<~ttBuljȝll8-\g,' }0N81 G!óT˒/F#HO"JE9=8݋9tÁXuN[>0cDK# 3-ٲj{@.g k2=kMK8LpWh!T2#)lغl'ב&D?:h w{֡du@Q{TF}Je:L}:Js t>ӱĆ8JXsN⟥Ďɏ x]k똃,?FͳvO \/4MR ̼l;kA 4EOU|?0盂8& c$]-q>,؎n0;k>1c =^fFkcE~@IDAT*U4c t6ѹcr,7?bBGiid| xw:L'.dl/ .V/ o$uLnѹJL ɷ B ^}Gm"( .FOlE!^]up>f#?Z}H\gt(y<% abh 72Ffegp[cP}-,aZ+M>\k8|!@f[$P H?H%~;pNj>곢:^-?6P֎r`^:.u?bSlBvf'dg׎XӷKy~tx\&te6$C`0XQc`~ FDr|{%tw<~DvAok-ŗt]`\] tKю/|u Ʈ9ěAmH@u7kFXZU lXJw6#teΝo' >8ЁuQ5Gg4Dy7u.f!W8szȸh{PY vrߠ A'SF}KuC?2~F lΧe| Gp=+yA ~97Y0-X9~oӹ)OK9̶@,Cփ_jou97 셞yD%ٽIÂ#>u\/-_,>/%:ss8ft6%{yfD>w.~ g։ioo^iC*;] ަbE9e#pP}=*|NGot~Fѥ[v2;e'vyף?[ݓ\S$$)^$3+n51xզ^iwtn0cG,-2_@Mu<PJ^Xܽްg~RIݘ|3%ų=|thՋlpƫVxo !ߕ`eOZ Vxyl> .|?L*JK"]S1QdI+l/?e8K Ul"kX{y`w+*orٝkWx'=CGm7dqaD,fYb?B<°Vڪcu'p\5=@ vdˮ}N~"r[ zi= Q9f}גBWp63c#Ո@2X+Tϩ/kX\=/径4>dT{uX"zUn蜎Tmg"$$=NȔX_R$;l:OYCߛcґ'K>V@~/e, ~ӗ>|oC և~fK6QJd}WݟL"4V}h&DKja1_ tjH%_VR@w%%:>,:̘>[%?EerI+G)VUf Q@Qv;;1&/.x|dzl&á:kh-3tJG2:z~i;>I8w]6G6<\ϾM`Q)ϑA1$1lv?.ҵÿ ce;jj6NŔYJuczKzC} qGY%Xw6o E&%nV vI_OXoN)M4#~w)/6LC1or!dwFr7ܱro:]t`:Dt0tؠ?@gk39Oi!uiejad39pŤ )7- (0g U3d,AM X+{tM~v6_G*8ùWlYɮ%wMoCXHscڧ.::;b,Vv6-ocޛK/'g ԰YAnKf՘F*gw?*t|ͫ^QwI{$=f hg%%j$)σC8oVc}x9^?*K>| (/7X{f_t ׯ[zxYf8'ejkp+t5c޴dn{g׳h0I`2o":;-$qKd{~5]x^ڤf} Mo?{V#{j^-FOQG^f #]#:|*qYKfMϪ`4-K wceǾWgo}gV Zx: o2ޫ4ԇk}B<0kTmnOJ\pD[V@S{{\\Pktn{EɓY~xw F'WYUwQٵp[S9:#1YM< +9v \_BnU#am?щ]%w& ^7вjQ#RxH B>8DdD\xq1-ft!|/a보e s;g# ߵl?IX2.RV,H$Φk3( Gi1:xrȮXet~欎/%x&AV=C7Y.^wN~jPml)loTw;C.0m,!a%qOvb\rw!*~@;}Q*wVڱ׏7_> zKiU+~MI/AqY@\A5_mL tp&NNҲ cK(@#u|Ń#r~w=!>ݼFהt NݽTqLd:A78 rkx y}tzdIAk=W#-MYpҥ}' 9`(:ZY>a]E\h$2Q UAZ\烯MR$)@ڣfq~?Ҳ+XLm8Es j5͋˵L&;08m# {N^Lߒ;ON}Wfxs^=| \/Е~#)|XPkkG^|97ij#C oLTM!}_o{4 aI$o%Mh%86O؈$E^E>T4%TXlS22>ɘp. |L3_/e4;?Mp|{7I2>1 91ޭB؛XE0owL?y_~/k7|&& V}/ㅼE'>LgxUYrOWӑ?K\h}uС ZF lyVa>Sf96ĄeL]AJS808AVQ#sX)|r ʂ"@]Ogĥѕ13tgrD\`!܆[m-쾦cxBG [$7s(7atEG:h.p0"pO|w83׀<,S'kz9sEc%MWtl5J?i YOy|+RX'𠍶 F"&=1 Nu6aG1ɰٟ\A=hG91tv0UK;;vaԪZEF9vylv@?\}dv]?G aCeU3ʇv43P2D0Iw~c hz}rlQa&9qG|• I^EΣ{[%xןg6O}֏e'OK_9 Qblua. ;{Tm砧g .cHdk‰xX?/?]ÐpuO] rɞ o&Z:_e^].Yݵ  Πu{S"$LOGoAWYN^W̖oúwnwCsF ߂ISkHO/7޽xr><\MLK1@#\X\ò=v"^/-ݛo^bA89 D ;vo٥䣭W6ބz!,we;g͌أ 1 - i[^Z1Yx7|*ACގx{D2ez$*>  ^lb&޾zӳ=/^{JJ(A6|g=$e*%@14udl5c*O}kP$f$zt\C6Fy3dfw| 't#je-| 7ܽchlۇxA6='V&;V@ýH…#S; '2KGG@C̢ogϏʮx "隺.gtI{6ꜛ0~irM>[a/::t=Yhqf[+<@Yba SZ'?i zaR}jGষjI ::D1bq3~9>J4.ȆKd+8 Lee8y[G,{euKg@ρf#H Cj{*$U#ҟ-m6Ya [}O1Vc|ڡPgԮ*s]bOp. U;WlYrzDnW#k6aCU6K(dJ/jS%֏_}s5 txl pp<:o9Oggc@FǬ6&!VCn %ɋd&Bk()ctѣ߱ ,TN:x(Dq*ـ7_{ʯP54Y'x7L[(h챑qaxv/OVw|{}蕽m _zn꿗mSK~kV|z8$sË^zb }xqԟ^|y~/[HT@z7槵k$`1iV΃}d0!a&XZaS!Riy؄~7mi^yX'hJƕaޞE:7j^aNQT=L(ik]tڈ$kw!LV:P?`#X- ]{(Ef:>[*(9t#uEfиYT-O99􃷎CÈSژ,+lbN UW) &r$ ـ}pPf*p\>j9'pʋF!_3s_;oȳ aLj?";6$Yupt(#]As1zfy&mkBPɀ(ӑʫ$ϐԡ|N0_V)|/cпߚqRLk?A:k8^.a ~\/wo'ک>pk 0}/.24~P2 ÄN# &8U%lIHz#bW_`'L{ѵ U$-sRZ";[X"I}Om;$X.]ǷC3x9w>NlMns_5sp|i휉 퇟x.٪m+<F̤/bjE7C~ P:I/o1xVVb?V, x}d5!6MNJ`5;J[=|UğpFw}ع/fWM[N~OYZPI JN%Uت"m n6 ۜM/D{5ZkOR¸ vɢ>uFi ׆v my+o u;ס?*؎K5q#zġ'3Ɠ٨ѡեpnW)tͮy"+Uj>K AAR}\7Gtp.M!z}o;- ]: ~tw= 斯 Иj(:n[?.Txzudr7j-!•ƒ8D'U[ѳ;0`Xh;0i[[$G(잲4+Lvfp_rFGP'Eӭ`M)o|ڎu@c'ڽ߾uorigll ?PAyY'~CjpL3F9wU(U<4-[R+teoH&`iz}{wʂIF8~"pHK a/ 6E客A? o>Xn93h5xtFo<[ƿYkJoFa,AʃG=,D@]ےgݧ'9=7ʭ|CZq`_{_>$WڀiI,{UWkQ+6g0˖o)@wS6zmd>>}Og:uo {ҫ$"|P,7^Ɂ F?|=]_%I"}ë2݅76}tQg31&lˣCo VgaE=0Ὑd`A?˳籂}%sN?6|V,! 8(*FЮ ,;&?+Cbl⚈ h)Q1+k/]*f/WCq Q6i%o}h)9~f^6AOib|ܷ& +:sw[{ x-FӋkFɩo}pX'+%.xGRQڛ< ?/Kek㍎QOtAQ;8c~ot1\Y~|i#űɆI`_]cSboc? >mUCjKj&dMc_f8$ǽuiD.0h<*Fue?Yi kvY]}ğ6(R6^N`iB6BAJ\~W; =u6"/^{DgeIibk[+`{S ?*#_V+ª3pbo٢E_`0zfwNO f4RcnP]<ؘ$zVw>E?xdݙ.l5JbGuN\WєA:<9W| O76_;t7{L;~o ҽShzf,>C(vغM~o^W|/Z뷿|Ѳb?IJ ASy}!K|8x͵Mc$8*,n㹼"%7og>yO7|~,z?7W7VmK+ d3p8ま0Cg}8.hpɜQo~莱tܸmgg/g)I)GJY' vjls?SA6!$SƠ1?*uA:GLQ<O{Y_8(_mCv8#m*ǰvgAN{u=+CYs sYCc.E:ooK3``2S}mZqqIpS>l̍NZɉ%dQDǃq*dM՞-ѫ'Co52_Ω!sI.]b_kcACV"p%?x6j;BҀbt4j~wϕTwf)X"::tV6:j oub:xuR9av2?*7ac +.ylC2 j2Usy#8kqak!q3{ۏLXfB<*Kڟcg|dM/f -Af8=Vo&ȋ_{݂D i^F{~\7f%{gV|mmߕ@ϽKNQo1Jy7cK>|]oo~mc4{2Њ_?m=:ͦ%?a0@/N-ѽO?.SJSSnxVE`+zݢ[t"'AGW$l>{#O/^7fK  M]胿f'<")[1k.ٍf˼}+TsF'`uyu4 ʒVfF{MroO*LC rOglw> )ʠhϏnV4tX'쮗MRؓz9>8IܳIxwN/*>@*3N麲wL<+@C7U`>ǡYvń5B  f5EER5U|ש/^n[󁉖p؂x]7Шtv>|] D &1x4IPv 5fwHמkn˔/^g^)w[$v}'gJ#"h_}j2x2d"J8m5wAוmĎ[(ءߴppɖ1Vlcmmœ~J=o_ <.!VG)/'Zo} ~Gg0%R6v>]۪::IkU;8܉i$EQ%7i[¤ t}Y"xOg=pٚM񟭐&9t$U+~9xCuӒP?D1ŔN Fr8N؟jKwJOX}>9pA wq{c~Ey5b{t?~Zc}&fն5saCLz{6Gc6N?i箄ؘ:&$މC>}&MG?|*Qn4vJbA[ $oI<;]4A_iSo(Fe"=k8wo}I`[𥪃35mJ#z>TgiFaKL1'4ha2V_2^V0!'C}Dj(DR̩R7#2T1c²S[~0~TP|F)7a N JH'Fm0OV^އ㊆-E &Ɨy)FjIgA" 9!:i֠;^|~ǜo80;u}!pR{̨"q/uלd~2t\>jx8ǯXN7w8XUA>֏Z+9m*uVK^ZƕD <4ZX|x><_/_Y[5;9 t."z p\}iua|:7 :dڵ5󊭼 @GpOzSk.syK93jLt:EA]c7R ,k.DYtD6KuۢBe:K!=M.Ѱ>hFUQJnntAM*mwʿ&fڃ\uEdv9/K&Y5w[dw/$ZkgUƗhKMQNoɤR`U`P i{'a`z>hБs߯TX 5B .x>3KLƥD/{\B[$too2r7;$9@:m+/]S/3 ~xOW60Ih`_S0 e+?u n|ͮÀyG&Q \8#|3ntE>ns>z<2sߚ1|摞X \Cdo:|S~7>8:z*CV7]#f\ÛңT6"lk$O=BqWaK%#p%] A+7;ya}z Xt9_V/Ci48֖#7u/x;+#^M4nj)f>PM}1917QZeKJYE_>gKA% /F2r3zBgBF6~z rت{t֪=V"Gu|fgZ~"[2ӧ&&ztE>kM ugLYxvqVψY5:&#c~bĈx^{kC:G=j;8L6$< J1ȐHIy9c9lŜf$~C ށ_˧LIUtxIR-(oD{VwLl28 (*C&Tn _ @!A=,[9 Y ekDx])w 9 Cv;=d80bxg[ k.YBa곉g$*_Op_%:Krm6HfD@hJ`}5C]uh /4) 6W;pyr|U}rޫ%GMg ,<.Uc}}чkֵrbaV?wSvLq(% uE4,/KLn2_|){Sctsfrؚ-n9#A" V/x?o& =_aK]脺dZ|0;CZ Ћ=?yAГP@ %Pp l1gPo,1ZohsRe!sJ^CBgO{I٤ O%'St4 %!L&ʟɡ 8:G`ǿRVgT0S/%ＹH;}eWL;/hӭOKViR%v6H7~[=>h-q(Q3dxT׀8=|Рo-VPu#UNYY7$ze4To<~tLM, z5£8*UGTN8_?X?[}W,^Y`/_~fm$k֕JmUu 8b Ȯ,)Ƿ.~ßYysxr8CuE^y+A/zf1ʃ5u%k;?~a:_*ӣʷ>@,V!_6T?'>_0!auҚ-UMf|k3'%ZwM}[_|ۿ}ySI3JM8Gxݨ^==鰿އGFP_W}U\^o0ӑ`\z;0%tpf!t/:YЫ [q+3Ǝ`RuD>}f 2-d tZ'C.eL=w\wx$';~rK֮Peh >5pGqO ޞ,\ ;6+F֓ =+ۥ_?pstn˕ae53p{a%BKg:JU. mSΧv=X{es[V^/>V$q•A-{]o J|ܿ,7_oW6Б?Ͷ~Q8pR"[_CviE6_|yu|f\Ht=ֿjI<˘2ӻWpOW _Y&6ә¡^@2V'qT !y: 2ey;ǹPRaá.Gl :Ig.'<<}|l+8V<|l;z%ZX x|7ae<{Ɩ Dlp ;炵x1j6yw$od$c URZ0pYp>r?Xug}Q|0p]?J]&*~9V mEg}s#Btyqr ZΒɳN*dU"}u8л<:K}'ikb$s?ɏu|nWЦfл఺ KL`#zP~kU{l\n{H i]L\,FGvޢ!gaȿwEޯﮕ&ෂ&m? 'LÇ~`K\;q{rǸMv8дAq q}`%3~_#ׁ?=<@ SFwkҖҧ Z: >HEh w`drא-UGC|PTț,`ԝ-&FIW/5xdY~Nl7n\󝂧p}1F,*qwkD(`A\hLY,<4¸<2T |RZ C;Rng2'5'x+_i، s4|R`psI [&xI}--8`SE e[K$CV ;&(k* LD pMX?lv }=*W2ҫ9_P%`\Ҽƌc5 @lS<6z@,]Z9Kf}6cmk_!Noz}XAAvZe۠coK ZB֖lX >V(Лe&|Jwĵ, }C H#C桙}PkFPuק[je_FmK' Wp]{3:N\x'\H6N~ʏǦuth4'vQj@K8d_A2|tkt@.FЦIVt?<^v>תrt(@[2 _\~w-ZOrѤxbc=Z_ѱeڥ+X o]K3ݽ @8(ӗ[KGS $Z/ C+_ UGῒ &7VL\AnxLj_zlh(> 0]# Koj>hA8xSzWW]]t'N o%Cm&fqCs۰?d!%`kx11?Bȇ'U'xvɠ4lcze4CbuRo:wm7V_$6-Y v_9nMvìdX+"7^GP];h1B,plVӯn/76Ҧ>_m_ pM uJW /x7 C?}yaxK;3]{{L6Sf{t<r3o G~_Z"nuK?~?79͓8$MHw&]V0Uo_{s"{xKI &`+bGQYx_{{w:d2oO&I\6D0 jIS~vN:~Lis\YwgŪznp߱#ᎶԒޚXA}=v`3ls =p&[2Pf3b`aeqTbhI j,D4srDXq$g˥RM81TvYɄA +_e Y+_Y|-N HR8}wzf#6[n_tM(8|{a`G*;~~ډ̭ ޔ7;G:[Ru1< SV998{0?V :9r857z?Fa`> OxT9WVYdhU~//;9ѳk_z, h[] qS5d9 p>̈ڲqDJMYQQy͡ʑ0j4~\ \ vZNM8Kg&یlS1ƧQ W^ m5!, ZLYfSpS]D=,Qnk;cvlv aW5xn?'&7N!ZUBcp50Y?"d v2@6n;<~> >7f<&zr6 DQ\/92W3x*YD_q|uM6تkhhpaذn);we αM;hdÇN  V8eJ`gY}`s8wU\?Sk}=VO|:Z[;H,ɿ&i*MM1KyO.vn0~͖}4;3M2㫔%dM޽N`t*KF:VGr!CHc#AjD?p) M5Z3Ou#{(beLhUwkm"[nmEB0IW&Wp>غٌ`ۋ(_gѝV[,yC~Vh}9ud =V>l GlZa&jC4>Y^z^yX*:`Qy^zthÌA0sxȯ K|cW!~팀`~Fwk> }1q4 -}!ځr,5ׁXkߕ!rV_z\3(q49#lNC{躷A%:wK֬ ipddp9{;|pDȄ7o=1Oǰhe[:NH '>'?odQ Q:< _.0WtVɧv9 cz- ҭ%o3CM"c,=0;RԺ{fQAsdh 9:4"zW}/b_kkO!3ҝ[@k5/J/@ xR~K歞0dxf-[)tp?N" -"aU <}uo:E D~iA ^QB%g,Ĉ_X*M,NbD|{SO>n8!dO0u{l y+_{*DW`\ Ϭ"x_v,9ƚP>HXn,9Wxmf 6 s_VAdtے.>O1 -_َJt澅a+'T+7tb)Г׈`G-gx='_3@ݽ!k]+֏}Nk>OQ~_»Ӄ@ooNW54Y +AfN GL"bѡ%ۧ@ Ypi/~(mP}k>h=ڨWՓYqe[J<<9$[v.`(ٷӠ'hv\3Z)C#(d ŭ kŢmp vm@ϴTKdNʟi5Uz _XT7Zt7ة9.Lf!8ҫ0h^Nr6yUI0G7F$:_ofެ !1{M^|7\+o_[ꑺ^*1hx 1➣[~t^k_Z~ \:#pF5bV@36vQYX3S V4gHQ,C $|;@+V|8sDӂk6H]鵽FeHmMcb~h8400ZEdr@}.u7Oj>ξTwu:'Oz|:ċf,Vpzʮ~۟E@OYmr],P'خpm|Q_ey;G'P;:#YIfeÉl9;I `W1PH kQ'KT@#%A+)Yy+3?}LN挞7x $a|tXh:EaoK-ò_>pfLN6uUfۿvjVbUD&Ve? o=^`|v^^/9`Pg Yy`ϝm+W=[IDVJx4Ua$W1۞cD$ ff ʪV'(<&#f.m6N7N aY0OV~^}FtqAuYOXٳ˃S"I6f>{Am߂rFų6hgQPta3T{rϜp T(.}I|R.D_Cfgf2$xԶتmmh쬀[K d)FwieA*[Y=o6JI~:qj,;ˬCp>sA`\uzߖ-f|._&obnݳ|ٲu>./nlR&-GCG!NӼ=sg8$Ӓh40Dop|C? clf\f׏]%] flMvU4N}04XOܠ[( |\d#"xo~O^+}=KQVKX M P#l-]*7s%TD]T*.fǗYP49 TI '-Дc5(_Cut#fe9rԀVqz2Y5"`S^SHq 86JJ!BA`Pmp^Srw\}heFeXR% gDi&QeOYɇYA!~0`D r3N_Q3(`&؄~koL3t+W)!kh3>ZQh 6:$wwËS ΌL)w^Ox" ze\2PCdG,cJnɇw[׾;rf3Iŗr]azY@TO۟9a`q<]VOr' $L= RieY zv w fQAm >혳J([{jЉkL«/}ftL3[j,a*&($GñI&DU]h_}#_0x6Ӳ^Q|P}*%y+&hVYO۟fɿδY.Os([VUPb @@ j}QzL+Y;,}L Hյ~~r\\wkxe $k^ 8;l;Bo^,cGd3Y"+`"ryi&5"BۛL)=a9rWd,܏tO_;}tr 30ℊ  U n:L+gTjHom\\Jthp8'.SGE{RM~U]Rp:>2zԻ2رұ aPOpw׷܀_ڸ Aު@jEV%/]泣!d(Vhk1WrO>ūD6G6`*kt!qU8XUtk0Om2|8ј[Q5b2L'#MkO\/ taWWo?J푯2[ D]>WbTՀZ6n~pZI] @{Gm5:7)fivP4?6՞Ε^>W?k"x3G}!ֆ \ ȻR"Zqg i8̘gx_s?  [":Gwj6\}W엕uDoY6#&ŽP-袀 e ui q NFhWYG@Ʈޕ!L!}گ}s*_ Xhy:xe7'گ'rCfzM8q c2pmey7% ЋSe ƩiWzS0}D!jE$e=*WwZrSy}<9clx{}Ѩ =#<|.H/o3YzFi lPza+E*.: .WͲqL %UѲfG&7=;^u4fr1ܶ$Y%;sCBL`2ICBU0K.p0e@7xhi:ؒR;kr s,ZCwɋn6' hջn+N~Ñ'2.hCww5+ɑ3pnڬi'}xeFh$$-0Taok^,3>f +n3* 32ː)aXꛡ!Qq8P-esshj 1O{1codS{<B_s̃<\L5><{ԭpն $ ;Xaqv==9|׏{xo|?4?at:@a OXG*Oz|e_^p_ ~687LϮKF勜a>[?z|Z}_ܿh"{,^/? x>T, 6C>jط60Ԯ_ QfՀS3ݶd8hV9A؁6wӇ/_&)~}jOH69pi:Hr-:/2zR9kmbvn]%)z+W:Eˆ~_|ta'/lp+g쵕2DJ6wCSeV[V#' ϵŖWaI)+7+Gvt@[,1|xņq`eA uPU}QkCA{t6 j:Oq/+:5?>o;lcфͯtuk 56t.Ѥ{h̦nv4Z}_22XAXɫ~Y/0D;ki[IX M[b3M}"aiŇ,V` [m)_oۮM l#{ejd3UK}g$>Y%JJO?[Z3O6{zl:{6+TX.lmNNYr6zG G0 p #b[ YI>+CyLW'Z0`5S~ΐa0b{5)y t3'MLG`'`( dтWU.(SrY۽+6BT"wN L@j5|kO`#HB{_:){/dOh\?(X BSCګY9'3/JvL:hr11VbxEgmn:fi~|Y+̍^2`ys mF.tQ3͢fY_@'On,$NI.,  1:$ui/oJS=^m_i'h_7 zTbKa%ҩj]>ɛ}SPq2 hVf+Oc G TXb xG&pWO{v:ZJ` {MP}ydA^`b{`㜭}Ղ`3%wWt ,]^ lٜk㼙Z^ֽ pV?3}Ri}L闖i{3†ĵ`,PoxuY7؃w ,}@ ><܂p7C%K'^0 <%~_9,,72.Wk~xgdcv(l>4KD}{׿_c$$SMQo/=㸁w)-Ty<85}BHAt~ьOkka77RO:D_ gåЁM~UgTc tqУ~<]c@v6ؒj?u*j V<Y vr@%I=gь`k&'<;ӆ ^SSe]MoTVlil(.|J~=lx.?On䕎m\vJv}1ն~3@-o?il%7q8 KR\?'g[UYMԷX|9;QG_2|&H#'y>L7]w$@*dR|3>LtǾ=1k3]|8YCr:P\P%-&(sS._2 s+ʥ3Y*$59+r*1a \ k@}y~cv]_luZ[|I~-~yZ{ .OL_dn>}0=|&}gkx AZ[YѠ*AwwX?}J6JFT\ ;҄ML(U#M]+,xM>) sW{+]~FvC1'S}HZ7 qoItcṾSF2tO9W.kkm}+x9rNY\girrӑd;g2MjѮA>ō 5(c\/mÀ,{zY >oLֶ ~cNsU\j|*4^h/9A>~qOjYPmz6$W9ꚩǟck Vak ]6NpSҠ?|/kw V6@H3$_y^` y O F-ӾN~ x;|,1c# r0 jԴ!-X!K8 &As 'W'َGe?m_)V / p[E|6wQ Bsے%A D -oRG<m?*!:Tus^Eϖxi59.X"!z|J0DGev-(˿=KM[^G)`J8iUب0dei&-7-k}v?EGz.lhY., FC`}7ZF/m߹f8!6[[{q(4jٴxG ; r|Dowl9yF )@|kzͧB.8ܫl|'WmݻpЯt B7Rce>Ϯ{PߩI%׏Ltk-BO&s |1/]댁|ԁėO^$ya*c%B[o%q+}"nk|F6%``tz2]g &P1}7CcBchjo!AW޵xpxfB1SuQϑd6@ ŀK`t  j{} OsĄ'Ȉ nY'q۟Y%V aܒse)»ˇ0: /Jq 4 G`)CрU.:rp<L chƒ/X  eM אv(c\ϓnNheО~;#Jr(>`7-W_p{xLu= #BGǑq;g&Ē|=t. ‰‰Sp^ sER2C@98v-,9O' Vu2DopCp4XNP| 4>ӾOhL0K--M%Kнߣ,{r2ڷě52 +{~ͧ.ЗȒxqp\c`$ 'A99f@Mb+ in)e7=:t[Dc%.MCJdo ߗ`&?)@̬Hr4:ZJK0#=:K]{zѹrE1jGC> v-AG ~J~ =#q?f G,9%2Dl$,@ݖOndC=+ʗ>=$kGםӻ?khC(7s闵Nŀ2#9Rjg )ǷM=70{ꍶ:krK^IV \׈ͮQ`qU# fp7pl\]GvoL";n6VM^YQ3I3d\$u7Ll?X?SNV7z ZZ JgYL14p轳6gY‡f>g)7?Rג(}z::`@Iڱlp`Znjvm8]_V "+?~es^X;;1FLFWɟ ΎIVitmpf 4K5[Ql#=e5% WKV ҁԏv%DnD1nq]f7U`=|G}3*=YО~jJ.1uن`Y|8Z< FY=cԴ 71A(w-f'1Kxe~UXI" 3~Ϭm+'tYbB>6HdO\?\|Ϙ}[qg=\ѳ1`m[kBqw-}[1q8w]6x JD|ӽpe}B?,Idvl"_mlf,{n5e@7m2*xBeAؗmw]IOx>J~u 8~yzHij'Ls4$vN9+KYVfT$6m`KQv(Z]zp(},O6EP9 s25kK zTY. \6 |8;8A=ю7F?c9ѻ22?>Hd$Pr007]Ъ#ybhf/ܞx)\$+KĮT40QUOy*lBEMhh6S+("䁮˪;K7U-~yۓjs3;&.3HBՇX hd=3[=o[MZq'Dxnzw`E.0'dV> g^2ű[7 p_r*>w8UJD{:~Cd\i|,>9w0UMh+ǟ $+ (k+D jt@{RzTLdu-T~=ﯮ:In,zGvfdSnWWwI1l:fO=N7ڲ|~ijj8ۆpa҇ _}my ~[&MSΈ0| ɩzrld->&UapX-~Luh1͉Ս$ Y]4wcfԼ+ڋJ| oK9It>GnO@#뻁sѯhe=Im(C#t}8,-P fP%'PclakmZ pV:2V?O_Tkکt@;x:>ԮlňC;:3O-98U:,O1x\5E73b7G3]2~Il{GsAPg=[\v< auE.,Ûl>muxoZ10Nt~:h!9V<@^0ڇkKݑ@5~V_J4dg-88"'鬎-9ϧG$A~$zzӪ 6t6]4nI{ĵ]K4TAYOk}D.^tגū t"\`_n5`+j+  Wmeuw[K2MW_f=Qp ɁASK俎O^zq݀ 'a@gیCMF˂ebsopdTR4Hګ'85Хl:8;NтC ޖ$S,!+JM?=m&`NgL%:= S>JYS 5'٧JAŋ,Z]>0>I4 !:>`jqz>l/tX@-̦5J/GaIu~-24RۻލѩzLJ 5HuVF⯟}ëki೩Pѻյ|FFgEt*m:49ݲt!dEf#o<<;߀:lB9xN\lRiǑsq6>E/8z`${QksL`,xK>R]BĠw{ѧz1ؽڶNpc֤Pn/IȶG o 췊ϧ5ŵQ1CC~&[Re ~qX"}?>Ԋ2cٴ] R'?O[;$ۯ%fv337>71nU P9+VG3oE$dq϶y|ob Qq7=FX$P_.:/sʿn|ׇU[kP*ыj;mf𭨸-rŶ-V(zw<&bqTl&؛\VEٶc[;Sl£˻lw]HW#!TB2  >8g F-dmP]6@4񳐽 ՁĖx1~ZO4 n9iw+i|&2 ]gFq1w9Kہak{YZ`7[VP\ڎNR~+?h:*UDzh/ڂkZfwVNߞPS;ݽ~<ch xjbQ?>wRd4f(O "eAcՕ_!>va00fGЬS YzM9Ö78ٌTp6Y2m{tYC b)ͻx=%೧2݋gگOK؆g =⏭gd~`wrlӖG tk'*8mpG~-UFdKBr]4/#diY=4} :UĆG~ţ`حީ!xn1G3xYe'Gus0#ysI.}[%cva:G[4!,pj:]ߩީϹpzrڛl;f 0ahzd='C4o]ta}E^GwbX%mv/G!! ݞ9/L2d]V,>rv/辗8c?*1kaȓW5+=<\xww'…LOyϧl,[['9^;]VoOQpw /n}Z-F/6[q~ެ;#RY(u֛^dg1pEl<'_Vڛ|Ja8]eGݖNG} WE㽧>Ԇ*`gk}ҏtpGۓ8bt=eM,1? l7ݠK !} wyAX97jȄxnԍ8l;8UՍG| 7_lcuU)51 :uɣfB,P!綦AOb\ħZUAx7oh)هm%|4ԧX>ekv//>)Io|p ֭~i_Uoߟ_| ?J1ZaQK8 >D>rf e`MG% Kȶs,gv7\br%%Gƫy1dsT>>\F#q_V4> vM=M؛8 Кmăso2|Q1ylU*>w`#x|{jBfȾAl1,?t-9Ggⶁ=5Hˋ~jf_ZڳXg"a?6dsm Vw9{q "Ai9N9ߔ@hGL&I^>Oo lD+tf=n;9܉qtJ GL^-*Cp~V|, 7= [ KV}^r}<+ r8`,s#$<o}’my#hlyD */xMozLi3WU tkm3#1g kv&b~)@>60 ֦ΠhgM6^dKH?PG!%%qkGH+NSúcWܒ/< u-JQ :/ 7~H\c-ZAtOly_Z48Oqj[?_g@ɢ{ 1uЧ:<.->]C9 |Tc|>/G٩^UGE1A4Xd){gu^+yuuxk~n VKKhہTC ; Bx^ayb"۰=рxXp~r}6QtfGtxBb GO Nřp>dRO,:ţ!ft-@X]K%iXWЙeAԽ $%S}Iޭ@aOddIj1[5xխ_ƮʣY y;لX|a&dB]vI ;ۧ7 ^@b\>}mݖ}»|@ǧ-wM!eŤ1Ƙ)$ Ï]lSzmOV<40L/2 y11(B>h-O9A=bsMqnB`(إ8VAS;*+fX1N/-X@(0i}Yv]kvQ '[ %ؖ0alq ۓ2p%Gh!CŞ(#J1bFB*Dpnn h+ȓ$|E`_90yo藺aed8 X܀,<G,CY{ G:6(aOd \B"y/j\.Jx_kelnV;唳 B~_GȗdD>gpΠw@wMhۃ F*cVcq., _(^q?A44Y'Us'YRRNK@s Ӈx/ OOѐsţ`{_wg-==A@]s3e^ Z&1; a,##c#ٛkހC]@_="}/5g=%_x'?kCvG]--}PJoxH+X_<٢^]7ѕ-I LtPBAYֲ[C U?VW;ٿ? ؠGGy%G}Xpo9isӾ/9eK#fgEߟsh}vzK}vTP xc:TA HprC~tyu ܓDO n;u&KdohN=͒`)JaWё#6Aң I;ɿA%7$G6PCh'L >_|*o[A?^ݽvJg*<@o=)r(vDI+/חK˻}~C<=}\f-'U|zӣ%Ffל~9 vZ)HJ&ϟ*Gtaό8C֐K2Жe "36嶙 DET:X{N闟Rf+`h?Z;g7y/53m@yA4eV'I>J4xR:,t&NuMfsg%p Jkna/xJGZb }%54x§*zN,Iޕ߬mɒh"]‰lSW͕7VX5zIKZW_\6QsPLͦJ5xisg'mү ha $)k9*stAiPOስaix]g[, _ ``p#ȑ1QxeG> =j`U@bFyhlOBoAImd&G7%_AAVd˱UwIZsb~v$Oƒb8փܸv7͓s}+? N^ oWllLg3%{׮S&k&^CtZ^t̳Hd?'d^Jx]Mi 8(ېpEқ9 & dqNi;OUſ൵-5~aVe3ŐH u?iPm6:?^љJ)v4|?763>90 4ք@qB9>$6j u~ɋ-xߓn?DI+2x{N$Թkշ{vgl\ 8\6*BM&@bzL^b0t60 Nvߵ1 3%3'%0_S27ul9 jN6iHL)rq 'SRNXٸ=Jк~dV:C6G3ˀcNqbs1&8Ӝ=UW 1^[a#dm#4y\1E{ Ƞ@{52W=5AZnx_C*k#?-ςk4Pm=Ï8vW.~N64ξg5r 3G5@q9F?&x8s8b-oۿ-W>83[ E@h1?ܻ6=@H,F^mi@r#_hOP-Wg.;0\֞`֠dQnmN.fb*H ,/T`֌h >:X-1Ϡ߬?KΫ2a)2b ~٬MF0H}յǾoV3sW ލ]aC`C"];YBYNYӍLD 1ʙyz k@]lUt:N"=I''=GrKʵift6X,_%glq~\- !WN}cm[XO%Ag*˹(dW`eU{N?mU> Jd \]8A 9 0ǟ7_%'Y'9kֺYr/h /  t{C<cg#^K%aD\UA2~{KJ},)dͳh3z^%{J  WtIVyYxErYO4Mrx>Z{VdmAs j0 f9ZQ,BeVn0]0-#YG;ox h\ S_1+PQ,)>=ԊTiYނ_~nri>Ex6#HO}TLэ]Y" h3t`ǒK»otR`Ulv}c .Zzwt\ @<)}Y;.;TȵRfP3njC=6\↾>8d }xn%llL:17nl"Gd9_ۋJy U/O;{[pSp$"H";h+ oT7zH^s "o}Jr+VZZ90T`D\<=NCGqɅx4dىhхҹ ZǸoתo+ {J/br|V5Dg[6yuDɦH,o%Ҭb\$jӷ! G~kug?~veI  Y ˨Ō~fUVMwˣGdXSB[Q+QO0́&Kpz$Njg5P?el3vAdI,42]K%+P g\-\@w4w7| F `TƵi\ObD.f0qEaX%D{;uS]#_膢d#`Az[!]4؀8TU:䴫h '/}ʸ:,j.g*ۀr~m fʊ>A77 ZjC` cȆ7y$s4po|R!hN1~Yhn`f}E=el%U؝ȯ\9"ZV\|eJ2 |&@-SRjd4hʨ>- V83~|KUόy#QVLԞT=\ZA*lf{[rf6$70 t)pYDxZN=Ǟ딠anPN6Vkq釗n{>c~Xm G+P54,~a/ۧを93)Gw:Γɻ-yr}vݝ#f#^d+yu/g lcV=pVN|)iaj:K>6'uz 3ٽ~ (*ޭmW6aV>߂ΐٻ ~׌d\!'HU@ζHBd!U$6sʶXmКD`GAz0.>Ο.W\%ҫ6lx"{?t]C8*޹~;_OWҗgttR ];~SuUkp&%jV}[Bu4+w[+6査IПǵ8o|]_CXy+X0wt;LNsZa ;D޽}RtS_q#ש2[X f]'?#V\D Ґ^=&<-D]k0Dkrx, zO2;K*{xג}6 g %gj$E]үיNfSD^ lJHƎ( 3t(M\wЅG 7㜭cLƩdg'Xʊyд~51nhykÓ"dgl-}.(NX~,_o0+->Z;^/4Y&tB9Gޥw kz[a_P+GA?5SG:OKBy V*O:}%,ֳIV 7-.m&!a ͨoUG:N\JL2Fo}cyD=JYx ÓCs Hrg5/;6eJhm '~ꊭƶ-⺁B|>/qcP°g|2ɟ{bZ( wCfHю[*ߵ ynR)pR59;Sy2SbtFFrv5F8Z!wbim6` ~jШ)گ1A{ I+FDRN% Gvwipg0&oȡ Og `*^G1eR3|uCyawZ2* g*չ`2vnݏ|eBgItZYjhs[wGӮ'WZN- ҹ1_Y m7vtY Xgk"O#NnmcsJx=46+T%ϐ_;,~{rK!3x:gN5 ~3བྷrv/~'܀9uq:mu?j5Pè*FJӥӿO'h^Iѣ4~K}A6^N72`l6׎z6[`/޲>Yjz "`׋aDK%j Y6Rk\Ɂɣd"{/:%mK-y U႖[?eso $6(8ْ.ܽi_x;<7{ *: f?Q=>xgח|xh`ֶKXwUʗoZsV5m}EyMm5&Nw*[BOS%Њ/)[Z1'a:eRu_?fM(v('h8Ц\\eTT twArr !ѱ?[ ` ,S^pF+ Pw< $Ǹ:#3Fܙ*< ew l-Tw\TaqTWѱ昋/su`AOjܵ)֜Y-$'gA3. 2 tQBx'F)FrAkOnV-U"Xd :OHvm@mP,yCE369nG}No7:9ʦ#l \r)#9wffcl$'+{Zϫ2AdAzY\pC| 8Yy*c٢6i6~ZL޶-/д쨃 N߇S{x["ܷ 8N6` OJ|;{>/u> =&G'}|FIAbY}̿sSAA{r7͈8\`M{,wnH8,]s9zٷ%\NΏ?f%jK} zW|29djPul [,@BP Q/ Z J$Bt` MH3{gJ㛶z7AXMh4@lM/&h+P_! z1p6ۡs+}pcUkkS}dɛ`fmxrhLA/j'F8*[nr86}/@{ xFm|+EJa!oxx4}vg6Vp o@%s+en jT <^͵(C]Q4&-–3i#%;~&`S1qSUX' ى *>Q,{;9i,ت~-'Yg|x01&0n6OSn}I7A-&#r;qc .T+oQ$feќs= @)tnrɉϱ]:_粋6OGowVE0r;>_6=ȩQ#:KEf0R6Z$Qw+XGy`2 D.>gx^yDL8k|ɄS ݳNJ} ‰SvOR됵Ѻd*v ىrVT&'qE|ܳʻ`2p1 ?_w@ll"moE$+7BibuȾiPNwG}m F_Ao&g{C4<'갾كK6!|_tZ~ !kx)aj$s ؿ?2~ufHAīc p3c<.+ӡym'ixSɌo-,uh3Pr6_+1óVH;'eђd:[rj

|{-SaZgpRxN>o҅q-T{ gha ȸpC}`X_4k _TVeioه!@/liv= Y76nhP;3 QS{GoL~!ʑŷL97 {} *@v=$g3f{aso -N8Ow4?vݵ5GS8VyOy{:l>X{e2_M~?R` C@l!XIZ4>Tz40q]F'[ha|/C!|7Zp;zx|(.^ewU}<խXG{e×.Hjn>ڤ>OvϠ^v&QvLx}˨LVlʩIOiؽa?; 4@p/nVL12W' neI> IGQln EE SX.PS_1 T8@ #|K&ՀǙTbSV7X&-vsbdpt7fa1?@Vb+}N7}>)+1l Wqᮖm W; ?vg<3ƄN7?%7É$8CiO j&;_%2_w50dD5n{Ko!6<4G"ANmÅ Cky)vnn֞ĥptxC|pZr$o߿}+: ř c5bfţFU 7^ԡ _ʰ[1o/iU'%]^R^7{{ *}٤u-z,d.oQz(`"_?wO[z~[{X9z7޵ (ߛqu#>~n~֤ׯ$\?`bC<X;F # u@L'PCoylʲE"Э,' Lfuz4el^6$˧ꝁeXy3ԭ0YAkJrg'(H=v!їȜ-{ɕpЩhSuZ28 )G/f9U7s 7gt]Xױf/"Y.XcF^yHE+xjqf.R࿗C8$*RKҠkfNm3Uh*.h+ dF;blԘ%G$n ~זU:Ne̴=Tuuu-KyRH#m –M]]]X¦700ڌFov ͧ \aG: p&2}xe,̿@@Sx۷f0=T99It} h~FN97sJl&)5n`@ Mt1KlwI]2)| kB۽ʮnUJ6O>ĵV/}*% HKXk"K~Wkx4:z^Kp%#{uO,COiȮ 4Y/EDقl/=\̇ }of{tᗋNEF 76|xliG! GխHQ HL~;_/ex.i9ч:?s4>qy'[.zk:,ȁ_o=/Z~nYfe%T]/=}l^y{XA/Ȁa|=Mts{ ;As[t9w =7)-/h2f| i?Afx}6%;9&ԩ}~Ԍo+bd#Q|zO ܾ,!UVoOeyH_hek;8o IGvMq/Y.QH~KEnSñ &pFjwpܒ膋$|\Dې@x=#u{Y=Ol^Gԋ jv @RAgU 3hClIɸ9 =j%@:, _XoU?#c>j{(-[_ ZN5yƣ'I?rtƵ69q8apZ4CtX5+ɪ5@ճEip\g'\Ǹv&/{*K?;SWlE$2z }jHy$TxCsO3/&AK2}4U}_}0!f]}XC ^98Oqz1+z᧸B߹SCvF?J%HٲϑHmΟ|phZ/ #I$,/^d"c҇Hu gþwZ{^nOCAHW>WV6mN{ID|Uy~(Am{1ApJÅ\|Ggz.a} p$hxӁCO>9~ إt0l#n hӠf08 9`ʽڋV}NoklnX/=O,WL>^̺r@$qr%*USӅ &6U2;4ȍ VoY. | 7}m[" lVo[\׏FcxCOkLSIS:kvM3_k둱9_&z#h$Z q_rA>C+~l68Ɂ3R3 ~L@Q{*cc_Csm6ť@ y}j0JD-%opP k\խ]M]׵sz?c{"`]Kɽ;C=x:NcFBbˌC:U6ގ>kׂx8$d$6'zcɉbW~%3p pP+aCA훝^3r^X#}Hxp2AP"Ig&_]giϜd͙Ws ep:@%U-we;hQ 8o7h,ݵVr_kdeå6y=P\d}]y &:G`P0A}< +2Ȍ4+ -DUJw{L˞Igd9;iA5:aǏj3KB XȽ ɒk8ftl :gK9_M&^YHM3⨡n]@v3x-"gr ~|I?A*0`[7}L9t9+D`Af$w{Ah豨 @*Yy;I^(Nt,>_Lgv^\O:oA4Z7Hg|ooUK=͖|_5jJ.LWKsYe~h`'\~ll)*' L,CW^VpI2G[%-~\GFÏfs6j 0)5_y}}p\8֗HQG[:r4K/A JV{o0x3-U$( b%{*H',e}yCzBW}x^tkهs'0hg!`b3 dcazD!ܭ`HFK7fpX\=?5艍I B>MfV@Ïګ-y_+N౰|/G*ӹ꤭OF蝠~ѺfMa_Ҿ`$Yg%^%^΁ډ|xBlwG_뼠["%O^5ǣK?[0O{%%[(X4I<.o\%[@moK\|ntіusP*J7ݡF*w' Vk:1'q򔘒q|LȣJAs7Nt% p犬YV-cCݔix_ȌRPV'y}+NP<(OtasG3 `]uA!9pJuM%B8;y7 9қ >̘/&;T1ǖo-"[/s][BF?a,En.q'eu\?'*|Hj6V#%^\Œhxs[_y #:ysJr6QUO dZ 9eympS e4[/#>D|taҲdYۦ> 6 ƛ"8NfK⇙'o8U2g?݃ca:C| 6sr9m]{y7{UĒc䎾>K"M>'WVI(ΒMݳԗ<^ãʄ?\|3p_d8Zpkq >&lޣl\3x.|W^DͷmJux60/.aa:ܟC=|^Vu&[*KK_v%̅1_B~jtz7^ -~Do{@$ ]_K}ų>/ǯCpex^ 4@[î /{ 0=d"\P?3/e-)l s.g͜79(u9nHn뽩 2+Ͼࣧ0O4 piV=[K{ˣ⯿|^]l!~Yd[Zp*ܫ]</&pH%G xS}"}@':MO21t-].|jBӃDV1xDO'mUYn'pG6;Jbw+2$?7 2Ga?hv N_SkR:BB}Y& LRH.QRj/ ]E[ EcHc+;ڱaU=O' !lEWmOnВ܃IߛfO x/EMnOEĢ]t-2g5y dF(ыV'+Kw_ml!*~Pxq:oA9B(f,x1*9nQ_Xgp>Tw3`:p#Y,EY3BAta?6s]7*}vիv$4|l9ܩ4 B, ~@o|AtL/ I76Ҧɣ# jPf,gn|zkxn;` ƈ\9:7ǵexH!ULa~P yĐ(tͲKw]POC#>پ.oLᣙi![ӝjPK x[(DH>@4J17Hf9laTD@|s_먫0_R5!O$ p !C<" 8\pl>]n8JO/ڷϊ%'>;-ϓ飘`zj t#y;J id@#d"no~ 7avFJy Gt1LO~a1)}"7j %ЛY5B&ʙGs3 Zf^b@O2oVr2[4F>[c/A5Ph9'ZVwTp8j ,3;>,e_-ir\35}ԲGQaX t̶"rGǀ#tJx#ް.]#?oC-oN@ȂRdZ%k5))jK }g+c̏DML$ / sJ<>uΕn.)1ң+s< ~8Kpv48ڡMwΨs*ӝCiNy+jiN.M.uЇZN]T6|_KS7V{8Rxʧ,[ן뀫s#-v+,K?U]3W-ѻ\ZYpQ: m6o;뷓ph*S`R={{FAem);QY?̷CQmϮښA$eJn_⑾OpS3">ڃ0d|з2*J/G{߿~wCN } C5\|V OrVS~uth٥e.OEwf@m -ʀ#a'`]s\@IDAT!|?$iBeC' ѽx$<5AqwCO/`,c܊fvI0x >@g3l&SyFmCehSϱӕ}i> MHIp@Rj*8+}Ci1?:^߸ݠ-\a'{/+PB×eofp@*.vM99$, /?n;q2G&2e6?ƠӦہ\A06VlN3t zoLE-ml5$ Ymgl}EQ (K* x ?% ,Y7cMq2p;vPvuk#߱tlQAu:+<^NSm=Ulw1u衮 &RۊYţU $pdPIMt+ng,Bz>VCEcOG懏mܕ8@pYUe3<^7^- 畱L_^xJo["%:e#Q<\E0jϵVࠠCN،;7`g/7;8F}*1gGYb56.h|?ά#m`6],*Ho:.ӫ~1{ u%@G{;|\RuJ45FZ5dj~hs&ݒ. ;qڒx/~SzaK< }Jd|1سt=vXGoϷleww[['ޓ1ޕHC>p_Z`- ZGoڮSǓ [3Cp_ r+nb#y ;@Ft-lY/~KɏwanvCe~zzن6>|t:.!}56ty-n]LV_SN@1{3XTZ#y #`;ls ݫ^{;}`qQ7u>#7ͮ5uokpXB'҉fC>>-[$Rt!٣6gnB~@R4{!H6w}3@zet+>t*#zc%8s&Vߡqn59okdzBƧ?䯭PCW\,J=VjOk/1NW9-JC[M! .>#G&w{D pEIg1I)# }"Zcr쀍t?*'_` ;Fnw3MrbcW–*>d%[L1 ^άX 7{ 8m/8ZpCƁh1Zf{Pb(5v1DC16[d^diDy=P̆G_mMvg#< Ch{TEv]gȮfK:?޻ek.uuH^#u5p\"lz&ӽlj(jAo-{VTj[?fdʚE~ٲ ߶ ݁47j2$L߶>_ |?t/?:ῃv^=+.mafhřl3uh/_Kͮ/!ג ٧5fRp2?$rk z ^۟Yn+O/{^@{Њft4Hx۶$c8xs%%E"` d,'46l,7pJp.YmGV|89vm7[)&kI2h.zDCTf27{Z{]m%{*F 0ᩋݳ⩻V[G[COz*bn/~3O`Gbxeg_qĊ=C"+zHR.m%[;ѸЈe=!>G3݁ڑ9NdFwװ #Ǩpr -k1M@]`s:: J! JD<-T+}K|Ʀ ߌW#L\2 ̱ ] 3spuvn H oPY¡սr :-wś#^0jA}t J9YA"i0fxu D$^Dwᔧs> j5XC&w28F(݂ϙd](u*+^(~pwQjpK{qdt}=ϵd:*j¿CWNBK$o:$Rrʓ-Aכz )_k) S_ݢ;:8NA^dxvR[ds Urg#fL81}!Mk?z\'s+>I:bB'8%G+Ba%ӀgWw dqW&t6huƎh͖%֮ QI9x1k^?XHSolpgDNPJ N6 fUVVU@vNW^y@ Ѷ|?THNHvi:`*bOY3޳>K&$y]-35g\c:A{:Gϼt@19<zZ0ZUIp~ӠoAcx]=| uuAmo.cɭo- | 'iVq{<%OxUfOV֛CɯY4 p!A;$ G~ ڊ&?t2} }oW?|g}4 M;tp Wi&^Afv%`?5Wwnz]k3?\0bSI7jQ3Їs$33#Oaatt]vl= /U LΌ髲sdf#O*Sdl.vOu?aq[ M[9ᗚ=$:~mZw/XxR]kC2P\Q3)ZO C@eW>Du@VKh"hX|е'$tz10}]_L y?}m}%9|]~qig+$-&.j_L\TJ,{[rE[dRl);ߪ|U<:qx:[4{VPm_}|x9;Fʒ!^jtϟ:yh\h*;<M,l黣S;d *ETOqM\M$J>JB^W&%%Jt ~[y6.O?VY b>ŷ}maHl3gWUM$ЪxB нe e%ۍ)^U8;$4:dp7 wHm10q$S,S:NFl_*n'#g\G5sɭT%+]aiìzxvt]b:R_GO7Od[:O'+וaVT[ f22r /wfguJ@eenW$CG4"O9'9~' Bs`rVg}6K( IHt<$>ӟ:?u[J\p[)A>agW Sm:Y#}4F:vhQbrZXLB|cfjX$ǒq_wm d$<$u~.mw/#՞sQcIzAY/蠻vN);ל6}# YuCsXWn4{ݟ=K.}VS%SGl]{/=ϭ p {tUlppЏNML2YGҖ >:㷥nW `6~1-.fpV=HҾ/h GG&Oq VN-$_߸[m-wpoJ|r|t}2:cǛ5~S3Ȯl#h, BVsnkP:wݗpif {a8$ lV*dtNV/p(ɣv~z{-^Tw;"ڥK r%O *'fsk`˕j*>Zx(&GivMʄV3tmʜ>GpfyOwQkwĥcm_G1;swf〬Jzx艹ӫ'X+:p x"pQu_t:!Sb0mJG9:ڣ{ y9$6Ow~h`-f?ԖQClP ?LOp |Ӷr} 2,`ippC'b%؟%Q>8cPU[:<q+=nDy : !p=d e_l: SGu-;h`_DxFqz̜ǭJmj }2kי5F#9L{#oRMPŊ}S+y6x|cT7(YA [_ԧ>[5?}dûI.`iam 7߮cshXݛI\|'>o!a[ 4i1{4He|ehrxܷzf3"V8-J\%Ty 7~R"5_l_2t<~8q<YZYB,_xheWm}G '}?Zl,<,YR[O&&h$U? 31U@ qqkBAM2dKEN-؟& F@9xۃb 'xSdi˔'pZ st%}WrҤ䲤p~zhW><r쾃v -eǠdkqX c̎ez/գw3sՌ``Mfk{TMx4.¯:?Fƶ oIupb0t ڪ £fӏP>=# )3];wNasAJɆ,j80X'8u0aL03HȎ-[ـ@~U2;snP.@Yu y͒>:t[V k7W/^ pWg5qꅖGG;ԺX=mh>u/ΫXڛ \1kk Ð0nŽmtr>CZth*XLͮrGOⰲq|cg٠ h̙@i++ GTG?`D}ݧx8;..~Ё{7ؒ_KѣZ) A4 R%%0/<;yYl- f?x!-K?J0ek:NW>^&'>)uڷ ,mef'_ܽHNbѓ8?oic+.N) ypd/[i&GB~ t2@UR1 6X;_tl$o~*y&/Il W9Ktu˩u3Gf xYY9[ xBk&f!& _l>V?nFO V )1D|u Jt($XkdBWb>ID=>+qk}E$Itቲ©}_.7}kX]'J$mjӻ/mU隟]Ń]cMU)1KwU'}F.VU{!NW1=U6`&i^t^dL+ Q@يuMG~o uPuc_suKj3_L'Ofu>xPN{|xNZaPZ&_[m`;kGLZAl 8_n)*i6?Br 3/ugkOg6&.+Ig6DAדO{+Z6鲾*Di~@3?n|{ӱp-TWuW>JIN1M,GgB7|׊ek*!>:'^;/RZ߿s,=Ў. lr! ˢ6a1_6%Wɀ*ʣ ,~!zCq'ɪѮU4^*g tLݽB 60k5+Ź5y@-?qN}Y"P\l"|5Rj,tL0G~8Z.LU7$^%eqI=eqRY95 !1S Ի sJ[ZP՝]`-f=xqnmqhۊU%!dW)18(G|6 0]I9AsLJ+~*(e29u|(}s:ck$":ypq1\\?%0A_gfK )ܾ3F!^C}]4L ͎ BeE&^_1;]_Y&,g5l溢sb2e)%"`RIZbO])h)ἃ +ޖʖ%Y1HG6w͏}gOt;s 떪 sddG^aYbA,U%>U#ͦc ;YɆO,vg^-+b^oJl-cD#AtڈdM,P^xlp]N4ˆgыC&́m ^h}r:ek8}pu3ȵ@+A 7`)dujz]5z{ӪP_-Ɠ`L}_|AgxUzx$/KbYg"0">%w@ =ls~yQq(L襥^ܭ $dǏ@l)Z$#`Ǘ>ga}쏾|]ucǬ93do0q#hk>Za !~h>o-{|׀u~TJ=ϯ?^㶆8ȏ1~(< ,wK;7/$jm<{F>C:>- ?ҡ9\{oo}ꋋ_+1/?Z(1tS>o:wX%? ^;@%t6y6nvos`Vt\,#2Lo%j$gnz.3jgGjbem[w"|~ `%gtlhJyR/>=/{>🼇_=oCvv@=!5!\c+T?~}!؋S yV% V"sOFVܷnd}}RI,|xV7%*g]nBLksFCp.XWN_w+׺@msߗhS`<3Ԓ^5bϪo=R"k'j_Bw<;֠uzpbMآ= Zku}vY k~q,|Pm+$*GSEOWKT['ӲdVj_c;NڥyD7T$;3.zdګo>+Cp'b=d?Y5V>Zâ=i6>Ð'z3oÀ2׽r u2Sc#谌J4ߓr§x \YԷ[_:yfx>ƅIu>2G_J;jn?hvxkwӓ:d/qe"ENwm{4~lū-Cnnxla1x:uxb!AJf}{E87v1~PL*TڇV~[>(2X4Ql (m*aV~Jf`!" GR>$|eqHSQN{2?a|\c˦p,p%e 3%/iH K&>d<9 1dY+x`q{(kVb1DNsT1#`gp5+9b-ie D,N7 SpIӾPI,"#q_ @6x o%fǂfV3V,>MBF@zN\be;.y"9?*T.Nw7CY]+ԝH$izc͈̪$$r#<ϧY4_UQUTt9ofN̶lb6i_[ -.IFe[tqgjtinN0XVD\A#}ԖtYumroNj{yx4fڷ"lCǩ:?nÐhYivB&I6d}lGOll~~)1:]Y'Iz|YT@~XmPyA/Adti$Vc<Ұq>kc.Ze8YxK":B?}3+ys{|[-:W7C!VIx/V3fcƛBǷ jz:G m2q1#{>r-~p6@{M-[lmsp.dד,gD_`i3݂]d}%4Xch~p4>ȼ.Ԏ.u.L?{^|jO͈7DI8AH\_B!y|RFf| fZg/ӭ۫:ף,.~!D5 j0OGcD( MFɊ/O9PNVzbF|V[Oou7IGfc;HWq]ǶEA@%YlC a} _ Ͷ}}$ X C'[ޠ-b~}`~Ajp*lx@X+9i+|[‚Ytb)^aϏCW¡6pɇ>Q8ʾpr!؊vÇ'%f|~OwwK.5vp4py%=C#Trӫd]grKn[Gh8;sGkCpOⒾ~`3T Odk/q:Qm%Зk0(1e]G1e:yq|V>*L|2|wF!d3 6+m hAe#SKm3PNX#Z?&*;ml&nzě{\ruEDM7;SӰßPW^So'bK⃎ƻJh8ΨQY>;;Fܫ$?C?&/ B^b&NKX&1_*UӇ GZoÊ Բ=lPb)'c66FQB\K=c#C0zs?|:D69@2oiO lx3t1OǠiYB4Dʀuq] { F`~9Ш\ jN TV릁,x b38ucZNe`pP`; )ҕ]--O9I bM`1րG=zs9iFX;K9gHSZ;C`nų^AEOr:a3[T}NkK΃GZv3)aD`Q"5W8<1:VP{N}ZePF@#0{A1:#8`8^Ó\*C (:& Û֜ަ%x@^1vA$Tz"9LG8r ncӭNq&Z ~@&e UX^P>9<3^q|c~kS뗾vɊ~zѠ[6(ԫvc\<|H:t5]@gI4c] ^,)&/;^i :8YZW V+ldδ6֥k?:?ŸAJVHz `yddUi&Xf̿yo~:OlXn/r|~l)cT {%S Y7neOIw60Գ+=ެ/^\7G9Owj[,7|U+1]qWkŌ.Z" u%+x%B5៮F'jՁC6+FnW?\|%Ba+ g~hEAOYGv@ _F` 0 ?\f~(1AF[7H_ٻ"< :%GN 4xAӧ~KW$8{RjNM̦n|JC8 If#xLԮ3>|gFg>?ʮtglZMYY7'x<$Xs껣 w=IWw;KVR4PKd `&aM3~mb:%&d1鐶+i+X .ovJ/QϿJs }'h@^1p_y3>*eĽ7-THÑwmvi/sWyKN q UPFb[pG-#z6yˡ.}[?U'E{jO.tJN\IਮYG^vv,7W2$r4'ak5{]:wqmˑaj WzmO)<1LɆe+&+aovOǒʋdPcUߦϧ`SkΎ%_ӧn}vd$]p=%V1Ao*bqRђkxc#JLzbA~!ƋSvmO5d5.oaKbc+5H]0=,Hk}}"5UbI&1|pÄ Im h-_% c>K3]ٮg?%;|{-_P܄3}нU{i)| `7{+zW-cHAa>fmc[N U;ލ9|g9KLkb:6f|NzMf3G+EYI^WK\D忖<{vq}?;7ٻdfxp}Lcᨨg g?ܙ识cM j-V,wg3X[3:OV_)fU%!(&*V&l"vi/"e:Y|3ѣ-k&욚hcJbt$׮ǥv8ճ} `~h>7St HF{b99`x@)X6p(Xb@v@IDATY$GݤJ89 [m]kjOM8ncĦ$14HyR1>2xUAY6N/<"t|z"sVn?"*%?WCÏ _El놫ײе˙.񅃡`/ BJ,&~1D~%Kɹ~ K/Ius{dX# |(m(MT,>->@03/ 8,1:,uE|!rzW Xwpܺi TbJ4M"8,'po;XIgp,o ;zzkm ^ǒS䁟Yrd:Q^/5+)`f4}=g4;OqǵctБ:c2'v`{G<x  *X$JtH"y?cMqvI3 F~z~ -I ];'tNa7]9鞠HL&D}fէcm܆w҉KxH6L<>{&^0j. l /1}$Z8Wg^O3*1A߈o)*覄οG$M|CAt×O/kg4tK$=Jn1V$؉A /mV3Zu݀ݣh|9X)˻O_7WG Ž{[QɥhF͏#O$Z De(1[aw[ֿӟUh>$ #b2eƼzp+x;N3;d[T‹10t\*Yہj~^x~`RȬ.0pNWb6,f .疯hm8}Vh 캢 H:pe]L ij0H|_2@ڽ^;T`%0"d~ٗ,!‡(zU۵'7[z#>JD%xU`5Q'tE뇻x’#P -G(=_8y—%otmDVINå/Tx/.j_Z6}g;A.z5+ڄ*:~1.z lc4C2`]3{bA>{7iڷn5R|┞{?0-Ӄ/p+* &Guc &7KSIZ4*b, ' N1;pcN0((紈fZ]KX)Ͳ0:|#4 WY`mQlꞽSro@rpzI@(til;Up9mr oNBq-˨$XbŰL9*wMUJ o邶Nw37Ek/|x~nädmiQ(o)*YG. CIkl}Ok`|YsÓ.[y"7R>{umm,\t$ɷe"E.TA&u $GgQ&Dm*;z.Ksޕ^€"J'?T3ǿph_Lj-'X?Gد(lEגUgFOZ5`Pch}L@U\ܠ}| {SɭS]?/ᱤp^mg|O-bZM{Xz~RO^d*Vd>m ʈw y0tTKC[U$=#B- WK%-|+#>?q(՛?<P2 x{C#х g.{_`*3"ե1W'leGjK[Aqg֜..1 V̾h}1 %,ZvAIM{U7[%~ 룷"}4 _La Nk$ư_$> pqe8ZmR] IёPYy}.*]3g?P*b7_oY0<$}OȆ_dk&{/|?4 63\)JTKHNN%=eN Zh>8"\X6&~X]%'V>t9pOntsËb=QD wI+}l my&{7Gd!̀~|V3]D$cReJBNÇӧ;e Vˊ~ _[nxśpbϋUd݁Wg<'񇓳ul+SK|/AS=1L"E[a%wtA@ r%E4wv'< 4Jv v=œ8|:Ƅ]mG:e)WVTSYwl@NDz(c G/[vMJ`(#CAx TtS&!v}sVө-M,pp+EI/ '22Y ψաZNkuv˖vtBt=89,AL 9u[C0z׾M]33NbJIK2 #hƻF,ЉQJF5֮sy3FqaV93=y7F;0`appͶ"8]7SKrrbǬت{Zgd61-(=z&<~>yI5$HXn:x<8±9`?ڜ[|=eMEYֱ3A޽ I֫ ̡{[_ :;+ YbI=Hг% jgky>"G!rCs[(\8ܬY0[h^0JJ5[K?< d9̬ VoHt*{/Mw Ɲ%]>닷fK_yfMW1ن j%쩗L|cC?2y+PL/ $Kd<)/٠UKzC5}&;ye6m? gm%Ir[^>]fR؎lˁQ%[%z|l nJ+Gc:[M$Z%OHf%^< =[# /ھ  :ؕdԎ+-`>'K@TZQ_.)(;H9|N*?d:e[o9Y>-=^KPVP4=qP a׵mE8YyNͽtq_$_eN9K eᰕ d]y5s+ iV <2ϑEJ3]ǂ/pB<9!om{YUF ,rSkP1<$*q3PoNB(F'~. kmW(B/\ݻD ۂc-&s*p̀6uX'mR9pLF|JwlBx% ~W۪?΄K:j';. e25!f9لۀ1e?;(4mT5(FD~gfh~bFm_6s y<#aگ TUOZ?ͿO-zgm d3hG/J'/x6Ͼ$TEM%?:%WO?ǖ;~zA]Xsx߽KBz>t@_4< ou߿mz3 $p_mih@b48GV^ {>L #/8={y`6'&/Xy ͐mPp +xȿHVXbĒd Vu5X j 'J&|(a n~Χl/?sY뱋_Jz|vcFu _uM!hůoߦ_73b [$6(c]o AzpVm~f>-/i`.z鏓W%vVYgǵGOylA\77X)Gn׶qA|39]wh4(`Y"}@gM}># |d ws kUfchyb+ܓ#*͏0x@@n_;pX"ZfCA =\8{3,iA,O臓MlgW߶L V<⛻~ Z{Ge<9֏>h2sVJ?>ǖJ]eڧN_@Վ[ `ueQ? W98 n%~ls1NlV|z){%jsܖ[+ Ϋ~ ٫x|$>q3t@}bI80Zȏ;TѽS'`6dzLޓ:﹟.j'ԿNdyG>=p~)X[?_7~HxV]xwb42Nصt(2q2x1\A)]A6.3gF0lfRP ce(⃩/ϔzpQaŒѲ7hO SIwQ5Ԙ9ܳ嵥`jwB]p hA8 H <:RخB-:;'b<î(aiep5?JGp=Ќc+-+>D&NEG7PI~}r!˿ k}!Ǚ2FөW4[x79o^;mWCq>| ~J8_YZ'39>S3V?T$R,G6:$D+9q3u5psC0s[A |xJ,3ٝyɄS6sC'"Sv̑W/8}t&߲YQڥ5_(p2ڢWhu`mz[f<Y]J;ݲeGUMP@B4wg/ {I |DZ/T/ѢF0pl8۬N#r5.ov|lϺ ԉ-ΓOi[Z!;d;&W~zfqwi:(,@qþn'V^HT\}ON%:_eL?vz}=wH}ڠ_O\?o7qz7W/~|IU' 'CD`k0kC,}P3t2[ov;3_Kt4 >t=,8u G'ʔ/MPūV kt ]8? pE_l?~r9ۮ\/{ׯ79 so<WI2y 3V -ͬMY-I~lz ox9]Nd2-# fI?ď|`~r=;su%]?յ%cRD+ju~n9-`Np755d)x6!+6KSGOwc[xPO][z}${UU*-Z vﴵZ+W2GGDOw* j@l.TnO0Q8 (;}M&G'gy3ʊ"mA9W}©R1B#>/O2"IT+T߾>x܊ BnQ2AdКmPʙ|މ{Uw+UtطxL}(i2AGZ|mWحo\'+D q1;%b[ڀ]Eeח}W:ڱzdOǏg(]dOx *YqvCt+ } 2w=Ζ.[ʧh|k6{l5?Tkk40.=,g?^_+g)w鰡v?;WG7OauS%ôVs};g{<]|ď?xVu&LZYە&8*O7. X[sjA V3h//li']=hL߇GtG=/x.Q% ?'*?nA퉧sIzlel<~Mq`cbV yd %n[5ȸǁE+5-t& !* eϱӐϮ08`qnT.=OfKbgGHt2MO .INz1texqAwt:_k3jwBBxؖ+}Y>Qfpm g|P~\qZT%Vʼ8)B?is*;v-&aN)nf PEAMXܫ4sd>AV([m$kC^Bȳ3k|uرls 5v} یAV/ nVlb72B/L_@e_%wM .` u`}r?p0 {5Ycß^V2e&8HP_sM&fIshSPz`=n{AY~? Rtѽ{'Dٻf!J¤>Nt$u l,>6LrNǧw?p׿lc7;p/zꑅǟ' ?|l uЁ_ruaūYo_K|OQj6۶ {VqWt.}1/0S$tf`DŽ2XO~w%Aǻ&%# 6fB./,9i4݉K3mHtur1oh>:tX9L& 1ɇ6&V8ރS[1ߍ𳒍4__|{Q% =j9[||bG&j:S bJk\qt6κ'DIl0S/X{?_?ݨI&\aB8 8i QRFtmC'E/@9p !쀓q,rN#Ǽk"HGq$!?ӱspѩ:L!G-h֣cу~d8A Eb3nGTq?u'“c׌a}ZX%42WlUGK~w/r<'c2o=~xJjͨE[FY]"bQO-i΢s Z6c+Xa`"H6{saKit$ DZܩE ]8B-ֽ4:dh@*ǁ䪸ƑeDʌ hǣ@^fdg+ 0˖ Ug &R~r0$bnloRozb񒢬'M'7`/6LP~NwAg\axZzmuK%I-5]D P2d;;S:]R6N=ytV=tkyzuєо\U!yʚ֕H)aO?n6}lw?4`~YĽ/7IAduZ:A3.?ijИ=L'?Kf-2DUi6{??k%7/D7o/.u_̼$JH}߬\6;_ۇfYX3K35+̞׍隧 X掾?z2PWMﲁ18kAk oߴ>xr`rKQ7H?7wuɖ)K?|9X"O/ ҳ_~|=]yɯ %=khxꐭ8C+*]f=@Pr`%X I4 PLxI stx>なGU1oFygGߟ|9p RZpeS^G\h)WUӏ7YE.!-0ѕ P$,mΊ|%ABV#vי đ6o)UMï&{|vxNcKCY[ӏ}@G m I PX]q.BoFƝ+=txTo~!kb.1>IYe{65Zb 1A6{%7‡-i.A_5#^cl:v;"܊ԫ"L,>}뢺gڧKŪ]S[P9p">(p#7ߡpO1w/.O)jz< -ehǜ6]jơDUA`6BTndM%WI?ga5ڻrk}bv'րU{nnu`QDp*=~c|1 o8V" O>VڲE$K4;GBY/-]b݉OY AƄN_UffZG"`>[H]R7˲`?&JN @+ak`ߠ5Z](c >"+ւjLb:b8hk;BRcw0js;9tzW@+6,oFh68V/ P. IxMKjd ɚ7{L!t)[u<=]t4^=zh5d=hD xߪFk;e?<'=F\p5Яd'ݙ##9lF{h`7C=iNdc8:ZJ`Wdғڭ^4С=!GqhJgISoIO‡ƷVϐL'|xTw]}~(ޟn_D6|ٙ,7{+^< TU$uj$POo0 db)N=226,4Lj٭ʺ.K6?CA`܏#71::, 𬬱 'x..^hO?{CG h [KDN473Κo5I{S?~U/;@1n'3G ̚ 'qe3W!vU GbF Ozz5+ xLC׾d^<)$ dA6O{_T^ֹ/xA<2~Z=48 NAoXȌ$1 K@#d鑐7>iv'e`|`騃b腯C/@>xbD_ɦng{G>vI  y t}<6.#RF{_ڧdYZ?:6e'D # ح`X?ⴻXM͒#ԇ?V,LZ]6J{h;}g_d>4: NFw<%)󯗾̠*1p=mv&yǫSݿںŹhW<}f'){f77xPzj0­QJ[!O}ƣ%4Gb@걒K4#2δp2trt+l$Ӡ%ڻkC=%"I";b>o.nl景] Le'v-|Zl $$s'G>}, [B(>OQ^هv ++3`VHt]Y[ Tbx hv?GG6 ZpEK࣐?au%o4=(ڬceMw'ϣ]6ꝭ,nOoCa%OˡiI, _jL?ϸ oʺxA9iV1ۧbuV@W_54>kXWg\ xKcW,5HU ](u^. Dpf#5#AXk:mA: |fZJ43ux]v3l\BS)D5(Yߖ4O[z.6;|z*xGѸN/ȿ™ޏ9ɱdr4wD>HJ˨GNs{yhT0Jj٢'J)u Mz%Poonx3wz~Va`-U 9-5`wc:U?GN9j&C|x/TK B/Ua5sKYwMG:%[Κ4 C_ndoF{Z!#?4VVaK.IAi$k;%!|iQ-ͮYp"^<=Y0 9F ÂSSfvퟦ3DfiہF%;wY~L8R7l@&|ڬtfQf "_~h"!XF^ϖ-7KwmbvJt[xiNNA"rʳUmt}ix@,|P%u@ʑ ?F.̭FkN|J^Ckg׿!^Nx 5h!|t?> {m4'{#qƻcIϟCѓů[>+@HgnZޔ.P|~ؠ 5oY~'||h^aA.A8ت-W[Km"iU?q8a~kz;\wIAuum_[ `,)A<]~TR"_^-$L"I+ϟ̂ vA&?W2H}`)ìs66ŮcczpT#A#OoV1UX]Uȏ/9=JkTW)- t؋}| ~Z0l~.fU/F`k0?LʹvQ}xnz}Nj6 ^*wxp͋Y?Vp@qb n#WIӅu}׿FC\JG㤯/$J6,.?kx$vӟC8k[K9B-6rL& 1Cܮ@riL =BG@ݗMl'B>L׾Y *&E3+ ꝾnׅZ y|r3@IDAT[F.K6RFq8O}w2@ O)TtNdD]?t |(Im V+$Wⷾ0W0:<綧v-ᵤIړ )`?Z*YFO\bhicM l+Dw4+SGnoV[hk@ 螂J`'dzr4`T[PR.~hyChǃL1u/~qe+/o YY?_=Y>QW(}It`@ɕ_}nv!rٵ%@@ aP)#8SX'R, ̀Ձ[ &Vp25n?N[A4@\It;,˲1ڤ4\|FWXEߊ86?P-U,OR 9өŇ~N@'$blKNn3}' C?EZSJE=Zhf Ǖܵ^ۯf x;IbȊR/ޅL] I^m_r̠W^'DCG)Iᛎy!,5)f %OO6kK{9ھq'PDgmmVz%cc q>*ug29~̮t-{/m)ӗ0ȧ|}8"zvGؒP[JhI }?l{S ܓ8oؽY <_‚YzGV^|o͠SK|}mSp`{.Eic`+ݿl`;V^r}[vs1HW6Cwx nOlO Gk,mgw-в>m+дYG$L:ס,^\`mbW+ rbBO=>ktTpP_V>p$ϭqךۚ*$Gmv`o"B:fxV=3y7gTxcmFM;';DCE;[Y?8WH຺3 \p<+$J`Awpؓ}GȮ7Ox#sF׶CDž>O=\xʰ]`MV&$%yS+] @K *8w_O}+*ҥt&-Ƨa))YM*/fc^{MlQ}=44zf g"q&T Τ"˽f¯=["6,6!-~[ͧỄpTg&Hم8C(p[}d=69V;ӝ DfctƓtW4vMOj}7xCǓhc/$*` g7CNLJ[ψNYUzdTx͟מ@5ҿ}dD44VXg-u1kxMOF)W94!KHlB'}D N0f)=~X{#8ȀVMd :aEAUHU.-uUE!45\R՘ב1)NU}*"Տ|`lH66ڷ L2v\e޲dG_nb 93J4g 1\63 # u`k7ǶOlx=X ݰBJgF8uM=:%}(Ve=~r3#|_./ySB/yu_pf/=! 2` kˋ_ۖР)~OknC{ұ_([Eo_hɤ $67pl5_ z^bGV^;w1AB[hp VCn1wku)/чG"шЭ>߫sɚ(]ؤN yE 7cݷ!z Ł3zibߊo%QV#i M˞/Ӂɠ[X+ 2m D~tt4qya?)%BڛeXLNVx)])0&E.e4OXcl~tǎE [;tm nIW[/5؞WFF/%RЦRAog5teF1&Ff>MZKu?V`.ifVrxio=!xNв=腙ͱe@NY5"5`DuӘl609Ï15m1]\4룾/A]'~l"*|е% Җdvo?!5|A-AZsVKWT\աջ$:VK6޶~.VW6/R2Q>Z0!TT&>K֛޹@ g NrEWB_J|`OP}U'߽Bh&{ow)Jfn؊~ 3H{Tvb0c6 3F 7#T6B >9D]g^ '22l-^7p'mc ZI>/y1 ~ TԙV ҋS y#L/$B]'8S 31rK.Wj? rGFV[=4H$!( JchB*rnd7p|!F>DZVuwx*f7b"^v@DxP7|3k^8h)t ,lAZ&Vt^ ?,"-7j9Å2ڗ} ש2cǓxEtȎy4j T8d}3E[W(-OoՋg Kdg[rHt^}8>/dW竮2Emr:ZM-5%ڽUY 9?] 5LZw)%p oY$Bz^|-v{ɑndD[k/Iu>]8U~&?22 3@/ɑJh73\dh`٥|Mo,$,oPNyoae]` :5  ?@מak4*!]mFR|@\D_%^ j ?]$(8fŏ/Jd~$#fQDt;E*Avoaz2« mIO Cyq(Ж[^w>}o%A ȷ=Ei_{lGuބ+e|wvU cVأlkB~coH:FC%=Ӄdf:wSl{l| _GzKJ"%c4>'%g%n*UtmX FOo>AxBTf+- 'sK $b<*-XW}׫=zװxXbS8Ӆ_ͩ1"+ǶDJoߣ䃋w>{Cd/Z?{> t[[2 p@;h^]_=76]fY-+6}{W<Wz<:tNO\6>)=hJui*C 8w[IOT^7zڤܶxVuvyN>KC)XC}TY9V #4X|Y߳C4MG%_P }Zۖdc"d)I_+#fr 6`y[AEv|Wv;uH㐾pz|I}ylq$Z%h@#*_k|-`5QF\h]ޓu1 VnDՁ^ 1>+ {3N|`ILw^0^ &)`?΋XF<'İNMH8 BI>LXz080(Fդx@ߵ}1 n#3 2҄>GR(sza@mD?w @~u*0!lGwB{k;  Fg"(+MuCf},`g:L2u04y,xf:C̲9.+*,tn< ̸c;j21P ':P^ 1EC[st]PcGr(~y'Akf0WhtkItk3z^۪Hʜz.,4)X!%&*ꂹؾG[2>w}{˩ZWsfjUFEL"4Xd8.QWe"9P6n^ C`q'OƂ`Fl={~p]@QExKVtim >wg;n ԆCEWӛ&= mSŠp`GN˶Py;#\Nf8 L=ӦĪ,H>˳})eȉW[?% νJ6vPDW^wm0R#:;k[({f fLm/ol U:ezUkMg?Tn;A[mfI_7߀2+"' %K0;LWX%*yw8i8_;wh`Ēh?< xet Ԁ " 6Bad V?ꄿ/?z:3Q; :0s>&C+JI=]n  hHW l%1hPS3biu:0sړZV GE9'iĎ,ɧNxKJѫ~O/ix 䟾{oDѩx2xdX*cjeS)oV& ; ׮ʽ RѕbW}npp)w仁[8C~V@v Éal"X64DpT&s8ă~jW#/Cb@ }&d&K溒,Mp&#"#3%ѝL&Y˺U9Izρᜳ5[Ij7~<AĖX*s#;p^-jö( -i[=+sc75o.7?3?lquz;~%~u$dᅾ~mz҇b1TUu&DǮ+oK|[چMn%D8|v2bL%ԵZxF趍ԊHcaH|KS [%9[xel8TR6ռI\ ׬JA#*,i$YŋyE[q>ZB'?lQqd^IX`epF6nbh8D@g]~w2HH=r~;Q aQd8i t!k TJp0FDz~KƪJ`åA 4'`WW[E;ᶂ aȒ ,szAI}:7-`u٤.&E៍Z`}̗9p9!0zSqaw1֎ߕ;U[Sꬷ>Q*xt0#GxOg2}sY#zn++ \/-ډ_3>9Gk`> ¦AJA vr`ѓ];3]*lѽ:ht1$,'-UHeu@KdmGG򵂄, 'ckʹLwggP[Ge|,4]y+u-5Lg LEո찎܁s]\Ajf  MG#gash_uwE5f<8eow.ş0FK3fK&|,$O2hi%x=sx[,9w9MK-Ӿ}?t ˋJKtK+i[9nj6_#uAM$;,{U/_<ʆZ ?÷e tS_~oŁ1%h|#)Z޽PJԮ>aAuզ$KD0N9: xz=hk%N8 ,!\{? $H̉ۜyXqixc3׿aizʌ 5A M{T'Yh۬\+M" 5;X[[Y=.CƇASZMg  xKΏ,y}…ںoQлkK^CKvG`2ʪӿ;GyÛʐ}qδk2|-)7DVQ~7[<-+u^TvC|`iRU[% ؝Z#6{{2z#U|UTO!!nnVΏKH+Ҝw<@Қޓ9OVCk JqxLvg$S]2ɎO'pk[%䓼P{|:%OsHy!g}۾GK%>U̓l742gt*#Zګ2TTzZr Nnm8(cj FO"ɨyV=.B*L[}W]Jj%$i lIs/@ [c0IK([3;͎1Sp6LvS@Z4֘BW{f{́vyˏ7د 7s4h@? NἑH2>&h+/9 ٱ%KYƏ'JuIߠ2 RJd,YCED-݊@NjӅ%/Փ:<󲪃"$̵?gxxUɞ3cnDw,X`tL*xg1׏BckoF)czq@Z3&\W%novlF2A G/NsAzUoTt aSwkӽ-${^ w o+6bve !]hC3Z]tO:Ŵɲhe^}[ t(1A?(7hNJ*+u*-AUW<ʹhf蕣 :I(B5! 1J U˻؄6)fl5,-x \!3P[.Y`/ XגHߟ%0drg+@/wՏ7_ 0 :h%'8#-<:T'ؠlultp~I$;GկO'H=ܴt3d0ů̿h;xL|O-o=]w'%Y~-^/;Prd|EC<,ɻzک%+2,69:|DG>p^{P_?Kiz4va3Jfߴ2A|Lcx9, Xׯ:?9 e0*aum=8?X-e^%YlO'_xo+m^ =7J Řѽ_Rm/DcY6Q'h7$,'+ pzU/7{9}bĺDlF q8Wf K:Z>to'MN2 yh^Ośj`NfF2/\0f$mRĻ-p!74v~zh~bA/Nndwtd+Dݤ ' C{ GϔLO% 9B /eGv9? NR^@Pe Ju> :IؠrKhǭ )~1PR,|' 9%xz_vuNxf:M~adZ>Jb/HF|[{X][⭭>Kmx*6ac^`XkrB8dWbGs@=!Y-L!F|-FY++&&dֿ&'5b>{_!LI@?&vHehLSq*;B izV,U5nJIϟ7}y3z㌫Z})I=Oo? /#/hm 3\hxh)~'zճW > \ @a3,C}D}fӧl QTƦgd^WO.yK x)DȮdžbkb3zd`3f9VY2++F9h]F~_?ӧpO}jҕ)<! )"X"oK uwrm>dsֆ}x1,aRA_}߿^$C^x%Rk'ϫ7sCOhYt[KH!$gjefү[!]܃ѳ <M|G ;(^|OU8&ixTmO(Rb_ S6"6QQOa@SEV1?>tMTOU{>_%ZCk 9%->l=ϗgGSNsFMzi> ?z"y8?Nr绻<a%5£ơ6`;+ڠJql lµECٵ0zA}೒y+ͷnѢ~c>]! s(.*<oHKz^fл'slHC>sj=();d+7ɜ%>7A5>gjY l }ۋp>;m;:@׫؋>8$.#o^>GuNfg٪!e;}{;YYE kl?Q|xђp Z SjԡVc$_p^"\bm6ڎ'LGo/[w#] >f8J`q/v C?u޴Ӯ+W(^3Э9/vnx7zl߃g#ޥ'р{qJ?cpϏ:FBs}mjm70&)_e̴bƏ귮n/Rev|DvRcW"yw׳G+xOz[ºo^hŖh+˗I>hϓZvyxl _G,˖ڄ۠_dUGs}F7iwt~t<]?)Izad:IukmkrL1R 2{ DpP {-01_3 *r )^.PeP^P$ NPƢŠm=E1l, qR)Yp>11 ƆꚥD o!]'F?&`m&!qBЩ=(&|M'3d68nr>5XV̠;9Dm m amq"ZV{QLH7PÃ9`fڙ!N^ݡwA|y'm=ڃrsY++ah^k98**UϜڔ\۳ʤj-h%Klh(+G[@g%AZl^eAVt|n⡝_ZYtR`awg{ ПUP]1ȒnъN 򂻭Wn1^g:t8d 8d=u8ZOVp*a ?.޷9}A͖?^\FC_6[l`]_|?}'c榯;Z ^ܖ;bOꜳj_>k煩`ORxhy^ d.7GP-}(YE%l3;ݻwo{ę2e^[;?$IR`H/ !'G~{m|pđO%˻fN̮Wx&4d'{v:zn>Tflres\̖2Hquԓ_a*I13`:˴<>wFe+V>LnxmJcR#F7бbSl >XFxΖ˴ƼUyw-Hf,Z)ծ4P}™( L¡{x-aiԀ91; Zv+ g ﾧ >俺x[~6%`O=|X#N8R&LM;p.k6*-$&UX v|wf3yIb%ụoq'Kr|N6=gU٪m;:_|j٠>{Iڹ+劐wZc:+϶Kl6e\VoB2>%KL誾b(ٲ~@ӛ{3-I' $0#k0fQ |<;qiex?nI6 E?25d/{i+@ 3a7GqD%ˆ4YbZUWˀVSM1ϻecH:؞F_лלÝҬ<8d)ҝqÅSXB"l;Ayy-pbhJbn tSk@~S|PVtzî]s3ƑR^)ɜ5w+aၯHf۶L*@lL0 N u]Vg)3T{@D=z[Xo ukeI(o{;$ZCY|/&+|wt_Vpbf +)|@gp{e d9pNnbN*9s-?spptP8AoN7؃Kffʞx: .^%:!ug-gty+az[ HK# J&ËpӔ;BGq} n|)`A,0bTGvbsi߱jg&|p,A/nωV,= MCUl3*Ӯa @@IDATB8!GOD >ұ7,c'[ =1{`v4'ȅcS[;$>DZ>-oDZ>id ejI0? vOVu:\"ܡ{y V?8f _ "u-җptee~݀ Di?; {Oy9?$Z^= 'xVy'1#prh~?~-wDmU"Cc{n{W OW؆w% b`:aAP6{.xŗa=̜$8ZYI\VJI3>ā/{DOmyؠ8Y:́Hxoz_`伈jX# %sctaF/CnZz)?$Wj'Ncm4P%LU{\-E2&O?x|3>B"UX=ţo`V\BM-lҭ}+ݜhA[ou2U}`4$/q5m ~i*Qc+g?p>эᚈ*}G jNC86fGtk?{@~.VNe V%Ÿcv-.ݕ%# >lP^|$gJ= '<t7:ǡΔM,/^f],_ 9k|b[ j>3ӊ:4 | /TUnxL3[7m;-67+{aldhs+ijw?z L גb\^<3ZHA?OO1Yl{&qP@sFp6F*5]{QYVꋕ,SlKKt`l929ؓU`z ]HR,vȬcfg}:֍u3+o5&G0 ??bVChӊ_ANVbt.O+n 7A@ԛ+dG<=0Qz.#a!GG$aklGz==/6I[.`"q>M2ģ59A&P,捂$8wHX)Utg%G73zk9*g3BcGJ8g 9iyފheg/$Q. M@: /Έw]ùNq N Zwh20XY:S "G$hFn1 {<^ɇ5Q<]_t8U>sXjA/-uWtr?;9Pp`@m4QU3:3˜ypN+z'YSN.f@99aLsd .}T5~tWqd/c ,,+HXF09ONogA%B}*c :,8kk6mNz3[Lnﳛdå:I1/6ml7 $n*.3'%=m&ö"p: Otx1!M E^:o]"8ؐc`J)l/?@⇎=7gnϩሊo}[]@}hѯWkGtаTnl/q^q6R[9f(Y}q_gI"3L#|nv; {4y7[nbB0wЭ|^ CfS%%7j{ 4exۻ-A~۬3lEJ e8G3sڿ{؞{a˗/;i,C%*neAmEKobҘ}Kk[Еі/W2{fncHy'mSR:=- oC;bA~uP4~ v(1ym%߿yL3 .^x{ݗx Y  ^_t0wB}ff)2muΖ9t*z `#Zse͂D6`@zha@Wj9zY-x_ey▦Wch 'xr*?IrZ>vp-?C59{ Tm&rhY356וJ\gUWݧ/w$|ya5_2a0_nDj9TwwyD U>MhhzId{ ?>P P?|7r$u׶{b<}\szp̫F$Lf 4On\%@6:U?|0ӥV?WO%-?x6H@_ .I.=F6ާ"=.񩏏rd ~k|;E"CV[.=z}&ɧJ7t}Zt*#`o̎uEtv,~WDg3OԸ{U|qwWZE72; -K `4t{K%8t0tw1L7Sw- ɖ3x+$}pt+\kjO8 ܪFxJ4↺3;|;ڏ5a|']󩯤EWIV`v5ŋRt_ =X$Y*o|Qf1F}&cޞ2UA?A҆|`aI΀Ry^/~] j1vo sIJ!f4<xb+W[4u+7qVRԶó ZU8Z^K ? v(o^sV-n"DgI 7Mg{E˫Bh5MG'!XG17dc}IcQP@CcUAja鄸0Gilm&h1+8{}J)%C(x Ort$lM7CES49= VOU >~Wj7:o o+> :B%3fp1-óNs@i2BP F }T>g]4NX)GZ8T2҉0'tu|-#s:y8Ss.כH=jpE~:/NO7$"S֬9y}uݟdKse% _l8ş}A@Zf'oɋo6cL0Zd3t ޷MK?t: foŋN^wHtx鿁)9 dI1c}dg6ݶJBC-%8<:v O'؃s'(%+f~ʆ4Zh't2}K>?וO036b^",W5cpʘӯg뇔O}73` QM=Ǵq ^zkvTo־ve}>= D~π/L5N-Ƈ%mU28T  ܄Mjv #Š+߰17/0|9 1~\ h傩MLb^kJowI~W>/AݕMtbOO\LĎ6j?g>z%tj)(AO [6ڵQ)Н}չ"WΝ0ߊ /1?g@7XtK sƔp= 7A@cڙ͢%؏o@. R-7phNjVAY>R t}0|S& RN3t%%>1K1>lYKH `)fBr'2'sd0q,O~Paŏ`Э`DL㲴g΢3ɞD:Lxx1^OUx=79%'!M#  9e 2hi}l2 FO[ ӹf *MrQmN'r<1W3$/Eюfc8Cv%Y5$` ^ J ) >̩F``3N5}G2{39/OT=42>2'sr,_;Y4Tp{_@rƖS.z^` ۬vT-VGf4Tl\5Z&: nvВr V(l믿,:h2@5h;)y_0lۿ}eş^xc!x#`ٹW]oEh9ԌuD񔬐af ^k;/#ɪW& h4Sg:iz445c>o| }OϿ]WmiV%KmU^rS]x} tybP ߊ.~m)VW1ؾ60}m!Ɏ7oN^لXEKФ1L%4\ w#˧wSU=TE$]0ʗxojK-MsZy쾼Ս_`>18e:$j!_ Vcxw~k,YٞHVO< tgXݕcll[#M{ٹOcXNsEJ;dԚwۖlj0MV_Y8ksEFDui%(ƩtW`Ǻ*Vy<q@pMxгx 갣>yn;} m@ɯ߈V- "×m\ݮc, FF6 x~0KA_[LJ mO<d7=mk]p!ؒ)} JvmÏK,ocw>8O~^K*gx2y|ZjuԪz~O.[}rm};nѣMY!IƩe~l{ }7ưY?{ A-sߏ)* F<;@Ik`\ #<h0$/^{R|f ^ 3tRۂS` ȍm\g*8} 1oE0 } wK7ӉTŒ$Q]upک%D k oԏ眾 DmTeIxHa9wJI,_4UpP>3Z;)*z!,a s>F.tܕfuP6:0/yokrN>Al̩VBY2f$ _r[Z0vK^ ߿sb7&S;# > -_1ρ@ >QknxH{ cOXjȃ5Ouz:|{3rߘ.+ċlLر29( m8s .7^cƖW!:vZwYijqwG0Ì};rZF^ג%B}nyF L3'և_Pҥ եM`'_7IfJq$ YvK@/=64: @^3F3ZZkGgVqLP+;{sChI ?><޽}{q/P{2@p,`/:TwT5&+{<Nj'ϋ_;MW2j&[o_~KfG#+'OJT;4<2'lokztkdG* wo:*ݒw_L8l89_'g/KO(`ߵnw6Cc򳢃}HlHlξ|ig@~^MQrEgySl 'gI+/=K21ׂ@rDVK%~ǯ=jy+J>6w^³: ϣe(Ɏf5'd^a/Opu3s:uIwR[AmtWW:]_fW }zw:/t9CGe$ub$_-n7c}f'jwz~l,Z^T9I5>ⴁ 쳋}[=ʋ9sz:'?>2 +ڽUd">wqJ>dluB gf`O~wwx^Y~\;D6m}-Pҩ*UL6VgБ֋h蜕Uqܝ-rTʶhӇ/bl ɯob`? D?'jεb+?+\E3'tiLI\ x"ZDs0vaӯRg'+`G1K$WGG7j2[hV)n\N2? +8*?akyCCלGÅۓK`[ؼ|*"ۊ9#I)tPB&J7s+X ' U0잾? 2cjs{ji KVwItiOgbMfT]Dl)'%d`ἄ3>3joFܾ2 LKMt{tϮIdܡ]=w0B}V_pB?ʅK?*6}uzWhhۏ^?|ۓ=lO?*퇓|{ؘ;X$>E 4ɯߑTЧJ"6qwBԉ=f3EՏۺ-qHR0ΌGt2 {ݠ@2 ^Zhb9]-f6=@"m<02ӛf17G~C.*"[VS3@S?=9rD )O_2Km `H[0ѸAw̢L Ryے`pP8 Xeu̎ojSc[U]p] =m?8㧔RN9D*;l`Ym;q f3Yv .FLap+E@1VFVxdOѣzG#'e8 Z1]C #Ęk#g~G4WS\R!6:Q/VK:]leˍxp[Tw!} #JF=68g9t!|)X" 8=&I$d]ccOȿ9)9/zd Vl Nle3Iۉ`=(]w8HrhSZM%JJO уKlfKT[UJς{[ie{&*O JTKFruI8}A|=\<5Ľh,ٵWge`Ά}\Ob6-,0^8>x*x|$4kS<đˬN|_[`eX ̀/FwL:_i .a{4u{Ƕ.^NVIh>%?:9:L.xm~}ᰃ i2\!Ӂsu1? tv f^Ɋ_> fQ҂tj|U% aIn' ?Xͫ z?%‰y{?mW(CD)9xN[uC_7S7cXh((`7%7,&)m)<߶u֣ G>/ђ’d}4LsÕG\}_[ 9ά D<,/iδ_Yfc$wCgD~gAIşD;OAr)քm>d?KxzN,;YV=&-/ }=KQjguWm}g~}bv=Uރ_2sPߞ /8Ւ~ؓVpJ y |s-jquٽ)ά,:[/ 󃻖W]~tZnG^e *K:1q 5ߕ$ = bԿhaʤ4/Sx~w?e_%cQO^<]\IihYVoeԀ9y}7Ɇ`ȗYAG?էY5;]f1샩x"dw_͏aH_oP^DC]Tm; &)ጓ%ßnU`ō/g -zvș֠>:ݳ*<^k0 XNtZy'R]ۓe:}']sSׇ/8ӳp5;Bz kB{pwxopqrrY\&f$~xO"]~t' j倥ا-N8e0͊f2w_hKM5N߶m\L`⹮#% '$|>~`vhq:{a28mJt,K0Vtv={2Wο„1[k& %L7G0 ;I b#8?W"jd2]L-fO=K c%ؠ8m+8pm$y!xtFK+8/ܢˋz5))=Xyl spJ( |/)ts FwWm +CR8i#(WT`qj٠bko<4ƁÔpMv=A@Fu lAgʜ0lydc[xՒL X؞%u>HG ѱ~oOWQ< AUP V2fRutd72mBl 1]Z$8t9sbsx3z1M{}Bf `z :O{0w*=U`Y}dea>[3)SoJ)tXf^oiQr5 =mύ2l K6rCw}vb{ze?蚏 kNlw#|!=`wH0.ՠLxJwf:]3 ^.q?:|~/ BgM4XA+_B}|n ;3D. B04F炏UւFLs~iEg[~ ?:>fC?MJZ@7jr.KgOV$ŋh pp.zv(| KA\sYſ7s /]LCЈ5%34?m9De1<]l+0(d`Q}gZ#M<)J '`'f"X1KvCo |ׇE&Khݭ^hg>"IyB^ 3G~MCy=dZ= mJq0駓WiV+Nc b$U O)rb7V%5~}-6EWOJxM}%>WeNኲGj.VЯ]j߯ԏyv!ێlN(l1goa&{~ N*]!S32Z a0*cׇU:+lٶuû}`ծkjxdUO)}ӧyzd̉ﲩujMh N|gqa&LCUBN_U_ KtTsKGy&iLXawV!+ ̒jE).I:z[6}>Sхo+Luu6ϟXN˧hU]>> l(]"q#+Go&|=\8A+8πl-l¿j ޠVXɋKgș/EAE7rZIh\ NN1FhR Q:r%llYe#K:U[V>v8p쳸ex}Ɵ{14+ d$!Om48lNt+/a1^ql'ۘ󎇚[\or^h7w}<3WȿDq`9Y~T3+E2t/3sKnȗr@ף(]jB5 w 5 XN{I1Xcrz#_Č4 6I <˕ Mh1@"@S6L;&5p 3Q7k:&`:85}qj2%9X3YRޱ::n@)iUniTlz>=, sۻ޷ Csp`$$G^JVW`Z8m߉P[Toz@*Ssx%@RxTl0Y\%ZLiq`w+"`K !mGs;IZA/[ڰZF[ݴGNM?<{K5ſ'l,>kN7i{ sUux`]+`l /txE&޼zdXO'78>ѵ,~"OzSyIDQ3}C8ܖ޽&v+|VYHGMwv|Rlٖ4 E}_XMR‡|6Zʶdl%?lU?lzp#~_O{ ?OYp_y$ZɅ'E q!;- 3ʜa\I-d(AY HGג^7T>V]@QOyvw|ulp+t =rZ Q>2VB>Vt4~D,1Vy3rI־IUb%.g)n|vRCA7`{|M? N/K:ɷ ͮv/z\|q|YL->Ds <L6CMǂw:4L<CXW%F7^)?wΤ6yµ21pc>1 3b@v̇fM[TԪ#c,4p.`;e!W.}rf5{!bxdUɾ' 'ҭ1])_=I0R#uT8Y}~ǎȻy餕M8NOh_g|xXZSLn>JF]@/ļl$\aK&{y\I &k<#U^ss♃ @I;6  ܠ\9I0i<+`F:mVH$PϽ lxr\l|6T{T6J#,}%G! UjZ %&N359aV)BVyMq38$8 ٌn6b4:c 53V¡JR؅C 7Ū Y;_Vn >˘hz@.3\WcZJCGp8EAKn.eXu9`ʮ<rfc詫Pۻңm55]eEpCΝjS`r*{TĈ8q,~ʏ?'dz%\ a'(pPZ!ÅxuK*( QϳllW*wrv^t:x9U2䙲 Ġs0Z^OoeR97%ЀtA6_k^X[a{r ^seYT~V vaݾn s˲99K4zR| V4>4tv|&\p +*ެFG nuF8luzdo}~DpSzlt{9Xrmz#ѠqxRE$$'(-Yʨ 0 ̳@ o"7m/$ܽӷ"R '-^TY'!ީx\U[4sfn<*JdK.G'f=}zX"|z\3ś[yo.k^[;-< Ve*6^h?M}(EUY?t|nG-!CpX,77䰛>&?bcƈ1~[0ŗ( &[~z5<\>/R In$4=֝y덛AW bkuޣT<7<}ĦWg7@1[] {cJK8bqYqmdVXZGolH8 JDN? ~'H Yz@@IDAT1[pY6U |YuttGj>ayMu8,c_]tЖ?VcXm!mL bFeh nx%ri'?xVc50*oGtA]m6.%P< rk ƇoV[B_*{{v73>2u3x`4'wsT8ŨMxC(tlyH1W.gL)"',tqtXj4K Tn48H5(ωNS=; jot-I˸Z&$@}M2\myStXY}#mJӵǨ$IK $eN6AdavT#k6ՙ{$Z^3p1hwN J#gޙAwG[21έeU ci`Ƞm,~HK{6b4"ST̖[}։;Gc\oh6K;$0},悡C!Qx*` }NfG$)̊iSr,+]j|zK.jsi`/@묏~с{/MaXi QaM] h0^о}_1e[ն·~=8 CYֳ:K[Ɠ%5loVW>̼6;:̀K^`ճѓo/^@QIxG!\Y/.ӻI;v.GwB||~m{gL]y3%#;K_eO }!G|؅䇄ڜg2O,} ȟY7cJmlKhumVKq*dSK(?|aQMp? oK@mKmzϟ>pqXO 0t~CI$Ƽj 7)ɡyĔda9kmD`FROWMNt L?đFTɵ E-.^d]sV&.sHn~9^tpƜk$ 0W}_U;;'$?W2Y{%@%xۿ^-oR7P;<7G@m WAFi :79t+vN]xsx/N_ ñwa=3~Y佉.c?۠?!!*9}ch?\yltm`WG=zA_ë(=ۈl }ӀfY;etIBv+7|ՙ"~}KV".]x\L+V:-B>nx%8bxtDᲃѲ_>/RȶFmDCqr3Q\:c1ЋN|7E{kN/űUL39 oV2>;{!>IP/l;8k No=Aw ぺ' 9֘2s1#0\ѩM{̞&F>losVkRBxw1 @w╲Av 3pYxBaJtGs!4VAYe/%pF_K`!YƮs+@+`]+"mpG{h. Q#3ėDs.@!]iu-FW@Op,7mJsC NJ@F|:wHi0HtTj="J>7&h_l }&*&gysײes{ًthG`shf"4aC"1g{3 3fc.F'3 7Ȝ=M񇎲xbL\:ڵWgI"QE&S&9Ju(|e+'0ЂA23:u~vhq3#O[]#)C^g3f<mR:+AU#`M֪] | GG~0%._ẕNza؂_~Yn3ӝf`{){р}37Zu^ Ÿ;CrX>'//ߒ˒ύ~ѵg}_.~7Cg߭Z79lKT\9/>tFfU?W% b2%ڜ\mVYddNhW|g%[zD{/ItւIo>v&|Ppp~tAKdnE2\GޔևWLY\IT{/(OxIP3=]\H6gc-i [5͘ї8HK˂ zסt8- K& MP[E3w,kO2#YI`$\.o +opB.>Dt|A}Ы %'=徎ﺨ@F_W>얯كGGX26]UD,>] `ȪI b , șeOB3xG >҉Z@} $<?3cpg|SѮuhCP80D1hyĝ*6VP2|~7d^ FUmHY4}iP%xr& =F/b%{#|K+;)GܷM -Z0N(:NNS8~elY G' =C^/­6Mr$Mk&T2_PK0'tLҟ,6[HW=fP}0-MџDS}u LioV٪Xl! Љl'i[bJYUݵ mJK$Ukw/~w@ U/ҟo%Ix^ɑ; u'f6cIw^4s3lq$}h ض~I-F fa=1+hb^|x'D+bcq~Vv["~pŠXqa̕UC8s#=('D75XAJPkb8mep.fL7cmqN2}H{~)P7p%?H U5⌶4'S }d* ںTpJ9 IFf :-o : kQ^ շA{p⠦9 FIB|ֲd0݌cZ$=$jurppQw88×m\F5s"Vuˏ a|?ÔJ7\-F{r:ϋ1WHDžGg :Vy式ā@tledGFњM!qra#HP`0ϥh,Öd%:Ef r#܁avcr^ +80 3 ڣg&ģQ_4~m-qM#"vOeXB9Kp$j/HR=گ[I-Ǟ j5 y)fRx:X5.eሿ | n9,ϠSϿNﷴO|\ Ջ~ﶴ?[2"K8~`zޠOݪ?,&5,&A8ƯT[ j-Iɨ!GJ\m~䥡+Gq.UZk0t3u;׶DV^VBQg:Do`."5B6ZTV£iEHtlPw}6S1e;nJX?M&|E?jY2B fupMԦ1 >7&nckN}> 0ݧ#U+fƭI/w.Bb&ny79QY=0}Hh~St~D`9xOJb]f2Yj3t¸#0#%'|em 7xeA,'`9czMQ=T;@a@Nv!u6t`ga8["ΓVQ "Y$}+8qd)1.~hAo턓}ET[095甑rc6][B<4pw9:)e1SqA9}+(Z$$})Xz\81UtN}5䶮o@tP2Gvi]hvap^noX0ܿ bJóL,y#mKPŃ[Xs{s CT +Zvjv (hXbA'Ǒans 'ɻ-40By] #c8૑+Z0G*|wk 7:ffk;%``y՟t:|W8#㑠ș)}:?RWuHFjf&`G S#PŕmQsn'9u/1 %#IP8Ov7<3#x$408lSE3r_ N6\p}Yrdg=i?zSx9StFe'/ЬN7u[UK}nfAw9>Hּ3Y,쇫; x–?~Q"t6U:Mŷz>Kk\ jv5OSYlgO,sw@uh"C8]ZD!Az_տOW_q/~c'>'U7H؆ߏViHzdqX~a=ʝ7eN}DEg$i=Ӫ}0a{Ip~mu?l[=lAU`E< ǟ eߒAǝdӊ=*A{-"\=voAq-xZXAD !g C0s/_oֿ9빗G[{;ؚJ˶6kTaS!|w[xEO[zӡ+,S_O㑭st^K(g@l$S.OISnZ`{<'aM >Ol2OVy~Exéb@f(I6: >}~-k/XEݥMwp]?~kቯ|p}p_F(1.7̟P]%K>us5`zr~C2:&]v8K;QX)O<ҋVfMTЖ*\z-pt<T{CTP89[3xG!.o,$"=+3Ӎ{6["~V=xɋ8ME 7m%Q+w)Nդ䛏OYձzIq%>1㲖-Nת^})P!gvO̖8p/m|EڋW]#v!nҲA`my x)Sq-d烫W qOy[n ;ۮYmOybLٖX]<{n'&^hFczӯz^)tƥoM7t)qlufS^cOg؟oQ<]U(@p2RE!ddÇHdjo`% ouRKNvtƀn,;8ќC[`kn.ZaPqoyHA<_|2p==aWìN-@Io9p.GOQEouê.УN/g $;JIH 9pIvwUtS'3J0lM4t pfVŠ[N-93y^u2Q5}x%:M}ڲ*_n[G6:Ti I, k"=G `ٟKg"K{D(WгA;l,Gi"Sz $Y\Ed&dzy}Ni-s/MG'Y`Y!jlCt⮡р]{ h7W&wP7ֲx˔= 1C|YEon ug?nKfVD~ݓx[kpBDdf 0?l6bgn}ɉ)'p=}!>ۋt}`6/8_.Fe϶?pR$HɅy,.zw%7 hն$mz'!.ѵDx+\5[1ĆC|?%>&V'|:);>J|OM 9VΜ3,4Y1z׫uب2Cھ/O{{O}F}T hxŎ 7 Jmk`X|3U!^CT>:\ zZ (2$mB2|y`U$XXƀdu D>do`TN;Ս<ħz]F&ਬ>gǟ\xw[k/жՏإ6%Ӈ%!D'C`&xڶMZ<"=}2[+y?|,| R|y<^?%9lDO5x R@ 4Ө?c[E#g^ӕ Û3@$$oOxowXOV֖ӜY,5*q|ugqP4iS#m"WЏ6XA_ DX)Ԗ cv[Jmcd d'//?D',ǩgaNJ$3dIhIg\øNN]å Ҵt9Bzΐq&nɚ)'{~fZhl3}}0|G 8IJa3NI8-1halbz-nxZ b+.#Fb.&f8YjRŕV R#89AfkgK[.3{x!$tWx+68R,i#k/S# ]>O4~QS dгu=1@i--9톕SU:sy /m1>Ŭx}k)-]~;^GCcDo/ ʂ\}AKN _3x"0&`r~ Ai1q7obG ZswikEGnW=,%> c0:4N~hХFgCo9"LJDC/N F۪ Ll@Aw4Ȩ- 2tmDh!;I[ԙnu waE]R: u,OD? 74a!rAl@7UyeնKtȬ`Krm/TpSlU{_L%׭ 0@\;;lj)n %h$~u_5е,-ܒT[goZt^/׫7qf3h~GuoAf'_z~zyQXs7nVA/wW?wORuБݖ[3J09k fcMIoq^ItyElw)AV:{`S =Id;_~ݠ!n~>N b8چDg93X[*SmFɽPso톛b2 `88ک-M B]Po"?e> Ҁj[ v^TC8܂qex8{ˇ*^Z(yV^4iF "'/El|ѫ^> 6Ӆ~?G}G_3uΣWت]qTnH6'9>yV2tUC폞M]'!ʞ<=Rv&Crh=uB0E l} nKEh9+Vӛ%oꢏ2fGLb7dAx|+>w]DW%8}evظm?_U&Sxw N!рᇟY}= >3 #iOR_9P|21Cl#3' ,k`8LA3٪A&e: Qiu/pO92)lה0nkjQ(v~cfaecI:#it Q]Ta=z-XZwdul;7' #=&3p _mp$sJ!p9N 2޽6O3>` ~?{6_r,:YO?72__iP)1ȬVh v$ܯ}.(}eZGǹxAzf#7tI(SR~j7c+$ o-Z=Q[//YP3ksʘ;Fْe-xK_J$0(2S^<-fxޚI~l#0~9 /O3Ds07MX];pe:i[ϖǘG|k]Li+|'~͒&y N?[|aKt SIxR#ݎ>a$Sz_fR$n~3{p'pM*nwxΧs57튄ت՗냻?upTKI[`Hny׏ϫh%jV}F%?Ak?FZt@`E_݊acnaAJV]p -?&}zBL_VP?݄y?C[8*Ye%Gvl$OD.QXUWZx>.[jU2pA Ħh61R^y'{tpԠ ?{]c&8i[تg!ulxCe>pO}:C5q]͗u< ×Vtxza?ܺğw>?Yd3*ٽQT&ylDAqꬡg?!auJ>9D`mu=}3:16qS6)Xw&OV_Jf|s!s$rd{68 q'@LT]hh:I .Ө s2fQGi{yt:t̑эOU`8&<(V>?Q˺RX Z8c4` dLT}]p<-ǫ3ed!,It vyȀՠ - X .gDTK;x[)>9uz0Ѓ< NjP7")Y֟t7\8~A \9gXoM|<%as9S@+ʲM2y\jϽ8B׺ I>f4Ro|qpfG,k ǂosҴ$2 VZ[Ǥ2x&#͟Nݖ43Hdu5Le;)/m&%fta+'(1]'$N> }zl%^+|lyt 3+ѿx3@8ޛwfȵx!iSNjo:VUғ~Lɒ/o mzˇK/di_#qQ5K2$k1$bMxX03,e ܷdS ~$~)9x'6V|jRqEMNՇbkʭ.e@so~/ONz!G@>78~mT涟Lp+&b/ n ^q)v>! :LK%w2 [t`@jê a-^/ 2Dz.8}mGov,ݼTЮē- o]K?rb78<(c7  [ [puL9V%M4Cjd:oO$ Ł&189]a2ܱU, T&q:8JNBkLڷ+'sdű_l?:VpIM dW3ΑXI;K~ru\Kt6J WMvc-GP5Mds')v xLH<'O%cڗdx|CCȌ%L}?L@$83$beF s>}=dUOo!0TޓuSq)茊&&j& iP} R6)X1 }Spl4sdO a1="MfΉ)i ‘3a(Z]9Ɖilt] Fпj2^ >눇']7PWi2_Y1CaH𐉯fXx^QB)hq)˧ 3b+)#_W3o8n\k[;yG\`-%i #ǣ~rddA9!/NH29W'tbey ~Gz0}2'ļ9G]/ޠr @&JóـK\{:nQ#dc3<**P!KbT fLnCqѨ| #G:ֵ,M=,z;6xI@U[W#' <2>Ab-d/uV>^BAz9ފ_[_@Vtd8G) 4~h˸@)9oeB ^h8`ba;%$YwnoBA6:R`«  <,ի'޶/,K\ foJYI"L7R/:)G4}rDmA(֌_?Y|q&:O%T/!]:},pxҊwow' ?orU?У{'BVZQ;}d@ǓGt:@IDATϓ#Q'{{|V^|{}4c:uI^="iw:o>Y@t8`2#9 #ƨ=%{߽\bʋ䵧y ,Qxۺ9y s*3gC˩d# xg<1wK *in& ʰ-dZE'~=Nq3XIs.}[=ˀC[/^%1+zxu|ODޖηPo@B$܇CB 8bx݂~D;8`!hQ7^S;M}+>(h\6'v xvr]_ u29E|jd?Kbh}_q]L=߮Nl `_0ƚxd9%SE<1j|!:\;.v*Z^_ X=bѹ*~ X^OeMēB0Fl!YߞߣAuqM8eLsu GxDtw̝v>1-默&ߢ&83ڽv|e_җbCdN| A\lM #nth:o?v~r$8n%k_•;w4%79ȌBՓtk~g|;]>_\=3>@@ZofYxf $imOD(Y޾Gi 1xU_Gߙ0/X%OF*o2%w&PGk_Mڎm{&x_ъ~5J*F7|A[߃Β&I{GJA ѐ׽[VfA}'?uiU7 + (,;R[f)^u6`@k)o&Ҽ8t`_R\e1LTCJOSYob) X~J8V E3Z8B džR>P,cVB86sn gށ6 .#Y )PNkl@ SʇViԀ ΠaLrO^H (? 8g$(,e1&|ͬo8W_):z({7h+4sA~JyV||pz5sD[BUEڗ Q "81g>}=p^hʓ[brp}- @N!,EVW:AWƓ.g^+[Ͼ["F26 p'''&5O`j`wts8ſ`: |s3 ڮ-r_ G(c?YxMBp$t;CɌ ۳n@_@.et%hM^[8 vCѤ(ڽ`~BiCaVD2f z?ؠ/./_xNfи**A98p'YMFP|œ:^3" w}y t>:Elƛrlyy[U{+4:=_Jܘ4H'_wQ27;6ЭMeGW/K#aMO6܆ې{qާaH8x. w~b9&8C@LJ{nL 0]Mb+O):Oo>|U`PƑ\{mi=]rGN轶?`GF@B|*yX]zz[Hz͗v#׽xot ~s/%4cWuPm7ķ/_־|7%¦KhH "K ޙ*5>[~L!lc~c8'J.D?JA;:Yb2}xKoזͮT5?kK̢ɓ,N͎E 7Qa01o_Sw8I?NL rdcvu6(񀌶~+3WL2#x7V!?Hgxk7?<_ɏXDhN?Q$gV*}V9S|cm㦣5YLv Ml@Zt׺>ߖ w94v G?A&|2 Ner W wϳ#TjS.j{ +XxR-ڗ<+vtt]b\߳ui 1T ]ÿt+Ke ,wՔٟzK_}Q)@l'd(㮁Z rInj?AǢЮ[U~ E鬎cRbFwNOA⛖"Z+c|"XZŰ6j}HIggIXr )s?}lY'O- 5@4s\ W^B>Ղ\tPKlo6%|-|,C_ڡh;~cP ?4ozsh3n^ N :C4vt_nA] VN"go`c{?6k+"2vz߫t߻ߑtQߗ[U)e'w>ه{<0s7w>f ̆[ qdn;UfB+}s&eGlmm+OͲs0*ʟx 8UN/e;$^WcvnqA^55$euܠ_fKᵗ &ۼVսy 2?)wA4M8o +T]IMt* [f;\䜴Su5$^+6){_%dyYZ0>t擗-\ )Zb_:@tJg >4z+>w}}^fQؾ^SİkN(?/ ЕA2xT*H2Į*Wu g|϶-)ZTX{pƺ|ߝW{o -Or_U+W 8}{k;{^~̢99V3(@}Fvx;7Ā6ki4~Vv0Z :ŀ_ʪ*yu$WgrCc\+ʪ !?:G`]Eϫ̖>b)<)>ٜdkV(@.KZE0=V5x-Xt7a<w30% %4AV|jSh=Dj@W6b) otR4c$@f8;}ZXUlmWqB'*|uA3,~m{fl3K\C٥gGnL`|al ,Ό?]sNst:owom«Hҵy`̇VuY[N>.V;7{U> 2>6 o}C>hL#H77 B['PK~>ylmoOƖ'>._VI9a'Vg׫?/YC .BNOO`92;mxa>?TOoā1 yC+yڣžC.Z4tKlW {1`_x}x5[H[~`S^t`f|4tv݂3hIf6EC(gXS]:.ZDT~eIp3XڐC 6(m"u~ʆJKպߕgWG]ysP<(f ҁb:'8Y4MlQo6U,!)EH %\r0\my]Gy5#CR$\՜[H2|Ѩ#%3@"<K8KΐcPE:A:.VJnlEXӳF9]mH(鵽A8x [#dpt-.vKtfކ u]+6\}6HjA g Nb&>Fx~*CxO:gͶTN]< FQbPȦ-ѵ><߁Mp׾q)?{Gey;`~ ӗx=~ǡQ~!3f w=DfjDgjx都?lM:D=rIRdb3s/-yAdP3<ͦI=Rl'?ހ]2ȗ+oԕL!}?`Évw|l!Vߐ~Ob9(a! xx.On:| a/0H9z>śj|OJxE^>GiLlnT;Ef _ѿqu3Kzs-Q|OD@l/-,F9gg+>BaYNU}]MČJ,%f:Dyɟ-Y\pv^@fWj06^+\uŚI1VFrcg1^4e?g2 "G/nr|'◭ ~c,qy"٤fu*19`~9env{9RQo>.ҳF"!u`} ʆDܭyJ4e,'3.8"v-{iC.`8߽-bյjף_ ( & *a9YܞKV_#V,2×cDL@p"@&+@@<6A:0?YNLB'@.ʠZ5 <2Cϩ6w?T 2=3i<՜5.~˙Vema)Y!<. Pr Pw Gm ^#ƽ-d 8 koN:X,l80pd7S'|B uï̅e9x)Ia;DrC^h |>#dI j,3[ Ӓ]8hwBԀܧ;pǃD3*ѕɸ$8Wl24OؿJ%8꘶4Q/GiA: N~ '>Lp #sThm[nu7ngӝ)l5!>/3ͬ7$h#%kA ( {+o߂~(h0v^/ Y_?/мǿ|{kyfM.E- .߼~wߥ_,>&^9ݓ=n#px`r!zOȣ`L9A0?[C--ɛ_ڷ 5Uxƀ-Yb4se /t/}8CFWAU>" H>h!g~?mS&`0(x- Xv' q}L >wj(ֽb]9QA/n&BGgke8E_LIBڮ60Ί 7cx+ 0EKmsVm%d&]!w1]LdTN||T#¯Z}ŗ҉9Ik>XÇ%ԝUwc fEkEǠ%zGlѧXŞq=% ".t}faTkto[%Ivb7*މ^F&ݫ'Iw|t>(ۣ$f͙'es`dDɘ)nKoO{ŬpKh^#y= B$ߞ:}O p}TmWX#T&ËhLUu*nd<~2dX~Oo(B 8xOϣ7cqIL4F8dgsPC8:<*ݹ(bٌ)]wk0al`Sӄ$b3mL)p$lx'ea :ȗS9EdfrA+K8.v3gQ cZ:uHTs&h,uL2G!w1 J&`9[\}΄嘴1(.!-Q? }̞Q&չh,_S> h}'_2?&AXpA2tI zCg @['$J*@ z_]ot;/Bt&Vӕ4 HҧmSUH:D%#Z_~o' 8] Ctkנ __JЙˣE3=" &סO.V6I[tc#z)Y >2EMd'{'{|c}]Yl1{:|ң7%[QE>qO}Y͵e ]3_ǟrhٔ!ЋoVu9t@vt~ nVЈv}%) ?]oAX8#nG؋kUEwH \pmmoF`=VDᾄ& _҂r[`9G%x(NeB7sΐA|T5K[}}rz9Y=%^{iwe% $¢Ā~dPk yx^jQ e`8*pPK;9$?:()0ߕ?[*uHeMm}Jp[`j CLOgۅ3G&v+{BGȉsb❭A4uRq{?z_aݶlNwO+VAU0ˊ8~у +nܜ]74l ](ـXAA}%;㯆(0G8ur14A@e}:/skP3 ŕ޵+$-2И؊L1*vƜq - VݪU7 As&fҬp D]2S @lY Ng^IGC18(&sGG}? 鍣P&8F7X idtAHuX=Ǥg FYJS6vyt%gL$iI`QY 0'IWn:A=I|{O"/ Y ets6`{v/}qzyl|!d,&?Cdj^/A@xٟ)YxeUys!nm#*p:Gs:ؾB^uR:!-CL u,y0W+ 8w`'!Rv,3;|j-.PuZg1Lߑ{Yj+ Y#G|rй󃟠N쑝z ^ΆQ8,ͽӋt(\ڼ纤IbT+8Z֏?bh>2v9ퟚ%حL0<.g0[4 ӷA/}u2Sh(gc_^KK;m?0K*b`- M\>lp HzA| _FTmzO?.ʹ:0sA란NLDݭ}ZLeM?5@rK<ԷOK.T_Ƶ}9];w|7>]Pv{YW.Oz@ l[G.rxt ы?2d zJE|/ˎ@{2560q'FRw#F'lPrh Uٲuxtg fG”pm7x&oKPڞgFζ*/].v+&*>/[aO daVżUN |d[{MV!V >D?Cvp8*UᫌNO)3d a.`R'Ww1ʓe8;az>CBpp® VDPeH(NȞ {W7_1dT@q¬-Jp}DV>a˨,k3u8&ou3B7RoIbٱ "@8MYlv(-p[wiˠ~V_MVʆ 8jstreL, G8\iwUk_ԏ7ȐfQ3B/ bPQ}{?>-L-;ě#'kMh}t(? 1ynO9aP rڿ`w l١<5sPvJ E'iYZZrNvWo¯q ~7?^&mEkIiOzT\v>{6>0fGϓ+8?%(#ZޒC $]9!N(ydm\զ>W{:[$EtS(vwVt#H 1VI[C{{g {ws|-/m)=OEAdTzeܝ=zal8߲%;c~iйYha9dIɆ;TAi ;0Z@j7J zAA0E\ǹ3 HobA<!p;H2'uoΠ#u&D /$G'OvBWC_ #,#Ζ{m xY$[}|W/[ ~?7w?| Ͷ[j+Ko߿%F7u`t7FǏ'mwJ(Ӷ)DxHvI8oϢϩBຳVZugo%W#v.7nC-~L3<#heN]rUZN#qomvP>]mwr\#v[2"!s8+ ݜo:=/ŋo`TҨIХCn9X1G c N>2vΦriq6-^i}7ls [qM+GMze!H>dq032/ֻ}p(ifnf>6C2M6VrfJ|\x.Fy%BqWAGg8/ F֏̕?]OH&(V/e+ʎu~6dZů^w!QTL ?%iG!,:^n`f}e7|G[/|&9Oa Vj}C=$̔]|O  O L+ھDd0c5o}c7 .tcX&1ֹ.BӀr@wMCtʒ02 R&mLʻNboW9^I5h)Q@Ns 8F^b-\`pZ`\ P\zlYw°q *Xm/\-_ lZ[ 8|zZ5I|VD@}wfޝ;@QYA Puzԑ_6=ΝmJЎ BHu-[\b.G[]1cQe|XbL3aҡJZ tL>b3S|im;Nڷ<A .IEm%\6˙Y>v,u[qzaik2e,lÌrSTNwok K49ڵ|O^7cOB_^?tNt +d-!yixEC˒|\8t:{3F tnvhևp*e[./ |Kǖӑa7W+9okWL:@k%Ǘ_^|hD3FWw>%ZoZYA4,h}oZy-?&g%V-q#r4П-c2鳕X~R=~":๓S鶁s qe\n<.^ЯU:Bw>8XQ>wPcP %R}~ 7lCV( ]&s?fn~lB~.Jd$16w^p$OfpmKJ Є!=$+>7N1]oF UT;Ou雴Ͷ?DxFV XJx' 2JZ:e3|?hI}*wU 8jd]skg,kw/:\@b~"}E:ADٕ>㎤LXxz 1VR8_E۝g1ӷ'6&qdV@Sc&,N*WQ.>ベÛËҗ,N2WKdU} KRmpEY[=N+ ߹ofRdHw6FW3b4~k $6ଟ_(g2=*')wwU`e liX#{\?@>xdrNy>;S1VƒDS7<Q" [=㿶ZsP}2 ν;|r4Om`V / }{+ߥ/u-ꃰ€b/ɯ~窃iʺ?7OP\lguZZE7I3I8bd-D+ws]?I#XyI /C9_@İ~:K ãg ئ+mu~sCjڵ8{ Uw^ @RIH8GX!k83p!AMa v nwCp먃͑`͌jSFזT!2&,q`kaLZB_dbG͆FQ}0'u ܪ'?[ x8>1$,+5(\w3SFOA8!F!=t3'y'ޡ}S4{/c_WZ0 E[OhÓsbq*o$wjhA`Q}j7.+W/|MM;x^PQ:xhjYe>78m!$p( .(q[\0aK-%p>ώ~'<%NN/'7t9|[v4$޴Ԭw z'>.d'I3W%`~?#l~hPK+#k=t߿%6Z`- `;&i~P[.!-lնW/ߖ7k3\[ uϯ_~ig@ i^FKw~ @ά% $S>[umY+>+ n\[rqovz`n^Sꦬ: oq˽OM˰'> Ow}廼l@́ڏpc|K2Q 5Q~O~-+/k2,*Ȟa[‚-~ &ѳ>>ao9صM.2/"[eS'w;8lCߍP9=q> n؅ŒH~K$j~ LBIWߋȭL HaUNUvOS^HHceٰ8vqPkpf_zn;f k%<|;W Ja- *Vxs`ѷjr>O*s~oaVuեO-[1 ZJOdU>Nww6?XBI>4 Aor"dya[a.ikk^bԱZܶ ݛދhb<WTh,V<9?u?{tU:{9ϾXmU)7~}vj~mK%W#g۽Q}u[b{=cB޴I%q･6VY\U2+dɈMN.̍n#Gl2 k{IoOG@}DY#9s8:M0(M|){ +F7S f,>;%|ɡpA |Ƀ+LV5]D`z Q~:?Uɑ[xL#|>KU~*&D[3oF&]0,u 9ANw d*Vh\=K&% [y\(zyߟZҭԫ +{* b{/]->7z7;H*KY2%_ݶDpHcI 7la-2QA2uթ %2eK<ҕR ZW2'v2*=o`:cFekL'5FLQ+oȄ7D`s3} lkeHpνWr&+A+HGīT cݞw2/G]cɆl3ɦgr9SDP%*=8&ps2j("J$%:#kzxé̏&DџiSd'@U`h9Ǒ&O0D1{"F(0W2Sˠ$ڽXЫ9}]xЎa=h6VdA:A!wG E8wzew8|Fe5 ]Ў/2UHuO' _ū+#) C|7g3X_my ҆7̠V#Tk40IČ{K^JVJÛ6~Xe,~u0*/vbYs5v:~*5Yz􆞄xF H$Ku[纃YƜNLRu6HVf_F#F];pm.DlYS|-NO`{R"sAoLoC0g$yڌ?[)},;;N̒a3mKF|zEfǞn?XNZƶW\lypx?^ⷖomo6sPko:Ȱv1~7tyjzgV!Hܴ6lF0q&k%<+ '%?Gd7&Ӷo/1*,&Y=\/>'%VdÛm5p Ͻ"%Va%3yL73@-ěz_Qߕ8G KL mSN6+<Ձ jɣOcE|6WU<:QPn{gHѯPg,Y/|4Uݫ}e?Y-ipO/Q+wqDk70tG#k]A^>LJ*?`&\M@l5ߵ "e {(>/ s;>Ft+an=ΧOחs =N~><ш6I]q>acdS@9(ބV/k*=FIʟLY~k7FA9r[7/ 2[_ tѿ/&L&ptDw=wV ̽^M`b ;cb0 &h 7yb2>=e$vu ʰح*0nٛ 'l@fLvU 'tn|+bv֔g0<:/ٜ1l)v21Æo ^UGurfA6p>ewWm=v4y`o?2^٘Ep7^UV8oIr p/89)`R ,b0[R>gR%$)ǐ+E!{0AFK1M&zPY8Ε'0s^1xe(j af@ޠZRY4)n1W,/FPe<&CF3왧b)b1BK~&k +ǵqgAq%ʠN.:|,ϒ2^#$@< T`YDv[֟0Vulӯ/-J[5Cx:v{Ψ4.#3 e~X=#W3ŻCԓlU% 86gҫz7=^f0A քXQ;k1}HǙpH<#YHeoafm dlEmPƣѩ<|"^<>6;4F}ғɸg`IO_%7lkW[e]䂪W/y: i.ys]s]ѩ7, |uݓ dK"?c|+6ؓie1۬- Xe@%N7TR|6:Uʽnfߵr{H&ދ>c! 6A[FLZ~ Gv0yźpIwsޟLo~*ήya}J`vLEvuN i+Oѯo1Y4Mz{Qn`_Po%\j1X.씽H(BF:PA>d*;'(}0BK+8)vKTϪpz-\,%ZN7aI_uYɆ>tnxsqL*6uKլd9pW*$N`ɘG% 1 Zf0Nm\%:|\lH{1lrb3_v|pP]ҬMo m#}|p^]mix)f a%tz{I`W6x9OM: 8hoC_Z_ڒI~a)'6Gbw~W2~k4G_C;^u¯[/ 6ʓ2h>UvV=3pźBx"/؋1ǰ9=V+>C>3W3ި"WO7}k%U1-L-3Npj.I4X##X&|Xq@4>b-쬢~q!Z؎(ϖD48$<Kg rZѾLUM%`S` kDAFΩ\= j&JN@#Po iyN <> Nߟ\0 b@KJ}SwiAW ×9ʔ*ȁ 6S4>TS0g <0{"g7sޜx56֦Yx ?)ݔibGCASmGxMYx2qNh2 ٳV Y>{jP]_õ?2_p 1{.RsF8ŷsAgX9 I/LVO'P#wovMxfNӱ[mewHx;HqK_[]" 1\QeOpșAjqO #;tpTGʹg~xJg>A$qh uKqrx@gle C 1=I.0#z ,0\9y?gq}W4g.4ǴphmUY>N{+8AR뎯!1NāVY(P#Ja~mA Ҝzr2 =qe}~ܬxEǒu'50C^-7uճsGAl n|=08/P īe> GxMVlw-|L~C* >S 3|J|V4}g35;;y{_.Л )[sua9[[%Y􌽴>. ~y/Zw|nڬhk~6~_8?{tCfx̮nweoL߶Z C˟7džDF;_4]do ZUb):?vB+ =qND%|rfH>f2lm?حdXK*@v !C4 1O=I`7fP[ypPhyDlӠzw@r2]o*xmeVG+kó~迃C*g7.9ƈV¹S8k Pڿ?rٵJB;(mIb@ 1}nUWg`bm$Ł-O&GԡV"b`v0Mn' _ d0w±Րkp}fGe)R7Yԟ~ NUUxzxMOd7Z5.ghc'to+"e>9s49UǏ6sԟYqQlܖIHί۹)5Aݱn׮Ģd7c?|* jI/;C$ɀoۊhY AT(,0?n}^ }pط"exm>*j.q,%=~qʒ3=X~f*B! Nا"8 oqgb98Fŗ>̤+_]T%:?;'=wR+k g؆8 힘oc^:" zY1.^b!Ԉ~m ^Ime,n;U8NB =֯ÓlŒwB_2Z}KdwOxO!_[.`c_ӯʬ*D LX r9BfBHT@,{zC('Q=\[PsP!vE꓆ )k@!>szgܲe[$Q|e9SjCqm*R1!\P\]<: ճ9h}O}Н'^A _ ze9j`V&#hNf9%a:I#Xn٢r`+|g*:W|H,,AYʮ Ȟ,#> AG#KT S<wem51з`Caޣ's&@^ Dw:N *;^ *$ d݉Gª )w΃NEK0 0u|Ӟ'^ⱙSq(}W'˂t\h2_D^~(@cgK)3w2}یGlCzW_93cl %MD>g{ҩ.:P@Sm?ֶsޗ׽罽pO$ۛsK ֬,0}EJAiJ44_ӎ&>IOSex>[A8.}[ok. .{lwM/>V)/(z\fB^ͮ &/C{o)xu~O>&hn[etēhө[%;8)j~(Θ܀2A- k &rO:#!e.aXD芙at`b'ݤfl;&?Y1G+Hp>e+*62ofrO#5uL4xCJVegps1`zE2.w9rE}4W2},.m1pH泱7{i2KSXKwk1W?{_U|⳶j ~wE+?mlkDoʦ;bxܿrqbjwfp'~J>[0OsTyV>iou,O [3#GȃU׵[ ɇ @T[1T$7֔Qw>T\W>s^Aiq:%}?ɲ7|./rrzJRNoJxmeC>l}I ]51m<=<<8Qħ% 9]S*y-5M{][:Ɵ$kgSt5s緈.b|h!80WDk%ԍ#A>^V) L}?<9d$NJ;9VN}~ 2.4 ^ЂAqEY`D:;oЙ~<_Y;9j+]mdrhj zui`Ҙ]% @]&co8+Xk/  ~@-DNeZH$JQ>Cي#jlIxwyV?"ż}ӻ9߰p{{Vޜ oۇM..w%#mcg6;~88vi} -kgբ+9=mGCNt$_G {.~>%wŏ{>'7/&6c!엖TRGtq&L"fAp{x<&\qr()BQ}h[3X£5A'Q>(r;4Vf/ܻ/ TSG fu*~o*m '@ll8pTh9w),*GœhY:ȣ8Eկw4e#@X}c۲NQt  8wPX}gx29e>P7#ӸQLruLIY\!+ sr8C8ZKXQ7έmԪE^o3o@Sy\zqw̭gh 8¹K_\m?ސՋs_YL|>r4he(%F{,9N&tGAzc!;-$ yغ6#l@LH|KÓaK8Cp-96aj5TXx\`|_}v3Ǚ'C @(힄U Y`%<1 {]O~f*z#T+| k-_ &4+hp=窥7?+;rϚPpj64;3Wy; j ےNUw>+휄*N}Kh#>H[l$J|xU蓪6e jgK9k[~n{Z|h-y$]}iIq:Џ᭭ OWF{}ԻoM :؎RnO7lKH@>L~&__~l:fΎ(x)]9{qzoJa`{4bw5Lw\t[KxʧeKp6tzg7t<ؒ Cv63pÇ%C੾Z?3S=:I u'f;gC!K.nІO_jjc}0 B/5Ot󘺄~E8O%6{x==v@1|0^޵Gȁgp4/UFB~b_0? N*}jzb;bq{ta|  ˮa5N ny'[]gr2, %`{x:枝=@ t\L9THƌ% 9= i/%h\v rl >l n2*ٱ_3ؑPe&oz2p8:;&rڵej12'J>/J|URgղq1לK?JlEC[ddX(Y|=WN|mp\4w @Bt@#;ѽ+=y.lxmw< +14Xbr>Ų߲s\yg;X2[7lz׏\>}886zFvcqLr@qe{XAGϛkSrce[Q&7H71ەӄވeKI k8v-w}Ucx?~$L]ӛn|$G=m'5<!w87sZɾc+rѓѦH"J 䲗J|gq 0CY֏e,pi7AnW;-M:@8xgp-tf]kLN= 2dDDgossූ>fp ;_? -y!Bd7Uo՝<6+^KA%?\=dr+6.4#d;g\9`R>UPrxǥG.xun ;n67L]~z?>U8^HyJMO)1(]Fȑa^!h>Pn h3n7U 4TË,:%\5<['b')6Ѷn M8=:1.4t@} 38óe̗.:7[,3ԎdDrM. o[@UB=ymO%GO%'/>~ɡn.םo5To˓1rxZNyр:Toõ^' ^wOlI>yj3vt'Љ*hw/9`n5PoKfdzFVh?5 +9T|4k$HW[m߽j>>|ٟ/~hkgARle<ھV ItWoy ^{֊8z܌}[}KϟA)h4x3N;w N %Y護(}8YQׇ6ئVPu>*so1@ӂ"GMg?-t (~jqهlY&=MٱO)\tk>wG>N>:;a-uq$'MKJʧ9u5* <\2uɸa`JZ֜8{ZJl6o o{:0';V7zt1 cO-~D9WA~b.-ǯOS[|uaW"7>Aip7)diLz%H=IZZg|.0ZA/`;=ţOÆI$wx3B1.S%cšͯF}7hoƗo79 _l]~գɃ ŋo%a.6ndcV5q@IDATTL ^6@jXtЮD2$zPp9>'?GYM~'$Vt:*fzRk+k/#NN.r,_hQwķNF'X!2G5ts nkتw“ݍG&L,pmuw2͠|Zp e+lW2j>LGpMjS9(Mf_tnW >Hzo4^i,C2z)haɏ᜴ 2X>27*\Y>~nuO4;r$'S2Hlf;Cp݊Ge$+U=1-+X=ɵz펞o64mo}tpI0CYY3u[5GD>Ĺp;rd\r;8rc,}f>}GǛ߱*uhxYN<ֆ:-9=х`o-F~0"f~\edY0Y- 9vAd k|pY'eӛqGOFFMÍë@Y1F5Q[QпuZ|ȉxSnC+>j'fC̪P&KhH (E+F, ޙ9J̱jUdG#9eXCQ:ûFᇗK j`%|O&5rلA`: Dё[fn.'vҎnFL SIp"kFܻd2}/a<تaMt 80'˫➮Cٿb~JˆܬzKmSH+[7o y;_͞vI$6"~t^IJp!k?5Of=J^\AYG Xi0ެ86^]oxq^xxSңArf8+aަ(v1yF{^HFDq&dr}CI}`SgI,) ]' zELòGg$q;,i^W2f zBBC*sI';TC\jh 4VUޛ@ˆˇGNVGtN e@?u[H}&ۃ^JpyeU)u=l+dxU!=4(_K2~p3G*7E3 ^-W^Pdãs {_=Av~&/٫NQtua{ս9x^Ɓ[mxs[x/vªGo Ot]2Ndmƃd.]k/oื*|FD Ά}V~}Qe=tL3t GO?JZD^76;z=p= vUak$[M}V$;­@7NzK.!ާDl:KJ1}LpJrQZ7yԇ(}r֝]?>4}1$tog~)/|{Xkpy`W%:::A•[C&$0nT~ϭ6h%X<w`QЄB+xs=dD;8#Y+s$/˄~ǔߒ0ihSxGk$Eko@R`"c\l!$g+{r`WK}i)x @C@k,bp| npo{uݳ`V|xxNM>deyH"CeaTYOr8f0wW38pFb$ژ%s{aI5~g,ŷM|tXI#?ɓ8hLʓQ y䍰xi@n<>6 |G\sYnӦmU1{I횊El Xl4-a`1 |X:fvz6t8S#ýx"?7(p&Wj;i"X-${|#]^uz:"Mf{Hgp커@tN{/_ntl p5pц:xOt{]]>~ZPbݻ:pC%[d/;'؛e?f fKw=Tmށ+Q§lK_f-9\|N돚inl f]  ؁ʖo׋i3tI"Ds\Y~ހ?f+n \z?f͒Zf mi:E9 }ۊ_޸돿]wSI\7X~޼,V=HPX=f޾!c; ^$%$We( ]55ٖU}yYtwYloLCxՠCw}{w6nbfb3w_ x_K^?FeMrT8􉿘u;aMiBeF| T<]`N#Y!6h8|~?]ξV?k_ds[)1ʽf#3p1oy6-UUa]tu>>+v{pq Yff@)xAYp$w~?S 0ɨ53w=חg1;W&ѥ\ݺ õ}_y>[A)ԇ+]})i@+]>͞N?< s - m}7bm Bp{6ΞG\Ia*Cz2d[X۟فGn/>ZT_ wQ-eEqPIх$;T|~JIf!x]w9whZb4_K+.)z${[ء xm*"\~>f8:S&w /՛'y46'_M67m$?>f*|.cg0X; ;g7[I=KexX|Q^gKtx AP'RmJ! ~-<V OJ]1x(`t>-Pfmj?TMdٳ+m=u8&Y_"[ߧ8hW@?W2}O}>aXã, -RW_3yp…os5>l+ |P&76?>qR RrŖ*\򙔂0At2(c!1)4Tw(${ƀk N{{be:E>R f ӞgCвkF$ni0~$Ơ G.'!27zPKr몜0e!ݽmUErz X{?Kñ,]0x}E~/I,ؽ ~bZjn%Sk.">IH:I@ly aW*w` 3f@Ɨag;Tm+F<d񷿣>'4h[J Fg=e^2.B0:Yvxgxh`+:Oz9tB2x6K̗l{<lߴǶ,nWHbG_ j8,.Or& %785A+Om?}@'1 ѫb^{w^z%Sm"j_.nFmDޣ>(q~9SUeX GKO VYv:PxhMx;&n۾vTaZ*[ij؊ 1hǑ }Oos@ЬLw}^Nl^6,6]^;><5go};X52<hG|5=8bwF]ۏkoG$߳{M^D֮Xn.sBvTsGhg.ftV≤,~U>4fGo\|Buq^p肘.z7+> /@bږ|L"9*Ħ~NR.`56}ݕ*؊ @`0g(&D vZgHp |Kk\=+vcBYplt>~ 8W'XIw)yWuF9x1iSqiLxJ(c޲1x[pl}`t8%C?]۴y%ͫ$3u!7fd;/1j-3v Lh aJN`/1qN/^rd^xW zN+Q[ _4a=4t%bB.礃MS P$GA~ &o۾I9Z94VKwt ?ԡ-2f ,&S y,։sv lĩcOGo64ݡW$ʧT)NGﰺc|$`h@Tn_ۋ]GY 0?^أGu.!`U^o'Z3^![Ջv_urup~x`IҦiꖧ;P*/a{r4If7~}f? vHUO}'އ+>+X"45>0َ|V4½RE"[EosRdi.Os͇TI+#nfz f:╒Ozퟁ'3&.y#}|]*$kIt8&2fbj$ŽsH}M: ƶIޝ f[=|nq¦% |]҇0V6~?K5AxM}4Z=΄zU?g,I&oxOv \3׭>~nxԮo &ك!7v#~U qC.~OXlb4lR C D.,O3$~ ^ @[W mpYO 3rMxW>F[ѰDHŒ8Ѽ6 _ -q&U@fnI[Wk{y] kkg$.ص Lu0+8ckzT4}hO }*8Mtވ2_m-,X-=)t /e@33`/"1$| nO\߈hDbhvW 7?pqE룢|ѠɞT{(}l*-IK$\jpj[LvRq6g\Ow>-7V4$[&Ӽhkz|g"=.:,4ssm_Af5W)>VKlL'dOd1F %֞Y_Sz2kbW}(#2L^cJ\}k$FTw[}$dW5rt)}L;ڡOz<Յ67{7EѪcEa_i^J6ob; P5rT9=@dx5yr?_*ȄԠUQ*ŒaqpJYu } 쁜cA Js0 % j_'AANZ aU?6KS g&8~m9&$}O+SgyGksۻHf;lϘf-dGyCYj$8ɽ̕kΕ+K;vkҚc|uY6 @}н*y+#tmL' `rhbpM(,`sdKUy.E`SV֍ù8&/#DkD&R<8ᬭ:Tv\toAS*2r1vjKx4q59n`_a y2F*Уm#~Q$}~Rq~u%jw?m@0Ta#qϪ'50|sxkUc^/｢荆O=Ý/efjѸ=)RY9:)vn`ݛ@l Eϝ/vgo/y?ţGvDތ<!d#Gd {oՋ~|lv_ N]b{7% %A[N2r<- ^=CW/1܉_a 䩎?￯\?o&6r[?`noW0%>-h_Ҁ2l ky>I? :ho~i!&Ԁ^r}S v'[G $>|  oQ?jŧtc{$i&xQbY`;{uUي1RIIV*W϶7f UR=xagaAax ҹP9C5/H lDql\Ƿ)7PNw?nea}v't/TzJh V>A6٧;RL!):g&T[Ν_}0<ٖzhPOG.dV%*|WM}s4 ĮQ u1 :OxX?>|ĺx9y NpE dVů1\v-7ѡ~f':EIʂqCwA0HDw'iB 3t\ -bF<|ܬ6w~dX" L= `C!_'yX-I^%ӷ vn`5'8HcS.}PGnAY?W2oc~h4`}y y4EYvZtvo-=nEk G4)-yO~qZgC#;+o]}NW٣(bmI0`kw 9>/FEUfۮG :,ٟ,}bIJ0b$;UvߠR^dP\6*pB&⫘F='Cltoꦏ]WULnϏvm{?\a-cL68#\~.f 2Mp1ydd/2VIt CGEپ$IH;/vtL` =AlmٌrVV/ hKO9=}=¢ I-@Ё(' dC!3T=i9e_!N[ w:w6#H,[yjǬG2]; ,s"),>V+<WKkxκR(2̵8c b%U">iUG3dIA:fLyAkRFL&j:~/7! ux>=+A_ґf?_RڵV T&Ns8KuSۦ,ntSgnqd*_2 Q]҉S8 Qu8cAS:f|HFш[.2#E{,3h\I$9nĊDУ颶(rS)H&qv:B0۽bM-c&P L$x~w{t'zB՞0Fo9Nx[&߾{Ov ~gCz5Jdv+SN֝[uM3[JV(kU18pM?`u^q tSp۲[Q#Y/NUwԹ!t TQ k7݀j+iOKn9R36ҁ,uRX֮M\2rf;9跁&!ȢIӏi0GW—.H,1iZWL2}<%6?{ѳv#:̒O?ߵ^]c_٢/[nA~r0~Y(Uf;7k==T@:1ǖ[ii q]׭Pxko=6"_|_{#Z#>ak8|xw޿sɤ{+ď'ɲ%s"$MF7C:{܂Nu 4 QBk`t*$C,=vg0x ޒ? 6~fҳ^ZPS{nzc<zf}?A|k6k4H/ܛNHYa/Y=o%ւG>?86$sɐ &l!\+-3tL3|6Yѭx`ҏ'> sus"y.k2J$fWe.CǬ&vscJaw;Hv3jHUW<:sGJKO@  _|W/ʱᾬF?`&0Zو=9u ' GSrEott҃ZkṯvH*1$@I'ӫh4I7ߕ@|{CzW񜸓 _tC K0mbVǞ p\1Zvn876e !N8q t_YkN.^T5 ^LDA0p_}XUU$UV<`A2G簔+W{s]xnu=69"zUG1Y|_ L }aЄ98tP^jt E[)jm0Gܟ.ݝaHQ$C1 ͰluxZ Aɔ 6AY'fV&Plx[ 8V5\r2J4cY'rb@GGBV%2AS_iH+r#@,j~8΀vQS^炇>t^)Ni̡?X/\Qr9|S~P#K jE,,'}:UCmӓXs-At3՞[ՏPh|"WhY!}3*oYRHL,^@v.GѯN'Vks[v(֑ +h{^|:81G#9h֖$] j.yE##T& I3IRι[$?7ْpX;SN:o>=Ƨ#fsu)9y6ۀdjv\iIp_[ftFޠ*>H|xoü}u!#yȒwK_lr+hӾ燿67{m`~hg{~iLYީOfmiKhl,m&{>wgVZ`wOA㜾==o!XbD1D Ɠ'*au0cF4cY|z5ԧf}y2!x X@wqd^YV)`7ڐݛhH3q'c[lh u6VxGrc6-sQh0$}ǣxưܽ fLM_ӳ(/}&X΍Ⱥ?Gee1>b] W.וʋo9>Ɠtk:<*nlꬒ x; &y`~ѽ >p-cd^%o#ֽlGoR7ԫ2@ߡ +o*Bp:A^ڼҼdRtL<Л-o]5+$#e, )Nd`|$dG*[s6nov3`q]8~`k&?ki({x\yÝ suO,Mdٵ_}. M~þՓ0ieD,' %k92np˝VnEv+_j $\ v=xWÿR 5bbGӁ3)U@߱s}k\D\1fI%lJvI/xZbv0_A9<$i2]yXC<h\ˇǑ`@f=wm(= k)bfح-յAvO#'!32awk}t-kVC_@" %SBs249OGɽF;O@8 !va45 n=Sl^锓J9,NT$"@h){KJD2pΉt 싏`r aLc{SEʊwfYRʓT?9+ڤ32Sx\: :9+0lC3@[R ։SҲڌH1x!f#vh*KPx9Wk-Ð0̡Zgp:o2ȞAf2W7[Ul;)hk Ϫ{۪tqd+G7}r" I/j/- ~zp !JhX"c.~%dɳV64{vA'a? Lpe {n=2^"!^=JOwV '3̀ìz Kx's~*9:~| 3{G~>8z@IDAT >E{FܖXھ|$c+? 5,%ا灯AYq Kςf;iǦ~zTtKi߃Uu6mu]2yN?w~,^ە*ª1Y }`5 p贑%L JH{5 F>1m`;p.9E?|&F&pR?gA_/mV@*gctʱ7QTCl %x⽘ÇUp:%81.i`tP']wv.=MbY VE}/*mEyJ[C) ϤQe#nt'W]:LjMVצ.T#o`t1's3Nu6+qx4MoS>:&߁QQ;&y«{^ | X+b3ts:;_bLc{?l#8ĖetF? D|P wp}Nj nK~Gn}b0IǷ/Rظe $ajokE <7#݋(8U{ׁ#^W+/xXkutcᭉaO{K*k)qsBـPC ޥ B'бJG}-7k)K@0mrGž.;`TOjJWہJ\ZWgG0X8{ x$CN&քgG w}fq 6Flu,n\J sz?}/1d {oIT=7t< kS1Y5w:hئ=nZ@~Ư=0Sjq :;Lz"KOySN'[ !O!V%@@qA眾b jSJ{0Hr?S$Momz%@ϩ h eπ n|1ǴttPeFeá眑{9˞2q+<,f\)_m^ɄYϙw rDfiL-J?1`9,c- οz@?2o\2"|v\Z@Үc*#?Mo@:sΑ7 gӻys'т@Yxm۪ `#f$rd;f_=DΊvq孖(%s׍A!t@7تv>oGq|2a:Û kp#=t&-KYjim~׉jT~dmvpbc<pV,U4c.ga-8Z"~(LBpuΕFc*C.q/aC}7x@~]MoY~] x Ap1 N߾#_+: þAϦC$AB5 vc7(_Jyp}RkԦdO[nt1ʂ~er*f C] sɧU 'Z&ſK9.,,${fA GVĕ"|Wb}>˳ G'tD'_qNm1EuK*Uoe@5;ϑ%Nmx6b'ޞ$ g_`k uCōl) @M!@`I[;l+Z#R"ݶc {)/ cxfM爈+ .| >lƮ+nd07gQC/` uE]f_[JB~vz8<+^;Gku \N_[䑬>VNxޫpcKCe6XG*Wqw>:L[0go"+C39C.oz#1Kq];^-i*r{ɱrsJ:T(!{aNW8#. 7#M7?l|H$Ŵ[Dٰ39mEڬtƫ ǯC|Q0 +[ʑ3Y_v_EW S OĻ~k4A;:qg94`2-Kq>i.[?~@|KX*[xgbXoonC,g[:}|]P/T+~bPv̩D36&XAӁ*/=n-q!Ճ1ޚOߓ>WvKf&Yud;<iT*"}54?қ"vy:tmp ?{VQC+iS2h(]'A+&Zm90foLepMj",^rA[5 R\VٱLr22s!YE^8Tl;/)m9R1Lxu$3ucVblcmk?)U[gOxAjFά/~)wkeDPFD|SL!,ݻ 2Gpg (0tA3lnCLV?l5'я5؀+m)w<:͹w:~ 7r1N]31P?vn6q|p*7Aӂ/}TCʻo=<ɋ's8h.xO Cz~$6 y pqU? zrfKʀ#,;K9G"{dZ# 8pAu z5Y=*@*"kיrf*Pv%9|µDׂ9.|HYpdS48E*+po\r& Ӿi32S*X:G?X=k \-M h[>4Pz2xTf{ۮu(.Vnf }>c:E|~7 O7XofT j:`'~k [Y>~hsDx{]wJ0w`G+t` ~sYW/5XmA)_(Qq/\^g'XK(1`E+A (z:ܓ_FY%|W{vˏ?{=9cyzvkMFfDl=-MvhH~\7=9}_z«y~$f*3[Mhg൧wFk6ӁT$MlQ5w ŐZokܷ79mއS4߯ZBWpIKT% Rkwh8d(M-ᶾ-y-W ;O*AhKtfr[RyBKNlG&WÍ8(>[Ix~hds`~r!"f,W NGJׇ]#GK<)U3 8EC?n\T+:7/}X =9̗xaryGwmE]paNо_=S>˿өwV|i$l$zB>?}vg'DZybҒhk8Fl tMf-}+xl>x}}Mlx//٦m̐ a?Xxr1|4wWxfKfo{kH,l(xn(8]MFj3ߎ*__ivo&HC=t!yx/1W;PLepRL˲]7TAva^@o[^jN9]_`)W>D)RXUYo9!;0: J6q8O*M)vFY%H_gVevd)]7'맖baR‡ (Q.w*p$*J4*X"Xt~NvwpbQͷtd{%u }٨9\/ijgf?r\c2,-y^Q#rf8f7NjOǍae඙ 5Tf݌!iPM<_ΊƟ b ++G7T#-K+[p:{+) YI 2 ^Yxr %PF @d0\iK:$XvIp 9+?<AiGD10x O9>+w)f&D :]S{9t𫠹ٷ.|V\ zbEkxH̆2{:XN~8v5U9;k<}rd:Đ5zCf9)[$ c\d4{cGQ8o{߾k涠I7@H%T/u0}l:oէn\Lnp٫x`<^Ѕ_,?o0~Ľ,Q}!YK 82 $ǿw%HQtdt|.$^(tF1OnmcD-1ڬq2'9k#KIOOo =bM63##+w=J|zm׾m{|M: љt=zY Z >q'0f+(DQ"x?i m+$?>Ԃ)l=Ȍ+$">L 7!]ėm ;/KC _B !:o5d럛?g—Ggr~Xo/`67e`%aGZ7Q!yByZӭ~1KDAO]͒_.O%O4@w_;՝W>ELxN79oȊ?lu_m-j`HI⣆WYIyB9bn&mH@t:5z>Y{xdS4͗sfW#t':\ރw`%<Єfy+%0h0T80|[e⎻V/U쫳$Dx# S&UvOר +Ź`pL3Tva{`v[..U:$v %c k6ocmmfV{Cxy% .aBQhJ/9ܣ0t`s*[]%FyWGO\mf#l<^ SO>Z:.2r~=8=],!?(I*ݻ~g/w_dK]aWh,6`Z7Qg6cѭpW۽pϓ$% T׍=2\d}V{Dkڈ|U @TdVtn^>E۫(_tU&qQ+l (. ^g6 59gn7]Y|֯Tws.`w,Aҽq~^a@?_ ;5Oҫ`.=q^|:Ic'o,H^W?ls:܌~a +wӮ>hL%BD*2ȀNKĈUg[A(1-1x c?^1HSG ٍ6{Wi^O(@cLK9 povB$Kh 嘝RNw!iTN#@79J1(i09fJ;ϚM $99HN̒ :懗Qnt:<( ZR-wӌ5Й{ǖm $ޮPhΔkuҪUSLe1v4]LJLB7+öBYtִ{~]T{ G.Ox2bor9~<9MV䗑Ỿ&v0f;Kw8O ђfKY͞t]]6v7Aւ4= ; WŸO`Xh:O'+-Hv]")sSiy쪁VHxdȿ9rDt%w%_ t@4Ȣ9(:@8nm{Agwd f% A'n?y$c/9XnF /?oV`|E KVxsAȤ^wK|nxnV ]-$g{%~6*Gɀߧ7-o6PG:o+~vop9~2dS/%plkYdN`dwG<}L.F˵}||{xnAe}|ѫ $~jx-c w`co:¯'<*k p!#R}TPxO^aG% Hs Eo64XY3,n?l~ͩ}/H~5:c|%%ݼΔ~=^L[n̞w)](+.bGs~䎲ଏn0W s|JY#n*ٵ{?:\,Zw !NڦC@'NvH&&O5t[pǨN,$0]A6ƾ.Ux?r::ѺQNH~g@@*Rfu8{`dO`raS_q%Hi &&/ ~VΕ@N'qW/:pUvޠr1N-ⅤmԀ'l]_걭8sxy:b?@>?^Mgcg WiT- 魾em;>vI6NcVkr:Vt8k6RF!SMQbQe᜜%ޭ)A0w4ﺏ'R7]_,;-? =x U{U?7p*Z~A=*ni#ȝlj+3>'9љd=VL,}N_Vj]Nޒ>4Vd}痝S _5s-&ac{02etcglNn:TX_ȝM;sfݻ]f=}u_^;`0,޼ygM|W 6Cky?v3}Hvh_mY/؅99ICFCbQu@ o[ ςbW^hǛjo􌟑lV gA+-uU[ۘS2VQfKoe1R 4>qzF"dS'?Z:o ˮO6 g͟֎@<9)¬^9^I _B[fF:h~Y߭m?)f"%ܮz`nw +pY_t9'ko3R`Ť88rj -U/}ҁJ<`B7ắ? ` ~u.y08|մs:%.08j_fe|J_D)k6|;iOʴY#1e6LhGG@1zVۿQ5((TO8h ;/72,k>vqjx\3KR= CոB!Tn1-P'#[dEt[bz[l-:_N<Atik*{-!v,ت-sxrȁMߴG >`*N𴇚EJ/c3湑z= c4`k`m}]2qJOuO}Xs4+A z qI(|r&%"j?I%deOIR2`ìֺ/OG]I9ߙ X0 S=ӒIC{bJ~F30FN|VOG ڸ$9is}c#w~| p{GﱵW;[%84ijkw\A ~IxTg1m ºN[^i5;Q̧F`W8A -:}DpB<<0;/AWkֻ| 79)u tvBՑb S -?tvxhi/@V 4\G,8|]x`ɎUa2A76dZ3/sA&~{xlͧslWl[Z:;Ʌ9B?xֹ i4飂 Pt ^F눎Ev։v6j@щ!Ɓj34&<6hsyK O:<| ux)3aAhqDrzX'!`8XB&^[s讵R4;39`fϬFp 3sPpr0G>~S?Kc"/v9 5lu,Ku:~tRIuvxzi0:dͫȶZ]?_G.nm^> \';f=va<2x'MR*3qĠ WfߒT~/87=sOm̨&OC> Uwu8|/tA#ɠ j#!H[وd V(9fqC~e:ŦJ?.T5=?+_]0Oizx>Ə6k&>+_>؇UM}N@F䫍N?(34BL)}d-X܌w;10p0܃-nҋGk/_',6KH>+ߠI88Y 1*vQ rvT6C쵒)&{@m_?=?_/F+K S9gEkjl_E-:tT$4%\ {9,NWѳ"g7}k?oX[!tmm_xh}ȉ1ê;_f} Fc`Lc=aF~wz9jyahKgt;>+%6?^#]x v6(\[\AS7<~ ~X0n'dAZ|ߒ:dͫ!0~+Ӹ'T\pVG6 HA -b(b`1wI /ebd'E"b80qeu pYbqnF?}0}xa(0s%'3QG4I#l+6 ͚MiEc'SR@9 b=443X#Β$OZFi$!Kۖq{ʠ]gnm;;mW>k0>aAPؤQ < -=Vɥu<>(ƳTۥp1ðW?ŎkmzUɶB7e?|gd:dKt~y3ȪMH%wDz3_&7 kr2TnZ{@|_uۼ%l#Sq쌞#IbHł2obfpli?\K;|Ut vluj&eR5mvozkKwCc@,K'jжMw8uw_mNw-V{Ljl"D[kW9ߓnl{=MÑM[3gGZ.5D@F aN-8˖Ё(=l#yxz6%Q3 j]b~O} ޲lM4x~[U;_{S~8 WKxu"?ȯk*߶ς~l.Z_[@%N~f` f3)`|XfkHP1m)?iR{v4yֱ'y—>},5x46 @KI6X ]h 2{˱cMgضv'\s8'!+a(C_b1]_M(}j|y<\k:'t7C/nn^fQhĞ1t:g@/]\K3; %rtqA>k}_W6traZ;K{oo~G V9/[n@,+1k(3k4r1;MJwc[Bu pQ_^yob%r>>In@Ր >O#Л F:ggM#4_:u^吋~~lր5qh%Vѽ^O /͊A6j]*Wa|?ù=?ţ|NU&S|uJwF>}QtfBr;k|:|{32K𥟳p֟zl`/õƽDȊ>rig M&e3L-֦n3pm8ܖb xHVGgxwg@G |7_^8.[ 𹘙rSS4QZ`=t(80To|WVaa/M3;[y)k mwf\,AB ײu:k6HPk4>[TfKg Gi/`t:;t8gC.jPO R,X3=Ty `:BO;1ҕ`|'tmվ> Ȭ`#΂Vxfá_xD l=w_m`O3JI֎6 =u|OEs2vwl+Y *v ]~Up#f?F B縪׏ 'Xgk+G,/` mHNO}Gd1u :6ݤwjN; ^ vGh4l f͐N_ip pf_Ӗ~!._$_;&>aĖۜf*#t3I)W}w/Al|FEiLλ>ݳ{=mG~J8o'0i3:%w=A뗒Mf_Ӿ^[2'`'-dxa &0-X]3o g?40hnC? vhz_{mW%NJ%ps+";6wSzW6^ Z}dheG}ӌwxh V&Α`7.ҋxݟ&"է-i>/I$3Hg;oYLZu_4{ի4_?_Ձ NxW@d 0.I]o|x$j{O9Ow?|}f'I/2II^S4-G~Sk4: %gO߬,G&<9&SO;>v<"'>~$udQ3P Vg`.u5v.I#}ju+K=F'ibpu/NQ r<}̹ҏS:XɀjZ"9PTO8%:ڗկJ*׏A~DOXD3[Ob%<Ϯ}O(FEL鱠,wK?  \8288|B XH.@bJ>ӱ ?`X  {:~د/x6{ŨN_ #yDa>͕dǛ(=x.Kf{=qvݒ#֍)Ɗ NP`x Y̅菧%bIeo)A+d$+LΆfl!Z S~.a+J֓wze2n{I!Go.E!V/ZխM*ޏ~uz/Ы3U0z<307gD!ҽ _6Ռ#AUtZoEs Y,ڂ}O}v*@ѳ*ُrX|q CO1ᔆjBߚHutd+7ìHm@I@=3{lČoOr{%=)%}Y9g)&#V,Ćh[nOA"D6~蘣$*SX(v߀aC7S58ns -HЛqe9*cs_%D*-30IZڷ90 ߮ NP:U2:\AU6M.()Gx .k&vD.-ǧx34Bl$(;zE:Eξ'y3'9-A'pa;^p 3~i|:$ E5tˌHtTooJ&HcxVGe W{< 2mz=8TYEx `H2HBO;/|xuZ @dzW;XKƀ%hݸWiK0o$"9@IDATw{ !V6XՀу_{#/oOB3^=lS YINf|ݓh[fF`K/u!ȕ`0DaF@Bm0[zU^ >3)E*)Z~I8g7I_Euo|kEe:*@!vePYv~scxP+( Ʌ0?!S+RWb/>YXH}=.q<"i{Ƥ+nI4QF}8xA <$WPխ23es%I&i$ճN(]%__z }l9O1JgwA/p|o Ay~\נΆB ï25Pd]wOĽ|o57ܑOnmd{M`7r7D 6 =<*jz7- /mdIdJ%̮$Aç/i]1)[Mnh|o=M`8VeUٵ]è;c*ݣx`Յ]]K#lRݬN[!ӓK$[%w??:+\KLH"#A/.1a5NpX_“k/kb:YCdO).0Sl^v7VYJ  L|waL4eŔĖYІz&5cv1U_jȑfzafוO{S@c,vf ޘ&?Uk97t6%촫_Y _tO$ochK~cZ!$3xBPCUxˉ4Yy xPOwLHe|ewAS9x@>|˖O)c]6s vVPmZ"88珱2Z-]gl8;:5F >1bD{ӣvj33`)a3n?Z*`{ xQJ4lS=Zs gsdJo:f3\+dgJ&8$ՍN}/x#zEjB|D/!pB*_}fu49M|i@}mduwi% {:(hfI2-M:ɒliÇ'8L<יFG_]|+'CdR/YR {3Y(epGuaGJځ]]e:v̚՜WI]GHy\'/阃ҽm8n`w_ϛS6tHf3QS*8?ХYYPӋp/[bs [NʱWm)puTqk>Y{F1-IN:;|t:M6XM%Y#ZaVll>إ,|[~ @`HQ6{z|y}ɄX== gvUjǣk=gv l[@ 0֏ dJp0㫥JM5苪ws k~h)AI6ڀU~II)ZJ"Gj۲dvwP2c[=z JţyNm&K̴7|]+ɒ|ͨ: /!>BCu>Wu{V-6Wǽ ~@]x36d/7HtՄwG lN}[VyO^SiuI{$>K2Kt$zEd4[ر+ZMTg)(}ښ4Q<ǹK:r@<ӉD;\!i༄JV5<*$({OX-2 +!> .'5Y*G+xqȦ9|:W/}߭DV׎vMOAq}p^W֪U+y^zy+M3皮mvq/^CL}?z~xx_>7G=}x=1|w.]v?!䴩ï곙%􍝘t7|DGEN jW+"$3D6Kbl SDV*5nkc41 y]gխAv>(ڂ>>i`uISljB$=l)?پIcT^um2^p$ٜW~Ɠ>{ 3h?2_ӽO ':ܣ7U 'ؗxV<WC&:X[wO)Qެj,R1}28Εӧ,̌*G)AVj7 :w#/ޘo&e|&umɷJJ </e2]ߚϜ B?"ȟOq0#rzzw0`@q`s"1m2?gdGh4aЕ9#*;d@cY, &X g&͊ SGޕa uPq} h3\ PbmQ>db14c(@۟_p\@2QdG0+ w4"6`0dΘψ~ 7S}A 4 Ev\ `̓\Yx1e3om+[7p)6\"L {qY0d6e^xWeÇx8Iw J]{n cDԳfiϮcKڊ D"4IfGW3`u 2 t7VuIwx!ׯP]Ig{?˽_ qm nl?*&ůtۄo'c5{ pv"mԷwT{܂| puѹ0͜ӇF3㖜; *e /zoyM#TR YKgO:!"\`6#K)Gݽ~M % ,~#+3d^]VKM~x/*k˪ z%l/Tieva):kbEMZ,|X1KF]mNVT0MȯRBٙoUt@yfJy|&ZٻmgVh\}dMT㏺?͵ӥpno<6}#g}GsG ߌYvFCw/VSi{mUo[@E=?wbl3eq_/>҉ P{dFH 5OXl ßS!ktoC֒L/_4R1xmʐXpSf]e\ؠ%+W׺k9:G'^iՎ]7BbM<0Ơv+v /A&)4|>J)<vcU ŷ)vN nJ|V"r䎗<,s ]9L=g%};]$Do~4nJt]Č>L4yoGMC4>Sqg>8vzV Uwc`+O;]?zdI(Pz9YЯNܧ˃1ZW\:wi[~mTo\KlɐGd_āZGf+8sp,x|^[].(fLX'VlҜLNsm¡T Ž=l?$xt] TaK{Ԡkicc ,M>J`ߔdVP93}s5p-U, wr%}OW~cC[h=y8Y$=udfbͱbŰZX8 c4l)_ Ngd^sZ\v S BégQc 0^@Tk07fmVQq=y$MI LԥL DNf7Ag>{ bM)9=,q5 E? J~veoF4 (kg`iRǏPKZ8%#/Gw03ɢu}NB }}D cſUj$^$-U/pϊقƇgvhkw8u0Gdɧy>>Hw"P W:ʻW3 fIαExۺ$W{hp>0rv%2Ջ;Đ{vOO%A0=9 5O'8ϕZp1䭭U ѵ] cAL09!tr;mTBc l,Ets;4Tw|kOE a+Yzy={>(ԍz;Jo|3(%P~i<'ܣ$,prd2Oc\]ëɀr8T~疪ҭx/Xd;.u=cŷ,oz@yXm`ӓ ҟ(1{*dms[lmm|cwx O;mK-g7'V{kaAAe%؀6|%UKlE۬ߞؠ}3hӟ. |YPTk&-ٻ@4>4ɝ^nƭZɝ~'9۫׍NKYkOXZ9>MFD^Pnm]|KpcC; ]g'8ŨE 0>?ή>x`;n_+5ERmwzc`b(m@9Gp!d6KA*r]yW<_uW8{ZT÷ǭlhb}q;):V\ʼnhsFs>"H?j`%)G|je>;QXby8eGs}r`|~mn.|ɀϪ|L?Un;׻zWu dY97.vjًXC1lܐvm ]`|/iԋ+KO%W\"\o6Pft_>]d+ڇ+>_x=|:3cU>Jcs|Z'} ۧ=Fb$@* NѫiG5z16wh!@6VA޽$k`ܖ :6 )&hB[= 4wŪ߽xғǧϳxgmkg$m9oHbО8HxZb,ƋQ}ݓ9h7< Z_aXIΖـF\S-AMd0nS2.ry]Qj-#nm1Ӿ@/9z,WבJKjPi*nu ک $ŭA[nUl `GN2|k8o8hDfpkeÜVاz_R P5xы|%|$}[ח쀶msD UhIl&;Th['Ź{o ҍ.N3Ld{YjBR5%xmxևOtz|KdNT- ka.lSxI}ic6Z*O;VI&/6̒ X,}7hEj#rKv6N F/ul(zB2Kײ' OaTtɇIA 3cddO;Ox%՗ tȶX߇xD,V]~4$Z iJ\o{ Ҷ‚`Ӟ_|=xVq G[04h|LK)bNnG6}?_lXy eq4؏xH"k~dSrDrHFB^lhA6aj5}(Y7jg+7m CA$W0ko b"DZɮ]Ï) YzmBO@%Tw.?7 t]7|:hz6ѡ o%yi+kCd풑 k/4\ʹvf#Et9^%ņq0*:.9aK}%YC\ ?O.̕TO ֒TǺ2ꉛA@Ѫ>7x 62Ѐ$.,;lI|VJeSl`>^}}?O !͎]ZB#DIB r&q|j' /岝TᚉFSPڀ7ܟwC\|X%NJ)g^h Tl';H>-q,YmbJUG8\ '-IU){GHD;![{iu:GI(2{.O#NsY頚20$Z &>&+Zs;MQǑ;InDhŃJg*8@zI2eܫvh>҃ bgϦـؾA&&d _'qp`U)xx$cT'<g;ʑo\I2 ^%ʏ+뜵L"Aq vpimn ӡ.>oA'Ac l]3~h7k~~'7{ۊ&Oy UqG`z ;珢c>t7nς+$_Ry¹] I)^ {9?Hx?~-2K.aFkA G0d$L[W埘wjY)ah7{?u)IOh?Jec]A6ʳ×!Z~߷)͸әh*9O0kzߕ乍Z?kYDMT>~KV7WKR$f:xM`xmDTUbaK.CmY> ϽO:"@zKs;ҧ|WmqF)?L`1{zEs{}T49D 3Hps^|S$^z^xSI^#tl2p{ZIUO5' \%{2:\ c~BlgcW*j_[c#^q8_#@L=j{=߀(­ tout M|u{ qix@ 7(^bPt<dx&Px]C1x ͮ 8ˋ#}tux/6g A|RR)dHjzfCn׿֞$*y=]\4p{\Re&C8C3UpƟ..LӍA,Qvw #x9(8akg=)q{W yRIR>cLb(Ӫ#5;N.Yxe~r ^l;fVib/'M:rbiCL|c~DV6W/_$h%jʬMdt~M9q펰XҬ8|N'op^]3> nZ8g~ovmƘ`Oe[*e{[Bl2IGy`pE@[`ι`#Ǻ̜KI89NSщ/0L GᏑQ=PӳDPEp G@-f%yamCQ/g2 .uj L75n#'ƱhachGg:\ӼeP3g uXYN`b,ZH6xe<2ٗ|$j Q.?.qqk]Вy0>+2DN9de:%{hT=}4:}QANhk8iyh=!@;2Ȩ2V{В?N"9KpŜ|n*0Z6 "ѡ1ux 9jYHpȰ3~ʵj|f5~m&~ɳ08/0;op8ZBp| w@ AK3exsU˛O@6_O;^6Sk&h̾y>UkGx8l#βA` ZAjnۯ=MOŧN0t/Xd]@ά}_ 쒉I6;]?7_jED;A| ?gKt#^U4gG\dIA#yUzԬ:_YL~xb h{}cOO|>ogW?6n'6b:rt!hOن=w=&dV:I+ lߴ>w,"%+KZB:O2+ OuiM?v?+٧ٙ fM^IJgPwtSpl&-w;8Ɂ燬2BE_ 8N|36f53NW%@GAsa5*sN]~X=&V@In黬TXxc& o@-ʖ}ftaѲ%)$?>I*̯4Z[ ?`#-e3o;m?ǛEtW/va٠`XYm3{`D+k݄;a oq&c )`╤7G4@h>v/+J}Gd yWOMlP(7P5Pm;Jv$]dX{EfGWI_ tR66qU!P~R9M@ViaO'%kc LE}غ|9KCQ9g2?][i}RΪOL_0@?=mpc';6,X5|7(Go١/l,\c&7FV{}"p0v4+66E>%UѱTlc Mkvْ#n@'!sk=^!zn >Fă Ak5bz>[xx.<N7pj$:7_O n4Āp<ށ/yT/.~ίd 1>7l$["_ҁ HZN<3d %#lbg*C+(i?$]G^8=:mԏ~ Q#^p D\;ap!G(ܒ܂Vh,lR1yE[ ULGu`z2\ Z !9[ً3 hxA;0|ܖu3:AHBp_ f=sھy59^9ѷbhe:fNQL`p8i@.$(5"`D¡t?CPtxǭ#iG'CN- S[: <07$领];3lCYvAU ub @Eoܚ%'%rqr':h ͹VKdGx'c3. *ls!PPd?N h/xѹ*'(ˌi?,G$X.a0.n{+ByteUgAY'-iЛ$xz 3kƾ@nߵtݣ>(Sg@i=a `1:Dо׾ratyגc%Q>8Ql dt}o N=/P [_> f {I-wUWSvL^ fOl,YI.h-b!XK_VB}U zMI_޶$>7oooN`߾}? O"1fL]xJ/݇w@tOv^¤o -eWP }oUle@+`O&;, bhF_%m%@һM  &=Q'@^t26v8c=ArI(t3ݙ/V1VegO3gH8ڔf$p>1dCޚQ tY|A@RDox{~/7{nl ΀df<8}8E 8Fs^'ik[Mw~7tU`t1vWϮ/i?CJF'|Ѵ?座V.4P[Ѯ}fʑ#ݘMB)P:Ѱ鯃 P@s?rdxݕ @USeYB']Tx2[ >aXw#`4ҿc z}%}TAĸ[(&MCzL.[;&Wo)|0)xaxMtdS,hH~+YbbTxɮoHrCcy]c׍,VohWgW;l_RH[Cdqi0S2KAWd>nTCi*܇gnǴ{;kUMIu_-Ю= :ŋSWC%`wj{mra?ϧ{YE_.]Άsb`H`l5a|gxar8 f wcUí۲`nF f&H\89k)Aǻj& w?e# Mv cUIPc CC7T<_8ea'?@iT]Voν*9`cmL36!u51gsz@OBCj#'2# (o*[PU9)OpجM2@e,1w%deΚkN->ټʁg \oBI2 쵦ɺN>O_zNFd@|d_@`W`' iˀ9nN?|eoc !]ni1>< %0eη"vtz\g?%/ Aێ_CHwK~oξ>一ZGGFx_r0wuf/35:ݭmJŠG9,M_BLnT~''3ЫucƻW : sk@+7A,zSBIl7X{E HauC:PtXe~PMY=ݫ$V#!>'𔈳#f߾~z?~{Ks` $ MH[J6 --/4*krXP G M;*HNl_ӏ%J%34D^{=E۰l>_g'əM--hgUSKh v~<ɯO$G/dvu>5ۇ, ww%>SCp6ʡId0Pp 8$TЯ\p ݿ3O` zǾ{TnJ.MB0¤0M"@8^]C$;8( %JqtW8fR}YLw{Udx˯+6oqYΞ]U_ᓗ̽[iN#vݭ.>]FaHYh*bq/҉x~qpq߅;A<"E &?f@L ̊5|Sޓ6 ^"j?sOT޲1MN< M ~^hq%q4V=:v(;8"*@:+'FYÕ>`ۋn<ȟ_\%GAW4drP@z:.ί <הf:7&BC&HH׻$ݽӝ~inoµryB؅ ȵU9WF<+O&Ҁ`EFac&(k@lt=C+oDgx6߅KlY_6x Vw̖y[2|}ciYVRVHa1eG#tki:@IDAT׍+!r@qk@f $,I :5 #'J4NPr'A)[eG@lS;Qv3qf1iߚ9,үTzF6~j/w͌%j-8Pp!x;:2H.ӣv+)0rВ qf-:Cp!AubCBv4tt P 7˽xTOr_W<ߣ E`LЂH,{k$zǶU{+dF7Vcnpr0)΋U~{r*m3(WXI,/T[:YgxݓYZ8+2G9C}+9*/{dga:?|rW@k˩.d~67@,zJ7_#߽"]iGOصI@Κ ]E| yIZ!+%^dn{Xz&6ZIfDn.|W s 2 zAp~QUIt. t P"<9<̶yS/#i+ey0 C (/`#wFF-pƃ`tw6O}]rL# IxsUĻ48:04zAY ߙEV:Wu ~oJ:%N, ͡⻁Xd,Vp1 Ǿy$UIe2ӛ/yRv1IvcJ`b ɡ|)L݇[W2cF89n U@omN>[ug@"oJEU&ӘQUW^'!pTgDZ=x Wh$WF ߲{[ӡ^kQ&L>nz? _@iC5^EĬ'G%ɺBc+/'`?~i7v^}?*J MǺ//l68cQzͯ>|Jp^PJoI yCx$CyȤkعh;` /hQ^ }芬4d'} u QnL~']}w(;?7kxc.oGLx5 e}78lO;>?l ?}g-Io|K(l]b)S{[G~/z{ʐ&@~W(1),aK0:[B82[0hx<bژv.4{]}Y!AS3hQN 9,TP GS=FC ,/Jm>@DV=PBSyƇe.+(pn!sɀN>)lh:P{wj)Qs=d6 fw/(\Aa#dx\/6 nRv^ L\}12{r*R}ηoVbz*\8?l+= |@?#YPY:N%[jn۩ٕeS\8$cd@חKow2~}ϪOSWʵ$N Hxcَߒ1tRZ4]m(w)]޼ B[fm/١ճea ⿵]"*/R c}~oWf_g.(jTLH K^-$Ŗzg0Rg=HR%|V_عcVFXOY<֓y8ł||\ ^#k7nugyaIh֖>~WWw;ǍO@)*_-ьVlNɽ=?5 !pX^Ƴ pqX?<k5d[lQ'nnx\$HM)u> =~`6pMu}#Ml% *.1֣z-zк?=~7*Cb>bUZ?}H`3o>G:=ʮMxމD w3x?*PzDoIM7UGTbm!:Y8WKe'g|?~zV)W8W@9n vN#+EDb%nZd{Woa!~%&|mf.7ý*%4ڇtYɜm6:"gd6ћ1OpB$.h'1ӆ]td\uE|^9mY7-Kh{hl %ۆF^ڟPgZ6$T8`eq|8ׇf4hԀO<`tS6(:9uVK,õv6J8xkTr#Tux1+0R(v pCo:IqJfHj Wf}V].1㳧Cacu6cD[#^GA!sO>W%LeX- kgx+l55'I<#$)I0)AZg(hﾁ{At&lPhEN{kQ|X JT|$!ch Ys:h5S,`NonuEǧo=%hSvq%AF5=}y-ekMF=k?9fa6ș)t3]T'r. 2 q7$N*qxe@\'T⛾]]໠@[%lk`u$HXqn;ģu_%û'7/gfD핑)_E9Of?0]{1J}t/8b$4ю3Tܧcxl&& @cz۳P`ZidO/Y?3=}i0+{ j'h}m_~f<dW?7~wɀ~Uՠo=IgwK߫`x|+_‰OweD|%L2^k v?eU:/c~N=_GfXM'+a;/9*?%݊ |{zNOom_*ېC V)$X1ACD M7ڊ&: w59W,K9>[R}>0(:3`9ΌGw܉-$%2 R뎌׏ TϬq{ b1?-<COn`IXi[zұ>'q/ Ò&*tF-:/|9řxfgH ^ܢohOvKtLm'0~|Uc_CGɎhV9ݚ{>t<{Rш w!XlQF[_=I&[[4ʾ0MGWuc/Q;iQ;}N]2KOB2x vdMFqw2m v:_Hr1s  QUFH'sO|oR4}0VurS>%4£zN7qZ,G6تq_&gF&zi/nzE`ѹz6t<\!sE}`?j÷?m"gM_+bP&\HW<k5񓧵nt2@G_/.wϢU wǣC#*xw;I gO hioڶh 6ŭluDWkSj/޲n_2m<Č۽θnAMt1)A,A!F şˌ"QVe7ZkSaWնu>TCyT 狲esV"4xvd\gos=ƃ`'FMo/bhC|%tj/Xn^B̟ [ Z @d ? ON)L 7 wxMuẁy25_.TO-8{GOI# ƅ~gV@9/Q4NvqoxvDz^А!m&oH?8`o_^kY n[*&WOK 2+FfjIlLlφ7#N<1pꟄF%^EM/ۖJ E`}E]Ս#ֵ1J_? ί:Nvv 0WlwGO 3JP;öj.swM4F g8Է;t V?Gzx~E9:fˁn&$xWSmuluWd8'=X=<h*nhdjD h=[ oxф 7>J;ˡp@s /~Jq|A>^۲K=sⱃ~|߾{3"[h>l<>\x OcAi `곒e.SrS6@ $9vVUZNP̟?-v/oӗqf\9U6(ʅϝ1.kll(.ҷO_t襵K#,~oӑ}@*{XvhD[9~aE vO&t7˪څVV^ÿdcuEI3y@/)^xӌ|ƒ7}'N? v{}W/vOWl!F 3u^&.vz2IV\f%|O DU)o:4|ZY+dM#쇜| v8Tb%A!Kw_;T^*/O|O"^gT F1᫯IWuvo7HoW*k.ǧhJxmx6}s&.:-"7v #pocW-fNT?Ѧa~ec@+fɈ2Id#r|,I@Ȉ@#0s`Jj JZT^0YڢǴ`໱$űde`:8Eڧ@EŽy+Um>chLy5.{h^蝏5vCؘ|u3 9@cx8^9"{ŧKƲ`ʡvjC|jt7NA :V|C~$NZጝj~$@)A7KaUm݌~<& Kb:'K۰Bډ%e=F\}4>Ӓ^ cܓf1ÄO{YtsSg2-ujb 7, omV%l2j'|,g9| sQ.tЉ%3(0s^pi*8ک?C[( m7S Vcd*( @kzx{l۶1I$xuڕț -i|9h<`pN-lv,iW!1`޲t-8Yf .͘.Sm9Ā1iV`tg2 o\ X0ozlzNk? =ҿu9 #G>؎I 7ett2#64 0>N ^0nX:^>^t?I1za3~Y͖F~Q/Jzh-Kɯ9RjG.4mv bFՆWP9nK;[= aәD䊍6OͬǏXg/xáO:C*d\_6Zy:er Zruk0CL"][?>7 o u{L&daXz- Q|ly%l(Pup~64@%%4aoxضVqitAjUmQɆp|?85{k1z T`t(oBVfHܩhlٞtfѺwÏ_%?57F/Yw΀Y#>ވSr{< ~*q03U10t`ӣWC߷/޽s^_L_D_Wg=e5S EO; >zTv"x&>{ؓr0[P3۝}=_8=GuMHH6;7ׯ$Ԋ9xEm%3ѻxcKqƏmZ^2ާϲ&)u9xdU0,_ݒtN| #%X&{|> OzmkLc5#kA2jg`'~#FWH5|GU|4TWN6V0\`1}V8֓S]p0͵%+xz09IH'[ڨro+h-?~Ҿ9D[ct?+_s/n Fx pIʆl ݊G M#}ʻ,+Yvl=?.|:*N?7˫5:Z95 8nP﬏zUj Y%;C0}G1({:3m= C:2l+#?W9*Q2i] Rvv_Nu0ԁ9Iִ,hNd6r/'96 .UnnUsХ=PPib-fi%Yn$S褱i /4"[Bb{KBgڛ& Q7 v&?[\3I @{=膾d;3b' Yg䜱>.>h|?6=TŠD+ (/a#;%aQD1&MbbkxbhwČHpAR ΀ρxQr0\C59(,8r 8 X P F{mH0NNKֲ Vyo;21u s.Tj\m9FboUʨ-0fy‡1OR`3s(]<֫d@ ?Yzڞg9BmڢL3f W-r0g@WM jG@hqfPs<;JMd|@hs[ U#kѡjէLPClK-qTDYˆyuk5[pw2d:s]V$ w?~iT6|jC^HENq_2mי 0sRR?TnIho~yO,tq!9}:]-cV4P3Q[{gDA :{,)gk4$capfrhOD_EV%K}l T'{V`52:|ˠ HkA@9EwpS,F< fD\=cS,D5{8$ܳϚ|ɖʨ۶ӣ>l0~d0Zu)fRVD:=ۖÕo7knSǷv%rfՓfӔe8tRG~[golMg}_r m:P|m_J{K8CFa)^YnEcXmOlo~jzp_f{~,Aтۗ O'ÏWǶ V@rOd?U{,^}Ɉ-1|S MVYv3o{,_; ٗ{?9#8G㷯x!BqVHr=+^wIJ~[W4'? q /(Il{3i|D$[vndf{GSʱAӧeJJܦhڶ??t}%#~O휄Ag+YnSٹVZ<j5/=̈́޻ûVGPlA@f8щe}>zEz*ϵd[f:Y|BE>%K>`~/; X xor,FFZ~vn}Fp:Rj~P x poT^գG߭^6T7íD\a[j28?N*].L2?x۔/3NK$Ka˶@?.k~)hRAbK?췷|~G<gƅh^!v X_۽&]ٶ܄8AgvJXI>OaЭM~xY A޽ bә>Up+A }kȤX7WV0SV(?z A2K'9[+7[2N-S/Z?l5Ngqgp]itʬǙ z]x ؍=gQo۔dfNz @&@8XVZGP"}՛n7G*Ɉ@Ňc)Y Bj`*eAtj^I :9%oc'C{VEt1Oҧϯ@Gh|6ou_2{ۂ=ݗLٌ(~HLH36%jPkNjم -$v^g_ @T6 [RPD'.Ks+`ȵ6W KpK ]]쬇_YsVe(maCŇ(ޗnPdͫ fd>ָIQ矏ܷ% s,2ݚ=5m¡{mQ'?΅ $\}cu7T3Zî]u_\ ſ]}\$Ow%zO;";K[-`SܤZ󠮭u2 F7aݯNo5{-;⪐z)6mD.WęU6Ofh@9('*07eJ+7C^,b=0e0<<"<ğbxf/2׹XCس`6~D:ӗBhGuBI.|]ۗZx<;~̻`g:Kvf7R3r;k%gm8[9kNS28VLj$ Gf^1%Hb+hB+i#X%ZשG/ ]oE/鞗6+V%b4;U̎o]/SiS7G,I5ܧ_jЙ ^̯oezuxIŖFfFϩG`A|7>=^# $ fu0d`(mN 6%410Fʄ zf>:xr5}T_(!+ω0 'Y,%p]p[a3S2CWjK]”"oJ<{x2O \y r4qP/􂊧Rt31򏧖f% WYjsV&G"XG:u L~2t9==z~P~ߛ<3X^9ˡu}S4w]tlEK_(͢ԡ҇@>2M 38rv^S ؈mAwϾ~{M*Gh4]o|@3[Q"|R[I2osյo{k/[$舃nfҥ+w_39BJ>~|w?;?]5M',}dkNhOW7aG8&\~,t-7%OO[IoC'. ւipaކxS߃ 7ȘDGKe]2HThǯBB+,zkV-N]Wﮯ޷YxgU\ Nַ$/Y"&(Xt3+/Y>["X_"cEgUO-O\+@bsv {Oz+Iõx̎\U\ kn_{!- `یv>-3ӆ1/FlCu.V?T'Zq L:^)<{oM] E4>*{U;[r%{$CF/< Jp .IRU:bڲG |lZ-0.)A):۵wtS]B,~'S%MG>Rx)\ O8I,ևQrcl~~9kO[hW[$'Xd2z~%+w{/a<ߙhHC]_̖A1p,Fg8 @P M<%Gp[5|o@DA*C ORNO!l 0F5},G|6)`c$ 5VQ 8v~yiF C =E|'.tߡQf< t2;4e*+'&_ &O(9`/7uP@רܲA4Gͅ/XYth4A2 cWݐc@ |`uf̖&XtЄoxhɷ"}[^h_xa@:^:Tхğ|ѾDG\md=c=3 !;r;8̞2^tȯÖ͒~WN聿 d{D+Xai' 8'x4 ^:J+ـ̡{17~<9 _6PqSZj=;_*%m&k4OOإ[L u[f%7|Fr6D  Ӡ⏛ l=VG0;K,U_gt첵CqMSl>;4k>ѡnf2?AYך"x.0/ p%4>}~ӣJ&JϛnM/~j_nO)pR=D7:/ѵUHz&9~G[v؏A}%a$lF }zo=2)߲>S5Iqdqm &p6Dz^7t5Ef^_[I̗Mɗ,EmUЎۖ'J X>Mv:xz'dEj#~iow>B̊zʄfo!Y[ /8]ffrnKGn bEɜg$ _LO ,pU@ R43~65zI<%v~&N%6 G?f~}s)̜ 1V%da~nw ѩn49yk2~\<쀐uQ`IھX]>ؐ3cf@IDAT42}sO1{Y2U{^|e9hFҭ0B/WɧJGQ`)QI61S` ܡC`{]~>2 g[S}'ً.`O0I0ɟNlh3+G4ყ쌤*w@0=px8"\ttMGܯx 0bt}o}VbTh0NuNn$sT8.P'P|NVTcd c8.U)MTN z!@\z V;2 qD!DlU| L?cdLTS^1? 7YLg%uj[]mf00z_MhIZIcw}=qj,sd~I$Lp+ ha>ਖ਼:]U3Huk \*p(te&hl1/|ؔ(~,ﱑq: N|3YoTW6 %:}e؛s}i=)9[G+M'{0ZvAe3#d%'R8_.̋ZJ/@SXY dӯYp߫9ƌf]n]Q6ղo+ꛞR9Psm^kXGܜe9"P 6:eOKC_.`ɰ O<[ ~isK%V(2) g|I{. /%<= Im>0XnZp);두|2}AD.zヨG7 6>L^P%~ 6f =slSieP͆.P({`06Kדͭ8oLJl?+ '%h9 Ӿps4Fzt]#cPp/6; %rsenߦђYmawdٯZxNvfSuc3ɵNB ̻ N! DKk%xnnvHжS(9L&#<&w=mt1J<u6spA7KSh*^`y\;~%S8gu^UD|_̣eC;:G L6;Rd F|_k.EKq}pzĈ$/O82ZOѲ~) ]R XVS1'"][;Ńuà馉 S:"& tU@ǁpԗV:i˥_v/ߥ(xbیhɘ=bŌGQc4x=KJ =]Y4m<V#&g _51Iu&v5VS5s B lFSi;>l6^ñ hژ23Ǝ_U>L[ϘW0, Y0h+XN{w-t=d~O+e/R͡wısYqU^%Xpcn%)̞a,2@{/~`I8[Wn< Ap0t@[&5BS~ Ý'rh`GbK R)^X8]c.y3ermkNZ0Z9fԞBI}@e)~r2CO<dG/d8ln@s49G9ѓ`t(=BF Q^ӿ[rJnRq}Y:[60a{|)ReVz/`8 @r1BlK6ybVldQS_{܊f? |M~bk;a t٦gƷg(`f7+~yϲ"8޲~6C} zƄ?7:.8#wASnP$hVgdvd6]|_.vɌdF% U0ѿ {j[+[ F1 _TY9MD~u=MnHu,X1:;hu3A I>Y 4Y>}W9}dQR];`B!?yawMD_jDQ:.ncU]`ɀcu}c1΃dsZ=/ߎ OIP25hb?I jPmTt0jc׵܀qə V}?J8 ETXKn'xp>^/`ހ[: v9r Kx8nP5 x6VZmO-]^dʃ{,x7b6G2i&Fb=m|3Ījl`z+~ Y:*_Yw2O3ɟ/F} :]>jwߞ0%Xn烻y^ѫ?vh+͘st:TF =۞d W l_6"M}O HLDGrZ¯(!JI? ʯpE{k=#;dpቶwOy;A'} 8m٩ْylt9yķ|D=~`9}J7_1͚GINj  zsK@8hV21{9r8/ol ՞%@MVR8&'#Bh("f׆R_r&@}7@}L рQAGibSC+?t(( Po\A2Hŭ<0Y-{:q5(5c<>  Vd}Ⱦ^u.׎зpɮX/c@ YEG- 3\(?p9Ʒ*[I<{(uqN /#1ҕC'FaK49` d\"~p;M(QsԮ0;5Y~NyD1Nɵ]]v*ٮWgeE3 ̑SϹ $j`me }!K JiB2Uʀa9ܾo&z-oL͈ej!s,,yX[bߌdUqgw8tU۴9mvMr D*IF%7#_Ll %׻U=$nh@^ył yԧ'\FopZu#Rhk]g][~usN&GSCN#fcV:y=Un4mAh6F$[6qKm` G%3^!l6@bgI7wP O/9),!_5q:o[oG+XgÃiwQڤSvvO9F$f۫Swd]BNJxj~yr9!cs fcFҏ:]oS!b urG uV}Xq[@M~~ztxjoh{^f|~ );Z=v=qKu͐YN_696`۾uK<*SRpr.u<_ AD?-Ip7n+|+:,En*PlED2Od'=uYMX(ЕZf#`vHJ4@,z4Fomr?-J+EhU,% t𳳷?FQt |> _A L!(`v}ዙ5ڨZmw0ȟJpu;r8)S+kk'*'$:l]YGM~ EOPdMJv]N;|ytbpwIi}Ngt~ĀMmS&Vg oeK$$6?yF>xUh>:_+Z9A}٧faCG'xTG=2L6n& XCZG'Y<5ް]ߣ]:tc<~bd>%jXs> 17@}%C%ud΁1wk+-B.7$^:?&KVLll1.8U1=V[b6y)d<3w? 0N' c>/ р*j_lJlC9Ndq,bĝ61pn:lKP(d\A5"  [~C+GۖԏA r2di@+8_?Gb`R Pf鞝|BrI'l5qFyㄭ6g0|όVWZe )LI 50m>VoGel]Y hj,]{:P3@sh]M :2+ame&`pk%4B5R;#g)90`Ė-o a?^,3ahz[=|gX~{L3zЦWd (:_nyZߒ9 (;9Aޞ͍$f'2Yxxs00&< ^s<;-gD^3RhʹEWݟ]ڻ<^'G/_.5y"G6KA jOo`ϼWM3pd+s۪zi+{ip2ɹ m5VUMɞ~Z(ϳf 0 Cc9Xapw~errPΑIrrV$5; p{ړ\)%6yNu=VG-{wm>~}>=Pm%}nG:$pG\溺dm{\X' SK0' LQ|tǫ;?Zf /CRZ2$".q&S_8BK++CдOꛘYoH$w~9x.P{8ؐ{ c\Qm+58Y u )_wk?@i0)DgeVP@YA,xO{f-bdP[ޅYBo[ug V.Tj,^[xŦey3?{T?6EŽ& j>":z+m3!ˎ1G2A?աAŖkD;3&Vw룢՘ӏ.'oX_w~.x+$L6C&2N_xZ@VK2&z C/J~^tࠊ[nD ]75tݮZiν&:͡1`L+$vSd?JB|T$ $ r} X1# U!('gDNtZ?W#b3ͷ&u)~.a"'r,=x>\0~+OF .v0'_aݨl#0>0])#*wqrZrgYUaeV▔ 3%NfM {C\؅8 }%Qn5PmxTZu+݈˳\HeWb034NV`T/:+;K ΁)"Bsc\?+m_!3b0(>X5}ώ#Bkc 3@R 73c|!.МcXpOlv ctF,9Li(ф0o me)3!}UD2m1 : X%?&)i|R$LsZݟ[hp_ghA׵uZc- $)B0P0_1'lfJ#$ %j9hEE(X^_c;lY'E_%RT\cmT$wR}pRrZq ֢QsMO~3 /~fp"ʟim@ fl۔]ß=i3:*7  I}TN'IcQloON=/ uΑr}b#yGSPV7yFW U'oxy5xqYUcNOɟO>s*pl#{sғs|tNQS2& "N|fA[os1obyA9xYE_P{F|ݷ>}K]=j@f ث! atSpo~?Hxdm4yƷ?? lP~ȀW(rO}P%u1"h |z֮QwWo%K~&w\vd@-M'@6xL䞍oϦvY{I803@ٔ1۫'V'YaGpE}%eVx~ʴ@\oc6Օz̿oo[gfnI|lrrldɸߌrvUB C=d!6Oy_M&|瑑xnl2viЬPJ$lϯ&ٳtXY'tfv&|>96ߓ%  4v[F [4$Rz4Yr5I_|q;&;{a'.8DIJ6Nd?Ppa*x%e -M&f5/m.wyxxyCj&C 7ijϨwqáĎ;["S,X{* `M"W=Q+\9V0>i-Jg_[䃽T83Z'V =Z0Xղ >CwvtmwUW>x#ԆhLJ,q\&OG}+p'pJ& -o9*&P_?o1;U-p+n\a+ 3XFdI|Ljv Wutw4ṭmn @)|7/Q7啣U6W%ށgo?m'YplAwg='$Xnc#2yl9IZF+f$9K  .m^+ 0:Qʮ|6ީ-Ӕs'73iFSvs͗ )o̘23 A(_bgQg wƀBk=8ɌʆLW6bsΟ5[I9v%(?ǣ8[JG13s9)BWJ3=Lb@\qL ~'(w²`v:r3Hg S;iO4Y**Cٳ{+^r95(q b&#pdbA%TV 0JF<nUQj?983Cޝ`N&5d%J]60K*}֐ w#ڳm`E/Jn35`+A\~x6O (Le+#,5}V$j'xãXYI'B:ު]P4^](pˠZYUA x=Z6!92Ĩp{xr>> hdYYvZ*¨D`70Ow $Ǐ`dU"4t8|dA] ]2=p8/'ԝme [R]KP5V%j|ʴ-qM:}W-}*S?D4= VT-o#g%0N9"^){K67ݰջV}i7okfO}:Y}}hG3x[D_C!Zh ⓱w ]-鵉!;=>$q+dj`#a0K޴cSx,f~TP—|8ؤPu3&]5{)31Pmvq@g}dO z m{ G[MQ%̆I0q–d趷ăcsdZ]<:lk׳\ዛWA@c@ɘS diDzwtm`t}lp|ne93j;EG/6_wѶ;-]wgmE8y|ANPG ³9ȶbի~Z9m4/r[ @J,>{vA}|v/;{6>fQLK%_Dxu)br߬̔((94SC9lmq_ a/l}E|k$Ggvc~܉‹\fVG3Y,7@NV!xVmDOoxʭu_VWZkf&I_nd,y1A#vV^t7{#W{H%8cpanMߺx!yF@OЕv*Ov!tm>w>ˎ- \Ys{⳻$K}jM pQ|_V!c=_',Kb:TpC@woM&0O+tgxll/n<^pߒ G?sk_gwJ4=A6Je듬/Ir kwo>ء+bph}qܽ ev mVv}ƌS- gRQkh}1C1҉\0'eB~6@HIڨlpdNFI` ^FCyQ~xY9.E[wʲK.8*]TXs$٘9o@sBQ'f cvjth~^mL+@Goqh,d*G?p6CTJ K[Úh J^duEQ@V.!|o3,sgtt$?"G"7(O  R*dCQ3<ڱ L ?'j ,:Dj6.3Q;sk.Hn~ZQ9YI( ~}ᑁC83>UqTn& o}W]D"^=Z4d?,ћ&ctQ_4xneD2J;vġi9KOSkpVu;Hp1ƜC- wጬ:,:X7ϢOؠ, t_&eX{]`;dҭSDc~·:XHad:r[}ڣso߼ p 7C1~?eDϟ%%>_]M}zG$( =mlύ7kC0mi5 |voϻ:YfZ+_kdn[Q\= ާ/z Iye{)[安7f7{S{:ŪM,haV"hwCsO:ۀ?Sn+;f|وTOOv1Cr9@dY2u9I`cO @ߝoܵWDo,nG/8Ǐ "Rzhl>؇ `k]Mxk73W^$|Hh,wU{n mÈ}vJa*wb뛽$[63jl r ߵ$ {TyqlWg <Oզ{ _o|?Izd^VT! ^9-FJVӇ%?펛Cda7H·p/f7KTfkh6 ^ ;dK=qfEEq}r VɂߊGwxBԀ=vYI3Vyd,?{@hm~y\ 4>DzYua7o{ Kb\FK;MҌ}X%O3e1,QpGѕcw%~AlƓO3ll >oU6y;Y20.v~9bSvQE0I}Ia!o5ћ蛞z =}\l"9lMe/ې\t}^Փl}Н'E'j7b /C0]_xZ}FD?Ww{BQik8~ԄU7DϳrUbB nhQKt?gv-':alȵWkKh`*/$PK_z;W^IaeE<3u; X2ɧ͈JK$8JȀ΋Qҿ$F[59Dxl.mw.VtȎaxqgWUlc>'jߜN{rXUgx,|Z}_}h^22[LMCp@״N;uW3*v,΋`p%0 KJ*OU^ܩ FӞ軲R}H9qT,A`%\}0Ԯ߭6FrN+ G瘳EWMƌhCJ :o-;*f} `"6;  )ZZRf 2]4XҀHxT=V0Rp^?ñ-# hKogJ :#X-ϺHt^hM2$h ^h0Q#|(=NdPmldNGd-!t K<ڱh:yb6ByRkzEfdmLSyD&]-38Kp5< rGIrbkm3@}m?vV&}80:&4EGwv8K0mF%dBntvO4O?Qp gjwI9vZjk'QVK Zlwf#G '7ٽ$70Iff+{3܀b z%޷իW nΠ%`Y!`7ImÛYn - @N;9 O@IDATh~wmZut2=>~1sfɘAl,~ǫǫߞ%{?V%]K:xlFWpYɗC墒tlC|xR٢KP'Y`'4@Ʃ?:o\MXkm|x삻49K߯^??9TgY6wkHnͫKՖrL-*. |k|_aRV [updKdrykʋ٬?Cn2 CϘ.@Fm?xZO5ֽ ϾBr^O%"vm5T %Jzgwȹ^OjO 0J~hk7LӨpLS߻PGٓUI P1bb:-h%z'L4h#; c7K872|-OGrM6U-0@|JaN tlpٷc1j ~^-o~xY?ןC(B[}4g3Qh}2꼀T[~\qUĠ vm(%ތ&%W6z#d#=$h@M-p#`Ǭ9$9KЅkB[FÔ$GB,k0ȑ)מ}4G V:Le_=l=I[90g|21$\YzǗ3HL.;_v=lI<7;Hy\ۼ"VxʳGA֝_͐,2O _ۭ, ԯZ^3/I,&*6ҮwFLZÐ 3tsiw^_eJ6d3a67 3`5;8GmCUΎ<¡v3K.U6|t}`?V& b+ݾj]py=pqֻul>++<Ǿ2AC >mnF%'ug96kf~lEKW^6nI{X^g D$?T}Lf_$ZYYayrMqMJڔ~ gςn`+x]a A`/@ ֓fKo?\/ ~0<_vx>Kϻ-fId㛒"oPО]M^ Jq!6%}xNlEL Q#ө7}2#=W`F Ee%۷ 8y,'yn27/Kv HzDgٝ%>F~˿QMF-no1Byƙ|{.=?,ӵ*ÆIo-ێ_E?mւ =؅zLy:qVBv 'Y@F' l3⽊1(Y.tN7UᘭtH`0Y¹x>;uz0v*&|blu+xʣDwb nWI b=y࿞5%7g^Yi6x X+T+3j0+\.i28]fΒ+\]&Z1 # B`ɏu} Djh8̓Ib_6ݕf'ɫDfrkS7"Od(?=]W-a2lVYBg?oOu.v3`$]mbze|+pN&ÑC]L']xиB쁞$gnjfsŞ"Xuv?\'w - CV$Fq#&6ߕ5&>|8(-ȘS]5+p{̃"!Ҭ`1jÀ >#Lz6}{$^xWѶ?l|6}jSK8/-WuAH#StWB H0k`S< qUGPYr Fx*HؙL &hÃËp4L94j6Q v}Aq vc.Ũ? k|FSGMyۚmWv,YYb$C[z;-ߌ{d$И(a}dw?&s^tc{݅y|8.RKİ3kƑ00X(Z'lQS>7jPGOʊ8嘋-hh8QY_ItVH8!E0 Yy}s0l}lW9f~)xFmQ$^m`afU,zJ>L`=Vx?CWLDj:Y̜slGx~ S< f6a~տ?wO`KGȷ"-yug=o0\?ewo>Ͻi8skFM+olｆ^gi{t$ͤ//O?~xym߄I av*%\gGRb{Gɾ:zJ?.)f}[;3`tڳxE<Vx !}U o7|3~7鯰'h6 |U ;Kd^?%5(NhQ < rm~ߌ@L#ƛ Uz^cߺY;^ w+;CKS},!I9=dsvAZUuM>$yg1±˦Fm>>s^,y=| Thd@70=g~J֪ώ1 R%SL4Ѣءrx4_}mDCr iU7QڂxD$}dqM =< ~zW R7o_=rCye,N4W.y^A&)zEXT_O1)~-\w+B1&!ULx3lCKo{#UꣳZ X/$!?}#m$;I&z Ia%b9 \ďQ'1lZ' V{&ڣf.JʁĂg+VLJЧ3RtG?[Zݧj%6y}ǎзzPwqp{1s?^S+/S챂[]brMt*JV&١- ߙ]Fg1yIwGzXu-_obQs3q#*:Ggr0) վ?l/3f Xϴ'FVB>mi792Sxd"Qxx, \;>}—d(E,zHLHIyr9\dw+&xxY 'ˮi t,7Uh^]gPG"$P}`"xj,d&gftf,%  v=Psv~7tVD?} S33gAtW$ZU_$8=4 9FV&"N`Y I>h? p{kXc2Ȁ?8\l@ߢś2yWWῂ%=s_2EXbS) ,Co_~ l%I~|x=<_:V.**;^ݻ~9/e{Ml&ߟ[E%^"?yx!Acm#N x[僄IY h& [%` ?қ 7]Au726e n5qٟx`6}[P /{e$pbgW>ܾ>4=$X؈#oV6DžJ>Zqfq>GAVd dMQhu чx]'Ix͠+M Z' ˂x6ߵ?緵Rml0V" ]K@V_!pzta7dOc&Z{# H*]]s?^ ߝϥs"[0Nln˰W^ NI!- wS'Vr§ U'\`;ӄ"n߫NSܾ)|˳D}uw/B>L<Yb7>l[3,8O\_~-?Wu/)0[)fݐcu ,?0hMxLаI_;&h%NjG V`BIm+>DNMG@YGs—;r&&bmWnCl'.$2dFke`HW. ;WhPߘ0Hct@cxzPT;gGp#3X fm9V75?Xl$/yRL,(̌ x0f>YT٥QR3;AhSFէ4,cwƖt:%8(t\ǵ͑ܜM.c *O^e޻^=3 '{Xɜc@-L Hb`=yXg *iP>׾//yZMEHԮmrǙ zG4^R K5}3߄}? -XUڝ* 3jƄ.hcecV64N`72vmo6p/@&6ԧ^Q$5Vs}erqQ @@MA}~4:=rfOӁ J?q 0t.|n'9q:l4]a[X;>7oM5xyYO70Q*<@K}z)6; Y4#;Y]|퓓 R}m^c`Im6kO?@~w?Os?~Gv77Ӏڀrp\ϵ?(7O{Շ$Oj'Vف>DS=>р P:[hp}YK"o4Mdkd={oO[M#@Y1}05k^x}~o~ EW!%q*A3u3dxƉvEʱ=߶m21 Q3ZVd̯w' |KJxϳ`R_}^[-hG<$k%+2S<Px< kz+"IkeC21o PѸzUZu?oDMN0tw8ސ_It:W~4Z{M0O $#K ya;\`ߊn*+\rclŊ~߽ѲW|wΒ6>_*| zt{{5!)ɭ<>jWp^bl>~wk]K͞dk3 /;nj'em<xIw9B E2֠K_ʂ]Bdk@g5VX%l _L`6Km& }nq 7b l{6ݬ]P|PfOmi3_Am%]DY>&zL^; 780PK%ey1(ώml}5mXeUF8`0F#)Qa?xZp@ V;4@c7޵5-#UO,2~T]fk|Т^r^FM`ۿ$Bwi&Ս .wu7a;+tAmx^p'}¡]/i_ _WDu_;X\'WI:8WlooKS1o@: ISJ)[3(5p2b 7x} B4e- :)1 Ep^3F q}3&%9Xꐿڏ&2%RrF  =)FجCp}?8T_RQ߭ľ8M+A] ub,GOd|hmՆzf7u4">#ܧUW` :{S'm:|%K @ZLTd6Ce\H'XИEtrM'3G Gp9_Ֆ@K{Gn/];r'ǧZDo6["ｹ1u6co 6#y€*l]pTOۄv I= 8m`:;a2@׹]\@K[y*ZȪdzͺ<߼}S`f=C??tտ{NcEm7vWr-|t7a{޵*tu}c:vKk'/_,3||:ڵ~zl2mC%[Pr* UscRlģsY zU3~ f/~$T1iC1_[m7 9hUh֛Ȕh(]v\P-+,SO>B6Z|Z%'ZD<6wm OB'Q,a #Z-YĹV1s7%/l*|{N+kl,{QF#^z V)_2_\lkؒV̊`mRwVw0~leĻʱture5\h]',쥼|K* ֵ>{`棿Y k*$4VykC7 `^4G}؇ C&O\|( s}s9>N^{ ẁW}jy#7yYt'/s~ŀ4K ^IVB| p~c{VtC|!!%EfС.֮ 4GݗX[:&+kYe>5e%YW,coMOolM4RތA{wn^ &'ml/#U<t/P8.Nw{t]btŕ _$3tѪ!|J:# chՏh7`xh@uÿ)ޒɉP8~VVݾпoM^}h9'B8GFtcc+? 2O( X7{oo:vпT* yN_:3xHz@v}T᣻g9Ca:g!^xOp-.GڙF 'ߥ]n!yS?`gbB7l{(ׁ.%W3[?gOj`1Hkdc# gz0@;K[ zlɾ˧OM4NC*jsubnhէMʷ-Yj>W&!>,׾ t5Ӂ)Iͨ%˙C0fOQ!aM`k-xB:e fM9 lpܧ[KjKS88wBn၆~JڵL ?N6TvTh\ r$ FWL8Y-ŃޔoiȜx@=Fe-sr[:@a7qr3 ;|.PhtUrASW9Z(tՎ-f\NQy{sB|M~dxZO./ }EVhb+;/휋}W{ G{>F#wX6p8ņiC g@xLn9N njj{Cfz!b*)R|9A[$>gc2;Gt[o'nMjЅˇ3q[9 T29RX3<$We}+obx NSqz陙PIv Nv:$jjv/e&qwEql>dXɶ`1~U(#USp]dj^`wU@Rȴ?͒}/ihu(uNrrL׼%ì mO}7F@`$;?9L ~/@MK9f. 5Cf ^~=ɏDŇn: ]|V^B(KR'HDB+)$OnKQW=%u$wi0ZbFIZt)op8v:QuX*@>ـAbjb>ɵyqb1*˪\k.LS'>G)ٯ\~6A b UKx}lDDxӓxeڴdٛ,!TF䷉ͮVȚ: jQcd=AoXcK߻tneYKE6)W1[&X|ڭ7I9ћ1<! to z2++QE`*]ڻALW$`@o_ӵltɅ EH$k$rV+q{D{wG{BFI u X 'ۣ5H$n(n{7+j]w~XBsAxW8npЁsFIvVv.B1x޴^]TlƎ0^賸.OYIT0ѐ=}]v`W_x},]rߒ)Kag;D+v22̅h=qI Ѐk_a}sU]qwA I? ٥3Ę:g"SYkR#h,):~V+0qe5<@:{ Iz מ_093cUA1=>J fE!Mk ؔ_$9K|ytc/pxQOxUgtFT [pvsܕLe^όjkRG{B2{M7ؾڛ\5ɍ t0: .ONӎ2L:@ ţԥOvq%Rc&L`;t?>TnwsVl؞kG)f1z  ,kE ɴ揤׵dU5ι:P/O kmz~ =Ns|^˂|Qx7 3[ fh|HX0}`[.c|n0tfZ:U|X鼵mv3y 0Y/w- HTxp%<8$RLy¡:n9N}8Y҆8Pp}ߔr(-۔tv]|Gų'5@Ϟ6_t"9 –ޖxN՗s`48םTͽ51`7Y$y|^lݲ{6O5}+(O>7^RZIKAImXn>NPc?GqXd'L/_<nCm (GoT|xǗ=b[YsxWί3ߒY` VE  2CnzI=MwFKbع=115XG2x|';VԞتj+Yk|ľz6`Wx%V`[!DnR + 27藸5=VG5} *ከWL7z"v݃!pe{EI.]RY}s_g@wBWfKa8uj#cUzi&.J0G07x7/n"Fʬ5}t$>PJS.[ŷXoq#d`m$3}&z G)TX]HhJOE񔲓]=In)2oZu1b,@^̀ c:Ԑ/1 藙OIJ1tvW/.:ŠS?γ Թ5>bԤ@IDAT k᤬ì{xf٫>:EKL'$Cx2yb^tZ?_ B3LFNqGKvu La$nY?}T6F$VqP]a'7^1:`.aC:dFRoIWoEbzCN桬aujW1R8v6quv|`uc8} wN¥&lXD%m l6~YCUAƿ@lK|d0187it^p7Ahu+ѿa 8qu <ƇL,(p odYA[n(id9/\pa[Df9u܌m.=̢*s ۿér~ջ 9g,ЈI/IiJEthb><Ӂr<.pOt^orY t^5[>y9O $MηV룷KtUvg$l8^k*.`0veQ o>Q--/Uh%+pbmv~L˲\nIUANub@EU5UCɳi֏7!䬤9 N1,0ydS mUxu] !G7=>gݏ˙P\F{z# f z(Yn)~v3HMޙiߞ.Kحߕ0@hQv!ga3 }O(x}+%\|şS@m_trȖ ޏr`/PKۃ{v۠LȗLzr$]zqu?rJp+z~ RN8iM{@lVf`Mnfx2‹/ZaZ%w 6[Ox?fϯ^Ym3VB[7NltY,ӞtsSHzÃ47j%)0(RꞰ hF>Kmx:o}[9|4%13y %å]Z _rP}b 8)R:|AŒ&)XNl7lv pټ,$f_݋om(^(E'MNVvL2B\[ ǘ"_l:|ѷab;(hH6^b\ͶI:3;YŚ4g0՟&{аf?w^]& \!l?cR{3]NtIwO2Av>[ FZ苶k<}Ԩ~~+ p7y.NpXOd(aLw*7Ԑ8R>`Y ; Se&V.]mي ]|B-"X}5ʻStD@=Zn:p]0u5q$2!cZ/ِe{mNj|1!ۋ ke- \r "v'!3Ȃ;e_TPd)Yc#1@9`0 Y<'h/) x[jy cc/~ U*w}?8DA =:+'T0z95\n ч`G2gL. xl@cY4:Ēzq| 5ak};,36..dK¦[Z[<8dz8'CԱᅶpE+ )CV 8ٱЮM֖iY6p2t{AQg]OOd`)XwLq| `P%j>H_}_`uH-rfg)?P<] hXē\ΗvkKLB+E .Ad̺$ <צ}7$ [6sm;M>)Gj[Zkߒl?xoY/^0\ v'^}j/K`i@-&:6e ?G3Rm3y[\ ^r=+YZ:Om ?MZVj;SmVak=:pУEN[z|S%n%1jl_㏛^xyy[H"#DG?J _)_ڹ Y/SۯjAqdz- RB=!X87+ﴔ Km$-')|~2w+s7'9EP2uѲ-_ʫ PkgN婼>ϲ잀6dfm? ذ2msmNװ]/hԘN-CÇB@h)1״7GodCg 7z5~yI"0'g"R EbKB6ƚ=Z?{M!9cڪ.8>-"OT>*ph~$uĨ~V_ dwN<.Tt{M|_BWbMU5JpV*z kbVx׍%@O7#^n.̀58}L:<dK[ƿ'LT&kvcM6QʐIb1!лKҸ)࿓`Cg:3@c,ΝW创:_A<C|_aY*NY+ jڴ~aDe  Ce\C@ r6@ƿYjzNIuu;xpѨ=n.3S(b:œZd8Ÿ3^āZ+ 0pgIqڸ0ewܢxH@훼+`IC@tN"-5 UG. wml`hhpMrmKbzXaP #x0ЬTuKO9ă97Ŀ,mu/nobtTok$F 97spNkNq |[ZD'Z/ N9BƙĂQ!dEHN{#QXmq=ݒNhk>o (l0[gcl_e_2%6߀-A>c  6 >4XlItsLkN'A_QgŮ;n+)%hm%cO  r<3K <~?|c{Uk|s/Ȼ]. Se7D|JffJx |Eh%͸SӸL\yᣳ:N8;[\5#m-˗(_~`3T<ܶ}GK7C?HxJ$`PWPB £,ϓ%oП|}WQg3yh* ^_m0G~:J w'?c-6X-RAܗ͈[5q[6*!8-Fr|Qm 3l0H'Lᚤٞn~GK(ϓtϼk\uzS`W|LWsW- `-t+<9=!$ieA;`V(GWCu1 oӵj1 |QrJ g*iyI?>Ud|twfwSe%ѹFƃ땯nOt8r4j|<|p+O5H] RPW ݂6'JՅ}n LdW+OuOZY3n\']mUJۈ]_CҵJ C+lmFd<=` xg0'5+P{qgC5HN>^ eI ``VwHmuCB#%9R:<- U/Q ,:L.L{\au D:5ݫxQ9{k2}xoVn o1u6:X {f<2؍vr T_LK,;c.@gu>Sw3xhQ q|pk3dKiw xg.Hf: 6צ !'y`갠,X!/hIQ%YrAaS٣o vrK+5ghf bTJ.ep_M =I_7 ~6OC?wwA*A%CȠ.^x;O/^h%6{-F*uIaNfx&]lo _uˋ;P^睖?o}u/>|V>P }:H"^+ϿDx {L ?SL N 9 D$/f_WI_wYԆYjӤ|h)AVNN:)}; HL7;gdD3[՞ lXͨBO9}r[qR?.L;QmI, , (hZJDbmk~;[ O ԝ@?r΀ۦmys۪N#YvY7oYR/؊t_\Ɵ%|,P]Cuج"|W$hI%z[c%|mmNP?RMe?m|y}2DC .YN2z⽋O@<( jnNjW֦w7+NαWo\ ڔק*SVw:>lxkxXLK-ufɁ3_|GCoO\Q1 |=W֤m6L6}*M#G '6|1XʿnmHT^` kݔ Rb}t8v _F >I,Ngp۟hW"+{iV-<ԗ߸$X _eqqae#UXcUDLIr S> ģb%^k+ǧH-a [4MlU~F6v ;TשҢ$¯_"[t/ .;n1ė*[2~n7fo}]:*ct[)|.^$I/OF3 j|&_0kn1aߎdM -*S#󫵳ned$%=%CFZz/Oh `:9Gw?\x1$]O ۴%T}UFuΐAmHW?8*X;цfis1P2dd,k*Q n]u.Bj"-'5v!p6cX)b$=`Bp+0gв8vvB;{'?t4DcQh4<:K`#$,OIRΉw[-Tx9}ܔϾ` N3y<;! T~#0КBռ۞uN~xg m)s7cIv{ synx/Kf8QU:f)eDŽnG麛$l/aӉ=kk 9Y"SͣWQYPpp؀ӭ]bV=ȖoTڥYp&C_0&Nӭ%>kܣ8q\JJlΙwI8[L% !UO J‡獋xv j*bHwHXM: lN{[h^cx`d.+zu }~ktYv(9+'1.Zd[]{ֹ52tg8;S,17=u]gxO~HUgG/+kfQ@/kZ}*W) jO^]u}Z*=fS}흮o/%ƟGe_^?~Z;[)VK˶84sm/\zI3l--dȻfFJgm0欃-bSғ{tϖQYb t:|LPvGtsG$,`BU`lv.r ?l ߵwNj_^tv }}֝WK2ˮ?W?a?mUí,kdHz '~x_u?8yY`;tC޼m~O_j燒t9%mëf $xc6{XR].$ wP0ɏMV"x?yV%m,wd)˩% V%ŞML [)v@}oجDxO$:vD)M':L|Xx~ɣVTv}|8HkEmphfTr XS+)W` A>v_^U̮m@9Wf<9dYdmgo%"mIw:IcdzXyx[]E0 oO~i ZlkCt*&: Q~q:M^&zߧ[)'ʊ#B2r_­>f 2xзM$zvJ{pX_7|>E>B妽ob PX>*Vc#uUugr\s'쮌7+CW*W.Cu$E딦7~%Wo,~DK >*}K0 FC'3 Տ/2o&'$è>{ŭDmql%"b7>wL(W _7[M7bH(-P̖ZEOvy=khƲsBzgC' tllm:0. B{Q;bN/n{J׆Lg2J~|ށVXOkqx+7/-#п Z5K<[!! w uP *ʡYj6@D1-?J!1(2dr&bDbiYHGy3آxl f&| toAÃ۪[=Yu6W/3J~C a4.8Γ39ɵϔ=ѡ_Jc9ul5D' qil}3+ ;3yfb)&dQ@%{`[% uJf#ѝg2Xq}@Zkr3#}D8Mn{]sBd8=6|T8C_}_gU+aW nVX2,AD/A)C`6N_ݗo,09]tG3<oN;M(gYޞ$@{ޱxE~B祃 #)cdda`Yկ? t]0.MI7Zt~.68\"82l~6x^f엀cG!gSn V^j Ϭsh:Pk۝7]ǟ;E_?tVȘí%anw+Q>u3E R7KifguP" pÓ @ޗ %sՏ6(jjm#-/sU,Oy[8s.$a$?>GA\x:^O2s:XIf Mw 9]ί^ӽ&CĞ̒[MaVS3V} W/gʋ 1pE+l)?hbW[OeKHg߇O?9ZЧoo[月xF<,TrݪdWO$zzD݊,>$>[W]<|ԣc/%x%C$QQ?1/{wg*mrdvg\?I7&ѻ5yxGzaϵϭz58^86aDNx\x/x_cu-V︆.M8B~gx]-.a7lHluy8=LşmoG,{`ۤ6 y8YADȿ Ma9UA$N%`'z '藃ѷ?gխ vڊu#t}ubW$'6p@r3!n5e AL\ 2 $2%>*+|Q.;>5vRnّV&!8 u_ߏ?ʱp ,f D#/-ap_ބVzaRM&]NKD&?͗ic+g}^(}4n/tWJ$ۯ_Ƀxm/ﭺ?1r˶xf5R'3AĈ  I,6pP7Za&  8du K\>0Ʊd!R~Sp ;$e:B tZ2.skYʬcJX\ = \ѣ^$ׯF_CSCSV w.,@wvk|yJRQV1z$`&܂ !o2gW Nx$I˧=ޘhƳh>U&YqnQ|':*r_`/~xYI`N역,ZaQw:@IZ\o}S?NGPkwK ;%ɘs("H:HpNL8>4jY Hƒl{B2K?nt`fĬ{- S~C0xdnV ^8(6w6YOf91>A`$@7 ltKdC%-'rx@$ $IȯWnyvjzb6~6~85yvSuɆ Y>?ջ=z8o}6t8 `:}'鐼-n?L|z=>ՌxWR dPi=<V{_5[jPlFǴ=xP"A?^نT .<~4|_@3C= <߭M~~i K<E W˸-3xù,IOg{:>y^PAZb/e_D>?6^]]|ӣwmIEp-̻cf ۖ3"Vxv4^ޣ o݊i/HafjRV77nUv˱ŝ?AY r&\ (1yz1˜d], 6u2t=<^>_2fSف~<%jI& @!$KaF/%dȇC|;3KN*=,YIڂ6=1Dq6Ǵ65~cϮ)tkr=iƉbp! \"V&<:O>bC ~/NEYxT"~mH.^h5-MlU}c`"< )Qژͮ^E%7wW{B^%Z`Z9EtW*i=mk|=fϕhӷa#ԟ^C4ict;2$[vhJ6`<û8u\8/%pmv@L3X ,0=kI+ kX-仭+ZxNSw-~\|s傏W,"F ^h$g"8<\s<ᙏ5)Mgmy\@b,QFlC#䮟v\~j3d R4@lx4 :Z>)8K M[ܬ™.vJJ/ c )<&m} 2ʪV-o<{sd̎vFJxEdOOoEo7Ψ ~BNR}>x΃(C2_z-Vۍ)j[-ѳM&uK|~q'r|cG t*Pϯ Ncp꥟;舫X%˶P-y*vg2]ĭ0`l$u,}ң㮬B@C@1Pptg`9Cͧ}B,X Ce^] ="bd+'dT]fmB40AIp2 `o89aÂOe,}$ dL[

}xJws̾C6,|aPKO0x%].޴TAfr6iϭzx,ɆE؟Yܷ^l83;]##XW O/?63; ϞW7%̋9e2yːPw@IrX`/ rZbqp'?-)Y!QfPW>|x ږnU;U`5}S ٣V҆kOr;}s!caOHr!/CMtx, 4&'%ɯz2mj %ך 멼*_b\ЉDE;`dKTOu-n܃_'/TF-xπ$"X7RFp wtd}|+wjQsd5 [Eؽms俘F&c(s݊[Vù*s]^~<@Wo`z;jel{ . 6~%۾ kvx1$KD=}றYCөFݟ 3Ac bkrۭh=P=/bC:h܎_BYl߳8F [8M2RCw+b ++L,40TolocDvt-xtm@]rpi=E[BF=}c7薈>FB:64.8t=pܒ!MxAV'0m|p <̌[~,Z.|?q5goq5a;*:>٩ 1^uw4rfS x19t{cyѓ`a1jI }e'YK0ѝjԱ/0Itls}%oTW˼wW%hs]xMmm!ZS-tQX磳3.:~''F|ZCʓ%5(Q@h o!:9a~ ?z&Ӈ!izIijvХ9G,? -ᚻ %8.:1ߜ=f6w(ۍ_~6ޒ:sJ#]RW1;8t f8DK<)74A!s=BFlH?ڒz񀟠|w^ 3N/LLDH.t:5c(}٘ߴQ Fᶭ,3#.ISB>,Cm֩ʶ_ 2H ,}vM]]A.j,m:~D/޼ÖēU^%)'/\O7kJ_i3Lٙ=fw?}޺ x%xǔ0ǫ;Do贊9tk念̽3n/{lJm'\^<{/_Ç_۲W2S?۷wqtƒxDk[ɔ_wC;BD@ k@IDAT1#݉-79S? ڻY>he+A6co2?IfMZ'M^tIz+)n|g ;j߲b̏8̠d'1P['^[ۢ֬mPvOWㅦ R݃m2 &kUD %ȮMxgxn}-OZj)ozx^k[{+VX4'v7Fkb/{,%?=}j峘(A>.QO׾ ^ާ5Wʞ23nHJ[vjQBkx*ǘϏ=Zw噎\~y$ >; ɡ{r]T2'tsӾk%z]tp淢'11Vw}@H4im& K fȗN2H7YtB݄;]k]B~߱w\}&!eKj&p^]{| X9*[=v-䮪yE[HC&l zڿh ~&ZȵZ,[[ ce]ębIozZ-z72`2;Fkx+S:'NUAŕӃ -i5~Mrٵn{dS է?xɇ^&es#.JY[ dckJ58ׂj?#fޥDNe>m\cy.t~D́_>9&QMFzDob,'>K@8p ߠ3׬:]EQߕ2'} ހ>SmB )}ҡVD8fI~"ФfOoOb{.'Tr;퓅{ cAYA(%w N wH@fѐėK]{QP yoU&"ƊE˔VGh3#1Ā ~LX X{|ɿ6H:73i0r;⡺Xu0G5eA-,6ݾoX.AS&-DƵ9cg ͠ґ2nj\w8L+l2}U~}]{z|O%fs9Vr4PUfP +wB(Uށq%N翴?7idʿ+>ꐿ\J6ݻO|x 8n0t qNP u(A=-p!:@, ͷT|L~dj;f4o? 'ۗΧ=G`dAWľi ==Z?,s8\G|7 w/^~⛧O.Y3ۯ9;=}A?>{úJ?%=1MmNL0yʌwJX i^\yъ Gl0Gbn>ߖ+TAF$wItOPo.dNOӬTV1‘>i]~URA0UiOvXq $rbo:Ptf5~UDC{Z@a 8d6ȓC3^@r/y m/?''עn5aum /Yv4y_P-8te Dpm;*-j}ɆO{9 'WQLKE ֖Qė^ɮEC6KyuΧvY5dFf 7 lqxr +[ࣶ]?]?ULR^M)Vk-H_@kv nPV9/ԏ{O G7HzG${ȚSK"75e;F|Jw7.Տ ?T_Y^gz7: 0/lY1?;=zq~>cv\%c_yl|`kZnY嬙{wvC ~@$_Oo(1ʢ@*=>%eØ32ӼUѾX;+ݝjC8*ȞzKW4v?v{o]g1} ¹37ޑ4p9= 4wAX U>{Ac љ[_Ųeĝ(C/gJ 4F}IWG%a8N}4{ޣ1kLOywv!giýѿ;[) @V$\*C8G8Kg&fKi(z>,,.3aԐR-9nb|Us: >lB)!_x1⛍I9d8R⃱|jn3 ˈƫ3뷤„,SuelZ~X/`%\zEZgFBx-ZA3>g4C{]A[4z<̖n4' ڞ҆;tbEm\֬5i̩U3ЋCe,uJ;:p_ڿӿ^8QJ%b 7]wU6Q,ݖ )ONlriNGФCtnOn AN8_$;Fkh}~pA1gt+ݺu oͦg5ϑe5 ጢ# Fastd[j[L8P|_P V\o'@Be6Lg\ȣtl \+  xty6X˾\^m%!zL: XdV=9 Ǐ n5Hzkп-Nnj렯޷= %^=5n`m-׶B43|>uxuNop)zvpi@%ao?\~,m$&KBio/g6&ue/zS*j^.J|]ſVy|(߂|>8ܪ_/+IV^ѩXrO~0ݴ}m~ֲ{wۡn!0_&w%mQbnd`9* cM흎~n/2inrk/;/?g-o~mIlt6]%/.~&/'᳓O/[_v; |;P2_^tB:!ϜPRt: }*+򡷞bGa|_cO6=h; %|4r[1EGv7Dڊ&xv},?N%γȿYm`Gf*G8x% O/W^8W6SG+Dv O[hГhfT GOI+ZVw'v QpL{G*+VM1,>+4aͿ%2 >I2y0w*|(<2WUti N c4 n ֵ%)4jCKV&Cѩ1 [ ~gPZx6@Ik6ÏMK.xM3i<ŗ*ĿٵqYOg Mn+=m[ ^ɕ=+/?+pUx"Glu5O ߗϛ4 OI!stit]xGus;-&F(⛆`R_IT%*}bu21u&Χ$HIͭ.;;jylN 7a7;"7epcđfH06C|ʋc^p^×\poKQڷlLrg,A@ *:J:4T~k p3$pȼP:]I\}}?+>Y[oe];E>yx0_tʾhb^Vp9-|},ǡY Ҫ{|a30$g 8tilQ0C?]{oz /x{ o7_?kftz^BS]$%O7C7 z!vŭ躘f8#m/ۓ ̄o^<>f`bˑ˶ǟ>"MgV|g? %[?u>{}Ee oգ4Un/8m0jb%o-:Gߴ{|{@vA 2 5P`>^~!\ž+Հ#Vս./&=z 7խNYjKg\V|28OPw$^ǟލt)"r7Z []pɵkN13RhjMa% 9/^l~bu:rҖpsX9%ū5'{->Ñɶ>@v{7C%4Ld_e"0KnKC+l΋?ǧOLoP{t{]t 4gsvz^ӕ$ipٸԇ TşAc%Ed|z,'=$z)$MJ/?KV5F?X1tTYJDX諱еF 1!]Cfhջ:1^݋4N4t٠_C[u8HH# +y  'kN.2Tlk&$gD] 'xSF3G0uG!ܛ~: n ?֙gXUم%Ѯz/npEd*ћ\ }28꺙%Zҫe8 [2y J4='F{zfKilGT 5\ZCX>3lkه ՟Z`oEO;"ov%<^v?> 6|W>cY;d0g">[|tR:w&1:Eݖjk@}Cvʱm 8tE^>w+&ӫ'scV9Du sKE08r@0o_mW_]z/z_OGmhwͦx?,A_}{eȥ2YDύ˒ <8VAFeс^{Rg#)vmhdǶUrgo/=iGs` !tO؍ g6e0v0b+!e֊7;?es:W+^*ie7WyēN9d6U#aq}u+0htAzu4W@~#Q䣙Uec:,ؗ-Bxî:1s7/ĺV3;T{ voDLtЇ`F;4v[H~ֶrU6Ѝ͖15aCuc04."ظ|pX mߓ\R^ 6K}:튆I:25S1EZ7~ W}cY_MܐŨU0}dϭV;#?JpLJfHhL:HΔ,o$l1>naUč3oegJdxieYU Wb4p1*ժ%:˳jmt^JR\ vM ~U%w/)!.6C,'a_j>VPL=pTKL&v:V|S }KhpGS{φZU5{V!9.8}8X봧a&ѵ+®|Ji݋0&#Wm'WK(Nl8NM>X=pѮ`}YM+̸!l''(v4BOzei3ctyU> ݛ~bjVfU%`#ˊ<{ė ȸcSa4T/plm+b YsNh%jIA*5`]7Uh Wp mn½7L}i]V6|dV?ߗ<—h%pVx2a-&% 39'cCфO rWϢl|PbgW'WNO{ZnWnMM< 5G6yP_]m($fy}6rը#RQgxk\՜2b@>R:$hSd_BT֣a2p:~N?O#ҕ̮$#h17%3)ߜ}n:2f%͌K':-  {}*3h®ix6I |Mn":莳 !8 4EaAR Ӷ ([B*`Pdt\L=F|p]FMaJ_#=BmIk(;܂ۂUH8u8f^AbGzIfD0YJXKe\<[f޽TqV <n$tF'0o;r`|EX{Ddz:5#fn"G *~JF[I'k|"Jz8ڏƉt>mGutu*X >f=k[}z77 N45^^nsx|Z18N?EZm7\:$A-~6lN+`W>Wv zWtڧ蓉᳑9&=Ja /ֳ/P@4 嬒ﶲ O R[%Vpye2Ûj0+ج[Nxbs&L7A ^%"O dX-icUfpQ߫`^JJl>cTcs2}F:k |aO4eh9tmƧAtxVӴ=nْn|-yT_z ­3>ya{֬vӽ$3ѯzGmsOo giz 9]-- 7Cf㴆S(7hq^)ٰhkMByawh?ޞ;nfIzC#yXЌ/~ {1~X]ǭpH뿝=1ßv h}w[z5"{jQaBlϝ B`:7+%Gf{%t!r?RYf4;~*7ILxm8o ߵaW *{M+H~ 66ryW߻J ղ Fꉳ,‘WqJg߷k!;)V,@$# ,_p-4h`[?VVV8$Mn}~z2-l}P 7j-+,1ҿddkk&z 7[ʜiX3zc~PMIqi۰+QΓ;*j}VӰA`3Ll\Qu-QG>)VV^w8:WD_H_n{dWel}c5gsAZܻbvLw:dK{8Z*/iuL5n=Bgeeg'V/\'w[xw.ͷ\A;b,ٶhxW4v@zH$Hfl4ؘ5>?c+}<fV2y{RYE=J8bIkyr&J-z3БP϶PõCH3#=╋}Wv;/Ul?}'E~5dPݧXkxjBZBCm_O_r#xz>ةK'=ָ#m N`%cRxK`Jaēt`z-Yzx$TM\R⍥x>\ٱã0Mg)&JX7~}W]5}KFG[-y|YgW}Nx0D[\ \AHj6F~Uh<צ_zmatˀ{>Lx`NHc6b[&' Hz J2aqA'ߠC9!q sj>{lCG)9MQ[s5TM8P:Go:7_+H7d b7nLt U/[j͌+xSWr7ƏIhG Ѓ+]^f!0g:mAwŃ87j,W+Nr*g"N~M4G?Y5Էi&_ QKOákypVs}3dWR}2V6NNqq.͌^ 2AҠd 5[]Lp9Z%`rb.M+ǖ P Uj|\2=}@y,T["Ys՞sGI X`RI/*A-PAO俻I5 H2-bl~ xUx ,y`՛XNo@itkF~Tm9>l zuw~J4IO;#bHv~AOş`>r޲󋟳4]f?^[g.y@ci6Ƀ%YAH-дҠ>&XB}m8,VӯtwscK-{߿mn3;AlS}e NzQ`^JNܸe442]%jj^Wpl~  {XX㰲V4Я9ν[#s$~sKgs67e YLF|ǯhu%;]-@-w۰k"{ׂ_%,# h#Y}sII:VlܱAK7,羥v`ܺ z'~%?K_k30kI&v_?*+k\|>^>Xv8 N4s r*jLFn5{| xs‡O81·3kosx7[cpJOtD3pG?<a}u?U'v? >F].z+x^Oyb;^9C᾽ӵU56^A[`%l Ȣ4ҁd5Yx\?!nl|%n/xO6Ij=R^}&ht]O8vpp1 εFf~<{Wͮ&_4o~"]'䉁/JH~Ƈ~ϏFE|Ki.h!˵}'nx^#p)rN)̵AJ8f$~Cdpj(m7 N)I8HC/DCzL63汁!EQ8<\T' u0^x޿:{BHR+^V@eIڂޝmb~\"!?SݠZporxQ &#o2 Lsgd orx,}?CYӧ<G3Y3-Kxd|Κ eg$`&*lװ@]S3/ӊ;cfu 7#4D.Nm`Fb KjbVr>Y3}`}N]-Q?~ڽNO'ǨM>dk%$a@v'`EK9舶ƫrr- S^;|&C8ǰh8q&}y|4Qq*NVpnk#/BGOZ >fzpf hw[ei#M#gT] `U^_NK3 gPcuxN^tN֗2wfTO*\QK%U϶gdOw ɴ[3,t:=[2@ 0'N@(ZONAg]9[s8Ov'}}ٲy&g˂(cj@OaI:܈%#X6ct-ɴBc >$)uq~ KXmi@_K0|ۉ}ueY(L M悹ׯJ2i2t2/*asVVJLz𥳐?o=z(}/_~ g?}Aķf짂h+BC$?}]:q?ċng2{:j΁z5mo`Ӄ|H; _$EG[rxA7Ml‹_NH066fv[}LzozK(K+|,:25jl$kFc cŐDwȃ sk9|iv^=yݟO[D[Y7x^{_sZV3&U{fUpf/#o4D fB{_+ T3yœ5  D&!D+\Ԗ`l6Yhј}d &a,nhHLj<$qQ} O&nt ~ٽ}< ,*I<`/X֜IR9˄#/B;q.67S?K'&`zyVy3> ywt_$qj\wbtq7@IDATzф~.K[. K &⛕l|AWgtrCi:Qg4 鄞aK?gY'Ιby-ӆ}C ]+K7=,w_Vvsɸ|GK b*>] __׽o~L t*uN 4q=hfّE lMbٰ{f86gp+R%,$$A[Bo{̖|2{/}0KOGO_ B[Z~}wNl_31{K $evS?োoyߖ@;;cnO>>t|WtlUoc=^5`K0; Y}#ӛ^W c',/o:w]7^<[2Yr$܅h.~ÂY f=V3{[fܣɧCkG6x;sZJfZ?O>s̓W=j6̬6yV ÇUBHۧȓ:GCcv/q4b[->lIeOd>kowVwyW>C7SBm aM¡3){NEK$n 80$m=t&WcF&0I|dGF|3=soasJG2$[Q}_ّt,,n ٗw'^ǃ;|,<@ǫ}irٗtlX nЦ>!tTz+؇D6ÖH$Z;Xwvpåqmxq<@Hs5NQppPp%n MhntRt0nضe GGSy+k<_sx+`aޟDߕ _nolsޜ`4ly*ڌEpv Ɯ:='ݫ-L$F >y7 .QqIzX0m <ꔉ>xi/|e;\ l]Z/1Pi%&Z\4S ~!Yn"vx%/c }6+VtNßݣ;ͧ6 Q@$?U-zyv+_:/ptcvhwɣɬ E߽Zׯ<[ذ3,>N؀ׯތV6Y"na$W/DeQEjFNq ;)?z8pͶkuqo{oc<) s[?g2ŋrlKF+9FqM*38Gِ 2kwĝ1?Ot:>F ~ƁIҪKqT1Shd `@ 3 D ˳L2n>Nr$PgJ=m{vxP`PY >}CV wud Xsa<Ԡ. mB33G 9ø,UmuI^Pq1 C$8`Q$$pP&|#gʆ&++4t%>`<%-y3~|^ٛZU9%%sIU=K'nL>,pe)=9YmyBsj}F]'ØЖs9ن:$9H"oj߲b!KTg\W^%rd a!4|2v^J'xAgdJh c ^p zHKO: .\J`-qY=h8q5z~m$W HFupwLOMݪ r/̰g2v*X2ٌ=s&X=٬pֶ ~L8Sx=pON h֯.B+(AHڪ5V XHתG p6Ar Co=<?5ǻ%{^׍fn5;j>deF߾e7 kuO0.\`Q w>-=qϖ3%|8"^C命3G޿ʡ@9iA:<Ϟ`Q̀EXm%ǣCFoݠ%!xת sm _:&{k˫3hfV0!xd7Mjf9|] <+7ʽ'^;@o}k2 w aě-E7f9T矞CxR@?~ /49kZF!yYmH N,jO>[7b0ٗ^Xb'^6<ԡ*ߥӳm-RjWYO:k $,В0^,Ě=.;cu+'hl70cMڽov@ozhSF6VVk IVgGlF+ScCD[vX/AcdO)@rUko$ġɆ$sƜgq+$1;Y?lMhL—3oO&ۊF8y᱁3~N t4n&❕FnVJk$|Gp]PcP ıG/.ݿFQ|o^n"}t;wi>&˷=U}w;|Yq&>b,@oJͬӦg|1d%H`کuʧ6mL >`%X g"o_L'm4NC钾_Țڂ\ep r__RXȸ=C4g=u}0/SpΤېo畾l':#|NLGї|%.mت昽7Tt:%o?( Ch%_2#UW(z 'ϣ{O|CI1Eߥ _I="m,CB1\0@eٕh.֋`vhҫ \Mի6_I :pʯl|hpod蕄coEL蘝]jE-'G{XMZ6CFi+:g*Ky&|g#x3'30s&1 kq@,fٍN~V&Fo9}#? &qׯuĎ#BQ5sX:Ut z34Aٰ͙X23O`/ǜ,3 3eP (JDw ٧~~}h,Zή*uIر~b fw)I`*,a`lp^a2rT]l80}$3 x3Y%Ax1dO[n!_X=|S0\kuhy&9QY7Isc{f:#(heQ׬|zs0YmEU)Kp#|P[&zdF[dObK&|50FyN[u$b3U@73Zg-AuM~z 1X1? ez>M&.pUg<ЧZ^p'LyH'MW `)xfTt(Z(_䤰 _57_/e,T3S= fg7Sed=>KfwK7r̈́AP&'ʹw#}U?O)-}o`.;ͬDAff7#a0nx8#Do 3 އ%ԆEZ@z}Ul3a3Ƿ(:d3%:; &-{,u*>xM?+MiI/ͦVg?ms{C[|dJZo?`&[B^<ʂͷwF6+ ykŋ_껋g՟$K| vnx>[ꓻKr.ޚ< >*eWwC|P>;ݣ쒄J?ӽ ѫ$g#]3^ fU!rˈkګPɫΆDo÷˒tʩNHA^6[/ֆQ+X3[іNXѱ6c+mߘCuzB]Y>Z8;0/1s=v$ކYp>(iBBz]Y=c6p֞q/W#lkf ٪ʲKy$}<~E;/ 6ƄZSP;&\xSrw&kOUb涯`yC}f))/ȘڅĩW~ UceA\ݴi}cS/)!<FM*(p n3$tctΏ%Hդ` f0eU}6 dפ?D݊3s}zKuqޓ |ɪ׻oV׷X=|M-/Xu~8Oq~ %FK4CÚ"cf+l#U~u[xFƆ} ֿ m+8fh>ƕԾϩIEc;?.Am;ʁtnԷ"& *x(H $DJEN͗8ܫer90G΄82T[]x4?4Β}^z!Z61_x% bM4 fxEÍ=۷.KBO+vxVzO V )\NQ%^R/C~՟{>򝾉Owjpe0rDfs(YB*BӷP; ߧQ} 2'ݗ)ߌ6gb ?aLO((kK"\fXk"s:J:[, Z75_)Yeϒw-QǨwXsEW^ TGoŎ`m{/L3^"(:vŒu ZXG 2.,,r?Jd? CQhb a [dVBEG [xOrn(gI@Y,2Vdy+=*okF`2:!)zVlM3ZYj>WL?J*E/eYLrwA6\?|>בwH7_y{@L^F֌Iip=+WNԌ{uA =;?xm34,ɂY%>}w}ʎ%gֹ#fn>?x]L:Ġi>Y#_g,G OAg ϵaO#{.X{o})ŇNp?.P|<:ZŨ׼/ ׵s3)qVx8MJ-{Ug {6/:nr>~>lIGs"qI79o:WI%FC8YZMF?|}Lg>+P}vwP8ZQd@9*'ϋ|Ûq'|W+ۊ0iu[Mosxx\liZb/0zWȩ)Vpӗ QR+^!O)O1Pt<}|sg*7ӳ^P|CokjSqAC#\+nh;BɆ9IHȞg%A'Lgc A :3LOJ\n@ Afo$;떾ƁK!Q# JS>݆'fPԪ_{@T{Kk^4\'=8ƺVh, *l僥:Nz;ߣWFSJAPJ!r8|_̓3FL!| {O N1D܇9=QY+wGد͂Dˠb |x9AR.?H[%Y?˂ y>yY:f}J(F&'KoG7]ޗ~tcګ񙺌pkV}$&s2#/ /MdЗV֓+yg|9o@2Oy(`+g45CXO;`dEo-qcCh!u}neVCѣpQ*jd-y蹶;+Wr]G[_-S&ذ!2X8`0+ j$w8[;Ia|j.ww%d)Jyu@,̫.2߰=<'u%y[#'~tU`'P]ӈs>X[!?,#IO?.}^9(zWx)VTlXs:キv̆Fl `n@h5PWdt~;0 =rZ)B̲'e͠pes-"áWq y75}Mb0ܬ]aw7PO=2=hK=pzxd՜~u4<=^:伤Kp!h|ä N)r~b+<*:14ᶎzPp n)ӖS]4ZouM%cO},'8KϛnZ+aUhfE[`omn)(- lJm듵KoPf̭x}ُ?vkrrRlz=K7"A[B.|f ]o{f[AӴ;jй'ό;V7EG8 ,[쵨_/_l%NpcK]]F-73C լ>Yqm蜂^(Gi| drwأ~r'c3ѥrΞ? 0 w+'\t}F_ɢ$pqۂ%jt/:#O] }P~Hd|p;دm7g<,79jb16}B9fzo'exY:ՂD ڌV6}1d{zn!H*.l>9B&F)dPIc#lB"R^޳]px>zht ѿWA^7U٘ik'1~ /W|ƸArNd tY{ V-zTݍC&:WuԛC+eɞCf\H|SOt[x݀>( `TOlM pΰ_}[ + fOƀچkcA;1> ë24wRlF2dDp8-}1 n묒LVoOdG8ufϬyT[-0}^q 87;>ztk 3g,*OIȾ[g<=6ۧ>N?Ӄ5rvu9أ'8h:絲1oɖ> 7u}a$7>s ZV&TcyrRכɏ/\_r=7 /| ao NTHYTy5 MBB nsѶkxuݠgb0+p1}W@箓B _ttg|]q8NYm@6N͛bq6*X;/pŽC ~ |MzӛF0j \. Km ~V/HIcޅt. }HyzFxUMBK\hs+Dέ4f-Uɵa@t~U|0D{nP`#97"1eJ@KRIܞ XF`2V *_a  q FZs:{xX. c]9m۳E8Oӵ9BD60ky'@\fSg`R8VZ0| .9%D!,L=/oʬՎ<ǣva T C ٘Q3Faih#_=һ  ?Ipd N>!뽁t]|&݃r&k8\GeH5w>t'dA.rPf:0%Oٴ7vlY[%L}ffA?%Q W_>Z kAGTom+ac驠E9KED>=[ !0زD{-nKAdq#ÍH.X̤D 3hUINTמ_t^&%Gr(ق]6l$xZq!~Fq c7S=0l{q/zoTO`Zex٫l)}Ιf:,tKoy6eԓ`u38yg%xѷP=~}}?1:Q7Xn]ϛNV^K 3SA 疙ݖ ~.a[AIؽMK~ՋN~ï&ыwV!_{7zVKwB蓢Ohjvn|5Aݼsv&'%1$xFy@K.U6a {mbvI (tO@[46[ ;ӹP_I Ʃu T2j+C͠96O]g|Iｫ|mO{ϡb ƣhߞMFp v}x$_篾N7Ty՝:_ɚrK|Ƶ 5×֬:g AU4lg; [Ԗy;GV vx($g/g|6< ~Y~%{ʹ#dfz\#q/U\ϫB%Fn䮿YjDq EҸ9{nrCni34n¹KN2s8ҟkĠj7 jG42Kz\3N~fgLӶD Kw1s~]ad%o&$$1vX&{%|:ϭ4a{^טZReD3c|c5MO+o:A)3G|@Z~w B|Mz@G5Ce>Gubdc/[-NW7&#n}c7 6ϒx58:3+8Kg5때@W&kc 9<.A= LE{᪟*nBB֜8%LLf}.Zhu:[ 8v_xg :*2:v/;_ ??Ո0js_0B ?%#+l*nAl6Im`GkKaH2 K8ML~ok8=D:@.K RSK綾f7nLp*?A'hb ƏM+4\R+K_߶eƣ;Vi3>L2y|*Ia{VAzmz׋ s5 4\c$//T^nJr;sDB5#* ^-- +x4#O}<G7tVA'e Q'Xe~j3kKj9u"0enPy 8NZ-rՆ `/`~40>"D& idhpS6ƅ.Xβ_[#fpO'2CT]'pemUxBqZy0`CyQ ռ2{ 2 OeNvK\93SK,UXdg/sx @75\kKdk07q=K|/X]g@Uu8tng^yrC#*N+'c]_H/cX졒LdM0+FK>W[K8z ̐~/VmEA/x`nt.PqGs<)qrN3v"?nf/?~OJ#Or E’fi21>Y>Ssf(Ƚ )SsSG2$yYp M"6T/V}߷$=pf9](do30O!OR~/X,?ę< w?f1uI }WI2ߍ d*sjC2 k&t=12Um .;2c8~n/O8ߺCdkf_ğ t sfJv*Dƃ͜*ѻ_IJ_u|f`; ;(?m3I'ͪ9N~~^/\K3͐88;crqz ?;5'8|f1'n( ?ؘJ(VGM<)c1=ʞyMdN[<\ _Jϓ0gpLJ@oTMxiviB j5?쵐 hxW, b鯾nFmi{-I+1Bۆt=}evDkSR+߷@+87|e?7#AīnI+E+^ qՌ|I^߶o>}{W[>|5x!5 -V-:<Ca2'U j@S_'?lΣp?phYwyYƨZcc>e>.AaF}ml-\Cgx|Msٟ/lw֖- =;WcS|1̎/c,/mZH(􌏺/JpYzW,7r<+NM8ِ6O>ǑUnB8GgZb];d>EmOpjBF>Y9P}f낲lIg{vJ7]dz&lp(R7AGb%(l&NB;,ScOn\<^V*fKpD6Y핻=L`YF~DP7.-@tiv8^gI& Zao$VZyuDx쵎hVRUqQm{=޾g}ϥM>y *$=ق*i_[œ z"&(u5,KStʳk,pOBFLd,~)_89#i5D$NJ?)ŏy][ي>WJj,FGX7NحٳA8=/`Tc籵O~eO:O}K'[mSFKKO[_o6YөpW;dze+lnu}ץÇTA!VNs#opsk0ڲ<&XIld,B$v~\RCxmf GCd, U1dg WmjYs& gxNP8zdJif4)KsqD94gEAVvR:4f?3.9+wx.!6eUCO}B'g :F_+[N,rmV MF!ny6]TG$#͖WeNڙSܻ FGs@j Ͼ[!k_]N<|6HOz#"Fg)YO'D d8&f*)sm /95*2J:U~rB;x3GE;dEeC2 mr̶.GUowHz̛̆ATm`!o cPۺIy/7&,Y- 7hob͑n302%hNZqn  dI=so'+rY0F pfn]miz'? >9{'3'iC>D`ːT3HP KIywp6:fRjVCt)}Y"{:~[S}.%|J8άxK^ 9[_▹m7w<{&H_5_:у[X;%U3WoZN,pHp-T-[I!⧂7iK+w{ޛvymAX/y埥躚O@oW ~uQKfU\Oz W3g<$/df;1[[D/^ֆz$A:+lJ M"I6SJ2"}G'#NneEɿLk2~E.Ju:L>VzMBgJ~֪y ^'6:>-7!T6@ڰXIt+9' VѯP N@ă@tSKnjPՑٌ~VO >?VF (~ {.;vW }Gk~P?Vg=p +ߞy|ӖƒO&TQ^q20++e]|=WmjQ};3\l<l8xEw*cuO4=r#êgd o6ഭՙ|΂t?ޭ?k []/Ho\%$;YYFSo*s1ڲ V4f//DK@|t*Ov|4#:Ut2>?҈v(ئ&+i a7KiKK'O<韆<5G'p֒Э 84Y5X}*B ݂)*Ö92h% #zQ)٧ăI*7(cg > 5=+Z|hvO+K_Coo6 +Fm6ӱmǷXYz[_p8.<( pNk bY!rU&Ilc}tU)[E{xW-o%\ et`4stsŠ5G%C%Һ-u kp7!F_fy4!/#UGl`{< D͞Ѳ2- ,'?dc W&枣w DhmexB 2SJ` /ð)o[eд7A: N y\3iUw cw! C)'Dmv`p1PtVqYp!!^xNNO 1'n! n(eo:GF)hw\-7(O:h4sF Of-8r{ ?dmu?\4 5n&<%. ;4|ׅ̑19\{U%hKeOyx)(1{nb+xL%s;yɊl_xx#CN!ul@$x:p=1/3Z.:=N>V7̪&*:`)o4j'K=5km1Vh }6zY4UՉy^ ~I 4[\tpx_Ŕ(_=K%ڂoOFː%+$R&q:y} 2 HxrQz!UpMc$<(|/ْo_^˶;Xḿv{ZX-yO[pax8l~!.0mYEp}B~~lˢgI_|9;.t ߜآ-,A4q}tp雋-;J\CIlhI㧝Yf@IDAT^Pn:vg%0ܒп,HOUk*+I~6$S`;`3ա[mw7[ wA|# ףt!K/yQR3}c[L?t>l{G˗ǖ[ZU֏׶u _oӃƂ*;Lq0s ޴}AINRgs,QSK(wɈ!NCp=mζpP΄AuB{= 8wa#`'pB9uƋ`[I!?g~Su&9d%F6EJ< \VgeVL5QJmin گqWy~}ΑG+`-K11{P+\L W紆E;i@;ӱt7KT YH=wA5ѾDɆѰj+0 :,f uC0 Dԋ8 ÐT>:ˑ~Jx-?S<L~ lt·B.#=Ow W8V|76)У!}З줷L.;1Flڝu8ltզ9-pᙿjǂO vǘ}>Fr?Ox? XC_gҲ%^e~:Fݮ.==q6Fv~!OE_ؼD{e .pYª[N@/26OAP `ez~[/L|qj^ `omUWI=Ɨ_i;{lfI1[=ŸSCxS_޶WOO}vnp.F}+^F`ժ-uwe\5x7ݞE04Fu?WXRdf ]056_bZk@*k\H:;fS[2cN' %1DFf7:: |Fffpf \08zqsrσwE:ta/9 6rw?M!83<@[unfpf_r`k8O:[*&lNl0l!(5 n O>:Ƃ#wւѾ 2̡lr@,=_TD&xP,233ѽeÑC*(^_NxhpmKv25ɞ|G&bNbPĮ 7b>_esar֗uX[y. nKdi 3,όhd{3sA͵:1"fnc=@ =f_:qtO0~Vǟ.ޕxu][>oq$ά*`$lǂJ%]hUx7K3S=},/gOC{ݡ0JVp5;6y ;{k&ޘY&[+;Ԙc|>Y~ F'gvWliuş@@ w=[{ ȸ6[SѥZS] p}sWVYǗYItb큠t{\S1gNyx(~UrZ] ؊V}:VXgVqv 7̇m>`,(kCWAә A5iVdgL=RJ6d/I\@uٸ)`t6L?rMGW{ ~Oaùy{s[m|ڸ0<ЅCXl (V(T8Ý8?rTe2o{UMr_m੭ڮvxm%MkO]HVnYLbTW_!чm4gr'өot4Yh kͯx͒m+oJGwo?`y̏ǔP&ˮLw p ͐ R(B8$/ɹoN*Huˤ_ `0_p.lԽ:q{{P bn;}lfm:\d= l3L(ik}:">*o2]+,xUyfK+hF)rUK5;חG_m#'7%ɔ:\t^KÒM\"~7-Ay jks =J:h5. }L lo@h/vADYJ04 f#N9CGQͨBSF<#-ʢ992QC pp ?0H:r͑RlQ۵)Jݽpe֗{Th5Ǝ! SLG))aF 0݉w;5 g@FxHGo8ȹC7geN!o&Cwa<4P*)r7G]N) x =,Dz,Wt+9A('exp–a{[H4 j'-tM=W@T6 xԱCxJє/ż "MpfALdd OZɳt2VsmЪ6 k43 h+KΜ%[1rI0aw*s]31NW4mv\8UA&w}ZxE{.H GvZT NH'A`+kXh`V>ڬpWL9+ߙf(#Z'⛡F>G:# уj0ڡ^խ=APkD3 o<W$3?o0 ҩntEdp00bEȽWIdkRWɸE|@" ˗e=B!:{__ɘ=w/-Nߚե{ةhq𪺷v Ī`ݳZ +wd<9 6+^/h)F˗/>DY?Rw/|?}YueCKdA}pqg M%77+ ~}فŏ=I3_jNW?K^b'c_ϣ@z6O߾fۜ!c3Λ.Qӓ] VX{$m3?G|ɮ - OȰ,A䵁ٛ˶0XKo0~~7C^-s+}d#I-}l{!g+xJ|ė=_W#Jķ7?wϞM1Iy%|[aE.>>HnuqUta9M^(,`~ ~dJ~߁?yg(]5HZlpqnJ@'z5^"U'~lye$^ʄ6JM'h/||=ƛ˝F^\צs`{.Y(J )dݘ.9S(z ߊkOUWk:$3~GYz"_OO;ltM+֎#&|P ]`=v^]m$p@#>l[L٭ld`8+#ode+jL@"qp/S?&92_$x|= EhO&,*tyy1~wfɪ7R׉~$6NV"(*}&= ==L'D#h  =VߐB7z'4~ɝY%2D5>!1 VЍH=_Rr}Cm O4Hac2 ɏv%Mz[`B}?H1ڨM<%Ȟ{|Cnp,|,sҌ]耤7OU;/sMHÇ  "?K |Fz"llRp5]gta'#9zgV.]$3ӭ>vUmq[WI ᱣƈ$gf@xy@,+ȵXzw$ӗK>crM7?o{G-$[[!-M:&=:~p<0nDH`_P?fƫO3'UL, g=&(+;֐BʹxcUFݬ@C +u@ӷ ,΄ ˁ2&oIwUjD)t ưL(G EBhs s*cp9RO=Y3Kc,-D-p$-Y Bwڟ 6mVRh 7)),7ϱh` 2z3~`/䠜GD1Y@' sD\o 0NY{f;f}Axr;)e/A5:>Z` "eG*S%*7?1 M78'&>S"ƞ8 &( یR8ٌ,AbW˛Sգu*~B1FmB,Όdy9m)T NWOfɈkvW9lHP !3G/zE[Y} h#y q0F. 9h6|օS/h'  Qrq= Phs?GX94<@\RP ȡfɥrݘW?h ʖֹ d 7C8';\z% d̻Knex8y{w"}O/n6gx C3?KH6e "7w*Y,{ߪ%ox}f8w,o0l?/{]?t7}gHz5;~ w QO}\^-//, vkY3fĽ[ضV6u͘_OG>v_K~X%0믞Ԟ8ҽ?=?4V|,Oz6wzv͙N wKl(eƇW\u'ד˭Iǜ`ճgGmQx5{jv 6;U}n|?@CO)ɽ%ç,xI'8aKp¶9kE=]:ܳ"9}ム^|㋗FvڰepnXBE[ %l &]V:¡At"J{y>LmI]v>Ecm7۳@Oa2fȫ+#4L"VU[Y؅CEa3El|{oJ t2Yz 3k-3_=vcNhre+[`6+ $zg1 fTV^_sk{gtSy4eZupm]5w^xfckqA6o$7Zw;9C*^ 4 `ƒ. xj[,vkɁ{W|eU ěEpqI8X#dq'#@FeuՅ|so۪2V$wO`Ih~鹊tf <5H;`C~fI[FjaTAKzo R` !&|$2U`J@sԪ(H+{CqCs?In i |OV9g=2za~#+cqMvYIGD;3o[(gGfd *0IM;[`ACJpH2Sf~L,=7ǘe+{eg7@ 6!" df_7Y9=)T7j 90_|]RNn#Oݝ$" h)z- Ɯ)v7 \IHW};<0=ܖtA`" d0![+熤ፂkЗwͼ^AA޻-613Ha<=xjS&*) ڔs0>JxU׭E+!>=K Žj+eN 10$9bqCN+`GOLG%՝~It k#D{dN]MRD꼄BvQ;`nC74n#'߽B4-C6E8ݔ$_ӠCIzjPNyf&+Rтy^wt=])7#d< fRȳ3U^$W]NKVx#{KP&} Čqa0ef)؇CNzvg}5i+v$f- `?ٿn5ӋځwAнmbs6:or":!_BMȉJggqb$k~rQC8~ſ_/=K 6UK><>Wgo?m(%w "٣H<2g@mIʲ5o7 OŷwqQ7cd}ё_67&4Xui?KH\]ӫ ͨoyh[c\.aw]bjU])\'R8Vx|(!| 3fq+~ViX݋&)1o:_Jlڒxd)]ɂ~Yëλ8=v+)aI躙aVXlh̳K{O-* 9tc/2&թ/NHL AtM<͟nX2~-V;jɭ0ίl N2]E,x¨i:,$Wp-, J79U<+Ev4M|#H?$L6|ԇd՚и&Y1UumY9VhOT w5xC@RU獚sg 8ß̟iڮw%xF(ZO`U}a`9|=8mȽ|`Ddd~zݒGoЊ};o\ų cd Uc3o٠NB,R+ۃQWc`oTNba=|&`_\ $6n|W1YCak>eS?4}ɬ#3#i'?+cVDrjETr8߳{QW\dz#~i:b"Kfu՘ ͷAc&_C#߸csY|@{: 嵟EE1UU/lB]jwe{>M!0҇Vc[M~rmѤJs ~_Y hV&wYNzZ:-ߪ)wӵ&~G{+O[ɚڛF7%x)a=Es8B3n]^9c짛8@CoTuSH웿ݻJM$LaRo`v|x,#Hd=0kG B3+b2ĩO$HALߪevl̠h~G' l2 x7`gwY&gYr3 1m.#v:V4D "+'UNxl ƙSpsILoVB[MTF39䀓)@I&,L#P`)$1j3R"pdwO`ɏd? wIΫ4dB m@Ev%k#vamsO$O2E'萸|;T:a3Z^աҕQt׿)}<ʉΌIm-o0;ONF1'rthB{5L^Тr_%':_ xϩی,Z X=? ZL hyګGrH`.P@Ya5s'vb>!uU?kbR- q9!w #KUi`ߟZEPT5i481z>eLh.(їyȹN(&咣_: B}L'K ύ`n9hT]qMyaxZqEtbJdhU (M=t6fh mpBj7Ou= >{}UYSu'ݣs:4 REm /]=_-aiݝ&ٽ `+|8Z%`T8`MWJ %RwM0ܹ_ѺUWYoшXYy{q)2ꇂ{f/22c(W۽/sX2τ@`Me;P\v֒e2`lQEKI,d7T~Je\ $5nN`C;Ɓ6CS y>Q3pEѶ#!Y ﰎx H_t(L&`E|0,g"w{YfSt>  P8 ߍ˳+߱݃% h?҇~cʌbRfZj$XhǠt29g|!f<{vSv [k;J e9GY*oUTaNB-'amʞ@Ƞo)˙xoշ-ʚHB%}Lw?ӓ+p*bI]3d3aWk>@͜#_:Kӧ eokbps0{⯝^:iz['l^/qD՗!cc"杶b*80 M+Au63mU zgqfI>>y, V$/6~XNu~,{~n+?of߿(V3A~BE+32/ H>tw *?~7-߷:qc|Db鎕p^ 9x/;DgK-hgGQƜ+/h+G_U?nK2l( f>hPad:qxw<,^eVV! ve>fu[އ3馝x:zx6ʢifO_癌AJ{. p=|#1Vs&?cfK5"&BSc2܀DPѥ0],asm_&,9圏 dr]NjS[r&\S*v#wq2h d9#VP B6wHv2E8BsYh#|e+5>CeD2Y}rp_RIg+5п -G+|">1A=,|~̈0`_2p>Nmq'gQ*SS[GtRU͈d;1M''1RX&drv+*$'3;s|'<dN/>Q3m{L:nGA6@[Q=ɚ<\0Y%>1WƵ_l2@{>{U^J 09]b)x~:,KQ0h(*TQZ}#a=l;jn`Dx>ouV 8-L{ &1 '^`)80@Wa* _0X!gw˹0Pqfo~22Z*\" L5*hC83>,$I/ljCnZ&q?Ӓߌ~UwpԆ/ǻ48EW$$\ OCwfv Ɨf>f@'1l<Xc}X.S[`2s 4?˟lO v$la0V8C<"7_w~7Eg_+eϙ A=ԙp߷onda% Зݯo]n ?g93Y!zZPY@y nCɢt$`1˾X2Vl ٓh&_TBll;boxї~pՠ8#73?ߩz+A½,óiK9rٯ.cKndjۤ +\lj`rh~.+Ƃq)IJ-}p>Zπw*W_k~O[hN00WTֲ^k}QQ:)6t[;#"FeO⎮|  [013͏?>?wsۃ>CۤA_ο+$729fmڹje'B:u÷0,UW::056ZVɜ=Y70*Gw'ˈ߸~ӛ:~{LJϹXd"x?M"[x*p*ylѱC[T=;իC%_[DžD %D{@We.lEO>d~*3{T{-0;6>/ OM~m쑘qA5 }d3zM-MQ*0_2i>l{\6ɓxuM~;!)٫DlB~dz~go4Uh×m&1j uԎg%s,Պ*%J?Mf~^e?3k\U#uhwωI c8(%AހFjc %=v,pۯ[+XercZArHoJdtk|H@ `$-~5804jF6Ȟ rYqF0'P-{+ZWL"|jdY)ago h#%|`a=jhM@ ne+f H*Аq~4`gh_Ѭr̸ rK+dD_yd8d9X9zSɯ=- 9 ) y?vDAZ;QmbpF.)ȂFq`,Q ]U>yALM6+VgTH^9WP92UOzf'f[C6O rJUMK_}| ȁև~Ia'o(x N]$3ȵ% TI$[ v+gNB7x 7^sٱp 9bGU3W>M"ZNL)߳i2یk]pᯫpU}L<_td~)}#x WlOM+k޶]{Zm94ۤ%^[ tD l0Z:p2{$]O$p9۞ K+N 8|2d$!tր% d\!f&Mm||$dTmpar DI`Nj?O pnÃ/yrfc3$ #b (i'+azƑhQ^j?{2xi|$IK'=7$T۾;->O:,-Wa6_*k#<? rXW /?y5Ѹ]'h:c&G9. t?ΖH$ٍ@ 6`rB4L1io pȂ13Z}3e=Y[@EJd &g+Hk-麚ÏphЃ|t _"mgF?TQ4mXpM4m ߃e6p 6#KIrdzNډoԙ$صQ`$X5hbͧŏRtx~~M&D]]P_8@IDAT:oUHԽaB@pC0XDٚenb!DzmF"^柘2Xز<~"BWIT'"(Շ%pf Z}fȖEŝDw\K}Ϩ6֛Y;\{~Cj%|$=_c޻ƭ+-2nJ-L\5Nf/yτ2[x!C =8869L04#^ N-LWlϛCGkr,^f8_3#IUفX]*HosX^;3&yRN*T14_H3C6i ^`۳\YL". Sj* $P]f 6?|6 oB)SEhNͮlЁ[,LX(.fKP,Q$5N2F`; O``{A} fՇh>&7|-0Q#1c"Pp%Z^@6N:#RG^} ">p՞_ dyaY{ɑsNj9r;(q0k4Jn&kK]Y,gC uORxi<-1wǝ #よXo~}hW{k<ſ߼?6M0OaZ; Ɨt@iHp`{{ڿH$$ *d^5_KT=o6A7N!Wݏnw@S 7Oߴ[T&~h5`:?N:7{87GNjU7U5گqq'}?q4N8^>5/!ݟk8{cZQh/H8LuzW%Ɨ;Or%;8e%#CފO[!A=zENX?ՃVI/9ԌVwW8Y KЇ4Vf$eB0 3$ ^&3Տaa{J40gNXAxhnmNǷF-AlAy$ϘyiîsZ+K1*y;c Ԇ` #+]3ӖTOtt}  VPĀp;ֱ+(mH߲ъ J@-РǒxAt@hc3vjWO28?e,X@+z9He3zeV7BlAEbˍׄ'[s˜կ.(Hqx_#<g0]'Ѝ;gҢ1]omJ^/)6"T_Y*W=U:53/]*UTș }F0>y-/PcY9<$L[P=semPH<5w8?u;ݏ</m@ fYdb׊I#g013{Ln$ƌ$H3zT_M~ú[\U)z4u~>|] \49U=[zC/ef3=wA.~qW4%A!8 ʁ}sW}3nǦWGHև> `rI y[4]=oo<K պ#|-萶.*辄Z%WI{ђpJ$j{XqJL:C՘ӭXpɘˤmP(R?҇k(0 HC _(@8Z!.Nf'a16(:A)b cDDF\3L "lFԄ. !#kK*)uʜlguPy{;nUO>Ũ@+hW ؉>Kb*`.*U6/&?X^ndՋ-e`igph>RXAuZ?C(ald&9O"jիM|e+o͑C6C/fѐ6=^Wׂp~,uzos}SSR ,eG㌝,N~~LӀs&3ٍ7F]_6d[u\W_,w&Xt4VaFnDDUު B[4Mg3ȨՅݟLW-b:m ![kJ-0E֧.HD:`>sYJD> `}iY \A]zV``϶BԦRzΛ1]`F9dym3C/n]eeI/ 8SG ģ;\#Lˢ fQAvcw9Bfw"}3¿ve.v:~bm Mj[>.rYYEI6[~K#%QIo W x_~ g_5sj]᣶esB~ܼi,^)AnߕBM+|2c6NbWeW4Gf 6oY+`Wr'>I BDȌ1;; ""۷{^ xf~8vFC -xMcvsιɔq ivs{N&|fTK 9sIzomϰKqإ1dAd&c@p":,]⭧RS>Un|r6}U!z&A<zh}^k_.G3 ?3P0vk*r#Ƈ5D9%vpX @A ]%vP*FYNK9vwJѽ&V^sG'\@$ʻJ|W/,YW pֶToƯ=yߔ 4lȵ Ƚvlt|/K?eE5%c;- ~NѫGǮh_IOv&F<ƁSвTb < I$Y屷'4Bz1vZ%wQ;Ri 1;ЂI{(a vu[EBKbdM0/獇cM^Y#vlHn4U,I]uӽ|z颓uXgհD;"u-z9 Bv'krNFnYFf{e{X_!~}ݾ ؗ!5w({b˜2Gـwy04P;aЍK̚r4lY$ƌ>0lpVm3GM{`JYrLs̈ò&l)Y1贁5 K*G4л.$W.bᆏ`LC_g)h%*C@3k7x/V=9;gAk NeM.`)E풟e1`#Ϟ0:1j΅zd^}yJt5~L])1P‡4pnIL|]i U\ EtOAB𑝺236Ś@%8 hq6>WnNzx( Xhz{-U9N"xA&jF\9r%(x. х #T}5V3}K6j; L-rڎB] T3_2/!J2?lfɘNRW_m&ڀ®L*<|dt-IJ>TVYef,=XZe39iY_罙pe"N#nsv*z^;AE2S9i7%ynZ1RcZzr{l"no' /=>&QN%iN;}}Sbċu|% g̶r+$v΋1z9[ơڛ2)wgs6a=M֝!Xͮ {/R_=,JzO| lG;gF'5ꁫYNz3µbfzLYq\V^ޕT8ܽ.ni;6Ʊ9zFN ?-vlj &I*?;3ň([XBz;~YfĪM\h":SVJh7X_7ꡕ=`+jkɥC >>LlBMhh9@˫Y-أY nҿ6 tt_ޯdnc޸h=Ch?Fw$ |HfGn_pHFYq]^_cs:?\rcTg}\s;[v|Y޷ NIgLҸWvJ3} ,AK_oMlXFڪF^6 ik&>|%d}+} #P 겲@[ܘDc4CO[nlO_ɥ/镛F:x\DWnpHFTF*v- 6Iyoʀ__cA'JDJT"x7^㱖 1F%vwHzlXJ\;1+6N&Dn o0u(8LԈx*Jx5&%KHqnmU#My"'3F>:cg jA#8cecU5P d rJQxSK*P]9 C^`^?eprY2}9 pO5+pLOU 5C 7Ga<9 A(!Ew21lDɒ%hz}?qwn2Zpp0.Hѷ/\gt9Pe88Եn ֞S^+"1v^֧MG[ |߳a9 nS _%'7XyA,;&3؝a 'a\W=CJpBO l6'ѧ ]Wj۾ӌ: Յ9i :?K.gZlf0@m/虙9F-a h~CGV 5S`&, "-ʠ9V"$p8TF?kϦezIë!ՎGnx >G*J Y;̩3f}#u;^5BN2YLeq[w4h{1MA+M>IJ 7_g+8p,頿{:.z]!~-Wxu˳+%g;H0_o7|xmؖ`$$h&4pi t5Kӭk*D(P}aLc\yp V3ـ?R)68lyb7NK/v|6V i}S 6>v ]zͯނ7"`YX`'S;6TG/^}>-ūhh^xF,Op)v6ʳ?[yetOc|>q>@dU!wiktE|FZ9ڃA2"Ôq4K m[sς06k;DSuly2XI+Wz>=rTp\d~N6ؼ 6827+O*rQg>8zh|>*_[_`0.,n˦k: 'pV"Sژ_+W}=e^DRhWAv>,^ Up&g+JΫ.>5@D皝@Adw LWpnTgNN[hl3٭oG ˶EߛyvY=PcMp~3*+?L*kb \tΚ!39O5y*o ü+Xp@Z>@pHl7ɚCoP.%$eg E(%$@3B ԇ #0Z7F_ 9R+]d& 5z;mv·2N:s,TVKS~wWa ڜ31p>nv[2rD 9~Y ?hڟS#>>\g %8Q(6~&&Zd-p:ā1̡֜ Izt-٢tI?*#Gɰs[, Nesߏ!p<0cRRʹWϠ1#g *7w%k5{:QBμe fn՜0^B]pȩ] z|h.8+8s3NߌrMid쑓M )d]խ %4^Вގ6tz2h!R3EhYR]x.HA?5s[Ԅ_-. JuOY.AWlme淕կv5ޣ`rn]֠3-8-)щ%=ѡ{h,bDt ѪBD-M_pj 7sY%~w`ꪏgN^jetўN[' ,ii6`viM{߾(7YXBo˛nre *˱4k?G퀶fBW˂mGy079Ǹ>%8M}VdlCbx'f/^'aA."U`XC%l* (0ȟ?0ʱ7ޒygce; dpyk![% r--lw9Xؽ,Tަϝ%(dI+6sv^ͨk{~sY{/84/eg6H2;ի$vlϿA/!ɷ}I07 lMoīXic%lvɠt>4"V:ra|ʆIa8 Zv.K&jvpYN3kQP xu5֯)ʾ ʢ N@{@pQ8x0n 9Tt_ʏdy6'8 1 X>kjUЖF~a%^̾|k49\8tO %x~oVS}46c}Ҧkfo}:oA.X> h=/FוJMQ[ vkHZCg,{[ZC=3``QdV/:hJfpBwbD%y}\PأPSprYq{q Lr J k|xݬxc}I}  :Nvtm͔˲2q:kypн3] peTosZvB:DO}7i*$'`)+ks9ndgu˩>2pЩ\W[!'Xk{v?p#Em}YP::z&'W:SxFSmIm?fsݠ f:Ǭѓ\ F.m&'  k㖐P>xA'neCyWG#ÅmYݾH(9,0+D7ҝlwkK"϶%Ü>;D==އ0fDO wo@̳N3 jf_o،iɧdw|^XܓP};%̗6]7x9Mb2C0 ܷ% ujoo ׏z.iAqE{'ŧ/?.J:Uͩow;en,V~t[Bi moߏQUY/u|[2e^Qptx0~OpJ<>/A`KR}LJh}e?_~K3׿\<_׷:Ȏ{ӂ^z5_]6-9M)pVٚK3/|YI2ڿhHd,q`St3=Z9bUeumݰ}}l #; Í_i;Զտ,`%gۺU[5-Ip">KV)#yDG85f=+l%i%w[Jgv[Q ?fʜSpmn|y Rх[B E!{oMvT~4;`EM?*mM 0NXm0gF:* %a0;c˳{3~=dX`* 4@\ڼnn.;ó%.vJV蓼ur NQ߄suϛC+ˎrƏ+{p x\)U Lj>gjU6D+T[0I-H$ydpoҎ[TSLʮýA8z#lWYh$Ue>Va>,IhJbTOL5e}ЩX.[|_ѬK\\u#=x O3 & ~9xA18ڂ+Y8 L/2@4e36!2SJNy dF tT9Erԗ=Mᢄc!,qDIA^ Rp8vPrN9!ȑqph$ vxfAONih6#x* T[wn4Y04{x`X d:ݡx7*Y%!N]k+>z^Չ7ɖ$X:0Rx^@۞&sH@ l!=6ue8<)P]D^#-<2n'E fތ[$KHA 9:MBAl&P6(y1Ϸj'm'VH<ѣ"^[抷f/sbj@e>Zs'ZI96'U8ysT͈mI8=rޞi< .N6;9*ӓOFt&ۊjϾk|M@YF~o  d xen8/C0wmլ̺j mܫ_Zq[$#X<^4 ]f %beWY&:9FCI9 I>zP֘s.*Dr2݁l1rOh66#ll`~O+n9,F[x\eder8~L/Yk\|jÛ[zArm3G3m&)HwҞ=pտD{A#]!Pk6e:86-jn?N_4rXȉ^VvIX_dK]l3/ bɬɓ^kw㗋z+zM`م0KLkE?/CtȩwĠ]4Abg pK^e[HĻct[~$9%%U$??~$843<4_ƿ/$d&[R/:L2JY-pY4<9kWǿ*u? ߷%r&o5֐)xq?z}ÏG68G+ KLGV9m쉇U4nWl\kɩ/=qEOND.qe3c?Y@hT$=Yώi?>_d^P/ӓǽY]1.KOrRS58G w-::r|xƎGO>qs˙5˳MF WP Kc 25:AQ[q-H o. agWgí'ZɆhgi7qrYOo4 g\UA#&/K4iLVuqċ>V,A#?vRɚk-Xq -Dg~ (cs >&U*c< $yflCݐͩKx`[?I\rwpL(N,E蘄ZHVyVGƲ[~Pe5bRN5.!mߠOI6FΈ;t6e?^$VE;ZG06=$>l'ypFθ&8q!oK5qz?5F$ 9k4޵]lPPAؖ'fQ%+GI{S}+::oM=: >e6`T~l0]sijO0{ +HF(7o7r5݅Y4N.v[>_^Y%}\YzqAD`P֠{>խ1)wKⱱ_k{>vaz%&IѨζ%l m G1zjm50|d"! ? f@B*3o\>̀ q@b ^_n$pZa01X1ԌT8`Z,QZU5jZʵ飄#Hxc5 F G Dwwva  W7fܐL9YlYg/2l $8pmN/sN>;#P?_N1Rd0lc<`ƒ I z<{@RFeg&e+f,Ā$r0pG 3f9FWP  ཟx!X7Dzќx-d8\ڢ;^ˁ`8A3,#3袻>$?lKPYB RbFҲ;9U#a33 `_ˎS䚣n//zqdQRha`2]Հ` G}Є#H7BjGR NBHg1-~ -c5@\K DgYEe5=޳V` YFD!.fSz)=2س`8frUIhpbuEkdڀM ~#NXa npm$MZ*I6p-Ӣ:++>ǩf"bo\lt%^jUˢdә ][P;V 8|n FzDHLwdj Xsuf]ԀmMg {ڳf>4iBѤ[ړNcg%:d<Ͽ|dݪTpd[Z `~2l ;)d1;+] >ks~kYCV˒w%{{9|(Fe ۰Ȯ#~R͔sJD-g_(ϲr˒}l{Tl9~Οږ@9Ïe% tuȇU KIxz^DdY6)I4h?+ࡗD(!`ڐx?1OWI oKl "-zIBZUqJl-L#'gQJs;Y$ڒaL1#Jş;Wq4iAaF{r\x.25dep>,xԏo,h³SdlgOumIHNn\G\g4Q> @x z'v nZ6.&SX{ Z`7 wV ,5ӻ04m]ɦJ= |!$rlf!7K|}n;+(\ _UoGFx|L4A-vLF[gc @.k?5L52o!Zi|7J>zW LɥbѬv^DT*ۿ%`ʞ~[@RcCr l+wࢩƶzB򚭩}s#mxg}Md nMȸOnrcG}efD|ۉ!z˭^wdlݙl x JN}"HO^uW~Is+!&QD rh*&rF|f rfieHjO"d  0`*iSV=<JT[NLJ?J;:Ԗ-3kɍ&@T?9b3;x Zp;yȇN0*|@$rBLD`jҨ gqu~$g(WFZ1F0V@m`sju e׏eh$pĪ=k۬Z-e3;& H]ޮqԇ: XWY kBޠܬ|Wp 0Z9Hlt p0*?V Y͂wFkN]1Bz븃 jFu"skQFpƁs=,zU N:'SS|ZGԠ!A^숫F!@IDAT#m<u_CMQ4T=qN '>+5qJ(:NO_WCt2+ }[<9[o'?Z"lSrq0j׽x{`l˛-KGc6oz#[ o 9xأҢh0pmNQ rJDtwAmuoo4YPN ^O%wv ̓UC3RhVrs3-[/  0 PqXJͷg_Crc3OF;hO=s`d"}9GlRĻh=*2Sa<0~h6.a JTϦ_2oϯO?]\Wb C`x`38iMDța:0!d ȗfh @Ⱦ-$o{9|{tyɱt-IAU%ȃ떵JW3,J–?׹+J%z糶ޗlԖ[=m u]m$( LƗh28{G.Qlws敘H.+!4;lKο ۳ܳ;SFq>G-w ̶ҠXrY2XmXHuv^ח0F~.V5Dr/!Ba1>Tfj9[ʼn7 Ht4TVy>WmͯZ[f|4GavpXl=sa+ƋJ'9?0-k}SF!{?VS^hk+!eN(Nލ A=x9GA hm{j63`ìl%k2K|~+fn_58C_с=X,-h2KBނc~e 2910im.ڬCZR-HvC7 -^x iUfW.rhL)QA2,Or!;:Lxe fI%z7gk?6{>z!j]{͇ z녱4WqEW=hnʵA$Tn5+H?j B[C@Tl̻xF3:Hjt>H;};Ūnpi o@Wq =`ACؾ,fh[)el_@=.:A$lEma3tfMxM`w唢LAߑ Lzai1A;K."Hre(j!ǃL-:f `So61<8v>5DPg lo8DOFiB it݀68B9uz{6PqN"xA poFd1R AWf'f2DS|7v-8idҠz mNJcRefv_m.=!X A \[Β & wwQ ȏ9İQVH lCu=XtYR ^zd@ߺ<~F юݶtՌӇ7 aYw-1B?(=Cu=e6%mQ*~ԢY1zh`S/bpW' `ǧ:|( l=8j-he'`?xqt  )%}7`ÂZ5𠥓V(-V` ˞͎xI|7zN~թ{@ޣ|0VE2Փ+?1J;b 9&YAhjYwwmSxucR~Us͒$NcR Xakwmg289pDۗ`bDH=v.ICGGx`ɶӾ sڢa2_q*ٛ[E)G GE _yIvŁAxN}Gh}/@go1}KJE1m$Ȟď/SM1>xL";h9k!MO?6xdĒNK)!Ӻ5G-ȟ|SzOUxLd| 6%^pps86l f>P(ܩ&l₭ ʣq1Mjaҡ-ThwYA>l9_%|6A/5s||R䨢EwzY*~_ߵvR?ЦiKS~;+s)xNz{?ς W6MA?trvznօsѯ^ɀ.Suj+lWA 4!/UW;*·DdX)%#*W_Gq18}mu_^. !X" K-MRz#?de 0X}vm2T[Ūjy.u_D@7LW<-(\1ɅhN'# u2qjI!~hGU QdI320@btAYQ|Fw}Gi9`nY-t-+~7|lYJnVwBٽrV!@:` ~mV'Xj'֫I8DgʑȯŰdlh Q_Klk]ddPfಖ]j"[yEl=K{|w.7Scw:{$ xm}XX.l?tvNL 4t"uQ,x!ߗt}!LxD3KN*~l6tz4!DuÈ-g41+06 T\qX1oT'6YN70pcUG?څq{1b} "+8 Ɲ n7_(D_i3z@6Н5Ipd޿%Ľ j[eA0Պq: ό& (Dm̔{1a,2 N僝+e60i`ЊA,zIƠ[q;j`[E "7I&?Q흥}^x)V Cf{3u3l (\y#?u8 ]fr=:fh$] %$_Z, c;/6#uf%G 2`9N2G.-s7>K[ANЏNzigv u/}?Ug 7 B(PĀ_}Ι^כs 'c׾YcryNs.GMTk37[9] ]ff-ap?y=R"W,U jl%}G=lz2U2tz3 +]4eĂfГ8XNn_B/k3mU'ܫNj#nM_0C҃gߌ#-TXn)CXצǵaުͳg <,t~eIj6-sC~k>[mֆUnBAg[ q{?K/xe,O=OW`cfCz`m?p_Jn\m[ᇧvfx^?wxdEK$+_> :ru7ٰ] ;XMK:a[6}`>;>(W$脱ztCz̉w}ĆzaxǧG`Az#za__>ၻ`޶%_l %*R{TGtq]wK8MݶVXZl+:+9;XeE z[d‡JBo խ3*u9/_T0] h 3"bZק.u]98qdv+8ؽw /αb .(?׉.2p:x&z({.)`L0ُW?RamЙPMM S1hdD';0@)e2p1_ATHᔄP:B1Rޝը+!=J`tUx\$, 3R&4LHrQ Q:CX]a =rC]K䰙Zp8fհـ DEHE UBM(k CjoԾO4tݣ<cWɾ49~2Ap!?Bf|3+a 9ݧԴerd=*Q}Uy"&VL`Z1\WiA[rJVYU/e L8a~ F<jm]ѻF$} Oelji5ͱ4~nyvK Bط K)~{̉~ qeARwHxUe|+/P 7P] :?K%8ѪO0|w24%bJ$x~4f-"O5m4AW]@Ev(rc&[]^V -CmT $\? m"lxp8r`xN Rͦ Zw&HU7;tgm~߿S`if ="Ofћs*W쏯aoNF@,C$K牋gնd57?"(3y'iJȞU$ûγyDd/=`3odΏ?Pb_տϝж>Vdo609)1$[,l,ip$<*Av- /C_5C >i0/Ihl_p3 zklwtˊIЋ]Wk:dSy1G[!ǣ[:osWzSg[f F~x O2Qw4?|A5sOAi`$wa}ʚ%cN(i$1݋&`=}cz4[^b1O'1n~?2y} aҦ>M|v -#X߄ۉЎx_ԕ6iߴBX\Ikc;-E w)*d2$訯4EڴecKEu :zk b¼`WKI/1|M j8vM XgOϾ4>M/Tj~dϧ-*q'Ad }bqW:`3!d27߿b2%8d*\ crR"ӽA3[cAXi>~rm[#糽AN'NbG@7 p``D7@~buv̨i3 u"YіQwK>q,d0( 0в@L({mt*]#=G8ƥ37Ld1qNvo7LQ''ɐ97;e=>)g44@|S`ݫXKt4`/X^%wOU,@wXSz'D&ʡjPĠr(}BJ1)8l8_)Dq mFIt+>[ QЂɽ,Kl^nCrթ M9̹ 6Uoi09D12vismIev Pq-܁29bE4k< :O2lC79@TТL( D.@a}6 M`G.>[]A3U[NN%זD(5ݬ,>?5}̹d%gŒ{Ȭ}Ρ|uG3oD7}{Ҷ^0:[^Y~/ZU;!tnI&Vn޾_棫-g1YGAn0?v{$N}8;N3Α~O!XV]xᜢ:?}H>O uA46Z{%,] *KxS vC~tW7@v )MmeߥG-LfW^yfٿB %^x{.`mmj7/u?_/%?fҭfp}5/o9jK0-A::x𬶰W8h=gO@GGv}L{wR#VyT v,&gbkK*?SɲmFE`?V4/mAuw2. c V\<6]6Qc̫^m;X&QguY2lj: kפJ>:GG4L8*n{;66 x#9`ej7X2>JmcWGQ0Swwk Erhz':%`p8vr6UXTWaq+Z3@c&?q+MH!8c}~ 浽Y `T)/i@qZf r|ndTD]8y >! !З1u̬?8 %I`E\i$`ƴrKdh'ylаҲJZhF&"fwIJ^F l@ۮa[Q;'r9cH<2IA:mqY[ `AqG&vKTR`Sj6#5qR*35kg'7L۝| c?s:5[Lΐ!m"$~:UԠ8#ho2KcӪPE-S3Spsv'B6ĒV3(pqbQ£~[!DAA mX3RG"C O$'B}MɄь^KTG‚7yM^:FmX QAxvDJ8`GI~dE/ 'dM%6,;=]־?YcU&;h͓ 2XQU#_Uisݮ_HSR$71/fwuh`||epe3Â;-mۊ`3Cx۶ar :1 g_޵Ĺw@H\=V,)Q[B:hζr- Yy/{hΙ7hfE?|5F/jixf-ANiٲrma,8 5k\0xYBU+WCZX%P6[ /|O}Z?|+ >Ӯn4_pg48R4@ouԍ-* 5Ju/ҽچt@!Ė_wr=6;P%fׂtvUegt'0ݣ'0~õ?~t \?XQ6X}Gxk+ڟm[eCr)uN,ol}FtӀk{?[B):Z /[ ϶nGs/I1ƣav])Y#9<ٶ!nȻ28o;A 5GقńA+\X&u>~al2^,5~}=22-Ek6&%/q@Aq5H Ա$Ҧ:;9]ξ=7n-z3JK>CSP}nw;D?:bC@elF8 2Amd6 6&9aȡ$RIr3Y.PeP/….Tϡya4Y&0uø #dž;[Q ho03ȣZJx9 8'e"! zlhA9(3!׏l,>F&12*g$D| [,e*6]ߒ\GSF+Fߣ F0x2X>+C6ȍ4K0Riìɲs*+SV]'jC< -۫RU?< [I` 3lR[vpDz ^IT5FVӖG3|8Ny_& " <[ɗg  њe.rω2.ӏ'^ן>Tvp@ M ^e`7Pl*v(F[?k7yC]'4g Lt̨#- h$NeCG#)3f> g[.X^Oңo; C {y7{ dB hftxY~OƻgϯJ4l>5 EKus2/DzD~XU%+_}ɝQ6샅sŨ hcQW̸oHOә$pN¬h3BX60vwl39 ڡg,Ќ^crgtʊu!jU`T}W7N_)m ܜG'駗Yvn2sI<L:GQ:1Qp @<i !Z&ft*t6cg:b%k5WC6D@˴pCSϸ%8g/!cǞhk u]-pD"{+Y&v4CζO Ƅ67ݤTӡku<5֩3?|?9[lǣ(5Lsw{ڙ$+v7o46݃7yΠ [xgE+OH㳂}F]ϓ)nGvn6_׊T}\dk黾|-W$ag/w<9005D }F}?Ny?֨?\(u=@l%َ--w9:7KPlٻOtftύF-S+Thw P3CIXƹ"HS 7JhqBp/$`xZ]ÖcroߜYKeg3yљHHT3Xh\{GnN6l}u+6'4o%C|871Yj%qΥMT o\=.2^!Eۛ] Vc9xX#I7 Gɶ>Q_fW-A|W<* V^AScW?uB[*>xk{f^ ?/'?T3bdcl&rVXq1=8ےI0Yfٓ^5rvoh.@ V<k۟zLfT4w< Z_u= GՇ7t8wrͣ7LF6D Aڐy_rrƖildM&x _sF}ﶱ*Iп#y/{!;ޠ"6N[7+9LhQ$enѶ.{υn]mk|kKf.'fL h;7dIo.+/I |.\>j<&Wj4Y2K+wt`>}M`1~dǞ\=|%F7W?FM7KU Š\ O)z OR-C.NLW8[{3pu`O(4ڲ*c(Z?.E -U(# XcDh"p& ʁS@'[>3+r&]D-e0O6/L ݐ"+eG&Z3t V 1,ms8k^ %8(K@D!rDvhqųڶ@ix P]ﭬ 9kNG6$V= yK`{}21ǧdz۵d25?W&X :D Xׂ\Ptm:44 2 Z4i22o >m V6Z{'+l0b5]dhSI `hH@̌(^l8'H<}eoF蕼 v'xY@8pZ03K9~t?bA~91c k~klSezc&hٌG}%Dz^"dGs0ek}n\IO%$5m6qud\+K=!_YX_N@'xzv͚w>zݬKm6 /ן3|[2y3CKFܱ{fY' ǽ=]).'Edێ=ڿ՟|29K' $"~,{#!X]%_RO `KQ{n ZuBzn&и_~m@ W:iѧo`Z=r+*\Uם#AoSZ >g̡8,Ё4p38Lwk)g<%f$C|&Y{%#:Zr4y򴀞>PV,\Fp[]0ϝd9v` mL@5q?wG2ыwusĂ17XVK?vPҾ~9m/LˮtM$, `;O:~kϝY)TsKm>و@ `\/6טÆ#md^GHGnygJeL'k~^eSw}\.i~Q];8&W]O6+ViP0]'Rl'Ovp=cyT`=aW4^6, e&\ӯ?%9̇C>i9gX}hx0w~uz<F;Hća!X+SG$c1:Qoe6INl ^Gf8MUy#dԩ}žq5m_i}֮VY+o ݘ1d[˂ȲkdqYYS(@IDATz$໵I&f9K 12:Syɔ.:dt -}6~v'hWh|YQO[ۺSlǡ>c2%Py :?cZA#8(3ݩ}pWunT*l`^t$Qujp,_\ w$zɗZEƝ%pI`:4OM .zuu+\}>gjR)M#JͤIGB;>ad<4dJblL#kf_rKdUd){px\SDg| !eG @ eu=Q. p@":J2 [m;9"dX)! i:{7{ڸcv. k֩ Lf-+L{|dHpduR:49G+srC,u!>Fʊ%82+2hyUj7lR7+b6d{qC}׾qA^eZlK^9~(yrb>% [j To!q8!9{92dIm b]{=<$ 8dʁ2x]am;4 h#= 12"\yRAF#ֿ|p4p[ S*L5;"Xd3yG ҿr4nd1vdl'0{qu+Q0['iǒhQ}6|/~׿AX2!x׳a}!׿s jhː$J~ DmdDWiYp,zތ,k I_/W?W:XVHEW?6 |߯/eG+IIW%5m-xdtvҁ!'j:>CO%u6C=Ӓst^Ԏٺ OJRoD{ZգV+N41Ne2nyub Qі+}NF"6[m]=.FtJc)#H նq3n;9+#Hh5HBUp/~&tP5yZgJuNgTW/urzh%;}N.jDA~|s U[wQ +ZKtD0 FdUiaO6cxWvm"?4!a9sxޒp`^IGok݃1^ߊt&Z2l)70;5VGmd3WO<GڷN7ߘ~)1 m: n'5+mR3}Uh.X8'cK2Δyom[;$?چy=:(VFU}oȆ1哫xE L=UΖ4N7b(xڹѭ(xG=#g,i%bOO&&; h&F}iE-q `8rG +/j؛U0zwv S@SGgV?^$JM#2LL'Ґ5+5)%3UeqrA5A0 hrJ#d.=Rh}Ӿ lÁ;_[ՊqӪ s 8ȅw#iF Y.'Uc2ǛaPWN$g"Bl#K\ Yq/CUaS6$?BUfD*ۓ.{o@12RrfB(G3 #kqS'50Nd n.#ArS|7h6]Gq->oWТASbpsڬ2|kFSNUI XRnjW7'$}dbWw\o˭1H;;p3ec2A:O B'0Af3iK'h%~{F nKFq _BȢhq Ca8M`^J>hxE$Jn<^j=Fkb,UbOxr9(<8a۵lA2Kj|j'?4XR*џgѼ_iJvhQBE˘-E5GlTdߣ*Q*$8ܯVlpKgۻ z/`i85YC'?Y@uz㖍;w_~JP9Lۡrjx-(ٻ&Cf%/^磎{%‹~ӪO30~_I?M]ߚY.8޺#mSlE[M ֻNY2٠\`;xꞨt{?h󯿍'wĢMkɅl5P[u!)q͟_3XnIJ1t2~c;E32ޒ4]]!VH`mct-MLr*0 mHvG`% ؜0q26Џ}e݋yVgt6č1hK߳Aoڂl糒Wb*`fᅫ;eI? %K8BRAV$`qCbgd6V2~xjcf8Zƹ'Y ad!7`%; [m|/Oy& \*- oDXf0 Ќ3Vٛ3ӛmjk-<]gN0rAٿխ3Dck<7 (mB{!:`q}To>eDcOV4gĹ^fWGcK5/Qt+~K9u=7pcXE.|^܎٪8_LkjOH< D?O2,a~A߃|X18'Ep7IMC8ӡkQIt:~cmWrȀ^j8,⌠:>ZVpagl%Fjb B<7 !G̖ =:<p=uߵ6a~ϒke%E:'GgՉl͇-5IrW&{!*}~N9od܂zs΅_ώ fY.5 B$9إE ]ۀ^V`lv`0~Qu<k`A{,IL 8#]; ډR `~_zw}ądd yv-k!-<wZR/yck7}2'(Ցtζ#%7c,%4A΍Cnb Ho>u.|[C$~MnvBcE`~[ jDh|Ʀx'})H[vh~tc VYA$]'IGwpһV/8,Pl@O] %k^zk=?_=nΉ0ebZcI]p◐y<s*hXC,d/iKoGL:`Id_~ë2eN}v[I wyOb8̮%EdmB1^}i겻/gͮ_ͨLIi`gY\ }H7MD~Vk,<:ew-2@b:1Pq :˟ @kwX28}_ثSSۣj[|rcp|v fw4ǟ^8^b䓳t1c46{}h`L?]#Y V%qТxŎ 50Bm1&Iv|J'>gO+1^i`r|8|^d7qPO7{K6&QdneOWw(_g>ИvP;GBS|%]`_ђHwb y<k`xےKh#"!F t][Gou@vk{tkضGﲠ@5.H K][}cyeO;E~]W>Ej}bJ,bĬ UG[ 赺 x| h5!ɇ1ڜkBd44R5\/e"#t 1Lq)|%NZ!6XYN(k],kّR|~6ORQc #Ve@yJvyJ)SpYv3XoL33teQMzo0r(}S&s{xy>D8dNe]9"6shٳg lZYyA^)hXY 4g;ɨ Uvڂy j~+hڐȀ1l +1\ffj=|U8Ϫ9 tnAYLj?8L;js V֖bDD61_=~7,䭴c:nuem@ `vnc9%Ny}HܰQgԇG$ 𭻽j-l]=bJv@>ӝ_ ,Ʊβ.~WՋȋΞDEpDlGYz߶[M2H&8yR/xI GL$Jo\KXy2vͨҰAm~trxCnD{f2!G7bhO?ly8Y%Tn's l)9qN;ܛ, kN󪙘=iBrQ?M[,JdĽ>yx 2}'DA z4|@ڃ a,| Οyي߯*/<ңW_'"._"=>̂زys6~ifgZ fn~:h:?|Ϙ^_5եogl:A {rVOmedD U^yVc7yժ7{DmVV9wϫo,@Uͬv(] (+gN7xN(\iEGU;#Gy5D.,EmTv}c, rs d";7_u0Z!=>[4AkMD%p);gLI&r^{h Qm$~okՎx$M<7\&NoۊYi=!%$(HzMNk Gl^Mj8/~4[)/vRI ݌Rk4Co]W7 #hL~(S(,#49JYp9]뀌DDGYU} %ʫ@-ۗ㲽ЈZs,mҁ~(h0~{1h i-rN,>`NaO3^C߷9b(]0n4!WwT-i5h7ǽ>-`_4hx܍teKx=AýÀNVn//iCPpO`y|a}v{uPLGJޒ.߷gr%ҒpchY3ڹ+K*|r#>vIrhlҁ ,fmSP/[IQ]½O~pVm~{ۂ\KyFG=nfY-S6p?~ՇK&|Ờ`ow_>l0vE2pwߚq!q{8^ͨl#.%hzWqyHQvi[E+M6ozT~4-c$גs;:O>JʰO[ Óg8ytrnk#j(IR^RlBw/x&~Vq`:MmY=EhdH}Jf%lс!76W7=–9ps=v"\ӱ`䁛5 q bƣ l>K!].Ԩ`2= QW |wDC2ɮl>5%aneEI.[p*(0Wɕl084]ڢpḮf}o]`}?p۠߷GmOih')?zU`?t?/WZN>iВ(_JV4;cN%,Хk~vd2^֨.>C88z ECtX6YD`%!QGxxFFwX)2DVV ꄠxk~:nrP!gҸB-w==ZWOAkAk?_Y88[-&>&-{*UnEv-PCa0Yxm/5Һ>F=Ss4ȀJ,C9&5x{Wz9-,6 7^&>Op'͖>pf QiYp֥/W:leK&R Ag>=ear+sO`NT?ۭ;dUtH/ahpj짦8pj 86a+eNŞ ʼx@MX;6X'.] z<0^ܡ%>@Ⱦw?!FOg`F!"7N<7FIX2_ť>kozLj#X)3ts&4R0VuTI]eP 3X>KuYMl&ҭ\ |Ʉkm1U{d!t/,76%4Ew|BLVG m28# 91{+!N@0Sq*7' ;C!K&22d{V}L>5:T6AU{QGd7,^8{pbHiE CC5`N0 *NRZf\R&5F` ԧAZ -!^--[ h*_Ra)}"/X.'>91f O˧]96EWNn҈J 3@!x/c~ap\dȮPMQpV&7xC+`s㇞99|pjo&mu=ǯ~I9ՏNꟉ!Mnh)/saDQ};)^2,<dAG) Fr+߀_v>ơ^cVWnXVF7o"Ӄɯ~rى 8$Rz9|@r0/ݽfcp:~=Ż~܊<W3Z"ǽ pO/yrj{OOoiz:oMi_˂/|]~)?òV=2?-EQhs22.ό75Y>L .:N<ݟ:9 [ٞ//:{僲_??xq]K-t{k^ËwͿn}ͥB Z"t &WŎgQp}e4!6 _W'e~DV#fWkg,/m*=r[ۜ0"_5],| ѫ?C&pp0*̤$xڮa^3^U6`V#O)ŗGkًך+h1;FB=hw ?f^G|SN߇گ; :͓.F+ ]xjRkSm=yq^O k6$,IY5.mG{ j1.>k4vFj޹=lU o؄bh7R@y[%>;H8 l!9'<3"/U#uÀ$(>>k.iS[G~ʆ|}H\A gզaUZlFAU;`RLanUD* 9GPSG!i<|9E$fz72:?Ǒ}"`OYI NAcL 7WGU:-mod|k3p0.%*&ݞQ"R/dZ\/кts߂bFK1Hy`\SՃep{o[_PTetYvDe0/[A(.KujkN/d+`P3kA3;H(}f{׮ WRj7= &jY ZۻǸmLԺ77r4RA68k<Mj8F!rH12Q@+bnߜW*]>^#݊ϔoߡ4LIBVmWPF8. 7W1ϢJA +o%4IsVVo'^n8|~up݄,<&62nYG4QNiA>+R!;; as(f[{ qtͶ `jՑ1`>`|~ZC~+;@|`/n }`25_|+8j2I72|,{l?h뜻Gr[M~PyD6w}[萿&.sr#m_vY+?';VvI^h9N>;{$>qJp@?<+w.o?ڽ?|ςz~ţVst T p2>zĘ T'I6ĽDY[U /~[yndXvv85f#D3&F' kp/aVp Z/f6̶F%`} ^ z|%d%ީ38?ηƂmccipK.ؗ}ט V򌏝6zWGْ'#y5؎>]ƸŬA1 cCj>/#-ݎaHF`3+`"}0_V<mБ9VDa V G[M(wrO"770x ~xA;ҍl=؄IcjOUQƱh8K";p$@GSn ^ìh`=ڛ;Vn(X]uDs4VwDUytx6([~i_* l<c-Z+ 2юěoۗ5uk61HMz;)xǗi4>DI=N 3Ac2:SXhX)q82jR/ .ݗcup9Wj<`@;=ysO_mWygT, "ܾl w)(82 }poWڜq2[5H n:Pߜ{3ƪ]gߴJ&i| 7atjwV+VHDb'H&˸bJ?tǔh0OpSDvĨPAۜz^0H7=i/x oDO? _k ^J1d @@yFG5fe?dM$.52Ҟm9ev`30 \gWwmpps6[pFxgrGg(s~92 lSxV-S "{gs6ѝV;X~'j?~i歇~> xQ_жU PxKƻ* 謍58GPч̘3]oSxRP1/Gfuas6WRޖ2O2y7?{5Yq0§?xY cpIWlavzo?2jCq|Qs`scrNS,W&g:`_eT8 }'䌎jW?E"]}esV{#txG@7,%CnRcL tagq%c` uE\p[ҹW=_]߈Pvu[oG]zSeNofЇõe_Gb^9c3!Y{:W9uL#=\_@?&xEtr q lG<[.6J:j\T Rh!`IQm3|='Xh4zeJVf?Ն9]NP9rՓ9:avZ|<'`<,[Vp4{vVO䶝/~?x.{{$ezo2_mqr- .y3}ᯓM{SU`4|{ε1^6}72No!OJ j㝾To>s3 kGw`0UNy4TN7Zolzd_NCh+HmWٵ[+ݰ}LLH>TNwG5 g*L `fnL+<\a}^3k:UG/|9tސy;= [X83-|7?&@k$(@܃<0kUp(?<72nYgL!H;^X`)pB _5-\+ֈ6SGu^å- ㉾# ֔hv9V9Ybq@?/S+ɉc6eJNoJP96cTL JWK9Q,X!D1vm'qg2$V@ՊȖI\;0UwNGRr e:zw L ۊ|e.7ƽJ$A5)P ")[tf6[ Vn^gl3~D_e@IDATf\U"&- F8(ʥmeuWkȨ|ޑ5n9K rܤ=}a 4ᴷ=D;Τ;9=~WKU6xNǡ_9Jt"s8!jQ3R2TDzwl=.y18R{KWpB|e]~8,ݏ'njGp9_ʊ`Ngct:jy ?|~kP՛q F~\kWYڶx`JzPaM9G}":6[OA}\r{9NSa_&C&УJ H*l%fSm%~u_1yPVO>W>:sG{ڪ'g n}~u:}/we*u9ď^]a Η"C1>EO>Ϟ5x.Q O.> "32>mmSGnE{ y|׵tvzA':OBB@f?>]Bq~rN{bw׭ߪՕw;z)>@V`VO'X朋a1(8[qr"8|}UP>vt{l 2239,D#^o͕:Map]  HKPusXibVɑ:1'#.7o%4^z,F0`c-~~>2S5"8i1Wg.ѱ\ÍwzKmAxw6G+zikp|W1Gkܟz ׏~5/͍xM_ѓ;N ]*'|髙e:@21ks"xhc.%'2zRs^/|6Z?BA2STg;s>Ã1O|_ ˤa$M]5mǬ>vޓ& և9n5z6 r@;\~K#: uIz{??Yp~>v2agWh3/N}mi|?(?'cE޺DzLH.b };j{<CӐ],LSea̡V<G?0ǣ5؞їoöѿ6Gde _p ;q~7p 5ט@,]#Ӏ޵,O#hl YiK.cQ@~O{&ӵ)0ը]M9ݕy_S╫2k9?~fS_{u4}b(WeoE=ږB-bUvj/]PV.XceN_NNU~몮ӓ5%0Z0C6Rz+籭A3tf&Gi)MroQY(6ds@N9 fX{N3"1%M .f;mRp I;0mz-^u4.*upNNKg87AM"Cn5##só2 ^)mTf~I@We8Ug4r2JIyY*a<'dlbMSPg鳃;鋧<>k|3<_"p+؛uk&ed)l% @I6?^LV7!_&[w{TH mPM=~ФTw-.uOȽ ?V/{K78M0++8u?`(CfLU#xy(q]rRMq aClӉnߗ.s$`U" `U'r? ;1>v'tBŇUMX lVݓٜ[ ??^}QV cAM+N2EΧzsbE^+ʤG=!HNw699~t現)zG`Edh+[u;:uO*l'^foULU#l "=#+q{W_? jTƧ7X?4GӶ|x#l86%'HMH{9U DmlZ83ɗ-v@6g%9e.1ΥFڏKˍAȭxomW7ς|i}+;q_p:j4ڏ~Bb(@:EWU}*wuͯ3Ky9PڜƂKV;$Ԣ~6nn\9xV.7P ,-猅/±)+pG}`[㾲W`~ʫ %+f},YgiV3;@]utW ?_^|?xY/_5gҭ9wo8Oᦱy|9wz}X?_..J9F$A@]-hxs#zo﹡[=B>o'WtDӗ26h`nz͸]6#~<6>";Q/ʜ:@UAf,ؓ@teOx!}p0õCmhîkM C/ Q-\{𒬑W*>ԉ_wf֪Lso3Xw>Ն1k#npkk?"NC~p +ᾄ¦BN6E*v:aFU1gLAbwuTmE()Q>VƬ eRW/ 4'nJAZ-s1LFgtﲜH0a*zb!bZ;Ȣ[ŌhZu{羖6cc2V (0xiN`DSa׸OpƤka\Ϙw/'SL K7' e8ߡ:N ct׭ ͤ;!hT#FHD:|} *ჷEo;NjX 2-r7xE]n7sVmJ'Mosv:fk>c ~y4?NgU^QtnԁwK|?E `4iɨ`?w >%^EM H]tt)?l)Gp7Lv^g@z׻9nMhm<㤐]5r'>FўP`[$БЎunR e"ΛhY/pB{Hx;AV]Z@.Wp y {k'Wy=`IJ gK(ד!%|5:p{]ۓ61nOۣqrӝ< ]3Y+G\9g=W9dgr\JeeŽjXtxYѷJoeg;6 <AYN混6\.^Oyu߶V=ɐ|T{[>zeh< Gxuh߶[a;v^ %#2(+?+7_]c:+)^y!~D˥LpfUAݝr VjI\:7?ߛV+ S"y=uiƌ(rt:xy0dX36 ~~arO^Xf5jɘdl*oEX''HX[тYV:) A.ҏ>ٝp*% vԗE(|CdL^kl':EtKxm+bwx:2+uMV>t}1?_?X@\`X?+>|k'SGS*fdpAKзajYE|F•`Kc!׫Ǘf-y9i)2nD/a^u@gN v?Y.g5 J{_h]P*[G ACc?;vkymNn-AJ[lҮMo޺߼\%$gr7A %ΩWnpmdۅ3o=.H2j'\;&:!m_ "~3Pjνҵl}|;Yː~͖-MA% 9sǪ۰l-Ulz )$UC Yя_c\ ̮xI>W[Bs~ pՀNN_z>LmߙâE6Q{5е(Q9*g,ZAYA8DôL@W@sʒϐ'Pve'fM,cT8A;g5̫T@[xKA?{Fxm%bi1C^2)l`AT'Bs/Kd{EFE63Z~~<-0:I}5 @ɟ!B*J_fzFH(#^e,$%ΊD*LdH 5 IqUhꀯ fp#> eW/ MCkp^zxf4`ߟ]=FpJ2xT:/牡QQOi[!r9󦀅zV\ۊqNebD}]VVTE8AtG_,}>?Xk4PrK4)'}i:?TinuJƷR:࢔w)>-(pN99Wht5 NSVFf eme>kc 㰒9NWoף 'x" : qӖQ~6|Α}Ͽ2>i$/$/8"p&ȇht3jv:>bB4ssm=0s^gKʛ9s' Tz98X/e/~^]7% c+ ] ~s49ŗ m7,=Azj?DD 8}0gGJƏWMH*A~N2"w?l^Eoo pFȋhp =tg| f@8eP &0(dK=>kk÷-e^O? ͡_'NNG's@Pޯ I?׃] Sdԛdp~/FӶx# 9'nN]= d H 0@[e5t O з !vS8/CN9]6W'mМt5+7bav1Ϡ[˿>3Qqn=^;Wə8c$ѳ<}v;2GpϞ:%hD9r`D U܃>3AG$ؼMov iKI@ufm|\Vr VA|֩ ^OE6_~UyJH'{>Zp5'\nLzG ʽl=I|V=Hyҵ菿DpS1p'WvRN>A}!y[ۜnTjś2ӲI7tzszg2ltLÚ^G7]sخ j|>˘a⬿YhC\*GC0o'x9}gYWEZLFw)f'|7m<ng%n_`7ƚm1wm6TDOρr1/fC  bZ}3:WY;oI!pRMacg4^}ZDiL}D尩ۥ}B ̅G".BvN@ߧt?!&G;I`]'2ΫI\&optp^W0xʞl'EH'+{| '\q9;"~],˱}SulZe1#56 x^&ag,ɝꌕhfe?w`8⌢_~Ӟ.'? 7, (y#sk uC›Ѯ>I5w_}'O'ߖ6/bO_ d+<~Lo>fH\|$9 6ի8%y`ÇpF~|y<۪q{]c+zsXtnÏ| ed?|xPPp0_/ޞE|$u#> 1l!(00O Lr  !kN A5e- tҢ?1]^9 & |* |D y %/ECqh>_=m+' VؒMcQ(Z;2\Ӆy.cv;0>ݵ-jU >馅l0h/g&\,y~5Errb\e;e[vudU=-4Ox==.`PL%q~2=G[D~0~)ieWӧkh#V8o F+{T&(vn&9o]!r3;e2rg݃/2֛^&3 BʃIwMwL'%++^`ڴ9ܸUau;xJϰPѻ;tų8={4Nƶ 2 SPs-)ZU|z,hq?o 5b {U na=7A)תIG+/(eJ C^$ (@Ej`NQ_x*#c}m&;^f_Z" >*MK#c'P ioIQ76mÁ<(DJ;o9̷{9ZU+E hecثc};)5ko 偬5ɖ K2<q+01=rĝ:{ )#N8xU^ṽR:l8T2.6~>A@o;~:/[vesjyպz_78, uV W4&x͡v7;'?- /:Bf9 z:NjApր4^AɩP1W~ l> 7xs/#O~l}fKW82̾wO<zwñ@lU-prӤs+zs]En@r^Tٮ$(an8>]zANA]f{W`'}VcuG\4̆J)#cBՍwkң{Xr]/{5b|:YbPPVG~cx"gcԩx8!#gKD7\c՞A6֕OonX./Asc ;xKL{n֗reH7>`6n{erjIhh>6_\[llAik,cp*{ګ1H#,sO|hGS8 < d2jYv\]V>Y/[|x||G|_q}"Weykb4xŶ= v'&[NqCщ.ϳW>/~'Y~.s9pw<}[lxn]gno^Ip6`&Ymk~pᗎR׃or ٦tZxa,oaM0M'rCn:{tiGzhZ  Papw-! ೻`yt>^9E4݊|vJ 1k8H%鍧'%b{xݏЦ_p<{E`Mk-}YU7خkA2ߓ 8W?+/cpGq)S?AN{(G~AqCmaуfL`.s @Ia?LGHD@˚҇JyJ =ɲ0:u ]#bhA; Orh%WWvi^շW97Njr[tڪ]zR8}natqfa3Θ:$t#y H|aV 1v\mˑ@ߋcŌQ|T;; /!qgCf,[)'K'ʎ@;9Ot0i+-P"l/Y| Nۧm Go^QқT'MfxsAmx3ouw$x+/k3[20aY^m\`/hhFzfl~ҫge<)K~#+djroo7#4a~`W2^4V`t_It"9]~rYFoTOZvSgsIOm3oZltB;XjjlF{ΦGO_cL9i c*C/:̜/PD [*?i~΀KΥem:$Wȡß7xcIOrm뫎ǁ,97>L `6){TC}ox~֮MH75Et q3Wq()K|[ `>MnsL9lU:SAv~Ԁ:;W05l,B8kƂ9񸨪q~P}=#xV##O!VIA?ŭO Γ0_Xxt0i+Ʒtx[}x`rg7)Lg8OǼQ'G:GvFGFWIel %'\t -g#hL"5>ޚW݀\ߍG?}ֆ *vHw>Qg.zVCkKpuYFS@P_V0L4E?зmnլ&PLeŷ^@-h+eM7O)'k=ޢ0,J.4ާs{ZC=tVV/3S7/.? C%*ڮ~lu(k@bV\63DIC {ګMGC7mh;*EvU7~555dOsiU{_32[&o_ud0\5% Et]E ;'3qA{W)Jc]KZ!Luv+&l> hWg3"-8=pJMzS KNs`9AW֞`f:e\1{j 8E=eiZSaԈQD>i|3X?A1MD7^Yyg2ҭ^pJaWt8=~AX buUkx,j[ܓp7;m}mnF5TF`>ou+̒"UjN7#X_x`MQį>5E7s9y Zeb<ɰEAp"U&ýe1xx 3 تI=N0㥡ɉ2X!D}k%A5[}!VLo|Jb~ n9 4Q0{6Qe' )~|Y*gʅ?+sP xh5gO+S΢4K\&sW%A' J visvz*^X52#8٫8 <Gws@NUܸ^9?mArek:~b3GTYsr pdOi5 ǔl;^}8:oتm|$%-ѡzkw|Կ- }aYN耻( ۷(#Sů`E$_x{v!T>z,弁tFBA3m,X vNd㥆q 9 H!|WorO,g7yroMNMO_/-;tw髻n:nwn^&$>u~P=s젽6 6 @p.͕V?Rf9gp""Sp.Hl2Le%jȈpF-.8ytk*TfmxYfW7_u~Cd?LQw=Md~6kx((p ou3'C6Qڋ]>znEx't3Qw74C:Z֜I{dc_+x$NZnߵK`rfP7C@ t{\oL=tstuz b4u?~+}'~'x<ȩ^"l:~Ӭ_]|1=;]o0H~Mh x^EK H?ݥmW+ O3T8ħAh\NwБz fcaU@|W~z.cx>y1)wiX|[Aw^GoDfpEzhG>9\7kg_%"W3C#ceh`IVoqmФX1:0 }7$*ֿgӏ>܈O^76L[%bo9fێ!o~ q|}/[c+ʟԧu 6@ Xgs"œokHV68DDR(܃0kIؔfe1NĘnsԝ1\317Xg37CH`aR M}]d.}Y_ pl qF1Q;_VS9x )0[p<ܔvJ03з8Eˠ `t@y?˚г**%g+mXQ¡])Ε i:Zu8?W2q{]r ŶG{j1 鳭HSƽ]zr‚ozZɳs2ti͜):#I^|}{g'nb`ӂtH)tZͧjq 4A 2Ǿ6LTgNTx 8G(,Ϡ=|bh<=~P #7|t;O69rZo կvdȜy stZ `ȕq;l-6~K»-HTb 6.5`A?SqG .1.uS+C/AV0˺l!Ϛc#}'fԖʣE@T0'yNs15Z٫@({>Xkڞ㔮,^e0M4׽K/5rK߆~ I?M7GSs~ }rճYXVR0]^Μ䯹\k;ҝ}7_ Wޢa=az F #I݇JSYxMtd!1[ MEw>BOGܚZv4;%׾O[tPHw[~e+QO5a].zLROi>(0v3.:be<0K݊uu7 FX8j bO/xhG6 tl,<[a@:D+ctI%Vh2Y\Sٲ xyX7 5tb<{[Aev?~[^Cn|sw\lDsXTfqUCPSSB>E.q2#SCh"Azz ր8V A!ٯCLt@ʽszF!Fr{l f7!M!JRÓE0 } W+p]ggEU)x/7v$n{ORiՔ1" Ԗ7Qא _( :ѣͳ֪/#4:wd[RIQH#g^ w71Y4q0JW !6| RI +Y X.sJT‹VRw3Eu-"q]7p~TnϢ p7gP[&gL nSel_nҖe5+ $2xf+XwCxA6PƯ-,pe-X%3!jf;fSMZX=v9/[CWoC3C|kRM}J#3 E|a7 zݚ q7C*GaVwP<.͟.XEH A0?+?q]+=p(1z-+2 g/:`XҁmAaj|R})MH''&i%7Mnz6 թ:b{5qWhenDV`d0y 9szFe;[!wxۜS ah:.x=O?2vv{ ݕM?,ǏtI xZG-tQ a>սxeo۰7e_w@ߟ._,G0c |p |~G11گwv{׊?=cU^OE5b 5˘4v~tgW&qi3J8[au0 }'/jߖǝ @gyة?O\@94O~1jKtRhSO><.m{}?}\~Gy/wU[J70B9u)^'?,P Ws6{<)xѹ_4o~%_vyW/~qt 5vD].hf?gTi[<_t⫶s=x7~_VPcHݓx'^ֳ6`K~y|a^X5R_f:[xI:lsZp Q*/!>bj9öme2P(0WƧogh2u0t1vL`QPj`'|᠟X먋S/=@bWkmLW[jF א[=i9\XpȎbWH;Cz\[Okl^xޙ3(Tƾ'~'9?T~xlm=VLnԡp98:>㔺y"K5Pf.|Ž7vHrp6 ^}f] m6̙oGlYi4λgWosmUzʵv'_[2+.#+-ѓhkv5.h+V)R<T#-2 69E k }Zwi<9 '8_9Y+G_x~ʿ V@ A_</ۦMfs:lލg(6Bw3FC:ō]t[l0PY?;(Z %W?Ot<}F7ʪ|Jj1t)cM_[pjz 1^5.^Z=p{6Gs>ozaߕ}Et e[|6bQT} 7Mp>}ݾ ;P=&+ P=>FAS!y>ziV!qJLp)>RkbJbpw+*oJsU yᶲ01VR_ƨ7m  Ʒ$NǘR`8SGV[}x5g+ƘM=813pfD b[ ^x9:\^7IH}w}CY8絉ss$")PGp,% tg ޫ }:gJ14da$=wPDm"'7)6*c6šJ~xS`L{ܮ7qF&RyIw~9yY#IO.iRc;.`)f. [=~Sw0hdAw郗{=zazųt2 ̛UAq/:i{]_}ګ8\ wD~mtMpn )o8!\4W'e-`Gj]r"ĉ}۝`[!{H1/~Ƀ`:j#q~f+*A]rQtw[曶/,܏=o} M}g90̣ E79M-hNt* Wx:HE4z ь@GwdAls9 Q iY^o+DZ(x9[pCYp_󓝅DA8IiiAo`HvNĜt0G4y[A=-hǝYkuQy:✝  8ə^JU?:ӧ #`WfmClKIA$T9tyMu+sW->= .pJ8б +0"C-CEZiҍ?7)yOt]zJlTc+;ƣU5sϼ!Z Wg@'4܁\8ft+4o}jsm.wkUpx6+=;[j3فכqpC6^ / !vȁ۵yRFOar2)ŸkZ0s u}VP1>GI165$"7l *j݌=6OGɄ!k *[üiMD#AX&3ڵS]Bc()">., 3@kAݿP.dҬR3A\ʑNܦ(V鬲E"nQ}&ep2qN&afBpmn8'.Yscĝ 3m4{)Gr֨"RMKK4P -[-J{)90m LGq)_?Lb_D;ZgK.͔qʤqwޢFp=} ig2I.bSE/ hhѪ2VLYj/]We0j nGF} W9"Y24q6^{sp*d(8=/͎cﭞtc&A+Y뮻KsEq'?yΝSFDFf^¿,oQE[ e6¯ `F$Λ O m6lq/Y1Pxߒdr(CZhDr4S& hY] .4.iBC ؝n8F7~G&f$v`mcdpo;qF5Pv]^_ZU7Cgh!I~ <pMf&whZVs2s=޵jǩ/s.EiӋO?TfI P1"^lAܫ2IȳyϕM=ne'nu"̃wr>ˋዋo{3=0kmYB>,oz>ipxb<5{)fMnp-vA9 Uu>i)E$|\÷UYcCګv4B mv2 N@)lnmς/}#@,[Yj!pީo߱L$:^62N9Ȍ)y§~0;Ll?Ȉ1QW_mf㽻'(#+A0̠VޘInӱfm 伛N/s3+ 't/^ϝ]~1ܹ뽓/D}~l ]OQ5&]0D9g`e]L)N/R564f5py=,h.qnc\(e\|]#ű(fCp}{$96 Ocan bVEs d%5#!0BZpu0KCJ܃lDSFposiubCE'&ENH@PBO2Jrl1:9npMCu$ =6B $Dی]uT~NhֹSps/0`+'uٜf]0)mo5-- g1(mdq#๢o _j9ͪVqƫi 9}wG9H A@[P/A"w)XselF%NM:Ǜmk*<7ݡ[Wi`R׹BZ5N.uޞQlj:f`Y:xm~Xʰ#g |(qY%'IOeؒ9ss3ΪG}i̖lyT92w;#"VJum6>*˒3 {w{'-:GV[&8l3&A00',Q;d|sn=|/.~^H6pA6cIGa2; Wתy8w~GYqo$ᕤ>-bLn(2 * ߚ/tR`;Ũ4J舀 _}d9bgd llGX'pZ:G(N zG#oSEҽ}{w<,}?z#FUW^ BTӵk 2:X?/ Ce+X% "i\ < ztG&@|'=62ha(ftf)\!8m)j[ٛgt,%76I Un8 3 B;Sb#,%ckGSzwu,L.ϜznN |:Gx Ud8G:?Tqde.ݓM&ɕ =Dw$3a"t_H<{ {N@۳K=kgM45֖ ޮdܝ~ G^^Kw{|֦g_|Ս`CV6K> aQ }wñ}LR\78!4'Spw6j<O_jrs.];_ջ_%m>1~~n7=E޵KUn4zفheZ?.~Cv Mct&炑ML֥}}2!'~=9' <褣ɩgP=t<|͡MOn> ƒKt~h꿟 }7G!zN/Ԏ,Us8.5WپhG'|v_*¡J6X6n!\A{}Jf9oZߋէ4@_Mdkj6jk+kdTt|iiyXz̸&&\%?xU.ug/Ugj:? "Ж$`j(Q'2N*t2@p )q}71 BvoSQ7-ևny2$Yt_32MtW;}'gvISN s -Gc7; [kWwrÉCxD$VZ`<$[zRk#O:,A=p(pHpXA`m`iF]6FIwtu Rd곲ԩɈs{1x(4}qxt7R>y׆,m3%Տn 6È~WsypZ' >mў9 [TU9k>o =ճy-l`87{1۳3 W0F/p8uxlʞl-O+Z,n*DMhb UׁTiꞇ?5\PW&*ގQ^TxB ?=C1HR'໺m^N~q:ƞ3Vfdh&Ao\|oփ./[f^Ͷb3vcQlWݐoVkK@MM\wLVBHA5Y taژ +=ܸ35OΞ dy z{{!{v괺v|r/H/>! Fi|CK2rv4|;3Oa&ctmzk߼L|yncDc*<6nVMA꿢v#{T>yBteSt7L4գd|^uuIA`?^:M7fԞ0ZyP#=kL3PS-ϗ̉~ r[:r1搀9TQA1gOu[pjcpg0#EX7X]ZO|Q&r!z!^$cڇ@{>!AV}i4L0l8X &ˁ.,T3WͰCkAͽjݬuDxLG]K︙_7#\n.5xr`ݎef5&e~z$~ŸSXg` ~jl㲊U+ 2 ^tn-#O K2\c EZ/2_>^@`@nNK T8m/0Y5-}EU)h߬Oλz}3EfE"zm rȍ Jp;<|np_6 xRK>oŨ]Zfz1D'2Ï?f7 :`2LAf%l"hPus 8(8L_׃7Lp[MAbDhó *(&Y>_SkKex F'*zp<Nz~nErI\-E^i6纛LnpqZQr%7K'Lplfz`{lz J# "sKFhǙT:|_7HЌV }Aazĵ>_kƆ4oY]ivGNp}OӫͲFL{߆\S)o^_`-|?:^/'G#d;O߸`:hƮ O^x}߻W]<@דE)} aYT'XΫ>2}{PG2gbctĉZ3xvw6~c5wFJAt)Z V>rzU=Q'엎 A5^л{zY7\hnP}َ1T"wp@3Zp^e]U?;Lq5upR`dDjfepWWvÅS}W m"c]۰i4H\|~17=zw;7p `յ}g8vhhƹ=&)dhFxc O61v'wtO9%կ|X-F[8^U_;e3{2`6*z2ϲT +λƪ;ݭ}uZ䔿mvՓw}jBcB{dx' f0]xǕ}\WfS+4n{?wW_ƛUO+\&7Ṷ̈́@MtNcx[0LLNqNV!&{Cfc^'$dV}=[כ a՝m2Ƃ ,mܨoYUW.ό 7X$50a wNƤ1X h&HI`S+vX7#(2rZF Tfw1XHS;;8&ZY`:YG5`p ]A+x6yvJ91UpbXUv:͌Z;{Ck3/8FYt1xB lFB}5+>{-,/5pB9FL4 Od\3pL?[?u_SoP4pQ%`fc0GF zA@s/{#.K:ÝlnwK#݃O>2G1=ˤfpgP߽eW<Ѧ\f6=Ā盡}ьzvT[͐Gi9R8ok-;Q6Yj4ȿv̟IøߕfⲶܿmS<=;3ҋI|~NG ]wv~P_8v ;˲#>]' ЛtxLs8ޣ[bdPAgUPճ rUkO*X۳nWMJc+o|Nޣ긄toPU*7!pQ6M}U5p&`>:UH_=>.Q3ZlOd{eTq)昐)\ mf';#:/z *y;׸5cTWM:ތel g}zw2M=CPlIOMWt#[/,[q ݁ [ʣ;㵓Vs67̯>w4d z|kیۈl|9Kt}﯇hI|M>ؑۻԦ mL{{MT[SoD7pqo^-,=q]-䚌VaU'Y-^z_'*cSkTd˾n#eNKd7{ c˞سo(~U~ Qy=N:\ ^|_NV,oF{{iCˬ:~ ȼrkbs"E?x—3S؀\7{vl8K UlL\ݘ/z?fffD,$f 材"@LPc}Np@oA"N2Xqz4qzjvGBXFKB=&ϬTclP~+ف/.lϚƐB@ Vqf 'DxA0+ކW c eKce ?Dz~cNue;ޱ@g7F}zS:J'0wɜF} R|[Z mN6zh!sɇ6jrj , -Ou}\ : mǣI43~T%OXM^pr"K\8B-Nk`B(\`j[3:s tBA, N@Ufnø)0g0}pxer9#< >bxz3 r@+kݭ0{{e99vҌgi {v5NrA3\ 2j8.9ꇗmb_q_}AW:qPO푬N1G-OM>ə`u2/6__c=5 ::׿40 wZ}[w᭬ɯG3B1qd0hxGdn 2qƀqgއ?/pl.;Qv 3WaGw: ?i$kmQ~YA[:AI9_0!|یzNAF}JËo"|^6܍A'OE[ⳏ?*@Б/^z~ {m{މ =SNŃ~jP 1^`1r2 S|JLo$ )t[IY5)ާ#ޙZ3膜`|<;;!ၔ{MrGC2Rn`{$' uƵ7~3l;*ȆP>9$#q_O>O.9AFG#k z~1]Mv˞nLeuץ.{B/Cl@IDATc"j>(zڞwP6 ࠭:P[R+ȣLݯڦk"t]^~ɦerUZ?{uMz@wZ3Sh"'sjO0 9bc6^}3=Fpc O5yԏPi\]&艤\k_} fbC|r23NvGl2| ʤպ~Nmԩ165SPd)`ko cZJOx.'ޓͶ%XY>l'5 k>{pڬy,|̒llwySưcjTGw.z2=WxRt|K; WVxY&8_ῶ7\ @2 Տ'q6Ǐ:6 mQ[%k,چտM 3O6Ynfoog~K?|rbw()kevd1d Fi/^5NiR# .ǃױX5v-3۰R@)vޔ 7 D;Spwŀ{ܩA|c}.5◐Ǟ-儦eKlbkx8rwm~FmiȘ7ZgR..o:&E_5n-[exT&w72뎉8g3))6D^LY”k61WQ?IrkyD,؝, S$x (ُg61ƮU ˄#thSPa`8(L?Uvjr XqkLr}`Wlzx2>6d@Q™m#BXy!EEJ MeZq" S߱yNMm 3[[3y%n wQ1FHUڠحͶ5@.#%2*,/SmC8^xZsmPnV2>2^)2c kKR](O=gh?9*s231e 8m¬?݌h~QHNm3E }:3& #cmFt2s > M|˓7Gd}"3՝k6Ȏ zc1(R/|(Q{TSdCM)L2UNݨAW}YL%x;8t@:C,ʌ`jX/Ƀ tLzA!l F*=$NAݑahm p`{Px_\o :}F!8i֞\A5u.R1OؕJ}sޡj)k{)oYm~BN9.5^Gs'dx_Ό,c,Eà|Ѝ2 ?jpJlOhܼxY5нjfT֗6kvRwN7=^d٨Β^~ogwx{hqj!9/먾̹O>w-Gz]5jl}ɑ5f*sṇ͐W$/lYr(;ڟHx~ў*ls~~nx1xW?|,m1<,O4AK%lw˂wѣAxZz}'T e|c­{/]}{T\G2,e}>J޴/=jwaDQ4ѧXkOPCI=Wv2iO4AeP`%0Dz'bv\ ܚ1E)r;2yHAË $dedA d?1M*{AF,p ,z/9'8J)DxzTq|H_X{?K^\?mQ<t~d,/\jjV_eykXK_k-HE>M{#8'k8գ TeZoO6#ڳ-*o:J'E~܃]uX/^}1w*SMG?jÕ 7ֱl`hToAh`FL<[UgUU.ݞllzR[~#gd}F]NZ'+帱6*XNvy5>~}WО/h"M\Js0)U?!Xٽު`…䏀NWH ϼGLB xue7oz?ٟ6E;<{xl.{ddnm>/^{kϧ30GhqS x l\_ubux`a;dGeX[q;{?c9fkkz\v nuoydw^˿얥Cw*.Wty)?>vݲt:78o ,+;&-Etz~{f 4{84Ng6~UCե-τ>?(˲dN|nYî*QjDGo9~OoO.~_~{&o TFƇf 30g=ټ%=pr Oy,.FZ y5b Ys/Qu  E "\+fd0 ]WЀ?oaTQY;`!iF%4}ّ: |L TgMp(mb;ַaGO .fk=#ό 6H NvWe(~ό'3q׿d2mS(Zv"]C" j#o}^NaDXdw 46<?J8(\h} K*ӏm z+oh|gflFbrLքJ'5f߆7k [SW pxm+x.x&]*?c;ӡ.S 2s:sHM"(][8/ |x8.]EU I=&7\p2E+A^Nn -j{b|e 4Sf&\`CAz^YH>{3ν U6[( g2 dƀ^Z^ (F'ŗI52JoIۭRo<3S.W>?B12O[a&&s@떢gEj^"<f@ea1'{N/`c7R$ˆl=r(@D.ȞxkK<#32 7i2X,Xzx%-4]81^қc{u+[c_ōIQ6ַcIjAd1f0,s΃MLƷK橛lTA?5Ɠ魺 D~vK*g>Ƞ!@@~q+@!/<$n58TvH g{F9}g{ԴOBGm%8v^6]NgLcXPҞ);g#iuw~E Ƅ~:uQUmꙐ}dpc~/*e}}<߫ V}]`ﾚ.+MeuR}?`k ژ Ns2:nƻչ _Ը|'m_鵛f\'3d8яᶷ_>?c̷K6*\ }ʃwP W؛xˠPȑiM[h;A^[pMk\ o8:)7rPZNKz~kuz՗l_e9T7ǥ5}`)_*F~i)Vƾ;~ q.]/-5c>lڟN7lL.c`D3v_n,V]ٛ%߉/ 47rV/TYKaq3} 1ϵ-kIܖ /9e0et|ad57LerN0S?u1pdk nH6_;#XDlv$OlXp葢B ƴz k~ϿO%sx`F8-*BnL-Q(~1loި&aFþrIFmWB~.O(ƨSw/NAT SUzET)d* 8pappn%"|`&whT/:| t (D(lf0P,{΀08_+ƙ=ROQ,W-‹$b'M_1}EY^X >nHPϺoWw6ڔUg0I#M8qs|[3U?(͛u'ة+x^GV m:CK}RQ}At.~0FX5Q5׺2#xV;FM }m˫7JiR2%8uhoL^$a;|)8뜺)IrhH~IO > ptsB'#[S}C4ɭѶf?~}ve.0p&Wz7 s Pu/tKH?pFa>ǰ£qANM ^ԗ$2B5W!xNvGϦs~ [V}qHN)A`?Vy}QX{6{iCp[j9_Q .KZGfIYe/ovL_AMi_}h[?~hB@齜UGߦwu&0*^ нoafyq';eD>?Th8:8L8H{~4s֟[zIG6oI"| G b::i_?8\xse OG(#sM8%DjJ'_AIN6ݍ1i~=!e#]ƞòȧ9JۂDcpXz1bƚOheC@Kl8}o(Ip,AutN/h Tr,eEf<:Tfr[tn"]@Ύ,92eru.~<3,]S~xM<(Dƃ~ѕI"NO!xtAÔqߪGk2MnJwv]`Zk^靺6s;,ʹ'+j[+_= BH?f\|.YcvmΨKf920`h`$;m(N\߇x;d\lL7= /oEKϛ9zB[V[ݝ! h5x&hq3ϧJN@lA;r]x|^n^,O=w?.u3 ,n%9hS aX#a}|tsGNPL,]gR}qܫ:vfKndq=DwNSf̫_AqHKD«KeWz$CK:/nӒ>~󼱼=pnk L{4'x<\諠6ĞlpDQ ?LNc6Co4fzujf-y?~Fl9?wmhz=V>ccKnX 14+b)о *}z9ZSxQNsl}έPm,xA076iAAλm#`kP^#Np aHtRmr(>B 6TPq,S\}N(:)0 K\T e`KdƤ 8W3 ?}UJ 9Im,#b/i|SC> 9~[jY63p4AGg`nGgX[,>xc<`InSD|`(i :u` &.i3dS](^lV`q)  vw3/EZ@T`4Ke_5i`rP&0P2֌0wE(΂u}瘠 *k,p_oqO&vbAeh{DZtWk q7n%z fE}Y7ؠݮv5%3g8s 4$ǂ'~,Cy]l2dYK+fDd8뽜XƫM zrtӋ\gvAZN54'?5՜߿n62̫џw߃ŧ(uGvp1$̌|2ͷߗz2]ݷ\mwfGExf{ݢe*p8ЯoZn`˿=Ιo= p(ntdAajϿ,Z.á*9@[6{*4;㝸E 8O'1Xj ή]ﾍӍf/eYw 6oKuB[w4>;hb*52$^ԔJ>QCFTaea8kzϜB79z~ӗp2_<1S:4qًzÞܓ侗U8{+ߟ w.ao-ojO,2sz@Kr[Q/ |>VtGԡB-@[6;P#9kcd#iMe_ۋտ[x7͈9M#Y~h|샢 N{'C"ͳ}5gJgn=~AGaoS2[Tt38D(1r=@{<;rmڲOCu(Wj^ƋGc#g?l~*Mxw?x?pUx&Bƴ+e6R8Ϥۣ&Ga3:DdKw.[Jz8ڻ&Kda_#JpL8&nԛ>RƦ7Yя?Iِv[^<=߾-F~ZŽ$S@B>I.e4:&Q%SE/Ɏ.G]p&- H':퟾ӦbMyc(Ul?57m)Kw3E07d;xm3*t(sۺ:3}ʮw kSuWCRVE9 \OD uˬ'f.L+٬Im{L9M3T1c 1ݜꪓۈ:I0sD'' Ed4hDZN2bR9o)1SF[*&@kmBhxmV\ 6Ózl~"_z@#`'l'>! 3pg7FfH%tjA``ۢ])܊~f;N!a4q-eSVzOC,oo_q/C ˂}#a;Gi30A7r<_8WWF9E1`Û9%K>Å9֥X q(EX ~ ]z#H9)ڕU!z=h:V6ѯǝc4tcɡбx'mR 4Dn=vS`foK>?@GS,Ha0^ oG[ /)W_K`b_O@ŝOs?n3:GIYכe= e35O& GKu tݩlO?΁}kmm=dMn]4>meÏ1[VēkIf#n}˯:ݣfr2X[b{R 'K?oI6IȞS`@#{\.̘2f*n3 }lڷ5a *V,f<ķ>xĘKm>w]'_0p =:?G1 9Sƣ@)}?\E?(HU[Kx9!Yltt9C~=L~NzK }ʃ3:%Ҙ:ɜ'fe@X=1_(2yAAfxBpa|&hwÏ؎mL|`CQ# f j |G^9.$t٘4Cp%P,)(N9ݐ"oUwtx f-::/0uY=' 1G5X>O[[jP=KC5*:쀾5=|I{hԶw|MNя2Z-Wю&2:ƣ oҎz]PV v # }(1\@$}X1:uϿ) `~x/?v|'.;Jz-shUz>;Ot>bV>Y]Wk*ɣP62_i"PKz}C 8X9iZ抆tLӾeo/ck66N1 T|s\ssHէ2J 0^4Ρ_66+-#?@!@/o>gBi${w{;q>j$A/~\E8/dp tQOhzNvk+lw $[N]&OeԂ1T791b>{$J2/?_.dY~#O'dH'eQPRG:uER 8T^u,XoMS(2E\OzLZWEԼh36 Nn Jkne0C0j f3mă_p8 ߫5;~X'<@T]0Lxb/@q->7cPݯ×uCUh1i91N!f4qq)>nS; 5`%מ8D* vY|¹ֳjmK|2% VgS1UZ0gR8\pҁ1C8L+eI0qĺwslW9O/𫖍U GkO <6V쳏~{ʽ /N sbsg jd1lu / *w}_赘ntmK޵ 7x(8N`acZqlM/GǦ@*.AG'=?l''qO9fs33ad]E/63+8Qs8W|!D/r4l8O&i|0:(FZ E=*!kh7a6VKdAVƽ=1 lE.xF/cjD4=2pK?{2. ^[g|֏ { n}?ԭͪItK{=!pLO zXʝ_mK;A`_u6kxu򀾢jff78TW;Pkt5J'FJo<]tO/\}L P#E^CƛxІax/{acES6x y'Nf*[&mPWOͿ_,UJ)KQ1xe;NK7fQ 5y@F =;% ~Xsf乛<ؿ7|yjۃ)}vv rt 'E/Fe0qf!]~g+ DL>qvMA`_aornĜG{L6J?V? mmbWdzmLq<77TUc##T_rmςq1UT:ny@ø&]G_{jmNOQlyuުoѝLlYKVU- Xd<ؼz6況;1vlДv/8ʿ}.%߈d:5Ή|/!=nM\,R`ː9=<.tpZM)?~?e5^`P ڲiΛR)zbq&v);Zq ΅ʽlZdRFАjĪfwAm# ^'{Gx$a(|s1"d)B MK|JlpΘڧy3qs*H&}ʺjR<E @6K&!\T03`|"o"VzàL8uZh#gKnE 1V}%"| "|_#;jgtmW:7FMضBw̶Mުq3)^3[^9!g^+4&vSt[%)3;SVljn} N˨ytpGQXomBsy``3LMS"V#İAT&Z6@T)̌QAiO1@0>(%-?\eLHVw]+ؼO:FEfR'U@jeeo$,kɘQFoՑK:cB?8#K \<3MFz}ΔYmCAFI/!ofXu`q$_mƠT`0) vOpk5p2j0KHd r $t=8z 1яJ>Wp368|>kv˧q}/=ţ>_^ևw>̐9޹ Ӓ3z#gl:%!Aep䞗ed'Ifo7/j;cV H N0 fK{7Wm6ߩ~Ao/j?kttxCL`/;_Z~Ne@x;ed$wѳ~6 ^g<]'lfGgc` 5IߙY^4^ >O @XjM_-Q;ϒF-? ~;z&>g5ff qFOx,˂nx#(g.?P6FwpgSAhXz f>7? Vcbxn6Ӟ8܃ځg<=g-[E9@:3pQZ7a\W>v7X&7=N^o?6`N= 0w<4nOR*xI5EwJ~~0gq#ߡze#|{u5ә 46ih(ۘWd)vlMbO_?i,~QM~q!0qК.J":#IWFP(Ie5pBD_Nq\ %W1^ތw!ju{}o [N+\qьtiS?v-Z~\QWƋeN!np:'؀3|9T3o~[_^̞1F+!fL(R]68ϔ|C'Ν3`e/ fӳWY28WNP  DŽ,RZ j/7еlxPAZ+M 56@8]G=":3k5ֶR]xgJNQɌmP;|=yЏG7vIs5<·F%ϜPhkPZw XX#*.gYR@N/td,lI<ΨqXRz${F#` _$e;\.z5y6sF`D7-Cpg0ڝK+ z`L?I&/lY \q&W18oD{]̬ڸՆ}fd `-JIZ&Nyu_uhv9m7 D/˨/>ݒgsluX7҇?>~߇6@f.4"LK'#OIOߑe1Nw_<|7Q;�{?h/g/~"`PKt0ĘW~? n~?_r{iG=q{7`·ȼc=f=pO <<9j/52z8"BGe'LGtŷƸ]/'ºUFcܺ>N:rƹmN(8F$[Ҍo'fŗNȿ3CO:š3egNhОkߖeugP}pyq, e#>.MNo\r1D^tOult4w19 9tW^ۻC*'n,mxٻt (Y8^Ҩ}_F ͟ns2X܏< 7%ܻo3sAB}}ҙ^R-T>7 s*:K5[3azOe.Y-}SV<3"Н+X{ƲS!.+1h1~9N9HUZ}{G욞Cx;6M}dVwU-:n[1Q?Kt~V~i\)wwդC\kSp}Q_5puOݏK4v?՟%Zo v88b:"y<ia8mµ&+IX@7e{v0 }xc+Wagx)@IDAT~@tn,ҧE}{[amA .~$,UJFt\ϧ{5lQg ^VG`omލW6"96ƒ hW<֘0DBPe(,Us-6Xg&Ynu WJe]YV_eĪ.:\Ƥß'@ D1 w\h3`S%̪r]#ikϓ34*%ӳc @AZ}_gt$^{Lw kLX2M8Ghvkc?Gˀ1T}B+bc`a!Q9̳[/~/.//^&U ѼϺ׀c@Yru)S>h =XQStp"fkiDȉC.Naju?S i@!WN)+1)˶Z˰L.^Jhm]?aa~{5݇3ůK #).,BϘ(P׾٤OQSGbrt9)huCE<ڦYD箿ŦbS=`4K6(~ nF"SA%?^;0it} &cAl+e5C+D`}C+} |8z$z/0{Qw=^;*g9)GwB5xy, ZT]b_7meuV`Jbn@< [[1)S"d&$fvlgpL  7ucd 6oF>CR6vmѸ9=R?GJ ?mJ}?ʺLlowK Yp<;FO3ioj˘*}A [ñTk0U\:~sDg\ϛu~Q:?D׷\ѿfmqk9xL (Ʈp M"zH9qA x?mKL*ueifm0|n3v@ QBeVW~_S:w߽Z!<\L g_/B4߈0cp΃gluA_}]Fj%Ѡ?IpΊ[ ]#rGޘ`i$|fyvg˟'^4 ϾG鷷0]ʓ' } ٰ_0}UݖYtqK+&:T|N79{Dٌ MnVozi] hfj @u\0x"`ב׶F/ 2=n.&VSw֟T5Bg+6rZz=I vtL#(h039dL.-ɍ4γ8uN_~~-YӿPxclzO\6qoxQWNuzj#X#ؤ=C彨_3xcZDN1Sʮ/W|CIO6nS؍ JR=M]&jpS×rW'A_wtvtKtczqt/z:h5|6ۂ{ʦ#-P'%\ &o'~:ƭlxjK=E]P4GH>垺. [c}Dfkx7 6͙eQK?b/ǯȓR`a=BfrqT-+{aOLmp-̊o ˏ&g% K73plpglK]Ѯ=lT9gi%t[Zkf5jpL(zq V} q h3vYn曋o`^ OkWh)3܆~+Y4Ik?6%n/i%P6^_=:⒦>C3tx^!ۮm*p;Ӄde^1;G6 (t7jv1}&']дKP3 EN +#т$aMhG+G))֦^h 7P+nI}IhvuW\:+?Gި/@G~k4c4OF*xWh UP1rE1"m\N1E :kt\"&0:R9_9u>!~:߃cU~JF~$ diµX';* S[Eq͸ybWxp~qnzƯtTff=L*(H2$Wi/$9K{4#viyFv_M;{(V= }r!9D~Jt|bs{Ψ*Иt> ޓ5C{9R'Z`ay~tmp谇a3ӻimgmA9 0-L}[RA' {9OZ'M݌u=g3dy3r^ǠF"x ]Fmw/8i7~ғȓú}?:,ۢ<,@߷?5w/O~|&>Tii.>v ZF>4PW+^ڌErwZ6MzS? ^܍:A! ~);y335CONQPO y{D7_FPQY8#n)HnRq]hędF^)5G>j 9"H{I-zv%06j^:̮#M 77*mSR 96, E# EI(6~n$Z_ֈpȚÌغtOmp}?i,};*[BcZ 96it }e;Q/¹ @U1`K0n@y NJG^_Bt?]TtQz|C_y)87d4*ݜOW@efW0t"tF}v7@H:̩ 25R}V,NS)7чMHr8V9}PݽY^/DM<` !tpOKG,M2WVcwNfs[e640w-4'X|m5ym(2bB>#Dt58 4.+Nl>SU5-CL]fXFD(7'մ\nJMgӪ[M-mS&NOV^ rN-<;;NK4֡FqAA5r-۞ ]hQ.;cš#ִhC@؈Φ/ws9o^o'6̜F%aFyjsݹm)@88;Ħm6#޹.iN|Dotʽ_ЀߦSHFRޤ_tb >L({#εIg{v1f*8>G_?qΡQoή9g&<}W9ۇh~aQ=A3\_}w՟\/q|gxNwsTYp{p⣎N 7Vh}d|1E+< ,c^`F~7$,w_8aSYbG)&ft? sӯdA.>l?Ze4Osh_-~v5Ӗ&лtgքըÓ&c29vlX(p'Ky?XߑѴ#Βؽ)I%D_FA2lcnLV]֝bQ K0&h}ҟviԭ\;/A?rK:S:G ߿{ ȭR2nѭ_>*u<:wkqv19Q8_!N>->2^s,cV}*r{H4zo0FU4;|u/*dr/)D_eQv{_=KU8LxO `־ ltYt2W Fյ a %r_Wg1XXߠ M X\xN 쒗<>99xX]Vx( w >;uKr`>LƯHJvGG72襝 s9Q0]oh6Ip6\~f=Lcs NἇKk@}ٱo Ov p#oWn5콖ٟ)>CV3 x//UUk[[:XaJt pJ lY-Ĺ?dr7) ?}\'w;oi?ѕݾjGȘ+[Kf;7X۽aftF89> 3X+:]gIOo|W䣛u0xȓ]͚9mlQ֔)>;<*.{K1 :'FXP]'t`@N٪.jz=6 POP>*[FͿ_#Oܰܒ֗enOo}ӹғkO =4 WЦ஛R{ș?$'%}MYZesܦu7 y'Q#V<1x"Rktm1)6F' Ik@PQPk\&,淮t ^Ne U@F6ɇ8cvUrW#ף[%|BzFn luҼVOB=$vLｵ&e9tF6p˿ͿEʰ5יo`zb }4 8HZg:̯cZT׾#LQz:8mTUN rd$-y3/1ϰexXfp|D]d=|-pT>kĘک[4_;r j%|1'y^}f^Y^'dTP_vE៝]yl օ9o7j4%vsڧd `QfsCrAF|qdlPe_pS͹pPh23ϰ3lvA{"${߷O V߽ﭯ2;H ʄ (qK<6@ 1R!7z+>6C=CǓ K2[v:qf 6L }O 4`Uo0FV]e!Sʓ<Wl1JD4_uci"8͠A 3 !0tΉ@XuΝ).t;-R'pxfof6 2~)|e>Sb8opX9SRK#l0E1~/)ZX=^;]_ hc_/Oq\:pqH6"EG`ܷڥKVʬ['BzOcO::׽WYxcIrgNj^~ 1)ihx ҲG{SDs|W[\sJ9'-] >Owqw%ŝpP?v}Jzl7q|A_p/t;N)2"X*Nsex‚Ub]JO>*r]:ƍ0=// >lt@ఽ#؂䠊}TjZ kN6>:xb 7= 'iƉ5vAR,%=)Re 7hՙ#گ[Q=w:U޻Jfo)lA4Ӵ`G*4|~ ܀ٯ5.}GvЯc M7Ց hsJ׀8+ ڥݍNA{MKPJ \/\YaUy0V8|iDS\dfӆt͟쭙2>G* _@0}1U~F~_o.oo"W>1:f,l8J}SW(ڬ>o "|b S=JA)@8ѼV7*ЅPknp+#@c)ʥvM@qÅY!gir9"aM16pXOg웦NK=saWuF֜Ee|:kms!µPlD4s"BclaRƣm06F1gYX)3 ЯZOj6A+&Qn(W(LsDY;ά _8v|eD{*fi0a= ]LJ6 X儙| xA}*;r:MgF^ 9Nb49Fptj {5c ¦x\w>ǘ&":h.A X6Ha3ioȇx aSo/~lE$4sWZx爣 kcḬ~2xݧݮ.ە,u9J[` ]e݃&cγ>\ڱ`c ]k赚D 7zhB@־hz9$WkGd`zv mxFͼws|a\9)0W/^+QM k=Po6G|.9w "gӁ >jTEoxOrf:M8;VX9rѴAξ]wm>gMN|h8bTrj6׹~Xiӂ|_|ŗ}uӿUp7!Aha#Gw-[_\|7sJ'+t4ZN]ovJao0}3 |f mF%WYne Ƀ$xs~Lf|IA  A:݋\xL]% +>n}>CNQ:a±vz 0hUL|3НW 9她p 4q|uf7CJ6gi4ܧ.>V|W0/}E9 &寠0N1 ]l|Y`Β6(.*(+)gU} nTD9RWt ?eZp_hQ7: S6"?0ϱL;'_ڶG38r X$V@:m `7  jl99&J;!dv-=c%M/pJXF{5ڜkkrA8M,\&,?*O~L9l9XBTs|61W[z0+Zx٭mVM϶2ko]i}µY m +ST@Љl*NC/,6vſns,K H-:qdF_a?&cl#x-e*A KU$;&(n9;/u?wDo~?m-zPਖ਼4E_"*nmNj*Ipx;v]P]9p7^7 潬OXӿ\^ZrrܛdOtzQ9bV~.01z)%d0N j+e[ kz  ht~(ݺJS85<Yأb .y`ӂ#PU<+]F4q-n|"a8k2NgA x*"SoTV s9GPpP$Lf۳=@%~P}JadlMge1<6PsbӁ G1`3+Ψ eu ?8t*#Iu1({IpH8P#Xd`1u~F]\od΅sY^ͷEp2P[4j*Du9x­;6Q# cxڦ_+_xcGOd2WHяM 7r8l*Ӳޕ3t禡 ID!(U"ʶ0ȳF% oCK| zx"+V 5pP9h^[Ѧ3E/9WvL~۟WVYL}NCdQ?fg iipi_qeCg@^㇔wCY˯2n9XA1O-8)~mg[>M rʇf>5KgzqFq C#(gT{<ΉWZTwm{YH6ˡ&/ss&w)[Cw+MA69trޝ`Wߤ#f ۩ ho`OZRKư95BMv-c1|=l>.@a^o3>~Sfk<-(udW: ŜydNt8.Gwף.lq< tG>\SM?#Jh|wA?}{xS28@YyWU_x6fS~Oajgy\[A"Oƕ7&eڨ=N>Wp0?O/~_|)4ҙ_4,kAT2n$nu^l[!iP'@7\Kw7G޾5B?yp⛂.XUmXW;/X6 6I,D5e29=/M[mCe z{A8B)`*O?Wn:~ 4\ ?p.mB{y*GW֜ل4~ ^V3:5*>jz4<"2<ÛuXû_sFh6noUo׿˶{Y?qPUIVՈ 6%~ǔ|t@3ధXEyIH7E}SKlں|Y`sTP G𬓦(5 cx=RPP& n@]ə戬s a,rWQ|1TF;5F̱یl*<ɳHYڎҜup`|)M g7$1t3S;1  &kr RQלٚxz|x,X .|s'XBF:wpX"(oWʴ 9sM/1ç`r:Lv΅4իN WM20c?h3;Ò5HM'S9=S- 3 (%v.=:B-!sV}x/DMwl0Sotb3]I^=Y}Vruσl߶T$e7#'֒T0ef9Ykϓ)?jøXmMz;W[6Sl gm_mz /om}A&tX+uu(dM?MmϟFAxxϾs6~gD4aچ _կ.~qTI%|}ƅQ7*z?G*Q#*mfEz 9Ϲ}Ҭ/_ݿLfmۃfV*>~/n99#Rt|F߃}!Z!p-+v((OK&Wp2K5cϾ<&}MWdWcJ(>GZLNMnPxLm$3ENl ,H62e){#\ 3O fm#P{}|sM֧l +ݰ55N/ 4N%!UFG× vƨy9%rSȞ>Qn6A ã~ 'SxӒ$[ ~Kic\UG!t!'1Łi =zAڤ򬰾^ NJG]9'XOgFT~:ʎ 1#\yl6җtM˲H.#cO-g2 y߻خK~4_6).]% Qs\.m8%k/ԫl6rl~<+yu6o܁YvkDrǟ;u*F()ҟiwv2or@Aзd ~I |;mUJIHL`lVk䜽ymǢh^Ja){ R-7Q3w\[H#']w{59&bl7 n료8nT图]E-VGyޣ I)Spɏ׼rp{3 2 <Ͻp=#='׮t#+(t!WFWH^i4] OR~[!xWߕU7y.ʟ/4zVtl_4#{ͽ. *lztة+IwNw?Q^[8oӤ%^w7aA_6[hTovfӴ,:xj!FU@F g&C(.E8%(gd#搭;=S1DPTo\u8Zh7=pLR0Sxʰ):Teh"R#bU8 Ս smnp;/*/%vvn Ƅ|Ar!/BӽnӒ xiZ!Վ *ڲؒiieĵO;9J@ELX€)Q?JTFmЉV)&UE$g UՖmDvFxj`lJ;{'hWi *oA6+,_Hr7q|ex|NNި[?8'Ҽw/q#9Z~GM3p/NF>w;gnOs^tAƷNG확V] o`d1O/hiwޏ $djg/M<:`̇>NO긟4ib^B 1~<=l> WrM}}+=L/~yg)z\ S)닟,Ͼţk)$gz}`4Y90 lUol *,93cF3oX6`iL{[K1OaCb_Z_y1>N0 "#j_[{D#{>g69EϲMaܖJwi1|@C% ^WSe)-k׾ 澢k'S#O[_z:k]"GdQ啿u.Y !#4~@OHl ^#pOé*xj0|a]u]~t^S ߰x>.]1ކ S.q$O%X.5UD\Tv[d1gGs*Mxpӵt6'N]4sÂ)pľ.2|J~zc좟\l;2詴oz"؉?ӟ_jڟi}4>4 Onw2Ny^6_e}N][i+iC4*7Ejۋ+nka#d$r9</Cyl_rg?mzCWAd{ޟ7˷odϥ׻ʹJcoJ4NVNF٬Xsy'Y/PeLG~z8|/sAA IX};a3!r@;@9{KT/]3۹lsWPl2g |Te^굲K N!J7U_J(b "۷L4w;S&3Ikσ틀ʊ > u*[}i⛄{%؊:L__gYtwf<׮*߾pg/]Ƴ]Do{ftC+kVjԡZ!G9B&n6,#wbiu>L-+gXlj@iSš+v1]pQ8BA.cjAy h69Cflۜ0pz2)V鵜fbeċAj:Z現=lj{Idq/!׎3} )&0[ʻStUh@IDAT(*okO V>x7r6OO*?|٭ݬS7s{RR2Hh-R1SSgq4Uދ"7㺝/m ''>wM`h W|C8 v}Sr96"^jn6ˈo=SPmDv ,QJ)aFF% VPu7Mf2_6ᔾj:A;vSDck/m8wx1Z? r_m_LK.9޶YU6'xYv!*^7k3wt~?!o[kh;C$IvYɪ7Ҥ1gd2z<-wQ>2(Rz7ܩPݾwAc2 ̝U/ա`&WNk7pٱ]ϣϽV{߳dĮwsdYhC)g63rDyHDySfqߏsT?_׹؛EϾⷿd?߾ >lz;wsȯ8`]Kvj-ٹ!Yte7ߎޱ6?c03θވ{(mBg?j.>٭=.s/=iZ2Ama4?_u ` Y#f'ooŷ9ƜhdFy3 Avxl?N =N:9;QË[+(<{ߎp閗;^/uOO_ n}-ڑs xH^:sV"F8;F;)6"> E9x71я՗DiҾnwS[ێ\]t:bt:IR{H3kϛ'_h0;5:0b#oZ9.x-h:E?x9ʜMmC-~i]+mz)t6'gC6U!6<--C'qc6u6Z[ J,NЦ"ϨZ[vԳќp,ae+W4}8^L/zx#Q/S_\VcI5Qq8JS])wu֡ЅȘ28Pmn41\-lQja7yPDžMunwHz&zlӹ|gDZy{^[0n)׏#L=</s{`GC\9kZmQ*^&#Qཏ?'q1Nj@Ƿ ֥38(y[0yrTԧ2BLvu|Q׮Mc0侀 =9>? YY&]tX#H2`Nj|H6Y#˃?:q_ Nax ;ʹA,>uu= ^pJa54_C_9LmIr:eH$x]t1[E(} )p/N Uĩ^7c.+6vqBnpl`wt,G~_+jYHJojx{^(G7'NE=`K?6| |LDg3 ^_VjP~vwNj?O(ڝ"vgc{T}ˇ`l߿>]NG^LD,Ga #U=2fd$8 4׫)EE2v1|SޤP 0_!Fd# OGD"vΕ] ňa?\ًs$M"y{>Ԏwr_^[T&`{~'<`)Lju YkԧPZM30Lv2ES=ϗ`ЈX[Q6G7:Rոro4WTR:S` ;]Ghz~3UX:1Qe7oT2"@|:#6Bj vUahkԭ/d}7ԑTkoCdm"aepWLO~z|v<éf;ǔ{ '+xBטec?;2g.? 5H{ajRAie SOM{<1K JDkL`>Y6 oA䑞!t_7JfZ$/kvD;Kh0l#צ?KRex|r\[2Axf0Vdz:Θ#H2M Ï%=O:^V%@\9DHj3lR0;p'Nٰ_ }+])Dz;KT~YUg7ݢi]^6}em>(q̢{6X %vqL&,}-t@ϔ`^1i7Y^ti..b$WmyItެ\}p8T LYN dx 6SogG+{-VaxKt7 :~>o^w~i#{A zWҾyj}SwڋB tTpwDdhRjejQ4@Deid.ZLU9iN:ti{zn>xL S55=5j8)=C)`$@ecZtjo*"'&@w0s^0nJzHMFUC6]ZDQUbU|TQΊ׵N m0ޙ~yڣґf(h-)+9~K*u;qmp'"b)HS-δ[~ՍwAFqv.λhs2xgnds_ . dV8KG|E hw hbZ[QF@S z3o'̨aMzcf~toȟ/]0ݨ.d.mئ+߷2p~_?jCɈMus0ӿ#] C቙5 p< ;A{,l=}0 !fZpAD<[g^=y嗢l ʨ}]0B2O@W_&͓ptr}h,<=kw{7]; G}~Ƈ8tOSFTW Cf݂ t)'zN+^Qr J0+C0d}'_* 8U+sp\Q~cT(GWWa}6>1'h=xG=-^w/@#JK7[_/!{f ;-s Ǯp K:坂Nq< X^=N(n5cwݯ;Ҹe ' z85Xm~)j Jֽ'sK'=bp[y3,_A!O_#['2*Y`'1`?$] Zr|t)}yBk{G/hw ]{#pygjv{O)BPN?ɺ9%oC٥j_jʹƷa-=sS Lu<#=42ٗ RXhm˕hjn7p sEl#!cN?B <&|u9R4|'Sʹf*H^7ewvFCe8qa~. Q8Dj605w.M,M,˵6EG7Ev{%2-ڔmhgd:᫴ u(04_QզNUM;n#@m6EĽ:sF6B3HV5eh߷4i^P53:KWrԵ`] ~geH/FzCNGjx:0(z# 3Y;0yJ|/NƌR#,ٲ$5zn-*2& U6k4oJGrA cdWWهwv(C7٨h{3mz`a67s"xmzQmJw6ʻQϥ}^PaH{ o6լuu~f`i9">d!0%׍X?k囜 6 ̀12mV'[sd:jvg>pk5:#HJb[e;CN0XNO8(0<&ww /^0K+C2̨"o6SB(x@-sU ?zF|Pzzi{屳Еɕ`:Ƈ9<;_.X1d]#F}ѱR= g$*_Db*] gvv#F^|ei&'/\|^zQ9Sv޷-zS}AY3^g8md?fj;ɮ-jP]ԨQCCIs7vTi_}@^W 7H)uƌRDH"Uz-#Fl:m(4?^gmXɽ\_KPc̆J>NwɶoϖTų4^,]L' ڔB2:- wpɇL˖>o^}͖f[T+ ×z?u.cmn6d 8(btg6CX1"!ĕP2視IU?аӡ K+? Ml:W>  l:{m N9!< ZR ӳhL+8Q WSYwp"c0f64# 4W>cJrf pn L#62.)#Z4㈯$b:GMLQ1ڙ.*_㹷EM!qK,|QA;)}Qڢ=FY)Dp:!A2ykO0nc׭ _N{zN^f8RykkpG^mK .cMW<{?k[ING@ TzK^ent]xאּJt#؟N'%dJY9X;a:I}hN֍f"b5[_>;8(3 yxax@.g:-ExSݺ(]wEM42}M{~xGgUOa.3MonoϪH/^QG(]8v#D/)s?mjY(6Mo[kWM%~oޏM`sG* r$9IK}rX/?[O>Ic?3f^mi=/_٣M:Zn{wս}Uڞ9n6d<<(X%2@X$l߇zp6.2zmo~vgq)\_~%uD/h ~gfpf݌N Nj*S5ߖ(O%Jz~ x*XmQTչxJ bU8盽 F8@AW0iJ CD)V d)CZJ2$Pk8!pmףu8%g3+Į6#fh/(`u{wnJQzWvoşDɏyr]3~NjϿkvZ^ %$ v"[jc\sO\rt_i;]UPf̟n.8PC&~Œq,'3ʷXEbƒcT+o=ߕK 7ʼn0 f%^62 1"8T#ۦ i3d#D1!aNE~GSf{ Fw`MM _FT l$̈́*S A!Pb42x:Če.;[V7ig?\hWA,o$FO3Gv{.XMŃ7hm甃ݠ\t^ҌҗzV8u<+hvF[V‘VakuЦ'& ,KPWfò)%j:qNޕ4*Ô?R$rmm7L}t) FL㬗NȖR@֢ݳ-OdSƣ X.t XUaX_8#<{/"[+x~Sg$N.ʖx]u'sE懲ꉰw86rV y\`iHN]y8|ZYfD^a> o~NYgnڭn܍-h$ N0_~yZ^NJ_oM1vxG+M(HvHOe|nng;O׎eןe0WG~h{N?t*c jZkɀ6~~12hr? l#.ީڸYvNSϓӛ%N3wۜ똯{z wguf|RJpO$/ZzԈ{ೂ{Orb0ƻ>j Ń/~f`ގf4p9?4`ג*|FV3@ܻO?o/ _;S UAU#}U=~P}bjzZoԦX& ?.5f=ک9H M魏f(oVPwlӻl;߇ sRք047j>Ҳ6GT^AMAU/ͺ#/;} NOzDZs~'_ǂ;_PU>E"^!gx*S~m"A?N%쪫 nj&(J'ݧnF{AӶ~s"u(v gt9JVQQB@+ H_Vzz3r=$4W6i+Ī+hB96Z7j%rkJ:"(Kկ]U<}kSyi4]Ƒ:]@/CsꁏҪYY:뼄MFFOT,;n; `z }ךX{k}`xkzo~BZF˓>4~ܧfm3it?n>fԏm)q_p/f̣ jE@6 quf]@CJSNN]1)0G.- }c*Xɣt~ׯɣjΠKNyGԏ3Kdo8fVxWf˽GU؟4qgԷr]M?-0W_Hpv^߅?4QkE T57a\&3tD?6 l/E=bEJl|<7|2|*I&{"Fh"epqӄ$$ủlR"GE):?x1aoSF )H'1MeX5"Q Bit*X2_wB'z8CTv Y1A8D2N$c)Iell"$Y W 57ӏ+cCȻ8la)h*~pmD&!ձV0K^T_4%d2;NcEHP] `^6UDRt5)jC ^buhqiʹBVLտQsrʧ7nJaŗ{ avyBAs:q |BNpלǥ]x=h >nڋX4XKp06:ޱK,c bЯvж[o+v$ Q^hp1.NI`#ɫY:a<䒚~_4Dfs.ܪ3ޯ dD0W?#EIh>eKe$ ΕRcdh2#H2/pr#]&k~,׍O *}2-,G\[P-?z^)&1è6 KoyegD=WFn?lCw@%OUO?y?Q[>~m@j:9~f-w;SkMV?ͰrY`= G/MG\IByy×= s^~1/O֠XYmtݦOK?r%ÕN"t{|YR6PwRAU7XZ^! qN}wmÿmy3 u L5wӆoo?|l>l`HmX_~f\l.h~^Klð?ӜAt]DD}_icCIqo~O)2yl>F9o{/֐ӽv GY[^1REw+$~#T!/gfCac3nhOF cN3Gy\NRn[{5eQQ[*gz2#+GtYoIg"p Ҙm @^*P K oAyvM}l}Fۚ*VI -K lxeeHQu̒$W-b\3F[3@;Feui]|/m *oFF8ڏW}^|\h@F+uW6b@7%Kc쒁?S.?..:ð偬xNByJ3{ZWz<"֦RJGVWB|CR3B+>xyyI0 Fʱle9K?Xݕ:{=?<6xԠo TI@./??9/λ7}ɾOI&y|h6},KRm:m%3*xFلWm{ lo 6, ?2j$SѮlS M;BhG ޲t  6)cB@j=GS/~9h~B|=\{n SОr '#mO!,%ق_qWSOS>:!3h|{"2\ߞ?d(zuS>Jf|㏮TKcXFlLV3.# qK{Lg5*ۥl_ .h~@4u{O:e ^̬ 8jóݎtݔt8rEi~9gG}ʛM p#)dn5jLn=γs^7ݦӭ;w ӣ7갶/6Eiezvz\-98=HsÏ%[OrlZ7׏MyQKf#${Plgi38HEGzA>ǀ|t.xNw-Gv-%ewcNӦ˩!,!ؗ8Ux6:?;jj3~O1Q3~ăw35R["Ηv+\xY`y=yc[yHd1c4yF-`—s}.%zLgojI$X}1昖޵;Fɘ fɆ1+PaGgد^162EG Ѿf#5{bVkIeoÐh-|>0Q}>SLfl JS,YǍ ɶZ?=|s^gz_ l!3D[: ++_4(l9?cAWzN{i!+f0?'Zà $ȳ Tڼ軺Br.!? zfM)@Y8s {]r ]hU쑮=+3ñ{g{֦9Kd@Cbq)=Ϋhx:Q䥺 >{+xW sZ wpG2}+Qs%wl.Ig¯m]'WS@M€n24f>3_e yxJ} gHڵW٣mVm톙okk2\{Ӊ,?~}g ]r0q;iq1&ly>; fzkY=xɪgSVB*I:C h<O?H 0oQnYZ`H^{VS*sv:CFҠ:jT"! d0 =|T JmU!}w#zzuW+R}䙯س}Dw{]`('wvy .mmTxJpǏhӅ^"ûfY6S3~ǯO_~wM3:Y[o }rd%-+d# ޳f]fiׇH6JR@ k(i )无 Ex} G! Naﳻǚp:omEb?:+lQ`E 3@4h\!hM#6u2mFa# -9-U2US(J 7wuQaӦ|z SD0nF1|(Ȣe#BQ -[E̐2z'"qvDLF=^p8 (2)kAwozhuC@+1zX/D|JƋRnIDhӮfl/J9kxL𐴗R{v]V[*st_z4lhsEVBrAe"7r(Ch&`{œJhL>YYGa6!4j S,Ex͜՜Փ\i 9r-D9L,htch+cq^{ @6zF&,zU54Sإk݈Ne9[ɕW$Z3U}ʙ[[2ANLKt EModw^o5ru5CBf ur^Sp/AhV{mlw#S7Z["|W_.om#?tD܋टX'ovǭzY3ML"ʷh.^@IDAT?X,N9xۛ7NpUo=m2YcpV&9c]w;Fh7؟W2Yw)^ l$mAj{gs:"ޕsN .fСrq M_ )]`~&i;FUɒb V@N1GML˱>xsg@4] Gzrq= je^~Te]v^kz* z?x.Lyd ȣ`!wnIXcx}8 5MS~@Bv~7b?.d^<-)@A?z ފ>T:br֏VFpB$|Ap4^ް%si#/bwYW>u#KR38t[$O G@>࿸V<'=Xcϔ5_1txdg8e> Lnk,gY`?a6Kģ*Is~l=+ͺ^vMuakߣ/wO/Ŝt<͚-&͒ٞq2Tk>jݳ#?q|{fLi8ʹ`*/{QQ1=Szό,$HРR{'*4&NˡiYyHUq4MA&kA0$PFI& I;gs4?u4#OdrBlG|t6 z-&5C {Jz9Ii .HPe@m̅HdeWUu3!Kװ]𭳧X`2ձ K TkˉSMdۍ<3:Zi6+L>FӔ0uy0:}>_Ǘ^Ckq>Ӕ~6b2MՎߴdIU~;l76hfm%G]iԱc[Qku{uI'wdq24brsy=GYƮ6۾qљ0-M=/ddsmwv6A/_}wsx2=yhGj략 1rkNZQ_G}ӱ7F1C+pl_~sr`ߗnoM;I&y%l/]I^g-2}&o`vѵ`֩G:lĸ7}Ësx/zsL{[q40?Ncv.85د 'T+g@% tSUS4,!fg!d8 Q{Ng[_ZO3wkz3(G"q=S[Ξo/`;J=I%ex5xG4?Vvy,-JO&A~z|zԵT>@ߞH (X!9fRоXAB EG+nuÿI+(:>s`f0ӡ'xt~VEL؆wuf=75l^WnڄFJ+ޣ6|ݛZO|/[ dQ9sbokA0NnhrHA_#,ɮǑAօf i($nRfI܉c*]VpzMn{^>ɶ.u*iLi6f4ㄑ,L-A  W"GUttHlF#z_O!age:tJS?Gڲs6j>!,-ccN2f`@te!oxSd|+CtjPjk Y &mN߷ Zݺ t_u9\wIN65kOHOf3{0Z.ضٗٞ< (@H.#+kf*hQ q>|!A' 9ڔx!+@΄~W1dJ;ÈFWnjjhw@c>ʭ`X::x.Gp8QE^7݈ss*%6ȚzL|9CIa?Lʫn\,OשM(L ,ws8Nh O80d{v))\ڐgÔJN)}k:@7c>+z3Gk:N +UߜHA Aj 6CYcH"]N,CSQzY}Cn1V2N)D<:G ף~lÙMܱVn˦^{Du_!ЀMȖTgDk_.H_9똦C5D238ub{u])N?گ[倃K0_ʗBcHN ^s={:ۭ3[^wt18B~N6 k\o8X5BblM⚾uح-;B㓆Jc[mrwIw߯ïytӏV" 7i!]AGۙ*g?0l`Fbr{Skl7mpN:OO?ovUu_[M=̷5Umct8>;]:S( ptl\Ta["Fi&1}3V(ή3- hgWflQs*m&{G^ȣ]JvMȲg;+\gw>]gLhXѫ\vHW7QϠCpbX $כ).qc"T5ahǵJHݫ3kskPj~[nȫݚ=`IVw>|͒o?w -a -h ,xMzlpȜtd n.v;]c_Iww9;ٳy>G_WVV퍒|6\[yE|뵉ɂܽ_I^MCz]a6ba$ӱ`ϡ灉 UZ;Xeg<=K6wuC0si c}|XHGwJKd,y/|d҅fGck ᴊ2Y??yfN?{˖5K[xv<+lJ6[*%dG2mrjk\fdP!ևҥkt*10!PvhBr KN KL Z:{UbƜ3qB:dIC&`FPyB}u4N1c ޢ)!uιKa(I;# D4g-Gf.87RMM1v}7ص Gu눿x-Tp8 3-IvH W4y@ 9qSHRh4&p('G'@t}ں#!;AP^oL+î/s`eCF 8fI^:Yk(QQ}ɣm^+!sMw~_ςْ*mW?L^i 1@w:!`+ L>r}W.O ) Sz\xݟ{ϸ37}p(%;C]h])QwRvZ>[|\v]RA>zg WAo0^#yӈ5[ wxn#fRdﴢ6Os$dLm_ܵ{οy}Nj',gٸA%Ygb?`nx@Pgagd%|~;4>ApMҟ-R:Ç<)kb"tQog]־C^K῁ C؇Yeh{,+,M>;np S{VyI.FgK r͢OM^r?>./1}ԭszQde{A/!l=,'7h=̔3b#>p"y9~M{T_{_fK^خ/_gP۰{l agk40`e\*:y;waz35,W@Vr6-3|s! $0Xy'3á]m. ":#ޡ9B>' @K :"ؓђִOuU_2ZFE]m:y{i#J Ox>>Ny_*/Ea9"Vgѱ9 Ȧ薃e =RuTW4]|MeMd-܉FA<ʊv $9r*w)hTfM\|gࢾNWjj|6; lY3*uA\:x\XTt1G qkSq9#m U>)yv '__SZCd'/45@lẅ́1B|$Ə׳I JYF?xu(8M^IۉDmt1wި|z;$Og];E7r7ϡ\0+l?kOlz3zchXp#Zlw$C>zdӺKuq)wY :zWeZ x/-Íʷ_Ez.}aF>k}Af,97s(Y}]{q?igO;/yqMdhNKС&7xY&9'[wg'K${MYxz'm8I5znϦ3eo؞{1a'eM0oz8l/óv>(SgA gP6< :~!VnVJ[A=3y.Q-c}C\i*p־2jwl0zۨ}y |}A(bbUZL׹/tΙ@62TAY+ȷц zqcit/O=p[`<;ruWɯ~Hw.7oQKG%mS)prNꪛҬل O / 6'_MNoZ^TkDŽ3/dSMw:S(1ic;u2=3\hZb_;|W=3ͬcjiŸ44}^L];?:y_oW|y:O*?fCMG.:0 ٟ]w\_n3 נ0]p]0,ʘܬcM?E,0p5Xq]d_ 䅍a ֗+c|( \J#M:unj'`E=xF.jFarԚSX 9 $}7Bٟy?>O?Tl%_!~=I~"[AO_B6t,{iP ao!N)cL 5њpV byvng 5ac%>k h[ݓ LitL=!zT0w9!|kaE MF'=VL~-w0ˆ)_wp aLF'J( $ÂM7"w[~LbѸFwWzҳ]°^$r,jkvF":<˃?@v}k< bhfW>a; _]P)|z(P@?|\>(|Lcsd'sӅ^2L$k @OM}EsXgm_5\qumzxMedL!6C֝+1gp\Ԩu֧Oo4)xzoχM!GH`e2oݻ;x6,e::;˲u5FI)h8㭥)ocdF])* vkyu_L#߾sO_gs¯e?h?~|kj}]M윹usb=9}#m9 ΁ u<"y#ˇhqյg?O Ֆﶱc6̣!}6zuL}Kt4VYvY4 ݖc #߻q&ǯ, GnϏْwB,"%*l2;RoڠkNV i+tafece6F*/WW3^ mr3ϵCU6;=+2+/qsylѡ ҐWS 2؅H g*e'_e >,xM4Xy,HoXq݃'r_(A.ygI"%\lϚbe^;X"r-:KbǰOыV'Ȏk/%)D-Y`v5^U/_k凣F$RDN.yUVdK ~hqt=͖: 9厯9b\*Gb>yoՃ6k7 zѡg@E~B80>.Ο~KkwJ;YЉ:XI_^}"xOT]"tJ7}yؠo UPл􍗂wF=Xoo 6[;6gulٛ:cL[yeYzOMMle8= EO7=J7 `;I2?BcţA7Ѓ>]T9 ſ6وٗgO|^W_S zUՅeJ?({uې }~ӯi,({um!p+| J]U=5߳ `yGi'j Qx*T,!G9bwe-@\L`AO+(B*d^m~RbtD5G`Dq]T&0 ш:u:ftѠ\sl0ֈKI͑)R3Qk8&%"1(͡,GO 7#.NyY+ՅYp.KyLoa opO | !Foθ5^;'8*d'r@ЧerxtאSxCdIO]p5-9T1TȮEI0@dl j/` 6*mU=Zbk : 5`Es*%fW5x`@yF6tWy!:-ӳJhUQ,R/,.NfpFC-*kHD<}TQp)2{8!j/ xg?Y䖳<}tet Y_G ̦Q$Aķ|uk~hvC=uB+Dmކ7sv&?{T,rZwtlYơG[ohcsA'&itrn8^Y}mt/>g@?h'uwaU{p8角dݑ_6bF{=9=,`]'\ww^gCGOO_[8|ɛZϫM3E#dɗ ujA7f>t<Fݣ:h9Rt6G7]m}{-S}c(( .Bƚ޺YڄklMcvznqU'\鍦èNq6c1y ݹ'eÍ P-o'}H Uh k9djPٲmK/U]9N3= 3ΝL@'T:qfp}9n ׋÷M Gz2G\+4r4)8 E4@3elyF |_$+WP/ϥ~l&J(˵rGɪ# wQ|LYҕ)<:l@PfO7%Xu\a,=5 M?X݁r"rmFʒem= rL%;GVunf}xgpxj% óU nES=weDA笭Qoſ9zFɖɪ<孰wϕg{OW`~e, LG>?v!O୤\V-TYfR:.W{jj@5 ʪnA_ \Lu3;8Z{t L]mI9ֆ[[Vi_cτ7i`M2N^0̡՗J.h~lڥe[:CP#mOfWM J̨< kH'7y*@PU m$neGy5 ܜUbs!E*{T2Dg&tjF=o6J[' "{u@e@(= < U=1B˨sTjSJǡ`5Bmʅ]z IFgrqstP4Y$PT2R5&xcH0?Cw "]eiT a#]mں9욺ion:X_G`M|f֛J.`Roᚁw:2:ͨA*Ə &1,ЛKu4.]lnc*LF( Tqt6GK$z x8햽t4F%.Pڽ_z#Md ߭(uܨ6j6 fjHx V#ND?8j' Xrd_.EgLGo26>Gؖ۟.–yĘ)HV8OIЉo_]:矄rǣlH3T>xZ^Z=%&myӦce(M=sk8CBlqA>v,w4.G"@!zxtT9@r,qesЇ27U喖HxZpTh fIU]ލϟ[>szX~ zx@aTnKod-YT&G:HoCsic?ġ#v0O*jSJH+=OX_omst&cgVfk m9r2H@Ά^ɉw-JͩHr=C,MFCgA<0MB Z ^x5yy"ֿqڂ>byld/um(=cTERWa!ybF4SLjkFwWPvY=F4r@'@q?=GZ7ZQ9|=p Q6ҽFROx06 p &K(O0dٲZD<}3 肑3p_R%#ㄋw< Aa8 ^ ^Ӝ(n L،]4U޳hԿ79'wQJ j z^獢O؆7:Y"5,m.r6$Pɪwۍο?Z6Gu1y"C6g~7/]?}0{ ˭ZdtWr>h裏>SGֺxYGZNxېOGMGkݩ#}_kB͆| bCqkܯ~~w{jDjlhڈfzD'BP^A"qX> $+9_64s^'Slrj E|Ͷ2Ka{N3Te,PY6. !8dݖTգOhK#{<]fY|D׹G"-,a)&`7zpt@3|&gptv|"ŕ6]2?z5_׋KfkqLKr't&ȥ%qc4`? Āh^4!epgQeDf٪$xL.֖ǟޭ}tA"|pv {"IS˾yK5OvzƗ":L d! d&x%IX4>`ϞKn'_ɾ/y3Շ.! A~'9='ɊV17m'\/]\u+[QhRMj3Szߟ}YOwUhLv>لNcFmɅ=/ >~>|8`=|ޭ6\͌`FmٚT[z=dF8v&$W2I⍐ ObR9FhhlJqY)Lg<"'Φm]d)al^`V09[yhUOþ91ƞRܼiwis(q~顸c,FM{\Q)|׀ ,\7 Y|hyEKؑpY] +IҠMxm` mׯto\e&skQc ;UR|5̐LgQ-ra>ٟC9鞬fƣI0+FJ9E8~Dce?7Bx9KYT~LXFp8CuLuz>m H"Nx 0X(2^!رݔr4ch֠Yu6v-`υMYO%w#_ c:EG)mRa*:lڈ9uvhQ7/rrD5NF"h~;iaPSI-_2q6ݾ)TG~.x`aJn2. +]gFS^#^< |84\tvNZUϣx) zzSA*uLCɳ:'d]'D0ex˓8w&jž22*Bcr)cѭEx 9?2obyP+o+Oc:% Y|@4"xZr1A#6z׼F{濴 '|Q#CջkEOsf.j|f0j  ޣa̙gݿNg4y%=,z5  Ƙqs%dS?ݑm&hu'[rтW~{zG;q3>m3Y ^MFuxɮ)r#﷑N8xbC<<={ypi'DW>kfj htCuAѽ߲"T$w-Qh/t0.}"7Mw阪+27mwl= Pȳ/썐LM.u3ޕ:I; 6]/v!$zZd_{ pYR`omQڂ{r3ٚ 4;Qm+y3g rm Mo)Ns@{2zi4)d)UëД1CQg|?KWvv(4JzZ[6tttA MYB/ӛ~tWV|0{ HgPif ÀuA3hu̬ Ӕ!2_휛9+'ZW/iV7D7bٽlv%Dc04x݀c^څ]|H&?7aוwTAfe? }R>+/܂.їe7I@ݑ+V7>qaeFgd'|+H9=:n_^R8|`9zxV}P 2/{h|~+i4'q4h/$7 |Wr.A3墧gru@O=`{~A_804F V[Շn"'c-/̊|?i?et0 PT{:K@]`|l6U%;Ѣ~wy/g|vYz2+hqn tk3 :uK:Rz4:}i mٞ>Hp9Z F2tE'OwN pT#sKmpe#N"#J`/Twȥv#$owr\=&xI?{t]?47g yS@)ìK''/UПP6_&pf]jQ11 2$?2o.5 !ri9r-a#e0ƴ%tWy wNNy{ Ҿ! Ƿamؠh?KH_|z=(~ Kܑ?<ͺq2@Q6K>>gʩnYggzml-8ꃹE{ m^٨{aHS^Xi4Fu~VR`f )<>ANfRẈ,`f`kyB9=AHh3QBm=nXi)qu"MÅ6!@$$G;-'LBM4qappGx]ͱL(acO[#ovV!0e41D[(rt/:FEre.Nua1 Lxt #3d"zx˸dD\ڡM3 bNh/+7:Sg4%*%Ѧ3Br(P[$Ot 5A d`\"3Q6t:)!X@jVeAΨͷ8WpI%0w'[tѻmGc| (^Ŕ&R~(o6n039c@]` 3fM];tU%mtΟ 8tKd'sdvQLTJ9@3͓/)c *Wx͙ٹlx{ГްC :ȬQFyFmdX =93W G1DGH;9M)s ޙm!!}~҄ko[;Дg3޼rG:ݨ}QG}ldqvm@}d#^ t\N_Y*L|]:?π#q Ni~6ȴa`m. o~'KV{uf0+-o‡uLteZ~#/܌٤Qaim ,7![$b>ཻΖ6(ɡaOyc4sG?t>M3}Ol|bhi lق(OWQ8f|6[6#^KPERVVS.117[bsٰ_ǜńYwd*]\g')=)ogXTS+nl3><:Ă}tU&pTXh/U?ůYfZ݂:[ۋaQʑB4 տr=dzxev+nڛʢXek?{^[RR0uF J~5۝0+w鲧v0߬+8]$lU]&c0D8ip?hK]~V(i͂ wûuDӿq/k?mjDN"bQ^9_u܎$9D Ɖ֎zG=Trúo۰qiٖ-||Ck/>:u6 jl>|N*nvTmCu g]#j~?UYw#MC]6}~[vFαd^niɓ͠P̎ ,~l ʤ:>T*.H㞘A6gufkzNE_AWƱNsZb|Q̅ jg(efS=KnRJKm=4d#UhCtl,~* V2,'AFG Bhmd&ǔc^/eud(΂åy拉7J_ݲnm^ߥ\G>y a6By~Шhe_ۣM]vv*y_L72K3Tg|NdK[]Gg̑'  >(v?5%Vf#hZWzevUY?:Gu-p.z ~vs5o +?WՓ`5 `.JjxFetm{^7;8AQtlkӞO_ѥ[^c`|;똕N;B='ɜYUu}wߜ LQst&xO5E11Eܒ,4UeeiWOϟ5kl$Uf5Y1۶m&=}XRtǻ?$lQgUC|]m/n^Wvw5Vfy۱-]7f[(NHgx2ή\dT$/8[y\Ky5pBnߪY29c;Y3ap6#'>4g[ lU( [ȼZwd²1!)1,xN p%tB8 d]\v)=_3ec0^N#c[ m>\Πσ'ڴ2.x9@F> f{G2'n<@w%l810w8K(N>"n;NM5FCQ]᎖$M_jϮSӽ3pœ7:ҳhv[}B:]eaFu(Wr:҈vo42R}k~նdɇ>: ~N@+,ZczB/sƂ/4Es]=zK`+W{xL~!>Gh1lV_7hdVxُ6{ٵy>㽖mV]{i"_`ob;wUAOth" ]`ecF~w] ?xu`mYڃRrAď=Ƶk6[߾h7-[ޕ4{ (?f̟__\?p2l~a~̽%݋_=`|?lt>>!J7pEYxl5~ڲ lo_6|(ހ3K<. [I~wK-ٗ-i|˞@`&ŧ mʽj־DZlw~Om䓖񼁼Y/:E>Wv[~Rd_4$G[Bl,;n{Gw \+ k6Oe%5 9H9UzMv}٠4uI'(ՑD5] NZf/>\'$5Z/YŦZb-{QA~FN+\;VgXyŧ}HA> ËY@&Wˍl+>|?0?'ur8]& s`: Vx/6!0j :W{#Kq㋟1 $&ۊhC<L>winPn ^\[]xo91~X$"鑴ګ&滕VZg3pI+Kxm_YR4p nMNzûT%٩N~@]?:@vXAO;}7BY;t "E- |&^[=iS3_o~ugaYm8fP~#8]=0]ae ݁h ޾ %I]D7Gv@r+ڒ_?INj_}ߙK//o U䑚mlxZ{uK^=O8/,Fl3.ȳrޘ/9::I&t/: Kߙ^Xh`l`;dK{w:&y ^a( 9t4{ +[;ݞ_B }r zs|x[M8@1~ F7Dn6i]g%& N> ѵY[rh' pwVƁs[[J%B(ZJBeP 2u$8m|v5?~=+:hP*;039%B,!c @DFja: B>67x3>cpϟ=p{!)K'LTlgen6I]U/!?#S]vr0N E `od>3{EeX?:])ANws/1k)_:;e:Ewr ? }))c8@Nղ?ucgY6%HM8u}Wp dStW{Ld@.ۍ7:ỉRrY˭YjFaKKqgV+̎^}} ޢ$Nq%}c)8:l2jr>)U6wES7tc "k ϦN U {ܹ (kDzg?-M>3CrYwn@xٞ|eVL<݌]<ϊV<ٹ%2hӃ탇%6.e^d)i e)D%9:o}ݝ 1 tŖ-qFe S*̵SH>cW3߅VdjHo G>X[{ ^IqHNJ7nlY{ٝ~U<á@_ %{6+!uB#*+,_eV|P_4(00~Jl~0Jj3?ă!}+j<|(r΄J޽ Od=O=G:q:&< hG f5¶2å;D8#Pn Y hN2^|0xha絏[ۥϋ/]P 2j/}_ ~t˲$k4%F<@v6l aGFN:}ĪSm/-¦C{m\f~ntĤF6Wz/8y};\<tז4^MMEKiK,f{Θźbw[Rdz@SlYVj/93iVūVo+^%P &~_;awZ?/nՄqbZ>ceWe*6ފ'v5!n a 'KjXLN2s D #V%sz g p+K}]SoܩLzLKԟ56+?zݛ K'7RpsݥVhCGE^@W0/z-9V!Da'bL<i^4r6!Aэ-:K82e{O>g6^:/ڬGM8MA\ o? ǭ90^SPVpU}0 xK6 f:vmU{^T? `ɶylw>Hw@_|_|}ܾu7Bk}=}Xl |JIXp>j9{{\;/?}4n_\|@T‚-lƓp5?m{K|7L?5vZe6]|/Ï{^ԯ9Za VosOJ^J0Hxǻ~}PM˦>,9rKnu^QlVL|ѣ,Wpzms'[QQ`9 Ve{q~ki'w нg [eURgԱYW/Ӟ]u$/K\lĚt?ӖĹ kޭa^^^_wJb]|ñEfmܡ W/D6$JWYmo`p^p p=xdl*gx \ 4[VC5'>#3_g˾Iٹ'~Lv1d$>Ms `{]wVj`<&#u.zEwn.'FK CW2Z U7ùh=9J T)[o X0Zu0!<| )#88+G>GoLx`'.'Տ>|#PRѹ\SyD>мUYI )X^xJ#tw[{m7I?0 ;},XK|'|)Vrz.:ɧsVZkg s=Θו5$ᝎH{V-—峝UϮՄϭ*[u>[A~.h'8E][scjxJl#ot:5|&RC2uuzx &Ѝ6B3ixۯ|J_ͮ޵má锕/$o x![E:9eKݫ8Ä!g ʱq~VkVG(4!:3+_04XJ:! s EGjw O{6ؕkTfoSI&ƒ3k()N)IoB HHK*Cz㙜\q _t /߾jv3:רqHٛm6,mhߊtk6OlĪȣI>|#R5A?P~I⾛ H5ph d:xctf, $1jl;k Xڍ@DZ(npXl0 p nR>eddUgfid)ϔ4E T?~n kcTݨf *%M'e`JVJkxƽ٩Rx" unƯܧNĈҤ{ò +@˘V3fJA2 m3W&~J8+oMN+}5s%2]aeP˼3 N_F~ W08 D kSN)N׆bD:2 9|Y'=ڥZyjEiU ?_L2}4y'l_7.n+^euQӑ:Eq̌Xm+[9,$GaM %^0Drm֛{BCJksNg|6eNMt9{촓e_ytdd9MJ{#8ſ}u*-;է͊`('l݉͹fpNIU?_|ŗ}@kmq(0{,v]kbz~PK \>قA79'^o98`l_?OQOjŽfpz]3sueϳ9K :{zw=:𛯿͈9 V=sЯG?t~٪?ۗfa27 OM)xegl%Oj~P <7`~+#<-s@I1ll/ɭ\xvvrcVr$d1/jO^5:<Fwd =C6lLk' c /\ 3m {f8Ć@f|p~  ~jKPK]_A ?tUi<#{/W_ewUD]~:[$ A OqAzsJw>>NE{_ڧ1opߪGpK4hh- ^}'EܧWQ4/pʯ~ŮmBuBcXW]% }k0=ЯXO?~8.ƬK~p _F*V&b:&xwC7G~woƇ({+r?!H^Xo1XddX9}4E[?W|=={76[y6GN닿|M'";4dzj95MGbѻMyߣfWo5PYF& 狃y%= ' *%b-|F{ M6Yկ;չ׵gENb ItɃxf4l2Ogɇ,%78n~c:jS\p ݣ-_|6JwT|IRXtyt3B'6 x37nUKq@IDATtpz9 ,ƀBOmK{ݘ$ᢲ/'^旳@1{Bnt\ŗ꣔?7 k22!M,M/vxTIhvj|?p36NjW-ѾG[l PM.Oc%K5 J>G@@qLd-u]~ta77WZјaM4h.(ܺ HF[euP'W3/syGE}CZr"Ġek@QACY𢬙fJYfHMJ =Y%ڔظr_j?;F Wm˕oVp@5 #x`)$eA߶;TF9/.p(  'wEV%3& (yƽtKHK0DY ~fѹ>f FA(> M,kɖꓢΠ;2kt3\B)+!pʾ}ztK fYCn d+0p3ɂZI'(*A6o[/vF-5̩.mɖI :J'He67}=rtQ8՘'o7k-]5juţ9<)9º-d8o~~(%Gg <ijma+2~ŷ%&[iVQ0&S'R/nYx8+zt(f, rX@D-}Qm)8{HL'P?]N~b=[*Ǘ%<M0B\tg .8SA_#FÅ#wU(&К /`V6wseq <:h VOõIË3L;m@rsZe-#S3N;7q0&8kq>E}]_tUnKDUAj$>wXp k#k/ [_7ɱ&N}>O gVMc` m@vH)ʟ!ۍķWSD'o 8LCiXiU~} .ٯ{z;1Aąe15_$|Ɠ ?mXNm؛NI$K$$10n'm'o |0ykRc9}4o+ζuݿmfbkoýeVw@뒈ɵUli?_1|Aau?^|]|^|%%T9^kOhG?pq!h}8JQ>&_*&t, ocW;Bﺬ.xo2K&lVB2"[4Xa9*FdWd()AN+V#b}F4uh˷hq.'h\dPx==pcx|/Ĵ</{lGtm7֡ϯԤh}k`ŗlD? 9|Gb?.$0 1m7i` cB4~})<[ 93d+۝UmJq€PN\`hu "8$9͖@Nu)dtmKW*YyD% :4r& nf7x*P"G"09q&+r9b_2݈e9|cGlu @FhuZ`T-fU< z)0՟Μ8`Pet<`nfEC? O*ߕ)zkpӘXf@nƻC$wٹGC4 >LnPx?0޾>, D/]{7~>Cݙk3D}&Ͻ'PG"{6OcX[Cmy?8'0>4 /v|[yN)h_ޫfF7XoD{{LNY}6þ {_P( |ڌ?mfUپ-3 SYg"f3cVWk{l/%l-8Yq%w ԗ|҇ң 8c`ZP1}4s:œKZOɄl9loKWѦ+]o-$t>f%7LZ?lj} ޜVqC^d j >ŋoSLPM3>5-8 Z 5ڰzo6@ZKO`zh-1ܝ%ʼ̘JmT}G#໾2 :bnNxʐ?׭d؀7 O /Kfkl0xNE 0zg} 51śU1\fA]t3?<,~m XcEA<Yt/*hK[-i>~kp<^o8r=t.SbË0;_va$Y0b@\|\Op [^=oS޻ t@gWI"ҭWMsUS!J&uʞ'%,=ݛ};Gƣp<#^9$;3]/ky_ӹ:r2CsA=֮bg1v"3wvJB+`53Dej,}x'-g`atUfPjhc|2ԏݑXfkvO<l~hY^#_5w\gp1Rt[y%0, ۣlcw%;%^z^|XTOZz}jtg( !qׇZUתV"k%'_@jE֖ [>_;ӏƎ]#x5 _xCeޢN+ rUev霎VVbhY<3sH."0e+8S ŋS%#F)´q$pbX O1xԥʶ[/{>C]OpÁ1:`p&PSndƽmU&,17^OrgNY:Ev ftV dF=LLJOZ!1C!M-4i`1Z#'KwU Ot>dgd}ӹU~@N{=6=#Gгꌄi ʩn\"Ò?|~ҽйK&.<ݱ>X[0aKQ+=}ieZq;w;`əx(eg{2@rN#w7N0j[ Aƻ_p!`;lUSi0<cՙ~v|3$Dvs1Ϭܫ OZIhgj)ɂ-kW?$mX_u[@jpSsZU^}3oVorhQ\LПՎÞCʶ×h荱#~OAd5[n)'Un}1/EǞk nƊl{@מO΋+f4r@(-eCɍKO#}'2fmuoT!{]7 w+>/c]{ғc>kC*Z?g, mYoj({54K@Zc.g<`2&AcϞWIR6P{ɟ]wbDA J\F,S !)0@6U(o`HC ໭ 4@je#{S b`/5X]!%e~xep'úla3WZAp"_΁ZZmN6Z]?@4 .5^4ݯZ{mYN%sɦ~'*lOG#r^k#)c#I/W~a]|I0 / כ]lP~W6~ʰ!,H ]ڡdV/Bl3b+d̗x#hvmσS`TC>v`t}L$}sYk׫jvp(>F{V\Ymn+w6j"̖:AxZ8َt&>a6R  ۧ VH]ۡ;ƒ~ L< WɜkM4l%& p#/zdYM0ă!|Ä` $H/d2s30ʼn:u= $*709P#e{AF }cF {`N1*cy+BU `*K3^5MP7s˚5872%*&2[&=ji&?X8yNb=^:^"վܒ%Sbm#P5 C"xwx5][;fgng+x?qJ4DVKϬ{^0C~,0\ n$m=r1hx%ZzVN&5d2n)|:YǯfAٵ&Jw`wG-< [ϰ m5@|`3YVf36P tvftp nͫj'P$wWd]{qؔE7cΖ95NM|1Y;=͘1[|2u-›) o9YoEDI({:`GXꌷ_7b~d3'j'GnH&Ϟ`A{+Y6>Qjjy]VP3|KOwroWF 2=ۮ `$jr};%mn b+) ɷm_ݭ{?yڞo_WJ1O۟'_kl!{3Cpl՝;toN8R"y)d)~7nIj/,w]defQ+윝\=5ݣ%9~0z" w%|pJ7\ " =<%<#!0CAS >l`2=߄Ao=^Gels+ I(glo~ `f7N@7v"4vnBYs#pѵ\gxےbwwhKc>>Kz >oԅٱksԏohͱ & [a3d˒1smwmx"O1dK)Cz0V;.?# A6. 5;d;ѻ ("`bdm {J@6"1nEk/ GъTOn`i_̦_Vic]&M~uG֐VhA_Fko[87 %!+>WVJꑓim鏕/x`$w>Ux;X:v//佋IewgF 6Y·y眛cjU; ^<;wt-~%b&1l6RFGݒ7~ szԚ"-o'eOhZuK _]!Pဿ"xH=O$HwLOGb"m$ٝʂc%mXyWrJɜbά*8G^7a˧TM h9ފ 20| ŚT΋d$8h/:: Wu|&ߋ(ZF tK:izO+!y?뒋U,|P?{IHnõ*ﲳ=fIUW"/?o ዶJ? @VmL:d!З 9Uxfcko$^8xk7~]4t3XR.kvW,`p}4 `*mPrMxK2fy%)o (:Vno{%۹% "^m:WNGui_+>'a"@SByɵ1weϖg[j\nl%b:_@N%>8섎,Kݵ+rs@tK@jc= FƐdKq%4*:X-x xw;03Ↄ k7}rڌ}:}~JIxdۖ$y eI{-33|'_ޣ1S됾GC~d~1.޶N+H1{I'4o/y5< 7/G@VAN_}M-=w~?AN\8ӝog=q;.>i-hV~/?$ՙRaQ[g ދ]-^]O<ۨ} 4p{2:=m -*~Q`Vdx|[Ŀ,^R H[z4dk|{%lhmVzn,(VIN(#9q~ '*&䳘2Kw}&%ylvn8ڂp e(hqE7GCb[5~H}u/Uڠ}>\gVg,[/ +W.&ٶSrd$$4$f[CZR0b2,$3  6_R 5I$5xZa0{~1E²:d vn g?genoAv=/uzٲ${'gǘG=}YEa_[dguޕ >mmc=4'I^Aȗ !M %Q> QEQ6\ooFo  8/xhO !<NZ @8ћ@ŻQk/D]x(xE\>pAwI[YhoPhȻgu__|'-/63:lPn9<ŃǧPov?ۣq т5ϱ-T҈o_<UoRt}b2c}yd 8M%ܵ3V[^~RGw%H؉ܸ!u&%)Ď# kc:6VC5d#ߟ/݉hJ2 r{,ʃ с ”tKc'l[{:AAem&:HPi Bef`T4a%2{cvO;a̰coD#YG=ڻ^3P:h*И?$Z7;.ܶ`TQ\`_{#ĕ[OaTW<7Wb^oɐf2Կ!(53`3ON?\پ[sJx,E;w#l $whdAg?X5wnz?^~dr'ًD`P^|G?}N[WAs!K@ ޭ! :CϷFy<huxe]fɣ; <.y:}h+neL4C}<=w/{ل.K +)Ntc!َ fj n:tּ>ټ[yvVql~ꋬ8Jo ٲ ă~Ql7[ڨm4nE{dk',@];/iuE[> X9?ٱ%I3`9K ڃ3ޥ?*_ ~9xYyO_&*?CsX|{OtO+pU∂{}wHm dg7r5(Ӏo xI"Q/`g-?|pt!w{hj;R}q1z5MiwT$W8G-5Fmj qK~s^eƛ|kkkx8`C,9ߣe/.LꔿN=mhVx{VUաVsڀ/Pf Q5j+sWE !] $~S^?ţ?}_\<Ѭ;HoL?=y/6{ 1i 8/޷#DoɁ׶nbz[1~eęWv;7C'؈BW^}~m⁸_CۆZ 01C5r[r$@^x窠~[q# Lh0p-ïCr>m8rb Rwq쨟ݻB~w b q~>Ũydvp9,%nn׷cB}c1&cCWx̀^cn~6Vw]YpqbaV m1H禫ǞFvˊj(̄Fc% M<ݪ˿uْ>(>aɭX9ɵ8Nc>Gm} os1֔]4:R=z2ucw_Ptˠҫ{hɗ9NK3e<121Tdټ]\IDE9P QTb,Bݫa-fʲR.( =fDc9 IIz)]~1Zʨ4jrM!ƤS0p_¹YY5¸~N6خA8+:4*1GS9%3H{ G΁ (go{4[kX}sЂ8r$(M]Sƫ T^B,4 ś{CƤ:>V%_:-67D(ݱd~1|v+xfjb/b fh_`]?%]5"rI0tG]QLppCl]cdhә VE/ { Kvrf|'lv,P[U~?7˾t˪ /;)ޣ_왻alV 8vv e]umC8L:U2B[|?lI7ׁzWxM|XP6U6䖀' Ƿ>lY|یą3E *O@+M¶ _z&?pg@S,xcwKl{mw e37b9򽶵8xϵou@g̣?xaY~n6R3Jd?6C*k[L` J^/{@8TqX]~l;d~] ϒ@҇o% r %Zt+~69IԾ?=mh0z.Kk|.a_Ty߲ <@j,/ ֭+,N|EW-!H?.I Ħ`&ZVUK&0OhM?ꚩ7&.v_WtIt˒Z\;^Mj_ A7hOxS%zҦl$?On`4h/&kݴ4V| 齂W%z0J=>[B#U_wz%U'ape*\Յ=p>lzܫO` p_r_8@z)A4.u_.ɮW̽=P}4V ZdP&7l7jg3]܀6C^-}<z|p cK+0KtaߙcS ˿M?>Ϟmzdq;+g!Fʔ wmG%ub}eZ|@[o?ol*6ОvVMĐw6[BFx;ท^K"dr=|u "m:~/ޕca?6<#vSBڡnej&:tI+/Nv ħb殩vㇵs3~w|NCo+X>6`t'޳^\ӵrphgR{/:I`1Eu`:ex =za,\Lf gov%o:꜐M-ɌpgV`$x(&*,0aG|:wΤ FydY}D{)BSta6YT@h78x{h Lf:660C]nXnVYQΡۖr]4md(&ɀ݄~og=a/qqxZc'âa]뺦=?>7'XD^50_d>8є Fqb&^tThLBRF} =& uF n0;'j_NGA3u}b|hxQ‘-k1Y+TMkՈ jx'3*߻g R=Tĕ_Gt,^39dҟ^`ٽmvĻƦ?M'mm넹' +T^}'pa{&u ~owSK)j320QCcOw@\9߻|S*򐐉qe[2-q2gBQЫWs]6c>I$9Akt6/ W6_Y 0}#׉>!ȒF A^ 84]Q2M.c$p!< v3{ͩ- /#s>_Ft)}||` v:ʗܼxr>{(yZ }'>lsKr$CL^D?۷Gl rgǮyщ=q>}TR6jpZ~Ch f zY +:lSÇ*VW |-8O' a_hX:O=Z s;}yS>{鬠^Tp 8&qGU.J')F^M7>O٤GtyY{->myӖ:znmgV-%ኼNZ"WpGӫ% aopicpC@O͏S@:ù duתhe"3%Q G 9cw<-#x;P^G×/Gfr"W`ՙ>{ g;`5\#׷ʒO^D{O$lXu}+%QME39,B#|zxF60?k{*"g22]TVxVH\AkXmm}j'Pƺ>m5q`FkUdqt vLyҳE^6#jjb ^ e7wK@WuHK  m7EKO~W oΦĺ>I|/z%,,:wV?g ]`S3WI?_pIaE*IԋCG~ɞ\8HF[,W=~'$Ej͞b+~*NMf[wSBk&4}+yc}<^aa%wQ#:$ϹIFH$:2 ?Z8EoW|ozOhXoÿ78G*"G?ONLDUO%z ٵ:t܂,d>YЄظ<; b`י ߘGfOPe.P:La1%n(d} BWbaܧ7pQ?$鳸sni}-'c Vm{^cOzRLH,-lwHmѪ %qon~_ZVRv8w?6);OflaΥ"I4@bgm,9x$E%Z]'f_vًO6WI~_9El{5y.Nj/tNp?u#Yd+IaS'(v3K?xëf>=U\gݟ_n%` > ZSdqeas!uOfIô`3w2B 5UQUԎ@CGʌIP&4vR  ,@xֿ}'K.fNR`g5 ǓaI'/xM .&}tN/@oNy;LBp~=3c4'UuzS{!g)Խc ќ W@v!y5; 8#Vqu 8ބ785[̘,;d@92ciA^,~E@Rٛo&sHd4D/^nŋXE|ֹk>/MJ`hos,t}{\vi[:$땭@LvCEY~6gy߯f 9t.iSyM_etCJu4[-euO{`덀wyG-Z ϰ&_~]YI 3lO7Q;+D^6Kv@%DȔ xg8'tdZ ~zgr7Iɰ/)Ͻ*I +1;g~][]N 6?3s*6Z>t:7jj*ߞg o}lgvdgrOjG{pЦu`ݏ(uJa`[lص^7Dl?\83/ۮZR|߅I9n{|E⫶O-xpXC1|j^+gr5,1_2_p& 6//B1(k }[yF_ъ#8"z|5s= QQ]"+~j*8nVubПNBd1QJK&SE4/x5Mk4U|"߮Wh ?$@w_2Vq>VQ&My;x~ke|e#ݵ* %'*pz 4gm4[vL(7Э&`\xt3nI[X|[ԚxtiZb`ID0GW.yM'tyiuBP]_%ӈs?)5Mv'^{Rm6@7;O-$P[4kV6~dX/ևX~+E=lwt~P G<3Y+q͖o{JrbUJ+݃1OC;B@|3:QkjNfe~Ÿ^WcB"Up^ZU7[ouHĒXt}Ohtx[OR*fϾͯk1f?{C…:WŬtΰ\`o_՟n{> ߶ R:ap2i 2ŽnY.uL8s7A-@ Μw8 %!no|N 2J7 Ԙ#u}N] f̀FA`rX dV8&U S(eUqn3s0ͤ/0JU`o_'\p m[Vn6@'(B* Ze~ Y:ˍ-7O64nOx\r Rq`O;s 0}_%8fR˫.α nd_iNSrUZ+Pv)ПSy \ nOMT]zeu8n!E/`,f3Xa/Nr0I)9 VTR,@g IW=Ee#0%" Y ID1^[A^b.uIH<Ez|>`\}wps`lpS[P 2a]JJxxcn\gєx`PO=Љr8:ǁc;KoYG\ԣKҽ3}Z[/ZsmVAʣsB̈́4 4+A=1SRǝ:'ne%lmlp]u2nIÝYvΝ?:4##L}oGk{gH4@zYjyI{WX/˿_z<ԙt6#% n%K}Gs3@CQ~h(z43Y_%E8|{b _"Ze|.K@:m?l;BEg~~z4ۂ g$Q? b>vB\ K9W&uK'O{NoϠ#0pީճdrz}~~ǰd.p:y\_LF|v0TQo~Q6:}5P߾CkLv!JCw`Bj+,T&?V%Y7IXS6SeȊgAW|bR0Dʡ]%c!OI]-%odWlj>y(u-=}~rl-͡< |a%Z?-Q '>]~"`_5~:x"ۀH7~u64K+&:]<*6ȫ(|ՉLy՝EUx+RғML`6'qtbpG>\>ӷgXopq+~_f͋<̌bUb; 8< $Ѳ"#YnRDs+r:V{o@TL6m0C Xµ}d̗EcIGCCkA2gy7PJOd۔|| cpte⃫:Ոޤ nH |E&azIN;V5zo~}_utoA/?Y ժa tƶ=Ͳ/פּhɚN׺ne;Pd~/9TgE>AW"`=tla`5O|g@ѿKo_6x^@HnqVa72g"e7nŞ*CH<Y%4?̏2^q t3&b4"= ]o|Ǚ>Gթ $¬tͷL k| tjYbj XϘrVg؄jF~3! Kz+H%38lv2( hq17ٽ~Tbfk`ð,sA|Ջ'okFAv ^ / F(Fo>q́c'GEj3]$| oN`j .pkߩ3 )lIe}C6h2Vw @$N\/A{V=+ @:&׃IԣOuK-7s(4EV4gk;cZԟd2/MųX=%(hJN8;zE%J b8We GuJd8s*"!eA,ŅV>Dk.$UëMK ڝpˈg$ouϡ89ήT(MA8տ) كǁW.Y>Y^T7݅9m j0$ A@j|pe[?UX~6l9ZC ۬4RqlX nA ;ۣOSNM3xY,Op`۳䍿K6WovAfbDiegI4n9Nq곫 olӑk7h"``  /K떬{f]Ljjⳏ_r՗O4ضc\g^bl {xWV5o&[z8xă4 ߁~כSs^O}97C9~3-]ՋgA}:&c `[\BNZG_\K9 ;2|oo~"??7@)㣵. ޖv/j3]񻫵A>"U9DUMo6xR@.n i %X8ylq2v)#jf+@U͵^}'O<L#1%'* 70k0E?˘;Vkg|(4cHl`eGŻF$\e$! 7ڷͻ骧T?Hm mr'Ϯ~1-2g+ubQ?ξN,~Ɵ+_g|l:M:1L:0C3^$K,Wb&+q*@^p_l>VV>u?pF<pr.]# C8 0HBDQ"r)=[bwx'yHc`OUߕDj='gyzM.XmIJ߸#ƍUV}ݷ?=* X2t`BKׯUëk&!#AoX]9~kvqM]`<pE ~u?|~?<.lFj" :CԯwwBdצ)w-~DNDΠ^o+ȁt{>>PǢNiuB.`0H>㸈Lr%_'`ʨ-΀++p§2f~ђ%}}N!ĩ-^DYsCw(QʳvD0s,} jjA>g|LXM6sJ$>黖7hY:9oprL*ck<`T֬b&uqh89ɪx{ 93 4yh&[DVzTA; K%Ws`Du}f;JeY:yWƏ|YğV}ٞ8n[2R3BGV^ft=lZ-[],#x,9>!BIL0oW5)~R_rI(n^~:, c3c?25չG puRSmk!>d9)zέ>F[қ^7t rij fJԋ~k@Xt=r2/ A2W(z;\N~ 7>zR:xbNMm<-;7oasw[l?֑kz~;D 찿 y؞5gX|/ş:֓~y\4h7OpM-6cY\۠}Ku<.A| .7XEаvu>, E}νWZ~Asl×!Ӗx/zfu>20%\jY~NQ9 ɟ^u`;?k;f%K 3xOzp~}S-L[YH[-(,*5qfGSu>y ܻ. ƂWH'brixnϯh/r`@/u5Wjt*ILXqk/Mm{&?}N(d^UWv85vRpudwϡiۂOgqɻnAؒFk:ǟ|rq&5Xiy0(3>RdҤx$-mUFfK6K~Uaςm:P**-w7;Ï׿Y%%nٶ c͐7:,!>࿕M8zdrmslԖLy6u黪_S>Lę;3 Nueb~߂Ӥf{.;ޫ`h '&V2^kb|>ڤŧ||ޣb+ǻ;c۪Nۀ8q $m|~VDa] ;>- Sp+MNf쫗~l %=\dUVcߌO[p0tf "˞tTCzCn vhlm up|Y2kL%W_]?&~QT"cgT3McMotjO'?;~aCP1: U.:&[,Oו=g/d =90)DU$ܠ ^-"PL9B,)._6%&0jJi)8Ha5 0r(`3{ ~Df 1#Da^c7"Rxv&tH2BEH,]ʃay g&SߠѾ=,ݗ2[_2Çsܖ}m/>Y7|%%,wNoZ!II3ן^}OIXS :%6J4p\fi`_#+'r'tωl`mɑB h}O%Jai%衭 Vr' o/ x:{p{֊rUr -_F$TuJ-AF.2ȣQvGNg%f Le}g$$YQc}բ%l;` 7%s=_} 2[ɑm6oT ^@UmmJCV<c>eI`Fӻlq?y]\Y !C%R} ~=Qo{VY>p %2kF?琵V $\j+.U ;ģ-ʸ3xL|X\sjhqY4Tn%㻁2 _Iк6oMcn n`LTdl~wB_wAX:ŶoIM _xN7"R2v]oL T7]D$*O*ȉ>_Ir:ix+Յ YhEG5tp#_kxMإ:9qC[;M ݘ/֔8d㔾c^!!W"K¬8/y9mKVݽm!p*1d+ |ǘv\@aM\(ً9:m o߶8/g^mM/_\_pVeHވ ?He\$^Qԝ&2?uxo'}9Na@\N 3-&$Ct)!p1c!7b:fG2n֚Gmq~~Paf!4#L98DSaK? *bd6et؁Sit(F0lSz˞]Ʊc~@)nGn@|)P c ',Y7 I[Y)q]Q})?dZ {3ҵhY')1o::VG@VQH 8 2̠(5{AQp7Z}=r4HY('iuHVǽd d2I+(姠I{ʘ~KF*|ƗN*Ȥ$d|2}HOQ3N.dOv@S0Ql3+Q@${lHdKfd*-^bkmdq3̅rNDу  o><,낲>/3ɆyŴ)Xt GSә}mHbå"pH|cU2*[p_ .:+!EgF`i;'x{+ f/[}-pWZ{- ;`zG%u>nC f~kpq޴wO;N99y.Ilf_CֱG8}QS}{f׿k[:xy,/y`I<Hz䝾ko$OFR`ly{hm-E'\å/ӡ{NϮt 4^Dd$=P Q?Wev)CT8U=P~uJ**ŗ dVhF+8tu_d[ŻF61"xHV&:= md/~to.6O{\~_hy.&=AɊlB(ވ3>o1(LW-Ӂ:MX>3ɷvX^jFWz:J'M\|9Ixh_?߿~zrhs=H#uYv203Efk+=ύڥ3 AOg,}] C~`+y8-bxНRt9c+lb\G~hE`?6'Vm߸[ kν?zDuC"Vj ;XMA(K mJ?to%TM$cVhӪ$ Uܖ,N}mPv +u= efcmUdro%%G N:w? -}gSɆm8Wx5JH&tp>^ohpqCFiđh;XȺ*`o+6);Ï|L(z^Ig&2j*u8肿%!=gz|簶`(Ԡ{2@W02"(ҙZOC5x ,CZऒ8ȿ+8d߻gIkC-֟u+qngfSPUgP#e[e[b>e(l2ym)mxzr-,QXyl%8ft۽&s[ ':s3b(kf<^(XJq)͖fbj'՗Nn _ Ƞk鏄]qL tG`U+M$Β"ΑzɞVYׁFY';Hlն;OzFM/$#N fu[nh`6jc%ї7H^#389Oe?9/E 7CTp2{. bYzf=s.H{,A ?%&Ǯ."T ##>X% rVm^C},HC"p ׂXOﻖ./tљɈ~%fU6'=C)ܺ.)_c7_\~s/'I/#߼-(Ta6G=|~r$%s ormZVf;VV88y"Q*p|Ҟ{?m6:DGw?^5#^~7bi?~Y;[uqe L}쿓PY:6_/q딟6|:XG%Voӂ7Hxw_V NWOHx#>*x,P^챀̥GZ>kag U.}Bc̃xݳuͬ- (~Oޗ|T ;zAMRT(? ?Yq`=Gk7<'^|n,3@Qz/}\CWІo1z vI|;8bOCqy; |esZ#ѡj;_?=P-\Z3 а .kg % T2I2Qfa9w Y VG蘿 r hIhb\f{w*S܌'P0] G7 w( mkTTG[zA|SRzN2W-np-y}q [!cYf81W o ow$S W pgr\Y' ]fU.z$"el2)9YT=SK;MkR9x9uIJl^0›IKw6 ڢߖ[HNf1w{LJY y*h2zhk%ԉ~}dJE:+ (=#wkgYD? ^h#lNe0zf2%q_M4M ]1v Oq-w:#ǗݰA?G0rßD1;膾~6y 8;À^l?sN6ؿzɮn3d;f"ҵg-oٷѶ[ Dm[0ښPRprt+26r eQ=ɬ9ְ.:9EmxHȮc0pͨH Wu׺ewf/ uE>>@p2ݫf ~W86~9< W^<xU]vuU0$[ql-IֲڸSR %I4^{8w?=zO?=1\+J pk+COޮ1>|ӘGuX8Ǖ.E#?ӠM>'z92s}0+@_mz UQ VVA)s&;׻uh ;eŎv4ZvNJ%.a[!D@BɴJYW58 ý>eK8&7ַW`83[xAG'ekovHN䒞%G!;Pqkxz]Kh7Sx[>bnWl ?Mfպf8Hpu&!fi1$@}PoﶪV h`׋ IՏb7EPӃW?^|Պ睹Ո(>jXfdQIģ ԇl\M?)U2|1&η̇jC$.i| hga jٿ4@N `T^6.ʎSL2`FIՓQ l!HBV5<:k'nС- Q;'`Ϡj~ c1ĄJoH6]3`PdU`,d\Q ǧh֖=GAOiB]mQd{u!㫭7)l6=2,/ޘݵIxj{9D?Kn5 ~#(U4+>|wԡޱɿm;ȏ9`lɪ3 m?S-pգ_ne{{]jŁG`Yq+!q@XV"<m7  "K=}ɝ%121g3x̢BV%})kfIxgkD޳d!g%ON؃>E\|3}h7 e=%#џ~0k3\*2ot_?d4_nG *w<\` 'l̮+*KHT4an Go% ]5#Mi %P@𷵵. %<;5Jf9>(5rO&tIPvO%{5{ȩG! ^gu2x^pC#;tPµ` V/z>:%oM6o:(rmWVe7pĹ/k)L.k~|Uc[[| l kY݊&I+ڠuS.o)<%Z1Ᲊȿ~닏ڗPͪ*8z4YZ5"|~i2JWĭ 7I dI4ᯯ̡'FO3 vm1tM,-znvwP曵[٬ʼm V<|U{YuE֭M|P:G() We.ju⟿VSJa糾&mv:m!3de KGn)|;R~VG{x?0ұKҭn]34ED6aԛiUVepuhI/ӥ41;^ 'vN-BQ򋤰9z4z"Nr1eooK#s<~N/ K1QΌ]˞ʳΣrH垠v>NɒQw8su" ig4`kŹwӉҖ7m_Z:)N$(P菒 +r|F]Ic͑還Ǵ rW1Lё.9(Va8r1fV cA/я}#iP$V]lN6#\7دsr{/+3*=:e-m_4KPm$_൬DYwҭD?T%+AuJ H>cI 2 Ԁ弢5~>~UW T :z]_lPbluOݮ=W8ᝎz6ْ%[]=O0rHnﭓY/+>8CnYL3< VÖSpaٙ ԗ~ӥf hwu{e7#k:t|/zk-:^+Ew`Aϫ8|7}밶{ĝ=">woxUblGzs  {bA:܉.^{J<)g=fş"_qG'mH} JBlX0U0N)OxI٧%xd/߻A-{03 Pئw߿. f~uv~t@zs*p-5odz݆X#SXmq8-?s$CN f)eD-:vo>~PVunƬVIrDz wN؄| `II}[ohw(BЗw\35Wt{},~j6у'm= E}%A7wkpoo3_?p海p+| t~xDi|tށԀm`>xKf~wM/zQI9Wt`%Gz ?UZlbtC㲕~җKu=It@$ f 34U~mj]3 aݷW }ȳ٨^Ճ;gpyx. Z F5TFY,iSJ|4vF+|>R.IoJC-=K1DeϬxnIGܛlmJJ f8=ϗkG>Ô V(7g˿}Պ;Zg{^ZBMVH<t64 CAP_󋯋Ac[ jި7[aqK9{,,SK9  .'5mqy?O yF}%5pUKkzD6gy1MӫX^cvI˦def;tU(~BĜӰx/unG_fs}7KbCxH_ުH7aHKe+5v7mq:Iݨ/5/SUH:\ٷ <:GB=&BV#g* xB>1oCo:^%lϖ/h|dngŷ˾CRjPS\--q6O%^:#^=&]dMN[~NhfP.'"É0ۖ4{?g "8iN)@xWKw 1Gy{ex?b*F3P2Z{^n3N.;)#OUWcHQy8:ǝ< @-DCI 4,YDs<'|| &DuUG*X.(4kbVGTE~k9wkk ]*| i{omYm=:<*גj_@f,IpLi*]fKolp}y0N^!6맳Rf3䙑:VV||X\q^_<ħdL{..fkln6=1|3kOfx^~ JOˁq3K}ү8fIc v\8@ c*J$C:Ky*-Uߢ@ ~9YcIYGcpi2Wpx/v&L#٬˖}&;{{́vG%:I@4$}l1xJHR= \\|3s~4Ö7 n~B}cq|Q.~(vh޳gHH`Q[~_[zQXVv7sZg=bsZů 2nEdɃ|]vSZ~pvlJ2լ;qvߛe+>XN6|Fa{gⰩY]|)X4O>PRr!0|00 dG~}_cc'vnGő LJvFic_TpY%bb^ol+w3yY9γ I7 %(-$-qoLNfThB8o/blﮮW\`iXYp#c`3xW5i{Cn%C(X~dO[2?̂~!_T-*YsⵟG6X "@%=-/ntLxx{u0,|"$=_ˋaIYA%`ˮ9)z5[)6YUfBǂw{֪7ϭ֢Ktr2ZJ\thG^6,C8: ۛ/7 ;2$gץDGW#^&P59Alw*.\㡍a0 &#ŮߕhB|lŗ3c~4lRiFfw:<ki Sf+g?% qf a}Hž 9OWMT\k J^WlG!oԷ~hC\8II=*sb[|8`ch]Mc'MF1ڤhNȖO^.px^K}wҝ$!n++Θ3YnmSXTllcn1 [H_c(ԢF ߁;ݳLj$qfC870Ea+Ԧ[>ctך9VBwƲތP @p,cZˣVB9P1B0Nõ w^ kCmNY,0\R,9g;C@"%ф#cԲ<M_U@E-?MLÞ ‘REASHyK1d>bgowt29v8LYc Ou<:$Iy;$t˓G2ѩ0јrhV?A#nȓ6p2?G2~~qtye?G1Txq} qO"{3{i e=3UJXvhFrB!) IbKX؎2*:AAjf1k*)|Nsɪڤ:Mwe=F9NVsd({1f[,ۢ=:Lߎ$y6g'QdWl$ V㫎BaJǑC'ed2m5]s 9ݽ`@vfٿ-:5؉3te0&ܯfbaeA7nGnuր?|$?8~Kw@c __zO/~zW__Gf?k6? ꯃ3_w߾lG@i[RpՀeΛH_r/j滒Փt֞}p~`RMw/Gub?̗VAAt~%G2(ӏJV9x7Hħ=~iROJl:HӪ#+ ;mp7%xվ';7G+:Fn%ţy;8dGd<*le\̀[Ymc kewlhwg@oA}Iku:Q" <{9* "/cV^<Х"y╝dm0c'[x5; hptuVTL>;̯bA:myE k"ܽ ~;Rb+ΝXY-\m1Q#1}w.2]f@%فotn%hGA-dO[h:Ck 6S MU* ]b{>is*xᆩ.&M~TXt"w7w +r M`}`+wl #TZ9~,}[xhZz)x1 le$Eg8uߓX'ڌ[-*ӭT#өp; zpW/.|Zt)[KX9px{d;o~g(kf;)4`}p~_&鱬^o·%>O'oYs-޸z-!}pmļBbu{nQh2;>Yjkm}$ 9DD.w<%,u=wO7MRS`^Z,>gf-G*7Vg%'n$DFx̮cDZ}Mœ 7tAxot)Ŝ<^{ުMX@4 N[l=|\rQփⰻ׺Oޣ&0JKiՐ&U=Njk[y§ozk}te2t)ߤߕYll+d\t#T70bOLb,;keHLx]zXN1\@AͪqQ) C6=+a?ooϣQq_{tI<:e"R9'`7kL Bj=sQ}V k `+)Ro@j.(Թ(hǢ@i|'۬w<< !/L[O I2 <c,#@<[ hɬL omAYl%}.}t7ɜfI_7pwKte#)8Hs^+^ է_WA@ 6,@1&c5x:[`d#[#+ ‰I&twg{`D&(?-}鸪tAxý\qfGܐN,8jpAߏY37|,1OXfhOs'ע%p(yo?C{so_w ;韾G5 ګvBxV֮|x|+0;73Wv->n_}GH,x^[W%=yzy#;2C~DoÛluLcw@٧|>}ހvo7xdQ oՍOV8&>Nbv=S$33N_&~ѣ&mï~Kx"ɿk@~ ^l&<Uar}x%e"h’'7.h0l >٣;_vԻ36C& a+'\ zӿ?(?An}V!A6Rv3c|%@ڝ{ ]4kQxUپe$_4+GoV΀ BYwAJù!꫽ >M8H:x#U X= ڐ8?|[8җ Ϙs(eID& 6 >DhI0bM._?=^QX<\tmxëkїŚp P|">OO9|7GKmp4{mE#3ur r{; zv;X뵷x3VʊNLbZk~~.Qnъ3x8v"ŭ'䨪+c#\)Oդ&{+ّ=_q# -~_^|篊U5[57yL\jVYu-glKHٝ7JU"$+Ŀ M,"LyVv݃8ٸ$@t<N/c;9Kc? yvӤRȡM̢>JU5bP+67ER]G bit6ۏ.JmWva\zCǐDJKzu= DȒghHVjK׭\V3τl߫/yq^^ UScsV41v7$KrNaj/SZSx5tq|7[A dGx:eueNvi%uw^<=ZÏ,ى [{,mB1UvI Dn(N!`3 f*Yk¦GKԁv,-w[kߜӲ1 dWI r=8h\5[p"r="#)d!Lm'ETq X&Ҍ "Kˈ"cx_𸊛d۝_;fd,:ja {/}yxN.#c%dS=/ ~sco`5]c \)bg%<ފ~dlt)..Ih8l6TBGK,ڮ2w+YuOc ˲ԇc]b:Z<2WV]'ͲV K`qfѝ3[`׮ciP2'P9%PӳY+/˴\i~k>x1>'=pLykgmG'7^倘0p8 '6>?> S,Yi9HddDf.zBfFfp|zNݎtq]lX=o7k+GF;ؠEA+QI8E~ʌr8pv;[536]~-8 \ŷU=uV>poT ux_o۾ Jm[AꍇpQF]艎xAzeڕUYUط)7w05z&Y|ק\0`:xhV ܠKTZ 0L/~PO_ .ǵm}g*j<%D %vm&^I5$z½"O&ƙ^ w/ꏁf^d:ꍯ^ч_.h_}T9O m{4.х퓝κ8dA/K& ?&){ӞV*\fgl5#ή%Q;V4=()Q[]ڲB@,LO,p=@jtI,LS 6y_ K\)`觋_~MgܸM[{)WU19$>Z:' ޻}p)9UJʛ=RųoKZ1yZa$-R7dP\'? hӃK'Kl O_A@IDAT՗ɜ]C]d]q 1vb-OMp]`(neْ^z.vm+* caKh]և5*h pA獯k0[S@g7algUƒN,j0耎-M;m!n6ȧΈ<&d7x5OOהּkЖA0ا2<7AƆɚWN0ۏn6/Am"5:O?N)K8_5yI*n|]L ُG>/~z[C5R^au^3@hجGY 9PL=:@->9S-|j#,Jfo$oyb"*Ꞅ@s6UAҠ;` D/0M YEHv،?<禬Y =t,@\Nqh,ފwp: -~VE|^˛>j,SV#f)1˚Řk_V&K',",%iwH-t}JΘ9ɕtU[1`^؇_/ Y F77>O1$4zOI0((,:T;ӷ$dw||o5ӴwvoU!3:15^}6ۈ(} wl]emd/8_R] z)Jz g`PRUđR;цh g#]'i盲`Ƴ9ik8jkKpY'R>0|^a7I"9+@uӢCgT"@j+H~_]E緟{]to~^˚*ErE4&xEe8лw.v<[LhuȜebNLE k2$'=[Ǐe~m9V[fhvן,oo5xޒ:eưd?|hܠ?mޭ,,;m `& )f3W-5(f^;]V6ٳ츕8Zo/{J_e+{j0?07/zC0cM3%PqȮeL0GÇ`m!Ye5 @m3zç6+3V^9 %%5TVUxL &<آ~V&O ә]%p ;-ä_\͚?] (9fuWU=0s;H 3=V'xV1U=fK%G V E0}%[AcQZP GdLY W\[ry*,e֧Tޕ?\0 ` b9U-=|R .\?4BOQ3n+̘A %{0F dV}V@uoO&^ǩpZ"V2J/`*\˯GO|1Գ Z_\e.*}v?n(u>jD z|D3^L#|!N+zx/}7XWG^r(v7YGŃ˞/?%ɴK;MJ{;w5z΁[#P&=8m5vk9 W6pf6':Ltw!zdz%|/J;7:'c3\c _,o菆[[*IJ$CvHx~αmG?_<t SV:HNxM q ]qSKFE})m{WXE@wɞJR>5?FW؉ eC:KF=\Ch]|[%FkvժݷWVaj2߹JdqU}dE¥{W4Y+UfŅzZBCwz.<0/1i65|QVG|ngܼـ8 ߂/oM&sS?z?3&ƟJVQC-19i^yv zÒ bA(ΗSHM8tS_*vzm>+&~פּƠر aq[%di앆h#cڲ$݋i`G=FAb!')1B0^6' 89'$ $}v(p3Bblf}rTZ 1s T'S"yn TR I5I+a#)l 8DjgDCk4H0oo٠z^'ǐSJ)<RgղO+0yEEY7#eG=Tdm:C @FO6f&Ӛ3$bf™-Y);};N3a8/Jށ,[?RYY N>fd . %>atEcEV> ɧՏNd1f:% jI7=A,^'ns2igѡ$xlxK 1ߖסl]:z H+etoS9} сO9fȍ=t'FxM7]! ùUcfR^?"hqN lSRct"(zι_ѧ.~Vh{y½h&-?,{{";iK+–-pGXUhFSړ ;S{m;:# zWv`C$ӿ~|:8/]<~_KK}{!F7cgo/~~y`m$ɬl{ٿl!;4~_RYG#ˇ={ޖxf98hdC?)tey5b\l^=ۮ_`_u- Hm}p~rQu$ɋ%߶A~ͤU֏KZܠe~7S06O|Jda]zjg׎ ػ e }fO|Ixpd`e ;mf[Lvo1luOQ`Kh~2TyÆCsەυL8i y|cG.(jб]GWx,a>w6F& !#9irK9x*# 6(y' YK݂s.p3j~ mŀჾ+[Y8`Sojkn& x6\mk+N600>үv7C? :| cl C']nʫ=}*]J0閭#mf!rR%Ioկ]P{ SAߖWmg,`^OtD VeUp$pg,/iŒ?zuYeXhmT.LJ/:=WJ.N'_o}zk %1mm xa9`=EF W<O}Z7*UvhXc(CG[Ν8ףqZR3!6!q`y׵!zQ/{}qR;(zYpm Jd8tb8L%!ɞH'`SMt!H_r i'P w T%賱-ileG2k,lS# ֛7@p#hP,L&e-hbg!iv#l!۲zٜJdi!47 m8=$?bzJPY[=ݹ]߾zRոAS;^蘭pp^f{,}y)ᚅݞ肠u +jsGEصF)f9ϬP6J&+CݒVpRr-0+fF7+svcQYN$=4_( }oy%lS[`q=g0)#pY oX MW|2s4=:Qoj- a'ctX楃3[1 ݶC쐙x`N}2`8zi}eH=7+ 9|Òi,uJ5^pE%oUdeN@ a_N; rH t>UX^3Wq$0{-`c;rg~]Ĝa07޳:jg#mc0MDGJ,2?כTV G?ĀYԫ? O'vN?cG'x7t8>M&kJk Lu؋cqr|H3Q]q(+w MUwAT$G'Ys[QQS=l+υU<$P6D Pm_yʳ]#_0os`qʞ^кcz'w _PgϞt/\ ENҍǏI5ٵŷrPh9?rs*>M跾$;6 4Kܙ?х?T;Zy\c3ɚȿm7,+Fq?)a %h}Ea1c!8F>5`Ů4]3 ̷u# '˜'ALy!~5: sNPf1ʊPuwƇ=KSޮÌ;)~q`nI㿜X80-W/-<_zؑ0;ŜѵsݜԞZ(<{t(w<,٠f`3ʿ-\3ԪJlИt:T=`|-}6kݶͬu&[:Cd|j)Y{Mэ*ψiy07,7Neh2hqm;.,9yxde$lŹlАθÉY4C5gĠʳSr{F mIC\{%_rwr*:Ly4g2=aQvfVwt%oKPk2V">$Go@$"-$KuJY%tkWT_$]t\N[]ݛ[F>R4GA;GH~ԖB|Sexcw/{+)+踗Q|E3م/wX@_,rAdSm A|\G79/~"/[7%۳=o>eNV|ߟE({XwaV¬`t;»e|uųf%x!y姞\0ɋtq[ tIGe Sm?7+M||O<1}KJܡ]HhHI/WԴb)D_ V:by< t.;74:#y?NtiZ:*a_<^kguOr`@Y|c'`l jgW8$w |?? ?]Ԭ\[zu~0U[|@ +D'R$N^~G?`*'W^'C:>kޫ[ t)Gؠ6fBP&X]>DjcˣM,(Αwn; -=xN١V".>吅q|b "jpz{ Z|vexRS$$t}߃߯*u%=+⾻S[1 b N--ΐ0q_JsnWc ~ AqR[Q!|:ܭzyTp@㇓t|]y 1K2,@uv{ָctұD?~`Euz,6Lժ-hGw=We=a~*'xw}ݡ+/4qlS0fYy EkФ=(st]:SL\ʥ&cv U 5uh2L;#'@]~N+>:P6=NgMP$Cl綖 @|*\V;0XHek4AbƜ;$:P61M:2aCemtmח@?dDoe#ƨ=C9f[U 8doxĖH3ň9q2zH pTu25C.Q/}* r:Mr,2#z7z:`>ZƗO`Fs`3.]Otg@dt\f^-sep'TAy) dfs:ǹ)+?%N1`7U,%g2[n.tڼ+XtP F mh\!^;D N$Ƨ moA.Fn^nkF՗`ሟ:= NߠÓ@Pd}:=2S[R\頁:3}x>}0{ҙs&Ő1("0UfLo]gnhIɔ*-#'9=9+\sIS߹p;}f=C8Qo_槢:lo_|q^0KD6*x=^cp'OD=~`^3/񷋿ҋ;KNiʈZbC X9 h'?oyft[W\?9^>O͇_[ ۪O=vœClX$ߠd`2i(Y}}97IeZrHP_㕶oYhNΐL<ȧ|7WY36YBjfG}J ;$^O]>$uL{Uvslqbl&cs'E6/}7Q6 `?H,5_8W% g2[{?> -~MTw)o3k:vU;SF> :)Jɂ߆[!K mV:?!A@`>L—%‚]GJ:߄l=F[|Ur|?]w&7:|J&=Ҁ~3s#&~O@v]S{`X{OdNnWILwWw_b.AlHf ^lnM'ƟrW`х^ʫ|?0c,z%ګJ*2" ƨ'O}@c Lw7b}6kꍿ-y+%S,θw?*:&xY"!)huV6 xB<:Vkt̫ffx'ungVlk]>CŚ> B꣡F̥}ݸNF x>]%FUņ*oRqWqcwMmr}Ej'C 5v_.Nڠz N+$HAVJL<7^v?<{qKȺR1tkOl@d cg7гɗ`)qIW'6;GåPo@~ݤڝ^@^ߣSJd[t0Jĉ[n5ILG'r8F'bbf/{d3 `haj&" .VLm)Jk{% <k˔Vds WA_0X~hf eC7؏ #1ѳf'̜u{0 +l1۫Znjҭ|d\g>ybG3*q 1*87W;%d;U~ #Y,ӛTb&e>k ضff/afb Zp NGbq8Hɾ jWO0L\:_W/a:l__hD%Nj%|EDp `~|tbٴ_e'cځ <&lϡ]˲-H eut3^!gy ظΆ?5_/r%z+ySѮo1bzdQvHz}4>ğc? \rT?^7)x7kYnMNP YԏgpޒJL}}8҅^xЗL3Ω? w{g'#ڦ9Rbc-bMap|+ljՏ<f{r$xkqgkð6J6Xm ç H%/Ћqcŏ9G# #1OwIؘ~Eh,Kul͏ qr]]g';ȣո:YIJ7.(TCSBg@:1Z{4v=HWΣ9曝r2 ua4{c-0`ؒqpR̊w>6H^KiG38meɦ/5Y. e`&h|Krƈcp ~גH,Ӯ(b ]>/*8,廖\R77X?2Ya"85 q@҅EV `. xl?:qGAeic;k1쏳Jņs+ڬ Vn˿ D#urz;oy{C=q) S]KRǣR.T64^}rHrpJyT{]o~{Y+yte޲o$ą\[; Z-kOmp fT+6P9WGy 0d&Ck'yK.O| !{ ׌Wfn%dv kLS`mvB.7!(QSE1KNC+Z/^~l=VGxр2:t.[9k0!65#=eW__nwůͪ "߾wlV|'{BhoRnmYAJ-ׯY}Ǔ{te+$^5P7/޾iV4[ƽtv/mY_~ImՍ[o<{[Jv/[ݷuf(3Oܗ^L^sx}%Po?(u8z4իlwxP~ixzK22W;Kf*^]A9+hL)>**vtvF{367m~gаal8 f6|<]` .P6A$uK ~2[=l`K%s`?%='CXŸD2m}zp鍘dINgፋPb_dC.98X NZ0a]0⳺nb°ϸvEjW;}|S>Np$%๡^c:ߪ3L)f~sR{ O8mh-5!n,l*PdM,}*~Zt?yyGݰ~wF6y Dtx/GGӱj$nxw&r-)a{SNnH*dRUed> %^Nt0??08@ZW'f>fe@ظ7:%u2) d#\]<3 w/d1uˊM#8?M.fk$f?)VFCLِ%$7{2ym3*)Rs2x/xrWED}5/C&XF9юƐC"@WsNpc&3bYZx#T843l]'@LT*Q8'7:DRzw[J9=~ӝpkk6F089xRhc)Z w8H+қ>rd /ZPlEF wYfLe9IEtS 8.ӣ~o@46)PhꈶڲnL7CoZFZB|ymn}Gkjf38OFTϩ4lnb֧:XČL}~YEK_5{H(&rLxcM<= ŷm.:;=* =IE;]zW~ez0N9l2'yfpX-Ӗ< _'=9v F3]B:Y]u&m9{x#Ci,']ڏ^t8V[2]N w Ӏ'F~Ko^g?:kzUs8 t1b+(+x`mL/+8 NkCpv2YTi+*{-Rmvlx|+JCl!?O>vɭ^B+=(#C;}'WB~vz wI&*JF@H8ҥ\v}}>o}}q^Tz 'Ǡ6$9@ZN@]_Յ3}>qVRßN`Rs`N/3d >7s@IDAT⑇f?7P0)'3xs#uhۖgNSW@j?޼o0Ld%Ypz|d{_D+cPhy-O^Ľ ?ǏMtz:}n5znYΖO Al/"'7%cy-ɬ{n͍ϒ;5@v.flݱmru&~i{@h=lmrdNϙt-^+U=+I%,4p1{q2Aݟ)h d}oy}rlK|Ic:t{_=~tv+f 0 h{ϯOkf疧'zO|um?6*69/rӝJ1dip):y3Oś~:. jV! ]sSOÍ _rtOKLx"N5d5Z`%ݞt0wbMI;%Kiϋ*= G_~)O=+ σ{Y+雋z:~䇿/_xIw!!-T%6C: IB.oO!1nc'/Hl/[fO _(KH,·Fw7v;lEWڮe=ĞObjH2@ca>EUq9tp]U |EUE^kgʂ} |Dqx ]^Ry}يQc]pRX |6t@:dپ|z|$?^OWN(V_NpZpx^ZMvУw [7mb ӇxQK V}v[7bujêN_ x֏r̿,%K8ﾺ/U|-dÍ0bfOnGʊ173FڠG\-?/?~鯿-.y\|{̏+"YrSi- \?pG߼cFn3Z)G~!E)0KM8=_*ï.~mIWfߋk Fq7w`5?5q++3ø a:%I`ŠaO{Ʉ%ldڔ#5)zbT~7S?gZ=dj̜'&|ߧdǦ|ϛ&5>g˪wK.TNOzp IPؽUplפ9sR-IpG{C$ &Fn| J;Q e+B? OrA3eebl5@Pkf@\M^\WE]Hqq/ #hGjS~J'fps3HuB]3GоLZᎽeun60)O*n+|!D(^@`f]SLD%!H̗{ۣ3ng:6yٌ*w)y`g؜t b9x;NFIyY TrYO@Cx|9 +C#ߜ/GL@mw%$ #iTzw얼ssVaWHc]uc0-F[–׆ t"aFx-K6eI5 CUl@гu~4ׁlVcf&yKO.(ġ3H.97[)nP*ʕS? Z06xeu,>+nc4E|W$hX N-Q{|-42})#XjD}|@7Amv\Lkf"mP]ɟ[?ɠyl廞Svud?hpQVd/5w90e*DwAӭflI>~_3/ 'w*۶ OI,qׁ[qko48EP<3O :38O'jy |$@~ /] `2KHYaIn^#fB~Q°dY}._>SY>%Z'},:!xtXcO1N0 reGJTA˒̄U,%l3/{:>y"Op}}4w"-hz]7`YtT45uER_yJt gM#t|VUDB/>a3z~@&6`HBOkmS3@ϼQ~K߸>7PpSJclJL9^X" 8_]$ÝM<۸T}'InXdɫDīO&e#q3ၙ/<xl }#tf[B/__MޙTCٝ7 1[+v6}_zdlD60XZq07CBG,%ѩў3tVOQOܷ ^::@@B>DpǂwgDȆ 1Xj;2Be׶5&x bbBY}k|bJTnZQD[כS]~LZNkG n?M8[npn<;U""E'\mE0Wf3X]#F%$6,>PodՔ\ӑ[2<6dsKXfywfo.e[PcႦteWg 9JWsdv$[ +hz)v-yX "nơQKA/g̗cVV{i\ )Z,/5>*\0US蚼n5hyҜx iNh3[nf]|d]fO0N Hɴ z]uuߕP!ǒ8XҿP$^o8. 9ht@N;tH`?1dYVtQ>ɯӞ3e^Gw$?`gkIiwO_4}q7W_^?kamF)toJO#l*U֖uߪ')լd֘U+K,f왼]k#uſ}6HY=@ 凋;/mr ;aub(@:'_׹] PT+!{'(pqWrߟG+TpNv w=-y˓,=Gl$ޔ/<zʓ:S|-K$xj#c{F<@Ͳl[ Onܾjm+VVC&tngH~u&oPk[ Ttf1FXW~~ogT~[Kٸ\s)i?>9l+}\d}>A[i^ WHEWTd0z,}U?/ qA]b|f/ wVupߪkQr}7Q&%;lV,:bG3 SjƋu=[w]`âGޠx/ݫM[:Ć?K*a&ߪƮާ8JlVy49Aӷ#G]{U{XÀ.\!]77x`.Ūo9OQgMqr_ |VYs]; ߭7b[DWһn=da+508PYmo >=^kE'[MrQ:ݷrT?~_(bpS *{Dq]kS+>f~snʰbX?u/±Vh $|_?zpA,gWBN9ܨ Y=v)Y,3% }Bt/#n ߏ%lߊTuj ]ࣶ5k_O'}4 21|A}l+NOnWpDkWR],7@IiuJw Ãŧcé$wA+5<)ßu|(j=Iǜ?2s+0{Ypw>Dd 0?t]|ɼOv79HPM݂$^P~rWt ZܔR/[lxۤ1ddCpLK C)\9KDNVoPa-.zO7x1.BT{fP^p20}Ԇf741Y> :, ɰ) 09w- n  D  Ǩ™ &۫kRRt7KtFl XVrz1!錖@Rh"cYuYMv!;)PC*#p`_к`ޗpPu&Xe hHSb{D<ާ_oU %r p-Ue ?T@ (!iW"68:  ZoJsYƅtC3`a NR,lGx>5%t= 2:&O!6V<3<,!]T**v &3g,O+&p&щ./ooɱYy:AҴiI"q䘶w>K;8}񍈂X}x0йHlVPi|H9% lk- 5F-GYw#<͆u^ɍ{qkz}5D#+=ٹd_av\|f9,}@@-ۯ-I,qܽ_Sāw[n6jA|h|mnLwmYwgU'Gv!2}ڻ.jɘ4`fa7I{S޲:}g΍3$r\!_Kk3/<]3wmK`uhf>{$uǽ{=MB錂mAwƊ2ч~[ wږkn6hEYzv/`lٕ$ -~6̮+6@?,F7h[P%P*a;Ga+$ 脙 ]ʚ+O̮7HC\+2~'T]?h'?.L>}iK1V]8{[|*÷ |1#fBPm6Ub;WvoDGnvGeG{w0vl揲 nvF]L}'ַ[/Is'bE8a!Xgb̼|`N~G׷ʪojkv6Ѷ_@Gj:^لY@_ykuw'*J4Jd{y:ס.}v4VɈBt֯i.Wv]#=vЅmpؖ`D@wlۋoKl\)N3}{7r6,-i*JR{^C(%Ua+GP֯*kpMY;J@WOb>:)z=Pp_nV([2wsӝ!tI>{#nƏc'F>A?lE\D4$fׁf[l7Sw{?=] tU&P~oUZ@_+M]Ed?6֬7~? ݶޏͮ3.FqDqboڊQDbC0NxpUxu c,'_eRd,h1Qr:]lKApyt*" @ʌn?zYJ /EeL 1-Lhmftƀ 0r=u%1?| c\*!3+:[QCg FP)>{h?~7l٣)eڀ328Dڧ(8w/yNݶ9r [ao DH=G{3xʡ0t6Հ);`tXuKly^tOEU.p "&RcPm7PyOR8֝.᝗iaoeZ{uP9w (e؅m_tsD :,>ŏ?7KK7EYfn0Ǽ@We)S^$-;gW]p^_+>н@X]ZFCedz>NF~3]u2^}+C'gڿoV ج/-*dZgG=_6` netlqx; *=-1 l갺-_{dVA"顕N#:NGjMxF~v3wxhg{ [qƨ=L:$|. km*fzz, @`/;e=а_o.^}lEٶp3[N%Wc8),XAy) o?6:*?}}HFHI܇lUG:Ko|j f+f*2ӷ9kSrcdۋ.XڞU }3]/i5;Nii0kLп-g?"W%Ngkn|}]/V6o6~T"x೭hQ*vt~X3 \F0nWaIll"&ֹٚU+tL1EWV6$CXJt?D@5X[Qh{|1F 09ؕ[ܾa]GGSķE.#t Kr: ;]>*ݽ.-wpwV,W^%0SydYt9+_UAHe 6xF\գ{ vuq4<3ŒnVsqEP`qS||I`S0#e<7[%C,Z wix̴@BWr=<}ߝ$B>{-.듞ӑZ: Hv=wG֝>U*[\?y$(d'Vxz=1hW1/=ZW9J59϶dU8a7I~][}-ddžmiM ._~(./ "+x&|<2!ٓKgP#hT3\H/xnuW/MpV}~B$7Õ~i-Ϛ, ;w{^0O `% }j&3 bJbfS61lR\4DwzN:3np 圠ϱJ0kKd׫^)Pl!^4Qd`_KZ*7\YvUIuXf<‘' .GN^N6CQ9f 1+. 7Y%:݌\;ˡd`ՋCt/c6Cu쟬g犆Q5K7?,#.ِo!%RLzsĖd :㍀ie[I [p_~H2:I6e@a)~d=8JplcH~Uc0/T#[5!:'< gbwdS@#BD:!3\L>>liST9^Iu}S,[hڪECaigٌÁGfD ^s~XB~baJ} pc'Lng}$'+\x ؐ+w/e.p_/R_:$/ 7/1['frGa z _/jynzp,:o̼߹஄C߿m5}aߴ][nةye*<ʡO;o o񝂘/}?l^ xD!cLcDp +ז90ңϞ|.g>8t^.xsI~h,6ґT+|6YW7ؿ^0?DO3ؒx(t)8uz+{|yt|?Scv9Fߌ {{5s1RA33mńDܒ`mwSȖ,hHmuXp}+.0TsL`*qQƪn{'Q;|Eޕ=u|YK~SN Ng?p2šx{ A 35Kpjd -dDd(NvY%׻nQKڮҐ^˵M! 2^xo!|$ V{Wo@tDܨ@tO/YyL8i7-*T7p~O<'͗kS#"tɛU{>ڳL?Dgd~x>Pv_;LRshù*W-Q Wp&z8z;|>~/k+ZՓj ~Ex6'P̾l;3zΝG;xמlAUc{?Mj_ 3w_5sCcOfV6% 3O | CiçC8% ~h?:Ae;W;U":o+|Zl1cm%X_w+g%MAQǕᡅQx꼡:ɊsNfq ;YYXgLX*]2FF7a E^jl&2 (9D t[\+jDIM#;Ix,U]7; ڋZIp=.X<7_%ܮhz\fb|q2yыMj'Yml.ߊ7hy}ltAP`WBq `{< ,DnBuͣ+eSpݳrY!e>*] ~Q>;]xONhϡgSցX*dBC1$6<lnJ 1wd2x~3DNіi0Lݪg6ڈgԏ)LmZ9`?qMn}tZP# dD(z< 1 D{rJ3$=x8%gsn@6P3AiX8|ݵ{D7X&;%x'h5{>!9̦y}ΏO/ n,yFӌSx9mY*ۛY?99c'=JϜ|藟zYx;PjM`qR/c`IHf\.8_2t[h e%d˒mj`wFO^w98$dl2K497NzZ2?U*C娑;4oygūlî@Sݩ>wMm%9T8JN|OVڟɦ&sAq>oU\%..~q|2/t'kMEd>Z0ܩW9ZrMu$9< $xϓS"ໂPz@|tt%/uL׋LO-h@wiGtUt@ |w YLU&;sUzw%=?~4HI'#8D'h?}O_ݭhu+7%蹕HVUm/g{.aTr E|K[Zx`#i >ڪeb_tk6]>i)H+jr<cl֊ bg$B<( 9-뫶J<|=p kw,Бazm i =\%eSiq1ˁ~knko0s4<_Pvn5 m% j~dGr8l6l8ܒi[p=ze>w%Oo]NtW=K_~ދ)8i+6Ol4HkAvIiq|"f&/q}5dMtz٬ӊ%=J7/u>FdR0%"^/߇{W$&:khF_-i׺c%[%;^h ^O:29ކ "Ԙh޽z dWҚ~m]±B;!mpo6mK̩c27g/jZjvC + 熫k'@ZxC$pKI% !?A,s'ur=^ab'N'4,A!ꉋAQ|GY}9x(M`Y oAs-'rhf=L댢̠&X19wC l{U0o;%[U/?D_ dͶz}[&2jF 3AQCq*7Yn{dRFh*DS1`'d6=Zoܫeꧫ>{\`T?^ q4˶CvG4zYw]FbXICuɖ{m@U+0md 9g}XW;6Уh]oY ԪzGe[¥Yi'pu7Mkco<*JWArSv]_͆wFN/8͂w}UJTbsٛ7;aL^πif_~v-?O#VϢ}=2jeУ~N9z}NҶm钘(ac!ٛW=&9lO*]σ֠3 ~߬_0/]zQ'woOv/[豙itg gl 6 6Еt0^䃷ls?y-~XRD;fԆSG>^vO;ɼ'0g[_H{\&G:٘IimP_{ѪjmuS0mbЌtu-B(_>A86 oOswkC"HVO%-||GRr8U\V+}Gep 8u?+Y"'Ʋѩ=A7C^.EUڙLa/Ϝ!{ej Mál׶OLd ܴ^qf u5\wzc`ANں!oYå:~gZ:lO;əK-~=1:ja}5Kv 8&V%rэmt|%ء38jV/^\?]w%N#,ϖ㨶-D6|7/%T>ЭV#OK*'wcB։= &پDﷵS|$ Qe9LF>F3{o7 DvիSوÿ Z'|?}nzvaDNnݣw:2-{B735|)Q/Y0 .%~wa\#/ٳݏ rC3 .݀Acp//7FB/Լ,6#[RN{Ԇ@hI f 3쁋}vRF+3_ 0.  WvN]{NL] lggc800zQ8g\[]ڽV.q$K 7ݻk՗D]H7wHPU0-XdY(QpbQ[-s P(q~ L)~3 V.4Z*SFF~)@w(CHcD/fm6g48hKGsNcz߬f3EV.-03;3#G3k,+J?1:fKnY׺uU3[,qz^`e=ֆ3zY߭֜BUWfsZM xwKJ8<Z3(<³GyכG%e dl`L0,=7Vqq_=% :9X ӷo(@IDAT GƒlivM[FZ NK[k9ȿ2%|e3[Ya8,G3O‹~]]0,`%tmK\Ph~^mgU*ʖewdgm)nI|Eʭ?޲ gLyǾ`(- s+Yo~V-5CL>`lOӹy!ɦm}*9>z`ruO.:eSQG WlqI5vA|v!I78#LK}y+/RMhw+_.?ES|k7_v}U}{^WzՇ$oVUی#{'#.Gƫ%KF O#ѵU]*dL4~bhƔѷ3KV2cr`_j{ǿllƨ>`ARrҫ.UZveT=ѦEM~ b9,CZB5dƝcȭ @`ˋ__w$8'ݛq'_8B߄.Mv7'&=凿Ld7՘60ů%{]o]+ ӡVGmw4RB(AE "6ߏplR{̛!~srtkW S݄uKv+)Oy":ki9ka'Vgvl A0dQ7ǧ}׊8FU^=faZRa&"pw3^NM"Z]#nlrݭpef}T4T P  ά Bk@IDƏN@}$L$N8  ݼ4k{Dg@Ňٛ;ַe7ex ɺ2G\cVr-5\+acbBwUr-tYW%y{Y>$Dd t)lclR]EJ' xǂwDsIJK۹8-z7dtr'iGÿWř^>$GP'?DXܙ՜<Lй?Dp  ¶>7}Yh <`vSV#Ju43+{g!ڑ?~j7󝜱V"ݷKT>6rQZHvsA1"NN•\X0>:7^v(Ƿ<_2}췮{<+"`A~(Jn$H]T6:ՉdbnwյO;ǽuwnow <>Nwh~ƿIT"IP: m7$őUu~-rc05EJ4X-/1B Ls8}]/D )vjMWuDJx.fzU?r:l(3/Ep=bȂ֧+Nv2}] O2IbL?Gf7SxRe,KD99U!Et9|&Z2 ~C23xQ{5g%QliZɊvAD-AݳDꝼKz<qpd3c okO65EkrE&᣽ ')]\:c!agןK*9]R@ljJ":#f߶Zf͖D;oCk+3[I ,NrfImÏ<ЌU,%8#ND z~+R ςxRӕu-9h>V+9AخO͢䢃cKA9xW mhkyƛ@*O%:3Zǭx\ D]қlewG~hG⑧d'B~l97=RA:ILҘĮ9}F{ʄ=S4cɫ-i}˯[mdǣ!Z#r``#Kѫ`񽷕c$A;Mꧺ{c| gx ['zyK]>g9t1XZ$uX9T~{|=?*y54cwNXK Ė~Z*9[ ZekyQ+2kp@F+C6C0.YpH&,ByTWOr񢶝h$BY%6|c_k,ZGING-c`"qcƺ`!od͉f cHϊ/zqKtյuЬY|;Mgw0'|h>!?D{ӊס)wOF'su 6OFp `BE㽺ڕ'O!n`.dPAleONyaw-+ANSFI1x%(AYjvt@?wQ/Y&cY3IGng$o ;Ʈz=O0\Ks>\}}H'鎤*ث7/=-y1;`knU>,<(VǸXQt1ɪz?{x7?9>(.Ja;7]?*d3'K R OrY{&}0 h}^( ł#Vu7[ECruvudOCP5ed9|/b_E>O.>KH"dc5B_bO;02;#D7r hfk9 |Z@٪k[{3͇WKRrc淝IG:x1[waRdLldBg!_KkjQ/ :vJk*軝 ę ?C\Wp PF |Dh# KmpK'`m71t`"ښE ȩ v 6f'S[Ũxs|(q26S̷A 'hݶ-Û*hfo=]h_.] YlK?nG9)=o:g#-'~,7-ɷQ(]o=gr6<+I{cߓ|;Sos0u|V<< `Fm`󤀝1C_ꮋȌ`.ZxfOi0;Zl;H6P(r%1+`zȶydއwd/D1 $Y9|U=NdTk $ oLq PQc&eGQ{Y!M&f]5io(;gk6YaDTڠ?zrMoarfYzjeM6ѻ ΝXUe9m'N:ɞچ%9+im'[;~.gckR5y XZzv +4g\7R4XCv#W S;g2"N$iDs]xTITCF`c4NR3G*ы37gm&P̮Anh<*C>r}U`-ʬ=:Wmaq}֮~Yh^㽿(F|^7 B>N}ùk1ukUg+k\tS?:Q=d3X4fݬh>5^f.Kj:u'kBU 7/=Oo1=gUC3Iec6QX;Ӎy.ØΧ hss*`V@ym[Pc]R(Etbf!i ھmӣvʿ> -yG2IVΒ Ws4[%:CTZ 3^ ï{KM8vndcnsN|W9<؛J*U~iß?[=KL~-Ii6 J\V`|m Ӽ-m ǵz#ZRlJlpV>C{@R /,cecɀL[2 ձ<5!"t\'73aY A9.6H5K*b,>5 Sgxt)nm68k~1{ROh z#|ZXplv-RD$(Qgn>>}*Qa, Q8`?֟eB;ztDavz5|K}ހK $b^~gG&'[!'T9M~$];?q %fn5cȄ\ŏxaF${fRǓh1yN%xCbRLVa+݊~z, ;[egԇ^ ɞG<ݬ}:`E-*!=\Nt?g#m>g]>[ 8U:m1(0_:]O=b xչ?t(}eYxV,p/J.ӫhfZ]--}iuU4Na4V?T01|r{:)AK%?=W=J&j׋W9xOmqHJNV6{=N2 lG9I8}< 4Łܵpdΰĉzaiq6 c@d?"ӟ^\{ m/`줠8l6;A׭6K}Gz,ͦMG.팆hHfm}r:2d8zjyL fiOmT6uCɍg!q2V]x}RAG*P'($p!YyCي.6ϼ-XuBzK;?a0N 72oI3DS4q4_t9sFw_s\l[@sB);ژPMI0X&i99D:!vv#ֽՈGf wj+dܧ뮃E_e7myTJj׽&7C.6ڻPWNvuIw͊`k#WgfLI <`&OSLq Zypy|?xP^H.;5HI`L],X|.|n$ əS5ވl!0ʉdQ|ͻmNϗr42l{_e62œAcYnI,V3 %dRᰃ,ϔ%Z{&RݫO)ٛzO?8[)QXUhozG ^I/;(ʁ`&[2g g3d oh%GKط[,Iv 7%%Y 0ql÷KPk3@VȜ,lY(02 eCIiKćpբ)=+0^:EW+g h=Zx퉎 nX=[RU< t]əI@U"-.XydAn~lU`SnD" f @3\u2  19Ah iẂxU>IuWlȶ=,-آbɣ`Ve} ynC͖ytܳT'=(XUC)B$/ 'p-8?.|VYhycGYb%|̦'/^ʁJ/s&JyEbnUxSa]Ow*|׺t.aADx=yS8_<# Vg_z1:KzLQ|0061:_lkBmY b >AXq`_~ --1;tANo%Yr N)VW/}|S?'1qt|푎9[~d}!V32Ǥk8x~2`G#Sn' N~%rQYORθ28ƶdkr8(Rjst7'Oo[IK_=Zp()ՙh~]1^or+d7t9yj>6T}Gp'+de{guOUck21Tc:4eA_yrT;lJh$A4:zE>{ƃϟTD[xcg0@K3vK}? y] JZm4X5s 1sM}ǓC'妷^be5j[c^}O>|,P 7YVG7WC +'[Bjn(YuOIv y7l5G1I< = vgwP)geSud+paUUʞ 6ghP}rgpOO7ŠigCSt2N6Ih[q׼,ww@ZD qP GXԺ΂HBS *v pB),k)rpE+AD4dН:ZFXU_2ChD39ƕm$ ̜Tα@ n O?7 +: ΩZ4^tAnmJ8X3Kh ϱ7C~O 9Ϯ};pTə n̄r9DD3˫瀛t/=Nf7Dhk[:Df}w,3r /I g0a{թ zރ##8Ye󞒀; Ϟ?9/J&j~7;аW{;CaSX@'aJ:eksT[wAa$<(Q{h[ Ʌ;iGg7 g#ޕ,GgT{`$Ž>׎е%"U3l ssჩbkgQ|Lv4$xP {#Ku.d YƊ!cI*k<Ζvb[cf*KU78oŞXhQuʐнޫuS`W~7{D]=y+j8g]IdSo,8zw>x+Hҧfc_g$5Aӭ6M<.L%*:U+2Y^ٜ,е*\o >~]pWbˢ:-R* /tKP5ƒ%}<D(.۵'ʺ_I?2{t=k`noJM$#U]m_?@R>T_d@0DK #rYjqߗ+M&5δV+$تTlI:\Vg6ҽ|l;ًZW :iQQ19Laz/=>?'gJ՝+@j˸gc@[SD1Yٰy߸$n_1 x'K$ek~z3no.޵mQIsLw&ϕj/pKd?0:{Fj/4Y>ɧd}iRb|핡@SM6Ux?.$WA^IL<}Z6[ĊR[vb>]G&3R z. Y7w'8GɞBeu4yZs짢>A/M,cwqh6:a)+̉;V&]N/mRlx,bm6x8t8_\ ~L2k|w#wN3hVԮ&$hQ' l΂V pl[,f;Đ ׫MӳH| O*cff3 ȃri,ƌ8QcGL08?ܣXۈU1"RW'AtSbfrQ-eƐL[s} 3gqhYYxdf}qى{y>#vߺۮNGBooP}`̑YYϟ 6*2;RThiʰ'уsD׹6G كe I!~NN[er]}ط5xL pN) e'ϗ}6x3r̈:FCG$Dk{^scG2N;6SPUZrPAhsǖ.!itL^ҏ>۸dK}-OҌXKrȠ$ `%XoAx w J%EN, |r[@͔ ;r:1tc\͕ z~7s\3D9/VStɄkp_[aZU_x(W:ї3p4.&eaӱ[;09b~n*YhEx$s1K$h v3{=㖯w8_K_f56k ]%q %(iy\YKD^iSϖ =55;"M>(2]?j<ۢj W8tR~DI cI0ߔ KI+qk%@ՒM.n| 2Q_߲iyNed%٪0.Jrl1wBh$8']εszBdm!#0u&?,]0WZ^C^gMш`YI&[lԋ.tdIl6O:.1ti;t@{B[@j,ܘ \)BhqhTk ώZ*1ScQ>3$՜7MOcvoJr4[W|0O&e x@OY.xI+fzythhd{IumO<]#?&u =. o 7Ic[$YYۇ_w,Mc?@&r3KvY=d @4^Dƺ}d˔ztlW3 [m\IIk'g"+, sV?mLH$Ve1j' (ǶFO}Bt6ۮju"C.̊YiVkr]۶Bݷ٣oV=>}M#z0 Ȧ{KD2j[;{ X֏4cJp(cTᩬdb9hwU8e\koYEp (x/^.ҞOG W@<` %Ρt zt6',%H2Jr|\7Mwiz@Y,Ba a`ǜQ&b_DK}?<::mx0ZlS_o ~Rd_X6:7PlI0:{ '2 $ y@z{l婗7]Z=Ƿ@aWSu|$c{L_m~іAνkXqdkBSg*ґʹ}/-د*#+e%BB>QQ2ɐ BC-8]@I~ U*0f;ly%W "-uZV}(k?g:X%G:]os.Ё ܺxy N/SB 5;<??|Mߚ?5 zЌ?h>9dgkWrY?~mw]mϷcwAo۫n޻Mz믿ݦ8K{km`. 버ǻV 8ΪIGۋYY8/ ivS+sA^U VnOrɾ  #;WOap1En HX+pYf7 =Ѿ$}M<Aݛw~GVd_ҍםg Y<$ C%S|k+0(ig`8r9EN%8*:l `%cM@6;x.,\qzhTlٚDm{g LN'm)xb([vПq=>Cvɪk$YUȒxjs,5.Q){2ʝF{ùKV3y 6VUh4?R>ĤGj蔩^hz^>%{x7+0a݌ʓ}zmei\?GJ[ FNteW2gCK_7!ɞL$9͟ˏ70:%d9y7Ysh$:/ ~ulL[(''ZFjK= r{6WLkk D1?wY2񶭗y&!3]}6Cϧ?._ZoUﱸF@0?]sm*;5Dop8c4X+0dTјq}z!p)[v{dOّ%JBrP<2vl|eLc&o$0}sݦ{ /(1}<" Ȝq|qYoeAƞq$c*Jګ.Nӛ%z,u<9 Nd1A4"L`aK˴K9fN38L'<"}(xMtʺT#*N7zA~> pYWSd e?8 KANv,/߼I -O޾iYœ'/^A,KP сZ5}ɣot3 sTt m>Ir^xo,Z[5<%A ;Q Mݻux[*Ç=eZ gft~NO͚˃xCcf8. Y?s>7/}ɞfr贙=>; ?E_xãpt1?Iۯ.@wXKR5漀-_)O:L҇h+* [ne~ ~%+۬6XMXw= KnQGrE?ǶnoQ/$[jF,6N\?FWlo+Ww*pY>1vXv\tF2,tl[-Wotʇ gofGǣk鹋f|G Gv~wdoO4:*B 4٬C,EclnKŒeMKp%7KԶsU:ZkVSj "=?Ձ`ߏ !3|6tA #䂆t+<| f\ ʩ5١$n(\{1b:Z4Jz&袉:A.Dx~p ~r7qB; H#"4ڣR +3%b[DlXe$`7: ֮s8%._ Mo[plWF mi~_;&O7ZN;/۾Ɵ)]| 0yo|-݇&~챶eC?ɯ ;ّƪQ=c)[QjTR(|*G?O}nۃ/.?xUIc6UmQ@ntANƇh?yݒlddo vcdo8ćdrO0UD]e&Q1ymVZDkڗ.״A=hAckkeK{FѢp{:mxnɽv`sLfN1 >'@ 6{,arC vߖ_Puc`fO+Dh^ړ^>4> *%1SZU6{ȃm)bGGl-OjE&96,s3NAY?u UP7[0Vaj%@+TRZ^#c6@\>l fSLG4?.3uP__xJR=:e/60կ ISyeNݭS@ ?hoWv)}}VS Dz]z"e3(usykfmvOz\6%v(!ڕ<Spc%=޽M#_%?"x5yo+ "ݵP tM ,ML5⠬x4JO'3S/äC-紣?zc{kR;%>IO)v%Y% l 6L%e &]컠Ԋ*@c8 5Ɂr|pN6F%ߎm9.7Oк uxƩIш./]MwUUQcWՎ =Dh_҃]&L-;8g2ƀmTh|~$/>_޻5tp%7C&0hWؑ+KFdKۓ>T§7FfӻrEY?.oK37/[qQ[3bzҞǧʮVP(:h,G۝CID VBG.B9 JvA>%f?'R,Hg?k_$.L\lJVvcw[uχb+/x앃{y%`s>{q>B wx//~Z6 v>Uo'—n?8uh^cIm[R#ZT 'x抋d{6}UUӘYsE+o/[ "JxhO&]ܯL~!_8QW5Xg2QV.ʗw63EwgU荏#=M48S[{P#V8U2~MNd7/\,ΠG`oOv٤򫫊^,FʼniE 9=Mjj'Z&迖T8bH` &C_tߏ/z fO~10 `ͺh{]spݛ-XZX 8"t# -@g%,hn1G Mn~L{Yn}V͈LG\,)P Y]rzP,չ',+> edx,@Lҹ|:5Kn'+7Sϡ nP,Ze~j/?e y [EںUzGy&gR]TF^_|Ɉ& fS1XGrForghuw EOb#098>xw] <*᤬7G o|{V1@l|g4qĨ"g||koM>aPd6`EGʟ3v%ßΫ$I~u1^EL($k Iݷn9$;{&(rq,\%2(hbv}_A뗷_#b,y5~ƬjFMn&CʦR^ߤ]siZjfU&='h/;c_ts}74:jX?Zƭi|\wK3F_7stIf_7c4N4TW D.'@W2HɳMB %΅ W >~>{ܸ_}__~j;YcկY7ưh(ޅ;`j@I1ucO}.}<.SuMv-Yz ({qo鞉14 _B J/" Ը=YW4[y 7Ox\<%0^ fd=z A@qs{V_~ۋ_ W/Uqp֖ }7{?:D TƻNϩvMy{ʚ:ƥQI ݌mrA n&K".u Fݮ<ʆR:-8IAN8-JL }hlQ$FK"]bX[-=Mf. LS`XhgqV.Rxk|fx5 q8;`m/qO[qngV+$*-% ^zoxUGLjf "TցxTj=}Vb!F/-YSHS:s8o3B|{mxI٢!ny%V=$U2oP?Tz6M'4DCpZq`AՖozU[{Hc~Vk9UuOW#c!t|/7*Οm4>;sv {%і}fMRU6iw]GC>`pya ڙ ;2Ly΄*SП%<% Н X2*fV2T!2(,>?KlQ5?|)-Y=-dO yx^Z?S C*of;E_,Pm .b_TACx2 [/b |ofwBǫ{<#=B?~7Wf{O?e͹Z^Ƶ]?eݣkەaړL+}Vn`ggx=Ԧl}zӗ܂P:]o[ 9@Ax A_ƸGj^b8yt-8)fANJ=Ŧ>>Njf>}1ͣ2v^B^ڡ^ħtf݋S' Kvaֶ3tlZѴ zD\,)ܙ5`BG%!dW[[1<~zwSB~ Ƿ~7o|*szIܝ~7@|bk2P8]i,O€5KtK[ n MWO޷6?lm_UE] ҋժfs&.{dfZI8˜lݒ|=2W{ӟP#pe/*5p(ھ_n>6YC&cbZLZ7x|Ő&}?x}gۋ?iSVHT!L?uiCP͂0vcp(F X)BrBDBw0=@3g fN^5²)6Q2[Q&v[m_Y$ps6}U&G/u9*-9% -i-1.V1,+g<Ul`RD_ @]?7l+k߬W(/UC{Sp[ǐC>ٷ#˟2fr[pT3N|mku/[j^08qΖGpq ʶRFcvP0oG 4әa$  j ` :Yw ˭O/Οb>e6y6ϒiySFq0,Zn]Hc:H w+ǩLeF_~'?Y}\ (D[3^SAc E,_ 'j[\x%b{޻xd5gb9H52= tC*}臟~ t;e!DfuLlfҐxd1U09[evLC:GoP^4CtVW=`ki֞}Vªg XI#U|Yl*by-z/i:/u;?Cb2Ǘ KV=luʧłVop_F6=nIl?'Chbr<OZJ/IҽceFm@j2{c \鏁.]\K4%[A?U ZF^]:&L ƥSI. fnӟK63Carx\+ H(IG}Ӄ 9[mǭC|]wILA {y&~t|>'uuW^$}ٙlO P8,bp$2haDás+*/z!kf`;kOD\3|TbpDmC7{ɛ?d>o ~R4UzV鋝4uc$\8(r#1Vd8pݏoؑh NÃ\d##8z_ԭ'>Dim~ytl5ԧ`?& t"4q}I0Nԁ̗ZFzfқ Ffxϒ4i?8C0ضC<6b=M)zj8iA5_JX&$08K 6x/ h+1S?KLkZiks:ͧYdŧeķ ᓴMۋwCwd}+Wm/޳+}R8H&vIoJC]6O|DHw6 [N Tt㍩m:]z$ kGoGa1⤒KEf:( d7Zi5۲>ǍIPȆ{;[F?^]T?c Ohz/&ǚۋOx%!]][yt1>>m8r:҃c?ݶd&@٩'}JIz*kB 6oK-6c>h}`JyOd3>{$Ac18`D㏪!ևm^#F((@:KƤ ?%[|ɥrs\k`UCs~t84 (SvKA):xlaPG W3[ WL7;xέp{ _mu6G챠~ 'ߘ֨:삲:e}7i0f?LSKv8ؼČnP { PMRJҬ(}ElmyĐ ?>h$Yb_W{%}NЎ_a?m3d`E^ez^+'9ңwi-m;> Z]V2~fwe|ɩc %>_(ΰ{{J7yfWJmal- Y\g~òʔOُi_e}+ÿvl'bƷ2 jmٿԝ|,vI&"  H'/ { t%"4|яSu9inrS{u~210wYl GX~O4rtxeS`/:׃u̪իo OpDү%?GzVo~m3v(d)/ tv[cdbK}A'Oҏ⧲VGdG[r\+l=|$v@m 'Ą;',+MUSXrM9rן7mp8~CnMz=+:&X#}{!᳹xo &|h*E}pX߃~|^U d8a;T4|U%7$zj{E2͒s-߭}\=r@Co&(OCbLH/VW[!jr}QV&Я"l #Dk}ʚ0X0ftivɼvTnsxtf}E?L+>Öta4} vh+jtsv1%'oq<]ͧyjSb詟#ǭ{߯%M/;Wjj5k.ŨIK~r,>YO0pnl׶ŕٕGZNE!V{1UK8 .~Dh?7 {J*3o=ل@kl!.VibdV%J}g;|eK8Gw 1}@kC;Xs+>[ߕx=7A}IYD?m3Y 5Lp[?yde+ eO3 rxu$ 4FŒ}n̍7ŗhLcWxOFMv]_xV_ϋyy毳@;e$dU_?0hp5N5N֘''&]lfIQ0%˖,_$1ة2")e:,J-yNl,USY2@#4˼͊5ztn5%k+'1Asxlq%-Q!Et8M1C4 o`YT#ޣk+Pj-<I .̨;Q.s˙<~0we^ n:E8o0)x@0s\g+%Yk[f6srϏq`GV``Oxts:GB}J~z`8Jp9Mr)ەD- 7ưIhK0=c K\\2Brm% =(/@G4R o^,6xWl5hf`ane|cDd>f6VT<~䢩6^3h2*]0wKySP}(YW,Xiq nf33?04`0+b&L7XcVC c~|N3vV~-ni6~ȹLxp@e|:vxs& o6AȎGK0s+/qm`uU7aF~+Xћ]ӫg5o|>sG<>iOH&I#xIHM++6GT7v[e| T?~Աk:Q*[2սڝڕx#H }~]Y"Ym)~@fK`Z-D~!rd{8u T>Q Vӏs@V~Ld3 |fv? ,1}X2m i azznuyI΁ܳMG/p:m(|Weg3ٟO2Tx&I~tzrҧVDկ\pY_D%nm["L2Rζj}gK>Q*AOg9 Udie/b&vӖ4OMzk]Ӌ?kwA͊7 3یylI'`Tō>ڎ7w}Cu‹~ [? _`|I!y9;}˱ ny2$~%peni.ES_c &O&X9yl7]'[CK 'x_92^kd{!}D. %^VtQiԘ9d@Wc\*u>27Qѵ3NҗĔvܯl^:f+|N_Ox'B{Co4Y"lJ!V}#/O?].Xb3%طmvL1g(@jm SŮS8#٘%ƄL4(LQ*H6Z; ?AuIx'f،fz[[}_ӝTUZ!#Rwk(ä|3^IA}r'm&ΖcqZq;%UwF9g{O$((_>X t:wj'$<6e D1r 4bFl'1%.qPC3 |c?  8ᬄ9+"=r%^X]aQ(y~h` 0 p F<A7i s*s͓]sP:ʃG=>2d$3$+8uN9˗wm9aVNRGH-L̟Р~bL w}q¬ۖpP:gG\YƁ'➭nP׭CnPAfό]ǔ<\2=a,'m(꧇c4. uIdtO Z /YN {ch0-^=vuK%R=%njy+w8":[QEC=mQ=QN.r xYov!R( '_b枉%рߞrKO"7*64kr=<5`8%0f)8{ =6TOFxO \aNLc;8`zT J8m#ߗ/_l=!]I{=.7)Fr8!o AlFƚD@~CM;J-ߕWEgo ?zѤ{htϠl~[wyv5=Ygm>4o_%a+%;$cf6I.m>ЋNC?YY:kax^;~zO[^2m&tGg($ cm&PֻLDlr f8c%I]Y 808s/>8Jp pVn}҂x=*GGby{,>࿶/ :teExhφQ0}tU/)|StxoR[vR` 8Zx v<8ɠ2tnN<ąS\yF ڔ-Of>O<=X <p:wFH.Π,Gu?M1{,"}2k1ܚ$%/;{'dINFqfcU3b$}|fvJ=h0Y;}N6{ހa/tjݷme_}Yr^R^1\wߏsz1W]R鬼`O +{BXp: ZVOTR=sH_R ~~OBժH :':,E^~sɖ|ƗSo.𻿺x?- Ƨ`,nĝn@͡2nT&|7o4To[3i4f؇}h7]ϫ@oj7%V-& ߓ/7gz\ Q[$~vptbbSm ƵZUxg+vvɣn?lj v!y*1qfS|Q_\~i1 o5gs8l2sVSbz>DыM_GhJL&TlM*SY1}lGʂe굲Xϻ` - 4"K``r8.K1b 3vde$,GYCh-3c`H0?J6%4&cC:!ikF9KXv[B@b8,Eq wʐ{ܟ E3^"`Qx0JE "2_Ӟ=w} MꚟgƐ9{'f@;JBBAVTB' 8pX3tli[= L6K%nx,*W&dLsNlɤ1tOr6s'yG/tq}$O<(n@IDAT޽c#n@0lB~ |U|r-Lm@P 6uP՝Roͤm)YS *f~b>%!uj}(Y4p\y!HGU7d3ts;}L&WvpCꋛɒW-SY$Ik0N_3aKJ ӝov62T3 sz')zM[&ub)IojK='I2xo[S۶`}t$YM6 2tM#wXEF2A]vUc>H=(FmVM8͞-Vj[qk|&^|M);`mzTY03ќ_(A*UTշ:W,>_$܊<<ј/*V}To*%e;<~ۥxU>_—M~JqYůw_JFvOt!+ t ;ZL;B1'c'XV1 +Z_XX S|Gv4/lg& 7 ' ֨IQ70ҙM PYM^'@HltϻKj*^!VQO;Eec*+/ V6 aﳻ"%'@;x5nne4lk)/ܣ7A~jS%ypaOQz׹?\u]Vַf?% |IõB:' g[ ȵ#TƐϒ)psJQ09EL3?E£#cP')>)͈N N/eEE QMkzIj^⁩>Ck>$toiIjWG +DoOedu20g gX'˹Ree7xz $t[f,hm p;;9pjž ʎj'\Ib6vN:C$q_OWUHˀBﺥme@ }􉃰jA5tI\-\ǷkB.Wq~s s~I^}hyܟpst?HԌG80BAkO}m [%}X'rd ]q\|Ɇ>JT}4Xs46"[pc8>p,[B.}f,Pe4kékYc'K.`78 ֎rᛗOGvad`оzr)_0G n[Ϫ{'~Ӳzp4uR>kɏ?5Xo}So%wV%g>dCO.*|3~>e#,7OfvA|t}|"pNf `,QeJ.8IxneEry5HwI4(MbFF< |łU?k Nn_ [To UO:!|]"cK8܃P'S -tO+V#J+ѽ0=2җk%T7tyy `Ֆ6[M#؁~1E +_aʳV8(BmOI>_ځl/f}2^,"u*%ۍ't4Ӎ^pvJ6f—ANMT+ޜ•] Sd3߼zp|ϛ,k`/lоzg*.)gYWlq/\:x t9C<$ܕLпκxwJLHGb/C2YUB(U*Gp)V1tzkȗ_R&b@mmzR-o?ĮU\O6HBoͶC"ObX$Da|SJ?ИOR H.Ei`np_Oã9X:Fp=zG{`zM}οxvgO{}7/Zmչ\VY.?!zY Huzy-3wmQ[)vϪ d'FT'87Z*cuU3yгX~kfq`&pu;z:~3,h{xjpnꊸb,X$zI^QQ?̾}іMu_ch/6==/^N c- Lծth_e$m F''st̎/}&C#>kil*\>IdD %a𜲺vͳm·;.r ">$crfd)@ B7{&l5ΰ& ܳߨz `Ť`j;fVbTp+k-߀2[n(Z>ps8!1eQbMQhP%{/[uk h7sbPA6PN%C-uZ̟EjLہV 'N 8$-0eub4sD'd)!Qh [/^8#|YRbEG{)A \VPqZ%>K*cx:zW39ql_lL2Zla,n6N h˥ *w/^q@t R5,ɢ% Vz&T8>wK3tzKS肁VIK '`k: ^@v$l.jw: q U}lrnA;N%_paEY$)׏sTtٹ9 QGNqeiUf/H^^ٻǣj jN2f_V "[#ohql=)x ;#![7_tXft_UˠA CE4"Ae7ZQ/}m@oW3/>ޛ!Y5DG?to>~(}C'̵V9*?V+]2d_cp0mYDL(ӁLmaxkiy7_{K>#0^G3HкrOCK`lN;S{AYùMQHqB+*v0% h*%X۬,F:I$_]gW]w>:*'pn |!mݣC|}t0Yg\o3KB>qecJ:`mĠ1t s}ϏG >OmV˗VDWi3] g1}ۥ:CDokV;[=zrşOz-NfMMv@q KztnbI$po+d> WjUq= D<=NȮʏbciy$}G/jV[%u],DIdL( nlu˜E*^u~._l:H$W:8ZE|ci$/9fxUv˗jx}|?r4xJ>#z 5Z@o&NNKW<#n%Ou&ywUV?rNqCϣ\ ks"ZnE?1Fm`V#s!a% #1ƻe(}\:.Is B12cdINO ~(?ʒsZBl( opfl(d q MP*7=Zpx6@c7Z( q <҄N 2e+À!,[AEcdCA7(U~UhzXyhIS`D{7fTSgFC2$}YRp&dFz:dHx{/) \!=X!ܻg{"}0$e{yLek0ߔɺ'^xDt}: nEE@]72t}|ǵqaUr_B2-u<@ txeO|АN[m˅]Aa֘{3*/~]IVHog`Yo_~ly-*G۟/}%Orř9c.H1z24Pxq cU]QR?`Ik&ny^Ǧ)l)5Y.εj:R!Ҟˇͻ^YeB'zyktk+B%%7iɷ{z˗?K‘z/Uyf#Q.9:]5ȴ:lG][lRo>_B|ʟl,U38aX+S)g kO¹sl^ - ACO]V}_ y>gh%<"WOmY? 5l{FUkgZUokO ߏ8zc88꿆_t=<g;b V"x:Z1F7/cÌ S9&:ৌ:N2?3h(Q_w:Lb' F6}ܒ`b#~h0E,Ny\]sHkOp1槐9bDySΌ:;_?یaH-cFz,$𾜽)mr[SdsQ0uppYjv fJC(g/'Y7p(G['ap.F9g}x{Ԛ9JK?ݴԭU30̾"k/u0$DhznApsaz f \,n@uzr=(Nh},]s$ϒ]% OrJc cLCt7ZxÖ()  FCՑ<ޣ%6]!G9IҘP&%\'58SB:\k/gts,o_f×O0nO-͗ ww+ħV8` cxy>ƁpV:*=1}5~;uyH_!۶ǭgg' {M1]㯶8T ퟔE@&l1IᕽW}A&x݋x.^5`!]0n VI*- 7:"Ȯ>'̇ ;(9[{9PY%iӯkgۆ]?T"{l:Seo2%өUai6ױoPx;A.' 6>foin>uh2cKxٻM8_<; gI9>_V&Oчo>#~I [`sbJOl0A`M dJ:ik8c^7{];KR|:etϑX͢x/40EϨD2:~љ/'x(=~fw~"Ʈ3wݒc+^pq9O4[)I7v:gh:$U;ɳ&I(aٙA>Z<O%Xg7 xX-o>pT/h.[Vx>5>$q:ZwS*k9Z wm$;F#2Hn/Vžޱ{NE1y*n_W/p˥Z9pOϣ^$7Ή@)̇YxYi ΔWhI De[9_h7ߏ9}!8HJ֮.C~>H"d%hc2'$p&w:S+.1A[m5Lg K)wV c>]WpV&^f۹QS@$.oe֏7aL_,Φ>f8nХ8mߋn{f]e'5:]弻6FN1K2}d8;5PbJz.NC彫I7Ŋr*|teXQIv ~&VXZ*BX)>A/]Ǭ.ì)2LptJpXS~mlƳLnl /13ڄeQ54R|OSD؉ l^P29u#KsbMl=ߥ?<L猻$1vmtXm2 jijWO>6#bWc=n CgJlYyRݪBFCAWP=Qv)}e9ɝvdˉ0/ q0< ^Lء)))Cp8[|T7j\0~Ds."? G{wPT``= bR w{% F_̱'x̷* 󢰔bgƔǞMbYMp$? p)#YwCANt yS9fz5{y:ERAeFFYsxU'p!FJ!V_~?/9P Sc7 L?6;]lů{87dMƋ\+q$׵DU~lۖΕts T^LBzw]V.@%֏ZI zߴG_2qɍo 隙,.NG֕gNKx{Pؠ)FVt1뒄 ߼}?wnvdH*(m x?mDw~v6@(xԁ71ҶZws?=B|Tқ~R뗲K7`)`)zѽ.]:Wy kKk<]IlrKop%]tm;/!8r( ݒz/m/݅txxgx!\Y? S `:nNﲤĮZ li|f_yIv(APVy6\vRvc Y~ѣgKWkr Y+B/ ~Q%z+7}w1O2g}~b;TYb@Tz%.eP%oX}g_nCyWx%jmб~'{MϽ允ڣV*=xJ\Q->AߒroTfwmQk#ew]x?JE[yJplmUI@Q]KŰޙLD+Y[}=ǖ^爜ƙ>Ehþ-/%Fw؟uԇM|!0}?ųūPT$ |cC8GXމKa6z2Z:!ad1>t(ZBArӑ۶jkI=I +r%­??&_4U|+·}]T%z[դ|Pq4 e/,"Zw.tINIVll_80UQh3JD|21I!IO=_,e0I|U $vK$ءtEJRrG>`|ƾWh,BlGm" #D0;`+B03 Et_A fGQUx(ggw7(DpdPR8JU˖ ĸgd yεGuIgUGk`|8M)fhfu)nE f|,dtSЬ 3b-X[cbxp\`)D@]|Yӡsh9(-S509RYـ)r߻~h膁)w~yˤR=x&)=r8bL_AٖLq诎Ek)]]duxI7U=-<=I 2@GhidVD7@4h~[% A7<{ڲi_ϩ7#}fO E|YfB1SN?Z&K~dum>VoCa>:{N0wlc~oU{" 8AKTN=ft^ IU;6Əylf`/DeutahbǪN .ymEVhnIu|G>N^[#ϻ׳6y3ZzfӕHN?vӺ k ^PIˋ<(Q 0`ۄ+ Vl| &=bowuSPU%Kbc`݉m]<{91KF懯<1n՛h严[N^,tbSv߻ 2 f*-ÃTkMWu˓A!%m|eM"oUpcN&Tij[hg/ZIՖ\q KWC#u-Txlb0@ QDg+}Ɠ,3 4Ŧw'z'<~\Bߟ>Wx~ój (+2 X]0zMx|G1[̷mCѲ͎J$LM/Rʵ/ Z*3<V2%衶4ՕԖ,W3 Wޫwgui-yVTM%oΗ >:_Ƴv hǗژnѣ/ևMmgl2FaDuPQ? al `Q\`Ğ 09HL`dY((}PJ80< |{؂h f2 LЃwv.qp(zn}[b2,2`fJ &d6 S^dbqpf/e&655fV jq{BÊ̿vWEG|#}ư`GڎV n@@{=E4,"U ~5P)shP::<ӿCzD^y٦4Щju C688}G 8H-O@Ѯ{4խlz{ p[lmur z7qk>VKsDm5`F)\zyߢ t0$޽ߓخng:D=}ԞhKzQcb4ZPGOzd7m+l:֠OxCKyJ:cU[cX$} _W8G§Q5Oy&o~u\Ňeg с☑!F>;/I7_9xǧCԄL\WM,)~q!8`x T> ATWr\X]:sqL]˿h9-[%{^!4&7n+wbd\y\51Fuw`%L20M| Tu%C.8fxɛ#tys0$8:EV'黰|ދST];=~t^=$yװ}s//YO9=!BO'}>vX3`Ǥy,p9y֏ odC]c!`{0@d3?c8!yк7'c, ndh6DaI`RkkfojkS8^͖[6RENj"_lZX-A-~C]QJ}JO]83Qex]5@?\!s?O0{ hF{l=!U=G=y3X3T; >ܴW4VBIjv2t"Sj^߳j$:BmuBFf7%vV~.+v.B0=fQcB$1v72g&!z7Ͷkj=9Hhׂw͆Y~.ݾ+,YRdIOo//~Q?Ι+'7LFR cfs7緦#;%b63!OًVI<`oYvrٲMl`D|kh!eisO(z׌6J2Hxz0R}/J$`{P?ƞ,\R4{ "F .}_kHN7pSx}"PZ:O%%F6NsfoEqr [s{M‡^O&—UmN]_\b6x!V_Ƌx؝%7cMG|S8Zw7Vh.Ó|VUIf.ڙ4흒!l/Xpgu{gY8bߴGKjaLpB,2elk5Fn`N͘'.nAg1 d,H-kku V=?;YYǿ/ׯ/.b^}׫3A٥2>o%X|d>jA0hraarD@IDATZrK`|y񻿸xj5|/ӽ>vqF4]mM? _ ^Idܨ-,V>UF>{>FFo%n,i"\}I:'SZdce^b[%х҉+ 3zZXx ^*o,}9b?'b<: i)9̚I}o{:9  eGtFc'P0W9&03`^kN>8 Cxdtw N)։Ԟԟ>|z`O_:Kϝ-={’:8p2vfd b{ٷdo/;ذ9E."|0vX̓pUPx`ޏG#u$y d+0L(!ٳ4 辟Ze Ԋέ^.;_'fA fZv1'I/`{]tb G/vޝWoƀA;QK2Z3ist}sAU{>rӡ4~ =3foÇxK7Vԥ7cmvx})|]*Ze/FoJD |T-Y',Ҹu`KtDӓdpz?IB;߼zsqFߝ@g#{ L(Yߚ]Ӹ}O?- ˶]y=7D$IHEU*r HB%N~{^kc5Lof/~[B[J@IA*v{v'fot"<PLGm (;M1idS?~4Kj#G.nnq -‡_A f=rB:D'xB)uu{&ۀ'xWeȡ8c|EkJ>AYȞ<&mDrj uܻNɶk#I\lՃlfi%pmrlY2pK Ii߹Wgd`u̇1+>NwPk#t[Kd7>9b%Dxmj9d7lm۬Kb1%>3>%VM>p^^=o,9ug"@cfKė¹1Ǔݣ>:pŏ?7vo M"6};?۟}d`N&Bsi3txs5ƥ2h4bVg\CllBo(yl{IKF^I'_u⑴GAK#J?sG%n]wdWa弼ob66\1z#cg4_5KD7'OMã h|@x}o*?i+:bI4لm t-G~ x+Ҷmߒ6;_Y6}z_5YV7LH+ޔ ?Gx#Ř۵ʁ |6DyD3[Vw)ƌ$ | 3|;g*or&'T3f.!j5؉ !X 7g8 O)*.1lP ۜ"*MCE`T"5"mIb2en 92qrz4bdLQfrK- z }GH:aUW.u`:%]F+|C fk/-r7&FUnD@h;z‹{T?0 0܎OQ3A0p❁RL(KU1Wsx cݲv"Ll/aͲpn$ǯ {NDܽ+iq/ӻP%I6![uz >UJ?#Bߛ񅽺ዎ/wplj5 ן&Uϼ}rlc%)e-0GA90u}H+e̊ |%ԣaPhh3e %zg ޶"oo/י/Z Pt:v/kxĪhZJg#_p$lJNo˂mtwS'a<'48DBK4~LC5jצl7<\‡\b5Y51삥ɯ+Q>aȞ1^v G,(̸1}vB$<*gE4vYiDu&09]Pt"j rI4mYvǷ|o*:4V ۋȩW/) Pe2)mPwiK !F/NS ::WU=ЄMd$}b_|!W/#fvFxubW5ʆig~fUeُd҅+xiW 81֘N!:<6vdnE{W&3ѥ>wg|5y (TO_ʓuVl%@FpFvM2%a/e4wyk{T:YMn[Ϥ>2WRc&>\$VkʋY#Msmrq4o)/ NY􈽧M[J^ljM>8K(y666෱";

N ۽[.4K.e1U؁ID cpdєM[)AcBp`rM)&R309vcDa{$MR¬Z@.؁a}rb㈽$q3fUPZRpG]3ɜ8H&sc D3;L%O ρbG"5c60gHZML>˯¯%IrЊc A'`yc`#}ןNޒoIǠJVo h@?&O ǐJof[M9:{|*0T&ÉtV:MQ> @!Ⱦh )?٣J\ݍ[]Ctֱ7^8<8mw9?= G:M6[g7LKy?؊v-5JҩښC˽%@,C3< !5[3Qe/j le *];i8[lY\HwI*Gzlsb$lg!&OřϞ/~cl׮ouEx޸=aV_>X͐sA{_ow4% /r$ dY3|6gg<;ig2XŽocѱ6-;`^RI qVmp@SU [=Ǯ&g"Õ -{/Z`8[<=۶џ }Y+eL!Ҥ.zM)Ou; vDŽ%tZᢌk]s\ R4U#ZUm'ί%^zg?ڑL3~,#IސڎۢlO[C_с= %ZvV6%Tgp|a|{l#%b2 1W/8DiT SwmȅaBA}j6k:{Ů4Wig_>x!Ceơ\.(c+<9>yS^Ejww DyN)jҭmKa8i/Xn[٢:$mŞ4_qykRvj+2KlMc t _k1*~RicoV68[Q3Tn xo P[䑟J*-xS0Mz?:m7{imB*mjjxFx8y0P&or=Ͼ<{x{8M{-'~ O5'o|O9Y1Lyf@%HeVfzOnIU{'l{2@sbcv/3j| PNIx@f"9~uO@^)XKV6LFd/U0}m9~/aڸyIM-O6]2u۰z8&}Vգѹ % \߉&p;r7oغ3O~W{Z9evess1)dwSՑNuxG$\b'Oz?Cœ]oCA_ZF~w3 !L':!;'TYuzHT0$ P¡v I(DHDY`@hu3tfGpBYs%*c'팉e{ G~[D|^;V$D;KP\ދphf}SjBmNUk208bt]fq| ڬ>yR9xl@D퓺;^nI&TC`8TUiJH ԧF2^ knKj3s; 2g2g۲Dv^>րi9򚬄#9B׺~+X\]|)瘏dȚbh6[ >IJ 6+x6W=nKsntp#2w*I /f1 }=Jc)]p't72^J$b(ПrWγX0[:y:#qB'/1~t}N홊kȖ2#Kn{]_t {Dk^dϓ`6㩼@laorFWe G:G^-60y X;Ȉ,_/YܖwWolYvhggې~`#7 [HUwXe+G? p >W3Tz+_ ;:Lɇ^m{ m3%rGEuArhosX!HԽg)~f"[+0Lq]'L6g[~'lx3WoÅ̓,%1kV9!56.=ABL1=ɡd6:Tg%l1֬ɓ$Kct !I<*b~muq mx_9X-?*txӅh}mI0`{>IkUHF>]} * n To`B[3wqq_nWz`O;h~l+kAśWxhRdp#As3gW/5Yd ٽ>;贱X}& TerGG@Uo 0-c\ו,cXF͒]cMc>ߩ 6Rb?DK\;}KnzfgkQ-X2W-xӮ Rux)VޒC>K}p4;3a:t~*!]1ZMɗچ=z=/y|U(®}TͳWmv߹]g6=o&AKūsc;å/853\1}1:~}&(=]4U0ѵm.m6eUo3U>xjNL࡟v%kpl|LKJtEUij.Wͻ1pb=>:5w<^$vqH[Um,uRbl6+7 5agQw5&_I22]R_ 7m[U;D zyi4*umkG"+KTc КDk)0ex .+q/8apΐmv*`̈v%xcc@1W{ Q?!2KՙQ0%g <̈9bTW0"pA0eo1&j3@0MwFvU,fgO. A֍48mA͑Y2A/`pկ3\U>fF¾gA)AAƒ)8%D#_I5<;o¹3| \z~G[92Z?J^00΀UB1i`"-uq vx 8ȓ]˘֖j@bDf~l]ݒlp;Np^?E 2Uپ'oOVl;!;xmkHQ[%c5sDL h,=:=Lu f> לŚ!#_ϐOIBNiIx hhlْ< >D$ۂmϪ Z`U|vkw 'OF':,l0zBc'=hԏk9 [7*l͚,#ǂWarU;b|2{l]88_ſ.\~~۬XpgGee볤_gg??Qvv %# צ/^k9l#>+926l<$תyy֙2^lr 9r0Hր]RF}/h X6I. 3sֹLG]LfSlA6bx̜*dIEp>OFO~,|YC'O51kd+բ\q+&n%wNz5*vs_6^[X}۟T"̧Odt<#Soym+)@Ms?9Ov]s}+?\_C`Ack{[j}vKAW Ouu^S,Jﯛ JNY}Vzkb-&S}/d=Vw .P@>♕Jy4.tǟ~qVbI ul8>xx3~Q}O7w,$Lz?>br=B,&~Y9 ]_KLn.L0J%FOƻ:.ڏy-`s[2^+$ED>^ ҁ vx::I 8r:"V0gw99ƃQYT;U۩WBCK$͈ 1@P.,$SMe0/\1Վ` #`Y #gxW} "jzrQ0ً}C#n5fjej6VPAIa K7\ `$-F*JCe_ a?f34y·>fε{S4r'4)]3*5eٳcy@z.W?zt v;Hr3ԭzY܊z<_YX>G߬@U`V OI n\ͪ3|!T((He֏p3Ep=6kYurngھ1C` dڪ/( k/2:J&8SV0><8ի?ABSW^r,;Cv%mg,JuYfh t%hC68նAx ~C^̳@E61Y^sꃀQ J} oЖGҋqvGطj̓IQ߉Xo0lsIxz=P,g0{xOO[B_VD!=b/^tX遱,yf+91YDlje>F08p9$t8.1)IU7{e_04}4wrvCv[<ʖ+iCސ]>oD,P}Go]:%WVVxir $%DjE<џ|HR΃ZFk0V&/k54U/X62TO.Pk%5V@;KU_>sX]\Cһ1dNoaw }\9k2o Е`xw_<$WXkX>'Zk*:P 3}Ϻ?~g䓏gȇELjhSRPvV׿cO|k'uAnc&/%Œ&\>?ۙ쯀nch2Vx=v;mrVˏ>|̺7eL0H:9ZrgvdFH\ƅo;|+%Q׀gKj"~r5|f$9Ej<]Wj`yZc~d o O7eCWoez=:donUdӀxMTk6=aG" k78j_ Ag25WX։ۓ}T$s̎å~z3,0@#HY̼ UC7ve[yOӣ;Ou#:.E.ʛ@5a8@c [+ A (m'c}^wb$FnP- ݯfY"$أ3ZzG=Xil[RA`)0xtL6Z l] Hf`)ϡrQ7\L'9Nl aBUHPkFR3X ';a|I-crʶ{ ctp!g 9OB`vhZxb_kEeРh+geNnǷf@u{盉͂F78;9]-}ғXl 6cxкovmOnp {6;Qjrx> 4~f dph_nVrG_'zV/WrVS[rMVKI槄CFP*zU^{dk꜆wݳt5ɋ rˉv#%ZWWjӱ 'v<#hdms͆lPHw<1w g2o{rC,H9vgJV||! cKYm֨^O2*q-cy|Qd;g?Ft̞dQKhOr)Ȏ<m4 ٤xG nxc|8;KZK~B͜7Jv_eNeS5nX9sgT`O 2Gezʁ^;>v6q>7[bڛK~7TCwЪ ̞HThAi*]ʇۜ9[}ge?/X}Y z vw7~irb*/@)9!%ub3 288J8-bBvQu3K·Y}^G9c]7CiNd F;X}W<^sku` hNh9/0fJ ˖E9{sϊ!6@uGt=18sL#2:Ty#dX+$$D6$%b#bTx@fL4\ClƚKnhLUqO^myNZ4w8R}ɖ׿ԓIniWdK^W]ֆs6J;mL}zL{&WbpRj}_Wg2*Ɩ^ o nOo0 B]~˟_>ˏG\q^TF>q: |Ufw]z|/yvV)(zgumY546 #~_GB&PkH..&yclgy,t33R'/Kwȱ没Howկ/GM4{bhg7l^Ƴ$YT0dU NPƾޡ>OV+=[} 9c{p9#2u 8qla4y I~hXhNRH`^͘QXvۮq6Y3|f4|^5G}ɭZt~5 MV&rXw_L11[.HRK0 V8=y'>3Vz"'@m=L!KQ0f$"N/xS_A~#O2c7VXoll+$a޽>#KRβM0h<>N=^S}\A \6 e0rO/ ;yOt27K8"yDq'V ho ɐq]*%i%V4u])=nspmj۰1Է*!:_lU 9ud p^Yf>\}g]P{_/ fv%OђMuvv$:0 2Z5+{LPYD8S/LŤwgMse, Erz&p#4bX{Q՞nՈU/ ٖCpX Z m/'/ %Uam] }r/C=+a5L@AZL>{g{2>,d%3L-\7>~'3dd>h:ZDH8%K&l9ݫfْegL]&!0"+CwݶB;?7ɠp1ӿ|_s^.%+ٗ9x2$< Ʒ[޵׳k+O_['٣/?h(L3Ίi@b?ddMA>)4$&_e<WRF(ʵI:~GiB%-z#v %ѣU`:'mGǗ+mI";zD9]ic;V_1>4ƺ_G~1ph(+.0DVU`!V'˘Aލdz"!Ftkjs|/3oijA]uBH>7NTo+hRA7y޽Xggirn2I^$"DuO9?xtLE6nG7r4Ɲn\'d`mF؝V&[P?Ttg!HK&k='ڈsYmqՐғ$/<-avHO/OOٸY&7]6)[NV 2g/# SıfK{m/8  F̤O9w="<:Fj_9}h#]$8XG 9! TQ@TTR=\Nipa~!S1+E)PJ`'gӸ#sԀK'ګsl'Hտ*ٌZ瘠@|{ijB.Y$": Ntp{Ė^pӛ!%3o,w'M@IDATW۲. Gqٻ|m7:«vE!@.Gr2)nkC R]8ŭsE;ppR,SfC7Rt_1%ږf#_;V("3HmF͈'nے03([ C-RjU0 )xlO A5v K{CL5|ϟ7٫z{\e^&H젡\Є~1jM E~dh%SjXpܖ9Tut۲ s3\0\}&H| }k+$"(yu_Tf?"I`X%ḥɄ elAh9Xs 4 {x4'J Apw2ΡÞgӒi }|A6HVŬ-9XVpR<ryN,=vLf,((neã7S-uo8F*I8fFm ldsZ`@b:zi\ξFIAwN*g`:WTt Ew}ʞu{R-֦Fƍz;FTf%;n6Ur{)lǩ<ҿxqXQbJ3VJxA/A*(A%C*BU7(q"',m!9t6,ɜ9WbKW#[!O|fKQJt9J SbmdkW0ښFgo,"Qgy aH(][]ɿ(78uzl݀~g%>R o~%|6,c|AW8$'] p`۫76?+{u"ǜ ~Wa+ /]FA|[7<*p"{KoN r%8΅okk\wF\A"YЃtm~GJ O)]FSg ~B 2$ȖNtl8\]r}U6$ݽ?:Ӂ;Oy:=?e+>;h4G?//_^c\ciVEgݾ:9]-idC{ GGG?_^k+RO)5J ~u\UB0S|AE72q_hr~8Fd8I~2$ς rU4 2IJB-lȑӒhZ2Ʀ[7>~O\I1}cĨ!{"y;> ^i{>o҄yTg|y/o1d|1Oلt!jcpc}wɋB2zX̱s+4ȯɻ1k^U*_]][#1@-MwO]0EhU;z"x6[F_v~cR_t>6Q_#nm8^׍EF?Y( vpE,d$4MfT>w`2q'vVU/\G#j 8B)򶊹~`sPb,y !`*%H =YR OFiNG{/#MP%3:e6ۨ ~e "tVs|>sR_De(,_&r?s^W91ޤXi0O 1@L_FKzN?%сWz~<<01L`RR3d]^+:4r^h/RJu%WNhS~'eղX:!j=wes ,)[dꁇG j^}~"į8A).۔Syˣo$1Q'yq7 Ou9d )[HE]J]_7 3=TV%q}_uT-`ˠDhѭQkoW֧\jmX ^+EeglU5z rPޖtxy58"\&@_]moVݞ` $ LI+3ov+D Kd2sv2"2G+MKژ&w[a <0o@tYRng{ Pwyƶ7zLu?e ғ7?pvyǖ!Y}Zp\%9q>q豍{ TmHpHz} A(J(G *Pm6$e \9-\8c3km[$gk&U-OpR"AKf%w٧l+|4k$$`6[KrhAOJ0(Y1 0$U\Ib#_썱c%HrMn|n\EqLbY {*{0W&׽Nݲ>x&[frr$E䏽+aTb ,eP]x FV<t%wYxU9Oy m:4l>K/n%h6ƼɄb{Halh2K2 LT.|lCN8Fw@(pNgTX}quw }Vx ׏P@?D%)tW_vn(Z]e Ρ_nW /M˟կ.?.w{s_||Oחft*3`u5۶зzd{ul;hg?']~{>$FلV8L~*k5V؂ϿLpߴ*U"7#se^}glZU L]X{痏?J[?rj bɩ~2l2f`ef{U:kVU_~j]@T+wIo\}n^dUeuע!Ԟ#'}$G?Wӿ/ՒkN-)N6#m/)k]6޵-L~eL*=brR4r8 # p½`џaYNȖԋ>_w%ز<"je(!V HA oZ]v"Ϲ;)Lló#j=6GktBesN9$ shWsơ@ ;s/㖉YGVt8܋. P9 q}?y͂CB`!-O1ÞZepԃܲ%%^+$FSU٭G `8>;G0i 343]z#q˒`Hkn^SEC9mH 5ͩ/` M,NTj}O`Bx{Ykc3q]1/aK1*17o-NgǏ1H%3ςbkj+"L8[{|dQsp\y7 l3M|Lk_) _壝_wwX0O*.#NCׯm %ʀfw=Zʘ ǫ68ɠxW#:ᝎrKJXxn&3%!t^vrusz4hlO5ݗ|˷-CVPæJY`e# R=J.ĒjҠp ?vw%ʪ?jP26&ϒm dnG-#,"Ifr0t0k~ar0(w-lAgN!.p;$2v4vH\ʆG=[ZYzZ+Kj%@ils7vA+i${#vx)sv)jwnRA&o*K88ed;]CL [?*#`A+JG"6v_Ռ_0'3"3tG2^|2/o^$sә{#K|3<ґLxO=џJ/+1",0_`:lLX=JFw/$թ=hI`$e &՗UjV(=s];J$lƜ TddhR;U9.5;[|vdr7VB/-xiqzD^~͈w3 1ܢ/J8mVW0'SSW]ތ[pfj^,7ǖ߂~S4pSp^l׫|ϾG_vOÏl*v0دb4 vi.X-ߊUI v3l_>ܣ{`aolmaJptg8E*ߍKQߘ' ^uxcY~,Z+ ANѨV3[ `*+g9q;[0ݷ3~/OɌ d^u!>9]|pV,qP^ W~(A MzӒ+&^<;"ݧ>תDz}rK4oEkژsio+Ak>>T{h2LpAW6Q$]"@hj| |~ċ>z$;\N c m2Ugmt; 868pиĶJGK|$غk| ~h@8Ο~*gǚ9 8dһqÄdJ!`צli_ n()3~nV`gsvQJ=E\~W"=WX ]:Og*Mp|g?/.[O/>x2CW|H98QB2Í1V `;=3Bۈ( !<7dhY;H'b+!A"Pƴ!cͲsF` WͶkkGza|_} b S>ZҖ`bJ1- E09ܺ6Lnne _Vw[P:g$kFUUI@9 pmfEwiȯ-3' sh&D;ϨpH:gu]H͞kR!tPS$&j JC5ao*bo-d s9a.,RA8ܲC4&N> S3* /'E!,܉;Z 3a4FF%NܧMюyg13͊nPȠmV81[APa}M ^uWd 0~hgK8$YKEQ czlR+-4鳙5s簒s^J}GT.5}rTُOy;HXAՑ[rDG^$ZFZp y~fkϸ}$ZD@?ZaqܠɆKZБx`sC\ Y"m^G{)HW+d}Cvp@! ㍥h>\Lrx K.{4?c; d*^ #M%P*hKV9IMIJ}.On6g" 6nSsM؈fS%/[_\9pv>6ưk=,^ :4D {Hm ۲W;Yz8q)@ƣ-1z\k# '{'xDm^ϸ7wBɝ-2 :#^P2 *`t7{Dk4 X6wC(Eͯ֐mj^ão0f1H)tGLƀ ^u4T=}@Sw_]/~y?оfMujnqV+_${ZvG)&*Y*f}ʣQva.aoy},q97ɏ9d SZ{v|nYlض}?k#mՑ@X#_]\|HNv!B tq\ ]c}X}*DzWτIB#⎯>K 2ݽzxݛ^nq`VȮϏ&E ~821~ۖ#%݃\1m5*vN|OJfu~[o!#Xk[u[Xɩ!.?Ш |Ťk; 6^|BR޷ gBCbvoo)"o6rA4Q <;^ _G&Oz?uٟDaeKlux=ϒ:2z*0'ReT7y;%Fl{M F$i 2\9}ŋS P{Rr[:2w9ַS\ʚ\6 fJ#׀b J_@ SY}`A_sյoYƂl*-01g8fS9Q OofIB$At_nw`Z@j>G']c 'Ndam`?VXVv;@$8c)cO4d;-ÿPG~D͵צOK;&蕃UC0n1\~vm JM ])AbIYl_9[f]eZo%/Hb>^oWؽӖ- ka+;,΅Kt8DjIxe8U.k6f`ƻzJV95![?Vxmp0K;2A)J!wpep̹}7y8}bmM{ M{{@;ݭm`0 񭾻5 ֚5iM%:J6-( c*M&;A;S[ *Cow87+x0dK0A8c] ,`wx]?Zb+GtN`tt6#Gr=2%'a-Y:+9+ 'PCYO(|p'Nzu5xlDVfe(hZw9?13G$=YG.P0$!ݑdW%*l;m u$x؛9hl<Ňg<)$='pAe@ ` A]V98@F^4w;}e- 1:wMߑ^dJ/*Qe+V2eʣ=䪯qB$w!_Nwqt8K9 9U֗ƴ`ţ%qb{o}>_9!(ʰW])ylIÞ 뿺eK?O^]iU|vD6w<;PldU}@^dMZw~A+gǾGo}k]ax'Þ@NlsV6*_v#6~sK уKn҅<$=;d)ˁeIA2}_Qn*^T{ Lx8޿^v>5³qҤٞ\V|lDɳ6I6 zV_~~%s*_%"fž^@nd=`Qrs˳{@"_0_K+5Ydz}, FK X=v%yOys[Em 5|CqpQЎ'0rl1e]_} K YvV(F'OJ!tSʘDs8hb3g[-R-7.15o2R}ә8p1"-L1ak_mp(P&gԛFob`#?/=@W0#c[b͞:.}~O_|mҼ![=ô}}3(8S6|vmAy@$`9..u17j2N›nTU"c?X(0=O xdR7R9D_43K?e3NUyx?z=)~2;W%Qt 0H|Fp ϒdnN6Ib]bi3R>7l$_ O8b֍U]'.WG/&yZ|7_>z>O{x#qƓ]x/vUq{)5slI_m}ϯ{違aw/Gvr;? Z'+^;_@ec`#iI2qƁ O ј\#1yzOx vʿ4BhB3.dop+Òɮ{?KXO.'5^4κ1,9wIf&icW/~.K´e3Rrͦ^'˃ƦȷqDĕd6M K6: ERΪg7 FP V{~}M %I|P1mdvwNL 7/M(ފn ٬jwZg|V XyIڿ'[8Xi<-~tӭOv =?uOYj'-_տٟq+C?ZYIr_v1?Ɠne0Wj /ȍU7?Nf 9Urg!P_F| ,G csrizɍّg0((rt¥Zt}iF դSV᱓Yɂx '~R\3Z#6_oQLzf<%h8G(v d][x1\N|mKv]%g[ADÄ:.]s`˖"P9Ҡ@ FNږTEbq$P1*yA9 qKHsF `!aI%f7d{:87} %ENLY"<M; 3w1*<1!pC%D|тf2pWkϛmPiɷozBFجo@9t=k+YYF08Tuaqy4Hf-˺sc+BɔtGhJצ=}@`Fwxo`㓈~J5E6%yoхͨiH"QaTd0T5ڱ >/qHEx^;pdɫYگoI;?hAAhrv9.f3EEf,w .bVC% +ЙYJur95WǦN l#l6Jۘ>%5tg?YwU>>:XM3|^p9cj٨mɮ?Lnzrwu0JIoEb%G!s\ T1zbU^=G;w5z@MJ'#Wz]:~#M3ٹm,huW9 jkJ#p1oJ̰C8$e~-=A'uU7-V?tƧ) NHYs7!K>HE_w!9?&D^03ڷeA}AmVkf yd|%#,vMEI,Aθ@82V6~aX }1k % _u|?O q?~B[9Y_ƓZ֑8l[`7X-~=o"? 9l~qO)!GڞUHgaç{#$Dp^x‡+mәAyzcK (vD {׿ʇ8;'ʛ@2M6E\ m~]x˳ƀz,}{A8"G䘈e" EOדF3C%t7|߾#)oee9,^<-g|/ZIr?g?}| ~>;ʫ0N~b]od9{, IΦয়AY!Z3)Pbk5gc|%oE퓴67bG`g @V@ikTm';{Gl3a~BD$6ўO7+lL]ܪU5g(w;.[l&۞})oڴaW[2F0uǑY(ߍ&Fur5V1q|]"96?Lm]|]wcNU:`|1_o[ȿ͒////%B8!Ɵ}&:} :Js1V Λm9z\VIĨgϝaHpR7G9ɳo3f6T YT EkU3xKRNg 貖9-쓠oUGhdާ ^4M 7FS`-,x"7Þ8\UF#8/<2⁠}K:,)~yËsb@YJ*`,+XۋVNte 7 JyGӾ ==.*wꓬʴ]'FK T׊!L`UH1`> ,{x2gjK!;A2iEƆMPt< GyLBDDsGWaF5MLN}^=oft*>< b^%6SvŹ.98⚎~,Bw2ڿ oATb_;._%ɥ:fI7HPJ(g!YV]sWԠ//oKp*2|mؿr;-,ma CڴQ2pPjvܳ >> {::ZHheSL$H Bޖ jzytbt nk9 7ڋ pu͡O[:>GwgA>҃7A60,|!alz0Z| 07-O(^fȌY7-n!rCk:ت qͤ{I27-O}^_.{/9D۠kۼlJj.y]gu9 g(wɄvBwxjƓCv)%$7 Gvslx+M3h3%䳇ـ%nkWE`IZO 1HA|Q詆UbIjI,! :7J̵}@)#ù>qG+(~c!__i EmVf8p(+~;>( _Kؿ?/_HHC#s>s"hxf9ys>ɽk392=򿶍lv-\Gjw{ۉk#MW(51VGM*r-s}ih /I{eϣC>EÏt>*:տ{^ύLjG(>ɾ)V&ٷËƮ`GCqkqk7_X-qlƼo?+|l?ޑ;tg\DA$q>|?_G/6UIO2O݊ϋ 5AOx{M(?r#qYO™@HؖcݹgVET76ӄRyl\@B v6#]ۡS gbiGkj\ a evQ!ù#>؂׵% h!LZ?ЕbҐ!1E)i{dpicDq,o%,6H`usrp7;ƨ:geJL > <߶okA{2x±mG У|9TfH )Ȇҝ\69)! Gf9-~2o7o'`p5['af,óoOZs|8j4[E^{c r,SWz~iO;Gw*dqtn;-lpj[)n@2)&Fpx7U\9}]yv׿`A ^l1T؉N#~iUhre׶v,ir TآbG>=ą뒜fo݀'߲W/ @IDATϋ?D8Cks+"c? _v3GQ#S5:8F/enmg䆞hSY[8sgff gf,{BO҉O:|po!lks;<@mq[e/GEoi~c=2%G^ʰlo+'_QE=f)^>u?xgY8p؃^~;ŅogYP{'!VvhV"tLӞ&jpnD䠛f}ؾNяL{l^Yْy鬸_'m֝d`L*xU) hQP w-::|&顤FF_%j`Il*z앳# _vizlo1ֿ Y᛺Nb#*W^갥{دW 6ŽgǪӽrm]_-oNrKEl{|a߽/s=GVyT6^Wl>UHoq}L;/\w>d"u-ooʱ/OX_NglN2,jbWMT69ޒ[/*jް HzCO.~N8:O2u&Ro+]V؞pm &tV (SS1OV_KV%ۄ-dTk+qꏽkh|lqNMg8H]ZbB־T4T/%ujiq̐[%3٫$zנDGMiՕ̝ ~&=C@O t٩Ɍ`RxS ?+ o5PIeƧ>iz_`ӷ*W_ˤlƮ[%_pw6v =߿<ә۞6w_^>/?_~ ϗ+򫶯$[=ö |xy. Ar(r0xr(Ҽn%Ɂ08%QSڪBY0Ѹ @41;y  Nj B1$pe[sj] ֳ1NkX}qglgB[N}˜D" b.J.D 8Y;-wa L7h30Ddz)\d1=3e7r=EE-gD{@ W;$(رMp{v63 xs)R$`J 9]A;$ I{!|4όČIp[XR1/KPYcY.xJQaK{U@#Pf-33켅 =ey-\kl//05[;9d6kۂʳ/ih5j%Ի6u;UC< m5hZyx ~xFf hBfdt Rg8~)+зإvtU:uZ$nIx4}8^uOIGN_ܣj{'xu6<,^I{34*}\a܊ iH+}k`wݧ%du#Hoٗkx fmYQƌ[{h3G_yUY (g Sܼ޷og=":7e"Gɽ`2شmzU2e2xA1=w]\ X "%lq(qN`d!,k@ljLgtBpb~0'>C}gݧϒnտ$t$3VZFrC WO) Q詸#v T m9"ZGp'(WSopAl'kBa5_&@=i7jܿ*@vz{]3ƫk~zv[fߪ@?Aeh6ۢ@/y-3(l[V]Y>1' dMr<%,T9$!k[TU_mebiIc6/zAW&љ_(on[,1]@ $Ƭ#k/1'71Zgl"'셶GgV~1v淺f@ R[ >ʵH.~"Y訋Y]EǕb'y]'}ك!,:I@Dx=(v^ ez>mnD+4=r6~}6\>]߿GXy8R,ؔ @ } z2Xxy|rXOoO_z?}ry.@}w#$cv%A f􌎶a3#(} 6?9>wn;¿O뉂,pqNկ|Wx.oҪz߸ӉkKG,YWtVm-%ˋ_D:{<#F~~8t\I 2t~KUvO%Oӥ½է-LtsڒMB~ksP']OԍKG`&a8j%7+ueŗ_ES=^˒b;.3,9kȻqA_m3F+؀V]U®qhk|SX뻻K:'`,;g7kϞ]t;wc+ȜwU(In^lقMWK~kŻ۵IV(%dXQp8{E7 lEJgO8HYm<@8}dky1K9%VY8\`Ib%DYV#уoraEoϒG's?,hfJKP&S=v1>q#* ~Mm=D8 Vzt?ðoOg;鐙UFܷMFL*ON:{vB~uB@)RsIQleeR?k+ #,n;ǻ1,̃Fln]D;I K?Ydڏ,$=-?R>6>>& Ih,x`bNf~V^VQkzx4(*欚ޛ_[_3%|{Vq@ufk\\X hj:dT ^xcKpe$2F+L@lx}o\ ɇO{lV?<")1`i>dIKK;>>hgpoOxm5ߋ {(|\ﱛ4.o/ѝCwӞwӖ jrbѸy4f`1bWr}es^,s}~+j:ӧ%jW7ɹR=cx.'}o^"nk'a8$@-gËw-ESOsVcIbBUnnwpx/0ސ_IXB~ADʰkh:DWXr[T%v*]GOFvVR~׊Q} =z. 0/}BM.q&>w DkSYϱAdb<{OyGO=n ˣ /{񗗟/?h/4k^5Y^Ͼ*84_&5w͢zA)Fƅ"or*ozmI i@ 8'8{NV^0 \ )w$:U0♹|2wY$`g! Wl#H(8G\HFRdY ƭ.ǻ h k'оyieIW`ҔG |-E 41ݵh`[?f*f%)k`ᵌ:m08کYwdp{.so3d[b һvxVwQU0LqDs;Izdm"xt }XbAі9Y|ddEQ[F]{f "JUN#0_,'%|,KGl?exf=w7 Pp|] &!<_x~ "|x዁dx*")5S͉ld6'f Ԡjv@&%sLwRsmSH%ק{_d\\hSI>أj G#= '?p»pٙ${0-]Yp@׾Aϻw+qΒԂ4y~llwwJ>!HAy{/2+_br.ێ dY:vbiVh3"9u4gÎ&IVҘBd1GsʳFOޢx=I#zr]dOW2b,6[pٮlZ^|0ϬX7t$x̘NB=Ye1 /BE'`h6Uvmx93GB^05i~0(Y^r܆UR϶76ڙ,٢+)X.!_O $I>tlOl:q-ZUgtȗE5^zMiCxUܫxųk^f }.1^ɀJkֹ(Cgi*8LqTu 18]`Ǐ( a^-w/ٟVHVhY.K7瀤 ?6sy<:V\gk/( 'D[M}]@&8=z&>JtY.]s&cA*_eggŭ8>~}ͱy>z8+wd4)A-䗏r}s'JOJNk\mr;ڗⶂI~lg#frLyl/O61ɫOqYormiNW!p{7cY4|x~Nܳ҇}=]]OV%^b+.u3db$`G]S{ŧ&l%3;:Ql2_l ț>K&l8۪n힁6*#x}V;aW9ze[4ݬS D{_,e?8oK+ZR/D8Ym)oqܣ|Yo/__Wx?/}Y1_$e"w]F]u*D >}%kDYHM*N3|w24(3Aɦm]p۹;?^у% zD!v0 ޶{NOo69v03p;wgKĞb[Oo ,t/=캙L}I48]`>Ͳ 0x^> <#L}2 q@~w4y= 629;u<*K^KBbfX mvUt7aU@]̳JOv%ౘϵmwZ5 mUȦ^]ѤK~_K]KκvW$z]{dd >[.UotVOq3`1ޅ3Nn*7]t_G{o|ן'i1 a{ٶ&{Rj$q)A჏w(_ϵẺmݽ-] H񫿻T2fYߴWmcoof#oeZH6cj- F}vE~ loiCgU=\}ӥ]l_}w'n?h,>X!Y{KW{Ƿʤb=t?gREg '|gB|GXzy7~$µU%VY9ԾL:LuLHvl}gJ{i.G#Zo[7x Ѭ|qK:s']=)|BX{vX04jV ?Hȿ~)^~ոk{Fgg=׷::~EO&U2 s8 ul)*&ajPęM gfSMz${{ r۶ X# ASq1!jS^hpF9,zq]YGЯѢ _=&e! -oG%8E`-GAFPif;Z!P"`,l C$fj5&\d1) R )6"wEe4UN{r~xnw'fȗ [*wϠ9Z&AYA2pOLɆ (2%5#G ւ-KLv闭J#}eڕ|}㞤 2,s/<0 ?y9Iė9Kvz+aѳ3 U"cOx~Z9{u4B6PDh3YXȍ}Y۶HlPb#YgYd5Y'% Y>}@[1u+R~dۇbhNƖd``b-lzqʧ~%kj_$QYjh jC77{zE՛-p@$E5)pWoB6rcAAd.pRFVg Uu&x,i$| o8U[Β%:$Gr&.lNDԣ3Lf'G]٧.KxKN#D7֎` -,y['{-Ef>Ѵc#*r߈vO])"#u+GUJ+l0o lb6{CqݔvtUȮ @ +"Sɲ/zb75f7{vRlFxn܁ݛ.<ꀬ?~AfvDZNV5_p_{T]+ѳdmΜBփpTB7SfѻCEÓs1 JLuɕJ=~|77?/n[ܳaKӔbo;+8{d%&|Dp(4!8qцxd 6no_~uy//{̧#&Q^3mK?߽-QLNqqlw7߇~7_VK::Wd#KǗjQӌkg'JPsn.e?2:GtGc=tkG%]4[IQڨ@eԶW Ye)>۞kIڨ_2cJ$VPJuxԃGD?_ Yk+٣,2mOb$l R4S?fз4/ܣ,,GX-r*t,B$Fm' f(ߕUZ뇖ڡg6 IN ܤYadzɖ>gvՏA- >U N[_[Y(&\?'Y*MϚ.g7N[iPm0~Vy8Y3\7d!}"OC'?d}n`H^\o)`u.\с=[w<#qj6KP[`~/;ploUi>D_~#(& 6O|8W(\]g6 ]' 'rЮkO僂rN"ܶK/bN} kTyT"70`nIŢKb ?W%\FH~W%DQ|Gc>V&~Ȁ s.,jp]{}ZH3%؀|j7J>O >^7`Z= >ɐ;~U p0Wdl(p6*ZVeIZ]K-4?\uW#/đ7 @G|vrk3?I,+(g7#k= K}1P1 Y-Fb]󹇧ve%]'7["tHf?|GϮ\v!Iծq# K\^]-4fjqabZk2e \+o(]ukd|a#[M` * ~ob)J]sO)[^~//HIrx=X{Lv1`İwH}< 7Wk}S"]mv\){yg_\g∶i+@;mp UKCatxՠMn:UcmAU@O˓?7/w%~"F׾{olڕ|uⅲpńszf̫1rkLI}"w`wt#_ncJ!̚vU|~&rqlAw71ȐlhqƉk,aI7%*m/\]ɚbFq&#kJ23 *,!MNNT?&8,oWN4 Yi[A[^kä\n#߼yv?l{6DTH?m:5Iz\vپ<[<͌>S.lG;*dⶠ~oCֳ7F: 3: }4X}!kSrIֈT(1X 21Fql%)oFsYV֛qWjL,`p|7XcK4?] MB$0aۡ1ՀZ{ƍ l`\ZXO 64x{-`vyYR,=9T*`0]o)Folikc.32fy)8sa-pf39 8e`yip uUvNy{NK6ڀ?'w=4&ɖ7{e$;_@S Z}N2^MM8%'NP>|=#9SJoz6652)Ȓ-qT#g*l ?_7ؕ T1{l#{\Їx>}63 3K5a>glȮ;`#d9d=#] gV|mo;@֗Cp6O}=^i<Ŝ O/a]&l$Cn?#/]t=zl{ԁ9RAf\n.٪W=ITvݽm3TmYPT}r4m#%{wz4-ټk_dCXr#3f$lDmOؓ-!ͮOfG O4tLY=:}̇ol;?(gm>dg7 f4>g0Qp#}=A T&O&mBjY'S@;&;T,qe2Ҟ * ݭv)fwrz_$5l&|fB~nePŽf'jQovHF?O7^]Pck3LJS{p^3i3?j7=@o7X?/A0'2,Qmib>eJ␹Ԣ$E߽_2͡^[M}c nDfV9:2 h7`aNi7t~Fp}=<ȰEs;u$G[ a%_6~3Ɂwe*kgKRn}?X[S8>׽>e`WO{jQ^ʝ?hOM{/y:>i2|,Lnp(YzV'=658l=]i6g'+χ`Z$)DÞSjګ,ܬyϓLG&zZrb%}˒њVݙ/iI0­f[,_{Ih'P{ׇ%?w:ܖ!‡x鲘KXU?7._A^t!K.l#ٮ0kQ2ɯrWXYmc2~1>^&$C{%ҫ&bNȘmUy8XoyNة~X9 &;L#eWP{f.'P \9M^%@v{ԩjɐL0OzC v-,H &|sVG3-3(dn4CPk3,w1S݁35<hq/'Fpon !-Eu,i,/{;TPѪ*{m G=jFR6"%I$؉ef;* b.d(`JcF,j=-@'o/,ڊdSb $n}"ÞxaKOׯd74 O4lJ0 1ZtoeϿ|rm7zat9W]^qF)ƞ1:닑ܒD\=>%n5ϳ MN'5uJ6ͶK £lV: %z 퇇c2g`@X`<PKP dq:S7Ue?;{\Yc]F>G.u=-HHPu̇gӼr2S]8mzihX]Rfw5OyTeqˍ;ЉMzGXU 19l$Ep=8uZR=RHC_o˔sc54!~~#`CV?plmU ~f5n/=0 w$HI< ٖx]K#r IW2%0[.P J_NJSNƇac+{^Ӭ'Qz9,iy oYkۡ26Yx| kC7N) lr?^KlՌA$9xKG=?i/`bwO?r^Hӳ~7ڽN GB$򝑒/m /o| |wtmM /=troȯ,ɐp`CVLRVe}C^G6W`K~2Vѹ9ƾKf6ZM=nI{$DmO-mx_pHwA}k!K8qNj.b!+gm <jZtM#ݟOEpl_IB}OUCGqN"PYZǓM tʉHo}JR=8lpݶǏ\ @IDAT{̗7+V䗿ly|}ߺ|>|4=~&A^ȁnv6U+hH!f|;:=dNbv" -\ ^v5= з[k:6V7|[۲O5HAp;7!qs~C`#o *Tj p~\\o"K>[56P#Ç l<m0-nv ZO^{˽لن 뇱f-EO0[<Ͻd\7_>ot;غv2{ |ϫ Ā:luS,t=߄le7 U?:Uh/N}LrL}j"%"*mz1U}-IO &q/1I}VQk8LtlB4xg猁9"w=ѕ#0Y;c-|]{78k߸~v)ٶo.y,ݫ?ok$'pۣ *vooֿf[eY׉?<|SWLt+9Ň=jzwe եwoR*(0c”sz~EIuls hv[>epw2)f80;πU2HYyT.݌Ih3N ಿp2x(f ~j/x;Ș'#ha0{u&TX㖲 y^*Q j \х#^e;yIX?*%)gqچ`=mgyGB*ko57 qNVWnA e!gHpNXS2n޶&rrlт+z,! h\moop$F&l/]'Vqc)32#Yl\u%A(=sݍxIT!=4{hTW 2$2_;t2#FPпD pѥ$* !COrj~d7'3@]MQπ6dܒrsBLL<T/= >|ǒur[qʢmf~KlI&.~-;~ׇ-doIλ m ,F@|l~hX[l6?]Ez"ڋzp$H?ߖHz8V9D3=c=y@Iϳ_}q h匾 ~qM3HVP кI*Wh?u@䢫su=0Q^;o2B7/{e0f_kg1#<̟ 4;d ׻`Ǜ_m`2o"La0()1pK`{;]''=Y `S6)xVt`c$X#f'ӡcy^5zd%};Wdzt0~,)zrJ="xȵKrl6ƬKKl]hPbI fkc᩟njypcKG]\FgƉ|`C!]-HG~MdX>[fgs#$Q_$ٷ#_Q *TmHQ7."X])8+4u-WKPKɂ균Ժ(|uk\_*ڵUf.R*WU69e̜m'}Y/ {_W%a%~҇$7͊qXzr.GO;<;?G{mIq.ܣ辟@.|_h*B~xl}8ũQ]`sVV?Y ngQ.9j,2#ɺx%61{a Lm'{Ot Y~K7'AWlA&߶#.V]ҽbf+n7H:,SM ǶWBhg%[7bivC otޗ!mm[ǭ:*{>liEّs=]t}'+ 6^C"ۿqwJ~0LOxѸOd/{BNlOф%4 1g ԖVB+' OssgvNkf@}jok  y3H14 ̀-HO '#X9lLIjiY |݂,FL`5q̣PLrYTipmqu45xfX{pϑ` \DRjN`S2"Aez;RpF^ >o j?0 Dxd]`J@j)*ѐ(8޽-Oef'8p?Ɩ_5m6Lh!g\4dۓ( $-L0H_DhrK%r62.r֟p x , Dm`ls8xl2Sg@Vd|4 p[^eՔZ! >_dh.guAqe-%$H$Pd.ꮟɗ*[K߿qxwF7xn]J_z+kp*V4jѡat~'(h_|vϾ$=(JךK^+:x]v[;jEݙd1d,dhNwGص. M# /0=;}L}KQee6ڤg_8ZoWҎ+k|@{|S|VH )x[+5Z]~Mxw Yi-{yl<5w$*{aZ"/flX>&=w6bWfqHOc'H}vCLN/ՋdXzK4n|oRG{ѧD 3q\'\.x{?""6 f#b =ԸXk⯘7%z8G;\ I7o|$3jyx/q^wޯ zHݎ/>xots@u&@>M1BeO[=UϬcB&e[X(oo/?\;85-pfLʉG`?s~w\HNebݘRϵ(d UeBXkb1KkWp}/@Nk;A' ǾU>ٹŹɖ4ytp`>V4իV+ >M ˛. v/9^=¸Xϋ|\"O<o# k3$n>5iw1W۞^ǝ?nV>*ӮΊt2=}t$M՟Ece6m{ l%oҚm0亲tGNdo)5F+)<#AHv؉AVf–\ñ섌!)S7S;_];+6G{ ۘ;8C#b&"J'9{WvMe3 RٍאԆ͐XIi >; 9 y٧ڰU߲C %1`ЀNEA,As3XopC˔ 3P A;|)f/g$sg͢b0 Std̠D&G!oЃfb L,ydJ5ttd"UIUFѪET24"TKcD,r2c9;٣o!pwn`Q;"/[oo4(qi 6{%O氣;=2p7g&YH{  $%& |9r:'P-!JDZ1Xs$,@ B̑9rg/in=nn`H>*ok,$ Y@ ;X\̿Uȯ1= -ڋ g hZ$=k_$Ƒ' pYu\F!#1mm!,G&<#Iz5 Vbӯ_+G%w%ʍv.״W9.Ɋ+o&q\n S?\ϲO~%/*iEQYIiIf|6H0f'ߵtg[JĦqraH:y}_Ž+MOtog҄fRZ!uYhY[aodo|[%J__]~_lكXt1 ^>v{V%upX%ieq T@yZ=.˃>) _2:9/3+߽aUbW}%r`[ԣ(A^{$Yo5׿*m+Lh9NhX]x·t(]S= ,w%FiuOrn|P'O|SGv'|^mbʉ%82XFӏ5KѤƓ?K|nuߍb+zyMg"bg+rDf[Zka`ԟ};5@+F1C%L[kd:Ϸgg~_\Jn`"XaǸ=ūVpݪ`ThYB6xؓmKE{ٓx-‹ +'x+l鑽! ISM[vJa\XpDG͎בYc- 9UƯUxIQV/RH܀>1,96 Q$Z¢'ə2Q2*fk4(4{ je-ʈ:H} 2]яaT]._' ^m +܅ɷؚAp9VA;fB7Pwe @eh}?gA7|nۣ790@i[D{j :=}ݟ>խga-)_ I{WJA_LF9b88D [u]Rg.HK%{/|M_$'csIw[@I6u悯%#UH:W3Zq$0dHvy?w-{ft~6#Z `5vHA=9" <.lw '^ϒ"A@pe+,|35R%\JGG/4;ͣoذ~'Oh %S0q Y=&}Vhd5-`FZ:[lA׶+>Df☒ Sregɦ v&I{{m '}/_u3߫Ks @ |d@D7MFཻd9+ ՒFYzf1Tu īԫ&{fbn;ӞfHreEyHC flg[Gտ".= ~W+ԫ-^8bвH/qxтm2/fA[yp ]ЇSXtI2RQv4!c4zuځN[m;˿t='~zspGrƴ?rQD]ߒo)iՄx[gX!tNw{&~pZ}8o6%OoOW;Hx۷ݻlUgxe^Ӏ<ڣ&;nb&jjJr\~/?„I//R9ހ(!Ui⼊Ж888k? BR73>;mn9@Q2(L 61IYN$G".QވSrA(7-  Nnm\ ?5cn4fS d^r%rcx.5۷2D0_ Pwd #4`ϣW؏,Yd%0>3P $yBRcqi j#d^K*]܆$1WmXd[$u j+׽ μ:Z_RW čz(@ܫt)Rt XU hddZ䙨0CY:y>}i2ݞ^7C3޿@y0ƂpQ~L5Gz@D?"٧hfpFD˞VxtcŘJB=ZglF:ZrR͑JnS\f rR#8ѝ#`BEf%:ze:\׳'=sGZAک? 'Ruo0%ʘ.Am8S_V<48M?|RɉgBjtX$urK?ȥ"M瀕L_nbI=d9K$q獎FP|jζ5Dy;%~Vj;_~7N?(Im=IBr,[ֆü~ۗd$;h ތ"$'awЭqYw'  jCd$Ɛ`(u$sޥ=.O(q +Mߓ ٯ?NϪm 4u D<}!hLD|(NFKbPwn;9dpHN; ^*`Lpm*dG`z~7,qY!A7;Ҙ|-pxsIԡYqm/HN$dg AfuH=ztG'p\Bip=~p&˵' <45޽4 9n\OwqY&[vОnl6[ηwӏ^|bޫ}t:ٙ*Wzy:%J[m`6;cMdY4CCL+3;Mz>t4o.b%q'!qj]Z7l[)ʈ1s{:<.>ǶWL f2-)z=yoomDh/~ \-/ /N!bK|&K#G"k}k]\$ Ґ ~|ƁɵvorǗ'?:}ronq#ųW0q>Wy|Ҷ|ŕ\+gb*~޹9F&f?<}O"{Xlx$rs1$xf#gi&9}sG7a8iAC WɘuVElouټcS8FCe,N{&ڋ5-ggLJK/ٮ%P2fOw?.٪7'OKe'xlEq\m?g1t@C:;.ҹV^M$&FM5o>{pA_ G'[5[q˿o|gʁ?m-qޤcmc}O1! f ʻοyZIdrNpݒ ! wQp8,_JaB> CH_[ѽSpF/H1coVJ{.Aƒ9u3=ϯtIKR~:Jh_pa~mXF-Pp g=xTNO_i}Of@[O'wg0+/V8Ɇc)hU.%~,v;߸0iބ qqӧ]"RBa%؂H z r'RF0ܯ#G3#eTϼ؂_8%=fh t Co| jֱg83eZN6ݭOr{(q3%(Tbp޾]:VD8:5B214(ʘ]8pUm2.~{Fj4 O0UK‚N'ga!Qc'# F_?Fsp#xE20#\PB-`û !n =zX_Am)Bgù 'rd2!d81yb@2_p?J{Oؘ={A$2.hoI:;<`r+M@ɳl Jk'J*Ɵ[%k=, A ؾcJyf (P۳݊|fƏԐl^7ɧ'\[֭ҕpwFӓ9r9ͳxk8b_Vm%_%nfP[n_ JFI>5w| 0svQT<Û!@$i[Z>,[vǶaBߴ4?!bS FWo-f2貳Qٛn)jߩA֭Zݭx䩯d{3"d7z/z/ NJ64Mt-][+p.O`[m`e4+(^^ m5-tͬ=inN鹽ٳ^J $e*kEmW&FRzC` H$1JAb|+ oܖ*"t0 nE"1GA(woLn ^)X) GýB. e2CaJnO& !ZzW8V}2<?dI$q'vs؆.LH*VhZAFḐU*{cƻh}]>p |6|ʻ9*IooےuS -E/l [񂭅` *42X?`F?.ef CAz#(qkq?rV3'rE(P~fZNCB?glDD&u@3sL#$CcR8_"x<bܒb F}"AC> zz|=`FL GPh93S0 gQyxSy%DFd4O!zq"+ffpΙԏJ+C>[C 5p~}R6nKY} (?/'.s@C¢V&ˮ1~5%>{^H%AqF{42Gd!N&—, ?}~,|жp( jI/:=uk;ZkfZ6Yy6rUa$@`ܣM[])}Fk@޽s'X#=c8h(4=IN'`_a-G$Z@>% Ѿ .7B97%躭U鄀|Byc[_ Oj2X}-ēF6Pkb~kə@VtҋK^ע+x|k7R(oh &0=,BgلzH$]N9*;`W,%N'7 8p`~ȪBV&S 3yh~tЂ0föx1\Bx^6\𬱃}(&C+(&oD#t:*ֺ.%X!2:XiS &O^t%H{>{ؓ3Rg7S@wr0i awcf|V{lhpVꐞ^hbJ8$؆;(Ů}fɺi*DE`tP\קs~ Er 8L)+f'i3PY Ȇy~~lЊ}@ 'a\6s)CGb#=?|=7vw_x)ٔd1V1kp_ͮr>XW$YyVxO߹[Ĵ!m0Y=t'+pcB!ނ(8z^ZǏ\}XF` w Wxc4=fJm4|wg+e>JZJleO1y?IÆ3]m96ϝ$s;tL'=O泷;=xTyo+V,`p%Cd&V?uxoʕ -2-n|N?meؐZo} |NX 邿=*vwaޥ7 cb[w;߻G} ٘ЍǮnuOПc[M5= <=.xV _7˱\P}ޛum{ݳb_9<]w֗Iǣx_'O{,g G&|w4{m=>o÷;`N6dKoHͷDLt#&P20`f@R!"nI=2f؉%)"L}_6 2V_ (GeET%AM}(.cYXvWYre_NO38>A~^=E8c#$t}UVeqXRڿFx80I[Y0Jg0ƕqbOě^̊GRJ`C(gcABჯ!*߄=JХ `ڻ.FW9+P!}3Ḷ UoY|M\^-LA8[g.e-E\{%䦔ѻ!fs}ˌ1c; tȟ~WuOrJ |%Ǔy׶_$WRrSjG0biBd]2]Vv9dI $If)S2Je\0c<ܑy:zCIG}򅬡wD.d3j_wwT'ix  \ b{&эWe2%?tthpw-NƬ+fٴciaO}j'+BbviQP[ͤ-SnfZ!/;}ٕg7/?/[Dyw0]TXq`)/{ /f +٩~1x@7B Hb=o5H>+be_#+sƥ;^Q 8g 47Ng@43Vl%?fƭx=bDSf6O nܵ Gq$hY!}W2=#kwvlyEgzI~U/@ᳵg4K~=y*{S=; А3mJl]75[;ńVɼc͂%ۊZg!OM9%NGcmT  008DʟIƐB n%$4)y}dz믡kc Su"^r֒drH&ogǾnUg_Q+ܾ8klv<4cg;=, ª_\3/B߶wyVS[ DWtŏz]ҏO7L·[?zSL1MWxKbΊ-Żz~ܓԫb ^[|pڷ>UdvI:7^ıho_{znkƮ6NZ#HUN;8hy;_N]I1-E:Wc{_!?dv Ѫ6cPutag!?:>=;0xHyK27v oZ}pCL8VQ]ndzXUuxV>]L$^[б.@IDAT'{ͼd Z.v!&n~˽^SоE;ˈGXsrUkC͌OxHs!aTlXwZxN1R:\R faoF?} C~Kj͠9z{4-XVߍŠ{{ArtͫpG@(V$=.px+jh§k5csFZ 'ctNrwи!x$fAJ96irӂ/MypVt1ݵnK9~虼-;оjϒq.f>TKgk_SDAϣGs9U)[D.M*clъj_c,у_0 'G>w9>N/!0/>rÄ==`巿?ݒӏqoڀѹ nas {= AE% x (+LXxkqU~kY> Nx92&d> wWgeFj%*~씳j_A_ p7[.vFG.QG>` > Z `+܊aQ_{vrKa6[--&em\Ǜp2)`.>#ZW \mo>gH') n=K\ۖ!Є9:k-eAO'M};܄ U%}׍>`Ĺ?:k+=˧!3&t~I x1zum6O;:}^rvTT6 tpA\?Qs׃A܃VFPF#[!M>K :X\ rc8] jE4 lLKi靕ӿř 2YGds$`}ήc]_vX` ɩH_,$[&-b$1OO/~ӭ/SQАjE=[Y&Y]4A?H¤Ѳ9͢gk_~ZWT JHM/2^! !cpeg 9HoLϺ2eIlfk;Va{q/3,Mz8, +(渇}6X>}?έ*񗘧p`Jz_D$s-fMtLUpXljr㒑.֯a> Vgxwݲ&4)%EaԞ:u͑pSښx+1 s!!t513f>ju= *d+Vq9c٩/ D^/'3z''6L$I@`1oʐX0K@+ف1e0ۺ]$ʑ*F5":M.Hxq\2 43~ ;%^fI0Kr U>8mXP0|k UY`Aq{nZ,fEyʻWH%gYX ǫde*vfL=ͬ}Wt]?wǝމEFQ3G:N>7&Xh=\OXЃxj{R}n)N W+8b,,7rpƧ|ߖֵC+z/`~wy;;+[^^g ҌY9z&[c.BCdhxd,כ]#Z{.9g (  $jt6YS})0'!Pan g ԟ`F|33xNf%[9mP‰S =>b+ (x=*8?أI9}IWh(Q&b_VAX6^%x|(ꬊ%mcKCύ,dDMtKTOMN2X$+rѡaF{rUTfjѿl Fu;6w$v ;.4}Bi45Oa8-2=xqޝ*uVcmGqZ&:_%:[~^4# <=OFÉm>IYŹ$0 {^ [D# ? d~vႺ|1Y0%lo`c&U_W5{:`ƒu aÆ::n ' FK2f.Ϯ%x ,["錦bc֥kie#vq6lCw[oaUt,e@b-}3ufg;/co 33@N]0N9[YF_3q Nvf'*C*E||d .O1CvyTt:XL=w͇cևζ4̤ESïj91xp{t' /ek~W>R{ٯz~7|W0Go=<}9׷4Gߌ0IT&zt％]ǧ G66&'[K>zA#c7clT!G i܁idfQ[!bONvz_|~~3_t&;j܉?`aaO"˄e6s6pljcR2˘ N1Rޞş|p⩖_nfMok)Φ3ɀbC-)tPmrmz+5qm}XwۧʐlUi בBBj%B[r:Aw۝::X/]DFOV,"8 ˼_~z=7~4[G5QWKQr20OGkbhLɤe+:0;3?{o{cim]Z3$^bdyV=D4 ǻMFW+Dӯ'"͟f鳿ᨐރNoo9}';bIŃ&49.66XmaC`<+M20caPqNQ}g01}{8Y `&a2Z?*L-W\6<8A ރaI|3{@}RLN|V 95> 1*Ux]:LܵdIp0KϮu}E{y{P(,}aV+Ic RV,m52K{ngagT,` R@ g.{7,(:ࢇGf+g\Gq>;ޭ)^YFK2vg7?G j[_!<:ׅ-,2 M*&4ةCR [Zrk$_| QM$=ǎ7qFHR'շg#hË݅l IWb}3l@1 34pMփ/;٘Avd+Kt,O7KwFo[c2!Hq=~"Ϸ! OɟOݬ0݊^+ڳgM=/>yjWϳݨM,dCs]mi{2,i;< -HnXK\NjKb=!XKv7fw-q*q]&S@6br0}ew~A{ON?v~ǧw޶^rՃϵ`})YVx#e]d=\|f郈9 B]s"[ߛ+nv8xN=|ـy"ӤT 8 Vn8y~SНڧ]S.|gy `KB䖺nwn?_;{'x{K$;.^2%;JÉb:&nh'ݭU,ѯ>Lpl|w*Z(_<}8+dC^Y( QƘ&5bV1Ɇdi^;H[|bd/x߼}m񥤵8;(O {.๓DPgod7N`{*qgDZ>^2[-p!aK6aY׽MW5S~;|/d3?v5l~h v+o>Vwx lJU >(}~✃:#&zCc^SUzzAߘ-e4 @Si `9XDHD { 0p(b!)d&j*i+X(>oűO, >N6#@0bˆ J`Ԉ*70ܞ4`.f2 x#7eDz j_̠)0hPf^%_3<3j6OBpf;N&͙jxږPXȗK+t tGxlנZea'G홖0ݬYA䏝[&GÑJ>!%c ^9׬ +M}ErRaCEY(@7iJd-Җə6S4 ? QQfAR92R m>l=O*'?I+p %%Sq1/f&o S`ho; N[Pڶ1<ŋAU~.[,eג`~1"~I%ك@h?lSǟUʩ+D_n[M?, D}42۝7~VKjsΖ nDXы}` t,&"-0u \0{:tܳ"` gh]vbW#z#oqםbۀÒzɝWQIl;)|fO"`ɿ HPP2EW}z/qX⽄6GmOlG"ZrmU@j_[G{l:?⹝m%οc++%֭ۓ٣G_̷ZIyk䫈x6يƱp!3+ 겡.O3z8ڱCuWb&n ]~{ mp9\ '}juF|$e ~E"x8nI}k u='󵽒@HRbd?y&O6jӒ~+dꀴw?Y[ b ́ { +Q.!k )[1o7vPc|%}1;/ LhI2|R3pB=18چt87U$#d]a7m%guÏ]QO?;}[1p`y ZG)@Vܿ3NO$^+Y~ tjf(GvӳcS<*Tdj+%o7x*uQL熪-^Fv].7 O2մAյZ?dNU}tx‹\e',Rԧ^ Ǿ}ξ pJa .UUy:}[~+wgh=VHYa6hfߴJ6[2.=}8y`}96]vN%ZYՍS$wU[գl7n5֏ӟǧϋƫïڶ>f+N0f3X菦tg )ӕC?{o}7~z`wA YT@G05quc b5p,DL]%ϣUGa3ĒdS l#-F)"l'nB@8l8=#pǼlf+7xBI)`kf_,22"%g8>Z NuAnip@FF[LhOF9"WJO;AR۞;+~򬄹r \q C{=%(k&Mc\{`<ǚfqD%*K',nvaw g! {\ I˙w 9G@"IqUI}0zHd_sI7~pJ@{`,G,0夬9A`n|@ۗ*yLH6vDo% ^b%$X_~M;$K fqM5H-Ȯ}s2)OA0muDylˊILeq[LU"qG|ŋ8 ~뎼=“H8ș=~I7F>W63lzmHo= Gd/TlQg,"^Ouj ɂ|3:ĒG3ӛBBH_N0(:0?xЛ-OȀE%܁. :[αb)%V**pK{z-0;">{ ʖe=K-{u-7O Ysv{XQp^ȲwMbW_7P.~Sd_4: y=z%*i% a`愽aޞ -gK-bfɼdu w-z7䢱`d;Օ3]$}>("m!ܳhyXHF_0xvA[田Y5o:_QEY4CFܤM4y=+X vr, 'Ƶr(ӽ~G)܊td(?4ݿpA[8L[wUļ6Uzg?[+/ k2}ĝ[u-AoJx)hCv.x$H2aSs ݛO]pY D=b V4G_ëm=WemQ=:y䑻`߸Ɔ7q[!Ȧe_8?齏~zɨVNƛ{}#]@Z<=K/YnK7zE}²\<;}O: _ r+u]@[ salѳ$vT aNrOmoVXLȪEdvuMeuᬀ ƸWD;B_*&`lO$O}D3RI N']1ؠ]U e7$Hnٺdb ڗ(s3k&ؖF?%}] @XUآZٕxES>(_>^[bNf-{>jxI#`Q'ŒvYEl}π!l-ф1dk zK6q=ùY`Q]ݜ@HrNՀ}5z!rdϲCIfV"@gr׸kJ\~\?ڣWKո}z߷4;03unăg>n:hz[lh}`*'vA#f(I@jgD@y 㜁J@;\x=Q o^ .ǬV_o"rOG }ZFlIp#a6;䃣njrN_QqltD968D w жb푐!AJ JǓox]>͞ j/vܜ"vg(n*3:ٚ~קbv+J*jg9lP$%Lwoþ/t~`ArzYtKA|;|Nt j `_›mvnB>|Ͼ5N ^e1xֿ6GW‚e7 )zI9r*Prg]_VzٕlvxvIgݪ]XF"^6qtϢ{&(|dfK&'ggTb$ FP>>990߳G]J';}kk6=7yt\Zn D!.Gb|篿~!p$t+kߨ@C/wV6ѣN/>t/eo>} 붛P#QE@*4|X=lEK+j[QO~F_ouHf#rl{qA^r: Wێ}49NzV3wn>hlޣVAwl1k͏xY㹴~7F7>O60ӑ/ԝd ]s1b`9|&~_}|у.AbzIVK|^yEY/]=k֊}aw"!\pX,|s!踼ѡV:,~ۧoԇg%%C]%;lR~6ҋ]=b7ڦ}3Knl0|g6db[$4󸾙 wq1#30@!@jR'oN 0 $U|f #JҮ9?2pT c 4CgX@JU7-j4*4!!f! 9O{N|b2rcbEJspS{+%›fk9,-aEsQfZzco۷KA|c˕ByTH{cs+ɒۖ+ ,<0Gn2D`Ӈ9}3[sV!Y[y4.~ 1<'g%{7J)ZI ށv]qƛ%9_FwV0 &~[V=n ^h[{`ᒒ92ܧDGj==y-Zq9=&ZQje(D].8UI,ACw}r'^>?+_Ak&.SAٝڳߞgQ#|M{k"3%IHq1} Kic5Ø';tΓ8r[K'u-2 YC8R6ցGZx]r ~QrޜC/XɀYxIY%6hi̠ f83u aM~8-zjnw&yN?ˢTv&^mn BŌFQ'?Hm}z?':68d{4m[KbM/^eCnW>xCf9|{F}POOp+z~ES@!H"$7 \xުZFtcmq?oCO r98GfWQv1_J4ϟIy P! [Psۭ$9Uy༇~Ԋ?fy9B5}ӗ~[OCoM^-mɽa&97!9ֶ(jH,b/hE[.>m7^ %N+Ӧc1m bC^/R[!p^:vU*ڲ9Štvh2,y1dGlhnqYIr!o]bjIʽ`4 =`#Y\r-@*h\}Dczv}$4)`'~Q_ſqzwJ8Kg&lpr־/;=ޑ=+G 7)uAś;N)pL ŏj<8+PRΖ1cS:]FyGJ.>J˼B0U {Gx- *,hk&+5(V Ąpr<,n2%xk`&yX L .yŝ)t `0Eï{3lQ}΀Kn0Bb~Ce^n 3"AmpyWн*wujx@ ^b̕x޸W nJFEEa͏d)G`_U#k08H nBK49ܾVJUpsf!La@>ľG2G*уTČ<2Vii׋ 4ިOˎ@)˂ЬAsCB&8*`PRM/8$1lFP]B%ufh?6alw)b^Er*!X9V1o:ϩ\Sz3eL1+O`$mHƣa0j0π ~={-85 g W ,Zz$0/>ؚ a.d,hQR88g>Q"uX+j_Ȍ404-Eщʇ4L,4hΛ% A.BA6 sl:7rx %g+}6`|: 염fF6:]=oyފkײe+Ltfs^$/q F;E79m6':G1w;5)`6߫Ff(;KG&)>FC>{\߈;Y|Xކ;؃ސ29h07h AvdAB7V /X> _+ ;C~״[k%_ 4mczaY3v$Grvte{NqKFm40 0>T &ǔan|I׷"|옭&*݈3QM6X$x -l0 K^/ӗCuw_tE[xI’o5!@^$}4 õ #Uzڌ')T~-}"H@=4k,g)َc:_xPK_x+2ݓo8lP=f(?;oY9ON^T$N0ݞW nKF``]G]`^S-O #_Ѿ^{?ӿzoB\Ֆ˄i`*F2Z:$v"OO2LJt9GPm\|vý׵<{{!Fb"u%ZU:o鳟~|Jd>6 4D\ чQ &/AL d}/-}*gO??=;oYK.߄M {sN}?9]IYTH0;C-s&ڭٛN 5ztLw7:=A:x>}էV$z֕[C;u=wzu0(P_~w{~t>ŧ+Sfŋsl!r}lr[ߊ/4[|V<*Rƻ]'S1.1)Cj`GgJnk@ƫjƞg+>vƷ&϶2e+%H~?qLW|:ohfq-g|TÇmfha1]iiY#%_J+~;>·~n<%;H`_X<.t>h\ڟ-ECƕVax]|M!w3m%d|,^|L'$Hu ýCWNR']B0Jllzw)oݽG#)"@fׂ\K aX*ZvO jM}W…A|lARʲyp?)@&;\t-?a3$d1Et8` 3T gs&1怐gY9UBѽ@IDATR„l[rġqN?^k *~DKI8Ky;y ̋Fbf^ OO%jJH b#x2dEUy fof _\91FTA" kǘw)BFEdxԑaWƪW*iUZX8[2j6_t@.i>#Y8{͖Mndƌ'zUib8%'xUU8ԛ `, P˒r,pe1nuDY?D b߁xX< fE$S3PV@\p`J~KNY$0CP>]1גtvO&>>fvrn1~jOת JϑhO"[c`E3ԢsN=fG?$S8b(ݷdAFl} ''(n6*;w^B[WK^:oK>5l>R  h䘰{ʥq` `:9aZ<| >Zb]{#)ڣϿu.`v"8<_&{oz#يkO7ϋlCp[<~N;}"[/+ؙ}%ecjw ϝ~7~NOϛ{t{CDjˎ'ьq0d]nߍG$&M޸UmHMT!1Bڜ`mQڶjglVd}9 Y+Z^6~͂d^Ay+*H=:!#W_W:G;OY1"n^g>OZ#c_عOez{T%;MXo1?}r$9l7~+mslu?klQ~@Gٝ΂>*r+ƾ\e ʅbo+al76BAÿV:FLߺ*#?q6W$AohfI)ꖙ`s2nG'=3p9TM]T'dHmYF&۠A_7,g~Up<lj᠃>{]4_ڨfqN0zŘ9p}mtTASUΠ-[A.dR =fபf4f6)IG ~06TӢG ̬b9!`Dcgï㵣JhVIzzx;=a0r\FVq AAf6c_Uֻ~ȐMH$`A$-6886S_UD66wgOoa6;KÑ[(yָ Ŭ8aH^pW3?+U0g/##eŽG[d@#(]~wfiKKRZQxت  ~@,#H2p&'N\}yh:dAsu%x1I\.2ș`!{FA.D7tS[2}Cn\J蛤jh80dBحmNg79zvK)WraGg =9H%-OrU/ߙGr_ Behߔ)٧Fe;.)xۃm^`R^+8ʶJr ǟ8J68slGq E40qȾ8--pv-އvA6Dm%uz +Z:`D+兖1fcR ACb*I, LV:HbmJ$ w賅})9,UڹzvmO~lzF,fx8܏>,ȹSpXzRLfD{xEIݣ #mWџ>_$W_+_M$GxEI&³K!S;f9ѩFcvb+Ñ1\ϲi|$Dܱhfpvcz^tyAa Et"8ƻeROfWzN򮱶j5['bYAA5!`\|}f,j6:2q`Urdݯv~++|OwwI~|mZ>U:`6Ύ7m#s^d6iRp*<\S+^i{i /Av=}N ^w+_!|>c_xڙ wZœf~ao(zd25Sy,;M& ir0Ibdr}`ke׾zfvp⽠7dwv=M$5pd~d?\ۛ'|sFfї|~wɮdK. эus #R9""!=C(B҃.Cd 3ؾ(*@ڨ;{g\~\yn1I,6 ؞׷Lv|HB ~m"gz BDhT31Q`0#kIYy3^X]`еxc6ZYvAuS6,釜*+bSH͓OOfDDT,Xi5R&ĉ3M\hc(el"\&?+5]+0p8c")SzTMH~Pf (!R 8cp2'<.>ȉaRw GH`'t6tk b?ZEvaW&988u؏0pn r /v0anTO7K[SYj `-tGLҬQ+H {jf()cV,lv.|]jE8?Am6Au{ r5>Iܬ ͖,rXE"Ќ _S;F< 0l9m 8oxC)O=dM}Kv$AVT=^%[\7EKr .ʪ^Oy$Xh@/\2q=!Yߦt߂z&9 &em'|wcM7Ȇ^ i% 8`%`=XoOY3g{J=){ltSL{^ɣ}K:Vbp'q L >J4fC|:eK)ܛ\!, B)\JJ/}Kj|y&٨YY(\pޮh4ruNY!dI 8e [2$g9N»JbKq*BPa#zmG' aH.dH{vGy2Y7Y SQ-toȆUM_tY[9Ы ={D.[Bp\RA}ڭFFCe>lbΦRƍ8: ,u׺;z^EaOݿzrDdu -EW\<pXVG$P^i VEkHBu];O[/'"4~}ay6~ LM`f PPmG=~gu f4)?ߟ-_~Qzd{qW{ˍ[V6}1ІGT1ȩaT}V =2 S\KߨsUK/ޮ`yhWy{ݖ'~F'{e oۯ5;O2kIdd.F1η fIi,_w)>G~HF1٩G׉Ҿcۓ'Wwᴊt?U/g;aU*~}cp{yR+Jls}fGn  Y,&ٌ'|wOt,xW˧~57φ1pMNF k.!򓳎IT)6*/{x`KyFIQ4z4VbìUAg6ƴFrgpҔ@>j*gpg9J iV䒣&>n2\BZo,feݔRΘueT=8Dߧ9{1!3خȮ 9Ogƚ,QVDw k;a$3ߞwoJ6% P#InCў]`]?wi`@gǨmnP(ՙ\a{Nd]{ YW36O3&:U7 v%;ܱ쯛 rN׺_S,8#K`f^﫞XeGgmz .ZG7#sīGwv'[62`FO n9qNpl=NdeOrOw,x,;2= &/]f>G;t ok@9GOO&2I5a=<,t)N'L86{ w & x[;WB^z'3KmT9UvtOC 78/ޫMՈ\Ӯ P݃n[V  IT'(vѢ~k*el'L0w>3N/NC?][<{mVUO68AN#Y}~>tq1]~?iiŖO(wFo)뷋*D?o7څ{A7BwӅ-Wsr_}|уIt̲po-= t_ Zϳgcd$7>#y τX(\_I/RjY_ 'da߽w >91(/F@.7<Г`v=RƦMt~`6ߜ$<ڞmIƳvp[M2a$mJA ֯?-ٽ8z Ap;=~ܻs3ZOԢ%ң*"$]_c@2Ұ AaG˻py7 FA~kv*%D|}K\|~&ҩ^yTY{~Cw65ApWd;V7|1agɥl* JKnSx&7pl(v:{w2yroKJ/)GƢ_T}FK_T>&P6>'ĊݏVoF{\z93|g%Xp9>Ϯ8'X|Ox_MO5vҕ`JUZ#6~k4y'I }/=m? lf|k)\d#ͬ&_jGPGա*U:B@i@vVE,~bC]=dosx ͪrҚ/ ~Lr+'+{##tK*PNfKqw"^!ʋItЌhhϛE޾[Lj@)L> ܌ؽڦfgaxE[ƉϼȭY#ʟ0aQ_+?-}ۖPS pJYIuֽw96ESNg} <fDLdRǵ sd6:+7.;OwN8&gѶSJ $P݁JiXX BMz` 8dOr," 73_?{)֞c3zP8߱b,`QlX3g54񚪦)h8mk{|\폮dtX V|w:яSqM.嘦iEflï57pX( prZ˾4 vv3cOFnৱi~1pN4hƃv5]Ć+>fQp4:Q J@1(8w]CdD+(&p^//cxSM;0]8bkXVg*و&fodex x50 qYk5%6&;O6sGd'T>zt*4AM`١K_(;Dvm1~FIEgp`::ϸ-OGeog6w?n~Р1B\ v'ccGZh'|ڈ;ky }F zx"/iD@ d} j;1He}t ~-^zf6n=#//fgIfw\{Fǒ{-77 Ϳw˟\>|w&+>vA|{kDtؽB<*>&E4_OzcXãV]4KH)}73_ÖYNƛHݍnI Xf{]'C8MҢCWGW[9|7@*& :36OOX9kƴ;UUR586іaL艹P~SYq\=W7=c) 2r6ټIz~VO{G|ܮJN{oL-uU[ϜHO禍gϙ'UpI%};oWS X)Nx},8I:Y,&Č6i{5{6 7>|P {f6~f- j0BdGѠB]@: e@20a#3m0@u)c0H^P(XSp`guWx 5$:S.asDM.d_>2|yU*UayV>Ngs.m"XM :$V.6g+R~Tpot!]N~-] 'j{9r[fCkS8rǭwݓ_֚0ZkǮCk о y4 XI^ YEG5fjf+CXOm|&RFo43 Or!%NiSjmyx2ƷEf56}39eznIdJfTW=i{Ј|q``5^ϫk bGxJp16LCF|~86=ycTO'>崘1đ%l)pg=A#ϞӜ< ^xtd=-[mm=Ƒ0=4]}fҏ[Jd]2ӌxSp9o;-@8*=1_Oݰ"\ 7Pf0?t>_w{ekfvx{3@%jm̿qtMK?H*K 8rIŒMP܌%F(lK)5s7xbtfx:ɚLq%Q 5/9_.Ewv_Owc/mЌxʋYjD΁8ف,jLSeY_c=<6£{6㘬~ 2R .36.>VU"=3Ia'{ɫ`q%f}j ߨU Qp'pƈAul؍YOI6 `8iF0?Uuwp){]H: C@OƳfdVʡkcr./eF:Argq_ucc~\c? ᔞz>2kYD}I@IV=keI跿!IF=ozmlw?I3N:e;dpJ% C |l* Ρh&Qod!qu@ [?rǿ}UW:`;$,?v/g; Wf$???[Oߛ N>(h=\~oQi'gO/8d | hDg?<ƃMF>fzz.I9y~4n r{wwۤ1ow,g\^.Wͼ>Z^.YT=u'qot}Fsj}za췯 j8lMH'#x3ԡ ]8owkݲ:%/Y;Ƙ{рu=ï2)v~GD'-1/çngK9)$%s{O7ec^K,{?սO5N;fDNhMx|Jo~myǷqʑNAt$؊P{Aʍx@ϹXJM,]@j79ڊljG6d@qR@~"_ :B 3ĚਠZ>_3kw (9s0F[Y.gGr> g`2}Vf \+;e& g;/Qxـm5:]{>GvmQajGacyMw eh"wρ@'ߵќ]}Ffhmhẅ́udÚ`IYnv>` Gz `~Lr!pPbc9+ᘎ1ag?Ih Np꠿AӼ^?)095#eV!Yk*-˸G>ypZ121tHIYU0JlgC?A%3̗QK$89 Lnڜ^Q H(=&8Oӹ"v6+KgTtS5Əkfvk yh}V;k%@N?'<m@?1Eh&H6Vʌ},,]ߵ=GBQ7 &0ꚾ&8ݬd-M܌q66)và |4$qg2΃':;5O4»m9<w>4{GO\꛿6i]+mФ#*Pǧ2&6m8$2aT`M;7gIi@ݝ6C:cmpـU+PΆ_%ـ N@_"IS_y5܂j5QPxG,JuT!ԨGڣ@֐ϑ5g@1Ec'Hȕ1&iX{d< {ᵷUW ;{G_VF.A'@~6EɶXv7@ggxDb-P'hdmvo<ɐּ$љL G OTGcqEI}rR Gd?ؑg˾Կ}$E{l>׺ (6}jMRo]p=cܿua6ttQ!G։ VnN3Uڗ;}AV&!!4MfbP|t0 ]1dGc)״ՃSQ> .Zk-سs&k9a VG OWC_K!e9fXwxl9`2e{/ɝK˹~?rRo7+;?|+c9WQݮ[?p/>ֆq'*E;\/$AA|Eϱh=o}oxY rKėYk6OO+܈|DhdhԍȱG'`y_kYEĥf' XċYuz71G9UqP 8"q&E6 t&|}=RU݉}^Z%ßo"yA3[ˮ ݩM-q_vz9,m,7=d:}~y.ok&2*#NK9_³3YtJ%VQ")~р Çw>u<:A"Ks\oDY o٪{~k\Vw. 8'Q2O1?6TH>Q-qzq n[{|#ępb]fG<>{5l ]7oF p~_z ټ}*ܜT׍l^g춗+lTrJFU{ɍ! #^ =ƿ]4Ν*Cm(z+73iӚ}Ôd3dA8= N[Γypr֌~rI!nSӫ2Wd5 ]RmetyF'M;"^2Vpy9 6G236uƌ9%;ƸS4KDWOdh ba`Yj|fspcMv߂f9պ f;r)qu`d}8NkP!}zD?m}3kU!3V6`[ygkzhNyΑ}|,dZ0rǩX]Ωi\W ynr4O=J_f]L>GTQ|M&qFaAHI'?=3!t|4 D, N S[/Ѫg8ɱ@Ҍ^Cƙ 2Qd "wf~Jԇ1QE643N}Քϧ8[`3|,ۄL wL/j%ms>e~O=?$v '{Y$''28[4Lpk0Rx }hh6 O' &@n<@58,h&MR{tq2rD)yjhS>}W(0.; =_FJ?1 nIéb %xm8!!{Swot,ڔK{i+1tЭ> ^ҙ># Tu`}N hnN'6~<%xTpmEfʹKpZNc]'G}b{K=ɾ|mVBaՎz xjjp*?vAmcvϑTIi{XZrCc|%ӗd _e4|+U Ftt?>t7pOygQk2Xy0l\Lܐ4d|oK]lC[h6 ɯȉ%E}W%uʍ2nt8Hj\0ΉF5F*>&ф.:4&b8ӣ<65 ZMdN"n\f]ɾ%@LM8T LJ!20XuLk263>1,1cx嫄h`*c#Ԏ*47&tؑn󾟀I_[ljd:멓jD\vѣ'_~'adlTdc&9 }j㪷ѶȏOvKD0~9sLAncj)Džd!*e}{࣏#??r{9 GϷWdrOtO*al5ixWhs%<M=`kye4[x̉+ :w;ȸl&}Zr,UsPn1Yڑّ@IDATa1 QI^FlEo@~sf9 ڣK˵/ Ns(x dCn2[m=Q]v8_$?>\哔t0>q輞)>{[˙ ;oƫej8vDe (v˺|XO>u,}8 *JSmL8{.*Vcd'sK5ylI%Ƌ4F4O@$ph w |R}{Ȑ7HƮouhC@Бo04ʻ{} L`ck`*k0@ -7+q&Ծ͎ooXcr)ݞ K)5/e8e]A83i3ӌ奔C*6ym)Q[92W`DNٌζ+u ,πhoxL]X83Asg~`8K0%=i.73k}fbĵo*K$g6hr]5 BkS(Y;pPwWwS!-߃Ǹ'p4ƹUbef`mi( h%c0p&t <+yG2g3#zQ?$'9nMU<>L O=rIZGi_G:pP>GYP8TėTɡQXKNyIG !pt86y+Swr\ϣ;ߔJ0K9pf܃tZHͿއz= c zkVNЇڣFw͡Stoc[mR|glֶl323Abtܿnn@/xkg'b1z7eřxU &}l[޸|zyuu`qs6-Pdsq=.03|vH$/ݽ M'J;[ͬ_l|G~L1QU;3ZpͷńMҟ޸|ͷ_]~7f֑!>}6^}^o-|͖F뜋S g04:]8;~.e"Oitґ|[NN&28Jf_̊U+Px3@B|,m%xIS%ߖRzJΑؐdom0OG7&`!_aYV8i{Zf Zz:TMi <'SM 2&6fkA TLL8m+<D$HZKz{`(0m\v!8!` -FT. =p{nJokDوĆp :./06)k>^t=^y괂?Z2]FXIqJSNlR둜/*Kw Z'wnv\OF8yq4άάaMPiFZԥܖn.7C!Yp8H'9JvmHR ^8!OsڃaJQGxN'qvjuN@9hYaYG˱naHGKGYD8ƳJz324~C\@ӏ8`hFof%{QtoR-~3xӺ_+`fU$m\uP4E_N=+?,N1RQ#w묉xD_'jl6ѤwERΩC)w=$BG(񲖙Kyy:/]0܂hFb-ݩJ6]֒NPStO#: hMgVUo? vI`6CيUWZP'7_8_855OcçFk'F%"xd`w<8Yh9aA?DhSm2;d^HCa\15npƯtR8Y('ZUo'/tiAnt1zJ욡;rfmalS #h@+YaR#ik$k[ApH8k۱?K¢4#Տ`#N /̀5hU (CtKz|:"5:?&m ksY1t5Dn>M%T-=]"!kvM^XTއvlANrq?v:z;~0y W^]}/?l۞=7nZ+`*ɝDxedDtj~a˫o6[5pfp q36;,\ѵ]ud\v np?֥GZbEZ0E䱽(.;QR_|X9=8.ə!G?E3SsK ?eJ/2xf܍/ ORyJǜoO:傷[fM{&)ƹ -_)ƂS-ɪ>ۺ+˳޻';=;n[~=lc{׶ 2VA[~rM+V~ ξ|x?]ﷇÃY 6BGrD﨨b͘mJ(xzؤ tcZp{7{Gߛfʓp<鷻mwʋ݉/I_vxt6{bS4a{o*3 R'I?(1_ҀoDF^wF3f?6vcQ"\`Z'@g(kvdccVRa~Eɑvfd`^R v-GYq=o3U:KGYA V'&x`bgnƆg9Y2j0V0dbo052B6)9R%X)~}ty8uwx#= PI^g ?`<`$o{%yzBDF]DХ1.Xzk*;PMLPYcOt_8<' `pu䣙Fjr5}NyDJ隍#!tXs4COQ'ngVDηq1^Up{0F}!ٟom4|cמc\&*$~ UJcfSj媕ЊS1>G.yB+/ Xoa#Yz>qlچ?/1MGWBد$+8]L%AlzC?>c]gIsMO^xM[l)2Ŧj ﵱ&j|MN8']~Ju{:*|//|?+ 2Sg!.OCjmW)h Xg<39s],3ٌK^ç%)*"_cot[}y7 W<?_~m8w.o|݉sU\yv9qfRdf˒%LIakpcZJO" "k=77DJ !0L FRjhr\֝wQ㳑F=nl9݈`~/vY0L` Zg>2sglq.㘵19}gkQMA诊#0JLifdN`'Ą_賡 '|2P)L&}tj c2Å'8LֺP tS9#,#'y*hu&_$~efc$ DN6&TA!ќ; O@L|FL ^5~~1Vp92Q;Gq`8iN)m?p0sh+=LBLvs ->Ȩ8 \YCYדŚ|L(Nk)7w{)}m̼ ,tBÖu. Ġc?<=|/wWQ_c~o p5/jy4^b PJGC7yk DtDz-?zʊ}%wКٍjutq^2-H78iYOp)>wNE2!Yf`@NzR"D3ZÙ:CL㨌jOn,F 'gb1ۋ]Ĕ7;23cyH 83Cx|y#/ ~_ΌJDKD1$ Ig"k#_p+k2.%'Ax'Xr֎Vͨ)LFukN딵5#GіTghn6;NFЋgFJG~zRp?H27Lʚu RUI)JW %#m;];b/3ѵƦ}fn0` tʫ/͉P?egځc+T= o+ YW/_ZfХ+'T[=%&}mH J <]a=g3;61 I/׿e#O{P_H:N #X/'u:Kk}:]XH5ko]HPkj>8S@v#^u?1OfXÛ>$WksR0~5:s6t ^bv> [i&!U6}eBlw_ GIWflu:ǑpKɛ@uʎۓZ1 ;`whV*Fp3۪/4kK v<&q}ЛE6~Z?v6>ƒ/mÚ`Ωa>skB#^~pl 7 3Lf'.;δsdE<@8t1<0^=.ϋ߁ u6P<w' Tڷ`ȿ ~r2㸹pd{@u_4OXy͏_~|7m\͒zRp,|?nKf2BKؽq;6 b[U \NL4'(et4F ?vDtәf2`ϖp{ x,;MnHVމ!}xs/ffn~~HJNB0˲c_gY׬ۮ`HTE[-xcf׿_7{u, \=K)7[賡dU-Ͳ ])mvc;ULR֣3|k8jo!j)ib0-;O3ڻ$ʣC42^1N #ε+˙ZN|Ū;OuV'o(>FM@Oߏ.NFڷ˝o-p/|qa~z>f?W#r0-e}2lqFz\rU[\ Gv"Y܀epQzїy`l_||Ӓ4&9e %ޛX9y`|c?nbf%&%b3,h4߾eۣrFb g{$LW0?7M;Y:i! LHlMu*k}Y X0'[p6ǩSYe1 Qc 9ŌqIPlr=8S9 !៲ٔ AlXʾHf9 IvĚB[H3 laL v)%Μ8gl#l <ct {8 JErYc>bGeuH8`v{c`VgqRƫ}wc]b,3fg8zlVJૡgG:)e-Ll8tbzNȎQ3>)p33Ƅimu.zE3K | dtXdwesXBVO4,ZXf<]]}ARX&kg2}op"w+?221Y]ɟH`2k0G?B>%6ko>)N0CC$SA;x4^@p f<+Sb;7k}=CpcG۔):$ܬ-?4kИ8s}%OPB a]/Xk&9_-:Lmt;#Y' ֆlxgkN_Ƃ˝ zО$I-iMT @r>Ok! A+mG-$C:Z0n=m$%3g@J= }(pvDs@(fp8OT ]?'l>i^&7e0O`W"'g_?BH2KJ@qz=5#/`ﻣFICo䞒 g^ߓ,'5mtexH2wf R8@p>|Wӭ1_kW[/K_`:*>/$'m }mL]–ghϜyVP}^+kU$F7h!1OyQ>*v!?+v̌Fcp%DФ&t~d(lk p谹38Q/8Ɵ Ʀ>aF5_} 3h@/~ >5*cO<ĂA7ׯ1 @`^|/rjl?[Vzm^ηEǯC#'|ѧ7_9gS%@W_osG=z]*[nȘ#mƗZ$Dx.Wuo,J|xim5~ퟲO|*k/-24!#5;N*;~ҵ>v~Ihh#8ikd<»zEiH!Wm6rn3˭/,DЃ?{* Je·U@h<j-2w4xΞo'}@<zsD>RUiH)vҩP-3sb/Th6ʀA/1lgp\\A T^pNv:%#׾ן,wZztl˳wo[R[vϒgIÍgM&LozJz姿~{wǟ,j@6yܼ덫58MO6h=qҋfwˊty-"^JǓqIxjL:ܼs4ƘNТ+MFӒ5 Gwǃ/׮7_<&HW7Fk&//~.=ٰ-Y"OcG؋-7%¤wTI.I؋,|@:i}Dիs3;A%Βgxi0o%S]3Gd|p$ S"zXCpALYG h8WA;VkWϫz {A8bLɉɬ隨#:"862FJBY8c3PICu8nv/AK͹aF #AcFp:S=58> P~!#Ҫp{NƄ'̦ya7`7ǺB6P{p2^n6ff*n3?IWr?h3t<  ]gc}妡6'i&m2gq;N r6%1TX40bYGK82M8F^ )2a(m7&B$q\~4ڢ,ǹ^9,Axo~N7F*Oԩ6-YR?%G5^<Ⴉ~+Dx–_נ66ڎ+fq<7Nml֌yf^p\WOh&jg`q fzd5S襯.CW 9|q4`䭸%on0 Ό[`!r^K0mHd م2lЦCxp,,;xd;=+434ihm&YE9ڐՅn h#NeI 9s1KG9S ||*w1~4Cn| hof܋M-@M:8'96_< 3݌X,Y dz_dM ]Ҩ⒞dlh)LmN^Oc |q~Y*_~T](W{%ZOM8Ж^OWrdOQF1+YMETk\&J5\sq[lf`GpjوՑOsg Xrp6(ۯbjMk>;(KqXv|Y guVzVUZҶ}lb#lyT XAH$48I{>UaliUcmNaJgΤ%Obw(,q{a2'V9r Aw.څ_VuC^JB O]S}(6]הNkFՁDҳ]A Lf]3H]W]@iiUδD=5Ww`$= _؅h:~ c ^IEn"">`t0o_ݻw>ȏ-u;M{g7JկYH`FAg[-`3vqnԝM'5W/W +Y=KN'OvO绵<})!aBa~`bݯo/?1˯]m~;UAIhJqY֬S$5sBh%f9S]CXմS@n6 a/qCeLt ]}$ ?gUN|ϗ}ք+g >%d+$fw$$U(> Ƃ|Rl~v:|.kGܔ$>lf^OO`[XDKtMv0P ˯wy*8n.pn߱v7dJ.>1YpkCol/#_+tw~|a{/..WfޫԹ^pE DuvJ N&;GzZQx;/vE{]lWŸ2#WOm.bJ}$Ixmf%d3mwf'^ ń*7p/1^ ~}M}~ -8_l]~UX(mD泧Ay ֝;>M>;Ӧt~Ј^dt\7K8Íqwž_v;&ݚhfbTp:%L~LH)Y̲ML?3S@̔kj_5G5mH0g3xv^5N-"rf~^[OC N~֙r 9sNzGP8A 8b31$=pR]u>uom׬{p%n;L&0pDpx<^23GC o\{_)Uল'9[O!@#SJsXDN'>#9'x8ylGƋfB૶CT}/kGs]eFE괋YK˘ǸHy1LGf Fqr:SRg-a"vbus34|/U:9&_LÀVͨg$8~p=ǯ?d/ȥW TNYs1}'{P(Ao$"n-=;q8yKL>1b$G-YRl6 .UPoB'Ps{}5Z>3Ќ@lFcó'k:SqeH?A,-|bt<@ÇLdޠ/~D2/!9|9 C,jۅUJ'w)x!r<0kc8'hXf¬ +οt: ,R2z/~*|bT u>xO2/ ( Mvvj _6KN6ĭD E*.FXuH-=y2r7+́ANP˦d&i G^rΞss=U hY X9߇=i攩GnR]:NW[绁7SR͝ZJ =EMb8n%M]g鐽C‘D+G6Zp@"5Hw' 3S-p٩JB5P)1y&(z 6J/ !@IDATt@m62V4tm}~:m] PR+\ 6y54+xN(1WԹvVA:E 'T_}wy9?YO3X?|wy窙jkm6g \q9G1:~'*6 L7rϝ~s_v%Z/9ەo&ZzrJ5T|wnU**Bͪ㯙zrҝ\_H5a[".,<8hx^p"tn[VI?m8-AW6q_lwa R+sq{^+G=}07~~|/9/ٔM7J  b9,":>cA,9G1C?U<;t՗޺G_>G : }Z.诪?='Uһ&G'G+pX,źT.7%{=;oGD۪벴٧t|]2уoϾp`o \>\scz41%gwz|*7YBoᑎ_q@n&"  *3oZjpOt$Cҵ /B,P$ބUӉ@RiG\n0JqmBX6KaA'lK<6YEc=VˀbX OT\ȬFcJC:s(> 7_1k" -#Lv+%' :IhJ#' !Jm\lzᡸ\X 5@׆k&$<X4Iy1 [Na&wh=wK|`1"s[)Џ!5} S>Ρ1f nm Z}qJ@P}#NJh, FD)JNJHn\ͼ694k &ѣ 3)|OqA8DAFY;%zOad6u5{^5&~7w:=ؘ ^ԛx=ymLqdnAY׸zc~|ѲH JrxɑDΔysoZtبj`WmtT쨬~egY?o V^k3ZrRbW_TG &3W%69v~y+{6(9|-?h=܆ܝNᴹSf܎de֫7AOɌ3ULk65|]rӘ/d\UdTUW0ZvaX3?`[W'ѩ߂ /;#(:kP/tx s:xxX$N?3wz>\^I@94֑x[Dsܢ!ٔمڣi~ȗWV=ʁ`xZŗRmёxx$L>fijl/75Jõ=Ume\ r$bNr.i5ndž6gqPx򊁥1 ߄fϻe닡mi8ݑ}A?VO}o9@$niKO:SR02At.?67Ơ^op .|7gQm\`zla0ӓgf5>Mbw]\v8#,AZ‘-}PtS?S\ѡt㽎|qW2C}ZTjoZs13C,4|W2NL~,)暄EzoC_:t{mtrPe\\D[ɢ "%찙8aOR/{eǖ1K򡓱x| |[`:I >2fx*36ޟI!]}٬{Wl!5/]-⟚A53JoXIr _jɟc^ݿrჷȷFCV6EPBdad3OP@UUV`ybvRóxM-3:jKkoW%@7?nϬ_z~gUޤ&]x=\n?-p%[i-;׹sz%->%iҍ?hd͛_/,_LniO?2 N cO,|L"ߜhO Y6*e0&8cK7S1 _zK \I]orheehuFu%rtDϖW.su;.g[oo/4o⁄,>*qgr;`"tE;~%Vؒmv=fWM<52W]#[?8Of~wś?%Zw,o Vo2xb`p٘h3n/Nٚ/#85['NKReLmas>DZW.GAe8 8] BYzș8/_k>_M{mPILKq c΃,_΃mqom{Q4]٣ SYd5F'˒؇/6\Dbl&OAX& >DV}6UA8pxjN3ؿX1YHt-(s0djvXVdp_3b}T6kAcoeddlDawOKEy4'r]@} 2DY0MS{FJ6$o,ʧ +OH(Y&?|2  G`?868U`Azn {ǠWEBZ`a"vZ2 ݃O2~a |c.oPˆa`g} IE_=X8 Mf}c$l|>܀x >k9}J" c84Ǘ0 uO=ob}@2LƊ1Йh3d؇pM-_AQN?-y % @K&{Vh6I[er_v̫7R5ۗt~`j)1gQ:Uw{%NnCtO+i{;I몗^ klkb7$‘%k rʸxB)6,@%&\\t>G'hQ~5-5i>$M Ώ-_7&_Ցt?[p r*Jw?YݹP촗?.>%/Cq},O\n_\/IVk۠勎f׼?\j p*CQz#ٜZuكΝ'GTQpe=C}|y/oY%Vf$b"^k4$ UU#syuG3ҲBYDb#6oGK%o6s*8~ɖl5pY5Q/~PqQP'ְ.&Addr Zr2kG8 a #0v8,)F&Rdf]* Q]@gN<=DDAQ?6P@9 AؚC/ Dv`bNpSDy˘#b8ֵW(^&C~s*ARJC>Txo]ٙNf@wr?3F‹o7s98V~Ry:9?VZY8gSN3^ ƈkDS_4[\ƫEg,Z# ڟ!,e,11)xPOZګnqxs0{FG '/?JI%]>#Շj ߳ )El6p ՎY 09=C73QgDa :ZS`L_KJ{!⊶C%=0ɖ[Uo"ZeQm/gFg'H".RHO1hk@*הǹn%絃oX [zzKXp*C}N6=I#u!,膷:H*؝)U6L2>A<{{Mmcu6,>+н|Rw:q.)-nǍS_ObD#)YgI 05q/5^h?A: 3NVOwʿ~{5I5d$c1F 7a{h5jAr헟1rj nAsMJHrN%!-i4!Oï~߹K%4VaVL7(-p_~k 00ϟQ%ɲ>?j•k%-mlqJ45<5&DZ|1x 7C:og 3)ԀWٷ&nO~Ӧ#|dpVvN|O[J[E?q9_~5{[٭/xZ_};˕6YV}$L P_l{[>N&/9d[M)탖z촌fM,mzσd=F){@y种M,&f }J=lF*N9ߩ/i2%W>y N9\d.ͽoKd/l,N.g.b2!  WM2 |f~S YH>Gj ^F&]FU&|_9 =*|^v_[  ctX,uvQ ./`Ȝ,d:وT'e*ٻa$5D_MΨpq: >>!mv1JN'* c? vLul &pRzAw0X:F6ĤLm`Sds )oGqؼ9Z5@CyqTllij1AN݌3f5EUbh5Kuzф`Iэ) #>3IRq̒_ࣁ1aIeT$7#Se+EsXV}5{ॳmc-[4 sn =†ajH@;]$ΰ1C=prQpoz°U=xPBjb\x8dlU3iB 2SN@S+OnN5elIY ^Bq4MS8Grtw씰%dFĩJJgxс#U WT V]9;rrUjp0 BQE+Qr#Wgl7kv!]P :AEةTM>jXon1:\$Ϻ-n=5[ 2%). Ѿ)i6 7:LqZ*?'sv#ւ=k n j"H`۵},8lYVڂ;]źg@P-Ѫ4m# 9<lcN~>k1 dY:)r+DgUE9JWⶑ[ye|7|o愦亘3sIRٴ֐jy=mxPJoJ˘::eiϨ.e7:L"hOR%gl٣A \l [5G6(y͚j?&6_TR{L|t]%V}>^;'q]h/0;Fץ>̒n+{{!CB{ >âI~:?wؑɞSZ?7AC^HKlI0Y{@~| Xi5Ssn%^A\n5⠲C`QŬ!H&cb l,TeADƲΐBA~$q0F.(\Ͼ4B 1r`;;6O<s#V%HiXb"}t Tq65KRlWe\%!YY_Ơ/Ц0TЗ)ތ˙hTYdN@}Mc+-H8xٌDH4>8fq=V%c]w 9eUkY{ISvfIk2g=EԬ~a Vc<#HFtUo0t9g\%%)>Ǜb 7#Ю VH>+lbIG8}R)^8hUjk#֗06,_Wa3xNIQB&2EkW8nKٛ˚f3 ( T(\))/YR"e)bS.k9t?x& 4ߏWZl,e&sǴ{+c9z~ Bz| %L,ИN~"A W F%W| {ŗ}u(p{,7_nv 0ø^+5/f7ǃs%LT g 8³kAT޴$݈~S55]VB w:lYS\t'ކ$;ln^^2;D2ْSXT ԙM\8jF/Ŝ0Km7o&k%~FV'9*C'jmn kdӦt vB ?ZJi<ѻU#?c:p82V}**zD:]6x&J!zWuG_IjڜYc}5"17H[($M{zF׍bCﮇPR?2>П78 !n&#)>19nOb.ܧLt4D>t&Uk_nݾ5Ĝ6XQ8bdj]/oYdmKL=cϚ}I>_g7,X-,^KlL5\Y;v/ݾY~흷^Mx|Z罼gˏ~YWfIc4p:̸ dk=xw/KA co.AtSB4UsYݗW2xuv縉Ha3ʖM^i#{闟O"R eS E,dϕ>?}Z;Xmدgȷ$ſ8ŭ|:1{-h;]t.بؾ.҅)M ő-^07l_0SVUv;wcvECkSQ)F4Pǿ;eTD?woNn~nk;xٵ'UVc=fkonޜI>e ~η]nr?O;ZffH⑻wg;No{h 7|H1ǺƄMΝO8}q 7fRa{~Ӝm *v.)s.Wߺ>ls6FOfw; BE K5}5`jR."n5"ō1` >FA"W9B~dFԹfdչ&%D !,))æM81s4B=y3.0)&3|w:u Jq06FGfC1D3v82jv#'f E$~]|?X.^Pmc2r } R@ S:Ye u%^;Eg7_p=fV< g8u 8g{FJ8TI^dĵwg*vG#R>3cLyxA 3я paaTPk=`yNA%0=0ڒ13ս`gnL so 4Mc\Od1m}¨Pb65#w(`ripS`l۫oo8=ô*q:U)w|O&=)/CJ:.oxn53nЅ <3y6 *#Y#.tnWPbXs0X+zȺ)q4߬G~ vkm:AsbekES_VRgWcǴ{1_R0ZQa,9[ M_j<'T/;8: -,Cd 2o.†YEֱ1rJm(&f<vbEv\; ^ Jnh:k!Q12,Q8V:%lFRJbwv8o4Ɓ)zY7꾗҇ $頥Kһ>0Df<kB]l|=Oi76# ~]ӄ1%?59rUlھSWVwYS~ѱ6Lv_u"fϖatD h| &I=>@xSu&){l*4+B?4OQ (vm]dwDu# /D]%uC񢟇+yrDz4_&s;7@dcƔ^}-Id 0s$ kM Uq6쳄mGnb^d9>8W|He6}Ym%ŗGm${'*1GkY臟AJ-_~2c{t;mtvmsVNiBO vqC^"g#Ⱦ0OT $mVqǕ'IJy~\N.+8sMd=4h-0)Hgߧ E|bd< Tdg;}f*=5 .g~Vm|7?q>Fq &h/)4zfXD'4C9 ,g6xc0LeP) vaLZgBx|˦}3C̣ƃFȖ ›Y;)֞bX|H:"Ǚ=N8P_S֓?0,s"CNx&+1lhfA8f<)bv^KUP&ej,10gO'/}xk(?h@=xƁٹ3)g]euj:J-S_qO?]3˯ FeQ&aEx%ifStVqZGP4$2|+ov|к6$T4FAܣtSL\ILRe%Ƈ}U)^F=,c]ۮp_kJx̬b&x+3 }8% 6RMfd}hϤ&y荃3/~?NWVwĊ5/u~}85UC?AW鳭 ǏUFKdTpG>_K ᅜR bKrIO$D)1SnIK|wGzn;f&2MB(=#tukpntU=Y]HzNY3Czl_P *}$]ƅߡqߍHrKrvv/ivկ kX6}p}zј8Ɉ;8vW\Jω<۾۳t VO c.Fzlm=C^fWLB;gck*ɽ̗_{lgo9f*U>ٍ^/Pԟ=[| PףK .{.4'lg6Ѩ[-ɦMz5r]N՛ƒ~ [!=ZϏA0,)c>OFw>X~T~<|h.y8OT|ξ_J>h 6ߛrw }ܬ|?}9+'=_[8]u $'7fz'tHm]<>>Ju }xÀrƲs1;WU|PbF>|ko}u=WϹW?eeahGX_8ӑ`Tok z~L{xLN]F3yL@ks]\vMs)KeDFF&j(qD≐<!`'KaH@IDAT'h;3ɍ1H*%u#JpIm-;/`_W+](J" KmpJ mVCc^ͦh!@"B`\ ɀ fYWX˺Mrb^6Nck,Q)dҐuH ep :bq8=9A]l*y}'J!zZ\O0dZQ$K{`Oj`+j?mtOv2CS^rǺ4;(G.bޏla*ND+m}knJM|BNvLS<=8CzbpIk*5[D$>:r&I2q|kNjN.q ?Ψ`Od/kb8zgWsmpL鰙|3vWk_"(3cIL)x GI_O8UHEsyMȬ _ H16dWIpGgqȄw:r`0_e0t͝;;Q3>> -<,8v8ntO闟ٿ[OtW_jyKHīޣ|:A7O6B,)(T\1 Ί{`*Hs /Kտ8wdY덗`֬iu xQ/+t.Tiuj#0T"K٘#'hawZ|yN6h z =21rԒ ' wCF5 ٢jwx \5}Vw{ˏe3*ӿխβok|]ƻחW.dٴxi KQ$ѷW`fkg@laJQ-p#-ho=mrQ;Y%[_%-hV}pP|\Wu{]cl& ~L-:\XNl$36#iYggGB>ą P&*gN ]m :v[wUq%{hux;c3l$T+6IiK udb}(+aSL0=+wѷo[د_~jJqnAcdj(Aiiid;0!rc^5QYB; q]q0F܈7Q ZG&[g IrY૥GX|';iLKIlՈF1c',ȆpA6qHt 0k8ˌmgdmM0P?JY4r@:s`8 Z[U ljӕ+ϣR)e}Oˊ5z?&^?B1P0k<L ^Ct"9r?ha3.{_S3G^;;9G+Yސ;Gw:_Fi׼Re9c,6U\$68kB36ӳ X,7Lz3Y6<]q6,ϸǩx>,e!3>}%fFmI9cxDAq\eDɨ`dpHk)0x  Z6s99#Cu֤T{kv;9NeMsA;}LP~, WԄSk\Z$ֽwN$ cBkƬy_?T1'T_F>axW28pm'$g Y϶GJ1HJpA_;iLSaRtYU[MVc` '#̧4lovAҶ)L?Pƹ`!\HNm^'(*T1=`hyXJUѡծ$,pN=')8$#5'1fl}3ni:LMU,,Gx,jYWx<_˨[s.qA v#-6I̺o AI0#Jtvf- s]:}.:Z2/7OYfK\Fdé@s𑎁IƋ=!J_F8lj.)W0}ofЁ'g3k(Fuvjj$pf3ևFo>UtV@Oy$tGu`~(L6R;7֍ W I\$/SRIF(DN:&t|039:f7Ku@$aA[x0h2=wL0ywo?E$hT'g6/jzH߲/x󚞃(l1}{x`Z^h+ꈼ6cS0~3/G61*=?7+㾸\}zh) icԚ)(-a&ygJ\( lv_(Ǐt} Nn߼lpX>˅{̿)x>k/tӌwu`H:xRxA\ ◓s}ϖ_|ｮDg٥'66rEby]ŏ͆O[ڱ[rLލG=||rʳKLl`w˗ϣq8Lf6؋WumYɇ{Mv~ps c?'7k~7s~n?oJX+Z%uM J%kSє?}ΫÂ#sX@žȫdljd}\_$g1tTo/vJnJn 3.1$`.[ua!JȍjVģGO7n ޷~/eUזUO}pyݷڇr"^jo;;7sĖbv+/x]Id,jt8Fb:xmՉ}I3tN Z L{8$52 ~La%(s3 G 0Je^dnlvS*i=s!춈 8a yEmY Ar6< =q8&k?Y>ޅ\[/Uۜ6edL mP3[oyW##ZPLhzu{㥬>f6)A,d3#SGή 3EqHhGr)n8,YaFN?2)C%].JyʥOlrzrt޲w^\UWJHݫ7[>ޘ4=$QYØY,~fvAX뻛q4/|N B=Ε{&G ]pYJbs _K4stecSDf*p}w7 <˺Dc ?uY[9t=;cnJJs<_- 87'14GRhùQdrchX*`Ft}fv|F ̓{d7 oW{k,x!i7GN}{˧x=d\oG͘jjWɪ9[!q1Kgh>54j2Uο[qdlT ZũwmXLlY9/xG#txJP^yf!Bv8]r8dlS:'*5:s|!|`ck|F1H!4{hh0\Մu]0/_G섊Ն8XRҁW(IYk234b2_3鸵c/5%hTM?t^0w )AI 6ãf~#8IFL`@pKg6#3oبF 3]}O܀B+?sO?_~^{mtĩ#8V?'Qp42UtDAl*U7)_|wfwoZv<?%ߍyc^pO)4BuTwU}΄ܤ尉'O5..b?~o,~6N6Ff9:,zćqJD[gr믾^˧i;|t;J`s? ΆŨ lk3k?BF?q)uOe|t^?S\=Y7;V06F.#cbCA[Kr]Es6_tt&k,lM=[:sOFuы={Bb\4w_[鏾];X~1`6x=3NT򰊆5՘?flr߳3% bٞ۫nJT ޼@I''v*t7몆ӝZ^`%kSAѤfjJ .PTudʼ*Z&ACI˃X^.fkiD|^$wULgm5J.ѓG?YֽS$'-qBF >h6|͸;lp\;]xblGGz/68oh6`PfNoN&so%S+j/u폝' ]uWy9sp|Эs 1 E"e"[&@UeVyiWUY4`nn3J?v!K7w=XF;)mmhԏ!ɔ7ߨNFTq9:59@k?1| g}B*bX8=KYeAb Hd#  _qR\Am\i#eS>+BiNN m jڈ6k 1><:qOG3KiYdv 0ٓv|B9k4& S=(Tc8uȌt{AZ NzN=^#1a8A.F:3/!02\}{SΡX]ʰoG3NIq0)R`'qJKLd9L8aӑ7}6p-#)i we )\  $|Cm||lfO0u4B/لx(*XP?"|Kz/~̬! BkFr`L'{&ݐg_R#Mn캎_"2V~9yp=7%v/C6d+!m6TrޕLP⛍@O\0˗:kH=3tW69T kM3L/=A<wSCOd޺F\3% \xɢX9lZѨ+ɼ?ʞ CmMvk[ -NzDSt]g/Ou4,[`'?nIT6sެ3FztM#cV'6@p6qB ]Uнc#Jt9j@g4y1xֻ˾kw2z\~:52(y&?dlTA ܸ X~O?Á3zF"5X'HXɴqo30 Kxq9]"Ckآw6#xN._KIgx͚M=vvg8sâVIԳ. NڹTH0$f'|O䍴kw|ƺ; J@'Щ*.8[ri;Wۭ-~||. ɳ@f]:Qޙ[ nBikحle(;U 8?2z-W.]h]}w59aGJ<6]껯Vku,+]$hn i]Y]8z}!Ftyb)(@/.tVOpactdܿ}cO-۔y[/13S$gj4EkA;'سU^x7_.ky:z1ʧݩvx30rT{S8p69r~Vm[]7_#DBiIv;חn//[eooKP!e^zv۸jNeto@XB'V%LH;%8%ۃ׳_-LmL2-#x^6Oq$_]νumlEՅ6 rW_݌ktf6+SM bṉCSN*Rb'GbϖKڞArAHfSؐ{/kY}б&:ϬQW5SzJ\&뚰D1 ޔ7Ng!l‘`&jqaXMHO;k 8lGJO32! $1 Ht=9!( &ÂY@>J]%Sȉ S!va?}0k }Sv3 ƞg͊S~(Pp *%3N0f:cGʼqԱ. ,^y,%ʈ?'ނK{|)E0f7lnw5%l 6Sm,'y|m4 kTde!,y>𙤔,YƆ0㚿a5$t+GЀܳ9/rAk4R/U_ro)Va.d62n'2:ψB]A90o'΃otY$<ٓ !5jWc^Yp'2~͆$=3t!oF. T/RN,qCE3>0@FmrP5r _ .^.WAOt[cpi|s:')IY:x_3qbPt)8ACH 9#x2gǸ0~O&!$̏ -|t*}2\1'óS)"ߒ#0'kNGMRP㤛BzM1Dٯ#x9FlÛ =͊ا`dm>~M.Zamg0LYvNWd'X_`4/GexFXRÜ,8x_'أcY`|QI8niUq 2Q> /űExAr웤$cXi- r9y}t-Ɂ126M$@Uw$A7۸2k,2|Xjn'˗ ߽˃O3Q|/ܾ|qii>}}iVN*@Ƴgj>w rN>ljt6>x|_~1G4}Mm?-lIġp׳&G;}7Mh?|UG`Wɤ$R=f"q 2mO]>{XtQŖit4brzr1߲k|65꠾L\aBl|\=wcrO#w ;_oDR[xִ8CF&^Fi'Ql@tcז.GO.ob_IW㇞qBpZ2ګm["8iA 0qY-iU>OFU^xG˗_B(8׌-{v|d̋6{qG[w+B N 78{lF*Fo.UFV:FR2#M0G4VۚO>Nau7sln3Հ3JT9Îc @z%9]?mjkＷ|ǣ͎X&|;8c^xM>-)xjofC]B2wKJx)%. &Rpه:ӝ\#ڌu\R 8R1DPCmu1+k(#61 @-YX@}׍Ë ` z̶3D ĩf&K< 5q$ߙ[૿j 6Mw A7F!#bZ0vi]r7l&dN{P1U3ƺ50#qX(ct_ũ2q۸3xS4)S9DF)`9ܛe& u ? qgq4;IL}+&8[JAs2@ m9 =?I7CvCۙkfjlogMt|3^Y ]*װO2‚tMK]>44k(Z+L0 J{m\l1B%R'9 Pk_)Rs,aј#L2x0qloF~d,hO=؍Q~&"?*+`=VDɶVIJf|T3{HIp69y> kߕu뗵]kozᩓ|F ֍40IR#ۍ:}&#LYo둦=3|sjt=1_@Ф=};DḰ/ހ3򌞧 qw:0 ,l ~YӦ<cT7 eO hq>gNPO N/ȢK q$R ݞ}^!S_0\7ត{ukɱC 5GV9:OCd=3Ɯ9363&PNzd2ĝhGJnHM(NmfڸO()|%`&7 $- Ʀk+rՄ5fSV{GH,Rw*ԑlcn~&ֳ2ژD^T6D/p8##|tGSdN.\uS0J/uK~_݇q?omƃA͑_=%Yy|`p L޳.nٸV/; #'}\#}al9f=kFn_WI5! NG3W Dz#l՛q <G/ } mLIǕ9gb&QCY宪jc/zW^x>SnנURQYrw_0o>Cčw7j(8 >]8z0;Kk"d*TV1;ܭ냗Y^ q N?G .ht U?o)xK9*,GUN'NG ix/_6T_ȶT:Z?#"wj ?~vkSǏZYaPjԮbi4B=;Y^9{Rvd` ~ac^_FX&RZ'̘"ߜ5}n#|&}-gk3j>}<Ɉ]z6 b_;j/78U5-xJN) h'=39Qc/C_9?\m,WUOSwh~фLլ=~# 1v|z6anU3|6t(hiZU_G xWM+O6g!s[Eo;FRa_U I!%$]G2]@|DQPٿV`C<:*2jkefo9Bݿ|x,#Y'f eQR:-Ά-=-qL9!IFh ̹Wmq%22^fPAdYXgH,cy/OR بt&bfU_!['Px,ov/o}8Yדu+;)@|٫ Dh9i,Adm'v1c3&|Mddqo@CZK֌t9-!JѲ =^ɂN_=j3(sΩc 1kI۫bR9ڜsʦE4v" )Meϊj.إ8oExC[8 S(E'"Cs78t1RAu>D™Ԟq&գՠ so7ק;M<°ʘўqPKM׍)"HI:=sRKf8;tyg=sb8yKN,VF E`^c`Iv5 CňB[4y)+18q[On@7Cɀ5l&]cQK)>1Cq2>J)z%CO0ч+R{9.`鞋sNA\Xxq8z{X44۳(kQM tW`mh!Bءژ1jjOѪ!#7^|F5(7 eMnRgܾ}o9zYqԋּwofi}So}h<~}~,u@rUl^c\DG#/lu)<: u6pZ97[){9L3Of?; ;oΝﾲw/e?a;[t`ReE;wkB[XrIl᦭#]He<9R0kӃdPr.gwtT; \I\Zv1sIɎM"E 06R/>_S{a+'՞W’#n&w~Frpq, "gl'hdEă&pzg'e>Z>Nmhlq) }<Y8~ gDddEAv$R%w^İDoӳ}H(Lj}#hJ &]2 " [uaF>B^Oc$6Dfv(/BB:x5/ufzO #_[fF6㙄Q}Uxgm?BNF?IC@k_݇k`u[s>)W }D`6^c&|[Q;h"cy!\k;r9+̮7&/[ɂb 4}O<O,szdXޏGdhQB]dLf~Y"?`уUh-,* tl]j. if_ DR2rQ  䙻@FOLhj^G hDaHXoUsv#C.z%+te\Gɼj3-/VΧ"JU\.UFYd]t:;eq l<0ƕIG8Ov+ ydFÚhD@dUM,1Q7l<$ @ܝg0G&*8v q:U,Dsd3 +,z td3/8[ (>JWhKJ5 pA_8w4!%]i<*SkCZ}T_Q-C*`{Gza6>т*Yߗ>|z4{TwOЛ'\'ABG>M͜nW5@7N1ן7"S'}\@7A6553o=݁pîc 2j덮c=zy|rˣ nݸr*vߺa30Pيb ƙ֌&J m]a`wZF[?d.:fpM}́vLڡ>Vc<3^|ھ|:^[;U5}whVKz5]_ǑS߼ ,A)ާ`3E ,e\`~Nѝw9?x~^->cGA뵜z$7uop+:f`(80WaX,Ӹ|jƤ+CGr>ّ)m_>-)"^y-魀Ja\YyVh gDYԴM R m'~7D2Xz_V \:O߃`ևNُhdQ6쥻6^^^}Ҟz UȱS3qX ˯4Ώ./N'SM[M(l c*L^ɖxSs*у|啛ڑ<`kCGc{[vv"vyvO?6d>Fŏнj'Q{LY 'b@IDATj4lm963BW"3A’n=[;kYe~<`qޛp}Zt?8w]G?^||aO<,ꔣxooJ/GKXf:5 l:L,`^Ϝ՘5DhޑEX~Kχx-h"<ΧJlLC-}&gDMBԋf5g66O;GD Ѷú]^(X}HPM!r5+u iwMHe<,F@j_wZQc7Yjg*Iyww9A?WJg4MjoyI̳VьMʖOP4UpOa6B 1:[F{"x(,q^h"g׋h8p4ȭF4 Rcsʋ9bg??(Tc\Ԥzc5# [`@A5ke+cES PO뾾5yI0Z QŌS_ *J pf >q Qlg.53kV8yI_ϐ_+v Bg6ͣEճ P,-׋ E1D n'#kp3 /Mឳ:k\8 fD!q˸{FE/h)pR_{ݧǘ ѐTx(jN;!c5N(ft@t?f:{4ĻD Iq)2<}{ rK8Αߗl#@sR ;VP)QlCr:VmR"hV+,lN @PPpP7w Љ'z`tRoUy*^(~ϲ8dgq dI4/Pڹ^ze*\79ݚ;{ЂoN4W&3C81gdʼ,gtȘ鞣LsH -oƩib xٓ] F }ŭW]m~ !T{_CrdVϱ<=0 :AfJWe4DtM"d.%%w8J)`^ pBQQ0$zf6 UIW*&t[d ʹ3c7@WmwµG=e+zz F_?&gH`v|B4V\?Xv_ݏU0p^,k)i6&IYHH`jo{qeHߨ x+;l_/_3uЊ-Vس''Fv䓌L2n?[o\ ᴬ-~|cp _.Ȣc J|S?8,pD;Ui=2fdpgcUg'l|98cȲIf+A{`u0Fo, h[i䱎K>od>بEsZw@~|h/|gƐO~ğьmov{o zR??.ik,nX2I4yB?[eQMgZ*zcYe1ƕy"e} 2Keu"w}b[K8h 2F0b{_"IV[&Bb\mE`t N^Pl4NGpnlqvvoV◳#t&ԤeEn^`3jZY-؜d̑k "1pz\}G+ZE?W??|Qr!` )O>ĩċڀWa`7Fu#ɟ8efnٟnGLmcFhҤ)ұ@^n!ŋ~gRR ;ʁ`)5{A4u:)Ga4TY7 l!!\D~g߈6g-kEAPT .B%JPD4a{2PM@N)DA@QpH@oL=7R i\Pv^̀Ý>Đ+1`a}QsUs7 &gH%3_tsΝg(J f߬i'ػ:ohsVdO\>wحĜ]˨YfXHCA@V ^ cJkNÊZ4gvy]GLZ!0&&h P6VzΝ>7ոDQKasa*aG1d>5.@`It]ѕء) 9IV+%&;G݊+ |ƣߓ݌q:C<j>1\/M͈HyއЕ"2y{M9cZ4|_q̠z ~E=|OpjVL;n-\6Vi[ ߐEsd'äƣhTx o} wHYa0,S0V7J/Y?)VgYFXf{`&3xL94D 16U9|=+it/ONWoΖ~׸t`=ּ1JHGWkWSC 1i*>7}4ڊ)"Qr?ǐ4|; ˶ }vZ+49!"E.0'p>lԡ"a-:/3O|y.(]>#8z|з=V޻ͽqzf_]?ާ/PhC}nv]Z4P72 =A1p8Fp\4N8qu4k]OW0Pdcɋ{HὌ֓o|/dף>:>Rh < 7p0?<U p p¿ʼj)hgderRA*ǚ9͂y q,P(vtqv|)@o=xs/t~xa>}KSwGV݅ j[;7]C>uOnx># nG;#ł?}Z&RF{߹-n+dn $G[Cz{nsns5w%5ތY=|x|T|ZE綇yɮ@A!9g=ϱd/Ac=hů?-ࣱil,ҽ]}F7#HwL0q"y׶ 6#-!hdgZl?l 0}b@ \4͙I>&z1ڬ#ëV8δ{qسt@mYծGuM. xdMOPW4'Nδ*ִӎtW_^YE;\wbN{ j^`P b! *EfomQWɲupʽ[LH&e1u`(ջAz|\yq>jټ;p@oʭw+yOrj"O!leE8=Z{ԧ~|?MN6=xk4&,} f!S@o5ihMK2H*v' +& K櫋ESE33uEtwXzLo_h~%zZp$d".Ck&M}ҏڍn㶁3;r ڢgi?*.NN?O_,ӛｻ;/deEc5\N;f >Y/Cl(eMݣYW |@ :r-qcFmNWf g8T!Jad*W2 kR Q8|]R†Ӑ唠 %JDa|X'cz"-;F ZHewLΊ' ui~ϕCB0c5ѽphjqXЯ( YV6B"åns0׏R  p9+VQ?7*7vS)tYs"x5Y"SsLsZ=MZ9Zs$?͠xYi(OH8O݃н@d^RGCJgs2Z\:S̯Y= ؖ}QHW[ V,N@wMGݍ{hPNY [|qT6CFZD俑8Vh$#.L%񽗚hP!a[L ޠ'hГ}=[譵فuqbʍ>pd`}|, 暜ozWyo9 = 7oO|IN]Vpr|jx~az!Z#]Ÿd(=f?xh`UOJW>܆dC}#H8>~QЬ4OQX6iCzx"9>d y^VH})pLVk` d8X9W_}sy/ϖ[0[3~VЛ s ߓȣoLfߧ9?yM{u|Q7U^z=FN,Qq q\@QܹZ;uTeo,w:o9 Rݷlmawvf؂tgᅜkc @&rH c[ KNNMUV8{k,%'OAdl3x] DqCǰ}4'."FSde ~k^{%椫}.py-zVTz4̶~9([˜IsP`jS`*C\lpNrI}|ʽ m ^AG?saoh|I@YbQf^YCd|zɇhK .IVˏMY7^\CC.A?I'+F\G-ga'ler w[؄^RVf8VYi NR%ߎzb+=<2Л2֔Q w(IOnh+m`\\rx8e^auIw46׶Z!'xP{VQj`pcIHq/dA( -ʚ cLq%*^-bI[B]V0e\Rb &35+%pk1):Gh 1p[)j !ɀqJ+葓2ܨ j/is|KCJw}2 C$cL Bg8Hi^""I#iFi/V4N=f(0) `޺x=aW;>#Nd'GA*QЪ6Z ~Q|O &(weZ|EPtJ@gE+V)8 >N<OL_^g)Z6E}eT;2| xϩ'RdsfT,96.6Ұ`/xBqO 61^gspݶ A }O$5f^}1^8RmtjZH%YoNsI>=wOG+#coQ{Mo$LźݗTA It [{ؖ3Ĉhl)/1!q C״ЅWߥ`+Me9̫q3E͂KS3̑ߪMFI/aF,t/O_Yz$0>Ч>̆p7轧cM\-Fr`'<9B0w{Q?MKNdsd/ Ռ|oK^W@'Suz4p]Gaj#Ա:úHϘS,l5ftٲwtgǟymaC[i??Ը/{92 w#eXN Yn'6]չY6j#[q)@y+0 g]Ezg N.XhDLۍH$4XzZ=&bm9ɯz[5ӵ.NAB_mrg'<nyo>ce8.ezv޲o%V7ږڝlQG}MG1?* 鰭COҹ t,2+yɦG=ypaw+{Q8_䬹/o{ha'Hke n7YE+ dbvkn`HIKx蓄Ì}{+)wCkv k,А~~Ȑ7^{}?fz?~oglc4g-[ ρ&ƑI;3g)om'&Xgp $$9:a0 XFO É67;=|]"JŔt/7=Xϖ~PqY0 Jςt:| 65gʟ)%zvNyo7IHrerٟ-?E.>_~v޳Y}lʇCr- Կ'wdeUvNW8:hN*Ͷ4bh%Lij5:7Aax@pm10BO0fWl76VxPm${:8FuBcNJT#qv^jW@eD~4_OFJc=,o.?xLyOnF E㋼۵'Ym_,|u6c&p ~جdgfqߺ_6ws04Al}0L&Y A9.:D)@hr>>c:87#n(Xf/b"$CwM8PoߎÐ*`~(vLn)at(b{o3`<\ ]>1=G"àE f$e}zVVj9cQH\0ens:8KY{.O[S:2ԯ!Y-ERhfj Pü)Qu{ fK/@P<z_s@Vȋbڏ/&Zֱ \,& RS7323M!XEc1p)[y 9iOJ4{8vV 3 *L8Q 3*FbטQ՘Y䜡| _3zd3Xϖ.{7х,LjOA8l`EQZ ˊt~w=قN<M]#SLq '0 )gbbV{N -6ַyNJ##-W`s g 䂽րo#gl_oxωٟqT0g?O]ɇy[ӌ$h{ ['*D ~Xc4ޗ2tT/j( ̈/3m6 (ut{d ]n._Yx}D 1Ek4}G >HQ 8xpp6CAWhR#p"@iQAw#/]ř/jSʷʣ&xɜh0ƿ^q^ ݇,y='{g `Awk$hxJVvI8M%Tw~ه[7O?3Km%NJ6eN/#q4'OǝfYV}xR/~+v 8Ъ:$ x̥W_}9Yn <&V_Vqir.ڌVSJB5ȊS@~%,],}-xe6`fNBZXmػ~Z1dF܄b Q3{^lZ~z~ޜ# R$yBbE[ ~9\ۢE 0ZIQJ{=e# `hЈaUem7!aN!*$TW(gGF9d5޾ȺkGy̾iK2+cɘjw=g^ @K:}ҠqqFKѬi}̀cĴ#;{jÁHy.Ǒtu`Xq鹆~@28ZkWk㴕V XGD) m0He1?TGI,aۥiЧ k67j".(;pHϘ*9 \JlT8ٌaz}8~z'Bc+ǑsswA)XORёYJS%.:#4E 4(߬lK":CࡴvPHxܽ{q2|"g(kCm$V'_b!A"aULFE/Qbڎ!z<|܄:?O+ f>Cg;UH=gzk2KQp"9F^:s/&fPNVEᑑ%U߶2`:)VXGªZ5ʼ}\`e ˑ9g[,tMhuAifZ9KN07x։84L׎} &XO:£~e ^Gȹh"'uRN߳"TaY'-@$dxͷ =353,q.Ӟ agh# ,q?`lf Wd}Naҳpv&k|^C[:6!lV{VUjg6F6s\s>|HcA+ _Gx^W'/ZJ^A|RdEXk@IIgzT@FC-#+34O 9cіS#eQ \c)30&kҟ,2+/lmN8)o([Tv-cl] >lfS># 1CӐLؽʯ}hrW?f q}ώF ]2滶&&[ F[O^ME3͗kpj4Or~[+`՞^el$܏z }9⫬iy\wON13$Op%1>Y -IWm~r 0W=c?(md"z]2S J6kG?)z+~y>ʔjL-%vAvϿ}D:7n:24پs&p]3rg焁8,]iS1Zmvz姝&qνV9` =M5|迶o>{}5!R}4uv`9C?:X^}4ȎĄs~{" 'ACg(ٸX7"Vӟ-bh_{k9ԏ.xsy}{ySlr*;MlAqR Er|[]&"W‹{kiG]|<{=ty{Uܺnmu{n+ƣ￪YY17g 86)#ɷh): і;&Sݔn<|us6wt7?6'nߕ~ڪxSj?'kGgѼw d&J㛝kߖq|ϗoW;OݻQAwH.GJO|-ö"]6/B*]h ȈGP.7?`{{MyOsD bƜ KQ J1{>GiVN{\83pCl36<=l BnU.IAO=߈@> a[ Ry4 C  ]xd2 LFq,Hp\z100AtF[FqBݗar285 8nǹsxW>iYo 0EMD0٬X@s7~i81g [zpp{5vv\0[[+`nca»7Fjg3!.Z9g2zV9*YHs[`EDS[vs(RotNNY]78 S񟹖գ-hțƨe4FHxr{G<釨fPvVtp%~z~|beK*qVa'+eF65&F-]a01D;,xj4~3)/yTQ}]ᾦ6(̖cXsC"tf6/YM_rsR"d9FɎÌ)@݂ڍp/gTy)&V3}A~WzL!sog8ݪz&|ҳV:FS1@bFGV{"v( ~Zg^gwxnKӲI 7cd`($6iTv z12 r PҀƝ0rskԶg2^cEk1NDI왽ڤc1@CVLJ;570LaBY}׬f\%{ւ gnhll; jEcpa6#)zֿ92E03эחy"8my'Mک~||bG\nLcgO{g~}F83>}E[qA/$kv!8uߧU9 ~ƞrxqFL~cg]ls`&C+G~"aEU(p 영5d -%CҾQ@Γeaޯwl8:9=)T $^f8jr~G GS|v ^N;|;MɳxhrkR'`:A}pCQ쉿wNFո9Bk Vmns4׾ޑtw슛K~?0{593\^&%#=6Wg8P9Nj9D8o>5a[={kez1{>#dl_W Ynbi= 8M3Ib|.;*j=TQ7ӓ[n`ѣtKL7;uƟӇ+P`98; "x>o$YV { :<;ɷ_~sُt{t3 l7t8F.w'z=KM珌?Vrcl؏6IIp I"ZJ+Ub6 mV jaU2aa6x3hPĦS>CV>}'Rl 415*a1n`L3ʡf6*?t`La$flI3/r2CFH!3i7jO#p|zW6T'm jlf=L$[Љ`?^;_+E:՘ʚ|27Z6t{aoݾQ*CK!Þ щͺUI%Ca;T}"}l`k U41^gL_㈎s6tp ϣjG z5CPHi='ؤ+9jA@& #|&W.I%ٿ:ލ9_` G5!S H׋쀑1(9 ?{zuSގfEr(Ŷa XAYGf U`,Ns@IDATSm]sϊ:^Zk$;KwS6x+m3 {#**6/}BW}A?:D뛫jd@q\촮YX4҇\2Ǖ1V{nf=?AVcZZiѺCA2YxW_XGO&{L5-"6ST;ҔY!?Yx CsW_u7,׳NW ޹_;˷<`kG;͂QY+p1 t[VKsM3#7%&E Rz 4+i%ӓ';[m!ͻ˽-7Y(B}: H?ۖ1СlgIG louǘ>wXiWԁ*k9]g7^|O;W_^זU`yo+F7h,(SQY%+?e׿\?_^}+gaY6Qk!Mg'NdIէۑƵGn'&wjnm(+M{n wy|n4e%_WZ#7ɨJ qm(i x@"{#XDMv8LI0o Dp9u4e,BfRqa˄=-糽Tm&OH,׭IA?ɂɱ  {+ʿHu#$uwGF2}.dD -̯z=|^xaCOb5D9.n3nC+,)_Eg|o=ܳ1d`bƜklx'ĸJr8paXuvD[TJq ,!91~m3qJljj\s|_/s(&\Ρ܆>x8O`X"Y o#a "{R_Y7.(`4[|ȩ nz6VK e긹G*JٳZ0l;K{VZ d>)3-MU1G Cd 2374g=oZE7G _iI X64tjۜ")[:ɇ_0(4n}^J)b3T 8V s1֯tu,k3| m r~߬"NePu,Kc`IEAI`c{όx{ uʘ_/bH|B+:JVX̭y]e0"ʓr kNL?5V8PNBjQSof".ctuVGÉ7T+@̙$Lɍ}>g͛T 5 Xde¸C#;!thqI4\(H8ۚ=HJda00κv~JjΗ|^?҅юAorTw Oql\'j+1dc0gHQ gug}CoNmrz" ?1% 1|d`YȂh)#7}&87u4m#GDC=ct#AN4/~/k/|6jm$dw1Ԣ f'jþRE;Ee>HR: 2Q& clG#ZJt1LxdK;>?w:2aVpFpFvhÖ}]dӠIx&j lS2ܬt2NְVdN>8pXz>0f<&dZ; ekq=.Z7E.Z'{_1\ 4u͹ao71s3CdGHb?;C7KA yђkCr/#>ȜjSqJjMq{ (<8c4 Z'=81̝cDfg/ɬ&ҧm؃p@qitt2S%Y+'Z{+:6"-;=96UO|ݮUuZ,}9OYCkX A,{K7x׾ +06G7O#zE5m䂧o㭭(tbjsqOp{Ώ9Zϊ`v_r=\0_kmE>@aη 2,a АCmmO?\^~'˃cVI`4/VQ0Yh8@m7`{v=w̸gm1Lyn|;I7yvvf6z9:9^t| ٨hf bw+Ty,$랣c[ Z g'շHFG|Z/ݾϽD/[笓o'XwMvp8nq2!#PWLl# ?NN*|&˩w͂-d+žcE?HY %-KY|fea3ׅ>e-Â1} vRxeR[W ^ˍ|~YFC&ӢU!dkQh7Y|\G]rZ^|<|V/A= sC e9fXah#8e󩣚N:r& g G߱K2+$M d$z6&{&vKE!:z!(#j4An{$Y < (ލQhK /tƠ빳`n myg}5ʣo~r8jiԺ.pzE$Cڧn&m`$8%ݛ(Y`_&}JbΐV8V2wv+o!|J)߉S85h8W .TC=7"j+p3#Qu6X [s"V9H7HFa4V"OrДYD`gû*ޝ`(xeݣu)\GE`oS> ׽@/|a PEf1JK!&hQ[ ̋LGx<'䆌Xp8:o|6VmqNfPU1M:B:{oNWh%Ԟ|Bc{Rp q"DDÓm5,!+l]MUk=%9J\Ab ryIެ6R]Etc([HUկ L3ˣ{}¼ >M@Mx$7)r:?\ ύZeiT6sIӶQe"}@mꀤs'QI mʖ 6frzƀnBެV'^C ~ v?M..l!'Żs@ѰD'+c>f^{wOÊ6t2њR?D,G_ w9HX FQ|ZAGשppvwv &',اpG JWA͚lzwm];n-˿oKg9b7H'tJλd*j'H25N2H;}|h@Y9q+Z5kS/aQ^WոY6'kpFpZ[ۭvckavx[LI=Mjk>mup#0>hQ*JiP ƞ9)HW/3VP5HQ+Y{o,wr?J+OC eqe @&F g٧!]Ϯ.'۪0EYEQȋ|øgܑk;yC8: 4,Q?ht INyN+=& , >엑, {dhN,jM<G!| -h3 /a$0׏߄L F5M6aW6oD0DFyA;LFY68G'JN"roވ֨OvmbIU+PuB `'%=$.X%O73]v&/8Y^QC8 n " 7,X_`"`D<$4q+ x؞sB4fD e*Hk 1j>[A̦}XƼH*ah֞G)4+[{Ӿ֪23'Qb`p(gA~-x #2P*sUt82afϳIU sCCVl"VG rԆ͙⛯W '^ ~w v}|06Z/ݨxl ޿~]VNxpBse䡳}'G t"Xp%Hn߹S!#t4'͉jQE)t'-Z )х7їqڛ(BcVmNZ98 8OX*+c2!]4W9qһ'jp;sVƑ/߹=XqbG}Jq=LCowe AK8sV&=<`DJQ5gfUX@""wT:'>=,P>^ =+[/z-4Fe,jsま t;6<gN1^<[OhF'Z A?Z`KiaREChWww!um'jM5[oo IHe#5v9.ŪiۇU7zssVDG/kYDWmh0GO?OF~=,jc)fQ+dc{o.?; L( fۇ237D&XDGrw 4SAM2 M:="04sHZM}w~6gP3Xlf6lhA mwk[v}۷uoXEH5ȶ˴c'0;$_#y@` ؖmY=EHVUuwƺ2qvչ{ךǘcO2D_Vq ߩfVc\OP `Ŭ:)M -]}Oo1(>xAa3G­t78Kt<˃d}W`dԻ~'AYG줂U+Nplmx<Nr{G 8Us(\ov;r ,|Itբ2+[n`8_edM֠ BJ>١nH*fcWn^ :=0rr aAt}%\Q!g9l Kp=C(0=C`WN'%iB(Te?J:BZ=*SdJDX{bΠ=+kmbOu1vR?*2F8EmYpc} G1&3] Gd6x@JqQ5soƄt} AʇyZp6u]!mtqf6vNGmsc-5x\AƯ0 !T*l 'J5)qFgPؿ݃8]**v6ptA;Bz^D(]_u45Af~V9E>ۥ1C3Z;SC^pNEOꍳ}9K-_ 1,cӇ 6 `/ a ]*QUU{ f?Z{^Q5+Y10seyڝ=^@Oj_1ثW7VD 6[u?W?o, y*7]sFY.'^i ps~jmN .0V 0B)5CE?Z0f3M1UЎ֧ ]N̪rf)il^ۖs[ .^0b=Op08UU94;"Hx9Z&.Vj8mk!@oYe934 q< #Qs/wڿlW'sefvޭ7'$xu㟱!?hM[P8׃1zÈ~/^>}$'<,Y|ָ~rLMA'Zh -0 811>,sᔁj!pTZ=gt:2o[ѡy%~7}IL;[(֞Y-M~?h[ևjwf듉:7ƹ.H𢏣y,"I6%?Cq0~7=y 5k؋Ȩ̥pD &ןUxZ~0?&_1?u >+=l,m8Q=+i#;@j[.WPbҍWPlK2K@A,u'3彻嗪GVv̜tk˛'X~+ۦhV'gZ?+4߸xDwU(NSN;=IoY+yW_˿w8]{E .~߿FGޮlBi!ʝs7QvDX- U29 m(?.\`lW*:ֻe_d ,gu2Zkؽ~ح&ҿQO1ed,[q(a+o/ov[ ;󯖯11d]$^"w^MoᮣiI}GG4 [LAaZ jCEɍY\kBUz\6Hj_Ě'Cq"Ber(q<"@ H7V.TLwW)Lεciw5l0uQ;Ho'X]wƪ+ziGT_mpj CrKpb3Wl7n}d]7k :ɮ9!}*@iƘUh0.;vHvԥc^q\>iYE~c Lɘ\i+/iQI=n~q@kg)ѽ9di\T柭]_ 84S4@rh)7W3d=o!?8&ckJߓ&j;$HMac4Qфʨ?A/7s TO`1CQ̸ 6S@.G [m R _m [4Tl@n埞ASCck\Joq[?OF!> '4^tP|MЅ7|ƫ}nrA)4Y~Y+PE$ҍ2ET`]Kolo]eR!,,)\ɐ]jnvas,%opNbYtxP\ɮkۚ7`##( X)9 ?"ؾhf`)L?p,sd}g3aVxqibLv`i{ֈ{!JcpiΞwY?(t{v Sr홿H6/5վl:ENVh ((vQ'齩5zY(k=x؞_ϠuG~>\ņ4rwhN02A_89سV(OOfvjE)@%Ǘ(Ff Fډ9|k}6VVg5^EV5aE k^A+}їoټ,?h%u]ID( g8fMFGN@GX[[pf D Aߟ3ӡkAjj&:-*)Ҭ-h|^8z#y'#7~my]$n{~w?{p#';Qڿ~+ɧ N҃A6q!m.pǩUhW{k'zg+#rY!Kl%UȉP}~]`~E[z/~[9#lX7oO?jw^+ l'oEWp5Ϻ8IDuD'ml$SۺY8ܐ<6[8)힃u1Xatq}/ßxw߼t'g-e'2> p%KwD5v-2<)O?ɧ\eꈕhdzEp/9o1V *([byDϷW~mϟ|.{^0Lw϶8䊕sgkX4¾l7Pغ/Z7 C K=N߶jbD2pDngRJtǐL 14(Ձp&0e|LekWTskN" ÑC9r564J?]}Ŗ=.e`1ub0 (>b)U~s fTx(F\1dηdNv~wp10&Hw YL ho-X"MDC̈́sx珥T T=+E7 Y;KshH-~ o˅>8Քb=G4fFk7Mk8t}% ɀ^$ᅦQԻD]쁞0$26Ǜ?nLӊ2 aM?]R;cL4>B}n7xߓ8c])*>$@C=!Sç1bk_EW:hk+X \bC0t$D}_)cQiFe ж * &p,h8D1eMr4Hw\X̵]e8&8ؼ_+sZs~k4K4;^=l\r5-VWhڪF| ?w" d^c{V/F-? ^sf۶ϜHNE(GlV 5[l)V}d^*U㶛tGitnYSM h3}GW͕<X"){mQJꗼs1n~SF;.5ᵯ,Y![Okg|lc倧7}穂Y=ӗU> ggQ^d80*ɜ(w20U q>hS٢CDvW,^՝tYHx߭d7` shyp ^iUp‰a}gn #\+< @7)}g]m#XC=_BKCo56Xp kX6QI^<ȓsM U$&#u3'&ϋ@=btu-I{P1Qgx K6-eds6'Ed,tAESQ65mL##dh4P-Öa"3n9}L@QwrL'.4.sjtF׃10GЅd?޿G*{b0Xm#W V+J,#RmaLJpQJs- U& 2€0#b7Rl0 6FY0` 816y}B)@g]&Nk  E),>Y^Q)aAsR=k7yplQA8P"gVnb?!{;HKƫ`Bymd\ ~OZϱܜ`*>3#eZnߙ[xxl_xgw@Us{VZu>ެ1jc\1'c̻<Xx+ 紱*hF51 Ob#3^FvW5XOP3B_{ O:-%l|ւ! 0mOEI^[at90-DhY7>"msN0rm0'h@5'V"+dX1>ܻڱ<+dPě<@cx͖h|eq(̀iQtx%0G[ge0{*w_ٍƍBtjKrf+/;Zø[E9t+~gD.A kpj9l[n7%E|;Y28l^ 3x-fzpV.s(]C8e;QԵYu  8PXB`ˠC̎om3/r =1~s7H8t`" V6~ YIOK3nԫgF "͵1g>Ϝ lS;S`= ZEذVZ4Ǹ0b'w',dxq?7)SskOm%5i>[g5fhm +@x͵p3vBc՝Lf=C~C3<7 l̿Fwp7Td 6w@U{ӾvTodV˙mkI,ju$%m"Ԟv z1kfAW3btmmVۧ\B,FK̥x`w|ȍd`7ZxrmQy|.qRpc O qxЊcP-1GAkxLݬ2c_vS;STyԞ/|/_0y?Xz'Pd#^+ƊU}GzpǎEV3O 0:6毈š{#cAl:^q4COCQ3ONӂa[ͽrg?K'sf~̧}6~Wkя~WRCy&|hye'g|TtJ%|m֏MfQ[9IQ-q$3Z9ɟa6yӼޘÜN h[y{%ikqۣ,UvRNlWey7;<{}~r׽M͎WTy/>ܮ^P'2ONu'0$qϖ'Z.z,2|`qRqmHY,e4 #ێyLUq-@pQ<NP66F@9q{j&!~!cBMu7kצwmmooSHMy'lj6«+tL LEvaIqz{^J=2(N@5J(_30< 癕#B΄҅AAzffT>3cn5_Gl+m]@5Ѥ:SLXWjBk'd2]1ZBι>6nmRlJmyX9K`Oޞy΍wń/ L)w¢(fD2[YaPES0r+4H Sdd4ؓ`r"Ÿ}*p"LKSV 'a<ùGdv 0~PNdts¤SEu@^=19Y3:TNZy0|T 1FSy3E!f@IDATNVh #(s=b_PXNGs'W[ +m^=-ZrA*/tá* <&s|6' 8z~"^<F@ќ [ZZ ~!H5a 5sjFw}~ 'EXÃ5Vt+7fi'.fB3d/5IVy`Q`C jk*[aoKf/o%O ~ Ëbs_g0x,}gU| W  4 6DJ"),ɔR{N%B(;긣;{-z~e%pm 4 F@ f4V,N;Cd ;@4{;##hK͛QNF8OmE p|RlսV tՐi040ƶ^f;I@jDh\k Ud4 SEhZ+1<͍ht^z~t%sI4"oOFYZdP?򭦇*:Wu_Զy :_??t?T[q5ZN>6izdP.f&b^injFF<ߘ碑sO7M' n$im rlp*nV@]^M_rsh]ќ(+{d#a9 42ß/}WhMjUh#jKLK2\V!fetdⷧ9 9=|gNؑ<'P|ClSOݨ{Ｗܑj^QfAk]&ܣű5ڋ`7:i訧d ^Z"F+'SzGxdqzn M&83u]CYäq{vNb! ~Yv٣b-hw1Ɔ>pm }eG# Jǫ~}<⫲ [U|q̲3z͊ g>q-%d|$8U3+ ׊>5e<.رzP%Skr߃c/] {5^|.'r6n/҉DAZ*,<ܟZV[0(c"oA6yƻ|V\U3b`}Ѯ)~>O*+!>+}5fk/w A 4 =^5W ;/wT/>X|;4z8jaR;$6( )89zwEΛέV&g-쵝f?ŭ"qGx{9:/}םd}ߴ~]붭{?SxY\K?z /CpFj!?8`L_=2_8NP >Rk[P5hCP3MR tsYܤ3ױT),f\|GL2ފF RڬROzx친ޅkSMsͪLC+ܢdqg LQYV7Re2%2 Bqzahs4D] 8$}iQa5rvae\fq".³b`YJ:6F1cJ G4}r2/G\`v9:)ލhpmL8]ySf4c\QL=?8)ݶ1 h=qơڹ(gsVuY_=wNtQE{zz1NìƷ:!2KaVk] ܵBH6FxMF 8r) |Sz[WhݡY0`7!ӼN`&(M{fgV=peP o["|{z=3&JsEb챋KiDZ{fU ^cH#oUEf\\mVmoGӏAqE.zc|{JNK}Lv*=~e|E)xOQI7!G[ ^8Ա1\? \upv +݃, YhgpcCzp#hf@ *w2 Dh t!U&I+_s 8dHN}ah[Oq$@lp#gX&gK[8R׆xpƞs]!h2҂II.M1M6x¸Қqmד^(9}L+`EOLEkqq[pGqɍEpw5^`96mmr8݅fc^5֍pBvqE0^Ϳwo}[fsERd ~۝N6"\>cOxdAScVȕM]ъ2=r3;߯'r%ԎNkfAs:-nϱyR'}P2xOͱd*\;4tXA?~Qع Z[aAVznN{r` M4Oڊ.+X̥#. wߠ ;jPps{uǽdn}>URۤ&RSn:tLLXGxa&c&x>N6C}7g`odvx0"oB[3|.}xo[9M?`xףۘ?N(O;x߽jY>*bWￆM}HaȣQBv1sY2%Rk~i?lqdǫrfc, /jq2>4y+A2v^b@<(pr|6Zx˃ =EUCG>Z>>Xg/G[zom?vl67o.hClٺqo7;,OE8=L[+@`#CWd!x.x5 mȀhdݞB ;B= 0''k)M2wΆ)qO9cm֐~Ʃg "Y L@O ٓki/^PRr<3BgRFz zA0"T7} 5T }b5a]72_=Xz{[S?GE8wIx8xapR ka"ʸa\qE7 ')T0NЦ1x{1ؼ'Rkmᆷ7&+Ng1HQksB~M8 ބLi~ l4N>{+mt>傋h'rX0uB!$K!o؟v6Wiek%eMb$&=SJ |yP SJ}cl52_TM*g:b7% hC׌E~ЪX2!  ޢ%y,;J y\Sv66l379ȇ9\2+D-*|EɊ;M>=W{2[%s dWE_9^zWqj[[HGE2e# ׶n$%GɲB+"Oǜѻ1k,<'gȹھ(ba2xJ]!_!Fۮgl]<6oz{wg?_?YZ\6jw#SÕ )fRN8)>wܯ,8mb9l<{eUbK%smŻ #O,V޾Sm84_~? ]@>g`OVm\֟t7_]˷q:L8;;A/.AC>*ϞA7w+G7g?bg7g3'*xm'Eͤ|rח??;wkmU- ,s#I9kgs&eᳯ7o鵞o({0󂿻qj sy)yN9Qo1U-~,7Egڇ pOVc*{XI ™ _ w (bdAדlD[1;(YFMZ"WB,3)R9G"3&3<{`uuceg"nCyjO1'f0Cg@+DԜrF<0)qE1›vTo^S 8= ;+iO 9185Qg/__|9CO !ÛhUh/f |ܳu+x?i"ahV12M~x[x%\NHKp-gp_9V-{ [ŜCgޛ%4):nW~ z[ShD߬6V:a.G?pQ`A0`a4+kpl?Fy0Wzs2RH;xvthp"Mp>l_j\W^Y? GN]"c$)@NʡfUf=/Ax},grj'9zPAԼ|Tpx8`1 pya}ҿ( ZD`OoM서_%P{=/KB y0ΙvQ(9Ex*c+UjEz^\3[-4H} ܃e\-2} QN;}G~y%NY4 ϫ!rTGǑK|99ļѶHNj/mW |Ūe`u.[tQ5!8h󧍧`l[!`"<3@ͶST }q}QDGOǟEFէ #s+l؈"{uJid/z^D1L9?]CwY~/ekk〣eH{s˪Ժ@€kĤˈ4:+/q'FF3Ca}*835.jVݤ<8-gaֶ\ci1ű_ j}q$ʔY+b;Z} .h̞nLV9;ZȮxfoЎSfTl!*t;nFF*.6p}]=arIk3/yR XrFmTbrB 1Kdv̛)2; ńd PؚWT~)8X#R3/gyj4߮v `1"ӓP2ahNŚM`81n9I2}mPPKKhpt"J*Kx,*f! iԷ )xU,1c6Y 瑁@p=Zٜ }o? wy;t3P8?~}qdHӀV{^L4ڬ&<tD,Ojl!@XKnXsAS1~6[jض HOCR֯ #0g[ G& 1m&nvtSI43_>瀑"muc a($ey-^!!ӂLj#0d|BekA(?1kV y Y CK53phn~1'8 \wG)>]dF2vR9&5Fvq48k|W[1Gh!|PfH &ZLEҍ*jF^cTY=݌l22BQ>+s0q)ɲ&qYFF_~Uօ$ŠOa}n| ~VwKYɞ9*4< {z[ph!?X:z8PF^/G&<,Z]-Zkttpr7'QCߧW};Q[.9k@l<uc`BmSVڤ2  KÞEɎU/?i[ Wڗ*E\_4FI!^;_5|ӗjd@S)5uܸ>V8*揾w,oWg}ݞ*>tZqߞ/%R&Ɉcz_I~yaM]>P9&m ޶I=xbOo<0AYmq: ̀9u->2d^)pcmZ[tSӜɆ['s4| /8_[漏oxpCE2?^Yk9%lo۾LW mNiIގ68Y}P]/{)j``3N[Q'O;t?͎ R~ˎ}w_le 6;yf]~Nk|vT "s)0Q[}l*FOX)Ѣ`G.~<Iѣ{\_t[w|)EW BU|J?4ƚc:_,?Ӈ |;lK+;QDbk@n>/IۓO>jW_-oQF7Y9 ٯ`ol),\e=Goݎ,~c[ }tb]F,O۾rYl?OZ~wUW\?ʖR)ůk,>{|'Ty,y >9jst3C(L9+%`mDʱ43l(!L#i+,ETqD138RH W9g>4ʱ~ PXqUfAbG_aFcQN᭡aXmߺQ*Oc9`Ec melPU/mx G]=T=c3Fpw4ڤωZ-\a~ȞYaSmW?NE8wȀ"⵫-p5Ze4<}Va7 ],2I qЄUfS'3]fƱc.wNm@hbVKϝwf~7_oq})z@EO#|ӖYa ح^W3lGվROJtpgTLâN}Z9ːLq6j359]g =fh\;L+ X`~}J%ϤᾠAHs+18l,2ulYH^9^F/j.XP;qweh'=>Wquyޭ<o{ 0R"%s-4BZ㊮:"[3 978 KS5:tg ^ً|視3rŷu~M7=}>!\;ﱲ&x'07&+g+Ip ˰E`sf3>:$}737>}ڌ> xeӮ|&g/˫|s=~i+Qw"(GB|{"piSyL&drB^*ӣ3'' Gǭ]-΅ ɛ(lƬP8F+XL|vFq2yS 3١G:Ab3## GWvW8 <3W.gyhS[/Ϋ{ݿo-.W^t6S=knv67-?xvKLN ]<[y!Jyr\OHOnd /j|%,e܋>n.ճk;oPGRḪDyOi/ sLwD ,kUO] Fg292>ܼѺF˓ʝ8>d\n=O2: $v_ح#k,y.Ű_}N`y?_f=*_pZ/FDt>WPY:qjk2~T6W㤠Ƶ˭7.7yv,$;)wޏdzVewfv-;7|OyOǶà72BL+=Z?;! 5P {X iycέ>Ŵy Kq2ŧ&8䆴^}=8:b1PpsM [Z'a =yakd|MN4}jUbr(Ta^ͽb1.uΒ=dڣ$bLQ>N\DS$S~dSn̪\"gE@''z d#MP sUی7lwH[unʝW/eHYrv KJ z*؄%(>/"GV@Ei`zV߱!τmq.&x/x V:4aXa#8rS:t^ߜ̩kc9;FH?Cid*K*™NC+:\9}18v /m ^ t%;f`7[ &1b߹g P 6Uv}Ό  d4RM]'4={w2%2dsɁ9ǫ$)]w߯X1aV׌& ~'թ<+>LHNpJYn1ᳬs˛]mn~@gwrfs:*3 }0+e 00}Ny=$Ip4RwPnhHOiO= G1 NX7{dc}ԧOPI d3w44Jy'9Ӟ@> R.i~_7 6ﾍ^,9 scΟNM6&Wmh/+\lbȈ8ǻO~g,\b%o<9{FAܲT Eh>t8yuNJzr e{[lE3XвyzL?_:q1II68dܥa a d'Of92NJ-9a`.Dp̭ />i: /qӯF b]jiE[MRӶpMηg/m!`' "F(ugsM.͂ZovT;|$E?' ؂'~G_{.7"uxggf8:+?o,oJt8\ڝ*ٿ񇟬vCl=È] ׅiOVlE]F X2[ @ΞibӗUtGHⱳvsh|XO:ךc`]6P]L F\=\^*Nb3 =lpfQǍ@{Rv Nmng7ol߫,7 _GՊK` %^?8mK9MZ(MQ2y\)dˣ/>ʼh "I|{N# %ӂMXs[4Ti[[Vt+dWLYvFF q~v 2>nx&f;ւJMw.)X@),aOd o{覱4L)4W2n | B8&ȼ8zTC5(p(IU`t^]W0W'toLjgVH{v T]|QVcsVt`VC@2$G9szUXM8~j)hU,ErcNs3LVS2r$T{vR"s\:2$q*'ĥgol렕'V\n cO3Z ~bDc/{}ͮ(qxRjfpX"(DH5ajt jϹ T웻CCd5/iMV&cn>ǟMGm4'QL14K(ت+jM|[ҥ5S͜ t)PpKI"nTޭc57in^WW|/ |+p=(e q\J3VV 唙d]M G(jDGDpo>M1s8<=2pvRM(žG#Qm1A@JG/O( /9pQ ckX1zpsCE;N-IAgQf _ ?B(JyVq qb +b fv"S$ rbjE ]FwT 5ood U}ONbMS0odAc,YTN'y/2݆22z<[@0,J1R.SFgHIR\˶=m8BQ]TƑ;[*}fЯm(1^{Ol`UUJr^n0[uM`;A1߮yv]g3;1?952#}՛W!:#8; 8[Wmy ,FF^ɱ lj$mvॲ NIVe!`$]lUx %^H"7o+IH%hMնr$%;j4p,y>)ɫaV%9 <ԟQ|¾/O/7yאi^/sv6 odNM?,V-X;Sn3ݪ'~w^??mYl>/X:qhEM< 4l 8kYjS>fɍҼ[~˃/e9j?ϿnNÿ[y;OOe8D˷yc~˥A~'_f-!hϜ|C*3$'ڻӍAUhV]4e6JW@IDAT?^]_~2ǑK$/|l`j;.pi {(]/g^* %>o~Ut5w/Ulsc~W? TmUniYj ~ߪ4O& L6`WlS8ҵwni@PhꕏK9)c"p8,["8x*8Рo@{cnf}sYc X؇#ƙ>,AFTpޑtj)?l"gIS4Y]k((%ڽRo'1z8Gpub20bRœP_Ox$j)i2(Tp"`j&liQ]"< 5p&XhF9Qnz92Ĭ6vJ]|t-P`_}ctRV~jkU.*M]vk,+d*pK'RU<xTULApKӬn̪t 1Fogp V`Oh ȼPIH̪6X?)R Kiq!#fD32r $ RW4ǣ9J%.oun ~FƖ[)@Ƅ'+94NP~]us{Jn5OmnԀtV}֊Qvϕ 6ɼ~5fjOTm/=zd^Q[ܺ\4`+ Zcç0f/O6ϞtuvYs ]]~/ÚqFy*E.\?u 2H g0J{6URttlLCT3/975 j~wz^"tlWYѷl=x.D'ŽkW+v v9<"3z58m739beN Jy COdD<12'c4xS):[n&KD2F*?lsNY!fd5ӎhlk 'd_FM4?GUĜlu]AoٗOn1Ax&PLM5C|asE'ACzFNĘ>*k1AzjQXgW a% Al r}gN6u\EO??Ny`B|]~\isU?Vk`걹G޽hM +'i߻9X¡ ut;x]PX풕x=2mE2~/#ߖq6N|u>xfLl}[YpmCQBZ9W#K%1]f"=5l; \U'ZD'2E ;l/J5-v|u&՜༕U?JnhӏؠVkcPݽh4U%qwsbys53#PH36|"~??n˿SC;3U/vz]_]߽|ˇ?2n(t9%;܎yh_ -xÝ9xa#'HAlx (t̙mhqgˇO{^^%+75|ows&Ni`Llof{:5J4Vt^}+VUsY]UPy%syvv9n"0 X g:rΣN- ` Q+7>qeYk.Wk}Q #ϡlLk5HэՑ,SBv#/ɲ:W w Mÿo,YQ) $Lݵ/~έA-[z}f<9y2|NIQtz2OS K|u|#I櫈訉aLbݱ7[bІѕ4ƣB{,(TM(@{ ŃA/)uz9(a |RAΎ#Ѷ_IYvY"uW%W-:>&}E7C W?WrI x>Jq'j)fb0~Ԏ{A[h7Z=)OH+'M(+O$ހ)Jk-ׂ0VfDDptGAw̔?cGhy&PKAw)-ef>$1 Qf̸v2d2 k\asCfv|JDVJ&/c~"Su<*p\nkϙNfF /^yuQq@8v|PZ]`@%ZajM"%92fig ˒cB*9DK7SG3CI>m6%m,GYH%El(J5#Gff=t*Ulx qΖ5kch r \oDGUK#3|<@:\4Fv8ƹH)(ϣu݋\N*!3?`mk^ِ|)GW|D6ᰃY=;)]fF6C ц3;gr ̸ \wxqs=v9`4ݝQg0cdm/lc?9dPO-"1iTgNߕ'ZݚK1d9ֻxTlC82 vNnpx%y;1Ć;pq|(G2xZ^(٦Xj\98GmO-mjqJq@0'X;.D4t|Nq޲}DC0l*u5+@`4m;k $*6u5?n6Yn@sG2Z?TZ~d뚛$@HiP8 19%'β7Jr=z&:=r=RoUN;]H{jh1Af:+Ke,d#$yإT,A֗Us|B˞6.U(dvU;7b7ûn92-fBgx}6o'wiʘ&K2Iw)|^{3]ϠRjtՇYMP?Rn~t?1~ @wǧ}V7.IqH}MwK/xƯ[xGSu𶁰]x4%M]mI,qL[W0,%?ĩя J=O/wY9 %?Hw׃y39>"o 3% exRhE^qge#w8햰 ~DoW{mXye)X}Iyz CBʞ!ϩ[] FG}W>`}m?7ˣdylvo6wY ?X^?|ٯ6i`y4=&m]D|&j6L'>E C+8C֥~`).'ڬoyg9zQ_?/G|w֯Fu ZԌo|~gQ v$k-قoF,_a`M=O4KmŷT:{-?M,?giA%[UP=?Au Tpa"͢riwZn˾D%ТOC7Y.#,[bDKC tB@7|]җe v=ao8z|"7á3>ev>ikkf_VHĊbYNŗ[ALJ/+Npo\4IQ%y0I @k_.MAic y=|^w]枑Tu&[~44 zxQF>I^9eGE\(sF9E6d%58 [gmfa80~Ys4[0J-$t{[j'RthfP1sT< q`Lpj!~b24vɌRO'ꗃsR }R#bf֓QSIPdSSh,}58 )vN8&l``NJRTGL~#`0fNycn4{ 8n0̊ldQ)U gk3ρS?32]PaK% COKE+pq <oY}t463 }^S v `8+ű:6jsw m;2Iq.gjxH ϣ@zF̔?2îSSCzlx1?JfI4_3'hLkg$~tm<9e~ڎƫ\a'a/h]G?f{4<Nٜ1{rNؠ ir%wټE?x@stq3<2sͥgKsmZ:Ui=5]o&W3''lO_כ$LYYcsvDiG{ Ww?ZǏ~OſX~&z,nܫ'lY#O62~ iG>sT:|^m/FC/-{eR~|;||0<}J^~갪_VQ[* E_Gw<4i8oF6яsLp7?Ʃ5Kv}z/7S ޽n.Oj|i &(lxq8H6^*%VN.8Xڰy#d2s^Uv_; K|d;*Y0eU g-0n `7ꧏFw6O.f0tgUl,9'O&0ɴ HFMLokW<7Z2_B|Ur$7՟__o)6kbI&0uoz+UyRU@goº4ripA8gċM35c_NZ A:0^T NF'͹^q蚙gJlQB䳁.G$C;c ϲ@'#MkR 4'mBbk YC3 } 122ݹr*5khUG@6 a-V*`(:I/~!:R&wdX'V{[s|9icNq2]ɗXX4ǹy((Q׽J@npx{;43X(r:ɕ8}{# fs$[/}5Ϟ*/ôS[ʔ1Uu_o2.r$b7ʬW% B86pZb1;rW+ bO?(5ӟ7+8_ tpق~r$[ ȒOfx _  J1N|==7{c`ƼKvձiJ8$ϕRH Nl6Uh慄gLLVgGWF1T8.ًST1>NxcWsYG "*\&l4 MŃObG/MTN^nb|!ienTBRI?z Z:avAkv&ч*Xov2J=7:" ɗMǔWѽ ̠ݕ(vϺt3]%!/& uffU;8;$fIg7YyZTkԃ>LD8i%X3^kqk̈́&pAV :6*(n`59qQ$5kGvحvM%\HZ@_y鍜"&lI~-x=Kؗj7Cb$$:J$:#4w'DGJWÞ ONV)ufxcڠbLuP~Uf#'>-<1p)p74WȐ ~2>3$kdkmS%k6ĬJOGڋ]o66Ǘ^bRJ?I6uNUo!'|6::)_`5ᵧތܲƴ&&q_ws?KiI#cCR_U7҅6xnɇDpG܈U33X83F FFz 觯!{|p f\<`ꎌ]מ$$ʯIhҌ.fW73>"}'#(f1m{k?2H}zgB'|&n ފo3>oM}oŇ+_0fL%[U%~uO'{@Yn F5쁶TMG.=Rk})_WM6@f/]M׾q^7@?~U3){+>\mUUO;-v%M.k<'Ճ$‘I8U*w7{ PhnHI] E˩d&Q$vfIAKMwڴ3O Ɲr"O* f;OߒZ<U|w?;7fL*H7, /J mi<ﳪ`8l"}~/MRf̽-'/axXjSwg;B;.!-KO$K|:q ?.糖)-} g[_|zA:-ڷ"؄ڕ"Mo L47d}k}9Ih37*=*g=߰R@MӍl$>OD yfl8&GȄaʍAĽ)Qd0O`Bm G9C^s(=pSfy eg.3wl ᙲY`K`6WF|/ ԺnjYYjwKO0K17Z=(hb<4`'*Gv4/ i {{I̙l|Jr.,~8ycRB+yc=Zu# c$י?HUV'|UK$0hyk20`',у#Qq/tQJ_:F~ɔ`PeDLFOվHhie$K$}<,e C>r! َ\n<gO_>B8xg ̈E,g!~dX:1HJyU(U!=tʡ1+IL5 ^dk (3rn~=g dI"FymGx`QVOL@Z]ף483ړ):W^2!YQţF=Ng풍O ٿUszVcUf}v9L^l~dwfg\92!ٜoZnX9U:;`VxcqK*]|ꤓM8FgСg>~̒<"0Y1lL;}EBxpϒ{ͮ5Yݤл$B UG,{A%iPƆ7:̦, /d:87޸oF__$6)ݭ~像< X^$%pڴ4V=xz{Hc⻫z᧿rl/!#Fn {Ro޲yAmWi2MJJ n96$i0W0@/*[׾(N8FmlN0J K?V1|X-{u#(>5V5E<qe2_rL-Gm}_ZQ| llT~Y}3]  6|h|'o,{]vx6؞3 ѳk+8Iwvwry|h2ud<${,@>lٛHB1M\${=^zV5fS coqz+u;lxeIO)u:]711M)<ϙ5AFBV apY9%e&rJJn Y {fLwWW;6a0N7R|.m7qruz_r ncfF6á\ v/ \IyAcjTϬ n,Xc˩7$qĦ001#B}D=Xtv,q8p^Y L.89(УUN0(g[ΜuOH枍Jpr&:ؕ;Wv_5#YSj`&,mx=I}102n|Wm~6Q1y %Kyd:,'I5ilv FS#6OϑfD g8XͬfU[uD&PXbx/eՒd`0Iଯ͌Xd,Au+d6=20]97;R"NԀ59 tTkfA'mAZ>}|MIkf=(5!>j]:4uJ2ģ?k‡,;Zs}ӳNpyM5$- 7zu%KR:@z2pɢ[Gab&NBe gU & atD^Ģd$Zɚ}# א`?Typ?籗 ltͱEHfe{"ƽE>$O7ZƊAn8d9 8+#> wScI.0Zv<~S=>I $qTC͆9Va`G$&$dltZpHP*Uz;3AB=#"ؚ}Q$C~Z`ߋ_gf4"7tÇ^ ̱꼒eϽXz瘢%8xpB[:̑p蔓pZz.| ck-sp&]+@՗w86IӏtTu̙m~kCj/]jACTݠe&Y` =CwI xAOC)&;2=מu&gm=ྺ=4~&xA1IgMώko{X- rT=OgtZU{̣E,-2Zw7?M/ϫ lg |҇ c[zE}˹pP[9_tDKNMKpj@GMKHp~W& S&u/N/}*gG>4/plЦo×g3!fOϚ6T%ﴜ7D_  .%I%bMXn/OOO/- 9OBC[uJv ~b߭%5ifώo|(o賍|۳&Ï `qeGU)iOقl*Bu%}L?Ws;ܔQ=Kp$Ӳx*"Ӳ ='_-yyL>Aam!EKKGb l'CϞ`b[2e qYxF7 4ws]SbpgcY*͆5 k2|o Scl"$v(~#'%G֥ h0ӣ{t5nO5(Q4;Cn\y,GhsʊӷGMU.S\u苑Q 7QGGj}x(qm~JAxS]#!d@ d1SԆKZ6OTKh5|e_UUPhWIIG|le}?eȡq/K,E#X '9uV9cTO 3v4&wA/0|9zYL0kˏ~ kKLZ*a/=WŊL6lLUID'c`׸^nJ!|Ƴ IjI|+h%|~KLɶm׾}^tF 5K? .$)jg#"mYj}l%g< }]OP^h_aCs\E-]Q0$bU d?@tJ3跾>ɜhȑ^ܮr~Rm~t~,W_ SLhl$O_5#~$b&3LTA>h{MY;v\0Wv8~jqjd7 ?kL?˪#Z'-HHSF㟙t r5HĕN`Rާ{߅bnvb %0UWT]P\GK舵0OhP2dSy)bae.u0c} J mu'5 Vd< szf62ɨC$r$(X>Rz jnm)#98G4ŝFquެ̄nwz6zU 5bA6N  lWo/虝:Sf(["k'hô@@&荙=ˑ7 dR XZ0 u՗8eE2"F|J9|-Y1x]fV gi01$:S*Ь{q<O4x邽{fƆ43̂&C[Ѐ][>liŚ nh<(rWr9Pvϡ]4ۧ*>r498e đJ%>9wc3{׍[{^ >wMpU[2ʂENopC8!C`)ާ ,9*C.\WIYHmII2 (, y |sR#c#!bG9 \ϙŚ5P5WC>nBSfGڟ$rz8 +YǑ F5` S&L R}`'br*uz3Ol؈vc*=C1?3$Viz?ۭJF,Y` @֦3KUꨓKKTTi/3*wQ W$3g)캠ۧ}i}&Pt6 t{#ǥo1SM6G3eOo,lȱF0ĕXӮ[o.4#YIlo&cF/>̿@Kggu9t~%3;97$ p˒4O\ 49 )Ď Ԇ\rWih imn~:I8`$QiVqk\7E1}fxfG}LeFbAb>x덻uz؋X/1 9ӸqsfCӇta$m,71/1`ZHSƂNtE$D&YTUw=6{,m|NKIX>0p֞D G зP ч2?g88IēqW22{2//]r#jHGzcA$0:xk WɍwcI6@1+sK46A~"($ -BAуnp߹ ޻]@JwI/.n_3=tEnG/4P̦uaF52 (15K.w/2DZ#ݫѯ# kz`q\d.<ܾpf+cҲnֶ̔_$]4W9|;i} oX"BtsOk޻O>_O`Wȓ^\Z~o[˿./N&_@IDATqݚg{/qvd۷+[9tU2=𫆜5ɲkU3']Gϧ１omtNf6.E3'=7o~~_.Qf#+c/'tD(D1$FK68uecJ4c ^I1ٟxnTBE6OxC0.gƆ=J?t0c!O o K53*8ƘXq8V!?@ ENmȞwbe0y۪ro)Eҡ$}b3gITo)@2v/K,$1~/6.>bFF t3|e)Jݎ=zЦBf[ȃJؤ}(#A:;K0W<Ho؃IdsE jnq,!OE`M<[^F3C;UWucScM೙kmhit rp'J W[ĉb_} |kw!MU AҺpg=n52:u8;vL&Hd}92<Kt =>鄉ml?gFPw|rPB-%8?>aw<+3X@Q4Xd={?bMEĺ o b/$oʜbY Ro)'f'eU`M[ٗa27_Y=3p6:*1E7EQv?t$ޣcmtYFxʞkw396) `_f ~k]jfcǬgCÚɕ[5$jĬP)1 8a,afӶ< ( #4>qzphoVfćbD)W dp0+x2LqL1+{OiflfqIJzU*Sm,$$ȄF>|Rb|-9N~Q>w-:W͘%k}Z =g)0eA`7v}wfillf9U0/~p(v=_"h>QYƅ5}UOj^)sAw\5穱ÏS)pU.r@h)4͌iz ^5;Au=v0{1n?7솟Hufg^;MƒA'_+hVJg -IoN|N7٭ AW_!=:wo$Hѷځ50x߻n^0SV#GtcZc} *gC$!6d߯+?kâfJG(ܿ{oy.ٱCm/rJ crf/ BT_njV{X5 GWg"K,cmnɫ(eg%zVɍl_ýJu|p"_kф0<[Ǔ{Y s_&w/.饣W{ټ}~h/KwW.Ǐ,OzMo+?ܞ>åɿtk|wYFߟ!~}p )KYi$Ag*H^Ks=B8l6Y6^Yx>%  I0{s$|mW<_]೜ 7Kxir6>t|A7B}f5G-oX{XNDe>Rm-d3D^6zƣ[& qCÑ$cƄKBi<w⡾]OkWV}51gUG*CVm2ٷV都{[ﾗF5aX'R89I'_> V'2A%'Upa%gXBz[nF+צb7 XZ9 f$gBC)z&zeX$.M$a e;;]Eod0[O I9ufAP{?nFD93tRŬŠ4q1'#lsj0~`F2*xXç<;}%ChnGgxD8~md d 3)~RYI 2A 86))}4-\K&V' Y"0P";mOYoͪQ)s>1;D7Z}앚%<{A3d)Ó^hR!ο'Î$a[f\-{NmfP"_6Ч͸L 7z_~`TD]sce6L;>s?co<$^OwJ36sݟ`̱;  6$AxҬx\/{Ic&D"@ã|tQN?0QCS=ɪlømNy (NZ!4z Uw\UkSyb}WץU@|ޕMOϵNdY0ocVܿ9 gt8@69{w?M>vnOGɅuĐ^=j.Z賒&ڵZwd?m 2PBeٔmm7K= >ǯˍ`KE>#s5;޸a9>~=zn$'~δw^KZwy y.x{:$d/;Cslg/G6qp)bdmKE߿l'OD[jeB"kug RHѩh,&eU]!̇Ma*tg+3 ,%0Cazoe4~cU%eNf~y[2$5Rn컙Pb^,꩛%\LzeO?69mMJ/bx vz3]̱}Nz)Bu}?o,h UӮ'srzrI%&m8;F?{/}$n0=-$jw;W.{KRskMigpGy>/9>Ɂ@Oxlouc(M~VyВ|><ғNaSn[ۿs@Aa _'_$ =7Ul{1x'y7aKE{=MT;Qe~&9(} 0Jyx5S!SXINb zgMoy z,' 29{ jj{+&s#VBS/W>G"o*q^ߌGf-itz>[IӓA8Acy ^cKJf3Hޭry65sZĒ];h-;RÁ(fѓBHr*v}I4Ft[+ҧ#P'/ CGd*c a Hs|W4wšU9ES('fUɿ.g*]T JȚ͙1T+4$'zkś7- ϡ(8xE0tfxG d{}ǵrf :`[fp0}jl $,rlQ:?>Ifڹl,?r1%,.c;9@a`odf*@~\!VqO{~:x]v%s}|ݟx+f/OqX]q)&v]R.3Bgw:J`9mK =cvP71P F)WO̞ɐU<dca~$3 p/sFgLt/{ 3.' @鴱:ړgw-Ɨ}h&$TÏ5 :< k 0^)M@/l?>YdUejWൂ1]TȱЉxߊK Ap}É\k7 o<\=z4ΫTԒCpup o7pRu7^z77߮ BK-i~Gh ٣贚28ڜ{>g}E%y$#^0|?AS^xR.Hwlfn/_^vxtQKVk hfO?彪wlL0)jݛ;E2,` V^I|zs'~t7KlV K0't4rPav~~˭dnYN3~YC(h8M1?[(\(^׽AO1~'I%|?^z#/G~w..n7g?"\4q'NcHN.wв*d7yl%_d/$ȎDPer&\f> /J\JyvAtĀXs*˶ dAV;-5V_@T2)68;DФBN2oE 1F G7_f*N.'_idkkF d j:,yi^KD=|[鷒 p |?ڻ/zwJd˝o~kڷ^/?7ЄGU|iyٗ˽':ga_"e4V!լ"q|_ J'Kg@*!z;"de`vGvdOPR2ɍ*"iBvlaN!frYYwNIY}|4< .xDN; V5pn)QpF#3y"=w2+x;΁cZ1@ϒfF0Xƽиۃ4ձbҗxSJ,wsH飷l6^|06#0IsȑY~gʺ{7ssFijd -JHұt0L4."\k訾T=DWeθ¬CrU``m59p^{񤆫2 Ui)FA~v+%qnzɑfs䤀F}cI-WI0:\Wh:e_ru-1VG\NG m@Y`V9/}ΦFN4^Qfyfc"ڣg}pޜALs-2,$1d<7C:wvpi]MM%n\pUA6>3d̘]c?#gɿD; 5O TF#dQAYt nfuML e֭/۷ʞ矘ˋEH u /sk#gs=4>gwYxPut 'XfO2H_wN%v 6> G.'a+Nvs^o?{Y | &&C7}"&vsb U651# чIFoO>,ӳ|xIzz&Y|aFr^p{U%)#^ݎBÌQdpf{huu?kcݘ(LG Ҕ[Z/b/b`$%rrWDAN5xHc lxbIvP1*d]蔿lvHT?tz IkzaݐЮ 3hvb` nMoM/jC|9D[ jTm&[lJ3 L_/,%ϔA= z%W _7dK ֙AOP5Rܠk+;-o'ix͆j}O9RqKL$.vƤxU}̌^L15dOSpk?M頠8%vZ ['[Dtil c>$b4R7wd}3e̽$(tcAM0`fkv5p, i:'5[JN~`C2\?=;bG29csEm*K3} ξL^9fuF8D8 8w+}Ϡq+=7Mݰv~n_3YY>i{{aP n 7q뛌IpvDUF 'fx$QlWtXVX@k~3;2޿8s n$iT"(h>SL$& 6~Tem*A:C d_z5:>3Zsƣ]^ y7[Pj_b 7NLF4SM}}/ص>VGzxEšdwfwZ;‡{,s(ވ`WhGgp}n,PH5V]K,%lI`q%O%S3f9@AH .|11';fU=+kdG?~ IP)@%2lv|k}7U)ԑٝhOI( d$oqͯD$i9N*ЏdLoC^I$\qEDr>Gfy<Ay.VbHgC<׀s߃1zaF웙1[GL2n/Nf~VR Z{h{8;=x+@ױk[m@,5'f'ch#7$ uȞu)UU_|(1 ^}N&7jWڒom`*p@Yu'8eĒo_&*>XCРkH[u]ta#Aj&]X3]zG%O_9K I%M48:ؒNrXFO׎-9}!TWlh*n"!YN'_d1Ȃnc #gJ=UFx6~+>SRdyރuwBNN$z"Yn&t#WoQI*>p,!06筣^sWkOQ_ofw7?hy]<||O_g|XPXF2H= ͚(>tiʹ0Ġt1@!<0[mwl<=;[@s2Yɶf.K%O 4yϑpHpی!ћEj$]<#Zs%bhV=A1z1&D6yfqcxuaj84Jn3t>)TRj_YjZڿZ=ifkvڧzO^_c4 NU 83ŒCYl7QTbW9Qg a̷ Vs5DGAMb~u cՌ,'ȡdo8]3Dk/#m9 ǂl>S,`X737NFSWP"1"1ԌnGR۾3.j4cH9k,B){2=q ۪T{?.GcL͹țs&`YddVǑY\w: oHH̼84#}lJi6d b=N GKŐug˪>lX4@^n빑`~>)-]sogh{P*K6KOfOVX]( T$,`f186u ydSIc) U2JPЦqFATvG†Lt|L8fksDZvh9]+(^ٌX!'my%CC_ob9>[Iҳ^S^\ -zF(Qr+ڄiM.O /#6na6L IOmڨMU5xV'Czn^3T%.s$m | ^R<Μ}3—$wp <$qmifɣOSx3:I MzW`B%MG}eOl$Xnw6sJ,eh56s@J l 慗T~V)[[+x哅k}cLxy=0R52s4$D@N2jt/z\Y}cJk} B>{$ |⭷/ɮ+Kyd,VWUR[rB~ßȯCC k zpWdgs& $psY{k׾}xyh, N[f{6{FRC. E NuzYɣ'hCѰ<45=?b 5i_{Zߏ={ޱ*?Ɇ/90ݕ.^? C ^3K@d5;}|>Z~ۏ.?mQ;.,WĒ̉3z=I%;vo`rxf].D{o]Q}-W_-|9uexjYo/Jhh۾ǹHئͦrɶd5q&mD*SӃknnS[ⵚW&~ep>WZُ>Xw|d9zh(֏JWE.eӮ|tr_d^Fתڬ`;- tD"[[̗kgw[e~'y?ٝ\ =,5ZapŞN:l|="h=Z,ʮdzQDU.p^ hY3ݝٷ)<]]Q戽u13P<[?O V͂5)OANz R @N+^ܸ줊Wgz`f+{?Z/k5B>m|Ʊkʍwi![,uA6^S66L;"={Q5VPo?]>;~؞ޯjÜnC8'J ;&a8'wqC QQs$XoAzՎYKaLʳ_9&j5 ʲXWwω}9s 4jJ+{82~=c5T" 5PMp~0]3~iCQR 'hVyϾރ5 s?)PjH8q[ǔPh|hIJ10vt;#*pSs'B冒Vr1d93L΅)LęRd}Ӹy GqrV4^+3'EWJC߹%9I>@(cq`pN"{aA7xMn fO `aj3#Ӣl](p>G%Κ1v*c{s^/+{qx1sr:VQKʢ-ǻ9Xho q{&I7m%{͙SU&7I`~2#g}dϖ8Fѱ2qeؿ^Vݹz#2o;IUwVdB7ݵjjPl6tS3op^2${v붚~P$%n<}_*'Ino5;25|^+#|}(Fvw sp&U|pG0_SZ;bX6$tcx0_i֨- ]l^j͜n%޺B=&=|X7Yr=ȾLuKzpz㾧VU64uJ4'ctܑ!qE`FV]fd>UeIH/5G[yrTlŲec[ |~@r .mP 0| -OX?d6C {o5Pܿ5 rn㯿jo۶" UOku3Ud9ARQzie˷|[Ua&1;1e5/z5|NEbC'+[k[ɛߙϵRSyB< /7Wth%9]/~Ob<)ܨ}y{0ɆddiOzo}* -arFt ?by\z$Oż0#(ΣyI =gcFO'6Q%JЂsC2:~I4Vz9Esxօ[˳kj9.Eԧ Q|1x?}3r +Ő;},п)\1 ֹ1Fq )@"'`MX|2*Wn8--+Ge=d+020huem5hʺg%q8D~+V睱S. N!&9ϵfU^؊EJӕPRsR7 HF/ (E^CiCJmەM?^L‹z`Zrdl0o\MU,0UUڀϥI7;G'/$v^֟'SkV#|Nbm3o ݟ;qTjziC2%ϓ=: ^ ycgZr,^k81\Xu{Ҝ᱔yg6ޜ_İy3jmYlI\=gxYד`ɪ<]B "ƹVLɰU8)xy&I 2@>ޣ CbV\/99Y\y )Fۡ.֝F ]POBKNt>@Ú7?mTw= P"rL%LnZ@p0Ymw8 胏+ 1lγLel,֏>(GZUB6[Co9[P,!@ͦl=9N ėdPxg'"kjYX1owka-vK ˻k*wk"7_,wnYndglQlȳ蠕4_/`pxPrmIgKGK%^.?2ܽ}eyplUls4kV4DIr}= }ook;0hӅזm]ϔ ZI"4pZ mW,OE3/  ZWg 1&4m1 4Uv{nd7T^?|^'VF׮[sB8@櫏Iw׆p9MyP?]ٱGKGd/f㦳&AG,l5m9sƭg˟.[t*t?@9ۂG(o͆;^|5Su93_a6ԝ>; hNგQ5ij:nL?i,Bi[ʵ˻w߫' hvT .~It.(I\}ٓ˯~|G-ogn\qs^:2m?-[ @@ 0(d8w8=m)pΝUq8\6bN.B4ytZWJOy-GgSix!ZEsD*A@` p467gIEQG r"U[ SR柫=)=4SIv@SwKvewws)Cǒ n9]ʥ[]bW 9=a&bS?@y1]ZF0<d Bֳ[Sfϳ='%g:BA)n.%}5zL硿4É/FȬKkwVv+Ͼ\(gUyu# Ǧ~j1NʀjXeQZK8zo }<1%P"0ng vdKƞm>g\ZG`7e.Ǒ1K?ِ O.Q~Cڍqrե@.-zs=עߚufX:8`dyZM%xhXx?+]?ɺn`'O} rtqksƓxAtmZM$Y\+Pom[Y|6rrzٯ:Ťx 3 *8pNGeU/zVem19Sp|)LG=~hJ\umV ƽQHV(pX8ĶȀiVcB%wB_j]3$$++AyrdRwݶpmeͥƃp&rÖ^d.h.dQyDw/Ԡ!Wk%1$~xTGѿJqilL_tl xM39N_?8JfJbǚ#F ^; %yk;)~64atY,>g)|lXp e'K~p.ΕTm]@׻83zx/ ]wׇiR("5&{'lS[{:,sJ^Ʋ݃O$$vrU#srkd^y?88V2iN:"-_ݿ8:ůMӜk̓F;*CcSs7hIJeF N4d{H,c.=U ||&Ip謩htzj-f wf ؐU6 zntYTħ^8 _V'F6Y?4vo>]}>ZX\xdtMO7<>{^Grd!œr~Vߍh[:g%a/CStY]OKBPCrFL#~Ӑx[ܳ]2Kv#Ġ+ÿA r$WQ7Wucy?\fnN=g`AB_g,ʭÂ<`lĵJ;7/'qodw?zk٢׮(Igm]b%{F7x飦eT5WyZ|tKRx=۽U_,O>h~]ܙLow0?'gǮA$5, EC2mwOZ@ԥuVׅ`8zv ,wqmN}{v{/߼Ϳw/}|vD|z6[zdc#$»m5OA+mlܛ*4.l©kA.F`q %)J|o4,f_{"a OXYqs;W{ςG4Fy|v 5dF?mG @U8ޑ`0⓭l75iL^UmdOb n| O/$q邇LF?&d F츽l|gr}+N@8l+5 W:_J~C tW>`J'LGn}9b^4?l!?[~_.~Yo;O}A&c\z_Te|`r)4$OM>F@O h#Hb{){#^N!ԱyV^VGIoYa)'Zs?G }hH+ܔSXghSgUTEԽ1\^81bvYAx]cHOf*!UmJ7\f CltPU8Fu 9a|4_VG!I*t8PHSa9_穂I00PJ۾) ^4u40N[4|0-Ȍ0`rm+͂JK,(ޯEG&e PoMEVST q39a7d9>#|æxN8QMC4J')UlFIPO${/RT * (yY$gqReV0M/m~v`JOU1'<5s4js`P5 y!JSnY kD{$X0ؽdI9t4*{N}r>WH,;glhtrbȐuKܪAN.%NPp1֞vӑh2Vw=&!10My T9s|4WNY 6 t\\giH!~S57hװ o;  _#x߫ {z1=8>'L7{05 ZTq4PcK§&ƌ<#G9s 'tG?Z?'~RǏ[?[*B=ohw*}=6рyqlsWS,P?dC"f笞Y,IMҘly}`{;hoIy?-)ᝆH_਌ A*ֱxOt%Ϸroױ{|(P/BK3O?%io<ߛ[=hyMz,;vms}"ٟ6v ;\~?\^3>$U9 ~'߯')=q)[p+UòMOa"@pa8+oNw+^= O`Ȟ]R2ނqAv~y&?eJU>34:/h=NnĠ겯<҃a,4$Ѱ1!T|!Bo _|~<{ko`%{t9g=^HOO D$!-3諪@Vmˑ'c)Sp4=vTtɁC[[m= *z$Fup_6G: *NWp9h״o$Sxh=z !gz^eNzI|M5@/ݺb޺|KH҅G)3>ëCJ]8gf[ 5<'Zׄ9R" ŊW;{,G?+- lX7dy˃|J-[+Wo|VkLDc8_ՂMJe'^$GfJf:#=VR6}]2Ihq&a+] S @̼b>5`Q@z7twָVɻd=?0cJ0/"R6_ jLi)Q΃Cc'mIv5dh:ȍtZ"[:PFnS\#4Vɦ>g,*[< zk~Ts>]rKJY|xdihsu g!2'b*hpj29Go*{I= tpq4r> =zh{Z0'3ɬR Ya ]r{ƚ6rD%^̞]Nłx+e9 $zt!XǃR9x6%_z@PBRGì$>GMӬ":OM#sS_ T#9)/)[8Z!,-|>8/G+/ZAQc2*T^UlWy$:nIJgpۚ cu`p)_Ms=V( lxu&ϼjw+J.mT8FaMd*!mzz:зlT$ڮ/U`=vpX-`@K:VE]2z8A款H_I g/@_f@7k~xbRO/j\-V>d5_ΛcC "gcq׾9lo)\?!Q&ފ9N/Nd hԳpH_f=O_o `H1%جEػ߫q܂!Um YbY{M/O<$[ޅ ƅܶ>,7l彟h໯|h NJ;i{Hyp2w!ނJ! /ĴSy㯝pHJ1zݼ{+^tIǏoF G_o _gHVH^jgIV-X> ֢eV4ZGt8/ 65#V`բj+%%.C'| R$FP;x8z)ex |8*ƓLoWŶVlcsluz~QG~mg5=tP{.wkvyo͟og!_V ,l#eZ3|7O& z/SZpC@XP(q`> x!/ʫ>d&P$oJ:p I NP >t&3FdMX-ƅ/j+!i`᱂Zޛ-2)21P]-#c(id!+$[AXZfa ̫iR#USѸe9SxarB8YzM62@+D KM8ǹUֲp16\1` 'xì29+p鳯u/%c=2 Eҡue8 :>'܇  yfaJ?hy8D/V! !::S6C䍳:.'ާIhuz#\s^ F8>νNOr2&^1b f&A#R=+9P>#tx`GccJ1 1];+:Ɉ<#keb:{ɡ!+ٷNEmu^q807!ٖ iز[^Sw6FYL0"CcO2`JY/w[$gNR@ѸbVp>T+Op\*gV'zup0w!&R_V'ODׁ!|qtG\{C)3MB$Yуu$CQ^؟|6ߜkFڂfyX0+/FJKf9cH4J& $vq"=Hٶ\ϽiECOMU]%;H82 %McvLt8`%nh{pAG7+Ӷ/z+ ZZe{|IeKYz&h>=kNtծVIy]J&҄_ADkInӟtU:^ʹ$d_l *CV$'Yvms/= X8g*GTu }W;ꛣ0tOp+:S5fD{󍺓 z}kHYKcZQs?3pvG6C8ja> n,@H>`췿.-rܴ?hƓ%4}drq1~T`M۬$y>&!ChX@6.;BI6Ƌ^|5$/tD]ސ2'Dtr|0>k w8(s%%J4_Ď﷽.]˧OG%FЮEU'.Qzj %_I S@|PE,zlK6VϪÇΏ_~g<( q[ǽY/`yeQO@ZzT{‡ʳW%26TӹSS`[rjvƻoݻ?G '!ߛ>,{LUe7%''UGg/ƧWݪ֐8-4^xi-nXx⓯Lw%Tt8uW)%{i=a+Yzĭ]sC0 > 3{.~b:ȼ!1>w4NHw9.v#'m)zݯQt)_Ts;o8m줫텣2ƈM拓db%x'Y$\ϒ_e8 >|~|Ϻr/Y[\0GɓV啿K9 49pя;) d@,=z 8~?dfVjKd_Tj*BB>"P1bxN5Aື1*A!K\_b8xD"AVC_~ѕlcA>tG5o؞86]7D 橼XtQQq)7'VJ4%yħf7 r`ˆ74^8t@SpTy'bby/S8aV{ӕ?y,]J:S#Q|!-iӐmYy3OglFbo<;^!WkV֛%M9:!K%>, Iv_hIw``#{${Ze,z)%p/Hqћb~/kPGFB?4 ?J兒􏬆lڌK4[ac*T^{Z "Y<:>||ΕmN9;;2 "=Af7ݳVc}x*p0O>olCf..q+@6'J5',ĵ9_cpgn*>7?;~77vׂ )?X>LUb.?;oR%^{ML[8XKtīGيEGxOjcd1:k2> 0aiN-\Ͷ<O/r{QlU6-$-;ԠXch 'nmgg$&n{6Kp&׼t]1FM6s*\ݽzbK|0[盞J*\udLҝ慿lx.+=#+NۧSKOcn\:ѩ~h46M`$-AmDDߍg+c'jJ{َ{wmӀ8[&鱁?G 2 B$l6԰ڳQix?G1j>O n4eB~p2{]c|crޝJޯѳz=KgW4)8;NJ)\2Qmst&NTrEY8W/ZW&NwneoyZS+G5i&d .\Щ}9Γ-ڃs+0s(6F rE j!Zp|-{p}NC^_;ntdo8  NexgO&2ڜny:Y@{ ը$pzl 4g\2D ;- 6}F/~GuEC78Yl 53s?A*29x"tM*EVf>'aaV`tGVyg1>P93NQЅtj_ @6DrN6Z԰OPy96k 1s<] _tج8j6hK wd/ %]8/jyn^_;w2Yu7C܌K֓=gZA'֭!u}Ϙa$<(晎=*j;6( r52o.r&ƌ;@@Z.E<9[&hH ]oLEcdxDEp9ЗZH[oJ[;5R-eq2Srmm{-|j1kzj+P@<4V2|N?/oyg{PӺ2nH-P n,e;Cڙ WX.h 8[w@#@ ^{P[`\Chԑ.:=7',utU)p]rkú\FxtXo"E2{j(1eӺKFlŋVi>_֭?}|R_}Z0D.IYU>.fK bbIq"xi~9DV9pC5$\=JGI|"*#.K s:cO`޷>_O<iwײmg-tmWl$t0v7"X[uRپ3< oοَ@$:ʹe[O?zR/~*v h~p%p֘ߛ) xshO%YRNФ˻n.?]{yj͒Ofrq rItxI?;r'|.|:uJ.o?JTIowJ X0=j_\&:Yɥƴ 7ae?wӄ&dk(@áХ=6}qKrQՑk=h>g8%sq&Q 8=H;bH(Ut=ʳUHN~Ĕw%]'(I̽ʗP}o$Υoq]zRǭމ?<~a#VKHAP[nN3Ud)gYY_U( :[&{97*si/ߖ}_]gX~-$c'̓Lb5`^[zk9\y2[T+=JltyI~ٸ|:{e {.}M-4a=IC-cv{'>sxžÑR(ý/|'r9D: ն+Iz]ԸgCzR. wNmZ C\M3(@eux \/T~ F8l,ޛ niI`gͩ)$ίd7a]U(/i5c'Y kSD5x+_m$}\.}#6r:P+;YD B$fNqK?HM5Ozh~LR3zI+9YN[zMԾ*>EdVל OxCD0ev*y32a?NMxނ1~UNHr)yoI;; NR[~'˻}PbƸxL|{gU>:!4g+`9yZn|J}I P5E#t]D9_ͥ1|vtz@ʥUayX΋rOgClxtEdqܴfӯei*5v0]*!qܱK1zR_%QZt!x}]|kIfMyQ7^7%$J9v|[4}\^yo}*%_,йrg]3/E6a+%v*0ZaSI;^::}Ip͆4V 4ل|q5mwmnKǏvGC]&~PII {aS,yO' nz 923GKS-UpJlGc~F*qOi{_//o.|tƥ;I\<>OvJXoG5L>dSLP]`Aj;dW"/AUyʧ>t3 ¾+Ib%*(*iZp [.efm(A}~yryI|tob>]_.'z)U~.:k@ = `~f[ā/\^I _Z}wssv=;mkt:׿*m/wywNDUE> |ټC@C8H !lYMGvAJa&t.` ΔkZH(cT7ά,[s'.PQ)f l@E͔h@r7F:!2[ b&\͵`(U̙Ƥܬ$A̎AI5V+lf,d1}cDi,Y$sݔygCDl[ lA 3 tno7pre %6dhQ1b9+yI?!y7(5Y XT^3A,&Rq8L1'( $@z<8m㙜\Og>]$5lro`Ʃ)++N B)E< ᴁ @8+- eD_zmyςcJFQ90e %y ]VGK B\քI\j. 4`9"0|8Qňq L(){^UhdgOnPC |?+>sxl  ,IƤAc3iVJIً;τVnxdaVL{6Pb60q̗m= ٚ5I;()!?i]j=vp\p(=ɓ3TlxMW2:xol@G|T )kq}WCtN(eu(J?nkoݸ17#7s^CՈ X"Q&#4;pt D> _g/?$@oU%ѶҢ@sp܍#Hx BɂO&o31`؇+9mI/7Ip" JU229YJ?MO'Ϟ}{,×S rqdbMRrNF~Sg/~D}r={l>MSu PlW]zQ3W~5>Bɜ)'^ؑ z6k07os!o34VWN[?_sބp x`V)1p ֏h1JJ _߹swd&4^|c~k咤әefCƖp%EC kd[拾YY3hG ]__XD-}?B~w~Lw]._4BJF߇}Zu3ԯx9c͖EM1H7泠ÒFExoG8MU- 'F;|ھVͶYWGJ:~5dMvEZ=Gէ#\}3Zt~o|6wop^z޻qJATF~r[BIh?B`NJYDIb3\I.J:pw_@nP!vj%[pf~v:^Uu:o^+:f:OKscש p JCh݂VR5\?0 .]6_~=n5n+Ƿ7O~Ot_Ba1S8:4Xg QG>[s_;z=jo}mZ|ő#T>m8.'קۚY͏oLO5|gl9as]ܥP9 ؖ 5G uV̷<}T'ϗj7`[˱!_j0  qarJV@~ܹ{soϗO_$p0ߓmCx/N$^ +XJRU$ TBy>6ɴ(MX;huT4אңuX獱OHbt`z`>% 8= ritQ ua0c4Ěes3ģ 8| fb$ݠ8dΞ̗`rHb 5k3B[&b]T: fΙF'˶SrOQci0ao-[H)5ﵱU4F3J =ssС)ʽZ5Ak{\@,3)5?6%9p>Ggv<<] oCO`9S&^BiJ"{0C5 c4sfW>{\N&Tg1"[9 db SxT0SR[^"hx7? =U wc%d}$ 5.UzFEϐ,r$ ;[i^g)ΗTq8PUȻљM56zad3<%YY>:iPNe+-]Mz yYtc6=uUFse4OJdu(9a!FLr[_<-`x'YVGVAzHt~oFuDP zS6z&Hl]vCT|':l~S0}sV ~mmbt2݀_d~]2*l >?Nb] ~kx<V=|9ћ#3Zv*c/_zakG->;ʻ:6;wc xWRƫ7WďS&KVmjx [˭kѲ'+{[ݼzfu( VX8u)JH~dψ5=`~ }W{VP[ Ih9KRrUlZAr1Go`9R{dv%Q=OXY_R ovUAV.%sJlnlSՂ+q'p@> O e,~}-<׍[芰]&ó$OF98L|<\9Z~p#u}B׾9 ܫ8pc2gNҩ1Ft>ROFAd𢧄l DSܦbAcs$k"-WV# zA%^5dH÷$$-؍\~d+ vcc[gkfB*V5=sΧ./~|oz~8`"b89}nָ8Z~O+U˯mFQr }索PyEbxbID/JD_`C/NJ O%.s- :1]rMvC|X4^r,K /gʖJЍ-ty~8h?,>U_jb6&fsV2ÖY>B/ϖ?Gzkͯ?[Kw6e#ʜijp"aq e<1wA8(h}.hZ\.XW\SbߏR! ,cEs\ #ND#2`* vVGf_޺B<'.tm.2h4SCuL}3W&L]Fcx[)L%0 \Mz>lػ2H$ Ygs.)?_D{yXMlhf@ 7Q $V?_djr\#.Y]>LOid]ɈKzrf2?r[)X5 2$>\2a ^㴇3$ +fD#|EdWe]ry=l}OpJ<5Z4)mYXWNp rEalp)#9K $|E-LD{ >1IG{j%8 ʔ@U%r9=^FYY((1Q95 I!gdV91Jl}ɧ|+y©]όU9>6] 8LƅN:C;ۂ6 &נ]Ii(;ئ9YAqgĐPl2/Q"#b^vG5먞4? IOR\Ղ *9eۻP\)tz~S ʠWDU4“*VsŁE-s8IN=__4Z^ڧ.NC?<Sgsʹ$ y;ͣ2[5"^hmH8[@ \]c'<ҷ]KSn\38ᡦ0䛊?xyFWzlUq!}%>ciۋGGV0h+wQTqȏvw|gЌLhp'WɅkY>,bӐ`SM}l X,Gebӫg% \8~[3敷&؋pn_IRǣ=|[%XF## zDϫPÆX\j7_\D?U:d |/zgmh>Lte[ Vmۭjg}k ieI%z/9'ulCݼ` 9i'Oʙl[QrV\?eϷ eg޾sgY ߿)W;?Ysnh=,xdswbPvokRcТ4%Lkd I E'%6O>㩋lw.'u8X N 4;#Og ӏΥhóꍧDCҦ+:+j5(<(1Xa%KNwK/x*M:*[(}j0&stro?[>_-?[M]^|ln.x|r&*J(]. Τg6Xuy "0.o9FFK& m #3.^Sg|81 y8HJvz؇YSɛ]Ywƒm?,xo矔*RzBFm^W=8bovw-?O*^z!xRf8U%J8H.JYSx2tOV폐I}3Xd^(cC9g RLKc2^[!a2ON)Sƍ/aclΘTv]nT$7RX0; PYKr^XSD94g1oN2C#˘?hJ)hb?s)lJ'Ў7f>>*4gI:R֞A}#Q-z'bivqx?=G_snX#g1g;\ռ2(xa$i=/3'>b=Y':4H`MlΕi %sሱϭԶ"۽[ΏC`LO11:+~7njb1þp8'*HC:|w*G>s4|7g 6<r'mED' vpk-ycZcVwjpnxi*!)s/,j%Jk8Fg5 LJgPJEFs|ȵ*c&p|aGQuy dNo(7d ( @傠JPGp2fkյ9V[&+9 ;phfeųnVSt4pוe<+|o-yY׷o-}#(1pz^5'3c^>}5y3iiE UVKbKÃ[q޻nM"D$ ?샣g y @nX&3+t^_S -O=ܰ'$1$%{Ӵ.un$6`faޔ[6DǦ8rx쮕+1U_1x trx~P {:Wc'y?5I`ˆIpFk'3(1SoYC#XЇAqBh=YbwkD#T~{v!.N5IhH.%k4 p8=-pwhA7HJr9qp zT] w+v8ƺ FgxX:Tǧ=5FeMFUuѮDȆAT.t9lc ׹,\nO}gt48WWˍVY;Q_b|J]w߫b%(|#^ fJ .6@kR&lK#(1}28.XU[+.T~ -;' ./2hb ]4KLqca6?ȳକVFH~+GglTN{V;9ipv</sO\}Z2wK$@]Ix_4m"߳Uq>^N`atB\ݞ'>;G>Ϊbz*ihn7ӏ>W>ώ* V6ɑ~φ_{qh,$M3 k elxmTDkn~xzzp~)*.{e~|}Bk>p1Yd1;* /wvU >ȱ_[xU \sӨ:Dھsw _n^(uV=- +k^gVNP 0WzA0dLG+ 1AZDtq/2 aPĐŏ ]@FCGhQFɛŷR 8^ݜG7L )"c!s ),E >iPs+a? `0PF7T"bha1Ξtm'H/ΜX1!,]Agod QM0=MW_]x縣wbD0gPBE |0SЙ2bʳ%r!HfT*w0pTPBC(jmhc?7")9=p4SPPdTxl7VpܷTDQ6}>R;=Oo^Gt||OVk N(h{+ t4CEsy53lEǡ0&,M)v.]C<9J5Zks7'q5m@(i:)< 9q)6'k?ȈUI3 ; >EM/۵;p9?3" j]VήbEd{>ZAKgF_}uΧ$wm/." uO9Z/#n=|vto_Ǐ391v9_Wj3ۅ(Y ^iA Vz74d_8qZ cg:+OTB{NŶ/(?;OyG(a)HSGqh2AD1~yApGV `h L[|UM Etmȡ}"HZl&`zTmG}@Cʀg#:TxW:; 5ߊQ]wӺjxf: ~|yak<-]5 H5==q]M}3xAخA9xڛZ}5Z-ex7>:褡pu=hP6T`O'E|seWCinh2[UAnN~8{DA0빓ALJltrN O πQV 4d`Ux]9ј`8.u!M]&0E\nnw4u4#L}yczBsd4~9gnz_x4GeBV`E'OϧA#r}p0ryӲoo&OܜʓJ/LT;t gгd/rB !Tֲɝ(1Ѽ#c'ޚͽٵ#ӺY'sr5?g8mlQQhrُ^&ر}r| %9b*8xTզx A&:|Y/Kv Ѻ2=n%6*iNCӏ${ l0%IH^rfw)O4D֫ZܦrxR)} i=Ohՠ$Fm!d%P%XTnL.u|@T!454?AKZC첼wVL >vU듛"(۷Z>r\%G4p;?|齒vj/<8϶wjE,;{FYpi~ :6k,ۄ PaMO+K Ax1z}Liv=#"1wWQ'-5P$8Q[ _̩_G1[U jNHXq?IoV/ xVZ^.KО]w?]?{|YzlHM}&Pe{H*t~~wzjㄳ$ I˵lDK>|ͽܗopzũ<~c84xv/l$7c+4_[M5|#'&K ~L7l}ϷUuvp98뤂ݣo}OXɿeGO/7F͵c)N4qBm5&{_z?{=~'fD9#ն{S1}A|1 Ƌ#THD2eלP6 `?<9:BG)<rgr6agkS / 5# aqQ>9exnu-~E08Q&sV h1L0DkS l.ٓO05rT#jG%dLd8ǡ0Cvʖ ΄ 7zfdrG-cA VÑbfLjQe $ kTnv1C0hRE yti&3O[I3xD?ea9pևs:@_o+f^31`aLfLCj*0FI:qyV&I{=W?\l/%{o=^'2rɦO?Ռ|E+@MwAi ΐ'fk9EC 83 3<#[]gW_Aft L8S/&39\XVqa}9 ;A$4= &*ѭ T.dsOU'=.fWs1))[lJ BUau{ȌTC'M.:[d3yYg=[`R̅;_V!4Ekl"[ӭpz9^d,=Qޡ Y>8';e\}:={As활$)]0Zw ^pӧ#@X" ~+CCAㄫMv_DX9ȶ*ө$l.V:sv9I /3sxu {Aj`%å jwrr`ܞ?khk^T}t7ȟ'WE#akcmA5[k#HONrGrv*K@wyyӋ֓l T7 '?aGfY28D&dki8ꜭUVD_*Hs a9>/NW@F r<dT9Խ,WcӶKɥ{L%6ap v;0`iW[bhs c^ng϶i,џ~O?c'k;O-YKB{]qv~;H‚.y#C{7%' zC]`DYftúŃ53.}"?3ImjFovٰo޹|ɧugͷ^/vtsڊlrI6E'pPYB6}lŪ+dH7(Å ){ ;$T4n$_y:bD ^lK$|q3~\?'r:'飳۩JF4ê=_3 ̭!9Qs|{%y7ۚeNd_l#9'`v]|=.-_u1'sT+VQlw/ 2UB8G!>s9:|Kolm 2=m ?h o{% ;c(|&m(>i'8aYʤzT6v5 m8{dy=j~;n\7ZOOO-{m?tvlףo& ї4m}Zf~{߮)(HZ?,pREKv)NPp0?Kj=2!ctι&w(g(!"<QY8c\cvQ7@ e\c"Rwsǡ;!{/q"1_OgqS 1 GM6`q30YN]cO߃b>"@p~L9f30}u

}\-˴ӸS + nNG?#A&[Fva |;{~/û#C\ٹZ@ -K}NP 3"ypMhlҘ|.ۑcNC[B|p Oᇂ⠘ H35 ps S3"iL#N@@ѷڕfZ )ôgJy3Ȱccʝz.d8$X5x.sLؚh_@Jaf"bk[cģd)KM /l, }Q.o?ݺ6@#p1x6X qIG7{Pk6m0u3Dv= >? Yg+/e4Dq߄ \Dz0Up^fn[.}0يc5ޚd-MgYQYUܣsmMŲŰcJ$Jo\,eل=mqYC|h6@IDAT`j<''qz˯ |,)eC=@W/0[ԃ}_U|OGW}$pU9+r||臃S ov Y\3tJJ7O,?.$Ql D7N>qдZN V*;ϒxזUrs4egl2z0Z0)gָT8 vȓ # d.v&юCo_Ur2՜ϐ\ҍ5 i'a'Ӊ~ec?u."J__w/ӣp:^29m\k,w={r`lӄ؏V ml= C@ d+Y:@ ٚOR?K`dG)V7с Vv5\X#U2xlvrG*r9 /:%@- $WxK[XM-C8DE!~/g]o}0{aA}'4ߨhMp!|(-gٿ7w$|?x"6~>mzl1a r|LŚb7u5|"dcAd@NDC[Ux]5Ui-U gEmUV !ss*_UpgL8=x~+[Cya~Ph{wRA>Jܬd![C_p-S;cx+@M5@^h<"A(62X7D7j1:b~cl)jM31N7i@8N{c ` ]7*&{<32l<]g7iiчєm$ժ}۫)R;{92`0yǀ0LsC' Sܛ}mB> -1s_YND 8=?v UzZYJ\ʢkCAÆ@d Ig'AE휞O^;$e76Y-0C}Uh&  >23rP֘3k{~e' Pr?тZKt۟x^O5=ugxvQѾ̶,gi)#њdDИMp散n^5n03<4kK2kRùn}z{~f-\*]{0oTRH^>W_߯ gjù| -J9s\d8W镯&x5y€G #y¹3|DGlj>^gsԬbSMN|?tHلkܥ I *gŃ*U(^s=lG 2j hR:HYxz,{s~qvf12(CU˾}Mhq5X!lna Op4-it èkp ^!x lyy21U=cU&{%z$f$ w/qTdBPzPs^6Sscx=s:@_yyE *VG-G*[GΑ IQocwZÊ` z~ځEPB+>YsRh6C^}<䚄~aGu}Iݹyٯ.3l$[&V'o$9. Az7Mtۺ]|jlvPd' >JvFgSh>rewVxS4$isg߭z[v,6%=uCWgK(s3ZytФnKB%gԱ>h'm *6SZ#>FA׭7/XԷ Gnܨ:f|h˜Bw{v{,ne֑ )ҩm1 4JV:w@x|ϗ?`gϬ! g,b!}./JZUp ~!Sdף'ϫ,ҧK¹+9JID;3x³+jY* "&颰1shNS7ھ|kyR煞ɹk%vAh*eۄK_yV;\J'Iצ:%~^N;NVr焨7[~g]~Z/~<ZӚyyS-^(DlΒ`KTO3Fa׬FL2M8:]+t" R>PMQrWr^P6Mr̒I6JDQ " YFj9ւ:5>'YЉ8iSVµUd|6u`(ph*>)Fݱ|EY>\@N;"Dz Lyz=7[b^TqfQ \uOix<ѧNȅiaXcqZd2p)ͳ࿛GU):ʡتK<*C/p=%)̳Ei0# 0#HR߫ل18ɗgLD;A+7v C,x!&3G_J#@Vj&z40͗ѦWO.TuAFo\N8`mԑ1Q{Vߌ& #_Ȁ`!GQU:c`K{Ϟe<@Og>؞˝:2;dDo%exsvs\v\Nf(gc)Gra^;SUFa5 PFoWf#E}QpŜ٧>lXT[Pة#šZ*>:#ܡ`=k͎!aa0ĝ9<3>FZcs-{~LzN/ oN]ѣ'TzYrr~JNCج "c9_~yբ""lP콩bJך~8dsA\QŜ^x0!tUbPdetIM0t #̼ap8G\B$Ls68 (>k6 aϵ/G9S" @,GQ9VE3uq1J)겉@&f`–F8I7qZ5:kM'9F,5z:6`1[E$/5Nz~蘹\ G/߮Ll2 0`Qxܭ1P"Q pb fL1&s!uĩ1o?w&uVX/s(.a1)|S/gl6}^z,i- Fڟi2hMhQf9AfJG3m`e5Tk, :Yc찇o݊8AaJ_XRTF{%2kK2&k^;;+|g> O8; jN0kMx#. k_vtҞ~Em"QJg9J&3zB73%)kgRv7!iNہ{7N#v"hr5ojB03Q8D2,^|M8uΈrh\xs"tPv̙}/7ʔ?{LqHZ3 ׋ bs};<ʄFFȌ{RfGVx%ï n|#/tVdKN{s^6u0y7;?sz{>!IQA1dGKG[ј,voދyՎetrCq-n)h~x/dJSS6OEv1=*x ?}ܤG5ߦ,wΩ09o}4W4O6Cֵsg]mCiͽ߶Xhl|5)dl32GǣwcW[Od};*T}d[Q=E%@ho1gNU")e%2}91`C^i#U 7)""38Q-m}hP _J$a|nMS%g9K`) 5N}:c2u\FfWc.7|GtXضR"^k+߅'znT]_l s|U w|[_>X}uM{ΎVNAs2A܍3m\<}Y?Ec7I=x5.m ݔ(y(ٵɑsTR_ҸȫyWqG!KnzJe$Ou ";vh^LDۖxnίW{U\x%9t|~oy~{%ڳFIj\gczӶ>U9{:o,ϒU!O+qcL04?Y2L=jllrG5vLz#^GU0?k[G$ygo|+s7 Z/NU?Υ/J+wfO2, x MGg ׍\|/ 05T-d1ECNNL/c˷SN1Q7*uS5 `q<-0 ۥx h$=A1D$ l㼑 H yh s [ݭ''SzuFJTAs9є2d$l-V*>֮Ǝ ۾b G}Zࠎ#5P ~kQ#0c\#%`>ÖsA:&dۘ *9Xz yU6NP6H20هMu#׷qO ƺȑ* =Y+* :ߪ1 a/2mt礃@?W"^ScMxM>62GοoNU|~InӜ[h:L$إCO=1}\P$%$<4k:ͩixf3~ 7t}BNLОL/:"f^Jэt "]A6f9[/˧5_~1y@_ghK]4:H.=/I_UY5z<=Ot٧[GV+@8ƦFBm,]]z CtϪtdW_A/);ćr^thn,rXE<1FAx(J0L>ϫj8PUEy]jP>կ˷*t|;gi;{we^T1Yϟ.~_7듨yژ_<я:~{^//|_Me{7XztV:MY3GK`8A>ARwm"\ @謃!B/h 0|]0tQٜE8i9L'İ/J]h:'HFhLs*c*@0e葌Әs+bBEPboF%96ȐqN#=Z#t)ٻ pq[g)e#ppncJnJgps}~㳌gH3ˀml4V2v_kI#ͱi iN׼O+"~E+*7k;gw$@Ȕe< K9Sؔ|r 3~9ӌ'8'6&Y8\Rsaư2FKPH]\2Crȭ9 Hc!A dGRNs*<. Akkqh6(x2i)s\mp6JVÅ8sia|4V}ѧ@D7Ec.% 0f V~Dٔ#p%~Ļ:oK{?<W(?Sb ĢNGJd\9Ń/3>{`mm9 JŢS'|ƙIm'v"R[iCV 674e.eKtޑ9yʘp /(#Λo^(]o?~P(@Wm+Ԃ3|Ɖߪg/`X*R$Z۳:w[4n~ՃˋOrRWxgmkwu6.f h^'X +p&hӟsGfb_j4ca0#l`ubLsr8tI gW2i=1&޿gDRv['MEs:(r99,Wm@z1>Zꘖa*CxɼZ`"@o!8S 3 9I'fKߎQ fe ӿ=9;@Dx}=z_8YyB*klK8XzMs㰪!npϱU07'ӕV\Bs&>|GN5gp ,L%Zp/x5f]:Ď{wFo@G'|LgϢ=#_a] xwsS%Vcq٥i\zet8]jrzUभ`KC\E2(EM Nrdlz:͸thx,M[pq A.8G/>8on}hQ۵p@`NRe@_x/߂G@Ëd`hWMb0Wu7ݹ-f-b'ݫ"PUFNc;/!sN޻ZGߜߏwk0a*RCܤ/}͂GJ:"bo/>|ӝִBU/yAf:b|3|M,5'ݯ޷ GۇqD[>H/\>pvyw߭rY~OgY6џʇg9o,N=~W\~ӟ4~vvZeztT]P}~`uv2Y oNEi9侄T39ДgxD`k18=B?` 4ύ£KC!f1O;lOf(&l=<5 Xyw+y aS`+ZlUȠfAZ\shf=%iS5`;b]3"FLmJ?*;k+cEŐZZvvʖ ۫i} 3,c!kg˘ZOFyYTNC#Dz }0]}z RƧ)+Bxs\a8` sc\)c95&%Iq)Ë #lNM43z HLXŀfI4Qlc3GM?j(ZW:ќd4icp)3XiuU+L샦 EΦtTFIl"u[Yw5N t{hһ؝)o6=c +3ʨ7e`V/Er{ZŰ[8-"nq ـ&{ZN @SJC[1L3@lN{ l8NIdXQdf#ɇ,fNix~WY+Sh~͡cwne@?`sy,_LD6_WwS,TZvP톫5_7`=.W7|Φl*wt!,hKৌdTpF=/ϟ,[! N_$N$sO&8?/N޷'H4Xw>L+qq&`5&&9m?P5ݲ]Q=q;ɭP޿ oDƳOyGE]o2Zpf% D5~jx\?ڞRi9SmRv\,$'|? $gW\f'/v-"9&@%~vNˣy55r,yYcMk 7H;4't/dj>3@Y* _[YUc;jݭgus4 d2@\jx2{_Az1UDQ!yt@u;$9\,KK>Q)C+hVױg,c6&Dy?ڑscsL}̹kPpyyf?ҩ !Vly(,_AĞn&USߍFOdiGͅssaI^@9 LD`< rfqj('!}z#R^p^پܖwjY9Sץ WZ&r0s1}>EȏUYl}>dο D k-=sdfQSdtjW ˻o3w2\Ql{M0αaSpk0kYcۺ'pڳm:w'| 8}.d@?|y1£_G_E{`޿ԿM5m7w;erP?UW'mtvl .t) :UzпїO9ia9Of Wcɑ hPMw3畃ksY܉ޘh#RF8=gxe{2zԳje8|= cpzS8!$sI OscD)Fhr )yNnܰr!w@辞10:gN"{o̭jYKJ|S^$r61  #5G.!psO 'SИ|&x!y%\%TI6"8JkUze?drXBgoe}}0BƔg6e$5"ЫjmhV4^P +Q410.l2C(]<-+oti?`2ۇP8Ƈ^׮z0kRьf@)L'zcgDlkF)$aN<[OTג^4V^P|7ѝm^HMb{?=:'TgFť WS8ιRqϲ3FgTN&4_Jq̶% vV}0[}-]LjW}6Z ZS`ȰFC/Dw8|7_Gd"_''ngȢI"\ZD1~㶓^c^CJw3f1`>mnI7S~y/n@~j#|W9tGD:$lk+gSa*Fv/,-u͎Sq_u"'Na`rHFcUJM&`u}#p{6o [KUp5ݒƔa{obE#Jdi0B5># eMn{leh|ȴȱq3u䧱 T4i(l}3fgcCY!Dd8O>dLJH &?"J _Hq1l M:J? <?=ی9L0f s)Eqt휤M↽rXS=LNJƌEJ=C5}3+?C!ErC* V1*FGmjPݒM+Tض~V0lNNqʩ3vp!~ ^7Rz;a컹sJwo~󃱓s ?ѽ^-zsNASM@I%3}oD3HɊgu棢n^bjhlIY[e}4jKǛ\"c^6Ax_WR=om,_wjO Ӆn5x>Ch鈼#Wn|Ch3bWc6 q xMa}|k7ɍ㿪WH8982!)XC_9&9[sԝ4bkl9h*nDu"]f+wd:m(ѩlY !'1I(2BTwMl.|in5Qu=TAv_,/|=iϦ2I:I o'تc?Yubş;?VY?~'G=[{C'7GKMɤ$)3Y:F3'yyg:Ԃ+]-Q!ீAC)ƈˠp:E=0#, {'لcx 1^!S2 ꔮt)}OȜ8Ԛ{wpq" ߌa op(>f4kA8lkͫ!G PQv9ͻ౑ U @q@f9SKǯUtPGWʮ*SZ,48,!x"$: ti46wkK!e7i+9Yï{f(sC[*l14B&[u&aʹ_|vjՌ (v<I1;g/~htvm95IApI }(U&znU@uU]uē_+D-4Q~f WG<̘kPG‘} ux# GvfJPB*L1(˞0r& C4_ƵR"^9uQz웴pΠK)k }*+ed*/[}eFw""Ͽp 6" :kx^>2E߾=r|>Ff^=/Ȩ"OUU@ NpSΈQZfϲONB/$f)ͥ W{>D)}j0(sP5r3 9ݏ'vIsT F{g'М7Vp ۚL~5]C40֤9۶{)~/<DsY6E0x2Osގ9϶fBe؀9M*a#ž[݋>7ɜWo܉ʲ8 Z^SXG?}XF훪̘M&Ap>ed}%Gi[άg'}ǖj͡76y` f5 ַH)VH/Y/ [}eٲ"W^hYEEu)iJrrFT'8|VfrՎ&HGD@zp ӷ2U8 DXukdӰ_?nуVh4{ǃV{Á(*o`kw;[>t\_-5 *m8Y<c h^Ʈ Wĕ#85 J` s$`WTi E/{.qUnF9URB}~wEgg5 s*Ӟ4[x-_|lݾ;'P45IFTտk+8^x6\[#Do=ߎGɆ_ċɷJ8aQLt`AUq.<.(`p6Ua8Y/N|F{ & _G[uC44؀giC<;AuHj\f ~r\AzTt̶nCk2Arwy6B VU;ǧ* {XjN5f۸/18!ST9F@,Ӕ׿VNCJϔLgJ6fb S 9{i¹Т4f" ٔyi~a[ Se!|Q!ڳpI2)a&4P}7Ÿ@n8ykC<=˜O#hQUڒ9g @0Qy>GxYyR51)` FN`&11|ec߸()PuU'tmKSQtH`7֛Fp:( tZu(h:epdӾً߳UүY91g;g+pyRA<2;)2w CLSg_zZPR_ 97{QD1]8k*e~{͉!9N5.N,sa9fzoqh6Zd w(uC6h cuW2gB8Z:Ngj`l/r\Kڳ>{}.63Ś3ӣN%Q:i`"FpnAW|zxzw䋹}ajс/X@ X̺l% ?ZAh6!V4^Y2w3Gg> 썂v =6 0#El`7LQJ#3\KkKzJ˂؊ r &`7xsUl:6`s>N:Nkmsuo~ְ?r`l;r [GΝS Vg{:UV޶աk9P>gh^c{_6A/{nd:@C4P~3zlˑ~g) aNJP F&EQEklhƎ{pC")R@;P ޻fYb9`luq a:Ĝ'e[|׫jD,XN:欽'iNdeH%,]\JC%e1Z7YUɟ)b]0xc ov9/"ց9e2Su\G?6&΀zyu2ыEa{NNӁ/.㔎hRYul-_c c#U l{gW͘,4 )[ȋC"MpJ[dIgHF @;Q>A ""׺@T薠(mNGTޥH%Rh}*cq,? C%اzv8aLEp c/sH(w$*^/' Z2pG8&,o56N 1m`CSn|j冣Ɂ.—- 9)ʺ҉N B<rN9#aV"[1LPr9Od1N4q4=ce^Y !ɰ|]Tr_,ؑ}a@B;Iz S9dY4~T+yc%wKcv|ˤ%0'{~JIshͤ?d,Vl % 꿔2^ ٘# ®3H UoOà =tSN #zM+ho8ʳo, $]̛R&0Zשt1n8ej=u3n/SpFq-SmhdM:hc/K(q##5@b지z4m;}}xJ+S\p=OZW8$I>*|x=pࠢRc 9yߒGEafpcQٓb*Ǎ{g",^OG?V{25󎋣Ѐ ALl賎{\qL`3ڙ IƪǰhR#ѾV:nVZ CVm;rPerx76Ar>tۧ7rZH3|IcAw\8Ai"Gpf>Nc}'X;#sR7?Or9aYK6@XC3wp9pB6ȵn3V!<b[)/%`+ 8cdr^IzXqtˌ4] y̚pOo7qhOP~ RG“͹x3tzg⃅4"q~}Y3>B)hCFn9NDSx^F:6_f@x%fT핲gԠ9F? 'ƨO0 -Iph0s“Ꞛ? $?;>{l*MO o  )(w@ub@MFauN_nKff.3\p^ Y+ϮM~ VH^W! 'O&m`h~ؔ5\oCho2~lܶaR?.f*&d_6 D>IG 8f]W?QG08<K.6~8tx$܈eV !,c %o䎗 AzZ fqD6 IU9U o]3&|;KmY[wϿm 719!yqpsyس 3-N(=LWw}1?(dv `-_m}L~D/d-g#`:AVo~~d?.qD+]ߊoepe#s`6=>gW\8.k> `sZ2LU0-6׸ʚyRўI-#$Y'/596p5N,$ycZd3hfa_7eg:1Nd~'WO-B[̷K9N%U;VG(J~G1wQm22[L8ٮ}4ʑV0dbN]Y˂ 6,٩y$[^u 4G2[XN s0gi0T dm:OiǍ`uc pєp&j-gYf~}Dᚭ89E!Mgx?<*<Cfǚ`³|fheEtcqZ_ɼщdN0P.ӞqT  yv`e{I@]*L0M`9NOAGy612ܘ)ӸtQܰH!ʁ h!7:hR۪A>@V^kf"6a,*S 'qk3^N3S oO8<+*1S^-e*gwb1cU6d3ErwVj~Vb y.\"!ic\ϔ 7kgV!aicz B"SIXZe C΍6QYX!>D\LTA4B3/m ]5FvBʞj([{ 3 F9ǂNd nmn Gs 8>u Dhǁ8Fڐ|cE앚2X[tM 88Y4πSw">+3|-|/#:'Z]!Gΰ'f-᭡5/eOXi @@r6Kp9iV'!E:.gB[m A/N?HRgdRbc8I83ߖ52',% N k;j~+ zbh­MUZ\zܳCR%{E4w. 7UmWTHOj>A'ۧw=M`>碇qkg'R;ѾEYO=?z3x q:7({7{7gtRA@7_K4׶dhg#iwJ]˶ɼ/D '2.8vCj#47mR 5ǫN6ޞ# ;jo֍oLX}GvEBp:/Ǔgp$KY̌%Sַ^f/e84E]+8Co sC%ܚˮiiZ BTca<]Y+ɓ) :9~:~wLYQ]Be`gLe9!`V[sDiJ Zڙc'D@WrMV'VHF 6=&ɘ-w?o )6=Nk2e2B,x\,w Z?Lf;rcd/Nm䏌^,yeEs IOML~C:/2݄N<4Go?t ɾJrNܹNa=8ȖlǨx@''_:5L) S>dP>{iDHfAB3Fdr(oY@sfpCG y 1t*LQ2zmu:lvߒ^0uL!_l0ND\,"9v^wk0 8nヸE:>xID*j%b3XF#Z(-藡WI8Mn7샢Fs@m N0%t%ݨAWU]ʯsc` W7rh\0p %3DQ}2%#{bCrPXmizNjE. M6~tvmqꊻxNtO9Z9aq&חHw p7gbW8 29 " d+::d2R2'#ظȰ3LwƬ/EW)>Oꭥ$sHJu2 L'K-Vͭs\=]XEy}Z8)⬠f@_|{H񿕪Ss\WwmC0ʽ" faQx J+S G)}G9{Cx_#5HZIDS3'9Fp4Qcbs{ǹ,=?wW] JG4$O -;UVf59Cﶼh^>}ڎB?^OsbU.`a'ZG?^sPh-]ù8)`J`,'G. (+ 4O7A u ƒSKqq0oaG/%l|r4mPS0[rVy1Ga.{q@՛O&3$YH эl3d)]R׍%TN}RЩuGOMԄ0(2huO_0N Yyߥ#85M[fК= hd9צͣ7C\wAmvf9w$kl+M%5̢ItqNP/{Ļ?E_^muy:-] ]iKX;H8}Z_zxAj̐~+2g:BcT\Nbo0uiXl7) ?*ʕFJ[ Tx2i bz)'BlG:Ң379RgvZ`SZo SE3Vl"?_}/WOa^l{i5 oQU$$GoO*'e:m^jH#a) _' }0ct= RH/S.6[hiXh9Qi&Wmm);UBhs ٍlj+Gɐ@ G+ y^# &Lh l̬SAh";NqU Z =_1rd J|T{z?Yab䫫{?F VO^AtR'=sZMSlb_fq6_ d-ݷk2@1t =nzz 7dY'#I.w؜QϒNHAL̛r68صmPB5k<6j]$jgag|4sg!ܖMGQ.٘N풧{-h[E72'ӯu(иC68B9v 0ݝ3r}H,RCiVT{l-Qt|W5Hx9Kh .L7& -#VpJ7 ޵$ _n YƘovV۳R1Jq@ S %C|;S:ɏ&xqȰ[դ8`xXLi gq~xE9A&ڹ&7IeDK1 aBLל)t:iyc(^:)B4, ibC~X/bv-\5h VDZb/ p>/CPFg}F.}DTd~&CdϜ:vo0ec6Wbڍ[x.yKq[q}4\FPAULK֮4|'"S;~!LMz-S GT93`[?ixVTdlmk9k.e1' JY! (n{.Ut,'99r7gP+8T~J_.QAR^goacKTzgJae`d"V,|\gɡ t}ؑzP g .:,)Uw` KFjңg[AK/ۺbz?|< \a]L[:\ӌ&7⪭"Q!m99`#:2鹚]h^h>A ,ŀq9Ch~KQsbvQt4g=V"IUEw(pda7lm=ӬMp%4dO`è1X <{qm|S:;d("F/JF';918qIAA5)`8 d͋`m+Z]10g^C_J>5>z 4ͣ[Vc_,.7D$v-<0V:+#%(8+Fi[_p.^^؅+ q8}+_Ur\Eh' 7;y2b8IcԶ j@6{.`x7xUm褆,~ Ny5Y>NHk:#;Dq䴮kc#h}=X=QG c͉AcƨֻYoύ^do/3yuTVh{qGOcz]?m oxw!QTρa߮wVWzndb]{U+Hf5*ٳV;'e3ϒq z%`/U0,V^B2J[5)90[=ro;3Lp,r28@G[**c h~d#Fgz /E3mx >kwҨ4$> .\$vnؿ޷/vD^ى?)xzU>tu;95_nW݊ս|1v WƏ>A:&\vۯ4-\jn<<[D{T:=#po> 4[W5eٍ i&ۍ>%3 4kR:cž,e'>c<7ׂx igGqMvӬj.z /}Xp~hz72wf)s/>_dnǻ%?*S5:A_.$0xF2 y pAQ;!V{nV5@ћVsH])^ Fp %z-"k"{RdIk,[9(V%mPZ(cgSgn"iW!L K0 !MdNt*Ag8," 'Fub7pRA+VJg/Hѷ':\gINKO usE8f ,YގnܚW9%hCݵjzg0r@E 3s4i|_b,a& (/ƛ d?4) G2eP JN4*ú_F>aqQ|ImmqJycԦ9"V ] &QII@8(mv1OA5F\G(~G0@?p\-y4/L0Gh(nN353Z9}sFݬ3zEMDQ;}Fx^Fs*|<:B3óEN"g3\N-|sd$"Oz ړz0/3zlQ' e"RO *:YipUȈ، +*{myU#'y^j"kpeSGȲw߶rV?OfXZu" xr35w4jZ9X hvoѣ'?]^ϭݽDo7|}{!曉|>aw xUՑIY9юsԃ;ؾjX&_֒}O2LbV|xV‹8W3֛3Y26SS9Jz Ѱ--@\@t2\ B{ ά36D זLetR={BSW'$7v}XHF'eCG"OʛBao|A{EEfb_}}_GGkm]/-8u 0%#2z'V9Ꞟ'j*.;s{<3X8ޱ{qC,E XQZ&&*E2] ʽZ.|E sT{f DGwŸE\v;9?}hwd0„R@IDATt|~<15]P'wW+RlV>qy"`O=lq&R sp1K9(]\wYf|8=N:զ䶸V-ް1U"# y:Qug=*p }N-\r:Zy`N5Vd8&;]V%jW6߱e-SMO&GO=N^y 丶صT:H6;̞GU'/Z,8n'%~'/BE^D+!P1۶^-P6b8Q=k5Q"V/;omj:|N'5}ouz#tNZvWO:WfOMǿwZ|rJ|Y͉d}܊/嗫_WGm@?'oo(~&2>.!SdbĐ[XekֲM/ێqǮ323iu()ޚ)d'7f5 OFݶr\-DK#FrBFY{[`\@J6GW~gy|DQ\ A쓑u}[Ztz R,[JV]u=Ny>L/6d.ض wnޖjz|hLkm սߖy:ζƽV><-'АGzOFX }~@Vټg9lҐ52.XlW9ӅA<`P?;g{`K~eQ25Zf+ٖDftKsR;ɺ҂.ΛA|FE5c۲G}OtOO>l韪po1|V~G!DKC-MDPkqfI,!p`p@6m5Ek0[MP9"bTGDNX}FūlݮwG?zVK8-MnO{.&!U8+C3x#SduΓx'"@^;lUC$X1dˆe`/ed =vv S M !7hVK眣~;UT`Ebf%vopcFF-w`A %fJ0 ݷ_ 4ƹW`4vG=<H~*f<4xH.]D7[pI۳rQʔf;޿θ̑ ~/LHGk)W3l5NpDRc칏6wgsX'WQ1`m_qSt n\wwYWBukf5)oSEcτl$<+w҂jWp2_jxLT2V ~i4m5l!h| t8pHFNPcR<1R<Ϟ+у X)@#͟1!u ^m!ۤ wNGM}὘^u58SVȷ3ά\2&cLz4XYAuYQnTD[(/qcy¯z 8l̦[鋯V~8##ar/'<,RsD:˯ E԰1=NkD'9Zכ7tkiu2W;[QQ|??y<+*qZ4j'?LVI9SkU]T߇)\>tʏAE_ۭ"z ԫ mL)^N&ֲFTzM.8cI{e+,Xjq2zk9C I37t" XzErk Lm}}i5烌S@eph>;^/լxb.O> nL o+ Ȑ6Y?Acݏo&*ɺf6ѓJs &.2w9%bG ;-M O%9({V@9ڔ`Nj!;WT#`x}+˖τ&cmSbcCKpy;Apj~FC㤌*V:TfZc @ &1"{p_\M4=+R+6D5Nuj4hb&5Y#սEg|juNV,A'1[qLYoS)P_zz_nɛ`9897>lgxGp˯V_}ɟU)V 6pR?WSe]&d>?z?Os>ds#||\94+PnwV?韯>-@@dAbƷr&HjtpۿR~u~_i<_!z7\ݍ :-\jU4=]%.ӗI@{z ٛlĜiGdeOWt" 6E kjF^T"qEr@qWe5GוEx?WP{?tǫ'm'\oa<@ Z¶9(g1ロ2n+D~޻w}\U8>w[ppx`6Ϟ;zBOabc!ak"[,d/4ÂNAK[yZmeL* eMy~\4i;=Ħs4lǂo2bޥa^ $6hdO0ϙ욭cDA$yWJwh,r7 :HXNx0;]࣑_kՠXz7ĕ|/zSFH#蔠bH Ġ"w/AzD2Txl:!>S6}!&5DcA `C13?c8 yF-,+_":MN K);t^]88C :tiNA( dl73@/m]0 @W$lmM,2 8Ď*F?*\mŴ-9]v3Na!Pfjd;~҅ZS$%@:}'SLGtgxy|Weqk|D :F,aۂfax)xӭha+dk?~TaE7P^ ŖXgӂ2&ˢfƊHc"" 1錐h{4:a2 ^j9S;A6{f~0ÑL#gYh 5ڰkw];t&\+25|60lPav 0V7YoэƣpXl;@zQ G,N"آ-46dU]_*1*:c]v^i7*(ҽGhFDW;}-kre%/8j *wYKY50s8 l:O`9OG9QN[av6}ŊRoWB$GZʹڷZϩjrNZh Oz62o^e\mP^\ƀ>vg~gcj̭9d'漐3UǭI q' ơYVZ-{6GN2.Wv˴ZK0>H'rJwN9Bhi hCoC1MttL۝Շ}MV_N9jVu]*,^|`+ҳfkUt9zm 8"԰a ^MἝɾ6gC$i'oV;׳az6ۭڶVT5'|$@& hRx|s;^~Y' A&p?6W/~7ʹuk|$U~1zktW2gleX"KVC߮^=V Q=lY|pWe(~ѱ}=>-x0U|SxU[0|fhEM `$VgD${PalcN+PwL:N27G!D՘Q0(GA #8䊈x{Ϲ@ j zma: $c^$|&F$jWYqZİgSy^^vJ2:~l7"8X .$D !}?S =!<] <2l7Y;OqTb"\ymn?ػ.Bw9ƹ;'zgz̡-l+&Hj@fz`Ro+';Ybz3 [-sLKq{ 恱rWL(OF rRhnWݧ_HS^O6s͛")EV+*-A j7Kq-x`^N{@4Vqv}co9`2?ZܡoK'`Bp>ARDpx ; fQ8='j ^!d sI?S)&瘡nbd53{zBBR='%@CN9 Þ\C_f/bSG@v _%?T*頫Շ=!,8T_:'%eeQ>;72>g)R"獷1e<:!#jg.ߔn}ڋVЉ, tKsja8$+yА4FL{<~Slg;yK~2@A49c' 8ԅ)K d} h<:k+Xdb1fТo2qwN.k;> eR8. [5%Fr.8pNlciw*ڀ3|֞wD1a q ]08#uWF\Mj|=EFY0Om$#dXt-=%^oف~tԲMK=3M$=)aN&{8cO?U}ㅏ<4 A..kҟif<|50{-<[p4'5t4o&30i .d&~5prde#v~=Vs-_DP鄛 Rx.AJvn7[=K_m/bꔜ $%S`@ЋA #̙‡p,<<g7^HJ)q~XLPىK$gւ}Z[wv&Sp PM imM%854 3V0ڸ%joZtv wޓ.zVƙD+Wjc9ɵӊ~Ç{O?]=x&0_dEt縹u첎t, aGtgIDgֲjꓭ5z)| qa)sgj6:Fte;sm{jnm[d7t vȹ./zt<1n')m]Mֶϼ UߠC_ ƅ1jj 8$i1)T(:o9$Db0/+&Xea'B\D(pOjJ< tbm b)M5UZj68/cۃЗfy,U]K9Oc.٦>d8\S_ ԉp%j-RWCu1×)eHJ1O|y*g˸!jI[E 4}@J)ppъ 䈾aZ%57jN8 k}ְ9þi3{_)!%dA# jK A ʭՕ a@'9@]P}?[ QKTHNdث$L7 j!jߥ7^vtCOsyg̯gա~+B5:+C+잉Fm+ -x!<+)f|;gn v?(Ua)pzX:❶ \a"zpA>̯ F>:1G홵3?9={uI4Vwq80I[hzu V@;*:bN>x8#xRoËtkiM!w ٧vf@YL,۠* hD鲢lB\)WƑnZ1KF1úb 醣OC)~J!)hy VxBOS ZٮL(Q)W@x\Gs"׻GP9X.Q8%}[ mRgXQ F;؆;crWʔ V_QEƫ6q.ix#i٣0u=^h%P! ^pNt Fo ratz#rT92!9mOjK+&gr22CO" %p;@:bO#zg~覿sܩoFGC}=[?'{؝MR/Ϸpu5g?hM4z6'h8 Xy[ п3]b4oLBhi"4y:8y^ 6Ko0}D"쫜9r.椀2{Pk Zn%˂1ь>ZWRO{'oV~}\# 85+ˊc=yd>ptZ;9'>o*w}U']v'yQ_2xd#G _{ɂgPќ!jkd؝tlkjOVN>je"{FW%vk},~^oW O~Tzbinj}Eu;Spbٽ{?nՇ?xlVWxQi<})W8#{'pknh<-3S@vOo[>#z<<*(@-&S_y#8~6=86lؼLƛhYz p]k<;7ew,r%|5MvXt&I7IVZI1cXdd&3'[WB]5<)G[շO/07qճ ]4&4 ÌLؘ~8g]2mљ7xQE?.F%}F djuо;]>kH컚7ڄlý5*eTw"VpZ3ktJo:6|D^vw)F/>WuL&/rTGQ'0wt(EL'_hQ߽7K 3cr_|`! ah h;H4)[^X-oHC c(y}`NޑJQ81Π ͧ'ztCk. >. ,ƧƴB ¸'d@0b2&8#B㐄Ej QE&Z^_)1''Q*s4J@իUg1 o,(C.^*dx|;8Ni굢h n.ow4[)/bZ16BȣI97ʛy$fO]SY"'s"iaD͂8CO)wx#g5f(q-X}(k*գbJMJ MvM-,i˂_Qd`N&0, LlF 3>^'2ĦؚN`gKWx PZp0JcX*KAC"sfk3¼Tة}pSE4SɌ`BMk(,Jɞz~N}A㗪nNj<~)M6b ,V_V(~ L14gi<˘Rk{8k2訾S\*f >}P1%Gg\61ED[~ҹƷpQw7Na{Q?wXf^*ZsO3 j~OaM {G5GO;N5|~!~o,y4QwϜgs.44dE:%%'O(đ5Met ΢ÌqyLrwa䬻A[*$s8*E/G_8K^Le@eƦ@jS 0`z#A[hcYХ:u<Rgkz/J9ctʜ՜)]P[ZuHԱSdխ[B@okj/_|3g^7rў6#u0+p1#Jj6H"AV@I 8  ߗ|^2"[uMgckZecN*E>,*ӣR__}>X]?Ѷ P~7oi~'{,ɉ>j2dS9pR{|!/(^8o_Ee8V]i`1gcNw2eY_篪˜-䷼L`hp DIgY ;S~[.Ī? ~,-?/5al9i{З_^~Np胻bQBtN" '\*8wÓFcF~js}Y]sF+whuɍh=.SiN±.WUx9- Ix㜾h\ hMH[NaHW[CA,!릠VE|6:6e!@ц^=VC-&Mxer>:a=>.'Nrz:+w~s2Nz{>vn>~R &^򗵗foN2)}e0sk9ɖhtXƸ5.:<{V<'mLQcqrqjyeɆkdkogBＺg|4 ߬տ }_ty'p :n{ic1RY*U+]rnEet>jE zP3figتJfc{Wɗ筀<˘7;H9i+*`tû5J%-򈎬guKO^=m;ųV p ͌AaPr/Ϟr-hrYjjReR'u4d̄cp>Z^/^jr\#o A}^AG0JdL}}bcÍLlo0rU'7'ro)ǐk;~J#Y[[%Bs!щ#Ç1r(Y UYP*۷#+N"pɴ"z8k;qP2{Cjk@ jONUhl upeX WVRɆَ} ^;\Fׇ1{Kd }ucy@[Ss8c3 hzV[D!'T/xP5Z1gwɮڦ|@Ec9,9zw}SµBcE6GPMt/0xY`C5;-vo=A-)ȩ<݌뻕i70XvCq<~C`8 :Kxq79q֟Xmsv2mP-ԧxYGC# ̸}[ֿߺ7l.8^=xM _` 9gѓܣ =ytu m$tmFK [+~:{rƮ _IanB}Bl:NT d d}ߋ^UN'L2ִEN6 dGc/K/>ChWw>huT?jo7}aQ~G>Qbt_2“חc2ɭ  d]a}N1 ?-fHVX80e/ ypHFfFn 1 h楱)b<;B^e'.A>Z9F3hvU4Y׫2ɣ:^ceFE:zUM*4F!n9y6|-?p]Kv$E @v-\T<׍ijEԶZ[&rV_h 2s®mD#{}8 Dߚ YK ,'Ukfc|X ͚<`Ci&67mNKj<ɓ9(YO:j1j`1zβ+,Hi& ҳeO_U29'[y8&0,]V C F \Ya34Yn\e$i%`&P`SI%XVIA G!m?TN?MX.*ҳF0qRX΀D&FX0t&j"9^363e oB2#YYg dA(n&@ jhQ=ո'gDHI0{6ALȬa`>1Fs91FɅ7bQk_3Z&3V_ ]Gn/巳99+ oFӴW#kMAcMp.^RD MB0 ܜ8a IgEL 6u5NrQ *`J-Nh-߰cd-&Dg.G[cHAZRݓBGuqiL2T*E}h;舧/'_V3WyV/NJ-hvMCVӎP 5\(04 97)q=#W-2"Y)`2 &ψԖm Nğ]Z[ZGuot=y)iNUA e?+axm 8ӻɱqv q2g{0[DƙX,XYIjK6~&~r"f40c8½N:N EYg?o8:>3RX#'1%Xمh, $fCQ/z}aGhޑsLAV.G'YGucxސS4ozc24}sP]@/1nt&)Q|wV-#9?w֟猥߭$S}s}cs U- (BG=aFW)CS68|H=Ke3pGcڙR4JӁ7 `kЍM2Hd2ș]srA&˞jjjw(KIi_Eߙ:2,$ 9N9]4!. :x,Ef+Io<}V^QZznWyG?Ԁ-pn+ZVwBBݣ獂Ѷ翜~m] H7pZt2{ :^13z泹f,5oUNԚ[kQ+2zdd?oµ৿ 1[+x9DcdȜdOY&ZLjHF?NKP K`!\tZW OaG;Q>1wb#==ts(_j͂k1hw,4ɟ)^t5 [sXr5gvO/0Kͽ!k!zNP-zi۲bqa㽻ev Q2Ek7N= Y: >d0){$Ogd.Vș=oqcʩ;B3 S&>n)@oteP-H="`ln~ԜR'Ӡ#gLZˆ1,5\2>6{ ][79\LPqwv ؏wCȖL Y Nz/y'_]ί}sInD5;Q[G1HƠ>nԺw.7$cz%|&5JsevYgtu'wsz1=MSy1]Sjt=&]fee51 agKB+YCN]*/SZ J)XR2u0 L٥M8SiYf+P?2Q1+7n:#{gu ҿ5Vb#EQY +xIX8A0; 9Kd`4 LpSs@Xky9+hhAAJ|`ROQZ缛V}:1WhuJ?rJ3 Ӡ1/c:&=>bB%P0 d :ye%q1pqa ) ăY*@IDAT_Rbdc@A1pu"lnGX-c{WñIS o>o#4QL`\`DC5)ڪ{/^? n{Isߌ6S sN3u茮b D\3G/Q]+L6thHo>%t@Q, h2oVBdMq31v)oRR_oWPHeݎ3}J6ѽ9S?Hq~9e>?,)moC/(o>vŜ8C %k~g$5ދR{%3(E)l(Oڵlo>nl; aiҲ'};8-PY\U2ƨKųjջK*YN89j3mIACI6^6#p ơ V7g]jstouDݵv 夌3Tn452$bЖW Ms.7kgxI!ٙLGWRA9>CUKAhAIotR"` Zph!*UtY\)n=*ϡǸ vp:Aݜ-]Ὄu8 2 ,N;>EGXiGi>u(MFSiV$cgcw? }z/7.uE'7‘Kd`{mjBY}}KCd溻K͞k` %vzY(3埗AG>s0 lUmW3wKi7VEI>GDk&6[vg~btYΣAr=o%o,MxJlGǡ@0!ad6wvom$;o mԕv3Agu0`Q qd/ PЎ]GnEN6Uτ+e;djj~&{Y }ejAn7e3}XvuzE L8{WeR]` h|˃ߔ}ͧxysh?_ Ǐ 42fOҵF6|6X'>U7[{܂>8Άaϼq =``;;Z*ɺ:yVu~AD=ŲhU͞Q0pKvEl2Kf{ϢE3*YaKXk˴ mcS&x9 yEYdTgnlW!2N_u *oпt-ɴCCYqXAuXVnuQ` _i|. 3ף5]Rxt|/`zR vxmVGWBzluš-<ۙ$;1N 09m芞"F~E޴ՓWdX_@k ~&}po~Go7a+y_r^ +[`oG{X慗t?qCƈ>clP"1K[Կ Wn?()*6 #1)gc3/k"=`ԼW8k_M_]wsY $Σd+AT9)pp?ٸm6c1 R0WN0,Zl]SA[Ω(͐7 R.A^P,QH!쥟:eY5Ѭ~f ZZu)1X0Dgr{Dc{_3 _ZqId\pr*ޓ֤K9聭-MAmTeH^# !=3.:ut%xRy NINN8PFԘGpv]rv7qJ@N~/O|oG >nF=XO ^H5D h&;kׯ~ZҖk㩟~qwm`;0ì6,0/m=|#sȂSKG 4pmj,۽o[ڰ5àYfK/;}8adAgc*tQx@ؘ 8G j[j!~~{{RU#'ӷ*2o1 WrL:8%8veMP+\۫>c#j%}ExD瘐l5)O=F7t00:h}lf֕gO߼g>mUӚZ:sYO} &BOY>۽*]ZО?¥/}+8ԏ2<'~$6;QdAaSz"A 0衷!G>Ekgt:T-R!U֔A pm I# f& Д8 %Kǘ/{ӧ_i`}OO]]:Ҋ72T7tƃ7.!儵fO:zl3}obO;cY,!!/RGW}s>-P;» < A~&͞7?i)Y} ,is9} Dȁ.||>ѽ5 ^E7V=ez NoKWYtXD{/V'=`xК+%h@EoEGv1xݻ3'^y +m0$,]$ujSӾm ,(X-UgƝp>?]1l d,708h +T_u;{\ノ eo_'7[=x%ܤ91b6׮-/l&s|riZ?=DãeIɷ͜m\(itx?@yWx䕞< f[NjY# 68x'Ci9f4 VZSdlyY nh{ ]]/vƎ*a烲 ?ON_52} mtJ濫>ENc~St`\KW#^0&HcM9:~4/|t ~ +i7xE[;^;~۞ 0:ɞcR&נ݌ɖuc{8dld/M?ຎ/R=/`C m<`t<Άfx'muV>B8H+('1y+^]&\rrp}lU˪dCG|cRo8vlj7;ٍ깙sΑcp|udG:U{!=s'y^ms!&6| 2o 낝fϏ\KG_"1wa%G?*צ*JT\Ǝ;ל8v0`?DkWurZpE6 Rvxdiς \(`V~&×LW Sl}DS:xu=ujd}WgeGYկ Xț*q*?l%'p@,&$c=_]G  Xͼ'1?6>Of_*o !% &U2-J'8R )=u_c?} iO/9Ƹ ;^?Cӝe,IAڛ 0UJkm~Wg)}{n\r8Zz;B3Ϋ6 0''%)ک?$_> Wz'yςQKrQf}rM{V xot /ۍ'Cx^Țd=O-YpYk$ˇ8l=ҏl*W{`xVeƘL{jOx o&݇ ܕR[x *?wn*}]&@(7S}Zs 0?oH:| #&J Glpn \_7A`ni0-݃T_7|OrlIʥ}Dsћ{Fu~W쟞ξ_ێ|<%-2s v{XOƦg|"[D[4G>}Qga>6^>C@U}R8!\{`7pEbA7ғXK;F2w?lmqO#'P}  d_//Xd}'օJoS:C]>sOyn U9ybqkgLT)W #? 6pVxZ' '.\H1kzwa#H @{=7"ճ=?j+#JĄr0쯰OOGchNN,P\Mۇ1IBm&b֑%g0y=GGзyj ]n@KO:&J.UXĭ nNq\bpmԵt-T:7ZpZZAgr&9=SɰQ8u)o@bM^4i p̔_mӮW f:뭿V3h0htNa>нӷK.uA'>JIFr Ϊ"XFqXj@qe($g^jL^3x[ ` JI#Wi>_mpcE+˙,t8#| ^gus|E>O ɬ) WPl33,A4 ՙv b)"a+oFaq|&6:2M3VZ*:a:w; kQ|֠֌6:Gy٢#Ul dÖ 9Nn7~[eM4.Ahezk9F{E^ :.vgOS.fl0в^ AQݜr)9DZ_ V/Ālh/x8xk~St=JrU:{|)p!б0"ƅ^ZF6w:H/@#Z΀CD|76<; '[*OEsōRpo+85'c=f'qyku[K xuLԝYfkzƑ^xUiVڋG9޵ft?qܕ9\Py.gT}^ؓlhq y|)QBmgP!}fм;F?:Q2#=L҈ăsXTBr|ހ-)??jFOT~yL:XZ#:es0r`/ .{݋mz#6w9҅R >CN 6sw2^*۵( iYZ^=ג˗:*]>ޑP& P cN4wbE=yj,+tW?=mzQDŽr>-iG3@5lf\jGԭ %;Y`+q"'oÕQId2\R?d*Vet׾;#[࢒ ЭO9r\lRYr=i[xgZ⍲a0:Jߦ{&m0]Hnk`j]*97X> S(sz eY3p>zA캐@l#d^cyB lIUm@@8#;n6PvJ U៸ o7@-s~JW.{/Y:O :PhG&E {Nʲy RXO dJdÉ@X< \YZSG͛ǻP_Ws:Hv_%4,'_S7 gC |TƍY1fOwK6'PǸS~O $GpKlnݨ6&K7oᚏA7:^k|FwOj;o`JW?Yaۇ*̟G:&xmFLt y۾۸9Dki9䆼pټL=9;Gz3tzc=1{22rWLNqDmPmVVN$cG3hfz94îf I-s.z.##?GBl23k<\z|ρy7 Aw do,P sCdZ&c^35f^ϏcxZ@8`y8dQ?y2m ՚68˿No5`{M%[M!>{:8~pWS;3C> 0̬,2pN킆tSl7_Ksg9f̀[`^8ei~n| ~iǬM%t'_'cy/yIrsWh2I(((;ߦҍQ(o[lkppI 53@weѧON;w23`&UBy_0eMt) 6\[_vGϑ',%>?FDz7k%uu&EnL{jٿ KowP1 6IRv|(Zmx6Mt /]\x;S>Ʈu1/f8ϵQ`-5^ MHz 1|';{:^č,XpPlR0,LdC1fBb}DΦ'*.%;Cעݤ;G?hS9߿gs˳>ܡڿSo z>lO+î @٭'/?M/NHO?) }* f|gmY1h>ƯhFwcmEZb̷" $1BZGt,,ڍ ʣ\[?+ݟ M}Zlom d:ñǤquFK@]WtЧѹϕ?>Ve|d5EgC'rJnN$5R",cM(P ~d#;L7xs՛)tJ1$IԟH1? {7tQ=xjԇ>QTv\um[cbiR[;b]yI3~Ad-Aȑ~ݬB\HIo%jg#eqUW3`ݑ.14¢ "Vc Ra+)vDM 29B`lQWswu}ӳ,J9&F1vQgY:T >Eem&\f}aM.?&bQwPdQԌ9K>kmw)m \5DŽHQ R攄ǥz_I,rY͂G+i\RHDFg3XJ[rȓŬ|IPv> ҍ3{$9´SNo޽c]U8&xĬEJWVK\7+2'L> -'YfW8X"sC*E-U]p0xh\#)mF9 ÉP2'%:1"^W8N_}9 -6cr,lߴ4A;U3еOwK ^ n4x|IvAc+O???5ߞ~%;amko7 D?^AilSp)_<7Ovn/Y⏒$_#NFNMڿٲ 'ai'N8U&Xg57tጱH[s;47{ ]kҩ\1'>my@W96Qޜ[+^5_3w x< 8꺙 ڀnf;\]g߭ A]-qEzd4pjhb3}pJ|{KQ#}lCϒI],4ݞYXCr Il>H9Op6@xpG^3=N*7]:MX@ޯ>f@ u?eǥ6d:o ^1] c$ۤ]~ʛU,|m=Gg3YB#.Nv:[9[*bGZޜ} 3YS>yiQm~3jǟ@ ] lH^}#C7b߃/{@e?3'. W}Y:wx"h 8mY)|y tON~/ޖ3whxQ>7[ŗ+^thM4_h>Ie7pظg aippr;ri.uS ʮ2m/~|Yƞ'S5,\^;|/6s1u>]/Pm`4U+w'DoOzpR|kCw!d߁l_su֯G;=b1;V-JV(}ƕ"Bj\lHP޻e?31\=գ[]l*ޘ-xS fc_obԈuY,]pG*jIxn}O _{m;\Cf:RNNk<:Y`GK3~|+ZMQ̒nl5['}!T>d:gXY3Io `>/)+XQt5 ,!!z̴3/s0 39Y\_(mh o>Ή2ЅkM*R8`04T~ʉQ 2g&MO_MA8Zs` cζO /DX{}]^DpѮ}-^BM֬#66kـ[Ƭ7d>F MR P$ue I)7;PM:j{Nss~t9X{rK<^l)n_ k08jZ^s'"IMqUh~- 9W]Z$A[ V|` O' jG=k!J}:]Fљ,[*(ȝlVYͼs\ms*93X|l*k_9m* z1Xp?-V^W͢xA91AFV' PIwūͪKydNCNYv1Znh4CsC/Yko\7|kH7nz  <'~fAE8׿iY֢{v2N^}OZC'uu ovq߷Ӯ]ڥoxT],䴌ǥH~Nkf@H?~J fh ꙽3g[-#,2<~x=2nͬr نGs {uo+ׂٟ=gp"ãxѯf:^K{YAZo;^7#*B ]Ko;8h$d2+NV{f}zzxv,^c-&;9;!,MN9IxZ$%.=ho2(O7\4 m=oDz]N+1F4oPճw-\qx6 xS؊6 +_D=4z.ُ=R4 VVo'掇"t V N(<8ˮײ~+CKThы, R9~_R\^?NP_WgjsY\S " j|4kڳh~頃N6#hC&v}߼-~lE3Z_~eY;JnϘ܊Rl7߿{zǟq[mW`ir| B| {1~.S'ai߀_uzpHmyviR^]=Bؖ-Xk)h@-{|7t,;-98Z!EHpWēdd*W .<(^Z W~j sI5TkƵ|jyſ/e ? t*9\m>NV 0`rA=Ӗ샯7I*_}RA:a+X2r9tX-uj(['_euͿiz-0.n[o`Ӹ@ȴc%蜗OcXh9 *Kx]{J*s>ۜ ^Ʋ]ϟS8n]c<{|3F~NW-Y~y߬BNO-M6= JVi`N}/2l E5[}]PqTnm^5taf?m$)&@IDATt97û x7GZ)c əvw_9&?~ K &C0SɛE2otԷs/=I[7 ΟTw휢^Gf-(p^KULǯZrVahvgmUl\y/<9WJ_23XGnܛatŷu &s1 Z4,`?~pujpas,vsWߝB㧂_D8KБӌwl  @ʰPAp/lּz9ZP'zFu v$nO[->'l&_C 8oO6g-d?vd9eɚ` (c0j7D"ǣ16NvdG?n@^&u∾wѭ`a_rf i:\slp &d7]`ktO]\Upf@+KWnTJgDQpLVM`c64[̆V"oCAk:KN3h75> ͞&`[*X_ҡnE`zr݃:Z@h{?: ̷<~X$Ki>2 jF.9W?~O'7\0Om)i5 f.ծ_=]\:i&o/ɴ}Fdm۔!ߢ̈էke<˧@j ۯjOl3習KτHY$1{p ݏ?<=kګ&[~!;it2ydFFG%>~R^x/ɗN+ /{>_u>ּ?K]=}*/^nѷګx!`m},2)W?[4ywح^"Ëk|4i>yt-⫼ϖ]"JeΖzl?f_4/M/ړ~oNԫb0m_Q2!sisK?즱ҀY Ow$m|G9}>gfA{tO!k6Ӽ?N?:~i>9* Nՠi|=?oY)]<bHك\?;{L+Kj>hԳ)We/_=;o՞~ŗe:O~~ O,؏?GX`.srq^W/UYW#]aXw*=M8O xRAZڴ ҥ()uF7!]%f)@ʺm Օ(9[Ԇ3W;.Lp3=~4Bs T8Emc-; Uxk] q{n@J#7F.)@<)wk*98=/ ؇!iO7 J OTw@vD8*MS0jηt">\uIu9]!.Z?{ETi`,͑? R?h~S<61 x|zƮRʇ1yeD !^d[]zmM@zdh@N?k 8sGLN_rQ b}8_۱u)޷у^(2͘] .k)ē. L|م.ƻt=hV䲝Co rmsދY}C,*J1"fԍZηl]_տoF}3;HmDw pcc7@jw-h|^;#nʏ6 +'f(rG8ϭا#(alr¤_N͛go:7&Лl]n9SBW4 l.%kfpd352H-8oE疅?o3h 2y6 'klq87YQmtښ__ٱٗͬ,T}5 Q@- /2u̒ŵW''_ W"mN_6|tԞMw[% 33/qH͠=쉺6SB07 ޟ('yei- | ESpqPT(6 ; 6^^=x)iC?eCtz)LV|z#kuoiÀac^j@ Y?>"8xG&YD#(}ʻ6TOn8uV fd#>ɗn7JOH!0*z߼\KWQ&֕KD>CkrWpvy "I#7$3WDG2u#_ ?ʶf҂Σ$p9z/!}Me`~^/F65>v,rzVI:n $Wl1ƯzӲr_ `~18IʇYQ4/bٕ nܞ?M !?*XDÄS2g}3AI{]tkOK&Ar~ǬJi OYv58,B:ݸ~Y7'tjet-Kot/_@~C BЮ67eVAZgsFI 0X:=~)m1!x񸀋e7^.g·e9D?⇗ ܞ|t!B/68;po" ^ˏnewF՛]6 Vjx>2_Q/W`]$J=Jv1 zGK$OWdSw[sӛoꩢAhQwC1O/6nρZ=ED;(`tF`ff7*XPt9/=Ю#P6|1Ou 6_4h[FϚ yu֌D@@4- pAuxu/h V08әuf*EbG͆TZm[\xigi_Zo<ǘke8 L+M(YbG廷T.R4Gd/,aL83_ş`63%n=h6|A^kK{eK^]2MffITflF}\W9 GthILS~f>%s\[Q-RlEv$lEs44_{th"eූ{fMƹ IࢩYaR=eN1#1eRXbϢg Cb}~Y4 r̊9M8ɵ~v>??O>:FS3e|D6"Own`\m^ڮ[S]Q@~ T(kζ r6hJ~x-v7C#ݍ4X7ަy>CB]m|q9 4H`3JKEn0|NAϝ;2̹٨`A= ,vi D%xUQC zuqAKljQ xB롓G-?ު;P=y^xŋ ,}&2ɞv3 CѮ/`Jʴڎ|g]۳#gg[0Os?`장.(?w MWfty3O.pr-kCTmm@_~mgZP^ g=Oya#.6XfdZC7'@?Fە#0/a3p %5$3Wto>P?8>4Ku)wm`` :x젋#h B2 Sߢ.vI:A (_#=]On}2 >z~b`4=KٌNi}Uۈ[G-'os_ w~]O=lÂe'S 18!+hkl?~F_fr{]d7M[5d8cؓVj@1Q5V'}O>&مD? N1B~~ˆd94>HPo6jП2g~/0Ps-=W%!K} Iy4oΚ\O;{o V .Ʀѽ`W׷'~!MnψKϨW}. UK炿sLU&^`}[q]  w|7'ǁHcp,\/ez.Y÷@|'iD:Y>=JE$'}?f7^ ܆gd[^.Gs$&:_#|y\L|w { tg|>tt>"z.,,5m,'_]m 87,ta'pf 8T/Ny8mI*g`2ـ' mӃK)Q LSCCˁ`w@K6 ՉA9!Jr6=F1:.akB5.]e0b /'8TģOfМ^ pjߺCHq(E 0g,ߗeq@3LeO:O#:B%ǻ:@ҺJțbO2D;b$˃(s6' 'P /dx7s-7>.aٗ wvu:rV!v 0LԥQ}'\[JГ06#3_hSř `RB[9t{3JnL9h*8/߬mO`ǫB <ø(k8k1;|o8pae~̬SBchHG0v0鲫0yUX w|>^09Ƅt08:8$ @u[QPao)Xm |<} gx~(?0XDly_*/@gjIWwLpKdzsl vӽ%R](D\Pm>{]J6|1hp~h޲CIbH32xGZSX9ŎϓuGh҅ģ|?&4%w~3dz>Pet..skKǒs<{Z+fu&7j,O ELl^ajAcIFxG@FӋ-h@_1x>%.BxmtmNfvI2}X?eXIwA }F0|*;K=N۾!@&0î >֧uzޕT6KCw ~UP!x*t am]c1xuIw`+]'^MIƧ#Ih  ~beRpW[9x; vڞc]$<9,fWε}ӯΏ>gϛ?lb`} 6~d5X5m{Z&U& O'K[wT>C"Ylc#\ijFoadloLoeV}f!+oBCV??4SS C:O>dIVyeLYYs V=ʵvZ_fM.e-A8~sE`2vu wd }قM/xq'pt?J'g/B ִaL@F]o<4lҚ7Lu2PT$DŽXIuYVۀ@i'A KU)~Ru͛<ċ5`"ћ{3xߎWYZ^eA9(l9IAf߻`]N:kW94}lh)Hv;Iu2vfiʽW-' .&Ou@0X|a~y7d``8V/ 49VPxں`Nֳ۩?s[fM9"Ēw,FfT{cJ}W4ਣ25H.QīgFmA$Kn0# _Эseda=o=!X&ˌ[ހmX=Gc@_d~x7[[`e^|_`fFAm>;}q8CZ'{~uGQ`a6@ ?ɲ67~cld{ NNB[Ao0~1E #,ЙqɑaKN1؝ lO?b`mqM^#W{3>=nVeW73^ח d_Vi?Jo}%9ُA]9ݳte~ѻ?yf6ikR>`@}ɾvK~WH*8l?w?ehƧ~H۵/NvA{_?;}&[o_`}ax1jg-en.H -C^hP{y\PV`oFQwcc襫 VIB7GHG [ؾklA:Zlτ}ƴ}d W(|Au66fu!O5/lr]KٜN~:׍RUe"cv1o'ג\]u6K-/]devK binQ&r{w$B~ȯҷ:a=g8NX/4l lVp|+}/Z2h$9@z?nnLw#O}y|C_VUyl>ǫ{gbK]G[ΞֱyIgAM wͦUO0 ]|HE8ַjy&֭Z7*AsHEliS!=UIxxoiT7bC.皣FI3܅Rݯ? `bL}fa̩b4l:n61PݬU ]):0"tQ@ߣN}11S?jw4_$iu ;\x\nץ^}0`6sJ  &QolB7{O`̴r*vgX/X^сw5Y5kA3(2l=}nU:78K&Z*)Lily O^9/H@l߀gu1p=c H/ 2A5JHTPsx{[51knZ D3h&#~́ 4Cؠ/s,BF{<)zbQug|z+ڔLǤU\2 vQbp gT2ΉHIKl&(¸y@Y,qo?/ Q, Q{9ï97:j`9z2o& -Stղ#dvpF _P5 <^Y3K$6zw6[[N=| ߞ !{tďuNE߲jql"|`Q7ȵɏ kvՍ_'ɫL2At1X2.fI .elrrzA<+tӵB'ֵW8Ox.',MgN6.62Qh/"oYL3Ҽ&(l|JK(zXρ/Dɮʫx+ C_h֫~ rGy{&v6~}ě=sdTgc޾ɧԯ&zAnMf-v"F,Kscg~n3Һ`AKcՂ-Qh8V x3cd2em9 ,{SO-o2/~t?LgG"qʥI܄_4CC&nj97FB20ae+9Ԇ@<^^"8/PjV(QT68]?^ qᖎģ! gׁuH ׃Ю$ƀ\x'bxXgrjyt @d%Ҝ)mW_ok{΀P!8 .,s#G=ӷ#ʆ0v7en]RރaMf+\) "T)FY4/K"25 aH2& Zq4)ٞ[Q}/2&ӜJ* O+bQ@;glfa%I,oLvxԷdؾ5BڋyL2 ;5- >pU)@NÏ뭩s鷿5 {喝u=/6xfT˖,e9_PYRuuz8C@ӥwe \oчwr:O9hm}~ٝ'?vn.7!yR'A/ڐ-6 ǺahMmi|U]i @QCWxnN3;Xfdo&E9M'Up3^R?~xЬQ|PvM50!9q̕c1]H-kv#=pc@9.B:]b)XqKTAj9 y!{[C^2n6v2k84X9kFS/P;*dHU ruOPޡXz=8##&]e[΂8)ګw:r#uy֞5` c]Fe[}c5a)Uq2eG42?@a2ת <^2"v:E pLt= ߠU%E콹c7|}4(tUƣgתCsu_A{TG6xY]]GG uK+}nWAUϮ:bp9DxtM!';U3$.VP*n;_zRUpZ/ܥLľ4_AWv]jvvx:}r )fSы~fVO (*IJ:M:Ǧu5=)hufӔ \]J@p:PQk8;]奔[rÞG@u7_zlV HGp٫|'e.<|c~*haix~gY^`h2{^2' |NOE`~-̾c %& ?Ti_*ɴh7֛cK S\ zDۨMֽkKW6]PA?efh׽xo_'-e A<v[=SՓ:Li<)xŮcC?];؍^}jҁo-Uѿw=qkP5*:'Ғp/oCZz=? S"P;,[ȹݲ3{B}bf7wWtH+`EpncMJj8*K]C}lTOOXw^>,BP.4)ch<}ϢOђWKWo6k>fˆ<ǀÉ@tRr^1|GQ }>tfWmخ||ەkZ Sż>SSr1Weukٺ| I5G2fطck̈[#c6ƕ;[,9hH&t;I/FxAQ` U]]s?^e-g 04 \qZ 1k,{ۤRav3qA zBq/g$ ~pw- _0|GR'0ۅ셁!t`TDe͙PY^`TTݵ/qɢ'!lS}ɵ QiΓzlxCyـH>2b^ɑ.>J|1YRx `]i~̰'\߰$ݐ5|/_OOc|dHnGdvٮG:S4ڠ/=6$M6+4e ^v~Y> b ^ԍތIPmai ,) }u 1wNjG(9h Ys*NڐgY:tN.8oSqxܲɲ"Ȃ#$m񳂈c&Y}Y dLV n&#Yb }}Bf0e n >}&8}:,!2>u'-bl~ 5kB?0<9;ךmr /XXFBi+PB*>Xf$Ui{R&󁜾UfaH^K.U]YV6õEhуS>ku4}~,G%ZZpfݞ!Tj!,\4.:9=Ñ}qop'x8+$F;GRŵiZ&ava=@iz[~k7~Xzf: =;@_  -yP' .= xZ=s]>\U^Z}zTj~^ۍ[F}ޟaؽ<]>F}Ч0~?{$ILT7>4bXWtncE[+GqΔAN9:Cr?4iQ `gӽOWKǴme_/ rMm(l*QyoN:n3&Ws32 9lNb&ugtёWs;ozfLxv,2N6ᨚ(2xܓ 8~ ~{łezu}Y-$9u*q$B]q p.+5pn)H[h쑡oU=/d˴ȍ}KVX!ΥU۴5MLm\.reX|1ӭdp1^oM6z }R -!rt[|>O*'vj*Ƣ>/ǫ;6;.Xf›Nx>ݮh߰/a3i0dn߹^qO#7&/6l~LHg:͖gOk/^kc]nvk7C6fӑT=Џ}]+o/69u@fsOkj z0} ۔ʭh8UG~]υ6+Yz+nc]Mɑ>ڢyNz  "V!iTp_;m2n5q_H95%/! 1Q T,N;.?~1^1\o# d4t`YC A7(oP\t TP{73 ` >d O:=ttd o:fs/d6j'ۛDy'}e~=~ӿ$㫵c]~3:O'jGw}N797=ÉtEc|Ts~p!-ś3[_Y7 ţ Mk}C7ep;ܭ;P~|'n3֍~Ko?zăf q6_WaZP&bLV/ nMw8'T%#o |cOx^A:Y[cspq̤9>CC}Kɋb iNHG>ꔔIC" ]FԠ\'io룟q:=`WitT;& `W+`~6xFt.!ÖAѯvC9DžM¸tT$pZ|eݹ'U/5qo nllí`c98:j>T=} A!lR}/g}VaWOr;˜:97غ~k =0ßz8Na^vZqslD̚;?o߽G?Oy{~3[-QNȽ2PR>mQ+i-$@~鮷=4s! /86ie Qǿ`w^!p2xiWxfr8XAMO?eO|vlu]vxLM5p%H0?҉9Y9㤡.'[˜'S5|3cґEW Z?dK+!NI^ד{ 1? }v~Sa] /=}Si:X |JLơӇ|.ϦBCLx#ܳl QBс]l4Z5q[PUWfg9w; ,'Zs>.7˶u0Sݢr-f6[5b)ٯ+< ^ڤ\]qQ 6,C_@%Y~D]ց+w {G7.W- ߖ8=i:?FlfKglgض>ߩt/6z̆$ַ?===F(3 =xZ=>Dx'>Q ̗ LGߵp>~,}m/mQG>pWg$0=[utk/42`s^¡)# 0ub0 +$eU,b*7C+P!ik;ZڗfNs8deb c 1X$c3OoB Riٚ~E@}\6~oӱHg ;EןMl`w㤀w%qS,%)E`[(3Q)'<CŇ3HvvH|o-ҍj3v0eF)쌌kEjQkgp0K;׌t¸|mxI zY=G$m}&l[1LTH|We7^M*yz׶Og.egmL`b^?+3ڣA bTHtf)mH50J~/6s,{0_Jv 8;B /Mpn O0ﮏu7S?}B!gd&tYa?ok]ӗ_QA|חڻWm!Ψ0_;Tt5`~3/4PZ^ AǕd-5))B|S]RG9d}hͼefɥT7FK/FF#iDy ^5zN(rMpB!+!|n#}fn.*Sddp17(gzgZ 't'u <+%.>n;ފ˦gas94]:ctT+eDKxЉtƟ/Ha*Zތ͒Yd8!\uc0e깠um~ k`3EWOfǏՃ7p" eG6F3g#{ې cg؜QrE3NM*` 1<\{3l*堾nM`=G@g돓cfF6HuzЯ.C>j\;+3#k}8㱋3C*Oa^StPuB~kuioZ ]. fx_l x`|p9^ѪGƤg}RA6`o骭p@K$.`lݫw1ckNxJ}fԲ9)v, MۯL3DW9c`5tzP%-q^LݾMԎ~q&6۟h" y9,1QZвRNQojxԯ||η4Q"wk<7nSᓍSfSnm_-kV"}p%[ҋZq'l{VDRykrclԙYޠ}pvTO;:&6 :yr ou sA~KO G[w߳ 7| xBO6} &Ntр|xn &8V3th)KxY.2rt}$Sϖlc.pzmY/óIѶK_@ 90;x\fM0n'cSxQ0g 8|.RCŐ xIV>WQ~@>?^N߹u*.fI[w0RvY{EF {R5Ʋz@ ~yNZ`"^z[Vt2@z^>Jl,P 帹: W킧6^H<2>ib8Jz옹4t6pLQfx4kf pjT (_ dիӳ9;+;OkޢXTX%ȁa_ PCz7u͠ KlTU}byJ ?Lyh`Sz(UV ('"ϔe-cwVh2N8eg?m/҈>+noPS]/ad?9v!B Hb}3el36QX@qT(#N(Xp|1G=͂+}O;pFS*x7jyhMet[Cx/PтSwfڭ2E ~ԃV2.CM:ÌkJyl1N+xTN~Hヒ޳=5-Ǚ1hsaAO9=Ls?M5q уkݟ}~D'0'ACmg͛ [eD,]8U waK3@|?0ڪq5 x2N3p' S[Z HbStɿwpk+=޳>0=)>lW6~w:xAv/ɢ~ ,g@0sƜI?aL^#upN 9m{' R!k&KYk{g=č|rO^nן.7|"[ֵA _nJ'fl>(S?ॢ@s*6N?+lK:~w5PKh1WU?*^:O ^[';X~tM_~>9lmiN넳d%JY 3X)fh7=wk<A:!_i֞CN(#2M.}78W_ M٨?zP vϓ=P`pؘQQJ44^6 O: >Gg ߲DLnҜ>ը%8)f ǚT}?`P gXoWN`)v7U_s%).;6Z2;Rڣu>)MI쇃+8= s`,<ۖ Yte$l. 'd[l5R$a֖Qf6#}Z]}[ .t?У~^Nw//z]I7ʬO\v{?0` !x-h9z<=TN,>-<>@32%`Z,&~SfRƚH'FZwwW5j`7@0iJvfҝnpt?Nߴsɯ#U[hZ6v;RL3j2xTzxrN|2Fhg2ϸ >7Uv 4֟̎;-dmef$S<41^/2tޑID 0dIeרՎ,F_aӽf{gqL=&I)oQٵ5Ry~c}r Xg:UV[{{ c<+E@lԏ ~3S!8\ SՖ, ֏x]] ,d oIwұ>2_W\^@/^C >8B4iC{A4,nWC5 Vq6trGt? &#]g^ WxTﻖ ?Lї0+𑶿Cs,p7R`_AXL4w"ܑqlpMYEi..;%'q{[C=teκ=r8 MMŀm/7%}=+CU䷲cd5>|6:lԻc6J?3n}Q,o#8zf[LyUlY)~|+LK-H9;In+;큾zd$w{J-^YҜzoE >cDn QoS<1+{h곀{ޗe:hHfa)?ݐGٵP 5N[V JNhVN[4Sɱ7 4ӿ>VP2dj|;h&*To6W:`a vp{!+R?0Z,wD Ih|=sUV+,s1uV{0Sq͍^=ַr\pJu@4J(hvc?qq1Y)Y>y?`3ՑխFt]z(mud "`q\%r -9{Dor^8c BZ1Kh|"snQ@ҕ;o:}3t:fo򶿑͋NxH90LyB`V8a˘F[~4][+ge?Y%[Ap\G_̗&pVM>M)Yk@ '%kWNoGh'i}x@ tf6E4<WMJ]'^ XDȗXa3/F|yqU_b0D{?i =}uz4`6,%㻜4k^Jjռ/5=/WvUu)Nw"}up?Fr~1tg&I#R=g{^fZF~ KAPAjٲ*`}IQ/uةJ { x^=4>#e^f|-nlƧ6pR Ύٗ25J9\^\=M/wnܵvO_d=1O~< 5J~駧/fp:[ >ݬ,3?ٟvDΘנqNp 7H]+j!@g-sЀƿM7%ў C~{n׳ t};sYP*.IӜ,fuOTm5#?XlRzN}V|񌾯>yXaPIek%Zc=_>7 qOuD؃RاT /Of(?SfYҽ[vT9 :z1hܨqzZ0x Os m@Nq#RI*#ZZ7D_!!?^>26"*ix&:`ǴF&,mXF36¿{UEoNrƒkfB_ .ժxX zdnm!c z3AF/we8}2އ\E=kyҮ.ޕOCH@LVYOI[L7Ѷ~;1W ޘoJOo#`9.UoOj̸]p*R?'K{[[`Ucݠp JXd>6ƫڽwɠF2Y|x{c-[wv¿ADŽ;"%djjt2vFh*U>-%؊guO{u}{ ]y6tߓf?6{|6T٦5pA+u\΁[+,6adLkr?|ָt7IP6X}T 98|獳uA᳗oeI,иI eg:>szkR4tPWMMQ qYVe@4=9݉TׯC7<0x?Uk*DW?/ )Q 儧tEXCZ.`܂t*r3FDLwyYD0m SosAơwLں7Fכg+ &rv`PG;uI?e~kQ2gh& wT0e\:)E9aP (^ȭntQtǦ19H帓7jlU&^L ФݽKy]A q8-AG:pz^[3?fƓw$`52n' vj@ȵW7L {nOh (sg=j6S}38DqPxGLGFo)d9Ȅ-uS3@v'#4cehk}H+fd"ܚQuKzs2\}PfvA`Üqq[p^@gPnlVз﫜lF~+F]ᔎzsg5=Vzm육q4]~Ց m< N .b~|x2>E|xGQ;<:V(j疊ipxa#NrjC|I7N}M-Z!8vqNKdj(=E*̂7a5`gmU| 6oRɌ\x1+)#O=ԯa0tr/kxeTﶶki=,6~_ek{_Fe3y#Q?CZm8jWS3sX\,I`uRK %td~ԗo~@/zԘ: (֞-A׼L~t6AOG-Vd!G_ ^`LCOY{(DDڒӣHUÖ=tj:1u/=97{% :>ک+pfk}7 7uG_bXX鰮;e,|6{X?O%kV{Q+@bWA~?wqvoK!U&. .y)Z}73) LB {ܼ}7t{`4f^2IMNܨX;2Bk}s<Ӈ?8g_o R%3vUe]zMTI")t0//`H=noES|}î 㛰Kh۲.¨1SNyxN, ŧ HāHuLYBNZ~Փ~&т92 8hI ] [=-Be6+ɠk/gtR8ƿ\kJhw$g3&ؔ?=n|6׎1sSk}Xj\90I5fpg4 5twi su֔Ԙ ^I!zVMs)89dPmޔM[fOfc9 q1ja:qg(eֿ 0ŅJ0+c֝%{銌L8l~pV(2X޷֧mQ6aڬd ue ؍,YTYGA"\(Ppb2=$Ȯq1q)n =1N|k ˻k fl`utn 5AB Uc@1V 3.l؄iwGa=RcXOG (Bz =+2(ǩ R>)8ڏ AZ5 ?^,,||y2hG:MH}ʢYT?+(01| FBfS+eddsLfT QP(XL?eR7`Ek2>tm{|x0~G;7 fo:8AI3zvϷ_>e<.}/fN䝎g+0mJ'd =Iq?k;驪9x}L9-K ی{ x'C,XAtW+6/%vƑ*14y%*h+oT'^r  0kAe!b꼖c HO{4. SKw#W5Wj19;N:٦Ρ: nv6<)w#:;BPU3o E+GY Ue>.NUfbdzfe68eӅXaB9=j}z-.X0> Xҭ2#e/ \{Sm4MdAK1#]fs"dȁSTX?p9Q73dܣ덖m==Y^RU?Yt:یiJ&G':=[h:kn3=T3>w[ W^lÞOV,D}Nڤ/ xn0hxTg>HzP]>MY{oד>V5cWFJ=VWEV^Kr,shONLgY=~%!hb썵}ݯԖDt g )hc>Ǭͩ8k9%lczԬW7)L!N3r^.{|Wc8m_zQK]}6_ggsN85:&JG U]dLbϵXE cҹr:-Gi؋bU &|?NM|NHyMPGl9xe\M[ !{襋l9v ߠkC-nX_yղSkxuYG0g'a2nrV} *o<Ou$ ڻJ葙u* FFL~OQ5A\dNUrqyk=PAUf'9 [AK 3`G08C!4KpDgf Oisz pJ/:)źu,ۖ@4Ɛb0N~0Ar§_X<. #xipGsds,p^eP _[Yiƽ4LLu)"g"㛱#avΠ(쏀vTT"fP&<,2p6.̈`y.rҟU/` "["IBZ@=mS`3%ukP'I)>hPw^<~U6 EARV{qY32rofHk oM T|/;9YY}OrJWWOOoqF/K^یc"_6  Rj f_O.G&>x&P&q82Unp( rd8-gG35t)Qn!lġ=t@lcAЭ<<3B~rfFYvwbB s^Gt_ N qĜc2LJнuۑtfnj69GAaP $(>ܒ+;^_bB1G`Vz j+hYd<, eq@q`蠣CL˂dB ,z3pB^ڲ6E|UcOqIa/j;poG]{s CvsfC};:.8K?AShTOcXO^Ϻ\l'< 2L]RUP[}TR3CxA47viG+*V쫶=0W/~0#U[?Ku3nj98uɝӧΛ E/'DŽ`\eKܽsSN,?LKS{ɌeiYjv/Ye+,#gPl%A-]b#˝>q._3iir&|'D҂e9;  էjC>IY-CBoMS& __K'=>GcZE>2Yrf=9}^eW[{Ր̙od[Bvm;Mk[~JԵl`dypB(96.q BvIunzQpy11pQmZ>oSO! ~\S}tw}#g^;l].Mgc6߂? Vz`h# ]o+otxH67 #;&,\(>xэ+Tc_&6jIO7 *Ⱥ*{? , 6YLlCx"߽OmEc`&ݘe'-698Ҩ&S F3Is"p/a`yv/ xls@]-+k2jn 0=;%aX BWqM0Mvܓpl^޼Lp_qmLު v{]`uضDi$ȧ}Ovߥ;Aj}7tM!m:Y!ZkDʊ? D_ jZ'f^u|`0H# 6b,fЮ>`pg )avuJ"hjHT 29H`5[e&q%?:ғClêe3/%5>π !)YA"4)DY1@ܠrf)6[pzN㰲~sE΄70b8?>6e88ZU` #tw8q?i.M) nÄ́;^:&Cm#jzE'.c[4\e V8npf~T2lg9P ՛N00p;Ft Y` WSL_ R֋>M(ǟp yx19+pG#G3@^Fv48)Mn3U m&1z &2f|6cq_& ߕ )cןg/i6׉o~鋯\f O9Fk9x~)enfZuۥٱx  h˹`=sUA(n_9A:]3l͘˽r#0GmHvo42Ypp0Ph}cXa,ѣ3;5|Yd'_9(.#Ǒc8;]#r4v_p f@oάTAzcڔDhq9uRu  džfk.#~~G :?{1ًn.c&ODe2AڝC8ZXN&ݞ~2\ۣB0ʋ!Nc+>3lT|5NXXI[6.q,ԀKgOʬ1@lYuƚ7e?,7VgЩOܨ? |ߜoN?Yʖ'? oOz޲}R+vM5Ϋ (hCzmCk%C4WS1s~AKԷ~` 3hv^2b=|u7 {\ ?gp{m4ls7»R_Y\F+)_RNǣlW7f_;BJ26§ۿ/Msx/==o1:{S?NzW+!hTy7^}P[ѡ?k7M\Ɇ0\*[ϩl _+X+1Ld]ȾIK4|nE ez?zxϲ+헧/>@˘򋖞YPz܅ub> Q(|de[Esh1:"1Weǀ`eNG c3nDwm8D)= :ː Œ@eFh(#bջTK RJC{>g6H-י_1 )TN#IQ 7UD\Q)ި. d 8ӳQM;g!Xـ90zc͒To^.RRZiuLȢ\9U\y$m̄vv v;hE=8 ͡rmZ4Ƀ@8k!)k빣͘Rߪ@'j'(3zڲvN$:;ŬJ]^.bh/xV8GpS6Ko9U/sC%S)Ծ,#jt_^8<`|ٸBoOc 2NQn0'[o116e22>N̙#\gTe"tqN::{ei(U<0A@QrY#pN[F eYQ]Sc AϨ ƻZZqFݸWӛugs8~+7=]!+W=lJc>#ǫU/w\镮Jc] Gvdɛd埞>G/o9 T=\eME码MVoMΙas_m" .־b\<_K -qn s2막&&LoSPD}Xd8=,]'2:b|x[]5}3K:c@ߞ>J_}i:qc͚/j\?<Kx)NvO{1o61DG \X>B1;}W;4tz2 ]}ƒL\E}l[ic=^J=0d Kr}|%7/YZW,};z7ޖew\nIVCy]@3 $C'VszUC<L$#[XFhm&8}rϟ ?9=({8و Pj;پA=@7W=u4 [u۲୚h΃kѡ m>m .#R dIKj$MYrTcZ}{N7_gǟ"{hPV^]` U |RxBǹb Ôzg$1#w G1ƺ3(kD1:ʀ 7g#g 0) :;+[nc)JqQݞ2tJ]oMG|HPѦc O37@) Qf 3= IyZ'Hcl2b֥ρ36Ͱd׫ʀ'ȓҞ=0X[>\kGTB*&fK<̮[ ct(x# ķ "I/feZ;yrPx j 6,4L[@_6ơ:<pl/]~D`Y4it3 璿iS 0ozwx~_93#(_%arY %܇ GZiU'>H):io.yѡ^7Zsuf4ʓNn푵땮 c\׽Iݵ3}KvuY>D)^~we*ZJڤDch!@s^o^/0b0˜qJU˞Y[.9Yƌ~uA n+Β#Vf7QA0t''O=o tY. $}4,=f}^đoH>q_Sn6^I;O?q0ُh lSBux3+tG_Qևeإf9Oިf񠣁ė7&[pzWp,kIp8pAn)9f Q'D2Xpl2n#.~-?{mIS.h Ø4=SpimK@,gN^ ~4J֤/g>Ml#-бn0Ds5t36I>IKufNnznÛgTu鋪 )T.;  4qT~eve}퉪]->%XǛ&Pr@U.KsOe J-ć^ŠwՇŘA:ԆHu6:׿;ԧ?+LVun|Aٲxv-! P.+o[bΩ[P{h϶S^+Y>DI&(f]|[8&F9CtmcMn^l`o6_j6r7x7ژZp*{l9Or\^3lt^mK>$n6f_c'e5MZL1Y ^ËqD!/Fp'ac?Nո  2> O7֝2޵uD?jl5+7-,~e^o2*fxҏjOSA+o&I7\S~:հ YƝڡcD_y캽i`׿)_?#BGfu}p5ck'C]+D.?~8 .GPu}b$h}*u3I9f؏j3C>J]2>;6K5zǭS'tS:=D)#EgDpd}wSb#9 20n%>L1&Qw(Ms7n+sF;.w=Gne8gTsfȒ|)l_e<ܗ~Ť!JiXxxsƴ O4RݲA—[Nڛ(f#γ5+gv|ud:ppOJ}߮#)f 8wn'q̫xU?d`~7)On"]o0]2gFN p] 3Ad^W_S h0<\K(zQ#6d }ʁ{,['!HfVr]ק$ 3a7+K{V8~sQc~P[E~jq(ml EP挃kNGGcA $ҍ j+gfE݃gFؔ>}],Hv 3Ur]Z; <j2I1Y0M,-xw!9X '՝#QA ΍^'4uaCkzMu=CϪlNc' NOCu4^@~uTv:qb;H{s)OmE7OnqX풉*ApmWsy33{ͼ)~1+d'sI]k`sU;vȢac>>zh)o=vo,#0kĽ2 ?M0X=4E61e\:|o/PQP6;]c0jGmR q7 Hxthl' |ƿ!pj% { *"O NM[c7AsxNĹni6o~ww=>iG, Y׮mfՕk)+ڏMoWE=]6fe/k~t~NT;m^ۓ6F81"r._Sgt# `$3ml vYezѤ'xM.`ALBlm$=6W}AFOH_wTg]vo3.c꾚-Kþﲷp`I$"$Jz? >^A! 3=)ﯩ{ws9gܙ+W.+3my`2 i3oo.D?Q_&¡&Y&(xjWFVr >RZà vh j.Twk{r{]WrȾ:P&n*|2_n({tޣfdf)؃U3cSNwA?O}3a2I$'QYHƯW@;ћ7M{ՈH6Tv%3F/=z0쵳 DuY"PNT*3reU!`y1Fgf B A602: q4a$DdžWt #8C1t̢s8{leȶdl(QAոA&;fw?GhgK:F(dhNe1(WxE«>F٧8HC1񚵉oG FcAGg40Bq:CX"`\cN`9/ESi?h夻6.ud_vllMI=*Ff'JיөuW:xE2;'*!4d7fУN)b7K*}9)(\po4g qRS |/dD1T,uD9OS49j=Wky<\c`U(C Ju~_7#Ydp]|pAY2(CDC("&/#F lk|=pb=K^oArpAM`; +ij+I9Wr~H-5> 1gQZ7fGY 0ق?+M&a9ޥ'K ُW8 +y&}}r|^u00sgfHe3k=!GfTmX_w*0`^.@kƄ|br&*i1``@;бf|)C@ دO6Ǻ#w,:uFhC1dr}4r7zv9ᐱ)M?Nfm|)^Rɐ*ΟmƮc Z4Ǩ^j#=Ujo2dMM/fZMXha8Vk>y_2g.[J6l&R.JeH1(Aד5\Tp78`gMswb[i.:{='`z` t ~x8IF-8v,^ajn ebP'79B0FhʘGXhB1}D%m9qejsf|ueO4nA76Bu‹K`EƄN!['vQ^-|mlUȪ:#GMgowO]_/(L@Nxkl 'Vo0,)>|2r Ο =`](@{pظB̓w\#_[14Km O6g3S`# Z3ý^#hC儤9|q.tC5&M脥M:p௽  $,x}8o[~7~=~ ecc hNj2,#kPtg'?z(q) ÇWˮ5!{9JWe>s׾W/]6?A[yk"K~`f99Ж(`YnHvI9aiܟ 2s_v(z6p4gxp {QG>f4Z^{GXrc&Dח VI ^HppB ܕ:j5R -#"`lYe)6eG?xmdɈ hȴp ᬸֺmw/EC-+hv9VM]+[p]х:aw{ͼZ1;-kȺH| o@ko'\KPڌ~2.89ald#td>JotBzWw9Pg>u(XnAs9fg}S=n͉ tǩY`| 7@V6VhWC1N8<"06f; ֺto/v7£!E/^MXhZE%G>FY0xZvx ;E(xט4M>}|)?-Ͱ;^emOtxϾt;ps;RY@'j l$CA#Qk+o .,_ʫzL@KOxd 3 HTG+y=dl:uy٘O '[z_o~(p "~fcc>=o '2Nևi/yZIO *SY௢97u ?<񋿺|nL'G*wR=6Ji30Sh6q$S\.S bfQr;Rǀc{ 똾-*^Cկ? "B[S"&f;MI|!2 k-t@IDATlM* Ep+. 0 ipR7ⴃ갋e Nbnkl fk7P0˶\MF-m PH[!$[CSc%6T/@۳I`ك.e[n SldlV;fpz4n2@.R#}kg_%j6?l +GmHq:E?*Z7Rm;RTDn^5FXQg0\lVAq#*Zs-z(z|MW_.`5|IYB HEY\^'7>̞ d 20N4mds,C12ܡ8]EY}XtPi^") QxB q0׉VW=0GUKF4։ lw{ꆧ xd2]Nᢝ8X)5D ivf N^ ->>va6mW .a-gtAύ tZ2_g"gL$^az5:]~=)(K51Z^+FήRY3Z9,(cOGF}І9Hu]-*<%68-VfsMec 9 dpxN fȄyuzfI=_ƭLna4a]lUGS=EΕqtL|m4G)&ᛁvbhM`_2fxsFfC$ca)Gc?v X/$e`ɖd2=z T̴3y/t7+C-WNwcjNZtC.PPU碱I>e' rY4 ]Qp͓qE6]vH X_ūV .Nw2 K dC`뎪.ו] '/A~ 2~WP?gSk 2FeI>kbĚwq43XIyO }X9|j9ZYJַ?]<1>,S^sakUjXvFr}h Hƚh߬udloaڵkW ^^x:AΩn̲WkzrX1~Kz3@֎KC>`g#N6&&|m3 6|˪lT[/AJ@> xʅ)ߚH&<[,-B}i5ydK*]~zEE=cfɚuʔ4z5z^[nzK]ך}n{м HW'>,OK۾mw[уe,z`2LK;rr q%]w6(7!ᅔC23{wKxL]dd/~NCdx0 >g_JTm4sX C^'\'dx-ܛ2v c& XQpM㖘8.r>q^md'U9yJ{-|ozN(>ބw‡k.G;/[۟?_Wwھm6FuQe  _0[x2lhԻB3a\a.'߶7DxzzwME6fZ:昝2;uK#ֲKOlssrʽ|p?e}J1 ©z;j85zlnjcƠp2|=Pц7?s:5]wѕbSNdI5>U7>79C&V~1IJtv8 1w!Y=;&j|RpΫdº{Ul5k[:6EUG9#㠌 šu$'EU9^u3kl ~09 -Pr(J{er$fF6Y#XΖah LD"<1=$$KÖ Űg'IrsRouN R Y[_jfmwۧ}h?Y6Z`f\7oc]/nGkA;%'L̨zr,|2RlJX͚"s.?~ן֎4eܺqO#>\,cN-ڼǾ/m5S^?pfMip$9fL3q0m[K$2A,lpq'f3 ?㌨48ZlI 6KjX*u&8UၡyusΆ.vopNrq`<Зe3xj'foM䲶Klf+v L7vi {Ikx=sQT$+>2&C"f>Ǡ;Ek|{_+H!{!8}UN%#{=G?[TǰWiс_Ş:5h*T- ܐ OBjlaxn -k*iy[}Ѯ݇MYx_198k<,\kzN)VU4nj2q1 7;k^o `Idg]-ǂ A+I)ߝjg&"4sAe :l>'nc . :ebF7ɜc)E_7|K̞BUD`G#%kjC]Fx7l&%M4I~43}N^YOڿYoo?jAzqB&i&~ݾf> ۝+Y- m ms}۱ƿl;wmO$j=xhwo_~vmiɄ8Ttb;J]/rl?͖=)薌,nq쑂_m'wbO=>o`LXoU)|Xcf}'i522&>硷;`l eC#l=DMOAb9hJz+lw6{|`׽{pUf6>~o{q_m_=_\y'-!4|d/s߽&c|Y4ΓsPϿ.88vUQa1R'JB9rG@ 8KX8~mE&X@:{Yr?kC+ɥ+N|q(zھ'gz|N ؎<~f sFCv 29d5{ e[g;uĊN_Npe|83\0$1]t9^ģd^ g1r ^H il٧aIMZ?6¤*of:5q]> 쪢^`$Q)ʐ'F^\U50S1 F [V0#fxzܯSy0Th}Ѐm_!]&rI7:2rN7pttZ$޴.E5ng)n\ݹ}wzq`vە=gho'=w(3V `Nc ه'{U/8'k^N.Pd鐗񘓄*"ǐ#ZcmN#356-:pa} 'ap<{Ξ, mlU gɀ! w<YA,r\AGUp<<ȲĚ?lG}4k"j6!o7<7Үn׿*G̙w n-кiמM ;tY҆t *OQ-+V/{vMd;Q!sHO, /)+ŴkfC:Kv /KH%Cɫg0p{n&ç=#Zb;?y5f_ _wߵŎӗخiqЦy=yuaM^i. N8䐾j^o,;^?_Ec*Ϟ4e{'>mouKMj>agOmbz62-Np83|u6 ƮYGUUn<޸@ٯiٛ ][pcN hߘ8o/O':_^f,^1Do3~Oص|J0IO<[mҍCWJTqDSɴmxTv)GrcwJ!VO: vD E#)Ι%o@2H|"D"RC>&q_AcJc6fXAHdԫ۬r)~KͦBp߁ upS'GG謣G5%-Cẅ#KĜ! rcl}rm7 p🴖>)fp7;WGeFY8)X6 2[;`5ሱ>G`l1~(1s!2۰NLxia pFlOlS䋐{;04+Rq+@Ɍӕ*(0t`p'kip2cWƀMp!!`ؓ`𣛞- Ǵ.kkk<l&X6=v 貇E(эXf ɱ>kv/B4Y8Sx4蒊⋕;iwp cSǺk (~ Y!s4 lKWWZ+ku1@xԩpecT1kcͤW'f}wAgz<ɒd'0:OeP/"i?~Ez'B^uc%.YA1zZYjٝfSvRI!`co39:fy̮#˥}/=m?'P`#d~6Fngx]pӂЩ1:YȥC7"5we/>yegC)+Mm$"J:A%g@7|WEw|+PXߪl喢ڀipztb+>|%d3=G?}çf6GΗ%#,ȩksa+) tr> |q-8Gn1|t~ted8Q Z>pfJ},YؗU޽i/u{q%sWMG z>\cWSgOtYMbR #dp+0Z%)y"<=$*cd Ow?>-m?jy;8d<}h?پjFIxb0|0ۛng2|8x]mG`j,Oޗr`/AIԌ o&Eo<2tG"9')B?g݅0 !$~HSG?ziqaZ~2}:ʅN@ /g?M$fSgͤ}V@W׽? G⨥|+DN/3~6$>uy_G?}/>=U|rh^p^de[l8=gCImU'~cdk8 dbՔt+;凢Vt0 8>S+FSu H::ǹNfXG6B=$4 fGd|T@7q\i Xݵ()cw1B@g&ϺkVϦ~)L4>z`2-ŧY ƽp6e1R=)?G[3` 7R']?"淩3:Q Bi^Q\HNl<}GHB 7'!0|p`yҜ!gɸ #p5a2=LqHNOQe͖`q )|q8?Z;~ʛ-,R^]g ѵM5ڛ  ,([-\_̐0cIIv]}O9Η7Q"olTnaA&: cxԦbᨍY.+s AfC =B}[NKc E2 5ʼ~Uc O407r/1|KÉC^44W~O0c@;y2'=Cx) p=>_xgɃWݘt?N{s@ c} -c K"L4Kq'% zڱlvˆg\>ni8xq>9e- jۀnh~ >jY!kBA}V*fr햰xNI%]Bp wW)`& "=|dTę-. őRxe'; ɬzέ} 9\*ovZ0Boͮ3l}T\9xO xtx36# Ɛb70o0 'zѝhBg\ËW\4n3D`si#x_x2XYC[; $'841=j~eĔH 񾾡u~#]Y )c%גzU9|`<.;"Ss|L!{Sa)>_|%g:W L|7=70Qf=sS~ϽRfДuэ;"ܜSu*mUo xN:RU|"1m{޽G?_HW&tJ&=/m~WL&4 ^6%eK'MФ ]jϒ%GV%ou,7ڍCOd EW[4LZԳF^mg[tM6aE_X3PG%3)5*{O<>%CGR5uR/Fb7uE3 5m?"Z7:dp~{S?54䂹j7~?F>w{ޏJ_zho6M'[ɓ7f lmڮ_dkMi-ߘIKǸuGn2ag|:jvOΩ]i&,{XO2 153^b5 ?kH}3ː=UYO>Aw448+L~WdwdP6G+I޿4'/e޽':u^wlwѸڀ}=m-lMN؄Boݹ~OdX8(K>U=sL9m K3|/J?'<g[f8(mVSlMǃ=}ؿhz{s M|р\ 1 b6XeZ Y.d }VBSգ髫s;s~5z/?uB㦆VЌJF]̦&z̿?33|蛣6l♗~‡@ǜ%3p!^ҋ s1MGg2&k0fB:O`@m)nko `khà SEA=#=A .)I4d6u`&z6bKſC1~#h8HƄAhn G19ai)nz]h~xscjN;6RD_&mR/ +,n_3fs^yV/tXO7H,-PL~ E"v?]O]hH]`V:[5Vv6z o W~`k<]c8S~´PnRX| ʮZ]h_8%VeFf'G Yғal3 8ʏHzjaB-zrMS.0>U҇ӦxЬ*Zz\꙳؝Q~Mk첮 ~|1Y|sn-qTӺui͗/=A}^f{uM椊_~Em;-W]6{Pr|Y ab-YF>?@LhN6c;>.ߠ'k|P L&~߽ۚ G3?ރ`uSEcL+V4J{oO:ZF*d֍ѹo@E2ڠ*1iQe0=|Ԧd4y-V sъ`(&5f̣9 هNxaϰ˝ˍ 9Kڢ3+H!msC47}18KE|Lf}69aG $)x+ 8?7}Sd1qd+|1k${#Y: #j8I]{p@[/!+< &4 E=/@W9OJU7?V𥱙r7;jxF|Hf8K.o=|}O/>l6-a/y.bcƈ7CmrApL`Q "[ۍ^*p䎾y "1uţ,ƄMhC`n:%Z>1l:'8]1fa_v넞>f'l$4h MkchN31`(|է@Kx;3 %22&lrSSѽz6}t`,LL@? a Y 4kߩqy}BKAUsگo[5F o[gൖ9-ckYAN}=0PVv]x8m0jLFp#,6Fy/d (CekM;"/\t?dŲ+z=zζGLIɈ:L$o2G~`/θ46cW0rwJTB4etzvp.|YOTIҲ%Iw; LUtsxҫP  g?ra3j}̠W0Uq5kz:}t{X܀vk۲^\)2 @zw#YxXחNLg2xsҠq5XY"4^Lj>kƥt,FO;l"6^ޞtX ͚@6RYF«) 4 $ s.) 1+>;Zf7OI-#g'(ؿm.f# E"Myb\QvQ]Q2V@4bc۸UU|G ҩcSNaZ;V4 ͎a]}OGJ5Xyiq^aP`GpToSspN=;Tɜ@Ct]`pL2&U5xD^ )AC_3^[m &(2J-D(8qTU8$5=+=1ruiMG @>;uRө|\jR1cDA ]n!q^@75]C" kfusb)t4ܢKjiQ&6A}Py)~t>~;!: +B>m=CrIַ%^A@O0:E=O_^0%2RjLa6mxva6ݛR2d;֋zqhmՋrkbm}W~{۽;F~pЖSm)- T룧!ܕ|hVy^LO]Ǖ/`=R@kH^GKI,ޮ!ܿǝճh|pCx]NVnA˾KVWd#|g9C Os^umeAA?^ϔF/IPW+vJ9@WQgcL94wyڮo=XeץAaM#<^C=}WQ{hfkI՜N5S4gm ܣ|⋯g_E)*Jw[.prSNj-fk d)lNҙ/:n[ 1@| (z썌kedGfaN Fݓ We߾0;{AnC4N}uh/e"& fyMp҅xC>q-r"(c1}i^z tD 8~{W -hͯ?>;.éds3Eq]:rP,44m}d1{5K/u#ɘ}:ywNǮ"jebY "QV69==Ȕ{1L%}f!7x?T'NeErzjgBt9Q.UNvhyG& rX2NfQs'n)T:Y^?z}7.t og[ux;nۭ޶Ϸ nAiouM)9 +1݉ `u;~C${ty.sVWr0es:~Nv1"Tp𨥎sB><}G{n a=lөi;w_e=qd,tk(L }+zgZ|1$[wgz4:sג#1k4?n~>/H7+KGF茡@P }D0!=mL,D@2t b|%Z 'Q;3%EqzcGk*|vfC!Q;ڨuF0`v{q)x>ah>Aa}8U2ģoj:ǀpAl cR 1+fmn p8i W@MYy5QֆieOfyO(5c2<*[` dA}>8<Dž ,Y[xc 1S$1A2nW_k݃K9#We/i#\c_dC N=ז!̀K76&(fZ=8JXFlRJg2$(;>L `[ ̽ 9 "Ӯ܂N˃ hD"+Z/<$;a1+M`&6ҍ7`pfAhiN.>Hi~4~1R(IH2n3>$?C\_Fh M!3 1|5TtOІ!JO?pc:zдu k xc<3h7xCGS< , Z^g=Ƥ*|k j}wt7o݀p:+3Ob/R"+2mvq3vȑwgͺ}'_c( O~R/~:vۇ- xs nQ//^k{px~a3q\}ǵ߀5}e39|3?ƨ~ל{8kS5vPapta?zb\15{Gfbm ?E^kٍzG.4FQ1鄪'%+JeŃKg1$ƭ?fbv \kS?G/Mj0殔q?Wb,,s fò4IwLfr)n,c|O9{L|cr2c&H$WeYfѸb}ڙ=vm:Zogj6dh'j 5;/G];> 9KagzukUgEs>$@U(Xn$p ';Uߌo<9TwڇUhdWg dg-*LsBC3VqReei^=8ӌ5={\KqԵ`TuO^\9O8'c'} P&@㈫Ǐo<_}voN\;PYJГZV^C3Xj|#`A;˔`s ٱw4pT1칌|{:aZlcV!o2~NE$wdq؏*ءZ.%Mg75dž6gz3ܫ+082GR{fhl!c4r%8NQӟ0mQը__pVlj^seOprnlh1uثu^}  }^ a#:[bzlS{ޜoB{lܭMGduqlNɔ[<0`H%Wگ`7U9_3 w}Ny0ӷ21Xi~O{4^o<4- a[N̐>.ko2do&y]}gYoM|.n>߾{ޱ/No K#@IDATow/d>ݾk }^]m_}FNZ<g/vW|K @d {bXF<c>8Kw^:Q2>3 XYxnɰ`沱ﶧe=bilk89oO[v+Y-eVwcF'sʜy}-+#91$yu\wϨM "vyO'#'+h*4@ T B*̨סIֹLRAio$t(ed\ YN|(O i>F)q9އ3eȂ{XNl%rhVYta*M쮴Q&Q35l*4Hefl>,KF XdqF'XVàbfH嫏p>uH4bJd TP)dN[Xu tŜ5O/`=ZL:23gA.&c:ilsN<6}(Dͬ!0rB)C{>-.c2R63AxRm0mÂR0\U:TL0q&.k,_CCN(y^mЎfܤRGEcİo Pf~=eҵșhGBܩXm2:m9j ÅnBq5`s>FS!U"+e^hxOwƒpV4>BA/F}MX<_?ivfCZUB?Ax!J6wG:k 2kݮ@{b+m@GҫV!Xwy8AP:Tap1vPN6/>Cؑv xLf1 ˾Ԧ?Iߦ̖Hovfkwj}e{RڝQ{|rϞBy|r~k,M4J}G%f}E7Nv7S^ʶї }27K ]*+>Ԭ}rBmF1g2%_m"^$/g۸yÎ 4A±u) fV?&l_}(ʘin^334)XhO,Ga`c>}nA+\qW-,fD#g"{>NdP5&x-Uxfһhʦ{k"@1Dsz>+=ɖ08 c([>_6~7k]fmvtJc&X\TpZ­hld`arw {ےHQ +h5YFZԖԕ10 |IMMJԧ'37=݃.Vb=~F6w<'Y?ux^`I.>}vF@?Zs*ōfsߔhȰϻf<) lsl_`]kSIn:÷ 7\Yy:#>q2^sFJtEÜ3 ^y<&_l⳶8telF45 th/<8Ez>Z~51.qp xql m @`k9Vg QrF+s7S Lvl?s=]q֝? Ew3|X>ˡߝ W8,Rcdc٠]t1 \}#]BDʶ<{x=ˆpӄC+b ɥ}7'QTuPB.M]œtr|jKH$xIImÇMMD%JsbȾHO?}NN h(BfUHٜ^j067!eϦ_d 6;[قKȦJ8{9]'9?|V/lS W\l_Yx=X,ˆAt8oC{DxNh#y@ї[x|ت=X?w*_,{z.yqmaB6hn g`IN3d{6.}/[b! Y/9E.&qɃe>C `sų lY飾N9_zc=_ǗAd,}h_22dc2 2BƣQ1a'l@`1: :a HNe04P ϐCw*PBtn|adRo8.UqJQT z3 qZ ΁UH%;B}7ȞF"À(jʈSR#G n%lAW^a,X?: ś({ ԪNTpr3kbv%3f0gn/ o0/C9o44p{{mԹE }T"4v9Ge3t zx˦Vd@E_zZzQ-x7LVOseL]SG߻q ,YGSHfI2{txT+RO3NU{ 40r:|Rb'o~lJG̵xp`gAYJKt JPx IW xʈo6! _]}D r6'm%&2Xgk23{6bq^=XApSO8V[]3? } [GY meε5ڟ=b٥3&AHZ,#궮9aSCHo~4"α."睴τg`NXUvVA#Jg4AѴե"6sn:C|n%c 3IyÍ1 oL$o+|uή4d 8oC/J/3LBe488X?c\3F6v4+ gq}K_3ouҴ7gUX@ҾM}V=>(f*vz54}xʿ. _fm3R}2?yXU8e/Nu'"l.=~( X *gq/K gH(ɱyݻ2>lwkhuOY>53&5t-~KKi{sr)^.a8/iwc,#VA`e ο򎉒?3)BPwIOg/9]{!|eQV;$cc;P2R]ⴔPPBpQOםؕe~?AF#cL\T*ɒnlm/ ÀԀ1[ vp jr ` ։Hu ^{g^^{oT L0a`ki23lԶh(.8C6O^ʸ#kL2s=3^` @AK08KY }F7].G(xlHH^O0"EuZ&' Ɗc\ +14Y6 <^ l8hK==XBl:k,WwtM} N}5=wH3]8~_o}: H'*DKIw #Z?Wx=Nԡj^_nU}suyv@X{1^SgȔqEwd׃O4>ا{MZbl?ɟM?|vyf^qAΣ1?HI*XLE5r%[*Y&ZH?p2}r/2ElG|Y[a5或0t^@?θgB, b| W۞!dHmVGd?*gpw 0Ígg[|ׯhzkmgUG ؝gcqz}DY|}}[;3h>jgCNPvG P<_uDK0p|ddLCKï?4hvO6`ͫm^g+7~Q&gL\B͎L\6"3ڝTc:u c<9 ǹSVto#=6$nʞ饗L.>leǽXL/6z||r V- )|P4QVS1p~uDtשk~gry!ٲig33z?[1,(ap~T&QGgpviwQsZwk;-g xJ#U>_hZuK#gU**}h>3iŜ k.YFCMnC6<5s8$Xd jNGt=}x/:.׫?wB+Շֶn;^[f}T[ &ְIeX_ld$OCb.Eh0*hCQk\zt- kӓcL#65p~j|V_80jt5-8ĄB24U>Û9GΉ,ǃc>ot0InMNƤt/1wW= V8L2&I癓 o/܎poUy4kk)ѐ=+ם)M(4al9j0R8r[)J8(cm>wN/vI̘S0[M6B70"sӄ$Xz em WJ 1zmv(BՆYO0Nw=b,g!isP@A?(B8Ԗ\ˣp:'РlЅjIP服S}U|ɐ'vspS˙425xfBO[g7RWx$s!fQe^3\rꝍC@eh ҁ>gg2a_jTc /`:4Hezi}+8BG^E⑗~`7i<l w81f/oy_e/>"6- p$Qs M1惻{fx&oY_ݫ@ea4],9 NzWh1sdF22Tr5rjP\t+>}|hg5r觺BXWEG T^z)W&}:ob@w\> nE;+s>44 (*ːSֳh,۫%AKƶF–bЙ'S[蹿tVsPmqF){Rz)GeV`~_4Yk}9F#(*Zb/oak<SV u衺16E56Tng)[vEΞH3gI{=-hN8q<$Zz|q6L,hX7 /֭F G?>lHNO?UftVL 6wOBdGb863Gdo*kcUyY'c={c} Gl oFio>swtc4|ͱ;O '2ξ:{vighQw]LXkzp_G9h=d ׂ^d:k󔃒Ν'`•ӐSQ0>~y }xҽF-_Oc'8O Y:C-wL@W&Ș_P{03N63[,K<*3@6Уz~vG<إӷQΡɘl4v,b>L>mp}n{6O wGeW}L 9r3H{&0TdeaY7v;=.Ƀ϶o]ݰWbvLcyRϲ璘ZC_vyrݭN>U9cfxLSR-@,t2"mv x"0#~k}5u U:nɟ Hn>kNpXH.BhxQB1kZfq4;m6N܌ Kg5޸o& :H(U0N @iSJ[39KS)ើb5n1MEC; {) D54%ǓaHlNtBtLq(K5)*\[j FtR96nkz4ƾ,hf X2r Dq5 Y Rclp/x$np$l`#@`Z:>:q9`C1(!P!α |2RT2:0uUD IppdWq(nVGp9q`Q;++0I>#,nĞ?C n:=gֻ'k'~q p4n݂x s~Fqp'Q'`<?ǟ~5$ԇO׭ĿZq"1& Y͜)IC1t=яMOn~ܬ4\Nr嵎~R5[l/WS^@P=Ψ6#ܾwrv6ؿ_`i;~qt?L \kM{4V7~i=o.alnX>⫙q\]Wq;ڼNNq ~(2$6s썥}vZ6 Gu &qDDH_? ?/W =Ɓ᠓?/WwnxY7Q Q6tɈIa'%2KOJc ?aIV*S!C1qG2}9l!|d :VTREvN%cFm…] 4;wK7/8q.zǫՠhN/;_)^ޏ,ىyr-1nT{65}%en7ckE`s V/3P?ƀ Pƺ{1'f!ޮ/p9ٯ"<4Ѕiyuj:*WLW'*9Μ:wN|d7ј'gG&z^1)7Z6VsX"N&(~MZ_+D*[a5>,Y_ kGOD-ZL|xr-0=E?~ΰ<=bxfs+`K7Pm${Lv4j̍NeY@qf2#^pwSץşO_㱱'}9ٲ^#ףA5y_ D ?[c?9b#[pj1>[3u+OCka^osWd7~ѻg/v^|yMЎ_ bdfÄYZOHxx&mb,_ˮ'i=vNf--[ l4=QנM8xڦ>IK&.^\/3Nϭ,9)RD-/G/xR/CNFӂ 9s"C ha(g8vq/0s,NdKޭ^t`u՞I'fh83AAwLvY;r^Ԯ%^A&>Lͧ! k[ۺ);H<цgضpteT&oD7AV?;,ٵd}ԡ_*A(%׻^deqv7^v]u$`s%F'LP\_>ioq;U&d{M!$^V:f!ke>AH[C!(nS HC$q6ӡ]R8G ./EBqH1a~OYsܷv5[2;VI=H3h|fƅ2nj=Aو)Չb^03 64aÇfWW`q6k@0x*Z9>a& 2wW D^ogєP },ڛ\t!*Se]>Qa/ÿ 3F:r3 V m'hyctnw7*7ߘـ%(%E~{￵|k v9\}}hkmO?Yr#;oPOs9[_,jqZd'[X<\0#<#O5̍qA.~ Z}E_h)G%_d6Gg5G-&⨔Atk,.fýdto kv` \C՛LhLE:nmDq) Gy0$dhmri3σeN?Ơv%q):Q.`"advuZ:!ffQ>ُu?,lѻ#8'2Lx7z|Y]=)dP Vxpr'b"bY2ۘm,ߺ:Akf`@~;ŋ~?;tɉhgCg)85>  k@J6FdI% tl}@mt$( {غ}M3JorϪf%`z#\QA"?sj=2`Ȼ1@V[W?98Q~:kEGt~_-wJϷn^'tF^yNT]^4dC9N~S9fO  O#^$*X8BidWwGV䕊:nwo]?Yi|HZ".O +}N%Ol\i r-k4G1'죙b,Sha?nMKCH^Z|h&"z -ɘh5e0z |SP)*} fWᓯr9z&Q^ n{y=#6J(5 [1uLA+>̊یi'8oQxX0,gj+]5>I!,{tM& l ;ܱ&Ӱ{l&L|8WW}A/yN6d?lٹ[ˑu(˚> ݫ'3U:LF}//;ٔvcV`KJ \8 }0AZ?gR,8Rtu$|8ݞɠ`m1>{]>~rܺrkW/?l+6 yLhg`h65rDueμg30M[祆+ӵOPIDMdgWޡ mD4 qgQwx~Hs~%wM4׹]f]ԭ8ѰsfVfCm<}`"HA:ʍ$9FP20 u9_X2hBPϤqumU2R8 ] '`Q 6YPs4%NsENG() NY *`pVff8wh@ǔ7*ګ;ՋKx*$P'mG)3JO썮?ڞK;7>`J 3cO*ܳ+2oprm@l˧Q.@wČNy餳yA'VzR/+'}nd)ZSqtc3ec[7:B/\/UJVbUO;Mo'2]dk8b6=NpD@nG[W + pN TŬNu}s2GxYė-B+̭!n~?&wqjn)#,U` x4;eX[Ց?8{g'N^AP /پǡ4dylrOpj qxB"=A՝` qd2MO[ĸ?`l2mQC7{LA6س[ zB9hTN`/ʗz x=JNpd]> =s(f6f/ % hehvE\A j,M ?\h/ZЃ/]zam圾n`'KUc KQi;2kCt|g'|& l^rd^6 M(pD7o75+ ԐLߌ1 {=/@+YA1D`yd 4fbN|d@m`n Ȗ3SLCx}|{˟K '9:$hG*㠓Fk| 9M,6؁' 탧WKNJunw]߹luc{JJO4ix=䓯;|ON~H6e36yntdģ} pS6<)̻c8S]v/GCV<"Nx})8 ' +ӿ<{̽hǮe&CUu \_lócG/a.gk\Xɻ-} ?,ϲEvFhwC\Yie "v4FNG+]Y ﳏ3s_}k znb?I &U·WձRC&5P; @3!@5wx#]D*̦aeu#f)G6Tc# flfYփO s~(!foF%DĄOh`W9z҈"(! X6:U5o?ax"dZgy i͖(0a|WƣJ(2k*SdLĸ# @;|_jv }neCš`:kY͵O]%cY-<2ZG+}R#ms@?a̠Mץ;+Wjxs;k-o53jj ޺L}5>=“Щk}PԑjW/x0]F`\jsIIꨤfwf27^1y/^'c+|]Q9`_!~EѮ륽R\k9w87onGDT~߆w޾,|0p1nL [nlχlZu#!}fVGe0~#<&%4AH?5JWAgi e\iskɓyQ TE<9 fs dOE}4}JݺԵx;KqIFlNM2`ڬפ u +2fl&KPc5 G/w ([${ v|\p'@=sUHr<R9Z+sˤVrkx1q }xNCz?GO7Wq|#~2 BMOmQ;12]5};}t,:JRg Gێ:vK8qI|]r   0l'_NsfdeMώ㌾}x@IDAT+aw?=Ǯ_CK!goouD}^& 9 XZ+ pt A%(\uN81M:]]IuR}Hn=9֍זyVt/>h{ *kML_و Gҭb[ۗd5&m9 F;7;-N'Gʂy2' 25G7/PЈ&Ɯ@U8]f[SP|忾+zh|Ld< L`l[;y;˯QG9WG蜩 & | QkZ2g9rħ'? ?yϿɖ-ลo^Տ;;7 nfO^k7/-{w.-oŻ;r/XPC=l-FWd>]=<$\>eo"6Yߪ |m JU{S}_1F !4З F^#/7 ˖۾֜rp k1P؀44w\F>ԞzWcL:} WϷƒ@cߞ]8:CG p=duu=;Vm'h&5yRc"Dc* %S)xAT'8 BȔ7m|u8Mx1V'zQIs[k(˫ ֝TPJx%|g3#+'lֳWg d؀@HjtQTQL!}Ch ^?N<3L԰GA_D8vqrV;fahpNYݍ9G&YN|cPE ':؀ld gUG{wyu Vx}L"93`6]˲_fVu0̨0"&l="n| Eh(+<2 ~֩ÉsA(_5:8u{1QU͎̇Y pq2\9h^@m4NhscN05g/efO񧸧3^! 3r?hd.DF9/%89#,Rѳ]t_=kI d$5N{l: Y8h==hw8}OT؀SKsrpP6b%Խ>GU`eջnSe"ASjzɭhˌ0Š+*go_,^@361Lkn<n6o۩\e/xĹw~4ÿu_̓.p%42{\y}G͎OtyÎWN W=;?R[TVo9!)^<ў|fwKϿz;DTr ~6_2 x[!ka2\ilv4oi^|9O0L vX`5ӟʹx08Z#H˹އe5cxd?dʑ h2ek_qғ t{Vq'2W}@X?C8Ss[`ЌXahσp c5F".[287ffH ̭6to5:;Ē"k?zK {,x3Cջv\46[Ի6;ϱh~;G J/pxϖh۽{Ӗ]YZ`\Z:iV8yT_'~i']pʀ-[\coiagh=0/A5LU c ZxL ֢s ~mVnU率ӝRW tĩKg^B4abe!v.?qHzfYƁ9eh'4^'A ~KgIm+hm<9S]5p FAw[_Ug߆]o _zW{ n9acdv{V+Xiʺ0895P~f+s3-A&Һt>{嗁ay+Z=rd`ƼUvWmy} >9A~; k(O?[9NӰI]Kރ'#0^8jc$ǭ`V•ap+A0A ݮHYvAvs!V9C7Sx>R 2&8Jf,I@5 &?8΋-%;?;d86{%o`ۗJ{$WZ+gƯP_]O:`qĻ&{'-68*R ޓ:f;uጆ3Ð7#G>{:A+g%e_l=wcB&Ow]4{'ק=Fq;~+;"FGUlB+}j Ww= U:!A3Nܑ˳h3Dxw@?4N)x#b7{YPouLi2]'/NѵidUsQ9px.]/gf_ӡw~3/?(@,<x&jnNg*3@FEAX>(0 `g$hVۂUց{!nU&g,wtHu#i{3Q>'<],1^YB6~ |O6azL[w$7rss&V*].@]P=0DY# }~§2, ʆ݅>qQp:x'[.qs?hYb-.Sm#7tn)gn g<,25k)ɹ-|QBHuL<-[ò=41'𪽂6 .aeym]Nf;AڑAոY9:t63ؘ+7H <WgF#O< ӣLH\̴e@9>ospl7;7q)zT =`=Iq譗fgH*H)5')&? ^9|GBCbI% ֽTV 8Q ' >Q ]8^o8b"ypb'ifQ^(%XFւQJm=liOds/؊5 ]J{C a3-}P5t SDφ+0n;"264_9= &95u;*c%;4 Κ Þ_ o5JPYRW^`K[w̘v3v8cґ]q{գÎ}V*^?"QZ ^Hkw}7etDɍEc,P4O)s sSMFAᔁ6w=̽ڔ4}j8kիxB# Sەe3kѡd# @# Wh8SVLh<\yv\7;ɠ]=M&3O`~^9t#tn_,(6k'چ95+f`쪓ӋxːldIFnmTg2ge]ƚ·6_p&U;ͩ3_ :+Z3 _1ԃ00>WFeƶ2D#:P@`+MrutTgHBCu䟪rĔ:Q.xh1czrF[k 9}:@O8>}M0QX>`C_!dh" ^CH)S)ҭ/Sfgs=3ag }C33$шs63(1rXa0Icq{PlWYԺSM'ǹ7~d 6Яrԫ}aF6[O?nX38x~6E}zO/{_ԃnY[A|0{ڜZv-4Gbm(l坷ZzZ;*]o#d,3ȍ~ьw62mOښ]mMf^ XuV]zH۫[ ?Q6^٦&ݾڞ5Wʵ6s~wޏ6ԷM-[\wߩ}ӁO>QS卉I'nl:%F8j3M,ipY,h2ug}'odü<Vt2j6q aGe h5ʪ& 9ōsuwehc2 ֽp3uXUo`V2\cdQ x/JAk7]| wCAA_צf2!0{&+'K'Vv>LU}On"ǏF~L$UF (e#݂z8}Qy!h@2Ф#Co6}^Fl:될A R_ ^:Uu?5磸TBt !NJU 9L8 kW M6^>KWy[vgQBg v '1X8'=RGiz?֝3c3[^΁rVCWr {( 9ضɼگf}ߨ)?U=sLq U9-aH$gLc4$F"ʻ6 k)GFA^9ٻ3\)\ ~ƿ jJI'4֔~L;7UCW ȭ "s#Ue-Gg՚ԙ1D]2ByHQo#O`YS%^ +=N6ƣ^OW庲(ܫkؙ^A rUPp,p3)Y+ZgR00PEu |}L=h<ùLګwh28y*|7I I=R*c~Ag{3ǻxHG3nĆߏ}5gH孷of6fR[.b N wD+o gAӎx͑;O[hf|Sۗwˈt6|dYf?ci ;No3g{7-?y\w.%tl`,=k.oY._+]3>nax/e!0`:k'd3+m8Αa6_ݽ.qK f/^ڙ1<x>/xetzQm; ͂Hl)" zyXI1Nbh3ɇ[U볁l|q'?ڋ83PUs@}#[fB83nXO OL tOs1O vUt(ȭha_f8dU(7óz_&932]P1}77gtMx8yc M4Pd9it< x /FlxW#0P&BA28& 2arfoߣk%\Fސz舑hI p. 706F|Iφ{4c9ENʮyvW=֦G3k/x@~wr>̩ov';J^V2$fb,iˠwlؽt0oOY),2U{Xg쀗m{Nf}ղ+njaN}4b2xN<6=?}zZrѣϗ|%u&6EqI9FA>gȫ' $_ O #$ =cݺv2Rr)E#chqʹ#Ht\xcjoϮMzհwu5vBhWwU/MT[!qKE9|"v=h-WyjG=築0tkWгVy8ƣu},e42Ϊ]S 8B6e (҆u rW]X8f,L~->2 WgʢQ@I35Lr2Ⱍj͞`򅣀[ Ӝrxr~9V]f|lsFJMp[KQȴ'sX?' L:xd석/-^3ޘM<~1QJQ켌v_43q5LECey<]@;jB[m6lef=*PPr6ܣwC˨Fy&(u**94l3Z_tX vH3h9TYjG$GG\͈1p\`_6ɄGIV|(,:|^ {9,TYw/y- RcOY+#ФLuʺhC11] Cy V9| :Nӕvfij6Qk-Ugh_ |nfߒ-UTEV fg=8Ò}Kͦ2;5 NZ8lֿZ oެ՜~o )hmRA|,\ uù,Q#=)S{s[|!sP'zZ*A]?/G{%:7/㒹^3+~v#378<‰RGF pRxdl(p-5>oΜjVLKαhw8ɼRgN}&@Zõ(>mTvMpL"Y2ABr!;csW6"x3kꫮ~U:[ddtZVRf;q?84䃇_-7_Qc|w<}2l?Mޛo({g Zx9pdb|7yݿ!,[|̧ ۣ֒q=䖌5=u|f DŽP\}o\+[Z_ 'ڜ.ON_SNa06ſ|ި/o?K+NtZK!J-?X3b'GHr`3eDCG<04:nMg0lf;SUkԝWo @^OYZ8Y>)/kg2h׵{U|{MhfQNs x7募v' zw卝?^7_|i>wMe@@{~]:!n XsHct@-X~dcΒr Nݑh$Hs=w@l [Gw/=s9zz@_|+?:^_|RH5@`^t|ʝU7-7es]?:lĜ1AW`6P&`Ћ>|N CGd:`H,`#Ab;{թ4+?V*պF#"4ٔH=?LA@%xsNke Z3*/훡?>L 2uC3B(u6|H\A^Yq:lYMxN^-{ :)h bEge- D`587vM-QvfVoM6 (c_6j'S{>5 ڈ׀gcNĶvvQ<S}5r2'M$l=٘D 64Koi 6oN+ZFz3o~sfe8 M3&豈/vP1R~۲jazN ŗ_vݺ^'e\KѼ̭6eN{^Z̫/fKԇ-'[@a:D-sNk̾plN'Hےpu} ك3jOe 00.3c.'DN1ld8K8ha L EyA7S_<Ƈ\7sXF0ڑ'g^k58}4df̻7X$>T~添WξS.H׸2{7y^ ?3?{ 3(*uw.=Iɮ 4avYb9 7n=ܤ`Q7bJkC{~ rd)g vNsIg[cߝ|f%o ˸/xYt*h.Mp֌L =OBuب7XxyTG'd~\}~oF ,y``dq1qҿGwYu'\]?]?X^ogL/Ǟ%/>Sk'WQZ4Om`X`q1ه_9[6ѳR&B2hIKr[֑YjR<3cxVL0J"N`=h $2G4)≠! SBȰޜ19WmI |#\ tia q:K2mYzص4#@] )e4P4d`Br/o{58<ܧ&SW_6D2]%EW3xM2ڎHOUZ cèA$s@V`9֨")o6 k8ONv𝂩/J#ʕSc7GR#$'ؠ# W{a่fξn#}$@e={:ceIމc쇻p0x*Z.t<0dq2lγYdxvte+"+K(0e@4j PP?)14 &my C*2B9!kcfl, |.7p&yk kxJOֿn?؇{e  *;3^wwxGfЁho~7*up鑊kr:F>Tn`]5^e kg 5_Ce E [)F;lvyE4`Q~Tʿny4[76nwEFm/BHFxv۽ȝ_}x)(}GTxXf&3b"0$ӆO=% 7oΞEه!fvNWrέ+O&M[tx O)9>J7 Zg+gS$c5n]Tuϔ+m4xܹ|˲%iOwaD ehόQ_]hK͙x,2HY/YIH8#3?Os/L[-7Rս>mG3rM7u1;tG $ӷz ' li݃g?7u}Y?Q=Z-9r[cޯ.x%O^8k.@-NSJ~~ K>hG t텲vt[,G*:=&=nJo׻*#Y'7 GAK&{:Q 4EOPz4&Y2Q9Ȟh͞Nߍ8pZ|?9ٍ*qP` Ik@~Mg d#0Ix //}O~t_tDdAwc2 )%z8M94>p,Z@(3cvD] .Zu1kBvn^nt@: (܍Ru0e҇X*P0"܄,Ay!q1lҁEwڀx_=mhMipc0π^SfƠ <!n 48f6o-Q.tM{ o|UeDOu ch.)I'rUj;}ʞ#28-2f}&6Zbx Hfb LK9EQ-4J>Me.gCk].0Ԩ̬^Έ1Ul@X)%/7{[L^$a&RdLE~8rM.tMIk~~)vW3Pqˎe/NGyf#P2.[gҟ'l7Μ ̍ݞѾ%c/vd F͏sC c5+Dm dēx> mg[^:v[\p9"L 55ǿ/զ[1#湐a\4?Y@IDATft u dI&JZRd"?x/#A<RsdKt33ofnUhg`}H 4Hf. Be,wdvx+lhx# oխl8r8"ۚڤT fMl-=0n,ʞt_ݜIx 4faN9}?dy`Ȗ7 [zɍx^/x&?f5l3 u\3.*%\cuR[OPFZr7{k~lb:)oNۨ~cVs[ZП ~`=~}ip%Ol|Y؂ W?7|7ٟQ= ]˖8g~8r\P;`6ܶ)@-wy'e7c&ypǎb?_wn,^AkҌ7zzb#Y[ёY1jL>r0ZaԝKHpy;ll)WUv+޲P dtfy?N];k+I~$ľںͥIΐci3//} 42ӈKtuwu =<2f2Ž8][˅Qc >9'vOԶ,tzAֳӑϥۜE:U)6,g%J0g3xP_GO$On&to&(ܲ.^5ٰ h4m?o6/"Ub nOf_6XnfУN/:%gןl?^(o| rOTR}@Ul%,uV5)JxU# c3 ыn`B(YieP"Kd4ӟm&0g f~ұ~ݶ_nlzeGul#pNkǥU@1.%נw Qdtqrx[pǏ8??9GO4QsoC 甅 r:٬@r91 ȳiE38u _Dfү8v'Ѓfu8փ!bp̠Xa>3SFA9)s6GU R~]e^H-Utg$^lc1 4.L13 Rt잚b3CXmֱ38)_j45@?0RqT 𣔢 >gyUJqe3E1x8]}4{0{FV>vΤ/c̉׶Sm`T@9UY_9)9x=d`zWvhs)3x$zj6xeF ҪN`{*rڏoaԞf'sVQnSTSjnwbC?섅I)SO_cr&٧!hb. lUhc̦rVɦßl#Nd:4fӺxp#CF@r'mz60 ˄HA4(H,fr9[)κMynvAxk,К\Rly~3Fؽ_]mD*ufB9U癜h Ʀl?_n'[~s?知.Gë=zw m{% 9іo`_Kٸtkl*3OkM7z[Tz}jWKo\ڞ9:Z{ĴM2 h߸~=dvk_}fbrӗ )l胜Ĭ:(?Rخ!򽛣[g@AN/|w^Oq~Qv…ƶكlP,- 30|HJz {闘$;b(D@0zm#g`Mxa|xAtf80CY 0-ߏljw޾ (6AMr϶ Ů) ^$Go%G _ϧ`ZvY׻?F}SO2=r|88ƾNl+Zd>'49eY2k>/=:>ћ_}~Sꍮie lh28)&[t24~<W6 њjS?] c}`@J?‡D cjqdCH9*[11\~IYf#cdJCplIR=ڡC+m&y7G~sH1[ԜAXR`zɮq8<+0ouI Flv~(7!ׁQ۬7 ?ڰbһDqr2IYtCS\H|ZM8togό; ͆Cp~QX]uB]B@ Gnnѭ֏MjZm 쩙a*pfCލAhm%=گ [*99<7넫)x5)IgΡ‡rz5.n7p<~|Ǹ6K >D'38oc)Q,sXx> O(ܭ~ͭ .~nmLi%uutgOOݾc.yNͶ0xo~=o#)~ގ" 4xns{a[ff-(NVdgTIr"8@ ) aYmXh-eb?'*4&eƔgwԂ;[*8"h̲.=oisBd 2I gCc`びfbMnZj@>Id:{qF%V봫%=#CNh U= 𗮏//5;xkr . {/W->9҇Ejgg1kBגl>a s@TFc#4:uS}uG{LoL*T8Jh3/}hHNdRR`96]ńC1=f)ec63qCz BcQ,KF3o}3'?A]^ݑyQT*5z/7GW׾)LNu97N=OڌUa\w)CtJ~cbIGxqz_ݮ}ݱ坌O'eEXJ3tKb dK_-F#;3c%dl>'[;}B_}&},RQg;ԢGh3|8~(.6k^luf)@O]ʸ/ xn1O9yӭ{9u G 9%\nse(T7 Qo(pR0RH? j6# 0c#/s <3@b[|1@S2fM(<\i%9"zc7[zE]^7|]pOU 'lçrr `$Ch9}Ok~+:L <}q*Ƅ{l3~f8N1v7.@ M]ԣ]r?n䉷QSճ F2nN7n;ٱuws 81ȒOA͒;Zbd! ^Ɛ8=6{RJ'}}&/rfaCxn =c Yrt m,|%@2o}0B9Fhs-e68=35\n vY@E~=]G(/8r=fWΠkeTyMCmiY'}rEt,I(<=Fg'/YO֎2?硪ٕe~5N#>%'d!}څ}8rܽ;|'w G)D~֦PStZ^ s' ҸHDGr)e9pf#،=y?@OؑgS\:(h޲ *:zU kP:I55Lݷ4MT405PGז>\ <~雿=?|Ung]v__͠z%WtgYf&3uot{_m;,R9~=)&=KS?A9Z?/D7}>6HA3-ݠ߳g23:BLOp~0;@fL<Iwomo5׌/~&;"܌LޥWeSa8oȁ>DƋ9*TG9z7n~ߩޫam֒(L92+sZ}pA`Z_8ybNg/+ef>xhtgL .'hp!vbX&ulk6Ž[Ѹ=3&W'ݹglC6>8rr}6֤ \vnM(ޚm&d?^_#?IչitCΰ[ fR-><9c{|fvMKWe:+vȃـjv+x N*RYtbc&I mc:L_jkb,m;ϴQeY, [kN8(tР7 }.~ʤ\Sg蝪)4vX'9)I7;cbYA º{Zv@IIO0c&vlκ%'2%5z-jjQ Y^BP'2 O=T#b cOC9LN:Vxvc7 tJ\u\3~)e̠ E,+{$IQLGBPᡨ)XYjD~ؗz+D|c))/>Y `3,7#E*-#EOzwߎ="1F~콇5F>cRۀfyDt&Oq 'ps|Ѻh}fFtdW 38 6)k1Z?9 cMcX_ `zŸG'Z4C ;7R DmQ$ k`֯kϘg٥_t{/2U>BNhH Ⴏj:9ũ;Rɬ#V_ 81 wucזU~߫ԧrSRI\hc͒qMkGA'-uR~~]ea`A#3ˏYr@ǽrf. z ?UOi1g;kQUJ/gc'^|̀_~iELB^o/kmhh>Jj( =/hd %Ͽ'gk/ ًNtc} ѧO,6  a;I.-|1ףIx3dK읗~W+X[9k0GGd^֟sT["=J 8tkV؟|zw{Xy5NTTQ㤥SB6^e,17`W4Z ] oh03XPV x.=.^g&fə}&ۭ/L *6P{` 3a1h[?_vɞC>l<ꓮaOcTvo3cm i;H.\Jo _d9 K."hpeȔC6gI7)C_uzGr}s20qKwjq92(es7ًHt#$>'z:ԅ {mmCc)QQdž, ΂|z}ޣwbfpgHYxa"8~ ]h~f}S'9P~g\}Ѷ_mdV0bEkv' L08j5,i}3 0mRw})[*`&AzQmg[$zb%VZfx:ܵsIς4\+h`YRR/]Xi<>5>\85~Ak3Sx@~Yϲ3Fk~d\͞6xr2#Ei']2AH0EY4k x\UotM ,[3Ǐ1)2)o=2zX1Sql'RMx͂ 0%JNwMu*ʦ|G?0_#w5rE9xzV@+U0񅮆7<ϱpKV9pr21TMcA=V]?$Mu3~Y<ctch;|SvC +u(ı`}6,]C:<}@}pki_V'[|,`*0' `AP#N*s>I4KOZ wB@\(Mf.e0x6:Cðhf-FUH?^LV6'0%l>b}o;O:(&dIf636Gl˝ҝdL~WmOakΖ?wa`!;]l0={FԫwNl}~wy/;(]`xGKI0ey'}S{0emw)Ngש[dbUTVY8xxΓA{mWCvifƙg@A8"Y7 _11Y6YZP%\O9̼7 5D"5>?//sh Xڀ4O^2JVKʑGgtNꛂ:er{tIg;dT>)?F1+tV-M6l=vl_dn81NPbd4>έZA[![~'yeg/s{ ~+[mIm&LezxcOI6KjID1SvpUITo&:lxOu? F^2g^lxΙNS62Ge{ox{L4>=zVx~i\HXSft=>}΄O/S2Bd%9MJs Uk4"E2c?m%CcRjPĖr֥5vTy6bկwy?| XO4 (1d75p ?fyΖ2eY5;EDfmp=_eBq}~WƠ=!(DmZeB8PZc4Z>]!a240(SP3za&R$vR?S; ruk`X/1me (9oU`@: v@ڞ'~ F;}iP|%x&٬>C1I[3ڸT.pRKHTs{L❿P^LlX{B咁`;\wNee yL,Ȍ놈m͉OBOil҂g+IKOA0N&<]ꡗfn}_E/F'K pqNDGAULq^j^ݮ{DhQ`fpY÷#sïfs(l)):<02 |Aa"3:kZF2)l8lanHԧiOp8F͡O|Nײ] ?˟GY,hbç \d⸿G5kvw+Ծ* mu 5K^i]nbv{_nu 'Z{qͶEr"D&`)(Qw }QP{m QAz:\Eg c#GەW *EtȠC/닝p#0~ SKdAqdHKfVOeLٕqJL)2wd5EC{/OWC|ef0MO8uaơhow Vn!q`L7FLM̙pdRh<E/hʒه'A6|̈ /`$Ograǩ5xV]Npg6F?ZCM >5=Wf,X"@Oۿީ?-}) _줔VzHgC: .ky]R$Ls#}e?8sXL5( ]@W߁}W<9 UO\_u-''40N_#pZwoP ]QL֏=dr"M,ÙNzn(qq*86[-Y|1h8|}c}~#&K@;-;v#9(.`[dvQ7L cׂQ3$_3ks7pw) !η:[ۭ/>QkomW.p8\ }|ZGrT8i' %m4.h}۵~۵oE  0@b0WI h'kū9lHl%[KqVN]#Ʈ/ ^}qzxwz똿g{/zt*=RѾw}Nc/}@ḲZ( #tFiPZ*>_}X/a^Mem*tŃ-!p`{NQq 2`ɶ(X'c4_uun[x޼.}z>Z>_]CQ]ͺ~aW8#?չj2Z G/j{˿NUASa7.cs9z]zgIx^ы1wd;NIߙ47:6or:cah՘s>Ւ7.%^ ;B?# ZiK?x|xastQVoS,eǿ'_t ߽7»~@x]%';q4c#ݑ#+rTF1fkH)\ '#nP=jR^SsP?ywT>0%a6TNpRf ֨6>nMGaBCZǬŜ:_" M? # Z=aiV*+uQ|=i0̝.y9ff4t؋~ qY3 p9|6Za px1œ bi-bS:4SI\'LON-2k>mfjrp ҢI0l7I]D8 hDf) ɽ~ht;7p'TI_8FEÌJM~CxY; ůR'rz &3Uz5N޹E[VU8&E:~y$"^E-uj'0Xp'%p2^z\4= }E=)ESP$k?\ e{Zm ų)9Xs>1g3XUVKɎy{SL~s-|ÕpOtfmo)Rģ.DQ= #d<{d`?NҋJ?;A7髌Aۢ DkGIDs>t,s9W)Ϟ5_|U{ mQwreozlr+̹zaϳf-oD:)@0Oom}~gCKe\Aw? .]=]>ͩ3 șd['_Nvto\Mg2^8⸵3>0,git*)M`~,0ɍƏ{gN'|;*7 =bfd̲ gxnB@êe/ZL?1FMZa,f}3p9i"mn}sSߛ5$ ܃|jt2o4 $>OĄ jdd8a5\"Ɓ{-V|ƫPH7d&^:'rJ8gw&+g)uq&;fy=w"_3Cg\slʮ^\:bZ)?3(mP@!YU43+@HkHo}y횹4+ct W>z<yUqC@My/'뢲La:7|>xT7uT֦ށK pg†^uwuf7Nv8fO즿ooYJMWƦ/ӿA׻8,/2C˞~ YW;3.vm٪~0H"C UooN ϛO~Fǃ&YB iܚ{ N"Ɩs+'MTl]|&83ޱMDƬ-h2ڙ5+HzOn}Q'\?hrO ^$UN2ӻ;RQK >y 2S`n[2?,\F>j+aNSw~˸X8:$gOnEǰ图jvpw &h_եm*_##L*Urَ3i3Τ\?^f98_'3xm3h'fp1c!G3k150gbd)4zl43u_E8gS}:GL9;J| }G93^3՜j)pz+X0Jyl3{@NDCz#4h7h9ѥ1n;>ҝ7]B=3qnpi:1S}#6ۘy}w3otuoudcb_@IDAT>a/h{{v[0Ia9:5V 6yߣؼyc #=nM|lNk853/@F>_>^4Zt#Шd2QRzQ{ >{`C%jY@/jc\]֌`$OY`F7 ϹHޤ#946}R4vVL ٔS"YFqMP0zi<,!hXuexuMV(1hGL¥q9zH5TC\}W-D7Y]6K0s 5bBfYpxzR!ֵ)ԥہه鐿$ L,<{Ɔ T8^Eb^P%\U?E釂ʪ xgGުVaP<ՄN&# '~ Z UwBF ^p}-/uͻȢ>A7N0cWes (6u @QNoCR*M* Ps] updv;1ⅉ-QD5d?g`CaSk(Qz&C-&`Αv7ПA0$Dǟ/zmN 8u]mf90Q c p RS,@`œ^ty Ef?,@ֽ`!߄aR/zε8S}aFtoDSxf~4$t4Cc9^9ڪH 4p0K*k J i?R2>m>Sfmշ_ًf)75#펥ekdT˜y[F*(`$+1w"\Y:2ښec|(ڍ 1>,j?l£e6LOmuF5Б (!e(\pHI\]_k8Ggtn`>r0rՀRh`䙙.>6Hok=@ ]Fbt165h 9X/I]hw U ) #Wm6<52\@23(9.Ta6zKE)S}g! _?_L%;OxArhm&8Êr5{Or<Ɯ\1I|T[>n|s.͈ \x3ڇSYN {_̱~=3u6С>*%>\1ד2 n?f[~wޝnq/ A'`mo]n]f鄋љ 1;o^iN5FP6Û.O.|M/C^e@ ' %*Zf`~:/णz}5<$m(hNG# ݃d7!7(uwی  ",Y| g茓͈!3_FI7 *0&N{'H\09٦AZc t#xިcGV4R?rh0YȌ'=فl6Kppά|t.`6}83 1TB4؁o}v̞9ΐxgЍ\UN'jên LK8tǂUUѺٻQf ^EoWkm:?tT`^K{f M-C׊Pn(?LПk-XW)0[go[{6}suTNO H(xkw&jhtU /Ö֙aT 5eg!},:(YIlglX{ ,8Vx!,d"9@ՓnݑEr}FòeS7o/>|㿟e^Ivv%lMN6Y=?_b)w?`>p 5h (xf/>n~xvNQnǯz׿J8,yDc 2'/d(ؗ,'pfR-a.;-!<-ݱı웃S{vQ,F؈]&B}~y:[ju2 6TǏ쿭^~t7vq~cЩ6 g2v?jW ?>H_!d=7Ct__π20`rq:fpLWJ'1q \`lA0y{@fc@mmNkʃs͠pƒ`#l5B >,qNF 1`fiBEf&L}f{hmzkaKC5}Fi)$Pv`Fi/ ɵ A`nfݬ=<2ZP`Ey0v37𢈻޽t6S-袟c Cî{ԇ/=.',Y h@cN~֌q}ыҝ̄#:oX4-0f=M2a+6ZLu]ӚM_\-b)1d)z^_x8k?+ Pe Adȸ> Ws`'| "6F%\MSbQ>#'.P`p#;`]> L 览,ClqtJzznjJ"8=3o&j_A%/Oc[=%(F;go~pJF89vulAօ`ê1XuL8ـhCksn0o,G bdaiwZC/A5}ze:͠|Lƞ-_-}R9zinK K+M^=e 9eRr`%cϾ<wӿaE&qIz9z?;jKF/8z>Iv|UÆ[pHͮs3q44&`dsMeI/e8&_ G:_vVe:$?dm 6vyvf#N6 dM{M?!WcXx0U= |ɨQv g,?k2|ƍ =&s2iX8-wFtnM-uVzhS`l%p `hh܅}gUy]!׻8E_3ܪ:}B6}2@H =s} pj][5kM/Gʱt=tX}vd`53|Z#[^t)j愶3|B%i3%3#2xw$襖Dҵ@=@nZL]gM^!ϲMs>0 ]cLSp@T6fb ̻&GpUvG+hG}>3]͛w?Z٧nMfELer|r3.nulՇz}s'?~z0WgDg:Ƒs̘6kNiY~32{m&!tksmwG@/O,m~ tTy2ט9Oobm+]+kNw-T`0n0TWa0 }wq"P塍Qk Fx ^ yO.f=Uc3{t;&XGһh!UcMbMj̽ZF>dflx2mJW-0s Wn/^ pT lo};9짷_|h߈-[eɂop^z p{Ɯ#k WL\حsQwzN%Bיs`LWU߳9g MFNOڋ cS紭ou T{h=/>e*g/wOf,[+F䬌 R%j+e44$v +U9gu/ $b_łj~!KA ҅qrfYC!e HOVʌB\#mp_՛3Dj{cД=LtQ =q!P=ut5'&IU- 'N([@*K9X nуp͌η{ uvԦ*]D&׬kcδ`j PAm~xy )Q}=8? DRfbci1ɠx ֞Q# '`Ck7k.c(,Fw̢ [yHZI]'FUtM"٘٪ o oHCQHg" ] [8|>S} :B?׼dԖ,)'V¤<ϰrC>M1f`\` 1#z E1Y328sRK9_j}u՜d>ξnW{p)E/n͎Ze\X}N5ȩ=.-nM5H|s9o߼ZYo&B}],2{9vُ3g_@~zifPfɢc3҄cܤXv] *U1 ~$+LGQ{xz/_6Cex tO7YEx;*gF+!pq#pκ]W)Y0`Xj\U8UB룏AΩ2I"pq?qY ⥫zeڥSetyΑhE1tV{Lt̠?8u?:=6/z>ou%^]|Ẽ7}՗];uOS=w׵iuuU=M;PZqRvBz`}~+2E)7k+׼v\vGyϟi[7oLS]hxN[pDO 0ʩ!`ko` t,E'}w;Qt`Hx&+Io'0Ó4P[urM$XW#v5탟}#$ Ō6T*Y-3Xpʣ6~}ѯ+zOo%\MPXYudT\Ssu.[BZcȾ;>rkΣCt o 51X%봓I N5;[о,sɫ6XDno7SBMg dyN¶^;4D뛙 !:~!otJ7QV_5o>g|kҾ{~Da G/*ep)HNhUO}mXDOK}4:`'~̍';<3M| /o7,٘LNv}cFZF_97g6Kw=x'm?-no䙋F0F)= pPN җU4^QajtC<|m9{Ot_J @D׷o~I0OЌ8v*Xb^U;#Zw7ک %6]N 8DbyW_4{,Ï!z'GjK_Qu8҂|!yr3MfKß3hG+tGO /ԭ^ǬlE{$-W ψ7 +o`H{dA` f4VbsF.i9A0> Tc48SX#zjo6~cv+4,^37Ss!~І;ͣCE _mV>샏 `. Ҳ ,?y^Γ;eܭ+R?=.82 NK̃ģ{/?%Ѝ n-Ywq} w9ў>ώ)HbpO>f6}`# $`̛?'g4ae Ȳ,ߦXa@2:(عya,ۀ 6k]m, uxutz`YƛY8ԤCWXfB+_M2Uu# p;=L8atomfI3^Tfc.Nۄ2ffDmDƂh'")o<޽+gӛ^~f:6tgo:0g<+]o#seTN`!ik%}1hpUaehvw2Z߼̴'5z*\Cn={,*灠!åjt]3>wc=$"[ş:-eڛ)m(>p6/rQqǵ#[lLnDCrQ]O%ffml<:,Gʐn9^?{u@jν^վfoVM(˂ lŵ^L'xNgsxG e6 uŲ<~}WɶOිu[LkkazCNaÜ7f2v+6?4Ƙu2#mtV䧏w\.|"ۧj/>ԛ6>-S )m8YJg G;?W}N k&I$sf\f2vۋ- 1]ߏy`o9pfm8h+4DYvT~~  ث8hxo~Ww`t9CAsegU57!Lu?N؞9hHkpk Ĝd&z*ͦgwƳ|?`˖>8lS"_]x+M6<5fc@0}hm?m^vr,Sܕ YM6eB :f iwf09i\ux3%/>ij7/>Fi>ïbɱsFE9͛۷zۓm]fA636o,4_ŸnSض!=?ka gle2z PɦF~#vydwfcHѹlt3;,X0TD O8٭)E 9rekN7eSPF+3;1 sPN8ms:eTnpka6!NX7&!=C B/3QvpB_78zfe /f N(c>2&- f"`'6f]c O/2HM=6 O,XaP_3O{7< W ՝ @InFۧ5gr``ƼT_@~usj,:-' .*6Ҋ?@x6N6<_M<}=p`/k .6*DZ>^X&F~ˣec`\S!{c(E3{గ NJT.Y ldS]C?*n1fb|%k0eR;9 g@ @R%R@=:F{ $t"7$ S hbl|em}=ќL>Oǐ2C!A(F*_i$=ٮ:Kיѧ_cNof/zfg)-ovgr_~;ؤۗЮ{mީ6#n!fٿSZܟ~kmR۹;q>/E0 ɓ|ǿ3Q)EiW'ڇkiGANAYƌy MF*+/x_'Bn߇v;;|zg[m:cxD]' &H;z_ΰ (J5[tsl>A {]@3 g}CGԣ#׳+xp`rT3֫HV5FZat+3:UW{F#E Ω *Ǽ#^K󳢵T*2оG Ϯli k,Zmk)$ ~={E2GqC~cLו._H@969mJ1?gOɮtl)fd#2yj x sgvI,70Or`U Sr{8`FdN7tuUq5ֱM+}((*>'ˮ` oި_o~cC΅}QG.y h׸,0gJ얻wmWۯ?h;ߤ܏~~֚hv^v w2o)"[5f!>f5ΆGB3wgIp$8r #w_Hk0};Ï޾϶Ͼ]ԩtS`76-t9ҝqlqƣS8ąh#5AH'U Oᤓ.&3@?!q+0 'z=h}_|@ q^]:ˆv9WΘ#:WAWF(yY0u?͹N3nle\}7Ǐ#]/+x ۷d_C'UlK:}GqA>pixxy.2 71;}yI/low~Ng_LK }+ZϮmhx0E:vb`F$AEڦrvGxi^!xK|x.o=y?[1Y\D,frw+ەon?:Ǝ!ӭ1W %ѯ6^+6nek~-{W̾+0\Z-!p20#ri! "#Ej|yNxs$Eh*1K()̤Ef$΂A ^o)d:-lJ `Iщ^8d!3=&4*@Ubk EjAN3{x`Pv>9FROZMsk >?@znFupǧn3cU {g7A+\c!D\p܀$3)tcS*s G}Neˏ6Nogdg `bXE3O%~(l2 :;qn_d }}v8Hrj3l];ʟ̠9|O}>HgyHj5q2,yw흷zm `Ν26im7~l/;W8m 8J J0Ѣz-W ^?]J(c:/]Ӭ@cg' T[*2 @fwnŃ߱KMp:=* -)Xr;gLJt0kq1ekD jQ5M2Z^T'&/=fL^ZʈEdi:\|q2;f^‰/0\MY"R_|P-0X1KtD{A-cx ~Kl2ya] '$qtݿ0T0O(\YNWz .d[``h quxZ%0@կ@\ҧ>FA_xw֫BMVuBsqJD[ ќ^Z3g '+(_`fy|e򿻹|/n`rIegz>u6_L*D˞2qɎXwV*ȋBE7B؀R9k?&Q#PV-)Ksr?O0eOI[Ͳ>l __UGKCɦ=Lĝ)^гϓ[Ws̟Mg{to#f79M^<<3 k,F k6JSck9@l}wM{~$_տs:ӃhQ oQcѽNP7 zo'7߼6?{г6G5^`'&*0Qi,-_ ߔV?؛3 e<SdƠl+$4? a~ٲɓVtR {W7usLl홰6Ƣw鵰leIO_sgtt0ہS0a`>`x..vܝh0x# ׀H3Gj RD(E9̬J՟REfcRT`(DAWeuLT!Frf0t<V)b^FbӯY;GXҰ^'1%cs#uC*LdP ~i 5cŋqsC 6t`_ڭ/L_Jivݯs>n@am<j^91oSc)Ÿқ.x.ի9 j\(-N_L@fS攎(_4ћe'5z)_s\KDe#iD}`<vB32*^^2H*Jm+0nm)>r>d6hZ}dI9Q0CsWy::P_Ѕ[OQ z >8칧Ç%7v^>'c ꫪii$X1xOzO {do=6t,ǩ}9uVΣ_sSgL@1a^`T7qόs'm,@\ǐrqgݒkEk륕]op'2cv< @ 6A!la:LJ৒o{`4mc`L?=X>)UZsꗥg<&uL:eɨ ί OS}% cpU`[,]&3!ۡtgU+g ew-=83>U .³oa.cӳ=o\s {"hW`~Lxxtc>a ֮U ?}NѥSH2ϩGyv |-bSr۴ݞή9-pN6ە/=hMVap])vJ:2񻶀?66؛h(CzΘ2t\|r6rd Zɯ:% Vo㫁b15:U0WkdCIQQo\~σtm,2V'ggc>g,T.xO?x'm[ޟP~@|@*gu938qo9^< v+gW2߃<gzbYffӫo7?כ~GsKWod6%}PiZQ;@?Ik:l>cÚٯdρM<7ˆ`.I'ľne oj/ʖv4z{ `qqwR}__ 'ctc8ƴQt=Qw=d]i6vslYS]6#93߾{7;Ev,o w:\$H-S%(X nכ_fI@]t˄&L[m%@ QkMD(g _k#]3>FP Q{3s.!LJYs ԥ[7n߼ʾ:ʮ:j Lj%yK〙>t“'O}/2(R ^hy8&*:Tnѱ@i;s [tf0BIcʆ u8c`xU)"fćL/Cldef0:bյ/ebi;"c,]hTA )taQ_νGZzSHRK:choՄ xFy1ܫM x8 EeV9z(99SC ڢ 'W91(ǚ o_px5C窟 ZhP9sV^cz<hʕLeZmq#m_)RQ19ʨ5`h7|+>qa?9'-^1 z>Gn:(A0Y.`U;[ !(E9KiƑSFH]Z7|酿{;SnRyi Ne&QA8/e4x CY[U!u§,7&vz~r{sxbs \xaff]O9ne%u&w[Y &@IDATc( SUv>aeTmԟNjEpY ٍnF3jH7<|_ljcɳݣ1n_5dHo1mƕ4eAN>ocO('^Zc5s:'0)˯߷lYY{aK秬TﶉV8xF먙{X[D}?dç'k@9;ʨ| G^@dTc3uTSfr {1\]'({^p\{diIk:\$t!gg)tnE0073:D1YVCvŌ8`߫t3s?|zU׋Iُ 0c/2bo:LY5F>C2\7PrZnϭ X\d)Dl\j NJ`iHc.g,X2U*R~z/4-"t6gyccA<ܛ3t [jt%pL5,1 /e l?|eF4# <=hL} ܔ}`g,^Ev+Sl(ulq̚S]/~|o~}[Wҹ{mk|ll T(q/f^}q-(bo{JIg׃EvU޸u]O A&,t-x-Iu/0ZLШkuhcCxWzEk^.Wߣ3hU}o2AgF3Ec%&!M h;؟W4Jcfe ٿ/f8_,o&,\R/t{k`&/xks9| `[W ǜ5nu5Q];hԳ̴/W[O1NqMoT9b $1ߴ>iH;36Ȳv:`pO0cʽe6aZ'R_ _!&}AHvκ] 2h ]k#쿔~AsQK`KV^n+0H Dև1cܽpy)?Mޥ>/3f#[}ҽwf rhBdK7(5Q(_`ikDqSx2b;~'xx4o$K1ZRv0T94HY0R=BJڇJVYr;\F5w? Diw=w}YKw=vg15;2,?}8#3Vw61/&6#PnnWIOMU`m}_y gci;2U8,n Wko/*ˡ{qE W2d LJ8 v|Zg~26QUĐz :[A1N&dCٲ߅ _ו]+PNuν 's&sދ oF@K {ٽw5Kоwۛ@σspcː񷉐@'2.oel>|e6{ކ Q9wwjw9tX~]I sa>\L> \Ka3.'zW? Y!Tgjm/“_ E;zRiӥ1 n'gdO_c̤2>iƸ X8;s B0d3ǒk'C742Q3M}xj u$NrNJϒ^3jzf9ᡪ_sdd]-9`Sҹ R,c{ dJ5xdJ``ï0|jM5zht\弪"l2oxv=`yسe9&H`WʎAPz{>heJw)JG_*|1N番r=;kS Voqx>#5AԺway n:2}uE\n'xW?zFM 4ή`M]<>ѫ9g#os?T9[n=7>ɜ~s@N{.gKU#G=~q#`o"^} )qi5H˟o>&6N;WZ:NFJL lpx:j{] ӿ:PxnP! t om5#wa/,o7{rROjz{7_?u" [$&}֒<`~~sdx?d}Ssu<(y"34CmK7.m>?\k) ǖ3V>j!Z<tGGl^?[^c /ȁ!͖s|9 R؉!:cp;,<4"uqC"cq!N0DfzRor xn)'~Mcf0 #5t3{q~$x0 :$DvH3s)͜jg| fw›֖)V`;&aJҺ쇎9`` uzt1π-@e`x3|֌6LZz@0' l2 vdg pF)L}^"WA|8g(r4^'~MV-wfǶ)$psp&F LPIw1[ىz7 .˹~fg4|?͌|!-5HlH8*tz6Yqg^ξ͠? F6W ) ~Tۋ1΅AGcj 12jwaP2j 2}N#z c y6UIl}zn2;վp|F'Mu;NwlҷeЮvW:]{ƛZ;}Ϋm .U|\4 Zn1mRf7Sbp!V0N*~sl@Q`]kIQVTNcOs̀2n$9wr&5a;v?nv'?z/ԷX޹}kN {OͷZp7Zwڐߝ#5SY1}pE0}J2RcۙMf3W[{`YO yqBoYƋ/2"༚#=dIYW9ڳ@Ǩ n-}\vߚ͞;b F`ףdPȬpx:a:3rjӍf.4r\ b"Yɐp| WtBLO ݠif _qz"L)>t/GN:zyA5K݌>ZvQcJfa}иzW_mo㵗h;]ST%|wqj} 19TN}\VI)޵?||3Gzq(G'V 0wmwZu+~F34uEoO)lݙߓ _ϝOL? F׹Nq*U7LɖYMؑ64ā;\.;p,;޷Y~n K9G}3wUl/+K7U"4{ .e8\c(PÛeH )X,щu,𳇛l ir$ɴh.XjLFvsN FC4zL` !-#@N/nYXR`ll'de'M)rX{o6U6Dd3R1k:fĩ5 xPa7!bqe_3ߌL=$ u{e`7D8 Wg E&*')Ib TIa>1$%ׯ# !F1q|M fC1 ;1/R}u:_mIɴ!FF`kM ,1SZWcw9ֈy3D55} w/-x\7?GtC0>m2)#0) QuΧ(AGh,$ʅk4`G+*͢-,A/po9kv/(.¥Dl=GhFY4L9EpNPZcf 0SLI2`,(*#8t<2xTֆjudԋ 5`1K\zPܽuF7.h6LvNWg*#LfXӜi jLP%fo <ޜ35u t% 9ܘ5=L5֗>|Ak d$l5{/HټlQ2./7_1ϵ~:.rЎT7JuC6liǟ~[ͻ--SEsvg^jw)(/Ő]D ?qхpµvA_3V( VxFs5e'B +*#A6Jwuɝ 2 gJ7u׆0n3$q7cZF3Ed>C:&#~qS2:Vr|OG0p ]8VHg+qpYIc$$()Ro{=\*{> VȫL7zWqz n,^)*o1AOnjEky[3S_}ST~ ZT_p3vѢCƞS!8ޠx LNx=?W̅;m3lfæf7` {tw".̸  8fנ- "Ee_̭T&IJSrJ:xDXWvxi4F<=lp,<%8q|0뫿/~-ݿ~(}&3V/scY#>:dtxl/jvd7Aw7l|1kV x}T7Gqx&oYkʹx}׎%W&>6$+GAp\QvQ˵^.CLo߹o>Wn~Oڠڽy>y0x^Ԥ;&ZZ8]bgaxbtNF/4`3L~CNKp{l| q0йj_ucqd@0 @EQOb}Lz52|\d2Q觮M5҉٘N3H߷OZrjɚz?a N< eܸvc&O=ceٴ2)( z_y6}1ן2;E%K*e/:mm'?Z2µ;n4N>h)g,Zf}stO :Zظ@ !-E{p1L^/B weܺ3^Gڰs?=x3n4r!+*?۵ٿ^,~R׀Աk_mt?/ i"ܥy"j(lMlˀQk _ Աq@@!ZXaZ3[L(|M4ڶ'\Q -G3D ~3&jSL C'_7%.%T@ af3HI٦nؽmS?oIA w !(rY=+@19cKto,4,Iѽjq_۵&]1zIި|'5TjTqTj Coe"Wp}_r%Q.,3h#s>uҹx@e"V&>!1@M? #7i!"5 _EympFL3 b MԴcM:)E z/hB|X{.)_M Qy  L(;M$#A YiM0ȉ}/ t)D^UnrdWUWVA>RPɝ#ʖJؿA3]HWx8Փ3F~z!}__QQ|KWxeΚ,[Ч.<$+dLeo*2.uL p|$j=o0ؕƂTtg9}2ECg!۸oA1}`8.e&lLk~zD?-79W/=jCg}fafCgҎb*5X~͹.{c؅pZ{t ̰D5F =;/W} I#_KKGzl k~h3WԆ:n1ĸ2~O3y->ps%2I;Odf҅ 9~ 7w:LKtɜtz=&uU8&*r촅Y]:5fBWBfQDwc'[A2 2b,T@"^z+CoFlf^}z }S/K%a4SiK>G6?G߼, RݹFq, ^l7NqXRh\ŧ,dSQ ݁wZ9LOiYju-oܸ FwL0::g[N519%ټ5 m,6t IL)uz=0y lZ5uON}Ssˬ=ζ}p<PRoeU>^&&S.cf[_m{2c#| „Yw2o^Apƍ&ݑMR*o! 8dgݣn<|3',/l^9i1>(ݸe/m%+w8Soŵ\w)`/ =*9z_+)粭G6 m*S 2~ң|sw6lpQEw}A>mh[=7غq{MQ'2 'rFtO*4E !dv640Q/&z-MEm:=ngGzO3TS=@cۜRXsҦTw+s](u`ZE@Lr[fC"֕8N0X~8li:7 AT!gw1f3nA1o-yYb)rgC 7XZp\quD?Qc53)\0!YwU~N.*kxvr'`'KAs58 Y;ĸEmAk nϺhI/ \̌h3YNE钀buϡr9<;)X"hm x̞<;`O2ǷO &}h/[FɇBDcϞuah1bӝoBsE_ʽHٻm^}UVa7>^8q'%v+|)xmJ@<<A_'XJɀ8":d/od)?x]W.PK製4o; ʾ"OnN}^|71 0VB>,/tNο͖Z̜8#ӷwJjT{eȎ(rݏf"vx=LXpRa(D'8VcF T| _]cS}@HGXȨȠI  v}Dv9fc(Igl׶} ֲPf!S`EBح&rBwm!=q0QoJ ,նXKѹ?lSyi3pv]{}GTAW c8%W#8̂)t;׍αMÈYNA=.& U**1q^S8R3{;tsT 9a4OJ(#>NYVKXp (Wt?RA'XK:mul&eY ~EcAt.,/T4PgPhdic m2t-㜁bfhK0cQf}E̎w x_UOOFNlFvnc(fk^Bt%~]FN-`n\E?#AVZVwA68HC\>'L8^p?Km6Ng]SShAU)<.!b߲",í+336!]k3.կx'+@{/zGgwz6dvդC2x̓oSݞldўQ N1 C6L;N_;j+%ܦǂ-Tdt}(glUo\k1yr4ˣOn|Orszl=~﹖ )j б&w54TC%ep yȀnʈ0w0D1ہA=yʃpT23t pۛ&^/D9 2C̬iD&j[w> |SYhq@O(N?GlְӢb,c1 ^v#CSzvƘ Y+)oxIBcLn¥m3\ XϚk7js=J{=LX?3K!{vν4w#0чpIv$%X1DbYrhHZL6Gs&fѧÉь0' {JtqW3)mfFYoR'"sN֚r|zjU%jJ;K!M@ogf;g^`2cxg#~l!)R,92+%=nrMp`xkyg,U8r, w9.GtdRt ?@fCRW"!l_}]k>cfj7EqDGC0 3{JYZw:yI^I jmq<h)y\8?3Fҁ~VnM9, |:Kh:*hb|K^>F|g`Qb~+ yyOW{qWU 3jPyPNoc\[5yvݛ+܋U`^p^9=;Ff];-Ghs4xd7R`iBaVp&/=Juƥg-1-oЩ`T>xzJ˶ثa!W`݂tx`^MOa9=l8|\ %F.FT*=%La̴9( ݸlʄwj7-uh@[kBho^Ucgka삭a,&^(b+Pۉmlx.ŏ9~/x_G>=k  %όN?pp' (9aO_ErvŪrWKI&1\.^; \*>rC/tNt7U_勜/ z"lY6 }]*57/w m ics^nYÛ 4{s]I?d63s#䛫do~?xl,=}Yߵd!N:~Tgv$qF?0 7k8D`6 *\_f#`U\m6bs!Y<=[0֠mZZkOOO2Zz{H4 b#Mwl~O7߿'\lgL̆'=i]irF:9黛(sƟ~Yk(1sh2Q(+CHH=3޺~v4"t7_g47~(4BtOYPa7a&Pw$ٗ7mZ=33_&q)d;v JO>'ɱV1Iݍ9RČ! u A:|gת²/<5zDd1G-BeneNTZ'/3ۥ5um}8 - R_= FOuuvY-1A4$@[ hP1wձ6'g}#cYWnIk4C17;PpvAP)-3܂h* hl`?%{#~PdJߪmzy1hkǧd[}?1{6xl>Gu/=7rsv`ˎyNatD[t=>-]8Uqs3eљ Fw<7 g&<{AW}$M{?^md:Vk&\#_8x>pD.B{ v\Y6D備6㜞ƎFp3br3_ɼ0Y6 |ޞ'~eiW;Qz'ˤߒ9;`-;W3^aXK̵ {ɰ7LL4&lm:i2U5ݼL)o>{o)5+I~f s>mF!'snF'[*Ti@g S3| 9»f=c;lY`,:ЦMkϗ_EGYAIV+;-]]`Ghwlx8XC@^r:j6&x!2 w>NױT8a6QƞzdKo?Sz g:ͭ2m]l |o~߶Ĥ#|ύp6oωl@^nğo/7{Mf7}z##iүvz^7x{Xﹻ~S6Mtt|8l7$\ȧ V1Use@ܨk9 &vۂX2M;-dz\+ׇBGlWRAXn&?ro7xW?6ʉ޵]VD=|lE$R0Ehȉq)9C."8a96 m̎1Nrh0(:xd(NZGBa'u ~^]Ķ~^Vk&=:ttͱU$S?DeXcuetԂCKDMjxu)UPcp8C*f@`ݚq£9"ΜuԆWpFɶ+̺k5ePUFPPktǜvF@SU]3O @3WEr.Fv;D$aץHH{ρK( ?C}40QД(|>d1X>OrsJ}+ҀF턨iGhߥ9) |c*u=;]8w vQwN~3>gyC|58yn[%SάhmG&:tַ*Q3F@:l AN᦮;8<0ϘL]83)^6Vqx/eOٌƙeD xP+kПX I&ʐjŸK Ylm^8\_ڮgڦxAK}qln?uE5~4ˡA4Ć6)ߠi<]J_I03؇Kןՙir=>v$8>LН0/S0\tq[@<|l돿~Z:#o`E;;S&s]Ԗr~VdZJlg;KPY_&{ms(wdEal:78w(n`SIcok-/8q<"w *C~3njhe%7f=w),k97;MsTdZ5Ѷ 6$|X5D7N9(?5֛\)*6H Jg}qm i&-4xe3=kg$Y AL31>%5]G 訮uqY]#C='[Ke7jz=7:zfgg̚Iaw:ew 1HL@,!vLF mutkU,즲[uMS'ǃU~U5.\5nwum݇qx݅8.jm1nn"swg7INVN w1]wqh=I:ebvG>ϒAL872Zi(U1y~g+,y[hl .')Mc!^MujdFKen^vg#ӗ_Jw=j@Pc~|i~N߿5\ W۩Jti{NZL5ul=}x ,P^CLY28;M3ݻN63z |و{trY(c$S&cy+Afm~/> &ؽk`꠬<#unN˲m]=J}7&ƲOجH]<~9j/ÂYf{co;7o\mk|Q!w]Xbt=p1c#˦աO !rl7Ev-OيWA_~Bl+x:G׻ wG5q}R<J:~_+D@ ":3][G"$AJ6'p!R1K)(ݯ)KN9S[8Jї+1|z(<(ԌڱF e #P[3T8|6)2؇Wխ݉Vq(C z;GҎEx4^czA-.<:R]8h;s]hM9 Q Ğx삭]<럺X&z']8Qj2xu!8ManMgoH1X> Lh*BD6E|17uUeIWh9G/1MЊzmhh)Nϩpr =' grТ)::=-8`5N.dp2Qv5igO,@eެ$[m~J] "TI7ӲVNfuRtx.8I^uvfպ]'oǿ~5?Ϭ{p.LsjZkff>| q<+p}Ƹ(nh /Bu}[ntMyR ޽VYt/ٍ'Y{=OU11=sMGl>?\y3 &fpt-1B~ nE9v YkW^k>N9Ng7*?[:]S>2큝Mc319F|Tjq깝lATdK>[7j^JG)zI,;5WI:B 3~w3>QO?L߼'ٰ^NaMVV9籛ed~eОبW֐ ꠔ  ,I5c{\︸ϛ9cɥ49O{h@|#G%P5ǰEwQfISx =yLO0Q=1Ťwcmj ;RxŜ_ȄϱceNjݛtg$ke3t ^Fwˠ'm~{?ԟ;;9ܖYhG؉,54vA&O=$ɯr=%re3?/U8+mLmp8pt+\>KHB~L@'N=v}ڙRr 7 @3ۯ;m6/R8eݽLfvkH¶\̞etA(q6FYA:Է8w,ݛo1| ]df/46o8ҼOVyƘlU/ Ȥ6G'}1$[҆Y] }r-/9gj%9N{mV|f+NT+Տ:T (n Lz)eT;-}2|v 0.e$цwɜ@= |Zc];J` p*^ ~ !JzB)H5UN+|۰CYЬrox:9n=v[j!#xÙ&lmU $@q^YHҨ'8Y}fP h=c؞`Mȉ/8'#Wߣs4iԡB_n=Yb@4~䈁`)×~{8HxM9xB!>YCm02FV_:Ru-x`_䀲O/g~+0F^ک <+;`\SYe :A:xÃgxZ}*ծ4oz)$~Bmlt`fc\"SsPo!?H6x&l1/v)XյH_UIpߞ&Olod,X8uvO}VG%UҙH^[ymTf f8r#>wPuy^ll<}&#IJU e_2e>+cmr#~ɛhi~4=mN<3twҝĵ1.XN-"'Mh R{s4_9pN[6#KK/_)_5 -Iy{-9 r=$d:8ϞOxw> 5}%6Benf 23{TnS(гWˆ}<({e8KwRlɧ'8 aorlS9F9q͓?7^?hYvvvRܺ9yz}} }ͻ=u?ʯ|^Ӊu"[8̽~wy<ʀ{%#ɞ 3cיC_,9'v{a^&4>f+Κ:)S_n^c`hC # ER, K=ɢp' SaJ`i7ctJtA+neVz <3}A> C0QAk601=jF|G9P[6mp]w܂>ؼIB O(ڼ ,FT8;D$7(6Qcj4'iζlQT'FFpez0o$R|D51d$c2_ᡃVQ/A2Vg$^+-Z2~lP-xe:(a4xCr'sg}lvoQKW缆+?\݀ ,<b-/r޿޻go8dh8Ksճ=XغqV0'_^t@A!njx.qsN?&9̵iR66_lVnLln1W܌?|u;?g/NÉZOAyJ^f]`,SYɪc(>-Kl 3Dd5_=:!yXi3ń7!T1b~Cb"oh rɌ4oMi}F? c ݲFϮ>x^m&$g,x`v޾`_)_Pcv:T} /=c8C[x@;?<[;~n#[<]!*<tWp1_Ѝ_Ӎ)R@v4I/~Qnc~P_\| įoݿ2}x*|?GlΉͮ%ES6~d,׻^euِAt!%1)˄ʿMήiv;|ڭ싻)>R~?ڏwn!?2ooW&:%#D!Ce =VʫHRк8H)ďcvq2(4EM1q38ݡc4FfD9 J\1i,6|{۬C.Q B#J Nm_)4G)LMZ;#5YWu::T79Ϟ6cL9ZڄKL36, 2XTs$a>(}yv>}z`+@/rT][Vqkhw ޹Nlo92>;~Pmp1#"^kxxV}d(?/ Op_iq&,.&6;ghfmlfP7ąw +~18"`$/eolQ5l_x^ |I:rI3'9<.W]U>N $Wޘl|5՟ sS=I`◾z0mK3:32B]u&)ZY{$֐Oq-=9;YV7X9-tN/2D߹b$󴸓S 4 l:]#%~ ^ͦ#OIm|8v爾7{orw߬ ;^:9Aԋo[UaR2O_2$WO~5= 5PAzyK |R{K s51po>zd8oc ]'/O?n?ϻ/,q91d.<#'a7=Gpn,Y`|D-VBhxcD0ӏxt>K,^z’ʮ0X",fhAV IW5Xs e&ZFD_orN/A2f'2݀ŊkHEEl~dZam`r+ާz<]3ջv{|mw]# U6n]7kv՛t5[R6_sS}?uVj0Wrh- "+={uuU2C 28V]*{0ݵh5Ynnvo`W?=n<2nﺴ)S{ SǫXO-[ӕ_tP0I0d)cFύʊIl0\$^M7÷9~7zI{ WT/%Us@qWkewG2a7ݕ=.}6sDo=`Mc^)2G@dL~r7l`لE8Nh Rt9_/ѽ+NIA4Z _I 40W=`;-mxlۋo~Iv`.ubn҅{<: ׅ +yU!x{PymA~oUϜ f'gsq;zɿl؇×pwз[wQ9v.y A}v';|y2@o9Yǂ*9v-YWp[_H6+pzxTtP$*{lc =\I`kru|K[`y+^ңu_J{?nŭ˛w_QnOe}cE?,3ڸ.Zt_we8kPc4\ YQ҃>.;/Sf>DۥBE^8-dO0!E!M2kHK5S}(r)i T$ GRfµ]#V061cH_Y)w˜FzW}_jU H!)W( $p};#jE΁ REjK;G89JQ_ ş5^ɀnáx#@6G&E^1s>ӕgA 9O.>l(gGP|xoSm[no~T~%{7G6lp}YNۖ]pI &V خ.;n]Y_P}Q(±#8eNtJ 8kth;7Ӎ2{MbY'QOY nj%^ 21~|J Z{1{F);Bg2Zʞǀ}CozpFwtݑTOqct51:^EYƩddINu꜠FKa+q骥m#h~r8x8d굖ۋp;z^el6>XZǻд̠[b<v|3~Ó6چceGC왾tBCqwWJkUzw=W,:ݛWFqUF-^glXឩraA[3< m*ֆd-[ۨfI.&9{+Qnjr5o6B2$e@&)MtZ>k7y.c7qmڣL鼀8A|tOY*WyKy j%\gg L#SJ-(U|$O-}h2p{ūXLAt߂@]ׇ^cɊ$7X9_rP?}bxlǍecNQJ+wnveOF dw &:~+/}ߍO3E2@} " >pE8A0uA[?L)[8Y=yr9S>Q % !ݭ4@ V!_`_QfbR<&ج{Wk3L͑BCܠ}repv22vO} xRyaqѢhp6cY_׎f+61g,ujj8# 8t I~KUNqo2*ofך-"g~l\f}]3l&Jǟ̀yn D_wO/o~@=lKý>p%U"sI, X{zERorOP /S4ie50\Rt2 gp/K†!|:Gݓyf |cTL { kV`%R/K<'a/lxD|o`|W{ڱ[q CxN2&[izbjk0,s*еZG\yֈGx|ݯ``2f֐qcՋpdָkdeN0.Y;iH79CD\8N}vH+{|GhiD#s;-) &}Sgg ;DS|Ln{|Gmr_ƞ{mg3Z,O4aes:٭:G.7l|le80 ]/t_?*j4`Ox oIY$uOxO?Zu_Vى0_ L8lL[Bmhv{t^|l*AD&T5^$ַNWFw 1"/Gza,__u"qo$Y!,X5S&lk9rOW Eu7Mg3?` ~z|ϕmqtFc2p#>w; }g xޒ$r%6 7EӃsJ/} }VCYNDxՄ2(V?o bi8j LnV͈0 B):!k`\6CCuci#oCc~a)= Ϙg8=`ˑ*WrRRQDs]ňAϊ^Q:E`5L9HaZVҨ@gnp}E:)VDpP\?z48--P`I?=kb,3ߥ3(H nI< HfXNx: x@Ơ *>s1sE<_,Vq@IDATE q4g\5=#@aC|JTJ3D%<WmUUk}xd\/M s+pQY.r0b5V} =B^ch`o:G#n}|)A~rvlYwWƺ .7^9 t?htUϾ̨aGCM7E툏o{2 A7nVő26 TgA2 !!AϓC1˲zQ:G]wd&sk<嬽e1oVWR2q47޴ !)}f?^Mj^AKx7ީ6p%;rtE/z<>$4΀NëY$/r!~BSƌp]>6=<}еꪙq|ɷ1 m4;3ֻO =NnN&P|/hy;ϻ>zw]!g檙h6jչǻG|B*'}W'Uyz~:|{]R '3+5}ONRoVڞ[R;j?iga@)u^j{M2$Y4G6+ 8L/S/:U?7xXr7_4=S2n6gY_@Ӿh4Z^o(RnK_ 9wp58iMC4^z"q-p7$ys"LfQ4VN\qs6̭pYvx"h:6SK&4RM-h~'|i/ɛ=ͣ/Z|Un^\6E}i1͔.51g=`ݮھw ߺ:}Tߣ /cճ" ~eZ.`e;o ͪ:aƌӿ~?Rc7˪nO OD[ms'ѳpz8&" <<}U'SdfۋfǨw[s ƥ,Zw/X!Ϊv0c'^JP' Uo OACatyv?l—!C6{ÆH>o? }&~݄Ư>VDgI@|}pRUv# [v'\A;2{UԂ:^Y}N(p'uSlcG1n?͙]҉9dM)H~U)َE)7V37G(Z!%asE_Mdcʐџ2UOT0 1%2f0(J`S.rt՛qC[`D#pZ?8\ |sFM:Nw Rjݤ CrB[5R"KpsNvMnYEys3  fTrcP3.O &͸W@);9f8Z: "(3(mm[=g)N37_ST64F#MNH ,5,\AҞ/#G(SI{Ny=|A6Xj )/y{v4|U#9I%NhMx@1#{V+#G{S7jLؓWbuS ݻਣMA~n@pV^o 5TAfP|QXDwvZE7Vn_)տgf& 2ʽ+S=JuQ{kSGύEoE}`ij/еk>>kuz45ں mN G6/z8 6`O)Qy[o?Y'ྛXC 2VxyٌOb:&__NnmjY?3WFeѹm'{8Q~5_ڠM@fn]oC0] ~?_}m0`x!.BK&M6>s%>~dތb1ЫR@9ε!O?u pS3*o1Ng**0ݣd5ޭɦ]~_] }U`7#E}m_Pt>?}3{AiNb0*xuå? O=>J9Yz5rprvV<\״xJnB/u9l3A~O/閄rp2gjtHGlO$L`f3fO6-.J/9] ߄l66п^di3m /]]WnhcPE[".SclThҤϱxipF'vdW[^3*K$x`YW4ƴ(u6ذ='L2[|={x29'øLy*r~ݞۛrPeVȘdk5F ѶbB;5$Gw{< lQ׌p.Z2ll_*b[:MiilOvܳHgЅgM`{'[+ `N2x=9xuqr=|D~mςվ;kﶻdS0ZU[]7_eĶ 'x& OYmr;N\ܓ`fk˓'¥J"6ɻѕ 6|?i&y߿swO;+ խ8vdY' &.z;-uG^и߸v_f FN.(et,aѯّH9γܺs6|i7- 9MUGdgF3b& X:;'Y ɞ\և k(a^l|QwlT=tfVjրO=^{Mע)W<[EɅ8戣a񺪻~\Yۂ8h00?=ærp6H^ǫ1xpϷ팞l-98sUJ2 58fHU!utNF#9_vԞl-E. `;}}ǥ>wg$TA\]1eRe jL&3e*Zژ.LxEs>PaYfNl`(AT;9 "X1yyF= yl{2 fFt⩾oc^p&n@S}l*`?Q:*}>r`IdRƀq㍇9QMm?x4IF&o6sfkў(ވ3H`\U=q ~n wvSk<zDAxA_9m&h-tnM'^X]4 |Y7x*Zޅo̫7nxZoeWOHuc^]S/]c č2jX\Od4xM.Uk0ipu.k{8ゾm:Vr]ru /uOEx9g ?e Fr~e8cyM1&@ 'i 1aL | `ץ 4N_a sZ{l-G%' KXfuuWzb4ԯ 3\ol^`0 ,Ɵ|lh~sti2'6ڃrt^o=sיlv+u+>D3Pu 8S`Z&#v!~lk|wҙ!B퓏(53hV&WQhw>";.=w:"#lr73~c^HC06; il4s */mN&$\ICe3EHiqX2sNYx2 ^{ r@,;~w1pPB ,"זaH& Lќz](np&DN?, vv _0e+ϑxaΐF0 Ջ̂^*KQK-уxZFyހ) p@0|']@ t (&s&g6k6pz|gȍ99:1?o}twfYtq#ȳFX^f~;'s! ڷ"djAé=BY0?>gTƞtf\A3rӃ'0q.}I:-a ~_q{Yolag)F%:pN, *G^'O2_[)CN&Č>tqhdiB\Q ts hA\̾2%@ɴca#zpZƝZj<o }WmԞ`׆ %;(rLo2㞶F+:a-HPg8=ArMf'ݷGSI^up9q:w {8guz>\T v6*@f% gU6]R&ZK3꣱Dc{,6 ETY-_*5&\=yϳ|mϣޕKVe\knܺtG}XReo/։ OO<80O:v̘oeL?{܎轍ng~diIc)T>#oad 2Ql/a|0씍YɢʆsQw_U?;݋*2e/k37[3|e V[8hk] Q@YtƂEdC=+~g?(?>fuU6d]3YܜA_w =[~7[/8QD }boO6)p#^b= &pxDSl{O~ 4oLBk_f(gkOg>Vp1 Y?} wW8?zs\m_M& 艿*wbc ɞ lFc2)@~BY~~2QH`t$8p6g_tV)qt՛|ŝ~|ل`Ev)^DLϧoulJً _;2N[E~Hqʦ2VG3L8y˹FZ.&,Wˋ[5S?asq˄p6 )tNtH!qQquH*15q _+%ZBg9r/ŹTxF)ތ )cvYn8.dxQKсa1 #!F!Q_lY9RObg,E@iE;'RRiBGb,~z8~n#&KDfy91е TMŞ KmDd8'u ,XǝJ~f4׎ ֛V^{f(I$2bV^)dֲkws<ǥ֛bُJ)'7_=2 n&xu/|f%̲9RPgJN:-4nPzCe( "GE?צ2L:N/?h6C_fexM0I-h{foyY2EA9k_Y?΂Ɉ#-lnq #mFuv!IƂmfWlGw;0w4s߆d ł*N` e?ot}7 t `&8X{=1 JAzxIz±oxAm}`eY\E>V(x dji=tLh^`Uz+٠c8NQۗc{|36gxV&*́IO琷45[Y: d|. }-301 <jIl'Lm0ݿHG#I{l^?e֗zGozl=]K58X@,SYWG:pW|`au'{ryqMW]qZ^R p׽Km 5!euԐQmW{KOfr l2] *yS[NwZv2W->l<oϕ8!He81ÖsWKoRʘ^ԮўYg\l9e3歲^j~\ie 't]xܲWbt_0jKn^ORѧRh`JF\Pǎ=V@?kK[Ӿnßepm˹Oj8mR_zu2G`m}Rɘ` ?h~쓮ЁNDc2st#uk|7l~mUn$(ed.@Yn,0C&,W6>S5HFC%L=2oؼ9*+nLq4\ٍj> O~!/:sd+z ~l!OV{h헟~7|cHdx26z݄ w^/]L_` ? "B$>;AfA=&:,S?D)v90@[R2qm_>SHoo04.O4Xa;,ge#UK s*Bb (ϺL&sTQDuUIߌ)[p !=TdA,mtZzG:Lp6{۴ XmPŠ bubju5Rۼn3Hތ9s{OGZ 9EF37j@ P5?a0ev٭WF}"y>ktJRzM v] fR}$LGyNVRf3k1>CjSqxciC9Septl֦҂4#]֮EҥMh>%r.L^@1XLΚTGGc h/}l8 ,|D9W`>"63h`ZCڠJЉ0+7c@QoRC`9x*]{1 P`6K ی:'Zݽ]VG+xԷ_3tAl.p-8wKxmSS,_+G`]7P]8 }A)c)}ZDUD}ކWzoh*2Fck9MYI=a>eC{BL9FAdl>3{ޒ':9yxƈޕ;c '`չ ڒg{Y|`!c]cqy2 OWZarRo%c.my7yTYxVzfɾ>I| }_^k=|˾ȾhfcH*`feU=x/q'_#z@&=zzL(JGKr4.9E|u-6&vqdzmzh$&1f'{&|op b*3{ќ~0A™ rf~Pڟ%}4<S+tp @$e7FK7R;E'Y#^u%*ޝ&LyAaWt%8Kk_m @-I]oXfcI|sOڸXh}3//n$$;h6Fk鶷[o[Fbz_PH+SN |O &o~)cluӝ)p`\`=ĦBz˺ 6^7e_]zI>5snD*EMmD80€ @cvBÐJA4VH<%/wE2vb9U"N=`$ >Qб`ū Rd0eP"_Ԑ s>IEF8WM'je"w Qz~o5bҁ鼨'-,Cvs7A~!W J r lOk3JK }G)[/oX)Mf9Ėj! eV{{#?胋{hz/2uH@퐉;ccyv*u'@nF]9 Zc⤿w8xp8~NDi4(\' dڼ ?& riӳ~ˠqt2҉sk5=:pzNeC>c| wגWV_Z@K#LM?W =k;e oTgttz sb>pg7%>R~GcDK݋ 1e$ugt45o<']* !g,5dLtՎe2~3qBH f3;{Ր3Y9BjzgVoj4Yp&UF7nF_Kmoar87s͚K)iʑiوpn jmLkҘz ր,㴁ns`? Pc fHQշ]_gܫhmT^ۧH ~^;γwx4!lY<:]7k}Gn]&'o_'}q ݗϳzf#l}chv[wj]Sa{ccKRm 1<8=;=ѳ~^brmόyU_ekqWt&-ƈT}Kogh1tNXrz=(ٺ^?[v V֑kWvZh~c~{,|뫛fߑbCmg6ʯmuz=ɎUx+>tq+^ؿ\wwlj}iTz6`Ov:sH ֬,Q/#qE>+낓^I26o(eV8nOu8Ͷ@mr-wg3<'`}c~l/Ә6}xuu^B$~0 = iQtf2ohnT衮ӧ 3ߤahkGǐf#G5Zn<>7^(-{ 67W?<ُ_\|;a4za~떹,\Z~3J9Y3Fj|zFe굈cgf4gD #\ck G~Prgr>ExWPvnu Klҿgzrjp,gaBeYt Čˠ 0!cwP^:|;HEW N1ϑӠ`Qv&suތP$:P]Q>kICqͶ  .͖I?e}Z/%wJ毉y'jx&f} \(0+AY1e Me8œg`8lÂ֪aꯩ`l5(e%^խЏ_hNUB {^i7sz*Cmn H' Dm"-48eI~cB^fL _£D} "~vz/Zxߦ#= ekSg7(T2GY*$+]<<{>U/lf1pNR' 9vC&hLz. ktMpݶ)hx}^6Ovb.®U3w>o;\: |񧯶|{t}WJmnAlf$E }qEVNĨf? f/|x`>Vغh'O;5U^c!Y%(٬ o2Ѫ64vk Jܨ._3<ڰE7c{]&YnƾPi6nz)Ԅ_YꂱG/%< ] ?c$\ircU&S|]}._~{]Fz?W:3;/uK=xL|G 7@ 6f .c&@7ci_@9cЅ>G :%' ]Z稝nG#[lSݚ;]ľm<]"\!bQ G'9<'2,һ|wk7*ӳSwr}DX 4woSt8i ?/(܎Sx6?TJ/MOw57c!lt +`32̍&ʝz:'+!L7~WMA 35l5nL3itcQʆ[6t {XO5 dm]k{J???Т&mꏊq :op뤢w඿bWݖQ(8݃Sm{  #e7Vr0nw|7 ߑʌ~U] SVε /dvg@`ϿlɐDY1ҏw˔|}vĸ׳/n~H*I9ǿ/nW{\{vbZ Z_ſ|Nx_l\o9^AqZMw/=t#嚠M~\f'(xUt {.zε^NE'i˻Wzb/n2^4ޚW9O97R?UꐁY:ɻr=3cSXO %p! c{ /|#k$bs QzSacJ)8z7%? Z?җ_ MibqCa_dB[Ö́<0ĐZ2ϡy>/%u"%Wq{c.jlM $1dX8*ؓ t3 T?aCS6H֕3nڄ =o o,kPw\PF@\$4p+s-4Gz] p"x&xiN~I N &=.KPcklHMZ7GPIɉmʴ]mK,(9ʓs? l ߞP  pm27=#f=ᴔSgSo Dbk,!D 2:г͡vt0Euem >&LJEח9crw Mݫ&&_ӤMͻF p-8,*9<֡:~߅~M(|#3}RjRXq+xVTg_CTrF82ӳTu&9Z-pU}A ]knK] 4vA(y|E|O:=#&|: V=8KXɵac;3cξ_ i9@/[oI}{Rl X=_} ]/(aB n=.mNf͢|ov oH.`뇢Re=n޺&儛fQ8bMoWս&vtb0pɑ[̀O.ˎ4= &d{zZ^g"ڣW^{!X7{ &}$*YI.=3= Z;d<];uy=/'ˆ+=7<* _ |nSQYm@IDATIFwm&Yr5BpƣnÌp tFP#xx;Aߠ'v,wO)~+_oeԷ՝8JK]hr;S QGGik x wys(|_Z;ki\TmsC'PKV)y^ӃWl8z]Nﳊ6Sڨ8~ bt[p-+I0/Wt_+/*8:X ptdR+0o<ؤvBҥrrz9[Eu)vM IМ٢zVGtn}^ƎѫpT(?&otd4:˞ 5vѴ-ŭT_W/WG0kV6412;#x& ^|U a04syz:k`[ U>$79e~И`vot}`^VƓeI?糡}2O?ţ&<|ŧNO-QI??~w_|P=`ڛke)5n pC*f\X%\oZ|2qW4WSLhNݩ:vqfsll`1Ow4Y%,L0uHȡ`z0H3sҞ$a:C @.ٛEnJ9EASL]=.s dw&S18Jgm=jd}崽 c'@ρ1(kYKy@Gѫ nj/Sp{#LԦކʫų֏\2mor+0 / Ӟy^۔ɔl`&gVn+4D +йm9DLY m9#x=~sG|9ٸof)mhwH_!H)p47 ӟHWW\ĆfK/b)_M`m$Θ*Q`:h)27@vOIpV XD6edȕ28[Ἓ¡e8W-IQV')=)y)ƒ, \¢TljfhaPgΰ+[zeC} &wn̠Aջ ~N> YD19}2מ~q@]hq>c ofȜ&みvf|xm&7޲0R9|fQ[]?%} eKm .AG<mR4-'uIk;-I. ,>yӀ?g#L5݋=7?tTeۭkN`]Â_`;2n#رsNĻYxͰK>:Z [{(F6k`߻;go.'kB3z82x(i|f C<&6ӏ:~?~S<7>^4J0pl$@:il";~4< k 95*m]X]8xw_aD~o|wl)G$8ja΄?}rK}1!`'G{) e5 EN\ Pmi#,_3!{CRtPOⅵU#1o弨4ʾ4!] ko{-K&-CG}ŗ|Szx=ik'K>O{pt U_,yl'hWѨ }YgpvMP Uڊ h!K FtѱUUhl~D?{E(k**|8ܱY[&a,ؽQ1\hx𑃷2M <]M W.5ʎ{g+lؘaY&Wpx%dy#jyl/.~~†k)căMK?yË_ص-Y~77o6Q}MlB@v/1>L73>4*ZC&0ǜC#3MQ56\ ZgV|3hЍ_o*¾3d#u=ʙRd t>|/zUV`koMɆ΢rHnWMNo l] %7[;)8nad|J#hg D-8cFh٦2Zi&S9}uSh-'E<5gv+F2`uʾ~aS7Nܽ>:x3﷏ͽvݗ__\|q9vHw?ۇ})f W8?YwO0QAd,.m(R#{; ΐVprv<VtMXy+KpzA&z=>m4}ZnK[ Y%+-FYm G}/Ke}]~,0 lAI!1AIH fLϴ.)oee9,Zۜ^{dXK\Ue-:=Go#-JߪS$'umCXը으t*9Nro )c,v r4$IY7-osm$1IB1X>rF&[`O3;A'a1(}Ux F_ .X+YB zj{(A'%R#DAJXY GnC3~c/9cY3_(%8TtO$vG+E/ PO}9 ꑏqom38/%c^_=OXV~SAG;W^v^~6l1xjG]m~y+9l+g)>XeBpg]rx*F"Syz؃vŃJ>Pţ7ڶ|ýг(2FM6vj[3lݗ< ~l1ր4 gwAݪ]%E2S%+kt|=+4@\{}C * KG%5}32Nr#/t A*oяu݉`W>)' OkNM5ez!sh06zxM$}#;36OTԊ[u+O9B8:Gc/X_k6x y5=8-$^o{?NXt{X]l8"l}@v#,OܬPNml ~9/=Z|ZYS%v4WwD'ر,^_⧗Kx>߯{ݷ9q ~|qo[ D=q@/w_n|p[J|Ͼa']ohXl["T^á{t["O$g+4h,O0p|J{+y/}$%~?SAO)G/ڸFߧU.c|a/|=~޸>ubݸ\(t/T%6ozC{b;GI?:G n.3Cr7dK +tm_D+'tc:h]\Z}x@Htx+|Vk ,ppK]s'?/G4M\U} rkg3fk{FzBY;hvkL9IKv=7H:˫2Sb{\N4?`-X܉|=kŕrX-k_eo\~gaNx}>kfy?w/ ]l7YF Mrs +>r !94Տ!lX{7m}g >gϟT=a3}ƘqdxuLxo< PVdG/Z֏(HG62?#ME2tzO%tcC!{2tBMSUMo7[EҍN$;[ݘ~&<M$M}G3Ո^胮hR/vx:a&SC zqmΈC9:o2<ԧ?~偿{-[dlD=g&*(HQ# >m8wl{Dxvg+~l1I#<_^x%9d"o=O:'}^m4m_dd~QNSǗ7;_7ovKc_OzS47~XgFt-~\mv$2G2W &g^] +;}m|Ȗ̧˟q``8Ć 4]P١}N=-О|feuljN=ap}k Q{oGqu4( ! z@ R ڂfw82c@sf ܲ/ =L? >>ǣ_Y;FvAS̔x*!݈͐a|pG9 / Y|VZ01 ʔP-I2RenLt%f(8@9([9 Rz\4dGԶdm BN5{m0uvPVmj|<*5cH'ќݏLwP^C]`~D 8u3P.ۀS峦]] gm؛1]0+MaQ8VppGkn)u{0ZCC:Q` 9뛯mu5l;_pUGحPU`r{f/-f\XաY}_濜UT꘍&l+x lۨ+|\ j~V'-v]II@Arw?5aI~ȸ`vijYYO+흭p<0;ߕԥ)=Ƨ`p &۰5yj6eJ)bK׍ḧ~hODz/Ggd@Z`d565>k}di+ |cow >Q*q1 [*K>=kե]Igʶ?n$SOi0 .򋏽%~`89fѤ!di8d+)6TUl껱{uqh9kmF uxMr>N.˽} 9*ɗO8_?ŕ}\w$ۜ꠻%@ Lv/><|VWȝ#ٵ٪vA .^5sjѬow\ sf w$(1[ Nz^A]R4ǃ:׹vjw Bxԗ4Nr\+3U#9WZ@$&eσNEbp%z*[߱!XȞcȱ>YIV,ɩj{âF&7w F^͐{gq8rMxT\Nvvmfr~:FBsz6(Ǜ c YT.!xPY2wÿm੭-ߏ7y%is>-<,m8$s6}V0d`|< oo흵d`xFdxbЌoV4 O[/&!tڪ>'^1ц2X r.?8 At0L4A9 /AbPϙX]x!9KpO >xkI@Gv(LC +_c>Ԯ&5[өjMeݷl֖\It^oQk$rmTzԡv,3`L4ΫkZOmfCW[_}) ߖlЂl5K[֫9BpN;x?.aJ6x~l@G_9SƎ$dgEaJٓO7/h~凟~$W6IΞ.A)Bl2r$~s{2lӭPzsw__V@M!rZ"LőJ^ѵO:/SO,> 6=t8M(#9; ϏJta+jVdwO@$ؓ`a{Ί+nIh6o 1}~tzR"' 拏Y)/i߾zS+5ԻmIRG#_H91YrijjfvOq"s8ZC:?y=0uLF ͜ o?g34v5Z=/)P׮D-t3j,m " o>Ne%Sv[L/zY͝Ѯc]@jxե N,-+1. QlOr:6HFW~y?>=dA1q:h}t6UGzMx2UAH{6kUk`|FQ>Ue6\I^̂:OCvN痿Ʋ7 %?37<~u}w$ÙdϨL%r!5[~iybH ٩%]V+ko/<[IWC^Ο C<M3qeXçu(Ǵ{j<G+ulMc}Wx>k?lӧT|HgscF/ ۽[(uc*U<׼/t'xvDk ~h)=犭CoBJپ%AžxA4J: X/:KEO 5w71|$t 6.YYr{ƒCgY/ ggk{s$"LY&O^y ɛxӳZSNPpH:^eVh}2ғ^R``( ֳؕ?t I3/AdϭIft]BW98fݗLoew\22`sl}KKT&׎O'TƉ9}nU: @>ŗ4 l>eCɈCb+/@Eeo/jzmNȘf`{+]ssnD˂* f2%cRr[槟^+Sխ~u0U8rn} V8=F >2@."W2[Fn/_(eCAIA~7x H%a3#89iz<12NtPQm> Xa$^ {vt+_hQ}N}Z]mU-/[r0Of͜KrH40@t XE.62yD 374+1h}tZQx^=ND ZJ* jdw-] LDNn`ALƌ t&f]$gdcr)8QhV Hn$Mdnfbo1D-Dp2?7{2KsKF]_ʙC{OHf@&23=`+9;y?gL!I#]g7C[hcUfM ] ~E^L.btxuo._{jnq'Jiϖ(U$O]]ڊ+ ٖJG9v2fH֟Gysびo}_ޟeP?l 왨SOlKeC1$Rţl=ilpn%Dm88;!־ ~΀_!=;Km LLn7kL2G`鞁[B`Px]&-MTIA"¨^j rh3۾%@jbfH|dSIPV( %$q\K'q8*J x:NvМ5s;(X};'G[p/ :p1C[$U_GѶJ]Đ~hP93U` h@ًQӆdk?DlU~D{{y61E''qy'P"F4o}یM?mhfm.X/ӌV m`~)Hj7\f܊If׃Yϥݓq>IG\9[ їV )qg7iQoO6nQL@gם繿tVPEfK %0'SaziusJH5{LII-Ml)5Y#y&'f"88?רU/Jyҁ>lAq/ճd؞Tn_f#vKZA-+ WrU<#߄{CPrs䓃*k7DUvMO3nn3|lm3eOKm8agN/ tmuιd:rI[hzl Gz1a}DWLjDgC8y֜J +w+ QqhP^mЋ{Mj;eDl^6kAZ`e绒10lLVN6}w"h!buӴ]5 ]6[o28%#H3llA6;A//!R|G_%:_n[ѥURҵk:^| .vg`Dy0]QiqW۶$ˎαf&C،.<H{iۣ4Q3ē?Ιhy$G("p:]̇R&^\ _]Ȗ.؎heøbe|Y+f_ L͂1^fތK`n澬 xؔ.CPo#Qm%)XL,2zfόX_=KP-M |澳5ՔoQ=[4-w t++xkdӱ vÒk{+۵v8ok[x~W  F&*:H8Luc܍9[h(x6ݾk<ٳ[jxa;mfP2[jIe̗6H LXyոhCŁ>GVuħ答7^^^[ ({_vz&$nAoܗpV<}$ߧ_n|qOa4f?Bfݿ_/|yyrUgu~W_jI*so-l`= $E>Y_ ME1E{KŽC=EI֑/)_?{ߡkPFӌ*50T94XOeކYp-Df"Cξ=wYϨ)HXb42!r |BLx8T" э/P_(pm{f%EIO>kNtHd=4O 9Dp?'usvsMY$xdX `d/G$ٽ9u`|wU;nWˤ JC~v}ZzdV~B}~_'#Di~ в-M*. ^Ura'鷚%,4;ϿowG?io9vsf8FFGAcLo_ %Q|A]/Zje&ӷBZ(>.Ai=٪Dw"cpll;y[麃T4:s+m8{;Ʌ]@A&S~AY͛gC~N<V = ^K}{u,aTGd~MOK88Sw =܌4to3&xزWpt}c89DUYZ^A$G>u?`P$6oFkXpMjLWY@IDAT*~9Q8O/NRJn{f<1fqI&;#I۾%Dg{wx <.aR{@}pGzUȒk q6g.-%рMAOKGژ3dԏ{=hgg7~18iW6Eƿ/fJ m&. k ]׸f v k N@%Jgb\SӻnNI|/#|SHoHl˻ Vޒ_J.!Mt'_uBmI{=vc~a0|_]zYLW#OjIIoɇsVeK"4R0 :x˧p@Fx F[NӽG?OZXʼѴ,jKԉÓ?aerʌnk !L1ƣ 0LUp%5; 23j NkO)t.#mp%k(XNsr&wyy]FȀm,Vcƿ:yR)HւG±J:5C]6ig"&[^O Q$Y*xIM\/[_e≽Tf)ǮPPB֯hbDf N:AF|k]ǂGQjEjAv4b FW Adk}տ3ȅXO!|dkT yQl {E~9I+N#^OuU5R˶Mɀ>eL F\zE%99!`=5Z=} < EzkgÄ8tUu6`{Д{秹Dw0M[ &g+4z0#\O7V=X 5pI! qZ\"C4ī=yJ0K+0 O7 薆I2כEt N8CAGxK3A_`0g_d $?,vO5'k9N=:~٣ 'wǕuS2jw٫GxkFDF˂wf.RAqw,D -c'؞pH[BER/Y}rlĐ/$#PBڣS]8xN~ =O%zK"՞C.9%wlq}QwVY Y8ryf$ >hU%ۑcr*42vDʦCjzX~I hdQkL:Yvc<1~,5< pv/" +|62Z?&rlM*7;2G 8MʖD7ŇuIA $m{bEhpU OzCןqTi7&ؒ|ku%]5vO"6ܲmGVkvFz\ ڣy#"dCmm|P.Y\Q2dq%8跟w˓ V2v$0M7J@r3aN%/b@fBfu6%ąԸ^V|6tU Gm5u\Dwa{) l{Y`QsNe8/%Ɲsl2 Y˾07ڈuóDw' 1ّc?06; CM{R鷥0S(zN9i>I9$o~+|1#~Ee+gw?r[cH2&I +ԋ+( r{&Q(ě {uͳM׶l(z,7%k!sU} hCHS)"(g.VYKj(9&X/*oְp+D *jm^# e$vAcɳK4Hzs%k,m]GKS ޜ`fV( $䵯ltumo^<ٲ1fcuV4F hD^hc^&ɥjP:'Gf ?tJpyq}|7y2YBN,]P1Xlﻤ]61&ڱڀ~!Uݥӂ n 3K,kQyqMe9!gKD8mbt˶3Q*ƿX4l&B'W#s2M8ҫx0u-<"IcOnPI97Ph Y߮I;Ρ.}+LЇ1-Qd ߁rۡt|~34}GM {?kKd;ag˪7J@޻?x_#_^~Ԟqg\~zl~ H/pH}XFGv󯃡:74G'Sd'Y&%UR \)ّyr蒓lDK'kЙ%^D8 {a($}(㄀D%%48 A9 ^:AvSdA$S8O-Md<ۘ`cZ-=OߠF`X8umlH$w2^;+ǵ~;AfC +\NrfguJJ>vwt&`苚r"1F+W_}u퓽櫜xC BCqzя?'<WwmTv':m#0̮s7*{i#oh,ױy̖e*~/=<㙹g3L#ǟ 6h͟mRy׏vqN j_DURu^\K華}C3 ޽08+)јL:O`^e b[FW{x>/~wc")d]DL)GTn6udS{0_/hS{݃QbS$` o"U=$SOZEiI$o v[IIm[ؓ܄&a I}I& ʇٕQ6u9鞗8k_$ZdsoTO09OtTUħAt]mhMh|z<_0>y$5E1)JzK7u͍னtC7ql[;}3,n;`I[؏[䷬߶0?C wqO*?\~ J?~MG^)>9~/ж~N.e="r#1uZ$:JD`zAtksx߶zs~!v1r#nJ$Wqc\v&۬ĄYZ.9]rgd9e4kurK"[E3L9KBbg4c0DžɹیGC 8j];J4`p*&Z7o}6ň`4sƮbfe(eBYv6sZ጑2:S'2* kE-R4L8htz42/*YF}JQ9Sf;I zePx՟Sd K;$`4U4RќE Jxa7e!ieU,3OA/C/@/fI󤥺VJ`eWS؝62}% Ux_G?|Fѭ&!9E0CX'm`2~Ӆ$3ᚼv'Zf jWFyA#sOC@-NoOӟvЌ|Rq1x@? <-8іI"G50=;Yɵ|>'^W;uQw 0]bw.9hRWlȩ6zaۢ11d|9} ԭlD.wS2 xqƞ"VO]9G !}ܑES׬:>n Yy'dNG}>z䐘[6n7 KߵLE};e_?AL#~)u=P+zLaqg |l]{ oH?܌8GաM=<JHbz6?BG_sDdiAA"Y-\urɋ:l̈<<[ٹ{%lA:??O%u"!Eu6{>5NXvtV]xͮ5jsQw(u课nh㜱geӐ12~}ZPCK߂=ZQX@_ #tFO5u ~f1#0VCv>[ydu"YIϣr[Պ@w6ٸje oRI [Mtkkg䤰O(\,1~ t [84{X}lU]#;i˭~&@dWj\+` M!*j׆v̂n U!񌾃< 5VAd048Y@x'yk] MUez{t ;6%2$&MFі.Z,vda)Onc`GMV&"`vRaOn6ƍ4q8W VM`m+珍Ƨ C>:ߵI `͟Z2th?Dl7fۧ2{'爵U5rHX AT Lۧ=|h-g/u(&0me;%;Go8߁VɀUxOk?_?[ҩ6٢F3`o^_FCJ'%Чq꽂LF޵i\nZ1{^d蘬mAg| G٫ eLO)X7ᛕي1n.Bgz_>^-DO ]I}h֔S?w94m?F2Jɖjl_PR- Q&?Igݝo71?_RK%0܂j=!O\[Rhu~s.s,;dWp٨G`GB/=3~TLr lnmNY`P)MLALF'!@ b٤-! \çH1Z^k^}]@Ȱ[_ANa0c`8B̊)VFe6^g%'jqF!O2`}wm ˜fv92̴ /7Kطlm/{5x^j/cFB!zN`<=x׶K,1IHbMث)utڼǻHHM:DОľN3X/D2z@y3[/p1_"{gND1t3 &2dT*EНS3d0Пmn-aW(D~pTP?5R_9ȭIU7NN6xoy˺g){OMVK.w>fˈt _ПDk@/^h9+zn {Ew/jID{Ne] Vk'A'Fн,%׾hz^Lx~Ό`]2N%H|rEc7 7NDsɹ0pJ?BQ>%6NNph I6ÙZ:2nfBI^8xn ZsiۆwY\_Q`p8kLo7f4N˭0ٔ9pd8w\f^@3W3?:?]ώNAmhXۃ`k䈞}ﭜ' 6A?WiAg#)wcD {W67X}+Ruzߚ 6i:%(s0 nu6εEm~{i 9x>yD T1U|x[oqsʫm򋗳Ձ[4v %wwE.~C7O+jU9`ObrBAR l[k|.풸f}]*W[>7w+oS벓_7~xܩ ^6K_]V.tbč7z`X|E~ekӓeoy5{rV3:hx+@͸jq`ƛ^VOg:N:H`AtE~f}f8*TAZ6 fY]+qHWȶxڸcg_䋭]>L$#$ $~)1ٌ{. G^0i+cbbHl? S^? '7)^K#zmGmY1W_uw~KcwXn-lβЋ3Gq{^?GLY ި gwM`\az:{dMz:bo⊓VRnF*2aBǤՎ/ Beˣ9CRB S# .dgƱ.圗h!Q@gD`xʙrqW []dqkCVKe^+:86X,ތ쥔Q1Ccг˃Ң9d؂l'3 d` JCpV6LGW=z;x9o.v߫272$Y{k~7X?/cz)3%?l=ڻ;KԗCn!w[:^m]x^Ɖ8L\lTȓ-YvFDC7B=,x/SG O㹥/E"?J [4q@'XA[@d'o/3l?m0"h!7K,͎׆u|r;4S?u Fʫl3{ Oؕl)3)WV),oI@ni $L#yC5,Xؘ-O9vd,O3pHvqD{cOpuҧߔ\ qt ӣryI!:d8U䎭êt_[V+80Çӆ s82 Z T<lwl>\s&]`V}uضl+{,%ڬPlJRVӹo}/*h1ߣՅqEkޓx0z"m,U`/lYݭ'^᚞΋uP9D Tz5ǯ3p0kd<1~&?7=բf9 Rƴ#]iB+YZU[9LSoN& QcIM.::pB[+0}|'>MG%ν]tMBKqt(xJ]:dEll=j8"܌[Ze? ;R|| nuv֋h\OB_`6ϟ7H2$[=cV}9ʼnx-}Ցtƙ#ClGr Y}y*hLx>&K`Cg2gsl[VY){++m''3^3|XJp[pugvxv2``x#с`Z׫~SY[K淕Ė6uH3WM''>݊lf9P9r=Y_]TPW*DUODWf|Gy/op/ pd^sufɛTb%+ҽۂX +]5~ZxNkY+j&5 w=m]LF#DCckO3YbmnJan\Y$ &SZL%JG$<ٌq0 "4 yG!A (kI w 6޴/8R LLNDŽ>l0 J|#g\3e0uLhG\00SO0+&OkC]4x]&S9˘=DXK^43'-a`^

.pSy 0:DAqʚoy^qͫg004Ɩ$S{V첧)/6frsR v͊sc[e}11u|x9zѩr%_Qd$/Ё 6fZ3m9x%ΫQpSαJ^F^{a]8K ^<& J̭(n84ΠrZ|&h}Q:[3SI$6k#`_ ]_=aҶg Ug8C̊Ͽ܀Wq:^m3Sc$ēG=6в^?e+m]^>m <۲ONͶXdڙ=S?<"J ;-0/=͙ ;YXOt+[*hE.9ڂi$1evpA0-2LH IcNmLp [L5qj`m'<Wݟ' !ոB֏_{\P悩b|6q7d[ lWmH}!U q׿1?Cjv t Vm:`QgAWu%"d:'{;2|6Mpx[g,)q*h2kTi]s5w3]颌2q=c=Tߡ5xfc`t3J?L͎[}cVJp,=&jG %Rӕ<b=Tދk\o溊K [Y'4CVdWųV%RiN8]9;0W8\A2޹P108f4JoP[r<a> Zh'wGL#S]M# |Mqn쭉'|e6_wZ;݅= ! Gw5hJ{=QŗO.$K|s~y> xr|3?~s }n:$? gٕ9>V <}hO/>QRmwd$D2O[QX\ ?'/#6@l_Z. ,MoorɔiSvHBaPLGmoY()W[?KjֲgNx\P02} @0.KF˯$w8riuiY˦e>d볺[._, x,q%tmK;=;g -_&Nf,/rN 9o;ew?dg=V$3M ")bndne˲nz30wt>(x^HH+8Lo`v0oiQ8ݾWNI U_YAZS%.⟥r## 呅Je8fxlюG[3lW맶һ+e!^3% lj &/jxdz 4Ew+$G0n[6*ՎYL-IVxBޝQS/+(K^z/ķiRnߓ'y:=>Z$ڠz%|ڒ%jw/ \:8 5-ǾDS,{I#Q+~(RBrOl \{sHGpx˷!ܡxDyrevL KʆovkG*: UPt~ԴJb:PV+]v-pt$}ӧ:/֓=YW<4[64:2='o3y_#LJČe<4/D `lCk-Nc h7[#٬2#&Aho!jȕʡ5=;`|4Ğ̾>3W nO:Rav I*UE)YɫowD_徜 tMգc_}ژ= fB!@?$HI @@P6\kD%DoV%PXO.u?k<]jDz WRumБz/n򣺮?if0Ijc@-vlE l+k`ȝrK[ f#}= pO#ٗ_L R9  (?G=*~ePn{MׁL^@_ӿg7E(u>ull8.fh~mǷ_}S``4cK~A3GZ$ _09 (Zq#5JgM<|+SyO 8V;hbw2|4ࠇlz^8?zn) _O/g?/[uԤ7 mO|j\uV@XDM19c Kϓ%czTɧA=]{&$W ;{ź7#gk t @pv, xFi󔓣}'64GZ'$25A9 K1 %ePZc#$AW_!d3w1,9nm'P~fcf 8O L M0x  YRe !KȜʡ2>>Le7 D'7qs 0&{,(!V /gK?NVB5xbhv8Ok{%a"ץ)m/ ltii$ @RW=<"m+6c"Z?7fɀ%ҏ ~IBXnd߳ ՇzAZښWF`+vJY@ٶqzIFUgMl`:lz =ؠ_Ìw6 pYB7<-)0?0Cep覜΀4opp\\7u2Eqv?3h, n8Sƙ%eƜl gc/=5sd9Bgf%]+7Pd^g^~ț㠵V??G|qoTOM"}O~U`%Aϧ}xJ^72aE͕X4kw[`>vyzb\ͮkwc wecWAt_"m&[!9|tRg7/xؒݹ''hW<4hfx=6Y AILfW֌an.Nz]'E*sjCJ}ra"_\}_l'=n'M-;{qchYn /ƕn#̪@ס}SuR;%?\-|r[wRj1`?vAPWL~^{5vr P_r++5E>4 P* ZvD=0 n;qJ%aw_?L&~pp%U?;<$)f4Ʋ:K_%NWY}z˒ H?`uꩾ6Sw][5I;ІJߋ*e8[2Z}e[bJptNx|WI[2%pWbYߘ1^AVnzzoWWw?o%@e5s|k\BwPۻ23}z;l}x;D:o]W ^I=O3crx,0<`=õ`K0'5` Ӏ#tC͋J1@IDATVxJ~רsh!Q(F.:18PY6Ĕˇ` ll49k`[iAR>1{U}tһ琶'Н 5kޜa.p0:EYKj2VQ q'C÷vkȱI$]^6=*(<^{ohr6E}؀5pAK:2Q$zӷd*c&t3mNeEyF76LCz3#* WB)wzdE^x8!IMt67ҦGx` 'ph݌nf'ajv{r4/=߷r%)ǑfGoppm3i!?u ) \*<N/L;"xg0HbuW J-3Wg Ƈmɟl,NVպt=g+:vNxkPsRp8x PuP[q`^1%hWJR4w\5h{w*274@?Zbx~>O?Wc%Lrf4d\A|i`l_-3 xfK4fX{Min+ZözOGշmg ;keٰUO[Ni;jp?}Y" yY2MF?+#ɲm?$`idT toǀ \l%pnT7jʄk6/9{}f L-"0ZN,ʒIUgtq[>67˸pxU8wqMO?x\n [tsd#njL7X">8uhzܮ͞u R>מt |H>=J/&>P 1gLyl'] ՈC_eBG\DX Q=Qr|>kfuxYN5)j^>ϕ%$M@Er?Oý<7PD+4 n Lwͫk`].\+b1?`yB,Rys&D8߀BmU(t*[ o=/6 HIm!Fk~u˅M$aÔByM,tm/nÓξo646LORf91i&RCLxD ɑ;+QcC9h܋l3ה2ahݛt - $a7W46DcCѬAl7m 2G$e{hbl۩Ġk2ԇ&(pmb+m#`sn>Jh+=Vyv$h_d ?k[DXyݸ_8 4Ho16J S_f7 Uou?G.E }N?S_G.Q'; vپrt7cEoP]x =$YN{c͑1bzp e}:WL1_mWN ~K'PLK$d3x8ܧ~dV%a& Nmw_y+ \_?OӫGWpso5ɀ7OSzg_=0r>.}\!!mxGta&/ދS(Zq+Bf҄12Sҝ$o bHo'_),g|f!0&ÚnQuN3HjDflUFn~nJ-&AퟪGhU43o[MJdY6Ey_V]lsy|Qw=[yrڻ/Q;?qJJm43}SF8[&qIaXdiiqBQz mNuNЀ}ɘPfOƧT`pp(N:GL(XvXRaA3ok73H 9=렲w&xݣ̶g 9Nms:Z,hޚ6kLG0;&ЄnjvK-Spmï8nh%~>~A32>F#NHwWf`uAće`S>QcɄ213 !6w^^7Dz,umVv 4$I|{x72zK˯,60PaGxnshEYh*P2! ]wcfAksXb:=: Y_ZVvB̨`A'_5Gݭ&k/5{mW13V8=f> o [4|sݙ#}gΝwk빮=7ۼ$ r(WJvnVշ3Tů~Nu '%|xTfnf~'}̊I`Oghrڙ&ū?\[EXD*)_A`]X YY\8ĕdUY{|W|.R1_KУa$? zmcxR@e_R2%xl_/WI3Dh^w_9mQ8A Aٔ t]F{AMyV[9AռxɎ!Gvߍm/GkA7 V M5:4~{P-q4}&;8_mGRK仁9׌ 1 }ʘV&/V" %{<:|Ù0 h@`/x\|@VԽ52\Uw}ard _(G KXBwxT}SS>fI7x ^Īv<]urOջtDNpgo{W솎pN#J*'&Qo1 tɢY=>o8=z?}@e̬ KWh̋8t;/&YY ^Z {ݩNVϷ\| _~Ǎ~'OOWfv\VsǓ&ͷDƝxO4}gfCd.ڬ lP#FP[KBEah;;ǃ#J Tq?g̷IGW^|}^?kS]]J" zݗWwBVwO୸ŨGC"ۺvKB_>o lW$ۖ@~'(Ґ8B>pj@}/K6HXΡxYv)IFeY!!9^fCr?]K)_4wA>j?fc )1۞NC,h!ȠWޜp'pkʒ1MvRbt1 u=ِr"=\ǫ*`$$4|7 2PuA%c`Zp|BF]o  06աTd/pO'qdAY¨X r_I]rjtI09y=^xHz- g>J4?߶uĖxOȆc'Ooh3:]TG|JWBT3.N@kf!}޺lc5>iC&-?`ގ폞Y8=yϥmpgc,I尹en>x)۹C3 9 tV\GM"7:e1-dp=S9\^cـwlq>|Ih"`U9Iv_j4DكDPeoC+=8uq[`4ݵ-aoeJm=̾~:9 kHW-@{%l^3$(⇶hI׿2Xoj/cǭFW?VQ3]Ajo}:Ӈւy`]=꫞{^Wbz ҙo|D^ݻ["g-4l! b}UX%g%}/Ջ PPo}|Isʦ{vNKJ#Ggl֣ ׇTvI >"'1;yAH6z%{ЉxDr[虤G' ޳taO&Āc*->u%utNǖ5 j057e Y_Y2 ?7;;bxAm?0 j7l{>:ϿcϕÞ½BK!<8't]6e3G`b>88՟A[@ڪ+~j/];@rVk|5bm =?{V͚o=ҭ`x/f?qe2 9{S6}bdxCі|K:K*]7 e.. kQز`~*򵩿PSB0(>L&Bsx:﬷lE6,0B%hF,bpcgo_0Y? +d~nu $;J"v Gln_7a R(ur냢uCz`ާkAѽ&ʞ n6 W}k-6&(C}P?m^7=i3/5?w5 @Vߒo*+?S,Y13?!d,<d5DՁ+L,ȒV*fZ[ʽ%0>+oÃpځ)ܷ%ۆL|{h9d>?v,kή>|5{xl'n ybχnjCQX~tϿoLwc/ $3cB|ǩ>jrsQ1GC[zzVT)ۊt٭Vuw+52/vuS(ҙA} kC^:-3~,9Ezf1-x3`L+K^ <ޔPf fI؟,v.&@S[QǞ m0c֠@#8: *rn.)쿐Shp$:t-7Tcc0[{!YbCRPm'ٚ0) AiCrZڋ$u^pg_zKER8L9C3 t d72H3AYNnVVW8cj2ldf8%/a~eÂ;] bKe>N֓RcuAg$řu` *j]o0=)'i?e_~U'W寯oM+-K<,S[L adʰz/1p=K-nj"WGrd, ԊY{v;ܪq|fޗ9OoزSyy×Yf>N M+ t@$VIŇ_ϯ곇ϧoGW=V,p/z'%a u낚~Y1w!eqyxLG~AOKX|zO?M}<.kCt}.Vj@mې&פVմ&]gq7}wV[<o:.\rщfKN6ևdxοZB`P ή${aJ .N^|{xcU^v{zȒAnm gf'TVptFAз ,cSuV7~IʲSeoֿW ~/}GO혹226kW%г^[A+` 8V[F%+Yo|AhO|ZKd'9.K-* wxﮎ6Tt^u~~ð;żatM; ~:p,$]vLȀtډEɢR n&^Uim@OOGő;hW7wd9Ûni=ı[e;tb*tgÝS٤:q[lyƑp2+?y|mV5%xasb?k oJ:P_/qM2ΫG3WnՑ3w+ }drЯto߃M>^>n>sXΏcJ66)gPf}]N͗ίSYv֭mbaroY$J@YU_p t'LuxEbz$c8Lo< %]mٗf>^!?Bdž f|♗\E8-^d1^|1Ev}:/>qޓ~ʇVOzi^e[yĒģњOh_VP7$Yb>p+?&  3P j :r tl*2W=*!A;u f3@l),xn>dY.KMe e6lyfATNcZ6=z8k{}l7&xǖ~xjV[.3:+i[rc2X`O^&̷F!6t =(xћuTNhrѡhIIP!y?nD>~+Aa ȍ+G 񋂎g=J C+bAj3%߇7[ؠ͂ &U32`{AOz@D؃7O $v [q75o9G~UEbɱ3 Nז>y47w ݢܳ/jz xt |V+]E);@%^yCS %%N]2'ƫtAf[j@x"W,瓰ؗK Njۗ,x{-iߒbÃCSΠ>󑯻fW5\C7 ٹ O+ ~8^D]1q%n(Vh?g<%T;}}{|N&5gO`?+O9/`Z3?{3|4\Tr](<'a2*r\ЯhK,A?+:ǯjwߗLkG>z#:(u1؛2*37 \eNqBKy9o -Fl`qӮUWn+<?p%5Եs>tO#P A BAsKAzsgTOaRܽ=kxu? OJfWRa}J?v0)'O^Kv͈jqtV; ;@to$]m2wOjo޺g=FZ|MmZ.k:I8X] jO4OEx౧d=+'d7$ זhWd{L1hd3~hIМR~'k? Y>%I_ G܁@8*8@2e3myÛf>TCd4p-/|Q$ƚ7!-6>GB8 b]bBәCs85U༠}ل3UAr " ,_D)1p˂VdNrlx,{)?yqX8QGUg#&Y͌owFAʖWgSNlS|6[. %˫6[nKIjL:\n+d!1{ɕ-V?frXe?бcKkv %$^ZmdN#(I Թ0e_ƣ02 \*5LfRBVmoag(ԱصG vPedu2fYeg+LdfB"Ua:&Y uP2nq.E2;`7"$y/ {w 晻kGߴ@&hgj?5\B#,@Wdrq’pt2hhtE,ར1Sݵܖl w~&@͚tI=9it="L3Jrw=O VG 9X6YuWmGwڻߞFFꬅ;imW-YVΧ_t_{+7%Ӿi6{_݁4Ax#>k@) V_uW-՗ ?i,V*O;f͒1''C<%i(Yg 'ңP&)k@+L{΍w@7K 9sd^sn`U$vO2$kƃ<w[20 6XӺo\L*_?tpvLDV$9}`{K[MI"ҙ@+۶&`neB9ѠAY%7O +Oow+ EL37 6޺.9.5d5d(vab?y`stV QV }ũ _ : RrPƋ"9t`EѸ񋵦R/x[=?Id\(薾>@-*ѮOޢ١dHJ.w`=0!X]ۤNjJN,nI?o>nR6N}q[r֩dPXk}huW%+kX@^Mtw[ڭs,W< wƟtWm ᆒ^Y.pou}ėȩut[ۇꝭMz F;e( ,NI9l0pC/4ێbΟnRyu}VdLr&"뛬(nrf؆EG}7,NńaNLJ-I#=yKi{{J,z8?ƧS~ 7,ï>mɏ&$gXt | Z{s-|LM@M6wAdm_ز &ۗ_x,z7OWϿio/[/gUi_o>o/ Awl<119CtH#jX Ta @SȒ'tաfۛU!.Ӑ$&' 8uclppMnIm=J .>:!`T3΃g`Ζ|덧 Px@GTP0(-Ӛ\-wzsK`6w˞-aot4hn>+͌Zi0%(^;dr> ?8wȦKfKw޳@F'C d-6Y@"LZP~ʨ&MHXIW1/+əeEX0E᩶Bn˹3@AD ?tA~dHh0t`ݒ #{wzuLky[a8ޜAuh%icGx U`a,7{$rX3+:v7H85Z ZAbwo;D7>?.j%^x"z["ޓf ?*q3 9Jn36_]={fƋ=ӖGkoo}Rv4=j0[zhXw;?Q+Σ$|Ǐ23QErdmRn${Uf? 3:gٙ/?g7]M{zGd8y|XvgxSMUl6kv[?RX,*\fdׂh¿h>M̹Bj1~dKQߍދ/7٘p1TkK3'?plJz `+pzSbݠJ*+Ot_cxU bl_{\e}B?o} &0^x^iA ̬q*\#e!:T|֏W㽄_*V#Q1,$(lY`.ZSDf$v|K{ߖt]8O_wv ?ֶFI3$to'990 !&#xܢ~˕HuCً^R6xlډ9h߹)medO3DtÓ{1!, }~W<7Aa~|xa;u -wýwIDmdWU{c<ӏC[~e|T.yZwsN6M)zAZe'Jm x8t 0[W}qAW//C\>+C_=ŅQH[;HBOD${p_.jܟd)F?\>7=o䚸 NFNbM0TnqUNa M:Lf(h`o 8TE^_ǿWO//}cmōqNݮGv*fzw=)&%G)Z |Җ'<0]yǜKe%tlm&?/:k*u^nt˃rKF l\>+9zx:,IWpjW:UyU^WGDomڽΦ nOA0,XH&GP˙ v{ɠs{ȯ;OZtdOZPKPàs%^lmInW#?4~uN7Y`.:W%hNů=iی[%]/%~Ѿ {tG[9دipy_7*,ی2zxy/I6\[m 8`e`Y챿-ZGvRfwLc/lU9A03qi D`JڙvnW-f l2o'qQ5ݫm(~dw;Jw.v&pUlr8A}pZNL{|wu0eTҹSSj Qa@(l-ْ1ѡZEEp $,_|dG"}6z$X"yu˛>_࿺齾7.`|h~s3!nf Žx6_):w\T8\yL D.BNX+oA隸g}z҉ =lIVUEܫb=wmަaOr6\}V*+pҩx4Ok;{W;{go_#l:a|V{gw?;7(} ؕŊiqDג}{?zne/.LTPάz׬^wGU"W8W`ȹ'&:ΖEVSM9[A>47]tA /w9i~['Ϯ3a\0]2Sޫo~/EC[W'rW_.܂x|hH7[[&ؙ4x{P$Xq zJGW6SҨW ;Sބ%G3x:w 'QM죂>3`ܭ^J)ى]! T/#ݣ;h4+˨) f|)͇ҪN80NTN1<gcTg'2_ĩUPM) 3`7˸1ZdOS-1xS|+bۜNj,ʉs| {9epז6Ocaֻ?ߔtg;FVFLq$,x3Y) =`V7%/_)&Q1 %:s:H||ƷavIdG\GOOxma^:t '>E ϠU?ӑ1Rdy|F&[_4E6^cKܮc9<XY"=' 5cx㛞* H>3rxܒU]09N8u`Oiw[5 OߺA{uO %B*m<ϦU _s@il;`EU8![8pXR,#ق޺1lWvgāGmThK]i4r8A&'AZjV J n8F'9XE0ZYhk[w}zaG9:yK=ax-bw>{* .+^cTaOΟw8 h{ 0g S~^6e倥V9g{~}MVw[Jw+G%O{Cڒi;OC(&Vg|fl2,9(i\~'II_$xV8< :/vPti'Q{y.jJ>a ,0*?@ޯhOθEЦp_jcHx3vW懃<06RcV 5d>CAQ*gt)Z=Blp?N%-vߞPܮGG\_róv"9Psk]Ûy1 s/ eCp6^^:D}+9Y?Ti;نdGunzzU6N=FW1iM@H)󾶆A:v+]lM!|-Hs] v?$ƣ`-ѩ!Xga_.(U _^lۭ3D#9H:x ]jmcWIhk/_d˦·-&MFNG"z\HSY&x\omu]ڶoncydgΥhG`+9xpO4™kB'S#~A]BǑsʐepU 7aJ?r^14v.R l?&zF8S#slOmdF,]̰<ʪúK}#I+hs@+ vJ24Öbku'3| Cdף]A:."+\L `)S%{>h2JC9Y(QG^6uX竟%m{t(~X/A |n:}% ^t ee6&i9yPZ!e2fx%Ia@U-CVM^৫pgьfٔdӶmp$Rv;1kC<4{=\rn$HNjc3Uz ݏ'_fdZ@tQ-drbds2^_Y^\-="^'"$\d#@cGfɀǒYY3KUwOB5yq>]C:-{3ݖ"#zBm ~w8X//1el n/hSc_p~v]D/l%wݣ Tч ;^m5 v:PwY}8t!w򁛾M_`x=tjU4lpcjC6wNYp8x~_dc(7za Z-&d^~'Ē5[% _K9߀{SnK |ѳo/0yʯ4~KmہYO;=J7ߎ𴄞eө}TҎU@fuF΂#O>(Zvg+JF'<騺$ ]Dm䤬UځI0z<3zkJ IN̆P 6}w䒛p @6c3 kx1{ȏ'ќ/e0~yߒӮq,e'9qWqP?:KjGr*~v7:>P_=2 VMRןb ?6ͬU½.v`IX^. B`so߳ԛ^o8Ho,͐LdK)7`£ u8HTfǟ[J[ȸJ\4.|f_zM)}< @u&|j08ErߗW"bPʩR{/8cgf]XŁt*h# !O2JZZnx\vq0 GO7I4ft'U&؉-Cͭ`Y튤;tH,ghk#Bf` O?'=%Q, ŒO%Tv4]DMܽsJrU=ldBE oɑ"`%/$^ݢ 88ώ$R.N6ણ4{=τ1_[^=\ZYL槭 ] ս~/)Z\Ư.kk/۽Ya0Őhh9/<M?9|ܪyЀo0e#i3Z1Rtm{Y=:lva.tэڋ.fz7*\zsB#(tn^]Ê{cuh!gˇ1ePASl&uVP/՛/z|~;޾';,=>ǐ@aq-_1ڛ.f$Xh_;O/"xAB;C_4ѡ/B ]oFvk:^|[ȍ>F]֨gh J  .!-΁Yb58u 2\pJ 7(q4:4 g?b`Ppt0e#gtgl;[_3&o fk@h[2؅U'Rqu'mQEgr2N'W@B&.-& d.M>tesw ^c@W&iԜGIH쐒#+.)!p }ۃ7Oc1仯yi )F:e]?)3WL`;(H)J%80a]\C}8XKHp>C:?V*="moM"WY{P=l)MR׵yВi?4ϾOkSO[wϧ6Y%fG[=i%?'6pmh>K!}=OeKؖ?3i)eNW$LxvsT?.d EK{xXMq]Bnғg%>FK'af]*z!h'ty[A ?:|Tg٨X^mEW gG;y8K+*L' n|rlpa @<C *BsWߕLHUhdV~>Lmx̏ix8)O7IDg!kk&XtYx߾ñ+]O|xoG_fs>$ؚZ"6A&hTw*J7v; ~ޕWEѽI}N`{ЙwgV+NxW7aaG ,%a}%\RB}] נDl)|+> u_uQKz.Tm_?3A-좛Y]5 #,5m7k gpk A1OwUm%DzOrpψF H;(lE딘ϩİ15]F?j568cu+Kn~蕧üo{6[=@eX4{8M9[v?u/d0wĮ M>-v݀n\Ї{6ySvwᭃl-_;;+/O M8;qb`[de ȡ쇻rG ƻNߙ_ҚgO*YԄtMIIϘ2cq|H}6=5|[r2G/}i7>~VU֡\oUXտ)o箋<=H?(DWhx#h&{_?z$$gxyߪh40]yL$IW#t9Zf6U\Pw=qYn}3LhS ,o!XːRZےnVB lC`gt 20W\N _F4,Pg'K׉ږq;)qɛmdȽΒ!Ѳ};/xPa?r (]jFQ^ZY (:v-a,(,R2sXhK|e(ed[Rl]TNFҠ΁qo ${L.`3ftyK^p[6~0^6m[y:yY[8nP$:m0pf7N)^Mڷ M:pAڂ#zb^ct*GEKruV< 伏&"guɂ:Kw:3ژrB(~5wl$RɅ%0k|yvޑaeI)ǚ<1']89\QH)9z-,tx Ӥ0%5\_z9>,@!z[Um5t.4U?,3fQUt2k+}:.PZk 0Iku5;&p2L=9;go)>'~:S37cݭz,dz7p@%HŋW&tڣ$N'S'm?;gBe Ҫ/fKZ7UaS?n`\7NUvFvAx?7;.jkAo6f*؟Ѕﳷd66sL`v /}QI ]+[I6yѣlWAFmO;Q+wU/+ lx+b^We;Xk@V8rM;g'ԏ;[im~PlD}vmPLS]]Vx͢_uO?n`X*gfH_7#Zww/hX^yl"}uU}|V; @]%յ3W`lm`o<.D}?^}pOlpRӌOEfP}WJf;t{ϧ>D,|r][b]-38k:3|W(!?2qTy]Gd4+] t(~ :[O-Cnͯϝx9; $x8bv`oy%X7TaE.ϕS&C%;mǿOF*,,ۭ:DaML^GW%#z=.o}2{M!3xx<+.=F#zg2Wx-0ơ'đ##3p諠QG`i_e)h1d2qh90ûi>Zr ET ӈv<^0xĸ|<=#:(F. ~ЗL(=^/ ئzf,myCP e:Tr41]۬NlT-l)-NfG~mO=@I^7`~ƒQ{ShJPĐ$(u4ʎ|CN!yeW>䞏YPNfĢl ѭ:Sܲ l7.͠ߩY9%L\ Vת[J'\z:@|&Ge"ö{޶rE ײ<0ȹAw52SmB0S2@`zj'ཫc:ʰ]ѻ%MjN RfO?INz@ջ:QZ2}R vLN22pOy67`@|Ʒ~ٞ$Okkk2ξ 3[➒ `fٵ|_5#|v,!D$ϝv{z-oMXn:)~z5>ꚥܲ| >ɳGawuS-g_{'I.槢Az|6$,}b V*Dã=?]_2K}Ѫ~ :g\{gѷ=r=ʞ>M- ɶ^`wG ߙ5W#>y^o4UN"EVrwIX{=ߔ񍞶B&ǣăWӖ+菤bI~OW$ p /T쐍xdiKK t E"^Gɮ5m{sV~/(3U~3lMڪx}']ٓ{Ӕ 픖 <\ _5Op/$D;^lz ~Up#ق~ iק O[[ZvJ[vѧv dDn5ZٯP~S> !Z >.MDX~}yg,W$f` X!Fac0cZ|kpCUn6QYsE*צѫ0~1.?`by_Wmsk5ʹW!߃^4a5 |o8Ġ;-{L29Aׅ%!p1XrЩ\]9~܇ hJ}+]~ք^ևbN ZS@#-^g+0k[ȅ|Ζ^$ۘ Οn\d`s!=> L?|֔~wkg `B(km7he|wO$LL¢8U6` ݗƅbgzuL|YZz S=4n^htGGu+KD?vv>,p>_A/t{@!6nKٖٿ+6w^wWϾ_5z;WѬh6!<:as 7Ϯ|ӫZT# [{ Jt[+L BAB>|MNDva>1'S $ 3ǙEY.DpJgS9I&嵿PPfWWܟ.,);p3nO2S3f -fwsf׭u"Xa84C|' !ډs+hM:uVQpޙP>˘LƓ팀9ڴLbkrܕp2xїM5H\QbǨt9͡ZCy(2xfoߪɥ6v>cND1* ɜQusCOD ׁҩ;r LK ɑd$xgJ c|QPVl&2r^[]Azm%G fP!p~g.}Y afӿ}L`GD;:b|ਣ3g ^|=SDƐ>Xh5M82lrc, ;4G^6 >P߀,s\؁[N5F;ִr>{ydrD0|>!Ͷҷ%fO~^EǁK)[Y%[7ۣ'kGІx`ଣ[G/$ `tmx&~COYIÑ;+o>\}7u0{њL,k[@ e <]!~oچl0tڮ9(>/?&l*^Oݬ޶G+leN6'ǎZ||BAWmi_ Z1R*Ÿd-l|Y<.D.Pqݮ'(ٞtjZ[6J$6x4{#=޾#k6a~>=_3U ~g /J!2)1۷sݏ,Z#|Mp,vz821P}I2YXI $|Qi+czs}۽ 'SZ{Dzh./ީF^jH\4khZ{bmESxp.zɩ 8 pS`eOcT/9\ïݻ5,~g{?k V㇐V$Q4i>?=; #? [zQnIN:%ANy2]1Np v6[Y+X$?8 yzOΛ )$ET/1uY$NUfwnkejc1N]iSl2W@j?o~wh0O;ʅ㋺Ml%oJ4v%6Ů`o~?t,co8.r２+D/d[%6?q?}`IV[_=?f:|M_a'}b7oO 6|Ç[H 7߇_q|lK{kf}ROSa;[)rd“_7a8Mpkd ǧ>ms^p]Fv%J1H[m 3dSie+C]kkps4YŰy;:eN~"c aSRZFL HGR~W_շ_}{~Ӓ | GCK{!ow[^;7^.;c}UŃ)o?[6_/1-e\ ,v)7ϭ86p蘵h{BStDq,˒`tHg+[z!>FU &|>0BҙlX}/7%ׯ:4Ŭ-@3Z܃-H{K<RR F 6`[n%e0:Ks-@1(eo$d)V }WŻY}rd,S>^5SheEu,|!qfn5p=|ӥ~QVp/MV8c~O 𝲊{܌1q4TA4p] _:,^$ + >òa @jFx99QGlUG`5t Ut:^hH$ƿfF (jzP~%nsӫ44^C=HYߗr[VOR9?88}'_-_"SpM#][}c<)|Pp ̯C>,XhS ?kSm9y}“]*.9+ J(cS]f%l~[t99ApU\gkvW2I~f%,I`wߝͷϯw휤8`V"776OW_~/~emuH`|o!)צA=x~%h"Ȫ;k-@RЬCBr؟ _O#l((Ahx=YRSoU흹r͹rNVY8cyɡ$4J33ta[ˢ!b*|% Ъ̏E9& -@OO|V'﷒+ [ Ԥ%6D7Qmy*gf&d5_2$ӧg7'Mkյn}S·_eMrg@svcɣ>%Ap /@@4&׃gs(? ^;G>ܼ|@=+@]r5]QlWUnDcx|o.f(A=t w|*ݫzls&.iPO*7#>۠mect .?VyhrꝄAPѵ+=E.@ާXC}/a l/F󩣯\` %:aGKŔ`sdA!x~@<=INɾ5~_{Ϥ}Gkg#0e9/=`Hu^G3~~EGT(($o&kxs]-'Ũ ;`/Q$)$GJ>4<=JNj>X?\^*VA<7_%A H=}C++Τ\bc1`T\ 7QYᒛt*͟2O\7/*^EEvK+͒;k焩x&H0rOB b6-m3;mnJXWC>cWf3ƇgEACswXB7&%z]tE ?x(7YN(sLNQӅq|ݱ1(C,%tɯ #5tOg)'|KC/xے&ad,"U(>剝hO%ߌ{7g^;+X=c3rzsx w"8{8[Է{2;gMRhp݁͡r^'8'YF¡Y뺍Mաzf |Ăϱ%)Tuev%}zzĻ@%F K y~`sCKu9P&iVqʋpX5CzBt0uH%T5 o,@`}O?Nz%YզDyYы/˴B!N}6{ GG-'g[ 8UaE6ڒPďj] @Z/X! bpKDYə2{;Te/0Ɋ9=M[Nꇻk86cN#(l?VڵO} #t/[f?A>>Ury2|`>2M3~~U-k;tڿs ,ߓ{o>l/JOJTwZ*=ߌ`h@ޏ~ʂжD']} ~oyp|}γA[ۤ){㮬zgOxm-+?dfv-\`G7Gqk߿0t!?O_nz?WΜϹ)oC0=\-?z]6,*%GqXA}XtO];+ hOs7)Jd^'1E0gs]<=;=%4jrl3˴NW9\O^߇.<אL5gvKna8l@\i eO~x '0v)_qW_kb7_jGOnW7v(77uO=X2k0?KLdw/;hk΂H_O6fۭPfS%3꘰0!B6fpߖ|xQW' ?pX=YK ܲj,r&{' h9b\'3B3#ڵ ,X!4RR=r%/Yc1E2 2oǮq9 O;ų2>9;-S}X*F베/sJь4*gxRIf<~=T/;>!=iَâ(< #hw-GzpX0`YhmqJDa҂L)kxj `i/$Ag=}pj3A^3X%PHY3Y9-͹?0Yjdp`d\7Փz7qrg^tpR-T`/m7yf+ Tcv0*{]{UD2/?i׋ 8f?u /,9x Nl]I31NSYY,#=f)UYN!9莮krOfN>}=s}S>\ [Wd [ҽ 6t#n4Q ^w tEL¤Jd:$v- kʂ ntʧh(!R/}lDLuy8}'F|dzb$:ǩ޽Ln&n[qՏMlU~+jC7>u+d>T_ПUh  tullٓzDvvuU=]\ZtipWmONKGFx~)tb@}bSI*?\y_.0sRjʪ(;ɴӻWFZ,~d&rfd[^r>wf]Yx ZNQwvYQ,kƗ_|qEg]Z7l%;A+:OM2hiB];#fج {*V AĝNpFğ pn-X0mnN8ˁ}cNq$PM_=kңKgˊVVe_A3:_`[6H'yW٧[!2v$39&u lʷi[)eVERb}N6|zy4낔#1u%|%(d%^$C3'\A~ %2~ٟ<}/ Sz[3bë$@8j3Ɩ &G:.@>_ Џy^9x,ԶD*s`=ĉ-/rmiU;iTZv_޽зoVbrkfegAzubc8^&M +A1K#$kӵ R >1DR}~g5k`$]pvtrkc_<ё+I?0U#}[>Fs=+v:}`8_ѐ]xuv/;|t*ީy I2Pmeb:q8O!`,vVpYQ̹gU_!uئՏm"!=vNavp8۠˲bIQu¶VtJ̊MQUEeYStnAfxNFdcGɴ Tk4CdOƒ/Q`l]۷ue'?~jkwíLJ c4[=xjPud_bn Oo/'ӟMkz͇B:glƉ}+|pQ,խ9+V^N|l7qn=ҸF" O]ȮvIX ^+KVxu8ޠl<`]u,ѫlcGfϊ 9h`7h⁢[ctp1*2/SqU 5ⷳ޷nh€MGŴ\iàƏpJLR4:zkcPr.݋3y|r?g_-ֺn¤Bx& 3?6Ic>Qc|.w>\{Uś NGaU"ؔ_NArN )C޵w 6|Zf-\xCG `cDMf<鹛\}~AGc:e ,2z߀.LPrDSg #[kg`0% 2: ˖??3e8?ikϭ,<]/(M? B׏ĊBp:=G:J!loK([ -#mdLA@x Q~{Y {-kωIb(K'J A- ک#6Ů w\x0q.%Dl1' HY4H}.g?t33NCqRPoU׵~ *N. 3fC.U*tXS7['U9v9 \gT7sP6/-UTu,Qu(Tp9)89k`jv8q5|BtC"AZ 3eWzCgt5XLK裯u9~zgJu/}t=UMuU<àrl6 deY#ϪMc8l>jٖtiWTo><$/rFd`wwnN5~ ^dSd㒕[/~Ynj8{PPnuV3wR9t{?{i~/z$SKCc~"GƳȲRto W_/KXAV $lΠ*m=Hpk7tH~Ofm Y:d߾@GiKڷ9e]շ!IT%y ) ..3]+|l}4Pfhc񋟯̬5e+ g՝ke̶ 6OҚi&>?;cG`\߁Aћ{=ɟO|lCvVymre@NH.ego,nXÔyvrCjpkn^мWJq'B/t @+Oh! W7/~(:?Ns1ќ~VW]yǀ/v6*YV_pcE'1nU6u4Vku Ictmy}H3sN<[<?D$6 _TEm3r_]?J~kmP Ł&ctՀW}VHx"M01}ѝ~h? !}H xqYU(yrޮ|ǷhׯKֶ~BWI%]TjMᡜnۓ<#?]xԏw6 JMAV5W \r;C 9z{:W? hc/oi'N >) ڎj_+t!ipԵ%?}fCU{OxHH>]NLэ7BtJ#.#豐NZח8g[JK۪Ɍx&C9g5@rCsj[mL Ebw/˥A~0Vi*P=/O[`.JG18TK(TZaȜe ]-sE9-0:)~LQwVYʨB He@tQhw )gtX  @+:ma+ȏ5c)̾-Yh5a(Ke/@T`5N4!CŔ Uz]wYby{=ޡ%dG}fah)@yr)=u27bNaX)up>=с/ȵ~hѿ{w{=u̞ { 3OM(̶-f<-}yL}OqZw9{ra?Ɯ-_3X$uO~ONQt\p ' gcsݙsEv0NPe}f+UxJK#ǘ䒝lǨL|~sKxunuޖy˗W -]SʝЋN9ɻ?7XgtL#9)ƴ}_P_W*: Ћ8ftu OVT<}P`zY~!?/fmAQy ox،|.`М7thϾVՔl< :hF뒚Ϟv`OG~k܋Y37+RBz|2p~yO0pK Oǻ%7-i3@h+~l1>(٠\>G$wӼL4k9B*kN ] Z~;x%Mp "]z(2t!؀ M!y rU$9s9R3w 7=~hGcrxph_2ʺW];2' =^ӷ@Wr_a wp5`si ;PghӇ! ҥ!c߻w΢!+m ϒZs# ~g%s}7J=)ZM;D;ϛM1W_3^ts)`D%%BkU{t+?7o$nt\W5AKVnV>"&#$ sF_Ά\Fn6K9J.=p߫?%5'|gW[%(io0~%{rƕ"ŨD!SxԗnInny=eMT̕u f|:R)C݈sR6)dFqH rJbт_Ah21p6iuߣ#n;[nsQc0%icj-VR0f-oG+?i=L_ՉT6S[p,pIוTֳ۳V &&mPsZ/=#|^p;4䗳o7-HEYȌ7e@ ?qW8zC20Tlr A,( L|?lY> OتAvG'QEy0 fr܌LΥ ICOҙ OG=%N7$Zi^3ڠu8w*q8xVD5f p0co~Zz- '??܉K*|WX8+>(@4#ș-Mߒ&aرe3]<`GsZ鹖‰d^Ӂjcoqė>rpf caS'u]_ٔlN Nj?ݜHKw=#@W,(ԁp>{ 1~˱WDhVW6۾(0f |t[eRB//N0<6ujSR^m?|Z5w>G+ ]L_J'_AXa ֋%%K\lM ҝ7~͟\;_CU:/I%ij]H*pc`~'SK|/;l' By:PIIOIa%8Y~et Q]d-ڽxLnSz: q.א&63)tqfA/&ouEkzI ,^u($[ȜNa,ƿne6qQ>~pblbI"X̧^`ǧVtĻB j wo.q5V^%c3U: k[:1b3nޑ :0t`I*x~NR$>=-O7I>֟x v_[GxL. ҂&p}p ~QvE6GU˞V?yC'Nm?O5y]gЂ7[!M jr =8Kn|>>+j I_CVrm`]k0gDέOtF+ t}G=?^Fu&KeD?sמ1;_LVv`bdkqw*9;$%egss$g4kO=6F,@nӕ;bA8nLҩ՛oY|ÓUc&Mx2ܷSӹF[0XMe\̀o*_iArzӛg7wEUmEk5S`6f|dL7'sl%gq1/o>o~mb#c"Nwt-E{OQ=$I"կ͐B!u|Ll(Û+C` /86C@0f]004ۡM2ォHy(\Lr`sXn'= ~ 3ra+@m63k3T\(v s5+ID@α[4]#-Bx>V8A솷`#.u0'H^ЫD^_.Ou5Vx6Z&q2c3-bf p $U5.Ϡ'ǿW9ytX ]kCԭnwZou/á}}~n3aV} ,Uog%nOZ`LF)Ks .蒝A qxuto]9s9͞RJ4?|qi2VfGq?|ZA<A>~Hvǖl/|f7O;8>K@|N.m :4og |\"OQ2W^Yx}2!xdzU!.>Kxw?m^IQMxy!(ty*›^ҏteA3EH]C*6wx`nG[:CVp3KS.߱[mǯ7#蟭le"º9OR̸8v ~|bz%l\Ggݭc񕩴mfZ\+3v Y]>)21잽 \p& ћ̫GT=ߗ׺`olN?POm?B)\pu`Ł=XFYyMfpND7p֙|ÏM'%ǧ:S!_dI1>$)b Fz}–  ZE\\_@)k!x!wxj|t:ca}..Jzز?:IX?irಛ;]{s:ķ'Z|zF`awA>Z3G39Š>-|դ;o.bz[q%טA>deÁ^;G+Ćۡ2@=}. ܻG.HF/>|wMC ">M =~a1@VR^h6Qi,B?z;0Ȩ)Ue xh&k+凎w ~x4~Ow.yKӭK 2xhYƢwƚVxo<6ߘh6>;>>J̈́yY'O>h_;B&֡|gfآ?˛O?OӞ VN~|sǏEv̀͠હ]/iEq}c"O|:(d^&cc&ݵRuOp&UbQw%"/ד%QNP~lJc,ᨿLP#@6h&)PHA.lFb41pϭ?̆O[\@e8'@[V8 |Z\1@FO{yX,ͱ‹ܻV*~Ip rfXEpYѯa'xzƴԷ 234~>&9N3”AS-N!%!gl%c{4_pdme7dCn[/k` Z)fNҀ*9p` =vt'8 ^-ِ#wYWd@|h _::䟜&p 3؎ ard}$<, IO8U}}vz}x9T^9Ra3I݂+MْbE̸6K} -i:u8c<"9I^:;sDKH%ݬNr2 Ly]٠!0M>q \@t hA+x|J<_rf3BCEޚJ}EGj3MmOcn`K~x5 ݵ5/t5K6uجfk6K8Gߜ@PT,pM4M +%g|"'FCg`nfB$cۇ3򃒤/ӻmIW'iZA:^d:+%},?f2MO>nKS%)_e@@YG )u\l{W٠^MK ̇iw989S6G={-YUA[5%*݅Il~Q {I69 #= 7{m8ڪFOKeԎr~w=2&i>g~c+YY|4=to{z3h: ToQ J6Vѭ.'cs`Gh<pcGAl w)zl#x|>Zu&hqh\ڛ8c!|ꯪ\~/&;zR|:Y:}S" z&d?$O ϿjuST5~_(Y۵D<} 6C>1E9oa^DWɘ})46d9p/#6sgokW^a?l2zX\3jau2y 3M k94zB&ڷ%G擧ŝt^'Od䡴L. MK<"c{P),p:Ђ-5fCP)1(y(e(zeSpNuu^h0 *;e8YCxu<% FaxŠ : tCe.[ߎ`ޤo ^ FS{ a~J +<[% ˄L=|<0Z-w/Ul8lgx绂g8$~ r}&C=v`/ߚ]b[J[ų-U~T_GaOl<}mw{:}JD jϾB9 AVgᠽnѩk[w.,`Y`FѶdV70gC*<ΫMeE˨_4`ƉOYcvѫAcȁZYeZu^jȜ-۷ĞI8Td:-9~ǫ :):v'9nev(þ0xM[ 4ċ`A 1p_nϓvpPgsH9'6=:dglq  ϡ|gk1LF>6y}Ax4)v(2 ~'_ OYYO-EC Xbt,- jۡ'?A;WWgsNnUv ::d>k5]0\%$l;:hyp$8S `~̽'(BE$>E܂ʱU2}4ToJ4w>ZA4ՠͶuﺝdJgos^jO7*l\p8FQt{Em_d%ؕ2[?n?rQ;dkTeOXtJr܌7G !H:[Gv[KS *N =,ݷczOOxJHN"^g@YT\=MR*ac\u7Ʒ []tCz-b C7j )ݛ( tʝ ~ T%#JW/}8ߪ +Hƛ,vow7 HX gPK%o@%Jaj0D0_ɾA; F:}M4U&-_9 N"R0_0]57;n6cefMqvlez}<'z]]4\C|N.+N?}|̑dlt 8f!lu#t< [r ;Sae2yY5 /:jcg5ԘrOtǏ}LG7q?#}LL>}[$Ew7!r7.蟭g~~V>\_[ RzPn %֎l+#K4,N Xlx`K]bqJ̪㡶_wzLck0o9 ^4ϣT1V߭N_%fp6Y#!GwKN8&ر*pVNo.Ww/J6lg7_|%4iI'3G5_UYqE~p~_}u_rOo~S,|*A<1Ѷ:jȏ}XJ>uxY wwi)c3(9>5 "d8;<q;e(~;N]{Ӳi b6bOѩPFr \b6Ps^~egkKGY YK(8x>'ޣV9`08<MX`R(\xpTfS`d o{Fl '^$c>k[i9YPlWR ~kIǸu& jXDpVu1.m@xfľi|pttYˏ~f$8f>k?r6R&^MNfh' _>ZҳO'F!HjMF2S]H0xgNl p"7#58r5$8_Nk:u f=solg D`X/5`"I`V'h``{E˒_yt 8a޻tqcʲ=䣣slؠV|HiM ,QN_,WFu>=g67^c\BFcSjrWxg,hX\(_e0߻{]foId@/٤m@So0*KXY}uPf2ͼ+/ ):"~ 9 ^L=2N4xΪ`3̃6CI9' }A3c}9n偀t|79*rvU ovi~} od [_6cy9*gGpïՇbC"gCRR_Ү74?_WsXN ȦC{Uc}p=*Ʀ<^k3ȩ@]No9ԕj6~jɵo3P t ># F۵ukj PiՓAr3WF诊9p(pC`vh:,hȨ/g1VQk$Z,kͷ{|6=1"lBǛF{x*' kSb=G&MSՒbe+p3*)+N߳_W_Ng{vq"Q rlW\#tƣW= gm_q{&8,'(ӄ{T_(F{6/9EMH3<;=Nt A>3SLqsV0[^E_͟%|ArI8{sS̋!{7so?_ƒo>39I1ekp;ٚЋ7z1ܽ~rsG7w~kt)`I96gf7(f62P1(Xj2$Tc,.\jsFZ):J2D?!jjj^;~E#OuH$V kڌ3r{Z-%Gճu Υ}Kea8q1EN+_PL En}nDP zQueG%GV {VodIr:UN@Zpr8o@'PS݋cQd;~Lu(mW'mט4\PhQ[c1@87o+l(x`lK(AkwX:Pmv'7!zhoYZ \G-c;=mOXճ*~ZRUmE$Π*Go~"EKq7WF>{VLl>_UcMMqWOlA΀?aK7؅>ź|ڴm?Ϳ,q8*7xNs ]ij8Mqr:,F16<6F'V>FX=[ gLGukJtf֧M^t/|Oc:Sx%69?`H  ;sv%o׿JooZc-qͫyb1mc? ح.akғ ~LV&P^ŷW鱄|66яr-: U/š1qఫd9gm$VcW%R$t yFS #DvdX8f$jh4z`b[Q S-9:f [­-,s$%lYcrd--m@PEDc9F`Hjj7 _fdg ei$Oif"\w`R8f Jt|r:V8T ~]˕qwÀ朊C?j/'A3wr4TjpUt ƥ@m$6x}u||2fz:9ʡI˝]o;9b}RTuwQBd)NSy{d;ю} Fj9\;,d5=Z4֦} k|Kg6 NDb=Я/;ϿRi`::NлN=azk %(uh {p]YI3\*eb3ۼZ|{ᆷ[p%%gd"d!כ-O^u؃K_TnM}M^_mVgJ`{x%,9 o{jct5/G>79!+֗VcŇ3$iXP%'@Z8g]~eLKlݠ#C'.ǺتhB;hlmU[nhO`p9 =Z_}*Ղ?PM}Osqf >wt"TfdqtSt&9sŁՇvdpDU7-u)\߯I7={Nu;-^]|2b%ҟҗ#Poum&9o iڌ),Qڄ!LO^j/qٞՒLV }WNR X'}qGIfGU\^ژ\*_N_ޅg>@\Y`Ml}Gn%D׶ g8,Aו" σi$>We;,9;tV@7=DYT]?Ѹ$"XO 3G ?bg__rQ僧v ͝?ǿ5foZ04A+nفYehAp3f_p8r9N r>2SlmwJs\0`yf8zP>=PVX[OBQvBGvNmz2-STJgA%!p.3$NX(,gu(+)QA*YMJXsExSHOMA tTyh4xd1|ucఌr6Kśh,9+>Gӓ,sģޠtV#938sh`bӮ*SnE g+^=@P\!9h5Y`?Ȕ?Y--D8ui="fk ef+Kr>',ajI"7pf,݀34HM4hTL:`&]Pϡ A6hفMV"A3Ir2d:,^ӉiaE t@jc hzE|"ZGU&GIdet p9~Îlv54 `b&bn>7pT$>[FCUBwLxuᠮ,хN鐁?ݬDR@_?K` Բ#n]ma8Hj"r`gç= <~Gٽ|9!_6.ҫP?o| O>IyZ;@nUPֹ ӳ5gV/f *vzN6 ^؊.|۷"z[~Z2ZG:J2nkǟO:KMqOJt$AQ|)[!Om/xvgT}mzgg:Ϸf ѽ}@xGRch$l3o)5]M|Toi$MgOǷHaUn`֐H6+|-E3輺ҧUCو8VֻN/ A_{?-?J9;0o 3}Ƴ5_[ q[Ivq|V?U[. fGKT lRmZ]HOX\JU, g ɢz>/9x#x3^_B&\]ݫ Vj |/TPxFҒx(w^A8 >4: G&xB:F"~SkO,󲁭bx"ۅ&EJl]tBeJ~DU3MoAX]{1ƛV~ڌ?'dKۿyک;xB,A1Åg$DŧN3nr*:'w|.L 8.˖"@֌mddU0\ٔmo~ݛ}[6.fvx 8]{otB[ n }m,O'Fk#G 'CQ`>HIi 'D7TԎ޼_P#Sg?[[??"dB'do1'v. Y2ܘ+ʻȯ7lEcz_פz qfJнx/#C/:ŵ,'bjN8!hV'o .p:M~M՗9E I!WޟAŸr0\3f^oQ3pȬ}+~Oj}3vY)c6SxƧ(14>o(WG#zAفI2>' N|uWQ^Z( fgBtYϘ΀RT^@ 2sJ;낗+f?;2Kd8r44cw%'=#^!i-t #e'MZ3y~JG= D:/x搜 ;J 3K͜Ysfpr!镤DTެS|eVuɭVY+V 4 ={xZ=?)A4&1eOG| $HVx Vhː3T7[٣3mphůZԶCbK4jgZξB|5 Afg=kow"y gI8v9; itxd#X"T~^i>x]'"pk}^$ӧ8G`zAֶT%g3ֆrY9C>3h sdƣ]jα3 }`svPeFE Sy< +/&;bF\xixD?eWU#8mrr>LC 5muJ-a2X!yҢ<>t<#:\*]1ijChI d8jG/n0ç.Ah'>xkcOQ,j 5kqw~zXWf{ ~=, V/v_w]WwFQr+ٿP3/nR>-]R/ыC_ _{C[~^ =͂"1:@sܫבo:G+EU`z$"jN+х#CIlDיsیr3$'o 8q&y;}I_px+=RqG=>&``8ГY堈7L?W @8ԏ69V ,L<{ٓjуb=Ϥ64aO^W7?OoͿGȕz>pxW5RtӖ> \wX<|5:st[2Ip~\RbwɛA}^}Q|1e[Xm 3[َDViޝ&([e>|vs7m2fh/SWBz8ױ4}=џnu~Y&bG%C͏\#hhDrM;Hξkϝn@s; m-C NNn^ߣ]=4$ڌ9D 2EL&(c1z0pIE "*PfF|+ᬍWPtaN%8n_Sj-iXp P)uU~S9KgNm F01 bGb:.x |&sSgMey߹OdH*(JeauYQueI(AJ]ٞ<} =c6kƾoFv'v[3E>뢘~JꗿX{ ^4,#S; 8^TtQ`T~h,EtsFIVI=YOE,5e?H*f +>\E>sk KkTtNpq>{Y pU^`"&+[|S"gr]%ݖVz ֕2}`Cg&ڐ ݮ3yZδ]^S)=YqƏ8:b~_Q _{e (P)W= >z=7 H9soPlìG:( )N *e+^Z8 NK=p]hيDYEx%YyjXBI׆` _3?|$ <:jQM\Uu mv[_ /s_)^ B p=%Gr} `yyUɍ} deUNzMʯ@DŽ"|#G5?&!M:'&A6M􀬙hѦI>㗤>|g-'?q?GuUMV?{k3VSa#dɂ[}{_,=J knteg̦ŭ÷v6r[1tw}޶U7Hr}r;߹|W~xߒؼao2E vl|GBf/~c=sGbFƆSJ(P$:9bUj .`U18!̈$bE\ ȭ{=  >%|q~ymrVrvLuO"*O9Lc; 68pW>Pd`sx{u98Ge[ֈ1xҡcf|o9J*Nk=FGtę wqȤ<mA7 [ Mh \Zz!(E ?Ww'd"3 8JQz h>@m=>ei )?Q!TxzZr:.xV L d镃[n@ܠWL1  :W51s~%~tI-"/- І=q"D`kzfvPk߽(*lX[y6ߠ gW(.x(Y;:fL:&=SU3NTv[3%0{3_}"pBlPr=ѹ+m'aF3MlP9Pv2"&feQhmY'8<џ[lˋtV3dT߶kMNlXqٙr7jQ"IWWg=QU&Z(?͆юcc+흘nখ듔Yd=a@^ HGCR2kp;8" x[njuWߣAԐPazG)XtηL=2)M°[YV׷9&kÞWթPmǁ 04{v.W܎zfjvbOCӒ[CteU3r0:& 6-kwlC7/?z$_]l"3ޟ!H]{GHyuKv@krQR>uڄH9SuK7rzy>őZ>ç4 f{ժ_uy]A٤r=.k8%gKюsh'Oj3dCoߪW`yuy>npozFF'7xJߞg2ύ` MX&`T> 2(65A2E]c U)~0֍w1%`0g뫯oo9<+[N$wf$Jh<#:/4tsnB"Q\ҳ-9Lo]gC7%nڃM' M*Yѭ'hhNAT`vpT:yp^E[4dN6r:p:f"gK\ F,X}OF#d9xOg&7 D/^H.9_]vKh'h)-o"}w<'%v:q}퓽fw}Eg,S{m)]5N`ݬ9݌ϒ^9쩽7cw\g0Op2зJ~(%/^W*yDI]F%GAAsOrɱKӞ]?M}gpʿcU ta%G(^ 8V$o^"gī@`?GwŦ9>XZ4Q`!z^WA [Ivg^vppi:Jj57v$0S=Fhz=-Te3G9K?9#rfPKw%,_oǯMNU\&Ⴆ/X-*C-@udE^32lRl3S/MTmhomp#{{Ƞ l[̣d6l E|w E7oMf[j{o&Ppͩww7}p{܁._EJ; tf6) $|Qe K>Il0?/?7}#fl(}'V= <.~dgx.=?,x]F䅬{}]t{YVd}Pwow3}΍olp}qX {||yͳmC)!0jzlTW?w1:%eNq{towGt>O^MsI% `$pς!J `+gpkTB=J08f'>lgS(!ҩy.z½= ȉD:FQ S+xcnv?LM4 ^pfRNyeyM G`VLD1{Wp{b'f&\먂IegH&%3^98,أ Jxcsu%pf_[gv?ur 7 #OD5U㢮|_M8Uq:su p_e<$Ook΃iv݈g "A({I,߮`0|PNR5SM~AKmQ{—Az%AuFq i ׍Y(3p6،:gpd^YRؖ&9V0rtؼ^gm7Y\.kpπ܉on{AɗُY`1hܡ@2u`QN1e ; o %.Ad4@^^6еZ`2r y$wZRfy<'io#>(q Dέ 0XpU;j3~7Ouh2I~~WؐoUt= @(o6@~r<"D0ì>+a y{_,{oEw|:d2Vp$,z)>99s9wx8,| +`XUMe6KWQ89>vdLF/vUAnMW2Ko@ `MwVO--7ss"e,50SVa, Zwu٧7;~ʭtxm gЕm.{ڬ $~飇kplURVwCw`׎6$3A ̫k2ӵ.[ƞ/Hk/\WWL;% L@._~C&آn#]u2%p\ntLeWsa[#p8\ UѴvpQRk 'GN 9F W@`ܪ- pB*dJal`EKMC,+K_ӟ 6_q}GmLUqUAY6,9\vg`CRLzw!^wA>/^=ɶf1yMH@WZI  !XU9~ۀw$ W?&n;GM:|cD*%:`>8C([?rV%~RfcA J]twޓ苲XTқδstOV6/Cڒ~|G7 /8gmZnu ݿv&ޝ\7od#bE42b(BҢUK1ГnS;XbhK>Y)L,e [\ ;&t}=|^, 7 ɧGM57;{ Mh.|хܤVn:L˾{&oӅDF)JV@}M~oߣE~X69MB6B~eg7{ C~~:Z^/__vͿpO/MhI3AelJpnE]6.)5i4;cnYhuztLK@p!QA6SmN0nʖ}ѵAD)[5q"J`A)+kdBgavٖL /%FNNݫ2ƨW)psH <84S' pDTR;Aj Fz˓o_l4/-}cxWFVb3hI+|ݩ|3'i  Y'}ZrCfVs`(Nt.JMکZr g \C_=l*؜! bP^ū.#1E/@3Z5af ,]jq6zROk-U:mEo`FKWp^_}D{oȈćoE *=tv!7r!;,:+ P@Eʒ#{ !8&myL{'K= nf$&3SC[/7Nnvd"4|П,-# +Y}<v8<.E tcbo}wɯ*炠T$6X? 輺CX ʂ),WVp&sW܀t٣|mOwY3,V\P\E\%_|<G3@w5pwMUZv=^N5Z?y]*]]n쭾T=p5<]ҵy_w? dh -];k쫧V1 f߀Y9u7 Ӄ\Gh[ç^ASa+sife][`26$s0EQvŮWHo4X/=t:§7K8~hd⑿s~ƃ xGzl6-@zkkI~ｂ'~zO@Goslcw: JMH~@|+:ɷ}82h gp_ vK÷M|v?lߊΟM[]Id~-X#NGnI|7Zk5nxKy7$h?{|yٷ_U| Z{)L6„pC W9JOg@8_=TAߋRzU&mV8 ;lӽ~wo~ V`W7voROo ^۶og$7{mVeqnŝVnb]WP4wh4[N?@̫9p mk3 H 4 #1`tx!"Y39ﵼc'hQN}?5\]a) slՕ0"̊|v8еk? E*Vh[c wu߀Vae 9\E߽O{h 7E8 ۖn8cog#Ƿu+V _^/$%߉m朗=p^W9&0~ootjeA5DQ'7?VF .Ѡ/-zw 6hͰJe&-"EVj$Oi*(t.v;nU%l$,5 ~ s&Gۖ&tG;Uo:Pö.oA;^ɼwɿV3P`&p6'=TFl  w2!$",哳 t.zh;bHo3 m -bm6ƑS<%V=I:%Fum_}+&2`tn5V`NtD60 V2 O$m\ga9H,5W]1#Z;<HȾپEy^xU]7|Ei-S4h@ނOdOZI]oM B@IDAT̝A 'lپW=ѥ.=OiWn|U@q8€hW,Q"ȃOlz0ShFN^mv{7R>W*UU"Ll_kM:Nq7`a6[\d*A^\ >p>4/2 _guysWʆ?^lT oQ8#=p89@<0Zx3~ ( >KbsF5l=6?ohW@ &;Nex!@UoCﵹ.+* hn4&hA.^6ӼI:NV1dv* |[x?;`<Cg44;0'wyN=d{X|D |<45&ц Ge[̖S+Ǟf`a+aTEVm3%m㇖7M$6x?x=3n3: 4ڔfzmyLw/mݪj~7l2VVG x-!T7dӭ|钍eu}}M>ƽޣ?^Mh⣉wӟ^έ>h_c}d Wy0vhNprnАz:RM$^>tz3jθq Ejl?14F`&  LxBc< t05"jsev* Վ)^q%E wڽ {t3'GaEQx ,ۖwHǩeԹmN` h9nU=XkBu2Vm.]'h,Lq|3|@n  tc`^tFkRa x):8N]N3,OJX=d tډS2}~m-U~$Йv:=J34o I˩q6ذD #^=4 9z5c#ލvpTdQDŽihWd"ܪljwRx~N Zd;Цv=-n @|ل8G`#TeJao4_긝ᢛvT0QA2ofFF%'Ovd]̲6{ӉFWX2WF6E3ǮV̧X8VګL$̡} ^4*g 27F ? `NjV0Ɵ*Fc$2ܩ.`u}}Y<#x~48вHxv'ebyVt8uښ1zxtqx,y^go=P qZIl8ysS+dodREMe!:s i:쨐hl9f:2>|Ag^ih-+>lV ^01V&jUMtv]zQ/z](6vGp> 6rF n=O' f}o ]cF 4HaAʾgs돌f%{Xmu-dqjwhD?6A! RYj_[ٌL$X)|>㠨9> F]c =/}35GSDekalT1+]b>3G䒲s3?𺁋4e`'ç 2g, *krJ&" XǥLfYZdv_Gn8oEl&Z-2Ylv^d^ʛSJԯҔa|핿5BOYGDAցLM`+}Eu56F'ڙ9̵kDbAP}ZOhgA%I˱z``@u>݀<){\P6@F;xGa}7)-.p /:( VcOʩN^0K\qPK 6m a INkly32ؚcZ1Qx?'Y&ڭYYNA_ P>ßuu8}&e4~iƬ2$(eUvaϺ+?J~'(7ַd-kfW' Oj2poIv{o>s}Uyģ6ѓ̡W=EGTi볻0**8+ k ;! [`ڏ~Eι @pgxm̰x}__7D }RB8 Ԡ 1/  Wu~\⿼|\~S?i:VGk.hZ`"< njڑI~Gm AWV@V >)(~;Y)ZyX-hjLs~aAѭ](=x//~Nq?ـ p7LWA 䞾4F/t?nR Z7鲲E>˓ ('||_d=^v73f01зF룏}IhBiR{*WdtkqPmKhh'*FwfN= b&/jփDmUȌ`0mTeEe (Fguݯ-L>.ڽVߜ< kL;y2iVkyfnzSRڌz;NsВWT٪e7ZF0E@ 3q"s\I+S%nuSG+Nl70 F0-* )N C\(A]\4>õĐŕ;fhݙ90s 9)Z>}H!$Q`7}X!  ]zܷIL.&×N>?|{X_f-]}l:4#o9͛m!i} s[X2J3ЀZ}l\Ս'x2HPc |-%Mt/%eRnNn^Ot:Kfe7YME]tqW%l_nI<*<ݧtVq.@N&nzf7nCtk:8ؕjGӍ3yj*{h*Y-@uSny隁W"ft~{{˛L6ީc|  D9[V7nmٱ=Zt6 z,?'Zp?GqԜfp֭,~BZ~qǑ ("V ݂l9"gX@#uc :u%xt+B?iyDh岇%i{rdF!^?ue3kYH~`k#р`4[;cčDsC#W`3!*Ċ7ѯy]gAPaz#wM4`3c8cҥdg*F1cX AkF6V{غup)-t$9q֙5ymtx9|o.oBrwYڀmh4|Fa\k—G5Z={gS]a[ʝ)`y4xW%ex`p322ҝRV)x=. 'Puk60{\BbqPuE_pp6QE]պW3@LٸI?W -B~^z}eWYU9w,NϺɃA1:f[z>^HȐl@??ߵfȵ6lpL@qyLHz=+? qi4LW̥ŋٚOOcj;8=?>SEyɁ[C(dJ%툹A1hg^өy@_"s/WFp׊'qd`x.tTϬ֊|:Cel-tNQp:L4>oF>SLq~Y+,>ĥՏHǗ:ts T .?t>9T'@/7a\N>h#힟fV 2|4k?\g_\o{Wѽ7U}(%teI')wb]߽k&;}ЩpC6YYk q =gsO:g퇏ZVV?1:{ml@0FktuZ ˾[.8W0ɭc{[gNY4'cF,6;0]֫)q}b_ʓAh9yZ|@Rj𼺪N]9aՕ 2G :8_s 7Q^n:Sûj]P AـU5 g=B^6ݞ8Oo|,\䎲 E*yr7Iɸ~02&:YOf'R>4"7V*+3G44ƇFzktml^pث٣t~rez25V >9Fq{h;ݪ7t k]Uwx7{h^'!$y:\};^bqazؖd,|}s nVͬw/ٺ> 'S)nnAKOӣ@`sW`xPP hWU}5L4 90AnI<ˊm7s ۏ ΆTȠE  10ѹVfIglHfb\1 &[u.}nݯCr+-0-H/TU`[Ѡ7S~-#IrG|۩΂c5'= H `% 9(㠋Q;} [A+>ғF8W%ƪrCkG?&5 L_\s+Ln-α X6RpI,.[잶w4Idg۔"Gӹڸ1k51~,P ~E6O9~WA̦dj5K `/-#\]jS%^Qg1]?ѿõo)'9JWf25ƺjW֠ F /ҷt<狜U5麯^f[HnׯЂ. |M]᰽s{N+U?10IIB@ъ t78ȶ9DѶZ3{Fgθ:ۯVOuI0p/׻vk|ӷȸ<מ=1w?Ƒ;$/>1ҙ^AW+ܝ`!tw,}G ;Nf0蟼Ɂ^;|j?D{o0Y5A^b];0oEw?~pV׫3gK&^~g?~RСjmt"9ع&Jl# ܇֧܂`: }b5d޾T.K ydTJt|۠_cWt`g\=~qyF[ k &7eLNodeSU1ڙԕǏ &@a+_x|@'GǗUW^v>o.я/'[ -3PdNƖ5OJ Wo)ے*RŢ٧}c&3Ao4sn#9Dcu)&)ÐR߬}˗g3|5Ol8@ Xp1(b0v杻}pTcr{NZR;LkbnC|{΁$3z2lfMRVDE^"[^^Цn 9սFx=cp:1&·QCxb|7Ŕv!X;!:{H`]5gh {$.+«cDh4>Ghc8cgA4b6-p oώZ4ë"CψTV: *`^ɅV8J>ѓ:oTN-*?!0fAL=F62KIj{S83#@@AlCש@Yq~Q%n_C3T7<./H'؞N!.(4YGϓV`޳j~UT"k{G'wUH 䱗lCbMK}EaXUί̽xypWGvѧ2V}}N}5fۇ>Ӂcy>Uf]?N:Gp<$knʵp)qXٞҵo \=r}wVOIx~S&{Ζ2kpjfBu-!z`Su5 [õEشT=Y>G]h߃WpzGp nWtDVM~ "uW GV#o4pd<WL?/:駟dS\~A{;U34O~<7przl [8Mhvt5U=j*lNnO(p>G^$$rf~hV > ?4hϞ-Fg|^qgI=f? MO@T,RV9xJ9X#8~'[8o(| ʠ]V&̩1#D~ÔF[T=ǃf?{޸_dT?r}dgq̿6(?ce}&=Ox<yZ?o2>^WfSU?qg GW ̱NR2Av6Gފ/o6*r }qgXU 2wٛVCƐ_6Ciorɻ7[M!&+%h{^}瞝o5w[|F# 3E)n&E}U>nosUT tM(y䋯/7qG[" w*}0nc+8DnRTg[ϽV8).Dc!.1e`xJȶ6c<!(햟Z~9ТrfZC)"5rж*LbS,Q%;6&p쎣f;$iCF#"aي,^#w#,$|(e~o= cm&C8&_ܳ2rEV޵3\ _0CTtʶXAtYϟ:J?C%56-YB ZU ׸s*л2gWr̓H0ؠZ+|3Q8x){_KZPDBNfH+}fp BelEE}_cQڄgI~3" ~5Q<uexw7 z" [zhh?:)1ZzDQhADR btHp38R80P::Ao ZvFKDHïȗoA5? Y8?:Tlkr۽?-:/@i?5A`۬х1:8fW'~O[YS'*ڧi~˱1{cݓ%N$`px D .E9S,q}+|O9XkPkŗdSp[2{D )>xkI_ÑzshȆ4lV4Y 9|7_xFȀ 4Q5Zs&f\Z,4co_)i)~7-Hv=Co;/T KtWcȖ{\r4&cTy)ɸ sgVxIm/2H>=><aф!a\ؽ6#p^<_27=vͦ:Kˆq;0XN/?P'08d[.+mKyKb\A9N vvv<)ph}+]ʪS{@| }! 01,Ւ_ uw@%\Kwǯ 2vw{U5RUtFҮgWj'wRZTt9>9x2їwg-k胗aO[KroKt_Vd7_oҿeտ>C!O^ۑw3\Oʓ--Q3U==d6e;+QL2uڝ ࡿPt/m xWpgRmp+h/7wduDķ~Mѥt>gY{y4ߏg7ɶ ٦Ć+mi~}f3}2o%OW9F:.z=1Fl~0,+)Gi$.o#@xYcׂE}m@~8:fmej`+ Df2@~߻wf?˿Wwwsg//{[_~Om} /2~T; k/(]۪yХ-1U'܆oN|p:D;$7'ߛO n;cwv-nl?޹Xdݝ@ۯ[IMgMNܿMOxt,Cdy <8h̦?o"*/~ߖ6I0Z`YE֥%;[a9e:M47yVS~;/.&Zf1/???_Xmû"BpvZ>PGo7w%L~R5`_|ˮSC*.'RȗسFr|E{pk24QXAGu^('>g&ճ3zb-Hrݰ|6q׀3]$('>L's@-.Gd@7zU@xWǤsf~y7Nj@ 1Yxc?RՇNÃ&UczӃ Z[3^ؾ?Cäd+R]Nؗ<,i#NNN3ԏI,OO"gɊ%ۿ<=838Yg?iӷ&{2IN]xo UU:YtJcэ x]*:t~^{Z{I7{}!Ooh;U%{ VY W x؅ߴ gvr~UZhvU Ƒei/ۡV^ӥN?F;}iD߁)QI<瀲OCnv"1ͭ RWv>Hc0DhrL9T[ \l{%c6 AOW'?hO xh-@OgteIc< >Ѩˀg#B_~%%ul׈ >ߒ8aХvoBe9f"(_=ujIWΗ u's>^7Z.кR+:2Б6(|i+{V>nWN_'p$owGntl98U җjKp=Up,o6Qjj)vd2lSIZ Wӆ!7'K,=Z:}K=M=$ Gg<~$[oDmLSV9jVd_,*ONwP\lMT_ ͒ lCK͊NiesOz/uԣ0[T?<=Vff]1Lm7Ɉj%mhR{gq#*c@U~cx(~I77Yԯ8m@Y_m?d,63~+3 gup0㝥?`fU~o,=~N3?\G?9VםjP22΀(:/oWlyhc$``H1Dnngo`-}OF{rvF!3Fk'Nˤ4.GvyPœТ5:wWv{֡]Wq@uq%]_KAP\_hC N3_X5$(tzr3f[EHxջEE3m|~!R&h_ރ  ^!yۆLp2r fe@:"a7Y  0B;?RtӂV"ltK-f PhmAFo[uV Du&e ``{}b7؃K]CC`_ӌ\9ǦdmZr lU=~CnK~r8 G.ỷx>OZpa\7LU>_Wyv7Ԑi-m7ít@nGFMWp.x# ʰ;4'o0ɢASɚ/jZ:U|^]dShbf\^HǮtys`Z@9n)s}(z_yh8@s:ih2 n3bo1tL^_t+uFV((UΗ>{鵠}3}+ QD)F> e6GL0UA;xsq@nstTiՇt-~ǁqtC4fx36P7Oj;X[9Hv}|Q VA7J@;T\}B%g鶤~GkGT[#zxu&ZBAĶ'G60%dک,;1xF-k U;L֦ ̒6cD&!'6[;qu)[nVm M&k]3DU}g+\%ΕLkO_Gi0)֗|~Fp:rdᠣ~P2*)a3sr*OZ 6wǟl1)RHT+FN?M?2V٣_AmVau|CR]{df6cI0%u,E0nE lrڪ@g78cإ'2w"zs |j0[E~p߂E}kdH?0mp|d>v|_}ԳRbf*L]UeQOVNx>> ݪv9[-lB͂Uq8Kbr['YM67h8*v6 ݖңK ;^//;$._ES_֗ci-JC "C3\H#2hclxǺir噠ϝͶ]r[9>nk?|ی4೿1dX $H>K5"2BzVFBNw?TernՉ@!!p_OLeTLFperN4Dv"yM10 UllF"b8w^x^~x)_QIџzrp(;uJden r[l{A&cX1HLVIշ8Gˎfzg:ݾ mgc}9Εፁ{5i^v>ez eG< bG\X!3i5׀L,~08ܡW=L~7*)$J͖/N7\ ^ѼY>myZ[JN;., Ӂ!2kO!\kg o>u+VKp'^ȯoLv|䓏:qKr_P^ȹ3bdM_{@ܗfdY~3Y4HzFÿ?nR[U'' %:kmXkSEܜcqz~:s!Y.~U,\*ԇ bq|fшI+F'Oeuezӫ>Ykm< +`OloyngYZ H|ҧIfhڱ٠݄##>8W0/_qn]-Mb8-38[85g>ih3j ^л\w˰?r2t8/o@a%V= /5qjc=e>I|m}#0и)x=@W_syھx]=f#Akf؋ILy=:csmJh8mkclVܒxöKd3yn;|py/xksz&BW;:yNk:cohBCtN']d:E/Չ76~ѣGsЄ& g?>Y嗿&>oc?O&>mevJ_.`ڀy.TY# .(2od3.$ ;$7& ]uWa795 {;^68)X fjX Aϱ/ H7:7-dW|ea#(=r"  pWΉ~t +%8|0</&#ӒN*-_?~uϽNϬx8oYb f6Ug##ptLu]9 N'VMt_orϧi0Nb\7Xj)ԒGg可5Sq|\ÛɭB~-ϋgֹg7HA.β!trL f_wљpoSWrV໋t/CIFb:Y&Pà1/r=|7-|bxv 4{7`R@|x VP':7&PD -@#< n$rPe`ť[}g|GoNt_ﳹu \>((uuz!"un*?\EqO`!%dA#C0+: V)szX\D& ̵È={ogBNUk?aєL΁OU4]'˧oy{|M3g3S9:~TpsOqT[&%7bV'CUhb6E|I-+ O{~HDZQ v G]ꡣb|r-_:s*?PX_̗3!,]WAqIZod?KLLrEzM+w1yoߪ/ՅVwov].})#/p+\W hzDϾ3$Uz:,Uӆ1&cJ= |2%U{G|(ɕn2zI,~)Vo~`GO_/M2>98x7+"@}ĉpCeW^0'`(p!p Z 6%5ObϘ٠x`88,jbgZqa)*[`1(xOv|}v4v:lQSD (;lFt:=v( 6l`a+S ҢsG<ı(QCsU mD1#Ҙy~lLYص|K@!)K)޹!|8C|q(|:'/=7`N6IfQLJ`#j7+R5,tl0p SXGGY@W2@HcPfzY''~pJqCpkƒK'XG ȾQz a݇5bgڕo}ݻkt<7ҹթ g~v;nF^~%ΪQl/073Vg$>m߂g!sY]_73YW9|2Lb7bጜO] gM1^2|({rvbtFѩ2:O=t_+hC;h]r铽GFγʒN{3Aeq & mlkA6 cmzc^{L}uNxFJ+=5}Y} ,&Lfkyd#f2iÍR.}Uxѧˣ/ubH7NGvenrUyOٕx18o[h,Oέ:ttXx%2H%/$4{#iBv1i1?ݧ/?u/{}UjMrV'ޑǢL'U]_?`9ӄC[ɭ|`Џh;Ֆ[G;_>|/{d8=~`/75x7=:phU_W|&UCz췿' fPS(@#P-1QV S M3Ff ֍O<*8! =TNL @-%\̮O,(A}c ':a18޿}QۍqZv,8R:{~ q>6v:h^7?Tzgn6*O4pN(oFEAk) >]wW:F;s#dYUqU,C u>q\/N#鬘ѩX2N_0(?^HTYVFEq檘*̩#D ^3Tvp7Ru-g֡7u: ،/FxDGr<nBnoe-/W=\&kM&qk(c Ѕ' yQ8˄ޫncgcˬ&3zdŏM}3ӭNA6o0{P3p`st4oF 2A7^L~{ڳd}D 0Ͽ5-3\}Gws< 't@ FE,WdfM~q5^I6ji}uXPc#q]\  :QFe6tO@9ඁ`|>"s^&@2B{I:36ECuPJSPo ,avG}$Y:^ߣ)rf!@5em}0.FhMW?,:p =7Ut^ot6ߣh8'07ʇtBr`2g쮥WiixʬtyݽzO@ӕ^w[Ѿw~g6DPJ !6ƣ:㮇M'Ov3#:QU@ru8+8x§/xПp#DkcGAxyfEvbWݒ,$dKS:ܿ/w`aVT<:L:;'<7AD%!`tPgu:WVW&YŐ#nZQAP#XqӈKd8;P%fi]Х;WΒO# ^lܠ;\2L1[uS,=b7V{lt~|*3/>w/?s;|CiWAugw ߒJ_ͯAj[#ȨT쪲J8HYڞBh(q^:mɣ faw3!GJ?&3mW唂qJ~֫gmL0V DdTdRE=g[:eHݐ"NNguDN`a{V48:F )-0o& Y9 @|7j@7.( ,U%y u\[@-J ʹVC'ϴw:2ֵD1&0c_$QJMsH 0p AuC6Sq4lNB\~Gf"gӨAܾH0Xm`l0IٹF-[)b@mYN5>ݭjg>mՓ?kGOX}\PXCu}m9ιo:ddh U4_u,1TGӻ!} R_ic&;*O#]@g/ |G@ުVYhQ"9U2=OiTl5?,\ȉU|X"."kF}fCyh!KտlRi+xݦbwe脝Ox̀M=y<62|Jw/q/_I14g:yt|@᫼C]^ޤ>>uNt]!6dA/no mm\geك}]9~:h紟MLm1@f /  Ӎ򌆥Q>틥TsX:sSA5m&k~>i!M V<!I 6#vq2:$^H?o?S.O?i"QϚk$?>nz]}xDeGxh^G<0lL#Vg#I:ѭL9ٲH  ⋟觗m kN~ؠv}j=o@- N7Gٕ_MOdÊ?ڱ} I+8~=Vn}[ńZy;_}~ǽ1ioݿkϾzIr~6ꐝ<Be(QKodcQC Pe~իBQ^FkvDDv,hg42:!oՉ\KRZNx"F@NP8tJ.\RKçG SYmo6 D\0=AXtNs6!;7g.dl[OuouPZME!T (N 6/J+& u7rƎ`|u;Vr&,])"7(mNԵ*jO}Dgft.>gʙmxVvUwJu\N M5Af cyB 4u0U%. - =,=&c@o7%hVUzhy{%Xݚl|P4tHLGj- {E;(;A]鰱u }{'ztq\V0ryPҽ MUm}'vQr|vN''{Ptˠ`& rJn4YSkXse!t6cstA>) ט|)2p.׀Ѝ6Ɲ^m{零eh|'_CPxs6br! I~t>\:ۦ מQdEA8jGѽ1pjScAEK-ӁNOܕ YAczÇLZ~7&C?-OhyQ#pe)OèX 8oA5]"|2S]Q%Qes}DKWڀ&b\@ef[[ V[whh٥Wn[,=C>:cn.X,?Bd5GN4 ӭӆVAuX}W1M@HtpI p'p,vJ kcdU 9qtA u5%<{ rSGGH N" &x 3,}8 ti\}# e^}dTzMqt7]6lXI&*o }]ہ|uEz1]ӣɵǏ'+v#Oԥ2 hb޵3I(!u{5P &ƻNxAt'3~Y$CWN*u|Лw|K,> ml;Ѡk爯} c62߄& =M̝7){φ; .29g/g'uQ<3,6ƈW>~CϬpUW2?I^dãa6}5YuZϛ° &y90 zC׭t +R|K04{FÍe}1vx굀|~vϽ?ty7?\fw7q~0Qq:;)6 (Tf1?R6WKMV, g9gMR:w#wҍ/_^{lz:z7y\9fD؀I&2]:l(G.YGu9ƠC-Xo}UF`ئRc{gۜZʂ-[b|6 ^JSZ888u:68|@(USEE1BؓΛ Tev/ۦsz1ķ#yJF*?,XC9/ɞXsѬXmSpd:uޟgh ݬlY{udHEމM.e:@޴Ti|KY Z?΋^>+Kn؀W:yA|~œظ}/\_ŏ1 ~m\hpzYuxm^1YhNVIW̋mV\>(sw!Li7vQ"*ձÛz'b٨#v(+˙_@c4/K||Jr~Szt5,8ҳqMƖ'/>\əY82iO+0pƯtIK#3\gV`o7N=W>+AwutJo5jA5;Om~*μj9h~Y+5уؚm skok^-0˥-(|NcV2rE!(XRO+2 8yc`Ђˌ9Yd+`;i^/MRU' jX^MYg68/Kf3&Uk k[ ^uVK7f} _mce2$ -{Sq$ǩCz \mT&=ep_6sX][p8u/4:hX7H.:NmU6c%3#GNooNc~s|(\6AޒM#C=jXcv&z+]h}[u/0|;T{ ZXmKGW d7X7S`/uKfR~k^4_xmu%𖴺thxcph9:.ήLث%+eH yh UT:e2DB, ]JK$Er$^ݹ .m W_>ޛpycWkJdW3r[L7ɴ?D~;te4C{fAI:iK^qt!YsE>Ãl7Jw=47tP7߅ q gqb.6Me0j7w6Ż3S~V^ns:o绪:nYNI]EbTrڄ+w?m{e0tW~FK/޻J ]Vhީ"woڀ1^ Nv Wt,\bTqV^+󇭬xS?|_/?sOܒ2*@2}kod:VNg_7\,lxdA{HŤz~Ag~2L^T{U zaWɺ~!9SUg&v=gyCe)e'GyPR(u~A! ',<ͷ|?jҰ/.?wN}w҉?gqч_msR08e*Ř]rC0@(N wzB\7[}1N {ŧD]W!,=5grfA2pD3҈g`Y^ϸJI7c*`%sDxt4ve3LCqe ޲gѫ۫&82C@i3)f:ZHۧ49< OqcXkF wcxAhn)/2֑r+G+=+n\Ap V 6C)w9"$]ůI~C+PUf&{_'3j26lĶ.H3U'uhkHol^yԖ#|t-ow|SogŨ,\5&OaŜ @r6 I#{,dR6[VK3>~\oҹOGϻ/nU X[ͳi|@23Y`1]YbSw}{˵|߮ ȳ6i?I!2EW=d`IgvA$y'zm%:\t#ӿ:}ji^3%qǟ!.z8 d0vKnyJ9xl61hz @*{_0[ 68by_haE@b3Ko ,?z=gū+{YdT˷x?8)&.V7[fcU&Q'Zyáo_Q͔:|U %'Y,FU镗 =Gu h* mlٲ-:9jxNmOnDat: )t@U&*!UgR(_W,vyǧ}c uo0#yp%kz#.O Y)_]OcFbe黕mDc~S"|-}Ủ7fO xy7̿= Ќtfm3xa3urG \)-m ?P$STixOi._xtRpaR0"+~ش2ozxS ֑Yկľ'D6k7]\1xTsKԙ Nk`Q'=Y|͙sL~Gi0q3ZQZlQ>! -eU#ܟȿ_}lC݇'6W36 qx`b׵o|K7J+g|떒۳~+>>?_~/k'mPg <VT!?cnU&OZ5Cֶ^*wiۭPY{2O7[&611\ {UI)>'GuVWbdL_Jezk%guty7Gē!wy?ikhgڤ}7i5/~7wt>U9-[}~_H8epo3vF4p -", FT4 ܌4'^vXҍ).#YCV:g[*[9G5N 2)_nv$Z<-O_ɾr9v< B:zY0%WfX悌P DN*pXBc'm~9D#?:~2 Ot&n<%`"`GP>AY;qQH>G125Rfl >Y]U?HQ8\\~1sfGb +%32٤qm>Vhx7vuyGa_Gn%D ;1hv cgANEYS'~:H/fgOqYp u5"mݠԫF/m4t6C7 9@KDy):}ÇPTφFxm^s rF.(8VY'ifpOEA13"t^A y;j '-'! RtYXT`rL"sywya>y*8:Vn9NVJGާ*U{3zA`-{'*AOW ,OF;(4`pοJ6|e*=ͪŻuLu|䓝9!xq,1>$eoeY4,GZp A (A{O\K3xd_;9ױ^ЁtC"yYGȁoP^V6aM+¥ҫΕvBx&iɳ)Xܶ*ZZnn 6\>*ٷA i#g?n :ܭ.8 s:1Ct3+fs3X0hMooGC'oۤ18뤲r Sw UBG|]7O|ի '6C3{ W&ɳ._8>+şo_]p-Mx뀆pOŢ~iS,7v JɩyL=9mݿB HʔU,@xcF yWl@ ( o7xFVgHT7# "A8[('L+dSʜ{YM,cn{]fW6<'Ӳ:{6>X0|KF#]A 95"k7 & `d3AO?B?Zjőh3#5Yk g;= 0T,QV]%͕bHi_ g8: 2#NA)MdѨ< &d5j~B_]{u!hM*BN2[h{#[NҰf(@2&Ys {nfɽo5xb6Zi Kel+c#kõ;5z:Oz:d+H X=rЃ/O{][cpġ`;^& Z4lu;]}JfF$I@QZWYxNZzu : ?c ckklmO9'&|^~Kgy&@[oذ+iBP0JW6;*U]ݸ)voF`Vy 5(>CYVul}J_=h_k'ٺ6$=Vq[}v,Б'~r|<o9&>}Hp|gƘI@dK^;w_{ SmHBrh eU4t~jn+n$[LڣW 26d=د2 ɳ{~Tat rtV'{ aΰUuG="KM8G|}z\2w[=~FM g?ѣn7iTNVg7|&9,x?P> `Cl6?: {9GO.rY`(y_Ru? )]@SogO%\~-?dwM8lie wd>'=2p2ZGx^x ES9I|'qw2GrXG 4mD'!{"` o+@Z[ܩm6kE(l@yGI?_Ћ|falW)`P{.PmF?@(/]C?r,S/vCEn' k`dqX0sb`;W:k7yXbS|&Ӄlffk+ceH)#~ViKjnĞӛ**G9 8̸E!~Eg ?> P 4{|s<;ק߂ExWuYCrI񶉩U@w}_&&{dtxY)_]ǿ~&#&nf_.ԙ|?_g|gɷNJ7mhN`a2=>hFbѲG:'w.NbJ"ϬH?=4ʿn!v߆iuS[GfLݧgtnnҡ~O }L*&%;) x_}M.ۯk*/Ôa_>ÿ^og4Оn)퓚)Zvu9A6h`wdi;2sZS.hVڷBjo5e*f<}M\EJ0r SHugaog:p6R?h9|.QV/PU7q`9WFVux9EpqnϞlc@0Y1x nGwoɼ3ecWxM̙w!gc.0 jgͮKS%ق˯ l.D5s! DS#AؙQMOb Nב%.7pOVkήOc<_Bcx3"q;?^R&Xzˀ #σ Ϡ"{|}K/#4x B_@Ku cj&Wf`:+/٥'Df`(Ѡ5>5>>ZOoyxCoeڐr)w2w=ߍ 8` 7@dxP- +lI"۬tz d<:Du,s."^l.SA >}zp!A3>bBв2't@B|h ,=+ֶ\+I6~D4n?9uџN+KvK>6M`bx *!(Sی<ɩ2frVvU B]7$&L4ǃmR x_u]H[:tkx8HvӇ~8D:.T[PQ.],_Vܜ= qLӳ|K7n6^:J6PН颛hA te8`r_ww oonvni ] ^0 V7ы{GTSl1?\G\6:7<HVӏ 7:緲v0n|6X#ĭx~o/ZB/f]G:X;m 9yOO|_WHQ޵TUzg%w:pI!mzM/Y~ח[q?ɷ˷MbUO{37g[ m}W@[ E,gp$d +P9. , !JXe{~V :O5E5W!9FMñFڄ76k! kj 5@)v.Qڷ6eJB#7RX<$<|Ν,#,I(G<LwN:֩`b&0$N0òќ3 :-@) JRcS@z42'<09-kѫt7wJNr#v\7-?t BD8_uUpX֨“ᬎ'3?z3ng9 Y']*׸F#c:ljٝ*mDb ҫ6kTvIY啞U+]^:/3az&6߀CxL0 QZͪ9X$$;^`Cyҧ8@ |A)ϣ6:A'WG?4>H 4 wK/p(i|Gt| Yo|/y -IMmDٮ`r5!TUt0z nӝ=sԆy^ݖVevGkpòHxKQe*YEG'@v]Ui۹4=ބ1X]rX:Y|, (ǣ#_%7媲WUm@.8>Aek{ʖ^Mne#J=[8];NtM z^|;'nY>?gg_!O}BJxćR<ﯛWg2?p+g G-p(mVhµu9MayT1*B[u]O}KVo`tWs<\{*/ސV}+L1Π&l.ū=^>Oi+Ujkz[|wTǭ_aLj:Fah :F)Xi ە~;?Ք kKCPO0;70obLf&Y~3NV,6Pн8ԗ2t+ӍdYGa$ ,;+t`qwxGO?i+=>N0t2Po,YZIp'PxzC/|O0:"Q,&[xXs,=goA\s]W6 6r/=k FP0@Q$uG}Nd@oC ϡx#=rI  6MҔ1lpgr3Ju*-|k+BI Fwջ _~vP~:m:ZU"7 $Nld&/o8)J'QЮ;CuMz=N;rp81ٕ[˯srll3!_T+%*zw7py3yOVO̩\h[Y`7:@MYX`L55s ?nvcRIg3~-t@)3:_G%6忮>RtF N[S}V:P_ mtËuغ?К#j*8I6рƧ993=Gݲxh+w0Whě+p+<2>ɉ-14vA-աO1qCQ[ʾ-[)[F*tSl,8lezN08ly&#xr5nv\W&Kε{yµ<~Uxq} \ǡ/ut:~)UCbҀy+I#1[S BtO;NSw0<8z_i1s ?-Ӂbh|rmJf>%-Fo]:r+u]9wpz'>SG7U ]{3 j||w;' Z^S+G}t_~fn=0>~Ld1>Ds߻zG ww~߿\yz˿\niG?w>ѱdɡn:C^Ñ/"6MGŷGrD1p1.@eLe lK)㕯 >x eG[m'AV>3)%%'0,E''Dl` X,P`d3Ι:'|+e: ).8G_n֭C8;NA#xwy\u[ZxsՑ"k坰Znq ]h}9.QkNtX2Cr L2ѱ8XUj9ղd`,-h8 gќv &lJKhJNF1k-Gg}\2#C48.#Vj@$3:~~X{dʓ¾&9@3Z=Um'Fqz:Ab1 :>u:ۓMˎdsѮ9vvέ,;]q"3w,geYieH]l2K%Og1[>K1N}k:ŬQcKYH#ݻ!96\g.tr_t7`iWM?/d1e۩bڤӃ3۬ t}pIzLx!rJԭsA꩖ڬL6&ԯN25Ҕ ?TH_J6\ɸ{a)p^6~Ao'km/@a:d][{:EQөӆC|o0!n˝{ Uf3{_..J{ >O/Oە^xk'ư>\]UdڹbƲųV]goWɺ:9y}6! !>}n$i6Xcdj,YP^?=p87`!_)]y#w޻ZQa|J''cO{Z9@!Rjj|P';_}y˃&~dbWiEQyd`&67EOz"=YvgQU7(qFf0kt͎z׏p1!;|Jȟc 6sdIO'~K@jOx;'p.Ӱӌ]@4dYU㱎op4488IY_j8yػYSa} ,M`ɲF^hտ,\ғeW? ZKc;;*؆?mk։FOO@_8:Ng>loADx].B3;T+Qu,U^ `J^t? /[ 1G!k0d8ї+ ^2;1Ϧ q6@n<hLْ۳4Ь˲7 T< l5CQIY< iWذξ N X{Ve~[Pb _CY[zIZf&Iy('.wV?2Lctc&qWKlm6Q70쵢f /p;^E`1]ɻO_+ɏquR r<^?_KNGA')ˇ'TѕXN?ZB d#u PW!G6N|P}),2٬c r"2^top_(U7r` ߡ\{Mv+MV L_ k/i܁Gm;jι2 %.]ɹA ڗct*3Y}ag0 x;ضc3Kpլ=#ki.5|(?n0׭q:fʃ5^8;^~o6n8 &fϩjɤx/O8EZ?Jh#|x+s7UUh<9̸K)˾xoohQp[zk̲X}G⤁H_qT$6s=g\[,iW{CI-bȻ^?hx'M[Ǖn$Kpmp, ;e ]rNlVsއWO>sqO{=Yo3DG _/V'f/T2[|: pmf}ɓc,VTo=GwcEѱp0dE{ZN~u҅~}}/_VX،[mq@!vNK_IO~o=o~~y^ͯ~qo-y>}`6/GLЁ9u9u2s6u,eaDʍ j0DU~w 0%-gO9W~)Xf⌆9Ԩߌ)Yb@F C7'v .4o5*%/' 89BNMz֠LF̻|u_N @W8G#g@^kU |"g< -*iF;;sOϞ==oO-׹;b;.xNfV~7`[] *挺=ɫ3=ҙ{f= 7:w9.Tttۜ f!dkk43 ?r I:SD{[ Sޱ2ykt]uÆXϽq:íΣ;4gmE>Ƶ;W~e':d>{6KfΛ vGV%lIh)WYa:Vtևur w|BH#ۮO'%C?nԍ: Ps7%W/OFwx:h%ǼJ7,[* 6[P} XYVN̯PmO] QcJܧ{' i: uvVO?<.ïst݈\q&XpiqUԀpcR3"وНJ#x&?_ bv*(>: Lcu R }GU7=ߧg]8xk0w݉]1_9`LGxuAh 7cua@:UJ9i즒nll_gN3@뼖tx'9Yե odʺV%r<9}>gݗٗ/\$[QG5r/g{ѱ3:uZt񴷘Ϛ+g z\#xɪ `=fr{!S._n^^s\ơ*LJy) @ Ӧa}*rv-uXsǖd}R/X$E`fz5 @j1wp8}9ê>M߶Eq>xe}wk.kj =Qr  mI3s$~}uDH l}Z dkUFa>Zz صGm#Tx+mX/ CZffpȄ\G^(꺾F~G⅖И^[6zkGbl0e t0gD@x]'k zHW'%a 7 eA1sAbA47MZRu 11Co Bjc]\7>}V:/exS{=ndԿЭ}F􆺈[k*}cѕ<3ޘ;Zt/%L:pfO]l?,ZQ0uހ?*f|G #M}&e%70䛾?XkmBRg7۟Zі:mu4^]d5\k#k NV!^^_15[!n(]+Ry\M5CQaK]b q VHՇPB2C$BbkњфÖEWpڽP %Cr@fpv; fi3K{_7+݋SNۜ[t1q]֭&Ρ)9}*! KtNԠ]ٚ >P f P 5yg~d&2eiP% 3JCPMPT۽EQF!geg rk8R%x9w[ d c+?<җ짯ό8r;Rͽڊ q9^죥Wק7'3̧T@42/Zݾ}<f%hS^%Zy>f@U7?܂ 26guL6r!Ï 0bh ̪>[2'K`,Ȝ> \Cы-n37`s^lQy~` < t8HȌsq,^M܄~4vNߊ$ ^N!Jl<%xz!N,/{|t_kT4|JXV䋄ໝ 9~V4 V曶?-팁hșM;gOE r-QϨZR艌`:YN+WS03Zdޭgtvs]κ(@p6d9​FYrD `g/ꔌ?8}c8k`{0N^% /+txol*ya[m_޳ջѾ!~uN0au^/[aV:!N5}Z'#M<]:T?]XRu%16=z*X6w:8Ȏ^yD3]AB. @/uBj7`Ǟꀁn:o+݌iO?ɾuݝ .eKL=}N,q69^|` 7}at _5]r-GH3=x6']{G1W}&,pZ}pBÓ>_&M'*DԽ\v?^:cJ,~^ Ё> Z.,: e/}kwCt5dw6w@_ŏ,F%Ew+W⧦N>wav͘ax=HmYE%Àx#Ii>$;H݋`M>쿕.pg{]`4Feф!U>goE r * >\U1r&6@g:T3߆_;6]'|jUz^xIk9$&Ű>읊ֺxbCJ1Af9GmbcCtJn@;elڌ_2٣ybJ5D 3Xޅ,\_"';eiy:;iKk ةĖa?Ƕ_e`}g+9nw:|1' *՞~h]&Bcs8,k ?ȺA|3Bj#frNěϩG3('Q xˌҒ-T~_9*RAtcY9`HбMW%\§\͓SJ(s[ j 9s:Հ1{CJi~Ϗ+-#mD9~0 3KEeڽiY>Ge [sx0aQe1~N^_{amπk:!T. N7~ng٘ӟ@,! qz+tkԬyj:VIg܍Eîm N5L"O&,w)dW?^`Ⓖ|-?| LzT/;B}G>/)1``Y@"6$Q=|D`]_N kfA9ZٰE\@IDATG,^̬oޗ𫼗zl,\) 5w!@_POP 3|G85G184:5|sM[Isƪ2t zjKе8^VȽXEW H_Jf~z6_K\#<>-Cק ;>I+낕b!\P yzuէuӋ*/0^N_x-P]lAxNRcpupvip^w:5*)<ҕdЋmݫ|}ɇMp`$wxI Hfk^VriIw爲q侤`{syɌegVyܯ ޷ 6>K@[]~p/^ ¬6᳃.h|`w[κ9Ymp*&t9J\++ ?>7Txs]eǝ& W^CnΉ!/;(*(~284 ^\M/]7սU{/:%Z$<PNjZ}׋0 9L^e QMϣ Z[оOxnۡ/?]zV[pC$1tfGi/7jCev^:/<zso?|˶!xػj611Xޟh'&08AnOp)NR `cefh:Bǹit<> } ~ҌmU RON-C@Hp/Xf<ǝSu56w h}y@q:Чh0i3 Veel;>90eD?U:g%뜒-iYVPEF_|JCIa SÃ"K&P#6QQ})|J< qY;g1G׾`]h x@C,' PBKKrdxJB:҂8O)HXERm/Z^@b==>n.<&$8y`?֖m;Ct~hwX8i4' 4#ldGBn":m]]2FT𧻓t|q0L</?A}" :SÏ,4bkdζ*mv}^CD>!4өF%Υ2ҋG?h+,EyF #+vfL˳ ) Xzf%)Z?6 #94xtNn}_ ^x^BDi x|Y);? "O5Z%mKųca^Dc:=y#r'/>?Mm'ܝWtxʆΌOr5j_Ev%-6h]6#*GI6H %jzOE;aw[| 7.^ftn@N𔝚雯K- >mXZQFK9[b;ڢP믂ϫ޻V:;O/H_?dl 7-xb$ Ua+\rem@:"VI[F5`*t7t3!+u! ҵ ͒|Y{ >#]xI.}G@&%7;/_} wHKA$*jieG1O h )hóF.Ѯ-͔F#W ?B T`񺱭h/WꆟX ^xwnUyWfm;QnS 8*M>X,j̞B13݊2u-Nb%T}=UEo}^QLA7[w+Nw|=VdHj7(濐|O_pM}58ʜ {1sz 4I'x?3k<޸*|^2_Gg7lN9Mtuŀ㡸3>н-%/ӘMKvz_!PۊekI de춘Ǔ/X%$kK,1G. 3Al}co?Q>a>"G7vm<}==7Y2O觟~3^c=_Za;=SJ4؅aOuY=.9pN0:T ', <Ǹ$7cU)5`s rd[ k7;;'8 ŸlWm*5Z[B!aj>R)NI9G1 X=l%^2vNBzBaxJE}$ SSq@X]H&9ݍW ?3޻r7ծvACkwiӧ"ANj^%1QH{֑Y}0^ם.,e!_N= mI}eg;gрlI?t8t>5+GD%Q75t~NK ?q] |ZVV!dw *ؓWH'%:Tb3.e7RVe^U ~`7lqn,c: Q {&ӭno|+$lgy.S;Kpdd^y>AtD:k W2Oe{h8i ~/aQoK$:E烹r\WhMIh|Q6}t>Awt{wG#XqfJ`r: 2^']aI{Fu[| %&|YM32KvO%{ Y;,t[mBYS}muy:qf´tKKB g^񹲟Iu١^,B^gO6{ ?Й ?v ?(2_Q6]K @9}+gtr8eE3ڝ{;ܦM{c>A%dt=xa ?hux]WY"*FtU=ttޭp.=y`h7@EIэu$#G_'>6Kixa"fyc+;UiH *KWl1prstt8z3Ѧ`o|\h嶚 &7(޵/ޓk#A?HF6"jI_wz}J\ުx¨\=ȡO@Wyϣx/>܄˶t|џtO7__:ÊKAj5[{aR|F@v%QΔmlln9B<徟0s 8&|CR)}{N OكEaq ؎O&,Ll?R;<ktlO գa#6jplk#Z9ǀe6hjAWA8 űVE|X)xOEGs&-8|JU) x'>Dex. LͲ@QY-_CN{A°4<ƍXFAs>/ݩ~Y0]:r2-igp1>§Kl`D vsVLTwE[d0CϿy6[{jg wat~i/G ]tm "EG=t1aΘoiq8 T`2. =pC#hxb)u5,'(]`hp4t{ ~ß](Pƻv>2 AWcNޚp@.w%A%mVX ۦ%Mt9Zf7p계ȯ|O9|OrIJ7O Geqc@։Q7;_O`/u_E"ýߞ6b&3ɴtm6ߤ?1}x|AB| T]eIouê}[5/"N}[dɥV6ɩyJQ3=B-0f+3`;I,T5xP G1~}:vn$s L'>^ⓢJIjXΙPvGYlеo2l]J2L/;p,隘>]/1>Q MSck} K`!? S7`/cu _ŵYebx3tա3wnY6sI>5-j>,!>``R%9I_wy;5eN&ǙbGH=2/эw%aϐpr]Nu`~Ӏܘ".E#Ѷז''+l]C@ ]1k1aMv]s_r~Y,^ҧsb TsI/&$+BoWoi|N/!}[_"Ը^l{=Y@<nw)mmY^`=0跲+#ו9}إ#甅p4#Ɋ&bކh9zs~}z 1u5$荻TsJ|[ &x?1W.}j?7|ɊoژW4ɑOzCVzdpvZzGu>˕;72EA_ 1va`ɌTz'9p.`Oʪ9[tu(; {)oU[2FgT5,lȽtAO۷֌h#`L5#fl$R+]}G'_2p/ՙ^,dz+Ι.AT%}~#]pu0۟OfS>x#HNGS›xR>=1Y4^׉lPFژVDI) iDĈÞ.O7iw?:R%ݢLS`fpl M2@)"2u:'HT /w@x j;-tc 76:]MA[]W!֣lkH]DKH`sKH?mUV,}?=D8GXfu<- WPUE?~*Z.+QUJ CCtx2,|U/|Ik>Cf |>0~8:u Le1zжTӹ&Wba~{ |ѶB,vuFw2q])uz[0BAXu}+yCfw0StC _QmIEkxZ x#Veqٵ\&`AtDOer{Y ^=7[. W/ܛ׾ƪ%SjScXd9Xn+aЋ^,1:_NN y@|vޓӽʲ%`'ދvìO~b th-q3C.ml..|?so[ o*=ϳ_«?lpʧQܿy tkp)+:mٓ7{ƇckP~ƒhbﶘoP]aɇ!X}P,!ޟze?P{hJkoEqp9^f3o];/= o>0]{lT]Z'O_dL✄04'03](6 $ kFH`ߒi9鹟@!.s(60ȹKmE؞ly(d0 IKJmCdiNXž֮ (W40aNNA=}R3c,D%|_`l ZRe u[UF aq'Det?c/ =Ͼ{m\E8{-Xxq¨@(ӜEt@cf$xj7+Q'`з2X`/K~;A7d(3%z2#kgs辮nzhux-?21v,={{up nAr ej~Z}9rV5nYj\';`W흿'UCL3ét?=k&¸7_%1 = >2H9v|x}[\CgD?5O{^ [Ʋ7XQے~-R}2Z8ps9ANn>@Stt;9>N{9?]ޫW}θl|Pd`Θe^,v%YN5U:OنU'a˱i?xT;IG\Ђ֭DHiI)N m\Ŀ}mHOswIM4/;K"Ǝ,SgK Qd~IO1YV!ݑlT/t0yega@ ; a5K{6]—zbM_nI_;q?GW!XBI͔~70>`4ڮDrf*ďcX~L, @Y@*Or~[W3~ēI-Ш@ U\nU}t<xnz T FsJ2;L=+f=tCFVZ_ Nmݪ?\A܏ߏ-I,f'էKU3C6ž}ã#s/laȁn][̸t l1Bm{]_?yӭkqvhʯ`0K p~V@f+2vSHwк;x~+ll3a3!M%htX!=lJpi3&mclmE HߑK8IJvU`p=wS>WR/8҉!˃O'g>gv{DXY.x;^ȳGFX- ~}n3 fWX^^l?xKvp'+NJVJ0=3W|-IJ];x$d6xտ>֍ތbk'q_uO8!^/m4~kOGa_594l$tɄ΀2YVb8$Zqw2d%ᴶC|b[%Q ]Gm[Wn_AoMN!}#|7Iv?K϶%@ `o{(㬵gtݪi/1~hh!֣N]9'6% 'ts^}U_ҏ_m1ݶrA£o曟zs[t`7/~Cy+{tOJgŠIÁfn;0aEf[3⻜i}ȫ`i,zly}J8K#[A>`tYP&fd ZxersaFfc1R:2.:L-hwi{ [?)jƩN^K}-,4|*gӢiO۷}KaƳD.cQK]Gw-i$*Fd (} r%K)>$EO$=+ jm\[l9\.'H-Q ;'GgqF|=Y/dǁ3渢I(ٶb25K8oZzG<{4^ k/`]ŖMqFYF}`qmv 6k[p!3`QFyT7茍k ql`v&dic_x}:;V wZbJgVӉ>n\Q8o{ h=y=tނL2N  ػpC`j:v'S-K t2x>!zRWשi.B45L=UνȢה _ewn@}Hvq-ޣ%x>\[VSV!k}<KOY >{>NK(W|ٶ`ITU"mg8_Ӂf<TCcO^Y|<)^5*[_-k . Ck=GΗ;HXcJ^pb}XğεelL ^ UCnx XQ0j m@%*YG}ͥHW7O7AT:|Nލ*$n|EB__z[>TC^zgѽyѓ||v[*')T1\FG -& ?=mUJ:=4MwA:>% (:H& ι&E6j7on g+LaIP ^Gvu)L>o=k>Ed[Ub>P5vDα 56?+x쇮iGJ_˒;\Q[-NQl-n{Dh #g\B9z2x&껋LR vF~]gЌշ%gv{H|B;qRr~][ܦ[S0XN?D*bJ_zG<οZzVѽWE.8@vydtu62&^[?ﾹ4}qco=kL,+ _ǜ>hlؐ% a$P1v1\d%6*C#{^ >yI-=l@eA`1"VH)%$ PVT+l )!ZFœ/Ϣ*Z< gTpm^C|8 X0x+4Lnߧf  NC9uez^gw[r7yN}"1&eàd%g2Np @ 6>,Z˃]x1McBoĖГTqm}ɓ0x%}mxDx@aPPEӷ}3Zle $TzEeܼjק`O{KwFR;9;> 8?yt!<''ڳ:9=*M߉N9~ɢaսzMtCZ2xfӑqK AOFE\v!+~sMi?o +r{ ,d,go$z#% }۞x`!oC$UzWl^"v9Dg$\*:\ ?^BC7%G>ԎC(*H`({g}ɿJdTd^V'y_%;/8ЩA0PtC_&GR~)`68UocAhČ_+#Ket+YlS#p:H|Ɋ+r(V)k?h-ǓluW eJ&k~}\ fPrʏgn`>KPզ>]Wgy[RKŏ ſz'1!> UsgPV3(~|0w7cwPU>IZԏJ'UȄ/X׃cPvPB$dIײ)> <ܒQ`K,)."DGbmOsr LzίlTL880+\ق~6gt[-YǦ~ge/A2\Y/1]5u TsH*6av .hӯՂR<&y^B8,T}l0,>Up]E jЅ_gFNN칕Z1kG,_etKG(W4(.mKc~c>'2% 5h|UY0vV8D@'}>&97|H!dTdQmeuhN$T"9r2D 3\X01ӕe$~m02cP;G[S2xE.ʺ >f|}=Gzs\M03mk&}~HZ=m n}{ & 3o:Rɓ6XCtD xВFp7پ@&=m0@QrNrNG'{+;O8-?tލZC|Igj'V3:ݞ G+foOz%{x/w,I9^J/LDQgSǏe%6нL,c~ҁp gV"+"YN8+}rH>H c?l f(l7Ņ`~ն&Y{Ȉ?tmp_|[r/;Oa7|}VG<:RQ@`Bg"+g[ JnnN ɖO%L毣ױ/^-ge nMG~ ǜ2Ae8=!JnW8!oI*'%s$be:ttz2 Fl쯯~y^|:z RU>*|V >lj5 )}E. Bث6grV[L!$UvZ 9ry,jCG4wKP׭t2NN_x~"JkC@Z_ӹL lѡqԓtI1&rjۡGTE$UǗቾ.UBĠ^=IPkIWgTj4MlnYߺ~Mz~:GIEj濒|&HlmxXaNMZi}.*t^Wڈh_/I PX+i)p z%9~}u2=Q?_oߛxQ ʀs7 Ꝙ^?0E8Tf[Ё C3 >q,#9ןcT?6<\}f?m/GzyKXbՁ@XyV`U>Ѣ2}cLTz4@"w֑ǿ ؒS8S^$ ԽBm׷5mYxa\P*hcK&+5 %G@K̀5,w͛7i_6\..Xj}/ƿzgM?\[7RηH(h__e?/π&Qu8~*DL|z3[؂4ffS *ONdld1>]Qd%d7rxN06ٽS04T>|RE}xwn06k-\-^{fԂvt|bo<$*Ɣѫ>`dkºeR]̘zi`BY|a?gu| qdח 7뀨$>׏GdBetl][›N?}zvɷFs ֿ `Mb'l}YwZN2(Ӿ% 7սɻM_Ae])1L?Soۏ}1}eP=%9Mg#Llz]󾕒ƐM~#ȁn]"/9{q(kg=j>ßZd:k?Ib*oӱ>o@]M8O2~ULu?g8?onЙ\O;C[Bi2w-Ӂ#Z\p%R9 (w̖ w1{xcK$f1Po|@ YDӳ ʮyh-(, ᅅ*N3Pҁ˲\Vu &OC*X]cDy^Pٌn9\Fa@s7Ш"wbY+ߟgb];S2|$Yu s:dy 6K }˾[l&-̈[Odou,eLG=8mp'$0Fg."bU M.?|$g KyͰ~ʠLÉPU t~'008$Ýrw:>}4`ܠqv3U{B8NS̥Dϒr7 5+,88Eǖ*۬$o[o\pֆ@K2 xt,-F^Q\?ϖo˗ӹ4d?;H*>׻-B]{ 8A| ^OJMn%Hեt]/@ -"38\w3le!JLc҇IbIåNI0UsK vm' `%A59}`rLɅړ86Idl^k"=f‰`mDkyxZh2/AbzKえofUΈ-HН 6K]#QE}fwOZOymU$QAag|ˆ5%B2(x #Uw xnTZxA )>'8"͏ ӥ q|;0]O/2 N׏u>vQps̺?}^^xn<bZ*^/׼ d4M"H-' ݏd{A#+G Y Wlej'{$VRV5gE_#01Ty-z6W2Qnb&g̟W)J:Hfπ\u|EW>/[?Q%!7(2yЇ`{W CJuV賬fqP|EG-mJ0նÅ)}xICW,EohCgbeχ{EF'٠V_{Pt7] B_7 '=tuٶ[ր p~+G^7a1t7<=:2@J~"y=GiXѨI>J nTnϥSAH +8ISed\4_}:o:

dw: V@sL^p\jK*$bFf|+ e7E&A!D*;/vXg{Յ ӛ]O{_׵\.xY_*K?+N#G[߶?_nϒ9޼=vMPѕ󰂣S 3Z f4z|_ΎQ5)bʨc-o"pkH0OKDY6Cf٠[S,`i &:s(9m0< 8 ֖DX Eqdz߇q֖~O7O$`}o>6Ȼm-L>a zx*P:M+Y+2056۟(SW uI4nwFYF,O6@u`eՁ3ʳl;Z'wΪILփ}@vRFn[7:TfFa霷 ,it~Y潖b?HhCwV@2}wt9V] QG[f5˞C^[M뿻] t:Cҫ^0\}[Y}\ΌO~rz<S4[@c "| 8Zl^컋c;?\ N /+@U?>,pqmptq33rB,z ~Sɏ>}WM]O +H$c6k?BumGCu8ߖN.-+_:x޻>XZ'O`^T_OlAH/EͦkOztOy[d]]8-t( ?+#h1>btc/tt[MʜxY\]q1m<|ԟBD^5 W<_ ~֌b4BC3w3 >ZI( g˄7YV%;̓wY8V(x  d?ClTAc[W@gfbyGFI]|vD,):xlt=')C8(E%-`̛\: l 0^-]ݔsD>9T GGZjֽjxz_c66 (w~~}η{3@CvNE׮G8y|d[Ȁ|S_M.՟KO:^댓8nQ{){r*޼oO?~pt~^9$d)m#i);xh{t»L߼(0 v"KB{<4[)VCMd͙8s)GޏڲqerV.}"*eh[" <5a+D onve%lX'4]J?&>jLB8/6KBA?";jfdYN_ oj0`cǂ(RfdlQ>Ʒ.Si͎mi5]wC ȟ;Ѹ{˾_?8?GuF|3=qYaoJ 0v]'򣯏تYr,4*O>K@/Od;엙].~EBoI.Ɵ3^`Hΐmr?{u Amj:l akG *oNX5LγI>!dsE0YYkpE߁7 mͨlGX%7~fmH-ogE/]*X8= Q4ӵpڀ&e ;ɕSb-t{LXl|IĔ |Lbt^P5lo:zghč%0~Un6^__'W?Շ'X#W##s>hln53`N+S]Ƈ<7>9G5R=3ЧSxMvߎ^A kKYX/i0|Cr#7@I /NY~R!8[U8(G< L8oF ~O_Џ'_iltg8mOwʓOR_^ ktb1ԸA=-|c_]Q=3@[q '5D;)tZf"\i_ rlln*q|OeӪ[(ODHvc}t\z5_e/m ȮŤU!U>^+-_,v1C^}rSm]|}5z<#{x3>C/+CsjDt{xm4`oUTbK"XƬ%UlIߐ'Cy㇚g*g$9 7k/S6w~Ϳo~?|㑇ь&giK[@2M<ǣ)Ɛ0 1O-]&ƭxAѩ1E7 4",Yb+uPte>29h"]f8HgymY{C3d NF1FM?oViKK|'U&K8 cǖTyBDѪw:Ryb"?x<;YpWEhz2sv%fGu5N Kp& 'mԿiP{ ^ nR~A:|X8J!?0 O{9>/Í@mDٝ1~KdDcc{DqV2{dbYyڒo $OE6#mG +OmFfXSû7=sfft?ֹ :p|yS{q|z(IAqj݋?;Uhf咣խ3afS^M&μ\5ԳݜIE׆ers>6.{ondȹ9:DǫǿT vjlP5ɠ逰O]%Ek;WjIy $+>m۠؅=m MgCq6wiՌm=Il@V(E^c ޶^(v zXmԛ:L6%!dɽY-i$綏 ^mgZ=^4Q>ݩ%DmAH4iN>W [K~dͲoKe@5C:PGIba~Eߏl͇|]9&P N8L) &'fK< NLY$ɵy 34J(f~tqЙ@tudk=<$t0o6EDTfhd>2?ӥ&9J;+!h7pձ>Ftଉ-U.7$!]cZ`5[[4g+@W5|.f/>oF ._9f#X[`!p<ӥ}]їt̒ԭ:] mlv}͎=NȾV_ăM|T%U|mLɃ(.O?]_ puU蛌t1:V`K郯\^2G{'|7ъ-9~ [9gxXȱ\6],HOSW,WΛOīͶ>!}$ oT?bf`< pcEk{T:tUNzn3ӿ4T`DN)7z c|8ľ9Q>C`g{KtTz V7ldgu`[Cw8-lٞ{'^f#hHN9hòϪGk'9S]c~Fu I['L/qI 86A%|Q>oT?e6Ym<} a&Ykz س]]i^^U? d3jOl^9=z@Y[P`N hC9352 T賁MD4:-c]c@9aW77:" $vt\[GC}Y~Lû[MV$|2%$1>&* ?gBMҨ9.n#|_\:WN/Ћ]p >#%g<׎~%FX/@g/v9]?HxFxv'qqh6YWl:x Y`ٮQWԧJVS(9|b!O;7Ț Mt]=eo u0Ԅ68Dno $U~ ~ ~h~-x HI껻G0{}<׿y9njzW#GPq~5A,mtث-w{I~edYmХ{G;GmAhBuw&o(?Ϗ\Ϡ\(^Ѹ!/k7uLc}-*|hN7ayL(c?ldytsZ~<~|G vevxSpxto`;A/߼syZRm}!(lyliҏz'Ņ= 7XЏO*{zK7(Tum/^x `x!M<ƚL||2R`߶GZ͐ۗ ,q-g* Ȏ7bΕͶSғWxY Jpjܮ 7`#A}Ȃz_%ob1ZXT6ՕWt//w|pq){ ?<43]J#Dߕ#eq(L#\qʁl0 P 5aQG%>$VT&&ܿJϙKfJEDMq+Vt N?o09%޼iPG,7}4edwkX9f\C/tXqtܮ80<#k:,8BS(d7_z-~&aEG*3HbAT7pu3(0㵼lT*AEefņAm$cл6ssnPڥhf<ݾ9|;'tiN7a7}-enV| #,ۻz5.VKԙdq;p%l+ua"/#< ٠dYYn@:f&p`P4C Sf% x>?fZcn>'?ttbMj|2~lO'oIH>LoN2+괎ۖϷ$_Nc(Sm'Xs7JhCuv>z`rZgmzd 7xc? jKQ%پd^#^ ӿ||Dgw=j)QwrDd6S'MNMXk? C ;4E. çUNxd3 's%2/Y?ka~xA<^^usC$8P`]`:Ӥ3Je"Xs~ũVGOZċ5 `8ty%ҿ-KF;ن ܘl4~fUC;Oy} 0 c>?D_y-64`XPbv~ˏ{co*:a+>!`KJ m3&obs^0 $ Ƥc_q}ϣ<՜{,^E81E/D++Zkٶ dwX+YPЀo#xlӏ?A+'ĀXd>g|&Ӫp`'=>&+465zsّNI.t]ڄ$!4Rûwf $Vb'_} 8u3gZP/*y-85';vv3FxN{+Jek*)yL 9_?dG47A[]Q&:s 7_EbS H?a Oo'$[P|uۯz$BRW_ }>vNE&N_}u,{AW3-?ƭL_?V!x~֯&Yo/ۿ|_x JX!F% p<9ka6Efi[*5HΠ^ zvK78 "CHc*r@{̌e,`Nu8glv%4CR"v.唩瞗1Kd%#zH3kT"SeS:KeSNBaIЖ#;%E7}W#3v05:tu} a5v@ڽyE\[Z uv5(_J2xoftAe7sMn3h_|0{ppV8|3DuQ3*||fﺕq:0U=';'?:9oe.rjXUfH|,3~c|W~3m bimxӠ~ã!}m"k@oY'˩ne?DtkFaA=îdaC0+XbQHGl!cA&>:6 +3ؖף@)0|u2"%JfK?w(Kf9dz3Cd~ qg_[1ûF-{-qy^k>8:g-Uקc]&6Geͷ.`gv=:21ӹvCVodܰCC]- E>8AlQ?ѿ;zWؒ-? 3ےQ|nwMpxi/Q\Py^GL~ݎh#Oӵ y/n:("g ,|d-PaåhڮШ*3fgL(m6N oC5e 9^joh0!V9lC.x6=TN`lz@ \I"͕խmf;fQDjF κ҇` NC˚ǔhuR-a§r}\<ŷdNQdbcgh߀4䳷̖O,݇uo W%8# X^-mD;1}CxK #ӱO; ]ŬM'n쯫q /׏L7 *6d=} ƎJGnӯ[,5|ŧHus۪~+Oq`:y/p8Loϫ856 =ėD<<<- WK4$p[< -xwGd| xS!<{Xu&g-i-<#1*s9MA|VT1o3BLX]Som4p ֲdߦmR|jehM&sЙx Yu;$^OЊIm"?<2= g|ݤdq6 ֖o {fZ< >qvzF׵EҊ> !櫏8G6kISYftdhfVEЉiҗPt^$8q^/xoYz ətѡ,&Iƾz˷lt>үFVoLtڮzzI%y*7k6\[ӕӇڧϣ `lb%=괲7b +UDtaǘ:KĠCBL fK|k&Kا ?դg/\ &I Ke/7Q?9B'yf~/Rj_>%U>\Nqh6ǯChU7J\/^o˫]~|~=k 9ʇ̕'>m.v̧1auc vt"jl6f$ć=pHX at^'l)X"))f7h71 <5Pb&yDv VtuuSPس[R[vHN4ZjAĞe,)@J0%;e fID;ꏏvfot`Cѽ|B0zme؎*ѠҝzAʻIngʪ/h'pFz5oo~1D;ʎ>Y 4t WC|foUt< ^1)^HG $>y]p:4LFw>jQ_+"g~=}I%a(ݩ $+hNzss⮯~/<Ao:4%shl5}O_G}V3ޘe/MV &p_~TQݍja/v-s|qIBܮ9u&5)zt.xf#Ug#+x':}#w%?_]hKԡ{fe4wx,hA iB͍ݞ_=L[Xqopoը++l>p|)kMYʼnmm֑Lk6y%^_yﭲ-G{|LF4  cv8+\'%"vS>oSIB.?r,.]Ml\>A܀|MP_wM|{eC:dZf+OniH5RnaO}IX8}34wš-\)|piP@wpr$MlM0EoI >>ZN7-|dʣ@O~$N+^t?Zfx /V%x'!$V˛ э78Q ?ʯWT.c̃!O-g`[+9$0>Y_mm{ ̌)xBh3'ݸbX4}<-] Y` |~EU# k|uBs_;GEgԥ+9Ƒú~'8@IDATJԒ6'EE6|eIGv8_oi?/'nmDnfCځe%E3aVJII2GXfM9; D2н/9F-mEН9ϧluwGϠ<,_ C1}3J P9)@qwԎ]yfb,`m0J6 FM6 p辀f&+ 7<5&qfK`@A"joL9.s,m-GZJpQ/7hx1QKG‘h)x;W?Z}li2/U/ cՅO-ϑܱ߃ ;Fe,ӞD먓Ya?6{XrrIn~ձJ β@5>NL%f8] O 6fGg*zi6d36z9N_%X$е3ëmҗDneCE v><Ξ aQY ,W_]np5hJ0_k%(F8,ni*ǻ}3%f2֣7,7KB=TqNo hWDr6Mu -h/q4[H6t:P;fCu]O=7>I vuf%h[[` W }GrksQa~h):dIu{]o1'7Ѻ{|R7AGpoNK_(7%O:A0V}3 +.e7g>o`l܍+!b6ٰĄNiGr#]_^xcFu'9\ЅO )MKf[yȎ"n.K]5_>G+?f`K@Ʒ X?N>owsWâo>1҆`>;sm_i;p] VeHzgAߵy\_AI/ 8#'Dw̾ipsUF?܁}70$'Vh2tqHG u?绁je 듾nS.I[=[<<-9_g g%$*ln6d#oیm~Qfւkت3~:4z ʘN;Ї ScCdS@&Ts2 񎬴Qsh2ބte:Ek{'MUu ^*N_l }.?Wv3Xwaŀo v&m4<ߍmOL(\b8zfXmwDm];G[V) 7KnW'(_$4zOپh^~ͯz:j(lh:ltGz19t9-x?VՃ4{1A֯`yr]|}mZM=|o^>/˿^r;eas#M~w|57zYN:EApg&%~scJY d)ƍS3Ojv(YF(*N*.$&dn3(!n% ?bG^eYЗJ{vz NP(# 7JtkMEu|µ5X9p=clڇeg3Ǯ7o"K6dID=C<%Uv>.;?՗j}srpʣ-VwA︱c;Q}w =aHt!B<7|r69W ]hAh)7Ny>Jv`yؠoM\zoT|pV#~'N!0;Nbfp0x(ߑC|l' W6W-mZl}}kkd?^:{gstihVw$/]%9?L5զCå_7&Ps O- UD&bZb F3H?8t^eVX8:QQ~9["-q`)73 8&8k޿`t\N?I^} L׎sh?lĴA}\~R2Ys^0R,X*&B_AYÕ``fPa]J$AZ&Ifxp*\ϧ$ 0.ejWෙL G:?޹>BМo+Y z Dmxv0}g Z,v*u6LI![3^2@Ɓ XYH75ə dQsu4o~v4_l845Y;p#L l`oa5;z!,Fi+yxɒɠcM45t57  P ݣ]&>8G:!Hg')i@^M>Xѧ w[bANnenoV"*JG ]66c5K_)[&a8(lCz:_#kgj.u2i,G1?k"|ݖGU\E0 oB$AMtODϹ+)Wb}ΧC׀5H;=cOJLڈc ^ "%>uf7mH3i[8>}isV4IzlRBC+;ƧfjȻKti~¦Oۏ[;k=Yqӿ剠[~+I]O͆wd h#p%Í}&pGn&;Y"w;LenA&bt[[<~jGT*IK: ~}4/>`_.;wLw+0ח7w]$#VRJbo6 ?+&\D.VoŅ$'ƛ_bnHe"aoE/~xvyۆϢW/%%t|}B7N1^aFMA| cHI%c( ;Qt9{q &#vK+iccy j#.Y fk /^mTT:~s2LC?^ gVCu Rk&F@3#AڳBk1zS J^P:QAx S2;xU9 xP$'mDl,y3R XtoA+g@s^_Wà  \Fc;=L Sҕ6˚18{$Qz}9̫Yǘj>N}O%"P;zO4}W )$XYڠ޷Y A_dÀ@q[*~CK[8Jy=!6 )` g !rfxz"2wJډ밒U^"ak]td]cV=S^HhjoKzIpȤPN j^yyXEtydurWv?}w6έ]2=ɹ6ӯ&aW75K,( tlP$-f_j}(f#Nm߫='HGfUZ_ Ǜ*{e"<]91HN 6nBoIkU`7t t{f_ Z{|\{\$tݞ" #`KΧx]߱ \k>3D =f?"~{ ç ?gnIu[ݑ)ʀ :Y,7ǰwsp$j$V( PӮ>,6DDC /)gfеn%V'c{u*nЯYN<\-[Hw)~WM`79M{ԧ[[*:|ȂE{Se8C{z"`ŘrtO򶖣lE6᧯8:͜hk͚sJwrC/£h6C2$59=g7k]/QhվU[ l5 z^IijKao*'=^;Ivr Gal  bM_ئ-#7FGgDƻ+]yc}Eo+Z*wqCwmKgr@m\Wl@P>A܄?sa}v-{{jOI8'&DԇY_~{?䧘$?$ۋ.L..lCOMn Z@^Bo<;}GZ"9׎G4;r^dw]E եM^Gaj+h#.11\*GĜw(wp6 mNJLJ8+%*nj ?- ۧzmsJ2}d(Ŷg2ݽՆ{E[޽}7߶DnCQ?{լf3GKec'w}b{!>kܣ72m#ʆ^LLL6v~$05 |Gjg$|΃]1{Bkul_ ~jϮn%qŜt@֡Oj $@lhM(= NMPkt'o_W/*t6xW-!~|}Z 8^>88/N.!!ӆvc;>JGɄm\o:9֩r0RL4s-@63%v\x Ϋ>]˚nT 1ZY :^&6`3'Iv :7\1;9WNpx税v,WfL7FPD$ CG2*_˨jTAF-M5\bwz*>qA%ā32cd^n2TA눧ɕ쾊=S"d& wY:sK B˧uO{fn {''}Yo#2Q&`O8Qu Px@Yd8W ϿӅtf"4=Lt,~]4}ZxB]@>s`cf1EN-3dŖ-ZKAI0}YEc9-d}KԐ avAo|l]Xrw=fy> z|8*oY!EX;:4!u>"o.1X+ɻVBU/ٛ^S=a 75/Sͯmӝ:'!ϴ\ݳth?/%jG3I$ F{7LOWĘʡ{? ='5?Xko'>}^JGvjժ< ЩKtm? WDe%A`G6 폏@w_Wƻm _u-}SUpmxoq/[~m5/ի9hk,ȏi{tm~Ah\w&yM$ڵ%맶: Pŋ˟~v7Z@oy8= ^5֬ftсf r OJp-n~˘ã=h7/ғ`P:\!j>uc-oj[A ؽ`$rtjU!E$Ҡut^cYT7vlwu9NNpAAtѧ IVuHM(qEP=:bǽoQ3?_ፕ!Ճ=նxw[t=Xldx]i7O[u ck&,dt? C_Seު|@@Nd!D[gO|/ک*c+4g5~΁> T/Zz,&;Ua:=7%ZkbǭQVUX/.|q_iV(鍄~c6S~ߋڙTOj}t5N\?tW?SnR|py]^VyJn ݠӿzWi+BZTQן+OL\Gʓ q`GMO? (UEA,N``/9 $%)؆)%zJ(UЌgT2Gxm?xAU[PC3*%0g=3N`cSA3 <: K -YoMxJ0l501[MjkN } 2Or[Q]uI)S:u)O[EtrGFQfɓ:P#Sk-%]ө=!sAYm0G|SaMR8\3:7:˼S3,9=Yy*Na|Ҟ68`mfSy,{&Hjb1vCw4W}zVԞ+57 o~ YGD&-:|Lh_7U|C'x0ey3ћtN4qЁ;b17$Ξc[Yx&6H57L'(o#VXL_/Y f̆t6elْFBbs6R^iNFO'6=?\fZ3ft%d1h4(6&9Vn 4" 18ף|u+q;|0jvM_{q#K"ͮM}5b61?.mj?$o耍u/;f_Mj;]~ u峲<fb:n뜏+/rh >D`L>.L-T>; 9 쐏@.l zEk/yfZ^' ̣ F%g:kcaslhPu}ɞXoQs[11:Awk(e;u})v p5`M]V^;p9;*ןvZ}}GjэdW&[n%uqOx)5rbp؆w`= ̯ |\`DZU֡kMV Yi.EvPNJ}_|n[{#'jjb6A*5n$2ӓm 3x-}7xݘa}矣+yC\8Yo~TAk6w~߹<O~7/~q]wKrߕBHXJbͱDS(\ vO[9=-& ӴK$XUG1 |ED\00tOo̳OS84O]$0Hn3S|t}h=xhITΪW-ѶrXJ8 S}m9wo#=fhB=KР=[^VVފ<,nC\j1ߠB&=O]q ^>+?኿qtpŸKoï/!TC2+k,Oe[[H]=&Xn$'gʮj\}M%Ϟt:{zĦ}_&L |&۾]J'zm Ou1GhCۨ8;hRK*+QZR] |/bj_ُ/o8*"OOV(HzT1et$]qT}ll߯8 BZ}o6fF?_ O'cֆqP|*,BJC+X-{`rsnC:Ng, R3[f`Sób:ʹfטR?.5{ƨ$||u@sNȞC4iZH(5[R+MSaCi|*()չU*^|1N*vCtJUWx-K/3+dYAO f^:+a<%)W)2U)(cD>E}E!hZĦyzO LfuQOp?㴎C-BC`3%8I捶]M^gst]i/9$1 wF^ qz‘O`~{n/~z{lIQ,|>p;~h:}?+z~_˳/i_ 6T) Y'2e&l؟ނ=OlN taO Wt&w"?3fW|Q͏-u\2(z78t`25]^>K%opK_+ Z/\7pW  o_nrȭSGŽ Sc0=C&8=k|(J(Y}хp6 [u~5{\0i :MbAPӕ٬Kq銾> y׬:_9Aчϟkta,߫>K,ۊ< +n4[cKIznzj%(i. :>˱D|u@7 Ҋ|>β#;ŏ! n`pcA%@PQY[]GKqY;0o:l5$b];tuk`xNFsFzͫ~>"!@}0+|mbpb}ҹ#80Lf&71A/ͧm[ƻvt?yfk5;7;4"sM{%lՊDpnGޘB7~gn$'6Qb׳zZAU!b`4},exu>ҥ;I5Thb_SXMbtƄF%)k}Az ={lVr4y?.v9}9LT:Îf_39'!P|0׷%|$Գ_xdr0a>>X-wo4ӟ^ ?6S_K [pᇓO_F_Զ-=~]+yׂ6̻a?6߶rɟn]~UVy8zMpL3!$I$b Wyeel&ϥxfuTsh :]y5Xhd1,ނ2PZavy4fin}*Df)،0Ç5g8#[e))2ұ@ϑ`*q/<5x?rrKM065 )n)3طXf~ϋDsQd :yR7{K/qb肃{/o#ep`zNSPH I$+G2JyAV<0/6D8nWHO!=ZP2P<[*;8NwVKu]gnNP;to jrusD,ԠI@ONDAnI@v;,RpfM$P! ?Ƒ`[bx_8UmO f _5SV2HOueY llt0yP>jY~#F,6hZbqI zg |7M[%l(Wnv,oC8IC 9@hu ~jחRSppxmf!ٞc@^ϭ1 V,yF5^\^`{Ke{*08W>;ŕEGKNa8vHWϱ="_|j罙gݎ¦w!*;c:Ϯv|#=\}z9Bc4O~;}۱el=􅌡kTu6du.Lk:1jp!!sϊc  O>o~ '[IT{`Yz zQ輆m:gXAfy-%QHO6t tu׫ԀޣqY /]V/W zyW5ɼ+cVftAl$0 oO-k5MmvoIh"o ccgd9KݴnmKv*8!J N}( \L]^KF哇6%~F̎УP/I uq'͸>)%7i.aлer>;}?~unix\׷L]|+Ʃŀ _zo>6KX|z,9qTG7ssJL]s{Ij*%TjI);~2l.~&;gEb_NRR]R|9?+tKVw|I|LcM5 g:IV .Aql/1>J+qGcb;W.')Zկ_z^T{hg|؆m~ی0wԮ%*^%ٍ;ևO_> #r8"ĪӯI,֩vn|<$ΕOz-4?oxۜ+ob^@*߬J}PpT4|Kt~Uc>V&^}7Kb{ϟ]?W/}OҌڟf'(X::9me/:Y"#lPx=+!η% 'Ol7wnbӻ?7@+_ozUG=}yPbx񰆞_/|gu(t@⼶͞ aWo"7;L0;"8U3wϞҦҨQ)EMl䗘[ACLЀN ")v6G;:Vҭe)_Nc2XA^r ݟd7yY~nm*芴WP)4 Q& hN w2De 㵃vG%-jc]XhϜRn͖4%9c7 )s gzNnGQg`T$VQp\  &5Z%w<NβЂ@.=IuOd9gMo Cy+ |ӅcZ >zH @}dVXWו)O/!@2dQ\@4'׵9XM-Y0M봚a:Zve,[O >^Sy`87Z|5Ne` plr={leChp߷+ *@}yhYtaşxWmـD3urs:B`x.}Yw::zu0~G;| 34@m$^wAL_1y/Xv|#}T$w9~|wgKRbWgr (=/o\rВ2PYbp@) ." 4fMϷFt .ȉ%¼G* bpC[}f/L+!Е&U9KLs>{ۚCb7ZqsMfJf;[A}+C`!o̱Ӂx!)M.noC?q)z͒1l3cÄ8^Q84>1#|kc3$l >֖!Z5ʧX~M7<=z4DL z$*b` W *#wcS@vů-{$u p_l/l( {.֞_ňݗ\X @IDATo@{s.y4=~Fk];\V6"lu f}v'.)ƅiJjq,+%~?A8z}F0v__NPy/{sؓsK7c;vh٤rG Z2͞Om/E%_6Pػ+s0~|/ue6~׀q}zNhqE]lsޯZή_^]W+2ȷOʸndOP/~+UV7 X~kĒJ(w#݊"'y `}-Vde瑹^R)xO G`:[oJp&:kxR>?7cn/k7ǽQ>K~d~呌{Zn.VK6+(HdުMڙCɑ6xˏ/ѷ ʕ?t_\kQ?[a+!mrOdCa:`,:~++4t2L6x/&f @fUnQ M]iP?gt# zg Sg;sw`3z._3ܔf椗! x4rNtϬ»>' lp5BD% t@G4D<-6FLx=0~m6fsr2khE!agy~ٳ9g'8\ L$﹪ђ=e~x7'R]@p3vryQ(4) FOj둽o0u2@3[ͩD>4dι?i;*sZ`B'xt@&^Wp,^d' >Q/$6뭁eu7E4kX9WP >7XO>5z}e8t3Py'g}-=~5]F?WX =m!Sn> ΢np6;[p#xxt u,:MOg5z5e\]:6 7>f X,^bM3$g+ vmYaVi1<{| )0 ?#Sn KENБk1Ҧkɺ"S{22챀`8sX׵#V>̨w`OKg1'}C#ӷ>pxEÇ =,{ Zega đ >{UoɪM(՞)4 5z#NJ ??a^Gnb8mfc[ِP>qs'jKr~W쵄ɲ h ۷^Nn >_g7O=y,1Ak m I/q1X-`:~x6o}yyv? ϓVR4NjW=xV Q7ϛ|ՆdmO{ɣo^ ڇG~Uߵ#/wy/#/~nRtK^nsmi|"NB>!4X,P#t.א!ҡ]rkC!xJ N_fxxB=xU(v5N&W[7`(co[34\yƝ$cϔmǔT5{?'H I6,3wRe}B9qG@FÑRifە:>eEf41>|E ׬,>#89jsYm0Ln|_˒qs U,nɎYMvs%{^^No%"lt*5ts"v9vu$:;\,#L+,;xu2<,dv6g'ؒtG[uG}:^k}XZ]gޑ1[} "ivgV2f no$nM%y\~Ռ?'p}}N7ǁjtA`Ag3^4:^-^g 6~3&'9gղ$'+U<26 oobёlؼLXG(ϹG]uC[1U;.;2+x·qu6Ε#Fzdz9||v#s;1Xxtjeީr, V2n@v `j8ANu/(7o^:3؉O6fwqGg-9}K, G̒g^/׭l|W_~աOt~'Ԭ)9}aծT,̢*­K/sID0&}T-)f}FWQ+m2I7/n߻{O]VIr#Iv)"еLާ?ñ> }g|#ZY&ǵi3XĈO~ǗO](v!?hC7ex9H FfϪ&myFlXȒ"t& Sar^+uEft]mv=h'&ƏVVH*~ u>ƿYxΡ'|,ـ; t ~xUvUJ /zP,Z-ߢ/D?ȏ>[$ l|l[ n݂: s6_9b3u3=Jnm%B E=430Z7K p$+$]8UAcx.=0l`*i*ttr|嚪*kJᨾp+MV x.< t ǫfr dn>ukdmУөn3lX+6K] fӵK61;BƋ T eEIQz[}Z u)LWƒ}'^ۂ\\#OE+UFbaRܑN]'7 .q=}DE~6ol guM Kj.iCt/[#xi6\\[ >:.ɅZEk+A=k[ʉ~ab'?˳uc_7a_1g:Ja~08K<]ۻ}'feYznڤR ]|\t`W‹ 'zeٙ x"+;';[Dg*'#ً'WRᯗLT`{C@XI|h`IKH䌙~lr{ڎzr|xg),9-$=O7AE0%Y6RP-^g_ѕf;oMSv?g3Ex2 6 84^n<`>bu1?K3@{fbW3"Ʉc#S6nFwb&#HNu~37YgwG _3)/ՇGXm5v: ٵ>pNoԷc[~-Wᣧ'b8ڊͮS== Ϟp/>Wz^~c/gyC>)db~hBdp3Z_bQ-J2,:![[Șn\43| $\p|J\֪d&k(bY-a®CzOjd_uoZ`h>%-]!t.Spt]k<ڂWg=ݚ j.*'ZL +h7$ F_L%VY}l1>}[PO 0%Ds茎M֞}ѺNDF/9|fcw14ǐ< ^v0LwvBRhC7 ]VwspSjK滇~ӧ̴o%`Ze[tѹFu 6筒V| KJeg""IMٯ#ߵʯ .;%1o|-=ztj԰߅)whc8݃ |!n?iCSCyS Pu|_v:Vsf6zk. ݻ&.+Aħ-ƯT:U%A o2l7_NO̴Ⴧ~{yA߬pmĖ vEO$3^ydopt'4Hz.O)hp:9lkX]ZW{ӽ1n[}Q|<S3] c19h u#t.v&IPvE%Q;Z|ں\\'4"(-_r/`m~/\[lp<oNd\qoDhw7Kd`+wFL2sn3n215?F|[*q׭ꓟy-6%2NcW-əpIo= & }Fz+!jLDJxYy? tJyQ>d4%ޔdCkb Bl]اA)'qƠW)Fqh#=O|&ΘU ⟵t?ЙoyCݧ</.t'Nx0zG}둢:\UFE7=0o \ ߥs /y_G~<5_}tV4,a£y˯\ /fNWlб igbNb㎙)AXzl 3 á'|=3o? NV+.QVJs8_Ï@Ȳd\FcXv stoBc`1 B4SpZ=9ՈNϬ&@0nN63:)f5 ޽66Clz)ߖL 縖RgԖt)6TerϬZ@b6__ek甁 *Lc2b&ܠYa1B/D5<ғ ׁsJ{"Zm_x0͊ڷ$c787:U 8\ :$cKÁBmtß^X ñk'ڲv(EЃ{^D,ON9JY| ,7|?͏KF荵 zs:c)ʒb[X3JaنBNV;Hz~^6%5V&Cx6znUNthoGGhgrCe+7Kd F{e >0-g+gi txiÎԀNGU=6g)LJAa\,m_{3Pxb=ߒ1: uÓ-oI>0nLOiekt'E|vOo%t mpƗFY=9<z((RnK(5}%K?+й 苎=9V2?WEG5|$fJ7&xP!(6=w?z>6 ѷZA^M^1r;&z7N]fѢk ~Lࣅ1MWn{hMG`kCcļ5.q[+?:w-?G' Bg_3kE~a?Yd_UăJfx$ `lG;Wfʭ|6@`=t_>\׿dMd1`jFԝMCVr6H}CZr mJF#kN@{}إa߹"Yl(zӪ?|/qGtL7Gg6"ڊHb >:śp|꣞>ҒsM J,XaSm޷]8^yxK6shY r0[a^'mS(.4{O @(Є ÎY:xNBї~xy?.E]?O|Y0 \?6f`^}-w4+m]*4)0hvf`t̖>M^׹xzxahvnZgPJ*/Ϫc 'ncd1}44C}~Aؽߕ+8أA_t /uc%A UҤK} 5;oE>&(*<]J:3C~h!}j`{D3{ y m=oC'^kVG߽{w./vyWv{bWAOxYߕ{ ^vne'__~[R3'=*/.3(+A>IjɀUEd'TV>r̠~ =O7ˆ ܖ#c@A+g%DAK>,gr} $lY=3NR!)fu9X{ " b؄=aed)eFeO]HGS3/<9;+QhQ_S!$"43@wdͦW2)_ =ި:VlAW5=Y%0AoPZ]ܔ6% 8/fgtJT=@O^?~,uPEg`-;U~jum:~Lh]]CEƳ9 ѿk2YXfU` 0xJ!|2"6A$k:#S2'i3L8춺,W__m[vscaq!J: MghQp:g<\oǩ'0{YZ(u:f8G7|8U  $?-6\N>:iv\˔Y EǴj2:z 2Łtfwoha-s:^V[;\GKW(YUV{BcYsՖGkF ?|Me6ѝΥ mz{--qv5wk2|}^z(ٳL<7Opwn>kІ-ai_a,6>E4Kɿʱp9`jI7,g#^>Og?ШzAR滶]'M,XWn^> ͇K2pCWf(P'8"'҃'^lNjn]kƤ[5Rs7hUSh̫&h8leKЎgc\ ~I =9H鬺9iz>J>[|N V{W4)WKh2۹"&b{Gkp4?os5Ǵ6i <7 V&O&Q[ 0k&4{xm~'!e2gZ}m|4M[lÓr[=tǻCINR)NF͝r>`2<Ȗtd 8d6,-57" 믾X (زp7v7/XFO"(ud n,Wg+Cl1gR8 ?8w[Ȇ $'htH@lFwRʽÎ%$FKIn002WWؘ^§NU^EӖZ's_@^N%u =Vom:7&Hb bpqXf,șciTJ.]᜿ nlU :(Ftg ŋhLWAEo 1/t=*`9 q@h2:~߀]\j #Ytɤ;5B3z`nIy+?DXF[]]{^_93Į[a|֞ Yd8!`եǓ)@'څ $#eͰ ?tIjlUY=% L7L783u 03v.kf\;Btk^UnMU 7u֒^]_1B iWt+D*̎Nk`0kk }CsҜCL*(q"OAϪc7VCߵ6n K\wd8weVꎡpD; 頁=d^lZ{~͌S)+?xMY_6>|] ݗ bHWlQP[U6VU:0WG "B:Htc礤{|~hO蛧?~S_pHBV [!m8K!g_x,Z^կ~yן_~#g7%V7N@f\1ovv~]A^ &`c!p[;LP?v_VZA$wAmE/NR(P\OɵkK$_.l_7+&KNtB{-h5Fw(Ocޕ}5zWd1꽶pe?]«>']{iyh)UAQ#)zT[m55}݀-qŜMe(kL)4TndxG鬂TUmMژ?O;;El6zw~Q c/62v58qO@Ns+.?87zkGffЧ u¯d%i220XW|dM$d2sΛ s^V%}ݙaƄ:DV?*N|֤K}1I_|vŷ_S~(a|x%#0se26y: P;LLgbHXòZ {aȞUi Ea0:s;e^Cʌr3񷸎c,Ŋ9)X!(Wɮ)|MF1Ѥ,l,+mEؔ}u)#ywO3I`U|x?\FsR\Hd/.#Q '(Ƃ ]j&i O g Zk7 9[$~HGS+<^Di{/k;\ܠ}7_ m Y4#` 9(pYp`hd1h? {@N"/6S ;} |kN?!qǬc@*Ë./ ͢ÂbxI<0 Ggw^&X\ =~:M cfYW 8(;3;dA79#9I7ao{D|!#m3@3ĉ{SȅP}x˝"SvJ5 ,#-\6X|ʤ̀gEG;ɛCcLKoym&5+R]?+#k z 0uZ>ILK\tniW8fGV8:O{ED rt=&Iu\{[5U>ݶCY\uҷ~|/T17ع=Pnw WZ sF>^U~p Io{Yiv1;QxS7Sa;~ +:5:yЉ~>G~P:vp&WO2بlLr >\Rï]Q2L'vn?_c}T`Bi)vIV^tmQۀPm fYL-`<xn'4M%QF?8}=mсU/S ѤVp6;4’0zlc9+$#8?*;pIh8qEzLQGjgtZptzÏMpkC<@'B-|1˨D1XM ?#6{D I8q͍>G'^ÛpGd_AگXVƛ& 6C/ئ"c} L!\6^&0`FϿoo[np {ho-xIdFqL-Yw;<__?skKo=Y_Ȭ>>q%k HTu7zxwI%*c5r8T?t}>o񃭦3ԋN5~׫-F*x40i)r}OK+qlg)0]ŧb9^E8KCgRz÷ɕcѫuZ)q>9F.;m@~d'l'C7>W?yhڸ/qOѾ`·V짖}nfr';-~Cwc*L4@Vmp;'caHw3DRB w߼іf-!;mI[;;;GAW>StmP$_|l @I[^\QTƶgϞ|ryq[՟\87].w7Р?&>I&ߧ -C M|=m{?] @ۿoPr@?}^!f[pr3(W[gB43]?PyvX7N#LBU'Ј2nǬ&@QVY 3njEɣ2SKԑY7k`h v_emmͲ*_% ƽQ#W@IDATUv'~|,D-XZ?zy ^qvJS x^Pr28Zy8pcI+Md䕂%pkP66 Q*(aa#Cm࿗߰m5!NGAR%q1qR`qmV4(+{},}YFLp,*Z+7zs >'tf|0%m=V!qA١9 0Oك{^[ʗ.C ګ,=nΙ=ydssH'8C|ҾZ5`%3k1uA 1xqOtZxlsurSs`Uɖ7- XI9'Z)PȀqA^8`y^(Mg _eS2V-RKHиN^t댯:}-L3uv8eIdk{zmCNr;c)8zUA>+۽. f! w_%o/-cCN2F¥[*ZTOX} urg{Hl$AZ~u<+ Σ slNI2e3ܯnB1eid\iIjL?=D@U {If<$<$gk:<+K)P_RzNvSͣ^w ()KpOdtt#•6IH[$N=<h ؿ3#.駶DGFUm je80V S8~ҙoj]_:цUϋm7L (g +Z`εGMlPH9|W W ] p֪d{H?v(g􎅓ochv= `~:.E"9͎7`$,$~2xj{P /nA&Ln8oLU]`TЭJކI&[xGqE0`!_moQYRwCW8$v/Tt' gAP𬬳lgp^Ye}md:I\{x{2hWzus=6?<' _V=%: ?>t2u˽߹Z; t5}~?!u3AwsЛ'g2&?M־X-#_[vO[U_}~NʿMesyo?;kiMZlH_p^z܁^4 ӿ=^_7\tx^#dY:f/s?x`ix-f#Pr&2ŧOH:3(OԊ>u1'Ņ&^/~2vsg~G;<3ĬU49zޟyeco}O?\n/ɿCG.(zByeex6l 5|c.or)B3 r!KSLY V݄l)K)̖Ӓja;;kW u9H%p5.')PIxgh[&pՁU!P輶 7/ެue(9E)Pf' sq3QTV9߾ z]^Z]qn]Z=[6 nϒW#TNm֑7땍-^+E#h+Vv{#6\Lo:AnijJɏZۜbsꕎWnAs*4w 㲋ɀ1Vo$m~Vc:&gVl[Gȏ=oEM k/#ςᇗ%Am`X.DZ*c{ߕhNx{ڶޔuj2h鉓 d|CO8)¸a[vK#ksd+;a#b *0AF:x̧(' fk;Y}_®2&.8IFUmq:6,t >W4 s%#/%f#^nƲON?9=P9ZRa>pz4&de[)/` l6}IL|[ѹw9 F#㳼eEoޥE\sd3Dmi m{'IW B^‚Ӌhs k,;s%iMug^E/3lx_዗r[⃳YP:d(KA$WI`TnoI*S 6W\lC4ndH&z <ޕ4= %Lɤr]8"- zA><4*`ZYn-OtG7\ Z]*|^_A_1w0hdWpgq`ŵ50Hk`/DlLCzϾ ![tu,?}÷5}d)Op;am>\P,& >X^`v_/#Q*A&WspZW+hgEG߶,O|3^<1b7+K%3[ 0}_{|ыbcIM^ٗV3fW =2ĵkS:>_f0LWF#D7xp$^/Wm. mSmk%{@vQ'Kl8yLFɵ"{|ȸvp_Ecgf"^A1<_tpglY`/5__F'ȡmozb +M?,l|Nߋ66,G  @%͆oO:gd)]zZ?`WM\Y\#%zŪī/SŶT8m/Kj˗Y7s;M?<=6iiG4OKg@Mk<>T{t':'Ckv15n9 M~O׭˟џ\~'ZzQ)x ?4v1i+n_x1CdsKVn))xru^$KB6&;nWo8DsZDQ`,YLń2M,FfMS9dmy jf Ž3a@fR(n(v+51:U!XVlҏ@m{Y'BSe̋JH`%^}ʌ{vY4Q>!ܢY`6X3olOIM #ỒmUF0G(d`mf3/QW'D#Ckm`+G!92L%÷`Ӂ90D9iq:ÀGkSLoS`3#Y(q8?ʼnoxU{fqׯ`:G~q^aQ סN@$$6Prrm;/\ڤƇ76(u>@ɐuݷnNxg$8LARVl?`]qqv2rv5TdKo|&9JA g /. ޣoN7#˙hI Fi[I'rm =((k-),vLg*g#Ъ3dO+_[hy5uٵIY2Ђ#>I}l@hyU8pT~xUF`fgnupϹ8?"9VW `9| OfͤH, kF =UBCr w On<XsU j[aQ<%5Au跶ҥ_G5?ZrF`"1m`|$dF? O`=hmD}!x} 6+x̐m+f3.$t2|taE?X;5l&dLwӊ3:>;|t%Vۧjp=-u]9ۏon"" w8Ӂ|J2@^/Wr+^o"6]Fs4ܭ m~_Z~pu5]D7UFg,^AޒL5b\n ~/IA:Y{`קo~#yyhm2KsIOz8hg`֡+9BhS{5X`׏Ыk~g+x|אpw<87>)gv\``_w^&ů7࿨3 60V7\w}r?m&5>lPK+sNdd3G䢭`y;a_Cq>t1z|~@c q3Մ{K\|Y5zvՍ\>$nظS_S^dB6NJY9=6z'cb}&1x|x@ӛUE{iݷ d2DV ] E /k&%}|09θ\ɍGl'w]/nuvY+ z|Y'v@ qUżd~KBĝ_~ *M*sCbXuw>oF'rz/n_ ^/ϻﾳ,>{ideŝG b1̤[xrڳq_4P7oپ jq>c]0߂x><{nǷ3>}PwZq숙edqBof 8bBW r1[+D9*[rUd)xŌ:0k~u(5mP{ũ.l/?eOu\3d  i%#hDD FƇώ%~u7({N "JeN 125L<<0f(vGiu-e hdL2e|hSI 8׾׌?~dPgj@jć *)/L2`xXY:^ &7mntqe`WaVݴ#0:u^loՒ zczF!ʗ?v(f .W[{U< αhA:-' (HN>e46 _TlfV hɶ ɥD/qm x.پ[*)zu8o<|Tt&S.2y&s_`dO?b/cJ+a;"SBǂ_uMOt8b4*XgA9E$WC^t욁=sl`+ roq&)2W= {NIe׫qSxW6>@LߘCx SUw'cG )õE7ь׸O.Z'U}.W}3됳͑^5x=r!:X)5!B UߒI<݊AF?lܶ M 6zY zmVO84Y'_I?_Fyq# gss9S^VFy& p!B2׼fˣ?v ]UquCK4B_G+|JArxC|A隢ҭagTNErx}[b.v_ ~?ξ?Qc|%N_cd#U F)@׫xz=7½Aٹ>1x7&5),NjPBP,OD.ϗd}Gd׬&ҋhvI=lcgfO%s=O|V]A?U3ۂ~η*t"z R] Kxذ[ll$%} Z7sfapl`u=k0^LmC|6Wr¯BkuV!߯ëz\'}-׃[7Zi!hk}b& E,I!^UBwo[3'*jp}E>O[y֧%ZczQV_5&:U3gO? kK&w0ΛĪMG;.wƀ8[GOvz٪c~&=g|l^G}W[%\~D[il?J_qݷHmOA: y?Uwz"WOےܸ7gN-_6pUy`lYϗ7A n{IaǟSAdqGXwiĻy_ZFfճRi_\JfD>$)0ߞEF`F B"Пct| 1$MJRd`V1): !0:73Ge_-0e.EopL6"]G#ZNa9 Qw2^ڮggpD'^ ־toNF[j]$2N-վe0f#1t{U2ׯ^l_`~6Ko>[)O'ބx.wڷN^'̮ bG5:ҞBW\p1*%瓜a0Н`1 'w]zBǣshgo,9? nLY`#ܢ8^+E*zz &:',QovT~e/ZC‹vN$AH52v@װ̀mN-##=_SGC|iAdzNauDz~yk81eت 3"} Gl |Y"Wx<kfYэڹC;8*`餗@WߠOLs <ì|{ߨ=r[ɭنt,Ȥ'[V4g/Dgae8tTj1^OpGj J4M>y6E|zÕ9dS}Jvreԡ)0Hw@ ^HDSvYy~Цt|EgSf?Jx/7Q#y$*@ȵ# J V*T~Yݯ|L$yic1Mׯ5ze8*nWO?;9@Sh"r4g?jSKbww'FLn}6;^u#)0;amw~gƯJlKh;C{Z՞x8o\Jݷң:WoEl+?<'r/>Ik0\.:pi|7O˗G?)u3{힯aL=]:}p~zwdufvӃǏݵCtAQbg׿?g5q~O{^lgJKt|y4=^~=o.%O[d=t`\Ʈ%_ONOa+r?n_ĂokFZ+18諶<}$;d,H!x'8 |iȣB`eu~$7uՉ)]ժpx1@Z0 ߲#O.w݉ =YS|P,2pf6#<{}WՇU~k}Hg:xȞ:Kv1Ys:qtR f+\G9Rlo/vs_NA"xlHg*+Oa9:R=]x'uTpUG묘=4[uC2l=6WkvN'L;W%y#W% :)ӷjN3[r 1h2<ʗ3:ɡӋɓmєb1]+OHw&~ d6|PfIAVT|G=j9&wt t xd^R f0g`{RDhC?8흽}Ɨe &}s_bx<8.(:1'B#6W(, v*=s L..y]ʣnH*+:G|J9<:_ZeU3>%yĦψ'h 6 ڡxWs4,3 WfAWnqa| kw:&:I^|範/ )O/g'ʷ^T@b]'O7(Y]"W|l$E[# oFg%a??'JG.&(kE_-xTxo5>}\`'CV^>mpa)?mPeUY⌃r⡏^GO?:ޅlPBvqP;9\Sﾽ@U93#woeዾOjfp>6`z7ar}JZ|l{F!&ZRr׬_4Fjy(ˢoo~lB(n?-fq<^>h5 {BxH,ݝdMF+؛Э >c y-6)Aw&D\˝ȶ/A`˧~ځӏ ",y{&9 *>}Wl/z*{%b6@ ~|uRҡ &ne_[ ?\zŤn˳4n<|_~g/<$ nwC)љLY3CcX[LuN# Ȣg-!x\GYAJ%Y+SޜHm$Ҋ3H>0 NAmf\96ӈ96n>8XoL1 'Ng375u1`NjڀǺSk, js0 O :Mw#8=)xldc·O-8D:ioxZ%@,hpxfgy^mU$knGÛ4 %̡r$ ?>2#A@%nᏞ;%IC3}@uP+,i|]FD-+z>uA\<'3`h:6@^N?~D2ynfc:@{ vjm5OnbNb[P( R«2><){mA1>>x_#ӯ'7>VXb͒-w= oH+P>mtd٧O?zԱoE*6Z{4W,`jlH*Cow cDG ZulbݐRFb@#>?Z mJDAs$$Kt`kOt| @LD@U.`I+isg[28~WNN. @|HH묖㳒-kTx%$78fųkp~^i)g@c5Nh I]zg 3hFgtӑSIzbMNL;  E,`:UD7PndNY}ׂxnkXn|S,=[d29BvŮkچ@C稫шxiIb:@I6^LJCsHX{;4F)xw|Si@!)p`Xwo-I4;@lЕs>t_{w9~ ~9ܯ*ler?֩ˏ7iof2T^ߖkVo}bp_;8?Gdw@p`]9ő;:4&flI.kt[dX9A;>5I 01z]T-Y~~fS%*0==pǘLi/;NyM˫B:րE& OR.ڞb0XxqV{Ǜ•/{ramo_;"Imá+xdD=SGm%c8d;}zu?W1ك}|֙8 fu]^/~ gq%3= ߒe!?'+3ZkwsjĻxtc8G1~>MXY7 PܽRٞx[]s A˿ |;6l_?DOjcG/Y]jg]7q=෽=wA.ᬢJHؤ^-fZl| znU%~L/:Ά~mxϟ<|>ϟBgK|gS/7h&ӥ!r?ҟ <$Iɾv&ٓGlhL._mBm9 G. <{}ϋ ˭٫QF띔5#cQA |K._GG2$%d BYR^& IqlV*)ul싧 LBr:'09[ =g^W `lP:I`6dne-u2ws3;mj* d&pCdxr( h716`͂,QkcA::XVII{C87Îrܠ(=2`-{#8͝;" rtz^r*~+>\br|z J:DzƗ] c[l/`ll#jzؓM&ݤ34K'Mg_KF9QVYěfd ;Ӎqij (=af *鰂c4hC1ʞZNf(ٵ Q}x[[pA|g+}6?Ɔt&!ov/=ѡ/Ht zxDn"vr h"Kl 8s}10bz (GMXtNpOEǟc}LE* x)X `[.'@;i[8  ER|8ŝ{Se iDI`r]g< 4C"j<:AD~#H}2tʇݒlh6ٻЀ8[q>4?Ww~y_exuVL# 2E%W1mZʤ볃V큮;*z6Y}uM _ǧkKF?}hKUP_O`| $)!.eؚ8Q?]q ]߷4vd/xGm ->, |~`τ:]xgv\C㍕9+\giZ8m:{S[l;#ˀμm2 yuOS5Yw~Z.] @L{H K^ ߌ7$8 hQե+Ef۶myuTgq<NǗ#Z#o6UaO?a ~4=Xb-|7sj5I4ǯ>{'2 ^.5=4Zvvb3tm~1=vb_4$1k|?sfd{dw ~omK? C%iko=p~|g >خCظ:743XA-ϒ&Ceq񌍡,I ka0LxU9Mäڣl[9Xʏ哟q[Nf/l}1HogH GfK\]_}WS,k,{+Gy.zmvcXuyλ'YOi9{{ww+[ Se^xW-{6[N)vۇ }Tϟl} g>aʈ/Fx;&`o5{HV)^F7>ח/ϛ~O?Y_U{pyƧ Gm7w3W9޻;|V'?J2Ͼ:D?}Ot!zO۫-⡏>lp~{gIʀo~V\ ߖtJ_lhTV{Dme~5yћxwRT.[xE3)n3(;g5vPWN3Sjr:y+r8<ΪYwM,SXψ,Jka 富EK$肥4mrUa e6/9wq+'iVN6l;xkXn󱡋cgAXg:@7oYrhx=g + 戄C`kLAM6gsH䚢wutZx`,Ko9#)ޒ8n(;u(C8y@b_/*q_+ &>>P;6ɟw>=5+sa}eX/`0/?)qfR"&^)g9i򆯍2頁:܏;6ŗIJ2ӻ Z^F24I7ɫ2{ыSovmz7u_pmtZnɺPwVOw$ctaIh T1~)#6S B "Fxn0 Bn`ԵlBm|#)v.wx6K ۴gb_*&JPMug:>|fsIJ x.0ZBӟogI&X);/Y 1'y^`zT{1Fm8{=x+;Q8>kǵphi ⃙/ ̔O_6.o:Dn5-{񜎜YQ_ 1a[_2FxˍP Hħd'aoExᑲ_#;|SQh;Yp(T3[W<_]@?5PY :3:/N$gPk 0xIq{~o+-}G1= OLu $4jĖ@F_=vjC;}:sDD>@IDAT/tx"fl#m+9 n||xOf6h`4aCUKqn'2xs 6`x7]ߌ _-;}|G#*| }U0 ~V \M1&89]aCp`iNYtX{#GҌNIମ#:U DO7 .ڏImh^ud6?In7m>yo{zdabg]ۆo?/'n2}aԛߕԿGo&:G=xQ<YھnPuKkf}%'%=ֹVTx'iFvxR"x/~Q^`e{1Wm 5Vc M?mIg_H:~b:Ioڢ'IJenܑ45<1'?ת {Aywp U56cQaAFOU9GTA+Ɂ!>q~nxes>.|3.Ȍn 9;h r1M%r DW :Z@^A@lLj44uT::NIA s)4 ].Ξp8m{2`u%_*:tuUMEꝯGnt$fQj=q4~seӨL3T3l0PE`(.@r 9VgW68s+Py"8: y6 '}W_22^g<-<7WΒozJTF ߂$4v+˻  ֫U^'IА hP#sy:hzޝ-LeUoY2^j'7=̣}<Х3'8vCDYߪ+L6~A`А HYtcG^O=v`{E@ G~qNp^e&gLx |UGџ8;?j . *yM%ek>$W~?du/ӹ%Ik!zrPpF&VT5׀ t@ѻjΧV4B)ܒwW!#`+HVJDɲri{=*dI РU4vAW #('a'Jt:& Roc{gC.`ɄW>)9zi npXB'tX3.U!W|8|k0NB/':r(͔r!BVơ3Jp$ ɀB-;N0 &[=g7 vz6˻gvpC7YE`n_?ܠ2 Z EΌKx 蒌MUJukQ\P60KxWZrAwxfL@"ŒQbfW (>:*EcA>z`VNtcv%xDUuN.19Z[}WY:Z5J~?mгI)VOKCu*tz;L2 1<~ʇ%nY'@npDdmwt >aU,\D@ƹM2_r NmRn`֌rABԦ'pyYbS}l9|I/Jndɘ~NcW5GA-uA6'>+?2KP.d2ezm(~l([w؁7~wMTV-`ADPhFH|)حt0 ;W+C7q f9ǖ~Ї78s.75Oo2n>-\~]IQ>?C[]@52A|+hZZե/qy!T0xE.v/)AZ4P%?U' U&fd kϕ2fx4gfѾ<ڂs]5 o>?4[?/?jCwiKӟ?KKԋM'A~y]ݾ|P_݌'Wr,$/1atO锯; U,AJ4ࣉ51~JhnOv])nX_XpҞOnp·Eis$ ?B c瑭ӯZVqK|VDnO-UƗ.1MZE0# bvcyK MlM"' n~+~a4 @O RK._?-V B[o_/cxhLgZ]x~+p( `)߲Ć1fxiףqzjb~OC&~2d$i_OO um1/WjzV?7?Vxn%ZF[ODGY.Kxut ~o>=Y_pU 3y^\h7>+M+Ls{WY2_gG_A~} zx}~ؾ}69ʔOf89)^TcZ: SzFlS1mhxZk3T7,hIGsxLSW7Y Kvf[@_Ai Pjy:$ ZYbzyd -8ˏ=^[PcKW_iavm)-I/-R> ɫˡ+7b>x.>63<y& _ N3[م= <8Dp{4zM;,g:Vhc_p:KNB^t`dSxJfp`,'5Hsq:mGgk'c<36 )iŠ<_jS0u& I^[u*{q@bpua-9ٔ{1-Le=gks"=`m=9Ö+yV +2 W{M~Mt 3~hPD=MKNg1!Yz\2{ӫڮ &9?4zBEr4>_vn=ps1o4:]vZcm*mvãQ8& HE;:Uڟï`rU@|_me6 v:wLkw3{_Zw \6g6#9V,^֎Ywx lu,|$$pduYy]NW/CnI7[ѫtGfJN^-tL 6]Ek<S[{}"D,o\7o=d3a~a.Tm{f*$-9gK`_1Fmr>.L+_Bs˓oC?sL88KA,2 u00ΚGKƍJ6B'2p*1rgpHT%(~@o<5|õ.tڣd&W;ZzQGpp|6jx؆^W|f`?ů./5=O{DYernw{ ?|he,`5\tq $ɵ^7P/S<=<66 3" Om_kl'?xL| V%2rK}V3֯Ia8 %_|=6NYn~=8^C0ץr·f#U=YW9W@ah<;{$%sV~-=d?muQidNStzGZ~^WbX/0ӄӇ9zpbt)~7E;nmϞ҇1.7CBPpi][S>j,vNCvI| &%g@YG%/x{O}ڼ?^r/8e7a=`1T5Dkf9<^[!YZ1NC0f#ND2-ۉ"K_ 턮5'`rt0A`$UFl`-iS̻W)31_ gx=WӁS̚W(ؒpe,ISd7ClYնct~iG2A 16꺀=. '/ IN񬂓OOX7fΠKhn伒9Á^ (P˾ 뚁 H/G)N_7B~< G^ҡm/NyLþ2 HjɿAn^f6Etl +섌n'=38O@8fÀƓ%6$j[G`).(痵gL-ut Í>W1:}ܮBhL:Py,5^|cN}5k|Y[:x j5!)-+Y~oۄ3^=î$ct::>hb+ o3| Ѧ/+N[EQw  'GU@kl]0t~ϣl0XBGx}g`+̺okWe(>f/59~o[m7%Tß?tUfd:ゃ߳sc|;m@Myeuݛj$i]x+Z.WxP?i)m\}/b1`yd2EŭZķMHVJ4W[vWJxkq QI/_[.)xOڱZ>b@xTk3PQ^m1AW+CN/cb;9Xvp>x(@YM|Y<kj8IpNp:<YmaZa-Nd )QuSK8T0&xu:qmuuܩ.g70Ԧx.@ͦ_ gAϏC<:=muϾTI_94!~.1#VpIr N6P 3qƋ9lWcv.QtYԹADk #-7[/ l3 WAO?t:r xo&3"tY%쭠oC%j-t8ӌ]g_ l3[d,5u_6:u2^ !Z3';ڠ/'xzum xW}*OkSk\C~jG;iޡ{@FඑA&}-/82χ^3LΆڊ1o2dkm`V] w*c{AX~#= wS'lм sWʹv%66[Ǘ+fEz^s)Gg5'+`Gqw5Qu𪯮/V[%{/Q,`do5QAÓ:*'>uqЩlN&~__>MCv1Nsɷm`=nvo.Q~ ǫx}sbVM@70Bl,ev1 &ƫNpx|I*  k΋ޙ| Ftd}}A!}ު2}B1caGO֡[_W[]}w{-|.6gt1wŴ%Z6'VIJo\ ͨzDRXrm}wHKh2 u&>oyg:6Oċ 7mv7ENjbV_GxRbɄNQ^_!J'#lEk^#ݷ:k}8cygo& I>ڋJA|xo'A4p-1ar55r'.]޽׿7o2Hb =j?\?,;^?|CvDw؇`L˙Q 1WtE_HSjK"J#j0`j.R@2퐼;BkI\E|>Smn]/p'.f M ƫjѲ`9a?0}u$;g f4H9n iC:,}hWV;H.=OjYzF0Kl;M:β2Ж:$^wg6䧻he7ə"vXHB|ᥤ5R.`B;镡kK!ki3pK5bRl-'^h+c M  ooxXgJ,I(7ɄNE|:MHcQ9ӲOÃ}71ϰM n.R=M`3zvtVh-6QsBv$`E6Mh_WM|SLPm``>8ZWCpZ=tI#/' vV8O˙&i?.{Ȟ T6}3\8 tJζj[uE;+[yBgzDX`y DAoM-m%uD2~I2+[{ڰF. WL&:fiDRE, 7 fKGͱnzzvXwteu a hdaz{<.}!%9St?Vn,ua9ht4E? pڛB)hS| T v*FuZ0^tozJ zFc; ~x^@6^m?ڤ34t4ZWCI@{|lҡtSԟN+$2_дIXcVy-}Бؽo;EoAQXK]pd\3zx;Vx_q//???J'zP6:CTY2V^j*MOl^+iw>|qWN+btc4>VHx+CqBM?~j?'o6DfW⟕O'/N~h\/M#cPnSPFvO_8D.9p5# TS1'GlӥB 3+'@*{F鳁%v3Yél E@і^>']$:J!a<.8p[Ux͎dIzGλf6c7e-$s5K:oƈ9S96:uL 9N7م'Ei'7\Ʋ+ j6PQx2yډfc~+Hl>s]xGFD~:L**#}%-7B`WԸSUgYkhě@,Cʧ*-?`N׬캺':n4{f'(TaEؒ0A u`oU7|Gyt q=: 6p1_[tv!"jEGL`m:W;uڒ%vu63?po|.0_ P>7_?qjZfo#uVœC]z@jߵ=: 4<tVɂxʾZς viE۠$'WyO~Tt3#@.lnxHUz\Y ^4_נW'/Ks鲹Enp뷢{A ne7{Bt۠@{IGoqS׿=n{|k;)3Pڍ !o[}poUrm+̍[ , `)ִ16umt`ZbCJ|ShtwqrRS? Ieֆ+@Wk&@sٽnl} 5/^+6WŮv7}ˎ \n WV0-iSq:᣽aJ5jwpͭ_ߴOS45BGC<` v@&8B]\L>ɩMCj6[_+X~LJ5*<]JHiCVp:Hr81=1۠ ^:KV݊wo3Z+oiEhO58> Hiػ_j UIg~_4y:F]wGV!Oӗ XfqkMlIxpQDz$2L%'ώ:}y-ĸW}լ{4(:މ?V0n:bA8;͍O X)|WO/%O/wۼqDWK MAwv:Axqe 3 ЯO?Oȹtk{FA|P}Z 6J_)^{,]XAy<)-[|ےDŽ$1` $cjE;"o @'6rʹdh\ {F`D-Dp g޼2Xy qO眬Y{S lw-ڙ#w沄\f|leDIU)8E"{Y3<#U\^rn`"e& .plhf8)*_(5U}xx"! z ZЮ.X[A~$`5q- 񀂉/"HH$[tۘN-_69O8"D: >Bm<$;N^N*}Ln-=^$7'9iIYVx%Qvҕچ(a`UpI a\^?#&x~M>n$M+rj(SG7doe^ O!MdO(r,}dWKd)%=h &dh93gaө]QW@u:azw-Lm[R}F76ٟ_Zv|?g`\Ҿ!0bBSm1+ʓ^&k[&K/KE1J Ǽi[!`H;rWe0,^V|=fue[Z=DHU_z)4{}Q ε9Y]O[V ǽx)>-H3FemINVd ڇCKAl^m,[q`>`T{>to_dSfl3fχ-uB(?:kڍ.|OKvޒO;W_p+{bY2D)Q%:>CöEju9rڍmx a1 Ѕ.n_VU$#,`!+ROr~ӊL4taxI;Gt?E f!\heRcwt_=1p/?ӮBZ}wv}哣cWqqSUk۪H ̕f| .,%xoE?h'׼=VF21~a$BR3+i'nKng?|^ov__~lfY'\h}ۗ'?___MJ&u$r ` aݎ#jt84`l:G`Ym_NeO~U]>t< |RWkv]࢙n\%C|=pfxS|5oeX 3{Q5bPn_f@ L{LȼQ/o]~kƿW6&mj|Iҏ/p=sߒՕx;^#dؤKǏA9|oՋwLoe˜^+KN5೥;>51wUWnXVIX9!nO.ou~]<^ V|,ծl*5އ I6RwOʂ{]{MKGcoWX+7z_;ͧKpKy{t8l;8$V~-$Wْ2xAxI'{^#-nǟ~zyq]>xGQe)iă8#On P fZ6ݐ)P^eaR"3ƽ.1gw4gdcBsmV&F2Bͮ$f`@.ေ’optxsT{m5zO9Ӗ|p@2:g{.rי% + z3H1]dW=Pej pGu(V6]ہ-eh.bH9c ~]l}ލӥlS!%u+3t-sytݢrvt͒3{/{𖁅ci\44,[yHy O,}r32X@IDAT5 ̡ Z"oeL'1=KcqA>ѱvK(}C}L=8)Bp9N+;Ho=5t-Ac]{d.[_"0JS%fi߇ٻ|ruC޼ss\#=ݩnx7u|؂ [!|E/\Ȇo.s(t{ ,ȳI]NPqu>2tnr.ByP#u_ xpGU 1 坧 p4Xj+|=~f> mv؅)%k^ӪpjYpDFlnBWRW!l7 :N븎frm/Ak %b3 tk7x 2/NѼK<9$S@j a]ൗlDٍmwmzVeV:9AL~8-}y y*Qt2=~ ;B'1 |W+8:sʋG:8w-8v=7{.]ppٿÿ^>n7Z=o1l1;[;x-ήzL:d""`޴l˯x vY%9t+?~umv} nǏl%I9s/]).\ `[UNxZYQŸz?۠UO1$fM쇫tdǚO<ƃl?MJv?8~S'~Vjg6UYL}ߵ2a[|ƪWޘN(^`i||v晈1yx2?F}kXm`J\_>+ \^SJXSll4ý/CQ vMwpxYЏ~7}*N4Ly'/Ŗn }+W36ң{rGm"44bpY 49@dȤT3xـ9(45LU zķ4yAe΁$ "jJF8(ʩ5 C ܀,pҶɃ̦{=$ÔFėF@ 8eÍK1Jr&Vh@B#̵qvK3IV4sŗ$53t:ĊK9cf|TgeVe(.EM .@C8SQ-7۠{ :l9-vZ~'/>I9G`u9MAPʧ# 62- z@ƛm:qoMCog|\# g7akrHVFt%ONBG(?CZ` Jzf3<,)6tYgf|`K7xdk{_~1㑤B B{tEmtfd?ŶxsF?Avqep%]Or霠Qo(`OcmdW6S~^qB4-rxp Q (9qD\UOӈ"{O;SV_~~E<3kQ<tv Tkr`u~ee+]wp& v_|SpMkAϱ/LX݈?NV:^9̧*+Hqc.ZZ>]v|:d<Ǜ4B/qeW}V6w]Fx~0ˡN`'Nկ?no>ww~˟v="A6~?]k%q8M([)vY"2P<˽G_iAɫ2M+F4sjBqcHw6YSYr ¯~|ybVMr͜eد5b vXgFl1]_7kzqN6]&>wŞjQ]}3GHů`+ 8o[qqe"vGy|MM앃Ѱ{&$yKN0уT$Y/xl1~{9*NN_^?|R'Wחd*?1ʒ(V6ٸttgvsM8v0[6/>ڻGxa=jr巰{(=N>֞k zx>Я+*;p5WL}U7xTW7v旾HW?`og6}';wE.U nڨ,8B%%@39#cǾ!C(c8!9EG&!-ё!Z?d`xoxq>p㣷ʄe({.q2:֙Q ^%czQŚ2-_Fe|wo#`sjyϣt_;zPo7084:`56य]ÃȅZcWoGs:&OOGl\⭓T豠GȼrLZ)q8 Y~60}x- `6 << /393Dcv}|$U^Ӈ|ou]W kgkG/Ian::*hn] #c7@f/h+7oGh F: J$2GC8k4'p Βͣ}+[y6 ;_];"ï[k8uc_5ϥD;3cp ay,G ?yUf>t12d_1:Gh*V3A+d5.)^8 eӵJV*ܯvR tz2{}XIgϝv>uY+y0frp9vIF6EEca|-vG߰Sz2=]P݄/zѵVއG+?Z 2_[ks _Wŗo1߇{Ȅm P鿲W2ݧ{pǟ*l4ۦ4ؖ$`QCnQyf)J2=^>xog<dݽ]h Jt㣔+f8o;կ9S? s? MT⿋I HುzPhUytݎN~鉀[ Ӷ`:0g5=ȳ5.H˯壖T_]~_]~ӟUUF^Oڤ׿^3cn^xIuRva77[r&/3BPmzNGPt>Iimҿw_/N:|_3uق' =b 8쟍+&XL̉~{ 5`3qwsd[U[<{}rYbY~[GOᇷՓd롙lq'gJ>??|j8yȴwJl0gd˽?u["y-nSVOwSu|[ʁ &^>+^} s~dJ'Qq½t'v96sYkB9R:T ze`Ϟrאq\q"[֌O·[oVGA`9S`é:d.'Z}kt,g- |P;.{I4 3bIx۽C߳^( ɰ9̙;^L7s<lr^{&vqYE)0QjDō0+ӛozZS{n5>< 4]&xF'lYkǢ3 h6m1#U'9c|۳Dbx,`b%nѿ]T:#ڂ|$}⁄]-lo`M`3TRzpem2` S[=lE8OGU7< ~l8؃>ו5:$RM +*Ӧj؈+Kء?n+kxT~NS6M3[ŝusZ밀y^FKΤI>1]{b㯖ڿȮSkh:V(YXׯ@ lL90x\ H_"!EWMD'4Q)*W?y;}A_?'_6Y6ɄG|[8.TşVɋ-#QޗhXb>gJkAҗI@xaE}]%W o$Ϻ&xHRxVKU@q2&ȭrx#G~3H%.%4 }׃{=?Nx`z< R\0VDz)(zU e_tD0=RA~@tP7q#ðUrgϾzփ'ʘ]*;<үk?\A<*;a>͏)z7F{>JN}ĭ3azxa47{XN(_}叿aSvA@9z>-_#َܳ'!*YaxVaR%7F,2Ӿ)7OTmPhiɕ\#z1vR{AO8w}2)ԙX}.AVN:mQY`Ki#A\0)|/1TpNFX(ôx|\eo{l9|=nA *`-1Y$ŮUs } \k# JsL6Ce3SV-g (pu% @<ǐ ;oY;r~ j33`09=Z>Y ٌ/U_GFi9tHl ]Ay<òq o ux^y_< >lV({D&oa 㘳cV:q? S*=[dw: RgӸ^K5E~R" P ZoW5DJ&_6!  k'0Ʋʼʭ!HatUtv7ptOe#O'~t\Bt@`  ^w8!t?Fe  m7?Y=Bo}6P~<|@f[(|8mtX*O_t(:'j6jKQ%]|=$?eݳʓ*VK¯{{rxYw8]b U'Y1ſV6I3?'j:kln&p틎 n c%GneK~{5&$a/F>̠$hF Z8曒ه% /̱lck8՟sC!n~tl Hp/WMZY j c)}BTOf;4+0d {) vPkϯѻ+1Aݗmz^mD*{ޑԬՊfgLfZʍv5ɽ_3 g3Nh\jgr D!\ܴȏF'"AS]CsɳWIO JF$PJ3$7:Nn #{q^4po liw aAFЎ/H xAwߠ{ ͒[}8TU6Aq#B|j`wMW^_իcZ( p9sZd ~]}6>Tn@~>/} -➽}tPOGvߙv_ML6(a.|V79Q ?WKƠ:)EMTX]ʾ뗦 1/CNt)!riΤ _rn~1^4լ^{y+O-ŤiNo5O l #A(ч]!gIV@kb+~fw|o.ъŔ6:{hmj63Fڃ!zI3o7P6|1»rwoq_4<5uz>ʑ~isڹcig:|㛃}{؎6v}\~EjSQ&rNl6ӳ谀iOJ|߻n'My-Jb%@\== \E@dtk:GS0SZ;d- )i<:hrUv+ rȭ ܊׆j2D TLʝ^S".#\JzYAכt4'0ml  '0&!WjmjVXRtvUsb0<."t(~ghmB|rfs\[sME79,Qʏͮ~~˗Me>s(9(L'Z=[`e-nƗS"Ǜㅙhmۑ2E3lJw-a S{2P5ewIzd#3tn]Meqhwaw׌[ z6m{ iWHo u|̠cK0h7~)Gq0[UqwW&zt ӹm1'Nkatvt `Yhl:AvKAwqynF[OiG\ieY1GfFfVVu =ld[fnlc$iBK2aڴcΈ{kgW5$V%ÿD` lg2H^؜Y1$ }k+ur|ɪ2rbQvUʺp-Xõnk=Wc-8(C)/dHV{i .cugD<^Aݼ]AQg8|mUN ΊCa!0#A8zdIu5,?^%O[?q.wIzX%BJ?{4%_l(݈ΞX*˛4`^_mDJ0'}cە`~WUKKfŴ% m6s_rՍfNKF~ulG%7coPPɖ\ӣu3~_D^ ӟ t$[+"',Y'5{t;yuN?^k+{]$rW&\_ޮqGʰr-rH;P$y 6f2UiL*' ~\Ĝ4zV!obymsBf۟|yv3NWsu3ƛHKoZ=u{_|I{Y6\+{o cO9t8N|e %6Ext|g y5WU w3(vT]:6T.A8oW=_?a>ꕠy렇!| pUYNq ^=W ;Yl F\,ɵz Ó#va3Gpmur3s-2(Hg~ 0CNJdmZFPWp󱫏l͔8Eun6uWe}n:hɃOK <ɏ}:ض JdX3wY4U#oN?i/}1Z_ >NC\ lEL{ e׶C:0eh#.ld|#!z$xU!81moG((GF`F#8ʛeҹWbQ;'KNI|#D.!4g_xdw;-ctPY$ϮӜ 'pfM͉tgDFaѕ +xtd08%J9@hدܵkf<W ~XRNgc|sQr!N=Z"Qy[( }HNبq@t 1i9uYɁgqDg"ǻeA$H:1x)Y" vu)xǭMg-Sd8 X&?%cKA8pmBp(2ao.h7ؗ!O %p#+}ONU]Oӥ>+{$[UPtzQN&F]׺îrz77T."3)Thu>XpkEp0)kpLV`i:NOWwqG'F=P#@#=^R@vh҆nh_Y4w|CvRw S`9=fߛ,O7퍺+?jҫ]cfSj Yj|͇ $n X$'C^oI4;cy{f GNtB~vkay×u_t/ d]àD\[χ 'H+k.ǚ: +FgDt_et*"u֭B6S'Ҁ"Gx4MPj[J&7_BfĠAtotXMdvVG;!qmrDl-Nz܀LgHGG??I`o{@5rx cb<<4V+sr&Vʱ^7_͸w%nkmE>]f3写8;e7I"0:"c5f\75dj0_j# ?ٚh_c\v>* FjIxۧwkd:BP9pD2x>)1!Ok8=.]|7 |_A} ݟO` s-n+;e䏾VG{(D)vGR^lud ? 'V.Dŀ|?pVr DzvJ-qȷ@X#6ۛŢnFw$2}GS?EbXyh:'^auI CIvY$rŜ~KcoS/Vr%ް z`A/Jm+~W kMuN^fGk^X#8iۛ6zwH֜c/M^6)kLr[h&gEam=V!ɕvqbf~"I%wzvuȤ]=M4'$!z=Q̵ISKz\_x$ߙ}p"& o/~&Dp^6YS ء%G M_C{Dj}dS !.85:EO&gɞ3|ʎN1dg(mg-О.&K2JVz`nSZr:ɤVR"#ڧ|'U׏c.hmfM{y֬[7_|ӣ~g|WM]t'dcmADs4X YDyh=||ҏ\ g:o8^w*gx{+'|ם矿n3ʟ>et"ws' ؘ6xdfDOE2wKFr4VFx!DeuE`hQ"fѵe8JQVfXlgwwt0́ddIR](1y } )W;5$Gϲ\*1}SQ4{X:ْ,Ǩ<{ۆzsj#u~Ps9W!)n zGvQ%3)%1f`R~W+Dy|/5.mZWE@>`oĴK^+m;ϗgkh/:GF>ާn| A?'UK8>u C63N:dvZA~Kb t԰W>:.׫:R #p =EEpww F=v6V4F_:lyLȿsu ڼ%xCZt.aT<ץ.TH4;[ ^Y2}$tCK9l<䨫:z9m֗)4в3AzlO'>/3G<]351??WB~[ҫMĻH ݏwّw88:@au={qʰIRiW-w[%9r%Ug&GIR~v)С^08Ɂ&@lj_:bb;+CNaӻ0+:sAr~M]x]\_0z-c\"^U)8/xV\ ÚEl?no5@0.+^>&y=a_rY7SA70/?+ԕ65R2f<7p5:@'͌dob?v8CUȃ/Q@ ߱%Ȧpґd|AlIo'u|ɚIq(.ޗT  疤Ȣ' 4+P=PJvZp4Y:YqZ#1 \~ɦ\to,N<臈7JJ:*i|'G=B=4:ĺMw[E|>7Ć=l<+Mg kzk1Heꮹf+:=6/~/kd)J/ R#  <6w<~'˯{ηCBt d;n>}Owq^uj+tf8-}+vCl#'{@IDAT@1W,m2_I>/ϫ'ׇh5 qԬEf4_B=_LnToч$ F -ǹR#j J@3:[;#=&C(Ԣ9xwOIUlYZGWļ-H\QųHL1sQ(p-% AT.8Y**Nt}s/ >eE$=K^?F2XY%NyW@}QAn3pKg(xsl`204BcK~ D5 uPuEޫX*oV`F;6h%:86Ÿ uql2۩U48k XF٣.=h(VuϠDðC N/_I JEب}jX #"qx"յNUd8N o)X}H@ϖ2 0u ӀΗ[? g ED-M.!n f/;  8~Y_[{$(+_o 8EG 05j IJ؅d%b}nx~:'k{?zC`Zv+{ baogkLj hvYKQޱ1:e#ڬ hOۺ%!#lP"+v͋dHИ*5 VH.lL۠V T 5]/3Hu,IK^Ȱ$2 NrCLj|8s]c:n#7JA: <@fF5U\ )_mlA|ӨK/>[2[ WVO:|\&R4Y;-9! [%ѽ2!ߡuO`o KPTWˎ_B'x ;p~}CN_!&S:[6سI Ym,&^t2~ϔۿl~6By\| j#mO;>0*-?h䒽/ CXdc<; {T K&[ac =M!߷i50#ODGuʭVu_PVw_/O:5ʕ;Ϋ6r]g U4esZtKh Y/lpS7yrսXETǣ1eÕ~(Cukx6 PY\kõFpc&t6*jmMkãOFu6#j򰼞wg88#T쫺dT &Bjs "`Mt+ wp#g 'Vo-x6Ǯy_y[~ٯǾM?^~G4}DGm&p|٢sĜ{J;?&܎ENiWyr໪InN?oZW:?IRpε+Ya f=ԓKPKĠkeQ<#Y5FfHz0[Ǥk:«&,j^ X[ vp!j2u<99ҹbU |:ӕi@_:=.ɓꇯcO1\7΁5P#9^7ِ%ߛ]x874L[̰GJu-}:>lY/d+K;81p`uOlzx46`,~bX&HXVZX>v+euMɎml,M[ s^|ϒ-*)W&9{A]qЏŸFqf }Ĕ޶X}VLOCh;$kʝ2])8s*!ꋺ[xnӈU;#q"@A:i F(0w*G&Ǯ{k/% :NC\_,s b:/vw'8 97cbQֱpDxJq(#gnoiJK$W֠nuD$hjW@ (doucx nLŃi}OE[Q}O{Dc.NZɱnz&bv^g h?r5h`g GĭU|+3*E@B!?[tFˡhJzMkae mP ]gct^,W 7u޾ n0FA7~cЃX} }x.Օ,vD[ҳ,|%v/1aYw* <^n;^ ]m7]r&hɌl'-N">9߬p,'}B^2 _ѦE#}[z~mNWb6vbUZԦ(uw4ʫ|04šp3`/laR&>"Gk%db0J{N,/aCPksn5 YdPUq#ߧiűNqT/9uF'#VT|rqW]|귿O&isn[! фJQ[ 2&{-H^2tfjKJNgKx+qkrpճ/^S %[,[b!wKeB m. F:U34oHX$4 POvMd{-܍՜l47t7A.<0Ӗ{0u3DXJ>]mdhYb-P]w} (6h2=Z~iN$RNo}kЛWa#3І7N#dHg')-) &G~ y2ţcҷ{oר*:'8Vx Prz@΅X/i}u>|ixm0'`@N.l]q[_t!c#RHܦuOUe ߧ13Xgycq%ܞ0F+}mDC^ً>Ц gd62 a>+. FlC ^{$iSߖ]X`]gv HRW-0}WGA46@\wke0w NmW^=Nq[m{UuX-7>18G1# ~r^Wڵ@QgG]L)> n/.w An4_ntABEOqVŽ*#OA߻rU| !gv|o% x%|j;fMvl['ݪ􋩃."9y Zh ģ cD?(q?jf&7VA2׷;&,drk&'v,<0wd`x8 8cJ?j`P7`w;: O6woܝ#c٬r?߽|HC nx[r j@ 6["`l3б]h 6[]N/k)w67_nJփ+1pט|U2fL õ.rO!ÛE nx.SF'k4O|Pf HA=ԵǧMlCPHv]`@4eϖ毠ϕ傃=rUj[!0ܔR5c?DP|%}uV^=@џ+uZ}2{Işx'$||˟O/?O/>w~ Fow?ȿ|]gSx W]G_^ſʞʖP藓d/[RYD3t! # STX"b(?``[ U{A}ձ4:lԡ[6XenS"e`P#Wf6Mk2%L d] Q ZxV9U'l• 5u̯dr?d{GE[":G62F^ h?W#Li WRK"ܶ_BI=E/ \v lj~::z9?\{mQ`ϲ!3^>h/-|3I&_ҜӖB]i=nafuB7_ȠU}bF?ld 5jqnY%QI8>&?A(wJ1g7ѷ+|v)UݳxÇl<{cp۬|?^)8-~!BY4С&/:Zb3ɡzc9W2W\}vU~9"{k5'3)sOg1߬UvYUz#pчArfÛٷ#^uN1Ky.#t%z^Z4"?do{sf;Gxw>%IƇxҨŕW+{p\6\| n3̨AcCY麊"l2m*X${u}P˃)h_0H"&M!&:'ok;?+T,7%NLG_;g$5K.m g:4 ۑŵ4088apY8!0p@ djoOy,mvsGs/TLm7M5c=d`ǷD擻%]'SvI_4yvt\b]]Ev$+1zƱiI#0BPtlku-:r i8''ވ h41ƣ8B矝1[FF|?3мL:\2@,g='K>_6{pLsu+}/.?߻?B~t+hg~@??|赸_=뱃&L[hnm } !/ǽނAEM\ˏxݑ6i`ldԋ&zk 4MWtECL&~ٳ=9񄉰YaFEc NbR)G$[%Ap6iόfnû#:7Z_`Uq<&% l4/SFq}~haW6mN1vFMIw)F=lF_]ٛ2I;q#ulDѱWb [ʔQu"GKx @^]4j Gܺ AƱoH0D̾2ҺЫ`uk,O$~#8 &>Wr:6Anj{䀣R Fv'pt1v4,"óp Py} ;h7Ho4~г/{wgN?FGI:l^u<&arNt6bD$u]* 4 ovݠ] |sx1AW{VI|o:&lH:Zu:dX!Gx4jyצ;u2NVAdڑC%t` %VHIݵq+6SIO&;:hcL*.$[ \5!CGl IOz{'G~xd%uq`-Q=pio~gϗ20>2_lFRV4~r)ljA鉏-uvpgWŞk2sM~jszg7^\>meē츞7ySgc|hsh17xyAԨI F6Fip7v{8ެaXs'S~4Mن~3  Ee8l^7 ~KPlߩdM39$ 8h&yOe6WD2ɀl(})lDJ:~2 zVxnL܄I Xhz?|*u)سJX([A4O188PgX2Xh sd Y\ʐ.gE ]-,@d`{:;S`TjvJ=Ѓ8OfuXo$׽:} rIf\O9U@^e46"G{ ݣH~^W_}ʀksR0 '9x xńcQzJDgY1n0heo;6#n좺t]<Y`wE_'u4_kp' Z+p<`:t<o쩀ynw|a'_K=?c%A7:j{h2BC`.ó_ǁm3,h]2-+ & MWotofuJ$E`jjmt/4ֱ q2- h 汇t^:Z7qm6; ?hᱞ%6iynk{4QvO>|Z1Y5SՋ|+:ѓo)I]% $%FMe-X sr7'bL~7ِс[]m19=m6NÖ"*ۋK\y/?ִO\Yup" =vQ$ U2yw`v <CGFDj|Nn'%x2JZ=4:.эA?m8? uL]9D)eG#؁2 0GqL6lLL]g'²(Y@=rD @ dJoA/]?ԑ(X#;Z9'vt?eOG(qbơ0 6f|Wrt=Z2OBOJQ]2OO٬%"NKg ]3=dvVstkwO4)Ckq]jX!joGuAMoӣ[K ^t^ -gY(Qi ڬԩe4jMP~|kۃIX^9^ձ2ˌ? ~{|W*(li2@h6Zc6O*Lng^|XH)w:Y9O+-w&La{SLe:'rm"k`QU1jW-|o,ԝ hI}nVNw\MV/|D;t8V7<1޵ :ke#[U΁sR_!tb[%E\梙qB;G6c$J^ {Y5 |9b*ɰrC-bXխ{^o'7P_~ǽ~|w~^E./=M;ig?$eDVg8ܷ3w6<29i(N_[_Z$YӤݳOD_qyV*/Vzΐ>w%`8"@͖g~omwZau(>9*)5NÞ#; heN%Eh̬W=ǃoI0t3j(ٟg3 7zmcg1*02tl8N$&uuT(Gm@,xn4pQzVln+a~P@f@}2zf( N7ڒuBq#6Lѷxk֨xۙ>kOor>vcO9,2"gO3bf9Udc{SrAIGJ:Z$>Yp-1INFUvC늂5>n( %l苀 }Mzfxc阐͆TW%6`Ykdzez/\!-K3 fp!Q[k+:W>] -:AėgO _>l")pc!Z}Oym 7ĕ >+ftyUge?bVːAzd#|K8Hf5Yozr.MɎ7x?Zu|YlX#E@mֳ^6)[,#`nʮM?4Nxa(2ZRY@g` K2΅ 3}^״eqv-wyni^nZ/I4A!}ng]Cfl̤Ou+'BYp%jDԸZ,})qxF \^wv B(1&nW/Aa3LFnj mKe Llv#ͦ_ w,pn6zbΡGV(;z !Md8n䲐uSyGEf7`]SvVh0OYt |&O8v.Uv,+y&rG#Ōjl 3q ܽs$\JvML'փS:1EW9JR(y@@]3u-2ᲢVl{W䘼EmBS̎jrfKF[s&R4=& ( TDiqf$M+'~;_?(x{ſ΃ocM9sFe\2iT8O@Wq~pD2˦}͖w$V u"A@cC`yvu,9;U;Z Dzt=o;)M}TMڃ rv9dW6!/#`Ft6 ,U_l#Be@nfOЋ$yKII+Zr=.Sy;l$ $]{g_-;LeϵNMz]I^d?|6*WqOS+ZEO;x.:7}v7zx`[|` z%d1ݦ-8WX}7aM:M[Ŵ`#@fd.>8#Yܫ.z VI~8@`!HFwZmBwtIan NӖ>!;WEn:tQ-{[2ʉ&?֜5PVUce˝g}{T!SDm97.V]a$ o՟N.{qh'#,ڜ`W!~l+!S=.`8R06wml`̳B1ڒxYCZr̺ ӹVY2d(%QeߓW\`wJΦwC=?Z^C@IW{Z4١ u Gr +3A rG]]GY,| u/oqC8汞r\٧0hwnWT?6Eە:'A=`m+]_cxwtb "f&"Pv<92> xH2raq}h~jx6H6X2u9]=.Twyϩߔa]:x=q.NVAl瞶0&i)]a YuWMxG]?^~ks<`EA@ P}&WLxlvDz){>õ~ GQhndWブlxgeyow>E{Mo+=W_:< 6uYE~m/ GJ^葀6^_E?o~uXcyK`ͻ Kt2^Fc1E_e.bىWWu7*E6Hw&w^\\Fn{IIsBnQjҡSpy]:}%#HO8 Q*Ϣ7!v ct́~pj l#9 p0'.NpTo6LN3u,ft7+-Ypd'03%pKwfsbك;cH pԀqQ5vAfzA>D'tsrx1+P>ã6':S$#f YdIxbYdܢfߣ-W)OCgRDpR5t)-&+>ECūcO3@a_Q}q?eᵡg 'Y]~0mF$Ekr+C#5\*ݧXdjsl%KW3+CNVYɓOo'{ 8͐:$t?- q&4őX0CS;ask+͂hܽ Wg ᰽ETشs⟸f8ȣ'}:BȄm0yW>B 7+o%cخEGq^+s`Q1 }Ow}1ɭcshEgÏC=XɑA7\+:]5:C4G_%7aX}h&4P=: 78gDLm9@?{{0xHIf*Y1lc*Y8}K y[1x ko7aYȻ".iHg^!a1+~$Zz5autp}y'c}=_$;ՃSyk`l?q{O/٣]6^Cfx/}iceR:=m2v!Zw_G7|ƥ2WdmRve#bA;2r#}ź\g4ekg~| pT4͎|<|"|5Bp"unws6MwRxGgÀ=XXti_jK87PoQ#"!-g [~ e9#z7f]| 1\}X $|d*$G}ʹ6QS]m# {6.K.|Ayk?tw~@IDAT6[W/;/|?W/˟m]6W+H udΖ7wkR$IN {xum}{՛8~tRQ:<_/_|K;]^e4ypϨF/Wsy$hXFV=_TH`iGgs(N9 g;Y&QG3E\]B9pZgw~~X+Xvupx%IGlXyCأ %_g'k5ZSDt|4%^n1Ī" KCZ@JgnK׫FZI9$xያ5U< 0ƟsE>:F Ȁ EHhd#~AfsB׫ηNiVި:ei^f*A'!`[%Gd&akf,[`+5u{XG0d4~I>-  `g Þ9`v#@B~, ؄C%,.˓$O:Ds#x۰$v[6)>S6 FtBȂm$*;۴>:UCNglxYpyݺ:\ a|p홅U?Z7H(ߎLP&h0? $@,h X4_ )N 0\s`MsYhF iHru١UMP!jL%[JLΣUB̆oX6#!9Pl }ُʮ#PS]b*#'rKHѾ[<^K;Y07y 78fs3/ӨU. l@bq5V36}2HsڪIh^~A~&e:-ަ#;5R1Z|$4Ikd]|j[u,DN jlcӕ/9A/ymL^\8W={&-QeMl %f:%+E;/˞ #L0u7(o{*mv/]&>O5V$,-]p`/Y2ڂP7 lB6}WnZ%8*1ޡFOb,Rʒ/!^g_A[T2ھ㺙he#KealD^Ƙ#pw﵂R]j %Xpv,Wi+U9ۿՏ&"CcÔ|hYNٽks |._*Zم㢪U2d}ʑddq`.4˟s  ׾)Lr/|o Ѕ&z6}u1U8`ؗN]..|*%~6LR#PVɷmFNt\1C` XHkF/j+5E,'o> (m__._W1Z F ^c^}NÜ e߳;7F,@sx$Zg?篮_/ [op)*]L=F;'#$bJyg䤣ћ'BQ$6ۊB1P{| ( W-|^e`ĮΣor~ r,MUg1gCq)nWՈҦk ׫lqq=EcgR}ocr#¨}K`Hp[_{\wyM~gsO+D^ѓVS4IR˓>> Dx{ӟm_|W/_xoq۔N ʁlF<]u'LGDI+H +`6`}xP߶`}ӟ\g|z@ ~2/`q:#oV7g#D8~m\O+Đtz6cXvF]=b&I%SރPʗtm4 9vU }|)K7pmץlEoI'@&u8jg0wJ^vn7 /8Iä3TF~-1 WNQ5-g݉(*D>kL65N'sd2%?4CMgwvzF&˛ @V{Kb36 $ !𽎾{f>㏅ʸ:0//dɥz/$C >]F"'1`ll`_2  Vld\RB-S#G"`PKŷ46*נL (l=DLcK:P!:UF_tk%eHFdƔt:gSw?B GCnKZfvPy#SѬNZCd},>=dIG6~% (XB7IE U~\ՃjhbE>-Ι3O|x>5fl6HY`Wp $ݛ̅=\ o~Y@ Lj%4Op-vB:$l;ٝ`p$b y.Kaq{M?5:sڄB{oOlczKi%~t[ɜ^_//8wM<YnV >t{t7dZxY=ڃT ėnl} F Ht [|uur^<_tݽe 2ffi䕎C==t~4p+f1RS  m+2d ΠeG7C]6Urd%p8{ѸwTiRturx%Yu'JivDJG}g./L3eZNNCU+2;8qOxn:\0Al {&(_ձ~'5Ą9[l̈-%2!eRܽŠ1Uvy&t( e}8#᛿ܴwrhX^Nѹ2dj_]Ej])Fs{F?ѰA;ZXOzzh.?u]/ןbڵֽFUxUxL&5wU8e|:1 ^NX6Q͏1:@~G9 VXU/5=vk'o~3U/ո_G/n?6oЛhVW=zcspb;ljadTYLx.Yq~2%HwߔQA0$Dy p6W[ِdf'rtn=6Y`d&Kmu:Hγ _\nUJѹAx~[RAz> Uo/I<ˏ>MX,>l_ # ~~7ȍ7Q,|巗]^~_߸|j/X7V⛧o^702xWt&>-iw^ >]N y͚*[uz^~[Dگ?G/g^~7_o2 Wp̨I߽^t gK!x IL"$89C:; @91ljeFzX/fsiJP˖rD7_y=2&>ѠS H.IևXz M-U/o9:s:•d*!JX!ZNS?F@fs?/ECE*e ̒ 0(-Xv]d1^8%]7H̑Y9.WW@xWi. ]dOaD\_J|{X Hػ;wfĊ5NJ x3c\ά J6/%k5x5N `u21dLOA86^Aѻ ˌ Q%<V^_l l9Y wGώ$0X4kWF%L E7xwׂMOOPno҇e<1Gdp}iJ$,*au^6jiϖiT\Ƹs L- /vu[;sTQl@k"!@V‹ Сl0SYze{׹Zzѕ%)+M)^i /W;^@JBj)pYQoc.C c|҂%orǡl<ݠLec7+,>WY|8ߒxI} $vl8\գ-񑾁}ut\0z2H.l~W!*U.EGS"y[gәO{\){'4eY6.`;]שiG6gJ'u~vߦO핛]Õ t 0(| G־L9+7R@5y?ˎcɬ7߯_?Bw, W\}[,iPeYJ70C\/I킾w &ueuCk|^κm5BXt^hE*m>`YQz5k7EBvY{p.h&4Ν%Vk5X}x~זFW7*K*c4 cõ!749kp$#<|/qƕ._pYxdW->A꛵Jumh2~NGtܵM<$?8~Wj=ޠ?5>Z%jg3+]:2 ٯmb`R ]'K hvR2೻^ӟV/ZQsH\%h?,F? ^r:bŤ 0j}ʝ;+a.0~~YP&9؁;BXM\I #S~*Mщ.۟}U?{rn촣=o0o+[ݍ82C]` JTzm \o\BFwMqפYdb%*+W**=⟝矻wAcf$^Mj:`mRrJ5DZl\y||$z`h2ERG?i, ~TЪ]_fCoGt4g`N vo ާh"ϋUAÏ}tW G?<}MOK |&"?i 5fyw}?olL*LoюX.N"__&F_tp,?OGO%(53_GI=Rf8{oY~*\zo{VNyM8e{VGe Gze3<2 :EZ_}ϟpF[%^6t;8o{Xs'cBu< pAicR#≁-xuya35f: B02e<THHtT|eҮ5m3cB؝AF)Hhz :6k~SC}qؑ= bА>m8X&ɵ#u]^>dp`odu&t|~l0߅%9/ɸǷ'U_>zC RT_ %j\PEcHx'Y^IAqǏݳ+_H6݉Fp,~ RDWDR ų9 FKTiQ{Ex_ӵK4hvE'yDɷ*i~>kz6p}*Qvo(hpdݜ/8گnkWW rT᦭׆CRX6sv$ԡ\E$=ث$#V1KnvޥxvD>`;Qh{8Ps:UWNM:TIk"CFpw:]覦&}>1"' lj\j̫bL~77^̨T8+'?sջŧJ;|d?ѣN/д)ˬ?^, r8K)_ۺE4|!Cj=\d}pxPf'-o? w/%oF^jL${9M_qx).;;+ e}s*g=_,Egᰤ簧{ ~S[wy _ 8Z?er]־BչKGKݿ;m-uW>;Jen)Z<+h<9w/.7Ψwo=TN#*ݏ77ǃ@l5oLQg1Sy$q hTYq/۰ے?VrO&kKvjRԏz},xķϿ|ח_[ˌ;5ݯ=+Y^v_>l%Rii5D7=RcmHׯۘ$i=fЍؘ6Yyo$xdG}t `u瘿gv hy@q3Vje@m SAdCɻI'Y Vy,9b/KLRcҢ f Z98eqD|H8ܷyܮpW|xA] Wݾ:_JΖ #a±Bi?<z;5=rk!lGdٳI]Cǂ|&C6M;UV:

Z%)Q[gqw7FXhɛXCxH8Q|ұpNڭ\=:3[~F(=Vn- FX:xN>8re3#<&\tApVL[=Okk]wOΑ>ΏuL6z JXx}mSgVee(է9k~V0 .>|K0]0߀rZs`Q jQUWrq[Um o::_Bd;f>ހ (x~C& p鯲^v=n.(LgZ(Z+֋]>C|BWQUvI WAMv J綺%&^\OtqcpJ&~O]t*Ok~RF`<+%VG=pN0yi# b$?{*ڭ "gRKK]Sg8\dׇn(xu}l>rxùbV$fWtN/qՠ\v?G76md˫=GkZ=d3h gmol2k{GZ7x¥kdͫzˏRWc}ϣxmQ^'OO?1(~hA;}rOU eArN#˂ 'M&dm"'fܕ5[ wj,)ˆ7q>8t\ӱWːɭs3ǮquN:RA Nv,`7ݽr]D9 h\̒ ȌwV2{w֌[U(Аݐ^'=L!>ʫ OH,p2qvB푍!y yef$>3PP/ݣ?EmoxYV->ܱ=;NÜzpu: FًKb_vA k^ >wzN.2PqToOE3082}a ߍl,U_}C`脇"%]>3:goy)ؾ־N;#'1 |,]۞g%EH~bI; |_ryȇudl}=JrZˑ#~&r1Oh/y,}jĽ->}3w^is Vk /K<&k}Tm _~tm+w9 ,lʟ+aKT..xhN-k^"'#c̏[ZЋ>~,%^VJdP)1p@^ӗ$x\?Ǒ#>mWR .jکƀ&O&OM4ipDX#ݎ6 t6mx-ɺ]#ٽ-u88w9Í跂 v ?9&O+p%fʇ!(?ͦ<:toj.Ё'Zov ġSN?qowO&lv^fz7>zr?m?{ipZ+'MǷ$ҒkaU>ѯ]j3GNs'dn0?V38<<:2 &A+~+WׅS$\ODIn^VנbDޚ-捷P!+Oyp29U!<^#5,mtNb%xƮx=X& H%ŝlY)_zi6oUof ! p͉ggq}6꾘O]\^XDRi?L]8ŷ:t+0dk7^mOVȻO!f,X%6:x"?"swWc^;LpηX9si؋灷ծ@]hg'I~6@=#g7߆$4" eɆ_wXきK-+7}{se|:beqO6So$zo+%~/h_gD@Ϫ{vKbl>?=&M^OR*;'l //_^7%W(;˖cA,^3-vov31Yy mǿ[R 59FB mwZ_78Z/(OuT>l?b4u%ǝR*Z`̻˅v YRH+$}0Gaߖtt<"kz4lyNT38Əa}rYr8H}~f.O.XgwЏNgN= \VrJvt@DyLF49 72xk{y޳san`*ɻ6(ԑdL8xR/:9Ɲٷd8m'P 8| N{emi35z3ls#Ή&'l/uʒQ%<Q}SDsI F: чÝlrx >ud'фfyK{e_هw%;hȆ ෙ2[v~6<' tȠӗT;ݫ:xgO^^u4|:դ>ۡ-( /_\H,R}} #L(9zoȷJ.We U5{U(ly) %(l4VT־2ѻ}l%W[\:ɳXWOlv)̧Oqt3x=o6Iw=*UaS%Kf-LUtj˒X>f+ŷFn}3Dd~`*Ug1ނCNrDYCFn6{wHUCvx#U8< nwydŜ_=>,q*^`3M!?z5-f'6{̨j8KxYa,oW{O4Fiw_}%?x[>pgm8OʇÏLogo0Ij1_}jVOX]c9dţ%?^ %N7,H0c=c&#HR4o]7Fo㕋w\z4 (AM\9p6=. %9kbvM.~_wy?,:m\^]{Jyw{ф`Ko7_pX*+aqYlz*9-&Kfވ!vAcom?-(&#>1[II)Q_,TQc6Xp]`2+I7M&yKz|W_O<GG_xo\=oo#g\q_&nzۥbti7 F m$wYf+[=T≽!{ڌ6yw~\o*` Y9e@ie &eKܵ#;u:@8Hĺ2u甽B0T];#/` Yh \qP.aVxƈ9gO˒l!@Snv* XhA%Iω9 d c|7:N #Aoar+ƀO] *C9E :grߠ!# tB^܉ B"nUo+Qjś*Npn*k S`Xg%:v{mp@ѼA% ,{_bN/.\ ̈.8.뎇B3^oۉ54jyg8x1. @vC'q6{ aX9f?g{?y=-S 4$-^GhщY{3gmZfxj6!Jtk͂5V<*(, X=:_y|қp k :>C6x)A̼<ݘm} A@rϖ{JYtO }lGƟxnU'rǩdK9YtMGKg%Nyzuzl$Z#֑mru}c *)Ԡmfyls`) wWEQ{ACHV,6H}YBGW^э|KqW;lZQ98?,7a3KfAn:iA<~ ,} z=6^/!xjv[@{f]#/zV7+9{V)QYdr5z5NDoR׈/'xJw@^D~\K{nAf6I"֎'-`wIblfϟ@[K&HaxpK|rm>'ǦKcG}TQ|^%\2:Xd|)@<\;tX;uSfZ>u-8*ڈdܒ ʍ!<>_168ڵ`鰞AꕕM$碒U%oU*l?˳/~u1[}Ә~&a.`<yTDaE/a5}$d!nV q-ѽ_Bwzn|]4|悒Oc%! }uy^w~r͗_GCsqQ) SmչNS>%,(N֌]0ѫ/B3F29M4wbk.kݦ^13R&$`Y$3 ozpyb6Ɍx/4,$egړ%F Eַ+`pEӵiKnWuX͊ Zᖩ! Ve7#of7n% dfPz(dGF:3Ϻgw1g̜m<;Ol+roJ@X =ǝ1+%\lOlb<3Xg 5Cy^'F$%\+n`fI N)X[^ v&oy=Ǜ}TɀC) +^R-YfI5u`cٲd=DjIQB_/0ռvUB[:ߵ޵;=__?.U`02ʖcV7x]G̶R!*s^Z(<ЭT"*{i3vi'tbqM z[U?0{fnkIU␾m^a UxT؅.>Crݩ;ߋ4ØDfsu%i1g|2MU_C3GxnK^5?@}AN'C8]g* >gT A 3 [gl}Fo5Nz\r]{4 ê%GSPַ(\%A]ǿ~'yy1GcK6(݋o.*ɺͤē?j%@$$n0˯ƶV$ӁpJ'<Ͽ 5K55$m;nL"Wد8'_{w L$׻v>L2yےϟ%^5׿o~}K|Y`t҄6#hz >f/>`e}|sJy97 8dZtur5"Á(h`%I:{ ifg9HϧERwR6Lbml]G_3ۙ4#lbXYu[.~ E(dMUJqTټ%bGѧ$oc` iWqS8Ͳ0ѝbQ [{v]A` Y ^J|9> h!vWwY.%CtT 4JZ.1Pmӻ)}]fc,oJ'0Z>Qo$$:[k߲9cF_\WY9i?q~]xGU␁f t2dw16*EP4͑i=gM<3Anf'_ ^H?wQ-#I2|Kmk ^{&GFM2[gZ'N_/Paf5'P8: ME}3]@52d_^2;vj3jOu5 dh撀_{'zʵW(8?$*f~#8Nj &ڱDUvR6Q K;r54t~6tVu<Ɇ^-tVl !@PAn;Am 7{٫=|ݺ-;lN$ tx?̄_MӮ{4 3}ћGO$>4G6k:]59vx݂ߓgN٨ĝV89 ,>ulɬfOoՉ`'ȼ8<ՋGc7)ծ 0᮶qxF~[7aTozM合af ;?8cX@m:OMW7 D7;G6k4d1tV*:?:=4VNlr\Z>mdm͉EV7xKZlNw>B O=yg@dqm>,h0 :.&q}Ą1%e)\Yp  x UZxgV3ys h5|;eMī~p>8h6vpO yWb>Ҡtw< QizUN2ݮncC|oB:8d __BCI}ůuLm6_4?g/ٟaW}W{^Yq*}@-Jӣ)tlBkE$?G~W׎׳545x }ԞWr<8rk>7x,OW̔#y2pIB&b`雀\Jfo昡?ʖNqACOWUhP5_uŎ[h1m|س3%35ap{xuU W^?%s>R:iljSEV ٍH^/Htଖ{4ic5DWg1~Nq~=g/._{k ?~ˇ?E.5 &cAŜZ1?pT4?:|߽nO! )HHnŗ̴מBf"dƶDS2KUޤp6-}޳: .6}2#N:fMי'@ɬY {^. }wL7UΑyAuT-LYl B#弚[`I'ΜGb_O~ I'U"Cts:gd' <7v2ub&p9+ 0;S6*JQ*\@Z}}>>&e32\+^(*w2;ʝW3@W;M#|لL_<DgIkh^Zwpՙr| ;2`ZJ,qVH.T@֒HtpG6\>vUIQ?AӍ[C,Kni}d.kz@򳸰wg{HJz;u'4Cpצ@+XV\8txc@0챎, >ĠwAFXOzpS0gDX4ayJGG`jm[}KItw: TBv (dHJI=dAPI>~$_<nq$,ŝvY OS.^i`~$k[ʭχ #*=XwZ`ff^AR'> x{*a:pV4zg+V=N%]d6zOD#m{'#m`&۱ﾨg| Z{UyU7 (g_[P={U_w&`9vcYD@?<~`=d*k5Ll=~xUA*L vk.)z. fJ}(7 GV =E=ek n554wgmV_6M1,`o_ȗnǑzWbKqb sh`[1]吰q՟GKۭ>xvռʉ4os3V=W=t Яn d0/[{dYxn?Qs9)_;=}ȪJ3fcJ1\Nם+ဏtfel !7I*ҵ &vdkP_!׎C6}<:@!dR-/2ю7fŷJ'aaUm!HV$ģcxJT73YA`[>L7O/}#FnJ-UN{;^mJo}wy,ǜ:>hڼ~>͊CHJ$N"Ʈu *fbmdZّHua|GgW??,j`ƭC cJ5]IW+r0aDWWY8f0 ̾LR)PjnЃz<8rBTgdՋ6 -KKlYNOmm{T)\!neؼeeѴWUnP7MS`sP|K3S&r(&^xt<<; #.g`xαnzCMME kt8Fr5COk*d+(u\>BmgdVv6ۿd@ }dH@2=اÜDJeu!舓b߂r~Y0eTV ?+ԜwC|mF$e:%E|Gǜd<3{{N j2I@?q5 5v:v8>5lX[8'"]NL5OA_*9?0>fwwZ]q |QČg}:-@AS/3 2SpO%񈁑P*3@f OWϾfq`É~2+|/:(A_g`~1ҩ{N|ξWF2ό :O3pJ1X5fws[: 9P%nl7^INfEzO&s{ijwHKwҝrW5xL™9^[/Ae>uɇ5܆O9q +fNq;D?X`@Xa зxݮ}~Z8}}jǂ : %C"-E`8*UK0A@mi[#%OOMT!S4 ko~7pT'(W03YťaLпU.d2~to+ j!>eSD_Eʯ%1ɠ_ՄI&-A%mR~ےm[l~7(Sx %2kF9J4L/X?\3ϾuIw$mW#M QgJe}tevb9ٰdFStiS$dәq7Ɖl>pliW+|(^'xt^?w@Ԇ&LkC4o[ 1yZqt oWniqe #:V7 EF?ܳ+յ%O]>2{mBx"DΣÊK~S^y'M&gãdͅOMC &G|$?mͽNOrtWidZ_mc]rӟ5$z8ןWn{_Ͼ+}+Jh Υ&Qw[o}!^.`k~qd#V"]o~}}'/.9%Ai8k1gc$UbrB m 9P4SMɠP6{{zCS/$p,"cfʚzߒ^hBDgbpB['oKI҈pȱTx zxǕ|֠]g[:( x|X5* ׫*DII%PnP̤R­ 3{-D:g-K{ k <(N1JˆNhFF# V7ʎcgH; pږ69$oxgo 7^3>_HP {\Tt7 88Fɒ>x}_N^O6t mC6W} v݀Ȕdt&}'GAJ}58l8,@ >2߀FG}i+w+:Co8joY5,xIِAcߥ.zXzXK>ߖ?ulu!\9 h1]9tz4u]pZZ/O}$C*"{AKĀn1dewNt|?SMZ+xJ=>VR$}hU~*aWADb_w>U5|F7/&cJ:#aŵ!^T.~i` bI,V6Sd9=_'mO$3gwd6M9W6זtfJ,{6/gWѦf/F_hh@]W]1BݯM#񑌻eIS 3^wymӦVu>cj w̜YEu#͋=(է,ԎhwNvٴ^ӁQ]m3_On(MOjI+$9^yDK!}O.>9ݾ:?UFN3'vz5J*|Qu7?4OmWDbЫ_ zNṉR҈<-O5|>{u՛> .J4UAYk]ОLH3(śSgq*Ђ Yt? V qD;mu{|+_mϰ64XYYiL>|ۂ/.?/<9C<@읏;53!ΊS#a %$03lA3@@F$#"L?8ʩCe AVwsRbWmE1;πcSA"%8t#J02igSYflZ‚ӊlD3"QtFOxӁSs] Sj X).gn#9g7'?+(0Ƞrw;xxˡۆ=Ѱ^9Glk d&W +p)e~ EiUuh .9^ڪ%" +ڏ-%d ǂ eUܳc1$xuGy`0Gus 9v.}&VLLA|@O/kzaɱУ!4{ hhI2xs2ηtOwp^Ec  j x=u'B:Q@އѥc׹*^YwjBgm8 .&W *$`ޣݗQڽJ flnL?T*ru3<ʰmGPzM{w 겍{% )| NKzFgf Fjl|F ٲzmtp1cq}>̑ۡVN)޵-EʾG1ϧE'?>lԓk3K٦7NFak¦ݓ3χE(zi~x[b'kW7*OJeG|Ju8̳ ӗj93O|ySީ ח%T 'Rħf@{c/^c!fCA|@-|jmJ6#<҄Ђ4>BCfe exxH^ B0µ`ЄMnϖ5|fv#?m.WV Ut8h>kA}M @2-Yhu 6^,^BVzWWpEnZ#ek:W>vR2lͫWTW&A,CT%cb4wZЏ>ұ*(^W[t2:v*#!_E_﹯]L tʊcV*+ZV;ItHF>}igzkr;thXh0ac@ qpMUG9G6#MM7:B*J psG_Q|&7mnd_߾,Z<Bv֗CKENlF',>ˏ32Z['+cq{jg鼫W64uU%O4=|^89ze: ;ׅ} *kfYͷ D&y\267$Ą-&6{gCK=S`PuQ~^c>45;ZCg*{k G:I@t!.>G5+(zF 6+#Y+ɢяBG Wm}Yl}&"*/E Sc' xdUrR}#8 W֜5b}bڟ O^[Ab3+Zw% $Y7_5_e X ٧v??xCLMz"^nrw/ȧřtս%强|I 5vzޭZ9^_vws䄨9N*qwUT`|@7 R9Rw,&^Y 1)]إRMy╫D@4.R;+8eS(ёfA$Hf]sHS@Cm1UfuftHPh-y ns[Ȋ9fs#;L&#>B>p0PW9$rP,= ѿ'ePk<Ϫbd uʫlP!:fvmW^{.N8iwp Wə*:MF`u\9-ϑ6g:u5Gԝ^[٤4,^G?aŅ^*[71XS`,fu)ȟh-:w/qL jduN#Zח~OF/H4`bg6mx?[2.:ɶI'r6qӞP(y fӮL'v` 2>ޜ^ܭto !O6A^^^ T`^UFCƧ9된WפQL\wߝ/]g HhV1矵])=˽p{5>b`oTʦst"2}!ɑܧL!:?Xn6)үd_.cWMiÌ~l[Dx#ygvce39%_yd=VߵO0Ptkޥ'tV 7ǝB(690n Fl蘁]w{.0H 4K[: iA-l{.}.ps<9[N[WI}lzɭ*꿶|Kk):ǎ<3?8Lq'gY8,C?Kw?xoRծ.G9vJ;vcvAI>5~#e/Sw{Ec~~jQ_M̮bf4[j$L`P  T|e$wxur]>Қy..`( aM6#{AA-#eY}?W;-Rv4s3`֯7X+KzGͬ~\\q=y3Ϛed֌u͎;~T'AnUS>iW[;T,tںUdE/uHVaD X̴N O1닅 -Axmg_w&vwk΄|m!>'{pN73y9:;դ!C?8雿%P^|6ؒjk{moK̇b}-AO^I#7ypKd+N v=9MjŇǽZloh2اqO@k0OȻ社8"x-P&1$<"2yZ `Ax>/< /_}F%|^~x?w"`7+=V= uGBAI/F|}غ:'>Eqc%|Gpo#]>˿7 蕆M<~y/~*ct3U^Qܵ:p8`$)zB2݁R20T $,U~ƑvVQSH;^&`$o:RF}zncǖɡP@0KO|—PKm ܌;Hs<c 1Ct{'zᔎqTcI 0*N&TtDޜN~d.XQu0 j.q_ǖ+^O>9mj, 6)YyV;aч<FigAuΈmgw%u0F |$A;;zmtݻ>O?:WB e9^Q?˞*TxEYnϖG֞]AןkHĎmnSy*߀edđqaZt"48Zր#V@wHX&rUGb*یt[ ܅܀*<ѩnf;DAAc|Kle{CdJ7 \{͓0IOY(hBiH)E7h2",gF2j ̯L*K|nWz9mV٪ M5>rk/#c>7g|xN 1?|eM:|n{U"d#Cϓ5^.)Z%0n4k:{$ RG\?, !]Ϗ-j#f%؁:8~<~ԪH:}YڟZ*nca,8 Blf:#VP-9%Btw?T򡉼+'a!ܒʓsm|=O*]膕G|_ևjx؈f:N+سk`ѿ2[ uં?5aڷ/gm FGH%WU\f|Cӎv-6Sl|;L+:闎;&/wMfc*zl7 `G݁]ʔx,y7^O!Z٘whKеH^KfRʌ+]qS2uv~XqdThLص~j~Sw@mhW&fX AR,ۣ 5ig9{#tu`Jl-駣Z:cErӽ;e4pE9)^J3lEi=Fm0[|`2Z ;bdfr!?-5K&1!݉"gEģ7L{ӿx$0+՗_ǯG?.6r{ =jCMG"@^Rq^t''mpśŌxŽSϘ;_m{c?xt/ŗ_~FZfl C$A4G[ Rdc. yGI؅e:+cvu3$#xp)3&L qr(9T7 >q2A>o,6(n y- +X0<`' 8mV&;f ?{ F dK 8X[*nԲB }*׳clap({~mp>h[i۴u3h Hhp_M2t]}]VaTFg%Pq%?gxlD bel7P..(z˷2inuqrIf`' ^}`.цkzl#h!F[@KCar,2%VgE8@p&#v7%kWf{0y ?g[=/?w-5E>#bu'+㾲vo~-^4^tH_@ \xйU qu$=Qey4uKttUfCf#Co[P'''=}AU7ٛ z8C9PDpMt; 0?m(%Ջ9~@Jq:_>ث~W4hW f2`釵.]wyt[ZK67ը  =:@ps tYێ>C_٬K<}ߡM3QQA1\ѡ;/?2mGFZffl |*XnvC`]ť߮k[CiV~_@6;F.x"]l7 |<4 F2pg30Z 0vz}S8kOɏfe/ Ё`{{|k&0WM]?)%fL:-lu䧕DG_~m}o};^%{w>'v5CfPHvg8}uո`XuoIM{81A<{*Ke_X~er9 3focṬpE B0%pQ=VUW\fc s6ɅɠVTk6Kk _Œ7Rh<8.w&׼4 />rU&O>ᇽGӒm|w%>{TOzp~͘ ‡O']-.u t"93r\ݿ_sϴ6CcM 7՛} McJ1\:`5m?K{|(o~zI6?%~z\*'>>E_?C[~9RN_czoK)0 لu>kuH݁Mρw{yV?g'wp~ص C6uf |R @"DCwn !dovvvw/&\5N±#cM# 5ap&N]oķr ScO[g/kgvtWܐBW8 o{Nӽ *Hl# ]|KJN`l/Oze3Ym.]HWj4ڊKjc ܳYOjf0Z <4Ҡ(6`6rL-×Je L(>uhS^mHy6ʐ;D}:"E'O0n0(2 Ҥ-B+l䲠GR^x_膣# |1xݭ{K[7ҟ|Al.fؐxu ]̼x2?l/x^VO,=8~+wfҮFgx@K*\yHNf5?T'_ l/Ȩʧ(5w e//W4Х)|ϕas7BvL+cs"a QnκK _9W%]g0$@ 88rװ>13CӋ9d޿'/!pBW8T ;]~\lVض׸znBA~l|ty}m+ƚR8;֞ގsVWWν #S"$m|Gv(գ?8vr6&}x`v6yT|ΑnM{a_}ƻ)Ka9s4}o.]V3Ɨ"F_G|ދd )Nv]x{:ߵyk {YT_ ND 1C/'Js1Z?tvVӯ*7܃__ͱ,~}>#|FUmck}' <| ''}pYz=ʊW+ W XaBmX6{U;xm_bS4f t^.D'ymh??h}2gi5M.<9n뗿Kl] Wo/]g=|?ѿ/6{SC_XL,=&vQ9|⚷emd4[{#%o]o9 ,=S3Hl`\0>>P^K^~|v[=52fQͳ9`,j|(-@#I' "C:^$\k t;`Eg4/oy͆eā~ėdKFm4x5#˜ |U+E\#0BHS/g,\|ngK\ =o9yFZMUH\+1+G<~$<|;Frx h gޣ3vOL aB~yʑV#n Ms؞"Y&s";>KC~'EXJ^ۜ6@+\6H±mp*k<{`ëqTCOxgل4p@ħm3v'[;_׈5jf%|t,Leŷ^g9HxR=g4滇x0Zd#~>N깽j/[&c(_~ne_>h\#v]$八o?}ys9q&c# 8OuZi1j+{Z92ڝ63{w|u}H0Qb12' Dy3Y&Ɩ +׉!8M>{wSGt8X['6C< š4$IɸD~pֆ^$O}.n" 3=ߗI]ʂ<}Ma|򃯊0AptU2~> Zq*Y#&.,f+I\ ՄOAb}&sZgZٯxtysy~>l'ck;^Ԯ' ;g5+تxmi,'3Qܠ|m {,8_x0߶ӽ*lאMVĽ{ފ˟Ambˇ=~lS#GWGJ,17z߮+Ę%ė2q}0*#N}[h 7s?M7 -5x}v-vg"fYH!@Pi"Ar 2z'|pfnaF3 cojѣt~H>[RyfF>FgJ!K`/_ճ5U䫆0Na6"1؈: U0?N[5d.#&GǑѿerU>AM]xG}[*Spe/Vgl<(lM.GP?,{_17Do4|uuC{3^#9+ 7@#4PY"f [uLчgѓ5l`Pr60}E/㺓> asVwj(esn5%pkr5Y Z*P@5{=ݕ+5ݦx *?{%%.6F؀N6 9:Jk00󾵋k#>\b &WzתlP{?-1iG k;s]\í~tt9a2k|B6}m5&69ouqj*A#eb($ ;X\3XX2)ϯ&SV{p8uN,PUsici yoX}=1ng|hX! 7^-kS$a%"fs=׆]p Y>!Ŧ{FxorF I<&Og`DqUYy8?D_+{Ԡ\ j=h^6}n3b=Z 4E l)`A6ϔ0؅[i3??kצ NU܊(8t%U^'r¢5]x'} ̵5v)t q#AN7%9:;^aFX}0-^CpĉC_̯1.zp҂ov } J[,;4t o~3'/ 0Xz'{pwpBѬMUM׋Wh lQyx~xekGOhȕf˷|a׋w:{V5q3X\إsF]:lx,_^7U(?~QӁ ]=SF:1{^n;}$ ~6Kl0[Hͦ Z>Gl@8_@|yalbs08,?vC zGO?q+~__dq rXY/xZk=+W\%)ћ` ?}IcRޮ_ǫ.OWlaB^M˾tvʂ 5|&1 ,g&"Trz)th .V )nS~?~߁io]v5QnW߱29AhBwM78T{x^ ?N{>ûSG~ ķh[|q'Yloڠu K28~I*qW//>z2o2_FL-WX-:6~%w޿s>_c!|WcU:3f z{|l.&ުwxk)u8mJs}JxX aDʑ~P.p:iFI=ʨP!yZfRѺήbO`JK=Т#i0tK)ՍAf0պ.C؜>/%#i DjNmAb,^oqFQ01C(ږ'3-{xq[J"-g3Frȧ˞)x&pY ;ZZ@'?_ Vef `9DQ;9[яc5b zj@{˽S/tӰg5wsC gDZ#z飊*2sgK($K!?2`[%,^F{{Qtώ?}6\6ؙy{%xOo3!W>o!w3!Tݲ8?ts};>S6A^25vmuDm̛VL q|d5bb4 JSR$h`kq~y  4- Ouo+nէݣh.lJ/CG*u'm>];Ceuۂ΃6{乕%"&Œv*ӹSNq3̈Ə.&5f|(Ye7WM"Bh4W_[::?ҜP'4yrx|ө/ؽ]|g: 6 qg+>LFтTOfw Q0vU<|#yWTlL%az@D xE;.tճv_Pn|R,Lw#x ; $1K`\qDp1f8WH^g\r[{v}y|~d0Xcp/G@؊ '(.$|)BmϷͼ~_]ccѫ5Otg6~q6~i[NA#_ f:Ngi^ ݮDd*1-o؋Ӧ7a`r\ץ4^m#fy+ ʙ$z9G=B>J7|Mt+ǧo 3[6bԚ^*@Dr$t G[xa QjsMu]t~ӬwxĽm X-/}Tq_}5xޫmE\{ƍp?q9֬Ozӄs}lT.żx)\Ӽ}6qV/~;_>;\ >1ڹo|Cuo)Gr᷽m!Om#YuJ_^?U{tԟM6V Lkַ YtN$|g9h=C !: b6"H?gD/61|s~}]!1At FkHK3$Φ[1ҔMQ뜣HSuTcSltEpMQ L  =0܀Tz ^p4wׯ|rru3 LQ)Mf$ꉟCuXU)Q TNnfl~N)h1iﴹ(:Iƀ)u ȓB4 nf45 RwD%/ n&bԈ/J7{?7 P{g@!dr#`u,ЪS֨;&H|Tz-Rgga~lNVxZ}ԑ"S4ky=s:[Rܞmߵ-句~;?rT (/iHyr6@ 9- {"p+Bn 쁏 .+FspXw#ʂ;" 0Vu},ux+q&,[UN9F#ѿt٣|d#CnY-S]FK{=;Nſ!Hg37oг+=f(NU2J݀CegZݪ&>Fɥ~̞k:d:h/!򟘫ާW,TBSR,z򨍺>zldnϑOz:-ʾU׉Q-^t>:r߇ dOw<03(C 7PV:~;~a<$';hemtgD_[W{;;OadueR>8l,ɕЇ7_t>${co^lQs^"L]- }>iZvk8l!aھ&ܳєګ<4h-* ڵ+fz{R6#n+sa⾠[}A{STjIo~m2yq?d'*NӃ`Zg<_lN;X}n3nމGu&*\e?^}Jԧ/~؊@퐃L60_:v <P/۾[}N^lyv+B?._5'^>n7#` F[6Q Sm D_u&ykD(@x1.OOU;~M?+z f~J/󷗧m7jef3ou|ye:u uA8udt<YB޸b^5i_ .p? <8 %k -5/ [.EEaH~'g{|n^g;/00B쨚P {k.X`vopd(yupz^#:Te<ѻ/ =Bk7G׺3}*_yiুYG',tt8YM>鋺mآecFco6W4:x6p166љcP 9lܱ*8|AEH\!WF;Us :|ݍ-Q3S|Wr2i ǒVhQMKN_s8-+5&<?5R^ YuUڲ}F-#=oʎTh^spA~ީyHO|%?_8,A~vyvb&x[>!-bq O4{6 v 6z 7UX6`.^ vGEљ4 Q7}Th$3Prh3謘^q:;S*@g0vyxKJ~%0)㸣MR7$:u}wH1|ȝ&Ws2 06Tzjpڭ;8n* G*^WnxXdb+E&"G@2cx W|#;*ƪpqP+ѵYhKt+woTF[O r.'TvjݽdL W{|U%'Ńk[ګV>68S>UÖ#+4n9>Me/|l€8J-X%3x8W_8,qy2/)-<:;nP~C&Fe4v pH43ȭx2|{lO>|ɇ.?|}mo~yЏ3t 'GWZ:N9˵Lqz++*ֵh'Y㟟?Srݐ9O|g4X!f*N?Ń[} ZɄ+^_OP@ js =߹*[-C`~( `ӗU}0%:?*8ΊI4H{fjS;}i^<=uǏmru[Bnb{{`lw7u.MjmO_i/( ?'Sӈgn0B_`&}O8x~yI'G}damóˠwfOo~._?ٿW˯~ep|߮OfN+ΌYaF@j0JQ_4$m̫յI@Q[~!ʨR`ak1k :upn7FEG&Fő[጖/0s~)%NiJ¾ &=A  }#UTfW#:MҔ2Z,C_9oЁ&Xҕy7ZV.rsB%/_VQTf>jI|N?ɭ? wZ:x.8aT2(zK~Z`{!gxjËN y}6`QdXcJw^<3jKN_ɡ"8&Smh҅O 4'qޡaV2%f26g mOpJ8LӇ{j:_WW΀[4g4_|vYK-x-iT]D@l\?u0Ggi/ .~L9o 6ClT,(KeOIFc53(M3Ϭ53< 5~au&].W;@~rAC.~.kxP[jbz:@m%0*QO\ o:cImJԝ"db\)Ծ\ z\N@`%ݲt-՟T;Y{5Dn>(C!9[I;fcn(ae=O, ʥx ܬck L=X렯fAvipcs]+1wf  <'ƗV5SgH^@ P"JJިVJT~krmQ',֟f/BW؍LeN*jɇфfCྃϕrb<}Pٍ:O.}nז=swW5{U5f_bL|9w|Y8C@9k:Sf`[\?m΃tMΎRg3u>HxUbKr[eJMZٌVԬ-.MNOuN0v5.gO߹t|y պuk\Q#\3L+iO91{.kCZM]щ7n#h2ܫS\zX|̫d-!~=n?zܧ菮?<|اM0l08o^Y;GZlW|Q)Ų|Ծ2ouM4AW/UmpJ;ɝf~sl(&oK錈1]=gG^[o/|_ug y|/.˗m0_"oe!9*Y!\ Jo$YȝQ 4S:Ĕ7 ,:jXUcVF=S71tQ9ńͰ%р"k8|t9uΠF pSyn,V#t1tƐ^ 2di;2$O>p8?2饀$0l@sc,lLv *W3!mQ#),b_"Q}ΒYx-gbg:b6t骊|Y|CBNlӢ)`|Kɯq>S^φ5(Q0;{kW9qݮ]̡:?{ؤ2([T2+R/F̖GGO8U8SVtaENjI5TIFHl4Fqia|#<[3d^qo97l6&'@meJ(F.8y?1b:S8c!$QIG?ٝ|$o bVrsި}ݧn!2܎ϙL|yx0\9tG~GQùABPU=` &`s7ۤ+h v::59c,%|\R>`^u+tY:sn. 5=o7p~|~Qb>| ;̖ᚯ׽jrW{3щk5UiV-%|o:KHWO@ % /YUB ߡ4Anܡt{bzZFot`O±=YlTEڏ3& $R\w 8 7b\4 ouY[bv4=[ps8$n+ BLuMi|/2kP̆uzfhX}6TwGɜ뭷jb6Kjg/kO{5e˝9ĄOUW? 1:S!'wx6sxpU7{vM^tjWI0r7'֨܏:-7!^twl_qjuN|y d@ݻhϷt/~,?uf}Uznm}Z{y>gȴd6$«5bv5v+`MF?(+&x,dx\fde[n4yG ɿ=8f^WLxLRFmj}&Yi +kO-';cDt 0`8:ց׋}ʃ!nLZDm.ŏ?5J>ocI :[mWzA~~__ ٟ~R_]oF9{hNlABl-!_&BР !zMc3iѻc:Ui :+ɫ nbVtԡ/VQ8owHZ,Pcؖ&,?.t[,:),^c'8dsp68Si)Q~ Xɰ >l$ B'Exep] Ie=s=)[(tU*N0N0&BYʓ6A<4F6B#W}{Я U>bѨڎLYyx: S=Mi;t%=,7,rdWF^^) T{QE S <dY>vY 0@؆Rê8:QE8n`ة\23Ӫ!M Sum۸LqUzɋk2L'hئ[ x:IAZ#YUO1{ eȰ<\@C#V^f znv_'Ysɣ{COU*txD;4Qx;t@Йfӽ}zWP 0X.^A5V,x}NC %"]]:Vi\uQUgG2<e|Y@ȕg*ul6M/К>gWۏ.X'V k|? V )%+l2~VбOfN!1>d_{k>B dZ9n7@*<a$'뾊o?g:XF>jtL=N'/<d}\uOql y NS\gBuyh:M:=KNVױ'M6 =c)u|6ZL׉hص*8CJ{ ?W;:61$ n%3$guDR5ڿӅlO(Z;9ˋ\mDnz"0'zz>N<#7 <t'Q:ekcimϴQKс5FЧNmO#\GJ}{Oшm7HveK[iW7_q84fj@tfG*!x%cx^Z%ƻI҃ uy$]y^͠Y}ݣśZƮH=<`Qnmk*oevoeѝ& ȓJ:|@A&S٣3%qdQJNx^{,B7ѻ=tA4N+R؟> |:mg`|njȕ=_E_8.?wM:~чͺtyQ;7Ú7=^*f_:]tshi,>My%pxxEw1 k6K]}"~Մ>py4 l(~IQIܞ^'x`>ɧ?k5{HoMz9K/dr΀t8շKHsߐccZb/_J<&ӶUGpr4]_x3AWZ.xY0jGyh[O h ('C)%+ڈO{S92u+}qFF*;ss<)(R@AZM_(_5%2~YFe и`4+|N#tu pRHp 8'[=?@IDATP:_[K $ef1#:)AJuv/<h (?' 0qKs N}]ps_>K.g09*tk7Pdb0hɡ^k=<ޝ/L#l,Gݰߣ joNwSz >:X/=>CvǃQmvEt wjPY8 ح1J|\88W|:V;C68L:FL4Gnz.ՔtV~k0509īa >kG lœ:y*VpS3O,V>9Ͱduwu8 :Xx 솞)DDJʕg= ֤~ϽK .z^(S'tWʞs9rU0o{b:y!3C>mmLO7Ж˓/Ƃt ߆Lo󉕙._K~_zN;"L;wz&uxk:zx /~9<*( h7ռ y?b:4zNzL-_ 84fPlms&8ʂyb]m f}lfPZ yFϧ}~ݷX'mcttZwi1ᰐWa%}6p6rA2k>1jк8>*+E/m|x(M4 8_8rq~}I+V:]8"[nO;Vkr}|MOu&4u<O{~VlbO&lQQ}G6{^4o͆O.OgfѤ~Ov{6𥝷Xm~l644.xEVj≶WlP^~W˿j [ddb,n}V7zmK>Y /7 p0YmAdnqHyL27-1a|a_!n5k@ڛ`x }B\.|c{/?!(vk:O N=)vh[E}NI^S#0,<ߴ]~/#;xR`6I{) 7&QUY0,qǂR7tBلyH)2Mf$t aPwc,`hiN,ՁQ5hX"ؚpA?l<VRԄFs3x_~U&֝ SRm@ λiN꒨aPO`UЉ#ՃpT|#{5E6Ѷ*a&! `ݪ-RDNfظrz=8oꍔo㹲ly~^oxd0aTidI!qƮGxyG5y <ƗtMtR`W@hh-6)7wtlw::Щ‡I ujry-"z3 t0٭)~We퐎>(EsuKA(X!:̗rf؝ltq`켆 %`O̱ Gn@"ɵ=C?!m1N| _W?+;LfW8 pQZ'_zX^/Q: x5AuCY_;t\πC%^R*Wˮ%}B(ڡ>/||rеy묭ޣx~4W< l=KR=X$7`SCo~6$ zpqe,Ikvf0{S]  u>xg|]G:d+ґ}ޓ˧~to/WU *3}8z3+R!=)=Ccg=.C'#~&:甾XYYο".[gI!Ya0!?c7{_=іM)C ?>4ݽV"nsܣ.4sn'Dmcw ?q9Lsp zX=l遘Ⴧ{ Mb5fgd 6^~/] WgϨ{;|*h2rF7dϞJgoO/OO(~j*|JqmC.AEqj!ǍkӰB_Af֒-` .Xp]i0x`iñ!N8B99R"[n? 햟P k## TfuNFDOwh_ &}4ߕ y 㿮:Xq|CEStVo3 pwHoK.^gVҘJtfsu8%ƮF#5|5] j34:e~^椼+34ۤ%7#kghʋ7 tױ%#YC8t*ǎ( Z|f u6ZF:{J!p[ {v%)w?Tɛ˻ 7E8pp|ވZ|6]=w"sحniw7i|'ey~T`b}mpV@H60fiSbUU5t`xtƒ Ijcd#y ,R蠗 $d;hMx>2.X0 .D@v/!\g&kXm&t8o*ť :Jbn\p_OP]-K6&k2Bb=REw)衫 "#\*-w C̕>ܻC6hʭp9FLpR; _qfנW?IF_֡6Fa2@5xֽzӽ{]S{ZBşꤏ|d|8M|G l½ӳpǓȋWҫ\}:/0^`#F-\ZVMJ$^T-#lm* w'3m%S[]qt|=ocѷVEVhj(+="kTZ6xMƱ3&X߃kf"&{<=~y2=љ|M_!YW֦Ǯ:[tّ9-%{A^Ei]|?7?UN@o&$|pt"h]Ј'COM|e\*rD<,^Wgl)z_u=,d[yV +VAv'ܴ7-. WQYUhUZ1?k2U,*&c?|է)lo<{myfmPחZ"~/\;Ҋj>x]JA_<{VV˜ G'4Ҕ+2|L.,;Z#YӑtLĈO }x>hþ6 9w['αU>'[ݡ]o3D*6m|o(Wr|M-[.^N~k{㏾CϪcHr$|ުO?g31KLH:7v^KtX%INfwE[gqs&a; >B6zIF^2Z»ju`Sl  8/Á1#fȧ{Sa vt ѩ3a:kѱTS<ÓQl]#E^]Jֹ@  FƻG vP 3cSL;ХQhvʚ3]R 5D . W LgiۘdDftgl肊ƖUih!q M P;6Qaoث` . OY|*l[S.1 HC?_g6.pϭvm;L+yns;e"z䨞`F|memTwaU<:g\+_O?=/A/=11'PݙXeXO NNmߪM}u}?/=EU6{@ },^>զd+K'Y&Y&Cr~7O_5nTg"ҪBʗWjE36Ň:R_-n~!#nmIh^#lo/ƓѦ(6{羚Vx tmΫ_}͸|V|' JR MAt>˫>9({mP˟ZI+j5绂M84zv+˧, =G|_pp e |4_Ogtl>Rcɛ Fm/FМ\]9 xgpg/{]^im>c|r"ƤxD/:'M/v>/81Sqq { TEʊ|8'U9?PQ i FF_zUߏ%Fwt4>晉d3\1;;s||i6{C_OAH>#b1k\t 2fwn߃Wx<;$Ip6*˜%cncr^e=CBPSf?0x +ezEVkt,)'CG9fOfYdcg#PCc3xC:Mu{/$Xnf嬚~Oѽ >/FxNJ*1Td8q=S)FZ@=zo5l"٨F6&֌u$g"*4=N`iT-[o:?f#vdEr G=f0(ڎ=AF-c>槦7q^CRy@Ds~;m^6^4D#l[J5KKVyZwi\ ^Kޤ5-2~Y;W2@OAFjico^PL0~~+HGt)G7Cu)k+/64c;֟ʵ`˻A#6~{kSȏC=~ފHpktA=}1z ͳgE%nxd:M>F iy4k;ᱼd# 9It^IuiLJlAx&>S:$,WK]pfok Ԟ՟p_ WȧsW>MVv˥9H= ʕr,H6.'Xeӗ<:٘{KWg9'töv J?K?z ~: S;|y=sm*U\V?^ ū3h{)jQ0 X%94V>FEOvP_y?Bs~`C ={}Ǧp@4[4y;6~+ސx{|?eҽqL; GjU Ǐ^~g݅ʭ[f}R%Xr:+ ~‡c * OiEJ+/=Az r)^@GcǞ$\>1Ngcpu)݇)-YfǻCܤNe.}[ ^nw)wҗ[²vul2\6if?.pAT9ٔ gUT ^ ۅyI~*b /aN镉>N?pv:;7}UjKMևTo}q^<*w.~Vk?곂?<}mbyyоP[GA8kë4tĽxU:ݗ_&/z٢hKmeLhOxnMqe+lntFZ/WB1Zy`ʴTdm$15X}zl) pgVN3:-WQpp)^ 8w:gӀ<sUH4]u` `ӕ.IOzxYЅA(aHȭ*qޓE pQWKW|ƈ!\!'gi υx!}MRpP/3:szdҏnr6L‘#Ӏ6LO^걄 m:lUcDt.4M׎O6Qcݫ%w7J80#snރv?2#zc(8ץOvӓ'x0YǻF#.N:>NRY:Lg;To?x WvU^=7n{608,,'Vk4tdvo"*`՚I=t,_x6Su$8oOFiSkXC `&`7iM;|kV=Zjy|߫MbuTj|ه/6_i?Qe[wtɑ繀B (:)$/48Ùn6TA9葙λ̌cL$L<_"q7|>tήw/&wsWPwy]ZnqQ snWqlIɏhy^DZ~V6M8x-$=^ؠXxKF}(~v_}P0A7#%}iA?kw=M d断a t28+OLz!O1YLBer%˾ucWq߆ 8e[^oŤ םȄYɶx +oHMo`7?0ϽQ]#?u;^u6)s픈DeU{6ƟKOoF>-?S AlGOֳWUq@.b1daǕ],jsDc{;$۞@ɤR]9EA_FasZ2lyUr&'U㣿B1%ݚk7'Mۊ{b!=!YGkG, 3>fFiH *]mUҵ6JNUi5(}Nc:dؤ%`a+딣a X8B%HL4vMֆ$ -+{hU O%LfD/L"liiF^qב`G'(IViM#m^[_$H _n+c5Aw96W)nvI3>V}l;gtE3m:Vٟwak0RːJ#rKWב{p݃tvP U; QcP'piľ7ν_ag4ePEW>:AGǎ|m W7h͖2 A GՖY,ʧ+,u|Ѽ@2D+n{XQ[s)d&(.Hӳ ᷕ'$U|)hrJp_/ /{߇z7V=dwl'FH0-V?!'<[(ƮUOMyi^cb ԇ ~`;:ilO΋ES 퇟%DzXa;GksaԬ>Mؙqېsx/ ` 4{w_I%N^-\䑮@tǶd6(YJz5?nkV=zPMZt,u;n8/"&& EwPn&?h~ɫzF!ѷB1#l, u1xa섯?@ywf7N,*yĶ:&ƖdMHpQ#F_n_ vM_*ݤhGwwBBx\`/7 pMyhV5V"fCT7F OF&gp \߀~ny+r0hF|߸~LU11 hNJsu=}F;޾Zx3l0OߑXfRbZ~10#=1&:TPhywx|VZ_.g Қ' `00kR]$Jv߼.NlUm*A[\]WLakV F]Ze-k FտǏ?~j+A"B`=-jm1S}1bclR)gc(9ڙIM#\ep۾I@W5 Lb LO=8(xZeIJ V߽snsUYMv9":o|L{u޷urmXמ}W y};~"ʧ 3lr"^ e<ɇڄا,C,|:C&~N6_*@;mןˉ#itScw[m ]D$?MP{sY}^?nI0)``NqW)3Dմ,,YY[ȆB}߇??2BMݜLcF"mpH-0-/o$cs[E|8)17^Tuঐ DCJua f)7m[krKZko06aEjAc*# ]Xx 6mۊ^yi~[ʎʣ$;ؒ٭+TpL~ݣ3Y;9ӝ V3RɂݙX]jZ'3SyV.1Xc Wu/L_DO =m"ՂDOm ,~vDufuP=}d`TS=]#&|tՅɜr?DvhCXQ5l=،;%V0W/21%t5v0Tm+dc vHق z7iqAt{c5y> ۵vfRF5²) aZ?ڶQ%Q^ r6}2 hxa {9ڭ0gtɆ6G~yůyx;qC&A6IH+CiJף{:a#]_"ڏ=zgvztdW{GpUkhola%V\bPsr>*3x#<~'`bĹn0Nt,m_7ʎaw@; @W1&]og}@lxgH%Sz(H&y̟Μwal,'@o*A^S0jg+!Ml{ B~&'D{GO1D}Eŵ_ ǒ·Ѡrv!&i\.Wh~?=`MZ@,a_.Nb'mO\`$yFITAދ a֫#|~Q"p@mN5vѧi.p*W +c..r|yh}튝bJN= .ą.oZ֭\ZO'2t*\\ɨx׫nomЊakۀɖo;pҎɮi?'cMJ;`1֢Ԓ`:.oB>ѱRuYra|ة޵RgEC^6>h5fͤ$77Z ceBvhf`}H/G7z?|nxՂ|ω9| 6&zMD`'CD#|ĭLe"S]GDm߇V}z1lЮn1%m0?{|=X[N7iwWlSVu'8vA +8F 3 nk# ~XBiök[푹epu]vMo uYgɾX]V0B_D.]t3ҟO&ɤO{hHa+/􅾯,ǏQ=y8Y^~C ߸ nEɅ޵n|Ʉ4nhSBuRLHP~X="W ŎM&sA,wWe >'q; E!%$k0`kg(๶uMNt *]3$, llvG,+:/KHk\ÈNrSvfl@(B~ԯtK(pPh1"M,Mq|qۭUz_&6 !'勩d I%d #Qz1K]w$p+՛ {x* KVˮ)IG/Qh?8V`j1Ӯ? [,g぀Lf+qh)Hmj;EJO>?pv4 C.Urnp&'>}> Y}dS鰊5HBw;_vVrŋkW-KpoꯒdkxMWXfsU;9Q@IDATv/m磇 nLpHFn+)o̺>.cȂdu S7J1'З5񗀶pcm .Hi}ax}70([4~GgVl[_ A3`;F;;O8 &Aw?Mlbr=眸ҷ9muHb6# 7 `'GmZmo% )${q$% .FX2=fpʺOkK _9(Ga@{@pf!]k[)ܛ1IO{h+l>3?|!X!0 ' ^OJKa[P@W9mvl-bQ~\mHTkk"ΫOaW-#e8y5!S]錠V)[GTkJ-y])V'<HA_57afz(,C]=v*<GoASRb N `S| Ap,Y6%[j'T};I>:Db'pn4 辤ڋmH'+=Cl!>?&SɄKF$$1^ };X|l80V%bxȐN0SWԑVJ9Yjĩ)iY;+isbFme'_ׁw-氥ѩ jC> o@/U&.$d~#䞖=Gmìٵ}C.S'%^g{֢ Þ0^%9>'p|6(>b&}>WkIL}k-i;oƶ|t&p81ZFf/ŏb%/Qql~&Qp7c%L bR wae࡚~o`Gx L$>j.c$ZyӾFG}&h~;\tIαOpFdVYJ9l|08؏Nl{'*wBoAd(iF_ul;/Aʠ7 '@6ѱo9|i0jPo5 nEM4M7Ys(*N1yoN!w4\A:¡϶.Y]ݪNɨrqimGݻrc,V&pˀs{_*א8oËUgaY!9U:O?-ޢO^]Ajl?70AD:!,u|oᴸ+q6I-vFѣ^*xYCGX"4P]A'LVQQtzeۉqqJ!$j,+wU1(H vlmǟK;_KSHc~/N3YNf7H]~|Fj~8~GgdƮ%?"xdTu1Wj sq=[V7:vyl"dfw[PL_6ٗ7ͼ|.^/@_ٳ1)Ϸ3!T~ =KAp1MIjgh@-׀ {UIc=|"}(z|tdCɈ_c{&,WVU]$ OFxu[`tR̔K(]^nb,tF< H0=6qk})I#+] L &"(w?LWFvurî]i%Y׹ xfpd`Vsҩ4AHe'h35}GARTƾ'UwxQd7d?p:LE7:D>OySi "-y: WL1UPiR <1ϸ F2U%)ɊU 2zK~t-:Vv=:(Zq-W݊}p2@VeI-czڻ't ÑPMujl1݄m沒#&p;Sng{YIu; 8t>8+_2=)u1yW =lʹ$e%vإ8~o3>|^R:~6X9`p&/fC|o^o5h`zwGOk$}>S%>6 $][=犓-#Tn?/~ /&^78>:g!A;f3?aNV7}lzEM%#~.A ;|y2~MU^WE_9Fr| iU̷J)s𴏫pY`vq67=tLt>QKD&+=f|rp46owaL>;:[O9(ic><u4mh{*w㠍Ăcs;+z vsίF} X?XVtudDr'z pM4%fѶ0d2 ;>{)u>rTd;K6X23i;׊#U)o-n*^/n<>7ܸބ/ ;՛&3|o=k /`N\J &k,xDtx gw[йk&dQrt-`vm—ҩe#+/D>Oe-{]UY@-ǃxyض2_b{=ND8_%PB"@ Đ (yt挖P}z̃l d\p52$x9I'u('E$4Hr}\UGW&5a3vFڮFF(ll&@\T㩺)KFU%@wIܢ%oVfFjM7W<&t=Y)੃b,{5EI,5\:m{^_fl3 'i>s f#/";^F79cvуm4Q9_%>(i39&Fx<ƝiO3VȖ 8oVwVJ#`HxVos@ɠ=&Ow;X4 J|6]x1l_>IVXtP|[`:Րfz҉n=cLo: m SM V`Wl0Rx,ЃYlDAÊ~5 V;XBP&W[rI}&FApn73.ÑuX2g9 ~>o,LC,W-l(갻M٩$X%Une!_=ms;N+3LV#:Ԏ&>I|3FdѓMw?y:o8v $-^Cɺg80[|, #h :yWѹkvv>!f gZZ`a˝go@OF[etMpC_ MOI۠Gk-n;zs1m#/EHsmyN#2vZ.]>]N lP u_: ;gGbnt4tQ ?-O"d_ktK"pKs6"*p7D$@Yz/@8R G?@pO._N/Г4#|%q$OqJhN4#)xCevp(^%-N/1lu+NXh1/;;og/!ܘM,M4ރ߲wYTqRQrdS?Ë?ܻȫC/틗G)T.js;]hmMxI@]N2@C x|"$7w R{g9:9& ςxsmNک@]sKJ\,?;]ų ݹ`GLmaYqm5k1!%vF 虾]G0cOЮiwoo/G|a~%>@ءGAX9Y\ګcTQ&?ROM$gx],mIvO\2o&e݋︺4ȶ{d&ېJ]ع>ELH[|XaSonQzFc֏cN4| KdrjYw{7eu;{_Ƣ.njǯ0јk?%FܭዯgUoB<_wfPOu)y!m`9ЇФ(׊=kjU7ї.ԫvptmF+_ N[De 73=Z3`zYo j s4{Ef>hQ % .B;Ptgw@ pj\6qY UŎJJm6q< ct`֎Uudio@1.-h3 ։B3ڞtC|9J2 `fy ]%j'#Т|9HY]O>FC~V]aWt.>8Z?|tK78O(OB~!%$Gxso>EN< H:ɮ4\ I`Yt}AEi SLu*C;{+nluaٳ;f5~v W`=Ub<. .pH++4'c?6iߚfH0ڽ!MV- R;jO|LxBt{ɻvϝ1O[]]g~ aX|&{eL!9M;8 &ESC_(>1ۀH6~:b7O<5v~D 6{\NWCI&7^Vet{tqnUѽJoutc|^= ^Gl,&LSꖛGw@tm(Mːb%{|NU[Y.&'v!?og/|v˸ b)c 1? 9>Uۡ=`OnsgO]x> O- Zpd{; Cw>eR=.mͰj2J#*)%VDj=8Dr5Sg@)*7<ۜ|&S7k2E0yAu ^=CG(a6O_I1kY(XdX%coXWsMV0Mrc| @sG5E_1r9_qJ^ K t_pĘk{fՑ*۬[EVtWlR!f gqJ0m׉~4bId0lq_~s .x+7[b}[}qb|CKOklڽt -ܐ}Nk@Rɶ:h:İFahEF'N~똬"m5xg [d{`!f䤫rb*\ dזQyAA8lkb`JNW7COZ6!mUMU[hMGlWIne)|&? m!ߖX.\z:Ya/ڵn*lԑmn)ʤ5YY~Eter muЩ;шOv|2Mhdo҅Z8=C=&N-~hQ2}&]DS2I&`ob4z%Űg?^ <}I8 K`'|#I|>} u#_LGD<տZ80ǒIVg6Q5ʵs ++KD1ѾxctK}eO'3}U/I:}&*|խ/^c@L Z}'|Ș bL)P 'skXr`qr99 gP"'~:`g~ySǽ$ďW>vDpַ}z?/~C`9}eo&\g/I윣g}zٳ~pO@c B~ J4<:w-[g앳4ű)r=w?pr|:x/5;X~}vӥ~zy#nPA(?*Wkb};ocٷɝ},x;ȆBWgD[|Mh<4c<xMZjGOo 3IEI>rűh՟dzziAnlbraAT_`lu Wɔ=>Aozjd D2Y>YKraC\^Xj9if[RV0!VԓhnKRu >c9A~./:p> >Z;~gEediPg0>Ze chr 9=_5bkx&BOO\lO&~axt9oߵ[1A`,_|z* SYu, $߳0t✧VN +b! בj:<'׊ix0qGM kG(|,׈ -hL*T:Nn|2qh~e'o/V&]+FW%63aeu>@Wux9wR1djqc{nr@W*dN>SH&bE'3@Y~j3p%N=v1l*h>g?$lJ<٩oxCC\iE[or]֛&2~?woL C]`}Z% liUwF.+K"]b_+ϙчo1enxWoz<ؗ*Uu~~#_![z-V\WRňdIv 1 9d+hRSO}j?;cw?n)4, XNĕ/7){ޫgS1~Sw.m0\b!]@g-rLzϻˊLtyf|*^~{uиOs2N6: 4lZnIU U IC?zA []D0 ,Bfi\L~nmYxpmP%AsSlƩ F;)m{ MZT٘*9 {BeljW:7Qcu]S]+eR '%2o4HiCGH cXC.V[F1 vKi(}ڃmm>C\ $Q~t ^XI 1d__ӹ6CеXLMDN$E*yǤIPt MR Mт==Qbu_}^L^F6۽U\N~?o`:JGgFH&ᛨH~d>ג?9^/e xR&qx]E|x1}kv|o5`kߢ'ƾLmYA%'ʇ"~lE_g_`py{OjWܢ[7ȱCaDgvԧ y^ǁzgӦ`]mU]bYڕs h'rbex2`3."%PP>oZ0h˛y?ğ-ɽ$79rv٤<Z03 ffUJ,#^7a<[b))y-X]1Tt~ٓCFZ^;"3xNzȚ ^g^~M~˳%U=`}]0irҟ첛/bW&ۢ]ۖ?{f7£i7q*η b_puJxbh+ 7z^igh6 1g"E0b]$$F\8dK/s?YJ+x1.- l$N7DjV|-&c}쐗C2ݖF[:_\x6캶Df(. >=&=}ɘtgQu E _JB`I@bFgВfٝA NkPbRfFTl'AtdM3N/un126: Vg `{'e(heQ >8@ EK ]!``)s ipə)r 0Ջڡh^(Φٞz[hII ZuqJW<|(]\Dv *ebI&ɠ3t3EL HNK+AlexvFCAƌ,.!O^ O([j,G4ԭ$rvAK#hR ́TU'w*LH>>~u&([)dN\LEv$?>0&6Q''y8!Uz:^I`l6GbTOpRm s[08K@`N~97{ ˟_E=&8긛e96 n' pW*,4(li<=D;OyˋL; $~`c[?~D-<`ƭ Kd+ćEN|A.\6)dkl&x,ZDp<+β'6 ǒ%fx^n瞣woҔt`$႒ 8X?PTHN.f¯/$|P<+K#fՏ?tǮ訒~O,*%Y'>\ Y> {&' U[):'M_:}O%K,'?'3w—.vt ?~ >dhǣܵL12*J[K``Jh8 t|]-O'tZa;*+MlGZk|{qb0~u2'ޗSav*'ŔڑcRuRUU7XsLIo }ӿ&?6P]ocD:Y?Ln7 ^9 uuFYr`גA[woO9;:#&>'V @6@Þ??Nƫt16@{2ۺ7Kn7-B>W>L|a|_7g_z\Hr'HoJ]B5{+gTgy*nu_Q~hhs`ۡX;0𹧺g'_}"&9N6IAقXoQ&|#p$dlvx8}z[+-WVuy`z11h%D!<7 ;IhD'GY ivŇKS_%%M& ϟ[ z@L7O/׿ˋ׽umNϸ̧_;o&_˅=̳~_l.\>cp!swknK\,g['79OnԧŨJg #/H m^#W} 8\vXX糊 ,/n?lHRJN/܊;f ڹPt:hpî[![}L,uͰp:9Ru6C'AӒhܽuDS*p"EWVؚ*gn7` ԥFI}bLe# I* VʴuMuV llǓ] ܻթc1fP[?-^ I:PtPcl9QL %4Y2p fSL2M\F ZX=Xǿ+4(v:^wƨp= bf_~F3e0S—/WLЉCWtaa߿{8ц+V{p}詋_ ݀+)_vN[{3l+W"[|8?V+4@lCY| ٧7ӽO6ڎ͞O%n`6e wa?< &S:(󺭂 b4vE _2q"dkr K*k_>mo-DӛX0|V~tͩ$h<}MFԁچb\**vt>p2@uj7TgKԯyV_"|n:qDIJ[J+g[}Cɑ|2FC [evHh&˭nP-[ayUאˮTgc08vQf򳒴yPPmEL HUJЕ0up6&9yI`}.bgGfJxk4//n,apᠭ>Yrd[;Xp.I?V?k#PZw 166Խbd!&/)dAPٗܭ,}z7F dN]*+:Xxst=?xܭTǁo}sn9>t\ 5JR& Uh^_ Y˃ׯr$zח7ڷӥZjN}~s{>{~WlxaVQmliDxL@WO6`.覆؀ O-諝XNo_?wrŊ b?虇[l; $/^OR :p#̀7NEqcnq 3< ^Y}ox_^1bvXvBM_U)Do"|EkrŐ`_Uх1 YL 6G ^ w!]bhUW -tWi[꼊޴Cf[ n'W$ޑr!<C jt=m:%­xGqK|G{gu6m6Q]1D?l⡚]-[6j. |b"n: ^qq25cAA/EW<5Zm~eS 0Gv]ldO{/_m?xs.\~g*?x RN5\ıvb 77ÅRL{2x[yǨXBC&ܡ/gsP~PJ!)D@Yh@5sTa3ЬHlF 1PK.I`[ed)J)r%{@2u$B ]:R Uӎ#:oB퉑pR xko@E+j\]t!UlwkeTt%p㵀Reס][ 4h[5!Ap!rF`g:!c[&T~jܤDQ8(D\ s'&.yO~B>D' ?gJͣ&?dG}6t/um Le'$wm|U§xؗK+s)k[ o?3t!җD셠R殏&_%K=V;W_Z[_Y`ϕpv5PȦb@[諍8|G;yLMte8Y8~U=gk&߄s$BvI@⻶ my4G]:x3z֪`6Epk>cfӷߵ+_ 9[zDtƘ<ߥ14Wv U{#B}D XI`[W} 5Ppvc6tI\DȸO~eR3y\ݾF?WV4%^Q11YlW᩽TONY~]vw]ՀE|>-_dvF̹պ <Ҁ%٭خ`:s[ܹ L Uݜlt^ǟ{PNtw4jV7_z.U:9?h@3K6(zvLk [ -WU=&A G. H &?*`>0ug㣖"7|j`V,덮PoU} ҶP 0(e $mr߼y/ %ɛߝ=:Y`F؄{f7[@GY`3C@f3CD:^U]7ME h<&Vl/yTmb'*DbdE=dOϋO!V~E Y)vU6zHٝzukes}+ k![7@6sϯu_gx >>d`#`[ >&>n] KJ%sr:ถG3~z$?g!!M7T\_g3|]A߄Hd #gQ.xl8*+x>#'L"3zl`>dqj8|1r*zL6mrF6fQqs7|]SeaZdA#/4?Nig7WpQ`%4 㜌>1qHxa W Ӂk;Ax\Bq}fHP6ƩT=tQrN)nA]:v<+Zw~Sulۆxn`V]Qf yyB6 ]Gdd}d6G?)|hE_g!/%!_ӻmx3ǵ7uǚ/0Bm'9-%z~ !|y;}ǧ; {=e0 yA8_;F1%~1.c͞v>`ur_,H3yW?Q2Vq8;5\~&o0E>n*1R w⾃aQ:nh]򯟿4W_}nA-_I&r̂}tKmkW>1Jݤxh|?!'ʍµc#|z)/$lVGZ\QE&߾}[^O ~OKGܬ5p/dt%pt slք5%#GGV$нe=*,NuنVx욘k^\mgDsmg;yb𕨭36>@|@A=QROAZQӽ-.ej4]/h{:>\m:ln/1#uVvigğ@gϭ(3i6VFdm팈=vu+Slza:HLh7 ~/CdOOQ'Uw&=얭GXsEL 4|(jkJf1M=VT}aMmU=jX&#>}WTyK :0F8!|l$m>įěnR%UD*fE8D:ubx>?$7Q |: ޙ˟~n'u[Ėy>] aU0$iI4obL5I+>G٧ ;S,Ҷ8iiolHeh'rL6[;0`Dbdb;pp*zmi2ڈl`rs.|,n2켼->i}n@qcs܁YDobSY.N߰0y8&\V;}x{DŽMq?^w_IzI~c<縉,w$}xя~xqjV|k㻸񎃝\֏U׫a/;(`Iڋ%DoYՉ`mɊ2Ia;'/<dYc`%6Oc:=Eo?<Tሧn?!LMp.U g_ \ܛDZ'P>`z?yu)7־>h ph^m}ބ8&*?yDWs 15gV؛%'8ޛ#XB_Zr  1S gX z`6偐}7UR9kŇev̯y|u ~nGdCV~ڢaD 3+I>{@\Pk#8ώ7pQ %!0IXckHO]l/5擛>0ڀd8ۭ_~Pe݃]?g".!zA9)Y-ܠ@2=,GMVdzVL_![2b3-; X'fT}Hv¡C1H"uڱ +V~N=qm+,`¬FzUnvulhg'K4W؋pl'|&j"V0 ^@sߒC`0X<M5#}x@El+>MUf;+~O2pf *VlGx;g V6}[0άj2]MHwYhW8fKc2vc'Xĩ rCl^ )6%)c ꋭ"FjзgW(`&uWގ$&9|+%`$e[b ڲex}cCw hft8\%1o(=s59ȈI"x# g'kvŅpiw%pĊ!F,G`#-6?hOWEWYm=kݢN/[;|Pi8!&AMcٺ+j,BlH Hz6*U_??h-U,f[NҨfDwm&v)0-(c7]m3SqmdГy&zEŀ{G[_Oԯ`eճ):39Ϥؗ|=lB/ &l! |Av7z[ ~m;??a~7SlO7?MpK#bqV]ox} mи,zWA~~kڢަM2-,Xx`V=gU޾np#9 J ,~8gFQ)\D|h9ZzvTۑmGP `ng3t58cZ% ѱ ޓwuhUNVl )2æGo1G y|gx%YAe>_H^4fO0Pg{U܌_<hDyv1ؗpc_=(23ժd8ɘN= U@ ņv@iz2ւSrza%{ޝήvƂw'(jv#]^–ҟ-,NV= jt]x^b~=P.Mhz*&/cON&/  N(:=f0LxvcWHvK(~oB2B&|gkȘ!POb }'p^EU9D޺~cПb2㱏G_"&Tƾtb6;̷q]'AQǎŖȦٰt>C g5@8ol=#rf!6#p^>b{]xǃd<@^J" zT\L%Gwutۡ-8׿ .Q4^Gw' mo4ro!|}\201"&IL}_` : og(dP=8Șp] (=8痧Hv|&Y79oGE6Xxo.BȆ$[ʟp8@XG}ma}pZwli4߀ËH>D۞`nm9ʼn ӆm sX6uק{ȫPx 13kR8Eն,҃=G{sN'{7h~ǒq[Zlի /HvW/|$C|opQ}]ie|}d;7ż>%%5c,@ 12e!'8 #^2d$)Nǖ]#`,w๖O3bWPLPlm0eSj`Fbp]Fƪ^]mW?(NŜN-!\CvoUp} R5+RtDq~MGrqS&ul!IN9RC V6"GU/]V|nlJIČ9IUi[/ L{iEprT L&L~y)9fYh:|Fy>qMj\'Ȗ ΀C{Ph͇J&K۾ӓIIE6Qעό'Z;ryuYL@_{LV B}L9Ԕ4ֳS`୿ڂ9^Wҋ $hզ˫+M.|F db8$]C$` 0qϐ#?8T|ف,ƪDE_|b:{!~U>Q'ѥ]p~atIMx)%$2aт/x>v@T6Lh,K_L&ᔛ{5GFcr*CFf/ڹ7TJ1I>CTf^]BTcrTolM,< b86k(eǛQ Ǒ& ;ߠ;vdÆꈮ÷صkKWyt Z3|2-ˮ}d(96n Ġ= «6o#/n;Uy0#sGnNBEу׵'jHЕ6nU[:\hӢn#ϗ4/|3Mm7[|/B( j8FbnJ_Þ{?Gk99!+h¥t($Ѯnb?ex8Pѣqu6/#_(?5$& x,.=~Ȁ_Gvv;vOpta`5|\}h0hqs8ZZ#v)U} *?xb>Vmu@P3}@=pLqZlO*[[n'Wţ @:7Δ_Qw,[lfU^gc ,w]ebN 3Nrf@9*e/ @گjJ?4-vyҪ#ɭ\voUgc!|^ zqB&O͉kSrh/G9DU6eͿ?sO7>}Sqd3hrCmb$D @OW;V"c%ҌB3`_PgHV &@w 1L~{ǣ :؞3">q&yF9VA&}msn|'Qb8;!e :#H]f`@>'( }.' t3C;mKp2%dm[gx3p x݌N|I#8HƯ'j67L02ҹд #`w)FvVpH6w5`D( Pr|8 u2̪U}5V7o>]% ~q Ngγ a\T4 4f%c|kF㾁:opivho(҇`t- +S!G*dj[fWRNAo[56xm=pَ,)}E|Ju lX"hm%r~+uևՏu\;?Yi:l=] Vҩm{&zӟ=3ڡ\5ઇmг"rVZf Nď~t :{ZRra _X\$b>fU%uc`+xhMFKk'Y-pр g];Irt#ETU+ԘMJt?EggqMTmd09Gdz/sԆՋ Gwf][_W}>>yH:UOw:~.K7HQ{:Jr]_ωq)9ler8t(N7"l)ٶ"&b!S,&;m'pUqU4!],?4Ed,4QZ>Zr~8OƻW]G3;llP_|Zq"Eݡo9٘ckf 3_a>sqHmx+|%|g2+> y8yb݁6fY2OAړ&BS Ŋ~w ڬ* h? ӯaYyq -S]^ ͦ61nM5gVś&x0ǻ^:a?4?|ͧv|W=bEtP~K{λo/l1[W_&-_~&c G4h K ;&\'ڄ QnI+"i@X 'w[l-p#}J2i[!u,ރ"-!{OKU dT_W-lE:8W=ȫR2$KDdBp!iLd }ҵWr= ~oWG~1* 5pQ=[6H%F\eT z.|\(`n5+:x0&]T~\h&W|[G/ᾔ]<8Pqv_'.=o/6_N>xG7w23败Wau'\чR;~BO_ }F 2$/ hn`ծU:[q&W®hbMT#M섓@Zy# l1|C\ZQXy(\.w+wd%cp8gp>%-Eӧp{+OO.x`IDю^GAw Nc|º+5GXyϡa|=H/#v]i|T7Ƿyu&z*7OFpᨺ|% 2߄ucsvu`q9|##;P[p1?֮kbN9]`$;QN/57)gU!cKeE.Lpwg3v{:l>.}K";:+GO}xZ0[Lc4Կe}`0wM!`dbVY7|utv*6Zz]n i{tҝ;D<]$AnmIDAyG`jO&;3WoB"j` !}m MJ<;9Áε9ϳ 实YpRیf&Bˋ+'S<퐡zbyT[_7vd[4 ޟ[v{;Uߋ>Ґ>)h$wBC}QM?}՟ܓwR(Ֆg=#=oa6Oك%͗n7SM>`_k!,WlϨdH=scWc50|~olw8xGbҏq8W.ǮG"n8)PڥX\ dÉR§01.+pI6$i?{Qp'TMVTL*ѵg+kMT>G7oN1M EI+'>7IS{͖ɞ݋ >^ |-ulH.`?{b$%w̌`;6tWYm Kٽ{.dH5s1 p.얊l|4ov+QדoS3X D9VwG}'u=I{Zp?LQ`ͺ,++8~Z)s}hK&nn_%Pľ#{&K*䈺oxH/|MGpaFf?5P%6B Astuɒvb{4 y[܎ 4@*+(n`H}kb屄^{qc@׏^K8$}o|ֲOTo"Hd ĵ>+&p'>U\2MX W:xB;@H^3a0-Kr <@{$3&XQ3T񸄇. {`mo2 5Zۊm I¿vvdy_݃Uϧ br|> Cd2.[\}?N{x5]=IM{ <Ѽmd`q|tX8M O*vla bD:N%{'5_R:k &Âݏ &I7ٕCc=ѭO/n$ٖk:tvp0kk /:N,#=sIh|R_-H44^J`8Alm\]g$^#ʇMޑwmMj|Gy`? Syfg;t[*7wT\` /oGV\>fЖM_]vbl:0M`ccЎW6jfZ*y ;( +dyg_nPvXUUT39ֹ-0ԘvW: -  \=^9\LvӗAF 辻mpm t)%Я{x%D3K-#>@_acpa(Ul06]Gj m)xg-V^ JZ1x;޼hUZբNʘ,NnV>kAD>՞߃L7ᒃŰ'B/Ie+'l6I̊uIoc;[MboM0v>+DZqJrP1osV 9΢%;Zh7p]1ZO+w.C*cKHWrW=O#w?6p6&3n63?? m.Md5r&76`"L^r1-$_=|y"E=o'ib unо- ɥ$۞֖w \]O۟n~mѳ܆$O=&tەpdcVqVwk7Dy#CGFĺ?&\a6[D̪$[,s$'~#ٳD[,-6|M3\ &"?@V h\Hm XҞrU =0u%ۺXtD 06ȏWbߞ<͎w֎Qp=0y9ŮRw| 0fjER`|cKJVbTTg| AyZ]ToLGMFL9ݛ uL9`Rp)+|i`6Xvpe~BS0=)zK? <䁀mtĉͼ6au"L$Rl^e guGѕ6~欑r`㈏삍 vHGl>:68u Гm 8$i[1Zݲ}:%dIm u') e:a.c%dO& VQt[:[g^NkjmVFcݪA CBl5Z_3Ǜ;|V)^6g"-I5Հm3g?UZzy4KǦZ2d?>tRvМܯx5[o7 ɶ* 5|-O@IDATW_Dh`&IؓlwÒl]ąZ22A'f쁯_XM}2)H7_Vxζ'woI{] Cx&\Ua 7L ZKHA|P^"a#C{jDxS_=?//|\(guS6LVIݛfu`zb(2Jnwh_<5[ x抡kJ<vkjt|n16amGO7@}AyGQ"pC~G&p.scwEr0^Б!n6B;@ɋ%k :LXx$Ru˧ul_cupT\S&4뉞DW2*[q-F:RNU.&VrbaWЅ%%VŪ.&%9aLLx]$y s۫)ZǬ~rx .e$-'1j@:%_9077{ZaL+V>X%v[nssX+:ͤ LoQ{׻eMpw]ɎKuVЛ9O^:Oqx?_D^1Tk8 Fn l&t[ҭ wʂOԑ[6")EVڼʓȧ3B=SSz8#; 9>]u2G ?xщ$2lN N$޷2 &. {{|~0  ^}gƀu6aGoo5ARuOcY l}4͋7&  QeB@̋c ]NwD ґV::ڪ^KV+~m%5_ >}T0[=Vw-R:VM;KdK=3I$-VhnNğhб87.{ٴI7>}":u.8H䛕vgy&Y+o`OM:!65,+Ad&ζ߶q}D}pd1oՋ˞tx_P/$>9?p[]Տ0-I8*.? iE^?>l(ħxu;@CmB~hn`$xAÒ}cM[y 2n=k,uY}|xLiI߭dO?D*$ Mt7usqOW%kGCtnRea鎌؏{oǓ4t15.wN"xCl,I3FM&ێ&{.ϑjjM*>g>jqϘݠ1}52zdL\@'=#yؽE$w <"_}ϏvQ$HkCTȮ^G؆p}rk付O>/aWhE3@>cMn.l7 4Zo ȐxDN .SE5A2 x%n}Uގ_n=h͞ )V|}Ɂ}?w;Ddۅ߼y]8VF{Wn::!C_c`<}?\lkL[,XR< R\A~|/˿#a&x6USo>'*D vx 肽\nK[@bE=[af ]vjj`aƦ 3 t1Q C\Xa G ._?<QpxŻ1MaySLC|xm;[ Z&^<0(3 {ܾ7c}ь>ǧ\8;7! ޶UyYs:iUw_L _.h8?7q|/:5E My}>5z~+O`ԎCd=M`ы݂O> <@?vljo; wwanB@\dc1nHƞ ".K:c 8Ꝝ)<Lp1Y24ay5X rPO'kS8mCdL@@; W9Ey0T=]8:uT VNLMf`g$Q13p= WtDB:Ff%iEɫٯ9H̹Ήeku븭89jՇ~n^϶ 9#FsV!f6(@R4:$Q lR^ؙY9MC^1)OUb858!Y)0`6xu4#-`Tulu* nw:;`*odk8J*{nQ/EC5 V!7"I: ?vjrXU=˔H;*%xE~1= Faj._׮1_lZudH $Cd,v)=T=erh j'x}f||wOl>wĨLAFvv70H硪vKd`λ( IFG蠁UՃlWo3JMg{Vl at T9|1Xt苵b{9S B+7G,15I-ߗ4v=CqO {Hߕ|j(^[d:h%Y91HW%bqBW!Gk腚ЪmdkU5Z9?9,<䲄YQPVa׹mQ@6I$EOO~|U)`[17g/1 '`¡OV ( $2Aq1!T[4 ]=m:N#&?jkZߗ'ߝѠ<#R߫3@&CUڍoZ]vX2U?|AHG?9KV';N꿪(.]sɮvk_}&C'8p]|NG%G>x*ӿ|q6oBrnW̗# U h8吏@eRa<0o Z=;%2]tlIW.ȧ; ; ~)Gmfr "{lNS];ؕou]VmJp={ }9g"I[MesR՟^'.J$En5/8W]ɜ/}hjC:$[LN[h w1D;=]7usq$WւCe{ "r&*?oC58Y=#?6 mɡ?> m3hؤ/[3x_~Yꖙ'Bu Vp$kN&?;n=l ȍ"F1H$4Ydli>$<opxlaqƺ:g8?f'C"j,HZ X.B4/8o{d@0:# #D#T:g@\ fc:!g$֋4pX~p8 Ew惁#蟰bvS1a68Niq!|YiR!t.D%,` ܀b9! AH^C3>NvIBy@rhR |*!wɢzC%9#A[I߹&|+OUEG:vC-Ma1W^V%(,>Q*$3-쵝F֑!S:jbud8f>WVbNwG"_$Oe]`f3 r]>uu훶gp[ :M>劮O_vMv?\v=1xZjvto1+/s |gbK< \[ UUΎln!8o±bKLl"|G]h8z ?iN9UR_!I1^bJUw<҆X5Lw87տ̩9HU? ı\3F{_ga4_m5h"xF+ ^cLhF6}4;ύy#A8!֋[=hU'5^1qJWe<'D_}ٗZ5j7jnD!x0~Ѥ||S"C9uפή:Jf7'AbAuחwq,H"~+&fLTA\Lj?4(H߃C+x Ƶl$ fz߳2?:;CgX>h$Ϯ&ǹ{b'竬>e޽}pAg:81z< >w$nx.#XFED+ٜz9T{߿ Dݻ`$_sne^}-GSɃu: | `@? *׎O7oiհx33X&ߨ|ܧ;AD0K":fKGRlL\>6L2N^p u]]bhf(1:~򞤉\:u0l;1%~AMpUGrghF@ЦQ.]qu (. V:`r ;-ϻ/)݀Z4 cZ`G OfOxK"/9"g.k##NjM>~4kÌfb[{!Ǵm:/=h Y ¶ag0/eaH_6H |$؄Wi9[@7ۄ)mۛU==ww//FߒN7)+W۞`t (WLy2la3գ?՜h:?Lsgs"Ю _RdZig6j=,Zn. V}h]lN0I*ӖGq;בoF|`vl[=T퀿vU?Ga!ۉրh.k`]5^G~^s}bAjxt {:lZ?ߢ#g*|1ۭ AE|T)BWN.*I Я&v(eI٘4p&Ȓc G7lU_ I,Q2{d*]'mt(d^mmjEHnw1ۡ 1 k3 oA3%AhN2>&hI 8r-|Kf .Mʒ[^V+3)w1ZISNAx꜅߀6\֯N 7T%('yG6\o_e"A@ZS4zylڎRm4}J#!E/ )IAVl{n{灖:GF%(h|[/b8!x-F-9.NO:zos#fk[X+n=7/f/]l=jˏ ZX̪.٦;1Ď:S>rV4mUWcVdS*v9ԉ:]6B) P=5Ra܇+2 :(hs23 )XvP3:\ bk/[q"2 DY؟ۂ `,.Q?8"j K^[0H}ٔ=KHaK'њ7b3PU,WM:g2 @صt $>Q;t"3ݛe;22 ZF#b$f!>v/o<$GΦۡb%l2a eIv;<]v1&L.*l|sjGzzyne :I jLe* sH; ~vD8! z˳>!;s[M>qCϔJC'Yh&\ mC<@ALW]Oӣ敁^6I+N0<,Il&l@X|[Ca,,SjLZ6{p E8՞RML4]B U1āC7/v/U]axoC;~|+Bvd&U h#z[?ګߗy}!x]WJ~&r6Ί-}iC+l((=蓉䄸c}|}s70Qw-ۣi_[D1$O;PqxUu?zC]9g5%:REv-|}6<]˹5lrAx2K^ XB#*ۧó[Zq;M+hDZo{x[Baܔm ;O/zQ7u nVb&i' f:JoR gώSY8:<$A4QL|GyVlYܶS.@\b3 "aMmW% k"|3dNj*>Se`pe\d Ș3I' -g m[Q 30JC{f~t?C,:/O&Z*J)=Yu:#9A[)X0 C+\ H9ޫQqpgWIzU#Ca95Ӟ/rl9%%ܒ 0:jˀ zϞX{ -GtQ]$X)ڽbթ^K5 ƜmM+d}SxK c+v4'G>4?[EI-M!1, `k+9*϶{.F2?\2@cC&ۉc> 7z8Nbwh-}~zd|X}!>wzFWD |ubd6!끮 ysp+#o%.  ޝ\MrD,ZA\›Xy~"} oH&5U3إ z0]n7jNDQąZQdg:7&, &ɫ)p^ 7`Bslךּ#n6Yݵ/I]'|t3ѫoawdUKo1\E8Xy%¤~>]赥oiZYLbg+Y?b۶B+'N.3X.=?u4qhs}/?%tMVÀ>e_K~|#쥺doU=ԋ%9^v|b: ;6ѺopzONMhڌTU!97[WitF4kw Ix]6:s&0!Floꋑ~EЛNBZ{9>B0__8*~gl{[IHbe]ҰA˵,9P~e6E\q }^0cK‡4{2>}eq _3?&Y7l|G({j@?ڒ3sI^%6 ߽5 ;?n4w2%;-CNl:q?b8&:7Bhץ[_lW"AUG/hO JC=2 䰣~zh W'"1dr&i_~A|W\/1#@0WOOs9xgzf7{-8-_WN49{؛m=K^&/]x+NJzpxP݄=Z ~p|>uU~ > ?o?}|wE#xn_0;v >>bؠ łҏs S1N:qq~M|g:Y.%n3f`*&i6y ٔfwAgaa6/q '|')'G{/cKIV-=JcjvR2MyyìI5")!3abNbFHxj|\i1<uG~j ~X x.^E9\(Nds|MNt) 1 ~K>C36t)&+䊦 /$Pu4$Nn#lRܗNpqN)hNUА CulH0<ܯXzfu.D.hq΂|8賑)%Vc5@a=:9*jVur$3mœqa4S mcp lo:a+=|vG۫[cYd1HّI^VK"'Y%0wc|*C \g!4מm#m%_k}&3Ǟ 'Ѹ::&Ij9~Oj5Xc_kb2\v&Y2mp5XR t Bjs0p/@;%NgoWKm%z#$43?H&RAp0BBEV9+6~6 | b,a`c"zLb<vm2^xK[{-3|M|PJn&#]l1M<tC&VÕ̇|=SӶT24J*tqCf7zbo*ūI{QgR>h clBty>u?[^6D1_#î5~TSDym={Ѱ6 ЮEgtowDG7azeT>ЀKt}F_uY$ :'VVO _6—l4ڮUq&Q6xX~LgCmi@nmdRM ar$cZ_~0On 1؂Ozՠwʧʫ*DI]]]̸i; P<;¯E ,yN̟HHFJ*_}+mrvʊXb V~Uו?>~MN#yvwM&Z8'ֲhOd:tܟ&|Y,ާ2x]c~ R~~_KNEB^15\H֛m H>gRw~Q~7|R_?NW;# %np{zr8>rdV#%b}l+kO?&repfz_1ȿ]8hHnEbdnUg 8QoR;?=V<"h`?ݖԷZ|J٫| 6CL +`IdN`dU.l^'g@3mF]\i|YNethE:KA)0O}gr2fG-LUʜ>VQV϶qU'FCdrhJq潮%ֻV >g`{`l©/3l!pu&඀5tBvU_dP]G )AFP]ڀ-"͞kJʆEP[aM<<ï=4F)0MEx`&G|k_ܐXLkqC0vd]@ߦ4;Htr폯UhS&,CusHAMhFu9mJWjC[?!/%Splʶua!q/&hFv2[5 18 9vү?p4Lh%tU\hTqONR _<$3 3TGwգ!844;YtYrlt}7>5VA;B}=&a?+ f&Dk3}[0b\q՟zUM|8\o[;ߡK2ۡ_U Vvf2K0ubD[Eñÿ6.xMٕ^`tny<-uF woj. fuşq ݚָ]ڵݮ/rr}k/'y5GW%9݁hʮ <䂘o1}}^Cr?;Dc 5x&k.+4 2lho*=pI%r/9 ʮ]}Im6IQx.VγoUOغlb, Wlk |o7}o*M;nu=<|b_Y r圃ߧbPj2lW|Wҫ|n߽hpԘe_^ػȱ׵hl(~dv6 LStDQ}U>"՚Fa؋OytMW4J=Cι<~hs^?1;4=4g|ɸs)'NMBP)D]w=yG w D-l#C.IeҺUN8(2B&(?lbت;hƻ^E39&Y `C- c^:ۏ?|?^;mO_Aw? cokRM"SG,9C7V $U|w~Xw M$IpN8M*OA:;:#Ōqe ɂd=vׅ\x6 ך8K?='M}ٌ%@S2aKF`@(N%'O@\"^VqYM2wF\CtX:0u-ZtPߣ7>f͸Zx9 ;ʊB>vT$S(󧴓ƴLx@Q0u9:C ֡UKtƑQP[Mvdx+d`MO.3Kgl % N^\I30. T |7>YVїtĝšy+dE>Ue݌!|Tsz9҃k4UL]8{׮͎ASك3 ?e6^ý09 =ٱ>v&j}0]+8bV[+ɨ:5 [;O0/IJ l]_ 6U v[ɼ+ӯq%h8l\^sv |atmO׭EV~6O%]$?F:-SX/MrF%^" Ō4΅9㹟ӷ`ݷսb+(d8Ǯ-!=&8:;eN37v5{WH3Pp:j~wJm2l{:.v+s% Wȓn%|>%'Gxթ ؝a=}r6L5 ~}8rT7w$7Hl¯xHxޥr&ц&Ɨ2߁Qt35|يƇA@IDAT|m+,$VCN+?ӮYWm 8L0\'_Hv8ukrA7y$ɏ6`oq4txM7(:ftQu8l`> 3:{5˷5j?4 :49sPN?nIf5<f?1^LJ:QL:Y𚉤vNߕQ [ZuhO|sD1 Ɋ]GF~K&qx'θOsNV--lf{wmNg/_|֤BvK'i`^|>l ;_=hc`Ѥd(,F:bg`S:]' g:߄N$e_N IlbhuOJVz ew袧|argޅ߳z7 G ^ ATﱇ;6;{'ym7>rÏ/?я׽{Ńg= 7ФуG.7(&, ,?L~Ħ,۠S xo1# >eGA=vc&Y-y[ Rx5[775՘::hbhGLr77O^Ng{"7h?7! emA2,>WcvS6q+Ļ#[k< ):ߴurnaYvޮՏV}=+ϮɕX)d8<7^8c{:IͽbB>Dr?4Idž_4:vozNpü_q~lO0NQ+Бt׋ii4]=.^^|ڤS@ΕVټcľT,k[CTJo~-od_?xfU]@!>7Ґ ;٬z7?Zb:fT&~bhH2]S#ܫ>Ԗ60t5{Yr&򛈽&:pc#ΦY!,ztXl5bċcNoy"1-me="|+uL.|&_~\_o?{g°.׿}zyy{^bG.7O7|׫]L{,s VCDfKݥ Y39i^oC\_?q;?ڝ /;3G3A9]y:[kԢSYe6~6GH@/59Z"꾸u{ӕ+Unڷ`]7w>:h<o٨ }G&Glq˓hGWR4R]ս- |wMc9e`6=yԍ 9ЙvwI}Skf=eHn^}AMM3yNVMϦ6ˇTD١fQD:d>T&YNMk|Y]O&_':ԞdWVh> N㧽ozK-_ O=Ycvfn z#JaK+>C{|C˄&:dmsiG+3l'7 av ה"-^fxJ,"zN]#1_z&pqoSvlvNTG͒{uEcˎ#*׻?iv/>ۦ_dQR>ˏg?qm~eSzTmOzAcH%=_6b-߽-Nb6cz+uk4;GP JE(ެ] 3wñ :UZ'Se嘪BOzc:v[0O`9xV6Kʈ7"|{GrQJLgI89ꜟέ:ilj3x3 pn dY!)[N" Qڲ)u!ަgkFP^OGoYCAÒA&qwܫJ2߽vȼfUi?u7rD3IW6qv d_t | yij.`gh&#[T r񛕌GnS',2NE̮٘-,9Mg5^ENy7ۧ2Ff:O>*fsof-LK>NRSYjXP9<R w{v8-l& D",},H Q35cѲ JH"'U-谳,vNg?յLXTLsߔWڹfD_m ؅ ߪ iy<~%8k `3|[ޭ/~(֡,݃;ꓑJO:Nێls . D4B"]ޭӭU\ ݞuKCʎDF4A[|]VB\5˼AjLkte'%+zCdVH3ę5FE=h76|ד9<ٳ**$,& qy 8saG>jĎ6A:3ùrt}^(FǝفϓUCȷkm"e ;|2, %<'\b|#)T=Hʱ5QP 7~)OY|ERo<ዾŷr#zM%V!l0(cfe$_ Š d 9kI *g-ŰXWG+;Rx6P+Xtގ`t!~?>)y.w4#1ў|sn|Dzٵsv]܏?@ul}-]UZ8x/s0Np#^/ZT&{ X7[˔ #to8[K%rPtM8%=ܥtίlax$NXLc'+}E[ԍev&hf_$^xW~w{hч.mǽ-:ʽ PGUaqS맗Qzz: G==W~TfbmU:O Z .F'cL\\ǒȀ)L b4"ݜ6[^t.u𮥊YG3m:16ǖ*32Sn d&tˇjCZgX}: ~'BL ؾ}‡# g<79~%=jzC* iۨ]QQ7op;.ųg쪋*#o}5էv3h(a1+2zͷ 4LhMDN3d͎ʩϾ#:&?& ~)zn]l6 lMCŀ߉cftJ,3+8XϠZEZ} M8P+; s8 €-^R)Pis trmiL-cyRgCP i(\94Ⱦx=Ό}6~Z+_HsFz@ҥdryk @݄ײnN;@y_W oFpldظR3y,KNPN'#4g|T6}iƓAaK㮆J+/@@* 8e9`ʷyB-ԼN%.<1l.wC<.O%3$άСGc%ٖOlb "\ѿn84Q(ˏ}1p= M|h"b3Nw{dr_ãzG(+%,.dSt4z"ʃ^'}r]$;eL.,Ct8WBq'd?h(>a|GO7*R_5णU6ހS_"@_]XKf6raC| r!H/g{x2q걠Yv8l@QLl i_8R96 +0>l] S[]_cT[/ۃ$a`ʛ^?saGmvY`ax"j Gi~=ſM\< P' 2dKN]>$򮁹>(E0Ӎ߫x=w;YaO'k5MtKq?Y3qXty(tD0:po3D9{u"# :*ẗb<GRM"վ~A񾕄dy7E}ȗyvL]VO<܊`h;u7EC 2e+seI f^[_o@;\}Ǘ/o}z;ڧO￾|Ow/?_m&ok#oj[L|_~rg Gh,C_0f#I=&"2 DD1^ <)pPqxBþM21@?r5ʖSBbh8 *B8P q ;?>4.F r^Z:Kin'u%D 'ݯ&4J'EJzr`h =>Xfy;*Kљ7"F{*Y5CS93ttz*(Igih2b{ ["{>OdYl%xLF:،(f:[FU 1st6w=C58w6R|3:T|Z=6l:FWX6f. xfh$ufʰ ?[Y޳qٞp5 ,SǓ4j&i# Nkm҃AzN7 | M'ߑŨ8Qc~mRT RFyšuv+s@9߸pQ[lItÛ\[`|sAK\NlNG-DXEJ6v6TlAr.${r|Y&O8O`x֠˯1ݗWuF据M ԥc@i+RvsH7,tVfÞNFmؖtH0~ǞnL%|[X:W_^N'' r!qo 89e2׃SF^{&=}Wx;S‡V flq6Ce7Q>9 5&0EzwǕ:|xF.q$|ϣeNv67^w}>!eh\Ŧ9[y2b2Cc6@5I>4@ϥ=ɠy8wf/,Ȁ:hV^R,g֥l0ԁ>Y>‰okgV9`K$~k|VT/uƣkFĒN /A_(ɃϤѭwo6& 9#NUtSlm]^u1&G77\B&!67GQxO1P sLzUcu)>%{zb¿!e>~GY38֖jVu?}plUZ>#/IA)̯=MUr2,^yVgCt |:H:^0Sw6Atqx|y;i+&rB[J!/xwgdP9Mn@%y8o辁y$oCsd¨^ыApKŤl\Q޽Z`B*=r'RxʮXGμb=D:l}0/?k1_?g?<9엗;='=U{T{ksZai?|}G^koHxn2$yމW<t!1etB]VO*4y#6GL= `r욽kelH*< VIJgX(+ ;YuPJAtbDG&@4քNٖ8]J ^Q2Z;gd(?B׀~6(:UzҼ3wj;y!>Y\ȳEߢb3 gFC%O6xЯAPy[D@TpUWlqv7K(s%^nN<8i7]LëkBG ::Do -Ld:cZ0֡%A &మJUՙ]ˬ @%H6~#o;{ ^Ɍ:7+!|0NT=o8Gpϟ7f!\޽s.5P| >fR\'O'o2+jx 5"A.}'x\-Xfw }twۛ ^l(76tpɐn_0vjp&{Yx'to] K;>m#~v\oRUFnʏ569ޠNUt}z; 0j[ bcfزn}_`;^ \Vmm`@܈3.`σ`$*dh~b%#a;d2<Wg5 )ۑ/_G Niw]lڷ AY0:u~lxKuI5`:w%oP%.Wn&iK+5a=#"٬:P:%g !~݃dDZ4ʯõʄ7ٙ6ѵUdwQ#m>Tx ,P9CL S ;/oy`KG#,~Axa+׶ɔ,F۫?]^^%?p<kWxA5\띒)Q8wWic}+]3t?m3(~ld2<ĭmJ/xlp̣e#*e+QBms8YaE`l}}MM7.}}-KAr~B[g ^M$9(>Bdox|tt Vt1_p$AbvV6W9A:fɎh,_hnl`XQ #HgYEĄVF_e (ko໽L ˰VnwңOVGLl_%nh:S]7~ y+QmU+:[ _ku{\|" DV.um$1 yy,tT]_/~u˓oݓo/.˷}~o= _?^._ձw ׷_}F=~Vv|V)f_QEԳV9a9ڕbUs+KboYBwAW &*;t^Ρrjo3hEZeغ N+= 9<O#>M]Έ,F cRpa"9>E"#:6 0>f0*1 ip/Xdp\!A2 Z>:>{:q!z'D1'3 `\'NiH.+P].8%Gjbpp:H/sDDՀ x,BUzyr?ړHdTz]pz}ԿU1[Ee#kJ7"lToTY:=]d{NxΣY *y'X{o&,_ǝ#Fj]EFi59BrxQ;z!+ O \!@3h l-۩ Bu|iN_ӊS‰da'#\t_`MjĹJLP?LHeyD[ld8v&3-x"'dʽ<&,Jd3<8rKF{iV n~|4Y( ƏJV.Z1(w:y|=~+APq-I} t|rȣjfl~<@ESAݏfïsǔ2etY;v蕈4'bd2B/4,Xy>2Gb9<3Ph0+{ ,~w|їL&& (# ҽ2qvY Ɲ>di/V;WuJ D|ljp#@mW2?u3vq DZz ;ٹbAw#[FeD}frJZ!n0x59z bxgGucCY^t+wX:8P<ҰsM:LB5n?<|/~lζO^]'v.|9[p&*L$FxݠYpm@z@Ƀ#L8e W$xAe32+5]7C]Y/8M]fĞd*׾CwSHV?*wM`ܨ-&_q^]ɷdW Z9bY,fu]&#JKzhmH\{ | 7eNQ2,OLǎt"EWXઃA;/y}QƈV" e[vv/:>stѹA?dzuC2(d7j_ZQtNfK0fy=.5WgR7:xܛaUJ(i6)hu⦶G3ަ>2MN$ =b6 {Lxʞ[sRwgdKW-B1w88W60[Frǐ@|=<tL7094sp~y0ۀ:[I4q¥ax:ܑpl\}aHHC+~;3:B=Sۙľ(8msF~!v43;f\EKb6:grQ|rH6?Ȝ t+{d+mx⣖@1;ou&ӬXϑ3Va?[QOJq`n$ L`^֘ )qi-9\\m2ٕ{Tͽ'Pqқhrəoy\ \̪[XeG|N/h :Tx⏑/>y]A6@IDATd3Js2 DÉFf7=h9:NnwyFo;b}sp<{NCy<Ke *#H l38}ؿߌ2'9= > B8'[ ueg n'ґ!z'3X[Z:/V],ඌSFb=P^;@d]{7u

+c@ |?Knj[N BL;T|&&tkP x)78ր4qr1o4צkTOgĠ:ZCs @s-G1nw~Q,l;Uw?dQ\{Z]iǀvbxMmx,;q=z"zi2WܽoPEʗH'td;J%oC`\Y6gb@gmI˟zD팰1g[ qm-$qŦ~O3<{,&啋쏌/%d7lWIh7fg19ڴՑ 8Ѫv&݉*Q=mPKp8X{ ^`lI積/>7c~lxClİ7jg_\]?iY?cy[I-~W{?ӵkl&E_&hY)C) ̫p&xW\ɘ:)/U! iȐݠ d">v]mbXFe[cW2QżQsnf(H l?Yc4/h:qQf<Á@Xʛxg k|eda]z_Z?W=Q>JuV 9^ 0sh`e!uȔ|_8-(KK iumrx蠤'ز_ TV^ykh`7lsV27lqf$<ݏnhY.˅=ְ f'x=G| ~:RceOW0%a;2|`Yq8m|ȨtD֑Wzm3U@Zdݖ=Gݳ$~/ל-S;"S3qopt =R1 3{x%$wCfg0sM LKJe:A.^Nؙfn@m;E\)vHn66>]vD蔾J؄d5_:|td^XM jNJ`{b;E_5?|aqJ,f¹yUm] [21nel{Y@lBʺj`#[Tvb|hCo#:肄-I ()w.[pq[6_,oVfLJLG3 Ex[[@0=,Vlx;`r+lVY4;@Kg&~P46]FyW 1b+^: ؀\% \Y_J;W;4D>hu_ll=‘ıDYvPw-׎u ڮ+/"@?]Soe_ڣ tE&Bl' bA`kK^r\m؀N&~8&♟ӽA%w4pO~fwy:^K^,ٓp&JT!o9zqY{/㓷St,1~I]0Amd߶rm3=4Kh휮=9FeJ D;JxP@^@ B+=~G¾gZz6ceS:={!*F'yG4_%"Z}kmUYQƣ_yunL3zqh `%etjbp5 pZ)h.{WFi.{K4d+z6Gr:xF):X;v($4jSHa%i(T lL8 U9fõwF-Npn#l~69xyjr,M7=WD $Ż\*%،Y*NrY`q`pHFf T>u9&dN| GS|D@D?-5*`GNS=p.uTPn{H,Q*g~:;p~la&oο{Mtv'l2'# E~.U -llA'pq)%GDP?NoqT7u^S=WӧuڜtiAQ+Bտvt\ 5pff l>ʯ ;ʜ9b5A~f^2d+}_<ٌN V^iB;7It}{E:,F{ۧg_=|ǟ]>k5m-hf}1Em|rUM+.D;2ag%mp:m;7jp2Ga9f "[]th:ٳ |uyw{՞߄o/O]Gv^~& :P;NP(F<wy/&*kzC)i>GdybUY7jNkB野L]tz^=Ffe0/ N!'SB :I<͘uzi^_~H i{ [hUL1kPh6P(?(MLxggDeƌ;:4rvK[s),i &JH}z023҉_Geb 'PIk8F||һ!|* []DW@{gJkZv]z]L7F0zt-Dp#~UdMr|eɁ?6*7pI93'ߋA|SY=*Y: W*BPG'l$=C7*eTwޣe`Yd ਼)/wW ixE)A%Jyv@&:l=.ƊM`V3O!b|[rѩJ`dmO%z*1"^dDCH-]̞IhʃQ8~8|Ν[Xp㋌k`4}IFvtm><->ff*ӽ?[5"Ye-bȖSia![Luv:9,ن'e[]59皼yvYǮ,$B;:s3<lE]d b1 U߯3S""iqpZ=re#]6htnJSV㐇 g-VpwS#^}h!gbgW\\~!Xr4#ڵ:T?dxَHE,b{bՐwSl%rv2Sl|mVv׳?E>mަϞ>kgof[iikvC]`T'| |6^]]ٴ|oI=UxHz$[kJ;co닝BVQQE?al5.M4J l7Sx*g/^޶?p7_ ߋ;f&VW=&mZwj+~=M,_}yVl0=)҆Y'gRg=EX/g =֑ɜ;Y9q!@qK!'䯁, ZY A*gr" L| l=3G _#[A)Dw P@yC5[ke~7u nWmSgnN tgm=8:>au1r>]>ׂڬXcFUku{DT8Iw{2+:dCbt ]oFud(2*t@噥%óY)`e)X-xh$X/ b蕵FQ/G`UC,[R̗~Z2$_m0bGF^Bn4 7/$Ǔ^YA|kC%|XY۰oyFF.6wy/݋>HOMD Wgv\KZͦBb}˻f 8(@}wYdfϭd(|4)Xvh6dtX Jͣc3ŕ#It2TZWM"2[Y dT*fSٯFfn:l@-;lҵL8ǩtV}qNJS:A7|{ȃUl 7 (g祱k2\*w|&~S&BA#q8Kϛr%/]t{06غqX'2z^خEv&]>˳\zl*/$o~ړ*?=F TYA ^K-+4we48h㢲{#R<'GK nffuŽdEyvd+;RuY=T>m nEUft:hu>8; J^h+-%{ XPPyvIԥp*Ϊ_t! 7#m~uwNٟV7kuTpE!Jӝ4&:y3(uh |M }͑n!csV~F?azN t[Gn^vO-qP@GXWҦxҝkI^O>ӯ|nRi]u~|649$һ.QOpGm r JIk}W#OVY~]ʱqGfz!}2`C]&\E=ه =,Ң uv؂ԧ,x]=־º睟qT}_g[w%`LXXjd^St0rVXnNaQ2dmiEstoCC$7hs_'-osH~Ǘ?鏫V@·ݠ|s㇌颬W Z-eӕo* mD}y^74lzzf1v?vGm\EFhz|m&^n ?b`M^3:I+?a} v3e'ɥR5(o{ںg V^g|=ԳמO7O/:߶E\ʷ=_V=iw#﷟7\Y4Xl5Ňx|[.}쑀6j9| 5cW t/>Cƃ_Oc7v|hO.sĠbonnOf,KyN,וCbz _ܖ̌7z %SK=BGLOzN;"`]K-jl;xgfn=-D"!.~ixQAitɠ=Xy[O(uzXzoh{o#aq"ZVro+-d VZ@rlu7nE|'-t9% lLs S=Wl7}Y_q8 Aug`v2O/OW>ޜ.6XFF;\=ůQ2k C'/f~Avo(9Lrtsƚ=,D&n@|Ľ{[%srȠBo_xew# UDॕsFAqG;*  ޖJ eCuF>!!N8V>B|F[p6|7S ,܋&' N:2@dycۍuuUu 2F[2rllaqwɔ>2VdWWL3CnDc 9|Fؖ^1 1SI2$0܈ڛ衼|f}d}+-9R+mJE8p!vFH=SVE hxU606n~v 鮣/&5zoz1~ؠ*/i(t=F'#.O8Y\M^юk--ۆT:SZԞ3k9XlV\ ߸-uFl:)n>LAzu鹣-'STG?Pس[|{lQ1N.BȃXh vykvcFt*Ct~K}[IbJl]m@hKRL\;ň L \5 K^1>v'7Tv7@HW5Ӥ04@2$@Pq:u~~sZs<3ߍG?i {t&]3waGtAv>U•TE^b}boK'3<^o#a/v.O%[,~6ٰ0将ޕ?yāSHfzį8lF|mS+ v}#,yruTNl_ow7ߍ F wϸE< $ta[|eeɇ'^+Խ K=￣':^eO}q74Ǫ9@6t́)}1Ga'tS'φQlP~={:=vvOu?tZB [iB|_ 41tZ.=S9Wfߓ{*Ŝw+%˟6#9# @~ޭ]s5e+=ww?5=@%j8a8u}m NπEѡOe߄d{[G|stb_OmXހ@<˫0mť\{edQ9D{F8tg!X$@d81q? я#S̫>Y^@g9Dxbu+'ނʺJW٨*^o+o5 FQ]}ߠ@hJ]Bg##g٪ v>Ϣqا`b5;@ n.{1]ZWK0^ Z$ i=K-]1i 6TĬXCw+[YNGJGh$6zX͡eGit=Dr=wL*1R0M+}GBW5eیIOBW=W..QuBSvL(BoaEnW}f~~V'`TKa;9dG ut &~dK |DӞDԕOnHeA&ɂfK<"d~L#xef3ZșƇ f$F}/X=c7a Hx'kt3J^+uoIJP"xR‰,ntZGb]!]#:г-~4bytzvC16>= u'+M2·*v2M IrGlzil8cJV&ϱ޵:B/S2nI-nv:;2ꋛ >pD{_߬(슌}[ ~1A:EKpu8'gXX3ё?: %q:]GJFLBDV(5v$O>`@,7o M7Tw"9E,긃<_xk%n6fhw.\? Dyw z,7l7> y!O7(!/|qJe%gGNa6G{Gѥ^toi{_, վݷ7|~xU'J{/_ǡ/aXCnsdH#O}-7Яv06m`_"_r'Ͽ\G :::gMԶX/lbbL?6N깳EMWL⊄8t`3QQS9Jgh2Pe^7@QV64 ڷ c6g7OG^40ƊZ@v˃p|jSl ?-39lpX^4 LX*KCtyL}ǣGggq6:Xhq(L d028[-R݈a,Cw lf>)nD5C$bVR086ތ`~݈wMH'Ĝಷ52<M/E5:[NY)ꊶCa&v ;7b^e W819m:o&ˍ\W FTԯ1<ybˡsbÑG6&FF}u4k8UU(l|4RRcm5 iϚPx$u*ݖN%:Fvt"N[p ~U,'ȩN#  hP~:wZkx*VeSUu>_uGEUٮDijp#)$VL[؍>Q/ ]DzSLklK4_#1QfDhp['[: ՁsaSGg U^N?Yfrs,%|sFvaL:b,8M`d>N@o(%d:;ݵiAfT F%[ڇwxB&.yv{ń a@L?%Hq`=j+{sM4ӿ,-;ZPsϵŃ Ћ%Jo`3WH~ë*+ɖ+;l/axC{uٿPwhouA3_B4zhX nm.eLlaI H3vl+$ w˯|Vn)@+[]<'=VU: k~Nwùݳ\/^֮iwItephVevN]:2:*o4_O9t|2YTqb|D|@=Nop ؏]em@˓=FI`e73 |<7+k/ؓ4 Z^i^[Y[a[k0 OHnRaeG[9 l%D; mCAmwDmM $7 xHđN=qSv6^:o#X fG>||1 e`3>҇Awҁܡĉ! mD llsNY!6ʄa0 YTNk&1'**e-H{;&G@~?]oY-R DXzB46ոRJ=ҕ,X|HtnDL"bSWq]W\^vK K@O6쎞亥EzItm6̡1L٬>8Uk"yaM]VxԹz=e6sAKGM:uNzxH^v[L94YonmWy?'.hkf/OH&〄ruy6[h^[D#J&4.LCnahN b:ǘ#Jl=~L_IzLDƬ+@+!Lv>+!=q`Iܦ}AA&|,$xstGbLVКuEen]/"{c)3Y#Llbo>:ixl3ttw,.F FD[X 6>ّ+ݘEGh(%PktW2uH!z^1xm)&: t[ sJEsA|>ngFlu kxxTKu2qr2𦻦xJ3IvgޏlPb{%}:o4leBdDO'i'>"bWDS^ZY0?hG{Y=@IDATIs$W L}+bxgyΪ@ʅODG7O?S]j6 zB O7t[#;0QyUWϟ^>͂>͐%YXJ.eSśGYf(=ϒoOfE}[^w^6f/}7SaxK7PB|΂(ow=r$?Y| Wʆ"X}; F&Oc9U:/װŖE % Թ('׮; dCbT6*·ѿF"$Rm ɌM-OB|I-è* 0soHrF*2!FR\gPH)xIq`K6"E>2} #JNg2zcaBN#T' fj\N"1bVǬ eN>-FV&{Ug"FXΒ`LQ: pyKpY3Ǡ~f;y >v'd `̎ogI}6zrX2҃~egs莶uB8GE3 P67`gtZ3?4a ##mԙz6, vV {2 x3"2hsvFjKlѣ8*6lKH*uG%g9_ ӣA 9f%6mߐYBhݘag?~A1.<$vfkaՓ2[ a65DG/=Jlظ'=6ؖ a7#l#g֒dٜmaN7YO<ե_wn2sytΠ2P(dV= {2=nUm/4XoX0Xh>e30|dŸ6<h*N^W t`;!GQ͹l R%]ޏIqjk =5 q| C Qg|o]%}GXu@fPM@V<|GL7l}8rBNn0Rڕ d4G%aAlЧAM&`&kIRkch|lut6Ͼں|Ga@( 4"gL5ϧP;nѴ:J@u֨{ {*HZ5b$m` ^u%(\"b E8@zI&4P-@eGoټQ픲3Z+Ca5j;\K$=Szh G6FS'ލ0 X;(&| 1jD Hx$}K4,9ޮ gP %,Rzt1Q%u> o5&3p]t}QȧN1ֶ6|Ogy!G_2K7@G ?Yb7C7vulB%HIz%Pb#;H.: lbGWΉ_j r:A{}8;g96 QRV6],} :AiG` 9H)=k+Ѡh؈04V,F * ]"*3OT"s\YT':pw#3D:Z4l1zPͨ<Yk|ijN}-Bۮ[ \=mngʨ#~%+2&I:6 >mEܼ(L DҖUm)`EFWi.f%~1=Nm=BgtTG\sqtEfO$ŬN:[`#=9ڛze~{vnBQb$ XLr^$ 'm-)gl%}sV4dm~2A<ٝ}&/c`I;V T=&t" T0.*S:ŌL]Z"G0),د.|E͝ ܮG=&΀ՕwrMw"q{3٣, vyprK׶21Vn_gMȏ"}g/;!#=PcZ:~|Ыc"ݗMw% 2u<[BK{_K#QnJ]k/|͝ !nzp:Xln &W_> 2`{܀;~xMnjkzb+=x-Rtv|#: Z7 L`(kT$t& 5a~e0kCquB ݫBXO,Brw_ 0&%\l'OkfgSD e,&u;wɦ I/K?jUFk 8^פl6o,(ڀVs :!gx O1ś۾.-֓Oܾ .~ڴU0 ,mF_T8L,X Us>f0V(X[T > f|dz:xSr}O"8jW-_ct2!yЁFR%BHʊo$34 URh+kLڙʨNz`@#sg|T c7='80|to#І'iluPޅNZAӏk&QÚ76k731AC`U{'ynY ɡ6*_wkO8J4umvdI`:|Ac?}wFUYGT!})v Hj+_P߽΀T`/jOJN/?G =[Vy#l hi+=/,ۯ`=mVa~e+ е'@o'7D>oӞś6?_7xUxo}oMȁÇV4o,ZJ +;oLk= Gk{.D 9ԧ7̠t~WE:+G0w?[-/HNOYq g5A%o6lZMՉOz{Ϟ5oy6"m}!0kS;g#&qDWVVQN< ?HelL/ԶZćoXwb ]L*!4P.ǂO.]#F>VH&l}n wu#}_RPtHx3LC 댰t*v"|K@ Ӗ]!6!H@vtgϟ>;5fLp$zUמC/ DF ܒhKZ]M]e]A}G4qZiȘ4`p'k2dJV $w Kzvo, D-{VcE6?qrkRu@I5t8OavyV\*,/8(m]PXffG u{6 Ftpv"alW:=᪜U,ydVTǖ2cv ,4-Fക<1E`0YgFc5ͷϱ2z1odձ Y{"]m̘FQ-)\ձg>)dSc`HmǏUK%ad7smH1rx W?BGqjΏ`ZTb=)ٻA}hZBYc>?=W:5 l|j[&F6h5 bYUeI;{{I%P9;=VI-UA{FrWԅ٫X<`@ef%5^IvWw7u@\8gј+n7ml%d8]~YW=Vf0O1=՛@O,J:#S0cO<ޤ?_C4z$y:+ ObߵSOmc$8^q˻rtv> <%Wpy^[P5uNjE!9̫"(Uv) ʝ!W_-͔wL 'Cxp 5z[nPYpkO_ w<Ы}.ʩ/W9MP٭mqU:_5ntW݀/ۮX* /zsN;B?>2xx h?{&'q.d#ٴtomKU=׬2`uMfk?jBC00|3ϟ{\e_:::pm٧i_1ɒ\؀mڷ]<߾LA\pENvd }Y[_m ],DK0ŧ'3:}7~l_|y߻|g 7.=>hIgy?嫟}/\6uOuVS|k_y{&͏=>ˋײ-_^o_KOQPDa3>yR~/r=|CǾX^3ˋ8>Vr{ux~ȤN3o<~Њh9_zOadyNzCV=ڿFur ?XK+eln YZo{?5#>֞+K}ਧtmnLjK%/d}Ӏ̯C϶yczH_eа@?u<2ESiy L+~(i LtI<.:L\ǚXbr%xۿ@8Vy/JF>< 8 )00ġj;whֈ îX]\ JHYBKkH29ɅN"V&шXu6M#λd>u0+GhU}qx7RWͦlU#G2% -dobOWN\cg6(ruGON E=kdQ<ⶓոlㅀ=J7iUt@땭?fV*l9lٞCQ'td$bt\yW3XtCW:zk(C`*6?=Ë`~$ fa+m(z8.: nv!8sFSEj@L?{Uk4_T+zuvKnj;~eh#@ff6(Q=q2Ay!lm#9bdtQ2G6taw`g/ nfV9Ȫ9NbHQ?Xw7[?|rokU\ހW v?/xי$JcSAm7MG%K.%)ALdϿWCF9WT_Qwh ɮ}1jCslB!>Wex,] ƼʐVf0Era3jwJw{- -'^TV>KA0 nV|/fq'|4U\(N$b^mWYiު|gjDws޵Oyw[:[v8߅! ݑ c_ÊT]ewcv\Jwy!7 Z&c Yg'ꖬ-P{xghÜo6q[NsYL{aZ .ƿ z(ptɳ2&ZdǹJ/$&xS>cVfo:*=lq~#5dvQ:a6xa];`lSc$fFt/ wz |W &mV!2PM}D_O%? ׬ xx#=Kvr {W[1B?~Z)LBv7 ;4Ђ9ϊ @悾Dc]Iǡ:C<(*s"Dzaa3od7b0ןJ:z.8x`?`M]l{]C7O2xԑ jNC9aw]2Sr?Qn:"(=gȓ8J׈ { {c=.,nٟn$  s8Kp_{Ǎ1 DiV.|fQb:8.U*sF9OXdz V%xK\OAC.tK ]3z~l y,mRfrO|`u@nF4V xF:PfqiTg{I C`LpѺ0\F@{fk d 7G6 e0p[G6|ILYXӉޤ %Iv} Iȹ#_mQ9#ƯȫkhTn&:K܃M[Eؤ*O5 :DŽ'*W^#UM:8q:XBb$3kNJY`,uxFsէB.ck &{4&H*Y1#Sx 4Y ?=\aW|20jduW*< fzb>D{yI>~ikOFma&.uM^{=B+gc!e?f|y|Jt 8-F0y=ii % /K]~F`ф E`G5۠VkYU䣆rVш(U2[YbS_5#Fb:ݘsbFX;xd%<~31Kndz7DT\ ҩ6]YǶDڡ tm 4v}2lS5 ADVHiz:6xbˆ>96cd8x"oK[*#WLȴxl GR;;qL86R՟u6G&7??^@1r>G;「)pVx^f-b}ʇ}?x𬼯G*>=},~Ӡpgg_|ʀ/Bu҃nK?=+V%?{dGwojj}j@KMim*ҹWZЀvuq\nl0DX|1X-[oE[boO&XONVoß>@vΔ}7]* L6~NXX_|= /~ ^7:UWkC ' T["FD%[LJ] `g_3PO#U| "4nJxgp /uc82N|) j ^aq%}Γ(h;A l>a 9K:pmt"(I my-*Y)`$7$1yݐ]v gU}~x ouMڟk?P&{3|21ȷeHy,y)2&qLԫn׍fw>' ⫓H.I<]4e-YKbhK&t8b+ Dm]8{wzEgtdK"hݳ(K7Zp1"x+V߳F$=ۻu$jal;l;k3? ƙgj/o)KgF<$+[ t e,X|&XAY&K'& ƗlY'X Wý MǏ&UAt0D= H>ޣ6a%bvM6r|4Q2za3ZZ|?󍧒j.0#=g_gV>5J< jkJtr|`lT&g~{KQ=R5:J$lкclo)O>h'=kˬ8->:=vs/_#{e^s:]"m$&˯6hBקs~0b+)Ƴś8FL<ߠ\ht>DGgFYX Mw>|Da ܔ?ur[l\rx 0#푔16M*Ytu^,(ur~L?gսr>j9ۆR;3ڽc- :@TJcu spCǷKtי ߠ?* bxe'pW~;;t׾Ý"c:RWNine U:Y;L*U ̀Ķ+M:⁺@Ed:=oW|JFzlqځ?pt9F3Fg@gx-W 1ٓ Y_qe 2 ! ?<6[93;{gt1o Ov9zVD{b;&G|wrrP`K$G(wݵ#o(ȽiH%:o|yG zGVշ$yuq z+ѭx> E؟&^(.586ZT8mD>^\?酽bdA^h/}6VC*?)"=W6ɫ3DlCAk{}ϒ_ i [x=MvO?v~v7Q̹8./^Iu2?] rׯu:.^g~:_lGϟnHTFW[^NX'U1qf|d֮T~IH=&|!+C@via M( $p콭20ȃ.P VuZAz9gGIu<#z j$ @b0Ѩ4\hNa_7Pi7=1A`YGq%-?$R` :fH @3O.U:ɨnh8 IuRڴ0=mwY"1n=1=MGe84wwk/չa`~ѳhiXfCLd@ [7ɀ#Sy&ʉ^5=["RӅ7dٵ|de9CɹAw&sh{L1`fH2䙡Ɔ]3 [_vd!=4ktH^lL>Y;7Sp?t#Jo$ٲlV$[ÊKaedx`:=&VO0Nly ٝAryV,ib9@{K“tfs%>{1~sܸ 3Ɩ.O6w bE|6~؈k8"#:M/IGӹLf]l?ÇʷaW"וb !+j UgI`Ƈ/i`%f+(٣{+0󩄧? =#zO|8xb*UgR|]F21p,ȗֈmyDb3e` ŀ3Y )bk<˯8Lzа"gb b; b?{*KXx]l@eX1xJdBgx.#ܣC{&`߀w_ gLbo ؿ8l~j%WuSb;t/C㡲ԱWm摺3qH0 ~+W]g^lG<,&%0\ J<]ܱ"Y"mvnlCHuN5o:*b݋:yT`q.`nBv7-IM7,Q]V iڤd},^?c8QգgM;;rn|x2,}Keaޝ`(K2;oe|ؙROMfJ)9,~`w0A蘎WjU,q4ю~lo0?rKm=zlūV&(ѐ|/ݞΐ.@z8TqGa^Ra";:m}P'8> ~:xՋl6 Ow2MK'{oKE%&$_ĨWgFn0 4C)ᓾi^gOe6 ~c4P>J0g4v>,wkmsuM|*@w!~2XNlj#ᠵĻܚ?VK l}|&M۩MA*B'o՟.\UŨSxe?^~ߥɩQm>K|Nw\_gGuꟶ)}fI_>Xuꋉ|y$>/^o~ǗUv]ofc-WJ?܊x̟{` Jߏ7ϾڦOډykcpQ7 hgM$e;ޔ`c2s.M_OmaomyvhA`H>xӽL0Vnt_Zz;=֠{^wJ 7D~Y//}" (Bo| p'`vdQ'G?/%yT=>'h2$b}=BcČ䳯Sڌ8JL+q2MyfSp$Wg*@17j_} ][Т0HeƦaq#| 8i'q`x0x2 VFV`Ȓ5*C'H>KwftpJf6T2q_i]Ѯt_u_e`di<kc QmVp,;674t. Pt*nz-ʧn_)%lɖcCɊĎ^3wZ",VA@IDATu(ٗMdRrp*,uk|+S42jk6I>U8J ǾK i7g+/ 5å\ڌ|$Hl!6^=~63.)Tٍ n0*935vuZ*'NGH dNgĠnWĆv8l9q:Lq=>q= $퐟؏72%~I'thF4zF@_CT:Ddɳq>"Upj'Fyrgh 6q?cp򫌤W`a^5K ~qoWGը 7<13I CoՁ1.JV=<;`oL/I}&3y9&#s4[_Ͼ}ktFCtp 7:uVG/Je b~t-Yr9>&jyr?2Q΀FcuGjL/%䡝8@Ha(\0;n9b^ <25ut'6vs?RH5dmpZ{ue(,f?(˯:],kpcz:F1Gvvy-}Żr9oF#Ohy<$B4<O+ɬ{bZB:p=zؿ:-&7RaTఇlT\y`_>x>7v[L =Ev.YWX h`hgp^!)z#X'oFoh>Xᡑ~Eͳ ]oz&Qh"O(1d.&ӕIagSy:u5;|l@-61ťY뿽,l"W=x nha|~Y:[]Ⱦl\~Jtf)}|^l*'bSmb&owM6<_nxRN a{m@#Эh`2|2 q߾|{&Yݽ6C"xL5%7x#Zu^ }5"咒0"Sg $$®zƮ0 k"3{KBY⇎ ʠ nxwaz  s: +3^^lKԮ%%D*A^5_C@:A5&ɫzt5/Б}⪩Ot9+v-hdL~5'3\ݏQ].'.GtzdгO % h:nZ-q.wD Ud3_$*#Zmx# tA1 qt?'+'{C|r:tA^;KM4uKԱYq ~p :3O$ҸѪݣ=xrt|Y=P0ٵԶ#FrZ$JW ɒH6mk[1;BK;IБbs#eʲ 4 a?& Ծ,0}٬о(xM;x=~ n5AwbV)3&d?p Ρ |`͂A8Y<8t;v?"Q~kQS3}CDl6Q+&w(W IvQbs"vb'ny|vUPxV9U:h0/WxJ]r e ݈cʘcPn#>A>5xpd3r?.s-TEC/_6S ! ̯ĥdo%|ZM /zO{䢕=r}ۦZ9aPSO.(ېө>U<6l`W-S1>^/lN>9T+8@4ͧ6[bGڒs N E$giZE2?FY|!! 9qb1&V$ #U [:y8l /sn%k p4v4NhKit&v?OkW -4yW#s[s/x#'#fY=p36\?*]!'pbҪgψN?#v6⫑t!O2H8AG*/Ohf T *DgPRX j,6w=9KxK;GR8I\+U4[d9̃gs S18#tìD FQi: bdQ ttb A4FưYX!H{8ycճx<@?Rch%%)!GA$3oE ̱#}yБG#fQ wyX xxѧ?qo/O??o~}yO׿׿/ tt-Y7m g1){a2ߴr=@XBN70n+~ ŝLFqep'yGA;V&7+?l@AMoyOg:h%A9[a񘒓zVtbJ})D{ Lg)\-~uWr~6:5MnVE1pE=5E [̿>2uY|f.Fh$6vsgݚ(FE5ʎ<# 2tk 5eD!{gKՂ{NR9+*z>-bfD1Fr_-%z$:jg$6+W9f'730DIv ;OfB:l ?Vy1:J|_pr*YFm0d}6 {k^1xzeP#?Xj$X_G%Qi 1>7tsQ*}'vr?BPunYljH][2!;=Q*>fV?^>&u :SD 弲֮Im"?~N6CMozzShKÑW/4ޅs|2G\- Ju],"t*I}אMFWrL+8ت.W9a `%㮱VzN)gL^QX9r ћ v+gn~e!ѩ3V}*Hsז CMCB2&t/]T՗{G0ùJ{;6F'eldf6~B z!> vrC1]l6jٷi/[yIr$ J|Q|vlN_Bkb#=XD.;ѕmvHt̡N9-wy t%NWBCAW:+39I.cּ->a10o[}m0.cGv!*<$@f.45Yuڈ..I>C_}vy~OFR ?Y]igXܮ8q2 ={$.T 8(zww9tJY)(z˵T%aպ2~t5Jjj3֡OWFٱW=Nu*{ .)s3:P5G}e +ȿqu໯^7LC8ӥb L*y|??0ɔY\H*@9ə JH]z>q0Qe+"R)7ԉ#Œb1zg#P!/8;mrFVw˚#N>v{r(Xe5:N]1Lj yG7}L5:=zT۲:@Rhkk*Mq~ѦZ /es8p9lwGAPZ|2.=O Jk`:+GBhs/iUn Xo9G^~OGϻͧqoͳ7/n_o^~mo6Ko?s.̰ǖ㿪_'paN'_1}m㫝1ίu0/tI~UOlog믿Ad, LlG}h/z|CVƶC&`^wkg}V*9ƫ9ݍ}}Ͽw/6 =,*ĦD$QYqCmTqvnAey7NIWuNAG>=ɕ;WO)lG=H\93.qp,6?6 [L6( ^=o<[+> 0h]r=cp`!%״naҮmw~[ľ޼~sZOK[1o9~c;%#=5YgXM 6ަ;&-^Nj=av![D |Ft}x)v9$tNs0-.9I0粤E&q_޵ o,u7& kQ|h!Lh: s$b 6*R(IYb9Dh * K2D:"rII1a0'ڔg i3R:h{쿍,'1>}`I#G|F)g6ʀ,77g`iU9Yd@M4{^aA%2ʘ͖ˮ!$ƂHa-D GeÈ:FeLh]$gUǾOfxU^۹tpwΆ&&}lsC 'l/ N/ɳΘĞsm#]KS[TEAljf00Ӌʄ6!lࢯ_ r3:ڍujKDŝ4c|7|vtk^OP fa<ד;@Kd'ަ[Žh"\BU8D#–|'=?G+9\h{]d9U~3ȏ: {x߰ń˯%k-}iIElmSe&x"BtEΆENr4|o014y3`J:}v _ %Vx#1P`<3^<(6)ccՍjW뇌~ukx%}O񈷰/yDpl96t |ùDd h*i&a8Ϭ%Fx vH~} !F ,g; ɨ}/#GP[/0*r,7EvOj F(;/'&7#]A@%Xtr_<?H60 &_ 窊1s@Xd{?Tw.:^=f:|{lq;%gە&t{֋[fچŠOyKg|x7(7LA92r(N-{jɻTw { U stf4sT݂l}4srOuGC 39MbٲdYŏ=vDi7<Չ3ڡG.Q7lst6m?/#l+Z֡KrڏfTrLGT_سl䋬d~`|z&kBGmj>F8͐MݾlfŃ學Ѭt^?܄}n_+~l'}n}emU;{e]&c,}5.g}>ݼdXZqx~y h0h"-73mr=:Mjox Zo Aoj{}8+-cm-\,x@y1so}t(>WJ&|yskҽ̯~kR+!(bڜČAov4&L y%1i8!̚>UFDΧP/LѣVyONDf^.y#3e%D}?8ɮj㹫'V4Pf5kЂMtnWCuHBסס3Jj) 9/gRfej̦-) *FOEc@Duk$HP5 X JL2=dXB  J7=Gz2+ E|hȡ= F)*-AgY+鴎VT˛.x v4ѡגiُQ[-h}m]i| khh ʕ`Qݏ91dYwzӟOA4\L ː% 5.-?8sr|4J>*&& `׽BHH@*%*d(&H ^ 3?qnɉ.̀< x1MXo xYp4;*;,3y~Jdmχ Pe.OܳYܨ{k'sn;䫃5Mn@`G-w9˓ Nj3R'/c%7Ӭ_&a/ 4. {_MŏU+S(/蜩{bA+OadsFu%hq C\)8đ,q* K@-β8ߨ,ӻzɞo0H+ufD]m&U_mH5G( Zxc+2mf\m !]q<dP|+ :!2jUl %Qw5ԆLi '=͉*E0ɔ-7| Y5{5.jg4ICj'l#{$R@%]ڀEX3;hF “(xcKA'=ɀqfcx[۹0t4x+@# }E{qc]c=\'gúM%ә>"6=Ȁ$Ǖ%NTuD>O !uK,cxh66_ٍh$(98k9-UcV[pNo}74[m<;^nl+*egVY{|! N4SPWLҖӜ=*K<o!،|3uM",-dͨ&  `{cy-) Y,F1C\뱥fXkij~Ǩ'Zm?tQn2V(;:A6HK1~[~6WwvAE<~k/"5}Uk:d Yvgr`fw;p^Utjrr7_r`WX`f3V7 xN \G[}Ɇی!?C/c _ۦg2wl_$+xs1^gG噝);PzM}x W mU+=ބ=zvonUbu0=b md/<,Dp.,~'^2_.E޾.Y:ɹ-KL_, dh>K_k6ζ $Ѵ p}f̈g bSS>cnN#ǟb:Zh]Ⱦ:-xh6K+lʙ%Ƅ8;uw]3wo貴jɫ$':fgمv-H;T\cȧ%񣮑h*f `>KiE ZmAQ<GhƋ O<"y)nw$$w2Ɏ!Pč\9ApŞu.i%4Y2ZB7u>O$>>],:zF?"niTh|b m+}ݪ‹Ӡۀa1i> W¾7k$H<7,*vl5Ge<4 "J\4qv6;Wإ~"cdtfp&JG0a?}WkY{q:qdNP;DŽv1tXйD1H.IKovVҰ'chi`q pN9n%Y-GKr8ЊgڲyULh'hACE̎pNG?6;!3M.AU<8ʂG5zœ sWJ~PB|)ODLI)ۧ; !_l]G-T}uνS 1`@="i<>y xdfjy}cSfv˿毿uş*W| xꑉo_> S?dw{,C"I7M #0@|w106aO=m~yO?R0Jw|nRJV#e_^k/>/#L?;~eIgLDq{Pn&DBR±C!@5AZ NrOyo43xna%b+[m`XSsLB&Xv^p1 4LqCh;RABHaK0j #KD f R|%ea ffS3̌aA-v7H6/JMzoʞN9'a>|MSҺs+e ;5ZFK sZ F5Jh'PzLKx7Řs^gUƣeKJdCDqN z;g۠ˠLk83/u7[!tS@1h}𮝍 Թ`kh$f|$"Z9)so9d ?9AEoHh9kg(1&4G6Yn1 Tτ3o>0/Hg=JIr Uf|Zk<_+/tIf 璃|Â^_Do'[ru:YDoZ4)w}NT>n'C?l [8xWl:Lz?߀O~<~rς dOkE~*xlwSmؾ}"8g2 7;=~(G|Q yM^ܣd0<\ "7CR,HoɨkJ=+|zKK>) aB =h$Sĕ#|uGE&A4nmlnAJ>WΎ+^s:LoPʣi|-o# 5d Z6=ݨ5^Ꚏb 7nk.7L|j ,*bEP-e9.x҄Pk{һVk3?ꓨ*^ (8(F'o4%CkYk]sBH lr+CZ,FSfmݣSH*`kwvw+x!~`zCr6e&Pl!˷qp_is:Ӏ_;{n>>pBu!%seٴx'f}d@^jt6ۻ ˻HzqL\q{Y}TtfB: 7<2.l^̂uNV]Pؑy41#Kǟ]~cZwuٿV3 9W}i;7 VoDz2+d0}jЮH+Y^&~U56X>5^{DN0mZς`_u[U?Ǯ}q:ѻ=(7J0|ih 1ҐIu2F=FrV7$lL^M>;.kjus-oP,:ob2ݭ:~>j/qVˎȇ>AcAJZNS/ ]_xv! SF`Ha`r o4aD|.XhK`c0#')." mʠ㌜j\?|-W.lᛳh 9ױzv{􀸑prAwj/ Vnd.ltr]5$u$>(ђ0u~0,3#DLcDC"<0z'!Q;Al?ˢVZ} pKt 0K"t4G=٫Љ#]΃ɜ'O`%/"ZS~ MtnMo狑8mXPxuxt[&/2M,p2Caxf97_ ''FD\V[]tZn~7+x̎ g, t1!B~||x5 O=f!!ki WϚu^݁,>7\/k@W6|KCБlȌ h@g W:O?8/g%q+w}$_Km xhN~Kt\^=؈I>tag{PN7'Uu*]eޥ@@IDAT(iͼti(Ҵ^gP* YYt.^ Ks`!rʈ7]gN%.NW^LmDǃ}'xr!^ eL&;&lVĴ̐'i i\;$YO-ӆd~3^y2#Z| 9IY@l5r| 0hk#qNkk< c}5FfOMksy}avcWHlX[Fh7 ֖>3C%ɼݐtt]] ^?UOԇ?}6'P}%{Ql$x#FV-ܮ Õ>0`*y y~F݉1`Bb8QLr6'0w-yyvϝ#nUY_8yԠ.U T%:kބA : 9|͕N2q'87cDA  ^fXg (]w-#~ "{};6wI,;j<98` <:r 5׃?9! vٰSn+ Q1?Q/A %"hp]@kmnK/];{Mx"Sh>ǧcz}fAHIx{>M_HL_n8v\Jɭv~`O'*g}墇hwz3:f 0rѓ6FX_ 6C|:m1XЇ>ɗ{3#]$ș,A78~p̒`t^z̎<>M]Gɫ8^,[|x՞Kߏh1LWYM0TqZ-cˉjdSxq/ klґO7mЪ+Wo>=x{l?c)7yupl3l9Meq:=ױo%}:Z3xO<^ `I0=0Kww,1bʩ5^}tDU`/qՊfY`w:{WŚ5`ig$ ?6WpG]$e>}܁]a4W:T_*ڙQAd-Y:k]B[{p3jA'AV.-ZreAVdv['BviB^- 8eɆ;ROL FW&0V1HfҪGg*=p4W%PpHՙS}Fj48m\] Sbb ؽ혺P4=X*[*6͘wQܡ۹i =2<>-}$xb]cUvl Rȶlء(&""wv p?>j2lDR9L2]]=dL쪺dYZ:V]D_2>MwH6G6'Zuy|>&GRyu>Kt‡CebH@nVz}uA T; q;hEr7 \6u̮$k7h6>UPl,w+ c$=s`RKwݳ?aG!,oC;.U6> ] V?]%ꃃ ETkӑ{[s"' ? [xL+9%jl;h8l>۬9;,}8VO~e͏y:)ܭ nhY0<8>t0LRkHuDg3K4h?4 =]Z2!{ٴF^7^BXLX:*2y{6 Wnwlwxx#$=]ܘOvAaZ58Dsa}JF5MC6.&>Y1yFWPuG 秓}0g]J7BO|B&9&۳Ar&ŨAmco;OwΓydl@=df.[$cs5X̿ Ƅ5C5|T uMC1?Y/ߤZmʋ[qTY{eum^I> [{T+XFlwoyG,&cq p$ɅsDpy_kc֓|Mɐlu~ =q]|vfM޳:_&6&|܉ /{x2Eo4xI,l?z3Do/>2e(6']?rH1{d F/jA`[sKkk3H}l!_4P2=IKJ󔖭ζVK);>})+Yfp]6@po? {&jq}7I9?62nEJ npv=ob}mMY,<0CEBw-doދxM_NItOW ,Y_stYΗ'_< Z]7ܗͬquC7w4F1Vd`#8 @kL.Bv.N'Wkꅓ]1:cpO%8y+*P .ԙkt8cEhŸFhr&If% Ӗܬaψ"D%;xp^GT5@x9:tQrT.)#%匬U's>$IFH$L#xY5z-o/mNTt"B]4n1慇-i-aKX<؎JYJ n2^Ҷ-s]Ʉ㮲4Cd3wp[M&諌Qh- Weϫo~S9\#au+JdN)xfw`#/RADi3`܊+ 1N4O%?m|JzIySBFG60"yvB$xqj }Othz;fkl?IH]77=Ed)^T9"s%SDþlpCaqNLڬZ 7:l(8Qw7=Vo"vk4IW/h} pB,/:U=$$bb>z&*w7wm#} pDk0iy0-=#cl<0E['~'Į=U d_ 1l !uVIS",U=r_6L&Ư<9WqtsW'}#^xE| ㉸0O.=?N^t);zN!;NO؊|>]ngs)"TSNڄ2ɣG&ʊrZN@:s*ll;` ^gre|j˾o9e+(?.:U{-<:|ymRJ^f@kU{x\^@OfW^RYElO'PI?tlMREΧzv<0[gp-"o7!H {)/$ b w{(}TwtmxHn~o-O#_C P\'i[ ɶm6?*^ؼϷ*]<,j6`?e!UQ{|ׄOme]n]H/fd=| ϸ$de͖|:ӿW1*HrM `<~M-On(>+хUN6A/π7 z{D Dz- 7&_UctCo.BM^k&>J[Bы=ޘYtMoDH x+mm년Y2 pF08_{凵 dW$nv~:ᜲsY)4Z+xU`CbvsYNJ5z·%)I]P˜&f vg H#~@ %"KYLvrdC".!n,ٝ|'J0gE*3b挫Ss! uje8F`g ?-o"`$Fb5-_ !8|dvk/GNY%(}^F97G:2D`_lXc'O2,842L· gL2WZ%%{S.峌,ouW3f0`K9wALe>z@!ҹL;xyO d 2Jg]L_,ܥS' `3I};ǑDDx=;KJѰ*0SSɡCgnƱM7nKHbmShõk^@M, O.Uc׃<694{X;`1)Z H|0яNfw2mѥ ~Į- (m~|<ˆh/`s[_|w@x,6f0].z;fC'lK2 Q/;OuP\12"gϠZ܂Abs)GHq!jI?t?8L+ `DaHL^vlWGڀS9\bgHlEW8U,F\n:8_>Yx/$G`b-|0=}鉇ݤDPZ͘W\nEphK]g|Ba":Cp &}c$K9Iixl_^&ŭI*)La/m |~&*ikv?` n |q5S0sy0H~ć|;>eoi=(wPDlЯsvy_LRO˅'/,NafѩHYe,08]6uA阌%ތ m#syb*#ެK#_hp쫳dCׯHW.]w&k#~J=ӝMj Y ,:{'EyEmKdZ=;\i}[^R SOx&_mZr:VC ڥN?f٫?e`I9ڶ玲W9~9ї<`n=6r:w/U3܏_zd7BALjk)$hV{@_ )+\cm86HC=fML\G`e#1b&u5X9f}w!~r`{|z>~kclR 8D0nv( HP./ey n ?flz VG v4YtFx$#u>!Dt0J9fi"_ sE)(8j;lY%<_ob7Ù9zP!w܏< z:h7:c[IVnD3QPhOM::ggRY,:a:vBV%$/ȓj(FG<]-k =R]6-]26sOSd!I:Ȇw !IqK|.p?HP"᳔>_qCK(Y[ fl10 Ӊ56ﳛ5wf<`G:eXM6_hY]~|tzm|jIVɳm`zk +y2{'bW8~ %cЅU}17 5(}̇l }fvyuIU?>wɫ˕P{РP?f|Dd7\쪺l=ghDQxZ}Ca5ފvZdž3V Gְ[:4vTwtq+ 6>:bĊ/p|nr19}:f-Ku6(|v$k6J;ew7>,?4_[M=+s%Mh8рIt(A6:ޕ۵ʧo/&Uo0% ; Ĕd.1JL"9gמlŇetLo%S2^'6O?9Ξ\p vp V* 1\pɣRtֵ1C>רvO>~r82)qjgFӆF;.4~kz'pr4g+_l$2 1v,/G\SO.w&Ť ,hTkBK/$Or QZjFO<ċk;OMٵ.[{6Qq\A8Rrg}“D̎mx~;߰ ]x뇛͈AY]L39%cmHnpVl ]vXXRY|&k{=  W_+߲~HX&/e-X!o& Ygh"-aqǹ*WБܳ %VRӽT o-܈3P@x @qc?cV+`:{, 4H.›L2sGnԨȰ>%D]Y'#>ƷNhX'|8}bz|d@_]Gpb:&F,TNBh`7u`:@/ >EީK55ѽ%`󗪐|,X^,`ǯOB@gF5gu rv9 筺i1\]MϞv2tZ}~m0}=R\f%(1 fan~W,?OQP8\~ GG Y8 ʀ1˫$|4 xK vr^$+1x3ZږR =?BέnpxLAݮW]c[BWJi^!3aKl|97VEbCgbvplF7k oI/f@{LH}w%w/ԗ3wo3za\ x"o~I/ԋꡯ!챫(y[<ſ3uQ'yKъ/om:LIՆtV<+EN94@˙vc|νّ2Z̭~6<,΀ T9v8y0!a TC琤"*p aJס٥Ք.P`83ƾYۮ1H9D)zWlFO ;Cz@P; _AlPrs;'hE^} {uͩ(݅kr>d|H$ׄ %3x=˲XVÛ`O6F $Q}zpKj= ;Xā+bV4 a+- 0ye?M}={x`wcQ+3{4]"9z!+g 5Tm=ma# x<%::|"uPY*six(LUv7>p+0?hTc3TK|)|_pww\J璞-Z+gct5~:ԃl]2\rY"| ɝ-gsݣ`-!Q<#g}[|V d9{.>Rex5[̙,ٲUSe68C)Ƚ:y_m!=zO m4Hw}dg?c^Lpi˟K RAGW.`HFt}qNꢣ3X^':"]!G#dٳ3gWywl ބH1t?_Vsq_0n~?Xt>UBty.3~+@mԳ]D-fsƂM~YxٷK\@xf\С{G\}6w^6yÃWڝavw'ԅUQr +tsHW4&eg::%V1:#'?.Z'bZpw#DJUIX8GO| d(F1ɻ7T\ 2q`TܜzGa0FpXlgNg8:)zNk ۀ{EBplʻw{Kr;|D9_l[܈rEվdnMcB)0ϣ0{\__&bOсtdb\S;CYMFb@@K\:qKva댩Ob9f#몆P c|2C<{>=0:Pd:}d]47sr6_j 4d䃌#rVT(\q>gXl"}zB XI> B7C~xxlߵ#:ˡmdpI&p6Kl6٤XBmLN~aGAu'd.kvN}+,4oZH6kyy)C2IzvzU}gtYv6۲|Ak(# &'DuG[mihmzdk*O*+j Ldd$Z,b6;4i|^˟yp~n W˖ ?o{o}Sz '|{%mHIeS?Bdm+?s,F 𼘿< Ut߲'(rܮʳ0@Vug%Rtp8& PzV2)ѱ/WP 5#QW:0N єD2.(XmrC`di.Dܣvq>+0*A^ `|⯟(ՀH9x 62>>Gf`7'#x owe֫_UɀH_BX=T;WHsptkٽ+^vŋ|~iZ2\,$swگ[y YS[S7$1xmdhEmo>1metE͒எ8JOJڠ!ff^G'=<|xȧV_˿k7lշ3O?7o7^"c+#B +URo7{U8 m&?ٛ/*܏,+Y9 7hG߰7 v?C bU h.i]{N ,vQ !)Kbwb$pI[@QG~1D$UKvj:q,*kDbIݲ=m lSZ;J.1c ex3Fne) ktq"0+~$>^4\:t|-:Hg9~ ps }XoBK3ȕNaL[˰OЎbhAᘥe?d0*C0c5BF-Iߵû=9QF#:0܌v;CAD\d6GˉlrWCvCT$ZGS(tO/*ӕ'I#?4FWDsW9qX+KxLD#WkȃP9ѸC@evC7|l/+|Ɏ|4ᲇ%XnQ Gb{q' O%?_E{`c2$ZIr[4iC=ZlLχ͞GO!@*E^5饻)pr:\6~F%|k4cē.jt>љ{چ~{S'6D)bMb ړɁ|*imyTQ&?m6v#+.m̦/ QgZyp xLSs]`K8ALa *iP %ӝPsa0{|{ϵ2:JاY` ĊX~=rޮe,urM`)}08Drʱ4smpchI;E2N?>Lo"[zF4hAO-<^6v3+CMxk;lPQٵM}x=eoz9ՓV2{ ,G`4ڰAZ\D*Ovl`xQUپvx :cPX0f~d4y|Jr/NirG+Ov+Ȟ}D~t d<"ۥmW|_i]N~ t+cXŌxjT&oĻ.ˁP[12ew/'')7^(W?xyifkCjA`ua.>oSyZg[E!ҹnu6T3VVFS%_nFخl_R~VOo_lEݞbl6wx ~4#P-12N/_ '|bmYm6]|J&# nA/hO?g s` _,"'3lׇVۯ~?7?hzn5}p?޴y/?펿 ǀS/ǫ l߶Y MLz}c~w +ߠl 7yJ,MsD8,9 $;UxMVUpZRgy/F^ ?9D5\'oz@WwT>H0Za# At?3s61w5>IO::0:Ӹ*ѧQPsowˤ58ڳU]҃ H9b@9wxsfm\u KeUm^b50D hk1;Åߏ>[S=lDz x}h[m3W:%/&!*2I,>:s9Cz|]hC1;U('d^M>^^%J}, ;(oU=,C`}:̟Getv]5o p7 zhFLڠ~}9z>ISpv,x'ŀm7 sqPeDF{74rpG?[ص}BDݟ}(#B;y!xَOrySA4$s&[<](kvK1 U^<[[+-66V*}.?ϣ}6.ZxǗ/>4],,w:oھTYKugtZӫJt6n)7T r(f*䖪,6J/uӤm;Nt X*TW:7UGXLPz@ z ~p'o>Fպ3Pqݚ9Z"Ϥ5菟/^P X[,ń.vt#Yx>4B97d! #|hTЃ$3H#c1LehHo_t] ܱK LpQ1;:x疘So>&֗N tU; p qQW; = 8'llWlcUeh>:b8:uUUZ2W;>j?: ؕ6܇HvG@dk~sh9/@ޖ7ce pͦ;3:arKC'^ggaoꃕ]|kp&}YlӠmN>.2 '>;v@nWMT\P7L~ G"" [p$cIz8Q@M̎X^IW=I:O+Cn"foO>~po"+`*ʮ0)&6q4_ }g2%H~r6ɳ 1a}Gtyꮲ9xW.؏/8;! ˞i<oO2] 8YfݮS]R@ߴ_y JϙS 89gFwP3=EܡvP<_ (A~}z|eqU]ѯ@yYE |i>p=ɓi<)Ya0C*UqWA˖gZXݵ (ѵoóO˯;,  O,w:GWlqǑ@Y>A{5Z!vocrr$' E+ZEutCk[ ^5_2P|1v+Z9qH`][ taFk ^z+RMVv&xN'wMDW)/ژXDrpwϒOƨ؃%Gwg|<::7ɽx= ?>-Ϻug5nd VPGx#xcnhE.$ǫӏ h^tUq1oNŽi65 hψHz9=+;Mws{F!b ymĄ A6.Fr*Nz#fhvȌP hR|fξϙ3]_Ȭf˧69 DDMTR&]?&:[ZiٽϜb#KF$ƏAܽ8aXЄwJ3}J2+eλ+29؛S`pj؀&IhHNFW0eS9D:h1KF,1ʨnkn"JĦ np({y {K!>[U{rc: 76ϊ.\z2AHOx֯ϰ3 wj4Qڐc0fm2sU~;7X'#3LIX&A ~BxhIɃ,*VwN诸7Ѧ~889Ɣ&Ƶ# Cy#֒Nth7tkȲoҬ'\63kk׶Cр/H o5^ W^jW?Ïs 9-EmЉqk:d)w`&ޥv|TɊ]|_Ĵ"q# g6؏V6H6o0o#؅K$Mh[[)hͶ#(mz@ n)"ZZ%Zi^)?~8ɦOvG2X̽g6>;nxepݭ_b}1( nQ.{ )O>5hdF m? y,>}(g*]>kO> v&K/jE#S *,$zh >%I_&^\ܸBxפ5 *$ 3'wLoٽgV6I@~Cc$r$[/B<Y#7)+5:7õ>^yg-IC=p+\kG$c ͊JDiGvsYzf 6ɨzr6O{pn@\S稄Av[/ـFF AqzWJ_z qŻ`m,(<@1T0P2Ym=F뾏R1r}\zj@s }h/߽[շtH۲Sgh:%Fw7fDtlU?s mvŏm~Xt_{Ru8)g&7-?Zp=j1) Hmd.h;\lĹ姟B # R@waJLd,*vd[اҌJ6wGO?F;Zc7/2%Q*Ľݚb$KlII !~NBֲV28VF'W`D܌Y;e[կ'ׂ@g@=hRbfmClItIr%L&@zf68 5qz9d.$C-cРz, #s'6 aT~Z-2iҁMvMMyЪBUfx:<#3cj6 Nd0?>4yHgp+c.1z]⪏q<1ҖS %' |VV!x('af!o?m:&КLWȮ | @giPzJG7<NǷ 6[Q0JgBů/59⨺tOO5N?9;QO'$,|e&\ϰ=\eQ _x<$SWI?#;4'#:Lhmeg2d{D\pyB4)I \/Nlmt~r>T#We;L~.;c=2%GzJ_n rAi7/FqKu%Q}7NH]U}{+ʖc?}|+Д<ʈ_g7}9]qkח{ӧv!y}P*|o]E|o x/t|~%gI x}Sh>{yVJt|[]:t|uL^&8@ח$HB /K&!e hIl9ؘ|m 4U!W8Juddc:#r~n  % {UD0R ~dLjI,'`M 5p>Muqz%w4=[](lwe*`ó @g]pUROI8`$tq٥lWr^e;萳[R59+ U㱍x 2Sᇽ3I]$t9wSsէ17Wׁ{mW.QQ5i,+v`PFW~p2rќ62`W^N "i;;j&o04zfsw&>E~e6I)ȇ>?fvV+`Jǩj;&ѹ˶A+Z`W%5UFcOѩKDt`N/vg`slr3?~E#%mwE%<(E{={Z2Ζ;NU*ƳBXYuWQM!7`ذM^LjlMUɣZGzD|0?7y\68eU `E4T`hCYoIZgg:N슑 s8 L>5^g!.NwءxŽ0rv{6@GCZ7zعgol> v>؝~*p=}L0kj|_>͎%pgްd[ebX=hpѲ{XZ=lҧG>c1iO1+e 3ĴtlʷXA̭[II >D, [vbω%%KHGW+/Jǣh٠]'y~8#fc.wĘt+w  ;Cww]a[x`&/LZ`v`Xԉ3q1_3L.~gld/Ń26}l~Nk]@ޤ4/똯 &0s Ֆnwq S;aT/j}Z܃+FC/b_gLnGQrףצX$D_Y0rl^~Ԇ]>ՊvF+_")W@w0,ΨWDUr%li/!D k|JFr'n xh.w/v!8ϧWګa8V'bN^v1ۇ}MD6~`$P/>Y@hʯJ}ک7񓧗'?+Q\mV~;0?4=}OEa|Sɣ;]^|lpktbX5xd0{]]m_m{\;f/ڃ:=w-]7I8>]_:ˎ^_JH#Sǎ>EQ<˭ C'{OV0H˟'sxZk,3xWi-c|7V 96^w=ko_&5hsb8bj>ui1VRNvxm\HF+IwFYl. ĤgtVl-V_@s7])xs[ "w6٪1%-]S-k tCmK,_zYlɒjNV̲j_lsfߕȜufkoEFt$ }K~qlt?6J Q+FxHO:21ᡲO 57oδ:{dr¨Z\t1xdd**H< Ghmj1,"91r!*a:2H]t1O'7 b d֎@9R-.A6TL>dUW q^őLGukw~IW6"4ގ/-@;9 5"nvvJl h?I~%B8K@C`-1.<<4, Tt% &%=ߛZ.|(+b'js}ڝ+ړlwHGtb~7Vv߉ym-h:GA|O9Z]]eUy+}x\~Pľpn0ނ%"dB+~g@>F9x*V:q28{m:d3;lħ>ɶ ߌJ<x)V;]nR|=t4&T𾰅) :@=9r{WU_WƲz|K*<<=#{U_YtMb-x~t.[2ny@wߔ<ك >NIp?&J]P*oW%ɹX ;=Q$ yō!o/ CqlR*v^76'<5󟺨G]p{_W!>^y~|xRTUZ]H/g~o*^coJ(˝P`2aɆޏyOS*/[4ju华ɉ~ح[d{p􈃃d.F (E<cWb!;x582<oO Jsz%66^t~Bپn,D;Zt#Eq7?KL9qcKME^=%hdz[9G)&oW-y&z[z%ɓ 8N:q|k]!U!7aa x/٪ hy3[x.vVFLÇ?kNrL6q_:4. Fipg EƗr8&ryf[m<DCWN||p,g 9ebqhg]Hp('9[qV:np[c'3WGk<>Zhp7>-o0y!GOW=Ult;B{g~9suy Km|n+S?noOrWGvю>j 䚣گ@?M}\_ī"ٛ(؉?xO@-#/4p_{FjG5U~e}mAnzAq p*Q'|99dq<ݖbCZq_ Vj*˳Ě|“Cz 5#ҕVJg@8*{`C"n-c0Pwśdhӗ6ȳb#Tx} mC}F~7s6x<\ 4vF4/ճSϻe&nöwt grtKB"+\)YOFArCP$~䶹+9=nKtRod·=#{(wWԳp)֒hb.c2U ٝWxw(&O|vWA^.Sї/_^ޗ4p۳) npO7=p(7M}y4:wJ:aqke_(yЗ7-Fm!>NUN<2dcfVՕ>ڛ\1{g]o 7c /i4mv+8';tNg دLXgNu9$$"=JmڽّtTl鬯XM?Acg7;c  9[)һ`:%ѓwo_mj^+Ŗ@?6(q_6N' mbqr.94V6S" `us}w;Hn'1t>>;zS6|d\ &;g]|hKmp`;8dWvk'˓bQO l!6o\ :Lh&Ɗ< G zӪ#V`d?2=b'w&؂^BaYX1I6)&^n8Mbڡa91g|9UҟD*,;*ّ쾸s1,>ułJ(#c+QlC[|qЙ $ŭ t] t8>3NVvOxտᒇPleS]_ȼdh{\^W8<7[Rɳ{w?-aVN'OÓ،չ3sWѢݮ´܅ܢ(US~ޙacKmtYlTWg\U]rtM~xMn`y;X2 6 ikqcW͍-ōPu5`(QlD[ůIs^D~:U~q+wh)v?X]qV kO-89ll%_D`𹩱MGtzÜOln͸ =.>S*LW?g4}QmдM&Gv;l"h iB[@:`z+ am/wX 55ɿ_b M_hϯuz/݋n FC}-/~|#?$mTIvS_cz<필ό}.~-ǯ*IXL/C [$ =ηZ6^&WE ,ԃՅ ؀ 'Є B2.tJ=;!|Wd81fɉ`3Ί35}hPpH$E1sڡpWOEP;F~f u< q,^gC'O>:%0O2U`)J걞puܟ #KVT?Dq5U9|{GDS\t hU8ܮjъ΀s!s]a=ÏrÒ[Y yjWKZs&/ J6Aӌ$x k4\#0GK(ioYYW418ʒeY<j˃ndp16脶9wz wp$ s/l{ X ]$hk"M+HK{n 7^vx3M._ ɵ#kӮf'i7z C6w&'ݻZ~wlY+Jә%1o L$ E!xE,fO)Äpos`$xi;}3g %uZr}(qT1p4oz[~Oy 2ySgEr ;y0% i&`ۻ"{`5#;u{HjyvllosbҰA0>?[S[>Eb`R,c닂5%CV:&ku_w.6Llmb:mI,5|ր"ez%U:DG:+..c4;V;vR'm ><O:vşҵ|_e,+zײ2٣x$IHD#}T*xe.  1vƎO, 7'j%aN5Ĉo~' :w}C+*llg.s<ڈU"8߆f'f I'WC8xRruL߀pߝr>GxM.!`!M4_C,}2}+? =28عC;<9qlu +,MGxhS?opg瑻5#C~tS,>C'pE4+8";.&C6;r1HfGV$z3-ֆhw!o-Oh/Wu>&{S^ ωl 4$W>t nU#Wʆnm;0*#:i"vUU;*#zd4h =TG> <$Wr99v&*ҝ@IDATB]@۽9Uγ/_[lH/#mvT'EhtE*G]VwCVDc66A [m>y6{-q߸29pC^M[[6t2XvEW:gC!n .&Wc>lE=ҭѰ\ Fuo>Ğ" ?o~ūs Wv=0jަR<8ou/W"xփ"S?j'^^?ɗOO~.cSB@dwv[љ ģ &.r"dmRp9b;'d||r`:4huM:X"#aK[Pth]7,ғKl*|sR^ɳ^Ll@jѰ62 nӹQtuH2 >DHxdF (2ٸzP$QvuMKnv̓$xGZM)dZաpR%0G6)`(fk:mO{RT4oEq̠WRjNˠldgW^w i6J*;O 2*;; T>گpZa-ؓfpH*VUDo ͂-}VCwTD.MDǮn;W銭'ږ¢9Xg Z26 zĖY%pP*XFܧdkuMt{>5" X:1qɠȿGcG;| ɵ/peOhmK-&lgtb68Y^A<&rfz }dR6kP9[ Y:#xhUvq:>\O_/lm1.5\(X<-+.$GKnCba>3|kzїH׮3{!c,s~4H\.p%.{۠?=DK(G.*F'O_S6L2o;+$&%}mg?{kML>6)R}SYpՉd_lsɃ+qbʾb:d>z*=.l~L"NqaL|U6CVk<5TSٲdpL8LiW.D?=r_YJ-_^n:S 7dqyWz1&a(ggˑq=ݙxLv Gi|E u g:>?-w vኙ :Tն d$Wѫo}{#L 7wQ!\RPr7Бgմ;wO7W7I~=}MaUo."<ªy6>,D>棥xT?73/GbYt=ýp߲cy(rAk@O/z og_^8_K=3cxcKr=CjZŴ(c?ՈONT!kƳACCV /wo/gOy+t6#N~w?v~f>Wo_]~?zs>}=֣h*f-±EQ4[n3*qDQ'is!'Ҿlz ׇxm:&G([<_ǩhP$A=g W VğqNYWѵOpn.9A7 V8,:˷=b nmО%>52A P@J;d(G1o{݅N=GS -8b3dA2DI\ _`'×5@ Ltvp¿ h1Ĝ2<: '+8 F 6 ʓsNQ~ܫŌ[:bX}$%ux$V)G˞ 8 Cπm ⑗ټO@e\,ɣ e(db{t6Y\"}>udtY3/ K|i[tߕHjI9Fbf^ mrcl 5;IPR2$5qrDLZ RuDR{l=ʋ 5 %VaF Q6^9$'~9l6 Taccd̨g2ѽN/zI&|4T%_$śL B ;F|~ϖ)EBp^zBŋ3/Hd0+I #] fK,_mjP܋9QX$eIzcO5/XUO{g:TN x)]G2:r5axW_fhMF1]"=3r]F=^\tn|ȹvw.vբ; ٯT ,Ucjx|J q&>0j}li|r},;('кsY4DQ (8khcp__ix Om/:1>[[!YP,~n9X7y+?y(ONF;8(~g/VkEWm,4ԋnUȇ L\я&4/G=Rd9GwblmVK3"ܦ =}GM~|@at9&Kq_-Av;;W ~FBmT*awٳ[hl%x:y̑NAyr ΠsͶ)ip:d.LLаVc܋sW:o3ɂ,] %VC-O$ӳ_:f+HfU{;}57iYq`ؠӖ ͞-R1LhC2 MQX:Ec%~ * ]:vt=PչҰ#5`m5IW&va 1Ч4of:d0mu{ۇ 8MLYأ.Rm& mH>*]&&7{Ć9!˷D5^DW!il1%i^kϖﶌ#N&c4bJNGoz@֛}syE9|QO6ni Qqb?ƛ;q}w[W >6^=]xtߵrO;LgXb@Շ-nmi􃴾q_0&x+a6hM$Hq<#(wNpƧ:&pLلL5L\܀#gb*3xWkeVQ  0ufTukWӄ_ctWFc|xV19`%fSLlߺ2L.|LF:+𛸘A(P=J5Q!_O-I#8:w:|:ЉlԱݾzW?48,^l>~I`UP>lv=(Xbifؔ|qɀ 99WX”I&!9 <qKC4;ࢭmt.ğf"}v6j=<\1 '+:z^e7N#;cewsT]Wɳ ։ 8in>P`7apxݧtO΃L:%f ڴǶ3 ɄhXeQm~"#>}Gu0MfRuEphy&!}tHKτ[1}:O@w( YʁWٙī!glװU(^XRrxd[428<*Jgtd3YnƂyɛAjى j$yI`rpu瘊۱qGG(~4͈C>2WcXz;wE8ܝsAiI<%wb|bz 6j"$y8#Qg[\:pܮXO6:h|>cV|՞@L%?Z8fS?>] GEA t\ө t3`;fK.so -M;EXAA9Ԥsbj} P}TI3ɵuL#Ag~d^y6b9h:u^]&vG_)طE8ۉ*i6v3Ԇ.}FG٫~P{} :(!)`qa]hm꒩#e+`&`+?y'Py` qq#>m[fE5VFHF8ڊo\ tm]y| *IE<`vn8v¯?04c}@6?AkLN=l+czD$t03W7$]=}ۑɳ}{V{?;WsnV~7*r̫ɀ݇5MqN,jeJPNxsRLtz-v[UefprT(` }*}(Cqx: W6@.\Ox҅'-e+d!#>Ew>Euᜃ\9;?c.4y'_r5߫ m=̯A\,w(v0_yVUAyblX_O_>P.%:V&g&υt[`^m6'S6.J˟}Kdr7p~s/wdpɔM.6}o/_}@vs~~-ynxy񇯓}m*7N̙'QA#!-'v' XOO?ubLEX՞pwm/!jVd/">F68!mVe9ݳ@IA4ܮA,CK%oYQ8oUm[2h?49aL:G]1zk穏x8" +fA8002&' )7|oȵCo\u0?/_QK'TI1N* jC@wADV:olihL*Ɏ-l6vbJ#(_ﭓRh^$wK^9VwL{fm\ulJnMI999b4 ar'B?6oGcJe: \e2۹YymٴQ{iMT$#TS'!f%n51~cR}8>Dr&=Tx xI3F`<܎7V<&"B$pI7ɝ&|?2ckSL%' ڤ_uq+^yot~'iyH)X0yWwfɦw*OChPp @OD?UpE PJzm2MciսsMMrD%Flزpp-_q&wN|"!I~G_%qbpuI83TVqzeq}{ؾ uL;HY)ȋvӮ$'q&lDK-ҘoP=מ]y1JqG ݇ H^BAyXzr}X4gU@䵉U s\U^4+FnXa |LLG?XWOv0F3'fKF/fU@Xgd^vՌV/vO&jɋIW9:ڲϐ&#dAd['&W!m'2sR>OBGtΉ]w.ֶXp-̏b2G_O||srP>«;;(Wҁe~J~sy_>\vK-ָA+;g:N~ފ/5.kSl[52 V'F-V3=8/+v=>JTONP?y.;[n!U$듂h[~_>{{u>6}HxuÃow}3SDT5kd&=}ʚ"1lD [l1Iy4n!<<7saza|ICH9KVD{E`'_#ՇQ X.z'|^Ct~!~˨9ځ2&OĜsJuf"YZ]20; ( O+L8SaF Pc'124OZpa+Ȏ#&#~Ky83ʁ#!dK=KPhL/zT+AN {??^ksy"Є_\#!QVozLth4[Qtc@AGĎz(ql:t tA'h|лEtFy9ULP_26~?m`ġN 3Y%`pDf M!v/k"\@NUS|c+o\97VH, o:Qf l:Tv/X"1Q`me cz[΃3n@CUDk$G+'vkC5" Ή#Adg}R[6p=io3 x$ب-cL'f;^nusهXvף(ͯ'!<~ccf][l, %r-V@UX[]J: µD<k]2mǤ)4ϐ Gp,wO~ώ(Q_dv ?D;'L/rhiPx[5k=|k@NDNjoUfWt9;lw0lvY- _<ı S)lp@/ .T.H'tagi߄'N֘U 6\)IJAmtfs&;wrN0L≇ӻ>2R\a[/F0fKe񩋳S>ն# R45 c>L:4BNMO Iݍؤ4y&NG7 N7MGD 0M[JOVr zx'9" NPhvLw" ydUմ\W?y&Е99W3mchm^RA.Q˙*g8ԏIDQ#!L#hh\Ԡ7P]9[^_@ <vkoMt=o?e/+!$JqGń!TDw|N޷H-ڃsȧs썾/U܃[ XO^[N} %Og#o>+p!'| }ΤLwZ5!ލ ]p$1AB`8c-*.Ƿ-jIy:$E_^~/GLѿ<+/?vU7|/_~wpy4~$~ShVߓ.{k%&lL.3-U8KZ5╍1Ѣ% h|"$%=ĴqT0+3{Mn(Ysc^Î #Z2JXGC`&̨tXkcIKHu*e!b COg7ŀ}'TU\jemuޤ4՜ߕu*JӈhNW-4J@tnS1$}DW'A=:(C?X%כmO">ål?\u-::j25ob!9}!$aOvL:Ј^06jJn:527DA"2ࣽ+g^@/ Z:1RgX\g,rWzbK`7$I0 Y>[Nw̎'or Ikݟ~t57Ju%/f]3pr&gOzwy'In`5&L@'G؄vx<;W*-\ݕS7j->cU\gIuj0DAl0WA>]pYձX9Z6ԗfbԣf]'ġ7ےsr 6Ug^]Q(rIɽLg{?.8li5<"oBp'bJ}VE"g ;+}5t|TstL4R+ϊ̳< rbx>d$V- 4MEtm; Ƥ-ATMHĎ{=G7tbMB蠢;uٚ&6UgWڲH OԾIl._'_Hǘ3Ȕ`ͿpYm|U!qU[zۄ=}REP5-:H2R̷؁;izxtVTh}7MlnvH J ٠ *DY~F|V``E~l=|`NGǾgx ~/pU'܃ffIDAh5CMMg*AV&t?&SmՔO3xcK~>zT ߊ$?7ΣvYx [|d?.{ *cˋd(>$bixs$m%PE(nu1ƕ}Bsԭ]UϷvz xg ls:Ɇ.ϱMĂ45 [raē ld@1Drl~3U89VF=R m㉣5^45ޘE>LEg3ݲDb9xD@> ,aO=); w/f<p]?L>!.>/{ ں_܊ⱒamxu=Ў#ƥ{'\}[v5g~{h^ۦŁNbۘCk?}YehOuɪ?>)BXqU7@^P?P\_DxL1ƅ\*Sew=ﾵ'GzҜr§tNz$Vk7?t\?/~פ=Ϙm._6nspK=}=`2+3a9݊j9;_'G,fc B ,*k106n[N5!}KcK3x[ً-i eUiȕai"+`Oa+M01:>5Wk_frV=pgA G .m! 0XG?8ՉN|#!b ukË@b~sقu lIP0q Q4p3|a'\ 5y4C:"l\i΀6]1(sS[W#JT{νёwHGF*zɛ} RX72i?kw b` Ŗ8@_.GnB$>:xo /"n2vx.ב2\V ; T-:T>/8Aș[₎xbu!̉`Wtmca$[|G|oq$zU.۶1u1434x{1qR :\PĿikS|"H1&OyKG'.eR60;謾tAnkܘ?;r4G; ˵o%ǀ@;xX[G@VERP"y PGF泘y"lWBI Ufrr՟s2E)bbx~Y}Fwz39xʜb/'}f#$﫹dk K㺳أpO8d6]Si t`B& 2%WZrKI/IS{ƪfKJ26 oP퐫8 7ya7& *d`=0L˫po~?oǽ9{/۰k;w5%Іx4bjܱW77ٙ19;Vg7k~Jʀr2 a3οNj9ʞ#a挋m5zA ssB4Qqܠ`v\NS>uxVG' ԁGgg@q{ǴR1*WF |3B3خu|{)ZlbATBf>Z49g:yd\ DDfe` Sң-\馂:*ц/ btXuO r9Pxdc:kVgϟMGVmG^Ph=z q%Gz L5^{' zVc#=*f*_r9݂vRiD^{w"܏~ x_c'&¤!T#=͵zB9k(2yB$s]㯓H? h C'b>>\(׌t.hL17L|tW2u$M/)-DQ"K{!iNv:l7ٟrVid|ngx<֘)]پ%v?RLgǝƿcN!u+R:FcVYrDŘa4-f62J#dƪp~N`u?FOkpnt[Or'>dF+ WruNW`C=F[֮4g ^[ b]J:cXdt5Ô~ׁ)?# vQյ&=|dqj;1a)Z~:4CϑγD7SvN+rb:NgkDoڴӖ7IJ^Ngn/Cj^ Q&C`&^tL 7<*L1g|CvW"T2dK@K Q_FgVJgCMZy6Qv&QwD6h:[YeZ{'Zl F?vcH q#~ SpVk] t}@7X8 ɦD譿b၄vA%mIӏ~y%nlV -:>uqq3fJ)ktt<*-~i?V=l"ԹE{b{巃9ϧJG8 )w. +\K]Q쵸݋nG/;B(ӝvMb1Z1dQ1S Hbql\M˯oI#ե u֮H@ܒf&ݚZMFD=ۉ[<]~PߗJڵunlbA d{>@篚~We;Ԛﱓb۩[y9h,歘S{X^:揋o[dƒ: wڙ[/FV\{_S_P>hdjw^S&K$6 )2#)"iV9#!,(PT1 ?NlDJqfqG䌄"}+ÕMl5HQTtb;/_kxzKF M*&"0Bć@0+['Npt<$X[z^:9Y}JƂ #e[;v{`VsiLgv )zx՞/95oJ:V=->sGl􄩁X {Lӷ@Df_ ;/5Y8*f? VN=ؕ'ZuL YrJQ?B>q$9LvQM"E[4m` bp=t">a z  biWuĕV|4^٫A4Nr YqفƲ&`bro\=ix椯SN6/=@6‘ME!~=kq d K+[U*y_&H`)ؾ4~WHk+O&IcDXm/2l8ECd:Y{~<|%/z P􅹲W|ğI>:%BO۲J@}&jf K4-}p^Ў;=v]4@䆣)/-9b9u?To6/٠~kL~2 3vqGtxX:`9(l v]I~?ꃽ"&U1(Ne)sN]4YYq&+3O~>%݄LܲMJt=owF< XbTxgwcJ)(u3JuL狄ru~+Y=Q .zֺ䖶@&=`@+䰁׮K hu ALv$7+|o_>ix|z>n7ח{FJ8OȂ=o,cHZ hċ;MJ&EDn<[ZzNur qG7B3bf"jkw;8V GVDdIx~7lp0r%`ɐsqR1x۬c> Rsa@gyp n?(YM Ê;W1?)+OP֓.X$ iqZZm,5 Lk0,MSGXw!p;hy+T5Bօ-+Vu~B\FX`:x _A2F ₾_EM*l^@>>[ǛX*&'ȉtХWt</: BW+m2~T'4f-$:y'64>1#h^@J}^6R#3XSx&;|N{8y5]r ׳IdW=#=p}]?_-ksY<@B/~s:U{BIpdʐU1{YЂbp!`*ŦV. sE6:CA``tfYl0{?̞ bvSMY<r&C ZLn ; nOM%XT[P]fڴShc#RR!X#=5h T:P{Vc{y(s:c{Z8;lǻvdWN`6X cN {Q0䱧mwMW[ 1HەTMt]5UY6'@V:Wv{@u:=M򃆒 K7bi&"'bLV)lwM 4grnpP`hs>"oe;NWV gW_`mm62pv` @9t 4Y$Cї{]9pu)8v:Ys]vy<;c U>bȳ_W;]_l:eG|~/3H-sA[_נDhIp0G5OΟl.h˗\ʻcŸίt״Q8?1JaNюdBő˲b'N۠1(T~|82}>)+BAT>喟+IiLQ уbmď$[:R#/X"r Gڡ,~%TW_;3SBA_nw}{_kѨ>՝&,Nplh gɀi[ue ~o;q%j?6I&S_§یQr Y)O[(2 GBP>Cdz./bߴB!tM8!hO},۞j`;5 ׹ xXNA-dgfA}Vd `}YˬVQY|=pta==jUƿmpcj<%7$y+TS N1:WP?2 ]ޏp1y(J|9YW:>Q£zمVjM{+ݖbmNwsG0ɱ;'/!4knxU#YV—qҀ $*b'xىN*XL1!Zղ(mU> -Wq@K2;fc\`YB4݂{qfu$9D?M{KEFv~/kb[OaAM?ǯZ5t?1o3}k4کb2m4\X8lsP71'^ݭ..3/ڽo=Xd9}`'q+w u h;Tk׀o/tI)Ч|V7?>m;smc8{hϭn'`x&#BNtBC#jgKۊbKMfVHd | RNUF5{*Cvl@o&#;`vSc0`r29duP9).; |Ԓ D id0_>]m^6?LWiKxy(ڻ|C?ĒR ~GU Nos'صS/Mt +5γs6jh7)O *?4v7txMUsh3#cEp'lϥkQU&6[(^몿Y3xV{AnThm ]kol|Q;_6iePMsI{8WiksO,=lm$$@:g2fu~Q?k5|rԇz}ғϞ]~\|? |do7 OFGh`WY￾?(O/ovqV(q3?$w|l",Lg$F_Ϥߐ6^K $MhUvlQ^ZӬgu9:6cPicF! 3}̪l :A^T|aڤQ+s3_9D񓶀Do̫pz>'%`Q&~ 'RJ誌'Yl5$t:`våt9}^D&wm,:rsN4J97[< jt|` Ur;A$lNJE-_w˶WB۠–nx'f%^rl谱5\m|(0AEǽ!9׽̚;⍝!}2Iwx2; kʨqϗ>=[ʾa4gt%xS@uʃ}O8N&{O.*YT/}͢]S9>9_Q:3E'IZ;Tf\ $;!r"yǻ;)훆*<*4Fs|J#x oOo% $p諏'`NN-zM6@u~=W/Γő5|U`A̵Ց}aAAzUr)˸M^t,n~)z|my?dFtʦTyKbevb }fyCgP!* #4nd:c=h)o7hX,$0h׀y哟cX J%ADG6Pjw\^T1|TI&%J!7~v=69.<`k>TaO|(rAo+nrLsIޛ>| )2w]Ԯ=!t'_RnyS\ +/;j3~G+%t\yb!ݑ!˵#Vp@mB1$_J:0T_$:<dn֊Wv:(4qLj_990 7{/[$l]]xe_ ͫLБʌf;7VRk!E(fhlqBVX\oW'T_0o?l#;zkC]i U;wkcVB<-Ŝqɱ[[K{y| G/~Czl7kzN;۟'ኩZ"$Iү|G]> ]ZIQ}9}pM1|= Z}^?0|dvcMNjE&m#pJ(Կum?qV3i!WϿl0?|}?l"@ܸ |LzqrրޯnxxAc)N-τET:ďP :'k&h0|ē 0` 5vɃf).B(0cbiWeKP;̖B N z7yIWΫK19::xAxX4([g<ěI553L()Y?{A<0MZdH15 ok4 q!$:J%DFu!*):@]g4LIQpuI~<ۅuf=^[mC:jK؜;6ac.a_tׁE6sFo[c_ƳrEb fU{q6f ɀ_wwCo\%+"g\e,+V1X z:Yl? !YNzwx5VaW=dvd{1DQ{s+0k6u p;a|ë~^΀闾;{^ωpYd2e-;jC'?+>L`(, \4'.Ivt~& NV쐧s/kll.rMR.fiwB~X=^ֱw1[g4) dϽ~1⨧]tly:0]OpGʣpyv2x\Ct`51gaN/ޡer&R<'}l"{l*b[=8-gO?٫u`K1x@:CoP"Q`Y~ c6ʞMH.ffE=+&%$w|3'n%{yC>͎jf峛8ZL±7ƨ$?5%EJ, ;7I`yr3HMV4{`&g(䀕W%3e3M?F;OI֩7SI$+Mj 2"~pp]]^ccti{vAĵc 7]wVUY+W%M31!V\79G?fpH6ꊇ<7xNdNֳK`G>JR Lg) ]W?1j|5DD@&BbncпWfSaǒ%كFB8G(#aqayVd ^>G,P[5.-Ac<1Bۄ~e^t[p8|G l|Lpb=]o9R* o1F *O'?o' L2~Lzd}?B(6 W+DǃxG~T?^z~}: og&*}ݯ<,MtW[oo[_W7߹=X6A/NtnLr_$;@rs jתJa6LEңmW}?xΊM_.?}.>j炇Aۍ}͎A>dW=@&7A^ \tS~`- WYx?_zMN$Do .s&m|yx!=U__;@^$m5]_ӧ { y>{4T?0 [`Fzvg/_ﲯw?|[=18jC,b>JF&n_|ht;{MH5xA}ۤYv/8o`[.ŬKC-Di7ɥ[ ]@?'I'gMarx 1W6fk `(@)ogI0LJQ5HΖ8>H`KRd2\wt洋% ֹ`;8׈ XP fK lRR3h4|* qOkbYߧ:b1mbB-`_rW !O'ua|4MfhNM'AлQt|u4٪=<#qC9e$?ĭvgƌx|w 4"bK<N  THmec7#}#c.KIn[=緎˂02-Ѳ*Z%Aoǁ5Ѽ\$6 Lm/d^ ?/_;blʓ ` @ Ehw UKkБ& X(0Qkl7sf_0<,ö|fe6s޽""@ lvM-e*>5jo+w6\AxR#N9~y6{F‡S?YMS1{bPC (0pxuV5m5D:ѳNY)H]X(>is@eoVzѪ-e58y'[r:-79Ul&s/dWirBtΛM.} 8dvD>uf Y0F*0a\+W=.^}J:㛁dhHJ47"VvTdiayAh=l-0OB5;Edma%eHIK'vC ʦ4nGcՆ59#ȫho㉪oT)t]`v8.g҉ ~abbR  G;C72am⴩d`IG;xWX[ŀ94>&n|οkߕ6h"`GЙl|lr*O`O gnJ-"{onq򾅑k39{y=GiWAo金B1'K*;W sHS~:axmBʖVt%7Sy9<6ģm.b2ϐ`j7"v-+4v1=[ b>᏷dYž7ܽʍT1D Zii3XԩX0QNAgm7$ tԙ6ߛЮlIG]%wv3FFly*+jPtAN$8sE mTZZw+p,uظ~Aȗ^:Oz>Oν(.>[\5砗?xfn3=a^ q=۪zy~"N^ЛLۃ4[ڭu.4X<#𜳽I*ZxjVwxX~LIkſ㺼RuMnF'Yx$;y՗wO/zVȃ}&d~sD_}o|ٷ./].zD 4{Kv%3{֟ŒqwedNoFkZo#+ k[.'9q=E3|s)'XQQ-}*_ai2ro:]ڰop&(uتUc- $+}oUv{IZZx^ 'gcw"Gj*MaH̒[J-Pp"J< hxer?@ Yn۶76ᑡQi(piF7M&  FONDg$BKrӑn, 9Dva%dAض@@54bqrLV@|ʙ,<:CGߓ@皭Zg4g2،i20N^3yTױA@)>_%|4c"k0_[EƓ)쨯`wu)7R#V^I4WF-?6`f?B!\ ')ΗfXo(+hLFP/}2փoc@\Cu'!NZg6=_&Iߠ\芆ʟ)BHm+xC?WΫT|3u!uA95: #`6 &YΦu]YYXΖ`O_o1lgt`peȉd/O*btHwloppo/?{R}M C`Vfv7ir-~0 Đ!?[%؜>?/&XN*2G|(-t֮Kϵy:W][x`o vMd *eK^y96t_kr휘;\8vo4T1dj7#:\b8y:xx=4$hX6C?PNe6:f&!Rܵ;fx[P_dt+#U;^uz}h+wztB}r.2lT8~&od앨#x)ATi# @yx>d|7D .|}ȌW>4Yddkxv{fU&F+0G'ĘF!Z_|6?!M$>C&7{/_ttᓵv.K.h{-2Lo7ė-֓?ɧ^>w{Ko/O翾6-FHTޛ_-bd2~^n6ح[&_?$C2H.yXv>,6ʪm aT6+Q;zJ>fQD?lk-X) # b0%~}"d)5D) N(rsl3Tⲟo:3fVl8e*XM!:ZT:W :!Xq9W[5^eAMJd ֌&xG'tF*`7m#zJj+V5Y%cl*(+߻e'<+up*3wBFgpg^ucd$PGϓJwbN79mQl>˟Nf`G>CE;- z"|颺|¡F _*=S78tF/`h r 6Q>5Ou]?l=u6}㡋F( Doh*}%t`meϮx K>uç|"eQfFZ^hP19!Mԋe[#Ta\\` 0ŋY@#~6mɝdk?4\S)7؂;&4~l}xxn tzK]9 B%/p1=DO unPu.?H0t̞&4_5%|fɋ?B譜<7qpvz!͹Vv%َMDax/L969;`Cj"LPO1:br)|e萸p.=m^4M&{V&{<#8{~२~Iav6rn竭Kl.8OOգ p,nxމK{;,t25u6p_S2t@GW'U79%dc$sӁCnN`H^$C~v#xop!r9gOpt-'+'Ctut0\aLnC}Ӟϰ~籤;Zmlضʋj;=:MKe)U} 4ZBt{;韦+ =dTڑAptT׶_w16r! L$G6B9O;ұUx-՛M [odvӭzhĤo ## 'pb]t,O3ŨK;7D? ⸶Ţ~7zxDÁRNyl~aQ)/nvnUއ0yȭNO\7a)U3m@ zސGpVD[SgzzO. 6'X/_"-.(D G- U>SvY䂤;& UG,URB"Du{1\%+$1cxŁ_.~fʢ)~qVJQӌӼP^6Ɩ|$9H/UvWz1?^[? CǗo}J{o2r8}ᡊn?^>?˳|_O??^^6'p<?M"{h<NY&@494 sJM9H'` Rx{++d?.{'4 v;;4p&_ԫ|j?HW=0VaFFߴUyOm`̂O?n 4lE5D2_&mD*Qc"yv{o;>i:?f+ϲ\({,`<~v|)Bnx Ec VOS[ |_'}2I3XpN gu(<(H:F+@6yvpumѯ2 [7h&`.Ml`3I`5[E[o|1nDYfJ;!2)9V'r^AU>CF%GoyxlRSN_&̼Wz%LޙlY9vV=jUDhv{c[9U7b^(;.Nǂ| Fdn28S,KJbb7,Y==g H'#btu^p~^&Ko3.=Zvx;szMEM$m|q&* J{s  m8L4]| - m6ǝQЦ)/vFǾ&11g\cnD'OX9@di<غ˟Ez/~x]~/N|KF8'aE m% ܾz[GM'O/.6~壞<>_bL|pѶgwh޶@Rvl'@2?Ѻ^[c&!R*ު lIXc^u`2u~"V͞[kAOAſN䓿#-1<:6/km[Ig0v#-Lh? Zpŗ'=N.iS$ Yv_Z?b;WॅWtVH Haѓ$I |lmkOTėXeJK* FO{J  rb2 W0DNT:wU1]6uvЍO~zS%W$1seC=$/F(QacEPA/<}B6X*nWzNU^ۿLlfyJ32~\&hV']Y 4 }!LP=={6rʏ~8$gVNjsh;![E$露RlAl(cx0:k~Ryhk#~'?ffty|tOtT:Z?zJA3)N2hP&¯DMg7ͨL^zCQqNQ1sbØ~Er?oVy!51Iӑ4?&S_K:7!Ō 졻Z}2vx6EׯN;ES J{lhM^^ֹۿ,L^?B[߷àD{='(Vgഋ bg?}]|:!@IDAT(ľg!37m¦I&0A}vB?~ҭ^\; t\LC}{?޷w\cHCAQ Pg4 7@/!>@!~sKðRLDQ{ٳ_.} aDmrӓ"1); 8x^՟ .FHŸ\gTi%H T`[3T(w ,39K_ ٻWd~sQVͶTk:ѶN{W VFqlw:zW>f4 \Ll%q2 'Z"Xtu.ۓ^ƽ!lhdޖ DBIݎԣs簏 `fխ7{d&4ZxXu pq`Te p2^nHblm~,fWPNw5`|2ZlNQDe2Om{!8'WM V۠n1]Wo=-El`=Y ȃ)t©1VlryXGgT!;w-q`u\@tG8^ `L>iwĉS|n G+qŃvpWu?ـ|+e6Iᝯ1.ـ/9n2^quhQgƴoѡ*T];}~uЕ27O=>J?ωw_`<ۢ7N&qJ^fvؚ,Η6B:6 ^d8&l$ ynrJ:OM:-&@@bxL^eׁ._~SJ|z"N)#z4G;Tr+ ~1M,M/?RޖkV;/hOe{>n߮O8]??];4d[R?*.?}ZLכh30__tM|;Ά{xC9Bdۊcxw2+{ȮMra=ԡ}~t=>p {ۊ`)oO~WMyL7c2 Xg,[^oOjV4۫-!׿W/e#nKg :scȎڴ02W>/z?gQᏗ;_Ͼ?L]|~z6/W|g_|d}?f$F˖KGr` 6ˀC l!-eo C~8 5 R:׬EP&cqOcG`wlSNv4Rl2j):ۉSBB6q*Ӊ%R@hzӀujqu5DHM Nk 0Pq:̂뵳9"Kyaf9F$.sĄkvJN [ Ǫ,бwU̐jIh]3rir|M&xh5Qj5x9^cCqY`eUN6KbhߜY^8ryѫ=d,>48 Iv|:ޯG#+.7в)pY:&TAuCx*n@=ۖN@+VRpAYvlJdRسt qcu*rz_:g\# &tw^/Wfj`<=z0Ox_P&GkElQ޶y]~b64۫m#QJl{:Xr5D V`77pM:>ht'{=;[zCG\3[ͪxgl4X6 k 6JniLIxl *rt$T5`B1vův ZgSjm^ꕖv5..VnBfàgrd%D1zl6|īt[ :tFJR*G1LAdRh1ğX(,9|)`@ Nv9P7nm1_>Pʏ;ч-:%M$9]ھ*1EZ{h ]!6A[͂em3h@~ NjvJ="䆣{uڡ\<:*[!8P,tr% 6v R'8=ÑɁF.Jj8Sل( |@4Q:+]bV4LD꣝#\vtVB=`w'桁܏:PMTV\mx`j&~ouПpĆ|HEG[̡X2WhMҗX{U wUʷBM-ZQRy0X*8_3Y}6xfbG4M_fq*7\߶[!~5ml6K&tz#+h$D@Dlz:oĊ0ĐO/*7>CsmT|W= @{kbD~o;?mZm!&n>'.9f >[_ 烇Ja)qW/w{S>`_/;5f)rO6B_) ^z֫]^{HJΉMJgg|_p2;&?χ_xN?>{vys&?_@嫯_>6vĚ*U[GI7}dݻoqǽ)@ľą!ϒ@i'_/Z0d2u1X0w(F_`|pyړ3],ugDh_zdk$c3Ig+[t pVsonf$)8;qAF@1!bEDoc%S<ΖjCL\v:vO[gأ0Ok5[]}묓WdX#$3`&; $?:@1k;TSIlNmnKotq ʲ?rPMQk~V9 z,V~'^u$5uf;8*%g<>c/ b/SơL.+W:+#VAP>:o:&Dm#g|(Geloݚ#kFXb?-Ei-op|W 4[U퐧Nhn1{2gq=9 i9!}_<~}&iZ)Fvs}b'-* ƚ؞V8~&o~n-O.?zGG=KгwK.[P!-s)f[J9ͫ!5 3oaJ|czn9m=]wJ|>iœ8ڛo<|`=$`HpפtS &V퓲q&쁅'dַ(:/EMF7;Ҿe/[6ڿ#N5/%~V{?m[Op^?L^tmO.i\ٷ?|/OOFsFπvڂ,*`>['~}=7^+)g't[&s<⏯mdz @bN!A:&A;b#̘JсEQ}`' ek`/p UGf8pʖr{0Bv5WnDn V#fn/kYmS,#\1SL-7C2kPUCf%w#=Iw4J.'CEgєc{됏`O*F|̺G0>`Z ᒎ::M3pmgѠD77Z9<`yuN+Z H['me Mgl2ډQC?LH])Q@_]5]4Z{CQ4h*#}}0TJ V2eP0ꐘ3F.1]aX4o}8rtXPu ɀɟ-V<2? Tp|A]6AH(~f.jwt톇0r&cNoY{sۃ$5e@&S^u~` ` K%$uKg>{V\Z2+ ]U2 O bOn@$?0<T|g:Bjunv%:lr:p|aM%•-.E;[URS:?PJ$Y:%Y l&et%&Lvo"&]d+&ofd]Nj#Vm2w qbr&6WBS"'AiW=kJW9*J[[3;hKyZjJ}cPf h {|U6 Wg5/X[7]L` J [?# ʕ.g6sd4{'q[9ZhDXgǩ׫\猻z<[z٨wSy*矣. -n Rw[7&VqcN}]H|ӿ:}/盗wc}/ySC^BLg:s:3TLm6atVe&n1Zc-w³vV`4mr2|-5y9x =x&ƻϺj=.Zѽ τU䲝x!$1FNz?Ͼ*oV8Wo·/7?|ǬO>d疾\F:N P|?U^>ӟ\\/~|_v [\0F[M@q@EiڞIip{pe6Y({q3Y6v{H1pSkhB9qˮ #خr>Rgce(ś-x1VՅ`FK;$$bp`ԞEj1jeNo:95!k,9'9dfr NttYvDؤ 'Ԫ`?oLK"M$ǖm sRX m*IɃM -$z^ZAJ\ɩ_O5_G| _"`/G骣р-=蛿>6W<]=\'c)-°bpjvqU>lahIΆ'NVlY+NeL\U&XɂEc `cP1_m0k[Wn\8/^TKߛSoQ'ٝId3(mvs}<}xb" BPتƼ/?ZꈑfZw~Xnqc`4Bb8%Kyd:wD= A88wrL;/TANSP?uO3n էZ:&\~̕[u֒w^;q.l 2/LhOMU8}(\hOx&h6-^h~a+ц"|q[>!Ao=3r$EjTϹ~kX)y2t5ZV%~仜ձ+x}J 2$Fl}iF3Wg/ggg/FW6|.}:_O#]u<҇=GtԻ]! #'I}+A]x+A837_oиǗ>zzN딋 qyf 9F3GzX&dQR/{3o^/o$iMz-  Vj|ьq$Jv[ ,ggKbqrҹ6XagyӉuɎD9O9uAL: I _x=;[PM/=$pd $H/%~K 1d>i&P"$@vln7thH&B@%_K$;{xh""ܮx5l9`["%ya OWu ̐ẽD8VJO^ m{_8tqN0-Ip6wU.!7"]%̼L6L`>1`䩿L{-cGίvVDbl;MޛB t ;ͻ5 H0Mg_VP#M]=x9;?Ak`G=h9|9;U;ꏲ=k$`3B?/щZ_}{`T:.n[>GT IbجQ֞R~UR7[݉=5Ťߌ"jkב: VOYaO;zYjpE([ ;r+7e6@JLJڱѤ(Cb);G0b#x$Rw0Nv  VpAwc7y@l(SQDVLmPO*VF׶(bR^ :xs췜6P5!GdR:hi)ÍS*WtV#%h%+{}nЃGgyKŶlMm営|jO:91xg ?g}7㉰ r˯/g̃'{Ý@";Kfb^tߪ:ysyk1[&.?/.VvAFm]>mq5ʁ;ݺq?nLL{O3=7fַoqePl@Ibxe@KH).Er]֘;9=N-Ah`%4KV]%_,-8-}୳ٰŇrut(ES've&' v)NN^s_E4dJweԋQ)0^B&}8Sw}sx*s1۠kvnoz0GQ= /F  G0>*o6pDm& ^xn)V.d -x"4L +<r=[\>w[6YE{nO Lx] !22WNb)0Spd5ٟ<5[O6bηv@E;cZ[)zfsxM'CR:q{x^m݂6% H6Mv{bRȩ9 X r? =ih ;2FA$ddƀM Dpv6󰪟.+?`w=_nS=d @䧳՜J$6@vM"c?Y )<\u,gGf5eM:ƣQQMXɣ3;Dg=!רbANuY~_tuK&WEJ,NTs|Ώsj6GqEh1:[_Iѣ`_5c[%9Mgwv3FXQ\[z}Msfb7\EobNA>S˜;:1Ox܉h3*^u+S-x*]hM?d%VrLd4fWWCőem?ixd_3!s`hOC^ã#3a|]uRv`SVCI'FW n2YAV8{Ҭ>k41 m;,\pvk0Xy!IOlf˫DsO{q6kW+L}O>ˉҔ'xV&|-ήȩ:}R ش ZZQGCWbdwmůNgpH>z<ݛDWܒj.śg>}Z&A7α&dbCcwoN(ΝZEĆb[?S_4^tQ#PG"~ÿ_{;=՟M1OP%w&UoBvֈ.d ,Z^^Z6oODq6yN9Y Û8W9VeD MV)?!.(<ׅQ{8wk.t򄨎ѡx#19m 0%h-P(O\LjV@"!ߖIX%Rv^6*Li5YD K;6Шjr: G"9 Vy%+];*R~@K:R*|U FKI%a9o5"_- A:P??It{ѡ`ufX F%KPȕ>96a2@LBǾ:QraxM|A®(u?ӂh/AtVuP /meBs?ZrB.} mJ9'rI#]rucukIl$l.@H XHV̆"k /JI5%6ѰN<7ppnnKJI wbe>nBmzR39~3bxx!심ITuu":bHS+X;gB|azA:}p{Rg6ͼ,Z`uϨD:6>磓7&<ɊN5o%C|}r7Eo6|XW,X'DklC"5}GW%BV7 >vTxx՝!*kioӭس)mv#YXu53}&ȡX'@|ptItV\E`өpv'~)=+* GPz*'?CŋlN| 'F_pբH`Ӯ7) 8g`rf?dfY,@~ڎڼժ1c}lXrAI }9 (UMJڎ#.ȱ ! |.F 6U"|rv›~uމ9ڇ1{;~gM"U4l}[HܖG[`ZᚭUBDx\JJuZۤf$Lw9Tu|^glfĉφilgqxGϑ'~ .j4AxݾW9O lH(Vb2ع'9әXxC|)3%-ܑ:txV+W:&GrY_3CrT$+mU;7x&wK*rn;~Eb2-'ؓ~1y te1r'Y7pN G^-,qd_ vfQw=ӌ$?d Fë<+;IPF:=7 i !#wI1qm3I͸jsW Si~mu&;M t=G~Σ}edi階,/\muD/0_3)1w2JIٻp(wMwpWV : f-qr/mC2>yWykUD{ml N6Dv1#y٭_ɓ vGIF*'F_|Oў#dz|=ݲGTu ftt@קvmdj6q |L0+#4-9WN*TKl__k9m$q&nhv#ʼn8h1@~r'rяC;=nۭoe[½dZ\`l~WlK 6vBXǫ=dQ?#"U>oWˍgt-gɯ&9n躃]fOm[L?9,pD8iIm#Sd|ϡIL>F0G ~m8:_bN4|jSK2x7'`<鯽='Gw*ݭLb;EtekLQnxEe/4| w|UM,ۥ{<$թ>ɬr|8o&U7N;v*=kgO'3*1n@*/}WvPtKJpe>\M;GGuٗ` UxK-\< &[@.Pkc朁:CQБ=mVի*89GAyL~+ 4 z4L6i$5sܫW 1:͓۫<[u|eW ~# |(}C%)wU&Ȩ+z&@N0Mp8:Y ѹŖFKm`G.uዞn .%ʒj;S'ٱ.6uR\{&F\gp7P!pak2 >!N٦0$u1W$%q-3 3Ƞzo#'''+Cځ5R C w<>V1ݧk]Q/_\.R ~7Y Ws)F2-&/ M ՕV KD' 60H Wvf(kc2tv$yr w'N^W[qr:U]Ex\jҩF/ msf:05қ Kn'_^}@j׈2촯Y-\ci|Wo}6W:Ŕ1mb`j3[ce+niLo`Oǖ0N3ܸnl-oBYzzكdUS]jEw |/9;}ewFJxvy.?/ݿHߩ-q{mdM#l%O.fLꐥqN *fG_5y6<0e >Qr6b4pzq 1e>I cFgB浆.TmWs3F }- <%ތ!7Q eKbn t519NxG ̈^mm Tr#dS_`p|Sxj3<*= &R$ /YދrZmGZ`҇UNLnr CP.6<ڛC}JիL[[R/ɮjnM}ʈI`--@#duȬpA&k`68Ln-7uo6[M…V<,}d\E`f vp_`ɮdsKC%BN(_|!$F޶`F&Ӏɹ:vI\O;^2^@2Y<(aI^l՞t# `mI`$z&; bl vjIl@G w|8U⬝uĂTry>5՛sjΖu\Nt@^UʎB8Z=!y6cDl&;^6U^5YmR jlp&M"x-+l8r^Bt{hk>B_h=ݒBx GU]&[ kk LL fs98+׿^GvQ͚$[4|?C4~فmV^0Ԋr5OLGb#[>Wٮ6FS&R'0:I&; AXc/Gt:lk%&n4_運):ܕ 5vupOITW:ڎ>);;4H%Q1G?gWɬs0V5Z:ogt(lŻb_n9 %`#=бxj_IF~/(k!| wmjt>:@y3 b`7ٸrw®ь-kf'A^ʗ*)W΍3aƕH C{X=n?muk-H <NUBG X;+7Z}]ݪ vԓSn A݆=\w>qBg'r;= ?~˟7 ,JU|B(Ex[#N± `*7^$d<`\*>ɍyеs8V=,O3NڲNߪ;g/5q+}A0ʻ[xcdM/W)`9h?9T7?=U``l00a1==yp& һ=5z8?߾]l^^g࿇=Y1a={>_Vܫq.Y6mM[WGrXt!JtfNWOz7zpӯ6qz_ X:Ѯ9:}/gh] |-l@<(,G T=cu KTmDa@䃈a2o*+;#ԛO=n+hG`XuTtK/[K36!yx-S}}yf˼/Sh6'& NCCnNle{@ ._ .&\@α9'TŃ ܃fqOK?fYα*v>\# Dg^Awp&Kى%nk" S)֨Sbc 4}h 9i8Dm1[_; ; m@,!6J(["nUGM8lvgScەWo JdU^>#f"h4> lYdpbd4v, ȃ }X?&՗}O~<~wVu"06p䕌wwSweG 7lScyɦS"â͠e`@BG=OfE"aaE sxgk:t  Ol ZD5j nFr_^.wmFʭ蕀 =C`v+}& :{㻗o.~_08_||DgٺX7+Cvvxc:g='7 u 2۾_.y_YCDΞZO6=j;|_GړsH{:Hq;_7?UW_6O̓>k4pҽ5>;>mfM d՛.|COm9|I^z;R-@r"}{V.n~-Q *c9_ s&4*^Ir  Ap`n˨6X'`,!v> %~!WKg?q:AO[G?4kk6*Z{% g&J6ts"lW3tք?iD^v,X:m?YIf͘!V^U| y\1 l{P'<|`i ǭI#W^6ȫ'[@~&" b|zGp-T ^LMt89~;j |T&/:Ag7mǮ${%[cDJm+CAqnĠ% Iբ:N c:3*mR R$|?W~٫zux/yvIXD?ŵd]߮FA a1; %FtU_6f[F$W &?vaԓ5{XO|dϗa"3{M FYx#7T?>0eb 8 6@^wk?R_- _܅(KT@b>qm7pV,pv⣷)ua'޽yMMf n`d|xXbgk]~G9o^ww~_{rvA?sg#αݞmb42̭*&KZ -|=Q[YVY/1f/Vr7~_]>zb\,IWp'B"ec[G>ӭzz[򷭌xk^-]?~ |gV~;9E8$ek%Pr&N%LUQs(+%|fcw.es5;e2Fz@r H~'3Gopr*lkVshhK/lmc<a LĤHfWі O 9z{Фʞ2-/N39ܮj &5gֽ目z{ok|l +-<f/{PN\]拉l)9|G_\#LLoKs}ougǁ[quHJK:B5ng#Hɑtaqm&wdWyo#7wpOGGo3x`!1Dve4v~7߂劑z B/>D9Pvۊvf*^MPL&[݃"fDRpf:H<v^-Ng䰘 &&4j)fmeG5')I,59W"5 RKɺ% Z1shWYrܠ Z`kWiV؈ѦNg?^)፠L?X}lj2ɴJcAKu\ח~sV>N=bהCfJ-G}ē>IO]Єh !l'ϭפ6t m9A;d֧P tw/\ Adzu{ su/GգQ,ojyEReO>Jk'n = J.㾝G^pGdn"IL5p3㗰ƑZϤFOۖ@5pZO~4_gaT{`AFo Q' sUL2rɇ\`W`WSx"]݄}Wi2}{2{Dl=lH3 >j7˷4"r Ӏ6( UlntjD+|M4YKJl+:;O'p ]Ml2.#wpy~2yn"r$0p L}ԠʹmI+:^~i[C>ٚ@TK![X}M8[t ^ ^ _ S} uնcDjy#hu/ۗ]<~rf>x]Ǘu &>.ڴ~W=sу;f|Q.f q= bU II.yn\vkBx ϻxbo VRgɨFdgg҅]u~6a| Y=ʗfN]~|}aNUNv{^}$>(|׾};_k%>GG_^>n.u<b 쓣K0TLq*[-scϥTy_ k]fAs:I!6ӗQ\; VPnL`x,zxEhnʣxLA5N4C"- \`88cȁ`["f7:\m !h#Р~fЕ Fp# ^'.د88͑(x@%Itei\FwKF FfnYs.y%Gl`cOY.E&KW' '"\IK>Y%S3%- ];h]!nye>%suunWYr x2_E8_]Le^iAU8 JsTKtRk9 0VI&[2rx7pyn >u96æk%jl\7aI{M4txLƸ`d)[LέI@CHӉ)Z/mAIB&2cJ `3pAAL/}XԖLu.`o&L}?H道먓 :xdݙfѽ&@Hdɔ3t1Y#ŴD; H6_lK.ʓ| :d_Ty&SgQ|g՝T+;c|'lis= n~:Nm0-EXɖɈ8ɮ;!>,d6pl)g$}TJO`̯%6G-7\f>2pfY謺$G?MKal'%.Lv"סtnC:#~M.pb=wOy}ndBdB m#Vڟ &[[bm_ oz^%I4 #Y~5$%i׆eg#U67ȥAu|YF-*R퇵&(~EgmQy~dl@3|'O|ͳbj>_+Jt,(.Qp^A)TeTɽgΤwv8!?Xy2{Q>L}DY"OBw4q*wÐ,' C߹(ݨ=׎<[j,6]ۑ>$Ynp}C(W.WހLbā⁾=C*# #gQ lC }Dg霜'ej=UUڹO3>UH2 [W_۝vv?>%G]7<ҙC*gJ;V-[r@8Ny'}߾|ïWwK曀]_?O{eewsy&?~6y wnVx1V@Y?ugdOBbW5Rl7Y]{^^/]'ڊ1Z'WVt +xzZMˆ:Y^"0/d=89fyu96|>,>5v^}01#g}ҷ//\H;.*u^xnk v x5| ~ ş]/~|~č"-ud"~H|b4Zlբj%˝k`-F*r ,7Gd +㪇 |G t"FHN#WW@?е?v\Igfp#q"@` huƙsNW Gu<5^bVUgHhQ`lfp4Yb%-wh<s3l7EAp='] Ä6}"%,]Hpx!Xg1nع%]'گ,G˖l&N$A~.ܞ /e Llg03F#6}u_>ˀy[hg&3jW_Rܓ _r: 6cܙ(L4H\xMRF܂Co>ןQrDaK:G+:Q UܬNeUW&G-z7*d oi%1bx˿?@7>l-HBd |p$# zJZk|Фkی2g]zיT6͎-@^87''Ȣs>BIY8@)< -7ҷ2Җ$ŋ  {w||h*_lp3(]/b>*!4dC&omgKfS7bj} QAb{x鉼t l@ }VJч8!G (z~d6bm.Ɇ,ɹJzB{HmRxJe@qH:jp*b7;ug 3ZQp_ۇÕ STӵb1`b6L6c*ْt><%q<WK/Y 1VA4Ux;Ibb=R¬mFێ_vp&+bQzGΤOtF 3X$bu}U dx?hX{E{[-o?`?sEyE4Gr!_p\~2XxbgɄ|I+6>ۭY6x:49&wk)>+uf[;|Ǯ<~G!@R|E\V-&FA@Ժ NW8fo9&K0r 5Rr&=-VE~91D%5N>di*[vanp)rW5ZA8tqM)rVk YT|k¯r4Ll 5d > EňVr+z KzȢz|r{<^+K<m`Y cV*6V6hד 9KLd~b+8s\SQ^@a6f@G'ηH;.[5+l'-1uD7 }9F؄>T?:x=\˿od{·_k9{=\e^nx;_Bj%4?C LoR _*u"Y?Ix~K_5amohUAalRdؗ]ax#ĽgI/-~ lIZ+ c㡼&aդy0xeS>^X%ɋ=)~s~g-"&K_!߾^wg$ t&"ݵΗ=\wg5k_nwQWGʛǦCts 1]w|V(l 9WUO*Y'cME{4š\9U3 HXSHVLmf5Q5G[yrllAppr))u] x:9dn6[6§T ܟa&Ψk sn:o8ђ+?=t!{ZuT0P:j:_R1DgfqO`/q8Ґ_ƽ24<z;y hvt7W`4>f _ v/Qal27f1PlhbpǚfߒmSهi^uncn+8lSCG<u*l:9,YC;n 4%#1g'xx^=dҫ9z?[O`DJ&4:6 e5'MoKn]ŏV̤?;'`1HN]܄W]Օ"PW1!>']=9%C'Oaw}j |Ȩ6/&h&_qbl>r[҂i9,&+~Y6J۠-evm*S5ŋf˞fl`[%@փQ44"96_[})&\ax' -&vE  +XJ$DH}h>ɄF Q M&na*Yb#xuVĉ[ B~1vd A^ō󹊾duНǤ#ri[ }lR}1M;|׷Գz]'{_^-@;:vh.t xsh> ts!yLӌdHU9 !m rU6@NƔUS ؁N*b9kٰFz|* K^e5}`V}OT&: N#WuB}4LxB0]U4ShPXir-)czQ@&aM\;phUi5)u xR*?[mIsH/NL"ox::wnC׸1[_҆]F2y} ͖UU$34Iog}NL]xk[QNƁ8F-FwlePF3Nw;}="G jv[(f~O';q_"==S`>Y'{/_~\G?.^?{ۃK7۽_/^oo\<~Mxm=ɐO˼0/OvuM~ѠOٕ=ww><'xyy{[ zby A V=3ΕK0GUVS%?N'-Wt6d㕙'ޛhCY=J᫳34\M;˗YQDJ@_'zʄO>_< //^^Ow?_]O/ɚ6W)7gɱ|⊂[$w#}v=UZp՟#[bLjSeqI_m:p(+k$31sMջ&< (v0f -aqp%=@42 GpJ PBu!w%"笖,Ҿdh VEPB=8//v >V`Z2D vh1P@KϽ> l]|SPd돦mWYW+=aOG^`smI-/)/[k,C-䄛߰W<gMׄwGx`–n/ 趩g֐`df3{]۔l6L]gfh&M֌Mn_T-3a&&{Iv+q$8r8A2Ji-5yrk~6~ԯ0 [F3aa@ cܞXLn)T5'k~+9$5PCF3:x`7VG!g\[W!G;~ .7ڪCN#?\!]N.SF'__X[UG`t'9.n =27$hPNW!z(ۊW?dv@t{&]`fdtL2[}CqW W;,5EX%h]lw2 5CG7 xUp}eV?Ein$ma2,8?hnx?S'd^`8߈'dLL5H7YhY" !۩M .uѸs{.aϒgݫZOSY{ݢqNwʾIX&&OxW]~ܺxo~;~ .<$' Dd={}>ou)򵷗y{q6(!a65G>tq|r^.(ɕ>M/_71y'Nv\>p+7biAf6}V^d YޗV˵"^i~W|1[ ^'>8ĕl/=?Ni{Չl XgT=}}O?|k_߸yor]wd|@IDAT&~[V҂n#_3`\aq/Hؗ@N:Ml-Szgp-^B3z$cڦN;i-;~ndRJ)%eɒ*v 0e! 66T宪TjRR[fZOWKϨ>ᷫVxW){Fˁqs>rYeVLB[L '^4Ϡ;6ÓP.t0{Nc l٠Od]Me: kQU2;|࢘t긻 { &8ǕPQNPr%*\c^+alRiXe3G0XlQ e|8t#B`/zpSLhn7Kdžd̒Q _QΦ7[V^4]W`Dͤ#4ؖKw(DEq׈K۩zu\,+{LZAgnj ^H^>[ Jƛ੸RF2/Φom" G`&c'(m'8XqwtȾk'L'%NmAҀ)7e"kW9?]y& ^fr])z0&96qZY)K# -z>'c1Jm^UYm2rOO'b{4yvyxP`H dc/Qa3S<02wl'YyIȮ!mv1/[7n׬?譼wlRʞ:J߮X[rĴAs8iu f[kkTǦ{1|a+>bY[}2Nf & u׀{ċUQ M4n|j\>__oq{Jվ.P)&ڬS/~u>O??|w?auHx[Q󥭨kك{O[~\^~lx g_h o&gO^]͞lz?Qݎ, 6J\M4AAG8 GF^gIv~3Gd7Tkį12?Ggg  칢6]}2}ҥk ]p&Re#|ȫ)$ϲ@![X_W^\G=zXTZ{ 3ËCK 9~_C Kiog҃jwi'/vٕ7P],c<|w?2KZ8!Ge\8=xlaȍ,`VHvK8gܯ̟Lp/ذWD!/O>>K욮چL<A+8"c|H [DlR ;Չ}|[`X_e 9>em.+) =a1=~ڋg_VAq/hטoՙIQo\g?'4*^G-;eMo2Wj*,kRp= މ. @!ח/x|l|#g;~=g0^ a``sU*^FZoIէdc}c+\`ȓҺ,aF1}zO~w.sO=!tif5J1Ν^{|Na@7Uc!q1}{o\~z7_wKY}JjųM GE\GKv}7x8̌knF6P0ԁԘIO/Hn12UAt8 H"8'Fd_ -* QU+cAƠ%Y xoF‚ܗ5qAAEx,ѺЉ?^+Amgދ(F\K>f@ph?ޱGC4*zG4 sU:z.8zrE!sF{>}J4t| ģUfrMdcW QN*wUF|x;O˳"f[%Y| >F K$D-rqU" gzN49sftd:E`$uR.#9Ql纼x]:&-~9H0j '}|/ fvxJ4I\--YqrNje{%,kԖ_@:n$ 9d`G[C?<>d\*<1t+Ir$4SC Q9 &#RB i3>+C:gOE\$=!|lfR2&O2o-˱c|D7gh*Ma׫d Sv7;nwGR]tIfɠ6D/"78qz ;BO6 ]9|r*tlW>oQput0RSJzGdϺP`'@R~#8yx]3DzCv"Y(p}VT|nצZm*X_oAV4ϲ"O+oz˖4svV ح(}Ho_b8KOh;_~g[^]=m%leM=m`Ig{1"˓ȤWHȫmDŋ_ /},?^D3:gsEOL0+]$va5m3Efx A7\ B(} pl`$C6xg9X::l~hLU(7+˰e:x bREl?~ѩ>?/Ow~xH1t OtexwV=:%:hB f<[IWpPKPʾ"P~9ǻJK@55TDN&fKCCO"#:n `wAY[@c6%?8|GdуMy;_xVG/`u 95`_:GHitD`F3g/XѸYUE4, t_1"KJ<욝@ųc_b6W|T8| Jyc1| 6&u3<0v}qFC.cgY=ePxZl 㸬YJtcNz_Q!HD@G jӹئ ZU͎Ao8|$?vf9-؉%89eH.}NsqO+Ϡ#{wRg(񬒪Xdq%k<-*G3~= }7[[nq8 :*Pb]xo[>?gPXeG89ٿWSuU]ChJz:gm E@`zr蚿թ@%L=CLgs< V-oJ(1p"< lT1k9+:AYQfft26%7Gfv?'#6C3<`5YfW%(zp}p8sL<'͎Vbz'm\8_:'Ejo@Dy֤ἳv+jap{a߫SFpQ*t_`Tz!wokEQЪ܆ _Yf묓fUnsoYii%t $|uZ+^6ms@^O[=ޛN + 2eM$03gѴWәDJ^9~} BY$9 + {!HI j;w}m}fϤ"b_'ۣ_@6,wZ>o}˟~M/ʟ ia{#C%\e _a7SP mip ,pVodrAwQ S8 5zfϩed ^WgJ0h Xi`dC>`o OۨUkawi%*JH; Ĥ=;;:R{atc7TvA/ w7",f|Vkgco8 oTtԏ{KVzW16G;( TEnhxK)BlB;mq|GvnAYҧ hS+ TsHMLӍ<YP lrBJ)`nͯdp n{'\=]FBh xwPmxG-̀ Oɱ0<×rprp١Δl8*ڌep`lO=~Xp9 vַHi!*-qS&F5kW8Ik5,?rWAQP&kʓ80v;{qzܢMz-ZLv,b:zږgA|; @Lu tΞ-3R'$_6O!v$X_Zkֱ!"=S̡5\u.l(7w؈#?d7 2ǭU`31XPRltaGسzW+3ċWCE銝Vo2@L԰ ST^c*cpE#b߃h=yاx| #|6  ux@]=Ӯ|uD(P=$^u/`)*i_2X|NV`z||͠0tNqPК@3"{Oq|Dg0ʮb@ہ7xdJKhS N ї#Uݓ v: x]B0u'7 ^܉gk6=^6͂ oC/;]d`J_;OƶxaʰC`WBJ9L5-Ojy&6=.%#%2*_P "K `a68++֦nNa/ wbbk7!:slggPM.>zAekbYGJ 5 JTbH&1zAۑ_cJ_,"Ckan&q})Q1⽬9`%\`)\!]'x~9|+Z9,2N⑋\8F҇vQ//-6>ׁ¿g:?lS6Gj/V^ c4W /ګ=#A3??h.ח??/.?o]ě Au©)Ǐ6p[yY2>/h:8{DXp^#`9q3]zST,s oqFD08k^:A[ Yrε}fAu1+MmNotpdۑC|w0slRZPa+0>WцWLA;2\ƄSKM7Qˑ { 6:Qx{0V:ҙ)hA\qGKM*ˎ*hRO9~4T ү BtڪMYŻsjO9g(}{*ybh:1OQJ A.lN&&9(^{GN5B'Ň4 I.-HUFr6@B bؽF2gP0p4Бu< YM 3F63߳DV:Of͘7Y80%8uV2ERd~ =xE쵋2/şFWr}s@4 TB5`"d4&yBvc$];#S.hedA4sdLw~КDCRĥlK ΀2ۏxvQw`r$)?U_ 8Z貸uVk$=?\58jky4&wWimo}~.GnAMv,G[G?: @ή)8KjYx,&s1x6mx"SB8yhkoe*:v8VؔYYCmkIwmpiCn !{C&mL]%)Y}3iPyܞ#uj'Oo$-HVgk%u4/ o+/kX!}h{aqs NAd=8Yn+$e]|pL~U Hڈ@/W)lܵkM.nEŧWS*fԉ3]t}h3<'\,6ѾmJ Dꢤ_4iH=)==+"vֽ}bA S~08]oT=W- n 3| ?|~Nv{_L`mgu]|g L/JG{oww>?/_I߷$w}u&ǭ;muK4^ t[> :eVYڲgXgI=GP`4'her2B3St'/eqbgkJSO&śtYmG@mN Ύ& d9*4W` ޭ@wE= I3ة-gWC^*P)Xv1z[<HɎ|DlOtJT9.qO7K.DT `npD'QRePi`OhDY6=J,^*2xgutp^ 5,'rN݄[C{Z~~^Ђ 6 ݗѮ7oftG>Uvl0# ni_>dԃSqCsZzJ\L "Џ^&u[q~1-i ]Ȏ3X֑xx:]YtbjU!mY1SшƟlZ\*{^'ȏϮ.zj+"'C)m`sMu->:`+!YӕgO,dh0ZWq; փڻ xUX֧߆}[!V'?/u6 e6>VU17Sgv.iPUd@c^| T4y_9;?\ȓ9Ÿ:V-i_z٫j |.wD:Guf4nȲ@,q6Hv=?>ut]~2A8AK%W_sM itՠ&t%;-V)9 We* 4뼤#h>zH74Yfpm0&,{C8EFݭ̢>w+ SwJ|֩MPАYtҗ|(% *Gt9u(!"5ʧX4ek^߹@?{%<]+Qɰ"+gN!O8FU4 v-m nv'WEOz * J;11||#ӨL3_W21 g䟀*>r>)Gtnݷ \s(OWYڑ*~ďoleD(1x9Bx(M=љ(6{-`(UC:kJG|2.*Sw9g;lqWFV 3<*Moub<]YX2'Z{X,eN+GWdqwɫr&Չfd`  fWI'hPtYϓX;m:6`ޅ4[]l0skԻMَdxlNg{2쨏h25λЌ?醼Ev+spUW76+ۆ͕5oNjOwj:=~KQ{^_W˴G{Ugg`7xY է_^~:kZߦo4xP^W &LD Q.%ݯ󪇴Fp7s>DG\~O.UY}Bf7/zʂ//iLW(վwS*շ/xW˟]Ov?~kbh†{L,}cyysmi0sHv2* s-#P'Qq,Tnz?ҶSuzR?Eϧ4t~nYSP#-lrs-GyP@YWkUD`gH w[ػgrlx%#ZYᛜ7O[V(@\g/tWBq5jGA0&N*ʭ=k s4XO:lUͲ'?cؓo2%; A:Wx7@U_r,RZ%.xm2WP/KY:|a֖#}wEG,7@j|5 .~rپ]GK}i Sנq.,3 _E>ꞥQ̀JƠrdMtJlHkLuf )uk=se4-v FF4nlk<]lUzRmI[xs`^p6@Aﲐ`F Y6^SI)#lN>@z ݔmΓbh*t ~t?Y,'/ A!"g?Vଣ\8mP܃tز`ʁ{|_ցWN<?rpO~ʀ`ar=? 6_ R rv[`ɻQp`=<@'_{&F`˲+=2F/{pECEi[_=itxӞq:In57PPdzpisjI;9Ml@:Ⅿ7Iˏ!tGz?܃{5$Jdis>H͏:%ɤ2+\Fd=ۑG'y퉠B_ cK]B=}4 ׿0~(A9A*%)ebqt*,8t-d] ~C@4+:#9x (7vdc8K\E;inGJqNrg%ߊvG艴dςC~n i$]iVTu:nJp kKrZřY2-/C;<?0N;h$1yL)tNteKNW[-R1{DmzkSW[y`=:O>򍋮ٞ@9GtɭsIcz_uu䘽P"FK:k8ٓNޘ@^Qf 0*͸I6 vŘ9I0] ,ffQ pڂGxl1zU f{ |b[_7"::Vq޷Y`_`tli5/{Yp[Sʂ|}[{ބދE>a9#[y&0@IDAT;=j~}/k[πbʝ>ȱkhѽς'W2>|W^oxꁯbn8w[q6"ƇeǗ{7 |\q}֧ Z9Mxv6cd+~L2(5eu"m> |yNn$eg^Ea`Ke0 VQ ᆳгw`b+8FQ_Kt|lHò-yR*W= .] +%ꄎvڏ}7 * (|Ru=єId 4r9L.0WX ]Y`~3l]T丆ie.z"ܳ^9mn+`^g;FdgYxmczFA/7z>o^A^=9LÌ^`#"ؤ-."PeDkpM? Wj ERi3I6B-ړ@nM#|r[^k ȭfla; gGa$ʪx=2[:WZY~`C^wܭn _c@'5>tl/yuɦrlAq@(ql7~i@aO{^9^LuA 9t mS{][]ԩs| (W9''nZPg~奌G eGt~\6#Mץ{hWX=Lt} )- C|Hx{D c^=9rW8e--@V'($#|.t/vn 融rg/a419ΞKJkd;^P.4-[uJHpNir3\k:Z#'-,#Z[[xemon1jq|P,aHѫCG?2J-*:Sۗ#rM(w2wh7h˯zGwʴ( 7qL&uƻ_Nў(MV`f5~xV~Kڭ"fw0j_my>7ϣEցs҉glYY!^KKpe#ɂ7Zw^hAc sL[ /^ @W59'{y^YGܽgw s PPYү aژT(6yvU`l8.CS\/"ANKe~#;RQ\5ί X]YwJf\b?;d2Z-HXE: ms3A+3UVݗ8䏡uz﹥Yc Q!S@b{ 4aIOG`F GL= a)K$HϖBs4nT9n$l2-(~DVFǨdC8Y1لCGfURp4Dkgf\Τr:@qȘnoFumx2vA7mvruth,j}tpFf{E[l.wEjam֬@(jUSE#|_0WmtE*qz3"Uxk0 V- RʉykNˢ>Bp]No"Aؕqkd3(-+-7{"~6@,ьʲHH7lHdKy8=zbGW@F9[C7UPyl 4]@F~*VgZ^X|Wq6:f qmp{:CL dٳOȴF+'Jܯ/LR"-h ,U!*0;ɔ.1NK;>ntVľբ]БJS|fl 8Oʦ zζ5NUBQE:|z%n d8.f(P2j*i+D.n7$dQ!Yyr&[B'YQhӳm@=3:L퉻gL{gYx| ă 3>SGɭNa9rk۠HcmeoZs6u~ 0k-3>LS#Q3Ul}l#{^лe)_f XډZqȕ@Up%a-F=N|!:00py݂7sbWa*o:$ʥ@(_K%/L핱m҈0g]5Ӧ O&* ;*o6gC!q諳q8+6g 9= 9Beɏ$l'M⡢݅2LhJDYi]V^49 ? 3Q Ͼ{2" {t׻S6o cySlt!'g:eъbX`3e4G}n=3鄇9SֆBba"'W;K1i|?w-~S' eWg)+t5 ¶dˋ7+S(!APBثN0vlfU'lEn.^{Ħ{w[r֠A2ڇ;3WZi7sVf;ng8ݧ|2LPhu+/lf[B@ JL<9>W 6Y^~S}u_|mUP)iiuoj~/k7{mr9_GӲ(}q`:Mm<1wy3>Ϗ|&gnZ$\G* m%/q*y?__:c|;Doole^>/_]l7ն|ִ'ɏ~6VDPL<ǮBMxY{e҈Qѱ^t82{]!H^[P0dή5.tu ԞxQu:=33@V|f5\3`1> 0GRSG̖zV4aN223@'`7KAp&IcdrÝ` L~rO1x$S*F`dzoZ#3owi"ְct U)@ 9 la1UDmLgz3? 3(H^_k+\[_K:ZKH(R{y e(vT54WtRgɵ{-5S['#p&#w4ҟd Ba+ n0I ncL9]g;ڏbJR2>e:Y+-b ENfYhˮTzш(v L4M_oO WV8RJ Gn1֠a.s K.q5K/XΒ,ѿO]' ~ٶ% EF'Wy$|!r4&FQ@3Q=qnJE5[G%/ :UcىOzDV½)@g%(XnTkrtw *-/M>3͠cgo󗳑& E[ \ β8rW ʎ>k9>r}T2kg0*ٽx vtj{WU =K_p;Br`\ck׳g@hJ:xr,,YDÙ }'S0 %vOfd=6|Kc84MuoiN0cߥ{G<_2l69dw-c5$s6vuJ's2tn ObgY66o7{2~OYvF '+>u1#&};I=_Ѻ;w/+/ѰK4פ?R>VҫwӖ/ڵwk(|s-dC)o] EJ|wve*x/fF˃GV̮{xG6Aler*Ď FI"dҔC/:44 Mh*㭭@PL;Ze<z@ƃ*}6 *Ǧ찿?Z4*اG'69D_ΚtUmuZxđ&NL)FZ؏AdRgI__,%?^R8-!\sv"_UM' tWYݟGqot4oGډ6hΕв6ó+UV߬B|Qiy^'^%/ـ˛'ͦp$^[![ILNr09yk MU^ 1NSE :BL<xx m)s~'>qS]jBl ka`N:"Vx\hd0Y +:{' Gj'f7ykB`сc #{ls捂/6͏w~C'߽\mVX)CoZqu:Yٟ>__>ixꛣOوL [| ݒmC;9WщpIA4ΈH?r5:=bu1[:f3Yc۩0b0 :ݸ2Ftu9'WĨFP[C67/7t rѿܱ ( NZ@Cg&?Ŵ :h@!sQ5up4.}$| H2ɲѪwCʬQܛ8٭FB=ߣ*\ĉɈy u@1SB-T+B8 hWO;w6{Jfi=]x,/OC44Px+my+pÐmYi ca+Zb ߠmaT*qz:rtx44ӓlyZ}xT~ Lir^~p^``̜.eoi0?ʢWOM6|tFGAr;lENZdxs2@Stر8r7yoڝ d'M/MG3%sxjfV?<}?aad=@73Y0;w3ǯT;~O*^*K@g+1=Mq̎0-jqRrbzNC٥^vs6x#8Gs4ʷnnNU:h.uO;98'Mw`rfGGWapRbx1HbQx0Х#}N<_g)!L!C ##mC_7V`_rfgBhcSeG:@ `Su1[r#\1[ğ d}DGG].f{`@L{]HGwnYc5]8|dd>3or7axMGY!V? VpOw%ϓVR%lǀ)Y t683k</GBlHљ^[_Սd8,D c&k %P|39sVH^1gu'Γ%ſׁQY&>7ջ}m87?^U>_~L~`NgѸpnDžxBlHs+{?~V_ȏn=o:rbor|+E)іkGV~׽hǴ?ds*`U|0 37mVh2ϟInw`yj/^#.??O_iLUw1:+}瀼iIBO?|jU{e6rRBf=(蜍w!}Y硻?ܳ)-Q05=fx)#qтJAFjKR&tZF`tsq@'c*ceP f`ˀ9r4`hUe΀{)8Al.QG9ܠ2#,HUHy8T rg_ӕl8FK!*(\Ѡb(xcFp?t0k4Uf3>A]Gp-Ykdlѷ?5XuL~aD,eguFs=27&ײ/+w=d}X؃;(:0[I`8Ucl;8a9,Pt/`Ϯ]Z}) {Iɏ,˳11`U>bc6^' 0[! :W`o4%! fz.JAD>+j):: ld86qn]iTfM˫آ.,&rS9>uJeOpP6Ń|̾+:{0Ѐ#9J\*P"Lt'򕍜NvAT S{y;~~x,r=>R;f^ u6Q7 iB?I(MkWwS ќmeR"*Ʉ?^^84鰱e( c3$t h\E ,:'c畕7yM^USXUqt6:0FxB3W:M=⋎י-/. 4=pKpI X\vb]U#x Nv?bf )sّYT?!:XI&y#Wչe[Ŗʓ]`;@| WW5lC;uN;މ/dIJMb#Ѵ:uly^Bԕr'^HGMZ| r (4++;e=DD1}zPnibp N@WSzmpf,|ا,sO@S؄Aա eZX|M(O]M9ds+N&mJrѩNJm!Pщ ) S{,ݙ])3X?+ :? :8kz;Y2K+5dJbVOF3%ѯI{-O!^]E6Y{ A;Z_ :pGS_ñkQ:?Ǘo}왣z=4ž?&rϵ|-$Ly.h ],Wf!CFVC\{^'T&bm<l!sTK}-1:..:^=#k>o%~-c(XE?~=/^X9lp Xd+bX Ζ3 o/~}|]klwYG?w/./4n$WVUm 1 tK6K&޹ן_/Oџ`)="j9}w[Y 9 3/q,kλzxhJߠ >j@lpb]b;z+PO%eq5آY$'I1r?~EdtX)P餋4"2ԉ_5*L?'I+]LXF3HNH@89NG Eg7NTѓ l4Vgtѭ ĭz$KU@•ߣ˻AFS\CO#".< 4(]CK@ZB9 ʑ=_Z]^v`8ќ|Vf8pOmOgXL;a\܎=+9:>qz:Om濥-%#d@Rdа$=rtMWofܿʱ8>H]Q.3/Q5V<@y{MJAFg(Cqh V( TipgB!A<#X~dɦ#*-؀ÝNtQ,9YR=PGq3Y ʞNF٪g/I黥rnp@eמHoO_miN(]å!s'0dŘ@q>9I3ho.9̰ ,< qЁR'\"Ta?.՗FKO֞-z?#;) :ȷql!Gi\Gk mJ'\bQugͳmY}s9AʅHHp /|aa#MQ Ts8ũ;ךkя1lZx  fdAɖ= aX^fLJ0o c&o ڶY0Y^#Ea5g n޷؁իN!&+ðɱ8ŶDޢ&GwƂEQlw}= V1x~7Z;eM! ⍕ v'&NzuNƵYjZ0PФV;`xwKpk2kjr6 Kmw#Zyt;Ag;d߾&@س)tUޮ1Q{ث?^.qTU%#:;>دuig&"Dg$'XW}Ai0]Lwh>yqĄ.rפvL}eG; /mC\֗=03P[h[_TٖT۟C~z3;InRA a_ 7 <>WZ184a 3?;u.8.alWC]sJc*9C2]=E?Ķn1yk7VfkV:P`nz!$`NuwZ; w|A+/9| kؚ?{gܛqUXbpk0{~Mm N㞴wH;C8Mpy~|gŘ{d-LxǛ1iK7Q\Kɓ&eg?Kh|?O>|4A2喝$! /7g/oWM\<~jAۢA>n=MN:;._.w?/|#/wM37^q\:&jBFN=3,%aAntV ͵jK[v=Go8M4Nv"UcjuAlRC<8VSt7#Gӹ$W^I﷭ZgpM&_xS>92ɘ zYqU"bt!Om=έHn>1/7f)G`{6 Vxv?:E{ hcDve+sl1QV(sI{2w yoal{<|}Q&.6gՎ.:a`Id]V T\q}+4jh^h^k ]3Y)NsEwg?p΅@lMҫfzSmG(`ڽ`O> t:Ú](d_ilT`oP\{Qg>MrYqB_SLߩns>x%h$`9}~2r:Yla+)&LgklDqft؟_ɔY/^љ7 וHgpQx[Q0znn^.ďxpLGr!`%&MvS ש?A{v.>_]:V71;/Zl5v]3.N&ts:+Zm8MUoˮIqd3O+;?B4/&o9pCHȄ>SMoRt8ŗ Ԛʻ_9 ~ &?8;<:R߭<\ ;l[N#?}NCuMyMW.Wb&*dGi>;`/n щEr|u6_$7 ew:btل|_i@z<%1 6~~gZIjL x7)P&843X}LǡzZ8B&o}Pp5kS gHY%^qn'7LĴSYv3Mv"I9-X.vx“z0G1Ըe}Rj2s}NPr~fW.__c:-?Q .xrRB2whz͈QErbdsfjAbE㶳 8ꗔX=\W6]Hg$oZDtBħس'6tDddJ/ggòmINp'`EM#;48BV0e 5V5=O{YSzI;J,Lfnn3FƬlsȎc4Z;BP/۪ ;J<;?N:gl foN ulLDI5 UG0#*@iIW SxJMZoꨮ.ObG`-!IDIL(Mn44wdzo}g᫞FA'a}q͇m[fҵfdl'GLN 7ƜCa޵ۅx֏BOQ笂Ua>}[W`lL嗒G郿ɰ"~–Ц,),c' $ce@O/:I:x:e򕜀VLt} `K9b!PM?~Ϫ}TmGFK]A_ r0F|6NIJ:<7ǗMm3^%r @6d yɦTOwqVН\΄t=; ]c[싲 <=ةӓ'Y^-[0 jUh9 fƏe[Mn<z p1%{6]p3@h0IjB^~sdex1! 9Xuu]Z1^}dj 9* OD&uP4f V)1_J#O,6,v|# |Ȇ-rX\= PuѐѽDټ~m,3ȇ{}vlr9mv}wuB;[d;]8T2>^M[_3U\wuWBp٧C9UFuDס<\C5zGt" Ū[j7LOUWM߼G ࠃCj3r6RȲR!Xt%%GwzAxn[]#.VX1Dy8*JZ&]VLKW/M-Zl V}ЂאjA?CSd]r)R;~࣯~Uj=O+B.U%]ӿ ^ǮT-R- ӧ|9=Cwmgt/@xv9pT5g- k^uhח{P珀{{5_ɫ`??e1ˤVhyQNY}zoT{ryG C<8L>{2D=[NvryW~r{,w4g_xkޏ>}29D t~Ǐ³5@IDAT-f:A/N̳r8l'OMz6vtVFb@~ xsuauL0dG??Yy49x66?e{yyU؄ 8<Ӳc8_|/gu[ W)~8@IodC|uE-^ژfKQ~|Uws׽q>y{.̓0P 7ڂ@PAqs'x :dLwDAHuF3P6C.x/gUhNQ\{OhN[MP  ? ]xh4#xj2?驕/J7:NiBnuX>A piڐ_jZĸ&N^S::FhѩEEPȢ/ʐ<5e Bڱ͢ k-n.:2I4tt{[Æ9[\nIqjrǛ^TĆ*+\OpwrHlG,IʟpQc^rGCxV=X|:Sn5mt?:@@C.fFaŹ`uir2[ Dn=?Pn'Y?xM:x.Ѡvy@ֱ8vṉ:Wyl"")܎k~Mm݀$"_uK fO`NU:@v[:8&Hݫ1i?S_ +SkILŲ%>ӗ9z0"fZ#E[q-KOvC">+L~FV]g:sfPCf#UgCVln=wSW|+Ȫ* <:Fm-ۤNPL'YC7@ ߝޙ2 =:Oc:Ǿ]q?@=5#zPFXjBL|.;; W#+\dS#xN*@.u\ɽqP;DFU j0Ec4VG!Y[!wk4r:]_q &.Wz)GD\8NﮑAeo, xC A3;%W:ٱ;vtZwwh';ƄK8wpk 쳸eaE:@Uc$#j7'Eʆ \v?6X^j.#>?۬ڽr4ӹC#,;Y=,ܡ&/^iSl@Xe'z^w`Y}@ d^] >̵Kn 8kza<~ѭj>P;>r઻ Lr]/.E? uo3 XKPp/:|,-&zQr+bR䃻MsX1 {>L ;,‡ɚ;FO?dȎvtwp1* ?|.7{ɯ}bK&}1&sWg)<"!eG}j4sӴ}'3`~۪ bc5* H7Ä(Ё &16q28+7琁p/1cb)1 @K K 9Y7}BOYK_ vm6_3vqvüLAuIVR?Q[k!CRs zԽL¬v<m5ә@C%ayh*xD:(C{V5#faH[a[`%|,rfxMl@,ȅ_9 ~o:ot\m?.؇_ldO'1Hg 0VuXyXek:k9_&NNMvpBO֜5ڶo? 6&֎,@V>缓ϢοL.r*Nю%1[QGp$D{y&jD:/^6iU7e8bu. *;ƷN׎R>t[ķ2kKvVBѥŊ%x=2آlc?h"LjϤBv:x*gwӋ|tN]NGBS#2$,`lXX!9;6st7~vp|>uf.nF/OZX⍆le*ȭ,4?Dn ?F*}r[g/u mЇd`~o~N?@&]'Qש;W39]=ؤpV$~VکjNw1~vN)vD:BЃI;/N9s=-DU+%Nd)yg{09nYm7{LgGYť;-8ߕWxH7E,Щŭl7h/[3!}_ԗ?nh-@bC:3EǞ˶H1<$Z#"࣎_,Xt] ݬwm1 "?ߍB^;FڹԼKV-qר>rdZs CU~ĒCm&!:GɓoR;ƭ0[=!юb)[[|\V 9avV)5V̭|ZWDAڪ{_ājtGQv+w|Ssbwq'!p}PRX#Mӭf\=,YGW 3XI}VE t+NhuVL/QdHktxCz/G9g*v]0fY!cL% ^Dw3k}' faA,Vt:,#hPoiLNWc-Z>N Z8mʃL!F# @Lw͆eМq7&NDJWhVl;Bo^)D Lp0jMV6KF蛎Ge &hrggCw&ӓe]theb2]g Ce"'Xt@$QAV;[/I )VSΕUָk7 ׶VǎPrP`ylkG(WiyP< ,uNcwFݤj:|oZiIF b_ȴۮFb7a\ceQE_puxԱ˪ϧ&p [+hbOq0= S_ص pM^vQh!;(c-bA(?>g25$>닻L1Q&m`|plC{N;L[M[qp"+]o[g k nঙOW߲y4oBMtί~;*[;84nԃښ9M 繆.xti8p0@w8U}Y]{pNVS$W{۝K5ڄ<ݒ bVP-F6]*Kw]4>`(W>fN`IM\QEG~gJUwL9L3Eb\EgP^Đi>^F/KX(181JpS; ZUpqV#YV#ĹڞNe3Jׂ LC_nGVft-w MFkع]l'`*agih΂YϖfvkOǯݪde;Ait]u3 ,~b5!]NdSkf_O~t䬿*&JfF~ݎ]]t'D0Vڐ-) Fjur A_kj*׿уh-6z W݄$ {>k0yqc˻7q0FVͫS'7?b`fݞGrDoČ\. tc"j;Ӄ`?Qj`^ޡ/hpp] έ)jh6{/bmDsQux; -vG\-Pv(JL@/y'_-no"^j |.yo/c~@o ˫;&:1}1,\evӏ髗O?^? ?ϓ&7x%YˋyR}$fǻJ sjVv?Bh0b^I!KJRH'lg}rI1߻óJh݌ ]`_: 綜&VA߭3 ? 1RP l`hΌQ+?Wf(Xh҂*@KYɕF11sp١_Ag (KD=Z8)yI. k3>ד_Uf0o2ytz=DUNpe^ˠzv/%*yIQ ݃vxl6{ D阴IS_ U\{I;.!jE3ҝv&u.xxSJ%aCcļI%tYCE"h\xlF̂aŁD]6|DoP&K4;U4-X*r>UI$tN[|v6(>K>"=pEo' &B&v_T:'4ԄOEs.jJ*wslV~*:f#VF^B11n]>t2XSG0VS2AhtpڨtM8M끧S:_W^L'UVIL`~4h ڳgFz*ћ6T8) jAV[NQ׻ DŚupOU˭;{VBekt"h;p\ $ABb ;V7D0ϭ&?Ձ59%>YHs>nN.#Wj~dC~n].A]w*vi2T1m<[7R㎏9a,ћLpo:p3Ȼ7WquRH(Nhv=/oID-T&Bckx9גLwJak>~R1v]{L љ?dle{-W슈OLCn~zo.?^t5,.3>wE {nz#Pl9n#8'K?xry._&`mޖ:($ 8>@fǏ]>{?|~_'~$;jNH:ܵʳ;7*Iu*`(ripa\Sيi7vLp 2 rOǓ9RQfAYзuvѽ}@J^6Lb[ӕ 7;Vu<S,2&As$A 6Y,Ta$T) |Lٻ˳]sp&ƙ[ERfqI 11K4h4Vaz[˷\Dl~JϯȚݶQsl{t99rvW'A1ڪ=z7$'m٭%좉h0@B(;5LoO- N]g&B|^]asŗx/z. }yIKX3۵?fKBAi2͠.x#&! V73pЁP<_!sImӋNtL[`}4?'^S;ȔukDy+ D' \ScT^:ll\ZjB:Ӆ#Ox߃JVhl~D,tGtEC ~1Ixv{t"'ݗy0,=C^%ov}jDK<UʄR Z-3XU$-ZѱTj@֣+XK*Jf&؀evI/+O=+2`e;I?m"[`D:F}xIZ\wz t$MѢ*r$Ntuɹ͖Au!+,}2 ~G4dP c+ԇT} pˉѱO{z[6x?f &m8qWus?GE8U7zԅ#ng3u,^iJg/w}wK='\r И-.~ÅN:Fd2p_'s}:y˃6y]n!x[?s_[!ijffiǷvU, ~P۹ACY b*ެOrkw_bIبyQ%Fm=@*i-0*I$쯭 J䵮~Gd*m„'ɡjebس}vkO.Ѓ;V  ^5Ywnno7$&|޵`.:ˎ Hh}m$,O|7@$Ô_]4Nۓ8*W>, >HxV4[:=Ǿhvׂ&Cyqk ;u*f#`DwwZ{$|<Ͷrjv vNF6u,'k/ϗ68GzUrM-4#'>7C5o.?C4~JV/|M8_' y2=|t??_M s_Z!Θ- DNc1%xH>N~}lEV_!T#o넹ēDn֏ :f G%.!k bCNڙiahBrVGC<8_p3nLԶ]F˜ RH%T~1pί1>XI|բ~$%U)(hS9y@ٕ $hLdhӾu-&:hAx zz?*p5hjAE -*#| $M:6zjD0X"G1zޖCy;;y ̗8[pȮ7h'۲g يNGtd|/ ݃^SX@((IHDM?6ζL|T\P Lw45g+#<0 |bd4e>pOzOeɷ]Q&F%^~c|Jʇ%\&Fv}l;AчFGG\޶mM$0 f]% {l]`8i>Ix3GC%>!ǞbTfPYEf2{оC=CX*$gl~7zwķV{;w` 6炷+&RsXJ߉;xUdiBz[d=Lʧr:"7oM>B9|ҷVޮ: ~m:;󟎷ꨥIlu/}kQ }l$K2ο`{6/Ck?!bf J</&Pח񻮁V-"tڱ]r Z,m1@WKpp_vXY<5_m1~H5$ M.tpfOقAp1` ]:.BE{[)fsU6dbw&GGM?|b.إϻ>w?GF$79f7&w{X eH!߹߸?+ .W3$ď1<O'?_&j;5>_  C X>ې[u\&znurZ!(TibEV4 >}O0&Ê.-@ O(t;jH IVC+ɖ |qyv g@f E SCunf]j[hp kPp$ ypKL][epm3$6UHu>i:2ɞ'G5,Y3v3~ԙUkLhsTqZmkYgB W=ryMWb`f&%`$_R\#69Wufx=`o!Hg3qlh6jJd{MI=< ;KF*G%ׯORB{{ ;^p>& xϟou6fStv@2 "(zbӤd~Ѭnʤn+֗j_d4`@ėEIz{@8ňrEӠMO}]2v,TbS.$';^ЊGAm2ɬd R$&f:]6?f3ҳDcVgSX[ޙ8SCEdCۅ*+2yc]_>=dp>6by yIɇ,={+>]se='7L᠆;sr&9![䢝˺/ylr|йBSa2;݅G% [^'2n'l2vyj;rXbU=?ETs4U#!![@~"&[ 'jzdl9&]ibȶ[F0ZjWiL:d3 wz .Db]ҾrvI| xё~O3vu}$őgRmqY/_@v@2crMXToGD: i &%e-Tfw'`D+lX7hsH:[=h ܅ ї*/z'= OvML'VeM@'!-=hp>\ &ȗv/xt>|l6U!65{ڻ+_j"iz9ΑB1Lɪ3DߕGg8LMב6:^쨜>WOn+;_.?j׾'v^SDv"l `qv`T~"Nٗw?xt~K=ϒW2AMb 8|R9V {nڋɟ{ /Ɋ|$=#܋b+o!b<^"*ZMZ"6$B`D 3W`hƐO13Mbb32\4Ϛ'`3[a!Ќr a΀qt2ҍF6Fc];m֦2x,$f ^# ÏG=ꀓpcr1*XRyX>vj1i^A `tjPY<4 (ʽhP-EӒ2xә-FVt3vKpC>LI?jgضt 8gv[CYcd$>i^ U(k#2ہ|ڹ>!‰9X.!19D􉃑v웽t-S- KWnl-]'50⍍3-:9]Hx۹UQzH6ۭTUOub}@Y4j8nP.'7|S7A@ӭ_Ȗ|Pq9;-$Q}yK/&ЈvjrAȼVN!M:5&Rs7$3G ftr?Jpv:6˥"piqJvm[9I& N 聉&Q5?LWdٕʏNxZ!)A/d7h@Z'mFL|!zG~nNN3?@ b I`(cv;?' 1gn^oS+b:!ـ#ՋWnEۘ2[>p>﹟} pֶM k4OlN} :6iA4,U`30<0?nPn>o E9ogF^q-] zG= |iذIv ̂pZB8 yjko'w;#ʃ=6ZF:nlD.v{ߎ&:D 0:˴j[ޔ胞uے}vUvl2ʎu|u}}noiB {Etw&S3C=$^ߺ{#{lZMf}oŶ{MDdL≒śfO$^G3 w>]].0WGGL5"h,@_ 4ŀ&anY oCb ֕3v`WŠڶ++{_mn^}D.f=*5K l&z*mg D,yN'pMV%{eztoV݊'G15Ùr[ fCvmx˧O&* fp_]zL[ ﮛV-{;NI:.i.|dakI%M嚀譞-#*5:rB0K3Iu~þ=INء -{mo`l[s ZyQ WGv- 7c8\]?'?ni@+6Ն.vks$2OP^ԉd.lo`%3t&W@a ȑoӡ::Nkq5&[Ȁt={5lA8?WU ^Kx68Hl?xścbX 0fջم!3XJ Y? 0-vwl+7f[O:xqbկ;*sk;d p8~:gΩ0ɄCsxD~l7.q'gYӛO.bgd-/R>r1(diOl 5\qmolbZ׭/6F ޯr"}GcΉ$|-rFǑ#z2jDq*w=hjW8<SxRRx:"jF,ok!8F7㙬S~bbZab[L>`}N± ^ג-}yFlG*G$V!o~]+rH.?yU_/_҇6~O2*bNK ]'I&ɉ U`xU7}oqقލm^ {L|ȯ.3.&36-yۂzm'Nw nOUػgaɉrby_<|ח?\s6.h1Xy2#~qC&M|p[.כIۭ_7^xӢ,?&7n /g߽|}9A(DGElDkYɁg0JqB r=N}8nu$r C@ 686@IDAT N!^4qmGCFXp҂^8m,$|M ж?x|!dh\|{B.0Z0 mWA,DoՖ=!0=Yi@N{͌EP282Zq@GmwneP1*}%A}Pp^ka$B ojǸ'nuPwBY4+ _8ɏnV1{4{<ϊS#$ʧsu IjيyƤk:fudd2}B- Qg]ؗpW8g ?a^6.Y%'^7g=l:jO)$p`ؙ~-Ӽh ⫾)xY^d$9XQt݃ȁ|,7CX}f+ɲJ])~9g`Y# ɸۿ6ぃQ *4۩(f#Nt23eP,>%p\5|8uO%TwBT`+x'y ẃU7 kr2Z'ݯ?r?_wFH [ ''9)õyzU<Ʉ$VtXd$Uʖ$W}G8`;rL" $U(.`MI*0hAZCP_uVĊ6yKJ϶& ţ"nU|ī&ؘyvmD6r^ʊ]8Kakܓ0*> 5!w@~cx"h<#y3TdL%d7]9փN<3C\#0# RMEK4lv סcq]y%?WS$!{66$ T XLx ѠVV_AF[%71Fw8\̬"MѥەMml%(Z7D8vfǪcʮU&Ce6h/ ]5 z*f]3 A ]69 Anek ;?m>WJ,WHuTG}wm~ثߖˢb|W2,xnB}J9lΓ2ʏarJ~;|ÍarN~U-=kZpyZH-_΅'_rK/oz85l~'?inFN\6,/'=TA%Vy?wc<^^?|)`UnѢVo^~?}d@cǝMc>:ΎNηCx3 >~/߹ܿ=[$бZTl<qtTn+Q:*f3Au,XzJaq&8d阾Cz`ݍ5=r]@OQYC 8.t$ 橒h i0Ӕx:cxAI )BY4(Qi@w?xzl>X}}@c FB39AӁ\~_*7A2<`BTlmK`cc1uMB w ղ9Kt:N஍-M&4L[f(2R&dԂ{P@SY_^_\vY֧-V(jrDFr:`^dA>]RJהl-WV?~5 &\6[*ag{8[~ٍGQg!AJl|ud[| %[^<(q|Iؙ[p|å zlxT&I4Y<bDr9|wLw7J6 cɿ _9od1>#s}胰xN Yh #rbio.Z:"Wl ۛUF&6hƛs{0>;FA ޹g=/%yԤ6xӖ}V +WX[h!'NJys <||/O]~ۿx7x2Hg.Jw΢m< vvxlij+?`rwIn8Z6hO^..`ҷ\YlFv3[] K mav/=To ]mQXu̞MeR:'\4/_m_߾|+ 98&\ٿ}UhF >qW);".O^Oso$;Jn[Mч~ v^.?,| o~IrvEcnbdz؍:>zw/DrTe "@N``nZVMZ̀7؁,F\ |6@aȶ]qyuL::&[4X0B9,:"x]Dt@ kA6uRo2 3VBXP{+P(U6hAڐȫ%ӝ`{ k MĀ-><\\ZGm|GgunO0<5uAҹR(Y[PH kEC7K?}@O[y~A8^p EʓAݽ3 _Ɋ{ߋ/~m6TYe[*xLDgDL\ܸ3ǭsNAn;gGdU/a W >w!"KIfyL} 1]M/%Zptģ_,N.apIM.Ԓmv-u0Eͷ]yVc3{m<'FOL=$a|a;261WÌspkGA@'~w0Bg`aOH>0YѨ+dw9혘q~DCA7sMVR`d5t\|bI:M66_xϞ;ZO@}AjjC::Y9nҵx:z-K`dx21~ :KuQ+BZ!;gk8>Wl`U `u|u5>0oml׹?yǪy@e6_%/6ZǬ%^0N;rڮv 2Xf$ D*2r (ECWG#EY›<:ON2b:VQl]s~ NW!)f{ 뷺߻Ɂ6 يݲ6dqq}o'ttM%/fr &T?^$cFw<~JbnSa'}mH&3'oև b obLxuY0CW2o- u*}& fS:\iqnj'`[hC}w`).;>Jɭ::g]KVh }]e6cq\7G}AW؂̫W+)?4YF*`EZ|sl8Q<0[鿡0>L_<7$}k_+yqT4O#Pg6ƨZ?zmJͪ΃-l93LWF+[Y,;oUOoܢ}p6X\+s{"TX9~&Ȋ>^ъm9.hҡێ{zR:Z8N}W9+M,/~ך8_~O>pyjlnx- ]v'tixЄ.W<fAb6<.חF:&w͌RĕSZt0:9U=^ d_NGAhrKïVxrsȮnen Nux,cIþ` PhHt9Z"h`xx:. ZBϮ",5x KVgKd:bޏ8Hŭ~=:ydNUmhG,He_;Hl8ś~,څc n$:U靳66w~{7;Nl" 4at$pH'~7D)Y EOQ7DxB]]I'˱}|4}UB[_5\]WwC"4JR`NLs'Wr*`؀zcM|3Ǹ7Ư":JS #/C3 _eߺ^n&}a:|}mx To7`o:6NG(%)Rşp?"qu_<#^UA‚ulcWNQ FgiTwG ޸ty9;uݷK.>;v _ FN RstE]\̆`|MTLtMn3tIs/}ew*c}"YUfƀ:`U:Z#aYI/?\kE[(|RlfCd5=[xux5Cߕ?v^#h$-?[k876Y!n;7C;zG< jM +e pJ9"Q^}1!qovKc+ZYf個{>b-lʛ}>?2ҿv~}ayOwq[A_?cD?wg;р٥G._?tpMٖm34\cȮ_xvrɔ="_6b_mf)[5Z^8<}.{ٮZEX!o}3`Qވ҃KkY0cNV?o #}~~o?Wқ=17=i%_+#*^PmI t撅Ne4e}_ FޔnbB 쁎#D `k‹^ivjdui MNݐQ)s: ^}lыd}A $s6qKpm_Q/U2Q:tqK|I~ُj hH9>DhF+U]15 ^EcPя'8g}b<<س|GW%ze' g]!կ-Nd82@k IѤX}7axNNN{5̕n62{r:ܘsJL̻-(;QV"l4Yڥ3B}W;AV@dj!bxTlW xѡXL?8ޱAsKA/0BFer%c2eQ=;7Xv/ہ\3j s-g:^FWХ$lt>jbu2&wz+:gCѩ?V}Lf9UnM-{U'g{|9M 'Y~[uK'a. 6g8Ǝ=NV2Y'?ocV}Qn0V'4xlj!cѮ6_z`bhHP |曽}`8PtxrGNNuy۳>}n}q(Aq9riUW*+[gNyt@AGyڸ`8YL,xEp#2όq$)z\V$pqA= )4~G0g9[z;+SmO >QPB* NO9a3X4QB/;$l7 a)H 7#"x-hp0(cU-m&u%߭n5 C592fQ^J(>f=h:v` ]Sc[w ۤ֓r $9햭)DkP֡Msم2|GTYRtwh.XwGUm:Z UYNٜBz/:]c"h``7w/ȳ:kQ(4']Ғo?'0{ägʦ# jŔ(Rrf':IN첢m))&B_ixaR[/_S(;63_*]= 8GKlB DxNbq\4T|*C\XLhEsĤz%1VpW,oD4eE7|yvi=n3ՍM֞:A+RqvopL_|M"c܈CKA#<YL [BI_%OBr^A.kHxV:\a61 :맜Boقt(>DG3)#h|J }tlU0sP6 ڶ OvV6C\& IbYE̘M i꧳PT|T?XV3۽y%CpdJŜrryу Q?D]/PFVki!b5 x36nxN?~uOVv@^lwʃ"X<MNO&1Klom&l8O{M|ث+v>`mK;ux(p@k4 -HdtTA_ڕvz_6o5e/؄X}~1Ѳmq; l7?9n(qc/aKu P@#HfNeQykVjXl,FM<[P?*Co?͏V>P> 9ʈWٻ><|}+?|?/>MmMۋ/bA{΄,vYUz|Woݷ ?D뿿 6gm,%o" F*~ 8$ߩut+{S;1_yvQvT?"DhM.p9}*Bv ёU04++@;#49[ ׬)[ZrzݯN!нwzJSz# Wj. voNG$~>괥OuuG&+ݪ`b^z$;yLn|q6l-t0OewicKxH wKw,[˞saF[.2D8׫|h:cO-_+5dk+`rlr,`48|h PN+4 ]2ɱ|XKvpn{JsT+h9ic{F ›'[듮V2C6+v-&<ɎAp,ِ;pe!~fB루vh$&E+v0ѵ݊iµ$&La_e I c1ߙ?{|\U~SyK˶c7.V:LY]b%/ݳxQvE.v>ޒ!{8Pc1>IO;4.4GiG)|XW1ǓzeMv^єV^)weM4'ewwq*hd5}"՛ϊs;C~&*$MI3\Rl_r(ee8tW`3PQh@ MF>u7j 96X䁈>YY-Ve GA܏QNkkjU)R\FM0L ]N羳˛3%zJ72㱭:c z6~RCݷwhipmRKR:L],6Wi`_h"̡R}e_bw|r(?*:9NV/{z蓧sIl"Qу ikHDoNWvvcJH;ˆJ0(x4 N:n|RqM:qTj~GC,j/¤j~t`3ܵ,y-ghʟBu5%tUq]FJnA FfwaK[wՒC;pݠgo=xm)1 #|0dcoylɥrǵ|25zp {2 BeJ:6 eCi@b=k/m8@>"O!~G4L&Jt8Yt6dk|zr`8Vg#Tr#WjW跴_@Z,rlLٻR7}vLdhO&t,PLF0ev;M3=֭Վa;aʵhs$ngW'Vܤ@?4*tW:'|dj7))Hw_thdMvȠr ܢ uvuQNBmuݔݞ\G#U?cFl"f9tÉ G88ZrQIz [D䳘MJ=vV ׇi|gn'Ym}O~C޿N>1QR~㉜Lf<?փn$ܷ䃌0"HxaSH眀g;x>,\Db5l+;+L&뫨rDF.z@<Oi~^S5@՛vKyqɃDG[Zz1꯱2b# 47=N+?umt}d5JO>MlmHuqg_}[O?_>y.3v5;9EQ87o~HnB^=1ИdA%G-ODqvL׃&{td2$ c'O 7P K6܌q# MCP`oq2~ yOSG*F҃A\H9mGzV'Auw3VswTM`0؂ⶴ0_@~l%ݞgM1o#)yU`$kid3*t~ V@e8}}KKw5@}Z }92d+2ft4X#{+{,fjn˓hr>9ҟNLI $ሄAbGL1NU󶠾``32dHVB4&td&x@Nq5%AU:B1ϣũ ]>`Uq()= /TAv?0轿Fa cQ"؞QV&$5#d՗2aM.fѬ!DØ2{0|h]{Pl6075ʟ\ݖWF!m+h>BEOUFE7i0I&E8:zj(&bʉˢx=# wI4Tc`Oju~=y'GMv,k9;׫ΤHOab{&ؼ^#Nv(ρyV~OV;ɩ+r@IDATOk'p*֎ z*ZP} nAI%{vR~|\ ruN#L J o4t~?L< _Jϐ\2xs$+b5PydD:p`^IhބLyu"0(ε` <~tDq>YU 3F+m#{H: mT[5G64lrUCֳ⮣d|ׅx =?cu/g;t=*'3v=O~7r]]6;L_qd: ,z\ F(tME n-jsGJJ gxҹ&tgN𠕏[|T4f?Yhw_WDr,|1 t93Ԯ !)I#>WW%|.@?xVݳ+`<ȼtOYqhmC>FNܚ4ۙC8Wq|X.,ٳx,+Bbz(SuPz聿g( ;gbnk ~QiB3qW_2OQ!<<{NϻT@;>3FHhp1itԳ("@Xf뛟U:.mZp,=y_{Z,JvV.XWMr.{G=Л>V(AYFJSBj3 IUh*oG{J$[x3G̎n,Y&ܛʊ;;No$-t~y}˾`f(ݧ>In; hi|n8ak׆4m!Ы  0ŚWٙjC (-m3)Vv}#??OuY2>xȈmQtDѮ?Oܾ~~2vчl6g㏒[La%y)r@ !M0Lu+T0K(v@*V7f9ga4JyĄQR8D?!ye%ă'4-F |=&g8UVbr(JX8uY 66[s8NofL{dN'oh2Z4ND\7ZRl{Zcs2 g/ 1uD7P_|l;PѽZPн4x=xu^ŋ/2 Dn8^h[ "y<268=uڃϤ`-+Z3T1=zħnA(< [7V@OgM'kguF:1`g׵ NW mA`<ٗ~ _#J!m]p6jsJKӳgNUu"A#:4o4`tC+ X, dH_^$ 㶓%4[%B4&B HScM(yumpv$dfoiX##W6\g0 |G4Voh%#>ɕ/FRaloƈe:/{׋$G+7UMM?xuN)ɖrVt t>ROp# pYav-ǭUW5(?t{~%")lK07 h]U;+lPDgvOh;E{,S9&X \uXٓxڽc`ьxqUxNhK  < 젬 tbJitmLA-p7I&+Uxq'kEdRq U e8~R>EYCGNəf[1yᓊKTM.:N+8R<܃(oZ)nyuV]UΎPz2ä;'b/U*6-26YS`3&w/dIaѰ6DF]WT,DZ;4)zկ[&`w,[& 8FbkK< ):r!R‰O8&닰3|V0]ڲT3kGRO96 G|+ -%qէ6Uo_wwgmv7ᛌnS;hvgbhea:z _p$Ӟt}P~w#V|5oK_U|O/Eϗ[ m_?Pk gg:DIO6Mdg.ۥ>,hQ?o7x`_AxK.[WB^ Ы!Żw mӍsxNQˣyrkvdaeySA߶euD6E⊟g lV\N`E,:c7! /$xk,) 0ϩ׉Y'<Uw&gK0e+tbkɜu*pdhṛ<Ȧ=pnm1<2۝^cdAvq#ϳx5$r&vN.zίŀ+<PCFHRV*Y0OUw$~1A/'ࣰH2S|TM%^.)곷b]Vk0}&,oC# T&6}fߪAp3{;;;B@~Qz\T:~bq)C%^xwTx2%ʓɢ/7 TШ^ЙaID v pIKdff'+VHXӱRhl1!FO*cWPs6V:k)&pgC{䛡)=ZbЀ._%.5kȃtIv|i͗Ǜ^unb"iS 'hE3V2/qVl7BG~*$&TSvnDbG6ϟԡd|?Y4+Do ɿN $mBx$I6596i|2DxcgR s0UIDEĜ&WOǁckx_G;Zoe3G޳x0!BbBW}j#;/l{Yh F3_Xz1аFwG+Wĥ4(g ^G|+Tg*>{?zp$ w>`bD16\d0Owv/N__g-^l`R'cNr?q":*3+T>] ℴ> <\ĤU'B!G&#!w||w9]h]]~JX\~sw`{h#dc-/,\=<[MC( =bILToŦ{e(J!0!M$ٞ_a[#*: ?q\%=X(.1ٺ^v-.n^uHH#h!ߤ \wR/|=mq^\qULd#7Pd6.x16&lw[/źaq}bmב@xy)[N~8LWSoMre'Gs-8t}qUKoLx++ۯ_5Ƿő>5T5vh}+Oknno|w;vAƒD}'v̙'!qXCxe\h#,bl/1?3+Ƨ PG>* ?>ac#O9&ܩo[-מZ?C*EU;+.r/gx[V؟hG dzua(/'Rσt޶$Cƣ`E>L:#:$~m]n?_#`-@I^mx[H>lF{9ts4k=UvG\"I>z9җ,e_.8$wS_4ڞ=J>*_D~^~ U7e/&Q4JlmjH22 o]OXǟ#L'>Tf\M.7װB}쀑.Ux[wr]LQ.S' l\՘b/ujaյ2gtp*6Q2 j0+ ΖkY ~:1`(.ZfN']q?>'sr GOlUŨ|vE28g~ş=-&h!_8Xu[yJv܃YGt;k#h+tїl&ݴg0Ō Ą,\Qǎ P+BS5] ~5uK |+'XixώZH葩3V@W˺ɱr÷Dr)cBb.{x7V0maƮa}~jכKYرYPx\ŷ̊yoR.+Yv}QCL N6&\&<:҃28~ڇ:g#AAlxEi6=umg z_PM`|"s^!{ʓ^~*aoQ)b4`m?~v &P+=\2Qe|%dqUc'r NLڇWt?/ifK1ߩ*R19?ʨ?c;#ʟ|h]/zU<v=< J1(ސ>Y<e1!b`EvMnL8q&GGc|P_[WB^Ď4|:bYCF[>lz9?M+(Q;C?_>my[Л(AB^uu[-lVr7,l̂b_ߧEz{$8?.{KXx -#d@f^K#vSRo %- Mfڅo=d('j1LD3Jn]%-fu8+~cK$C{nͨ?|qw_gY$6YZ[URӛ!}o{eL/|OƉ+t tx/=u_xVBcf9oBMNhoq3Pe|EqG6|vihwLJؑC( QtR93GQt*y44_ћ-W1”ap{c@ZJOLm?A;>}v{qN@41I8$`A4j 0D$ yeoH2PCДŰ*Cy:p+Ir28f`OxWAP=i40o3X:5k4zٳ'6\.myhޮph9Y%8wRǓ_`Mg?vo2ӌN(._Pڑ] Ɩ xC3^l:<ج le rپI.xM>? cxx.&Y؈Y:F:Π;RkS.f|-Z8ZPC2V ;g= T 7*MMjכ А*HWfLhK6|ˋJ&* Wʘl*s'keC^fpj:ggK3LtlTZHݧ\pm?, p?ql,:gT/u=9Une Xb "@~F@ >p8KԞ*$M!Lx[o‰ /VyJ6qK# jkf |h.ΔxA2l&#Fϡr1Yۆڜ :g'l riIi:LI@nR:rNpdD&iro;*dŦ/pxn%_LMLu<]_ϒSu= g1YW~N"1pOუ x{Er6܅i(Ə_=X cwx[/ʇ;_x)2t3MHt A hVVmZZ)x<14z<ꛀa}2|HpH}0m"x){1;nw;`1c.G_p/\ecoO6KT.Z]gp8u̯ .=N 3`Y}#rGȖm>捥׷/ۇϟէOUs t6!blJ#[/Fcz\/V!eU߹GA,37(~ ΫK&lҴ'afӉ/>owduݶx  WڽjfՁjvv69h9};ǩ` "v d?Vn7~CEKjdZevPzfn ٻ8[=,@`>?я~w-z .zұ ?RMoM'?!s{vف?G_6)OȠLX`2,=*.2zR)GA}:h{ΦI̬%Uja5 4x #T3xьQƉiZ QI6Pf$&+OfH a*M9=,eKbOrGi@GHp{:bgĞK׻W9N6SZ=ׂ\6+H#Y쳮3"uEl|2N0+zj7}Ж".-`b=[_x&X7JH8237ц/< 5@!dz{kGΤY]J6wGP؎(-* hH>|GG#3y=vijjLŪYlWM!370Lx8zk4{rD")Hn[Rq[M ]e@I.{l +#݃l&행աVHdO蟊IhT0ϭ6᤿):b2miT5>rT39X#W 󗢇kgdSJtNF4<[Ѻ'0}"4os2f:C6;ݱ}|)in,W`(݂ceJ kt};K\K' zV.cbS A/^7aRNCqH/}qL'I=pRt2x6[9n76x}/Vץ!r=Q6YP GLApWE,,^Sb\BeHP#h*-%ovpvE[Ƶ=|TR΃d6_MvBۡX\\R;uiVo4-,gHӖ,vR EG]\#<4,F^G'Q}cABpK1\!\d w,FЬz'cmܓU5H IS,xJWC"y/T.F`<κ^1 :n>mL- 'o5' llB_9 ~J`R 2g"Ƀ~6<ٲqL|6O 竘>yh _ XOgm u ~жx8n..tV9\Y}c0qn:dnPJg ֺC|)/cܢ w{]+|&FO ϗ&χ abc Ǐ X]SA_L"ȼ#MDN"FDe}z yA\~h%ғ[h Z'g(WUk}M"BΪl<*cɋ])aQKN KӺj>V*o?QUE+r[ip{; ʎҵ/pfMVbwL7,ח"OlZWqd I>h/acc߶ `hWR[kn&ɑ"pp,io[NJ|-M:3DG: 7v^yHbl7/x .vݿ`/x{<~*ե;}=۠~O~?~d}8vDߣ`'9j^5Q~?{?ܞ4{!זkmk/_1dBHZ]l0ȸx?0NXzOLep|ʛcEjv ^9t$m6*A|/0m:95jm8"(jz3~^\pٖ=ƭ@'Oo/P||ՀmM[@W.b(?_q:t km?YЋbL}dOr SDffDF9`/}.8M`Y7le?4hOf;ln dK9uOV4V6uT6eϢx :HM봏@DH]Vӣ ú%3 X@4]b ^ Z*c. vwf##LTZɮ*矕ta{m;w/5v‣#`Yu8@viˎ>I_CCu-,KA]eg@}>fqVɭfrv h Vgvn$21No&NNd.ț;/$vлS) X(:< d(;73Rb2I&!c֡&!B_C/ /xb #6D+/`G]N.:W?[r wU>n[xizMѻXuq@`ۂHI]ɵiH*N7z}}eF[%':Nуu67اs["ǽDGT-t| m ԩhzUdѴvJ(Bg "%_PDN5;o_6΋/&׷tݯңeQ~.$@P]6-Uλc)qC &ranF ɾ{y|*O_Vu w' R_n[zY^݄M֎s4BD81b&u*ZN܃vñAcp5Z{|Vϋ埽Zy[&N}t w2N~ȄŇ=DUvN,V; "~M41]}YvuZĵCՄ "gWkۣ+ QM]O|RzdQ.sΈ'GgnE(捽.<&d 9M&?goo폿~x{U J~ an |_}~ŝG:; {vv^ۖ`kCp8 r\/q̊ձ +s(9$C;33L5×1LP2E0P[]?v sTJ$M D;1"4cWCpF@! ^n +)Vso]O]'k<-c',Z(cwR賭ŋnS#@l;^J[uW!^ǜ 7oit&7u;'[t6i3YSQ*8iGWK?BǂWl; N@UN@gYXӞfVE=ϋ/:O|0irnV87?[bwV3wmg >*nt{xMNvAUJ &L/AMRF0 I|C3jX`W&4lXH_M4:uX_tlr#9E{sh6 \Ln[Иyꩩ!c3Վ} y4AT.Pht_!%T*=(q?wLː/`ŞS9?Koқr&=êٴrXHdeW *˺K/0ҫ>脯NMN ی(p$M_}XVR1KB+WU ܋a+l@۱K.!Ё&y+RykCÂ+~ EVj+slኗ9E٣S<9UbYGz Vv# U/Z~r>@bxNy6L-@iGW,u[\8'vйcK>H.cLnAe)lMAv ONytsnFWǧzغ@/ WZW)2-تSr%7}=:7 //{vTa:xgN?MGϑҊ%AxJ>=:Wd+]OY_ >@.hTkdWu;?8"o0,hmJ4ƓHZŘ@kkVW */JFd_f_О^յ:~ ·Ctx8>8hc|EL_6+xQW:mx+d^6YJX[Pe*W^HΕBBv}A3sⅽTȯ/_zןSilHf#m5ʀL m~ׯ)CZ|yZ`Go׻<{E۪u~8S(SmUw[-_].Dfg~ׁs9} ٶ#5d=xt]mH<:t╙۸,-Dz}dCɉ-~]:Ա`6v mq+vALi 6݀DW ?e~A1YU+ᎆ`N]px S jwc+poݾ׍" ^|%0- ݜ3֫!??9oo+}kPc;1JI2  8N'D,NCq}m`ub 8[h*Al)7~i{7'})S͉3&PӺwtpKYi*ѻEk, =YTSVY Q:u:8NI2M^'e'hV|5`0ӛa3ƨN㠑@MLI8}G<3_&­!nj\ꫜsIKv<޽MrjO0(0,Uf)D$}'@؜b:$l;}lq/ {':YGp+xp :[)XyYs9OXrNfGhd& wl2QWu6/BR[ܶ4Հpՠ`PNZ>fwg> l>-݄M*~Jܸl21fO IK_LA@ʣ~N6/O_Euc-^||8SMb^E D1lrD>ɈGiʮP]6~0M0;M*:"3=b4fp l2 a< jҏNi5Tl$`htDPKn _OoK/ɹ |pz3x vVQj38=8י&6ŽOסxɳouUlshNGM/NK.hBI2;+o7b!yM ?4F;L й*>܎wDܯ_A`а12V:lAe\";=(>,>2g5[YGjݟ/t̞}]u }?O8N#Q rHwVL$kh&F{mà ֌g+mtE;lšIk&Cx qGtt~/C"eE_2'#|ȡe5u&V P_i}O*LЋGx92lN1A8"+rSRˎ~r[Oo+XX E2'lܗCgGu~H>w% Wbc&V&vmK^ݞLK& F 2%bYWmW&%jM>xF[NU[>±92|C}GH_> aMۏvOY"G>TbO]v!φn"=KttN9ى{~jхh3p;}v^8jqPm]?_?wkz{-6nF0C۱1<{hr7qzHCEHVf{') f0" Nĉ 6ˌc90A@*Kr0рAYm25E18{4ÝʚR v5xICYc։7 7],кm0Y^(tJY<朵>=ѽ @HG+ Sy*A,Ci 4LtI2k=X"Lz{)KȊ?;݅Cr*tnG<|v,ܠbɘqtl2.AN|?}x GsÄ^<4:8;?&Mࣟ(eOeë13bF emVg؊γd!<~blա@?c~8Md'b`}A' O욬ehq8WT' g66gR@|^2dJLbzZtU=ěWL_ O2U>:ڛo:#8)D9zUe [:#ˏd><ZA|rE~~OvѢB"S+Nۯ]+>˿|owEɽ=ݯL]c%{7^%'WwOߤlU䈦~ڗj+^@׬\P&ImAʜS~h%zF缎-Ƃn6kT{J+"FDͲAFl`{1i4m3< {1!c섘èȖRG4c^ȐTe)*NI%*2:y_T6Hfn*ӭ:; f Jgl6H@ VAafB`^$pɬh:򍂬kD, F^9(Cdoy[CɎ XLȩ2 <"OgYdC?쵻E:`6"}l>TZgF5pUdYp{㖩NS^e*ѐ<8}2U: Kf2^ʑأ m:qp#>aV9cJ<|ۀv2g3:aVϲp/YyF)qU|K S QS!nu:uʌʲy+YLcg j K/sN@ت5/f#tKڮ&~ݫ5[G(duЛb! 5LAP6C>H|?OW^'7NBl8|x@φCe|ɓNb7֭W!%;@?zi҃{f^X9BC[Ų3 dOO[I,c򊕮3l NdʆF50"NiTś>@:U1%+G6yAif0mrrB?YD p Vp1<R(M@zbɡ//uyi3d"wfmč~fŝ'5Sy[jaAbegH^Y]U׺Tj ' ʋ6p5>pJOA,^{T̊p@%R6κ A2{pĄkDm&/`G^!WQֶ~;,Xx{ 8hpxO=*]w%ᴧ@KT]}qL\]SuТ0__? Ԯ~fO^{:ћox/?m/;뿽Z6Uˏ> וdXMFb29v낚J5TYEX3#SA `q;OgYq:`h8x 匽A/ n#kL+e0XESQPeg j ar,-9z'toP48@[|](]tF/;Rf`FfrC':o1 OGla>YstL,`œnࡼ~O3*nj7ŝx* lʲ"8@𯒊g8T ě:Fc>Zg푃ũJߧ }6G3uN<3?o{. vsyH> # r#BU!nF')YRJ;m u [YLF@s :?e=qO=@/9JJSD:=΢ -A.9?huI y|kr?W3үiI iHwD7{FQ4:E[TdN'h3*nxE{$yj[.ћv8^Vep8BK"1>^KGhSZÞM⃃=2X {Zpe[' m-W][4@75foȉ%#qD)#$l`Asr:g`v! 6bWv70٣h̎-.L g+s&E[FQd籦#ţ5cwwa~RDɯ| nY2֡=n)b#?=2E^)ŊQڦQ0Xw2[r>u L8:wv.98H d\cӈ3P=_*gLw\rԡPGvT4u.\ <Ԡ,K;$yS{(cM6g ׫ZXBVsa- S <{=UWL8h)S[3$%壍'w3,HYi3/,u{+6b2=ZĘ;Z>U=;_<& ؟6Eo`K9u ylߚ,/I'hA S8{~}#b :Qj fҵqMHh7 L| O?|rgUkk%)0ٰ7i×.6Z&;J? ^,o|tuL |B# j7npwݟ_~_kW?EO2 tI9jsQL$1v5  lc9teB -++xzѳwW#f4D^cH(\:0E$<ƠќOa$8(U ꬼ έ4s> @ιFp@ Y{FxCV8:< ڞ6+oָ`|3"jG smΤVl#(qPEh6RyAʒuU=2:NGB2lK5%v|ڦ`C3s7]khUNeo'l,T)Ǚij*eK@>0`;Nj a<ȑ^ nrUS_5 VEr3:> j.O|@XԲ<ɛid#PN3F/Z,o%n ;h_ J%d?y= ;s:& `"=k3U0N mZX|8#'5]c{Uël*:WrM+`U~zn~xC~`O_oe@CFVigӃ l-GG2W[A$z4uvS GS9vʍgiw[D(8O؄&&ufxŖSM7u-(bt ԸȸrE<8 ~&HcRK=b* .|'wQn616 :dɤ8e%w# `y`5m@]<8<ݨ 1G̲Áޒ? Eە+L*<+_p?rq9uf]e?}r;_,( {{Q>sz:66^礡\6neǝt?\_\tL<@t|2lzydzdc>ͳ*:쉿Ш,vu9:p끮pSZ彥$@˛ja:pvsFӉkټRt 0ڂRy2ׁã1Mf=lIG;{L𿸲|(?ͩkñxd;NG^)["CD,:.R@:<乺{!߲ VC1. f^ J+"sqx5HOB7^xl6z14S,:x `AN8sP*{very~W?g= ew2ܠtk|YzS{?_7߾o|P { 7&ņ!t(#X%LK5BO̖FO txf!7j8R>g!>XRpJ?"d\(7*s}ZX̨Fr "vuKϲs`K1U qh+_p +OGنs%Sz^h: MU:f}RxAq.er|?yײzrZAS̫0qďFpÏv5b_#XI`HZF^gµ"`2ѻþFG$n3tC@Iг5c~~6ul#/]@_ypltHe]2peF<Ï/?}ٳA3{ a6ݢ6F(&r'Y4(+Ci%ix h76qw4Goc`2]1S/bq51;gKx%;1Dlv#dn~],[RfN d}-(2vr 젟| })Jb`G[7+zf} 0.;+OihY];*o%e1wKW;hs3+~[_#Ja^"z܊ g 59u6~ypEX6˫z`g+C:IorDu~+Z?s܎:\[~?O0wǦb}`‰r1𵕴,?#fs4k2j7£(:] { ͧw6|pptgÖ,w^،sTk/ܧO{9>gw?v2p&\se *E2J-VV~>* 6 &~UGd]%kNjbA:3II}UXC1atZ}2^6gZ1xb"Z zFKX_U~(\o(|MD{߷Ɨ/p?_=*۽ݼQ!H'yu6볝Gω+w!AK*0ۜc#aQm - fݕ) E ~0Y4)!8 Hm0?i Ce-- d{~5]3Fgg&4#ۍ Hk;8RsBfрy@tBo`W－@J>eu,{D^J򻱛}׌əN/~m,޻ 7m=d" I.o4|/jʮ.ƍS<> t0 w65h3v"/(7 D9xUᙎvv'㊎X&/\dFiɡ/چmC dgX9ڂyzZOef-t=b\`[̬GYuR 1ֈBQ%V&\K3܀խ 0rCJ)FLʣ߯NOKUV Ppq?-#gO+ps6yB'Lmxg?p/DO%L:#c!n]=rXU|&ջU.+Q\i tnW^\/-}އɕF *9}ǑLxziՙ`l#2o"֊n=no4zmo{(n`!¢9J }cn_.ѿ[&z)VN(p7&st,Unөx~gnd4oɡu@6#7}]m 튧U']d׫Ӎ4z&َU>˷Gʷd8VĀ`DV6nbV~ܳ?{Of慓'xwtVM kW d`K={`=v_o_?rz/t m=m ޿>_?:MPEcwc}͎\D0pD6*5Vth 1*y2hӊ퀩YMP"DC܌e۳:Q4xG\2xH"Wt$(Am(:u;`\eZ*Q}PV[!rA޸g}8Y^ uvPEǻJu:kA4t.줈eF?kin,o4wVJndA/U3--%1gU_qoW/Z5-hei"R8;?v&#ZL:j: E 7W^rr#\p-VM18跙#"iUCl> vjS눣/vE}DrYC?:' l[㙭QǕO{r. ctVTa}m%=aNT4䕚Wic"p"xO̶Zb[!1m/pk̏5:ne7/Ɏ Lӥ'h|8~=gV_:_$+ FJlt =o"&k.~4π0=Lb:x5PtŔi0|& *z7{q[&JQ@Ϗ7p9!l[^'韆(Fg죿G~Ul *:'ktG#2Yz+=OJAկjh\o鏾 bh=jVS_ϙؕtDv`6*wkˠ5vX5&M<>(-f!m []qwzQ4>cLCc!#lDDΘ͂e:w Es=N:xNWVO-M.:"}}<oMAة6?7u{u/^ _  ,x}Gl,^}z7+uMPv+b<_]}h3)>h}/jv)?*8z8xiSoxGgOf?E?Q1B%U=&0`m<]"U4(@lw}%_C狚_cDcR3G*' _vV7?D}eU!ey0!5ѦT2VǂICoNj2*n6nJ4Q䠐9~](qwbKsfRY*?^%'a*hC^rU zO2/g* o@Sr{6hha˶zJxujίVɜt/zDe%{Ɂ8bD2΂e/h@1Ak4? D)葑r`Ɔ5lK(,63ӝ:{F F'2_2AlS8௱ Xg dSZ$N6LH{_&|5d p{|[3<2QQ~sWaJKfeՇb<;`dLE3ʈq*n C#}>BH`d6+'>,OpA}mpfuFt*k%PUn_n k5?8@LgA+X9nsNl9%Kb[덓3hOZ0|v3J N|G`-^5C\d綢Nps{k[/{SN#td>,p:(9 Htva7l;k Owq%Bom8B pћ+fqnK\Gd|udEikci1B裛=R@V>f{pխvξgxt %G QJ;NGFG d;H̑Ȇ JE,SrKl&<_Fb">ًs;k^cb!͇A![tKz/d­Gqz? lB I0ԙ{T=#$p:}#7>LNopŮi1q}3FqģN׿g`F;N %vomhtaSo+;k_j4k{ tY鿠`5;uz$0 !ȊMh{J1qEY OQ,J6|e6xSU8&6IF0UX/P M27H|<7EhbX(#Wi0x0,mΜ"$6u W-)l(jX@'YjzU=hȫH2ċ+*t"KVTҭ.Ё `ˊd&/*aal{ՅYT J`ӓ+W:~8Ks.Od- zU7ׁ7G05X^2#o4X'y3ptH30,Y/wfu ^PJ:7:+׋{"Au%65\.:sR-o''{yO6:w-< tl w9SLɿ4FhfV"A9e.H%{@Fxtķ/(;߽z䁰.<X`vfÀQ"MQ*`_;`t b|[cd[A^A&S{tyğÉPwIL0`z*Dquĩ]tG b@!mrA[|9N OV+g_g:;OIYJtibN'T4|:ʒP:2,c.,%6^DnB0Gfr'aM.L<͗ԉQHE]GϨk<'39|;^~6-A$ @nֆ߬h`Ŏ[;\>2B|@w:MTsƱQm{3ly,ayzDwI͐!)8f|W9i74x- 3@x5Xzo/_~O)2~6tY  f'֎~byq9UBK(+)POg`2 Oׁ'/aSl84 )x}1K=C90e;L"A3GrdBAfqO tpmTL;fƢRGQ&_ Fe)9r| gIK@~sЌ'O;edl{ 2 H &@A9\O7C<0H- FuTX.5-!o,1ڌf bg Waen\rѰWѲ/tR@ ӹWzimNU& hQU~:6.e d!0؂c2[#~K'˿WT~T+)PSV;X:q3]Z<|7v}^&>dtY_BQE6>;*7{O1av18g[pFT1w∆q5&^u0xp(@W+D?{aOg#(-jTV\B<-I(ǎf+^*}+Į}DzW?6 dt pTt?&[*@glzP4(7 $>*6:SB&` y|!VFcѢ-_Z:h0ˑ Nw/M_<=V;vObCdO%D__-mLN],.ć/֨O*%HLarȖ^Y:jQ_|yíly^N?C+0:elOEei q!Qy~ZM"kg{&Ā_Kp,zSY`8\uڕ``MSY6 WL( @IDATK) k3t-z͎mmT8i,8=^ņgu)IN@F>G{/3ҹ^2X]' Jc!̮4N Bң(| PGr]-9ye^iFA+44-#^9 qxîs2EeFs t}S"˖LUPޗ7 7mTgyN(uƒAk_9Hӈ`r*y_)س%A"NVJ1˲:JQɰ;Fp$ 8t(-?c(E@3MWQEF>xſt]CWAK mQ3gC4lZeLP6@|y;=2?u:F.S8Y 盧 3и::6+~X@#:d .(8PPC[L|1hZ-Y:P6Ʃiv8+,F!(:6rc?%^Yjd;C4.,Or;)Ot&p \ſEQH?TJ;tAeWP5>lD:y& C8@;`^5CJ>@æ͒% Mݕ$fBԘݧiğe|a$gk  t4wVO?]]%T&K.' ǯ ýH7 bu#/@hxu6І7AO nPp f\n>\'7گ3\#NQW0+@5ģF7&0=~3NJCXnoҢgB敖e"6B9,߱Y烤Q~Z9Gz 7>83Q[]8DM'щe7u|ы]b~wwô4ڒ# <`@-q^]@.[-?O㇗w.=S/smU5 w#,QLrs?A?bX#҉}س x̡?-C}+^) ƃ[hZ<οou|DO\- ?S6@ifClsz_ׯs3{̡ xվ=m7wmlߟ (ˏMGer|{]@/IfW~˗?\.ﴲ΃ 7U ·ou<=wpڀ"{Dѧ!Wuݒ5z)t <b?Pd" XDl 7$d ֹ%u/$ [ ΃%{4ߵĆt0aK/DQiY2edI:t/;N8+mdSN•Mv ̔PJ#rw˰萹bH> YEXzpuAOѬft+$&:6yl2H>dW&OJ{ģv4e62܀Jf3ٷ֕LjHS|ē rWH6@4Bi\O<ͦi#}xG]>W[xfBЈg'u yWf+rAۤ>7.__~x2b|vlht+pǏ޻,\JG&`Jf7X$W5{fҪwpf액\EDmimELq8ftuB2fF6' 7JNl2:4BLѦk(8J_ʸU喦㝏+GA)?e Ftvie,Zj-o@B9 3η!έtiO s"ӫ}L/vE.#XNɜ~k.9Jjm#h0 h¤a`C]ù0fb\mXWgmI*\&7]з];-:0prd@Hx5nٽ붦 obZcr8c%}l^UȽľ}zqtr52hR?\#0+ 7Q-ZgQ:<]nXy,Vkc M#gC>vVX̶i+m^~aL'v<q'NbƝIDݡ*U:xo]/T86R84eMACʠmnTGaaX;J}tPy(SBb{@ <+>R~psGu٢k4|PIUhO'6DT.A:fHEq@9:qمxl~t/(oRktY FS Y>#&xѹ:dymHXb{ ::kg,fG|?EV&#r0Bs}i T3UmBZ#&ircAovo-Lq~%u]~*)A:|~I%:tOݠDeWn's\T~ ڰbp,8A-= g\)GWcGi B"1)e7Msw:fЛj3&ͮl4T E[Zɓ$+^V2ѵN؈?xn]9~#kq**Zvs-o^~_˓>LgފXl-66aK6&c]VihgYi%YV' nٷO_b.CNYM&D>J]s!\3ӎQW')0$xqU:h]x0%L( Vrx6yl1WiJf-~E|>0X{"/Y>cắ.u$x׋\JGt:~=GOu vLCg Ҙ "uVOHcs3Hѧ8ItF+ɘ ΈSOY0D#uPLy:pF`%X{fkzZg1\TJd~1ع.{{nym X8]J 6tf!Xb4!2N]z n| <{ΣS{r%zpb|n2"]ӎy/7nc h"\)rŷ(J) ,i]lǘv{,B<@vH.J*>rH_?W[ vBqNMl;( a;|\"!f!"󗃟G,m{6Fp$uq)ݩ-DEm;3FJ^` 4hr+}h4tJ0Ggx=='z0KtxUlsY+|jxZ;裼cïjOk=*WqjcBNOi.q].=DF:knSPSG~G.3&n"8v?W]}_>ȃnZ37h1mf齅AdV71/k>_;۩1J{8|wjc$: SKp,βMzaKA А>&ҋ={Ico,%&O4})<( E/-(|6X@x+3ϼ{ GQʚ?_+w7qx@^}3;O?j&6a|[PݟӌG#$̮P aΤb%-, U [4jvac@rA`zN +6^]EyC7 LT"efk_?#S䑿JKAUEHLɅBOY &]F EI`!n#`eL\~Z_|~ρA `p SA,pAVi A^bHt舓~/r:>xRI=UΫ9ѭK3]>9Gv,99=:yXO'/30^]VN F*KOUlc0^8xYZ_}]7A,<ӬT'JEGOBC[aN0r >Q~5pl~GͶaq㍯Z9~V3WIF$NVa*Әt*.[Yu1AXmmUVvUlQ Fgd>E@~t#el)gVcG̃ u= Cɀ.[jx=~A?*}QbLџ <{tkDuqm$`kv6 s3Hԁb}%'=n𲌨G#ӻڀ_xLe ~"5Ae:=u>$1н66|̇zh10 -10aQQg OSv x$7uFX{ _!C:PILV`ۍ=}oiki:?ܐm(6M;6#4 2H~u8m~*×p~:: 3Un($9=~;'Ųu뼎 pv??(Ͻdҵ;]|nY"Î/{9EZLl0B t`6H+=Kfr+9O|<,E»O߀ /̂=[ntew z#/ozm:u! w32Ѫ_sV@Qbel)Eo_109rkgQo\]Y[:m1 8QP'pafNKIؽ7k|| efRH<f8Խ--9@jԎb'D 37F׹9c㌫H]ѽL94ܵA' +jmȮ q6k=8m~2f[g"P9қ]BNg傻VfL:0"NcF`[`TI T,k\uGEFif|ՙ7g}g"`t}j  Lr,7ʮ#o xe ~NIy VX @͕mʰsPﵹ!D7]mHj*&J[KAU94V5>yEX`Dds:$Բ  X 7w9;2{yI볆d v 0̐lƥRLNplA``[f؟JEZC,:"u|>t9mvNL6H:\6X ?ES$(C:#Dή6PZ cxWgt A/9#$]x<דФq;4jUhɪ5œ7z |/^q!ZLdl}p~$ Jv4O&}bc?vwBI/++i{VF4|M*4zuJrٱY٘CvýoP,W +6l5K~ш;9ǝ-ݫ ]}l>"Kë|9(шg{((b#-Ni%uߐu>7?ܥ*{dg5WW'\aS ~, DlyIe#e @iD'.$tޖ18i7GA|MV/I]t }FfӔNQ> rC\q|W)ZC.ro0A>[Ulѯ|9i`OxVZ~7:?Ҷp7 kg_8Y\3xqf2}Tp'4\OHN h(/C%\E~Wz)(1yprH. jՉT.&/kFy|C=b5#++ dGsZc3dcMu٨*|W&[Hk2l0H,tVNTTpFp'69+2|οU鮯~ZQ=IW Fpc7Y}=JN#3k_寿:WO("". Nh >=l~tqD?,@p/]KpyW߫՞VU?>)ngZu!:cC<{VR_I^+<9#03RǞ-XIrHEb@+9E՝Ldy3oޡnUuWjQ؂&ZiC@6qEk Mz;<}~Eȿ/"lǎ n“g `@}RpS2`Zٛ|Yb:[ݡ7c7PMA}u: >?NW>]Ts *K*'2GVyNN&Tg<o6ک Qb9F d稗oTn`qf|0Oxb- վh:t}63k:}|x\ʮod*c'ܤvLEO,;L'w( 1kK,aKqmvðt< : LPH.oe }L0L)z>]5t;%UV+= J"5\չ/0'C tHBz"9hd[K/ x3jNCOJ,0^-5ݽ0'C֐Nrw=3%|]u'[S%3sɒ} |87P7;qˍ>dRi^>:Aguܮ'gypc~1>~n'txZC1j/Q1itta3c7X8ސ;'n~+O&6۟?݄sl}z5̐V|m[1C04M){Wv#Z04+K3y^qOv`8}怃>VI㡿 Rd=18ᩃʎeY snHx;C[U!ⴃSYX·vv$Vva+˺WR+*4Sb6ڨܴO.1)Tˇ3! uQ[xzUБS$);J@<\+q65|΢3p( N` F/g_+~vsvS/|8[[n| @v`[0}׳T్ؕe/t'{|L[,;YNY 9@; rnM^giWI" s63`amzyңe6tcXF>4';d6Efozid&+Чo^_b& VhX9<=~O?\W`י҉B >ұeIR0(M0kc eڲW:B2B;:d0Xٳy7(7 7-+Δ$uξ.:^Ei7K mHUKG=)M![ؽ@ G,1=+wރ\, * PTYit9cj$r33H"0_}#چ(3~Xq8{۲#i۴GI@ilSHP3(d^6F+R_:'佁d`ܗ~ʲes8;Fg's{-|~p+m')NG> F8?:8x |XVT&XŨ첢 4*W~HW/v%3v~.]%5Oy A[2Ncpf9yWNkl#_~Q]ч+xEio\f%KI҇wA_ǚ'}PtX$ߝ o WX?|M8znedEi'Nգ]C_ eYy[S6)Е1ACi|G& 쁞w7.cu (u.=BY*V.8[Z d'w!oyBRn~`Q礐5avzi\yG27>Mt~kkxάv~2][ 5o6Іj4@<^w]22hYOGl7[8@{lLqpGw׷7ٜ`:bgҞR6 suYzw,:*gٻC,ݒQ 7[" 1xfALNCgLn͊,%}I'ߘDd4Uɨ4b6 ,W/62K;~'xy"< ǵ`o.\V^эέVۡ~ODlFKc'gyp$ :?m ʋ T@ѽcTbaGj|Õހor3j#6ܬ =vNl 8eK:0mGCb^W`UȘ ;r:/>80pC N/ܮ,b7#rW^/xA_n]>q dH~{:cۦ:px܊?X}t(62WM)|#<ݽ^ ! 0累KZA>#:tWҩz˅## { Ch/7p|?sCV]p5eMf*v6b}ȧ3Aƭ~FiyK ]}ww3aPH@kEt%>L@IDATԞXMW~\g}*|ea !&0^'OBE^o~`}u6|7]#c|OG.?y|݇WA0lUNPF#mᓁv*:r w<ʚ,~؄3ϣ~Mgb$v5iDz2N$[dRQ{kCzkCB_Wĝ?ފ[R_V+\fQ8um*;tm8+?m}e)d9=co{4(93>P:&*}lL+yo]|c">5:J*[)MVѓc|wLT-. w8x>gMj[̦U?{gc!_?4"6X_R _93 ܘوD$ 16Lv8d$O͉'8.K0T`4`tƓ3Q 8MEyyzwR ȡȃ>8ˋN:l ]wa˗pr;sڈҜ' 9$uRי#N#G=B5~#xc^ EfF_{%86A/T)hHԛו{LzJ`^'6PĆѵ#] -(engNhBǓb /uׅ8v:j|Q`YgFi5A& l@]9zb ]=~ j|)ģ\e3-p:3䯞U'1' =h\@׀zڽ=i d`-ߩ{q^t l Yה⁑DftmэVx=ijuÏtLOhvH}Xdy(#.%/r' s<',$ob#va@R\E&g\_uuio)|: <ْ}{5 +mosNI2Ϧ/-j=[1e@ t%+X`nꑿ2hUtRvr[K^]v(S  j!EN&g4>>n"Lsx^:VWS~|PtsVj8U`6{3xß9Z]];/}4޺*Mʍ#&02[Akغ L$XѭMQ_ G2wT-UIwkAO D2r6.`C g^>+O{yyՙ}:wB\y׎οP!:tLe *ns^54s? V4A+#S^ow֡lvXyhG7cAdҪbun7Uqj!cE>ods,orӁ+w&y8w_n|/-c6w?AOxp X`ȩ<=pvF=޵$E[aOJˮ>F'# R`D=˷7_lJJp E8`7@7bmCPi5#8~qVjk&ɛAO<{Lg7{JKw?跂{ {MVP됟MO(݀^*tե dCV:t)x؀~c.ya]^Svrr-wՇlgN)O[Abt1@|aN˗|^^_uzMߧ{ۿg)Ԡ7ş1_v+w <ܫϣ#_8gѭbi#h(e[#z8Y@3Q I5#i8ykihFu˴2eNdh!secFK_޽aX1'h?U( &%xT@T Avs>*+(cm! #,ǖj{Auȇvx$u7$;8Dr؜sǂLQ6KN:Cʨӥՙ]=dC,Y||/Egƭ*Q{3E}*AF9hL:6>gqo9Iuى @,`:":5 _t[#w@dbP q]W+ftƼ !ڻKnϤArJ. ;sQ\=/v/[W="xVwltvv؞G5+i:y%vM<:\R~,;ތ8 1G\>Vܖn5Xk$xcTGuL^ʖǛͣe/'"|hGdܒ']- zA#@ӽoyƓY}4_!(Y lS `9e $]!GU|h_%!tH}diH'Y)bhu|CSRϕy%!O6/2>m3 0GoW>]Σ?Yv3= /C rhHp , 3̥U`>e,YYq~ie,Ȩ* nVj̵֦E̖nER=yiG'C UP:g'ig濂CvIE$h|jK{W=ڽ%XY). nz'_M:fɇVxi1W 0XkyfVWO8C7@Ͼuu0ޜ`Kϥm#O`G +>$~]U 37~8[CXMWt |%c7^6ه~7ܶ"I!e3gbbuX:7S@ȶCG$՟)b1pJ^%V+79;[W#7XQ,FުX`AM7lݣ1 wp)݀h`^)5Y\/^٬@g͵B,+|{040Zwu^ JEcr[&0,F?}|*\]F}wIA>Fx|ЬOZUfTΤ;;6WP#sYPt~%PZ| Ą\5zwY'SrۜKu+/t1Æ)8H5Ja*Jc0uq+{ڬ_ z9phdu:-_p\&x' ǷKWԣdwJ^)ypSOz W<[P?Y"G߇&8j.+NӨ &9e7U_v&xl33WyOΕg:@^ҹsn<1{?$CQ]qƱL$!Y>T"3N/,ɥnL<(!,AGL5b7 ێ=F9Ҏ $#̣S96η\J·'wtD\#F ҔgA_+rZ&M?hOʀ댡MqG-2~6yj]kщ|'ɛhd״(c`.V3 q6jac ާoS(S t~s:t?%1৤ LRv >78 p+%X%lo/`{v dH ăYgtm RgcJH𓑜p;6ŲںP3? Z yhC\`|b>8T|ZZv$-P2b|;ۦ%q>-aNYP:z<9g^X e5JVod ~Pg0GWݩL xk2<_zWT:3uy` h>gXrS?w?|˷_LNwfA&~2DQF_^8[Hǜs2+OQݟO%X[Y̫ uǍTJ3NC,/ꈥxdY!3S.gDÌ¥FX0Ln6ܻ96P D18-NY?зg?7F,#(Nb2D@4k*)_GyF2;dvðM)|ˤ_6eWMN݈d#M4̒lZ {ÕVd|V)>r' i4 ,T7 5sD:*;u*Jusc%܂IeEf9:U3+=s}QwO`}9Yi /_} υi ʂx`5`{ 2$vb9,o;bzS-2fѡ1]Ԝo[G9+M%$)][wgcm<;Iw?LؓvCw>W#cV!^P? O +,oy&و*gT HP!O+]Or u&lL/HRUf_SD0lHţ9xɢUw/NQx35|F>tӤlʠ}C_sJ6~+[GO}uuhV3it>lO,!sӱb/ ϵ)!J;J~wk'3z`6h \k+s{JA]-'lhNtEPdl]6];M\&_SYk#gesqyP¡x@NIPWDM }c xS*D2tls1?rQWcZGp\=3@>pKy,Y/]ȉH>bRV#lld$]t >Oa/?KI0+⋮e<-e:C|(WX\dtXpk-_BfK/sO_Gߡv~Y2\;ԵR*SVk@׃E4w8W'+K֡d+t{ XpQSN+Y =|0!9brhme[^ɀ؇IEq6]s&-v4oIPI h{fSzd_|FS\J X~HUN(-y, +֮y@̱u}2#{c}Wg+ѣ|s |h@7u_6`W)ΠKo_&:Uu^[\ Lwh[ wMV{0Ӏi2ǓѷGVڡndG[2W##;[{xPWr+/c.␖j=/N̑o}?|ӆwop~V|%r3hLy:~W&Z`6b^Lԝ)$ǖ-5El24ׄD1- L Jq-&f6"CٵA]9] , 6ZuV4Fx;'?hFe9EQJrV lrT>Zr^*|C3ic qno 1ң r8Ȅl.=sөӇvK<6\;$3u4TaOSdfT}r!gcmNGlW1j܂c4:'XbOB\5ǎ@f?qK\MۑW޶g>Gp6+෤GZ*S/-Y,E6N= f&:zG?GZ3 N+DPc^*#GVyHaDli~.9V/S4c Rأk-ɃgZ'Ev6#ay:/lF mBrlIXA<.K4t$h,FQH&he4_< *6!xYm(+f; ,h,w48m9&YwgpKme߈`+C)KrY{H'tP1.= /XB$@EMVy4tԊY08 1^FҳO2tIok7$ć66:>B^0`Ag;6kuJ?EK*5$gТ72NNYh֟z|-`{壏B-hJ-w`7Vcʤ/~:@!Y{'abtN_tolF |k`Zz{̒ӇY]$SGfYTKч92 O>aw 3#枼|k< Z]4*]|`km{A&KnH iIET=* Y+D&u4|C3LiqSzK6 _pB@0xkK )؂Cv-;=]^Yc2XRv'_=4KG kr-W@'Q|k}8<o_9D>/=5:'u.Mۮ^DnN$^*H(olO9Ҳzt@Y eR}K{EiCB&L|u.!K{%jؓb _]p,mgwj&qJ3\hOaS,O_>~z73ϖ=*f8ڸ`>ȩDYlRƂ6'g+C6=V1+[za<Vy&`u=38&Ng'gtVnH(ѽk]$_O}uOʩWN7@گz }2 ɖQN7#J0x +;G\kP ˲IB/`Fwb{u"S}"͡%֑HA@Mn(E~|o{#˧ (?CJ}չc`'z֩䠺CA'r6iE7(gv|jwN j9?Nv+$.%;yx.:ƫaWupY_pbd/3;X;󰤣$*7eWٳ v`kY4tVuEj'G%I[pC13?(9ynFN6 D*Ch6-`9rVOp.?Lg.z=E4J>rg)Lw6ES껎~?:P3YleyԉQkY0ݛ(WOyS>2,bNQ!PȪ<)Ïŵ{3gg,LºX!aw?i`Xtӑ8mt@f 7,vO wAW?Gg6!>{ vtj C2C>8pFdvjP>'H>G vH٥|m9o0n6ݪ`A -/Y_Fs\q(Ί/ENw|ZWArZcmy /g0<&|z"`+kuSld3R Nݨ[l^xO{6ȷ޿|m;Ǩr_^>{s/h} C/|wK^\|6+= 7ӝG3Yg{k>B'K-FKUSR .ј`Y@%Gu`A/flG9 !&T~6畹dM 0 m_6{W8+<͕gtD}ٳتeP^?=togl:11(=#՘ nH/], On#6F >`͢ mVm1Hu:FjG䖠x)mKF#S8<p L~ngJ:2=j(3V䟃,ʿdAٱR'ӳE:^tvQkpA/с7lCLx=ȝ{c#Yhk Tlӗʍme9#YdlzOpPu4R gT! t`(pJRL_1Nv Idwx6(ͰwTuJ$vz[X,?Z**{eFjdͼWgJ)Ь|?yc<:C.]G4[޵m((yks{`t+U ؇_KGI';x0PW`$􃋉W7|[]yAݖ0d3}?9%\x uBr7<K: hP;9;HNI4OeCx߮2CO: =k?:tx{p |.x&/mʔ)ce}sd?&XmFQud"m2Щƅ67ߩx`%Гx`˸K3 4@E6,C$:Ko>tbI>s:hx;׾c[EP<(e]^aeʯUA٪gurtfz1y o_+?BG^}/5| Dw_ýͅ >_sL{ 󓋃&k=T6GSmϷ~ 0wO?mm5_}w-/Wg?~~/O~wy˳ _߭A?=S3ȊS/ط`H,?Hdi|<[.0sr/{Nz| 4I+9Su&i_|Nk+Mـz(^7R/_W?>W}hVd't J$b`b_/;Pv2ckP- [3\!3Ù9'y Kd{c瓶+*3:`H{g-_Y/#8v~0,9)rQ~D3\a^dNO >Q6CQ܂<6X4 < HGcE *v:/:",FAXZ#lOj49vN.рGuT+|t@)cfߴAʣq4z}٠ A2:,ldS1K/OXe0I.H:s6nU{d>n'CdoM&윾?1AZ68\0B?N]4l:[xOemCpXrx'յA397eHӯs0}A[r;rXs`ww'89Vzt 9!qUwV^GD+* j 9\iw#awP`tvj;: cC{TeAZ?9y&Fnh_ ȵBY 4sġ=^@gLޣT3p(.& 2sbm(! 15O>Lv[:*F/y9mP&+;͵ :hhr|]+HM*ڣNsf*G?W`^CJ`n>!zPVy4g_+Q@uYC>nنǝ:S1%Oc!أ_#mg,M!pWl'oӿlgS0TuDwGz0Ki?yzٽҦǮYS>_:U+xLn rQ)~mѪa~0]M/`b,'3K3{U[M o2O\㽺|QPhN:Qu4Y@u +>mQBouS§Dg7B[4K>xg6*,ugGޢQ) ʂڽq G7xI'x/CmePcL-Cg]*|u9ҵtS=*;ǛzѩO㭤ȫ^P`'.cg DGp-'/nw!oY=4:hXT]j7D }OFotݣ|3Vb?Kx š~':-o9W@:Np,*{`m:`1yױSy^r P%1xlӄNj5t\1YI:lE~6~۟>AMM.IgLMT^fo+b>i{ClmUn.ziCɡ+nm D*ZV_痯><{OaVj/.?pooUTrW^Y ,@cWTd v >êRAG;Q8X|e,'\*sr2EmSf7ѥiq:[i3o_zZc29+k@NNkQ(:A#r+g? *{~OA/[!gyq'FO${ v|OL qMF֐qVrxKt&/I& qTײKil+"ӃeMmĀ^wu`UV3z+A&[>)~J^Mit^ٜWu<ȡ8p>NO}X*.JArH0'p6E g܂R8\ǾF_Zr ;˓DCʂ@6`m4EaHWhKQ+6rMgb2eVEhspTgɫ0$[@35{q:-j&GYW2z9u]!`dlz 6T4'[EgƃL>7"yeJ$fn4ұUHdjO vrK<ġd~7?[Cؓuld%C]_W&bL.VS$oykK|C=`h h*k uO ͕{홂a_~|p<;/}ogtz}Nv(<َx &u,=ߜ>lu1?߲{Qb&Oڗ<Py&*Sɜ6>-7zYN{*)[9Y|[}:';RMv2tnR{{5bg-d@@ƃ)VV_0&/jPț=|xՄ:S:~AOG`* c5jJ`U`M/=v?\*9̺YZz\ŶѢbVO!^m8n»6JH6p|*.ɝ,%? TYq@IDATۛ+?y0._(᭓?1xGGqmp2|dg'>8ӣ._~li 5p_n*!RC/:2PpdUd+h-"9AW8a:֭o#T92Lqp zmm@m9<(/=m7H}O'hhU~~cJpq&wq91z"7j{a%vf(qjc$~@2$3|FHVu9+t)x( Pዠ~u٥NH9ʈh&2] F: FuvfҲl1.IOɐP r4{/h}hdO\wGDKo47,1yH.55d{^%V9;VGu oauy|~m5Y!^;cV(؉~#,* u/)~mKw"2h" 1P]O1]ka.G~ˋ<C ъvTO`C\ B3wq?)GP 進쌈:;^wEPWnȑxYY<_.ܧڍ2 Hd{+|^6GΧݔZSw & wg28S=q:қQ"R n3˯D߯S(^8[_'N%'fdTɁ^"k0C( [mXG˧G閼vqJNv;|ES8=ܣ:\7Kc<X tpȸTY+/fەGПw+wem5]*#ݐ{_٢ty':| )vs#S64Go'UGn}?m`NGtL[զ0> *[d XʡMfWq qI2p3qW#{#ٽ{N|Q;wWwY}?V ܜLzzxӻ_2w#?5/>~.x~0W_$bF~='~]L? _(\*x]SQ2KUGe?jP OlaƮ|W!|ˈgH갓A#42HGq~feJjF*|8_Pj{' eM7x{Ksds]dAރxo#Ѧ.LFzJ0 V!F?4.|'&?ޏ ;تqȮe^>5.-Rw,ԍl Lxe{'.#j:U4mf+ۭxu%*hsԁ$Y9%wk-8l/UWȤ'xV>78 O7]<ɐl =ymN0?.k_LUGy yfp3<I JgV{ȟ |:e]5qJ*YNU{?νAdLer(c#}ء|lk}Ҝ"L]A"M&|&`c1SViE,Sݳ#ExY]*i~68,6Zw WFUyhޒ&KU޵0I *dž>>dbr"Mr|hbر!ş@آC3hēd jBg A=Q}RAt,tX{6'MbZ'XYo%IgD/)u:Ɠzǹ Z \V~'_\y?s?}߷ MfœfqѕU;{vq>Z ̓S}'zSh*౾JtpMM2PDŽD PHMa&Ac}hĭ<ˏЙ`&͚חi4#]^xI;σiW6~_]~zr/{ކPw(T)V99BrqEg{IWd[g,9- &F0%Gwϱ#9PϘs`}#-GfF[ i3 YXF7Cgy}`mYKjdm\gBZMsJ00>g*/1ZΒMnge)1Tv =׵etѵ|Zi959E;]hƞ9!LuS7Ǧ^pw#vVfËZguCoaq}al97stYX?Q) zd5 M#'h_Wq`r,%kƭG!xop'euɖ"{Rm@#}Nӥ@0=]_e4xXt>[7fiF)Lb_Lq3iO6w3a,Ʒ)N ɟ!EO.gƟaɾψbg~yᘜ&0`=]E<=.}3yyrHw(W{ 4t}NG(@f 3ȯ=j@\u^WP"~ZiC0#v[禓Aέp_(DږUj}U*Nـmu1]'[]hs XgC @xVS;kuNȞFv>|kƒs|U}9${>4Ӵ.=L$–bhL`|cM>0Ma>9։)ۮFRxulHY )hG{t?uuVj XO.VQy\HO|6xH{ʇ3PFͧCF|:\g6J|zIl Yl,3v|]䊟=\Nv]U+QlYpD 9g~LOǎt]v#v!3嗶&JϦ-gy[R_S %yA%cejn"_C_KE̖^6DLDwߒnz}kHFrg4|6L]e2OW췒6\|O2t@3YrƎ{FjTɨ)v@RS>s_jJ(`HBWm~)* 7L~iQ,ќ=qHe1w {jAH*^z^<^X=8hw)ه{ 6 `=0iWASE3)pQ+l8gYyhi(:>aPG|mxɦ&l0&}%MWw{=CTlg}hc q QGna/EL|nO_ovR*=虁'xf?|vw/W󟞷:G~vg>8%σg㫒_1J%H&:CxD.?*濧݊Fu"9W%g|~6d:~l5p߭VmX]N䭈`NU -@}-X93|K9-'|$;sNjK 14)F3]ۉTdh ox7\0=WNe\/,ѧ5d2,L:R] @N8K\%$tlXhag`Sof -f⫻hcYzkIK:hph_P^>|T ec{t*GL/)嬕Th넙m .0ؐ6jqǑOtUusl;3ףt[<*K$? d&2(4LiￕV6DEIp#N3D\򶌯~uupC`GO ⽼]twA?d2EE=@30lV^D!g3Lv_GtY.C&{9e$[KΖVvφ<#>Ool_}p y-h L;];60RJSYJl;3d+#F,fk +3ɜO,XȽâP j~gd7ɜބCn1*]3דX^[|gWW& lUb~wXWh0_.\nH66*!fv=6Nw9{ī'ow<2x~4a-lBN_uM7832 Ru'BxX0O2٪rtÉ%p!4*-}WSwjh*Q]UkڑH{]IZd%hhiu W%~p7/_M5щ׋bMhnb ^#(ܵkQhD:hVybˀ']x z8Hev{/Ku12>G~e._<<=YUv>v xkRzQ0`?}1vrO ?}1] hWT|n%FAKVdl0~]MYЬ'֟tkxn *˅nT]zm `3\w~}w~$՚toF89dI ˎFrk ]WHvzo-|Xpl9ymKj9u<;XA4P{\ .ʆxVe> 8j>>ȵ19xEu؇ 'C}"Y̔)('=|?_OFWG~{h> [ot|:}\g>/~~P᣽2XVݠ;x3n~Sir(y5R{p\7_zܫ88{|cevt7<~ǧ.6W(oo__??/l<wTc OG  4;&\wM풥E BdZ~]~/>O/opx8.Ϟ9MBɮܿ8as2`|da1G_krW=v~+"b򴕟ƁtW+ 24}ŧW^| c{S`~Ο_BS4z8j?ߞhzldI# ^(ߦz>yrX|.RvLh1 ^?r\w #dv3xW˗JMؤ1,`7Q- }<) XGBלW\XX9DULǹvaϷʑ]1ӌO {k6M(o+>fBWpT_;_*6 .:zplWg EQH q,щSK<6mnՙRO8O̪tAPkzB{P&%rbf-n"cIt 9 a~cJy{fC_j77Oq0_xSVBOtLv(1{. '8/IPz\xSܟzbo8?f/lƝ35N|FF P}&ɛ, F{F0v.p;j/%ecsHNBKuBD`9񸂭v&(6f#^f79B#`w8~%[V BmcRx`k2"KO#1|I;xK|6_,@5"\78;v€7|K/;Q>H!/wo:LdE lmoϯn2y՟X1ET4CwlvY+(\gG4n/LM"Stnd^]JEdyϤЮTe袣@hw;_\HM4M `3þd g8%MΟrw!cqCTpU+Թ < |R禍уc~_.tk,WY>qoշЛApj> l'l[ʄrv}V:bO%9 Ia8%05_~y?`6$B򆳪?96Ўb8#GS bVRxHVW\P׏9S>+@v돺9klMn h c26Y\f1zl9B4|#ԝW'Gm8H/-LnE䜭QU#we>d]5мO`B.Ik{t~GP"7 n=wp07aSW6-n烎ՁiSS!ik2 z x.ܭ.Y?g(u<17PЕiI%kN_<ڲ |޹<#i[M[NO?&?ʊt>>6S3ԱvqqL {b _y^bl1εrͯgPxo0d"Gg;nqD+v6v 6QťG#΋EgF~I1xb L˜^lxGv?z/vN}ioኬX8uUTf"lq/+ߠNJs$\1}![A4^SFOrïʇvW}5*%Lk.t2l룳8p̂Ȩ `߳cXB`r& :ܟ |#*B{g #'c–`BqJ=gI$>`Pv <~xMgs\K/r+L7{Y N$9:SIKXwf2 g jeNA xgެb~? FeLֳ:Bot>[A q12|lf}3h{,yGۇ~ D`|'W&A~%is?x!'vɃ>nx 7Ȁ-̆)xv I$Z}j' fpf7G [ SCcnP"6]MUt&hT m0MP`Gb6xȏ?կ$ӿƟޟLn] 7M =[ݠzpCz-L6dϯH4vUxpŘUeJ I*ov22䡷ɷS GыWT2sqy&P񰆀Oq~RPx ff`yS'!ݒ{TgWg|_`ҍL ~_] =,xB޽1qV زJ6lf:{?z7|tE:ngNvAdIմϪ(CQ8U)cQWCrUfVkmU#B菇CYxqW73ܪ8[^9r!!m{|qk4p>m2l߮`zihm JM뇬VƇF;btVjyQ}l $KR0v?lG'm6,CYQ׽ nG#PM|5j~( MiW]׷e:LM7?-7^vXs7w?9/\MNh?w7wp!`>Ϗ`lp }4 E-a~E y`~v$#{^%T&2/yݶlIKq]YXNA)h}\u%q/G x;g${ӀG |hr0*#(򻳵c+ Q+g([o_lo?4&}݄w9Y ?%!?O{kG ~MzLtVGuvdɥҝ~U.mmx)么&nqz 4 $lIMp.Zh{xɸvi@r C|j͕Qm<MߝW S6b2 7ǟ_ s%%`==*Szb dJOz)Rj$4qFa:Htl‚`֕dD|Y#V `jI  C`KmukI+X{F3G3 {`ON0e-y0 tFbkj {^l*W扅ANߖ۾gm^w?iA;K^}IF<{iLX]Ћ`ₔ{KW&Uoڤ{fVFO:|^3xOt[J/l \.*g :/}ǽk f3O?hKt`!4 ZŞCmџN( ՋP]/ Fa%&`tN~%l يAgja3Zc=Mو t|:z]mZu(UId8+u#~:== uƁ mj,d0rG~2ٱc\﹤MĀgfEg'پ ( t|K^ݏ`( UpMvd3t#{ p?At;73؆7Q%|biBu><>:eG?O8ޮ:^OƟKxN|+42]V&n&MK!|pDy;eeU3G_-Wd1i 8J}{H7 ҩBbN< _,Y1Q&VL<#o}t!* ov-é>IV'nmtO ?­&5 HFw/CވG|nLj0?fMB(̿*7o9:(<9!;i4[O E/5$opɋէK]'p 7vUk:]BNd@/-U7{愥,h}0.ǩV{/Yfs'ݧu0>\gbrnYU4,HG#gQj;}WtX 5 Z~Y~nTdY=~|wrHn Vf|];|wb-W9ExѲ=e>ӛ!2ٱ主t 7I*LX7Ķ'؉)>AW|Ttvbz&|L>Wo ;]U- Ov\L'b,3Nt^LV9o]}Wuf/ebR< yr@e*ځ61lra`g>_B": 3O@L|*,'QHl*NvYtN:8:|xɖOD >HŦ#&`#kW62lSr܋uA&)%#lHb@v)㘸f+QO\B`TKD%Ručļl$On;`b89ξE0LVte;TgnopHzsh PسGlȃnaM|Lz7"CA Ψ.H,滒'>o=Qߤl2v7}B^l{xZQsA VI*%&|ϓFE L"@[K\`T_ubwYzl x⩠-w$茦hg[ْW 9w$#SMV2ghv,6]o*<cB9syռ|f5:gN?%L \X2"L=-md}Ud>7}UZ BA$kcz# rFXm0joH8o:c[$oTsIg 4<>^,9]e1xxnxdq"m*xf!'[ggtwtĎ}\=$|c-[&,Z}Ļ߽o~UՊu"2tlv/1ij=})/m䴉dSm`Gǭ7W7OU&RbD>rگz|0El-N|Oc8MD`>/Ox ѳ3ĎǿmhewD5fAVî++E)ͽ xG]t{‰"rKjl?k]b@IDATֻ(oL_Mv[PAXec `BqvyYTmzo+5gSzfIm;+RI 9 %6ꇓ-yއP3{f>0%ϰ8$7 r''0 (S'g;#G]!{:#ߓ _}^Ͱ6!mݑEl..έlTWyt<6`=:%$1p"Go:x@>腎u ڒ HfA^72?6g}0g^9WZSuxT^CiIU\`le>=KI+3Û,6)(:Y}Jڀ *ىlgѹKщu.4HXg,ߣ,d,4hԡsb?_mmdt՛ K:szYK{fգK/4jອN 4K66߁fuVo4D#8^6ٮPqxM 16X @W@qŠ!V}ݣU]LĻq)듯a;]\V?7ȁ`o{u|kgaU*Q~)?;{ ! {&2*OivOcɧ VB(>]U>4sʳۃ`#7An'y^U=~l@o&:_O9,V1˫MTfD!_uUK}9e %IAlcnWտF[]Dv8"/-S$}Obc~dg!Z,NpHLJ At٢ .@jqy &^Q4v-T*6Ozy[d&7`Q}F.w29>6A%R lns:X>ɇOsxh-=ݠn0CJ 5H k8{Ӓ9y3z'p뗪oamwAWz;2YZ[uL$MHU:Ѿb,q}nѵݸڋ=2o`帚!+rRW`ƿ؃-:w_{}]`UWF)6Ľv 5k/{܏}_3Uޠ! JdxJ!K?;C^ce,] emx쎭%.ĸ~ V2^*d~=]c1cWm2d)g3ɃǶ=Va kdKtY93\OD\{LJ&) |jpbG~ 4&6Wo_?Kjׯ.H9FyyR%fop76Aqvq:Զ!eCig/%iCCSܔ, *TCFw3TaNAfF3 /PwpPa3]l/9(xo(@1Ӹ`G%hׄj'8[% gd{`|/gP%7mb!26N`g)Y ȚAi5]{|*A,iC%xgqD.v<iyrD٥g|l9P[55J.Y!T3wO[{i%5fLlh鱈6xY g/4;Ɵ6?lӇ!:fvWGR5U*9&;Ctzlqg+z>v1ןKahV[1mmհ395ۘ\ℽIcq*0)M*إC[I{}WgYOjwt-fq yvTrs1 $ N4o6:Ylդ |swUȮj\7rQ.k 28& 5!OY 7'(ΠFڒ&<[ׇv_½ǺT0@k64iig+K P{WSX)0 { ^u&5ڱXN3Ԇ"A|><(7IpI(qa(d{d51=U~&$BU>jmS}&}f2'YΖ8V'&$V\"O>ӝ _&ks1!V\nN@]ףoV)7/<v! 68$#l&ڴ'=D?`=?Ezceo.u0QcD |՘ōDK7́ K~܄tH݉>>t2Ϧ*tp`/y.jζLnEd-<8c%3gk׹x?8OPfGw*)SUu; ^*4Q 旝7?+]~G4Fr$]e4glz VQS, t{ou}wG EgܝӍ-:ݹ`8;^֍Gd6M$'U7'Ex@0U6Pl]6?dջq@/x!<Ԡ|Bٟy`+`uJ᷅6)p}`͍f/sg>7kţ|jm=gk$`=0gtW_ YE3|:]U9ِHIf5ϋ@9e CӉj rT),?$R@b`&P tst/m`|mgrN $A,,aw6|[ac6}D / Xu rf p[d.cFoL@4豚 B fMɖs/, ~r%X\V5#qU S‡t!.c߇y`9cxy܏_VF;xcG m5jzɆZ3R@G/I'2 ?qwmT'v^K3v:U|ej='v]z >$C F-xlЖ&i'&*7ݷvd eut7V+*qbz7&B8\%X&[)wwPa7$/ هfwk2ls㋶KhΙ@ ;Y8e3 w+~& OGy%|3IsLLv.l 'qI=5 ;hK&I_b-]]%wKL l/-])խ^@k2ɂ $taȦ%Q tr~#FF1tVu堎NWCjcb[9g\ \L⻋m 'Ib3ɰ Еoz!f~=lx7)o^D~Ϳbcz MsÅ?qo1]̑v&xr,`x?{Q "s t8'[sڌpWtI uW<!*=XL}:Vaԗ䋵>X~u ?ސ :?@A ¿\zLk9WL;hkoA=KnVZ7<*Mcs-hQh>=04*ͤN}Vgk~41\?SP|6 9 loлkfLp_U"*M + O{2xæʶWM }m!,nws_2iVbO&dmWoFTUfWg~Buη۷oGI+ݗD %vG*Dw߽~_ş-]&#DW7fx,ZQKXA*,$:H=y?*_-m/j1Y<7Gav4F:s瀅BnvdЪˎA%NFy%~vh ?:,pj[|Gc<,wmy2#ē"AQl-*9FOAKx ,Ƙg9Dq[t6H~֖^;3Џ Oɭ> 8uDVA:[p*3 I Z :^>OX+BERzg\?@2`$ss`,[eij)$|Gd2\`kK >poD0L:O•)(걿q~|~[fgh ւن!h)*fGf=1u̫CGgS7 !l fF6l4*gɷ$#NV("6Hz/7zض ~Y#1o_l˰/&=\M%'Bo⃾y ;l|N IL.ɀпɐma|gx`L#5f35g>|J,l2f֖hėcUy Nb/Y]Rd 7D|Εx01U cI&dECSl M0._Щxe'9͗9Jl¹p͎fhOt?.n=Dn2+BX΢ KIםN?xty/1n?4\8ݡ$Z*}tϿHrz G: 2MRgc4$Tt*oulsat9n}l3!pЗ3k|G y Vew?P v=K"^(`M/nwa_xU;wȈz~؄x&k鵗0Ѭ,xQVyv?VgSA6n{}/w`>'&byųO\6,⼢iԫS/MS1d |bn~C)]~ J \q+bt*`%2I+p:\Ggt!d @s@MNm`:w/:/UZDd;F GWi0g_!DImToN&r^q3_qwFћܵ Xh@dn>_Ӑ=];FLOO^Etb\!-?Gk!^Y[_dU_>;"\I'.\Vߎ?ËO\~gَI};HN޾hw59na(WLњ١\xgT|k~ﾓwߋ#a׾+[g?pʄ&g o 6*PueW u}WӉ/+_W F~o[Ll׃mv&JbH<֎]gq87go\m)$ Y:-. #a8qDED5IW8,Ρ#A5wqJ>?dI|^Hf H<­zDSrL}{\UǠD1!葑kײly@vL먖VxN>&!J 2|%l>cGP c5[mҙ/L/z%E hU"c&q 'H.Y(NM3h Mక2@;ϱABT%=dЬH/!.Uk4PJ1"^5&:H/3aG]u#jz: N,'3JMt{soN?txN/{Ɲ.8z 8붮Kux̎u j~2?7U>mjݶ 2t5؂)C+&2=bK 4aa*y{Mddf_%16'%?Zxv&6K.xbɪ:0T?:(} y_.31^0]3mϋ.7$/fzNKtx2HFEso/#ōil?s.Z?5Ӛ@33-xdf2N6ط{q^6=W&3Klȯ?y0IF;(O G>}jm4Ɇӑ&:gW7o^lֈٟ't=]Q|Qlq(S>'h'8m>S6_܎2zs:1>"gAgdsy 鯓6[wT|Kp7͟Y0]$gNܙ腐'TZ'^XgQkFMQ6x6j(ѻ _M\-GQUGyw58LM6E:tb$mՎ>_ 74ۅ$ֿ#sXlzۄF7cX1?<}O_t1Fߊ6 "0eAGoJhښ"{bEs8aņA;#_vqDYOӭ8B*ܛPzN?>t_5Śg8ɯ+ 4rEt77ۊ-7bx00# ›JRy_--_b:y/l TS Z+mw6_=3-i)>A~w] <ʛCЗޮ-xhrnE`)C7+_7aT'J,poD|奃Yy]:[ZtW_rc~NQ7u'(ٷy,mW> 0PL`䘬[%Xm.p>@d(l@^`&`Ē%E!ũ̊-DZ‹3:Fψq߁*#TR2Cf6b.y>a:$ 7ͥ L_2qZA# Ǵ\+"W:cɠ(Р "O6#~2Ke]Gr+O-/>xfol;i}}_[ѤdcXp%;aϸvrJyv@iwoM=_Pq jY?i&7 ,8m_rls2YAve6(6Z̔9Lx2ۄO&7tAV6Gx]H<6#SakАS 8*Ó6.F(WH:=#QBk3{g\QtP.IHQA4r.0f.NJW}3g2ctɇhϥk$76ὁO?d&RwN]{`]mR+_&؝-<c8l+:k? &/ApW&Vc5f|BDmR%tW U sgQɇ,.`j_Yf@3z} Ѭ6DLј#UŤJNs1&n@rPaF6o5 @}XuلM_x0[]2qA&LѠK\8 [NYtpLoM^`z!cP@'n ȣWIDUWI.#;0S*L ^%Y=˸C^l^p_`ώ\+ o}rxtƢ{bG֮ڝ\ .nN&Gf !bln)Y/7bt_= W&֕Ԃ-X/WA9x3=xV^-߷wtN~g!aN&Mu@W>)vWѦOY9.t'㷁,0r B |o_p8YhYffK[q 89Pp/w42IA$:ΕE@}cۑx7SmXV&ϲvbQ6{^cWYx6nym|gߋXI|A_nShPk 2Ϟ6Tg :ipu'_3=룪FKOg0=]`b d~pDd~? K+[B|W*!;Uil J\i'/~l:d4rfM;.}m<\Ed05}ddXd,EzN0E?A %E"AX9&s5B2Dk|pj׽ "ùd={ܻ%Dr1]]-39Uؠ]T9&Ӈ,i$rS9I!o_5:A2f'uҀtM.b z`O8@m:^AR#%LJ`\3RV;D'G:fr>' `dCc3>U[>`ͽo%Cp/jN_+&*;v @j3*lw,NP[cʪ ξN0l8fRkmhl"BW=xTEA 2w|>=iL璂dB~=(E፾ɥ"+r6KFO:lÕ'z"c~v>:ufY#nξ_z e_I d3סP>V%[I~?'dF{?]TGl$8^@@!]9b+Gatj7~ҝ:Thp?ɉ䳵s }]Rϣp^CfVg&+yе$Mn_b?:_֮X]*=({t*c ώNJ'Σmdq#~m& BEo]4EF>yhƓݹ1 [{7裯ܵM_)%E"̲@J+ pufr#xJO_=?©pl凉y?v&{'z)!K9Otw& ;6̟{ v=O~/PZntpVR; ҂Xnap@s:qZ^b_Y__y@<%v{2]8(}ghY6xT!+:ͺ\Z4xiz>-ڂ3 *v~z?9Ld1ͺNVQG-h?Q4;>YU=.?ҟm2(}/xWDO?6п ~l 7mx kȪ#?|vM o5/Kes3}Ua6UCcS# oe7|t+cA vwg{̰!d({ӽj@킬6 48 <ɒ+׈ B mR#9e=&d~YAN87y|3aN.VhqlV1&fh3\OC <0—F>ʹ`΍8W 3|Ad3O`O&:`r9M ՠe56"0zlFeӏo H8 龗2& \; |)hd&7V[AU֘'KG4&.&a4. ks4G RӍ0]Bُu(`̬GFK/}M$J_,_ / fo-v7x Jgp~K"jOd{3 %^"$eк?>^[=I$f;N.d=ٍ y^M/ȟē%;`AnPǵU͘O}x@;xM'Ź d7y f1&dXr  =& V7 ĎmչToEZUݣ7 bɀ3x/ȴsd>{UZJ/pcx3"pm@e E𑓉\8Ra 9;yWp:]! eЕ㫋rɩ$EsL7)H-g #.UڀRTA} o+[L~,$ZM&p1} [sϻ L~mu$~~oP]/>9~A]b,4ɩid ƱM)Uz`zB$UAQò}[&K}vZ,cw-,6KSuءz.no?6>־ j`HXۧ킰AhS &fdZAKw.A{6zpwta:nqduC'_Aۛ,Lt.1>N^/M/ыAѷ9<Vj?'B&d=6եtST[,i +' jm3 =s2%w gP֤'xD;dTYYghC)}qϪYʧoM6Xg{|7f< N!8|>ւf7݂}W/E Nuxԏ}vuӋ^?&c˩ɅQDM7JOkL{/6 EJܪYx\Nt~/|_zW˾ݭhx<ǍW!;hE],,M399 \IRK(uNyA'%5={GvF >(:j>H@밢!AO^;zQ@IDATc~K\iB#/&Ixۤ ZƞRI@f$Zcm`blOԒ%*N3I8Oq0smUtN?rE5_\f ÐݠafDO0yT@L Ѣnb;?\bڝDEVtmU\[A9(M=xV?Hdo]'ZK>FOUç#|Z@Am|Dw?\rX~}5xv\KvCo@&ָZym􉁩b+#5eF0F_~'[/V0l_J><۶o'YbĪɬ"1Mo![+:%]o`ZC/&d4{ЁQ#zɌ_ȵ3ZraCF5:E#ߔ+ldx,h NGWX|Sn/rIF@5Mx`oz*p$Zr4TH(d;֗s^?~A]kU6 \8rV#*.:=Q잹͉5B?MŁBOy5~55؊GdX|c`xw4ї@2_S%3c:;wz8BORfx, A8=ao7x^ǿ|?|sN-Ź={Z^/xęmGN8f;y[ =I%Һ- R/?_??_>f/{bL zѱ1D9Z:[|/J~ Hߍ+sKtdիr%pn&^ v2xMX R =G1>nـ-Jfi9 ~ƅ(\0upXnCvնj3e!wcGX~ٽ:~jj۠P-$~ d=,@{Œ(ψ"J{F_r{(G68OMS%merJ1 H[E8.r-6DHtG]DA43{y ңMx@`KG:P٢k;^ǃm@:i]pR|KVCnjn`8[' < t} vDsu\pM ~$O ImUqh֡"%g%p/w?&Lw4ڱK3Yv[i"x-Lɨ/F0F'pz7/<-* źΣp imrz|nw3RՏ9f h웍+z Gzpiq[C;NkRH"D6E_ev( /fk#I1 EM0 `ûŠ tԑ0o=t+f%5K\YeaJOfm%41f'1 |2Q{EY٧AȒ規%M7#>C"tvh? f6=.U0K.cL&l`Y&[ h]ed73pi>%0Jd,X}3)v(.Ds$xI綕O)V=tH%W]q}|| G2C56ټݹ*67*Z10.={#-ZɇM \CѐwI6x]mYx[LӲ`~2!I%ywljZt5[tLb>騁,8.>ZG=+R1{bZvߝtg;'>jr`Џ.ЅMflíoG}NvoL=pwO!ς~dx+bp]  v Z;e V|-/.kuO:fHur`{sOeh_>l7OguC /abO Ϫޛ,t1g&_hs/g]/+7yKal+6pzZnUO>k u]I_>LG.|O|[pNqN?o^q}DDr :[@!EapدtmCq}^ӯ/mlhd|lH튟r% :Qqx"S j $FT{f1P}OE%*3(W hw\)W?ie9ga6 )jrģ<0O>yzO^\=ጫ=շcEjop/V7-d|XDƼ.g]_%'ݘ)O6Nl[>+D/x~P0!& nAb+˵2HE>;(W'!x8޷%-+tp<:H{ ݄m >o3v ޓ(G_}(AkU (<3u9yvy5q2Sɥr'I&U4:ݷ3X4^k \'j=ͺB$dv>H%jxQ7xyڪOK4171 nF4y餐])M/v/M}13]\O|N }LGf`m*70tiXӮz}㤁FK"d:+}hJnKP:vA@͡Ss$l 2YT`Kk{#kkU;ZЉ1IO=ɟS%$gz{@~8opE?vㅌrY&dSL-P:*QH<9,*'Hۥ~6vEʦ|c2DA Qbe@ړd o;#c*:F'dOw/O<̉LgoT/z0Qӭ;lÄx@ة]lSF&leaNvX4îPuvW_G[N7L,%Ϟzg2| XuvJ: Eb>5,dr\ھԶHn|? V09j_J{lmkX6 fWGJ (lsOWWF JT w"&NXj/L?7Qڀz2n06W=DTA^ f්o7^hM9f/cpj[E_}$7ËG78CiD {q~_{ fC'&#KrFS$ŒnB2h{΃Hc:I]&*.Kb/y3h.\ĀZgzHrA 7!ԞLѿ #njDE΃1GʦӚ ɱM] q.O\!֮):PkyxyoTeC7 ч]w ov]Ed/]~ {} ^5pk ZG=fNy$mٹIY0֌Qy %U5!7s;&o_iT1 >o揝&hEWDvc2W6mwxYF''"RJ<#[|<-ŮXd\}?:cT}8\_?/.^eO/F,o7/e_hA6.uGw2T蹞jˣQm'yV)O3-6ȓxpj\ǖ^օMTA C\]wč` Nd 0`̹~PHx1s \qX+'JYی@Gg8^q4Y%<NC)8-݌kR06cJ"X=8%S]>n,=dVO·$Gj^s}3Wo 1`>tF<$1,w a}߄Q^{P@> {pD22t@;X%d79}2hU϶ V3{yxOǺ}T] Dw?V5{>'3(x'rcc+iztAFl3&{N-K Tf3h~L'9:Q'z~3ȑ_%J&d c.zĞYdO^ѸԘ{ی=a&~Aze"ohϠX|$X{MUIr}!T1K4Y:LO[6M$hAP߹llU+ԀIqWj?3SAk[}8suvFscݾ6)r|t>72١=5|Le}_7r+{jAlnx ^q&Fpm'î'i$Q8^{fÏLg>ar< D6 .ܦhaiǴ5'kΡk7 ]vWN"8h%xK9:!V\^t#:QO&ep$/cQIBZ[}`_`b'ْO0==OS:gh/KNb^1d6w A {dLB͓xqV_^b2 }e#mhq?v|'UtVN70ȪToI)΃vFB}Qt3r<`ãz&@W"Iv'b,oƶVVb5mV/ x Ⱥ_BN-q˞kGz2U<ԩqzk=|4? b_8Fqpҵ Mَ:y,h=jGbtU޷gmnarbmUg%^hMNPXpzv" i?Z:#m!8_7;,:& W❳{C൫pJ^Iс*BZ;[;֦o]s1fZ3w$?og\I}Xc -?7ٗ= oPΣ!X3 V~`w{6M==KR֣ |P e*k@E)a41i /k0IaǰFlp!Nƨ#0: L;?D7CuY |c? D2,f6H9YÞ1n0Nv59r%H$5%8b Lb׸1%gJ,1ϱ\eѫ`ADy \՝O8`P#a:hY@.QX7ʰ (~l[_)*$Vķ ]{-LA,6^4I(O XQ>?,]`rzub)J77f'sMɑsMB jm %/t"7TpwҠSz@:i;Aөd[g-> OrTY"!]^ PkH&+@+/ |dO3;чjt&OD]>xAIZf*JفvW|:\ok9 * UixPO5}-F8Uv5\#WG!k])A0]l*t?>uP|!kN+D88rpaqBmn9p~Pţ&Q0LZс _`vFDIߑՑwN|a"@iArOk>дrH [||:nʼn5_x1!Ϊp[ޫ{]`bM 6X'/(66z$O"pCt#]:IYG-L t@f.ߴ[ݣA]⣞dw io&kl/D=V^灘. FE[e3_6k~^Mc9[>w.&6q||(hO[=}pU|ɒ;Og\_n]p][V*83П2aAt}ab|՝a}q7g_{[oBM{l<~&C4ºOI'(bqlg6˧_;պ3?r\U ~iײdcJeQȡlkҬC0] >"<+rQ=lJW⊇DBf  !Z [_܀)Pmm6e DOQ02f:Yx**(H)GT2 |΅I:̷О٩U1ıjGf# EfXWA]Et[:7dؙR 㼕!y[ l%$L>K@o[:w,aW*ol3 #>[vyO>xr/h?｠Wcֺhx"tIc-N:l^]=|Luѷ`_'k4z:^TN n<&+s$ةPqt:TF c `u:(!Ɉm4t/KVDAnS 'UϞS <҉ؗaĵFc|h)d[}aۍ4d㫴oMIAm7pήAIzom\W]621'o: #d3GG[K6B7M}%{Fb>WL6/=ʬ~uSog~l)ѵx{fy@"%[qpu'onzɇre|"R N0ѕcj-o#;tĊK50kgDNś?R r(zX jFv_4Zfa hH!|WRB̉A?mQ\sշ _g_$` %A}ϮQ#OST. $lfr$`#tkRFBwql%-hu>Cb.5v^zB6Dх\d#r9<nǨW']Ӟ{v1NfOYp[0zC(] hBjV |D':zj/q(($& '%X_53QqDpv"qJ:ѢS)N A!R _Hyfbʤk|Ɔ=_]&:{:!yKu0d/; "D6S)CD%QIR;%`}EBypsn Wٞj'ھ n4F~uz{&/7˛3d؃4QaE|ĉA`nS;49w ߀$& 臥`Cvp:ڎWP\b K0Mx 좇N^Mߞ`l~͌A fc.: ΂\5$ٓ[&=8Cɤ4WϤ#XҰ-X4Dǻj5E;iqɇo:6TV_ m6t : ̐LM.b& ĹOt՗MXuQznQ㏇#HmhdgL]&*'ba,tR&ovYa N~w,tB4W|;v@%gx#CG8OV6a3R溉 utTVzljm:Oe&ΠG~;p$p`I $D;ds O.Wa1+)nǣ5vıd;^qF-Eg!Ivl6[?Vmdz{1塻o~r3Q HG_um&Kѐ|?@Ţ-$-'+ĽcUJ"*-40k.u^n:*b`積J-#*Πo ]f?+R0 Q4SxҙC^){m;{OWgo# Cz[\~M_U> 9&oŖkQ@Ï~ڑ*9?`cr~_j1]OI g{GO\'3қ<2>ћ{X6,['*UšM*/~-Eɹ>{ӽvZw^?=ZՋ3'-[-p[{U?[AxX^m?!H2IV+BG*2sb7zqQp%D >s[jt6cnT~Zܶagy!әAtKÓ%c ߽Js1=sΜЭ0/8՛"=Bk#H8lݪGF> ;e&x<[bS1 naAkj'33 Ȅn!g  f>XEcٖN~n8?8SiBɧ$ԏg1yA;~U`|>z6 ˟`k &]g#:蘱0 }xKHtS2נx$XMs+:>I *Zۮ%чP8#Ce|wCe2 m8]vfx!wWѥsY @12̂M,vu YJjtU/>d~e<3"$#JHLZ|>|Vׄeph=u}?n㵗gk#dO8"dTXDt%%Ř 1{γ }gĥ3~ F\;;wYu"~UNCX)j1th#x(I{}k x|.Y IDqdm%EL|}tLDx(I(*Nҥfd^9{E?p5kW욿MVٶq&?z-߷9- ~ D߾t:}?MہGÚuw_~_y.\dnC\~=k^ىE x-FL\շd}y6ae|KSǞu< t̤Щq 1kGa[uԒ,cjjht }stPx`KWG0ur I@UYPx}exбZ]ɖua#-}Lu8:׫ .2@Iddoc@4>|^tQDę pz֟UAIr&Ozdn=?<^G;HnzmisN/:%86`' ڪjS@|,XG>grܹ-_LqOĭɥ7lV4Z rv['MtvD AY`3ppb7J 'f48OWCCǁMeH>+._=x9 ч'c.`8(AZe)Oz-т0: Gl^ds&4d'lo­e +I|$l82 VUV*\ßB;yCÕɕ _cBHܢ&WNOWE2N)y %nXKuk)@~𘔫rls_9&ԥllcJ6K*e/ * @IDAT #컘Wyu0~*ۑGNE1uS5c ÷WM:=D~Nf?`?tCygN9HkPK$Pv)6/ǔkv2Z眼4p1$͏b109w}nF3|.M6&x=8HrhbOؗcE,$P}c7ؽΣȮ%tW+R'LOq?զ୾أ'PXń;<|Pƛ8H7U!/Ad ݘ9$v 3Јnl0f`>w:H ?DUd5_;Њ"q r1z]  Mx#;7s0*һ[Rg xA,&۽CVMZwEr ;~)s p.r$ЭG^UBl1>λ4-vzʰ E4]dmSY=}ſmU\ ~I$?]Nudoͻ$4Q~u,"v"٠NgG={Q8іnn'x9pI&zM'w^<Ȫ܄ny kŏWpN7k6J]?޾/i`ɮo ֮Xl!uNrpBwt~ec9r,rBoՄmbH.`OdV'$(X;[Fg_ءfrxI&# .M=FW'4|XF@|/:(Ү2 ,0يp2=o'ĤXwr #)e8bڨ 8պ=t@[֑G'Xe(mЦ&3H]}lc0Š5`4׆i5koN4;aN<j{]8e{|Y2!۩F&Ѓ{9}}5-N'O4`$ח?M$ik+{m▸Xy޵#`U:~9U|ёTp;1WߩDd&ho|4 N'JbmP'z#HT` ,rʵ`oW |pjMc^O&j.>È.As-$dOe;}l-ϵ˶@ lbkld5~~3KDJ&$uhuTBTɇ3cz9_;h2Wq]$J~kѮ*)[=~Ec$Sɚ$!rϤ+:+/^̨x[^ՅNv`8a^Ιح [aJ*xGm%^At6ؓ#[|Ku~&+ثMS}3Vϳp`b: e]7ؐ2[ﶒo\SG?IK&IJm>ߎo#qɛd8ˌ&6UA͎'(ˮ&+|M Wǭ;`WӇxzv o0_sE^n#>2Mp}]sXobJWZLCu}˿Dk9)*fwN]k_/?>0@6܏A쎐=m㷶vgcb_ӎQD2~/6 3yd?q?h'hx|c,q++}*Xfq&Pk|9[3y鏒x`烚0u0h](1 vh*ϭlie+dI1Pb㽺 m%ʰTi[o;öa={4GaXV41Ѐ*$soP2܊~ Ȃ+u28\/@=jZN'[%7~YA&2zڒ=E'>73^Hb(TǫzDMN0= ]1wFg>k ¢jundAWdJ}] <6+Γ'pIzԄPD7O1j|qǽV$Us*}z G'QA^rqm7@LnB[B`xg^dlh0aepۺ|rtvDU}k|YRxwOm ,/:] /j3q'{6OP"ae;W_jZʗ+FW{SBxw{Lut)8{(%?خ=.- oƟqkV;d%f}mP,tG 1Pr% <\ mCZ#xqiqo /!0͊4_5jgcî9&k$P b_w < PrU X#^)b_$^~Hk>©H 6wCBs*:%|bd[L *ƃ]QkLWB⡠U{O La4K:"'uTwi#"vt>%׉I B&C7jBF~.~I!]*.%b.|{rKZ8qb6eڃų2խj^$'opc,Q 6_qnLjyr{GCjő@Hr9K$g!#y|@t*5u6o]_ 8ܞ3a3xoeg7uXD1U! @ܿ2HpEځ}KVv0p6}߈ ՗s 5 ,s ѝx|wۏʟ>8=Yհt}=$N>wBx#+,Cʧ-l u}W&cS1`MVqtE?Yk !SCKq>#O8S_?Vmt'Ahb'GWP Zނ NuL>c0UK`4\ ># 2X t5Hl" vPF39W^; ɴ6P}<޻|띇O*Yg"z9ʾz./:KEA{֏bUb6Þ$k7R'?%@d ?f{(x:)7>G/w1-#<1fL?< R[tΎd& ۹~}lH|^jAk' 'Gvp*]|ͫ"mfdK>tya葛Xj=g),kOOI;[TV__n#B')؟ސ0[9X2N$ũ3._ЖJa{gp;IRL'8@.1c)qG % SWODLL9F@DW"Y/ mfXA`6)_7V-6S@n[ =t&&pҶB;92B8f[z+{S#ZM(~:NkDV+^}Y: mF遃ɐhG2qt6pnR;C@и0L'Xfg]7A_s}Ɛr|@/D;JKm|Ht]Y3&t_ d`ݒ;4ѷ+!6膣wl,?|~, N &oI( xtc˷b9- ܢ47E DKa'ـ' &tSr9O?Cx$I ݞp]SNtO'1yl#;`dqFl`' N$,N?Vi*Owd7'>Օ$`cy{h LE@y?9ix)VC$>z7{#G0k$}$8gRW{Ɏ5:S#X“ 5':BՋvrE H= AZ\Nr`<`jJ|~ K LGj<}ox]~ASV^F{L=68/̆/{ggO'U<4Vתh$*)QI%? ϊC[W .HsWͳxrV֭2w.. rhrM>(N!F;!cgg{4FSzs+Dlԧ'Vxkf}ƒ%]\'ԑ2NjJv?}ξo>fe_|"3wئAd6ɚT@ex4k9UsOGKoQcuF :+'aG'K?U|HWO2$W|g͟fKrh%pjr+w;\#uл"j3\͈\]s~ꌞ9^s!f׶}˩ġ%Aʎ,оxH׫m{tݟ\99)?(ח}Y[|'v]RliBn )1!v1֚ӕZNVýM;i1,){0ݿF)[8puuu:}| utȉ?jDyA[m7nC޿H3>-|[%WxDmѦ1-?Q'{5}<-w"?b6˓kfQՕ/fX şe<__> ݳo(x}Xa pU|faغ_g-x:|@gꋲO{f;76n/un6&1xX.ӬGʄf?/AS#R,Q7O1n:Yf,^1.qƳ6fg~}ӆ*~OBpUB@Aڳae|K&+1?pZaNLHve z߃+Ŋ{wѭcdչ-gdVp=3@tlf,ZȂ3r&}Gp!GWꁙC7\@{٪LEƇmz !_v@ }ȍ) IϹ%%Ϟy{M _> F dW zlo2=0 H*c. aBƎVru':fٿu3_C%eFWݮ (oziJl邾(0Yl#~6IwVő}-@QK #2,jDGP٠Kb]+6g' LkcEGQ;"!7gK5\k^eg"v"jFdt>>8GRI +;su~Aho|~o }px]ѯ%ɉxbg‰.:/{;){m`5٬$AU~|ens3bȷАY$~.:Q⸌g_cOpi K4V)fQlʓЗvm: 1z'1Pt볇E㤿,+w%7 tu|؊ 6&̀zѓ˗_~u^>+}0_v;5s@i}az7i}.//7oRтl9;?Ϟ 6Cҵjb g;)Z?0uF1ʮgAdP I|#zmfV=] rՄm2"{Bum1}O1KhhL)]V߽mtvw&_v~t *WӚA_:&.`^ 9n'fHR.eSaV&J6!Q=?v]Wf#ˬ&֔6ʝ^ Yd?Z%0WlqptBSVx !`bF XؗQu\=:?"x Etx<¹1ܠx8: Il$aq "h (%cȹ4cqТh޵} 9뻟p\ V9 j3d7pUEk:"/qnmum] 죓(LXHXoK>{'o7םwuNU{`$q`Oh A}/?@ 38pR߽ Pg3M4 O=f:! [_$N76ꆤn>OcwNV>)+Ѣ_{֊N.IO0:Ō;'?v&cI_R#JЍZoq~F MP~ˣ'_oRU1VѺ-' lF.|qFi<O<ѯeAqu7z zűx&0Ƈ\$&49Ht yS ^q *gsko^l9m1yΞ׌O'⬅ }+KTvxvbέDՁ-XI, mXh 4+)YN;s?YNh[JƷզVRu irn)7Q6WڜAL~?!F50NVmUF3v7ۢ svb \%XY s>0c^)%>||枔lu2-u}8’a\W ΌYQ9F$)Hxbx"8`0A0QF= AΙƶPgnV 2#OGÞ 5 Dhu8 qMs1@/rymtpvzglA[φbrdۦ"aj.<16U7B=nyvv5\/ywޜO1b ASٵ SQ_mIN[V?j`f!W3 : %BKTvd_elx:Lo0gJ8~: Xߌj@xYOG h70+x[kk&u ? dci3J5-*U2`68+xuÃA0]~~I̤){%퉓:"f7iQmdO&k[%)-U[Mޟ~C1:ɋAX7>K5CH8ԯp4zpcO|?ӗcO[2;o['>bgA;49CbzsEy[)&jITO~SiQ=Ao}7L:a>%oŤ!R.oCJΏ)ZJ#.qg3ͺS>n"7Yw{hgt9rqZ"@+3"=aD}^6cʓq_ΐ8>BGG/[_, H hC<կLWZہ% >o~3gza2=vīsyawծk 7Dcgҍh 3SdJ. GˬDh[ɗ"$&0tG&cNt=fc아&Yb⎘8-)p"N(G!?I,|b y+ 9I)f.hMEG^t /եk.{W!9,bUC9Xp1'vտ>jkⅼ36Q}ԧ̀=BFu`-mTn+"ˇ~[\mxG7llQ36HaA=ԭYys(2ЀG~|߷q-$I DAgv|͈=y=F:X&}mtE-d¿kVak%W_0<(Fe0 M4Ձ[w& F' -=)ļ9RDE?pݒ M>"z׵!n@sr|lxt;Mb5pBf? ^9x{rJj?A~O? A٦qi xxvOﳥ+g<'_\n @oz"^صn7.8 ߱[;SwfǗH'{^|oey+Ǚ)Ctg:DQqeس Y}u<!4Fw?z'[a)u8t@ae`fGflcf ӑ(k߳"! S\4 |q!87N@R"њCfؑNl1][7D~ىIM؜OjA#ڧ[r'SDf'|QaԋIGW~ Y+e2MW^ϣ[rJȝm&dX$kt@tY׀N5#aOl6~"<<:4s_x60T7Z/m!7tG!Q,pVN4\. 6x 'mO :פnYLG#T`.? Њ+%QjFh 6G chzxɉʠ?@|K?*νoT2ʝvxH]2>68OFb|*L6fKq~y+.cmVwzXMP##e(pz)9JەZIƥ3N5苻b롹`F'Y8wj 4L'8(J_kz7餭KL1ǷZ/KE'wt*N> [s߷iA4{{׀TR0p q_OV:w Oot(vN U/~a.q0pGDC6-&پljΤ-nkg#%x^#Y?֏>zs\>m-}  YݮgןQ1 mW|1Wq]$W9tr$^S`|{i˝&f}ʖEeYcodzXyoN ۹m8uAxP3Z_ F} 7UM }Yh=;.? Z3ٍGKO|3cYw($v:WbOO%Wf;.?~{E =d[Ge_!O$у ߕn\>O;M77s{1IE} \ g|c5qxPm/9ȚB;l(cjNNOToUDŦX ; Y eVxy9ZhYuX|=ȫSo.ցW <7&4n[[\FAΨfPS`Fp"| V|QwkY jg6{3Ю0<,u \*+ ?btz݆' L d y%E"ݣ=[D]َOn覇&pxTIl\6"1>[ퟞTLT2ȌPF:8g`Xǿ}Jٙ`k{redxN?AƓ0fMC tҏ={9[ hv%˶GN 1,N+5]GJWE˶KGy?vmAi,u@p|ou3e ` 8d:eclzq?@ܭZRpl^_y'Krzry:lJX^"w#kK@RSjci:bdgWDoL _FXZEi |F_>eCt³8_i/*@:A3~De`爏}7ITx>S|CƉI"8o[?ϦE3@^+PWr"fńJ'{yvguރ:5n|cQxlp3Δ]G& rbrpr]ZQhB VK>>yMuɶ&o~l{Ƈ޲Fң+4hѩ_vug>z`Q1җe;mfc"kocـJ=s|oa>j /q[ )Y_}pþ6X![Ɏ͞UvϺ*D MrN޵qףǿpauOwMh; Ƴ{n=THjH;\?mo˯.a  STD[_[/W{!BYߘv+7gdS@H]]"m`#kOm20 l4TK%J*A'm[Uj|٬ 2nvU >%5<'k#)ȠFFFe9:#>Swy0zs ̛=1Sh hoeϊ:MVoAѕGϟc,xzV.[9jÁǷm 霝49G' $ Vw0utma$ G;fh݇M0G ؏LXƓy&e(LPم͚]K^db}tAxӧ3B3~2}Ѝ MeHc'P&R:qcY nqXz tξ8m 2<}̊!lr`p=mW cʘ6a f{:4Q:{{Hz3'MPv`څ!ei3>*>7aSu`ԁҦhb@IDATZ3!<<4e&%fEUft|f'`a?3\%ߖ͓`́UH;&FĊY/9u+Ė5<?g"L{en3Tp=<eeA[@{F<./5+A܀]$|Dd;]\t"d fE*}ϱ?~ FbhǗXApNĆ2fjbώ+L%OFVG`Ty"?|{qo*gG#Y[8r5]UJ'.?zSgd VlϚK@rCn"ܶƧϥX[[]^cqq(?r.K}x=lpD h`O7A"6'B%͙JuJ*c6I+Vi ƭm @JՂ6(O[} TL_hݫ8J#34A(3 yYmۤ{6{y->^FHˣ9dt,=ڍys3ouHdwGE0wkMVna{#o{b1.ďQtb.ogA/p*?Гfftnx0pu"*u:x<&ʱ38,M?_G~A'uY $/*7cL{ A41JjaͮĞ$D8t: o6{ UBnt'8 G&ѓVٚU55WyE3*^If#n&B9|,:mfW> txMbD7?A$u<Ꮭ$9 KRV&4<{ٵf/.9CgAX%l@ňp:6]kl7%O  h 4m Mzh*m]g':'+[pG[2@M`k|u!6rpl/} V\v/-N_a)PN? Dt(Cs><8dVcq B!DrGf:ŏo+- +o"@:ۍ¿spQ+$-rg&~1= |,`mȏ_^]DjF&Mnuoڵ]H~b>}zcn#b Zթz+G*d!  \[~oNt޸\@U7@~pC &~W}-P7TJo}dNjN9_eJ$oR\a%_ѝ~&zc?bz:W: ^ i?m\L3I#0(99CJg4QȢ%EodB +@|*hl+t[A7r&yEE3Sް1FxŜ`e܇Oyf;3ion{ዿjfOtt z%Yi}0-tGaˢ| zeW?OrWB{vz힫5xݞav7=ٜLDE6m%ꀎR\|ĢT/ ğڳMJ#x.z4Jj=hiǞ4x[<-r3 ^_kmE~o{2/ַk1#"~|#;8Sp4c4k ;LW>bx&ϙt~T @,@[_:BrڭdVm˴¦tvaX@(QFN]5W{[ct e[(f:19 "@J(7k»YζFQׯ9o.ŽtJS|@'*?Tnh0v^!u2\J"N#7x'tVu5&l4؅B84t\j2 uj*$K6GDh6N`NBV {ѵIsّ#ktUQrlN|#]{AR.ߊ&e"q*2YYWYϖmgS]D& d0bsfK%d2ye~wk O*8fc:( J VbSb;rsČF~u!ks(^0iCb7ӕz ޳'|,0>5:zme5VY̠g tχd {i%"u*Ϩ81nv.zU2ox*ob#8~;u~O(w0 >IY`_\wZfr)VJ$2ZmGEhB^[pʟMetΖœMno/xxMeDqzZwҗF^mgQo~:qPoiVdKpxe&gP%D+e k(2)~+dlqX6~'tFMgp}I6+ʣIlb5.'yӨ|how1҃$__~O?_En]'WiA 3HY M6ׂ^pƃ21.})Wei0O8'DzJXP̜隓p=Y[L̂&D Pm;w ы39 (xfŏBJi0TgVgk;  ,o;T4Ar{^G#[щ?AϨQ"!Cw$ot]@»+Ѷs+Aŗ3ZlXzlF*Ca{mPiQ ˄F<{6B&h8Qɫr@22gVe}Bi+ҹSf.'tc9D@M[Eyћvm],Z7XX$&; O<|h yz6.[40Nx^O ع_ W`OGBv>OΎ~mV5@[APS`uJjLHf2a W '`L25 0Yg"pM^Ͻ5٢U3K\},5rx4Wx7Cn`)@2쭣 z @U~^ (%iG_ɓE,,Ȧ`O? hgsS@XR@8-`P{k:e/U`#)VNZr7*4$f5#haUQgV=yc%DYYpauqJ@p,y6X!/rhd:G\~6yYm|Nk[΀ЄtʯUYǒ Iv̧+>#x0t-:"&OCOE3؀P;v+9F3~jv/S^ා*TE\JsIt. P$%_R rEk/v ׋7 UV[am)ﵓwڜ2 ?n;p፭?<$6;$WeT\Z&SMFW?3(: J\M ^rM8Jc7L ox]]6RlʠjqMelIX|Aj$,[H}x3IDh#:Op}@#t *UF9 D;v&=禫2hѫLS:_=̙nDx|Nh Ifxg0_E]EcpQ9!dڅAөz.ѹzF>ϊo6<7O:v}bJArAb> [h|, ʎ"TcM F<ݑ,^BD?\Y{vMTm7$q뻋; 0Tzd_XlYwwS@V%".*Cb j*&],^&<4MP3@>x-)=قxMxrw=MϽ21nghjaVj;"e|o^e4tslJ qe⷗g_|m1==vˏ痟w/UɇW]v ha&^&d κ_o2aw}ءf3Nv%u^Ill#77ݚʟJnoIcQRf\ 䁰V}؉ȺS̘a)8o (r3Fn{D9Gh] NoruVZͩ=G 쫻Y 6=nAftvj4̣|'Ų xTu+Mp={`:Ac%'GmB&&%h++l^c“C7Q]ņ~w˥VAa&UL~9]4+S0׆ E _tvUoCI%kI\-#wW0w)f=L{βڌbcp;7Qv| ͥf\~&?62;F*YG,o:GmIpR Cp.V?7/n.\>Vn]qSUm{4mI+bI+~&BX6nu0AnkȨ#)-ЇX.kO_R6%'~~_\s5:Tӟt t/ry {B&,/{A}o4>tˤau '@NfuՎxL3u Y}YU6 jI(;+PR^>7tE]33dN>-d|}o?A//sh K+y>fXev\^zD4HvWga8I^mea '6lA_]V=ƍHE/JҖ8k6H@{Dy|.PZ"u*W a0<˯ao|r(sg__]~zߊ趚>N4ᱪ}[ѷB|1ާ0%3Y๚UŋoS:P; v%%CH}t@:2̤-`U,ac' i3b*QJgȹW]Hиk$P3}8+`яm?-_ .hkl?p1n` !:gZP-hmG'ߠ3V =K:Aj =/O=pJ2Lkn0&q+W;C j}(RkЌUR Zlrdໍ6k)x]g+Y*L ܄Euw^,( dAm/Ѽkfz}ffS: "3l+z J};~;60,ѢFڶ8_¤R*U:;$7+oe; ;pԄ!LgSUP!8QjY vB?wo=IKgB"zo!'C&gk&MԀtJ>{ri)1xaԵī#G#[aD:+f{_A>( İ䍞5:]+ly+mL20`GMѹƠʱN%|pݍ rK@W,o|miBd-3"^d?]!O+<1ʷsg9IW% ^p۫|'h-{?Qvy\, ?|"MGb>W{6]_ ˡIbFA39DJee[*n2r60EF%]i+7w+7DZPMWlsZpU6!Vukfh ]0mVhD OYJYOWYfbqءxhR-g~lAꔅSt*%&ش(&U2Ǡ-b٭  6βć#kNdMx6T@ڡS^oiğ6ɃO mGt70yGiHNUIO eZ2t>ż| ky--"C-"-Jеw=v_h7@ΐM&Gb l)O;]=Ry(cnbyVS \7?ECHg?m).' a:Ɏ),${It։ʿu2>&yb2:C&p[,|ڂ_ ~7arBRm[dF,ݿ/,~\5zѤ}~^_9d) dg=HZ'U[,@͏fN JrLUb8Iy[< h3dDo.V gu'CWyy& awe՛?% H(8Ff&6o>'`ѶvO{Mrxt~?]]<:v>[+bBFw\W kk2>X~?{=T= i 2-9',m[#~-Cռ8udxoID,F{>$l瘟$h ]>!f!(ОNq9Z_bQza_f'AO 5>9ɉ05h5uc謭<ŶgXث382Q3Bs 09p YYI9!~jƈ' @bp 'J 6ac ,cfP:>7XxfvQ=}=̂‹{NQ:e&0U[/->'ƑO`#g!zX)j+MU{DTdtDG׳pЯyng`~&^נPh"e%5,xJR̕R}]V9t n#ِ{7(P<4U>,L^%M`KN/ W46R9mP11Qt4;vEҕq,1:HUZ.PupĆi@KF$lt>Ǧr's;(.qeCbIlpOX"J vvKGKmYñ\7bP<; @tmv+ptIq.9=)oŐp1ɉk5YVB8dt&BvvF-3z0E:e!&Yl0$G/N!otuMNVEKfn밖s-qP{de}釔-}y/kCց\tB&+MNɾ}鶡s6Rb(F+RjZ+mgVtXdM+3&.0ä?YEiWo|ћ^(=p:Ldu쓿9SM-"Lz>`q\}NkL i|WZRvRxtV @M;;Iq;\lJ Y8@*ů+mZdx>6x1Չn""} tTڑi F|7&?xWGG}Ы;>pi,p#}AOoГ_e^3:=)Ydt#݀}gH7,s`qq^;>ܞdd-e[A_>|sf~fGdç#e T ox[],3-Svh446Q ܥy Ehtd gq ʼnVr};p^,=-\ڕ-\⧃'#eB=vxNܹ"Qԟ?pdn6dwqCAէ_]~_?^/.w|| =9 Ѷhޭx< O|?1|1z\T &=#G`8=1ʫ 097i`~'ܥ^yuF535̺c~ hDJ0>D[/P%>o::.ã]<aD (9@~[ Ѝpe#R™>V O)=8Lj1b?SҴd->'O"Ѿ 4>4maƪWf1~86 Qp}񔬢y|%j3[yěXȎpMSƱAn\%ܑai^'̮g3b&͞Y'7QdC |lWrwṉI!Eg~~"g?vʫ<4tҴtNA%ҙrDJbxe*Or.)lmI MX$GlW']>,&M-]lgR'4+S*;IGFIM>HN T1z/ YW^m!+ӹxe~X~T_[O#m27a+` -"&xdm2M"nirXF\EdžN,L~Q#DYV}[ طE8}#}e 5/#}ont]dIsKf褱#JyAMoIT5n.$UE1N>tMkQpFIH VF Jh_gUyv_*{m[7\<{:M7b>?/^l6ޔ9# \vZ=q*^W>_T(wsϾ(~zeñH64r":fm2#آ^9/MVn ]=U}E.=m#x6QWsnU i3/~!ٹ vLl⌑LЅ&9H7dfMNsM}mol]/\g_$ڽG*~6k11:_~q??~CG=&E8!=e$T$ &KL6) d[>c: ºvk˶:o"t X i О`jo\ tt~вQ7:ćѯ<>!M^s6=Y`Ty6k ^YtE wevQ͂VmVn*Lh)MRѼ*WY#]|X$zG|ߟmuke%$eYڱ֯c(vO.pL. ]<*^)7(ҮJ,F/?AZ᰺ȺgRU&B =>dqgrX-k,9^鮀ytrx$B5ݏ1kiu0;m9B!4DJη:W7V71|:eC62* ]%6wYOk1z^RutocP޶%=G&i+c|DxǨIz2M 'o*!ihheHG|8釮g$UaMW_YM[]uܓz`h*̖k *>._k"d,@Mp|X`\ajWÞOV&m=rwJ'd-^$:[=Ï"joyڻJec+( 6ڄrqbŻ˷ziu4ocpր"=Ebbf&?=囜_RX69aNܼ-G2:qϘжikdzɻlX?># 9;|O37p=7ت=YE_mJCHv_}ի?Ȣ| jV<6@׿˿@A?5Wj:tG5у/fbܴd`[8)mkhTzd-nd_+/_/F^CI0H8 mDPif AnJH(^&o*Π4c1[u54Q5@1֑۠LNa1HrpR, іթyGodO/e- !T Is22FvpOt$x"k}v8eC EщV_ӱ KA!yn\Eon{zÇuLPQ!k%Ο?-C`npn IwZ]L ghnˌ&sL3= [Jsf' $[&*lqIr`Y587NlX_PxA"G1h)׭n aF$r*Oꅝs| Kh`O/Fx>hvX-^LC708ߍv9D?Y]CF;L'k364_~Wmy q$AʓWGpT?㕄P"'82udոWml:vNzЦsW/VrTv%Nl =L#% R)B ױD:Ѐ/噱%OdBto ,qXCa߶*[Ya9|8Vozr4"h0+uvSNVfk١Dn@^jV(XbEs""fWe9_2e'u:Z^/v~%=hUN'$ph뭌1^#RLqc]]Govq#s: Iy:7jᇟ쏍5`c_Rs˗E`{ ENشb/y-ơH@E[w tAg>6ʇ &Vţ,F/F*38Pdv3h_I(~uR+9֯"D(N=sd SF]n|A{NQI.^uũQ[]nvş`Ym|EV*;u ٽI2>[ǎʖc0Ρʦ/Yl%Pwשes/B&YW=W)Z,/e_^)Vw=G1Q$o:XaG#C0 exоlg"hWVڤugi@)0щG{3F@IDATix4;S~2;G0=K*ZY`Xv8<-̷x'_CvMJǞ7&YTRy`JG4`Ao<|m^z^УVtg5=[_֮Ͽr2{ԃɎ,8&=G5ٵx?8Ӊ 3D'[J~݌i>G=usO/ps܎?Wh`qw;.ӎ(Nֵ?/ )aFAڻts:VC3Hi`}<δ`8;1'Z쾞׽&g~bGۘfmLP߸%M 7<˯~k??}Vx} cIGVь^_M$$zTZS+6CɄq7`ZFp5$byGAIq_j|M8DBYl)Y1u%]$G>tOao>(hW)t6` CNit0hA:@G{n Ss#ӿYpП~fonѹ*h/b+Sg1:rRxk7IIK5Ulp0j&PX;M%]ʷmWDZzմ= HaAmU m2[fuI\H=mr?2s*2_S(6A[.>d[\g gkdናW=b p\IŒĝ]d5:JϹ6&8,-{ 7\((6WS7[$VVifP"NST A Mh~=8]k>L+ BuO3V3_M#C'/|}2a@]M 8U~ =_JCDl\T~+`Ǡ[*N3n`lv oKjE9xe {exN=Ӯ_=,sLLHe|[;\vVy dO|m *ԇ]kP9,Y]\<6@~T|VR=9~Cnqmd'>v-Г*[b.ɢ6oI~g ;klC9mP YO#w_$qn 0&wZJveɟ]6O.Naxxmm8 ZysF6=aA6C((ɂOpKJX}Ŷ<;Uq{`Up(@ x6.^#k{Kva'>v rtͽW]7$Kj,dՄ!q^?6h鳶 t~/*SnAoXy>a te\3& J`$9.-TR :YcD#`~u)΁9F0j\Qv]^X(!̃UxfԫN|Ns4Y㠔OPm1XY'1:;*q;m&UMx5ێֵA+OQauF*B@fgԯRNл-W4fAztc=l牞Ul\v6k$ T0wR(4ho|M-5d읇AT?Oa[sdϛQ~(!ڬfIJ(gʹ%L]7i'G|]k?)2S6o oԭ#UYcו'2`J)]D8oz$XR}_G>E7Zp9 x߹Bg_fҏ?b?hd+`4%-wwdML=h3b;RN1@PV|(H=%Nm#"Iʮm< + UO̜kv$ZUٙ5&Nn}KQl#1mNUn#Ph*/T`hёCe` anU|z*vBOR>g;)L104 :q5o,R&{Ķ`V{׃I_M(䆼{yꕻR@GIg=ū:y>/O) $_"쪒v4aSUnr<̄eQz~GߘLMh#7,`h }WGEӅ6s]xϚvx觗|uϜmx~ܰ]|KsWBlGCR16*W!I{iT_nEl}xUc! &emI@c a[I)I>A;~:5Q[ >[" 1ܥaB@qh̨Rzufl&ǛBpm!XV'Kppm3f0 a n3.RgYfFxX54zhxQ߀b]~ inI$3`z C ީRv{n+Pa3vh.Ӥ֦f #ݶ &U~308tn6a[ CQ^'/uMX{I|JM^oD`2t<{*Ve_+=t9V2gu:º'U,h8hm'JijRf(DiOPZGm۔ ;G|k\w7G"Vut^ɒfU߄ Gh1b̳fr`WWwO\6*kazTKjg&N;BTR{}頕4dbLWtxH?+oҩx+LG ł#boGz0&LFZD;B9FËl^&tmu'wtL:7qV{s/7͎;^@XxǻV9jCcBj)cbU<C~ {[AVL؝d`VF;:$T)։kK%zՅ92 = **=o2EAgiFZH]85 G:hOY>^R3el“O7cb)M_[Lo B?[]0]#oJ[@2oIpF2Gv$rܦT9F⁥A}|#q#>1#iWMpUhp&j+,1*^XtyXmGߙHgkq,+.utGU~O'V7-`AM_XK☍іPJct'٧Ltr)La#ed2+ܲ⢸W Ɏ/(b:ѿ~C?~x `@_ovR^6ߩbeN6՛zJq5^ $Mi:68%VZ5n GbhyI^ 6 D-DTX>@;r-p@|+W)_ɀRUqMjvB}YH_vkLH%3R<3e\u61N,>푓Ñlm j(H2d&$Z[[h Z*4ol>ͤ}-*Lu p YC>fOI|Ki? &?j#d[-`)1ٶ7,|€L~Vـ_| X?p}C48(<9kӏvNvn)n#jI?p?rWeCV؃H'$gMZ: z%l@42yWD(̗o[]^4K[[~7&-;RBw3Do, E_[1c?̣d}oύC^}:(_y_}y[<÷Y=~qo?.u//?.UN c(c>9u_sc-|u,n$W_=vgɠ>'C n✞;`Y$q@#@LoKuWiAOeGeL'$m4qc&)ۂ5 nFtF*xZ96XqRV^edv@ج,WU+k)e[|n0?m/Ng08F[l? ,B|,{:%P6%Vvzt9dW=CǪk?C!_F&;ȕRtCjĊםUsl]6ugd]ǟ~v ĉ͔ \GHp pq Lp NwwCU{kw"/^9%Mgq ' =\8 fyCS{];Gg/?̈ն78S~t&ulh8egû7Xxl|ݱ% )G,'[y29UNɂnf;g/7b*Tu|SY'HUa@M7eS-zInx^جm.(Ͼ3):++s%>spP@3pV%Վ| Vy t|ޕ1էsA+'MF} $_Mf ov[u lp |>6(I?dYe"^Pś5iA̓3 .u6ȗ9aBa8&2FYl ^|V:Ͼ@άAw AttFtw7<ҥڋ].oR]_Re;_:#Æh/Ņ$kW O^wJ\w6p:I'#j`h[F[:aI;~׏مG:wWƆFL y' L;Hkm|JA3y |frpo)-Q8$O6Bc;;]4I>9a,r$ POCĠ׽AGUY9U`ɒ73g,WNT l1!U_"JF(ktm`UUnV~pJudJ績-LO0g/7pNٞ.OVFjlPת:Nn `r=z`=?fF2߀̧>?y2 z֍7tfK={V5B+KV[޾q{{OήMؿh2<1k f[M Ѩ-B`#U+#Mߺ˟Dbo>=h|6l@ DSBU>"ώjyp^.ϴ <9dLvs%:п$bGW*w=M]k^lygM }ފlk4ShDr`еM ٝd ug.ϗ^=~Ͼ?'<ElʊwX /ӏZSD,FGͱ8;u9OVI+ݍ@6cu_xdħ?bB׋M? )Qap@G7ҋ% eTFy^s}n31Wv:DvL6Trm$ߔHvݠ@\BV#pTg"޻BpT| L10՗pG XRd!^\ V: Ja Ve ыsw#:yX܍Xbe*s>JK,y i{?lar,53sr7 N/$ l:ږ(G+}Kl8 _3tcV8ނ ek-p("?C/t4]GLWc7v>^F"@7T-$:r{}2'cmgNY` $|b0lV;=U`62a~laG~ں<ٟ}%zN6GG\s|Fg't|õG| Đtˑ[_TjlqG-To|~}Iu9`Ar .OΧ(Ttu7R[lf|lb\# g4-݃#+X։ba.n~1Z:]߹GMv l)t=1^Ө>/x.r^w b^*yrLW?QO%9;ծ2_ߺoz2Y4f_-LfIHѣ(ϷsV:Nw wwC zwmݴٝh+/@/c54on}a7W}n x&K.i uϯe`jYGe7/?}qGW^w]]~?׸ɵsc 54!3ɇ֮6|>Xm=cя2Y- >t ~+6R7ګ:[aYg(/2}.4H Ksfq~KB( E0o#b;1,oC˨C6k#Dd] *Za!Űt5as+j~~l_K@v.]JsaѼ;)2]d{UvsGi^34qxU8$q|ņ/[60)1(=:(:R&,z.,_DDfk@lW*FޛMނIfepAT ;n7 =(雝E`g&اd~Wj?uJ?O.^g?'{mw&GE>(=+gC#8yu\x \g_lUt>ә).bfs%|DD}LzVuϨrtFtOwRe0*?;*j $A ;f-z |I5iEw^/ nKf76 86uLJJmqx3)Mr4jb E/M3֩T;%9v, 0 ~/]0'hzk@: 9aB 8/#XS\Qf]tV:%  - z_^w$3:ypxo TU^9+ͤz hK^s.{љ$8a`uXAqV8fs98~,dT@|('vD$I*U8#&|z=Y s][7-gk>7` lB[µx5f?hc>NS3AF$xU@m97&\nW41;-ɰg7[&\LsS'O\~GGSfIexn8{EK}XL҅d2 8ݑy:?>蹗P_uw VF5^vfwK:Ʒ:!,?D/.;6-?ƿ 8T"M': 0I$9&xc]`3ŵR2 ë.aiGO O}3Li&2٘'xё{BݣS/=#{+9W .&i#4y&ф(>1Ms:='7Ȥpn1du&/u|;l| ^X'אO 1;ƧR֎o9XٵQXu&G:SF$JMlmϖ&ѯ8ETw_&cHJ Vt1 g$Mk^WpŤem!Qw꬟ͱ}HB[Wc1=dP0t><_,T>ړ{/㕸ᒿL՟oT}Ģc6 90}U;ӥrAZU^Iw &,1 :#nbNtc]9["X]V9;!VFZ^$/_8|&m~L?UůڋpΧ*V[LuMllcPAvl>]صdx:^}-+]0=;!W *^8)M룝\>vIuJ_JZ'ٳw7;A|c3{m@xTĢ[rs9J5ge le9_={?Ȃpœl>e:g7ȽH!S0&E?:xm}Yr ?G=<}Hp8HU/Ns A᱋M-zޥ$an{N KP&g"/tft*oYlxx>叿g'͗/zg+6-h :I?~w@}\umuha2<O{lG?~{g{|wFBg%#-0@UaYxٟ38t:ƪhG Xj) L.F=Fƒ'^³Nh$ĔTWb|+Ax7 {m*:H[=H%5X,疠4c}:i3'>|fBrL-jnr'`sƆX NrwhE^r^*~}9OfkE}jHLx^򈀫8V oSE-d&Zl;c@]5%&r kVEx‡XB[Zβ2{ٶzst-dvdBKpS,xu{^7ե,#qر"Qm L(`7y"#{C}@a@񛋭l4-X| Hc5ԫk;sbFN݄Cٚkc~ؑ XC! KS0~a]-U/It]'ݰ9}ue 'd9v *Z[QѨJ'ڂ5_2q4cteI6QṈ 7oUi7L|F77^/ CBR@Xj}xr.m2%*[gQͭM5o\ß<?-/nVzHPӁńb6%>*=q?ڳ=%Fzû^+ת,7yV~ȗzk٦_N|d άy$Y:h>`2ʓP$X]vJXE7bȏ?VT?|yr^qD˞}ЎRjsv[ahWo,%A7rg/?w/._hq <7JN2$S D sz'j3󬝁O oq`vp3/NGFlFk3vR_0e aP UY D¤>\jKXJ=0NI :\oЀfg^t_hv6eeOzs;<&F;(tif`cokRjjO X&Σ٦cc0uxE pow3 L6aVNCeMGϾtEt h63&w9|u~'>:|Jo.^J７m5@4OГ+ɋ4|xn?]O1:=[eݦ=ΒĤ&[egb_ۭ\yq?NVo@I٫ ~O1ōkVt` epJ q|B $5H%Dѿu!=ZT3.b0}dˁAQ%Z;v; )cgN8YnkbxFbul&Г4-a F!b}Y/:*A5P1nQ`V%*sll#P-9!a^uΆL D'xJv[]E:1,!S[wW>Yw8Fp2D/%~\?|VGo+dCth64!L1ҟU8l A] ]мM[}2ݬU<jID6[:k{ƃtswGAs^'Ifm& tPT;}V[eD-h`$뺮C#{+`,6 ezA/{Ñ.Nƛg#͖eděgUȅ/'AďAD,g_c cpLp1v H#0'{ gneg B|!,MW'F׆04L1L,# 2 Ð Vd$?{5$<U'Tŕ8 (\/:]^q>ۤ[ߑbac'Wzp2d;1X6"R>׬tg˓őrɟI62SOxE>Tg3%rËW6pFeċe B|w"hwIp67$(A!+B3OrlBv>A)a9Cw5*ؽA>Iܟ8 &Ҽ}:`9Ø0Oo'>>NKFy&nvq㵭iq/aE_[So=eWM&-?]>'gH1ĆãJep!TpZtS뮮}T,.S4;N]eayx"re]c6"q9Fm@E7HNrޯ̩Fgr(kW}n"m mC7/>?[`#M(Y\u]-v1# ǀrtN@UV(*R~*>;XɑT jKU?Llv0#!=bŤ:9WޅO7HwI 4)ɓVvP={H+2xIq&Ql ]eWVi(nx5@~Xڴ@JX{bۡ5";1.y}o_~?;w'76}b;JWڊG;DCt&ч1ىΎ.ʹ߫nSt9G߯^sݱZ~LUg.k1M Vrv8Qr$1 "wEًH9f3&lybm0AϺO?@_^H)xm)M.m# ,h${)lbdtD{dhyde׾׾o/_EfZ'<՟u B17Kqߝ: a" %sK&_j":oQ;.AW0)RAwp8V#raٌPuU_`mr1+ L9AI ' Ygo: -e5B `~9]j%g]3S: mzuJKRHj74Æ4Uir(j7l7ݙP(;7՞=^ɉ\=~3фy[1ם +}6@^3Y5~O$SNy i2D#sXD1 ̾3ÒMoe׶% +`?tB~*UЖOٍU Z86NN]x%7XJ: >_:[g/6 sWYH=w.|\+;a Z#C9L,£.rWOP +͎wm'hO1)Fr$V?},g||d34)q3+&Uiy6S8b=+5=68۔IQ9HWHiz`͝XS}. FbjW*B@wZ73j{˹zH -Hu×C]5\ pg?F5#jE/py_zT:~G{|/7[l9:f9Z AFk9d"5y ˫=:q}4.;zQ (ѷ#<:;N]0:K2il*k) dmy;Sd+Fmvje履3 q!7̂;Q\YAP:_-5lsf+3^LNp/"uGxl]g6e$5bŇ}wk-X>Ayt_jUew}xrq̂#O/`Dȍi\$.C&Xء:>^>=nbwZN㻛f-ЂJ)SEFBe:P^Fo28`^&#߿|+_]yO,g9 To4bBq#裦re7^˚ x[QZEWt<b},?/nB&e]B_f^xfGd'tө4`x˻^ I93cYTn,&߻/?gGwQ}j/>۱ec!9'AwƻWLy:*{m3{T˯R+޾|7~˗VW/Jb!#M$ɭx0$,:H)ll .@VQR3p.:ߓD&@QgOU9X-E* uw`S;]@PZ X*7"% ԫds|$y0fs ܼy}/Nj(Sv9{|G ӯCGIm:}S{KtUh`$Dr7$هrgt.XAaP:ɥiI`ZO:i}6|rұغ;WZn˹#A5;?U]'@H5CX.pMRɉ`B/y0_rcO(8Aх{ww=yAem&43LY;%zO4wtK2/﬚*)nUS6/eKW}& &<ٖi(3x^է-k&x3Y\ &+i69v~^{o9{Uݩ~4)Z<{޵9݄RYă‹WpZܣKx<[~7y\l[7FAp\K'Jby;/>}sYOp=m +<6/ŅdXV'ume,hMѷ}Є^z<f˯}/_._zzܥd\|q܅۬2jX#fm9\l4 , V nHw4Ox0>6<9,R jUsZS#D:nř#>ɡI d#U2} qKy)@ p%|3p󇽡q^6J w@EtBݕ."Ix =c^tR$]{8J\yl}FkNuptqtWI:rY:yk~P;2y[M{+79:_ܬ{ /w׸$kPZT0M'#2tS;+-'[pkJu5P?YؔIv-7VN_i-F6 ުF4 cW: nۄVؚ_&''_Þ V6K{5 V}t5a]%*[*,& 뷞|?$?{.y;~..Yۖ{l$1͆v$GqvCϞ=<!pEM|ǿD-=>?aߵ"ݧY7ھ`&=/hW-xm7r7AN^l2x^>V;=g!翁$ctPDqǗ/O~w/nT}/wbվy?X7^nܶV,mp3T.b7 nNCvWLc;ANMx!e-2Ũpaq;[n9W~'p$>5^boke1^gzd/rd/?LuKPOz[jAw$3=6s1l6+h^]zTqymVXߧ2cE[vZ^ }Lw y %;"3Z9ya#I/o\+_}?}r7u?g'h3r$ HIENDB`ic13l6PNG  IHDR\rf$iCCPICC Profile8UoT>oR? XGůUS[IJ*$:7鶪O{7@Hkk?<kktq݋m6nƶد-mR;`zv x#=\% oYRڱ#&?>ҹЪn_;j;$}*}+(}'}/LtY"$].9｟%{_a݊]hk5'SN{<_ t jM{-4%TńtY۟R6#v\喊x:'HO3^&0::m,L%3:qVE t]~Iv6Wٯ) |ʸ2]G4(6w‹$"AEv m[D;Vh[}چN|3HS:KtxU'D;77;_"e?Yqxl+ pHYs%%IR$@IDATx> jA PEL2=i/cq{y۵?aZNɴ|XO|i6_Linًiyt4mwMgGaf6Oaftlt<-NfǮ{rt2Ml-~?M\gttz4~Za晇q}Gbt89tX{4=~t|v5m>\fi,ic GGn:xQsn}ylo56q؛4ϟa:ZM~qq4lޤ^Z[W/Ջxtf>],hYa|4=hO '3_fa8hVkZ|>u;TiZ(uzoNc5N/~:y5-ONώKL1R2ٸlhsڞ嚜gzGnfiEG=O䑼ێߑɇG4!󛱆ô/qp^ezAֈyr:?O?tOv76w'4dqtOa4_N-sK)t{4EtOidV"~Iy`@(<ʗϗ fFw;?b9߮|+1V|?Äqzbʙ'E|v\ݷZfZv5[ #% 14Ng烨i{sc8$ݴ{cyaZ"vZS)4)Cl{azj_樂׮ \CSv#Ȇ34m%7Gρ!|A90`,&D7 aaM#n-vOPX" %?v`SޅiEIbFS)Diگ<%._g ) i:+ 9Z[@ A=!)Atwi@`g:L҂@gӂaL>B`s}Ҵ%l8<'9E__8}?_Oo7_N0/.Gt8yzV3 -^! rzc8?nn>O7X?xzGGָWW鈰xh`19?ޞ# AXC ƺ^#?YȲg?jO|DBn3 XZ׹~뾀}L =C{7f?e><+<9:쌱NG3cu|ra\Φ)8C|~zk{wSrk94f>I*e6=\[W@Ҁ'QWËZ9zF:Ew5]Ϧ~|57C˛,FS\XnYc7Ǎ[Xa@9ac,Ą; AٝEN|1 A(ԜKI2OY)OʵG5̵ dLpR:,-H˓Nө_{Hk8^}vZx bV8~x7 ׬ᘇrȢ#qJHF/aR3izyuBi?d~/9>;Dy\闞0/Q7((Khzz="+* 8,(+xuq1]Q^זh1g/N('hyF3!G!ԑeRq P ay+] ܓ "wyf [~O ^,7ufx0P`( 1ˀlM p:<5zm%e8-X߸V,9CJ$Sj+ S:Q;b.G\]5⯃&gC0 30}= ~Hƙ禵hmнq#>>Vo=ۚ(`+t/nqm0,gW0w{`Nl 2c0OQOX@θ{t٢ǃr~b~ӗ_ ?Kbu_੬bqg/ 0wRK;k~u[ !Y *ͺ]M?0|k2-/,(Ŝ^,]y1_F@Нu8pEьLQާ,d2H8 JLJ߾zF2'<3缃~qsO}X#X WYhx,ǒ7qG֜< Ŗܣ〡1O✧ ]=8`ϼ`ƣj9L c|/CRNrl;r5[C߀?Wӗg?ǟAzs+He<< ޅEY3V,(d¸Ijȭ39E |i,k`<(Ql_0LnL[J&? ABBm/=b:p"y+k΄/A{Dԏ7mp1nytE k5˘e UHrvyDH#XM8-zB?F<a$Rs|=kkM8@g;XPx ~2xpO`8y}G(%KJl&[sӳY4N3Zx/}Ě,[.hus2c($<oy!B [Lt&O֌,4rib$ ݛ40ywr eљs{GhxtYTyGCq9+[BŲk_\("@") 2,Wl "+(|Z- >7\ !rW}aPDbqtɹ JHO`Ybgm̈́:w Bkqͽ`)K2 r%5*M_/z%Dt-<?~BۋkYV>?\wg)ЈG`|+O%`Yp?} h%3nn9%(;XH2ƒ( rqe*>?mpOce~+CpbeSPa5}AsGc^ŧs+TaiYR$鶖Q=.yr,VnυV}}ffraD"G=綒C[KKkMz)?J.Fcc /^^o1}9C{bywgwL_ㅤd' bEć&1=($T RM$&G ,=J n-+Xx`MsI<1I%,2#dۓe㚯K`r^C!HaO|*+>̋_s+)r6@=|)zl)(/XԴ1@!@oݵAN$!H)G پg+weW')~ :$Cepiߐ9U?+# yVųr)v̳(XQ2|=?(l=y=CYµ۠y +_^>>Kom_?O^|S aX^0nqIO5p~,y *269YxJjˢڒ\D(藔Xgt7+U(XǼGD헧p |'pk h2%/T~6BK>W/„*K"Ⱥ ; MY~Ja6d=P ;^S$2d@==FS<[YfΠgVtjesߣIs*ˁ|$|;.ZoW\)^<)NvJt8/YO'bkfJ\.!ghms2X /0QFߘˉ^xCI3n&cF/^ՆEa*Omv+^ib Dj!lâW,/CAbV_`:4&>3b@c,X&:2s HȇyD[2DVk lt)g4 Tx"[u7D)c]?GbK)oK:{5[UI^ 3;4;м$ZOpZ{N9]s۰dk@˫K`(sjD߽nTV+s8ZIa@r ^Zs 92g>z4X$X!x^2_RuVmA.,#JO>G攒)Q2  (t|D؋F /Cc{ m%wV.ÌYo@akqhg(Ok-b N0<OM?~~Gӛ+/t##p݇Oٴ>[/y{|74i9,Q.6V)dW ;/e}oRY nx`&&r$dC*‘p!d%mu%M~#/t`J4B|a?EÕ!g\|ApIj ݆)^YeUw͕Ojȅ~KT#X4Y?F=S{sdw$'N}!V|&^f֕o$?KɽƸpPI-m{ = Ck1!rF2v=~ˈ6q]rTX09tDWHE?~oo毦M_oV@[WlnuMGt, [EiVV^cAOato9մq3'cx;G,Œ?3TbBDM%Ã.,фPB{6iez2 m,P}t|~IfzY+\M{n~>=tky_|4#rz?N~]vB V %wJVTYyL#K_6J2ҧD;*׌Rr讄4D5,$ utJĞbxB*\n%}.P\€m`{zâ ?}kO0$!<Dy As!'@Q`eYǐ<&KGl< %kc =TN[T<'-*Vn)3*A ޯ:ORG45˹>)E+~^l H\Pe$Tx-~Uw FJ%#w5ϜVS,=J/Ѽ6&ru汮TC&c$ͣk'0Q¼,wo<{xamu }df"ɖnl<#*)45ĵn9-%c[GU(o;ת=k@dy>ݴzO_"7/Ӳ' oƞ>+Xr5왽\*!@egຣjYs {Z a>fJXxLjR',PvQzQn;X @(bq Ӯ~k#an^.pVԵ;xbxc PKe ;ʿ*kwIl-$z0$ǕAyGG΄; =&f} t R[%!p\i3xPr,ÆrR0"|%wYS̳k׏sI2~Bf] ẏIdlJDd~ CbU* Sdx KxBJRzB>s]^o^P@d% <[k4B p˸?w R^0%lv\'>U17/*Zܑnj}mn|~O<@h9EowZ]qINОo~9C [H+s'GetǛYWpɣW߿ܶZYWGnH |Rc(^Rax_~|}"|в9|^_^TN~wnG0dNirk";%^זkʔ>[o—⍪JoY~ @YN@ p Vj$>S`[ pʖysg~К06SF|l4jxԸToѷ"ݢaiƯ=c` G|h~+#U twǟ֑k}K-y64]5ڔ2h'ƬRNIХݶxb43nl\3re)C&;^b=f%nVN{#{b(5cÇ;/@,AZ憒>_soX`pC3cf)gu-*g I ]UYl)qW*]s׷c3ӽ[q>ܣQ*8=/{% N$BD嵟Kϑ]ry)q%JlԞ+qb|Y UldU/.\W(N b$ ;+nL5f3Wg29"B@};c?x31$vL KE8jIhWf2TnX#r1#K*->=!HP,-boI_+;0GQuo$Vo>)(]WѹR(,E”{|xcLoތJ#<(r!xkѩB0+U63ǏGOO2ʋuFΠ 漧O 0 ͳ(xwqh[(vOu$+ (PW{jS8gW \݅h\u6?\=s^uevN2\{<ouˊ݆]ܜžfN׍qn}1}7w][ßQƿ٬=5w 2÷r#YoxMBy^_8 Ծ gl ,9ンϦSyy%L䮌lNxS6YajaDSԧƓ:1yؕ#O+eDG>3VDQ:5gRmL 𹤋BW" :ߎfKHQ/_2 "yQ|} ' *8 AHa c,Xku?NuB ^UX>]C#vʺ0aOY¸ G=].d Mks=̿y4Ϟ(EJ] q}MmeD ]~VeNΪ EZBdJ+vm4Ya\mXz歰f\{͇CU 7е_N/syg4o<*5hSD-cqY/5CNE3 {|K-f,LZE߿V.> W:*)Yl6(Q s-kPJYJO3U终ުYW\MLE%!4O]edz& Beb۬_i}-S*nYLUpb.XNOXj?bW=yGF9&Jh=)f-xm>zawbwo~~qyB`k/NeZH ޱx_Ju- ,q LR;"Y?}FmV KKp,rGO+0=,TIQ/"ߔҏZ@:,{_`|rgx4'^W1xo$dIg`!p?QL=SKsf\AN9.Od)gw m >_<7MJvMahz"'{}>1g:a垲/PwaN Å+ qQfX,L[wk5^1 v|Xyky9u-vOqM2ֱ6ɁmѨQE PxK$DL9}Z^0dk$:{JS[?C+~euT]mkc~C>B,!N@[L7N>:ƵB.լ׹.xЏUM9*, %Ԅ)Km9, IMo=>]u%d ET{.ШKd_4,gV`aNm"{Gzޒ'ǟwr&TrDaBaLFp?d4ž÷o=HX  Gc-׌| ~v:yʚ<!Dq1j{FMHjcrg§'_Wt #Dc1ScҲ{RrאPm+⨃ZP9zGV L(pVDݘ xKhZEEce0hgJy9, ٶZO? p b@☐5fJy䈫Wxg_Nz Sߎ""U2Џe)m{Yg.@Pw9Xt/1 #R ROw|&X脎sڑB^ey~9/!dvrS{^ WH%{%v">Z$ iOGK͓{?WH|q(8)0t}{jAaHQk( /FAEk&B6oS(gC&2+gdvi=KKBRyE-<]BYXyHy!Ë3+ߒuG4fݕvbF#\5tx*C/;4_Dqoldh1tCO|٦יd'.e?d{(.-$KQ`!gAێ976`Qy(ɘKE/'fUŗԒJX@ #@ZkFeQ;pvQ7zF3j[ۙld;'#&aT2Z:{7`Id?b#c>Ԏ(5/=ՁgEJV% as#}P6w;$8KW۳_?>߿~ w8$bEwHbs{;T!eΟXG2yYj78_Ιu Av&jjCI]C3 ?7a2P|"7 sg2eCqm <i.ϓJty#%FvNҠTκ]>2z$@֝YڌV>Sx\k,!1dnA#^BȪy~PRW +JDxXWݚw<XǂTE \;.9Ap;lrny6Vр!A<\.g9ꃯ+˥:\`xWt3|~ū֚*k?  ՜v >\cp@cJ.Y:TXK7QF>3Fs'ʓ+gظjϛML!->8&2z#4$X5mEٽ)[U\]):wy42b\=jּ& [IN ڻ$3<ZOv@yJҌe=cn>ʲ<U?/,v5YܘC6^f|ƹmU]uXvy۟$[QtV"_^W jd{IՑJ}_^O y(Gܝ ˣc@NdXCFF=iMC@*-4Y4il1DQ ! wXC⸋0BU(TeE5AMNf?S%4^l[wkmmnX0Dnhq lfFpI4sڎzl3Tga&~1UxBOσ6qn2o7јdfsy/0/>}*sO\A׿ fGb<%I$q7qܼM@0`#n2y7'mrb=)x$ShM,W`#@ې)-A"Ëyu>b^CjY9{Ux5Ьr(2`(DThQ*D+/=YTP6kW[u蒇’/_#@RXY}4v`yl8ÓDO䦍g+tXUk`f1q۰TI\Y?tDѳfnMfS\ͫhs]ymם?AsFm( Ovub~i]Bv=X@:9Wp=C5iƠs4_(vVj&Տś'Q{ptf`0W Ǥ+ Uݕ$CCm4ntӋ7#T)B2hKRtĂ֠Q,`8I d 븤yΣ{ŏ2ֹmiV%S5 9ks18Pb+K` _62za۝{/帷 }v QOA6NwV?W>N;hu /s ?_L_˽Nf}>;p$TTjq . Fx;$UI::{VyyxR!g%ݟK cl]x!W{36;*HK.TrR(ZnZm[F9Y8>2 a3e4ʹ$OTg`$d#+x|VUC R٨YO)@0^P#:;#k=nj5S!ϯЕR(ӇuܹwE!<: TfP]&}z(A)^eȎS, W)ze ? %Df4P{`S`^AaYjF_{,v*>G@{b܆N5]:ֻ푄ts̕tOVm3%FՁ 7bZi<_vN G $6(^=7}/ 5* s˼C37x|GGM!l)eavs=뼤'VWNBa@)Ӽ^t{wF\?~0?3kk1> Zd'90B 5꥗}'D!!ktk 6N4cϿYߝTBT}T`]J gvZYa/>(5P >؍4~-ygz"ʝ<GdọZSf*OgZW{wpp*-8;e8OΔ%(cy#WRkcJjJ eMx8^c=[y=O(^tv% eSbag~R2~άg QF2%QݚLkVI7m"΂0Φ5gF^Qf|?όIC.݌bJ#37.fS\׋T ũ eҩ~Ujڗ;'ȶ5eOcګpXc+&p)k9/qQs1Iݶ_cl3NY 1ux; ܃T2+i^DF{+:XSM įՠ;i.PpEXÕ7^U%VN2P}rhue64uS9.gQX,J>ѾrKLjZXaG[ovVKx@k |t\g,T@fą@I6-HhS.3,7׸l4.?o2P) ez`2mmB>]zUIr(sy/mmܛa}ԡŁ}?ťGakcoxK< 􍝀R-Ř~+ʳHWUe阵SD>qٝ7ZïZk]vUބ ,0AҎ&U:xWy&SV+n۝I$Vpf"ҲUάs?LcW"'?JX{mL,tBNԇϿI}GuJ% y?#1뼃[`q ƶtWU$ֶ՛;,BFڪPނut7_ZwPJ= S%*:!eJg"%^ 5 ?p0T%\%yG:`xu6x Q XDOB|\uzno x<'p +_Hг\j GpИL}ߐ^Q[{8w~Ϡ9r;HԞ Uf% fTȑ5G"T H֡XD8xЀ4crA+fgcXhT FXKjd&Gx< K BRm# %(yqG|1El3nG=vt{=Rh:tw~o)!fB.: <>b3{!u[;vR&;X*$-ە!̏<3Sq!<@3?Z:tr\n ÜuT9z? ˁa=J5mNb[}_"S WFo dX|^as/^Rӯةל .]!;ҩ\a'D;:y^\C$oP<g U&{UɒUKƋh{{}i\v⼧i3[Ü2RuED'BJwbLsW vZRi{-![?ʶWvJI vVJ֓C4젙<5)vӢ7 upTUȓ|ZSsְhT{l4'|!pNGkzfIN!^*eBbt#IZ(]Ee{c@ftv(RL܁ ~~\< #R;.Iguw ڧ됖vu|1X&eD$/2| RgVDyѦJ>FG;+b%'!,1wOz$/'d^jRD]zHc Mrيky[J^ ${fiUK[B_ljuE*G1U4W/_6+5WT\QeqE/Fҽy.&KF"ssP#J;:<Ȩ bQR^r86XY^X>NY{cPH9 \j|G(\K3I`SƼ]UekcCDi%(oFA2gZ%Hr}v2=g@ K̭W {f?~?:~ F'5}x4cGՌg%Չ8gQx9[Tg KrVk6yP~p н&ģMv;ڕ~r@d@A}N:@t^o|iY  똰dЂbqOybR *>$C7݌ ^<H\ڂKi;haDlTӑM6Fcs @QVFJH}恈]p7ƸfĊ*y"YJu=Rw6f}'Êx?qǙE|W:+4(5/7 K?_3w,Ss+7G45uD6/P|-/Κr׆U~R~lKB_(6Bքc>wQZ{jInۙkGg&zL7|$V^˳9w Pkx,d4/uٰu}w н,oƿ>:&U0h7㝰Z}o>3>{v`ƑwyQjR]uLڤ7۰ eҼ䬷+dˢը691p ^2"y?B];K|//=ʖFtT~•ͱ*+`; <Չ}!z^z,1Zǿ>2qbyVI5e;F] \ܚj O'fB {RAl]{}>O0eclXIZf[Z>*\&n,,M^ٴqաˋ.54BwWёH1V?t;Bg,Vq.bynv4XZko#w%4btZ\X_7.(ޥxu'g bludp3l Z.5ƦS}Vv\y|?xz_Nd<cIV*偵#AXޠWuF@^zuYo=f"^8>g Ju0ް3\s2#W([K&/p3Z9<HJ? #;a1c\Qj1%q@s^Ȥz3Lej!sȚ\dHڔVUG_!JQ|܆rXkUeԒӎK`_~; ٚaqMg;s'E \"GPא]R%7XLAajIQ ,1q˚ard'8W yL$pktՕ=%hK=\vLtWx bbڸSsRսVͲqZ/scgh}v+A„Lz[¥=d<ҙ &Y`[(@0J%+u8p}H" ?IQq1KclPo6Bǂ:N5@ h.Pi^:6喏|̫']v%+u6[?s[eS#SS$xŠ>OٻOto%1:ASt.mw48̗)}M&odZI T n-6^ݜK2f{;Ȗ,ތs1 _qpR#%ɕ]G$AEkԚ#zfg ,XZ+v܈A+5v=͖3LY7( "mpf˰ph@!f.U \$g \|Vؒ5զr[i1Z)|GLu*}xoZ/_9dQK]~98{5[B3o((I<ƒ iJ=v|4dJҒ[kV h؅{M; +ֽVZ;kq>~ڛ@Y0\$0h2|#_z(|G r` ?oWɆb32cva;5QV4W[D//(EKX*cgz-\'[7ٛyrַJ@{T@#ʿOt|EQFaTf1ģT`#t< :tʀ~liT'\f#j5cͭ5Whxuʇu+ndшr(V{ G  wy+{{ @,\f/(J+Av[3M</Bd/uԺ/5^kc3P#)w 5RuOdFg$eT2;_2}k@"[`*S]_5+\Whii} s1xKoXr.yٽfሶj&/4svmsD Q: N 9ϟ1~,>Jz/ u0N(Z{,Td=mkKnx́}TGHÓM>*iwzSV<=,ޛ1]g^B%)I>uZSjQ' %:< _ȫBmwy&CǢYUp!4g.Bha  t B>NՠY+7II>Z\35˗82v4?Ϊw1N733B?gIkQ{;K A |Kl Ljea9.+< 8 [wN]K{:}998!xYG jn!z?y#*Wէ_u8 {NyR=cѶ}r.jvdՕJ/wJL)LnYju &k5J>{G(ɃV{~_CX¶AB7Wyo@gOޙ;{!JNo(+u*N;u"QHￓ|#//5oUCgÛ $jBPFp){ xL/${R J"gH.a!S'%ٮQ!6$5 1:o|L-;.$G΁9v x`Z:oxD5 tNp|7WgFeJ Ac3\urE^θf?AO)7n&/*pݫA*Љ0:%(Sh3^Vdx;9$0'N.lݑ)R Z\zBBvᅸaX&G3AöG\(6C8(EcO ,v'#ږխ`_jبagɕDxU&*z;O5f':ଣ-QP05"d-&ͭhIDP<yDžKB#1wz,ʀA%ڀu'LP>ųvwk)Yumj?#]|`Q??s o򖅺2)}y"H*%//6ONA)/d$So֮N }YNogA%++џa{3ow,l4pƭ9%yKe]{]Z{&ی\ tϗYUt22 @&HF2&Β v3`=c,{75k N!:2Bp j2:qQ/FYŷŃXh‡Эbz+UmZgG:xf(ܝP$2ѾjIB kvfa=T&<7>xmNؿT$ JRZws1[ 0n:ׇxrf?S:(!7+oš31mhC:PԮs"{ B DXV#pn^aWjI٤($HbC)ƪjG |Ex.KSCn*,rFT_9S -1UB:?[d\s,_ZsYfbN.!m_@4IkZm)uu `]ɶJ }:֒zv|6!g7le~|L[A4Mᴁ͈H^R݇Y zHbw WC3f5@X'W ^z0X45K["+ʹM|55Igmw0Zߙ;P?`XYmP/ƿMxvf ¦ 9ɽn*]{+K'OǏdzٷ0ܽ5\s6K㿭G0b~~u#.!"s}Td^WgܥG% j,NG$s˨u"7. sc7/ai1GiXK[ͪ/P{ >Swu ?oY7~0@@(A%焍kGM, 傤pIiTW+kJ^"i !Sh{'<ήG=#3٫w Ň 3kƹO(9 V ~C#^*u:7dciL[!T2uJ =s/ˏf(wd$(n>X^{,RFCtZ/c9f9O I#4NSYzj+`2vATS2dsYnfW-&8/^M&r>yQ&BKMRlLl W5݊EʸV3q<6}'HqE,ЗR:h'hFνjȤgň 2ڨ (5ڦQH ՉB+unF[o3Q׿?x"ڔ[Eд'2o$E+~26 7_{C)]7k3gI|,Tsn"E`hl0sZ7=\VgWEZX'Ouip+¯%NHʣKmRY[1h8E{Xw6|$xub F1~;@9Z%{9-ELϜK&\4o*b]|q/TV^ǘT 1s42=*d\bru U[W֩kX[oxvӶr<$soB:R,+Fs9t fVhaIe&IVl>@(uPF3z[4Ũ6Bx:gar-Q[>6c^uBFx6NȦQ@bUadC2f\Ipǜs{cK?kb[Vf!3Ҋ%?e٤\ ډI8<+ZfM3l#TXYAQr)ڌ CbEN^t ۄ2H1\gF+.|KH%͗1v}񪢬Z~(RvͷXut sAnqCSݹ@OϞ+*=T#jO{z+6.buْ"++ LFmtX^]E6{qNrC^áz3N⁓*LDpDFdkz$ʚӴ# Pfƴh2Rr1NٞYaOuKލ%L|c47RpWy_G2%9q^0La c{68;1d+Mt,e4.&^AX "t6#DΡpMQ=WDC/5@-20$w͔ρ=6_if 6wѥR~7F)-͙D? (iHfu+T]㣎9J@kD.gⳏn5Ҁ3 .(sћGhm)!8`k֖IItaœD"F oXJ&N@ É9_^>_HjJ^+ #3כ-3ɇVm)!鎂kQا۟k vM`vkN泏O>~`ʏ`2FGt~=t, C|sRwLAs=> [tg]="۞>}JNBC iUYO-xTKeZ$Z*|L/J?0@1S/ Bn7~8"jD޳حwn._i-?` p)"_!ݻ!06S~}4}=2sj(N"$Ra/.>bNhFR zU&KExtCY=#K 5a]ԕ39cVc^54?k~\ ޴ uR tǗI9;w)'`^ߕKa:\N  `;j5|A&~67FX7H2ZWZgrEBY1n)kKKo$>q&b.-E]sΘ@ EXJ@ ]sJMn:˒TنK6 8$鳬Rg &blrQ{M2 E9՘^cs2VkGӳWip $}x|]g/^67Ǟ n/+@+i-p>wo=w *\<&Vv_EQok O1{j7OWz^Zh$BeQYDE({:2gf:eפ,.ٰ)|!F- Ӯ?/%aq&Թ j)Ac"S"R6A2ݰǿeFp=2[{H/&XF{͍{bY8T?Zbͼ£E;ꎧM.g} tY{WMgAy,ϒdٖn3 Im+ԫ pށΒ&W2{TEE$ 7H|UuvIf+pI}jwh &sBabvy숹2! >wAm5 rfx_O9hIOBO%Yv77#v?-zx?n܁Y6 _6}?sp?Jxc/ ߀18aa_.kh5Ӷ[EV_JK˵'CB,2ܓɗ;UpĢN7?,od {t.H!|x%PSRbtSrJj.rz87}s2>"$jqT ÇrD X\-GHS532Sb\"ő{WSt,ΰ C+{euy0E3wl: 1C/oP"׍# z,>q'+ 9v~ˡ`qrIкz q>_~G¥!Gd9&t#eqL,5zX4ft 0(la)#3s@hu^YC7ľ hBp,T\9ʜ'{7rH b+B?UUI5Oo<*Gt< <tĚFZ]"XC6#Y/ $\CC!0Io9Қ$^bu@= סnEQ H8@sMŜ5ϼ>֏n@αF2EMҭk7!,C9g'`@Rkޖ=Af$ 8a7v @)MMS5 ˷;Kaȱ'w;䒭kpg(1gp\cw5*yy{慽cz֫O"#'}hU[)B[ٶ.F#Z&X?!_spgc Fލpf֭f!Z  H$ wa 4phqToо7?$XX/Z\]POF%Z"(YFnU-Du~i42/DXM@u!>\ey ) ߔJ;’ٳyHAGr)]_38Ğ+%K# 0 \Jp9wƄNrIR(q.rH\_p:5+/RV8aYC64 b&u ˏ0jdhDUr2ꂤ>&kf6`YRj찬)u霙ķ??yX&B"*g>g 1Q6Jhe^J쌥ӏ$a2*)"}W5VA +z 5xse4^4Lp{_2o  {{S&fB͇!@T,taÇ.L;,f Usm`Kh y Q*j"R-X(҃6+s>SYUɧ/^@IDAT,z>tc̷ ks璵0zs-D9ӊ6 $ZPkH8ES:ۍndD@+x)odt>OΝ`jOߊ՗Xvg4!a2&n흇_N>޿Н9V cN<A0ٗڡ{V=<о +F{M{3DH4tFrݮEiO\/w0Kl>~yLx̲VK2̓LŸ>Mi&ɥv-UAȋ7wh.'0y`3< <=@a)Nba}uy6slg:j;,=ԅ6xtjmyQ}/Q5?mMɄuuy}<#|JRz.5c 7nk] sb/y SۘHK.\\KH[5fi!%|Z}ƅјl+ yY%R[5)/?{E(hlߖ#pw̘Q0a$# ɞ#5~.j V֬ \  {,u.+T;Gd8<]~OL}m4~9+>$Oscxg$qFGK ^(XYZWdku_H9Y]L5͢%˘zzg7L'n?>uӪ7ldqs%'J IƥлcNvsfj`a A!b&yhO:0\ܓ@Z<\904ă3Pڤw5Wg$8,icUK6(ㄯ;eli_˪ U@9 h*xB3fʓvpndb %"/[/-{j]u٪ށ׀k>sHSh;jh,_TO(jX\a(n5+'sQ`(YHo}ʢiw`n|֛7`|?|L}bqTVqad*zpL8]lf!G% zVՕ moKUiØQg ^J(ŏ8"liڒ@Tv `{{#%Vgw@ۈ{;Pص}:k+5)Wѷ=wO,D0KJ`'G+>N'YukHQY]>w' `OHw1Bu|Za M#?_L[_>~sgv;_~[x 1[%nuـ| ̹7TwW7x#(Rrcf/ &n$=sѿ nv2T.>D/~2"Aq fq3u@+@Y(4l5]`V9uAU)(̻CH*З1?M1?G HȬ?Gsmg#btuaI\擟l.C;R(iy£̵[NZC]I5-Wbk^#Ge&%̂IzK{6b ݿ h:ktºerpY;{5 [ߔa[ϩ.#s`Lvm M&[WN֔*G:YQ_ƽ̊cJ umҞ҆1*uȰ b.%eY~Kη9Bh?ų, `)Py2 !|>zϞysݷ3~Wb_~n=(wVMS?"Կp1=sf[cah&xT6<`XE~ x?di+Ae6zE0u8 N 2 zc!]|on# 2{|ܺ+iU TvY{$Ik :ؘwgB+JYN2yDh5\dND۬m4hȟρuHP71y󒀄3ux}aRaܦթe( =}h0ET=º %J@RO0C~E{ eE%%]~+t߸o 3[Gݯ=U iZ ƞ3N暉DYKmLKBz[q&ҿ˒,߳IoXپbXgGG6ܿ,qPnWLz+=Nhԛ"\#<0/Y, EY,LgcbktOG€v _cQn CE{QaH|-,IE,"b%}%xJ'C_!ck>3<<AYT-p 9uݟ47~KpkwBʌ+U_?}I,R)FHb^L;`,an|mcxD4tt -RGFK|j.>#U`gc3״3U?7ignw (l3i" Gw?宱Zd_1./Y1\ H29yCgfDg\ Vs%v]8j(y:oj/X?x7B-9]&膴ޔjYcV2,'~n\QE3v`ֳ~bN4>*X{bS 5a#e]IljFB漼gl{`@-\@b^3== ,QO} `^k23@XwڧXVvP >6ѲL5cǙAOw|sVd`_-w!>Қ/+uI.*2«h?CטwvK|]nabϷ((# N(EgBuu8C Stqhl㝑j_+K "%2}8[\2ϡː\0[OHm 0tir~-4ӡ.bYҷ"*1diqϵ(B kWvVZSN eA`+x.a%ˢ#̑T p)5ӨZ悔#x^q1OBTvhr񎉗'xiD5I5 g-/Әz]&[s {]^@Z X-H8;{s >G˗}9[K<[9_՚7a!۞:6LHANN_1c » MK]  Amak7VY5Vps* 2v61VhUBy<<:: BxUeg mgE!1@h`$mN@xnV`EMN)Bn5nHƊ$`&LnO#~?7b^MJxM\Hl4}ߚ6E-ɓ!,B𛣲vAƣVDܑ߬XV4཯Nsc{F͍+׭))8ȶӷ?M؜vIJ/Ss._VEZXa3Cl806ep] %͓@k半1&pH15gtLLj7I#UXCA%iW1\sFF?\N?kF,V#@0 ?ZAk" '[o#}Cԏe>VbXL@uc':%!Y'\ؙ,;0fIsӤ%}$._MUu׳'^r150vtԅH !H?ɛYO_pdVtȮ_cF`ssg/mNޒ|!<9c&L,?KU}X 6<Dw ŕS;lc#&,\]ݹvQlv"c|,`T;5K0HzUz{2㎸kYS Tzm9 3YDVXSvf 鮤=I1 ?0fBGg}4GRKs?B*~|{hҌ"bB3΃LϏv[HܐIg%};a=m},>o{PcQ\-VÝansҜKˊ`q*J՜z[w\R5BlGX}e(7>y *BBLIJPpݯt`35vuRo= .*S|a,b4 |,:^̗fOGd(քkSSJwE?ijưw#FOӿ+( r6SaD?/3hR> 0jVK++ftѶ֬c=Kϒ%Zd9.+;2_G7 "FΒ u <6:I ƒֈv@HԮoZ8~?RZ{8hEvu1sUV YxOWJ\z|`6*qdm3I8s6QŏTB|ZsWJ9<</_R*B lyk2ƒKez>-WP87-pwM}|CM,tLU@7p!D07W I8+bLHخk!+{oun_wo|i^މ|f {BSf{`tR+*XN(a,vX`1W="/8 !LCd_fY5 l`BPXYf*$ >:t7(j6#mVQI]k(n ޟb5 (6,SB)f Y?ea GÊCoqK0g"3vDZΧa?5 ח+#Q{4"*>IA{%i z,4Hy󲜎h1z0%Dڇ֛uQ'#/z~}a?~_bŸޛL eT}W=պkp jB sc2oȕoA@>]tŕx<*}*+. 9p-@z֣ {9C ΑEa6Kv ;={vnN z:.AO`ύ|y!5^eoZ~=@G3{"ȊQ>/ =:ٓwhU>))|<ə=橠efW } `<5C{I90VMTJWaBK.>#:y%U5&Ժi>v2ilNvgO]ڒx]߭x<`L#/K!Ks DyρB\>\!}c=5:@TLrq]cSFb//k&aۃ r0E?Icj r,"#4>cϋ攚{˫?y1sKك9Qhomud*i>T?-XEUvun^BFiJ`##x~T6'ApF.}F9 0?{N&G/H>~c40.FM_y k S2,>SQ1C3L$\a'0{ptmp+r<!=$ \BuaلaZҟ¾+{ou@6:42BcSPg]x:ZLvO`W,=X@hS-3Ҍkck%t>ˁOGK$üQfYT\26p1miwĊ8,94Z5#jGF!tR^5k>hyOZ<\u: \BgfXNdK\ 7 wH,H (Bh4nS}X0?8DKr꿗~kւ3ȼW {/`(j|T~ƍpdχc59"&A ŹN;i-GeƗ>G_h\k{/8CK'D<[Ikh$`182dBl=ӡxL_~}g0Ok7l!0X$ib%]7av?CVG?1(( OT<(f$rI8Gl|YU_= <]93ʩ_GfxH/ 6]I«%v}"W{Vߜ %U@;t9+t^Ѯ% &NWbɷn,H.0`+\U `L1Մa:fm223˓U?1f®¦&I^_ۄ#ÊP o`'6-{/h;Jro-JyS3<)J.,Gda AJ&WZ;-N_RPWP"ʼn5MnhƆ_vnGXsB+ q.oTQyM!,F]= fB^}vez¸`~{3ߞo~io>Ϲ*z$,M.$|Ylh}P/9_BKdWLx/sӞos|3k0Ǐ1}ie ~1K:i+BLX#d0A,]BFcDIYjJzbMe7f. :]U`r> og$E8[Roqv%)ѵ2+PH؜_<ߝ^<ߛ/omʏ=< 2)swo~˞􎁧E bZm"tVrb7z{/YEKjHqu*,rA iBb_W),CWI=M"4s 9̍hF#*-a%Q+^O!:%Λ1%<$d}ﮓC'=:㈽rV!Ҟf˦eIY?@/0 ZkoRC`$|WZo)ׁ{EˏηzX'|(}m//~?䙉>R oϷ#{8g4'C[>z>&{oKHPBUtDB D>&|͍UfώhkἴFėV?lBmna*4ƜӀ9Z-9vZaQn 7L het~11!?d!wMh3&=b%+ űS Pɟ&*}>z= "%0@[O3F^̍r 7HCםMXY?l*3nGNR6h{4or<~\锂/Eaͳx}O<1jևVF7rѹN$p)G I61|u?iC M\**ZR[ s?A߱1՗j|s-{C[O eh= B8*jKFE ]w1tLfR{1!/|Z2UodgyM_zZg $\x\/~ktҩ?׾i 50kw^M>xhZnZ%Y[ ֧15k<. _2"t?+BQ 92SWzN[y3-T= :ϝYO\[W;A9sLUMh "lM@>qfijUs% )1Yclߵѵ_cwԘ<6~ 'щ '-&ĦPi3+(lluH9aug\D|L{F'/&ⳀߛabUN/ ihQ0zY,ĸ!W;ŬCTfF<ϺO%,Ax;c;V,y4i mmRARMx=%eˈ/Dsv4BmMÝbKsTZ[/P$w}7T'WZmm2Ǒ6Pv0sZ]+~!ן=[{q& WNC:= g> 0U[wF; by MD=\/{ca(Z" }[C:OY\,M\H0l! -\{/YPm:v^`L8WOvxl}a`pM+9m&"g`/F>I4^Z}mz0+u#K]ju/%8 1WtO* BvscVH~Y^#9NnAW=|O\EW H0Q\Uʎުtٜ#!<_#\%lf{yS ]Mr -9fnmܑS%#K0qorӭ;/`ksXғ E<ƹ.sDTDp}){/ R߽UXDcʵ62ɼhV3a,jҜ?_ɴ|qZTzAs=|<'|]َlo%ud nS}CMZߗJcW6 _`u Eh@HF%\\ lڒ5>7H&lkdET+Q&[P ,,S0ׇyLy_fӊ0d$&DƢJ HfGa ?vGGϚ޶эɵ0h Gl p|eoԢ~(͍<   / 2Hi灗uÞuQ֫Ђڍ], ,6\`|ʙ޵Σ;w.>S9._u0-eR[6%9G#1%NRyIN 4TO͇)_f1xY4 G0|J)#qpF(KhBL9ygt_VEfSsR99 &Np֛';~to++\kїyz}Ra-[ko_z DAcIx͋_  }s$T[3rbL¤y3XRĶ\ #W` }][# )5aT6E(KG⽽;o/dl5rS);be-7SU.L4j߼خvg Х `t1{MwZ>n| Q-f5}@8jnRZJ̕ظ;p̭RCiğצ}&DY*,wn"5'sw]Laۏ3L"h%<{g-`4]،xX& WXl&oTQݍz>5`0JR-yYYB䏲W We&cKu+< 8uhdA Ḱ|1Ѧלw_k^fs[_,u;ܴrQ"\f9YnWݯ}؍^ݸm'|ʒZاY94nEG;:,>ba<)a1;Fòb꩐溋5+2\782v z_xwvKW)|3o?G( ȷ=po]? fvY Kb@ =TCR[WfaEaRXlO"si~z_u;IU妥ɖj):֝|<˜jnzl;aNan툛K5N-zȻ\j_g;ou_UN`t$qu%JDs x0/X,ۯ_ٯǯ# =?c_d.B N`|Y珯ur-䏓{m)0"B>ݓ_zK$* Y]u>#`ymRk BjRxn.á2]Ϟ bB@2"3y1a6BSvc\f#Ēh5k}{7N%J̉s3x3z$>$eNY|1k#YB?'"}fg ,o6^hm;p),"΅:sX(59r χaE"v#7P}n^ G3+6JaE.Vu[t o|HX"뇏{ zsνIj%l &Hknxh&X7cC={V^[̔<;ϷӇ|>}Q~giʰ?3\7 WҪsϜ(B@5w(V=Z60ey%)jg_]Im/4(N`@n\81Lj֜>#2Su kg,٫Uq djݕ|mG3"CxA:?"1:d% ,$ Ok9s|g+_w@} ecf^:͈|jߔ=@{nYY>~: &\&Z[>~[=ҁᣕV:aeXcg0ͪÏPC@.Vo[g[Ab.T( hC%-==M$p/6ׅݒgw+BpScAcH-ש$=5J|Ht8L;%OÙ=eVgKҗd2S Iۧ"y6疑Kӛ(JT+saNVySh@+z!aC@ Jj17М<š5\LÞDbՙ: ¼#kT=GՀ{IȒ8*Fjm1f/aMk/W,4}bڌ{"4y`qGkw̧/#<ȸVY@hX2FG7r|n^_{dkq  [rW>7Ex6?7U4u @M)“=G Oܰ/gdTyYI="`{o6=*hx]ڸ!؞Gsz g|[olI>3_ULHan:~/4N;;+<8BL;B[{">(i)@}~b/Xܞ'd.I[4>j=ϔ0 rHRM^,df^1a ]J1 ֳu .xښ-Dm~>A 1'sڅ5kɯW DWx9zk̽TTa^:yf) 7L1'KL8zp6 zJ+)6 {L- % D͇~0[u&.qp-ЖOߠE4Ҝ˪Hs:vA 3ӊή3Rg~jӻ?0)Ĝ9t ?ѣXz6(:$}ͯ|eAj<`olkS cOʤ\r"~&` S<:3ɯ:r1p5n/NCVqc6oyXglD}עN2V`Җ E٨b #XnC-eBظ&@t/$ld1d9sr_ӱ4ԋQV_S#)#ynutXqKiHfAڳU3ga LǡrYxu9rͦmVY֗^DSMfOC&4vYhuP^a-p _ZvVosq/BB/^cif" 9շt7}]Bh.3VsMPvFU1F8<=خć54{)8=s*)_ G@hFDK9@}m 9\պ}Y#:}k t˲u 1uQ*ZY&[V阇V@I> OG>?OZV{Ne4ݨĞǢ^x&ii%_oO;˄w¬j Kq@嗴:4x|…N!›2 ˀC/EjC SRpG #p<+M!ojjA+,?}iY%Pg..43iW]9 uyTh*m׬h [T5u=iV u}ܣ;gs9Ҫ R~Wy3{q$(. KP:.+얐~C>/CpXNFU-A t _٥JF0E(-I0}e+eJx?g'ڔWhٛ{,A8$_ͪ펽XrD_p:ED~$P,<%S9 0,Y[g0ont"gR|MΡK!eP~1 akZIrfvBBxYӗsӎr{ܬ %6>&(c`?gs{/LCe6j K@P4qQ?}.)#) F D#S#a6mN *t#=EDz޵`;Թ2ʪG{ x\dȖ ߅.ʂ%, cs&0"A>}%%F\<`iMN؄ V:I vDCnmav퐵*w2Wn$Ha6p(6Xb^_6zICo/pv|+Wp I9OCrp+*B$mLQp#D_<)CBR <B?#>TbSed2u)[OшSwˤ)e` ],/wW^CYu`bܼG˄ EK_V gT/DgK=??f5kT9o_`~q-!{bD) <9!~gI kV-ܓ:6k6Y~:KyָpCڲd >'6G#,O!;l%I=b /cYpE>1L #?$L2sF ߾58d  [k 1c>l3݇m7%.>\$o[,kGʰ;Φ~ΟϢ ?|vQ0_dZ<}NkLZ*u>Gf$|$8]N{mQ1J ίKʶ7PMoJZϓľIIwoO 1\6YOt~%7 lEgUOHsOK$P;7S=_\qhyx(u9 yhk&"sؽ Y,xIc˝iD\X\Dfp[Fl_u_<4[H>DBS`ʈӧiw1)uD;QY b臗IE7.cP&gBPBd@4H"YF_V#f9ak)Iյ"ktsy+WZ<:^9W,#{Üdy۽B,]Տg,Xg[@m^_Qj &LplJX=gJGЬbjCNz`3ٙuEh0TH;ȓv+M̿bMg򫓿1qs3Cc bC&$ts&~_ hOKٲg3xg"}60[Rוs _ []~R h@uyl^mꆛ < 1aЈA飶aoI/"sBB!rcsS!ŀ/[$^jcCXGDi=bXgMsܻGLche5<_L>uB7dQDYVYk%|n$m8%t9.ٗ?o7pƻ{-%ioo Ϛmٗ.9pV}aߺۈJeעLPgZuѣ6☐hxG5 Sۻl;Lԩa[7gOdJHp(oj?R$>ľLxG9.0g%ɓ9+-#Y*>m-ܻ[=wʉКn­Vhmy1F0zWpc(;+셶>)Dcd͹ѫK43G& a&!r /Me_Mλ2~~0!&;`'ktsOP=IXMgঋ@ ǨWǷ_Pib[<Ӡů8fd'vh}_&n<2Zo3+1]$͍_ z1Q2>+H(gɗ|54 뷧Ǐt 5MXc[0 .ِ `;[ B2Xa>BIi"N\ssڃ"&Ԡf u;:=ָTyESχ#HB^+vJ:v`&/ NTF#TptM9du/z{og|CI>YI}OP$Mo­|SZ$ 0n}܎gD絇0 _^)+~1QZ 2Po4MǯnZ̺@)~yu hlrs55,qX8q#sQhƵƕ/Fd@feֿiHdiWµ)RHcT=`kge8#fweЧ#gC֎gj8ވ+ܧ٭1Ec{`㌵Uvr䮰~g6yJ0zwLeGx>T0YEM+s%1mUɧrfÍG{/+6!Rݫs-fGO>႖NHX(.MW9/ǜʼnG%Y{VKk4Qզ׫9 Պ7 iHđ6FU ֌_|^zhTg T|ʟlSuݽ\^<9!Sb-a'kvzܳ 菐mwMi{-ZIV<ַ?Ѽ33U|rhS=iz2l{ΤLɕD+yz6CUJ\ #ڥuyo1<#h^:F(8c8p` q֦IL.F.fx i:O.åEwU'CIoGYg0t1ry;k1,v"oN?{~fc{}8}[ߟzk4uUtMѮC~ʹ8V1tI{@O?>Mg((Q~.cLY=I//TeT6,,?X߸@#0ߙ1 楓'fr0͞q;kWS3hg8CY|z@Rݗ[:$9 xxMtӊ<Lz~גPJ3j7D[oB J]yIPTPD/TUb6Xx:eެm.<,ª@DfUWPI=]2|73Oխֽ]ݭԻݒ%yAeKBf0xa MxBf`g$,@ 66ƖeIZ[[}}[- `tX4y¿W19*Qm=]x╫p`4 [n,e 2ro ͙*PMURS[vF}D`Oٯ&B#+DYʨ@w^?σ;Mɂu͔2'n& H vFՕ%-Aap)ѬXgY$[/YsO/8ʙoEl‚N௑oOVxlZ0XTi !ųs\Z#n \ar .E3V'Hq6ߓ6X?tI 3[*n{h, 7h ߉%A;^P"CcL<2 `";m|nP&(-Eq*/A-!e8(|c"8'>=7U~Z5g|!ٿUwR x,m-tM&4%Lfi1PmWpm#-^Gk2k,YHo6Sp})&lg֐+*~\Wk&b~wĐ%tu9&4o=1YKۇs0 x,\c iP/WPk̹Ru160ޫ5"/hR6~ ?ӿNJȒ{ <|ް MvM!wECZ61PDUZ{_PkߙͤUֵuh]&֪ϸ6Ja[Neaaq`e ZkB[y R]X,J!W{.-1@xZhQ=)omie CE"1-qq5SqNO4]Y9xұe` &{|L@jHk'@!נBg TcLnbK0kӫU ꍝɺmɾ6\3v6KFpP Du5mlvMJlG=g 7C:uozd$keLܬ\{-ܚIg#E\ɵw͑Q.W@0@FR#P *@E&{18DK(!*?ů3ųkmg 7-O_.z Ȓ1㶨M?r;M=bݕ5 g5QdRc 9J5F`TQRGHXϻqmy2\0繑ReeNg3$Cy=bkW|_rt ſ?>o]>neAbUWiF--5VF^vX_%B-mu:ӯ,NyM'qBQ@[d3fpS_]wH+]HM d!wHky {! 3\z`N]#2%¨kfk%$Q"O]VnQҌJqqFlAZr.hob}( g0 gMy:DMxpxn>Q҄VߤMʨIVFP7UY)%o\KO݇%-h"*)y<y`E4x3/5޼u ƈsFj@XvQ6Gu|dlU䪆\Noh,!cak\/´,&D*zsrIyO*%L\G{z{\|M Bh|rd>VOt*u 燹9Jܣ$'AzF M='[b4eAXڛEm׊B{ZzY,!w̴ RL޷Lxfbq)UC<5_lMaHދAҎV'69G#'h<@C(!-(CH7dx 5U!|Y\S^Vm֐Ru &=tv=ng|,lqi:&F%t=y;[>xo:8tZļbif)~X!7B_ehs CAzE}ˮK9&^y~ѻP5]:NZe$=0rER^E nlf݈S1| 7]w亲X*@t5q'mEګPAl35lh;B`>D"&9}l*Ϣ{'kӝڲʝƱYy23уfj9eΙRFDl6#۫To7KwF2ev3^U$P@V{b.^: ϾmqU  ]S(bm]DŽAު56ߺk hs= \A<;ƀGNaTh9mֵ*6 9Y'Vp$d؇~Vxah\',u%@07m7%&-Rxh(_[VNuK-鶩&vef^ݐkXdz9)wvMrBEE0juXYE˭&a mCHJEt! \LwQ(_5+)2v4@}X^SmX*Qj!P3F2(vލYSD7Ѧn9v!ch9N9?Gf|`5V^f ut̘YRSolSV=S~;/O%n Oj"DZIm{,>'?/c}+G='Œ,K?q<>=?}'RDoHVfW',$ϡn%Ʊ_T/tluC|gez.;oC6J o|5Gc7GY/X\ Ow7hD<6d]T_݊ץ A@6j( 'ѴۻV6WϾt}4ma"4`NzOc@Zv SO 4֊PǍoе6hMgGQ Ĥ,L% 2-F3n0{eQ*%O$8Hym4)H׺ 6z"Us36Z옛I5mgG,ѻQudCj;x?oE OD薪SErJ*bX=y&sdFȵҤD cM.q79il<%5Vqlƶ,徸NeރTT}]4zjTxkŝlZOa>WQB&gogAMnc :Oh3d :aW[=xEʌB·M pI^kUFlZBBdb~ XLMKJZ2~K~L8 g,Is  ]942r<_"1ş_mxh,,0{2AF}qP|)c<%)sEILvxuBfCh@sz}qhJi5{' sKw^ >]zlNѲ%\Z##x_= T]Hs&Ǝ]{B?}}nmڝ}[5*!סFN:NQ}ߌquסV#:V L=Ii_Q017`s^ Aq<ݦDeEcm˒k4"23ɜ}3_FsO۩ng+简!qR?6vA%]ŴY a{_zbT r2ĈhW"}Ȇ!ҙ2B`א)YaC4BюVPzӽ( bMj*A׌O2(PSbNZ7znGű` _)M xk,MO~{!i! +x_z<-*VXe{-I vPԤb5N[XDdr)xfk%ֆ#|¼}7/w^v𪺸 mc/;O ?Xa}z),}q#ړqp]e9e~2BX›eݏ<.^ Lq83 hs'< zb(7qIÌo O/ijoM a E#ezQp4~O|_7C8ɳ]c~{)Fy?Mn|Tt4va龜w- D1lWzkDqeFhOҫ?<$x ޞ m :8xQP$7bc~˗מoė?f5' KW"wS_#/(Jkq*LYYw I<ŋo7f/|x$dXt:wg=xlj:qi9x}[MaC!UqYV_u|Of#KbQ"aʫvlEwo#|d\#4pZ[cTC{$D%!A=OW#=UoO>s A,?eq=ƆI]v[c_+KN؈4MTPöRoiƋn+"sP85u9 򃂗U(mM19UkKz.5iǽ#ʕ>F>}(͸6=QMh#*Ǣ SJcO{Rd2. @_;+oISk<(4W;']A?_F)ik\V7 &$W怤F)63\'b:ĎAX͛W(i'SPqi)a!CPb ]ɺ嫋Y6AZ9۶YB@=08To({AՃX˄2X>љIؗq˗]a!P{i뿎ϓط2d,a\Ϊ4vJ1spѻ1?aVblrT<;ٸ"[p >le,38QjY >vn+5-lk(~AZ/l|O/=gk|/2Ƕ5 ȵ42%gY97GX H5gX✝9s-{$e:>!;JX!Дv<}԰Ps4@Uc߉z;idki9M:~، ac&@*5[: iӁДVdزhU Bkğρwq,=رSkt:8Hu7< فP^;IWoso:,O ގE'Y%^ *W B.Ip (!Lw t}u֐(#kyN:HО,19f6]~y:DҒC`+b@Po@ABUo &<`y8|mqǽDؾ}x ^ujc5sT<X}=1ew{9.X|^Pa3(i:sP<}zG<{ ˓g3Kuii ,8F|+/ț׹ b۶-q/>u˖؂w(*b>Fd͛,>K2$3gN؄?\t +19vES@y'k嘵\pk]P ӇG0՞iVn@56Al![5*_ZZDȀ 8 qI\1*^ޜ\e&@HK;X6J"zM بĚh3XfPF#+VbuĻY c=]lVdқѳ!e tC3p2jV#nc [kF#s2d+jN0`meV"iʩ9!1MWbf ԉۯЅf xvonWڋU1 $C}X#Fݥv,vjFi`yO0nl"h]NU=87d)f9b x Z:&. x1Lߺi%_9 ]73Q[R??s'LOY=I*Gl򪒰 Ƈc5$d`g8{Wս RDزW>&'i y<x /oz?xԵ ٥9bx񩧢{ez:{v0`&g/_ Xg; Ǡ#?4o/Ʃ;W4 y;S;[W,iJ2u{*TqM)=i_O tq=zi^!YDt&= VRQ({=b߿v4ނ$֥%AK^ql+@E'DݸQЄ력mtvpVļrG(w4:/ϤT%2<|xn5[@/~fPsC4 #XLA NR.bU5<{v_p?5ppsZ6vK,X:9c= 4I[xϝ ,[#(ځaRH{٧Yr(-7$E'DB=;Y7- v7+·}q=1sSsWoZ(?ݱhe?9\=C\LqX"a~ 3f42ǔeK\,7dzFFUY..5bv3܃R|A+Ӧ!tr6-`[VpaG)D)}`up @zl`a*.h&ׇK{&J0:-l 8@WllHj!a{g;i׆Qx-:)TX,:b "3$uR+Js@yi)LO!u);VBXlXi CNQplb¡Lhf'ۡI'YNnY!_!jڮvН Ed5!mac-]Yj^mD"v´ɡ\:1@ 5>‚s;iG,=6,!iTop"ӟYkˌO;  Vиr.GY; )șH]iQ+n`&2 uT)&NSs[Bs[_|_sarxnin[n;">#Lk0$̴p MkC~1SG#kMj]oăE|a7qz)؏|>q8w(MKqn?}45)wc wGg՝*\`0[{JL7")4jH8s1r+έqY2-38~D_J1ȷ<찳2(EiEq h}# ߤŬ w#ղX )?&9mhGVk6Y(e0+Z vpVdÍ =̧d6^ F hQ, >]]Q Iji!cS^Zq3e$xV_y@,[؆'"| Ɋ1^VЙ,'_%!F!W JLoN0C쫐Q+9D {(SgndK1-! `vfȟT.L؞h>_=ewO.j48 &`ۣ43Ï08ȼQ/`YSs-v m <ֶQl c7ͽqr;:x{X艱FPkh8xCGcgwo>7žҥ/㉯Nu F~XgOKtZY^].KF5<< :E+6%P]9Vs2&Ej:nxh~=t$~=o>{Ѱ=]k0_k{dzPzzX֭=J| cϼz|?KQ6%40p9#N~Xgίč`+eޣg$T'@/?o|0Se\9ߟEEDž\Y^Wz01ո_]f xY) v3=>@B%mL#f!._d!עFUB8ZIr37 ) ]$-V ݏCǶ .dahgHf !'<3?n~+0rt|s88z$ZN)G?[Kزeu-ĉ{Qi:H-9RIdPZʋ øZ/Oe,f#khМVc49W"Kp(0wګit8=xVM;1@1^`øY چHr:ϮP0zy^-zq.,eXAФ8Pf:bdA׫{W^M"{11'Vg`aIDoCOwTɉuePhOC)B3ߜdv<` Pg?vmu灸ok|DyzWC xR}xz;Gs!^x9fU,]=Lݹ5ޚ-W>ѯm=os޽AH#l}p㧐5GG/g7sSF&Ÿzixϒ8J+_&4amP^!jqUB)cnyȝ3'eo&1 ngQX'),mp*FnN">4wQe$v `P$['GX<]SMDqrP+ hVnZCz''?K(嫩 oZPH\-P 鈭P/]USD;; kK$k5GyoPJKA&<: ~fj칁2 *i`O44 ="KS?>{ R pɆ6Cr0l!-Mq >uj̟d4"d! &eV\T`e)Q׼Lq +f@+nngO堈> x y-ݲL ~SljьnzE*L`-m*EѬV+fF;Xa0fI" 3y9U#_%|Y#?PȃAT85nR #v]M,م$@m[k84c1ߣ4)*vb^ӏT0>mr4t5V5[e"npR/y+sYb&k+fLPTSbߜ.E@B0gooEӴ?Y& LV ^IB(ƩCU R(0cX ~E].[:=? Y'8Jkx0G8q?} 9Gi]3Ժ- id Mۋя<p%niX#GhK]52 NM3xsA Q"IcN*Ak?^]_L߮G<Gvn@Z2ч`@qejZkAqKHAZPn"k(*XUAM وªB[1K Y=\[E/s8 R bHbua0:5Z9젛l*n^tU`y9Oγ5* u,""5瞘ǯA읓~=ȾOJ6!m!ECEX`*V(&gx; a*u=F]Q QUӠ`²a 26Yp-ʬ0?M8~ ?Ƞ=tZEnc І/M ҷDWbgFlN7-Ga(d.6o]L42Fo>=;cں=P}wg`DYU͚pt?fAyh[6kXfQ0Uq@`y*pf=Tfrstk"j7y D)N@jݐi-+kɏq^6.)<4+\X!X-+">آJipeg?bB v~duUbyb*CERd>O޼4L,6q#z'SrLTg:Eҡ+pNa;^UY S!ֵjTRMM\~]j_0kE۽(U_=c 96l{<iE;N쭰"5})XK3 LIYViǕsBML]ξllӧF߽N hΦ34x8Ykc!3ѓz0v0aX \wÙm~l$ IVe O{ %L^Ծx,k􅇱B!Lj.jqJ iT{!ebxkwBF8xFI$>H2)V7eX='هVeNM,AB}t)xcR|I~E(LkI_\5r耋qY.ܴ,:E(A6OaH Q*L>^ {4 fH@V ؒ\"NNYll%ŌဓgJfb 7hX0Ɂ(WfހT~ ` *@U8xÝ!X|_PJˆ#&x>6Bc<"J¡|ܷmX@]a[;kv9)hSwizmieDb灡`Mh{o-{ʃ7X}mv5@ʄWZĔM,ѿ%mπ @:ءraT &aQ j(M#' wޅɠ-lJU^j]I32p#-Ҁb e$op %lS0"kN $xt!oD(P[!Tr$I{<ۨyiKL2Op'=wyWEڍh)Hʚba7L tV;6-5z&6+Ȥ~^v.^zxξC$ )U`TXTbK%va0 ܉WpK‰,cq'f;bOMm7["B̻(mٮ]퇟'ӽT܎ [C 2hVu`y9Q䨔7zJ{^`spo@uN3T~5{\^;J{O.xtBKqiJXd 70CZ嵈;wo"؛lgi+Ӭξ,DܹGcn?d$ﭝ#YgqDK!7Ë|W 9#Uilw0.O9!!1 WIvޘgɯĎ- vpy.N~ .Z;2X3 cSSu<uO?y>vrr8E< cxtaa6֌E@ ՈUb w\f_%>u"qȬaٴ8`^sMh>㕖vX2;!etֱ\SzZƚgT.\cU@(mc) #_gmjB̽qf:# [ veZ6<z4f*Kd0^Mp mxGe Bqv&>e#NT -"op؎3T. |;&O=ۇvE?o?/a4{N _SN`ّ:`q!z:^EN ^Bԗb^t_Koa02>pD-nLQ%NU*ltI]Ag5*URr)HqifTEmPp악4SWצ Y#ˆV JXnyBP\1 K1Ԓ_~',7il!2}y*Uْw3 \uk3D% sh1 N/W9^œ:-ֱc`P8hЎD,9T@ikAނl24u+k~3GK21 NKq L @Z 3V;§fC8VY4T9s(h:`lN1KюⰈ&M%%>d( ]c6s?36Ia9S`uXhC" <|IP.q *#ùuC%6䟺EPNk/XAI ՠ-x+ 6e[Y =+5E(emZiVU܈}*JJDLG3To9_$x߻资@Z]zGѱ۱;e;&PNJQ=phy\{%_8e{=zxٓQ? ėWխlȌx6k8cgacIlw8N@zQlҗA8vJUcY QKad0)Xygy'9e>\@fzjUC=eqK$׵N%MD7Hi`c=4f54ˮ+1 3d:R)WpAxbKPX>K! dZChHY9:\1jd$$LBҍ_/z4u@r)9iv<2asJN!Rg=@'@ҺL-fUswScRRѹ-%G)!#6M# E;z19\+Ve NʎEָN"BA jq -hb0D ZMU]yO˼vog_.66䝮.@;>EB/)j7(fTsQ Z%gzfB65:-F 9އ3ƻuKk^o"+%l _ĴK3l;kɗ^{ivnd i2~!}1&(aQf.8 }01cl|dtTk!!xj4}p`87w[ ? (PVw!9r/n09Ѵ0Im"z JxkX`7جR8B}(M[ׇ 9==Lb97^J2ZfF' DO6SrPSz6Z~ii<j$޾K,+[2iAHvhYqoi_\dܑ[M,*[yW2n .=@8ϵR&(2Hnzf8 pi,aȷ yh_!)hi9rx6Xa#R ~NJCM=Z.W:GEZB.@|Q=VE#ۑ˳S:iMq9FQ"ȔH4o#ZOJ%gHf˖/ ^ 2d] V?|UMv X %7:]}Ya! s=Μ>MH;"!]6)6 9d8dQm#T{d>`J\WXc.fHMf 70bNL:iųuॕ5,fnkkLzccy)YYJfQ`(P>íӟv<"wNWx13y-_LyEH=!ӡ]?{J̄RuyjZ Ee ZC"ƑE`J;B wp .+f@E7qW%pH}iNeViy[N=,/VI$9qHWz ht\d,8Jb&5j=l- )7REk'j9McU]Ljf8*s{ <*UPxxTz$q`Zлi]>̢Ϙ~EXֱdR< xz(kV:H|a?e<@="[wMa=me #h90U\K%=5~KyUW.uє,'y3T$vl;_w;zWw틕O=! Xo-j8M,[ ;$}vz6q?,`Ky&~gu*x;`l{9碈'֡ $d ]#?@Eik![DJ!Wv ecW_g(z H|M\ BD/F:AiiΟUƈ)Y,9[ȨC̣<& a+'VVX@Xt 0^EǞx;231zM3u*$q,IX =:))&tT9|大lҀZ jaR]_ ְf,d,b=[#KGMalG-&_$ ?Qv\ݕ&87!s`h+tS^5U3U %xox8tQ:/ Ab zwƻ85FQz=PxOW^Dcxl#VU#z6ƴ_/34q@l:$kF{uyըiPf<7ٻ 8Xo8I9=AP ,rO}\"ެT;I\R٤I6 Ƹ; 0V}(}ǏUߔɚq < ^|71_O"y%050tf@Y=! {P; UA9w4,b(pC:qsCVb#ji@xh3jSxc,2xbOrqFWrO#hzK+{k߻wͭIq'HH{FѢ$!R}V"xm?^)d˄4{`%♖fGHVD8U}JʻjR{Bg2Q@޹sp{dW~˫8;7C]/ QHڢ6_4ijݰoET֥o"7p 82O|}7fbwhсcM,pAT:*b"=ا4NYHKK5M5ӪJPW Oއwq:kp jjXri:#w?.BZ*v1 vWdk;&[װxb8 :UMpcrϼx9+;=~x97HGf 4fJ3e|@%ץ~T9E&T`T4|@A4+ɽ<|!ʼG^t&"7`p > If[%3#7mʩhrC@IDAT@Ëċ ap% @0(/3@ ǗMՉF46?Bn$݊@NElz? ˰jX1*(XHNE0F\ g X[5l52,@Oh), *ͬkk/5SS lbQ4&Th\̀sQ#=eyսS4G84]:?1BoLCB5>쇣-'s }߿qz(Ι4WdXcNӵ5qJim<c:B" g hes|tk3G$eE [d _K{x؝Jz;D nk+#@4.A8@@guLg='I޸Yo@7h<B$7WVʍ\@uRyɯjNK /`k`3V,d}1|,r+3u %ViixKm &Q@0~M䐂9^Gxُ Y|~}hs6_CG!ʳ- T ]ʴ~?o{_~=ocKGmhfK4<揞 ~E:HCħOyJ p }b& ~Sӷo9ڿrxG]CHJM/[o\~ d*Aunj=P7W*_zfn뮞~tn7AoT&4 xmqlt݋Ư_Es|a^a.7Hnߎ_z>,M{sJ~a1EtY7IZ0`2܀s|Ϛ;X1AIZh, ICX8. , FV(p"6vWzL@1ʂ0DAAw/lHt1fY&D hbd~7E3>),hk>,-4GTg 888L Z[:BڎF)\gK u̹ZyE`uiWulzWp g45P vi>yj9]JzOͦ‹(>>I>mg˱\BmaIMk0yp]-mY3+(NWׂ .Xf|q}Ng|TK'm$"xQ*h+Ȁ&Kwd*F:c@/MY IK}N?οK[7?yQ ˜ޫl=CK/.Cs!Rxg$<ھ^@Fc'Φo# 3,g 0sVFfZR3Q{]owNxzN=Ȱ_ON<fr^gN2g :{syT)ܠAJ/YZYxH-MҪLɽ6 `Xae~sT.i/46 Z9$0p DsE##臍Zmb]Pq"h"׳ZMTMXH6֌QWjPDfT>i)6G⷏/KDִKbFbפ#X!O0jm{ P J.q[h1N 0 13(i5~T#tL31C0U4_loOĚ|Z[N5ku>XOq{Xl`!Orp pY {ﲼ}TL$| bDJԪO'$2 _,q_bEP灴 H8 xAlAgԘ RSѨ D N?K+-nonNCP4ErtHC'P hmU( ޽I6fLׯc º=.vwqBX4n.9P:_7͕tx~)4UkrV06kբKZ!*~ <{lz9[ :Ό Cu6J(a[;F_kc3ƣ0;BfQks7F.q]},~GTuDS]lʩ'ӯ_Q;x=pdрQOX.՝0g c8;3Zre4TP-h6݂hƂE̓p h1XZ*of}pSi3e+5Eh XS ۣ;g˹S t%b1DT"PwI- شuٹ4 -b9OCeqh֒hQZF~i){c%'^jsfTsA(7YZoEL2U[t9Աfػ/ǵ1R( ͝!~z@TWtGS xo+A7I79|#rYaB#)=JGEVE_¦b@mlfƄP5p F`uT -oV=+OXrU&OtAX`A8B(3B"U &II\*@?UG|FM"t75 *t\]ώO?t?30qAsc 4$1C^ j@Inj%*6'⦗>兙0T ߥnpb$C։u;]t)tֻMS:,#KMH7Fcr ig}Xnڠp*఩X‡' #p!g@;6 P4s7M.֐n`&?Z*MS`yrΓ,՜`Nm2!䢝UG޲]cQ컁!.:F3ʀy@d3/"#\L)lkEPh~'F Z} 4p| I'nD-ޔ4``66m UK9m{tl7A퓇Y;Xj(_HFeg{bi4ye QtMTSt)ѦȤ')#C(L&l#ox\oJ8|_Hdi>F} W[1af;`O6HP_VSB}}yV{81A~*"t`5#벎,y?6Hl{}`5k5 - Bqn u#lL2Re`{&BUJX1ुT,Q x.K!{;}N]{ߦAqcq-M70Y̆ܽI@E=6ҳL6# 0pLIkoSgȧ*WOￆA&%q3Kl؀'&ƞI_LgȾ:OnM% "AI?vsng`L|EGƞoou0(&#L!ws !iGь2[B]]f.Fe W0TaE&F G+]&7 Va2~?X~gkCKD4""?a:iŀ *[$a-{QMr$:jN3vF* x FXrjn(p_H'OMS3uLʵ4?O!Lv\r'ɜ;Y.;X]Dpavp lw4XF)cI/!;h IV abpV8s@C\gqABSsXw6J=wuOju2J}QCx^ݦgU!l8 [3B,g Lӗw1Z>i9K Y aH/^'X|ҋϪ[͹Gޯ5_ݴԝۗ^'W/0W "tV? 2:Jgg sw}<+!z.ѵh|,|Z= յr;; h}fjw(? ԳϥSSP"v|Ztǭf-#<=6t 'S3wܡK-An)Biה+ΞT'JL2&#F<&H#7AK)r` Ic8#e0r -chm@B{YU0*R!@ΐ1WYGfW`cc><3yFϼ4׍Q("(0F_mcWIp R~EǡZ`*H apz3ԧHȾ]:֌bDzf A1HKvyХCQ.j9ogl R E1Ϧ'T:~Q,0\d6m C$w JOx5ĴZXYh,SZ:49Eڞ(4$_qZo)ΖLR@-dGSkS#,xttfG#g$4e{Ks(x_ =8\E Rgߤr,;j ɁLp GλM=^<)E:x2[ 5H slzFݠl7Qx|V;kΞz 5ehr1GևQ_] "ʣ2lFT4A#l:b&߮U329JAp\2ѿ Lq줳)WR5D[3Gm"T4rL `~(ea*Bht1E=hP = C[ >̨`rsԲB&#(6ks=ˠ rኜ1 cmƏiז/ T:wWNNAc?K@e5[XJ{?tpK Ia__{K=%`?L7:"F tEEq n*]loQ']gYRe|-=72-Te hrZ5mtg1w/ ޤtK$kugDzT  {0`V.kФu Ͳ榈rA0J(kki+j4%!ӖA- Wӓе&2FSEO34ȠTg{\?CjO8M{Xkj )1XsAKVFYuC,ihkh 2h`VY>/È}` :Uۗ("8ybvf3S AS8\t$y& A7cĞJ8Q7`jSlHo~HV[>7_}:qXf ֛A`z4`T^ =H#} 遳g /!d+u?O?B7S E1}{0k I6i2vƔN Gb˜K0)_`玟B 8!}AxlS- g04QD vM;R9$Ӡ`ь6g=!)6*.9@)H: B/x;Pd]A3 1 $h%!.Qu|Z ګu 4b?C4^R+/ܸ &涤^N)* Df_!M q뤧q jELt$LVy"FY0HA9Ie>X8R">0j0BiRl܇ݮ#816P0!rCuDeSF3! /yR@r} 2z+z)a, >DPfk x crNr>p[!Q2gLl `՚ꮌ3yjT啛Qy*v郸>4{7`stAY<ɎPLأ3O_8b:F{N`P2O:y6*ƺB>HuZD ذEpj)XK/`Ѱ@M^}3F6Tc0L񏬹眃rlш$fgAflr"-h>Rt"V"5AkRV",n= *:l^㿻 =ޚYmA & u{-1K aa4+, Pc*#z23ԇf 1It!X'Q(e@LQ(1Fw!TzD9WjiȽ ,N|M z<ywIdUC)Q`N=t c khkT4n i[KX7I /:p|>ҨCai$xV2nww%O:sv4rOmc_B{hX,b\ { =y~+}ꁅtbi*:ub+{ ?]}MEO`=afRb g5Dkc ΐ,.--'հG^K}\_c& /|;վHg,K 읨^(w؞};Bz~:JkoK*{wϞsi8v:qfsˬv&F` `yq YBu%p @Z칟a#J\EYiBwj聎ՏL,I&M'0|8*F7$JmZ1^V%߃ӟy# O&cf ҀgW(0 8EP=M[CUn3$oM3s~3- 7֕Ӑ3fjѸ@Hd 32%>JopVNFcgV!OBpT0<{v!ؽBȈB^!d1e"x0l2dXL"0 =$2fReK}X( uh$f p z~0nWӃ$EbCЎƦJ*?K570C5phډz*n?o.4; J8g}pate,j 7/߹ vQ7Ʌ[p@1WL_rﾞpo̰[ Vjq H"|9[~)]yܳ/fs\|*hLm>"EB#Q6(Դ~qg-gFˤz<y`D;]om|(tK4'& ,y"6NaZ\@LW|GtשӠlӑT(>s\50'9&"LG1);X Mn;{g iӕ 2w㕏ca=ҝn8<[c?!*' >A 4syF(A#&1u,u'*;N+%͢6-ʳG`ϠP=+5CxZGMuߵfQ9 |i,rvi"?!wn*t0#Pla Bt?A;#Y#bp]tF  Х.7Kl^xFʶvVj 8h108nHҷm28 eHAP( 1 V"+ io TfYdr=Ж_ /Ӻ[?O/~`TдX_M,Fzv6/N V#ۧ2̿Bj)h.]h$*VdEUJk SF>U=Yk!ᅰZjxG$Gi,Gjm9 aQ  >sjVgs˰:<mwRHF=s,GkN;ꞅoȇh%'ȱ@ |At>)%903%_q` x674p#jͼ*Iȿq-Dc H̿Y3fAJD2g۠( U&ҬUpoьmC\|&'i*^5-6[eI̩"Z4WDI 4DGYED;ڽ8( B@\ LI lb)Aw-#z2s!QKԔ![4e԰d\`_[0?x6BVgT_JoDiQw#v"~Uzhtɧ<7#0嶵Eȭ-" VVǗs(o͍ln:ԘtaEd(^A\<.h?;c6wi@ͥ}9 Gm;{A|Gl7ŸCE:z_sMޅ \;P A`5$j7?r:ؙ&}t.nH`(`p+)G<)R")؞k9|#l^ NVdv(ȓs݇J|lfe0?k7UMH{&֍n,߶hVbu&81blv n.@ )͠Je`]A1d'1JA VƉs^ RžQHS"|ti6p5m4CGjhy[P#RhQԌJwM 5PY0޳b7||:=={ĒC8A  ߫d6}hoY!*B,ct-wta?>Dx֢Pqj rljc&:9,b^n?m/?gԸGq ot_|V{*C3|Ex쬭c;=ǩ㋩0ݸ=J7!(",.)>#`}SܙO+[Ȑ%zC!͋lPs1<38MTYPQH>ON=#:pڠedncUG$Z"͖| iŜJ5w֕OA !56(ǚts.cj э;k2D 5eæRd 6S%JkH|(~0deVڀ#㽯"Ws?z@Z`zlb"n]_!p <ϯ ӰY s*Pm+{ၙer" 'tݑsWRzڻ'wzK6܇&Ύ=:<;c4 EPij & ! B8?"IJp >qhhӦc7 X)l9}hu82Ԕ.nM[GY'AP4s2QTSU4ӥ2д,$"oz{ZTX_|gX a^o_A+Ro8:AQ>u81]! jM<F\Itb3jC 6氻xQ|\D!J*\:j& S~\ , ufp̳ qP0=ѢٽnsI$7{7GV0jR9.S(}|ZJڐD"cOf\#Б.o.er뱆EDjN1~F)řPu:8wp=˂9yN;WhSS'B{fx:ydZYAJp]GC*xg`9@2@@&w|!Jwy k/0+U]q -8Ezp廱>J>ZQOΦ3jdDRΜCkyq[mH]FTa|d\E x,tB)cE~FKnu"mۼIky|Dv)"H69Ie(93AE Jۤ~f*X+`a{xEpw;M<aׁCU*hK1vU&6:\P M)X gBGo-"3%_2\W1VɗDT9X$KE>z'!jcJѨ $!0E)l9=Zv⓱BRo15?_~a @FNܽxnGB lD# ;#61;UU:A >Jl3ZLB./ <@VNq2NC\HcEh4Is@xf!fa0˂;TXfq-l-卢=iܰь 9ƈP c;rSTRY C`jI T Bd_\_2@ M96c@0xtAJE=gЭ,,0RY@Ru׸5@S_`9~5ߎytr>+D@9S0#KQEA*<֎Š"RRDIq0I@ᜰulm{^Sqc̃˜k1*fZ1fjDevAm@>;{:#-H1Pܖ2ŠG*s@]Sce\r]K0Vm]Lf'P2ѲI7j&ǤҲx8!fXdYͨ1d@49f i"x,'A/fq1}vftDk4{BS "LF;mv[QD@H|Z`U xa֒atm,ϭ&mM),>o]R.rP_ޜ di: JUF̴_<'l^"N6 + p"gdtoK5&. ; e](h&""n΀s7y K VqcmMff­W.[Wrv5`$1 Kg t"L= lb]j ֚~q!a|SaFrsFʏ+tg|׳E`׵ -(dc A  .2Q}2V<0ҺNa݇\!AkeN$tu&1f 5b}_EÒXglhT ] Ț `Y.0{OH]n1jxH?أ!5nLD1{t9^/B!)fDM[LIh]"ZiR#E2PnlsuL40>H"59 htGju4F`{&fӑiɑK@یz7E6\ ceX1cf:uY!5=$~Yi)b:K-fAu֦ 307Nn>!C<A*8!ehVkAGL $jyl$M`r0\"Ɛ`ꘖX %ASj?XputأSଁqVm0Ҥ:ߴ΁`.ۆO)<+jn",,ցγi A]q9EibX65*s?+K?8Ib=.v^1OG5;]g0_osTe@IDATPxmQ=z5ӁN K  ŁDuwm2U2 и h|@#,,F:e 2vc҅1@U&njiY2nTЌm(}(OyyHˌ72P?@cu|;/~A*]&kC*9el/RC4Xmn ]g1y5k%oS7ĮbEa$#)$"h?pH;]^}AB=4M3 f@N g˲b`=jOi}v08VX*5>=0i|1g=8  8RkJ`-O!6H@Xx{a15**94[+)(!m% yFc%r1a.ZU `>@Æ0>?T?-[!2/d]h(8%Fyc"X.yez'P/Q# E pO%ґ5]彚jZ+m}fDC6yG,v҇#f9qip;i8Un0m-CS}RȹCr0q&tfM]; #@V'3QC(!dpuخ,FNL hp!q`DRYJ;ęiwӟ{Ϥe})>| ){|nsJ#x8&⧚No}aLC f@J >@NUhV9#Zj3V5/R?L \CX* `ెb BB`"5z; 5~owm^ktŚ~Xc)9c߳b!ӑ"1`g|8PDщ,c=ۻBL#qD# N `ı2gMwl7VG)K)5In=rt:~#dZ\I?y˿OZug:"eMŌ y]`r%/ub jQ6CF 3@Ю95F 8m]Ցơ]mi@ tKh+Tl p:}n^%,K\C/<چUZJט+> 9yDOE <#CmƆ\Иލ[Zwn/jL"9HhE8u>iX"IjǠIۓ;YKE ۚCpXh2r fȅfLe69ˆ,g8fi1&8A G-o6Ɩuva1SE={-}uԨrzQw@0Ր@F(&vIԪe%3[ےxC g!X}g$r Q SŸ64= ˢCAVvZUZ&se ~AZA Hf 6/7'ggӘu\Ot|w5R7LL3V 0Y#RypyxuHpЅko#OHWӓ{Qw[C ht(`:nRM0(*V:B?1CĔ `g| x6ڀA{v(@Lpb7Kd60J0c$>E DJL -ol ka 6.m`o^qv[~]AEP,XY,DFI3y|F,@%dHr4b0\Рm ďQb5tj3w s]{ٜxE+y9<`@ pM\d Ds^ ejiʺd bϭxsGCkv Z .c/8 u:ІW*1`W+mCgyޜ)B|[kAIaILBdLI)c_'6 C(PG X~K ŧc1s'~g2hzHkCWu~ޯ{c|q=pRY`F9>Cp az7?ji`Wٸҍ cK-^je33ӿ<,.گn J*ZfV̾s'}]e: ^xPNȂ8 N(E#jhI;4_/%Ȼ K-sVo y]Cwso3fv A.$H|h.C0HsLZfo`3uњ;Dm,& BiVa)Pm]8 vYY5oncp|TQs&kZٚqY܄fҗG,?fj=`Oyj Yl~5砕T8z:]ѪX`Tl>P}a0ڐ͋3*0g@i^n Z,12P̯Q#`Js]9uLC_X*9,Eu5DŽF5YB63US05H);F 6շpꠒ Ћ~G,٩B/2tIR:rx /PJ6ܽcrj`̜">unD htU3 GlS`kL4;E\i-kH( jkCӁq&V Sd݉ UؓW!XE#0F)]RP:q,Y4 _R Io0EmXsjOf?%u`H %\78/ጻ•/36LZa6a_нH7̲`F5㰯[A_o6^?,d^ T ,bgLgec+bCx,KlMnc U!pY8訅0R5ΧѺ}\3xR\IJӕ/Qπji.1M}͑R2$Bi? Lw3B@cm͜vp{eZϺzQ[ {#>3RX@&ف-,>.HJ[IyJ(r}>&ÛF A6в7`tCZd( 3}JTYqIю9Z'N7YߡueG~~)$fQa-4UteI©)Sa v;0ᖉ@ "uK 0.|WWO 9Nm׬al=4Ƶ8 g<,/"xncSPU(=[AŲ (LÕ?KKװr7^ +t]}#]bJqPateZ2X+ve:#!5\T^j!'aOy}>0,<Vث FEZ) fdZI<'мCyEbuo-TX0y]__`[ Ua_a+טx 3 &ըĊGƩPc#_)CZW%fF@Ie^NJ;o)@+~9|6@NZ @0uUW 〢.ǭE֓:1>~r"HKY%_k̉ JǘcP?t!{t4FIZ '0q?օ(D˱1}6uU_%F^끅`^YlCʮpT*Vucrc-yJcK1{(AFU|fj>!h(ƒ!"Z:|NBs/eOY(.d1r݀ DrF! hxt#N怃C=? hnRp#ca'h2i'`q2hHy^/[E5GBSa.ìLMQžmVpO^@"i2`+W.ƽ ~fڤq}5F~6AlS_ v- H 11,IġOEh-ȸhfn(9[uKG0׈%(`GIdM5MӔogw*MВ9< S;Eas=tqۭs,.8Fn%3aː 9jIzU$Sv^&Y1P&G`gHj MgE0V`3o~ v2J ;XSDJe3G* "Wi`` h~z0X?Yg>gV&!M!JXm]TA=MN}}W{7yц%(b߄';PZBrмkA%ԦqApF , 7"u㛩h=1jm@3pS|T\n,/IGБy,r~0Ռ}A&xŁK,7@Y ~Yn313ܫO4^ W'Em*1 V"AQOfESDY>4EyE)7kFBDp>*ŕI?lKy*Rg{^7ŤdPˡتWcF mMOTBy 8z4&HghRNd Ңl¿*2~yl]nV۸ʭ;hT"(ݠ]"L`&-"].:sn$&݄P7C {qdDoBY?׌"g+kgq1/ӝ;v)ƋL/~ymAQ̳B@\u"8,A؟тv_+;8}_ΰ<Mw)`\_Y{x6 ݛ@Њ[QMe%6grG 4RRG2H"*$R1C;@6VTȞH,,.A* lPyaɅAJ2~Y[=cXbfCo4Dͽ6N\7"њN`F gwhs(a6% Pdw͕nHĩ_hD2V( M&h[g22=&6p!;dCdNk!>s`s  km  "aR TmKX)w@8qZ֮:O!@3( b&]g,5K6c=0=҂h7aDoJK, Yk+cC 5kwp{\LLY#]dp*'Uu>#+0-Rwqe*@؇nab"˳j--=֥YkȀ\ɴ7 ֣ NdciZ-8Ƨ~zg(MW? Mwebu @%hG: B 2>9AzAs|zToμ{ctTcquW)ZdhQ灷f(-PZ0F(k2YрưnSi͌$w+Yd|a*Źv '; ~(:@|w@w%I)1)γi t[da-ئ,&WY74jB(%;P|RVFS }a#XzZbPӜuFbI18Çث`pޘ"hiPfӱ-hXWu9X ;Va8xd>> i2+16Q C9<؇d|GNLA&e!Z5* ki:\l,k$ MAD[A!/uMDa2U |IJ#P-k nD蝖v Ɏ曹%$Ն2®`1{L"M)Y:Ī[-%} 䝰$v, :ILњ(f׉L\3ʌƅt-O3 opyge9X%]9C[t9`òFN2X+%<<0x1u>=6Ӽŧ8rv g3yg- '/U -y(QϾZCu(:#Ga̤~2D!h*jrU9bWM^._/js?{G|hoex P>}#r㋳;|TF=' ^oӒVsѯG /0iKMo^wh}4)پy}y'\&c5y':u}Wzb!.GR1S?qrkfΊԈ6CAC%"JL("ᲅz旈pJ8;O N&wHXR4&tk{~/]6k؀Bxs$=M=/ ;8%D\z_ucBȃ`sUӉ@*4TsS&FdMNwP 0TVak֎TTմ"<,pH{<1,{I]Zh;4.`{z)tX{͜ӟ&YHߪL΃Y ?f_iZK%ݑs5|O3!-I2Vޛ\!XTyhkib%ϖ~xH({ ̅~i_h=s  8n37Q9]ﾀ5*f#1MO|Ir]*Oh1vf=-s=Pk2+}l:tO=,//|]03jL7Zߺ|N~\v+9%e`b9}C5@4=gZNy5۸pQ jAm]ҋ~%,_uَGXuHs WP`1s*dH#Ÿu?9osQ_nTQgڼcЌz c%ۥDB~@?V] l0M6r yܢWQ Hi2B{~OfQ#kzm_ &\).hEn& =@hC1:Q#7A\^0 &4cv0k̍\+_C <i_dޖbڦ g֤ `:%^+8"6iVبe+v|4a?dO>ڔl\7>l+ 8(Kؓ9Ss:h<ˈn5-r)´j\}dclNℒ5e3mcuNi7`yOG0şڗW?ˤP\}|Uc_y`/tjqNE} 8[3(O?ǜ:u٬wI%ć6H=6%$i-'I3+UL׀!$ո0*([ip*jE|TseJrI=qc:< nE-%R4mȒ@q˸kn_V:fBBUPBYk!d,u: ^:mv[< 5I"Ås@C # jQӆ 0O.Ta˪k M{KʮvuR/R2%ͦdzͱ$L{8P^>r֕9KSr8S3N̤gk "3곞*oH&@(NߟjN\2dH{)f#i>b` ;a,7~ы߱s@(}[ffBMLk)˴lpt=ˢVg$P8Fp&iW5 ?Dqb^j)75?^rNr;\ %}\X;=e_~-חǍL{[_˿*~Oto/)F,_|\˰_LkW_7Czɠg'O8f3&ĤWyۇ4``( Ѫ3RĦ) X9Ϙ=#Z_ )AaM>E0kO//Pf^=)&ۋxH֛"W|%Q/S滻|wFI&1yU9@,Yug>,!I??幏}|Z}0J,d[8GK 3[=' rVeV  ţ7WU <補29ƣhaw/_<в3_ML)t ocH]8׉D|jZq`}/bi8z@HmG^n] s5uܩTp/C9 Hpcs_Uv{Ҕ \)xB4D{`rB4#pwDr z(cgQ]^eG*dv\k- IZ.5WHvS(1 r8ƅKв?a-}aI17t;>FpSv O]{6d[*HUawr@I26eU?~C﫸xܩ+BD3$@N ti'EviW~LrX~S,o GcF{K;l5 ē.>k=w&z> Uj'b"XcgnDGH4bTb.b;l3)$}ܤ G S8~|UB7q-p!r} {MIFdӕLnbtQ4iaՇ4 ʇ+5OV/ v#UuFpjYIwLTƔK"^gȨ>/VQ=E~bװ= Ar>ࢮ/*ѯ JDۯZ7O^۹1U90,$*\jD$Ksyd^5^Ior=➴RV/fXD}NghNKeA△n^AQv ffh`#M+߿3ut..(o_J0\Ǘϖ瞖kP%#83(YXu;m_o}C?[X1{=HiOH;zhYuƟ4.Ypp@8-uR|r-&g^jGXiu &#'PVg &UT CzD R?q*GN!($I$KMC ٯ"L5W5-g $M7f f 9k~?ݚv+Ns;Mi ~Ԙqw͑L L5U_q|+>+A!$s4=%tuyE1Jb_z_e~?%^yky_2+缝ٖ^ N>W3-|Ϟ~by//C_)N/1F9I]ck-Szg-ٻ%w7]edC.}cm?KFu'VLӴM5# %Gaw3+IBbMנߢk:d^018T./ۥ䩺y?` @ VU G[CmI|jaV1K0Hҵ#E1R~-.Uw: eqe D\zqcӌZfykvv(fƭ[m޾ځT L}BwG'Nʿ:Fd6$FfZhW`vؾ`9ƚ!hlxHy8s?;RI~꾘V2=b@80rn {(kѽWHj:9ΛYV\[_C#ݗX iivӼ[oJi2ڑ}9qvz|.Y{8;-˭m>TGlfS^4巹 =3^lŏ~˵'Z~>\wr o``9\q2!/|h&n`RFe OQOUɦukmmC*&{}1`_;Ԫ?vͬB_8| ƺ ۤݶ9aN0g\sI 8h߁֏p.rņBA\&zϖC \%TAqrRYkH{xΨACI] GHU jc^aQ2``TJ|ӻ?)~}ˇ_:p^sté#Y89C߇'X[Rc\*ջ 4o.${C #y/O4a2a6 SujR#6@Y6x6WǩJ'ϪE3!ⵇ=T5Up8!CnrcS*#_ 9i)AKoٞln@igf%"z1R3pBdB*S&Rsv^CjaX:Sp/I$i}s{S:p  GԊ|Uib_Gr 3g}i1.dx3jM5BJ,<b){lbt9!q#9b$Z(/)4دɌBI/7bŔk簏^S,Y,Š'?3˵ˏ󶿽|?onCu@K40 D9Tt4gpL>;}+Ö-nsf1U,?n43ｿ|鏩^6U6&&wG/<58_7H/wwdo\Xv2"-c9u~;$ځNAjR;V8YHu&-}j}P '9 cLQ[8`9N$@eg߮(OhUS8s"Ou(wSsڥIVPc'>:xa0iڭ:yՈoyiJSM!, 74̱2rq)"R8ԩs,~};fQWiczdKm{"Ks:Eץc*]Om7`틾 eo![ P^v}y?|,c;P50pGAH{'SIK?g__x+T||&> e*A3M9'62Ǯ5o!QtpJjؑٳrQ}A ;k. ::eNn2] nq]j(sKҩClF?6+'qDG]YbϒU'NZZIiE*jHJC|X(a]d!rRgcxbY:]6_e$G"?án7HR_/9.ɇ]ѨOmw fP-RWQxxZe C+`F&? "¯P/f}ΤEV77F!{w(ss?q_~ȇp\Fo"}mL?-ƻ94xբ=ӣ7ל:ߘ^ chFfЁ"`S/zNp  c8& Ltۦ2O~ &N&|+;'X=3:_X^>˫?z}yf;.#]&"QGXs OCm\!1$?wb{n"\Y j*r Sղ5B7Y-fXsCbD長yI -@IE^͕ \F;vybQ^z(8y2't% "20J1 j9ZAZ=V(y4OJ17 I=QNCmPز{xE'CO`wMM7e71Ĵ eˮOJn뽈ZR85~ԙ>hPir1`c]`C# ;2 f3LKCpe4CvEkv 98%{֛fSPĵ;;+ !}u+Gb]yO #Ӝs~ @cne}ƴΩQw jbIޝv ([o#K-{~4̮F,\j/Z4GHw?N̝c_ם=XerE0Go_?ey+ےCn_71QFLγ1zԔ8RH"E7qc4uvA)(yr :3*\@>@-lSw Cy_Oqj_=wMeF'}ZkRD<ٛ4cI||z ,_8Wk)< 01/J/VW1MMK=FS@F+LZ1EyWMB 4I&|̪Gk_|څهe YVC\k-̄29wkukgSáuhmA~).buvsLJZwt`'"yf7'_n.w5S%=!!M'ȧm_>˟}/<;/ms~}ׯ4W# ^i)&huu{OVʞS6 _ RlxIhL~3[o,o+C0|"28j5CG!MF-Jsp@㸲 g̃gmplݗa\2FZcĞSC7hʈL%]blk13.w%" abw]]GS(|kkc/_Z՘nj&puduh0Q楟TԴ* &^|ZZULF&IIЎ^G K_͉ ߁31HF5?piNMgbVjbԭ8~E/_rUXQp^_8]HcziYV^|p* AmHSGտtkfX?ܬӶw%X]/#W;]ZBm '=myɯqx*0%g.ZN)tg3ǜ/[늓Tǻ$˴WJ]hmflʛ$ﺰՄ ߩPbХZYWrH6t]yIYe!n 2=Gq1&E98h?PwwC?[8zɔǟ-1*1P.4 mczVkXN3 u(2897?*o!SeTfJj{{IJ9䪃-nV!L-˭ӊla8b4#$|Չ>>ܙ6c>DR~<(ه˗ A6.V}~M|Xx9E2So0p  3QUݯp[ַ&E!NNjh$Řc,u5*gt.tvZuakёQ{3_ʹ->yYi_"'= qV壸Θ d.T nv-X:ۼ`7D .y!D G %50ڶH=xJ\Hj˝ۙAuvGCT҂t=P@i3qעz!fG92gRyC1HbI7rH9 v B>5*dr,ܓhpvɼ$g'J1>y%U in&bQV.y"?ּeio> #8pCfHHYմ:CHtEĖL` {N}+-7r{vM@T-Fy;9!Hd0'FUFϖXeZ}/;/oӐn/|6e> XghfYT5⵨Ɗ!ܲO(\kn{>͗ieXG#T:~p2aؘh@\/x@ٛNy 9Rv!djӴw A0%ODv~>\.Q RkԗH;rJ{CI=bbŷvT' _FIxuuN 4T{4$֑OIMm~1( bxwӈ8Ѐ 9eX~UrOR %MJ}QI aO8l3`8$W^sl݉p*Vo!i&9[w~NO>Iƶ{Ι#XGZqs}j~4_LLBKҁnMȝ8R0ayMN5JfſKЯ&R#jU>L9k ʳ~Ȧ =ZK($̆ϷJ9r4eM>J4U1wɹ B;iDzЙ62_0rvXTΝB*A@H XCw?h{'ĐxSxO~FY^c{A],CVktxn9D=e3$7 ̇Na凧"̒Rֲ)'Ig4hx{X:o:Ģq-t3ӊQ8;R= P!;Fy2K&`X_ӪC;"gua8MDa7>I\8V1Nm6~}WKٴ{~i9ݴYkΥTkW,}83ۘ!O9G{=.6ru=m_:\IĺJHW*1rY3_yi箇öܓ9gDx3¢:頾iۼC[9C~qҒ3E mԕ =g}9}@sۘT/hSIg}`0w$JkMlvH|Ĉ8I#ڤv Y |t >ĸ 2!gӾ\ě=2O;UHuD}sѓ=,VYz#H+kUIiKDpFޗZJ%oj*""=)i>}h^-Hߘ=C45pu'+VR>0kbPii^ڙGv՛B%j|w%<ш"K?甽O!&7j9]+iw31j0Zj9V#;79Nǝ̺sI>9:lB=>u26!zobMh`y qHVg+Wj' q䲝$mZzPSQ :[d衺ySGBuUm2zk9j+4xW>%\mMک0$:  uAY*L0xH <\w^} ԅ#cҵfC'%KmnaH3DTy1p&9PSa7ggH朢{Fpa][Q$tHeVfrgѺFcvZ< Acz`G@V=%TKnJEp% eiVO]~/b՝'d=OAP36ХB3*}*]y)ฉўʸmj+0̼ZAe,ȷ7sݸ#_S~ḏ2m0dg- A({[dž^P0u|yC>/~vyGf[7tT>:+ޟ&h:!xt 4B=ymy?Z~-/|"ZLֶÁL&}^ c7Ydsl7rsPwhq1 XNC~6L9[U1uLl,q>ς,ґ9Iˤ _JPtʡ!L51<:t4~8u12!h%`> 3?pEHyyz5ŠMӼo\KK۠`iu1ȌAiǭ= `*V"x0Cۻu)j- F8\p vIH81l{oWo& Yf eL qCUYǧFUCp\p'Rc~MZU&n%x> cwpI~2q'L^nvSOg[>SCwJ+XտWrώFu|zGo,_-w31?{z8כ !P1-Ho[㏫/4SM,> bCDʴ .좗 IR` 0@{Ixl6Uea-jRcMRd [WKޛ^W͛~8CkTZW2B5 /){7"A.du6Vcq߮ H4`cS*]5ٙ NnYkT7YUk;74@Tץ_U\WWV7;o)b;8w*O?{>Gδ~ygy1u3`_Zנv۽Wt(qNKp#kC+wo%љW[IF&ܿl;=kk?pC Xp=>ˎ K\3 Wİ)}٬XkПvr=ҧ.!MN <᝼ Y&`SλYC:9y#7۔i,WfJZ/o3ٳěFHMY$'R/=bOs`L —[>6y$ k~.ȍ CN#9Ӕ\e C)fSXՁ)DL߾[RўS=bXJ*0iO) ]S`U=)?ƹd5P{b.?g^LV37&ǙdIqM>=M$ϓ3W_}SeM> jTbL6ltёO-Vu9Or"z*{1~smwI|/;6X!T{W}G⏗2 Ny/T=9.ŵ+_ :-Od2{d wmrn/k`l0xުlOm6>|r^}o^6`x#srڴ-p'֬'I,b;?挓ى&{ahktBY)t1p%, 0TrHPE;_HI[WLk5$S S&juZiqL`f~X_: -?`rΉ8#Ԧ U,es CkTDߓd!>I3'TСZCs咺2ēW{0X|3vbY`Ao^HlYui)'c0i39$^),6n=r̨IumI"jq``cK&>/)ꐭ]>-Uϛ\ Ls !_}g1u{1t.!]1b`# H?yU5nJ0H?>gg=0vE|g^Xy`K%=|@~5owΟZ\oˋE}իSsi<زo%n5|m,'|c_3>8QTJ~ՙ,N7|+jUuױ6V.t ,]rCZaո] 6PuRnT`A]XU+Z!tF2!P~qUT!'^SMp9p@S#-hu}¤cьh<Pʪk1"ěF?gOBvK U|% " :̦ ƌV~ b01-8goa̳8m`S7x9vh~=egoF=~EBs$*.3T 97(B셭?w,B.ˏ(#\k̑5p>`DLia!1lCһ!Ѿ܀z;HG'k';+x޳%%F#׮, XSQF[gZ^|2(B8}qc/}ry])׾gtϗW)'OIC},1`_2gsyo.>uzE`vN7lKcFڡt9$T0$둶|@-T)AE kLȻaXoz>U'[#"0+Ztc952T$S\KI@Op]O㔙.IHaA`4f y١fWD lc0J<I치Pj%I$=Zv[oI}Ow7u0eazwh{ǘPժ'UؤjǐbN$S[=\RcYet(h=cBty)Gk$DKNgZ2JIRw죳pΏ*Z:t^u5+yg0kcp _ I(rxu; \ K𳏣^糙hg_lk0kӟfimý2\ǖ7%,/~'<NF3KOLJ/~{o>q|KGo}s?ysWu߾_[tfH-v/̌ΧZ34W_^>W?A8%H}^Z` >w)p|s;P;-4qg0cdiBfy^f 4 O4|'\ ib:ܮru -#š QV78X*֭a[l}3I ڧP̦hFjN~ # va#ʻGQ Y$v5:ŸvR0A"^s@ DL!"͍o.! `E0cDnw|P+\|WȁƏ9t.!I1U'2VI7`0F\`Y-Vınpۗ<-)F{2"tN j>s ~YONɻΠCsA =?miF|K",DyhsYI#άfcO^Iel7yGh4SKkRGِ=yFbRhR:pz9:v| .?= ʂoskٶْroy瞾{C^nbJѻ2NBc `kvQ̑ nT妺<=Rs E~#2βݒHg$Yji/qy4Eu4$i$yq @$A\~zz<$nTg07)' 4*G9X.-KM$K|Z < +xKZ| !HğVCQe =m0x5HN@\ݘs;R :Ó&fV N#R> y+Dֹ[g571{&u20ˆF.l\P,M!-.=>$L'-ZsDh퓗߄';9ńnҒ|C!s}L98&Z&ՙ.{G0L Wf^xg݇\42wk[/3 $$=t19_D+?ܧ]~ dy8 }UfOA\ >w04P3u6 P%ti5- ;DˇkŕzT떊4YʦZif. f>RYW]{Fq̹e@IDATWzUH/>_ LM;B dg'̈>}9քƱ2Sh:I"X` ŐD&Da^"8yǜ%GZLߔJ}`_l[ˍߧqXNO`S~qd9}߆Nɹ[e&bB2V@^`3t1.A\-7b춤Dvj|XV,i8A9c8kS$Y"\䮛ZO8Cz)$.Ef˓O>LE"iXps$_kB0v⻐#^|WNletXU@ W~<imՕi4U'S" tz@IX~z9FU\n\n; u1(ka/v^?5~ِ9)oYT㴏`YVd'ĊҚ+-#H{Hh0gm9GLSI Qx綾%VX8Ѿr~4nEֲI*71 |$nb$1d"n&=\XZQ5.@GNnt+E>[mp݃wC9ԆfI8E o^Iz$/|ij9 ,zSЄ}Zɯ6hCwݥf)jw-~}7^Әw&o6 yIkybx1F2Z,Bcr F}nl#ٜa5zWg_PO/G86P/@PSR1{yKAX)+M? I|w]kkm*Dߎ}Rh2DNNALOP}=*{6i#1:T8䫾ob8u JU,h`QF)|dZ{x`'~DF~e0}Q&{Y}_\-,"OKU4yζ^ (ΡA0Mqkpy^>@CU_W sD=k2c}YZ*=G-1AIo81NlsnQ/\|Q*F䂼ˣBig٩: @, R_H[QH*}ܲF:09U8AKKع]ب^g*_ஶGSߗ@Q%^DZ93L !]Dg7NLUM>*{$%O82XGUe" sD k ׶u`pRMqTv*%9yhH2C:&]݇󇀻OM/+FA;;Pi HѮ> w H?몳L-~'Z:\D+hH˘ $Yɞ yfl[;G\~;ᩘ\Rs&%A)ؿ'Q|+[:`နo2#3<^:= g3?_⦕>J;}.m ^U6cV5$D>|i@3,BN0]y$tvc t;=}&mގup/umO0V'o/yA[|C>7|cgY^@ͺǩJFQcag8Vsgj7I Kv:G(AڨJݧ7mC5jlvRZf_ShK8DÝH&l*عB pԕ{W+ܘ>Uޡ8B[97%U˝kQH:YbM5)"gX}s J!i#Ds%&Qe+/M,M题sڰR >~n7ro}?'ynCuY_Oriè6?I,ȖȵeRzn1#u6bxg({$[t&&pߥ{$0B:o$ c,^6&ENF}S+$b9K-aisǹK,)m1⿅!3:t(TW`*i9GUTD9Œ: 1C2G9UyDa[=f`^ aҺrF/b3Ru1#4&u؉S|k5]&sM#B iUbkAė2AX̡lrkQz$sfxanǞyjծc9?Ћu8\B@; $d-aRkogK?61~#믽<>.+snΥ=7_ݩ֥ $cG\|j :9-JuqIZHnm`q46'JTK]ߴng0:~GXtH*ބ#R @}%VLJIڅD85ɳ-6a8&_q-|Ld%= d̃;*?IY3gcW/:C)1$ӚJMAc H]Ýko>I$~nKR.6<4'a-[TmLwhVNzBCv]̅24}Q Tͥ9uQ\C &g䝊&e6Q(MiGa*xws* f8̕sCp&F83G\  ύZ\ 9}`ʑB DBuS(9J8,~0L-drl\0Wm+uxrן0t%hUsﾒlp兏?^<;1vy&^a?[gS9h=5Xh1wҺ¯j07ח?e+ >sm]>P.:?sVhnm xj އ3.ȠukPUc)XGu ~@ 0!VJv@紆=r힖 \Rkw9WvMOu+3N~lOG[gI?3<Ƣuu(m,xAI hdo8 NN븥x-&WsH- ;I:vrtkIRs)$N7Rʍ .szQ{u}4S`tA0TL7uo$=0݀-?psq!,ڵr0\R9=gӞ=cΏO;";o1_OwkvY{znLl^$^C I9( E,CD"HɑEH !$Eqlxl3ӳ}luj_wuNS{/}=]"<_vC`2GH1|Z=EZ!3D75^l732&i;6gT?> sHeD`F1GPDM!S% fVl91mE? ]ϔ˰k0\b4pxVjk=sS38{٘Wx!3$wvSK9wVc#)%y$Ľ麷/2C?!:nwVɎ[*\ _ז\jI>jڕ'O\5DIl$P&R|r5iXGw9c>c5FU9BpSI/@9WܔFE?'cSB\a8&з$$WSjKh}>E=HIt H|^z3^;{MgQEVs+MŞy1vQtUZ&/jI!"Gi^^/ #wjSGn a38h%d%sm"Pc#)بEK̎!fJ;}rИpn>߁HOO1^Rsi3hi7uPZGb&QLofmi @r81|֘,DLg1bZ5Yh~ Y yҜҰn tC*s_ j4'7-ou{_<-{./tw { _6i=<8Dx[:'^Z>2+翼oʉ!=D%\:(6zwIO.շ"pWSVנzHʭd-;oqVmyb1_!u`E 07NLfŕBy >Nzy}Sq.]K(E@qD߫u_.a԰HhG*c US4fNB Ϟw#p'A{&~E}{FqD/ FU4zǡ[3QЃDL t) 'Mj)筧ux\Mf: ?!֮BasĜuKʄˇ󷚘b ViM6pcb> ڋ.]~?}y__~~ח_.ｖ IJWgЍNohLr.yiJqKbⵖҔBC X1cG`O<N[ZSu9b y${C_kE|OStr95ӗAo6IZ4> O*ݐ=31 ki$<[1r5 bH!OVhr;Y 1ږ%|l#9xEӝ:K߹E:]8pDkiȭKz`e>*..ߗȵZ7{wo_]\>g>˝峟+_^n\=bO+7rE?/./ůxLs3]tnWj+ RU4 ԩ9/$e:L 1ɌDS&K!":sd|֪6=3f-bռtEɕXO{I=okV)͙ټ }^9ZW}fgyG؞zk^f"5^} t3R=k8>1̌ ~9-c_2fk#r0 š_kw`앴Ρ ^%I.sDҐ3E*oeuvfT fE*0=!x~y6"aݭ#rk)>n.C0Żq-_wkJ~+ц=3Kw?_g˗}}@ ֹA$>yKa.CseEX88(9 Q\9Jɖ;BM5oʥ osR!\b]I@$; թݏXF^e.9)nHAmI-RL:Y*T/\}vΙ%2pGqk 3U6%s5B>7 'ۀcF!,*bWgԤIȿB|9%rdm)&f4J)cF0`$O[W, aAv"\dH+57p7u/ YhGE -'4qg)g;O">O#Иz:Kتz8I?jI1h!4߽1!z)SoHda'J3-~Y(u_g- h1-zҖϚפ3-@g<@ݤjc+~1TgܙvML#Nvpt#֮7|c:݉y 3y'D,Ŏ5=r*"<x=f65iKX:\ڬ3/O=~>c^^9#<>xiu#w >ӊo=ݯkXuU=A?; tw[Y~'~zYS[3F2`v;)SÂS!t,dvb.מ8<]8t!hjw޿ǡR~3U/1*0tgWaF#8aC R5Gq:j29σ9N9+N'Rc(jэI *EJI}YO? (.@$EΧFĨ!aw4NcT595g)  A0ynK gM18,]~daBn-izlu36\tf'1GfeJf5D5VkȌj#}-rDOD]FAD 9MD%YWL2Եa"O1A0%[6\5] seǵk/Y Q$k#șaĻ~Y8Gru_83f>prܕԽ9 װ{Zμuk&ߥeGCc9U=yk#ğ?;v؃p>Xs #B{C5YH_O3 VT*\61ٯcpcmP`F إT#Ikhɡ'j:ذT_ϽNջu{?P(됏?}\xi9)۹)wY7y92M<Ґf=3"4z &ǎ BN(:EĚB$qL9XC4BBBPw%I##RU{&fobU@CU@MgښnL1*n&+Tf&Aek| Udꃑ$%V:Zy͗P)G1cxsU{OR^lO%bp5d1gLQfͼ#恿>O44 Xf`2XC"6{guil >o)5 [^7S KEbjy zH  {v2{ ai9dkg`9um /3KKBL2q'uF_L &f9v&ɽje lŽ콛46*޼<~j]ˇ6ZKh)ۑ,Л呧Ob7SG\6;+<ĸ FY+_nh,"˕4.vrmr叼2ZI΃8)ܫ C$JrKLK=OK ƗխU 1%e:Nr:fw/O.vwyrGҿ13#"09Nqk3"lO҃B El1=E 3lfDL kymNk=vMM⭦6/d;TqQ!]IԜV!ja:<^:eH)KouԻ}@j{ϥW$広 K G I ٩gRce D 8lB3T_"dΰO^L$#5`0OEapA̽+qzentl ≈*∡!2s'Ԝ&7K|q+7-hRw}̿U#3Vb;EǾj.ͺ8~0N,IXH1T6:3?>V bv0T*Ċ8+3w7KC<3PDJ6Y|uH\RJ*Bh@wE{cvֶ\ w<Q*oL5̠W[- crnjk<_Z"T=D5>|OIRuVw}gvϟ1 WF]p&<ⴐZT}V~ oɤʷL `JaIʗ$ qc&Zwږj?> @I@YG+cm>~1L~pgY7 劳avrUJyZřC FW: id}TwÖ A9U%BF%rNjM托3p*P#({T*)Y>–t Isv ٛ!3 %h. .' kIDEKή`A4VukZ];Ne3N4P'QbIQB#n[O[ +>Qzȗ497{glmۅ9&˯- ϩSԯ~[#@kT$ r0Ť+]E> OIF.[[V3_Hmk p1$dFX~ Gp8S.yVkz{NBZ+2"L~ _gC 륪#U|qNBE5^zLژ4!]{ LS YG81t*ގc'@lai+dQ+;g oơ49Fc/ 5i."f(F =Dg` [kݍYiщ*!{ͼ|59vMv]G14u7@&7|ԩd91{s}einw?;Jj;>O<uI^WI8xxs qn <<^ְg?:k}[DM|W/S㰻]_U w:3)9hLj~ j-voIzN)Qլ侵芳NGq~fUP[o cF\ַ o"aj \X3׫5J)^"(0D \("׀C)3h3[lk* RHlY:9ѝΉY*_b*i蒴&ed_#1Hڽh ˾reWS%baf;_~~$_ `@H!?%%|=TMLܘ9믜v) yn?-^ˏ???&eVMkԛ!z趞 Ч/=pNxMGOby֯WQvalD̩c,7~#ƅN-.6bOa\_‘{|zx+.Sð64(TI3qD<3HHk g R/ ŀ'PB;Yie (YutBS+y t{$=Zgy!{jx㸠yTEB;Q\3IKdE!Z 3!!|'@cfN:f<+33Xx؂o0m% tD33F5 q"pU3_.:h* ^u[^ec(10ZU9 ~BTGc;R, u͞ N.i8Z995"LXvgJL7ڤ+q5sa%.&Q<0xѶMMN!Ƕ̆;n3巒$UJ&~J@*I1j7P :Ճ='if[CQIDWœ kXl*wp{9Z,*(Yeb.y3T"biYBX:`G~r;>b< K).ZAAs glBbYKzE>=>LS]H E""π{ 7PL8hUuW2!1v~bפ>nhSޟf=l/Jsx9.D١!Vٽ>ۍH\\ҙ!d1AgܸA~-:.քyR[WzPGSoL3{"ȝWxvm>ip!{Dbժ{iuqӔ)'/xOwÃ{w_[ x[a}t K0$>,ż`i>G?| w8r*^&ƫoy& 9E16XU~B/UJ̻5ڏU_C$UqHY4~#'9f%v˱kOe:l6XE /sJr٠ԙu $=޽xvjE޻<əPx"Ļ$Yw|Ϸ-|_Zr$(3491kr0` Hn?+u5F ]t ˿e MF`* H[ԏn3G('b F$Um0^RmP2!r<~'vj:|z6$CC&!4 AoXӔ!}l)wjGQ[7M(6FpW*eN|%.enl[d JwN HtMbl" M^㞵*NBJ$|`d"5_H@hص5!;<LV^#a,[o)$˘}ĸWjj->>6٩?ɚ={DPƗ`i\:K\_{jLO2f7+aN#6=3>نFGcVE79+M}F")].uroKG+|\CȆMw^=kr~O keg7% omDQV+j']}|C?w/on3984cѫ=mMi{y!v$-9w4z盾c6Bx|&kf] #W ;|^…t)Yyop^./JpJg?v.Ɍ L|t/>痐XR\bK*b{:yhR@qW/#ʲ; 9Z1-!=HT.Ӻ:<^#h ԲȵsSs!1՞Rֵ,Yzmtz?OZ0Ch ~GR,@RebYIR>Gm؏)!Ӑ>GIíTC@!^cpweMKo|P'Z\bJcg]TcvrEi+Q !/GU)1꣙w;L(xdpCq+0a:w;a>:[aౖ/n2E0bƸ( y|@{\lGc4tgp啗yy~𻉖8ynW4η"XyN+Cp06ybˆ/9 بzjDI_!!HyL"OD!SVƺ&2'ߙqcxD1OpG0>z"˫^Yo!֘|ٲa< mؽ{ )S,3u}:"{>k\f@IpE18b u_h*L+B d<[17ZHi2>O~S̼zo4ʝH 469u't. a\]8ۊ`!*FM84uHe:`~>`d}Le^ <)Ug`4n7_61d4<5㬣hcOXyZi䈮0Mwn. +g? t~ݦ,u>'rRBdx/y}7@q,0:<"o$sg/Cw1I0-@Rz* Av#]B@/u?| RlrdN8 `CW¼ě2wC"pg_ h!FWkvjMi=+r+晐N_RCD,9R$~Lr+tej<7 AJYRG 7Hrb~O\l`8'4f_e!U,/\Mc##kiG_s݆P` C0r#veYQ|I I 3))8 fє/pN =>\ڝǼo׃W$4+~VڳuԫĀ!tׄ=xުOHAwjXb!r*oš&HbҾ"O~1.лwވK-Nr1ap3ȼEKB=ē(m]y@q@u;I})'PHb812 d3fXiَ>=FP9zcVB z;(dX4>j skJk7l1g)rʈ=XgfTgp^W5(vXt^o~Er|* ^g5@vtZK/~8_滤IIG:P~\COW;Q z-%&й_{4gxiE'" nj+mǹ,&W(9~zIODTR%5c)'b5<~p5繶JGܵ'ogDӸڈRRC#L%9vNp6HU)/b8Gyi! OhYo*G{v qdhcL.<ǘ}|Y &WBPps_)ĸyӴvXɿ,O:@ ByVk=j`YM6{{˘e'H 9cu[r0&%&TKLBtC!QYGRXlN(L ^qэ=`Yu-';W-\{ 3{ %euE=*#_a[ji:-Gλ]Rm;T`S,D=3ԃr]WYlB˶>i=F'~cpO#=w$qM?`Dx hU{uYV9*h T1:LD^Nآ^S"%(F>1bc RR=>ѶJis&}szD(9IBijƆ=gG';cO羖9TYh'bu1!&w~&'5H*1f@2^iv ۊ3.%]Վ,p3b[zRvmE>N|l2c>KWRÁ7mΔ*#ˣUu!;c"v1m&ʔt[Dkզ'b?ܜ`J%Nmk*MBH2<鵘=8piDTi7}+LN+f_ نg1̼KA>0w 暘aTο~q|^ \dsL,ƟDǸb~}~['8+8@>=ӓAr#XșXj9ʲɡ?VZ]'6J΃. )кS'Ɔ,h&.zNo06bQ*H.8P&9R5+( eKĉy0'U~mHMwH>-0r %`Lw$"ѥqHєA"60,ȋ^NLK3)VzۺkH2z``tgjHpjITBe%B.`NoclӤؘ@e~e'3S^kix;֖ /k,ʾmU1aLU3 `cΪ%`r7n~JN뉨}`TB[mҰb"IV:S˞0w!Bs8: 0bǤ<]\B̿@djPu5gFxu\<*7R5F_WIcY4y͟Ip2 3J c bIO?i@r=$K2 ^rV|A[XmzCL+hl;k ڸc&0p9SKnKSz }-ɔZ[a~>b1DkċJ@يyq^cV6Y(үM/'/֓[q>y::@GIɒ`rwy1gD* >"F3.XGu0(kF.|ȝ￡yR[QF1( WEw<3W@]ZgqCqv-6Pnٻ*k I+Q8=ZWx2ϖ0QݭJ[{|tG6vMJgAQ}?6Bp>kMxډsB8]|@&7gQNʐ$*2/kArC0u"eeyxw D00)$܆T$o}yRecF(fCˎVxՖг*-VsI>m1=4Xl (dh]I+^s2Bs|o`',Nb>q p "4^N8܏^~DԻpcϷ]_8Te!?]30JZ+<֜U-ފHRA'dO[@>OQ09UxQMpX"<аHWm|h*J5eoshG8^阇28![T"isssKS~ӹֆRz`Z\rХlX㇥42Q^(F580VMVALtҜ{WA%) 9 :MÈO75֒"?^N7\;NLFCq؁X܁K0mŠp8J̸!0={^èO/PۣDr2Y 1H ?u9s Wڃ##mc!& 8ELϖe6"<捁W9gνgiS[K%d7qfK5 uɓvF 9o0b2Z#"7쭍|5bf[ V طLH"xc$qӼJ6xBG 罽%u$ vWIa}| M3M]P)q=ϱ\>ôU{(l]4{|5-orzk'PdBl'-ZTz{N궠<ӇB 9_Ȅg2].OܾApEn"I 'ɓ<1GZpG: Dp`nSՆk>{xܚ~9qZ9xRY ,䛢B|6$ |;\bf9kL`dogo<}U4jj ;^K~lLk>ҍOaiD9m/⼳-12P]%,AhsưcvWh cѾ# ƛ0hZ;Lb5TbLig_שc,ͬh@8sм,M0Y9¿J0^9*|w"bVTg7lyue_Ŭ#:zͷɁaԓXI۝h#%XҥO}ϳ7Dj (4㨞Tn=?’qZ>wj-%i LW#~krn:6ҺVhQЅ&׌!hm%t$ 9Ak23 us'G1n9V{E$GL̥@dH!*V( X_|U G>̿}gP \ci+.aȑ]@z9u3>&a(cחZ6pS`ScEX{tFe9,?"c\(u~e$Tر˃-\:oNѱ.UF qwYw`æ.*>g D޶df5tas -){&UkCs]=Bר={1= {Щ* SX\A[ˑ9 ğʞwҫ˗sMvMAzwo`Ux"jEup$P蔖B`bWA99_-4+%c[54vyˤ[OLבP)xᜍXs<fZ[gNJ{,4{ &K{1i`\07хEy>7_ 5ݩ=Υg˧֪&{Wa m W}.]}US° p(c3<Y1:)}ݻhF\oGۈ֗>Z-.3^u>_~臾s_ v9K2^H;pS̽/@>7U\ 0{@qxK^r.HBIkt2?&s^d>d.9cFb<6H --S]l73Sv6'{k]_xEjbC6q˳~Ӏ_QkOYE?$ ^D˼׾b{sy _^,E*`0~;oÁ'H/,'M4]܊IENDB`ic09aPNG  IHDRx$iCCPICC Profile8UoT>oR? XGůUS[IJ*$:7鶪O{7@Hkk?<kktq݋m6nƶد-mR;`zv x#=\% oYRڱ#&?>ҹЪn_;j;$}*}+(}'}/LtY"$].9｟%{_a݊]hk5'SN{<_ t jM{-4%TńtY۟R6#v\喊x:'HO3^&0::m,L%3:qVE t]~Iv6Wٯ) |ʸ2]G4(6w‹$"AEv m[D;Vh[}چN|3HS:KtxU'D;77;_"e?Yqxl+ pHYs  @IDATxD,Ir^=2#NB $A!zAog_"(pVrs_"S|QEʌp7=XR:ҭRURur<JK彪)aW^94Ц*C)4m~rnJ+^zñy@ceR=W~(G>W}ztѮ[zq)= v^)_a4zC]9@߁1`K8=׶[<4]mൢM1 .5cr} w]K/+MAYwx8M=mA\96Yn]ex~^;]M>w@B0XvͱH&x!<;Zv` FXΔB+vnٰ{)Ԡ OFò^3NW1~- 0nVr8P޽GrQ>;k=o<<>˓>| yqr-/NʖU|)SB 2(kXX}\(. âLOЬeWQ~){qW ǃ`s>)P=CoSu:UG>W7ȕwc {e;n&ow;\w+h/l#`螽!M ^=m9S=LwK3쑡#ͶYƳ4^8eNu:j}yOatCWc/ޔtXCdx|\eG>f Xzwz[V]ض@U̱?g:]sr=V}t.l ; n>g,I͘J r J+w:<E{ :e_ 4[7j]?)>=O3zv<@;8KYmEʻڣ~7o9ך_h?__U|˯~U]VNB-64FS2V._˫Wߖ?,??2e]е#W~>2DZɣL+/bUk3gSy09UZCj4`%+;eCmc3q `-T j?L"ةh*HxEH)abR2[`9a'֣Om@GsG"Nc9;SK$"K 9tab~g@t`D !< AYUg:>T Л8:btKcet|:n5B~5R0tv=@@Q8DuɾYapEApMG` SmH(_Yf8DycY'TFaaCU>g9Q݉b) ZH[6e %<r+?r+# lY5e'rr:elKّ7_).?hz:"/kWc6vcyv}C#NeW*htQq2Ml)U8r]p[xXWҁG&ͧkpAc6t|H͖G"gN]5R>Q?pET4nWkC8BacT~:G:C]Gd.sw8k!=@K#>;XGjTe`rtȅM48;"C~_AWe؛T:a)o{F R5NzYnT/k4AB'ucC5nbdPiBu*`WӪCa AͳPH}oGg:ӟ^@w6@W'ęy**.@<Гqpʷ@?0_m"yExxOPخuTpzkQfv.ezap> xM/˫_Wߔߗei\ѷ\ٍz8 rG-;iۅw1!WC@)p N`ih #B,l`ժZ= `0(V\1ҊQP@28j 5ǾAa7ʞ(:zG Jۇ9W5X(jzB0^TI,|zangn`&\uoE"N`9A.[\41WeHj @N; BAT{1? x%%H*&#M aBp ]Tn}< 47-޵Qr>/5Ѩ +p𤣥(G" zE@wD !v8qNap^h dV*lxv ό&=4QC>MbGKYe8Ř<`D5771Fcf SN2V[=RQ^LK5؋MwD8=x&+cׅux2!VM'3 |(dpcy>d"ߩ{gM9r}//厶Cx-/^iϟ?%z0l :Ͽ( cc8[3mOm0J_Q*RZ43*"4UEShLht0[#b#WE~?c) 6r"+z@wmH{b gje~I2 U:͘q 8h/YQVujV}`;hK8_C6 M=ۃ_PyVghc [<#8Pϱg၌O~՟ RlЦ]cg\SUPF&nYF}Ƒqh6Iʬ$Oq:sM98:"Fgl{LEw{s3 oEE3Y7xgb;CD!?]L/ʛo~I_=  eVoLO@D@+*t\F=ݢ DC0R={' ӫxN]/JlŎ9YD0U)i h\n7JaL2hM{+Ƥg2iXMQ\!lPG2`"RABaOfVH1PXd4b@$ +i!#b\iap"R94I'ŦBы.V7e0Ar)T@T]LexZ:N2Q6qIk!|ԡ zxc (4 ?3JWk: ,],0fzKcRI ;`uTha}18q8t55@A7ɔz6K-`]8*/6Gv RgF8 kS!`ޯ^ lM,41<[gNyRpjTh2Yp9N%t;\T(OsPGc84QeޢeeDCa"'ad9 p4\hVR j@]YAWK-UGXgYtbU~Jx`T|38q22Ag>kU!Kzs 'Kf8k2m:{S1N@H~Aƥ;eJԀ]5ӣ><np,a|iTK'I6;Su]C?np̕o%]*=f$]*dtt{l;wk'C#'eFH9め>؎v,6mӜv8f7xrɩ<"|*2ƻG j#՝ ۡ[QHHp!ڨKvqtvܽ*o^.˯#AkzNTJh(2wheVnIGLQ~V%cL':&ז50`Cjz,udZG$QAЃk x0)^D1'L;̥T pmG4O]н8A$ק3 2" m/!84qC;"PA") `hJW;w؋Tss3Ľ"A:MG ;=IGWixƒ0]u'#nS=ƥ 3/ Ę0ĠAGd{'c0qVP$8Y^$9bEd&`v]䉧q㐸$"!=:~w@_, mD0uT/hEcكl;etBp2_!QQ.D\ Q\LlBl<#+u1{Pon1 |>q)F5^=5 2!߁ϓ9󀈰|78H-sб.𐐬5DG-küZ\6凟>Ri,q.POU.P5 :"5Ore\/H/ezXJ k{2J-(IJ%tUP+s~ p.8%i(Gx]qeǥ_gv>0twe`&&˄"(Jg%4ɵrX GxLkMe$ѡ7']%FSptCeSwti YQ8~}k_}!V.3ުsCz}O6OrsƄyz#h ck\uR#/!BYaNՅ" |^Ηqu]>ҹQ#,U'Z5mI/J~.-i>β`i`LGt<{@2 !WYdrQjf:8:+bS6Ht[]&t!A|q|0/w3^}5kW7t+:N/Ykz1`|;cFI~C4*cjjrά)zF8" zEF(2`1 r$=de~# |ă1DgG/7 ړ׋)P3amHرM0⤈ 4mJaЯԨ 1bANDeK#xm*όVyٕ0DIA2.BcTi3cgt!`&ߎ9gIxSy;R_W5vQ)͂ OH-l2(05@ne-JCFgzWx Cc:f ѧީBC%=jҾ"%N̈=X(4p4knbPB3 X^6'5AX;b\WT#/R#肀F x0(~P8hk+8W|+_$R˚bGtdyA#a jtZO4`A|;[ihu@c$1Eޯ˫ ɮg3pՍ2Ogq`dߐBӤgΌؖBTѪh#8#:B=Ai|%7YN\amQ8Ѫ:+uqQ$쌜Z xɺ$3٥Y`5%._NOyO_c>`V D2M]&nMti>gA>qVi8RNlh}?p Lf ^ahN{2Lx.c}|Hz񌎥s-:_L)_QTZhLDJvEo 8Q;-ps@`:!N8:e~JuىFGh8 w_8* l 4 mA:"a8$ŨdҡCC+TWZc`*xvZ7֘V:O"ٌAz?<ϲh}Kֶ.ߔ՟My2%ԍdѺ wRg&[K̔C|K2!?qz֞TGnZ !k<^Ħ09f090o5({#<@DA`Q$Z'b2 ӿ 1H[RKJϿu@2y' e'#(&/Dk x)[8` &Ѐx%T=8o`6ŭḣKM{ 4YVayhC~%V`"pF,x]^aң}cTLiRWR+ X)(3X/sV+/Iaxj!%8a)CcmdZlȌŇ0ak>?:m*;*| Q%x}H=vM9/2KBkhK*u__2j#땋" Jny$f]jaG|:"ۖo^G ڒT#d, vC*$Lv lճD N21f0Aٿ9h/fDƁvs>KpȳV=@'MĢtt ͝D39^e8 ǚ3J-0HHSpi"5l<sgi&10c#+ ӣAd974}I/ B6!S͂eߖïJ%‹r۲tF ,#5"J6_(C"]5->Ғ:–5{ѸAE>bxj|VHU:0Eʘzg21ƒ1hdAx,]v}f.B߱T DBN5o/a#ǝՓb `|%i1:;WKD?#AIi$-P8zkFg ;qp)\3W.o4adJK&I,f1+Ʊq""xiPo>@tXD*MT:Kp*w퓢xT xq=:JHff͢׆b;3 LVQ],gJ(Eʠr 嫐>IU>W)t<(CSDlj33Pi !$Ch}BjO+4+tqɵ)k3JhʨrD "7D0nd{kIGapӻ b۠W2.W2ṵCG?%4DNOěQEOֈQ˒pݲa3em  pR.O ՌkF8H IH*AYXs}]@hqGK_mVe ]1B.BDk#m+ )CdK".(稜G^ŇmMQ 8׷OEN=|^WD˻܎5Su :\hh2;.`͕2NB/Q*Kf$Iמ781k1\lD!X+a:97u8Ѐa/uG* Tka543i4EM%@dেD%H+]BbqհlC= L0`-c* CEaJƚD]ZK(BY8X˼ud*& %<}ѯ5WkP"m fw2b)s C0H d{S6P[`i5 l3P|@f$:zTpda=m޳e&5 U Hn\cr_#;O?eC@piAd<#`.q`tlEEhx](mۄtrz>0jqC3l{* ($(# C޴2} 2 2%co7: 2@i2,h'9F'>ϛ%ghҚYncc`I榃"IB`cv c0RJyt<Vܗݢ92C= |RT/,ЁO>hs 7fޓ!8N# aled*<.C6qU[ f[LLXwaI/}>s)k?Q7c]4HW^DZP>1DCL~0$`n( /) q3<,3`=!+jqdJ`@>2LȂ#'Rf*jS*[y04ulxroA o['*d"J;j QpHL܍ҝH䢆aLVS9&l d]GOk4^=qGW0͝@3ۣm)jqY0!fhGgDg# ]g3fp_,u?>āCOZhhKdz3 4fU4h[xZtkw̴ 3\qgsQr RE 88Z{Ϡ،q1f̵.tӑi1^B4( "[Ra+F3J0EP!S<J>@tGP؛moa˔^{q3ģޫۼ>aLP|H_B`_OhѳJbR ׀D&(́n&m WQ[#Tи}@HJv+e dNSY%'sU&f&VA+ ]3# Ff#Ly3J=3+mx2vr`NH,4(Gt}I12Y4lD!Pm>^#v<Gvҳ++l _fyyI[[R:"14 0l `%ۮ:W_<#;zG.p䒈{O=)#!؎eۏ7Y*xYQo2&g5C*8wd 9Hez3Ά{ATC ƪ8c#uc8'.p.u:(w.Yp5q`73WpƝFGA)p452MmLYUJ[J 2% Աp\yǣw4F4ꠤ bnFYSHc &"bvkU&1r0 ۱jlVƱ#GPq+;3"\YkHNjWp+ltz !̓bD`6deIQ^WL O5kpI7o:;tFId1F,sgAd,+ѽ[&q\ddo氂>P> .&4.[q> фl_ơLijzzYKCEHW3 ?>J׽Ɋc;fHVCedG1rkCԻp>@2̋PT* +4Wd:_UoYx]̇cdAC34A<<^#s*V(;23a>: ̵sa0"Ƕ/)p%VeFÇ욈{~&K, .UxcܙVys ̴>Φ'J2緯.X(_yI>d=NL؁0H$X]*Ɨ_Sah dC zn50\RO1'8&=0SaӔZ~RpcL Ux}Qv(9F)c:gQș2H_qxkTxJi4cy"ѵ $g>')cO!/|yuq,tV݋1OW8v=חN=EVY޺p69 ~yx s˸f >D2A9yyE''{OnXϸV\d+GNO YHl? dJMTg>K85A$-@=':E:t׶HdTLh*8Ss#;pzr ԞHHn'J&'%'1e)D>? Kp≯`0 ]gxnbSxִ5\ԺvKW}W A0Ca'% 2'&A{+9L %qUF ~ڏM <̬0³ ё-`3"uޕ)POq1].{őX؍x$bqف[RԥtW!_Yp'A9Izdid[0hUq¡ThvDCiI}ݠjo͂>p0f$QItG?؏QD+˦,Q!ch1s79jsgu'%E-Awoge,.e2]ӡ0l^vH/bv7Lc~AFYdxVCH/Dj79B3rUDZ5j|N~щѽ/78uk yyRX,4h 2Es1RoӸ@%,ۇLj7}'Qi 2FQj̍gj F4pȜ\s>c@<+ùq#L2[ʡO&Խ|ѿeÕ)2_q2OM/Kw] ťͰ]>uu;Wdp 5#w%(M9^|E|!̕n6edeŜYrmsY˃8㊇(8u0 dF}ֳS2S)39 o$$8%Sg1=Φt' :7v2kNLINAs19J= SBH+ Q~Ѣ\w $MOlvc#SD  =aA ~ftE;axMej psqKȮh¸"dj؁j ѝy)<nA*eMa*w[|6ש0ɟ6Z؁uqEېoshN6'=(ӽP8kK FH[l\ӗ)Ep{]pf*vلB8k "%.8b>M\"8}uf rd_2SzV})o߾ȒA#+%_~񲜍ND;CJo|;Bt(]g_ p,83|:{"M9(5FA_b!pļ?}d)@z}= l;(ܚ\ʂ'Q 4f{\(EOyӒ#}U7eIzp w],2^X8E 9㙊AᏴ!Àp&)Jt<[9Ք:=ރAInÍb3| i` 'TtI|+萀\FfH@GN>oZ~- ?ni0w` u%kH1/]v6hNPɷMwl9d y+:_@m<ԲT-|Śp8kʴ6Od.BfsQu*ͽ1'EznN ۔}7AAZ-Z%̳VRϯY\N<3s>SWѯsiј޿ɦPfmvHFg`,1W B5=t 5 ]cxDYplqRo d|Y{ՌGI(D_ܑqu]ڴQwe RVS1*$ȠM'>.ɲ0p/N\a:?! j,=ehđN>#x8--W}\ll6Qo36oOeQNȹ<ϯ\CN{=9kAQwm _p{Δ?pb]ERRd0<^u`8ݘxHhG;~3i~VKkL҅vƳ1e.ϩXiC_<ìP\zQ)FƊ2ikӡ3r Wpb}hh'?h:?{?~/w5]r}x0.7:8%GdX#,@IDATdEYA.YQ{q.hG Y{Qt \Nu7HK$:>mfDgGPbP|mA"ʈb V~'W)`̐{9[{)c@D& elyTB`m+@"VbúAGi`#kuPCsR)F:xGy5V͏S6T?_s=#k![=/bk]0N;S”;xTwdn+Jw{x=NHS'= ]@ġ+#;)' 9[6^goQV(J ĽKy<ǡKXaW[t) !' c0kUT*5iU&}iCY"B A=4-KU> zs t$oV=Qݥ!T ;e hׁ֝v֡hݢFmK÷qXƒ։4uD\LÛI`Pӏj^剎 Lxrs2>W֊ؐ-64K=EaDq :O#gs\3<>`J'C0AѣS2*cJ0F嚝ɋj@=lwuX]Fqdl-fPmp@g%4%~tZݹ+} 8M`>Ʈ0_z)P+=o~WN8ej"Y?U3h%Q $x`F"XÔ"%v[tJ/\j_b Q~TE q"653C\>kihO4h+ [6!d0=oџMQrFPH<Oȭ5Fqh`)/{d G&Y~{`O1Xe( >>jA-7¬*q1ɚ@zhB'ET{EKQu.`5X0\j[BX!q{ĉ uF *YAUuI;6Jj%a W$YMPóŸCmP'0 7T'W!c l#tVۉщ{[j :%uߧ.܊bSp&uW9>C!=޿<33`伬fO2\QvٵpqzZ>0\LTm Di݋AdVT5>v=})(.X/[/V5Q(9Hg~q -8S%TtZu|Urrd 14?=tz3.x!>i_7I \4{tie; OurUEYQU2xdh C>xǃEJw'In',MOGTM`1d̊2t\=dbz[P`$t |bFxй ㏁-CFUEx;5Տ-J\jFd87txm(w &c2|aओ3v ̝C ,t~-=~bZ['sI17"0J+ akycui(7lDWS/08M_tX^fA B Ƈ7@LםhzxW,;-vU~pR ͩnf.h '<|#Ar.hu2F2PGUN"K3xD<TZةd/L =KPR׳ `*g'*=~7#.4 ᤎѫ/ɺ: ?wXJUB#LY=3Y`X e5B YTtCczIJ$!셾C\eWhBzU ,qEڻ8L|DwLODxCk{@G7KS8 RFC;DN1!K oȩ\U =$ *t5f>4, шzڞrXXR0XW o"T87DPQXrz %2>ݷ!cfZȚggFVU! n_; !9u'azD`:.k5{F֜-=Y#}OQ_rxp[k|@^:/w] t`.<*e?uFg/C(:GgD#zDN/x#>ń7lC1v3 3-[', X5Sv([rp,Y%ŅȋS?͜shq:*qZǐ~t:5%$ r,WK LLznQS */i%KAċ# *;liLoL@>86/t􇣯>tq~9$tw iZY SӷCzYYĪk0|T3H_mfg=E#\$4gg( "i6M-| <J~r q |RSD g~, X-].rFo m9 )S)>/0_O""24'@>KB q& TG`6E#mZ'w\:+o_77%ZôUy^L@aw!`w*=vTaPaLum˂ghr< u۟D8Ue4+t}7|8؄KD{Ԥs<:=VCRcz;ۋ}g( <ڛsnS?Y_X VXЌ†v (HX&~ K%@5{Rܞ' eQp)]e%MT'*VSn4"ׄK:"?;φhL;6x3%%yѪ?S-f=.p{Dwlc."dr>R\gD8DA&kdܭxEt*30WF  A;Ҕ=hȦqІd~G?Y/(dъk.##63c?qYCK۷/P(tfd|x42PP>s[ND`PڂGDv|m&H;u߼[#BGswqСx8>L7aT*:Y0 \G/}c:Ì-5QԸ3#ϹZϑ6Wp/[9[c`e>4!pVuYAnX cqN:om ͱIөۀW [ jyFVǨ!n-~`[qD.l}Ǭp QD;"*_Y^WSظ5EgN"aGbjJ]Z0á2#@fJ5mXa=>_RoX4Agy2S]#qO bw68wn)?ߗ/GtyL iMr5ǾiښqdA%u_ 4;:3V&UVG@ zk+?%ƴJ'[º2) j1\.sϵƴ7c\_є"Z"XE-&ZV{` |jQz0AwFFY@521bx:T|F.˒>lI. d2AhY ,TBVv42$5xnd@:( _#>,E`-rE4xB@R<>tvMhe^Y?#Fnl+_''8 A*8#;aF4]9ш&1kZ#iUYL@mW?.piN[`8a4 :ň]? }6pܜg[_^QP;O  ag.1QOߗf7 C7C, /E]#7w9okY{58g*D.§ YD2yQGK,aޭ00%K7`+⤜٩ĜǸIdP_Oĭ>s(E 14шQ5l2_ϵ5(K@\xP!HG F0c䤡UT!(a~Huv!$O)v`R F"µ0L:A YԦ~Hf)øַT 3I塇7reVҋ.d=A3 qڜ!Vϧ3SM%(?@Ox! _`E0:hzVxahQ. \eLGW=.Qj^…;~D k2 q*C`:sͰH8{j`Q/#2_.*EQѸdyy0|Ug.{GU @Y9.pfY,CR\T* ۊbB$1#/(luӺG=9h?§- Ζ:@'?RV.5ѢGx#[VdWVu8Pg4}PYNK QRp@Ҕ)t\ L`@c-V25s r˜)*tc}Qv_`y3>rIPA8z@}pL!0 W2ţ!/}tR:Z@dI]%6pW 4-.V)ϩ{AY31B'XęGu `ap!7\J֙ɈrEڝ-yw";<7W,>z_ 0 »~-9":[dxڎA7N-+& ^\q r࠱C`}8-˳Ҽ6_;#;/ڠ:Gtv| azd/meڤ-5Ew8 h\BfC Ja%1s@JHhF\!2bޢi*]#JԎS ; jW\+ Fws+8Q=5 ׂ-1aD= J&۩p0RgUL*!5f⨤g=+0JQ&EF$LͤxNbfe? lBpkw>Tv]w݄f4Vxj 2e,S֗(#ѵFNzFqn+ŝ o]ZiHaGegYy0jFPݿ;Qc?tIsqs΄P6+7ps+n\ 8Khsa<Np|*l{h/2U@"-l]Qs T;&2W2ǙZGp˶< 0MܴA𗼊tcqG[͟!: 8'q/77^$+&:_|_H(n:N,"X҂Cam T0X_ڰZMQP;33w!8~L C+ )~UZw-J3A?P<`D}*FUR:G+J$SWft0z`=SZZcǼDl0P1nIPo Uo02aJgVI;.i JӔapEf~2|/W=byz53tНn[\qXbºl-π3!~êZV62e NTݧ>70e!8t{! YE_̒Y ΏэP'\t؟u9DsbŹNT l vhh5.ڷ~(8Jwyf8qhٱfrieL,5ҏ0~9ɒ,IqWiÃR2:g8dP5pGѩˇNC< X| =\x:br :Ⱦ3Yi~EY^p?2{̯l u>?gPRĊe6s?g )EmIdҊ0rJU+a1KNbL ;an?z1OX"riZt_"^1p_fڀ4x߁tE+_UhԬ1QuSflL*}QXΙqɟV@U⮫O7M-#55*=1Qx{0'~;/8H}ݵmނnCH",gЪ&o/Ow4`s N3GJb@1'T'~' ~|FwJ1ኈM!&jHOE3cvp4p9@}#V!j*ܷ)O$,ҷn0n#R?VT9uHhk$Y!4MDp< DU^PPDŽ³.!J-ߒg}=s0n 1rM߿.1xuKr c8JNq ~r* Ϸ2Wsp:s`SK1<#@-;8Dk?\JOe0?2<)Q"SwdRjQ862sf͑K4vKsf ba,8+ʎ !ڈkf=KAT6:ʲ p~AgHGYB<ÆDj4ky'lY/S(}[|l#Mj8f2{/r 0L27X5gwF";cܲ{fG8{_Y dd`jd2Kޝ[U}c ņCQ{<-~V>3`Ϙt'|z/ g{bǏۗǬWlrV,s΀A)c+\LT#8 -\5d0Jw@p85Qzw-b%^4ʓ: J/MyֳS u$42P /b: x }4(#5>AWDU0LI4BM CGw& Z*ԃ (^\/5?v#(œ@s([Oq3;Evy~{Q/hsf k Ƶс#$PRF&s(PfUe%.- T99 Ddt( F#aʞ/൩ wç:2A&oBUhj@%`t_3gE=e*v7| g >ËB<8PYޑG&Xn:}5Wey>.,=P3^7?םApDMuWUz$/B8;,gJ.Rp=p+`o lxڝW?rI[,HT  jxby=˨Te]&z 'xy d@tCw/.QðFDCfHPps 2 Mko=/zPcԴQL"Iyg~NU=ptj 1G9]|~d9qS[)o/ .q>bv Aa~o+ɞ׵Ơy.Sun9\fDQ)v#ﻜJ4O:r!:mԨ-(4p9\Z΅_̀}ʖ>Y0&5$mS`:Z5.@0b)fVDIг_:":Ssu[h7$ǸS`7s4Z3Io+|@5)d4ڪ>i㾗?[KUz4&dYEpG%w>Jҗ*ڮeMYSN0~GEX2,c DwP^(wpPy n\B:EQ.X,9^1b\B=)&*Q8ʤRLVu6vcgrorl)fB $eǒ%AQ\@ OgN +Bdb/>-7z_>ք;[+1dߔၹ4`uƂm p6=ɘ31" @S .ѢsT歴0[%z-8w_5P t  _ô_n9"j.$bxEnpÑyЊR zGx _Yyuvry=:]]5:GE]Õ*0$|4)>v2OD>D_B5g`<0_y%Zs+u@ WikBNH7)u P 92Q^bL1'|?syTaFim>ȴ`0 7w b7Fu0wycMoH(.3S~)hbWKP3ƸwQ`a/r?y&{}:~#|#_)#_ _+A}eD-w.3vfO}pd#VROϋ%-QaB0Ր\!&9M~/{Y'Z=̩h@ ߯Uhgt$dP{ЦSlGDт: 1۸}{%n{}S< p}+kEa+?tsms6Amsεvt,V/-0=@3)bChڏNh ĦDS !P ;_Nꗈ#"q0d-GC|@\ݏ!n `gYfj Xc5oBU"_oJ b&qb!\P!C6Zq`^'4)_cȫ Kc! W@M^H_LSLIƦE$4 **jQ Ksah` wB^Z[#W1yXAc;u=sU]>gi"}U/_E7 }Eymp|Io 5148Ob1"lKy. ?7OZú9n'',(YOt/e*~#y﫶9m?:E?Rן3l6_wSxI遣Ì?V VP: W{`} R<ۮ}'y){kN2 >^VbѢTPрN|5{E(2 <mna=Е0`8aA{E@x{×L,@_`u[ "y[Bh}Ed"|#jOш%zT#_fL,n)Yk0z׼ך!/v~G (_6+lY8к ĝhIkQɃ@1pF5'i(^3{(`2>PLald"y)@.k cCf?eh sm%_4Ld 'Sg/=N)I1%|4Ƃdғ98HB>`F}Eno>~cOTq@ !r~J [=Ə 3р.2}gx_ۭc'\ݶyqu4 KۃEp)W⽵e {0Zbh\ӹI^wg,)3͖2(֢gMҺ:nM\7G霝e^6 `u/( AOh slD 魣Oν umCRz,5`k]}0dkUɊTMOWz6 dcJѲ0KP%8gף\ #lC-޵Ϸ<*_nb;'jg-iķ&C+1uޥ|n`F (DRw0P0]&bjpN{X,j(G<;Ì‘փ,<H@\|꾦KPL~yyZXxp- VcQStAx<骢ͼVArQF9ִ13XSTXc$N=9ӤPBa΄cphR//h4EQ;)G&h2Py6b<'4yTڎL8֡ :_~i$Kw/* DWo c}Z}ݑQ!ʃ U޲+hoCġydN蠺[5 ,-Ӌ Fsn^} EOs;B1FEǝ18\#޶Ǐ!,l l]L!"xڒ^aNpzeRRR4ܜ'Jy#JOC!b@p,RCEO]sB0O^_E-it#:V4N2sh-dQrE?-:YSіl$'GŻ䕨etXLsŒ1" >7=:rdRd B@&9֗3tKݖdոI1؃'(2Aq,//sD}r6C{V4-AxAN-P@+.;F1Ke~~K.?#a(tZ))(1FTFKmu Ʉ#bOg,+8*&TU/`U<_yw Ђ}b#Y#DG,JEd=yZmL0Vn@q-̄KKB9v!E A)J3Fan;.6EM) ߥ&"`u-u"01f H]ģx< Lg)mٶgkX~R $:6[t1!Ӂf5U_0qSgn=)\ٸ϶s-މ62t$|@UDe_=Q3gfNqg7i̹M̈́5"{)oZ^e{oem7Juer%ssbdCW6Oe|TKק_^9k"^3p.'x@NU@C1ZȐ0wMLp0TWxHbg b.#^CR;aףPh9GP9Z Zh2,l=xџ~$D}E:C$ 5c1oQ_K,I!֘Cg%\0Eꍢ-/^|y"&&u"[I ֒-FA`lmC1v#utNIs+ԃ[lg1ȋ5اM 1l3`l-\0>U+O&.`Jփ7dSΥR&u sj64#8V=6԰yϒaN1atu":\79oi! ww(7H=h: m3t/8\}\Wm |k 9.ve|sʄϙMФCx7!/nʺYt)i"ߞ̻1cF,|!dxc$'(#0@Au:A9d M@ -c\ TcSYA*0utU&/$-sctw!p1 ẓ;޳)KO-s|2Y ܿ@zpo'Z'`}5jZU #J.0(ҰUȌ)aeJBvQNNRHhc;ןNy"HUW jYA Or ߃` W]?U3r}7Yy5ukOaA:rTBw@),L#_w3/G⧥o6W`9ZզWK]|po!H?Q5Ȃc\IZ}ۼ}}[i]ES+sFNJ\d%sAv hcQQ_碢Ga9!-X@礧Kl!+/ӷpa ~iUF(Ƽd??NCSf aŒ 5x+X&DsYBV^lnkښeqzdhM,9SkIC"~鋌qʱR敚R۸ߖ}0H<)0IGcl{SXXOƻ.K3OI`Kqu^GP F(|:Tr4@IDATE2}? Hv4*#͘RWwk3ϺbNK7\l`:ytQR`c>Ia ̖OwBWu8/ޮjCwB ZM M!3Ki2fHJ3mĊO< `+L#7iBxE Z)άhpgRN[c͇o[8Ŀa ~MLaK[e,\&gS#Lx9 uѬͷMD̬Y7B SDPSvh[ƝBC\P ϢBA "䄄"p_y7 ű OkJl *&bՍ5(<0f/13iIѧiyg[ITwS(&ds?n4()&k!b*\O\&]#AgXڼ ?/ۀQ>::\+"W2*D|F1 ]wC;'U'yuZu軺Rn'W:ɓ9Av uV/cyB4j jh9 iϣH]f>A. ~c bI"ʈ^Ego+WQ?xq£9yBVV7u®uu O51-PBMzHP0Fd3xK848yEGg9e&vt !Ia,-uQxO>և|<٣RN#)}B ^^Oэ3/#P)1yS3A ~0{I#u=ךyvB elF9e at E&``X5'l7J W^>x 2㲂AEs-3#!1lY|KqP3/Ĭ]go=I+>2om-F_62ϒ/co@WN7䓓W8uhzL\'S@Z4wr2N)X.z:9KH3 Xz/ zcדx-qC餭_UOEwJ[׶trYP1_C>S?΋4w9@MS!vuyq s P\(tk 9BRPE@0,^rGYH1^DAmHVE7ݏc [YSV!!O+!>˚1^=(&u8yBcp] $Kv7RL,y@2fH!%ԃZk2/ydSJ7!_d}bpslDфx֋l[SL@%/`H脽iL{MN7⻛*a((`"Ÿ"#[E|HQPmy(?Mla<+a1=F56 Si1ucT>T.긯Xji"ۿ钧NgݩUZD/뙽ק[Eht?<~''B<.j4aMsaGjhc|E)ºju.zQ-EI~=~n L~^4 {x8X3ϝgEBN;΅VjW.w\4 RxnoqTG(th;J-d(@$_8qr *Fxy߲ ZEp\X~Sts~235B do&I>MhѦ=YcX|M/Gݴv|gE `Rrv2v^&zoHs0w݉gwpS *BEVRƋgUSBHz'CMƑsCԕ΀#2G`ԩxssIK@iSTrzQr 0$EiK^i`4vf XyDnk$g / 2@)1d,I+]_G55.YDօ`pl,>'CDI0.mfiícE)`7ɶ3y(*wٓ ;&z_3=okxG٤)9Ul.~tZE( BIe%GGFy E .@# ajL /H.m[a,Ü3svL|pxJ~|BА o#-5vǾk0V# i ZC]kL %#{gD7@@[~h+`D{G|!3l7L RRotYh3ff!vۑ !v%5x"dsNp(_tΞ :F\.Md_;!tA̼.{ZKHU?VJJbn%cFSPWK(jh) 7Mt>D|5 ̋%< {2!W8hRQ`a1 k:"[8$Hѡ|7@1bE<~U?X'hjcuNGy]q\u{5]&tzROm 7)r yYB׳T.iFDxb뗯Vo^eG4FC;sQv'js|tѭn^)xRpɳ'ORƕ+4qkZ?y\(Փx Ԇ@*F{v]3x= O&k ߽hIS^cA昡h;뿌F&?Bƚ% ) fCs3vXьzٹ/s(6EDQ=D[C OHvaIpz'9]-r/,Ѝ9a%$(ksG_RRluy{S:#[ܫ>{ұ8Ҙ -pQRK9ɑxqJ_v. _Rz!A/"rSԘP E.J8QxyNb8$^9ATӾ 2>fq{)50~a5Dj%SN#$mZwssx惇gO::v^uIɱ\x(h1<./y~qꯞo^zS#Q"i]p7Uί'`;/?wp!y7|ډ_kB~Wg*A-OuEmv1@s`579 ~uQP-5J7Hp'bى(a,&n5l3Û"gq&z=Q!H9#P1v񾈕yȁFRmW:%:O1=Ba4SIKql L9g|4e$8Nq z8D7ƴ9M\.B4K1iN=y93ޫb}'TX349<3݋؃`GӍx)m2SB5'P@ ˝P:54OL7HS-6X*YɩɗXHkS./g6j1 8^7A ˳\giăpz0t2%ϟ̱Izmw2VF^Ko(QEG tSp6 JȄFHr% -_Ţ=)A%O~[oul{v) R}svz&έwirx3t^,Sa:ܼ[1#^e37 I:85 朣B)n%dĽ KQQ̓gv4Fd[BPo_n(j/yH=QŨg)apL # yOu&ao7G05UFg<98ozE8Lqg-=Q~w:'[`g`٩:c4.[h\7MpSp+C Jw P^V1)xSߐZS>]0Yvk}Xc?n~7Un;.繬Dd𽔋N|7OW/^ @NϞvo꿽1%_W2ѷh<~ G+F?v7D\{uw8/ݸsI|MG_ORxN6^#198dVpHN&@ڧ#"tHCDZO~3Jxlj8-xȤclGwnj韐qQ4GGmauB6vy%``/3<uhc5LwH Jn' 'M9ӏ-z <<񕌹DcfљA(dB1"2D1B͉x qXz!KQ oP2V=oo}l'# ,AGj= 1 $10 mS11Li䀜 )Lw a0YfVVB&)y%N ZvQ!.}~5mE< GW2.[zOXY_q- TnAAJ xf:zAEmeQ^h2n~ƌŨO/릆Bǫ9W5?8N?e$VՓuz8] WQ0?v;mjW3^q'nӫ׫dlkg>(ݻ}PD&>?Xǟ?n< 3tIV2+tΒ;)aw=}dvM{C`vgoó4t8?H^:(lE7ᩰO}(%d?9ЋywÝ J Rχp<ѕ'Y\Wh%Al-,XfAdCa4!oKdZ64"ò p7llT A[3Q 3vg|ͽ}lЉP tE/CLMB< )Li鸀Bz3~0La^Et!u)>m^stq )&*d.gUv0]0 R 8g1B6ku-YR"ׅjqBnIPuJMM -&DOkV0vSLpCfT߹ ^~(oid4R4xgW)<~%3GEeJJq@z)vܲ$U%uY:͹&ǣMEP=i qOy2hn:tc>Ń\bQ2r ޓccoҫ{F-ɘz0䒜16ѽxፐG5Bd Bc7-qτKmT{KŒ0˜#B30G[N%sѨ\/;e(9בI!6%NW1ϋ(iţSsJ|pqKt?Fa)gŭ"X[^ttm4M3JL ᇝh G`}NFO.{VN#p9!~bEIg CM6V%D`Ez5ʾXO)ѡ|a&N(g0́ ɷeQ7|e!#79M4%~Dbf,".m4}gq~zN c[I ei}Leys?9rg Z4=]sp^5S6Ga/49[| Hd,{f@9E>1nڷ-cDR'}t fjopagBRxJޥp[$QuJE ӄN. ɁbW l+70ClJP:dX.SZǯmap^RqjS^ɰx$/J`{ZUyբ|c) 4N&ٞ2E.!C7 k75%\w8B4r2#i -)62EP#HSJ!8w~xÉL׭:Q[MJ7anTػy8 %d\P3pOӞфۆb{_D=w#i'u|F+$˸U.t1Дt C"䶿;)Gvul\q7+WWw'y_T߭9Qq^(䪟{6;Z7!Р3k(f>_@Sc,X }3F)rpE#!gpeU^f\]i|}֋懨q )@-so=6K•/U:ZFb}E U]>C]ٳd-v㯃G}n0Ѻ[Ͳ~_F\1Yo3ErYm|:)Fhp=h ]w/Nv=p)͎4$ ͑f6S3vGS?_td_ J&<IPy^Hi SxnsT01km92 Z:|(5B nZL\\DĄ(>\@vK=;љuX Kyn6؉5Lz v•U.Q9 '+U7A ;R4DEVZ&ϿX)գoW?&ř|n!٣NiQsӔ&@?T©tC]Uq1Osٱ؍{&:bL?+#=C'c;: AR>ևѤh x_i_\a탫CơOOJp%fk ON$inkj3pbO r|uE_-{^7'S<)zF1ak_SCлd2&h9ހ=2Ϗ\5lMU|k-Xk f$\ ;+ꆣsqhzx]S娠=oN^k\Rkk^v7؛krÉV.&B~/ۼpy`@{3F}T[Z# Kuϸȵ߉4v[BBk՟g2k{x;'oϦ*sE{}xrzжCZx6oYǺ=.ﯤ![P9򅁦 c  $jj f^ %1vn &F5"S2nZUD V:ɂ X1uT <'SӜÒc8 ,ֿ9ZRX[ufMC>Eq5կOK f|.1xR5p1ܵHh=Mj#Ab~f%ńT QU~#6M\D"ݢ*;."@mBJd1Q+ X,8wnr{ qKFk$x/{-N7 [ZwHШhFs4ӜgI5>8J>nmg)gbvܚ~w߯_Wg)6zz=jk Wg.*31Mz@*JZwa{WxKÃ/TPbsjkCG&7[g՝:":%FUԊt tn˗+,-xR!N#Ug:б6)ҷ..4< $:S 5Ddtd.N~س?"r*xNlgr6bD*)h!.3_[ŭ'ڕFG"IM:w+{U~lyȠPj!/^a3"_ }hl2<]0F: |#OlOmTʥQ-Ր-6z@>adx0jevh1Zm1j7c0/rc "4쯊䓫0F;Z-x%s\h9%Y=ED^r@+04^duzp%U:Xd}_%7fE ټga1b]Òrx9X*[p CAߎ=Qdi٢XC! )x :Qά:Bt@uMV{wa ] 3xCTA* yHhv"XD`46`S^=O"J!Ms eZb(O{ l%$0::u m[訽\NeM,xxFg r7{V#}FKP6m]$8~&—'~-4ڬ6'LA:B]^}G50B{yZ݌~[~Qؗ2`tǛMED4d4y_3/5zރ0pv̊ m˔epBOx"WsO+cC)qWjiA$2uǽ{^甗bNyLnËvjkdN<.ձR*>F6<o!N^bܠ@1UEQNf-xzPi|>c~^<ݿO kzLD+p`mjuo x bMPMUP% Vsh` 50Kk !Akn߸>1\S Xxø2ԄZ4Ρ" ݻ4he?)2y*tRKa0{}b=[I9^D5熝V(;ykXΜh^dGhb ZZfJ3;ca,퐎z6>X~.gg_kJnU01ChWg,kKh@nvE5ĎBޓɥ^' }!Jj"MB񊜆pvL{8婵pVLG?v$fR(<4@ԩ}J4VA/ѝs]=˘2f>Y65aT-F#O 17X*'sܡ:^>:|1$1΀o= - aQݦ]C$2@fźG-zzb2e=Jgy~1|Qxr"Ն`Һ3g+X02&`fMx LZ|ps*!ECm7xރRtLVNrRHg5ԅ(j@f 2sVkْKjҩ 2~r>*en(^}+*iO &^0lX46>];)Г|;Mٱnpȼ֯nAgux{RA~y6xpy"W ݥM{O")6D): #{4ǂrv }xp~blBӮ>TBnv ;V# }K20ϹE{"Zo%`0FS dHe& j(scoG"$SNC(#OLۧ᷇Gp{ #`c>J)^/ft`s73MQ\qra~qj_zc"Fp$:VTc^/kszw#޼0|CJ{ #>}}~o bQsTi_^2T6Þ\j/~dp{\K7\ގoz?oKTâB?|h>%U${ ytUAzpѰs&g@ZkShp V$5ۻmΝ`^1IxرɽuTUN$.> Vڳ.ythS, xt?v8{~>wϫj&+P|aaZW7vшo= CI?d5`XsǨuCp:i5SDR~X4x2/O8'gGl9WԔĴ ^^!`u.O% { g=7CX l2};afFR̩mC@gd|Q}Ɲ|k蓞q\.g$4x3x=ܞgH|C`!O`慂I5K []j<ᴙ<螌'-7&&WtZι4Z8sh< 8a!l|1z% 6z9o;Ax~+P.G,^d`]EݞӦ3nS~A0l_8 6FV%МaޫqkXnxc@NOĨO[Sέ1ZUn}E@甊#%ʟC .dp#Lg1XO72( juH(,7țfj{=C %! x|)3&}@WLĨ Zq=_bx1)UAKr6[5\2Vyr=ADc֎6H(t!`7}fr'9&B(1zK9wWQa*\R.O!;iai &NZ>."W.QG޶[tǛ ,&zë)ۍU͐iC[hNDn<q0:qL5M@aG##06)jl,r|Q=OK|Inr>`Rޗ>DIA1MrPfJuLc}NVLҾu {:'yk0}= DsUpnRh\Սw.RBuԨ+l(\?s"iI7c{ K$9 Ց!jZ8K֣2,n}/ EPOxbNtI{Aa6F(΃Rnߗ(3F)ǖy ~{b5D)^} I~jVﲟ'$Jxj'zG[97C|&jj.z b:z#"V9"(a@ LIཅD=-R",q7фrgaVs^k) }U$cSٚ=f3/?9|cI)MzWe$UՎ y )m&$ⴚU>Q6X}1(̂d.:BsXr˾,[(JYMgw,o7 ^̱r>JUlի}pVB(#z?<:ZM:翬Pe}w])կ͇ۜQk"e|>o,"ȃq՞qh>8wIF~ )g?nCe7MϟJohwVxX􊦤&nZp5hN(1/yq7Du|U谵f2 afRt92L'S<>27Jb^"(gKm1(iE;gylU/nljN|O'L&}Y f0?kj-ͼ}(#Y藇ݖJ]L %8Z J)m o޹49S2 - i׸޳Y X>7a[IO[D8a4qGNC2/odڼى.ﱁz^GhX ~gyPeNy@?#ɴt6kr< ӀD-C]8<~ZmO4̝#Y›)1'i +O#rv`0V͇ @[Bg?!*4a-iN[s3&B.%i)Tќ CwgKuHuuubKt9"h<7X|YPXIbfb_ nah;nb,闆y8+[La Q}0$H>wV6O;G'k) C?2iρG/"?qs:ky5F[5!GaVG*~Б[[IG;7 C.ficfO zqX`vbD5 oL̋D-Su|`<퉤'0wUdE N`F9'$Aqf@v cU{_X$yX UGA3gYKsk1)E$#"\Bݜߗy W{P] w}bnXyKV8Ky\TeTzB}X/ qγ D9WSOV_wJ )ZpyԵ(ʵQA31qM>ըH'O>땫GmD2®(2"wzI 눸^y"}( .t8d} Z#' E &"ԛ0=j5w=(BCDZxŠn#3Z\5a'uOkIٸ-)uD뭆wХCG(H\ \;^t-[?asqnJK^VZy!7)|1wQju'2ժOѰ^Sc(F_ҳ6Пc[0gGf8uq8$z=y Fx'NR F-GF䕧Ͱ(LϒWˣ噌]k?}FtXQmi0{ 91Dy r5vr;l)+ڕh[/_Z /jf9iA!X$bv: -7![mӪ—H ;_xbVMFIEҰS= 蘭ck :P-*5 vX>d; yO:m/1"N [aJ(#0`Ք*{A=={QH&zO>А0+)Ӕ\].!Êe\7&*7a| 1 b>ҷVv@)HL$"cPPx"K 8vHX~!3 WIc,5Y#pf#6Bb"Xt yVN:Рݎq 8`/小 ]pr+ޣ 6=7 v^}_=JI1dy2VWpsыv[(Ǔ]^s{f\ lG7!*v姣~//_yOA ~_VĀcjD梨xFG߂OWO֏KWdpu8O+@~@<@BNmi^H6-{_`h;ONxW :HP t,csxz|"gBatz#BBƃtfқx9:'zo؈)ٷi Ո!9g29m[=O,[|P^j/xhz&ixL9c.T3E9ւ9S,\Db?cj/)ԣ&V{z|Қ@鄠5 fqLov 1g0B)q25Dy}Gs ˯th 㽃X0tEh,ClѓEsLFNGȮg(3P mqg !6{ꙑ;P5s- .9D d~n#3CeQpnkNK4=pa7 tjd}rnA~c1xY/Bd}a@.oֹ5N+oఴ`Pљgzt{Sҵc˜)lf2! }Lw|Jk1iB){/Kޱe[kMg56G- V! ºPK vZj]MC8ν =}Sڮc :@`0TY-qyPr~oT\)h~H*zqF )"`E=1OeqXх<4(ie#J#=aY+轖!D~w $!JrP(Ȋnrw9ݧt7<=g3;w5ӈ=(-ﾯ_ӕyYӷ_t{pwVo*|zbs*~p &LAp%];FxI%o;ӯ߽ß _~7Mw4OCJu}䟃|;+.sR)Opi[3: ^w, |לi.[T7kXb" Oڭg 6H cSXռM0/Puf{|H oj!EJ%9XccZH?s>/j Rp52~јODF>hEˢ6Ϩ >Cb0V6r\̨4$Y뭇7*-T;Ct2f;a 49_WQxbHy4;b;d-$Yoy&YSmyyֺ}-==gDk\!fk"AIAN*0>v>X,!k$ch Mj;S9'SXWOV%*F7L:n#Zʜ<&mf@?=I.t`C<Wili&O:)qhcHp ]O1/X8VP~@So&99kPz#ȋ Q6,V0h 0-Lr2h B1S 8A&`D}EW5t"8tȒs)k.H7VZD9<"ͻXKg9cǁF@ CpfψZv#.HlhYQ?%C;%G1Mm) 6r[?O$Wx>RkR]-Cp366|//FqgdR(d"/0dfč{ak0vHlS ؁~ (8O:XC5|̧&E(gH$mp/>(Oa!)Ljظ0G zT衦5B 8 soJ.[,eS^Oia="(v+q\"XYj%mz[ݯ~ij>ļޗu%){Vom)@lPJ G*T`8I;x]cL%Uշy.BEg|Z-\50^w?W'twU^WkNԡ}uZ`5UY}?TUB ߟއۜ,v`hq,HT#3Ŋs=;B5cDh: fU[=14/,aPLv#0ady)᱂ָkWOyV(ݭ8%`RsohK׆D')b$p;KnrgLqu(JT1N*=+̢_iRܫj>CES."DѶ91xK+h\(< =+lL+x':.!.T?6#6wc5<&?c6Ġg,i#a~ѯ|*Kq=k ^G5f6Ϻ/SaQt\b2ĭ=c,zi\ն![ |?\\ `|aY9o];ƨٖ g0M_~_c|# vuD.D X_~fZK8.kծ&4qyܯh6.A|c4&/GӉ{Cn-Jd'[YX`ģ!ͭ][ !dOMSPsAhI17LHǢT޺uZ6v;D#j]ݵv )hy4 @D,+D՗|X%z*F>-9n?- ]//W/#>Yd7?f9._t_"Vh1w*}#8˃ xZgma} at{qZpî,M[n7<=W~:VY8 UY6}})*ZEA6_&;k1k=4!&0| R^JD3' Hԣ|:@Nj=bAC8[Orw#6f|)u2D&Jt"Mqs-٭bcXi݊G7|{?0rH ّ[x%a#|Nl;L[0j]ZYIY 7%! &?@kgVgy1ݧ` Ȁ%t)7e{B/\F\cŭxVvK-@ hl? Ñgx[%}8Z 7q xϫ5ݐ;!-|NId&$|U]=oޔ;ZpQOYmt/V~y9}']I?/P}}n`xN(,~/V?տY[Ĝ䪜%uaJfڛGߋZZ'-%xX=c67߭|M=z ᐇ*a9-2Cbnx_>DgS.~ۢ1Kxr{jDUN*Nxm;^ψWCv`4MiU Nn3;{Cp;ZPZ>ƃoR< [8h,]zjv>x \kз5ZVe?HYiNڵ-zMZűpQH\)q OJ;L |Մ;kK5J'myxvW1?e0\Tbܠp+7VѨQxs|8sW HKBw-Nió L^Ǜ<) / /Q#>c[`>lw'ԽoX,?K@:0N#F77Y,Er"ձ~9`6>J Ĥ/&!+k0Ba4B5eR$B%8e CCc1ke@E5pCBn)9`?n B6ow'(ᄝ/Jj+il_q/Vq1G9ׅCM>]k 1l?We+rVuL:I{=Snw&øَI 㖒[1<])$ϾxQ(or8[VWF _ }S$Qj$p4w * dDJ})Yn}Hou}ͫBy$ 6IYbE]^Q1esv(Wh9l01y .ͫoI*v[vO6'̋3I [Y n!SNbM-ƌtj̄à V".=-25c]^a1S)>rWGR<?$$G3!WdD)Ro nM@ ߦfLϓ9r8f}nS,| v1<&*Ar+tfC}RN(c5?^XF $x@%lN#9ŎȆ[~}?r%59!o G70'ai`׈yZPTAvkur b\3 لֱq9=ԄLʹE6uB7\$g!ATX,\1ĺbYOr᪼P64|dEx#ٳb\=zfĬr[׆#&P79!gn!ʞ  lщ]cYĞ %e%fFV,iƭ +E0Ae$:(0,qyІ,d#ngwYk vlh 'nIPK@"7$zv7k/*58M=@MJQPGl~?k5!ul4 'e!Jp6揄ʒGB[``PXf0HQbY>d lwuō} 4Ag#"G$#(!+6.TlUA{ K%\ ɶof~ͫp/71죶e$]\ի\Bk~pqܭ޾zzYa(nnw擢qP7+nyp[1MTUST(N>O;DK {9zǵFj bpi#h jO3m'٬͡bRqvޮ75+ WZj.07aڅۡЂo}iۉ@)tgeM¢|}t@(S_xjnD}9B5yu2[Y5\47c2aq7) ?Z@gbp;Z 0'gOy𲖶ǰeLLnD x{>/(ٮOE,`4 MA0\H>Ve7ljuS;7 7`VΗ nxbP<ƒ=e|Wk}c x<,xry+^<RH>Dp}A`PƗ5Nn=Ȼ7Y!m<,\'1GJ]x7oH U#Dlx_Noxg4G \!GEC S+N;n~ ؁)I@j0Bdմxq fދLe6N3Ř$6BK!VO5!FMܶ@h70kY;=$Ũ!CiK qmނ[Ob J[RXE٩5 Tʴbg0Wf7ݜ\ LL̹fdDI賤N0ַɅ$g;ullv5n2j%*ĿkCn!_C3KZ{K-^Ȃ"&j0U eJLwCF&qR;\ܴ"О]Lц){uՏ;'۷% XǛ\t.7MϫWW𷿈wN΋@P$~|}M '6rq]ՙN ޿/ ,`LU;lK/ 5 O8 1ЇޜMC_nKPJt;~Q=9n`!plZ o^$4i VxRxz$xŔF={.0ᔬ ?O(؋-ns m::3e.\;xhD):n m >Ñ.m1OZFxń'G=SІQߚ.t4<н,g֖{’nrvs$ 첢 zF|9 2 b]sdz|b] C{ R<ZJ9!s&G} np#2oXm)ubK^dXueaBU |ey*$[ӍV%1 ۀ ^s;xӓX r=7 O fLnxmYQ!It0_~4CwIq{|,<4;HDhyXN64:ɋo.26aRaߞmˁAjP i܋hhs؍LԊSV=m.M(YuM3{kڄ%W&ԥ,FY,@ Qh6-h=b¦zm}-&=UGnU๡]G`\a -LM”897ZɌ1Nmz:.`80ˉH< …xg2]zt/TRJ{z8M.œ",Ib-'ʚPOLo}bHSk}nj$[1qc53#MNBƄŲMLoX1^E ~X(Hn͍3K8g˔PݮgC+*g+e 7ObB[ iDd׬e<n"6r~iԽӳ]YGOO<_X%nbװV^_EI"&x\ۗj8y@1BB:7яFY律L2J zV-1/8 &zHTq`Η#[wJk7oU0g8Ӯ݁ $ Fʴh %hdEՠP5/ec~v(F]A|3(F鄋}ox N3k<.}Vhq`wvwjճ4<) P^˲@36&|[l2h^3yAA!"Bh~u\1nf5@:) \9 V4\ګ&iscC {`Ss1oecLƛ! D g] hiDg;̥X@J7ƹ%nm*wڿ)bDc|}!2\ oNq4(N-!gYGĘm7#˕(\X3un+暺FZL G iμgvElƴ!X,G bTE5cpLx$ܝ{|ʤ.\xz?~;^/~˟%2ppaJu#cRH \MUj7p!3~3T08#T Qw=eIԮ+'^xdc'|Ȼus,77~JXe&?@jTx$7x5Ie[-x뮦<]\gPGw|OF!Q~7ųg +nrR,GQux@l{22rȄ׿KN [?57kȚ6;xorBM;fs1"ѯ~DqY1L j $lGywvc:l4}^v҅'gHn #.<.#Úv]ԇ(MdߚCm !A&vSLrWĜwdW@,3v! bm&gBn{EN}{8(GW_o\z GA{?4^Id@$кYZhIJ-.` &IB`n{o/bo TpcC1u(_8BnHI_k.Ƣ%PKqyKyHH >w%C XK3]q^ ᱌5Ws2oQzF,I| 6\LɊi+rq3S"k3\! DhMT3$NτF09 {12ܟcD ؃Q$8}T"q{6Oۛ^$7R2{-/9lOjy.z (JZo_laogifsC?O*>Z%s ;LіAyQҸ%ZEj)v燮6Ы}c" kTiE$,]K0WׂYM?~ PLmH0&װ2$TfJ\%38OX`FAc%R%^l^"4V<!"3҄t2jx@ǤAy WR陏 2JxRwгmmxjG*\S`01>ިx+Sνȶ>GF1䌯t Sԝ~3\ƓZ #^㆓‡dC%sȄlr IJi Z)y{3ZK[ns.F^y@4Onv?߸*3׹,\E&u/hp!&}8Vf0WgB;K|P߮͞@ݓ Q;qF$.h/!k+x."'z+stM}}Ʌ]c]X*{> kaRtTw&R. <k1̉J# ym1E,U'`GiA=0aCs;c}0mG9_e_ s`@IDATsB aT8֯jCf귟)uM4ܤtl$v/XPz#iQgx:0PDFoS*:u] kBNqQyW.DV?dYASv7OpMY|ڮX9p}, ΂ƨߖXw15:zK޴/Wo@aڿ:kѓ\|}k/߬o|7Sj~v2&(Seŋm<$W|J{h /b"1emdʜi(B, ϙ?n{B^$j>. ^10(& # mLd'HȪD} D Jr'@?/e Y[8 WBƣ>DŽ!踯i!3 }! NnUx@ kxd7EdsmN/d=&7WI{YӚe>b UԽ1B/NFBnP΋:d47c qn VJgv>.CZ[Ыn+H{Eڵ[? ^WͰv=)aQn,8{ëy4ʅÙ(h9٦{*XYxci@{d |wFP2E~g۠1w/{7 2q#d(GF=dzGF1M hc:'00Aq3A71ֻYRf [Yg,Ѣk ,&{UT߰H*R,CBbKSfpTj„(|PoIzyMiiݯs6eq̓POnM~!q $Ӣ!VsXMz1Z6xvO&/#JY;YȍoҴ,AH4½ E^jAGmJ5*6{"0ٕKl7G‡[ 5$/4(lsdE 퍙?js kE87ܼ$9!$CFCD1J 5:Gl$pЪen>>lu|:g? .<av^(!wbqo~9v [S4цĐ (#;In7֫\ m-܅p>"'F`&L}@-R\v aXB{zf) ~9 - âFXԃEQ8~l@8pC}# dJ€ yNfAXؗ%bfYC!d: y".Ez5L! ᔗj!iÂpuqph$|V681K#,:UxQFncF!{,!Ν=At!͸/'r!cS'6ډ}yQ[0+#B. - <^vP7o{PED} ꛿Pxi4W)f ~L]0Hwfg%FQ^OϱW G x|Qg!+zcy GYwѐ4ۿ6yoޜ& 6#(Im򯭍r.ErwS؇O09( cձ1"5 Ѝ .,q F JĦ=y?xZSi[_WHmбg9g"l?fQ,^X!oc6emag+Ƭ%}/khû)?b Cc89N=Dw#aq `ɴ$`ZCJRns{Iv 8Bݙ'e$ :o!1h&$_Pk B91n3KN4Ӷ>v5Zf탙p1p < 7.'=5j\FVDPN0,; !-=gH?to# b-^.\BwSq0[ op^U~j_YlXme)Ȟק,pjg'Ãx1? :'ך`^b]O@_…)N{pRBw>{V" ߦDN!/fY)_|{VK[7BI$ߩAsOPXqM"%yc}mkҤ:. 0h4^h0CYMPA~L[qVg0%Gۅ̲2/ yy#4Z3ɾ^7t-š{&\ImwG8` /|579y<- ࿖F~ Y4hL&f'\Z@wILE B*ʕ ^†swpSʷDz({i2ͤěmI"7J!B cTjOn06&uāvPGфHiSHۍ9U}Y0h4aE[VKni"=4L =qr%Rソl,N܀rM)/MmvhhC7KcAuw%VzKFi Z#GDCNLgBѽ ] U3:76Y߱*jk߉MX+CA^4Ӱ\&'beZ熙WGx<1.CvvuCKktOFysg&t/s/(nŘZV]sp;LYv~(G~SX? th ͳ-j $NX^4ם)@|W 8.#8B[jigW(`=W;`?Xn=jh^V86V?  _x 8(ggecR>^"DB]" 'W.^;|2% 欔-"!{ G3+Q'=ހWrcB'5W^vw=o\4 gݟ)}<$Hɿc 碬7fw7yF6 nb!hiY ZEeȬ9fߴzh\t"[(8m.ܬ"\Š"ruV{Y~ D P :0\b&j ~˾j4RD$58|z麄%ȼ/hwP XB`=  w{Krt 'dM즱Nl=΃0BgDk= eb LB$d\!Ӛ6RIYY 68^x1(*eTqPs1#DDw['<4yXU3haܸtLceU<,*ڰeRFAY넪8T3+!񗑜%/CoS섭g @fbE $xfL2Oʑ\;'VG熳 mD1'OW7#?n]I")A ~E_`PJnkc 9]:qzI0sOoet?R:=ZR&>k+AUY2B_9@ _1%C~Q}V ~+jjYO#ѤJP,tҙ }d\{+8Q=߂hhuڣ:4L/$`e*HぢdHcj2< QNonr:O³8 mGh7ݠJ(AR3ZٮCܛĨi:R9;Za,l6'a_tG1WD"@;G9½VgFMuj",GXn#~<k$r (, I1p(Őטߵ摵vLF-z٘֠gR3g7/503gixzkSR|wA"BpIv?ƘɒUP./ <ƚ=op]B[st0|PnQ1 *o%:1,?xxĜHX;딁O/B6h밟`Q=n1Tfyn؜lyb)JliΨsLJ4|g9-u;q#j>&@Cr3=LF }m 4/1F#ԷkO2C j`M!L vy 0\r#xY҄0mթsC#,҈X0q)6%uq۷zϢ"d^7ol<)2Ĺ1x,GȻ&fzǝ$aKLe ~lP5fJ`a!gZ'11N liz?^0p>M巓v֎^.m:6f57Ea+W=Eu$ (1(KY"iN<=F_k-u_L]?]PAnsk՟pk}jQLAߎ5O(}R]2#fߖW!bO=eI&XsbK6t`(!5[ǃ?Fy}3M~.7x<]~ntK|.}}(/>V[!Qs VG 81$J2P;8ayTi.>"ޫ&WK<;ÇJ{>~7x%AGuk8Xfc~f!jc7f}W/'ko2 % "$cٶ7ı,{V!9#U\A$h!؞ iK Λβ|II@A!RK1fc6y5V T0MQ]+)/&ڑn/tN3b씔QG ixӄyxu4E9}AbaAb hW u^M_ޞ` B}?88߽ c"+TM*fл*:.!b7)V< vNLf蕷\ yO'ItM8?Qw5Jpnk,̄F%͂kE!X0wsL ݔ}^=;XGO {m+&vi1Y mj]. q ;ވUJ 0J8R$6uOO3x*~:{ᎉNNk5w߷dgrφ~Y+ًf޼o En.xV9.'+Tg'wz O~jG*tF1O-PG剁4dsx_;k=Շa<+, 7O84`W c E]轭A*˄ZѡZ@.bd]M,n=oĈbSUz^ bx[s,:e Xq[t8'7Ir]7w4ص=aԤ 4}EXPH(wŠؘ?"1V& 1VPh 2C\ l,/Ĵxݔ&ED8>F;67]>7AE qHMc`[Äz.M[!ctY6 #WuZd*ii)a1 6V=VMx$ La†mk16A~żUB3\s여s^wYBgr٘d7x1v s^fY?&3'EHr`I5P"90ƪ&46[9N|w0 ~.wYk\z*Gp|60B?xbb0(\1/>d`HJ{''@]wꤊ1۞r`ќxl:ADsSt3ś3k9ٳλeǔ0n3UpLO|LLn'9b6vg=NOR Gq`Y cƮ.kH8rBF6JwU.j^uK==w53#X\C_E6<<1i`(I . k["ğ9Cp¼;Ro]J. Vᔸlm.q_B8QsA_ލqO%Kgm*zf'_¤v~wF>X_+X/Oe57k7ޏ2xG8 ծ ]Rv7ZOYƴE>̓펩h>?s=_w\_-TH]`7x~*c5Mt $#wo&qzw,Tq4~:Tύ違_vǻy$/B r.v{v8"m;<=Õpg02:M 2ƦtcG4lPQ&Y#X^[y.٩bYgwa|uZ˼Q=O_ⲋo or4fе,]  _9~])dky(SV Oa*W xJsBY MhKh*6l۽̓$>q|\Z_Dr$ڨhGiw-*%ϛ^J%6B><4g۸ÛAׄ6 ƙ y90S#wwk7b euhR0VFЂp㲭zaSV ]`g~3H6(Km<r+ 7Cg3{e, l=d7Rl뽻F 6&=9yR'5QDyU+X`oLH15GF(ck:I)&WMhÿ`saLqc\( t&2b,iw<-?5>.Zb͚y'\2%blkYTfaju2%e OW7LW$dKp" &u4 cdƪF>7s[ٱomLDM1.ax֊ SvX\iC $hz&OF박_3aMy,\ʳ 3NLGR4(NMh axw$Mx9VxU9ߥML'یڎz֣55qy4ItpymO4Ȓ4N;^ek3`_XrJzvې90\; ["S_O]WSj}LۍC /՗w1@ !GQ2dj-SZ08=h톄?G ǯw?ٹ.pֻ/?}zWF (ApR}[dJ&J!/;/ZLUNsn9f$0p%Gv\3;k[Uޞ紧yJ)8`',XY$8. 6aL #U%BjݸEhs lT3WV72Βn~8~5m5FŬ୵1!Jcm;0Ia"keji/sN mܸꀝa~x͛Q@ۗ@ |9YQ҆q]yK =q4..wތI ={U1gqka"6BDEE[6Z`mSte7%!ӺRbL>C˻NNwza{y'7`s2.̀eKh׹(MAx[z?]'zonw,^2NX*ajkܜAeP,6D5-ʹA:hc_ >FB&hTn/Ba| x9rc#=?'ྞFG-umEH[rQޔѰR$ y ZCO_Y7͵e.&ĹlIج~snHQ[ځ' ɕ^pϋ|R%42wyg.KhWm+lV_|霪3#vK`߾jnR8|bn _˖D1۬dl)QHY^뫈zm@x?+7݂HQ)"K.#\dx: YէW;i8~^ [ |UFVFFm,,>ћ !Hi|W9aOspqh `k4qƃ[sJpD@M;D+3g5F`/t-TSvtK, |/!#ۖf<%mf~OJb>3',# ֺgm~ncQ SbfC-qW5͎R-KBhc:cѣ~z)-y5VIywy=hlT6P 9Y0{a9H$݀tjU~+戇b+A!4T7V* 'BoMewR6o& 7 Wfnqd3'*{JYq$L!F NM`x]!ي>.V uR ߾TCQ<,~kڎ\=߾^H<Q<Л^43?7IYr(6`!Y8bmef.aj1]lw'o:' jbopWx T%s1 8/S8zX|1=5v^&n^# "4+Aho>%kMPx,%lP!AXㄒQ[;"~`_ O]^635nlfupuGw} ),}ha:' OuPOQp~nsbdtQeObb`kQ{.emw+VnQur.XDf [.PR(j:5Uu 艕OXėdzTD_fKu od8&^# ~ȩ}ھʳQC\cy+joR0 g"#5 hAU3@d$EGܿ4Qf/ozfJx$H1%A{$y E_ٸɣXFgh/`w퀵{:MD7猑ANDJ_8x2'dӭQl>a=",XZmBs4ȃWSsnAѬź \{ef!Ц,bu~z mu#FV?a\4(b2>GpJjSs*rjCIFo}B6S`aZ  QFiP%fSߏN^}rV-ZwOHBjgrF7BN ʊ>VӒr Bib27&:n %C7olBEDE W'%IĨit ֶ+3 ^EԘsaO"a<Dlu?[x}8!FxU/7uŗO0>Is h\;gp/w,[@vA|$1v%Pꓪ} j/}u+ۑ9o\UʏܳFa)A*x 2rph~*t ]%v !ŃPQVdy0~"cͧ~Ď Xo|5X%79a峧R^N 7{6 U=p܇%kc}o(]ܣ?T!'mA4ևZmY=CG1 ;V3>JV8 fzD`C93Yv:ͫ ]SCcx\N&CO(ZCGEAp O̞hb)Z#],̈́Á6Ȣ8T1AO52f\46]UmuaX=ѧ"%jC>2rW B۹Y &L"$x?Q+M˔Jh!j~Jnt#~]>Hah  5UܴYhSb"bg%Lc iP}sJyhȭ/o\nz%Ȱx0յ%gA]FiQBTYnL I9Yc ey5IЬ̫^E4usI8#U(h5EfvޘmENnp ?P?%wuzU*~딲|]`8u`0ϣ=M"u91KթvX{g)8[ zVZ{)o_hvϧ|ʰ 5\&vpGRa"a E?; s^;G PXhƩJ~)C`so}: qEG ͅۊGi&?8F6_ܝ|+@/OįZ+x UrԶ9 ${u A! < /$bTYϖq#7rIƱk xBX:pGACycl%7C ?:bzdH](+߉Wbv<;n}wG]x$W`{v*erOræc .Z P̧{úKסhʉx+.p6N33~uhu}~m%b`>ԏPlo"uA2`.iLe1WIFN.VpmVN8%$JąUY](a:{j;1cf6/7Edzɮ!w:BA7u#`г6`3FhKkAHe W'MPIթ ݈o.?&XG(tVfA>7^[,x1nӂSco cli[+^P!}%y}#2 gǺ59p?][_{,ҶGMcē-5[jc܃аaN(DlETl4v'&x`Ϫ4z 1%ֈ7/BދJ`C{Gm!U fR춫U.m?m+4/}eS*(+J7&~ֶS[s88||faR1gO~:>)u{?/GD݄M4v%)[U(#2`g+FEN8 3"w>6s\IYMpUV_~SG`>MZ+4tO(4ZT]-j,h>>='`_;(s+{?i~뺰x \ 43^nhgï9N{aE!X:c&[ GspMΘjl<=?F{ok3#í7/(duv0 ɝ❙-!9cVfH[kMǗFӫbU0XUh\T൛&omj l(nG⋬VP#X1hHZ,7< Z{"I+lXZ[1\"= Pr">,댲¹; r[L77Yʋ[cX4#ЃcY$NƝsGp7 d݈O?kYfY(H)>Rqr;(!ܞ!ew4e^|D 0s^59(Y@XW3mLc}p_V0*SKt쁗QNa9^;V ׋Qh =+γ۟kw֋W/>)þmmhxR^T7 E,r}Y ;6"w/XsG!8e㧓߬~ڽ@u vTe#nKyռ?}8/V΋" v‰w;_%u ~ߜTpKy`㴭hW;l+ll-70E}޾B.'GOƫ$ $60.mqQ@v{V]E†6B6k  d\b:ƗKɣ^K-kC;֑EoxoSMG` =bGmĠaMΔ"2 70“&5 M1rJt {6@EQ!;vrQun8IpФ?0/P[39D Ԧ{ N rM,(qq&ͫ_ M $v9z1rC־nI]d0=pԐ@==okط =dzj_֫`u'6.j IEI yħ5)q@8"u 0u)g,C?BpxxBӚo7O9ϓmLx3`{~ 㷧SiQ Y  M1c]۸*ԅhBIfd{1(ȗ좈×MŤ##Dݾ0L-a=F&SX?, :Ɖb(O2k bS`)֙JKq9σ'3 M[d)S6;m+xKqF^ލaϯs/W|Cܧ-o᱓WRМ?)WQq=̶{Ԥ#Q!&߻0zM4UR10 Xz5"7wȊ&lh&^}2'~ 8ey]^{4L02E<<|n6>B(f׃',Ý9cf ] 5\SagypssaxƧ74r-r[sU+,)4 ؆Sѫz` Mh)a.d_̀z7Ÿ,aL Zc{V BAyLnIJص=ʼADΛrOż!P>3!b#e:ӋhUĔPtpj Äv(C8 <45V\?% Jǯl/XzZ /5$E8B~ss\eNxm1L!j=7EͲ/L.@w7ł`'^GU%#_Y7c,[+p}`yqZ]skmG`ҜhE9]aj2v # z 'PSLD \ F=qjPbFba!sV_>Tyy(zєMZ<Рˉ Q32B8_Zw,itwFQX)v=6.MXO\ǿ]OQ.lU>L^ufYCEP=6AuʹQ@ÂE8PIs|1oi^%fJ`gV$Op֫T3y\v i/'![+N%F/@3ֿBg1{s@'Ps 5^} DP@q0ʓ`yius ;){R`}1⸖7B1rzS[]ݷ=I6+Oqdt!7iOjĻ; ukp)u'Q"m9`@@eq佼W_F/6[~]/ճVoc7Ճ{VQR _UE!>j 9l;u\[֩U5~it~ы4#X*"w blVm12[X4n7QF7J5A{M7<%"!,T'=Ǥ+g5>bzh`A<暙s,xxݏ7FN~'-x ]`"F'[r)4$E'z!&|ꮛvaL!f2al4R4=O7~ri_* bgSg#?sP6( oteuo$[һl &jNcFu^t- ~zB_ņhs.I4:h ZDevspgSFti~E\\g:-IH1|Z؝'qvD^M?6 9á6jn]6횛WUrZ亨 N^O?Nk_ 81g@0aa7,:|Te"p \䁅B^$`lx[UEz#zӄbْS _6zs:H67BbYSg"SOyk<=@ϾP aGۃ+Z3|;%-V컐5!Fzo'Ąn_}4Ey|TK_E=p7{>݊ x~W'+;Z5qP{WB ZWO?n.2&uQ4ރ*<Cg?Y >s7FG48ŏrcziTq*)E漦:cSx<װaLhMHo􌥫-?8MJQ#38G~G;J4z Bn^ꅱacd~KڤkW#>n"]/F6q{Oa'axׅ9Xxlۍ P3~9)k#d'%`bK132moeuEn]q\ ioB,(B71u[Fu&$ }okî 4 P } l۩C k- CS*B5g[jtR}B*WX.;oп z0OAަt>((liF1>)MG`p+w d5~<{=/&\*kEȌ„[|A}!P1 RY a0AFk4CŸ D&B!7CLbM)[HWC8(|YtEE ]N˹˜my#®'*#GHL;*Xѥ.|~}Uaz%\>MÜևic_<f u{gQq~ ꅳW؞]UP;NCP1?( pRA5YSlu0QvN!s$i) _/\}~ݶৡνm;AQeT| ;_}~aH/W?~h_"rp#Bh: i+r-m=j6%;FSE_gx8X'p%Ï뾓ñ]iHuC*m(r/ I |vNvI5O(BmԐBe¹L0~6`xgܡ)1,h(ɿ&l;vM;oBq=ޠ{c5k苨&kZe=>17a_M^#~ ˰!X>" mϚpi6k)ֹk8'eH0^Q-eG6'4 g<#+N.;4G~in=ыP70Ā"@H3MF(.6`p2R(%>* ^VfguVA>}y?len^z2FŏmC~gܯqg~l {ExsﾫH/;|<|19؈o+AFeD/AIQ O{wqw)p$X;^N8'>͘v) %ghl#yw7>{,yj M4De|]S7-#yR32ތV ".jL[4#~p0co @{vɆh=8+.M$ J  Bϋ/^fO C7-7)6tק E Z8sw; Eo8#MLݘvFؤZ;%Ivyk[nQq]p3U?1al Baq]sƛ(M$5W˺^Lnʨ uLy_%+SĆS L..󽃇됙^6zXHEJUAyJVeHu}lztl~cZ,VXsE]c-&]3DGje>%͆|E@B+u[|#ӥEْSօixB֬z@7/;/K4u!PDh=f]%؄:~C-um;`J넽EN-DB*qny<}s:<A"N(&54RQMIjPe.C *6\U{<4lxhńē'a\Q%vNLJWq^n{Ƌ]dn^dW~w~RoWwt\nNj@?i/>+t67SUⷾR坚xu / +wqrϣ%!|ҵc!ڹlsNQWHMuY)P N#h-4Ў"])E64’fdJG~  MiSYTC_|06ڑC"DZz?hE(:ac׈vY< ]z;QfrqH4>ݓ0E=!ggPng_t+1R,#4~HqdLJ gh<0"U ;}6&Oj$MO{& "'1Lj%ru83/{[rY,M24\hh"BqG#(tX6iq nΜ`8c #Gj|p5LgE>FnM`imup:N;!9 .t&Ucܣ- ]ySj@a/ ߿z~Gӊ] 6;FDOWW_>'=<y4Cͯ[{^yƆ6? qL^y?~q"X'E5ȁz6ŏ*ty9/}pV\%B# wa?޽`baʇ>+f螯 Wױ֛WGAHzQĢt]xr:x3vؑCPtL[5{!7y ` *JIhah6)iZF *#LF~'j4s JhK2 zQPFaaiOJi|`f d_ͼkDWo9G!2]~Q&6cbaaiɊ҉n-E~*{Dst %F[M``T|lܬh@ꥑht%]cݯ*}^v_2:IT`h _pg4p33~ϠH/Nr;}Q+j':@a(Skl&2]vl-ͰLO֒٢| 2)c@8&;SO+V020R39'_&'3GaHi.; ⁨6=YGn=~Z\:V|+帑 :vs~rCWeX/ ׈!eTxJP'/|sLi4`JD7~ kKg^)/9즃ZK/Ә ;Y xY ^b(FHv;x!:ȄJH/?V>}8ȉ|scbTiaKD׳Z2"(MZ0va9\ Ϫ& Qya l8q&> M̺i!gAH׳]7DM~0u-};1dD}7.&o^T~':G(L;]Bl6Ѧ*fج'D0>/筐P+ 3g |Nrwlk?{Swx}6w %$жmN o?'CFG5?<߿q~Si ۿ.|v|+Ӽ"V/ۂA /9]EUpwC+จ;6W*wOK!h3 =$7jc/_<Myw.J3=/c4p /Ohdƃ<#xNr腀 m#qQ:1#wm2"0E{x~@߫~/?SVt'a4$ydTYC;coh.eqolJ&L`yáN"u;hFur^lCx|v$'Q(ͧ%ߤa2>)E۷9aN2'l?7Մ˺8&8d`F{ռ k펠tU JN$ Toj Fɧ؜ (G4bh4:S63\/jImshꉳ=]CaƠ"^ rnBD:15>~FB6VsP{ D M2S:{ И}V=ꪮ? ʌ5]Iɱ$AD}. iBP WL߰PR͸)鍈bK(\"aIh&*UT#B5pptfC(ЃA2$҈l.X`P4`QŽ.*،@8pf|~B0Ǟ^LT F@y}%2`R`%.Y*PutPG}q-h ":U;;[q?%An 1nkKPYpf[kYYip,21T\Q5(80 -[;hjڙ7),ƃµY^";!,| ZM~WudvTGcd:nR)Zn{zQ1'M/}Pƻ'x=|㷨 -?OV,O[4A6Sٻճ7;$|/WfWO~xr_cQs^m%L2,D7 oVV0E[W'ۺeP`?RqW_}zmpkA|tZ}~P!Nf,8:xz\4e6;84ήB툄a:(H(5ی>*4lhUψ"[)psB*2 -# <[#)Уp2GÄ95>^ﯣqQ߂Oa呙q!'9-&/ xg'NwxHvݑȇ 7Gc$/3PI Nz$CRGB7Q7E&Oq\3R XP3PsH瑵/]S,Bk] DK= 6#8k=5Fʨ!fdj3E܌5$9ٿA_H)QHZq8+SB/scj'8*5 ]Mǂ(?]s,W݀49Ȁw#gA6/G3$EׂKut@#C!v7Nd3=3roƸWNˑ!Xa ` mѳEgj.pTgUQ]~KuKmȾHť E>qPc_M 8.,׉j ănI%4!И z\/7Ntv#XD^|4!?a@mLN4U32E6E0fc[3'f_`70?W9&ҚV J!뤱9ZI8Ab֗-咍hk;_7Wq#^*wSA(dȃDU}&MaqƧ0̏gq{7 fI'ԾnAQ zr?=etfq-wRlJ ghmϘ>9>B9?u|ݑ^Y+j7CV@1c59 y:5@DVkYqBws5#6 Fc,sC.v>,!<QD@S2 4V hr/WԵO4wml{jarKz A2Z f1P%)?a~ )(b1y[YZ4AfG8yVrL) V 9#XBmmCEBmƑS wv^ %Yޅl$k /5Ǣpv24ڳW0a'OPSR04AIZ=9]G(oj|;\Xhͪ}V?Sh7-Z~w/:mٞ띊VFyRI'N]с e7V|g8J'R' R|~Pm IšO|rx >9P!O"`Óos8yu]Wuf(2 SoɰD#Ud⫉B1NOF.ȣx,9ir#-r䌃ٓh~]?)vR8&Ze)i_퐘PI+k—pz%U'O_(^% Ļh\Nr^í䍌Y>0}xJ_8<^`p"F?nO.t#O۪hUQ{j|Iy?sbUVok1z0[Ӛ<]OC덖<{!99nu 58^EU9 6Uas~M);3,x}_;(Ο5 dn =m %2 2~#>ʰc~xb &xJ8mu8$iPmA{'&( xk$D-rN5Va+d$l㡻hXTa9hf Ʉv'GsLy@Q)pW5? x&n er&Fa|[? XK>GONNx?o}e1ԫ$ ׳(BuXֱs\ᠬZʷ{n'>QYc$/Sd")it3㒌XRIzθ O.l߬ӼfOU&ȳ4@Pv-5Ȥp@cfcNf| ;v#x9[ԆMB23ٝ1:d-/9*5Fo=;8kyAg1w/xR|4>(X.0E 569kIe=)H=>B#<ӔE7 JR U{ [MӜ!ْA2bMoRMFɢ0e^%0&Znv*_F9lG@JN˄ypXۧOUN5~mV!voNܻz;v:^}ŀO^%sm(y{~wV#.(.$ݿN13:BBpNQ 2g>P@zP z_lV\e5f9bû'MRhFߑJ;Mwn[mx_׽jmpt|U4#/kfwOXp(rx{wp,3֫@k50ЈxZep-"1FBxNGcɔeg\Djw(h E,µ ,)%B<3OŠ<T]sm`Xs*H0'8)p*dzc#|T3cYR+qf7bk?VywF>pJ69&*Hhr=}ƓD_$Mͷ5XNf )9hAwQ)ɘ),`@G#Bb 0ԕ2"ʢ}/RF1Gwu7!ed&bx5y4(~`ƋHn8 8QP1$1"uF/"&^ƘwlDֳ0[/ދ;P@кcA腿S z~4%ܯTh Dlbo:BLUt)^Ț(D@ah:`m:K.hn)`4QU  %L:mό3481'vI\*@AN>;fpjm+Xf8dkcF?a=ŗ> 9'=&nR2$uNZS:S:#Q,vV2}7!ѮA~ a-%g%bC>jdCrFЎmD4yR1 9@Yxy|!ȋ8+8 L|-{IyFIg^DNƎhQ֞ ]}`>2ۃբ(33O_zn\|n+ŵ]s⠀2|Wblaq2$4F2M%)>p69sz?}\4wF9܂7GF9vMQDs BC a ܍eB@yrӳ# c յ9R^02AM`PAjttCV&V+Fyψ2ro"W rE CZ ^˧s7 7|Imr-3 5g=D2Z?&ެ$t7X N7n䭂z3G];UZ.X ˇPA7^ِ:wQ7_̟R;w3&`˫{%`^yyg4P3n[͹Ð{`7/u1@XLQXf6$"!S ݋8tD$ V%3 T'k!}Rn]/˅ nǫ:"wԺ&ϣ<g:y߉ݓәǏW<42zv/e{V)N#w%xN |.{5Wduyj2|k(ë~ v$ȏ} ~թ= cėI"jEќkvI/2Hj{FEN+Nn_N3ؚ;|3z&w)N5&KV*lv@#x5O=fvqv;?3IAIQ E(vh0 y zwxMs)tȔrK9EEq{ʧ@TViQIBޮ7:s;D^Y0hO\Q-/ܚ}x) ̬R$K >O p&дv;k5#&׳8AlO4xXF_{B=!f'g#%=n=9ͩψL^S\Yس!#D$UsY D8esS;Nʺgi~ޣiuD* :]0lXSǤy7ցF'`6"jL̀ _脡ۮ3zx EqɒRsRE.Ö[/}vuds!8;~j~8G9Y[hm,Vx;}wGL, TRl͊R%>o*l]b^I?+ XDXų2Z4 (`s7zn1YS> ,'xh=R)+@/i&)1bֈ(&Yn=p1M̳D'<ѪU7ވabK-1BGhn(j`Hg݃u?,ZF0"; }{ERP1WZ3-qa)3^xQ.~Flci*/Fty CvKSVD+'1eeвqSJPn%ZڃtVkP/|?)w0ŝhN]^graŇ DD>(RL)8:G>_/Fxՙ GoDOVO`WqTݪGzGx$tnf8_oTG+}Hw) ]hfioOk߽>9>fN5ht:E>G7ȱhz07(a2|!M:ڔh8q) .AuP"1ɪhyD s=uG0KEQ5`pk l;YIF3QF@#-RSG0ohj&oϳ']pb2.vC=(yuD?Lȸި/M^$kk9;*rrSp>%D/65Fi Lx)/ mBnQAgH&r-0zp歅21mǀb>Y:j<9lb,4,$P1hLb B0HA(UpBy WCVG i;B\Vq'\ 0m /t=+{x EE/ ݷQ ay,z3#ɺm~;,;*0fRHUl0*#X{0@̸6fos4ág. !6]EK k)O]bJgy4^ ' €". ^8` .NEľ^†-ܸN)q dX7/>*c=͹Ϝ7+-&6+닔8fh{X g"e1ҳ1foW0!`Q#ћ+߀Ӥy_%Ai,x)QB)ͼl'saݩ7vlh?tPjFyvIՒb,5ھ*bKgAzܢńaD<`ZG=~ɓ'QbNT{??Pu0o;fGE-7?}2~-_.;>pbɣN(4*MSXDɈ#2aM!x̠b>2.OWBb'c/G@cAPn:}t_t_(p&pdN!aћ7~ C11ClL~ާP,=x,ʎ!f],̛TeJ}gj>g(ab)ʊᠸ{j8ip%qլz$wrSmZ[O =Z YF tc1/|8/J4ktqsysHpr,A0-Fg.6]O~50&B+&2j^htwc>0#ԓfXGtL,<ԥS|Bw B vpiֱza{^D $Zi2ܢ[f_c]"MsjG1C_hgE{oNtB rd^\ς#/V0H s,hmk z4cB gD=G8%-B˷;*tKJ؊ᄳֿ~#TQn#kgZ[= pIgQp)x~zwbhW݊nz.Aa7mi^W@'Nּ^>ɤJ8fjvnOSEc"VzCk,Ƅo_?L4d/uSJxBR2p_uK3tB[ky㐪Q-Ra((l~_ߣn5XZ9705: ʷG%3ʺs;9^Ւ9#Ȯ󾡒6%Ť,M,Z lDg,2,2>' f@`M hI}HS ng'e>Z$k̻kä 3XM}rIfYWd6L(8(욮l`% u'u|ERm>mmE~Cu#Lu[/ӣgYof|J~ )`8ݫn4:7h "d4ge1i/*sl3;/2դrsҵێGo)::0"nz[ڪ@ciMBXrk*?jjĺL)ߕgf= Wx8ۧf}?I1ߩQ}TKUcݯ&u{fRI)ӭ@_>Zc.'/W'/߬_j gѝS/_Md:䳪_`_~os|Z^>}Qw/;m^:7Qk?0uy}ۦ ~ :A{8g7'|7vtpQEәB\^wm{c6q*}39ս*h<_|9'-O;/~./P8BM4=uHS3T=?v7Lq%S7JZSMG;tcD!ʗOո@?;Y|xn~HS~rRQ0?%CK.ˋ%6*P0?\Q*QTDeҺ/gBY";0Ms㭚lkhsý] <ʙ&=ݧC((/ C/NԔg/<52RT[&h}Y W !{K'uҪc-{G2u +%.=L y g甉7[hjIQ&IM76HLY8 SI /r4E:z&pM!J9i9o\!:m *@T7ʜņ1ڔP<|!!ҀQf,+FFL}hG}mU*^sQ 2oLt ~hW) <M,簠h p`gBhJ8޿pp^m[=ho:mٟ~TAyfiJnB?rQ;@v"W C"6?߯6OoF1j/nWk1Y4@>0M~՛Nm=/j_WC@qr >eQ' n2.aX/ɀft`7G]l} ҖHI!./IL`4Fy]_?gCφN3\+=x butR7mG~Ɖst>]츹ۼe ]hބȮgo맜(N[Iw2lQ`HsOMD6oQ7|$/(QE37Xfv$d(IxSDF8/䐔9A-p4F}Zۢ7&yq\;BnMd=n3nm[t9XF[&TƣҋAQ@kD#Y:N+y*[=ua)V!4{0Ϗe-׊.31Qk ,~YȇlL8$' m#UC}$0Os&h S8@7VVQLA "Qy׶4E-W ᨮ03P0fU+{"8+^tW=Pfz 3uS?uU'5ҨȼC(2n_em"'!֚[Ћ"R0[JoS*~By;A^=7ý<^lՌmvc|С4y/E.2\4V3j""w[|t8 P0z ^E3ᩧ&LNJ (gwy;w,:P.mtfDdlqݖU}O>/Zv?V:E"p?pmT7/ėvQ_>]7Ce{Ч}KQcd·HWw?{hxY$^퀸a0%/<̘z̅r ?`KAu'heWeɳIžǠ%piōѱk d8o~E[~FCȇ.h[UTqVϝ(j7|h s]42hnL:-a!~ _nFyӕGKdC,RV;?ZDdŢ{!Gi)Y%H7َ}^$0E4(Ӕud,ŗrYH\r!kkbٶap7۷B##N;_eWDE׫]1^vN:A^[;p2]^tF|Ô-OvEч)t}~1ЮD k [w:ת;"TJ8bmI?\tHSjrɠOu3qjk`5QcΏ>)E?9aeo~' |6AÑ\$EsvM]KOL3pmiM 0DZr[R̩{~ZѳÜƼ)L30t )$|E>u HG(c44PÚ׉~{)9β, `+7ete꽜4d ~kh.u t\;Kl/↱b:2$ӹK M)ps6EBهyճ6'!*zz=Z{w^B`)0(2=)>j4  9&%B5@mIs3 n ҚYžDR%R')˷Ұ2arV%wmp/+ۿ2;.p)PP~MhATtVw;ySNaqdi8Q4v( J-6se*u;ݽZO|Z8WMv_GK54A2= zE:DVxIRQ%ID><?~Q껇5Q^Q:F ۍ! t>:Z,kA*p:?oWO;܈Q~oGED @Wp罓@K1GG` =qO %bo}vi+^jcƅGM*^s]ޥ5 cLu=M%˻B]U]DF%+|2=4 9bٍ8R*82 !5Ƞ01:NϘ휑?/τ ;|Of!I9)hV }ֽS{gd]&ۃZ_'D #n+Պ&a0$@3/f>pJZzS~ |VZZAƫl6gjW sKe!`H'֖Co6]4F~c -B&Xm1gI%j7 mtpy@dNK`uA3;Bl1yrp rځP t,@@-=S`Šdqkݳsi 1r (KAdG 9YyA!x ZI)FТ(0 A 2 )ԙ23E;J#5hB1&ݛ>&dޗ7MU`h,N-C^}U_@ '1ug?ibODdƚVYvW/3nz02- q+ .0AHl-a1c{lx==SݵffU[ls,"+*"wyg^:_Oj" ̕e<•11ۼC @5uύ¾0hD%mAQy"g5mw'FP֕ekz|kms[7[+%=`xpB9"̬ Hw,۷WVWF/.!;qW&wI\y0Jxp+E8%`,?/WkV0^^\>mvu}tU-S~x޹ssF:n$^ՃI(RӬMpW;oV2gy%(a!i |w,'#*F ;u{~@ zcA))hb<,^=%XsF[sl}&ٷWz!z [bl|3tn>T2%N'(?:Cn|QUtFZr:#~ kk[YNg d #(q^97B}MkT8}(UۋmAL'I1 . ZiBiƒሡ%qB\^<_tHjW/`'IOG ,qPGz'ڎW;Њ{smLym=pp!6bJ~q'( F}SF1!$vtҕ4AJ))7FM2Ծ qPqAsyfw1yx'>IʙQĽw>rҡp+SJT=H\M: ZA& b%?5a) b❭#jhF@o+3 Xw΍oVҚܞW@!{ZAo^>ώPJ =y`{;LؽJKǐ.~ܳ[՘oy{:#v-am Oݫ}Y(ůۃ & yvrt8@IDATog~ՃFNt[V7U2Ya3DpKv.G ѭb5R2EQ7/Rx|CuIك;:U]YBl}pVA'psY3VV1Fu~P e嬵h)OpÅ)sKZuh)iB BPTY@^4In|sQi%w$`)7D0TLt!PE_xк\\ oɯӔU]*i~}VkFOX1C0:O4ob΂`A?LY2Y콾<{Kmyg0o Oޥ2J4&L^LH*L o uO ӞU g3,6?a8Џ`x #F4Kjܺz'!ꩬfףSXE:zkSd8'6^CuUKg7CKABot܌ s+qX/i׺hEo{qSf X ?[m`VR0|Ő2WpS9u`(`ĈVg߸Юi&gVJ@!iITAX?۰:uVLb&9YG12q0f͜)O/ZejW}3oִS(8DjL`4ZtLD":<&?44 ;4`X59qPTQ4qZZ}1~ RP4` =aй4p}wha+ˮZCp }"_H9ȧ ́ѸdB.DgX\ھ(>ಖ:ȝ9d`#S ³@|0ZAx_.sbpxNF ÃG5P|VrϽtۃp^M1y0u?e2wK+jq[n=Gahq=Y˲ \ ۅy._,d㏲NWn@os?%㫇>+uN9=(TBs`5 v 0lj%dz)Lhh2x/ANuDȔk@hYg~a\Kd+3ЌNMRsWedk3^$9PcV~{;/|*1#,c697H'^zGd`(#xd:Le!(#VKcj/ ggN|3fYu`gvbr3Sn>Vysa{> }#%*[u"͆9Nry{0(`K۷KF~Ӎ=pkVJRP>9"J!}V6dp7Zl̈ S0=lx IIOVh  ]h\7 ް$sR6 EYkV}<+ߊXV~BR̸]ۢG0 f޸U-g۷?/?[X`IR]UǛW!4㧋o\N(Y2᧋~pµ']# (eq!z߾ϳB8#Y& 1Lm'8h=G7,>uY YZ® W"&? 2\"V X¡8Ygzk/e%RXn=T8A\TɲT̈5wէ@Sȅ!@V A.͛O\&ߡ`o9aK@{gc!T *k֯N]f5aN9Վ&g:)pHk dw\֭Bxṗ<(0,[M1`y$фYFkۦtϗcI!?S3Y׀eeav"1B~§ (c=/ ܌1 N dŇo4ߌ x)ph &5 B@ A Z iijЌz"<{3g8!6\׋[[CsoLțbkјA~FyuF/?hۃ3p쁃GqAagtbl8Mڗh)oܱ^wXKyonr;it| a: GVxP-!p.vr:Z1;V c/FH !-7\9 iNA8$< Kqx#X gA;%>~ϝ#Lu@j5nm4C1\t84|ҺxN'c NH {K>ںrǤ&A8Kˠw'Id_`dMӠ(b2Ȭ_rltr>tTθϝbj?BFz,z2Y퇧a8䋓'Y| Hu\jYNVmB',VIX8ܕVf醙.ԏ\sGLO~սF>]s2~v7~m|RL^>l,O>xn=M0ֿ*K<9 ?ˬL\d?KY/j|a]잀/;ɣ%BrJ:XϪ;y!F aF}\5O*pU ={Vg[!ڦT8(T ZKaԝȥ+UO<׻(EOufvtk7񒄰}-.:W4C`#$䚗% X83‹XH*εG"a蘶JQX h Ixy!xY;Y q F[Ͱ4JTszxAcr%41vB#53:2 G[f^Гp*c~G1ƻVuG~"AMR{[/؀'?khh%L!.HLzP5zV^7=FWO|TEZKrevׇ\(dD㼇۔Vl"EAQDrrrs4L= \£)oӾà>)!p𧷀V))?ܤU9$i2TϪ?Nɣb⾭ K$ fΌBb.6`cJ,)PBMAd]9{QK~JFzOkmEC^V>UD zS^77wߎPt{i-~Ounk)(B%mwp]ljxQ\17m0wk;#w+%*SV_2㇍~Ӕ/zV#2/%U}x7IxTOe}#|}zY["qPKb.|"˭sq2 JRJLh+NnuFxuPA~ '1=x̋I+]RtS*HUy [>l-޸zu՗?\}N x 1͋)Oo?ni.9CR =.e??EhYr^åp7g83B#&G8<퓧Ux6!f9 1iO`xX;qW.F -pC"' Nh/Gi06 ^%|);#AHIkђf?=EOI MoY5蜥d++ėWJaGO_/>Nnv/>$$ף\gy*7X@e8LEf½M_Oqԡ 1Nx=S̸yy :`k,ӟz3y K0%!QBdTHG.>PjxB#0Wk}PrjnaOswi49;mtforq)NY xyF@x/ 6  !$v42"seE0q>DFh܌dL"bgEfq9=-^nqp]OE4`w9f}30@CftK>L90 JFaAp=w7MVR@B7 N{€4M5bZ`0~1B؝Z$eR$C#ڹ%`Zc0.9tzL+Wj¾h$8P.VW+ -#!bJ.XX`JX-As)!.J҅?ŏi\?+wZw*q)7獛Wn\|?ɧ/>I𷾍kk/xGF!P)!**A.AvVy<yCn%Oe>^1ǣ/Et^G..„w nKqorXF )Zm)k.H89v3[u<6}+t( irR!Iǘ:ngM(Дki"mb Pi*7SݫLjr.MR&4Տv=gµ59KyYMXާ4^G(z1NGU΅ mmf44geK>#hHaKn }v:/*6/-.>_Vbx\Ŀ{~s3@Co\F<9CQZ-X{| =j4I=GIɔ%Z{vKv*#4ȶT=7nzgWR{ͬ˸-z&dn u~`RKg|>|o xn%\zZ2Swb=$F,Ft@sB&w4E4k<A4ikw>F -:)A}!@0W3(C\D3)r1Ό31ރ‘NWg=DP@-N$g1@I3w"A+ 2RA}s\1D Oyo/zF\ӐʞFEo{6C$"o,VOquk#ֺYhW"&<ǬxlGö)@Mp!) *UJ[fI Q4Q=1:9J%;>jJb!s\Mzqp.g"b nNU1ܸq#E-9\:cu޳4zg}BU~u&|9~2]t*ab _"޹$'Uq.:l$ IQW;->89W B +ޗOcp\gØn0(Ljyh_nI|EK냣#/:$pM./b.< Ͽjz5n ~}2ܙc:ufr;se.sY;4C™0b^.%tWh]Q-C++7Ȁ/P"0W7l} o⨡e'0ikW_H䓙N$&m!g3΂h(> `ֳ;8ֹ496AbU5'C[x¦OLU76.6aaAh0eHGԾ^fSK!6KQp ,S%Xjt/6Q(kbcF^Km' ̍Dl)+Dv3S[@HƂ$G g E'"Ddߢ!MP͔l&ZBd-$5 JXm*CwΜ a˹'6B7 7p΍V?˔^,g⠽(Vw1j2,e ]r܉wrSnߡ~GBVkݛB y $B,/MR'-&)uJ°(=I&+~wD<|/Hlo)!fV\fgބz E~p?Ëb^.Zz^}TG1`kƆ_ΕV-ąսw3n|O`?y7(%`D z.񑭮ӞDP{ î J9}V7^rׅRW {"',4  sJa;{y<.T/W12^<<=VPq۠>Q?x=}2Y㇭ pVA lQ0 g"oy|5׮WXm9ٵ25;JyREGWꨳ_ކWKG7QR[$sYî w>|K:c86%$`0< i)NX?8/cus}qcNϚ? c Qz?_ *o!<2펂DE "ncJ ur(@ig^Ŝl"s ޤO1Gx>OTZUFhx(sXپtiewC~z0WVK7ſRW*p^[=ahD<=3x*ɲD&'?i+a|z q92 #0[;r/nJph9Y+ '4ePN'SV9a,:Ϋ+<"vcJZkJ ?*/wl=$,ndZ THQ b,0{RL`M |#^FgvOY܄:vrYexz)^Wks5w:8)b=Xܹ]7`w8wIjoRL4uJ1< Y̓1k?0g)XS yj Eezy2uc%:=܋օ) gwߜLu3|{T*)Vnއ>}DP:|Ӭ+SYbpeb"'I儒 ),/O+}VJi쾂(dV!)3mAڸWj-UCGy0#aΕ~W_'. +PI[䅬*mYm%D"EĒƎSh&HaWpu{럽8y&z `j@}Yxx(K^:Gx})C(|g t\4'j8B}\3Xcxz4]bqwI<L[u:}oŸ_}Oy%h5~w>Fi^h0;?{g?RTl{6 t̃ncF1CC]a~8 —A"xU<Ihn,_ _pm5] >JPؙw9DBEjA.R\RVp(T#>, un1 jek/yu0u%j,*~}mЮQ9 o3x.&׋7{w5ivB{E%/UR}b~qwޝ?6v=;£=bi/3/:eHT= ?Kdf?lexECuO3 a׀K:? G^ŀ&ј\lMiPrcZzg` ㎞(s18bA"58!|9Η(y=YpgXZk622xM8lS Ge)5`:/UɆw#WYk`=lny'}ɂz&e;ƻR)њ61Lh 2AHN!ipk7BOg=]DB)w'Lce)b{wt0I5\--}MXVFN{(qttsR9`tkm 9; ]ȕrx6@<))mshZKr.iVq.^Nc eB흵,!7K̗uAV8'usa +d Q`R^uYp<yaU"RA8ZoSgՄb/| ?:׽GR@ᡰ5`8} +_$ϫ")hkdər]_]{S,$6PͥJ ?)J)puTji5^ﾂ"Kw,nk zkr{ 1HJudwW@͚"xVogM},9Oly0^?{0~=}k }KjߊIv9pO0Ч X]`3t^Y1ڭ[|81}&05oK^x G1"Ш4GǛZMU X\>]C@.=%W/Og/.P,Ns+)?M9gXa Z <{sM*k]GVt_+fvϞ~@_|[[?fy |_eϓa-\×pkg?.^6 1&J;*Dktˆ[\Py|?,\oɳh!NL5=3z׾]>^2F? p 淖T&>ιGQM2Dn=J sHcbv!f?Ɵy,l@Zn!8밖ww೯`']lTU}GK(e!.Yʹۉ[*k!11ڱ@8K#e$i̾to!>.DĪrhfusٻ^9-*8QtvVc$ %W1(J c\W)וB_0,OŸ:ˈU7RjL/8M9:[\۹RX()8 .=^n@/j7aĩfT⣓,rNrs$)iW};pv\龼U8~?{lxָľӺs;1|#EeIpqeG/k==\Ɂ}Zhdm ros{TtiwR:Zv_RVዹ!(W+( 2e7uVj1g!5 zQegtpg>OzYYO0](yJ|!?_tHnnj!A1L)#64Ӹ&.{ =65E .y)Σ{/yN,1>bL _4mfm-)ЙLG."t`n'Si{}~}&"ٺΧ[4,)ʼnSf 5|(r DFSj KyJk_~xcqvpV^b1gXZOORju~g9wKp(gͣx4&NxN(T lttc1j#~ bVʰFf4u1zMH e/Xa<0w<X r7sÕN9sXBK66(aJޜ9mJUM%BɆ* p H :|调ָUDӰZT,M iX#z9bTϋi#}J:ؕtKй8kFN&3YZ`3NE`MFq!inXrLck. .MejbJm1aFn1\?j0~ *WVa!`t**YE$JMz^,.Leb77 Ԟ&/1e/_;+{={߹Ŗ;Ax H{5=zb&U@`9&RRt7ę)`{C62S/tRƈ(v/)=ێ@jx#*GdqEȗ]ʃ^G̯Vŭ6KII~ v¥,t _գ9.s]xxGe%z)RZ9=TF^]f:xq\nKRoחBoi:[|fm?+'D/ wy/5ZKb=|pSX|;.~[Rny$Qis$7(h;歫G ^RDjQ|)-[^2$(z̒ r %Ss.G>>Gr/Fq%^ /+?t󠪈k+:پP_S-7B$L$fG^Mt7(rjj}y"vS il}]p!yBv!}/~33M&2p2? AsNļ7ܕ[0y,M IIP ^C>'#Lk øYx$ZL!}5g<i5{dJ>-o ީqY˒! ý9*geBgL KsxnC~wNqs߳#/`$̚7]`V 6ӢP#v c|~D˽3 )oeE޳xW7\cU` W}LZ^BpXsRވl67@7œ>$8 | o iBw^,u!h\5/V~7FN 4 Tg0R."`K pW*p]=ì+))>furM>Oq>/o wo߾Q~󍛅V깟7qrNZσQV7Es?^{_N?} K rDvn/ WY -) k{'BHutrD͍1/VYe8k%>OIiبqGn xm¥[ _Ec*L8Cc\=M~x(cw/w| 7.r+}p QP  ebk.e k< #H,^;sACM4jxy*av`ggz{ͽ"^5 qBMmou-cN/;rOBct#%~4His*B^?~Aqw~닗%.?MRt"'PYb(Oxmn<:8#7ࣀ|9*}8}e0ֆg3n\]`y oF.'wjU'>08K1e™4fhA)Z3WȓqG<ԟxJ}B,/.8ztWy2:œ gyǎ8N@NңJ v)2^crxRE4뿹(Z,=zrGÌdZH.;q⹱.j]:x@IDAT2dY T ̗ /:1>/BN̔PwphG2䵕mhPp֒ѐ^OzrB|V@Y)ph Ah kY^1Pw!'n2_aȧ1 ZEsP50K.Hj HiV<.t.;˘bYÚq/̞ .*0L^]ܽK\}dR:Fh~)iL~8n0]vA] xmLb5_5O'G8٘uk=S)@]Y|)s"-fCcpk:IJȴy1 ¯ጻ]sYui0?D^O{7KSLG7b.BTl5Vi+||Ä_-b|9enJaۍȊGx_4+bx.:SYra Ok ~Q2?.z$䤤pGTx1o*[vIJUq3]6:,O>gTWnJqUyF,pN.Wz|c`#񰵪p+$F[ʩyybÃsDG`}1>#7e5s!]L3cQoKp@\VqO}jؠVxJZB|s?p 'gmT l0%VOʕku.c9l̑/7>&\jg5ă434to1< Xȸd95pt̲FhL .^6ǝaS/"ѣ`r4k WIlO`deD=(g>X|G?Z"[e#I[ic&Kض(XAOx|ţ{\**+{*Zsm\7صN]υBQZ\w;>&a^=Bӓx@Y_lOSB(g%С%:gɲQ=lzM1Q0PWm0TlFT u)Y0<~}kZ!̫W‰5۞5JYHRv"hĽ :EW?h Gl-k?,ɔ鯯cBJb0Iғ8jy&qGMf#1A;ϯCk .Bf)?hABϩPWٖԴX*ȧ.Ԇ"VuufxN'J;.&5B/nukR3w/.f ֲT^KF-e\$M"^u`t fu΄-/f(BI]IJyxep~q=qo;:wO0Mb_½!hZk. )r]8GYrKR ֜sDڔ Jd ~s?juJj>^Lعn|tRBGh@xf .4KU]Bˣ_鞁|w߽lӰgr{OY{22#T|末΋Qg?^|wjRRҶbO$I*O|p/!`]߳ Kye..Ow޸04Y vKVxb2jpO 2(oUҭ]I~lE;峜(Y7--/ 8iYQ$F4[.!HA0!#0yx '&y/gGQ\AmܳQ[wi<+9/%RG4iW96' F6 wƷ\{O&q\p'64&Ԟ50XKz;^l=S %|Jdp@aEO4ni?MSi|/w6@Gq_G7aLj40k}ԘqWkbgt p`Zz %w@j1K=KƈV/J `uPLZF})"HbpmL ppE-nc^G}6kz sV镀gCV<Kjn.9M>\Ӻ4 "ttoaczK$HӇ;D8p " J"euBc%('(v%jqʗ}璜'IIS &ݳXM*U2n}+1(n6^Z粟"@dr->Ϳn{DXWm)bK:Zo뽔߻-wZwFcVYbQdrͪP2%tgkz.u/A?xQN z|ͩYV!Ia>;ݽu⶞g pV,e5sx/8KE^YP_BQH6NpsZ{`ݗ34?d{_>vs`tRlwEW$c$q0ϔ+ uE<[N/+8E7H¤>.`L ݹ 9oB]xxnsHlpKV†OH5kg N%2?&LS۟QÙz$*6ɺ@1-YR_JZ;.gt/B¥p=#D{eɿsyq}V;!Sa~sG̘8L_ύsH)o6{ }ǻu'p)0I=gt;}\㹕%ͽ 3G1jHu-ɞ'W++;kyJW >y ٦:cQчWͬj>cGr|觿Ʃu5=''l4h۬ϺQ1j H <ժx+w|J[qngv,, ?tzW,߿pl)2h=疱\cMmHؠMjmƁXPYkrlV}ksm5\I(%H#}nn] C ?w9'eN\ )V(0EcOZv7 d2jEfWN0" c1K{t 7| .uAL#?d)-W2ԕNrAXLg,GŌO6ڭ@2r5ĜhY2!mKm#tɥ՚J%701L*s(Ys b*q}AlH51FD;8G-H''OGJBA= p0ٳxw a^yP Ğk;g;roFx^Rύ=9~xzb\rfvQ)"G_.~~6yN]˒31Mƭ߯/>|^yﭼR$nU#/fyO~ҰNkS`)_؇xeߨn\9 Q~w; WW[]۷{Տr3O>O{)An|nƵ̞=!;$$\Vbg4,:޺\,nğR^m\hW'=$ q{!ď<Gt|u @P2ڣkL!`(Q$Xqm+bG&_ ҅ϱv^E"h/S!v{'V>=|_F} G^dT^xx%sug{D))N$Z))&(Pzͱd̬)6 R,^J@oXpR=G) K>1Iz,&<,ތvE4'e 8== P{zh&%XkMX=F3shsq76~fi>L {3 yC5ì_ ~uvxRO.>-~?+D~1*B صk!QtM О=t'.4GՄ$9/g9w{΃LM9Cp!%5 ˛b3WP- / v0 X(py=u𝐦i6oA<=I2RNfe5aN?IYR %s{Zk/ǿXo,O?_\v fģs5ГOt`QC6 b:M,Q.4!Op 39VȀ ? .܏GdJ9ׅHl&lv|o6m/Q`dT|K'%xcp{/@=10 w˫nցhSҋh'_R c:5Ii,!;c3>1BO"Szs$3 Is_;16a|zMҥ JSg.\υ~_N,R[-vK_u|RIߥL .?B o3>qOɅW.t-o{WQj?/x RB“W+Xrw:^ycDN*aWrPzR-C0\ߏ6 0UB%3< [ Wd Iry!۰0\ȼ(KCFAFK5Sz$^;X}YN1~}<#e)i5%10G^8t4]=A!PJn|/?SxD\%AFJph;e]x֘1kn~&7uEdp9e!_SzݯxOH6|]vaǃe9!s3_ 5^ICIB>dp~4sY`[(sI/wSyӇ[ C}/^99I,_.ۿ.~v*w1. gYbf/MQ+RG6IDshaʡbʴ Sh qA~%U@fsO@ϲVX{yRdOː'9frBJC\b?[!dAg(c!gT٣5rVSuU׏i,Kl'نXצscVw{L}4F=).1;y|1#=h5 = ys`|0g*31J, e\cW!_`S7}i3 "9 r@S>C&`սGu*?/xjqiBJ'éWY B=~Y<ۅ>|VnN)*o5vQ dku_.Fҥƥ-.{)޷+d /=+_e@㸃Krm|Y/ۙ_×~jpR /˝4RfWpya//yH_辄ݔgu<GH0I3ͺ⽺->.EQ@ ;Q& 4bP&"j獎c 48]F{H,v8s7z:\^sp?q3?xYc[^l;nLެ[kA-Lnq}uXdR3@H7օW1ǀ=wAG<@8q$Kb: =a՞hC=̓ik/Q+"0/Dm\0blĈ/#`+KbD,u`ZҊ'iXMy|cbx|-p5J; 0YL\`eS.%0GdŵV#9&f)> n)9ա 1>뮄1;2 DfoOͦ:ŮB3;+bZޛ`T[fVVs8Vk'=eFbud6&_ {uʒ*a[BeMv\\X2[Rr"Wn}}_)sF(g; >wߕ4'N߅95u^-Y(B'%"sIm!!뻦9+;^ ooߪ+oY<}[p]f"wn}#&uz#}E?'do\A]ju\*p}|U>AG}p.^Ȋ!REB)B Bnwn,VIRfm˜ߏQ )Xvy.SIԁ>%XgMIO؈}@Y o|p8p𒣠B2 [x< ѕpB#n\l.yߦ6fАψaMj!ƸB;M1M)?DWx6B`Gdܿp's& #a<Yl,4v|MKV݋%\>Ip$Gi-L:mDeن~zcx=回d>/cɝC0OH1 2^IxCa[:oxg\fK(*IOJlXlޢ-Ug8d?m=5cNZ6Y~: 9Њx(] hlymɺ`ňA#Ċ*^+!BF6O{'8YW^Nivkƞ@ vdI"?I:!Q,b/>/J~/->t'vL,(pwY :6YpރVsnQf;+പ4&qV)|i-tLC 4mkŦQv2m!)=X;5@LuR.S.{e8_|o(Jj|{Ua!jm/\~uk:!&\ L'XUX`w:u׫^]NT54ܽ]p.\Ly~dXӝuye}P@p&=%Kn[Mr|6\e97Nq8Ҷ,YXę@̨ KU3a=}4y!s8|#;qXj”g`\Qqn)[{nEJ>0&/ߎkb)"gRf79D!A)T2^'`'dU۔þ㍼uTSzsɵs/xcxd(2GD۞%2Sf9f!S,g$;`Kv'Eb>\Sz6O<:9 HH-Q:G` BT- i# Ak/.o}{Sj+^H (<)9Zh]^h:+AM K֎"r1pp}F0'\h0(E֔>&oڢlVp섡 \}c߮ׯqhuR™|o2 xNxl3`o KE j!!vգ?[+˒ nW!- Jg]xZ9SbU:.  *_kYqݼh' rn!= nj RKo ;@f1R[y !m++[W1GF:Tedv$m j|~Eu쭌nyEcӮk"zm>ps\㶂cGi)Ir~c)$VQ4II'XAi,:ȒOi sQȷ2jb0km4OfI9<%{Rtnx؍J P.S^f֧\#>Ŵj+܏+h## Ia VQj1ئ6.G:t-"D`RvG}^^I{ĽW0aSU+APz/0 qyzlk%&>#,|Iݺ>|.lPر):ﾝx?ZCTnş쑷EW+d7]Ѭ w*ٕϥ,SqI 1Xe* >*mc),o*蓢s0Х秝|HeOfy: @3N<φ]=޺k[f/qoeQ3)`VXV̏LjGγ%KxU[>GMd` 7Gs-Ew M ne}qfB#6;4|z;Aӵڤ<5AFQܽ?xؗ5YU)BpÜ])p"e 08 "sD4 boӓy받 K>9b] [/s|yrOBB AzP u5 Ri=WUd*H[R1Wﳼ݊AN V[u/z"S55kwڑ-SQ6PQɖڼ(O?/?4#۲ 1{p>j4&-wR%kSz,n 1ص4#w`?ꐑuZ 喠Ղ$BʉdiX[01ڟI}tirX2_µ,O \[G-pD JuЎ$E̳9MJvY#l"!m`>c/-bUL]?^ymJ; w-2?i1~ʿahwR$.Uy+R"Ci)M'L>a1nbCmg 147Ixkt{1[ʀ6'5|R22_6 -t&)xM0PDFʙKT0h1fA25cU7uhoSATʧ!0yYg;3Ҝ09_пxʅOn,^RnƧwnk,JlOI nws-ֹgk3Ϟk6?ǰV/+Z\8n dq'ڵ& kNig!~A/u<]+>ɘ/>%ˣ%uߨ'y;up|5rbo4&Ьk-*O =<Iq/rIsPt 9 H>CL Vb\Wn/.i (;Eէ܈J"A\c 8dvC!P!$#ԛ[;YvU"h-0D0DC:Wp u8j?Wa~`ynwpQYYO%%;0qX5 sŀlv8(E)60h-\ʋ>(}`gɒ%!`qO2uṕwU_ J<3PK)d=L4 qR[` )װmb̓1?ϥ'9JP|ʒGC͕F[Jq 9'̜2ڳ|(M1dMϥ<% ^ػ<>J)[̙b(G6elk5:[ VGn%DOX(+]HM2IVq}fefd`qcJGkɳ)#s$TV;!;m5xtW=:t>{j}he"+rVOxo<)((:00dfwX;{yR*s`2*\Bjɹ0qHVΤv5QTV3gI>Ǧ>aGX[k'm\mg3%igX %n^8˿ogO;x1}66P&3GtKe)ڗR54`lhc'hL4B1|\Sz{|{?^v'`'%:l kT?~%N͈%u2:L)%8C (,niц wZ[CR+ ax+ zѦ\}'S*d'HROZH1iBoUM w 4ޏz!wV",򦖣\#0˦T\>ʄ'90B:l"wo2[*%5~Glnԣ-BrK)!DJ3.vF,Ų1-:T$D@KsJ9 =0QLq!(ۙ;ẔRhGA;4bKi 0+M6iz#h C ,ܮ̾,ᮅ «'(  QA`^@]R%Ͳe`_ϊ'xZa tJ(${,|GIB@IDAT4Obd{!~~w>}V|"`Y^y~i>-oZ,O*[_i^)'ծ0^ZOs|_+Ae̕~LU|W ~oym\8(4[r툈+%t0 -+o*=#9>({ՋI^=ȅEG.ږR=4 l̪y>5w<жP4$`Ŵ;&X('<B{[f7Nk<y Ѓ {Yq1*y<'v%Rh''<{ }g8ʎ 91Z3)&߿üaaOF8i"lƢ4iP~c0S wcԃ\jnKCt5eEy&(KKQ3@aS4]gʛh~^̯uiÕzJo m֔@34٘W0cBuCGp<Ƀ8sC*P^^8.Y<_ӄ0[k~)g9uUUTOpS5/w%S4>;bl`plNa T+bb^<p@S'௏S(52cj-F:F7sqXM_Db㰨}eZc/q'I( 'EH 5']xfbop/Qu\jBq\,ɫ\ޝ3*τP5YU49&MnMԜpfpWh)˞ϋJZOcf`Ϟ] ~ f7\58$vN?.y6۲FcJLãà$S) ~րe٧ҢB`@kͅр+P\]qbaOP΁B=%= _ Оyu_O|U/4Hb& .#Ɠ6cp}KdꟌf,+FgkIڍALlqTT*me8 [ln,s%G-vݨ{c[VL1knU^S1kJk$F")pcKH$lYܯhòiGQ Ą$%I ;)ov`_v lvPf _Je*tk˿,'_~X 巿Q-gXr]b=xA*)MOrʗ+z nߺ$uNwik/n<'AZ|Dgm1exzL\ 6\BgNdO ־И|iBG%F{s meyOmWP3爑)݋9Rk=qk~6=[vδ΂Dc  ?=U-R-zL0tAi&v؛u>߼^l4yi>Z?A6d{.29u@C"&0aoN ye* GSvwzD$q>PIm &'Ɂ/,߫j`[`b CUO? [<|[ u> }iޘģN[|%YVk"N᧳[-?X듊|]غZ˭Y6BBS!ANc _†EЦ Ya9'[0ftD g@EP0$ɋ  mLrXn  Ǹ9/i?>4s!O!|4oN9)Cq:Ɇ2shpcD_͗N{Kx>Ek۵|X =S(u^ FAH y^2:x$W0~7:)1R\[ĬnƇ2v4klwU|=IaS }?eoVrjKeBFa>P ts>cp`b` 0IrqP#;'US{ XY2'y3ҝxwxV*%w'nt _)yٸxwlU_LN u8{A?;j-{|wÝDbe\pAk) =!jzǡ;S/!B2eHO|6.C( @ Sήzq`_a>b,&dP;IڬX1fm.!8%~Rk vXQ6fuK*^[ܭsHp`# Rڗw ^ 2FvJ~z[ſw˃nygO:"4{ ס-џvtgk%ܽ~݄/޺oN6)1L))Uˡ7l| u|ѧ0F-~zsoW$,*dk:EZĞ* lꍄäDF W<-߁W谘bʌ;Ce{o+YxפuF`<;\%KQi)ZBf4Zhw$a{+ -B'p7@P?#O=]VWj+kmBԌCt+֊@vjJȞvS 0XZ:Q )]ۮ[KGƂv)>)=5@C{Us<, fVqi։hغFsMg<<y^SQi~UZkTs+&JׄufgIy/ W/QqATO?l tC.Y|}3P|nR{޺wgG3gz4y_ro+cyZU%Wú8]] #I<9LnYG^oT=ZPQm~_-޲uFrRk |- 1A)O٬yˀ3^RO+{)y갹\~igV_G)nN䝸ҍk +OkXۃ/<; h: A&WcXTXz[!~Ȁ:KnVIOe;@580C9 gq]c9h1($v̲>8]Y: I~ 8Z % ,DsE R퀳,qSqY%Akv( 5s5K0n?`3pOKcABLcVK/MhrDŽ8!,!pgA6MJX@|GZ\tPrW%',-b5gWCIL녤`"!1>G+/ VaEfYP!`+:DsTsi2"(n4-|IZ{'8g]sG}|V_y%pwWT4<ud/fy\a+U֎WK߁>v vƄ4GS4R[O"\|koN/˷2k˳%@]^~_]nެ,ooLs3q/dyWW^U|~inP {eاg7^ ZumWTybǨsEjo'Йw I6zܦcUZZmwVk)T*-Kѓ?IMn^$Sa``Kq<4qNa_A R^ 5ӝydEv~ 5Gۅ)6xY>  <8ֹG or =דCi- },g-YdfVFٕ=_gO?Y.٪` :;W= s GQlͨiEy sȭ~> X|@Skj`~|Y#HB <~b~j{Ӂ{uaiJ&1hM&w`'cCXm2l)4!;K9[c8a=*n=PL$L8*Ífh‡7}`6u">\(<:AYۘNOkJZsFB1RYUc&~ޞ b{,nudgJAv#j½{,*8Z_h[/by70*'[{ki/x0;Cj?+ԍưf1K~۲bCtg>8ֵWwζ( 3x8! 7.wr# bypj'}RYwLPeNJ&;3֗wxe߾U2: ڶ#F^띄}V=N X]o;޿'s[k`OTb]g~9"kVhe~yd/w?\Yah5Wr,^i0Ao G]cW`EVl) xLq7[wϔLviҘǜhh4{m(-+}:f5dZۘf)`Yf Bՠm+fqnXn.}C|sYQ0XޜނRic cICNccQS4;˿%f[~[o$>JK7Antbe$Qhl% yw!-vk7xuZ{'Fjc"_r3Sdڪ8eHhއI f1Dm +G:8CzqGѤC8'SJ i_ƙ]Z@7KIS0+'Ov*`˶ze1z[忣嗕O~?b._||b”5StUIY[_}{rW[9>Ò*z{ur JS6#»S>.~{~\{Z?o~=&Ӊ'jمOHx9%+A^o kчJw^PSOO;wbem;MVe[b Z[ `leLGobOKìQP(ܭU[W^ wͫJ# 8BW*{!QB9PdPc?zg\yx \um!!egFJ"E 6a9el;CƗL${ 5dD+gQ=/}xCj U52m|N3Abq Eͳ!Jm pBO tx;`xO,3ޕ[TU 6cMKylxpE]9ۨn|\ gFd N٘5?1}E xPOʬȇM 8pupEX]vT`©sNVI=e| i9Bv 튛O(=A nž.Ȯ`V0՟e5K/dR8+oX cE`t p0B+HefNrcHQ,Lg 2.8a¼~ Й|%՝pX)10@`< ,Lik m pN7Y0 ?&IP5.=ih%=Z[>6SqsIxSn^`yuNRQl ̬I3g.VmQ Ÿy5p3EK 0'7fY$T=k}gh}`SM-jF^ 2ckM'C^bBIL30n^AQ. Y+JS.W+jnoOour_}T^ab}Rr[q;%]U$jIR J(4[?CWqü,;y5T±7_Ѓw@c9n+f"Dkp7Nj=/zBEDAK}R0^̛pW O 0p>-*E+2<|^]o]z 8OI8nd7ج&Ww.褷y$o\Ȉ)$Qv|9/&GxpKy9`Rꏊ[*W̼v&0MYkN۪=lKL֨rX^Y_i|dXzB'`AslJ}0tf3(4-< &pp]\?{1f jib{).J*IIvFU1C(kCX \i1(cdMѓ{7p% 1pZcqtQ^ʍ )"ÔKyX:.YߘɍYU#ĮU ?Us-)_ m& y唼 kLqpiv!.ᙪ *&"C$NyGڲkc(c )V m?ѐVg%qqcqa=f;-`}灢:1R ^=y0y{dg@6RH:4{{.r 3g h}PĵXkx։y%zF;sWϛVC#,!&긫B@8/[/ʷwUn-wB\oW?p jAhkwt4E<K;OK0J؁kkn:e^\μ ;/1uQ0lUc]_:(˂^m^ c#YZ 6D%{&c{h`jhLR1Ì?,OuN ={gPԼS 8fv]5C78][C4/̠{v 5Q@ln׮GO+ (cJR "VJrIYA37h1rLb&11eA~Ӻco? N|)AfE(w\\y1̤X@V4(VBlY.sLsh5WJڣb7-MVBRS_}OzY!z#v)Iۼ_}|仒򪜶y.nKyy)rp|zy_.^ynmu^̌se>l:q0F1nUm|X*\rqµ3ڟ B9ay k4)6[&ё`P0r.=oQhf%)(hu G@dI,cp2¨/# SH#/=^QV5EĭT&7k3t٘ _{'\h}3[ ϸ5DW~O-fJxڴL{e{=Dc2E vفafNςe5Ƅ+.weds# ygwR*\{ ϊ{('3Wz*:O<+k_xi(ɺ5$zg 80g)ۭmrl|\9!4ufvfLʲSzb!Ex.e)]3]76k;UgL[ '}h&vTYwax,w1HbNN}P'nm< (a=>XõwΣ TV*hͨv).`AB# Im(idHuXAR` oI˚xFUX.AD& uϗ17̤FMpk= Y{Η$tRʍv;\QL% j caM;&'2v^X"!QsLa0L>myo>b®(AI*s%2ںaAfl1k͐>xBr.y Ŷ)"Ě{^se,Ϭ#UBe*3w/:ړ=.vGbHY^[3 bb?UBO Acu4ޅSfjTv)Qk~-8 }.Agw=\nu[%*ggd14DD) /bP ,`" zXh~ƌ(u!&0'\"vvvڼ=̍^phwN)f%۳޽}WJ>ᇅX3ao,>+1uG?Vf-:-oA8\U.UWz'P>,yɏK89D_Ģ%}#$n=cGM^pZ F=; bB5>38("g7®B9j[v  im,|bU$ZQP]5O턧܍TI FrF\dNsQ_ƺS^91\kz$Fi=)&%l%/{문~hs-6 ZyJ)]CzpoWxrKxA>m?knM״vzS//Oz@+UJN%Lf2cS&|:#_zS ˿uu N88whM>Ap4) ߋIm|[ç]$l>l(SQAyIF ϐbi53v^qsx6p;ñzzM.O.GZ5,O2?@Ɠ>,Ԁl <_d?`89WsCUxh&1(i5Q@ ES DGa?0AyjBCVܸk16Y3(Y.Vۣv+1<뙛BCS:y[|Lk1J*f*T<C@sm9Dhudtf܍`%'651`gѦ9K%;+eQ_F$dVfCuHqѹ }`iWsO01ܾؐsPLYl ,n1nZ1B5 fE\ͥ,bl] j8_e|)S]wGf]'"~c ̶Vpbo>JaLQ9*rNNpЅ(&B`=kS-q1B`@I˧>_,S ՞ݒ9*/R%J~we?b!2N|B/۝EP`^ ^Kl+Cvr?}vo;*m\=޼ݼ}PRXEKls*A W^B=G^sp Syobb֭c"^E2J\)v?[| nmMWc)KSK8%p0ZaSo Irȵ }(_LFN1*V!tHx}yӊ <]bY3=Қɿ[/ֿ߬~62p#RYItܠa o879ӵ,}V59($^5q@ W#J HjsG# eyôsZڦI+Ǵԝ*2 0GrOƊ&_{Z/H*>QҺ!#h x9hy)I6X YӎjmO0ix+,hA ͛Rq Z>qZ!FIo=+|ֳg79ܭOvsgD "镾WD߸%]mKEk.@ ̋_uջ!LcsQ0؎a'uZ`\qb_`gܳP6Yu]0*XNz0܈%ŵ/Wȕ.S ( N%+˻o/ ~n􃔜/5@^>{vewg7η p.A[$q'W^ܾqI-?79;@^~m׹f/UO>7 _znQYΝ"WRjB!O\Sb?Y3}vu\`~bt!Z wY:9lmo9RMR$T!#_i C܎ms:sU[NcއU`\T445Irb<faX^=lg?$h,4IcWzYuKF7|?Bڽ|em,評*u$c͈(lɠ>VpqBneY,E V)64#X1B< $ 5_P-ĬEլݝ+Mx GIe_=￙{Qd,4I:VYF'pibyXvKkw7^y [rOaᏐ%{a֑5^X0Z1h,YAסTvӱT4' "F 7#xg}̮=<ĸg X4f/; ~]31N_-͚zL9fP\N)Q5!eV# \2ƌe~n aW<ۓII7s NPN+) 'R}hqՖQ',7`1gD!2jpۢ7g-;\h^ы[˯ nMs >#RVci5D_cS ‘09(|<&| .Px'/ppּq=ٹp5DI]OV/x^}jVVN^GQ.LJz9)B9) /R2?X~I9_+8Ǡ43i>c8IdۢPg2V%+.9u^ 1'?x +-9m Yfm-+VsЙXc ͕X?mYu.sn2`i,pe}OfjɃ<͙dq6/ %}.71+ٰJSu]Qϳh8N5F5:yzڟ;K EiqKDD4^`U`.bBAjUSDjSyVN1Z[gńح>JPoM d J.EUp)I9 )OVLyU/BbbtzvzsKI~rwyvw~cA,IgO;{1;E̞+RS747pA?%N l4잯R{_<]~nl+^~Ã`|זu9h |/mj@n7t)3"}UI9(<[v?<[Ϟ|XJk“ԗٵp=F`jQd#Ia'qtrH1)Jh?s4,P17x+V>܎פ獧N&1OF%4m6_ň?5`DÝHqN uz}՛>j﫱 a4|~cٹ~k̈́`5}S23Y}ݻi띰nser;&e_yɲڅgߧǒb.+u#87a1&cvQUaBY,`ZxKk6{1 b}0.-vDϋ F2e7# ]% [)Tpb\ (%xRT,#bRSR% )ߏlIB) ;qF `8ZIM:l:ڶW\,.qP̡iFi{bC Fcn<g4+G Y907%P$~D|&3>w*͎6LYo|܂'(̓h-^N cdvZεEh4(BXTځ^l7't-sgn2\\I՘'f҉q}w'£k+O`fx 3틍İrS玂Sѝo<הK&ry a X<H[B 3.9VI~jlHEB2 u;J"P ݧ_l{3QgazWpϗ럎~k+7_ߖ{^ހJǿ\u8Q[y,~m[oUѯ{z_-w]~8yqJyb%ZC籟f&Hc|PϊE`tnA~|\Db Hs룻(_;;)'NbKNo^ U1LVTcD':M\_WxBJLVBR n=! &Ìr3)@ϣѩx ="' 'ރc; 0?"-5OtY" UW ^ڦh]_ h } Ҡ 7C9g;@$]0^Yy٧O@?%p(KGLyD m#Y=@:lo~u:Al5d#\ MŜRϟ?^~w?nxis ͌vfޱ{t ֳhIȭYK7ψ,H!Lj4xpY_*z:x Be^1/ 4غ>­.2R{,\5WcaA.(!v+84~;ȹ]][ywN~͈ۼ84$ߌ}Z&4FijmW]o$LN C,'ɏUjduh S >wmz1An Cb0@&g1q#܈g:q\=/Y!KN2DhS/8hݑ%XtbaV!zgbpʵ3 .vK6ΕH ,ZOyOAs> )7`1E Vɭ,{+_^*mAф -Rf'ccgqχt\v Ѕ*Bi'>,~5,AuYVI%E1g^<0 a(_ {0q)ZϘIZ1k NR|(>59K~%4{1`tU_¤ĽJV0Fu:x-y/+lEO|OlvO3{w^|t/0s͋pfiH_nu&W|8^|*Ą+cOwNk)q>-9X5{?I ~՛PNÄ$:5&59M{OsʨGW|HM9˩okD7JpFWc5s~tW†;7vwmBD4'y!I}aٷ;_,o]zWeҨ02;CF[>{˭#)t$G+QI;YWm;C8:ZPKMn݌M?\W ?>(wI/-˝ K˓t|arr;#֧w]R@gc $dGk4^ʓ-؍FD>7؍lUc'`-޾˦Le}:^Ԅ:I<+0QYB6DxЊ$k cZ&`l;zBxY?G:ᝆɩ$u(׻k*5R0=[ܓ24G.2 aҺ-J ɁۋOiaZ+9΂Sbݣ? emyxֵ˷߹ܿ]ȍw46{[eWzM۝g zzV^@G""~uwU /Ǐ< c. UoM/UGBV޺GR6wV$p0\% Ry~dsbٹ_Sq40O υЬg]lhy +u*ޅ's=;kR'5&SFbP":H o-#'AqpZ4/,kp=+ 3T aڃ{ _hׂ4F`sKs ^Knp+?!"oq 8Nd7UwxrI:lmǥ~>I=\ оغKROX<kȮ[ysp. G)/S5ᔽ` ٫Ez2ܕ I)7Sޑ`IsDlo}CZhjN<Saxe\Hٷp+> 4!;teC&/?3ޭ}sñ^kcl|y⇓y _INnW!t!rW0+Y{`rGgTca-pq%FvJ(#Gh;nr&iH:?ڠ]Q0.JP/ eNg+1MZ^gYi!y `;!V6T )X⃳эy넫"0&.n->4 J8pMcϟ&Y]Բڽws1r/9Bc V"LNc>vBt2ɭվ˽6vM DxRB030[n^1<l0!8=~k P1L.r zE)B2i\J8)V JՎkPJ:  DB}cNpnc^as|}lp`Ǻ0Q B| 7 lBXf_|,Ԑ$y"l->|Y3 Ϟ3WM~w?P{u'S1Ie>\<)\Y,1y %\ "\b)V}Csp Vxc5N?caMUl}vnʃB ?}dz0~gLJX^"(vg3S(d+bBEW_btYfe,,[b6H-]b\܆*GVWw G 6$7À(BOqӝX_}f 5"( +)k%PxPR`O)u-a,chv20eDbXкuww~c]KO^l 9Ii<1hq&ս握y*8=Ϙ=.s/iJ7RS8I{(iў{^|_{ҫ]>bi!ƯNuZ|685̌%Zu?(ǝR"*ހgߖ@Fp_ dnZSyA=v9G`F9my~πfr'sxKNWܧ]vk}B+]d+Cq}[e|ox7[͵+t2u|٩lUJx}YOg.ՌK4О-^fI.EYO|70sW1_ Ie{LZT>&bM?L HHqSj 1L;&ibh d3&Y<;٠ӄBz-)Y-ZH7\^% N>J%*dCl&PWGoU pE gQfr7eRLZzs*`3I} JdBy{uuuD'/{ {>e"WmlJ(>.BeUJJ2c'2%kA}/z z0vP >`{IkJӽ9vSn$$`P09Jkz{ @Uu:%3 5UW Dpsx{i}K$@Ie9J׃kb=#=xPlت7jQcLis9߉y5}*Zox8~=6#ÔNK\+ BF\t~xt\GߛU<7_|bv x/OɅ}1p}=|5::*52+^wmh6j.[<:1@~T5AGV`/g$ƀW6]o4G]60^/—§tfɱƶ̉:5F Ϭ50g4^OiŸY:ˣ&̵ >s/:Y ᶾ in ! O{l .MO'Xn]9 ܵxt׵7_TgsB9h˦z4A%,fSn9˓clZ9\6 O^IĿ;n\6{91z@-e1,Y YAi1 v.JjGc+k1^Eŋj9mkgNÜBtYdSl`MAu dUMSZpEL y:Xq2'Mx.k]Vi}768ɂ+1;հk)"%A"&',CkJ.`[` s= |<]rBvc}#ӭ3o \@+ŷkD|̽:&qbN[ڶop?RgCm G(Ws &N1{W䣒t'{ckW:O#E(N}Z Sl=\CR˓zV}teIu_~*~ML?iV 0<@s ྱŏ?tesd/\sjCw5JX=-~믶>gI ie Lcg1#i>P4&lb~X,KĥX^̦Oa3OBJ륤 (B^MŔN |0F,#*.Q %STڿ µeN2ΧfCh*&2w>Ç+ q4j22Y_?Cbڛ!:~C/h{m fJ_O }3Xc[9Y^dx, kֻOwjC.b57 LkR%:xRxZVd)E<)euYRK,?+s<3inоT\MzVgT!۶sP1'NDoO&d+$hrT.sVױ¯7ֲ'Q#@B=K)&+G{l&p-tru)j;atB$JQh,Q$+%IڄL';n,`=sNɇŒ1.NVBX1yV&({^L~=-BmCY Jغ8hÔ&W/ct$-ۦ5͝˓+Ij 77QkXTE84͘Xs asb!`|Ә% bZ_Tx"A F8jŽ*CB!1exO f xrk*cƹ"Esam4%kʓ%1z^ i"@6`  S[LB vs4k?ŭYKu)z\em_f< sYsWcub},>ǽU&/M)Bbn9M>/靁5u[EC!?:̛/0SaJS8u} 7 73%xNS]ëʞ|O>Y|V^<+ 45rL\pm,bFWP=sy00@_8^4X3|'te2dq[/c\sga sq[eW&$FIb4!H΁哛]I km-\p$`ܐұC0դ%M1rDA55\zr;D^o ?q1r%^Vf$T?T޳_TDO60 xTo[~_̎ rYkKiurM*/a:{}uɧ_.w>juӽѯg/0oRt:5jYjC|Tዔ I#=Ko{7U8ѐzcƒA-@!cBB*CX0Ģ`zz&4Ib]ߒ:f l q+>|̝pALM)Y0k}!%[i]H98vt-G]>nDJq(1x>H\~'\d:.r\ԧ$N=h`Q̧b0(8㤊%~o%lJavg<̏61N0%R(;#a~6i&ܦy,Iy;%]j :6(=1`t):$O(C%d5e3< jڔ'LggHMHM( XmzXT裩As0NH+}Jn $0m;/H+ kL/{JHUG, Jq|p7)S qqa_E!d',o[Y1sY qSў_xO3!k@[7ar4Зk 80RDc`\tƂChq9ͣs{vB{~МSZvvK&*?gO߯ލ~%8z ~&A1A 7Lkh k޻p({.!AUU=OHKx.@tXg5+[sAMS*l_h\z(V6ib$c{% (N<*+‰#GЪ&QoYsD{C)C0'f[A3d,:^$Y %*E{l) <zcgᯌ͡9XH>qN FwBI/"+2R|[Cj$<Qfuڜ;ZՏ]PrTG+Ly|3Qz0sel^wqOj0B#L{)zE My63$ӑhgu԰8ա0^X43.2xCgx}Ks?|n巰$e[񟔤4/O ^8/uufL9נJI?-W&$H?;/'տ۷ur'0b{]T!6npReTlS@jBol"/1CsvĪ*A< xb㑾]V})ߴBVO`/(ascO8`=i)xaJS4c#2N|Ўٺh;NLjXL0R 6@gU0M>n`!n lń#k4,fo(Mc^R"iR FOlZ]VMø `B͑Q 9kk [36MHeZ{?Y[1p4PjtV+-%2 ^ rV 5LZGDeV{ci }΁kZ6}%YZ7E)<2$QoxoI&b17ϸ$$eke䳔`㧵^"n`m/ %K!jA{tC(1)Iop1bfn x:@Oyq{ jg(ݯA.|}cD&rV;,o>9}c޷?Údy*O[ژ-^u"ibl_@ z8ݼ> q)g ?rQaNݬ QExY;)/ 3L<pZ_wSEyT\*:A} by$D[غj4T.gqe8,}X mrCR60t|~躎V!yA'Iti%W֮ 04AyS ؼj-dy%:hݬ`#Z|#ʙ$'⇧%7 J| Ygkx\ <2Jߚ0H0}Eo ϙEza_8.{|=>KcRg݄VS'weiL4w7Nj߮QOp5.[d{T#oq\E+Uu- )-y//S0|F+)M9Ș:S9,e2EzQ dk 'CVփKϡ? IS胠ܜ~YkGTxXc~y(yi*FnLܠlQW~{yy=O=WDi\![]_2߳L 6QVrSɚu-ȂdQ ڪ)P3|VcSx$&9Ls4ޛQlXB JZzU .K)_y^n ~sa^k͙Ea;`t^r,&e?n)8Eq0hW^(BHhL ؆a,fkt-]1%wS=wA7~JY"T0Pj,֢#_jm\$pR'WF#Au i:1GLP|u{< r[0_9IcGRhiDYt|/,L0䎎閡)NF G.CKxa1kNZgouOp BB;Owy` YM/.w#JH(~ 7Ń7`%zӏ?gH4<F/k\xm̍R*ÇJ۪kX_4W[y߄2܌B G /9%tMcxzO<ܶp{l6k%Cָ9?OP{l~ >4zk|'TzCPgBr &{O~N̸|Cd`o`bM<ID- C>)`J%)ȱ/&ae{It0e?|ЮVԱX F`yz|۬j84j'D hzc2^Jofxv=aess ЄAd{_Nt7rSܝbȲOW'ՙNcp}H kn, JR83!++IP %(f<en˓wfyjG1d}:&buXPŃR{Z^eOz6Ga 4kuUL2d1^,V0 qJ4nF[zLIj!p?3%vg`K {Ԩ4^uN\۪N0Guz?Ywso޽;Y1F f/AnKje=N"tJ<`q5~02xQp,5K -}uU~9wk^i%lu순UYu@IDATýūBB"a(%Z׹xw5 Oq}/8ǟ>nYlL";U!>;Ryps}\p]FMl|81Sܔ?-9<'MlxBv=2yVI Hsz#zB,FQ)Ug)ͶgL!!FJt‘6p֘ҫo#X`^D,b uJp>xӒV ʚV+k0 ׫`٠}eHwM8gA c㍋/(O C+ B[2/ӷsՔ MRHi3>{gp)dm»`ڌQ|($Xx<5<1;58xLئxEHn#`e¥ N;HY7Hc7eOp1Zf8 >#;`2&ؘxLll)Tp+~:'qw -τ+Ǟh8k7zXdF?CbZt{* 2O,LV{f܀̘غwqZ\[/f0;AuEhOo'G/?^6щ67d/KH[|)lR.XyDgYIg H&osUg6W& ]z{ <` Vu6J5ϲu@dN0ڄjy5de4>z[34=QB6sFA}q]s̽*^ϳN*<7,))kv5 3q*`P ^<\P&O =N-Zxh+/>YJ:I{ߐsF; nYEvn,R2tVkMl`sM8Bx8IS9].P]\=%G`ʑB u^sҝx$Lۑ=rZr'IhOW<ע|MLg{>ml @os?G!|x4f,jA'q ;(5#9Lȟtj)Teq'ܕV9VM9*’(u#x6b֜SkNk$ُXx!`8uZ+DlpG wb 4˟(Mt"`~<7Y◻ ɧO3 #[k^޴gOeW{- b 'yx.qiۚ6fcP//Ym7CwAx# . t*0vV@|F;B޽epu?s μ;ݣMFWO4Ϻ.%8 t檎FyX_BW>j{3x:4 OgN*)0Y_W3?w%~s~/hq뿽OfX d{/ $i/NFRL4j9By^wG:^ka`~&>쏯qξ'+;c2 :Z|٧%;ˊsb`0[sGEcۇ&#aۗw[²}ҳd`ɺ{3UBpn׋?(y ~/|Yc,γ/}ح=[YksS~gӦ~-yD( s h!< w}'M:˒k&u^us$K&xL:Nfݡwpם`gђ*i?+0:J\%U c%l7__Cyhhܾ-(-bb;1! 1p-]tAܵ޶=K}Y[ֻx*\T{||.%5X@IATuH${r—҃!3y?7GsͻF9s wy8LbcB *E<ɻ.FxsgsbyÇ𻎧k^r(C&( }Kx`];`b>Ђձ6>MiÔF¡a*;|>>~\l?Sç%r|z坃O僯J*|q#ŢTۡXeѾӑ3K1Tt[6SbUtI,p&`E_u1끅wJJdw姪^en?pz[ayTYJY .q zz`,2qQ{Y1 f/Zimq?{//F0@\zzm塓uJQm^婨˧^,J <Q(%]XG/GY$QyPҟ*`ؖlC&lq;6>b[ ~ 44Z.r΢pkL}^`wpx fGϋ LXo9,|.z_e HXo(H')q5jZ|Y29Ѿ#x{eҿ8*׺xe!d 8C 2E6o:uAQ\)!fXyo=8)S+S 2Y]^Cq~SP"X;w=\^8Ɩ4)CqZԁ78t,fj}UV7׳tj09*#ZX > w^{u>𦏿gP:iN^4kt4oW@/z{ ѽ}Ta/׃qV66KjҹN$纖g.g@?͏5c . \,Zxz gX×LYc:f8+9Ï`KITѰgGØp[v1݃G1c^r'$bQ®O Si!>Y|jp,gB9QpVgp2_$0KӨ6ûNXz`$PMIW*f,,V<9tt]߅&4<)`Dxzy1ۧޓ Um`=܂ڋe󕻅5-` 8A'=nCB77Ryz'Kp'y!A{67 uNL pƀW(R^ia;ዲHn w_-ybͱ#cfċ6\Llb]w1jG^-{+Z'|< MX_l$]5N8IʏC#|8 ڶ5d(8:}7;\"Fx!@b,nvw: LyD.g)koƖ}V6h"冲}@YMY˛y~|7v,c'M}eUOGvvR 7b30kI_!9{#z;J_:BhloMPkHv"哏?nGcuF4V:'_'X981gUuSÌU˿^lEET|#wZ=ğ-YiFҽ}>fK L%aZP 6h_q}V;>&{f x$BbzYʧdxxK#<i y0x`뵹,t\jQ]hg{l9#L|ӟ.5=&FҦ/`B q4W]?\a F3;񞧀㦝)ZI~ϋklnO&YQ!ov=Q #hc\ w<7NW͋f3gG}bb1M\KO0k:w2`6W) $*sIJpd0JEIXo5,&ԟ"k o:p2kSRMEBL|0 t_xUrnN+$%9Mg+B7Zs6!/^.M@${FBO!q6n4.nn))'R~ӘO^.ޝ#y ՌvCO׈#$BIW,kxcMxEAQRBseߩMOp&l?%q $aZ:b\ԡk偽t%Sg!*@gḻLQ=$B9adk|R1Wy&N{ n/cYB㝃S 峲FUH12/:xV0 o.c+)sO GWu|yr"PN6O ^m9 0xnj)=]eĉYNRYfS^!1t:Ol5h{% 1ҩs,h))icԄf;e(w_Gv{WYs^ [y;4 PP'!S|U5[=sd:%k{su frnlfIS(] 9C!'1]g>~ ,9 ;\ǥEӼ{~K^ 2vFBl)h*)#71hӬ<J>xSU.y|w^_'Sn+6࡯@nr61#49ds{YCA n]|;VU)|eҌy~@c:kix"뚃`05xJ([;)Ynĕ=r?˫҆>g.) mF5i^q r+$ģF/5Q2X؃q `şhRQ(9_F[ki?/ 7?Lx.v.] 6v$y -We?x 1W\$"lGm7Gi`X|1O)N8bd:K|HDbˮqp6HWަRd|-{ H~{@nƛ/3(KiާlJ| <7g`0|WǓZӎ.y3d'&Z,9߷ \ͅZRJ C]{OjxJ/(9){[$2kyVwoNau?Xm;&li5Q4{m6v|ۛ6yZpo/ɲMv6 ќXXF6~ T98k :6@va2|KJmr:@#E8 _"6~a1im& D)=# j<1~7ք{k4G%c^#  LcJ$YvJ ރ[Y;;oB(m>E#PYtڊ8cSM+(:$}KeDEn;&6w/ǹ&K;&̺紊AeM]4j;ysk,PX.YWӈ(33ׄ/&{ yDGaWOqpxDNsS {/>$Y\V1.ҐOyykqs`hj75v9) gG#ԾzG59 U3op~z4V7s*<K)ǧz?x(')*=AVK4zr/W#Af^ܰ|޹HXd̠c 4J TuGSLB.Giymns'1N<- 7ʦ{"qd O(`ycZ)Fp[} yx! M4h':<FʋC?H[ #q)YMVM9K 8Qz4ūGLlhݳcg*u*K\uy1KJv X !PXg6^Q [7m 2'c^?)=(ȥ!|w%ַWL?A57Ab%{RmJ^K7=2̳Z_=9IK4$;K OmƯ/|Ϫm/[_mqxbnx|a%1o!Y%2ʸSJʵFa6^|C;v-;{n~rIU♝c7pLݵ<#_g%E4ˮfae;(\3gd@32Mm]-!@/C>x6>e2Rf{izIn^.<BY A6=Qc1h'=p Y=brd#q7꡾`JzweNL"KxK6$>Ǹ"Y*Z}5d#$$fNa-ˤy)&P kheLbq͟t^yl&y'L(<Yw+TB@{ʐ]8dP0ԎKbWX#eJ8YUW)*\`]_'p{d$^.x~Imb zJzSP\i{WYƒNr{|ٓEໃC_|U¹G4!=SR/?!|Pv߿E^&uPj*B4ۇQ{SXq)[E Q/| w+=S""waAkmoz E+ {?*xT5O( ((e?3#~։|QT/eG;mۚ:""aSxɳ^yłGKiMo+l}+;a l|y0>cO^; mjfԾtJp{$ Sh_)!<5d/RbXZ>s4+ߦrD-wnBm-~cwP.40Û#&(PBq_xqڅz`?oכ,rTWdۯJ8 !lܦD;5tuh՚|y~CkNqn, =FXIu~׫c'$w[ɠ!hy qr뙹s.]|GNxML4Iޣ1..at] ϧnߞN`ku5kn}5n'b$P(X%}27p~S޴OelA9_|a%v紀ZQb-> _ UmOZ5O7O?Oohh?`c'#zoW; ¥wvnO9EnPG +$tU։  MJLpd@$nL_(M<`Kz3)Lm9vzCsUn># "Grx6g kbO `b M趄t6 9} \4xnA =\$ulP( gΧ|[=QL r͞m-K&NNPNΊ+[ȯiQ(F\GM`K.ܯ\ƹ95l&zx(>@q!A9)h+J4.nMe.mDk.O86 $ܻYf{C'"!x ϟWv;Nyﳟ}ŋK`˕`wǝ5^,屄'!f,~<(|$Ɲ)** j"n?k|%nj+|N wLYϞ:Bh;z|}H*[-ósX >K1;kj<2BX-y Tpe3 1߱MumFjBkc!bȲ'? t!K~5fYTX^$^6tUw^w@œ"/;o:sx ͅbo7"kK #`5YSn&[LBpy_5kxE{=r6ɧ%ao* ]ϟsX{"ݞA0sC >S>\AiEY߷FMP6ꩰ^G5 D Hyn`uM3r%/O+Lv( avSiʁh>+Nʸ1^| 픉y&`=ʈ]x 4ޭ\yocyztrKۏ w|x //>S1F>OK\8FS9 zC485nb:gv=w_!|4ptl>>]^dɸ j~N'lbݘ*:}X{_ XJp:UuX}BAq/ncY`ZjI3lBJf)IʪUH)Q.Z+F֘ʓNLE]uY,wxWhĉ\f9GQxL_Ak^ZwtQ7h̷5G(ʵ\rxz٫t<['bC%^$NHWQMh_nW~xi_(&1 Qk1}!׷A"c`Jn4.ȹO+?Z|7i܍`,Wiv˦1y?(1)njݪ8=-ǟ\/\A 2e+] p/}ynKX(45Ҿʒ9ݽ g*@dW!Iqfw;@(AXsdeqZhm%.C'y\e.u]emKv "q벨כO~x2vZ&T/xgp>aBLK6fiL4CK;߭Ӊ>$0XpuIwkJ2&0M[hO#\0HeM{'$Mnp6Lϕ\BYZeoak3d5+KApj bsRkMw.B xP_]l gH-y`ouY~̼+K3^Yos =%J' ۖg<:U<{ /kyNͽ>7)OWUDOۏfBuZ\3nj%ӺI{;_<(pc|X{mKJއ<}{pTGӟٟfe=> TH_"9)6P(ipB[5A[KAOBMUpWь7;ynnW`M@e9XHr9 f1VVHQDZq#]nf}-f Y 3V77iV1 :u!lRdZL 1ބcl-:F[d:Llc| M"T Cr N&X M5hiQ#g) ѦeS Oe?|?ZԴ NnoUyFUX),i̓5qm=A˒Dv+ꨖ%u2ƙkǡB46[_w5Ȏr .,$,ϗyA^џ׺voCˊn$t?==,0m\dQ"NYQnS Z{vPJ{pވƸ.`Sħ٪EI(M=y99mbu5t g_dQ?r{YkF];AS0p]OrhvEz ׃9w6w,aܗYB!޹n (wjWRh^D eE?"+vns[޶')pܒ;Ux vr>܏Umyp7eP ]x4Cq=>s%$iԎS>KAcbokD$vX]/XGP(GU?XSrLmFc;ѰG)~Kh%GRNT7~C.Ff~觩Lٚ%i^{15qz3J| ^#h{g,FYhe͝ 68. ,IE#xL^}A״)~>7'p$8nek=pOU4)pwj;jG[yjufEgHHRsWRM [g->z%_UמŸ;sCy!/{5sGз?_O׵6ZG$ Kn6rPu{wڜfHFoה`u1i V_?yRq{W)Zޖ x1>oc HMXy1ÚQרVȑ&s2 f},'*+`f'5_^>E uMcB\zYH^)H]C0Doa6DLl>:vHw$0/߅cn^"omd<kYmL @B0AҷEwqr#'4B gcS#?N[Dbw (㢼 vk8rHhO.=gq;L= p28n.STL~@siO.c3*<ܛ@J5To>'W}, pXvfT*!; ^=.ۛ櫋8=: X`ܕvVf8)?CL~'˅zR\)J) +1 o6Vfpֺ$Q6S` ݳT>bH=w#'a}n\]4" ^G2Occ_͉oΚHgr3X4G<'cfBpBC=qJi؞=/ŗ|hN`1|k}ƭ6`Qмճ={ſŏ~퇋{%:ĆLU7×_|/X}^-2 $ qr73b|'%^#p`/|9BGWpk]*]vyЮvRb75h>?0i;XZxq?Fajۛijƀ?hcj N }0:kB®r>[&%+Go!T&LH[iSg&LRp(GY#|7|@> J<%N$BaXm760koXL tT,Ɛ"I5<&y4w5W>_$w!~BJYJV4v8CYF{}+ݙ }OJ&^)ˁ )w ԃgY>/MwYSsO#(5)}Lx3׹FgD7%R(Jdt#_}n˗gSνST^Ecq*m>X*-v nVX$H1{%4zs_LnT4 m[ $5B(I Ns~\Hׄ^7vbjXX=ρQz3 8l!ML /;ތy=ӝf`eec9RRۘ*ϣn#,7?ˬszeϙuNë[Hyxhyca;p|ҹ^o-w>|'lqXwOd,_iޝd->,য়-OgPWif_'oCxZg=!4&'hu}0 w~cT`L_U-R҃ZA|`J~\k y'99 |xor" S'͜1ƭߌtCnSҥ=QX\\ANiɕ(yzFwEdHq~x^85yF8xhLahg͘7FMCSYc?{z0vcT6H"{sY(n2Q2wDc"7Ym1!%YeqqlvOu1RK+N?;=ޞnFk* mKkսu&Kᦘ?eeOyIճfqbQbip+ *AF $ V?4I!ؘkYkmm]?|]Og%L^T9O{=o7|Z*+E; i tל[~3qk0^V' OkĮ`Ua`;<h0vE>*IaWOL\ Yɀ4m\  `j1MFs+Skk2J ?=,ЩX\Xq|-JS:/ ڳWyR8X ):,,iܡ>[8`'E57g42^WU29} ٭o/~EplSbAI͜CBi?I51%H)26ab*!%{wɌ7 58ѓO@$6X][ZUS(4XZF݋YGXh?](܉%n񚃼mp,zj[O@p~LbZ`JMe'"lzfn=kW59jC vG1dRfZ3'\`=x0js6WcW`oѹ[\[ɿvWg =^_\g$\W.^+íx|3qxZ$o];&VSIƥ3} 0ZcZVjKޕhH:ä5l+? ZSCBB{',.h>e7UMx/ 8 7$ p Pavcql$-*%2ųCH'L}Cp`ҋyۂOK3" +g!&K*1P(U=9N:^gx[ǿ?/Lqi8𭫽_VGͩyXYg0!mۈ ( rX O{fzfX A8Id,%*%']rR?GrtRR)*[.:[% )&AA `/9;sv+|f8HNmBԼeWҦ䊅C<})䘱;s&:"lp%YkaЊ@&S誦YshՙP{ڋZ3mV i,/1FZ5xg|:`ԹNh Ǫ75)">s`IY$(@PxG@+Sr8=9${ciR2t19)XT:]7(F52xl#ա0Xw&Ⱥ i ?[zJm2#>g V`Bb7F5a0#apj"~(X+VJzcIJKqpF`H&V<"t/cT Zduoe<pk?)^z@W~fſW36o \p[+9=pRNl˧g,/]ʹH0kkyjfmyQd~'+}0z93`wlyEfW㳱r}_?\({4%z6wVj. ]a#L}ËuѥqCUm #D5,bQ tyrw\=rn} %10G_E]NؿͻI"OZɤ#z3(kO_qi /-YUT(>r^ ?_BPʸ\{_[) )AEBtBHYk"Oxn;@5ƔQS7@gXCYX( qozN˃8JT5\?ȇCO'nQoli59"kk+kLORG \>Jg p⽬R1PW=p,`?ԝ`4H{)uR`?V[EBR%#0iB]S,׫v孆ݨ-lmyGau!rŘSuU&t)6Rx/FTJ.KQ(S"E)ۅp35hUSp ɐsPiympe,h;Rpނ^|yMT8ڎO%낸qFӞ G;J-_J s(@žt=p8=7j2r9wBB<"U O7|w9 :x{|VtEsoUp4SۍnJqFB{9Nx4б](0xp-Źw2Kq _?CW/ʷ}1 Ƥ g[BєX^y#zEWH9@ {s)$K .^ON2턻MF}LS$w)p)Jg(OњzQku PkS`lܮ8__nfWMM;. \t²Zv,} *2 _顫 [%#Ͱ"!Sr[8CQO+/{A"K 6pU0DsQտ<ȻCǯQ"gGN2RJMJ`BA׿GA8}K·HF0G12g֬moX XhA6S5*qW݂?xT@h:׉;a&Fqvp 8{GG E97cWj?Y8uK+y=j`|\>'K?o:ڊy^<*?|:,@aw}vm-\*Ykt]0f^ "t3`!{EݟNiWH(%O~-\&DTn#0mehB8b%h]4|j6sEwE4cZ~җy$_\*Tyhy,>D]ukɶt lQ,9l#@ PL+s|靼,C̑riY!G'aY* S; A 8Fx.D!}$,}A,>zQ Qen &g 1:֛-?mzf#t'o?A;k6fJVEKU۔ŋ&0^ HCvJ**st=}&eU Scc -8*a( YBԣ^dǑVzhD3Bgs-S`~a/Őd+$}MW.-ڲ:5ĈA'϶~&|~!v1 Ƨ ֱS-vS1)|^Vh>?!x( Ţʕ 쵞y1耧"Q55!)#nͷ60A83k+X:e? uh㭫`<; Ȓkk7" 0I;Ne)VnS?QjZAW9Qdś_+Hh*]!SVܹxss l塡hC)Ztta/JѡF_*W/]Hn4*REI:|C{{xd\/z>Ѭg?"o~Br׻ɾC\пO ٖ+=:#Wl,xblK=tiK#Oej1Q(ƭO"y%vS0_?mmFC 'Y_H'Z\x{+Āx3{ dE4-O?M=Z6gGECױ^cm4;tܸ=W3\M+ 3ptBNX7wg>k3(n`go)oo53孩;Qo-/U"T= Y'~pNSl33aE e;S 9Y)#mL)ϛY@%,~4FBHɍ>a#}~p촰1(~/o MنɉRǒPϪ!'2Ž7OʝOxً}¨YQ WwH%(uq5r6G[sқTN.cM94yK.xK񴷛#` sʷ=H]` Gg h k#P) b8f#s&)aH{! T n߄4 B}A8eۛ_9)J̴YoQ A{; to~Fyiz8ܪȖ.BaHPfpssj3Ʒ=oxpў#Ic~5'DslF8/' | 낿w^cfVFD˭o C߽`Ժ'9PnﵦK>}G?|/nc~~mmcc3TךV(/{F= D+MMZyc/l &SEO\Al7_Bd}·fdKs(vrL'?f s܍(,>)GtQ 1:Mi96 JmTi[ 8`@ЊCØT:EG$]x+")]=RpHAr[vyԞ2&uصrjܴ r 1ө#~f[s.~ɹ[tXϸ~x>uJ-:Ƽn^^.]l8 Hb}0IpcwBm݊)gBb>$l^!+59PyJոǾh:B VI8mֿ+}LfrɄ̰ ( Tlˉ?}EՈ+ 餣2#VD ҝַ !@9_/VbPTuvJ4+H' G6 O-K9dHP#^CrzǁH|pt<2tG*@et#qEPVKVn*{)i g#c b {StF`][vy^SP՟TG nj:S~6,̀G 卷Z{ѢK0w(Z)>Au_D0gHQcudV,}7tMTr~wtxwƛgRcj{=MGt:ݺ٫4/S#ps 7?ZNg5oe?k`Z[WI}`hq: "R G {ϕq5yUK$i(\}`:5žvm3l]%idψ5\{r}uIK'X]Գ4Ṽ{t=0V̻/O=}GpI͐ti jlymLRG;ɢ,e)Zc 1' hm+pTU|0A,Dx$02T4 PS݀#v1+?oq5`o>O6eQࠐ9Z~)ռi=7l3Asb wU5Zj\l; ?mw 3%wBHCmlۗ+/W)Oiif d D.V Kgz,'D*PxkS{a04bvWd[<"4\!Wh"d"1zpR(e,8EN$\&zx=x.?(e@d0$63H<TJK=2193$+'M7\0tv)$Sa뵧Yq>9t &fc ֋>\B79/3eд7ו zm堾j_Q&=EnK س}앳 J;~ZS _ (a> WB„btl+"8a 6L[[42 %#Ak{_)h?ɝ񜺉 gH^',?\~3E^v9m߲n$1/BÑ#[ Z:!QTҚq c-^atX5Y+]8'ncXY!jGQ֌hRPպmN?ɚ.+n|`تlg0l={ ;Wf}ݑGCC9t':Oę&qN\GhnCf 姅 (;rQdVs ȁc[#BZfQiN2o<8R.f2#YGSkS9}b<-+)6 W3`ĔBQÄ܍Iav<2#onvvL<95V8Km\Bd  <ֺ'(L9AF^ϻRbܽZx7h x#%On @7h5=KcLD4TJo9=-oɡ,6@q}n`0o>gzR4wŽԁ p+U3c{?0hcёw`Vsn_=h+U~ @މV<%t9>۵"mҢV tVUtŋIy}ﻖ1Ǘ_~sq7YT&'+4ErAy$"򨩧6y;m:]U@aǧG//yIZ1~6!GB"gxdULˌ_%(❎ ]Am]La 旯,.̐I{Gq$3 0+'ß1;Nﲁ*+qEkmW!ũ:81#?~*۞[:W xGo4͛o7Z<%AqEm/g?[o<<ށB>:zɕ"M9Ѕkt"şW CY""Ba?Iȃ9LBύN4V;έii 8SHGӅz⋤3̊`Ki3Us]CFkP/ɛ/ȭ)TVsn>y]N#zݽ:v6Eov G<<]ԧ{ur^29'0ni p S{9oGӐcCDLS\y{$Z&$#<P)Ҧ\Q0^itPxI x)9VX, y kV 3%aT-PH#WTHك iy“HUԔH"| bfHXU&,ckndacFUu!C*X<Ɯ dxelמy{pryG O_N,}ꥵcƨvqH{0!(hU嗎D3 =^5ݬ"ж^0G1z-3-{6FBۊiYSߣt# è!9cUNCb~ω=Hq— Zv{f٪s]/O{.u]w[obǚ!~V c_+J q{U!~Z7\6::<_<4aD3w3@ja03=!ֆ{Jl)z3ZQ팕$XF:'L w<ٍ l8`h>hA" ^h1qxǶ?BO386`oMFAڷ6NCy̢mfx;W~;D^ u:Zk·w^zﰢOfpbY wơ[ |!Z˥Ͽs  -1!-e6s j#(4#sꚉjF E} xbQ뱈y'S@]5Xvm~syǚxł5YbmZ|Q^H4gX0SX.>hc>Z5V}d+!`b'. ƒp>x'́+%f´εơB{Egv_~n|߅ X5b $ *Ar-EFyL'Nc?Z?(% M'JfB+㭟c(_ 9/̨%(sBb//56ȥow o24Āj'?)@\! A|5#Mk>m]b87t$!YAo+k_):)_18_"X' 5dS(Sk:펼}fivf$kȑ^>RHI 8BόFO4jxp ^JNewLY1#^+OCŴ0B#)3'lhD6.,vE, 2V./Vw^qQEXԛ G@h1``mJdÍ̛Lav@Ug7{E)Xv 'b(A$2Fo^5 _%0/F L$EiNϛ_.ltky{ݚ9OgZCBRW{w#)d޶W"B43ʗracxd{01o+<܄?u;Ϸꁟ s40~f\g0Лo8Y R=vV1W?-dBR=E1WPx|D 8ǯ:7jXt%F{-HkD4o{&vť(cB8C#J(kӍcP*>hPTE r WsM¦=TsY?Gs k\"<`f~[gQ#{}Q&3JR;->YOhžoJ%kퟓ[tt{8 N~%;>=}Fcd:UA\ҽ-*%,q;Y<^Dt4rHe+: ҝ7C:/z ]}5`@=QLk)ȊA /gyo2Z[oLƵ֦-DLz#CʬyslûSBXfJpsbgj˕K_3Vڷ}gޫx]DWeۤs|VjQ^K3X^a2]QE7PT [s4e],3=[Hh,Ro^23{giZ~cͭjzh֙Ա"u]_^xGw:H{8,&{k:Y$oL$~fܮB;D'H(O4OG3t2 q]kAqg_ vYaS- cuv_Wv<erBOR}PLA `STY˃NK>y8Oty=5/\TBt0=<76"$,"7[8}ʥ;!QU2/y'#c=Q Q)O@4xEKEKy[m7qo  l|f&Z1g xh[yhyo (J)¬YV>QL]@{v*C4.3@IDATaasń%b"Z|$ Kup :yhi={ZN1oeRE/=^*7]- eYŬ#|R=#)ds3 ՛Ɔ|]`(U$N,]*p3Oe|09<a"\s=7S5nD5 vv"\ zc7v§I!Qn8)WA᭝ooE`npбs;r:O ]C9'( ˹ZCîv ύ1`ohNky&@ I1Њi7^76X8<xb4hV8KY1l3Z0B,?z:bCyM{t/eo1C2Q1>sfĈO$lc±>6F+#=VAG>.NWK{2'D;4 2SQQb}~sZ{у\DaڋO7~"x@4 }QӺǤ" hL'đ'#m1sg[^sW^4'x#>i] @)@ILb/"qN?{aO9S&zی;wRXaʖ7ुb8@vps]xk} x/,Ͽuj˯]^QN +-)gfzhUE1|&B0 8qȐ8K8k2l}K* !| /rF3|$#rhg8WɆ(-h}6< a oAox^*bކ jsZ,0NO$V!3\ ju<~<$:X_: :I/ZU(]o cVB7l)rÆYi|_5G:Z;Ʀ/g=%7p1Ɗzj?ձZ[o㽝Z?o$c7jmC_Yq8֛gIܨEfyD#t*LhM=2pv} Ex)v^[l ݳ@za <L]:G6^M* xH.ϜH&BHns 0A%S%|3OTvfz ܰB,gxj1.!xE`.l{puaKS ׫6`f%OSU z?R00e`y S(D*@=u<"đ;,[F\7VȥuQb?t0J  <1Zw[ >CXmY3gm9.ۍYm* ]z#ĐV=u _;R D!~g>AJJ<7E}S_u OwJ O$IR2o!HydE(k)SìH3L^D1^K[w1ڭ/mP/g|z9V '\,wRHk JG:֋ô+Ў!FaӺ.k6 񜃇Evw]Xj?o&wɓvf =iDcRB+Ad`UDu!fQC2BGS#m i X}Cm…('". zE[uF֔ OEg7WB3a>h#(ݼcͦ_yi7yg0535! ER~ J[%}|z.0fVf{gtxIj ˖+ u (!8QWa$S򼍓=nA2oዯx8BQyCNLwwȇp He2<) q]k@Ӣm"F_hCg<ط [A @clD Ivib0ĊI`/7?o2j R/mx[?QwH%S֖or aߺo}G>6{:=Ǘxt -ڦ?熈 wU'|n"dpd7#xzHgX M}ZJAVmGN>WA2^hSqn} Gvj)L!6RH<8{,jC[քU C)r ʹ([.]1Ka$L$" 45`hcIs|"3{=, >(;2clE˥FqRkZ&#DأD;c5U ABLD L84H`hk2 QA,1:V}$؇CJMut$&g&,X9-) v)-ތMS=[N4| nsA޷y,BFSof7u+C>ғ acFNM޹ZN`nS)VJAiy8(iJ8Zޚ¶/rNo >A9m1|wFB`g!}iU Nuv¶P?w&2VGh= qh5$sWNA\h͔ T KOVPCUK2H)[Rzߦ^a"ja^x-Q0)5 {c`` ndO@gFד??- F3FF}~m܄jC()4Dwn]]~Ͽ,* ڊu1h'C!8ގuo,hoy}.zZ>/_]~)0#q[_|s'yPx6 9u4>öML >=JHȚDEYJ10O~˟;/\.JbfǣEsC!7O 8QZt?qA &&_sixRZxܓjl2u//.—gN-ηGF׾|3OfH| /ƒQ"p+VRq1jMYawƅ\x}^KvJٱ &wHJX9(e]7Ŵcv)Guuxwz[BξS탢U&G;QY 2`L(rBXiv(F<~"0}d O/g R7a; (^}cy/| , +w G҆d,P~ɤ6~_W;DQo=Ͼo7,o/- /. #ķc|졽~Nd-#c1Tv{)w;zt᭽ZP{RuSG?1f3j0'\R(`2(Vc-6U=xPƙǗO7_y}O}c:=؝ʙ*:\8ē˧>ϾXZm{>bXX7C7o˭v:n])TFˡcɢ9Ya'Y^KlmVtK Z~ww0cKF]ʩp|&c{y^~>|Ki76 F|d(u{9~Be}8 S8eȰq "烪H(brq[7_16dc)Z3>6w1v(r૜"f{]NR+A D ȄQz#9Gw(v |lSh ɠPİs9h򶪇%w;~NwΧvEBcH^YGbY!v7<02M:̚|O[˃b5_MǺ6 2ɅNϭ:16׉QA~y".;njlai]~ Ύ~'̯"~OA\!.'dG8O%Y ~.z_A>T/hwWHJpc;\M_xB13V䌼`.ڃN5hxx#G* ûs.I)l4᫠ڷsEf(?VDG!ÄۃJc~ ZtaH4/r64>?^e=#Qk_u `~'>q3ԩ`t@i'VCf'D^O00yeuP Z6~ʃ ANIcl$]! f•ݯܔnxFɀ~ZB?m'B?yM]]ɢ8^\^*?`<4\Qnh綇j!wI31w 39A#ݟ1 2nOƳ췿ͼOd\|[o,kpR`߼tm ೧.ݨ/_E!`buVH29K0>5PFalV\fUp?e9g_{IW39U9^HF{4 (J^mͭ__a驢 H-꽗r{\I)po^M_~g7[7|g...]~_SrY!N^５8~~Epw5?Xv.>HCIZ+rZ7YzEN޿Rtg<ɏÎ2wsY&}"RKp2@ʵ5*^w{ZdoNʅc!jኽ.DLF^x]Q}=EDNM-_P>A7 `QM A2sfw7P㟢+f(l&lS@1b$V6=n oe3Y:'#nQ RnBTza-h<~]Y^' Ĥ{E5kcԯVFJ>?Ld?uUVÙh#{]>g"]N=fKY9&p!]~ ?*My>w<XO^Y#'R jIٛDAL)k mPt}dr=N]BU ~^0$K>^Sjp)LrnTi@M09C? F1F׼*5t5/ENjx~݈N:$iw!?A 2pDIaKs!5a {(K8V7 g';kt7 6靭I%v_|9؉ooOʛ+~C..Ͼc{r=B?XxUWL-ں>p>9;ɝ3m~aVɐjS)D]i n Uv]O,VE0QS7#Pl -X o,yT}C܀z,ۊwGfȻ kW+t;JM*8PO/_?Z~'EK骍ܻN._]>.gy$:@n֠^h5sw9qs g,׾嵋|(.oUݿ\xq~&pyS-g9<3uzx< |-Oʥa(39]s2z='Uݯ~y}r[N̿A:\K^Dxta%+[ _.lcy~›K_k_ΠWBxc~e? ڔh3;i6UGQ <[.'EN.ϤcSwr%tV gw\ۑ˥rR7+f+bBwdiqGKf 73^gp&d7cP9?XזW_ykCs66i?3ldTt<ܪg]mĸk$PF*gDk,2qt)JVS%0w5 ?ĢQIl"vncamx{T]/?9a$ůo WY3XUq e9$TQH8nM(؀{8Ʃ"yq$*K|ۭw~!ƝF"7F:PZГ9/Eg}Vղ1j#a(DpMU|rp NA`N&"){isS ԩ{h0z1Un*caْhK2}[Rp$#5d?)eKm3;/3 4-*3+ѓ8FXu(s4.bmiC1Gù\t<·S"["1WS S cA6vXEZGag%%fT٫2ji.I(*R|{TQ.[o6R@?au'z`߈1{y\;GCN7.G8a2&F.dQ4>͏\렬QA@6ҚDT([Q@kH óOc+!޳"Gpb~7~_]^t{A՟[o./(͇孟qG2OTl& oQPLEROW7*ܳO&c;0\_2_k[ˉ=DJyrDb΅i *oG;{ 'orKWuQ%BfH'{p2z9]ǒ97^)r#A5wKQT'n1i౱2 SMOˏų՗gXFM=)?o翷7pP5F N?}'屧Z^*R<ym<-rßI{ЩGvx˫..|>'[ǹdoO,VSuHHaTϕ7ko.o ' >|[ꌃw-y3!Qtc(-Jz?W`p/Kur1^#ƅ}3D0ر¾A-ߙ:!Xͱ㼝B@Mnw(›*Z{8(cxB v(SI0( x.7]kbD!jk \g1<&b2ȂQ?D9#ؔ^VHda&L?nx377gcO׭7RH7@r3U{[xJ^gEA;YJܽQU>ic`;)q+47)PJvO ? \t!|fjXi|!c2En\hKzhHOs `*[Iqߙ: .YSopԐO}˥ TnBhMɰ0/u^T4$o |oʓSc|ͤ>zC73* Il 'E(^u,~i#2Dm0֮je2yY1k|CT 8 gLHJ0U) "eI`C"wuR.'ktSf^AYa _-xBD#O~W $K݄Y2C_Ek8Osj%O^= 1_2"DH ]xV`2S3VK#k>-~Ѧƽc_OC\w䑄j8v5[o r,[r.^nySuH;(LliS'b8;]TVKŦ\.O|[-(1_t̡q9+44re OOϧ3%-dK֓ܳ9"?znIO+(npʧNU,B:ƍ:9ZW}R?26W_Ut PO =ftU4"Lg- 3J9_|py{\񇿳|T7*h0݌_~S#ɋ{hJ@J$eǧ ʻK1b{yCG2*ܣ) #Qc(Ll"AgP`y&j0L%䱆i[ ÷y^,`: #(Ĩ" @)ilPtR#j`J\kΓl05Ǹ Aڡ_"9KY"8? @ֻ iC=:xʬo'A}W/Z3DZybyo^ɂZi O5 l$ QX.E ѽ-z)o3Fb^hUQy3}o}Fa|^Lkrی#F+ ?`2 )Y{G=-cdM> N?WDD *&J7_QG_+Az3#b/cV y+` +;ɫ*}g *aL1+es]|/z=YT$#.=s9̈́,VnIMXYnk8R~Q E4Ub{h(' ?{V2RC<J!x .~2uMh 3ЕX˝o׫-9.AK<#<HELISG]1*݁gA•NBmgHGCE>U4Zb9Qqz &v83GY=@=2}^0euZJ{I?wy_u>*Hɳd:oG4~^s<|0Fn)Q2==x?pnG^yUg2 C7+a~~"|ZWb .3n Yn\|X\|]ݻ '?`vi9#>?o_~q oEG7y僅[7rE>G+ CHߴD|̈tb3LLj}/e|x|RθӝO\X'?Ɍ2[q*_ ' '|)?28HM}Ffg$A|x4EB˷G@yTd ʱ&LYB!e= HS!Zp1#zTUȰwD4ȕ^Kuʁwyߩ;^;^EPl%68b!@(ÉV` U۲UH ERz۾;3=s ?q3|>ӫDb"2="M`tx =Q\Bȭ1Lv %5AMX0٭ŨC9e@Dy u0C8Ub_4F<êY"PWvU4- *X-e۝p2D'6$q~֩L2*ABeld6B1DBqw *ɏEb]G FMj[X)p">ʹ'AMXK|N]1kqb9Aшs!A\dDSʮ*\ʞY37Q!CHqJ<`i35W:RITyBC©g7ld'Z7 4XKdZ QW 8dBK}$4X81\< %0׽sVQE TfKmsdTt;CPF)0׎㥰<3 , o`ƲPHU*xدV~A?=ZyOIoZ$nBҼB2y=Tz3M8W^x‚;6<:X~g5mY\QC9A2߁un"MVr>67E\S^Xm=wYrX  p0ad{I0:y`#Kh߫F[dXI[ӷQ5p*>_d<]F![y&XwwWr{fӡ}X%߃fMbo2 iCiD]BeΞR5` vلP1 kC{nڕߴ']86Kٯt܅?,jwaعciOBkiޒ~0&iF{z}D^Mm}(sQ7މD{LRT`\5s"k-}s_z-sUhLs p}7K==1:wTpڝX2,aNA[:]m5 p jy `\m@Iwj)CP!IF P3++ODyf'dQũ)S'J;W<@v[-!.TdYHB}H/ }d:371֡i~cilt^e@d6k$B{=UK^gcӧ{B7cN $(Ĝ]󫊬c_jZP~47G+(#dƒgΝ"7BxTcⷾg}tt葴{{7{Y[k5\HIOI}0:@nx@?9U!Е3;ߪ2KS&a{02Fxk/|t}{J񠈿T(S< p-r³Q;@U*L<\^e95Ï]esHN.+Du닄0^׮g *}]Y -}ݺetëQZ3]Xt yZ!e w([&֔eD;QPjI̺auh\9NKBH*0`V _ ,^ꀃ)X\X a:uWn&_dophdL=TcLUKFFχv'oa%q0SR3G:uJ@МHbW-*`5Q&vP$x )hdi_ uOV&KXW"|1̳e eXX6~ I4YP:Oo<+0m2A0nw֩A{xA(Nìw N#!|y:p5 /[֒*ZKILee7I'0@Wzu2F[51C{O \!Q 2L2 OvR [} w{lE]>D'ΐz|U"g%A$V)؃WN8wdžm s2nKoW?,MoepQ Cd%:88a!]l5**ZP=t'F3=g?e~IpĜ5|Lw9AğO>&5Z! ;LeǾi~.z v|dp&1 ON1kK.'p1ͪ:4`kW/KsW 'sҙ`H?@-~  >\?JaF2iY\^|!<=29 ~J\FGl#@S cKE7CG:LltJ.um\ABѓwm |z:^H _~o^Jeh@i-di8aagl]X=p_P؀RNjS!$ t adPQ A>3av,:>ȴϡf0ZID~YLMӆb8[){A[i|& ,cs`eЀ5۔<հX+1cȤ!4 =BP{ȓ\UJ ,b&B<;(DF#qj6nmM&Õc+X@=Eh!h7^Pw;t_G)q`2(U%vJ &zD$xvFf*d&(CC+\p~U Z2Bh nЂX8= +TQ/fj9 ,8X6N'TT6Ra{iqɃ B8h<KC@"Τ:;was'nv C>VqUq7M"115"Dq0VL.5?}{L%Ív@%WefFgŞ;ҏøQKXw^|>K釯0[i5-k_i}i̭Pa9aЮ<Jٿ sX<$7Fv44ezzL.ߴ{~iI;vLw`pDs(.{zMwIk^D4U@ifH+5Q{iG? 4He?@߄^޳̋YI4#Zyjks..\KܹwD*hΔHќ:SI+8w& 3֧rr*ó@t AN۾W9 da&/[jxOˊd< ]y"2(Pb&)uzt9%/6 n|fb4Ρ@jMES(6k s쭣P ~CXى5**C_B>2=Cy  f39pKulIꆍ4Zi5_k-І`mTaΉi!P"d~,()Ld-QI&⌱6s5h;o¢BbS&f2c `(6)38/fn&yƻ,'KyZ^ gRp> 3*_(* ;m9'@h*fa+DFpro6޾S3 H30%PJR* ]U3c0 PQ,Q!ғhq }:pPj PBBPT*X60I(ݒ{ XnƂپݻMŅP⯑hȰl !/4 {#czW;JL,X6I*H$u+ίvȰNJFsV  ʁ ='Ę#< L8y2[d]džKlp^󲃧O38KTqd*5>=deܬKܷhP߽ܟxA -&Nxtmno<".Sbx$untHZ᱉2LHϯybf®8o"Ehj% +"d&z0b F,Hg,nD# xuq,-"ɰ WB@7GZݷ84P؁9V4e,$ ۨEGeJCx8&آ񏖲Xna[--WrT0ka~3ݝfǀsD eXcE!Ln³Ke:h l$0?z>_R)r$|YB>vj3e0]9m>7YLf[=2w`0LZ2AKТFJb1ss08^Q[^2Fn@~ZǬsŋ(-"΋7@T̼qvq^x_aZFJ"Y ;ƨvni7|z΢ZIJ{ y.`\cIޔ6 ,MCFOM(<+(Zw63Bҟ7!~ ztS$fSii}P53( P"t./Bi}vo>{Qe<T_XN}οoH^,Z~anBӋY 15׻#ڗ-rУT;TtF|a'.qÒԤ]8 ^?b;3#\s 8TVˬeUCѴO'Ǟh> _"$R}wy1ϵz!| &aD}@2`9!P; TVSBPPhvR+o' @aYjzbP,J3cuK\jg582jO@jJ)xS7Zi:yRфM7Q"؏-hC6qjƬe )<(4I^0MB$uX|0Aija37W0&@\F+$إ8^MR9BvgEWxwS#_5qKƜS׸?1PX!~m̂I3^ܡqLؘrM&Zܤ`"M£cDO+ZR!sMٳ_2~Y]UwʓZUOvm y;۰HZU,4&sqw'`fԫ(Z͢0= (N,f:bu2 YzJ L M4Iڃ ZwN06saynhPVWB7Lٌg ^ I]LD,BƮ޳=8؏D/-nKT; ̨R%n Դ^4D2ri`VՁ?PV`hiUD cv$^iqx8-4;99 ݃/prMݘ -1-K\>nS XC8[ 3#y) Ĺܰ~RyM{1ܤB/)DtxH~U[,WӇa s앉zXv*)ί^Hl,%at;w*]ƒP>}nVoC&?*{YX:vわE&.oր*}^*OG!A953;P ^:q6"=A1;p(&c"6v`'4ccf`CC`.Nu? t. pPHvk=xuriԻΣ7N\K]b|ighre\Hgsa[tt-d2G~.-zO?_O^D)' vˀ2 Yȓ<8{B|\d8ޘ:0$rܷX="J_+_?CLf'_INrXǨC9Bx,'GYY/.j7^XN~R'=ģ?/Wt=d*piwHV@Y8ɗdaIDX>)L.y51Aם%Y2Ա0n ^3n8U4`.<g&B w|=\Z# Rchcݸe,0u~*+)}zax?ʓvmc{ PjE\jp5[P08V #`7PR@Z/tk;ٮ͞#Vrn0D=5Qɳ}|¢nYFDbLN"zqWp/gα N/q?ӂ4 C1]QI oʆ 0ʅCpp''ڏkQ믻l[Orڛ]N V3i%SGVf^ބOG n[$nGl>fg+WN!;+( dQS]o`&Et1P["TeB&} LwNDt#/>׆@8ez{/=>?}2`z8(m^Tej睖Avd 8HeR!*\iwIkcoOccnAhfK*@jc3)FIYwpW^TNhjQzҕE2O-P0D>eQ'`66a0rbtYPS^S17}h}q^:l{Eޒ!`Xàg>8΁eM38!R,˅PUݧVgmpg-E. K|6)ȌbrHdؚ`b傧Wgk}f[(Πa"0,Lݽd%uX#0WZzThyV+"CGS?Fi kyTOOh~BC5:Rq&,ϭ5TU-\S Ǻ[нߦUZ١# A+UG~ -7r?sB)tl*$2{39$NJ 4Odb &dz8lnY4ĵШ M3I {BtK鎻H{nWyNJ{v35|e%*6XN(Xwuָ*};ރу^];HTݽc1KLz7GlҴm!"9VG03 86`:QYN_L?rЪke.;(8HT9ݧӝ ﾓ:E+7UsxoM܄,"!I[5댦TY:N3<Ztea3]Σ73mܽ5_M@Ϡff B(\$n1 ^3ghxS 8OlxPyM63CAD&Zsr$L8 ǀѼmB5EH̨W3.4d[+{m[`1U UEh.UaðJ,QH..FOae !--Y(5LpOvn3861Ȧ.C6q8;d"Of}lmB6q,WYA-JV"ֲ2,9 P25p*8|~uoꎪSDgom5m3f=9T-UjL<|mdz6&uoyHȈ V:Hx@@eIY87RSfFh:b 6d  %^\U$+:=_$Dm.]#Y=)e*cXey N(J 5ľ)(e^e @9I eiB!]1uR>>w/,mQFvkE89B 9paXzaqaEøpdc1d΅]egM[؆]fʫHϾJĉgY@b |D&aן˞^cI6ER] k924GG1 F~b x+]'6Xֺe!aCM2n p^G'q GU0xOL5t怖~;TG2U|:3CZx@8B]b0pBћ1gb鉒Y9==gWaI2qj (ڎt,i[andLppQuP ə?CL 18U$;ǻWaMРq$b"z2ױo>{;7R #P2;:ɒqvx4ިUN<{f9In6Ś[<ʕٴwt`'!g z0!;ZǭG#ܰMŠudcM3ŅKv؍\!^r(,Y&IWˊ S]6#zU@&eMCT8~Ї;1JN Fg?`KNG(=hhΡ~9"z t>j{0ɳyIT;V( MlL}Wޘ BE: N HL`6bbߊ6J@!mMW')l{k %uMBۯ2J.s!q›($zJo&fʝB8,\]WZ,v!*88D7(] BS}X$<C=.od}*/Z(ex~@H6Sԓ*sEYXEg{ow(~Z T(9,`SC) Uj`%HO{6W Ġ13;x;xP@Vc%e ʨ^BruTl|%/*zcJ8;}دveO<ܗ,>C)8b&ёTmg+]y^͹Fc)sA74Q\M { mǁ5%>? ipo 8sim Eثtגs!ɳ$r.!Z_O-d;$IVe|vbQr42\z+酓tm\!80J3W> $$wHϯx@eI41a5Ety ,OӼ9@J$t]e(eB?C#nDn 3qyh;H3jґIOe]XFEE<Ȍ~Vw V56gh`eϊ|VkRw(p=2"[ō#3jgf#8.1w;'%e DkE+ˀmV/ZK},0U =j_Z?E l Kmb^-Y90Wbeh_J 8"6ˬheJbt/ ɐļ< NdQGnp?WzdI&1ZB',9ؓIWxfAM/w]B -r]Mm@|/I6X㥁ѵཻgQ$`^ukn^gŖݙbe.Gyɯm(0<vQH+ 3t;cN7T e}.l-(hsm:xmP<5) xs":w@?DB1*!ȴT<}n=c0J49af X{.TZiBaVK7HR,H2eU0#gjLdž4ZVTM t(K EP κ9u ſe(&qTlk~I%!A۠˄ cs#T;А-ϳ_GBH&)  272lV5soDZr1&w&oHSlRhP].3Aﮔ%ui9-7ݤL<ޘ$$̝=PQ!P;2 2[n{u/|Z7K_%j?Qp;<ȿ\Lj/ώs(/=wǒP No%Z_>.ðp76;Rw (mʏ3c(\#;S~!l<942u}̷_h3r1BT iiL%{oentiϦSl"`bsPk pNKW1}@װ NxrZ!P|4br=~ǧ&;*2I=Ә&152#3$|n[bL۞.yf%y $ta֦ބ;$,Lg|&.lֲu[7Ff%hvr Tπ;@DԙK8OΛ.C5@ca9 y\$Hqeɜr/{6gh(5_W[Rg١VYd*(7!s 0 ,@[@&gaDV6e]G:A\@%~gG<߳qx#coT6dUdsdZl, J_%pg!'._U(t9ӠׄGm<<#XqF1@p!ƶJ\I1ݤU:)6 pV|Ь&BP<0OdVX,BD$r{׺SJ0r*ؕ{ #ЫtZICN;pז`}ML`NPER1ASlp@H*/ӭ:l}mZU#*+ u(A|46q@BŞy@qҖY12ͥXoNt$hXxqnqCkj ݡpIN?^ , u=&:)] Lm2+3R;s; g"`*^R|l܃[Ґ(."tt5JC|@[0ILOw~o|(iĤ:B\\G_\_#T(O^=Jn.el!ˑ4b&سi|{'^nܑ<ط{dHp-}4z)֎2Im=~iC^1nP8kab6ޙs}Ga𰂇[oNOYptWz;Rs2*lXlJR49u\І=QƷ5*v L7s7]Ljt:94߹x~>9{hP vԻ16K~f.：8Eszސ#07#Q,!h<5YJ|H_|0/ .Bg6x5 "_ONMבE0t9ji8;>-67Qê]6@ -9G82$Fƍ `>a5EpQ-QF3lSpάI7߭EW=F f@IDATP`1ݗT]Z `Z?v}Ɉ-,P0IbQ7 !7C@(`LqTX(y $>k\~~~)}o |רKWgwVapǹ1U!L0vC"dڇGTD)X(1(R"/xH'D1 Wb`*"Y`]}ȂAZĘ&Rk"xXDO1S"GԳ;yz}ꞿBЊXZ&պ֍-_䜣#q eR3s'pzd~Z:fr[30I{/2giSqŮQi8<0 =gbx'^ PFOZe;`ehJ֕>uoRd ޓPYDEcu1AS%2OD+:p\~PAr_&FNzfx]-ǎo7 \RqG"\C-ݥtTF4M!'5g}{!{n# }ө7Ns.g.Kg/:ɫ(w}ɂ*EHǁC!\Ͻ'ӽw>hD?dXJ/ W8N/t.]qY9 CSnh ^fB8~t.!g+1&Wnu*SD -2!8+f$|@wYfic!,zjvbg PqMDX֑jq2.;@!4"v)1dajeLbgL F .뭁d@&<.:qj<!ƶD ݻF;zhe-,D6g_2PGInZluW46y4@'Usjȅ=)Iie }>P~`NqHOt1G y*%` lLX'serhyay9M(& =P&y E2kt#qSrZv+}na)-SkG}wS/N_*ћBщVFnR]m'|!lx$DXw\&pI"ͩ=0L]! J3D2B둰MFu*4W\"]ْ:e"pH=''-qNHbCWH3SjH >z%%Z|0xK~`7 OXW0ZD!2'Ү{ҭwÿhP!O;V,IjM>yyn~z J:OZB_-HɞU / yUɃbb ˤ}S~ϤfgF)Y 4t/۶\@mTD {@bjys)/<?w:-ãϤ{t/~1NL<&ie)ݯgN+,-]+Iº fD|վzɀPa!T/́p6D23Y~ZZæ(R*'PE !qXVEkf]-Jؼg v-g-7,w.s!G eiT ɽ̟ͫ&YA`ɵ U9 m_.ZLjDbzXzFm\p`lRk.DT] R)@^ "&xFy`ZE>倂qMA nCTS/=q$\Kjs{Q0_'!$Z~,7@K i?V P޼5*]d7MC.K31*­͵^PX@EC W{UAa/h(T.Iv˂m!7rY9/_$ytɢ|5G`#bJoe5WC}/{壮ݟ킇ח"@N/QwM5M'Mo]LYZ'2+-_'4cĈS[s.J4e* M;3n<$߶il*]"Y}dzLz_H1dS+zl5ū'cДxHYsih?kT`hީ!RsjgoI%^iRD)as_fi=8¿7=xQZLgrgbz _{4QbRiZ"=*VWBJL&Uȱ"=jkJ<R'RG-dRx2J҅y]/Ey* 9 N:0¶m :r=˫mmzKfLB؍Mt'.=ݛ#mj<&լ X9"1,2i94]Et|37``9Ek范ұ, af:QN?j 'g&qQrNu(3A?gp ">y kf&:yBu{]f-.vUԉCcUJ< /7f0P:cCKA,}8h0ecגK5Zfh}iP$U[A]ku8 ]_N 4?! \%h^Cf;Lֹ2lO 84G*Cord0VHأ@+G T+=!4Pf;w97{.xĽsoaAk|l8h?*wת$^AOmބ`]h 1ye lÍLT \P*ܧq3P-AVqz.{݃FzpWɔ/#gZgL]00jeh(PBwB&GĬ~&<|0,p%i/&-f 5*zhK zMƤ<]e<,=!Iy)]^|YAr꺌^`9c Fc``x 1yLӍɃe1^LW?S{\Ef_ E]q6t!*b4+AlCQ>[~eW"O01~U2eJϚ6<6*)|Vϊs,xb|9$5<\.C79ّѠ8[_PʃskNù֩TX-dt{nMOk/*TPhꔺvnRY]oN%6eGp}ږ'KA75<0% -q֠VZ AmJpvdtC'^DPZ+gpKU45DX=l\[q*kǗیwiG<q͍(:E!@}ތ!71C JqƯS~1 ];7+ǰw{w_!<<"CMZrAiӘ24QT;5Gb)MhܥiLwAGC24x108jr-àt;̧1Hn9p/MTƷf3I 7XXNҳ^YwBL؜8hrFVuRy{LFM8CCpU #PңU!3@x79"'n0ڌs;c|K`$E\+POoI V {VRE7iq|j %.`jUiC0nb] Ͱ6Q-)1 VF@\We8(58RSƵ :]GhPaPI0C-G ٟ #Oe`j`wFOV2 0q1ɺ?ؿ[ V^8֠W&57WsK`r[4P`(dFW$``| ,F󞖔Y 8ϲQs ]h**[[-o{B ]&VډQ0dݼewՀwfLq$-#S!G mCW.m3=3^6CiVLd4;oKR*,[Z6QeH+nLP'2XlzO]|@3v2׸^241Zzք%[ %22ڄvY iL:3~0dGܛ(*"91-˷h\nM@Bo,W@SRA l!D[m}6ksN$Jr+QZ-#5d93U0bElQve" [0[pٯ}ޝ!آ;Ua*P` bd*N  3CgɉzJP]rFH7_euyy :y IN=Cd|N^M5X3}*yt~h˫׹pf^?5l>p.(<34<㜸P=սG&I@(ЫYzrP~%QABIgFZxV1u鞄V@3O5ƺ斤9ײ!ʽĨ؋ poǪxC1[eE`U_).J22;[9Ac*36opX ^5m{77أel6 ?G_E,Ɓ7 i:xFu(幇tI~~`53Z \X|dJgP'D7 J@t&i`jDF6cHJ|֣̓nSxX*Iyh PFW=CbS|0m uWbU-Hr`C[w,rZ?Ej?mޢuFը;$kA! mR=d^" g:H14װھZ7xO "a"EFPTik?}]ۺb,.{5yx_nHlnkN&F8 tVkrx4Yd`^q}VQF^keS;hZ#x1WFWUeiV06Av .7^>T z:( Ӛ[\-vdY|6ۄP+#zIE ! F132&Z7}1:~AC3ݠk(gS%W%`M2+Vn`v7L9 *JUw rkMr`d ({X%e}x9J)j&#FG9:N2l|k Rt#u"oa]/ 0MgEA"bi xp6,wtʈ<RJgES*\J;QAAI~M3zv|wp_y g|JOޣmj'<;&jDłanKK-4>D< \'WWd ev3_ 쒧Ofү~X-'2RR7,eBL5Is0ٴA7Wo$y=3=W}.> $MJPDI%%Q$[*WUSȶT,rX鈎(R$q¹vwfع{< $Up9}~}>ӗ.!'r$g2^y~210@6iU þ bDu |qy&Sh F 1BCMWmd+̕ܫ'NԮ3́۩!1zģ^޼(Z1M `r9F+g4%*_xv3:!%"2ҹ>h{EGX>%%0x6Hsg/Ҳ !pf?XO7߻{my oX!5 ;(`lޢV_PW8R4lGa7MחS8eyH^jqPH 4^|,BkY.Qm,mOp&2py͍UЋkӢD/j%z7J6<9B>{ 3Yؕ&U'4_sR1%s֯񡲲<Ԅ%RY1!XS0lxa,egzvĖLvx*S0-D-rPLeoMSQp x@-hK~$Ҁ$ZB+ 1qM'7_,bT-1[ QU @i.Ȃ`3SZy cN}ҩҝ6LO RM7kgHDx] #iMC `VXo[IMu^QƼ?l#F|t"zv4g) ?21OsF"B?*׌F'j# GeQ -j9wƉlxMk-y^L噧ɴT)p(Z===gLIR6=u!t_63Y,O:GwMF JC98{NhU~nuOc>s.Ʈt~#o%~]>jp:%7>hLh MY6g"{ce@w;ޑڝ=C~lE=R&#Τw_ө J~Xd^forDgNݠ:ftQt˵={|PX]% 刐T5\*sba,-Y๳ra@![co(BN GWrWtKi&5IYBַaCl-x2 Jx0QƘ'Y#33|Z}eNO3&5A^h<@{`9ߧ}^%ob(R~DEOأO:t5KyM O_zz'tt!g}k`{HWvFbQq ,w bt zD^$U ?un t+ٚg(Э3R7 .&]e/*_*1"썯5"JI*p}Yĭ2s;%POFHixÛu[_O ~0IT9zy0P2>eK2w eS4EmN4E 8kmAVRpgZֺ/+*ȍu)T&z+*[. k^ giX}! ַ"RQ6؜q`dNm>떫X!aa$y|,4q}f5n~X%m+^q>9Hw*/^{tk e\OSTI`lVe`UErӤbp7'Xc4a.iԣߊ'`GowP(4%1еaR|m4Dh_?*XT(p@r@:J1:ctsCaB@[Z`Osi's&M+:E"fv 4%Ɓ6%+'Kx`*J@TE7h艨"֯rVVXyjwmgqm [SuOJT'Q(#cizߝss70⟥O?@"z3!& h:ڗ*)Au!/%2 ~@Ix\ž3223>gҭ7Nj.Œe A4H:FW|fT{IU 4S#L|43Qt,%mug~8g^ G^vpN7ӹ 3QA;cG5`ප4cS>KN27_HNw^=4NtGҙ+-") zDquq-}/~@å[i|*Nbt:#afPr\0Ji78,/HDa<:H=¢="T'}hцiJ+ӘN>2!#UZGN+fK,2nE9,\` P'~PKh7$) Ļ;X:xtookf} QN3‚rhݦ-cweK"7#$!RĝWnNX R[ro"Na&Ӎ2ȠxNxz$zw ML5p sA: #^'5:/k<oCpzkl#{8 KL D*˵PD~ЩQ !%jQ.`𨌠oaxӮwx`>j 7iz"x_QekIJHȑW*aA)N(O(* >lUFl Ӎrhu!ڡys*G iĺNYVV{s1%oieCa:g#A鏍1Du ׳\6zY`(`0X{1RcE %}fQ*20]iJ5(8,6O8#ߋH쵟hJt,ؑ*Dl=@6+@* zhbơõ0c;Ɯ 6bׯ 4aRStdc:Y8i p.e^-{;?G?ny `-O`A_ <,a,1&q@pj {s?,bf^OFtk~ms<:9fU:=PWR?ЍFteE\0tqKrK`mJZ**(FIF˜R1AOF7ӷJ},w**t(bW֗y?NO 5cIg[Z=uڥQBVAѰn#^Fq*_şOw~OFjΐfP"A@7CP@ʥq-]K ~ .SAKK\ՉqD< * 6t, &<шotcG6C.;9}prC" a$`HJ5͹K&bM³<3I%?KN_4H'No=g\{e@d7/lX TVCy+^!F^{5h4DAzA#<6A'^0uk^p\'^~vfӺ}m>ZًM5ke5G@R+u(\a ]4~`I1uckuThUR̉#\hÒa0<|;,S=Bt4f6}E_Jr*#4F5H5=z (Q#OۧݴM(TSĐQ@KX^pF%i*\='gT|. UQ-R@~`ZjDP4V>/A{7FZ@6x#g\}o&&&x&"M*YaDu`BBcR`WJӛƈv]{MAQ5K81tG؝-xOf t=`rK}1G|S<'ubg#9>Q\&(Fpw'GgQ^!L Êi+"<w8 $4{(mw0? 7Qrv4zwpD-0$_v:Ϡ(e|FMJ:4@ia`0x10#=ry|wqS1O+Gj'!9vBk-@۷ +S1?~ʏ8q+ y/9kba}6L~ =j쵽H D# Qvj.cÆt@ =" I6gCÞL)]|5`@}\}ހQthScbfv*L}ލwns!>1=@JhD9};g~^{aǞ~ ϤnL/w1Bo_Y$V4xcϝ2pln NCE ]$%b/tV 6Bk=R8laU52`249G0DB׃Z40 {R-Wʧ4b0X."` z (ޫ!XQ$,\QB4p8" Ճ %+cM(D%$e_ Ubrԯ3i|]bhC Ш rS Y#-!ju7lRdi Q7^G * kmWxVG@35$#"J3|OcDcOx@k@|LƗ'@䱶F*1 3+TTc^*P-ik!`~y~($ί3 @dU߬E)oП ѻ/BFٚ?tawa>G0XлS%,fޮ%-*sNЈ0 (AA,vVhx[x mi>w]JGCs2g?``LlGɥP#fAlSM4tE#ߔhUΠzDd8WvU`-"fݔ5١(tSOisk%m@lbKbB }$05e";r\{6?.WOO|Xz"׀sQK1RYDEy@6r>\Cx8ñ)rO\̋('4GPgt{F"BjPqh]ڡ1-d Ka J ks=.1!i0&yډ)ZMOwrTBc -iU#xK5΄:^O_aoz?HoH]N}ɳ/ͫp@̿t!55 yA(&3R<."i o讅ЩnCU#l@%q<3O6Դp-A ʑU9hz]l`G~Q5Ɯwoh[`,PZP%sZ>gr&l5OzG%Le(1@z+Y6D DS'`>rAtt0z(4=wM D*gطb_-L+B0~`<`bCV`D^=wWA֠"U.ʗHd$Q[a zz6D^߳"!j 691 tJh{-!^D x DkGZf%V83 E hhG;>48)h &>:i@"@4W px;Fj=5G58cN.*9LuJƚC HK<QیvD]-V05x=h@IDAT>} yDƻӫLP#t!^D2mPU&i"ZnZ>T9?17; MVd剹Z7atFLF',GAPs,Nk]eAYJW*}Ne{\l?hC#Ҷ3!K]E:Ge27ѝt]GPxRmDd?`.?hcȥՏ  _+P6ĤyײɁ>$%$eG; @=2Y C EF ގ"DP<ӳ5eZ&0p3ϲ$Q#Axŵx*cHy!Ax<]{Qrٓ1e@]0  IvB!xVSb 5L#zv4 x(2fxıLr7<šU~ۗo܂x.C ^ ֠h!%`;İcBgY: ^Nw)]&54 4Dz~a H >G7.)`=:@3maDx5iȂs[^EQ0Mơ%s EL4[b*b#j,CHq1g#M#7@JG5,;2~R6D'̏nҞse[)0Yb`p\CIn(9zCB 쫍tN?h5 :sOz07SCdT8~E ɶ F̗ڝvuh<`g7!]4ZqPe=\w @F-y 2U2)лuO= x9/B7I~>tnӤ=Qn7r͎0F(9sjzSC';J%UX4 T&6t*T4eHax5ٰ:4! ]ik&2x-b:- 4n :C`IF.kF }lCs q/_Kc˯<5"#˵?: F`;/3wOk+ W: N4R }3/Ԇ"oL6c`REJ+@p4Y@"IL= CGxVUG pEJ uhqpm~PJщn8~E v$p{k#K QE;_@eeWĕj4 # bh79tEXuq=HP0 },< =='DM2h]rbnbsoO˖3?^3 V@6!7Ǧ/cy US{bY V)P8/Q! :YXl/ "d k) ϰ/ u{F}F~eyfD4wkEŽ1;-w @E*X\; ܚ[g5fCņ?z_g.#X3i K΅ђ!@ L܍;D^7 *h =I҈[xޖ(D@G$lU /8kBAy YGz1= %#2~1\}N-IM `T+#m]gca[C#F]#y ƾ cnpeɐAQ8Ҩ Tgdzl4|L\p5Ϻ( ϗQC!E4^ucx]N>w}woBLQbQT}ih(;nGjwByfF8]iGy/t3|Z̰?FHjP6v$m"Sv#BQ%P@vmՍsBi}_{岈aCD.]>ϳ,(GB5HFsȲx\Ψ(%乿dH+[ ,7!hS*sj~!u#z {>kH6 YctӍ~*29Gk{DoYcU%x=]tvL6*ig1}1c(of=8v)KSzh(4zh{LnDMzBnoYR]+w =ɂw}t/{{_It}uMwW_(J@e@Y=v֬e>F*P-rjWhrzzd>B|Q.@gch ׊F\yZ,l11c;`s$n(EKa"!E4 (XPuoNCp!Y3{Hyݏ5HX!dS95_ Kp!ĩ7+MOL(K"Bxi5gaSp )LGIJ/ZNQt # LLx@%b,GQ|\sCT> 8- Ry%H!vg2~BlD(z"dW {Qj>1)|GLh zQ\zzDx[>=7A WN hG<0=Ca9!ns AQ>vh%ZL >HI`(bݏ4·WCP6Ľ^ *s g&$Iϻ5haL(Mp\Zq-d-7s^D*3ow!Pd;Q qBJKK,eP!as((QZBXs\^ gnX.CVK6k\0d[Gb8[ey~>6,o ss1/Y92!j;n!{ghmÑPN>}HãYֿHs[2F GOsO<8*Q>*?o#[YZ48hٓ]KSz tVB)aP8 #0 mM QS l\B1.gԀV#l܈0i=aOUތF P"X\< <6ug꣍mwtDžboT5xa3z^Q t!=W! C3bblI1Тێ:OZU<&O R ~\"؇U%bwHʿoh{yvwbe+*J#4$vS.w'?G>KH70dh M'L9y}Q*PmI=-T ui?pƉwa2Zl=ŬG? !roޏIǷ颸X s-ymGahn5wIcPʳ%()k:0[Q'vLΝBdcu/-$ՕPC69OSC7$r謉Ƴ6JdļƙlXLa+j kc \{iׯMg #}ЉQ#қ1*fM{FLZ0˗2 RR|{7,̅'#ж}&Pte`@+FJN g&x ݨvz3=F#L s:-)\1gC1FtW?|{'9Wp<j#(9%#DL>qݾM8m 3;8 Chqp#BDBk aۺp"U8@ f,D=9H{n#-si~c@(}a,gODB2±JѲ6e:4$H0oKJBiñhW(`*q8:\@b.y[sIQKg:&qH p fdм뵄Jm4 c,@6nQQCg~Q+F P|^7~3lrc҈LxC/#5'x-UA}RtFކ-u; :߷zF< > 9< 25Bj_ҸĦW'W &>"u<{A[OJsӣDhǍBvaV6[V8=;W@ fAp}'[MҢq"Ħ,TD)Efҳ~JNm+]ft4uI,yrHղv#d 13qt*{څxK_Nӧ>䎑^1eg׈*A) M;r֛3XuZil:P3X$F0u+q]j1ԋ` F=C)4BN2"*GkݛĄJ}D`(S>Ot,rp뱯>wm_3o9T6OE:~\)]Bha̋9+YM^rprTC2 0P4lު̤>D-&t?ſ{󑔣">2累&=2mtZ H}DGa6>zb4:PTk<3z$`Gi"*:Z(A61Ao^`QT;iRђc2B˽iYiCK/۲4?"FfbFS϶IgMHmqBu>X*,I}V`,2\Ë#a:VSc)("{;b*oC{(`SNiy2e1~}{7\4Ğ2q~|x=oH*`T . z 5^c{r:rV<q( phPrs?MzلT +Ҥ0,3hPtVÔHyb" #[(y :V\cNmuN:~r*u0VYVA Ngu:Ng KǧF`x^=3XcTB Ag?iɿQmtahOu]ao,h_#Hi C+9e@ʉgF:_*Zq\oS&xfh＋9{R vJ8Rf\5|%yt@eDikGH]j(D9wB8X|OQqgrOÀo hrfz1J{5CY!CEdr(T/J ~_!\f>kg@vQSp -t/z.+ d3xn[_]I+[wCY[Cq ޮEOLĿ[Q:*0OBQI*D@ejag-ĽR9ì5R@\ϴ:J;q'R|A (p !Tǀ*<o'@Yn*Sb0F8p}h0k^/ӹgk/SM>{=]xar#ɟ(}xLVpr7]hF‡`"vZlPhaOc [4 %Tshq! 29$>O$P5π-mz s Z(PBߝvh:A8+|8 AJ͜"LT97@aɲ 밟Yt=3Tu^-"gF}؏4"eW` dzsP\;=9 5 80ߢa Y(*}J Jc6[Hf :UТ;yeCӅɦWbz+:@q 8KDDž#1$c$X('FU )篧gyx+J eXYDfo >A0|#nɔv,R #ZC{jm7(U 䞞ez{>'N'NNuw"=8pȰpQl=ft+{tcprdxM# qGzߩȍ=0f:VQXGC]; s6x>0z!!aK2_B^BW?J1֨6AJAn^?OUGDBkD3Kbn#$>wBh{UnQFeFjT* k ji5:~GE_taF_#o3 a-ڽOv8\hŨRcؠGPYe *{"M+B=͐neMSG5OkWi$d ?~h)ִJkԏi`BBy,ʨM50+dl u䴞ՙf8\t42RӒgGyQeY ^aF0N,;`LcϮu ?/`6y~ٗBxm afKX0gI"G ﱯ{7Vp1(#v4!G:qCUN?fc##iagnhʯNm9-xE{UQDJVFa)h2=nپU6:h PV6n6@jC&s#Ά!!}u=U0 wo_Lje)mLu=׏, n2Qr @m!TO"L9>YcV96euV4V9^֡OpE5LӟM;K?g# FksHE\ѓw({þ(w~؊cd|I=bMUܠ<;!vsDgύPx!?# zjb*p~-c+th77TGGG#de*s,!;()Z\?z` .6Au A(Φgw{~^T}pj4MYDf NK'mEk-G&!F &8UԻy09g䠟<} w&:WLH0!YJQF^mm=]xyɽo#{ 0.F{gA6]yڸ{X]M(33lCgYw_'BPLd3 +riB 1`ְ`"'[fWD":l)tM[ #PjbkaWLwWנY>5HQps#Ox1x֠tÏFo ;@Тa< F"P !G{<>&("9 A_bfޜC{1a6йηֈ1T)gؙUծi<P?eZ ek@hMѨT<"JVؐ Qʤsi nz((BK{{"\SAh.&2.\LccV1P4<4٧LӂӓC,r9" <Meۚ6/r[ȓ'?d ָ>mYjGF>iը { RDVD6>fO]ٚ?}3Y_cݻ\a?z h;{Q}E5h:0v;Q5=mS[[dr #2Ký5OAXE)kATd!%pF]!bNk F+ (' F}< 4W)L%iE$WoϯѥGi:` 6Y3ʱ7O X4WOkK|̏X O7e~RD A"ܐ2aw}n @k;DhnQ{x*`Em\ A&aqJ%o4 y*F[Nt* aTk Zpb3+0=ZV#Bs4"@M^::9!A8 o=o.D;OZiaBTvNohv~!ni FL eEdk3wo pz}:uPPžK">;k6gx_V լ@IDAT/5V5T͌s܇)4֠#h'kȠ&>쪗VIm nX86fτ1~~C!`ag]9*gR#Tnaj Ϝ1VcMuπ!abxꏾG co[bCRpvѵ6紉 %u';վF0PBS'Pkw;_N|gWbX#9$eg{(U%zA0^>3HSihQ}BsE{?˳؀S;u4z yµU9V4<7DPm'Rj!nsY 3":P 9DB*$*T/M;< $VpDmTViSg9Y|>󭿙׷^3gk#2U'f&i(gӺGy<6:Mʂ?:)z:c:!tkg ݷCO E]e´JIg? Az#jZC! (A/M`IC 2j16b Ɨ 3*Zh$Q6Lh)6cKϰTx$6ZѪr 0 5Rt "eYr&طzM9MDoKc90X-8qzQЪ[f!"CD:OZ<>kĈb]e}:L-,R;A0gQmitG&MX~`,7b#4v°amߠqZ3#ʺ iB\ b= 4۹ nDK h58=(c- SsÂh  p;'$:A9P+fH#6`㱜gД}DQBC' C1 { ]e遣;櫓4?96,-u주^ߥ HN1`ZCٌ?9*Ĺc F8^&fjˊlgj 2$)U<@Qcxnp Y0@ו{;iJ9Vw|otBy^c0 aszT" Q1aҠKsXlx$׷&*pF GqYvڻA֕Wʜco':>HׅЇ+'s̏Ӌ 7֎J%\}F?<9dTD PbH W4y΄NAH2? C<G5yx7 STqm{sD30Ot, %ԃt'ˈKhh9@G蓆BxNf ggduf;=ӟz2]}QyM7~'s;޽i4!=#yFu9ٲJٟ> *Ux8agM,4^ao>x<Ã)K:aT8-w;GCj4}K mtD4/`a)FG'z}2H}Q^^YJs4?z*݃k% ,G^'ZKߖGTvc{^O?ٟ>4&@.=re>[8_ /h/3;+mRHiҟ-7hŋ4-F_/`'lq"FWlͰJMBs )`)F_]]$ Ӹ|'K7~rF=" @oQrD~ %vQӘhfLޤH[eQ\8/sKf-=8* F/dLê 8s k%*}tJGSC*ʳ³j>wFi?SC(CZ1 k聙hx1J7DN`X.Fb۔En2084 pJ l( jcWX!KA ;ɫZ`x' hA]CqƆm}݃?k9P GWHIT Oj ÚvV4B%}XS o\YJS(\4x|NyJ&y $La|rOA**Ct Gz0@?F|5T>Q㮑+|c\#jyߜlո6&0.)ɷ6ax q#| w|3 Bp;U#Vt3x57svu: jgW.:xgsiy񃴲x 2@;h˦a6cS`;ܗpri06|Y(B d~>_HY'# gzeMBe`/G15;4X!OnއU&`Z]^&uq N.zac՟=NOgg< <6BRv(s-\P`,qe"TIK7APH3,8*7GwDޜ(ֹ'{bDH솴$n&a#82A g#^ctd_ ]iCi7Sl^yGs_h$ VzkO>/E3!rGeCw!{YmIݏG?MttbP?!YNm9t;ezvգofU9dX 4t,QyB!,̒A1i@ "b־:JX=X6kş#`=2b!:I:%N`'6Ae}?(``#l0|GOH.HL{QNGj;:V   { V5}'hsvBbWjCT0l{ 4bLTCLװxPcư?BƊ33j GPD*8y)@#f0dF!y/0p :b0k1'6ZPZI/%,#"FoBFXËsMiafճŴ>RjfGk Lꢹ{7SL/U}Bqh?~xyh{4qf]XDz|.8JW~{Pz_=Dh@"BVXG;-p$~ch}Fv5><=q@JwW!p*V߷B1d/0B(>+ϤPָ7OapK<\/K[ʜg̤$1%q1"5r MHQZ1 S 3 g HF7@?=1^{YƥS"U9%S׀ ygNL@z}S6}>BMWeEJssJsRY>G+L\s,C{,z_6+3pyuTP 1tقN9zGHO~iHG<#bC[ţ|6%Gnvg!N' ҨjҸoqGAa^Lϧ\jzgQRWXmʁTQCTD1ΕΉ/,ɐ1'_P5ֆlK|<4J:aܻTLf;M!@Z&y1>;〘 g݈K܆0x&}t1h'&${{>-/PU˿ԥa{?Xӄ߹#)]/\YYzȺFH|26BPiu_-F'ؠuF 6Y H׃]LlxZw层gAf0j=%zهw*R]cӼ*a*ۚxԁ|C-`p;&z?f.T2Z R))A`fx[>fiA|(wb>G^;&{z޽pt!(Q+$LE}ýTŰy$$t(vh=,&q{,TҲ]*jʈ!>)X>$Pƿ%)(D;Wϗs)%5!Ofxv3>(I)c0g},r?M1Uk'` 5gW]^WikP+ M`yM x}\_ Sl|Q<\=raW|z-%?[~r#u:MQC*+nU50x_%͚e1\'<_g,t7l o.SYn^̘mn:)ϏyC}S5kCYo7n/S!zgocc;|:<.uIPvsgcblmjrm(xMZ:Zw~/s)tTxEOB%ׇֿ{<1aY4F5Id*b`E'>;Ә< GyOm')J,V޲/2+%C TYkuO;|"$CxI^|[?˂zGă|vŊ*Vy')Z ,V((7Ř&S;/oSeսz>KPLZo~DXgItnVJܖJH!䍼v} 9f1ٰj f vSt#2)9fq?nd];0) hiҀ܋ITnZ4= 6`+ӃON9'of9fltpAZgc) -i,ih !'d0;뙒IV %y&%ō9<SFS B[ưx9L};%e7 N#'Xں<7k#X?͔~KK+LJ-O?r $IxZ'Edy7+a\I5OQ"d_+ӗc~e$/JxUˮ;^W.3=8iSJT0")ck:`;.^q>SމR")qp꺄]KQwu^㍻[ZBtM3aw8[k@rE% + ZDkKw\S#и*n:\ "ɝJ4Vh<Lb#n_rtAHYVܡ}@>K_ʄŅoՓֵ+LCdy?H}_zmG.΂ɓk^!xt5$;F-ioҌA'fgsݔu*,|(jY'_)soKӽ `0%P ^%[U1B?B睠nZ, Y) J:;dh(20 cwK~\@i )c|Ƌѵ. 9Ř<޸4x\S Q:X+sSZvTYXh$Cqq_VK1!x,i9)YXBYw̏GN <"#^H:A  ?FJitrD=%1o` H uL0W<&| +^hk|f*>WAG1WQE_1[q[KQK³.гFz}vO1B&"܀s6=paJ6ڟ!y@Ƙ1ù#0}dYpۅ): h31o;фS05muJ=*ϐ T8K)j=ϗ:X)Y?%jǻ;vR4*8_;$wxfgtQ]@ @lPZI~rqFQ΅ZHI?h=Vu41I.'x혫0ضɈe|+O_OeCBQ8%.ӟ8%p/kV U[?%ƹW2z T}Oei+~gy衟k/$W-T,ę fq8A7ffˊuu2bVnŒYܗ*&FI&'l\$<VqQM2P(OBǀ Pi]%쀕qUF8w:M!hE8cZzA,|F%LY0 1 vJ)ƥneqw%H FwQ ,D* ʕ1j>Hrh,2."rGa\^ΞGH221VxD(j)WabA` n*^ ne7CZ/F) O$C=k ;Ie? jO͹i.g?Qs ?ۮ/u;g~7rP6ICk? 툂7sPL0(Mց(}(Zӵy)b ̠`—UvIм3g/V^v }Z䵰 -KkxAsvևOODo=Gx-Y,wA8^DIp'&ǂBl5WwU Vѝ(Ekݹ&w0 'Di3Y>X`Z,GtmẀ 8ʬˆd#{^~]GۭzuMg;J!u3{\!CxkX_X&a{i=tjܯo^gk~pUO=F]{ďQF᷿/s?p 3'gFY11Z שM$8ghj1vH-HNbb*` / J )bL03ʏe,yNCau$m\x:nZܨ Y.>5iCUp[ooM)&=<{vws5Nj;3$K!qx1\2Ř z&"~VIm"qmj;K p\ƔBh.H>1;x t_A5pk};Eͽ#ΝURZS¤m&HDֹv3\bF~a ILVV*Uc8 "5V#H>zڀk_|MqhvϤ,(mwu1yNA4Q'HSRxS9lRE/~+Bguj{I05L\%%X(`OnHֈPTog};]ɭmtdw+1 g`% ccot߼8% e_U0|Ffx&FqW_wzmP(THESG%ŞG  6FQ$QZ;$Y5hktn[+6>'Yft{做$^q'^cs :{Y)zt`Z׵O})9făhh{h}l?!@Spzg8rfT9 e'./ o,59t 15F6 )Z uzJo 'pLᤄ>  g aό@9\nIs(6a$'oez%/~LX{oEww`yFy <F{ɛ~l*2F3#!XNTy+ֹ @IuJgo^<ׄYzh WXr#) \>n |s-p;oJ8yn V4<go}  Tcov/q˲@2fڟt:LUVʝֶ 9Pa3o 0xu8ژL^76Ve:u[s?'LLLs_j4H@8ݹ方V3sqAq*+0 k1T}'!32"z}gedOCD@Ĝa>ҺU8`ƶN翀~5\QɲQ~CBL-nkF|qqqkp潼bN}`=XT!vT=߳OLyt"ݸcS '筼 < W0;P)7tn-_cF,ʰ"^ӵ}/W' kZIrϝ9\(fCLӖ{nXw2Ua߬ݻz֥:a[YE!̟bY\N[[һrʁ9;KOB br"ޥy6nkB#:cJH[! cMA*R m힣E5%usdP -~1m %a2]3Gѝ>h8Lvc,shG#ʇ_[)%pMz#xʓWͬwĭ@:Z(G,o]*~S78Xd{9Wf}S<@=;X82¾k ;|ºkd scbB\/ $ }nΕWr'e- ?Gbf9Ycvc1@ˌ9628=C}'re5=pmjOfMxpҤ:X݇_WLOM=p4_kmab`u-9|Y#3); `!HY 7O$EV8 7ϊzUrakm,sǕ̓ӥ!4iZ質x!G؏icŠa?B`;=E a0S^bMc==w]F4Aq\uĤَCiW ygh6!&%mlr^ϝ*$ r=NÜXm,!3~U"ɭc㉒@ %7tx"h[܁-4bsv LoW,ˌ༘v$M!WKXO)u7:gX艵L)ŪtH\UhHctejocL<7VױwqW.1jZLl~q`uMwzs%Ժ@P^xzKtAWLZeP<ÒngɟO {ii뼀߹,oQX+7PO=uz~XnMgmOR%Ҏg@r_dXm5lw!Vww*WtЋ0^y($ h<~Qz6MOb1Y[jOzoZ.hNw0?Q񑱂{#|ÃXD_ #F:ϘN<^y5Oj4T<,:Jz1mμ=¡;ߌ~7<^'_yEbŨyKJ f CpZ, :%YokD?LW:#*k:)Ga<% D ݷc'< r)f'?U凡&O9V}Q7e}9XGܡ*5X #iPx~XpuSL+N~`S;ŮQbά]#TƎ3n\zPZ݃eʓ+2̾Rp3hk; -c¸[+FS(ajPpj8ڞD\ _At7_<-~Bz1FRR%A'q~b'U)@1 \e */_c3T1Vǃ>.;;$ڶ6e J Nxn/[P@\I;㿔2me տpm'VEE09_#bt0+d%hp,oux̙ڢ7Dǿ,/#u;XVw_9dq"odާ=Nik K[rXo}XI-|{Gv`kَ%7ɪyZJ輦Q_'LJ}2Zh@A h;@ˣQ%z=%- Z?2f%ź}<:w3}ŤɎv*w6htI zOjŲEghv4rKd{.tF,тaYZuGE`Zmô϶K(!u0Ey 1dJY0$n ͓h yyßǖgj9uV#ѣUDwp3]Ov-7R2"/Q3JD2}Dni)tjO<*b^ me( ) 1{.> ]rѻ.,S רkI}91j=VJ9Cn4[  Ug?)4iQYVx9G/k 1u!n+!+~Oq[wOvb{S"VL[f;]Ⱥ-:mͬ֠fq]X=OΡ`N.zG7-xDlg%Ԋ*X4E!lW} -6@ⳑ!N>]|pg)'nbD!u.V/|{ DYShy2)FCYUP7{gJu ߬Rj:5w3Tia6L?Z`~`prG51w(DIM*h0< C)NhX^y/- N^M"%Ra)ʵRׇxHy%V.еy\nq!R5SiM(4K'X=Zm_4x,H^#;`]}#c^|}o: yȾ|r<ڟ𧃘xOfDz't RvQ;:k8AIp7=;'\qBXW%Kxb_ܙاqA]; t[1&ԛ?B \Y.BYq߸փu? 2xi%1_mZ'v@՞i2""Jxms8ձÇ s-'MV2ZFCW,]v;{3Gã fR-UÝ:k'k&4MwD0ivzÉy+RT=p}db5!-{Qݠr]8>nZX+TқtKЇ i^#FV"wV.aXaGɖ+[JCP\KEixXs%3L~waՈr/mCl;*gU&tN'KҰRY]"_8t6>Ih ptcy\ys}?ge W>?=u:$fd$|ofUlշ};Aio4cD&1lw^$~(7Gc=unJ]yX?cݫnΡBl)B,]OKy;w>G<_x.+;9]:A= >l"V&:]ں|;":~3=2^rqù}'Sy(M,l$0ED. Ľ?Ƅݭx偩5u?;k]-a(#Tb>I Nl%R|;Vt<ֶs/܊;w)_jr'V{y?y^w$yBpsCah@nO¿wB!ƣB:B`2׿[zY"]0%dЂ /[p"V4-c0X2MoT !N ‘.{a% f+ 2C4K);?r!{#p($D;1*\jpk%=ԇ 'ں[@KL†0Q Ůe@=V41js|NL"9n2} XnfyC\8փ+>N,eu:1M ΟOgNMss:Wf 2ifڈ5lwF'b#`E0-wEA9/ HWIP'Aᙛ)0mr ^ $Q`A`ƭ Oɞy 9+M^#nq(b@@r/n^nJNmy#RrWuIHvOd*up]D0N@쭞'qqf63&4q~S97 o2ᏵPE(]:WLس+V{|O`y> Tk{ww>?vUvͯ}n_)U); w(O<{TR^ \m"u=;1SbC֣ `f ]0AD›)?~__/ϟwe@FTv/~y\eA\I8yhNjxVyy;JW/,7ξ7@ӠI5d~v|҈kbU~R U0;xafkrJtXY!h:_8]xQxk^zx3e'/WmEΕE6gx?voΗ_L 7@,X`,ӃS(rf팁ۂY{hkI C^3Ѷhy\Bh-BCX ugVk3Ta& +Mb*1)p'w GJ_YS\ Xŭ,aPf?!s^ lׇݗ 3n0[-oBhDB$ +Wg$$(HLu+$%;ꭏrH?"}!} %$i{>떃᧽pg0x2fB2И%*b.`Dx:8B[!ҜNgu(G@;\bKͿv]+wN-jז~哕Ւ3Ez.CHDz]uE/P.{g`B;y$mp?%}@AD\,Wr̒rΒc3pY8HkǒF'#xntȽ/gak 9 ip\„ϰ*4Dڮ=鉒' Rs E(t8){)1 Ef/PW*b#O%YɝA(axjܳZNR7 ‡0+A{/}J-Xt_bw#LXk;e(]z|.Zleu,~sooϲo-1Մ[>„Z$F#{R̖9X7O_^?$4ᚼ<O a;_Jֳ?z0aC 9PJY>盶x{ @hz\&O CP%E#lN!wMOJC.CXzQ^=-yϧȳ~Ÿ'8O*?>o7C*P.Κ oy> WQMӑN\@+1Xn\R!¸V!)9͞j`A^:>Is>ަ4%Ȭ EyF7 lݬ@syP f,јNi>ӔډSē|k7+1!2ͯ,K;>Wüp&MohGlĭظ K+3p{m\nWq _aʷb ួ_pWg/g0GRëOCyX{v<΃`awb%b#; @ i/5lXFÙ!PD?U(ȦU&@Y0(\)IޞAh}&)sǖ壧Ou1C /~zyVDIsK $1fxyp-TҔH7b>Q4bQTR(\d_O!yӓ҆/ 4eMjKOwAu %h 5JD1m_%O c@4g!aM w)bFJ 5 mҭQs(F,w˔naw#;#Nx\L|{SfdwoB.IW/ݞ:_y0%X\~CɽR:V'6䋡ZHҬsè%iNZZǃ}'7 )ߍ._\-ΫR X{WhZ0Kو.U9qV7LC)7X#I_@%o/ wZ<)~f_Zv$cO{ܟRyH9bx=q 3{ϖMIv/'7||?9HF#Jڷ_ Xf/ \yCwsN e$VDHTQ;LH Bx ʄ&Dicv ER7π0$Y 揩DS=1k01ŗ0Һ8&džxAԽY%L&{ZfO@ez {Ƶs/+QV ]ux}XѴWpV'z׋}3/,oBbQ{Bmw_Ӻ)6x8{vJvEop/$/ Xyw:_/+ɷ0nԸhsy y K̦r[|iy鋟XgVpv2@F kP?jm|)m%KD77M џh2~zs=np]L~rx!g(K=aIo}!R0!4 xI ac k5J{f \^it!Z C%!$MĨ:hq<= թƄ|At !t!N7=4ҷl+v6|C@F ״ѐho:9a>30B(Qˌf>:b>{#ؼ=iTԹvpeo^ }BF1a[!͡B#yF G`0F0n֐8бFnI!st1#U X; I 6}v>ߚi0]saڼV`59`|h+YaB]`(J(woFXOr '1q)6Q)46+1=zoUB:AiX?k50i ?~h(gօ׎?'a= ϓgg>yepaRG_6d{ttnȏ7%z:yb_ R|JK+AS.4ˣ)Y勭7㡇u)+]];ڐørt׳i|?Y >J'z-_|˓+LJF\|h"c.{4)zlt&B],9pW>S]~/~x~Hbx^syAՀgB K(3>ۯ>Y_uj3?` .31K~_/@dCS4@.J0Pޟf1-ף06rZLXJIIe-U]gpfe%$=ǗK).O:޾{ ˗>~bo|n?YEUy)BQ4s8U'`,x@˃U^<{[{XY>dܗ_TtBʐi \e\Ix 6x,COfA 1z]@<<+E7/]__f FBƽsc1$u_)#+V35̈́2w\@$6C+MlWV&a?}_-sw0z)\11k5q&ddH'FR7 Q[)Ez?WYjCָK`9~)=%MwFʫOp4Y"bٛR  2Ϸ";)f}n Ll1aKJPg-rzP#G1`1r}?${ 1w /a{[~Yp7*ӣNh)({w*}:5H@%Ynz#:%nj%oeC!u$HSNj^F.)޺k󷖿/rҍem v͎xǯ]Xnԩ4wGZw_yJ픑~OBhX>NhmCg{k`: a4q/9poEMiܹ}k˙KNt( 44_`_R+O m%+ǫq^ W+%~,)?2W0#»8kA7\ %n -t#Ԕ{S)]N6ﴦL0mi +nz!";jm@evlb $ w$Ԥ[~-hLoޘ nQ#Ⱥ|lvv{M[{s`/CMJOzoF4F6Z*FZ;X^Y`#F%!nrP%k Akl hr]o"vH)`9:5BÒs5,F a1( kq>+kHpLB ֞v繮|ۃ2/4nWNQk=BZC3B2z\ytvn\hw߻}|/=lz\t~\z9jdn;F| °?;Y( J:rx`Ǎb'K*Tw]:ErY}ĻC/pK(2<ꃕ E \4pԉ,!/dWCw%gͪz%% v2fn)xpka9v<1&Bv :#Yލ> hd99SֺHHt$JDJ^CV<#Z3:XǍ4HO^>Rq c1`>^#w{p&_޵[x\( {1sUlfY^U˵wk+Aʭ`0h/~칲 >v cJ KK1è^e:q<£Dl|>wgoB.qay1K 2z]l֙spgR 3>PV5)OZ9XNyłO#INMػU.~@F?pC)R_^Ȏ0%Q*}rgn\4 הN(+e~8w[Kr4"-s5v?]7c`R(dh_v4kUNNBow|\,r**>坟zL쪛rM ݿ>MͪFwsa8un3PDZ Ͽa cV4QK<%Y^])& tNjꍿ'fH'|bˊ$u3ȂZ2 w #FJV¿to}g MS<(CoqĽ C5E]ދIsTp ]r3S[ߛg NuBA{_ä!F'ԧRm\pƹc 1LVv숪Ӊu˛ Z+ρ8aqJ VY7" 0\ 1&ϥ˃_Uyh.{Jlm(sŒ%w;\' oݴCP@LJa۾(%8پJQ(|*W?{kEW>Yσ7fk'^x% uONjzj_VPͷfsh=nYlޮTd_DV1ӹwYv<GFᄸP]I?0A.C~ ;}I&LpRVASR<`< QxN=b2c[$v7/AJܱ&Ib~JiEGYƎO܄ۭ̀Å'3f,d_ϝC,N-_p5F5gB zP+4p[ܽzr/-oԝrtU5Yao';<:S( «2+) YsJx{b񍀻ZAC< Mj˜{JH! phs\m|+^HUl@ޚ aw4GMlW:fZ>d#Ha!8UZ}ҾQ}"v OÞNfKBbbp\ܟ7#uUz+y5c)-R0rO˜JCdE^rrgSҵ1/Đ}!j"*F )11A֡/ e!B]a_Wm} O?o>ߵQb33J뾓sYu.(H"=GcO_F;=TG|-CS}NY{?8o?Z)`^سIKdWph7;[1Hy,lITj+@5Rzs{=ߝKq`%B7,(.zM8!`^癫ޙhB&a7|ntMZ;D?4m᪕5Qi:3 vG:vZ _*k”+]p1/W|c_^q[vvziFQ|=Fm)OS{%XT2zwvAa2?118޿0sxڇ?K(s_0Y!xv,s{י *;NpI `~,I:8}/=bX=JYrյ*! zg"Q1jt#/^&ٕ? X!G7\t^a)J?ZMu䀜{ۮ62˜kø[`/ˁi%KxfkR#ĺo rqr;zU*0=20:Bɧ^#ݾ_^`I~FbH:R6bA ϸGyDl<\,O(~O+#ZPb{Np퐇>ǻհXKɈׂg.Oe9ZXȎ68ϼ,CHUsIڪz~7_ȡte(&7l;n.$;$@J5lO{jbxMhǨ3B߭ZU?ߔ.9= }X%܂r!fb{:hʇ\Ij=P絸Y.+zS*$(tpAcҝ0:h= w:uӞ!wp q0]vMAZY"iy-0ɖ-\0"4iֳ Ϫ2ݝfVۣdKk$H aMzI,at?IbÍi}ݘSxk_ u֊ Xnu ߱ G ڈʢ=Tӟ*9>' ?LB|D; .,}f,by9~Z$l%ĕoj5nVޡC+=odwVQ<쥋yvas$aRǾ4(\gL1Z))GJX"$ѹ XRƀnެydS h͋v1]7) `S30⑞s"OLYK "=N`l$V Hi#G)jj=sMo <!G^dZw}8~gvͷ.;ZswJo$wm!"k!O0;]p9``ȔD pv&y#ׂ/<x[TNǃ)# )QE2BjuB95)ֆfdϽU0 .0b 6H=!_CJLQrab[h2#e0JBZ^?7x@S d*[hfs<.yco%;SR,A6ԀPCP7t(oHWhݒ(-DK;7]Ј0L18HC51pj0"7%Yq. j]޷ĖP6 =h]CH)NQc4B$)351\ׄ q܍i\jipp٫ ż6ŏRr{ 㶦\'=yY؀A<beﱘ =fEtw}dMXDˊ 0<+)gwO<<|8i\&]|c)NjWJZ2[B+:*7_ziyj/.?%TX/~k \pT[k+K\:t< z M0i  -3B4K߽r_x}y}q9> ;uiێ('H!ڴM@qw*vW/&/2Y̗fqđM%Dݣ)<vLlOElV! g+M00P vpa&Yƒ`6&cp["#Tx=q>'ܟB7 zs;okoĤI {dN%Y e.}Yٯy>&tuM$L~3/$ B=X+wϝaָk/HpJL!z3fs%4'?GWcZj@%RJֵ408c ayꌄXzMzcN@pt yQ87z='#vp,BMwY"2\z_ 3dS6p\Әtu L7\O=@,-pmr  u u;:unD `s۝;X3$(;ƭA$Fj#`{9{wև'{ ||Fpd_3 AZԶv\_ ¦&ݎg-q0<^Qg+x(巡noV{n6> ?|Y7EHH'5AUj7k:²D(eV{&8A·='%!Xc>3 WNe1-16=[)|uCXRyrs?.io8b<uL 8 1EF0;ߦƛ7`'`gu ǖ_F½c z$NkD8`J꺾00D}KzYģI|W+r$$'2"[ŀ,UAjr+f(Ke[MS &=bÒhkw#*HV+&u^h>v\iB0'k1{1QwSs2[ϸl"ڱD ԬԬ'>Z㤒r('Rb2ҽ\Q,?L];Y Rz@X\XsWiJ>w\U'1au/@\, 2_%GF}1_b, ]4sZCivp,^h1ԉAm\CA ?4LgZF탐}?%fWvfbј1`~c˧?u2wϖxr31DMj3x\ë$ Xwoq̵@O];ZƩopoݛaK8HQ=}@ ,wF.qGRoB[aY!0G IaD4_ 3:7[v)McG1WJmX{ B*/#e= Ǽp1gp;%G?Z7lx'[}vw4!3W޷;Mn7o}$QW&!6xgߚWfݾ #\;Ok aS^Y1>畢sɣ-6 zx 8zh_S"o9x lz\d:C{N;5rf`LΌ;SFJeý 0Y+^or0~✱C!R+;̓{rY^]{{U.;_BCZSE1će@m Crx`k'or:\LY.lpdrؾcǗ#G\^x˗k˧?ȉ]GKi] s̍m~AIdqǃԉSo~xiMk?'0o貤~ ōu '[K7Yyg_o/_x;¼MMeB1S@msrG yחwUmϝ Aa@)𗇸 '9.(aޫO}j}2 |g =rC~'…V d>fw+W<+kk0o7xd>f_3Rb4S\lGg8}e$%fX݌H05B#zG ɶ}иM74"jsgj4w⩄˜M@"SX4cFc@e5']=&0p6=$~jO%H6^Y~ !  bf3C:[ՔRa00G(s\'aXsmRoZՠrtx"|~~!JbSO-'+[=RIJБۙ -=;tdռ y[SU"4HK.ʣ?^<{vrUT&i}$/1SuHi \9`My15Xaŝk[|e3;ѿY~~a>) yx4jYKD"x͏9YO/,w?x21[B/r5 ];\q\0ckWж6l[^jfix<ۭ;\<&x`7: rJHϿ8)poG1ּdRtzII_8%xY<%wOOÇN5J DSg.ü\!Y:^U'?\-v 6ס~5wځzsSc68W0H&Hmdh'7$|ʀ1/<ŮgQ)ّC Ja9ͼğ دGc7VVn2!lo347u1wIr m7t5LL5ajyE'мMvkjޠje_ kFUuFxEIJ?m14IÚ?! O QfJHuR'^V$g;V,Ar(*_tc1(ssɌ79wd[_D#T eyon _o8kJks fp3N<Z.~<3P b߭Z Mͅ4vcItC3e& %%0SPJ{4q<1Deh#@q=]5, < R|waC0M .Uc}Vxrh/lXS}es+'u M#Z8QzmX_o( ܶQ5D }ɊOk84hitleLW 9%P&k;Õ y{&fF{弸e:KWw@ДIՁ| Be6)ꠗnSo!/O}m :g`Cy>ؙ7"@qsR@1h-,Cx-b|x.P#D {?-<6^k30' %;/iOٴogSO볔ۈJu鳵BH``_0fy!Ε !K/@;+UW>ʅ<,)k)a51!JM)\ =cW(h}ssSU4QR C#hWjcӋ<^xS "9 {/(ה•G+ۼSkJs8<6WS #st57U[C#-aN-?;)1(V/.> @3!MpkN=z|0&hu)( 18%6(xr)ߌ<(eܞSPݩLKL//_ؿ,[>ab}DtRߥ#lz+ nޞ3|lK@M ~p{Q{ >:E7/4$Dpop߄̌M9I+g}M?ƪ/=n*}KJvCkCk GNgAGh뫛fiImkrܿ?r*-$cM{R"R^)-XeJZ&[3.8&ay]YVT\X152; 0V{-ҳ]&<~m|7.ob\yX>$8_jU@҄lcdڒu.to4<#F^l̅$Xq` æ0WH_)OWDTkە⯘WM1G<%ZK{st[L.FKK[ˉ}9̹2ub@}9BV.(>̈́2{.o=[oaCڲ_Hj,4T ӝxF4*Yh~E'~BtyxWxI6@ :pH~`v 7D@{Ɠe. )+]7s[?>@ZP;^FpI1~Ûy/1G RХ2١4ӟ"!*,_ v.% lp]}?SH{\NLn-жciygo/'Z Jѿy>+Lϸ֚x?ƋᡞPTZ*%`'z_׎7  ƣ㘭|f˃#y:~%>SXobR6v &QFvo}Ky[w,H^{"^ %ʏ<2]W{DM H]xa;/o,7~ڲ`wyƃx]r%D_U\ 2~ EzKkh[;dl]Q_ +#6=2]yv7çɓk&`4$ftDҩoS BLݙ!$T,j.DX|N ij2,|iZ<cȝN"E1焩ݜb,[p~f $z-[67QȏQn&l$dHD1F(bp tn^ϐk#=gD02?@YwkWDL;JP;(hs-<7Ia oeiI^'0?(9dذŒ Inzk8]Yp9}߶717u.27"cd!F9Ij]8H#E q ,{J;=.mz>K,qr_sфdLy\m\5f6DWm@PrlmׯBTn7Û='ˣQڭĺhBmys(W/[~}'EzOoO)";"~!H!j~V7z|wbH輹/_^,da?Jtվ 呈GmaPUWϓ3Ծ8x'*aVS΢ vEO38*)%ԑDxOZ(~APr(Wsy]}v[.ۇxm~r*]jBrnk{ sQߍor %(}0L6_`$\7ȑxr$ SyF!4s$Ihc63=LjM&S_|# ?VDB?MzP@]3=icB[(BAA&tyq{y >wgj@ZPre(Qnp)+,Xo kxX;Fx@[CDdq=s#PP 7{tYPlA-oo|k|̏A+rr^ ׺)#W}K1ʗeEnNnVhH>Kg|-[_9,t[V4wy޽g*|=^ʌYxTwmΠp&f8rRysO"Ah< nlj/S,ɄhD)=OmoeR'p͌ck_-ARR%!3o]G!n%^.F'Է3?卿w벾}jM頮hb}*i#C]B#awPV¦3l˩N~֓g xfgbH:_K/W-ߗdwBƸ)d \bմ% "= o(BR0qr99-m\8@D@iEJNjB], qxRΐ#|"KEu=Wa吝ơ.v茞:P+B, u%N!n=Clᑭtn)\8n4ƍnlo9 *t˃nԏ4!y )9N7A#v Sj&}G "J:%H~-k cVX b{GL/ ^%s=Z_,X) #L`1$c{fni'ޑz)r u/xwyzٹ"b|_Yxr|{5\`Kl8ʃ.wv9|'4W?-_5z~OY|3!N~,$օ9p`W,eNp+yvDɚpS*a10po.l\(Vn4%|~1p{xƻ:gbSo< ϋre_LaU":OuKU^ل4 )%8c]J:sx ɮ^Z>ka[+~w+|yDݿBYPIiif*fvOfd!zbhao< />e*Hr\C#0HЩz? _zmd|u9/Z<}Sn^?X> ٔ;Ւlt˨hFAʔK0Zƕ//`CÇ/_Y^ɳu+7`%E]0%ەXWđSů|mW^˙z\?s dAs!`y>2GTyO i/o/o-32ɗ[[3:bx3)f+N$ϚWٶXߊ>Xξ֖72g-|V^yb9o7~ ]*X JC3bI}Je6h#M݃'A-5NװдͭqvҷȞ/qZF sֲU&%!KYLa Z~/;ܮZAfM":Fx-5-<{ƭܶQRr= QWq7A ^Ns9CrwuļX37Sz(3biz[PuCe :]鈒p-&'5fy#1ӧSKCMXؗQZ/fi_(\m3MLdF!n:ޚ;ň'TF;3 S):`P~F5\q߾z{eg TmGjy5ۗ"%Q{yy3˯~3%bM6d_L@{͈F=#OO8NM~^z:މeBϚSbÜCwgwZL{O < }-$i8jޗUJi%[fc)eb?(c WCq❣H*CBK ڏ(edV̀ҞSXڜ89*=f~VmÁj7 )BK.L { ~%l=084WE5:s(t=ʙM͇X]׿|#|<s*ag#緕iލqs/]=3T h|eހXyȦvXTJ#DkmeԴ[:ztgxjf~ڷ? \FclMQC;=zܐˡq:V(G og]{~~\/F26Ewj.`Gc.Bw`!e1r֪hL|je_[Y)5f>JH )Qו!ȗrxGvhRt N=?=-zg'OϾ,AICKNSzjZQJ–14;YZJb9hn|N7N"S l')UMIt߲uwwI^\dcq!rYs[&A[j2X k0z`&yEXeroZҟNuIHPcELǀR5GL\FUmHԳKkKD{W%UmB_a< !-mao&X0[37J Ϫ,rgrrRlx,\eiS U ^ cxWM`Fy O(e@Xm ~ q!a0l-e:)cko9{#x7<]Z~\y(, jxj|x/z_< ~k~:zԹqٵ9Mh4N yvVp.GӣGecV1%ns>~*#)ĸ{%07.,IaU`yp)JWk|B? c1,Spܟ1#2}o҉Sé؂07O)a nZ4RZǩwHE(}/?Q^\Jx&7J.7ָ|z-&8 o!"%w\]%ϼؕBZt+Z Ij8uJn -&Mf`NHS5Jqɇ;<̉зE]I)ЏDiάegO=T.˩7^fD<6MQߩҺz u@rm}r;c^^e

CfU٦JH۔p'VdQ;U$ƭ#6?[fbVe$ӆQ@\A5hTlʋgxMZneo*ѡV ۶z H[Ƥ=[n{ɀ\l+\-҆6~11^̌ dC1凜2DB>N/}Fq'>ܼ4Yȣ)8_Iwwz wü:9,o}+нj{>)Lx哹')?ϞY& .ؕd:{n2(1js! ȚυonRd쫻kJQYAw y0-XE[`Ac

kNJVʛKk&,i( .-Xʣ>z%E9[a5|۫x$S{JQk?txm#vǣ^|~ѿRl܉zgy_]_~ۗoVAJdu\@Hv=U4|h+'K<|5Lдx!l!;mJQ^M |4u0Ӝ|<~QPhdy<#~ұ{-GB}٥ǔ={of鰡}≺*~7'8µLRHo{!bYZNy gƋNa<W,&ֹ2V|'tЌrJ=B9(r;ǰY/G@ਃWs^tV +ƐrЇ:-Mw 0 JkoXܻ{7?ly-q\jD$#d.kYy*SB8,4KMQ@ϑÏK&Ky(Y:S9lc\$:|JZERqK |Ԙ<,+&_A_mXFQg m^2b .-1hP nlK%n\?@%:pZwZr Z:Ay7 S\Np Y@W24 NF ̐"!c0k([ĥw5Gs7xGJF`Q389r;Kڜ6Ũҭ<)=$^e/3}H}50\߸<јΣ4)NVҷ{IxlM[kGxN5oMc;R2LG; f? ɭB8r"BLj$ʆKz^uVJM(F vgJr&m.}^Ƙq?LJּ-xz{ 8]~ILXtymG~e0B %/.Jufg\x<]GW,}{V'd?ZYxc߫.kIjc,xc9#UJ<@{71/"0k`Sݻ—]gs !݄<9gt^M1۲x*TI<Ӄ•*5!6?i4+H9=O!rFx@6VN׼ޣM˟[ɢ9 aDu=5NABp#>]z9C}`Ň]O@ܚ_Bd427T* Ϧ4 DQ%*&/lK֤c`wp Ϊs k]Ivls}!sΖOǼʭe[syGpC;}I-!9)Lm3|B̕3 {RCC; ׻=y@pe]k__XDͮL"bܒd-Lu%Rq6ؐ53T栂6~-]kK | C&u^ݸZ0u5\2 "r+nҧu.ԟVz3c\mX԰7#d%KQ"6羓TMVw?%c+-+1A*IYcAvZôGyQn⾍}+O{ :Q/M}-kA=B .$0( MnPhW9=l,?0RL߈ڕrz%G+F4Ǹ( Y"}/j {Bm3nBJIb愃\G0@l} +6x !xHG^JEsGhpC0m=m4TLx' `[ vU$ß7Elw;|7ԕr6OfԗA*`WƺsM?ћ%ʘdBGp!Ogƻ$GИz.SR@IDATP A=8O{Y` l>}, ))N4AkwSƚC/8b~rx%?|dYVy1(s}3t\.nz΢n>!=,@zJhF?WC:!=rdy3_Zx35^2!f~y-Yp,!0ް}o.L4Mux FW6VYó] DB'#ٵxk?/<}D0c7(Na{~2j3j y^dkټ*=g|@S(`2C $fV\ohn­?W 'XSRZO BUNUMWJCQ~'k&h/ pij};狟T<ӟ>T\^r0Ν< KNOx-162:Ԭ屎>󟿻x/upFad$/chP[Gn8|;Z"n^Wkw.wת2J~vkJ t-f+DPAks )5AbZcJ8ܞLo.!9zǎrdBF@A8+kSZb󗰰9?I{\tCysu.G`̒@<%3RvE(JXƬ [y D,쮧ٳXZw"9Q">Xwy)Kʠ1M");?[˺G VCߤm)2bJc-ZBO~CTrd8[~-x[3kynD x$ntc:8t| ,<3CڎBR8x`xNW|>/x3G °W\fod^{#7EywnaIܐBQ09q3]`}^~元ǧdduan!2gF`N,(Om:sf_//^e%דg<)h:@_<2|UvNe 2 C'g{tk &mQs-^i}LkhCN2&H髲#-[w:>3"`Clgd nb g>MG!%(5, Nu}DlC,u `9+u+⽚yFGLѹqO-t,v0HO!+A|l &gVRM'xvצnh)[,׬)z&5Bf.(گ :_~_ypZx"+Oe^#Lzb66xD`mq[eӘ,qyGH@&2F yGšR#D7Vx(T~1\[)xbuX .JT3uy DޏujU;/>^V]^ov`c=Ug_$gڳ5%RUp0P3/LHdu$r!")偲#9.wℂVO!+_9ͧqЎ*8N; @B K?2 ۱!a!Ч8UqIBlrR$zo<9nacGX*i>֏! ˭}/O rMN]$|wlT4 FQHOiCC.W K jhqvFC31CSdӾxMnQ^G`%;RX[nw-GNQ@[/ɶQSHkjׅ{sr}:Y8*o}Wq6<"1 HͲXP$dD最 m> 7[|/g]mnwY<\ޣ8TlL6ƶCZRs9ܼ\i`ރ{1{"œXj]Nb%.i(J5POKJ|߷¬!DQjX^i 6$Ł򹙐o:w#DaOېd,&C iPTE%"`w͟`1CR!׷ҚL 1Dr62ͳ_AjYՈE ^ =wSi_$Al0AϠPr[O}n<]BR:_'1iل7U*aJ.4[$==ς_2\h~|?[22ogdj8h˚L緘Ԍ{^5m_Đe4WQL&Bc5+OZ4dşxهϏՆPЧA\eO=UXsykRHw=T~(4úW: MTd92I +mU}s)6|Ǘg}t:K> #7mfu iw価@ES\ʊJ H`"Lϓǿޡ'SJTڷrHJsRMz @O'Wot@GDqFRrr$J`(h& %[|ldiaR< "$5+sS f(jYliKYK9I6 _-soe`7Mh>cw}ĮQ.ǠM:ꨆ;bG,\iG2)]#)&^鸦lZfVF,CXb cebY9~ bMq"~go4n>s@rӎ/6!,eyD5|z9dKjY ߋsΩe [l9"!yK,6Ip u{?*O g",Mx#>L%=)4XݦzD$m/gM\?de>=z*uSZ.fARɔ,%)N cJskk):T^S7"sgGtHPVa$f$!!?<{TMyN׸ 3+\W.3鼺eMC)ф?|uɝ9Eyl5f0eYbDAi04՚s빷~B+^l:`4S\_6㪺Bb8dh\k 0'5'QXcF ΖeW1:5ENcI_L\+/~̲dlM}?-K;a7K!,kH; n3X67g˝P~UB@$QH]/BZN[Ac:}3)I4rxTRB(ﻆ.!1Qx*Bơi< ,2o{X!Vgnn{1Lek1[.i%jK(ލsHPe^o9bx7q]ßUG\{n2+0=վ;!;'_JW'c>`ܮydM߾"wO屿؇%PiVe֙5*j^NPeS⊛c wzInjsÛ֮]3Z@Y)-jy)P|^y` k1D{F+ۮ$@{2L=UAOX󡼏`8_Qbk<EI,wssX]K8SvS!ŔY.f܏xsvVuy׻mD?=ɷћ{_N8Zպȡ7yG];TMZVR}aQOyz{7Q/p"c ^ 8a~RbsRm.d88,z0./!侂o2MQ-w#:x ݵ>ƛ˞Ԩ^%?GU.KOj~Νwj`iO=srzź*f n͗!S,V+3z^Fh\?ʶ}%?fx#kuZ o9m'5;>9>URu[k˩d2akl*DH-G ܾ CdlF)%7~{9ZŗMV%slAcԄ3dii2Su; ^=XxψQZ@4,0=فd+ 5,u4x!_ ?B^Laܰ0U5#zyyK5N6'4 j$ 썁XKVkIׯ=h ;ءOvh- ؼ:6n("n_J ?c|ԜTJh~CY"/@ fIU0Y|ndѨxZsՕ,tǎ·+7GC[}R&LYLPHT΢i?- }.;:]PmpƩ<904# G)(,_BiJoy&:1ӽa0BB֥>UȩpgYOͧYxvW dZl3RTf _` Q7W~34uǬr rTFfI H6>'ZJ?^g(8 ]t!~m9z  :դ[)DUw=jۚnOG>Yܕиsok˩K G "W+}ؒ qtڕ( Y njt):Ӝ:~ބ&`'hJaYB!{iN?&(0>кZS>3A>3ّ(Vzqniv^9ƈt{j Bƽh ]a}=vƈ+} `y&L$GĿR1n{d~aݯGfB·sY:j#gu$=P:r+J<нٻm<*7JUot^BX mNu-w䲼b$Dpt_:CȲՌa%f{Kxe̲wt'/J3}Aqq{54ͮso`ga3樂JbY9AN8U$ę[V3M]G(7i5L9鮝YBe1~" #!^~=Ox暾]0|'|]}3a~:fS3kg7?򹔀uᇰ}կί~ЕgZG{Ժ\ 0;1m*9`P+Y? :rb8`'Z~R"qHwe(uMP>%4B+^`= eؤ1RX~oMxW__NV{>&Y=? gX۟E b,O1{Idy7h6ݞ(S49H!?/#>kn! %kG xu:ALT&eՔAuҽ,/m6{8N|L'Uͨׄy~er9ڂ#ᓁ,>akXAn6z8#7p'A,&.^ڪUL\@Tj]noH1 QsKz2qSXrtEa\wCG-vO'8m1mYWehUZbD1WJ$_ 1B#74IjB;-'aA,C|}d4Dc300s#ރ4C*B ř:s;M^C!L9f w_qr|[>I, X/d-nLZ"w^g PXoF0WDL: -oiBP5Wڿ}PK{ ?Ԡv0oÜYΘD͸c"7d0Rwb(j##wzrbO(C]5h0C #}F>>U_ {`Cj(Da03np͎w`WTl6HT0NJ|JxmXQn;0R<:ϴ7{lM sQ7w]:։j(;Xo^UnM릱ͥHJXp]HjBz5J9N>~MP=dai ;|KkBr9SJpJ&,(RPxˊ,[-cbz+yUnݨS]Mάߗb-~Hq`*kgMJfrZׄG-.-/t;Yepd`gm DZ ~_$lyx9%m<q<זO7E =LjqܐG'6\ϞOP:&0|$c4.9s3u+i;-^IwbjTzzFj+1u|x^WZ^x<~Ra=]]>}?xnO?e]!gic)<=2& zG9 %4 o >8 rQ . Ł84 0UpEPH_[2Ve:f~w̓% d^ <Wn$xXayTB[XpvO7a<qF軏u(׊r0wcd=̺]$a^}o*>ჱ]?I{ø{O$5X0uN 2SZ;`b/~9Rr~lhW@=10 }b}L0GώҴ[ Cxw-!"IcW/,{*YQ%GsQ&}+krxly3)j;:x~3>Si!A)? ]7h#M>po^流]kw!tdy xG)䈷w:^e`WFrOghȩ1{k)ZpkKQh)@\6k1Ĕ'2h'Ę i]£b}G5_֭rFm3)W|;)&7/孋.=ͪd>59#)YjzH2wѩK9|4]LHؔ s,0D#J`K|Ry%hGyIfI +) f(A8G;[WS4O(Xѭqƕڼ1_diq,hc Ae0T`T7wMc $vD<{eKY bR托o{]Yw{YVސ+qִRlh%fr_GՉ ƞnh}#]5"Ŀ0(w-xu3U{8MDYd@҂waGyasyXN2jU\*i5A"ɇOtDO!S?൲f8X@fVB4F9ח=B zR\ M2p2›5INf;0BVM`NQ^Evtڞ"b,IH.J}IAo6){qJ۔Vn={(>~TZݳx)R7<SN+㩡R[:jas|=8¥k >Hn]~x]xWx|YWSz/zDME#,Ğ΄&O\k!&͟R"'ڹzL4%sryLuVbOPv!I2| LW!q8ak;u \>{< /M[lDyuuR!_ ѳJ*&>|nHs ٩4NBq?TP1ᩛnmazZt KنMXA]hgŪ%헀thz=-\*j&6nH|I4 0a::#,š!{-aT7 _l2b`ˋ 3ʉ|悉tycT]rxgCQqL zu(1ã{w%(OX\j6Bw9 Gyxnɝ?]/}tD{P'xL.噢ȚAß<m*}U vLT'[r Ӛt P"6dv`.^ʧ,p |Y0.=z ו~ m? >T^ތ5lGP%3ĕr 5mik&$ !N?_) w|䙲~ngqU(F9 Nj#H|8~Q|Y}=%`M6 !c(+1G{wW~xd(@lF@]LqPQ؜` U"O>h-Oh#=%Es֬du@g:ap]?07Ib@6<`6g뺖1 $<>hUC`v4(}yf#iQ#$8k8g\N1?c3o_R~o']H36%{Ds"}ZVӏc_=+a{Cb<,wt<Օ:Uտ]}Q[ )D/62t[9LCLV v6{z9~!hq,>:= ۱< VR_Qo0%JI/letIf2F!P/`bR"ymFWjG9amT8B^L^/rEhmkXZ6X4` Weq4~)D+9 m\3_Iԉ( VO6F49=-$tsogc \lAiI!͓ٔQ is1^=7VӇh{cC_xm܏9K LfsHb?b07&y+pQX;.Mgte}@o\,w(S xK$iJ~~DYő͉*eA(J OE x+SFW̌'#goG@qpV\rA(<=2z>Dk2sԱ`J^t$4' % [ fk99B jb1p=!ÍۧNPEsAB왍f{9Z9&f޻v;7ڐ_{a2ɳ'= ԭSvA= b壅.Gm8PnܐfSjE7Q&Z > qht4d|`x)/VwY+ &H%{3#iKߴ1mO; _ydxWm%l8c0|&ܲ+/{ó) >ձ|V?^94 (7U> Y$Ngu֎36._/Tľ޽WY헕=V?O}$gtC=L!yќƏ?#R^O@ɤR6$t,xRY/US<)z6D[:z ~] <"{P9ZD[Bߌ`ڋ|'p%fk+ ?y^_u/.տ^8]ߍ}m<pۛo )!>{?V7gcML  VȽf; iC',҄[Jb.Ydz G=e5Y56!+AeogChZou9i8_|ef;1NܓvD6wE8u&[aִ8d+TN(pZ!Tz!ݖM["օqru3;o'i O&kGvN Ƙ>Γ:M` p&U/s:fB} H<#}R'„%gPn1ZI?VC9 re_}1Xzy6@zC 6BZHŽl{K(79;/#p5mpVNGZnGߪ¹ YN[˥H2n`?aTZ};1;1ORJ:m3p[8'E}hI}!4:'S߄5?%NC/W[1B '%܆^ V`%O9$|L@< рgY(Q|(O(aj/+bt[=lIkwԜڰ L-ox(`1e}?^?yy5f /fFå萁ȽW)Z0;쮮K@X G|>@IDAT&BM IP[ZAS ]'滛?<)0 /wt*<@/H gnh@}59X_aWk—݇Ny1.5GfHf y7O S: H H\/Ɏ8^OC ܎a 0F>dC,L#`@cv (&p&6!(fyXqZ__J Zd/]MpP,M-[W,m t_C,i`AwWp4}l)hK+Y.ytFTr>bbiךlYhe \5ޑL|f8ʨΔ1ǝB:Ɋ;C@!@*X`GRL'l."p\w\cž  ؒ[QTp3QG)txm9qOu5m.WFh}q]SZJ] JޚxiE%9^rC(IOfnڪR@1 k''RU,m1~ WkpV 1ŧ(@ )yq3d2RwS>yVx۟Ar I>:u,0Ԋ#ss1^Ō4!7{w&D(W Wx0$_485J|BjHx ObdC}DXFZ|)6V]'S-eY0 Gq-Q _7 ѓճj]{B뎢vr Z1Bf% ̒kZ z7! i`6N=,ew~ƴ!Fk+ +w߅gVMI8U ʭB+|Y_%(od5],)EJL"{:FڣzW7Ƣ_ `xW`ӈɆJqN*9}).,͑ Z6uBh I^t7.Pr '*SDdS:}luچ9Eb QNTݤ^,/3qn1hT}ǚ9%0FAЄ:ꢱBf>r=,9#}:NDGG`=dIj}6J<m"‰co٭Ÿ35nʐ0g5@?,ܣȩpX{zS myQL^X}C߹|.^h]ak[iGޣ2CuڋEzONF4НN3<ʐ0@MR i{]X(q sٳmw\ O^v|XU^emW^x:z\Ϙ r3G̴U]qfIxO~D Y|~uxH޺nZzɃU3|kRd~bu!ǃ̤#nG~A+Yɣ,MyJImysH?v4'7$xVcQ##[<]JhuoS+@_},㒢P& <>wF"\GwmXx~@y;Q)]Oçt%@X^ AFYX* m+^Kq 60_ƈ1mqܥɏI4 7ɳʎ l$[k$4 Q|z,X J6B[qMc_Q/IxnCjU@Än_͋kģE8Z̏Mbp/n9ONh= }OxZXٍ x^b+ad&Rۼv6ۉ9DokvՁșGUrĜ ӞPӳj٬)4R)  v}36<.~Mw"s@`[gjt(^c[S2E8iB %Ǡ mo^H4tM</jc!Ҿg$JW7J?nm__|꿩"_m^knҮBE<;}yIfے/ >م4=b h䍧q{ܸ̕I:8qqqW1Pz9Hj?A$B+V*&WkH La<7$,\O>J1ȊJ&zb߭S\!!sqs9$c1[|i~h `zi^عXlG66Y |n)얖ұx=.$ M&En] Eljt2K7! .kU ac/z9ZxJ gfs2XruI rdmx^ \"fjC~0wdXXO ̋ea> y{0^LU ?%mBTPUpЇDc,@^HX$PO<-IoFab^3a 'n5IsprO./%KC$N> JfkMpQMwHR9Yg#Rz,$Is Æ6P-|grϱDswoF'ڔ* `wP;g]Z#Y3) u%H=3Zs#x)P/2((BQ­6l^wgX쿲l^ T*QEpo<$hwCAQEXe[;{ٱN(-IGbbhU1(5a/xlΞهafU6//A~\{JfrnBmטH@L/~hZC+ B'hGGHoC njZS)(KU Q-* .pEȁ O, vo#>8.]\<CY v-ƨ4LE86`O1" ]3?ipi?L<Ӣ3q7*Y,޳Osx8iwRft=;N^Zsn/ބo1{RΣ<=l" p)?JEDe+6W )[:$,#m9~[B,fðwyPL~Of{'l X&0rȗ <*tk}'!g4m^ɍqp;{:ʢwZMu˜QM 2kkp~ɺU}>l]eoc۠Oz/t|,O-{}uG3:{fnHL i/$ p\}S<'D D6׳ Le^ ~`{aWr1ۄq߱$ܷ_-klOXH`Yz8e_FA:~>i0rM8ݍ \%ծ¸OxkY%N[l1N)jڪfӱtBSH{ )T({X 6\kB}%Q'3{i_~^6fފ5='՚rjƫW׵-Ge\)#K GC,Ɣȅc1~\|s ji6!АlؙbVLgCH7x{1ÝΫEZIhcmpL~sj.dcu[6(9Y wGH_ꄓ\.~.9$ο{M.^/: :n*WHBx7'.Pķcfj7`{0k0u('}v%ݒ<ݰn<$aL&z\2 r 66Kipퟲ9_!p)<,/(=u\_!0x 3R{nL1To<[ )iys[ %7`9um e9/ut=fݚekp]K$ܺ%s6f8PțA]o0"+v=_8[h?HGgռ>*qO~%'>|$<;uy Edbᏹ "Yޔ3yi(x;L-Pp4gcȏnY0T-iLA慫ͫJz-q^AgDv6wW_Ky)o_ˡπ'l/;{תZz"Tn5ơIZw>R6VVj-*Fs17%\H^\m. }wpP "&s8!wZcguZ+,mH[Ss9U rM61sxNxQW)Ko gS>mG¹4ά~y%РFr!e,%6˕H_<eh\m<}-yC)[Łp?i 9z\d>0U',iRTt;Q&3' P a%ϨEM~H!KŒ X>I릮?m%,!0ő &ֽm-xLӎ>\e$X-}K; ]p%P**fXFU6 p yfĮUZ#ŸR[\ Q!RR(˞R!FKPU% |B`Z6[w))=++f0sa<$<VY%zu<>ϣuY HbR%s)AmIRJJ&5܇;NYL`7L8`=>|5A38AtYrcwiNjЗ,'s~נI߹ЍFj yV< kVׂ_Ϣ7_6$GFcĮ vE0`;OϺ% '&{.YZ2B\G:i]L1t$eqxtֻ("=2On6 8X/ψ ~ ی`Y Fp7a)^sYVDk\>ܜ)KAYJ@d:ךe^~ sRX7%Y֓`e_jH'ZZm^Iyc΃m887 rBr9̋sX3~/}ٱ5р0 0^f GSCW?/'Ys0SNz"}lEJz>%!J1x:䇤v%TFR܆ַ @ f&\ϭ4**ͥjY4rmhdyl=4YB1=ҴB}F] L-BeHG#qvl(A֭6 m]X)F%{V)/3sEX$@*='V ?K$xuqU!s <[<=d+I[H8̈́a$=Yc(6zk% ?C/'̲ { ]NYw]ӶQ0y30 h˽>0ƛ$mܽj[G%3J/.X\XKɉ4x4KWW>6Jh[KLRJI +ل hSǫ: 7$biboUj{@hͩsVch넼$2ˋs_5s*GBY Os , CXH {{k)Y8 0Q p2XQOc}2tSsacA%\e o _`,Gv{Q}: ~#};h"qaTCGє/B`Я|tjbHcSz!O'~BZ=Quj#WJq,ux<( YY$~P竵 3hl0Dm 9 X<V(+C{/٣../?稌G&t죬}W5҄%Iග*!T\[ƌ ^hᕱoݺ5`/(@b^=ųlKֹz)ǃP@F 5?<[.do 8Lo;  Rt᜹f]J< Gon~  «㼇/pfA‰ NI @۬R普f!Rq]egq#+<O<6X/[vŕc1e_9YF/Z[octֈ !Lfr;0Egy,dO2(5AQ@Vq4epnl |)gb (eNwyS !2 eS< Sv^Wvl6q9 kTiAN0- :5.΃pfǏ~=-\&"ͺ$ObSjֽZq;jΓ |= cK6Bk==&MI;TvF tij@0b\&XP,oINY_b445>WfdHߺk]gUwumsBN -Ew<$Do߫K¾_-VIam,l'0 = M8 \aP ,1sv#|}3՜^"2qೖa NcG~Y#@)еs 2 -%D/:eqߩ6m/Q)hfRmВ*8kp)ܲz*!8&}^R[֛+LXB>𑘷>x(t8n0 PX(3F/yꢸ7VF?~6c[r5/BÉ3[7F}Np=Îzg4훑'nڻ 40BBݣvhC~G3e[G ]Q// 3n? ^^%UXEVÄX6+Dᓔ''45 &F A@úijʙ/.I!iKbkFg F)0iY7}4y3'[50*D'|> BLڙߺXQ=u˟.4/ʂ[}ۭM OM)`{/(آ|@'){;Yt{BwzHY{1 mge2ދ^(و(0xj>&ƓT䌀\A{\@[gҤE4y5Sç e0DjoiF1BB\YC.7fA}Ьk^&;tEcK!lvnBy%[yۗ14䐤4sv"hCctN5&>\=Sw[~%;(Os=_|ھQ<&5&wH"+!F NBv x] 3tTh-bުR0"n5p\A!x aJyULSLT=CY煊5@l9X fr*lm]&_֍˟t΂ ex7wqa WV^BEIUZޯ_82VCҰ SwnDgUYhH+RXܦoUЯiW<mѓ5KGǖ7 %^?{^!}nx(p rFG;N[Y^U'Bٮ9\n쁽/*uJH_,[~ѮK1o]pǪ K:vsDŽZbx}t 3("g5`ܡo8<#yauGHB WgW|@>ix>C (=q3WK PZp0[/;kq^Vh_qxe_1@>) MwO7`},% F nqxO{XG4p. 2^6'oHl8 ˏT뫫Uli?+x(}RS6uքz2!$1)MaK)ƥA  ֭<\r&؛wNPRs+B|VŎ~[>h6pFRՕ泓מּOWx6o}0|埬v&z5JO"n),SشMM 1Vu)@S!j> ?X&USvS'O1_JŶ-[(w01[1Ml2V*~Ko!TBr LW~]#zY֎=殉~\7Y6<ܵS6}Qb0;Ža=rs2Fx=$`Q o Ar+DfьcăSCqSxIauʗ4Fg \"gP!djᔄƀT 4j~̭%e*>G;@B<0:|❁㒯YHcB$U/뜸{^/@N3xxzk||]~O ]NcŬg&Oq` tel<k!yPr =} `-Ocx;K? Y$%dؕQު97܄nfB_;7<<ܵ`xw} GO.HJ%ǶG/4zsh0û\՜,ey^zA=ۢ[Xy]C<*iӘ>ʮwL{ɵT4'PF_Z.y KT@;{+-w5@y]l)y?z[h?Q3?p`-yn^>'2?+-: !5'UM<2Jl4~Ae7e O 4Kx5ݪs, ̌>_Oio\< 4KIڎ-ݘz~w+;hQC:H  UpX[՗y,  C&ۃoK&خC]w@A7.9=aD^BXgr !n$i99Zܹ9[J8,#X IJ %˚)VݘBlzڜp UH:{9~o RFCP1GIЖW?{ %8ԕs_>*y|^:{vy*`^JԪ. *[0u: eg*H*z^EnZu|7;;GK wRJQL,KE6kX9&IH  NέIѹG%&uJII+6L:Λ7B# 1ZT V1OUlџy`hX% 6'g P^%JmKO8eO0iWݳσҜpy lj 42O-Iu {ޟHuK/xW;&|o'Hb߅=^|܂- 2WR^ Ky41OA\}IK,gjBXhBa'M^Km6%`}OSp(uHx)n8d}oo^D'x JBS}` 8F>69U5d׬^7X!rڞW Ni?1po#L)$;Y Ю9:XJI̲=lo5&P ܃zsdxMѺw1\QH30+XI^i辒Wq=ޒѺ]щ7۔3]N$io(KJ|;y'7[Fی)[(!֏Yԛ$V \7ՋJg&8}/n&ri(U񉣕fxQle- PAi] W0J 0q&N~=7rsN̺ӂX)"^qڑfʂ! .g"5w}saYM j,< \!MR ra/b40 y&|thbsx DJRuJ7HZ=FYy='F4XBm!%vJPS&ֈ_;=/qٴK_ %~Y]dz+wPt*|eoL 4yːGl>_ gN ,3fw'F}GL&#fzG1Vi8_=@FrEĒά#g!!lsW yv~$&vU,,ּ^Ȓ^<eFh:n3-M{j ċ$9,KASB0gyQylƺ qt=4r" %Ow7,=萔U7? O%ۿTp3m,?Sg7{ y;H  @wty Ga_whjmڇ:3j~nvL cQge@3~SL7gb;8tJŭgzRGǞ^>P||Lkonj~"l\ aaORfOND\Gc}-?pPhssY+J(16i@IDATGB]ky IY;U?1e&\xM3:갚\m\pP̊zβrx<gΰ%:VWy4܊~+MlulX_[g?|rxRu QF64&7hwsջ5KQUP\^r$U]{^Wfk#W{T.S x~p9/aÁ'O?^}Dž~dԄc` +䕺'<|Wogf L-+}C6U\_T}BB>F@)M:-{R+Y3ٮ+Fq{4qBi YYVnw9`JfbJ)a:\8Y΄@g en6jmt=wr罷);66O晋%][b)aJA%llp%׹NT{8K#W^ɂy&{9U_=>O= |#C=ױk.468Oh2#҈'͕9۸3KD%ϬCC4Cyu\'P Jh$rO~ؚT{=f1%s$STcJ99ERoj|o[ѳ#pwW(RK T|[,Lel}F:J;{ĬYR_ 7;;۝:@2Be.Z3>V(SOp>I› =S 0'ک76r5tn-xГ~6 #8kɌ'Sm>Bx9z^Q\$: Gvmv64v/Mk&<1::|x/gQq\3±5zc%v$O·': );x~0` Sxd?AƣmӵS抯7 Sp,WIebJ{xor.3>Ja{w]w?Kqڼ<ģB/Nsj_04o D }0|Ϋ<1$==c$ՅZKc=J塔%O9b ,Rc?F@' zgq'޳;~tc`P #%i_ݱx&;?ScfKoBP|Ĝq!6FBK;cb9mFiS?~2n^ |Z,j񦍄tJ:`A~aPy"^@/ڤov=N,N̄[k}A9!m@X{Θ* g\ =:3%q۱ܷ~Q/ qPPTi?LT.cYWrI<<3KbJ)hS(KE"|ẽ ĉ} !;`LI?<w1ı}~`~hAaณx¦)KPWBw^sɲ{=k>zCk$}Ów-qg8LOӞw>:~[Gr?-|pJ`~<`(a ?Xpq/g81y#"fK}ybѿ5Axpa*>PXOuތ06X0VN bLJ,*YgPt1G( @ۯaC\ypV99Il(\K'1=FS^$/)d]>t\՜[_zw]X {OH-?|*8Xa$g}jc OÓpc d<1L()}[BI ok#5ѩ7J؍'ҩ/WZQ?v2oxXJ7g0ŭx0c0@kEӫyrJ[+Nm^YD\*-cuA}d^`^ïεog?iow{Ͽ-X*(MhVX&+{ǚz~\7BmcN㞕-CY]βtj$@zL&>E'撐΅Q5#RrLއvk/ QOkGy_lZGh̲9k3{N@Au#|g͙T >q aT ^։ )!:yUֲ9 `P!GXA()\7maU-<_i^w"g0]KtB 79`;ej^B/lNgk/D5nL+$P&(%|T,.XxEh4Mke0V S5;'%BW% ^e$u~DN0,ܧBp`6pջ[2~~\a2OrѳeY:?j'G0}ljAG&-y!)~1K8T,I_L1QV4\?(cgkS-t="?3m}lk lYK`2r(_=o-x OJ W.Z/hmxJM^h(/O|4-ʤڳ͕>J csl W%gEܰ Oi=<¯[xІ@Z|4Wcعz/SיHlㆯvxS?g{c#"|iMu ֓kMQʘpZ'm~ ݚ`oK7/xk/";bsB0ݙnmBL(3oxm|g; &#QAKukë 69!BE@'1?9PڐSB%E<^?w'M޽{5#:Yѿ.[>]n9}oRS5dOJ{?tJJj)փu0 [H:Vvl6d[^d]6[ӟ}YYnfz#9.h.6Y9R8WV?OWoWwzpF݃JދXWr{q̍T2XٗȞ%/s^"7a,yyr3Gp=Q}2{8^;xD`pg;wݮS' Vv9~Wexk%`lGEP:eB09!F';G ,˜ @ {xoѭou¹7s!3gcmg!??jmR~=bn|7X.LsǞ\s%[~pphhp>%0Yi':w,OZu!Bz\rB+} <+MhEH-m<up$ D ^R.<{N'ưh)ifNFE K^Ԭ=XC^{sANB/{pto5qŋy>]o`'{G~W?tꫯ.MJ,U2crFo{1a“[e~ag` GW%nǯ_uɿvԵ 0gS0l>˾Hl远Q;{ɷ)?|;~߭'8(sW6Gi<к=}!P:6k8Dp!R܎[qVI~K;Dհ6;1{wnmk>cyPSy\q')* qZ< 9u mآqePb=uEFCT az$b/@]?IGk)hB$9"3pҰ5-6s#R=lb;!`/(GVcR$oI\,:&GZ7;JhQMgsPlAqM;aŴQƲ7e X 6b+Yӯ>m!9X 81O^aLko us)8ȉ [o_\ȷl\C1}h! 4b&L%U2de0CЖ?i y!{>$|Ax!4i0}!CQzОstP_[ W^aBE{ GHS G |ip{!/p|Z/IMxWKN@pKO \ dy`E56w#GzAFRhH3l*ͭq/x9cDg!3Ϯey u$l9g4~E?rX9^cB'uo߹n<67.wvA,f]Μzy-xJSK4ܲ_ uvox+^à}O^=޽XhJy09#~(îŋCٵqLJ$K|JZ6+x%ؕI%~tÌ^'Y G t,^.c/׸@SObH)<]dv D},V/ʪadDF!frq^t=xV7ډi=12v.+[0w P>C}Ih*kmjRƂ݁C[mZ%%Z(Di]%BLfhcMy!*. !qw4bB &Lab"Č(  `[Fz 3h2{BJ%^ z&LZ׫=]o 3 6bWɠ'>t%Zʥ3'y9:%PGsGxC(7d0RpiPEmFNbpq]OޙI<=Jr|: Q@J1~莲-i4Ֆ]͂b:aB( wnf 'YŒ:Y_иO>}?fXα$Mo<_O+e=7=$f.O d`OU1AIU.r,j]RnyF3<|CX[o}pf*`k) ޾l-pf,h>nln oѥ XNk3ؚ'A/vkh}q C,7>ucѶ {Eo7hOhrxԍn3z݉'$۳,yn7~m! Q\j[Δvk+f0U`#9Յ nx$9uK n!](r[򍜿q=ȋK=l{ ,{ E@LpKU^;r3G eAmx?hd΋ }-Pi\?G avyWٗV;W>ty%#bkMߦ<bO3~puNkdScQ/_P(<xHyΚ|]}bQo{}vo~>\ſ3 3 5Z'gv0}IZɽ)"'Ԓ5l 1;&` {OB`BfcC% Jҟ긚;fIe5N/ dOk2s6a4ғHSRZc{0 $d*%Z\GL]cp#&ŸztFbĺ7JQCBR^*髰Eh叙@VZ/4\?M,Q0!9yi9?1 B!~*S:d-i1)9 KUFCQ 2QhS׸;9z]Cّ5P~P߃75 M`Xᑅ4/se6|9D!<]V 9zncP8˒rp9^M9uLU yBpqxJ}/ A)`+4ݮO1 w)+mP%2Fj=gCA|y˂BL(eGޡJJ냧 =+9桠Ϛm.{e"ox:O[E? [sԞflY6kVQ>|Dz^m-k`ko󾎥FI9H˛"x`>H..7Q᫒씽z0@X´=3)'7I/ {;Mf/{cΚ,˲p!9.ꢨ6h`&d&$<} 3dzA((5M)*Ȍ}vNFz{g5O{ kE"ڕXv'}GAA1F4q8 y4%1I0t{=/9n©}F&bXk$oFVi\B=5EQ4 g!/2Z;op9}⽉<Gӛi8S<aod׶!EIcX/^ XkFo]Ëzbe0wNQw fhovsUm^쵔c h S5cF0EuD??H\z8["FR1njރyaG/{C(h3rlT pHGwSc>0gl_bjF/ؚE9d ^E" E@;>9/of|}˛oY~'@ǃ7??Ak32"V*@IEh.ŌPEݓSH!tiJ=@Hwfd$ I K!) N$7"O?,ePꠉo'ABwT GuoVi!5*"߂}/q }/jk Aw@sfS"0tׯ)ǘ0NadȖ?$|k߱ͳv#@>t9s~0Ykٻ|їKw^Dn!WBq]ZC0 6* W8J Bic-\e]O)/ D40)"E@ )"Acn !4dF+#odi'|[ 3C. o(n'(W&c0 WфÑ(!U||균ѣwyT7D n=cRIY?y VOm{(^\eO^`rhHFGe݋9ze0o=MDZbKT < 9M,z0'e`P cf;Mnq1XN 0= R6G{TPưn u2bRc|tFOƛp5N޷ <K&4Z3UEu(/X͹w2{qțX&0ot 0q~%l)nj myBN#nkEp3RI0cSaxgJy Q8}C%'DԨH\C~C ̞%W'U2Z dX!x[93}%ljɛy5~oh6f|`̰(is8u}F7 s ^ơ5c;4:2pN/вt<2Mc>1ݙiZ^W6c>ƙJ^r}/g5Z >vw AO;<~¿^Rd#ozUz3 N`Rtjk5$jDRJJMH^㽭 -AsM:#n*]Yɾo~c' 5vuF 0><ш(J 22'+84hŸ{,εw;|z2]/WOT9+ lgzAUzE* |\ςI[-'?zk(|hj4ryI!x&מqޅxHp_~BR@da,2M(GY"g}/| !g2K?`^$QU`AC[DFs:WaIq@"';Q鸟`4]ڸnf 2ݩz&0;?DM {#XEhe @!GSڽ^ x08+uWXű眤= ~< "/gqc+4׽,-4^e+!p=K8d23J>Ɇ[!3a ;byuR~ϜHnj|!K<]Ԍ䙌hZ+J%&zP$hR)4Wr1`\Q a#aY:>i-)c g NFI O#saؓJ!ي8n7+Ob1 fqy~;cy\wwV6JBoģ&-&IBZyON[3>kY4.+=0AI4Χ8+Z ~'&Il8ϣу5 7׈xaRx9C^EmOy-yЍ?`.јþc30 48;q(O!|xkx18u |cHzߚ{/Nh$م/{@p-s#X>FڥnK{6tk >G(SmuIx{BY"ew}ѱNޯc1ѾLÕRJFB3_ q=Z`!4Q#gHIeMhvD}ERuVfI'ӗyVwݘmr=} (078㒹@󺥒mG&uSsfhT?yzW8uoisO>Y??Gp+{(]#k" %k9@ 暣T9o^]?|A*;9`8NJ'AOSw3놔nFJ޻||ytrw;mcH ꛑ0t*arHQlM@\ ABIH82*c Rd%L?[P,?";-Qc& / <ʒґS"..nb9' /Q7_R!TO*V(Lk"#D XUs!1y7_9z(klz׋ JCI c03k@ⷧxsy9 j㎨==OA\*cTkW_~)"-qu tSz-D{=kbOl  bΪ-m qRD b6eXoU~!aO"ȒCz[ZBb1v~1Gm ̀ঌz ?srְ4ƹƋha̮yB"3<3^s369զ}I^Of0[ᕄǙCpPt2.x;/CEF$a1EyzQ\/\k?-N [u {L8j:"sVv*w)u6/G&Z(4RgRFM]0kr4_tI+Dk-##ҍ"<FN6$.R ƥx^p@\uKHdXb_)@{)cXʧ5n_3H[# fx;H kA׹E&Bi!UaN)W07E<$dyԌ;|k&V٢Vebuo>c54af<ǀF+#goB3\.1.<#~"qBZQ?d( [iuVq#򪎉g ͊D'l𿶟sB'OE"L?h<-64v9̶`I aG2\^Lk@MPE߭8os^ˤq#Rlk̞Z8;vax˽wV>7=բ= ;}I6=o"+0h(n_ַ$Xlvźku1lv V:*-OD<+ؿ^q\bZU>2iZaE202s^-fnMSS8`XMhioϡ! #Rq< `:>j}lxb%W=j͍[6zbxƐ}=Ox=n:L9mȄhCϠ]D]a[WPpL P`usqb#t1]79QgMjy H71T3 sA<*瞥<9D䉼 v'<˻)E?]-4[V0K@G<%Q7E{B!qrEjY~N/*8y4#z8W y1pE%EGxl5 U>z0V7&,Q<. 2({ #]ʐdp j({GA9t`w Hq5WQXDɫI99>Sg|_u-qAbؚ\'5HG[XQ9do_b;>-Au\yóp%cȌ\ЫډO40Fҙv9VxQEg]Dn0G-o;u |9O(|[KӟiN8j2& TPJm _j%[h "Fkܣ xt}@6[{*̡1EEtM!j;ȊftNs1pf*ifyA2e;B?e^mϿ*bUyvd4YӁs ]Gth!d&=:T&'iޡξxϳx~C#b ƥTN#)X `'d)jQ c׾S6xr嫝,\>%bj,0 ⇮B] Ƅ>s1N)ioE\ ӄu0fnABOG_)"t3Gܦ~G)Fo xQL&zY懱zuL|N@IDAT5.tK$GϬfp6FjhLJ=Ω uJvWe7ht\YHu t |$2 QaSn>kR]ouQqOrBHv1*QBߌjb;)$zA0P3j#] ՞* " póQ4Y,'|ֳ-ՠ3i#wYV #4Du#K爈IM~k"t='_ӚN~?*a `3t wYD=8ᤇ[tgnϏ0ґ5ZCc<јWz>\^{֞1w[ism|^|E!{g^}b-7_{% ͷ%d)JDЦ @ɵeQ40 *9EA^_0]߳.NLujuN5~&쑐tb>J%f(cmD%&3AɶZO i&P@֙3$ZWBwAMLJK+RRZSw+Ho~-V[CnQcȫ͖Gi)So>MzC<ۚ ;ףgg26qc7ykKՎ8Cp x屛PBUj@('EuKܱv!(ӍC= uފ6MUM7(0u 7m‹Qh~gH%<܍Ww`$ 9c{Īڼ*w:j-r4?DQ1 h}J7;.=k=,E6a)I<}Q`@[FH{uȜ(K=U:"lYhu&ܡB:A1:H0U+{[j BR}մ\cVy3xdx-a4OܽJœ`TQ"P󋊐 SRC荾OF±y2KG=ǤDE4̠O2~ї ]x~(iMx .d(Jgq`^No%zSDJo~[u{ܱp^H[ʯ92&̫U(6N^tEzW+t=J 遃v%6p6WƭN7>l^?< _fdɓG_%??\֍R5^O .=X8HhUqfB7{AVIIOsbr(>  rĘ"~={%d|Zk  _w.mө:_CvŒZviσQOMEK{ۅ۞>im/ൗD&LU8uuyr_>sl ow%zϲkb)T%\n^XFFR8[ԄŤ6nlO;\zp$(~sJثkPsIT}dz(C$z; jmԯ8cD8S'Opml͘Y%Nf{r A&A-bdCxʓ30gXHx M@O`BcaRp=>޵ |G8 Ԃn`Ƹ _ CCx9|m[}fGDHo To6p7m3cJz ŜIu5;!c8*]Uo&>ʀbhҸ=]F;4nC=!7> L /|sx(xt}D lJ"E{5yuvlANj$E:8|ܘa(,KIY] 4yd 4 ۓLNth5ʟ5YAk*~ 2vҪZ̦Ui1 *a)y zn@'m#E6d~I3Ҁ8]uv94/F?q h|CGpo׷!XD' F|hI EnǰjƏ׍k8VqI`0lgO^7./Tѣ}ᷗ_rhƝ75?3D*B,\lQwӏU{)!<g];MC+B@8@g8qH:l[Un(mn|Fы>a_U zތx:1|D"V-d0x OaIS42AfU@uBg UDI(MHQ"rfJL7A g~q+f\PQijQ*pŃ'5VRѯ'n9{O<n{)*3hrr{\RfPV-U[as/>P6C-ƜW#wGFh-`rK!ZJ"OV(Lﲿ1ԇdcH[ڠK 3xP ]O8ϫ`a#8a2t5L Zd9P8h3녖<1ł}q>Ys_^*iVJA΢,/ah* E+`VsRNݺru[ S=]#۶>WbNqaB;'bm 'B]P`$7i1uhGƀC.DǙ$,C⸰T»o=X7^H/f,O3t沥usL:30 h+|yem84/(=  <͑ʝ"B$_˔4 AQ}7BȻPT." 5w^VֻmՃ3p{P߷^qRE>ښSHIeXFˇmۼy]ʼn^9 y#ͫVܩ,jBo,S4]jsBP4N:ZF X|j99D}R&`0?F]54fpw= yNʥϐu5x(C3Wo'6O9)r>W.R mBaaz5vs~흎= `kYNlm¯Sxu/F^fwh#m벆<\I/4 c`}kmQE~_2'S[ɫ㏣"~#Ob_s#zV^\Xs`To(B8;2’tEs7+sZ.eӍE.v EV8ȟHٿni6JS">oEKW\{_˺O qh734sJ.stZ9?7ǟwۜ[ë9PϜ \#C@t"ko &ޠնƜd6h4!xg_^/2Һ\ӞE>4_zc?rk_Ak pKf = бEuL<`+SS aDHϞ>r:Z#P2õMBF4+볷}p}Ѣ,AZsdnQ,~Bm* yNS*  N Gn<%lcx1/wD1EE}Fo/@"xN\6rJa]ts1+UУ WD$g4wbUٿr}1v;?uYpmjU? ua~u ,Z%[|JNKޮ{VjH!Y8L F4{Y}O.'Yk3l=@4T/֐w7b >c.O2HmjOJq5ܧC#EQ%)ִ&%Y߶(^@ӯEaNڭPFou^nnZVZYbmy"L~q*>,Si>G1tC >>iQ I^) )NM- &i|'PTty*^y4?_3t#*ASj-ѝ?3lۄWsZoxAEqD/z5, VSTGbh9$gl#Sުj(E)ߍVguӁv7?i["9 a `=(]6Fc8pLP֊ C]g2?ƢGD/=12<1^1kwϑf"H}MxD2<ICa*CWC@|gx wNFpةe(%؜c}<8keZ1# ^'a\PVDz( KxpP{V<3 Y{߈>%f8lS*l{̥E&yLĒ _ŕX¿zrQ Q`ȫe:x=SzYky V0g-2d (}^SK]Kk+˝>+|.8D XkM'1Gݬ"wy7Xe5%1 oͥD޽j>R%t}=Fe“ (@( 4 YQ_Q rENDNx)dL?XF.pn}Oqp׮ z Eie4bI [ݬG |eg!S =Qm  7QQ B#JejO$yrjy׭9 kVp[i5GI%gdfI5F3!9i|"p!6'dБzdtI( ֳи;k'*1N(fl|\ۂK_8qzלz_"("m~9h0Pî }9aavGN)׌LᰈcdN!^ϚFcTRXpD`p`߈!ZHO5MlIIC7x1ZP.zjlaهnځk_&#;,iHQ7 ~tt yLm 9MD 9 jD26APe##rժ!#~{?=ȈHr>]Ko]4Ġq%EYOmS!$վu:˃>ÿ{goܬ$8 ;B(:}(6,I$bF=4@X]6LB@cO#~7!V3b) -28jªW.e-/帟=j;lmfku#9XZ²՗ZX@S @t-.m}%d_h \? HCNj&(,Bk_.G۳-$ ~I擗<ۜNCTksC&>WG T3@h:6oPp=v2vzf} imef= R=̻kC_, :pBh͛:7[gp+͊"({g<8o)rw )׃۶mǓ06e \F21ש﹤5Ab:)`^$\bɻ?c\Ix_CO~~FD˶ S2IJ-({㫷0W_OgI1Sϐ^塒<0!0W;?t)CBl Wk]-i3Zmg >+E%3v')myǠ!fLf\D@rY%Wxh0'|;]v=L}y7_~F(hhc3nb^Gz05h#(~b"R42|24\?oS2߶R 7?= Rf4<~ƛuI;vǨfkdGၑmaeqZ^ߗw.|_A=t̻K(|wzYd9NO3{q3>ɠЮZ#uB+ܮ#зwpi{swsOV-fgy_try =2 +m+os +#pclKj߄ai.*!SXǿ Z y|),FRe1.2^$Fem ryb‚~>%t#S3d& 9 Y}jz$ ;U&T#9 11Ÿbኮ8NxgBLH}O ~cm+pvد.EqP]iێ<@*OxZ|M/ ^&Cl"-}3t uXKEBs3]x2Q@ɂ)k!ePWn5k n~V#I$e]Bp0&ݏ X'Y4*JQLƧŔUhLf}xUgb5@;o,7lC(XjkB'g%!<^vPQ)*=<'5'n׿='ySsح/a2?nu >9^#. >gvnųkj`Asy¹+~ßԇ\J\T &ZJA tQ)vO]a;&g#_D`(?xɉpsbV7+^JPQ~Xl _wħ". oϽ_\yҷ_!Mc@{2Dတm[Jx#7!JG!> :T;ST7 Sh[豼%=+!)+st0XF@?O8-N E(.[;a ,?Jf[J><]Rڋ)r¡i<'>C(K(gQYؽTCz=U6GGdӠ"!uaa4Q7: N)eJP3znBq] hF=(22 PL*|֜5 9Bt36y4Xf h`^%stY;M!<@PUb7H! Ϛl&2[kИh51кOX\GdRj @{-=xJt*z^FzT|smc0x3". (Eny? [ [_љ\%06] P_a "!"c<&{T8/ѝgY%sD,h޶<`f OjpMAu uM±pj~fiw %|`3|3@~v/|זEt#^E;jwR"\`0s&m'DW0٪X, CkzG%JY:Td+pRMd h{WoR>p{aZHVV&U4O0X]>N|Yx9&9ՔsQL:gY9!p-8e8oecyd@-CT ['0mOK*ث5"j}/FuRѬ0c<̠8 ُ5[Y^ Zu=DAr~A;D4 ('B }PPAT@Bޮn|f!QTfљ`)a>dx誩LAQIPn1yʍhKr#E[_^-Q!2ϻ}W)<9Pp;ݛ>?ex-a},Zx h%:Ђ3,m<yRLs`^Lf'(z8TNod.G >p^I`QTy뷻1PԈ%SyƟuCy΋{EiZ׮X^ގjS a;W0wpZ9Tヌ / FV-z>y z^x~n[s奢xC0Cv[ l\K}2fZ8uo,:1QiC`CЯѬmFxT&ЊWh޶M4 ~,LjjlmV+ !|=?;hp XE7Ec+oۖ/I5G]#Vp@i&(2Q/<5Þ(Fp %=[u~ޚ==%tMY3]CyC9fu>l;r<%+GEoo.??]T{uM>#_fb=,y+C9O޾Ձtj5'{&5FhMs24YXĂ|uhɝtMc'g{kE3C>+şfk&)'Վ[|v-j*F=}_Tw23s(> F'X 8Z>\/˷:ueyY9 yĨJN9ڋXU.l uG+p;+~V.ub9|RobȁhP@1RL1C#$[]4]?J0?ЁppzE瀗e NX Q9 ޹2VFW$ݳd120M%E ~j{9![S8O;tF|m>rߺ9:*>{V(CBna*빾 -DH.h6ARxP =&vBĔӍsr'lDf_~7EHZIGfB.@9 Q0˫uFc if/_uE 3Aӽj6NCִQu@4UVSXiݷ< fZ3V.Xn:lnx n<2V gҍtz,8d|#&T [gF;/4B fB[Qׄ[1zQ42ۺ^)GSP憌s~;ÊlO![Nj[-n/!1R(ge'LYHW*|.Ǹ!wLJx!#y2ѿ0}rC|/ bs-93k t) Y#J6'qj fVFǼ&ߒYdpXw+:3M?#JU=x}1n^+ZY:^'^^]Γ;Ɠ"cZmdLiyMT(GPGI}I%ǃUX;.έK 4HvvDClS/w;~rd#~$D\cTʈy?5v<?ۯɽϭ,m,_FC n܈祿E~GҌdjf/FBRZө 6xш(UG $ZA>>bDogSRƔ:X3^C'+ęns [ lRBihٵ,1[y"v  ؊021Q հĄT@Y= ?W8!)/B Eusk +a}pyvc-ʻ~u 4lQ zV/l֗ubܷG[8j̑Ob`:Oט ,n,w'G6aD.E6XgD׳mBw uLR=;km3/ow@ zRV,篲Kju3/#U 7'g̃Ep0 wb6 :^D#y\RbFCCrp$IwjX7"f{!p )#mU WZFx)9Ϣ"\>m5R(hM>.m=*߉y;o)ʷN8,-_}/_##u2{CΣ[ nc0^Q[_a} D_߮m|)8w(lQ m3G|c˭S<׭B8W^ D ~ףiV>?e.OIn#!T?i~I)Kgl&G*ZV̳y}ObpǐjQ'5L#-LH3 {xCqaAG]$L ֙|joUu=m5Qkp&xKy<2[[Љ48J1a&x=]"o-D7+9 fSݳ ,vs1neUClü7gƓܹH!gS㐱s|gy{lyiGkL`݄ȝ7o,_~y]5S.cRH 16Nx'$d)hG4H Ta n5+"Z.tWQWY4K({)Z Lw,pyg2םEfWL5a>4'iWEG8ll9!A.)Oؖ&G!)[?]b1yR"? z3pNWQ=ro_-DxM|p xLr;_^DmSo3]ܢe2mv<49HFGL@)+zW?`Asv_A3;FaFW %E極nGEܮ] zYё"UlRs'G͙خy=A.\z5gdb=[7`}"@IDATۻg68p(֓Fdv'kmzVr/=^dgzwliXPŹ2?ty5ONFhӃh2ыcLŏ !5Uk ?e >8f'k>q\=\E]6iCs"w߼5[> w"w|_r9.M'g7~IIنo}k-foE{[ެxJM嬔 !– UHo:}#Dd!DOi؅ݙӕ"O?ˣ۹^AZD!g<[4Zony{yUqaRM~y 7{DUa,nاU=ڒ1E[3bҾp#W鳝A:яN)4@s*`APd*Өyll,?vS) D!ExUoEJZd TO!G `&BKs仾~J ~M ܾy#ųAx>?Ef/J~_YI,;`!<ܣ]t=,&{NbH iZCky6} C#ELE 'ӓ"0h0HxBg۾qk;^xY1uXdD0ۍq5~`uRюyzE?x=XoKhܩ ^ׇmsnSD͉U +vI4PPgJ4lWJUb GWtCA~] ޯtBXnR0}4a% `O@B‡#x \j"pbNB~~v_X&6(Ш s]#9❮Q&^Nē) HkjB It?n2^Ak#G0DVjFҘUMCGOX܇F].E{DdfǧΖnO_ux7lvpW_ߟTv==O^)%?X_ /4 "yqx~ty+M1z\@z5FjvЌޗ3VౚbzvB1~`Jsaؒcyp:UTG@y|ihrTm=pN:19Ѐwj32wݤJk1axBF߄,ǰΥa() [Fk8Y>҄-*(oNrChiࡑFх!LԢFqVpjD!LX=a>״LEQ9{_MV֜-χC"0ː&rW䓩H;WVTKӼS?Fq N߷-j-4psk*bx1#MȾaU󶈓,SfYsZV)ݞ̓["=EO3E_xn`K}j<ō}uF(5""{[47D$f.gtt{s"t8B)s6îKR!zy/[ Oh&Nd²铅^is#L_ͽRAQ7(f54xhL{Vs pEy+hE8gޥ0gNRRj&OcيCF8Aފ\"3@3!wD>dȮѭhhnP#Ity, VCkF[e낟R~Mº3u5|ߩA[7*MOjr yxL1]<{+hv y5.-}Ȳgx/YS,r_q*7C+/qo힧ҫd]#5fMfRsZ(m{8D'F#cM XϸagZc*ޝ2js ebŠmC]vt6Rs݋w(,;OK ݮWaX°۳E`@HB ec|* t >I愈i.g&Bu.nL/Jq'^_E_{NnP~'5R.΄ f$[aTْ}0V.1sǛS+$b8Xg(^e3fl]R5*{+k$!hXZ6eakSVmN4Fa.AFq욘HH'(J /x^NCw+MQ"WQ;j o^ AzR; J> a[X(wA^+":=xgQ2'S/к{'Gbvt}6LC͠}dO%PE[3g2Q /^uKUf[[vTPoo0j;ip.rj*%&1WA":#CNOD(:'/<e:4>3sVm64 Mjß1^r;0Z&ͨ6Ǥ2h84Sbȹ}RYG"olv*߸ͳW-~}XjɲpP7/ t8yivPZA.GU.cr-&O - AlȺ g"zl_y䊅8v3h&0\̼6s)Yܬ&a\,^EUL ROZscδ.@'<{Xypk_rC˅3jCѪSXn/g[7h` ?'BkdZ*>n >-MhmWMe>cJ4]"*!tO2T&C`KzZ0I{lYHED$~x"cϰ5;%w+WL"Ϣ_[g.Y._`}8l 3>81#Aŧ_9|i0c~/wVĹws=/Ю_'Ҭ+~rþ5ۨʼnSw/JAr uKv&qHɼȻٹќ{=W;,ӽ%̡A%{K(s]l/Pb4 !޲Zo$OXF%ex֐KBD"2k'BIoEuug-&NUf80;.<CڟgȾYg.~ k/p>W9˲lj<8͎I/ ÞSyiS(Xn:D9t|!I-1oF7P T[X3!=kAўPx)I'E#\]o {- q+cB 4#!C#|`df٨IɸI rf4Z{}*VjleAY nㆇّXHE_փǨO^f} tߍRL֮ӿ.{ 'Dș{}eU)jڧ8a1FpAۺ ~r!}$L)Zȍ65eiW)&Zzwdڹ1}9# f-(Fq %{=pw:==?'I~)Z{'z opkk\ >I˕vPq eU3 59˟{% slŀ WdZv6EW@1Tr0Q={Ɲy}?uw9F*l;f q,[]sO _#۲!$>Ze\צ+[j[ft͍egceV'2T=_0kgFkS41_%"VۛjB{O =ݳ,%g8B ^(XhG(ToES1%;8#3_V=:bZA8Dʦvߢ5g!@ϑ$4I$ kEFFO[a0PlTNpxFVx!֝*(3K c8s!fSk~ڠ<"ג*68EY 6:C^ctn+ay&E2.Ɖã1[Z|/CUK2P'$` 캍/ĵ5T O'<~gl^/ }֪ inZL~B40j|"d PFn?8fʑ x3!y)5Q=Vmk /" qUnFO>bJTpyzַ\ru^W{ٛggk_ oQd%$~'ꤿ?xI߸qctvNݔZgjNawOd6ާ^RP8Gݽ"4*dd2 9)' \D%/IvKOWa1~y0ˋgP#%#fLdɄEI"^!gWS3ExGvj=2t# R gdLm77@V9\E˜"RN1^̷`0pS%|!~:z<{BUCp*S11#ETr~({. !™PWݎ'G*5sȨ`(d%˶͓ beAΓL;GLn% %׷RsG5`(Q ?:SZ ,"9`gnR}rD}ы93?0dzG@On8v{Nߢ 'N/ ԗ<j9i4NFJ1_:&@dƄ`{v5D<0ri>r(u4SG:mxgvcgLmpU14'C[4Bb4Ɖ~rTC]_ZwWJߎvfW Ē p6OS`ݞX,2i(q tI;Q,ټI ~pyg 2xqRFR˫/їVѧk0]4a{w=2Vnj^ F[mQ9cŽ`⣨0geL߯eu{*yvlxJ#FqOJtDeڣ%2` & gRghҞ y鳌ݭ+yo</qDWNݽJd[ԕRUlҟȹP%w:o ` ?//y*EeǯVk6/-Rfӎj+t34fo?/]ix3@'r%IJ<}7W_zKRґG2w&&3i^SMhBNN` "8$2;mӟ o$0uw7rKÜ8Zdv۾м}BB̔Tb~+"BS$"CPnXAp% %OtFCaJ83عq4ORfq4Ǜ_vX'&(7ljtEc8L!Ve0@iK )tڳ<Khm ;OfxyW^R,hQXg12$:'m;xtؙ;V^#\º]QrBgB𵰿;CQeަKhcCqgxshL?)҃#1X}qJ_۾īh j޺nc 9joop2pp#26Fu Ms]w:-Zjޜ/c w/*\$VzFKS]~Ā |򱃹W^|nWG)dG2j($qL~'I7ϒja@'^bWh4Oz Lu`9$`<;?]S)&d /,/-lH<ȉXg[>ڏ-7^_n^xOߪ}y$.N*R;2+>Yh\|v.x|QۇK&gVGP[;.}_Tߍpa ևt@e$|ҝ \3ǟh [^r}/>JHdْ\GAI{SxW#^8޳F{ׄpyP/Lrzj2}8F8ut$Ag%"RNeE ?! JDU= `x)2plīzJ&',pvd$1Ұ(F4qj;;2LpBp*ðr(K@qfJ3<«z0Bv=c5[<@bxaˈ8q%mk[3cxՈD'!(v&Q$DRa>Pc C ^G0`KuH ؔ̔څp7k ]EBp&2js'~?X#?M=0cw2ЇpJ?)*x"E4ad 2F+ރSTJ6e8RZDk- <g13BЋ|Iꢰ=Z7oeL!!+y=}rm)†S1Ƅ{V(y֤֦ܺ{0q,t'F/ư_C Opz?Qz:dQk8]FIg~mqOPYV\a@]c^䌙p7Mԡ{.dRxk=;M[\lh׽,‰PၮTq+>9,U8x6nϫ/P8q(tP0_{}O6*[ixћ%WZ;*}`NL/4s:r}㜶js[asF{'S 񐏌TyT׶9 }z>|m<=V]?˵ʡ_m_ Kח;o_}gZNwG_4Ƹ"'s,E`ȵep7PH( |Q d&W\͐?w_-o.=Ȗ5yc)N^E<<}ᒰ3P{e[ɶ5';퍗I CWb+Cxʀf;W" GN# PfIPfYѻ).Bjb!E^rY'Bz+PUQ:BĊ ilzSm 08{ Mzk2PG#b Br2eJD!5"Fn|9HL/2e/ioU|mTƀ+M82yso^?d%cyzD5ɒD%MV'VDJg:SFN{խKıMG"xeY:=Ϡ3f?e8ecyojqj$Ho)<PB<&HE8Wrg5GH[p,yBrID='cp&8mka>v]QF%4Bsf)RF|21Z_R3/;..Ͼ5/q#/Ӂ*|!OaJ o-8/QV=s야Ff0e9޴ iN|_hcS:0%JPgi' 6p90?2[ L.c[C:E"9;_"Jim$ Q(C΍d)#2#wذC~O6e [ +DB\h6YnE=Xϛ_%ڲ+M3!pX-m["H;05ڭ/$At挒I6OF=3&RDv fg(ZCY*p^e:@tpʸvZNgJ@g0P&jI?`Zsf{aϨA:n|>1pQvZ%lh[&Hpvd5JBdsF0x;D iȜxzJ&jLhwӾY yͅw} ^&l}x)pSE2~6x /86AMGkh|Ul7lR #|b[k/l[l]hjv Qk_h+ԄJ7=9Pn=U}g7Q{|y53g(>9;NvD%}okR# ]zY[µqr-8Qx~hFrg aЍ}a2n(20nhz`4VuFF尨H^pZ$Fo8};*9 ?WH./?*Z?(,fٜ%_dhɢΰU,@$pB I OYCLo|fJ]xT7anddDjgĺݘRc"TXxG%1͞Qɰqk(+Dj FJq;"g]z0l_e#mlv(Z~m[Ɇ>rsvGgEg[-U>̿[_Z\ L^]X|k&zT=2tzm`%]S3|6_|3'W͟'߲Lo|ͼޝEoP1q&=%Dr/ -R0ᦌcڹ[hV0H*mVJF[)mB@sDIs`O=* TR dxavk_7N1x:qSJ!5Z}f {[){rINivu#B:GHb{ĤXe^mnPw-[#io qw@ |CLjACݕZɣ)8hhZקTm6Ē2Л3 !0EYD5GQ. YsV\$S < =ȳx `fo,c%lnt͟y=Atk^foq];0xQ}}sM27F x y#16e8;8$.g(Ш9yVe$~2vrshD}. F+˱ӯ|m?^Zlg~hvdB(!/ȣjT,vgX#/̼5&.) ׎2C/krQ3)_|my1/^]+_]II6 Gw [Lsd$yLwXW;%Zy/WfX.9S3 l:ΤREQ)wjUuzAA[̬4R"h-r><{ tK?r֟|cZ}[ΩB2! c,8[=# B$<0xe a~[7xtF'mW"Y2|5&Ҁ'EXS .9@)1#$e 'E(/A1qCN q뾖 dF '-[7VHW[P)'eo{eM9!tN)s 5}_BTEFS]镶t'@gS|ޭ]X%Uȋqq1%|p> ݴAy05:i# i&nG8ԟ/7%!=b3Pg#x;?[G׵1QEy$MbZ/>I.S~KU@80>ƌ扐mHlr^錿1}<:O><76ĺ? 2Rt?ݏ%3 WI&k}U nɴ^#KsQ!Ҹl}dM@IDAT̐bE}_E0 ? 90|^oߗ˿?X?w_|;#s-hxx.ۓU*CEaI>Mq.V]gG!E@gu !_JNK)(5`{揗{dƿ9 ̢50 /՛d 't,,d/y#J07[%&-3$pw + HntQ"0vrזO%`촬Lx8 m=?,3x߂gsz,}aѶ>\b/q־(>p2]pyީ++3_x-}EaR)<ڿ2%+> ,)p4GmHqP-cMf~@71TlW0!%mo^sD##Zk0Q@H :H`&VwMHLԀ0u05 C͊EXjz]48ºqGyB] ѝo%"m, ?&24M77#-;z?kդ^T< $eIJ|P7+%AcMv4 CI<ڋp *"P-+0յM />Ryа6lBlxQqx4ڇfnjuye\I(=x&R րWCc4زa9JvV@P"<&= (d`| ٳWiR8 tWP@QMH0fnO~џd)^As͋d)-n5kT+ KZ鷦/d?qc!<Ế_X$fDɟY)ZxIw\]﫯X}84trЖglSs g݇KjkDr(Z+<@ 2pU`h.jjp/.&AX?tc Lk(UpJaJhs"E u"!x}\>0F3@ ɓyuy1}'f\'൩2Hk^^;rz\{` n>Mfg@tLN:xGFx^9 <8O$4yLH+1ʼ!cԜjcu}Lm h\lkg7\xgNo.~nr7gi[ޗ±"w&",^DGcѵ>鸙IXa$p`K*O>]%[~'d$?(;sRvw -ڤH5ByLW\e<:{tZf~4'S؛BO0m4#Up`!"Eq'^p~Bv}iQ_7܊P.B (ë!9I; 1a1fЫ"(?R"_=ߵ>FS] a6#T7)ޫNHTuIH:~3QrkfrC6YO|^%!>MrA XxDh] }l#3DcKN&^N/CK_å%&=7ع#@nD'Y6yv)ID7Z誈m9~gzf73j|莟&B 3 搡/Qpash'揶sD%Dr*wn/^(x2xGF #cJ!ya*KXu"MR/7xpLd Q}JCИ-sX%2l2 cz% EiumNues!~˻Wnv SePlmVx0eC7B}W #F[5 >/8MW "HOfmo _xK^# t(9Ѯyx'48)t“ND: WKq }?-tko4^<3 ZrKskHdd<}E4]B%k!ݷ_B {SPAHbo9Ŭ~ٰT!"DM 3<fh z)9}d"Rv@^}׳_A+Tߝ~R`cNEYNJl֊nnk+L#^~8%B?qkȭ{OH [v1?O4 GbYB?^*iV6d!x50/0Ɏq:h+̣%X& SFfh{~3s_BbRE'p=o o&Ļ.`0h/n$C]&'Ԁpf]^ONN< 8W7[(L`u8CͅqȔGuM#0X?{gI)>BQ% zusJdzd|%kTh5aM `͂<0 vd%d!Gz,stj0<oaǴmxBc IN1"Sp(9rb zB_xx2LC+xd'r}ʌg%eySOXTv9V;=z3Zr܄= GUbi1LŹޛtb&X2]7Yϱ$ %Sh7Bܽ%xkG(+(&к=o-r\OE5{5$JW6d^[7D(& W$~A5װ61Fv}k-m %yUSvop<ǤBYvGv0,KU|@dmDGY S\ *l+YGևb@{cH1$<5˰΋KJ{Vk]fߍEP)Ѷ<[7SK "xȸJSH n.Uܿlɋc (B?6XYpmܓ6+zmZ?2)3< b3`)wX+6) M?r@V>_ͣ©2|SE#} qWKe1 (T%D ߿Gƙg|ͬU(4rjsyzw׎hFH~ogi\o3-ӰUzv溄!촹P=/ޞ̘-oBH ?o/G_vѶ,#Glc#1z>yZ95BޓDn˃꼓nH1U׃;t\ [6:_s3Qn$sɡ PE=ω*YN,.Wdkhr,O323KiM}A(xczW>^?|c'~gc[:!:9rv(9DΞ9_} $Ûk?]^hɻK>}ZP@DUwg"*B; ޭa6/@J5&#ˆ?"p""voXX{Dyrx {g;NaKF<5ovs"?wڒ)WPPYn<"[؊8i(aX>30e M!!ALGFF (NHa7wř(Qe{tTX=z2ZݎTG Lf]N %!6.Hcu8J@t=!QT5`@ z07I^[ݳߘ>(,(k콱Q/01" 'A*Iuj&;Li23[A8hBE$za3' &<qfcP:kpz ] cp'L<2Єw3$q*XW <:Bv $ ; EfZO \ O06D j@e.9]C<%@UgB!pc;9;Rw\h\`}M}}M3,dEMIK;}O! Q? "HHl7 a)]C!LV8zi+ڭ?8X \i<=l+3 )Oj6g1hZG%R81_l}~l|A4f U$aw=Q'(fP(2<9p_B橫?*vF{3$Y)yflCUT&o^@6[tPy5;Hyc.;zh5?iyrn7 ݻsIi;38\1vXp?g 208=^AX5Q'f~ny|39]paOor壒!/vkW u"%Zm{CUY_K//|_\BE¹ljsB 2Ze=ZdΉ6wO?:S@f T,Wkgٺ` : S .6jB(c!vR`Ĕ7AYAa'i;Eoݠ ;!k'dƌ^2 H lXddP1\ K$sMݻ9qҬacY:Ms;kQ;`NW.)̋=PbH< [?+#, uGhaK/LMK{("M)GЧjYyGzPpݻVGdIQ ^\PƘ۹h):BPC,# pM)RSq *4d5ژ1tpy ٦HZe/ow;v,;vᔷ nd w><3Lr?!)A2vnwF{K@h 7;w(>h FYS0:t2Kt[1v( CS*@ =׸ cWyT?ágWg(RCS e ]p,aDӂLGw  N^;^A[~7&MA_c}'%\KÅVЛne]Ƌl}<|&,e`L%da=^1t1_j Q :GC%=V7 D%+FX)[~ O,FW%xEmA6( Qa8`=_]C#shk +rcWD&=E3> g-׽5=2Ghܒb%涜1cF_E+E8 Ӄa^uf\9jM>e$QS!xV-]-,??}=(EY}o~}~l/}S_\Z޻~mعs#qODs;xY9|rq?t?GrmK?@\,. DOk`^L # NPN:d.%PV4؈'`)f:}]ƣ dZa*\aY 7FL{SH0$}-KJ F s06x'CXD:0VaoDuu๗!MI E8t'G1c!+nb\SD'GѺϲ{^NfTTt|vH~ 6ndosx1mzH1-/ /џ*:.M 1ГY$lGY{ж7==5iR1|<)(J W'Jܹ\޹ݲ/<YE|GLmm <`s;]~cIXHwn0^Un vGtk`kX2.UzVך9̇XpB’pO Xv /˳ 3a<kuֆYZ]Y,ljyp>=5.wϔsLΝ]TsQ -Y*4Ʈ9D5(QhCƛBirO7_pro+-.tF 3 k/Vd{(وvv$ Q#n^$r/!fD 'p /&{mԘO%vffu21d?ct?e8>:jNIvbϡ+[ ]$,hL#i*[+8ve 9)#cv>*^$#Ct+@<1 fw86Mۻ*-I58j g583FEj{KhWH?N_ͽ 2^)-0Mv- Ƈ6ΐME 5h.Ј)CxeRC蕂@.ZF@ѼVO6y½ə9ΐGCN(f|ʪ̏4N)dRc$g1Ġ5sFA7wF߉'S m YtC8/x"Җ+)r8#e 5$' m '=hs 鈈-q3PgdC|ЙDKھ_DkdqSa"(Akxujc8W4x fq Ї%7YE9eOF|Z\9`S\l̓mzё> !wȅES,Fzq[A#mSҺ  E1Y?.Sb=SR6ȏ=̣dcƚ=|,i*ӳÜOMU)8*(tۍSwNUN% O8Z_.L}D7_v➼&KJ[?wm 49~I4.Wyd?WU7Ǘ"Nh,,\R>[RƗhc<ݻsr3934Odw{HSxOpƠ=ڃ9GaL4c<YyT=L-2-{Ƽ=zfHd96%{jUe -/Z^.,_Uv.nAvvCEI`Dl5.(Hu&]2 bv$h\Z<cZe1l[V+[]At u03E-l4GBZ'Z +U ll CbcTeԍ]I6$[3^k8ڵiǢ蠥%{Ë J%0 {tAaUQ Zuʻx;jYT8<<$DJImGZ|`)tJZSC׍`bP=jOPY4{=sED'#US uGqZo?c̷[9I$R13fȳ +GW3}%Ihփፂݦ.}~!]LwBUb/׿1$anT '\gaž*\CGYw'h86(?>JQ3ƾvK׌1 yXv6/@ѯ>Ƙ}yRdl YQgnoq^ܦ{V9yF*.5Ǿ'd^On\(\a;?~a $ڭ}U1:8ux[M['_/pOȌ F '33;y6O % 1$41=?Y-vHBFb]GOz2>n۫U=ߟ7E¯]V A< 'Ϯ^ty/^~/.kNUzN'^~￷+q4}Y[t  DiSjuNeȜo~73t~קDG\uWW>ϗre!ǚlG.+Qxrk,d~(Ăg90h#\!+]D(p*'jcga Ylm9'?LAГqDp/L^t|CPv!IFkA0mZdpviw=$M|!, ;׹| =trX݊9 `g?dخ4)#8)>&Ogc#ȃYn1ivJ=lMRIbl9Qd6A,lNO /qPX'BKO )Uʘq`Uj}WFr ucEp!НA7_)`s{$LrF0,pn}5 6WԐ(*: 1[hBin)[jtZ0&QIK*I|.d7FBG'W펰 헳!͈3NfMמqClCJTє6@Fn&F88_vTZ<PH[]#4-5=\}mfC1k]K)4 gd ff SnqE/P0UtnE5069BY8k,50]G%ƪyG0xcg2dtO(>t7+cax<(̰5pZjlhU1I,UˌIyA^gV>k,|xP0:}5ǟ.W+V@i$$^7P(~'\q$SQjEh6(NQF[u,\CJvX7B3NQ7~CT k>#Wuیqcxux:av׼EsRȎmklq-]GJ?ӱ=+aK_H#IIF~F98%2<t%r.}rz(ͭƿ_{7~뷗?WMSOTҮh|zA;揁|\BPT+rd>=i~Q_H˝K,/Ͼq-ˀdlXG"L0;ıS!~ @B&ezb.%gOu{ 0zB3I<$a"V,;QW v?޴58K4vFe|8d'ۥ4B7NH(B.s' MP|xxԘ~(fspڂg97I0JC"c!=k߽BVx䁉[ uauUe͂I-~FNIAMgқ@,cC4LBꛘ-nUtg3LDf;fύ%A28v[S܍ftzjĉwjm (2׸x-`3 4=_dB?;>/ml]&ʰA1j8? R2NijsG8{}؄wxF!ز!aOڨ'7T̑(^VFh>Ϝy ڱ\~8lmX#D}^:D{o'&h}ZqCt 1cx,lnVi%[xw݌IxVWŬQ O l`}ueM ٸ8~ ƍOvDҷ$(JG1 n"M1-7;ݱ,~b2rY$ & Y[Ԃ-v G/`0 lveu%RHQ8,5d1dD['C{=g׼^{o36xpx[8T@Ǎvdqv˶Znz}>Q0X*g-L124{Y||oSw}5-t@IDATfvuC8]G͸ѳh2;i; {ONsF=oƜjv`FQZm,ʾjw! 5$|ծe Y_KR{7y:#EE=K8EÙ+DD<(zPZ8x6/a<cq֗)F O"WwfQ@c[UQ`H:$ d*v;Ӣu>´a{-Qc|jgK:UO*ְ1>XITx3HCe6d9x`7b^ T\?;HxNڜ8r8 /մWa/Z:9&.Z^Jp).["QLWf`;pJ(b CTL(Ë |{3R˞ZKG=W[,m[FIxH(}=DI?~+-)l#吩g) %ͷTۧxtu i pBX`C':MxG]?MxWF6]:re5# v9Woӎgj.=Yjig I0O}j)=OcxGƮ_ݜ]AYR#%[OmVdU>vS"N/r-nh:Fcٻ3=1Ʃo5Gȯy n)b阮)^25B,Q@B'!s I헣jPJmW|;u)l+ v4ƃ~R2[Q󋇭~dH(4u7Mˎf[ _\~>5` (3WeEydAk9kc;йyĞ%Yx2*c(;\ZO[Z@iO,^ɼȰ 0VJF+s\sxc@t,G}?\;]~4Dly󍷪 ګ"[۴\L5FğM+~ d4'&wO#=[m*6kte??X>nyFY)WmH6K\3͈s_6}x*z;^Кv^+66J3 !hv8! 5s"N *))ʛ^JO"HKݦ)^ѢTjRp-/K{o T[6Ids>UGT4 58/יOۺq|l4`}8aˋTC@-RV.%s?ϟG|,1sz/*;)-1$i)l(}̯P} QEu⛘B(8<3:V\=Kp0lĨ Tt0T.pdb́0-\&R0<j<GX(z٧blKndsE ԋg2E^T;"yx@7@B͗Di1Ãu 䣚r۷3iKlWÜT8#GO1Q`bQzD(ZR51Ip|I>SVqB{yK¯\ ,TEQSH=ȡLԷ |' œ8 n"NQp됰ޣ :7>qu+lbCZM+^b'Ea s1z2t0H…$;&m8^`t1y`ante/wo׼fJ꼨4Cr H.mf*m:3]m]ߦC8h_]_l}W_㝼H 7iy ^>Kyi#D|HD7W.cW)`prk'@fk'a^4 G@ߠg;yaڣN%u?ܡE:r&kglvh?X/ݻX߭C3q5FP["~9tm}/>Zp ڟld>z$*^N]b,-rjr, .)wb`΃!%g_^& sItit`1u\´=9sTle θ^`4xQ&g#l?)_|3,r~=wQZkﾹ콇w[y~D&ۇm9?lStS'+5-}ANEyy˿<ۗ_cg7 糴qg3BtQ:^kbh`G!GO;R, m j7bGC @_Pʅ!~b8 P C&s ,~2jKA`,1*e2/xb, iQ=|pO. .YΦ:1~ @"Nb9/ D~kxz~GY 6y2C8R~ͦqWBKyHOz/eV"Tm0F{5F>S(cMY-ػ'O5:+f*:6ÓuJ,9a9'qYUkiis}sR6&=)ՉÍ);RQ'g61\" Q;nz*("Oՙ2hݜ̓;ꝽVȳ-}9dcb!EKÇ$}8)'߮3qƵ֞z^Vb]k ϾV~|Xot*tkko'/xyR(ŝ6O֕Y _go|헚+SQzXο{i n{2!smA%#޽3{kl$&˔nc+24, vc.³t{T= +ϥ#WⒹ2Pd1Iwi O^n-ӳCto%}Ӡ7 :Qs6LrNte*C蚿 )yog/_GG>.8.cJw~ gFj_^I_.wn_xȱl$_skV?DJ&o?yD+":X!7c^VzĜ-QcUTU~(t>Q)֢ޓO'2NIcƼ7&MSn. Pbԥ0Ef!! -6ۇ٫ GvYt;!WH))8s ~c fj _RH)cPD|eS'ZRH2(`U8CY F8LY\<= rLߘߖ-Io< 괆])n@b6ϮJ=\C^{]Y=@U;3eb_KB4!sM { ~ S@k`4tҒb+0x^n?/3gzXyT q첶]M]Դܧg%yq ju@reFmh), ra(OAS6johIp&;%1Sg#h;w!aO鄾?Pg9sp15860Gpqf$M1h]n1:Cq9~yD׿1=w! U?07dyl"<GNsשUM :j8x:dtHַ즱8y?gЃ_mu_|W(ZX׿G< Z8#W91z8da~W7}F|~rr|lR徟zLq,QN6 흁Lo6]Jeo) ɜp)e@?NEݹ{+rTg]cpswIM=ͼG/~1wףGyG-~ݶUQ׍ B 8?}1\ꓰ3+'w Þw1O?YXL HQF$L)Dh PoHI+̈o}`GԖ0 v2Xp>^;#.cvy6EERS"5U}njn m~(uʀHebZIa\vV)|k{2I8‘9dV"t߽͞,hZ/S3]zY΀EVVru1<,wt )'N&ވ~]LXǮ}89 ]Lajut^kY}F_\/6j/!;Z_{q],4u@'eڤlbd򷶥K|8ɴ];C8pU?)`7PFAk k.__ 鶬"gˇg:`4 E4}BA/3+9V&$+6|j^8 (3z~eDݎ@c]ߓU3O c~Ɇߩ@7,oJof5wk[t->x}ynh7=Gٍhb%Wwn7 x_~sq^q8s6zTYWޡ?FGn/hauU+S^:L}?/%Zk([Omw[M%Pۑ3]:1|7gj%#"-kKӾ>Tav@y@K` %6FJ[j fLN)D S fѵX$e!`lxj25x=8 TVі]( q0%/:(ss.f#/~@Ha2@7o"}u~j??[6v hP|$G,10 a-BIKZF=hTj+̺qƈGzaV4fLR6"YU{1=D p.[{  UxK/ lM[bYьxh #Lz 8% [9L*9-wR 7 ףykm1{=}Ƴ"I<' 5;q #Ex|]kZ,5OT*,w2v#$T)e`8ET,RkJI'lOK lpJ[ 7]kU kgCb6|jigDQT+ۇ/@so-]暶fNwO1o6'kԇW"=9!5>`Ψ ~]s+<ك7:@J8W75]qq#ށf=z465K ͉P)wl~m:o|7~K+?|(i+cSH n/U^Ҋcepx1lk~6:Mx=&p8ӢGr#OnL9!o# 6l >`8&P<Y 2z.(i-?UM Pw -XnU;;/gjuڶ-_.{gȊZ2ျ?y`%|,}섩߮Ȝ/ W[]U;X}pqSퟑ1^xfN:gq"_z-kmd_(`%ޟ[1-DS#[lPGcڪ$i1젨 ^T <żsHg.2/Jg% $ ~P~{ڕ-`D5Sڨ"'`4F ӳ*alLv2Ʀu+KK ̵KaB<+ bQ'Qk.՝`@D:m1sQɆ׍XQ[w! |V'C*86Rh9h1I9]ۖe32p~(sXO=i< @g R*O7F32)$LzKnRp?sX.vV3.}aNNݔLwP̲nUm?vb"fpx9+F㔽qތ_Z=S#NJ|t}? 7 ֔H=Hm ᦩԅq'ˊg3r΃`C^ ;Oj,|móOK(yKKs]#ꡙlor4 "&("]0"SVkqJ6v @, 8 8hO /JaR5ѽ2iu1*et$>}<H/t286@|ɉ`iPw ĥ0w>${~x9]|Z#lyywjv^~~S#\ nZ0Uеt[v3O=Goqt[d;EA'h5g8&?{Vj0igF!뉆EareϻwBr^)PGh#iZxюKxj/;`I#FPFi 8!gE)64 2댁̼=X+ D* Ypщ,8V߈o$k ^M3rb"Uw\ihx435Cx:|H8()(* '9TPJ"۬j11%]ՏթBUZ/528m#qJ[;0hDoK2ouvVcӌqfx_*D2=S'EO9O@IBД;+2B 4:?D zl R`e0+t}ݘ <~.SB$4M̀NnQHa|k{;4:B4JҼ(|ڦq?mG^K|ki‰7fmֿkSg,S]FȫIi^1Oo(z9:]tXyP7-iKn;1d[rvޭo-?߫פj5P6}n17VύeqYbøpl\4etYzoNHBoǭ{^yS` c sNY Ə9tLᅙ'^u%:(^kلAA}BLms9d7{gY<~ϖ*/4kM HQ?pfȎ]V` @;'ӚB>m`&r[vMN W Nu*Sم.anL(U_)4(Sς0[E=MV(l*9)O|+oMm0 gnzTĚ?7CeBk۸lՉbnUE/ %bMi,im 3'_=a,83HR|e8Z@;t 9ejly{Z)ǫfW㶪Q'QmP Sٻˣ%xO(!aZŌXu@WS"eGFPG흲o-@ D*ݳnN6kx@ȃ{ Y*ѽ{YUER:Ϛ # \<> $&mVŢZn;Ţ sS`/gis<І A8 - LTbvDg.˩>mEO.Ti?Қ 9lH!W#39DNn0*MO-UvChkʻQZ"'_J)8` DH}a(H}Jyv}xlH-YK`w}ϛ xmƋUod«q3,=ņm]ڶNy x;y]f4UFD0IHMO};#y66_70MLS~W?A_0بGg2=CV2q (g}Cu׾0vMwʹSmL+ڋ朗\S2 <ͺF*aN3J7}p\}}1}A&9벹 C*C|dπofDOǭ*o &eI5 ?I*Jjdv ϤOUsnþg .hh<;2yvtq9&!xRZ5;?:/ Iwr ؐh4cl(+:EH=F$ڑ>G}'8N_7#xx]Ϋkk3)볐b&G$ 1=|H7sv(>_xx*kLS,+C^KF~=Xv;x:U˖4=űTT7^ :x >w7HM:ȺRg >3,ѿqrX]8Xcio5>_ : >^;{$`}e:?NL8úEK dδGʎC^x[9).O&O&ٖwvq. |.~2 釳pX7g{\&h|Ʃh|2X0)61}KλaGxkĿB'[<+zF"κ#ZXvŃIɳ~`lQ)!`0/KR/~B*(-:uE~ O#"w^z#%d@i˘b") s`%~ xrD? 3mA!]RVڢuՊ@:k!Qt;(}wW +ǧ1󤘃F*/U#9/(Л:#OpBH &5 :FWk0KiҐ@gA<T"j^s2'>Fvw0A*€6TK>CE8Ϝwfx[jƖ̵ř2}. )YMWx#8f ^D7}UfЊԿΪe};sAP夨(M?ZNY,T|fG}ou:(QfmRZv'v;kVD{٢9j>n6&΍.袾v+zPGLw.<e`SKM(퀙\  |6:>&T$BoNVv'C?BMOݥW ({ :y\^zcZiˌ"'Yכu5qhk]2ƈy"p 8x|YΛ~$s4N8 qCEշ{N`}-oG?G9P~: RKYƸVTM"ڠW#Le׃Rdj}=AfAJ]w:Ψx]&/Uυٸ&22wj8]{VSeQ =7 wjdkE|9lQ?}Y{Z@n|cDn\[EQ#l-˯~+˟fAQfqdc] r8bt\xaY0'1Ƿp7`]-3Y|w]`$x3/B$L x(vM{318![ETp9Y=:S7ytqEm%\ra`&ADD""% ~W*^ʘQsw*.y>  D v^±t ~&1ܘN#$9N*9D0)phMe7ETO3Ųz9j㧟*;6.+JSD30B"FkLh O0c_y2@+zVۄp"ZFPl')MRՉ{ ]7vA_ ~#x9HfycB;l(י`Ie,R"Lh7m||ֳٰ$xjAkcf*^`Po>+3e~Sw=~ތDМX.!gCl"W!Iq]eA̹ɌPˁSmqLR}w[J!_/TA+m\O6lrFuF|=Dx-Xϊ"qHdM'L!|gbĭ~|F{ǮDM޽בA;f {5"peYuO|甫MN1<9dƻ>> \!E[j k)Lz(~i?k*Wn/_xRϫG2~ڪgTqGl~u~pXywT8 Hn,OW@4\Wjl--#Q_y8S]T׭.r жmEjs8Dq[˜hڹ6 : ;Y#z8pB2M^n|f0ha(Il"ʂv qSr'bd8S z+Oq<6P}|,l2qZ m*L'J^ˮkzsf XȞ}܋ ")rT5bIWcDYnī"+t/bs.!d3!buQ&l*?En)LX jt(ډ<ţ׌`m;%iI$Ev-W{"g)JܲN0Qev0C zl2>bdm CJֳh̦2=;cJOjaC6Y:rfG!ӓHjt'{^Y_J;MZ߭U91|E,*MµԳ(Di`|"6vƑX#%yGD$@sTB3=(4\1<5 2P|^dNQ 3~]*17|=:7E6@ ?2xHqk"b7Du:ǰuo7 良oz/hat$ \Q1fv'U<-"t)':A!b d $b>>[_N9RT.̨?~#/%"+7byv5I/WG֫ ? Z1=o1|y|xei]esVHY+v?r:c*E7!Fe(A'{<цLg9]#.A} #o7?hoq 88ȱcy !ɭqIS@OέUBO+3kǽT_j%+R*1@`)N#"so1E˕b:Je۰igLryyRXB:kw3)"ʞ±pM)%&ehyU~m"JR 2cNZ2^nvSLP?aM2seC^rN]Jk1f Q)<"=+'@46  y=C ^ZIF6?0JtB4$33i4ŏR;A8 !ٜ dG?>mIT}z\ˬ{]i]1`R2iy0GKBW0l43#dxR[( }c+:]d!NPy4Q5gϓ^t.A~ee>K!ؕ]6}ppd8|𦘈AA27`$C:2!>i;pvk|:Uџw/qS\}'DLތeU`j?E8ٴj)v)g$/n=sЁCOS8dϣ ^'8 f脉~YdXA+f5?DߍqY?B6̾sxdyxQNJf (+86 O|2VVU}Ӳ  gF9W#Dqj=YGV^d{p1e,Z:Mќ%k8y4Mow9/kS0X&p)R?kYixNO l{A| ~ >GO ǡ'<ȉ[pmt]F6ĂS5\Yfv}rƉ.27rShX%7Y}K6;|vd h zY`yɄaޓgg9 =[ "_ےxQ<q1OXRex4n vX71{t `et1@dq069kk;e<()^75Z]N FǁɁ:SDY@#x((߳QJ!i8J(# x#j8*rf'EH/jV<|ID=cZ?33NC(G?wh΃,7RNs~w68#U;79 2?ibARvu GQ$' ʯo^]V&|G݃ C|XX\53+SԐU! 50m5b=Z7)Re@IDATm *QqQHzG9q{)W+;0wqg8l^cNtf2^mH30SUsǘ9pn cnEyp#g*7J;b~wLZ\0FNȴwZkRQAtRlP;27kh훢5QuIotyXo`-[^ ~F^n7)^niRC ־G__deu/,xtNЩ>3;@^RɻX dvNy=/ʒYӔLS HeG8c4ӎQ6=b|Y jE>L'tq6ܐh&o8OSEȟ_@g5^&HNָ\h0ΕskQcpI,N\gdq"#3ј-lshjI"LjHccB3HJ*tf!f,d+L-T mv [4F̣q Vᄫ[cAAg}n AXdk]nKP=ي 7*ݟ7/XN}" I .U9 6ep(*%%;0^|a'OyI6v$\2 U) 7 ,W'NN#F kIYG!7N2oz2s$DjѶ( %= >"q\,~0k38k}=T5_po#NhчM(THO_Aa|ux1Nr6^`pki 91kum+32׳E7^&<ș,sZfّFϙ>zXnf9߼~Qm;No*槿kYݘkɣtaId7 ڞt}N eg/NkM)6ЫgQ@ClѨxq!:w@Q|8Nk:l=Y"%'`9ox7{'9ϷLtO<*P:+| tqtemo5X_WmNd#^vcF'1^y12y#*C:dZL+]iõ e#1RDؐEL!9FX wEl;l)D kg{K O0u"DHJb32<#<}'jR-d6ƀ'dYfqBN!q<N!YjE>/5DQ1rbl0gbsNQBLjLmx3KiO #nD'mv' T\ߖw؆ sX .ssW0_D qO^6ͯAa}^hW+`q]B:NJ˳"4GCTO.nG1xQDW;\9@hήqCg<3]*vы2/z`mUgԩåfCLR+ZFG0ll o#/zq7V;32IchC_pPe<$ٍdq&';I#K;J[~i ]U8g5/ &@iY4-=GC.#Lx0436#qtqXDx xk a!~cj'Dht?:֠w+W1>kAy*n,7ͤkˣzJ^@~=GR02$ )8|p0 7̒1|䠥/܎G*hRz㄰LOP (rdh/w@.c71otK0kοgcc6G&6 #X/Sl*b'f=x|niw  `T5)^v dDe6x/aK1R}mD_~I58%:)|q6XQ8 " E,dPAA^J@Wtܒ8=Q (v`ȹqs~QetwpMa¹h(4p"2mY<;q8]>,hPGFsKXO軺x$udO|*LLV?͵/Hi! ȳ,|D>_(鏣b]L]Tt_U5T[hspLΐw,?W-i҃d0ZWa=JZвW?Xj;)E%;?{8O?mD Sԯ]30 k g|ٞ6PɆIε,*ѩR؄aLP@oL[.-n$2h+we%hyT'b%t6t&ZVg#{D˃7_@Gp'[fGf r+n^iS2tFFXreEps6$L]ւE#c#Xo(b)6&y; Z1颫Tz6².”<7@ HQu0%Q1Ѥg3w/h Kc=̰@']<$ d]EVuW#0I%ոEoJ[&8+"UFY_YޜUk,<{vz\>?j*ck~E'[iOZrC;ő;e(ӟ V`YQ1MX$Bv TCa_m)@Έ2Ҝ{F)NJ1xM;h1k$zߢpqBehA?n5u1}00 fu;p(: AÃ4n#!şE-;slQa*'hKT Xd#ڣ냃S3]v95>Vy|U#ʙʔҳ>` {VEha0$n령Ńx|V$g0YQ?U0wWNA y IМpvSM:sc2rC䬇ux&`B+ (r.s]#@uuxf2$ݠ=B==7zB/ME1?1udqB\[YtRDgLW{/s8_Y7ŧ!#3#0v-%ƦSgiz-?BN@$N2gײ$S~@?=?SɘL@t-|jw̙k>{($hh) =}i ad#J7Ѓ;oCpN ^rdy@2:۱9!ͧ\Xa ʣ\IV3p0qa[ d ] .|V`K#S"ōnTdG2 /gpW \S[aЄN8ms~"ӘN*cy-9,\!I@F[hܴW`LʂQ."] PJlp@o(FQ[iY ZOjzvv1yf2}Vm BLZ"eMZ֑b6c#hT|0~x |&l@5k|[=7ǝ{#DBLg~* Zs4b`mE*{Wt(d'B~&(*>v6x㓸 GDdBc̞imw͙-(8\2Ds2^8Zh/ M䏹FWt5_Dpa8)jplkk 67K͢1+>,P3Uu5<Ůo݂ 'O"$eBb6 GSG1zSqYtrq>{tw9./Z+JwuqWvv3\#4(Yzk TDRⲖ$ˎФd Lu| w=c"lcISĨj[\e.@V# T2E+1Ch^?鳋`Leޓ<qZ-;c@%/`d,I7֎neΐ-3E 3 #H vo9 0̏ 9 j"HMthvҢUM߃cphjGkۇΦH}/sa"VaQsxiOWFL_Ȇ؝Q{ M=Fr5hiQ iO~zRO_dwC̋AKFNY2~^ Q݇ Z7N"dx}'#:<{(-+?wCnH7Ì5E tn!Nᜧ0 3ؔO),i e{MBG䬅:Jn 5j!w'lO 0$x4Rwa9$*n-5(TN_MDn2RLOU~#; (b޺T%j`wS"Rb'$p|ouOp+1.Q0f0JD˾!|17ϟ?ʳc#C hcM{\tsZfy[[黮vȮ߼8鍭l_Ev o6hgX6RҎUųjw 06,0Z9PpnЗB9>\ց*L~޼HC%9ĥD&ԲJP@<>HPI9Uj)3Dhr9I LPo(Lel 7F)lsC pJ$Zein`pBket1!)6m]+^UK{"<'|+ l%܌yR\Szvj{ NB`8LKa8cqvઍ X6&URフII0Gi oC{C?jehD"l \xb*hK !{3o-AYra*Ep"* 8I;K1_X2?K]S$pa"<\CVFJ-9)`l)ȄmՄDDϼNEFZcyѕ| aZ >ҕwҭqpI5C2co4=x|3=g$דO!ǗVx1MZ6ɯ k|3nAN ۵Ǿ{c2zjm?,>#lڊ Oq>yPT/zy1 kp39<ѻGG=Zlƽ;o[e|xpˣv[uRՙlq7((w^Y?^>jCjR"ϸ^ 1}Gп%Y*ӳTu.Ed\/3N>wXO 4&Ы>^*qƜ9; 9yrNϏ8>@yԢ,Av)tww>׿*{k:4sgޮN_GHG +`+ލʾL~-aM!g1+5bVnL"$E4"Q_g0\B B4_\=\0n<٥i &x}ƾ c27{Pj((5vuM`ݸi- poh7,t6Ry[y{`1@q~E69lNYXlH9>S ᗢBOi&j+@]iک蘶P=5MH#щIl.1UhSEhʀ"D#K9~IaYҤJ)^ \y$/:h=FQwsM{\c1t=ɞ (ULh ɴN˔/2:@66E(|iND'G$5i'23Z5i'!vQdNMa1V1K38'v'pQ'Y+eb W6ɚUiGㄬ)& .js*l4x2<, 9~PaitEcĞsڵ~a! 55pL=7nhRǰhii]_7 _52#=&B@|?cǗh%c)k%p3G= 8)y& X|8 nSvYm>Dv/DH3B q_߸;ӆMe9o;?_~ X8TW2J{w$3moI+9%fn>q*!lXިO KŽ2dإn!n-{{e*Mr~&;4AJpÔCva;6aOR #bE6]R}5D% "gtn+a| ͛o_[6ߢ7-_ח>LO>x/E klUͮMr) ^uZ\9c|AZ l% K yR)K=JSwR a)ȃ l1)7?/NFw׽%vaݝ*g#3P_0(<& Pv@to-1:mlY⢫Έ8as|OStvg4:-82+|DԢǟFoh3Gj)%.tPZ΍K;EFǾs`Rƾg)ZF|an65Oc#_up_s2-%B%1M{&:5.8jaԜr2|»0GM K -jڡUU+G_,eQԏt!rt-QyƞR8Yi)A?~l4}<]ƛa8k3s:`R_$?1#M6۶zV[PR%L=LdF,e`z[ɀ+hsj N|ZQƇQ΍Vt #uS]_9^.pLkapB<ѫ7ohj@}3X?hj :gZ2Hl3R{n0©0~'@?oc"/3: "xGL 6d8oe_w2诶koC+GG77;oRtyɇ8KcC[;"2'Z5>߻WϮ<5U3dp<Gݔ1gaOE+_pɢX !PTמ|UfMܸ}kٹ2-ѲqDMqZ|ƞ/mdc 5[; ~& ),O?doo?Y&|tpyݷOFy\*,8 ؆F5Q-m:5ݐЇt( _aN-e$t<\>lp3(-+b?T0Z 4XgfyP\, tOuS[?SR;Z[~2\iPSt5/BwBLS!m N` J5^6a؄y[*3ש!$RG4)gS;kS!^Dl؛}U h? Fi_qb81'FƝ[3c~m&Lp+FGwgq =m}>&2=#֋k ~<UU8-d<\A.5/CTTV ޗQql[TwdڶZm*!.%Kv)cgl c0mR6ލf.2Ql9ps,0tFL݆9`XӭhMٷeNrNF0=TgBcL (kM\iYv'籲R&ap >w8 ƀ#A-jKN'3;_pN繇^Z{sȎ 5NV9@VEPXs2WEDHnKVJw)[ض6lK1e!;>µ:]TvF,~:[9A^W_Y1åej햲Xe_,@`Qq$'# [\[+uQ>:># *|pBy@WS*]HY@ߦ;4gf{ MglQ$"jyc j0Q{A6iq6x:7̅"poTygi򴻿RNUךQ5SOq|oc V*^spJ15tt ȳT Fx񰕐={!p@[9 WRvD +eml8rf1&,*eGr(I2Ϩ6vpr#A&oR yEZ8dCs›$Wtɋ^FQ1/fʀdn@U7s 8J|vɋn% k?+"@8ik۲`ЏIpu}4UjiEK4vD8x\dI#e]9%W3b6TR$6gu9fXnw/=z'`ϝqQwx?a,]1܀8Vā>kz x\b=w?1bYxdy-ɈٲB{RE U@>o 0jhڠ0R~Tg[zshy؄F~}3QO2}8G)ᾁ)w䄕;ۙj8i\_o"kG*Zu&&U.ˆ>0ϊj9]W;1zJ76F?܈XGE Oc4O+_яjuD((DS35Q,xCi~igtS+A,(@DZtJp'TV.";%2]cCYFŐ([J8ۄfYdO?k]q zp\>PV<c :踆D{>s +s8qpLIpd0){Ү7+{Ȭ9"[/TAWr ?O\1qMb;E*(Dmiu<G2,nm,~9<_d`zI=m$8b_tԵtvt OY+pLE/sea)Ǧ8_S?[ L31gG__3a}yX{s{{zצ!X[,!N8SWQ fTkQ͉Dz-?GqV{MdAL É6<|}rkt^ܸ>Gㅀtr ;3;O,Ȫ#N䃻d6ze(ޭkG9m?ط6xI|B|G nk{tӟONuEK/Js:;<(Z%dR&(!Q@x-a2|~YaDzV( Q)&EH/^d2("5-28'#XME̅_㠐.Fh*2Y^ROY P篗U*l8u)yg9ѹ ;f CP*Nѵqr.,a9&l:e{zsfC- E[ }AS7+2Y! wmßi,}FJz=ۏ 㽽5GTR09ڍw|p6Y# P3df,g5,RG;1X^պ9q͘.w͊ CZ)'G;ԫ8Hchxm^6Ynj~ϬFzŻa?ϻ3z]?&/ɢkK/6rދKeoNV֭gW>\?KWT eH7wW-m<ɿ, 5/O?o -?qxwh5FN}ZVzw n[ 8ܖ 0쿩C\ɓwFPVq U 5OJxMJu<|] K;޷&I{޺]<$^і p8r {L i[ඵ]*2vz12,d5P a@c_#&qtgac8{(&϶w6ټ}ރe3Qz]$J#4ooEdc w֪Ksan)WMuWo~e/@҃!$([ S2w [}8ήh3q9'gEpy*F_HJ6836W1T8S "%K/)4h]iqRdy]9/F˜辔v| G)Y[AwGG 8] 0Jo#s2GN Lt Ll`2C?,B 3&bֿ[S2[~X=1;vS%1j{YcPB<X(_:5?/eʓx(՘ /_rQ'-bJ̈DZ1q |6eʬuc>+^vhR !<<]}:5#s]IGCGvP L~%62 j <}lf|_X$ƪEƠJO6Ntx^@WX ğGޔ'C᥁*R?v24{m`3s^6wNhg ѱ#1ͧ`E@T/@dLA02|"c-o(q,O7~[?nӯH1SÙz;VwOlAOGtَ|;>|;gSw8Y)*΢i4/p\m˳˶n7'u/Qgmp6g{cLIw}~Ϳuz]'__lxȖu]F.͓T8YQ6W c& r;!zBb*pkNjQqxEZfdD217 p]Rr>k64/ET fWyA "Nc@kf vY$%; w$WnDDJ~! G팃QThgHZ۲O,n]föWF] 9g`\hjb{@IDAT'meZ&11`@R&˾`L] j4 @t7;A$P(Qu.oqhsM R}8(1q0+sV}.J̎y)\(ڣW5qQ` \31Z1)5JU` d}KrK^{Z瀄K4z ƭgj#h9ܽQLdDmݶ3:g$ݖan{'uٙG݉o5ssF4m R.l=p2 -~,8ؒ+gÊ橢xphP8_-MꄬKY.?njarUwk$_?õU'AyuK&G&NUk?#¸pA7%P^ѵ9lqT1o5s;zI&&}nԋ㋷>LO7u&'2cPK{F{aTZFps!ӿ<}YΰJ7eeҲI(w ݦB?v͇}AេDA.sۭv_=O95ͲUV.1`ӓOۮ>x9飬:K e?<] m$Yx҇GnU'q8u{no6ÔоX%|ZP~,^$GO^U+T?񑯘qqPRN8/x*XF4dɦh-ҊI[ L"QC"Vk"L̀Q+Ō>hxb-b4ILhdm}eWm!V=bXSyX" Bwvs I#>6!=Ky\a )|K(2" 'ȸS;QRq7_h/ĭ C[w(%řplc̪"Ig)9H+`@ ׮b=OHߟ0?VCy<ZzLS(mΩ) |x8ԟddvv sdPFa='VROw{^!*{κT-m;w[sfӫ2~_p6^{sȯY6ht͏YzVƀǖ秷z xP-WNQhNcUS"sdEߣYNuuFw[z>ɳz9)evXnw7~%vC:_K!m댳N!L3:;m^9Rwz'(,bqyp7P?z8f)fsd2Ͻ6ivU)aqR$][7FN3 `Ђڳ-Uyas#-M{lnY>Ɋ )1Gta9&qsRTQ)+ߴ#C$ӠމgKPo1.D{+Cj$>)`@ǥ$n@ps.|_30"y,y)-\X/(Dv˝ؠD)AUݮ[C~MTӳJn/"5?栐7Uy;\6.+W@WMm$1\rm2vhÐ>ްO ͙e3)}o͹D7-Ɗ 9Nv;hW2αd0\3ÃHrOu%^9]6ڮ$|}]qf 獑#t:jτԦ/KϙI]*9ry~oN??9NL]G56Rd7)tU`5 ѲAFq=w>Bu[rwmςePkJw~?{MwKn/skv/GpڪC‹mvWsZzgcOua=o lu^N,,P@yӪ?|v άg`)Zg>y >8}k46xG@;P SOE^iy5CǚJ@8UtF>>^  }Ǣ jY|v+G`UJ6 6Jn~ >;G^F EV vQt>NэhaWlzƸdLkؖ՚qtF"?},rsP.u\78<\*Co{炗hBoogƾ?a98uHDǘ#. 9)*cM߻_`3Y\i~oJJǧ?ދfHE$otjfbj@g83x,][ע_vW#'[y~+?xzvt]ί}?>V[,;x;xY lW_|~zǧOӲ?>}Nh~ӥ5ݠvyRowrF[yw.wz;Eh@n8/;T齶C?k-`er:egM x7FWzܒhn˩ˊ9ǽ(z:CAz53InGG˚PXGa232>0C=kϺS ]sjQbVmeܷjshIq;W3p0[TH~xG"%'ڱҾmsM!WɅks04umA6lamc'#g6z-ZnXgm>-!mnR4Fp˾23*oSNڍVr[1ݳ~(4՝X|z&kE(%F*>!HyG(5F~F8b@ulS} yK 1F^!]܁NwLt4!#@9S Q_Gy]2Lw(EPk5' +|CX &4ceƳ5w GHH~O;!J^xjMq7oUB̯jbH9ϒ: Ni Ց&A[+#H03Hh>8e,vBg̓-+9{ ApX2ƏVwSu5/=Х~8.Kv]{]}M /7ȁH_!{`;H7Y֧Txz O ˊ!x>l@8%Zn<E'I1FVx-noί%~W㣧4D_3]V@2TJܬ/-`;"`zj>o?m+\m/N{?hZeo~{v|`{tw2>?/~p?u?A:"==x7p /AVA­r3)|ǧo+MKUw%gr!;ѓ+SyjNÃ6=NvW_~6y뭷WtVzF҄cN.oTӗƈ~.pUR #FZo94FIR"FG-" #( f-гE]L!$2D84W[?R=2KbRx{Bchbsҹ!B9ĐƬ '5uweN҆'[[/`~fٶzIEz6!,gș?)B8r2%qCFPD.j81"-FٺVє(5,ޑ!Eaį[M6'b9ms+06wۣ͐W}2F pCttȵ`d9g;ǕzUE'g$^Gzߡwi Oa?\z/=3>%zU_?}ġ3d՞Cfw1v~ѭp@i~KA E{.0NC[᳟>(a1LR[ikKUs&p4gr#]u%L(;x}/'}Oqjn?;v(ϿJo:qO[䰝eSM%9=~z-{pѧ??=Y'?=}?8ʖn[ڞ,di>! wOGIf g}S﷤AWa5g?2oU _YUX-H +VgL%p#_sOEs<:RAn.gE4BaE K̤ o~&!=MB A nΣQ4k2bTYό5tcw]޵eD"Us@4w>5븻d*~(<#3R0ĉ`@?!_@5[P 3,:q\%/88P? .']Z#!,]L{s޶xXCȠ0#t7? ^Ny4y˛S eQ1ǻq@g1#mGȞzEx)).;g6odL ыe ãNT!vX !6\QMp WA:i)rOOIH3jl^_.oeJց>X*:*Teƭd f!#C0 qdиkwHFI^aeKuN!SbLx*\Ny>G8bjvެg0 ]11O?yx%!اɰL^r.Ë>?{캟7CϿirt{a+t'逞ӧ`7r] Zok^C[fo'TS|vc_|FSFq?Nksy >qz톭Kۃjkt~AqՁeѺ.멪uw{z8}vqf>xݿ;[xO?GG_$wۗtS{ 8`wWǟzpӻ鴶Ipb;L,Éd^5tpӕ|}(Y\ )po\Xy. jd= k77lc6IP`PR:p3K?@_7ǐ ml袮@Aoz!ᱜJڒ4MQdu?Ͱ MAEy0_  E22Ho+N(NJdjzQ3"8 wsp5ih8-FEo%W"6HɟOX:΋ #K% L[ܱ U@1iu՞"C`$l) 馧M!v/N2wH"5p)cԨ'5)Ee0Ezwi ZO~ak[#O<9L HQ4uTehxSpågyzV`tugGԱe88m- 8.VY<96?0g{K~1D_iP'x+՟eUkM.«O)t8kL[  E _ކu8 瀔mpunu:ovHcp)Y$܋V{"W42p1q '\xOJzNK0sfM志}cY}i~ m:Ѿ2M)+d<*mel-/^E_PHt=׳="|lSˉoW] cUz[ h?[ݫ<tp̹qZh>Hßq1^țϜ8NsیFGqe+`Z*Z" [8"nBqcfBfm2:x 0(b/ tZ AoY@Hxk"歷uUQ<=E Yn9[}ԉ酸-?#n*"EAS×5)2 R3p1/*ʻ)P䌝 ([nD>}N ȝx􄚇8AEchf΁[d')ˮ997@a.m`'Pb)~P)ėZ6W.\c[[OWMU[oi?dr?Z2ię3~#_'| - gNi#iFͻ"o|s⌤20uDyJr-;q9v"=huyKe<޻В[At ϗ Z' |tdWOV}!enP6[zu~:}η?_~R>}YõON_6)y/'zmMMA\p a14@Cw`*B#>L  C6{(1m 0pjӉq#!s@jܥp4"biR -SbBP=Mͺ͓ e]m3u+*%$RܢY`YZ>SLɐ^gȂIXs!tkc{1iyK(ն9LweUL(+B(q<*5ǗG)E{壘[QkYI[_GQq $@EuBw.jIasʦt‡,Qt>=^CiFͼv8!B~SM- ϖ^Z`Jvֆ.JF7FaQpezF!!zx h5|৷V1M_ElC|xٵ㠦UG-9$[^h0/z$s9|:Ϣ'Cy6IV~ONdCn}zyʰ?N>ÚKZ^cs_EO Nmr~K.m<2! = _ NY\ꥻY0OYPLb|J;gW/ ߖҎ\+kIf(ѣe iD^DOk?bUC^VkgaZ0@Gv-P*qc8.xm>>*u-~kx tm?K,kx.315я}*@ NuYΎAWa{;Q%a jS&ELz8[Rj&@ЛK١V2Rmvj'7g-hN&}Xg (=dԉhENDύo,)XJrf[fςZ oOYXA~݋/g)(w8s8__)D?{Bj<+ҊkP TCFdtxi9uA/6"pkJdt0`6vbkk=8ekv/eK堰Qz;=)Nol_ ~{B]S^2=-;^m;}w{{|{,+!ŦL(9.(f Rjpگ:,}SR-ZIa깆@ JDg{&$ y=GW:<6/T U;9Nj4^I5RL1"=Q/KPVG8<E*mizC*@Kۃyx;/: +cJk)Ĺ'jϢ"޹ݼm>wN]ld\ Ɨo0΄ʃF0^ GZ_cb>AE_GH#m~Kޭ;x}H3dWȴB> 1~?ꡠC}otOtDqc/E~ FQhEP# )p!bwf6#NcRz)غy=VK#J)NfЛr -|0UædY*w?c"[-x⮚?b#3[c89I1u,xW"3Mnю>@)GC1ceD"A=0(JB#[L=5Ũ S~k,X@x. ݗyL}Ya ` :Ed){ZAR3zEfcn: j8A%(:RGc,o8*;Oo/9I5>P% H(:OTwA-#77>Y di X)dr:mXFSe`sx'~ RTqt\88 /F'0HݦlJe- BS VF||)[!dJ%mohY>)z3w^=qϮ>.}ueN7N$dW~_QC.ΟY_u~+Э6>ȸ{鳟U Pako2ec%QI]aنC}qaccJY.0l@JanSӅAbh[JB1PL̗*HV8 x<0d b@Fxho1B{+ ɇ~|ק5ш da;Oȩh{.04E̥EDKD0| v1XwGVS6(ÓbmqIoszu%ȱAV9!mփvYrTujC z&ü`UI=,_D/u`N-PD M:0`}NXʭm$cv d,d`/Isp=ZraN&5? 32BP9 e Jf@>WsFOj'=OrY F9)8/5(5ULXwgeP3x<L0+9;'@o] $j~Fn=g8^ %B H7K2j *>X\f@xBPÍwZrڗE T'`S̔=: آse hhfSU9| re^pibirly]M&H28^sKr` fK> 12~!g]ENS3Ӛ9(:LDslkX 0p8J4D{s>֬/$[Th8)Z@L{05=UPtF p!k񑈿Ǎ xC+v,4޹LȲ L7J^o7WIFL$AͩɎ:A>/ޱ*‘yeгer/ڧY)ƭK bd[QsS ev&|ٗ{[ttν۶O~mT FF'T] sU&<<.Ə-o #Cj? XTP<ϑzfUO$^Vg^2X~ɫ%%}YV܋ݣ&YU>[S 9Rm7?oJxy)(5 %9Adcf I["g'<3bMg?aBJ`"ߊQWr3/ 3XY۴N}ՈӴoUksC̛^Ympv@ WD'M7\xFϣgMsk"zev-8UdQUg6E2+mB>Ԙ\QJyvϾ{U6C )Zbbښm|QhqxJ Ny DeSS4B47=)Q2ݟrwGP6P±=ïu6;xP51\ 7VITNPmhُ1.`cѿQ}x67>޽ pl/qdD2 l4߯L jөD;%\W#9@x8h/ M'4cdB|S;~Pǁܽ״D5^ʿ[vʐ.8m\n[ȰE5Jr2Ѣ7j42FxB^[.e뷖߮wVF{pfs;Gd56]@ϥ].:xZn#*aUεitdzW/EǕ N-Oќ c:$َ7M\՗Վ=jK_׾=H.+VU=~?={WtTq5Pʊ p%|_vuG%! &o1ۨeժf 8mو TN;Ԕ{)&^^=ys΢XSWlh`8[aX&"gȋIL;Ŏd dv{|챵U^خH ,]]C3T Qb#E}ޅ罟] p4f/PG2&y1Ν!?Tq~NJ5&^U[k0ٷA!tu5\R㋎x ӭ'j(`p, 2qj3;Ⓩ[Ed@jԕ (ME"hhޔ_Qxԅ$ b/dSb@d)+y6.a1؆% +u@Fr31g<0YmxsDb=N3bn;`e̍Zm_)&|Yo`V@WaeP@zhFL1.?$-Mr*1"Tea#>!Þ[UV%q=65Ǧóˤ)ۊ??c=38rbAJsUтST0E›}e'^Jĵs@ݫ6%=: /!1Et; ƥzJull(: ?2%X!\nS1/y=_$ZsΞKN[?jؔɘԟh?E\V`ثw`JT1E득*E zJS(ܙl? S\*ϐ5$o:A!&7\ 2ZRdZ@4p~}#z4cֆ0)%8?gH!gCF96zsS gjSM)$ksJWQ e.AJM9E;8'N4AA2"0-E~ǻ)fs ZFv4g;[F;:Xj3w6^{,K'R/ ?;AUJ}tabj8S|@ĿO 8d4<\;px o ':@lLfûܻ[I.e W=cg&CaN )5] RXsշ͉kف<A4[{ߪNnVGs/@ :i놬(te/y]eS^-Lܗ9>@@IDATkrr~yU6"c_>+4G9+s$/n]==L<)u-yOZ7lJٮ}L1 XC:Oa(>dE5>F3ײRRg ?Fhמn.\*{bЛqƎ|פYP7H"b/o~]BcloYhq'9t4[z@>Q4`΂Ǵ96OrL;6˨`VwМ-xaPcF> |Q?uE]1YcL_Hh@r/Gt"JbRrчKNd-9ˁpG6A8)6g${=/ ax;xӵJSSQOqƶ|"/N 8s&p s\;1g`Ѹݚgv0,tV:"; O 7=fF輨w]M'N'$p@x}cK#zF5+gzFF?Ϧ{Y+ ?`&5&%n29`s~^pH&. |g{0$E/lɒM@%(#Ǣ -W;~vу$>Krw$pJ q ܃Lյh_xhl\Cp8$b/U)%~l.)OсhnGQFYi"lmRj~';Ez[ڵc3:| K6~b`&2ekjxJH"Dľ Ǐ²tFzetp|lq Q69Xdqԗ3~Lobư颰D9vNC.RjSp˷DϨpB1y#Dz3\$Xd -]iH ТEc@>K"[)MsE#~81/<{'W"@8.UK,'Eé |:/AwQRMHZ] 9Sl8p&E˹Cxl[L!)nu2d 7 NGdNLYUXc4KEyx(- [<\ •K⋮>hglB٭3{tba,EmUBE=V4[J=Mo k:^4k&BH 'A+m9u`[oi>Ds xu0_-J'/s؂yտ]I%[44n,ݑ6͡kKRba2ikP4|SLx/zdϋ 9 C4)I\ϋf-ǗSXFds<$a)3EJ,Dudd[/F=3/Oirj]0ӓL9({SFK`2Z-Y3pMjS(Ë,줄Q߯U_|qp1"#3OZ +:-qF#j7:AjD!\s72lO7hi4Sg+)@C/eabNK?yL%xdeRK]]2Ywm : 2M;\.ښ!Ly#2xjo\im-نrђ<˼"Rtl-CL7Z|^8ʡHXӥ; Ӧ~WNЎεxeݸo4nJ)}&ou,Hj$D /C z}JLWnDޱf|zVØ4{0Эg0AD~)M$u쾹$ m+1E.|34gi(K:!fh}ԛpP)*HIo.dAAHņqr,ux8|E׏*-cp`RbxVN!ohx@ݱ.8jc|,!Wg<,m ܽp/ e#8lqUMS "_ů/'c %PvЊQt Ofl>!Kϕ(w,) -\E|$9`R*{s$zSZ7V_H;Me4ZO_sBȲ sb{'BYFƶozg23 t6FfYfW1:[qe\qt+<%@67 Ox Y^ 쌑ap3Ƿy<̣k ~t{-˞ïj䛣҃ 292spC0qO` M gYO?;o~/~qoҝכ7>n2YP{8&ZT[=ک/㿌aّ+eݜꎚ _P)Hz1!LȄxHR;%brkQ͙Vz5K*-"4Z&ђ&i< UnԬ4sUߋ H'Nm6IҀ%s30e1R?ݵD"e:PZi;!>Q"w* \l+>d*<$f0cy=kw 9#~+B*kkJ BݎNIpw^_Կ4RHpjq&v"'& <xhF s2 v_Q\o^~uޑ^ȑYyRiL%iYF6~Xe7˜4唿76gj q":rE ^M!26PqGm5A gH2>8ϟ7|Vf4.̐%2wKM?8h䫌}_4%ay$2!yS ےF nX;aaBx$͙vm+?F j3Yna{8ѰΑXqxNM[΢E)pgLhL{,tJVzsTaӴ * x3eF} 8Vi7E/ 4(q !T=7. pm|)c8|t=9DQa8"jY*92 qz j}6Pn&pb?:Eq2yxI˲F~84YftK\i^_!n T `_+bM ^;qWlO[}n0辬ӛ3dj$9(7vN&c(јO?b ֦0MOOP7t$ֵ;'læ% 㹦9EɈ TQrrBpLGK(e1{SKyr6*Ne$ki%8WK];?<˺%CRWx ~bJ3KمhQO*hUi- Nq֙S) c YKq</!.Fd`[ci:"~'sWp}ѡGJͩҘ@ sePzL>UeSM>{Nw^h ?5C9F2EB NXQ(*k%:{رit3ae)8d)> Vz/QfLqE)$pQ. M[D9Z90ڣ JTzf@oa#|uS6) r\r .RZ" b噾Z4=+rQFK֗eQn=n~9\Rh3=0pyt E^ ogG#^FSLq_/(ɩ,etc[^R$f$7fTz~d|ȱn–WZw&YNQREvYo1j4*Nul3q6h ,(L&@}5[Et͍ Mz+"iC]{ǿ,(B|?П:X 0>FT\T#BKW{}YNd;zZ?1=3UsFQRm i}^66Ȳ4ý)Z0g 1O@C}cEz]m.c\ 8k팯sʠM=FB}0w>h%*#"yA N)^{tiЮh<EWZeN!EF`?etþ~-.K؛)o֯Y͡8g?lN2OO.ookz ܦ )z/[-a4Hb<^╌ڕ 3o ߬g7 iMED7v~C01NDߞ eb!ljn 3Ǿb^`ǘTNO/Q#W_s$/c kg-Qt`dKjۼRRV ȩڀ"SG,G6|.]=|̀^HũIrkAaў?oyW S7^ǖy'„;Hb(|Ó|dT }9;8iz8>1eI)1ƓZN9L?9V7Zmpy{EØmqQUHuLOpntQpRE)yc>{:Z7l|i1c|4SƩQ}-80)N#`5㊋@ e%V0s <3&#ѧ-VPCOLFf)uWL =O΋dtHy0(D m|1s d|hӴDՙ^05r:lq&ǭH(R {c(P/ea`-rje|nGoVtKar>hɡ6e^/R33Sz! = џ"Hq d{EW᧯3Q6ߠa(K/?FGPF 30h] {XpajI 23#_eu䞞<&=z-@A}>ƶiD Xb.4% "{n d0i磒˳ӯƷ wjG^7}3U?2*k &>awBR-GY2z:6v'|zw~e_k|]91MwiT&y;KY N! M'8ͩnNMNpC"tT ?sEA! GKyR|qW1 F[ZEUm^4zSw;ϪdLhB֝31Qjs'ec>P| R%C wc˚# J%y,DkkFlmȔ\pe=()08&;>Hp(1ͩy!%5뮵cN̗|'[2ⶸF1uP1*[fnxrzԖa;,E<8+f\G8oP3KQcXRTႈ{bR& qxǮ-΀idZ3{uo[YLA%F!\ÃSг E cΗ]2Ə_)6}ޤ{&&jܟx Y9dOEs6eVET*e8(3z=돒7k[D&Bd8IG(* \s5_pKG 닣^"E/twrAoћ`$rMߞ !S.hug?fa߮!DR%plY@CF.v\E"U $l9X!)2E-D93ު<[T{o- Z6Zwr8X3d'ЛJ+O'=;Ж g|_ Sg.ESbGZ]ә5+cE]KcPk{L^١nzC'lT}Շq{ш\q,&oS4ZA".\|]_qVz!Q=?1IOr⓵Kv9ִ~dNm菪c"CWV{y8c:Z2 _!Hԏ6=mFiys` =.fAS,җIh80@ƛI^8Jޘ|?E(y*O!`62c!U+Z8Wy{cHQJS om 7N+lΨB^„dv֞S`W;Ò숢Gi5/G¹`s(?g ,ejӎQR Yv g L&2<>V)V aⰱ-"LNJy?ɿd&bϓa^3PClVxkckl"8C34 ۵P[a}&zvG@&kE@E[= GonX-ro|/_kY|䙾k yr{n͞sEAzѩM`m~]]JIᵾ7ϐY/9ŝd@ٍ@|Pܮ?C@E3P'-|z/xp5-H*N"6x,or*X?1|-FW*2Aj׼Fv|/ 4nǧO>zЮedS2f@CE8E{p|K==~'ƫ7xv[^YnCΆw_;jv$ֽj!h5;A~ɦ:N%\\?R} ٤O-*.cB3I GL蠒dkug ip7"MkcfP3:˨(ABH:,sa51O݁=?Q2st 1CvR+-!0}?|ՅHq,;t[KLA #dv닗{Ѻq*H\~ G`%)㹖1| ޞ !o}*d9' .iЅߍoNd`+ݸ.V5A>Y@jt0EF^ƞ/El>F YbrqL2EݐqV~MȈl2x"Cb3z|GٙKG8=nSs`9TXvQA#/(+WhmexNŧ7O&-c#l+(f@'{6Ej~Yd_a|>4.G]88(߁Ao/lGogvn[-zB7nm~^@p 8wxee?-6(J(D <д(Ȃ =F愍󿇤r&y"-_ ! aA=1``PHe*&`?"YSn.GNn͇Mlt|rUl'%^jeaF^-&!{FX6trQm t|}og>sL' XFTq)R1ӈ2@-Y m cN$P;QZPxڥ9)q] nygZN f6R77fϢ#B'ZHV4 Gԉ{Pj7)F*]UkdžHSh,)ΌĵBZtG1eVD_ʦ!0 vk7EsU,nK/"jjkS= Ѥn"5Y)xv'(jUςi@(YeՈr fҪg9v(asx]tVȞ(@`Wt̥=?S{㍦afM_1kM{@aC_wgd/Gz֘k1S_䶈r{E`q}:? jcеG!c" olN o2b0@7ViPlpkwڪ7g&3n:sjLwzO%;Av[&g]7³Sn۴ 8Ϻ/;ӡ/ ڈ]1cum'LV,Ó7;>p+g}[ w/o|s¯hz쯍Z9ݛۻl5Eµ`Za)h U>_}wp*%; nGϜ1-؝=U3=g>つ2Qyᗗ+RkDQXu(.sFt1|*'=9HvQ)~)P=8ݩu V;:CT*+Hoͧqݪ1p"u`99qyVt͒80FJJ@Ыm{0̂Bƻg#! K@NkޟZYK u1'2+m,Hݩ𪀊"R,/J%9@88G)ԳA̽gJ+|6-YJn?oTAQ={m!jq&™wkr ksE.'S2v;r3֗:E+ q};.LM9Ƨ?nr~8)H0#*#ԳV*0 gHG'jn1^}87>c|vkRr*i،+vu>sӧb]]iNoﮚ_wn:^| 1K-D_r}7h*@wNF яӯW <-m>Ўa=أouq#XQx3z[E':ݒ腦=pPߵ9ڟk3Τy4rDbϪɎ״Y ւ:nѩꜣ[ /Ð- ](v6y{#2|7\o_mk_ƶinvkwZm9-|u' DL:f^b3r9\8nQey{Q^+s DD+ 8bkXr6-=b/xm;r>(ґPD60Js\l [[@} h6-J銚n(j ruQQUOvZc.^<l f`yV#@7H 5QOBmt]ѯoES0ix!MhɊhYB6FJ[dY.AL fpIe9gz6c#0kA$dc3` BX 2Ju#CɈclkG/JGM]JB|"vo `q\tyA/{1׆qNF#X9LQژkӮ_d#/pH<@A^$O?wk+l{έV+gPbhڰ'jvjx&CKl5EYjhio9 sT NMMY-i5UVvK2t7O:[&ir?0g-?hG g|rrxx_b8{=>}~n?y~7=V3r;z[?2Mp}Xl:>`7MJr Su3 gـ&E\Μ-U6 ьfż<خyQKqa{g| 0m 51^wE7I}+9M l&BLdZT%ϋB&;Ԁ㨪N 85T' k|iGLGlx,RG!{7G17AE,w$tY۲4l3T*}g صZP# r> ywF Bݳ'}|/rC+0Dg9J`HыDHߏcVIi (E2qypG9*R I@7Iy{O;A 㼌QS= w(Yߔ2.9d^TFie^eEݧGWO-#3Ϗ4)/wTYrNp/|O߄p7N1&sxOEए%ZeH(|pJ+ZӖ:zfX0RuܐOcTaGz ai| lx' 7ժLaߴI8)wּ4ƮwP?dLϣ;|w~U=M>fWqŃ][`h{{Mf½hcdLa_?|9}fut"n$Y$2 66is[s,V&3$5~{8ptDo4#S;,^ps׶O|,h?ΆڨjE_⼹ErM 7X|ۓEJ}CՏU^3}0?{ mhn5qSDKn~/~sjR(ИL wmo|.qQrc%ZRnǨtgnL㏅'d0(j6P>|H$CHB+ Spvm~RqTIM1Q(/G?V82=IIs>ڞ`(暨pHY?-xx-ybyE0>IО=TŀYR٦7tc9:N: 8Q&㦸d^fpF~'4"#84_B}\s6~9,xP jRS w+~E#xhp,BvDL[ŢT .'2McsLpc(ZFiXI3OKl^Q#`IQd~`QR:"tsk~K}D 3B11Kv }{7B_^.RηWw HRl0WqR1ʫHC02YS;>9iX|IxdBN0^2ʻouHQʮv0Q: WCޑfoe[Ϟa/oFκ@{ဎKC'{N PQP(R*Yy]A}0Hﷶjx]Tp,x #CpBL@mi[ |ao|&gn۳Deo}?֍g&0}uuz^@?^c"\Ih/= d}~l+Sv$izɆaon%C%ѓ:=>7er0P Q=0t59}Za==sr4#~.۲2n6":X:'-LG^` zdЊ^-~NS5K_m>.#upueYn>/n_߾}ޮZ IkA-;Ͷ<>$'t$}_WXRdcΙ!!u'dYd=3 5aoJi- B#3m8G(U܏T1x.|(fٞ RZ6:gA!T 7DG} Z0~2 3{V0yܾ{}+xfӦL9("}aJKRH=ϝAĔ ڵ6NV ^ pڿts#B`}1TOVpLh0ZWNsbUbe!|' YMi+Ϫa nAioڻzM^{N6Inu&u e!,<ʴpeJl{3G\,[R `0@Y<^G'y8@*s Xb.07q(iIu|U&sx}S9 t ƙ)So NKQ.=)Xa xGxv1m[P}z/rFZ_ɦ6cٰX:ɨgϤǠ7:.ڜ #sճ><1?xkJ[7]Cw]7*>l޼c6ĺ.y8zrqpwt]v_x0j@IDATc;bN~ZM8ow>pɆk=GwH_51pߵL0`22&q(֑{h]/ [PMDa,D_iGQ 8R}R,={mKJk%IᒯxV cfF悃@]tyU(2.f2 ̽cnŴ؍e*GG0,=;bz`47y 3X i# O1"` H c>D`{xn5/ޣ)<(Qo;64= ~F3bN_rp=Y~{ irܽ(מBDrmoi6z/fݎZ٩.l.2T[OE=hhY` `WC?~,7 :VG?QO }iYO4 z~S{ٴbɝ X{@:;K_NQ'zjd '̍Dx-}?oT(Up¿7 WZUR9 6xV4 :x'|E+S,LGNpѰZŸ|۔z?|}9Ȇ~+l3]+3ѶWW-GL~FrT'|n'GGq={ՠYp1ɢ? >,zv`P3%b6@|Ŭ)I8DQpU01h{M5MxRaR0)fڹ*j6˰L;0a'~):SgΠޏw-RK  qiVHYSg "h#0EﲴqD&s"Wydmlbf (BF6E8QYk&*a h>8֡5)m[rh|D_ԂEc'>hNu#d~g7#N| >H"dA#.|#;HĴU8F-h%XE:NPT!XƯ,PcCRSNʈwTrނF],p,''h^c/Pc`(# MmaBY͔dDGH^%h{b㘭KdKn{8Ƌf䐢F E4Z pջ4"D)̕,\R41DnVc41=g*Q{ٜ=(iœ3YT4yhF{FߐE*J,@OF/ HRdbwfja .8s*4#}"grwDo3L5Q/ABDq5'4im=ּw]mL !r4z:.{`~Az[87YǾkr4 9qV' ֫R.iS6v^w2{w'h>?xnw:o}F;w:ӮsP)K-J 0t \@Ϛekg4$ }Uys#7Rrhox`Nj;O׺AzhfxKѢk g>Ac8&l#ԟ näddmsdkrefoCҮk4@s_\+ xP[pFJהï `0L\t ~Yьdd>q{FĔ <ٸ擀h|]07=kp]ġg'9x9}vI}l"Ȋ#TdmXv|=o -O䘽W:eHPg .;9Bˁ3OtqLIou͝;E|`x*qp*5+8̯~/m%wtGiinAIKѵNaNW{ Ey.ew,{<2㏪WxR6|އ68HN7()i1n\^Rl?#~hhGBQHWi{->q>l'T~Go/ɎFhupp\WA~f $>\zS\{>ra C@;- Ϥܤ1('ðQp힗zf&ƃIgx`{ǚfSz!b)$a ,sMiMZfeΑ0c:Q Hs 8 j0\{T#DJij`?k "]xw8c23bzAp@vT7WΘgg(A,2X֚y!A9`s購Ѵ ϞH3l2*iNa2Gy 贉~C¤OP4m>f8q>ǽgdg"G}#/pG 13 #"Rgh@A[ Ç1-ՑÞHTßT!Ml)Fκ4@?&5lPӣ­5R@q{bD5ڦ)c1"%a"DS~s0>y--%dD㔦?rFpRkV^كbkO21`x7ټ`h#xP;ketE04Dš-2D=uxLЀ?&&8(wߍў[;r1xח:w2wQ[x,4C V^M VmukoG2;G|gIm_m'7xwgp_GۋGGU 2joY&#hq8EVQ LnzSGTâ5cy#l0k^c/OG6W-ReQbqy"Vafhu yS['R\4{37W/#(EIPfy$O-܌ܢcl`u )@%NqG#R"ùԖnXpܒX׮gB*zzZ:8eLl qR6ν;*G)< cgz8DhSTsyR=V*mݟcq7 TƃO'Ѱ^&B 1f}6h%aihQڠxgy`EnS3ÁR-Z$lGiL'g9>Vړ2~o(軷 s3z | q> Oج o?'^?vgh0-t0 Jg/md@wL6H"O,TtO/7^1Υ/xbp e lx.Di>X`2ޭF 'BW#3n+@[d~µw.OU?.\\T#S68Wkoowu?_}_ؾ{ѽ Got|Q힗?}?*='nO:dIͮGwNm<ZyxK/Zr^L]=ð]`UmD&1IX٢ێ矍߫wxq-5Yw?`;Wħۋ"ڛ(sk gx$8WeZWG8 1GRR= 0-C/b27x >s3mYs++2[ vew/׈77Ӟ8ǠhI+,vy^~;y"OO_ir[6>פmS s7\9?$ѯj)l2(W͋F]r&wrxrb2Rf"Se lˡx^9H9-Rd( &Jّ"3TH`ǡheL91d4'ޕRُT pdyQP9ObR6ydj oό#<f;h/#&s<ñ| x(z\x=][E62DqCp۫} qEiqtGx|@Q6S 'pyGznv ~;FN=`gb9>5:*YFM yrkc gL8=Q#q5LҥaDIcY@DZ:kqd{8zf,hpD!ç×}L'Hvɛ!z`m "70w}VFo<ҭHgn:vnzq3,>(Y8~qqW^23uԉLKiO,5„F)Q1t6yWxGVo,ⵉx*JD"Og1B\jxFbkmحє@"D6 XXZ n[=nwhjI׋)zʨQkE&e\q %/f> 0@i]Džy#̫΍hid2vR aPjB?|8LEEZg{cTdc8,,C1Q6XC;k+~C3x!ZS<"YWq4fL9h7L0NGy3Ѵ (|`D9a%AF5L}Fc_ơ??SAa8؇y%(eZ~ӽ[ 8]2A;(- 4lz~[4kw\'7k?ˢ&F0W)rmuyhщcC\sNFpjj?Jm>D5;,Chb Ie%jJ1k\e(_0{ E@%cM`fK0oil##ø5\t X9`P9wrr0dlsҴgA|D˄هW]?GVR=)oo7_&&'O}vNncP9OR틟~﷾𭜼ۭ;O됞 .[݄ L9<0y >M=n?~0 ZP޾BtÍa~~ϗ v_)t\e+^nzJ㫺%/` g/D⢥=UE/)fxΒ0y%ʌPE@3sx agRDҤPxVϪsD͵Z7A}u"tى)4q3RՐN; 贐gv{`ƥГ Qo >U?z4cu/B2 0ߐAHs ,G3Whds&aA^7G'30'v`łPwEVXHy#: GTv9&3IKvo5(Ik!PPqh8yyنhjemQszo )ǫa'bt]XՐpը8']4P4 L S<XƉp Am^)ޛH>E+C> hp{cAuJ~6j0U^ %BVØ`c[mx_Z(@Oe3_40S}T5ynқǧ@Xzt2+2G5p4xmfZ 8PDQTwp=Yq-xF;Q~СQW3 Z2r”FI4RO%c g,K4e <:fNO4\  ؇1GbI\#hOnoLVv'קyۦ7sRTzl\.['0mpOnkkcLgpnG/hzTpUFnVFveيooo m~y;OK'߾'уmNبM]>*9,wܧ]Nѵ`䰌ny2ȣHaι5?_@+Ϋ78uk;w_ߞ~pD_~+oo?o}a{QN 9M4t όzP-C;BD9{X&@@`d"׻d@ۜ:s3=(J~&R*^"cl/'EsH/57=_5z1% -73;ʙ`}r)q*[1&ʇc(-83zyW{eIh40c`cY0r 8Q cS;e>av);2sҍBS?O8k[=pڜYw/NIFWB6S'1f/jR&i|]4؀RCƮv(^_J&%ڧ";5Gtԡ$FXkȱGK1*m:|>kS4yun(_)u&xc˗(F.wԻ?N0Sߥ9BS&'6Vc0_׃11^ =08Ҧh{7xysg 8Ruk QSA9)(Hr0X_b_w³9-ղ\oo-Gvck1ze jJzY:p6` M^t# { 24ƅpGcNV`tX8 y|f3ݜ1 4ڝMcq:a,~]:,0T.`M{@r6}_eСN}MTdYTP}QSZ-u)ju>)YSROlxç?k>53F<@ ?}~)]u)9>iZq9˧eFez*pr#cvrԘ7eNvw6Q;waM yupo;|}{gsLǏ*%h?mbcQij=O'&C͂XyvOle8|6گk5U~W^SCCV-F9+|`}If1v0\c|G#lm^B7}^]Qc[՝AܢOg$sbA8@%*v&Kƨsܵ@oqVP2m:@ZIJw2LOs*o{'ml&bu$׽C!1<][⼕V +7g~{ْۛonaeB ジǺ8s696Q֏_{&BS_'ۍ2 \o>o>{g—~omc{hY'zOL M0 L7'܍#e?5F$7/0X7 01 NC'ҭ6c$axEfѵC(kI%cbtr͖CWE/]Q!q(voJD_ 81MNવ}Hg,-#Q׮b9Pi/-5H &{7#Gr.(jqyz I?MƠ(FշojGa/:PT ^|LгΜ&P4;mylc DYٚ%3wcš8|1Fg>^U^鞱S1qz"cv b߆po |YQQ؃ }) m)sYOqLoIG[{Ɵ=cps*urh˚.]i<2AƱ٧ q1%<dd2/WqRUv^{exLil+C)`+ ]xd@6bv} Nkxx&>1N-˸1*3!7@4e@рD,_Y@^kĴ3 Ch/q-N8Lq~{fe-{z ~doX;Eljqbh9SNZ)(=.Ddiz::N6{kw }W89N{xB=gKQ}W\w./Z{A&ûE|"M~8 Oƶ=?97ddKsGrן ,>-V=έp[ 9-whGѻqT_!;s@# >UOc3q2GpF5=|d W?6?5!n^,' WX4Qf8_7z*Kԕ3 g!, jZܶŤD`]c(JEp/"{ (WY,s!C59PPnQ!G'S:%od*[j yqD3VS5efIX]xd-$3=SՃ-gvËOf'_p /Q­ UI{_/yYd1g 'D9EA{M(80SI9(b y\И{-ܭqμOh} w*<}>"|N=6)fOxB͌&+=`dt8+hmETJ0&Hnp$&#SJt)c26f0E}m0 G( v ็91:SU _]F37%t;-pxTЅ?%B}[! xGz;ΎSTEg"$D6VNК&2=8bl{"p;E8 p;UFPРX6ڂn>}<4# LME12x.dL ~]dFU#0AX2Wb˙I<5UOzLQ[%C'MZwaO (>n^JKM]^erS_P0s1;z?m8Zvm2 Sx?/责wvEpczExw!j`:mFߎs. 4ѭaN~  ̂ n6'i 3'r?^G د:_٫oNϲ-ln+XˬlђuRtܜGZ{R3 Y^Ц7#}1FCk^xÈHyHQasKN[8{'yC<[WO?ߘ}Y'V$JӌY}Y&#DD3xݢ .F-=S<7<{ůHO9zQ[ |at9i50{o^xX%2Tks17=ѧ4Qs-8׵՟"(ov뎂u+̚`߯oGZ&4XOE[ajKi3ueh-Sa~v#T~ 1xvcQLq^%ˊ K-7LoGcz{h,X 9xqO)wXbԚ^um E j  `qNR듙pmd)QȜ]i,;3fNėL%ovw` k.޼ζ%q5)$Cl<|W Gv+I X0TPב/.:156-$.*?oS 1f<. (C2L3XkqWa$OϬt/a6ݍ΃<~ȓcc;#l0?Վ{h40a ?E3mi?G|C=!ȌW;Mc9gwOBԌwN[5n kx R佄f2C3dژvuYhf Aqۍ48[CcW`wv˜%l㽂x먳d8.sp['T8Z2llؕ# P'p?~8^ySx͂7Rwoݞm6t^O^29!2J{3X>xJ6ex>IiuKM}/oMϞ~pnNrv9 Tx=~W* L^m&p͝F@y'}ަm TDyP|VԦw"^9Xĥ *SthJrYe@DC 4ŒtS- jc O2b*ooߏVnFz.(h fƀcDP #yœ*H)Õ1U,S#C (ʁ?͏V)Q~y ܽM1Q$}}?b''uy rm2d1Zc35!7c뿧%˰W 5!9~8 XƓ}j7 &k:bA7_ً9"Y/ F1>HQw^ kK|2++ٵ`e)VMIYq:{5ȥktgYOb:N h9KQSſx՟ɓܩC:\ն!ֈka䂇qѽL_}{e%E%]2AC0tU[S Z[Qcn<|(њ[pn5\{vj.wnUɑ)yLQp':^L^gIbT"v0=p̀9 ]8GǷ+*dׯqǟdцD6X) 5uےî;3 ,"07+{__t'~B#]w`3[?UW gDk_S,x1lUS3*[GBN /[Pqß*жϞhY`ϧ׾=_ 61ruH⶞@N*X_#RbPYϜ"87{%ke=B.Y΃cgw=#K[cq1Wd6fN3gzOwp_ M?"iXd:egN%,D30_ټ{}q֡-E)+<{ԹS9-..{.+cz_@%!/z!nL;S\:甈DmS р&Yo̱K>ߵx p߂)3c,d^: D/F$~υ3nL21O~^xl{ۃ{?z7]k`DpZϔyZ{`RuS_WF/7܅wc>KcJypKߞ}:=qZFovjz8mY^Amˎmb*L9F4;ÏηOv#X莙Jn.k{Nw3.u 2 D7z@*¯S^QSs "+H8;u6{=Oi4wUhy)/B'Po?e3T]8#'Rj$ p 2!i:"븟OSO$@H>C᳜ =Z(7uԳHQ_]b3U;2"p&,yjmf2Hao+;u}1FQ=|`+c/UY`%Lv ׹m9cQbBL3]bA|I0}5*-ʅ@UC`$r?~$z8^U ѤhlD(y ōl2e" N[4IXq?R[ɘ^zc݉ng-w f##BInQ^b` r9/+&3#hR0v4+zWN6p0cOg1~vܒxpحt \id}ꂠ >&һ9:hʴ}@hZb}v1sI5@zr}Yx)&`}&=OGDyz[MAYEl頷@1){Ҋ[0c%rrBoMNGّ? C>OَҴ!*qhʿ]vV Ydl\5?+GozЦh8m$:Ј6"iU -ͻjX$y!fTYHWZFǍ!2vxT Dg6mdNscRч:/my)ݜ>IFtt9Q[ ġzy06A(d ݶ>,-\#+2  n0Ơ2f/<%H)oCSt#ErQ5yy B}UA89#g HўqmIWFof6 :ئst2(ΣB ]gsv]N1Ûexh&ܹ5p!'fa %eZaiRtg5 ,0`x_(-~"_ DvoCJXAX zhFF7m{Yh3Z_ ~kc8'CoIi*+v  l(-d@ dx}7e&ƩW[l0 i%3'q،M .BL0Ơedb(`xjȽnw9U;@& M>(eʹq==gʑ3,h'1\/1~녾Kz۱ EMu cj[Fꓘv7aep@dgym8ˈ@CVVõ6:S3Y[pi?&cWѡ3nO2zoa]\+Ģ3'_qTu8pg\'̞LXfǸ}ν}& |qx?ԏMWkyL>`vYY<r$0t,oWO3}¬ ،wA՗Fydط]qXkϻr-21o斏a&a?PRi'xoY<٪6b@k.x".e1p^ DZiEߍe".򙥒1`ܚ?K.R^{[ˤ_ݎ^]>jRCp p%8/M,Q6Apb6 pqOzfEag?9õgHLe1 `ݰxk/x2j@y<) wXN+t{ޣҔ3Ξ^}3 b@㺞'P[ =# ғYFۅKW2)>6'a2;}7m"H=1~d|{W5`#;n*dSSEɖ3˫qHN wa)d\IX) M(~pG}w/= J?钘 Y}_g8w@~.I,i:_ѿq܊"^./(/c3檖&M)Rbƈ 0"tDT+1/w,é!,uջjgu?f21i mUJj>f>ыeL`@w8Dy-^N]7Ĥ67썾_79= *FT $ƌyཥ_#u[0|՞66q(L,U|rpQ@/齻e*V<I 剆{=UgEp(teh1cCc$QFJ qe4unB6J;*''QO8Ę }7#Mi }޶rtxS.nʫ{.-zn^d`][MEO/ wpj@S S 9mI:̛Icj;o);M}w?8}(X[yCDE ]Z<͑pmtVya7tA,0˜l3uO)*S֠ed!nA ^NMWh<pu@ϧ?.[4pݒE|t ?Հ* 6Uli@1d Bq {]'\JIU;|#eQ6SۭU~Y-6iC9.XbHֈޯ_a}`CQV D*qPHr 2P"}ۊޔ(^dG*WhcQ +:Q '~2 SIyY}UZYm֑Dmw&v/8gBdϘUh"9Mf uLV(7 r\W9[vUeLEi;m'yjZHI١t s2EM(pQ1lmRnXsTCД.m#Y[42!FO>*A;} >۴bd^.Ȏ=)r G⫩ݫڦL.;X =S3vx.z<ڈtH䊅X2vAh(Uǯh#m,ӳ5_mw${gD>}׿$pXwF`s>?ӧ~k=pz˴ȍ"G_zo>6D,4(?so 8  kIy6YF<S7ƝTr ڡv\Rc q/aby=83$D"C[IK.jzA*.L-ד2L*Eu ,py#|pPgti)_XcNK0r8g7~^}8~=NLUmp<{}G1uz pPm5 {kN[hxyƶrx<i<`y?BpU aûhwyy)N2P.=Msf(s'wΖao2zqyxz_jr^{wE?&%}o z...*d|ds.q74kٟƝshxWV_Gc߁s@N/jGj.?֮ /9 Xy?=|"i+`w_*$㙇1'l𜾆2% 0{slbX~G!*}*eY} ʼ򄢣[ ys ?23r8m3^8=o߉?Cz=7ؘ~b*t Ƽ\6WI@/}&A%=iՇO=}䓏Ih*mf >ӟ|!@+)VQ;j_HH&[vhR+.[Mv>@FVv~8)MmIB5ÈH<oŠ"7ݾj*Gۯ4 &ZT]WhKkA4H`9ҠM"``>> ) EkMSE,вmg9P΃F`el4fv{,Jm>cb7 ; !p㷖xpγ>|^gie_(yx~/5 Pf];AQSK:M6YZ*6mByԔ"N/Y c`T"8`t".ިhy;mО#.D\xflHl߁gĖ厝ܲ6q&چWKe~i4M\H5^p>0f.ԑҫ.쳧96q,7&8] 1"zQ_♪pу)e1nUQx;Ct'EEXNDD8ťO Lq`ID?slu*p–xz}W㡄W/QDy%#ʒP8#Yp]x'1" F%ܽn2΢`=pb~%_L,E-oxB)Αy#ԯmewm2vjAJ휃zi Arg`F8,V\WkG/FAmo^|wE߷v8/]xR7[aQ?Z5&nUR0&")kzO9QK[5zhv_8+2 go-=dP[sT5y32@Y')es=4#)us*`9V:(6x_;Jz4GeV!J0}^-Nǁ>k]=G O Ͼ~?mJpۏr\Exȹ }pe_[@ l`]G;kOo]=~*]#o>32i6@"px( ~#,clXr˂R[z5,icM1}&eX8'y- $87F!؛?N?~[ eLxt?2eh4zW"AR)Ӽws01D h #6;TYU%<'J!#\Ǽ6(YCTBw]5 *#xs0(pZλ&z@EK3Q8}ںQi%N9 P‹PƭBtgY6^+,|@AiE8~0WW#ڂom s[wVFDΔl lE U1TtfBI(;mHID iu SzE7TMlj!Ј QUO\!iw3 DYdBGlH{ЈgADVh/i-4kT!'2g;㎇11c WqP8 qw!2:!'u0>i_#{sm0 >z>K@m&)Y=/2Vc O4mdFUka=FWn)VeWa%u6n2ȁ+axl3E+W9tvBpSGw!"b0&w˴|t6pWzRsλt?}*~8 25>ړ]Nhr0P;o¯,3?ΰ<T'XklOX 7>fZF+,lz*jg krp 2x+rƫUhC&YXɠg8+ذIvT%iVCʏ/0*Tx.|Bm `;}YPOǖ[[\U+mMgJ?SXRoou Ĥm[dXL xb,qm F8)A  wx؄MQ.R ^{^~_fEfwp05M1k| ̷d/^?2 vxvޑJ͜brg,܅Ϥ2 M#37 7 3Κ c4)j*"}ۦi[D19Sgt1RAeu#D7[z=R۽QNRu.~kjJ+7j6lIXϱ { {5e NیV3srFy*I`JV{Jρ xR4a|qnѣ{1 wX>I/R.c_۹1> XiHF@6pHNt7>C8w-oT=v%$S\ Mc? 2 +}+.^ܔU1"EtC44^UtKtow-EMCP*(jU(3 .P1=~bl7j n<[z?9!#vWl}ՁOco>{|c`Z#>sZ OmBd-'lW3}C>`.y`h`UpHb#p1%^:>( >N-@ѻ-44Bp7Yޖ׋Z"CRV3L 6[ j m|mF13ҾꠑpҘ[4}gDS{ nQupvp%.^^[^׏څ8Ds&*iH~*T`3ҢeZV7B?7mo?L)chCJ-[ٴeh2,8' ؚ5=L0JS2<^삩CrR&XfZkvQ*>85<^r\qV+xT)"2&͵  Y-s>z45#@)+>cU}P'(;PW![8x1/k1F}0~)Cm{dSj^‘UvdfŸ:9ݚZ"w~ݜM7jzÖRj ͦ9({#oXXD`ߏvGeٱI9\>٧AފHFCtCǹ15o^+o8 [߮X.l ˱Cd-N#>Y %,_9p )h5ǧGէ vN}% ~Yum zei\lc.8n*~.G]B/VU34x5a1]s ^gszGfk:oΎ7/|?~ч&o7U:`6f<)7p)ҍu,L){D߷,- c1Ct *|9R7Rl"b)[cn=z`ߎx9WsMP.rNƑ9;F|6yF\yH,pD4>7ڡR2<~Czc֕we0 uOB$&l"JM4\WN{؈mqܾ+ʳYgXvY $o)y-0>1\|W>3_XY]<8Ȇ`|ڲJKi3%('KA@9<+R 8}C Jڦ(9 P[ o쌃j-Wcsphˁ]dڝQ] U ol8N÷fͦʬR`ln2:.c-5߬ ]Po5/3%}o]AmixxXrQe0\uϿ/E@q%b\ 8ԐƻFwSz)-\BaOj1vi;n Cy1'jLQQs9*,`]Px\]r`?z.hk#WƳCF 6`,!txkmWyzG9Ce2> hDץ}NG8i3NT?{gg%/yA#&_T;E8id̐voʞXj\k?BbV9HC.~_g7#LA>ׇ˸ <诞j[] [?}^#ct]bsC^cAԥ`a<{oDMلdqZ(A?_;ډ/6O/t3(%3l,EuFiwu ˏcpbeT ClӶ'K;/f">U)?RbMf8ѻz`8Z1s}dp,b{)n`JAFmBQ9-?9#DyzA)yNp AKۿz ҕ) IҔ7.XS^6Y/q,8@ 4ed`ZBӘX\mI^)ҘQ4Et "Úޔ;%a8~IrH>G1]Ď! KW 1 &8mJxelqEbif<4`"ۑ厇ώ0z6!o+lNԜ;.Sspj-q>=CR~j9r*9~LSov͑}dkug1lr w [RI[~3@ݏ$&NhqcPCMk/_@ ?.ݳvS=~MrF[]ȶz977DR＋GtD8#4*/#e#׆M+*edasoi`@%eƏiB?FHqw.k4O婻ʝi'g`0YnyF(^ I쵅6۴zݻ 7)>+~f#811e'iᠽHGZFDs+pǮ4t萍 6s@ڨQLN?=h>jeA]z195.Y2:.EH?ke$BmY# 6?{z񇧗9Wm~lj!vz9wEy_Bgbw)Ҙ# 1 hoi_ڂ7"N&~Fb{c}nzWO KKY#]Ԉl )#J" E3 CS cG2TD7k`"{7W1:R|᥌S4E2# B%߾4CJ #TSq'gUJe=/v=l?g(\|R֝ptzg4n0c+hw'bϝ5#rӝ́ɲ7 $(x}3|VPFYȄ)uKhP96Hl-N$.{6b )lӋ i;edӇŃQML7g$AϑIj,8yE=yG'ɭ0,$F,ĵ>ު:LZ|/ڢrzsR8;ߤ~i%?@ S {17"'mk,w!_+ӕȦQN7,N١# BE I N7mjoN1fъns̩xA? {ij ]<6#܌֍/i%mϓ؜4y{ez&DQp_ɶm\=yeBj߁i>UH)ݮ SmC 2l|E΃8zr"#W΀xbnn9==!ʽ.$^gmtz{˥ 9=l?ڽ>1cdP;XPؔa}'UwϒÀ upxU3e{#;ipvb6 ~tS 1GĸvYpɈ>YlWyE9l ?иmF*nvvmxu"u)[s !=uxF=څ?1emEӚU}pi$X,h_ړwg'G({c- !<{Y&(*(-=X$WylD`PLsMʉ `Еy]1pFێ}YuYA'0%Xb˖+ShzH4g}6oy/K֤?k'%{38"SXUc4\H7~@ Y1~ծOCnmp=O]^~ډ|UK2^暮\o_|9giscOsVLc!6=mcvs0ӳmᆃej1_& @IDAT2p^m`QD1߉(m7Eѱe/08慪uUe҂9Êѱ(,[jNaߨ ?g/qDw=oiV ]UZs@Gg Of,>Dj5Qx/k iz,V\ȱg(]lEKߡ4'6b]ub2V}wSa(eC1M ȚqJ՞0p-Wws: kXoY<͉^{hba!`!W=Ѓ,HZ?[ۖ0%6IE=웂~ r5`m>?Y 8|y|ٵ.[Mq0Ҹ` [3l4Ydu&P=Uyqp`n7s_|Spz2ת92n^B!s=h(w\Rc;E~?1O]I6sd6͕q7miYC_:,\%>^7g'Mt:=|~GU'`=#OAUmUOk}[ lEjٶ <;ξ,S,Wً Dݽ/ cwx5?8{ɫ'48'59 h4~ͽ)/k?~9ǖ+r?kqNoڞRLd|"ĞfKrmbXx:@B$oHJ1v2lQ /:ijwk[a6Ů V,X1z~6 TE막(d) .n2кzYUcf`)q`x٘"@TV S`v:?l"D`chbzñe|( Lﳼ˗r ԁ37Ifࣗ޽^u*EH<4QCRr9r924n^0ʙC#z+<1.\)jiqTeZ-m)mXZ3Q_d:rF =OiV>2$9FZ;1qtP", 'tp<ɀ B JR|Xkt"-Mr)yQ7T$9ӵuz+i"JXbe_Lٝ0*/ (WԫW2)ov=/ɖs3%k vq!FǘfߖAA 2xڝLxq-c[v~Ǣ)j[sRv"މez ohY&v;x8/bsDӶYsB$:ݪ z xБ#msMiPH# I9Z꙳q ѹ`W0F{"#N*xZݻDg(P1`RzsɌh15UƂc;gن%'?B@o.Hb ;#@)lGo6%P|υGmi$ؐwe^w26)xƳ<_}J{'#񷇂 wk˶ڽ.fK.;i_~^dU*+#)r)0}cLV=8¾1$h"Vct ^Z xetV GIF`gm[S@w_ſϸ}|>;Qu$ 0y(˻ xDR ՖR Ù!2 V2 wDZT-Jqc|ri>(`V ,:SgJ>~)o]Oɻ= (7"b! JvJgMZyܢIt,T1 p->3ͨlXk5"gO`uX{Ln CL=惆}Qf{7.7IhކSWznJR؞6V"wY)u/b^~ Ȣ.Z w}%nj|d7]#ol]\ 3[( p 0m92HZ57r<7-0+{C_ȔV/Nbh86[#_Ct eeXid™BC\cNSOz՞U&r$(L.zewŞ]Q'6S>RyzP69Ʒ1 Iދ=ɘ>!P1BlZz:S?eÞ}9;OA[مhݷʳ數C̜U ])%ۛ]X ^62*q~ _UD+{̱_dަZ;޼ۊV@t?]s3[En- lV4q2`K 8_cCwbG zҲ9++\Y@1J,PVU/q B;r3ǁˤ+>m\fcőwb=f+="x[Fcbj䭜=-T|g}W ۠_A~Eņ5~APx;XD~LڲGx#;҃9G饠aq1C],lҔK:ۓ:}MAqSƑǒ݅tg.jFMɀuMqdP!N-! 8 ;, վ?}?㧫 Twycc{3U/>&ݿ} >i:$;8Оe^xR&!gj@ 72_<ˀUkB=M¦Z3~饼^h|T>owO=H7 ѻڋΨyWѷRBJ|ÖSzD_HZwH.BINh+#8p͡-=Hyi}s!7 H4"(T!к~vxB10k1h@>/~޼=] >Z Xo#+bQ74gFP QhYkXN5:wo/$2L$9gm^?V{<}et- ׆=?|:9&7>~;`ߍM;>m?^N($lM~l)Y6q$ptw;+wW7ijz?>zKM۝;U%`cW.7EWO_R?O6lWA@ŊW\|ud  S w۳7ٖ˚# =ĈLU>n~x O6rَ/គo| xD]+x8/C&CܫKNYj^rXJ>g mh5j=67`3)9Ĝ j''x]B"-v13Gtb('WUFj²=ќ¸YՐHNBQtqqDLtA`~xY!EwXS9B-_W0r[/[i{p9(/N9*s/3[ 9;z`\bI y-&^U}ࠌ x-Ruչoh)X(؋lģA#ljb-(<cspPt[=Kf7l@S{.ezg^bCP҆,•ȜL XՐ ,3Q)ml@`ɕgM3J3@8dIb%k\mmG)mS[胬#姮GFA:wcſWxvF|y)w}i?>#uPkoRt@2l 'I&)f(#+M{*pXh9ۻ05MEp)F}񼖌!1j5Nj.{gBk4-?q!N Q;RVomE x/\gz!Cb̋Y>^`/UsF? 'mƗrĪc.XUhaki͑O&E*ݥ&wDEv&vsAᬶi)C1 ޮ2 mYϞ!'MNMe8 %ʡ{ޖOg-3Ipd<x隳) VLodGPA[^]_)jg<lֲQ{ٛVNu CޫOgj6* M)8X[6\˟~h;g^_~&b7?s}ˆ_Vx:m?o#L^dXKuR_S(iޭHA='&^R R\3EܷۄgYy=98(L]@wiE!0yU0F%W&](}}ts|yUz?΃jxFE3,q-SZӇPEפ9'[Ϟ-u&bcTF&pe<|N/N~QR GgGAK9h{K=xBC p+䳜} Dz+K9e'3c4cd:w&0- V=@%ST=7*Yջ9gh NRS__Z"1i3r,c!p#K X: d *E䊓!8k;:q~L8K!(GBl {[E4Ag's.ZCvtsmypPFVaieQ~T4F |JhEa7<$n/\Ugb`0c2dM\YќcD ܇e a=ą-;ڡ_V6p45wOrT7}3ӟ5 Uz!w88ق0EN  -_Jر>lNN,0 gK7g>y-!CMU30Om4_| .ۍ6عy4nfګ{㟆.Ӹ.>h %# ,W[VDO?~+#WHoזL Cjҟ;/j\3^|K+zg{qn;qz1^`&Bq5Om {:k=n<,L(C2}_pNE~~h"ݣxyLo+F'ED(.jt 8e*ʘNgḬB^ 蝛gUɖ78Y(`8-NVlh>.`zB&P p7Ͽ_Tg{Kcŀ kA[7"b[]D/KퟥlK=!k?׬hkO7+$^F܋pz#ʃާRֳqK=Y˲(YicQrpMxb sA\]UE:"]#~|^1 !GO](‚#=WS#Զ&102C6#BXWWP;u5C;/-"a(r4b՛9Y 8$uu[)K,!vkͭj4?sh92ceǗEys.} 41EtOR fl4{pR ZL`)<`zF聤1uæ.SoeldfWE# lP3Y_ǫP>YSf86+"8喝W`P㲴$#; GlŃ&@NlmF̓u-8^+)(JomE9^ Ԙ8YT?Bm8) "l aT`S3J)4`j_F k HA~3jNW1}2RcyCcpY=t5zFo\g'4^G6]59tysѥ.4UtNfKsn$n s`H7FY/d6d$y-=EHf$1%tdUWC~|Gx F4ÅglnlNV~8[sb0c7&Y3cx [rm1I`z!!S!Gx{Aw)8!^n틆mA+vc{%9D]Mzv웥͝hC[O~Go~W7~!݃24P'>utuMv 4GhUGYv?G"elY<Է4n\& orx~gODx o^Tc<>}qJ`  A*,mc$׉`f4U#j%>KD)oOl* "m}:n# agyZ J_uҰayqt{م +*zk6!/J=k"H{:a7%$=hg*Ѝ}{SDqX[$B{ d/GMh\Uzyz`ofDR۝(zpЪ㟲h>C%gMM("}U2WDXq Q<& 5-9{\@6]iFV) m$*Bj~sFMMy9 jtKp-%v٦`sH}>t! W] L;uA B `'0+_DNu~638LVs\M8D~]"uV|c0e!NSNxūoKmޭv>fOo81%@&)NsU۵p5yvȚQއE%C&ǀx>̴W8L7%ÛZxһ=Tw{\E2gb g564aHW\\%yq1n}09K뎗Jh<6 uDQ )$;Ǧ π.e'B\6n@#oc]>]EZGDɆhhM-w1⡶_ BO+qG߃ zo23OK/ TͲWp~a2ij[jxWO_xO?|sYDNߦ %P'3flx1RN- yz U3|JiY 0 ?rz}iKS7+w$-ED:o'qYx 1ǎĊFtQT)slByPm1TW [jvF\Ahf=^'%&g`ŒR*E+{ϫ:S6!tvi3o/&0'&\<d5z{ǰv!4 AHh(}&!1K*oo N%tauBxuc>: ^<\j>IDB0фbt_oV9#)Uox -R;ONHpg{+VYsY֛;Rg۳ˑ|ٙUc"Eһ %r/]Z=`F# k"khuLBy~$`U38SCEX(;# =JC=_S.ahG20f,5|5dXf0IP+f=Ϋ@G8\/@kO Lͧ8 !qW{ @e+}1f:c8Ç~a` YAWvu6y0tirb&wAhu~Kt1BpH)i PtKC~uXj~o5wduqp o/: xRg*\BSw-<7AKtd8|ϛܳyga6Ơ:(gGsLYߢ_F(㟮a6 ҳS"]:ǛM67$8;}ǣY@smks87؂Kӄ!ytu?_ß'qHmE5-Qnلmseu?Fmٍ  ur~їc?Mfocxuy&6/xnk9]j?6+l[҆W;OgGӈf~^AG兀M>N{gٸ)jO\p*Ph2dHͼoפJcq-:W2{VjfTVWt[!uAK[_#NO%19P T^(k ּKLKS?|FEO"ݲ"RKYa E񊥋_|hU H.kݜODSxQҾY olmLf (\a)&  % kr MweQaxX(hX7xE Q/ 8ٸn%Nm WBd-dFߜ08kuqR׾Qp/y憻F qd.cuL_1m jxzk#Ͷ׻s6~nM{12j>.pK;ьAsv~&̽&x32!ەt¦_+dw2Ŗb'=`H[^=]Z/" Оh<)jmgЗ0(EG297:G#'ˮYE9Mdӛk ~ ,-ldFxh .C4z﫤*<7]?ڨ ~(y.~L;]+u%ZEae.}Jw'+x"2W9|?ڳ _Wf齞އ蟝>ӧ?NO~P|xh3ҸM^#^!_LS!tZZ9p]vx/~׾QQM]D@lu'~ æ+1&ǭscuz)FՍ "J4Cf@cK077 G}sQ_#\PSLd̬"K;n~TൻSq) .}»D~=MwL4P/ؤq>m%E&*~ؼ~Fs )SW[ n!n ZZo pդJf9҉ &XxeX41cL`#jL+N;Oe"‰,"g+gHygM'>W0d#ʃd>}23Y_ڴ"/^,e<}l<Gl.B-KdswE*Mקt#Y>02g*f9,v~㔶[{XD8*x+eN^%ꉢl)},a8s"n^N0܅"?xm#$r)G<'U$X19:::kA1X@Li0o CmSZx#L. wj20&F%x=Wcծ^},;#$q({7_^)[*FYr fYed p/Sbo"^+8D~Jq?>zS>wLLιϘ?Rpe#CMdYcLIգDekIQo#FAgSo(F xY畨 O8&ktW!M8ƽEK3e4b:Kלg`SI@+ƍt>˧mBt >ݛ"F,؛Y/o`FwL9V "oK`-C,c.'y2Lz8w;FQ~-F2_vv=jD@Ӆ }3}XSGN?_:zY'U`i{J͎x cb6OuF`lgkv6q::ç1Ԙ &/)žUr+8D[..J^mUSb2s>80ۺl{X_RV܋ab 1"U(Arޝ E]_m`Rf~a> eTxi_ȼ=WƂhyy;@@n^p;RuM^s޼mCjp_6 cÙ]yH:MLb/9E2"J Kmì,a鳱*1 /XQv|kd "`rx]5C%WԺF/vr\,ŧjIu1 F6 #5IB}%|& 샩[.} \H9S-TZ?A9~. =LE=\l8"KSJp@H9n mc󃺵v)w.Xo>`+ؒ|Z&R/%O/76d'̰6㇨ / isŕy'79G2P5Eٯ[z_USnwMgrD\DH\ !q.CA\%2QDIHL8mvO5~}UɮZzYZ:u5sJS׼^Џ5ޱ_8zF3O|eOmXϦ\J`:ϛx3ZÿbAKq95?EߵhzED1^hG.O4W"ĝ,Z `4kq+dmjNn  N}M%5 ea Ȳ+ѡ疑 n?0>;4ۭ86m*- ^؟JgsE1i_u^7Y)lfrnzbOFĖ7>/?|͛+b@HG(`ܚx$]=\*Ҵ:Yy@ZHgegj$g 8RHݯykl J=0D>:X _)Y˙+*%f om>oD-6 |:)0}F9vwYZ>vUF%w!f\.s~xto`?շ4bԭn~ӳOd=`^_P$2幬^pEoމ|n]~+[F=ƿڅ`b_.\Եj^-3-q`=`ΨǂÓ@Ui@ֱ͍/v+fw2ԕ Ȗ4.4긨yzgm.!(Wps>4qnҬx[C XVXB׀z|,Pdɔ`-u!eFBEES &_dVvC$mQ.CP1w9'JB=u0e].Ǐ| *Ͽ;gwUDzUROS0L)o7 S6' b1i]KҊ)yN"<{<܄wi"4(_F+p=N|rHtRcv"L ι ̓F0uS)(ڐ>h L͐^2o\rcp2t=~Q_?}xi%Ru2"4wl ˼̨0&=ru01cBNf/5a4EX&a;]*m/Hqm寇OfE17g疍@3qhԌ˦n ]{ D՞M@}ctH)dlV'93q*Su'9cf(( #(tpAB'8t^iWM_r7o<Z'2eVLV"(Me8"rN+^f́")g#`.#V]/G7AݜuިkMKۀC]Gsr4R\"C[{1JsJ?Q|OÞYZ~ˠv>5%phm.Ngǽ ~/|168eF6]6+2Frg4j9OBq@⑭w8 %^_~( əz~ͷeqcsW-s8Ny`#ΊO|PiUEᶺ?'~^vcj|wd+7SPaGz0uP6 L481%bNJtAHQP@lx{cש^K@t-YMT}Cx0'\4)QZRWĒdxE/3xNvCT(mJ&쓎k!w f]4'cLCIN/PvR2ډcc6:*"E4aewQriW=䯪o jvƶ.:*=6ZV?G I+*cn9ؠ o{ge瞜!1F<3@+5AqmmmU(2Ǚ x$t^"x6: e8dD?gNPc&XظqA*xpY8N>O7U~'!#ϑt߲hMK}Y'oS{,ew_ZAj2sS#N}k5)є4.ڛCtOWz 1xuMl~}Nmˊ$ʪYEu]/Vs w4ۭn6[Bx]|2پ,0c; w-wdCEey:D_ИCR!7U+2 y7\Ȫ+G@Ehг< C{$e%@2KَlxnPtKp1v1=O|#)Bz:}igE. hfjY1CȣV藠؛s @п*M"|JVP$L}jvM{ݎW/ZN~< vgR߈-B}Bj'<Ԇ{=OQ}20@tfl5j>N<ٞ؜,[ _Uq)h,G8θ8#c(OR* ul38.8ƣJ1`G7rԃDPp(`Mb?mUq@R!QaЋz39-}Y4E|cMmxYk,[=P kX3* 'dlu > ksY;ooqQ~ܥW2Ksh4fwwO t) Y#:VE^C/諴&ʁ$2d:)5 [YœG*qTabD$Anj`BpӻUb8 ZsA.`궳 UOmG3>T6^[EОn~b }XRV$ġ9"eMCʵȝ3@&<*#0a1-M̈́>s]Na yVkڠG1= M_$7e'2$2ed mlĜ~x+/Nvj`J9۸ȊuomQG("(DDY NMFrI9"}_V kzyB}]79;ZChQі)p}ԦH} ])%J@/%1#:u 0;kH?<1tୢ 2+r0cT{Mr>hA'H8[8?cԯnIsc=EzD[;B/yѷ>a,/8¨tLd)4hzhNMA~%ga/CS"?KP"@ʘ.0$S/SR{ m[m 3wS?dzFzjw2U xbP )*I5LحO|h0pq`%7]pzƷu)+j:gS*g`6;xU}E壎rП6_}?@UP'ȋNWS:e./>$U(s_yLBx7'+ cw]&iKdqģd^-лe,ӆrwPYf w~P^`7NwAfeu&{}O,=~j>O >z#,O|0^?ZXC}|Ļ"1SLKs@1 eˆA b8$Тl.zG*6/"znmy:vHn4ы Ȁдƒ9g1@ae/8I|s»0*81^d(fK?U֟{MKpAQ)EG'D;~.g$9h2s)"F'Nfq+&Vji"hqĎs8ʐpOxA!0f ޕ , 1yt048 ^pZ,ZP8xKFHto{70K +(#M8**4pt]t8=V e0ᜩ8pmE?o7{dVJ8pD/蹸m>2{5x/Q֛hwce6'9O t1ɠSȑƒ2%0+;7xO$ϊڗU cNaO7}}9ӐoJ>}-IoY2UȠϔ+gTO_KoJJ d7i;,68hr!S [ڋz/1L$võ"?8_~:G 癱r{N,N7 S s˖kg ab##"exN{37@Pǫ!{1#r,7!sJ lEY3L^ݛE^( I +DwvZ貥ہd#ѭ/S:^}1Q3ivsn{S*oW=Yt qC?-Ev@]s&9{6 M(h1^lҥ^ٰ>+{8xc,HG;vnj$z=l2|nk^Ykfmp0g ܻW&W~잚ۈ" -9:Tʧ^~?2~^dJ` GuSda=1r/ 魛6*8OcEQNwDqYa3¥0;CB*w_ d)EzY"|ߺ^"2ԔR1+7d\jE.ahD= ?\i/C/] KVS:22{#;7G{!r'䘉Ycq;\YS!t(-qP8Z}TD4+m[,[!S# mO J|s*~ u֟hBY67'mibN i,wka;+A_$d`S(İZ+tBxR$FƼ;oVĠFߡϹ]TUFjV|$Av"h1r+2LO`kzX_[>z&`~$FxESa$nF}qكF6''xZc@~dYy5\뿽`Њ!["[)tL~ڕ7ߗQ{w⹲ݣ̈ȷD~GC2{W9Њਝpď9>'d*STV·Kc+h;o|DJqoh k!WV9%|_y[w{~,3rG1OnejhQMvh3L(o99)6'(Jޒvm P\ᶫ^4h\RB(tL5&{Nj"SWãMX}Ƣ!?šMل?8#ٖm|FWCx_ǎkYoiҥ @Ȏ8T` 6A ` pԘ}OԖԘYيh6>kg/"nDEM6%_ƪښ&^W1"$+t@M}y?c'~23|  :,}Ԏ1G!3l$ޜgT]81 y;2'z8\2Tϑs㧃 0 glaoM!3 ;4=-"iyt~ik[HS h4[c1 ӥ W,1"VO j |qw3^m&#;k550yWa&F~ӝw?;颔Po{|c mf ~_B%5 ن9q؜?)zog I²S4[,ٍЧ^Lq'_"<\o7N-yJ.[ai#!: 5:Sp0eJ^XSt2:ާVJF&)6u ۵W1n#~]pp4ƿue 6x0Yo|&6M֢( =}Aɞڒo|*|Ƈ;S(DW쉂14eR"ܧں":p(E>܋ɮɊs"5xOsN̕ߋXԤqlALap׵dN\[5[K;oy?'XeB2JxG9)<ƊΌz&AJ_oJw,Q_Ik wq`me:hsK祋ҕg=?\YC:G1-DdƂu߷eĸ{[BؽQM;{3Y<֝dGzAnӅ2ſ+h\:^cl7lXDxer( `woX ԏor'_d2(X{ J$kE?AN:$4G9Prn},]mtrK4M ߚ{يu ᬬ?=oǭ4<2L쬮7 /g1R@. 8Qr]Lp_(A8 e|{Ř* 8R7]WMV[["K oUƇJX˳n~w`kTvxN)|%kLſ PۛÄ}R4LE30(kK޻O_/w\d3L\Weo;9-eA[>N^Ev0==Op(VjlbIQ4@(hLi 6hfQG37 "F@+=mO j0gGB3,1ǃj1dlR`j^(Ac$2ea;E&82t޻h[SVʝ敱Irr}œPØa'("1ni\> lZ>ÒA: ypMqq1G VG/K,u®aN)DPRxDnK곱* \`ᕊ Fĝ2f2m:hQGAWj܆Hqł˜`3'<`)cE1húk0Q(4dU\3(@_6nY[ʲ)mMi2#v"t9(*1a_T])ts$l\pN+zT$eƈmJ4G8;#"𓎪)oZm&>G« ѝ7Z8c*){mq*etںiẈ[\cј]pŐGn=K,r`c_wO~uZdIZ*NaOY!wl5PfS"f-/Q%iVg1ݍtJ.aaC 3a #}^]< >'GQ[@M!$M7uleFg27x)U^ v:!g*Z]C$y)jn[z!9x1-;+Sa)˓S{LkP=$Nu=M)YElNP燁JDB I<}m+<z9y"Eyy OgD)9+9*1ig4d8d j0;JgE~gVExdRj2t}&A;==sdٰ+/}GȾm.E E*!cً߻[$Μ:g0Y bMqBSYN"9iC7\p5PyKO~Lt乭n"y4B ~~ :c沆/X&޲>Fy j$H>U_6@cTV"udIB9Ʋqzcv)XpZ=sޣ6's> V .0os瘥X߿NgR!6qth L0eJ8Yd8u82ǸgP\uIpQF G/_OӠ×ڠ{][]#!pV<@hy0[_5pLhY0 Q?AY> })E|wq=Iv(NiҜޕf20K?}>>d7fb*RK 4(38[@^>M=WH:;oVz6"\қju#^igCN"` ? WI,WL`F6G΀kv;DH6wvsʃgػ LHSΨP֝!ؒZI#)!#1bi6][CYFnMMcj,{^<+9-mvf/e7%9&7<,oUJ]{v?zBEQD[Ŵ)0;zi[5*m  &Ύ) ^~CqӐ!" *9~eGQkHy{Qt{8cQ cwگt-RѥV 44+õojqIuR`$EKSS y5~LL8=0߻q@}7FlcE^d@edˌٶ* 6Iż^F;N(D1aڵ>Y fM|M@tMeȿZ9\Ɛ5oe|c_g~ Sg"E1WSp<>#dXY,c$^ANQwd«W#?\v!= dz/>$}4ӈ0Q;ov8 v|@}9oBS4wtϦ em}6 $ $G|̵zFWH;qӻ*a Nǔx΁GC뽸gt×F&adN9q8Ӛ|GsPO%jA[Z@m7~Yp -Yol-S? k_o4xnj߯Se#9u;]z $W+x0^ PݷgK+MMLJpRѰ ̮/CqU|xb*]7N 0ad-WmK[E_AT>wUqüR?4EF9DY){4tx^mCS#&>"cST3}i;6PgY8+JֶOxQ 3N^d|)'c&C%[)Uy;Tvg F)QE^ \TqTe+Fok RRs; kuEmrJzlFF!9/ᝋ(~%pIUr\{tϣ+Ň3zMT쇱!/Ad, ǜD΂bp}\i|kQtm_ـa)jsȂU)Vl7LD Z[?##J䣰`i}/;k\[CXdj{2qh,T0So3d8ߜЀsA_C/ fxmznoCF+}=xh2F|7ݚ ޕM pj梷LP|(6y%U=:hwе xMjȉ}#FnOx: \{p<n}j- Y$Ѝ` 7= gqp>MAg l: RYo9K,W~\$>Brݏ~?92޸As$_)5x;Lٗ%Rt ki콳\lH#4%p'냿^ֵđ#p6ܕ5p~~z/zXjZAѯ_ۧ-u/\Hѱ6[:G>sxʞ0S1$O4gyK onԳ6xyƠt {SyNy[w\IUjbpOZϣw3ֵ@"/Ӝ"4 A?)1G~)e*,|KɈ !p+$@a[BJfE>^*7!vo,MDZ֮> ebD  m׺_V#W0k({S*}5KDvܒcP^j: :)-,6: =byu= ,y)[Czs3e vd۳ڨ^[_23AiE0//#/|jS[Ծ1KB,ü|k=Gvu~^ gtMu|pL]$Fs)hڈ  8,t6 Of4Gv TҖQj213U,9;]ZPn %bߖHx=1(_r _vJ'ُ%Qh_t;/ kՃeZ~-CC<{'[5/8X_ ?1h5qa 3Q>'>~) XEOklFM;c65g:-ʲ2գӯwKp?ג_A߇Dʢs8ْPhȳ M\PV-ؚJ{2Y4Wn›#1Bϐ"FZ5 )Vk"xƘS6 !}5*$CIDAT-xz97v3_jC ƙ/~><<'iˌ;jxR}^ܷGAli^Zԃ颁r_׃͠r40qam*[䘓b}'܋3=Q\/j,o(B F(hhU}Ι:xb{us߾G޾@ڎzB;.ybK7J9\T[fZƢSs E͢]`qz8rnNG}BhPn/n9^#A?; NȳqqV4Zg9"5ǟyV u WӗўcXfwH,`Ep[xTp=R`s6V$q?K_ͱ 4) Ox&zLOwkGm92)ϗً钇B_V#PטnmSR;zkmgAi.jNy{-zcә}k2jn>lڹ$K_g 1/4~p8C~Ce3rF4OL*Jf^%d^hc,wdSR$l-YY}A}Qfw a ([G`T#w,w}ByB{M~ҼH7Fp!}py`ow}P@1_|xQg7,T<:vۋ{~)zdJξ/ʤs*!0Ͳ02 KLN9Uƀj1/D[떼@Fq ( ˢ#8c?} `\FiY0)3 -TF8Ho8’/?{Ef{ERس)l|-3U mJss6C4DzAa"][S'2e3p}OD"@J | VO,b~b`^R|kګpxXʷƈf !p_ Nd7Mo7Ꞩ[R3=m K9Z}MF+FNc ll=DZPAy6'MD#X;ݟtY:0 q_S`R9R8⺨jsϬYmHWSӴ1Ue ݑ _2s Z]$1\]vӹz.L?osՏs 8h i=M.}5SW}-YU1\MhNx ouaHxV.pGe[akaAP}Qq@Xr^jEfeWEw{&I<5m)jCnYvp}c_>O~僦9th BvՊ;{ђM_%C5fZ[-~o9*..R FµhMT?V}g|i[Gs-'踩u(pBilKTݖaJQ(aITccSwWE4!B`Y:%[$DŌT`5[}i]̯oGT)UHJXj7bj?jhҖdPJWB{K>R2ND!BTLJn9j {ly0A.D*m.ݽ](9)eyNm߶aŃ``i 6vCmOc˙ v͒;J:`Neyc5mIϚ߉Qsu- ֥pخ/ ȪHy^Z*0 &Ni b'.FX MQ;y]viuw^4E,o@de^ߌo4 l3`Ls8r$G%\6z ·uRdާȱ_J)jNp/cix ~)o`B/¢á 95_($~Ȱ7ƨC۰Kll`ET4 g }F7A͍b:p 8zNNhNρR(&߹w9yQYCn):E7[V[7w|"AҶ{ZW$ YNJ#1i~y'eaf)(Hm}8 +&h74-/t/6xOU,H+'1&W_|0D԰³Z~:D9q}ˋpvd :*&5wF;r ;!\m3cy`_!+>0tن;Xx2*{-:3 gVҮ";g)i7i}-_{>L2`TmiCO7 t}LYAwp9; K=we}Vv;G_}bte#f33$j8b_dM) 47\@}eW*opU4v~WwMG'їxQa"6xYӟTP)cnt̸b0 {y*G7Ya>") Y!`)_ DCAZO,C@%T!2^f^e^Ɵy'[/?éh:%T'Pj>?k3;)yǧ?S[fx7fM/=x py[|wg=h2F9797^=o9T^ue>ZFjI=ft?;}[hVO ج \ vݭhlǂtUh|-[T_1tJq-J3^yN [Đ!޶u pIٖ!^|P[1х⹔5Xh]nj*0Ys'W1ϓy %(NL5aҭx۔E{6daFTA"{A^&0 <~/[SW툱0\,NaC D4G[ouI&h ]7zod>0aɚ<*Cn6\wS%8op5_ ]rj3 VGxe(E3nY_ ?F_ˌcat8<u3܃ᏣzB?u#|3Rx2 p`{}NBV˵ΫOϐ4~ջ_[)w54m#k ~R|r<ϣ!C׿8zh87\`!a\X_ 6Q0|r,\(.ޘqRE v@ܑ'p9‚H􃠀c&Ӏ ( L%ޏd>~S(|x %С\vؕlg߯(az&:ծ7noQ-Le)Ew{/Kzܽ9!Smo)H﷜ρ: W.r$,A2xf.j폱يh r΋dF\ {x"P'1TO?޻l\w !?^jѺpiקG(E|JY6眠Ixn<[n =e>V#Qw"y%[ֆp)g)3`pgnUcpj@)2j/0zRtSA_E7_(kG.2?qPxQ0 pS4$8 sQU gBQ|r|e9X [P쐑E$]? z4ڏ|aV 1A] H/Z IF@Q &X]ɆvlrVl~ .|yeb:'Bݦ(Nt dߖH.w c`mI^qXT%Qa7Ǻ*l-vV5;%㣞s6CQ|3}L "RiQ7Zb;:uӋsA>m (榢z&6֘0/8kAۑ´:iwi綿R)K7ѥ"j*lM7=;K#t8j8sj[=g']NN'><~gZaӘ^tdy}Ӄv}X oj0pǓD@~9_=@W(ۍj8!g9!9ȌPR 9JO(|խ9 +q<;#+̠˵/g]1 k|)/ '~'oˎa7y}ϟW6A9V&BER01ݘwQX%E{/lkvsM8HI_xЇ@س<1׭5QSl ˔(zgx&$7o;EZV$J2(˖00G*2lDR,EMX9SV2 2ȑRp\rL[Ѫ4F 1 Rb)pʜ奷!󐝉 «vfx-/T36Y6! Ѥ4E-I^4&b|o]$<?_U,))|p(X;dKCPGdbCmC# FQI8L4!f`eQi3YVD8zo1ۡ2GtKÒ)}cOHgf$el\,\0ֲ@dX58SpQ#2#iioJesB xsSsX6258&Xki^6FobBw2Fxr0=>{ eUCw|Y荞# %Su<Ua%ܢ:ΦQ|S *[$";Ր_|p(+@$gk Cݽy~cF{Mpg-&4RnOwBs#.b?j>'ʨc t0i2vU_MTcKGRɍCrdcREkYMc1a4&_T}8p'~i hWxSN AšqQ4p{&Fd٭.o|QTt:06m%wR4.)S䐜],7FD/ڰɉGEa <]~SrS7G'1'`Q0*է) x__c뙗15#)k ͥ+-Z`&;v|T_o}7#ֵF3G/Rd𠺙%{G` zC2. #０kL(|'%clZpM;KH ,Ga6qlkԭ^q>î >C 8&C+>woNGO'X'?ӟ3=11xiIENDB`ic12/0PNG  IHDR@@iq$iCCPICC Profile8UoT>oR? XGůUS[IJ*$:7鶪O{7@Hkk?<kktq݋m6nƶد-mR;`zv x#=\% oYRڱ#&?>ҹЪn_;j;$}*}+(}'}/LtY"$].9｟%{_a݊]hk5'SN{<_ t jM{-4%TńtY۟R6#v\喊x:'HO3^&0::m,L%3:qVE t]~Iv6Wٯ) |ʸ2]G4(6w‹$"AEv m[D;Vh[}چN|3HS:KtxU'D;77;_"e?Yqxl+ pHYs%%IR$*IDATx5wynWjV,˽5,`{w_{/$ KN kYmbCq$ D~A/gaIS/й&I],$3.hpZC1FhvU7\ U5b[ 7 byuw+;:$1o:gO% _Zk٧ϨՊyuZ}Zwٟ+Ή!C'4ut,:dӑ:ݶ@A:Bb5\GznU^.)ĵ z-ʹkezjՋ8JxxdP  I6c6 +`- AAQV85ժ(H 46n(hrmQBCHDBYO x˘,2!JxiCg2Y6İj;ǻX) cd2" hXpiP7 c?q?UuJd"6 1詏AZJ 8 zڝ/BE0<:At.06AXOS)–Valk[cJ zc<Pl==q,&Gt".ezNm>9U;)%2Lb}Őx2V{=uYЉ-HQ {queVꪃ#T\ChC<-,bH0wM~@YȌϹ#LgR&Zfӑ-rTU'huԭ6Mܠn7DRh$Hg1(\%?=a" Vz"6Īh@T[L Ig/\X^1'x M ~! ;v`Cr-̠##Jg@B]@?~F(2>7mމZvI^ւ Vn B# hOfY\T|Va vGKDi3Mߙ"FEka1XMFb~6k3~gN;=*\"&Z=-.WUƬ1|0(c Dofe5Ȯ 38 J0e; Yr>E%SPbFAmVn1g3`@NG97 Hb_%hS),G,Z1Q 4ddq<3Iw{mіa>]Lpa57rYk(aAb@MwU59(c^cs۸d@t Y&f)>1#\A.ϴq9G\b =r:">P6>ͦ:sv&wXn 8kWo\`DzH.\ !8œO@i$aj()54l%,̂J dFUux=T"](ɛ&?DpY"K4c$ng1HXP6@xL?C-8C2,&5U*2IIZR&*ҭ&jLwkRH)OalYv3h P c3<#imR1#M3kl͖]t@|XnMe_)GJ4&s!\x Cu[h{h 0Ilс^͵uRHS }@UX"2hΕamǛl[6 d^wy9 X=,ʮa, Qn?sȮNh"7M"R.^P~ ,tJ}S&s{T3"vӣ60Q;PO3>(j26KPOKK-Ǚ ˁ૆ D#ichٚXlǀծ>%]H.[yD}`R͡ ˌaQs.P9=DT=1b{@hq7JUAg$<L`Z4~Ak4dðY]Ŵ ~vq3fg۽p( 1R j,5 !!n!c'2z83_9zui%n|j/Ă0s80f-㓠 )%MRYDUa&&=0gq=3!% XL`%2l50&d4ALiNR;y !5[=V΀%Li#b=kvDCڸcXxLT]g-ֶt:za}(1+ƦJ wrc'RlT AU"splj| 4V~FB>k8:3jFRb5W2chE,.~*XҵQI=kRZjõZ),~1}2[B=5ƞ_>S֩ K7gM +Ѡ}Z*A`ukٔ6a&YSǵM5uby4nՇ{qAoBJcH' ])jD>i2NL~cݱw% :%dx0| +B NRw\F Ε::J߱]iU!6ܓISHh2VLM赻bWG@Լj}_/=ٕyW>̓1JzIvj*TiG2O|Š ;ht8`k:K6I*(_Tmg=UHy ~9) _7+ J3bR"T) jޗ'(ⷷnΩG|6( Hx> 'VZi;?:9О?ST|kܧyEpv3n wg}C 43} ƅZ#FFh"d G>A.6HS/H:a)%|QlaPxjjt+m]>Y`[c?B g00MhA|'IimR/;ưƖ&G?cmF"U["% }}VrF_{|MٯݦR{I_Rx`N_N_#~]DkP!q";pv4l,hF Ѽ K}G)" 144׌uڸvڳ^g!Tְ220ڨVU%3VoɣG8d)a)A45?+:s;qϻƔWH3;3;}}+uҿ6eG Z`t>']Y0# tbZm0Vٱp#g4+ĕn>|M7i|L kI@ȃ1,,EmoY[ToC?J^cOoV7 ڝA}:1}繃*.-RPt<39lYa43kjm+*܅ybvoy$^!bHv'L9B'嚚Җw+XڨNס/>WԹ :qjFfV߼9=ͺ^X}զ@j)^ Sl3jAhɈ=`a3 넄;,.:ڐ wX 6j$ 6}(q}j:C$_q ӕJb0uj~߃pG5}.>`.Cj ;X'#MɆ֟^.eU)n ܠLer*,CvKޟ&gn.f(rs .N ^(*%69D1kam!ش.}؜V4\" L'B oXD2bY#E=:cuMsg5zhMWv7}h*`')İ MJ[$JU8sxpk48š[/i౐]yBj쒷=TsbE橕 P-1k ' .Jsul輮 h.PUixN̋O?9(\7|n}Q_[?Z!5P%(D泿~8f&rxu4'O9\3>&I}N4@'9s:#.#D*jp}|Xc(XLJLkf6id M{Zc)]'^kjzFK0ftoZA>mUjh//>nU'ŋl,c Pu[L5n(\#bZ[k\1s$pQr!0`ffӀzzFCSWKvNf?' MF*0EٸE'~] W ͞yUc%Er )W_wOh`j՚ΐ]D#/<<'-zӾ!HA362b-V*K}D *HHӸE68}lݹw`7'5ʩM Mrj:ce^ScLiXyqY>gp^*Y(G"i2sP]E3̅eʾ(,_w®ȳ] &O|[%*5:( ̯8z+:W No C"jRr#s?[u\ `rswMf̘.s ]Д=P4 oR{Q5zn0 PsjP06{= q P+}W \c\N;Le4;R'c݄} J4eFyS sU4ZWd>c]\6,áK2q:#j^*a8O4@GI]?0eD ,jhBjڋK544'ODa6E h5u7?V؈8k +4H#&#sDL,|}JF 0р:Cg+>4E-=7K`  XPhpq(d QI:gp"BVGG x_y;7SQV"f*"%]Ɖ( lrBW.EGS& dg.8[Z\y\ᐉ]qiՠ9 2jQChE&P| f+/":R t,%JibmLkv;]fݠeЀ }%>M[7 [5HzdH[ LGǶyӖ}2P#Z!Tt5GQ#@YRbdʆ;\b"c-̏"E6CQM6g.['@w]22ێ# .d)hu †[>{'lo6qCnھ`L6@A ѺİU uL<ֆktQkBpPƊW;Ɲ&M J] 9lz#ZP!(<1u.0dhLl[S{?ˇ.ߧmkި#R u+ ):Y2{훞%|Īy.2(_o#{^k D Y52$"'=nNw Tx·%N\n6(y."Z>/> >z:j,ZyyYg]rɭ~`fa| )idr-'ZbEbtc)J߽TN1.QJK d`\6TRh 5XXZ{*wtz-u1ݹӉF?oC~| ín\A"t!1k R/ S@uD"QM3n]~յz-џsg5%x벾* <"S=fN XFʑ8rGC^e}9;>vUyyϘ_0GCnoqO=8utA@v7n]Ś0Y-8Suk{"4KTytϝ{-ޜ˪hm*2.p=|&76HNxyw|?>Uvya27l/ꚭ#:Ht5z*K b Q&CRwN궫aҚK;ϙǧT81"aIP\ݭx8 y,SZ1Cej/v s'>2_m2^n8\#5l].WpPc]'L}1tL_cXM5xNQ ޽~?K:T"1șe۵kݖ#Y:ŨmUNp< .`H|99ɾ|fMne&l!Y[Aw:wvZ=+sk]K'k <2` s\gbm&I|i{` #89)yI ƫ(~eg2knjRY9Mń.\8MW .z &ۉiO/z獰*/V9_O.52 1!*Bpq;%6M<}&*2`?< ~[p+=zXZ2M/?NԹ~-1WCߋlSg|$,/WЗ ܪNi {.ς;tX4/,Lu##H $/RD@.o<&{uu ԱȂN[:mJ_;o~i{}\K4U ﾙs`RIgSp!Ƥ>&1FnBcI~Ww/\"0a{Kb[\ Wp= "0'JZI2Z ֏A՝})gڤ}Z()tKkmI-E̞K\FXd$ʹ^Ƣ$XIx,0_2s m:eS@vW[d$A~ŵ >hoJaJ|f$/Q9Ա?]'[Yh-N"Ĕl. &DH910Ys#,"]c?}kshkHxTL!"v_@ ,2m3l6 yIm?E:;sCQ oT+%mw(Msdղ5Ru_4tET׳Ű 6=&+a>OѸo:! 9?fyuô+=n- Pu\6)yut pQӆw}Iχ8>o}oZ$ eYBCǝU$q4FG1V&`4Rg㚣 =fo7K>̳] " YMuZKŲi\91k>3[h,Ӭ U](ugN\ȍ xnQHhO^ah@3 \ *pixnK_ &_(kbyB\vEb9)͵KVb!a$iCCPICC Profile8UoT>oR? XGůUS[IJ*$:7鶪O{7@Hkk?<kktq݋m6nƶد-mR;`zv x#=\% oYRڱ#&?>ҹЪn_;j;$}*}+(}'}/LtY"$].9｟%{_a݊]hk5'SN{<_ t jM{-4%TńtY۟R6#v\喊x:'HO3^&0::m,L%3:qVE t]~Iv6Wٯ) |ʸ2]G4(6w‹$"AEv m[D;Vh[}چN|3HS:KtxU'D;77;_"e?Yqxl+ pHYs  @IDATxlydYsN[ݳJh[Ͳ1c 6x!|;@rɍMn?I 1F`llݖ,i2F3٧NY6_hzyϳ߳oy?orłid@g6'VL$XT2o2,Yfa23}/|Լ$tɒhl3`qY>, ,yV(,pX/4/- ύ͋G6Xu桌oxD`92Lhh+7Ky<!GȂl;\~Q #ԊU;oѢ ^&+e~Oxob.u-/խUYZ6Vc鬭 {4l#U0 )=¼Ջ5KWbdW=>Di3(H5(?Ë>71CyY2d\Gj@d!;`Ckjms?$7>GCVRd 6]}0dy?dädhhC7}  Aky[S&ja o^n#мBF<1u PDxb L^/]g6w03CLV f_dvL˲GXjL@L-[D@|2t+d(6ٶJ jEW* C/%THCWPI7nC#z}YM" wG<1!}Ԁ8N&op/CF1÷fI{Sf hhh ;wq.@]# 2D0*%xaTĈQ X|`\֞111P,aJ- UHc"֏&x`p ! 0 r=x #V\!/E } %U2k@rC U06b> 6Fr 6DQWcw| bV)c=⩸5a/d4NcKR8Oz=ɣ ^aOJz8"~[+R(Hq\?9t <{H "z as=k1p"?.9KNV BJw,IV fYl١U{7 @E"Ju>"y4ZFNJ(;3Ef Oy9ȕrF|ŦXo |!C89vlWZC :K@i 'U6US뤑9i!csQFa@s)'V!.=~BRS#*ݑjR0 3; Uطp&EvHsH1a)m#S/ȗa{ʀ{ q 3%JJmL슃W`B2<1t+o8p\B0pynWA|B(C)D1oDAlQd ϋ]!lx! ys 4yd m%c@f,M#c(Ȫ.9ؕvDS/жJ9LKc1`-ѕFC0ʳq]E,Fr^…;ʑx24hcHOyfRFс8_|#d1=?e{:m4*mr,j=s%,S@@[bVa0a>0E],axE3V, *"@لJaX*uz@]!Um^T/Q<ח2*;E=Qp?&ם);`lje *اS7!4.:eJglyW!_?'xqL*j_5'|CfxdJ+tۂLsc%礽ɂ\qV:.LcmJyԸN*j.B֤ !^/jR s>HJ SiW/zS9bHW1(*2?`c`=cHc ۥrvL(iJUX=@ No`Ce Qt @/<5'0=cj<re֠;r$.A0yGvLS4P%PKIUH`c&Ej2 5%/M#- "e"f5bzPŹ.#y~FY;X"8l[!J/(Q Gͧ*$1rޛ`,}) /T `0JdQ `X |xFgV~ qDMcY|5P>pȧ\weYlSy|DU !w R=Wy2HP wC ()9f\ d^%}^Ip8ؚYA1d{JYLX@A(Ę]w T} ֚!Ȁ:*2KTwPS!Nd\C;BGj:ls=H!F7fjFuvQ Xa*f璾2`镵{O .I[-- y*{͛a'%5W7Ԧ5rwRDhVyhK>P*"XƸ@GK4"̈́" WwP(HZmH~/5+6;#YJEUfH>:ش#|x^=ՠ틾 xKj\@N%M'> STei.oYg4H1"K hr2(PjH  IɊ&"l1 #^ŪɈH H#ɭW]I<;"U,{4пO\Ox A8JUHS@qv"d8 LE1z%c*rWNC<£?Z%)RA.χe2H_V+7FC"Th܌  ϗ)ш8ĝEBs@́ xUK(E*zC*ne )(z@|& BX~54T|gU_f=&oJ[dQI5 Hc{Kxx3pmqkրec̟lijasz"dg_&M8a$:7— gp DD2}֐bpұ_$LQLI+!@XC=A9eR(F^&eMV=85 εLƄ84aT9ƛR9h:*r)}K!~ʘ ަՌ2W?DRTz9)Y ƹ @/=bOqMRo_0n0 r9YCɏZʍfT~Ě֘PM&E@s t(HK$@$OJ\Ub ) ZJ\D_X2b€f Qϐ?|ꆌ 5.:r#~B=%DJ%'(R=X360&QTl̰0+F=m#BjEqku%0C,8rT4lRn2a~D$ja[,ekH?t =02\S`SJȌ!1׽HL01G%W$.CR0ONPpl4I)$ = .9p"y}_!_k$1?䕄 Lg毌&⪴vL+Ɛ2QxqڗdeAɻ߼VɁcU9nOPX*us^@V=TzL"L 8jNrE!S{NSL5L]Ik ǒP$W(r-yi=ܽ\@:,2Vm)"3#X`v@s&d А V"|kYpU$䩜doJ Z^~*ymP c1ZZ{0uG(2PGp\ 1L"1"K'.# <7[ʣH7("=@#c_P^2VCCy9ny01(꨿ G|enńLaBx<|A Ǹ l'!# ,TcWc6 vӸx0m1AaC]JARSK3JVOq"Eu7 )PR5=C@sUF7V@:vX!z:|pX?} uB0)  t+4 tCU?<&Oez8čL0Ljz.=F#є b WsJƔcj BP0Y^V`DZ(yl $B)TM(FzJR{AUgLJ5 !'} }_N{`uH[K&^*jz 5'D!<6* "%)%e <9 s3~D>א\(C!dQ&k(`\)@}q#@ rNgB ?eA9/؍B21JZ<GVlqk5r ^@v ^(u8L BtH9|ט9<2EaXx2b>XG5w15+DcFLwLچ$*+l } = (fHu-zM00\Ed2-X(rDX䯦p9QysR(32!Tq@ 29S! 66a%u?Oq>CDT1ia.Cct)Vj9=GgD2$ڼ8+Eg, W,Ae=,GfLL@;U.ƿIidbL 5fURR1H LP$$\ ac|rYb!<,"eHbWA^<)Kj~4a~Hju۴Cc(S$kL(%* u1r"HsL> _ @n"k(K׍X OR0$n)pٌLqb'd}-˾pЁk`CN*+f}|U0n`_1Q0ھm9 #qqNa`p*S#z2BdP a;4citGW#-$([Ю]b8He8!5gvbm7Tv;&O:1xBryC)*HMYb ck0!rJ`JF*MjcfWsO]vtpƑ#FFZζ:POP֘u%cjPam9•c 2&ts1J$k}Kl⠉r<[p] W.Ri>A)%ȓgbRT3v16q^LPp#U LXɥ@5HVDPU@),/o uyNV{fإi9TS:8[ۅƠP)'c,rCRD#`~ 2.)RDFà 1mWAJQhTPAʑA! Ϟo5l7q}udD]8jh;x/p- kڼ"x茨 ?ҿ~˷o~Ӿ\ۦX:F&U +:K6Pȟ[xFb|irSn^nP(y.ʎ'OM{ a 50nv>{rqNJ0 #8@iH3{2e,1k9i$ms5G oO $ #BK`,HeJO0X15Cu;]?_DX l'^@u/7Cȥm/gf]X]%{@4la8tQ`tnnrN~۸m۽!rm u]V>SSzuC)RkCg$ET%pyLFrn N f 5a!+.i_|؂bZB(2 4֮<^Xc2E9ZBWMm{;H,GBX\E ()w+$l[L%oVxɐN{C8}RI-8(RIJX*ŹL+L'qcÍ.N\t9%q !nLDC-{:MkTQϽf `=mGӃAkBai̜YOo@if}fzijxL۴Z#$0a4L]0]˕2}˰k$}j- *ctoAF'h/j, jzàFAqoN Lbd΢QrД{v@Ff&Xm:fK\j-@g06 ÒVЊOšKs\ވA|Z_KIJ5v;l6r# @ѶsG#O;)y4Be_]8Ui?;X}jƘ0ˌ0+TKSn`#6/U(4\QE :ې?/2 T6 B XB #c]gŵu )Y6?U.Dv %jxy?xUD- (&~ S( bRUbb`D[[Y]>\Wzh ( a,v҈WF@bдӑ;WשS,ѵw*sm~NKkֿ{<ƛUy t@ѳ? 2SdG5:d۟~.Ecpy@AEۋ6aj s)m!nJ%x5G͐OK3Q2%G}$ZeļbD|7 W]"L<,?cu%C֤&!zERq5n #Ph,ԧX*ceZ`]ds{M#(U@!R/SvL(]K2Ne9ukG&xDD4rWꉷ2]M,kNk(XWٶ8 ]P*J7W.\akV, rcd_/ڊĕuZG@!1vS@޵K5*TUjncL /-@K?&q3N{|kk/"6`M֎]WdO@EL7$'yLA{ظbENGUFжo(W.C$3M*Q6^kM^pzgԥv:ɻYֺ33bB5 0%dFzJ Fxˈyu<.1j&2 5 3#vʳlj {ww]{h/Rp t ~r;RRvBn#Ƽ$2)\sj1+<̘(bOվt5DdCbjJ[ cx.:Ag=s1#($j3WW6U; o53q@"P=`_!v]X[`t{~eYlAP?:삨@TBBN~|@1蟻++(0\quy%/YCGvboLkzWMȬ<4\P BD Ze+gA K{:r+ ڼʂUҦs/q PT֐9!a+s}\:Gs;.)[8T8;d2Kv);u;-a+dD |Tv-C_tFle4(jR . 5E͟G!5?yhυ [zG0U|~2Je(〦1Q/WbBjnBQ XVBKTf]'Lu Fp1aQH2ynx4vr2ɓqDLD@>h+ :WemW"ܸx@')k>Q4R儬= c)Glhʈ8ٻ~v!oI]!v dݪH$Uʫ3'Mx28ajwsL=DmaB]v bٶ yTү:l>/ȸf?VTWM'-ysx3Қko}EGxN8P($4&yr᫡0A݇3.`oT&,HUOepIx. h<9 wuTn>ỮgOEpW/(A(pߴօ,dνyߺ,H'@l&[#dé}'[A"k[nН m{'BzҊXNy[g29EEYR5&DBhkp%W'^) `=R ('.͑sprq=n7`= @44(]z$ߤӅT ( y։A1Ad,RMcް;C*v<oVAkX J72)p'Y}VtO~ A1k5>aTtR]GhT SQz5T͆TMQrQ5 XvCt6bPV/Yw}{酳sa!ڋcW[ֽ|f-ڶ*|O-, E`5b.<>Nk!ު.ttNQ-Aܼ֝ QQ9 +\M뮰7`(oW 8뢨>Ӄ 9W'SOo mҽ;Ⱥg7 FN5 0D>JE9 B a:NL~]jOC1\҇ >Ќ&=yvρ>g!{vA? F6:[&]'Ѿ'{z|{^0rl+'ʚqE[-2-rt7p7>\Ǝڱh0LDqbPjQ9N6ȫL(iCOѧc{N:aۛ egkoB"6ܘf7]?95: Z}bՇ gw28{J-NLi7 * m.5h1Za}BʞN%hUL Q>dV9o`v͡X<v]Q c1)g9 cY`I%=CPvOhS:$WhT1bЧ8!qvai0RΜ?c<-vc_[S]]]#-c=%❷Q!^xRyߍ,u}>-_b3<.ґe?!t+ϜNvpAKǞ bu8w׏hSOڱ=oQSxΝla4 q7O C߰SC; -GTZRcFs:&kQ.+3nn=^ h}—N:Šj.SE# !:fa"c j T9>|Bg !uJmM[xArNM |=qqФ?CLo5񪶠 'e3Uj-6e<_`q/2?4щ(:$z ]đP!RtݝOm5A^P>>8EщƮ׃&q@N;6MQڻRcZ4.)^L[q?8tҖD"iFҪ%RX ";[  F3$ޣyWRn8Zet;|=s'k-#!_ ܯ'=~m|=-ؽOalˇOYZiCoi> /{~nq̫kŎrҮZdN`=_V"udqTQAL%ūFvۺA@`,\IOB Ӏ+07Wd>6wټj ɺK3FyG}V{~ $ nzX^hP(X \ޅ@(^)v2 nhez"MgI!Öh݂I3,!,w"*FP HG`;IcX"/h>vo'<瘹|:7gr%[R{W7mU!^x f%ϕK/پE g_w;1ˮ9rخy nfamB0B#@ ݵ! TvE Cp" &ASS2MR ="sUj^S'g-fȱ9N&P:Zu[WtӳA |hTtm9/sV$#_9eP΃dw>}-pHЂw0^?p [oh/>{ͯ{ۛeٓzڷ_ۀ6ܞ֎>:[vZe+>k?ߢض¸YvU{}lqWً/Be6ϜްkOj؈%dz`u:_C,E-S&n0(5^3aPuò6 :{N9' b'}TNTuJ۵d |2sC([@SThNWRɵ73ĩ v f?fŚ,aD:rFb3]-1r8S 1{w?`?!IHxlOyISڢ<3u\ .)^/tG+l_bʠ)ȟ'ͤ- FYJj"xc f8i|kIWvmsV<$16t,dʥi 2 .D>KFBL˔g;8BUǰYcڄa˶dkokPonGO%n?q.=k/=UH5tko_/J _ܲMjԓ߳O-5ÖuB+{7 :M2HduǬy>enhTl{((DӬ>fz$fI_~mO,QDvB)-E!RW\-x5W_mȾt{Pe? _lgoEz ɪxzmN|c ;12arA ؉5nݿڣ}c|c;+bq`j "<^_dW>l~XmHU?mЩ>˗>:R#RQQMrQ#RB*5;Xka}4 1~O!*HTT&Rڀ?:EGUiG6\BI#|AUű U !qDhTrhcA)jhq e[*H$a]xY2M'؛zV'tR䗿[r-^Z{ Ng(o@/ݳV&Ɯ~~l=nlϟ7qF@`[Ony5>rY %Gcͷ?~em>Ir:kk(iziLsBjPu_{VPッ tlZmJimN(ž!FQ6fF'l8P>G:jjJSԋJj <^)3bh\fӟ]PfHm![61-t:BᶆqUXt\}bvMV: JWDiRBm}Wcm;>{):5M%id+Y![ll”=#n:cD9҂gdOHP ;v %B_`$t/l`0V\79ci")4ޫ3] D@ cWUM=y9d쭼&159Bzdv R{(l0Nք qt>SESiFI:cWgiHsAn),>0y3 E:6F[!= -C4p֌ 8I5xғ_sg!8RAΝWCTud C>a̘X :|LpPUk8`\ƧmGT)uV ikJ-xv=W{͞9++ҽq~iw?paw4x0eY)H# 3A 'F5\eG` ,j5Qh8Y3P pvϝYzT{8z$:B8UAU#,YۖIdsp*iVȵvV_$UU ( 8Atwꝱ3I+GLv(H+u]4Y9,b@{d^xup۝V.wr)f;넬>LAR)4)^Vu/ xRP8ǫ"th)d֧RfGЮP)Zx933blѭu m:&u3Atp.p3:ltߪ_-mRW}Xn#_IQ#LSH>204,؉vw٫3O.bF_c\Fg9cqY{;OrS dpE%5Ȅl~˻K^y{ؠ0g Qng?qzCy(,H#W/ajҡ&&IӨ؄扪]s yPc8HѧKVxmR%6&`2Q'A*,D|()TՂo@],II4C` b%mUaFAJDtVas$ܛ!ڏ9Â+ 5}| mU=pÅBw"XB=;y Kv515]vS `ۃ ~{Y{忷"-͎ݩoa|F꼵]w -Nەq_g5'G1᛽Wړi^Oq]fc^B+na)u47 $WNdDW:z5C* }AJxЯ /UkPԇ:*`̉C#KJHr @>>LݻEvEBhpLjYXV3:jfZ@NoT;NrH5oo݇7݄pnC!eSJQvmjW2cgW9 .n s+^! ߰b' E(vQL0ߖQ8{44AR'>c6]kmMOGw $ ?,Ds3qt<^ozXtE/À^[CHvmUVʤ; 9+;PD@EOV Nj P8?3 {|]&u4A x]MBĄTl(\{}0M"uxʻ7\7\^*<"ݶf"#b6 5yzk2'B SN+hM*|ƛdj}XV@^$M~1g+S톛輪Qdʑ| f$.t_8Ojۏ~׶KvOUF߳Wx" p5db뎟{K7zeFuU v]%Jt F,k;\gu6 \cn|I.(`29 -8ESBHS̵7Aqkg)n\d/ PA,_` ɡާ7]߬o@x;mW! ;rӭւ^7^3;=]-f(+jo_`٧ t>Aλ~8WAbFE.1>x?LۓS)`-O~~>+5"! 9ٳyX$@*S:dDMߑЮ:0YZ(b*I5Hׇ\;5FXPY>\J:EmU:"Ƴ]L9) d2! }JD:AU4H6~ Nn<{*d8A '߷NvWjvɮ`бgٖ S6=]0 (`Erfٍoɶ=Ն+@/|]_pb+O {CӦ 7g[uB4r`##WQ;S8ca(P@QVBju |,_:AB-ݮtH<mYrB~G>~w? 7Ȧiy}}^bQ4>q*0)ݍ&5u_|4e_t Hrp'Q&c݁xhc${ZxDEF:iX`uS`j#;| ]_`>~YwfP#;RUͻIn-SןCކR$a4 \EI#WrU)Ͷ)](wwOMJk5 \1]F ʨQm1`0HM8jhie!/XԽmU/@V^bv =ru9I6ɣ3zSɴq)DXZ-˗.gɿFLoCJ[Rg1EƩ46Fnb+_{E#f }_دJO4kA/qcqOtf#: ՗6JKC3M^9?%Wǥ%Lmwݱv*zv0 _K#C$!HDnP9:J!rݨ u첹J}رP,"Q7j^I\"vei+KgY1WydM",ܾ$i"(oZ< Vo?!LE,SMd(P5EPfASG0A>KP'Pa\B/0~9 "/BSG~[u YOzt,V Ҕڻ?~si YS=x6 L?M6qJӯBH `s;MaS(;AWc>K(o%RedhSgdvg 73կ%['hEl vCM5[ TuaRnh Zo پw8J~(.lYٵLvأ$0(ίsP:ؘrd5g6 {R:Um i jI@} a;FN{P^p+5>_AF;k3mi|{Pj™k^I/%][((:ps^ ژK \ "J|aϲ'ӟ)G",HP`y5M"ySiݰ "Us/WUfʭwomA($ݺyHX vd oI}(O*,)޹Vy`j`?V!-Ciuی =4z( ٛy}QDwWJ]o;gr(H:Ip!˾Bz?w&++!"Ci*$nQ!6-;fU viJ nS08b5a}'ZE^N,_.\̈́z5` YF6aW<@i<)ZAa܂֓W8VpH*P)N)H6YZFpbCsʁ RaMRIt߀rUK(WŤSl"Rm |Ybl╚ d$㻽[o%f+!:u0,{lG2EBpMXܢf5.QXbC-"$=Hn}ic:cxb 1 4$ D\Qj(uҝ6aS 8鲄z{siP$Y M qCiK 1N@5wXdhUc7}gf&ZsEtL HaQIV%t=i}9YB#כiH\7}fYml.C!6<ۈ+t4̺SxaML~6:<>N}G:áMtZyv(?zG*@h>>'%l[RWUBNL!X1K1HB;E$@P+;jhpӻN29UғEFBpڞS:I2qIp(RTlYc&*v"RT2l[wlpl.r!\j.Pw o(=ulR 8"&LY]޼t7AD?zhb iFY_hT|B6[M:gnF2qt W,1ICc(>U"1O 50KAlz.>vj ϓXcMiD`:|"JkTCşͤڥjR`ĵ(,lGa)9U.6vlRw}ld_Y+I~XGڿ=]RmdPI|mL'+P6\AQ.V ͰiŚTk 6 3 œ;ѩsH}$;dYNۛHf! VWyk7(xt^܅$^&@eZ뤚u h>I~![&ۂ8N:Bàl_<{Աqgtn}MT2vP5+{.uh&5{e:} 1[Ԟ8 ݾPHf5=tQC>=9$]BGw{w! 2kP"?{ME4,r!d" ^̏|wg$39C+4ȇ=+4:t)# xsT#b!&SN`\Z? ݝ Ya2GYPPN+`]nE}d:ap"J^kV1 usPKGL(p@r3MX-ʮoҫS'2lSuߑc8| Mϐ;0.Qݳ\b S.8~?5Cpt~udۘT6M ɱtwoej8&@XHAA'iΛu('j{t6Hfm+d,4nv+,reoG% $NNpk V&`ֆRiz,>},hjUo0sѤ 9 %ZΟ Pآ2ؖn\F%Y4Ss1p+GE9'd)!&PdlW;ZIWOPu-=s xoOU)WQRՑ`;v%/w[ib|=/G󴃧Tu ̟8^LηHI_gRz }{ҩ^3:5t0dm(Z'P rY ̵s o9%CϤ-֘ Q,,UGy y {υhZ|4~m!RAY`}ze5;G].L^پGlùS C0WX@sT|Z'N0\ˆ7W.Vwgj/<{cE*/lUbBKz_AD?q[ &.bځ}#)ӅhYͫW"ʦ|_:u׃Qʞ7Q72mZ>Oש@VCyRsLÆƨuӡ6ф8hMJx')+աQÝL +Bs3.C7wZuiiLFIiwWd8ds-Mnr F8@dM9|/4A )`r-+01r'E~n lD'"Q($2a]`3)("ŵ5%tpK;!2GF3fw|MC{_0O]z~q pghk@uSd;#|e#-fQ$Bh ݙڥ`%UK-l =r ${簯ҩ2"En'8H~EOąAFNp\ml|[Yn"P&i9рVFwQ ԴVK@JS y!uV(Do1 Cj{C$/b e-ҋ\DQ'X@66ʹL7*䭏t=1RTZGଇOOw}O:gITƀ GS+ 2iǀKF88kx>, e āPp`PW7dpN<4,A$hsR aPd٤;R-9 ᛏ'5Ö>aUE;TCv#lUxEy2sn ;&m& 4Gx_ `Cqxbg}q8?_Ԅ@Dr63ay~4a}`SdH𞇷E4Ghz 4˨%WSZ:bR(t΃r|'1uýihʿ{|}鏤2\;+=fPkـ ؔPsI\{0"l{–E7drg<_.rV`0 (VZ},@g7tTt8J'K 0[Ėr>$uwf~a}ws p_XCpkq8"kvlM)ǁ t? x?G>r(+æ õ%_׸"p~F ƺba_kF#{ҾGL^~5R rn{N#V|!,fQ؂|iN4"n^|U0%=|&\ݺyay6h1C5xQCUrelf=sPeeFdP`j} (O.Zq=xP3֯9*DcjCngPc\A֜]1mZ?O9׋"k&N=g_*Ck7w/!( p.S8(t$EZoD6( +jػ; Jm)YXcl @fxf#\ԮԷLwh\sĚ0G2J%+`,l +^ rV A8l"IDATތxpOB dZ8{G >pAm)$euʑ&q9l z(M9gʍ*,09O!&T$PՀETqB oA> (|Ik) D~7b/R<>Ȟi wI7rs OY)N'[}ät0b *V; ώ' ݏ rN[]jɶi[ NW\t=y\\VLFelVsx^<:mRj0ڂ8;ER"BW3fnP Ovn lи[ڶlww[1pga&/fS7I0Vn{1NʬI.֪Zfq\x4g Ib)':枺[5&16AY]MnA"7 f-y@޻h+܎[[8ӹ.RlOwN*4𧝢 B.FQ{AYkc4@bch֙L~1Mݨxe%6*ebh-h!Q.Ma+dLe.Q9 ,R(zަ@"n`̆r ض\)b --ŲEcWA4lw <6 *8yHhC$oZvwV^q@<#H߷}Ȇ2ꉇNY՛4"*%HM:hS7LDӸmF/`ڳwvNȹ@8?G9z:ǿRzw\9Rag[ ol`AI5jz}=d%^w&t`N/d" %f@6lt̪uBYfE6MԆe61FWEд("8ID Xb4P :a}!v ]iڦXɷO(GK%h,@ RFЇU6cB Vyw-,X]dkĿ~KogL&>N+C!df09CDCRElgD{T/.*é:-LҬ%<>Ʈ^C mKlC5K@9w{"֭Πæ챈9ii`#Ty+ X>`ڿ^;kFOo&`aW="dk>㶾8#Es=o3ڬnJ5iczd~K$ Lױ_,@Fug2RITr"eK4A\i,GzLrKL l ʂd}"3Pv[-YWI z[<~t|g}(IT><0οc`L,EPޯs= |czh6ú@>UE!&&UGγ TdVаhQVF_TI6[,Qٳ8rP V@D3:2(b ?E^j G Ucf \eR,߁+@6RږHQ$;b*r.bw9*e:B6F=(k[`C σH/~3=pa++jny6Ptګ F`HQd١y rBspl!G2> "Qݒ9~Jc)8{xΑm<f'Y/߇ڔӦykSkWKȧ$U(}-ZB_XA@^8B@\ȠWTFa$ҷt#0i}S\jTZUMkb%=HrC +Y&o#tku>o6 .'cqœ6UEr\8'<w"`J L۬V[!YK *< ;oU6 Jt$tVfL$p46jd# 'Ŋ Wb$3<{to>NpC1R5y,zatG&.22t0Bȡ}Yvb01Yo"8:ٻ<`E%7hs!YCQ6f?z#G٪EpD k"Q8B7gN &Vޤ{nb|2=ߤK !qy;8ml |62`@56[ luCFt.4s oς3MY(JeYƬg r25XR{Y:"D$\ D>FƱ SI #&z<)ݘ,VMuW# r65ߺ|ML|ʳQuUw}"^=Bn X>@#~b7RytʈF@t β.2VקC'Ƹ9Fܺul5~o@t3w~]:>V/G""('ʍ5RF3͒p;2܂,ѣnw @] fX7Y颇 kb~-\0i?O="A4J#<0)616b&051Ӈ8X :p5EXjS5p~y2mnʃPWv ➅`&'%$5*Azd~S%ʶX'B8:w7եttm~wzyA ؽ}:@٠??s_MS/Nho~3ȧ %=?Ni9 )ɵmƸE5`ö}gۉ9KW=w,*(.V?,cI%mP(PЂWs* Yc$Q=@ո!€`+oKY;#  ^!aNcK=iqi\"Y>%jYoYSq?4.!J;?ҩ9jrIJPIipOaezph6M;."Ը|&9p,{?ѳϤs/M̑eMS 0ģ;_ؘwp}B^G:}4SBshط&vUJpO #6`~ ض&la~<,2tr JHa=#X@uQjld*~WAQbnP.S JefW9FUvk֓)tn|Ax[#DŹyfQopM܃FQL9 E}L~|%DqOFȜ͖Nm~fߢWLٛ79x*t ~t|uixRC1@.%`*TLTC]uX ,RKD0ɒhj꒭5 6]gQȹ" V]BERhx RUо># kMl9+8t 3geuMJLq<*8P9"-/ЁXR=xy\ .HicMZ'00q{+gO" "W)ItN(}{Y^̀X^:Wz]ba@WiH1Az>mʵ9{1X|ۯ ŢȳR\MA DT2D)Ow%[^E,GxՎӺ7eܠ*(8 d\>&wc-@}}T%p8| 9|$ { 04A* /b?uYX# +1nfbH%پg<4TL3ȁ#? gN8/g'- rNՔ""/fvgy"5ٕ ps7aB't荃ZhLP3Q Ȇ;(j年Y?@I] V"ϰ6LB)I,BA!,"߁JWD'u`E~?.Iک4UuĴTъļdCEHD 4tDfS]~ p g+`hDxkf]á}XPzJ&WkTk {(_ Q[5;=E%yX` ,zHOCjB_~ 1!;di+X*ɖE܌5L;  ۙEH, _;W"U*V󯙅c3FMS50)pDx.,Ms8-jqh cs;RXvtNP#;d PY:5v;\D[ƙ76_O=ޘsp,ͦ4y*,p uS٘XbKat:itV^J_e V ,Y q$,(p;`k*W-ܰF P  t#\Q6AT<˚{4m=**T!ETTq :Zȣ"*VQDIUe׊ viJ&ŵF.b|5"*,Ws/~X"]*K}@.LuFt^?QB?s* }fk6-L\M7.4ݼ*4j#%/`8WP8{-oLÅ$(C\I X$)^Z -eՠr5~ U̪|BvdIöӕ@AziÑ:CIRgƯ,9^ v\Y|s"%*_wcZV2ޑʖ,7R"ޛ,ik]R@] N  $h­Bz1S{ƫ<= urSnK &I='7_ O o0o{58 6N+=ȇo2]Zt Q(C)MWiB:vpm1cVuYł̲]Xn!T !JXPڤAP.uڌ9kshDnTJrN+J aQ7\vK)` `q+PQ e6^s&*=,ϼF(^==yi9>BgT=jiY"+ڙr_*À,ۺ#ٔ5E itt~v7dmK($1/n\IGM?{!{ V&W S萲~xc籙Fv'ɧE ϓ` k"v =/Rң(GCn#&ǝr&x 疣 Xe""A~ChxbgG[k-a( \r[+_&ᥳhQRmvAvx%a!p_0:|[}DZ)2s#q_ 6T.s5P ¢[nZ EyetSaj_E694T2{AM*f49ul-jHa&?zhEpoW?|ƴ%k?d Z^:5tաd6YdBkڠ× <+t:B'5Fв"zϼN6&+Q.Y]X32k>׈dp{`婢)g⩘fWdY 3 S9=[8UnE<j(! %K7|RZ#\TX%kH`dtZBҫ秀^='}U)<\M&,v8E0Vv!R&T>俈 AA 1L4RFC /`|R%'|kZ7"'P)Dj_K\6E.c "l"d,w(k,;?](W ,]Mµu);yza8OMKD;*)cOa@C=sig !ig ~1/P6i$o#*hd\8BX#Q,Sk6 0P{*Ɏw胞>tUrD *(ρWPԠ\_,_JBiSӡ9sX- txꡪshh{f-D 9VjZ0'å!J'EՄU N@*_dix.d*Z}7˜cK<~D2c5EЮw=1M[~~6FR亨"awr=me9>}A'gء+rxʹA*%FwR:%[`GY&"03ȱ.:Q/,pb3 DQ(F{p9A5"R0B"νuX.Mb8 80jlH.U` Md>Hl6/Oq\5"Ia%T35a|\URH|ό''iK rQ.֔i 5mj<ܗ GA6hgq-/r?Z @clg͛.m]YDK@XS8 ?if&-alE lݯVMSWQ"@R5]%A1(.%kNI2zoȆiU"dzMj60H*2Wrnۑ\6[z3RlHV7o'"|OXʾD`& hmn}[ n\z ӴgLo/FȾI&6tZ`.D_'o8Q4I|OCTJ :(B2IENDB`il32 eflkpwxzzfFĥqG;:5yl!|Y>*eipts{{}{UQԴR;74nqwϺiituuz~~xAbռU:71\}uiousw~s1jһ\:1-Fcppuwsw}Z3o̰gC,(2NXQ"ovvxsx_4mè~U*(-?AyLosu{zvi5oY*));4oA'mvsyxqV4nM($%148'qtuyxg@-ý]>$ &`P9(Fo}rs{X>*ɔPU)@%991.hIrumtP5'~`bF3f-F3$/B)rsr}J0 o]`AtG~`"(!5/Iuu}pO%"[h}YLqV@W)Aᩞt}qC1/FbWq\BT~7IG=/)d-ȫ*24:@>7:?=?@L-*13>C_bi?`6z,057<:9>?@IJG?>dI455C0%+Rl?d-.46;@=C?FOGID>7?E@AR4$8T\ =k3ȵ.8;=A@EIJNGII?=I^QUa;0?]R}82ׅ95>=CCFGOJGSH?@Cj]ijED;kC!5Ny98B?ACHLOOLNHEBDjmxqMOE|7)Mh.ijonqw{}W,WumD-'(!u~~fRSS&lntwvB2n}U3('"gkSnoyvw{/@}`6(&"Szotӹsw{u}q!G}^;(# =dl|vX%N{yZD- ,ObO||S*P|vbT9 &ALpMW*Qmf@" #??kAyz~lA*O}s\9" 4H1~~}a,'Wv`dC.!&/N{zxN+%Wz}_6@&. ?#iO~wJ%$V}jyGF7-CjVH,|E"!RsFDv.L:[?#~NQuC BJT>x3gPl?(s+ҁԪx9(*;PIX@^d/FŸ_k k;57Sp{hNuc4C巤RM>`m:6<^fj~_lj<^vAK}l2#$>z{L_Z*+jGJN xl84~u|I]P! h|hX ~|mr8-h|q}ESG!bY\dM+IbFo^Q]q;&!g{f}#J?&(;2;Q& 70_~{K?@^B3'\s]H+CB*"$';<,q.k"isbBI;OD6,"KgqP;3@)'+.?@+7#L4Q (kjK:M;H=4/(A]lg281"#)6'H(B'-]3"MQAPoX-(&)!&*Bg Qg.1-08:94[3740E8,,)."%CS9v7{/326;9>66747640372/6%,FH7A-668<;>@:748732:E:w7488<=?676;7346MCGD142W5xAbl85=;;7:8667LKNJ8<:d*\[/HLMMTbe8(?KJA4#N[TQ@6:oIIKMKU\a\%2TNNH:%CYZV>0=TIKOGJO]^S!9QLJJ<(5NXdBMoPTNLOY]`C$;LFHD;(*50#&'7#VXSSQafH(&/JGLA7* "7ߢZVUVM_`9 %0DAFF;*0ήETYLMQ^d-"",E?@?*%+[GX[PTY^_/ "-B6<@'(&" d>A&TbRV`WU*-9% -!#/Z ˝KY]\^]ZB"&'-#1+$6&P"vxY__[V[E"-95.! *ɸϪخ [a[W[ND!$.OjXEP,/M@.8͉rKbYbVTWNJ#%2NcG9>;-)L~\{EXSTVLYJE&IL76!+%&^˫:M\ WJVS[DD"6>68 *  QmIYg NTjOXGG (:1:&pP4IgL&P9^IXc93?H(9(8' 1?S &!@DNO&'.5$%5($!'' "-<.u.a &>E.*,)2&" 00(# $ #(**0+8"L3]*9<$&'&0&"#,..$0!:"A&0U8"-)#$('!" ".''6$!)$00toR? XGůUS[IJ*$:7鶪O{7@Hkk?<kktq݋m6nƶد-mR;`zv x#=\% oYRڱ#&?>ҹЪn_;j;$}*}+(}'}/LtY"$].9｟%{_a݊]hk5'SN{<_ t jM{-4%TńtY۟R6#v\喊x:'HO3^&0::m,L%3:qVE t]~Iv6Wٯ) |ʸ2]G4(6w‹$"AEv m[D;Vh[}چN|3HS:KtxU'D;77;_"e?Yqxl+ pHYs%%IR$ IDATX %k]wu9}=3~%xbS'n "T!A U ?TP(j3ZF&H'1=gCBNii4s[ƃJՊ*9N4[S}ᄧK> Eڢ\;6(eJ@XzQ,Oel$]+ HeĘ25us{\ȟ'/-{J^A[AɎvT`b*t($oo5jq8,՞Cr~Xw[ +{meqRP)E0hss Lg.[1qhlDH@oY\Ӄ{d+@|oV1$^&LD]S(PPQ`Ô}Os>jsH01 0jNXY KJMAdM۩"׼@Љrt,8}MCZC&sˎ|(('!iMDBxʇ3OH]l0RƐ+֗w"uCc:\4!6:k3S"j^8Js㫿T39ms-Qdӿ~r,Md3ОN!dSk*J5}KY4U"Yabt~H;i'1>%,_[XxXb̸Mp5琰l|,"+F^f)*ӮV\mm' G\zAzO{&m4FLQ͂y _|J9KϪ Pߩ{N6{Ig(uF[ ]yk'Ծ*2:Hu`Igz/Ek D6OayzcqȻO2GHv ] pK@\׻^Wk%wF;Cfg1f'NuhoMO>|ڒ顣ڳȽ#?eR'a`G fC*W'8aPA"n*@-ƓSH;"F9"(\ߩ7^}MGO{vipM эs (擐a7)q=A!Jqnzm.gi§c/ii])g 0cLpBb %,"|&iy?hbk[ CkpõA"6'ζ8MPhV,|2+"/)1ginJZM5xHz{$l#/7/dL >}k^6l:(lF*]p8&~A rҶ*iY7##Pԓ}:S[@juN VD)Bͮm86ϴ|cܛjnNjވ5k>A+CKo)gB}wzgo} EIENDB`is32enu}jiה>2Y08B7A<>*9O">E.3<;EGNz-7)B.0^I2!.+2&PC24?1./ci0"-A7U-08433;U()7/Vd06;>7641;9"?"uJ6:NO='hWOXK9E;% XZR`C6,)#$loN\^^/*0--*/xδw_WU2(eK>6%KՉ&QST0/A*% 1j82RYE36)#*/S*%tH1(.1#%!$%0?I3 '( ,%($+&S?% 36!"/.X! !&.")Bmr" && #%$%,\[y"&&*%#&&($&9qORs8mkic14aPNG  IHDRx$iCCPICC Profile8UoT>oR? XGůUS[IJ*$:7鶪O{7@Hkk?<kktq݋m6nƶد-mR;`zv x#=\% oYRڱ#&?>ҹЪn_;j;$}*}+(}'}/LtY"$].9｟%{_a݊]hk5'SN{<_ t jM{-4%TńtY۟R6#v\喊x:'HO3^&0::m,L%3:qVE t]~Iv6Wٯ) |ʸ2]G4(6w‹$"AEv m[D;Vh[}چN|3HS:KtxU'D;77;_"e?Yqxl+ pHYs%%IR$@IDATxD,Ir^=2#NB $A!zAog_"(pVrs_"S|QEʌp7=XR:ҭRURur<JK彪)aW^94Ц*C)4m~rnJ+^zñy@ceR=W~(G>W}ztѮ[zq)= v^)_a4zC]9@߁1`K8=׶[<4]mൢM1 .5cr} w]K/+MAYwx8M=mA\96Yn]ex~^;]M>w@B0XvͱH&x!<;Zv` FXΔB+vnٰ{)Ԡ OFò^3NW1~- 0nVr8P޽GrQ>;k=o<<>˓>| yqr-/NʖU|)SB 2(kXX}\(. âLOЬeWQ~){qW ǃ`s>)P=CoSu:UG>W7ȕwc {e;n&ow;\w+h/l#`螽!M ^=m9S=LwK3쑡#ͶYƳ4^8eNu:j}yOatCWc/ޔtXCdx|\eG>f Xzwz[V]ض@U̱?g:]sr=V}t.l ; n>g,I͘J r J+w:<E{ :e_ 4[7j]?)>=O3zv<@;8KYmEʻڣ~7o9ך_h?__U|˯~U]VNB-64FS2V._˫Wߖ?,??2e]е#W~>2DZɣL+/bUk3gSy09UZCj4`%+;eCmc3q `-T j?L"ةh*HxEH)abR2[`9a'֣Om@GsG"Nc9;SK$"K 9tab~g@t`D !< AYUg:>T Л8:btKcet|:n5B~5R0tv=@@Q8DuɾYapEApMG` SmH(_Yf8DycY'TFaaCU>g9Q݉b) ZH[6e %<r+?r+# lY5e'rr:elKّ7_).?hz:"/kWc6vcyv}C#NeW*htQq2Ml)U8r]p[xXWҁG&ͧkpAc6t|H͖G"gN]5R>Q?pET4nWkC8BacT~:G:C]Gd.sw8k!=@K#>;XGjTe`rtȅM48;"C~_AWe؛T:a)o{F R5NzYnT/k4AB'ucC5nbdPiBu*`WӪCa AͳPH}oGg:ӟ^@w6@W'ęy**.@<Гqpʷ@?0_m"yExxOPخuTpzkQfv.ezap> xM/˫_Wߔߗei\ѷ\ٍz8 rG-;iۅw1!WC@)p N`ih #B,l`ժZ= `0(V\1ҊQP@28j 5ǾAa7ʞ(:zG Jۇ9W5X(jzB0^TI,|zangn`&\uoE"N`9A.[\41WeHj @N; BAT{1? x%%H*&#M aBp ]Tn}< 47-޵Qr>/5Ѩ +p𤣥(G" zE@wD !v8qNap^h dV*lxv ό&=4QC>MbGKYe8Ř<`D5771Fcf SN2V[=RQ^LK5؋MwD8=x&+cׅux2!VM'3 |(dpcy>d"ߩ{gM9r}//厶Cx-/^iϟ?%z0l :Ͽ( cc8[3mOm0J_Q*RZ43*"4UEShLht0[#b#WE~?c) 6r"+z@wmH{b gje~I2 U:͘q 8h/YQVujV}`;hK8_C6 M=ۃ_PyVghc [<#8Pϱg၌O~՟ RlЦ]cg\SUPF&nYF}Ƒqh6Iʬ$Oq:sM98:"Fgl{LEw{s3 oEE3Y7xgb;CD!?]L/ʛo~I_=  eVoLO@D@+*t\F=ݢ DC0R={' ӫxN]/JlŎ9YD0U)i h\n7JaL2hM{+Ƥg2iXMQ\!lPG2`"RABaOfVH1PXd4b@$ +i!#b\iap"R94I'ŦBы.V7e0Ar)T@T]LexZ:N2Q6qIk!|ԡ zxc (4 ?3JWk: ,],0fzKcRI ;`uTha}18q8t55@A7ɔz6K-`]8*/6Gv RgF8 kS!`ޯ^ lM,41<[gNyRpjTh2Yp9N%t;\T(OsPGc84QeޢeeDCa"'ad9 p4\hVR j@]YAWK-UGXgYtbU~Jx`T|38q22Ag>kU!Kzs 'Kf8k2m:{S1N@H~Aƥ;eJԀ]5ӣ><np,a|iTK'I6;Su]C?np̕o%]*=f$]*dtt{l;wk'C#'eFH9め>؎v,6mӜv8f7xrɩ<"|*2ƻG j#՝ ۡ[QHHp!ڨKvqtvܽ*o^.˯#AkzNTJh(2wheVnIGLQ~V%cL':&ז50`Cjz,udZG$QAЃk x0)^D1'L;̥T pmG4O]н8A$ק3 2" m/!84qC;"PA") `hJW;w؋Tss3Ľ"A:MG ;=IGWixƒ0]u'#nS=ƥ 3/ Ę0ĠAGd{'c0qVP$8Y^$9bEd&`v]䉧q㐸$"!=:~w@_, mD0uT/hEcكl;etBp2_!QQ.D\ Q\LlBl<#+u1{Pon1 |>q)F5^=5 2!߁ϓ9󀈰|78H-sб.𐐬5DG-küZ\6凟>Ri,q.POU.P5 :"5Ore\/H/ezXJ k{2J-(IJ%tUP+s~ p.8%i(Gx]qeǥ_gv>0twe`&&˄"(Jg%4ɵrX GxLkMe$ѡ7']%FSptCeSwti YQ8~}k_}!V.3ުsCz}O6OrsƄyz#h ck\uR#/!BYaNՅ" |^Ηqu]>ҹQ#,U'Z5mI/J~.-i>β`i`LGt<{@2 !WYdrQjf:8:+bS6Ht[]&t!A|q|0/w3^}5kW7t+:N/Ykz1`|;cFI~C4*cjjrά)zF8" zEF(2`1 r$=de~# |ă1DgG/7 ړ׋)P3amHرM0⤈ 4mJaЯԨ 1bANDeK#xm*όVyٕ0DIA2.BcTi3cgt!`&ߎ9gIxSy;R_W5vQ)͂ OH-l2(05@ne-JCFgzWx Cc:f ѧީBC%=jҾ"%N̈=X(4p4knbPB3 X^6'5AX;b\WT#/R#肀F x0(~P8hk+8W|+_$R˚bGtdyA#a jtZO4`A|;[ihu@c$1Eޯ˫ ɮg3pՍ2Ogq`dߐBӤgΌؖBTѪh#8#:B=Ai|%7YN\amQ8Ѫ:+uqQ$쌜Z xɺ$3٥Y`5%._NOyO_c>`V D2M]&nMti>gA>qVi8RNlh}?p Lf ^ahN{2Lx.c}|Hz񌎥s-:_L)_QTZhLDJvEo 8Q;-ps@`:!N8:e~JuىFGh8 w_8* l 4 mA:"a8$ŨdҡCC+TWZc`*xvZ7֘V:O"ٌAz?<ϲh}Kֶ.ߔ՟My2%ԍdѺ wRg&[K̔C|K2!?qz֞TGnZ !k<^Ħ09f090o5({#<@DA`Q$Z'b2 ӿ 1H[RKJϿu@2y' e'#(&/Dk x)[8` &Ѐx%T=8o`6ŭḣKM{ 4YVayhC~%V`"pF,x]^aң}cTLiRWR+ X)(3X/sV+/Iaxj!%8a)CcmdZlȌŇ0ak>?:m*;*| Q%x}H=vM9/2KBkhK*u__2j#땋" Jny$f]jaG|:"ۖo^G ڒT#d, vC*$Lv lճD N21f0Aٿ9h/fDƁvs>KpȳV=@'MĢtt ͝D39^e8 ǚ3J-0HHSpi"5l<sgi&10c#+ ӣAd974}I/ B6!S͂eߖïJ%‹r۲tF ,#5"J6_(C"]5->Ғ:–5{ѸAE>bxj|VHU:0Eʘzg21ƒ1hdAx,]v}f.B߱T DBN5o/a#ǝՓb `|%i1:;WKD?#AIi$-P8zkFg ;qp)\3W.o4adJK&I,f1+Ʊq""xiPo>@tXD*MT:Kp*w퓢xT xq=:JHff͢׆b;3 LVQ],gJ(Eʠr 嫐>IU>W)t<(CSDlj33Pi !$Ch}BjO+4+tqɵ)k3JhʨrD "7D0nd{kIGapӻ b۠W2.W2ṵCG?%4DNOěQEOֈQ˒pݲa3em  pR.O ՌkF8H IH*AYXs}]@hqGK_mVe ]1B.BDk#m+ )CdK".(稜G^ŇmMQ 8׷OEN=|^WD˻܎5Su :\hh2;.`͕2NB/Q*Kf$Iמ781k1\lD!X+a:97u8Ѐa/uG* Tka543i4EM%@dেD%H+]BbqհlC= L0`-c* CEaJƚD]ZK(BY8X˼ud*& %<}ѯ5WkP"m fw2b)s C0H d{S6P[`i5 l3P|@f$:zTpda=m޳e&5 U Hn\cr_#;O?eC@piAd<#`.q`tlEEhx](mۄtrz>0jqC3l{* ($(# C޴2} 2 2%co7: 2@i2,h'9F'>ϛ%ghҚYncc`I榃"IB`cv c0RJyt<Vܗݢ92C= |RT/,ЁO>hs 7fޓ!8N# aled*<.C6qU[ f[LLXwaI/}>s)k?Q7c]4HW^DZP>1DCL~0$`n( /) q3<,3`=!+jqdJ`@>2LȂ#'Rf*jS*[y04ulxroA o['*d"J;j QpHL܍ҝH䢆aLVS9&l d]GOk4^=qGW0͝@3ۣm)jqY0!fhGgDg# ]g3fp_,u?>āCOZhhKdz3 4fU4h[xZtkw̴ 3\qgsQr RE 88Z{Ϡ،q1f̵.tӑi1^B4( "[Ra+F3J0EP!S<J>@tGP؛moa˔^{q3ģޫۼ>aLP|H_B`_OhѳJbR ׀D&(́n&m WQ[#Tи}@HJv+e dNSY%'sU&f&VA+ ]3# Ff#Ly3J=3+mx2vr`NH,4(Gt}I12Y4lD!Pm>^#v<Gvҳ++l _fyyI[[R:"14 0l `%ۮ:W_<#;zG.p䒈{O=)#!؎eۏ7Y*xYQo2&g5C*8wd 9Hez3Ά{ATC ƪ8c#uc8'.p.u:(w.Yp5q`73WpƝFGA)p452MmLYUJ[J 2% Աp\yǣw4F4ꠤ bnFYSHc &"bvkU&1r0 ۱jlVƱ#GPq+;3"\YkHNjWp+ltz !̓bD`6deIQ^WL O5kpI7o:;tFId1F,sgAd,+ѽ[&q\ddo氂>P> .&4.[q> фl_ơLijzzYKCEHW3 ?>J׽Ɋc;fHVCedG1rkCԻp>@2̋PT* +4Wd:_UoYx]̇cdAC34A<<^#s*V(;23a>: ̵sa0"Ƕ/)p%VeFÇ욈{~&K, .UxcܙVys ̴>Φ'J2緯.X(_yI>d=NL؁0H$X]*Ɨ_Sah dC zn50\RO1'8&=0SaӔZ~RpcL Ux}Qv(9F)c:gQș2H_qxkTxJi4cy"ѵ $g>')cO!/|yuq,tV݋1OW8v=חN=EVY޺p69 ~yx s˸f >D2A9yyE''{OnXϸV\d+GNO YHl? dJMTg>K85A$-@=':E:t׶HdTLh*8Ss#;pzr ԞHHn'J&'%'1e)D>? Kp≯`0 ]gxnbSxִ5\ԺvKW}W A0Ca'% 2'&A{+9L %qUF ~ڏM <̬0³ ё-`3"uޕ)POq1].{őX؍x$bqف[RԥtW!_Yp'A9Izdid[0hUq¡ThvDCiI}ݠjo͂>p0f$QItG?؏QD+˦,Q!ch1s79jsgu'%E-Awoge,.e2]ӡ0l^vH/bv7Lc~AFYdxVCH/Dj79B3rUDZ5j|N~щѽ/78uk yyRX,4h 2Es1RoӸ@%,ۇLj7}'Qi 2FQj̍gj F4pȜ\s>c@<+ùq#L2[ʡO&Խ|ѿeÕ)2_q2OM/Kw] ťͰ]>uu;Wdp 5#w%(M9^|E|!̕n6edeŜYrmsY˃8㊇(8u0 dF}ֳS2S)39 o$$8%Sg1=Φt' :7v2kNLINAs19J= SBH+ Q~Ѣ\w $MOlvc#SD  =aA ~ftE;axMej psqKȮh¸"dj؁j ѝy)<nA*eMa*w[|6ש0ɟ6Z؁uqEېoshN6'=(ӽP8kK FH[l\ӗ)Ep{]pf*vلB8k "%.8b>M\"8}uf rd_2SzV})o߾ȒA#+%_~񲜍ND;CJo|;Bt(]g_ p,83|:{"M9(5FA_b!pļ?}d)@z}= l;(ܚ\ʂ'Q 4f{\(EOyӒ#}U7eIzp w],2^X8E 9㙊AᏴ!Àp&)Jt<[9Ք:=ރAInÍb3| i` 'TtI|+萀\FfH@GN>oZ~- ?ni0w` u%kH1/]v6hNPɷMwl9d y+:_@m<ԲT-|Śp8kʴ6Od.BfsQu*ͽ1'EznN ۔}7AAZ-Z%̳VRϯY\N<3s>SWѯsiј޿ɦPfmvHFg`,1W B5=t 5 ]cxDYplqRo d|Y{ՌGI(D_ܑqu]ڴQwe RVS1*$ȠM'>.ɲ0p/N\a:?! j,=ehđN>#x8--W}\ll6Qo36oOeQNȹ<ϯ\CN{=9kAQwm _p{Δ?pb]ERRd0<^u`8ݘxHhG;~3i~VKkL҅vƳ1e.ϩXiC_<ìP\zQ)FƊ2ikӡ3r Wpb}hh'?h:?{?~/w5]r}x0.7:8%GdX#,@IDATdEYA.YQ{q.hG Y{Qt \Nu7HK$:>mfDgGPbP|mA"ʈb V~'W)`̐{9[{)c@D& elyTB`m+@"VbúAGi`#kuPCsR)F:xGy5V͏S6T?_s=#k![=/bk]0N;S”;xTwdn+Jw{x=NHS'= ]@ġ+#;)' 9[6^goQV(J ĽKy<ǡKXaW[t) !' c0kUT*5iU&}iCY"B A=4-KU> zs t$oV=Qݥ!T ;e hׁ֝v֡hݢFmK÷qXƒ։4uD\LÛI`Pӏj^剎 Lxrs2>W֊ؐ-64K=EaDq :O#gs\3<>`J'C0AѣS2*cJ0F嚝ɋj@=lwuX]Fqdl-fPmp@g%4%~tZݹ+} 8M`>Ʈ0_z)P+=o~WN8ej"Y?U3h%Q $x`F"XÔ"%v[tJ/\j_b Q~TE q"653C\>kihO4h+ [6!d0=oџMQrFPH<Oȭ5Fqh`)/{d G&Y~{`O1Xe( >>jA-7¬*q1ɚ@zhB'ET{EKQu.`5X0\j[BX!q{ĉ uF *YAUuI;6Jj%a W$YMPóŸCmP'0 7T'W!c l#tVۉщ{[j :%uߧ.܊bSp&uW9>C!=޿<33`伬fO2\QvٵpqzZ>0\LTm Di݋AdVT5>v=})(.X/[/V5Q(9Hg~q -8S%TtZu|Urrd 14?=tz3.x!>i_7I \4{tie; OurUEYQU2xdh C>xǃEJw'In',MOGTM`1d̊2t\=dbz[P`$t |bFxй ㏁-CFUEx;5Տ-J\jFd87txm(w &c2|aओ3v ̝C ,t~-=~bZ['sI17"0J+ akycui(7lDWS/08M_tX^fA B Ƈ7@LםhzxW,;-vU~pR ͩnf.h '<|#Ar.hu2F2PGUN"K3xD<TZةd/L =KPR׳ `*g'*=~7#.4 ᤎѫ/ɺ: ?wXJUB#LY=3Y`X e5B YTtCczIJ$!셾C\eWhBzU ,qEڻ8L|DwLODxCk{@G7KS8 RFC;DN1!K oȩ\U =$ *t5f>4, шzڞrXXR0XW o"T87DPQXrz %2>ݷ!cfZȚggFVU! n_; !9u'azD`:.k5{F֜-=Y#}OQ_rxp[k|@^:/w] t`.<*e?uFg/C(:GgD#zDN/x#>ń7lC1v3 3-[', X5Sv([rp,Y%ŅȋS?͜shq:*qZǐ~t:5%$ r,WK LLznQS */i%KAċ# *;liLoL@>86/t􇣯>tq~9$tw iZY SӷCzYYĪk0|T3H_mfg=E#\$4gg( "i6M-| <J~r q |RSD g~, X-].rFo m9 )S)>/0_O""24'@>KB q& TG`6E#mZ'w\:+o_77%ZôUy^L@aw!`w*=vTaPaLum˂ghr< u۟D8Ue4+t}7|8؄KD{Ԥs<:=VCRcz;ۋ}g( <ڛsnS?Y_X VXЌ†v (HX&~ K%@5{Rܞ' eQp)]e%MT'*VSn4"ׄK:"?;φhL;6x3%%yѪ?S-f=.p{Dwlc."dr>R\gD8DA&kdܭxEt*30WF  A;Ҕ=hȦqІd~G?Y/(dъk.##63c?qYCK۷/P(tfd|x42PP>s[ND`PڂGDv|m&H;u߼[#BGswqСx8>L7aT*:Y0 \G/}c:Ì-5QԸ3#ϹZϑ6Wp/[9[c`e>4!pVuYAnX cqN:om ͱIөۀW [ jyFVǨ!n-~`[qD.l}Ǭp QD;"*_Y^WSظ5EgN"aGbjJ]Z0á2#@fJ5mXa=>_RoX4Agy2S]#qO bw68wn)?ߗ/GtyL iMr5ǾiښqdA%u_ 4;:3V&UVG@ zk+?%ƴJ'[º2) j1\.sϵƴ7c\_є"Z"XE-&ZV{` |jQz0AwFFY@521bx:T|F.˒>lI. d2AhY ,TBVv42$5xnd@:( _#>,E`-rE4xB@R<>tvMhe^Y?#Fnl+_''8 A*8#;aF4]9ш&1kZ#iUYL@mW?.piN[`8a4 :ň]? }6pܜg[_^QP;O  ag.1QOߗf7 C7C, /E]#7w9okY{58g*D.§ YD2yQGK,aޭ00%K7`+⤜٩ĜǸIdP_Oĭ>s(E 14шQ5l2_ϵ5(K@\xP!HG F0c䤡UT!(a~Huv!$O)v`R F"µ0L:A YԦ~Hf)øַT 3I塇7reVҋ.d=A3 qڜ!Vϧ3SM%(?@Ox! _`E0:hzVxahQ. \eLGW=.Qj^…;~D k2 q*C`:sͰH8{j`Q/#2_.*EQѸdyy0|Ug.{GU @Y9.pfY,CR\T* ۊbB$1#/(luӺG=9h?§- Ζ:@'?RV.5ѢGx#[VdWVu8Pg4}PYNK QRp@Ҕ)t\ L`@c-V25s r˜)*tc}Qv_`y3>rIPA8z@}pL!0 W2ţ!/}tR:Z@dI]%6pW 4-.V)ϩ{AY31B'XęGu `ap!7\J֙ɈrEڝ-yw";<7W,>z_ 0 »~-9":[dxڎA7N-+& ^\q r࠱C`}8-˳Ҽ6_;#;/ڠ:Gtv| azd/meڤ-5Ew8 h\BfC Ja%1s@JHhF\!2bޢi*]#JԎS ; jW\+ Fws+8Q=5 ׂ-1aD= J&۩p0RgUL*!5f⨤g=+0JQ&EF$LͤxNbfe? lBpkw>Tv]w݄f4Vxj 2e,S֗(#ѵFNzFqn+ŝ o]ZiHaGegYy0jFPݿ;Qc?tIsqs΄P6+7ps+n\ 8Khsa<Np|*l{h/2U@"-l]Qs T;&2W2ǙZGp˶< 0MܴA𗼊tcqG[͟!: 8'q/77^$+&:_|_H(n:N,"X҂Cam T0X_ڰZMQP;33w!8~L C+ )~UZw-J3A?P<`D}*FUR:G+J$SWft0z`=SZZcǼDl0P1nIPo Uo02aJgVI;.i JӔapEf~2|/W=byz53tНn[\qXbºl-π3!~êZV62e NTݧ>70e!8t{! YE_̒Y ΏэP'\t؟u9DsbŹNT l vhh5.ڷ~(8Jwyf8qhٱfrieL,5ҏ0~9ɒ,IqWiÃR2:g8dP5pGѩˇNC< X| =\x:br :Ⱦ3Yi~EY^p?2{̯l u>?gPRĊe6s?g )EmIdҊ0rJU+a1KNbL ;an?z1OX"riZt_"^1p_fڀ4x߁tE+_UhԬ1QuSflL*}QXΙqɟV@U⮫O7M-#55*=1Qx{0'~;/8H}ݵmނnCH",gЪ&o/Ow4`s N3GJb@1'T'~' ~|FwJ1ኈM!&jHOE3cvp4p9@}#V!j*ܷ)O$,ҷn0n#R?VT9uHhk$Y!4MDp< DU^PPDŽ³.!J-ߒg}=s0n 1rM߿.1xuKr c8JNq ~r* Ϸ2Wsp:s`SK1<#@-;8Dk?\JOe0?2<)Q"SwdRjQ862sf͑K4vKsf ba,8+ʎ !ڈkf=KAT6:ʲ p~AgHGYB<ÆDj4ky'lY/S(}[|l#Mj8f2{/r 0L27X5gwF";cܲ{fG8{_Y dd`jd2Kޝ[U}c ņCQ{<-~V>3`Ϙt'|z/ g{bǏۗǬWlrV,s΀A)c+\LT#8 -\5d0Jw@p85Qzw-b%^4ʓ: J/MyֳS u$42P /b: x }4(#5>AWDU0LI4BM CGw& Z*ԃ (^\/5?v#(œ@s([Oq3;Evy~{Q/hsf k Ƶс#$PRF&s(PfUe%.- T99 Ddt( F#aʞ/൩ wç:2A&oBUhj@%`t_3gE=e*v7| g >ËB<8PYޑG&Xn:}5Wey>.,=P3^7?םApDMuWUz$/B8;,gJ.Rp=p+`o lxڝW?rI[,HT  jxby=˨Te]&z 'xy d@tCw/.QðFDCfHPps 2 Mko=/zPcԴQL"Iyg~NU=ptj 1G9]|~d9qS[)o/ .q>bv Aa~o+ɞ׵Ơy.Sun9\fDQ)v#ﻜJ4O:r!:mԨ-(4p9\Z΅_̀}ʖ>Y0&5$mS`:Z5.@0b)fVDIг_:":Ssu[h7$ǸS`7s4Z3Io+|@5)d4ڪ>i㾗?[KUz4&dYEpG%w>Jҗ*ڮeMYSN0~GEX2,c DwP^(wpPy n\B:EQ.X,9^1b\B=)&*Q8ʤRLVu6vcgrorl)fB $eǒ%AQ\@ OgN +Bdb/>-7z_>ք;[+1dߔၹ4`uƂm p6=ɘ31" @S .ѢsT歴0[%z-8w_5P t  _ô_n9"j.$bxEnpÑyЊR zGx _Yyuvry=:]]5:GE]Õ*0$|4)>v2OD>D_B5g`<0_y%Zs+u@ WikBNH7)u P 92Q^bL1'|?syTaFim>ȴ`0 7w b7Fu0wycMoH(.3S~)hbWKP3ƸwQ`a/r?y&{}:~#|#_)#_ _+A}eD-w.3vfO}pd#VROϋ%-QaB0Ր\!&9M~/{Y'Z=̩h@ ߯Uhgt$dP{ЦSlGDт: 1۸}{%n{}S< p}+kEa+?tsms6Amsεvt,V/-0=@3)bChڏNh ĦDS !P ;_Nꗈ#"q0d-GC|@\ݏ!n `gYfj Xc5oBU"_oJ b&qb!\P!C6Zq`^'4)_cȫ Kc! W@M^H_LSLIƦE$4 **jQ Ksah` wB^Z[#W1yXAc;u=sU]>gi"}U/_E7 }Eymp|Io 5148Ob1"lKy. ?7OZú9n'',(YOt/e*~#y﫶9m?:E?Rן3l6_wSxI遣Ì?V VP: W{`} R<ۮ}'y){kN2 >^VbѢTPрN|5{E(2 <mna=Е0`8aA{E@x{×L,@_`u[ "y[Bh}Ed"|#jOш%zT#_fL,n)Yk0z׼ך!/v~G (_6+lY8к ĝhIkQɃ@1pF5'i(^3{(`2>PLald"y)@.k cCf?eh sm%_4Ld 'Sg/=N)I1%|4Ƃdғ98HB>`F}Eno>~cOTq@ !r~J [=Ə 3р.2}gx_ۭc'\ݶyqu4 KۃEp)W⽵e {0Zbh\ӹI^wg,)3͖2(֢gMҺ:nM\7G霝e^6 `u/( AOh slD 魣Oν umCRz,5`k]}0dkUɊTMOWz6 dcJѲ0KP%8gף\ #lC-޵Ϸ<*_nb;'jg-iķ&C+1uޥ|n`F (DRw0P0]&bjpN{X,j(G<;Ì‘փ,<H@\|꾦KPL~yyZXxp- VcQStAx<骢ͼVArQF9ִ13XSTXc$N=9ӤPBa΄cphR//h4EQ;)G&h2Py6b<'4yTڎL8֡ :_~i$Kw/* DWo c}Z}ݑQ!ʃ U޲+hoCġydN蠺[5 ,-Ӌ Fsn^} EOs;B1FEǝ18\#޶Ǐ!,l l]L!"xڒ^aNpzeRRR4ܜ'Jy#JOC!b@p,RCEO]sB0O^_E-it#:V4N2sh-dQrE?-:YSіl$'GŻ䕨etXLsŒ1" >7=:rdRd B@&9֗3tKݖdոI1؃'(2Aq,//sD}r6C{V4-AxAN-P@+.;F1Ke~~K.?#a(tZ))(1FTFKmu Ʉ#bOg,+8*&TU/`U<_yw Ђ}b#Y#DG,JEd=yZmL0Vn@q-̄KKB9v!E A)J3Fan;.6EM) ߥ&"`u-u"01f H]ģx< Lg)mٶgkX~R $:6[t1!Ӂf5U_0qSgn=)\ٸ϶s-މ62t$|@UDe_=Q3gfNqg7i̹M̈́5"{)oZ^e{oem7Juer%ssbdCW6Oe|TKק_^9k"^3p.'x@NU@C1ZȐ0wMLp0TWxHbg b.#^CR;aףPh9GP9Z Zh2,l=xџ~$D}E:C$ 5c1oQ_K,I!֘Cg%\0Eꍢ-/^|y"&&u"[I ֒-FA`lmC1v#utNIs+ԃ[lg1ȋ5اM 1l3`l-\0>U+O&.`Jփ7dSΥR&u sj64#8V=6԰yϒaN1atu":\79oi! ww(7H=h: m3t/8\}\Wm |k 9.ve|sʄϙMФCx7!/nʺYt)i"ߞ̻1cF,|!dxc$'(#0@Au:A9d M@ -c\ TcSYA*0utU&/$-sctw!p1 ẓ;޳)KO-s|2Y ܿ@zpo'Z'`}5jZU #J.0(ҰUȌ)aeJBvQNNRHhc;ןNy"HUW jYA Or ߃` W]?U3r}7Yy5ukOaA:rTBw@),L#_w3/G⧥o6W`9ZզWK]|po!H?Q5Ȃc\IZ}ۼ}}[i]ES+sFNJ\d%sAv hcQQ_碢Ga9!-X@礧Kl!+/ӷpa ~iUF(Ƽd??NCSf aŒ 5x+X&DsYBV^lnkښeqzdhM,9SkIC"~鋌qʱR敚R۸ߖ}0H<)0IGcl{SXXOƻ.K3OI`Kqu^GP F(|:Tr4@IDATE2}? Hv4*#͘RWwk3ϺbNK7\l`:ytQR`c>Ia ̖OwBWu8/ޮjCwB ZM M!3Ki2fHJ3mĊO< `+L#7iBxE Z)άhpgRN[c͇o[8Ŀa ~MLaK[e,\&gS#Lx9 uѬͷMD̬Y7B SDPSvh[ƝBC\P ϢBA "䄄"p_y7 ű OkJl *&bՍ5(<0f/13iIѧiyg[ITwS(&ds?n4()&k!b*\O\&]#AgXڼ ?/ۀQ>::\+"W2*D|F1 ]wC;'U'yuZu軺Rn'W:ɓ9Av uV/cyB4j jh9 iϣH]f>A. ~c bI"ʈ^Ego+WQ?xq£9yBVV7u®uu O51-PBMzHP0Fd3xK848yEGg9e&vt !Ia,-uQxO>և|<٣RN#)}B ^^Oэ3/#P)1yS3A ~0{I#u=ךyvB elF9e at E&``X5'l7J W^>x 2㲂AEs-3#!1lY|KqP3/Ĭ]go=I+>2om-F_62ϒ/co@WN7䓓W8uhzL\'S@Z4wr2N)X.z:9KH3 Xz/ zcדx-qC餭_UOEwJ[׶trYP1_C>S?΋4w9@MS!vuyq s P\(tk 9BRPE@0,^rGYH1^DAmHVE7ݏc [YSV!!O+!>˚1^=(&u8yBcp] $Kv7RL,y@2fH!%ԃZk2/ydSJ7!_d}bpslDфx֋l[SL@%/`H脽iL{MN7⻛*a((`"Ÿ"#[E|HQPmy(?Mla<+a1=F56 Si1ucT>T.긯Xji"ۿ钧NgݩUZD/뙽ק[Eht?<~''B<.j4aMsaGjhc|E)ºju.zQ-EI~=~n L~^4 {x8X3ϝgEBN;΅VjW.w\4 RxnoqTG(th;J-d(@$_8qr *Fxy߲ ZEp\X~Sts~235B do&I>MhѦ=YcX|M/Gݴv|gE `Rrv2v^&zoHs0w݉gwpS *BEVRƋgUSBHz'CMƑsCԕ΀#2G`ԩxssIK@iSTrzQr 0$EiK^i`4vf XyDnk$g / 2@)1d,I+]_G55.YDօ`pl,>'CDI0.mfiícE)`7ɶ3y(*wٓ ;&z_3=okxG٤)9Ul.~tZE( BIe%GGFy E .@# ajL /H.m[a,Ü3svL|pxJ~|BА o#-5vǾk0V# i ZC]kL %#{gD7@@[~h+`D{G|!3l7L RRotYh3ff!vۑ !v%5x"dsNp(_tΞ :F\.Md_;!tA̼.{ZKHU?VJJbn%cFSPWK(jh) 7Mt>D|5 ̋%< {2!W8hRQ`a1 k:"[8$Hѡ|7@1bE<~U?X'hjcuNGy]q\u{5]&tzROm 7)r yYB׳T.iFDxb뗯Vo^eG4FC;sQv'js|tѭn^)xRpɳ'ORƕ+4qkZ?y\(Փx Ԇ@*F{v]3x= O&k ߽hIS^cA昡h;뿌F&?Bƚ% ) fCs3vXьzٹ/s(6EDQ=D[C OHvaIpz'9]-r/,Ѝ9a%$(ksG_RRluy{S:#[ܫ>{ұ8Ҙ -pQRK9ɑxqJ_v. _Rz!A/"rSԘP E.J8QxyNb8$^9ATӾ 2>fq{)50~a5Dj%SN#$mZwssx惇gO::v^uIɱ\x(h1<./y~qꯞo^zS#Q"i]p7Uί'`;/?wp!y7|ډ_kB~Wg*A-OuEmv1@s`579 ~uQP-5J7Hp'bى(a,&n5l3Û"gq&z=Q!H9#P1v񾈕yȁFRmW:%:O1=Ba4SIKql L9g|4e$8Nq z8D7ƴ9M\.B4K1iN=y93ޫb}'TX349<3݋؃`GӍx)m2SB5'P@ ˝P:54OL7HS-6X*YɩɗXHkS./g6j1 8^7A ˳\giăpz0t2%ϟ̱Izmw2VF^Ko(QEG tSp6 JȄFHr% -_Ţ=)A%O~[oul{v) R}svz&έwirx3t^,Sa:ܼ[1#^e37 I:85 朣B)n%dĽ KQQ̓gv4Fd[BPo_n(j/yH=QŨg)apL # yOu&ao7G05UFg<98ozE8Lqg-=Q~w:'[`g`٩:c4.[h\7MpSp+C Jw P^V1)xSߐZS>]0Yvk}Xc?n~7Un;.繬Dd𽔋N|7OW/^ @NϞvo꿽1%_W2ѷh<~ G+F?v7D\{uw8/ݸsI|MG_ORxN6^#198dVpHN&@ڧ#"tHCDZO~3Jxlj8-xȤclGwnj韐qQ4GGmauB6vy%``/3<uhc5LwH Jn' 'M9ӏ-z <<񕌹DcfљA(dB1"2D1B͉x qXz!KQ oP2V=oo}l'# ,AGj= 1 $10 mS11Li䀜 )Lw a0YfVVB&)y%N ZvQ!.}~5mE< GW2.[zOXY_q- TnAAJ xf:zAEmeQ^h2n~ƌŨO/릆Bǫ9W5?8N?e$VՓuz8] WQ0?v;mjW3^q'nӫ׫dlkg>(ݻ}PD&>?Xǟ?n< 3tIV2+tΒ;)aw=}dvM{C`vgoó4t8?H^:(lE7ᩰO}(%d?9ЋywÝ J Rχp<ѕ'Y\Wh%Al-,XfAdCa4!oKdZ64"ò p7llT A[3Q 3vg|ͽ}lЉP tE/CLMB< )Li鸀Bz3~0La^Et!u)>m^stq )&*d.gUv0]0 R 8g1B6ku-YR"ׅjqBnIPuJMM -&DOkV0vSLpCfT߹ ^~(oid4R4xgW)<~%3GEeJJq@z)vܲ$U%uY:͹&ǣMEP=i qOy2hn:tc>Ń\bQ2r ޓccoҫ{F-ɘz0䒜16ѽxፐG5Bd Bc7-qτKmT{KŒ0˜#B30G[N%sѨ\/;e(9בI!6%NW1ϋ(iţSsJ|pqKt?Fa)gŭ"X[^ttm4M3JL ᇝh G`}NFO.{VN#p9!~bEIg CM6V%D`Ez5ʾXO)ѡ|a&N(g0́ ɷeQ7|e!#79M4%~Dbf,".m4}gq~zN c[I ei}Leys?9rg Z4=]sp^5S6Ga/49[| Hd,{f@9E>1nڷ-cDR'}t fjopagBRxJޥp[$QuJE ӄN. ɁbW l+70ClJP:dX.SZǯmap^RqjS^ɰx$/J`{ZUyբ|c) 4N&ٞ2E.!C7 k75%\w8B4r2#i -)62EP#HSJ!8w~xÉL׭:Q[MJ7anTػy8 %d\P3pOӞфۆb{_D=w#i'u|F+$˸U.t1Дt C"䶿;)Gvul\q7+WWw'y_T߭9Qq^(䪟{6;Z7!Р3k(f>_@Sc,X }3F)rpE#!gpeU^f\]i|}֋懨q )@-so=6K•/U:ZFb}E U]>C]ٳd-v㯃G}n0Ѻ[Ͳ~_F\1Yo3ErYm|:)Fhp=h ]w/Nv=p)͎4$ ͑f6S3vGS?_td_ J&<IPy^Hi SxnsT01km92 Z:|(5B nZL\\DĄ(>\@vK=;љuX Kyn6؉5Lz v•U.Q9 '+U7A ;R4DEVZ&ϿX)գoW?&ř|n!٣NiQsӔ&@?T©tC]Uq1Osٱ؍{&:bL?+#=C'c;: AR>ևѤh x_i_\a탫CơOOJp%fk ON$inkj3pbO r|uE_-{^7'S<)zF1ak_SCлd2&h9ހ=2Ϗ\5lMU|k-Xk f$\ ;+ꆣsqhzx]S娠=oN^k\Rkk^v7؛krÉV.&B~/ۼpy`@{3F}T[Z# Kuϸȵ߉4v[BBk՟g2k{x;'oϦ*sE{}xrzжCZx6oYǺ=.ﯤ![P9򅁦 c  $jj f^ %1vn &F5"S2nZUD V:ɂ X1uT <'SӜÒc8 ,ֿ9ZRX[ufMC>Eq5կOK f|.1xR5p1ܵHh=Mj#Ab~f%ńT QU~#6M\D"ݢ*;."@mBJd1Q+ X,8wnr{ qKFk$x/{-N7 [ZwHШhFs4ӜgI5>8J>nmg)gbvܚ~w߯_Wg)6zz=jk Wg.*31Mz@*JZwa{WxKÃ/TPbsjkCG&7[g՝:":%FUԊt tn˗+,-xR!N#Ug:б6)ҷ..4< $:S 5Ddtd.N~س?"r*xNlgr6bD*)h!.3_[ŭ'ڕFG"IM:w+{U~lyȠPj!/^a3"_ }hl2<]0F: |#OlOmTʥQ-Ր-6z@>adx0jevh1Zm1j7c0/rc "4쯊䓫0F;Z-x%s\h9%Y=ED^r@+04^duzp%U:Xd}_%7fE ټga1b]Òrx9X*[p CAߎ=Qdi٢XC! )x :Qά:Bt@uMV{wa ] 3xCTA* yHhv"XD`46`S^=O"J!Ms eZb(O{ l%$0::u m[訽\NeM,xxFg r7{V#}FKP6m]$8~&—'~-4ڬ6'LA:B]^}G50B{yZ݌~[~Qؗ2`tǛMED4d4y_3/5zރ0pv̊ m˔epBOx"WsO+cC)qWjiA$2uǽ{^甗bNyLnËvjkdN<.ձR*>F6<o!N^bܠ@1UEQNf-xzPi|>c~^<ݿO kzLD+p`mjuo x bMPMUP% Vsh` 50Kk !Akn߸>1\S Xxø2ԄZ4Ρ" ݻ4he?)2y*tRKa0{}b=[I9^D5熝V(;ykXΜh^dGhb ZZfJ3;ca,퐎z6>X~.gg_kJnU01ChWg,kKh@nvE5ĎBޓɥ^' }!Jj"MB񊜆pvL{8婵pVLG?v$fR(<4@ԩ}J4VA/ѝs]=˘2f>Y65aT-F#O 17X*'sܡ:^>:|1$1΀o= - aQݦ]C$2@fźG-zzb2e=Jgy~1|Qxr"Ն`Һ3g+X02&`fMx LZ|ps*!ECm7xރRtLVNrRHg5ԅ(j@f 2sVkْKjҩ 2~r>*en(^}+*iO &^0lX46>];)Г|;Mٱnpȼ֯nAgux{RA~y6xpy"W ݥM{O")6D): #{4ǂrv }xp~blBӮ>TBnv ;V# }K20ϹE{"Zo%`0FS dHe& j(scoG"$SNC(#OLۧ᷇Gp{ #`c>J)^/ft`s73MQ\qra~qj_zc"Fp$:VTc^/kszw#޼0|CJ{ #>}}~o bQsTi_^2T6Þ\j/~dp{\K7\ގoz?oKTâB?|h>%U${ ytUAzpѰs&g@ZkShp V$5ۻmΝ`^1IxرɽuTUN$.> Vڳ.ythS, xt?v8{~>wϫj&+P|aaZW7vшo= CI?d5`XsǨuCp:i5SDR~X4x2/O8'gGl9WԔĴ ^^!`u.O% { g=7CX l2};afFR̩mC@gd|Q}Ɲ|k蓞q\.g$4x3x=ܞgH|C`!O`慂I5K []j<ᴙ<螌'-7&&WtZι4Z8sh< 8a!l|1z% 6z9o;Ax~+P.G,^d`]EݞӦ3nS~A0l_8 6FV%МaޫqkXnxc@NOĨO[Sέ1ZUn}E@甊#%ʟC .dp#Lg1XO72( juH(,7țfj{=C %! x|)3&}@WLĨ Zq=_bx1)UAKr6[5\2Vyr=ADc֎6H(t!`7}fr'9&B(1zK9wWQa*\R.O!;iai &NZ>."W.QG޶[tǛ ,&zë)ۍU͐iC[hNDn<q0:qL5M@aG##06)jl,r|Q=OK|Inr>`Rޗ>DIA1MrPfJuLc}NVLҾu {:'yk0}= DsUpnRh\Սw.RBuԨ+l(\?s"iI7c{ K$9 Ց!jZ8K֣2,n}/ EPOxbNtI{Aa6F(΃Rnߗ(3F)ǖy ~{b5D)^} I~jVﲟ'$Jxj'zG[97C|&jj.z b:z#"V9"(a@ LIཅD=-R",q7фrgaVs^k) }U$cSٚ=f3/?9|cI)MzWe$UՎ y )m&$ⴚU>Q6X}1(̂d.:BsXr˾,[(JYMgw,o7 ^̱r>JUlի}pVB(#z?<:ZM:翬Pe}w])կ͇ۜQk"e|>o,"ȃq՞qh>8wIF~ )g?nCe7MϟJohwVxX􊦤&nZp5hN(1/yq7Du|U谵f2 afRt92L'S<>27Jb^"(gKm1(iE;gylU/nljN|O'L&}Y f0?kj-ͼ}(#Y藇ݖJ]L %8Z J)m o޹49S2 - i׸޳Y X>7a[IO[D8a4qGNC2/odڼى.ﱁz^GhX ~gyPeNy@?#ɴt6kr< ӀD-C]8<~ZmO4̝#Y›)1'i +O#rv`0V͇ @[Bg?!*4a-iN[s3&B.%i)Tќ CwgKuHuuubKt9"h<7X|YPXIbfb_ nah;nb,闆y8+[La Q}0$H>wV6O;G'k) C?2iρG/"?qs:ky5F[5!GaVG*~Б[[IG;7 C.ficfO zqX`vbD5 oL̋D-Su|`<퉤'0wUdE N`F9'$Aqf@v cU{_X$yX UGA3gYKsk1)E$#"\Bݜߗy W{P] w}bnXyKV8Ky\TeTzB}X/ qγ D9WSOV_wJ )ZpyԵ(ʵQA31qM>ըH'O>땫GmD2®(2"wzI 눸^y"}( .t8d} Z#' E &"ԛ0=j5w=(BCDZxŠn#3Z\5a'uOkIٸ-)uD뭆wХCG(H\ \;^t-[?asqnJK^VZy!7)|1wQju'2ժOѰ^Sc(F_ҳ6Пc[0gGf8uq8$z=y Fx'NR F-GF䕧Ͱ(LϒWˣ噌]k?}FtXQmi0{ 91Dy r5vr;l)+ڕh[/_Z /jf9iA!X$bv: -7![mӪ—H ;_xbVMFIEҰS= 蘭ck :P-*5 vX>d; yO:m/1"N [aJ(#0`Ք*{A=={QH&zO>А0+)Ӕ\].!Êe\7&*7a| 1 b>ҷVv@)HL$"cPPx"K 8vHX~!3 WIc,5Y#pf#6Bb"Xt yVN:Рݎq 8`/小 ]pr+ޣ 6=7 v^}_=JI1dy2VWpsыv[(Ǔ]^s{f\ lG7!*v姣~//_yOA ~_VĀcjD梨xFG߂OWO֏KWdpu8O+@~@<@BNmi^H6-{_`h;ONxW :HP t,csxz|"gBatz#BBƃtfқx9:'zo؈)ٷi Ո!9g29m[=O,[|P^j/xhz&ixL9c.T3E9ւ9S,\Db?cj/)ԣ&V{z|Қ@鄠5 fqLov 1g0B)q25Dy}Gs ˯th 㽃X0tEh,ClѓEsLFNGȮg(3P mqg !6{ꙑ;P5s- .9D d~n#3CeQpnkNK4=pa7 tjd}rnA~c1xY/Bd}a@.oֹ5N+oఴ`Pљgzt{Sҵc˜)lf2! }Lw|Jk1iB){/Kޱe[kMg56G- V! ºPK vZj]MC8ν =}Sڮc :@`0TY-qyPr~oT\)h~H*zqF )"`E=1OeqXх<4(ie#J#=aY+轖!D~w $!JrP(Ȋnrw9ݧt7<=g3;w5ӈ=(-ﾯ_ӕyYӷ_t{pwVo*|zbs*~p &LAp%];FxI%o;ӯ߽ß _~7Mw4OCJu}䟃|;+.sR)Opi[3: ^w, |לi.[T7kXb" Oڭg 6H cSXռM0/Puf{|H oj!EJ%9XccZH?s>/j Rp52~јODF>hEˢ6Ϩ >Cb0V6r\̨4$Y뭇7*-T;Ct2f;a 49_WQxbHy4;b;d-$Yoy&YSmyyֺ}-==gDk\!fk"AIAN*0>v>X,!k$ch Mj;S9'SXWOV%*F7L:n#Zʜ<&mf@?=I.t`C<Wili&O:)qhcHp ]O1/X8VP~@So&99kPz#ȋ Q6,V0h 0-Lr2h B1S 8A&`D}EW5t"8tȒs)k.H7VZD9<"ͻXKg9cǁF@ CpfψZv#.HlhYQ?%C;%G1Mm) 6r[?O$Wx>RkR]-Cp366|//FqgdR(d"/0dfč{ak0vHlS ؁~ (8O:XC5|̧&E(gH$mp/>(Oa!)Ljظ0G zT衦5B 8 soJ.[,eS^Oia="(v+q\"XYj%mz[ݯ~ij>ļޗu%){Vom)@lPJ G*T`8I;x]cL%Uշy.BEg|Z-\50^w?W'twU^WkNԡ}uZ`5UY}?TUB ߟއۜ,v`hq,HT#3Ŋs=;B5cDh: fU[=14/,aPLv#0ady)᱂ָkWOyV(ݭ8%`RsohK׆D')b$p;KnrgLqu(JT1N*=+̢_iRܫj>CES."DѶ91xK+h\(< =+lL+x':.!.T?6#6wc5<&?c6Ġg,i#a~ѯ|*Kq=k ^G5f6Ϻ/SaQt\b2ĭ=c,zi\ն![ |?\\ `|aY9o];ƨٖ g0M_~_c|# vuD.D X_~fZK8.kծ&4qyܯh6.A|c4&/GӉ{Cn-Jd'[YX`ģ!ͭ][ !dOMSPsAhI17LHǢT޺uZ6v;D#j]ݵv )hy4 @D,+D՗|X%z*F>-9n?- ]//W/#>Yd7?f9._t_"Vh1w*}#8˃ xZgma} at{qZpî,M[n7<=W~:VY8 UY6}})*ZEA6_&;k1k=4!&0| R^JD3' Hԣ|:@Nj=bAC8[Orw#6f|)u2D&Jt"Mqs-٭bcXi݊G7|{?0rH ّ[x%a#|Nl;L[0j]ZYIY 7%! &?@kgVgy1ݧ` Ȁ%t)7e{B/\F\cŭxVvK-@ hl? Ñgx[%}8Z 7q xϫ5ݐ;!-|NId&$|U]=oޔ;ZpQOYmt/V~y9}']I?/P}}n`xN(,~/V?տY[Ĝ䪜%uaJfڛGߋZZ'-%xX=c67߭|M=z ᐇ*a9-2Cbnx_>DgS.~ۢ1Kxr{jDUN*Nxm;^ψWCv`4MiU Nn3;{Cp;ZPZ>ƃoR< [8h,]zjv>x \kз5ZVe?HYiNڵ-zMZűpQH\)q OJ;L |Մ;kK5J'myxvW1?e0\Tbܠp+7VѨQxs|8sW HKBw-Nió L^Ǜ<) / /Q#>c[`>lw'ԽoX,?K@:0N#F77Y,Er"ձ~9`6>J Ĥ/&!+k0Ba4B5eR$B%8e CCc1ke@E5pCBn)9`?n B6ow'(ᄝ/Jj+il_q/Vq1G9ׅCM>]k 1l?We+rVuL:I{=Snw&øَI 㖒[1<])$ϾxQ(or8[VWF _ }S$Qj$p4w * dDJ})Yn}Hou}ͫBy$ 6IYbE]^Q1esv(Wh9l01y .ͫoI*v[vO6'̋3I [Y n!SNbM-ƌtj̄à V".=-25c]^a1S)>rWGR<?$$G3!WdD)Ro nM@ ߦfLϓ9r8f}nS,| v1<&*Ar+tfC}RN(c5?^XF $x@%lN#9ŎȆ[~}?r%59!o G70'ai`׈yZPTAvkur b\3 لֱq9=ԄLʹE6uB7\$g!ATX,\1ĺbYOr᪼P64|dEx#ٳb\=zfĬr[׆#&P79!gn!ʞ  lщ]cYĞ %e%fFV,iƭ +E0Ae$:(0,qyІ,d#ngwYk vlh 'nIPK@"7$zv7k/*58M=@MJQPGl~?k5!ul4 'e!Jp6揄ʒGB[``PXf0HQbY>d lwuō} 4Ag#"G$#(!+6.TlUA{ K%\ ɶof~ͫp/71죶e$]\ի\Bk~pqܭ޾zzYa(nnw擢qP7+nyp[1MTUST(N>O;DK {9zǵFj bpi#h jO3m'٬͡bRqvޮ75+ WZj.07aڅۡЂo}iۉ@)tgeM¢|}t@(S_xjnD}9B5yu2[Y5\47c2aq7) ?Z@gbp;Z 0'gOy𲖶ǰeLLnD x{>/(ٮOE,`4 MA0\H>Ve7ljuS;7 7`VΗ nxbP<ƒ=e|Wk}c x<,xry+^<RH>Dp}A`PƗ5Nn=Ȼ7Y!m<,\'1GJ]x7oH U#Dlx_Noxg4G \!GEC S+N;n~ ؁)I@j0Bdմxq fދLe6N3Ř$6BK!VO5!FMܶ@h70kY;=$Ũ!CiK qmނ[Ob J[RXE٩5 Tʴbg0Wf7ݜ\ LL̹fdDI賤N0ַɅ$g;ullv5n2j%*ĿkCn!_C3KZ{K-^Ȃ"&j0U eJLwCF&qR;\ܴ"О]Lц){uՏ;'۷% XǛ\t.7MϫWW𷿈wN΋@P$~|}M '6rq]ՙN ޿/ ,`LU;lK/ 5 O8 1ЇޜMC_nKPJt;~Q=9n`!plZ o^$4i VxRxz$xŔF={.0ᔬ ?O(؋-ns m::3e.\;xhD):n m >Ñ.m1OZFxń'G=SІQߚ.t4<н,g֖{’nrvs$ 첢 zF|9 2 b]sdz|b] C{ R<ZJ9!s&G} np#2oXm)ubK^dXueaBU |ey*$[ӍV%1 ۀ ^s;xӓX r=7 O fLnxmYQ!It0_~4CwIq{|,<4;HDhyXN64:ɋo.26aRaߞmˁAjP i܋hhs؍LԊSV=m.M(YuM3{kڄ%W&ԥ,FY,@ Qh6-h=b¦zm}-&=UGnU๡]G`\a -LM”897ZɌ1Nmz:.`80ˉH< …xg2]zt/TRJ{z8M.œ",Ib-'ʚPOLo}bHSk}nj$[1qc53#MNBƄŲMLoX1^E ~X(Hn͍3K8g˔PݮgC+*g+e 7ObB[ iDd׬e<n"6r~iԽӳ]YGOO<_X%nbװV^_EI"&x\ۗj8y@1BB:7яFY律L2J zV-1/8 &zHTq`Η#[wJk7oU0g8Ӯ݁ $ Fʴh %hdEՠP5/ec~v(F]A|3(F鄋}ox N3k<.}Vhq`wvwjճ4<) P^˲@36&|[l2h^3yAA!"Bh~u\1nf5@:) \9 V4\ګ&iscC {`Ss1oecLƛ! D g] hiDg;̥X@J7ƹ%nm*wڿ)bDc|}!2\ oNq4(N-!gYGĘm7#˕(\X3un+暺FZL G iμgvElƴ!X,G bTE5cpLx$ܝ{|ʤ.\xz?~;^/~˟%2ppaJu#cRH \MUj7p!3~3T08#T Qw=eIԮ+'^xdc'|Ȼus,77~JXe&?@jTx$7x5Ie[-x뮦<]\gPGw|OF!Q~7ųg +nrR,GQux@l{22rȄ׿KN [?57kȚ6;xorBM;fs1"ѯ~DqY1L j $lGywvc:l4}^v҅'gHn #.<.#Úv]ԇ(MdߚCm !A&vSLrWĜwdW@,3v! bm&gBn{EN}{8(GW_o\z GA{?4^Id@$кYZhIJ-.` &IB`n{o/bo TpcC1u(_8BnHI_k.Ƣ%PKqyKyHH >w%C XK3]q^ ᱌5Ws2oQzF,I| 6\LɊi+rq3S"k3\! DhMT3$NτF09 {12ܟcD ؃Q$8}T"q{6Oۛ^$7R2{-/9lOjy.z (JZo_laogifsC?O*>Z%s ;LіAyQҸ%ZEj)v燮6Ы}c" kTiE$,]K0WׂYM?~ PLmH0&װ2$TfJ\%38OX`FAc%R%^l^"4V<!"3҄t2jx@ǤAy WR陏 2JxRwгmmxjG*\S`01>ިx+Sνȶ>GF1䌯t Sԝ~3\ƓZ #^㆓‡dC%sȄlr IJi Z)y{3ZK[ns.F^y@4Onv?߸*3׹,\E&u/hp!&}8Vf0WgB;K|P߮͞@ݓ Q;qF$.h/!k+x."'z+stM}}Ʌ]c]X*{> kaRtTw&R. <k1̉J# ym1E,U'`GiA=0aCs;c}0mG9_e_ s`@IDATsB aT8֯jCf귟)uM4ܤtl$v/XPz#iQgx:0PDFoS*:u] kBNqQyW.DV?dYASv7OpMY|ڮX9p}, ΂ƨߖXw15:zK޴/Wo@aڿ:kѓ\|}k/߬o|7Sj~v2&(Seŋm<$W|J{h /b"1emdʜi(B, ϙ?n{B^$j>. ^10(& # mLd'HȪD} D Jr'@?/e Y[8 WBƣ>DŽ!踯i!3 }! NnUx@ kxd7EdsmN/d=&7WI{YӚe>b UԽ1B/NFBnP΋:d47c qn VJgv>.CZ[Ыn+H{Eڵ[? ^WͰv=)aQn,8{ëy4ʅÙ(h9٦{*XYxci@{d |wFP2E~g۠1w/{7 2q#d(GF=dzGF1M hc:'00Aq3A71ֻYRf [Yg,Ѣk ,&{UT߰H*R,CBbKSfpTj„(|PoIzyMiiݯs6eq̓POnM~!q $Ӣ!VsXMz1Z6xvO&/#JY;YȍoҴ,AH4½ E^jAGmJ5*6{"0ٕKl7G‡[ 5$/4(lsdE 퍙?js kE87ܼ$9!$CFCD1J 5:Gl$pЪen>>lu|:g? .<av^(!wbqo~9v [S4цĐ (#;In7֫\ m-܅p>"'F`&L}@-R\v aXB{zf) ~9 - âFXԃEQ8~l@8pC}# dJ€ yNfAXؗ%bfYC!d: y".Ez5L! ᔗj!iÂpuqph$|V681K#,:UxQFncF!{,!Ν=At!͸/'r!cS'6ډ}yQ[0+#B. - <^vP7o{PED} ꛿Pxi4W)f ~L]0Hwfg%FQ^OϱW G x|Qg!+zcy GYwѐ4ۿ6yoޜ& 6#(Im򯭍r.ErwS؇O09( cձ1"5 Ѝ .,q F JĦ=y?xZSi[_WHmбg9g"l?fQ,^X!oc6emag+Ƭ%}/khû)?b Cc89N=Dw#aq `ɴ$`ZCJRns{Iv 8Bݙ'e$ :o!1h&$_Pk B91n3KN4Ӷ>v5Zf탙p1p < 7.'=5j\FVDPN0,; !-=gH?to# b-^.\BwSq0[ op^U~j_YlXme)Ȟק,pjg'Ãx1? :'ך`^b]O@_…)N{pRBw>{V" ߦDN!/fY)_|{VK[7BI$ߩAsOPXqM"%yc}mkҤ:. 0h4^h0CYMPA~L[qVg0%Gۅ̲2/ yy#4Z3ɾ^7t-š{&\ImwG8` /|579y<- ࿖F~ Y4hL&f'\Z@wILE B*ʕ ^†swpSʷDz({i2ͤěmI"7J!B cTjOn06&uāvPGфHiSHۍ9U}Y0h4aE[VKni"=4L =qr%Rソl,N܀rM)/MmvhhC7KcAuw%VzKFi Z#GDCNLgBѽ ] U3:76Y߱*jk߉MX+CA^4Ӱ\&'beZ熙WGx<1.CvvuCKktOFysg&t/s/(nŘZV]sp;LYv~(G~SX? th ͳ-j $NX^4ם)@|W 8.#8B[jigW(`=W;`?Xn=jh^V86V?  _x 8(ggecR>^"DB]" 'W.^;|2% 欔-"!{ G3+Q'=ހWrcB'5W^vw=o\4 gݟ)}<$Hɿc 碬7fw7yF6 nb!hiY ZEeȬ9fߴzh\t"[(8m.ܬ"\Š"ruV{Y~ D P :0\b&j ~˾j4RD$58|z麄%ȼ/hwP XB`=  w{Krt 'dM즱Nl=΃0BgDk= eb LB$d\!Ӛ6RIYY 68^x1(*eTqPs1#DDw['<4yXU3haܸtLceU<,*ڰeRFAY넪8T3+!񗑜%/CoS섭g @fbE $xfL2Oʑ\;'VG熳 mD1'OW7#?n]I")A ~E_`PJnkc 9]:qzI0sOoet?R:=ZR&>k+AUY2B_9@ _1%C~Q}V ~+jjYO#ѤJP,tҙ }d\{+8Q=߂hhuڣ:4L/$`e*HぢdHcj2< QNonr:O³8 mGh7ݠJ(AR3ZٮCܛĨi:R9;Za,l6'a_tG1WD"@;G9½VgFMuj",GXn#~<k$r (, I1p(Őטߵ摵vLF-z٘֠gR3g7/503gixzkSR|wA"BpIv?ƘɒUP./ <ƚ=op]B[st0|PnQ1 *o%:1,?xxĜHX;딁O/B6h밟`Q=n1Tfyn؜lyb)JliΨsLJ4|g9-u;q#j>&@Cr3=LF }m 4/1F#ԷkO2C j`M!L vy 0\r#xY҄0mթsC#,҈X0q)6%uq۷zϢ"d^7ol<)2Ĺ1x,GȻ&fzǝ$aKLe ~lP5fJ`a!gZ'11N liz?^0p>M巓v֎^.m:6f57Ea+W=Eu$ (1(KY"iN<=F_k-u_L]?]PAnsk՟pk}jQLAߎ5O(}R]2#fߖW!bO=eI&XsbK6t`(!5[ǃ?Fy}3M~.7x<]~ntK|.}}(/>V[!Qs VG 81$J2P;8ayTi.>"ޫ&WK<;ÇJ{>~7x%AGuk8Xfc~f!jc7f}W/'ko2 % "$cٶ7ı,{V!9#U\A$h!؞ iK Λβ|II@A!RK1fc6y5V T0MQ]+)/&ڑn/tN3b씔QG ixӄyxu4E9}AbaAb hW u^M_ޞ` B}?88߽ c"+TM*fл*:.!b7)V< vNLf蕷\ yO'ItM8?Qw5Jpnk,̄F%͂kE!X0wsL ݔ}^=;XGO {m+&vi1Y mj]. q ;ވUJ 0J8R$6uOO3x*~:{ᎉNNk5w߷dgrφ~Y+ًf޼o En.xV9.'+Tg'wz O~jG*tF1O-PG剁4dsx_;k=Շa<+, 7O84`W c E]轭A*˄ZѡZ@.bd]M,n=oĈbSUz^ bx[s,:e Xq[t8'7Ir]7w4ص=aԤ 4}EXPH(wŠؘ?"1V& 1VPh 2C\ l,/Ĵxݔ&ED8>F;67]>7AE qHMc`[Äz.M[!ctY6 #WuZd*ii)a1 6V=VMx$ La†mk16A~żUB3\s여s^wYBgr٘d7x1v s^fY?&3'EHr`I5P"90ƪ&46[9N|w0 ~.wYk\z*Gp|60B?xbb0(\1/>d`HJ{''@]wꤊ1۞r`ќxl:ADsSt3ś3k9ٳλeǔ0n3UpLO|LLn'9b6vg=NOR Gq`Y cƮ.kH8rBF6JwU.j^uK==w53#X\C_E6<<1i`(I . k["ğ9Cp¼;Ro]J. Vᔸlm.q_B8QsA_ލqO%Kgm*zf'_¤v~wF>X_+X/Oe57k7ޏ2xG8 ծ ]Rv7ZOYƴE>̓펩h>?s=_w\_-TH]`7x~*c5Mt $#wo&qzw,Tq4~:Tύ違_vǻy$/B r.v{v8"m;<=Õpg02:M 2ƦtcG4lPQ&Y#X^[y.٩bYgwa|uZ˼Q=O_ⲋo or4fе,]  _9~])dky(SV Oa*W xJsBY MhKh*6l۽̓$>q|\Z_Dr$ڨhGiw-*%ϛ^J%6B><4g۸ÛAׄ6 ƙ y90S#wwk7b euhR0VFЂp㲭zaSV ]`g~3H6(Km<r+ 7Cg3{e, l=d7Rl뽻F 6&=9yR'5QDyU+X`oLH15GF(ck:I)&WMhÿ`saLqc\( t&2b,iw<-?5>.Zb͚y'\2%blkYTfaju2%e OW7LW$dKp" &u4 cdƪF>7s[ٱomLDM1.ax֊ SvX\iC $hz&OF박_3aMy,\ʳ 3NLGR4(NMh axw$Mx9VxU9ߥML'یڎz֣55qy4ItpymO4Ȓ4N;^ek3`_XrJzvې90\; ["S_O]WSj}LۍC /՗w1@ !GQ2dj-SZ08=h톄?G ǯw?ٹ.pֻ/?}zWF (ApR}[dJ&J!/;/ZLUNsn9f$0p%Gv\3;k[Uޞ紧yJ)8`',XY$8. 6aL #U%BjݸEhs lT3WV72Βn~8~5m5FŬ୵1!Jcm;0Ia"keji/sN mܸꀝa~x͛Q@ۗ@ |9YQ҆q]yK =q4..wތI ={U1gqka"6BDEE[6Z`mSte7%!ӺRbL>C˻NNwza{y'7`s2.̀eKh׹(MAx[z?]'zonw,^2NX*ajkܜAeP,6D5-ʹA:hc_ >FB&hTn/Ba| x9rc#=?'ྞFG-umEH[rQޔѰR$ y ZCO_Y7͵e.&ĹlIج~snHQ[ځ' ɕ^pϋ|R%42wyg.KhWm+lV_|霪3#vK`߾jnR8|bn _˖D1۬dl)QHY^뫈zm@x?+7݂HQ)"K.#\dx: YէW;i8~^ [ |UFVFFm,,>ћ !Hi|W9aOspqh `k4qƃ[sJpD@M;D+3g5F`/t-TSvtK, |/!#ۖf<%mf~OJb>3',# ֺgm~ncQ SbfC-qW5͎R-KBhc:cѣ~z)-y5VIywy=hlT6P 9Y0{a9H$݀tjU~+戇b+A!4T7V* 'BoMewR6o& 7 Wfnqd3'*{JYq$L!F NM`x]!ي>.V uR ߾TCQ<,~kڎ\=߾^H<Q<Л^43?7IYr(6`!Y8bmef.aj1]lw'o:' jbopWx T%s1 8/S8zX|1=5v^&n^# "4+Aho>%kMPx,%lP!AXㄒQ[;"~`_ O]^635nlfupuGw} ),}ha:' OuPOQp~nsbdtQeObb`kQ{.emw+VnQur.XDf [.PR(j:5Uu 艕OXėdzTD_fKu od8&^# ~ȩ}ھʳQC\cy+joR0 g"#5 hAU3@d$EGܿ4Qf/ozfJx$H1%A{$y E_ٸɣXFgh/`w퀵{:MD7猑ANDJ_8x2'dӭQl>a=",XZmBs4ȃWSsnAѬź \{ef!Ц,bu~z mu#FV?a\4(b2>GpJjSs*rjCIFo}B6S`aZ  QFiP%fSߏN^}rV-ZwOHBjgrF7BN ʊ>VӒr Bib27&:n %C7olBEDE W'%IĨit ֶ+3 ^EԘsaO"a<Dlu?[x}8!FxU/7uŗO0>Is h\;gp/w,[@vA|$1v%Pꓪ} j/}u+ۑ9o\UʏܳFa)A*x 2rph~*t ]%v !ŃPQVdy0~"cͧ~Ď Xo|5X%79a峧R^N 7{6 U=p܇%kc}o(]ܣ?T!'mA4ևZmY=CG1 ;V3>JV8 fzD`C93Yv:ͫ ]SCcx\N&CO(ZCGEAp O̞hb)Z#],̈́Á6Ȣ8T1AO52f\46]UmuaX=ѧ"%jC>2rW B۹Y &L"$x?Q+M˔Jh!j~Jnt#~]>Hah  5UܴYhSb"bg%Lc iP}sJyhȭ/o\nz%Ȱx0յ%gA]FiQBTYnL I9Yc ey5IЬ̫^E4usI8#U(h5EfvޘmENnp ?P?%wuzU*~딲|]`8u`0ϣ=M"u91KթvX{g)8[ zVZ{)o_hvϧ|ʰ 5\&vpGRa"a E?; s^;G PXhƩJ~)C`so}: qEG ͅۊGi&?8F6_ܝ|+@/OįZ+x UrԶ9 ${u A! < /$bTYϖq#7rIƱk xBX:pGACycl%7C ?:bzdH](+߉Wbv<;n}wG]x$W`{v*erOræc .Z P̧{úKסhʉx+.p6N33~uhu}~m%b`>ԏPlo"uA2`.iLe1WIFN.VpmVN8%$JąUY](a:{j;1cf6/7Edzɮ!w:BA7u#`г6`3FhKkAHe W'MPIթ ݈o.?&XG(tVfA>7^[,x1nӂSco cli[+^P!}%y}#2 gǺ59p?][_{,ҶGMcē-5[jc܃аaN(DlETl4v'&x`Ϫ4z 1%ֈ7/BދJ`C{Gm!U fR춫U.m?m+4/}eS*(+J7&~ֶS[s88||faR1gO~:>)u{?/GD݄M4v%)[U(#2`g+FEN8 3"w>6s\IYMpUV_~SG`>MZ+4tO(4ZT]-j,h>>='`_;(s+{?i~뺰x \ 43^nhgï9N{aE!X:c&[ GspMΘjl<=?F{ok3#í7/(duv0 ɝ❙-!9cVfH[kMǗFӫbU0XUh\T൛&omj l(nG⋬VP#X1hHZ,7< Z{"I+lXZ[1\"= Pr">,댲¹; r[L77Yʋ[cX4#ЃcY$NƝsGp7 d݈O?kYfY(H)>Rqr;(!ܞ!ew4e^|D 0s^59(Y@XW3mLc}p_V0*SKt쁗QNa9^;V ׋Qh =+γ۟kw֋W/>)þmmhxR^T7 E,r}Y ;6"w/XsG!8e㧓߬~ڽ@u vTe#nKyռ?}8/V΋" v‰w;_%u ~ߜTpKy`㴭hW;l+ll-70E}޾B.'GOƫ$ $60.mqQ@v{V]E†6B6k  d\b:ƗKɣ^K-kC;֑EoxoSMG` =bGmĠaMΔ"2 70“&5 M1rJt {6@EQ!;vrQun8IpФ?0/P[39D Ԧ{ N rM,(qq&ͫ_ M $v9z1rC־nI]d0=pԐ@==okط =dzj_֫`u'6.j IEI yħ5)q@8"u 0u)g,C?BpxxBӚo7O9ϓmLx3`{~ 㷧SiQ Y  M1c]۸*ԅhBIfd{1(ȗ좈×MŤ##Dݾ0L-a=F&SX?, :Ɖb(O2k bS`)֙JKq9σ'3 M[d)S6;m+xKqF^ލaϯs/W|Cܧ-o᱓WRМ?)WQq=̶{Ԥ#Q!&߻0zM4UR10 Xz5"7wȊ&lh&^}2'~ 8ey]^{4L02E<<|n6>B(f׃',Ý9cf ] 5\SagypssaxƧ74r-r[sU+,)4 ؆Sѫz` Mh)a.d_̀z7Ÿ,aL Zc{V BAyLnIJص=ʼADΛrOż!P>3!b#e:ӋhUĔPtpj Äv(C8 <45V\?% Jǯl/XzZ /5$E8B~ss\eNxm1L!j=7EͲ/L.@w7ł`'^GU%#_Y7c,[+p}`yqZ]skmG`ҜhE9]aj2v # z 'PSLD \ F=qjPbFba!sV_>Tyy(zєMZ<Рˉ Q32B8_Zw,itwFQX)v=6.MXO\ǿ]OQ.lU>L^ufYCEP=6AuʹQ@ÂE8PIs|1oi^%fJ`gV$Op֫T3y\v i/'![+N%F/@3ֿBg1{s@'Ps 5^} DP@q0ʓ`yius ;){R`}1⸖7B1rzS[]ݷ=I6+Oqdt!7iOjĻ; ukp)u'Q"m9`@@eq佼W_F/6[~]/ճVoc7Ճ{VQR _UE!>j 9l;u\[֩U5~it~ы4#X*"w blVm12[X4n7QF7J5A{M7<%"!,T'=Ǥ+g5>bzh`A<暙s,xxݏ7FN~'-x ]`"F'[r)4$E'z!&|ꮛvaL!f2al4R4=O7~ri_* bgSg#?sP6( oteuo$[һl &jNcFu^t- ~zB_ņhs.I4:h ZDevspgSFti~E\\g:-IH1|Z؝'qvD^M?6 9á6jn]6횛WUrZ亨 N^O?Nk_ 81g@0aa7,:|Te"p \䁅B^$`lx[UEz#zӄbْS _6zs:H67BbYSg"SOyk<=@ϾP aGۃ+Z3|;%-V컐5!Fzo'Ąn_}4Ey|TK_E=p7{>݊ x~W'+;Z5qP{WB ZWO?n.2&uQ4ރ*<Cg?Y >s7FG48ŏrcziTq*)E漦:cSx<װaLhMHo􌥫-?8MJQ#38G~G;J4z Bn^ꅱacd~KڤkW#>n"]/F6q{Oa'axׅ9Xxlۍ P3~9)k#d'%`bK132moeuEn]q\ ioB,(B71u[Fu&$ }okî 4 P } l۩C k- CS*B5g[jtR}B*WX.;oп z0OAަt>((liF1>)MG`p+w d5~<{=/&\*kEȌ„[|A}!P1 RY a0AFk4CŸ D&B!7CLbM)[HWC8(|YtEE ]N˹˜my#®'*#GHL;*Xѥ.|~}Uaz%\>MÜևic_<f u{gQq~ ꅳW؞]UP;NCP1?( pRA5YSlu0QvN!s$i) _/\}~ݶৡνm;AQeT| ;_}~aH/W?~h_"rp#Bh: i+r-m=j6%;FSE_gx8X'p%Ï뾓ñ]iHuC*m(r/ I |vNvI5O(BmԐBe¹L0~6`xgܡ)1,h(ɿ&l;vM;oBq=ޠ{c5k苨&kZe=>17a_M^#~ ˰!X>" mϚpi6k)ֹk8'eH0^Q-eG6'4 g<#+N.;4G~in=ыP70Ā"@H3MF(.6`p2R(%>* ^VfguVA>}y?len^z2FŏmC~gܯqg~l {ExsﾫH/;|<|19؈o+AFeD/AIQ O{wqw)p$X;^N8'>͘v) %ghl#yw7>{,yj M4De|]S7-#yR32ތV ".jL[4#~p0co @{vɆh=8+.M$ J  Bϋ/^fO C7-7)6tק E Z8sw; Eo8#MLݘvFؤZ;%Ivyk[nQq]p3U?1al Baq]sƛ(M$5W˺^Lnʨ uLy_%+SĆS L..󽃇됙^6zXHEJUAyJVeHu}lztl~cZ,VXsE]c-&]3DGje>%͆|E@B+u[|#ӥEْSօixB֬z@7/;/K4u!PDh=f]%؄:~C-um;`J넽EN-DB*qny<}s:<A"N(&54RQMIjPe.C *6\U{<4lxhńē'a\Q%vNLJWq^n{Ƌ]dn^dW~w~RoWwt\nNj@?i/>+t67SUⷾR坚xu / +wqrϣ%!|ҵc!ڹlsNQWHMuY)P N#h-4Ў"])E64’fdJG~  MiSYTC_|06ڑC"DZz?hE(:ac׈vY< ]z;QfrqH4>ݓ0E=!ggPng_t+1R,#4~HqdLJ gh<0"U ;}6&Oj$MO{& "'1Lj%ru83/{[rY,M24\hh"BqG#(tX6iq nΜ`8c #Gj|p5LgE>FnM`imup:N;!9 .t&Ucܣ- ]ySj@a/ ߿z~Gӊ] 6;FDOWW_>'=<y4Cͯ[{^yƆ6? qL^y?~q"X'E5ȁz6ŏ*ty9/}pV\%B# wa?޽`baʇ>+f螯 Wױ֛WGAHzQĢt]xr:x3vؑCPtL[5{!7y ` *JIhah6)iZF *#LF~'j4s JhK2 zQPFaaiOJi|`f d_ͼkDWo9G!2]~Q&6cbaaiɊ҉n-E~*{Dst %F[M``T|lܬh@ꥑht%]cݯ*}^v_2:IT`h _pg4p33~ϠH/Nr;}Q+j':@a(Skl&2]vl-ͰLO֒٢| 2)c@8&;SO+V020R39'_&'3GaHi.; ⁨6=YGn=~Z\:V|+帑 :vs~rCWeX/ ׈!eTxJP'/|sLi4`JD7~ kKg^)/9즃ZK/Ә ;Y xY ^b(FHv;x!:ȄJH/?V>}8ȉ|scbTiaKD׳Z2"(MZ0va9\ Ϫ& Qya l8q&> M̺i!gAH׳]7DM~0u-};1dD}7.&o^T~':G(L;]Bl6Ѧ*fج'D0>/筐P+ 3g |Nrwlk?{Swx}6w %$жmN o?'CFG5?<߿q~Si ۿ.|v|+Ӽ"V/ۂA /9]EUpwC+จ;6W*wOK!h3 =$7jc/_<Myw.J3=/c4p /Ohdƃ<#xNr腀 m#qQ:1#wm2"0E{x~@߫~/?SVt'a4$ydTYC;coh.eqolJ&L`yáN"u;hFur^lCx|v$'Q(ͧ%ߤa2>)E۷9aN2'l?7Մ˺8&8d`F{ռ k펠tU JN$ Toj Fɧ؜ (G4bh4:S63\/jImshꉳ=]CaƠ"^ rnBD:15>~FB6VsP{ D M2S:{ И}V=ꪮ? ʌ5]Iɱ$AD}. iBP WL߰PR͸)鍈bK(\"aIh&*UT#B5pptfC(ЃA2$҈l.X`P4`QŽ.*،@8pf|~B0Ǟ^LT F@y}%2`R`%.Y*PutPG}q-h ":U;;[q?%An 1nkKPYpf[kYYip,21T\Q5(80 -[;hjڙ7),ƃµY^";!,| ZM~WudvTGcd:nR)Zn{zQ1'M/}Pƻ'x=|㷨 -?OV,O[4A6Sٻճ7;$|/WfWO~xr_cQs^m%L2,D7 oVV0E[W'ۺeP`?RqW_}zmpkA|tZ}~P!Nf,8:xz\4e6;84ήB툄a:(H(5ی>*4lhUψ"[)psB*2 -# <[#)Уp2GÄ95>^ﯣqQ߂Oa呙q!'9-&/ xg'NwxHvݑȇ 7Gc$/3PI Nz$CRGB7Q7E&Oq\3R XP3PsH瑵/]S,Bk] DK= 6#8k=5Fʨ!fdj3E܌5$9ٿA_H)QHZq8+SB/scj'8*5 ]Mǂ(?]s,W݀49Ȁw#gA6/G3$EׂKut@#C!v7Nd3=3roƸWNˑ!Xa ` mѳEgj.pTgUQ]~KuKmȾHť E>qPc_M 8.,׉j ănI%4!И z\/7Ntv#XD^|4!?a@mLN4U32E6E0fc[3'f_`70?W9&ҚV J!뤱9ZI8Ab֗-咍hk;_7Wq#^*wSA(dȃDU}&MaqƧ0̏gq{7 fI'ԾnAQ zr?=etfq-wRlJ ghmϘ>9>B9?u|ݑ^Y+j7CV@1c59 y:5@DVkYqBws5#6 Fc,sC.v>,!<QD@S2 4V hr/WԵO4wml{jarKz A2Z f1P%)?a~ )(b1y[YZ4AfG8yVrL) V 9#XBmmCEBmƑS wv^ %Yޅl$k /5Ǣpv24ڳW0a'OPSR04AIZ=9]G(oj|;\Xhͪ}V?Sh7-Z~w/:mٞ띊VFyRI'N]с e7V|g8J'R' R|~Pm IšO|rx >9P!O"`Óos8yu]Wuf(2 SoɰD#Ud⫉B1NOF.ȣx,9ir#-r䌃ٓh~]?)vR8&Ze)i_퐘PI+k—pz%U'O_(^% Ļh\Nr^í䍌Y>0}xJ_8<^`p"F?nO.t#O۪hUQ{j|Iy?sbUVok1z0[Ӛ<]OC덖<{!99nu 58^EU9 6Uas~M);3,x}_;(Ο5 dn =m %2 2~#>ʰc~xb &xJ8mu8$iPmA{'&( xk$D-rN5Va+d$l㡻hXTa9hf Ʉv'GsLy@Q)pW5? x&n er&Fa|[? XK>GONNx?o}e1ԫ$ ׳(BuXֱs\ᠬZʷ{n'>QYc$/Sd")it3㒌XRIzθ O.l߬ӼfOU&ȳ4@Pv-5Ȥp@cfcNf| ;v#x9[ԆMB23ٝ1:d-/9*5Fo=;8kyAg1w/xR|4>(X.0E 569kIe=)H=>B#<ӔE7 JR U{ [MӜ!ْA2bMoRMFɢ0e^%0&Znv*_F9lG@JN˄ypXۧOUN5~mV!voNܻz;v:^}ŀO^%sm(y{~wV#.(.$ݿN13:BBpNQ 2g>P@zP z_lV\e5f9bû'MRhFߑJ;Mwn[mx_׽jmpt|U4#/kfwOXp(rx{wp,3֫@k50ЈxZep-"1FBxNGcɔeg\Djw(h E,µ ,)%B<3OŠ<T]sm`Xs*H0'8)p*dzc#|T3cYR+qf7bk?VywF>pJ69&*Hhr=}ƓD_$Mͷ5XNf )9hAwQ)ɘ),`@G#Bb 0ԕ2"ʢ}/RF1Gwu7!ed&bx5y4(~`ƋHn8 8QP1$1"uF/"&^ƘwlDֳ0[/ދ;P@кcA腿S z~4%ܯTh Dlbo:BLUt)^Ț(D@ah:`m:K.hn)`4QU  %L:mό3481'vI\*@AN>;fpjm+Xf8dkcF?a=ŗ> 9'=&nR2$uNZS:S:#Q,vV2}7!ѮA~ a-%g%bC>jdCrFЎmD4yR1 9@Yxy|!ȋ8+8 L|-{IyFIg^DNƎhQ֞ ]}`>2ۃբ(33O_zn\|n+ŵ]s⠀2|Wblaq2$4F2M%)>p69sz?}\4wF9܂7GF9vMQDs BC a ܍eB@yrӳ# c յ9R^02AM`PAjttCV&V+Fyψ2ro"W rE CZ ^˧s7 7|Imr-3 5g=D2Z?&ެ$t7X N7n䭂z3G];UZ.X ˇPA7^ِ:wQ7_̟R;w3&`˫{%`^yyg4P3n[͹Ð{`7/u1@XLQXf6$"!S ݋8tD$ V%3 T'k!}Rn]/˅ nǫ:"wԺ&ϣ<g:y߉ݓәǏW<42zv/e{V)N#w%xN |.{5Wduyj2|k(ë~ v$ȏ} ~թ= cėI"jEќkvI/2Hj{FEN+Nn_N3ؚ;|3z&w)N5&KV*lv@#x5O=fvqv;?3IAIQ E(vh0 y zwxMs)tȔrK9EEq{ʧ@TViQIBޮ7:s;D^Y0hO\Q-/ܚ}x) ̬R$K >O p&дv;k5#&׳8AlO4xXF_{B=!f'g#%=n=9ͩψL^S\Yس!#D$UsY D8esS;Nʺgi~ޣiuD* :]0lXSǤy7ցF'`6"jL̀ _脡ۮ3zx EqɒRsRE.Ö[/}vuds!8;~j~8G9Y[hm,Vx;}wGL, TRl͊R%>o*l]b^I?+ XDXų2Z4 (`s7zn1YS> ,'xh=R)+@/i&)1bֈ(&Yn=p1M̳D'<ѪU7ވabK-1BGhn(j`Hg݃u?,ZF0"; }{ERP1WZ3-qa)3^xQ.~Flci*/Fty CvKSVD+'1eeвqSJPn%ZڃtVkP/|?)w0ŝhN]^graŇ DD>(RL)8:G>_/Fxՙ GoDOVO`WqTݪGzGx$tnf8_oTG+}Hw) ]hfioOk߽>9>fN5ht:E>G7ȱhz07(a2|!M:ڔh8q) .AuP"1ɪhyD s=uG0KEQ5`pk l;YIF3QF@#-RSG0ohj&oϳ']pb2.vC=(yuD?Lȸި/M^$kk9;*rrSp>%D/65Fi Lx)/ mBnQAgH&r-0zp歅21mǀb>Y:j<9lb,4,$P1hLb B0HA(UpBy WCVG i;B\Vq'\ 0m /t=+{x EE/ ݷQ ay,z3#ɺm~;,;*0fRHUl0*#X{0@̸6fos4ág. !6]EK k)O]bJgy4^ ' €". ^8` .NEľ^†-ܸN)q dX7/>*c=͹Ϝ7+-&6+닔8fh{X g"e1ҳ1foW0!`Q#ћ+߀Ӥy_%Ai,x)QB)ͼl'saݩ7vlh?tPjFyvIՒb,5ھ*bKgAzܢńaD<`ZG=~ɓ'QbNT{??Pu0o;fGE-7?}2~-_.;>pbɣN(4*MSXDɈ#2aM!x̠b>2.OWBb'c/G@cAPn:}t_t_(p&pdN!aћ7~ C11ClL~ާP,=x,ʎ!f],̛TeJ}gj>g(ab)ʊᠸ{j8ip%qլz$wrSmZ[O =Z YF tc1/|8/J4ktqsysHpr,A0-Fg.6]O~50&B+&2j^htwc>0#ԓfXGtL,<ԥS|Bw B vpiֱza{^D $Zi2ܢ[f_c]"MsjG1C_hgE{oNtB rd^\ς#/V0H s,hmk z4cB gD=G8%-B˷;*tKJ؊ᄳֿ~#TQn#kgZ[= pIgQp)x~zwbhW݊nz.Aa7mi^W@'Nּ^>ɤJ8fjvnOSEc"VzCk,Ƅo_?L4d/uSJxBR2p_uK3tB[ky㐪Q-Ra((l~_ߣn5XZ9705: ʷG%3ʺs;9^Ւ9#Ȯ󾡒6%Ť,M,Z lDg,2,2>' f@`M hI}HS ng'e>Z$k̻kä 3XM}rIfYWd6L(8(욮l`% u'u|ERm>mmE~Cu#Lu[/ӣgYof|J~ )`8ݫn4:7h "d4ge1i/*sl3;/2դrsҵێGo)::0"nz[ڪ@ciMBXrk*?jjĺL)ߕgf= Wx8ۧf}?I1ߩQ}TKUcݯ&u{fRI)ӭ@_>Zc.'/W'/߬_j gѝS/_Md:䳪_`_~os|Z^>}Qw/;m^:7Qk?0uy}ۦ ~ :A{8g7'|7vtpQEәB\^wm{c6q*}39ս*h<_|9'-O;/~./P8BM4=uHS3T=?v7Lq%S7JZSMG;tcD!ʗOո@?;Y|xn~HS~rRQ0?%CK.ˋ%6*P0?\Q*QTDeҺ/gBY";0Ms㭚lkhsý] <ʙ&=ݧC((/ C/NԔg/<52RT[&h}Y W !{K'uҪc-{G2u +%.=L y g甉7[hjIQ&IM76HLY8 SI /r4E:z&pM!J9i9o\!:m *@T7ʜņ1ڔP<|!!ҀQf,+FFL}hG}mU*^sQ 2oLt ~hW) <M,簠h p`gBhJ8޿pp^m[=ho:mٟ~TAyfiJnB?rQ;@v"W C"6?߯6OoF1j/nWk1Y4@>0M~՛Nm=/j_WC@qr >eQ' n2.aX/ɀft`7G]l} ҖHI!./IL`4Fy]_?gCφN3\+=x butR7mG~Ɖst>]츹ۼe ]hބȮgo맜(N[Iw2lQ`HsOMD6oQ7|$/(QE37Xfv$d(IxSDF8/䐔9A-p4F}Zۢ7&yq\;BnMd=n3nm[t9XF[&TƣҋAQ@kD#Y:N+y*[=ua)V!4{0Ϗe-׊.31Qk ,~YȇlL8$' m#UC}$0Os&h S8@7VVQLA "Qy׶4E-W ᨮ03P0fU+{"8+^tW=Pfz 3uS?uU'5ҨȼC(2n_em"'!֚[Ћ"R0[JoS*~By;A^=7ý<^lՌmvc|С4y/E.2\4V3j""w[|t8 P0z ^E3ᩧ&LNJ (gwy;w,:P.mtfDdlqݖU}O>/Zv?V:E"p?pmT7/ėvQ_>]7Ce{Ч}KQcd·HWw?{hxY$^퀸a0%/<̘z̅r ?`KAu'heWeɳIžǠ%piōѱk d8o~E[~FCȇ.h[UTqVϝ(j7|h s]42hnL:-a!~ _nFyӕGKdC,RV;?ZDdŢ{!Gi)Y%H7َ}^$0E4(Ӕud,ŗrYH\r!kkbٶap7۷B##N;_eWDE׫]1^vN:A^[;p2]^tF|Ô-OvEч)t}~1ЮD k [w:ת;"TJ8bmI?\tHSjrɠOu3qjk`5QcΏ>)E?9aeo~' |6AÑ\$EsvM]KOL3pmiM 0DZr[R̩{~ZѳÜƼ)L30t )$|E>u HG(c44PÚ׉~{)9β, `+7ete꽜4d ~kh.u t\;Kl/↱b:2$ӹK M)ps6EBهyճ6'!*zz=Z{w^B`)0(2=)>j4  9&%B5@mIs3 n ҚYžDR%R')˷Ұ2arV%wmp/+ۿ2;.p)PP~MhATtVw;ySNaqdi8Q4v( J-6se*u;ݽZO|Z8WMv_GK54A2= zE:DVxIRQ%ID><?~Q껇5Q^Q:F ۍ! t>:Z,kA*p:?oWO;܈Q~oGED @Wp罓@K1GG` =qO %bo}vi+^jcƅGM*^s]ޥ5 cLu=M%˻B]U]DF%+|2=4 9bٍ8R*82 !5Ƞ01:NϘ휑?/τ ;|Of!I9)hV }ֽS{gd]&ۃZ_'D #n+Պ&a0$@3/f>pJZzS~ |VZZAƫl6gjW sKe!`H'֖Co6]4F~c -B&Xm1gI%j7 mtpy@dNK`uA3;Bl1yrp rځP t,@@-=S`Šdqkݳsi 1r (KAdG 9YyA!x ZI)FТ(0 A 2 )ԙ23E;J#5hB1&ݛ>&dޗ7MU`h,N-C^}U_@ '1ug?ibODdƚVYvW/3nz02- q+ .0AHl-a1c{lx==SݵffU[ls,"+*"wyg^:_Oj" ̕e<•11ۼC @5uύ¾0hD%mAQy"g5mw'FP֕ekz|kms[7[+%=`xpB9"̬ Hw,۷WVWF/.!;qW&wI\y0Jxp+E8%`,?/WkV0^^\>mvu}tU-S~x޹ssF:n$^ՃI(RӬMpW;oV2gy%(a!i |w,'#*F ;u{~@ zcA))hb<,^=%XsF[sl}&ٷWz!z [bl|3tn>T2%N'(?:Cn|QUtFZr:#~ kk[YNg d #(q^97B}MkT8}(UۋmAL'I1 . ZiBiƒሡ%qB\^<_tHjW/`'IOG ,qPGz'ڎW;Њ{smLym=pp!6bJ~q'( F}SF1!$vtҕ4AJ))7FM2Ծ qPqAsyfw1yx'>IʙQĽw>rҡp+SJT=H\M: ZA& b%?5a) b❭#jhF@o+3 Xw΍oVҚܞW@!{ZAo^>ώPJ =y`{;LؽJKǐ.~ܳ[՘oy{:#v-am Oݫ}Y(ůۃ & yvrt8@IDATog~ՃFNt[V7U2Ya3DpKv.G ѭb5R2EQ7/Rx|CuIك;:U]YBl}pVA'psY3VV1Fu~P e嬵h)OpÅ)sKZuh)iB BPTY@^4In|sQi%w$`)7D0TLt!PE_xк\\ oɯӔU]*i~}VkFOX1C0:O4ob΂`A?LY2Y콾<{Kmyg0o Oޥ2J4&L^LH*L o uO ӞU g3,6?a8Џ`x #F4Kjܺz'!ꩬfףSXE:zkSd8'6^CuUKg7CKABot܌ s+qX/i׺hEo{qSf X ?[m`VR0|Ő2WpS9u`(`ĈVg߸Юi&gVJ@!iITAX?۰:uVLb&9YG12q0f͜)O/ZejW}3oִS(8DjL`4ZtLD":<&?44 ;4`X59qPTQ4qZZ}1~ RP4` =aй4p}wha+ˮZCp }"_H9ȧ ́ѸdB.DgX\ھ(>ಖ:ȝ9d`#S ³@|0ZAx_.sbpxNF ÃG5P|VrϽtۃp^M1y0u?e2wK+jq[n=Gahq=Y˲ \ ۅy._,d㏲NWn@os?%㫇>+uN9=(TBs`5 v 0lj%dz)Lhh2x/ANuDȔk@hYg~a\Kd+3ЌNMRsWedk3^$9PcV~{;/|*1#,c697H'^zGd`(#xd:Le!(#VKcj/ ggN|3fYu`gvbr3Sn>Vysa{> }#%*[u"͆9Nry{0(`K۷KF~Ӎ=pkVJRP>9"J!}V6dp7Zl̈ S0=lx IIOVh  ]h\7 ް$sR6 EYkV}<+ߊXV~BR̸]ۢG0 f޸U-g۷?/?[X`IR]UǛW!4㧋o\N(Y2᧋~pµ']# (eq!z߾ϳB8#Y& 1Lm'8h=G7,>uY YZ® W"&? 2\"V X¡8Ygzk/e%RXn=T8A\TɲT̈5wէ@Sȅ!@V A.͛O\&ߡ`o9aK@{gc!T *k֯N]f5aN9Վ&g:)pHk dw\֭Bxṗ<(0,[M1`y$фYFkۦtϗcI!?S3Y׀eeav"1B~§ (c=/ ܌1 N dŇo4ߌ x)ph &5 B@ A Z iijЌz"<{3g8!6\׋[[CsoLțbkјA~FyuF/?hۃ3p쁃GqAagtbl8Mڗh)oܱ^wXKyonr;it| a: GVxP-!p.vr:Z1;V c/FH !-7\9 iNA8$< Kqx#X gA;%>~ϝ#Lu@j5nm4C1\t84|ҺxN'c NH {K>ںrǤ&A8Kˠw'Id_`dMӠ(b2Ȭ_rltr>tTθϝbj?BFz,z2Y퇧a8䋓'Y| Hu\jYNVmB',VIX8ܕVf醙.ԏ\sGLO~սF>]s2~v7~m|RL^>l,O>xn=M0ֿ*K<9 ?ˬL\d?KY/j|a]잀/;ɣ%BrJ:XϪ;y!F aF}\5O*pU ={Vg[!ڦT8(T ZKaԝȥ+UO<׻(EOufvtk7񒄰}-.:W4C`#$䚗% X83‹XH*εG"a蘶JQX h Ixy!xY;Y q F[Ͱ4JTszxAcr%41vB#53:2 G[f^Гp*c~G1ƻVuG~"AMR{[/؀'?khh%L!.HLzP5zV^7=FWO|TEZKrevׇ\(dD㼇۔Vl"EAQDrrrs4L= \£)oӾà>)!p𧷀V))?ܤU9$i2TϪ?Nɣb⾭ K$ fΌBb.6`cJ,)PBMAd]9{QK~JFzOkmEC^V>UD zS^77wߎPt{i-~Ounk)(B%mwp]ljxQ\17m0wk;#w+%*SV_2㇍~Ӕ/zV#2/%U}x7IxTOe}#|}zY["qPKb.|"˭sq2 JRJLh+NnuFxuPA~ '1=x̋I+]RtS*HUy [>l-޸zu՗?\}N x 1͋)Oo?ni.9CR =.e??EhYr^åp7g83B#&G8<퓧Ux6!f9 1iO`xX;qW.F -pC"' Nh/Gi06 ^%|);#AHIkђf?=EOI MoY5蜥d++ėWJaGO_/>Nnv/>$$ף\gy*7X@e8LEf½M_Oqԡ 1Nx=S̸yy :`k,ӟz3y K0%!QBdTHG.>PjxB#0Wk}PrjnaOswi49;mtforq)NY xyF@x/ 6  !$v42"seE0q>DFh܌dL"bgEfq9=-^nqp]OE4`w9f}30@CftK>L90 JFaAp=w7MVR@B7 N{€4M5bZ`0~1B؝Z$eR$C#ڹ%`Zc0.9tzL+Wj¾h$8P.VW+ -#!bJ.XX`JX-As)!.J҅?ŏi\?+wZw*q)7獛Wn\|?ɧ/>I𷾍kk/xGF!P)!**A.AvVy<yCn%Oe>^1ǣ/Et^G..„w nKqorXF )Zm)k.H89v3[u<6}+t( irR!Iǘ:ngM(Дki"mb Pi*7SݫLjr.MR&4Տv=gµ59KyYMXާ4^G(z1NGU΅ mmf44geK>#hHaKn }v:/*6/-.>_Vbx\Ŀ{~s3@Co\F<9CQZ-X{| =j4I=GIɔ%Z{vKv*#4ȶT=7nzgWR{ͬ˸-z&dn u~`RKg|>|o xn%\zZ2Swb=$F,Ft@sB&w4E4k<A4ikw>F -:)A}!@0W3(C\D3)r1Ό31ރ‘NWg=DP@-N$g1@I3w"A+ 2RA}s\1D Oyo/zF\ӐʞFEo{6C$"o,VOquk#ֺYhW"&<ǬxlGö)@Mp!) *UJ[fI Q4Q=1:9J%;>jJb!s\Mzqp.g"b nNU1ܸq#E-9\:cu޳4zg}BU~u&|9~2]t*ab _"޹$'Uq.:l$ IQW;->89W B +ޗOcp\gØn0(Ljyh_nI|EK냣#/:$pM./b.< Ͽjz5n ~}2ܙc:ufr;se.sY;4C™0b^.%tWh]Q-C++7Ȁ/P"0W7l} o⨡e'0ikW_H䓙N$&m!g3΂h(> `ֳ;8ֹ496AbU5'C[x¦OLU76.6aaAh0eHGԾ^fSK!6KQp ,S%Xjt/6Q(kbcF^Km' ̍Dl)+Dv3S[@HƂ$G g E'"Ddߢ!MP͔l&ZBd-$5 JXm*CwΜ a˹'6B7 7p΍V?˔^,g⠽(Vw1j2,e ]r܉wrSnߡ~GBVkݛB y $B,/MR'-&)uJ°(=I&+~wD<|/Hlo)!fV\fgބz E~p?Ëb^.Zz^}TG1`kƆ_ΕV-ąսw3n|O`?y7(%`D z.񑭮ӞDP{ î J9}V7^rׅRW {"',4  sJa;{y<.T/W12^<<=VPq۠>Q?x=}2Y㇭ pVA lQ0 g"oy|5׮WXm9ٵ25;JyREGWꨳ_ކWKG7QR[$sYî w>|K:c86%$`0< i)NX?8/cus}qcNϚ? c Qz?_ *o!<2펂DE "ncJ ur(@ig^Ŝl"s ޤO1Gx>OTZUFhx(sXپtiewC~z0WVK7ſRW*p^[=ahD<=3x*ɲD&'?i+a|z q92 #0[;r/nJph9Y+ '4ePN'SV9a,:Ϋ+<"vcJZkJ ?*/wl=$,ndZ THQ b,0{RL`M |#^FgvOY܄:vrYexz)^Wks5w:8)b=Xܹ]7`w8wIjoRL4uJ1< Y̓1k?0g)XS yj Eezy2uc%:=܋օ) gwߜLu3|{T*)Vnއ>}DP:|Ӭ+SYbpeb"'I儒 ),/O+}VJi쾂(dV!)3mAڸWj-UCGy0#aΕ~W_'. +PI[䅬*mYm%D"EĒƎSh&HaWpu{럽8y&z `j@}Yxx(K^:Gx})C(|g t\4'j8B}\3Xcxz4]bqwI<L[u:}oŸ_}Oy%h5~w>Fi^h0;?{g?RTl{6 t̃ncF1CC]a~8 —A"xU<Ihn,_ _pm5] >JPؙw9DBEjA.R\RVp(T#>, un1 jek/yu0u%j,*~}mЮQ9 o3x.&׋7{w5ivB{E%/UR}b~qwޝ?6v=;£=bi/3/:eHT= ?Kdf?lexECuO3 a׀K:? G^ŀ&ј\lMiPrcZzg` ㎞(s18bA"58!|9Η(y=YpgXZk622xM8lS Ge)5`:/UɆw#WYk`=lny'}ɂz&e;ƻR)њ61Lh 2AHN!ipk7BOg=]DB)w'Lce)b{wt0I5\--}MXVFN{(qttsR9`tkm 9; ]ȕrx6@<))mshZKr.iVq.^Nc eB흵,!7K̗uAV8'usa +d Q`R^uYp<yaU"RA8ZoSgՄb/| ?:׽GR@ᡰ5`8} +_$ϫ")hkdər]_]{S,$6PͥJ ?)J)puTji5^ﾂ"Kw,nk zkr{ 1HJudwW@͚"xVogM},9Oly0^?{0~=}k }KjߊIv9pO0Ч X]`3t^Y1ڭ[|81}&05oK^x G1"Ш4GǛZMU X\>]C@.=%W/Og/.P,Ns+)?M9gXa Z <{sM*k]GVt_+fvϞ~@_|[[?fy |_eϓa-\×pkg?.^6 1&J;*Dktˆ[\Py|?,\oɳh!NL5=3z׾]>^2F? p 淖T&>ιGQM2Dn=J sHcbv!f?Ɵy,l@Zn!8밖ww೯`']lTU}GK(e!.Yʹۉ[*k!11ڱ@8K#e$i̾to!>.DĪrhfusٻ^9-*8QtvVc$ %W1(J c\W)וB_0,OŸ:ˈU7RjL/8M9:[\۹RX()8 .=^n@/j7aĩfT⣓,rNrs$)iW};pv\龼U8~?{lxָľӺs;1|#EeIpqeG/k==\Ɂ}Zhdm ros{TtiwR:Zv_RVዹ!(W+( 2e7uVj1g!5 zQegtpg>OzYYO0](yJ|!?_tHnnj!A1L)#64Ӹ&.{ =65E .y)Σ{/yN,1>bL _4mfm-)ЙLG."t`n'Si{}~}&"ٺΧ[4,)ʼnSf 5|(r DFSj KyJk_~xcqvpV^b1gXZOORju~g9wKp(gͣx4&NxN(T lttc1j#~ bVʰFf4u1zMH e/Xa<0w<X r7sÕN9sXBK66(aJޜ9mJUM%BɆ* p H :|调ָUDӰZT,M iX#z9bTϋi#}J:ؕtKй8kFN&3YZ`3NE`MFq!inXrLck. .MejbJm1aFn1\?j0~ *WVa!`t**YE$JMz^,.Leb77 Ԟ&/1e/_;+{={߹Ŗ;Ax H{5=zb&U@`9&RRt7ę)`{C62S/tRƈ(v/)=ێ@jx#*GdqEȗ]ʃ^G̯Vŭ6KII~ v¥,t _գ9.s]xxGe%z)RZ9=TF^]f:xq\nKRoחBoi:[|fm?+'D/ wy/5ZKb=|pSX|;.~[Rny$Qis$7(h;歫G ^RDjQ|)-[^2$(z̒ r %Ss.G>>Gr/Fq%^ /+?t󠪈k+:پP_S-7B$L$fG^Mt7(rjj}y"vS il}]p!yBv!}/~33M&2p2? AsNļ7ܕ[0y,M IIP ^C>'#Lk øYx$ZL!}5g<i5{dJ>-o ީqY˒! ý9*geBgL KsxnC~wNqs߳#/`$̚7]`V 6ӢP#v c|~D˽3 )oeE޳xW7\cU` W}LZ^BpXsRވl67@7œ>$8 | o iBw^,u!h\5/V~7FN 4 Tg0R."`K pW*p]=ì+))>furM>Oq>/o wo߾Q~󍛅V깟7qrNZσQV7Es?^{_N?} K rDvn/ WY -) k{'BHutrD͍1/VYe8k%>OIiبqGn xm¥[ _Ec*L8Cc\=M~x(cw/w| 7.r+}p QP  ebk.e k< #H,^;sACM4jxy*av`ggz{ͽ"^5 qBMmou-cN/;rOBct#%~4His*B^?~Aqw~닗%.?MRt"'PYb(Oxmn<:8#7ࣀ|9*}8}e0ֆg3n\]`y oF.'wjU'>08K1e™4fhA)Z3WȓqG<ԟxJ}B,/.8ztWy2:œ gyǎ8N@NңJ v)2^crxRE4뿹(Z,=zrGÌdZH.;q⹱.j]:x@IDAT2dY T ̗ /:1>/BN̔PwphG2䵕mhPp֒ѐ^OzrB|V@Y)ph Ah kY^1Pw!'n2_aȧ1 ZEsP50K.Hj HiV<.t.;˘bYÚq/̞ .*0L^]ܽK\}dR:Fh~)iL~8n0]vA] xmLb5_5O'G8٘uk=S)@]Y|)s"-fCcpk:IJȴy1 ¯ጻ]sYui0?D^O{7KSLG7b.BTl5Vi+||Ä_-b|9enJaۍȊGx_4+bx.:SYra Ok ~Q2?.z$䤤pGTx1o*[vIJUq3]6:,O>gTWnJqUyF,pN.Wz|c`#񰵪p+$F[ʩyybÃsDG`}1>#7e5s!]L3cQoKp@\VqO}jؠVxJZB|s?p 'gmT l0%VOʕku.c9l̑/7>&\jg5ă434to1< Xȸd95pt̲FhL .^6ǝaS/"ѣ`r4k WIlO`deD=(g>X|G?Z"[e#I[ic&Kض(XAOx|ţ{\**+{*Zsm\7صN]υBQZ\w;>&a^=Bӓx@Y_lOSB(g%С%:gɲQ=lzM1Q0PWm0TlFT u)Y0<~}kZ!̫W‰5۞5JYHRv"hĽ :EW?h Gl-k?,ɔ鯯cBJb0Iғ8jy&qGMf#1A;ϯCk .Bf)?hABϩPWٖԴX*ȧ.Ԇ"VuufxN'J;.&5B/nukR3w/.f ֲT^KF-e\$M"^u`t fu΄-/f(BI]IJyxep~q=qo;:wO0Mb_½!hZk. )r]8GYrKR ֜sDڔ Jd ~s?juJj>^Lعn|tRBGh@xf .4KU]Bˣ_鞁|w߽lӰgr{OY{22#T|末΋Qg?^|wjRRҶbO$I*O|p/!`]߳ Kye..Ow޸04Y vKVxb2jpO 2(oUҭ]I~lE;峜(Y7--/ 8iYQ$F4[.!HA0!#0yx '&y/gGQ\AmܳQ[wi<+9/%RG4iW96' F6 wƷ\{O&q\p'64&Ԟ50XKz;^l=S %|Jdp@aEO4ni?MSi|/w6@Gq_G7aLj40k}ԘqWkbgt p`Zz %w@j1K=KƈV/J `uPLZF})"HbpmL ppE-nc^G}6kz sV镀gCV<Kjn.9M>\Ӻ4 "ttoaczK$HӇ;D8p " J"euBc%('(v%jqʗ}璜'IIS &ݳXM*U2n}+1(n6^Z粟"@dr->Ϳn{DXWm)bK:Zo뽔߻-wZwFcVYbQdrͪP2%tgkz.u/A?xQN z|ͩYV!Ia>;ݽu⶞g pV,e5sx/8KE^YP_BQH6NpsZ{`ݗ34?d{_>vs`tRlwEW$c$q0ϔ+ uE<[N/+8E7H¤>.`L ݹ 9oB]xxnsHlpKV†OH5kg N%2?&LS۟QÙz$*6ɺ@1-YR_JZ;.gt/B¥p=#D{eɿsyq}V;!Sa~sG̘8L_ύsH)o6{ }ǻu'p)0I=gt;}\㹕%ͽ 3G1jHu-ɞ'W++;kyJW >y ٦:cQчWͬj>cGr|觿Ʃu5=''l4h۬ϺQ1j H <ժx+w|J[qngv,, ?tzW,߿pl)2h=疱\cMmHؠMjmƁXPYkrlV}ksm5\I(%H#}nn] C ?w9'eN\ )V(0EcOZv7 d2jEfWN0" c1K{t 7| .uAL#?d)-W2ԕNrAXLg,GŌO6ڭ@2r5ĜhY2!mKm#tɥ՚J%701L*s(Ys b*q}AlH51FD;8G-H''OGJBA= p0ٳxw a^yP Ğk;g;roFx^Rύ=9~xzb\rfvQ)"G_.~~6yN]˒31Mƭ߯/>|^yﭼR$nU#/fyO~ҰNkS`)_؇xeߨn\9 Q~w; WW[]۷{Տr3O>O{)An|nƵ̞=!;$$\Vbg4,:޺\,nğR^m\hW'=$ q{!ď<Gt|u @P2ڣkL!`(Q$Xqm+bG&_ ҅ϱv^E"h/S!v{'V>=|_F} G^dT^xx%sug{D))N$Z))&(Pzͱd̬)6 R,^J@oXpR=G) K>1Iz,&<,ތvE4'e 8== P{zh&%XkMX=F3shsq76~fi>L {3 yC5ì_ ~uvxRO.>-~?+D~1*B صk!QtM О=t'.4GՄ$9/g9w{΃LM9Cp!%5 ˛b3WP- / v0 X(py=u𝐦i6oA<=I2RNfe5aN?IYR %s{Zk/ǿXo,O?_\v fģs5ГOt`QC6 b:M,Q.4!Op 39VȀ ? .܏GdJ9ׅHl&lv|o6m/Q`dT|K'%xcp{/@=10 w˫nցhSҋh'_R c:5Ii,!;c3>1BO"Szs$3 Is_;16a|zMҥ JSg.\υ~_N,R[-vK_u|RIߥL .?B o3>qOɅW.t-o{WQj?/x RB“W+Xrw:^ycDN*aWrPzR-C0\ߏ6 0UB%3< [ Wd Iry!۰0\ȼ(KCFAFK5Sz$^;X}YN1~}<#e)i5%10G^8t4]=A!PJn|/?SxD\%AFJph;e]x֘1kn~&7uEdp9e!_SzݯxOH6|]vaǃe9!s3_ 5^ICIB>dp~4sY`[(sI/wSyӇ[ C}/^99I,_.ۿ.~v*w1. gYbf/MQ+RG6IDshaʡbʴ Sh qA~%U@fsO@ϲVX{yRdOː'9frBJC\b?[!dAg(c!gT٣5rVSuU׏i,Kl'نXצscVw{L}4F=).1;y|1#=h5 = ys`|0g*31J, e\cW!_`S7}i3 "9 r@S>C&`սGu*?/xjqiBJ'éWY B=~Y<ۅ>|VnN)*o5vQ dku_.Fҥƥ-.{)޷+d /=+_e@㸃Krm|Y/ۙ_×~jpR /˝4RfWpya//yH_辄ݔgu<GH0I3ͺ⽺->.EQ@ ;Q& 4bP&"j獎c 48]F{H,v8s7z:\^sp?q3?xYc[^l;nLެ[kA-Lnq}uXdR3@H7օW1ǀ=wAG<@8q$Kb: =a՞hC=̓ik/Q+"0/Dm\0blĈ/#`+KbD,u`ZҊ'iXMy|cbx|-p5J; 0YL\`eS.%0GdŵV#9&f)> n)9ա 1>뮄1;2 DfoOͦ:ŮB3;+bZޛ`T[fVVs8Vk'=eFbud6&_ {uʒ*a[BeMv\\X2[Rr"Wn}}_)sF(g; >wߕ4'N߅95u^-Y(B'%"sIm!!뻦9+;^ ooߪ+oY<}[p]f"wn}#&uz#}E?'do\A]ju\*p}|U>AG}p.^Ȋ!REB)B Bnwn,VIRfm˜ߏQ )Xvy.SIԁ>%XgMIO؈}@Y o|p8p𒣠B2 [x< ѕpB#n\l.yߦ6fАψaMj!ƸB;M1M)?DWx6B`Gdܿp's& #a<Yl,4v|MKV݋%\>Ip$Gi-L:mDeن~zcx=回d>/cɝC0OH1 2^IxCa[:oxg\fK(*IOJlXlޢ-Ug8d?m=5cNZ6Y~: 9Њx(] hlymɺ`ňA#Ċ*^+!BF6O{'8YW^Nivkƞ@ vdI"?I:!Q,b/>/J~/->t'vL,(pwY :6YpރVsnQf;+പ4&qV)|i-tLC 4mkŦQv2m!)=X;5@LuR.S.{e8_|o(Jj|{Ua!jm/\~uk:!&\ L'XUX`w:u׫^]NT54ܽ]p.\Ly~dXӝuye}P@p&=%Kn[Mr|6\e97Nq8Ҷ,YXę@̨ KU3a=}4y!s8|#;qXj”g`\Qqn)[{nEJ>0&/ߎkb)"gRf79D!A)T2^'`'dU۔þ㍼uTSzsɵs/xcxd(2GD۞%2Sf9f!S,g$;`Kv'Eb>\Sz6O<:9 HH-Q:G` BT- i# Ak/.o}{Sj+^H (<)9Zh]^h:+AM K֎"r1pp}F0'\h0(E֔>&oڢlVp섡 \}c߮ׯqhuR™|o2 xNxl3`o KE j!!vգ?[+˒ nW!- Jg]xZ9SbU:.  *_kYqݼh' rn!= nj RKo ;@f1R[y !m++[W1GF:Tedv$m j|~Eu쭌nyEcӮk"zm>ps\㶂cGi)Ir~c)$VQ4II'XAi,:ȒOi sQȷ2jb0km4OfI9<%{Rtnx؍J P.S^f֧\#>Ŵj+܏+h## Ia VQj1ئ6.G:t-"D`RvG}^^I{ĽW0aSU+APz/0 qyzlk%&>#,|Iݺ>|.lPر):ﾝx?ZCTnş쑷EW+d7]Ѭ w*ٕϥ,SqI 1Xe* >*mc),o*蓢s0Х秝|HeOfy: @3N<φ]=޺k[f/qoeQ3)`VXV̏LjGγ%KxU[>GMd` 7Gs-Ew M ne}qfB#6;4|z;Aӵڤ<5AFQܽ?xؗ5YU)BpÜ])p"e 08 "sD4 boӓy받 K>9b] [/s|yrOBB AzP u5 Ri=WUd*H[R1Wﳼ݊AN V[u/z"S55kwڑ-SQ6PQɖڼ(O?/?4#۲ 1{p>j4&-wR%kSz,n 1ص4#w`?ꐑuZ 喠Ղ$BʉdiX[01ڟI}tirX2_µ,O \[G-pD JuЎ$E̳9MJvY#l"!m`>c/-bUL]?^ymJ; w-2?i1~ʿahwR$.Uy+R"Ci)M'L>a1nbCmg 147Ixkt{1[ʀ6'5|R22_6 -t&)xM0PDFʙKT0h1fA25cU7uhoSATʧ!0yYg;3Ҝ09_пxʅOn,^RnƧwnk,JlOI nws-ֹgk3Ϟk6?ǰV/+Z\8n dq'ڵ& kNig!~A/u<]+>ɘ/>%ˣ%uߨ'y;up|5rbo4&Ьk-*O =<Iq/rIsPt 9 H>CL Vb\Wn/.i (;Eէ܈J"A\c 8dvC!P!$#ԛ[;YvU"h-0D0DC:Wp u8j?Wa~`ynwpQYYO%%;0qX5 sŀlv8(E)60h-\ʋ>(}`gɒ%!`qO2uṕwU_ J<3PK)d=L4 qR[` )װmb̓1?ϥ'9JP|ʒGC͕F[Jq 9'̜2ڳ|(M1dMϥ<% ^ػ<>J)[̙b(G6elk5:[ VGn%DOX(+]HM2IVq}fefd`qcJGkɳ)#s$TV;!;m5xtW=:t>{j}he"+rVOxo<)((:00dfwX;{yR*s`2*\Bjɹ0qHVΤv5QTV3gI>Ǧ>aGX[k'm\mg3%igX %n^8˿ogO;x1}66P&3GtKe)ڗR54`lhc'hL4B1|\Sz{|{?^v'`'%:l kT?~%N͈%u2:L)%8C (,niц wZ[CR+ ax+ zѦ\}'S*d'HROZH1iBoUM w 4ޏz!wV",򦖣\#0˦T\>ʄ'90B:l"wo2[*%5~Glnԣ-BrK)!DJ3.vF,Ų1-:T$D@KsJ9 =0QLq!(ۙ;ẔRhGA;4bKi 0+M6iz#h C ,ܮ̾,ᮅ «'(  QA`^@]R%Ͳe`_ϊ'xZa tJ(${,|GIB@IDAT4Obd{!~~w>}V|"`Y^y~i>-oZ,O*[_i^)'ծ0^ZOs|_+Ae̕~LU|W ~oym\8(4[r툈+%t0 -+o*=#9>({ՋI^=ȅEG.ږR=4 l̪y>5w<жP4$`Ŵ;&X('<B{[f7Nk<y Ѓ {Yq1*y<'v%Rh''<{ }g8ʎ 91Z3)&߿üaaOF8i"lƢ4iP~c0S wcԃ\jnKCt5eEy&(KKQ3@aS4]gʛh~^̯uiÕzJo m֔@34٘W0cBuCGp<Ƀ8sC*P^^8.Y<_ӄ0[k~)g9uUUTOpS5/w%S4>;bl`plNa T+bb^<p@S'௏S(52cj-F:F7sqXM_Db㰨}eZc/q'I( 'EH 5']xfbop/Qu\jBq\,ɫ\ޝ3*τP5YU49&MnMԜpfpWh)˞ϋJZOcf`Ϟ] ~ f7\58$vN?.y6۲FcJLãà$S) ~րe٧ҢB`@kͅр+P\]qbaOP΁B=%= _ Оyu_O|U/4Hb& .#Ɠ6cp}KdꟌf,+FgkIڍALlqTT*me8 [ln,s%G-vݨ{c[VL1knU^S1kJk$F")pcKH$lYܯhòiGQ Ą$%I ;)ov`_v lvPf _Je*tk˿,'_~X 巿Q-gXr]b=xA*)MOrʗ+z nߺ$uNwik/n<'AZ|Dgm1exzL\ 6\BgNdO ־И|iBG%F{s meyOmWP3爑)݋9Rk=qk~6=[vδ΂Dc  ?=U-R-zL0tAi&v؛u>߼^l4yi>Z?A6d{.29u@C"&0aoN ye* GSvwzD$q>PIm &'Ɂ/,߫j`[`b CUO? [<|[ u> }iޘģN[|%YVk"N᧳[-?X듊|]غZ˭Y6BBS!ANc _†EЦ Ya9'[0ftD g@EP0$ɋ  mLrXn  Ǹ9/i?>4s!O!|4oN9)Cq:Ɇ2shpcD_͗N{Kx>Ek۵|X =S(u^ FAH y^2:x$W0~7:)1R\[ĬnƇ2v4klwU|=IaS }?eoVrjKeBFa>P ts>cp`b` 0IrqP#;'US{ XY2'y3ҝxwxV*%w'nt _)yٸxwlU_LN u8{A?;j-{|wÝDbe\pAk) =!jzǡ;S/!B2eHO|6.C( @ Sήzq`_a>b,&dP;IڬX1fm.!8%~Rk vXQ6fuK*^[ܭsHp`# Rڗw ^ 2FvJ~z[ſw˃nygO:"4{ ס-џvtgk%ܽ~݄/޺oN6)1L))Uˡ7l| u|ѧ0F-~zsoW$,*dk:EZĞ* lꍄäDF W<-߁W谘bʌ;Ce{o+YxפuF`<;\%KQi)ZBf4Zhw$a{+ -B'p7@P?#O=]VWj+kmBԌCt+֊@vjJȞvS 0XZ:Q )]ۮ[KGƂv)>)=5@C{Us<, fVqi։hغFsMg<<y^SQi~UZkTs+&JׄufgIy/ W/QqATO?l tC.Y|}3P|nR{޺wgG3gz4y_ro+cyZU%Wú8]] #I<9LnYG^oT=ZPQm~_-޲uFrRk |- 1A)O٬yˀ3^RO+{)y갹\~igV_G)nN䝸ҍk +OkXۃ/<; h: A&WcXTXz[!~Ȁ:KnVIOe;@580C9 gq]c9h1($v̲>8]Y: I~ 8Z % ,DsE R퀳,qSqY%Akv( 5s5K0n?`3pOKcABLcVK/MhrDŽ8!,!pgA6MJX@|GZ\tPrW%',-b5gWCIL녤`"!1>G+/ VaEfYP!`+:DsTsi2"(n4-|IZ{'8g]sG}|V_y%pwWT4<ud/fy\a+U֎WK߁>v vƄ4GS4R[O"\|koN/˷2k˳%@]^~_]nެ,ooLs3q/dyWW^U|~inP {eاg7^ ZumWTybǨsEjo'Йw I6zܦcUZZmwVk)T*-Kѓ?IMn^$Sa``Kq<4qNa_A R^ 5ӝydEv~ 5Gۅ)6xY>  <8ֹG or =דCi- },g-YdfVFٕ=_gO?Y.٪` :;W= s GQlͨiEy sȭ~> X|@Skj`~|Y#HB <~b~j{Ӂ{uaiJ&1hM&w`'cCXm2l)4!;K9[c8a=*n=PL$L8*Ífh‡7}`6u">\(<:AYۘNOkJZsFB1RYUc&~ޞ b{,nudgJAv#j½{,*8Z_h[/by70*'[{ki/x0;Cj?+ԍưf1K~۲bCtg>8ֵWwζ( 3x8! 7.wr# bypj'}RYwLPeNJ&;3֗wxe߾U2: ڶ#F^띄}V=N X]o;޿'s[k`OTb]g~9"kVhe~yd/w?\Yah5Wr,^i0Ao G]cW`EVl) xLq7[wϔLviҘǜhh4{m(-+}:f5dZۘf)`Yf Bՠm+fqnXn.}C|sYQ0XޜނRic cICNccQS4;˿%f[~[o$>JK7Antbe$Qhl% yw!-vk7xuZ{'Fjc"_r3Sdڪ8eHhއI f1Dm +G:8CzqGѤC8'SJ i_ƙ]Z@7KIS0+'Ov*`˶ze1z[忣嗕O~?b._||b”5StUIY[_}{rW[9>Ò*z{ur JS6#»S>.~{~\{Z?o~=&Ӊ'jمOHx9%+A^o kчJw^PSOO;wbem;MVe[b Z[ `leLGobOKìQP(ܭU[W^ wͫJ# 8BW*{!QB9PdPc?zg\yx \um!!egFJ"E 6a9el;CƗL${ 5dD+gQ=/}xCj U52m|N3Abq Eͳ!Jm pBO tx;`xO,3ޕ[TU 6cMKylxpE]9ۨn|\ gFd N٘5?1}E xPOʬȇM 8pupEX]vT`©sNVI=e| i9Bv 튛O(=A nž.Ȯ`V0՟e5K/dR8+oX cE`t p0B+HefNrcHQ,Lg 2.8a¼~ Й|%՝pX)10@`< ,Lik m pN7Y0 ?&IP5.=ih%=Z[>6SqsIxSn^`yuNRQl ̬I3g.VmQ Ÿy5p3EK 0'7fY$T=k}gh}`SM-jF^ 2ckM'C^bBIL30n^AQ. Y+JS.W+jnoOour_}T^ab}Rr[q;%]U$jIR J(4[?CWqü,;y5T±7_Ѓw@c9n+f"Dkp7Nj=/zBEDAK}R0^̛pW O 0p>-*E+2<|^]o]z 8OI8nd7ج&Ww.褷y$o\Ȉ)$Qv|9/&GxpKy9`Rꏊ[*W̼v&0MYkN۪=lKL֨rX^Y_i|dXzB'`AslJ}0tf3(4-< &pp]\?{1f jib{).J*IIvFU1C(kCX \i1(cdMѓ{7p% 1pZcqtQ^ʍ )"ÔKyX:.YߘɍYU#ĮU ?Us-)_ m& y唼 kLqpiv!.ᙪ *&"C$NyGڲkc(c )V m?ѐVg%qqcqa=f;-`}灢:1R ^=y0y{dg@6RH:4{{.r 3g h}PĵXkx։y%zF;sWϛVC#,!&긫B@8/[/ʷwUn-wB\oW?p jAhkwt4E<K;OK0J؁kkn:e^\μ ;/1uQ0lUc]_:(˂^m^ c#YZ 6D%{&c{h`jhLR1Ì?,OuN ={gPԼS 8fv]5C78][C4/̠{v 5Q@ln׮GO+ (cJR "VJrIYA37h1rLb&11eA~Ӻco? N|)AfE(w\\y1̤X@V4(VBlY.sLsh5WJڣb7-MVBRS_}OzY!z#v)Iۼ_}|仒򪜶y.nKyy)rp|zy_.^ynmu^̌se>l:q0F1nUm|X*\rqµ3ڟ B9ay k4)6[&ё`P0r.=oQhf%)(hu G@dI,cp2¨/# SH#/=^QV5EĭT&7k3t٘ _{'\h}3[ ϸ5DW~O-fJxڴL{e{=Dc2E vفafNςe5Ƅ+.weds# ygwR*\{ ϊ{('3Wz*:O<+k_xi(ɺ5$zg 80g)ۭmrl|\9!4ufvfLʲSzb!Ex.e)]3]76k;UgL[ '}h&vTYwax,w1HbNN}P'nm< (a=>XõwΣ TV*hͨv).`AB# Im(idHuXAR` oI˚xFUX.AD& uϗ17̤FMpk= Y{Η$tRʍv;\QL% j caM;&'2v^X"!QsLa0L>myo>b®(AI*s%2ںaAfl1k͐>xBr.y Ŷ)"Ě{^se,Ϭ#UBe*3w/:ړ=.vGbHY^[3 bb?UBO Acu4ޅSfjTv)Qk~-8 }.Agw=\nu[%*ggd14DD) /bP ,`" zXh~ƌ(u!&0'\"vvvڼ=̍^phwN)f%۳޽}WJ>ᇅX3ao,>+1uG?Vf-:-oA8\U.UWz'P>,yɏK89D_Ģ%}#$n=cGM^pZ F=; bB5>38("g7®B9j[v  im,|bU$ZQP]5O턧܍TI FrF\dNsQ_ƺS^91\kz$Fi=)&%l%/{문~hs-6 ZyJ)]CzpoWxrKxA>m?knM״vzS//Oz@+UJN%Lf2cS&|:#_zS ˿uu N88whM>Ap4) ߋIm|[ç]$l>l(SQAyIF ϐbi53v^qsx6p;ñzzM.O.GZ5,O2?@Ɠ>,Ԁl <_d?`89WsCUxh&1(i5Q@ ES DGa?0AyjBCVܸk16Y3(Y.Vۣv+1<뙛BCS:y[|Lk1J*f*T<C@sm9Dhudtf܍`%'651`gѦ9K%;+eQ_F$dVfCuHqѹ }`iWsO01ܾؐsPLYl ,n1nZ1B5 fE\ͥ,bl] j8_e|)S]wGf]'"~c ̶Vpbo>JaLQ9*rNNpЅ(&B`=kS-q1B`@I˧>_,S ՞ݒ9*/R%J~we?b!2N|B/۝EP`^ ^Kl+Cvr?}vo;*m\=޼ݼ}PRXEKls*A W^B=G^sp Syobb֭c"^E2J\)v?[| nmMWc)KSK8%p0ZaSo Irȵ }(_LFN1*V!tHx}yӊ <]bY3=Қɿ[/ֿ߬~62p#RYItܠa o879ӵ,}V59($^5q@ W#J HjsG# eyôsZڦI+Ǵԝ*2 0GrOƊ&_{Z/H*>QҺ!#h x9hy)I6X YӎjmO0ix+,hA ͛Rq Z>qZ!FIo=+|ֳg79ܭOvsgD "镾WD߸%]mKEk.@ ̋_uջ!LcsQ0؎a'uZ`\qb_`gܳP6Yu]0*XNz0܈%ŵ/Wȕ.S ( N%+˻o/ ~n􃔜/5@^>{vewg7η p.A[$q'W^ܾqI-?79;@^~m׹f/UO>7 _znQYΝ"WRjB!O\Sb?Y3}vu\`~bt!Z wY:9lmo9RMR$T!#_i C܎ms:sU[NcއU`\T445Irb<faX^=lg?$h,4IcWzYuKF7|?Bڽ|em,評*u$c͈(lɠ>VpqBneY,E V)64#X1B< $ 5_P-ĬEլݝ+Mx GIe_=￙{Qd,4I:VYF'pibyXvKkw7^y [rOaᏐ%{a֑5^X0Z1h,YAסTvӱT4' "F 7#xg}̮=<ĸg X4f/; ~]31N_-͚zL9fP\N)Q5!eV# \2ƌe~n aW<ۓII7s NPN+) 'R}hqՖQ',7`1gD!2jpۢ7g-;\h^ы[˯ nMs >#RVci5D_cS ‘09(|<&| .Px'/ppּq=ٹp5DI]OV/x^}jVVN^GQ.LJz9)B9) /R2?X~I9_+8Ǡ43i>c8IdۢPg2V%+.9u^ 1'?x +-9m Yfm-+VsЙXc ͕X?mYu.sn2`i,pe}OfjɃ<͙dq6/ %}.71+ٰJSu]Qϳh8N5F5:yzڟ;K EiqKDD4^`U`.bBAjUSDjSyVN1Z[gńح>JPoM d J.EUp)I9 )OVLyU/BbbtzvzsKI~rwyvw~cA,IgO;{1;E̞+RS747pA?%N l4잯R{_<]~nl+^~Ã`|זu9h |/mj@n7t)3"}UI9(<[v?<[Ϟ|XJk“ԗٵp=F`jQd#Ia'qtrH1)Jh?s4,P17x+V>܎פ獧N&1OF%4m6_ň?5`DÝHqN uz}՛>j﫱 a4|~cٹ~k̈́`5}S23Y}ݻi띰nser;&e_yɲڅgߧǒb.+u#87a1&cvQUaBY,`ZxKk6{1 b}0.-vDϋ F2e7# ]% [)Tpb\ (%xRT,#bRSR% )ߏlIB) ;qF `8ZIM:l:ڶW\,.qP̡iFi{bC Fcn<g4+G Y907%P$~D|&3>w*͎6LYo|܂'(̓h-^N cdvZεEh4(BXTځ^l7't-sgn2\\I՘'f҉q}w'£k+O`fx 3틍İrS玂Sѝo<הK&ry a X<H[B 3.9VI~jlHEB2 u;J"P ݧ_l{3QgazWpϗ럎~k+7_ߖ{^ހJǿ\u8Q[y,~m[oUѯ{z_-w]~8yqJyb%ZC籟f&Hc|PϊE`tnA~|\Db Hs룻(_;;)'NbKNo^ U1LVTcD':M\_WxBJLVBR n=! &Ìr3)@ϣѩx ="' 'ރc; 0?"-5OtY" UW ^ڦh]_ h } Ҡ 7C9g;@$]0^Yy٧O@?%p(KGLyD m#Y=@:lo~u:Al5d#\ MŜRϟ?^~w?nxis ͌vfޱ{t ֳhIȭYK7ψ,H!Lj4xpY_*z:x Be^1/ 4غ>­.2R{,\5WcaA.(!v+84~;ȹ]][ywN~͈ۼ84$ߌ}Z&4FijmW]o$LN C,'ɏUjduh S >wmz1An Cb0@&g1q#܈g:q\=/Y!KN2DhS/8hݑ%XtbaV!zgbpʵ3 .vK6ΕH ,ZOyOAs> )7`1E Vɭ,{+_^*mAф -Rf'ccgqχt\v Ѕ*Bi'>,~5,AuYVI%E1g^<0 a(_ {0q)ZϘIZ1k NR|(>59K~%4{1`tU_¤ĽJV0Fu:x-y/+lEO|OlvO3{w^|t/0s͋pfiH_nu&W|8^|*Ą+cOwNk)q>-9X5{?I ~՛PNÄ$:5&59M{OsʨGW|HM9˩okD7JpFWc5s~tW†;7vwmBD4'y!I}aٷ;_,o]zWeҨ02;CF[>{˭#)t$G+QI;YWm;C8:ZPKMn݌M?\W ?>(wI/-˝ K˓t|arr;#֧w]R@gc $dGk4^ʓ-؍FD>7؍lUc'`-޾˦Le}:^Ԅ:I<+0QYB6DxЊ$k cZ&`l;zBxY?G:ᝆɩ$u(׻k*5R0=[ܓ24G.2 aҺ-J ɁۋOiaZ+9΂Sbݣ? emyxֵ˷߹ܿ]ȍw46{[eWzM۝g zzV^@G""~uwU /Ǐ< c. UoM/UGBV޺GR6wV$p0\% Ry~dsbٹ_Sq40O υЬg]lhy +u*ޅ's=;kR'5&SFbP":H o-#'AqpZ4/,kp=+ 3T aڃ{ _hׂ4F`sKs ^Knp+?!"oq 8Nd7UwxrI:lmǥ~>I=\ оغKROX<kȮ[ysp. G)/S5ᔽ` ٫Ez2ܕ I)7Sޑ`IsDlo}CZhjN<Saxe\Hٷp+> 4!;teC&/?3ޭ}sñ^kcl|y⇓y _INnW!t!rW0+Y{`rGgTca-pq%FvJ(#Gh;nr&iH:?ڠ]Q0.JP/ eNg+1MZ^gYi!y `;!V6T )X⃳эy넫"0&.n->4 J8pMcϟ&Y]Բڽws1r/9Bc V"LNc>vBt2ɭվ˽6vM DxRB030[n^1<l0!8=~k P1L.r zE)B2i\J8)V JՎkPJ:  DB}cNpnc^as|}lp`Ǻ0Q B| 7 lBXf_|,Ԑ$y"l->|Y3 Ϟ3WM~w?P{u'S1Ie>\<)\Y,1y %\ "\b)V}Csp Vxc5N?caMUl}vnʃB ?}dz0~gLJX^"(vg3S(d+bBEW_btYfe,,[b6H-]b\܆*GVWw G 6$7À(BOqӝX_}f 5"( +)k%PxPR`O)u-a,chv20eDbXкuww~c]KO^l 9Ii<1hq&ս握y*8=Ϙ=.s/iJ7RS8I{(iў{^|_{ҫ]>bi!ƯNuZ|685̌%Zu?(ǝR"*ހgߖ@Fp_ dnZSyA=v9G`F9my~πfr'sxKNWܧ]vk}B+]d+Cq}[e|ox7[͵+t2u|٩lUJx}YOg.ՌK4О-^fI.EYO|70sW1_ Ie{LZT>&bM?L HHqSj 1L;&ibh d3&Y<;٠ӄBz-)Y-ZH7\^% N>J%*dCl&PWGoU pE gQfr7eRLZzs*`3I} JdBy{uuuD'/{ {>e"WmlJ(>.BeUJJ2c'2%kA}/z z0vP >`{IkJӽ9vSn$$`P09Jkz{ @Uu:%3 5UW Dpsx{i}K$@Ie9J׃kb=#=xPlت7jQcLis9߉y5}*Zox8~=6#ÔNK\+ BF\t~xt\GߛU<7_|bv x/OɅ}1p}=|5::*52+^wmh6j.[<:1@~T5AGV`/g$ƀW6]o4G]60^/—§tfɱƶ̉:5F Ϭ50g4^OiŸY:ˣ&̵ >s/:Y ᶾ in ! O{l .MO'Xn]9 ܵxt׵7_TgsB9h˦z4A%,fSn9˓clZ9\6 O^IĿ;n\6{91z@-e1,Y YAi1 v.JjGc+k1^Eŋj9mkgNÜBtYdSl`MAu dUMSZpEL y:Xq2'Mx.k]Vi}768ɂ+1;հk)"%A"&',CkJ.`[` s= |<]rBvc}#ӭ3o \@+ŷkD|̽:&qbN[ڶop?RgCm G(Ws &N1{W䣒t'{ckW:O#E(N}Z Sl=\CR˓zV}teIu_~*~ML?iV 0<@s ྱŏ?tesd/\sjCw5JX=-~믶>gI ie Lcg1#i>P4&lb~X,KĥX^̦Oa3OBJ륤 (B^MŔN |0F,#*.Q %STڿ µeN2ΧfCh*&2w>Ç+ q4j22Y_?Cbڛ!:~C/h{m fJ_O }3Xc[9Y^dx, kֻOwjC.b57 LkR%:xRxZVd)E<)euYRK,?+s<3inоT\MzVgT!۶sP1'NDoO&d+$hrT.sVױ¯7ֲ'Q#@B=K)&+G{l&p-tru)j;atB$JQh,Q$+%IڄL';n,`=sNɇŒ1.NVBX1yV&({^L~=-BmCY Jغ8hÔ&W/ct$-ۦ5͝˓+Ij 77QkXTE84͘Xs asb!`|Ә% bZ_Tx"A F8jŽ*CB!1exO f xrk*cƹ"Esam4%kʓ%1z^ i"@6`  S[LB vs4k?ŭYKu)z\em_f< sYsWcub},>ǽU&/M)Bbn9M>/靁5u[EC!?:̛/0SaJS8u} 7 73%xNS]ëʞ|O>Y|V^<+ 45rL\pm,bFWP=sy00@_8^4X3|'te2dq[/c\sga sq[eW&$FIb4!H΁哛]I km-\p$`ܐұC0դ%M1rDA55\zr;D^o ?q1r%^Vf$T?T޳_TDO60 xTo[~_̎ rYkKiurM*/a:{}uɧ_.w>juӽѯg/0oRt:5jYjC|Tዔ I#=Ko{7U8ѐzcƒA-@!cBB*CX0Ģ`zz&4Ib]ߒ:f l q+>|̝pALM)Y0k}!%[i]H98vt-G]>nDJq(1x>H\~'\d:.r\ԧ$N=h`Q̧b0(8㤊%~o%lJavg<̏61N0%R(;#a~6i&ܦy,Iy;%]j :6(=1`t):$O(C%d5e3< jڔ'LggHMHM( XmzXT裩As0NH+}Jn $0m;/H+ kL/{JHUG, Jq|p7)S qqa_E!d',o[Y1sY qSў_xO3!k@[7ar4Зk 80RDc`\tƂChq9ͣs{vB{~МSZvvK&*?gO߯ލ~%8z ~&A1A 7Lkh k޻p({.!AUU=OHKx.@tXg5+[sAMS*l_h\z(V6ib$c{% (N<*+‰#GЪ&QoYsD{C)C0'f[A3d,:^$Y %*E{l) <zcgᯌ͡9XH>qN FwBI/"+2R|[Cj$<Qfuڜ;ZՏ]PrTG+Ly|3Qz0sel^wqOj0B#L{)zE My63$ӑhgu԰8ա0^X43.2xCgx}Ks?|n巰$e[񟔤4/O ^8/uufL9נJI?-W&$H?;/'տ۷ur'0b{]T!6npReTlS@jBol"/1CsvĪ*A< xb㑾]V})ߴBVO`/(ascO8`=i)xaJS4c#2N|Ўٺh;NLjXL0R 6@gU0M>n`!n lń#k4,fo(Mc^R"iR FOlZ]VMø `B͑Q 9kk [36MHeZ{?Y[1p4PjtV+-%2 ^ rV 5LZGDeV{ci }΁kZ6}%YZ7E)<2$QoxoI&b17ϸ$$eke䳔`㧵^"n`m/ %K!jA{tC(1)Iop1bfn x:@Oyq{ jg(ݯA.|}cD&rV;,o>9}c޷?Údy*O[ژ-^u"ibl_@ z8ݼ> q)g ?rQaNݬ QExY;)/ 3L<pZ_wSEyT\*:A} by$D[غj4T.gqe8,}X mrCR60t|~躎V!yA'Iti%W֮ 04AyS ؼj-dy%:hݬ`#Z|#ʙ$'⇧%7 J| Ygkx\ <2Jߚ0H0}Eo ϙEza_8.{|=>KcRg݄VS'weiL4w7Nj߮QOp5.[d{T#oq\E+Uu- )-y//S0|F+)M9Ș:S9,e2EzQ dk 'CVփKϡ? IS胠ܜ~YkGTxXc~y(yi*FnLܠlQW~{yy=O=WDi\![]_2߳L 6QVrSɚu-ȂdQ ڪ)P3|VcSx$&9Ls4ޛQlXB JZzU .K)_y^n ~sa^k͙Ea;`t^r,&e?n)8Eq0hW^(BHhL ؆a,fkt-]1%wS=wA7~JY"T0Pj,֢#_jm\$pR'WF#Au i:1GLP|u{< r[0_9IcGRhiDYt|/,L0䎎閡)NF G.CKxa1kNZgouOp BB;Owy` YM/.w#JH(~ 7Ń7`%zӏ?gH4<F/k\xm̍R*ÇJ۪kX_4W[y߄2܌B G /9%tMcxzO<ܶp{l6k%Cָ9?OP{l~ >4zk|'TzCPgBr &{O~N̸|Cd`o`bM<ID- C>)`J%)ȱ/&ae{It0e?|ЮVԱX F`yz|۬j84j'D hzc2^Jofxv=aess ЄAd{_Nt7rSܝbȲOW'ՙNcp}H kn, JR83!++IP %(f<en˓wfyjG1d}:&buXPŃR{Z^eOz6Ga 4kuUL2d1^,V0 qJ4nF[zLIj!p?3%vg`K {Ԩ4^uN\۪N0Guz?Ywso޽;Y1F f/AnKje=N"tJ<`q5~02xQp,5K -}uU~9wk^i%lu순UYu@IDATýūBB"a(%Z׹xw5 Oq}/8ǟ>nYlL";U!>;Ryps}\p]FMl|81Sܔ?-9<'MlxBv=2yVI Hsz#zB,FQ)Ug)ͶgL!!FJt‘6p֘ҫo#X`^D,b uJp>xӒV ʚV+k0 ׫`٠}eHwM8gA c㍋/(O C+ B[2/ӷsՔ MRHi3>{gp)dm»`ڌQ|($Xx<5<1;58xLئxEHn#`e¥ N;HY7Hc7eOp1Zf8 >#;`2&ؘxLll)Tp+~:'qw -τ+Ǟh8k7zXdF?CbZt{* 2O,LV{f܀̘غwqZ\[/f0;AuEhOo'G/?^6щ67d/KH[|)lR.XyDgYIg H&osUg6W& ]z{ <` Vu6J5ϲu@dN0ڄjy5de4>z[34=QB6sFA}q]s̽*^ϳN*<7,))kv5 3q*`P ^<\P&O =N-Zxh+/>YJ:I{ߐsF; nYEvn,R2tVkMl`sM8Bx8IS9].P]\=%G`ʑB u^sҝx$Lۑ=rZr'IhOW<ע|MLg{>ml @os?G!|x4f,jA'q ;(5#9Lȟtj)Teq'ܕV9VM9*’(u#x6b֜SkNk$ُXx!`8uZ+DlpG wb 4˟(Mt"`~<7Y◻ ɧO3 #[k^޴gOeW{- b 'yx.qiۚ6fcP//Ym7CwAx# . t*0vV@|F;B޽epu?s μ;ݣMFWO4Ϻ.%8 t檎FyX_BW>j{3x:4 OgN*)0Y_W3?w%~s~/hq뿽OfX d{/ $i/NFRL4j9By^wG:^ka`~&>쏯qξ'+;c2 :Z|٧%;ˊsb`0[sGEcۇ&#aۗw[²}ҳd`ɺ{3UBpn׋?(y ~/|Yc,γ/}ح=[YksS~gӦ~-yD( s h!< w}'M:˒k&u^us$K&xL:Nfݡwpם`gђ*i?+0:J\%U c%l7__Cyhhܾ-(-bb;1! 1p-]tAܵ޶=K}Y[ֻx*\T{||.%5X@IATuH${r—҃!3y?7GsͻF9s wy8LbcB *E<ɻ.FxsgsbyÇ𻎧k^r(C&( }Kx`];`b>Ђձ6>MiÔF¡a*;|>>~\l?Sç%r|z坃O僯J*|q#ŢTۡXeѾӑ3K1Tt[6SbUtI,p&`E_u1끅wJJdw姪^en?pz[ayTYJY .q zz`,2qQ{Y1 f/Zimq?{//F0@\zzm塓uJQm^婨˧^,J <Q(%]XG/GY$QyPҟ*`ؖlC&lq;6>b[ ~ 44Z.r΢pkL}^`wpx fGϋ LXo9,|.z_e HXo(H')q5jZ|Y29Ѿ#x{eҿ8*׺xe!d 8C 2E6o:uAQ\)!fXyo=8)S+S 2Y]^Cq~SP"X;w=\^8Ɩ4)CqZԁ78t,fj}UV7׳tj09*#ZX > w^{u>𦏿gP:iN^4kt4oW@/z{ ѽ}Ta/׃qV66KjҹN$纖g.g@?͏5c . \,Zxz gX×LYc:f8+9Ï`KITѰgGØp[v1݃G1c^r'$bQ®O Si!>Y|jp,gB9QpVgp2_$0KӨ6ûNXz`$PMIW*f,,V<9tt]߅&4<)`Dxzy1ۧޓ Um`=܂ڋe󕻅5-` 8A'=nCB77Ryz'Kp'y!A{67 uNL pƀW(R^ia;ዲHn w_-ybͱ#cfċ6\Llb]w1jG^-{+Z'|< MX_l$]5N8IʏC#|8 ڶ5d(8:}7;\"Fx!@b,nvw: LyD.g)koƖ}V6h"冲}@YMY˛y~|7v,c'M}eUOGvvR 7b30kI_!9{#z;J_:BhloMPkHv"哏?nGcuF4V:'_'X981gUuSÌU˿^lEET|#wZ=ğ-YiFҽ}>fK L%aZP 6h_q}V;>&{f x$BbzYʧdxxK#<i y0x`뵹,t\jQ]hg{l9#L|ӟ.5=&FҦ/`B q4W]?\a F3;񞧀㦝)ZI~ϋklnO&YQ!ov=Q #hc\ w<7NW͋f3gG}bb1M\KO0k:w2`6W) $*sIJpd0JEIXo5,&ԟ"k o:p2kSRMEBL|0 t_xUrnN+$%9Mg+B7Zs6!/^.M@${FBO!q6n4.nn))'R~ӘO^.ޝ#y ՌvCO׈#$BIW,kxcMxEAQRBseߩMOp&l?%q $aZ:b\ԡk偽t%Sg!*@gḻLQ=$B9adk|R1Wy&N{ n/cYB㝃S 峲FUH12/:xV0 o.c+)sO GWu|yr"PN6O ^m9 0xnj)=]eĉYNRYfS^!1t:Ol5h{% 1ҩs,h))icԄf;e(w_Gv{WYs^ [y;4 PP'!S|U5[=sd:%k{su frnlfIS(] 9C!'1]g>~ ,9 ;\ǥEӼ{~K^ 2vFBl)h*)#71hӬ<J>xSU.y|w^_'Sn+6࡯@nr61#49ds{YCA n]|;VU)|eҌy~@c:kix"뚃`05xJ([;)Ynĕ=r?˫҆>g.) mF5i^q r+$ģF/5Q2X؃q `şhRQ(9_F[ki?/ 7?Lx.v.] 6v$y -We?x 1W\$"lGm7Gi`X|1O)N8bd:K|HDbˮqp6HWަRd|-{ H~{@nƛ/3(KiާlJ| <7g`0|WǓZӎ.y3d'&Z,9߷ \ͅZRJ C]{OjxJ/(9){[$2kyVwoNau?Xm;&li5Q4{m6v|ۛ6yZpo/ɲMv6 ќXXF6~ T98k :6@va2|KJmr:@#E8 _"6~a1im& D)=# j<1~7ք{k4G%c^#  LcJ$YvJ ރ[Y;;oB(m>E#PYtڊ8cSM+(:$}KeDEn;&6w/ǹ&K;&̺紊AeM]4j;ysk,PX.YWӈ(33ׄ/&{ yDGaWOqpxDNsS {/>$Y\V1.ҐOyykqs`hj75v9) gG#ԾzG59 U3op~z4V7s*<K)ǧz?x(')*=AVK4zr/W#Af^ܰ|޹HXd̠c 4J TuGSLB.Giymns'1N<- 7ʦ{"qd O(`ycZ)Fp[} yx! M4h':<FʋC?H[ #q)YMVM9K 8Qz4ūGLlhݳcg*u*K\uy1KJv X !PXg6^Q [7m 2'c^?)=(ȥ!|w%ַWL?A57Ab%{RmJ^K7=2̳Z_=9IK4$;K OmƯ/|Ϫm/[_mqxbnx|a%1o!Y%2ʸSJʵFa6^|C;v-;{n~rIU♝c7pLݵ<#_g%E4ˮfae;(\3gd@32Mm]-!@/C>x6>e2Rf{izIn^.<BY A6=Qc1h'=p Y=brd#q7꡾`JzweNL"KxK6$>Ǹ"Y*Z}5d#$$fNa-ˤy)&P kheLbq͟t^yl&y'L(<Yw+TB@{ʐ]8dP0ԎKbWX#eJ8YUW)*\`]_'p{d$^.x~Imb zJzSP\i{WYƒNr{|ٓEໃC_|U¹G4!=SR/?!|Pv߿E^&uPj*B4ۇQ{SXq)[E Q/| w+=S""waAkmoz E+ {?*xT5O( ((e?3#~։|QT/eG;mۚ:""aSxɳ^yłGKiMo+l}+;a l|y0>cO^; mjfԾtJp{$ Sh_)!<5d/RbXZ>s4+ߦrD-wnBm-~cwP.40Û#&(PBq_xqڅz`?oכ,rTWdۯJ8 !lܦD;5tuh՚|y~CkNqn, =FXIu~׫c'$w[ɠ!hy qr뙹s.]|GNxML4Iޣ1..at] ϧnߞN`ku5kn}5n'b$P(X%}27p~S޴OelA9_|a%v紀ZQb-> _ UmOZ5O7O?Oohh?`c'#zoW; ¥wvnO9EnPG +$tU։  MJLpd@$nL_(M<`Kz3)Lm9vzCsUn># "Grx6g kbO `b M趄t6 9} \4xnA =\$ulP( gΧ|[=QL r͞m-K&NNPNΊ+[ȯiQ(F\GM`K.ܯ\ƹ95l&zx(>@q!A9)h+J4.nMe.mDk.O86 $ܻYf{C'"!x ϟWv;Nyﳟ}ŋK`˕`wǝ5^,屄'!f,~<(|$Ɲ)** j"n?k|%nj+|N wLYϞ:Bh;z|}H*[-ósX >K1;kj<2BX-y Tpe3 1߱MumFjBkc!bȲ'? t!K~5fYTX^$^6tUw^w@œ"/;o:sx ͅbo7"kK #`5YSn&[LBpy_5kxE{=r6ɧ%ao* ]ϟsX{"ݞA0sC >S>\AiEY߷FMP6ꩰ^G5 D Hyn`uM3r%/O+Lv( avSiʁh>+Nʸ1^| 픉y&`=ʈ]x 4ޭ\yocyztrKۏ w|x //>S1F>OK\8FS9 zC485nb:gv=w_!|4ptl>>]^dɸ j~N'lbݘ*:}X{_ XJp:UuX}BAq/ncY`ZjI3lBJf)IʪUH)Q.Z+F֘ʓNLE]uY,wxWhĉ\f9GQxL_Ak^ZwtQ7h̷5G(ʵ\rxz٫t<['bC%^$NHWQMh_nW~xi_(&1 Qk1}!׷A"c`Jn4.ȹO+?Z|7i܍`,Wiv˦1y?(1)njݪ8=-ǟ\/\A 2e+] p/}ynKX(45Ҿʒ9ݽ g*@dW!Iqfw;@(AXsdeqZhm%.C'y\e.u]emKv "q벨כO~x2vZ&T/xgp>aBLK6fiL4CK;߭Ӊ>$0XpuIwkJ2&0M[hO#\0HeM{'$Mnp6Lϕ\BYZeoak3d5+KApj bsRkMw.B xP_]l gH-y`ouY~̼+K3^Yos =%J' ۖg<:U<{ /kyNͽ>7)OWUDOۏfBuZ\3nj%ӺI{;_<(pc|X{mKJއ<}{pTGӟٟfe=> TH_"9)6P(ipB[5A[KAOBMUpWь7;ynnW`M@e9XHr9 f1VVHQDZq#]nf}-f Y 3V77iV1 :u!lRdZL 1ބcl-:F[d:Llc| M"T Cr N&X M5hiQ#g) ѦeS Oe?|?ZԴ NnoUyFUX),i̓5qm=A˒Dv+ꨖ%u2ƙkǡB46[_w5Ȏr .,$,ϗyA^џ׺voCˊn$t?==,0m\dQ"NYQnS Z{vPJ{pވƸ.`Sħ٪EI(M=y99mbu5t g_dQ?r{YkF];AS0p]OrhvEz ׃9w6w,aܗYB!޹n (wjWRh^D eE?"+vns[޶')pܒ;Ux vr>܏Umyp7eP ]x4Cq=>s%$iԎS>KAcbokD$vX]/XGP(GU?XSrLmFc;ѰG)~Kh%GRNT7~C.Ff~觩Lٚ%i^{15qz3J| ^#h{g,FYhe͝ 68. ,IE#xL^}A״)~>7'p$8nek=pOU4)pwj;jG[yjufEgHHRsWRM [g->z%_UמŸ;sCy!/{5sGз?_O׵6ZG$ Kn6rPu{wڜfHFoה`u1i V_?yRq{W)Zޖ x1>oc HMXy1ÚQרVȑ&s2 f},'*+`f'5_^>E uMcB\zYH^)H]C0Doa6DLl>:vHw$0/߅cn^"omd<kYmL @B0AҷEwqr#'4B gcS#?N[Dbw (㢼 vk8rHhO.=gq;L= p28n.STL~@siO.c3*<ܛ@J5To>'W}, pXvfT*!; ^=.ۛ櫋8=: X`ܕvVf8)?CL~'˅zR\)J) +1 o6Vfpֺ$Q6S` ݳT>bH=w#'a}n\]4" ^G2Occ_͉oΚHgr3X4G<'cfBpBC=qJi؞=/ŗ|hN`1|k}ƭ6`Qмճ={ſŏ~퇋{%:ĆLU7×_|/X}^-2 $ qr73b|'%^#p`/|9BGWpk]*]vyЮvRb75h>?0i;XZxq?Fajۛijƀ?hcj N }0:kB®r>[&%+Go!T&LH[iSg&LRp(GY#|7|@> J<%N$BaXm760koXL tT,Ɛ"I5<&y4w5W>_$w!~BJYJV4v8CYF{}+ݙ }OJ&^)ˁ )w ԃgY>/MwYSsO#(5)}Lx3׹FgD7%R(Jdt#_}n˗gSνST^Ecq*m>X*-v nVX$H1{%4zs_LnT4 m[ $5B(I Ns~\Hׄ^7vbjXX=ρQz3 8l!ML /;ތy=ӝf`eec9RRۘ*ϣn#,7?ˬszeϙuNë[Hyxhyca;p|ҹ^o-w>|'lqXwOd,_iޝd->,য়-OgPWif_'oCxZg=!4&'hu}0 w~cT`L_U-R҃ZA|`J~\k y'99 |xor" S'͜1ƭߌtCnSҥ=QX\\ANiɕ(yzFwEdHq~x^85yF8xhLahg͘7FMCSYc?{z0vcT6H"{sY(n2Q2wDc"7Ym1!%YeqqlvOu1RK+N?;=ޞnFk* mKkսu&Kᦘ?eeOyIճfqbQbip+ *AF $ V?4I!ؘkYkmm]?|]Og%L^T9O{=o7|Z*+E; i tל[~3qk0^V' OkĮ`Ua`;<h0vE>*IaWOL\ Yɀ4m\  `j1MFs+Skk2J ?=,ЩX\Xq|-JS:/ ڳWyR8X ):,,iܡ>[8`'E57g42^WU29} ٭o/~EplSbAI͜CBi?I51%H)26ab*!%{wɌ7 58ѓO@$6X][ZUS(4XZF݋YGXh?](܉%n񚃼mp,zj[O@p~LbZ`JMe'"lzfn=kW59jC vG1dRfZ3'\`=x0js6WcW`oѹ[\[ɿvWg =^_\g$\W.^+íx|3qxZ$o];&VSIƥ3} 0ZcZVjKޕhH:ä5l+? ZSCBB{',.h>e7UMx/ 8 7$ p Pavcql$-*%2ųCH'L}Cp`ҋyۂOK3" +g!&K*1P(U=9N:^gx[ǿ?/Lqi8𭫽_VGͩyXYg0!mۈ ( rX O{fzfX A8Id,%*%']rR?GrtRR)*[.:[% )&AA `/9;sv+|f8HNmBԼeWҦ䊅C<})䘱;s&:"lp%YkaЊ@&S誦YshՙP{ڋZ3mV i,/1FZ5xg|:`ԹNh Ǫ75)">s`IY$(@PxG@+Sr8=9${ciR2t19)XT:]7(F52xl#ա0Xw&Ⱥ i ?[zJm2#>g V`Bb7F5a0#apj"~(X+VJzcIJKqpF`H&V<"t/cT Zduoe<pk?)^z@W~fſW36o \p[+9=pRNl˧g,/]ʹH0kkyjfmyQd~'+}0z93`wlyEfW㳱r}_?\({4%z6wVj. ]a#L}ËuѥqCUm #D5,bQ tyrw\=rn} %10G_E]NؿͻI"OZɤ#z3(kO_qi /-YUT(>r^ ?_BPʸ\{_[) )AEBtBHYk"Oxn;@5ƔQS7@gXCYX( qozN˃8JT5\?ȇCO'nQoli59"kk+kLORG \>Jg p⽬R1PW=p,`?ԝ`4H{)uR`?V[EBR%#0iB]S,׫v孆ݨ-lmyGau!rŘSuU&t)6Rx/FTJ.KQ(S"E)ۅp35hUSp ɐsPiympe,h;Rpނ^|yMT8ڎO%낸qFӞ G;J-_J s(@žt=p8=7j2r9wBB<"U O7|w9 :x{|VtEsoUp4SۍnJqFB{9Nx4б](0xp-Źw2Kq _?CW/ʷ}1 Ƥ g[BєX^y#zEWH9@ {s)$K .^ON2턻MF}LS$w)p)Jg(OњzQku PkS`lܮ8__nfWMM;. \t²Zv,} *2 _顫 [%#Ͱ"!Sr[8CQO+/{A"K 6pU0DsQտ<ȻCǯQ"gGN2RJMJ`BA׿GA8}K·HF0G12g֬moX XhA6S5*qW݂?xT@h:׉;a&Fqvp 8{GG E97cWj?Y8uK+y=j`|\>'K?o:ڊy^<*?|:,@aw}vm-\*Ykt]0f^ "t3`!{EݟNiWH(%O~-\&DTn#0mehB8b%h]4|j6sEwE4cZ~җy$_\*Tyhy,>D]ukɶt lQ,9l#@ PL+s|靼,C̑riY!G'aY* S; A 8Fx.D!}$,}A,>zQ Qen &g 1:֛-?mzf#t'o?A;k6fJVEKU۔ŋ&0^ HCvJ**st=}&eU Scc -8*a( YBԣ^dǑVzhD3Bgs-S`~a/Őd+$}MW.-ڲ:5ĈA'϶~&|~!v1 Ƨ ֱS-vS1)|^Vh>?!x( Ţʕ 쵞y1耧"Q55!)#nͷ60A83k+X:e? uh㭫`<; Ȓkk7" 0I;Ne)VnS?QjZAW9Qdś_+Hh*]!SVܹxss l塡hC)Ztta/JѡF_*W/]Hn4*REI:|C{{xd\/z>Ѭg?"o~Br׻ɾC\пO ٖ+=:#Wl,xblK=tiK#Oej1Q(ƭO"y%vS0_?mmFC 'Y_H'Z\x{+Āx3{ dE4-O?M=Z6gGECױ^cm4;tܸ=W3\M+ 3ptBNX7wg>k3(n`go)oo53孩;Qo-/U"T= Y'~pNSl33aE e;S 9Y)#mL)ϛY@%,~4FBHɍ>a#}~p촰1(~/o MنɉRǒPϪ!'2Ž7OʝOxً}¨YQ WwH%(uq5r6G[sқTN.cM94yK.xK񴷛#` sʷ=H]` Gg h k#P) b8f#s&)aH{! T n߄4 B}A8eۛ_9)J̴YoQ A{; to~Fyiz8ܪȖ.BaHPfpssj3Ʒ=oxpў#Ic~5'DslF8/' | 낿w^cfVFD˭o C߽`Ժ'9PnﵦK>}G?|/nc~~mmcc3TךV(/{F= D+MMZyc/l &SEO\Al7_Bd}·fdKs(vrL'?f s܍(,>)GtQ 1:Mi96 JmTi[ 8`@ЊCØT:EG$]x+")]=RpHAr[vyԞ2&uصrjܴ r 1ө#~f[s.~ɹ[tXϸ~x>uJ-:Ƽn^^.]l8 Hb}0IpcwBm݊)gBb>$l^!+59PyJոǾh:B VI8mֿ+}LfrɄ̰ ( Tlˉ?}EՈ+ 餣2#VD ҝַ !@9_/VbPTuvJ4+H' G6 O-K9dHP#^CrzǁH|pt<2tG*@et#qEPVKVn*{)i g#c b {StF`][vy^SP՟TG nj:S~6,̀G 卷Z{ѢK0w(Z)>Au_D0gHQcudV,}7tMTr~wtxwƛgRcj{=MGt:ݺ٫4/S#ps 7?ZNg5oe?k`Z[WI}`hq: "R G {ϕq5yUK$i(\}`:5žvm3l]%idψ5\{r}uIK'X]Գ4Ṽ{t=0V̻/O=}GpI͐ti jlymLRG;ɢ,e)Zc 1' hm+pTU|0A,Dx$02T4 PS݀#v1+?oq5`o>O6eQࠐ9Z~)ռi=7l3Asb wU5Zj\l; ?mw 3%wBHCmlۗ+/W)Oiif d D.V Kgz,'D*PxkS{a04bvWd[<"4\!Wh"d"1zpR(e,8EN$\&zx=x.?(e@d0$63H<TJK=2193$+'M7\0tv)$Sa뵧Yq>9t &fc ֋>\B79/3eд7ו zm堾j_Q&=EnK س}앳 J;~ZS _ (a> WB„btl+"8a 6L[[42 %#Ak{_)h?ɝ񜺉 gH^',?\~3E^v9m߲n$1/BÑ#[ Z:!QTҚq c-^atX5Y+]8'ncXY!jGQ֌hRPպmN?ɚ.+n|`تlg0l={ ;Wf}ݑGCC9t':Oę&qN\GhnCf 姅 (;rQdVs ȁc[#BZfQiN2o<8R.f2#YGSkS9}b<-+)6 W3`ĔBQÄ܍Iav<2#onvvL<95V8Km\Bd  <ֺ'(L9AF^ϻRbܽZx7h x#%On @7h5=KcLD4TJo9=-oɡ,6@q}n`0o>gzR4wŽԁ p+U3c{?0hcёw`Vsn_=h+U~ @މV<%t9>۵"mҢV tVUtŋIy}ﻖ1Ǘ_~sq7YT&'+4ErAy$"򨩧6y;m:]U@aǧG//yIZ1~6!GB"gxdULˌ_%(❎ ]Am]La 旯,.̐I{Gq$3 0+'ß1;Nﲁ*+qEkmW!ũ:81#?~*۞[:W xGo4͛o7Z<%AqEm/g?[o<<ށB>:zɕ"M9Ѕkt"şW CY""Ba?Iȃ9LBύN4V;έii 8SHGӅz⋤3̊`Ki3Us]CFkP/ɛ/ȭ)TVsn>y]N#zݽ:v6Eov G<<]ԧ{ur^29'0ni p S{9oGӐcCDLS\y{$Z&$#<P)Ҧ\Q0^itPxI x)9VX, y kV 3%aT-PH#WTHك iy“HUԔH"| bfHXU&,ckndacFUu!C*X<Ɯ dxelמy{pryG O_N,}ꥵcƨvqH{0!(hU嗎D3 =^5ݬ"ж^0G1z-3-{6FBۊiYSߣt# è!9cUNCb~ω=Hq— Zv{f٪s]/O{.u]w[obǚ!~V c_+J q{U!~Z7\6::<_<4aD3w3@ja03=!ֆ{Jl)z3ZQ팕$XF:'L w<ٍ l8`h>hA" ^h1qxǶ?BO386`oMFAڷ6NCy̢mfx;W~;D^ u:Zk·w^zﰢOfpbY wơ[ |!Z˥Ͽs  -1!-e6s j#(4#sꚉjF E} xbQ뱈y'S@]5Xvm~syǚxł5YbmZ|Q^H4gX0SX.>hc>Z5V}d+!`b'. ƒp>x'́+%f´εơB{Egv_~n|߅ X5b $ *Ar-EFyL'Nc?Z?(% M'JfB+㭟c(_ 9/̨%(sBb//56ȥow o24Āj'?)@\! A|5#Mk>m]b87t$!YAo+k_):)_18_"X' 5dS(Sk:펼}fivf$kȑ^>RHI 8BόFO4jxp ^JNewLY1#^+OCŴ0B#)3'lhD6.,vE, 2V./Vw^qQEXԛ G@h1``mJdÍ̛Lav@Ug7{E)Xv 'b(A$2Fo^5 _%0/F L$EiNϛ_.ltky{ݚ9OgZCBRW{w#)d޶W"B43ʗracxd{01o+<܄?u;Ϸꁟ s40~f\g0Лo8Y R=vV1W?-dBR=E1WPx|D 8ǯ:7jXt%F{-HkD4o{&vť(cB8C#J(kӍcP*>hPTE r WsM¦=TsY?Gs k\"<`f~[gQ#{}Q&3JR;->YOhžoJ%kퟓ[tt{8 N~%;>=}Fcd:UA\ҽ-*%,q;Y<^Dt4rHe+: ҝ7C:/z ]}5`@=QLk)ȊA /gyo2Z[oLƵ֦-DLz#CʬyslûSBXfJpsbgj˕K_3Vڷ}gޫx]DWeۤs|VjQ^K3X^a2]QE7PT [s4e],3=[Hh,Ro^23{giZ~cͭjzh֙Ա"u]_^xGw:H{8,&{k:Y$oL$~fܮB;D'H(O4OG3t2 q]kAqg_ vYaS- cuv_Wv<erBOR}PLA `STY˃NK>y8Oty=5/\TBt0=<76"$,"7[8}ʥ;!QU2/y'#c=Q Q)O@4xEKEKy[m7qo  l|f&Z1g xh[yhyo (J)¬YV>QL]@{v*C4.3@IDATaasń%b"Z|$ Kup :yhi={ZN1oeRE/=^*7]- eYŬ#|R=#)ds3 ՛Ɔ|]`(U$N,]*p3Oe|09<a"\s=7S5nD5 vv"\ zc7v§I!Qn8)WA᭝ooE`npбs;r:O ]C9'( ˹ZCîv ύ1`ohNky&@ I1Њi7^76X8<xb4hV8KY1l3Z0B,?z:bCyM{t/eo1C2Q1>sfĈO$lc±>6F+#=VAG>.NWK{2'D;4 2SQQb}~sZ{у\DaڋO7~"x@4 }QӺǤ" hL'đ'#m1sg[^sW^4'x#>i] @)@ILb/"qN?{aO9S&zی;wRXaʖ7ुb8@vps]xk} x/,Ͽuj˯]^QN +-)gfzhUE1|&B0 8qȐ8K8k2l}K* !| /rF3|$#rhg8WɆ(-h}6< a oAox^*bކ jsZ,0NO$V!3\ ju<~<$:X_: :I/ZU(]o cVB7l)rÆYi|_5G:Z;Ʀ/g=%7p1Ɗzj?ձZ[o㽝Z?o$c7jmC_Yq8֛gIܨEfyD#t*LhM=2pv} Ex)v^[l ݳ@za <L]:G6^M* xH.ϜH&BHns 0A%S%|3OTvfz ܰB,gxj1.!xE`.l{puaKS ׫6`f%OSU z?R00e`y S(D*@=u<"đ;,[F\7VȥuQb?t0J  <1Zw[ >CXmY3gm9.ۍYm* ]z#ĐV=u _;R D!~g>AJJ<7E}S_u OwJ O$IR2o!HydE(k)SìH3L^D1^K[w1ڭ/mP/g|z9V '\,wRHk JG:֋ô+Ў!FaӺ.k6 񜃇Evw]Xj?o&wɓvf =iDcRB+Ad`UDu!fQC2BGS#m i X}Cm…('". zE[uF֔ OEg7WB3a>h#(ݼcͦ_yi7yg0535! ER~ J[%}|z.0fVf{gtxIj ˖+ u (!8QWa$S򼍓=nA2oዯx8BQyCNLwwȇp He2<) q]k@Ӣm"F_hCg<ط [A @clD Ivib0ĊI`/7?o2j R/mx[?QwH%S֖or aߺo}G>6{:=Ǘxt -ڦ?熈 wU'|n"dpd7#xzHgX M}ZJAVmGN>WA2^hSqn} Gvj)L!6RH<8{,jC[քU C)r ʹ([.]1Ka$L$" 45`hcIs|"3{=, >(;2clE˥FqRkZ&#DأD;c5U ABLD L84H`hk2 QA,1:V}$؇CJMut$&g&,X9-) v)-ތMS=[N4| nsA޷y,BFSof7u+C>ғ acFNM޹ZN`nS)VJAiy8(iJ8Zޚ¶/rNo >A9m1|wFB`g!}iU Nuv¶P?w&2VGh= qh5$sWNA\h͔ T KOVPCUK2H)[Rzߦ^a"ja^x-Q0)5 {c`` ndO@gFד??- F3FF}~m܄jC()4Dwn]]~Ͽ,* ڊu1h'C!8ގuo,hoy}.zZ>/_]~)0#q[_|s'yPx6 9u4>öML >=JHȚDEYJ10O~˟;/\.JbfǣEsC!7O 8QZt?qA &&_sixRZxܓjl2u//.—gN-ηGF׾|3OfH| /ƒQ"p+VRq1jMYawƅ\x}^KvJٱ &wHJX9(e]7Ŵcv)Guuxwz[BξS탢U&G;QY 2`L(rBXiv(F<~"0}d O/g R7a; (^}cy/| , +w G҆d,P~ɤ6~_W;DQo=Ͼo7,o/- /. #ķc|졽~Nd-#c1Tv{)w;zt᭽ZP{RuSG?1f3j0'\R(`2(Vc-6U=xPƙǗO7_y}O}c:=؝ʙ*:\8ē˧>ϾXZm{>bXX7C7o˭v:n])TFˡcɢ9Ya'Y^KlmVtK Z~ww0cKF]ʩp|&c{y^~>|Ki76 F|d(u{9~Be}8 S8eȰq "烪H(brq[7_16dc)Z3>6w1v(r૜"f{]NR+A D ȄQz#9Gw(v |lSh ɠPİs9h򶪇%w;~NwΧvEBcH^YGbY!v7<02M:̚|O[˃b5_MǺ6 2ɅNϭ:16׉QA~y".;njlai]~ Ύ~'̯"~OA\!.'dG8O%Y ~.z_A>T/hwWHJpc;\M_xB13V䌼`.ڃN5hxx#G* ûs.I)l4᫠ڷsEf(?VDG!ÄۃJc~ ZtaH4/r64>?^e=#Qk_u `~'>q3ԩ`t@i'VCf'D^O00yeuP Z6~ʃ ANIcl$]! f•ݯܔnxFɀ~ZB?m'B?yM]]ɢ8^\^*?`<4\Qnh綇j!wI31w 39A#ݟ1 2nOƳ췿ͼOd\|[o,kpR`߼tm ೧.ݨ/_E!`buVH29K0>5PFalV\fUp?e9g_{IW39U9^HF{4 (J^mͭ__a驢 H-꽗r{\I)po^M_~g7[7|g...]~_SrY!N^５8~~Epw5?Xv.>HCIZ+rZ7YzEN޿Rtg<ɏÎ2wsY&}"RKp2@ʵ5*^w{ZdoNʅc!jኽ.DLF^x]Q}=EDNM-_P>A7 `QM A2sfw7P㟢+f(l&lS@1b$V6=n oe3Y:'#nQ RnBTza-h<~]Y^' Ĥ{E5kcԯVFJ>?Ld?uUVÙh#{]>g"]N=fKY9&p!]~ ?*My>w<XO^Y#'R jIٛDAL)k mPt}dr=N]BU ~^0$K>^Sjp)LrnTi@M09C? F1F׼*5t5/ENjx~݈N:$iw!?A 2pDIaKs!5a {(K8V7 g';kt7 6靭I%v_|9؉ooOʛ+~C..Ͼc{r=B?XxUWL-ں>p>9;ɝ3m~aVɐjS)D]i n Uv]O,VE0QS7#Pl -X o,yT}C܀z,ۊwGfȻ kW+t;JM*8PO/_?Z~'EK骍ܻN._]>.gy$:@n֠^h5sw9qs g,׾嵋|(.oUݿ\xq~&pyS-g9<3uzx< |-Oʥa(39]s2z='Uݯ~y}r[N̿A:\K^Dxta%+[ _.lcy~›K_k_ΠWBxc~e? ڔh3;i6UGQ <[.'EN.ϤcSwr%tV gw\ۑ˥rR7+f+bBwdiqGKf 73^gp&d7cP9?XזW_ykCs66i?3ldTt<ܪg]mĸk$PF*gDk,2qt)JVS%0w5 ?ĢQIl"vncamx{T]/?9a$ůo WY3XUq e9$TQH8nM(؀{8Ʃ"yq$*K|ۭw~!ƝF"7F:PZГ9/Eg}Vղ1j#a(DpMU|rp NA`N&"){isS ԩ{h0z1Un*caْhK2}[Rp$#5d?)eKm3;/3 4-*3+ѓ8FXu(s4.bmiC1Gù\t<·S"["1WS S cA6vXEZGag%%fT٫2ji.I(*R|{TQ.[o6R@?au'z`߈1{y\;GCN7.G8a2&F.dQ4>͏\렬QA@6ҚDT([Q@kH óOc+!޳"Gpb~7~_]^t{A՟[o./(͇孟qG2OTl& oQPLEROW7*ܳO&c;0\_2_k[ˉ=DJyrDb΅i *oG;{ 'orKWuQ%BfH'{p2z9]ǒ97^)r#A5wKQT'n1i౱2 SMOˏų՗gXFM=)?o翷7pP5F N?}'屧Z^*R<ym<-rßI{ЩGvx˫..|>'[ǹdoO,VSuHHaTϕ7ko.o ' >|[ꌃw-y3!Qtc(-Jz?W`p/Kur1^#ƅ}3D0ر¾A-ߙ:!Xͱ㼝B@Mnw(›*Z{8(cxB v(SI0( x.7]kbD!jk \g1<&b2ȂQ?D9#ؔ^VHda&L?nx377gcO׭7RH7@r3U{[xJ^gEA;YJܽQU>ic`;)q+47)PJvO ? \t!|fjXi|!c2En\hKzhHOs `*[Iqߙ: .YSopԐO}˥ TnBhMɰ0/u^T4$o |oʓSc|ͤ>zC73* Il 'E(^u,~i#2Dm0֮je2yY1k|CT 8 gLHJ0U) "eI`C"wuR.'ktSf^AYa _-xBD#O~W $K݄Y2C_Ek8Osj%O^= 1_2"DH ]xV`2S3VK#k>-~Ѧƽc_OC\w䑄j8v5[o r,[r.^nySuH;(LliS'b8;]TVKŦ\.O|[-(1_t̡q9+44re OOϧ3%-dK֓ܳ9"?znIO+(npʧNU,B:ƍ:9ZW}R?26W_Ut PO =ftU4"Lg- 3J9_|py{\񇿳|T7*h0݌_~S#ɋ{hJ@J$eǧ ʻK1b{yCG2*ܣ) #Qc(Ll"AgP`y&j0L%䱆i[ ÷y^,`: #(Ĩ" @)ilPtR#j`J\kΓl05Ǹ Aڡ_"9KY"8? @ֻ iC=:xʬo'A}W/Z3DZybyo^ɂZi O5 l$ QX.E ѽ-z)o3Fb^hUQy3}o}Fa|^Lkrی#F+ ?`2 )Y{G=-cdM> N?WDD *&J7_QG_+Az3#b/cV y+` +;ɫ*}g *aL1+es]|/z=YT$#.=s9̈́,VnIMXYnk8R~Q E4Ub{h(' ?{V2RC<J!x .~2uMh 3ЕX˝o׫-9.AK<#<HELISG]1*݁gA•NBmgHGCE>U4Zb9Qqz &v83GY=@=2}^0euZJ{I?wy_u>*Hɳd:oG4~^s<|0Fn)Q2==x?pnG^yUg2 C7+a~~"|ZWb .3n Yn\|X\|]ݻ '?`vi9#>?o_~q oEG7y僅[7rE>G+ CHߴD|̈tb3LLj}/e|x|RθӝO\X'?Ɍ2[q*_ ' '|)?28HM}Ffg$A|x4EB˷G@yTd ʱ&LYB!e= HS!Zp1#zTUȰwD4ȕ^Kuʁwyߩ;^;^EPl%68b!@(ÉV` U۲UH ERz۾;3=s ?q3|>ӫDb"2="M`tx =Q\Bȭ1Lv %5AMX0٭ŨC9e@Dy u0C8Ub_4F<êY"PWvU4- *X-e۝p2D'6$q~֩L2*ABeld6B1DBqw *ɏEb]G FMj[X)p">ʹ'AMXK|N]1kqb9Aшs!A\dDSʮ*\ʞY37Q!CHqJ<`i35W:RITyBC©g7ld'Z7 4XKdZ QW 8dBK}$4X81\< %0׽sVQE TfKmsdTt;CPF)0׎㥰<3 , o`ƲPHU*xدV~A?=ZyOIoZ$nBҼB2y=Tz3M8W^x‚;6<:X~g5mY\QC9A2߁un"MVr>67E\S^Xm=wYrX  p0ad{I0:y`#Kh߫F[dXI[ӷQ5p*>_d<]F![y&XwwWr{fӡ}X%߃fMbo2 iCiD]BeΞR5` vلP1 kC{nڕߴ']86Kٯt܅?,jwaعciOBkiޒ~0&iF{z}D^Mm}(sQ7މD{LRT`\5s"k-}s_z-sUhLs p}7K==1:wTpڝX2,aNA[:]m5 p jy `\m@Iwj)CP!IF P3++ODyf'dQũ)S'J;W<@v[-!.TdYHB}H/ }d:371֡i~cilt^e@d6k$B{=UK^gcӧ{B7cN $(Ĝ]󫊬c_jZP~47G+(#dƒgΝ"7BxTcⷾg}tt葴{{7{Y[k5\HIOI}0:@nx@?9U!Е3;ߪ2KS&a{02Fxk/|t}{J񠈿T(S< p-r³Q;@U*L<\^e95Ï]esHN.+Du닄0^׮g *}]Y -}ݺetëQZ3]Xt yZ!e w([&֔eD;QPjI̺auh\9NKBH*0`V _ ,^ꀃ)X\X a:uWn&_dophdL=TcLUKFFχv'oa%q0SR3G:uJ@МHbW-*`5Q&vP$x )hdi_ uOV&KXW"|1̳e eXX6~ I4YP:Oo<+0m2A0nw֩A{xA(Nìw N#!|y:p5 /[֒*ZKILee7I'0@Wzu2F[51C{O \!Q 2L2 OvR [} w{lE]>D'ΐz|U"g%A$V)؃WN8wdžm s2nKoW?,MoepQ Cd%:88a!]l5**ZP=t'F3=g?e~IpĜ5|Lw9AğO>&5Z! ;LeǾi~.z v|dp&1 ON1kK.'p1ͪ:4`kW/KsW 'sҙ`H?@-~  >\?JaF2iY\^|!<=29 ~J\FGl#@S cKE7CG:LltJ.um\ABѓwm |z:^H _~o^Jeh@i-di8aagl]X=p_P؀RNjS!$ t adPQ A>3av,:>ȴϡf0ZID~YLMӆb8[){A[i|& ,cs`eЀ5۔<հX+1cȤ!4 =BP{ȓ\UJ ,b&B<;(DF#qj6nmM&Õc+X@=Eh!h7^Pw;t_G)q`2(U%vJ &zD$xvFf*d&(CC+\p~U Z2Bh nЂX8= +TQ/fj9 ,8X6N'TT6Ra{iqɃ B8h<KC@"Τ:;was'nv C>VqUq7M"115"Dq0VL.5?}{L%Ív@%WefFgŞ;ҏøQKXw^|>K釯0[i5-k_i}i̭Pa9aЮ<Jٿ sX<$7Fv44ezzL.ߴ{~iI;vLw`pDs(.{zMwIk^D4U@ifH+5Q{iG? 4He?@߄^޳̋YI4#Zyjks..\KܹwD*hΔHќ:SI+8w& 3֧rr*ó@t AN۾W9 da&/[jxOˊd< ]y"2(Pb&)uzt9%/6 n|fb4Ρ@jMES(6k s쭣P ~CXى5**C_B>2=Cy  f39pKulIꆍ4Zi5_k-І`mTaΉi!P"d~,()Ld-QI&⌱6s5h;o¢BbS&f2c `(6)38/fn&yƻ,'KyZ^ gRp> 3*_(* ;m9'@h*fa+DFpro6޾S3 H30%PJR* ]U3c0 PQ,Q!ғhq }:pPj PBBPT*X60I(ݒ{ XnƂپݻMŅP⯑hȰl !/4 {#czW;JL,X6I*H$u+ίvȰNJFsV  ʁ ='Ę#< L8y2[d]džKlp^󲃧O38KTqd*5>=deܬKܷhP߽ܟxA -&Nxtmno<".Sbx$untHZ᱉2LHϯybf®8o"Ehj% +"d&z0b F,Hg,nD# xuq,-"ɰ WB@7GZݷ84P؁9V4e,$ ۨEGeJCx8&آ񏖲Xna[--WrT0ka~3ݝfǀsD eXcE!Ln³Ke:h l$0?z>_R)r$|YB>vj3e0]9m>7YLf[=2w`0LZ2AKТFJb1ss08^Q[^2Fn@~ZǬsŋ(-"΋7@T̼qvq^x_aZFJ"Y ;ƨvni7|z΢ZIJ{ y.`\cIޔ6 ,MCFOM(<+(Zw63Bҟ7!~ ztS$fSii}P53( P"t./Bi}vo>{Qe<T_XN}οoH^,Z~anBӋY 15׻#ڗ-rУT;TtF|a'.qÒԤ]8 ^?b;3#\s 8TVˬeUCѴO'Ǟh> _"$R}wy1ϵz!| &aD}@2`9!P; TVSBPPhvR+o' @aYjzbP,J3cuK\jg582jO@jJ)xS7Zi:yRфM7Q"؏-hC6qjƬe )<(4I^0MB$uX|0Aija37W0&@\F+$إ8^MR9BvgEWxwS#_5qKƜS׸?1PX!~m̂I3^ܡqLؘrM&Zܤ`"M£cDO+ZR!sMٳ_2~Y]UwʓZUOvm y;۰HZU,4&sqw'`fԫ(Z͢0= (N,f:bu2 YzJ L M4Iڃ ZwN06saynhPVWB7Lٌg ^ I]LD,BƮ޳=8؏D/-nKT; ̨R%n Դ^4D2ri`VՁ?PV`hiUD cv$^iqx8-4;99 ݃/prMݘ -1-K\>nS XC8[ 3#y) Ĺܰ~RyM{1ܤB/)DtxH~U[,WӇa s앉zXv*)ί^Hl,%at;w*]ƒP>}nVoC&?*{YX:vわE&.oր*}^*OG!A953;P ^:q6"=A1;p(&c"6v`'4ccf`CC`.Nu? t. pPHvk=xuriԻΣ7N\K]b|ighre\Hgsa[tt-d2G~.-zO?_O^D)' vˀ2 Yȓ<8{B|\d8ޘ:0$rܷX="J_+_?CLf'_INrXǨC9Bx,'GYY/.j7^XN~R'=ģ?/Wt=d*piwHV@Y8ɗdaIDX>)L.y51Aם%Y2Ա0n ^3n8U4`.<g&B w|=\Z# Rchcݸe,0u~*+)}zax?ʓvmc{ PjE\jp5[P08V #`7PR@Z/tk;ٮ͞#Vrn0D=5Qɳ}|¢nYFDbLN"zqWp/gα N/q?ӂ4 C1]QI oʆ 0ʅCpp''ڏkQ믻l[Orڛ]N V3i%SGVf^ބOG n[$nGl>fg+WN!;+( dQS]o`&Et1P["TeB&} LwNDt#/>׆@8ez{/=>?}2`z8(m^Tej睖Avd 8HeR!*\iwIkcoOccnAhfK*@jc3)FIYwpW^TNhjQzҕE2O-P0D>eQ'`66a0rbtYPS^S17}h}q^:l{Eޒ!`Xàg>8΁eM38!R,˅PUݧVgmpg-E. K|6)ȌbrHdؚ`b傧Wgk}f[(Πa"0,Lݽd%uX#0WZzThyV+"CGS?Fi kyTOOh~BC5:Rq&,ϭ5TU-\S Ǻ[нߦUZ١# A+UG~ -7r?sB)tl*$2{39$NJ 4Odb &dz8lnY4ĵШ M3I {BtK鎻H{nWyNJ{v35|e%*6XN(Xwuָ*};ރу^];HTݽc1KLz7GlҴm!"9VG03 86`:QYN_L?rЪke.;(8HT9ݧӝ ﾓ:E+7UsxoM܄,"!I[5댦TY:N3<Ztea3]Σ73mܽ5_M@Ϡff B(\$n1 ^3ghxS 8OlxPyM63CAD&Zsr$L8 ǀѼmB5EH̨W3.4d[+{m[`1U UEh.UaðJ,QH..FOae !--Y(5LpOvn3861Ȧ.C6q8;d"Of}lmB6q,WYA-JV"ֲ2,9 P25p*8|~uoꎪSDgom5m3f=9T-UjL<|mdz6&uoyHȈ V:Hx@@eIY87RSfFh:b 6d  %^\U$+:=_$Dm.]#Y=)e*cXey N(J 5ľ)(e^e @9I eiB!]1uR>>w/,mQFvkE89B 9paXzaqaEøpdc1d΅]egM[؆]fʫHϾJĉgY@b |D&aן˞^cI6ER] k924GG1 F~b x+]'6Xֺe!aCM2n p^G'q GU0xOL5t怖~;TG2U|:3CZx@8B]b0pBћ1gb鉒Y9==gWaI2qj (ڎt,i[andLppQuP ə?CL 18U$;ǻWaMРq$b"z2ױo>{;7R #P2;:ɒqvx4ިUN<{f9In6Ś[<ʕٴwt`'!g z0!;ZǭG#ܰMŠudcM3ŅKv؍\!^r(,Y&IWˊ S]6#zU@&eMCT8~Ї;1JN Fg?`KNG(=hhΡ~9"z t>j{0ɳyIT;V( MlL}Wޘ BE: N HL`6bbߊ6J@!mMW')l{k %uMBۯ2J.s!q›($zJo&fʝB8,\]WZ,v!*88D7(] BS}X$<C=.od}*/Z(ex~@H6Sԓ*sEYXEg{ow(~Z T(9,`SC) Uj`%HO{6W Ġ13;x;xP@Vc%e ʨ^BruTl|%/*zcJ8;}دveO<ܗ,>C)8b&ёTmg+]y^͹Fc)sA74Q\M { mǁ5%>? ipo 8sim Eثtגs!ɳ$r.!Z_O-d;$IVe|vbQr42\z+酓tm\!80J3W> $$wHϯx@eI41a5Ety ,OӼ9@J$t]e(eB?C#nDn 3qyh;H3jґIOe]XFEE<Ȍ~Vw V56gh`eϊ|VkRw(p=2"[ō#3jgf#8.1w;'%e DkE+ˀmV/ZK},0U =j_Z?E l Kmb^-Y90Wbeh_J 8"6ˬheJbt/ ɐļ< NdQGnp?WzdI&1ZB',9ؓIWxfAM/w]B -r]Mm@|/I6X㥁ѵཻgQ$`^ukn^gŖݙbe.Gyɯm(0<vQH+ 3t;cN7T e}.l-(hsm:xmP<5) xs":w@?DB1*!ȴT<}n=c0J49af X{.TZiBaVK7HR,H2eU0#gjLdž4ZVTM t(K EP κ9u ſe(&qTlk~I%!A۠˄ cs#T;А-ϳ_GBH&)  272lV5soDZr1&w&oHSlRhP].3Aﮔ%ui9-7ݤL<ޘ$$̝=PQ!P;2 2[n{u/|Z7K_%j?Qp;<ȿ\Lj/ώs(/=wǒP No%Z_>.ðp76;Rw (mʏ3c(\#;S~!l<942u}̷_h3r1BT iiL%{oentiϦSl"`bsPk pNKW1}@װ NxrZ!P|4br=~ǧ&;*2I=Ә&152#3$|n[bL۞.yf%y $ta֦ބ;$,Lg|&.lֲu[7Ff%hvr Tπ;@DԙK8OΛ.C5@ca9 y\$Hqeɜr/{6gh(5_W[Rg١VYd*(7!s 0 ,@[@&gaDV6e]G:A\@%~gG<߳qx#coT6dUdsdZl, J_%pg!'._U(t9ӠׄGm<<#XqF1@p!ƶJ\I1ݤU:)6 pV|Ь&BP<0OdVX,BD$r{׺SJ0r*ؕ{ #ЫtZICN;pז`}ML`NPER1ASlp@H*/ӭ:l}mZU#*+ u(A|46q@BŞy@qҖY12ͥXoNt$hXxqnqCkj ݡpIN?^ , u=&:)] Lm2+3R;s; g"`*^R|l܃[Ґ(."tt5JC|@[0ILOw~o|(iĤ:B\\G_\_#T(O^=Jn.el!ˑ4b&سi|{'^nܑ<ط{dHp-}4z)֎2Im=~iC^1nP8kab6ޙs}Ga𰂇[oNOYptWz;Rs2*lXlJR49u\І=QƷ5*v L7s7]Ljt:94߹x~>9{hP vԻ16K~f.：8Eszސ#07#Q,!h<5YJ|H_|0/ .Bg6x5 "_ONMבE0t9ji8;>-67Qê]6@ -9G82$Fƍ `>a5EpQ-QF3lSpάI7߭EW=F f@IDATP`1ݗT]Z `Z?v}Ɉ-,P0IbQ7 !7C@(`LqTX(y $>k\~~~)}o |רKWgwVapǹ1U!L0vC"dڇGTD)X(1(R"/xH'D1 Wb`*"Y`]}ȂAZĘ&Rk"xXDO1S"GԳ;yz}ꞿBЊXZ&պ֍-_䜣#q eR3s'pzd~Z:fr[30I{/2giSqŮQi8<0 =gbx'^ PFOZe;`ehJ֕>uoRd ޓPYDEcu1AS%2OD+:p\~PAr_&FNzfx]-ǎo7 \RqG"\C-ݥtTF4M!'5g}{!{n# }ө7Ns.g.Kg/:ɫ(w}ɂ*EHǁC!\Ͻ'ӽw>hD?dXJ/ W8N/t.]qY9 CSnh ^fB8~t.!g+1&Wnu*SD -2!8+f$|@wYfic!,zjvbg PqMDX֑jq2.;@!4"v)1dajeLbgL F .뭁d@&<.:qj<!ƶD ݻF;zhe-,D6g_2PGInZluW46y4@'Usjȅ=)Iie }>P~`NqHOt1G y*%` lLX'serhyay9M(& =P&y E2kt#qSrZv+}na)-SkG}wS/N_*ћBщVFnR]m'|!lx$DXw\&pI"ͩ=0L]! J3D2B둰MFu*4W\"]ْ:e"pH=''-qNHbCWH3SjH >z%%Z|0xK~`7 OXW0ZD!2'Ү{ҭwÿhP!O;V,IjM>yyn~z J:OZB_-HɞU / yUɃbb ˤ}S~ϤfgF)Y 4t/۶\@mTD {@bjys)/<?w:-ãϤ{t/~1NL<&ie)ݯgN+,-]+Iº fD|վzɀPa!T/́p6D23Y~ZZæ(R*'PE !qXVEkf]-Jؼg v-g-7,w.s!G eiT ɽ̟ͫ&YA`ɵ U9 m_.ZLjDbzXzFm\p`lRk.DT] R)@^ "&xFy`ZE>倂qMA nCTS/=q$\Kjs{Q0_'!$Z~,7@K i?V P޼5*]d7MC.K31*­͵^PX@EC W{UAa/h(T.Iv˂m!7rY9/_$ytɢ|5G`#bJoe5WC}/{壮ݟ킇ח"@N/QwM5M'Mo]LYZ'2+-_'4cĈS[s.J4e* M;3n<$߶il*]"Y}dzLz_H1dS+zl5ū'cДxHYsih?kT`hީ!RsjgoI%^iRD)as_fi=8¿7=xQZLgrgbz _{4QbRiZ"=*VWBJL&Uȱ"=jkJ<R'RG-dRx2J҅y]/Ey* 9 N:0¶m :r=˫mmzKfLB؍Mt'.=ݛ#mj<&լ X9"1,2i94]Et|37``9Ek范ұ, af:QN?j 'g&qQrNu(3A?gp ">y kf&:yBu{]f-.vUԉCcUJ< /7f0P:cCKA,}8h0ecגK5Zfh}iP$U[A]ku8 ]_N 4?! \%h^Cf;Lֹ2lO 84G*Cord0VHأ@+G T+=!4Pf;w97{.xĽsoaAk|l8h?*wת$^AOmބ`]h 1ye lÍLT \P*ܧq3P-AVqz.{݃FzpWɔ/#gZgL]00jeh(PBwB&GĬ~&<|0,p%i/&-f 5*zhK zMƤ<]e<,=!Iy)]^|YAr꺌^`9c Fc``x 1yLӍɃe1^LW?S{\Ef_ E]q6t!*b4+AlCQ>[~eW"O01~U2eJϚ6<6*)|Vϊs,xb|9$5<\.C79ّѠ8[_PʃskNù֩TX-dt{nMOk/*TPhꔺvnRY]oN%6eGp}ږ'KA75<0% -q֠VZ AmJpvdtC'^DPZ+gpKU45DX=l\[q*kǗیwiG<q͍(:E!@}ތ!71C JqƯS~1 ];7+ǰw{w_!<<"CMZrAiӘ24QT;5Gb)MhܥiLwAGC24x108jr-àt;̧1Hn9p/MTƷf3I 7XXNҳ^YwBL؜8hrFVuRy{LFM8CCpU #PңU!3@x79"'n0ڌs;c|K`$E\+POoI V {VRE7iq|j %.`jUiC0nb] Ͱ6Q-)1 VF@\We8(58RSƵ :]GhPaPI0C-G ٟ #Oe`j`wFOV2 0q1ɺ?ؿ[ V^8֠W&57WsK`r[4P`(dFW$``| ,F󞖔Y 8ϲQs ]h**[[-o{B ]&VډQ0dݼewՀwfLq$-#S!G mCW.m3=3^6CiVLd4;oKR*,[Z6QeH+nLP'2XlzO]|@3v2׸^241Zzք%[ %22ڄvY iL:3~0dGܛ(*"91-˷h\nM@Bo,W@SRA l!D[m}6ksN$Jr+QZ-#5d93U0bElQve" [0[pٯ}ޝ!آ;Ua*P` bd*N  3CgɉzJP]rFH7_euyy :y IN=Cd|N^M5X3}*yt~h˫׹pf^?5l>p.(<34<㜸P=սG&I@(ЫYzrP~%QABIgFZxV1u鞄V@3O5ƺ斤9ײ!ʽĨ؋ poǪxC1[eE`U_).J22;[9Ac*36opX ^5m{77أel6 ?G_E,Ɓ7 i:xFu(幇tI~~`53Z \X|dJgP'D7 J@t&i`jDF6cHJ|֣̓nSxX*Iyh PFW=CbS|0m uWbU-Hr`C[w,rZ?Ej?mޢuFը;$kA! mR=d^" g:H14װھZ7xO "a"EFPTik?}]ۺb,.{5yx_nHlnkN&F8 tVkrx4Yd`^q}VQF^keS;hZ#x1WFWUeiV06Av .7^>T z:( Ӛ[\-vdY|6ۄP+#zIE ! F132&Z7}1:~AC3ݠk(gS%W%`M2+Vn`v7L9 *JUw rkMr`d ({X%e}x9J)j&#FG9:N2l|k Rt#u"oa]/ 0MgEA"bi xp6,wtʈ<RJgES*\J;QAAI~M3zv|wp_y g|JOޣmj'<;&jDłanKK-4>D< \'WWd ev3_ 쒧Ofү~X-'2RR7,eBL5Is0ٴA7Wo$y=3=W}.> $MJPDI%%Q$[*WUSȶT,rX鈎(R$q¹vwfع{< $Up9}~}>ӗ.!'r$g2^y~210@6iU þ bDu |qy&Sh F 1BCMWmd+̕ܫ'NԮ3́۩!1zģ^޼(Z1M `r9F+g4%*_xv3:!%"2ҹ>h{EGX>%%0x6Hsg/Ҳ !pf?XO7߻{my oX!5 ;(`lޢV_PW8R4lGa7MחS8eyH^jqPH 4^|,BkY.Qm,mOp&2py͍UЋkӢD/j%z7J6<9B>{ 3Yؕ&U'4_sR1%s֯񡲲<Ԅ%RY1!XS0lxa,egzvĖLvx*S0-D-rPLeoMSQp x@-hK~$Ҁ$ZB+ 1qM'7_,bT-1[ QU @i.Ȃ`3SZy cN}ҩҝ6LO RM7kgHDx] #iMC `VXo[IMu^QƼ?l#F|t"zv4g) ?21OsF"B?*׌F'j# GeQ -j9wƉlxMk-y^L噧ɴT)p(Z===gLIR6=u!t_63Y,O:GwMF JC98{NhU~nuOc>s.Ʈt~#o%~]>jp:%7>hLh MY6g"{ce@w;ޑڝ=C~lE=R&#Τw_ө J~Xd^forDgNݠ:ftQt˵={|PX]% 刐T5\*sba,-Y๳ra@![co(BN GWrWtKi&5IYBַaCl-x2 Jx0QƘ'Y#33|Z}eNO3&5A^h<@{`9ߧ}^%ob(R~DEOأO:t5KyM O_zz'tt!g}k`{HWvFbQq ,w bt zD^$U ?un t+ٚg(Э3R7 .&]e/*_*1"썯5"JI*p}Yĭ2s;%POFHixÛu[_O ~0IT9zy0P2>eK2w eS4EmN4E 8kmAVRpgZֺ/+*ȍu)T&z+*[. k^ giX}! ַ"RQ6؜q`dNm>떫X!aa$y|,4q}f5n~X%m+^q>9Hw*/^{tk e\OSTI`lVe`UErӤbp7'Xc4a.iԣߊ'`GowP(4%1еaR|m4Dh_?*XT(p@r@:J1:ctsCaB@[Z`Osi's&M+:E"fv 4%Ɓ6%+'Kx`*J@TE7h艨"֯rVVXyjwmgqm [SuOJT'Q(#cizߝss70⟥O?@"z3!& h:ڗ*)Au!/%2 ~@Ix\ž3223>gҭ7Nj.Œe A4H:FW|fT{IU 4S#L|43Qt,%mug~8g^ G^vpN7ӹ 3QA;cG5`ප4cS>KN27_HNw^=4NtGҙ+-") zDquq-}/~@å[i|*Nbt:#afPr\0Ji78,/HDa<:H=¢="T'}hцiJ+ӘN>2!#UZGN+fK,2nE9,\` P'~PKh7$) Ļ;X:xtookf} QN3‚rhݦ-cweK"7#$!RĝWnNX R[ro"Na&Ӎ2ȠxNxz$zw ML5p sA: #^'5:/k<oCpzkl#{8 KL D*˵PD~ЩQ !%jQ.`𨌠oaxӮwx`>j 7iz"x_QekIJHȑW*aA)N(O(* >lUFl Ӎrhu!ڡys*G iĺNYVV{s1%oieCa:g#A鏍1Du ׳\6zY`(`0X{1RcE %}fQ*20]iJ5(8,6O8#ߋH쵟hJt,ؑ*Dl=@6+@* zhbơõ0c;Ɯ 6bׯ 4aRStdc:Y8i p.e^-{;?G?ny `-O`A_ <,a,1&q@pj {s?,bf^OFtk~ms<:9fU:=PWR?ЍFteE\0tqKrK`mJZ**(FIF˜R1AOF7ӷJ},w**t(bW֗y?NO 5cIg[Z=uڥQBVAѰn#^Fq*_şOw~OFjΐfP"A@7CP@ʥq-]K ~ .SAKK\ՉqD< * 6t, &<шotcG6C.;9}prC" a$`HJ5͹K&bM³<3I%?KN_4H'No=g\{e@d7/lX TVCy+^!F^{5h4DAzA#<6A'^0uk^p\'^~vfӺ}m>ZًM5ke5G@R+u(\a ]4~`I1uckuThUR̉#\hÒa0<|;,S=Bt4f6}E_Jr*#4F5H5=z (Q#OۧݴM(TSĐQ@KX^pF%i*\='gT|. UQ-R@~`ZjDP4V>/A{7FZ@6x#g\}o&&&x&"M*YaDu`BBcR`WJӛƈv]{MAQ5K81tG؝-xOf t=`rK}1G|S<'ubg#9>Q\&(Fpw'GgQ^!L Êi+"<w8 $4{(mw0? 7Qrv4zwpD-0$_v:Ϡ(e|FMJ:4@ia`0x10#=ry|wqS1O+Gj'!9vBk-@۷ +S1?~ʏ8q+ y/9kba}6L~ =j쵽H D# Qvj.cÆt@ =" I6gCÞL)]|5`@}\}ހQthScbfv*L}ލwns!>1=@JhD9};g~^{aǞ~ ϤnL/w1Bo_Y$V4xcϝ2pln NCE ]$%b/tV 6Bk=R8laU52`249G0DB׃Z40 {R-Wʧ4b0X."` z (ޫ!XQ$,\QB4p8" Ճ %+cM(D%$e_ Ubrԯ3i|]bhC Ш rS Y#-!ju7lRdi Q7^G * kmWxVG@35$#"J3|OcDcOx@k@|LƗ'@䱶F*1 3+TTc^*P-ik!`~y~($ί3 @dU߬E)oП ѻ/BFٚ?tawa>G0XлS%,fޮ%-*sNЈ0 (AA,vVhx[x mi>w]JGCs2g?``LlGɥP#fAlSM4tE#ߔhUΠzDd8WvU`-"fݔ5١(tSOisk%m@lbKbB }$05e";r\{6?.WOO|Xz"׀sQK1RYDEy@6r>\Cx8ñ)rO\̋('4GPgt{F"BjPqh]ڡ1-d Ka J ks=.1!i0&yډ)ZMOwrTBc -iU#xK5΄:^O_aoz?HoH]N}ɳ/ͫp@̿t!55 yA(&3R<."i o讅ЩnCU#l@%q<3O6Դp-A ʑU9hz]l`G~Q5Ɯwoh[`,PZP%sZ>gr&l5OzG%Le(1@z+Y6D DS'`>rAtt0z(4=wM D*gطb_-L+B0~`<`bCV`D^=wWA֠"U.ʗHd$Q[a zz6D^߳"!j 691 tJh{-!^D x DkGZf%V83 E hhG;>48)h &>:i@"@4W px;Fj=5G58cN.*9LuJƚC HK<QیvD]-V05x=h@IDAT>} yDƻӫLP#t!^D2mPU&i"ZnZ>T9?17; MVd剹Z7atFLF',GAPs,Nk]eAYJW*}Ne{\l?hC#Ҷ3!K]E:Ge27ѝt]GPxRmDd?`.?hcȥՏ  _+P6ĤyײɁ>$%$eG; @=2Y C EF ގ"DP<ӳ5eZ&0p3ϲ$Q#Axŵx*cHy!Ax<]{Qrٓ1e@]0  IvB!xVSb 5L#zv4 x(2fxıLr7<šU~ۗo܂x.C ^ ֠h!%`;İcBgY: ^Nw)]&54 4Dz~a H >G7.)`=:@3maDx5iȂs[^EQ0Mơ%s EL4[b*b#j,CHq1g#M#7@JG5,;2~R6D'̏nҞse[)0Yb`p\CIn(9zCB 쫍tN?h5 :sOz07SCdT8~E ɶ F̗ڝvuh<`g7!]4ZqPe=\w @F-y 2U2)лuO= x9/B7I~>tnӤ=Qn7r͎0F(9sjzSC';J%UX4 T&6t*T4eHax5ٰ:4! ]ik&2x-b:- 4n :C`IF.kF }lCs q/_Kc˯<5"#˵?: F`;/3wOk+ W: N4R }3/Ԇ"oL6c`REJ+@p4Y@"IL= CGxVUG pEJ uhqpm~PJщn8~E v$p{k#K QE;_@eeWĕj4 # bh79tEXuq=HP0 },< =='DM2h]rbnbsoO˖3?^3 V@6!7Ǧ/cy US{bY V)P8/Q! :YXl/ "d k) ϰ/ u{F}F~eyfD4wkEŽ1;-w @E*X\; ܚ[g5fCņ?z_g.#X3i K΅ђ!@ L܍;D^7 *h =I҈[xޖ(D@G$lU /8kBAy YGz1= %#2~1\}N-IM `T+#m]gca[C#F]#y ƾ cnpeɐAQ8Ҩ Tgdzl4|L\p5Ϻ( ϗQC!E4^ucx]N>w}woBLQbQT}ih(;nGjwByfF8]iGy/t3|Z̰?FHjP6v$m"Sv#BQ%P@vmՍsBi}_{岈aCD.]>ϳ,(GB5HFsȲx\Ψ(%乿dH+[ ,7!hS*sj~!u#z {>kH6 YctӍ~*29Gk{DoYcU%x=]tvL6*ig1}1c(of=8v)KSzh(4zh{LnDMzBnoYR]+w =ɂw}t/{{_It}uMwW_(J@e@Y=v֬e>F*P-rjWhrzzd>B|Q.@gch ׊F\yZ,l11c;`s$n(EKa"!E4 (XPuoNCp!Y3{Hyݏ5HX!dS95_ Kp!ĩ7+MOL(K"Bxi5gaSp )LGIJ/ZNQt # LLx@%b,GQ|\sCT> 8- Ry%H!vg2~BlD(z"dW {Qj>1)|GLh zQ\zzDx[>=7A WN hG<0=Ca9!ns AQ>vh%ZL >HI`(bݏ4·WCP6Ľ^ *s g&$Iϻ5haL(Mp\Zq-d-7s^D*3ow!Pd;Q qBJKK,eP!as((QZBXs\^ gnX.CVK6k\0d[Gb8[ey~>6,o ss1/Y92!j;n!{ghmÑPN>}HãYֿHs[2F GOsO<8*Q>*?o#[YZ48hٓ]KSz tVB)aP8 #0 mM QS l\B1.gԀV#l܈0i=aOUތF P"X\< <6ug꣍mwtDžboT5xa3z^Q t!=W! C3bblI1Тێ:OZU<&O R ~\"؇U%bwHʿoh{yvwbe+*J#4$vS.w'?G>KH70dh M'L9y}Q*PmI=-T ui?pƉwa2Zl=ŬG? !roޏIǷ颸X s-ymGahn5wIcPʳ%()k:0[Q'vLΝBdcu/-$ՕPC69OSC7$r謉Ƴ6JdļƙlXLa+j kc \{iׯMg #}ЉQ#қ1*fM{FLZ0˗2 RR|{7,̅'#ж}&Pte`@+FJN g&x ݨvz3=F#L s:-)\1gC1FtW?|{'9Wp<j#(9%#DL>qݾM8m 3;8 Chqp#BDBk aۺp"U8@ f,D=9H{n#-si~c@(}a,gODB2±JѲ6e:4$H0oKJBiñhW(`*q8:\@b.y[sIQKg:&qH p fdм뵄Jm4 c,@6nQQCg~Q+F P|^7~3lrc҈LxC/#5'x-UA}RtFކ-u; :߷zF< > 9< 25Bj_ҸĦW'W &>"u<{A[OJsӣDhǍBvaV6[V8=;W@ fAp}'[MҢq"Ħ,TD)Efҳ~JNm+]ft4uI,yrHղv#d 13qt*{څxK_Nӧ>䎑^1eg׈*A) M;r֛3XuZil:P3X$F0u+q]j1ԋ` F=C)4BN2"*GkݛĄJ}D`(S>Ot,rp뱯>wm_3o9T6OE:~\)]Bha̋9+YM^rprTC2 0P4lު̤>D-&t?ſ{󑔣">2累&=2mtZ H}DGa6>zb4:PTk<3z$`Gi"*:Z(A61Ao^`QT;iRђc2B˽iYiCK/۲4?"FfbFS϶IgMHmqBu>X*,I}V`,2\Ë#a:VSc)("{;b*oC{(`SNiy2e1~}{7\4Ğ2q~|x=oH*`T . z 5^c{r:rV<q( phPrs?MzلT +Ҥ0,3hPtVÔHyb" #[(y :V\cNmuN:~r*u0VYVA Ngu:Ng KǧF`x^=3XcTB Ag?iɿQmtahOu]ao,h_#Hi C+9e@ʉgF:_*Zq\oS&xfh＋9{R vJ8Rf\5|%yt@eDikGH]j(D9wB8X|OQqgrOÀo hrfz1J{5CY!CEdr(T/J ~_!\f>kg@vQSp -t/z.+ d3xn[_]I+[wCY[Cq ޮEOLĿ[Q:*0OBQI*D@ejag-ĽR9ì5R@\ϴ:J;q'R|A (p !Tǀ*<o'@Yn*Sb0F8p}h0k^/ӹgk/SM>{=]xar#ɟ(}xLVpr7]hF‡`"vZlPhaOc [4 %Tshq! 29$>O$P5π-mz s Z(PBߝvh:A8+|8 AJ͜"LT97@aɲ 밟Yt=3Tu^-"gF}؏4"eW` dzsP\;=9 5 80ߢa Y(*}J Jc6[Hf :UТ;yeCӅɦWbz+:@q 8KDDž#1$c$X('FU )篧gyx+J eXYDfo >A0|#nɔv,R #ZC{jm7(U 䞞ez{>'N'NNuw"=8pȰpQl=ft+{tcprdxM# qGzߩȍ=0f:VQXGC]; s6x>0z!!aK2_B^BW?J1֨6AJAn^?OUGDBkD3Kbn#$>wBh{UnQFeFjT* k ji5:~GE_taF_#o3 a-ڽOv8\hŨRcؠGPYe *{"M+B=͐neMSG5OkWi$d ?~h)ִJkԏi`BBy,ʨM50+dl u䴞ՙf8\t42RӒgGyQeY ^aF0N,;`LcϮu ?/`6y~ٗBxm afKX0gI"G ﱯ{7Vp1(#v4!G:qCUN?fc##iagnhʯNm9-xE{UQDJVFa)h2=nپU6:h PV6n6@jC&s#Ά!!}u=U0 wo_Lje)mLu=׏, n2Qr @m!TO"L9>YcV96euV4V9^֡OpE5LӟM;K?g# FksHE\ѓw({þ(w~؊cd|I=bMUܠ<;!vsDgύPx!?# zjb*p~-c+th77TGGG#de*s,!;()Z\?z` .6Au A(Φgw{~^T}pj4MYDf NK'mEk-G&!F &8UԻy09g䠟<} w&:WLH0!YJQF^mm=]xyɽo#{ 0.F{gA6]yڸ{X]M(33lCgYw_'BPLd3 +riB 1`ְ`"'[fWD":l)tM[ #PjbkaWLwWנY>5HQps#Ox1x֠tÏFo ;@Тa< F"P !G{<>&("9 A_bfޜC{1a6йηֈ1T)gؙUծi<P?eZ ek@hMѨT<"JVؐ Qʤsi nz((BK{{"\SAh.&2.\LccV1P4<4٧LӂӓC,r9" <Meۚ6/r[ȓ'?d ָ>mYjGF>iը { RDVD6>fO]ٚ?}3Y_cݻ\a?z h;{Q}E5h:0v;Q5=mS[[dr #2Ký5OAXE)kATd!%pF]!bNk F+ (' F}< 4W)L%iE$WoϯѥGi:` 6Y3ʱ7O X4WOkK|̏X O7e~RD A"ܐ2aw}n @k;DhnQ{x*`Em\ A&aqJ%o4 y*F[Nt* aTk Zpb3+0=ZV#Bs4"@M^::9!A8 o=o.D;OZiaBTvNohv~!ni FL eEdk3wo pz}:uPPžK">;k6gx_V լ@IDAT/5V5T͌s܇)4֠#h'kȠ&>쪗VIm nX86fτ1~~C!`ag]9*gR#Tnaj Ϝ1VcMuπ!abxꏾG co[bCRpvѵ6紉 %u';վF0PBS'Pkw;_N|gWbX#9$eg{(U%zA0^>3HSihQ}BsE{?˳؀S;u4z yµU9V4<7DPm'Rj!nsY 3":P 9DB*$*T/M;< $VpDmTViSg9Y|>󭿙׷^3gk#2U'f&i(gӺGy<6:Mʂ?:)z:c:!tkg ݷCO E]e´JIg? Az#jZC! (A/M`IC 2j16b Ɨ 3*Zh$Q6Lh)6cKϰTx$6ZѪr 0 5Rt "eYr&طzM9MDoKc90X-8qzQЪ[f!"CD:OZ<>kĈb]e}:L-,R;A0gQmitG&MX~`,7b#4v°amߠqZ3#ʺ iB\ b= 4۹ nDK h58=(c- SsÂh  p;'$:A9P+fH#6`㱜gД}DQBC' C1 { ]e遣;櫓4?96,-u주^ߥ HN1`ZCٌ?9*Ĺc F8^&fjˊlgj 2$)U<@Qcxnp Y0@ו{;iJ9Vw|otBy^c0 aszT" Q1aҠKsXlx$׷&*pF GqYvڻA֕Wʜco':>HׅЇ+'s̏Ӌ 7֎J%\}F?<9dTD PbH W4y΄NAH2? C<G5yx7 STqm{sD30Ot, %ԃt'ˈKhh9@G蓆BxNf ggduf;=ӟz2]}QyM7~'s;޽i4!=#yFu9ٲJٟ> *Ux8agM,4^ao>x<Ã)K:aT8-w;GCj4}K mtD4/`a)FG'z}2H}Q^^YJs4?z*݃k% ,G^'ZKߖGTvc{^O?ٟ>4&@.=re>[8_ /h/3;+mRHiҟ-7hŋ4-F_/`'lq"FWlͰJMBs )`)F_]]$ Ӹ|'K7~rF=" @oQrD~ %vQӘhfLޤH[eQ\8/sKf-=8* F/dLê 8s k%*}tJGSC*ʳ³j>wFi?SC(CZ1 k聙hx1J7DN`X.Fb۔En2084 pJ l( jcWX!KA ;ɫZ`x' hA]CqƆm}݃?k9P GWHIT Oj ÚvV4B%}XS o\YJS(\4x|NyJ&y $La|rOA**Ct Gz0@?F|5T>Q㮑+|c\#jyߜlո6&0.)ɷ6ax q#| w|3 Bp;U#Vt3x57svu: jgW.:xgsiy񃴲x 2@;h˦a6cS`;ܗpri06|Y(B d~>_HY'# gzeMBe`/G15;4X!OnއU&`Z]^&uq N.zac՟=NOgg< <6BRv(s-\P`,qe"TIK7APH3,8*7GwDޜ(ֹ'{bDH솴$n&a#82A g#^ctd_ ]iCi7Sl^yGs_h$ VzkO>/E3!rGeCw!{YmIݏG?MttbP?!YNm9t;ezvգofU9dX 4t,QyB!,̒A1i@ "b־:JX=X6kş#`=2b!:I:%N`'6Ae}?(``#l0|GOH.HL{QNGj;:V   { V5}'hsvBbWjCT0l{ 4bLTCLװxPcư?BƊ33j GPD*8y)@#f0dF!y/0p :b0k1'6ZPZI/%,#"FoBFXËsMiafճŴ>RjfGk Lꢹ{7SL/U}Bqh?~xyh{4qf]XDz|.8JW~{Pz_=Dh@"BVXG;-p$~ch}Fv5><=q@JwW!p*V߷B1d/0B(>+ϤPָ7OapK<\/K[ʜg̤$1%q1"5r MHQZ1 S 3 g HF7@?=1^{YƥS"U9%S׀ ygNL@z}S6}>BMWeEJssJsRY>G+L\s,C{,z_6+3pyuTP 1tقN9zGHO~iHG<#bC[ţ|6%Gnvg!N' ҨjҸoqGAa^Lϧ\jzgQRWXmʁTQCTD1ΕΉ/,ɐ1'_P5ֆlK|<4J:aܻTLf;M!@Z&y1>;〘 g݈K܆0x&}t1h'&${{>-/PU˿ԥa{?Xӄ߹#)]/\YYzȺFH|26BPiu_-F'ؠuF 6Y H׃]LlxZw层gAf0j=%zهw*R]cӼ*a*ۚxԁ|C-`p;&z?f.T2Z R))A`fx[>fiA|(wb>G^;&{z޽pt!(Q+$LE}ýTŰy$$t(vh=,&q{,TҲ]*jʈ!>)X>$Pƿ%)(D;Wϗs)%5!Ofxv3>(I)c0g},r?M1Uk'` 5gW]^WikP+ M`yM x}\_ Sl|Q<\=raW|z-%?[~r#u:MQC*+nU50x_%͚e1\'<_g,t7l o.SYn^̘mn:)ϏyC}S5kCYo7n/S!zgocc;|:<.uIPvsgcblmjrm(xMZ:Zw~/s)tTxEOB%ׇֿ{<1aY4F5Id*b`E'>;Ә< GyOm')J,V޲/2+%C TYkuO;|"$CxI^|[?˂zGă|vŊ*Vy')Z ,V((7Ř&S;/oSeսz>KPLZo~DXgItnVJܖJH!䍼v} 9f1ٰj f vSt#2)9fq?nd];0) hiҀ܋ITnZ4= 6`+ӃON9'of9fltpAZgc) -i,ih !'d0;뙒IV %y&%ō9<SFS B[ưx9L};%e7 N#'Xں<7k#X?͔~KK+LJ-O?r $IxZ'Edy7+a\I5OQ"d_+ӗc~e$/JxUˮ;^W.3=8iSJT0")ck:`;.^q>SމR")qp꺄]KQwu^㍻[ZBtM3aw8[k@rE% + ZDkKw\S#и*n:\ "ɝJ4Vh<Lb#n_rtAHYVܡ}@>K_ʄŅoՓֵ+LCdy?H}_zmG.΂ɓk^!xt5$;F-ioҌA'fgsݔu*,|(jY'_)soKӽ `0%P ^%[U1B?B睠nZ, Y) J:;dh(20 cwK~\@i )c|Ƌѵ. 9Ř<޸4x\S Q:X+sSZvTYXh$Cqq_VK1!x,i9)YXBYw̏GN <"#^H:A  ?FJitrD=%1o` H uL0W<&| +^hk|f*>WAG1WQE_1[q[KQK³.гFz}vO1B&"܀s6=paJ6ڟ!y@Ƙ1ù#0}dYpۅ): h31o;фS05muJ=*ϐ T8K)j=ϗ:X)Y?%jǻ;vR4*8_;$wxfgtQ]@ @lPZI~rqFQ΅ZHI?h=Vu41I.'x혫0ضɈe|+O_OeCBQ8%.ӟ8%p/kV U[?%ƹW2z T}Oei+~gy衟k/$W-T,ę fq8A7ffˊuu2bVnŒYܗ*&FI&'l\$<VqQM2P(OBǀ Pi]%쀕qUF8w:M!hE8cZzA,|F%LY0 1 vJ)ƥneqw%H FwQ ,D* ʕ1j>Hrh,2."rGa\^ΞGH221VxD(j)WabA` n*^ ne7CZ/F) O$C=k ;Ie? jO͹i.g?Qs ?ۮ/u;g~7rP6ICk? 툂7sPL0(Mց(}(Zӵy)b ̠`—UvIм3g/V^v }Z䵰 -KkxAsvևOODo=Gx-Y,wA8^DIp'&ǂBl5WwU Vѝ(Ekݹ&w0 'Di3Y>X`Z,GtmẀ 8ʬˆd#{^~]GۭzuMg;J!u3{\!CxkX_X&a{i=tjܯo^gk~pUO=F]{ďQF᷿/s?p 3'gFY11Z שM$8ghj1vH-HNbb*` / J )bL03ʏe,yNCau$m\x:nZܨ Y.>5iCUp[ooM)&=<{vws5Nj;3$K!qx1\2Ř z&"~VIm"qmj;K p\ƔBh.H>1;x t_A5pk};Eͽ#ΝURZS¤m&HDֹv3\bF~a ILVV*Uc8 "5V#H>zڀk_|MqhvϤ,(mwu1yNA4Q'HSRxS9lRE/~+Bguj{I05L\%%X(`OnHֈPTog};]ɭmtdw+1 g`% ccot߼8% e_U0|Ffx&FqW_wzmP(THESG%ŞG  6FQ$QZ;$Y5hktn[+6>'Yft{做$^q'^cs :{Y)zt`Z׵O})9făhh{h}l?!@Spzg8rfT9 e'./ o,59t 15F6 )Z uzJo 'pLᤄ>  g aό@9\nIs(6a$'oez%/~LX{oEww`yFy <F{ɛ~l*2F3#!XNTy+ֹ @IuJgo^<ׄYzh WXr#) \>n |s-p;oJ8yn V4<go}  Tcov/q˲@2fڟt:LUVʝֶ 9Pa3o 0xu8ژL^76Ve:u[s?'LLLs_j4H@8ݹ方V3sqAq*+0 k1T}'!32"z}gedOCD@Ĝa>ҺU8`ƶN翀~5\QɲQ~CBL-nkF|qqqkp潼bN}`=XT!vT=߳OLyt"ݸcS '筼 < W0;P)7tn-_cF,ʰ"^ӵ}/W' kZIrϝ9\(fCLӖ{nXw2Ua߬ݻz֥:a[YE!̟bY\N[[һrʁ9;KOB br"ޥy6nkB#:cJH[! cMA*R m힣E5%usdP -~1m %a2]3Gѝ>h8Lvc,shG#ʇ_[)%pMz#xʓWͬwĭ@:Z(G,o]*~S78Xd{9Wf}S<@=;X82¾k ;|ºkd scbB\/ $ }nΕWr'e- ?Gbf9Ycvc1@ˌ9628=C}'re5=pmjOfMxpҤ:X݇_WLOM=p4_kmab`u-9|Y#3); `!HY 7O$EV8 7ϊzUrakm,sǕ̓ӥ!4iZ質x!G؏icŠa?B`;=E a0S^bMc==w]F4Aq\uĤَCiW ygh6!&%mlr^ϝ*$ r=NÜXm,!3~U"ɭc㉒@ %7tx"h[܁-4bsv LoW,ˌ༘v$M!WKXO)u7:gX艵L)ŪtH\UhHctejocL<7VױwqW.1jZLl~q`uMwzs%Ժ@P^xzKtAWLZeP<ÒngɟO {ii뼀߹,oQX+7PO=uz~XnMgmOR%Ҏg@r_dXm5lw!Vww*WtЋ0^y($ h<~Qz6MOb1Y[jOzoZ.hNw0?Q񑱂{#|ÃXD_ #F:ϘN<^y5Oj4T<,:Jz1mμ=¡;ߌ~7<^'_yEbŨyKJ f CpZ, :%YokD?LW:#*k:)Ga<% D ݷc'< r)f'?U凡&O9V}Q7e}9XGܡ*5X #iPx~XpuSL+N~`S;ŮQbά]#TƎ3n\zPZ݃eʓ+2̾Rp3hk; -c¸[+FS(ajPpj8ڞD\ _At7_<-~Bz1FRR%A'q~b'U)@1 \e */_c3T1Vǃ>.;;$ڶ6e J Nxn/[P@\I;㿔2me տpm'VEE09_#bt0+d%hp,oux̙ڢ7Dǿ,/#u;XVw_9dq"odާ=Nik K[rXo}XI-|{Gv`kَ%7ɪyZJ輦Q_'LJ}2Zh@A h;@ˣQ%z=%- Z?2f%ź}<:w3}ŤɎv*w6htI zOjŲEghv4rKd{.tF,тaYZuGE`Zmô϶K(!u0Ey 1dJY0$n ͓h yyßǖgj9uV#ѣUDwp3]Ov-7R2"/Q3JD2}Dni)tjO<*b^ me( ) 1{.> ]rѻ.,S רkI}91j=VJ9Cn4[  Ug?)4iQYVx9G/k 1u!n+!+~Oq[wOvb{S"VL[f;]Ⱥ-:mͬ֠fq]X=OΡ`N.zG7-xDlg%Ԋ*X4E!lW} -6@ⳑ!N>]|pg)'nbD!u.V/|{ DYShy2)FCYUP7{gJu ߬Rj:5w3Tia6L?Z`~`prG51w(DIM*h0< C)NhX^y/- N^M"%Ra)ʵRׇxHy%V.еy\nq!R5SiM(4K'X=Zm_4x,H^#;`]}#c^|}o: yȾ|r<ڟ𧃘xOfDz't RvQ;:k8AIp7=;'\qBXW%Kxb_ܙاqA]; t[1&ԛ?B \Y.BYq߸փu? 2xi%1_mZ'v@՞i2""Jxms8ձÇ s-'MV2ZFCW,]v;{3Gã fR-UÝ:k'k&4MwD0ivzÉy+RT=p}db5!-{Qݠr]8>nZX+TқtKЇ i^#FV"wV.aXaGɖ+[JCP\KEixXs%3L~waՈr/mCl;*gU&tN'KҰRY]"_8t6>Ih ptcy\ys}?ge W>?=u:$fd$|ofUlշ};Aio4cD&1lw^$~(7Gc=unJ]yX?cݫnΡBl)B,]OKy;w>G<_x.+;9]:A= >l"V&:]ں|;":~3=2^rqù}'Sy(M,l$0ED. Ľ?Ƅݭx偩5u?;k]-a(#Tb>I Nl%R|;Vt<ֶs/܊;w)_jr'V{y?y^w$yBpsCah@nO¿wB!ƣB:B`2׿[zY"]0%dЂ /[p"V4-c0X2MoT !N ‘.{a% f+ 2C4K);?r!{#p($D;1*\jpk%=ԇ 'ں[@KL†0Q Ůe@=V41js|NL"9n2} XnfyC\8փ+>N,eu:1M ΟOgNMss:Wf 2ifڈ5lwF'b#`E0-wEA9/ HWIP'Aᙛ)0mr ^ $Q`A`ƭ Oɞy 9+M^#nq(b@@r/n^nJNmy#RrWuIHvOd*up]D0N@쭞'qqf63&4q~S97 o2ᏵPE(]:WLس+V{|O`y> Tk{ww>?vUvͯ}n_)U); w(O<{TR^ \m"u=;1SbC֣ `f ]0AD›)?~__/ϟwe@FTv/~y\eA\I8yhNjxVyy;JW/,7ξ7@ӠI5d~v|҈kbU~R U0;xafkrJtXY!h:_8]xQxk^zx3e'/WmEΕE6gx?voΗ_L 7@,X`,ӃS(rf팁ۂY{hkI C^3Ѷhy\Bh-BCX ugVk3Ta& +Mb*1)p'w GJ_YS\ Xŭ,aPf?!s^ lׇݗ 3n0[-oBhDB$ +Wg$$(HLu+$%;ꭏrH?"}!} %$i{>떃᧽pg0x2fB2И%*b.`Dx:8B[!ҜNgu(G@;\bKͿv]+wN-jז~哕Ւ3Ez.CHDz]uE/P.{g`B;y$mp?%}@AD\,Wr̒rΒc3pY8HkǒF'#xntȽ/gak 9 ip\„ϰ*4Dڮ=鉒' Rs E(t8){)1 Ef/PW*b#O%YɝA(axjܳZNR7 ‡0+A{/}J-Xt_bw#LXk;e(]z|.Zleu,~sooϲo-1Մ[>„Z$F#{R̖9X7O_^?$4ᚼ<O a;_Jֳ?z0aC 9PJY>盶x{ @hz\&O CP%E#lN!wMOJC.CXzQ^=-yϧȳ~Ÿ'8O*?>o7C*P.Κ oy> WQMӑN\@+1Xn\R!¸V!)9͞j`A^:>Is>ަ4%Ȭ EyF7 lݬ@syP f,јNi>ӔډSē|k7+1!2ͯ,K;>Wüp&MohGlĭظ K+3p{m\nWq _aʷb ួ_pWg/g0GRëOCyX{v<΃`awb%b#; @ i/5lXFÙ!PD?U(ȦU&@Y0(\)IޞAh}&)sǖ壧Ou1C /~zyVDIsK $1fxyp-TҔH7b>Q4bQTR(\d_O!yӓ҆/ 4eMjKOwAu %h 5JD1m_%O c@4g!aM w)bFJ 5 mҭQs(F,w˔naw#;#Nx\L|{SfdwoB.IW/ݞ:_y0%X\~CɽR:V'6䋡ZHҬsè%iNZZǃ}'7 )ߍ._\-ΫR X{WhZ0Kو.U9qV7LC)7X#I_@%o/ wZ<)~f_Zv$cO{ܟRyH9bx=q 3{ϖMIv/'7||?9HF#Jڷ_ Xf/ \yCwsN e$VDHTQ;LH Bx ʄ&Dicv ER7π0$Y 揩DS=1k01ŗ0Һ8&džxAԽY%L&{ZfO@ez {Ƶs/+QV ]ux}XѴWpV'z׋}3/,oBbQ{Bmw_Ӻ)6x8{vJvEop/$/ Xyw:_/+ɷ0nԸhsy y K̦r[|iy鋟XgVpv2@F kP?jm|)m%KD77M џh2~zs=np]L~rx!g(K=aIo}!R0!4 xI ac k5J{f \^it!Z C%!$MĨ:hq<= թƄ|At !t!N7=4ҷl+v6|C@F ״ѐho:9a>30B(Qˌf>:b>{#ؼ=iTԹvpeo^ }BF1a[!͡B#yF G`0F0n֐8бFnI!st1#U X; I 6}v>ߚi0]saڼV`59`|h+YaB]`(J(woFXOr '1q)6Q)46+1=zoUB:AiX?k50i ?~h(gօ׎?'a= ϓgg>yepaRG_6d{ttnȏ7%z:yb_ R|JK+AS.4ˣ)Y勭7㡇u)+]];ڐørt׳i|?Y >J'z-_|˓+LJF\|h"c.{4)zlt&B],9pW>S]~/~x~Hbx^syAՀgB K(3>ۯ>Y_uj3?` .31K~_/@dCS4@.J0Pޟf1-ף06rZLXJIIe-U]gpfe%$=ǗK).O:޾{ ˗>~bo|n?YEUy)BQ4s8U'`,x@˃U^<{[{XY>dܗ_TtBʐi \e\Ix 6x,COfA 1z]@<<+E7/]__f FBƽsc1$u_)#+V35̈́2w\@$6C+MlWV&a?}_-sw0z)\11k5q&ddH'FR7 Q[)Ez?WYjCָK`9~)=%MwFʫOp4Y"bٛR  2Ϸ";)f}n Ll1aKJPg-rzP#G1`1r}?${ 1w /a{[~Yp7*ӣNh)({w*}:5H@%Ynz#:%nj%oeC!u$HSNj^F.)޺k󷖿/rҍem v͎xǯ]Xnԩ4wGZw_yJ픑~OBhX>NhmCg{k`: a4q/9poEMiܹ}k˙KNt( 44_`_R+O m%+ǫq^ W+%~,)?2W0#»8kA7\ %n -t#Ԕ{S)]N6ﴦL0mi +nz!";jm@evlb $ w$Ԥ[~-hLoޘ nQ#Ⱥ|lvv{M[{s`/CMJOzoF4F6Z*FZ;X^Y`#F%!nrP%k Akl hr]o"vH)`9:5BÒs5,F a1( kq>+kHpLB ֞v繮|ۃ2/4nWNQk=BZC3B2z\ytvn\hw߻}|/=lz\t~\z9jdn;F| °?;Y( J:rx`Ǎb'K*Tw]:ErY}ĻC/pK(2<ꃕ E \4pԉ,!/dWCw%gͪz%% v2fn)xpka9v<1&Bv :#Yލ> hd99SֺHHt$JDJ^CV<#Z3:XǍ4HO^>Rq c1`>^#w{p&_޵[x\( {1sUlfY^U˵wk+Aʭ`0h/~칲 >v cJ KK1è^e:q<£Dl|>wgoB.qay1K 2z]l֙spgR 3>PV5)OZ9XNyłO#INMػU.~@F?pC)R_^Ȏ0%Q*}rgn\4 הN(+e~8w[Kr4"-s5v?]7c`R(dh_v4kUNNBow|\,r**>坟zL쪛rM ݿ>MͪFwsa8un3PDZ Ͽa cV4QK<%Y^])& tNjꍿ'fH'|bˊ$u3ȂZ2 w #FJV¿to}g MS<(CoqĽ C5E]ދIsTp ]r3S[ߛg NuBA{_ä!F'ԧRm\pƹc 1LVv숪Ӊu˛ Z+ρ8aqJ VY7" 0\ 1&ϥ˃_Uyh.{Jlm(sŒ%w;\' oݴCP@LJa۾(%8پJQ(|*W?{kEW>Yσ7fk'^x% uONjzj_VPͷfsh=nYlޮTd_DV1ӹwYv<GFᄸP]I?0A.C~ ;}I&LpRVASR<`< QxN=b2c[$v7/AJܱ&Ib~JiEGYƎO܄ۭ̀Å'3f,d_ϝC,N-_p5F5gB zP+4p[ܽzr/-oԝrtU5Yao';<:S( «2+) YsJx{b񍀻ZAC< Mj˜{JH! phs\m|+^HUl@ޚ aw4GMlW:fZ>d#Ha!8UZ}ҾQ}"v OÞNfKBbbp\ܟ7#uUz+y5c)-R0rO˜JCdE^rrgSҵ1/Đ}!j"*F )11A֡/ e!B]a_Wm} O?o>ߵQb33J뾓sYu.(H"=GcO_F;=TG|-CS}NY{?8o?Z)`^سIKdWph7;[1Hy,lITj+@5Rzs{=ߝKq`%B7,(.zM8!`^癫ޙhB&a7|ntMZ;D?4m᪕5Qi:3 vG:vZ _*k”+]p1/W|c_^q[vvziFQ|=Fm)OS{%XT2zwvAa2?118޿0sxڇ?K(s_0Y!xv,s{י *;NpI `~,I:8}/=bX=JYrյ*! zg"Q1jt#/^&ٕ? X!G7\t^a)J?ZMu䀜{ۮ62˜kø[`/ˁi%KxfkR#ĺo rqr;zU*0=20:Bɧ^#ݾ_^`I~FbH:R6bA ϸGyDl<\,O(~O+#ZPb{Np퐇>ǻհXKɈׂg.Oe9ZXȎ68ϼ,CHUsIڪz~7_ȡte(&7l;n.$;$@J5lO{jbxMhǨ3B߭ZU?ߔ.9= }X%܂r!fb{:hʇ\Ij=P絸Y.+zS*$(tpAcҝ0:h= w:uӞ!wp q0]vMAZY"iy-0ɖ-\0"4iֳ Ϫ2ݝfVۣdKk$H aMzI,at?IbÍi}ݘSxk_ u֊ Xnu ߱ G ڈʢ=Tӟ*9>' ?LB|D; .,}f,by9~Z$l%ĕoj5nVޡC+=odwVQ<쥋yvas$aRǾ4(\gL1Z))GJX"$ѹ XRƀnެydS h͋v1]7) `S30⑞s"OLYK "=N`l$V Hi#G)jj=sMo <!G^dZw}8~gvͷ.;ZswJo$wm!"k!O0;]p9``ȔD pv&y#ׂ/<x[TNǃ)# )QE2BjuB95)ֆfdϽU0 .0b 6H=!_CJLQrab[h2#e0JBZ^?7x@S d*[hfs<.yco%;SR,A6ԀPCP7t(oHWhݒ(-DK;7]Ј0L18HC51pj0"7%Yq. j]޷ĖP6 =h]CH)NQc4B$)351\ׄ q܍i\jipp٫ ż6ŏRr{ 㶦\'=yY؀A<beﱘ =fEtw}dMXDˊ 0<+)gwO<<|8i\&]|c)NjWJZ2[B+:*7_ziyj/.?%TX/~k \pT[k+K\:t< z M0i  -3B4K߽r_x}y}q9> ;uiێ('H!ڴM@qw*vW/&/2Y̗fqđM%Dݣ)<vLlOElV! g+M00P vpa&Yƒ`6&cp["#Tx=q>'ܟB7 zs;okoĤI {dN%Y e.}Yٯy>&tuM$L~3/$ B=X+wϝaָk/HpJL!z3fs%4'?GWcZj@%RJֵ408c ayꌄXzMzcN@pt yQ87z='#vp,BMwY"2\z_ 3dS6p\Әtu L7\O=@,-pmr  u u;:unD `s۝;X3$(;ƭA$Fj#`{9{wև'{ ||Fpd_3 AZԶv\_ ¦&ݎg-q0<^Qg+x(巡noV{n6> ?|Y7EHH'5AUj7k:²D(eV{&8A·='%!Xc>3 WNe1-16=[)|uCXRyrs?.io8b<uL 8 1EF0;ߦƛ7`'`gu ǖ_F½c z$NkD8`J꺾00D}KzYģI|W+r$$'2"[ŀ,UAjr+f(Ke[MS &=bÒhkw#*HV+&u^h>v\iB0'k1{1QwSs2[ϸl"ڱD ԬԬ'>Z㤒r('Rb2ҽ\Q,?L];Y Rz@X\XsWiJ>w\U'1au/@\, 2_%GF}1_b, ]4sZCivp,^h1ԉAm\CA ?4LgZF탐}?%fWvfbј1`~c˧?u2wϖxr31DMj3x\ë$ Xwoq̵@O];ZƩopoݛaK8HQ=}@ ,wF.qGRoB[aY!0G IaD4_ 3:7[v)McG1WJmX{ B*/#e= Ǽp1gp;%G?Z7lx'[}vw4!3W޷;Mn7o}$QW&!6xgߚWfݾ #\;Ok aS^Y1>畢sɣ-6 zx 8zh_S"o9x lz\d:C{N;5rf`LΌ;SFJeý 0Y+^or0~✱C!R+;̓{rY^]{{U.;_BCZSE1će@m Crx`k'or:\LY.lpdrؾcǗ#G\^x˗k˧?ȉ]GKi] s̍m~AIdqǃԉSo~xiMk?'0o貤~ ōu '[K7Yyg_o/_x;¼MMeB1S@msrG yחwUmϝ Aa@)𗇸 '9.(aޫO}j}2 |g =rC~'…V d>fw+W<+kk0o7xd>f_3Rb4S\lGg8}e$%fX݌H05B#zG ɶ}иM74"jsgj4w⩄˜M@"SX4cFc@e5']=&0p6=$~jO%H6^Y~ !  bf3C:[ՔRa00G(s\'aXsmRoZՠrtx"|~~!JbSO-'+[=RIJБۙ -=;tdռ y[SU"4HK.ʣ?^<{vrUT&i}$/1SuHi \9`My15Xaŝk[|e3;ѿY~~a>) yx4jYKD"x͏9YO/,w?x21[B/r5 ];\q\0ckWж6l[^jfix<ۭ;\<&x`7: rJHϿ8)poG1ּdRtzII_8%xY<%wOOÇN5J DSg.ü\!Y:^U'?\-v 6ס~5wځzsSc68W0H&Hmdh'7$|ʀ1/<ŮgQ)ّC Ja9ͼğ دGc7VVn2!lo347u1wIr m7t5LL5ajyE'мMvkjޠje_ kFUuFxEIJ?m14IÚ?! O QfJHuR'^V$g;V,Ar(*_tc1(ssɌ79wd[_D#T eyon _o8kJks fp3N<Z.~<3P b߭Z Mͅ4vcItC3e& %%0SPJ{4q<1Deh#@q=]5, < R|waC0M .Uc}Vxrh/lXS}es+'u M#Z8QzmX_o( ܶQ5D }ɊOk84hitleLW 9%P&k;Õ y{&fF{弸e:KWw@ДIՁ| Be6)ꠗnSo!/O}m :g`Cy>ؙ7"@qsR@1h-,Cx-b|x.P#D {?-<6^k30' %;/iOٴogSO볔ۈJu鳵BH``_0fy!Ε !K/@;+UW>ʅ<,)k)a51!JM)\ =cW(h}ssSU4QR C#hWjcӋ<^xS "9 {/(ה•G+ۼSkJs8<6WS #st57U[C#-aN-?;)1(V/.> @3!MpkN=z|0&hu)( 18%6(xr)ߌ<(eܞSPݩLKL//_ؿ,[>ab}DtRߥ#lz+ nޞ3|lK@M ~p{Q{ >:E7/4$Dpop߄̌M9I+g}M?ƪ/=n*}KJvCkCk GNgAGh뫛fiImkrܿ?r*-$cM{R"R^)-XeJZ&[3.8&ay]YVT\X152; 0V{-ҳ]&<~m|7.ob\yX>$8_jU@҄lcdڒu.to4<#F^l̅$Xq` æ0WH_)OWDTkە⯘WM1G<%ZK{st[L.FKK[ˉ}9̹2ub@}9BV.(>̈́2{.o=[oaCڲ_Hj,4T ӝxF4*Yh~E'~BtyxWxI6@ :pH~`v 7D@{Ɠe. )+]7s[?>@ZP;^FpI1~Ûy/1G RХ2١4ӟ"!*,_ v.% lp]}?SH{\NLn-жciygo/'Z Jѿy>+Lϸ֚x?ƋᡞPTZ*%`'z_׎7  ƣ㘭|f˃#y:~%>SXobR6v &QFvo}Ky[w,H^{"^ %ʏ<2]W{DM H]xa;/o,7~ڲ`wyƃx]r%D_U\ 2~ EzKkh[;dl]Q_ +#6=2]yv7çɓk&`4$ftDҩoS BLݙ!$T,j.DX|N ij2,|iZ<cȝN"E1焩ݜb,[p~f $z-[67QȏQn&l$dHD1F(bp tn^ϐk#=gD02?@YwkWDL;JP;(hs-<7Ia oeiI^'0?(9dذŒ Inzk8]Yp9}߶717u.27"cd!F9Ij]8H#E q ,{J;=.mz>K,qr_sфdLy\m\5f6DWm@PrlmׯBTn7Û='ˣQڭĺhBmys(W/[~}'EzOoO)";"~!H!j~V7z|wbH輹/_^,da?Jtվ 呈GmaPUWϓ3Ծ8x'*aVS΢ vEO38*)%ԑDxOZ(~APr(Wsy]}v[.ۇxm~r*]jBrnk{ sQߍor %(}0L6_`$\7ȑxr$ SyF!4s$Ihc63=LjM&S_|# ?VDB?MzP@]3=icB[(BAA&tyq{y >wgj@ZPre(Qnp)+,Xo kxX;Fx@[CDdq=s#PP 7{tYPlA-oo|k|̏A+rr^ ׺)#W}K1ʗeEnNnVhH>Kg|-[_9,t[V4wy޽g*|=^ʌYxTwmΠp&f8rRysO"Ah< nlj/S,ɄhD)=OmoeR'p͌ck_-ARR%!3o]G!n%^.F'Է3?卿w벾}jM頮hb}*i#C]B#awPV¦3l˩N~֓g xfgbH:_K/W-ߗdwBƸ)d \bմ% "= o(BR0qr99-m\8@D@iEJNjB], qxRΐ#|"KEu=Wa吝ơ.v茞:P+B, u%N!n=Clᑭtn)\8n4ƍnlo9 *t˃nԏ4!y )9N7A#v Sj&}G "J:%H~-k cVX b{GL/ ^%s=Z_,X) #L`1$c{fni'ޑz)r u/xwyzٹ"b|_Yxr|{5\`Kl8ʃ.wv9|'4W?-_5z~OY|3!N~,$օ9p`W,eNp+yvDɚpS*a10po.l\(Vn4%|~1p{xƻ:gbSo< ϋre_LaU":OuKU^ل4 )%8c]J:sx ɮ^Z>ka[+~w+|yDݿBYPIiif*fvOfd!zbhao< />e*Hr\C#0HЩz? _zmd|u9/Z<}Sn^?X> ٔ;Ւlt˨hFAʔK0Zƕ//`CÇ/_Y^ɳu+7`%E]0%ەXWđSů|mW^˙z\?s dAs!`y>2GTyO i/o/o-32ɗ[[3:bx3)f+N$ϚWٶXߊ>Xξ֖72g-|V^yb9o7~ ]*X JC3bI}Je6h#M݃'A-5NװдͭqvҷȞ/qZF sֲU&%!KYLa Z~/;ܮZAfM":Fx-5-<{ƭܶQRr= QWq7A ^Ns9CrwuļX37Sz(3biz[PuCe :]鈒p-&'5fy#1ӧSKCMXؗQZ/fi_(\m3MLdF!n:ޚ;ň'TF;3 S):`P~F5\q߾z{eg TmGjy5ۗ"%Q{yy3˯~3%bM6d_L@{͈F=#OO8NM~^z:މeBϚSbÜCwgwZL{O < }-$i8jޗUJi%[fc)eb?(c WCq❣H*CBK ڏ(edV̀ҞSXڜ89*=f~VmÁj7 )BK.L { ~%l=084WE5:s(t=ʙM͇X]׿|#|<s*ag#緕iލqs/]=3T h|eހXyȦvXTJ#DkmeԴ[:ztgxjf~ڷ? \FclMQC;=zܐˡq:V(G og]{~~\/F26Ewj.`Gc.Bw`!e1r֪hL|je_[Y)5f>JH )Qו!ȗrxGvhRt N=?=-zg'OϾ,AICKNSzjZQJ–14;YZJb9hn|N7N"S l')UMIt߲uwwI^\dcq!rYs[&A[j2X k0z`&yEXeroZҟNuIHPcELǀR5GL\FUmHԳKkKD{W%UmB_a< !-mao&X0[37J Ϫ,rgrrRlx,\eiS U ^ cxWM`Fy O(e@Xm ~ q!a0l-e:)cko9{#x7<]Z~\y(, jxj|x/z_< ~k~:zԹqٵ9Mh4N yvVp.GӣGecV1%ns>~*#)ĸ{%07.,IaU`yp)JWk|B? c1,Spܟ1#2}o҉Sé؂07O)a nZ4RZǩwHE(}/?Q^\Jx&7J.7ָ|z-&8 o!"%w\]%ϼؕBZt+Z Ij8uJn -&Mf`NHS5Jqɇ;<̉зE]I)ЏDiάegO=T.˩7^fD<6MQߩҺz u@rm}r;c^^e

CfU٦JH۔p'VdQ;U$ƭ#6?[fbVe$ӆQ@\A5hTlʋgxMZneo*ѡV ۶z H[Ƥ=[n{ɀ\l+\-҆6~11^̌ dC1凜2DB>N/}Fq'>ܼ4Yȣ)8_Iwwz wü:9,o}+нj{>)Lx哹')?ϞY& .ؕd:{n2(1js! ȚυonRd쫻kJQYAw y0-XE[`Ac

kNJVʛKk&,i( .-Xʣ>z%E9[a5|۫x$S{JQk?txm#vǣ^|~ѿRl܉zgy_]_~ۗoVAJdu\@Hv=U4|h+'K<|5Lдx!l!;mJQ^M |4u0Ӝ|<~QPhdy<#~ұ{-GB}٥ǔ={of鰡}≺*~7'8µLRHo{!bYZNy gƋNa<W,&ֹ2V|'tЌrJ=B9(r;ǰY/G@ਃWs^tV +ƐrЇ:-Mw 0 JkoXܻ{7?ly-q\jD$#d.kYy*SB8,4KMQ@ϑÏK&Ky(Y:S9lc\$:|JZERqK |Ԙ<,+&_A_mXFQg m^2b .-1hP nlK%n\?@%:pZwZr Z:Ay7 S\Np Y@W24 NF ̐"!c0k([ĥw5Gs7xGJF`Q389r;Kڜ6Ũҭ<)=$^e/3}H}50\߸<јΣ4)NVҷ{IxlM[kGxN5oMc;R2LG; f? ɭB8r"BLj$ʆKz^uVJM(F vgJr&m.}^Ƙq?LJּ-xz{ 8]~ILXtymG~e0B %/.Jufg\x<]GW,}{V'd?ZYxc߫.kIjc,xc9#UJ<@{71/"0k`Sݻ—]gs !݄<9gt^M1۲x*TI<Ӄ•*5!6?i4+H9=O!rFx@6VN׼ޣM˟[ɢ9 aDu=5NABp#>]z9C}`Ň]O@ܚ_Bd427T* Ϧ4 DQ%*&/lK֤c`wp Ϊs k]Ivls}!sΖOǼʭe[syGpC;}I-!9)Lm3|B̕3 {RCC; ׻=y@pe]k__XDͮL"bܒd-Lu%Rq6ؐ53T栂6~-]kK | C&u^ݸZ0u5\2 "r+nҧu.ԟVz3c\mX԰7#d%KQ"6羓TMVw?%c+-+1A*IYcAvZôGyQn⾍}+O{ :Q/M}-kA=B .$0( MnPhW9=l,?0RL߈ڕrz%G+F4Ǹ( Y"}/j {Bm3nBJIb愃\G0@l} +6x !xHG^JEsGhpC0m=m4TLx' `[ vU$ß7Elw;|7ԕr6OfԗA*`WƺsM?ћ%ʘdBGp!Ogƻ$GИz.SR@IDATP A=8O{Y` l>}, ))N4AkwSƚC/8b~rx%?|dYVy1(s}3t\.nz΢n>!=,@zJhF?WC:!=rdy3_Zx35^2!f~y-Yp,!0ް}o.L4Mux FW6VYó] DB'#ٵxk?/<}D0c7(Na{~2j3j y^dkټ*=g|@S(`2C $fV\ohn­?W 'XSRZO BUNUMWJCQ~'k&h/ pij};狟T<ӟ>T\^r0Ν< KNOx-162:Ԭ屎>󟿻x/upFad$/chP[Gn8|;Z"n^Wkw.wת2J~vkJ t-f+DPAks )5AbZcJ8ܞLo.!9zǎrdBF@A8+kSZb󗰰9?I{\tCysu.G`̒@<%3RvE(JXƬ [y D,쮧ٳXZw"9Q">Xwy)Kʠ1M");?[˺G VCߤm)2bJc-ZBO~CTrd8[~-x[3kynD x$ntc:8t| ,<3CڎBR8x`xNW|>/x3G °W\fod^{#7EywnaIܐBQ09q3]`}^~元ǧdduan!2gF`N,(Om:sf_//^e%דg<)h:@_<2|UvNe 2 C'g{tk &mQs-^i}LkhCN2&H髲#-[w:>3"`Clgd nb g>MG!%(5, Nu}DlC,u `9+u+⽚yFGLѹqO-t,v0HO!+A|l &gVRM'xvצnh)[,׬)z&5Bf.(گ :_~_ypZx"+Oe^#Lzb66xD`mq[eӘ,qyGH@&2F yGšR#D7Vx(T~1\[)xbuX .JT3uy DޏujU;/>^V]^ov`c=Ug_$gڳ5%RUp0P3/LHdu$r!")偲#9.wℂVO!+_9ͧqЎ*8N; @B K?2 ۱!a!Ч8UqIBlrR$zo<9nacGX*i>֏! ˭}/O rMN]$|wlT4 FQHOiCC.W K jhqvFC31CSdӾxMnQ^G`%;RX[nw-GNQ@[/ɶQSHkjׅ{sr}:Y8*o}Wq6<"1 HͲXP$dD最 m> 7[|/g]mnwY<\ޣ8TlL6ƶCZRs9ܼ\i`ރ{1{"œXj]Nb%.i(J5POKJ|߷¬!DQjX^i 6$Ł򹙐o:w#DaOېd,&C iPTE%"`w͟`1CR!׷ҚL 1Dr62ͳ_AjYՈE ^ =wSi_$Al0AϠPr[O}n<]BR:_'1iل7U*aJ.4[$==ς_2\h~|?[22ogdj8h˚L緘Ԍ{^5m_Đe4WQL&Bc5+OZ4dşxهϏՆPЧA\eO=UXsykRHw=T~(4úW: MTd92I +mU}s)6|Ǘg}t:K> #7mfu iw価@ES\ʊJ H`"Lϓǿޡ'SJTڷrHJsRMz @O'Wot@GDqFRrr$J`(h& %[|ldiaR< "$5+sS f(jYliKYK9I6 _-soe`7Mh>cw}ĮQ.ǠM:ꨆ;bG,\iG2)]#)&^鸦lZfVF,CXb cebY9~ bMq"~go4n>s@rӎ/6!,eyD5|z9dKjY ߋsΩe [l9"!yK,6Ip u{?*O g",Mx#>L%=)4XݦzD$m/gM\?de>=z*uSZ.fARɔ,%)N cJskk):T^S7"sgGtHPVa$f$!!?<{TMyN׸ 3+\W.3鼺eMC)ф?|uɝ9Eyl5f0eYbDAi04՚s빷~B+^l:`4S\_6㪺Bb8dh\k 0'5'QXcF ΖeW1:5ENcI_L\+/~̲dlM}?-K;a7K!,kH; n3X67g˝P~UB@$QH]/BZN[Ac:}3)I4rxTRB(ﻆ.!1Qx*Bơi< ,2o{X!Vgnn{1Lek1[.i%jK(ލsHPe^o9bx7q]ßUG\{n2+0=վ;!;'_JW'c>`ܮydM߾"wO屿؇%PiVe֙5*j^NPeS⊛c wzInjsÛ֮]3Z@Y)-jy)P|^y` k1D{F+ۮ$@{2L=UAOX󡼏`8_Qbk<EI,wssX]K8SvS!ŔY.f܏xsvVuy׻mD?=ɷћ{_N8Zպȡ7yG];TMZVR}aQOyz{7Q/p"c ^ 8a~RbsRm.d88,z0./!侂o2MQ-w#:x ݵ>ƛ˞Ԩ^%?GU.KOj~Νwj`iO=srzź*f n͗!S,V+3z^Fh\?ʶ}%?fx#kuZ o9m'5;>9>URu[k˩d2akl*DH-G ܾ CdlF)%7~{9ZŗMV%slAcԄ3dii2Su; ^=XxψQZ@4,0=فd+ 5,u4x!_ ?B^Laܰ0U5#zyyK5N6'4 j$ 썁XKVkIׯ=h ;ءOvh- ؼ:6n("n_J ?c|ԜTJh~CY"/@ fIU0Y|ndѨxZsՕ,tǎ·+7GC[}R&LYLPHT΢i?- }.;:]PmpƩ<904# G)(,_BiJoy&:1ӽa0BB֥>UȩpgYOͧYxvW dZl3RTf _` Q7W~34uǬr rTFfI H6>'ZJ?^g(8 ]t!~m9z  :դ[)DUw=jۚnOG>Yܕиsok˩K G "W+}ؒ qtڕ( Y njt):Ӝ:~ބ&`'hJaYB!{iN?&(0>кZS>3A>3ّ(Vzqniv^9ƈt{j Bƽh ]a}=vƈ+} `y&L$GĿR1n{d~aݯGfB·sY:j#gu$=P:r+J<нٻm<*7JUot^BX mNu-w䲼b$Dpt_:CȲՌa%f{Kxe̲wt'/J3}Aqq{54ͮso`ga3樂JbY9AN8U$ę[V3M]G(7i5L9鮝YBe1~" #!^~=Ox暾]0|'|]}3a~:fS3kg7?򹔀uᇰ}կί~ЕgZG{Ժ\ 0;1m*9`P+Y? :rb8`'Z~R"qHwe(uMP>%4B+^`= eؤ1RX~oMxW__NV{>&Y=? gX۟E b,O1{Idy7h6ݞ(S49H!?/#>kn! %kG xu:ALT&eՔAuҽ,/m6{8N|L'Uͨׄy~er9ڂ#ᓁ,>akXAn6z8#7p'A,&.^ڪUL\@Tj]noH1 QsKz2qSXrtEa\wCG-vO'8m1mYWehUZbD1WJ$_ 1B#74IjB;-'aA,C|}d4Dc300s#ރ4C*B ř:s;M^C!L9f w_qr|[>I, X/d-nLZ"w^g PXoF0WDL: -oiBP5Wڿ}PK{ ?Ԡv0oÜYΘD͸c"7d0Rwb(j##wzrbO(C]5h0C #}F>>U_ {`Cj(Da03np͎w`WTl6HT0NJ|JxmXQn;0R<:ϴ7{lM sQ7w]:։j(;Xo^UnM릱ͥHJXp]HjBz5J9N>~MP=dai ;|KkBr9SJpJ&,(RPxˊ,[-cbz+yUnݨS]Mάߗb-~Hq`*kgMJfrZׄG-.-/t;Yepd`gm DZ ~_$lyx9%m<q<זO7E =LjqܐG'6\ϞOP:&0|$c4.9s3u+i;-^IwbjTzzFj+1u|x^WZ^x<~Ra=]]>}?xnO?e]!gic)<=2& zG9 %4 o >8 rQ . Ł84 0UpEPH_[2Ve:f~w̓% d^ <Wn$xXayTB[XpvO7a<qF軏u(׊r0wcd=̺]$a^}o*>ჱ]?I{ø{O$5X0uN 2SZ;`b/~9Rr~lhW@=10 }b}L0GώҴ[ Cxw-!"IcW/,{*YQ%GsQ&}+krxly3)j;:x~3>Si!A)? ]7h#M>po^流]kw!tdy xG)䈷w:^e`WFrOghȩ1{k)ZpkKQh)@\6k1Ĕ'2h'Ę i]£b}G5_֭rFm3)W|;)&7/孋.=ͪd>59#)YjzH2wѩK9|4]LHؔ s,0D#J`K|Ry%hGyIfI +) f(A8G;[WS4O(Xѭqƕڼ1_diq,hc Ae0T`T7wMc $vD<{eKY bR托o{]Yw{YVސ+qִRlh%fr_GՉ ƞnh}#]5"Ŀ0(w-xu3U{8MDYd@҂waGyasyXN2jU\*i5A"ɇOtDO!S?൲f8X@fVB4F9ח=B zR\ M2p2›5INf;0BVM`NQ^Evtڞ"b,IH.J}IAo6){qJ۔Vn={(>~TZݳx)R7<SN+㩡R[:jas|=8¥k >Hn]~x]xWx|YWSz/zDME#,Ğ΄&O\k!&͟R"'ڹzL4%sryLuVbOPv!I2| LW!q8ak;u \>{< /M[lDyuuR!_ ѳJ*&>|nHs ٩4NBq?TP1ᩛnmazZt KنMXA]hgŪ%헀thz=-\*j&6nH|I4 0a::#,š!{-aT7 _l2b`ˋ 3ʉ|悉tycT]rxgCQqL zu(1ã{w%(OX\j6Bw9 Gyxnɝ?]/}tD{P'xL.噢ȚAß<m*}U vLT'[r Ӛt P"6dv`.^ʧ,p |Y0.=z ו~ m? >T^ތ5lGP%3ĕr 5mik&$ !N?_) w|䙲~ngqU(F9 Nj#H|8~Q|Y}=%`M6 !c(+1G{wW~xd(@lF@]LqPQ؜` U"O>h-Oh#=%Es֬du@g:ap]?07Ib@6<`6g뺖1 $<>hUC`v4(}yf#iQ#$8k8g\N1?c3o_R~o']H36%{Ds"}ZVӏc_=+a{Cb<,wt<Օ:Uտ]}Q[ )D/62t[9LCLV v6{z9~!hq,>:= ۱< VR_Qo0%JI/letIf2F!P/`bR"ymFWjG9amT8B^L^/rEhmkXZ6X4` Weq4~)D+9 m\3_Iԉ( VO6F49=-$tsogc \lAiI!͓ٔQ is1^=7VӇh{cC_xm܏9K LfsHb?b07&y+pQX;.Mgte}@o\,w(S xK$iJ~~DYő͉*eA(J OE x+SFW̌'#goG@qpV\rA(<=2z>Dk2sԱ`J^t$4' % [ fk99B jb1p=!ÍۧNPEsAB왍f{9Z9&f޻v;7ڐ_{a2ɳ'= ԭSvA= b壅.Gm8PnܐfSjE7Q&Z > qht4d|`x)/VwY+ &H%{3#iKߴ1mO; _ydxWm%l8c0|&ܲ+/{ó) >ձ|V?^94 (7U> Y$Ngu֎36._/Tľ޽WY헕=V?O}$gtC=L!yќƏ?#R^O@ɤR6$t,xRY/US<)z6D[:z ~] <"{P9ZD[Bߌ`ڋ|'p%fk+ ?y^_u/.տ^8]ߍ}m<pۛo )!>{?V7gcML  VȽf; iC',҄[Jb.Ydz G=e5Y56!+AeogChZou9i8_|ef;1NܓvD6wE8u&[aִ8d+TN(pZ!Tz!ݖM["օqru3;o'i O&kGvN Ƙ>Γ:M` p&U/s:fB} H<#}R'„%gPn1ZI?VC9 re_}1Xzy6@zC 6BZHŽl{K(79;/#p5mpVNGZnGߪ¹ YN[˥H2n`?aTZ};1;1ORJ:m3p[8'E}hI}!4:'S߄5?%NC/W[1B '%܆^ V`%O9$|L@< рgY(Q|(O(aj/+bt[=lIkwԜڰ L-ox(`1e}?^?yy5f /fFå萁ȽW)Z0;쮮K@X G|>@IDAT&BM IP[ZAS ]'滛?<)0 /wt*<@/H gnh@}59X_aWk—݇Ny1.5GfHf y7O S: H H\/Ɏ8^OC ܎a 0F>dC,L#`@cv (&p&6!(fyXqZ__J Zd/]MpP,M-[W,m t_C,i`AwWp4}l)hK+Y.ytFTr>bbiךlYhe \5ޑL|f8ʨΔ1ǝB:Ɋ;C@!@*X`GRL'l."p\w\cž  ؒ[QTp3QG)txm9qOu5m.WFh}q]SZJ] JޚxiE%9^rC(IOfnڪR@1 k''RU,m1~ WkpV 1ŧ(@ )yq3d2RwS>yVx۟Ar I>:u,0Ԋ#ss1^Ō4!7{w&D(W Wx0$_485J|BjHx ObdC}DXFZ|)6V]'S-eY0 Gq-Q _7 ѓճj]{B뎢vr Z1Bf% ̒kZ z7! i`6N=,ew~ƴ!Fk+ +w߅gVMI8U ʭB+|Y_%(od5],)EJL"{:FڣzW7Ƣ_ `xW`ӈɆJqN*9}).,͑ Z6uBh I^t7.Pr '*SDdS:}luچ9Eb QNTݤ^,/3qn1hT}ǚ9%0FAЄ:ꢱBf>r=,9#}:NDGG`=dIj}6J<m"‰co٭Ÿ35nʐ0g5@?,ܣȩpX{zS myQL^X}C߹|.^h]ak[iGޣ2CuڋEzONF4НN3<ʐ0@MR i{]X(q sٳmw\ O^v|XU^emW^x:z\Ϙ r3G̴U]qfIxO~D Y|~uxH޺nZzɃU3|kRd~bu!ǃ̤#nG~A+Yɣ,MyJImysH?v4'7$xVcQ##[<]JhuoS+@_},㒢P& <>wF"\GwmXx~@y;Q)]Oçt%@X^ AFYX* m+^Kq 60_ƈ1mqܥɏI4 7ɳʎ l$[k$4 Q|z,X J6B[qMc_Q/IxnCjU@Än_͋kģE8Z̏Mbp/n9ONh= }OxZXٍ x^b+ad&Rۼv6ۉ9DokvՁșGUrĜ ӞPӳj٬)4R)  v}36<.~Mw"s@`[gjt(^c[S2E8iB %Ǡ mo^H4tM</jc!Ҿg$JW7J?nm__|꿩"_m^knҮBE<;}yIfے/ >م4=b h䍧q{ܸ̕I:8qqqW1Pz9Hj?A$B+V*&WkH La<7$,\O>J1ȊJ&zb߭S\!!sqs9$c1[|i~h `zi^عXlG66Y |n)얖ұx=.$ M&En] Eljt2K7! .kU ac/z9ZxJ gfs2XruI rdmx^ \"fjC~0wdXXO ̋ea> y{0^LU ?%mBTPUpЇDc,@^HX$PO<-IoFab^3a 'n5IsprO./%KC$N> JfkMpQMwHR9Yg#Rz,$Is Æ6P-|grϱDswoF'ڔ* `wP;g]Z#Y3) u%H=3Zs#x)P/2((BQ­6l^wgX쿲l^ T*QEpo<$hwCAQEXe[;{ٱN(-IGbbhU1(5a/xlΞهafU6//A~\{JfrnBmטH@L/~hZC+ B'hGGHoC njZS)(KU Q-* .pEȁ O, vo#>8.]\<CY v-ƨ4LE86`O1" ]3?ipi?L<Ӣ3q7*Y,޳Osx8iwRft=;N^Zsn/ބo1{RΣ<=l" p)?JEDe+6W )[:$,#m9~[B,fðwyPL~Of{'l X&0rȗ <*tk}'!g4m^ɍqp;{:ʢwZMu˜QM 2kkp~ɺU}>l]eoc۠Oz/t|,O-{}uG3:{fnHL i/$ p\}S<'D D6׳ Le^ ~`{aWr1ۄq߱$ܷ_-klOXH`Yz8e_FA:~>i0rM8ݍ \%ծ¸OxkY%N[l1N)jڪfӱtBSH{ )T({X 6\kB}%Q'3{i_~^6fފ5='՚rjƫW׵-Ge\)#K GC,Ɣȅc1~\|s ji6!АlؙbVLgCH7x{1ÝΫEZIhcmpL~sj.dcu[6(9Y wGH_ꄓ\.~.9$ο{M.^/: :n*WHBx7'.Pķcfj7`{0k0u('}v%ݒ<ݰn<$aL&z\2 r 66Kipퟲ9_!p)<,/(=u\_!0x 3R{nL1To<[ )iys[ %7`9um e9/ut=fݚekp]K$ܺ%s6f8PțA]o0"+v=_8[h?HGgռ>*qO~%'>|$<;uy Edbᏹ "Yޔ3yi(x;L-Pp4gcȏnY0T-iLA慫ͫJz-q^AgDv6wW_Ky)o_ˡπ'l/;{תZz"Tn5ơIZw>R6VVj-*Fs17%\H^\m. }wpP "&s8!wZcguZ+,mH[Ss9U rM61sxNxQW)Ko gS>mG¹4ά~y%РFr!e,%6˕H_<eh\m<}-yC)[Łp?i 9z\d>0U',iRTt;Q&3' P a%ϨEM~H!KŒ X>I릮?m%,!0ő &ֽm-xLӎ>\e$X-}K; ]p%P**fXFU6 p yfĮUZ#ŸR[\ Q!RR(˞R!FKPU% |B`Z6[w))=++f0sa<$<VY%zu<>ϣuY HbR%s)AmIRJJ&5܇;NYL`7L8`=>|5A38AtYrcwiNjЗ,'s~נI߹ЍFj yV< kVׂ_Ϣ7_6$GFcĮ vE0`;OϺ% '&{.YZ2B\G:i]L1t$eqxtֻ("=2On6 8X/ψ ~ ی`Y Fp7a)^sYVDk\>ܜ)KAYJ@d:ךe^~ sRX7%Y֓`e_jH'ZZm^Iyc΃m887 rBr9̋sX3~/}ٱ5р0 0^f GSCW?/'Ys0SNz"}lEJz>%!J1x:䇤v%TFR܆ַ @ f&\ϭ4**ͥjY4rmhdyl=4YB1=ҴB}F] L-BeHG#qvl(A֭6 m]X)F%{V)/3sEX$@*='V ?K$xuqU!s <[<=d+I[H8̈́a$=Yc(6zk% ?C/'̲ { ]NYw]ӶQ0y30 h˽>0ƛ$mܽj[G%3J/.X\XKɉ4x4KWW>6Jh[KLRJI +ل hSǫ: 7$biboUj{@hͩsVch넼$2ˋs_5s*GBY Os , CXH {{k)Y8 0Q p2XQOc}2tSsacA%\e o _`,Gv{Q}: ~#};h"qaTCGє/B`Я|tjbHcSz!O'~BZ=Quj#WJq,ux<( YY$~P竵 3hl0Dm 9 X<V(+C{/٣../?稌G&t죬}W5҄%Iග*!T\[ƌ ^hᕱoݺ5`/(@b^=ųlKֹz)ǃP@F 5?<[.do 8Lo;  Rt᜹f]J< Gon~  «㼇/pfA‰ NI @۬R普f!Rq]egq#+<O<6X/[vŕc1e_9YF/Z[octֈ !Lfr;0Egy,dO2(5AQ@Vq4epnl |)gb (eNwyS !2 eS< Sv^Wvl6q9 kTiAN0- :5.΃pfǏ~=-\&"ͺ$ObSjֽZq;jΓ |= cK6Bk==&MI;TvF tij@0b\&XP,oINY_b445>WfdHߺk]gUwumsBN -Ew<$Do߫K¾_-VIam,l'0 = M8 \aP ,1sv#|}3՜^"2qೖa NcG~Y#@)еs 2 -%D/:eqߩ6m/Q)hfRmВ*8kp)ܲz*!8&}^R[֛+LXB>𑘷>x(t8n0 PX(3F/yꢸ7VF?~6c[r5/BÉ3[7F}Np=Îzg4훑'nڻ 40BBݣvhC~G3e[G ]Q// 3n? ^^%UXEVÄX6+Dᓔ''45 &F A@úijʙ/.I!iKbkFg F)0iY7}4y3'[50*D'|> BLڙߺXQ=u˟.4/ʂ[}ۭM OM)`{/(آ|@'){;Yt{BwzHY{1 mge2ދ^(و(0xj>&ƓT䌀\A{\@[gҤE4y5Sç e0DjoiF1BB\YC.7fA}Ьk^&;tEcK!lvnBy%[yۗ14䐤4sv"hCctN5&>\=Sw[~%;(Os=_|ھQ<&5&wH"+!F NBv x] 3tTh-bުR0"n5p\A!x aJyULSLT=CY煊5@l9X fr*lm]&_֍˟t΂ ex7wqa WV^BEIUZޯ_82VCҰ SwnDgUYhH+RXܦoUЯiW<mѓ5KGǖ7 %^?{^!}nx(p rFG;N[Y^U'Bٮ9\n쁽/*uJH_,[~ѮK1o]pǪ K:vsDŽZbx}t 3("g5`ܡo8<#yauGHB WgW|@>ix>C (=q3WK PZp0[/;kq^Vh_qxe_1@>) MwO7`},% F nqxO{XG4p. 2^6'oHl8 ˏT뫫Uli?+x(}RS6uքz2!$1)MaK)ƥA  ֭<\r&؛wNPRs+B|VŎ~[>h6pFRՕ泓מּOWx6o}0|埬v&z5JO"n),SشMM 1Vu)@S!j> ?X&USvS'O1_JŶ-[(w01[1Ml2V*~Ko!TBr LW~]#zY֎=殉~\7Y6<ܵS6}Qb0;Ža=rs2Fx=$`Q o Ar+DfьcăSCqSxIauʗ4Fg \"gP!djᔄƀT 4j~̭%e*>G;@B<0:|❁㒯YHcB$U/뜸{^/@N3xxzk||]~O ]NcŬg&Oq` tel<k!yPr =} `-Ocx;K? Y$%dؕQު97܄nfB_;7<<ܵ`xw} GO.HJ%ǶG/4zsh0û\՜,ey^zA=ۢ[Xy]C<*iӘ>ʮwL{ɵT4'PF_Z.y KT@;{+-w5@y]l)y?z[h?Q3?p`-yn^>'2?+-: !5'UM<2Jl4~Ae7e O 4Kx5ݪs, ̌>_Oio\< 4KIڎ-ݘz~w+;hQC:H  UpX[՗y,  C&ۃoK&خC]w@A7.9=aD^BXgr !n$i99Zܹ9[J8,#X IJ %˚)VݘBlzڜp UH:{9~o RFCP1GIЖW?{ %8ԕs_>*y|^:{vy*`^JԪ. *[0u: eg*H*z^EnZu|7;;GK wRJQL,KE6kX9&IH  NέIѹG%&uJII+6L:Λ7B# 1ZT V1OUlџy`hX% 6'g P^%JmKO8eO0iWݳσҜpy lj 42O-Iu {ޟHuK/xW;&|o'Hb߅=^|܂- 2WR^ Ky41OA\}IK,gjBXhBa'M^Km6%`}OSp(uHx)n8d}oo^D'x JBS}` 8F>69U5d׬^7X!rڞW Ni?1po#L)$;Y Ю9:XJI̲=lo5&P ܃zsdxMѺw1\QH30+XI^i辒Wq=ޒѺ]щ7۔3]N$io(KJ|;y'7[Fی)[(!֏Yԛ$V \7ՋJg&8}/n&ri(U񉣕fxQle- PAi] W0J 0q&N~=7rsN̺ӂX)"^qڑfʂ! .g"5w}saYM j,< \!MR ra/b40 y&|thbsx DJRuJ7HZ=FYy='F4XBm!%vJPS&ֈ_;=/qٴK_ %~Y]dz+wPt*|eoL 4yːGl>_ gN ,3fw'F}GL&#fzG1Vi8_=@FrEĒά#g!!lsW yv~$&vU,,ּ^Ȓ^<eFh:n3-M{j ċ$9,KASB0gyQylƺ qt=4r" %Ow7,=萔U7? O%ۿTp3m,?Sg7{ y;H  @wty Ga_whjmڇ:3j~nvL cQge@3~SL7gb;8tJŭgzRGǞ^>P||Lkonj~"l\ aaORfOND\Gc}-?pPhssY+J(16i@IDATGB]ky IY;U?1e&\xM3:갚\m\pP̊zβrx<gΰ%:VWy4܊~+MlulX_[g?|rxRu QF64&7hwsջ5KQUP\^r$U]{^Wfk#W{T.S x~p9/aÁ'O?^}Dž~dԄc` +䕺'<|Wogf L-+}C6U\_T}BB>F@)M:-{R+Y3ٮ+Fq{4qBi YYVnw9`JfbJ)a:\8Y΄@g en6jmt=wr罷);66O晋%][b)aJA%llp%׹NT{8K#W^ɂy&{9U_=>O= |#C=ױk.468Oh2#҈'͕9۸3KD%ϬCC4Cyu\'P Jh$rO~ؚT{=f1%s$STcJ99ERoj|o[ѳ#pwW(RK T|[,Lel}F:J;{ĬYR_ 7;;۝:@2Be.Z3>V(SOp>I› =S 0'ک76r5tn-xГ~6 #8kɌ'Sm>Bx9z^Q\$: Gvmv64v/Mk&<1::|x/gQq\3±5zc%v$O·': );x~0` Sxd?AƣmӵS抯7 Sp,WIebJ{xor.3>Ja{w]w?Kqڼ<ģB/Nsj_04o D }0|Ϋ<1$==c$ՅZKc=J塔%O9b ,Rc?F@' zgq'޳;~tc`P #%i_ݱx&;?ScfKoBP|Ĝq!6FBK;cb9mFiS?~2n^ |Z,j񦍄tJ:`A~aPy"^@/ڤov=N,N̄[k}A9!m@X{Θ* g\ =:3%q۱ܷ~Q/ qPPTi?LT.cYWrI<<3KbJ)hS(KE"|ẽ ĉ} !;`LI?<w1ı}~`~hAaณx¦)KPWBw^sɲ{=k>zCk$}Ów-qg8LOӞw>:~[Gr?-|pJ`~<`(a ?Xpq/g81y#"fK}ybѿ5Axpa*>PXOuތ06X0VN bLJ,*YgPt1G( @ۯaC\ypV99Il(\K'1=FS^$/)d]>t\՜[_zw]X {OH-?|*8Xa$g}jc OÓpc d<1L()}[BI ok#5ѩ7J؍'ҩ/WZQ?v2oxXJ7g0ŭx0c0@kEӫyrJ[+Nm^YD\*-cuA}d^`^ïεog?iow{Ͽ-X*(MhVX&+{ǚz~\7BmcN㞕-CY]βtj$@zL&>E'撐΅Q5#RrLއvk/ QOkGy_lZGh̲9k3{N@Au#|g͙T >q aT ^։ )!:yUֲ9 `P!GXA()\7maU-<_i^w"g0]KtB 79`;ej^B/lNgk/D5nL+$P&(%|T,.XxEh4Mke0V S5;'%BW% ^e$u~DN0,ܧBp`6pջ[2~~\a2OrѳeY:?j'G0}ljAG&-y!)~1K8T,I_L1QV4\?(cgkS-t="?3m}lk lYK`2r(_=o-x OJ W.Z/hmxJM^h(/O|4-ʤڳ͕>J csl W%gEܰ Oi=<¯[xІ@Z|4Wcعz/SיHlㆯvxS?g{c#"|iMu ֓kMQʘpZ'm~ ݚ`oK7/xk/";bsB0ݙnmBL(3oxm|g; &#QAKukë 69!BE@'1?9PڐSB%E<^?w'M޽{5#:Yѿ.[>]n9}oRS5dOJ{?tJJj)փu0 [H:Vvl6d[^d]6[ӟ}YYnfz#9.h.6Y9R8WV?OWoWwzpF݃JދXWr{q̍T2XٗȞ%/s^"7a,yyr3Gp=Q}2{8^;xD`pg;wݮS' Vv9~Wexk%`lGEP:eB09!F';G ,˜ @ {xoѭou¹7s!3gcmg!??jmR~=bn|7X.LsǞ\s%[~pphhp>%0Yi':w,OZu!Bz\rB+} <+MhEH-m<up$ D ^R.<{N'ưh)ifNFE K^Ԭ=XC^{sANB/{pto5qŋy>]o`'{G~W?tꫯ.MJ,U2crFo{1a“[e~ag` GW%nǯ_uɿvԵ 0gS0l>˾Hl远Q;{ɷ)?|;~߭'8(sW6Gi<к=}!P:6k8Dp!R܎[qVI~K;Dհ6;1{wnmk>cyPSy\q')* qZ< 9u mآqePb=uEFCT az$b/@]?IGk)hB$9"3pҰ5-6s#R=lb;!`/(GVcR$oI\,:&GZ7;JhQMgsPlAqM;aŴQƲ7e X 6b+Yӯ>m!9X 81O^aLko us)8ȉ [o_\ȷl\C1}h! 4b&L%U2de0CЖ?i y!{>$|Ax!4i0}!CQzОstP_[ W^aBE{ GHS G |ip{!/p|Z/IMxWKN@pKO \ dy`E56w#GzAFRhH3l*ͭq/x9cDg!3Ϯey u$l9g4~E?rX9^cB'uo߹n<67.wvA,f]Μzy-xJSK4ܲ_ uvox+^à}O^=޽XhJy09#~(îŋCٵqLJ$K|JZ6+x%ؕI%~tÌ^'Y G t,^.c/׸@SObH)<]dv D},V/ʪadDF!frq^t=xV7ډi=12v.+[0w P>C}Ih*kmjRƂ݁C[mZ%%Z(Di]%BLfhcMy!*. !qw4bB &Lab"Č(  `[Fz 3h2{BJ%^ z&LZ׫=]o 3 6bWɠ'>t%Zʥ3'y9:%PGsGxC(7d0RpiPEmFNbpq]OޙI<=Jr|: Q@J1~莲-i4Ֆ]͂b:aB( wnf 'YŒ:Y_иO>}?fXα$Mo<_O+e=7=$f.O d`OU1AIU.r,j]RnyF3<|CX[o}pf*`k) ޾l-pf,h>nln oѥ XNk3ؚ'A/vkh}q C,7>ucѶ {Eo7hOhrxԍn3z݉'$۳,yn7~m! Q\j[Δvk+f0U`#9Յ nx$9uK n!](r[򍜿q=ȋK=l{ ,{ E@LpKU^;r3G eAmx?hd΋ }-Pi\?G avyWٗV;W>ty%#bkMߦ<bO3~puNkdScQ/_P(<xHyΚ|]}bQo{}vo~>\ſ3 3 5Z'gv0}IZɽ)"'Ԓ5l 1;&` {OB`BfcC% Jҟ긚;fIe5N/ dOk2s6a4ғHSRZc{0 $d*%Z\GL]cp#&ŸztFbĺ7JQCBR^*髰Eh叙@VZ/4\?M,Q0!9yi9?1 B!~*S:d-i1)9 KUFCQ 2QhS׸;9z]Cّ5P~P߃75 M`Xᑅ4/se6|9D!<]V 9zncP8˒rp9^M9uLU yBpqxJ}/ A)`+4ݮO1 w)+mP%2Fj=gCA|y˂BL(eGޡJJ냧 =+9桠Ϛm.{e"ox:O[E? [sԞflY6kVQ>|Dz^m-k`ko󾎥FI9H˛"x`>H..7Q᫒씽z0@X´=3)'7I/ {;Mf/{cΚ,˲p!9.ꢨ6h`&d&$<} 3dzA((5M)*Ȍ}vNFz{g5O{ kE"ڕXv'}GAA1F4q8 y4%1I0t{=/9n©}F&bXk$oFVi\B=5EQ4 g!/2Z;op9}⽉<Gӛi8S<aod׶!EIcX/^ XkFo]Ëzbe0wNQw fhovsUm^쵔c h S5cF0EuD??H\z8["FR1njރyaG/{C(h3rlT pHGwSc>0gl_bjF/ؚE9d ^E" E@;>9/of|}˛oY~'@ǃ7??Ak32"V*@IEh.ŌPEݓSH!tiJ=@Hwfd$ I K!) N$7"O?,ePꠉo'ABwT GuoVi!5*"߂}/q }/jk Aw@sfS"0tׯ)ǘ0NadȖ?$|k߱ͳv#@>t9s~0Ykٻ|їKw^Dn!WBq]ZC0 6* W8J Bic-\e]O)/ D40)"E@ )"Acn !4dF+#odi'|[ 3C. o(n'(W&c0 WфÑ(!U||균ѣwyT7D n=cRIY?y VOm{(^\eO^`rhHFGe݋9ze0o=MDZbKT < 9M,z0'e`P cf;Mnq1XN 0= R6G{TPưn u2bRc|tFOƛp5N޷ <K&4Z3UEu(/X͹w2{qțX&0ot 0q~%l)nj myBN#nkEp3RI0cSaxgJy Q8}C%'DԨH\C~C ̞%W'U2Z dX!x[93}%ljɛy5~oh6f|`̰(is8u}F7 s ^ơ5c;4:2pN/вt<2Mc>1ݙiZ^W6c>ƙJ^r}/g5Z >vw AO;<~¿^Rd#ozUz3 N`Rtjk5$jDRJJMH^㽭 -AsM:#n*]Yɾo~c' 5vuF 0><ш(J 22'+84hŸ{,εw;|z2]/WOT9+ lgzAUzE* |\ςI[-'?zk(|hj4ryI!x&מqޅxHp_~BR@da,2M(GY"g}/| !g2K?`^$QU`AC[DFs:WaIq@"';Q鸟`4]ڸnf 2ݩz&0;?DM {#XEhe @!GSڽ^ x08+uWXű眤= ~< "/gqc+4׽,-4^e+!p=K8d23J>Ɇ[!3a ;byuR~ϜHnj|!K<]Ԍ䙌hZ+J%&zP$hR)4Wr1`\Q a#aY:>i-)c g NFI O#saؓJ!ي8n7+Ob1 fqy~;cy\wwV6JBoģ&-&IBZyON[3>kY4.+=0AI4Χ8+Z ~'&Il8ϣу5 7׈xaRx9C^EmOy-yЍ?`.јþc30 48;q(O!|xkx18u |cHzߚ{/Nh$م/{@p-s#X>FڥnK{6tk >G(SmuIx{BY"ew}ѱNޯc1ѾLÕRJFB3_ q=Z`!4Q#gHIeMhvD}ERuVfI'ӗyVwݘmr=} (078㒹@󺥒mG&uSsfhT?yzW8uoisO>Y??Gp+{(]#k" %k9@ 暣T9o^]?|A*;9`8NJ'AOSw3놔nFJ޻||ytrw;mcH ꛑ0t*arHQlM@\ ABIH82*c Rd%L?[P,?";-Qc& / <ʒґS"..nb9' /Q7_R!TO*V(Lk"#D XUs!1y7_9z(klz׋ JCI c03k@ⷧxsy9 j㎨==OA\*cTkW_~)"-qu tSz-D{=kbOl  bΪ-m qRD b6eXoU~!aO"ȒCz[ZBb1v~1Gm ̀ঌz ?srְ4ƹƋha̮yB"3<3^s369զ}I^Of0[ᕄǙCpPt2.x;/CEF$a1EyzQ\/\k?-N [u {L8j:"sVv*w)u6/G&Z(4RgRFM]0kr4_tI+Dk-##ҍ"<FN6$.R ƥx^p@\uKHdXb_)@{)cXʧ5n_3H[# fx;H kA׹E&Bi!UaN)W07E<$dyԌ;|k&V٢Vebuo>c54af<ǀF+#goB3\.1.<#~"qBZQ?d( [iuVq#򪎉g ͊D'l𿶟sB'OE"L?h<-64v9̶`I aG2\^Lk@MPE߭8os^ˤq#Rlk̞Z8;vax˽wV>7=բ= ;}I6=o"+0h(n_ַ$Xlvźku1lv V:*-OD<+ؿ^q\bZU>2iZaE202s^-fnMSS8`XMhioϡ! #Rq< `:>j}lxb%W=j͍[6zbxƐ}=Ox=n:L9mȄhCϠ]D]a[WPpL P`usqb#t1]79QgMjy H71T3 sA<*瞥<9D䉼 v'<˻)E?]-4[V0K@G<%Q7E{B!qrEjY~N/*8y4#z8W y1pE%EGxl5 U>z0V7&,Q<. 2({ #]ʐdp j({GA9t`w Hq5WQXDɫI99>Sg|_u-qAbؚ\'5HG[XQ9do_b;>-Au\yóp%cȌ\ЫډO40Fҙv9VxQEg]Dn0G-o;u |9O(|[KӟiN8j2& TPJm _j%[h "Fkܣ xt}@6[{*̡1EEtM!j;ȊftNs1pf*ifyA2e;B?e^mϿ*bUyvd4YӁs ]Gth!d&=:T&'iޡξxϳx~C#b ƥTN#)X `'d)jQ c׾S6xr嫝,\>%bj,0 ⇮B] Ƅ>s1N)ioE\ ӄu0fnABOG_)"t3Gܦ~G)Fo xQL&zY懱zuL|N@IDAT5.tK$GϬfp6FjhLJ=Ω uJvWe7ht\YHu t |$2 QaSn>kR]ouQqOrBHv1*QBߌjb;)$zA0P3j#] ՞* " póQ4Y,'|ֳ-ՠ3i#wYV #4Du#K爈IM~k"t='_ӚN~?*a `3t wYD=8ᤇ[tgnϏ0ґ5ZCc<јWz>\^{֞1w[ism|^|E!{g^}b-7_{% ͷ%d)JDЦ @ɵeQ40 *9EA^_0]߳.NLujuN5~&쑐tb>J%f(cmD%&3AɶZO i&P@֙3$ZWBwAMLJK+RRZSw+Ho~-V[CnQcȫ͖Gi)So>MzC<ۚ ;ףgg26qc7ykKՎ8Cp x屛PBUj@('EuKܱv!(ӍC= uފ6MUM7(0u 7m‹Qh~gH%<܍Ww`$ 9c{Īڼ*w:j-r4?DQ1 h}J7;.=k=,E6a)I<}Q`@[FH{uȜ(K=U:"lYhu&ܡB:A1:H0U+{[j BR}մ\cVy3xdx-a4OܽJœ`TQ"P󋊐 SRC荾OF±y2KG=ǤDE4̠O2~ї ]x~(iMx .d(Jgq`^No%zSDJo~[u{ܱp^H[ʯ92&̫U(6N^tEzW+t=J 遃v%6p6WƭN7>l^?< _fdɓG_%??\֍R5^O .=X8HhUqfB7{AVIIOsbr(>  rĘ"~={%d|Zk  _w.mө:_CvŒZviσQOMEK{ۅ۞>im/ൗD&LU8uuyr_>sl ow%zϲkb)T%\n^XFFR8[ԄŤ6nlO;\zp$(~sJثkPsIT}dz(C$z; jmԯ8cD8S'Opml͘Y%Nf{r A&A-bdCxʓ30gXHx M@O`BcaRp=>޵ |G8 Ԃn`Ƹ _ CCx9|m[}fGDHo To6p7m3cJz ŜIu5;!c8*]Uo&>ʀbhҸ=]F;4nC=!7> L /|sx(xt}D lJ"E{5yuvlANj$E:8|ܘa(,KIY] 4yd 4 ۓLNth5ʟ5YAk*~ 2vҪZ̦Ui1 *a)y zn@'m#E6d~I3Ҁ8]uv94/F?q h|CGpo׷!XD' F|hI EnǰjƏ׍k8VqI`0lgO^7./Tѣ}ᷗ_rhƝ75?3D*B,\lQwӏU{)!<g];MC+B@8@g8qH:l[Un(mn|Fы>a_U zތx:1|D"V-d0x OaIS42AfU@uBg UDI(MHQ"rfJL7A g~q+f\PQijQ*pŃ'5VRѯ'n9{O<n{)*3hrr{\RfPV-U[as/>P6C-ƜW#wGFh-`rK!ZJ"OV(Lﲿ1ԇdcH[ڠK 3xP ]O8ϫ`a#8a2t5L Zd9P8h3녖<1ł}q>Ys_^*iVJA΢,/ah* E+`VsRNݺru[ S=]#۶>WbNqaB;'bm 'B]P`$7i1uhGƀC.DǙ$,C⸰T»o=X7^H/f,O3t沥usL:30 h+|yem84/(=  <͑ʝ"B$_˔4 AQ}7BȻPT." 5w^VֻmՃ3p{P߷^qRE>ښSHIeXFˇmۼy]ʼn^9 y#ͫVܩ,jBo,S4]jsBP4N:ZF X|j99D}R&`0?F]54fpw= yNʥϐu5x(C3Wo'6O9)r>W.R mBaaz5vs~흎= `kYNlm¯Sxu/F^fwh#m벆<\I/4 c`}kmQE~_2'S[ɫ㏣"~#Ob_s#zV^\Xs`To(B8;2’tEs7+sZ.eӍE.v EV8ȟHٿni6JS">oEKW\{_˺O qh734sJ.stZ9?7ǟwۜ[ë9PϜ \#C@t"ko &ޠնƜd6h4!xg_^/2Һ\ӞE>4_zc?rk_Ak pKf = бEuL<`+SS aDHϞ>r:Z#P2õMBF4+볷}p}Ѣ,AZsdnQ,~Bm* yNS*  N Gn<%lcx1/wD1EE}Fo/@"xN\6rJa]ts1+UУ WD$g4wbUٿr}1v;?uYpmjU? ua~u ,Z%[|JNKޮ{VjH!Y8L F4{Y}O.'Yk3l=@4T/֐w7b >c.O2HmjOJq5ܧC#EQ%)ִ&%Y߶(^@ӯEaNڭPFou^nnZVZYbmy"L~q*>,Si>G1tC >>iQ I^) )NM- &i|'PTty*^y4?_3t#*ASj-ѝ?3lۄWsZoxAEqD/z5, VSTGbh9$gl#Sުj(E)ߍVguӁv7?i["9 a `=(]6Fc8pLP֊ C]g2?ƢGD/=12<1^1kwϑf"H}MxD2<ICa*CWC@|gx wNFpةe(%؜c}<8keZ1# ^'a\PVDz( KxpP{V<3 Y{߈>%f8lS*l{̥E&yLĒ _ŕX¿zrQ Q`ȫe:x=SzYky V0g-2d (}^SK]Kk+˝>+|.8D XkM'1Gݬ"wy7Xe5%1 oͥD޽j>R%t}=Fe“ (@( 4 YQ_Q rENDNx)dL?XF.pn}Oqp׮ z Eie4bI [ݬG |eg!S =Qm  7QQ B#JejO$yrjy׭9 kVp[i5GI%gdfI5F3!9i|"p!6'dБzdtI( ֳи;k'*1N(fl|\ۂK_8qzלz_"("m~9h0Pî }9aavGN)׌LᰈcdN!^ϚFcTRXpD`p`߈!ZHO5MlIIC7x1ZP.zjlaهnځk_&#;,iHQ7 ~tt yLm 9MD 9 jD26APe##rժ!#~{?=ȈHr>]Ko]4Ġq%EYOmS!$վu:˃>ÿ{goܬ$8 ;B(:}(6,I$bF=4@X]6LB@cO#~7!V3b) -28jªW.e-/帟=j;lmfku#9XZ²՗ZX@S @t-.m}%d_h \? HCNj&(,Bk_.G۳-$ ~I擗<ۜNCTksC&>WG T3@h:6oPp=v2vzf} imef= R=̻kC_, :pBh͛:7[gp+͊"({g<8o)rw )׃۶mǓ06e \F21ש﹤5Ab:)`^$\bɻ?c\Ix_CO~~FD˶ S2IJ-({㫷0W_OgI1Sϐ^塒<0!0W;?t)CBl Wk]-i3Zmg >+E%3v')myǠ!fLf\D@rY%Wxh0'|;]v=L}y7_~F(hhc3nb^Gz05h#(~b"R42|24\?oS2߶R 7?= Rf4<~ƛuI;vǨfkdGၑmaeqZ^ߗw.|_A=t̻K(|wzYd9NO3{q3>ɠЮZ#uB+ܮ#зwpi{swsOV-fgy_try =2 +m+os +#pclKj߄ai.*!SXǿ Z y|),FRe1.2^$Fem ryb‚~>%t#S3d& 9 Y}jz$ ;U&T#9 11Ÿbኮ8NxgBLH}O ~cm+pvد.EqP]iێ<@*OxZ|M/ ^&Cl"-}3t uXKEBs3]x2Q@ɂ)k!ePWn5k n~V#I$e]Bp0&ݏ X'Y4*JQLƧŔUhLf}xUgb5@;o,7lC(XjkB'g%!<^vPQ)*=<'5'n׿='ySsح/a2?nu >9^#. >gvnųkj`Asy¹+~ßԇ\J\T &ZJA tQ)vO]a;&g#_D`(?xɉpsbV7+^JPQ~Xl _wħ". oϽ_\yҷ_!Mc@{2Dတm[Jx#7!JG!> :T;ST7 Sh[豼%=+!)+st0XF@?O8-N E(.[;a ,?Jf[J><]Rڋ)r¡i<'>C(K(gQYؽTCz=U6GGdӠ"!uaa4Q7: N)eJP3znBq] hF=(22 PL*|֜5 9Bt36y4Xf h`^%stY;M!<@PUb7H! Ϛl&2[kИh51кOX\GdRj @{-=xJt*z^FzT|smc0x3". (Eny? [ [_љ\%06] P_a "!"c<&{T8/ѝgY%sD,h޶<`f OjpMAu uM±pj~fiw %|`3|3@~v/|זEt#^E;jwR"\`0s&m'DW0٪X, CkzG%JY:Td+pRMd h{WoR>p{aZHVV&U4O0X]>N|Yx9&9ՔsQL:gY9!p-8e8oecyd@-CT ['0mOK*ث5"j}/FuRѬ0c<̠8 ُ5[Y^ Zu=DAr~A;D4 ('B }PPAT@Bޮn|f!QTfљ`)a>dx誩LAQIPn1yʍhKr#E[_^-Q!2ϻ}W)<9Pp;ݛ>?ex-a},Zx h%:Ђ3,m<yRLs`^Lf'(z8TNod.G >p^I`QTy뷻1PԈ%SyƟuCy΋{EiZ׮X^ގjS a;W0wpZ9Tヌ / FV-z>y z^x~n[s奢xC0Cv[ l\K}2fZ8uo,:1QiC`CЯѬmFxT&ЊWh޶M4 ~,LjjlmV+ !|=?;hp XE7Ec+oۖ/I5G]#Vp@i&(2Q/<5Þ(Fp %=[u~ޚ==%tMY3]CyC9fu>l;r<%+GEoo.??]T{uM>#_fb=,y+C9O޾Ձtj5'{&5FhMs24YXĂ|uhɝtMc'g{kE3C>+şfk&)'Վ[|v-j*F=}_Tw23s(> F'X 8Z>\/˷:ueyY9 yĨJN9ڋXU.l uG+p;+~V.ub9|RobȁhP@1RL1C#$[]4]?J0?ЁppzE瀗e NX Q9 ޹2VFW$ݳd120M%E ~j{9![S8O;tF|m>rߺ9:*>{V(CBna*빾 -DH.h6ARxP =&vBĔӍsr'lDf_~7EHZIGfB.@9 Q0˫uFc if/_uE 3Aӽj6NCִQu@4UVSXiݷ< fZ3V.Xn:lnx n<2V gҍtz,8d|#&T [gF;/4B fB[Qׄ[1zQ42ۺ^)GSP憌s~;ÊlO![Nj[-n/!1R(ge'LYHW*|.Ǹ!wLJx!#y2ѿ0}rC|/ bs-93k t) Y#J6'qj fVFǼ&ߒYdpXw+:3M?#JU=x}1n^+ZY:^'^^]Γ;Ɠ"cZmdLiyMT(GPGI}I%ǃUX;.έK 4HvvDClS/w;~rd#~$D\cTʈy?5v<?ۯɽϭ,m,_FC n܈祿E~GҌdjf/FBRZө 6xш(UG $ZA>>bDogSRƔ:X3^C'+ęns [ lRBihٵ,1[y"v  ؊021Q հĄT@Y= ?W8!)/B Eusk +a}pyvc-ʻ~u 4lQ zV/l֗ubܷG[8j̑Ob`:Oט ,n,w'G6aD.E6XgD׳mBw uLR=;km3/ow@ zRV,篲Kju3/#U 7'g̃Ep0 wb6 :^D#y\RbFCCrp$IwjX7"f{!p )#mU WZFx)9Ϣ"\>m5R(hM>.m=*߉y;o)ʷN8,-_}/_##u2{CΣ[ nc0^Q[_a} D_߮m|)8w(lQ m3G|c˭S<׭B8W^ D ~ףiV>?e.OIn#!T?i~I)Kgl&G*ZV̳y}ObpǐjQ'5L#-LH3 {xCqaAG]$L ֙|joUu=m5Qkp&xKy<2[[Љ48J1a&x=]"o-D7+9 fSݳ ,vs1neUClü7gƓܹH!gS㐱s|gy{lyiGkL`݄ȝ7o,_~y]5S.cRH 16Nx'$d)hG4H Ta n5+"Z.tWQWY4K({)Z Lw,pyg2םEfWL5a>4'iWEG8ll9!A.)Oؖ&G!)[?]b1yR"? z3pNWQ=ro_-DxM|p xLr;_^DmSo3]ܢe2mv<49HFGL@)+zW?`Asv_A3;FaFW %E極nGEܮ] zYё"UlRs'G͙خy=A.\z5gdb=[7`}"@IDATۻg68p(֓Fdv'kmzVr/=^dgzwliXPŹ2?ty5ONFhӃh2ыcLŏ !5Uk ?e >8f'k>q\=\E]6iCs"w߼5[> w"w|_r9.M'g7~IIنo}k-foE{[ެxJM嬔 !– UHo:}#Dd!DOi؅ݙӕ"O?ˣ۹^AZD!g<[4Zony{yUqaRM~y 7{DUa,nاU=ڒ1E[3bҾp#W鳝A:яN)4@s*`APd*Өyll,?vS) D!ExUoEJZd TO!G `&BKs仾~J ~M ܾy#ųAx>?Ef/J~_YI,;`!<ܣ]t=,&{NbH iZCky6} C#ELE 'ӓ"0h0HxBg۾qk;^xY1uXdD0ۍq5~`uRюyzE?x=XoKhܩ ^ׇmsnSD͉U +vI4PPgJ4lWJUb GWtCA~] ޯtBXnR0}4a% `O@B‡#x \j"pbNB~~v_X&6(Ш s]#9❮Q&^Nē) HkjB It?n2^Ak#G0DVjFҘUMCGOX܇F].E{DdfǧΖnO_ux7lvpW_ߟTv==O^)%?X_ /4 "yqx~ty+M1z\@z5FjvЌޗ3VౚbzvB1~`Jsaؒcyp:UTG@y|ihrTm=pN:19Ѐwj32wݤJk1axBF߄,ǰΥa() [Fk8Y>҄-*(oNrChiࡑFх!LԢFqVpjD!LX=a>״LEQ9{_MV֜-χC"0ː&rW䓩H;WVTKӼS?Fq N߷-j-4psk*bx1#MȾaU󶈓,SfYsZV)ݞ̓["=EO3E_xn`K}j<ō}uF(5""{[47D$f.gtt{s"t8B)s6îKR!zy/[ Oh&Nd²铅^is#L_ͽRAQ7(f54xhL{Vs pEy+hE8gޥ0gNRRj&OcيCF8Aފ\"3@3!wD>dȮѭhhnP#Ity, VCkF[e낟R~Mº3u5|ߩA[7*MOjr yxL1]<{+hv y5.-}Ȳgx/YS,r_q*7C+/qo힧ҫd]#5fMfRsZ(m{8D'F#cM XϸagZc*ޝ2js ebŠmC]vt6Rs݋w(,;OK ݮWaX°۳E`@HB ec|* t >I愈i.g&Bu.nL/Jq'^_E_{NnP~'5R.΄ f$[aTْ}0V.1sǛS+$b8Xg(^e3fl]R5*{+k$!hXZ6eakSVmN4Fa.AFq욘HH'(J /x^NCw+MQ"WQ;j o^ AzR; J> a[X(wA^+":=xgQ2'S/к{'Gbvt}6LC͠}dO%PE[3g2Q /^uKUf[[vTPoo0j;ip.rj*%&1WA":#CNOD(:'/<e:4>3sVm64 Mjß1^r;0Z&ͨ6Ǥ2h84Sbȹ}RYG"olv*߸ͳW-~}XjɲpP7/ t8yivPZA.GU.cr-&O - AlȺ g"zl_y䊅8v3h&0\̼6s)Yܬ&a\,^EUL ROZscδ.@'<{Xypk_rC˅3jCѪSXn/g[7h` ?'BkdZ*>n >-MhmWMe>cJ4]"*!tO2T&C`KzZ0I{lYHED$~x"cϰ5;%w+WL"Ϣ_[g.Y._`}8l 3>81#Aŧ_9|i0c~/wVĹws=/Ю_'Ҭ+~rþ5ۨʼnSw/JAr uKv&qHɼȻٹќ{=W;,ӽ%̡A%{K(s]l/Pb4 !޲Zo$OXF%ex֐KBD"2k'BIoEuug-&NUf80;.<CڟgȾYg.~ k/p>W9˲lj<8͎I/ ÞSyiS(Xn:D9t|!I-1oF7P T[X3!=kAўPx)I'E#\]o {- q+cB 4#!C#|`df٨IɸI rf4Z{}*VjleAY nㆇّXHE_փǨO^f} tߍRL֮ӿ.{ 'Dș{}eU)jڧ8a1FpAۺ ~r!}$L)Zȍ65eiW)&Zzwdڹ1}9# f-(Fq %{=pw:==?'I~)Z{'z opkk\ >I˕vPq eU3 59˟{% slŀ WdZv6EW@1Tr0Q={Ɲy}?uw9F*l;f q,[]sO _#۲!$>Ze\צ+[j[ft͍egceV'2T=_0kgFkS41_%"VۛjB{O =ݳ,%g8B ^(XhG(ToES1%;8#3_V=:bZA8Dʦvߢ5g!@ϑ$4I$ kEFFO[a0PlTNpxFVx!֝*(3K c8s!fSk~ڠ<"ג*68EY 6:C^ctn+ay&E2.Ɖã1[Z|/CUK2P'$` 캍/ĵ5T O'<~gl^/ }֪ inZL~B40j|"d PFn?8fʑ x3!y)5Q=Vmk /" qUnFO>bJTpyzַ\ru^W{ٛggk_ oQd%$~'ꤿ?xI߸qctvNݔZgjNawOd6ާ^RP8Gݽ"4*dd2 9)' \D%/IvKOWa1~y0ˋgP#%#fLdɄEI"^!gWS3ExGvj=2t# R gdLm77@V9\E˜"RN1^̷`0pS%|!~:z<{BUCp*S11#ETr~({. !™PWݎ'G*5sȨ`(d%˶͓ beAΓL;GLn% %׷RsG5`(Q ?:SZ ,"9`gnR}rD}ы93?0dzG@On8v{Nߢ 'N/ ԗ<j9i4NFJ1_:&@dƄ`{v5D<0ri>r(u4SG:mxgvcgLmpU14'C[4Bb4Ɖ~rTC]_ZwWJߎvfW Ē p6OS`ݞX,2i(q tI;Q,ټI ~pyg 2xqRFR˫/їVѧk0]4a{w=2Vnj^ F[mQ9cŽ`⣨0geL߯eu{*yvlxJ#FqOJtDeڣ%2` & gRghҞ y鳌ݭ+yo</qDWNݽJd[ԕRUlҟȹP%w:o ` ?//y*EeǯVk6/-Rfӎj+t34fo?/]ix3@'r%IJ<}7W_zKRґG2w&&3i^SMhBNN` "8$2;mӟ o$0uw7rKÜ8Zdv۾м}BB̔Tb~+"BS$"CPnXAp% %OtFCaJ83عq4ORfq4Ǜ_vX'&(7ljtEc8L!Ve0@iK )tڳ<Khm ;OfxyW^R,hQXg12$:'m;xtؙ;V^#\º]QrBgB𵰿;CQeަKhcCqgxshL?)҃#1X}qJ_۾īh j޺nc 9joop2pp#26Fu Ms]w:-Zjޜ/c w/*\$VzFKS]~Ā |򱃹W^|nWG)dG2j($qL~'I7ϒja@'^bWh4Oz Lu`9$`<;?]S)&d /,/-lH<ȉXg[>ڏ-7^_n^xOߪ}y$.N*R;2+>Yh\|v.x|QۇK&gVGP[;.}_Tߍpa ևt@e$|ҝ \3ǟh [^r}/>JHdْ\GAI{SxW#^8޳F{ׄpyP/Lrzj2}8F8ut$Ag%"RNeE ?! JDU= `x)2plīzJ&',pvd$1Ұ(F4qj;;2LpBp*ðr(K@qfJ3<«z0Bv=c5[<@bxaˈ8q%mk[3cxՈD'!(v&Q$DRa>Pc C ^G0`KuH ؔ̔څp7k ]EBp&2js'~?X#?M=0cw2ЇpJ?)*x"E4ad 2F+ރSTJ6e8RZDk- <g13BЋ|Iꢰ=Z7oeL!!+y=}rm)†S1Ƅ{V(y֤֦ܺ{0q,t'F/ư_C Opz?Qz:dQk8]FIg~mqOPYV\a@]c^䌙p7Mԡ{.dRxk=;M[\lh׽,‰PၮTq+>9,U8x6nϫ/P8q(tP0_{}O6*[ixћ%WZ;*}`NL/4s:r}㜶js[asF{'S 񐏌TyT׶9 }z>|m<=V]?˵ʡ_m_ Kח;o_}gZNwG_4Ƹ"'s,E`ȵep7PH( |Q d&W\͐?w_-o.=Ȗ5yc)N^E<<}ᒰ3P{e[ɶ5';퍗I CWb+Cxʀf;W" GN# PfIPfYѻ).Bjb!E^rY'Bz+PUQ:BĊ ilzSm 08{ Mzk2PG#b Br2eJD!5"Fn|9HL/2e/ioU|mTƀ+M82yso^?d%cyzD5ɒD%MV'VDJg:SFN{խKıMG"xeY:=Ϡ3f?e8ecyojqj$Ho)<PB<&HE8Wrg5GH[p,yBrID='cp&8mka>v]QF%4Bsf)RF|21Z_R3/;..Ͼ5/q#/Ӂ*|!OaJ o-8/QV=s야Ff0e9޴ iN|_hcS:0%JPgi' 6p90?2[ L.c[C:E"9;_"Jim$ Q(C΍d)#2#wذC~O6e [ +DB\h6YnE=Xϛ_%ڲ+M3!pX-m["H;05ڭ/$At挒I6OF=3&RDv fg(ZCY*p^e:@tpʸvZNgJ@g0P&jI?`Zsf{aϨA:n|>1pQvZ%lh[&Hpvd5JBdsF0x;D iȜxzJ&jLhwӾY yͅw} ^&l}x)pSE2~6x /86AMGkh|Ul7lR #|b[k/l[l]hjv Qk_h+ԄJ7=9Pn=U}g7Q{|y53g(>9;NvD%}okR# ]zY[µqr-8Qx~hFrg aЍ}a2n(20nhz`4VuFF尨H^pZ$Fo8};*9 ?WH./?*Z?(,fٜ%_dhɢΰU,@$pB I OYCLo|fJ]xT7anddDjgĺݘRc"TXxG%1͞Qɰqk(+Dj FJq;"g]z0l_e#mlv(Z~m[Ɇ>rsvGgEg[-U>̿[_Z\ L^]X|k&zT=2tzm`%]S3|6_|3'W͟'߲Lo|ͼޝEoP1q&=%Dr/ -R0ᦌcڹ[hV0H*mVJF[)mB@sDIs`O=* TR dxavk_7N1x:qSJ!5Z}f {[){rINivu#B:GHb{ĤXe^mnPw-[#io qw@ |CLjACݕZɣ)8hhZקTm6Ē2Л3 !0EYD5GQ. YsV\$S < =ȳx `fo,c%lnt͟y=Atk^foq];0xQ}}sM27F x y#16e8;8$.g(Ш9yVe$~2vrshD}. F+˱ӯ|m?^Zlg~hvdB(!/ȣjT,vgX#/̼5&.) ׎2C/krQ3)_|my1/^]+_]II6 Gw [Lsd$yLwXW;%Zy/WfX.9S3 l:ΤREQ)wjUuzAA[̬4R"h-r><{ tK?r֟|cZ}[ΩB2! c,8[=# B$<0xe a~[7xtF'mW"Y2|5&Ҁ'EXS .9@)1#$e 'E(/A1qCN q뾖 dF '-[7VHW[P)'eo{eM9!tN)s 5}_BTEFS]镶t'@gS|ޭ]X%Uȋqq1%|p> ݴAy05:i# i&nG8ԟ/7%!=b3Pg#x;?[G׵1QEy$MbZ/>I.S~KU@80>ƌ扐mHlr^錿1}<:O><76ĺ? 2Rt?ݏ%3 WI&k}U nɴ^#KsQ!Ҹl}dM@IDAT̐bE}_E0 ? 90|^oߗ˿?X?w_|;#s-hxx.ۓU*CEaI>Mq.V]gG!E@gu !_JNK)(5`{揗{dƿ9 ̢50 /՛d 't,,d/y#J07[%&-3$pw + HntQ"0vrזO%`촬Lx8 m=?,3x߂gsz,}aѶ>\b/q־(>p2]pyީ++3_x-}EaR)<ڿ2%+> ,)p4GmHqP-cMf~@71TlW0!%mo^sD##Zk0Q@H :H`&VwMHLԀ0u05 C͊EXjz]48ºqGyB] ѝo%"m, ?&24M77#-;z?kդ^T< $eIJ|P7+%AcMv4 CI<ڋp *"P-+0յM />Ryа6lBlxQqx4ڇfnjuye\I(=x&R րWCc4زa9JvV@P"<&= (d`| ٳWiR8 tWP@QMH0fnO~џd)^As͋d)-n5kT+ KZ鷦/d?qc!<Ế_X$fDɟY)ZxIw\]﫯X}84trЖglSs g݇KjkDr(Z+<@ 2pU`h.jjp/.&AX?tc Lk(UpJaJhs"E u"!x}\>0F3@ ɓyuy1}'f\'൩2Hk^^;rz\{` n>Mfg@tLN:xGFx^9 <8O$4yLH+1ʼ!cԜjcu}Lm h\lkg7\xgNo.~nr7gi[ޗ±"w&",^DGcѵ>鸙IXa$p`K*O>]%[~'d$?(;sRvw -ڤH5ByLW\e<:{tZf~4'S؛BO0m4#Up`!"Eq'^p~Bv}iQ_7܊P.B (ë!9I; 1a1fЫ"(?R"_=ߵ>FS] a6#T7)ޫNHTuIH:~3QrkfrC6YO|^%!>MrA XxDh] }l#3DcKN&^N/CK_å%&=7ع#@nD'Y6yv)ID7Z誈m9~gzf73j|莟&B 3 搡/Qpash'揶sD%Dr*wn/^(x2xGF #cJ!ya*KXu"MR/7xpLd Q}JCИ-sX%2l2 cz% EiumNues!~˻Wnv SePlmVx0eC7B}W #F[5 >/8MW "HOfmo _xK^# t(9Ѯyx'48)t“ND: WKq }?-tko4^<3 ZrKskHdd<}E4]B%k!ݷ_B {SPAHbo9Ŭ~ٰT!"DM 3<fh z)9}d"Rv@^}׳_A+Tߝ~R`cNEYNJl֊nnk+L#^~8%B?qkȭ{OH [v1?O4 GbYB?^*iV6d!x50/0Ɏq:h+̣%X& SFfh{~3s_BbRE'p=o o&Ļ.`0h/n$C]&'Ԁpf]^ONN< 8W7[(L`u8CͅqȔGuM#0X?{gI)>BQ% zusJdzd|%kTh5aM `͂<0 vd%d!Gz,stj0<oaǴmxBc IN1"Sp(9rb zB_xx2LC+xd'r}ʌg%eySOXTv9V;=z3Zr܄= GUbi1LŹޛtb&X2]7Yϱ$ %Sh7Bܽ%xkG(+(&к=o-r\OE5{5$JW6d^[7D(& W$~A5װ61Fv}k-m %yUSvop<ǤBYvGv0,KU|@dmDGY S\ *l+YGևb@{cH1$<5˰΋KJ{Vk]fߍEP)Ѷ<[7SK "xȸJSH n.Uܿlɋc (B?6XYpmܓ6+zmZ?2)3< b3`)wX+6) M?r@V>_ͣ©2|SE#} qWKe1 (T%D ߿Gƙg|ͬU(4rjsyzw׎hFH~ogi\o3-ӰUzv溄!촹P=/ޞ̘-oBH ?o/G_vѶ,#Glc#1z>yZ95BޓDn˃꼓nH1U׃;t\ [6:_s3Qn$sɡ PE=ω*YN,.Wdkhr,O323KiM}A(xczW>^?|c'~gc[:!:9rv(9DΞ9_} $Ûk?]^hɻK>}ZP@DUwg"*B; ޭa6/@J5&#ˆ?"p""voXX{Dyrx {g;NaKF<5ovs"?wڒ)WPPYn<"[؊8i(aX>30e M!!ALGFF (NHa7wř(Qe{tTX=z2ZݎTG Lf]N %!6.Hcu8J@t=!QT5`@ z07I^[ݳߘ>(,(k콱Q/01" 'A*Iuj&;Li23[A8hBE$za3' &<qfcP:kpz ] cp'L<2Єw3$q*XW <:Bv $ ; EfZO \ O06D j@e.9]C<%@UgB!pc;9;Rw\h\`}M}}M3,dEMIK;}O! Q? "HHl7 a)]C!LV8zi+ڭ?8X \i<=l+3 )Oj6g1hZG%R81_l}~l|A4f U$aw=Q'(fP(2<9p_B橫?*vF{3$Y)yflCUT&o^@6[tPy5;Hyc.;zh5?iyrn7 ݻsIi;38\1vXp?g 208=^AX5Q'f~ny|39]paOor壒!/vkW u"%Zm{CUY_K//|_\BE¹ljsB 2Ze=ZdΉ6wO?:S@f T,Wkgٺ` : S .6jB(c!vR`Ĕ7AYAa'i;Eoݠ ;!k'dƌ^2 H lXddP1\ K$sMݻ9qҬacY:Ms;kQ;`NW.)̋=PbH< [?+#, uGhaK/LMK{("M)GЧjYyGzPpݻVGdIQ ^\PƘ۹h):BPC,# pM)RSq *4d5ژ1tpy ٦HZe/ow;v,;vᔷ nd w><3Lr?!)A2vnwF{K@h 7;w(>h FYS0:t2Kt[1v( CS*@ =׸ cWyT?ágWg(RCS e ]p,aDӂLGw  N^;^A[~7&MA_c}'%\KÅVЛne]Ƌl}<|&,e`L%da=^1t1_j Q :GC%=V7 D%+FX)[~ O,FW%xEmA6( Qa8`=_]C#shk +rcWD&=E3> g-׽5=2Ghܒb%涜1cF_E+E8 Ӄa^uf\9jM>e$QS!xV-]-,??}=(EY}o~}~l/}S_\Z޻~mعs#qODs;xY9|rq?t?GrmK?@\,. DOk`^L # NPN:d.%PV4؈'`)f:}]ƣ dZa*\aY 7FL{SH0$}-KJ F s06x'CXD:0VaoDuu๗!MI E8t'G1c!+nb\SD'GѺϲ{^NfTTt|vH~ 6ndosx1mzH1-/ /џ*:.M 1ГY$lGY{ж7==5iR1|<)(J W'Jܹ\޹ݲ/<YE|GLmm <`s;]~cIXHwn0^Un vGtk`kX2.UzVך9̇XpB’pO Xv /˳ 3a<kuֆYZ]Y,ljyp>=5.wϔsLΝ]TsQ -Y*4Ʈ9D5(QhCƛBirO7_pro+-.tF 3 k/Vd{(وvv$ Q#n^$r/!fD 'p /&{mԘO%vffu21d?ct?e8>:jNIvbϡ+[ ]$,hL#i*[+8ve 9)#cv>*^$#Ct+@<1 fw86Mۻ*-I58j g583FEj{KhWH?N_ͽ 2^)-0Mv- Ƈ6ΐME 5h.Ј)CxeRC蕂@.ZF@ѼVO6y½ə9ΐGCN(f|ʪ̏4N)dRc$g1Ġ5sFA7wF߉'S m YtC8/x"Җ+)r8#e 5$' m '=hs 鈈-q3PgdC|ЙDKھ_DkdqSa"(Akxujc8W4x fq Ї%7YE9eOF|Z\9`S\l̓mzё> !wȅES,Fzq[A#mSҺ  E1Y?.Sb=SR6ȏ=̣dcƚ=|,i*ӳÜOMU)8*(tۍSwNUN% O8Z_.L}D7_v➼&KJ[?wm 49~I4.Wyd?WU7Ǘ"Nh,,\R>[RƗhc<ݻsr3934Odw{HSxOpƠ=ڃ9GaL4c<YyT=L-2-{Ƽ=zfHd96%{jUe -/Z^.,_Uv.nAvvCEI`Dl5.(Hu&]2 bv$h\Z<cZe1l[V+[]At u03E-l4GBZ'Z +U ll CbcTeԍ]I6$[3^k8ڵiǢ蠥%{Ë J%0 {tAaUQ Zuʻx;jYT8<<$DJImGZ|`)tJZSC׍`bP=jOPY4{=sED'#US uGqZo?c̷[9I$R13fȳ +GW3}%Ihփፂݦ.}~!]LwBUb/׿1$anT '\gaž*\CGYw'h86(?>JQ3ƾvK׌1 yXv6/@ѯ>Ƙ}yRdl YQgnoq^ܦ{V9yF*.5Ǿ'd^On\(\a;?~a $ڭ}U1:8ux[M['_/pOȌ F '33;y6O % 1$41=?Y-vHBFb]GOz2>n۫U=ߟ7E¯]V A< 'Ϯ^ty/^~/.kNUzN'^~￷+q4}Y[t  DiSjuNeȜo~73t~קDG\uWW>ϗre!ǚlG.+Qxrk,d~(Ăg90h#\!+]D(p*'jcga Ylm9'?LAГqDp/L^t|CPv!IFkA0mZdpviw=$M|!, ;׹| =trX݊9 `g?dخ4)#8)>&Ogc#ȃYn1ivJ=lMRIbl9Qd6A,lNO /qPX'BKO )Uʘq`Uj}WFr ucEp!НA7_)`s{$LrF0,pn}5 6WԐ(*: 1[hBin)[jtZ0&QIK*I|.d7FBG'W펰 헳!͈3NfMמqClCJTє6@Fn&F88_vTZ<PH[]#4-5=\}mfC1k]K)4 gd ff SnqE/P0UtnE5069BY8k,50]G%ƪyG0xcg2dtO(>t7+cax<(̰5pZjlhU1I,UˌIyA^gV>k,|xP0:}5ǟ.W+V@i$$^7P(~'\q$SQjEh6(NQF[u,\CJvX7B3NQ7~CT k>#Wuیqcxux:av׼EsRȎmklq-]GJ?ӱ=+aK_H#IIF~F98%2<t%r.}rz(ͭƿ_{7~뷗?WMSOTҮh|zA;揁|\BPT+rd>=i~Q_H˝K,/Ͼq-ˀdlXG"L0;ıS!~ @B&ezb.%gOu{ 0zB3I<$a"V,;QW v?޴58K4vFe|8d'ۥ4B7NH(B.s' MP|xxԘ~(fspڂg97I0JC"c!=k߽BVx䁉[ uauUe͂I-~FNIAMgқ@,cC4LBꛘ-nUtg3LDf;fύ%A28v[S܍ftzjĉwjm (2׸x-`3 4=_dB?;>/ml]&ʰA1j8? R2NijsG8{}؄wxF!ز!aOڨ'7T̑(^VFh>Ϝy ڱ\~8lmX#D}^:D{o'&h}ZqCt 1cx,lnVi%[xw݌IxVWŬQ O l`}ueM ٸ8~ ƍOvDҷ$(JG1 n"M1-7;ݱ,~b2rY$ & Y[Ԃ-v G/`0 lveu%RHQ8,5d1dD['C{=g׼^{o36xpx[8T@Ǎvdqv˶Znz}>Q0X*g-L124{Y||oSw}5-t@IDATfvuC8]G͸ѳh2;i; {ONsF=oƜjv`FQZm,ʾjw! 5$|ծe Y_KR{7y:#EE=K8EÙ+DD<(zPZ8x6/a<cq֗)F O"WwfQ@c[UQ`H:$ d*v;Ӣu>´a{-Qc|jgK:UO*ְ1>XITx3HCe6d9x`7b^ T\?;HxNڜ8r8 /մWa/Z:9&.Z^Jp).["QLWf`;pJ(b CTL(Ë |{3R˞ZKG=W[,m[FIxH(}=DI?~+-)l#吩g) %ͷTۧxtu i pBX`C':MxG]?MxWF6]:re5# v9Woӎgj.=Yjig I0O}j)=OcxGƮ_ݜ]AYR#%[OmVdU>vS"N/r-nh:Fcٻ3=1Ʃo5Gȯy n)b阮)^25B,Q@B'!s I헣jPJmW|;u)l+ v4ƃ~R2[Q󋇭~dH(4u7Mˎf[ _\~>5` (3WeEydAk9kc;йyĞ%Yx2*c(;\ZO[Z@iO,^ɼȰ 0VJF+s\sxc@t,G}?\;]~4Dly󍷪 ګ"[۴\L5FğM+~ d4'&wO#=[m*6kte??X>nyFY)WmH6K\3͈s_6}x*z;^Кv^+66J3 !hv8! 5s"N *))ʛ^JO"HKݦ)^ѢTjRp-/K{o T[6Ids>UGT4 58/יOۺq|l4`}8aˋTC@-RV.%s?ϟG|,1sz/*;)-1$i)l(}̯P} QEu⛘B(8<3:V\=Kp0lĨ Tt0T.pdb́0-\&R0<j<GX(z٧blKndsE ԋg2E^T;"yx@7@B͗Di1Ãu 䣚r۷3iKlWÜT8#GO1Q`bQzD(ZR51Ip|I>SVqB{yK¯\ ,TEQSH=ȡLԷ |' œ8 n"NQp됰ޣ :7>qu+lbCZM+^b'Ea s1z2t0H…$;&m8^`t1y`ante/wo׼fJ꼨4Cr H.mf*m:3]m]ߦC8h_]_l}W_㝼H 7iy ^>Kyi#D|HD7W.cW)`prk'@fk'a^4 G@ߠg;yaڣN%u?ܡE:r&kglvh?X/ݻX߭C3q5FP["~9tm}/>Zp ڟld>z$*^N]b,-rjr, .)wb`΃!%g_^& sItit`1u\´=9sTle θ^`4xQ&g#l?)_|3,r~=wQZkﾹ콇w[y~D&ۇm9?lStS'+5-}ANEyy˿<ۗ_cg7 糴qg3BtQ:^kbh`G!GO;R, m j7bGC @_Pʅ!~b8 P C&s ,~2jKA`,1*e2/xb, iQ=|pO. .YΦ:1~ @"Nb9/ D~kxz~GY 6y2C8R~ͦqWBKyHOz/eV"Tm0F{5F>S(cMY-ػ'O5:+f*:6ÓuJ,9a9'qYUkiis}sR6&=)ՉÍ);RQ'g61\" Q;nz*("Oՙ2hݜ̓;ꝽVȳ-}9dcb!EKÇ$}8)'߮3qƵ֞z^Vb]k ϾV~|Xot*tkko'/xyR(ŝ6O֕Y _go|헚+SQzXο{i n{2!smA%#޽3{kl$&˔nc+24, vc.³t{T= +ϥ#WⒹ2Pd1Iwi O^n-ӳCto%}Ӡ7 :Qs6LrNte*C蚿 )yog/_GG>.8.cJw~ gFj_^I_.wn_xȱl$_skV?DJ&o?yD+":X!7c^VzĜ-QcUTU~(t>Q)֢ޓO'2NIcƼ7&MSn. Pbԥ0Ef!! -6ۇ٫ GvYt;!WH))8s ~c fj _RH)cPD|eS'ZRH2(`U8CY F8LY\<= rLߘߖ-Io< 괆])n@b6ϮJ=\C^{]Y=@U;3eb_KB4!sM { ~ S@k`4tҒb+0x^n?/3gzXyT q첶]M]Դܧg%yq ju@reFmh), ra(OAS6johIp&;%1Sg#h;w!aO鄾?Pg9sp15860Gpqf$M1h]n1:Cq9~yD׿1=w! U?07dyl"<GNsשUM :j8x:dtHַ즱8y?gЃ_mu_|W(ZX׿G< Z8#W91z8da~W7}F|~rr|lR徟zLq,QN6 흁Lo6]Jeo) ɜp)e@?NEݹ{+rTg]cpswIM=ͼG/~1wףGyG-~ݶUQ׍ B 8?}1\ꓰ3+'w Þw1O?YXL HQF$L)Dh PoHI+̈o}`GԖ0 v2Xp>^;#.cvy6EERS"5U}njn m~(uʀHebZIa\vV)|k{2I8‘9dV"t߽͞,hZ/S3]zY΀EVVru1<,wt )'N&ވ~]LXǮ}89 ]Lajut^kY}F_\/6j/!;Z_{q],4u@'eڤlbd򷶥K|8ɴ];C8pU?)`7PFAk k.__ 鶬"gˇg:`4 E4}BA/3+9V&$+6|j^8 (3z~eDݎ@c]ߓU3O c~Ɇߩ@7,oJof5wk[t->x}ynh7=Gٍhb%Wwn7 x_~sq^q8s6zTYWޡ?FGn/hauU+S^:L}?/%Zk([Omw[M%Pۑ3]:1|7gj%#"-kKӾ>Tav@y@K` %6FJ[j fLN)D S fѵX$e!`lxj25x=8 TVі]( q0%/:(ss.f#/~@Ha2@7o"}u~j??[6v hP|$G,10 a-BIKZF=hTj+̺qƈGzaV4fLR6"YU{1=D p.[{  UxK/ lM[bYьxh #Lz 8% [9L*9-wR 7 ףykm1{=}Ƴ"I<' 5;q #Ex|]kZ,5OT*,w2v#$T)e`8ET,RkJI'lOK lpJ[ 7]kU kgCb6|jigDQT+ۇ/@so-]暶fNwO1o6'kԇW"=9!5>`Ψ ~]s+<ك7:@J8W75]qq#ށf=z465K ͉P)wl~m:o|7~K+?|(i+cSH n/U^Ҋcepx1lk~6:Mx=&p8ӢGr#OnL9!o# 6l >`8&P<Y 2z.(i-?UM Pw -XnU;;/gjuڶ-_.{gȊZ2ျ?y`%|,}섩߮Ȝ/ W[]U;X}pqSퟑ1^xfN:gq"_z-kmd_(`%ޟ[1-DS#[lPGcڪ$i1젨 ^T <żsHg.2/Jg% $ ~P~{ڕ-`D5Sڨ"'`4F ӳ*alLv2Ʀu+KK ̵KaB<+ bQ'Qk.՝`@D:m1sQɆ׍XQ[w! |V'C*86Rh9h1I9]ۖe32p~(sXO=i< @g R*O7F32)$LzKnRp?sX.vV3.}aNNݔLwP̲nUm?vb"fpx9+F㔽qތ_Z=S#NJ|t}? 7 ֔H=Hm ᦩԅq'ˊg3r΃`C^ ;Oj,|móOK(yKKs]#ꡙlor4 "&("]0"SVkqJ6v @, 8 8hO /JaR5ѽ2iu1*et$>}<H/t286@|ɉ`iPw ĥ0w>${~x9]|Z#lyywjv^~~S#\ nZ0Uеt[v3O=Goqt[d;EA'h5g8&?{Vj0igF!뉆EareϻwBr^)PGh#iZxюKxj/;`I#FPFi 8!gE)64 2댁̼=X+ D* Ypщ,8V߈o$k ^M3rb"Uw\ihx435Cx:|H8()(* '9TPJ"۬j11%]ՏթBUZ/528m#qJ[;0hDoK2ouvVcӌqfx_*D2=S'EO9O@IBД;+2B 4:?D zl R`e0+t}ݘ <~.SB$4M̀NnQHa|k{;4:B4JҼ(|ڦq?mG^K|ki‰7fmֿkSg,S]FȫIi^1Oo(z9:]tXyP7-iKn;1d[rvޭo-?߫פj5P6}n17VύeqYbøpl\4etYzoNHBoǭ{^yS` c sNY Ə9tLᅙ'^u%:(^kلAA}BLms9d7{gY<~ϖ*/4kM HQ?pfȎ]V` @;'ӚB>m`&r[vMN W Nu*Sم.anL(U_)4(Sς0[E=MV(l*9)O|+oMm0 gnzTĚ?7CeBk۸lՉbnUE/ %bMi,im 3'_=a,83HR|e8Z@;t 9ejly{Z)ǫfW㶪Q'QmP Sٻˣ%xO(!aZŌXu@WS"eGFPG흲o-@ D*ݳnN6kx@ȃ{ Y*ѽ{YUER:Ϛ # \<> $&mVŢZn;Ţ sS`/gis<І A8 - LTbvDg.˩>mEO.Ti?Қ 9lH!W#39DNn0*MO-UvChkʻQZ"'_J)8` DH}a(H}Jyv}xlH-YK`w}ϛ xmƋUod«q3,=ņm]ڶNy x;y]f4UFD0IHMO};#y66_70MLS~W?A_0بGg2=CV2q (g}Cu׾0vMwʹSmL+ڋ朗\S2 <ͺF*aN3J7}p\}}1}A&9벹 C*C|dπofDOǭ*o &eI5 ?I*Jjdv ϤOUsnþg .hh<;2yvtq9&!xRZ5;?:/ Iwr ؐh4cl(+:EH=F$ڑ>G}'8N_7#xx]Ϋkk3)볐b&G$ 1=|H7sv(>_xx*kLS,+C^KF~=Xv;x:U˖4=űTT7^ :x >w7HM:ȺRg >3,ѿqrX]8Xcio5>_ : >^;{$`}e:?NL8úEK dδGʎC^x[9).O&O&ٖwvq. |.~2 釳pX7g{\&h|Ʃh|2X0)61}KλaGxkĿB'[<+zF"κ#ZXvŃIɳ~`lQ)!`0/KR/~B*(-:uE~ O#"w^z#%d@i˘b") s`%~ xrD? 3mA!]RVڢuՊ@:k!Qt;(}wW +ǧ1󤘃F*/U#9/(Л:#OpBH &5 :FWk0KiҐ@gA<T"j^s2'>Fvw0A*€6TK>CE8Ϝwfx[jƖ̵ř2}. )YMWx#8f ^D7}UfЊԿΪe};sAP夨(M?ZNY,T|fG}ou:(QfmRZv'v;kVD{٢9j>n6&΍.袾v+zPGLw.<e`SKM(퀙\  |6:>&T$BoNVv'C?BMOݥW ({ :y\^zcZiˌ"'Yכu5qhk]2ƈy"p 8x|YΛ~$s4N8 qCEշ{N`}-oG?G9P~: RKYƸVTM"ڠW#Le׃Rdj}=AfAJ]w:Ψx]&/Uυٸ&22wj8]{VSeQ =7 wjdkE|9lQ?}Y{Z@n|cDn\[EQ#l-˯~+˟fAQfqdc] r8bt\xaY0'1Ƿp7`]-3Y|w]`$x3/B$L x(vM{318![ETp9Y=:S7ytqEm%\ra`&ADD""% ~W*^ʘQsw*.y>  D v^±t ~&1ܘN#$9N*9D0)phMe7ETO3Ųz9j㧟*;6.+JSD30B"FkLh O0c_y2@+zVۄp"ZFPl')MRՉ{ ]7vA_ ~#x9HfycB;l(י`Ie,R"Lh7m||ֳٰ$xjAkcf*^`Po>+3e~Sw=~ތDМX.!gCl"W!Iq]eA̹ɌPˁSmqLR}w[J!_/TA+m\O6lrFuF|=Dx-Xϊ"qHdM'L!|gbĭ~|F{ǮDM޽בA;f {5"peYuO|甫MN1<9dƻ>> \!E[j k)Lz(~i?k*Wn/_xRϫG2~ڪgTqGl~u~pXywT8 Hn,OW@4\Wjl--#Q_y8S]T׭.r жmEjs8Dq[˜hڹ6 : ;Y#z8pB2M^n|f0ha(Il"ʂv qSr'bd8S z+Oq<6P}|,l2qZ m*L'J^ˮkzsf XȞ}܋ ")rT5bIWcDYnī"+t/bs.!d3!buQ&l*?En)LX jt(ډ<ţ׌`m;%iI$Ev-W{"g)JܲN0Qev0C zl2>bdm CJֳh̦2=;cJOjaC6Y:rfG!ӓHjt'{^Y_J;MZ߭U91|E,*MµԳ(Di`|"6vƑX#%yGD$@sTB3=(4\1<5 2P|^dNQ 3~]*17|=:7E6@ ?2xHqk"b7Du:ǰuo7 良oz/hat$ \Q1fv'U<-"t)':A!b d $b>>[_N9RT.̨?~#/%"+7byv5I/WG֫ ? Z1=o1|y|xei]esVHY+v?r:c*E7!Fe(A'{<цLg9]#.A} #o7?hoq 88ȱcy !ɭqIS@OέUBO+3kǽT_j%+R*1@`)N#"so1E˕b:Je۰igLryyRXB:kw3)"ʞ±pM)%&ehyU~m"JR 2cNZ2^nvSLP?aM2seC^rN]Jk1f Q)<"=+'@46  y=C ^ZIF6?0JtB4$33i4ŏR;A8 !ٜ dG?>mIT}z\ˬ{]i]1`R2iy0GKBW0l43#dxR[( }c+:]d!NPy4Q5gϓ^t.A~ee>K!ؕ]6}ppd8|𦘈AA27`$C:2!>i;pvk|:Uџw/qS\}'DLތeU`j?E8ٴj)v)g$/n=sЁCOS8dϣ ^'8 f脉~YdXA+f5?DߍqY?B6̾sxdyxQNJf (+86 O|2VVU}Ӳ  gF9W#Dqj=YGV^d{p1e,Z:Mќ%k8y4Mow9/kS0X&p)R?kYixNO l{A| ~ >GO ǡ'<ȉ[pmt]F6ĂS5\Yfv}rƉ.27rShX%7Y}K6;|vd h zY`yɄaޓgg9 =[ "_ےxQ<q1OXRex4n vX71{t `et1@dq069kk;e<()^75Z]N FǁɁ:SDY@#x((߳QJ!i8J(# x#j8*rf'EH/jV<|ID=cZ?33NC(G?wh΃,7RNs~w68#U;79 2?ibARvu GQ$' ʯo^]V&|G݃ C|XX\53+SԐU! 50m5b=Z7)Re@IDATm *QqQHzG9q{)W+;0wqg8l^cNtf2^mH30SUsǘ9pn cnEyp#g*7J;b~wLZ\0FNȴwZkRQAtRlP;27kh훢5QuIotyXo`-[^ ~F^n7)^niRC ־G__deu/,xtNЩ>3;@^RɻX dvNy=/ʒYӔLS HeG8c4ӎQ6=b|Y jE>L'tq6ܐh&o8OSEȟ_@g5^&HNָ\h0ΕskQcpI,N\gdq"#3ј-lshjI"LjHccB3HJ*tf!f,d+L-T mv [4F̣q Vᄫ[cAAg}n AXdk]nKP=ي 7*ݟ7/XN}" I .U9 6ep(*%%;0^|a'OyI6v$\2 U) 7 ,W'NN#F kIYG!7N2oz2s$DjѶ( %= >"q\,~0k38k}=T5_po#NhчM(THO_Aa|ux1Nr6^`pki 91kum+32׳E7^&<ș,sZfّFϙ>zXnf9߼~Qm;No*槿kYݘkɣtaId7 ڞt}N eg/NkM)6ЫgQ@ClѨxq!:w@Q|8Nk:l=Y"%'`9ox7{'9ϷLtO<*P:+| tqtemo5X_WmNd#^vcF'1^y12y#*C:dZL+]iõ e#1RDؐEL!9FX wEl;l)D kg{K O0u"DHJb32<#<}'jR-d6ƀ'dYfqBN!q<N!YjE>/5DQ1rbl0gbsNQBLjLmx3KiO #nD'mv' T\ߖw؆ sX .ssW0_D qO^6ͯAa}^hW+`q]B:NJ˳"4GCTO.nG1xQDW;\9@hήqCg<3]*vы2/z`mUgԩåfCLR+ZFG0ll o#/zq7V;32IchC_pPe<$ٍdq&';I#K;J[~i ]U8g5/ &@iY4-=GC.#Lx0436#qtqXDx xk a!~cj'Dht?:֠w+W1>kAy*n,7ͤkˣzJ^@~=GR02$ )8|p0 7̒1|䠥/܎G*hRz㄰LOP (rdh/w@.c71otK0kοgcc6G&6 #X/Sl*b'f=x|niw  `T5)^v dDe6x/aK1R}mD_~I58%:)|q6XQ8 " E,dPAA^J@Wtܒ8=Q (v`ȹqs~QetwpMa¹h(4p"2mY<;q8]>,hPGFsKXO軺x$udO|*LLV?͵/Hi! ȳ,|D>_(鏣b]L]Tt_U5T[hspLΐw,?W-i҃d0ZWa=JZвW?Xj;)E%;?{8O?mD Sԯ]30 k g|ٞ6PɆIε,*ѩR؄aLP@oL[.-n$2h+we%hyT'b%t6t&ZVg#{D˃7_@Gp'[fGf r+n^iS2tFFXreEps6$L]ւE#c#Xo(b)6&y; Z1颫Tz6².”<7@ HQu0%Q1Ѥg3w/h Kc=̰@']<$ d]EVuW#0I%ոEoJ[&8+"UFY_YޜUk,<{vz\>?j*ck~E'[iOZrC;ő;e(ӟ V`YQ1MX$Bv TCa_m)@Έ2Ҝ{F)NJ1xM;h1k$zߢpqBehA?n5u1}00 fu;p(: AÃ4n#!şE-;slQa*'hKT Xd#ڣ냃S3]v95>Vy|U#ʙʔҳ>` {VEha0$n령Ńx|V$g0YQ?U0wWNA y IМpvSM:sc2rC䬇ux&`B+ (r.s]#@uuxf2$ݠ=B==7zB/ME1?1udqB\[YtRDgLW{/s8_Y7ŧ!#3#0v-%ƦSgiz-?BN@$N2gײ$S~@?=?SɘL@t-|jw̙k>{($hh) =}i ad#J7Ѓ;oCpN ^rdy@2:۱9!ͧ\Xa ʣ\IV3p0qa[ d ] .|V`K#S"ōnTdG2 /gpW \S[aЄN8ms~"ӘN*cy-9,\!I@F[hܴW`LʂQ."] PJlp@o(FQ[iY ZOjzvv1yf2}Vm BLZ"eMZ֑b6c#hT|0~x |&l@5k|[=7ǝ{#DBLg~* Zs4b`mE*{Wt(d'B~&(*>v6x㓸 GDdBc̞imw͙-(8\2Ds2^8Zh/ M䏹FWt5_Dpa8)jplkk 67K͢1+>,P3Uu5<Ůo݂ 'O"$eBb6 GSG1zSqYtrq>{tw9./Z+JwuqWvv3\#4(Yzk TDRⲖ$ˎФd Lu| w=c"lcISĨj[\e.@V# T2E+1Ch^?鳋`Leޓ<qZ-;c@%/`d,I7֎neΐ-3E 3 #H vo9 0̏ 9 j"HMthvҢUM߃cphjGkۇΦH}/sa"VaQsxiOWFL_Ȇ؝Q{ M=Fr5hiQ iO~zRO_dwC̋AKFNY2~^ Q݇ Z7N"dx}'#:<{(-+?wCnH7Ì5E tn!Nᜧ0 3ؔO),i e{MBG䬅:Jn 5j!w'lO 0$x4Rwa9$*n-5(TN_MDn2RLOU~#; (b޺T%j`wS"Rb'$p|ouOp+1.Q0f0JD˾!|17ϟ?ʳc#C hcM{\tsZfy[[黮vȮ߼8鍭l_Ev o6hgX6RҎUųjw 06,0Z9PpnЗB9>\ց*L~޼HC%9ĥD&ԲJP@<>HPI9Uj)3Dhr9I LPo(Lel 7F)lsC pJ$Zein`pBket1!)6m]+^UK{"<'|+ l%܌yR\Szvj{ NB`8LKa8cqvઍ X6&URフII0Gi oC{C?jehD"l \xb*hK !{3o-AYra*Ep"* 8I;K1_X2?K]S$pa"<\CVFJ-9)`l)ȄmՄDDϼNEFZcyѕ| aZ >ҕwҭqpI5C2co4=x|3=g$דO!ǗVx1MZ6ɯ k|3nAN ۵Ǿ{c2zjm?,>#lڊ Oq>yPT/zy1 kp39<ѻGG=Zlƽ;o[e|xpˣv[uRՙlq7((w^Y?^>jCjR"ϸ^ 1}Gп%Y*ӳTu.Ed\/3N>wXO 4&Ы>^*qƜ9; 9yrNϏ8>@yԢ,Av)tww>׿*{k:4sgޮN_GHG +`+ލʾL~-aM!g1+5bVnL"$E4"Q_g0\B B4_\=\0n<٥i &x}ƾ c27{Pj((5vuM`ݸi- poh7,t6Ry[y{`1@q~E69lNYXlH9>S ᗢBOi&j+@]iک蘶P=5MH#щIl.1UhSEhʀ"D#K9~IaYҤJ)^ \y$/:h=FQwsM{\c1t=ɞ (ULh ɴN˔/2:@66E(|iND'G$5i'23Z5i'!vQdNMa1V1K38'v'pQ'Y+eb W6ɚUiGㄬ)& .js*l4x2<, 9~PaitEcĞsڵ~a! 55pL=7nhRǰhii]_7 _52#=&B@|?cǗh%c)k%p3G= 8)y& X|8 nSvYm>Dv/DH3B q_߸;ӆMe9o;?_~ X8TW2J{w$3moI+9%fn>q*!lXިO KŽ2dإn!n-{{e*Mr~&;4AJpÔCva;6aOR #bE6]R}5D% "gtn+a| ͛o_[6ߢ7-_ח>LO>x/E klUͮMr) ^uZ\9c|AZ l% K yR)K=JSwR a)ȃ l1)7?/NFw׽%vaݝ*g#3P_0(<& Pv@to-1:mlY⢫Έ8as|OStvg4:-82+|DԢǟFoh3Gj)%.tPZ΍K;EFǾs`Rƾg)ZF|an65Oc#_up_s2-%B%1M{&:5.8jaԜr2|»0GM K -jڡUU+G_,eQԏt!rt-QyƞR8Yi)A?~l4}<]ƛa8k3s:`R_$?1#M6۶zV[PR%L=LdF,e`z[ɀ+hsj N|ZQƇQ΍Vt #uS]_9^.pLkapB<ѫ7ohj@}3X?hj :gZ2Hl3R{n0©0~'@?oc"/3: "xGL 6d8oe_w2诶koC+GG77;oRtyɇ8KcC[;"2'Z5>߻WϮ<5U3dp<Gݔ1gaOE+_pɢX !PTמ|UfMܸ}kٹ2-ѲqDMqZ|ƞ/mdc 5[; ~& ),O?doo?Y&|tpyݷOFy\*,8 ؆F5Q-m:5ݐЇt( _aN-e$t<\>lp3(-+b?T0Z 4XgfyP\, tOuS[?SR;Z[~2\iPSt5/BwBLS!m N` J5^6a؄y[*3ש!$RG4)gS;kS!^Dl؛}U h? Fi_qb81'FƝ[3c~m&Lp+FGwgq =m}>&2=#֋k ~<UU8-d<\A.5/CTTV ޗQql[TwdڶZm*!.%Kv)cgl c0mR6ލf.2Ql9ps,0tFL݆9`XӭhMٷeNrNF0=TgBcL (kM\iYv'籲R&ap >w8 ƀ#A-jKN'3;_pN繇^Z{sȎ 5NV9@VEPXs2WEDHnKVJw)[ض6lK1e!;>µ:]TvF,~:[9A^W_Y1åej햲Xe_,@`Qq$'# [\[+uQ>:># *|pBy@WS*]HY@ߦ;4gf{ MglQ$"jyc j0Q{A6iq6x:7̅"poTygi򴻿RNUךQ5SOq|oc V*^spJ15tt ȳT Fx񰕐={!p@[9 WRvD +eml8rf1&,*eGr(I2Ϩ6vpr#A&oR yEZ8dCs›$Wtɋ^FQ1/fʀdn@U7s 8J|vɋn% k?+"@8ik۲`ЏIpu}4UjiEK4vD8x\dI#e]9%W3b6TR$6gu9fXnw/=z'`ϝqQwx?a,]1܀8Vā>kz x\b=w?1bYxdy-ɈٲB{RE U@>o 0jhڠ0R~Tg[zshy؄F~}3QO2}8G)ᾁ)w䄕;ۙj8i\_o"kG*Zu&&U.ˆ>0ϊj9]W;1zJ76F?܈XGE Oc4O+_яjuD((DS35Q,xCi~igtS+A,(@DZtJp'TV.";%2]cCYFŐ([J8ۄfYdO?k]q zp\>PV<c :踆D{>s +s8qpLIpd0){Ү7+{Ȭ9"[/TAWr ?O\1qMb;E*(Dmiu<G2,nm,~9<_d`zI=m$8b_tԵtvt OY+pLE/sea)Ǧ8_S?[ L31gG__3a}yX{s{{zצ!X[,!N8SWQ fTkQ͉Dz-?GqV{MdAL É6<|}rkt^ܸ>Gㅀtr ;3;O,Ȫ#N䃻d6ze(ޭkG9m?ط6xI|B|G nk{tӟONuEK/Js:;<(Z%dR&(!Q@x-a2|~YaDzV( Q)&EH/^d2("5-28'#XME̅_㠐.Fh*2Y^ROY P篗U*l8u)yg9ѹ ;f CP*Nѵqr.,a9&l:e{zsfC- E[ }AS7+2Y! wmßi,}FJz=ۏ 㽽5GTR09ڍw|p6Y# P3df,g5,RG;1X^պ9q͘.w͊ CZ)'G;ԫ8Hchxm^6Ynj~ϬFzŻa?ϻ3z]?&/ɢkK/6rދKeoNV֭gW>\?KWT eH7wW-m<ɿ, 5/O?o -?qxwh5FN}ZVzw n[ 8ܖ 0쿩C\ɓwFPVq U 5OJxMJu<|] K;޷&I{޺]<$^і p8r {L i[ඵ]*2vz12,d5P a@c_#&qtgac8{(&϶w6ټ}ރe3Qz]$J#4ooEdc w֪Ksan)WMuWo~e/@҃!$([ S2w [}8ήh3q9'gEpy*F_HJ6836W1T8S "%K/)4h]iqRdy]9/F˜辔v| G)Y[AwGG 8] 0Jo#s2GN Lt Ll`2C?,B 3&bֿ[S2[~X=1;vS%1j{YcPB<X(_:5?/eʓx(՘ /_rQ'-bJ̈DZ1q |6eʬuc>+^vhR !<<]}:5#s]IGCGvP L~%62 j <}lf|_X$ƪEƠJO6Ntx^@WX ğGޔ'C᥁*R?v24{m`3s^6wNhg ѱ#1ͧ`E@T/@dLA02|"c-o(q,O7~[?nӯH1SÙz;VwOlAOGtَ|;>|;gSw8Y)*΢i4/p\m˳˶n7'u/Qgmp6g{cLIw}~Ϳuz]'__lxȖu]F.͓T8YQ6W c& r;!zBb*pkNjQqxEZfdD217 p]Rr>k64/ET fWyA "Nc@kf vY$%; w$WnDDJ~! G팃QThgHZ۲O,n]föWF] 9g`\hjb{@IDAT'meZ&11`@R&˾`L] j4 @t7;A$P(Qu.oqhsM R}8(1q0+sV}.J̎y)\(ڣW5qQ` \31Z1)5JU` d}KrK^{Z瀄K4z ƭgj#h9ܽQLdDmݶ3:g$ݖan{'uٙG݉o5ssF4m R.l=p2 -~,8ؒ+gÊ橢xphP8_-MꄬKY.?njarUwk$_?õU'AyuK&G&NUk?#¸pA7%P^ѵ9lqT1o5s;zI&&}nԋ㋷>LO7u&'2cPK{F{aTZFps!ӿ<}YΰJ7eeҲI(w ݦB?v͇}AេDA.sۭv_=O95ͲUV.1`ӓOۮ>x9飬:K e?<] m$Yx҇GnU'q8u{no6ÔоX%|ZP~,^$GO^U+T?񑯘qqPRN8/x*XF4dɦh-ҊI[ L"QC"Vk"L̀Q+Ō>hxb-b4ILhdm}eWm!V=bXSyX" Bwvs I#>6!=Ky\a )|K(2" 'ȸS;QRq7_h/ĭ C[w(%řplc̪"Ig)9H+`@ ׮b=OHߟ0?VCy<ZzLS(mΩ) |x8ԟddvv sdPFa='VROw{^!*{κT-m;w[sfӫ2~_p6^{sȯY6ht͏YzVƀǖ秷z xP-WNQhNcUS"sdEߣYNuuFw[z>ɳz9)evXnw7~%vC:_K!m댳N!L3:;m^9Rwz'(,bqyp7P?z8f)fsd2Ͻ6ivU)aqR$][7FN3 `Ђڳ-Uyas#-M{lnY>Ɋ )1Gta9&qsRTQ)+ߴ#C$ӠމgKPo1.D{+Cj$>)`@ǥ$n@ps.|_30"y,y)-\X/(Dv˝ؠD)AUݮ[C~MTӳJn/"5?栐7Uy;\6.+W@WMm$1\rm2vhÐ>ްO ͙e3)}o͹D7-Ɗ 9Nv;hW2αd0\3ÃHrOu%^9]6ڮ$|}]qf 獑#t:jτԦ/KϙI]*9ry~oN??9NL]G56Rd7)tU`5 ѲAFq=w>Bu[rwmςePkJw~?{MwKn/skv/GpڪC‹mvWsZzgcOua=o lu^N,,P@yӪ?|v άg`)Zg>y >8}k46xG@;P SOE^iy5CǚJ@8UtF>>^  }Ǣ jY|v+G`UJ6 6Jn~ >;G^F EV vQt>NэhaWlzƸdLkؖ՚qtF"?},rsP.u\78<\*Co{炗hBoogƾ?a98uHDǘ#. 9)*cM߻_`3Y\i~oJJǧ?ދfHE$otjfbj@g83x,][ע_vW#'[y~+?xzvt]ί}?>V[,;x;xY lW_|~zǧOӲ?>}Nh~ӥ5ݠvyRowrF[yw.wz;Eh@n8/;T齶C?k-`er:egM x7FWzܒhn˩ˊ9ǽ(z:CAz53InGG˚PXGa232>0C=kϺS ]sjQbVmeܷjshIq;W3p0[TH~xG"%'ڱҾmsM!WɅks04umA6lamc'#g6z-ZnXgm>-!mnR4Fp˾23*oSNڍVr[1ݳ~(4՝X|z&kE(%F*>!HyG(5F~F8b@ulS} yK 1F^!]܁NwLt4!#@9S Q_Gy]2Lw(EPk5' +|CX &4ceƳ5w GHH~O;!J^xjMq7oUB̯jbH9ϒ: Ni Ց&A[+#H03Hh>8e,vBg̓-+9{ ApX2ƏVwSu5/=Х~8.Kv]{]}M /7ȁH_!{`;H7Y֧Txz O ˊ!x>l@8%Zn<E'I1FVx-noί%~W㣧4D_3]V@2TJܬ/-`;"`zj>o?m+\m/N{?hZeo~{v|`{tw2>?/~p?u?A:"==x7p /AVA­r3)|ǧo+MKUw%gr!;ѓ+SyjNÃ6=NvW_~6y뭷WtVzF҄cN.oTӗƈ~.pUR #FZo94FIR"FG-" #( f-гE]L!$2D84W[?R=2KbRx{Bchbsҹ!B9ĐƬ '5uweN҆'[[/`~fٶzIEz6!,gș?)B8r2%qCFPD.j81"-FٺVє(5,ޑ!Eaį[M6'b9ms+06wۣ͐W}2F pCttȵ`d9g;ǕzUE'g$^Gzߡwi Oa?\z/=3>%zU_?}ġ3d՞Cfw1v~ѭp@i~KA E{.0NC[᳟>(a1LR[ikKUs&p4gr#]u%L(;x}/'}Oqjn?;v(ϿJo:qO[䰝eSM%9=~z-{pѧ??=Y'?=}?8ʖn[ڞ,di>! wOGIf g}S﷤AWa5g?2oU _YUX-H +VgL%p#_sOEs<:RAn.gE4BaE K̤ o~&!=MB A nΣQ4k2bTYό5tcw]޵eD"Us@4w>5븻d*~(<#3R0ĉ`@?!_@5[P 3,:q\%/88P? .']Z#!,]L{s޶xXCȠ0#t7? ^Ny4y˛S eQ1ǻq@g1#mGȞzEx)).;g6odL ыe ãNT!vX !6\QMp WA:i)rOOIH3jl^_.oeJց>X*:*Teƭd f!#C0 qdиkwHFI^aeKuN!SbLx*\Ny>G8bjvެg0 ]11O?yx%!اɰL^r.Ë>?{캟7CϿirt{a+t'逞ӧ`7r] Zok^C[fo'TS|vc_|FSFq?Nksy >qz톭Kۃjkt~AqՁeѺ.멪uw{z8}vqf>xݿ;[xO?GG_$wۗtS{ 8`wWǟzpӻ鴶Ipb;L,Éd^5tpӕ|}(Y\ )po\Xy. jd= k77lc6IP`PR:p3K?@_7ǐ ml袮@Aoz!ᱜJڒ4MQdu?Ͱ MAEy0_  E22Ho+N(NJdjzQ3"8 wsp5ih8-FEo%W"6HɟOX:΋ #K% L[ܱ U@1iu՞"C`$l) 馧M!v/N2wH"5p)cԨ'5)Ee0Ezwi ZO~ak[#O<9L HQ4uTehxSpågyzV`tugGԱe88m- 8.VY<96?0g{K~1D_iP'x+՟eUkM.«O)t8kL[  E _ކu8 瀔mpunu:ovHcp)Y$܋V{"W42p1q '\xOJzNK0sfM志}cY}i~ m:Ѿ2M)+d<*mel-/^E_PHt=׳="|lSˉoW] cUz[ h?[ݫ<tp̹qZh>Hßq1^țϜ8NsیFGqe+`Z*Z" [8"nBqcfBfm2:x 0(b/ tZ AoY@Hxk"歷uUQ<=E Yn9[}ԉ酸-?#n*"EAS×5)2 R3p1/*ʻ)P䌝 ([nD>}N ȝx􄚇8AEchf΁[d')ˮ997@a.m`'Pb)~P)ėZ6W.\c[[OWMU[oi?dr?Z2ię3~#_'| - gNi#iFͻ"o|s⌤20uDyJr-;q9v"=huyKe<޻В[At ϗ Z' |tdWOV}!enP6[zu~:}η?_~R>}YõON_6)y/'zmMMA\p a14@Cw`*B#>L  C6{(1m 0pjӉq#!s@jܥp4"biR -SbBP=Mͺ͓ e]m3u+*%$RܢY`YZ>SLɐ^gȂIXs!tkc{1iyK(ն9LweUL(+B(q<*5ǗG)E{壘[QkYI[_GQq $@EuBw.jIasʦt‡,Qt>=^CiFͼv8!B~SM- ϖ^Z`Jvֆ.JF7FaQpezF!!zx h5|৷V1M_ElC|xٵ㠦UG-9$[^h0/z$s9|:Ϣ'Cy6IV~ONdCn}zyʰ?N>ÚKZ^cs_EO Nmr~K.m<2! = _ NY\ꥻY0OYPLb|J;gW/ ߖҎ\+kIf(ѣe iD^DOk?bUC^VkgaZ0@Gv-P*qc8.xm>>*u-~kx tm?K,kx.315я}*@ NuYΎAWa{;Q%a jS&ELz8[Rj&@ЛK١V2Rmvj'7g-hN&}Xg (=dԉhENDύo,)XJrf[fςZ oOYXA~݋/g)(w8s8__)D?{Bj<+ҊkP TCFdtxi9uA/6"pkJdt0`6vbkk=8ekv/eK堰Qz;=)Nol_ ~{B]S^2=-;^m;}w{{|{,+!ŦL(9.(f Rjpگ:,}SR-ZIa깆@ JDg{&$ y=GW:<6/T U;9Nj4^I5RL1"=Q/KPVG8<E*mizC*@Kۃyx;/: +cJk)Ĺ'jϢ"޹ݼm>wN]ld\ Ɨo0΄ʃF0^ GZ_cb>AE_GH#m~Kޭ;x}H3dWȴB> 1~?ꡠC}otOtDqc/E~ FQhEP# )p!bwf6#NcRz)غy=VK#J)NfЛr -|0UædY*w?c"[-x⮚?b#3[c89I1u,xW"3Mnю>@)GC1ceD"A=0(JB#[L=5Ũ S~k,X@x. ݗyL}Ya ` :Ed){ZAR3zEfcn: j8A%(:RGc,o8*;Oo/9I5>P% H(:OTwA-#77>Y di X)dr:mXFSe`sx'~ RTqt\88 /F'0HݦlJe- BS VF||)[!dJ%mohY>)z3w^=qϮ>.}ueN7N$dW~_QC.ΟY_u~+Э6>ȸ{鳟U Pako2ec%QI]aنC}qaccJY.0l@JanSӅAbh[JB1PL̗*HV8 x<0d b@Fxho1B{+ ɇ~|ק5ш da;Oȩh{.04E̥EDKD0| v1XwGVS6(ÓbmqIoszu%ȱAV9!mփvYrTujC z&ü`UI=,_D/u`N-PD M:0`}NXʭm$cv d,d`/Isp=ZraN&5? 32BP9 e Jf@>WsFOj'=OrY F9)8/5(5ULXwgeP3x<L0+9;'@o] $j~Fn=g8^ %B H7K2j *>X\f@xBPÍwZrڗE T'`S̔=: آse hhfSU9| re^pibirly]M&H28^sKr` fK> 12~!g]ENS3Ӛ9(:LDslkX 0p8J4D{s>֬/$[Th8)Z@L{05=UPtF p!k񑈿Ǎ xC+v,4޹LȲ L7J^o7WIFL$AͩɎ:A>/ޱ*‘yeгer/ڧY)ƭK bd[QsS ev&|ٗ{[ttν۶O~mT FF'T] sU&<<.Ə-o #Cj? XTP<ϑzfUO$^Vg^2X~ɫ%%}YV܋ݣ&YU>[S 9Rm7?oJxy)(5 %9Adcf I["g'<3bMg?aBJ`"ߊQWr3/ 3XY۴N}ՈӴoUksC̛^Ympv@ WD'M7\xFϣgMsk"zev-8UdQUg6E2+mB>Ԙ\QJyvϾ{U6C )Zbbښm|QhqxJ Ny DeSS4B47=)Q2ݟrwGP6P±=ïu6;xP51\ 7VITNPmhُ1.`cѿQ}x67>޽ pl/qdD2 l4߯L jөD;%\W#9@x8h/ M'4cdB|S;~Pǁܽ״D5^ʿ[vʐ.8m\n[ȰE5Jr2Ѣ7j42FxB^[.e뷖߮wVF{pfs;Gd56]@ϥ].:xZn#*aUεitdzW/EǕ N-Oќ c:$َ7M\՗Վ=jK_׾=H.+VU=~?={WtTq5Pʊ p%|_vuG%! &o1ۨeժf 8mو TN;Ԕ{)&^^=ys΢XSWlh`8[aX&"gȋIL;Ŏd dv{|챵U^خH ,]]C3T Qb#E}ޅ罟] p4f/PG2&y1Ν!?Tq~NJ5&^U[k0ٷA!tu5\R㋎x ӭ'j(`p, 2qj3;Ⓩ[Ed@jԕ (ME"hhޔ_Qxԅ$ b/dSb@d)+y6.a1؆% +u@Fr31g<0YmxsDb=N3bn;`e̍Zm_)&|Yo`V@WaeP@zhFL1.?$-Mr*1"Tea#>!Þ[UV%q=65Ǧóˤ)ۊ??c=38rbAJsUтST0E›}e'^Jĵs@ݫ6%=: /!1Et; ƥzJull(: ?2%X!\nS1/y=_$ZsΞKN[?jؔɘԟh?E\V`ثw`JT1E득*E zJS(ܙl? S\*ϐ5$o:A!&7\ 2ZRdZ@4p~}#z4cֆ0)%8?gH!gCF96zsS gjSM)$ksJWQ e.AJM9E;8'N4AA2"0-E~ǻ)fs ZFv4g;[F;:Xj3w6^{,K'R/ ?;AUJ}tabj8S|@ĿO 8d4<\;px o ':@lLfûܻ[I.e W=cg&CaN )5] RXsշ͉kف<A4[{ߪNnVGs/@ :i놬(te/y]eS^-Lܗ9>@@IDATkrr~yU6"c_>+4G9+s$/n]==L<)u-yOZ7lJٮ}L1 XC:Oa(>dE5>F3ײRRg ?Fhמn.\*{bЛqƎ|פYP7H"b/o~]BcloYhq'9t4[z@>Q4`΂Ǵ96OrL;6˨`VwМ-xaPcF> |Q?uE]1YcL_Hh@r/Gt"JbRrчKNd-9ˁpG6A8)6g${=/ ax;xӵJSSQOqƶ|"/N 8s&p s\;1g`Ѹݚgv0,tV:"; O 7=fF輨w]M'N'$p@x}cK#zF5+gzFF?Ϧ{Y+ ?`&5&%n29`s~^pH&. |g{0$E/lɒM@%(#Ǣ -W;~vу$>Krw$pJ q ܃Lյh_xhl\Cp8$b/U)%~l.)OсhnGQFYi"lmRj~';Ez[ڵc3:| K6~b`&2ekjxJH"Dľ Ǐ²tFzetp|lq Q69Xdqԗ3~Lobư颰D9vNC.RjSp˷DϨpB1y#Dz3\$Xd -]iH ТEc@>K"[)MsE#~81/<{'W"@8.UK,'Eé |:/AwQRMHZ] 9Sl8p&E˹Cxl[L!)nu2d 7 NGdNLYUXc4KEyx(- [<\ •K⋮>hglB٭3{tba,EmUBE=V4[J=Mo k:^4k&BH 'A+m9u`[oi>Ds xu0_-J'/s؂yտ]I%[44n,ݑ6͡kKRba2ikP4|SLx/zdϋ 9 C4)I\ϋf-ǗSXFds<$a)3EJ,Dudd[/F=3/Oirj]0ӓL9({SFK`2Z-Y3pMjS(Ë,줄Q߯U_|qp1"#3OZ +:-qF#j7:AjD!\s72lO7hi4Sg+)@C/eabNK?yL%xdeRK]]2Ywm : 2M;\.ښ!Ly#2xjo\im-نrђ<˼"Rtl-CL7Z|^8ʡHXӥ; Ӧ~WNЎεxeݸo4nJ)}&ou,Hj$D /C z}JLWnDޱf|zVØ4{0Эg0AD~)M$u쾹$ m+1E.|34gi(K:!fh}ԛpP)*HIo.dAAHņqr,ux8|E׏*-cp`RbxVN!ohx@ݱ.8jc|,!Wg<,m ܽp/ e#8lqUMS "_ů/'c %PvЊQt Ofl>!Kϕ(w,) -\E|$9`R*{s$zSZ7V_H;Me4ZO_sBȲ sb{'BYFƶozg23 t6FfYfW1:[qe\qt+<%@67 Ox Y^ 쌑ap3Ƿy<̣k ~t{-˞ïj䛣҃ 292spC0qO` M gYO?;o~/~qoҝכ7>n2YP{8&ZT[=ک/㿌aّ+eݜꎚ _P)Hz1!LȄxHR;%brkQ͙Vz5K*-"4Z&ђ&i< UnԬ4sUߋ H'Nm6IҀ%s30e1R?ݵD"e:PZi;!>Q"w* \l+>d*<$f0cy=kw 9#~+B*kkJ BݎNIpw^_Կ4RHpjq&v"'& <xhF s2 v_Q\o^~uޑ^ȑYyRiL%iYF6~Xe7˜4唿76gj q":rE ^M!26PqGm5A gH2>8ϟ7|Vf4.̐%2wKM?8h䫌}_4%ay$2!yS ےF nX;aaBx$͙vm+?F j3Yna{8ѰΑXqxNM[΢E)pgLhL{,tJVzsTaӴ * x3eF} 8Vi7E/ 4(q !T=7. pm|)c8|t=9DQa8"jY*92 qz j}6Pn&pb?:Eq2yxI˲F~84YftK\i^_!n T `_+bM ^;qWlO[}n0辬ӛ3dj$9(7vN&c(јO?b ֦0MOOP7t$ֵ;'læ% 㹦9EɈ TQrrBpLGK(e1{SKyr6*Ne$ki%8WK];?<˺%CRWx ~bJ3KمhQO*hUi- Nq֙S) c YKq</!.Fd`[ci:"~'sWp}ѡGJͩҘ@ sePzL>UeSM>{Nw^h ?5C9F2EB NXQ(*k%:{رit3ae)8d)> Vz/QfLqE)$pQ. M[D9Z90ڣ JTzf@oa#|uS6) r\r .RZ" b噾Z4=+rQFK֗eQn=n~9\Rh3=0pyt E^ ogG#^FSLq_/(ɩ,etc[^R$f$7fTz~d|ȱn–WZw&YNQREvYo1j4*Nul3q6h ,(L&@}5[Et͍ Mz+"iC]{ǿ,(B|?П:X 0>FT\T#BKW{}YNd;zZ?1=3UsFQRm i}^66Ȳ4ý)Z0g 1O@C}cEz]m.c\ 8k팯sʠM=FB}0w>h%*#"yA N)^{tiЮh<EWZeN!EF`?etþ~-.K؛)o֯Y͡8g?lN2OO.ookz ܦ )z/[-a4Hb<^╌ڕ 3o ߬g7 iMED7v~C01NDߞ eb!ljn 3Ǿb^`ǘTNO/Q#W_s$/c kg-Qt`dKjۼRRV ȩڀ"SG,G6|.]=|̀^HũIrkAaў?oyW S7^ǖy'„;Hb(|Ó|dT }9;8iz8>1eI)1ƓZN9L?9V7Zmpy{EØmqQUHuLOpntQpRE)yc>{:Z7l|i1c|4SƩQ}-80)N#`5㊋@ e%V0s <3&#ѧ-VPCOLFf)uWL =O΋dtHy0(D m|1s d|hӴDՙ^05r:lq&ǭH(R {c(P/ea`-rje|nGoVtKar>hɡ6e^/R33Sz! = џ"Hq d{EW᧯3Q6ߠa(K/?FGPF 30h] {XpajI 23#_eu䞞<&=z-@A}>ƶiD Xb.4% "{n d0i磒˳ӯƷ wjG^7}3U?2*k &>awBR-GY2z:6v'|zw~e_k|]91MwiT&y;KY N! M'8ͩnNMNpC"tT ?sEA! GKyR|qW1 F[ZEUm^4zSw;ϪdLhB֝31Qjs'ec>P| R%C wc˚# J%y,DkkFlmȔ\pe=()08&;>Hp(1ͩy!%5뮵cN̗|'[2ⶸF1uP1*[fnxrzԖa;,E<8+f\G8oP3KQcXRTႈ{bR& qxǮ-΀idZ3{uo[YLA%F!\ÃSг E cΗ]2Ə_)6}ޤ{&&jܟx Y9dOEs6eVET*e8(3z=돒7k[D&Bd8IG(* \s5_pKG 닣^"E/twrAoћ`$rMߞ !S.hug?fa߮!DR%plY@CF.v\E"U $l9X!)2E-D93ު<[T{o- Z6Zwr8X3d'ЛJ+O'=;Ж g|_ Sg.ESbGZ]ә5+cE]KcPk{L^١nzC'lT}Շq{ш\q,&oS4ZA".\|]_qVz!Q=?1IOr⓵Kv9ִ~dNm菪c"CWV{y8c:Z2 _!Hԏ6=mFiys` =.fAS,җIh80@ƛI^8Jޘ|?E(y*O!`62c!U+Z8Wy{cHQJS om 7N+lΨB^„dv֞S`W;Ò숢Gi5/G¹`s(?g ,ejӎQR Yv g L&2<>V)V aⰱ-"LNJy?ɿd&bϓa^3PClVxkckl"8C34 ۵P[a}&zvG@&kE@E[= GonX-ro|/_kY|䙾k yr{n͞sEAzѩM`m~]]JIᵾ7ϐY/9ŝd@ٍ@|Pܮ?C@E3P'-|z/xp5-H*N"6x,or*X?1|-FW*2Aj׼Fv|/ 4nǧO>zЮedS2f@CE8E{p|K==~'ƫ7xv[^YnCΆw_;jv$ֽj!h5;A~ɦ:N%\\?R} ٤O-*.cB3I GL蠒dkug ip7"MkcfP3:˨(ABH:,sa51O݁=?Q2st 1CvR+-!0}?|ՅHq,;t[KLA #dv닗{Ѻq*H\~ G`%)㹖1| ޞ !o}*d9' .iЅߍoNd`+ݸ.V5A>Y@jt0EF^ƞ/El>F YbrqL2EݐqV~MȈl2x"Cb3z|GٙKG8=nSs`9TXvQA#/(+WhmexNŧ7O&-c#l+(f@'{6Ej~Yd_a|>4.G]88(߁Ao/lGogvn[-zB7nm~^@p 8wxee?-6(J(D <д(Ȃ =F愍󿇤r&y"-_ ! aA=1``PHe*&`?"YSn.GNn͇Mlt|rUl'%^jeaF^-&!{FX6trQm t|}og>sL' XFTq)R1ӈ2@-Y m cN$P;QZPxڥ9)q] nygZN f6R77fϢ#B'ZHV4 Gԉ{Pj7)F*]UkdžHSh,)ΌĵBZtG1eVD_ʦ!0 vk7EsU,nK/"jjkS= Ѥn"5Y)xv'(jUςi@(YeՈr fҪg9v(asx]tVȞ(@`Wt̥=?S{㍦afM_1kM{@aC_wgd/Gz֘k1S_䶈r{E`q}:? jcеG!c" olN o2b0@7ViPlpkwڪ7g&3n:sjLwzO%;Av[&g]7³Sn۴ 8Ϻ/;ӡ/ ڈ]1cum'LV,Ó7;>p+g}[ w/o|s¯hz쯍Z9ݛۻl5Eµ`Za)h U>_}wp*%; nGϜ1-؝=U3=g>つ2Qyᗗ+RkDQXu(.sFt1|*'=9HvQ)~)P=8ݩu V;:CT*+Hoͧqݪ1p"u`99qyVt͒80FJJ@Ыm{0̂Bƻg#! K@NkޟZYK u1'2+m,Hݩ𪀊"R,/J%9@88G)ԳA̽gJ+|6-YJn?oTAQ={m!jq&™wkr ksE.'S2v;r3֗:E+ q};.LM9Ƨ?nr~8)H0#*#ԳV*0 gHG'jn1^}87>c|vkRr*i،+vu>sӧb]]iNoﮚ_wn:^| 1K-D_r}7h*@wNF яӯW <-m>Ўa=أouq#XQx3z[E':ݒ腦=pPߵ9ڟk3Τy4rDbϪɎ״Y ւ:nѩꜣ[ /Ð- ](v6y{#2|7\o_mk_ƶinvkwZm9-|u' DL:f^b3r9\8nQey{Q^+s DD+ 8bkXr6-=b/xm;r>(ґPD60Js\l [[@} h6-J銚n(j ruQQUOvZc.^<l f`yV#@7H 5QOBmt]ѯoES0ix!MhɊhYB6FJ[dY.AL fpIe9gz6c#0kA$dc3` BX 2Ju#CɈclkG/JGM]JB|"vo `q\tyA/{1׆qNF#X9LQژkӮ_d#/pH<@A^$O?wk+l{έV+gPbhڰ'jvjx&CKl5EYjhio9 sT NMMY-i5UVvK2t7O:[&ir?0g-?hG g|rrxx_b8{=>}~n?y~7=V3r;z[?2Mp}Xl:>`7MJr Su3 gـ&E\Μ-U6 ьfż<خyQKqa{g| 0m 51^wE7I}+9M l&BLdZT%ϋB&;Ԁ㨪N 85T' k|iGLGlx,RG!{7G17AE,w$tY۲4l3T*}g صZP# r> ywF Bݳ'}|/rC+0Dg9J`HыDHߏcVIi (E2qypG9*R I@7Iy{O;A 㼌QS= w(Yߔ2.9d^TFie^eEݧGWO-#3Ϗ4)/wTYrNp/|O߄p7N1&sxOEए%ZeH(|pJ+ZӖ:zfX0RuܐOcTaGz ai| lx' 7ժLaߴI8)wּ4ƮwP?dLϣ;|w~U=M>fWqŃ][`h{{Mf½hcdLa_?|9}fut"n$Y$2 66is[s,V&3$5~{8ptDo4#S;,^ps׶O|,h?ΆڨjE_⼹ErM 7X|ۓEJ}CՏU^3}0?{ mhn5qSDKn~/~sjR(ИL wmo|.qQrc%ZRnǨtgnL㏅'d0(j6P>|H$CHB+ Spvm~RqTIM1Q(/G?V82=IIs>ڞ`(暨pHY?-xx-ybyE0>IО=TŀYR٦7tc9:N: 8Q&㦸d^fpF~'4"#84_B}\s6~9,xP jRS w+~E#xhp,BvDL[ŢT .'2McsLpc(ZFiXI3OKl^Q#`IQd~`QR:"tsk~K}D 3B11Kv }{7B_^.RηWw HRl0WqR1ʫHC02YS;>9iX|IxdBN0^2ʻouHQʮv0Q: WCޑfoe[Ϟa/oFκ@{ဎKC'{N PQP(R*Yy]A}0Hﷶjx]Tp,x #CpBL@mi[ |ao|&gn۳Deo}?֍g&0}uuz^@?^c"\Ih/= d}~l+Sv$izɆaon%C%ѓ:=>7er0P Q=0t59}Za==sr4#~.۲2n6":X:'-LG^` zdЊ^-~NS5K_m>.#upueYn>/n_߾}ޮZ IkA-;Ͷ<>$'t$}_WXRdcΙ!!u'dYd=3 5aoJi- B#3m8G(U܏T1x.|(fٞ RZ6:gA!T 7DG} Z0~2 3{V0yܾ{}+xfӦL9("}aJKRH=ϝAĔ ڵ6NV ^ pڿts#B`}1TOVpLh0ZWNsbUbe!|' YMi+Ϫa nAioڻzM^{N6Inu&u e!,<ʴpeJl{3G\,[R `0@Y<^G'y8@*s Xb.07q(iIu|U&sx}S9 t ƙ)So NKQ.=)Xa xGxv1m[P}z/rFZ_ɦ6cٰX:ɨgϤǠ7:.ڜ #sճ><1?xkJ[7]Cw]7*>l޼c6ĺ.y8zrqpwt]v_x0j@IDATc;bN~ZM8ow>pɆk=GwH_51pߵL0`22&q(֑{h]/ [PMDa,D_iGQ 8R}R,={mKJk%IᒯxV cfF悃@]tyU(2.f2 ̽cnŴ؍e*GG0,=;bz`47y 3X i# O1"` H c>D`{xn5/ޣ)<(Qo;64= ~F3bN_rp=Y~{ irܽ(מBDrmoi6z/fݎZ٩.l.2T[OE=hhY` `WC?~,7 :VG?QO }iYO4 z~S{ٴbɝ X{@:;K_NQ'zjd '̍Dx-}?oT(Up¿7 WZUR9 6xV4 :x'|E+S,LGNpѰZŸ|۔z?|}9Ȇ~+l3]+3ѶWW-GL~FrT'|n'GGq={ՠYp1ɢ? >,zv`P3%b6@|Ŭ)I8DQpU01h{M5MxRaR0)fڹ*j6˰L;0a'~):SgΠޏw-RK  qiVHYSg "h#0EﲴqD&s"Wydmlbf (BF6E8QYk&*a h>8֡5)m[rh|D_ԂEc'>hNu#d~g7#N| >H"dA#.|#;HĴU8F-h%XE:NPT!XƯ,PcCRSNʈwTrނF],p,''h^c/Pc`(# MmaBY͔dDGH^%h{b㘭KdKn{8Ƌf䐢F E4Z pջ4"D)̕,\R41DnVc41=g*Q{ٜ=(iœ3YT4yhF{FߐE*J,@OF/ HRdbwfja .8s*4#}"grwDo3L5Q/ABDq5'4im=ּw]mL !r4z:.{`~Az[87YǾkr4 9qV' ֫R.iS6v^w2{w'h>?xnw:o}F;w:ӮsP)K-J 0t \@Ϛekg4$ }Uys#7Rrhox`Nj;O׺AzhfxKѢk g>Ac8&l#ԟ näddmsdkrefoCҮk4@s_\+ xP[pFJהï `0L\t ~Yьdd>q{FĔ <ٸ擀h|]07=kp]ġg'9x9}vI}l"Ȋ#TdmXv|=o -O䘽W:eHPg .;9Bˁ3OtqLIou͝;E|`x*qp*5+8̯~/m%wtGiinAIKѵNaNW{ Ey.ew,{<2㏪WxR6|އ68HN7()i1n\^Rl?#~hhGBQHWi{->q>l'T~Go/ɎFhupp\WA~f $>\zS\{>ra C@;- Ϥܤ1('ðQp힗zf&ƃIgx`{ǚfSz!b)$a ,sMiMZfeΑ0c:Q Hs 8 j0\{T#DJij`?k "]xw8c23bzAp@vT7WΘgg(A,2X֚y!A9`s購Ѵ ϞH3l2*iNa2Gy 贉~C¤OP4m>f8q>ǽgdg"G}#/pG 13 #"Rgh@A[ Ç1-ՑÞHTßT!Ml)Fκ4@?&5lPӣ­5R@q{bD5ڦ)c1"%a"DS~s0>y--%dD㔦?rFpRkV^كbkO21`x7ټ`h#xP;ketE04Dš-2D=uxLЀ?&&8(wߍў[;r1xח:w2wQ[x,4C V^M VmukoG2;G|gIm_m'7xwgp_GۋGGU 2joY&#hq8EVQ LnzSGTâ5cy#l0k^c/OG6W-ReQbqy"Vafhu yS['R\4{37W/#(EIPfy$O-܌ܢcl`u )@%NqG#R"ùԖnXpܒX׮gB*zzZ:8eLl qR6ν;*G)< cgz8DhSTsyR=V*mݟcq7 TƃO'Ѱ^&B 1f}6h%aihQڠxgy`EnS3ÁR-Z$lGiL'g9>Vړ2~o(軷 s3z | q> Oج o?'^?vgh0-t0 Jg/md@wL6H"O,TtO/7^1Υ/xbp e lx.Di>X`2ޭF 'BW#3n+@[d~µw.OU?.\\T#S68Wkoowu?_}_ؾ{ѽ Got|Q힗?}?*='nO:dIͮGwNm<ZyxK/Zr^L]=ð]`UmD&1IX٢ێ矍߫wxq-5Yw?`;Wħۋ"ڛ(sk gx$8WeZWG8 1GRR= 0-C/b27x >s3mYs++2[ vew/׈77Ӟ8ǠhI+,vy^~;y"OO_ir[6>פmS s7\9?$ѯj)l2(W͋F]r&wrxrb2Rf"Se lˡx^9H9-Rd( &Jّ"3TH`ǡheL91d4'ޕRُT pdyQP9ObR6ydj oό#<f;h/#&s<ñ| x(z\x=][E62DqCp۫} qEiqtGx|@Q6S 'pyGznv ~;FN=`gb9>5:*YFM yrkc gL8=Q#q5LҥaDIcY@DZ:kqd{8zf,hpD!ç×}L'Hvɛ!z`m "70w}VFo<ҭHgn:vnzq3,>(Y8~qqW^23uԉLKiO,5„F)Q1t6yWxGVo,ⵉx*JD"Og1B\jxFbkmحє@"D6 XXZ n[=nwhjI׋)zʨQkE&e\q %/f> 0@i]Džy#̫΍hid2vR aPjB?|8LEEZg{cTdc8,,C1Q6XC;k+~C3x!ZS<"YWq4fL9h7L0NGy3Ѵ (|`D9a%AF5L}Fc_ơ??SAa8؇y%(eZ~ӽ[ 8]2A;(- 4lz~[4kw\'7k?ˢ&F0W)rmuyhщcC\sNFpjj?Jm>D5;,Chb Ie%jJ1k\e(_0{ E@%cM`fK0oil##ø5\t X9`P9wrr0dlsҴgA|D˄هW]?GVR=)oo7_&&'O}vNncP9OR틟~﷾𭜼ۭ;O됞 .[݄ L9<0y >M=n?~0 ZP޾BtÍa~~ϗ v_)t\e+^nzJ㫺%/` g/D⢥=UE/)fxΒ0y%ʌPE@3sx agRDҤPxVϪsD͵Z7A}u"tى)4q3RՐN; 贐gv{`ƥГ Qo >U?z4cu/B2 0ߐAHs ,G3Whds&aA^7G'30'v`łPwEVXHy#: GTv9&3IKvo5(Ik!PPqh8yyنhjemQszo )ǫa'bt]XՐpը8']4P4 L S<XƉp Am^)ޛH>E+C> hp{cAuJ~6j0U^ %BVØ`c[mx_Z(@Oe3_40S}T5ynқǧ@Xzt2+2G5p4xmfZ 8PDQTwp=Yq-xF;Q~СQW3 Z2r”FI4RO%c g,K4e <:fNO4\  ؇1GbI\#hOnoLVv'קyۦ7sRTzl\.['0mpOnkkcLgpnG/hzTpUFnVFveيooo m~y;OK'߾'уmNبM]>*9,wܧ]Nѵ`䰌ny2ȣHaι5?_@+Ϋ78uk;w_ߞ~pD_~+oo?o}a{QN 9M4t όzP-C;BD9{X&@@`d"׻d@ۜ:s3=(J~&R*^"cl/'EsH/57=_5z1% -73;ʙ`}r)q*[1&ʇc(-83zyW{eIh40c`cY0r 8Q cS;e>av);2sҍBS?O8k[=pڜYw/NIFWB6S'1f/jR&i|]4؀RCƮv(^_J&%ڧ";5Gtԡ$FXkȱGK1*m:|>kS4yun(_)u&xc˗(F.wԻ?N0Sߥ9BS&'6Vc0_׃11^ =08Ҧh{7xysg 8Ruk QSA9)(Hr0X_b_w³9-ղ\oo-Gvck1ze jJzY:p6` M^t# { 24ƅpGcNV`tX8 y|f3ݜ1 4ڝMcq:a,~]:,0T.`M{@r6}_eСN}MTdYTP}QSZ-u)ju>)YSROlxç?k>53F<@ ?}~)]u)9>iZq9˧eFez*pr#cvrԘ7eNvw6Q;waM yupo;|}{gsLǏ*%h?mbcQij=O'&C͂XyvOle8|6گk5U~W^SCCV-F9+|`}If1v0\c|G#lm^B7}^]Qc[՝AܢOg$sbA8@%*v&Kƨsܵ@oqVP2m:@ZIJw2LOs*o{'ml&bu$׽C!1<][⼕V +7g~{ْۛonaeB ジǺ8s696Q֏_{&BS_'ۍ2 \o>o>{g—~omc{hY'zOL M0 L7'܍#e?5F$7/0X7 01 NC'ҭ6c$axEfѵC(kI%cbtr͖CWE/]Q!q(voJD_ 81MNવ}Hg,-#Q׮b9Pi/-5H &{7#Gr.(jqyz I?MƠ(FշojGa/:PT ^|LгΜ&P4;mylc DYٚ%3wcš8|1Fg>^U^鞱S1qz"cv b߆po |YQQ؃ }) m)sYOqLoIG[{Ɵ=cps*urh˚.]i<2AƱ٧ q1%<dd2/WqRUv^{exLil+C)`+ ]xd@6bv} Nkxx&>1N-˸1*3!7@4e@рD,_Y@^kĴ3 Ch/q-N8Lq~{fe-{z ~doX;Eljqbh9SNZ)(=.Ddiz::N6{kw }W89N{xB=gKQ}W\w./Z{A&ûE|"M~8 Oƶ=?97ddKsGrן ,>-V=έp[ 9-whGѻqT_!;s@# >UOc3q2GpF5=|d W?6?5!n^,' WX4Qf8_7z*Kԕ3 g!, jZܶŤD`]c(JEp/"{ (WY,s!C59PPnQ!G'S:%od*[j yqD3VS5efIX]xd-$3=SՃ-gvËOf'_p /Q­ UI{_/yYd1g 'D9EA{M(80SI9(b y\И{-ܭqμOh} w*<}>"|N=6)fOxB͌&+=`dt8+hmETJ0&Hnp$&#SJt)c26f0E}m0 G( v ็91:SU _]F37%t;-pxTЅ?%B}[! xGz;ΎSTEg"$D6VNК&2=8bl{"p;E8 p;UFPРX6ڂn>}<4# LME12x.dL ~]dFU#0AX2Wb˙I<5UOzLQ[%C'MZwaO (>n^JKM]^erS_P0s1;z?m8Zvm2 Sx?/责wvEpczExw!j`:mFߎs. 4ѭaN~  ̂ n6'i 3'r?^G د:_٫oNϲ-ln+XˬlђuRtܜGZ{R3 Y^Ц7#}1FCk^xÈHyHQasKN[8{'yC<[WO?ߘ}Y'V$JӌY}Y&#DD3xݢ .F-=S<7<{ůHO9zQ[ |at9i50{o^xX%2Tks17=ѧ4Qs-8׵՟"(ov뎂u+̚`߯oGZ&4XOE[ajKi3ueh-Sa~v#T~ 1xvcQLq^%ˊ K-7LoGcz{h,X 9xqO)wXbԚ^um E j  `qNR듙pmd)QȜ]i,;3fNėL%ovw` k.޼ζ%q5)$Cl<|W Gv+I X0TPב/.:156-$.*?oS 1f<. (C2L3XkqWa$OϬt/a6ݍ΃<~ȓcc;#l0?Վ{h40a ?E3mi?G|C=!ȌW;Mc9gwOBԌwN[5n kx R佄f2C3dژvuYhf Aqۍ48[CcW`wv˜%l㽂x먳d8.sp['T8Z2llؕ# P'p?~8^ySx͂7Rwoݞm6t^O^29!2J{3X>xJ6ex>IiuKM}/oMϞ~pnNrv9 Tx=~W* L^m&p͝F@y'}ަm TDyP|VԦw"^9Xĥ *SthJrYe@DC 4ŒtS- jc O2b*ooߏVnFz.(h fƀcDP #yœ*H)Õ1U,S#C (ʁ?͏V)Q~y ܽM1Q$}}?b''uy rm2d1Zc35!7c뿧%˰W 5!9~8 XƓ}j7 &k:bA7_ً9"Y/ F1>HQw^ kK|2++ٵ`e)VMIYq:{5ȥktgYOb:N h9KQSſx՟ɓܩC:\ն!ֈka䂇qѽL_}{e%E%]2AC0tU[S Z[Qcn<|(њ[pn5\{vj.wnUɑ)yLQp':^L^gIbT"v0=p̀9 ]8GǷ+*dׯqǟdцD6X) 5uےî;3 ,"07+{__t'~B#]w`3[?UW gDk_S,x1lUS3*[GBN /[Pqß*жϞhY`ϧ׾=_ 61ruH⶞@N*X_#RbPYϜ"87{%ke=B.Y΃cgw=#K[cq1Wd6fN3gzOwp_ M?"iXd:egN%,D30_ټ{}q֡-E)+<{ԹS9-..{.+cz_@%!/z!nL;S\:甈DmS р&Yo̱K>ߵx p߂)3c,d^: D/F$~υ3nL21O~^xl{ۃ{?z7]k`DpZϔyZ{`RuS_WF/7܅wc>KcJypKߞ}:=qZFovjz8mY^Amˎmb*L9F4;ÏηOv#X莙Jn.k{Nw3.u 2 D7z@*¯S^QSs "+H8;u6{=Oi4wUhy)/B'Po?e3T]8#'Rj$ p 2!i:"븟OSO$@H>C᳜ =Z(7uԳHQ_]b3U;2"p&,yjmf2Hao+;u}1FQ=|`+c/UY`%Lv ׹m9cQbBL3]bA|I0}5*-ʅ@UC`$r?~$z8^U ѤhlD(y ōl2e" N[4IXq?R[ɘ^zc݉ng-w f##BInQ^b` r9/+&3#hR0v4+zWN6p0cOg1~vܒxpحt \id}ꂠ >&һ9:hʴ}@hZb}v1sI5@zr}Yx)&`}&=OGDyz[MAYEl頷@1){Ҋ[0c%rrBoMNGّ? C>OَҴ!*qhʿ]vV Ydl\5?+GozЦh8m$:Ј6"iU -ͻjX$y!fTYHWZFǍ!2vxT Dg6mdNscRч:/my)ݜ>IFtt9Q[ ġzy06A(d ݶ>,-\#+2  n0Ơ2f/<%H)oCSt#ErQ5yy B}UA89#g HўqmIWFof6 :ئst2(ΣB ]gsv]N1Ûexh&ܹ5p!'fa %eZaiRtg5 ,0`x_(-~"_ DvoCJXAX zhFF7m{Yh3Z_ ~kc8'CoIi*+v  l(-d@ dx}7e&ƩW[l0 i%3'q،M .BL0Ơedb(`xjȽnw9U;@& M>(eʹq==gʑ3,h'1\/1~녾Kz۱ EMu cj[Fꓘv7aep@dgym8ˈ@CVVõ6:S3Y[pi?&cWѡ3nO2zoa]\+Ģ3'_qTu8pg\'̞LXfǸ}ν}& |qx?ԏMWkyL>`vYY<r$0t,oWO3}¬ ،wA՗Fydط]qXkϻr-21o斏a&a?PRi'xoY<٪6b@k.x".e1p^ DZiEߍe".򙥒1`ܚ?K.R^{[ˤ_ݎ^]>jRCp p%8/M,Q6Apb6 pqOzfEag?9õgHLe1 `ݰxk/x2j@y<) wXN+t{ޣҔ3Ξ^}3 b@㺞'P[ =# ғYFۅKW2)>6'a2;}7m"H=1~d|{W5`#;n*dSSEɖ3˫qHN wa)d\IX) M(~pG}w/= J?钘 Y}_g8w@~.I,i:_ѿq܊"^./(/c3檖&M)Rbƈ 0"tDT+1/w,é!,uջjgu?f21i mUJj>f>ыeL`@w8Dy-^N]7Ĥ67썾_79= *FT $ƌyཥ_#u[0|՞66q(L,U|rpQ@/齻e*V<I 剆{=UgEp(teh1cCc$QFJ qe4unB6J;*''QO8Ę }7#Mi }޶rtxS.nʫ{.-zn^d`][MEO/ wpj@S S 9mI:̛Icj;o);M}w?8}(X[yCDE ]Z<͑pmtVya7tA,0˜l3uO)*S֠ed!nA ^NMWh<pu@ϧ?.[4pݒE|t ?Հ* 6Uli@1d Bq {]'\JIU;|#eQ6SۭU~Y-6iC9.XbHֈޯ_a}`CQV D*qPHr 2P"}ۊޔ(^dG*WhcQ +:Q '~2 SIyY}UZYm֑Dmw&v/8gBdϘUh"9Mf uLV(7 r\W9[vUeLEi;m'yjZHI١t s2EM(pQ1lmRnXsTCД.m#Y[42!FO>*A;} >۴bd^.Ȏ=)r G⫩ݫڦL.;X =S3vx.z<ڈtH䊅X2vAh(Uǯh#m,ӳ5_mw${gD>}׿$pXwF`s>?ӧ~k=pz˴ȍ"G_zo>6D,4(?so 8  kIy6YF<S7ƝTr ڡv\Rc q/aby=83$D"C[IK.jzA*.L-ד2L*Eu ,py#|pPgti)_XcNK0r8g7~^}8~=NLUmp<{}G1uz pPm5 {kN[hxyƶrx<i<`y?BpU aûhwyy)N2P.=Msf(s'wΖao2zqyxz_jr^{wE?&%}o z...*d|ds.q74kٟƝshxWV_Gc߁s@N/jGj.?֮ /9 Xy?=|"i+`w_*$㙇1'l𜾆2% 0{slbX~G!*}*eY} ʼ򄢣[ ys ?23r8m3^8=o߉?Cz=7ؘ~b*t Ƽ\6WI@/}&A%=iՇO=}䓏Ih*mf >ӟ|!@+)VQ;j_HH&[vhR+.[Mv>@FVv~8)MmIB5ÈH<oŠ"7ݾj*Gۯ4 &ZT]WhKkA4H`9ҠM"``>> ) EkMSE,вmg9P΃F`el4fv{,Jm>cb7 ; !p㷖xpγ>|^gie_(yx~/5 Pf];AQSK:M6YZ*6mByԔ"N/Y c`T"8`t".ިhy;mО#.D\xflHl߁gĖ厝ܲ6q&چWKe~i4M\H5^p>0f.ԑҫ.쳧96q,7&8] 1"zQ_♪pу)e1nUQx;Ct'EEXNDD8ťO Lq`ID?slu*p–xz}W㡄W/QDy%#ʒP8#Yp]x'1" F%ܽn2΢`=pb~%_L,E-oxB)Αy#ԯmewm2vjAJ휃zi Arg`F8,V\WkG/FAmo^|wE߷v8/]xR7[aQ?Z5&nUR0&")kzO9QK[5zhv_8+2 go-=dP[sT5y32@Y')es=4#)us*`9V:(6x_;Jz4GeV!J0}^-Nǁ>k]=G O Ͼ~?mJpۏr\Exȹ }pe_[@ l`]G;kOo]=~*]#o>32i6@"px( ~#,clXr˂R[z5,icM1}&eX8'y- $87F!؛?N?~[ eLxt?2eh4zW"AR)Ӽws01D h #6;TYU%<'J!#\Ǽ6(YCTBw]5 *#xs0(pZλ&z@EK3Q8}ںQi%N9 P‹PƭBtgY6^+,|@AiE8~0WW#ڂom s[wVFDΔl lE U1TtfBI(;mHID iu SzE7TMlj!Ј QUO\!iw3 DYdBGlH{ЈgADVh/i-4kT!'2g;㎇11c WqP8 qw!2:!'u0>i_#{sm0 >z>K@m&)Y=/2Vc O4mdFUka=FWn)VeWa%u6n2ȁ+axl3E+W9tvBpSGw!"b0&w˴|t6pWzRsλt?}*~8 25>ړ]Nhr0P;o¯,3?ΰ<T'XklOX 7>fZF+,lz*jg krp 2x+rƫUhC&YXɠg8+ذIvT%iVCʏ/0*Tx.|Bm `;}YPOǖ[[\U+mMgJ?SXRoou Ĥm[dXL xb,qm F8)A  wx؄MQ.R ^{^~_fEfwp05M1k| ̷d/^?2 vxvޑJ͜brg,܅Ϥ2 M#37 7 3Κ c4)j*"}ۦi[D19Sgt1RAeu#D7[z=R۽QNRu.~kjJ+7j6lIXϱ { {5e NیV3srFy*I`JV{Jρ xR4a|qnѣ{1 wX>I/R.c_۹1> XiHF@6pHNt7>C8w-oT=v%$S\ Mc? 2 +}+.^ܔU1"EtC44^UtKtow-EMCP*(jU(3 .P1=~bl7j n<[z?9!#vWl}ՁOco>{|c`Z#>sZ OmBd-'lW3}C>`.y`h`UpHb#p1%^:>( >N-@ѻ-44Bp7Yޖ׋Z"CRV3L 6[ j m|mF13ҾꠑpҘ[4}gDS{ nQupvp%.^^[^׏څ8Ds&*iH~*T`3ҢeZV7B?7mo?L)chCJ-[ٴeh2,8' ؚ5=L0JS2<^삩CrR&XfZkvQ*>85<^r\qV+xT)"2&͵  Y-s>z45#@)+>cU}P'(;PW![8x1/k1F}0~)Cm{dSj^‘UvdfŸ:9ݚZ"w~ݜM7jzÖRj ͦ9({#oXXD`ߏvGeٱI9\>٧AފHFCtCǹ15o^+o8 [߮X.l ˱Cd-N#>Y %,_9p )h5ǧGէ vN}% ~Yum zei\lc.8n*~.G]B/VU34x5a1]s ^gszGfk:oΎ7/|?~ч&o7U:`6f<)7p)ҍu,L){D߷,- c1Ct *|9R7Rl"b)[cn=z`ߎx9WsMP.rNƑ9;F|6yF\yH,pD4>7ڡR2<~Czc֕we0 uOB$&l"JM4\WN{؈mqܾ+ʳYgXvY $o)y-0>1\|W>3_XY]<8Ȇ`|ڲJKi3%('KA@9<+R 8}C Jڦ(9 P[ o쌃j-Wcsphˁ]dڝQ] U ol8N÷fͦʬR`ln2:.c-5߬ ]Po5/3%}o]AmixxXrQe0\uϿ/E@q%b\ 8ԐƻFwSz)-\BaOj1vi;n Cy1'jLQQs9*,`]Px\]r`?z.hk#WƳCF 6`,!txkmWyzG9Ce2> hDץ}NG8i3NT?{gg%/yA#&_T;E8id̐voʞXj\k?BbV9HC.~_g7#LA>ׇ˸ <诞j[] [?}^#ct]bsC^cAԥ`a<{oDMلdqZ(A?_;ډ/6O/t3(%3l,EuFiwu ˏcpbeT ClӶ'K;/f">U)?RbMf8ѻz`8Z1s}dp,b{)n`JAFmBQ9-?9#DyzA)yNp AKۿz ҕ) IҔ7.XS^6Y/q,8@ 4ed`ZBӘX\mI^)ҘQ4Et "Úޔ;%a8~IrH>G1]Ď! KW 1 &8mJxelqEbif<4`"ۑ厇ώ0z6!o+lNԜ;.Sspj-q>=CR~j9r*9~LSov͑}dkug1lr w [RI[~3@ݏ$&NhqcPCMk/_@ ?.ݳvS=~MrF[]ȶz977DR＋GtD8#4*/#e#׆M+*edasoi`@%eƏiB?FHqw.k4O婻ʝi'g`0YnyF(^ I쵅6۴zݻ 7)>+~f#811e'iᠽHGZFDs+pǮ4t萍 6s@ڨQLN?=h>jeA]z195.Y2:.EH?ke$BmY# 6?{z񇧗9Wm~lj!vz9wEy_Bgbw)Ҙ# 1 hoi_ڂ7"N&~Fb{c}nzWO KKY#]Ԉl )#J" E3 CS cG2TD7k`"{7W1:R|᥌S4E2# B%߾4CJ #TSq'gUJe=/v=l?g(\|R֝ptzg4n0c+hw'bϝ5#rӝ́ɲ7 $(x}3|VPFYȄ)uKhP96Hl-N$.{6b )lӋ i;edӇŃQML7g$AϑIj,8yE=yG'ɭ0,$F,ĵ>ު:LZ|/ڢrzsR8;ߤ~i%?@ S {17"'mk,w!_+ӕȦQN7,N١# BE I N7mjoN1fъns̩xA? {ij ]<6#܌֍/i%mϓ؜4y{ez&DQp_ɶm\=yeBj߁i>UH)ݮ SmC 2l|E΃8zr"#W΀xbnn9==!ʽ.$^gmtz{˥ 9=l?ڽ>1cdP;XPؔa}'UwϒÀ upxU3e{#;ipvb6 ~tS 1GĸvYpɈ>YlWyE9l ?иmF*nvvmxu"u)[s !=uxF=څ?1emEӚU}pi$X,h_ړwg'G({c- !<{Y&(*(-=X$WylD`PLsMʉ `Еy]1pFێ}YuYA'0%Xb˖+ShzH4g}6oy/K֤?k'%{38"SXUc4\H7~@ Y1~ծOCnmp=O]^~ډ|UK2^暮\o_|9giscOsVLc!6=mcvs0ӳmᆃej1_& @IDAT2p^m`QD1߉(m7Eѱe/08慪uUe҂9Êѱ(,[jNaߨ ?g/qDw=oiV ]UZs@Gg Of,>Dj5Qx/k iz,V\ȱg(]lEKߡ4'6b]ub2V}wSa(eC1M ȚqJ՞0p-Wws: kXoY<͉^{hba!`!W=Ѓ,HZ?[ۖ0%6IE=웂~ r5`m>?Y 8|y|ٵ.[Mq0Ҹ` [3l4Ydu&P=Uyqp`n7s_|Spz2ת92n^B!s=h(w\Rc;E~?1O]I6sd6͕q7miYC_:,\%>^7g'Mt:=|~GU'`=#OAUmUOk}[ lEjٶ <;ξ,S,Wً Dݽ/ cwx5?8{ɫ'48'59 h4~ͽ)/k?~9ǖ+r?kqNoڞRLd|"ĞfKrmbXx:@B$oHJ1v2lQ /:ijwk[a6Ů V,X1z~6 TE막(d) .n2кzYUcf`)q`x٘"@TV S`v:?l"D`chbzñe|( Lﳼ˗r ԁ37Ifࣗ޽^u*EH<4QCRr9r924n^0ʙC#z+<1.\)jiqTeZ-m)mXZ3Q_d:rF =OiV>2$9FZ;1qtP", 'tp<ɀ B JR|Xkt"-Mr)yQ7T$9ӵuz+i"JXbe_Lٝ0*/ (WԫW2)ov=/ɖs3%k vq!FǘfߖAA 2xڝLxq-c[v~Ǣ)j[sRv"މez ohY&v;x8/bsDӶYsB$:ݪ z xБ#msMiPH# I9Z꙳q ѹ`W0F{"#N*xZݻDg(P1`RzsɌh15UƂc;gن%'?B@o.Hb ;#@)lGo6%P|υGmi$ؐwe^w26)xƳ<_}J{'#񷇂 wk˶ڽ.fK.;i_~^dU*+#)r)0}cLV=8¾1$h"Vct ^Z xetV GIF`gm[S@w_ſϸ}|>;Qu$ 0y(˻ xDR ՖR Ù!2 V2 wDZT-Jqc|ri>(`V ,:SgJ>~)o]Oɻ= (7"b! JvJgMZyܢIt,T1 p->3ͨlXk5"gO`uX{Ln CL=惆}Qf{7.7IhކSWznJR؞6V"wY)u/b^~ Ȣ.Z w}%nj|d7]#ol]\ 3[( p 0m92HZ57r<7-0+{C_ȔV/Nbh86[#_Ct eeXid™BC\cNSOz՞U&r$(L.zewŞ]Q'6S>RyzP69Ʒ1 Iދ=ɘ>!P1BlZz:S?eÞ}9;OA[مhݷʳ數C̜U ])%ۛ]X ^62*q~ _UD+{̱_dަZ;޼ۊV@t?]s3[En- lV4q2`K 8_cCwbG zҲ9++\Y@1J,PVU/q B;r3ǁˤ+>m\fcőwb=f+="x[Fcbj䭜=-T|g}W ۠_A~Eņ5~APx;XD~LڲGx#;҃9G饠aq1C],lҔK:ۓ:}MAqSƑǒ݅tg.jFMɀuMqdP!N-! 8 ;, վ?}?㧫 Twycc{3U/>&ݿ} >i:$;8Оe^xR&!gj@ 72_<ˀUkB=M¦Z3~饼^h|T>owO=H7 ѻڋΨyWѷRBJ|ÖSzD_HZwH.BINh+#8p͡-=Hyi}s!7 H4"(T!к~vxB10k1h@>/~޼=] >Z Xo#+bQ74gFP QhYkXN5:wo/$2L$9gm^?V{<}et- ׆=?|:9&7>~;`ߍM;>m?^N($lM~l)Y6q$ptw;+wW7ijz?>zKM۝;U%`cW.7EWO_R?O6lWA@ŊW\|ud  S w۳7ٖ˚# =ĈLU>n~x O6rَ/គo| xD]+x8/C&CܫKNYj^rXJ>g mh5j=67`3)9Ĝ j''x]B"-v13Gtb('WUFj²=ќ¸YՐHNBQtqqDLtA`~xY!EwXS9B-_W0r[/[i{p9(/N9*s/3[ 9;z`\bI y-&^U}ࠌ x-Ruչoh)X(؋lģA#ljb-(<cspPt[=Kf7l@S{.ezg^bCP҆,•ȜL XՐ ,3Q)ml@`ɕgM3J3@8dIb%k\mmG)mS[胬#姮GFA:wcſWxvF|y)w}i?>#uPkoRt@2l 'I&)f(#+M{*pXh9ۻ05MEp)F}񼖌!1j5Nj.{gBk4-?q!N Q;RVomE x/\gz!Cb̋Y>^`/UsF? 'mƗrĪc.XUhaki͑O&E*ݥ&wDEv&vsAᬶi)C1 ޮ2 mYϞ!'MNMe8 %ʡ{ޖOg-3Ipd<x隳) VLodGPA[^]_)jg<lֲQ{ٛVNu CޫOgj6* M)8X[6\˟~h;g^_~&b7?s}ˆ_Vx:m?o#L^dXKuR_S(iޭHA='&^R R\3EܷۄgYy=98(L]@wiE!0yU0F%W&](}}ts|yUz?΃jxFE3,q-SZӇPEפ9'[Ϟ-u&bcTF&pe<|N/N~QR GgGAK9h{K=xBC p+䳜} Dz+K9e'3c4cd:w&0- V=@%ST=7*Yջ9gh NRS__Z"1i3r,c!p#K X: d *E䊓!8k;:q~L8K!(GBl {[E4Ag's.ZCvtsmypPFVaieQ~T4F |JhEa7<$n/\Ugb`0c2dM\YќcD ܇e a=ą-;ڡ_V6p45wOrT7}3ӟ5 Uz!w88ق0EN  -_Jر>lNN,0 gK7g>y-!CMU30Om4_| .ۍ6عy4nfګ{㟆.Ӹ.>h %# ,W[VDO?~+#WHoזL Cjҟ;/j\3^|K+zg{qn;qz1^`&Bq5Om {:k=n<,L(C2}_pNE~~h"ݣxyLo+F'ED(.jt 8e*ʘNgḬB^ 蝛gUɖ78Y(`8-NVlh>.`zB&P p7Ͽ_Tg{Kcŀ kA[7"b[]D/KퟥlK=!k?׬hkO7+$^F܋pz#ʃާRֳqK=Y˲(YicQrpMxb sA\]UE:"]#~|^1 !GO](‚#=WS#Զ&102C6#BXWWP;u5C;/-"a(r4b՛9Y 8$uu[)K,!vkͭj4?sh92ceǗEys.} 41EtOR fl4{pR ZL`)<`zF聤1uæ.SoeldfWE# lP3Y_ǫP>YSf86+"8喝W`P㲴$#; GlŃ&@NlmF̓u-8^+)(JomE9^ Ԙ8YT?Bm8) "l aT`S3J)4`j_F k HA~3jNW1}2RcyCcpY=t5zFo\g'4^G6]59tysѥ.4UtNfKsn$n s`H7FY/d6d$y-=EHf$1%tdUWC~|Gx F4ÅglnlNV~8[sb0c7&Y3cx [rm1I`z!!S!Gx{Aw)8!^n틆mA+vc{%9D]Mzv웥͝hC[O~Go~W7~!݃24P'>utuMv 4GhUGYv?G"elY<Է4n\& orx~gODx o^Tc<>}qJ`  A*,mc$׉`f4U#j%>KD)oOl* "m}:n# agyZ J_uҰayqt{م +*zk6!/J=k"H{:a7%$=hg*Ѝ}{SDqX[$B{ d/GMh\Uzyz`ofDR۝(zpЪ㟲h>C%gMM("}U2WDXq Q<& 5-9{\@6]iFV) m$*Bj~sFMMy9 jtKp-%v٦`sH}>t! W] L;uA B `'0+_DNu~638LVs\M8D~]"uV|c0e!NSNxūoKmޭv>fOo81%@&)NsU۵p5yvȚQއE%C&ǀx>̴W8L7%ÛZxһ=Tw{\E2gb g564aHW\\%yq1n}09K뎗Jh<6 uDQ )$;Ǧ π.e'B\6n@#oc]>]EZGDɆhhM-w1⡶_ BO+qG߃ zo23OK/ TͲWp~a2ij[jxWO_xO?|sYDNߦ %P'3flx1RN- yz U3|JiY 0 ?rz}iKS7+w$-ED:o'qYx 1ǎĊFtQT)slByPm1TW [jvF\Ahf=^'%&g`ŒR*E+{ϫ:S6!tvi3o/&0'&\<d5z{ǰv!4 AHh(}&!1K*oo N%tauBxuc>: ^<\j>IDB0фbt_oV9#)Uox -R;ONHpg{+VYsY֛;Rg۳ˑ|ٙUc"Eһ %r/]Z=`F# k"khuLBy~$`U38SCEX(;# =JC=_S.ahG20f,5|5dXf0IP+f=Ϋ@G8\/@kO Lͧ8 !qW{ @e+}1f:c8Ç~a` YAWvu6y0tirb&wAhu~Kt1BpH)i PtKC~uXj~o5wduqp o/: xRg*\BSw-<7AKtd8|ϛܳyga6Ơ:(gGsLYߢ_F(㟮a6 ҳS"]:ǛM67$8;}ǣY@smks87؂Kӄ!ytu?_ß'qHmE5-Qnلmseu?Fmٍ  ur~їc?Mfocxuy&6/xnk9]j?6+l[҆W;OgGӈf~^AG兀M>N{gٸ)jO\p*Ph2dHͼoפJcq-:W2{VjfTVWt[!uAK[_#NO%19P T^(k ּKLKS?|FEO"ݲ"RKYa E񊥋_|hU H.kݜODSxQҾY olmLf (\a)&  % kr MweQaxX(hX7xE Q/ 8ٸn%Nm WBd-dFߜ08kuqR׾Qp/y憻F qd.cuL_1m jxzk#Ͷ׻s6~nM{12j>.pK;ьAsv~&̽&x32!ەt¦_+dw2Ŗb'=`H[^=]Z/" Оh<)jmgЗ0(EG297:G#'ˮYE9Mdӛk ~ ,-ldFxh .C4z﫤*<7]?ڨ ~(y.~L;]+u%ZEae.}Jw'+x"2W9|?ڳ _Wf齞އ蟝>ӧ?NO~P|xh3ҸM^#^!_LS!tZZ9p]vx/~׾QQM]D@lu'~ æ+1&ǭscuz)FՍ "J4Cf@cK077 G}sQ_#\PSLd̬"K;n~TൻSq) .}»D~=MwL4P/ؤq>m%E&*~ؼ~Fs )SW[ n!n ZZo pդJf9҉ &XxeX41cL`#jL+N;Oe"‰,"g+gHygM'>W0d#ʃd>}23Y_ڴ"/^,e<}l<Gl.B-KdswE*Mקt#Y>02g*f9,v~㔶[{XD8*x+eN^%ꉢl)},a8s"n^N0܅"?xm#$r)G<'U$X19:::kA1X@Li0o CmSZx#L. wj20&F%x=Wcծ^},;#$q({7_^)[*FYr fYed p/Sbo"^+8D~Jq?>zS>wLLιϘ?Rpe#CMdYcLIգDekIQo#FAgSo(F xY畨 O8&ktW!M8ƽEK3e4b:Kלg`SI@+ƍt>˧mBt >ݛ"F,؛Y/o`FwL9V "oK`-C,c.'y2Lz8w;FQ~-F2_vv=jD@Ӆ }3}XSGN?_:zY'U`i{J͎x cb6OuF`lgkv6q::ç1Ԙ &/)žUr+8D[..J^mUSb2s>80ۺl{X_RV܋ab 1"U(Arޝ E]_m`Rf~a> eTxi_ȼ=WƂhyy;@@n^p;RuM^s޼mCjp_6 cÙ]yH:MLb/9E2"J Kmì,a鳱*1 /XQv|kd "`rx]5C%WԺF/vr\,ŧjIu1 F6 #5IB}%|& 샩[.} \H9S-TZ?A9~. =LE=\l8"KSJp@H9n mc󃺵v)w.Xo>`+ؒ|Z&R/%O/76d'̰6㇨ / isŕy'79G2P5Eٯ[z_USnwMgrD\DH\ !q.CA\%2QDIHL8mvO5~}UɮZzYZ:u5sJS׼^Џ5ޱ_8zF3O|eOmXϦ\J`:ϛx3ZÿbAKq95?EߵhzED1^hG.O4W"ĝ,Z `4kq+dmjNn  N}M%5 ea Ȳ+ѡ疑 n?0>;4ۭ86m*- ^؟JgsE1i_u^7Y)lfrnzbOFĖ7>/?|͛+b@HG(`ܚx$]=\*Ҵ:Yy@ZHgegj$g 8RHݯykl J=0D>:X _)Y˙+*%f om>oD-6 |:)0}F9vwYZ>vUF%w!f\.s~xto`?շ4bԭn~ӳOd=`^_P$2幬^pEoމ|n]~+[F=ƿڅ`b_.\Եj^-3-q`=`ΨǂÓ@Ui@ֱ͍/v+fw2ԕ Ȗ4.4긨yzgm.!(Wps>4qnҬx[C XVXB׀z|,Pdɔ`-u!eFBEES &_dVvC$mQ.CP1w9'JB=u0e].Ǐ| *Ͽ;gwUDzUROS0L)o7 S6' b1i]KҊ)yN"<{<܄wi"4(_F+p=N|rHtRcv"L ι ̓F0uS)(ڐ>h L͐^2o\rcp2t=~Q_?}xi%Ru2"4wl ˼̨0&=ru01cBNf/5a4EX&a;]*m/Hqm寇OfE17g疍@3qhԌ˦n ]{ D՞M@}ctH)dlV'93q*Su'9cf(( #(tpAB'8t^iWM_r7o<Z'2eVLV"(Me8"rN+^f́")g#`.#V]/G7AݜuިkMKۀC]Gsr4R\"C[{1JsJ?Q|OÞYZ~ˠv>5%phm.Ngǽ ~/|168eF6]6+2Frg4j9OBq@⑭w8 %^_~( əz~ͷeqcsW-s8Ny`#ΊO|PiUEᶺ?'~^vcj|wd+7SPaGz0uP6 L481%bNJtAHQP@lx{cש^K@t-YMT}Cx0'\4)QZRWĒdxE/3xNvCT(mJ&쓎k!w f]4'cLCIN/PvR2ډcc6:*"E4aewQriW=䯪o jvƶ.:*=6ZV?G I+*cn9ؠ o{ge瞜!1F<3@+5AqmmmU(2Ǚ x$t^"x6: e8dD?gNPc&XظqA*xpY8N>O7U~'!#ϑt߲hMK}Y'oS{,ew_ZAj2sS#N}k5)є4.ڛCtOWz 1xuMl~}Nmˊ$ʪYEu]/Vs w4ۭn6[Bx]|2پ,0c; w-wdCEey:D_ИCR!7U+2 y7\Ȫ+G@Ehг< C{$e%@2KَlxnPtKp1v1=O|#)Bz:}igE. hfjY1CȣV藠؛s @п*M"|JVP$L}jvM{ݎW/ZN~< vgR߈-B}Bj'<Ԇ{=OQ}20@tfl5j>N<ٞ؜,[ _Uq)h,G8θ8#c(OR* ul38.8ƣJ1`G7rԃDPp(`Mb?mUq@R!QaЋz39-}Y4E|cMmxYk,[=P kX3* 'dlu > ksY;ooqQ~ܥW2Ksh4fwwO t) Y#:VE^C/諴&ʁ$2d:)5 [YœG*qTabD$Anj`BpӻUb8 ZsA.`궳 UOmG3>T6^[EОn~b }XRV$ġ9"eMCʵȝ3@&<*#0a1-M̈́>s]Na yVkڠG1= M_$7e'2$2ed mlĜ~x+/Nvj`J9۸ȊuomQG("(DDY NMFrI9"}_V kzyB}]79;ZChQі)p}ԦH} ])%J@/%1#:u 0;kH?<1tୢ 2+r0cT{Mr>hA'H8[8?cԯnIsc=EzD[;B/yѷ>a,/8¨tLd)4hzhNMA~%ga/CS"?KP"@ʘ.0$S/SR{ m[m 3wS?dzFzjw2U xbP )*I5LحO|h0pq`%7]pzƷu)+j:gS*g`6;xU}E壎rП6_}?@UP'ȋNWS:e./>$U(s_yLBx7'+ cw]&iKdqģd^-лe,ӆrwPYf w~P^`7NwAfeu&{}O,=~j>O >z#,O|0^?ZXC}|Ļ"1SLKs@1 eˆA b8$Тl.zG*6/"znmy:vHn4ы Ȁдƒ9g1@ae/8I|s»0*81^d(fK?U֟{MKpAQ)EG'D;~.g$9h2s)"F'Nfq+&Vji"hqĎs8ʐpOxA!0f ޕ , 1yt048 ^pZ,ZP8xKFHto{70K +(#M8**4pt]t8=V e0ᜩ8pmE?o7{dVJ8pD/蹸m>2{5x/Q֛hwce6'9O t1ɠSȑƒ2%0+;7xO$ϊڗU cNaO7}}9ӐoJ>}-IoY2UȠϔ+gTO_KoJJ d7i;,68hr!S [ڋz/1L$võ"?8_~:G 癱r{N,N7 S s˖kg ab##"exN{37@Pǫ!{1#r,7!sJ lEY3L^ݛE^( I +DwvZ貥ہd#ѭ/S:^}1Q3ivsn{S*oW=Yt qC?-Ev@]s&9{6 M(h1^lҥ^ٰ>+{8xc,HG;vnj$z=l2|nk^Ykfmp0g ܻW&W~잚ۈ" -9:Tʧ^~?2~^dJ` GuSda=1r/ 魛6*8OcEQNwDqYa3¥0;CB*w_ d)EzY"|ߺ^"2ԔR1+7d\jE.ahD= ?\i/C/] KVS:22{#;7G{!r'䘉Ycq;\YS!t(-qP8Z}TD4+m[,[!S# mO J|s*~ u֟hBY67'mibN i,wka;+A_$d`S(İZ+tBxR$FƼ;oVĠFߡϹ]TUFjV|$Av"h1r+2LO`kzX_[>z&`~$FxESa$nF}qكF6''xZc@~dYy5\뿽`Њ!["[)tL~ڕ7ߗQ{w⹲ݣ̈ȷD~GC2{W9Њਝpď9>'d*STV·Kc+h;o|DJqoh k!WV9%|_y[w{~,3rG1OnejhQMvh3L(o99)6'(Jޒvm P\ᶫ^4h\RB(tL5&{Nj"SWãMX}Ƣ!?šMل?8#ٖm|FWCx_ǎkYoiҥ @Ȏ8T` 6A ` pԘ}OԖԘYيh6>kg/"nDEM6%_ƪښ&^W1"$+t@M}y?c'~23|  :,}Ԏ1G!3l$ޜgT]81 y;2'z8\2Tϑs㧃 0 glaoM!3 ;4=-"iyt~ik[HS h4[c1 ӥ W,1"VO j |qw3^m&#;k550yWa&F~ӝw?;颔Po{|c mf ~_B%5 ن9q؜?)zog I²S4[,ٍЧ^Lq'_"<\o7N-yJ.[ai#!: 5:Sp0eJ^XSt2:ާVJF&)6u ۵W1n#~]pp4ƿue 6x0Yo|&6M֢( =}Aɞڒo|*|Ƈ;S(DW쉂14eR"ܧں":p(E>܋ɮɊs"5xOsN̕ߋXԤqlALap׵dN\[5[K;oy?'XeB2JxG9)<ƊΌz&AJ_oJw,Q_Ik wq`me:hsK祋ҕg=?\YC:G1-DdƂu߷eĸ{[BؽQM;{3Y<֝dGzAnӅ2ſ+h\:^cl7lXDxer( `woX ԏor'_d2(X{ J$kE?AN:$4G9Prn},]mtrK4M ߚ{يu ᬬ?=oǭ4<2L쬮7 /g1R@. 8Qr]Lp_(A8 e|{Ř* 8R7]WMV[["K oUƇJX˳n~w`kTvxN)|%kLſ PۛÄ}R4LE30(kK޻O_/w\d3L\Weo;9-eA[>N^Ev0==Op(VjlbIQ4@(hLi 6hfQG37 "F@+=mO j0gGB3,1ǃj1dlR`j^(Ac$2ea;E&82t޻h[SVʝ敱Irr}œPØa'("1ni\> lZ>ÒA: ypMqq1G VG/K,u®aN)DPRxDnK곱* \`ᕊ Fĝ2f2m:hQGAWj܆Hqł˜`3'<`)cE1húk0Q(4dU\3(@_6nY[ʲ)mMi2#v"t9(*1a_T])ts$l\pN+zT$eƈmJ4G8;#"𓎪)oZm&>G« ѝ7Z8c*){mq*etںiẈ[\cј]pŐGn=K,r`c_wO~uZdIZ*NaOY!wl5PfS"f-/Q%iVg1ݍtJ.aaC 3a #}^]< >'GQ[@M!$M7uleFg27x)U^ v:!g*Z]C$y)jn[z!9x1-;+Sa)˓S{LkP=$Nu=M)YElNP燁JDB I<}m+<z9y"Eyy OgD)9+9*1ig4d8d j0;JgE~gVExdRj2t}&A;==sdٰ+/}GȾm.E E*!cً߻[$Μ:g0Y bMqBSYN"9iC7\p5PyKO~Lt乭n"y4B ~~ :c沆/X&޲>Fy j$H>U_6@cTV"udIB9Ʋqzcv)XpZ=sޣ6's> V .0os瘥X߿NgR!6qth L0eJ8Yd8u82ǸgP\uIpQF G/_OӠ×ڠ{][]#!pV<@hy0[_5pLhY0 Q?AY> })E|wq=Iv(NiҜޕf20K?}>>d7fb*RK 4(38[@^>M=WH:;oVz6"\қju#^igCN"` ? WI,WL`F6G΀kv;DH6wvsʃgػ LHSΨP֝!ؒZI#)!#1bi6][CYFnMMcj,{^<+9-mvf/e7%9&7<,oUJ]{v?zBEQD[Ŵ)0;zi[5*m  &Ύ) ^~CqӐ!" *9~eGQkHy{Qt{8cQ cwگt-RѥV 44+õojqIuR`$EKSS y5~LL8=0߻q@}7FlcE^d@edˌٶ* 6Iż^F;N(D1aڵ>Y fM|M@tMeȿZ9\Ɛ5oe|c_g~ Sg"E1WSp<>#dXY,c$^ANQwd«W#?\v!= dz/>$}4ӈ0Q;ov8 v|@}9oBS4wtϦ em}6 $ $G|̵zFWH;qӻ*a Nǔx΁GC뽸gt×F&adN9q8Ӛ|GsPO%jA[Z@m7~Yp -Yol-S? k_o4xnj߯Se#9u;]z $W+x0^ PݷgK+MMLJpRѰ ̮/CqU|xb*]7N 0ad-WmK[E_AT>wUqüR?4EF9DY){4tx^mCS#&>"cST3}i;6PgY8+JֶOxQ 3N^d|)'c&C%[)Uy;Tvg F)QE^ \TqTe+Fok RRs; kuEmrJzlFF!9/ᝋ(~%pIUr\{tϣ+Ň3zMT쇱!/Ad, ǜD΂bp}\i|kQtm_ـa)jsȂU)Vl7LD Z[?##J䣰`i}/;k\[CXdj{2qh,T0So3d8ߜЀsA_C/ fxmznoCF+}=xh2F|7ݚ ޕM pj梷LP|(6y%U=:hwе xMjȉ}#FnOx: \{p<n}j- Y$Ѝ` 7= gqp>MAg l: RYo9K,W~\$>Brݏ~?92޸As$_)5x;Lٗ%Rt ki콳\lH#4%p'냿^ֵđ#p6ܕ5p~~z/zXjZAѯ_ۧ-u/\Hѱ6[:G>sxʞ0S1$O4gyK onԳ6xyƠt {SyNy[w\IUjbpOZϣw3ֵ@"/Ӝ"4 A?)1G~)e*,|KɈ !p+$@a[BJfE>^*7!vo,MDZ֮> ebD  m׺_V#W0k({S*}5KDvܒcP^j: :)-,6: =byu= ,y)[Czs3e vd۳ڨ^[_23AiE0//#/|jS[Ծ1KB,ü|k=Gvu~^ gtMu|pL]$Fs)hڈ  8,t6 Of4Gv TҖQj213U,9;]ZPn %bߖHx=1(_r _vJ'ُ%Qh_t;/ kՃeZ~-CC<{'[5/8X_ ?1h5qa 3Q>'>~) XEOklFM;c65g:-ʲ2գӯwKp?ג_A߇Dʢs8ْPhȳ M\PV-ؚJ{2Y4Wn›#1Bϐ"FZ5 )Vk"xƘS6 !}5*$CIDAT-xz97v3_jC ƙ/~><<'iˌ;jxR}^ܷGAli^Zԃ颁r_׃͠r40qam*[䘓b}'܋3=Q\/j,o(B F(hhU}Ι:xb{us߾G޾@ڎzB;.ybK7J9\T[fZƢSs E͢]`qz8rnNG}BhPn/n9^#A?; NȳqqV4Zg9"5ǟyV u WӗўcXfwH,`Ep[xTp=R`s6V$q?K_ͱ 4) Ox&zLOwkGm92)ϗً钇B_V#PטnmSR;zkmgAi.jNy{-zcә}k2jn>lڹ$K_g 1/4~p8C~Ce3rF4OL*Jf^%d^hc,wdSR$l-YY}A}Qfw a ([G`T#w,w}ByB{M~ҼH7Fp!}py`ow}P@1_|xQg7,T<:vۋ{~)zdJξ/ʤs*!0Ͳ02 KLN9Uƀj1/D[떼@Fq ( ˢ#8c?} `\FiY0)3 -TF8Ho8’/?{Ef{ERس)l|-3U mJss6C4DzAa"][S'2e3p}OD"@J | VO,b~b`^R|kګpxXʷƈf !p_ Nd7Mo7Ꞩ[R3=m K9Z}MF+FNc ll=DZPAy6'MD#X;ݟtY:0 q_S`R9R8⺨jsϬYmHWSӴ1Ue ݑ _2s Z]$1\]vӹz.L?osՏs 8h i=M.}5SW}-YU1\MhNx ouaHxV.pGe[akaAP}Qq@Xr^jEfeWEw{&I<5m)jCnYvp}c_>O~僦9th BvՊ;{ђM_%C5fZ[-~o9*..R FµhMT?V}g|i[Gs-'踩u(pBilKTݖaJQ(aITccSwWE4!B`Y:%[$DŌT`5[}i]̯oGT)UHJXj7bj?jhҖdPJWB{K>R2ND!BTLJn9j {ly0A.D*m.ݽ](9)eyNm߶aŃ``i 6vCmOc˙ v͒;J:`Neyc5mIϚ߉Qsu- ֥pخ/ ȪHy^Z*0 &Ni b'.FX MQ;y]viuw^4E,o@de^ߌo4 l3`Ls8r$G%\6z ·uRdާȱ_J)jNp/cix ~)o`B/¢á 95_($~Ȱ7ƨC۰Kll`ET4 g }F7A͍b:p 8zNNhNρR(&߹w9yQYCn):E7[V[7w|"AҶ{ZW$ YNJ#1i~y'eaf)(Hm}8 +&h74-/t/6xOU,H+'1&W_|0D԰³Z~:D9q}ˋpvd :*&5wF;r ;!\m3cy`_!+>0tن;Xx2*{-:3 gVҮ";g)i7i}-_{>L2`TmiCO7 t}LYAwp9; K=we}Vv;G_}bte#f33$j8b_dM) 47\@}eW*opU4v~WwMG'їxQa"6xYӟTP)cnt̸b0 {y*G7Ya>") Y!`)_ DCAZO,C@%T!2^f^e^Ɵy'[/?éh:%T'Pj>?k3;)yǧ?S[fx7fM/=x py[|wg=h2F9797^=o9T^ue>ZFjI=ft?;}[hVO ج \ vݭhlǂtUh|-[T_1tJq-J3^yN [Đ!޶u pIٖ!^|P[1х⹔5Xh]nj*0Ys'W1ϓy %(NL5aҭx۔E{6daFTA"{A^&0 <~/[SW툱0\,NaC D4G[ouI&h ]7zod>0aɚ<*Cn6\wS%8op5_ ]rj3 VGxe(E3nY_ ?F_ˌcat8<u3܃ᏣzB?u#|3Rx2 p`{}NBV˵ΫOϐ4~ջ_[)w54m#k ~R|r<ϣ!C׿8zh87\`!a\X_ 6Q0|r,\(.ޘqRE v@ܑ'p9‚H􃠀c&Ӏ ( L%ޏd>~S(|x %С\vؕlg߯(az&:ծ7noQ-Le)Ew{/Kzܽ9!Smo)H﷜ρ: W.r$,A2xf.j폱يh r΋dF\ {x"P'1TO?޻l\w !?^jѺpiקG(E|JY6眠Ixn<[n =e>V#Qw"y%[ֆp)g)3`pgnUcpj@)2j/0zRtSA_E7_(kG.2?qPxQ0 pS4$8 sQU gBQ|r|e9X [P쐑E$]? z4ڏ|aV 1A] H/Z IF@Q &X]ɆvlrVl~ .|yeb:'Bݦ(Nt dߖH.w c`mI^qXT%Qa7Ǻ*l-vV5;%㣞s6CQ|3}L "RiQ7Zb;:uӋsA>m (榢z&6֘0/8kAۑ´:iwi綿R)K7ѥ"j*lM7=;K#t8j8sj[=g']NN'><~gZaӘ^tdy}Ӄv}X oj0pǓD@~9_=@W(ۍj8!g9!9ȌPR 9JO(|խ9 +q<;#+̠˵/g]1 k|)/ '~'oˎa7y}ϟW6A9V&BER01ݘwQX%E{/lkvsM8HI_xЇ@س<1׭5QSl ˔(zgx&$7o;EZV$J2(˖00G*2lDR,EMX9SV2 2ȑRp\rL[Ѫ4F 1 Rb)pʜ奷!󐝉 «vfx-/T36Y6! Ѥ4E-I^4&b|o]$<?_U,))|p(X;dKCPGdbCmC# FQI8L4!f`eQi3YVD8zo1ۡ2GtKÒ)}cOHgf$el\,\0ֲ@dX58SpQ#2#iioJesB xsSsX6258&Xki^6FobBw2Fxr0=>{ eUCw|Y荞# %Su<Ua%ܢ:ΦQ|S *[$";Ր_|p(+@$gk Cݽy~cF{Mpg-&4RnOwBs#.b?j>'ʨc t0i2vU_MTcKGRɍCrdcREkYMc1a4&_T}8p'~i hWxSN AšqQ4p{&Fd٭.o|QTt:06m%wR4.)S䐜],7FD/ڰɉGEa <]~SrS7G'1'`Q0*է) x__c뙗15#)k ͥ+-Z`&;v|T_o}7#ֵF3G/Rd𠺙%{G` zC2. #０kL(|'%clZpM;KH ,Ga6qlkԭ^q>î >C 8&C+>woNGO'X'?ӟ3=11xiIENDB`PyMca5-5.2.2/PyMca5.egg-info/0000755000276300001750000000000013205526235015516 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5.egg-info/requires.txt0000644000276300001750000000003513205526235020114 0ustar solebliss00000000000000fisx>=1.1.4 matplotlib numpy PyMca5-5.2.2/PyMca5.egg-info/SOURCES.txt0000644000276300001750000010653113205526235017410 0ustar solebliss00000000000000LICENSE LICENSE.GPL LICENSE.LGPL LICENSE.MIT MANIFEST.in PlatypusScript README build-deb.sh changelog.txt copyright cx_setup.py py2app_setup.py qtconffile setup.py version.py PyMca5/PyMcaDataDir.py PyMca5/__init__.py PyMca5.egg-info/PKG-INFO PyMca5.egg-info/SOURCES.txt PyMca5.egg-info/dependency_links.txt PyMca5.egg-info/requires.txt PyMca5.egg-info/top_level.txt PyMca5/EPDL97/EADL.DAT PyMca5/EPDL97/EADLParser.py PyMca5/EPDL97/EADLSubshells.py PyMca5/EPDL97/EPDL97.DAT PyMca5/EPDL97/EPDL97Parser.py PyMca5/EPDL97/GenerateEADLBindingEnergies.py PyMca5/EPDL97/GenerateEADLShellConstants.py PyMca5/EPDL97/GenerateEADLShellNonradiativeRates.py PyMca5/EPDL97/GenerateEADLShellRadiativeRates.py PyMca5/EPDL97/GenerateEPDL97CrossSections.py PyMca5/EPDL97/GenerateEPDL97TotalCrossSections.py PyMca5/EPDL97/LICENSE PyMca5/EPDL97/__init__.py PyMca5/Object3D/ClippingPlaneConfiguration.py PyMca5/Object3D/GLToolBar.py PyMca5/Object3D/GLWidgetCachePixmap.py PyMca5/Object3D/HorizontalSpacer.py PyMca5/Object3D/LICENSE.LGPL PyMca5/Object3D/Object3DBase.py PyMca5/Object3D/Object3DColormap.py PyMca5/Object3D/Object3DConfig.py PyMca5/Object3D/Object3DCoordinates.py PyMca5/Object3D/Object3DDirs.py PyMca5/Object3D/Object3DIcons.py PyMca5/Object3D/Object3DMovement.py PyMca5/Object3D/Object3DPrintPreview.py PyMca5/Object3D/Object3DPrivateConfig.py PyMca5/Object3D/Object3DProperties.py PyMca5/Object3D/Object3DQt.py PyMca5/Object3D/Object3DRedBookFont.py PyMca5/Object3D/Object3DScene.py PyMca5/Object3D/Object3DSlider.py PyMca5/Object3D/ObjectTree.py PyMca5/Object3D/PrivateConfigTools.py PyMca5/Object3D/README.txt PyMca5/Object3D/Scene.py PyMca5/Object3D/SceneControl.py PyMca5/Object3D/SceneCoordinates.py PyMca5/Object3D/SceneGLWidget.py PyMca5/Object3D/SceneGLWindow.py PyMca5/Object3D/SceneManager.py PyMca5/Object3D/SceneTree.py PyMca5/Object3D/SceneWidget.py PyMca5/Object3D/VerticalSpacer.py PyMca5/Object3D/__init__.py PyMca5/Object3D/cx_setup.py PyMca5/Object3D/qtconffile PyMca5/Object3D/setup.py PyMca5/Object3D/Object3DCTools/MarchingCubes.c PyMca5/Object3D/Object3DCTools/Object3DCTools.c PyMca5/Object3D/Object3DCTools/marchingsource.cpp PyMca5/Object3D/Object3DCTools/setup.py PyMca5/Object3D/Object3DPlugins/ChimeraStack.py PyMca5/Object3D/Object3DPlugins/Object3DMesh.py PyMca5/Object3D/Object3DPlugins/Object3DMeshConfig.py PyMca5/Object3D/Object3DPlugins/Object3DPixmap.py PyMca5/Object3D/Object3DPlugins/Object3DStack.py PyMca5/Object3D/Object3DPlugins/__init__.py PyMca5/Object3D/Object3DQhull/Object3DQhull.c PyMca5/Object3D/Object3DQhull/__init__.py PyMca5/Object3D/Object3DQhull/setup.py PyMca5/Object3D/Object3DQhull/test.py PyMca5/Object3D/Object3DQhull/_qhull/_qhull32.c PyMca5/Object3D/Object3DQhull/_qhull/_qhull32.pyx PyMca5/Object3D/Object3DQhull/_qhull/_qhull64.c PyMca5/Object3D/Object3DQhull/_qhull/_qhull64.pyx PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxd PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi PyMca5/Object3D/doc/DemoPlugin.py PyMca5/Object3D/scripts/ob_scene PyMca5/Object3D/scripts/object3d_win_post_install.py PyMca5/PyMca/__init__.py PyMca5/PyMcaCore/DataObject.py PyMca5/PyMcaCore/EdfFileDataSource.py PyMca5/PyMcaCore/EdfFileLayer.py PyMca5/PyMcaCore/EventHandler.py PyMca5/PyMcaCore/HtmlIndex.py PyMca5/PyMcaCore/NexusDataSource.py PyMca5/PyMcaCore/Plugin1DBase.py PyMca5/PyMcaCore/PyMcaBatchBuildOutput.py PyMca5/PyMcaCore/PyMcaDirs.py PyMca5/PyMcaCore/PyMcaLogo.py PyMca5/PyMcaCore/PyMcaMatplotlibSave.py PyMca5/PyMcaCore/SPSLayer.py PyMca5/PyMcaCore/SpecFileDataSource.py PyMca5/PyMcaCore/SpecFileLayer.py PyMca5/PyMcaCore/SpsDataSource.py PyMca5/PyMcaCore/StackBase.py PyMca5/PyMcaCore/StackPluginBase.py PyMca5/PyMcaCore/StackROIBatch.py PyMca5/PyMcaCore/XiaCorrect.py PyMca5/PyMcaCore/XiaEdf.py PyMca5/PyMcaCore/__init__.py PyMca5/PyMcaData/EXAFS_Cu.dat PyMca5/PyMcaData/EXAFS_Ge.dat PyMca5/PyMcaData/KShellRatesScofieldHS.dat PyMca5/PyMcaData/LShellRatesCampbell.dat PyMca5/PyMcaData/LShellRatesScofieldHS.dat PyMca5/PyMcaData/McaTheory.cfg PyMca5/PyMcaData/PyMcaSplashImage.png PyMca5/PyMcaData/Scofield1973.dict PyMca5/PyMcaData/XRFSpectrum.mca PyMca5/PyMcaData/HTML/AdvancedAlignmentScanPlugin.html PyMca5/PyMcaData/HTML/Display-HOWTO.html PyMca5/PyMcaData/HTML/MCA-HOWTO.html PyMca5/PyMcaData/HTML/Menu.html PyMca5/PyMcaData/HTML/N4f.png PyMca5/PyMcaData/HTML/PyMCA.html PyMca5/PyMcaData/HTML/PyMCA.pdf PyMca5/PyMcaData/HTML/SumRulesToolInfotext.html PyMca5/PyMcaData/HTML/XMCDInfotext.html PyMca5/PyMcaData/HTML/aM4.png PyMca5/PyMcaData/HTML/aM5.png PyMca5/PyMcaData/HTML/lz.png PyMca5/PyMcaData/HTML/mOrb.png PyMca5/PyMcaData/HTML/mOrb_K.png PyMca5/PyMcaData/HTML/mOverM.png PyMca5/PyMcaData/HTML/mSpin.png PyMca5/PyMcaData/HTML/mSpin_K.png PyMca5/PyMcaData/HTML/mu.png PyMca5/PyMcaData/HTML/nMax.png PyMca5/PyMcaData/HTML/pInt.png PyMca5/PyMcaData/HTML/qInt.png PyMca5/PyMcaData/HTML/rInt.png PyMca5/PyMcaData/HTML/sz.png PyMca5/PyMcaData/HTML/IMAGES/Formula1.png PyMca5/PyMcaData/HTML/IMAGES/Formula2.png PyMca5/PyMcaData/HTML/IMAGES/Formula3.png PyMca5/PyMcaData/HTML/IMAGES/Formula4.png PyMca5/PyMcaData/HTML/IMAGES/Formula5.png PyMca5/PyMcaData/HTML/IMAGES/Formula6.png PyMca5/PyMcaData/HTML/IMAGES/Formula7.png PyMca5/PyMcaData/HTML/IMAGES/Formula8.png PyMca5/PyMcaData/HTML/IMAGES/Formula9.png PyMca5/PyMcaData/HTML/IMAGES/image002.gif PyMca5/PyMcaData/HTML/IMAGES/image004.gif PyMca5/PyMcaData/HTML/IMAGES/image006.gif PyMca5/PyMcaData/HTML/IMAGES/image008.gif PyMca5/PyMcaData/HTML/IMAGES/image010.gif PyMca5/PyMcaData/HTML/IMAGES/image012.gif PyMca5/PyMcaData/HTML/IMAGES/image014.gif PyMca5/PyMcaData/HTML/IMAGES/image016.gif PyMca5/PyMcaData/HTML/IMAGES/image018.gif PyMca5/PyMcaData/HTML/IMAGES/image020.gif PyMca5/PyMcaData/HTML/PyMCA_files/filelist.xml PyMca5/PyMcaData/HTML/PyMCA_files/image001.wmz PyMca5/PyMcaData/HTML/PyMCA_files/image002.gif PyMca5/PyMcaData/HTML/PyMCA_files/image003.wmz PyMca5/PyMcaData/HTML/PyMCA_files/image004.gif PyMca5/PyMcaData/HTML/PyMCA_files/image005.wmz PyMca5/PyMcaData/HTML/PyMCA_files/image006.gif PyMca5/PyMcaData/HTML/PyMCA_files/image007.wmz PyMca5/PyMcaData/HTML/PyMCA_files/image008.gif PyMca5/PyMcaData/HTML/PyMCA_files/image009.wmz PyMca5/PyMcaData/HTML/PyMCA_files/image010.gif PyMca5/PyMcaData/HTML/PyMCA_files/image011.wmz PyMca5/PyMcaData/HTML/PyMCA_files/image012.gif PyMca5/PyMcaData/HTML/PyMCA_files/image013.wmz PyMca5/PyMcaData/HTML/PyMCA_files/image014.gif PyMca5/PyMcaData/HTML/PyMCA_files/image015.wmz PyMca5/PyMcaData/HTML/PyMCA_files/image016.gif PyMca5/PyMcaData/HTML/PyMCA_files/image017.wmz PyMca5/PyMcaData/HTML/PyMCA_files/image018.gif PyMca5/PyMcaData/HTML/PyMCA_files/image019.wmz PyMca5/PyMcaData/HTML/PyMCA_files/image020.gif PyMca5/PyMcaData/HTML/PyMCA_files/oledata.mso PyMca5/PyMcaData/attdata/Ac.mat PyMca5/PyMcaData/attdata/Ag.mat PyMca5/PyMcaData/attdata/Al.mat PyMca5/PyMcaData/attdata/Am.mat PyMca5/PyMcaData/attdata/Ar.mat PyMca5/PyMcaData/attdata/As.mat PyMca5/PyMcaData/attdata/At.mat PyMca5/PyMcaData/attdata/Au.mat PyMca5/PyMcaData/attdata/B.mat PyMca5/PyMcaData/attdata/Ba.mat PyMca5/PyMcaData/attdata/Be.mat PyMca5/PyMcaData/attdata/Bi.mat PyMca5/PyMcaData/attdata/Bk.mat PyMca5/PyMcaData/attdata/Br.mat PyMca5/PyMcaData/attdata/C.mat PyMca5/PyMcaData/attdata/Ca.mat PyMca5/PyMcaData/attdata/Cd.mat PyMca5/PyMcaData/attdata/Ce.mat PyMca5/PyMcaData/attdata/Cf.mat PyMca5/PyMcaData/attdata/Cl.mat PyMca5/PyMcaData/attdata/Cm.mat PyMca5/PyMcaData/attdata/Co.mat PyMca5/PyMcaData/attdata/Cr.mat PyMca5/PyMcaData/attdata/Cs.mat PyMca5/PyMcaData/attdata/Cu.mat PyMca5/PyMcaData/attdata/Dy.mat PyMca5/PyMcaData/attdata/EGRID.TXT PyMca5/PyMcaData/attdata/Er.mat PyMca5/PyMcaData/attdata/Es.mat PyMca5/PyMcaData/attdata/Eu.mat PyMca5/PyMcaData/attdata/F.mat PyMca5/PyMcaData/attdata/Fe.mat PyMca5/PyMcaData/attdata/Fm.mat PyMca5/PyMcaData/attdata/Fr.mat PyMca5/PyMcaData/attdata/Ga.mat PyMca5/PyMcaData/attdata/Gd.mat PyMca5/PyMcaData/attdata/Ge.mat PyMca5/PyMcaData/attdata/H.mat PyMca5/PyMcaData/attdata/He.mat PyMca5/PyMcaData/attdata/Hf.mat PyMca5/PyMcaData/attdata/Hg.mat PyMca5/PyMcaData/attdata/Ho.mat PyMca5/PyMcaData/attdata/I.mat PyMca5/PyMcaData/attdata/In.mat PyMca5/PyMcaData/attdata/Ir.mat PyMca5/PyMcaData/attdata/K.mat PyMca5/PyMcaData/attdata/KCl.mat PyMca5/PyMcaData/attdata/Kr.mat PyMca5/PyMcaData/attdata/La.mat PyMca5/PyMcaData/attdata/Li.mat PyMca5/PyMcaData/attdata/Lu.mat PyMca5/PyMcaData/attdata/MATERIALS.DICT PyMca5/PyMcaData/attdata/Mg.mat PyMca5/PyMcaData/attdata/Mn.mat PyMca5/PyMcaData/attdata/Mo.mat PyMca5/PyMcaData/attdata/N.mat PyMca5/PyMcaData/attdata/Na.mat PyMca5/PyMcaData/attdata/Nb.mat PyMca5/PyMcaData/attdata/Nd.mat PyMca5/PyMcaData/attdata/Ne.mat PyMca5/PyMcaData/attdata/Ni.mat PyMca5/PyMcaData/attdata/Np.mat PyMca5/PyMcaData/attdata/O.mat PyMca5/PyMcaData/attdata/Os.mat PyMca5/PyMcaData/attdata/P.mat PyMca5/PyMcaData/attdata/Pa.mat PyMca5/PyMcaData/attdata/Pb.mat PyMca5/PyMcaData/attdata/Pd.mat PyMca5/PyMcaData/attdata/Pm.mat PyMca5/PyMcaData/attdata/Po.mat PyMca5/PyMcaData/attdata/Pr.mat PyMca5/PyMcaData/attdata/Pt.mat PyMca5/PyMcaData/attdata/Pu.mat PyMca5/PyMcaData/attdata/Ra.mat PyMca5/PyMcaData/attdata/Rb.mat PyMca5/PyMcaData/attdata/Re.mat PyMca5/PyMcaData/attdata/Rh.mat PyMca5/PyMcaData/attdata/Rn.mat PyMca5/PyMcaData/attdata/Ru.mat PyMca5/PyMcaData/attdata/S.mat PyMca5/PyMcaData/attdata/Sb.mat PyMca5/PyMcaData/attdata/Sc.mat PyMca5/PyMcaData/attdata/Se.mat PyMca5/PyMcaData/attdata/Si.mat PyMca5/PyMcaData/attdata/Sm.mat PyMca5/PyMcaData/attdata/Sn.mat PyMca5/PyMcaData/attdata/Sr.mat PyMca5/PyMcaData/attdata/Ta.mat PyMca5/PyMcaData/attdata/Tb.mat PyMca5/PyMcaData/attdata/Tc.mat PyMca5/PyMcaData/attdata/Te.mat PyMca5/PyMcaData/attdata/Th.mat PyMca5/PyMcaData/attdata/Ti.mat PyMca5/PyMcaData/attdata/Tl.mat PyMca5/PyMcaData/attdata/Tm.mat PyMca5/PyMcaData/attdata/U.mat PyMca5/PyMcaData/attdata/V.mat PyMca5/PyMcaData/attdata/W.mat PyMca5/PyMcaData/attdata/Xe.mat PyMca5/PyMcaData/attdata/Y.mat PyMca5/PyMcaData/attdata/Yb.mat PyMca5/PyMcaData/attdata/Zn.mat PyMca5/PyMcaData/attdata/Zr.mat PyMca5/PyMcaData/attdata/atomsf.dict PyMca5/PyMcaData/attdata/atomsf.lib PyMca5/PyMcaData/attdata/incoh.dict PyMca5/PyMcaData/attdata/mylar.mat PyMca5/PyMcaGraph/Colormap.py PyMca5/PyMcaGraph/Colors.py PyMca5/PyMcaGraph/Plot.py PyMca5/PyMcaGraph/PlotBackend.py PyMca5/PyMcaGraph/PlotBase.py PyMca5/PyMcaGraph/PluginLoader.py PyMca5/PyMcaGraph/__init__.py PyMca5/PyMcaGraph/backends/GLUTOpenGLBackend.py PyMca5/PyMcaGraph/backends/MatplotlibBackend.py PyMca5/PyMcaGraph/backends/OSMesaGLBackend.py PyMca5/PyMcaGraph/backends/OpenGLBackend.py PyMca5/PyMcaGraph/backends/PyQtGraphBackend.py PyMca5/PyMcaGraph/backends/_OpenGLPlotCanvas.py PyMca5/PyMcaGraph/backends/__init__.py PyMca5/PyMcaGraph/backends/_utils.py PyMca5/PyMcaGraph/backends/GLSupport/FontLatin1_12.py PyMca5/PyMcaGraph/backends/GLSupport/GLContext.py PyMca5/PyMcaGraph/backends/GLSupport/GLFramebuffer.py PyMca5/PyMcaGraph/backends/GLSupport/GLPlotCurve.py PyMca5/PyMcaGraph/backends/GLSupport/GLPlotFrame.py PyMca5/PyMcaGraph/backends/GLSupport/GLPlotImage.py PyMca5/PyMcaGraph/backends/GLSupport/GLProgram.py PyMca5/PyMcaGraph/backends/GLSupport/GLSupport.py PyMca5/PyMcaGraph/backends/GLSupport/GLText.py PyMca5/PyMcaGraph/backends/GLSupport/GLTexture.py PyMca5/PyMcaGraph/backends/GLSupport/GLVertexBuffer.py PyMca5/PyMcaGraph/backends/GLSupport/Interaction.py PyMca5/PyMcaGraph/backends/GLSupport/LabelLayout.py PyMca5/PyMcaGraph/backends/GLSupport/PlotEvents.py PyMca5/PyMcaGraph/backends/GLSupport/PlotImageFile.py PyMca5/PyMcaGraph/backends/GLSupport/PlotInteraction.py PyMca5/PyMcaGraph/backends/GLSupport/__init__.py PyMca5/PyMcaGraph/backends/GLSupport/gl/__init__.py PyMca5/PyMcaGraph/ctools/__init__.py PyMca5/PyMcaGraph/ctools/_ctools/setup.py PyMca5/PyMcaGraph/ctools/_ctools/cython/Colormap.pxd PyMca5/PyMcaGraph/ctools/_ctools/cython/Colormap.pyx PyMca5/PyMcaGraph/ctools/_ctools/cython/ColormapLUT.pxd PyMca5/PyMcaGraph/ctools/_ctools/cython/ColormapLUT.pyx PyMca5/PyMcaGraph/ctools/_ctools/cython/InsidePolygonWithBounds.pxd PyMca5/PyMcaGraph/ctools/_ctools/cython/InsidePolygonWithBounds.pyx PyMca5/PyMcaGraph/ctools/_ctools/cython/MinMax.pxd PyMca5/PyMcaGraph/ctools/_ctools/cython/MinMax.pyx PyMca5/PyMcaGraph/ctools/_ctools/cython/_ctools.c PyMca5/PyMcaGraph/ctools/_ctools/cython/_ctools.py PyMca5/PyMcaGraph/ctools/_ctools/cython/_ctools.pyx PyMca5/PyMcaGraph/ctools/_ctools/include/Colormap.h PyMca5/PyMcaGraph/ctools/_ctools/include/ColormapLUT.h PyMca5/PyMcaGraph/ctools/_ctools/include/InsidePolygonWithBounds.h PyMca5/PyMcaGraph/ctools/_ctools/include/MinMax.h PyMca5/PyMcaGraph/ctools/_ctools/include/Types.h PyMca5/PyMcaGraph/ctools/_ctools/src/Colormap.c PyMca5/PyMcaGraph/ctools/_ctools/src/ColormapLUT.c PyMca5/PyMcaGraph/ctools/_ctools/src/InsidePolygonWithBounds.c PyMca5/PyMcaGraph/ctools/_ctools/src/MinMaxImpl.c PyMca5/PyMcaGraph/ctools/_ctools/test/testColormap.py PyMca5/PyMcaGraph/ctools/_ctools/test/testFastLog10.py PyMca5/PyMcaGraph/ctools/_ctools/test/testMinMax.py PyMca5/PyMcaGui/PluginsToolButton.py PyMca5/PyMcaGui/PyMcaQt.py PyMca5/PyMcaGui/__init__.py PyMca5/PyMcaGui/io/PyMcaFileDialogs.py PyMca5/PyMcaGui/io/QEdfFileWidget.py PyMca5/PyMcaGui/io/QSelectorWidget.py PyMca5/PyMcaGui/io/QSourceSelector.py PyMca5/PyMcaGui/io/QSpecFileWidget.py PyMca5/PyMcaGui/io/QSpsWidget.py PyMca5/PyMcaGui/io/SpecFileCntTable.py PyMca5/PyMcaGui/io/SpecFileDataInfo.py PyMca5/PyMcaGui/io/SpecFileMcaTable.py PyMca5/PyMcaGui/io/__init__.py PyMca5/PyMcaGui/io/hdf5/HDF5CounterTable.py PyMca5/PyMcaGui/io/hdf5/HDF5DatasetTable.py PyMca5/PyMcaGui/io/hdf5/HDF5Info.py PyMca5/PyMcaGui/io/hdf5/HDF5Selection.py PyMca5/PyMcaGui/io/hdf5/HDF5Widget.py PyMca5/PyMcaGui/io/hdf5/Hdf5NodeView.py PyMca5/PyMcaGui/io/hdf5/QNexusWidget.py PyMca5/PyMcaGui/io/hdf5/__init__.py PyMca5/PyMcaGui/math/FFTAlignmentWindow.py PyMca5/PyMcaGui/math/NNMADialog.py PyMca5/PyMcaGui/math/NNMAWindow.py PyMca5/PyMcaGui/math/PCADialog.py PyMca5/PyMcaGui/math/PCAWindow.py PyMca5/PyMcaGui/math/SGWindow.py PyMca5/PyMcaGui/math/SIFTAlignmentWindow.py PyMca5/PyMcaGui/math/SNIPWindow.py PyMca5/PyMcaGui/math/StripBackgroundWidget.py PyMca5/PyMcaGui/math/__init__.py PyMca5/PyMcaGui/math/fitting/CheckField.py PyMca5/PyMcaGui/math/fitting/EntryField.py PyMca5/PyMcaGui/math/fitting/FitActionsGui.py PyMca5/PyMcaGui/math/fitting/FitConfigGui.py PyMca5/PyMcaGui/math/fitting/FitStatusGui.py PyMca5/PyMcaGui/math/fitting/McaTable.py PyMca5/PyMcaGui/math/fitting/MultiParameters.py PyMca5/PyMcaGui/math/fitting/Parameters.py PyMca5/PyMcaGui/math/fitting/QScriptOption.py PyMca5/PyMcaGui/math/fitting/RateLawWindow.py PyMca5/PyMcaGui/math/fitting/SimpleFitBatchGui.py PyMca5/PyMcaGui/math/fitting/SimpleFitConfigurationGui.py PyMca5/PyMcaGui/math/fitting/SimpleFitControlWidget.py PyMca5/PyMcaGui/math/fitting/SimpleFitGui.py PyMca5/PyMcaGui/math/fitting/SpecfitGui.py PyMca5/PyMcaGui/math/fitting/TabSheets.py PyMca5/PyMcaGui/math/fitting/TextField.py PyMca5/PyMcaGui/math/fitting/__init__.py PyMca5/PyMcaGui/misc/CalculationThread.py PyMca5/PyMcaGui/misc/CloseEventNotifyingWidget.py PyMca5/PyMcaGui/misc/DoubleSlider.py PyMca5/PyMcaGui/misc/FrameBrowser.py PyMca5/PyMcaGui/misc/NumpyArrayTableModel.py PyMca5/PyMcaGui/misc/NumpyArrayTableView.py PyMca5/PyMcaGui/misc/NumpyArrayTableWidget.py PyMca5/PyMcaGui/misc/QIPythonWidget.py PyMca5/PyMcaGui/misc/SelectionTable.py PyMca5/PyMcaGui/misc/SubprocessLogWidget.py PyMca5/PyMcaGui/misc/TableWidget.py PyMca5/PyMcaGui/misc/__init__.py PyMca5/PyMcaGui/physics/__init__.py PyMca5/PyMcaGui/physics/xas/XASFourierTransformParameters.py PyMca5/PyMcaGui/physics/xas/XASNormalizationParameters.py PyMca5/PyMcaGui/physics/xas/XASNormalizationWindow.py PyMca5/PyMcaGui/physics/xas/XASParameters.py PyMca5/PyMcaGui/physics/xas/XASPostEdgeParameters.py PyMca5/PyMcaGui/physics/xas/XASSelfattenuationWindow.py PyMca5/PyMcaGui/physics/xas/XASWindow.py PyMca5/PyMcaGui/physics/xas/__init__.py PyMca5/PyMcaGui/physics/xrf/AttenuatorsTable.py PyMca5/PyMcaGui/physics/xrf/ConcentrationsWidget.py PyMca5/PyMcaGui/physics/xrf/ElementsInfo.py PyMca5/PyMcaGui/physics/xrf/EnergyTable.py PyMca5/PyMcaGui/physics/xrf/FastXRFLinearFitWindow.py PyMca5/PyMcaGui/physics/xrf/FitParam.py PyMca5/PyMcaGui/physics/xrf/FitParamForm.py PyMca5/PyMcaGui/physics/xrf/FitPeakSelect.py PyMca5/PyMcaGui/physics/xrf/MaterialEditor.py PyMca5/PyMcaGui/physics/xrf/MatrixEditor.py PyMca5/PyMcaGui/physics/xrf/MatrixImage.py PyMca5/PyMcaGui/physics/xrf/McaAdvancedFit.py PyMca5/PyMcaGui/physics/xrf/McaAdvancedTable.py PyMca5/PyMcaGui/physics/xrf/McaCalWidget.py PyMca5/PyMcaGui/physics/xrf/PeakIdentifier.py PyMca5/PyMcaGui/physics/xrf/PeakTableWidget.py PyMca5/PyMcaGui/physics/xrf/QPeriodicTable.py PyMca5/PyMcaGui/physics/xrf/QXTube.py PyMca5/PyMcaGui/physics/xrf/QtMcaAdvancedFitReport.py PyMca5/PyMcaGui/physics/xrf/StrategyHandler.py PyMca5/PyMcaGui/physics/xrf/XRFMCPyMca.py PyMca5/PyMcaGui/physics/xrf/__init__.py PyMca5/PyMcaGui/plotting/ColormapDialog.py PyMca5/PyMcaGui/plotting/ImageView.py PyMca5/PyMcaGui/plotting/LegendSelector.py PyMca5/PyMcaGui/plotting/MaskImageTools.py PyMca5/PyMcaGui/plotting/MaskImageWidget.py PyMca5/PyMcaGui/plotting/MaskScatterWidget.py PyMca5/PyMcaGui/plotting/McaROIWidget.py PyMca5/PyMcaGui/plotting/ObjectPrintConfigurationDialog.py PyMca5/PyMcaGui/plotting/PlotWidget.py PyMca5/PyMcaGui/plotting/PlotWindow.py PyMca5/PyMcaGui/plotting/ProfileScanWidget.py PyMca5/PyMcaGui/plotting/PyMcaPrintPreview.py PyMca5/PyMcaGui/plotting/PyMca_Icons.py PyMca5/PyMcaGui/plotting/Q4PyMcaPrintPreview.py PyMca5/PyMcaGui/plotting/RGBCorrelatorGraph.py PyMca5/PyMcaGui/plotting/RenameCurveDialog.py PyMca5/PyMcaGui/plotting/ScatterPlotCorrelatorWidget.py PyMca5/PyMcaGui/plotting/SilxMaskImageWidget.py PyMca5/PyMcaGui/plotting/Toolbars.py PyMca5/PyMcaGui/plotting/_ImageProfile.py PyMca5/PyMcaGui/plotting/__init__.py PyMca5/PyMcaGui/pymca/ChangeLog.py PyMca5/PyMcaGui/pymca/EdfFileSimpleViewer.py PyMca5/PyMcaGui/pymca/ExternalImagesWindow.py PyMca5/PyMcaGui/pymca/Fit2Spec.py PyMca5/PyMcaGui/pymca/Mca2Edf.py PyMca5/PyMcaGui/pymca/McaCalibrationControlGUI.py PyMca5/PyMcaGui/pymca/McaCustomEvent.py PyMca5/PyMcaGui/pymca/McaSimpleFit.py PyMca5/PyMcaGui/pymca/McaWindow.py PyMca5/PyMcaGui/pymca/Median2DBrowser.py PyMca5/PyMcaGui/pymca/PyMcaBatch.py PyMca5/PyMcaGui/pymca/PyMcaFileDialogs.py PyMca5/PyMcaGui/pymca/PyMcaGLWindow.py PyMca5/PyMcaGui/pymca/PyMcaHKLImageWindow.py PyMca5/PyMcaGui/pymca/PyMcaImageWindow.py PyMca5/PyMcaGui/pymca/PyMcaMain.py PyMca5/PyMcaGui/pymca/PyMcaMdi.py PyMca5/PyMcaGui/pymca/PyMcaNexusWidget.py PyMca5/PyMcaGui/pymca/PyMcaPostBatch.py PyMca5/PyMcaGui/pymca/PyMca_help.py PyMca5/PyMcaGui/pymca/QDataSource.py PyMca5/PyMcaGui/pymca/QDispatcher.py PyMca5/PyMcaGui/pymca/QHDF5Stack1D.py PyMca5/PyMcaGui/pymca/QHDF5StackWizard.py PyMca5/PyMcaGui/pymca/QPyMcaMatplotlibSave.py PyMca5/PyMcaGui/pymca/QPyMcaMatplotlibSave1D.py PyMca5/PyMcaGui/pymca/QSource.py PyMca5/PyMcaGui/pymca/QSpsDataSource.py PyMca5/PyMcaGui/pymca/QStack.py PyMca5/PyMcaGui/pymca/QStackWidget.py PyMca5/PyMcaGui/pymca/RGBCorrelator.py PyMca5/PyMcaGui/pymca/RGBCorrelatorSlider.py PyMca5/PyMcaGui/pymca/RGBCorrelatorTable.py PyMca5/PyMcaGui/pymca/RGBCorrelatorWidget.py PyMca5/PyMcaGui/pymca/RGBImageCalculator.py PyMca5/PyMcaGui/pymca/ScanFit.py PyMca5/PyMcaGui/pymca/ScanWindow.py PyMca5/PyMcaGui/pymca/ScanWindowInfoWidget.py PyMca5/PyMcaGui/pymca/SilxExternalImagesWindow.py PyMca5/PyMcaGui/pymca/StackBrowser.py PyMca5/PyMcaGui/pymca/StackPluginResultsWindow.py PyMca5/PyMcaGui/pymca/StackROIBatchWindow.py PyMca5/PyMcaGui/pymca/StackROIWindow.py PyMca5/PyMcaGui/pymca/StackSelector.py PyMca5/PyMcaGui/pymca/StackSimpleFitWindow.py PyMca5/PyMcaGui/pymca/StackXASBatchWindow.py PyMca5/PyMcaGui/pymca/SumRulesTool.py PyMca5/PyMcaGui/pymca/XMCDWindow.py PyMca5/PyMcaGui/pymca/XiaCorrectWizard.py PyMca5/PyMcaGui/pymca/__init__.py PyMca5/PyMcaIO/APSMEDFileParser.py PyMca5/PyMcaIO/AifiraMap.py PyMca5/PyMcaIO/ArraySave.py PyMca5/PyMcaIO/BAXSCSVFileParser.py PyMca5/PyMcaIO/ConfigDict.py PyMca5/PyMcaIO/EDFStack.py PyMca5/PyMcaIO/EdfFile.py PyMca5/PyMcaIO/Fit2DChiFileParser.py PyMca5/PyMcaIO/HDF5Stack1D.py PyMca5/PyMcaIO/JcampFileParser.py PyMca5/PyMcaIO/JcampOpusStack.py PyMca5/PyMcaIO/JcampReader.py PyMca5/PyMcaIO/LispixMap.py PyMca5/PyMcaIO/LuciaMap.py PyMca5/PyMcaIO/MEDFile.py PyMca5/PyMcaIO/MRCMap.py PyMca5/PyMcaIO/MarCCD.py PyMca5/PyMcaIO/NumpyStack.py PyMca5/PyMcaIO/OlympusCSVFileParser.py PyMca5/PyMcaIO/OmdaqLmf.py PyMca5/PyMcaIO/OmnicMap.py PyMca5/PyMcaIO/OpusDPTMap.py PyMca5/PyMcaIO/PilatusCBF.py PyMca5/PyMcaIO/RTXMap.py PyMca5/PyMcaIO/RenishawMap.py PyMca5/PyMcaIO/SPXFileParser.py PyMca5/PyMcaIO/SRSFileParser.py PyMca5/PyMcaIO/SpecFileAbstractClass.py PyMca5/PyMcaIO/SpecFileStack.py PyMca5/PyMcaIO/SupaVisioMap.py PyMca5/PyMcaIO/TextImageStack.py PyMca5/PyMcaIO/ThermoEMSFileParser.py PyMca5/PyMcaIO/TiffIO.py PyMca5/PyMcaIO/TiffStack.py PyMca5/PyMcaIO/__init__.py PyMca5/PyMcaIO/specfilewrapper.py PyMca5/PyMcaIO/spswrap.py PyMca5/PyMcaIO/PyMcaIOHelper/PyMcaIOHelper.c PyMca5/PyMcaIO/edf/FastEdf.c PyMca5/PyMcaIO/edf/setup.py PyMca5/PyMcaIO/specfile/MANIFEST.in PyMca5/PyMcaIO/specfile/setup.py PyMca5/PyMcaIO/specfile/include/Lists.h PyMca5/PyMcaIO/specfile/include/SpecFile.h PyMca5/PyMcaIO/specfile/include/SpecFileP.h PyMca5/PyMcaIO/specfile/include/locale_management.h PyMca5/PyMcaIO/specfile/src/locale_management.c PyMca5/PyMcaIO/specfile/src/sfdata.c PyMca5/PyMcaIO/specfile/src/sfheader.c PyMca5/PyMcaIO/specfile/src/sfindex.c PyMca5/PyMcaIO/specfile/src/sfinit.c PyMca5/PyMcaIO/specfile/src/sflabel.c PyMca5/PyMcaIO/specfile/src/sflists.c PyMca5/PyMcaIO/specfile/src/sfmca.c PyMca5/PyMcaIO/specfile/src/sftools.c PyMca5/PyMcaIO/specfile/src/sfwrite.c PyMca5/PyMcaIO/specfile/src/specfile_py.c PyMca5/PyMcaIO/specfile/src/specfile_py3.c PyMca5/PyMcaIO/sps/LICENSE PyMca5/PyMcaIO/sps/MANIFEST.in PyMca5/PyMcaIO/sps/setup.py PyMca5/PyMcaIO/sps/Include/blissmalloc.h PyMca5/PyMcaIO/sps/Include/spec_shm.h PyMca5/PyMcaIO/sps/Include/sps.h PyMca5/PyMcaIO/sps/Include/sps_lut.h PyMca5/PyMcaIO/sps/Src/sps.c PyMca5/PyMcaIO/sps/Src/sps_lut.c PyMca5/PyMcaIO/sps/Src/sps_py.c PyMca5/PyMcaIO/sps/Src/spslut_py.c PyMca5/PyMcaMath/ImageRegistration.py PyMca5/PyMcaMath/SGModule.py PyMca5/PyMcaMath/SNIPModule.py PyMca5/PyMcaMath/SimpleMath.py PyMca5/PyMcaMath/SpecArithmetic.py PyMca5/PyMcaMath/__init__.py PyMca5/PyMcaMath/linalg.py PyMca5/PyMcaMath/PyMcaSciPy/__init__.py PyMca5/PyMcaMath/PyMcaSciPy/signal/LICENSE.txt PyMca5/PyMcaMath/PyMcaSciPy/signal/__init__.py PyMca5/PyMcaMath/PyMcaSciPy/signal/median.py PyMca5/PyMcaMath/PyMcaSciPy/signal/medianfilter.c PyMca5/PyMcaMath/PyMcaSciPy/signal/mediantools.c PyMca5/PyMcaMath/fitting/Gefit.py PyMca5/PyMcaMath/fitting/LinearRegression.py PyMca5/PyMcaMath/fitting/RateLaw.py PyMca5/PyMcaMath/fitting/SimpleFitModule.py PyMca5/PyMcaMath/fitting/SimpleFitUserEstimatedFunctions.py PyMca5/PyMcaMath/fitting/Specfit.py PyMca5/PyMcaMath/fitting/SpecfitFunctions.py PyMca5/PyMcaMath/fitting/StackSimpleFit.py PyMca5/PyMcaMath/fitting/__init__.py PyMca5/PyMcaMath/fitting/specfit/SpecfitFuns.c PyMca5/PyMcaMath/fitting/specfit/setup.py PyMca5/PyMcaMath/fitting/specfit/smoothnd.c PyMca5/PyMcaMath/fitting/specfit/snip1d.c PyMca5/PyMcaMath/fitting/specfit/snip2d.c PyMca5/PyMcaMath/fitting/specfit/snip3d.c PyMca5/PyMcaMath/mva/Lanczos.py PyMca5/PyMcaMath/mva/NNMAModule.py PyMca5/PyMcaMath/mva/PCAModule.py PyMca5/PyMcaMath/mva/PCATools.py PyMca5/PyMcaMath/mva/__init__.py PyMca5/PyMcaMath/mva/py_nnma/LICENSE PyMca5/PyMcaMath/mva/py_nnma/README PyMca5/PyMcaMath/mva/py_nnma/__init__.py PyMca5/PyMcaMath/mva/py_nnma/nnma.py PyMca5/PyMcaMath/mva/py_nnma/setup.py PyMca5/PyMcaMath/sift/__init__.py PyMca5/PyMcaMath/sift/algebra.cl PyMca5/PyMcaMath/sift/alignment.py PyMca5/PyMcaMath/sift/convolution.cl PyMca5/PyMcaMath/sift/gaussian.cl PyMca5/PyMcaMath/sift/image.cl PyMca5/PyMcaMath/sift/interpolation.cl PyMca5/PyMcaMath/sift/interpolation.py PyMca5/PyMcaMath/sift/keypoints_cpu.cl PyMca5/PyMcaMath/sift/keypoints_gpu1.cl PyMca5/PyMcaMath/sift/keypoints_gpu2.cl PyMca5/PyMcaMath/sift/match.py PyMca5/PyMcaMath/sift/matching_cpu.cl PyMca5/PyMcaMath/sift/matching_gpu.cl PyMca5/PyMcaMath/sift/memset.cl PyMca5/PyMcaMath/sift/opencl.py PyMca5/PyMcaMath/sift/orientation_cpu.cl PyMca5/PyMcaMath/sift/orientation_gpu.cl PyMca5/PyMcaMath/sift/param.py PyMca5/PyMcaMath/sift/plan.py PyMca5/PyMcaMath/sift/preprocess.cl PyMca5/PyMcaMath/sift/reductions.cl PyMca5/PyMcaMath/sift/sift.py PyMca5/PyMcaMath/sift/transform.cl PyMca5/PyMcaMath/sift/utils.py PyMca5/PyMcaMisc/PhysicalMemory.py PyMca5/PyMcaMisc/__init__.py PyMca5/PyMcaPhysics/SixCircle.py PyMca5/PyMcaPhysics/__init__.py PyMca5/PyMcaPhysics/xas/XASClass.py PyMca5/PyMcaPhysics/xas/XASNormalization.py PyMca5/PyMcaPhysics/xas/XASSelfattenuationCorrection.py PyMca5/PyMcaPhysics/xas/XASStackBatch.py PyMca5/PyMcaPhysics/xas/__init__.py PyMca5/PyMcaPhysics/xas/_xas/setup.py PyMca5/PyMcaPhysics/xas/_xas/cython/_xas.c PyMca5/PyMcaPhysics/xas/_xas/cython/_xas.pyx PyMca5/PyMcaPhysics/xas/_xas/cython/bessel0.pxd PyMca5/PyMcaPhysics/xas/_xas/cython/polspl.pxd PyMca5/PyMcaPhysics/xas/_xas/include/bessel0.h PyMca5/PyMcaPhysics/xas/_xas/include/polspl.h PyMca5/PyMcaPhysics/xas/_xas/src/bessel0.c PyMca5/PyMcaPhysics/xas/_xas/src/polspl.c PyMca5/PyMcaPhysics/xrf/BindingEnergies.py PyMca5/PyMcaPhysics/xrf/ClassMcaTheory.py PyMca5/PyMcaPhysics/xrf/CoherentScattering.py PyMca5/PyMcaPhysics/xrf/ConcentrationsTool.py PyMca5/PyMcaPhysics/xrf/ElementHtml.py PyMca5/PyMcaPhysics/xrf/Elements.py PyMca5/PyMcaPhysics/xrf/FastXRFLinearFit.py PyMca5/PyMcaPhysics/xrf/FisxHelper.py PyMca5/PyMcaPhysics/xrf/GenerateXCOMCrossSections.py PyMca5/PyMcaPhysics/xrf/IncoherentScattering.py PyMca5/PyMcaPhysics/xrf/KShell.py PyMca5/PyMcaPhysics/xrf/LShell.py PyMca5/PyMcaPhysics/xrf/MShell.py PyMca5/PyMcaPhysics/xrf/McaAdvancedFitBatch.py PyMca5/PyMcaPhysics/xrf/PyMcaEPDL97.py PyMca5/PyMcaPhysics/xrf/Scofield1973.py PyMca5/PyMcaPhysics/xrf/SingleLayerStrategy.py PyMca5/PyMcaPhysics/xrf/Strategies.py PyMca5/PyMcaPhysics/xrf/XRayTubeEbel.py PyMca5/PyMcaPhysics/xrf/__init__.py PyMca5/PyMcaPhysics/xrf/XRFMC/XMSOParser.py PyMca5/PyMcaPhysics/xrf/XRFMC/XRFMCHelper.py PyMca5/PyMcaPhysics/xrf/XRFMC/__init__.py PyMca5/PyMcaPlugins/AdvancedAlignmentScanPlugin.py PyMca5/PyMcaPlugins/AlignmentScanPlugin.py PyMca5/PyMcaPlugins/BackgroundScanPlugin.py PyMca5/PyMcaPlugins/BackgroundStackPlugin.py PyMca5/PyMcaPlugins/CalculationThread.py PyMca5/PyMcaPlugins/ConsolePlugin.py PyMca5/PyMcaPlugins/ConsoleStackPlugin.py PyMca5/PyMcaPlugins/ExternalImagesStackPlugin.py PyMca5/PyMcaPlugins/FastXRFLinearFitStackPlugin.py PyMca5/PyMcaPlugins/FitStackPlugin.py PyMca5/PyMcaPlugins/ImageAlignmentStackPlugin.py PyMca5/PyMcaPlugins/KineticsPlugin.py PyMca5/PyMcaPlugins/LoadPositionersStackPlugin.py PyMca5/PyMcaPlugins/MathPlugins.py PyMca5/PyMcaPlugins/MedianFilterScanDeglitchPlugin.py PyMca5/PyMcaPlugins/MedianFilterScanPlugin.py PyMca5/PyMcaPlugins/MedianFilterStackPlugin.py PyMca5/PyMcaPlugins/MotorInfoPlugin.py PyMca5/PyMcaPlugins/MotorInfoWindow.py PyMca5/PyMcaPlugins/MultipleScanToMeshPlugin.py PyMca5/PyMcaPlugins/NNMAStackPlugin.py PyMca5/PyMcaPlugins/NormalizationPlugins.py PyMca5/PyMcaPlugins/PCAStackPlugin.py PyMca5/PyMcaPlugins/Plugin1DBase.py PyMca5/PyMcaPlugins/ROIStackPlugin.py PyMca5/PyMcaPlugins/RegularMeshPlugin.py PyMca5/PyMcaPlugins/ReverseStackPlugin.py PyMca5/PyMcaPlugins/SilxExternalImagesStackPlugin.py PyMca5/PyMcaPlugins/SilxRoiStackPlugin.py PyMca5/PyMcaPlugins/SimpleShift.py PyMca5/PyMcaPlugins/StackAxesPlugin.py PyMca5/PyMcaPlugins/StackBrowserPlugin.py PyMca5/PyMcaPlugins/StackMotorInfoPlugin.py PyMca5/PyMcaPlugins/StackNormalizationPlugin.py PyMca5/PyMcaPlugins/StackPluginBase.py PyMca5/PyMcaPlugins/StackROIBatchPlugin.py PyMca5/PyMcaPlugins/StackScanWindowPlugin.py PyMca5/PyMcaPlugins/StackShowSpectra.py PyMca5/PyMcaPlugins/XASPlugin.py PyMca5/PyMcaPlugins/XASScanNormalizationPlugin.py PyMca5/PyMcaPlugins/XASSelfattenuationPlugin.py PyMca5/PyMcaPlugins/XASStackBatchPlugin.py PyMca5/PyMcaPlugins/XASStackNormalizationPlugin.py PyMca5/PyMcaPlugins/XMCDPlugin.py PyMca5/PyMcaPlugins/__init__.py PyMca5/PyMcaPlugins/optional/JsonRpc1DPlugin.py PyMca5/PyMcaPlugins/optional/TaurusPlugin1D.py PyMca5/scripts/edfviewer PyMca5/scripts/elementsinfo PyMca5/scripts/mca2edf PyMca5/scripts/peakidentifier PyMca5/scripts/pymca PyMca5/scripts/pymcabatch PyMca5/scripts/pymcapostbatch PyMca5/scripts/pymcaroitool PyMca5/scripts/rgbcorrelator PyMca5/tests/ConfigDictTest.py PyMca5/tests/DataTest.py PyMca5/tests/EdfFileTest.py PyMca5/tests/ElementsTest.py PyMca5/tests/GefitTest.py PyMca5/tests/PCAToolsTest.py PyMca5/tests/SpecfileTest.py PyMca5/tests/StackBaseTest.py PyMca5/tests/TestAll.py PyMca5/tests/__init__.py PyMca5/tests/specfilewrapperTest.py doc/man/edfviewer.1 doc/man/elementsinfo.1 doc/man/mca2edf.1 doc/man/peakidentifier.1 doc/man/pymca.1 doc/man/pymcabatch.1 doc/man/pymcapostbatch.1 doc/man/pymcaroitool.1 doc/man/rgbcorrelator.1 doc/source/PyMca5.EPDL97.rst doc/source/PyMca5.Object3D.Object3DPlugins.rst doc/source/PyMca5.Object3D.rst doc/source/PyMca5.PyMca.rst doc/source/PyMca5.PyMcaCore.rst doc/source/PyMca5.PyMcaGraph.backends.rst doc/source/PyMca5.PyMcaGraph.ctools.rst doc/source/PyMca5.PyMcaGraph.rst doc/source/PyMca5.PyMcaGui.io.hdf5.rst doc/source/PyMca5.PyMcaGui.io.rst doc/source/PyMca5.PyMcaGui.math.fitting.rst doc/source/PyMca5.PyMcaGui.math.rst doc/source/PyMca5.PyMcaGui.misc.rst doc/source/PyMca5.PyMcaGui.physics.rst doc/source/PyMca5.PyMcaGui.physics.xrf.rst doc/source/PyMca5.PyMcaGui.plotting.rst doc/source/PyMca5.PyMcaGui.pymca.rst doc/source/PyMca5.PyMcaGui.rst doc/source/PyMca5.PyMcaIO.rst doc/source/PyMca5.PyMcaMath.PyMcaSciPy.rst doc/source/PyMca5.PyMcaMath.PyMcaSciPy.signal.rst doc/source/PyMca5.PyMcaMath.fitting.rst doc/source/PyMca5.PyMcaMath.mva.py_nnma.rst doc/source/PyMca5.PyMcaMath.mva.rst doc/source/PyMca5.PyMcaMath.rst doc/source/PyMca5.PyMcaMath.sift.rst doc/source/PyMca5.PyMcaMisc.rst doc/source/PyMca5.PyMcaPhysics.rst doc/source/PyMca5.PyMcaPhysics.xas.rst doc/source/PyMca5.PyMcaPhysics.xrf.XRFMC.rst doc/source/PyMca5.PyMcaPhysics.xrf.rst doc/source/PyMca5.PyMcaPlugins.rst doc/source/PyMca5.rst doc/source/PyMca5.tests.rst doc/source/conf.py doc/source/index.rst doc/source/modules.rst icons/PyMca.icns icons/PyMca.ico icons/PyMca_256x256.png package/debian8/changelog package/debian8/clean package/debian8/compat package/debian8/control package/debian8/gbp.conf package/debian8/rules package/debian8/watch package/debian8/source/format package/debian8/source/options package/debian9/changelog package/debian9/clean package/debian9/compat package/debian9/control package/debian9/gbp.conf package/debian9/rules package/debian9/watch package/debian9/source/format package/debian9/source/options package/desktop/edfviewer.desktop package/desktop/elementsinfo.desktop package/desktop/peakidentifier.desktop package/desktop/pymca.desktop package/desktop/pymca.xpm package/desktop/pymcaroitool.desktop scripts/edfviewer.bat scripts/elementsinfo.bat scripts/mca2edf.bat scripts/peakidentifier.bat scripts/pymca.bat scripts/pymca_win_post_install.py scripts/pymcabatch.bat scripts/pymcapostbatch.bat scripts/pymcaroitool.bat scripts/rgbcorrelator.bat third-party/fisx/LICENSE third-party/fisx/MANIFEST.in third-party/fisx/README.rst third-party/fisx/TODO third-party/fisx/changelog.txt third-party/fisx/setup.py third-party/fisx/fisx_data/BindingEnergies.dat third-party/fisx/fisx_data/EADL97_BindingEnergies.dat third-party/fisx/fisx_data/EADL97_KShellConstants.dat third-party/fisx/fisx_data/EADL97_KShellNonradiativeRates.dat third-party/fisx/fisx_data/EADL97_KShellRadiativeRates.dat third-party/fisx/fisx_data/EADL97_LShellConstants.dat third-party/fisx/fisx_data/EADL97_LShellNonradiativeRates.dat third-party/fisx/fisx_data/EADL97_LShellRadiativeRates.dat third-party/fisx/fisx_data/EADL97_MShellConstants.dat third-party/fisx/fisx_data/EADL97_MShellNonradiativeRates.dat third-party/fisx/fisx_data/EADL97_MShellRadiativeRates.dat third-party/fisx/fisx_data/EPDL97_CrossSections.dat third-party/fisx/fisx_data/KShellConstants.dat third-party/fisx/fisx_data/KShellRates.dat third-party/fisx/fisx_data/LShellConstants.dat third-party/fisx/fisx_data/LShellRates.dat third-party/fisx/fisx_data/MShellConstants.dat third-party/fisx/fisx_data/MShellRates.dat third-party/fisx/fisx_data/XCOM_CrossSections.dat third-party/fisx/python/cython/Detector.pxd third-party/fisx/python/cython/EPDL97.pxd third-party/fisx/python/cython/Element.pxd third-party/fisx/python/cython/Elements.pxd third-party/fisx/python/cython/Layer.pxd third-party/fisx/python/cython/Material.pxd third-party/fisx/python/cython/Math.pxd third-party/fisx/python/cython/PyDetector.pyx third-party/fisx/python/cython/PyEPDL97.pyx third-party/fisx/python/cython/PyElement.pyx third-party/fisx/python/cython/PyElements.pyx third-party/fisx/python/cython/PyLayer.pyx third-party/fisx/python/cython/PyMaterial.pyx third-party/fisx/python/cython/PyMath.pyx third-party/fisx/python/cython/PyShell.pyx third-party/fisx/python/cython/PySimpleIni.pyx third-party/fisx/python/cython/PySimpleSpecfile.pyx third-party/fisx/python/cython/PyVersion.pyx third-party/fisx/python/cython/PyXRF.pyx third-party/fisx/python/cython/Shell.pxd third-party/fisx/python/cython/SimpleIni.pxd third-party/fisx/python/cython/SimpleSpecfile.pxd third-party/fisx/python/cython/Version.pxd third-party/fisx/python/cython/XRF.pxd third-party/fisx/python/cython/_fisx.pyx third-party/fisx/python/cython/default/_fisx.cpp third-party/fisx/python/fisx/DataDir.py third-party/fisx/python/fisx/FisxCythonTools.py third-party/fisx/python/fisx/__init__.py third-party/fisx/python/fisx/tests/__init__.py third-party/fisx/python/fisx/tests/testAll.py third-party/fisx/python/fisx/tests/testDataDir.py third-party/fisx/python/fisx/tests/testEPDL97.py third-party/fisx/python/fisx/tests/testElements.py third-party/fisx/python/fisx/tests/testSimpleSpecfile.py third-party/fisx/python/fisx/tests/testXRF.py third-party/fisx/src/fisx_beam.cpp third-party/fisx/src/fisx_beam.h third-party/fisx/src/fisx_defaultelementsinfo.h third-party/fisx/src/fisx_detector.cpp third-party/fisx/src/fisx_detector.h third-party/fisx/src/fisx_element.cpp third-party/fisx/src/fisx_element.h third-party/fisx/src/fisx_elements.cpp third-party/fisx/src/fisx_elements.h third-party/fisx/src/fisx_epdl97.cpp third-party/fisx/src/fisx_epdl97.h third-party/fisx/src/fisx_layer.cpp third-party/fisx/src/fisx_layer.h third-party/fisx/src/fisx_material.cpp third-party/fisx/src/fisx_material.h third-party/fisx/src/fisx_math.cpp third-party/fisx/src/fisx_math.h third-party/fisx/src/fisx_multilayer.cpp third-party/fisx/src/fisx_shell.cpp third-party/fisx/src/fisx_shell.h third-party/fisx/src/fisx_simpleini.cpp third-party/fisx/src/fisx_simpleini.h third-party/fisx/src/fisx_simplespecfile.cpp third-party/fisx/src/fisx_simplespecfile.h third-party/fisx/src/fisx_version.cpp third-party/fisx/src/fisx_version.h third-party/fisx/src/fisx_xrf.cpp third-party/fisx/src/fisx_xrf.h third-party/fisx/src/fisx_xrfconfig.cpp third-party/fisx/src/fisx_xrfconfig.h third-party/khronos_headers/GL/glcorearb.h third-party/khronos_headers/GL/glext.h third-party/khronos_headers/GL/glxext.h third-party/khronos_headers/GL/wglext.h third-party/qhull/Announce.txt third-party/qhull/COPYING.txt third-party/qhull/REGISTER.txt third-party/qhull/src/geom.c third-party/qhull/src/geom.h third-party/qhull/src/geom2.c third-party/qhull/src/global.c third-party/qhull/src/io.c third-party/qhull/src/io.h third-party/qhull/src/libqhull.c third-party/qhull/src/libqhull.h third-party/qhull/src/mem.c third-party/qhull/src/mem.h third-party/qhull/src/merge.c third-party/qhull/src/merge.h third-party/qhull/src/poly.c third-party/qhull/src/poly.h third-party/qhull/src/poly2.c third-party/qhull/src/qhull_a.h third-party/qhull/src/qset.c third-party/qhull/src/qset.h third-party/qhull/src/random.c third-party/qhull/src/random.h third-party/qhull/src/stat.c third-party/qhull/src/stat.h third-party/qhull/src/user.c third-party/qhull/src/user.h third-party/qhull/src/usermem.c third-party/qhull/src/userprintf.cPyMca5-5.2.2/PyMca5.egg-info/top_level.txt0000644000276300001750000000000713205526235020245 0ustar solebliss00000000000000PyMca5 PyMca5-5.2.2/PyMca5.egg-info/dependency_links.txt0000644000276300001750000000000113205526235021564 0ustar solebliss00000000000000 PyMca5-5.2.2/PyMca5.egg-info/PKG-INFO0000644000276300001750000000237113205526235016616 0ustar solebliss00000000000000Metadata-Version: 1.1 Name: PyMca5 Version: 5.2.2 Summary: Mapping and X-Ray Fluorescence Analysis Home-page: http://pymca.sourceforge.net Author: V. Armando Sole Author-email: sole@esrf.fr License: MIT Download-URL: https://github.com/vasole/pymca/archive/v5.2.2.tar.gz Description: Stand-alone application and Python tools for interactive and/or batch processing analysis of X-Ray Fluorescence Spectra. Graphical user interface (GUI) and batch processing capabilities provided Platform: any Classifier: Development Status :: 5 - Production/Stable Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 3 Classifier: Intended Audience :: Developers Classifier: Intended Audience :: End Users/Desktop Classifier: Intended Audience :: Science/Research Classifier: License :: OSI Approved :: MIT License Classifier: Topic :: Software Development :: Libraries :: Python Modules Classifier: Operating System :: Microsoft :: Windows Classifier: Operating System :: Unix Classifier: Operating System :: MacOS :: MacOS X Classifier: Operating System :: POSIX Classifier: Topic :: Scientific/Engineering :: Chemistry Classifier: Topic :: Scientific/Engineering :: Physics Classifier: Topic :: Scientific/Engineering :: Visualization PyMca5-5.2.2/py2app_setup.py0000755000276300001750000001130513205526205015733 0ustar solebliss00000000000000# # These Python modules have been developed by V.A. Sole, from the European # Synchrotron Radiation Facility (ESRF) to build a frozen version of PyMca. # Given the nature of this work, these module can be considered public domain. # Therefore redistribution and use in source and binary forms, with or without # modification, are permitted provided the following disclaimer is accepted: # # # THIS SOFTWARE IS PROVIDED BY THE AUTHOR(S) AND THE ESRF ``AS IS'' AND ANY # EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED # WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE AUTHOR(S) AND/OR THE ESRF BE LIABLE FOR ANY # DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES # (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND # ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # """ Script for building the PyMca bundle. For a distributable application Platypus is needed Usage: python py2app_setup.py py2app """ try: from setuptools import setup except ImportError: from distutils.core import setup import py2app import os import sys #force a clean build os.system("/bin/rm -rf dist") os.system("/bin/rm -rf build") os.system("/bin/rm -rf *.pyc") BUNDLE_ICON = os.path.join(os.path.abspath('icons'), 'PyMca.icns') #obtain the current PyMca version from the source file ffile = open(os.path.join('PyMca5', '__init__.py'), 'r').readlines() for line in ffile: if line.startswith('__version__'): #remove spaces and split __version__ = "%s" % line.replace(' ','').split("=")[-1][:-1] #remove " or ' present __version__ = __version__[1:-1] break PyMcaInstallationDir = os.path.abspath("build") PyMcaDir = os.path.join(PyMcaInstallationDir, "PyMca5") #make sure PyMca is freshly built cmd = "setup.py install --distutils --install-lib %s --install-data %s --install-scripts /tmp/scripts" % \ (PyMcaInstallationDir, PyMcaInstallationDir) cmd = sys.executable + " " + cmd if os.system(cmd): print("Error building PyMca") sys.exit(1) # awful workaround because py2app picks PyMca form the source directory os.chdir(PyMcaInstallationDir) sys.path.insert(0, PyMcaInstallationDir) pymcapath = PyMcaDir application=os.path.join(pymcapath, 'PyMcaGui','pymca', "PyMcaMain.py") #The options below are equivalent to running from the command line #python py2app_setup.py py2app --packages=matplotlib,ctypes,h5py,Object3D #probably matplotlib and PyOpenGL are properly detected by py2app PACKAGES = ['fisx', 'OpenGL','ctypes','matplotlib', 'h5py','hdf5plugin','logging', 'PyMca5'] try: import PyQt4.Qt except ImportError: print("Using PyQt5") PACKAGES.append("PyQt5") import silx PACKAGES.append("silx") try: import mdp PACKAGES.append('mdp') except: pass try: import pyopencl PACKAGES.append('pyopencl') except: pass PY2APP_OPTIONS = {'packages':PACKAGES} if "PyQt5" in PACKAGES: PY2APP_OPTIONS['qt_plugins'] = ["cocoa"] if os.path.exists(BUNDLE_ICON): PY2APP_OPTIONS['iconfile'] = BUNDLE_ICON else: BUNDLE_ICON = None PY2APP_OPTIONS["excludes"] = ["scipy"] if sys.version.startswith("2"): PY2APP_OPTIONS["excludes"].append("PyQt4.uic.port_v3") PY2APP_OPTIONS["excludes"].append("PyQt5.uic.port_v3") setup( app=[application], options={'py2app':PY2APP_OPTIONS} ) # move to the proper place os.system("mv -f ./dist ../dist") os.chdir(os.path.dirname(PyMcaInstallationDir)) #Command line call to Platypus ... platypusFile = '/usr/local/bin/platypus' if os.path.exists(platypusFile): import subprocess args = [platypusFile, '-R', '-a', 'PyMca%s' % __version__, '-o', 'Progress Bar', '-p', '/bin/bash', '-V', '%s' % __version__, '-I', 'ESRF.sole.PyMca%s' % __version__, '-y', #force overwrite '-f', os.path.join(os.getcwd(),'dist', 'PyMcaMain.app')] if BUNDLE_ICON is not None: args.append('-i') args.append(BUNDLE_ICON) args.append(os.path.join(os.getcwd(), 'PlatypusScript')) process = subprocess.call(args) py2app_bundle = os.path.join(os.getcwd(), 'PyMca%s.app' % __version__, "Contents", "Resources", "PyMcaMain.app") if not os.path.exists(py2app_bundle): print("Forcing copy") os.system("cp -R ./dist/PyMcaMain.app "+ os.path.dirname(py2app_bundle)) PyMca5-5.2.2/copyright0000644000276300001750000002513013203352103014647 0ustar solebliss00000000000000Format: https://www.debian.org/doc/packaging-manuals/copyright-format/1.0/ Upstream-Name: PyMCA Upstream-Contact: V. Armando Sole Files-Excluded: PyMca5/PyMcaMath/sift third-party/qhull third-party/fisx third-party/khronos_headers Files: * Copyright: 2004-2013 European Synchrotron Radiation Facility License: Expat Files: PyMca5/* Copyright: 2002, 2004-2015, European Synchrotron Radiation Facility License: Expat Files: PyMca5/Object3D/* Copyright: 2004-2013 European Synchrotron Radiation Facility License: LGPL-2+ Files: PyMca5/Object3D/Object3DCTools/* Copyright: 2004-2015, Cory Bloyd (corysama@yahoo.com) License: Expat Files: PyMca5/Object3D/Object3DCTools/Object3DCTools.c PyMca5/Object3D/Object3DCTools/setup.py Copyright: 2004-2015, V.A. Sole, European Synchrotron Radiation Facility License: Expat Files: PyMca5/Object3D/Object3DQhull/* Copyright: 2004-2014 European Synchrotron Radiation Facility (ESRF) License: Expat Files: PyMca5/Object3D/Object3DQhull/Object3DQhull.c Copyright: 2004-2015, V.A. Sole, European Synchrotron Radiation Facility License: LGPL-2+ Files: PyMca5/Object3D/scripts/* Copyright: 2002, 2004-2015, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMca/* Copyright: 2004-2015, V.A. Sole, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaCore/XiaCorrect.py Copyright: 2004-2014, E. Papillon, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaData/* Copyright: 2004-2014 European Synchrotron Radiation Facility (ESRF) License: Expat Files: PyMca5/PyMcaGraph/ctools/_ctools/include/InsidePolygonWithBounds.h Copyright: Paul Bourke License: Expat Files: PyMca5/PyMcaGraph/ctools/_ctools/src/InsidePolygonWithBounds.c Copyright: Paul Bourke License: Expat Files: PyMca5/PyMcaGui/* Copyright: 2004-2014 European Synchrotron Radiation Facility (ESRF) License: Expat Files: PyMca5/PyMcaGui/io/QEdfFileWidget.py PyMca5/PyMcaGui/io/QSpsWidget.py PyMca5/PyMcaGui/io/SpecFileCntTable.py PyMca5/PyMcaGui/io/SpecFileMcaTable.py Copyright: 2004-2015, E. Papillon, V.A. Sole, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaGui/io/QSpecFileWidget.py Copyright: 2004-2014, E. Papillon, V.A. Sole, European Synchrotron Radiation Facility / < other.text) License: Expat Files: PyMca5/PyMcaGui/io/hdf5/HDF5Widget.py Copyright: 2004-2014, V.A. Sole, ESRF - D. Dale CHESS License: Expat Files: PyMca5/PyMcaGui/misc/QIPythonWidget.py Copyright: no-info-found License: Expat Files: PyMca5/PyMcaGui/physics/* Copyright: 2002, 2004-2015, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaGui/plotting/ImageView.py PyMca5/PyMcaGui/plotting/_ImageProfile.py Copyright: 2002, 2004-2015, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaGui/pymca/PyMca_help.py Copyright: 2004-2015, E. Papillon, V.A. Sole, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaGui/pymca/StackROIBatchWindow.py PyMca5/PyMcaGui/pymca/StackXASBatchWindow.py Copyright: 2002, 2004-2015, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaGui/pymca/SumRulesTool.py PyMca5/PyMcaGui/pymca/XMCDWindow.py Copyright: 2004-2015, T. Rueter, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaGui/pymca/XiaCorrectWizard.py Copyright: 2004-2014, E. Papillon, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaIO/MEDFile.py Copyright: 2010, Matthew Newville, The University of Chicago License: Expat Files: PyMca5/PyMcaIO/PyMcaIOHelper/* Copyright: 2004-2015, V.A. Sole, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaIO/specfile/* Copyright: 2004-2013 European Synchrotron Radiation Facility License: LGPL-2+ Files: PyMca5/PyMcaIO/specfile/include/locale_management.h Copyright: 2004-2015, European Synchrotron Radiation Facility License: LGPL-2+ Files: PyMca5/PyMcaIO/specfile/setup.py Copyright: 2002, 2004-2015, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaIO/specfile/src/* Copyright: 2004-2015, European Synchrotron Radiation Facility License: LGPL-2+ Files: PyMca5/PyMcaIO/sps/Include/* Copyright: 1998-2015, European Synchrotron Radiation Facility (ESRF) License: Expat Files: PyMca5/PyMcaIO/sps/Include/spec_shm.h Copyright: 1995-2010, Certified Scientific Software License: Expat Files: PyMca5/PyMcaIO/sps/Include/sps.h Copyright: 1998-2013, Certified Scientific Software (CSS) 1998-2011, European Synchrotron Radiation Facility (ESRF) License: Expat Files: PyMca5/PyMcaIO/sps/Include/sps_lut.h Copyright: 2004-2009, European Synchrotron Radiation Facility License: GPL-2+ Files: PyMca5/PyMcaIO/sps/Src/sps.c Copyright: 1998-2013, Certified Scientific Software (CSS) 1998-2011, European Synchrotron Radiation Facility (ESRF) License: Expat Files: PyMca5/PyMcaIO/sps/Src/sps_py.c Copyright: 1998-2015, European Synchrotron Radiation Facility (ESRF) License: Expat Files: PyMca5/PyMcaMath/PyMcaSciPy/* Copyright: 1999-2005 Travis Oliphant 2001-2002 Enthought, Inc. 2002 Eric Jones 2002 Patrick J. Miller 2002-2003 Jochen Kuepper 2002-2004 Pearu Peterson 2002-2005 Jean-Sebastien Roy 2003-2005 Peter J. Verveer 2003-2006 Ed Schofield 2003-2012 SciPy Developers. 2004 David M. Cooke 2006 Bart Vandereycken 2006 BasSw 2006 Johannes Loehnert 2007 Andrew D Straw 2007 John Travers, Robert Hetland 2007-2008 Damian Eads 2008 Tiziano Zito Gary Strangman 2010 Pauli Virtanen 2010, 2011 Pim Schellart 2009 Yosef Meller License: BSD-3-clause Files: PyMca5/PyMcaMath/PyMcaSciPy/signal/__init__.py PyMca5/PyMcaMath/PyMcaSciPy/signal/median.py Copyright: 2002, 2004-2015, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaMath/SGModule.py Copyright: 2008, Uwe Schmitt License: Expat Files: PyMca5/PyMcaMath/mva/NNMAModule.py Copyright: 2008, 2009, Uwe Schmitt, uschmitt@mineway.de License: BSD-3-clause Files: PyMca5/PyMcaMath/mva/py_nnma/* Copyright: 2008 Uwe Schmitt, uschmitt@mineway.de, 2007 D. Kim, S. Sra and I. S. Dhillon License: BSD-3-clause Files: PyMca5/PyMcaPlugins/* Copyright: 2004-2015, V.A. Sole, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaPlugins/AdvancedAlignmentScanPlugin.py Copyright: 2004-2014, T. Rueter, V.A. Sole, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaPlugins/MedianFilterScanDeglitchPlugin.py Copyright: 2004-2015, T.Rueter, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaPlugins/MotorInfoPlugin.py PyMca5/PyMcaPlugins/MotorInfoWindow.py PyMca5/PyMcaPlugins/XMCDPlugin.py Copyright: 2004-2015, T. Rueter, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaPlugins/MultipleScanToMeshPlugin.py Copyright: 2004-2014, M. Rovezzi, V.A. Sole European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaPlugins/optional/* Copyright: 2002, 2004-2015, European Synchrotron Radiation Facility License: Expat Files: PyMca5/PyMcaPlugins/optional/TaurusPlugin1D.py Copyright: 2004-2015, V.A. Sole, T. Coutinho, European Synchrotron Radiation Facility License: Expat Files: PyMca5/__init__.py Copyright: 2004-2015, V.A. Sole, European Synchrotron Radiation Facility License: Expat Files: debian/* Copyright: 2009-2010 Teemu Ikonen 2010-2015 Picca Frederic-Emmanuel License: GPL-2+ Files: scripts/* Copyright: 2004-2013, V. Armando Sole - ESRF License: Expat License: BSD-3-clause Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: . a. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. b. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. c. Neither the name of Enthought nor the names of the SciPy Developers may be used to endorse or promote products derived from this software without specific prior written permission. . . THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIEED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIEED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. License: Expat Permission is hereby granted, free of charge, to any person obtaining a copy of the software in these files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: . The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. . THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIExpatED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. License: GPL-2+ This toolkit is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. . In Debian systems, the GNU General Public License version 2 can be found at /usr/share/common-licenses/GPL-2 License: LGPL-2+ This toolkit is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. . In Debian systems, the GNU General Public License version 2 can be found at /usr/share/common-licenses/LGPL-2 PyMca5-5.2.2/PyMca5/0000755000276300001750000000000013205526235014024 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/tests/0000755000276300001750000000000013205526235015166 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/tests/ElementsTest.py0000644000276300001750000003154113136054446020163 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import unittest import os import numpy DEBUG = 0 class testElements(unittest.TestCase): ELEMENTS = ['H', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr', 'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe', 'Cs', 'Ba', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn', 'Fr', 'Ra', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt'] def setUp(self): """ Get the data directory """ try: from PyMca5 import PyMcaDataDir self.dataDir = PyMcaDataDir.PYMCA_DATA_DIR except: self.dataDir = None from PyMca5.PyMcaPhysics import Elements self._elements = Elements def testDataDirectoryPresence(self): # Testing directory presence try: self.assertTrue(self.dataDir is not None) self.assertTrue(os.path.exists(self.dataDir)) self.assertTrue(os.path.isdir(self.dataDir)) except: print("\n Cannot find PyMcaData directory: %s" % self.dataDir) raise def testPeakIdentification(self): # energy in keV energy = 5.9 # 10 eV threshold threshold = 0.010 lines = self._elements.getcandidates(energy, threshold=threshold, targetrays=['K']) self.assertTrue(len(lines[0]['elements']) == 1) self.assertTrue(lines[0]['energy'] == energy) self.assertTrue(lines[0]['elements'][0] == 'Mn') energy = 10.550 threshold = 0.030 lines = self._elements.getcandidates(energy, threshold=threshold, targetrays=['K']) self.assertTrue(len(lines[0]['elements']) == 1) self.assertTrue(lines[0]['energy'] == energy) self.assertTrue('As' in lines[0]['elements']) self.assertTrue('Pb' not in lines[0]['elements']) # Test K and L lines lines = self._elements.getcandidates(energy, threshold=threshold, targetrays=['K', 'L']) self.assertTrue(len(lines[0]['elements']) > 1) self.assertTrue('As' in lines[0]['elements']) self.assertTrue('Pb' in lines[0]['elements']) # Test all energy = 2.280 threshold = 0.030 lines = self._elements.getcandidates(energy, threshold=threshold) self.assertTrue(len(lines[0]['elements']) > 1) self.assertTrue('As' not in lines[0]['elements']) self.assertTrue('Pb' not in lines[0]['elements']) self.assertTrue('S' in lines[0]['elements']) self.assertTrue('Hg' in lines[0]['elements']) def testElementCrossSectionsReadout(self): if DEBUG: print() print("Test XCOM Cross Sections Readout") from PyMca5 import getDataFile from PyMca5.PyMcaIO import specfile xcomFile = getDataFile('XCOM_CrossSections.dat') sf = specfile.Specfile(xcomFile) for ele in ['Si', 'Fe', 'Pb', 'U']: if DEBUG: print("Testing element %s" % ele) z = self._elements.getz(ele) scan = sf[z-1] xcomLabels = scan.alllabels() self.assertTrue('ENERGY' in xcomLabels[0].upper()) self.assertTrue('COHERENT' in xcomLabels[1].upper()) self.assertTrue('COMPTON' in xcomLabels[2].upper()) self.assertTrue('PHOTO' in xcomLabels[-3].upper()) self.assertTrue('PAIR' in xcomLabels[-2].upper()) self.assertTrue('TOTAL' in xcomLabels[-1].upper()) xcomData = scan.data() # WARNING: This call is to read XCOM data # only in case energy is None the data are the same as # those found later on in the 'xcom' key of the element. data = self._elements.getelementmassattcoef(ele, energy=None) # The original data are in the xcom key data = self._elements.Element[ele]['xcom'] # Energy grid self.assertTrue(numpy.allclose(data['energy'], xcomData[0, :])) # Test the different cross sections self.assertTrue(numpy.allclose(data['coherent'], xcomData[1, :])) self.assertTrue(numpy.allclose(data['compton'], xcomData[2, :])) self.assertTrue(numpy.allclose(data['photo'], xcomData[-3, :])) self.assertTrue(numpy.allclose(data['pair'], xcomData[-2, :])) self.assertTrue(numpy.allclose(data['total'], xcomData[-1, :])) total = xcomData[1, :] + xcomData[2, :] +\ xcomData[-3, :] + xcomData[-2, :] # Check the total is self-consistent self.assertTrue(numpy.allclose(total, xcomData[-1, :])) def getCrossSections(self, element, energy): # perform log-log interpolation in the read data # to see if we get the same results # now perform a log-log interpolation when needed # lin-lin interpolation: # # y0 (x1-x) + y1 (x-x0) # y = ------------------------- # x1 - x0 # # log-log interpolation: # # log(y0) * log(x1/x) + log(y1) * log(x/x0) # log(y) = ------------------------------------------ # log (x1/x0) # log = numpy.log10 # make sure data for the element are loaded # the test for proper loading is made somewhere else self._elements.getelementmassattcoef(element) # and work with them xcomData = self._elements.Element[element]['xcom'] i0 = numpy.nonzero(xcomData['energy'] <= energy)[0].max() i1 = numpy.nonzero(xcomData['energy'] >= energy)[0].min() x = numpy.array(energy) x0 = xcomData['energy'][i0] x1 = xcomData['energy'][i1] ddict = {} total = 0.0 for key in ['coherent', 'compton', 'photo']: y0 = xcomData[key][i0] y1 = xcomData[key][i1] if x1 != x0: logy = (log(y0) * log(x1/x) + log(y1) * log(x/x0))\ /log(x1/x0) y = pow(10.0, logy) else: y = y1 ddict[key] = y total += y ddict['total'] = total return ddict def testElementCrossSectionsCalculation(self): if DEBUG: print() print("Testing Element Mass Attenuation Cross Sections Calculation") for ele in ['Ge', 'Mn', 'Au', 'U']: if DEBUG: print("Testing element = %s" % ele) # take a set of energies not present in the grid energyList = [1.0533, 2.03166, 5.82353, 10.3123, 24.7431] data = self._elements.getelementmassattcoef(ele, energy=energyList) energyIndex = 0 for x in energyList: if DEBUG: print("Testing energy %f" % x) refData = self.getCrossSections(ele, x) for key in ['coherent', 'compton', 'photo', 'total']: if DEBUG: print("Testing key = %s" % key) yRef = refData[key] yTest = data[key][energyIndex] self.assertTrue((100.0 * abs(yTest-yRef)/yRef) < 0.01) energyIndex += 1 def testMaterialCrossSectionsCalculation(self): if DEBUG: print() print("Testing Material Mass Attenuation Cross Sections Calculation") formulae = ['H2O1', 'Hg1S1', 'Ca1C1O3'] unpackedFormulae = [(('H', 2), ('O', 1)), (('Hg', 1), ('S', 1)), (('Ca', 1), ('C', 1.0), ('O', 3.0))] for i in range(len(unpackedFormulae)): if DEBUG: print("Testing formula %s" % formulae[i]) # calculate mass fractions totalMass = 0.0 massFractions = numpy.zeros((len(unpackedFormulae[i]),), numpy.float) j = 0 for ele, amount in unpackedFormulae[i]: tmpValue = amount * self._elements.Element[ele]['mass'] totalMass += tmpValue massFractions[j] = tmpValue j += 1 massFractions /= totalMass # the list of energies energyList = [1.5, 3.33, 10., 20.4, 30.6, 90.33] # get the data to be checked data = self._elements.getmassattcoef(formulae[i], energyList) energyIndex = 0 for energy in energyList: if DEBUG: print("Testing energy %f" % energy) # initialize reference data refData = {} for key in ['coherent', 'compton', 'photo', 'total']: refData[key] = 0.0 # calculate reference data for j in range(len(unpackedFormulae[i])): ele = unpackedFormulae[i][j][0] tmpData = self.getCrossSections(ele, energy) for key in ['coherent', 'compton', 'photo', 'total']: refData[key] += tmpData[key] * massFractions[j] # test for key in ['coherent', 'compton', 'photo', 'total']: if DEBUG: print("Testing key %s" % key) yRef = refData[key] yTest = data[key][energyIndex] self.assertTrue((100.0 * abs(yTest-yRef)/yRef) < 0.01) energyIndex += 1 def getSuite(auto=True): testSuite = unittest.TestSuite() if auto: testSuite.addTest(\ unittest.TestLoader().loadTestsFromTestCase(testElements)) else: testSuite.addTest(testElements("testDataDirectoryPresence")) testSuite.addTest(testElements("testPeakIdentification")) testSuite.addTest(testElements("testElementCrossSectionsReadout")) testSuite.addTest(testElements("testElementCrossSectionsCalculation")) testSuite.addTest(testElements("testMaterialCrossSectionsCalculation")) return testSuite def test(auto=False): unittest.TextTestRunner(verbosity=2).run(getSuite(auto=auto)) if __name__ == '__main__': DEBUG = 1 test() PyMca5-5.2.2/PyMca5/tests/ConfigDictTest.py0000644000276300001750000001146513136054446020423 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import unittest import sys import os import gc import tempfile class testConfigDict(unittest.TestCase): def setUp(self): """ import the module """ try: from PyMca5.PyMcaIO import ConfigDict self._module = ConfigDict except: self._module = None self._tmpFileName = None def tearDown(self): """clean up any possible files""" gc.collect() if self._tmpFileName is not None: if os.path.exists(self._tmpFileName): os.remove(self._tmpFileName) def testConfigDictImport(self): #"""Test successful import""" self.assertTrue(self._module is not None,\ "Unsuccessful PyMca.ConfigDict import") def testConfigDictIO(self): # create a dictionnary from PyMca5.PyMcaIO import ConfigDict testDict = {} testDict['simple_types'] = {} testDict['simple_types']['float'] = 1.0 testDict['simple_types']['int'] = 1 testDict['simple_types']['string'] = "Hello World" testDict['containers'] = {} testDict['containers']['list'] = [-1, 'string', 3.0] if ConfigDict.USE_NUMPY: import numpy testDict['containers']['array'] = numpy.array([1.0, 2.0, 3.0]) testDict['containers']['dict'] = {'key1': 'Hello World', 'key2': 2.0} tmpFile = tempfile.mkstemp(text=False) os.close(tmpFile[0]) self._tmpFileName = tmpFile[1] writeInstance = ConfigDict.ConfigDict(initdict=testDict) writeInstance.write(self._tmpFileName) #read the data back readInstance = ConfigDict.ConfigDict() readInstance.read(self._tmpFileName) # get read key list testDictKeys = list(testDict.keys()) readKeys = list(readInstance.keys()) self.assertTrue(len(readKeys) == len(testDictKeys), "Number of read keys not equal to number of written keys") topKey = 'simple_types' for key in testDict[topKey]: original = testDict[topKey][key] read = readInstance[topKey][key] self.assertTrue( read == original, "Read <%s> instead of <%s>" % (read, original)) topKey = 'containers' for key in testDict[topKey]: original = testDict[topKey][key] read = readInstance[topKey][key] if key == 'array': self.assertTrue( read.all() == original.all(), "Read <%s> instead of <%s>" % (read, original)) else: self.assertTrue( read == original, "Read <%s> instead of <%s>" % (read, original)) def getSuite(auto=True): testSuite = unittest.TestSuite() if auto: testSuite.addTest(\ unittest.TestLoader().loadTestsFromTestCase(testConfigDict)) else: # use a predefined order testSuite.addTest(testConfigDict("testConfigDictImport")) testSuite.addTest(testConfigDict("testConfigDictIO")) return testSuite def test(auto=False): unittest.TextTestRunner(verbosity=2).run(getSuite(auto=auto)) if __name__ == '__main__': test() PyMca5-5.2.2/PyMca5/tests/__init__.py0000644000276300001750000000440613136054446017306 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os if os.path.exists('PyMca5'): if os.path.exists('setup.py'): if os.path.exists('py2app_setup.py'): txt ='Tests cannnot be imported from top source directory' raise ImportError(txt) from PyMca5.tests.TestAll import main as testAll from PyMca5.tests.ConfigDictTest import test as testConfigDict from PyMca5.tests.EdfFileTest import test as testEdfFile from PyMca5.tests.ElementsTest import test as testElements from PyMca5.tests.GefitTest import test as testGefit from PyMca5.tests.PCAToolsTest import test as testPCATools from PyMca5.tests.SpecfileTest import test as testSpecfile from PyMca5.tests.specfilewrapperTest import test as testSpecfilewrapper PyMca5-5.2.2/PyMca5/tests/PCAToolsTest.py0000644000276300001750000002007113136054446020027 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import unittest import numpy import numpy.linalg try: import mdp MDP = True except: # MDP can give very weird errors MDP = False class testPCATools(unittest.TestCase): def testPCAToolsImport(self): from PyMca5.PyMcaMath.mva import PCATools def testPCAToolsCovariance(self): from PyMca5.PyMcaMath.mva.PCATools import getCovarianceMatrix x = numpy.array([[0.0, 2.0, 3.0], [3.0, 0.0, -1.0], [4.0, -4.0, 4.0], [4.0, 4.0, 4.0]]) nSpectra = x.shape[0] # test just multiplication tmpArray = numpy.dot(x.T, x) for force in [True, False]: pymcaCov, pymcaAvg, nData = getCovarianceMatrix(x, force=force, center=False) self.assertTrue(numpy.allclose(tmpArray, pymcaCov * (nData - 1))) # calculate covariance using numpy numpyCov = numpy.cov(x.T) numpyAvg = x.sum(axis=0).reshape(-1, 1) / nSpectra tmpArray = x.T - numpyAvg numpyCov2 = numpy.dot(tmpArray, tmpArray.T) / nSpectra numpyAvg = numpyAvg.reshape(1, -1) # calculate covariance using PCATools and 2D stack # directly and dynamically loading data for force in [False, True]: pymcaCov, pymcaAvg, nData = getCovarianceMatrix(x, force=force, center=True) self.assertTrue(numpy.allclose(numpyCov, pymcaCov)) self.assertTrue(numpy.allclose(numpyAvg, pymcaAvg)) self.assertTrue(nData == nSpectra) # calculate covariance using PCATools and 3D stack # directly and dynamically loading data x.shape = 2, 2, -1 for force in [False, True]: pymcaCov, pymcaAvg, nData = getCovarianceMatrix(x, force=force, center=True) self.assertTrue(numpy.allclose(numpyCov, pymcaCov)) self.assertTrue(numpy.allclose(numpyAvg, pymcaAvg)) self.assertTrue(nData == nSpectra) def testPCAToolsPCA(self): from PyMca5.PyMcaMath.mva.PCATools import numpyPCA x = numpy.array([[0.0, 2.0, 3.0], [3.0, 0.0, -1.0], [4.0, -4.0, 4.0], [4.0, 4.0, 4.0]]) # that corresponds to 4 spectra of 3 channels nSpectra = x.shape[0] # calculate eigenvalues and eigenvectors with numpy tmpArray = numpy.dot(x.T, x)/(nSpectra - 1) numpyEigenvalues, numpyEigenvectors = numpy.linalg.eigh(tmpArray) # sort from higher to lower idx = list(range(numpyEigenvalues.shape[0]-1, -1 , -1)) numpyEigenvalues = numpy.take(numpyEigenvalues, idx) numpyEigenvectors = numpyEigenvectors[:, ::-1].T # now use PyMca # centering has to be false to obtain the same results for force in [True, False]: images, eigenvalues, eigenvectors = numpyPCA(x, ncomponents=x.shape[1], force=force, center=False, scale=False) self.assertTrue(numpy.allclose(eigenvalues, numpyEigenvalues)) self.assertTrue(numpy.allclose(eigenvectors, numpyEigenvectors)) # test with a different shape x.shape = 2, 2, -1 for force in [True, False]: images, eigenvalues, eigenvectors = numpyPCA(x, ncomponents=3, force=force, center=False, scale=False) self.assertTrue(numpy.allclose(eigenvalues, numpyEigenvalues)) self.assertTrue(numpy.allclose(eigenvectors, numpyEigenvectors)) if MDP: def testPCAToolsMDP(self): from PyMca5.PyMcaMath.mva.PCATools import getCovarianceMatrix, numpyPCA x = numpy.array([[0.0, 2.0, 3.0], [3.0, 0.0, -1.0], [4.0, -4.0, 4.0], [4.0, 4.0, 4.0]]) # use mdp pcaNode = mdp.nodes.PCANode() pcaNode.train(x) pcaNode.stop_training() pcaEigenvectors = pcaNode.v.T # and compare with PyMca for force in [True, False]: images, eigenvalues, eigenvectors = numpyPCA(x, ncomponents=x.shape[1], force=force, center=True, scale=False) # the eigenvalues must be the same self.assertTrue(numpy.allclose(eigenvalues, pcaNode.d)) # the eigenvectors can be multiplied by -1 for i in range(x.shape[1]): if (eigenvectors[i,0] >= 0 and pcaEigenvectors[i,0] >=0) or\ (eigenvectors[i,0] <= 0 and pcaEigenvectors[i,0] <=0): # both same sign self.assertTrue(numpy.allclose(eigenvectors[i], pcaEigenvectors[i])) else: self.assertTrue(numpy.allclose(-eigenvectors[i], pcaEigenvectors[i])) def getSuite(auto=True): testSuite = unittest.TestSuite() if auto: testSuite.addTest(\ unittest.TestLoader().loadTestsFromTestCase(testPCATools)) else: # use a predefined order testSuite.addTest(testPCATools("testPCAToolsImport")) testSuite.addTest(testPCATools("testPCAToolsCovariance")) testSuite.addTest(testPCATools("testPCAToolsPCA")) if MDP: testSuite.addTest(testPCATools("testPCAToolsMDP")) return testSuite def test(auto=False): unittest.TextTestRunner(verbosity=2).run(getSuite(auto=auto)) if __name__ == '__main__': test() PyMca5-5.2.2/PyMca5/tests/SpecfileTest.py0000644000276300001750000001436313136054446020144 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import unittest import sys import os import gc import tempfile class testSpecfile(unittest.TestCase): def setUp(self): """ import the module """ try: from PyMca5.PyMcaIO import specfile self.specfileClass = specfile except: self.specfileClass = None if self.specfileClass is not None: text = "#F \n" text += "\n" text += "#S 10 Undefined command 0\n" text += "#N 3\n" text += "#L First label Second label Third label\n" text += "10 100 1000\n" text += "20 400 8000\n" text += "30 900 270000\n" text += "\n" text += "#S 20 Undefined command 1\n" text += "#N 3\n" text += "#L First Second Third\n" text += "1.3 1 1\n" text += "2.5 4 8\n" text += "3.7 9 27\n" text += "\n" tmpFile = tempfile.mkstemp(text=False) if sys.version < '3.0': os.write(tmpFile[0], text) else: os.write(tmpFile[0], bytes(text, 'utf-8')) os.close(tmpFile[0]) self.fname = tmpFile[1] def tearDown(self): """clean up any possible files""" # make sure the file handle is free self._sf = None self._scan = None # this should free the handle gc.collect() if self.specfileClass is not None: if os.path.exists(self.fname): os.remove(self.fname) def testSpecfileImport(self): #"""Test successful import""" self.assertTrue(self.specfileClass is not None, 'Unsuccessful PyMca5.PyMcaIO.specfile import') def testSpecfileReading(self): #"""Test specfile readout""" self.testSpecfileImport() self._sf = self.specfileClass.Specfile(self.fname) # test the number of found scans self.assertEqual(len(self._sf), 2, 'Expected to read 2 scans, read %s' %\ len(self._sf)) self.assertEqual(self._sf.scanno(), 2, 'Expected to read 2 scans, got %s' %\ self._sf.scanno()) # test scan iteration selection method self._scan = self._sf[1] labels = self._scan.alllabels() expectedLabels = ['First', 'Second', 'Third'] self.assertEqual(len(labels), 3, 'Expected to read 3 scans, got %s' % len(labels)) for i in range(3): self.assertEqual(labels[i], expectedLabels[i], 'Read "%s" instead of "%s"' %\ (labels[i], expectedLabels[i])) # test scan number selection method self._scan = self._sf.select('20.1') labels = self._scan.alllabels() sf = None expectedLabels = ['First', 'Second', 'Third'] self.assertEqual(len(labels), 3, 'Expected to read 3 labels, got %s' % len(labels)) for i in range(3): self.assertEqual(labels[i], expectedLabels[i], 'Read "%s" instead of "%s"' %\ (labels[i], expectedLabels[i])) gc.collect() def testSpecfileReadingCompatibleWithUserLocale(self): #"""Test specfile compatible with C locale""" self.testSpecfileImport() self._sf = self.specfileClass.Specfile(self.fname) self._scan = self._sf[1] datacol = self._scan.datacol(1) data = self._scan.data() self._sf = None self.assertEqual(datacol[0], 1.3, 'Read %f instead of %f' %\ (datacol[0], 1.3)) self.assertEqual(datacol[1], 2.5, 'Read %f instead of %f' %\ (datacol[1], 2.5)) self.assertEqual(datacol[2], 3.7, 'Read %f instead of %f' %\ (datacol[2], 3.7)) self.assertEqual(datacol[1], data[0][1], 'Read %f instead of %f' %\ (datacol[1], data[0][1])) gc.collect() def getSuite(auto=True): testSuite = unittest.TestSuite() if auto: testSuite.addTest(\ unittest.TestLoader().loadTestsFromTestCase(testSpecfile)) else: # use a predefined order testSuite.addTest(testSpecfile("testSpecfileImport")) testSuite.addTest(testSpecfile("testSpecfileReading")) testSuite.addTest(\ testSpecfile("testSpecfileReadingCompatibleWithUserLocale")) return testSuite def test(auto=False): unittest.TextTestRunner(verbosity=2).run(getSuite(auto=auto)) if __name__ == '__main__': test() PyMca5-5.2.2/PyMca5/tests/specfilewrapperTest.py0000644000276300001750000001574213136054446021607 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import unittest import sys import os import gc import tempfile class testSpecfilewrapper(unittest.TestCase): def setUp(self): """ import the module """ try: from PyMca5.PyMcaIO import specfilewrapper as specfile self.specfileClass = specfile except: self.specfileClass = None if self.specfileClass is not None: text = "1.3 1 1\n" text += "2.5 4 8\n" text += "3.7 9 27\n" text += "\n" tmpFile = tempfile.mkstemp(text=False) if sys.version < '3.0': os.write(tmpFile[0], text) else: os.write(tmpFile[0], bytes(text, 'utf-8')) os.close(tmpFile[0]) self.fname = tmpFile[1] def tearDown(self): """clean up any possible files""" # make sure the file handle is free self._sf = None self._scan = None # this should free the handle gc.collect() if self.specfileClass is not None: if os.path.exists(self.fname): os.remove(self.fname) def testSpecfilewrapperImport(self): #"""Test successful import""" self.assertTrue(self.specfileClass is not None, 'Unsuccessful PyMca5.PyMcaIO.specfilewrapper import') def testSpecfilewrapperReading(self): #"""Test specfile readout""" self.testSpecfilewrapperImport() self._sf = self.specfileClass.Specfile(self.fname) # test the number of found scans self.assertEqual(len(self._sf), 2, 'Expected to read 2 scans, read %s' %\ len(self._sf)) self.assertEqual(self._sf.scanno(), 2, 'Expected to read 2 scans, got %s' %\ self._sf.scanno()) # test scan iteration selection method self._scan = self._sf[0] labels = self._scan.alllabels() expectedLabels = ['Point', 'Column 0', 'Column 1', 'Column 2'] self.assertEqual(len(labels), 4, 'Expected to read 4 labels, got %s' % len(labels)) for i in range(3): self.assertEqual(labels[i], expectedLabels[i], 'Read "%s" instead of "%s"' %\ (labels[i], expectedLabels[i])) # test scan number selection method self._scan = self._sf.select('1.1') labels = self._scan.alllabels() expectedLabels = ['Point', 'Column 0', 'Column 1', 'Column 2'] self.assertEqual(len(labels), 4, 'Expected to read 4 labels, got %s' % len(labels)) for i in range(3): self.assertEqual(labels[i], expectedLabels[i], 'Read "%s" instead of "%s"' %\ (labels[i], expectedLabels[i])) # test scan number of mca self._scan = self._sf[0] nbmca = self._scan.nbmca() self.assertEqual(nbmca, 0, 'Expected to read 0 mca, got %s' % nbmca) self._scan = self._sf[1] nbmca = self._scan.nbmca() self.assertEqual(nbmca, 3, 'Expected to read 3 mca, got %s' % nbmca) def testSpecfilewrapperReadingCompatibleWithUserLocale(self): #"""Test specfile compatible with C locale""" self.testSpecfilewrapperImport() self._sf = self.specfileClass.Specfile(self.fname) self._scan = self._sf[0] datacol = self._scan.datacol(2) data = self._scan.data() self._sf = None self.assertEqual(datacol[0], 1.3, 'Read %f instead of %f' %\ (datacol[0], 1.3)) self.assertEqual(datacol[1], 2.5, 'Read %f instead of %f' %\ (datacol[1], 2.5)) self.assertEqual(datacol[2], 3.7, 'Read %f instead of %f' %\ (datacol[2], 3.7)) self.assertEqual(datacol[1], data[1][1], 'Read %f instead of %f' %\ (datacol[1], data[1][1])) gc.collect() def testTrainingSpectrumReading(self): from PyMca5 import PyMcaDataDir import numpy fname = os.path.join(PyMcaDataDir.PYMCA_DATA_DIR, 'XRFSpectrum.mca') self._sf = self.specfileClass.Specfile(fname) self._scan = self._sf[0] # I find awful that starts counting at 1 # 1 is the point number # 2 is the actual spectal data datacol = self._scan.datacol(2) self._scan = self._sf[1] # The "second" scan is the readout as mca mca = self._scan.mca(1) self.assertTrue(numpy.alltrue(datacol == mca)) def getSuite(auto=True): testSuite = unittest.TestSuite() if auto: testSuite.addTest(\ unittest.TestLoader().loadTestsFromTestCase(testSpecfilewrapper)) else: # use a predefined order testSuite.addTest(testSpecfilewrapper("testSpecfilewrapperImport")) testSuite.addTest(testSpecfilewrapper("testSpecfilewrapperReading")) testSuite.addTest(\ testSpecfilewrapper(\ "testSpecfilewrapperReadingCompatibleWithUserLocale")) testSuite.addTest(testSpecfilewrapper("testTrainingSpectrumReading")) return testSuite def test(auto=False): unittest.TextTestRunner(verbosity=2).run(getSuite(auto=auto)) if __name__ == '__main__': test() PyMca5-5.2.2/PyMca5/tests/StackBaseTest.py0000644000276300001750000002157313136054446020253 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import unittest import numpy class DummyArray(object): def __init__(self, data): """ This class forces ROI and spectra calculation to be performed as it is made for a dynamically loaded array. This allows detection of the PyMca bug track issue 3544665 """ self.data = numpy.array(data, copy=False) def __getitem__(self, *var): if len(var) == 1: return self.data[var[0]] elif len(var) == 2: return self.data[var[0], var[1]] elif len(var) == 3: return self.data[var[0], var[1], var[2]] def getShape(self): return self.data.shape def getDType(self): return self.data.dtype def getSize(self): s = 1 for item in self.__shape: s *= item return s shape = property(getShape) dtype = property(getDType) size = property(getSize) class testStackBase(unittest.TestCase): def testStackBaseImport(self): from PyMca5.PyMcaCore import StackBase def testStackBaseStack1DDataHandling(self): from PyMca5.PyMcaCore import StackBase nrows = 50 ncolumns = 100 nchannels = 500 a = numpy.ones((nrows, ncolumns), numpy.float) referenceData = numpy.zeros((nrows, ncolumns, nchannels), numpy.float) for i in range(nchannels): referenceData[:, :, i] = a * i a = None mask = numpy.zeros((nrows, ncolumns), numpy.uint8) mask[20:30, 15:50] = 1 dummyArray = DummyArray(referenceData) defaultMca = referenceData.sum(axis=0, dtype=numpy.float64).sum(axis=0) maskedMca = referenceData[mask>0, :].sum(axis=0) for fileindex in [0, 1]: #usually only one file index case is used but #we test both to have a better coverage j = 0 for data in [referenceData, dummyArray]: if j == 0: dynamic = "" j = 1 else: dynamic = "dynamic " stackBase = StackBase.StackBase() stackBase.setStack(data, mcaindex=2, fileindex=fileindex) channels, counts = stackBase.getActiveCurve()[0:2] self.assertTrue(numpy.allclose(defaultMca, counts), "Incorrect %sdefault mca" % dynamic) # set mask stackBase.setSelectionMask(mask) self.assertTrue(numpy.allclose(stackBase.getSelectionMask(), mask), "Incorrect mask set and get") # get mca from mask mcaDataObject = stackBase.calculateMcaDataObject() self.assertTrue(numpy.allclose(mcaDataObject.y[0], maskedMca), "Incorrect %smca from mask calculation" % dynamic) #get image from roi i0 = 100 imiddle = 200 i1 = 400 # calculate imageDict = stackBase.calculateROIImages(i0, i1, imiddle=imiddle) self.assertTrue(numpy.allclose(imageDict['ROI'], data[:,:,i0:i1].sum(axis=-1)), "Incorrect ROI image from %sROI calculation" % dynamic) self.assertTrue(numpy.allclose(imageDict['Left'], data[:,:,i0]), "Incorrect Left image from %sROI calculation" % dynamic) self.assertTrue(numpy.allclose(imageDict['Right'], data[:,:,i1-1]), "Incorrect Right image from %sROI calculation" % dynamic) self.assertTrue(numpy.allclose(imageDict['Middle'], data[:,:,imiddle]), "Incorrect Middle image from %sROI calculation" % dynamic) stackBase = None data = None dummyArray = None referenceData = None def testStackBaseStack2DDataHandling(self): from PyMca5.PyMcaCore import StackBase nrows = 50 ncolumns = 100 nchannels = 500 a = numpy.ones((nrows, ncolumns), numpy.float) referenceData = numpy.zeros((nchannels, nrows, ncolumns), numpy.float) for i in range(nchannels): referenceData[i] = a * i a = None mask = numpy.zeros((nrows, ncolumns), numpy.uint8) mask[20:30, 15:50] = 1 dummyArray = DummyArray(referenceData) defaultMca = referenceData.sum(axis=2, dtype=numpy.float64).sum(axis=1) maskedMca = referenceData[:,mask>0].sum(axis=1) for fileindex in [1, 2]: #usually only one file index case is used but #we test both to have a better coverage j = 0 for data in [referenceData, dummyArray]: if j == 0: dynamic = "" j = 1 else: dynamic = "dynamic " stackBase = StackBase.StackBase() stackBase.setStack(data, mcaindex=0, fileindex=fileindex) channels, counts = stackBase.getActiveCurve()[0:2] self.assertTrue(numpy.allclose(defaultMca, counts), "Incorrect %sdefault mca" % dynamic) # set mask stackBase.setSelectionMask(mask) self.assertTrue(numpy.allclose(stackBase.getSelectionMask(), mask), "Incorrect mask set and get") # get mca from mask mcaDataObject = stackBase.calculateMcaDataObject() self.assertTrue(numpy.allclose(mcaDataObject.y[0], maskedMca), "Incorrect %smca from mask calculation" % dynamic) #get image from roi i0 = 100 imiddle = 200 i1 = 400 # calculate imageDict = stackBase.calculateROIImages(i0, i1, imiddle=imiddle) self.assertTrue(numpy.allclose(imageDict['ROI'], data[i0:i1, :,:].sum(axis=0)), "Incorrect ROI image from %sROI calculation" % dynamic) self.assertTrue(numpy.allclose(imageDict['Left'], data[i0,:,:]), "Incorrect Left image from %sROI calculation" % dynamic) self.assertTrue(numpy.allclose(imageDict['Right'], data[i1-1,:,:]), "Incorrect Right image from %sROI calculation" % dynamic) self.assertTrue(numpy.allclose(imageDict['Middle'], data[imiddle,:,:]), "Incorrect Middle image from %sROI calculation" % dynamic) stackBase = None data = None dummyArray = None referenceData = None def getSuite(auto=True): testSuite = unittest.TestSuite() if auto: testSuite.addTest(\ unittest.TestLoader().loadTestsFromTestCase(testStackBase)) else: # use a predefined order testSuite.addTest(testStackBase("testStackBaseImport")) testSuite.addTest(testStackBase("testStackBaseStack1DDataHandling")) testSuite.addTest(testStackBase("testStackBaseStack2DDataHandling")) return testSuite def test(auto=False): unittest.TextTestRunner(verbosity=2).run(getSuite(auto=auto)) if __name__ == '__main__': test() PyMca5-5.2.2/PyMca5/tests/DataTest.py0000644000276300001750000001650313136054446017261 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import unittest import os import sys import numpy class testData(unittest.TestCase): ELEMENTS = ['H', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr', 'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe', 'Cs', 'Ba', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn', 'Fr', 'Ra', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt'] def setUp(self): """ Get the data directory """ self._importSuccess = False try: from PyMca5 import PyMcaDataDir self._importSuccess = True self.dataDir = PyMcaDataDir.PYMCA_DATA_DIR except: self.dataDir = None try: self.docDir = PyMcaDataDir.PYMCA_DOC_DIR except: self.docDir = None def testDataDirectoryPresence(self): self.assertTrue(self._importSuccess, 'Unsuccessful PyMca5.PyMcaDataDir import') self.assertTrue(self.dataDir is not None, 'Unassigned PyMca5.PyMcaDataDir.PYMCA_DATA_DIR') self.assertTrue(os.path.exists(self.dataDir), 'Directory "%s" does not exist' % self.dataDir) self.assertTrue(os.path.isdir(self.dataDir), '"%s" expected to be a directory' % self.dataDir) def testFisxDataDirectoryPresence(self): try: from fisx import DataDir dataDir = DataDir.FISX_DATA_DIR except: dataDir = None self.assertTrue(dataDir is not None, 'fisx module not properly installed') self.assertTrue(os.path.exists(dataDir), 'fisx directory "%s" does not exist' % dataDir) self.assertTrue(os.path.isdir(dataDir), '"%s" expected to be a directory' % dataDir) for fname in ['BindingEnergies.dat', 'EADL97_BindingEnergies.dat', 'EADL97_KShellConstants.dat', 'EADL97_LShellConstants.dat', 'EADL97_MShellConstants.dat', 'EPDL97_CrossSections.dat', 'KShellConstants.dat', 'KShellRates.dat', 'LShellConstants.dat', 'LShellRates.dat', 'MShellConstants.dat', 'MShellRates.dat', 'XCOM_CrossSections.dat']: actualName = os.path.join(dataDir, fname) self.assertTrue(os.path.exists(actualName), 'File "%s" does not exist.' % actualName) self.assertTrue(os.path.isfile(actualName), 'File "%s" is not an actual file.' % actualName) def testDataFilePresence(self): # Testing file presence self.testDataDirectoryPresence() for fname in ['LShellRatesCampbell.dat', 'LShellRatesScofieldHS.dat', 'McaTheory.cfg', 'Scofield1973.dict', 'XRFSpectrum.mca']: actualName = os.path.join(self.dataDir, fname) self.assertTrue(os.path.exists(actualName), 'File "%s" does not exist.' % actualName) self.assertTrue(os.path.isfile(actualName), 'File "%s" is not an actual file.' % actualName) actualName = os.path.join(self.dataDir, 'attdata') self.assertTrue(os.path.exists(actualName), 'Directory "%s" does not exist' % actualName) self.assertTrue(os.path.isdir(actualName), '"%s" expected to be a directory' % actualName) for i in range(92): fname = "%s%s" % (testData.ELEMENTS[i], ".mat") actualName = os.path.join(self.dataDir, 'attdata', fname) self.assertTrue(os.path.exists(actualName), 'File "%s" does not exist.' % actualName) self.assertTrue(os.path.isfile(actualName), 'File "%s" is not an actual file.' % actualName) def testDocDirectoryPresence(self): self.assertTrue(self._importSuccess, 'Unsuccessful PyMca5.PyMcaDataDir import') self.assertTrue(self.docDir is not None, 'Unassigned PyMca5.PyMcaDataDir.PYMCA_DOC_DIR') self.assertTrue(os.path.exists(self.dataDir), 'Directory "%s" does not exist' % self.docDir) self.assertTrue(os.path.isdir(self.dataDir), '"%s" expected to be a directory' % self.docDir) def getSuite(auto=True): testSuite = unittest.TestSuite() if auto: testSuite.addTest(unittest.TestLoader().loadTestsFromTestCase(testData)) else: # use a predefined order testSuite.addTest(testData("testFisxDataDirectoryPresence")) testSuite.addTest(testData("testDataDirectoryPresence")) testSuite.addTest(testData("testDataFilePresence")) testSuite.addTest(testData("testDocDirectoryPresence")) return testSuite def test(auto=False): unittest.TextTestRunner(verbosity=2).run(getSuite(auto=auto)) if __name__ == '__main__': test() PyMca5-5.2.2/PyMca5/tests/GefitTest.py0000644000276300001750000000672113136054446017447 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import unittest import os import numpy class testGefit(unittest.TestCase): def setUp(self): """ import the module """ try: from PyMca5.PyMcaMath.fitting import Gefit self.gefit = Gefit except: self.gefit = None def gaussianPlusLinearBackground(self, param, t): dummy = 2.3548200450309493 * (t - param[3])/ param[4] return param[0] + param[1] * t +\ param[2] * numpy.exp(-0.5 * dummy * dummy) def testGefitImport(self): self.assertTrue(self.gefit is not None) def testGefitLeastSquares(self): self.testGefitImport() x = numpy.arange(500.) originalParameters = numpy.array([10.5, 2, 1000.0, 200., 100], numpy.float) fitFunction = self.gaussianPlusLinearBackground y = fitFunction(originalParameters, x) startingParameters = [0.0 ,1.0,900.0, 150., 90] fittedpar, chisq, sigmapar =self.gefit.LeastSquaresFit(fitFunction, startingParameters, xdata=x, ydata=y, sigmadata=None) for i in range(len(originalParameters)): self.assertTrue(abs(fittedpar[i] - originalParameters[i]) < 0.01) def getSuite(auto=True): testSuite = unittest.TestSuite() if auto: testSuite.addTest(\ unittest.TestLoader().loadTestsFromTestCase(testGefit)) else: # use a predefined order testSuite.addTest(testGefit("testGefitImport")) testSuite.addTest(testGefit("testGefitLeastSquares")) return testSuite def test(auto=False): unittest.TextTestRunner(verbosity=2).run(getSuite(auto=auto)) if __name__ == '__main__': test() PyMca5-5.2.2/PyMca5/tests/EdfFileTest.py0000644000276300001750000001126613136054446017707 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import unittest import sys import os import gc import tempfile import numpy class testEdfFile(unittest.TestCase): def setUp(self): """ import the EdfFile module """ tmpFile = tempfile.mkstemp(text=False) os.close(tmpFile[0]) self.fname = tmpFile[1] try: from PyMca5.PyMcaIO.EdfFile import EdfFile self.fileClass = EdfFile except: self.fileClass = None def tearDown(self): """clean up any possible files""" gc.collect() if self.fileClass is not None: if os.path.exists(self.fname): os.remove(self.fname) def testEdfFileImport(self): #"""Test successful import""" self.assertTrue(self.fileClass is not None) def testEdfFileReadWrite(self): # create a file self.assertTrue(self.fileClass is not None) data = numpy.arange(10000).astype(numpy.int32) data.shape = 100, 100 edf = self.fileClass(self.fname, 'wb+') edf.WriteImage({'Title': "title", 'key': 'key'}, data) edf = None # read it edf = self.fileClass(self.fname, 'rb') # the number of images nImages = edf.GetNumImages() self.assertEqual(nImages, 1) # the header information header = edf.GetHeader(0) self.assertEqual(header['Title'], "title") self.assertEqual(header['key'], "key") #the data information readData = edf.GetData(0) self.assertEqual(readData.dtype, numpy.int32, 'Read type %s instead of %s' %\ (readData.dtype, numpy.int32)) self.assertEqual(readData[10,20], data[10,20]) self.assertEqual(readData[20,10], data[20,10]) edf =None # add a second Image edf = self.fileClass(self.fname, 'rb+') edf.WriteImage({'Title': "title2", 'key': 'key2'}, data.astype(numpy.float32), Append=1) edf = None # read it edf = self.fileClass(self.fname, 'rb') # the number of images nImages = edf.GetNumImages() self.assertEqual(nImages, 2) # the header information header = edf.GetHeader(1) self.assertEqual(header['Title'], "title2") self.assertEqual(header['key'], "key2") # the data information readData = edf.GetData(1) self.assertEqual(readData.dtype, numpy.float32) self.assertTrue(abs(readData[10,20]-data[10,20]) < 0.00001) self.assertTrue(abs(readData[20,10]-data[20,10]) < 0.00001) edf =None gc.collect() def getSuite(auto=True): testSuite = unittest.TestSuite() if auto: testSuite.addTest(\ unittest.TestLoader().loadTestsFromTestCase(testEdfFile)) else: # use a predefined order testSuite.addTest(testEdfFile("testEdfFileImport")) testSuite.addTest(testEdfFile("testEdfFileReadWrite")) return testSuite def test(auto=False): unittest.TextTestRunner(verbosity=2).run(getSuite(auto=auto)) if __name__ == '__main__': test() PyMca5-5.2.2/PyMca5/tests/TestAll.py0000644000276300001750000000473413136054446017123 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import unittest import os import sys import glob import unittest def getSuite(auto=True): pythonFiles = glob.glob(os.path.join(os.path.dirname(__file__), "*.py")) sys.path.insert(0, os.path.dirname(__file__)) testSuite = unittest.TestSuite() for fname in pythonFiles: if os.path.basename(fname) in ["__init__.py", "TestAll.py"]: continue modName = os.path.splitext(os.path.basename(fname))[0] try: module = __import__(modName) except ImportError: print("Failed to import %s" % fname) continue if hasattr(module, "getSuite"): testSuite.addTest(module.getSuite(auto)) return testSuite def main(auto=True): unittest.TextTestRunner(verbosity=2).run(getSuite(auto=auto)) if __name__ == '__main__': if len(sys.argv) > 1: auto = False else: auto = True main(auto) PyMca5-5.2.2/PyMca5/PyMcaGui/0000755000276300001750000000000013205526235015502 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaGui/misc/0000755000276300001750000000000013205526235016435 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaGui/misc/CloseEventNotifyingWidget.py0000644000276300001750000000513213136054446024115 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt class HDFInfoCustomEvent(qt.QEvent): def __init__(self, ddict): if ddict is None: ddict = {} self.dict = ddict qt.QEvent.__init__(self, qt.QEvent.User) class CloseEventNotifyingWidget(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self._notifyCloseEventToWidget = [] def notifyCloseEventToWidget(self, widget): if widget not in self._notifyCloseEventToWidget: self._notifyCloseEventToWidget.append(widget) def closeEvent(self, event): if len(self._notifyCloseEventToWidget): for widget in self._notifyCloseEventToWidget: ddict={} ddict['event'] = 'closeEventSignal' ddict['id'] = id(self) newEvent = HDFInfoCustomEvent(ddict) qt.QApplication.postEvent(widget, newEvent) self._notifyCloseEventToWidget = [] return qt.QWidget.closeEvent(self, event) PyMca5-5.2.2/PyMca5/PyMcaGui/misc/NumpyArrayTableModel.py0000644000276300001750000002151313136054446023054 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import numpy from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, 'QStringList'): MyQVariant = qt.QVariant else: def MyQVariant(x=None): return x class NumpyArrayTableModel(qt.QAbstractTableModel): def __init__(self, parent=None, narray=None, fmt="%g", perspective=0): qt.QAbstractTableModel.__init__(self, parent) if narray is None: narray = numpy.array([]) self._array = narray self._format = fmt self._index = 0 self.assignDataFunction(perspective) def rowCount(self, parent=None): return self._rowCount(parent) def columnCount(self, parent=None): return self._columnCount(parent) def data(self, index, role=qt.Qt.DisplayRole): return self._data(index, role) def _rowCount1D(self, parent=None): return 1 def _columnCount1D(self, parent=None): return self._array.shape[0] def _data1D(self, index, role=qt.Qt.DisplayRole): if index.isValid(): if role == qt.Qt.DisplayRole: # row = 0 col = index.column() return MyQVariant(self._format % self._array[col]) return MyQVariant() def _rowCount2D(self, parent=None): return self._array.shape[0] def _columnCount2D(self, parent=None): return self._array.shape[1] def _data2D(self, index, role=qt.Qt.DisplayRole): if index.isValid(): if role == qt.Qt.DisplayRole: row = index.row() col = index.column() return MyQVariant(self._format % self._array[row, col]) return MyQVariant() def _rowCountND(self, parent=None): return self._array.shape[-2] def _columnCountND(self, parent=None): return self._array.shape[-1] def _dataND(self, index, role=qt.Qt.DisplayRole): if index.isValid(): if role == qt.Qt.DisplayRole: row = index.row() col = index.column() actualSelection = tuple(self._index + [row, col]) return MyQVariant(self._format % self._array[actualSelection]) return MyQVariant() def _rowCount3DIndex0(self, parent=None): return self._array.shape[1] def _columnCount3DIndex0(self, parent=None): return self._array.shape[2] def _rowCount3DIndex1(self, parent=None): return self._array.shape[0] def _columnCount3DIndex1(self, parent=None): return self._array.shape[2] def _rowCount3DIndex2(self, parent=None): return self._array.shape[0] def _columnCount3DIndex2(self, parent=None): return self._array.shape[1] def _data3DIndex0(self, index, role=qt.Qt.DisplayRole): if index.isValid(): if role == qt.Qt.DisplayRole: row = index.row() col = index.column() return MyQVariant(self._format % self._array[self._index, row, col]) return MyQVariant() def _data3DIndex1(self, index, role=qt.Qt.DisplayRole): if index.isValid(): if role == qt.Qt.DisplayRole: row = index.row() col = index.column() return MyQVariant(self._format % self._array[row, self._index, col]) return MyQVariant() def _data3DIndex2(self, index, role=qt.Qt.DisplayRole): if index.isValid(): if role == qt.Qt.DisplayRole: row = index.row() col = index.column() return MyQVariant(self._format % self._array[row, col, self._index]) return MyQVariant() def setArrayData(self, data, perspective=0): """ setStackData(self, data, perspective=0) data is a 3D array dimension is the array dimension acting as index of images """ if qt.qVersion() > "4.6": self.beginResetModel() else: self.reset() self._array = data self.assignDataFunction(perspective) if len(data.shape) > 3: self._index = [] for i in range(len(data.shape) - 2): self._index.append(0) if qt.qVersion() > "4.6": self.endResetModel() def assignDataFunction(self, dimension): shape = self._array.shape if len(shape) == 2: self._rowCount = self._rowCount2D self._columnCount = self._columnCount2D self._data = self._data2D elif len(shape) == 1: self._rowCount = self._rowCount1D self._columnCount = self._columnCount1D self._data = self._data1D elif len(shape) > 3: # only C order array of images supported self._rowCount = self._rowCountND self._columnCount = self._columnCountND self._data = self._dataND else: if dimension == 1: self._rowCount = self._rowCount3DIndex1 self._columnCount = self._columnCount3DIndex1 self._data = self._data3DIndex1 elif dimension == 2: self._rowCount = self._rowCount3DIndex2 self._columnCount = self._columnCount3DIndex2 self._data = self._data3DIndex1 else: self._rowCount = self._rowCount3DIndex0 self._columnCount = self._columnCount3DIndex0 self._data = self._data3DIndex0 self._dimension = dimension def setCurrentArrayIndex(self, index): """ This method is ignored if the current array does not not a 3-dimensional array. """ shape = self._array.shape if len(shape) < 3: # index is ignored return if len(shape) == 3: shape = self._array.shape[self._dimension] if hasattr(index, "__len__"): index = index[0] if (index < 0) or (index >= shape): raise ValueError("Index must be an integer lower than %d" % shape) self._index = index else: # Only N-dimensional arrays of images supported for i in range(len(index)): idx = index[i] if (idx < 0) or (idx >= shape[i]): raise ValueError("Index %d must be positive integer lower than %d" % \ (idx, shape[i])) self._index = index def setFormat(self, fmt): self._format = fmt if __name__ == "__main__": a = qt.QApplication([]) w = qt.QTableView() d = numpy.random.normal(0,1, (5, 1000,1000)) for i in range(5): d[i, :, :] += i #m = NumpyArrayTableModel(fmt="%.5f") #m = NumpyArrayTableModel(None, numpy.arange(100.), fmt="%.5f") #m = NumpyArrayTableModel(None, numpy.ones((100,20)), fmt="%.5f") m = NumpyArrayTableModel(None, d, fmt = "%.5f") w.setModel(m) m.setCurrentArrayIndex(4) #m.setArrayData(numpy.ones((100,))) w.show() a.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/misc/DoubleSlider.py0000644000276300001750000001127613136054446021376 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() DEBUG = 0 class DoubleSlider(qt.QWidget): sigDoubleSliderValueChanged = qt.pyqtSignal(object) def __init__(self, parent = None, scale = False): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(6, 6, 6, 6) self.mainLayout.setSpacing(1) orientation = qt.Qt.Horizontal self.minSlider = MySlider(self, orientation) self.minSlider.setRange(0, 100.) self.minSlider.setValue(0) self.maxSlider = MySlider(self, orientation) self.maxSlider.setRange(0, 100.0) self.maxSlider.setValue(100.) self.mainLayout.addWidget(self.maxSlider) self.mainLayout.addWidget(self.minSlider) self.minSlider.sigValueChanged.connect(self._sliderChanged) self.maxSlider.sigValueChanged.connect(self._sliderChanged) def __getDict(self): ddict = {} ddict['event'] = "doubleSliderValueChanged" m = self.minSlider.value() M = self.maxSlider.value() if m > M: ddict['max'] = m ddict['min'] = M else: ddict['min'] = m ddict['max'] = M return ddict def _sliderChanged(self, value): if DEBUG: print("DoubleSlider._sliderChanged()") ddict = self.__getDict() self.sigDoubleSliderValueChanged.emit(ddict) def setMinMax(self, m, M): self.minSlider.setValue(m) self.maxSlider.setValue(M) def getMinMax(self): m = self.minSlider.value() M = self.maxSlider.value() if m > M: return M, m else: return m, M class MySlider(qt.QWidget): sigValueChanged = qt.pyqtSignal(float) def __init__(self, parent = None, orientation=qt.Qt.Horizontal): qt.QWidget.__init__(self, parent) if orientation == qt.Qt.Horizontal: alignment = qt.Qt.AlignHCenter | qt.Qt.AlignTop layout = qt.QHBoxLayout(self) else: alignment = qt.Qt.AlignVCenter | qt.Qt.AlignLeft layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) self.slider = qt.QSlider(self) self.slider.setOrientation(orientation) self.label = qt.QLabel("0", self) self.label.setAlignment(alignment) self.label.setFixedWidth(self.label.fontMetrics().width('100.99')) layout.addWidget(self.slider) layout.addWidget(self.label) self.slider.valueChanged.connect(self.setNum) def setNum(self, value): value = value / 100. self.label.setText('%.2f' % value) self.sigValueChanged.emit(value) def setRange(self, minValue, maxValue): self.slider.setRange(minValue * 100, int(maxValue * 100)) def setValue(self, value): self.slider.setValue(value * 100) def value(self): return self.slider.value()/100. def test(): app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) w = DoubleSlider() w.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/misc/CalculationThread.py0000644000276300001750000002656513136054446022416 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import time try: from PyMca5.PyMcaGui import PyMcaQt as qt except ImportError: import PyMcaQt as qt USE_MOVE_TO_THREAD = False QTHREAD = True if QTHREAD: QThread = qt.QThread else: import threading QThread = threading.Thread # Python threads do not support moveToThread (untested) USE_MOVE_TO_THREAD = False class CalculationObject(qt.QObject): finished = qt.pyqtSignal() started = qt.pyqtSignal() def __init__(self, parent=None, calculation_method=None, calculation_vars=None, calculation_kw=None, expand_vars=True, expand_kw=True): qt.QObject.__init__(self, parent) self.calculation_method = calculation_method self.calculation_vars = calculation_vars self.calculation_kw = calculation_kw self.expand_vars = expand_vars self.expand_kw = expand_kw if self.expand_vars: if not self.expand_kw: raise ValueError("Cannot expand vars without expanding kw") self.__result = None def run(self): try: self.__result = None if self.calculation_vars is None and self.calculation_kw is None: self.__result = self.calculation_method() elif self.calculation_vars is None: if self.expand_kw: self.__result = self.calculation_method(**self.calculation_kw) else: self.__result = self.calculation_method(self.calculation_kw) elif self.calculation_kw is None: if self.expand_vars: self.__result = self.calculation_method(*self.calculation_vars) else: self.__result = self.calculation_method(self.calculation_vars) elif self.expand_vars and self.expand_kw: self.__result = self.calculation_method(*self.calculation_vars, **self.calculation_kw) elif self.expand_kw: self.__result = self.calculation_method(self.calculation_vars, **self.calculation_kw) else: print("Impossible combination of vars and kw") self._threadRunning = False raise ValueError("Impossible combination of vars and kw") except: self.__result = ("Exception",) + sys.exc_info() finally: # comment lines to allow to other call ???? self.calculation_vars = None self.calculation_kw = None self.finished.emit() def getResult(self): return self.__result class NewCalculationThread(qt.QObject): finished = qt.pyqtSignal() started = qt.pyqtSignal() def __init__(self, parent=None, calculation_method=None, calculation_vars=None, calculation_kw=None, expand_vars=True, expand_kw=True): qt.QObject.__init__(self, parent) self._calculationObject = CalculationObject(parent, calculation_method=calculation_method, calculation_vars=calculation_vars, calculation_kw=calculation_kw, expand_vars=expand_vars, expand_kw=expand_kw) self._calculationThread = qt.QThread() self._calculationObject.moveToThread(self._calculationThread) self._calculationObject.finished.connect(self._calculationThread.quit, qt.Qt.DirectConnection) self._calculationThread.started.connect(self._calculationObject.run, qt.Qt.DirectConnection) self._calculationThread.finished.connect(self._threadFinishedSlot, qt.Qt.DirectConnection) self._threadRunning = False def isRunning(self): #return self.calculationThread.isRunning() return self._threadRunning def _threadFinishedSlot(self): self._threadRunning = False self.finished.emit() def start(self): self._threadRunning = True self._calculationThread.start() self.started.emit() def getResult(self): return self._calculationObject.getResult() result = property(getResult) class OldCalculationThread(QThread): def __init__(self, parent=None, calculation_method=None, calculation_vars=None, calculation_kw=None, expand_vars=True, expand_kw=True): if QTHREAD: QThread.__init__(self, parent) else: QThread.__init__(self) self._threadRunning = False self.calculation_method = calculation_method self.calculation_vars = calculation_vars self.calculation_kw = calculation_kw self.expand_vars = expand_vars self.expand_kw = expand_kw if self.expand_vars: if not self.expand_kw: raise ValueError("Cannot expand vars without expanding kw") if not QTHREAD: def isRunning(self): return self._threadRunning def run(self): try: self._threadRunning = True self.result = None if self.calculation_vars is None and self.calculation_kw is None: self.result = self.calculation_method() elif self.calculation_vars is None: if self.expand_kw: self.result = self.calculation_method(**self.calculation_kw) else: self.result = self.calculation_method(self.calculation_kw) elif self.calculation_kw is None: if self.expand_vars: self.result = self.calculation_method(*self.calculation_vars) else: self.result = self.calculation_method(self.calculation_vars) elif self.expand_vars and self.expand_kw: self.result = self.calculation_method(*self.calculation_vars, **self.calculation_kw) elif self.expand_kw: self.result = self.calculation_method(self.calculation_vars, **self.calculation_kw) else: print("Impossible combination of vars and kw") self._threadRunning = False raise ValueError("Impossible combination of vars and kw") except: self._threadRunning = False self.result = ("Exception",) + sys.exc_info() finally: self.calculation_vars = None self.calculation_kw = None self._threadRunning = False def getResult(self): if hasattr(self, "result"): return self.result else: return None if USE_MOVE_TO_THREAD: CalculationThread=NewCalculationThread else: CalculationThread=OldCalculationThread def waitingMessageDialog(thread, message=None, parent=None, modal=True, update_callback=None, frameless=False): """ thread - The thread to be polled message - The initial message to be diplayed parent - The parent QWidget. It is used just to provide a convenient localtion modal - Default is True. The dialog will prevent user from using other widgets update_callback - The function to be called to provide progress feedback. It is expected to return a dictionnary. The recognized key words are: message: The updated message to be displayed. title: The title of the window title. progress: A number between 0 and 100 indicating the progress of the task. status: Status of the calculation thread. """ if message is None: message = "Please wait. Calculation going on." windowTitle = "Please Wait" if frameless: msg = qt.QDialog(None, qt.Qt.FramelessWindowHint) else: msg = qt.QDialog(None) #if modal: # msg.setWindowFlags(qt.Qt.Window | qt.Qt.CustomizeWindowHint | qt.Qt.WindowTitleHint) msg.setModal(modal) msg.setWindowTitle(windowTitle) layout = qt.QHBoxLayout(msg) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) l1 = qt.QLabel(msg) l1.setFixedWidth(l1.fontMetrics().width('##')) l2 = qt.QLabel(msg) l2.setText("%s" % message) l3 = qt.QLabel(msg) l3.setFixedWidth(l3.fontMetrics().width('##')) layout.addWidget(l1) layout.addWidget(l2) layout.addWidget(l3) msg.show() if parent is not None: # place the dialog at appropriate point parentGeometry = parent.geometry() x = parentGeometry.x() + 0.5 * parentGeometry.width() y = parentGeometry.y() + 0.5 * parentGeometry.height() msg.move(int(x - 0.5 * msg.width()), int(y)) t0 = time.time() i = 0 ticks = ['-','\\', "|", "/","-","\\",'|','/'] qApp = qt.QApplication.instance() if update_callback is None: while (thread.isRunning()): i = (i+1) % 8 l1.setText(ticks[i]) l3.setText(" "+ticks[i]) qApp.processEvents() if QTHREAD: qt.QThread.msleep(1000) else: time.sleep(2) else: while (thread.isRunning()): updateInfo = update_callback() message = updateInfo.get('message', message) windowTitle = updateInfo.get('title', windowTitle) msg.setWindowTitle(windowTitle) i = (i+1) % 8 l1.setText(ticks[i]) l2.setText(message) l3.setText(" "+ticks[i]) qApp.processEvents() if QTHREAD: qt.QThread.msleep(1000) else: time.sleep(2) msg.close() PyMca5-5.2.2/PyMca5/PyMcaGui/misc/SubprocessLogWidget.py0000644000276300001750000001203113136054446022745 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import subprocess import time from PyMca5.PyMcaGui import PyMcaQt as qt class SubprocessLogWidget(qt.QWidget): sigSubprocessLogWidgetSignal = qt.pyqtSignal(object) def __init__(self, parent=None, args=None): qt.QWidget.__init__(self, parent) self.setWindowTitle("Subprocess Log Widget") self.mainLayout = qt.QVBoxLayout(self) self._p = None self.__timer = qt.QTimer() self._args = args self.__timer.timeout.connect(self._timerSlot) self.logWidget = qt.QTextEdit(self) self.logWidget.setReadOnly(True) self.mainLayout.addWidget(self.logWidget) def setSubprocessArgs(self, args): self._args = args def start(self, args=None, timing=0.1): if args is None: if self._args is None: raise ValueError("Subprocess command not defined") else: self._args = args else: self._args = args self._startTimer(timing=timing) def stop(self): if self.isSubprocessRunning(): #print("MESSAGE TO KILL PROCESS") #print("HOW TO KILL IT IN A GOOD WAY?") self._p.kill() def isSubprocessRunning(self): running = False if self._p is not None: if self._p.poll() is None: running = True return running def _startTimer(self, timing=0.1): if self._args is None: raise ValueError("Subprocess command not defined") self._p = subprocess.Popen(self._args, bufsize=0, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True) ddict = {} ddict["subprocess"] = self._p ddict["event"] = "ProcessStarted" self.sigSubprocessLogWidgetSignal.emit(ddict) self.__timer.start(timing) def _timerSlot(self): ddict = {} ddict["subprocess"] = self._p if self._p.poll() is None: # process did not finish yet line = self._p.stdout.readline() if len(line) > 1: self.logWidget.append(line[:-1]) qApp = qt.QApplication.instance() qApp.processEvents() ddict["event"] = "ProcessRunning" else: self.__timer.stop() returnCode = self._p.returncode ddict['event'] = "ProcessFinished" ddict['code'] = returnCode ddict["message"] = [] if returnCode == 0: line = self._p.stdout.readline() while len(line) > 1: self.logWidget.append(line[:-1]) line = self._p.stdout.readline() else: line = self._p.stderr.readline() while len(line) > 1: ddict["message"].append(line) self.logWidget.append(line[:-1]) line = self._p.stderr.readline() self._p = None self.sigSubprocessLogWidgetSignal.emit(ddict) def clear(self): self.logWidget.clear() def append(self, text): self.logWidget.append(text) def closeEvent(self, event): if self._p is not None: try: self.stop() except: # this may happen if the process finished in the mean time pass qt.QWidget.closeEvent(self, event) PyMca5-5.2.2/PyMca5/PyMcaGui/misc/__init__.py0000644000276300001750000000000013136054446020537 0ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaGui/misc/TableWidget.py0000644000276300001750000005765713136054446021231 0ustar solebliss00000000000000# coding: utf-8 # /*########################################################################## # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ """This module provides table widgets handling cut, copy and paste for multiple cell selections. These actions can be triggered using keyboard shortcuts or through a context menu (right-click). :class:`TableView` is a subclass of :class:`QTableView`. The added features are made available to users after a model is added to the widget, using :meth:`TableView.setModel`. :class:`TableWidget` is a subclass of :class:`qt.QTableWidget`, a table view with a built-in standard data model. The added features are available as soon as the widget is initialized. The cut, copy and paste actions are implemented as QActions: - :class:`CopySelectedCellsAction` (*Ctrl+C*) - :class:`CopyAllCellsAction` - :class:`CutSelectedCellsAction` (*Ctrl+X*) - :class:`CutAllCellsAction` - :class:`PasteCellsAction` (*Ctrl+V*) The copy actions are enabled by default. The cut and paste actions must be explicitly enabled, by passing parameters ``cut=True, paste=True`` when creating the widgets, or later by calling their :meth:`enableCut` and :meth:`enablePaste` methods. """ __authors__ = ["P. Knobel"] __license__ = "MIT" __date__ = "03/07/2017" # copied from silx 0.6 import sys from PyMca5.PyMcaGui import PyMcaQt as qt if sys.platform.startswith("win"): row_separator = "\r\n" else: row_separator = "\n" col_separator = "\t" class CopySelectedCellsAction(qt.QAction): """QAction to copy text from selected cells in a :class:`QTableWidget` into the clipboard. If multiple cells are selected, the copied text will be a concatenation of the texts in all selected cells, tabulated with tabulation and newline characters. If the cells are sparsely selected, the structure is preserved by representing the unselected cells as empty strings in between two tabulation characters. Beware of pasting this data in another table widget, because depending on how the paste is implemented, the empty cells may cause data in the target table to be deleted, even though you didn't necessarily select the corresponding cell in the origin table. :param table: :class:`QTableView` to which this action belongs. """ def __init__(self, table): if not isinstance(table, qt.QTableView): raise ValueError('CopySelectedCellsAction must be initialised ' + 'with a QTableWidget.') super(CopySelectedCellsAction, self).__init__(table) self.setText("Copy selection") self.setToolTip("Copy selected cells into the clipboard.") self.setShortcut(qt.QKeySequence.Copy) self.setShortcutContext(qt.Qt.WidgetShortcut) self.triggered.connect(self.copyCellsToClipboard) self.table = table self.cut = False """:attr:`cut` can be set to True by classes inheriting this action, to do a cut action.""" def copyCellsToClipboard(self): """Concatenate the text content of all selected cells into a string using tabulations and newlines to keep the table structure. Put this text into the clipboard. """ selected_idx = self.table.selectedIndexes() if not selected_idx: return selected_idx_tuples = [(idx.row(), idx.column()) for idx in selected_idx] selected_rows = [idx[0] for idx in selected_idx_tuples] selected_columns = [idx[1] for idx in selected_idx_tuples] data_model = self.table.model() copied_text = "" for row in range(min(selected_rows), max(selected_rows) + 1): for col in range(min(selected_columns), max(selected_columns) + 1): index = data_model.index(row, col) cell_text = data_model.data(index) flags = data_model.flags(index) if (row, col) in selected_idx_tuples and cell_text is not None: copied_text += cell_text if self.cut and (flags & qt.Qt.ItemIsEditable): data_model.setData(index, "") copied_text += col_separator # remove the right-most tabulation copied_text = copied_text[:-len(col_separator)] # add a newline copied_text += row_separator # remove final newline copied_text = copied_text[:-len(row_separator)] # put this text into clipboard qapp = qt.QApplication.instance() qapp.clipboard().setText(copied_text) class CopyAllCellsAction(qt.QAction): """QAction to copy text from all cells in a :class:`QTableWidget` into the clipboard. The copied text will be a concatenation of the texts in all cells, tabulated with tabulation and newline characters. :param table: :class:`QTableView` to which this action belongs. """ def __init__(self, table): if not isinstance(table, qt.QTableView): raise ValueError('CopyAllCellsAction must be initialised ' + 'with a QTableWidget.') super(CopyAllCellsAction, self).__init__(table) self.setText("Copy all") self.setToolTip("Copy all cells into the clipboard.") self.triggered.connect(self.copyCellsToClipboard) self.table = table self.cut = False def copyCellsToClipboard(self): """Concatenate the text content of all cells into a string using tabulations and newlines to keep the table structure. Put this text into the clipboard. """ data_model = self.table.model() copied_text = "" for row in range(data_model.rowCount()): for col in range(data_model.columnCount()): index = data_model.index(row, col) cell_text = data_model.data(index) flags = data_model.flags(index) if cell_text is not None: copied_text += cell_text if self.cut and (flags & qt.Qt.ItemIsEditable): data_model.setData(index, "") copied_text += col_separator # remove the right-most tabulation copied_text = copied_text[:-len(col_separator)] # add a newline copied_text += row_separator # remove final newline copied_text = copied_text[:-len(row_separator)] # put this text into clipboard qapp = qt.QApplication.instance() qapp.clipboard().setText(copied_text) class CutSelectedCellsAction(CopySelectedCellsAction): """QAction to cut text from selected cells in a :class:`QTableWidget` into the clipboard. The text is deleted from the original table widget (use :class:`CopySelectedCellsAction` to preserve the original data). If multiple cells are selected, the cut text will be a concatenation of the texts in all selected cells, tabulated with tabulation and newline characters. If the cells are sparsely selected, the structure is preserved by representing the unselected cells as empty strings in between two tabulation characters. Beware of pasting this data in another table widget, because depending on how the paste is implemented, the empty cells may cause data in the target table to be deleted, even though you didn't necessarily select the corresponding cell in the origin table. :param table: :class:`QTableView` to which this action belongs.""" def __init__(self, table): super(CutSelectedCellsAction, self).__init__(table) self.setText("Cut selection") self.setShortcut(qt.QKeySequence.Cut) self.setShortcutContext(qt.Qt.WidgetShortcut) # cutting is already implemented in CopySelectedCellsAction (but # it is disabled), we just need to enable it self.cut = True class CutAllCellsAction(CopyAllCellsAction): """QAction to cut text from all cells in a :class:`QTableWidget` into the clipboard. The text is deleted from the original table widget (use :class:`CopyAllCellsAction` to preserve the original data). The cut text will be a concatenation of the texts in all cells, tabulated with tabulation and newline characters. :param table: :class:`QTableView` to which this action belongs.""" def __init__(self, table): super(CutAllCellsAction, self).__init__(table) self.setText("Cut all") self.setToolTip("Cut all cells into the clipboard.") self.cut = True def _parseTextAsTable(text, row_separator=row_separator, col_separator=col_separator): """Parse text into list of lists (2D sequence). The input text must be tabulated using tabulation characters and newlines to separate columns and rows. :param text: text to be parsed :param record_separator: String, or single character, to be interpreted as a record/row separator. :param field_separator: String, or single character, to be interpreted as a field/column separator. :return: 2D sequence of strings """ rows = text.split(row_separator) table_data = [row.split(col_separator) for row in rows] return table_data class PasteCellsAction(qt.QAction): """QAction to paste text from the clipboard into the table. If the text contains tabulations and newlines, they are interpreted as column and row separators. In such a case, the text is split into multiple texts to be pasted into multiple cells. If a cell content is an empty string in the original text, it is ignored: the destination cell's text will not be deleted. :param table: :class:`QTableView` to which this action belongs. """ def __init__(self, table): if not isinstance(table, qt.QTableView): raise ValueError('PasteCellsAction must be initialised ' + 'with a QTableWidget.') super(PasteCellsAction, self).__init__(table) self.table = table self.setText("Paste") self.setShortcut(qt.QKeySequence.Paste) self.setShortcutContext(qt.Qt.WidgetShortcut) self.setToolTip("Paste data. The selected cell is the top-left" + "corner of the paste area.") self.triggered.connect(self.pasteCellFromClipboard) def pasteCellFromClipboard(self): """Paste text from clipboard into the table. :return: *True* in case of success, *False* if pasting data failed. """ selected_idx = self.table.selectedIndexes() if len(selected_idx) != 1: msgBox = qt.QMessageBox(parent=self.table) msgBox.setText("A single cell must be selected to paste data") msgBox.exec_() return False data_model = self.table.model() selected_row = selected_idx[0].row() selected_col = selected_idx[0].column() qapp = qt.QApplication.instance() clipboard_text = qapp.clipboard().text() table_data = _parseTextAsTable(clipboard_text) protected_cells = 0 out_of_range_cells = 0 # paste table data into cells, using selected cell as origin for row_offset in range(len(table_data)): for col_offset in range(len(table_data[row_offset])): target_row = selected_row + row_offset target_col = selected_col + col_offset if target_row >= data_model.rowCount() or\ target_col >= data_model.columnCount(): out_of_range_cells += 1 continue index = data_model.index(target_row, target_col) flags = data_model.flags(index) # ignore empty strings if table_data[row_offset][col_offset] != "": if not flags & qt.Qt.ItemIsEditable: protected_cells += 1 continue data_model.setData(index, table_data[row_offset][col_offset]) # item.setText(table_data[row_offset][col_offset]) if protected_cells or out_of_range_cells: msgBox = qt.QMessageBox(parent=self.table) msg = "Some data could not be inserted, " msg += "due to out-of-range or write-protected cells." msgBox.setText(msg) msgBox.exec_() return False return True class CopySingleCellAction(qt.QAction): """QAction to copy text from a single cell in a modified :class:`QTableWidget`. This action relies on the fact that the text in the last clicked cell are stored in :attr:`_last_cell_clicked` of the modified widget. In most cases, :class:`CopySelectedCellsAction` handles single cells, but if the selection mode of the widget has been set to NoSelection it is necessary to use this class instead. :param table: :class:`QTableView` to which this action belongs. """ def __init__(self, table): if not isinstance(table, qt.QTableView): raise ValueError('CopySingleCellAction must be initialised ' + 'with a QTableWidget.') super(CopySingleCellAction, self).__init__(table) self.setText("Copy cell") self.setToolTip("Copy cell content into the clipboard.") self.triggered.connect(self.copyCellToClipboard) self.table = table def copyCellToClipboard(self): """ """ cell_text = self.table._text_last_cell_clicked if cell_text is None: return # put this text into clipboard qapp = qt.QApplication.instance() qapp.clipboard().setText(cell_text) class TableWidget(qt.QTableWidget): """:class:`QTableWidget` with a context menu displaying up to 5 actions: - :class:`CopySelectedCellsAction` - :class:`CopyAllCellsAction` - :class:`CutSelectedCellsAction` - :class:`CutAllCellsAction` - :class:`PasteCellsAction` These actions interact with the clipboard and can be used to copy data to or from an external application, or another widget. The cut and paste actions are disabled by default, due to the risk of overwriting data (no *Undo* action is available). Use :meth:`enablePaste` and :meth:`enableCut` to activate them. :param parent: Parent QWidget :param bool cut: Enable cut action :param bool paste: Enable paste action """ def __init__(self, parent=None, cut=False, paste=False): super(TableWidget, self).__init__(parent) self._text_last_cell_clicked = None self.copySelectedCellsAction = CopySelectedCellsAction(self) self.copyAllCellsAction = CopyAllCellsAction(self) self.copySingleCellAction = None self.pasteCellsAction = None self.cutSelectedCellsAction = None self.cutAllCellsAction = None self.addAction(self.copySelectedCellsAction) self.addAction(self.copyAllCellsAction) if cut: self.enableCut() if paste: self.enablePaste() self.setContextMenuPolicy(qt.Qt.ActionsContextMenu) def mousePressEvent(self, event): item = self.itemAt(event.pos()) if item is not None: self._text_last_cell_clicked = item.text() super(TableWidget, self).mousePressEvent(event) def enablePaste(self): """Enable paste action, to paste data from the clipboard into the table. .. warning:: This action can cause data to be overwritten. There is currently no *Undo* action to retrieve lost data. """ self.pasteCellsAction = PasteCellsAction(self) self.addAction(self.pasteCellsAction) def enableCut(self): """Enable cut action. .. warning:: This action can cause data to be deleted. There is currently no *Undo* action to retrieve lost data.""" self.cutSelectedCellsAction = CutSelectedCellsAction(self) self.cutAllCellsAction = CutAllCellsAction(self) self.addAction(self.cutSelectedCellsAction) self.addAction(self.cutAllCellsAction) def setSelectionMode(self, mode): """Overloaded from QTableWidget to disable cut/copy selection actions in case mode is NoSelection :param mode: :return: """ if mode == qt.QTableView.NoSelection: self.copySelectedCellsAction.setVisible(False) self.copySelectedCellsAction.setEnabled(False) if self.cutSelectedCellsAction is not None: self.cutSelectedCellsAction.setVisible(False) self.cutSelectedCellsAction.setEnabled(False) if self.copySingleCellAction is None: self.copySingleCellAction = CopySingleCellAction(self) self.insertAction(self.copySelectedCellsAction, # before first action self.copySingleCellAction) self.copySingleCellAction.setVisible(True) self.copySingleCellAction.setEnabled(True) else: self.copySelectedCellsAction.setVisible(True) self.copySelectedCellsAction.setEnabled(True) if self.cutSelectedCellsAction is not None: self.cutSelectedCellsAction.setVisible(True) self.cutSelectedCellsAction.setEnabled(True) if self.copySingleCellAction is not None: self.copySingleCellAction.setVisible(False) self.copySingleCellAction.setEnabled(False) super(TableWidget, self).setSelectionMode(mode) class TableView(qt.QTableView): """:class:`QTableView` with a context menu displaying up to 5 actions: - :class:`CopySelectedCellsAction` - :class:`CopyAllCellsAction` - :class:`CutSelectedCellsAction` - :class:`CutAllCellsAction` - :class:`PasteCellsAction` These actions interact with the clipboard and can be used to copy data to or from an external application, or another widget. The cut and paste actions are disabled by default, due to the risk of overwriting data (no *Undo* action is available). Use :meth:`enablePaste` and :meth:`enableCut` to activate them. .. note:: These actions will be available only after a model is associated with this view, using :meth:`setModel`. :param parent: Parent QWidget :param bool cut: Enable cut action :param bool paste: Enable paste action """ def __init__(self, parent=None, cut=False, paste=False): super(TableView, self).__init__(parent) self._text_last_cell_clicked = None self.cut = cut self.paste = paste self.copySelectedCellsAction = None self.copyAllCellsAction = None self.copySingleCellAction = None self.pasteCellsAction = None self.cutSelectedCellsAction = None self.cutAllCellsAction = None def mousePressEvent(self, event): qindex = self.indexAt(event.pos()) if self.copyAllCellsAction is not None: # model was set self._text_last_cell_clicked = self.model().data(qindex) super(TableView, self).mousePressEvent(event) def setModel(self, model): """Set the data model for the table view, activate the actions and the context menu. :param model: :class:`qt.QAbstractItemModel` object """ super(TableView, self).setModel(model) self.copySelectedCellsAction = CopySelectedCellsAction(self) self.copyAllCellsAction = CopyAllCellsAction(self) self.addAction(self.copySelectedCellsAction) self.addAction(self.copyAllCellsAction) if self.cut: self.enableCut() if self.paste: self.enablePaste() self.setContextMenuPolicy(qt.Qt.ActionsContextMenu) def enablePaste(self): """Enable paste action, to paste data from the clipboard into the table. .. warning:: This action can cause data to be overwritten. There is currently no *Undo* action to retrieve lost data. """ self.pasteCellsAction = PasteCellsAction(self) self.addAction(self.pasteCellsAction) def enableCut(self): """Enable cut action. .. warning:: This action can cause data to be deleted. There is currently no *Undo* action to retrieve lost data. """ self.cutSelectedCellsAction = CutSelectedCellsAction(self) self.cutAllCellsAction = CutAllCellsAction(self) self.addAction(self.cutSelectedCellsAction) self.addAction(self.cutAllCellsAction) def addAction(self, action): # ensure the actions are not added multiple times: # compare action type and parent widget with those of existing actions for existing_action in self.actions(): if type(action) == type(existing_action): if hasattr(action, "table") and\ action.table is existing_action.table: return None super(TableView, self).addAction(action) def setSelectionMode(self, mode): """Overloaded from QTableView to disable cut/copy selection actions in case mode is NoSelection :param mode: :return: """ if mode == qt.QTableView.NoSelection: self.copySelectedCellsAction.setVisible(False) self.copySelectedCellsAction.setEnabled(False) if self.cutSelectedCellsAction is not None: self.cutSelectedCellsAction.setVisible(False) self.cutSelectedCellsAction.setEnabled(False) if self.copySingleCellAction is None: self.copySingleCellAction = CopySingleCellAction(self) self.insertAction(self.copySelectedCellsAction, # before first action self.copySingleCellAction) self.copySingleCellAction.setVisible(True) self.copySingleCellAction.setEnabled(True) else: self.copySelectedCellsAction.setVisible(True) self.copySelectedCellsAction.setEnabled(True) if self.cutSelectedCellsAction is not None: self.cutSelectedCellsAction.setVisible(True) self.cutSelectedCellsAction.setEnabled(True) if self.copySingleCellAction is not None: self.copySingleCellAction.setVisible(False) self.copySingleCellAction.setEnabled(False) super(TableView, self).setSelectionMode(mode) if __name__ == "__main__": app = qt.QApplication([]) tablewidget = TableWidget() tablewidget.setWindowTitle("TableWidget") tablewidget.setColumnCount(10) tablewidget.setRowCount(7) tablewidget.enableCut() tablewidget.enablePaste() tablewidget.show() tableview = TableView(cut=True, paste=True) tableview.setWindowTitle("TableView") model = qt.QStandardItemModel() model.setColumnCount(10) model.setRowCount(7) tableview.setModel(model) tableview.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/misc/NumpyArrayTableView.py0000644000276300001750000000767613136054446022744 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, 'QStringList'): MyQVariant = qt.QVariant else: def MyQVariant(x=None): return x from . import NumpyArrayTableModel import sys class HorizontalHeader(qt.QAbstractItemModel): def __init__(self, parent=None): qt.QHeaderView.__init__(self, parent) def columnCount(self, modelIndex): return self.parent().columnCount() def headerData(self, section, orientation, role=qt.Qt.DisplayRole): if role == qt.Qt.DisplayRole: return MyQVariant("%d" % section) return MyQVariant() class VerticalHeader(qt.QAbstractItemModel): def __init__(self, parent=None): qt.QHeaderView.__init__(self, parent) def rowCount(self, modelIndex): return self.parent().rowCount() def headerData(self, section, orientation, role=qt.Qt.DisplayRole): if role == qt.Qt.DisplayRole: return MyQVariant("%d" % section) return MyQVariant() class NumpyArrayTableView(qt.QTableView): def __init__(self, parent=None): qt.QTableView.__init__(self, parent) self._model = NumpyArrayTableModel.NumpyArrayTableModel(self) self.setModel(self._model) self._horizontalHeaderModel = HorizontalHeader(self._model) self._verticalHeaderModel = VerticalHeader(self._model) self.horizontalHeader().setModel(self._horizontalHeaderModel) self.verticalHeader().setModel(self._verticalHeaderModel) def setArrayData(self, data): t = "%s" % data.dtype if '|' in t: fmt = "%s" else: fmt = "%g" self._model.setFormat(fmt) self._model.setArrayData(data) #some linux distributions need this call self.setModel(self._model) if sys.platform not in ['win32']: self._horizontalHeaderModel = HorizontalHeader(self._model) self._verticalHeaderModel = VerticalHeader(self._model) self.horizontalHeader().setModel(self._horizontalHeaderModel) self.verticalHeader().setModel(self._verticalHeaderModel) def setCurrentArrayIndex(self, index): return self._model.setCurrentArrayIndex(index) if __name__ == "__main__": import numpy a = qt.QApplication([]) d = numpy.random.normal(0,1, (5, 1000,1000)) for i in range(5): d[i, :, :] += i w = NumpyArrayTableView() w.setArrayData(d) w.show() a.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/misc/QIPythonWidget.py0000644000276300001750000001441613136054446021677 0ustar solebliss00000000000000#/############################################################################ # # This module is based on an answer published in: # # http://stackoverflow.com/questions/11513132/embedding-ipython-qt-console-in-a-pyqt-application # # by Tim Rae # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "Tim Rae, V.A. Sole" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" # Set the QT API import os import sys if "PySide" in sys.modules: PYSIDE = True else: PYSIDE = False if PYSIDE: os.environ['QT_API'] = 'pyside' from PySide.QtGui import QApplication, QWidget, QPushButton, QVBoxLayout else: os.environ['QT_API'] = 'pyqt' try: import sip sip.setapi("QString", 2) sip.setapi("QVariant", 2) except: pass if "PyQt4" in sys.modules: from PyQt4.QtGui import QApplication, QWidget, \ QPushButton, QVBoxLayout elif "PyQt5" in sys.modules: from PyQt5.QtWidgets import QApplication, QWidget, \ QPushButton, QVBoxLayout else: try: from PyQt4.QtGui import QApplication, QWidget, \ QPushButton, QVBoxLayout except: try: from PyQt5.QtWidgets import QApplication, QWidget, \ QPushButton, QVBoxLayout except: from PySide.QtGui import QApplication, QWidget, \ QPushButton, QVBoxLayout os.environ['QT_API'] = 'pyside' import IPython if IPython.__version__.startswith("2"): QTCONSOLE = False else: try: import qtconsole QTCONSOLE = True except ImportError: QTCONSOLE = False if QTCONSOLE: try: from qtconsole.rich_ipython_widget import RichJupyterWidget as RichIPythonWidget except: from qtconsole.rich_ipython_widget import RichIPythonWidget from qtconsole.inprocess import QtInProcessKernelManager else: # Import the console machinery from ipython # Check if we using a frozen version because # the test of IPython does not find the Qt bindings executables = ["PyMcaMain.exe", "QStackWidget.exe", "PyMcaPostBatch.exe"] if os.path.basename(sys.executable) in executables: import IPython.external.qt_loaders def has_binding(*var, **kw): return True IPython.external.qt_loaders.has_binding = has_binding from IPython.qt.console.rich_ipython_widget import RichIPythonWidget from IPython.qt.inprocess import QtInProcessKernelManager from IPython.lib import guisupport class QIPythonWidget(RichIPythonWidget): """ Convenience class for a live IPython console widget. We can replace the standard banner using the customBanner argument""" def __init__(self,customBanner=None,*args,**kwargs): super(QIPythonWidget, self).__init__(*args,**kwargs) if customBanner != None: self.banner = customBanner self.setWindowTitle(self.banner) self.kernel_manager = kernel_manager = QtInProcessKernelManager() kernel_manager.start_kernel() kernel_manager.kernel.gui = 'qt4' self.kernel_client = kernel_client = self._kernel_manager.client() kernel_client.start_channels() def stop(): kernel_client.stop_channels() kernel_manager.shutdown_kernel() guisupport.get_app_qt4().exit() self.exit_requested.connect(stop) def pushVariables(self,variableDict): """ Given a dictionary containing name / value pairs, push those variables to the IPython console widget """ self.kernel_manager.kernel.shell.push(variableDict) def clearTerminal(self): """ Clears the terminal """ self._control.clear() def printText(self,text): """ Prints some plain text to the console """ self._append_plain_text(text) def executeCommand(self,command): """ Execute a command in the frame of the console widget """ self._execute(command,False) class ExampleWidget(QWidget): """ Main GUI Widget including a button and IPython Console widget inside vertical layout """ def __init__(self, parent=None): super(ExampleWidget, self).__init__(parent) layout = QVBoxLayout(self) self.button = QPushButton('Another widget') ipyConsole = QIPythonWidget(customBanner="Welcome to the embedded ipython console\n") layout.addWidget(self.button) layout.addWidget(ipyConsole) # This allows the variable foo and method print_process_id to be accessed from the ipython console ipyConsole.pushVariables({"foo":43,"print_process_id":print_process_id}) ipyConsole.printText("The variable 'foo' and the method 'print_process_id()' are available. Use the 'whos' command for information.") def print_process_id(): print('Process ID is:', os.getpid()) def main(): app = QApplication([]) widget = ExampleWidget() widget.show() app.exec_() if __name__ == '__main__': main() PyMca5-5.2.2/PyMca5/PyMcaGui/misc/SelectionTable.py0000644000276300001750000002341113136054446021710 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__=""" Concenience widget to generate a selection table in which each column can contain one type of widget. For the time being only text, check boxes or radio buttons are supported. Each time one of the contained widgets changes, a sigSelectionTableSignal is emitted indicating the current selection and the triggering cell. """ from PyMca5.PyMcaGui import PyMcaQt as qt DEBUG = 0 class SelectionTable(qt.QTableWidget): sigSelectionTableSignal = qt.pyqtSignal(object) def __init__(self, parent=None, labels=None, types=None): qt.QTableWidget.__init__(self, parent) if labels is None: if types is None: labels = ["Legend", "X", "Y"] types = ["Text", "RadioButton", "CheckBox"] else: labels = [] i = 0 for item in types: if item.lower() not in ["text", "checkbox", "radiobutton"]: text = "Only Text, CheckBox or RadioButton accepted" raise TypeError(text) labels.append("Column %02d" % i) i += 1 elif types is None: types = [] for item in labels: try: if len(item) == 1: types.append("CheckBox") else: types.append("Text") except: types.append("Text") self.setColumnCount(len(labels)) for i in range(len(labels)): item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(labels[i], qt.QTableWidgetItem.Type) self.setHorizontalHeaderItem(i,item) item.setText(labels[i]) rheight = self.horizontalHeader().sizeHint().height() self._labels = labels self._types = types self._buttonGroups = [None] * len(self._labels) # set a minimum of 5 rows self.setMinimumHeight(5*rheight) def fillTable(self, entries): """ Fill the table with the given entries. :param entries: List in which each item is a list of strings. The list of strings has to match the length of the table top header. :param type: list """ nEntries = len(entries) self.setRowCount(nEntries) for i in range(nEntries): self.fillLine(i, entries[i]) # adjust column width for i in range(self.columnCount()): self.resizeColumnToContents(i) def fillLine(self, row, entry): for column in range(len(self._types)): content = entry[column] if self._types[column].lower() == "checkbox": widget = self.cellWidget(row, column) if widget is None: widget = CheckBoxItem(self, row, column) self.setCellWidget(row, column, widget) widget.sigCheckBoxItemSignal.connect(self._checkBoxSlot) widget.setText(content) elif self._types[column].lower() == "radiobutton": widget = self.cellWidget(row, column) if widget is None: widget = RadioButtonItem(self, row, column) self.setCellWidget(row, column, widget) widget.sigRadioButtonItemSignal.connect( \ self._radioButtonSlot) if self._buttonGroups[column] is None: self._buttonGroups[column] = qt.QButtonGroup() widget.setChecked(True) self._buttonGroups[column].addButton(widget) widget.setText(content) else: # text item = self.item(row, column) if item is None: item = qt.QTableWidgetItem(content, qt.QTableWidgetItem.Type) item.setTextAlignment(qt.Qt.AlignHCenter | qt.Qt.AlignVCenter) self.setItem(row, column, item) #item is enabled and selectable item.setFlags(qt.Qt.ItemIsEnabled | qt.Qt.ItemIsSelectable) else: item.setText(content) def _checkBoxSlot(self, ddict): row = ddict["row"] column = ddict["column"] self.emitSelectionChangedSignal(cell=(row, column)) def _radioButtonSlot(self, ddict): # I handle them in the same way return self._checkBoxSlot(ddict) def getSelection(self): ddict = {} for column in range(self.columnCount()): label = self._labels[column].lower() ddict[label] = [] if self._types[column].lower() in ["checkbox", "radiobutton"]: for row in range(self.rowCount()): if self.cellWidget(row, column).isChecked(): ddict[label].append(row) else: for row in range(self.rowCount()): ddict[label].append(self.item(row, column).text()) return ddict def setSelection(self, ddict, qtCall=None): if qtCall is not None: return super(SelectionTable, self).setSelection(ddict, qtCall) for key in ddict: for column in range(self.columnCount()): if key.lower() == self._labels[column].lower(): if self._types[column].lower() in ["checkbox", "radiobutton"]: for row in range(self.rowCount()): widget = self.cellWidget(row, column) if row in ddict[key]: widget.setChecked(True) else: widget.setChecked(False) else: # text if self.rowCount() < len(ddict[key]): self.setRowCount(len(ddict[key])) for row in range(len(ddict[key])): content = ddict[key][row] item = self.item(row, column) item.setText(content) def emitSelectionChangedSignal(self, cell=None): ddict = self.getSelection() ddict["event"] = "selectionChanged" ddict["cell"] = cell self.sigSelectionTableSignal.emit(ddict) class CheckBoxItem(qt.QCheckBox): sigCheckBoxItemSignal = qt.pyqtSignal(object) def __init__(self, parent, row, col): super(CheckBoxItem, self).__init__(parent) self.__row = row self.__col = col self.clicked[bool].connect(self._mySignal) def _mySignal(self, value): ddict = {} ddict["event"] = "clicked" ddict["state"] = value ddict["row"] = self.__row * 1 ddict["column"] = self.__col * 1 # for compatibility ... ddict["col"] = ddict["column"] self.sigCheckBoxItemSignal.emit(ddict) class RadioButtonItem(qt.QRadioButton): sigRadioButtonItemSignal = qt.pyqtSignal(object) def __init__(self, parent, row, col): super(RadioButtonItem, self).__init__(parent) self.__row = row self.__col = col self.clicked[bool].connect(self._mySignal) def _mySignal(self, value): ddict = {} ddict["event"] = "clicked" ddict["state"] = value ddict["row"] = self.__row * 1 ddict["column"] = self.__col * 1 # for compatibility ... ddict["col"] = ddict["column"] self.sigRadioButtonItemSignal.emit(ddict) if __name__ == "__main__": app = qt.QApplication([]) def slot(ddict): print("received dict = ", ddict) tab = SelectionTable(labels=["Legend", "X", "Y"], types=["Text", "RadioButton", "RadioButton"]) tab.sigSelectionTableSignal.connect(slot) tab.fillTable([["Cnt1", "", ""], ["Cnt2", "", ""], ["Cnt3", "", ""], ["Cnt4", "", ""], ["Cnt5", "", ""]]) tab.setSelection({'x':[1], 'y':[4], 'legend':["dummy", "Ca K", "Fe K", "Pb M", "U l"]}) tab.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/misc/FrameBrowser.py0000644000276300001750000002662213136054446021420 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt icon_first = ["22 22 2 1", ". c None", "# c #000000", "......................", "......................", ".#.................##.", ".#...............####.", ".#.............######.", ".#...........########.", ".#.........##########.", ".#.......############.", ".#.....##############.", ".#...################.", ".#.##################.", ".#.##################.", ".#...################.", ".#.....##############.", ".#.......############.", ".#.........##########.", ".#...........########.", ".#.............######.", ".#...............####.", ".#.................##.", "......................", "......................"] icon_previous = ["22 22 2 1", ". c None", "# c #000000", "......................", "......................", "...................##.", ".................####.", "...............######.", ".............########.", "...........##########.", ".........############.", ".......##############.", ".....################.", "...##################.", "...##################.", ".....################.", ".......##############.", ".........############.", "...........##########.", ".............########.", "...............######.", ".................####.", "...................##.", "......................", "......................"] icon_next = ["22 22 2 1", ". c None", "# c #000000", "......................", "......................", ".##...................", ".####.................", ".######...............", ".########.............", ".##########...........", ".############.........", ".##############.......", ".################.....", ".##################...", ".##################...", ".################.....", ".##############.......", ".############.........", ".##########...........", ".########.............", ".######...............", ".####.................", ".##...................", "......................", "......................"] icon_last = ["22 22 2 1", ". c None", "# c #000000", "......................", "......................", ".##.................#.", ".####...............#.", ".######.............#.", ".########...........#.", ".##########.........#.", ".############.......#.", ".##############.....#.", ".################...#.", ".##################.#.", ".##################.#.", ".################...#.", ".##############.....#.", ".############.......#.", ".##########.........#.", ".########...........#.", ".######.............#.", ".####...............#.", ".##.................#.", "......................", "......................"] class FrameBrowser(qt.QWidget): sigIndexChanged = qt.pyqtSignal(object) def __init__(self, parent=None, n=1): qt.QWidget.__init__(self, parent) self.mainLayout=qt.QHBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self.firstButton = qt.QPushButton(self) self.firstButton.setIcon(qt.QIcon(qt.QPixmap(icon_first))) self.previousButton = qt.QPushButton(self) self.previousButton.setIcon(qt.QIcon(qt.QPixmap(icon_previous))) self.lineEdit = qt.QLineEdit(self) self.lineEdit.setFixedWidth(self.lineEdit.fontMetrics().width('%05d' % n)) validator = qt.QIntValidator(1, n, self.lineEdit) self.lineEdit.setText("1") self._oldIndex = 0 self.lineEdit.setValidator(validator) self.label = qt.QLabel(self) self.label.setText("of %d" % n) self.nextButton = qt.QPushButton(self) self.nextButton.setIcon(qt.QIcon(qt.QPixmap(icon_next))) self.lastButton = qt.QPushButton(self) self.lastButton.setIcon(qt.QIcon(qt.QPixmap(icon_last))) self.mainLayout.addWidget(qt.HorizontalSpacer(self)) self.mainLayout.addWidget(self.firstButton) self.mainLayout.addWidget(self.previousButton) self.mainLayout.addWidget(self.lineEdit) self.mainLayout.addWidget(self.label) self.mainLayout.addWidget(self.nextButton) self.mainLayout.addWidget(self.lastButton) self.mainLayout.addWidget(qt.HorizontalSpacer(self)) self.firstButton.clicked.connect(self._firstClicked) self.previousButton.clicked.connect(self._previousClicked) self.nextButton.clicked.connect(self._nextClicked) self.lastButton.clicked.connect(self._lastClicked) self.lineEdit.editingFinished.connect(self._textChangedSlot) def _firstClicked(self): self.lineEdit.setText("%d" % self.lineEdit.validator().bottom()) self._textChangedSlot() def _previousClicked(self): if self._oldIndex >= self.lineEdit.validator().bottom(): self.lineEdit.setText("%d" % (self._oldIndex)) self._textChangedSlot() def _nextClicked(self): if self._oldIndex < (self.lineEdit.validator().top()-1): self.lineEdit.setText("%d" % (self._oldIndex+2)) self._textChangedSlot() def _lastClicked(self): self.lineEdit.setText("%d" % self.lineEdit.validator().top()) self._textChangedSlot() def _textChangedSlot(self): txt = str(self.lineEdit.text()) if not len(txt): self.lineEdit.setText("%d" % (self._oldIndex+1)) return newValue = int(txt) - 1 if newValue == self._oldIndex: return ddict = {} ddict["event"] = "indexChanged" ddict["old"] = self._oldIndex + 1 self._oldIndex = newValue ddict["new"] = self._oldIndex + 1 ddict["id"] = id(self) self.sigIndexChanged.emit(ddict) def setRange(self, first, last): return self.setLimits(first, last) def setLimits(self, first, last): bottom = min(first, last) top = max(first, last) self.lineEdit.validator().setTop(top) self.lineEdit.validator().setBottom(bottom) self._oldIndex = bottom - 1 self.lineEdit.setText("%d" % (self._oldIndex + 1)) self.label.setText(" limits = %d, %d" % (bottom, top)) def setNFrames(self, nframes): bottom = 1 top = nframes self.lineEdit.validator().setTop(top) self.lineEdit.validator().setBottom(bottom) self._oldIndex = bottom - 1 self.lineEdit.setText("%d" % (self._oldIndex + 1)) self.label.setText(" of %d" % (top)) def getCurrentIndex(self): return self._oldIndex + 1 def setValue(self, value): self.lineEdit.setText("%d" % value) self._textChangedSlot() class HorizontalSliderWithBrowser(qt.QAbstractSlider): sigIndexChanged = qt.pyqtSignal(object) def __init__(self, *var): qt.QAbstractSlider.__init__(self, *var) self.setOrientation(qt.Qt.Horizontal) self.mainLayout = qt.QHBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self._slider = qt.QSlider(self) self._slider.setOrientation(qt.Qt.Horizontal) self._browser = FrameBrowser(self) self.mainLayout.addWidget(self._slider) self.mainLayout.addWidget(self._browser) self._slider.valueChanged[int].connect(self._sliderSlot) self._browser.sigIndexChanged.connect(self._browserSlot) def setMinimum(self, value): self._slider.setMinimum(value) maximum = self._slider.maximum() if value == 1: self._browser.setNFrames(maximum) else: self._browser.setRange(value, maximum) def setMaximum(self, value): self._slider.setMaximum(value) minimum = self._slider.minimum() if minimum == 1: self._browser.setNFrames(value) else: self._browser.setRange(minimum, value) def setRange(self, *var): self._slider.setRange(*var) self._browser.setRange(*var) def _sliderSlot(self, value): self._browser.setValue(value) self.valueChanged.emit(value) def _browserSlot(self, ddict): self._slider.setValue(ddict['new']) def setValue(self, value): self._slider.setValue(value) self._browser.setValue(value) def value(self): return self._slider.value() def test1(args): app=qt.QApplication(args) w=HorizontalSliderWithBrowser() def slot(ddict): print(ddict) w.valueChanged[int].connect(slot) w.setRange(8, 20) w.show() app.exec_() def test2(args): app=qt.QApplication(args) w=FrameBrowser() def slot(ddict): print(ddict) w.sigIndexChanged.connect(slot) if len(args) > 1: w.setLimits(8, 20) w.show() app.exec_() if __name__=="__main__": import sys test1(sys.argv) PyMca5-5.2.2/PyMca5/PyMcaGui/misc/NumpyArrayTableWidget.py0000644000276300001750000001214213136054446023235 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt from . import FrameBrowser from . import NumpyArrayTableView class BrowserContainer(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) class NumpyArrayTableWidget(qt.QWidget): def __init__(self, parent=None): qt.QTableWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self.browserContainer = BrowserContainer(self) self._widgetList = [] for i in range(4): browser = FrameBrowser.HorizontalSliderWithBrowser(self.browserContainer) self.browserContainer.mainLayout.addWidget(browser) self._widgetList.append(browser) browser.valueChanged.connect(self.browserSlot) if i == 0: browser.setEnabled(False) browser.hide() self.view = NumpyArrayTableView.NumpyArrayTableView(self) self.mainLayout.addWidget(self.browserContainer) self.mainLayout.addWidget(self.view) def setArrayData(self, data): self._array = data nWidgets = len(self._widgetList) nDimensions = len(self._array.shape) if nWidgets > (nDimensions - 2): for i in range((nDimensions - 2), nWidgets): browser = self._widgetList[i] self._widgetList[i].setEnabled(False) self._widgetList[i].hide() else: for i in range(nWidgets, nDimensions - 2): browser = FrameBrowser.HorizontalSliderWithBrowser(self.browserContainer) self.browserContainer.mainLayout.addWidget(browser) self._widgetList.append(browser) browser.valueChanged.connect(self.browserSlot) browser.setEnabled(False) browser.hide() for i in range(nWidgets): browser = self._widgetList[i] if (i + 2 ) < nDimensions: browser.setEnabled(True) if browser.isHidden(): browser.show() browser.setRange(1, self._array.shape[i]) else: browser.setEnabled(False) browser.hide() self.view.setArrayData(self._array) def browserSlot(self, value): if len(self._array.shape) == 3: self.view.setCurrentArrayIndex(value - 1) self.view.reset() else: index = [] for browser in self._widgetList: if browser.isEnabled(): index.append(browser.value() - 1) self.view.setCurrentArrayIndex(index) self.view.reset() if __name__ == "__main__": import numpy import sys a = qt.QApplication([]) d = numpy.random.normal(0,1, (4, 5, 1000,1000)) for j in range(4): for i in range(5): d[j, i, :, :] += i + 10 * j #m = NumpyArrayTableModel(numpy.arange(100.), fmt="%.5f") #m = NumpyArrayTableModel(numpy.ones((100,20)), fmt="%.5f") w = NumpyArrayTableWidget() if "2" in sys.argv: print("sending a single image") w.setArrayData(d[0,0]) elif "3" in sys.argv: print("sending a 5 images ") w.setArrayData(d[0]) else: print("sending a 4 * 5 images ") w.setArrayData(d) #m.setCurrentIndex(4) #m.setArrayData(numpy.ones((100,100))) w.show() a.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/0000755000276300001750000000000013205526235016613 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/QHDF5StackWizard.py0000644000276300001750000003423013136054446022150 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import posixpath from PyMca5.PyMcaGui import PyMcaQt as qt safe_str = qt.safe_str from PyMca5.PyMcaGui.io.hdf5 import QNexusWidget from PyMca5.PyMcaCore import NexusDataSource from PyMca5 import PyMcaDirs class IntroductionPage(qt.QWizardPage): def __init__(self, parent): qt.QWizardPage.__init__(self, parent) self.setTitle("HDF5 Stack Selection Wizard") text = "This wizard will help you to select the " text += "appropriate dataset(s) belonging to your stack" self.setSubTitle(text) class FileListPage(qt.QWizardPage): def __init__(self, parent): qt.QWizardPage.__init__(self, parent) self.setTitle("HDF5 Stack File Selection") text = "The files below belong to your stack" self.setSubTitle(text) self.fileList = [] self.inputDir = None self.mainLayout= qt.QVBoxLayout(self) listlabel = qt.QLabel(self) listlabel.setText("Input File list") self._listView = qt.QTextEdit(self) self._listView.setMaximumHeight(30*listlabel.sizeHint().height()) self._listView.setReadOnly(True) self._listButton = qt.QPushButton(self) self._listButton.setText('Browse') self._listButton.setAutoDefault(False) self.mainLayout.addWidget(listlabel) self.mainLayout.addWidget(self._listView) self.mainLayout.addWidget(self._listButton) self._listButton.clicked.connect(self.browseList) def setFileList(self, filelist): text = "" #filelist.sort() for ffile in filelist: text += "%s\n" % ffile self.fileList = filelist self._listView.setText(text) def validatePage(self): if not len(self.fileList): return False return True def browseList(self): if self.inputDir is None: self.inputDir = PyMcaDirs.inputDir if not os.path.exists(self.inputDir): self.inputDir = os.getcwd() wdir = self.inputDir filedialog = qt.QFileDialog(self) filedialog.setWindowTitle("Open a set of files") filedialog.setDirectory(wdir) if hasattr(filedialog, "setFilters"): filedialog.setFilters(["HDF5 Files (*.nxs *.h5 *.hdf)", "HDF5 Files (*.h5)", "HDF5 Files (*.hdf)", "HDF5 Files (*.nxs)", "HDF5 Files (*)"]) else: filedialog.setNameFilters(["HDF5 Files (*.nxs *.h5 *.hdf)", "HDF5 Files (*.h5)", "HDF5 Files (*.hdf)", "HDF5 Files (*.nxs)", "HDF5 Files (*)"]) filedialog.setModal(1) filedialog.setFileMode(filedialog.ExistingFiles) ret = filedialog.exec_() if ret == qt.QDialog.Accepted: filelist0=filedialog.selectedFiles() else: self.raise_() return filelist = [] for f in filelist0: filelist.append(safe_str(f)) if len(filelist): self.setFileList(filelist) PyMcaDirs.inputDir = os.path.dirname(filelist[0]) self.inputDir = os.path.dirname(filelist[0]) self.raise_() class StackIndexWidget(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QHBoxLayout(self) #self.mainLayout.setContentsMargins(0, 0, 0, 0) #self.mainLayout.setSpacing(0) self.buttonGroup = qt.QButtonGroup(self) i = 0 for text in ["1D data is first dimension", "1D data is last dimension"]: rButton = qt.QRadioButton(self) rButton.setText(text) self.mainLayout.addWidget(rButton) self.buttonGroup.addButton(rButton, i) i += 1 rButton.setChecked(True) self._stackIndex = -1 self.buttonGroup.buttonPressed.connect(self._slot) def _slot(self, button): if "first" in safe_str(button.text()).lower(): self._stackIndex = 0 else: self._stackIndex = -1 def setIndex(self, index): if index == 0: self._stackIndex = 0 self.buttonGroup.button(0).setChecked(True) else: self._stackIndex = -1 self.buttonGroup.button(1).setChecked(True) class DatasetSelectionPage(qt.QWizardPage): def __init__(self, parent): qt.QWizardPage.__init__(self, parent) self.setTitle("HDF5 Dataset Selection") text = "Double click on the datasets you want to consider " text += "and select the role they will play at the end by " text += "selecting the appropriate checkbox(es)" self.selection = None self.setSubTitle(text) self.mainLayout = qt.QVBoxLayout(self) self.nexusWidget = LocalQNexusWidget(self) self.nexusWidget.buttons.hide() self.mainLayout.addWidget(self.nexusWidget, 1) self.stackIndexWidget = StackIndexWidget(self) self.mainLayout.addWidget(self.stackIndexWidget, 0) def setFileList(self, filelist): self.dataSource = NexusDataSource.NexusDataSource(filelist[0]) self.nexusWidget.setDataSource(self.dataSource) phynxFile = self.dataSource._sourceObjectList[0] keys = list(phynxFile.keys()) if len(keys) != 1: return #check if it is an NXentry entry = phynxFile[keys[0]] attrs = list(entry.attrs) if 'NX_class' in attrs: attr = entry.attrs['NX_class'] if sys.version > '2.9': try: attr = attr.decode('utf-8') except: print("WARNING: Cannot decode NX_class attribute") attr = None else: attr = None if attr is None: return if attr != 'NXentry': return #check if there is only one NXdata nxDataList = [] for key in entry.keys(): attr = entry[key].attrs.get('NX_class', None) if attr is None: continue if sys.version > '2.9': try: attr = attr.decode('utf-8') except: print("WARNING: Cannot decode NX_class attribute") continue if attr in ['NXdata']: nxDataList.append(key) if len(nxDataList) != 1: return nxData = entry[nxDataList[0]] #try to get the signals signalList = [] axesList = [] interpretation = "" for key in nxData.keys(): if 'signal' in nxData[key].attrs.keys(): if int(nxData[key].attrs['signal']) == 1: signalList.append(key) if len(signalList) == 1: if 'interpretation' in nxData[key].attrs.keys(): interpretation = nxData[key].attrs['interpretation'] if sys.version > '2.9': try: interpretation = interpretation.decode('utf-8') except: print("WARNING: Cannot decode interpretation") if interpretation == "image": self.stackIndexWidget.setIndex(0) if 'axes' in nxData[key].attrs.keys(): axes = nxData[key].attrs['axes'] if sys.version > '2.9': try: axes = axes.decode('utf-8') except: print("WARNING: Cannot decode axes") axes = axes.split(":") for axis in axes: if axis in nxData.keys(): axesList.append(axis) if not len(signalList): return ddict = {} ddict['counters'] = [] ddict['aliases'] = [] for signal in signalList: path = posixpath.join("/",nxDataList[0], signal) ddict['counters'].append(path) ddict['aliases'].append(posixpath.basename(signal)) for axis in axesList: path = posixpath.join("/",nxDataList[0], axis) ddict['counters'].append(path) ddict['aliases'].append(posixpath.basename(axis)) if sys.platform == "darwin" and\ len(ddict['counters']) > 3 and\ qt.qVersion().startswith('4.8'): # workaround a strange bug on Mac: # when the counter list has to be scrolled # the selected button also changes!!!! return self.nexusWidget.setWidgetConfiguration(ddict) if len(signalList): if len(axesList) == 0: self.nexusWidget.cntTable.setCounterSelection({'y':[0]}) elif interpretation == "image": self.nexusWidget.cntTable.setCounterSelection({'y':[0], 'x':[1]}) elif interpretation == "spectrum": self.nexusWidget.cntTable.setCounterSelection({'y':[0], 'x':[len(axesList)]}) else: self.nexusWidget.cntTable.setCounterSelection({'y':[0]}) def validatePage(self): cntSelection = self.nexusWidget.cntTable.getCounterSelection() cntlist = cntSelection['cntlist'] if not len(cntlist): text = "No dataset selection" self.showMessage(text) return False if not len(cntSelection['y']): text = "No dataset selected as y" self.showMessage(text) return False selection = {} selection['x'] = [] selection['y'] = [] selection['m'] = [] selection['index'] = self.stackIndexWidget._stackIndex for key in ['x', 'y', 'm']: if len(cntSelection[key]): for idx in cntSelection[key]: selection[key].append(cntlist[idx]) self.selection = selection return True def showMessage(self, text): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Information) msg.setText(text) msg.exec_() class ShapePage(qt.QWizardPage): def __init__(self, parent): qt.QWizardPage.__init__(self, parent) self.setTitle("HDF5 Map Shape Selection") text = "Adjust the shape of your map if necessary" self.setSubTitle(text) class LocalQNexusWidget(QNexusWidget.QNexusWidget): def showInfoWidget(self, filename, name, dset=False): w = QNexusWidget.QNexusWidget.showInfoWidget(self, filename, name, dset) w.hide() w.setWindowModality(qt.Qt.ApplicationModal) w.show() class QHDF5StackWizard(qt.QWizard): def __init__(self, parent=None): qt.QWizard.__init__(self, parent) self.setWindowTitle("HDF5 Stack Wizard") #self._introduction = self.createIntroductionPage() self._fileList = self.createFileListPage() self._datasetSelection = self.createDatasetSelectionPage() #self._shape = self.createShapePage() #self.addPage(self._introduction) self.addPage(self._fileList) self.addPage(self._datasetSelection) #self.addPage(self._shape) #self.connect(qt.SIGNAL("currentIdChanged(int"), # currentChanged) def sizeHint(self): width = qt.QWizard.sizeHint(self).width() height = qt.QWizard.sizeHint(self).height() return qt.QSize(width, int(1.5 * height)) def createIntroductionPage(self): return IntroductionPage(self) def setFileList(self, filelist): self._fileList.setFileList(filelist) def createFileListPage(self): return FileListPage(self) def createDatasetSelectionPage(self): return DatasetSelectionPage(self) def createShapePage(self): return ShapePage(self) def initializePage(self, value): if value == 1: #dataset page self._datasetSelection.setFileList(self._fileList.fileList) def getParameters(self): return self._fileList.fileList,\ self._datasetSelection.selection,\ [x[0] for x in self._datasetSelection.nexusWidget.getSelectedEntries()] if __name__ == "__main__": import sys app = qt.QApplication(sys.argv) w = QHDF5StackWizard() ret = w.exec_() if ret == qt.QDialog.Accepted: print(w.getParameters()) PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/SilxExternalImagesWindow.py0000644000276300001750000002465213136054446024141 0ustar solebliss00000000000000# /*######################################################################### # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ __authors__ = ["V.A. Sole", "P. Knobel"] __contact__ = "sole@esrf.fr" __license__ = "MIT" import numpy from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, "QString"): QString = qt.QString else: QString = str from PyMca5.PyMcaGui.plotting.PyMca_Icons import IconDict from PyMca5.PyMcaGui.plotting import SilxMaskImageWidget class SilxExternalImagesWindow(SilxMaskImageWidget.SilxMaskImageWidget): """Widget displaying a single external image meant to be used as a background image underneath the stack data (e.g. sample photo). Crop and rotate operations can be applied to the image to align it with the data. It is technically possible to add multiple background image with different origins and sizes. They will all be plotted on the same background layer. But he crop and rotation operations will only be applied to the first image. """ def __init__(self, parent=None): SilxMaskImageWidget.SilxMaskImageWidget.__init__(self, parent=parent) # Additional actions added to action group self.cropIcon = qt.QIcon(qt.QPixmap(IconDict["crop"])) self.cropButton = qt.QToolButton(self) self.cropButton.setIcon(self.cropIcon) self.cropButton.setToolTip("Crop image to current zoomed area") self.cropButton.clicked.connect(self._cropIconChecked) self.hFlipIcon = qt.QIcon(qt.QPixmap(IconDict["gioconda16mirror"])) self.hFlipToolButton = qt.QToolButton(self) self.hFlipToolButton.setIcon(self.hFlipIcon) self.hFlipToolButton.setToolTip("Flip image and data, not the scale.") self._flipMenu = qt.QMenu() self._flipMenu.addAction(QString("Flip Image Left-Right"), self._flipLeftRight) self._flipMenu.addAction(QString("Flip Image Up-Down"), self._flipUpDown) self.hFlipToolButton.setMenu(self._flipMenu) self.hFlipToolButton.setPopupMode(qt.QToolButton.InstantPopup) self.rotateLeftIcon = qt.QIcon(qt.QPixmap(IconDict["rotate_left"])) self.rotateRightIcon = qt.QIcon(qt.QPixmap(IconDict["rotate_right"])) self.rotateButton = qt.QToolButton(self) self.rotateButton.setIcon(self.rotateLeftIcon) self.rotateButton.setToolTip("Rotate image by 90 degrees") self._rotateMenu = qt.QMenu() self.rotateLeftAction = qt.QAction(self.rotateLeftIcon, QString("Rotate left"), self) self.rotateLeftAction.triggered.connect(self._rotateLeft) self._rotateMenu.addAction(self.rotateLeftAction) self.rotateRightAction = qt.QAction(self.rotateRightIcon, QString("Rotate right"), self) self.rotateRightAction.triggered.connect(self._rotateRight) self._rotateMenu.addAction(self.rotateRightAction) self.rotateButton.setMenu(self._rotateMenu) self.rotateButton.setPopupMode(qt.QToolButton.InstantPopup) toolbar = qt.QToolBar("Image edition", parent=self) # custom widgets added to the end toolbar.addWidget(self.cropButton) toolbar.addWidget(self.hFlipToolButton) toolbar.addWidget(self.rotateButton) self.addToolBar(toolbar) # hide stack image slider, show transparency slider self.slider.hide() self.setAlphaSliderVisible(True) self.setImagesAlpha(0.) def _getCurrentBgHeightWidth(self): """Return height and width for the main bg image""" image = self._bg_images[0] ncols = image.shape[1] nrows = image.shape[0] width = ncols * self._bg_deltaXY[0][0] # X height = nrows * self._bg_deltaXY[0][1] # Y return height, width def _getAllBgHeightsWidths(self): widths = [] heights = [] for i, img in enumerate(self._bg_images): ncols = img.shape[1] nrows = img.shape[0] widths.append(ncols * self._bg_deltaXY[i][0]) heights.append(nrows * self._bg_deltaXY[i][1]) return heights, widths def _updateBgImages(self): """Reset background images after they changed""" heights, widths = self._getAllBgHeightsWidths() self.setBackgroundImages(self._bg_images, self._bg_labels, origins=self._bg_origins, widths=widths, heights=heights) def _cropIconChecked(self): """Crop first background image to the X and Y ranges currently displayed (crop to zoomed area)""" heights, widths = self._getAllBgHeightsWidths() xmin, xmax = self.plot.getGraphXLimits() ymin, ymax = self.plot.getGraphYLimits() # crop must select an area within the original image's bounds xmin = max(xmin, self._bg_origins[0][0]) xmax = min(xmax, self._bg_origins[0][0] + widths[0]) ymin = max(ymin, self._bg_origins[0][1]) ymax = min(ymax, self._bg_origins[0][1] + heights[0]) cols_min = int((xmin - self._bg_origins[0][0]) / self._bg_deltaXY[0][0]) cols_max = int((xmax - self._bg_origins[0][0]) / self._bg_deltaXY[0][0]) rows_min = int((ymin - self._bg_origins[0][1]) / self._bg_deltaXY[0][1]) rows_max = int((ymax - self._bg_origins[0][1]) / self._bg_deltaXY[0][1]) self._bg_images[0] = self._bg_images[0][rows_min:rows_max, cols_min:cols_max] # after a crop, we need to recalculate :attr:`_bg_deltaXY` self._updateBgScales(heights, widths) self._updateBgImages() self.sigMaskImageWidget.emit( {'event': "cropSignal"}) def _flipUpDown(self): """Flip 1st bg image upside down""" self._bg_images[0] = numpy.flipud(self._bg_images[0]) self.sigMaskImageWidget.emit( {'event': "flipUpDownSignal"}) self._updateBgImages() def _flipLeftRight(self): self._bg_images[0] = numpy.fliplr(self._bg_images[0]) self.sigMaskImageWidget.emit( {'event': "flipLeftRightSignal"}) self._updateBgImages() def _rotateRight(self): """Rotate the image 90 degrees clockwise. Depending on the Y axis orientation, the array must be rotated by 90 or 270 degrees.""" heights, widths = self._getAllBgHeightsWidths() if not self.plot.isYAxisInverted(): self._bg_images[0] = numpy.rot90(self._bg_images[0], 1) else: self._bg_images[0] = numpy.rot90(self._bg_images[0], 3) self.sigMaskImageWidget.emit( {'event': "rotateRight"}) self._updateBgScales(heights, widths) self._updateBgImages() def _rotateLeft(self): """Rotate the image 90 degrees counterclockwise. Depending on the Y axis orientation, the array must be rotated by 90 or 270 degrees.""" heights, widths = self._getAllBgHeightsWidths() if not self.plot.isYAxisInverted(): self._bg_images[0] = numpy.rot90(self._bg_images[0], 3) else: self._bg_images[0] = numpy.rot90(self._bg_images[0], 1) self.sigMaskImageWidget.emit( {'event': "rotateLeft"}) self._updateBgScales(heights, widths) self._updateBgImages() # overload methods to send the bg image in the signal def _addImageClicked(self): imageData = self.getFirstBgImageData() ddict = { 'event': "addImageClicked", 'image': imageData, 'title': self.plot.getGraphTitle(), 'id': id(self)} self.sigMaskImageWidget.emit(ddict) def _replaceImageClicked(self): imageData = self.getFirstBgImageData() ddict = { 'event': "replaceImageClicked", 'image': imageData, 'title': self.plot.getGraphTitle(), 'id': id(self)} self.sigMaskImageWidget.emit(ddict) def _removeImageClicked(self): imageData = self.getFirstBgImageData() ddict = { 'event': "removeImageClicked", 'image': imageData, 'title': self.plot.getGraphTitle(), 'id': id(self)} self.sigMaskImageWidget.emit(ddict) # overload show image to ensure the stack data # does not change the background title def showImage(self, index=0): SilxMaskImageWidget.SilxMaskImageWidget.showImage(self, index) if self._bg_labels: self.plot.setGraphTitle(self._bg_labels[0]) def test(): app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) data = numpy.arange(10000) data.shape = 50, 200 data[8:12, 48:52] = 10000 data[6:14, 146:154] = 10000 data[34:46, 44:56] = 0 data[32:48, 142:158] = 0 container = SilxExternalImagesWindow() container.setBackgroundImages([data]) container.show() def theSlot(ddict): print(ddict) container.sigMaskImageWidget.connect(theSlot) app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/QStackWidget.py0000644000276300001750000014513313173367502021532 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import traceback import numpy import weakref from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, "QString"): QString = qt.QString else: QString = qt.safe_str from PyMca5.PyMcaGui import PyMcaFileDialogs from PyMca5.PyMcaCore import DataObject from PyMca5.PyMcaGui.pymca import McaWindow from PyMca5.PyMcaCore import StackBase from PyMca5.PyMcaGui import CloseEventNotifyingWidget from PyMca5.PyMcaGui import MaskImageWidget convertToRowAndColumn = MaskImageWidget.convertToRowAndColumn from PyMca5.PyMcaGui.pymca import StackROIWindow from PyMca5.PyMcaGui.pymca import RGBCorrelator from PyMca5.PyMcaGui.pymca.RGBCorrelatorWidget import ImageShapeDialog from PyMca5.PyMcaGui import IconDict from PyMca5.PyMcaGui.pymca import StackSelector from PyMca5 import PyMcaDirs from PyMca5.PyMcaIO import ArraySave HDF5 = ArraySave.HDF5 DEBUG = 0 QTVERSION = qt.qVersion() if DEBUG: StackBase.DEBUG = DEBUG class QStackWidget(StackBase.StackBase, CloseEventNotifyingWidget.CloseEventNotifyingWidget): def __init__(self, parent = None, mcawidget = None, rgbwidget = None, vertical = False, master = True): StackBase.StackBase.__init__(self) CloseEventNotifyingWidget.CloseEventNotifyingWidget.__init__(self, parent) self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.setWindowTitle("PyMCA - ROI Imaging Tool") screenHeight = qt.QDesktopWidget().height() if screenHeight > 0: if QTVERSION < '4.5.0': self.setMaximumHeight(int(0.99*screenHeight)) self.setMinimumHeight(int(0.5*screenHeight)) screenWidth = qt.QDesktopWidget().width() if screenWidth > 0: if QTVERSION < '4.5.0': self.setMaximumWidth(int(screenWidth)-5) self.setMinimumWidth(min(int(0.5*screenWidth),800)) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.mcaWidget = mcawidget self.rgbWidget = rgbwidget self.master = master self._slave = None self._masterStack = None self.stackSelector = None self._build(vertical=vertical) self._buildBottom() self._buildConnections() self.__ROIConnected = True def _build(self, vertical=False): box = qt.QSplitter(self) if vertical: box.setOrientation(qt.Qt.Vertical) boxmainlayout = qt.QVBoxLayout(box) else: box.setOrientation(qt.Qt.Horizontal) boxmainlayout = qt.QHBoxLayout(box) self.stackWindow = qt.QWidget(box) self.stackWindow.mainLayout = qt.QVBoxLayout(self.stackWindow) self.stackWindow.mainLayout.setContentsMargins(0, 0, 0, 0) self.stackWindow.mainLayout.setSpacing(0) self.stackWidget = MaskImageWidget.MaskImageWidget(self.stackWindow, selection=False, standalonesave=False, imageicons=False, aspect=True) self._stackSaveMenu = qt.QMenu() if HDF5: self._stackSaveMenu.addAction(QString("Save Zoomed Stack Region as Spectra"), self.saveStackAsNeXusSpectra) self._stackSaveMenu.addAction(QString("Save Zoomed Stack Region as Images"), self.saveStackAsNeXusImages) self._stackSaveMenu.addAction(QString("Save Zoomed Stack Region as Compressed Spectra"), self.saveStackAsNeXusCompressedSpectra) self._stackSaveMenu.addAction(QString("Save Zoomed Stack Region as Compressed Images"), self.saveStackAsNeXusCompressedImages) self._stackSaveMenu.addAction(QString("Save Zoomed Stack Region as Float32 Spectra"), self.saveStackAsFloat32NeXusSpectra) self._stackSaveMenu.addAction(QString("Save Zoomed Stack Region as Float64 Spectra"), self.saveStackAsFloat64NeXusSpectra) self._stackSaveMenu.addAction(QString("Save Zoomed Stack Region as Float32 Images"), self.saveStackAsFloat32NeXusImages) self._stackSaveMenu.addAction(QString("Save Zoomed Stack Region as Float64 Images"), self.saveStackAsFloat64NeXusImages) self._stackSaveMenu.addAction(QString("Save Zoomed Stack Region as HDF5 /data"), self.saveStackAsSimplestHDF5) self._stackSaveMenu.addAction(QString("Save Zoomed Stack Region as Monochromatic TIFF Images"), self.saveStackAsMonochromaticTiffImages) self._stackSaveMenu.addAction(QString("Save Zoomed Stack Region as Float32 TIFF Images"), self.saveStackAsFloat32TiffImages) self._stackSaveMenu.addAction(QString("Standard Graphics"), self.stackWidget.graphWidget._saveIconSignal) self.stackWidget.graphWidget.saveToolButton.clicked.connect( \ self._stackSaveToolButtonSignal) self.stackGraphWidget = self.stackWidget.graphWidget self.roiWindow = qt.QWidget(box) self.roiWindow.mainLayout = qt.QVBoxLayout(self.roiWindow) self.roiWindow.mainLayout.setContentsMargins(0, 0, 0, 0) self.roiWindow.mainLayout.setSpacing(0) standaloneSaving = True self.roiWidget = MaskImageWidget.MaskImageWidget(parent=self.roiWindow, rgbwidget=self.rgbWidget, selection=True, colormap=True, imageicons=True, standalonesave=standaloneSaving, profileselection=True, aspect=True) infotext = 'Toggle background subtraction from current image\n' infotext += 'subtracting a straight line between the ROI limits.' self.roiBackgroundIcon = qt.QIcon(qt.QPixmap(IconDict["subtract"])) self.roiBackgroundButton = self.roiWidget.graphWidget._addToolButton(\ self.roiBackgroundIcon, self._roiSubtractBackgroundClicked, infotext, toggle = True, state = False, position = 6) self.roiGraphWidget = self.roiWidget.graphWidget self.stackWindow.mainLayout.addWidget(self.stackWidget) self.roiWindow.mainLayout.addWidget(self.roiWidget) box.addWidget(self.stackWindow) box.addWidget(self.roiWindow) boxmainlayout.addWidget(self.stackWindow) boxmainlayout.addWidget(self.roiWindow) self.mainLayout.addWidget(box) #add some missing icons offset = 6 infotext = 'If checked, spectra will be added normalized to the number\n' infotext += 'of pixels. Be carefull if you are preparing a batch and you\n' infotext += 'fit the normalized spectra because the data in the batch will\n' infotext += 'have a different weight because they are not normalized.' self.normalizeIcon = qt.QIcon(qt.QPixmap(IconDict["normalize16"])) self.normalizeButton = self.stackGraphWidget._addToolButton(\ self.normalizeIcon, self.normalizeIconChecked, infotext, toggle = True, state = False, position = 6) offset += 1 if self.master: self.loadIcon = qt.QIcon(qt.QPixmap(IconDict["fileopen"])) self.loadStackButton = self.stackGraphWidget._addToolButton(\ self.loadIcon, self.loadSlaveStack, 'Load another stack of same shape', position = offset) offset += 1 self.pluginIcon = qt.QIcon(qt.QPixmap(IconDict["plugin"])) infotext = "Call/Load Stack Plugins" self.stackGraphWidget._addToolButton(self.pluginIcon, self._pluginClicked, infotext, toggle = False, state = False, position = offset) def setStack(self, *var, **kw): self.stackWidget.setImageData(None) self.roiWidget.setImageData(None) StackBase.StackBase.setStack(self, *var, **kw) if (1 in self._stack.data.shape) and\ isinstance(self._stack.data, numpy.ndarray): oldshape = self._stack.data.shape dialog = ImageShapeDialog(self, shape = oldshape[0:2]) dialog.setModal(True) ret = dialog.exec_() if ret: shape = dialog.getImageShape() dialog.close() del dialog self._stack.data.shape = [shape[0], shape[1], oldshape[2]] self.stackWidget.setImageData(None) self.roiWidget.setImageData(None) StackBase.StackBase.setStack(self, self._stack, **kw) try: if 'SourceName' in self._stack.info: if type(self._stack.info['SourceName']) == type([]): if len(self._stack.info['SourceName']) == 1: title = qt.safe_str(self._stack.info['SourceName'][0]) else: f0 = qt.safe_str(self._stack.info['SourceName'][0]) f1 = qt.safe_str(self._stack.info['SourceName'][-1]) try: f0 = os.path.basename(f0) f1 = os.path.basename(f1) except: pass title = "Stack from %s to %s" % (f0, f1) else: title = qt.safe_str(self._stack.info['SourceName']) self.setWindowTitle(title) except: # TODO: give a reasonable title pass def normalizeIconChecked(self): pass def _roiSubtractBackgroundClicked(self): if not len(self._ROIImageList): return xScale = self._stack.info.get("xScale", None) yScale = self._stack.info.get("yScale", None) if self.roiBackgroundButton.isChecked(): self.roiWidget.graphWidget.graph.setGraphTitle(\ self._ROIImageNames[0]+" Net") self.roiWidget.setImageData(self._ROIImageList[0]-\ self._ROIImageList[-1], xScale=xScale, yScale=yScale) else: self.roiWidget.graphWidget.graph.setGraphTitle(\ self._ROIImageNames[0]) self.roiWidget.setImageData(self._ROIImageList[0], xScale=xScale, yScale=yScale) def _stackSaveToolButtonSignal(self): self._stackSaveMenu.exec_(self.cursor().pos()) def _getOutputHDF5Filename(self, nexus=False): fileTypes = "HDF5 Files (*.h5)\nHDF5 Files (*.hdf)" message = "Enter output filename" wdir = PyMcaDirs.outputDir filename = PyMcaFileDialogs.getFileList(self, message=message, mode="SAVE", currentdir=wdir, filetypelist=[fileTypes], getfilter=False, single=True) if len(filename): filename = filename[0] if len(filename): try: fname = qt.safe_str(filename) if fname.endswith('.h5') or\ fname.endswith('.hdf'): return fname else: return fname + ".h5" except UnicodeEncodeError: msg = qt.QMessageBox(self) msg.setWindowTitle("Encoding error") msg.setIcon(qt.QMessageBox.Critical) msg.setText("Please use ASCII characters in file name and path") msg.exec_() return "" def _getOutputTiffFilename(self): fileTypes = "TIFF Files (*.tif *.tiff *.TIF *.TIFF)" message = "Enter output filename" wdir = PyMcaDirs.outputDir filename = PyMcaFileDialogs.getFileList(self, message=message, mode="SAVE", currentdir=wdir, filetypelist=[fileTypes], getfilter=False, single=True) if len(filename): filename = filename[0] if len(filename): try: fname = qt.safe_str(filename) if fname.endswith('.tif') or\ fname.endswith('.tiff') or\ fname.endswith('.TIF') or\ fname.endswith('.TIFF'): return fname else: return fname + ".tif" except UnicodeEncodeError: msg = qt.QMessageBox(self) msg.setWindowTitle("Encoding error") msg.setIcon(qt.QMessageBox.Critical) msg.setText("Please use ASCII characters in file name and path") msg.exec_() return "" def saveStackAsMonochromaticTiffImages(self, dtype=None): if dtype is None: dtype = self._stack.data.dtype if dtype in [numpy.uint32, numpy.uint64]: dtype = numpy.float32 elif dtype in [numpy.int32, numpy.int64]: dtype = numpy.float32 filename = self._getOutputTiffFilename() if not len(filename): return mcaIndex = self._stack.info.get('McaIndex', -1) dataView = self._getCroppedView() ArraySave.save3DArrayAsMonochromaticTiff(dataView, filename, labels = None, dtype=dtype, mcaindex=mcaIndex) def saveStackAsFloat32TiffImages(self): return self.saveStackAsMonochromaticTiffImages(dtype=numpy.float32) def _getCroppedView(self): mcaIndex = self._stack.info.get('McaIndex', -1) #get limits y0, y1 = self.stackWidget.graph.getGraphYLimits() x0, x1 = self.stackWidget.graph.getGraphXLimits() xScale = self._stack.info.get("xScale", None) yScale = self._stack.info.get("yScale", None) if mcaIndex in [0]: shape = [self._stack.data.shape[1], self._stack.data.shape[2]] elif mcaIndex in [1]: shape = [self._stack.data.shape[0], self._stack.data.shape[2]] else: shape = [self._stack.data.shape[0], self._stack.data.shape[1]] row0, col0 = convertToRowAndColumn( \ x0, y0, shape, xScale=xScale, yScale=yScale, safe=True) row1, col1 = convertToRowAndColumn( \ x1, y1, shape, xScale=xScale, yScale=yScale, safe=True) #this should go to array save ... shape = self._stack.data.shape if mcaIndex in [0]: row0 = int(max([row0+0.5, 0])) row1 = int(min([row1+0.5, self._stack.data.shape[1]])) col0 = int(max([col0+0.5, 0])) col1 = int(min([col1+0.5, self._stack.data.shape[2]])) view = self._stack.data[:, row0:row1+1, col0:col1+1] elif mcaIndex in [1]: row0 = int(max([row0+0.5, 0])) row1 = int(min([row1+0.5, self._stack.data.shape[0]])) col0 = int(max([col0+0.5, 0])) col1 = int(min([col1+0.5, self._stack.data.shape[2]])) view = self._stack.data[row0:row1+1, : , col0:col1+1] else: row0 = int(max([row0+0.5, 0])) row1 = int(min([row1+0.5, self._stack.data.shape[0]])) col0 = int(max([col0+0.5, 0])) col1 = int(min([col1+0.5, self._stack.data.shape[1]])) view = self._stack.data[row0:row1+1, col0:col1+1,:] return view def saveStackAsNeXus(self, dtype=None, interpretation=None, compression=False): mcaIndex = self._stack.info.get('McaIndex', -1) if interpretation is None: if mcaIndex in [0]: interpretation = "image" else: interpretation = "spectrum" if interpretation not in ["spectrum", "image"]: raise ValueError("Unknown data interpretation %s" % interpretation) filename = self._getOutputHDF5Filename() if not len(filename): return # get only the seen stack portion view = self._getCroppedView() # the current graph axis is saved axes = [None] * len(self._stack.data.shape) labels = [None] * len(self._stack.data.shape) try: xLabel = qt.safe_str(self.mcaWidget.graph.getGraphXLabel()) except: xLabel = None try: xData, y, legend, info = self.mcaWidget.getActiveCurve()[:4] except: xData = self._mcaData0.x[0] xLabel = 'Channels' if interpretation == 'image': labels[0] = xLabel axes[0] = xData else: labels[-1] = xLabel axes[-1] = xData try: ArraySave.save3DArrayAsHDF5(view, filename, axes=axes, labels=labels, dtype=dtype, mode='nexus', mcaindex=mcaIndex, interpretation=interpretation, compression=compression) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Save error") msg.setText("An error has occured while saving the data:") msg.setInformativeText(qt.safe_str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() def saveStackAsNeXusSpectra(self, compression=False): self.saveStackAsNeXus(interpretation="spectrum", compression=compression) def saveStackAsNeXusImages(self): self.saveStackAsNeXus(interpretation="image", compression=False) def saveStackAsNeXusCompressedSpectra(self): self.saveStackAsNeXusSpectra(compression=True) def saveStackAsNeXusCompressedImages(self): self.saveStackAsNeXus(interpretation="image", compression=True) def saveStackAsFloat32NeXusSpectra(self): self.saveStackAsNeXus(dtype=numpy.float32, interpretation="spectrum") def saveStackAsFloat64NeXusSpectra(self): self.saveStackAsNeXus(dtype=numpy.float64, interpretation="spectrum") def saveStackAsFloat32NeXusImages(self): self.saveStackAsNeXus(dtype=numpy.float32, interpretation="image") def saveStackAsFloat64NeXusImages(self): self.saveStackAsNeXus(dtype=numpy.float64, interpretation="image") def saveStackAsNeXusPlus(self): filename = self._getOutputHDF5Filename() if not len(filename): return ArraySave.save3DArrayAsHDF5(self._stack.data, filename, labels = None, dtype=None, mode='nexus+') def saveStackAsSimpleHDF5(self): filename = self._getOutputHDF5Filename() if not len(filename): return ArraySave.save3DArrayAsHDF5(self._stack.data, filename, labels = None, dtype=None, mode='simple') def saveStackAsSimplestHDF5(self): filename = self._getOutputHDF5Filename() if not len(filename): return view = self._getCroppedView() ArraySave.save3DArrayAsHDF5(view, filename, labels = None, dtype=None, mode='simplest') def loadStack(self): if self._stackImageData is not None: #clear with a small stack stack = DataObject.DataObject() stack.data = numpy.zeros((100,100,100), numpy.float32) self.setStack(stack) if self.stackSelector is None: self.stackSelector = StackSelector.StackSelector(self) stack = self.stackSelector.getStack() if (type(stack) == type([])) or isinstance(stack, list): #aifira like, two stacks self.setStack(stack[0]) self._slave = None if len(stack) > 1: if stack[1] is not None: slave = QStackWidget(master=False, rgbwidget=self.rgbWidget) slave.setStack(stack[1]) if slave is not None: self.setSlave(slave) else: self.setStack(stack) def loadSlaveStack(self): if self._slave is not None: actionList = ['Load Slave', 'Show Slave', 'Merge Slave', 'Delete Slave'] menu = qt.QMenu(self) for action in actionList: text = QString(action) menu.addAction(text) a = menu.exec_(qt.QCursor.pos()) if a is None: return None if qt.safe_str(a.text()).startswith("Load"): self._closeSlave() elif qt.safe_str(a.text()).startswith("Show"): self._slave.show() self._slave.raise_() return elif qt.safe_str(a.text()).startswith("Merge"): masterStackDataObject = self.getStackDataObject() try: # Use views to ensure no casting is done in case of different dtype to save memory. # This is risky when the original stack is unsigned integers (overflow). masterStackDataObject.data[:] = masterStackDataObject.data[:] + self._slave.getStackData() except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Stack Summing Error") msg.setText("An error has occurred while summing the master and slave stacks") msg.setInformativeText(qt.safe_str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() self._closeSlave() self.setStack(masterStackDataObject) return else: self._closeSlave() return if self.stackSelector is None: self.stackSelector = StackSelector.StackSelector(self) try: stack = self.stackSelector.getStack() except: txt = "%s" % sys.exc_info()[1] if txt.startswith("Incomplete selection"): return msg = qt.QMessageBox(self) msg.setWindowTitle("Error loading slave stack") msg.setIcon(qt.QMessageBox.Critical) msg.setText("%s: %s" % (sys.exc_info()[0], sys.exc_info()[1])) msg.exec_() return if stack is None: return if type(stack) == type([]): stack = stack[0] slave = QStackWidget(rgbwidget=self.rgbWidget, master=False) slave.setStack(stack) self.setSlave(slave) def _closeSlave(self): self._slave.close() self._slave = None def setSlave(self, slave): self._slave = None self._slave = slave self._slave.setSelectionMask(self.getSelectionMask()) self._slave.show() self._slave._setMaster(self) def _setMaster(self, master=None): if self.master: self._masterStack = None return if master is None: master = self self._masterStack = weakref.proxy(master) def getStackDataObjectList(self): stackList = [] if self.master: stackList.append(self.getStackDataObject()) if self._slave is not None: stackList.append(self._slave.getStackDataObject()) else: stackList.append(self._masterStack.getStackDataObject()) stackList.append(self.getStackDataObject()) return stackList def _pluginClicked(self): actionList = [] menu = qt.QMenu(self) text = QString("Reload Plugins") menu.addAction(text) actionList.append(text) text = QString("Set User Plugin Directory") menu.addAction(text) actionList.append(text) global DEBUG if DEBUG: text = QString("Toggle DEBUG mode OFF") else: text = QString("Toggle DEBUG mode ON") menu.addAction(text) actionList.append(text) menu.addSeparator() callableKeys = ["Dummy0", "Dummy1", "Dummy2"] additionalItems = [] SORTED = True for m in self.pluginList: if m == "PyMcaPlugins.StackPluginBase": continue module = sys.modules[m] if hasattr(module, 'MENU_TEXT'): text = QString(module.MENU_TEXT) else: text = os.path.basename(module.__file__) if text.endswith('.pyc'): text = text[:-4] elif text.endswith('.py'): text = text[:-3] text = QString(text) methods = self.pluginInstanceDict[m].getMethods() if not len(methods): continue if SORTED: additionalItems.append((text, m)) else: menu.addAction(text) actionList.append(text) callableKeys.append(m) additionalItems.sort() for text, m in additionalItems: menu.addAction(text) actionList.append(text) callableKeys.append(m) a = menu.exec_(qt.QCursor.pos()) if a is None: return None idx = actionList.index(a.text()) if idx == 0: n = self.getPlugins() if n < 1: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Information) msg.setText("Problem loading plugins") msg.exec_() return if idx == 1: dirName = qt.safe_str(qt.QFileDialog.getExistingDirectory(self, "Enter user plugins directory", os.getcwd())) if len(dirName): pluginsDir = self.getPluginDirectoryList() pluginsDirList = [pluginsDir[0], dirName] self.setPluginDirectoryList(pluginsDirList) return if idx == 2: if DEBUG: DEBUG = 0 else: DEBUG = 1 StackBase.DEBUG = DEBUG return key = callableKeys[idx] methods = self.pluginInstanceDict[key].getMethods() if len(methods) == 1: idx = 0 else: actionList = [] #methods.sort() menu = qt.QMenu(self) for method in methods: text = QString(method) pixmap = self.pluginInstanceDict[key].getMethodPixmap(method) tip = QString(self.pluginInstanceDict[key].getMethodToolTip(\ method)) if pixmap is not None: action = qt.QAction(qt.QIcon(qt.QPixmap(pixmap)), text, self) else: action = qt.QAction(text, self) if tip is not None: action.setToolTip(tip) menu.addAction(action) actionList.append((text, pixmap, tip, action)) menu.hovered.connect(self._actionHovered) a = menu.exec_(qt.QCursor.pos()) if a is None: return None idx = -1 for action in actionList: if a.text() == action[0]: idx = actionList.index(action) try: self.pluginInstanceDict[key].applyMethod(methods[idx]) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Plugin error") msg.setText("An error has occured while executing the plugin:") msg.setInformativeText(qt.safe_str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() if DEBUG: raise def _actionHovered(self, action): tip = action.toolTip() if qt.safe_str(tip) != qt.safe_str(action.text()): qt.QToolTip.showText(qt.QCursor.pos(), tip) def _buildBottom(self): n = 0 self.tab = None if self.mcaWidget is None: n += 1 if self.rgbWidget is None: n += 1 if n == 1: if self.mcaWidget is None: self.mcaWidget = McaWindow.McaWindow(self) self.mcaWidget.setWindowTitle("PyMCA - Mca Window") self.mainLayout.addWidget(self.mcaWidget) if self.rgbWidget is None: self.rgbWidget = RGBCorrelator.RGBCorrelator(self) self.mainLayout.addWidget(self.rgbWidget) elif n == 2: self.tab = qt.QTabWidget(self) self.mcaWidget = McaWindow.McaWindow()#vertical=False) #self.mcaWidget.graph.setMinimumWidth(0.5 * \ # qt.QWidget.sizeHint(self).width()) self.tab.setMaximumHeight(1.3 * qt.QWidget.sizeHint(self).height()) self.mcaWidget.setWindowTitle("PyMCA - Mca Window") self.tab.addTab(self.mcaWidget, "MCA") self.rgbWidget = RGBCorrelator.RGBCorrelator() self.tab.addTab(self.rgbWidget, "RGB Correlator") self.mainLayout.addWidget(self.tab) self.mcaWidget.setMiddleROIMarkerFlag(True) def _buildAndConnectButtonBox(self): #the MCA selection self.mcaButtonBox = qt.QWidget(self.stackWindow) self.mcaButtonBoxLayout = qt.QHBoxLayout(self.mcaButtonBox) self.mcaButtonBoxLayout.setContentsMargins(0, 0, 0, 0) self.mcaButtonBoxLayout.setSpacing(0) self.addMcaButton = qt.QPushButton(self.mcaButtonBox) self.addMcaButton.setText("ADD MCA") self.removeMcaButton = qt.QPushButton(self.mcaButtonBox) self.removeMcaButton.setText("REMOVE MCA") self.replaceMcaButton = qt.QPushButton(self.mcaButtonBox) self.replaceMcaButton.setText("REPLACE MCA") self.mcaButtonBoxLayout.addWidget(self.addMcaButton) self.mcaButtonBoxLayout.addWidget(self.removeMcaButton) self.mcaButtonBoxLayout.addWidget(self.replaceMcaButton) self.stackWindow.mainLayout.addWidget(self.mcaButtonBox) self.addMcaButton.clicked.connect(self.__addMcaClicked) self.removeMcaButton.clicked.connect(self._removeMcaClicked) self.replaceMcaButton.clicked.connect(self._replaceMcaClicked) if self.rgbWidget is not None: # The IMAGE selection self.roiWidget.buildAndConnectImageButtonBox() def _buildConnections(self): self._buildAndConnectButtonBox() #ROI Image widgetList = [self.stackWidget, self.roiWidget] for widget in widgetList: widget.sigMaskImageWidgetSignal.connect(self._maskImageWidgetSlot) #self.stackGraphWidget.graph.canvas().setMouseTracking(1) # infoText gives problems with recent matplotlib versions # self.stackGraphWidget.setInfoText(" X = ???? Y = ???? Z = ????") # self.stackGraphWidget.showInfo() self.stackGraphWidget.graph.sigPlotSignal.connect(\ self._stackGraphSignal) self.mcaWidget.sigROISignal.connect(self._mcaWidgetSignal) self.roiWidget.graphWidget.graph.sigPlotSignal.connect(\ self._stackGraphSignal) def showOriginalImage(self): self.stackGraphWidget.graph.setGraphTitle("Original Stack") if self._stackImageData is None: self.stackGraphWidget.graph.clear() return xScale = self._stack.info.get("xScale", None) yScale = self._stack.info.get("yScale", None) self.stackWidget.setImageData(self._stackImageData, xScale=xScale, yScale=yScale) def showOriginalMca(self): goodData = numpy.isfinite(self._mcaData0.y[0].sum()) if goodData: self.sendMcaSelection(self._mcaData0, action="ADD") def handleNonFiniteData(self): self._addMcaClicked(action="ADD") msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Information) msg.setWindowTitle("Non finite data") text = "Your data contain infinite values or nans.\n" text += "Pixels containing those values will be ignored." msg.setText(text) msg.exec_() return def calculateROIImages(self, index1, index2, imiddle=None, energy=None): #overwrite base method to update the default energy with the one # currently used in the graph activeCurve = self.mcaWidget.getActiveCurve() if activeCurve is None: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Information) msg.setWindowTitle("No active curve selected") text = "Please select the MCA active curve." msg.setText(text) msg.exec_() return x, y, legend, info = activeCurve[:4] return StackBase.StackBase.calculateROIImages(self, index1, index2, imiddle=imiddle, energy=x) def showROIImageList(self, imageList, image_names=None): xScale = self._stack.info.get("xScale", None) yScale = self._stack.info.get("yScale", None) if self.roiBackgroundButton.isChecked(): self.roiWidget.graphWidget.graph.setGraphTitle(image_names[0]+\ " Net") self.roiWidget.setImageData(imageList[0]-imageList[-1], xScale=xScale, yScale=yScale) else: self.roiWidget.graphWidget.graph.setGraphTitle(image_names[0]) self.roiWidget.setImageData(imageList[0], xScale=xScale, yScale=yScale) self._ROIImageList = imageList self._ROIImageNames = image_names self._stackROIImageListUpdated() def addImage(self, image, name, info=None, replace=False, replot=True): self.rgbWidget.addImage(image, name) if self.tab is None: if self.master: self.rgbWidget.show() else: self.tab.setCurrentWidget(self.rgbWidget) def removeImage(self, title): self.rgbWidget.removeImage(title) def replaceImage(self, image, title, info=None, replace=True, replot=True): self.rgbWidget.reset() self.rgbWidget.addImage(image, title) if self.rgbWidget.isHidden(): self.rgbWidget.show() if self.tab is None: self.rgbWidget.show() self.rgbWidget.raise_() else: self.tab.setCurrentWidget(self.rgbWidget) def _addImageClicked(self, image, title): self.addImage(image, title) def _removeImageClicked(self, title): self.rgbWidget.removeImage(title) def _replaceImageClicked(self, image, title): self.replaceImage(image, title) def __getLegend(self): if self._selectionMask is None: legend = "Stack SUM" elif self._selectionMask.sum() == 0: legend = "Stack SUM" else: title = qt.safe_str(self.roiGraphWidget.graph.getGraphTitle()) legend = "Stack " + title + " selection" return legend def __addMcaClicked(self): self._addMcaClicked("ADD") def _addMcaClicked(self, action=None): if action in [None, False]: action = "ADD" if self._stackImageData is None: return if self.normalizeButton.isChecked(): dataObject = self.calculateMcaDataObject(normalize=True) else: dataObject = self.calculateMcaDataObject(normalize=False) legend = self.__getLegend() if self.normalizeButton.isChecked(): if self._selectionMask is None: npixels = self._stackImageData.shape[0] *\ self._stackImageData.shape[1] else: npixels = self._selectionMask.sum() if npixels == 0: npixels = self._stackImageData.shape[0] *\ self._stackImageData.shape[1] legend += "/%d" % npixels return self.sendMcaSelection(dataObject, key = "Selection", legend =legend, action = action) def _removeMcaClicked(self): #remove the mca #dataObject = self.__mcaData0 #send a dummy object dataObject = DataObject.DataObject() legend = self.__getLegend() if self.normalizeButton.isChecked(): legend += "/" curves = self.mcaWidget.getAllCurves(just_legend=True) for curve in curves: if curve.startswith(legend): legend = curve break self.sendMcaSelection(dataObject, legend = legend, action = "REMOVE") def _replaceMcaClicked(self): #replace the mca self.__ROIConnected = False self._addMcaClicked(action="REPLACE") self.__ROIConnected = True def sendMcaSelection(self, mcaObject, key = None, legend = None, action = None): if action is None: action = "ADD" if key is None: key = "SUM" if legend is None: legend = "Stack SUM" if self.normalizeButton.isChecked(): npixels = self._stackImageData.shape[0] *\ self._stackImageData.shape[1] legend += "/%d" % npixels sel = {} sel['SourceName'] = "EDF Stack" sel['Key'] = key sel['legend'] = legend sel['dataobject'] = mcaObject if action == "ADD": self.mcaWidget._addSelection([sel]) elif action == "REMOVE": self.mcaWidget._removeSelection([sel]) elif action == "REPLACE": self.mcaWidget._replaceSelection([sel]) elif action == "GET_CURRENT_SELECTION": return sel if self.tab is None: self.mcaWidget.show() self.mcaWidget.raise_() else: self.tab.setCurrentWidget(self.mcaWidget) def setSelectionMask(self, mask, instance_id=None): self._selectionMask = mask if instance_id == id(self): return if DEBUG: if self._slave is not None: print("MASTER setSelectionMask CALLED") elif self._masterStack is not None: print("SLAVE setSelectionMask CALLED") #inform built in widgets for widget in [self.stackWidget, self.roiWidget]: if instance_id != id(widget): if mask is None: widget._resetSelection(owncall=False) else: widget.setSelectionMask(mask, plot=True) #inform slave if self._slave is not None: #This is a master instance instanceList = [id(self._slave), id(self._slave.stackWidget), id(self._slave.roiWidget)] for key in self._slave.pluginInstanceDict.keys(): instanceList.append(id(self._slave.pluginInstanceDict[key])) if instance_id not in instanceList: #Originated by the master if DEBUG: print("INFORMING SLAVE") self._slave.setSelectionMask(mask, instance_id=id(self)) if self._masterStack is not None: #This is a slave instance instanceList = [id(self.stackWidget), id(self.roiWidget)] for key in self.pluginInstanceDict.keys(): instanceList.append(id(self.pluginInstanceDict[key])) if instance_id in instanceList: #Originated by the slave if DEBUG: print("INFORMING MASTER") self._masterStack.setSelectionMask(mask, instance_id=id(self)) #Inform plugins for key in self.pluginInstanceDict.keys(): if key == "PyMcaPlugins.StackPluginBase": continue #I remove this optimization for the case the plugin #does not update itself the mask #if id(self.pluginInstanceDict[key]) != instance_id: self.pluginInstanceDict[key].selectionMaskUpdated() def getSelectionMask(self): return self._selectionMask def _maskImageWidgetSlot(self, ddict): if ddict['event'] == "selectionMaskChanged": self.setSelectionMask(ddict['current'], instance_id=ddict['id']) return if ddict['event'] == "resetSelection": self.setSelectionMask(None, instance_id=ddict['id']) return if ddict['event'] == "addImageClicked": self._addImageClicked(ddict['image'], ddict['title']) return if ddict['event'] == "replaceImageClicked": self._replaceImageClicked(ddict['image'], ddict['title']) return if ddict['event'] == "removeImageClicked": self._removeImageClicked(ddict['title']) return if ddict['event'] == "hFlipSignal": if ddict['id'] != id(self.stackWidget): self.stackWidget.graph.invertYAxis(ddict['current']) self.stackWidget.graph.replot() if ddict['id'] != id(self.roiWidget): self.roiWidget.graph.invertYAxis(ddict['current']) self.roiWidget.graph.replot() return def _stackGraphSignal(self, ddict): if ddict['event'] in ["mouseMoved", "MouseAt"]: x = round(ddict['y']) if x < 0: x = 0 y = round(ddict['x']) if y < 0: y = 0 if self._stackImageData is None: return limits = self._stackImageData.shape x = min(int(x), limits[0]-1) y = min(int(y), limits[1]-1) z = self._stackImageData[x, y] self.stackGraphWidget.setInfoText(" X = %d Y = %d Z = %.4g" %\ (y, x, z)) def _mcaWidgetSignal(self, ddict): if not self.__ROIConnected: return if ddict['event'] in ["currentROISignal", "ROISignal"]: self.updateROIImages(ddict) def getActiveCurve(self): legend = self.mcaWidget.getActiveCurve(just_legend=True) if legend is None: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Please select an active curve") msg.exec_() return x, y, legend, info = self.mcaWidget.getActiveCurve()[:4] return x, y, legend, info def getGraphXLimits(self): return self.mcaWidget.getGraphXLimits() def getGraphYLimits(self): return self.mcaWidget.getGraphYLimits() def getGraphXLabel(self): return self.mcaWidget.getGraphXLabel() def getGraphYLabel(self): return self.mcaWidget.getGraphYLabel() def closeEvent(self, event): # Inform plugins for key in self.pluginInstanceDict.keys(): self.pluginInstanceDict[key].stackClosed() CloseEventNotifyingWidget.CloseEventNotifyingWidget.closeEvent(self, event) def test(): #create a dummy stack nrows = 100 ncols = 200 nchannels = 1024 a = numpy.ones((nrows, ncols), numpy.float) stackData = numpy.zeros((nrows, ncols, nchannels), numpy.float) for i in range(nchannels): stackData[:, :, i] = a * i stackData[0:10,:,:] = 0 w = QStackWidget() w.setStack(stackData, mcaindex=2) w.show() return w if __name__ == "__main__": sys.excepthook = qt.exceptionHandler import getopt options = '' longoptions = ["fileindex=","old", "filepattern=", "begin=", "end=", "increment=", "nativefiledialogs=", "imagestack=", "image=", "backend="] try: opts, args = getopt.getopt( sys.argv[1:], options, longoptions) except: print(sys.exc_info()[1]) sys.exit(1) fileindex = 0 filepattern=None begin = None end = None imagestack=None increment=None backend=None PyMcaDirs.nativeFileDialogs=True for opt, arg in opts: if opt in '--begin': if "," in arg: begin = [int(x) for x in arg.split(",")] else: begin = [int(arg)] elif opt in '--end': if "," in arg: end = [int(x) for x in arg.split(",")] else: end = int(arg) elif opt in '--increment': if "," in arg: increment = [int(x) for x in arg.split(",")] else: increment = int(arg) elif opt in '--filepattern': filepattern = arg.replace('"','') filepattern = filepattern.replace("'","") elif opt in '--fileindex': fileindex = int(arg) elif opt in ['--imagestack', "--image"]: imagestack = int(arg) elif opt in '--nativefiledialogs': if int(arg): PyMcaDirs.nativeFileDialogs=True else: PyMcaDirs.nativeFileDialogs=False elif opt in '--backend': backend = arg #elif opt in '--old': # import QEDFStackWidget # sys.exit(QEDFStackWidget.runAsMain()) if filepattern is not None: if (begin is None) or (end is None): raise ValueError("A file pattern needs at least a set of begin and end indices") app = qt.QApplication([]) if sys.platform not in ["win32", "darwin"]: # some themes of Ubuntu 16.04 give black tool tips on black background app.setStyleSheet("QToolTip { color: #000000; background-color: #fff0cd; border: 1px solid black; }") if backend is not None: # set the default backend try: from PyMca5.PyMcaGraph.Plot import Plot Plot.defaultBackend = backend except: print("WARNING: Cannot set backend to %s" % backend) widget = QStackWidget() w = StackSelector.StackSelector(widget) if filepattern is not None: #ignore the args even if present stack = w.getStackFromPattern(filepattern, begin, end, increment=increment, imagestack=imagestack) else: stack = w.getStack(args, imagestack=imagestack) if (type(stack) == type([])) or (isinstance(stack, list)): #aifira like, two stacks widget.setStack(stack[0]) if len(stack) > 1: if stack[1] is not None: slave = QStackWidget(master=False, rgbwidget=widget.rgbWidget) slave.setStack(stack[1]) widget.setSlave(slave) stack = None else: widget.setStack(stack) widget.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/PyMcaGLWindow.py0000644000276300001750000002510713136054446021621 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import numpy DEBUG = 0 try: from PyMca5 import Object3D from PyMca5.Object3D import Object3DScene except ImportError: if DEBUG: print("PyMcaGLWindow imports Object3D direcly. Frozen version?") import Object3D from Object3D import Object3DScene class SceneGLWindow(Object3D.Object3DScene.Object3DScene): def _addSelection(self, selectionlist, replot=True): if DEBUG: print("addSelection(self, selectionlist)",selectionlist) if type(selectionlist) == type([]): sellist = selectionlist else: sellist = [selectionlist] for sel in sellist: source = sel['SourceName'] key = sel['Key'] legend = sel['legend'] #expected form sourcename + scan key dataObject = sel['dataobject'] #one-dimensional selections not considered if dataObject.info["selectiontype"] == "1D": continue #there must be something to plot if not hasattr(dataObject, 'y'): continue #there must be an x for a scan selection to reach here if not hasattr(dataObject, 'x'): continue if dataObject.x is None: numberOfXAxes = 0 else: numberOfXAxes = len(dataObject.x) if numberOfXAxes > 1: if DEBUG: print("Mesh plots") else: xdata = dataObject.x[0] #we have to loop for all y values ycounter = -1 for ydata in dataObject.y: ycounter += 1 ylegend = 'y%d' % ycounter if sel['selection'] is not None: if type(sel['selection']) == type({}): if 'y' in sel['selection']: ilabel = sel['selection']['y'][ycounter] ylegend = dataObject.info['LabelNames'][ilabel] object3Dlegend = legend + " " + ylegend ndata = len(ydata) object3D = self.addDataObject(dataObject, legend=object3Dlegend, update_scene=False) self.sceneControl.updateView() self.glWidget.setZoomFactor(self.glWidget.getZoomFactor()) def _removeSelection(self, selectionlist): if DEBUG: print("_removeSelection(self, selectionlist)",selectionlist) if type(selectionlist) == type([]): sellist = selectionlist else: sellist = [selectionlist] for sel in sellist: source = sel['SourceName'] key = sel['Key'] legend = sel['legend'] #expected form sourcename + scan key if 'LabelNames' in sel['selection']: labelNames = sel['selection']['LabelNames'] else: labelNames = sel['selection']['cntlist'] for ycounter in sel['selection']['y']: ylegend = labelNames[ycounter] object3Dlegend = legend + " " + ylegend self.removeObject(object3Dlegend, update_scene=False) self.sceneControl.updateView() self.glWidget.setZoomFactor(self.glWidget.getZoomFactor()) def _replaceSelection(self, selectionlist): if DEBUG: print("_replaceSelection(self, selectionlist)",selectionlist) if type(selectionlist) == type([]): sellist = selectionlist else: sellist = [selectionlist] self.clear(update_scene=False) self._addSelection(selectionlist) def addDataObject(self, dataObject, legend=None, update_scene=True): if legend is None: legend = dataObject.info['legend'] if (dataObject.m is None) or (dataObject.m == []): data = dataObject.y[0] else: #I would have to check for the presence of zeros in monitor data = dataObject.y[0]/dataObject.m[0] if dataObject.x is None: if len(data.shape) == 3: object3D=self.stack(data, legend=legend, update_scene=False) else: object3D=self.mesh(data, legend=legend, update_scene=False) return object3D ndata = 1 for dimension in data.shape: ndata *= dimension ndim = 1 xDimList = [] for dataset in dataObject.x: xdim = 1 for dimension in dataset.shape: xdim *= dimension xDimList.append(xdim) ndim *=xdim if len(dataObject.x) == len(data.shape): #two possibilities, the product is equal to the dimension #or not if ndim == ndata: if len(data.shape) == 3: if DEBUG: print("CASE 1") if (xDimList[0] != data.shape[0]) or\ (xDimList[1] != data.shape[1]) or\ (xDimList[2] != data.shape[2]): text = "Wrong dimensions:" text += " %dx%dx%d != (%d, %d, %d)" % (xDimList[0], xDimList[1], xDimList[2], data.shape[0], data.shape[1], data.shape[2]) raise ValueError(text) object3D = self.stack(data, x=dataObject.x[0], y=dataObject.x[1], z=dataObject.x[2], legend=legend, update_scene=update_scene) elif len(data.shape) == 2: if DEBUG: print("CASE 2") object3D = self.mesh(data, x=dataObject.x[0], y=dataObject.x[1], z=0, #This is 2D #z=data[:], #This is 3D legend=legend, update_scene=update_scene) elif len(data.shape) == 1: if DEBUG: print("CASE 3") object3D = self.mesh(data, x=dataObject.x[0], y=numpy.zeros((1,1), numpy.float32), z=data[:], legend=legend, update_scene=update_scene) return object3D elif (len(data.shape) == 3) and (len(xDimList) == 2): print("WARNING Assuming last dimension") if DEBUG: print("CASE 1.1") if (xDimList[0] != data.shape[0]) or\ (xDimList[1] != data.shape[1]): text = "Wrong dimensions:" text += " %dx%d != (%d, %d, %d)" % (xDimList[0], xDimList[1], data.shape[0], data.shape[1], data.shape[2]) raise ValueError(text) z = numpy.arange(data.shape[2]) object3D = self.stack(data, x=dataObject.x[0], y=dataObject.x[1], z=z, legend=legend, update_scene=update_scene) return object3D #I have to assume all the x are of 1 element or of as many elements as data xyzData = numpy.zeros((ndata, 3), numpy.float32) values = numpy.zeros((ndata, 1), numpy.float32) values[:,0] = data xdataCounter = 0 for xdata in dataObject.x: ndim = 1 for dimension in xdata.shape: ndim *= dimension if ndim == 1: xyzData[:,xdataCounter] = xdata * numpy.ones(ndata) else: xyzData[:,xdataCounter] = xdata xdataCounter += 1 object3D = Object3D.Object3DScene.Object3DMesh.Object3DMesh(legend) #if the number of points is reasonable #I force a surface plot. if ndata < 200000: cfg = object3D.setConfiguration({'common':{'mode':3}}) if DEBUG: print("DEFAULT CASE") object3D.setData(values, xyz=xyzData) self.addObject(object3D, legend, update_scene=update_scene) return object3D PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/ExternalImagesWindow.py0000644000276300001750000004040213136054446023270 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, "QString"): QString = qt.QString else: QString = str from PyMca5.PyMcaGui.plotting.PyMca_Icons import IconDict from PyMca5.PyMcaGui import MaskImageWidget from PyMca5.PyMcaIO import EdfFile EDF = True class ExternalImagesWindow(MaskImageWidget.MaskImageWidget): def __init__(self, *var, **kw): ddict = {} ddict['usetab'] = False ddict.update(kw) ddict['standalonesave'] = False if 'aspect' not in kw: ddict['aspect'] = True if 'dynamic' in kw: del ddict['dynamic'] if 'crop' in kw: del ddict['crop'] if 'depthselection' in kw: del ddict['depthselection'] self._depthSelection = kw.get('depthselection', False) MaskImageWidget.MaskImageWidget.__init__(self, *var, **ddict) self.slider = qt.QSlider(self) self.slider.setOrientation(qt.Qt.Horizontal) self.slider.setMinimum(0) self.slider.setMaximum(0) self.mainLayout.addWidget(self.slider) self.slider.valueChanged[int].connect(self._showImage) self.imageList = None self._imageDict = None self.imageNames = None self._stack = None standalonesave = kw.get("standalonesave", True) if standalonesave: self.graphWidget.saveToolButton.clicked.connect(\ self._saveToolButtonSignal) self._saveMenu = qt.QMenu() self._saveMenu.addAction(QString("Image Data"), self.saveImageList) self._saveMenu.addAction(QString("Standard Graphics"), self.graphWidget._saveIconSignal) self._saveMenu.addAction(QString("Matplotlib") , self._saveMatplotlibImage) dynamic = kw.get("dynamic", False) self._dynamic = dynamic crop = kw.get("crop", True) if crop: self.cropIcon = qt.QIcon(qt.QPixmap(IconDict["crop"])) infotext = "Crop image to the currently zoomed window" cropPosition = 6 #if 'imageicons' in kw: # if not kw['imageicons']: # cropPosition = 6 self.cropButton = self.graphWidget._addToolButton(\ self.cropIcon, self._cropIconChecked, infotext, toggle = False, position = cropPosition) infotext = "Flip image and data, not the scale." self.graphWidget.hFlipToolButton.setToolTip('Flip image') self._flipMenu = qt.QMenu() self._flipMenu.addAction(QString("Flip Image and Vertical Scale"), self.__hFlipIconSignal) self._flipMenu.addAction(QString("Flip Image Left-Right"), self._flipLeftRight) self._flipMenu.addAction(QString("Flip Image Up-Down"), self._flipUpDown) else: self.graphWidget.hFlipToolButton.clicked.connect(\ self.__hFlipIconSignal) def sizeHint(self): return qt.QSize(400, 400) def _cropIconChecked(self): #get current index index = self.slider.value() #current image label = self.imageNames[index] qimage = self._imageDict[label] width = qimage.width() height = qimage.height() xmin, xmax = self.graphWidget.graph.getGraphXLimits() ymin, ymax = self.graphWidget.graph.getGraphYLimits() xmin = int(xmin) xmax = int(xmax) ymin = int(ymin) ymax = int(ymax) dummy = xmin if (xmin > xmax): xmin = xmax xmax = dummy dummy = ymin if (ymin > ymax): ymin = ymax ymax = dummy xmin = max(xmin, 0) xmax = min(xmax, width) ymin = max(ymin, 0) ymax = min(ymax, height) rect = qt.QRect(xmin, ymin, xmax-xmin, ymax-ymin) newImageList = [] for i in range(len(self.imageList)): image = self._imageDict[self.imageNames[i]].copy(rect) newImageList.append(image) #replace current image by the new one self.setQImageList(newImageList, width, height, clearmask=False, data=None, imagenames=self.imageNames*1) ###self._imageDict[label] = self.getQImage() ###self.imageList.append(self.getImageData()) self._showImage(index) def _flipIconChecked(self): if not self.graphWidget.graph.yAutoScale: qt.QMessageBox.information(self, "Open", "Please set Y Axis to AutoScale first") return if not self.graphWidget.graph.xAutoScale: qt.QMessageBox.information(self, "Open", "Please set X Axis to AutoScale first") return if self.imageList is None: return if self._imageDict is None: return if self.imageNames is None: return self._flipMenu.exec_(self.cursor().pos()) def _hFlipIconSignal(self): if self.getQImage() is None: return if self.imageNames is None: #just setImage data used #I use the default flip self.__hFlipIconSignal() return if self.imageList is None: return if self._imageDict is None: return self._flipMenu.exec_(self.cursor().pos()) def __hFlipIconSignal(self): MaskImageWidget.MaskImageWidget._hFlipIconSignal(self) def _flipUpDown(self): for i in range(len(self.imageList)): label = self.imageNames[i] self._imageDict[label] = self._imageDict[label].mirrored(0, 1) self.imageList[i] = numpy.flipud(self.getImageData()) self.showImage(self.slider.value()) def _flipLeftRight(self): for i in range(len(self.imageList)): label = self.imageNames[i] self._imageDict[label] = self._imageDict[label].mirrored(1, 0) self.imageList[i] = numpy.fliplr(self.getImageData()) self.showImage(self.slider.value()) def _showImage(self, index): if len(self.imageList): self.showImage(index, moveslider=False) def showImage(self, index=0, moveslider=True): if self.imageList is None: return if len(self.imageList) == 0: return if self._dynamic: self._dynamicAction(index) elif self._stack: self.setImageData(self.imageList[index]) if self.imageNames is None: self.graphWidget.graph.setGraphTitle("Image %d" % index) else: self.graphWidget.graph.setGraphTitle(self.imageNames[index]) else: qimage = self._imageDict[self.imageNames[index]] self.setQImage(qimage, qimage.width(), qimage.height(), clearmask=False, data=self.imageList[index]) self.graphWidget.graph.setGraphTitle(self.imageNames[index]) if moveslider: self.slider.setValue(index) def _dynamicAction(self, index): #just support edffiles fileName = self.imageList[index] edf = EdfFile.EdfFile(fileName) self.setImageData(edf.GetData(0)) self.graphWidget.graph.setGraphTitle(os.path.basename(fileName)) def setQImageList(self, images, width, height, clearmask = False, data=None, imagenames = None): self._dynamic = False nimages = len(images) if imagenames is None: self.imageNames = [] for i in range(nimages): self.imageNames.append("ExternalImage %02d" % i) else: self.imageNames = imagenames i = 0 self._imageDict = {} self.imageList = [] for label in self.imageNames: self.setQImage(images[i], width, height, clearmask=clearmask, data=data) self._imageDict[label] = self.getQImage() self.imageList.append(self.getImageData()) i += 1 if self.imageList is not None: self.slider.setMaximum(len(self.imageList)-1) self.showImage(0) else: self.slider.setMaximum(0) self.slider.setValue(0) def saveImageList(self, filename=None, imagelist=None, labels=None): if self.imageList is None: return if self._dynamic: #save only one image MaskImageWidget.MaskImageWidget.saveImageList(self) return labels = [] for i in range(len(self.imageList)): labels.append(self.imageNames[i].replace(" ","_")) if len(labels): mask = self.getSelectionMask() if mask is not None: labels.append("Mask") return MaskImageWidget.MaskImageWidget.saveImageList(self, imagelist=self.imageList+[mask], labels=labels) return MaskImageWidget.MaskImageWidget.saveImageList(self, imagelist=self.imageList, labels=labels) def setImageList(self, imagelist, imagenames=None, dynamic=False): if hasattr(imagelist, 'shape'): #should I only accept lists? if len(imagelist.shape) == 3: return self.setStack(imagelist, index=0, imagenames=imagenames) if type(imagelist) in [type([0]), type((0,))]: if not len(imagelist): return if hasattr(imagelist[0],'shape'): #I have a list of images #I can treat it as a stack return self.setStack(imagelist, index=0, imagenames=imagenames) self._stack = False self._dynamic = dynamic self.imageList = imagelist self.imageNames = imagenames if imagelist is not None: if imagenames is None: nImages = len(self.imageList) self.imageNames = [None] * nImages for i in range(nImages): self.imageNames[i] = "Image %02d" % i current = self.slider.value() self.slider.setMaximum(len(self.imageList)-1) if current < len(self.imageList): self.showImage(current) else: self.showImage(0) def setStack(self, stack, index=None, imagenames=None): if index is None: index = 0 if hasattr(stack, "shape"): shape = stack.shape nImages = shape[index] imagelist = [None] * nImages for i in range(nImages): if index == 0: imagelist[i] = stack[i, :, :] imagelist[i].shape = shape[1], shape[2] elif index == 1: imagelist[i] = stack[:, i, :] imagelist[i].shape = shape[0], shape[2] elif index == 2: imagelist[i] = stack[:, :, i] imagelist[i].shape = shape[0], shape[1] else: nImages = len(stack) imagelist = stack self.imageList = imagelist self.imageNames = imagenames self._dynamic = False self._stack = True mask = self.getSelectionMask() if mask is not None: shape = imagelist[0].shape if mask.shape != shape: mask = numpy.zeros(shape, numpy.uint8) self.setSelectionMask(mask, plot=False) current = self.slider.value() self.slider.setMaximum(len(self.imageList)-1) if current < len(self.imageList): self.showImage(current) else: self.showImage(0) def _updateProfileCurve(self, ddict): if not self._depthSelection: return MaskImageWidget.MaskImageWidget._updateProfileCurve(self, ddict) nImages = len(self.imageNames) for i in range(nImages): image=self.imageList[i] overlay = False if i == 0: overlay = MaskImageWidget.OVERLAY_DRAW replace = True if len(self.imageNames) == 1: replot = True else: replot = False elif i == (nImages -1): replot = True replace=False else: replot = False replace= False curve = self._getProfileCurve(ddict, image=image, overlay=overlay) if curve is None: return xdata, ydata, legend, info = curve newLegend = self.imageNames[i]+ " " + legend self._profileSelectionWindow.addCurve(xdata, ydata, legend=newLegend, info=info, replot=replot, replace=replace) def getCurrentIndex(self): return self.slider.value() def test(): app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) if len(sys.argv) > 1: if sys.argv[1][-3:].upper() in ['EDF', 'CCD']: container = ExternalImagesWindow(selection=False, colormap=True, imageicons=False, standalonesave=True) #, #dynamic=True) container.setImageList(sys.argv[1:], dynamic=True) else: container = ExternalImagesWindow() image = qt.QImage(sys.argv[1]) #container.setQImage(image, image.width(),image.height()) container.setQImageList([image], 200, 100) else: container = ExternalImagesWindow() data = numpy.arange(10000) data.shape = 100, 100 container.setImageData(data) container.show() def theSlot(ddict): print(ddict['event']) if not container._dynamic: container.sigMaskImageWidgetSignal.connect(theSlot) app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/QStack.py0000644000276300001750000000762213136054446020365 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy import copy import time from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaIO import EDFStack from PyMca5.PyMcaIO import SpecFileStack DEBUG = 0 class SimpleThread(qt.QThread): def __init__(self, function, *var, **kw): if kw is None:kw={} qt.QThread.__init__(self) self._function = function self._var = var self._kw = kw self._result = None def run(self): if DEBUG: self._result = self._function(*self._var, **self._kw ) else: try: self._result = self._function(*self._var, **self._kw ) except: self._result = ("Exception",) + sys.exc_info() class QSpecFileStack(SpecFileStack.SpecFileStack): def onBegin(self, nfiles): self.bars =qt.QWidget() self.bars.setWindowTitle("Reading progress") self.barsLayout = qt.QGridLayout(self.bars) self.barsLayout.setContentsMargins(2, 2, 2, 2) self.barsLayout.setSpacing(3) self.progressBar = qt.QProgressBar(self.bars) self.progressLabel = qt.QLabel(self.bars) self.progressLabel.setText('Mca Progress:') self.barsLayout.addWidget(self.progressLabel,0,0) self.barsLayout.addWidget(self.progressBar,0,1) self.progressBar.setMaximum(nfiles) self.progressBar.setValue(0) self.bars.show() def onProgress(self,index): self.progressBar.setValue(index) def onEnd(self): self.bars.hide() del self.bars class QStack(EDFStack.EDFStack): def onBegin(self, nfiles): self.bars =qt.QWidget() self.bars.setWindowTitle("Reading progress") self.barsLayout = qt.QGridLayout(self.bars) self.barsLayout.setContentsMargins(2, 2, 2, 2) self.barsLayout.setSpacing(3) self.progressBar = qt.QProgressBar(self.bars) self.progressLabel = qt.QLabel(self.bars) self.progressLabel.setText('File Progress:') self.barsLayout.addWidget(self.progressLabel,0,0) self.barsLayout.addWidget(self.progressBar,0,1) self.progressBar.setMaximum(nfiles) self.progressBar.setValue(0) self.bars.show() def onProgress(self,index): self.progressBar.setValue(index) def onEnd(self): self.bars.hide() del self.bars PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/McaCalibrationControlGUI.py0000644000276300001750000003254413136054446023756 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() if hasattr(qt, "QString"): QString = qt.QString else: QString = qt.safe_str from PyMca5 import PyMcaDirs DEBUG = 0 class McaCalibrationControlGUI(qt.QWidget): sigMcaCalibrationControlGUISignal = qt.pyqtSignal(object) def __init__(self, parent=None, name=""): qt.QWidget.__init__(self, parent) if name is not None: self.setWindowTitle(name) self.lastInputDir = None self.build() self.connections() def build(self): layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) self.calbox = None self.calbut = None calibration = McaCalibrationControlLine(self) self.calbox = calibration.calbox self.calbut = calibration.calbut self.calinfo = McaCalibrationInfoLine(self) self.calmenu = qt.QMenu() self.calmenu.addAction(QString("Edit"), self._copysignal) self.calmenu.addAction(QString("Compute") ,self._computesignal) self.calmenu.addSeparator() self.calmenu.addAction(QString("Load") , self._loadsignal) self.calmenu.addAction(QString("Save") , self._savesignal) layout.addWidget(calibration) layout.addWidget(self.calinfo) def connections(self): #selection changed #self.connect(self.calbox,qt.SIGNAL("activated(const QString &)"), # self._calboxactivated) self.calbox.activated.connect(self._calboxactivated) self.calbut.clicked.connect(self._calbuttonclicked) def _calboxactivated(self, item=None): if DEBUG: item = qt.safe_str(item) print("Calibration box activated %s" % item) comboitem, combotext = self.calbox.getCurrent() self._emitpysignal(box=[comboitem,combotext], boxname='Calibration', event='activated') def _calbuttonclicked(self): if DEBUG: print("Calibration button clicked") self.calmenu.exec_(self.cursor().pos()) def _copysignal(self): comboitem,combotext = self.calbox.getCurrent() self._emitpysignal(button="CalibrationCopy", box=[comboitem,combotext], event='clicked') def _computesignal(self): comboitem,combotext = self.calbox.getCurrent() self._emitpysignal(button="Calibration", box=[comboitem,combotext], event='clicked') def _loadsignal(self): if self.lastInputDir is None: self.lastInputDir = PyMcaDirs.inputDir if self.lastInputDir is not None: if not os.path.exists(self.lastInputDir): self.lastInputDir = None self.lastInputFilter = "Calibration files (*.calib)\n" if sys.platform == "win32": windir = self.lastInputDir if windir is None: windir = os.getcwd() filename= qt.safe_str(qt.QFileDialog.getOpenFileName(self, "Load existing calibration file", windir, self.lastInputFilter)) else: windir = self.lastInputDir if windir is None:windir = os.getcwd() filename = qt.QFileDialog(self) filename.setWindowTitle("Load existing calibration file") filename.setModal(1) if hasattr(qt, "QStringList"): strlist = qt.QStringList() else: strlist = [] tmp = [self.lastInputFilter.replace("\n","")] for filetype in tmp: strlist.append(filetype.replace("(","").replace(")","")) if hasattr(filename, "setFilters"): filename.setFilters(strlist) else: filename.setNameFilters(strlist) filename.setFileMode(qt.QFileDialog.ExistingFile) filename.setDirectory(windir) ret = filename.exec_() if ret: if len(filename.selectedFiles()): filename = qt.safe_str(filename.selectedFiles()[0]) else: return else: return if not len(filename): return if len(filename) < 6: filename = filename + ".calib" elif filename[-6:] != ".calib": filename = filename + ".calib" self.lastInputDir = os.path.dirname(filename) comboitem,combotext = self.calbox.getCurrent() self._emitpysignal(button="CalibrationLoad", box=[comboitem,combotext], line_edit = filename, event='clicked') def _savesignal(self): if self.lastInputDir is None: self.lastInputDir = PyMcaDirs.outputDir if self.lastInputDir is not None: if not os.path.exists(self.lastInputDir): self.lastInputDir = None self.lastInputFilter = "Calibration files (*.calib)\n" if sys.platform == "win32": windir = self.lastInputDir if windir is None: windir = "" filename= qt.safe_str(qt.QFileDialog.getSaveFileName(self, "Save a new calibration file", windir, self.lastInputFilter)) else: windir = self.lastInputDir if windir is None:windir = os.getcwd() filename = qt.QFileDialog(self) filename.setWindowTitle("Save a new calibration file") filename.setModal(1) if hasattr(qt, "QStringList"): strlist = qt.QStringList() else: strlist = [] tmp = [self.lastInputFilter.replace("\n","")] for filetype in tmp: strlist.append(filetype.replace("(","").replace(")","")) if hasattr(filename, "setFilters"): filename.setFilters(strlist) else: filename.setNameFilters(strlist) filename.setFileMode(qt.QFileDialog.AnyFile) filename.setDirectory(windir) ret = filename.exec_() if ret: if len(filename.selectedFiles()): filename = qt.safe_str(filename.selectedFiles()[0]) else: return else: return if not len(filename): return if len(filename) < 6: filename = filename + ".calib" elif filename[-6:] != ".calib": filename = filename + ".calib" self.lastInputDir = os.path.dirname(filename) PyMcaDirs.outputDir = os.path.dirname(filename) comboitem,combotext = self.calbox.getCurrent() self._emitpysignal(button="CalibrationSave", box=[comboitem,combotext], line_edit = filename, event='clicked') def _emitpysignal(self,button=None, box=None, boxname=None, checkbox=None, line_edit=None, event=None): if DEBUG: print("_emitpysignal called ",button,box) data={} data['button'] = button data['box'] = box data['checkbox'] = checkbox data['line_edit'] = line_edit data['event'] = event data['boxname'] = boxname self.sigMcaCalibrationControlGUISignal.emit(data) class McaCalibrationControlLine(qt.QWidget): def __init__(self, parent=None, name=None, calname="", caldict = None): if caldict is None: caldict = {} qt.QWidget.__init__(self, parent) if name is not None: self.setWindowTitle(name) self.l = qt.QHBoxLayout(self) self.l.setContentsMargins(0, 0, 0, 0) self.l.setSpacing(0) self.build() def build(self): widget = self callabel = qt.QLabel(widget) callabel.setText(str("%s" % 'Calibration')) self.calbox = SimpleComboBox(widget, options=['None', 'Original (from Source)', 'Internal (from Source OR PyMca)']) self.calbox.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Expanding, qt.QSizePolicy.Fixed)) self.calbut = qt.QPushButton(widget) self.calbut.setText('Calibrate') self.calbut.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) self.l.addWidget(callabel) self.l.addWidget(self.calbox) self.l.addWidget(self.calbut) class McaCalibrationInfoLine(qt.QWidget): def __init__(self, parent=None, name=None, calname="", caldict = None): if caldict is None: caldict = {} qt.QWidget.__init__(self, parent) if name is not None:self.setWindowTitle(name) self.caldict=caldict if calname not in self.caldict.keys(): self.caldict[calname] = {} self.caldict[calname]['order'] = 1 self.caldict[calname]['A'] = 0.0 self.caldict[calname]['B'] = 1.0 self.caldict[calname]['C'] = 0.0 self.currentcal = calname self.build() self.setParameters(self.caldict[calname]) def build(self): layout= qt.QHBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) parw = self self.lab= qt.QLabel("Active Curve Uses", parw) layout.addWidget(self.lab) lab= qt.QLabel("A:", parw) layout.addWidget(lab) self.AText= qt.QLineEdit(parw) self.AText.setReadOnly(1) layout.addWidget(self.AText) lab= qt.QLabel("B:", parw) layout.addWidget(lab) self.BText= qt.QLineEdit(parw) self.BText.setReadOnly(1) layout.addWidget(self.BText) lab= qt.QLabel("C:", parw) layout.addWidget(lab) self.CText= qt.QLineEdit(parw) self.CText.setReadOnly(1) layout.addWidget(self.CText) def setParameters(self, pars, name = None): if name is not None: self.currentcal = name if 'order' in pars: order = pars['order'] elif pars["C"] != 0.0: order = 2 else: order = 1 self.AText.setText("%.8g" % pars["A"]) self.BText.setText("%.8g" % pars["B"]) self.CText.setText("%.8g" % pars["C"]) """ if pars['order'] > 1: self.orderbox.setCurrentItem(1) self.CText.setReadOnly(0) else: self.orderbox.setCurrentItem(0) self.CText.setReadOnly(1) """ self.caldict[self.currentcal]["A"] = pars["A"] self.caldict[self.currentcal]["B"] = pars["B"] self.caldict[self.currentcal]["C"] = pars["C"] self.caldict[self.currentcal]["order"] = order class SimpleComboBox(qt.QComboBox): def __init__(self, parent=None, name=None, options=['1','2','3']): qt.QComboBox.__init__(self,parent) self.setOptions(options) def setOptions(self,options=['1','2','3']): self.clear() for item in options: self.addItem(item) def getCurrent(self): return self.currentIndex(), qt.safe_str(self.currentText()) if __name__ == '__main__': app = qt.QApplication(sys.argv) demo = McaCalibrationControlGUI() demo.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/RGBCorrelatorWidget.py0000644000276300001750000016157713136054446023024 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy import traceback from . import RGBCorrelatorSlider from . import RGBCorrelatorTable from PyMca5.PyMcaGui.pymca import RGBImageCalculator from PyMca5 import spslut from PyMca5.PyMcaGui import IconDict from PyMca5.PyMcaIO import ArraySave from PyMca5 import PyMcaDirs from PyMca5.PyMcaCore import EdfFileDataSource from PyMca5.PyMcaGui.pymca import ExternalImagesWindow from PyMca5.PyMcaIO import TiffIO from PyMca5.PyMcaGui.io import PyMcaFileDialogs from PyMca5.PyMcaGui import ScatterPlotCorrelatorWidget DataReader = EdfFileDataSource.EdfFileDataSource USE_STRING = False from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, "QString"): QString = qt.QString QStringList = qt.QStringList else: QString = str QStringList = list QTVERSION = qt.qVersion() try: from PyMca5.PyMcaGui import NNMADialog NNMA = NNMADialog.NNMA from PyMca5.PyMcaGui import PCADialog PCA = PCADialog.PCA except: NNMA = False PCA = False DEBUG = 0 class RGBCorrelatorWidget(qt.QWidget): sigRGBCorrelatorWidgetSignal = qt.pyqtSignal(object) def __init__(self, parent = None, bgrx = False, replace = False): qt.QWidget.__init__(self, parent) self.replaceOption = replace self.setWindowTitle("RGBCorrelatorWidget") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(4) self.labelWidget = qt.QWidget(self) self.labelWidget.mainLayout = qt.QGridLayout(self.labelWidget) self.labelWidget.mainLayout.setContentsMargins(0, 0, 0, 0) self.labelWidget.mainLayout.setSpacing(0) alignment = qt.Qt.AlignVCenter | qt.Qt.AlignCenter self.toolBar = qt.QWidget(self) #hbox = qt.QWidget(self.labelWidget) hbox = self.toolBar hbox.mainLayout = qt.QHBoxLayout(hbox) hbox.mainLayout.setContentsMargins(0, 0, 0, 0) hbox.mainLayout.setSpacing(0) self.loadButton = qt.QToolButton(hbox) self.loadButton.setIcon(qt.QIcon(qt.QPixmap(IconDict["fileopen"]))) self.loadButton.setToolTip("Load new images of the same size") self.saveButton = qt.QToolButton(hbox) self.saveButton.setIcon(qt.QIcon(qt.QPixmap(IconDict["filesave"]))) self.saveButton.setToolTip("Save image data to file") self._saveFilter = None self.removeButton = qt.QToolButton(hbox) self.removeButton.setIcon(qt.QIcon(qt.QPixmap(IconDict["remove"]))) self.removeButton.setToolTip("Remove the selected images") self.toggleSlidersButton = qt.QToolButton(hbox) self._slidersOffIcon = qt.QIcon(qt.QPixmap(IconDict["slidersoff"])) self._slidersOnIcon = qt.QIcon(qt.QPixmap(IconDict["sliderson"])) self.toggleSlidersButton.setIcon(self._slidersOffIcon) self.toggleSlidersButton.setToolTip("Toggle sliders show On/Off") self.calculationDialog = None self.calculationButton = qt.QToolButton(hbox) self.calculationButton.setIcon(qt.QIcon(qt.QPixmap(IconDict["sigma"]))) self.calculationButton.setToolTip("Operate with the images") self.profileImageListWidget = None self.profileButton = qt.QToolButton(hbox) self.profileButton.setIcon(qt.QIcon(qt.QPixmap(IconDict["diagonal"]))) self.profileButton.setToolTip("Show selected images profile") #label1 = MyQLabel(self.labelWidget, color = qt.Qt.black) label1 = MyQLabel(self.labelWidget, color = qt.Qt.black) label1.setAlignment(alignment) label1.setText("Image Size") self.__sizeLabel = MyQLabel(self.labelWidget, bold = True, color = qt.Qt.red) self.__sizeLabel.setAlignment(alignment) self.__sizeLabel.setText("No image set") #self.__rowLineEdit = qt.QLineEdit(self.labelWidget) #self.__columnLineEdit = qt.QLineEdit(self.labelWidget) self.__imageResizeButton = qt.QPushButton(self.labelWidget) self.__imageResizeButton.setText("Reshape") hbox.mainLayout.addWidget(self.loadButton) hbox.mainLayout.addWidget(self.saveButton) hbox.mainLayout.addWidget(self.removeButton) hbox.mainLayout.addWidget(self.toggleSlidersButton) hbox.mainLayout.addWidget(self.calculationButton) hbox.mainLayout.addWidget(self.profileButton) hbox.mainLayout.addWidget(qt.HorizontalSpacer(self.toolBar)) #hbox.mainLayout.addWidget(label1) self.labelWidget.mainLayout.addWidget(label1, 0, 0) self.labelWidget.mainLayout.addWidget(self.__sizeLabel, 0, 1) #self.labelWidget.mainLayout.addWidget(self.__rowLineEdit, 1, 0) #self.labelWidget.mainLayout.addWidget(self.__columnLineEdit, 1, 1) self.labelWidget.mainLayout.addWidget(self.__imageResizeButton, 0, 2) self.colormapType = 0 self.buttonGroup = qt.QButtonGroup() g1 = qt.QPushButton(self.labelWidget) g1.setText("Linear") g2 = qt.QPushButton(self.labelWidget) g2.setText("Logarithmic") g3 = qt.QPushButton(self.labelWidget) g3.setText("Gamma") g1.setCheckable(True) g2.setCheckable(True) g3.setCheckable(True) self.buttonGroup.addButton(g1, 0) self.buttonGroup.addButton(g2, 1) self.buttonGroup.addButton(g3, 2) self.buttonGroup.setExclusive(True) self.buttonGroup.button(self.colormapType).setChecked(True) self.labelWidget.mainLayout.addWidget(g1, 1, 0) self.labelWidget.mainLayout.addWidget(g2, 1, 1) self.labelWidget.mainLayout.addWidget(g3, 1, 2) self.buttonGroup.setExclusive(True) self.sliderWidget = RGBCorrelatorSlider.RGBCorrelatorSlider(self, autoscalelimits=[5.0, 80.0]) self.tableWidget = RGBCorrelatorTable.RGBCorrelatorTable(self) self.mainLayout.addWidget(self.toolBar) self.mainLayout.addWidget(self.labelWidget) self.mainLayout.addWidget(self.sliderWidget) self.mainLayout.addWidget(self.tableWidget) if bgrx: self.bgrx = "BGRX" else: self.bgrx = "RGBX" self._imageList = [] self._imageDict = {} self.__imageLength = None self.__redLabel = None self.__greenLabel = None self.__blueLabel = None self.__redImageData = None self.__greenImageData = None self.__blueImageData = None self.__redMin = 0.0 self.__redMax = 100.0 self.__greenMin = 0.0 self.__greenMax = 100.0 self.__blueMin = 0.0 self.__blueMax = 0.0 self.__redImage = None self.__greenImage = None self.__blueImage = None self.outputDir = None self.loadButton.clicked.connect(self._addFileList) self.saveButton.clicked.connect(self.saveButtonClicked) self._saveButtonMenu = qt.QMenu() self._saveButtonMenu.addAction(QString("Save all"), self.saveImageList) self._saveButtonMenu.addAction(QString("Save selected"), self.saveSelectedImages) self.removeButton.clicked.connect(self.removeButtonClicked) self.toggleSlidersButton.clicked.connect(self.toggleSliders) self.calculationButton.clicked.connect(self._showCalculationDialog) self.calculationButton.clicked.connect(self._showCalculationDialog) self.profileButton.clicked.connect(self.profileSelectedImages) self._calculationMenu = None self.scatterPlotWidget = None self.pcaDialog = None self.nnmaDialog = None self.__imageResizeButton.clicked.connect(self._imageResizeSlot) self.sliderWidget.sigRGBCorrelatorSliderSignal.connect(self._sliderSlot) self.tableWidget.sigRGBCorrelatorTableSignal.connect(self._tableSlot) self.buttonGroup.buttonClicked[int].connect(self._colormapTypeChange) def _showCalculationDialog(self): if (not NNMA) and (not PCA): return self.showCalculationDialog() if self._calculationMenu is None: self._calculationMenu = qt.QMenu() self._calculationMenu.addAction(QString("Image Calculator"), self.showCalculationDialog) self._calculationMenu.addAction(QString("Scatter Plot"), self.showScatterPlotDialog) if PCA: if PCADialog.MDP: self._calculationMenu.addAction(QString("PCA/ICA Analysis"), self.showPCADialog) else: self._calculationMenu.addAction(QString("PCA Analysis"), self.showPCADialog) if NNMA: self._calculationMenu.addAction(QString("NNMA Analysis"), self.showNNMADialog) self._calculationMenu.exec_(self.cursor().pos()) def toggleSliders(self): if self.sliderWidget.isHidden(): self.sliderWidget.show() self.toggleSlidersButton.setIcon(self._slidersOffIcon) else: self.sliderWidget.hide() self.toggleSlidersButton.setIcon(self._slidersOnIcon) def _sliderSlot(self, ddict): if DEBUG: print("RGBCorrelatorWidget._sliderSlot()") if self.__imageLength is None: return tableDict = self.tableWidget.getElementSelection() if ddict['event'] == 'redChanged': self.__redMin = ddict['min'] self.__redMax = ddict['max'] if len(tableDict['r']): self.__recolor(['r']) elif ddict['event'] == 'greenChanged': self.__greenMin = ddict['min'] self.__greenMax = ddict['max'] if len(tableDict['g']): self.__recolor(['g']) elif ddict['event'] == 'blueChanged': self.__blueMin = ddict['min'] self.__blueMax = ddict['max'] if len(tableDict['b']): self.__recolor(['b']) elif ddict['event'] == 'allChanged': self.__redMin = ddict['red'][0] self.__redMax = ddict['red'][1] self.__greenMin = ddict['green'][0] self.__greenMax = ddict['green'][1] self.__blueMin = ddict['blue'][0] self.__blueMax = ddict['blue'][1] if not len(tableDict['r']): if not len(tableDict['g']): if not len(tableDict['b']): return self.__recolor(['r', 'g', 'b']) def _tableSlot(self, ddict): if DEBUG: print("RGBCorrelatorWidget._tableSlot()") if self.__imageLength is None: return if ddict['r'] == []:ddict['r'] = None if ddict['g'] == []:ddict['g'] = None if ddict['b'] == []:ddict['b'] = None if ddict['r'] is None: self.__redImageData = numpy.zeros(self.__imageShape).astype(numpy.float) self.__redLabel = None else: self.__redLabel = ddict['elementlist'][ddict['r'][0]] self.__redImageData = self._imageDict[self.__redLabel]['image'] if ddict['g'] is None: self.__greenImageData = numpy.zeros(self.__imageShape).astype(numpy.float) self.__greenLabel = None else: self.__greenLabel = ddict['elementlist'][ddict['g'][0]] self.__greenImageData = self._imageDict[self.__greenLabel]['image'] if ddict['b'] is None: self.__blueImageData = numpy.zeros(self.__imageShape).astype(numpy.float) self.__blueLabel = None else: self.__blueLabel = ddict['elementlist'][ddict['b'][0]] self.__blueImageData = self._imageDict[self.__blueLabel]['image'] self.__recolor(['r', 'g', 'b']) def __recolor(self, color = None): if color is None: colorlist = ['r', 'g', 'b'] elif type(color) == type(""): colorlist = [color] else: colorlist = color * 1 ddict = {} ddict['event'] = 'updated' if 'r' in colorlist: #get slider label = self.__redLabel if label is None: valmin = 0.0 valmax = 1.0 else: valmin = self._imageDict[label]['min'] valmax = self._imageDict[label]['max'] delta = 0.01 * (valmax - valmin) valmin = valmin + delta * self.__redMin valmax = valmin + delta * self.__redMax if USE_STRING: red, size, minmax = self.getColorImage(self.__redImageData, spslut.RED, valmin, valmax, 0) self.__redImage = numpy.array(red).astype(numpy.uint8) ddict['red'] = red else: red, size, minmax = self.getColorImage(self.__redImageData, spslut.RED, valmin, valmax, 1) self.__redImage = red ddict['red'] = red.tostring() ddict['size']= size if 'g' in colorlist: #get slider label = self.__greenLabel if label is None: valmin = 0.0 valmax = 1.0 else: valmin = self._imageDict[label]['min'] valmax = self._imageDict[label]['max'] delta = 0.01 * (valmax - valmin) valmin = valmin + delta * self.__greenMin valmax = valmin + delta * self.__greenMax if USE_STRING: green, size, minmax = self.getColorImage(self.__greenImageData, spslut.GREEN, valmin, valmax) self.__greenImage = numpy.array(green).astype(numpy.uint8) ddict['green'] = green else: green, size, minmax = self.getColorImage(self.__greenImageData, spslut.GREEN, valmin, valmax,1) self.__greenImage = green ddict['green'] = green.tostring() ddict['size']= size if 'b' in colorlist: #get slider label = self.__blueLabel if label is None: valmin = 0.0 valmax = 1.0 else: valmin = self._imageDict[label]['min'] valmax = self._imageDict[label]['max'] #if valmax == valmin:valmax = valmin + 1 delta = 0.01 * (valmax - valmin) valmin = valmin + delta * self.__blueMin valmax = valmin + delta * self.__blueMax if USE_STRING: blue, size, minmax = self.getColorImage(self.__blueImageData, spslut.BLUE, valmin, valmax) self.__blueImage = numpy.array(blue).astype(numpy.uint8) ddict['blue'] = blue else: blue, size, minmax = self.getColorImage(self.__blueImageData, spslut.BLUE, valmin, valmax,1) self.__blueImage = blue ddict['blue'] = blue.tostring() ddict['size'] = size image = self.__redImage + self.__greenImage + self.__blueImage ddict['image'] = image self.sigRGBCorrelatorWidgetSignal.emit(ddict) def _colormapTypeChange(self, val): self.colormapType = val self.__recolor() def getColorImage(self, image, colormap, datamin=None, datamax=None, arrayflag = 0): COLORMAPLIST = [spslut.GREYSCALE, spslut.REVERSEGREY, spslut.TEMP, spslut.RED, spslut.GREEN, spslut.BLUE, spslut.MANY] if colormap not in COLORMAPLIST: raise ValueError("Unknown color scheme %s" % colormap) if (datamin is None) or (datamax is None): #spslut already calculates min and max #tmp = numpy.ravel(image) (image_buffer, size, minmax)= spslut.transform(image, (1,0), (self.colormapType,3.0), self.bgrx, colormap, 1, (0,1), (0,255),arrayflag) #(min(tmp),max(tmp))) else: (image_buffer, size, minmax)= spslut.transform(image, (1,0), (self.colormapType,3.0), self.bgrx, colormap, 0, (datamin, datamax), (0,255), arrayflag) return image_buffer, size, minmax def addImage(self, image0, label = None): image = numpy.array(image0).astype(numpy.float) if label is None: label = "Unnamed 00" i = 0 while(label in self._imageList): i += 1 label = "Unnamed %02d" % i if not len(image): return firstTime = False if self.__imageLength is None: if not len(image.shape): return self.__imageLength = 1 for value in image.shape: self.__imageLength *= value if len(image.shape) == 1: image = numpy.resize(image, (image.shape[0], 1)) self.__imageShape = image.shape self._updateSizeLabel() firstTime = True if image.shape != self.__imageShape: length = 1 for value in image.shape: length *= value if length == self.__imageLength: image = numpy.resize(image, (self.__imageShape[0], self.__imageShape[1])) else: raise ValueError("Image cannot be reshaped to %d x %d" % \ (self.__imageShape[0], self.__imageShape[1])) if label not in self._imageList: self._imageList.append(label) self._imageDict[label] = {} self._imageDict[label]['image'] = image tmp = numpy.ravel(image) self._imageDict[label]['min'] = min(tmp) self._imageDict[label]['max'] = max(tmp) self.tableWidget.build(self._imageList) i = 0 for label in self._imageList: mintext = "%g" % self._imageDict[label]['min'] maxtext = "%g" % self._imageDict[label]['max'] item = self.tableWidget.item(i, 4) if item is None: item = qt.QTableWidgetItem(mintext, qt.QTableWidgetItem.Type) item.setTextAlignment(qt.Qt.AlignHCenter | qt.Qt.AlignVCenter) item.setFlags(qt.Qt.ItemIsEnabled) self.tableWidget.setItem(i, 4, item) else: item.setText(mintext) item = self.tableWidget.item(i, 5) if item is None: item = qt.QTableWidgetItem(maxtext, qt.QTableWidgetItem.Type) item.setTextAlignment(qt.Qt.AlignHCenter | qt.Qt.AlignVCenter) item.setFlags(qt.Qt.ItemIsEnabled) self.tableWidget.setItem(i, 5, item) else: item.setText(maxtext) i += 1 if firstTime: self.tableWidget.setElementSelection({'r':[0]}) #, 'g':[0],'b':[0]}) self.sliderWidget.autoScaleFromAToB() #self.__recolor() #self.tableWidget._update() if self.calculationDialog is not None: self.calculationDialog.imageList = self._imageList self.calculationDialog.imageDict = self._imageDict def removeButtonClicked(self): itemList = self.tableWidget.selectedItems() labelList = [] nImages = len(self._imageList) for item in itemList: row = item.row() if row < nImages: labelList.append(self._imageList[row]) for label in labelList: self.removeImage(label) def removeImage(self, label): if label not in self._imageList:return self._imageDict[label] = {} del self._imageDict[label] del self._imageList[self._imageList.index(label)] if self.__redLabel == label: self.__redLabel = None if self.__greenLabel == label: self.__greenLabel = None if self.__blueLabel == label:self.__blueLabel = None self.tableWidget.build(self._imageList) self.tableWidget._update() if self.calculationDialog is not None: self.calculationDialog.imageList = self._imageList self.calculationDialog.imageDict = self._imageDict def removeImageSlot(self, ddict): if type(ddict) == type({}): self.removeImage(ddict['label']) else: self.removeImage(ddict) def replaceImageSlot(self, ddict): self.reset() self.addImageSlot(ddict) def _imageResizeSlot(self): if self.__imageLength is None: return dialog = ImageShapeDialog(self, shape = self.__imageShape) dialog.setModal(True) ret = dialog.exec_() if ret: shape = dialog.getImageShape() dialog.close() del dialog try: if (shape[0]*shape[1]) <= 0: self.reset() else: self.setImageShape(shape) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error reshaping: %s" % sys.exc_info()[1]) msg.exec_() def setImageShape(self, shape): if self.__imageLength is None: return length = 1 for value in shape: length *= value if length != self.__imageLength: raise ValueError("New length %d different of old length %d" % \ (length, self.__imageLength)) self.__imageShape = shape self._updateSizeLabel() for key in self._imageDict.keys(): self._imageDict[key]['image'].shape = shape self.tableWidget._update() def transposeImages(self): if self.__imageLength is None: return shape=[self.__imageShape[0], self.__imageShape[1]] shape.reverse() length = 1 for value in shape: length *= value if length != self.__imageLength: raise ValueError("New length %d different of old length %d" % \ (length, self.__imageLength)) self.__imageShape = (shape[0], shape[1]) self._updateSizeLabel() for key in self._imageDict.keys(): self._imageDict[key]['image'] = self._imageDict[key]['image'].T self.tableWidget._update() def _updateSizeLabel(self): if self.__imageLength is None: self.__sizeLabel.setText("No image set") return text = "" n = len(self.__imageShape) for i in range(n): value = self.__imageShape[i] if i == (n-1): text += " %d" % value else: text += " %d x" % value self.__sizeLabel.setText(text) def reset(self): #ask the possible graph client to delete the image self._tableSlot({'r':[],'g':[],'b':[]}) self._imageList = [] self._imageDict = {} self.__imageLength = None self.__imageShape = None self.__redLabel = None self.__greenLabel = None self.__blueLabel = None self.__redImageData = None self.__greenImageData = None self.__blueImageData = None self.__redMin = 0.0 self.__redMax = 100.0 self.__greenMin = 0.0 self.__greenMax = 100.0 self.__blueMin = 0.0 self.__blueMax = 0.0 self.__redImage = None self.__greenImage = None self.__blueImage = None self._updateSizeLabel() self.tableWidget.setRowCount(0) def update(self): self.__recolor() def getOutputFileNameAndFilter(self): initdir = PyMcaDirs.outputDir if self.outputDir is not None: if os.path.exists(self.outputDir): initdir = self.outputDir formatlist = ["ASCII Files *.dat", "EDF Files *.edf", "EDF(Float32) Files *.edf", "Single TIFF(Float32 Mono) Files *.tif", "Single TIFF(Mono) Files *.tif", "Several TIFF(Float32 Mono) Files *.tif", "Several TIFF(Mono) Files *.tif", 'CSV(, separated) Files *.csv', 'CSV(; separated) Files *.csv', 'CSV(tab separated) Files *.csv'] if self._saveFilter is None: self._saveFilter =formatlist[0] filelist, filterused = PyMcaFileDialogs.getFileList(parent=self, filetypelist=formatlist, message="Get output filename", currentdir=initdir, mode="SAVE", getfilter=True, single=True, currentfilter=self._saveFilter, native=False) self._saveFilter = "%s" % filterused if len(filelist): return filelist[0], filterused else: return "", filterused return filelist def getOutputFileName(self): initdir = PyMcaDirs.outputDir if self.outputDir is not None: if os.path.exists(self.outputDir): initdir = self.outputDir filedialog = qt.QFileDialog(self) filedialog.setFileMode(filedialog.AnyFile) filedialog.setAcceptMode(qt.QFileDialog.AcceptSave) filedialog.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict["gioconda16"]))) formatlist = ["ASCII Files *.dat", "EDF Files *.edf", "EDF(Float32) Files *.edf", "TIFF(Float32 Mono) Files *.tif", "TIFF(Mono) Files *.tif", 'CSV(, separated) Files *.csv', 'CSV(; separated) Files *.csv', 'CSV(tab separated) Files *.csv'] strlist = QStringList() for f in formatlist: strlist.append(f) if self._saveFilter is None: self._saveFilter =formatlist[0] if hasattr(filedialog, "setFilters"): filedialog.setFilters(strlist) filedialog.selectFilter(self._saveFilter) else: filedialog.setNameFilters(strlist) filedialog.selectNameFilter(self._saveFilter) filedialog.setDirectory(initdir) ret = filedialog.exec_() if not ret: return "" filename = filedialog.selectedFiles()[0] if len(filename): filename = "%s" % filename self.outputDir = os.path.dirname(filename) if hasattr(filedialog, "selectedFilter"): self._saveFilter = "%s" % filedialog.selectedFilter() else: self._saveFilter = "%s" % filedialog.selectedNameFilter() filterused = "."+self._saveFilter[-3:] PyMcaDirs.outputDir = os.path.dirname(filename) if len(filename) < 4: filename = filename+ filterused elif filename[-4:] != filterused : if filterused in ['.tif'] and filename[-4:] == 'tiff': #do not append .tif to the file name pass else: filename = filename+ filterused else: filename = "" return filename def getInputFileName(self, getfilter=False): initdir = PyMcaDirs.inputDir filedialog = qt.QFileDialog(self) filedialog.setFileMode(filedialog.ExistingFiles) filedialog.setAcceptMode(qt.QFileDialog.AcceptOpen) filedialog.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict["gioconda16"]))) formatlist = ["ASCII Files *dat", "EDF Files *edf", "EDF Files *ccd", "CSV Files *csv", "TIFF Files *tiff *tif", "TextImage Files *txt", "All Files *"] strlist = QStringList() for f in formatlist: strlist.append(f) if hasattr(filedialog, "setFilters"): filedialog.setFilters(strlist) else: filedialog.setNameFilters(strlist) filedialog.setDirectory(initdir) ret = filedialog.exec_() if not ret: if getfilter: return [""], None else: return [""] filename = filedialog.selectedFiles() filterused = None if len(filename): filename = ["%s" % fname for fname in filename] self.outputDir = os.path.dirname(filename[0]) PyMcaDirs.inputDir = os.path.dirname(filename[0]) if getfilter: if hasattr(filedialog, "selectedFilter"): filterused = "%s" % filedialog.selectedFilter() else: filterused = "%s" % filedialog.selectedNameFilter() else: filename = [""] if getfilter: return filename, filterused else: return filename def _addFileList(self): self.addFileList() def addFileList(self, filelist = None, filterused=""): if filelist is None: filelist, filterused = self.getInputFileName(getfilter=True) if filterused is None: filterused = "" if not len(filelist[0]): return self.outputDir = os.path.dirname(filelist[0]) try: for fname in filelist: if fname.lower().split(".")[-1] in ["jpg","jpeg", "tif","tiff", "png"]: if fname.lower().split(".")[-1] in ["tif", "tiff"]: #try the built in support try: tif = TiffIO.TiffIO(fname) nImages = tif.getNumberOfImages() if nImages > 0: for nImage in range(nImages): info = tif.getInfo(nImage)['info'] imgData = tif.getImage(nImage) title = "%04d/%d" % (nImage+1, nImages) if 'Title' in info: title = info.get('Title') elif nImages > 1: title = "%04d/%d " % (nImage+1, nImages) title += os.path.basename(fname) else: title = os.path.basename(fname) if len(imgData.shape) == 3: #color image colorIndex = 0 for component in ['R', 'G', 'B']: self.addImage(imgData[:,:,colorIndex].astype(numpy.float), title + '_' + component) colorIndex += 1 data = imgData[:,:,0] * 0.114 +\ imgData[:,:,1] * 0.587 +\ imgData[:,:,2] * 0.299 self.addImage(data, title) else: self.addImage(imgData, title) continue except: if DEBUG: print("Built-in tif support unsuccessful") pass #try a pure image format from PyQt qimage = qt.QImage(fname) if qimage.isNull(): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Cannot read file %s as an image" % fname) msg.exec_() return #convert to black and white height = qimage.height() width = qimage.width() if qimage.format() == qt.QImage.Format_Indexed8: pixmap0 = numpy.fromstring(qimage.bits().asstring(width * height), dtype = numpy.uint8) pixmap = numpy.zeros((height * width, 4), numpy.uint8) pixmap[:,0] = pixmap0[:] pixmap[:,1] = pixmap0[:] pixmap[:,2] = pixmap0[:] pixmap[:,3] = 255 pixmap.shape = height, width, 4 else: image = qimage.convertToFormat(qt.QImage.Format_ARGB32) pixmap = numpy.fromstring(qimage.bits().asstring(width * height * 4), dtype = numpy.uint8) pixmap.shape = height, width, -1 data = pixmap[:,:,0] * 0.114 +\ pixmap[:,:,1] * 0.587 +\ pixmap[:,:,2] * 0.299 self.addImage(data, os.path.basename(fname)) elif self._isEdf(fname): source = DataReader(fname) for key in source.getSourceInfo()['KeyList']: dataObject = source.getDataObject(key) title = dataObject.info.get("Title", key) self.addImage(dataObject.data, os.path.basename(fname)+" "+title) elif filterused.upper().startswith("TEXTIMAGE"): data = numpy.loadtxt(fname) self.addImage(data, os.path.basename(fname)) else: if len(fname) < 5: self.addBatchDatFile(fname, csv=False) elif fname[-4:].lower() == ".csv": self.addBatchDatFile(fname, csv=True) else: self.addBatchDatFile(fname, csv=False) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error adding file: %s" % sys.exc_info()[1]) msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() if DEBUG: raise def addBatchDatFile(self, filename, ignoresigma=None, csv=False): self.outputDir = os.path.dirname(filename) if 1 or csv: if 0: #This works but is potentially slow f = open("filename") lines = f.readlines() f.close() for i in range(len(lines)): lines[i] = lines[i].replace('"','') lines[i] = lines[i].replace(","," ") lines[i] = lines[i].replace(";"," ") labels = lines[0].replace("\n","").split(" ") else: if sys.platform == "win32": f = open(filename, "rb") else: f = open(filename, "r") lines =f.read() f.close() if sys.version < '3.0': pass else: lines = lines.decode() lines = lines.replace("\r","\n") lines = lines.replace("\n\n","\n") lines = lines.replace(","," ") lines = lines.replace("\t"," ") lines = lines.replace(";"," ") lines = lines.replace('"','') lines = lines.split("\n") labels = lines[0].replace("\n","").split(" ") else: # This does not work when opening under linux # .dat files generated under windows (\r problem) f = open(filename) lines = f.readlines() f.close() labels = lines[0].replace("\n","").split(" ") i = 1 while (not len( lines[-i].replace("\n",""))): i += 1 nlabels = len(labels) nrows = len(lines) - i if ignoresigma is None: iterationList = [2] if len(labels) > 4: for i in range(3, len(labels)): if len(labels[i]) <= 5: iterationList.append(i) elif labels[i] == ("s("+labels[i-1]+")"): continue else: iterationList.append(i) else: iterationList = range(2, nlabels) elif ignoresigma: iterationList = [2] if len(labels) > 4: for i in range(3, len(labels)): if len(labels[i]) <= 5: iterationList.append(i) elif labels[i] == ("s("+labels[i-1]+")"): continue else: iterationList.append(i) else: iterationList = range(2, nlabels) else: iterationList = range(2, nlabels) totalArray = numpy.zeros((nrows, nlabels), numpy.float) for i in range(nrows): totalArray[i, :] = [float(x) for x in lines[i+1].split()] nrows = int(max(totalArray[:,0]) + 1) ncols = int(max(totalArray[:,1]) + 1) singleArray = numpy.zeros((nrows* ncols, 1), numpy.float) for i in iterationList: singleArray[:, 0] = totalArray[:,i] * 1 self.addImage(numpy.resize(singleArray, (nrows, ncols)), labels[i]) def _isEdf(self, filename): f = open(filename, 'rb') twoBytes = f.read(2) f.close() if sys.version < '3.0': twoChar = twoBytes else: try: twoChar = twoBytes.decode('utf-8') except: twoChar = "__dummy__" if twoChar in ["II", "MM", "\n{"] or\ twoChar[0] in ["{"] or\ filename.lower().endswith('cbf')or\ (filename.lower().endswith('spe') and twoChar[0] not in ["$"]): #very likely wrapped as EDF return True return False def saveButtonClicked(self): self._saveButtonMenu.exec_(self.cursor().pos()) def saveSelectedImages(self): itemList = self.tableWidget.selectedItems() saveList = [] imageList = [] nImages = len(self._imageList) for item in itemList: row = item.row() if row >= nImages: errorText = "Requested to save non existing \nimage number %d." % row qt.QMessageBox.critical(self,"ValueError", errorText) return saveList.append(row) saveList.sort() for index in saveList: imageList.append(self._imageList[index]) self.saveImageList(imagelist=imageList) def saveImageList(self, filename=None, imagelist=None): if imagelist is None: imageList = self._imageList else: imageList = imagelist if not len(imageList): qt.QMessageBox.information(self,"No Data", "Image list is empty.\nNothing to be saved") return if filename is None: filename, filterused = self.getOutputFileNameAndFilter() if not len(filename): return else: filterused = None datalist = [] labels = [] for label in imageList: datalist.append(self._imageDict[label]['image']) labels.append(label.replace(" ","_")) fileRoot = os.path.splitext(filename)[0] fileExtension = os.path.splitext(filename)[-1].lower() if fileExtension in [".edf"]: if 'Float32'in self._saveFilter: dtype = numpy.float32 ArraySave.save2DArrayListAsEDF(datalist, filename, labels, dtype) else: ArraySave.save2DArrayListAsEDF(datalist, filename, labels) elif fileExtension in [".tif", ".tiff"]: if 'Float32'in self._saveFilter: dtype = numpy.float32 else: dtype = None severalFiles = False if len(datalist) > 1: if filterused is not None: if filterused.lower().startswith("several"): severalFiles = True elif self._saveFilter.lower().startswith("several"): severalFiles = True if severalFiles: for idx in range(len(labels)): fname = fileRoot + labels[idx] + fileExtension ArraySave.save2DArrayListAsMonochromaticTiff(\ [datalist[idx]], fname, labels=[labels[idx]], dtype=dtype) else: ArraySave.save2DArrayListAsMonochromaticTiff(datalist, filename, labels=labels, dtype=dtype) elif fileExtension in [".csv"]: if "," in self._saveFilter: csvseparator = "," elif ";" in self._saveFilter: csvseparator = ";" else: csvseparator = "\t" ArraySave.save2DArrayListAsASCII(datalist, filename, labels, csv=True, csvseparator=csvseparator) else: ArraySave.save2DArrayListAsASCII(datalist, filename, labels, csv=False) def showCalculationDialog(self): if self.calculationDialog is None: self.calculationDialog = RGBImageCalculator.RGBImageCalculator(replace=self.replaceOption) self.calculationDialog.sigAddImageClicked.connect(self.addImageSlot) self.calculationDialog.sigRemoveImageClicked.connect( \ self.removeImage) if self.replaceOption: self.calculationDialog.sigReplaceImageClicked.connect( \ self.replaceImageSlot) self.calculationDialog.imageList = self._imageList self.calculationDialog.imageDict = self._imageDict if self.calculationDialog.isHidden(): self.calculationDialog.show() self.calculationDialog.raise_() def showScatterPlotDialog(self): if self.scatterPlotWidget is None: self.scatterPlotWidget = \ ScatterPlotCorrelatorWidget.ScatterPlotCorrelatorWidget(\ labels=("Legend", "X", "Y"), types=("Text","RadioButton", "RadioButton")) self.scatterPlotWidget.show() self.scatterPlotWidget.raise_() # I should check if the list is to be updated instead of systematically # send it initialize = True for label in self._imageList: item = self._imageDict[label]["image"] if initialize: self.scatterPlotWidget.setSelectableItemList([item], labels=[label]) initialize = False else: self.scatterPlotWidget.addSelectableItem(item, label=label) if self.scatterPlotWidget.isHidden(): self.scatterPlotWidget.show() self.scatterPlotWidget.raise_() def getSelectedDataList(self): itemList = self.tableWidget.selectedItems() nImages = len(self._imageList) datalist = [] for item in itemList: row = item.row() if row >= nImages: errorText = "Requested to work with non existing \nimage number %d." % row qt.QMessageBox.critical(self,"ValueError", errorText) return label = self._imageList[row] datalist.append(self._imageDict[label]['image']) return datalist def showPCADialog(self): if self.pcaDialog is None: self.pcaDialog = PCADialog.PCADialog(rgbwidget=self, selection=False) self.pcaDialog.pcaWindow.\ buildAndConnectImageButtonBox(self.replaceOption) self.pcaDialog.pcaWindow.sigMaskImageWidgetSignal.connect(\ self.maskImageSlot) datalist = self.getSelectedDataList() if len(datalist) < 2: errorText = "Please select at least two images" qt.QMessageBox.critical(self,"ValueError", errorText) return self.pcaDialog.setData(datalist) self.pcaDialog.show() self.pcaDialog.raise_() def showNNMADialog(self): if self.nnmaDialog is None: self.nnmaDialog = NNMADialog.NNMADialog(rgbwidget=self, selection=False) self.nnmaDialog.nnmaWindow.\ buildAndConnectImageButtonBox(self.replaceOption) self.nnmaDialog.nnmaWindow.sigMaskImageWidgetSignal.connect(\ self.maskImageSlot) datalist = self.getSelectedDataList() if len(datalist) < 2: errorText = "Please select at least two images" qt.QMessageBox.critical(self,"ValueError", errorText) return self.nnmaDialog.setData(datalist) self.nnmaDialog.show() self.nnmaDialog.raise_() def maskImageSlot(self, ddict): if ddict['event'] == "addImageClicked": ddict['label'] = ddict['title'] self.addImageSlot(ddict) return if ddict['event'] == "replaceImageClicked": ddict['label'] = ddict['title'] self.replaceImageSlot(ddict) return if ddict['event'] == "removeImageClicked": ddict['label'] = ddict['title'] self.removeImageSlot(ddict) return def addImageSlot(self, ddict): self.addImage(ddict['image'], ddict['label']) def closeEvent(self, event): if self.calculationDialog is not None: self.calculationDialog.close() if self.profileImageListWidget is not None: self.profileImageListWidget.close() qt.QWidget.closeEvent(self, event) """ #This was for debugging #left out in order to skip PIL from the list of #packages when building binaries. def tiffExport(self, filename = "test.tif"): import Image Image.preinit() image = self.__redImage + self.__greenImage + self.__blueImage width = self.__imageShape[0] height = self.__imageShape[1] pilImage = Image.fromstring("RGBX",(width,height),image) if os.path.exists(filename): os.remove(filename) pilImage.save(filename) """ def profileSelectedImages(self): itemList = self.tableWidget.selectedItems() if len(itemList) < 1: errorText = "Please select at least one row in the table" qt.QMessageBox.critical(self,"ValueError", errorText) return profileList = [] imageList = [] imageNames = [] for item in itemList: row = item.row() profileList.append(row) for index in profileList: name = self._imageList[index] imageList.append(self._imageDict[name]['image']) imageNames.append(name) self.profileImageList(imagelist=imageList, imagenames=imageNames) def profileImageList(self, imagelist=None, imagenames=None): if imagelist in [None, []]: return if self.profileImageListWidget is None: self.profileImageListWidget= ExternalImagesWindow.ExternalImagesWindow(None,\ crop=False, imageicons=False, profileselection=True, depthselection=True) self.profileImageListWidget.setImageList(imagelist=imagelist, imagenames=imagenames) self.profileImageListWidget.show() class ImageShapeDialog(qt.QDialog): def __init__(self, parent = None, shape = None): qt.QDialog.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) label1 = MyQLabel(self, bold = False, color= qt.Qt.black) label1.setText("Number of rows = ") self.rows = qt.QLineEdit(self) self._size = None self.columns = qt.QLineEdit(self) if shape is not None: self.rows.setText("%g" % shape[0]) self.columns.setText("%g" % shape[1]) self._size = shape[0] * shape[1] self._shape = shape if QTVERSION < '4.0.0': self.setCaption("Resize %d x %d image" % (shape[0], shape[1])) else: self.setWindowTitle("Reshape %d x %d image" % (shape[0], shape[1])) label2 = MyQLabel(self, bold = False, color= qt.Qt.black) label2.setText("Number of columns = ") self.cancelButton = qt.QPushButton(self) self.cancelButton.setText("Dismiss") self.okButton = qt.QPushButton(self) self.okButton.setText("Accept") self.cancelButton.setAutoDefault(False) self.okButton.setAutoDefault(False) self.rows.editingFinished[()].connect(self._rowsChanged) self.columns.editingFinished[()].connect(self._columnsChanged) self.mainLayout.addWidget(label1, 0, 0) self.mainLayout.addWidget(self.rows, 0, 1) self.mainLayout.addWidget(label2, 1, 0) self.mainLayout.addWidget(self.columns, 1, 1) self.mainLayout.addWidget(self.cancelButton, 2, 0) self.mainLayout.addWidget(self.okButton, 2, 1) self.cancelButton.clicked.connect(self.reject) self.okButton.clicked.connect(self.accept) def _rowsChanged(self): nrows, ncolumns = self.getImageShape() if (nrows * ncolumns) != self._size: self.columns.setText("%g" % (self._size/float(nrows))) def _columnsChanged(self): nrows, ncolumns = self.getImageShape() if (nrows * ncolumns) != self._size: self.rows.setText("%g" % (self._size/float(ncolumns))) def getImageShape(self): text = "%s" % self.rows.text() if len(text): nrows = int(float(text)) else: nrows = 0 text = "%s" % self.columns.text() if len(text): ncolumns = int(float(text)) else: ncolumns = 0 return nrows, ncolumns def accept(self): if self._size is None:return qt.QDialog.accept(self) nrows, ncolumns = self.getImageShape() try: if (nrows * ncolumns) == self._size: return qt.QDialog.accept(self) else: self.rows.setText("%g" % self._shape[0]) self.columns.setText("%g" % self._shape[1]) msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid shape %d x %d" % (nrows, ncolumns)) msg.exec_() except: self.rows.setText("%g" % self._shape[0]) self.columns.setText("%g" % self._shape[1]) msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error reshaping: %s" % sys.exc_info()[1]) msg.exec_() class MyQLabel(qt.QLabel): def __init__(self,parent=None,name=None,fl=0,bold=True, color= qt.Qt.red): qt.QLabel.__init__(self,parent) if qt.qVersion() <'4.0.0': self.color = color self.bold = bold else: palette = self.palette() role = self.foregroundRole() palette.setColor(role,color) self.setPalette(palette) self.font().setBold(bold) if qt.qVersion() < '4.0.0': def drawContents(self, painter): painter.font().setBold(self.bold) pal =self.palette() pal.setColor(qt.QColorGroup.Foreground,self.color) self.setPalette(pal) qt.QLabel.drawContents(self,painter) painter.font().setBold(0) def test(): from PyMca5 import RGBCorrelatorGraph app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) container = qt.QSplitter() #containerLayout = qt.QHBoxLayout(container) w = RGBCorrelatorWidget(container) graph = RGBCorrelatorGraph.RGBCorrelatorGraph(container) def slot(ddict): if 'image' in ddict: image_buffer = ddict['image'].tostring() size = ddict['size'] graph.graph.pixmapPlot(image_buffer,size) graph.graph.replot() w.sigRGBCorrelatorWidgetSignal.connect(slot) import getopt options='' longoptions=[] opts, args = getopt.getopt( sys.argv[1:], options, longoptions) for opt,arg in opts: pass filelist=args if len(filelist): try: import DataSource DataReader = DataSource.DataSource except: import EdfFileDataSource DataReader = EdfFileDataSource.EdfFileDataSource for fname in filelist: source = DataReader(fname) for key in source.getSourceInfo()['KeyList']: dataObject = source.getDataObject(key) w.addImage(dataObject.data, os.path.basename(fname)+" "+key) else: array1 = numpy.arange(10000) array2 = numpy.resize(numpy.arange(10000), (100, 100)) array2 = numpy.transpose(array2) array3 = array1 * 1 w.addImage(array1) w.addImage(array2) w.addImage(array3) w.setImageShape([100, 100]) #containerLayout.addWidget(w) #containerLayout.addWidget(graph) container.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/QDispatcher.py0000644000276300001750000004222213136054446021401 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import traceback from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() from PyMca5.PyMcaGui.io import QSourceSelector from . import QDataSource #import weakref DEBUG = 0 class QDispatcher(qt.QWidget): sigAddSelection = qt.pyqtSignal(object) sigRemoveSelection = qt.pyqtSignal(object) sigReplaceSelection = qt.pyqtSignal(object) sigOtherSignals = qt.pyqtSignal(object) def __init__(self, parent=None, pluginsIcon=False): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self.sourceList = [] fileTypeList = ["Spec Files (*mca)", "Spec Files (*dat)", "Spec Files (*spec)", "SPE Files (*SPE *spe)", "EDF Files (*edf)", "EDF Files (*ccd)", "TIFF Files (*.tif *.tiff *.TIF *.TIFF)", "CSV Files (*csv)", "JCAMP-DX Files (*.jdx *.JDX *.dx *.DX)"] if QDataSource.NEXUS: fileTypeList.append("HDF5 Files (*.nxs *.hdf *.h5 *.hdf5)") fileTypeList.append("All Files (*)") self.sourceSelector = QSourceSelector.QSourceSelector(self, filetypelist=fileTypeList, pluginsIcon=pluginsIcon) if pluginsIcon: self.sourceSelector.pluginsButton.clicked.connect(self._pluginsClicked) self.pluginsCallback = None self.selectorWidget = {} self.tabWidget = qt.QTabWidget(self) #for the time being just files for src_widget in QDataSource.source_widgets.keys(): self.selectorWidget[src_widget] = QDataSource.source_widgets[src_widget]() self.tabWidget.addTab(self.selectorWidget[src_widget], src_widget) self.selectorWidget[src_widget].sigAddSelection.connect( \ self._addSelectionSlot) self.selectorWidget[src_widget].sigRemoveSelection.connect( \ self._removeSelectionSlot) self.selectorWidget[src_widget].sigReplaceSelection.connect( \ self._replaceSelectionSlot) if src_widget not in ['EdfFile']: self.selectorWidget[src_widget].sigOtherSignals.connect( \ self._otherSignalsSlot) self.mainLayout.addWidget(self.sourceSelector) self.mainLayout.addWidget(self.tabWidget) self.sourceSelector.sigSourceSelectorSignal.connect( \ self._sourceSelectorSlot) self.tabWidget.currentChanged[int].connect(self._tabChanged) def _addSelectionSlot(self, sel_list, event=None): if DEBUG: print("QDispatcher._addSelectionSlot") print("sel_list = ",sel_list) if event is None: event = "addSelection" i = 0 indices = [] index = [] affectedSources = [] for sel in sel_list: sourceName = sel['SourceName'] if not len(affectedSources): index += [i] elif sourceName == affectedSources[-1]: index += [i] else: indices.append(index) affectedSources.append(sourceName) index = [i] i += 1 indices.append(index) affectedSources.append(sourceName) affectedSourceIndex = -1 for affectedSource in affectedSources: affectedSourceIndex += 1 selectionList = [] lastEvent = None for source in self.sourceList: if source.sourceName == affectedSource: for selIndex in indices[affectedSourceIndex]: sel = sel_list[selIndex] #The dispatcher should be a singleton to work properly #implement a patch to make sure it is the targeted widget targetwidgetid = sel.get('targetwidgetid', None) if targetwidgetid not in [None, id(self)]: continue ddict = {} ddict.update(sel) ddict["event"] = event if lastEvent is None: lastEvent = event #we have found the source #this recovers the data and the info if True: #this creates a data object that is passed to everybody so #there is only one read out. #I should create a weakref to it in order to be informed #about its deletion. if source.sourceType != "SPS": if DEBUG: dataObject = source.getDataObject(sel['Key'], selection=sel['selection']) else: try: dataObject = source.getDataObject(sel['Key'], selection=sel['selection']) except: error = sys.exc_info() text = "Failed to read data source.\n" text += "Source: %s\n" % source.sourceName text += "Key: %s\n" % sel['Key'] text += "Error: %s" % error[1] if QTVERSION < '4.0.0': qt.QMessageBox.critical(self, "%s" % error[0], text) else: msg = qt.QMessageBox(self) msg.setWindowTitle('Source Error') msg.setIcon(qt.QMessageBox.Critical) msg.setInformativeText(text) msg.setDetailedText(\ traceback.format_exc()) continue else: dataObject = source.getDataObject(sel['Key'], selection=sel['selection'], poll=False) if dataObject is not None: dataObject.info['legend'] = sel['legend'] dataObject.info['targetwidgetid'] = targetwidgetid source.addToPoller(dataObject) else: #this may happen on deletion?? return if sel['Key'] == "SCAN_D": # I have to inform the widget about any possible # change in the associated environment #print source.sourceType #print source.sourceName #print sel['Key'] #print self.selectorWidget[source.sourceType] pass ddict['dataobject'] = dataObject selectionList.append(ddict) else: #this creates a weak reference to the source object #the clients will be able to retrieve the data #the problem is that 10 clients will requiere #10 read outs ddict["sourcereference"] = weakref.ref(source) selectionList.append(ddict) if lastEvent != event: if event.lower() == "addselection": self.sigAddSelection.emit(selectionList) selectionList = [] elif event.lower() == "replaceselection": self.sigReplaceSelection.emit(selectionList) selectionList = [] elif event.lower() == "removeselection": self.sigRemoveSelection.emit(selectionList) selectionList = [] else: print("Unhandled dispatcher event = ", event) del selectionList[-1] if len(selectionList): if event.lower() == "addselection": self.sigAddSelection.emit(selectionList) elif event.lower() == "replaceselection": self.sigReplaceSelection.emit(selectionList) elif event.lower() == "removeselection": self.sigRemoveSelection.emit(selectionList) lastEvent = None def _removeSelectionSlot(self, sel_list): if DEBUG: print("_removeSelectionSlot") print("sel_list = ",sel_list) for sel in sel_list: ddict = {} ddict.update(sel) ddict["event"] = "removeSelection" self.sigRemoveSelection.emit(ddict) def _replaceSelectionSlot(self, sel_list): if DEBUG: print("_replaceSelectionSlot") print("sel_list = ",sel_list) if len(sel_list) == 1: self._addSelectionSlot([sel_list[0]], event = "replaceSelection") elif len(sel_list) > 1: self._addSelectionSlot([sel_list[0]], event = "replaceSelection") self._addSelectionSlot(sel_list[1:], event = "addSelection") def _otherSignalsSlot(self, ddict): self.sigOtherSignals.emit(ddict) def _sourceSelectorSlot(self, ddict): if DEBUG: print("_sourceSelectorSlot(self, ddict)") print("ddict = ",ddict) if ddict["event"] == "NewSourceSelected": source = QDataSource.QDataSource(ddict["sourcelist"]) self.sourceList.append(source) sourceType = source.sourceType self.selectorWidget[sourceType].setDataSource(source) self.tabWidget.setCurrentWidget(self.selectorWidget[sourceType]) if sourceType == "SPS": source.sigUpdated.connect(self._selectionUpdatedSlot) elif (ddict["event"] == "SourceSelected") or \ (ddict["event"] == "SourceReloaded"): found = 0 for source in self.sourceList: if source.sourceName == ddict["sourcelist"]: found = 1 break if not found: if DEBUG: print("WARNING: source not found") return sourceType = source.sourceType if ddict["event"] == "SourceReloaded": source.refresh() self.selectorWidget[sourceType].setDataSource(source) self.tabWidget.setCurrentWidget(self.selectorWidget[sourceType]) elif ddict["event"] == "SourceClosed": found = 0 for source in self.sourceList: if source.sourceName == ddict["sourcelist"]: found = 1 break if not found: if DEBUG: print("WARNING: source not found") return sourceType = source.sourceType del self.sourceList[self.sourceList.index(source)] for source in self.sourceList: if sourceType == source.sourceType: self.selectorWidget[sourceType].setDataSource(source) self.tabWidget.setCurrentWidget(self.selectorWidget[sourceType]) return #there is no other selection of that type if len(self.sourceList): source = self.sourceList[0] sourceType = source.sourceType self.selectorWidget[sourceType].setDataSource(source) else: self.selectorWidget[sourceType].setDataSource(None) self.tabWidget.setCurrentWidget(self.selectorWidget[sourceType]) elif ddict["event"] == "SourceClosed": if DEBUG: print("not implemented yet") def _selectionUpdatedSlot(self, ddict): if DEBUG: print("_selectionUpdatedSlot(self, dict)",ddict) if 'selectionlist' in ddict: sel_list = ddict['selectionlist'] else: sel_list = [] for objectReference in ddict["id"]: targetwidgetid = ddict.get('targetwidgetid', None) if targetwidgetid not in [None, id(self)]: continue sel = {} sel['SourceName'] = ddict['SourceName'] sel['SourceType'] = ddict['SourceType'] sel['Key'] = ddict['Key'] if 0: sel['selection'] = objectReference.info['selection'] sel['legend'] = objectReference.info['legend'] if 'scanselection' in objectReference.info.keys(): sel['scanselection'] = objectReference.info['scanselection'] else: sel['selection'] = ddict['selection'] sel['legend'] = ddict['legend'] sel['scanselection'] = ddict['scanselection'] sel['imageselection'] = ddict['imageselection'] sel_list.append(sel) self._addSelectionSlot(sel_list) def _tabChanged(self, value): if DEBUG: print("self._tabChanged(value), value = ",value) text = str(self.tabWidget.tabText(value)) ddict = {} ddict['SourceType'] = text if self.selectorWidget[text].data is not None: ddict['SourceType'] = self.selectorWidget[text].data.sourceType ddict['SourceName'] = self.selectorWidget[text].data.sourceName else: ddict['SourceName'] = None ddict['event'] = "SourceTypeChanged" self.sigOtherSignals.emit(ddict) def _pluginsClicked(self): ddict = {} value = self.tabWidget.currentIndex() text = str(self.tabWidget.tabText(value)) ddict['SourceType'] = text if self.selectorWidget[text].data is not None: ddict['SourceType'] = self.selectorWidget[text].data.sourceType ddict['SourceName'] = self.selectorWidget[text].data.sourceName else: ddict['SourceName'] = None print(ddict) print("===========================") for source in self.sourceList: print(source) print(source.sourceType) sourceType = source.sourceType print(self.selectorWidget[sourceType].currentSelectionList()) if self.pluginsCallback is not None: self.pluginsCallback(info) def test(): app = qt.QApplication([]) w = QDispatcher() w.show() app.lastWindowClosed.connect(app.quit) app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/StackSelector.py0000644000276300001750000004722413137667364021761 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import copy import traceback from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5 import PyMcaDirs from PyMca5 import DataObject from PyMca5.PyMcaGui import PyMcaFileDialogs from PyMca5.PyMcaIO import MRCMap from PyMca5.PyMcaIO import OmnicMap from PyMca5.PyMcaIO import OpusDPTMap from PyMca5.PyMcaIO import LuciaMap from PyMca5.PyMcaIO import SupaVisioMap from PyMca5.PyMcaIO import AifiraMap from PyMca5.PyMcaIO import TextImageStack from PyMca5.PyMcaIO import TiffStack from PyMca5.PyMcaIO import RTXMap from PyMca5.PyMcaIO import LispixMap from PyMca5.PyMcaIO import RenishawMap from PyMca5.PyMcaIO import OmdaqLmf from PyMca5.PyMcaIO import JcampOpusStack from .QStack import QStack, QSpecFileStack try: from PyMca5.PyMcaGui.pymca import QHDF5Stack1D import h5py HDF5 = True except ImportError: HDF5 = False pass QTVERSION = qt.qVersion() DEBUG = 0 class StackSelector(object): def __init__(self, parent=None): self.parent = parent def getStack(self, filelist=None, imagestack=None): if filelist in [None, []]: filelist, filefilter = self._getStackOfFiles(getfilter=True) else: filefilter = "" if not len(filelist): return None if filefilter in ["", "All Files (*)"]: if HDF5: if h5py.is_hdf5(filelist[0]): filefilter = "HDF5" fileindex = 0 begin = None end = None aifirafile = False if len(filelist): PyMcaDirs.inputDir = os.path.dirname(filelist[0]) #if we are dealing with HDF5, no more tests needed if not filefilter.upper().startswith('HDF5'): f = open(filelist[0], 'rb') #read 10 characters if sys.version < '3.0': line = f.read(10) else: try: line = str(f.read(10).decode()) except UnicodeDecodeError: #give a dummy value line = " " f.close() omnicfile = False if filefilter.upper().startswith('HDF5'): stack = QHDF5Stack1D.QHDF5Stack1D(filelist) omnicfile = True elif filefilter.upper().startswith('OPUS-DPT'): stack = OpusDPTMap.OpusDPTMap(filelist[0]) omnicfile = True elif filefilter.upper().startswith("AIFIRA"): stack = AifiraMap.AifiraMap(filelist[0]) omnicfile = True aifirafile = True elif filefilter.upper().startswith("SUPAVISIO"): stack = SupaVisioMap.SupaVisioMap(filelist[0]) omnicfile = True elif filefilter.upper().startswith("TEXTIMAGE"): imagestack = True fileindex = 0 stack = TextImageStack.TextImageStack(imagestack=True) elif filefilter.upper().startswith("IMAGE") and\ (filelist[0].upper().endswith("TIF") or\ filelist[0].upper().endswith("TIFF")): stack = TiffStack.TiffStack(imagestack=True) elif filefilter.upper().startswith("RENISHAW"): stack = RenishawMap.RenishawMap(filelist[0]) omnicfile = True elif filefilter == "" and\ (filelist[0].upper().endswith("TIF") or\ filelist[0].upper().endswith("TIFF")): stack = TiffStack.TiffStack(imagestack=True) elif filefilter.upper().startswith("IMAGE"): if imagestack is None: imagestack = True fileindex = 0 stack = QStack(imagestack=imagestack) elif line[0] == "{": if filelist[0].upper().endswith("RAW"): if imagestack is None: imagestack=True stack = QStack(imagestack=imagestack) elif line[0:2] in ["II", "MM"]: if imagestack is None: imagestack = True stack = QStack(imagestack=imagestack) elif line.startswith('Spectral'): stack = OmnicMap.OmnicMap(filelist[0]) omnicfile = True elif line.startswith('#\tDate'): stack = LuciaMap.LuciaMap(filelist[0]) omnicfile = True elif filelist[0].upper().endswith("RAW.GZ")or\ filelist[0].upper().endswith("EDF.GZ")or\ filelist[0].upper().endswith("CCD.GZ")or\ filelist[0].upper().endswith("RAW.BZ2")or\ filelist[0].upper().endswith("EDF.BZ2")or\ filelist[0].upper().endswith("CCD.BZ2")or\ filelist[0].upper().endswith(".CBF"): if imagestack is None: imagestack = True stack = QStack(imagestack=imagestack) elif filelist[0].upper().endswith(".RTX"): stack = RTXMap.RTXMap(filelist[0]) omnicfile = True elif filelist[0][-4:].upper() in ["PIGE", "PIGE"]: stack = SupaVisioMap.SupaVisioMap(filelist[0]) omnicfile = True elif filelist[0][-3:].upper() in ["RBS"]: stack = SupaVisioMap.SupaVisioMap(filelist[0]) omnicfile = True elif filelist[0][-3:].upper() in ["SPE"] and\ (line[0] not in ['$', '#']): #Roper Scientific format #handle it as MarCCD stack stack = QStack(imagestack=True) elif MRCMap.isMRCFile(filelist[0]): stack = MRCMap.MRCMap(filelist[0]) omnicfile = True imagestack = True elif LispixMap.isLispixMapFile(filelist[0]): stack = LispixMap.LispixMap(filelist[0]) omnicfile = True elif RenishawMap.isRenishawMapFile(filelist[0]): # This is dangerous. Any .txt file with four # columns would be accepted as a Renishaw Map # by other hand, I do not know how to handle # that case as a stack. stack = RenishawMap.RenishawMap(filelist[0]) omnicfile = True elif OmdaqLmf.isOmdaqLmf(filelist[0]): stack = OmdaqLmf.OmdaqLmf(filelist[0]) omnicfile = True elif JcampOpusStack.isJcampOpusStackFile(filelist[0]): stack = JcampOpusStack.JcampOpusStack(filelist[0]) omnicfile = True else: stack = QSpecFileStack() if len(filelist) == 1: if not omnicfile: try: stack.loadIndexedStack(filelist[0], begin, end, fileindex=fileindex) except: msg = qt.QMessageBox() msg.setIcon(qt.QMessageBox.Critical) msg.setInformativeText("%s" % sys.exc_info()[1]) msg.setDetailedText(traceback.format_exc()) msg.exec_() if DEBUG: raise elif len(filelist): if not omnicfile: try: stack.loadFileList(filelist, fileindex=fileindex) except: msg = qt.QMessageBox() msg.setIcon(qt.QMessageBox.Critical) msg.setText("%s" % sys.exc_info()[1]) if QTVERSION < '4.0.0': msg.exec_loop() else: msg.exec_() if DEBUG: raise if aifirafile: masterStack = DataObject.DataObject() masterStack.info = copy.deepcopy(stack.info) masterStack.data = stack.data[:, :, 0:1024] masterStack.info['Dim_2'] = int(masterStack.info['Dim_2'] / 2) slaveStack = DataObject.DataObject() slaveStack.info = copy.deepcopy(stack.info) slaveStack.data = stack.data[:, :, 1024:] slaveStack.info['Dim_2'] = int(slaveStack.info['Dim_2'] / 2) return [masterStack, slaveStack] else: return stack def getStackFromPattern(self, filepattern, begin, end, increment=None, imagestack=None, fileindex=0): #get the first filename filename = filepattern % tuple(begin) if not os.path.exists(filename): raise IOError("Filename %s does not exist." % filename) #get the file list args = self.getFileListFromPattern(filepattern, begin, end, increment=increment) #get the file type f = open(args[0], 'rb') #read 10 characters line = f.read(10) f.close() specfile = False marCCD = False if line.startswith("II") or line.startswith("MM"): marCCD = True if line[0] == "\n": line = line[1:] if (line[0] == "{") or marCCD: if imagestack is None: if marCCD: imagestack = True if imagestack: #prevent any modification fileindex = 0 if filepattern is not None: #this dows not seem to put any trouble #(because of no redimensioning attempt) if False and (len(begin) != 1): raise IOError("EDF stack redimensioning not supported yet") stack = QStack(imagestack=imagestack) elif line.startswith('Spectral'): stack = OmnicMap.OmnicMap(args[0]) elif line.startswith('#\tDate:'): stack = LuciaMap.LuciaMap(args[0]) elif args[0][-4:].upper() in ["PIGE", "PIXE"]: stack = SupaVisioMap.SupaVisioMap(args[0]) elif args[0][-3:].upper() in ["RBS"]: stack = SupaVisioMap.SupaVisioMap(args[0]) elif args[0][-3:].lower() in [".h5", "nxs", "hdf"]: if not HDF5: raise IOError(\ "No HDF5 support while trying to read an HDF5 file") stack = QHDF5Stack1D.QHDF5Stack1D(args) elif args[0].upper().endswith("RAW.GZ")or\ args[0].upper().endswith("EDF.GZ")or\ args[0].upper().endswith("CCD.GZ")or\ args[0].upper().endswith("RAW.BZ2")or\ args[0].upper().endswith("EDF.BZ2")or\ args[0].upper().endswith("CCD.BZ2"): if imagestack is None: imagestack = True stack = QStack(imagestack=imagestack) else: if HDF5: if h5py.is_hdf5(args[0]): stack = QHDF5Stack1D.QHDF5Stack1D(args) else: stack = QSpecFileStack() specfile = True else: stack = QSpecFileStack() specfile = True if specfile and (len(begin) == 2): if increment is None: increment = [1] * len(begin) shape = (len(range(begin[0], end[0] + 1, increment[0])), len(range(begin[1], end[1] + 1, increment[1]))) stack.loadFileList(args, fileindex=fileindex, shape=shape) else: stack.loadFileList(args, fileindex=fileindex) return stack def _getFileList(self, fileTypeList, message=None, getfilter=None): if message is None: message = "Please select a file" if getfilter is None: getfilter = False wdir = PyMcaDirs.inputDir filterused = None if getfilter: filelist, filterused = PyMcaFileDialogs.getFileList(self.parent, filetypelist=fileTypeList, mode="OPEN", message=message, currentdir=wdir, getfilter=True, single=False, native=True) else: filelist = PyMcaFileDialogs.getFileList(self.parent, filetypelist=fileTypeList, mode="OPEN", message=message, currentdir=wdir, getfilter=False, single=False, native=True) if not(len(filelist)): return [] PyMcaDirs.inputDir = os.path.dirname(filelist[0]) if PyMcaDirs.outputDir is None: PyMcaDirs.outputDir = os.path.dirname(filelist[0]) if getfilter: return filelist, filterused else: return filelist def _getStackOfFiles(self, getfilter=None): if getfilter is None: getfilter = False fileTypeList = ["EDF Files (*edf)", "Image Files (*edf *ccd *raw *edf.gz *ccd.gz *raw.gz *cbf)", "Image Files (*tif *tiff *TIF *TIFF)", "TextImage Files (*txt)", "HDF5 Files (*.nxs *.hdf *.h5)", "EDF Files (*ccd)", "Specfile Files (*mca)", "Specfile Files (*dat)", "OMNIC Files (*map)", "OPUS-DPT Files (*.DPT *.dpt)", "JCAMP-DX Files (*.JDX *.jdx *.DX *.dx)", "RTX Files (*.rtx *.RTX)", "Lispix-RPL Files (*.rpl)", "Renishaw-ASCII Files (*.txt *.TXT)", "AIFIRA Files (*DAT)", "SupaVisio Files (*pige *pixe *rbs)", "MRC files (*.mrc *.st)", "All Files (*)"] if not HDF5: idx = fileTypeList.index("HDF5 Files (*.nxs *.hdf *.h5)") del fileTypeList[idx] message = "Open ONE indexed stack or SEVERAL files" return self._getFileList(fileTypeList, message=message, getfilter=getfilter) def getFileListFromPattern(self, pattern, begin, end, increment=None): if type(begin) == type(1): begin = [begin] if type(end) == type(1): end = [end] if len(begin) != len(end): raise ValueError(\ "Begin list and end list do not have same length") if increment is None: increment = [1] * len(begin) elif type(increment) == type(1): increment = [increment] if len(increment) != len(begin): raise ValueError(\ "Increment list and begin list do not have same length") fileList = [] if len(begin) == 1: for j in range(begin[0], end[0] + increment[0], increment[0]): fileList.append(pattern % (j)) elif len(begin) == 2: for j in range(begin[0], end[0] + increment[0], increment[0]): for k in range(begin[1], end[1] + increment[1], increment[1]): fileList.append(pattern % (j, k)) elif len(begin) == 3: raise ValueError("Cannot handle three indices yet.") for j in range(begin[0], end[0] + increment[0], increment[0]): for k in range(begin[1], end[1] + increment[1], increment[1]): for l in range(begin[2], end[2] + increment[2], increment[2]): fileList.append(pattern % (j, k, l)) else: raise ValueError("Cannot handle more than three indices.") return fileList if __name__ == "__main__": from PyMca5 import QStackWidget import getopt options = '' longoptions = ["fileindex=", "filepattern=", "begin=", "end=", "increment=", "nativefiledialogs=", "imagestack="] try: opts, args = getopt.getopt( sys.argv[1:], options, longoptions) except: print(sys.exc_info()[1]) sys.exit(1) fileindex = 0 filepattern = None begin = None end = None imagestack = False increment = None for opt, arg in opts: if opt in '--begin': if "," in arg: begin = [int(x) for x in arg.split(",")] else: begin = [int(arg)] elif opt in '--end': if "," in arg: end = [int(x) for x in arg.split(",")] else: end = int(arg) elif opt in '--increment': if "," in arg: increment = [int(x) for x in arg.split(",")] else: increment = int(arg) elif opt in '--filepattern': filepattern = arg.replace('"', '') filepattern = filepattern.replace("'", "") elif opt in '--fileindex': fileindex = int(arg) elif opt in '--imagestack': imagestack = int(arg) elif opt in '--nativefiledialogs': if int(arg): PyMcaDirs.nativeFileDialogs = True else: PyMcaDirs.nativeFileDialogs = False if filepattern is not None: if (begin is None) or (end is None): raise ValueError(\ "A file pattern needs at least a set of begin and end indices") app = qt.QApplication([]) widget = QStackWidget.QStackWidget() w = StackSelector(widget) if filepattern is not None: #ignore the args even if present stack = w.getStackFromPattern(filepattern, begin, end, increment=increment, imagestack=imagestack) else: stack = w.getStack(args, imagestack=imagestack) if type(stack) == type([]): #aifira like, two stacks widget.setStack(stack[0]) slave = QStackWidget.QStackWidget(master=False, rgbwidget=widget.rgbWidget) slave.setStack(stack[1]) widget.setSlave(slave) stack = None else: widget.setStack(stack) widget.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/Fit2Spec.py0000644000276300001750000004040113136054446020606 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import sys import time from . import McaCustomEvent from PyMca5.PyMcaIO import ConfigDict ROIWIDTH = 250. from PyMca5.PyMcaGui import PyMcaQt as qt class Fit2SpecGUI(qt.QWidget): def __init__(self,parent=None,name="Fit to Spec Conversion", filelist=None,outputdir=None, actions=0): qt.QWidget.__init__(self,parent,name) layout = qt.QVBoxLayout(self) layout.setAutoAdd(1) self.setCaption(name) self.__build(actions) if filelist is None: filelist = [] self.outputDir = None self.setFileList(filelist) self.setOutputDir(outputdir) def __build(self,actions): self.__grid= qt.QWidget(self) #self.__grid.setGeometry(qt.QRect(30,30,288,156)) grid = qt.QGridLayout(self.__grid,2,3,11,6) grid.setColStretch(0,0) grid.setColStretch(1,1) grid.setColStretch(2,0) #input list listrow = 0 listlabel = qt.QLabel(self.__grid) listlabel.setText("Input File list:") listlabel.setAlignment(qt.QLabel.WordBreak | qt.QLabel.AlignVCenter) self.__listView = qt.QTextView(self.__grid) self.__listView.setMaximumHeight(30*listlabel.sizeHint().height()) self.__listButton = qt.QPushButton(self.__grid) self.__listButton.setText('Browse') self.__listButton.clicked.connect(self.browseList) grid.addWidget(listlabel, listrow, 0, qt.Qt.AlignTop|qt.Qt.AlignLeft) grid.addWidget(self.__listView, listrow, 1) grid.addWidget(self.__listButton,listrow, 2, qt.Qt.AlignTop|qt.Qt.AlignRight) #output dir outrow = 1 outlabel = qt.QLabel(self.__grid) outlabel.setText("Output dir:") outlabel.setAlignment(qt.QLabel.WordBreak | qt.QLabel.AlignVCenter) self.__outLine = qt.QLineEdit(self.__grid) self.__outLine.setReadOnly(True) #self.__outLine.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Maximum, qt.QSizePolicy.Fixed)) self.__outButton = qt.QPushButton(self.__grid) self.__outButton.setText('Browse') self.__outButton.clicked.connect(self.browseOutputDir) grid.addWidget(outlabel, outrow, 0, qt.Qt.AlignLeft) grid.addWidget(self.__outLine, outrow, 1) grid.addWidget(self.__outButton, outrow, 2, qt.Qt.AlignLeft) if actions: self.__buildActions() def __buildActions(self): box = qt.QHBox(self) qt.HorizontalSpacer(box) self.__dismissButton = qt.QPushButton(box) qt.HorizontalSpacer(box) self.__dismissButton.setText("Close") self.__startButton = qt.QPushButton(box) qt.HorizontalSpacer(box) self.__startButton.setText("Start") self.__dismissButton.clicked.connect(self.close) self.__startButton.clicked.connect(self.start) def setFileList(self,filelist=None): if filelist is None: filelist = [] if True or self.__goodFileList(filelist): text = "" filelist.sort() for ffile in filelist: text += "%s\n" % ffile self.fileList = filelist self.__listView.setText(text) def setOutputDir(self,outputdir=None): if outputdir is None:return if self.__goodOutputDir(outputdir): self.outputDir = outputdir self.__outLine.setText(outputdir) else: qt.QMessageBox.critical(self, "ERROR", "Cannot use output directory:\n%s"% (outputdir)) def __goodFileList(self,filelist): if not len(filelist):return True for file in filelist: if not os.path.exists(file): qt.QMessageBox.critical(self, "ERROR",'File %s\ndoes not exists' % file) self.raiseW() return False return True def __goodOutputDir(self,outputdir): if os.path.isdir(outputdir):return True else:return False def browseList(self): filedialog = qt.QFileDialog(self,"Open a set of files",1) filedialog.setMode(filedialog.ExistingFiles) if hasattr(filedialog, "setFilters"): filedialog.setFilters("Fit Files (*.fit)\n") else: filedialog.setNameFilters("Fit Files (*.fit)\n") if filedialog.exec_loop() == qt.QDialog.Accepted: filelist0= filedialog.selectedFiles() else: self.raiseW() return filelist = [] for f in filelist0: filelist.append(qt.safe_str(f)) if len(filelist):self.setFileList(filelist) self.raiseW() def browseConfig(self): filename= qt.QFileDialog(self,"Open a new fit config file",1) filename.setMode(filename.ExistingFiles) filename.setFilters("Config Files (*.cfg)\nAll files (*)") if filename.exec_loop() == qt.QDialog.Accepted: filename = filename.selectedFile() else: self.raiseW() return filename = qt.safe_str(filename) if len(filename): self.setConfigFile(filename) self.raiseW() def browseOutputDir(self): outfile = qt.QFileDialog(self,"Output Directory Selection",1) outfile.setMode(outfile.DirectoryOnly) ret = outfile.exec_loop() if ret: outdir = qt.safe_str(outfile.selectedFile()) outfile.close() del outfile self.setOutputDir(outdir) else: outfile.close() del outfile self.raiseW() def start(self): if not len(self.fileList): qt.QMessageBox.critical(self, "ERROR",'Empty file list') self.raiseW() return if (self.outputDir is None) or (not self.__goodOutputDir(self.outputDir)): qt.QMessageBox.critical(self, "ERROR",'Invalid output directory') self.raiseW() return name = "Batch from %s to %s " % (os.path.basename(self.fileList[ 0]), os.path.basename(self.fileList[-1])) window = Fit2SpecWindow(name="Fit 2 Spec "+name,actions=1) b = Fit2SpecBatch(window,self.fileList,self.outputDir) def cleanup(): b.pleasePause = 0 b.pleaseBreak = 1 b.wait() qApp = qt.QApplication.instance() qApp.processEvents() def pause(): if b.pleasePause: b.pleasePause=0 window.pauseButton.setText("Pause") else: b.pleasePause=1 window.pauseButton.setText("Continue") window.pauseButton.clicked.connect(pause) window.abortButton.clicked.connect(window.close) qApp = qt.QApplication.instance() qApp.aboutToQuit.connect(cleanup) self.__window = window self.__b = b window.show() b.start() class Fit2SpecBatch(qt.QThread): def __init__(self, parent, filelist=None, outputdir = None): self._filelist = filelist self.outputdir = outputdir qt.QThread.__init__(self) self.parent = parent self.pleasePause = 0 def processList(self): for fitfile in self._filelist: self.onNewFile(fitfile, self._filelist) d = ConfigDict.ConfigDict() d.read(fitfile) f = open(os.path.join(self.outputdir,os.path.basename(fitfile)+".dat"),'w+') npoints = len(d['result']['xdata']) f.write("\n") f.write("#S 1 %s\n" % fitfile) i=0 for parameter in d['result']['parameters']: f.write("#U%d %s %.6g +/- %.3g\n" % (i, parameter, d['result']['fittedpar'][i], d['result']['sigmapar'][i])) i+=1 f.write("#N 6\n") f.write("#L Energy channel counts fit continuum pileup\n") for i in range(npoints): f.write("%.6g %.6g %.6g %.6g %.6g %.6g\n" % (d['result']['energy'][i], d['result']['xdata'][i], d['result']['ydata'][i], d['result']['yfit'][i], d['result']['continuum'][i], d['result']['pileup'][i])) f.close() self.onEnd() def run(self): self.processList() def onNewFile(self, file, filelist): self.postEvent(self.parent, McaCustomEvent.McaCustomEvent({'file':file, 'filelist':filelist, 'event':'onNewFile'})) if self.pleasePause:self.__pauseMethod() def onEnd(self): self.postEvent(self.parent, McaCustomEvent.McaCustomEvent({'event':'onEnd'})) if self.pleasePause:self.__pauseMethod() def __pauseMethod(self): self.postEvent(self.parent, McaCustomEvent.McaCustomEvent({'event':'batchPaused'})) while(self.pleasePause): time.sleep(1) self.postEvent(self.parent, McaCustomEvent.McaCustomEvent({'event':'batchResumed'})) class Fit2SpecWindow(qt.QWidget): def __init__(self,parent=None, name="BatchWindow", fl=0, actions = 0): qt.QWidget.__init__(self, parent, name, fl) self.setCaption(name) self.l = qt.QVBoxLayout(self) self.l.setAutoAdd(1) self.bars =qt.QWidget(self) self.barsLayout = qt.QGridLayout(self.bars,2,3) self.progressBar = qt.QProgressBar(self.bars) self.progressLabel = qt.QLabel(self.bars) self.progressLabel.setText('File Progress:') self.barsLayout.addWidget(self.progressLabel,0,0) self.barsLayout.addWidget(self.progressBar,0,1) self.status = qt.QLabel(self) self.status.setText(" ") self.timeLeft = qt.QLabel(self) self.timeLeft.setText("Estimated time left = ???? min") self.time0 = None if actions: self.addButtons() self.show() self.raiseW() def addButtons(self): self.actions = 1 self.buttonsBox = qt.QWidget(self) l = qt.QHBoxLayout(self.buttonsBox) l.setAutoAdd(1) qt.HorizontalSpacer(self.buttonsBox) self.pauseButton = qt.QPushButton(self.buttonsBox) qt.HorizontalSpacer(self.buttonsBox) self.pauseButton.setText("Pause") self.abortButton = qt.QPushButton(self.buttonsBox) qt.HorizontalSpacer(self.buttonsBox) self.abortButton.setText("Abort") self.update() def customEvent(self,event): if event.dict['event'] == 'onNewFile':self.onNewFile(event.dict['file'], event.dict['filelist']) elif event.dict['event'] == 'onEnd': self.onEnd(event.dict) elif event.dict['event'] == 'batchPaused': self.onPause() elif event.dict['event'] == 'batchResumed':self.onResume() else: print("Unhandled event",event) def onNewFile(self, file, filelist): indexlist = range(0,len(filelist)) index = indexlist.index(filelist.index(file)) nfiles = len(indexlist) self.status.setText("Processing file %s" % file) e = time.time() self.progressBar.setTotalSteps(nfiles) self.progressBar.setProgress(index) if self.time0 is not None: t = (e - self.time0) * (nfiles - index) self.time0 =e if t < 120: self.timeLeft.setText("Estimated time left = %d sec" % (t)) else: self.timeLeft.setText("Estimated time left = %d min" % (int(t / 60.))) else: self.time0 = e def onEnd(self,dict): n = self.progressBar.progress() self.progressBar.setProgress(n+1) self.status.setText ("Batch Finished") self.timeLeft.setText("Estimated time left = 0 sec") if self.actions: self.pauseButton.hide() self.abortButton.setText("OK") def onPause(self): pass def onResume(self): pass if __name__ == "__main__": import getopt options = 'f' longoptions = ['outdir=', 'listfile='] filelist = None outdir = None listfile = None opts, args = getopt.getopt( sys.argv[1:], options, longoptions) for opt,arg in opts: if opt in ('--outdir'): outdir = arg elif opt in ('--listfile'): listfile = arg if listfile is None: filelist=[] for item in args: filelist.append(item) else: fd = open(listfile) filelist = fd.readlines() fd.close() for i in range(len(filelist)): filelist[i]=filelist[i].replace('\n','') app=qt.QApplication(sys.argv) winpalette = qt.QPalette(qt.QColor(230,240,249),qt.QColor(238,234,238)) app.setPalette(winpalette) app.lastWindowClosed.conenct(app.quit) if len(filelist) == 0: w = Fit2SpecGUI(actions=1) app.setMainWidget(w) w.show() app.exec_() else: text = "Batch from %s to %s" % (os.path.basename(filelist[0]), os.path.basename(filelist[-1])) window = Fit2SpecWindow(name=text,actions=1) b = Fit2SpecBatch(window,filelist,outdir) def cleanup(): b.pleasePause = 0 b.pleaseBreak = 1 b.wait() qApp = qt.QApplication.instance() qApp.processEvents() def pause(): if b.pleasePause: b.pleasePause=0 window.pauseButton.setText("Pause") else: b.pleasePause=1 window.pauseButton.setText("Continue") window.pauseButton.clicked.connect(pause) window.abortButton.clicked.connect(window.close) app.aboutToQuit.connect(cleanup) window.show() b.start() app.setMainWidget(window) app.exec_() # PyMcaBatch.py --cfg=/mntdirect/_bliss/users/sole/COTTE/WithLead.cfg --outdir=/tmp/ /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0007.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0008.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0009.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0010.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0011.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0012.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0013.edf & # PyMcaBatch.exe --cfg=E:/COTTE/WithLead.cfg --outdir=C:/tmp/ E:/COTTE/ch09/ch09__mca_0003_0000_0007.edf E:/COTTE/ch09/ch09__mca_0003_0000_0008.edf PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/RGBImageCalculator.py0000644000276300001750000003045713136054446022570 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import numpy from PyMca5.PyMcaGui import MaskImageWidget from PyMca5.PyMcaGui import ColormapDialog from PyMca5 import spslut from PyMca5.PyMcaGui import QPyMcaMatplotlibSave MATPLOTLIB = True convertToRowAndColumn = MaskImageWidget.convertToRowAndColumn qt = MaskImageWidget.qt IconDict = MaskImageWidget.IconDict QTVERSION = qt.qVersion() COLORMAPLIST = [spslut.GREYSCALE, spslut.REVERSEGREY, spslut.TEMP, spslut.RED, spslut.GREEN, spslut.BLUE, spslut.MANY] DEBUG = 0 class RGBImageCalculator(qt.QWidget): sigAddImageClicked = qt.pyqtSignal(object) sigRemoveImageClicked = qt.pyqtSignal(object) sigReplaceImageClicked = qt.pyqtSignal(object) def __init__(self, parent = None, math = True, replace = False, scanwindow=None): qt.QWidget.__init__(self, parent) self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.setWindowTitle("PyMCA - RGB Image Calculator") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self.imageList = None self.imageDict = None self._imageData = None self._xScale = None self._yScale = None self.__imagePixmap = None self.__imageColormap = None self.__imageColormapDialog = None self.setDefaultColormap(2, logflag=False) self._y1AxisInverted = False self._matplotlibSaveImage = None self._build(math = math, replace = replace, scanwindow=scanwindow) def _buildMath(self): self.mathBox = qt.QWidget(self) self.mathBox.mainLayout = qt.QHBoxLayout(self.mathBox) self.mathLabel = qt.QLabel(self.mathBox) self.mathLabel.setText("New image = ") self.mathExpression = qt.QLineEdit(self.mathBox) text = "" text += "Enter a mathematical expression in which your images\n" text += "have to be identified by a number between curly brackets.\n" text += "In order to normalize image 1 by image 2: {1}/{2}\n" text += "The numbers go from 1 to the number of rows in the table.\n" text += "If you can suggest useful correlation functions please,\n" text += "do not hesitate to contact us in order to implement them." self.mathExpression.setToolTip(text) self.mathAction = qt.QToolButton(self.mathBox) self.mathAction.setText("CALCULATE") self.mathBox.mainLayout.addWidget(self.mathLabel) self.mathBox.mainLayout.addWidget(self.mathExpression) self.mathBox.mainLayout.addWidget(self.mathAction) self.mainLayout.addWidget(self.mathBox) self.mathAction.clicked.connect(self._calculateClicked) def _build(self, math = True, replace = False, scanwindow=False): if math: self._buildMath() self.graphWidget = MaskImageWidget.MaskImageWidget(self, colormap=True, standalonesave=True, imageicons=False, profileselection=True, selection=False, scanwindow=scanwindow, aspect=True) self.nameBox = qt.QWidget(self) self.nameBox.mainLayout = qt.QHBoxLayout(self.nameBox) self.nameLabel = qt.QLabel(self.nameBox) self.nameLabel.setText("Image Name = ") #self.nameLabel.setText(qt.QString(qt.QChar(0x3A3))) self.name = qt.QLineEdit(self.nameBox) self.nameBox.mainLayout.addWidget(self.nameLabel) self.nameBox.mainLayout.addWidget(self.name) # The IMAGE selection #self.imageButtonBox = qt.QWidget(self) self.imageButtonBox = self.nameBox buttonBox = self.imageButtonBox #self.imageButtonBoxLayout = qt.QHBoxLayout(buttonBox) self.imageButtonBoxLayout = self.nameBox.mainLayout self.imageButtonBoxLayout.setContentsMargins(0, 0, 0, 0) self.imageButtonBoxLayout.setSpacing(0) self.addImageButton = qt.QPushButton(buttonBox) icon = qt.QIcon(qt.QPixmap(IconDict["rgb16"])) self.addImageButton.setIcon(icon) self.addImageButton.setText("ADD IMAGE") self.removeImageButton = qt.QPushButton(buttonBox) self.removeImageButton.setIcon(icon) self.removeImageButton.setText("REMOVE IMAGE") self.imageButtonBoxLayout.addWidget(self.addImageButton) self.imageButtonBoxLayout.addWidget(self.removeImageButton) if replace: self.replaceImageButton = qt.QPushButton(buttonBox) self.replaceImageButton.setIcon(icon) self.replaceImageButton.setText("REPLACE IMAGE") self.imageButtonBoxLayout.addWidget(self.replaceImageButton) #self.mainLayout.addWidget(self.nameBox) self.mainLayout.addWidget(self.graphWidget) self.mainLayout.addWidget(buttonBox) self.addImageButton.clicked.connect(self._addImageClicked) self.removeImageButton.clicked.connect(self._removeImageClicked) if replace: self.replaceImageButton.clicked.connect( \ self._replaceImageClicked) #it consumes too much CPU, therefore only on click #self.graphWidget.graph.canvas().setMouseTracking(1) self.graphWidget.graphWidget.showInfo() self.graphWidget.graphWidget.graph.sigPlotSignal.connect(\ self._graphSignal) def plotImage(self, update=True): self.graphWidget.setImageData(self._imageData, xScale=self._xScale, yScale=self._yScale) return self.graphWidget.plotImage(update=update) def _calculateClicked(self): if DEBUG: print("Calculate clicked") text = "%s" % self.mathExpression.text() if not len(text): qt.QMessageBox.critical(self, "Calculation Error", "Empty expression") return 1 expression = text * 1 name = text * 1 i = 1 for label in self.imageList: item = "{%d}" % i replacingChain ="self.imageDict[self.imageList[%d]]['image']" % (i-1) expression = expression.replace(item, replacingChain) if sys.version < '3.0': try: tmpLabel = label.decode() except UnicodeDecodeError: try: tmpLabel = label.decode('utf-8') except UnicodeDecodeError: try: tmpLabel = label.decode('latin-1') except UnicodeDecodeError: tmpLabel = "image_%0d" % i else: tmpLabel = label name = name.replace(item, tmpLabel) i = i + 1 try: self._imageData = 1 * eval(expression) except: error = sys.exc_info() text = "Failed to evaluate expression:\n" text += "%s\n" % expression text += "%s" % error[1] qt.QMessageBox.critical(self,"%s" % error[0], text) return 1 self.plotImage() self.setName("(%s)" % name) def setName(self, name): self.name.setText(name) self.graphWidget.graph.setGraphTitle("%s" % name) def _addImageClicked(self): if DEBUG: print("Add image clicked") if self._imageData is None: return if self._imageData == []: return text = "%s" % self.name.text() if not len(text): qt.QMessageBox.critical(self, "Name Error", "Please give a name to the image") return 1 ddict = {} ddict['label'] = text ddict['image'] = self._imageData self.sigAddImageClicked.emit(ddict) def _removeImageClicked(self): if DEBUG: print("remove image clicked") text = "%s" % self.name.text() if not len(text): qt.QMessageBox.critical(self, "Name Error", "Please enter the image name") return 1 self.sigRemoveImageClicked.emit(text) def _replaceImageClicked(self): if DEBUG: print("replace image clicked") text = "%s" % self.name.text() if not len(text): qt.QMessageBox.critical(self, "Name Error", "Please enter the image name") return 1 ddict = {} ddict['label'] = text ddict['image'] = self._imageData self.sigReplaceImageClicked.emit(ddict) def setDefaultColormap(self, colormapindex, logflag=False): self.__defaultColormap = COLORMAPLIST[min(colormapindex, len(COLORMAPLIST)-1)] if logflag: self.__defaultColormapType = spslut.LOG else: self.__defaultColormapType = spslut.LINEAR def _graphSignal(self, ddict): if ddict['event'] in ["mouseMoved", "MouseAt"]: if self._imageData is None: self.graphWidget.setInfoText(" X = ???? Y = ???? Z =????") return r, c = convertToRowAndColumn(ddict['x'], ddict['y'], self._imageData.shape, xScale=self._xScale, yScale=self._yScale, safe=True) z = self._imageData[r, c] self.graphWidget.graphWidget.setInfoText(" X = %.2f Y = %.2f Z = %.7g" %\ (ddict['x'], ddict['y'], z)) def closeEvent(self, event): if self.__imageColormapDialog is not None: self.__imageColormapDialog.close() if self._matplotlibSaveImage is not None: self._matplotlibSaveImage.close() qt.QWidget.closeEvent(self, event) def test(): app = qt.QApplication(sys.argv) w = RGBImageCalculator() array1 = numpy.arange(10000) array2 = numpy.transpose(array1) array3 = array1 * 1 array1.shape = [100,100] array2.shape = [100,100] array3.shape = [100,100] imageList = ["array1", "array2","array3"] imageDict = {"array1":{'image':array1}, "array2":{'image':array2}, "array3":{'image':array3}} w.imageList = imageList w.imageDict = imageDict w.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/PyMcaMdi.py0000644000276300001750000003752313136054446020645 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys, getopt, string from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, "QString"): QString = qt.QString else: QString = str QTVERSION = qt.qVersion() from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from .PyMca_help import HelpDict DEBUG = 0 __version__ = "1.5" class PyMcaMdi(qt.QMainWindow): def __init__(self, parent=None, name="PyMca Mdi", fl=None, options={}): qt.QMainWindow.__init__(self, parent) self.setWindowTitle(name) if fl is None: fl = qt.Qt.WA_DeleteOnClose if QTVERSION > '5.0.0': if sys.platform.startswith("darwin"): self.menuBar().setNativeMenuBar(False) self.options= {} self.options["FileToolBar"]= options.get("FileToolBar", 1) self.options["WinToolBar"] = options.get("WinToolBar", 1) self.options["MenuFile"] = options.get("MenuFile", 1) self.options["MenuTools"] = options.get("MenuTools", 1) self.options["MenuWindow"] = options.get("MenuWindow", 1) self.options["MenuHelp"] = options.get("MenuHelp", 1) self.splitter = qt.QSplitter(self) self.splitter.setOrientation(qt.Qt.Horizontal) #self.splitterLayout = qt.QVBoxLayout(self.splitter) #self.splitterLayout.setContentsMargins(0, 0, 0, 0) #self.splitterLayout.setSpacing(0) self.printer= qt.QPrinter() if QTVERSION > '5.0.0': self.mdi = qt.QMdiArea(self.splitter) else: self.mdi = qt.QWorkspace(self.splitter) self.mdi.setScrollBarsEnabled(1) if not hasattr(self.mdi, "windowList"): # Qt5 self.mdi.windowList = self.mdi.subWindowList self.mdi.activeWindow = self.mdi.activeSubWindow self.mdi.tile = self.mdi.tileSubWindows self.mdi.cascade = self.mdi.cascadeSubWindows else: # Qt4 self.mdi.subWindowList = self.mdi.windowList self.mdi.activeSubWindow = self.mdi.activeWindow self.mdi.tileSubWindows = self.mdi.tile self.mdi.cascadeSubWindows = self.mdi.cascade #if QTVERSION > '4.0.0':self.mdi.setBackground(qt.QBrush(qt.QColor(238,234,238))) #self.setCentralWidget(self.mdi) #self.splitterLayout.addWidget(self.mdi) self.setCentralWidget(self.splitter) self.splitter.insertWidget(1, self.mdi) self.windowMapper = qt.QSignalMapper(self) if QTVERSION > '5.0.0': self.windowMapper.mapped[qt.QWidget].connect(self.mdi.setActiveSubWindow) else: self.windowMapper.mapped[qt.QWidget].connect(self.mdi.setActiveWindow) #self.setDockEnabled(qt.Qt.DockTop, 0) self.initIcons() if QTVERSION > '4.0.0': self.createActions() self.initMenuBar() self.initToolBar() self.followActiveWindow= 0 self.mdi.show() #self.resize(600,400) def createActions(self): #fileopen self.actionOpen = qt.QAction(self) self.actionOpen.setText(QString("&Open")) self.actionOpen.setIcon(self.Icons["fileopen"]) self.actionOpen.setShortcut(qt.Qt.CTRL+qt.Qt.Key_O) self.actionOpen.triggered[bool].connect(self.onOpen) #filesaveas self.actionSaveAs = qt.QAction(self) self.actionSaveAs.setText(QString("&Save")) self.actionSaveAs.setIcon(self.Icons["filesave"]) self.actionSaveAs.setShortcut(qt.Qt.CTRL+qt.Qt.Key_S) self.actionSaveAs.triggered[bool].connect(self.onSaveAs) #filesave self.actionSave = qt.QAction(self) self.actionSave.setText(QString("Save &Defaults")) #self.actionSave.setIcon(self.Icons["filesave"]) #self.actionSave.setShortcut(qt.Qt.CTRL+qt.Qt.Key_S) self.actionSave.triggered[bool].connect(self.onSave) #fileprint self.actionPrint = qt.QAction(self) self.actionPrint.setText(QString("&Print")) self.actionPrint.setIcon(self.Icons["fileprint"]) self.actionPrint.setShortcut(qt.Qt.CTRL+qt.Qt.Key_P) self.actionPrint.triggered[bool].connect(self.onPrint) #filequit self.actionQuit = qt.QAction(self) self.actionQuit.setText(QString("&Quit")) #self.actionQuit.setIcon(self.Icons["fileprint"]) self.actionQuit.setShortcut(qt.Qt.CTRL+qt.Qt.Key_Q) qApp = qt.QApplication.instance() self.actionQuit.triggered[bool].connect(qApp.closeAllWindows) def initIcons(self): self.Icons= {} for (name, icon) in IconDict.items(): pixmap= qt.QPixmap(icon) self.Icons[name]= qt.QIcon(pixmap) def initToolBar(self): if self.options["FileToolBar"]: self.fileToolBar= self.addToolBar("filetoolbar") self.fileToolBar.addAction(self.actionOpen) self.fileToolBar.addAction(self.actionSaveAs) self.fileToolBar.addAction(self.actionPrint) self.fileToolBar.addSeparator() self.onInitToolBar() if self.options["WinToolBar"]: self.winToolBar = self.addToolBar("wintoolbar") def onWinToolMenu(self, idx): if DEBUG: print("onWinToolMenu %d " % idx) for midx in self.winToolMenuIndex: self.winToolMenu.setItemChecked(midx, midx==idx) act= self.winToolMenuIndex.index(idx) self.winToolButton.setTextLabel(self.winToolMenuText[act]) if act==0: self.winToolMenuAction= self.windowCascade elif act==1: self.winToolMenuAction= self.windowTile elif act==2: self.winToolMenuAction= self.windowHorizontal elif act==3: self.winToolMenuAction= self.windowVertical self.onWinToolAction() def onWinToolAction(self): apply(self.winToolMenuAction, ()) # # Mdi windows geometry # def windowCascade(self): if self.followActiveWindow: self.__disconnectFollow() self.mdi.cascade() for window in self.mdi.windowList(): window.resize(0.7*self.mdi.width(),0.7*self.mdi.height()) if self.followActiveWindow: self.__connectFollow() def windowTile(self): if self.followActiveWindow: self.__disconnectFollow() self.mdi.tile() if self.followActiveWindow: self.__connectFollow() def windowHorizontal(self): #if self.followActiveWindow: self.__disconnectFollow() if not len(self.mdi.windowList()): return windowheight=float(self.mdi.height())/len(self.mdi.windowList()) i=0 for window in self.mdi.windowList(): window.parentWidget().showNormal() window.parentWidget().setGeometry(0, int(windowheight*i), self.mdi.width(),int(windowheight)) if QTVERSION < '4.0.0': window.parentWidget().raiseW() else: window.parentWidget().raise_() i+=1 self.mdi.update() self.update() #if self.followActiveWindow: self.__connectFollow() def windowVertical(self): #if self.followActiveWindow: self.__disconnectFollow() if not len(self.mdi.windowList()): return windowwidth=float(self.mdi.width())/len(self.mdi.windowList()) i=0 for window in self.mdi.windowList(): window.parentWidget().showNormal() window.parentWidget().setGeometry(int(windowwidth*i),0, int(windowwidth),self.mdi.height()) window.parentWidget().raise_() i+=1 self.mdi.update() self.update() #if self.followActiveWindow: self.__connectFollow() def windowFullScreen(self): if len(self.mdi.windowList()): self.mdi.activeWindow().showMaximized() def initMenuBar(self): if self.options["MenuFile"]: #self.menubar = qt.QMenuBar(self) self.menuFile= qt.QMenu() self.menuFile.addAction(self.actionOpen) self.menuFile.addAction(self.actionSaveAs) self.menuFile.addAction(self.actionSave) self.menuFile.addSeparator() self.menuFile.addAction(self.actionPrint) self.menuFile.addSeparator() self.menuFile.addAction(self.actionQuit) self.menuFile.setTitle("&File") self.menuBar().addMenu(self.menuFile) self.onInitMenuBar(self.menuBar()) if self.options["MenuTools"]: self.menuTools= qt.QMenu() #self.menuTools.setCheckable(1) self.menuTools.aboutToShow[()].connect(self.menuToolsAboutToShow) self.menuTools.setTitle("&Tools") self.menuBar().addMenu(self.menuTools) if self.options["MenuWindow"]: self.menuWindow= qt.QMenu() #self.menuWindow.setCheckable(1) self.menuWindow.aboutToShow[()].connect(self.menuWindowAboutToShow) self.menuWindow.setTitle("&Window") self.menuBar().addMenu(self.menuWindow) if self.options["MenuHelp"]: self.menuHelp= qt.QMenu() self.menuHelp.addAction("&About", self.onAbout) self.menuHelp.addAction("About &Qt",self.onAboutQt) self.menuBar().addSeparator() self.menuHelp.setTitle("&Help") self.menuBar().addMenu(self.menuHelp) def menuWindowAboutToShow(self): if DEBUG: print("menuWindowAboutToShow") self.menuWindow.clear() if len(self.mdi.windowList())==0: return self.menuWindow.addAction("&Cascade", self.windowCascade) self.menuWindow.addAction("&Tile", self.windowTile) self.menuWindow.addAction("&Tile Horizontally", self.windowHorizontal) self.menuWindow.addAction("&Tile Vertically", self.windowVertical) windows=self.mdi.windowList() if len(windows) > 0: self.menuWindow.addSeparator() num = 0 for window in windows: text = "&%d %s"%(num, str(window.windowTitle())) num += 1 action = self.menuWindow.addAction(text) action.setCheckable(True) action.setChecked(window == self.mdi.activeWindow()) action.triggered.connect(self.windowMapper.map) self.windowMapper.setMapping(action, window) def _windowMapperMapSlot(self): return self.windowMapper.map() def menuWindowActivated(self, idx = None): if DEBUG: print("menuWindowActivated idx = ",idx) if idx is None:return if self.menuWindowMap[idx].isHidden(): self.menuWindowMap[idx].show() self.menuWindowMap[idx].raise_() self.menuWindowMap[idx].setFocus() def __connectFollow(self): self.mdi.windowActivated.connect(self.onWindowActivated) def __disconnectFollow(self): self.mdi.windowActivated.disconnect(self.onWindowActivated) def setFollowActiveWindow(self, follow): if follow != self.followActiveWindow: if not follow: self.__disconnectFollow() else: self.__connectFollow() self.followActiveWindow= follow def onWindowActivated(self, win): print("Window activated") pass # # Dock windows # def isCustomizable(self): nb= 0 for win in self.dockWindows(): nb += isinstance(win, DockWindow) return (nb>0) def customize(self, *args): dg= DockPlaceDialog(self, window=self, title="Tool Places") dg.exec_loop() # # Menus customization # def onInitMenuBar(self, menubar): pass def onInitFileToolBar(self, toolbar): pass def onInitToolBar(self): pass def onInitWinToolBar(self, toolbar): pass def menuToolsAboutToShow(self): if DEBUG: print("menuToolsAboutToShow") self.menuTools.clear() self.menuToolsMap= {} """ for win in self.dockWindows(): if isinstance(win, DockWindow): idx= self.menuTools.insertItem("%s"%str(win.caption()), self.menuToolsActivated) self.menuToolsMap[idx]= win self.menuTools.setItemChecked(idx, not win.isHidden()) """ if len(self.menuToolsMap.keys()): self.menuTools.insertSeparator() self.menuTools.insertItem("Customize", self.customize) def menuToolsActivated(self, idx): if DEBUG: print("menuToolsActivated idx = ",idx) if self.menuTools.isItemChecked(idx): self.menuToolsMap[idx].hide() else: self.menuToolsMap[idx].show() # # Menus customization # def onInitMenuBar(self, menubar): pass def onInitFileToolBar(self, toolbar): pass def onInitToolBar(self): pass def onInitWinToolBar(self, toolbar): pass # # Menus callback # def onAboutQt(self): qt.QMessageBox.aboutQt(self, "About Qt") def onAbout(self): qt.QMessageBox.about(self, "MDI", "MDI Application Framework\nVersion: "+__version__) def onOpen(self): qt.QMessageBox.about(self, "Open", "Not implemented") def onSave(self): qt.QMessageBox.about(self, "Save", "Not implemented") def onSaveAs(self): qt.QMessageBox.about(self, "SaveAs", "Not implemented") def onPrint(self): qt.QMessageBox.about(self, "Print", "Not implemented") def main(args): app = qt.QApplication(args) #if sys.platform == 'win32': if 1: winpalette = qt.QPalette(qt.QColor(230,240,249),qt.QColor(238,234,238)) app.setPalette(winpalette) options = '' longoptions = ['spec=','shm='] try: opts, args = getopt.getopt( sys.argv[1:], options, longoptions) except getopt.error: print(sys.exc_info()[1]) sys.exit(1) # --- waiting widget kw={} for opt, arg in opts: if opt in ('--spec'): kw['spec'] = arg elif opt in ('--shm'): kw['shm'] = arg #demo = McaWindow.McaWidget(**kw) demo = PyMcaMdi() app.lastWindowClosed.connect(app.quit) demo.show() app.exec_() if __name__ == '__main__': main(sys.argv) PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/PyMcaBatch.py0000644000276300001750000023513513173367502021155 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import time import subprocess from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() try: import h5py from PyMca5.PyMcaCore import NexusDataSource from PyMca5.PyMcaGui.io.hdf5 import QNexusWidget from PyMca5.PyMcaGui.io.hdf5 import HDF5Selection HDF5SUPPORT = True except ImportError: HDF5SUPPORT = False from PyMca5.PyMcaIO import ConfigDict from PyMca5.PyMcaPhysics.xrf import McaAdvancedFitBatch from PyMca5.PyMcaGui.physics.xrf import QtMcaAdvancedFitReport from PyMca5.PyMcaCore import EdfFileLayer from PyMca5.PyMcaCore import SpecFileLayer from PyMca5.PyMcaGui import IconDict from PyMca5.PyMcaGui.pymca import McaCustomEvent from PyMca5.PyMcaGui.pymca import EdfFileSimpleViewer from PyMca5.PyMcaCore import HtmlIndex from PyMca5.PyMcaCore import PyMcaDirs from PyMca5.PyMcaCore import PyMcaBatchBuildOutput ROIWIDTH = 100. DEBUG = 0 class McaBatchGUI(qt.QWidget): def __init__(self,parent=None,name="PyMca batch fitting",fl=None, filelist=None,config=None,outputdir=None, actions=0): qt.QWidget.__init__(self, parent) self.setWindowTitle(name) self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self._layout = qt.QVBoxLayout(self) self._layout.setContentsMargins(0, 0, 0, 0) self._layout.setSpacing(0) self._edfSimpleViewer = None self._timer = None self._processList = [] self._selection = None self.__build(actions) if filelist is None: filelist = [] self.inputDir = None self.outputDir = None if outputdir is not None: if os.path.exists(outputdir): self.outputDir = outputdir else: qt.QMessageBox.information(self, "INFO", "Directory %s does not exists\nUsing %s"% (outputdir, self.outputDir)) self.configFile = None self.setFileList(filelist) self.setConfigFile(config) self.setOutputDir(self.outputDir) def __build(self,actions): self.__grid= qt.QWidget(self) self._layout.addWidget(self.__grid) #self.__grid.setGeometry(qt.QRect(30,30,288,156)) if QTVERSION < '4.0.0': grid = qt.QGridLayout(self.__grid,3,3,11,6) grid.setColStretch(0,0) grid.setColStretch(1,1) grid.setColStretch(2,0) else: grid = qt.QGridLayout(self.__grid) grid.setContentsMargins(11, 11, 11, 11) grid.setSpacing(6) #input list listrow = 0 listlabel = qt.QLabel(self.__grid) listlabel.setText("Input File list:") self.__listView = qt.QTextEdit(self.__grid) self.__listView.setMaximumHeight(30*listlabel.sizeHint().height()) self.__listButton = qt.QPushButton(self.__grid) self.__listButton.setText('Browse') self.__listButton.clicked.connect(self.browseList) grid.addWidget(listlabel, listrow, 0, qt.Qt.AlignTop|qt.Qt.AlignLeft) grid.addWidget(self.__listView, listrow, 1) grid.addWidget(self.__listButton,listrow, 2, qt.Qt.AlignTop|qt.Qt.AlignRight) if HDF5SUPPORT: self._hdf5Widget = HDF5Selection.HDF5Selection(self) grid.addWidget(self._hdf5Widget, listrow+1, 0, 1, 3) row_offset = 1 self._hdf5Widget.hide() else: row_offset = 0 #config file configrow = 1 + row_offset configlabel = qt.QLabel(self.__grid) configlabel.setText("Fit Configuration File:") if QTVERSION < '4.0.0': configlabel.setAlignment(qt.QLabel.WordBreak | qt.QLabel.AlignVCenter) self.__configLine = qt.QLineEdit(self.__grid) self.__configLine.setReadOnly(True) self.__configButton = qt.QPushButton(self.__grid) self.__configButton.setText('Browse') self.__configButton.clicked.connect(self.browseConfig) grid.addWidget(configlabel, configrow, 0, qt.Qt.AlignLeft) grid.addWidget(self.__configLine, configrow, 1) grid.addWidget(self.__configButton, configrow, 2, qt.Qt.AlignLeft) #output dir outrow = 2 + row_offset outlabel = qt.QLabel(self.__grid) outlabel.setText("Output dir:") if QTVERSION < '4.0.0': outlabel.setAlignment(qt.QLabel.WordBreak | qt.QLabel.AlignVCenter) self.__outLine = qt.QLineEdit(self.__grid) self.__outLine.setReadOnly(True) #self.__outLine.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Maximum, qt.QSizePolicy.Fixed)) self.__outButton = qt.QPushButton(self.__grid) self.__outButton.setText('Browse') self.__outButton.clicked.connect(self.browseOutputDir) grid.addWidget(outlabel, outrow, 0, qt.Qt.AlignLeft) grid.addWidget(self.__outLine, outrow, 1) grid.addWidget(self.__outButton, outrow, 2, qt.Qt.AlignLeft) box = qt.QWidget(self) box.l = qt.QHBoxLayout(box) box.l.setContentsMargins(11, 11, 11, 11) box.l.setSpacing(0) vbox1 = qt.QWidget(box) vbox1.l = qt.QVBoxLayout(vbox1) vbox1.l.setContentsMargins(0, 0, 0, 0) vbox1.l.setSpacing(0) box.l.addWidget(vbox1) vbox2 = qt.QWidget(box) vbox2.l = qt.QVBoxLayout(vbox2) vbox2.l.setContentsMargins(0, 0, 0, 0) vbox2.l.setSpacing(0) box.l.addWidget(vbox2) vbox3 = qt.QWidget(box) vbox3.l = qt.QVBoxLayout(vbox3) vbox3.l.setContentsMargins(0, 0, 0, 0) vbox3.l.setSpacing(0) box.l.addWidget(vbox3) self.__fitBox = qt.QCheckBox(vbox1) self.__fitBox.setText('Generate .fit Files') palette = self.__fitBox.palette() #if QTVERSION < '4.0.0': # palette.setDisabled(palette.active()) #else: # print("palette set disabled") self.__fitBox.setChecked(False) self.__fitBox.setEnabled(True) vbox1.l.addWidget(self.__fitBox) self.__imgBox = qt.QCheckBox(vbox2) self.__imgBox.setText('Generate Peak Images') palette = self.__imgBox.palette() if QTVERSION < '4.0.0': palette.setDisabled(palette.active()) else: if DEBUG: print("palette set disabled") self.__imgBox.setChecked(True) self.__imgBox.setEnabled(False) vbox2.l.addWidget(self.__imgBox) """ self.__specBox = qt.QCheckBox(box) self.__specBox.setText('Generate Peak Specfile') palette = self.__specBox.palette() palette.setDisabled(palette.active()) self.__specBox.setChecked(False) self.__specBox.setEnabled(False) """ self.__htmlBox = qt.QCheckBox(vbox3) self.__htmlBox.setText('Generate Report (SLOW!)') #palette = self.__htmlBox.palette() #palette.setDisabled(palette.active()) self.__htmlBox.setChecked(False) self.__htmlBox.setEnabled(True) vbox3.l.addWidget(self.__htmlBox) #report options #reportBox = qt.QHBox(self) self.__tableBox = qt.QCheckBox(vbox1) self.__tableBox.setText('Table in Report') palette = self.__tableBox.palette() #if QTVERSION < '4.0.0': # palette.setDisabled(palette.active()) #else: # print("palette set disabled") self.__tableBox.setChecked(True) self.__tableBox.setEnabled(False) vbox1.l.addWidget(self.__tableBox) self.__extendedTable = qt.QCheckBox(vbox2) self.__extendedTable.setText('Extended Table') self.__extendedTable.setChecked(True) self.__extendedTable.setEnabled(False) vbox2.l.addWidget(self.__extendedTable) self.__concentrationsBox = qt.QCheckBox(vbox3) self.__concentrationsBox.setText('Concentrations') self.__concentrationsBox.setChecked(False) self.__concentrationsBox.setEnabled(True) #self.__concentrationsBox.setEnabled(False) vbox3.l.addWidget(self.__concentrationsBox) self._layout.addWidget(box) # other stuff bigbox = qt.QWidget(self) bigbox.l = qt.QHBoxLayout(bigbox) bigbox.l.setContentsMargins(0, 0, 0, 0) bigbox.l.setSpacing(0) vBox = qt.QWidget(bigbox) vBox.l = qt.QVBoxLayout(vBox) vBox.l.setContentsMargins(0, 0, 0, 0) vBox.l.setSpacing(2) bigbox.l.addWidget(vBox) if 0: #These options are obsolete now self.__overwrite = qt.QCheckBox(vBox) self.__overwrite.setText('Overwrite Fit Files') self.__overwrite.setChecked(True) vBox.l.addWidget(self.__overwrite) self.__useExisting = qt.QCheckBox(vBox) self.__useExisting.setText('Use Existing Fit Files') self.__useExisting.setChecked(False) vBox.l.addWidget(self.__useExisting) self.__overwrite.clicked.connect(self.__clickSignal0) self.__useExisting.clicked.connect(self.__clickSignal1) self.__concentrationsBox.clicked.connect(self.__clickSignal2) self.__htmlBox.clicked.connect(self.__clickSignal3) boxStep0 = qt.QWidget(bigbox) boxStep0.l = qt.QVBoxLayout(boxStep0) boxStep = qt.QWidget(boxStep0) boxStep.l= qt.QHBoxLayout(boxStep) boxStep.l.setContentsMargins(0, 0, 0, 0) boxStep.l.setSpacing(0) boxStep0.l.addWidget(boxStep) bigbox.l.addWidget(boxStep0) if 0: self.__boxFStep = qt.QWidget(boxStep) boxFStep = self.__boxFStep boxFStep.l = qt.QHBoxLayout(boxFStep) boxFStep.l.setContentsMargins(0, 0, 0, 0) boxFStep.l.setSpacing(0) boxStep.l.addWidget(boxFStep) label= qt.QLabel(boxFStep) label.setText("File Step:") self.__fileSpin = qt.QSpinBox(boxFStep) if QTVERSION < '4.0.0': self.__fileSpin.setMinValue(1) self.__fileSpin.setMaxValue(10) else: self.__fileSpin.setMinimum(1) self.__fileSpin.setMaximum(10) self.__fileSpin.setValue(1) boxFStep.l.addWidget(label) boxFStep.l.addWidget(self.__fileSpin) self.__boxMStep = qt.QWidget(boxStep0) boxMStep = self.__boxMStep boxMStep.l = qt.QHBoxLayout(boxMStep) boxMStep.l.setContentsMargins(0, 0, 0, 0) boxMStep.l.setSpacing(0) boxStep0.l.addWidget(boxMStep) label= qt.QLabel(boxMStep) label.setText("MCA Step:") self.__mcaSpin = qt.QSpinBox(boxMStep) if QTVERSION < '4.0.0': self.__mcaSpin.setMinValue(1) self.__mcaSpin.setMaxValue(10) else: self.__mcaSpin.setMinimum(1) self.__mcaSpin.setMaximum(10) self.__mcaSpin.setValue(1) boxMStep.l.addWidget(label) boxMStep.l.addWidget(self.__mcaSpin) #box2 = qt.QHBox(self) self.__roiBox = qt.QCheckBox(vBox) self.__roiBox.setText('ROI Fitting Mode') vBox.l.addWidget(self.__roiBox) #box3 = qt.QHBox(box2) self.__box3 = qt.QWidget(boxStep0) box3 = self.__box3 box3.l = qt.QHBoxLayout(box3) box3.l.setContentsMargins(0, 0, 0, 0) box3.l.setSpacing(0) boxStep0.l.addWidget(box3) label= qt.QLabel(box3) label.setText("ROI Width (eV):") self.__roiSpin = qt.QSpinBox(box3) if QTVERSION < '4.0.0': self.__roiSpin.setMinValue(10) self.__roiSpin.setMaxValue(1000) else: self.__roiSpin.setMinimum(10) self.__roiSpin.setMaximum(1000) self.__roiSpin.setValue(ROIWIDTH) box3.l.addWidget(label) box3.l.addWidget(self.__roiSpin) #BATCH SPLITTING self.__splitBox = qt.QCheckBox(vBox) self.__splitBox.setText('EXPERIMENTAL: Use several processes') vBox.l.addWidget(self.__splitBox) #box3 = qt.QHBox(box2) self.__box4 = qt.QWidget(boxStep0) box4 = self.__box4 box4.l = qt.QHBoxLayout(box4) box4.l.setContentsMargins(0, 0, 0, 0) box4.l.setSpacing(0) boxStep0.l.addWidget(box4) label= qt.QLabel(box4) label.setText("Number of processes:") self.__splitSpin = qt.QSpinBox(box4) if QTVERSION < '4.0.0': self.__splitSpin.setMinValue(1) self.__splitSpin.setMaxValue(1000) else: self.__splitSpin.setMinimum(1) self.__splitSpin.setMaximum(1000) self.__splitSpin.setValue(2) box4.l.addWidget(label) box4.l.addWidget(self.__splitSpin) self._layout.addWidget(bigbox) if actions: self.__buildActions() def __clickSignal0(self): if self.__overwrite.isChecked(): self.__useExisting.setChecked(0) else: self.__useExisting.setChecked(1) def __clickSignal1(self): if self.__useExisting.isChecked(): self.__overwrite.setChecked(0) else: self.__overwrite.setChecked(1) def __clickSignal2(self): #self.__tableBox.setEnabled(True) pass def __clickSignal3(self): if self.__htmlBox.isChecked(): self.__tableBox.setEnabled(True) #self.__concentrationsBox.setEnabled(True) self.__fitBox.setChecked(True) self.__fitBox.setEnabled(False) else: self.__tableBox.setEnabled(False) #self.__concentrationsBox.setEnabled(False) self.__fitBox.setChecked(False) self.__fitBox.setEnabled(True) def __buildActions(self): box = qt.QWidget(self) box.l = qt.QHBoxLayout(box) box.l.addWidget(qt.HorizontalSpacer(box)) self.__dismissButton = qt.QPushButton(box) box.l.addWidget(self.__dismissButton) box.l.addWidget(qt.HorizontalSpacer(box)) self.__dismissButton.setText("Close") self.__startButton = qt.QPushButton(box) box.l.addWidget(self.__startButton) box.l.addWidget(qt.HorizontalSpacer(box)) self.__startButton.setText("Start") self.__dismissButton.clicked.connect(self.close) self.__startButton.clicked.connect(self.start) self._layout.addWidget(box) def close(self): if self._edfSimpleViewer is not None: self._edfSimpleViewer.close() self._edfSimpleViewer = None qt.QWidget.close(self) def setFileList(self,filelist=None): if filelist is None:filelist = [] if True or self.__goodFileList(filelist): text = "" oldtype = None #do not sort the file list #respect user choice #filelist.sort() for file in filelist: filetype = self.__getFileType(file) if filetype is None:return if oldtype is None: oldtype = filetype if oldtype != filetype: qt.QMessageBox.critical(self, "ERROR", "Type %s does not match type %s on\n%s"% (filetype,oldtype,file)) return text += "%s\n" % file if len(filelist): if HDF5SUPPORT: if not h5py.is_hdf5(filelist[0]): self._hdf5Widget.hide() self._selection=None else: dialog = qt.QDialog(self) dialog.setWindowTitle('Select your data set') dialog.mainLayout = qt.QVBoxLayout(dialog) dialog.mainLayout.setContentsMargins(0, 0, 0, 0) dialog.mainLayout.setSpacing(0) datasource = NexusDataSource.NexusDataSource(filelist[0]) nexusWidget = QNexusWidget.QNexusWidget(dialog) nexusWidget.buttons.hide() nexusWidget.setDataSource(datasource) button = qt.QPushButton(dialog) button.setText("Done") button.setAutoDefault(True) button.clicked.connect(dialog.accept) dialog.mainLayout.addWidget(nexusWidget) dialog.mainLayout.addWidget(button) ret = dialog.exec_() cntSelection = nexusWidget.cntTable.getCounterSelection() cntlist = cntSelection['cntlist'] if not len(cntlist): text = "No dataset selection" self.showMessage(text) self.__listView.clear() return if not len(cntSelection['y']): text = "No dataset selected as y" self.showMessage(text) self.__listView.clear() return datasource = None selection = {} selection['x'] = [] selection['y'] = [] selection['m'] = [] for key in ['x', 'y', 'm']: if len(cntSelection[key]): for idx in cntSelection[key]: selection[key].append(cntlist[idx]) self._selection = selection self._hdf5Widget.setSelection(selection) #they are not used yet #self._hdf5Widget.selectionWidgetsDict['x'].hide() #self._hdf5Widget.selectionWidgetsDict['m'].hide() if self._hdf5Widget.isHidden(): self._hdf5Widget.show() elif filelist[0][-3:].lower() in ['.h5', 'nxs', 'hdf', 'hdf5']: text = "Warning, this looks as an HDF5 file " text += "but you do not have HDF5 support." self.showMessage(text) self.fileList = filelist if len(self.fileList): self.inputDir = os.path.dirname(self.fileList[0]) PyMcaDirs.inputDir = os.path.dirname(self.fileList[0]) if QTVERSION < '4.0.0': self.__listView.setText(text) else: self.__listView.clear() self.__listView.insertPlainText(text) def showMessage(self, text): msg = qt.QMessageBox(self) msg.setWindowTitle("PyMcaBatch Message") msg.setIcon(qt.QMessageBox.Information) msg.setText(text) msg.exec_() def setConfigFile(self,configfile=None): if configfile is None:return if self.__goodConfigFile(configfile): self.configFile = configfile if type(configfile) == type([]): #do not sort file list #self.configFile.sort() self.__configLine.setText(self.configFile[0]) self.lastInputDir = os.path.dirname(self.configFile[0]) else: self.__configLine.setText(configfile) self.lastInputDir = os.path.dirname(self.configFile) def setOutputDir(self,outputdir=None): if outputdir is None: return if self.__goodOutputDir(outputdir): self.outputDir = outputdir PyMcaDirs.outputDir = outputdir self.__outLine.setText(outputdir) else: qt.QMessageBox.critical(self, "ERROR", "Cannot use output directory:\n%s"% (outputdir)) def __goodFileList(self,filelist): if not len(filelist): return True for ffile in filelist: if not os.path.exists(ffile): qt.QMessageBox.critical(self, "ERROR", 'File %s\ndoes not exists' % ffile) if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() return False return True def __goodConfigFile(self,configfile0): if type(configfile0) != type([]): configfileList = [configfile0] else: configfileList = configfile0 for configfile in configfileList: if not os.path.exists(configfile): qt.QMessageBox.critical(self, "ERROR",'File %s\ndoes not exists' % configfile) if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() return False elif len(configfile.split()) > 1: if sys.platform != 'win32': qt.QMessageBox.critical(self, "ERROR",'Configuration File:\n %s\ncontains spaces in the path' % configfile) if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() return False return True def __goodOutputDir(self,outputdir): if not os.path.isdir(outputdir): return False elif len(outputdir.split()) > 1: if sys.platform != 'win32': qt.QMessageBox.critical(self, "ERROR", 'Output Directory:\n %s\ncontains spaces in the path' % outputdir) if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() return False return True def __getFileType(self,inputfile): try: ffile = None try: ffile = EdfFileLayer.EdfFileLayer(fastedf=0) ffile.SetSource(inputfile) fileinfo = ffile.GetSourceInfo() if fileinfo['KeyList'] == []:ffile=None return "EdfFile" except: pass if (ffile is None): ffile = SpecFileLayer.SpecFileLayer() ffile.SetSource(inputfile) del ffile return "Specfile" except: qt.QMessageBox.critical(self, sys.exc_info()[0], 'I do not know what to do with file\n %s' % ffile) if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() return None def browseList(self): self.inputDir = PyMcaDirs.inputDir if not os.path.exists(self.inputDir): self.inputDir = os.getcwd() wdir = self.inputDir filedialog = qt.QFileDialog(self) filedialog.setWindowTitle("Open a set of files") filedialog.setDirectory(wdir) filedialog.setModal(1) filedialog.setFileMode(filedialog.ExistingFiles) filetypes = "McaFiles (*.mca)\nEdfFiles (*.edf)\n" if HDF5SUPPORT: filetypes += "HDF5 (*.nxs *.h5 *.hdf *.hdf5)\n" filetypes += "SpecFiles (*.spec)\nSpecFiles (*.dat)\nAll files (*)" #if (QTVERSION < '4.3.0') and sys.platform == "win32": if False and PyMcaDirs.nativeFileDialogs: #windows file dialogs have difficulties when dealing with #thousands of files, I do not know if other platforms too try: # API 1 filelist = qt.QFileDialog.getOpenFileNames(self, "Open a set of files", wdir, filetypes, None) #This should be the last file filter used except: # API 2 filelist, andFilter = \ qt.QFileDialog.getOpenFileNamesAndFilter(self, "Open a set of files", wdir, filetypes, None) #This should be the last file filter used else: if hasattr(filedialog, "setFilters"): filedialog.setFilters(filetypes.split("\n")) else: filedialog.setNameFilters(filetypes.split("\n")) ret = filedialog.exec_() if ret == qt.QDialog.Accepted: filelist=filedialog.selectedFiles() else: self.raise_() return if len(filelist): filelist = [qt.safe_str(x) for x in filelist] self.setFileList(filelist) self.raise_() def browseConfig(self): self.inputDir = PyMcaDirs.inputDir if not os.path.exists(self.inputDir): self.inputDir = os.getcwd() wdir = self.inputDir if QTVERSION < '4.0.0': filename = qt.QFileDialog(self,"Open a new fit config file",1) filename.setMode(filename.ExistingFiles) filename.setDir(wdir) else: filename = qt.QFileDialog(self) filename.setWindowTitle("Open a new fit config file") filename.setModal(1) filename.setFileMode(filename.ExistingFiles) filename.setDirectory(wdir) filetypes = "Config Files (*.cfg)\nAll files (*)" if PyMcaDirs.nativeFileDialogs: try: # API 1 filenameList = qt.QFileDialog.getOpenFileNames(self, "Open a new fit config file", wdir, filetypes, None) #This should be the filter used except: # API 2 filenameList, andFilter = \ qt.QFileDialog.getOpenFileNamesAndFilter(self, "Open a new fit config file", wdir, filetypes, None) #This should be the filter used else: if hasattr(filename, "setFilters"): filename.setFilters(["Config Files (*.cfg)", "All files (*)"]) else: filename.setNameFilters(["Config Files (*.cfg)", "All files (*)"]) ret = filename.exec_() if ret == qt.QDialog.Accepted: filenameList = filename.selectedFiles() else: self.raise_() return filename = [] for f in filenameList: filename.append(qt.safe_str(f)) if len(filename) == 1: self.setConfigFile(qt.safe_str(filename[0])) elif len(filenameList): self.setConfigFile(filename) if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() def browseOutputDir(self): self.outputDir = PyMcaDirs.outputDir if not os.path.exists(self.outputDir): self.outputDir = os.getcwd() wdir = self.outputDir if QTVERSION < '4.0.0': outfile = qt.QFileDialog(self,"Output Directory Selection",1) outfile.setMode(outfile.DirectoryOnly) outfile.setDir(wdir) ret = outfile.exec_loop() else: outfile = qt.QFileDialog(self) outfile.setWindowTitle("Output Directory Selection") outfile.setModal(1) outfile.setDirectory(wdir) outfile.setFileMode(outfile.DirectoryOnly) ret = outfile.exec_() if ret: if QTVERSION < '4.0.0': outdir=qt.safe_str(outfile.selectedFile()) else: outdir=qt.safe_str(outfile.selectedFiles()[0]) outfile.close() del outfile self.setOutputDir(outdir) else: outfile.close() del outfile if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() def start(self): if not len(self.fileList): qt.QMessageBox.critical(self, "ERROR",'Empty file list') self.raise_() return if self.__splitBox.isChecked(): if sys.platform == 'darwin': if ".app" in os.path.dirname(__file__): text = 'Multiple processes only supported on MacOS X when built from source\n' text += 'and not when running the frozen binary.' qt.QMessageBox.critical(self, "ERROR",text) self.raise_() return if len(self.fileList) == 1: if int(qt.safe_str(self.__splitSpin.text())) > 1: allowSingleFileSplitProcesses = False if HDF5SUPPORT: if h5py.is_hdf5(self.fileList[0]): if DEBUG: print("Disallow single HDF5 process split") print("due to problems with concurrent access") #allowSingleFileSplitProcesses = True allowSingleFileSplitProcesses = False if not allowSingleFileSplitProcesses: text = "Multiple processes can only be used with multiple input files." qt.QMessageBox.critical(self, "ERROR",text) self.raise_() return if (self.configFile is None) or (not self.__goodConfigFile(self.configFile)): qt.QMessageBox.critical(self, "ERROR",'Invalid fit configuration file') self.raise_() return if type(self.configFile) == type([]): if len(self.configFile) != len(self.fileList): qt.QMessageBox.critical(self, "ERROR", 'Number of config files should be either one or equal to number of files') self.raise_() return if (self.outputDir is None) or (not self.__goodOutputDir(self.outputDir)): qt.QMessageBox.critical(self, "ERROR",'Invalid output directory') self.raise_() return name = "Batch from %s to %s " % (os.path.basename(self.fileList[ 0]), os.path.basename(self.fileList[-1])) roifit = self.__roiBox.isChecked() html = self.__htmlBox.isChecked() #if html: concentrations = self.__concentrationsBox.isChecked() #else: # concentrations = 0 if self.__tableBox.isChecked(): if self.__extendedTable.isChecked(): table = 2 else: table = 1 else: table =0 #htmlindex = qt.safe_str(self.__htmlIndex.text()) htmlindex = "index.html" if html: if len(htmlindex)<5: htmlindex+=".html" if len(htmlindex) == 5: htmlindex = "index.html" if htmlindex[-5:] != "html": htmlindex+=".html" roiwidth = float(qt.safe_str(self.__roiSpin.text())) if 0: overwrite= self.__overwrite.isChecked() filestep = int(qt.safe_str(self.__fileSpin.text())) mcastep = int(qt.safe_str(self.__mcaSpin.text())) else: overwrite= 1 filestep = 1 mcastep = 1 if len(self.fileList) == 1: if self.__splitBox.isChecked(): nbatches = int(qt.safe_str(self.__splitSpin.text())) mcastep = nbatches fitfiles = self.__fitBox.isChecked() selection = self._selection if selection is None: selectionFlag = False else: selectionFlag = True if self._edfSimpleViewer is not None: self._edfSimpleViewer.close() self._edfSimpleViewer = None if roifit: window = McaBatchWindow(name="ROI"+name,actions=1, outputdir=self.outputDir, html=html, htmlindex=htmlindex, table = 0) b = McaBatch(window,self.configFile,self.fileList,self.outputDir,roifit=roifit, roiwidth=roiwidth,overwrite=overwrite,filestep=1,mcastep=1, concentrations=0, fitfiles=fitfiles, selection=selection) def cleanup(): b.pleasePause = 0 b.pleaseBreak = 1 b.wait() qApp = qt.QApplication.instance() qApp.processEvents() def pause(): if b.pleasePause: b.pleasePause=0 window.pauseButton.setText("Pause") else: b.pleasePause=1 window.pauseButton.setText("Continue") window.pauseButton.clicked.connect(pause) window.abortButton.clicked.connect(window.close) qApp = qt.QApplication.instance() qApp.aboutToQuit[()].connect(cleanup) self.__window = window self.__b = b window.show() b.start() elif (sys.platform == 'darwin') and\ ((".app" in os.path.dirname(__file__)) or (not self.__splitBox.isChecked())): #almost identical to batch window = McaBatchWindow(name="ROI"+name,actions=1,outputdir=self.outputDir, html=html,htmlindex=htmlindex, table = table) b = McaBatch(window,self.configFile,self.fileList,self.outputDir,roifit=roifit, roiwidth=roiwidth,overwrite=overwrite,filestep=filestep, mcastep=mcastep, concentrations=concentrations, fitfiles=fitfiles, selection=selection) def cleanup(): b.pleasePause = 0 b.pleaseBreak = 1 b.wait() qApp = qt.QApplication.instance() qApp.processEvents() def pause(): if b.pleasePause: b.pleasePause=0 window.pauseButton.setText("Pause") else: b.pleasePause=1 window.pauseButton.setText("Continue") window.pauseButton.clicked.connect(pause) window.abortButton.clicked.connect(window.close) qApp = qt.QApplication.instance() qApp.aboutToQuit[()].connect(cleanup) window._rootname = "%s"% b._rootname self.__window = window self.__b = b window.show() b.start() elif sys.platform == 'win32': try: dirname = os.path.dirname(__file__) frozen = False if not os.path.exists(os.path.join(dirname, "PyMcaBatch.py")): # script usage case dirname = os.path.dirname(EdfFileSimpleViewer.__file__) except: # __file__ is not defined dirname = os.path.dirname(EdfFileSimpleViewer.__file__) frozen = True if os.path.basename(sys.executable) in ["PyMcaMain.exe", "PyMcaBatch.exe"]: frozen = True dirname = os.path.dirname(EdfFileSimpleViewer.__file__) listfile = os.path.join(self.outputDir, "tmpfile") self.genListFile(listfile, config=False) if frozen: # we are at level PyMca5\PyMcaGui\pymca dirname = os.path.dirname(dirname) # level PyMcaGui dirname = os.path.dirname(dirname) # level PyMca5 dirname = os.path.dirname(dirname) # directory level with exe files myself = os.path.join(dirname, "PyMcaBatch.exe") viewer = os.path.join(dirname, "EdfFileSimpleViewer.exe") rgb = os.path.join(dirname, "PyMcaPostBatch.exe") if not os.path.exists(viewer): viewer = None if not os.path.exists(rgb): rgb = None else: myself = os.path.join(dirname, "PyMcaBatch.py") viewer = os.path.join(dirname, "EdfFileSimpleViewer.py") rgb = os.path.join(dirname, "PyMcaPostBatch.py") if not os.path.exists(viewer): viewer = None else: viewer = '%s "%s"' % (sys.executable, viewer) if not os.path.exists(rgb): rgb = None else: rgb = '%s "%s"' % (sys.executable, rgb) self._rgb = rgb if type(self.configFile) == type([]): cfglistfile = os.path.join(self.outputDir, "tmpfile.cfg") self.genListFile(cfglistfile, config=True) dirname = os.path.dirname(dirname) if frozen: cmd = '"%s" --cfglistfile="%s" --outdir="%s" --overwrite=%d --filestep=%d --mcastep=%d --html=%d --htmlindex=%s --listfile="%s" --concentrations=%d --table=%d --fitfiles=%d --selection=%d' %\ (myself, cfglistfile, self.outputDir, overwrite, filestep, mcastep, html,htmlindex, listfile,concentrations, table, fitfiles, selectionFlag) else: cmd = '%s "%s" --cfglistfile="%s" --outdir="%s" --overwrite=%d --filestep=%d --mcastep=%d --html=%d --htmlindex=%s --listfile="%s" --concentrations=%d --table=%d --fitfiles=%d --selection=%d' %\ (sys.executable,myself, cfglistfile, self.outputDir, overwrite, filestep, mcastep, html,htmlindex, listfile,concentrations, table, fitfiles, selectionFlag) else: if not frozen: cmd = '%s "%s" --cfg="%s" --outdir="%s" --overwrite=%d --filestep=%d --mcastep=%d --html=%d --htmlindex=%s --listfile="%s" --concentrations=%d --table=%d --fitfiles=%d --selection=%d' % \ (sys.executable, myself, self.configFile, self.outputDir, overwrite, filestep, mcastep, html,htmlindex, listfile,concentrations, table, fitfiles, selectionFlag) else: cmd = '"%s" --cfg="%s" --outdir="%s" --overwrite=%d --filestep=%d --mcastep=%d --html=%d --htmlindex=%s --listfile="%s" --concentrations=%d --table=%d --fitfiles=%d --selection=%d' % \ (myself, self.configFile, self.outputDir, overwrite, filestep, mcastep, html,htmlindex, listfile,concentrations, table, fitfiles, selectionFlag) self.hide() qApp = qt.QApplication.instance() qApp.processEvents() if DEBUG: print("cmd = %s" % cmd) if self.__splitBox.isChecked(): nbatches = int(qt.safe_str(self.__splitSpin.text())) if len(self.fileList) > 1: filechunk = int(len(self.fileList)/nbatches) processList = [] for i in range(nbatches): beginoffset = filechunk * i endoffset = len(self.fileList) - filechunk * (i+1) if (i+1) == nbatches:endoffset = 0 cmd1 = cmd + " --filebeginoffset=%d --fileendoffset=%d --chunk=%d" % \ (beginoffset, endoffset, i) try: processList.append(subprocess.Popen(cmd1, cwd=os.getcwd())) except UnicodeEncodeError: processList.append(\ subprocess.Popen(cmd1.encode(sys.getfilesystemencoding()), cwd=os.getcwd())) if DEBUG: print("cmd = %s" % cmd1) else: #f = open("CMD", 'wb') processList = [] for i in range(nbatches): #the mcastep has been dealt with above cmd1 = cmd + " --mcaoffset=%d --chunk=%d" % (i, i) processList.append(subprocess.Popen(cmd1, cwd=os.getcwd())) if DEBUG: print("CMD = %s" % cmd1) #f.write(cmd1+"\n") #f.close() self._processList = processList if self._timer is None: self._timer = qt.QTimer(self) self._timer.timeout[()].connect(self._pollProcessList) if not self._timer.isActive(): self._timer.start(1000) else: print("timer was already active") return else: try: subprocess.call(cmd) except UnicodeEncodeError: try: subprocess.call(cmd.encode(sys.getfilesystemencoding())) except: # be ready for any weird error like missing that encoding try: subprocess.call(cmd.encode('utf-8')) except UnicodeEncodeError: subprocess.call(cmd.encode('latin-1')) self.show() else: listfile = os.path.join(self.outputDir, "tmpfile") self.genListFile(listfile, config=False) try: dirname = os.path.dirname(__file__) frozen = False if not os.path.exists(os.path.join(dirname, "PyMcaBatch.py")): # script usage case dirname = os.path.dirname(EdfFileSimpleViewer.__file__) except: # __file__ is not defined dirname = os.path.dirname(EdfFileSimpleViewer.__file__) frozen = True if not frozen: if os.path.basename(sys.executable) in ["PyMcaMain.exe", "PyMcaBatch.exe", "PyMcaMain", "PyMcaBatch"]: frozen = True dirname = os.path.dirname(EdfFileSimpleViewer.__file__) if frozen: # we are at level PyMca5\PyMcaGui\pymca dirname = os.path.dirname(dirname) # level PyMcaGui dirname = os.path.dirname(dirname) # level PyMca5 dirname = os.path.dirname(dirname) # directory level with exe files myself = os.path.join(dirname, "PyMcaBatch") viewer = os.path.join(dirname, "EdfFileSimpleViewer") rgb = os.path.join(dirname, "PyMcaPostBatch") if not os.path.exists(viewer): viewer = None if not os.path.exists(rgb): rgb = None else: myself = os.path.join(dirname, "PyMcaBatch.py") if not os.path.exists(os.path.join(dirname, myself)): dirname = os.path.dirname(EdfFileSimpleViewer.__file__) if not os.path.exists(os.path.join(dirname, myself)): text = 'Cannot locate PyMcaBatch.py file.\n' qt.QMessageBox.critical(self, "ERROR",text) self.raise_() return myself = sys.executable+" "+ os.path.join(dirname, myself) viewer = os.path.join(dirname, "EdfFileSimpleViewer.py") rgb = os.path.join(dirname, "PyMcaPostBatch.py") if not os.path.exists(viewer): viewer = None else: viewer = '%s "%s"' % (sys.executable, viewer) if not os.path.exists(rgb): rgb = None else: rgb = '%s "%s"' % (sys.executable, rgb) self._rgb = rgb if type(self.configFile) == type([]): cfglistfile = os.path.join(self.outputDir, "tmpfile.cfg") self.genListFile(cfglistfile, config=True) cmd = "%s --cfglistfile=%s --outdir=%s --overwrite=%d --filestep=%d --mcastep=%d --html=%d --htmlindex=%s --listfile=%s --concentrations=%d --table=%d --fitfiles=%d --selection=%d &" % \ (myself, cfglistfile, self.outputDir, overwrite, filestep, mcastep, html, htmlindex, listfile, concentrations, table, fitfiles, selectionFlag) else: cmd = "%s --cfg=%s --outdir=%s --overwrite=%d --filestep=%d --mcastep=%d --html=%d --htmlindex=%s --listfile=%s --concentrations=%d --table=%d --fitfiles=%d --selection=%d &" % \ (myself, self.configFile, self.outputDir, overwrite, filestep, mcastep, html, htmlindex, listfile, concentrations, table, fitfiles, selectionFlag) if DEBUG: print("cmd = %s" % cmd) if self.__splitBox.isChecked(): qApp = qt.QApplication.instance() qApp.processEvents() nbatches = int(qt.safe_str(self.__splitSpin.text())) filechunk = int(len(self.fileList)/nbatches) processList = [] for i in range(nbatches): beginoffset = filechunk * i endoffset = len(self.fileList) - filechunk * (i+1) if (i+1) == nbatches:endoffset = 0 cmd1 = cmd.replace("&", "") + \ " --filebeginoffset=%d --fileendoffset=%d --chunk=%d" % \ (beginoffset, endoffset, i) # unfortunately I have to set shell = True # otherways I get a file not found error in the # child process processList.append(\ subprocess.Popen(cmd1, cwd=os.getcwd(), shell=True, close_fds=True)) self._processList = processList self.hide() self._pollProcessList() if self._timer is None: self._timer = qt.QTimer(self) self._timer.timeout[()].connect( \ self._pollProcessList) if not self._timer.isActive(): self._timer.start(1000) else: print("timer was already active") return else: os.system(cmd) print(" COMMAND = ", cmd) msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Information) text = "Your batch has been started as an independent process." msg.setText(text) msg.exec_() def genListFile(self, listfile, config=None): if os.path.exists(listfile): try: os.remove(listfile) except: print("Cannot delete file %s" % listfile) raise if config is None: lst = self.fileList elif config: lst = self.configFile else: lst = self.fileList if lst == self.fileList: if self._selection is not None: ddict = ConfigDict.ConfigDict() ddict['PyMcaBatch'] = {} ddict['PyMcaBatch']['filelist'] = lst ddict['PyMcaBatch']['selection'] = self._selection ddict.write(listfile) return fd=open(listfile, 'wb') for filename in lst: # only the file system encoding makes sense here fd.write(('%s\n' % filename).encode(sys.getfilesystemencoding())) fd.close() def _pollProcessList(self): processList = self._processList rgb = self._rgb if QTVERSION < '4.0.0':rgb = None n = 0 for process in processList: if process.poll() is None: n += 1 if n > 0: return self._timer.stop() self.show() if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() work = PyMcaBatchBuildOutput.PyMcaBatchBuildOutput(os.path.join(self.outputDir, "IMAGES")) if DEBUG: a, b, c = work.buildOutput(delete=False) else: a, b, c = work.buildOutput(delete=True) if len(a): if self._edfSimpleViewer is None: self._edfSimpleViewer = EdfFileSimpleViewer.EdfFileSimpleViewer() self._edfSimpleViewer.setFileList(a) self._edfSimpleViewer.show() if rgb is not None: if len(b): if sys.platform == "win32": try: subprocess.Popen('%s "%s"' % (rgb, b[0]), cwd = os.getcwd()) except UnicodeEncodeError: subprocess.Popen(('%s "%s"' % (rgb, b[0])).encode(sys.getfilesystemencoding()), cwd = os.getcwd()) else: os.system("%s %s &" % (rgb, b[0])) work = PyMcaBatchBuildOutput.PyMcaBatchBuildOutput(self.outputDir) if DEBUG: work.buildOutput(delete=False) else: work.buildOutput(delete=True) class McaBatch(McaAdvancedFitBatch.McaAdvancedFitBatch, qt.QThread): def __init__(self, parent, configfile, filelist=None, outputdir = None, roifit = None, roiwidth=None, overwrite=1, filestep=1, mcastep=1, concentrations=0, fitfiles=0, filebeginoffset=0, fileendoffset=0, mcaoffset=0, chunk=None, selection=None, lock=None): McaAdvancedFitBatch.McaAdvancedFitBatch.__init__(self, configfile, filelist=filelist, outputdir=outputdir, roifit=roifit, roiwidth=roiwidth, overwrite=overwrite, filestep=filestep, mcastep=mcastep, concentrations=concentrations, fitfiles=fitfiles, filebeginoffset = filebeginoffset, fileendoffset = fileendoffset, mcaoffset = mcaoffset, chunk=chunk, selection=selection, lock=lock) qt.QThread.__init__(self) self.parent = parent self.pleasePause = 0 def run(self): self.processList() def onNewFile(self, ffile, filelist): self.__lastOnNewFile = ffile ddict = {'file':ffile, 'filelist':filelist, 'filestep':self.fileStep, 'filebeginoffset':self.fileBeginOffset, 'fileendoffset':self.fileEndOffset, 'event':'onNewFile'} if QTVERSION < '4.0.0': self.postEvent(self.parent, McaCustomEvent.McaCustomEvent(ddict)) else: qt.QApplication.postEvent(self.parent, McaCustomEvent.McaCustomEvent(ddict)) if self.pleasePause:self.__pauseMethod() def onImage(self, key, keylist): ddict = {'key':key, 'keylist':keylist, 'event':'onImage'} if QTVERSION < '4.0.0': self.postEvent(self.parent, McaCustomEvent.McaCustomEvent(ddict)) else: qt.QApplication.postEvent(self.parent, McaCustomEvent.McaCustomEvent(ddict)) def onMca(self, mca, nmca, filename=None, key=None, info=None): if DEBUG: print("onMca key = %s" % key) ddict = {'mca':mca, 'nmca':nmca, 'mcastep':self.mcaStep, 'filename':filename, 'key':key, 'info':info, 'outputdir':self._outputdir, 'useExistingFiles':self.useExistingFiles, 'roifit':self.roiFit, 'event':'onMca'} if QTVERSION < '4.0.0': self.postEvent(self.parent, McaCustomEvent.McaCustomEvent(ddict)) else: qt.QApplication.postEvent(self.parent, McaCustomEvent.McaCustomEvent(ddict)) if self.pleasePause:self.__pauseMethod() def onEnd(self): if DEBUG: print("onEnd") ddict = {'event':'onEnd', 'filestep':self.fileStep, 'mcastep':self.mcaStep, 'chunk':self.chunk, 'savedimages':self.savedImages} if QTVERSION < '4.0.0': self.postEvent(self.parent, McaCustomEvent.McaCustomEvent(ddict)) else: qt.QApplication.postEvent(self.parent, McaCustomEvent.McaCustomEvent(ddict)) if self.pleasePause: self.__pauseMethod() def __pauseMethod(self): if QTVERSION < '4.0.0': self.postEvent(self.parent, McaCustomEvent.McaCustomEvent({'event':'batchPaused'})) else: qt.QApplication.postEvent(self.parent, McaCustomEvent.McaCustomEvent({'event':'batchPaused'})) while(self.pleasePause): time.sleep(1) if QTVERSION < '4.0.0': self.postEvent(self.parent, McaCustomEvent.McaCustomEvent({'event':'batchResumed'})) else: qt.QApplication.postEvent(self.parent, McaCustomEvent.McaCustomEvent({'event':'batchResumed'})) class McaBatchWindow(qt.QWidget): def __init__(self,parent=None, name="BatchWindow", fl=0, actions = 0, outputdir=None, html=0, htmlindex = None, table=2, chunk=None, exitonend=False): if QTVERSION < '4.0.0': qt.QWidget.__init__(self, parent, name, fl) self.setCaption(name) else: qt.QWidget.__init__(self, parent) self.setWindowTitle(name) self.chunk = chunk self.exitonend = exitonend self.l = qt.QVBoxLayout(self) #self.l.setAutoAdd(1) self.bars =qt.QWidget(self) self.l.addWidget(self.bars) if QTVERSION < '4.0.0': self.barsLayout = qt.QGridLayout(self.bars,2,3) else: self.barsLayout = qt.QGridLayout(self.bars) self.barsLayout.setContentsMargins(2, 2, 2, 2) self.barsLayout.setSpacing(3) self.progressBar = qt.QProgressBar(self.bars) self.progressLabel = qt.QLabel(self.bars) self.progressLabel.setText('File Progress:') self.imageBar = qt.QProgressBar(self.bars) self.imageLabel = qt.QLabel(self.bars) self.imageLabel.setText('Image in File:') self.mcaBar = qt.QProgressBar(self.bars) self.mcaLabel = qt.QLabel(self.bars) self.mcaLabel.setText('MCA in Image:') self.barsLayout.addWidget(self.progressLabel,0,0) self.barsLayout.addWidget(self.progressBar,0,1) self.barsLayout.addWidget(self.imageLabel,1,0) self.barsLayout.addWidget(self.imageBar,1,1) self.barsLayout.addWidget(self.mcaLabel,2,0) self.barsLayout.addWidget(self.mcaBar,2,1) self.status = qt.QLabel(self) self.status.setText(" ") self.timeLeft = qt.QLabel(self) self.l.addWidget(self.status) self.l.addWidget(self.timeLeft) self.timeLeft.setText("Estimated time left = ???? min") self.time0 = None self.html = html if htmlindex is None:htmlindex="index.html" self.htmlindex = htmlindex self.outputdir = outputdir self.table = table self.__ended = False self.__writingReport = False if actions: self.addButtons() self.show() if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() def addButtons(self): self.actions = 1 self.buttonsBox = qt.QWidget(self) l = qt.QHBoxLayout(self.buttonsBox) l.addWidget(qt.HorizontalSpacer(self.buttonsBox)) self.pauseButton = qt.QPushButton(self.buttonsBox) l.addWidget(self.pauseButton) l.addWidget(qt.HorizontalSpacer(self.buttonsBox)) self.pauseButton.setText("Pause") self.abortButton = qt.QPushButton(self.buttonsBox) l.addWidget(self.abortButton) l.addWidget(qt.HorizontalSpacer(self.buttonsBox)) self.abortButton.setText("Abort") self.l.addWidget(self.buttonsBox) self.update() def customEvent(self,event): if event.dict['event'] == 'onNewFile':self.onNewFile(event.dict['file'], event.dict['filelist'], event.dict['filestep'], event.dict['filebeginoffset'], event.dict['fileendoffset']) elif event.dict['event'] == 'onImage': self.onImage (event.dict['key'], event.dict['keylist']) elif event.dict['event'] == 'onMca': self.onMca (event.dict) #event.dict['mca'], #event.dict['nmca'], #event.dict['mcastep'], #event.dict['filename'], #event.dict['key']) elif event.dict['event'] == 'onEnd': self.onEnd(event.dict) elif event.dict['event'] == 'batchPaused': self.onPause() elif event.dict['event'] == 'batchResumed':self.onResume() elif event.dict['event'] == 'reportWritten':self.onReportWritten() else: print("Unhandled event %s" % event) def onNewFile(self, file, filelist, filestep, filebeginoffset =0, fileendoffset = 0): if DEBUG: print("onNewFile: %s" % file) indexlist = list(range(0,len(filelist),filestep)) index = indexlist.index(filelist.index(file)) - filebeginoffset #print index + filebeginoffset if index == 0: self.report= None if self.html: self.htmlindex = os.path.join(self.outputdir, 'HTML') htmlindex = os.path.join(os.path.basename(file)+"_HTMLDIR", "index.html") self.htmlindex = os.path.join(self.htmlindex,htmlindex) if os.path.exists(self.htmlindex): try: os.remove(self.htmlindex) except: print("cannot delete file %s" % self.htmlindex) nfiles = len(indexlist)-filebeginoffset-fileendoffset self.status.setText("Processing file %s" % file) e = time.time() if QTVERSION < '4.0.0': self.progressBar.setTotalSteps(nfiles) self.progressBar.setProgress(index) else: self.progressBar.setMaximum(nfiles) self.progressBar.setValue(index) if self.time0 is not None: t = (e - self.time0) * (nfiles - index) self.time0 =e if t < 120: self.timeLeft.setText("Estimated time left = %d sec" % (t)) else: self.timeLeft.setText("Estimated time left = %d min" % (int(t / 60.))) else: self.time0 = e if sys.platform == 'darwin': qApp = qt.QApplication.instance() qApp.processEvents() def onImage(self,key,keylist): if DEBUG: print("onImage %s" % key) i = keylist.index(key) + 1 n = len(keylist) if QTVERSION < '4.0.0': self.imageBar.setTotalSteps(n) self.imageBar.setProgress(i) self.mcaBar.setTotalSteps(1) self.mcaBar.setProgress(0) else: self.imageBar.setMaximum(n) self.imageBar.setValue(i) self.mcaBar.setMaximum(1) self.mcaBar.setValue(0) #def onMca(self, mca, nmca, mcastep): def onMca(self, ddict): if DEBUG: print("onMca ", ddict['mca']) mca = ddict['mca'] nmca = ddict['nmca'] mcastep = ddict['mcastep'] filename = ddict['filename'] key = ddict['key'] info = ddict['info'] outputdir = ddict['outputdir'] useExistingFiles = ddict['useExistingFiles'] self.roiFit = ddict['roifit'] if self.html: try: if not self.roiFit: if mca == 0: self.__htmlReport(filename, key, outputdir, useExistingFiles, info, firstmca = True) else: self.__htmlReport(filename, key, outputdir, useExistingFiles, info, firstmca = False) except: print("ERROR on REPORT",sys.exc_info()) print(sys.exc_info()[1]) print("filename = %s key =%s " % (filename, key)) print("If your batch is stopped, please report this") print("error sending the above mentioned file and the") print("associated fit configuration file.") if QTVERSION < '4.0.0': self.mcaBar.setTotalSteps(nmca) self.mcaBar.setProgress(mca) else: self.mcaBar.setMaximum(nmca) self.mcaBar.setValue(mca) if sys.platform == 'darwin': qApp = qt.QApplication.instance() qApp.processEvents() def __htmlReport(self, filename, key, outputdir, useExistingFiles, info=None, firstmca = True): """ file=self.file fileinfo = file.GetSourceInfo() nimages = nscans = len(fileinfo['KeyList']) filename = os.path.basename(info['SourceName']) """ fitdir = os.path.join(outputdir,"HTML") if not os.path.exists(fitdir): try: os.mkdir(fitdir) except: print("I could not create directory %s" % fitdir) return fitdir = os.path.join(fitdir,filename+"_HTMLDIR") if not os.path.exists(fitdir): try: os.mkdir(fitdir) except: print("I could not create directory %s" % fitdir) return localindex = os.path.join(fitdir, "index.html") if not os.path.isdir(fitdir): print("%s does not seem to be a valid directory" % fitdir) else: outfile = filename +"_"+key+".html" outfile = os.path.join(fitdir, outfile) useExistingResult = useExistingFiles if os.path.exists(outfile): if not useExistingFiles: try: os.remove(outfile) except: print("cannot delete file %s" % outfile) useExistingResult = 0 else: useExistingResult = 0 outdir = fitdir fitdir = os.path.join(outputdir,"FIT") fitdir = os.path.join(fitdir,filename+"_FITDIR") fitfile= os.path.join(fitdir, filename +"_"+key+".fit") if not os.path.exists(fitfile): print("fit file %s does not exists!" % fitfile) return if self.report is None: #first file self.forcereport = 0 self._concentrationsFile = os.path.join(outputdir, self._rootname + "_concentrations.txt") if os.path.exists(self._concentrationsFile): """ #code removed, concentrations in McaAdvancedFitBatch.py try: os.remove(self._concentrationsFile) except: pass """ pass else: #this is to generate the concentrations file #from an already existing set of fitfiles self.forcereport = 1 if self.forcereport or (not useExistingResult): self.report = QtMcaAdvancedFitReport.QtMcaAdvancedFitReport(fitfile = fitfile, outfile = outfile, table = self.table) self.__writingReport = True a=self.report.writeReport() """ #The code below has been moved to McaAdvancedFitBatch.py if len(self.report._concentrationsTextASCII) > 1: text = "" text += "SOURCE: "+ filename +"\n" text += "KEY: "+key+"\n" text += self.report._concentrationsTextASCII + "\n" f=open(self._concentrationsFile,"a") f.write(text) f.close() """ self.__writingReport = False #qt.QApplication.postEvent(self, McaCustomEvent.McaCustomEvent({'event':'reportWritten'})) self.onReportWritten() def onEnd(self,dict): self.__ended = True if QTVERSION < '4.0.0': n = self.progressBar.progress() self.progressBar.setProgress(n+dict['filestep']) n = self.mcaBar.progress() self.mcaBar.setProgress(n+dict['mcastep']) else: n = self.progressBar.value() self.progressBar.setValue(n+dict['filestep']) n = self.mcaBar.value() self.mcaBar.setValue(n+dict['mcastep']) self.status.setText ("Batch Finished") self.timeLeft.setText("Estimated time left = 0 sec") if self.actions: self.pauseButton.hide() self.abortButton.setText("OK") if self.chunk is None: if 'savedimages' in dict: self.plotImages(dict['savedimages']) if self.html: if not self.__writingReport: directory = os.path.join(self.outputdir,"HTML") a = HtmlIndex.HtmlIndex(directory) a.buildRecursiveIndex() if dict['chunk'] is not None: if 0: #this was giving troubles using HDF5 files as input sys.exit(0) else: #this seems to work properly self.close() if self.exitonend: app = qt.QApplication.instance() app.quit() def onReportWritten(self): if self.__ended: directory = os.path.join(self.outputdir,"HTML") a = HtmlIndex.HtmlIndex(directory) a.buildRecursiveIndex() def onPause(self): pass def onResume(self): pass def plotImages(self,imagelist): if (sys.platform == 'win32') or (sys.platform == 'darwin'): self.__viewer = EdfFileSimpleViewer.EdfFileSimpleViewer() self.__viewer.setFileList(imagelist) self.__viewer.show() else: filelist = " " for ffile in imagelist: filelist+=" %s" % ffile try: dirname = os.path.dirname(__file__) frozen = False except: frozen = True dirname = os.path.dirname(EdfFileSimpleViewer.__file__) if not frozen: if sys.executable in ["PyMcaMain", "PyMcaMain.exe", "PyMcaBatch", "PyMcaBatch.exe"]: frozen = True if DEBUG: print("final dirname = %s" % dirname) if frozen: # we are at level PyMca5\PyMcaGui\pymca dirname = os.path.dirname(dirname) # level PyMcaGui dirname = os.path.dirname(dirname) # level PyMca5 dirname = os.path.dirname(dirname) # directory level with exe files myself = os.path.join(dirname, "EdfFileSimpleViewer") else: myself = sys.executable+" "+os.path.join(dirname, "EdfFileSimpleViewer.py") cmd = "%s %s &" % (myself, filelist) if DEBUG: print("cmd = %s" % cmd) os.system(cmd) def main(): sys.excepthook = qt.exceptionHandler import getopt options = 'f' longoptions = ['cfg=','outdir=','roifit=','roi=','roiwidth=', 'overwrite=', 'filestep=', 'mcastep=', 'html=','htmlindex=', 'listfile=','cfglistfile=', 'concentrations=', 'table=', 'fitfiles=', 'filebeginoffset=','fileendoffset=','mcaoffset=', 'chunk=', 'nativefiledialogs=','selection=', 'exitonend='] filelist = None outdir = None cfg = None listfile = None cfglistfile = None selection = False roifit = 0 roiwidth = ROIWIDTH overwrite= 1 filestep = 1 html = 0 htmlindex= None mcastep = 1 table = 2 fitfiles = 1 concentrations = 0 filebeginoffset = 0 fileendoffset = 0 mcaoffset = 0 chunk = None exitonend = False opts, args = getopt.getopt( sys.argv[1:], options, longoptions) for opt,arg in opts: if opt in ('--cfg'): cfg = arg elif opt in ('--outdir'): outdir = arg elif opt in ('--roi','--roifit'): roifit = int(arg) elif opt in ('--roiwidth'): roiwidth = float(arg) elif opt in ('--overwrite'): overwrite= int(arg) elif opt in ('--filestep'): filestep = int(arg) elif opt in ('--mcastep'): mcastep = int(arg) elif opt in ('--html'): html = int(arg) elif opt in ('--htmlindex'): htmlindex = arg elif opt in ('--listfile'): listfile = arg elif opt in ('--cfglistfile'): cfglistfile = arg elif opt in ('--concentrations'): concentrations = int(arg) elif opt in ('--table'): table = int(arg) elif opt in ('--fitfiles'): fitfiles = int(arg) elif opt in ('--filebeginoffset'): filebeginoffset = int(arg) elif opt in ('--fileendoffset'): fileendoffset = int(arg) elif opt in ('--mcaoffset'): mcaoffset = int(arg) elif opt in ('--chunk'): chunk = int(arg) elif opt in ('--selection'): selection = int(arg) if selection: selection = True else: selection = False elif opt in ('--nativefiledialogs'): if int(arg): PyMcaDirs.nativeFileDialogs = True else: PyMcaDirs.nativeFileDialogs = False elif opt in ('--exitonend'): exitonend = int(arg) if listfile is None: filelist=[] for item in args: filelist.append(item) selection = None else: if selection: tmpDict = ConfigDict.ConfigDict() tmpDict.read(listfile) tmpDict = tmpDict['PyMcaBatch'] filelist = tmpDict['filelist'] if type(filelist) == type(""): filelist = [filelist] selection = tmpDict['selection'] else: fd = open(listfile, 'rb') filelist = fd.readlines() fd.close() for i in range(len(filelist)): filelist[i]=filelist[i].decode(sys.getfilesystemencoding()).replace('\n','') selection = None if cfglistfile is not None: fd = open(cfglistfile, 'rb') cfg = fd.readlines() fd.close() for i in range(len(cfg)): cfg[i]=cfg[i].decode(sys.getfilesystemencoding()).replace('\n','') app=qt.QApplication(sys.argv) winpalette = qt.QPalette(qt.QColor(230,240,249),qt.QColor(238,234,238)) app.setPalette(winpalette) if len(filelist) == 0: app.lastWindowClosed.connect(app.quit) w = McaBatchGUI(actions=1) w.show() w.raise_() app.exec_() else: app.lastWindowClosed.connect(app.quit) text = "Batch from %s to %s" % (os.path.basename(filelist[0]), os.path.basename(filelist[-1])) window = McaBatchWindow(name=text,actions=1, outputdir=outdir,html=html, htmlindex=htmlindex, table=table, chunk=chunk, exitonend=exitonend) if html:fitfiles=1 try: b = McaBatch(window,cfg,filelist,outdir,roifit=roifit,roiwidth=roiwidth, overwrite = overwrite, filestep=filestep, mcastep=mcastep, concentrations=concentrations, fitfiles=fitfiles, filebeginoffset=filebeginoffset,fileendoffset=fileendoffset, mcaoffset=mcaoffset, chunk=chunk, selection=selection) except: if exitonend: print("Error: " % sys.exc_info()[1]) print("Quitting as requested") qt.QApplication.instance().quit() else: msg = qt.QMessageBox() msg.setIcon(qt.QMessageBox.Critical) msg.setText("%s" % sys.exc_info()[1]) msg.exec_() return def cleanup(): b.pleasePause = 0 b.pleaseBreak = 1 b.wait() qApp = qt.QApplication.instance() qApp.processEvents() def pause(): if b.pleasePause: b.pleasePause=0 window.pauseButton.setText("Pause") else: b.pleasePause=1 window.pauseButton.setText("Continue") window.pauseButton.clicked.connect(pause) window.abortButton.clicked.connect(window.close) app.aboutToQuit[()].connect(cleanup) window._rootname = "%s"% b._rootname window.show() b.start() app.exec_() if __name__ == "__main__": main() # PyMcaBatch.py --cfg=/mntdirect/_bliss/users/sole/COTTE/WithLead.cfg --outdir=/tmp/ /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0007.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0008.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0009.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0010.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0011.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0012.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0013.edf & # PyMcaBatch.exe --cfg=E:/COTTE/WithLead.cfg --outdir=C:/tmp/ E:/COTTE/ch09/ch09__mca_0003_0000_0007.edf E:/COTTE/ch09/ch09__mca_0003_0000_0008.edf PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/PyMcaHKLImageWindow.py0000644000276300001750000002427013136054446022700 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import numpy from . import PyMcaImageWindow from PyMca5.PyMcaPhysics import SixCircle arctan = numpy.arctan DEBUG = 0 class PyMcaHKLImageWindow(PyMcaImageWindow.PyMcaImageWindow): def __init__(self, *var, **kw): PyMcaImageWindow.PyMcaImageWindow.__init__(self, *var, **kw) self._HKLOn = True def _graphSignal(self, ddict): if (ddict['event'] not in ["MouseAt", "mouseClicked"]) or \ (not self._HKLOn): return PyMcaImageWindow.PyMcaImageWindow._graphSignal(self, ddict) if self._imageData is None: self.graphWidget.setInfoText(" H = ???? K = ???? L = ???? I = ????") return #pixel coordinates if ddict['y'] < 0: x = int(ddict['y'] - 0.5) else: x = int(ddict['y'] + 0.5) if x < 0: x = 0 if ddict['x'] < 0: y = int(ddict['x'] - 0.5) else: y = int(ddict['x'] + 0.5) if y < 0: y = 0 limits = self._imageData.shape x = min(int(x), limits[0]-1) y = min(int(y), limits[1]-1) z = self._imageData[x, y] text = " X = %d Y = %d Z = %.7g " % (y, x, z) info = self._getHKLInfoFromWidget() toDeg = 180.0/numpy.pi phi = info['phi'] chi = info['chi'] theta = info['theta'] if 0: # delta in vertical (following BM28) # gamma in horizontal (following BM28) deltaH = toDeg * numpy.arctan((x - info['pixel_zero_h']) *\ (info['pixel_size_h']/info['distance'])) deltaV = toDeg *arctan((y - info['pixel_zero_v'])*\ (info['pixel_size_v']/info['distance'])) if 0: #original gamma = info['gamma'] + deltaH delta = info['delta'] - deltaV else: #MarCCD settings gamma = info['gamma'] - deltaV delta = info['delta'] - deltaH #end of BM28 customization else: #ID03 deltaH = toDeg * numpy.arctan((x - info['pixel_zero_v']) *\ (info['pixel_size_v']/info['distance'])) deltaV = toDeg *arctan((y - info['pixel_zero_h'])*\ (info['pixel_size_h']/info['distance'])) #delta in horizontal #gamma in vertical gamma = info['gamma'] - deltaH delta = info['delta'] - deltaV if 0: #ID03 test for EH1 wavelength = 1.03321027 ub = [1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0] ub[0] = 0.060082400000000001 ub[1] = 0.054556500000000001 ub[2] = -0.92985700000000004 ub[3] = -1.5089399999999999 ub[4] = -2.61991 ub[5] = -0.0203886 ub[6] = -2.1539600000000001 ub[7] = 0.230518 ub[8] = -0.011654299999999999 delta, theta, chi, phi, mu, gamma = 44.0035, -92.968, 90.715,\ 1.26, 0.3, 0.578 print(" Expected value = ", 1, 1, 0.1) mu = info['mu'] wavelength = info['lambda'] ub = info['ub'] if 0: #This should always give 1 1 1 wavelength = 0.363504 ub = [1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0] ub[0] = -4.080 ub[1] = 0.000 ub[2] = 0.000 ub[3] = 0.000 ub[4] = 4.080 ub[5] = 0.000 ub[6] = 0.000 ub[7] = 0.000 ub[8] = -4.080 delta, theta, chi, phi, mu, gamma = 23.5910, 47.0595, -135.,\ 0.0, 0.0, 0.0 HKL = SixCircle.getHKL(wavelength, ub, phi=phi, chi=chi, theta=theta, gamma=gamma, delta=delta, mu=mu) HKL.shape = -1 text += "H = %.3f " % HKL[0] text += "K = %.3f " % HKL[1] text += "L = %.3f " % HKL[2] self.graphWidget.setInfoText(text) def _getHKLInfoFromWidget(self): ddict = {} ddict['lambda'] = 1.0 # In Angstroms ddict['distance'] = 1000. # Same units as pixel size ddict['pixel_size_h'] = 0.080 # Same units as distance ddict['pixel_size_v'] = 0.080 # Same units as distance ddict['pixel_zero_h'] = 1024. # In pixel units (float) ddict['pixel_zero_v'] = 1024. # In pixel units (float) ddict['orientation'] = 0 ddict['ub'] = [1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0] ddict['phi'] = 0.0 ddict['chi'] = 0.0 ddict['theta'] = 0.0 ddict['gamma'] = 0.0 ddict['delta'] = 0.0 ddict['mu'] = 0.0 legend = self.dataObjectsList[0] dataObject = self.dataObjectsDict[legend] info = dataObject.info #try to get the information from the motors motPos = info.get('motor_pos', "") motMne = info.get('motor_mne', "") motPos = motPos.split() motMne = motMne.split() if len(motPos) == len(motMne): idx = -1 for mne in motMne: idx += 1 if mne.upper() in ['ENERGY', 'NRJ']: energy = float(motPos[idx]) ddict['lambda'] = 12.39842 / energy continue if mne in ['phi', 'chi', 'mu']: ddict[mne] = float(motPos[idx]) continue if mne in ['th', 'theta']: ddict['theta'] = float(motPos[idx]) continue if mne in ['del', 'delta', 'tth', 'twotheta']: ddict['delta'] = float(motPos[idx]) continue if mne in ['gam', 'gamma']: ddict['gamma'] = float(motPos[idx]) continue #and update it from the counters cntPos = info.get('counter_pos', "").split() cntMne = info.get('counter_mne', "").split() cntInfo = {} if len(cntPos) == len(cntMne): for i in range(len(cntMne)): cntInfo[cntMne[i]] = cntPos[i] for key in cntInfo.keys(): # diffractometer if key in ['phicnt']: ddict['phi'] = float(cntInfo[key]) continue if key in ['chicnt']: ddict['chi'] = float(cntInfo[key]) continue if key in ['thcnt', 'thetacnt']: ddict['theta'] = float(cntInfo[key]) continue if key in ['tthcnt'] and ('delcnt' not in cntInfo.keys()): #Avoid ID03 trap because they have delcnt and tthcnt ... ddict['delta'] = float(cntInfo[key]) continue if key in ['delcnt', 'deltacnt']: ddict['delta'] = float(cntInfo[key]) continue if key in ['gamcnt', 'gammacnt']: ddict['gamma'] = float(cntInfo[key]) continue if key in ['mucnt']: ddict['mu'] = float(cntInfo[key]) continue for key in info.keys(): # UB matrix if key.upper() in ['UB_POS']: ddict['ub'] = [float(x) for x in info[key].split()] continue # direct beam if key in ['beam_x', 'pixel_zero_x']: ddict['pixel_zero_h'] = float(info[key]) continue if key in ['beam_y', 'pixel_zero_y']: ddict['pixel_zero_v'] = float(info[key]) continue #sample to direct beam distance if key in ['detector_distance', 'd_sample_det']: ddict['distance'] = float(info[key]) continue #pixel sizes if key in ['pixel_size_x']: ddict['pixel_size_h'] = float(info[key]) continue if key in ['pixel_size_y']: ddict['pixel_size_v'] = float(info[key]) continue #wave length if key in ['source_wavelength']: ddict['lambda'] = float(info[key]) continue if DEBUG: for key in ddict.keys(): print(key, ddict[key]) return ddict PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/PyMcaMain.py0000644000276300001750000021505313173367502021015 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys, getopt import traceback if sys.platform == 'win32': import ctypes from ctypes.wintypes import MAX_PATH nativeFileDialogs = None DEBUG = 0 backend=None if __name__ == '__main__': options = '-f' longoptions = ['spec=', 'shm=', 'debug=', 'qt=', 'backend=', 'nativefiledialogs=', 'PySide='] try: opts, args = getopt.getopt( sys.argv[1:], options, longoptions) except getopt.error: print(sys.exc_info()[1]) sys.exit(1) keywords={} debugreport = 0 qtversion = '4' for opt, arg in opts: if opt in ('--spec'): keywords['spec'] = arg elif opt in ('--shm'): keywords['shm'] = arg elif opt in ('--debug'): debugreport = 1 DEBUG = 1 elif opt in ('-f'): keywords['fresh'] = 1 elif opt in ('--qt'): qtversion = arg elif opt in ('--backend'): backend = arg elif opt in ('--nativefiledialogs'): if int(arg): nativeFileDialogs = True else: nativeFileDialogs = False elif opt in ('--PySide'): import PySide if qtversion == '3': raise NotImplementedError("Qt3 is not longer supported") from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui.pymca import PyMcaMdi IconDict = PyMcaMdi.IconDict if hasattr(qt, "QString"): QString = qt.QString else: QString = qt.safe_str QTVERSION = qt.qVersion() try: from PyMca5.PyMcaGui.physics.xrf import XRFMCPyMca XRFMC_FLAG = True except: XRFMC_FLAG = False try: from PyMca5.PyMcaGui.pymca import SumRulesTool SUMRULES_FLAG = True except: SUMRULES_FLAG = False import PyMca5 from PyMca5.PyMcaGui.pymca.PyMca_help import HelpDict from PyMca5 import PyMcaDataDir import os __version__ = PyMca5.version() if __name__ == "__main__": sys.excepthook = qt.exceptionHandler app = qt.QApplication(sys.argv) strlist = qt.QStyleFactory.keys() if sys.platform == "win32": for item in strlist: text = str(item) if text == "WindowsXP": style = qt.QStyleFactory.create(item) app.setStyle(style) break if sys.platform not in ["win32", "darwin"]: # some themes of Ubuntu 16.04 give black tool tips on black background app.setStyleSheet("QToolTip { color: #000000; background-color: #fff0cd; border: 1px solid black; }") # TODO why this strange test if 1 or QTVERSION < '4.0.0': winpalette = qt.QPalette(qt.QColor(230,240,249),qt.QColor(238,234,238)) app.setPalette(winpalette) else: palette = app.palette() role = qt.QPalette.Window #this is the background palette.setColor(role, qt.QColor(238,234,238)) app.setPalette(palette) mpath = PyMcaDataDir.PYMCA_DATA_DIR if mpath[-3:] == "exe": mpath = os.path.dirname(mpath) fname = os.path.join(mpath,'PyMcaSplashImage.png') if not os.path.exists(fname): while len(mpath) > 3: fname = os.path.join(mpath,'PyMcaSplashImage.png') if not os.path.exists(fname): mpath = os.path.dirname(mpath) else: break if os.path.exists(fname): pixmap = qt.QPixmap(QString(fname)) splash = qt.QSplashScreen(pixmap) else: splash = qt.QSplashScreen() splash.show() splash.raise_() from PyMca5.PyMcaGui.pymca import ChangeLog font = splash.font() font.setBold(1) splash.setFont(font) splash.showMessage( 'PyMca %s' % __version__, qt.Qt.AlignLeft|qt.Qt.AlignBottom, qt.Qt.white) if sys.platform == "darwin": qApp = qt.QApplication.instance() qApp.processEvents() from PyMca5.PyMcaGraph.Plot import Plot from PyMca5.PyMcaGui.pymca import ScanWindow from PyMca5.PyMcaGui.pymca import McaWindow from PyMca5.PyMcaGui.pymca import PyMcaImageWindow from PyMca5.PyMcaGui.pymca import PyMcaHKLImageWindow try: #This is to make sure it is properly frozen #and that Object3D is fully supported import OpenGL.GL #import Object3D.SceneGLWindow as SceneGLWindow import PyMca5.PyMcaGui.pymca.PyMcaGLWindow as SceneGLWindow OBJECT3D = False if ("PyQt4.QtOpenGL" in sys.modules) or \ ("PySide.QtOpenGL") in sys.modules or \ ("PyQt5.QtOpenGL") in sys.modules: OBJECT3D = True except: OBJECT3D = False from PyMca5.PyMcaGui.pymca import QDispatcher from PyMca5.PyMcaGui import ElementsInfo from PyMca5.PyMcaGui import PeakIdentifier from PyMca5.PyMcaGui.pymca import PyMcaBatch ###########import Fit2Spec from PyMca5.PyMcaGui.pymca import Mca2Edf try: from PyMca5.PyMcaGui.pymca import QStackWidget from PyMca5.PyMcaGui.pymca import StackSelector STACK = True except: STACK = False from PyMca5.PyMcaGui.pymca import PyMcaPostBatch from PyMca5.PyMcaGui import RGBCorrelator from PyMca5.PyMcaGui import MaterialEditor from PyMca5.PyMcaIO import ConfigDict from PyMca5 import PyMcaDirs XIA_CORRECT = False if QTVERSION > '4.3.0': try: from PyMca5.PyMcaCore import XiaCorrect XIA_CORRECT = True except: pass SOURCESLIST = QDispatcher.QDataSource.source_types.keys() class PyMcaMain(PyMcaMdi.PyMcaMdi): def __init__(self, parent=None, name="PyMca", fl=None,**kw): if fl is None: fl = qt.Qt.WA_DeleteOnClose PyMcaMdi.PyMcaMdi.__init__(self, parent, name, fl) maxheight = qt.QDesktopWidget().height() if maxheight < 799: self.setMinimumHeight(int(0.8*maxheight)) self.setMaximumHeight(int(0.9*maxheight)) self.setWindowTitle(name) self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.changeLog = None self._widgetDict = {} self.initSourceBrowser() self.initSource() self.elementsInfo= None self.attenuationTool = None self.identifier = None self.__batch = None self.__mca2Edf = None self.__fit2Spec = None self.__correlator = None self.__imagingTool = None self._xrfmcTool = None self._sumRulesTool = None self.openMenu = qt.QMenu() self.openMenu.addAction("PyMca Configuration", self.openSource) self.openMenu.addAction("Data Source", self.sourceWidget.sourceSelector._openFileSlot) self.openMenu.addAction("Load Training Data", self.loadTrainingData) self.__useTabWidget = True if not self.__useTabWidget: self.mcaWindow = McaWindow.McaWidget(self.mdi) self.scanWindow = ScanWindow.ScanWindow(self.mdi) self.imageWindowDict = None self.connectDispatcher(self.mcaWindow, self.sourceWidget) self.connectDispatcher(self.scanWindow, self.sourceWidget) self.mdi.addWindow(self.mcaWindow) self.mdi.addWindow(self.scanWindow) else: if backend is not None: Plot.defaultBackend = backend self.mainTabWidget = qt.QTabWidget(self.mdi) self.mainTabWidget.setWindowTitle("Main Window") self.mcaWindow = McaWindow.McaWindow(backend=backend) self.scanWindow = ScanWindow.ScanWindow(info=True, backend=backend) self.scanWindow._togglePointsSignal() if OBJECT3D: self.glWindow = SceneGLWindow.SceneGLWindow() self.mainTabWidget.addTab(self.mcaWindow, "MCA") self.mainTabWidget.addTab(self.scanWindow, "SCAN") if OBJECT3D: self.mainTabWidget.addTab(self.glWindow, "OpenGL") if QTVERSION < '5.0.0': self.mdi.addWindow(self.mainTabWidget) else: self.mdi.addSubWindow(self.mainTabWidget) #print "Markus patch" #self.mainTabWidget.show() #print "end Markus patch" self.mainTabWidget.showMaximized() if False: self.connectDispatcher(self.mcaWindow, self.sourceWidget) self.connectDispatcher(self.scanWindow, self.sourceWidget) else: self.imageWindowDict = {} self.imageWindowCorrelator = None self.sourceWidget.sigAddSelection.connect( \ self.dispatcherAddSelectionSlot) self.sourceWidget.sigRemoveSelection.connect( \ self.dispatcherRemoveSelectionSlot) self.sourceWidget.sigReplaceSelection.connect( \ self.dispatcherReplaceSelectionSlot) self.mainTabWidget.currentChanged[int].connect( \ self.currentTabIndexChanged) self.sourceWidget.sigOtherSignals.connect( \ self.dispatcherOtherSignalsSlot) if 0: if 'shm' in kw: if len(kw['shm']) >= 8: if kw['shm'][0:8] in ['MCA_DATA', 'XIA_DATA']: self.mcaWindow.showMaximized() self.toggleSource() else: self.mcaWindow.showMaximized() currentConfigDict = ConfigDict.ConfigDict() try: defaultFileName = self.__getDefaultSettingsFile() self.configDir = os.path.dirname(defaultFileName) except: if not ('fresh' in kw): raise if not ('fresh' in kw): if os.path.exists(defaultFileName): currentConfigDict.read(defaultFileName) self.setConfig(currentConfigDict) if ('spec' in kw) and ('shm' in kw): if len(kw['shm']) >= 8: #if kw['shm'][0:8] in ['MCA_DATA', 'XIA_DATA']: if kw['shm'][0:8] in ['MCA_DATA']: #self.mcaWindow.showMaximized() self.toggleSource() self._startupSelection(source=kw['spec'], selection=kw['shm']) else: self._startupSelection(source=kw['spec'], selection=None) else: self._startupSelection(source=kw['spec'], selection=None) def connectDispatcher(self, viewer, dispatcher = None): #I could connect sourceWidget to myself and then #pass the selections to the active window!! #That will be made in a next iteration I guess if dispatcher is None: dispatcher = self.sourceWidget dispatcher.sigAddSelection.connect(viewer._addSelection) dispatcher.sigRemoveSelection.connect(viewer._removeSelection) dispatcher.sigReplaceSelection.connect(viewer._replaceSelection) def currentTabIndexChanged(self, index): legend = "%s" % self.mainTabWidget.tabText(index) for key in self.imageWindowDict.keys(): if key == legend: value = True else: value = False self.imageWindowDict[key].setPlotEnabled(value) def _is2DSelection(self, ddict): if 'imageselection' in ddict: if ddict['imageselection']: return True if 'selection' in ddict: if ddict['selection'] is None: return False if 'selectiontype' in ddict['selection']: if ddict['selection']['selectiontype'] == '2D': return True return False def _is3DSelection(self, ddict): if self._is2DSelection(ddict): return False if 'selection' in ddict: if ddict['selection'] is None: return False if 'selectiontype' in ddict['selection']: if ddict['selection']['selectiontype'] == '3D': return True if 'x' in ddict['selection']: if ddict['selection']['x'] is not None: if len(ddict['selection']['x']) > 1: return True return False def _isStackSelection(self, ddict): if self._is2DSelection(ddict): return False if self._is3DSelection(ddict): return False if 'selection' in ddict: if ddict['selection'] is None: return False if 'selectiontype' in ddict['selection']: if ddict['selection']['selectiontype'] == 'STACK': return True return False def dispatcherAddSelectionSlot(self, ddict): if self.__useTabWidget: if self.mainTabWidget.isHidden(): #make sure it is visible in case of being closed self.mainTabWidget.show() if DEBUG: self._dispatcherAddSelectionSlot(ddict) else: try: self._dispatcherAddSelectionSlot(ddict) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error: %s" % sys.exc_info()[1]) msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() def _dispatcherAddSelectionSlot(self, dictOrList): if DEBUG: print("self._dispatcherAddSelectionSlot(ddict), ddict = ", dictOrList) if type(dictOrList) == type([]): ddict = dictOrList[0] else: ddict = dictOrList toadd = False if self._is2DSelection(ddict): if DEBUG: print("2D selection") if self.imageWindowCorrelator is None: self.imageWindowCorrelator = RGBCorrelator.RGBCorrelator() #toadd = True title = "ImageWindow RGB Correlator" self.imageWindowCorrelator.setWindowTitle(title) legend = ddict['legend'] if legend not in self.imageWindowDict.keys(): hkl = False try: motor_mne = ddict['dataobject'].info['motor_mne'].split() if ('phi' in motor_mne) and ('chi' in motor_mne): if ('mu' in motor_mne) and ('gam' in motor_mne) : if 'del' in motor_mne: #SIXC hkl = True if ('tth' in motor_mne) and ('th' in motor_mne): #FOURC hkl = True except: pass if hkl: imageWindow = PyMcaHKLImageWindow.PyMcaHKLImageWindow(name = legend, correlator = self.imageWindowCorrelator, scanwindow=self.scanWindow) else: imageWindow = PyMcaImageWindow.PyMcaImageWindow(name = legend, correlator = self.imageWindowCorrelator, scanwindow=self.scanWindow) self.imageWindowDict[legend] = imageWindow imageWindow.sigAddImageClicked.connect( \ self.imageWindowCorrelator.addImageSlot) imageWindow.sigRemoveImageClicked.connect( \ self.imageWindowCorrelator.removeImageSlot) imageWindow.sigReplaceImageClicked.connect( \ self.imageWindowCorrelator.replaceImageSlot) self.mainTabWidget.addTab(imageWindow, legend) if toadd: self.mainTabWidget.addTab(self.imageWindowCorrelator, "RGB Correlator") self.imageWindowDict[legend].setPlotEnabled(False) self.imageWindowDict[legend]._addSelection(ddict) self.mainTabWidget.setCurrentWidget(imageWindow) #self.imageWindowDict[legend].setPlotEnabled(True) return if self.mainTabWidget.indexOf(self.imageWindowDict[legend]) < 0: self.mainTabWidget.addTab(self.imageWindowDict[legend], legend) self.imageWindowDict[legend].setPlotEnabled(False) self.imageWindowDict[legend]._addSelection(ddict) self.mainTabWidget.setCurrentWidget(self.imageWindowDict\ [legend]) else: self.imageWindowDict[legend]._addSelection(ddict) elif self._isStackSelection(ddict): if DEBUG: print("Stack selection") legend = ddict['legend'] widget = QStackWidget.QStackWidget() widget.notifyCloseEventToWidget(self) widget.setStack(ddict['dataobject']) widget.setWindowTitle(legend) widget.show() self._widgetDict[id(widget)] = widget else: if OBJECT3D: if ddict['dataobject'].info['selectiontype'] == "1D": if DEBUG: print("1D selection") self.mcaWindow._addSelection(dictOrList) self.scanWindow._addSelection(dictOrList) else: if DEBUG: print("3D selection") self.mainTabWidget.setCurrentWidget(self.glWindow) self.glWindow._addSelection(dictOrList) else: if DEBUG: print("1D selection") self.mcaWindow._addSelection(dictOrList) self.scanWindow._addSelection(dictOrList) def dispatcherRemoveSelectionSlot(self, ddict): try: return self._dispatcherRemoveSelectionSlot(ddict) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error: %s" % sys.exc_info()[1]) msg.exec_() def _dispatcherRemoveSelectionSlot(self, dictOrList): if DEBUG: print("self.dispatcherRemoveSelectionSlot(ddict), ddict = ",ddict) if type(dictOrList) == type([]): ddict = dictOrList[0] else: ddict = dictOrList if self._is2DSelection(ddict): legend = ddict['legend'] if legend in self.imageWindowDict.keys(): index = self.mainTabWidget.indexOf(self.imageWindowDict[legend]) if index >0: self.imageWindowDict[legend].close() self.imageWindowDict[legend].setParent(None) self.mainTabWidget.removeTab(index) self.imageWindowDict[legend]._removeSelection(ddict) del self.imageWindowDict[legend] elif self._is3DSelection(ddict): self.glWindow._removeSelection(dictOrList) else: self.mcaWindow._removeSelection(dictOrList) self.scanWindow._removeSelection(dictOrList) def dispatcherReplaceSelectionSlot(self, ddict): try: return self._dispatcherReplaceSelectionSlot(ddict) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error: %s" % sys.exc_info()[1]) msg.exec_() def _dispatcherReplaceSelectionSlot(self, dictOrList): if DEBUG: print("self.dispatcherReplaceSelectionSlot(ddict), ddict = ", dictOrList) if type(dictOrList) == type([]): ddict = dictOrList[0] else: ddict = dictOrList if self._is2DSelection(ddict): legend = ddict['legend'] for key in list(self.imageWindowDict.keys()): index = self.mainTabWidget.indexOf(self.imageWindowDict[key]) if key == legend: continue if index >= 0: self.imageWindowDict[key].close() self.imageWindowDict[key].setParent(None) self.mainTabWidget.removeTab(index) self.imageWindowDict[key]._removeSelection(ddict) del self.imageWindowDict[key] if legend in self.imageWindowDict.keys(): self.imageWindowDict[legend].setPlotEnabled(False) self.dispatcherAddSelectionSlot(ddict) index = self.mainTabWidget.indexOf(self.imageWindowDict[legend]) if index != self.mainTabWidget.currentIndex(): self.mainTabWidget.setCurrentWidget(self.imageWindowDict[legend]) if legend in self.imageWindowDict.keys(): # force an update self.imageWindowDict[legend].setPlotEnabled(True) self.imageWindowDict[legend].setPlotEnabled(False) elif self._is3DSelection(ddict): self.glWindow._replaceSelection(dictOrList) else: self.mcaWindow._replaceSelection(dictOrList) self.scanWindow._replaceSelection(dictOrList) def dispatcherOtherSignalsSlot(self, dictOrList): if DEBUG: print("self.dispatcherOtherSignalsSlot(ddict), ddict = ",dictOrList) if type(dictOrList) == type([]): ddict = dictOrList[0] else: ddict = dictOrList if not self.__useTabWidget: return if ddict['event'] == "SelectionTypeChanged": if ddict['SelectionType'].upper() == "COUNTERS": self.mainTabWidget.setCurrentWidget(self.scanWindow) return for i in range(self.mainTabWidget.count()): if str(self.mainTabWidget.tabText(i)) == \ ddict['SelectionType']: self.mainTabWidget.setCurrentIndex(i) return if ddict['event'] == "SourceTypeChanged": pass return if DEBUG: print("Unhandled dict") def setConfig(self, configDict): if 'PyMca' in configDict: self.__configurePyMca(configDict['PyMca']) if 'ROI' in configDict: self.__configureRoi(configDict['ROI']) if 'Elements' in configDict: self.__configureElements(configDict['Elements']) if 'Fit' in configDict: self.__configureFit(configDict['Fit']) if 'ScanSimpleFit' in configDict: self.__configureScanSimpleFit(configDict['ScanSimpleFit']) if 'ScanCustomFit' in configDict: self.__configureScanCustomFit(configDict['ScanCustomFit']) def getConfig(self): d = {} d['PyMca'] = {} d['PyMca']['VERSION'] = __version__ d['PyMca']['ConfigDir'] = self.configDir d['PyMca']['nativeFileDialogs'] = PyMcaDirs.nativeFileDialogs #geometry d['PyMca']['Geometry'] ={} r = self.geometry() d['PyMca']['Geometry']['MainWindow'] = [r.x(), r.y(), r.width(), r.height()] r = self.splitter.sizes() d['PyMca']['Geometry']['Splitter'] = r r = self.mcaWindow.geometry() d['PyMca']['Geometry']['McaWindow'] = [r.x(), r.y(), r.width(), r.height()] #sources d['PyMca']['Sources'] = {} d['PyMca']['Sources']['lastFileFilter'] = self.sourceWidget.sourceSelector.lastFileFilter for source in SOURCESLIST: d['PyMca'][source] = {} if (self.sourceWidget.sourceSelector.lastInputDir is not None) and \ len(self.sourceWidget.sourceSelector.lastInputDir): d['PyMca'][source]['lastInputDir'] = self.sourceWidget.sourceSelector.lastInputDir try: PyMcaDirs.inputDir = self.sourceWidget.sourceSelector.lastInputDir except ValueError: pass else: d['PyMca'][source]['lastInputDir'] = "None" if source == "SpecFile": d['PyMca'][source]['SourceName'] = [] for key in self.sourceWidget.sourceList: if key.sourceType == source: d['PyMca'][source]['SourceName'].append(key.sourceName) elif source == "EdfFile": d['PyMca'][source]['SourceName'] = [] for key in self.sourceWidget.sourceList: if key.sourceType == source: d['PyMca'][source]['SourceName'].append(key.sourceName) #if key == "EDF Stack": # d['PyMca'][source]['SourceName'].append(self.sourceWidget.selectorWidget[source]._edfstack) #else: # d['PyMca'][source]['SourceName'].append(self.sourceWidget.selectorWidget[source].mapComboName[key]) elif source == "HDF5": d['PyMca'][source]['SourceName'] = [] for key in self.sourceWidget.sourceList: if key.sourceType == source: d['PyMca'][source]['SourceName'].append(key.sourceName) selectorWidget = self.sourceWidget.selectorWidget[source] if hasattr(selectorWidget,'setWidgetConfiguration'): d['PyMca'][source]['WidgetConfiguration'] = selectorWidget.getWidgetConfiguration() #d['PyMca'][source]['Selection'] = self.sourceWidget[source].getSelection() # McaWindow calibrations d["PyMca"]["McaWindow"] = {} d["PyMca"]["McaWindow"]["calibrations"] = self.mcaWindow.getCalibrations() #ROIs d['ROI']={} if self.mcaWindow.roiWidget is None: roilist = [] roidict = {} else: roilist, roidict = self.mcaWindow.roiWidget.getROIListAndDict() d['ROI']['roilist'] = roilist d['ROI']['roidict'] = {} d['ROI']['roidict'].update(roidict) #fit related d['Elements'] = {} d['Elements']['Material'] = {} d['Elements']['Material'].update(ElementsInfo.Elements.Material) d['Fit'] = {} if self.mcaWindow.advancedfit.configDir is not None: d['Fit'] ['ConfigDir'] = self.mcaWindow.advancedfit.configDir * 1 d['Fit'] ['Configuration'] = {} d['Fit'] ['Configuration'].update(self.mcaWindow.advancedfit.mcafit.configure()) d['Fit'] ['Information'] = {} d['Fit'] ['Information'].update(self.mcaWindow.advancedfit.info) d['Fit'] ['LastFit'] = {} d['Fit'] ['LastFit']['hidden'] = self.mcaWindow.advancedfit.isHidden() d['Fit'] ['LastFit']['xdata0'] = self.mcaWindow.advancedfit.mcafit.xdata0 d['Fit'] ['LastFit']['ydata0'] = self.mcaWindow.advancedfit.mcafit.ydata0 d['Fit'] ['LastFit']['sigmay0']= self.mcaWindow.advancedfit.mcafit.sigmay0 d['Fit'] ['LastFit']['fitdone']= self.mcaWindow.advancedfit._fitdone() #d['Fit'] ['LastFit']['fitdone']= 1 #d['Fit'] ['LastFit']['xmin'] = self.mcaWindow.advancedfit.mcafit.sigma0 #d['Fit'] ['LastFit']['xmax'] = self.mcaWindow.advancedfit.mcafit.sigma0 #ScanFit related d['ScanSimpleFit'] = {} d['ScanSimpleFit']['Configuration'] = {} if DEBUG: d['ScanSimpleFit']['Configuration'].update(\ self.scanWindow.scanFit.getConfiguration()) else: try: d['ScanSimpleFit']['Configuration'].update(\ self.scanWindow.scanFit.getConfiguration()) except: print("Error getting ScanFint configuration") return d def saveConfig(self, config, filename = None): d = ConfigDict.ConfigDict() d.update(config) if filename is None: filename = self.__getDefaultSettingsFile() d.write(filename) def __configurePyMca(self, ddict): savedVersion = ddict.get("VERSION", '4.7.2') if 'ConfigDir' in ddict: self.configDir = ddict['ConfigDir'] if 'Geometry' in ddict: r = qt.QRect(*ddict['Geometry']['MainWindow']) self.setGeometry(r) key = 'Splitter' if key in ddict['Geometry'].keys(): self.splitter.setSizes(ddict['Geometry'][key]) if hasattr(self.mcaWindow, "graph"): # this was the way of working of 4.x.x versions key = 'McaWindow' if key in ddict['Geometry'].keys(): r = qt.QRect(*ddict['Geometry']['McaWindow']) self.mcaWindow.setGeometry(r) key = 'McaGraph' if key in ddict['Geometry'].keys(): r = qt.QRect(*ddict['Geometry']['McaGraph']) self.mcaWindow.graph.setGeometry(r) self.show() qApp = qt.QApplication.instance() qApp.processEvents() qApp.postEvent(self, qt.QResizeEvent(qt.QSize(ddict['Geometry']['MainWindow'][2]+1, ddict['Geometry']['MainWindow'][3]+1), qt.QSize(ddict['Geometry']['MainWindow'][2], ddict['Geometry']['MainWindow'][3]))) self.mcaWindow.showMaximized() native = ddict.get('nativeFileDialogs', True) if native in ["False", "0", 0]: native = False else: native = True PyMcaDirs.nativeFileDialogs = native if 'Sources' in ddict: if 'lastFileFilter' in ddict['Sources']: self.sourceWidget.sourceSelector.lastFileFilter = ddict['Sources']['lastFileFilter'] for source in SOURCESLIST: if source in ddict: if 'lastInputDir' in ddict[source]: if ddict[source] ['lastInputDir'] not in ["None", []]: self.sourceWidget.sourceSelector.lastInputDir = ddict[source] ['lastInputDir'] try: PyMcaDirs.inputDir = ddict[source] ['lastInputDir'] except ValueError: pass if 'SourceName' in ddict[source]: if type(ddict[source]['SourceName']) != type([]): ddict[source]['SourceName'] = [ddict[source]['SourceName'] * 1] for SourceName0 in ddict[source]['SourceName']: if type(SourceName0) == type([]): SourceName = SourceName0[0] else: SourceName = SourceName0 if len(SourceName): try: if not os.path.exists(SourceName): continue self.sourceWidget.sourceSelector.openFile(SourceName, justloaded =1) continue #This event is not needed ndict = {} ndict["event"] = "NewSourceSelected" ndict["sourcelist"] = [SourceName] self.sourceWidget._sourceSelectorSlot(ndict) continue if source == "EdfFile": self.sourceWidget.selectorWidget[source].openFile(SourceName, justloaded=1) else: self.sourceWidget.selectorWidget[source].openFile(SourceName) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) txt = "Error: %s\n opening file %s" % (sys.exc_info()[1],SourceName ) msg.setInformativeText(txt) msg.setDetailedText(traceback.format_exc()) msg.exec_() if 'WidgetConfiguration' in ddict[source]: selectorWidget = self.sourceWidget.selectorWidget[source] if hasattr(selectorWidget,'setWidgetConfiguration'): try: selectorWidget.setWidgetConfiguration(ddict[source]['WidgetConfiguration']) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) txt = "Error: %s\n configuring %s widget" % (sys.exc_info()[1], source ) msg.setInformativeText(txt) msg.setDetailedText(traceback.format_exc()) msg.exec_() if "McaWindow" in ddict: self.mcaWindow.setCalibrations(ddict["McaWindow"]["calibrations"]) def __configureRoi(self, ddict): if 'roidict' in ddict: if 'roilist' in ddict: roilist = ddict['roilist'] if type(roilist) != type([]): roilist=[roilist] roidict = ddict['roidict'] if self.mcaWindow.roiWidget is None: self.mcaWindow.showRoiWidget(qt.Qt.BottomDockWidgetArea) self.mcaWindow.roiWidget.fillFromROIDict(roilist=roilist, roidict=roidict) def __configureElements(self, ddict): if 'Material' in ddict: ElementsInfo.Elements.Material.update(ddict['Material']) def __configureFit(self, d): if 'Configuration' in d: self.mcaWindow.advancedfit.configure(d['Configuration']) if not self.mcaWindow.advancedfit.isHidden(): self.mcaWindow.advancedfit._updateTop() if 'ConfigDir' in d: self.mcaWindow.advancedfit.configDir = d['ConfigDir'] * 1 if False and ('LastFit' in d): if (d['LastFit']['ydata0'] != None) and \ (d['LastFit']['ydata0'] != 'None'): self.mcaWindow.advancedfit.setdata(x=d['LastFit']['xdata0'], y=d['LastFit']['ydata0'], sigmay=d['LastFit']['sigmay0'], **d['Information']) if d['LastFit']['hidden'] == 'False': self.mcaWindow.advancedfit.show() self.mcaWindow.advancedfit.raiseW() if d['LastFit']['fitdone']: try: self.mcaWindow.advancedfit.fit() except: pass else: print("hidden") def __configureFit(self, d): if 'Configuration' in d: self.mcaWindow.advancedfit.mcafit.configure(d['Configuration']) if not self.mcaWindow.advancedfit.isHidden(): self.mcaWindow.advancedfit._updateTop() if 'ConfigDir' in d: self.mcaWindow.advancedfit.configDir = d['ConfigDir'] * 1 if False and ('LastFit' in d): if (d['LastFit']['ydata0'] != None) and \ (d['LastFit']['ydata0'] != 'None'): self.mcaWindow.advancedfit.setdata(x=d['LastFit']['xdata0'], y=d['LastFit']['ydata0'], sigmay=d['LastFit']['sigmay0'], **d['Information']) if d['LastFit']['hidden'] == 'False': self.mcaWindow.advancedfit.show() self.mcaWindow.advancedfit.raiseW() if d['LastFit']['fitdone']: try: self.mcaWindow.advancedfit.fit() except: pass else: print("hidden") def __configureScanCustomFit(self, ddict): pass def __configureScanSimpleFit(self, ddict): if 'Configuration' in ddict: self.scanWindow.scanFit.setConfiguration(ddict['Configuration']) def initMenuBar(self): if self.options["MenuFile"]: #build the actions #fileopen self.actionOpen = qt.QAction(self) self.actionOpen.setText(QString("&Open")) self.actionOpen.setIcon(self.Icons["fileopen"]) self.actionOpen.setShortcut(qt.Qt.CTRL+qt.Qt.Key_O) self.actionOpen.triggered[bool].connect(self.onOpen) #filesaveas self.actionSaveAs = qt.QAction(self) self.actionSaveAs.setText(QString("&Save")) self.actionSaveAs.setIcon(self.Icons["filesave"]) self.actionSaveAs.setShortcut(qt.Qt.CTRL+qt.Qt.Key_S) self.actionSaveAs.triggered[bool].connect(self.onSaveAs) #filesave self.actionSave = qt.QAction(self) self.actionSave.setText(QString("Save &Default Settings")) #self.actionSave.setIcon(self.Icons["filesave"]) #self.actionSave.setShortcut(qt.Qt.CTRL+qt.Qt.Key_S) self.actionSave.triggered[bool].connect(self.onSave) #fileprint self.actionPrint = qt.QAction(self) self.actionPrint.setText(QString("&Print")) self.actionPrint.setIcon(self.Icons["fileprint"]) self.actionPrint.setShortcut(qt.Qt.CTRL+qt.Qt.Key_P) self.actionPrint.triggered[bool].connect(self.onPrint) #filequit self.actionQuit = qt.QAction(self) self.actionQuit.setText(QString("&Quit")) #self.actionQuit.setIcon(self.Icons["fileprint"]) self.actionQuit.setShortcut(qt.Qt.CTRL+qt.Qt.Key_Q) qApp = qt.QApplication.instance() self.actionQuit.triggered.connect(qApp.closeAllWindows) #self.menubar = qt.QMenuBar(self) self.menuFile= qt.QMenu(self.menuBar()) self.menuFile.addAction(self.actionOpen) self.menuFile.addAction(self.actionSaveAs) self.menuFile.addAction(self.actionSave) self.menuFile.addSeparator() self.menuFile.addAction(self.actionPrint) self.menuFile.addSeparator() self.menuFile.addAction(self.actionQuit) self.menuBar().addMenu(self.menuFile) self.menuFile.setTitle("&File") self.onInitMenuBar(self.menuBar()) if self.options["MenuTools"]: self.menuTools= qt.QMenu() #self.menuTools.setCheckable(1) self.menuTools.aboutToShow[()].connect(self.menuToolsAboutToShow) self.menuTools.setTitle("&Tools") self.menuBar().addMenu(self.menuTools) if self.options["MenuWindow"]: self.menuWindow= qt.QMenu() #self.menuWindow.setCheckable(1) self.menuWindow.aboutToShow[()].connect(self.menuWindowAboutToShow) self.menuWindow.setTitle("&Window") self.menuBar().addMenu(self.menuWindow) if self.options["MenuHelp"]: self.menuHelp= qt.QMenu(self) self.menuHelp.addAction("&Menu", self.onMenuHelp) self.menuHelp.addAction("&Data Display HOWTOs", self.onDisplayHowto) self.menuHelp.addAction("MCA &HOWTOs",self.onMcaHowto) self.menuHelp.addSeparator() self.menuHelp.addAction("&About", self.onAbout) self.menuHelp.addAction("Changes", self.onChanges) self.menuHelp.addAction("About &Qt",self.onAboutQt) self.menuBar().addSeparator() self.menuHelp.setTitle("&Help") self.menuBar().addMenu(self.menuHelp) self.menuBrowser = None self.displayBrowser = None self.mcaBrowser = None def initSourceBrowser(self): self.sourceFrame = qt.QWidget(self.splitter) self.splitter.insertWidget(0, self.sourceFrame) self.sourceFrame.setWindowTitle("Source Selector") self.sourceFrame.setWindowIcon(self.windowIcon()) #self.splitter.setResizeMode(self.sourceFrame,qt.QSplitter.KeepSize) self.sourceFrameLayout = qt.QVBoxLayout(self.sourceFrame) self.sourceFrameLayout.setContentsMargins(0, 0, 0, 0) self.sourceFrameLayout.setSpacing(0) #layout.setAutoAdd(1) sourceToolbar = qt.QWidget(self.sourceFrame) layout1 = qt.QHBoxLayout(sourceToolbar) #self.line1 = qt.QFrame(sourceToolbar,"line1") self.line1 = Line(sourceToolbar) self.line1.setFrameShape(qt.QFrame.HLine) self.line1.setFrameShadow(qt.QFrame.Sunken) self.line1.setFrameShape(qt.QFrame.HLine) layout1.addWidget(self.line1) #self.closelabel = qt.QLabel(sourceToolbar) self.closelabel = PixmapLabel(sourceToolbar) self.closelabel.setPixmap(qt.QPixmap(IconDict['close'])) layout1.addWidget(self.closelabel) self.closelabel.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) #self.sourceBrowserTab=qt.QTabWidget(self.sourceFrame) self.sourceFrameLayout.addWidget(sourceToolbar) #connections self.line1.sigLineDoubleClickEvent.connect(self.sourceReparent) self.closelabel.sigPixmapLabelMousePressEvent.connect(self.toggleSource) #tips self.line1.setToolTip("DoubleClick toggles floating window mode") self.closelabel.setToolTip("Hides Source Area") def sourceReparent(self,ddict = None): if self.sourceFrame.parent() is not None: self.sourceFrame.setParent(None) self.sourceFrame.move(self.cursor().pos()) self.sourceFrame.show() else: try: self.splitter.insertWidget(0, self.sourceFrame) except: self.sourceFrame.setParent(self.splitter) def initSource(self): self.sourceWidget = QDispatcher.QDispatcher(self.sourceFrame) self.sourceFrameLayout.addWidget(self.sourceWidget) def _startupSelection(self, source, selection): self.sourceWidget.sourceSelector.openSource(source) if selection is None: return if len(selection) >= 8: if selection[0:8] == "MCA_DATA": ddict= {} ddict['event'] = "addSelection" ddict['SourceName'] = source ddict['Key'] = selection ddict["selection"] = {'cols': {'y': [1], 'x': [0]}} ddict["legend"] = ddict['SourceName'] + ' %s.c.1' %selection ddict["SourceType"] = 'SPS' self.sourceWidget._addSelectionSlot([ddict]) self.mcaWindow.controlWidget.calbox.setCurrentIndex(2) self.mcaWindow.calibration = self.mcaWindow.calboxoptions[2] self.mcaWindow.controlWidget._calboxactivated("Internal") else: return """ elif selection == "XIA_DATA": ddict= {} ddict['event'] = "addSelection" ddict['SourceName'] = "armando5" ddict['Key'] = selection ddict["selection"] = {'rows': {'y': [1], 'x': [0]}} ddict["legend"] = ddict['SourceName'] + ' XIA_DATA.c.1' ddict["SourceType"] = 'SPS' self.sourceWidget._addSelectionSlot([ddict]) """ def menuToolsAboutToShow(self): if DEBUG: print("menu ToolsAboutToShow") self.menuTools.clear() if self.sourceFrame.isHidden(): self.menuTools.addAction("Show Source",self.toggleSource) else: self.menuTools.addAction("Hide Source",self.toggleSource) self.menuTools.addAction("Elements Info",self.__elementsInfo) self.menuTools.addAction("Material Transmission",self.__attTool) self.menuTools.addAction("Identify Peaks",self.__peakIdentifier) self.menuTools.addAction("Batch Fitting",self.__batchFitting) self.menuTools.addAction("Convert Mca to Edf",self.__mca2EdfConversion) #self.menuTools.addAction("Fit to Specfile",self.__fit2SpecConversion) self.menuTools.addAction("RGB Correlator",self.__rgbCorrelator) if STACK: self.menuTools.addAction("ROI Imaging",self.__roiImaging) if XIA_CORRECT: self.menuTools.addAction("XIA Correct", self.__xiaCorrect) if XRFMC_FLAG: self.menuTools.addAction("XMI-MSIM PyMca", self._xrfmcPyMca) if SUMRULES_FLAG: self.menuTools.addAction("Sum Rules Tool", self._sumRules) if DEBUG: print("Fit to Specfile missing") def fontdialog(self): fontd = qt.QFontDialog.getFont(self) if fontd[1]: qApp = qt.QApplication.instance() qApp.setFont(fontd[0],1) def toggleSource(self,**kw): if DEBUG: print("toggleSource called") if self.sourceFrame.isHidden(): self.sourceFrame.show() self.sourceFrame.raise_() else: self.sourceFrame.hide() def __elementsInfo(self): if self.elementsInfo is None: self.elementsInfo=ElementsInfo.ElementsInfo(None,"Elements Info") if self.elementsInfo.isHidden(): self.elementsInfo.show() self.elementsInfo.raise_() def __attTool(self): if self.attenuationTool is None: self.attenuationTool = MaterialEditor.MaterialEditor(toolmode=True) if self.attenuationTool.isHidden(): self.attenuationTool.show() self.attenuationTool.raise_() def __peakIdentifier(self): if self.identifier is None: self.identifier=PeakIdentifier.PeakIdentifier(energy=5.9, useviewer=1) self.identifier.mySlot() if self.identifier.isHidden(): self.identifier.show() self.identifier.raise_() def __batchFitting(self): if self.__batch is None: self.__batch = PyMcaBatch.McaBatchGUI(fl=0,actions=1) if self.__batch.isHidden(): self.__batch.show() self.__batch.raise_() def __mca2EdfConversion(self): if self.__mca2Edf is None: self.__mca2Edf = Mca2Edf.Mca2EdfGUI(fl=0,actions=1) if self.__mca2Edf.isHidden(): self.__mca2Edf.show() self.__mca2Edf.raise_() def __fit2SpecConversion(self): if self.__fit2Spec is None: self.__fit2Spec = Fit2Spec.Fit2SpecGUI(fl=0,actions=1) if self.__fit2Spec.isHidden(): self.__fit2Spec.show() self.__fit2Spec.raise_() def __rgbCorrelator(self): if self.__correlator is None: self.__correlator = [] fileTypeList = ["Batch Result Files (*dat)", "EDF Files (*edf)", "EDF Files (*ccd)", "All Files (*)"] message = "Open ONE Batch result .dat file or SEVERAL EDF files" filelist = self.__getStackOfFiles(fileTypeList, message) if not(len(filelist)): return filelist.sort() self.sourceWidget.sourceSelector.lastInputDir = os.path.dirname(filelist[0]) PyMcaDirs.inputDir = os.path.dirname(filelist[0]) self.__correlator.append(PyMcaPostBatch.PyMcaPostBatch()) for correlator in self.__correlator: if correlator.isHidden(): correlator.show() correlator.raise_() self.__correlator[-1].sigRGBCorrelatorSignal.connect( \ self._deleteCorrelator) if len(filelist) == 1: correlator.addBatchDatFile(filelist[0]) else: correlator.addFileList(filelist) def __sumRules(self): if self.__correlator is None: self.__correlator = [] def _deleteCorrelator(self, ddict): n = len(self.__correlator) if ddict['event'] == "RGBCorrelatorClosed": for i in range(n): if id(self.__correlator[i]) == ddict["id"]: self.__correlator[i].deleteLater() del self.__correlator[i] break def __getStackOfFiles(self, typelist, message="", getfilter=False): wdir = PyMcaDirs.inputDir fileTypeList = typelist filterused = None if False and PyMcaDirs.nativeFileDialogs: #windows cannot handle thousands of files in a file dialog filetypes = "" for filetype in fileTypeList: filetypes += filetype+"\n" filelist = qt.QFileDialog.getOpenFileNames(self, message, wdir, filetypes) if not len(filelist): if getfilter: return [], filterused else: return [] else: sample = qt.safe_str(filelist[0]) for filetype in fileTypeList: ftype = filetype.replace("(", "").replace(")","") extensions = ftype.split()[2:] for extension in extensions: if sample.endswith(extension[-3:]): filterused = filetype break else: fdialog = qt.QFileDialog(self) fdialog.setModal(True) fdialog.setWindowTitle(message) if hasattr(qt, "QStringList"): strlist = qt.QStringList() else: strlist = [] for filetype in fileTypeList: strlist.append(filetype.replace("(","").replace(")","")) if hasattr(fdialog, "setFilters"): fdialog.setFilters(strlist) else: fdialog.setNameFilters(strlist) fdialog.setFileMode(fdialog.ExistingFiles) fdialog.setDirectory(wdir) if QTVERSION > '4.3.0': history = fdialog.history() if len(history) > 6: fdialog.setHistory(history[-6:]) ret = fdialog.exec_() if ret == qt.QDialog.Accepted: filelist = fdialog.selectedFiles() if getfilter: filterused = qt.safe_str(fdialog.selectedFilter()) fdialog.close() del fdialog else: fdialog.close() del fdialog if getfilter: return [], filterused else: return [] filelist = [qt.safe_str(x) for x in filelist] if getfilter: return filelist, filterused else: return filelist def __roiImaging(self): if self.__imagingTool is None: rgbWidget = None try: widget = QStackWidget.QStackWidget(mcawidget=self.mcaWindow, rgbwidget=rgbWidget, master=True) widget.notifyCloseEventToWidget(self) self.__imagingTool = id(widget) self._widgetDict[self.__imagingTool] = widget #w = StackSelector.StackSelector(self) #stack = w.getStack() widget.loadStack() widget.show() except IOError: widget = None del self._widgetDict[self.__imagingTool] self.__imagingTool = None msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) txt = "Input Output Error: %s" % (sys.exc_info()[1]) msg.setInformativeText(txt) msg.setDetailedText(traceback.format_exc()) msg.exec_() return except: widget = None del self._widgetDict[self.__imagingTool] self.__imagingTool = None msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) txt = "Error info = %s" % (sys.exc_info()[1]) msg.setInformativeText(txt) msg.setDetailedText(traceback.format_exc()) msg.exec_() return else: widget = self._widgetDict[self.__imagingTool] if widget.isHidden(): widget.show() widget.raise_() def customEvent(self, event): if hasattr(event, 'dict'): ddict = event.dict if 'event' in ddict: if ddict['event'] == "closeEventSignal": if ddict['id'] in self._widgetDict: if ddict['id'] == self.__imagingTool: self.__imagingTool = None del self._widgetDict[ddict['id']] def __xiaCorrect(self): qApp = qt.QApplication.instance() XiaCorrect.mainGUI(qApp) def _xrfmcPyMca(self): if self._xrfmcTool is None: self._xrfmcTool = XRFMCPyMca.XRFMCPyMca() self._xrfmcTool.show() self._xrfmcTool.raise_() def _sumRules(self): if self._sumRulesTool is None: self._sumRulesTool = SumRulesTool.SumRulesWindow() self._sumRulesTool.show() self._sumRulesTool.raise_() def onOpen(self): self.openMenu.exec_(self.cursor().pos()) def onSave(self): self._saveAs() def onSaveAs(self): index = self.mainTabWidget.currentIndex() text = str(self.mainTabWidget.tabText(index)) self.saveMenu = qt.QMenu() self.saveMenu.addAction("PyMca Configuration", self._onSaveAs) if text.upper() == 'MCA': self.saveMenu.addAction("Active Mca", self.mcaWindow._saveIconSignal) elif text.upper() == 'SCAN': self.saveMenu.addAction("Active Scan", self.scanWindow._saveIconSignal) elif text in self.imageWindowDict.keys(): self.saveMenu.addAction("Active Image", self.imageWindowDict[text].graphWidget._saveIconSignal) self.saveMenu.exec_(self.cursor().pos()) def _onSaveAs(self): cwd = os.getcwd() outfile = qt.QFileDialog(self) if hasattr(outfile, "setFilters"): outfile.setFilters(['PyMca *.ini']) else: outfile.setNameFilters(['PyMca *.ini']) outfile.setFileMode(outfile.AnyFile) outfile.setAcceptMode(qt.QFileDialog.AcceptSave) if os.path.exists(self.configDir): cwd =self.configDir outfile.setDirectory(cwd) ret = outfile.exec_() if ret: if hasattr(outfile, "selectedFilter"): filterused = qt.safe_str(outfile.selectedFilter()).split() else: filterused = qt.safe_str(outfile.selectedNameFilter()).split() extension = ".ini" outdir=qt.safe_str(outfile.selectedFiles()[0]) try: outputDir = os.path.dirname(outdir) except: outputDir = "." try: outputFile = os.path.basename(outdir) except: outputFile = "PyMca.ini" outfile.close() del outfile else: outfile.close() del outfile return #always overwrite for the time being if len(outputFile) < len(extension[:]): outputFile += extension[:] elif outputFile[-4:] != extension[:]: outputFile += extension[:] filename = os.path.join(outputDir, outputFile) if os.path.exists(filename): try: os.remove(filename) except IOError: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) txt = "Input Output Error: %s" % (sys.exc_info()[1]) msg.setInformativeText(txt) msg.setDetailedText(traceback.format_exc()) msg.exec_() return try: self._saveAs(filename) self.configDir = outputDir except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error Saving Configuration: %s" % (sys.exc_info()[1])) msg.exec_() return def _saveAs(self, filename=None): if filename is None: filename = self.__getDefaultSettingsFile() self.saveConfig(self.getConfig(), filename) def __getDefaultSettingsFile(self): filename = "PyMca.ini" if sys.platform == 'win32': # recipe based on: http://bugs.python.org/issue1763#msg62242 dll = ctypes.windll.shell32 buf = ctypes.create_unicode_buffer(MAX_PATH + 1) if dll.SHGetSpecialFolderPathW(None, buf, 0x0005, False): directory = buf.value else: # the above should have worked home = os.getenv('USERPROFILE') try: l = len(home) directory = os.path.join(home, "My Documents") except: home = '\\' directory = '\\' #print home #print directory if os.path.isdir('%s' % directory): directory = os.path.join(directory, "PyMca") else: #print "My Documents is not there" directory = os.path.join(home, "PyMca") if not os.path.exists('%s' % directory): #print "PyMca directory not present" os.mkdir('%s' % directory) #print filename finalfile = os.path.join(directory, filename) #print finalfile else: home = os.getenv('HOME') directory = os.path.join(home, "PyMca") if not os.path.exists('%s' % directory): os.mkdir('%s' % directory) finalfile = os.path.join(directory, filename) return finalfile def loadTrainingData(self): try: source = os.path.join(PyMcaDataDir.PYMCA_DATA_DIR, 'XRFSpectrum.mca') self.sourceWidget.sourceSelector.openSource(source) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Error opening data source") msg.setText("Cannot open data source %s" % source) msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() def openSource(self,index=0): if DEBUG: print("index = %d " % index) if index <= 0: outfile = qt.QFileDialog(self) outfile.setWindowTitle("Select PyMca Configuration File") if os.path.exists(self.configDir): outfile.setDirectory(self.configDir) if hasattr(outfile, "setFilters"): outfile.setFilters(['PyMca *.ini']) else: outfile.setNameFilters(['PyMca *.ini']) outfile.setFileMode(outfile.ExistingFile) ret = outfile.exec_() if ret: filename = qt.safe_str(outfile.selectedFiles()[0]) outfile.close() del outfile else: outfile.close() del outfile return currentConfigDict = ConfigDict.ConfigDict() self.configDir = os.path.dirname(filename) currentConfigDict.read(filename) self.setConfig(currentConfigDict) return else: index -= 1 source = SOURCESLIST[index] if self.sourceFrame.isHidden(): self.sourceFrame.show() self.sourceFrame.raise_() self.sourceBrowserTab.showPage(self.sourceWidget[source]) qApp = qt.QApplication.instance() qApp.processEvents() self.sourceWidget[source].openFile() def onMenuHelp(self): if self.menuBrowser is None: self.menuBrowser= qt.QTextBrowser() self.menuBrowser.setWindowTitle(QString("Main Menu Help")) ddir=PyMcaDataDir.PYMCA_DOC_DIR if not os.path.exists(os.path.join(ddir,"HTML","Menu.html")): ddir = os.path.dirname(ddir) self.menuBrowser.setSearchPaths([os.path.join(ddir,"HTML")]) self.menuBrowser.setSource(qt.QUrl(QString("Menu.html"))) self.menuBrowser.show() if self.menuBrowser.isHidden(): self.menuBrowser.show() self.menuBrowser.raise_() def onDisplayHowto(self): if self.displayBrowser is None: self.displayBrowser= qt.QTextBrowser() self.displayBrowser.setWindowTitle(QString("Data Display HOWTO")) ddir=PyMcaDataDir.PYMCA_DOC_DIR if not os.path.exists(os.path.join(ddir,"HTML","Display-HOWTO.html")): ddir = os.path.dirname(ddir) self.displayBrowser.setSearchPaths([os.path.join(ddir,"HTML")]) self.displayBrowser.setSource(qt.QUrl(QString("Display-HOWTO.html"))) self.displayBrowser.show() if self.displayBrowser.isHidden(): self.displayBrowser.show() self.displayBrowser.raise_() def onMcaHowto(self): if self.mcaBrowser is None: self.mcaBrowser= MyQTextBrowser() self.mcaBrowser.setWindowTitle(QString("MCA HOWTO")) ddir=PyMcaDataDir.PYMCA_DOC_DIR if not os.path.exists(ddir+"/HTML"+"/MCA-HOWTO.html"): ddir = os.path.dirname(ddir) self.mcaBrowser.setSearchPaths([os.path.join(ddir,"HTML"), os.path.join(ddir,"HTML", "PyMCA_files"), os.path.join(ddir,"HTML", "images")]) self.mcaBrowser.setSource(qt.QUrl(QString("MCA-HOWTO.html"))) #f = open(os.path.join(dir,"HTML","MCA-HOWTO.html")) #self.mcaBrowser.setHtml(f.read()) #f.close() self.mcaBrowser.show() if self.mcaBrowser.isHidden(): self.mcaBrowser.show() self.mcaBrowser.raise_() def onAbout(self): qt.QMessageBox.about(self, "PyMca", "PyMca Application\nVersion: "+__version__) #self.onDebug() def onChanges(self): if self.changeLog is None: self.changeLog = qt.QTextEdit() self.changeLog.setCursor(self.cursor()) self.changeLog.setWindowTitle("PyMCA %s Changes" % __version__) self.changeLog.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) # Does this belong to the data dir or the doc dir? mpath = PyMcaDataDir.PYMCA_DATA_DIR fname = os.path.join(mpath,'changelog.txt') if not os.path.exists(fname): while len(mpath) > 3: fname = os.path.join(mpath,'changelog.txt') #print "looking for ", fname if not os.path.exists(fname): mpath = os.path.dirname(mpath) else: break if os.path.exists(fname): self.log = ChangeLog.ChangeLog(textfile='changelog.txt') self.changeLog.setDocument(self.log) self.changeLog.setMinimumWidth(500) else: self.log = ChangeLog.ChangeLog() self.log.setPlainText('Cannot find file changelog.txt') self.changeLog.show() def onDebug(self): print("Module name PyQt ",qt.PYQT_VERSION_STR) for module in sys.modules.values(): try: if 'Revision' in module.__revision__: if module.__name__ != "__main__": print("Module name = ",module.__name__,module.__revision__.replace("$","")) except: pass def onPrint(self): if DEBUG: print("onPrint called") if not self.scanWindow.isHidden(): self.scanWindow.printGraph() return if not self.__useTabWidget: self.mcaWindow.show() self.mcaWindow.raise_() else: self.mainTabWidget.setCurrentWidget(self.mcaWindow) self.mcaWindow.printGraph() if 0: # # GraphWindow operations # def openGraph(self,name="MCA Graph"): """ Creates a new GraphWindow on the MDI """ self.setFollowActiveWindow(0) #name= self.__getNewGraphName() if name == "MCA Graph": graph= McaWindow.McaWindow(self.mdi, name=name) graph.windowClosed[()].connect(self.closeGraph) graph.show() if len(self.mdi.windowList())==1: graph.showMaximized() else: self.windowTile() self.setFollowActiveWindow(1) def getActiveGraph(self): """ Return active GraphWindow instance or a new one """ graph= self.mdi.activeWindow() if graph is None: graph= self.openGraph() return graph def getGraph(self, name): """ Return GraphWindow instance indexed by name Or None if not found """ for graph in self.mdi.windowList(): if qt.safe_str(graph.caption())== name: return graph return None def closeGraph(self, name): """ Called after a graph is closed """ print("closeGraph", name) def __getGraphNames(self): return [ str(window.caption()) for window in self.mdi.windowList() ] def __getNewGraphName(self): names= self.__getGraphNames() idx= 0 while "Graph %d"%idx in names: idx += 1 return "Graph %d"%(idx) class MyQTextBrowser(qt.QTextBrowser): def setSource(self, name): if name == QString("./PyMCA.html") or ("PyMCA.html" in ("%s" % name)): if sys.platform == 'win32': ddir=PyMcaDataDir.PYMCA_DOC_DIR if not os.path.exists(os.path.join(ddir, "HTML", "PyMCA.html")): ddir = os.path.dirname(ddir) cmd = os.path.join(ddir,"HTML", "PyMCA.pdf") os.system('"%s"' % cmd) return try: self.report.show() except: self.report = qt.QTextBrowser() self.report.setCaption(QString("PyMca Report")) ddir=PyMcaDataDir.PYMCA_DOC_DIR self.report.mimeSourceFactory().addFilePath(QString(ddir+"/HTML")) self.report.mimeSourceFactory().addFilePath(QString(ddir+"/HTML/PyMCA_files")) self.report.setSource(name) if self.report.isHidden():self.report.show() self.report.raiseW() else: qt.QTextBrowser.setSource(self, name) class Line(qt.QFrame): sigLineDoubleClickEvent = qt.pyqtSignal(object) def mouseDoubleClickEvent(self,event): if DEBUG: print("Double Click Event") ddict={} ddict['event']="DoubleClick" ddict['data'] = event self.sigLineDoubleClickEvent.emit(ddict) class PixmapLabel(qt.QLabel): sigPixmapLabelMousePressEvent = qt.pyqtSignal(object) def mousePressEvent(self,event): if DEBUG: print("Mouse Press Event") ddict={} ddict['event']="MousePress" ddict['data'] = event self.sigPixmapLabelMousePressEvent.emit(ddict) if __name__ == '__main__': PROFILING = 0 if PROFILING: import profile import pstats PyMcaMainWidgetInstance = PyMcaMain(**keywords) if nativeFileDialogs is not None: PyMcaDirs.nativeFileDialogs = nativeFileDialogs if debugreport: PyMcaMainWidgetInstance.onDebug() app.lastWindowClosed.connect(app.quit) splash.finish(PyMcaMainWidgetInstance) PyMcaMainWidgetInstance.show() PyMcaMainWidgetInstance.raise_() PyMcaMainWidgetInstance.mcaWindow.replot() #try to interpret rest of command line arguments as data sources try: for source in args: PyMcaMainWidgetInstance.sourceWidget.sourceSelector.openSource(source) except: msg = qt.QMessageBox(PyMcaMainWidgetInstance) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Error opening data source") msg.setText("Cannot open data source %s" % source) msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() if PROFILING: profile.run('sys.exit(app.exec_())',"test") p=pstats.Stats("test") p.strip_dirs().sort_stats(-1).print_stats() else: sys.exit(app.exec_()) PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/StackBrowser.py0000644000276300001750000003164313136054446021610 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import numpy from PyMca5.PyMcaGui import MaskImageWidget from PyMca5.PyMcaGui import FrameBrowser from PyMca5.PyMcaCore import DataObject qt = MaskImageWidget.qt IconDict = MaskImageWidget.IconDict DEBUG = 0 class StackBrowser(MaskImageWidget.MaskImageWidget): def __init__(self, *var, **kw): ddict = {} ddict['usetab'] = kw.get("usetab", False) ddict['aspect'] = kw.get("aspect", True) ddict.update(kw) ddict['standalonesave'] = True MaskImageWidget.MaskImageWidget.__init__(self, *var, **ddict) self.setWindowTitle("Stack Browser") self.dataObjectsList = [] self.dataObjectsDict = {} self.nameBox = qt.QWidget(self) self.nameBox.mainLayout = qt.QHBoxLayout(self.nameBox) self.nameLabel = qt.QLabel(self.nameBox) self.nameLabel.setText("Image Name = ") self.name = qt.QLineEdit(self.nameBox) self.nameBox.mainLayout.addWidget(self.nameLabel) self.nameBox.mainLayout.addWidget(self.name) self.roiWidthLabel = qt.QLabel(self.nameBox) self.roiWidthLabel.setText("Width = ") self.roiWidthSpin = qt.QSpinBox(self.nameBox) self.roiWidthSpin.setMinimum(1) self.roiWidthSpin.setMaximum(9999) self.roiWidthSpin.setValue(1) self.roiWidthSpin.setSingleStep(2) self.nameBox.mainLayout.addWidget(self.roiWidthLabel) self.nameBox.mainLayout.addWidget(self.roiWidthSpin) self.slider = FrameBrowser.HorizontalSliderWithBrowser(self) self.slider.setRange(0, 0) self.mainLayout.addWidget(self.nameBox) self.mainLayout.addWidget(self.slider) self.roiWidthSpin.valueChanged[int].connect(self._roiWidthSlot) self.slider.valueChanged[int].connect(self._showImageSliderSlot) self.name.editingFinished[()].connect(self._nameSlot) self.backgroundIcon = qt.QIcon(qt.QPixmap(IconDict["subtract"])) infotext = 'Toggle background image subtraction from current image\n' infotext += 'No action if no background image available.' self.backgroundIcon = qt.QIcon(qt.QPixmap(IconDict["subtract"])) self.backgroundButton = self.graphWidget._addToolButton(\ self.backgroundIcon, self.subtractBackground, infotext, toggle = True, state = False, position = 6) self._backgroundSubtraction = False self.slider.hide() self.buildAndConnectImageButtonBox(replace=True) def setBackgroundImage(self, image=None): self._backgroundImage = image if self._backgroundSubtraction: self.subtractBackground() def setStackDataObject(self, stack, index=None, stack_name=None): if hasattr(stack, "info") and hasattr(stack, "data"): dataObject = stack else: dataObject = DataObject.DataObject() dataObject.info = {} dataObject.data = stack if dataObject.data is None: return if stack_name is None: legend = dataObject.info.get('SourceName', "Stack") else: legend = stack_name if index is None: mcaIndex = dataObject.info.get('McaIndex', 0) else: mcaIndex = index shape = dataObject.data.shape self.dataObjectsList = [legend] self.dataObjectsDict = {legend:dataObject} self._browsingIndex = mcaIndex if mcaIndex == 0: if len(shape) == 2: self._nImages = 1 self.setImageData(dataObject.data) self.slider.hide() self.name.setText(legend) else: self._nImages = 1 for dimension in dataObject.data.shape[:-2]: self._nImages *= dimension #This is a problem for dynamic data #dataObject.data.shape = self._nImages, shape[-2], shape[-1] data = self._getImageDataFromSingleIndex(0) self.setImageData(data) self.slider.setRange(0, self._nImages - 1) self.slider.setValue(0) self.slider.show() self.name.setText(legend+" 0") elif mcaIndex in [len(shape)-1, -1]: mcaIndex = -1 self._browsingIndex = mcaIndex if len(shape) == 2: self._nImages = 1 self.setImageData(dataObject.data) self.slider.hide() self.name.setText(legend) else: self._nImages = 1 for dimension in dataObject.data.shape[2:]: self._nImages *= dimension #This is a problem for dynamic data #dataObject.data.shape = self._nImages, shape[-2], shape[-1] data = self._getImageDataFromSingleIndex(0) self.setImageData(data) self.slider.setRange(0, self._nImages - 1) self.slider.setValue(0) self.slider.show() self.name.setText(legend+" 0") else: raise ValueError("Unsupported 1D index %d" % mcaIndex) if self._nImages > 1: self.showImage(0) else: self.plotImage() def subtractBackground(self): if self.backgroundButton.isChecked(): self._backgroundSubtraction = True else: self._backgroundSubtraction = False index = self.slider.value() self._showImageSliderSlot(index) def _roiWidthSlot(self, width): index = self.slider.value() self._showImageSliderSlot(index) def _getImageDataFromSingleIndex(self, index, width=None, background=None): if width is None: width = int(0.5*(self.roiWidthSpin.value() - 1)) if width < 1: width = 0 if background is None: background = self._backgroundSubtraction if not len(self.dataObjectsList): if DEBUG: print("nothing to show") return legend = self.dataObjectsList[0] if type(legend) == type([]): legend = legend[index] dataObject = self.dataObjectsDict[legend] shape = dataObject.data.shape if len(shape) == 2: if index > 0: raise IndexError("Only one image in stack") return dataObject.data if self._browsingIndex == 0: if len(shape) == 3: if width < 1: data = dataObject.data[index:index+1,:,:] data.shape = data.shape[1:] else: i0 = index - width i1 = index + width + 1 i0 = max(i0, 0) i1 = min(i1, shape[0]) if background: data = dataObject.data[i0:i1,:,:] backgroundData = 0.5*(i1-i0)*\ (data[0, :, :]+data[-1, :,:]) data = data.sum(axis=0) - backgroundData else: data = dataObject.data[i0:i1,:,:].sum(axis=0) data /= float(i1-i0) return data #I have to deduce the appropriate indices from the given index #always assuming C order acquisitionShape = dataObject.data.shape[:-2] if len(shape) == 4: if width < 1: j = index % acquisitionShape[-1] i = int(index/(acquisitionShape[-1]*acquisitionShape[-2])) return dataObject.data[i, j] else: npoints = (acquisitionShape[-1]*acquisitionShape[-2]) i0 = max(index - width, 0) i1 = min(index + width + 1, npoints) for tmpIndex in range(i0, i1): j = tmpIndex % acquisitionShape[-1] i = int(index/npoints) if tmpIndex == i0: data = dataObject.data[i, j] backgroundData = data * 1 elif tmpIndex == (i1-1): tmpData = dataObject.data[i, j] backgroundData = 0.5*(i1-i0)*\ (background+tmpData) data += tmpData else: data += dataObject.data[i, j] if background: data -= backgroundData data /= float(i1-i0) return data elif self._browsingIndex == -1: if len(shape) == 3: if width < 1: data = dataObject.data[:,:,index:index+1] data.shape = data.shape[0], data.shape[1] else: i0 = index - width i1 = index + width + 1 i0 = max(i0, 0) i1 = min(i1, shape[-1]) if background: data = dataObject.data[:,:,i0:i1] backgroundData = 0.5*(i1-i0)*\ (data[:, :, 0]+data[:,:,-1]) data = data.sum(axis=-1) - backgroundData else: data = dataObject.data[:,:,i0:i1].sum(axis=-1) data /= float(i1-i0) return data raise IndexError("Unhandled dimension") def _showImageSliderSlot(self, index): self.showImage(index, moveslider=False) def _nameSlot(self): txt = str(self.name.text()) if len(txt): self.graphWidget.graph.setGraphTitle(txt) else: self.name.setText(self.graphWidget.graph.getTitle()) def _buildTitle(self, legend, index): width = int(0.5*(self.roiWidthSpin.value() - 1)) if width < 1: title = "%s %d" % (legend, index) else: title = "%s average %d to %d" % (legend, index - width, index + width) if self._backgroundSubtraction: title += " Net" return title def showImage(self, index=0, moveslider=True): if not len(self.dataObjectsList): return legend = self.dataObjectsList[0] dataObject = self.dataObjectsDict[legend] data = self._getImageDataFromSingleIndex(index) txt = self._buildTitle(legend, index) self.graphWidget.graph.setGraphTitle(txt) self.name.setText(txt) if self._backgroundSubtraction and (self._backgroundImage is not None): self.setImageData(data - self._backgroundImage) else: self.setImageData(data, clearmask=False) if moveslider: self.slider.setValue(index) self.updateProfileSelectionWindow() if __name__ == "__main__": #create a dummy stack nrows = 100 ncols = 200 nchannels = 1024 a = numpy.ones((nrows, ncols), numpy.float) stackData = numpy.zeros((nrows, ncols, nchannels), numpy.float) for i in range(nchannels): stackData[:, :, i] = a * i app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) w = StackBrowser() w.setStackDataObject(stackData, index=0) w.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/Median2DBrowser.py0000644000276300001750000001577613136054446022137 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import numpy try: from PyMca5.PyMcaGui.pymca import StackBrowser from PyMca5.PyMcaMath.PyMcaSciPy.signal import median except ImportError: print("Median2DBrowser problem!") medfilt2d = median.medfilt2d qt = StackBrowser.qt DEBUG = 0 class MedianParameters(qt.QWidget): def __init__(self, parent=None, use_conditional=False): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QHBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.label = qt.QLabel(self) self.label.setText("Median filter width: ") self.widthSpin = qt.QSpinBox(self) self.widthSpin.setMinimum(1) self.widthSpin.setMaximum(99) self.widthSpin.setValue(1) self.widthSpin.setSingleStep(2) if use_conditional: self.conditionalLabel = qt.QLabel(self) self.conditionalLabel.setText("Conditional:") self.conditionalSpin = qt.QSpinBox(self) self.conditionalSpin.setMinimum(0) self.conditionalSpin.setMaximum(1) self.conditionalSpin.setValue(0) self.mainLayout.addWidget(self.label) self.mainLayout.addWidget(self.widthSpin) if use_conditional: self.mainLayout.addWidget(self.conditionalLabel) self.mainLayout.addWidget(self.conditionalSpin) class Median2DBrowser(StackBrowser.StackBrowser): def __init__(self, *var, **kw): StackBrowser.StackBrowser.__init__(self, *var, **kw) self.setWindowTitle("Image Browser with Median Filter") self._medianParameters = {'use':True, 'row_width':5, 'column_width':5, 'conditional':0} self._medianParametersWidget = MedianParameters(self, use_conditional=1) self._medianParametersWidget.widthSpin.setValue(5) self.layout().addWidget(self._medianParametersWidget) self._medianParametersWidget.widthSpin.valueChanged[int].connect( \ self.setKernelWidth) self._medianParametersWidget.conditionalSpin.valueChanged[int].connect(\ self.setConditionalFlag) def setKernelWidth(self, value): kernelSize = numpy.asarray(value) if not (int(value) % 2): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Median filter error") msg.setText("One odd values accepted") msg.exec_() return if len(kernelSize.shape) == 0: kernelSize = [kernelSize.item()] * 2 self._medianParameters['row_width'] = kernelSize[0] self._medianParameters['column_width'] = kernelSize[1] self._medianParametersWidget.widthSpin.setValue(int(kernelSize[0])) current = self.slider.value() self.showImage(current, moveslider=False) def setConditionalFlag(self, value): self._medianParameters['conditional'] = int(value) self._medianParametersWidget.conditionalSpin.setValue(int(value)) current = self.slider.value() self.showImage(current, moveslider=False) def _buildTitle(self, legend, index): a = self._medianParameters['row_width'] b = self._medianParameters['column_width'] title = StackBrowser.StackBrowser._buildTitle(self, legend, index) if max(a, b) > 1: if self._medianParameters['conditional'] == 0: return "Median Filter (%d,%d) of %s" % (a, b, title) else: return "Conditional Median Filter (%d,%d) of %s" % (a, b, title) else: return title def showImage(self, index=0, moveslider=True): if not len(self.dataObjectsList): return legend = self.dataObjectsList[0] dataObject = self.dataObjectsDict[legend] data = self._getImageDataFromSingleIndex(index) if self._backgroundSubtraction and (self._backgroundImage is not None): self.setImageData(data - self._backgroundImage) else: self.setImageData(data, clearmask=False) txt = self._buildTitle(legend, index) self.graphWidget.graph.setGraphTitle(txt) self.name.setText(txt) if moveslider: self.slider.setValue(index) def setImageData(self, data, **kw): if self._medianParameters['use']: if max(self._medianParameters['row_width'], self._medianParameters['column_width']) > 1: conditional = self._medianParameters['conditional'] data = medfilt2d(data,[self._medianParameters['row_width'], self._medianParameters['column_width']], conditional=conditional) # this method is in fact of MaskImageWidget StackBrowser.StackBrowser.setImageData(self, data, **kw) if __name__ == "__main__": #create a dummy stack nrows = 100 ncols = 200 nchannels = 1024 a = numpy.ones((nrows, ncols), numpy.float) stackData = numpy.zeros((nrows, ncols, nchannels), numpy.float) for i in range(nchannels): if i % 10: stackData[:, :, i] = a * i else: stackData[:, :, i] = 10 * a * i app = qt.QApplication([]) app.lastWindowClosed[()].connect(app.quit) w = Median2DBrowser() w.setStackDataObject(stackData, index=0) w.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/PyMcaFileDialogs.py0000644000276300001750000000324113136054446022304 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" print("DEPRECATION WARNING: PyMcaFileDialogs.py moved to io directory") from PyMca5.PyMcaGui.io.PyMcaFileDialogs import * PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/McaSimpleFit.py0000644000276300001750000002732513136054446021516 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() from PyMca5.PyMcaGui.math.fitting import SpecfitGui from PyMca5.PyMcaMath.fitting import Specfit class McaSimpleFit(qt.QWidget): sigMcaSimpleFitSignal = qt.pyqtSignal(object) def __init__(self, parent=None, name="McaSimpleFit", specfit=None,fl=0): qt.QWidget.__init__(self, parent) self.setWindowTitle(name) if specfit is None: self.specfit = Specfit.Specfit() else: self.specfit = specfit layout = qt.QVBoxLayout(self) ############## self.headerlabel = qt.QLabel(self) self.headerlabel.setAlignment(qt.Qt.AlignHCenter) self.setheader('Fit of XXXXXXXXXX from Channel XXXXX to XXXX<\b>') ############## defaultFunctions = "SpecfitFunctions.py" if not os.path.exists(defaultFunctions): defaultFunctions = os.path.join(os.path.dirname(__file__), defaultFunctions) self.specfit.importfun(defaultFunctions) self.specfit.settheory('Area Gaussians') self.specfit.setbackground('Linear') fitconfig = {} fitconfig.update(self.specfit.fitconfig) fitconfig['WeightFlag'] = 1 fitconfig['McaMode'] = 1 self.specfit.configure(**fitconfig) self.specfitGui = SpecfitGui.SpecfitGui(self,config=1, status=1, buttons=0, specfit = self.specfit,eh=self.specfit.eh) layout.addWidget(self.headerlabel) layout.addWidget(self.specfitGui) hbox = qt.QWidget(self) hboxLayout = qt.QHBoxLayout(hbox) self.estimatebutton = qt.QPushButton(hbox) self.estimatebutton.setText("Estimate") hs1 = qt.HorizontalSpacer(hbox) self.fitbutton = qt.QPushButton(hbox) self.fitbutton.setText("Fit Again!") self.dismissbutton = qt.QPushButton(hbox) self.dismissbutton.setText("Dismiss") self.estimatebutton.clicked.connect(self.estimate) self.fitbutton.clicked.connect(self.fit) self.dismissbutton.clicked.connect(self.dismiss) self.specfitGui.sigSpecfitGuiSignal.connect(self.__anasignal) hs2 = qt.HorizontalSpacer(hbox) hboxLayout.addWidget(hs1) hboxLayout.addWidget(self.estimatebutton) hboxLayout.addWidget(self.fitbutton) hboxLayout.addWidget(self.dismissbutton) hboxLayout.addWidget(hs2) layout.addWidget(hbox) self.estimatebutton.hide() def setdata(self,*var,**kw): self.info ={} if 'legend' in kw: self.info['legend'] = kw['legend'] del kw['legend'] else: self.info['legend'] = 'Unknown Origin' if 'xlabel' in kw: self.info['xlabel'] = kw['xlabel'] del kw['xlabel'] else: self.info['xlabel'] = 'X' self.specfit.setdata(var,**kw) try: self.info['xmin'] = "%.3f" % min(self.specfit.xdata[0], self.specfit.xdata[-1]) except: self.info['xmin'] = 'First' try: self.info['xmax'] = "%.3f" % max(self.specfit.xdata[0], self.specfit.xdata[-1]) except: self.info['xmax'] = 'Last' self.setheader(text="Fit of %s from %s %s to %s" % (self.info['legend'], self.info['xlabel'], self.info['xmin'], self.info['xmax'])) def setheader(self,*var,**kw): if len(var): text = var[0] elif 'text' in kw: text = kw['text'] elif 'header' in kw: text = kw['header'] else: text = "" self.headerlabel.setText("%s<\b>" % text) def fit(self): if self.specfit.fitconfig['McaMode']: fitconfig = {} fitconfig.update(self.specfit.fitconfig) self.specfitGui.updateGui(configuration=fitconfig) #the GUI already takes care of mcafit self.specfitGui.estimate() else: #self.specfitGui.estimate() self.specfitGui.startfit() def estimate(self): fitconfig = {} fitconfig.update(self.specfit.fitconfig) self.specfitGui.updateGui(configuration=fitconfig) self.specfitGui.estimate() def _emitSignal(self, ddict): self.sigMcaSimpleFitSignal.emit(ddict) def __anasignal(self,ddict): if type(ddict) != type({}): return if 'event' in ddict: if ddict['event'].upper() == "PRINT": h = self.__htmlheader() if __name__ == "__main__": self.__print(h+ddict['text']) else: ndict={} ndict['event'] = "McaSimpleFitPrint" ndict['text' ] = h+ddict['text'] ndict['info' ] = {} ndict['info'].update(self.info) self.sigMcaSimpleFitSignal.emit(ndict) if ddict['event'] == "McaModeChanged": if ddict['data']: self.estimatebutton.hide() else: self.estimatebutton.show() else: ddict['info'] = {} ddict['info'].update(self.info) if ddict['event'] == 'FitFinished': #write the simple fit output in a form acceptable by McaWindow ddict['event'] = 'McaFitFinished' ddict['data'] = [self.specfitGui.specfit.mcagetresult()] self.sigMcaSimpleFitSignal.emit(ddict) def dismiss(self): self.close() def closeEvent(self, event): ddict = {} ddict["event"] = "McaSimpleFitClosed" self.sigMcaSimpleFitSignal.emit(ddict) return qt.QWidget.closeEvent(self, event) def __htmlheader(self): try: header="Fit of %s from %s %s to %s" % (self.info['legend'], self.info['xlabel'], self.info['xmin'], self.info['xmax']) except: header = 'Fit of XXXXXXXXXX from Channel XXXXX to XXXX' if self.specfit.fitconfig['WeightFlag']: weight = "YES" else: weight = "NO" if self.specfit.fitconfig['McaMode']: mode = "YES" else: mode = "NO" theory = self.specfit.fitconfig['fittheory'] bkg = self.specfit.fitconfig['fitbkg'] fwhm = self.specfit.fitconfig['FwhmPoints'] scaling = self.specfit.fitconfig['Yscaling'] h="" h+="

" h+="%s" % header h+="

" h+="" h+="" h+=" " h+=" " h+=" " % theory h+=" " h+=" " h+=" " h+=" " % weight h+=" " h+=" " h+=" " h+=" " % fwhm h+="" h+="" h+=" " h+=" " % bkg h+=" " h+=" " h+=" " h+=" " % mode h+=" " h+=" " h+=" " h+=" " % scaling h+="" h+="
Function:%sWeight:%sFWHM:%d
Background" h+=" :%sMCA Mode:%sScaling:%g
" h+="
" return h def __print(self,text): printer = qt.QPrinter() if printer.setup(self): painter = qt.QPainter() if not(painter.begin(printer)): return 0 try: metrics = qt.QPaintDeviceMetrics(printer) dpiy = metrics.logicalDpiY() margin = int((2/2.54) * dpiy) #2cm margin body = qt.QRect(0.5*margin, margin, metrics.width()- 1 * margin, metrics.height() - 2 * margin) #text = self.mcatable.gettext() #html output -> print text richtext = qt.QSimpleRichText(text, qt.QFont(), qt.QString(""), #0, qt.QStyleSheet.defaultSheet(), qt.QMimeSourceFactory.defaultFactory(), body.height()) view = qt.QRect(body) richtext.setWidth(painter,view.width()) page = 1 while(1): richtext.draw(painter,body.left(),body.top(), view,qt.QColorGroup()) view.moveBy(0, body.height()) painter.translate(0, -body.height()) painter.drawText(view.right() - painter.fontMetrics().width(qt.QString.number(page)), view.bottom() - painter.fontMetrics().ascent() + 5,qt.QString.number(page)) if view.top() >= richtext.height(): break printer.newPage() page += 1 #painter.flush() painter.end() except: #painter.flush() painter.end() msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("%s" % sys.exc_info()[1]) msg.exec_loop() if __name__ == "__main__": import sys app = qt.QApplication(sys.argv) demo = McaSimpleFit() demo.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/RGBCorrelatorTable.py0000644000276300001750000002200013136054446022601 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt DEBUG = 0 class RGBCorrelatorTable(qt.QTableWidget): sigRGBCorrelatorTableSignal = qt.pyqtSignal(object) def __init__(self, parent=None): qt.QTableWidget.__init__(self, parent) self.elementList = [] self.rSelection = [] self.gSelection = [] self.bSelection = [] labels = ['Element', 'R', 'G', 'B', 'Data Min', "Data Max"] self.setColumnCount(len(labels)) for i in range(len(labels)): item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(labels[i], qt.QTableWidgetItem.Type) item.setText(labels[i]) self.setHorizontalHeaderItem(i,item) rheight = self.horizontalHeader().sizeHint().height() self.setMinimumHeight(5*rheight) self.resizeColumnToContents(1) self.resizeColumnToContents(2) self.resizeColumnToContents(3) def build(self, elementlist): self.elementList = elementlist n = len(elementlist) self.setRowCount(n) if n > 0: rheight = self.horizontalHeader().sizeHint().height() for i in range(n): self.setRowHeight(i, rheight) self._addLine(i, elementlist[i]) self.resizeColumnToContents(1) self.resizeColumnToContents(2) self.resizeColumnToContents(3) def _addLine(self, i, cntlabel): #the counter name item = self.item(i, 0) if item is None: item = qt.QTableWidgetItem(cntlabel, qt.QTableWidgetItem.Type) item.setTextAlignment(qt.Qt.AlignHCenter | qt.Qt.AlignVCenter) self.setItem(i, 0, item) else: item.setText(cntlabel) #item is enabled and selectable item.setFlags(qt.Qt.ItemIsEnabled | qt.Qt.ItemIsSelectable) #the checkboxes for j in range(1, 4, 1): widget = self.cellWidget(i, j) if widget is None: widget = CheckBoxItem(self, i, j) self.setCellWidget(i, j, widget) widget.sigCheckBoxItemSignal.connect(self._mySlot) else: pass def _mySlot(self, ddict): row = ddict["row"] col = ddict["col"] if col == 1: if ddict["state"]: if row not in self.rSelection: self.rSelection.append(row) else: if row in self.rSelection: del self.rSelection[self.rSelection.index(row)] if len(self.rSelection) > 1: self.rSelection = self.rSelection[-1:] if col == 2: if ddict["state"]: if row not in self.gSelection: self.gSelection.append(row) else: if row in self.gSelection: del self.gSelection[self.gSelection.index(row)] if len(self.gSelection) > 1: self.gSelection = self.gSelection[-1:] if col == 3: if ddict["state"]: if row not in self.bSelection: self.bSelection.append(row) else: if row in self.bSelection: del self.bSelection[self.bSelection.index(row)] if len(self.bSelection) > 1: self.bSelection = self.bSelection[-1:] #I should check if there is a change ... self._update() def _emitSignal(self): ddict = self.getElementSelection() ddict['event'] = "updated" self.sigRGBCorrelatorTableSignal.emit(ddict) def _update(self): for i in range(self.rowCount()): j = 1 widget = self.cellWidget(i, j) if i in self.rSelection: if not widget.isChecked(): widget.setChecked(True) else: if widget.isChecked(): widget.setChecked(False) j = 2 widget = self.cellWidget(i, j) if i in self.gSelection: if not widget.isChecked(): widget.setChecked(True) else: if widget.isChecked(): widget.setChecked(False) j = 3 widget = self.cellWidget(i, j) if i in self.bSelection: if not widget.isChecked(): widget.setChecked(True) else: if widget.isChecked(): widget.setChecked(False) self._emitSignal() def getElementSelection(self): ddict = {} ddict['elementlist'] = self.elementList * 1 n = len(self.elementList) if n == 0: self.rSelection = [] self.gSelection = [] self.bSelection = [] if len(self.rSelection): if self.rSelection[0] >= n: self.rSelection = [] if len(self.gSelection): if self.gSelection[0] >= n: self.gSelection = [] if len(self.bSelection): if self.bSelection[0] >= n: self.bSelection = [] ddict['r'] = self.rSelection * 1 ddict['g'] = self.gSelection * 1 ddict['b'] = self.bSelection * 1 return ddict def setElementSelection(self, ddict): keys = ddict.keys() if 'elementlist' in keys: elementlist = ddict['elementlist'] else: elementlist = self.elementList * 1 if 'r' in keys: x = ddict['r'] else: x = [] if 'g' in keys: y = ddict['g'] else: y = [] if 'b' in keys: monitor = ddict['b'] else: monitor = [] self.rSelection = [] for item in x: if item < len(elementlist): counter = elementlist[item] if 0: if counter in self.elementList: self.rSelection.append(self.elementList.index(counter)) else: self.rSelection.append(item) self.gSelection = [] for item in y: if item < len(elementlist): counter = elementlist[item] if counter in self.elementList: self.gSelection.append(self.elementList.index(counter)) self.bSelection = [] for item in monitor: if item < len(elementlist): counter = elementlist[item] if counter in self.elementList: self.bSelection.append(self.elementList.index(counter)) self._update() class CheckBoxItem(qt.QCheckBox): sigCheckBoxItemSignal = qt.pyqtSignal(object) def __init__(self, parent, row, col): qt.QCheckBox.__init__(self, parent) self.__row = row self.__col = col self.clicked[bool].connect(self._mySignal) def _mySignal(self, value): ddict = {} ddict["event"] = "clicked" ddict["state"] = value ddict["row"] = self.__row * 1 ddict["col"] = self.__col * 1 self.sigCheckBoxItemSignal.emit(ddict) def main(): app = qt.QApplication([]) def slot(ddict): print("received dict = ", ddict) tab = RGBCorrelatorTable() tab.sigRGBCorrelatorTableSignal.connect(slot) tab.build(["Cnt1", "Cnt2", "Cnt3"]) tab.setElementSelection({'r':[1], 'g':[4], 'elementlist':["dummy", "Ca K", "Fe K", "Pb M", "U l"]}) tab.show() app.exec_() if __name__ == "__main__": main() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/__init__.py0000644000276300001750000000000013136054446020715 0ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/StackXASBatchWindow.py0000644000276300001750000001563513136054446022755 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import numpy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from PyMca5.PyMcaGui import PyMcaFileDialogs DEBUG = 0 class StackXASBatchWindow(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.setWindowTitle("StackXASBatchWindow") self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) # configuration file configLabel = qt.QLabel(self) configLabel.setText("XAS Configuration File:") self._configLine = qt.QLineEdit(self) self._configLine.setReadOnly(True) self._configButton = qt.QPushButton(self) self._configButton.setText("Browse") self._configButton.setAutoDefault(False) self._configButton.clicked.connect(self.browseConfigurationFile) # output directory outLabel = qt.QLabel(self) outLabel.setText("Output dir:") self._outLine = qt.QLineEdit(self) self._outLine.setReadOnly(True) self._outButton = qt.QPushButton(self) self._outButton.setText('Browse') self._outButton.setAutoDefault(False) self._outButton.clicked.connect(self.browseOutputDir) # output file name fileLabel = qt.QLabel(self) fileLabel.setText("Output file root:") self._fileLine = qt.QLineEdit(self) self._fileLine.setReadOnly(False) self._fileLine.setText("XAS_Result") boxLabel = qt.QLabel(self) boxLabel.setText("Options:") self._boxContainer = qt.QWidget(self) self._boxContainerLayout = qt.QHBoxLayout(self._boxContainer) self._boxContainerLayout.setContentsMargins(0, 0, 0, 0) self._boxContainerLayout.setSpacing(0) # Mask self._maskBox = qt.QCheckBox(self._boxContainer) self._maskBox.setText("Use selection mask") self._maskBox.setChecked(True) self._maskBox.setEnabled(False) text = "If pixels are currently selected, only the spectra\n" text += "associated to those pixels will be analyzed" self._maskBox.setToolTip(text) self._boxContainerLayout.addWidget(self._maskBox) self.mainLayout.addWidget(configLabel, 0, 0) self.mainLayout.addWidget(self._configLine, 0, 1) self.mainLayout.addWidget(self._configButton, 0, 2) self.mainLayout.addWidget(outLabel, 1, 0) self.mainLayout.addWidget(self._outLine, 1, 1) self.mainLayout.addWidget(self._outButton, 1, 2) self.mainLayout.addWidget(fileLabel, 2, 0) self.mainLayout.addWidget(self._fileLine, 2, 1) self.mainLayout.addWidget(boxLabel, 3, 0) self.mainLayout.addWidget(self._boxContainer, 3, 1, 1, 1) def sizeHint(self): return qt.QSize(int(1.8 * qt.QWidget.sizeHint(self).width()), qt.QWidget.sizeHint(self).height()) def browseConfigurationFile(self): f = PyMcaFileDialogs.getFileList(parent=self, filetypelist=["Configuration files (*.ini)", "Configuration files (*.cfg)"], message="Open a XAS configuration file", mode="OPEN", single=True) if len(f): self._configLine.setText(f[0]) def browseOutputDir(self): f = PyMcaFileDialogs.getExistingDirectory(parent=self, message="Please select output directory", mode="OPEN") if len(f): self._outLine.setText(f) def getParameters(self): ddict = {} ddict['configuration'] = qt.safe_str(self._configLine.text()) ddict['output_dir'] = qt.safe_str(self._outLine.text()) ddict['file_root'] = qt.safe_str(self._fileLine.text()) if self._maskBox.isChecked(): ddict['mask'] = 1 else: ddict['mask'] = 0 return ddict class StackXASBatchDialog(qt.QDialog): def __init__(self, parent=None): qt.QDialog.__init__(self, parent) self.setWindowTitle("Stack XAS Batch Dialog") self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(10, 10, 10, 10) self.parametersWidget = StackXASBatchWindow(self) self.rejectButton= qt.QPushButton(self) self.rejectButton.setAutoDefault(False) self.rejectButton.setText("Cancel") self.acceptButton= qt.QPushButton(self) self.acceptButton.setAutoDefault(False) self.acceptButton.setText("OK") self.rejectButton.clicked.connect(self.reject) self.acceptButton.clicked.connect(self.accept) self.mainLayout.addWidget(self.parametersWidget, 0, 0, 5, 4) self.mainLayout.addWidget(self.rejectButton, 6, 1) self.mainLayout.addWidget(self.acceptButton, 6, 2) def getParameters(self): return self.parametersWidget.getParameters() if __name__ == "__main__": app = qt.QApplication([]) w = StackXASBatchDialog() ret = w.exec_() if ret: print(w.getParameters()) #app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/QPyMcaMatplotlibSave.py0000644000276300001750000011532513136054446023200 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy import traceback from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaCore import PyMcaMatplotlibSave from PyMca5.PyMcaGui import IconDict from PyMca5.PyMcaGui import PyMcaPrintPreview from PyMca5 import PyMcaDirs from matplotlib import cm from matplotlib.font_manager import FontProperties from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas from matplotlib.figure import Figure from matplotlib.colors import LinearSegmentedColormap, LogNorm, Normalize from matplotlib.ticker import MaxNLocator, AutoLocator DEBUG = 0 class TopWidget(qt.QWidget): def __init__(self, parent = None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.labelList = ['Title', 'X Label', 'Y Label'] self.keyList = ['title', 'xlabel', 'ylabel'] self.lineEditList = [] for i in range(len(self.labelList)): label = qt.QLabel(self) label.setText(self.labelList[i]) lineEdit = qt.QLineEdit(self) self.mainLayout.addWidget(label, i, 0) self.mainLayout.addWidget(lineEdit, i, 1) self.lineEditList.append(lineEdit) def getParameters(self): ddict = {} i = 0 for label in self.keyList: ddict[label] = qt.safe_str(self.lineEditList[i].text()) i = i + 1 return ddict def setParameters(self, ddict): for label in ddict.keys(): if label.lower() in self.keyList: i = self.keyList.index(label) self.lineEditList[i].setText(ddict[label]) return class ButtonsWidget(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.updateButton = qt.QPushButton(self) self.updateButton.setText("Update") self.printButton = qt.QPushButton(self) self.printButton.setText("Print") self.saveButton = qt.QPushButton(self) self.saveButton.setText("Save") self.mainLayout.addWidget(self.updateButton) self.mainLayout.addWidget(self.printButton) self.mainLayout.addWidget(self.saveButton) class SaveImageSetup(qt.QWidget): def __init__(self, parent=None, image=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setColumnStretch(0, 1) self.mainLayout.setColumnStretch(1, 0) self.setWindowTitle("PyMca - Matplotlib save image") self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.lastOutputDir = None self.printPreview = PyMcaPrintPreview.PyMcaPrintPreview(modal = 0) #top self.top = TopWidget(self) self.mainLayout.addWidget(self.top, 0, 0) #image self.imageWidget = QPyMcaMatplotlibImage(self, image) self.mainLayout.addWidget(self.imageWidget, 1, 0) #right self.right = RightWidget(self) self.mainLayout.addWidget(self.right, 1, 1) #buttons self._buttonContainer = ButtonsWidget(self) self.mainLayout.addWidget(self._buttonContainer, 0, 1) self._buttonContainer.updateButton.clicked.connect(\ self.updateClicked) self._buttonContainer.printButton.clicked.connect(self.printClicked) self._buttonContainer.saveButton.clicked.connect(self.saveClicked) def sizeHint(self): return qt.QSize(3 * qt.QWidget.sizeHint(self).width(), 3 * qt.QWidget.sizeHint(self).height()) def setImageData(self, image=None): self.imageWidget.imageData = image self.updateClicked() def setPixmapImage(self, image=None, bgr=False): #this is not to loose time plotting twice self.imageWidget.setPixmapImage(None, bgr) if image is None: self.right.setPixmapMode(False) else: self.right.setPixmapMode(True) #update configuration withoutplotting because of having #set the current pixmap to None self.updateClicked() #and plot self.imageWidget.setPixmapImage(image, bgr) def getParameters(self): ddict = self.imageWidget.getParameters() ddict.update(self.top.getParameters()) ddict.update(self.right.getParameters()) return ddict def setParameters(self, ddict): self.top.setParameters(ddict) self.imageWidget.setParameters(ddict) self.right.setParameters(ddict) def updateClicked(self): try: ddict = self.getParameters() self.imageWidget.setParameters(ddict) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error updating image:") msg.setInformativeText("%s" % sys.exc_info()[1]) msg.setDetailedText(traceback.format_exc()) msg.setWindowTitle('Matplotlib Save Image') msg.exec_() def printClicked(self): try: pixmap = qt.QPixmap.grabWidget(self.imageWidget) self.printPreview.addPixmap(pixmap) if self.printPreview.isHidden(): self.printPreview.show() self.printPreview.raise_() except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error printing image: %s" % sys.exc_info()[1]) msg.setWindowTitle('Matplotlib Save Image') msg.exec_() def saveClicked(self): outfile = qt.QFileDialog(self) outfile.setModal(1) if self.lastOutputDir is None: self.lastOutputDir = PyMcaDirs.outputDir outfile.setWindowTitle("Output File Selection") if hasattr(qt, "QStringList"): strlist = qt.QStringList() else: strlist = [] format_list = [] format_list.append('Graphics PNG *.png') format_list.append('Graphics EPS *.eps') format_list.append('Graphics SVG *.svg') for f in format_list: strlist.append(f) if hasattr(outfile, "setFilters"): outfile.setFilters(strlist) else: outfile.setNameFilters(strlist) outfile.setFileMode(outfile.AnyFile) outfile.setAcceptMode(qt.QFileDialog.AcceptSave) outfile.setDirectory(self.lastOutputDir) ret = outfile.exec_() if ret: if hasattr(outfile, "selectedFilter"): filterused = qt.safe_str(outfile.selectedFilter()).split() else: filterused = qt.safe_str(outfile.selectedNameFilter()).split() filedescription = filterused[0] filetype = filterused[1] extension = filterused[2] try: outstr = qt.safe_str(outfile.selectedFiles()[0]) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error saving image: %s" % sys.exc_info()[1]) msg.setWindowTitle('Matplotlib Save Image') msg.exec_() try: outputDir = os.path.dirname(outstr) self.lastOutputDir = outputDir PyMcaDirs.outputDir = outputDir except: outputDir = "." try: outputFile = os.path.basename(outstr) except: outputFile = outstr outfile.close() del outfile else: outfile.close() del outfile return #always overwrite for the time being if len(outputFile) < len(extension[1:]): outputFile += extension[1:] elif outputFile[-4:] != extension[1:]: outputFile += extension[1:] finalFile = os.path.join(outputDir, outputFile) if os.path.exists(finalFile): try: os.remove(finalFile) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Cannot overwrite file: %s" % sys.exc_info()[1]) msg.setWindowTitle('Matplotlib Save Image') msg.exec_() return try: self.imageWidget.print_figure(finalFile, edgecolor='w', facecolor='w', format=finalFile[-3:], dpi=self.imageWidget.config['outputdpi']) except: print("WARNING: trying to save using obsolete method") config = self.imageWidget.getParameters() try: s=PyMcaMatplotlibSave.PyMcaMatplotlibSaveImage(self.imageWidget.imageData) if self.imageWidget.pixmapImage is not None: s.setPixmapImage(self.imageWidget.pixmapImage) s.setParameters(config) s.saveImage(finalFile) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error saving file: %s" % sys.exc_info()[1]) msg.setWindowTitle('Matplotlib Save Image') msg.exec_() class SimpleComboBox(qt.QComboBox): def __init__(self, parent=None, options=['1', '2', '3']): qt.QComboBox.__init__(self,parent) self.setOptions(options) self.setDuplicatesEnabled(False) self.setEditable(False) def setOptions(self,options=['1','2','3']): self.clear() for item in options: self.addItem(item) def setCurrentText(self, text): for i in range(self.count()): if qt.safe_str(self.itemText(i)) == text: self.setCurrentIndex(i) break class RightWidget(qt.QWidget): def __init__(self, parent = None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.gridWidget = qt.QWidget(self) self.gridLayout = qt.QGridLayout(self.gridWidget) self.gridLayout.setContentsMargins(0, 0, 0, 0) self.gridLayout.setSpacing(2) self.labelList = ['X Axis', 'Y Axis', 'N X Labels', 'N Y Labels', 'Origin', 'Interpolation', 'Colormap', 'Lin/Log Colormap', 'Colorbar', 'Contour', 'Contour Labels', 'Contour Label Format', 'Contour Levels', 'Contour Line Width', 'Image Background', 'X Pixel Size', 'Y Pixel Size', 'X Origin', 'Y Origin', 'Zoom X Min', 'Zoom X Max', 'Zoom Y Min', 'Zoom Y Max', 'Value Min', 'Value Max', 'Output dpi'] self.keyList = [] for label in self.labelList: self.keyList.append(label.lower().replace(' ','').replace('/',"")) self.comboBoxList = [] for i in range(len(self.labelList)): label = qt.QLabel(self) label.setText(self.labelList[i]) if self.labelList[i] in ['X Axis', 'Y Axis']: options = ['Off', 'On'] if self.labelList[i] in ['N X Labels', 'N Y Labels']: options = ['Auto', '1', '2', '3', '4', '5', '6', '7', '8', '9'] elif self.labelList[i] in ['Colormap']: options = ['Temperature','Grey', 'Yerg',\ 'Red', 'Green', 'Blue',\ 'Rainbow', 'Jet','Hot', 'Cool', 'Copper'] for candidate in ['spectral', 'Paired', 'Paired_r', 'PuBu', 'PuBu_r', 'RdBu', 'RdBu_r', 'gist_earth', 'gist_earth_r', 'Blues', 'Blues_r', 'YlGnBu', 'YlGnBu_r']: if hasattr(cm, candidate): options.append(candidate) elif self.labelList[i] in ['Lin/Log Colormap']: options = ['Linear','Logarithmic'] elif self.labelList[i] in ['Colorbar']: options = ['None', 'Vertical', 'Horizontal'] elif self.labelList[i] in ['Origin']: options = ['Lower', 'Upper'] elif self.labelList[i] in ['Interpolation']: options = ['Nearest', 'Bilinear'] elif self.labelList[i] in ['Contour']: options = ['Off', 'Line'] elif self.labelList[i] in ['Contour Labels']: options = ['On', 'Off'] elif self.labelList[i] in ['Contour Label Format']: options = ['%.3f', '%.2f', '%.1f', '%.0f', '%.1e', '%.2e', '%.3e'] elif self.labelList[i] in ['Contour Levels']: options = ["10", "9", "8", "7", "6", "5", "4", "3", "2", "1"] elif self.labelList[i] in ['Image Background']: options = ['Black', 'White', 'Grey'] if self.labelList[i] in ['Contour Levels']: line = qt.QSpinBox(self) line.setMinimum(1) line.setMaximum(1000) line.setValue(10) elif self.labelList[i] in ['Contour Line Width']: line = qt.QSpinBox(self) line.setMinimum(1) line.setMaximum(100) line.setValue(10) elif i <= self.labelList.index('Image Background'): line = SimpleComboBox(self, options) else: line = MyLineEdit(self) validator = qt.QDoubleValidator(line) line.setValidator(validator) if 'Zoom' in self.labelList[i]: tip = "This zoom is in physical units.\n" tip += "This means pixel size corrected.\n" tip += "To disable zoom, just set both\n" tip += "limits to the same value." line.setToolTip(tip) line.setText('0.0') elif 'Origin' in self.labelList[i]: tip = "First pixel coordinates in physical units.\n" tip += "This means pixel size corrected.\n" line.setToolTip(tip) line.setText('0.0') elif 'Value' in self.labelList[i]: tip = "Clipping values of the data.\n" tip += "To disable clipping, just set both\n" tip += "limits to the same value." line.setToolTip(tip) line.setText('0.0') elif 'Output dpi' in self.labelList[i]: tip = "=Output file resolution." line.setToolTip(tip) line.setText("%d" % 100) else: line.setText('1.0') self.gridLayout.addWidget(label, i, 0) self.gridLayout.addWidget(line, i, 1) self.comboBoxList.append(line) self.mainLayout.addWidget(self.gridWidget) self.mainLayout.addWidget(qt.VerticalSpacer(self)) self.setPixmapMode(False) def setPixmapMode(self, flag): if flag: disable = ['Colormap', 'Lin/Log Colormap', 'Contour', 'Contour Labels', 'Contour Label Format', 'Contour Levels', 'Colorbar', 'Value Min','Value Max'] else: disable = ['Image Background'] for label in self.labelList: index = self.labelList.index(label) if label in disable: self.comboBoxList[index].setEnabled(False) else: self.comboBoxList[index].setEnabled(True) def getParameters(self): ddict = {} i = 0 for label in self.keyList: if i == self.labelList.index('Contour Levels'): ddict[label] = self.comboBoxList[i].value() elif i == self.labelList.index('Contour Line Width'): ddict[label] = self.comboBoxList[i].value() elif i > self.labelList.index('Image Background'): text = qt.safe_str(self.comboBoxList[i].text()) if len(text): if label in ['Output dpi', "N X Labels", "N Y Labels"]: if ddict[label] in ['Auto', 'auto', '0', 0]: ddict['label'] = 0 else: ddict[label] = int(text) else: ddict[label] = float(text) else: ddict[label] = None else: ddict[label] = qt.safe_str(self.comboBoxList[i].currentText()).lower() if (ddict[label] == 'none') or (ddict[label] == 'default'): ddict[label] = None i = i + 1 return ddict def setParameters(self, ddict): for label in ddict.keys(): if label.lower() in self.keyList: i = self.keyList.index(label) if i == self.labelList.index('Contour Levels'): self.comboBoxList[i].setValue(int(ddict[label])) elif i == self.labelList.index('Contour Line Width'): self.comboBoxList[i].setValue(int(ddict[label])) elif i > self.labelList.index('Image Background'): if ddict[label] is not None: if label in ['Output dpi']: self.comboBoxList[i].setText("%d" % int(ddict[label])) elif label in ['N X Labels', 'N Y Labels']: if ddict[label] in ['Auto', 'auto', '0', 0]: self.comboBoxList[i].setText("Auto") else: self.comboBoxList[i].setText("%d" %\ int(ddict[label])) else: self.comboBoxList[i].setText("%f" % ddict[label]) else: txt = ddict[label] if ddict[label] is not None: try: txt = ddict[label][0].upper() +\ ddict[label][1:].lower() except: pass self.comboBoxList[i].setCurrentText(txt) return class MyLineEdit(qt.QLineEdit): def sizeHint(self): return qt.QSize(0.6 * qt.QLineEdit.sizeHint(self).width(), qt.QLineEdit.sizeHint(self).height()) class QPyMcaMatplotlibImage(FigureCanvas): def __init__(self, parent, imageData=None, dpi=100, size=(5, 5), xaxis='off', yaxis='off', xlabel='', ylabel='', nxlabels=0, nylabels=0, colorbar=None, title='', interpolation='nearest', colormap=None, linlogcolormap='linear', origin='lower', contour='off', contourlabels='on', contourlabelformat='%.3f', contourlevels=2, contourlinewidth=10, extent=None, xpixelsize=1.0, ypixelsize=1.0, xorigin=0.0, yorigin=0.0, xlimits=None, ylimits=None, vlimits=None): self.figure = Figure(figsize=size, dpi=dpi) #in inches #How to set this color equal to the other widgets color? #self.figure.set_facecolor('1.0') #self.figure.set_edgecolor('1.0') FigureCanvas.__init__(self, self.figure) FigureCanvas.setSizePolicy(self, qt.QSizePolicy.Expanding, qt.QSizePolicy.Expanding) self.imageData = imageData self.pixmapImage = None self.config={'xaxis':xaxis, 'yaxis':yaxis, 'title':title, 'xlabel':xlabel, 'ylabel':ylabel, 'nxlabels':nxlabels, 'nylabels':nylabels, 'colorbar':colorbar, 'colormap':colormap, 'linlogcolormap':linlogcolormap, 'interpolation':interpolation, 'origin':origin, 'contour':contour, 'contourlabels':contourlabels, 'contourlabelformat':contourlabelformat, 'contourlevels':contourlevels, 'contourlinewidth':contourlinewidth, 'extent':extent, 'imagebackground':'black', 'xorigin':xorigin, 'yorigin':yorigin, 'xpixelsize':xpixelsize, 'ypixelsize':ypixelsize, 'zoomxmin':None, 'zoomxmax':None, 'zoomymin':None, 'zoomymax':None, 'valuemin':None, 'valuemax':None, 'xlimits':xlimits, 'ylimits':ylimits, 'vlimits':vlimits, 'outputdpi':dpi} #generate own colormaps cdict = {'red': ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0)), 'green': ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0)), 'blue': ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0))} self.__redCmap = LinearSegmentedColormap('red',cdict,256) cdict = {'red': ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0)), 'green': ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0)), 'blue': ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0))} self.__greenCmap = LinearSegmentedColormap('green',cdict,256) cdict = {'red': ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0)), 'green': ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0)), 'blue': ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0))} self.__blueCmap = LinearSegmentedColormap('blue',cdict,256) # Temperature as defined in spslut cdict = {'red': ((0.0, 0.0, 0.0), (0.5, 0.0, 0.0), (0.75, 1.0, 1.0), (1.0, 1.0, 1.0)), 'green': ((0.0, 0.0, 0.0), (0.25, 1.0, 1.0), (0.75, 1.0, 1.0), (1.0, 0.0, 0.0)), 'blue': ((0.0, 1.0, 1.0), (0.25, 1.0, 1.0), (0.5, 0.0, 0.0), (1.0, 0.0, 0.0))} #but limited to 256 colors for a faster display (of the colorbar) self.__temperatureCmap = LinearSegmentedColormap('temperature', cdict, 256) #reversed gray cdict = {'red': ((0.0, 1.0, 1.0), (1.0, 0.0, 0.0)), 'green': ((0.0, 1.0, 1.0), (1.0, 0.0, 0.0)), 'blue': ((0.0, 1.0, 1.0), (1.0, 0.0, 0.0))} self.__reversedGrayCmap = LinearSegmentedColormap('yerg', cdict, 256) self.updateFigure() def updateFigure(self): self.figure.clear() if (self.imageData is None) and \ (self.pixmapImage is None): return # The axes self.axes = self.figure.add_axes([.15, .15, .75, .8]) if self.config['xaxis'] == 'off': self.axes.xaxis.set_visible(False) else: self.axes.xaxis.set_visible(True) nLabels = self.config['nxlabels'] if nLabels not in ['Auto', 'auto', '0', 0]: self.axes.xaxis.set_major_locator(MaxNLocator(nLabels)) else: self.axes.xaxis.set_major_locator(AutoLocator()) if self.config['yaxis'] == 'off': self.axes.yaxis.set_visible(False) else: self.axes.yaxis.set_visible(True) nLabels = self.config['nylabels'] if nLabels not in ['Auto', 'auto', '0', 0]: self.axes.yaxis.set_major_locator(MaxNLocator(nLabels)) else: self.axes.yaxis.set_major_locator(AutoLocator()) if self.pixmapImage is not None: self._updatePixmapFigure() return interpolation = self.config['interpolation'] origin = self.config['origin'] cmap = self.__temperatureCmap ccmap = cm.gray if self.config['colormap'] in ['grey','gray']: cmap = cm.gray ccmap = self.__temperatureCmap elif self.config['colormap'] in ['yarg','yerg']: cmap = self.__reversedGrayCmap ccmap = self.__temperatureCmap elif self.config['colormap']=='jet': cmap = cm.jet elif self.config['colormap']=='hot': cmap = cm.hot elif self.config['colormap']=='cool': cmap = cm.cool elif self.config['colormap']=='copper': cmap = cm.copper elif self.config['colormap']=='spectral': cmap = cm.spectral elif self.config['colormap']=='hsv': cmap = cm.hsv elif self.config['colormap']=='rainbow': cmap = cm.gist_rainbow elif self.config['colormap']=='red': cmap = self.__redCmap elif self.config['colormap']=='green': cmap = self.__greenCmap elif self.config['colormap']=='blue': cmap = self.__blueCmap elif self.config['colormap']=='temperature': cmap = self.__temperatureCmap elif self.config['colormap'] == 'paired': cmap = cm.Paired elif self.config['colormap'] == 'paired_r': cmap = cm.Paired_r elif self.config['colormap'] == 'pubu': cmap = cm.PuBu elif self.config['colormap'] == 'pubu_r': cmap = cm.PuBu_r elif self.config['colormap'] == 'rdbu': cmap = cm.RdBu elif self.config['colormap'] == 'rdbu_r': cmap = cm.RdBu_r elif self.config['colormap'] == 'gist_earth': cmap = cm.gist_earth elif self.config['colormap'] == 'gist_earth_r': cmap = cm.gist_earth_r elif self.config['colormap'] == 'blues': cmap = cm.Blues elif self.config['colormap'] == 'blues_r': cmap = cm.Blues_r elif self.config['colormap'] == 'ylgnbu': cmap = cm.YlGnBu elif self.config['colormap'] == 'ylgnbu_r': cmap = cm.YlGnBu_r else: print("Unsupported colormap %s" % self.config['colormap']) if self.config['extent'] is None: h, w = self.imageData.shape x0 = self.config['xorigin'] y0 = self.config['yorigin'] w = w * self.config['xpixelsize'] h = h * self.config['ypixelsize'] if origin == 'upper': extent = (x0, w+x0, h+y0, y0) else: extent = (x0, w+x0, y0, h+y0) else: extent = self.config['extent'] vlimits = self.__getValueLimits() if vlimits is None: imageData = self.imageData vmin = self.imageData.min() vmax = self.imageData.max() else: vmin = min(vlimits[0], vlimits[1]) vmax = max(vlimits[0], vlimits[1]) imageData = self.imageData.clip(vmin,vmax) if self.config['linlogcolormap'] != 'linear': if vmin <= 0: if vmax > 0: vmin = min(imageData[imageData>0]) else: vmin = 0.0 vmax = 1.0 self._image = self.axes.imshow(imageData.clip(vmin,vmax), interpolation=interpolation, origin=origin, cmap=cmap, extent=extent, norm=LogNorm(vmin, vmax)) else: self._image = self.axes.imshow(imageData, interpolation=interpolation, origin=origin, cmap=cmap, extent=extent, norm=Normalize(vmin, vmax)) ylim = self.axes.get_ylim() if self.config['colorbar'] is not None: barorientation = self.config['colorbar'] if barorientation == "vertical": xlim = self.axes.get_xlim() deltaX = abs(xlim[1] - xlim[0]) deltaY = abs(ylim[1] - ylim[0]) ratio = deltaY/ float(deltaX) shrink = ratio self._colorbar = self.figure.colorbar(self._image, fraction=0.046, pad=0.04, #shrink=shrink, aspect=20 * shrink, orientation=barorientation) if ratio < 0.51: nTicks = 5 if ratio < 0.2: nTicks = 3 try: tick_locator = MaxNLocator(nTicks) self._colorbar.locator = tick_locator self._colorbar.update_ticks() except: print("Colorbar error", sys.exc_info()) pass else: self._colorbar = self.figure.colorbar(self._image, orientation=barorientation) #contour plot if self.config['contour'] != 'off': dataMin = imageData.min() dataMax = imageData.max() ncontours = int(self.config['contourlevels']) levels = (numpy.arange(ncontours)) *\ (dataMax - dataMin)/float(ncontours) contourlinewidth = int(self.config['contourlinewidth'])/10. if self.config['contour'] == 'filled': self._contour = self.axes.contourf(imageData, levels, origin=origin, cmap=ccmap, extent=extent) else: self._contour = self.axes.contour(imageData, levels, origin=origin, cmap=ccmap, linewidths=contourlinewidth, extent=extent) if self.config['contourlabels'] != 'off': self.axes.clabel(self._contour, fontsize=9, inline=1, fmt=self.config['contourlabelformat']) if 0 and self.config['colorbar'] is not None: if barorientation == 'horizontal': barorientation = 'vertical' else: barorientation = 'horizontal' self._ccolorbar=self.figure.colorbar(self._contour, orientation=barorientation, extend='both') self.__postImage(ylim) def getParameters(self): return self.config def setParameters(self, ddict): self.config.update(ddict) self.updateFigure() def setPixmapImage(self, image=None, bgr=False): if image is None: self.pixmapImage = None self.updateFigure() return if bgr: self.pixmapImage = image * 1 self.pixmapImage[:,:,0] = image[:,:,2] self.pixmapImage[:,:,2] = image[:,:,0] else: self.pixmapImage = image shape = self.pixmapImage.shape self.pixmapMask = numpy.ones(shape, numpy.uint8) shape = self.pixmapImage.shape if 0: # This is slow, but I do not expect huge images for i in range(shape[0]): for j in range(shape[1]): if (self.pixmapImage[i,j,0] == 0): if (self.pixmapImage[i,j,1] == 0): if (self.pixmapImage[i,j,2] == 0): self.pixmapMask[i,j,0:3] = [0, 0, 0] else: #the image is RGBA, so the sum when there is nothing is 255 s = self.pixmapImage.sum(axis=-1) self.pixmapMask[s==255, 0:3] = 0 self.updateFigure() def _updatePixmapFigure(self): interpolation = self.config['interpolation'] origin = self.config['origin'] if self.config['extent'] is None: h= self.pixmapImage.shape[0] w= self.pixmapImage.shape[1] x0 = self.config['xorigin'] y0 = self.config['yorigin'] w = w * self.config['xpixelsize'] h = h * self.config['ypixelsize'] if origin == 'upper': extent = (x0, w+x0, h+y0, y0) else: extent = (x0, w+x0, y0, h+y0) else: extent = self.config['extent'] if self.config['imagebackground'].lower() == 'white': if 0: self.pixmapImage[:] = (self.pixmapImage * self.pixmapMask) +\ (self.pixmapMask == 0) * 255 else: self.pixmapImage[self.pixmapMask == 0] = 255 elif self.config['imagebackground'].lower() == 'grey': if 0: self.pixmapImage[:] = (self.pixmapImage * self.pixmapMask) +\ (self.pixmapMask == 0) * 128 else: self.pixmapImage[self.pixmapMask == 0] = 128 else: if 0: self.pixmapImage[:] = (self.pixmapImage * self.pixmapMask) else: self.pixmapImage[self.pixmapMask == 0]= 0 self._image = self.axes.imshow(self.pixmapImage, interpolation=interpolation, origin=origin, extent=extent) ylim = self.axes.get_ylim() self.__postImage(ylim) def __getValueLimits(self): if (self.config['valuemin'] is not None) and\ (self.config['valuemax'] is not None) and\ (self.config['valuemin'] != self.config['valuemax']): vlimits = (self.config['valuemin'], self.config['valuemax']) elif self.config['vlimits'] is not None: vlimits = self.config['vlimits'] else: vlimits = None return vlimits def __postImage(self, ylim): self.axes.set_title(self.config['title']) self.axes.set_xlabel(self.config['xlabel']) self.axes.set_ylabel(self.config['ylabel']) origin = self.config['origin'] if (self.config['zoomxmin'] is not None) and\ (self.config['zoomxmax'] is not None)and\ (self.config['zoomxmax'] != self.config['zoomxmin']): xlimits = (self.config['zoomxmin'], self.config['zoomxmax']) elif self.config['xlimits'] is not None: xlimits = self.config['xlimits'] else: xlimits = None if (self.config['zoomymin'] is not None) and\ (self.config['zoomymax'] is not None) and\ (self.config['zoomymax'] != self.config['zoomymin']): ylimits = (self.config['zoomymin'], self.config['zoomymax']) elif self.config['ylimits'] is not None: ylimits = self.config['ylimits'] else: ylimits = None if ylimits is None: self.axes.set_ylim(ylim[0],ylim[1]) else: ymin = min(ylimits) ymax = max(ylimits) if origin == "lower": self.axes.set_ylim(ymin, ymax) else: self.axes.set_ylim(ymax, ymin) if xlimits is not None: xmin = min(xlimits) xmax = max(xlimits) self.axes.set_xlim(xmin, xmax) self.draw() def test(): app = qt.QApplication([]) a=numpy.arange(256.) a.shape = 8, 32 w = SaveImageSetup(None, a) ddict = w.getParameters() ddict["colorbar"] = "vertical" w.setParameters(ddict) w.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/StackROIBatchWindow.py0000644000276300001750000001711313136054446022744 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import numpy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from PyMca5.PyMcaGui import PyMcaFileDialogs DEBUG = 0 class StackROIBatchWindow(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.setWindowTitle("StackROIBatchWindow") self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) # configuration file configLabel = qt.QLabel(self) configLabel.setText("ROI Configuration File:") self._configLine = qt.QLineEdit(self) self._configLine.setReadOnly(True) self._configButton = qt.QPushButton(self) self._configButton.setText("Browse") self._configButton.setAutoDefault(False) self._configButton.clicked.connect(self.browseConfigurationFile) # output directory outLabel = qt.QLabel(self) outLabel.setText("Output dir:") self._outLine = qt.QLineEdit(self) self._outLine.setReadOnly(True) self._outButton = qt.QPushButton(self) self._outButton.setText('Browse') self._outButton.setAutoDefault(False) self._outButton.clicked.connect(self.browseOutputDir) # output file name fileLabel = qt.QLabel(self) fileLabel.setText("Output file root:") self._fileLine = qt.QLineEdit(self) self._fileLine.setReadOnly(False) self._fileLine.setText("ROI_images") boxLabel = qt.QLabel(self) boxLabel.setText("Options:") self._boxContainer = qt.QWidget(self) self._boxContainerLayout = qt.QHBoxLayout(self._boxContainer) self._boxContainerLayout.setContentsMargins(0, 0, 0, 0) self._boxContainerLayout.setSpacing(0) # Net ROI self._netBox = qt.QCheckBox(self._boxContainer) self._netBox.setText("Calculate Net ROI") self._netBox.setChecked(True) self._netBox.setEnabled(False) # xAtMax self._xAtMaxBox = qt.QCheckBox(self._boxContainer) self._xAtMaxBox.setText("Image X at Min/Max. Y") self._xAtMaxBox.setChecked(False) self._xAtMaxBox.setEnabled(True) text = "Calculate the channel of the maximum and\n" text += "the minimum value in the region.\n" self._xAtMaxBox.setToolTip(text) # generate tiff files self._tiffBox = qt.QCheckBox(self._boxContainer) self._tiffBox.setText("generate TIFF files") self._tiffBox.setChecked(False) self._tiffBox.setEnabled(True) self._boxContainerLayout.addWidget(self._netBox) self._boxContainerLayout.addWidget(self._xAtMaxBox) self._boxContainerLayout.addWidget(self._tiffBox) self.mainLayout.addWidget(configLabel, 0, 0) self.mainLayout.addWidget(self._configLine, 0, 1) self.mainLayout.addWidget(self._configButton, 0, 2) self.mainLayout.addWidget(outLabel, 1, 0) self.mainLayout.addWidget(self._outLine, 1, 1) self.mainLayout.addWidget(self._outButton, 1, 2) self.mainLayout.addWidget(fileLabel, 2, 0) self.mainLayout.addWidget(self._fileLine, 2, 1) self.mainLayout.addWidget(boxLabel, 3, 0) self.mainLayout.addWidget(self._boxContainer, 3, 1, 1, 1) def sizeHint(self): return qt.QSize(int(1.8 * qt.QWidget.sizeHint(self).width()), qt.QWidget.sizeHint(self).height()) def browseConfigurationFile(self): f = PyMcaFileDialogs.getFileList(parent=self, filetypelist=["Configuration files (*.ini)"], message="Open a ROI configuration file", mode="OPEN", single=True) if len(f): self._configLine.setText(f[0]) def browseOutputDir(self): f = PyMcaFileDialogs.getExistingDirectory(parent=self, message="Please select output directory", mode="OPEN") if len(f): self._outLine.setText(f) def getParameters(self): ddict = {} ddict['configuration'] = qt.safe_str(self._configLine.text()) ddict['output_dir'] = qt.safe_str(self._outLine.text()) ddict['file_root'] = qt.safe_str(self._fileLine.text()) if self._netBox.isChecked(): ddict['net'] = 1 else: ddict['net'] = 0 if self._xAtMaxBox.isChecked(): ddict['xAtMinMax'] = 1 else: ddict['xAtMinMax'] = 0 if self._tiffBox.isChecked(): ddict['tiff'] = 1 else: ddict['tiff'] = 0 return ddict class StackROIBatchDialog(qt.QDialog): def __init__(self, parent=None): qt.QDialog.__init__(self, parent) self.setWindowTitle("Stack ROI Batch Dialog") self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(10, 10, 10, 10) self.parametersWidget = StackROIBatchWindow(self) self.rejectButton= qt.QPushButton(self) self.rejectButton.setAutoDefault(False) self.rejectButton.setText("Cancel") self.acceptButton= qt.QPushButton(self) self.acceptButton.setAutoDefault(False) self.acceptButton.setText("OK") self.rejectButton.clicked.connect(self.reject) self.acceptButton.clicked.connect(self.accept) self.mainLayout.addWidget(self.parametersWidget, 0, 0, 5, 4) self.mainLayout.addWidget(self.rejectButton, 6, 1) self.mainLayout.addWidget(self.acceptButton, 6, 2) def getParameters(self): return self.parametersWidget.getParameters() if __name__ == "__main__": app = qt.QApplication([]) w = StackROIBatchDialog() ret = w.exec_() if ret: print(w.getParameters()) #app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/QSpsDataSource.py0000644000276300001750000001261213136054446022033 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui.pymca import QSource from PyMca5.PyMcaCore import SpsDataSource qt = QSource.qt QTVERSION = qt.qVersion() SOURCE_TYPE = SpsDataSource.SOURCE_TYPE class QSpsDataSource(QSource.QSource): """Shared memory source The shared memory source object uses SPS through the SPSWrapper module to get access to shared memory zones created by Spec or Device Servers Emitted signals are : updated """ def __init__(self, sourceName): QSource.QSource.__init__(self) self.__dataSource = SpsDataSource.SpsDataSource(sourceName) #easy speed up by making a local reference self.sourceName = self.__dataSource.sourceName self.isUpdated = self.__dataSource.isUpdated self.sourceType = self.__dataSource.sourceType self.getKeyInfo = self.__dataSource.getKeyInfo self.refresh = self.__dataSource.refresh self.getSourceInfo = self.__dataSource.getSourceInfo def __getattr__(self,attr): if not attr.startswith("__"): #if not hasattr(qt.QObject, attr): if not hasattr(self, attr): try: return getattr(self.__dataSource, attr) except: pass raise AttributeError def getDataObject(self,key_list,selection=None, poll=True): if poll: data = self.__dataSource.getDataObject(key_list,selection) self.addToPoller(data) return data else: return self.__dataSource.getDataObject(key_list,selection) def customEvent(self, event): ddict = event.dict ddict['SourceName'] = self.__dataSource.sourceName ddict['SourceType'] = SOURCE_TYPE key = ddict['Key'] idtolook = [] ddict['selectionlist'] = [] if key in self.surveyDict: for object_ in self.surveyDict[key]: idtolook.append(id(object_)) if key in self.selections.keys(): n = len(self.selections[key]) if n: a = list(range(n)) a.reverse() legendlist = [] for i in a: objectId, info = self.selections[key][i] scanselection = 0 if 'scanselection' in info: scanselection = info['scanselection'] if info['legend'] in legendlist: if not scanselection: del self.selections[key][i] continue if objectId in idtolook: sel = {} sel['SourceName'] = self.__dataSource.sourceName sel['SourceType'] = SOURCE_TYPE sel['Key'] = key sel['selection'] = info['selection'] sel['legend'] = info['legend'] legendlist.append(info['legend']) sel['targetwidgetid'] = info.get('targetwidgetid', None) sel['scanselection'] = info.get('scanselection', False) sel['imageselection'] = info.get('imageselection', False) ddict['selectionlist'].append(sel) #else: del self.selections[key][i] self.sigUpdated.emit(ddict) else: print("No info????") if __name__ == "__main__": try: specname=sys.argv[1] arrayname=sys.argv[2] except: print("Usage: SpsDataSource ") sys.exit() app=qt.QApplication([]) obj = QSpsDataSource(specname) def mytest(ddict): print(ddict['Key']) app.mytest = mytest data = obj.getDataObject(arrayname,poll=True) obj.sigUpdated.connect(mytest) app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/SumRulesTool.py0000644000276300001750000023575613136054446021627 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 T. Rueter, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "Tonn Rueter - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os from os.path import isdir as osPathIsDir from os.path import basename as osPathBasename from os.path import join as osPathJoin import numpy from PyMca5.PyMcaMath.fitting.SpecfitFuns import upstep, downstep from PyMca5.PyMca import PyMcaQt as qt from PyMca5.PyMca import PlotWindow as DataDisplay from PyMca5.PyMca import Elements from PyMca5.PyMca import ConfigDict from PyMca5.PyMca import PyMcaDataDir, PyMcaDirs from PyMca5.PyMca import QSpecFileWidget from PyMca5.PyMca import SpecFileDataSource from PyMca5.PyMcaGui import IconDict if hasattr(qt, "QString"): QString = qt.QString else: QString = str QStringList = list if hasattr(qt, "QStringList"): QStringList = qt.QStringList else: QStringList = list DEBUG = 0 NEWLINE = '\n' class Calculations(object): def __init__(self): pass def cumtrapz(self, y, x=None, dx=1.0): y = y[:] if x is None: x = numpy.arange(len(y), dtype=y.dtype) * dx else: x = x[:] if not numpy.all(numpy.diff(x) > 0.): # assure monotonically increasing x idx = numpy.argsort(x) x = numpy.take(x, idx) y = numpy.take(y, idx) # Avoid dublicates x.ravel() idx = numpy.nonzero(numpy.diff(x) > 0)[0] x = numpy.take(x, idx) y = numpy.take(y, idx) return numpy.cumsum(.5 * numpy.diff(x) * (y[1:] + y[:-1])) def magneticMoment(self, p, q, r, n, econf): """ Input ----- :param p: Integral over the (first) edge of the XMCD (difference) signal :type p: Float :param q: Integral over the (second) edge of the XMCD (difference) signal :type q: Float :param r: Integral over the complete XAS signal :type r: Float :param n: Electron occupation number of the sample material :type n: Float :param econf: Determines if material is of 3d or 4f type and thus the number of electronic states in the outer shell :type econf: String Returns the orbital resp. the spin part of the magnetic moment Paper references: 3d materials: Chen et al., Phys. Rev. Lett., 75(1), 152 4f materials: Krishnamurthy et al., Phys. Rev. B, 79(1), 014426 """ mOrbt, mSpin, mRatio = None, None, None # Check if r is non-zero if r == 0.: raise ZeroDivisionError() # Determine number of states in outer shell if econf == '3d': if DEBUG >= 1: print('Calculations.magneticMoment -- considering 3d material:') print('\tp: %s, q: %s, r:%s'%(str(p),str(q),str(r))) nMax = 10. # Calculate Integrals if q is not None: #mOrbt = abs(-4./3. * q * (nMax - n) / (2.*r)) mOrbt = abs(-2./3. * q * (nMax - n) / r) if (q is not None) and (p is not None): #mSpin = abs((6.*p - 4.*q) * (nMax - n) / (2.*r)) mSpin = abs((3.*p - 2.*q) * (nMax - n) / r) mRatio = abs(2.*q/(9.*p-6.*q)) elif econf == '4f': if DEBUG >= 1: print('Calculations.magneticMoment -- considering 4f material:') print('\tp: %s, q: %s, r:%s'%(str(p),str(q),str(r))) nMax = 14. if q is not None: mOrbt = abs(q * (nMax - n) / r) if (q is not None) and (p is not None) and (r is not None): mSpin = abs((3.*q - 5.*p) * (nMax - n) / (2. * r)) mRatio = mOrbt / mSpin else: raise ValueError('Calculations.magneticMoment -- Element must either be 3d or 4f type!') return mOrbt, mSpin, mRatio class MarkerSpinBox(qt.QDoubleSpinBox): intersectionsChangedSignal = qt.pyqtSignal() def __init__(self, window, plotWindow, label='', parent=None): qt.QDoubleSpinBox.__init__(self, parent) # Attributes self.label = label self.window = window self.plotWindow = plotWindow #self.graph = graph self.markerID = self.plotWindow.insertXMarker(0., legend=label, text=label) # Initialize self.setMinimum(0.) self.setMaximum(10000.) self.setValue(0.) # Connects self.plotWindow.sigPlotSignal.connect(self._handlePlotSignal) self.valueChanged.connect(self._valueChanged) def getIntersections(self): dataList = self.plotWindow.getAllCurves() resDict = {} pos = self.value() if not isinstance(pos, float): return for x, y, legend, info in dataList: res = float('NaN') if numpy.all(pos < x) or numpy.all(x < pos): continue #raise ValueError('Marker outside of data range') if pos in x: idx = numpy.where(x == pos) res = y[idx] else: # Intepolation needed, assume well # behaved data (c.f. copy routine) lesserIdx = numpy.nonzero(x < pos)[0][-1] greaterIdx = numpy.nonzero(x > pos)[0][0] dy = y[lesserIdx] - y[greaterIdx] dx = x[lesserIdx] - x[greaterIdx] res = dy/dx * (pos - x[lesserIdx]) + y[lesserIdx] resDict[legend] = (pos, res) return resDict def hideMarker(self): self.plotWindow.removeMarker(self.label) self.markerID = None def showMarker(self): self.plotWindow.removeMarker(self.label) self.markerID = self.plotWindow.insertXMarker( self.value(), legend=self.label, text=self.label, color='blue', selectable=False, draggable=True) def _setMarkerFollowMouse(self, windowTitle): windowTitle = str(windowTitle) if self.window == windowTitle: # Blue, Marker is active color = 'blue' draggable = True else: # Black, marker is inactive color = 'k' draggable = False # Make shure that the marker is deleted # If marker is not present, removeMarker just passes.. self.markerID = self.plotWindow.insertXMarker( self.value(), legend=self.label, text=self.label, color=color, selectable=False, draggable=draggable) def _handlePlotSignal(self, ddict): if ddict['event'] != 'markerMoving': return if ddict['label'] != self.label: return markerPos = ddict['x'] self.blockSignals(True) self.setValue(markerPos) self.blockSignals(False) self.intersectionsChangedSignal.emit() def _valueChanged(self, val): try: val = float(val) except ValueError: if DEBUG == 1: print('_valueChanged -- Sorry, it ain\'t gonna float: %s'%str(val)) return # Marker of same label as self.label gets replaced.. self.markerID = self.plotWindow.insertXMarker( val, legend=self.label, text=self.label, color='blue', selectable=False, draggable=True) self.intersectionsChangedSignal.emit() class LineEditDisplay(qt.QLineEdit): def __init__(self, controller, ddict=None, unit='', parent=None): qt.QLineEdit.__init__(self, parent) self.setReadOnly(True) self.setAlignment(qt.Qt.AlignRight) if ddict is None: self.ddict = {} else: self.ddict = ddict self.unit = unit self.setMaximumWidth(120) self.controller = controller if isinstance(self.controller, qt.QComboBox): self.controller.currentIndexChanged['QString'].connect(self.setText) elif isinstance(self.controller, qt.QDoubleSpinBox): # Update must be triggered otherwise #self.controller.valueChanged['QString'].connect(self.setText) pass else: raise ValueError('LineEditDisplay: Controller must be of type QComboBox or QDoubleSpinBox') #self.controller.destroyed.connect(self.destroy) def updateDict(self, ddict): # Only relevant if type(controller) == QComboBox self.ddict = ddict def updateUnit(self, unit): self.unit = unit def checkController(self): if isinstance(self.controller, qt.QComboBox): tmp = self.controller.currentText() elif isinstance(self.controller, qt.QDoubleSpinBox): tmp = self.controller.value() else: if DEBUG == 1: print('LineEditDisplay.checkController -- Reached untreated case, setting empty string') tmp = '' self.setText(tmp) def setText(self, inp): inp = str(inp) if isinstance(self.controller, qt.QComboBox): if inp == '': text = '' else: tmp = self.ddict.get(inp,None) if tmp is not None: try: text = '%.2f meV'%(1000. * float(tmp)) except ValueError: text = 'NaN' else: text = '---' elif isinstance(self.controller, qt.QDoubleSpinBox): text = inp + ' ' + self.unit else: if DEBUG == 1: print('LineEditDisplay.setText -- Reached untreated case, setting empty string') text = '' qt.QLineEdit.setText(self, text) class SumRulesWindow(qt.QMainWindow): # Curve labeling __xasBGmodel = 'xas BG model' # Tab names __tabElem = 'element' __tabBG = 'background' __tabInt = 'integration' # Marker names __preMin = 'Pre Min' __preMax = 'Pre Max' __postMin = 'Post Min' __postMax = 'Post Max' __intP = 'p' __intQ = 'q' __intR = 'r' # Lists tabList = [__tabElem, __tabBG, __tabInt] xasMarkerList = [__preMin, __preMax, __postMin, __postMax] xmcdMarkerList = [__intP, __intQ, __intR] edgeMarkerList = [] # Elements with 3d final state transitionMetals = ['Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu'] # Elements with 4f final state rareEarths = ['La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb'] elementsDict = { '' : [], '3d': transitionMetals, '4f': rareEarths } # Electron final states electronConfs = ['3d','4f'] # Occuring Transitions occuringTransitions = ['L3M4', 'L3M5', 'L2M4', 'M5O3','M4O3'] # Signals tabChangedSignal = qt.pyqtSignal('QString') def __init__(self, parent=None): qt.QMainWindow.__init__(self, parent) self.setWindowTitle('Sum Rules Tool') if hasattr(DataDisplay,'PlotWindow'): self.plotWindow = DataDisplay.PlotWindow( parent=self, backend=None, plugins=False, # Hide plugin tool button newplot=False, # Hide mirror active curve, ... functionality roi=False, # No ROI widget control=False, # Hide option button position=True, # Show x,y position display kw={'logx': False, # Hide logarithmic x-scale tool button 'logy': False, # Hide logarithmic y-scale tool button 'flip': False, # Hide whatever this does 'fit': False}) # Hide simple fit tool button self.plotWindow._buildLegendWidget() else: self.plotWindow = DataDisplay.ScanWindow(self) # Hide Buttons in the toolbar if hasattr(self.plotWindow,'scanWindowInfoWidget'): # Get rid of scanInfoWidget self.plotWindow.scanWindowInfoWidget.hide() self.plotWindow.graph.enablemarkermode() # Hide unnecessary buttons in the toolbar toolbarChildren = self.plotWindow.toolBar # QWidget.findChildren() matches # all child widgets with the specified type toolbarButtons = toolbarChildren.findChildren(qt.QToolButton) toolbarButtons[3].hide() # LogX toolbarButtons[4].hide() # LogY toolbarButtons[6].hide() # Simple Fit toolbarButtons[7].hide() # Average Plotted Curves toolbarButtons[8].hide() # Derivative toolbarButtons[9].hide() # Smooth toolbarButtons[11].hide() # Set active to zero toolbarButtons[12].hide() # Subtract active curve toolbarButtons[13].hide() # Save active curve toolbarButtons[14].hide() # Plugins else: self.plotWindow self.__savedConf = False self.__savedData = False # Marker Handling # spinboxDict connects marker movement to spinbox # keys() -> id(MarkerSpinBox) # values() -> MarkerSpinBox self.spinboxDict = {} self.valuesDict = dict( [(item, {}) for item in self.tabList]) # Tab Widget tabIdx = 0 self.tabWidget = qt.QTabWidget() for window in self.tabList: if window == self.__tabElem: # BEGIN sampleGB sampleGB = qt.QGroupBox('Sample definition') sampleLayout = qt.QVBoxLayout() sampleGB.setLayout(sampleLayout) # electron shell combo box self.elementEConfCB = qt.QComboBox() self.elementEConfCB.setMinimumWidth(100) self.elementEConfCB.addItems(['']+self.electronConfs) self.elementEConfCB.currentIndexChanged['QString'].connect(self.setElectronConf) elementEConfLayout = qt.QHBoxLayout() elementEConfLayout.setContentsMargins(0,0,0,0) elementEConfLayout.addWidget(qt.QLabel('Electron configuration')) elementEConfLayout.addWidget(qt.HorizontalSpacer()) elementEConfLayout.addWidget(self.elementEConfCB) elementEConfWidget = qt.QWidget() elementEConfWidget.setLayout(elementEConfLayout) sampleLayout.addWidget(elementEConfWidget) # Element selection combo box self.elementCB = qt.QComboBox() self.elementCB.setMinimumWidth(100) self.elementCB.addItems(['']) self.elementCB.currentIndexChanged['QString'].connect(self.getElementInfo) elementLayout = qt.QHBoxLayout() elementLayout.setContentsMargins(0,0,0,0) elementLayout.addWidget(qt.QLabel('Element')) elementLayout.addWidget(qt.HorizontalSpacer()) elementLayout.addWidget(self.elementCB) elementWidget = qt.QWidget() elementWidget.setLayout(elementLayout) sampleLayout.addWidget(elementWidget) # electron occupation number self.electronOccupation = qt.QLineEdit('e.g. 3.14') self.electronOccupation.setMaximumWidth(120) electronOccupationValidator = qt.QDoubleValidator(self.electronOccupation) electronOccupationValidator.setBottom(0.) electronOccupationValidator.setTop(14.) self.electronOccupation.setValidator(electronOccupationValidator) electronOccupationLayout = qt.QHBoxLayout() electronOccupationLayout.setContentsMargins(0,0,0,0) electronOccupationLayout.addWidget(qt.QLabel('Electron Occupation Number')) electronOccupationLayout.addWidget(qt.HorizontalSpacer()) electronOccupationLayout.addWidget(self.electronOccupation) electronOccupationWidget = qt.QWidget() electronOccupationWidget.setLayout(electronOccupationLayout) sampleLayout.addWidget(electronOccupationWidget) # END sampleGB # BEGIN absorptionGB: X-ray absorption edge # selection combo box by transition (L3M1, etc.) absorptionGB = qt.QGroupBox('X-ray absorption edges') absorptionLayout = qt.QVBoxLayout() absorptionGB.setLayout(absorptionLayout) self.edge1CB = qt.QComboBox() self.edge1CB.setMinimumWidth(100) self.edge1CB.addItems(['']) self.edge1Line = LineEditDisplay(self.edge1CB) edge1Layout = qt.QHBoxLayout() edge1Layout.setContentsMargins(0,0,0,0) edge1Layout.addWidget(qt.QLabel('Edge 1')) edge1Layout.addWidget(qt.HorizontalSpacer()) edge1Layout.addWidget(self.edge1CB) edge1Layout.addWidget(self.edge1Line) edge1Widget = qt.QWidget() edge1Widget.setLayout(edge1Layout) absorptionLayout.addWidget(edge1Widget) self.edge2CB = qt.QComboBox() self.edge2CB.setMinimumWidth(100) self.edge2CB.addItems(['']) self.edge2Line = LineEditDisplay(self.edge2CB) edge2Layout = qt.QHBoxLayout() edge2Layout.setContentsMargins(0,0,0,0) edge2Layout.addWidget(qt.QLabel('Edge 2')) edge2Layout.addWidget(qt.HorizontalSpacer()) edge2Layout.addWidget(self.edge2CB) edge2Layout.addWidget(self.edge2Line) edge2Widget = qt.QWidget() edge2Widget.setLayout(edge2Layout) absorptionLayout.addWidget(edge2Widget) absorptionLayout.setAlignment(qt.Qt.AlignTop) # END absorptionGB # Combine sampleGB & absorptionGB in one Line topLineLayout = qt.QHBoxLayout() topLineLayout.setContentsMargins(0,0,0,0) topLineLayout.addWidget(sampleGB) topLineLayout.addWidget(absorptionGB) topLine = qt.QWidget() topLine.setLayout(topLineLayout) # BEGIN tab layouting elementTabLayout = qt.QVBoxLayout() elementTabLayout.setContentsMargins(1,1,1,1) elementTabLayout.addWidget(topLine) elementTabLayout.addWidget(qt.VerticalSpacer()) elementTabWidget = qt.QWidget() elementTabWidget.setLayout(elementTabLayout) self.tabWidget.addTab( elementTabWidget, window.upper()) self.tabWidget.setTabToolTip(tabIdx, 'Shortcut: F2\n' +'Define sample element here') # END tab layouting self.valuesDict[self.__tabElem]\ ['element'] = self.elementCB self.valuesDict[self.__tabElem]\ ['electron configuration'] = self.elementEConfCB self.valuesDict[self.__tabElem]\ ['electron occupation'] = self.electronOccupation self.valuesDict[self.__tabElem]\ ['edge1Transition'] = self.edge1CB self.valuesDict[self.__tabElem]\ ['edge2Transition'] = self.edge2CB self.valuesDict[self.__tabElem]\ ['edge1Energy'] = self.edge1Line self.valuesDict[self.__tabElem]\ ['edge2Energy'] = self.edge2Line self.valuesDict[self.__tabElem]['info'] = {} elif window == self.__tabBG: # BEGIN Pre/Post edge group box prePostLayout = qt.QGridLayout() prePostLayout.setContentsMargins(1,1,1,1) for idx, markerLabel in enumerate(self.xasMarkerList): # Estimate intial xpos by estimateInt markerWidget, spinbox = self.addMarker(window=window, label=markerLabel, xpos=0., unit='[eV]') self.valuesDict[self.__tabBG][markerLabel] = spinbox if idx == 0: posx, posy = 0,0 markerWidget.setContentsMargins(0,0,0,-8) elif idx == 1: posx, posy = 1,0 markerWidget.setContentsMargins(0,-8,0,0) elif idx == 2: posx, posy = 0,1 markerWidget.setContentsMargins(0,0,0,-8) elif idx == 3: posx, posy = 1,1 markerWidget.setContentsMargins(0,-8,0,0) else: raise IndexError('Index out of bounds: %d -> %s'\ %(idx, markerLabel)) prePostLayout.addWidget(markerWidget, posx, posy) prePostGB = qt.QGroupBox('Pre/Post edge') prePostGB.setLayout(prePostLayout) # END Pre/Post edge group box # BEGIN Edge group box numberOfEdges = 2 edgeLayout = qt.QVBoxLayout() edgeLayout.setContentsMargins(1,1,1,1) for idx in range(numberOfEdges): markerLabel = 'Edge %d'%(idx+1) self.edgeMarkerList += [markerLabel] markerWidget, spinbox = self.addMarker(window=window, label=markerLabel, xpos=0., unit='[eV]') self.valuesDict[self.__tabBG][markerLabel] = spinbox if idx == 0: markerWidget.setContentsMargins(0,0,0,-8) elif idx == (numberOfEdges-1): markerWidget.setContentsMargins(0,-8,0,0) else: markerWidget.setContentsMargins(0,-8,0,-8) edgeLayout.addWidget(markerWidget) markerWidget.setEnabled(False) edgeGB = qt.QGroupBox('Edge positions') edgeGB.setLayout(edgeLayout) # END Edge group box # BEGIN Background model group box stepRatio = qt.QDoubleSpinBox() stepRatio.setMaximumWidth(100) stepRatio.setAlignment(qt.Qt.AlignRight) stepRatio.setMinimum(0.) stepRatio.setMaximum(1.) stepRatio.setSingleStep(.025) stepRatio.setValue(.5) stepRatioLayout = qt.QHBoxLayout() stepRatioLayout.addWidget(qt.QLabel('Step ratio')) stepRatioLayout.addWidget(qt.HorizontalSpacer()) stepRatioLayout.addWidget(stepRatio) stepRatioWidget = qt.QWidget() stepRatioWidget.setContentsMargins(0,0,0,-8) stepRatioWidget.setLayout(stepRatioLayout) stepWidth = qt.QDoubleSpinBox() stepWidth.setMaximumWidth(100) stepWidth.setAlignment(qt.Qt.AlignRight) stepWidth.setMinimum(0.) stepWidth.setMaximum(1000.) stepWidth.setSingleStep(0.05) stepWidth.setValue(.0) # Start with step function stepWidthLayout = qt.QHBoxLayout() stepWidthLayout.addWidget(qt.QLabel('Step width [eV]')) stepWidthLayout.addWidget(qt.HorizontalSpacer()) stepWidthLayout.addWidget(stepWidth) stepWidthWidget = qt.QWidget() stepWidthWidget.setContentsMargins(0,-8,0,0) stepWidthWidget.setLayout(stepWidthLayout) fitControlLayout = qt.QVBoxLayout() fitControlLayout.addWidget(stepRatioWidget) fitControlLayout.addWidget(stepWidthWidget) fitControlGB = qt.QGroupBox('Background model control') fitControlGB.setLayout(fitControlLayout) # END Background model group box # Combine edge position and background model in single line sndLine = qt.QWidget() sndLineLayout = qt.QHBoxLayout() sndLineLayout.setContentsMargins(1,1,1,1) sndLine.setLayout(sndLineLayout) sndLineLayout.addWidget(edgeGB) sndLineLayout.addWidget(fitControlGB) # Insert into tab backgroundTabLayout = qt.QVBoxLayout() backgroundTabLayout.setContentsMargins(1,1,1,1) backgroundTabLayout.addWidget(prePostGB) backgroundTabLayout.addWidget(sndLine) backgroundTabLayout.addWidget(qt.VerticalSpacer()) backgroundWidget = qt.QWidget() backgroundWidget.setLayout(backgroundTabLayout) self.tabWidget.addTab( backgroundWidget, window.upper()) self.tabWidget.setTabToolTip(tabIdx, 'Shortcut: F3\n' +'Model background here.') stepRatio.valueChanged['double'].connect(self.estimateBG) stepWidth.valueChanged['double'].connect(self.estimateBG) self.valuesDict[self.__tabBG]\ ['Step Ratio'] = stepRatio self.valuesDict[self.__tabBG]\ ['Step Width'] = stepWidth elif window == self.__tabInt: # BEGIN Integral marker groupbox pqLayout = qt.QVBoxLayout() pqLayout.setContentsMargins(0,-8,0,-8) for markerLabel in self.xmcdMarkerList: markerWidget, spinbox = self.addMarker(window=window, label=markerLabel, xpos=0., unit='[eV]') self.valuesDict[self.__tabInt][markerLabel] = spinbox if markerLabel == self.xmcdMarkerList[0]: markerWidget.setContentsMargins(0,0,0,-8) elif markerLabel == self.xmcdMarkerList[-1]: # Last widget gets more content margin # at the bottom markerWidget.setContentsMargins(0,-8,0,0) else: markerWidget.setContentsMargins(0,-8,0,-8) integralVal = qt.QLineEdit() integralVal.setReadOnly(True) integralVal.setMaximumWidth(120) valLabel = qt.QLabel('Integral Value:') mwLayout = markerWidget.layout() mwLayout.addWidget(valLabel) mwLayout.addWidget(integralVal) pqLayout.addWidget(markerWidget) #spinbox.valueChanged.connect(self.calcMagneticMoments) spinbox.intersectionsChangedSignal.connect(self.calcMagneticMoments) key = 'Integral ' + markerLabel self.valuesDict[self.__tabInt][key] = integralVal pqGB = qt.QGroupBox('XAS/XMCD integrals') pqGB.setLayout(pqLayout) # END Integral marker groupbox # BEGIN magnetic moments groupbox mmLayout = qt.QVBoxLayout() mmLayout.setContentsMargins(0,-8,0,-8) text = 'Spin Magnetic Moment' mmLineLayout = qt.QHBoxLayout() self.mmSpin = qt.QLineEdit() self.mmSpin.setReadOnly(True) self.mmSpin.setMaximumWidth(120) mmLineLayout.addWidget(qt.QLabel(text)) mmLineLayout.addWidget(qt.HorizontalSpacer()) mmLineLayout.addWidget(qt.QLabel('mS = ')) mmLineLayout.addWidget(self.mmSpin) mmLineWidget = qt.QWidget() mmLineWidget.setLayout(mmLineLayout) mmLineWidget.setContentsMargins(0,0,0,-8) mmLayout.addWidget(mmLineWidget) text = 'Orbital Magnetic Moment' mmLineLayout = qt.QHBoxLayout() self.mmOrbt = qt.QLineEdit() self.mmOrbt.setReadOnly(True) self.mmOrbt.setMaximumWidth(120) mmLineLayout.addWidget(qt.QLabel(text)) mmLineLayout.addWidget(qt.HorizontalSpacer()) mmLineLayout.addWidget(qt.QLabel('mO = ')) mmLineLayout.addWidget(self.mmOrbt) mmLineWidget = qt.QWidget() mmLineWidget.setLayout(mmLineLayout) mmLineWidget.setContentsMargins(0,-8,0,-8) mmLayout.addWidget(mmLineWidget) text = 'Ratio Magnetic Moments' mmLineLayout = qt.QHBoxLayout() self.mmRatio = qt.QLineEdit() self.mmRatio.setReadOnly(True) self.mmRatio.setMaximumWidth(120) mmLineLayout.addWidget(qt.QLabel(text)) mmLineLayout.addWidget(qt.HorizontalSpacer()) mmLineLayout.addWidget(qt.QLabel('mO/mS = ')) mmLineLayout.addWidget(self.mmRatio) mmLineWidget = qt.QWidget() mmLineWidget.setLayout(mmLineLayout) mmLineWidget.setContentsMargins(0,-8,0,0) mmLayout.addWidget(mmLineWidget) mmGB = qt.QGroupBox('Magnetic moments') mmGB.setLayout(mmLayout) # END magnetic moments groupbox # Combine Integral marker groupbox and # magnetic moments groupbox in single line topLineLayout = qt.QHBoxLayout() topLineLayout.setContentsMargins(0,0,0,0) topLineLayout.addWidget(pqGB) topLineLayout.addWidget(mmGB) topLine = qt.QWidget() topLine.setLayout(topLineLayout) # BEGIN XMCD correction self.xmcdDetrend = qt.QCheckBox() self.xmcdDetrend.stateChanged['int'].connect(self.triggerDetrend) xmcdDetrendLayout = qt.QHBoxLayout() #xmcdDetrendLayout.setContentsMargins(0,0,0,1) xmcdDetrendLayout.addWidget(qt.QLabel( 'Detrend XMCD Signal (Subtracts linear fit of pre-edge Region from the signal)')) xmcdDetrendLayout.addWidget(qt.HorizontalSpacer()) xmcdDetrendLayout.addWidget(self.xmcdDetrend) xmcdDetrendWidget = qt.QWidget() xmcdDetrendWidget.setLayout(xmcdDetrendLayout) xmcdDetrendGB = qt.QGroupBox('XMCD Data Preprocessing') xmcdDetrendGB.setLayout(xmcdDetrendLayout) xmcdDetrendLayout.addWidget(xmcdDetrendWidget) # END XMCD correction xmcdTabLayout = qt.QVBoxLayout() xmcdTabLayout.setContentsMargins(2,2,2,2) xmcdTabLayout.addWidget(topLine) xmcdTabLayout.addWidget(xmcdDetrendGB) xmcdTabLayout.addWidget(qt.VerticalSpacer()) xmcdWidget = qt.QWidget() xmcdWidget.setLayout(xmcdTabLayout) self.tabWidget.addTab( xmcdWidget, window.upper()) self.tabWidget.setTabToolTip(tabIdx, 'Shortcut: F4\n' +'Assign Markers p, q and r here') self.valuesDict[self.__tabInt]\ ['Orbital Magnetic Moment'] = self.mmOrbt self.valuesDict[self.__tabInt]\ ['Spin Magnetic Moment'] = self.mmSpin self.valuesDict[self.__tabInt]\ ['Ratio Magnetic Moments'] = self.mmRatio self.valuesDict[self.__tabInt]\ ['XMCD Detrend'] = self.xmcdDetrend tabIdx += 1 # END TabWidget # Add to self.valuesDict self.tabWidget.currentChanged['int'].connect( self._handleTabChangedSignal) # Estimate button in bottom of plot window layout self.buttonEstimate = qt.QPushButton('Estimate', self) self.buttonEstimate.setToolTip( 'Shortcut: CRTL+E\n' +'Depending on the tab, estimate either the pre/post\n' +'edge regions and edge positions or the positions of\n' +'the p, q and r markers.') self.buttonEstimate.setShortcut(qt.Qt.CTRL+qt.Qt.Key_E) self.buttonEstimate.clicked.connect(self.estimate) self.buttonEstimate.setEnabled(False) self.plotWindow.toolBar.addSeparator() self.plotWindow.toolBar.addWidget(self.buttonEstimate) self.plotWindow.sigPlotSignal.connect(self._handlePlotSignal) # Layout mainWidget = qt.QWidget() mainLayout = qt.QVBoxLayout() mainLayout.addWidget(self.plotWindow) mainLayout.addWidget(self.tabWidget) mainLayout.setContentsMargins(1,1,1,1) mainWidget.setLayout(mainLayout) self.setCentralWidget(mainWidget) # # Data handling: # # Each is Tuple (x,y) # type(x),type(y) == ndarray self.xmcdData = None # XMCD Spectrum self.xasData = None # XAS Spectrum self.xasDataCorr = None # XAS minus Background model self.xasDataBG = None # XAS Backgrouns self.xmcdCorrData = None # Integrated spectra: Notice that the shape # diminished by one.. self.xmcdInt = None self.xasInt = None # # File (name) handling # self.dataInputFilename = None self.confFilename = None self.baseFilename = None self._createMenuBar() def _createMenuBar(self): # Creates empty menu bar, if none existed before menu = self.menuBar() menu.clear() # # 'File' Menu # ffile = menu.addMenu('&File') openAction = qt.QAction('&Open Spec File', self) openAction.setShortcut(qt.Qt.CTRL+qt.Qt.Key_O) openAction.setStatusTip('Opened file') openAction.setToolTip('Opens a data file (*.spec)') openAction.triggered.connect(self.loadData) loadAction = qt.QAction('&Load Configuration', self) loadAction.setShortcut(qt.Qt.CTRL+qt.Qt.Key_L) loadAction.setStatusTip('Loaded analysis file') loadAction.setToolTip('Loads an existing analysis file (*.sra)') loadAction.triggered.connect(self.loadConfiguration) saveConfAction = qt.QAction('&Save Configuration', self) saveConfAction.setShortcut(qt.Qt.CTRL+qt.Qt.Key_S) saveConfAction.setStatusTip('Saved analysis file') saveConfAction.setToolTip('Save analysis in file (*.sra)') saveConfAction.triggered.connect(self.saveConfiguration) saveConfAsAction = qt.QAction('Save &Configuration as', self) saveConfAsAction.setShortcut(qt.Qt.SHIFT+qt.Qt.CTRL+qt.Qt.Key_S) saveConfAsAction.setStatusTip('Saved analysis file') saveConfAsAction.setToolTip('Save analysis in file (*.sra)') saveConfAsAction.triggered.connect(self.saveConfigurationAs) saveDataAction = qt.QAction('Save &Data', self) saveDataAction.setShortcut(qt.Qt.CTRL+qt.Qt.Key_D) saveDataAction.setStatusTip('Saved analysis file') saveDataAction.setToolTip('Save analysis in file (*.sra)') saveDataAction.triggered.connect(self.saveData) saveDataAsAction = qt.QAction('Save D&ata as', self) saveDataAsAction.setShortcut(qt.Qt.SHIFT+qt.Qt.CTRL+qt.Qt.Key_D) saveDataAsAction.setStatusTip('Saved analysis file') saveDataAsAction.setToolTip('Save analysis in file (*.sra)') saveDataAsAction.triggered.connect(self.saveDataAs) # Populate the 'File' menu for action in [openAction, loadAction, 'sep', saveConfAction, saveConfAsAction, 'sep', saveDataAction, saveDataAsAction, 'sep']: if isinstance(action, qt.QAction): ffile.addAction(action) else: ffile.addSeparator() ffile.addAction('E&xit', self.close) # # 'Help' Menu # hhelp = menu.addMenu('&Help') showHelpFileAction = qt.QAction('Show &documentation', self) showHelpFileAction.setShortcut(qt.Qt.Key_F1) showHelpFileAction.setStatusTip('') showHelpFileAction.setToolTip('Opens the documentation (html-file) in the systems native web browser') showHelpFileAction.triggered.connect(self.showInfoWindow) # Populate the 'Help' menu hhelp.addAction(showHelpFileAction) def showInfoWindow(self): """ Opens a web browser and displays the help file """ fileName = osPathJoin(PyMcaDataDir.PYMCA_DOC_DIR, "HTML", "SumRulesToolInfotext.html") helpFileName = qt.QDir(fileName) if not qt.QDesktopServices.openUrl(qt.QUrl(helpFileName.absolutePath())): os.system('"%s"' % fileName) def triggerDetrend(self, state): if (state == qt.Qt.Unchecked) or\ (state == qt.Qt.PartiallyChecked): # Replot original data self.xmcdCorrData = None else: ddict = self.getValuesDict() if self.xmcdData is None: return x, y = self.xmcdData preMin = ddict[self.__tabBG][self.__preMin] preMax = ddict[self.__tabBG][self.__preMax] mask = numpy.nonzero((preMin <= x) & (x <= preMax))[0] xFit = x.take(mask) yFit = y.take(mask) if (len(xFit) == 0) or (len(yFit) == 0): return # Fit linear model y = a*x + b a, b = numpy.polyfit(xFit, yFit, 1) trend = a*x + b self.xmcdCorrData = (x, y-trend) if self.getCurrentTab() == self.__tabInt: self.plotOnDemand(self.__tabInt) self.calcMagneticMoments() def calcMagneticMoments(self): ddict = self.valuesDict pqr = [] mathObj = Calculations() for marker in self.xmcdMarkerList: if marker in [self.__intP, self.__intQ]: if self.xmcdCorrData is not None: curve = 'xmcd corr Int' else: curve = 'xmcd Int' else: curve = 'xas Int' spinbox = ddict[self.__tabInt][marker] integralVals = spinbox.getIntersections() x, y = integralVals.get(curve, (float('NaN'),float('NaN'))) key = 'Integral ' + marker lineEdit = ddict[self.__tabInt][key] lineEdit.setText(str(y)) pqr += [y] p, q, r = pqr electronOccupation = ddict[self.__tabElem]['electron occupation'] try: n = float(electronOccupation.text()) except ValueError: if DEBUG == 1: print('calcMM -- Could not convert electron occupation') return electronConfiguration = ddict[self.__tabElem]['electron configuration'] econf = str(electronConfiguration.currentText()) try: mmO, mmS, mmR = mathObj.magneticMoment(p,q,r,n,econf) except ValueError as e: if DEBUG == 1: print(e) mmO, mmS, mmR = 3*['---'] self.mmOrbt.setText(str(mmO)) self.mmSpin.setText(str(mmS)) self.mmRatio.setText(str(mmR)) def loadData(self): dial = LoadDichorismDataDialog() dial.setDirectory(PyMcaDirs.outputDir) if dial.exec_(): dataDict = dial.dataDict else: return # Reset calculated data self.xasDataCorr = None self.xasDataBG = None self.xmcdCorrData = None self.xmcdInt = None self.xasInt = None x = dataDict['x'] xas = dataDict['xas'] xmcd = dataDict['xmcd'] self.dataInputFilename = dataDict['fn'] self.setRawData(x, xas, 'xas') self.setRawData(x, xmcd, 'xmcd') def saveDataAs(self): self.baseFilename = None self.__savedData = False self.saveData() def saveData(self): # Saves spectral data that is calculated during # the evaluation process: # First scan: XAS BG-Modell XAS-BG # Second scan: XAS/XMCD integrals dataList = [self.xasData, self.xasDataCorr, self.xasDataBG, self.xmcdInt, self.xasInt] if None in dataList: msg = qt.QMessageBox() msg.setWindowTitle('Sum Rules Analysis Error') msg.setIcon(qt.QMessageBox.Warning) msg.setText('Analysis incomplete!\nCannot save generated data') msg.exec_() return False if self.__savedData and self.baseFilename: pass else: ddict = self.getValuesDict() saveDir = PyMcaDirs.outputDir filters = 'spec File (*.spec);;All files (*.*)' baseFilename = qt.QFileDialog.getSaveFileName(self, 'Save Sum Rule Analysis Data', saveDir, filters) if len(baseFilename) == 0: # Leave self.baseFilename as it is.. #self.baseFilename = None return False else: self.baseFilename = str(baseFilename) if not self.baseFilename.endswith('.spec'): # Append extension later self.baseFilename += '.spec' # Create filenames specFilename = self.baseFilename baseName = osPathBasename(self.dataInputFilename) self.__savedData = False # Acquire filehandle try: specFilehandle = open(specFilename, 'wb') except IOError: msg = qt.QMessageBox() msg.setWindowTitle('Sum Rules Analysis Error') msg.setIcon(qt.QMessageBox.Warning) msg.setText('Unable to open file \'%s\''%specFilename) msg.exec_() return False delim = ' ' # 1. Background Modell, XAS, XAS-Background # All share the same x-range xSpec, yXas = self.xasData xSpec, yBG = self.xasDataBG xSpec, yXasBG = self.xasDataCorr if self.xmcdCorrData: xInt, yXmcd = self.xmcdCorrData else: xInt, yXmcd = self.xmcdData dataSpec = numpy.vstack((xSpec, yXas, yBG, yXasBG, yXmcd)).T # 2. Integrals # Also share the same x-range xInt, yXasInt = self.xasInt xInt, yXmcdInt = self.xmcdInt dataInt = numpy.vstack((xInt, yXasInt, yXmcdInt)).T # Construct spectra output outSpec = '' outSpec += (NEWLINE + '#S 1 XAS data %s'%baseName + NEWLINE) outSpec += ('#N %d'%5 + NEWLINE) if self.xmcdCorrData: outSpec += ('#L x XAS Background model XAS corrected XMCD corrected' + NEWLINE) else: outSpec += ('#L x XAS Background model XAS corrected XMCD' + NEWLINE) for line in dataSpec: tmp = delim.join(['%f'%num for num in line]) outSpec += (tmp + NEWLINE) outSpec += (NEWLINE) # Construct integral output outInt = '' outInt += ('#S 2 Integral data %s'%baseName + NEWLINE) outInt += ('#N %d'%3 + NEWLINE) if self.xmcdCorrData: outInt += ('#L x XAS Int XMCD Int' + NEWLINE) else: outInt += ('#L x XAS Int XMCD Int corrected' + NEWLINE) for line in dataInt: tmp = delim.join(['%f'%num for num in line]) outInt += (tmp + NEWLINE) outInt += (NEWLINE) for output in [outSpec, outInt]: specFilehandle.write(output.encode('ascii')) specFilehandle.close() self.__savedData = True return True def saveConfigurationAs(self, shortcut=False): self.confFilename = None self.__savedConf = False self.saveConfiguration() def saveConfiguration(self): ddict = self.getValuesDict() if self.__savedConf and self.confFilename: filename = self.confFilename else: saveDir = PyMcaDirs.outputDir filters = 'Sum Rules Analysis files (*.sra);;All files (*.*)' filename = qt.QFileDialog.getSaveFileName(self, 'Save Sum Rule Analysis Configuration', saveDir, filters) if len(filename) == 0: return False else: filename = str(filename) if not filename.endswith('.sra'): filename += '.sra' self.confFilename = filename self.__savedConf = False confDict = ConfigDict.ConfigDict(self.getValuesDict()) try: confDict.write(filename) except IOError: msg = qt.QMessageBox() msg.setWindowTitle('Sum Rules Analysis Error') msg.setIcon(qt.QMessageBox.Warning) msg.setText('Unable to write configuration to \'%s\''%filename) msg.exec_() return False self.__savedConf = True return True def loadConfiguration(self): confDict = ConfigDict.ConfigDict() loadDir = PyMcaDirs.outputDir filters = 'Sum Rules Analysis files (*.sra);;All files (*.*)' filename = qt.QFileDialog.getOpenFileName(self, 'Load Sum Rule Analysis Configuration', loadDir, filters) if type(filename) in [type(list()), type(tuple())]: if len(filename): filename = filename[0] if len(filename) == 0: return else: filename = str(filename) try: confDict.read(filename) except IOError: msg = qt.QMessageBox() msg.setWindowTitle('Sum Rules Analysis Error') msg.setIcon(qt.QMessageBox.Warning) msg.setText('Unable to read configuration file \'%s\''%filename) return try: self.setValuesDict(confDict) #keysLoaded = confDict.keys() #keysValues = self.valuesDict.keys() except KeyError as e: if DEBUG: print('loadConfiguration -- Key Error in \'%s\''%filename) print('\tMessage:', e) else: msg = qt.QMessageBox() msg.setWindowTitle('Sum Rules Analysis Error') msg.setIcon(qt.QMessageBox.Warning) msg.setText('Malformed configuration file \'%s\''%filename) return self.__savedConf = True def close(self): if not self.__savedConf: msg = qt.QMessageBox() msg.setWindowTitle('Sum Rules Tool') msg.setIcon(qt.QMessageBox.Warning) msg.setText('The configuration has changed!\nAre you shure you want to close the window?') msg.setStandardButtons(qt.QMessageBox.Cancel | qt.QMessageBox.Discard) if msg.exec_() == qt.QMessageBox.Cancel: return qt.QMainWindow.close(self) def setElectronConf(self, eConf): eConf = str(eConf) if len(eConf) == 0: self.electronOccupation.setDisabled(True) else: self.electronOccupation.setDisabled(False) # updates the element combo box self.elementCB.clear() elementsList = self.elementsDict[eConf] self.elementCB.addItems(['']+elementsList) def getElementInfo(self, symbol): ddict = {} symbol = str(symbol) if len(symbol) == 0: self.valuesDict[self.__tabElem]['info'] = {} return try: ddict = Elements.Element[symbol] except KeyError: msg = ('setElement -- \'%s\' not found in '%symbol) msg += 'Elements.Element dictionary' print(msg) # Update valuesDict self.valuesDict[self.__tabElem]['info'] = ddict # Update the EdgeCBs # Lookup all keys ending in 'xrays' keys = [item for item in ddict.keys() if item.endswith('xrays')] keys.sort() # keys is list of list, flatten it.. transitions = sum([ddict[key] for key in keys],[]) # Only take transitions that occur in the experiment transitions = [t for t in transitions if t in self.occuringTransitions] tmpDict = dict( [(transition, ddict[transition]['energy']) for transition in transitions]) for cb, ed in [(self.edge1CB, self.edge1Line), (self.edge2CB, self.edge2Line)]: curr = cb.currentText() cb.clear() ed.clear() ed.updateDict(tmpDict) cb.addItems(['']+transitions) # Try to set to old entry idx = cb.findText(QString(curr)) if idx < 0: idx = 0 cb.setCurrentIndex(idx) def getCurrentTab(self): idx = self.tabWidget.currentIndex() return self.tabList[idx] def getValuesDict(self): ddict = {} for tab, tabDict in self.valuesDict.items(): if tab not in ddict.keys(): ddict[tab] = {} for key, obj in tabDict.items(): value = None if isinstance(obj, MarkerSpinBox): value = obj.value() elif isinstance(obj, qt.QCheckBox): state = obj.checkState() if state == qt.Qt.Checked: value = True else: # Also covers state == qt.Qt.PartiallyChecked value = False elif isinstance(obj, qt.QComboBox): tmp = obj.currentText() value = str(tmp) elif isinstance(obj, LineEditDisplay) or\ isinstance(obj, qt.QLineEdit): tmp = str(obj.text()) try: value = float(tmp) except ValueError: value = tmp elif isinstance(obj, qt.QDoubleSpinBox): value = obj.value() elif isinstance(obj, dict): value = obj ddict[tab][key] = value return ddict def setValuesDict(self, ddict): markerList = (self.xasMarkerList + self.xmcdMarkerList) elementList = (self.transitionMetals + self.rareEarths + self.electronConfs) # Check as early as possible if element symbol is present try: symbol = ddict[self.__tabElem]['element'] self.getElementInfo(symbol) except KeyError: pass for tab, tabDict in ddict.items(): if tab not in self.valuesDict.keys(): raise KeyError('setValuesDict -- Tab not found') for key, value in tabDict.items(): if not isinstance(key, str): raise KeyError('setValuesDict -- Key is not str instance') obj = self.valuesDict[tab][key] if isinstance(obj, MarkerSpinBox): try: tmp = float(value) obj.setValue(tmp) except ValueError: if hasattr(self.plotWindow,'graph'): xmin, xmax = self.plotWindow.graph.getX1AxisLimits() else: xmin, xmax = self.plotWindow.getGraphXLimits() tmp = xmin + (xmax-xmin)/10. if DEBUG: msg = 'setValuesDict -- Float conversion failed' msg += ' while setting marker positions. Value:', value print(msg) elif isinstance(obj, qt.QCheckBox): if value == 'True': state = qt.Qt.Checked else: state = qt.Qt.Unchecked obj.setCheckState(state) elif isinstance(obj, qt.QDoubleSpinBox): try: tmp = float(value) obj.setValue(tmp) except ValueError: if DEBUG: msg = 'setValuesDict -- Float conversion failed' msg += ' while setting QDoubleSpinBox value. Value:', value print(msg) elif isinstance(obj, qt.QComboBox): idx = obj.findText(QString(value)) obj.setCurrentIndex(idx) elif isinstance(obj, LineEditDisplay): # Must be before isinstance(obj, qt.QLineEdit) # since LineEditDisplay inherits from QLineEdit obj.checkController() elif isinstance(obj, qt.QLineEdit): if value: tmp = str(value) obj.setText(tmp) else: obj.setText('???') elif isinstance(obj, dict): obj = value else: raise KeyError('setValuesDict -- \'%s\' not found'%key) # In case electron shell is set after element.. try: symbol = ddict[self.__tabElem]['element'] cb = self.valuesDict[self.__tabElem]['element'] idx = cb.findText(QString(symbol)) cb.setCurrentIndex(idx) except KeyError: pass def setRawData(self, x, y, identifier): if identifier not in ['xmcd', 'xas']: msg = 'Identifier must either be \'xmcd\' or \'xas\'' raise ValueError(msg) # Sort energy range sortedIdx = x.argsort() xSorted = x.take(sortedIdx)[:] ySorted = y.take(sortedIdx)[:] # Ensure strictly monotonically increasing energy range dx = numpy.diff(x) if not numpy.all(dx > 0.): mask = numpy.nonzero(dx) xSorted = numpy.take(xSorted, mask) ySorted = numpy.take(ySorted, mask) # Add spectrum to plotWindow using the if identifier == 'xmcd': self.xmcdData = (xSorted, ySorted) #self.plotWindow.graph.mapToY2(intLegend) elif identifier == 'xas': self.xasData = (xSorted, ySorted) # Trigger replot when data is added currIdx = self.tabWidget.currentIndex() self._handleTabChangedSignal(currIdx) def estimate(self): tab = self.getCurrentTab() if tab == self.__tabBG: self.estimatePrePostEdgePositions() elif tab == self.__tabInt: self.estimateInt() else: # Do nothing pass return def estimatePrePostEdgePositions(self): if self.xasData is None: return ddict = self.getValuesDict() edgeList = [ddict[self.__tabElem]['edge1Energy'], ddict[self.__tabElem]['edge2Energy']] filterEdgeList = lambda inp:\ float(inp.replace('meV',''))\ if (len(inp)>0 and inp!='---')\ else 0.0 # Use list comprehension instead of map(filterEdgeList, edgeList) edgeList = [filterEdgeList(edge) for edge in edgeList] x, y = self.xasData xLimMin, xLimMax = self.plotWindow.getGraphXLimits() xMin = x[0] xMax = x[-1] xLen = xMax - xMin xMiddle = .5 *(xMax + xMin) # Average step length (Watch out for uneven data!) xStep = (xMax + xMin) / float(len(x)) # Look for the index closest to the physical middle mask = numpy.nonzero(x <= xMiddle)[0] idxMid = mask[-1] factor = 10./100. edge1, edge2 = edgeList if edge1 == 0.: edge1 = xMin + 0.4 * (xMax - xMin) if edge2 == 0.: edge2 = xMin + 0.6 * (xMax - xMin) maxEdge = max(edge1, edge2) minEdge = min(edge1, edge2) preMax = minEdge - factor*xLen postMin = maxEdge + factor*xLen ddict[self.__tabBG][self.__preMin] = max(xMin,xLimMin+xStep) ddict[self.__tabBG][self.__preMax] = preMax ddict[self.__tabBG][self.__postMin] = postMin ddict[self.__tabBG][self.__postMax] = min(xMax,xLimMax-xStep) ddict[self.__tabBG]['Edge 1'] = edge1 ddict[self.__tabBG]['Edge 2'] = edge2 self.setValuesDict(ddict) self.estimateBG() def estimateInt(self): if self.xasDataCorr is None or\ self.xasInt is None or\ self.xmcdInt is None: # Nothing to do... return ddict = self.getValuesDict() x, y = self.xasData xMin = x[0] xMax = x[-1] xLen = xMax - xMin factor = 10./100. postMin = ddict[self.__tabBG][self.__postMin] postMax = ddict[self.__tabBG][self.__postMax] edge1 = ddict[self.__tabBG]['Edge 1'] edge2 = ddict[self.__tabBG]['Edge 2'] # Estimate intP if edge1 == 0.: intP = edge2 + factor * xLen elif edge2 == 0.: intP = edge1 + factor * xLen else: intP = min(edge1, edge2) + factor * xLen # Estimate intQ intQ = postMin + factor * xLen # Estimate intR intR = postMax - factor * xLen # Also estimate the p, q, r Markers: ddict[self.__tabInt][self.__intP] = intP ddict[self.__tabInt][self.__intQ] = intQ ddict[self.__tabInt][self.__intR] = intR self.setValuesDict(ddict) def estimateBG(self): # Removed default parameter val=None if self.xasData is None: return if self.tabWidget.currentIndex() != 1: # Only call from tab 1 return x, y = self.xasData ddict = self.getValuesDict() x01 = ddict[self.__tabBG]['Edge 1'] x02 = ddict[self.__tabBG]['Edge 2'] preMin = ddict[self.__tabBG][self.__preMin] preMax = ddict[self.__tabBG][self.__preMax] postMin = ddict[self.__tabBG][self.__postMin] postMax = ddict[self.__tabBG][self.__postMax] width = ddict[self.__tabBG]['Step Width'] ratio = ddict[self.__tabBG]['Step Ratio'] if preMin > preMax: tmp = preMin preMin = preMax preMax = tmp if postMin > postMax: tmp = preMin preMin = preMax preMax = tmp idxPre = numpy.nonzero((preMin <= x) & (x <= preMax))[0] idxPost = numpy.nonzero((postMin <= x) & (x <= postMax))[0] if (len(idxPre) == 0) or (len(idxPost) == 0): if DEBUG: print('estimateBG -- Somethings wrong with pre/post edge markers') return xPreMin = x[idxPre.min()] xPreMax = x[idxPre.max()] xPostMin = x[idxPost.min()] xPostMax = x[idxPost.max()] gap = abs(xPreMax - xPostMin) avgPre = numpy.average(y[idxPre]) avgPost = numpy.average(y[idxPost]) bottom = min(avgPre,avgPost) top = max(avgPre,avgPost) if avgPost >= avgPre: sign = 1. erf = upstep else: sign = -1. erf = downstep diff = abs(avgPost - avgPre) if x02 < x01: par1 = (ratio, x02, width) par2 = ((1.-ratio), x01, width) if DEBUG: print('estimateBG -- x02 < x01, using par1: %s and par2: %s'\ %(str(par1),str(par2))) model = bottom + sign * diff * (erf(par1, x) + erf(par2, x)) else: par1 = (ratio, x01, width) par2 = ((1.-ratio), x02, width) if DEBUG: print('estimateBG -- x01 < x02, using par1: %s and par2: %s'\ %(str(par1),str(par2))) model = bottom + sign * diff * (erf(par1, x) + erf(par2, x)) preModel = numpy.asarray(len(x)*[avgPre]) postModel = numpy.asarray(len(x)*[avgPost]) self.xasDataBG = x, model self.plotWindow.addCurve(x, model, self.__xasBGmodel, {}, replot=False) self.plotWindow.addCurve(x, preModel, 'Pre BG model', {}, replot=False) self.plotWindow.addCurve(x, postModel, 'Post BG model', {}, replot=False) if hasattr(self.plotWindow, 'graph'): self.plotWindow.graph.replot() else: self.plotWindow.replot() self.plotWindow.updateLegends() def plotOnDemand(self, window): # Remove all curves if hasattr(self.plotWindow,'graph'): legends = self.plotWindow.getAllCurves(just_legend=True) for legend in legends: self.plotWindow.removeCurve(legend, replot=False) else: self.plotWindow.clearCurves() if (self.xmcdData is None) or (self.xasData is None): # Nothing to do return xyList = [] mapToY2 = False window = window.lower() if window == self.__tabElem: if self.xmcdCorrData is not None: if DEBUG == 1: print('plotOnDemand -- __tabElem: Using self.xmcdCorrData') xmcdX, xmcdY = self.xmcdCorrData xmcdLabel = 'xmcd corr' else: if DEBUG == 1: print('plotOnDemand -- __tabElem: Using self.xmcdData') xmcdX, xmcdY = self.xmcdData xmcdLabel = 'xmcd' xasX, xasY = self.xasData xyList = [(xmcdX, xmcdY, xmcdLabel, {'plot_yaxis': 'right'}), (xasX, xasY, 'xas', {})] # At least one of the curve is going # to get plotted on secondary y axis mapToY2 = True elif window == self.__tabBG: xasX, xasY= self.xasData xyList = [(xasX, xasY, 'xas', {})] if self.xasDataBG is not None: xasBGX, xasBGY = self.xasDataBG xyList += [(xasBGX, xasBGY, self.__xasBGmodel, {})] elif window == self.__tabInt: if self.xasDataBG is None: self.xmcdInt = None self.xasInt = None return # Calculate xasDataCorr xBG, yBG = self.xasDataBG x, y = self.xasData self.xasDataCorr = x, y-yBG if self.xmcdCorrData is not None: if DEBUG: print('plotOnDemand -- __tabInt: Using self.xmcdCorrData') xmcdX, xmcdY = self.xmcdCorrData xmcdIntLabel = 'xmcd corr Int' else: if DEBUG: print('plotOnDemand -- __tabInt: Using self.xmcdData') xmcdX, xmcdY = self.xmcdData xmcdIntLabel = 'xmcd Int' mathObj = Calculations() xasX, xasY = self.xasDataCorr xmcdIntY = mathObj.cumtrapz(y=xmcdY, x=xmcdX) xmcdIntX = .5 * (xmcdX[1:] + xmcdX[:-1]) xasIntY = mathObj.cumtrapz(y=xasY, x=xasX) xasIntX = .5 * (xasX[1:] + xasX[:-1]) xyList = [(xmcdIntX, xmcdIntY, xmcdIntLabel, {'plot_yaxis': 'right'}), (xasX, xasY, 'xas corr', {}), (xasIntX, xasIntY, 'xas Int', {})] self.xmcdInt = xmcdIntX, xmcdIntY self.xasInt = xasIntX, xasIntY xmin, xmax = numpy.infty, -numpy.infty ymin, ymax = numpy.infty, -numpy.infty for x,y,legend,info in xyList: xmin = min(xmin, x.min()) xmax = max(xmax, x.max()) ymin = min(ymin, y.min()) ymax = max(ymax, y.max()) if DEBUG == 1: print('plotOnDemand -- adding Curve..') """ if mapToY2: if hasattr(self.plotWindow, 'graph'): specLegend = self.plotWindow.dataObjectsList[-1] self.plotWindow.graph.mapToY2(specLegend) else: info['plot_yaxis'] = 'right' """ self.plotWindow.addCurve( x=x, y=y, legend=legend, info=info, replace=False, replot=True) # Assure margins in plot when using matplotlibbacken if not hasattr(self.plotWindow, 'graph'): if DEBUG == 1: print('plotOnDemand -- Setting margins..') print('\txmin:',xmin,'xmax:',xmax) print('\tymin:',ymin,'ymax:',ymax) # Pass if no curves present curves = self.plotWindow.getAllCurves(just_legend=True) if len(curves) == 0: # At this point xymin, xymax should be infinite.. pass xmargin = 0.1 * (xmax - xmin) ymargin = 0.1 * (ymax - ymin) self.plotWindow.setGraphXLimits(xmin-xmargin, xmax+xmargin) self.plotWindow.setGraphYLimits(ymin-ymargin, ymax+ymargin) # Need to force replot here for correct display self.plotWindow.replot() self.plotWindow.updateLegends() def addMarker(self, window, label='X MARKER', xpos=None, unit=''): # Add spinbox controlling the marker spinbox = MarkerSpinBox(window, self.plotWindow, label) # Connects self.tabChangedSignal.connect(spinbox._setMarkerFollowMouse) if len(unit) > 0: text = label + ' ' + unit else: text = label # Widget & Layout spinboxWidget = qt.QWidget() spinboxLayout = qt.QHBoxLayout() spinboxLayout.addWidget(qt.QLabel(text)) spinboxLayout.addWidget(qt.HorizontalSpacer()) spinboxLayout.addWidget(spinbox) spinboxWidget.setLayout(spinboxLayout) return spinboxWidget, spinbox def _handlePlotSignal(self, ddict): #if 'marker' not in ddict: if ddict['event'] == 'markerMoved': if self.tabWidget.currentIndex() == 1: # 1 -> BG tab self.estimateBG() def _handleTabChangedSignal(self, idx): if idx >= len(self.tabList): print('Tab changed -- Index out of range') return tab = self.tabList[idx] self.plotOnDemand(window=tab) # Hide/Show markers depending on the selected tab # Problem: MarkerLabels are stored in markerList, # however the MarkerSpinBoxes are stores in # self.valuesDict ... # edgeMarkers & xasMarkers -> BACKGROUND tab # xmcdMarker -> INTEGRATION tab markerList = self.xasMarkerList\ + self.edgeMarkerList\ + self.xmcdMarkerList if tab == self.__tabBG: self.buttonEstimate.setEnabled(True) for marker in markerList: if (marker in self.xasMarkerList) or\ (marker in self.edgeMarkerList): sb = self.valuesDict[self.__tabBG][marker] sb.showMarker() else: sb = self.valuesDict[self.__tabInt][marker] sb.hideMarker() keys = [key for key in self.valuesDict[self.__tabElem].keys()\ if key.endswith('Transition')] ratioSB = self.valuesDict[self.__tabBG]['Step Ratio'] for idx, keyElem in enumerate(keys): keyBG = 'Edge %d'%(idx+1) sb = self.valuesDict[self.__tabBG][keyBG] parentWidget = sb.parent() parentWidget.setEnabled(True) self.estimateBG() elif tab == self.__tabInt: self.buttonEstimate.setEnabled(True) for marker in markerList: if marker in self.xmcdMarkerList: sb = self.valuesDict[self.__tabInt][marker] sb.showMarker() else: sb = self.valuesDict[self.__tabBG][marker] #sb.setValue(0.0) # Should be consistent with estimateBG sb.hideMarker() self.calcMagneticMoments() else: # tab == self.__tabElem: self.buttonEstimate.setEnabled(False) for marker in markerList: if marker in self.xmcdMarkerList: sb = self.valuesDict[self.__tabInt][marker] else: sb = self.valuesDict[self.__tabBG][marker] sb.showMarker() self.tabChangedSignal.emit(tab) def keyPressEvent(self, event): if event.key() == qt.Qt.Key_F2: # Switch to tab Element idx = self.tabList.index(self.__tabElem) self.tabWidget.setCurrentIndex(idx) elif event.key() == qt.Qt.Key_F3: # Switch to tab Background idx = self.tabList.index(self.__tabBG) self.tabWidget.setCurrentIndex(idx) elif event.key() == qt.Qt.Key_F4: # Switch to tab Integration idx = self.tabList.index(self.__tabInt) self.tabWidget.setCurrentIndex(idx) elif event.key() == qt.Qt.Key_F5: # Trigger estimation self.estimate() else: qt.QWidget.keyPressEvent(self, event) class LoadDichorismDataDialog(qt.QFileDialog): dataInputSignal = qt.pyqtSignal(object) def __init__(self, parent=None): #qt.QDialog.__init__(self, parent) qt.QFileDialog.__init__(self, parent) self.dataDict = {} self.validated = False self.setWindowTitle('Load Dichorism Data') if hasattr(self, "setNameFilters"): self.setNameFilters(['Spec Files (*.spec)', 'Text Files (*.txt; *.dat)', 'All Files (*.*)']) self.setOption(qt.QFileDialog.DontUseNativeDialog, True) else: self.setFilter('Spec Files (*.spec);;' +'Text Files (*.txt; *.dat);;' +'All Files (*.*)') # Take the QSpecFileWidget class as used # in the main window to select data and # insert it into a QFileDialog. Emit the # selected data at acceptance self.specFileWidget = QSpecFileWidget.QSpecFileWidget( parent=parent, autoreplace=False) # Hide the widget containing the Auto Add/Replace # checkboxes self.specFileWidget.autoAddBox.parent().hide() # Remove the tab widget, only the counter widget # is needed. Remember: close() only hides a widget # however the widget persists in the memory. #self.specFileWidget.mainTab.removeTab(1) self.specFileWidget.mainTab.hide() #self.counterTab = self.specFileWidget.mainTab.widget(0) self.specFileWidget.mainLayout.addWidget(self.specFileWidget.cntTable) self.specFileWidget.cntTable.show() # Change the table headers in cntTable # Note: By conicidence, the original SpecFileCntTable # has just enough columns as we need. Here, we rename # the last two: # 'y' -> 'XAS' # 'mon' -> 'XMCD' labels = ['Counter', 'X', 'XAS', 'XMCD'] table = self.specFileWidget.cntTable for idx in range(len(labels)): item = table.horizontalHeaderItem(idx) if item is None: item = qt.QTableWidgetItem(labels[idx], qt.QTableWidgetItem.Type) item.setText(labels[idx]) table.setHorizontalHeaderItem(idx,item) # Hide the widget containing the Add, Replace, ... # PushButtons self.specFileWidget.buttonBox.hide() # Change selection behavior/mode in the scan list so # that only a single scan can be selected at a time self.specFileWidget.list.setSelectionBehavior(qt.QAbstractItemView.SelectRows) self.specFileWidget.list.setSelectionMode(qt.QAbstractItemView.SingleSelection) # Tinker with the native layout of QFileDialog mainLayout = self.layout() mainLayout.addWidget(self.specFileWidget, 0, 4, 4, 1) # # Signals # self.currentChanged.connect(self.setDataSource) def setDataSource(self, filename): # Opens a spec file and allows to browse its # contents in the top right widget filename = str(filename) if osPathIsDir(filename): if DEBUG == 1: print('LoadDichorismDataDialog.setDataSource -- Invalid path or filename..') return try: src = SpecFileDataSource.SpecFileDataSource(filename) except ValueError: return self.specFileWidget.setDataSource(src) def accept(self): llist = self.selectedFiles() if len(llist) == 1: filename = str(llist[0]) else: return self.processSelectedFile(filename) if self.validated: super(LoadDichorismDataDialog, self).accept() def processSelectedFile(self, filename): self.dataDict = {} filename = str(filename) scanList = self.specFileWidget.list.selectedItems() if len(scanList) == 0: self.errorMessageBox('No scan selected!') return else: scan = scanList[0] scanNo = str(scan.text(1)) table = self.specFileWidget.cntTable # ddict['x'] -> 'X' # ddict['y'] -> 'XAS' # ddict['m'] -> 'XMCD' ddict = table.getCounterSelection() colX = ddict['x'] colXas = ddict['y'] colXmcd = ddict['m'] # Check if only one is selected if len(colX) != 1: self.errorMessageBox('Single counter must be set as X') return else: colX = colX[0] if len(colXas) != 1: self.errorMessageBox('Single counter must be set as XAS') return else: colXas = colXas[0] if len(colXmcd) != 1: self.errorMessageBox('Single counter must be set as XMCD') return else: colXmcd = colXmcd[0] if colXas == colX: self.errorMessageBox('X and XAS use the same counter') return elif colX == colXmcd: self.errorMessageBox('X and XMCD use the same counter') return elif colXmcd == colXas: self.errorMessageBox('XAS and XMCD use the same counter') return # Extract data dataObj = self.specFileWidget.data.getDataObject(scanNo) # data has format (rows, cols) -> (steps, counters) self.dataDict['fn'] = filename self.dataDict['x'] = dataObj.data[:, colX] self.dataDict['xas'] = dataObj.data[:, colXas] self.dataDict['xmcd'] = dataObj.data[:, colXmcd] self.validated = True self.dataInputSignal.emit(self.dataDict) def errorMessageBox(self, msg): box = qt.QMessageBox() box.setWindowTitle('Sum Rules Load Data Error') box.setIcon(qt.QMessageBox.Warning) box.setText(msg) box.exec_() if __name__ == '__main__': app = qt.QApplication([]) win = SumRulesWindow() #r'C:\Users\tonn\lab\datasets\sum_rules\sum_rules_4f_example_EuRhj2Si2' #win = DataDisplay.PlotWindow() #xmin, xmax = win.getGraphXLimits() #win.insertXMarker(50., draggable=True) #win = LoadDichorismDataDialog() #x, avgA, avgB, xmcd, xas = getData() #win.plotWindow.newCurve(x,xmcd, legend='xmcd', xlabel='ene_st', ylabel='zratio', info={}, replot=False, replace=False) #win.setRawData(x,xmcd, identifier='xmcd') #win.plotWindow.newCurve(x,xas, legend='xas', xlabel='ene_st', ylabel='zratio', info={}, replot=False, replace=False) #win.setRawData(x,xas, identifier='xas') #win = LoadDichorismDataDialog() win.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/QDataSource.py0000644000276300001750000001661313136054446021352 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" """ Generic access to data sources. """ import sys import os from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() from PyMca5.PyMcaCore import SpecFileDataSource from PyMca5.PyMcaCore import EdfFileDataSource from PyMca5.PyMcaGui.io import QEdfFileWidget from PyMca5.PyMcaGui.io import QSpecFileWidget if sys.platform == "win32": source_types = { SpecFileDataSource.SOURCE_TYPE: SpecFileDataSource.SpecFileDataSource, EdfFileDataSource.SOURCE_TYPE: EdfFileDataSource.EdfFileDataSource} source_widgets = { SpecFileDataSource.SOURCE_TYPE: QSpecFileWidget.QSpecFileWidget, EdfFileDataSource.SOURCE_TYPE: QEdfFileWidget.QEdfFileWidget} sps = None else: from PyMca5.PyMcaGui.pymca import QSpsDataSource sps = QSpsDataSource.SpsDataSource.sps from PyMca5.PyMcaGui.io import QSpsWidget source_types = { SpecFileDataSource.SOURCE_TYPE: SpecFileDataSource.SpecFileDataSource, EdfFileDataSource.SOURCE_TYPE: EdfFileDataSource.EdfFileDataSource, QSpsDataSource.SOURCE_TYPE: QSpsDataSource.QSpsDataSource} source_widgets = { SpecFileDataSource.SOURCE_TYPE: QSpecFileWidget.QSpecFileWidget, EdfFileDataSource.SOURCE_TYPE: QEdfFileWidget.QEdfFileWidget, QSpsDataSource.SOURCE_TYPE: QSpsWidget.QSpsWidget} NEXUS = True try: from PyMca5.PyMcaCore import NexusDataSource from PyMca5.PyMcaGui.pymca import PyMcaNexusWidget import h5py except: # HDF5 file format support is not mandatory NEXUS = False if NEXUS: source_types[NexusDataSource.SOURCE_TYPE] = NexusDataSource.NexusDataSource source_widgets[NexusDataSource.SOURCE_TYPE] = PyMcaNexusWidget.PyMcaNexusWidget def getSourceType(sourceName0): if type(sourceName0) == type([]): sourceName = sourceName0[0] else: sourceName = sourceName0 if sps is not None: if sourceName in sps.getspeclist(): return QSpsDataSource.SOURCE_TYPE if not os.path.exists(sourceName): if ('%' in sourceName): try: f = h5py.File(sourceName, 'r', driver='family') f.close() f = None return NexusDataSource.SOURCE_TYPE except: pass if os.path.exists(sourceName): f = open(sourceName, 'rb') if sys.version < '3.0': line = f.readline() if not len(line.replace("\n","")): line = f.readline() else: tiff = False try: twoChars = f.read(2) if twoChars in [eval("b'II'"), eval("b'MM'")]: f.close() return EdfFileDataSource.SOURCE_TYPE except: pass f.seek(0) try: line = str(f.readline().decode()) if not len(line.replace("\n","")): line = str(f.readline().decode()) except UnicodeDecodeError: line = str(f.readline().decode("latin-1")) if not len(line.replace("\n","")): line = str(f.readline().decode("latin-1")) f.close() if sourceName.lower().endswith('.cbf'): #pilatus CBF mccd = True elif len(line) < 2: mccd = False elif line[0:2] in ["II","MM"]: #this also accounts for TIFF mccd = True elif sourceName.lower().endswith('.spe') and\ (line[0:1] not in ['$', '#']): #Roper images mccd = True else: mccd = False if (line.startswith("{")) or mccd: return EdfFileDataSource.SOURCE_TYPE elif sourceName.lower().endswith('edf.gz') or\ sourceName.lower().endswith('ccd.gz') or\ sourceName.lower().endswith('raw.gz') or\ sourceName.lower().endswith('edf.bz2') or\ sourceName.lower().endswith('ccd.bz2') or\ sourceName.lower().endswith('raw.bz2'): return EdfFileDataSource.SOURCE_TYPE else: if NEXUS: ishdf5 = False try: ishdf5 = h5py.is_hdf5(sourceName) except TypeError: if sys.version > '2.9': if sourceName.endswith('.h5') or\ sourceName.endswith('.hdf') or\ sourceName.endswith('.nxs'): ishdf5 = True if ishdf5: return NexusDataSource.SOURCE_TYPE try: f = h5py.File(sourceName, 'r') f.close() f = None return NexusDataSource.SOURCE_TYPE except: pass return SpecFileDataSource.SOURCE_TYPE else: return QSpsDataSource.SOURCE_TYPE def QDataSource(name=None, source_type=None): if name is None: raise ValueError("Invalid Source Name") if source_type is None: source_type = getSourceType(name) try: sourceClass = source_types[source_type] except KeyError: #ERROR invalid source type raise TypeError("Invalid Source Type, source type should be one of %s" % source_types.keys()) return sourceClass(name) if __name__ == "__main__": try: sourcename=sys.argv[1] key =sys.argv[2] except: print("Usage: QDataSource ") sys.exit() #one can use this: #obj = EdfFileDataSource(sourcename) #or this: obj = QDataSource(sourcename) #data = obj.getData(key,selection={'pos':(10,10),'size':(40,40)}) #data = obj.getData(key,selection={'pos':None,'size':None}) data = obj.getDataObject(key) print("info = ",data.info) print("data shape = ",data.data.shape) PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/McaWindow.py0000644000276300001750000022563313173367502021074 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy #from numpy import argsort, nonzero, take import time import traceback from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, 'QString'): QString = qt.QString else: QString = qt.safe_str if __name__ == "__main__": app = qt.QApplication([]) import copy from PyMca5.PyMcaGui.io import PyMcaFileDialogs from PyMca5.PyMcaGui import IconDict from . import ScanWindow from . import McaCalibrationControlGUI from PyMca5.PyMcaIO import ConfigDict from PyMca5.PyMcaGui import McaAdvancedFit from PyMca5.PyMcaCore import DataObject from PyMca5.PyMcaGui.physics.xrf import McaCalWidget from . import McaSimpleFit from PyMca5.PyMcaMath.fitting import Specfit from PyMca5.PyMcaMath.fitting import SpecfitFuns from PyMca5.PyMcaGui import PyMcaPrintPreview from PyMca5 import PyMcaDirs from PyMca5.PyMcaGui import QPyMcaMatplotlibSave1D MATPLOTLIB = True #force understanding of utf-8 encoding #otherways it cannot generate svg output try: import encodings.utf_8 except: #not a big problem pass DEBUG = 0 class McaWindow(ScanWindow.ScanWindow): def __init__(self, parent=None, name="Mca Window", specfit=None, backend=None, plugins=True, newplot=False, roi=True, fit=True, **kw): ScanWindow.ScanWindow.__init__(self, parent, name=name, newplot=newplot, plugins=plugins, backend=backend, roi=roi, fit=fit, **kw) self.setWindowType("MCA") # these two objects are the same self.dataObjectsList = self._curveList # but this is tricky self.dataObjectsDict = {} #self.setWindowTitle(name) self.outputDir = None self.outputFilter = None self.matplotlibDialog = None self.calibration = 'None' self.calboxoptions = ['None','Original (from Source)','Internal (from Source OR PyMca)'] self.caldict={} self.calwidget = None self.currentROI = None self.peakmarker = None if specfit is None: self.specfit = Specfit.Specfit() else: self.specfit = specfit self.simplefit = McaSimpleFit.McaSimpleFit(specfit=self.specfit) self.specfit.fitconfig['McaMode'] = 1 self.advancedfit = McaAdvancedFit.McaAdvancedFit() self.printPreview = PyMcaPrintPreview.PyMcaPrintPreview(modal = 0) if DEBUG: print("printPreview id = %d" % id(self.printPreview)) self._buildCalibrationControlWidget() self._toggleCounter = 2 self._togglePointsSignal() self._ownSignal = None self.changeGridLevel() self.connections() self.setGraphYLabel('Counts') if 1: self.fitButtonMenu = qt.QMenu() self.fitButtonMenu.addAction(QString("Simple"), self.mcaSimpleFitSignal) self.fitButtonMenu.addAction(QString("Advanced") , self.mcaAdvancedFitSignal) #self.fitButtonMenu.addAction(QString("Simple Fit"), # self._simpleFitSignal) #self.fitButtonMenu.addAction(QString("Customized Fit") , # self._customFitSignal) def _buildCalibrationControlWidget(self): widget = self.centralWidget() self.controlWidget = McaCalibrationControlGUI.McaCalibrationControlGUI(\ widget) widget.layout().addWidget(self.controlWidget) self.controlWidget.sigMcaCalibrationControlGUISignal.connect(\ self.__anasignal) def connections(self): self.simplefit.sigMcaSimpleFitSignal.connect(self.__anasignal) self.advancedfit.sigMcaAdvancedFitSignal.connect(self.__anasignal) def mcaSimpleFitSignal(self): legend = self.getActiveCurve(just_legend=True) if legend is None: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Please Select an active curve") msg.setWindowTitle('MCA Window Simple Fit') msg.exec_() return x, y, info = self.getDataAndInfoFromLegend(legend) self.advancedfit.hide() self.simplefit.show() self.simplefit.setFocus() self.simplefit.raise_() if info is not None: xmin, xmax = self.getGraphXLimits() self.__simplefitcalmode = self.calibration curveinfo = info if self.calibration == 'None': calib = [0.0,1.0,0.0] else: if 'McaCalib' in curveinfo: calib = curveinfo['McaCalib'] else: calib = [0.0, 1.0, 0.0] self.__simplefitcalibration = calib calibrationOrder = curveinfo.get('McaCalibOrder',2) if calibrationOrder == 'TOF': x = calib[2] + calib[0] / pow(x-calib[1],2) else: x = calib[0] + calib[1] * x + calib[2] * x * x self.simplefit.setdata(x=x,y=y, xmin=xmin, xmax=xmax, legend=legend) """ if self.specfit.fitconfig['McaMode']: self.specfitGUI.guiparameters.fillfromfit(self.specfit.paramlist, current='Region 1') self.specfitGUI.guiparameters.removeallviews(keep='Region 1') else: self.specfitGUI.guiparameters.fillfromfit(self.specfit.paramlist, current='Fit') self.specfitGUI.guiparameters.removeallviews(keep='Fit') """ if self.specfit.fitconfig['McaMode']: self.simplefit.fit() else: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error. Trying to fit fitted data?") msg.setWindowTitle('MCA Window Simple Fit') msg.exec_() def getActiveCurve(self, just_legend=False): if DEBUG: print("Local MCA window getActiveCurve called!!!!") legend = super(McaWindow, self).getActiveCurve(just_legend) if just_legend: return legend activeCurve = legend if activeCurve in [None, []]: return None x = activeCurve[0] y = activeCurve[1] legend = activeCurve[2] curveinfo = activeCurve[3] xlabel = self.getGraphXLabel() ylabel = self.getGraphYLabel() """ if legend in self.dataObjectsDict.keys(): info = self.dataObjectsDict[legend].info if str(xlabel.upper()) != "CHANNEL": x = self.dataObjectsDict[legend].x[0] else: info = None else: info = None if info is not None: if self.calibration == 'None': calib = [0.0,1.0,0.0] else: if 'McaCalib' in curveinfo: calib = curveinfo['McaCalib'] else: calib = [0.0, 1.0, 0.0] calibrationOrder = curveinfo.get('McaCalibOrder',2) if calibrationOrder == 'TOF': x = calib[2] + calib[0] / pow(x - calib[1],2) else: x = calib[0] + calib[1] * x + calib[2] * x * x else: info = curveinfo """ info = curveinfo info['xlabel'] = xlabel info['ylabel'] = ylabel return x, y, legend, info def getDataAndInfoFromLegend(self, legend): """ Tries to provide the requested curve in terms of the channels and not in the terms as it is displayed. """ xdata = None ydata = None info = None if legend in self.dataObjectsDict: # The data as displayed x, y, legend, curveinfo = self.getCurve(legend) # the data as first entered info = self.dataObjectsDict[legend].info if self.calibration == 'None': if 'McaCalibSource' in curveinfo: calib = curveinfo['McaCalibSource'] return x, y, curveinfo elif 'McaCalibSource' in info: return x, y, info else: return x, y, curveinfo else: if 'McaCalib' in curveinfo: calib = curveinfo['McaCalib'] current = True else: calib = info['McaCalib'] current = False x0 = self.dataObjectsDict[legend].x[0] energy = calib[0] + calib[1] * x0 + calib[2] * x0 * x0 if numpy.allclose(x, energy): xdata = self.dataObjectsDict[legend].x[0] ydata = y if current: return xdata, ydata, curveinfo else: return xdata, ydata, info else: # return current data return x, y, curveinfo else: info = None xdata = None ydata = None return xdata, ydata, info def mcaAdvancedFitSignal(self): legend = self.getActiveCurve(just_legend=True) if legend in [None, []]: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Please Select an active curve") msg.setWindowTitle('MCA Window') msg.exec_() return x, y, info = self.getDataAndInfoFromLegend(legend) curveinfo = self.getCurve(legend)[3] xmin,xmax = self.getGraphXLimits() if self.calibration == 'None': if 'McaCalibSource' in curveinfo: calib = curveinfo['McaCalibSource'] elif 'McaCalibSource' in info: calib = info['McaCalibSource'] else: calib = [0.0,1.0,0.0] else: calib = curveinfo['McaCalib'] energy = calib[0] + calib[1] * x + calib[2] * x * x i1 = min(numpy.nonzero(energy >= xmin)[0]) i2 = max(numpy.nonzero(energy <= xmax)[0]) xmin = x[i1] * 1.0 xmax = x[i2] * 1.0 if self.simplefit is not None: self.simplefit.hide() self.advancedfit.show() self.advancedfit.setFocus() self.advancedfit.raise_() if info is not None: xlabel = 'Channel' self.advancedfit.setData(x=x,y=y, xmin=xmin, xmax=xmax, legend=legend, xlabel=xlabel, calibration=calib, sourcename=info['SourceName'], time=info.get('McaLiveTime', None)) self.advancedfit.fit() else: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error. Trying to fit fitted data?") msg.exec_() return def __anasignal(self,dict): if DEBUG: print("__anasignal called dict = ",dict) if dict['event'] == 'clicked': # A button has been cicked if dict['button'] == 'Source': pass elif dict['button'] == 'Calibration': #legend,x,y = self.graph.getactivecurve() legend = self.getActiveCurve(just_legend=1) if legend is None: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Please Select an active curve") msg.exec_() return else: x, y, info = self.getDataAndInfoFromLegend(legend) if info is None: return ndict = {} ndict[legend] = {'order':1, 'A':0.0, 'B':1.0, 'C':0.0} if legend in self.caldict: ndict[legend].update(self.caldict[legend]) if abs(ndict[legend]['C']) > 0.0: ndict[legend]['order'] = self.caldict[legend].get('order', 2) elif 'McaCalib' in info: if type(info['McaCalib'][0]) == type([]): calib = info['McaCalib'][0] else: calib = info['McaCalib'] calibrationOrder = info.get('McaCalibOrder', 2) if len(calib) > 1: ndict[legend]['A'] = calib[0] ndict[legend]['B'] = calib[1] if len(calib) >2: ndict[legend]['order'] = calibrationOrder ndict[legend]['C'] = calib[2] caldialog = McaCalWidget.McaCalWidget(legend=legend, x=x, y=y, modal=1, caldict=ndict) #info,x,y = self.getinfodatafromlegend(legend) #caldialog.graph.newCurve("fromlegend",x=x,y=y) ret = caldialog.exec_() if ret == qt.QDialog.Accepted: self.caldict.update(caldialog.getDict()) item, text = self.controlWidget.calbox.getCurrent() options = [] for option in self.calboxoptions: options.append(option) for key in self.caldict.keys(): if key not in options: options.append(key) try: self.controlWidget.calbox.setOptions(options) except: pass self.controlWidget.calbox.setCurrentIndex(item) self.refresh() del caldialog elif dict['button'] == 'CalibrationCopy': #legend,x,y = self.graph.getactivecurve() legend = self.getActiveCurve(just_legend=1) if legend is None: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Please Select an active curve") msg.exec_() return else: x, y, info = self.getDataAndInfoFromLegend(legend) if info is None: return ndict=copy.deepcopy(self.caldict) if 'McaCalib' in info: if type(info['McaCalib'][0]) == type([]): sourcecal = info['McaCalib'][0] else: sourcecal = info['McaCalib'] else: sourcecal = [0.0,1.0,0.0] for curve in self.getAllCurves(just_legend=True): curveinfo = self.getCurve(curve)[3] if 'McaCalibSource' in curveinfo: key = "%s (Source)" % curve if key not in ndict: if curveinfo['McaCalibSource'] != [0.0,1.0,0.0]: ndict[key] = {'A':curveinfo['McaCalibSource'][0], 'B':curveinfo['McaCalibSource'][1], 'C':curveinfo['McaCalibSource'][2]} if curveinfo['McaCalibSource'][2] != 0.0: ndict[key]['order'] = 2 else: ndict[key]['order'] = 1 if curve not in self.caldict.keys(): if curveinfo['McaCalib'] != [0.0,1.0,0.0]: if curveinfo['McaCalib'] != curveinfo['McaCalibSource']: key = "%s (PyMca)" % curve ndict[key] = {'A':curveinfo['McaCalib'][0], 'B':curveinfo['McaCalib'][1], 'C':curveinfo['McaCalib'][2]} if curveinfo['McaCalib'][2] != 0.0: ndict[key]['order'] = 2 else: ndict[key]['order'] = 1 else: if curve not in self.caldict.keys(): if curveinfo['McaCalib'] != [0.0,1.0,0.0]: key = "%s (PyMca)" % curve ndict[key] = {'A':curveinfo['McaCalib'][0], 'B':curveinfo['McaCalib'][1], 'C':curveinfo['McaCalib'][2]} if curveinfo['McaCalib'][2] != 0.0: ndict[key]['order'] = 2 else: ndict[key]['order'] = 1 if not (legend in self.caldict): ndict[legend]={} ndict[legend]['A'] = sourcecal[0] ndict[legend]['B'] = sourcecal[1] ndict[legend]['C'] = sourcecal[2] if sourcecal[2] != 0.0: ndict[legend]['order'] = 2 else: ndict[legend]['order'] = 1 caldialog = McaCalWidget.McaCalCopy(legend=legend,modal=1, caldict=ndict, sourcecal=sourcecal, fl=0) #info,x,y = self.getinfodatafromlegend(legend) #caldialog.graph.newCurve("fromlegend",x=x,y=y) ret = caldialog.exec_() if ret == qt.QDialog.Accepted: self.caldict.update(caldialog.getDict()) item, text = self.controlWidget.calbox.getCurrent() options = [] for option in self.calboxoptions: options.append(option) for key in self.caldict.keys(): if key not in options: options.append(key) try: self.controlWidget.calbox.setOptions(options) except: pass self.controlWidget.calbox.setCurrentIndex(item) self.refresh() del caldialog elif dict['button'] == 'CalibrationLoad': item = dict['box'][0] itemtext = dict['box'][1] filename = dict['line_edit'] if not os.path.exists(filename): text = "Error. Calibration file %s not found " % filename msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText(text) msg.exec_() return cald = ConfigDict.ConfigDict() try: cald.read(filename) except: text = "Error. Cannot read calibration file %s" % filename msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText(text) msg.exec_() return self.caldict.update(cald) options = [] for option in self.calboxoptions: options.append(option) for key in self.caldict.keys(): if key not in options: options.append(key) try: self.controlWidget.calbox.setOptions(options) self.controlWidget.calbox.setCurrentIndex(options.index(itemtext)) self.calibration = itemtext * 1 self.controlWidget._calboxactivated(itemtext) except: text = "Error. Problem updating combobox" msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText(text) msg.exec_() return elif dict['button'] == 'CalibrationSave': filename = dict['line_edit'] cald = ConfigDict.ConfigDict() if os.path.exists(filename): try: os.remove(filename) except: text = "Error. Problem deleting existing file %s" % filename msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText(text) msg.exec_() return cald.update(self.caldict) cald.write(filename) elif dict['button'] == 'Detector': pass elif dict['button'] == 'Search': pass elif dict['button'] == 'Fit': if dict['box'][1] == 'Simple': self.mcasimplefitsignal() elif dict['box'][1] == 'Advanced': self.mcaadvancedfitsignal() else: print("Unknown Fit Event") elif dict['event'] == 'activated': # A comboBox has been selected if dict['boxname'] == 'Source': pass elif dict['boxname'] == 'Calibration': self.calibration = dict['box'][1] self.clearMarkers() self.refresh() self.resetZoom() elif dict['boxname'] == 'Detector': pass elif dict['boxname'] == 'Search': pass elif dict['boxname'] == 'ROI': if dict['combotext'] == 'Add': pass elif dict['combotext'] == 'Del': pass else: pass elif dict['boxname'] == 'Fit': """ if dict['box'][1] == 'Simple': self.anacontainer.hide() else: self.anacontainer.show() """ pass else: if DEBUG: print("Unknown combobox",dict['boxname']) elif (dict['event'] == 'EstimateFinished'): pass elif (dict['event'] == 'McaAdvancedFitFinished') or \ (dict['event'] == 'McaAdvancedFitMatrixFinished') : x = dict['result']['xdata'] yb = dict['result']['continuum'] legend0= dict['info']['legend'] fitcalibration = [dict['result']['fittedpar'][0], dict['result']['fittedpar'][1], 0.0] if dict['event'] == 'McaAdvancedFitMatrixFinished': legend = dict['info']['legend'] + " Fit" legend3 = dict['info']['legend'] + " Matrix" ymatrix = dict['result']['ymatrix'] * 1.0 #copy the original info from the curve newDataObject = DataObject.DataObject() newDataObject.info = copy.deepcopy(self.dataObjectsDict[legend0].info) newDataObject.info['SourceType']= 'AdvancedFit' newDataObject.info['SourceName'] = 1 * self.dataObjectsDict[legend0].info['SourceName'] newDataObject.info['legend'] = legend3 newDataObject.info['Key'] = legend3 newDataObject.info['McaCalib'] = fitcalibration * 1 newDataObject.x = [x] newDataObject.y = [ymatrix] newDataObject.m = None self.dataObjectsDict[legend3] = newDataObject #self.graph.newCurve(legend3,x=x,y=ymatrix,logfilter=1) else: legend = dict['info']['legend'] + " Fit" yfit = dict['result']['yfit'] * 1.0 #copy the original info from the curve newDataObject = DataObject.DataObject() newDataObject.info = copy.deepcopy(self.dataObjectsDict[legend0].info) newDataObject.info['SourceType']= 'AdvancedFit' newDataObject.info['SourceName'] = 1 * self.dataObjectsDict[legend0].info['SourceName'] newDataObject.info['legend'] = legend newDataObject.info['Key'] = legend newDataObject.info['McaCalib'] = fitcalibration * 1 newDataObject.data = numpy.reshape(numpy.concatenate((x,yfit,yb),0),(3,len(x))) newDataObject.x = [x] newDataObject.y = [yfit] newDataObject.m = None self.dataObjectsDict[legend] = newDataObject #self.graph.newCurve(legend,x=x,y=yfit,logfilter=1) #the same for the background legend2 = dict['info']['legend'] + " Bkg" newDataObject2 = DataObject.DataObject() newDataObject2.info = copy.deepcopy(self.dataObjectsDict[legend0].info) newDataObject2.info['SourceType']= 'AdvancedFit' newDataObject2.info['SourceName'] = 1 * self.dataObjectsDict[legend0].info['SourceName'] newDataObject2.info['legend'] = legend2 newDataObject2.info['Key'] = legend2 newDataObject2.info['McaCalib'] = fitcalibration * 1 newDataObject2.data = None newDataObject2.x = [x] newDataObject2.y = [yb] newDataObject2.m = None self.dataObjectsDict[legend2] = newDataObject2 #self.graph.newCurve(legend2,x=x,y=yb,logfilter=1) if not (legend in self.caldict): self.caldict[legend] = {} self.caldict[legend] ['order'] = 1 self.caldict[legend] ['A'] = dict['result']['fittedpar'][0] self.caldict[legend] ['B'] = dict['result']['fittedpar'][1] self.caldict[legend] ['C'] = 0.0 options = [] for option in self.calboxoptions: options.append(option) for key in self.caldict.keys(): if key not in options: options.append(key) try: self.controlWidget.calbox.setOptions(options) #I only reset the graph scale after a fit, not on a matrix spectrum if dict['event'] == 'McaAdvancedFitFinished': #get current limits if self.calibration == 'None': xmin, xmax =self.getGraphXLimits() emin = dict['result']['fittedpar'][0] + \ dict['result']['fittedpar'][1] * xmin emax = dict['result']['fittedpar'][0] + \ dict['result']['fittedpar'][1] * xmax else: emin,emax = self.getGraphXLimits() ymin, ymax =self.getGraphYLimits() self.controlWidget.calbox.setCurrentIndex(options.index(legend)) self.calibration = legend self.controlWidget._calboxactivated(legend) self.setGraphYLimits(ymin, ymax, replot=False) if emin < emax: self.setGraphXLimits(emin, emax, replot=True) else: self.setGraphXLimits(emax, emin, replot=True) except: if DEBUG: print("Refreshing due to exception", sys.exc_info()[1]) self.refresh() #self.graph.replot() elif dict['event'] == 'McaFitFinished': mcaresult = dict['data'] legend = dict['info']['legend'] + " " i = 0 xfinal = [] yfinal = [] ybfinal= [] regions = [] legend0= dict['info']['legend'] mcamode = True for result in mcaresult: i += 1 if result['chisq'] is not None: mcamode = result['fitconfig']['McaMode'] idx=numpy.nonzero((self.specfit.xdata0>=result['xbegin']) & \ (self.specfit.xdata0<=result['xend']))[0] x=numpy.take(self.specfit.xdata0,idx) y=self.specfit.gendata(x=x,parameters=result['paramlist']) nparb= len(self.specfit.bkgdict[self.specfit.fitconfig['fitbkg']][1]) yb = self.specfit.gendata(x=x,parameters=result['paramlist'][0:nparb]) xtoadd = numpy.take(self.dataObjectsDict[legend0].x[0],idx).tolist() if not len(xtoadd): continue xfinal = xfinal + xtoadd regions.append([xtoadd[0],xtoadd[-1]]) yfinal = yfinal + y.tolist() ybfinal= ybfinal + yb.tolist() #self.graph.newCurve(legend + 'Region %d' % i,x=x,y=yfit,logfilter=1) legend = legend0 + " SFit" if legend in self.dataObjectsDict.keys(): if legend in self.getAllCurves(just_legend=True): if mcamode: if not ('baseline' in self.dataObjectsDict[legend].info): self.removeCurve(legend) else: if 'baseline' in self.dataObjectsDict[legend].info: self.removeCurve(legend) #copy the original info from the curve newDataObject = DataObject.DataObject() newDataObject.info = copy.deepcopy(self.dataObjectsDict[legend0].info) newDataObject.info['SourceType']= 'SimpleFit' newDataObject.info['SourceName'] = 1 * self.dataObjectsDict[legend0].info['SourceName'] newDataObject.info['legend'] = legend newDataObject.info['Key'] = legend newDataObject.info['CalMode'] = self.__simplefitcalmode newDataObject.info['McaCalib'] = self.__simplefitcalibration x = numpy.array(xfinal) yfit = numpy.array(yfinal) yb = numpy.array(ybfinal) newDataObject.x = [x] newDataObject.y = [yfit] newDataObject.m = [numpy.ones(len(yfit)).astype(numpy.float)] if mcamode: newDataObject.info['regions'] = regions newDataObject.info['baseline'] = yb self.dataObjectsDict[legend] = newDataObject self.refresh() return elif dict['event'] == 'McaTableFilled': if self.peakmarker is not None: self.graph.removeMarker(self.peakmarker) self.peakmarker = None elif dict['event'] == 'McaTableRowHeaderClicked': #I have to mark the peaks if dict['row'] >= 0: pos = dict['Position'] label = 'PEAK %d' % (dict['row']+1) if self.peakmarker is not None: self.removeMarker(self.peakmarker) self.insertXMarker(pos, label, text=label, color='pink', draggable=False) self.peakmarker = label else: if self.peakmarker is not None: self.removeMarker(self.peakmarker) self.peakmarker = None elif dict['event'] == 'McaTableClicked': if self.peakmarker is not None: self.removeMarker(self.peakmarker) self.peakmarker = None elif (dict['event'] == 'McaAdvancedFitElementClicked') or \ (dict['event'] == 'ElementClicked'): #this has been moved to the fit window pass elif dict['event'] == 'McaAdvancedFitPrint': #self.advancedfit.printps(doit=1) self.printHtml(dict['text']) elif dict['event'] == 'McaSimpleFitPrint': self.printHtml(dict['text']) elif dict['event'] == 'McaSimpleFitClosed': if self.peakmarker is not None: self.removeMarker(self.peakmarker) self.peakmarker = None self.replot() elif dict['event'] == 'ScanFitPrint': self.printHtml(dict['text']) elif dict['event'] == 'AddROI': return super(McaWindow, self)._roiSignal(dict) elif dict['event'] == 'DelROI': return super(McaWindow, self)._roiSignal(dict) elif dict['event'] == 'ResetROI': return super(McaWindow, self)._roiSignal(dict) elif dict['event'] == 'ActiveROI': print("ActiveROI event") pass elif dict['event'] == 'selectionChanged': print("Selection changed event not implemented any more") else: if DEBUG: print("Unknown or ignored event",dict['event']) def emitCurrentROISignal(self): if self.currentROI is None: return #I have to get the current calibration if self.getGraphXLabel().upper() != "CHANNEL": #I have to get the energy A = self.controlWidget.calinfo.caldict['']['A'] B = self.controlWidget.calinfo.caldict['']['B'] C = self.controlWidget.calinfo.caldict['']['C'] order = self.controlWidget.calinfo.caldict['']['order'] else: A = 0.0 try: legend = self.getActiveCurve(just_legend=True) if legend in self.dataObjectsDict.keys(): A = self.dataObjectsDict[legend].x[0][0] except: if DEBUG: print("X axis offset not found") B = 1.0 C = 0.0 order = 1 key = self.currentROI roiList, roiDict = self.roiWidget.getROIListAndDict() fromdata = roiDict[key]['from' ] todata = roiDict[key]['to'] ddict = {} ddict['event'] = "ROISignal" ddict['name'] = key ddict['from'] = fromdata ddict['to'] = todata ddict['type'] = roiDict[self.currentROI]["type"] ddict['calibration']= [A, B, C, order] self.sigROISignal.emit(ddict) def setDispatcher(self, w): w.sigAddSelection.connect(self._addSelection) w.sigRemoveSelection.connect(self._removeSelection) w.sigReplaceSelection.connect(self._replaceSelection) def _addSelection(self, selection, replot=True): if DEBUG: print("__add, selection = ",selection) if type(selection) == type([]): sellist = selection else: sellist = [selection] for sel in sellist: # force the selections to include their source for completeness? # source = sel['SourceName'] key = sel['Key'] if "scanselection" in sel: if sel["scanselection"] not in [False, "MCA"]: continue mcakeys = [key] for mca in mcakeys: legend = sel['legend'] dataObject = sel['dataobject'] info = dataObject.info data = dataObject.y[0] if "selectiontype" in dataObject.info: if dataObject.info["selectiontype"] != "1D": continue curveinfo=copy.deepcopy(info) curveinfo["ylabel"] = info.get("ylabel", "Counts") if dataObject.x is None: xhelp = None else: xhelp = dataObject.x[0] if xhelp is None: if 'Channel0' not in info: info['Channel0'] = 0.0 xhelp =info['Channel0'] + numpy.arange(len(data)).astype(numpy.float) dataObject.x = [xhelp] ylen = len(data) if ylen == 1: if len(xhelp) > 1: data = data[0] * numpy.ones(len(xhelp)).astype(numpy.float) dataObject.y = [data] elif len(xhelp) == 1: xhelp = xhelp[0] * numpy.ones(ylen).astype(numpy.float) dataObject.x = [xhelp] if not hasattr(dataObject, 'm'): dataObject.m = None if dataObject.m is not None: if len(dataObject.m[0]) > 0: mdata = dataObject.m[0] if len(mdata) == len(data): mdata[data == 0] += 0.00000001 index = numpy.nonzero(mdata)[0] if not len(index): continue xhelp = numpy.take(xhelp, index) data = numpy.take(data, index) mdata = numpy.take(mdata, index) data = data/mdata dataObject.x = [xhelp * 1] dataObject.m = [numpy.ones(len(data)).astype(numpy.float)] elif (len(mdata) == 1) or (ylen == 1): if mdata[0] == 0.0: continue data = data/mdata else: raise ValueError("Cannot normalize data") dataObject.y = [data] self.dataObjectsDict[legend] = dataObject if ('baseline' in info) and ('regions' in info): simplefitplot = True else: simplefitplot = False try: calib = [0.0,1.0,0.0] for inputkey in ['baseline', 'regions', 'McaLiveTime']: if inputkey in info: curveinfo[inputkey] = info[inputkey] curveinfo['McaCalib'] = calib if 'McaCalib' in info: if type(info['McaCalib'][0]) == type([]): calib0 = info['McaCalib'][info['McaDet']-1] else: calib0 = info['McaCalib'] if 'McaCalibSource' in info: curveinfo['McaCalibSource'] = info['McaCalibSource'] else: curveinfo['McaCalibSource'] = calib0 if self.calibration == self.calboxoptions[1]: if 'McaCalibSource' in curveinfo: calib = curveinfo['McaCalibSource'] elif 'McaCalib' in info: if type(info['McaCalib'][0]) == type([]): calib = info['McaCalib'][info['McaDet']-1] else: calib = info['McaCalib'] if len(calib) > 1: xdata=calib[0]+ \ calib[1]* xhelp if len(calib) == 3: xdata = xdata + calib[2]* xhelp * xhelp curveinfo['McaCalib'] = calib if simplefitplot: inforegions = [] for region in info['regions']: inforegions.append([calib[0] + \ calib[1] * region[0] +\ calib[2] * region[0] * region[0], calib[0] + \ calib[1] * region[1] +\ calib[2] * region[1] * region[1]]) self.addCurve(xdata, data, legend=legend, info=curveinfo, own=True) else: self.addCurve(xdata, data, legend=legend, info=curveinfo, own=True) self.setGraphXLabel('Energy') elif self.calibration == self.calboxoptions[2]: calibrationOrder = None if legend in self.caldict: A = self.caldict[legend]['A'] B = self.caldict[legend]['B'] C = self.caldict[legend]['C'] calibrationOrder = self.caldict[legend]['order'] calib = [A,B,C] elif 'McaCalib' in info: if type(info['McaCalib'][0]) == type([]): calib = info['McaCalib'][info['McaDet']-1] else: calib = info['McaCalib'] if len(calib) > 1: xdata=calib[0]+ \ calib[1]* xhelp if len(calib) == 3: if calibrationOrder == 'TOF': xdata = calib[2] + calib[0] / pow(xhelp-calib[1],2) else: xdata = xdata + calib[2]* xhelp * xhelp curveinfo['McaCalib'] = calib curveinfo['McaCalibOrder'] = calibrationOrder if simplefitplot: inforegions = [] for region in info['regions']: if calibrationOrder == 'TOF': inforegions.append([calib[2] + calib[0] / pow(region[0]-calib[1],2), calib[2] + calib[0] / pow(region[1]-calib[1],2)]) else: inforegions.append([calib[0] + \ calib[1] * region[0] +\ calib[2] * region[0] * region[0], calib[0] + \ calib[1] * region[1] +\ calib[2] * region[1] * region[1]]) self.addCurve(xdata, data, legend=legend, info=curveinfo, own=True) else: self.addCurve(xdata, data, legend=legend, info=curveinfo, own=True) if calibrationOrder == 'ID18': self.setGraphXLabel('Time') else: self.setGraphXLabel('Energy') elif self.calibration == 'Fit': print("Not yet implemented") continue elif self.calibration in self.caldict.keys(): A = self.caldict[self.calibration]['A'] B = self.caldict[self.calibration]['B'] C = self.caldict[self.calibration]['C'] calibrationOrder = self.caldict[self.calibration]['order'] calib = [A,B,C] if calibrationOrder == 'TOF': xdata = C + (A / ((xhelp - B) * (xhelp - B))) else: xdata=calib[0]+ \ calib[1]* xhelp + \ calib[2]* xhelp * xhelp curveinfo['McaCalib'] = calib curveinfo['McaCalibOrder'] = calibrationOrder if simplefitplot: inforegions = [] for region in info['regions']: if calibrationOrder == 'TOF': inforegions.append([calib[2] + calib[0] / pow(region[0]-calib[1],2), calib[2] + calib[0] / pow(region[1]-calib[1],2)]) else: inforegions.append([calib[0] + \ calib[1] * region[0] +\ calib[2] * region[0] * region[0], calib[0] + \ calib[1] * region[1] +\ calib[2] * region[1] * region[1]]) self.addCurve(xdata, data, legend=legend, info=curveinfo, own=True) #baseline = info['baseline'], #regions = inforegions) else: self.addCurve(xdata, data, legend=legend, info=curveinfo, own=True) if calibrationOrder == 'ID18': self.setGraphXLabel('Time') else: self.setGraphXLabel('Energy') else: if simplefitplot: self.addCurve(xhelp, data, legend=legend, info=curveinfo, own=True) #baseline = info['baseline'], #regions = info['regions']) else: self.addCurve(xhelp, data, legend=legend, info=curveinfo, own=True) self.setGraphXLabel('Channel') except: del self.dataObjectsDict[legend] raise if replot: #self.replot() self.resetZoom() self.updateLegends() def _removeSelection(self, selectionlist): if DEBUG: print("_removeSelection(self, selectionlist)",selectionlist) if type(selectionlist) == type([]): sellist = selectionlist else: sellist = [selectionlist] legendlist = [] for sel in sellist: key = sel['Key'] if "scanselection" in sel: if sel['scanselection'] not in [False, "MCA"]: continue mcakeys = [key] for mca in mcakeys: legend = sel['legend'] legendlist.append(legend) self.removeCurves(legendlist, replot=True) def removeCurves(self, removelist, replot=True): for legend in removelist: self.removeCurve(legend, replot=False) if replot: self.replot() def removeCurve(self, legend, replot=True): super(McaWindow, self).removeCurve(legend, replot=False) if legend in self.dataObjectsDict.keys(): del self.dataObjectsDict[legend] self.dataObjectsList = self._curveList if replot: self.replot() def _replaceSelection(self, selectionlist): if DEBUG: print("_replaceSelection(self, selectionlist)",selectionlist) if type(selectionlist) == type([]): sellist = selectionlist else: sellist = [selectionlist] doit = False for sel in sellist: if "scanselection" in sel: if sel['scanselection'] not in [False, "MCA"]: continue doit = True break if not doit: return self.clearCurves() self.dataObjectsDict={} self.dataObjectsList=self._curveList self._addSelection(selectionlist) def graphCallback(self, ddict): if DEBUG: print("McaWindow._graphCallback", ddict) if ddict['event'] in ['markerMoved', 'markerSelected']: return self._handleMarkerEvent(ddict) elif ddict['event'] in ["mouseMoved", "MouseAt"]: if self.calibration == self.calboxoptions[0]: self._xPos.setText('%.2f' % ddict['x']) self._yPos.setText('%.2f' % ddict['y']) else: self._xPos.setText('%.4f' % ddict['x']) self._yPos.setText('%.2f' % ddict['y']) elif ddict['event'] in ["curveClicked", "legendClicked"]: legend = ddict.get('legend', None) legend = ddict.get('label', legend) if legend is None: if len(self.dataObjectsList): legend = self.dataObjectsList[0] else: return self.setActiveCurve(legend) elif ddict['event'] == "renameCurveEvent": legend = ddict['legend'] newlegend = ddict['newlegend'] if legend in self.dataObjectsDict: self.dataObjectsDict[newlegend]= copy.deepcopy(\ self.dataObjectsDict[legend]) self.dataObjectsDict[newlegend].info['legend'] = newlegend self.removeCurve(legend) self.addCurve(self.dataObjectsDict[newlegend].x[0], self.dataObjectsDict[newlegend].y[0], legend=newlegend, info=self.dataObjectsDict[newlegend].info['legend'], own=True, replot=False) if legend in self.caldict: self.caldict[newlegend] = copy.deepcopy(self.caldict[legend]) del self.dataObjectsDict[legend] self.replot() else: super(McaWindow, self).graphCallback(ddict) return self.sigPlotSignal.emit(ddict) def setActiveCurve(self, legend=None): if legend is None: legend = self.getActiveCurve(just_legend=True) if legend is None: self.controlWidget.calinfo.AText.setText("?????") self.controlWidget.calinfo.BText.setText("?????") self.controlWidget.calinfo.CText.setText("?????") return if legend in self.dataObjectsDict.keys(): x0 = self.dataObjectsDict[legend].x[0] y = self.dataObjectsDict[legend].y[0] #those are the actual data if str(self.getGraphXLabel()).upper() != "CHANNEL": #I have to get the energy A = self.controlWidget.calinfo.caldict['']['A'] B = self.controlWidget.calinfo.caldict['']['B'] C = self.controlWidget.calinfo.caldict['']['C'] order = self.controlWidget.calinfo.caldict['']['order'] else: A = 0.0 B = 1.0 C = 0.0 order = 1 calib = [A,B,C] if order == "TOF": x = calib[2] + calib[0] / pow(x0-calib[1],2) else: x = calib[0]+ \ calib[1]* x0 + \ calib[2]* x0 * x0 else: print("Received legend = ", legend) print("legends recognized = ", self.dataObjectsDict.keys()) print("Should not be here") return try: info = self.getCurve(legend)[3] calib = info['McaCalib'] self.controlWidget.calinfo.setParameters({'A':calib[0], 'B':calib[1], 'C':calib[2]}) except KeyError: self.controlWidget.calinfo.AText.setText("?????") self.controlWidget.calinfo.BText.setText("?????") self.controlWidget.calinfo.CText.setText("?????") xlabel = self.getGraphXLabel() ylabel = self.getGraphYLabel() super(McaWindow, self).setActiveCurve(legend, replot=False) self.setGraphXLabel(xlabel) self.setGraphYLabel(ylabel) self.replot() def _customFitSignalReceived(self, ddict): if ddict['event'] == "FitFinished": newDataObject = self.__customFitDataObject xplot = ddict['x'] yplot = ddict['yfit'] newDataObject.x = [xplot] newDataObject.y = [yplot] newDataObject.m = [numpy.ones(len(yplot)).astype(numpy.float)] #here I should check the log or linear status self.dataObjectsDict[newDataObject.info['legend']] = newDataObject self.addCurve(xplot, yplot, legend=newDataObject.info['legend'], own=True) def _scanFitSignalReceived(self, ddict): if DEBUG: print("_graphSignalReceived", ddict) if ddict['event'] == "EstimateFinished": return if ddict['event'] == "FitFinished": newDataObject = self.__fitDataObject xplot = self.scanFit.specfit.xdata * 1.0 yplot = self.scanFit.specfit.gendata(parameters=ddict['data']) newDataObject.x = [xplot] newDataObject.y = [yplot] newDataObject.m = [numpy.ones(len(yplot)).astype(numpy.float)] self.dataObjectsDict[newDataObject.info['legend']] = newDataObject self.addCurve(x=xplot, y=yplot, legend=newDataObject.info['legend'], own=True) def _saveIconSignal(self): legend = self.getActiveCurve(just_legend=True) if legend is None: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Please Select an active curve") msg.setWindowTitle('MCA window') msg.exec_() return #get outputfile self.outputDir = PyMcaDirs.outputDir if self.outputDir is None: self.outputDir = os.getcwd() wdir = os.getcwd() elif os.path.exists(self.outputDir): wdir = self.outputDir else: self.outputDir = os.getcwd() wdir = self.outputDir format_list = ['Specfile MCA *.mca', 'Specfile Scan *.dat', 'Raw ASCII *.txt', '";"-separated CSV *.csv', '","-separated CSV *.csv', '"tab"-separated CSV *.csv', 'OMNIC CSV *.csv', 'Widget PNG *.png', 'Widget JPG *.jpg', 'Graphics PNG *.png', 'Graphics EPS *.eps', 'Graphics SVG *.svg'] if self.outputFilter is None: self.outputFilter = format_list[0] fileList, fileFilter = PyMcaFileDialogs.getFileList(self, filetypelist=format_list, message="Output File Selection", currentdir=wdir, single=True, mode="SAVE", getfilter=True, currentfilter=self.outputFilter) if not len(fileList): return self.outputFilter = fileFilter filterused = self.outputFilter.split() filetype = filterused[1] extension = filterused[2] outdir=qt.safe_str(fileList[0]) try: self.outputDir = os.path.dirname(outdir) PyMcaDirs.outputDir = os.path.dirname(outdir) except: self.outputDir = "." try: outputFile = os.path.basename(outdir) except: outputFile = outdir #get active curve x, y, legend, info = self.getActiveCurve() if info is None: return ndict = {} ndict[legend] = {'order':1,'A':0.0,'B':1.0,'C':0.0} if self.getGraphXLabel().upper() == "CHANNEL": if legend in self.caldict: calibrationOrder = self.caldict[legend].get('McaCalibOrder',2) ndict[legend].update(self.caldict[legend]) if abs(ndict[legend]['C']) > 0.0: ndict[legend]['order'] = 2 elif 'McaCalib' in info: calibrationOrder = info.get('McaCalibOrder',2) if type(info['McaCalib'][0]) == type([]): calib = info['McaCalib'][0] else: calib = info['McaCalib'] if len(calib) > 1: ndict[legend]['A'] = calib[0] ndict[legend]['B'] = calib[1] if len(calib) >2: ndict[legend]['order'] = 2 ndict[legend]['C'] = calib[2] elif legend in self.dataObjectsDict: calibrationOrder = self.dataObjectsDict[legend].info.get('McaCalibOrder',2) if 'McaCalib' in self.dataObjectsDict[legend].info: calib = self.dataObjectsDict[legend].info['McaCalib'] ndict[legend]['A'] = calib[0] ndict[legend]['B'] = calib[1] ndict[legend]['C'] = calib[2] calib = [ndict[legend]['A'], ndict[legend]['B'], ndict[legend]['C']] if calibrationOrder == 'TOF': energy = calib[2] + calib[0] / pow(x - calib[1],2) else: energy = calib[0] + calib[1] * x + calib[2] * x * x else: #I have it in energy A = self.controlWidget.calinfo.caldict['']['A'] B = self.controlWidget.calinfo.caldict['']['B'] C = self.controlWidget.calinfo.caldict['']['C'] order = self.controlWidget.calinfo.caldict['']['order'] ndict[legend] = {'order':order,'A':A,'B':B,'C':C} calib = [A, B, C] energy = x * 1 if legend in self.dataObjectsDict.keys(): x0 = self.dataObjectsDict[legend].x[0] if order == 'TOF': x0 = calib[2] + calib[0] / pow(x0 - calib[1], 2) else: x0 = calib[0] + calib[1] * x0 + calib[2] * x0 * x0 if numpy.allclose(energy, x0): x = self.dataObjectsDict[legend].x[0] else: ndict[legend] = {'order':1,'A': 0.0, 'B':1.0, 'C': 1.0} #always overwrite for the time being if not outputFile.endswith(extension[1:]): outputFile += extension[1:] specFile = os.path.join(self.outputDir, outputFile) try: if os.path.exists(specFile): os.remove(specFile) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Input Output Error: %s" % (sys.exc_info()[1])) msg.exec_() return systemline = os.linesep os.linesep = '\n' if filterused[0].upper() == "WIDGET": fformat = specFile[-3:].upper() pixmap = qt.QPixmap.grabWidget(self.getWidgetHandle()) if not pixmap.save(specFile, fformat): qt.QMessageBox.critical(self, "Save Error", "%s" % "I could not save the file\nwith the desired format") return if MATPLOTLIB: try: if specFile[-3:].upper() in ['EPS', 'PNG', 'SVG']: self.graphicsSave(specFile) return except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Save error") msg.setInformativeText("Graphics Saving Error: %s" % \ (sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() return try: if sys.version < "3.0": ffile = open(specFile, 'wb') else: ffile = open(specFile, 'w', newline='') except IOError: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Input Output Error: %s" % (sys.exc_info()[1])) msg.exec_() return systemline = os.linesep os.linesep = '\n' #This was giving problems on legends with a leading b #legend = legend.strip('') #legend = legend.strip('<\b>') try: if filetype == 'Scan': ffile.write("#F %s\n" % specFile) ffile.write("#D %s\n"%(time.ctime(time.time()))) ffile.write("\n") ffile.write("#S 1 %s\n" % legend) ffile.write("#D %s\n"%(time.ctime(time.time()))) ffile.write("#N 3\n") ffile.write("#L channel counts energy\n") for i in range(len(y)): ffile.write("%.7g %.7g %.7g\n" % (x[i], y[i], energy[i])) ffile.write("\n") elif filetype == 'ASCII': for i in range(len(y)): ffile.write("%.7g %.7g %.7g\n" % (x[i], y[i], energy[i])) elif filetype == 'CSV': if "," in filterused[0]: csv = "," elif ";" in filterused[0]: csv = ";" elif "OMNIC" in filterused[0]: csv = "," else: csv = "\t" if "OMNIC" in filterused[0]: for i in range(len(y)): ffile.write("%.7E%s%.7E\n" % \ (energy[i], csv, y[i])) else: ffile.write('"channel"%s"counts"%s"energy"\n' % (csv, csv)) for i in range(len(y)): ffile.write("%.7E%s%.7E%s%.7E\n" % \ (x[i], csv, y[i], csv, energy[i])) else: ffile.write("#F %s\n" % specFile) ffile.write("#D %s\n"%(time.ctime(time.time()))) ffile.write("\n") ffile.write("#S 1 %s\n" % legend) ffile.write("#D %s\n"%(time.ctime(time.time()))) ffile.write("#@MCA %16C\n") ffile.write("#@CHANN %d %d %d 1\n" % (len(y), x[0], x[-1])) ffile.write("#@CALIB %.7g %.7g %.7g\n" % (ndict[legend]['A'], ndict[legend]['B'], ndict[legend]['C'])) ffile.write(self.array2SpecMca(y)) ffile.write("\n") ffile.close() except: os.linesep = systemline raise return def _simpleOperation(self, operation): if operation != "save": return super(McaWindow, self)._simpleOperation(operation) else: return self._saveIconSignal() def getCalibrations(self): return copy.deepcopy(self.caldict) def setCalibrations(self, ddict=None): if ddict is None: ddict = {} self.caldict = ddict item, text = self.controlWidget.calbox.getCurrent() options = [] for option in self.calboxoptions: options.append(option) for key in self.caldict.keys(): if key not in options: options.append(key) try: self.controlWidget.calbox.setOptions(options) except: pass self.controlWidget.calbox.setCurrentIndex(item) self.refresh() #The plugins interface def _toggleLogY(self): if DEBUG: print("McaWindow _toggleLogY") self._ownSignal = True try: super(McaWindow, self)._toggleLogY() finally: self._ownSignal = None def _toggleLogX(self): if DEBUG: print("McaWindow _toggleLogX") self._ownSignal = True try: super(McaWindow, self)._toggleLogX() finally: self._ownSignal = None def getGraphYLimits(self): #if the active curve is mapped to second axis #I should give the second axis limits return super(McaWindow, self).getGraphYLimits() #end of plugins interface def addCurve(self, x, y, legend=None, info=None, replace=False, replot=True, color=None, symbol=None, linestyle=None, xlabel=None, ylabel=None, yaxis=None, xerror=None, yerror=None, own=None, **kw): if legend in self._curveList: if info is None: info = {} oldStuff = self.getCurve(legend) if oldStuff not in [[], None]: oldX, oldY, oldLegend, oldInfo = oldStuff else: oldInfo = {} if color is None: color = info.get("plot_color", oldInfo.get("plot_color", None)) if symbol is None: symbol = info.get("plot_symbol",oldInfo.get("plot_symbol", None)) if linestyle is None: if self._plotLines: linestyle = info.get("plot_linestyle",oldInfo.get("plot_linestyle", None)) if linestyle in [' ', None, '']: linestyle = '-' else: linestyle = ' ' if yaxis is None: yaxis = info.get("plot_yaxis",oldInfo.get("plot_yaxis", None)) if xlabel is None: xlabel = self.getGraphXLabel() if ylabel is None: ylabel = self.getGraphYLabel() if own is None: own = self._ownSignal if own and (legend in self.dataObjectsDict): # The curve is already registered super(McaWindow, self).addCurve(x, y, legend=legend, info=info, replace=replace, replot=replot, color=color, symbol=symbol, linestyle=linestyle, xlabel=xlabel, ylabel=ylabel, yaxis=yaxis, xerror=xerror, yerror=yerror, **kw) else: if legend in self.dataObjectsDict: xChannels, yOrig, infoOrig = self.getDataAndInfoFromLegend(legend) calib = info.get('McaCalib', [0.0, 1.0, 0.0]) calibrationOrder = info.get('McaCalibOrder',2) if calibrationOrder == 'TOF': xFromChannels = calib[2] + calib[0] / pow(xChannels-calib[1], 2) else: xFromChannels = calib[0] + \ calib[1] * xChannels + calib[2] * xChannels * xChannels if numpy.allclose(xFromChannels, x): x = xChannels # create the data object (Is this necessary????) self.newCurve(x, y, legend=legend, info=info, replace=replace, replot=replot, color=color, symbol=symbol, linestyle=linestyle, xlabel=xlabel, ylabel=ylabel, yaxis=yaxis, xerror=xerror, yerror=yerror, **kw) def newCurve(self, x, y, legend=None, info=None, replace=False, replot=True, color=None, symbol=None, linestyle=None, xlabel=None, ylabel=None, yaxis=None, xerror=None, yerror=None, **kw): if info is None: info = {} if legend is None: legend = "Unnamed curve 1.1" # this is awfull but I have no other way to pass the plot information ... if color is not None: info["plot_color"] = color if symbol is not None: info["plot_symbol"] = symbol if linestyle is not None: info["plot_linestyle"] = linestyle if yaxis is None: yaxis = info.get("plot_yaxis", None) if yaxis is not None: info["plot_yaxis"] = yaxis newDataObject = DataObject.DataObject() newDataObject.x = [x] newDataObject.y = [y] newDataObject.m = None newDataObject.info = copy.deepcopy(info) newDataObject.info['legend'] = legend newDataObject.info['SourceName'] = legend newDataObject.info['Key'] = "" newDataObject.info['selectiontype'] = "1D" sel_list = [] sel = {} sel['SourceType'] = "Operation" sel['SourceName'] = legend sel['Key'] = legend sel['legend'] = legend sel['dataobject'] = newDataObject sel['scanselection'] = False sel['selectiontype'] = "1D" sel_list.append(sel) if replace: self._replaceSelection(sel_list) else: self._addSelection(sel_list, replot=replot) def refresh(self): if DEBUG: print(" DANGEROUS REFRESH CALLED") activeCurve = self.getActiveCurve(just_legend=True) # try to keep the same curve order legendList = self.getAllCurves(just_legend=True) dataObjectsKeyList = list(self.dataObjectsDict.keys()) sellist = [] for key in legendList: if key in dataObjectsKeyList: sel ={} sel['SourceName'] = self.dataObjectsDict[key].info['SourceName'] sel['dataobject'] = self.dataObjectsDict[key] sel['legend'] = key sel['Key'] = self.dataObjectsDict[key].info['Key'] sellist.append(sel) for key in dataObjectsKeyList: if key not in legendList: sel ={} sel['SourceName'] = self.dataObjectsDict[key].info['SourceName'] sel['dataobject'] = self.dataObjectsDict[key] sel['legend'] = key sel['Key'] = self.dataObjectsDict[key].info['Key'] sellist.append(sel) self.clearCurves() self._addSelection(sellist) if activeCurve is not None: self.setActiveCurve(activeCurve) self.replot() def renameCurve(self, oldLegend, newLegend, replot=True): xChannels, yOrig, infoOrig = self.getDataAndInfoFromLegend(oldLegend) x, y, legend, info = self.getCurve(oldLegend)[:4] calib = info.get('McaCalib', [0.0, 1.0, 0.0]) calibrationOrder = info.get('McaCalibOrder',2) if calibrationOrder == 'TOF': xFromChannels = calib[2] + calib[0] / pow(xChannels-calib[1], 2) else: xFromChannels = calib[0] + \ calib[1] * xChannels + calib[2] * xChannels * xChannels if numpy.allclose(xFromChannels, x): x = xChannels newInfo = copy.deepcopy(info) newInfo['legend'] = newLegend newInfo['SourceName'] = newLegend newInfo['Key'] = "" newInfo['selectiontype'] = "1D" # create the data object (Is this necessary????) self.removeCurve(oldLegend, replot=False) self.addCurve(x, y, legend=newLegend, info=newInfo, replot=replot) self.updateLegends() def test(): w = McaWindow() x = numpy.arange(1000.) y = 10 * x + 10000. * numpy.exp(-0.5*(x-500)*(x-500)/400) w.addCurve(x, y, legend="dummy", replot=True, replace=True) w.resetZoom() app.lastWindowClosed.connect(app.quit) w.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/PyMcaNexusWidget.py0000644000276300001750000002261313173367502022375 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import posixpath import h5py from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaCore import DataObject from PyMca5.PyMcaGui.io.hdf5 import QNexusWidget from PyMca5.PyMcaGui.pymca import QStackWidget from PyMca5.PyMcaIO import HDF5Stack1D if hasattr(qt, 'QString'): QString = qt.QString else: QString = str DEBUG=0 class PyMcaNexusWidget(QNexusWidget.QNexusWidget): def __init__(self, *var, **kw): QNexusWidget.QNexusWidget.__init__(self, *var, **kw) def itemRightClickedSlot(self, ddict): is_numeric_dset = not (ddict['dtype'].startswith('|S') or ddict['dtype'].startswith('|U') or ddict['dtype'].startswith('|O') or ddict['dtype'] == '') filename = ddict['file'] fileIndex = self.data.sourceName.index(filename) phynxFile = self.data._sourceObjectList[fileIndex] _hdf5WidgetDatasetMenu = qt.QMenu(self) if not is_numeric_dset: # handle a right click on a group or on a dataset of string type _hdf5WidgetDatasetMenu.addAction(QString("Show Information"), self._showInfoWidgetSlot) else: # handle a right click on a numeric dataset _hdf5WidgetDatasetMenu.addAction(QString("Add to selection table"), self._addToSelectionTable) _hdf5WidgetDatasetMenu.addAction(QString("Show Information"), self._showInfoWidgetSlot) info = self.getInfo(phynxFile, ddict['name']) interpretation = info.get('interpretation', "") stack1D = False stack2D = False nDim = len(ddict['shape'].split('x')) if nDim > 1: stack1D = True if nDim == 3: stack2D = True if interpretation.lower() in ['image']: stack1D = False if interpretation.lower() in ['spectrum']: stack2D = False if stack1D: _hdf5WidgetDatasetMenu.addAction(QString("Show as 1D Stack"), self._stack1DSignal) _hdf5WidgetDatasetMenu.addAction(QString("Load and show as 1D Stack"), self._loadStack1DSignal) if stack2D: _hdf5WidgetDatasetMenu.addAction(QString("Show as 2D Stack"), self._stack2DSignal) _hdf5WidgetDatasetMenu.addAction(QString("Load and show as 2D Stack"), self._loadStack2DSignal) self._lastItemDict = ddict _hdf5WidgetDatasetMenu.exec_(qt.QCursor.pos()) self._lastItemDict= None return def _stack1DSignal(self): if DEBUG: print("_stack1DSignal") self._stackSignal(index=-1, load=False) def _loadStack1DSignal(self): if DEBUG: print("_stack1DSignal") self._stackSignal(index=-1, load=True) def _loadStack2DSignal(self): if DEBUG: print("_loadStack2DSignal") self._stackSignal(index=0, load=True) def _stack2DSignal(self, load=False): if DEBUG: print("_stack2DSignal") self._stackSignal(index=0, load=False) def _stackSignal(self, index=-1, load=False): ddict = self._lastItemDict filename = ddict['file'] name = ddict['name'] sel = {} sel['SourceName'] = self.data.sourceName * 1 sel['SourceType'] = "HDF5" fileIndex = self.data.sourceName.index(filename) phynxFile = self.data._sourceObjectList[fileIndex] title = filename + " " + name sel['selection'] = {} sel['selection']['sourcename'] = filename #single dataset selection scanlist = None sel['selection']['x'] = [] sel['selection']['y'] = [name] sel['selection']['m'] = [] sel['selection']['index'] = index self._checkWidgetDict() widget = QStackWidget.QStackWidget() widget.setWindowTitle(title) widget.notifyCloseEventToWidget(self) #different ways to fill the stack if h5py.version.version < '2.0': useInstance = True else: useInstance = False groupName = posixpath.dirname(name) if useInstance: #this crashes with h5py 1.x #this way it is not loaded into memory unless requested #and cannot crash because same instance is used stack = phynxFile[name] else: #create a new instance phynxFile = h5py.File(filename, 'r') stack = phynxFile[name] # try to find out the "energy" axis axesList = [] xData = None try: group = phynxFile[groupName] if 'axes' in stack.attrs.keys(): axes = stack.attrs['axes'] if sys.version > '2.9': try: axes = axes.decode('utf-8') except: print("WARNING: Cannot decode axes") axes = axes.split(":") for axis in axes: if axis in group.keys(): axesList.append(posixpath.join(groupName, axis)) if len(axesList): xData = phynxFile[axesList[index]].value except: # I cannot afford this Nexus specific things # to break the generic HDF5 functionality if DEBUG: raise axesList = [] #the only problem is that, if the shape is not of type (a, b, c), #it will not be possible to reshape it. In that case I have to #actually read the values nDim = len(stack.shape) if (load) or (nDim != 3): stack = stack.value shape = stack.shape if index == 0: #Stack of images n = 1 for dim in shape[:-2]: n = n * dim stack.shape = n, shape[-2], shape[-1] if len(axesList): if xData.size != n: xData = None else: #stack of mca n = 1 for dim in shape[:-1]: n = n * dim if nDim != 3: stack.shape = 1, n, shape[-1] if len(axesList): if xData.size != shape[-1]: xData = None #index equal -1 should be able to handle it #if not, one would have to uncomment next line #index = 2 actualStack = DataObject.DataObject() actualStack.data = stack if xData is not None: actualStack.x = [xData] widget.setStack(actualStack, mcaindex=index) wid = id(widget) self._lastWidgetId = wid self._widgetDict[wid] = widget widget.show() if __name__ == "__main__": try: #this is to add the 3D buttons ... from PyMca5 import Object3D except: #not a big deal for this tests pass app = qt.QApplication(sys.argv) w = PyMcaNexusWidget() if 0: w.setFile(sys.argv[1]) else: from PyMca5.PyMcaCore import NexusDataSource dataSource = NexusDataSource.NexusDataSource(sys.argv[1:]) w.setDataSource(dataSource) def addSelection(sel): print(sel) def removeSelection(sel): print(sel) def replaceSelection(sel): print(sel) w.show() w.sigAddSelection.connect(addSelection) w.sigRemoveSelection.connect(removeSelection) w.sigReplaceSelection.connect(replaceSelection) sys.exit(app.exec_()) PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/StackPluginResultsWindow.py0000644000276300001750000003131413136054446024170 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import numpy from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, "QString"): QString = qt.QString else: QString = str from PyMca5.PyMcaGui.plotting.PyMca_Icons import IconDict from PyMca5.PyMcaGui.plotting import MaskImageWidget from PyMca5.PyMcaGui.plotting import ScatterPlotCorrelatorWidget from PyMca5.PyMcaGui.pymca import ScanWindow class StackPluginResultsWindow(MaskImageWidget.MaskImageWidget): def __init__(self, *var, **kw): ddict = {} ddict['usetab'] = kw.get("usetab",True) ddict['aspect'] = kw.get("aspect",True) ddict['profileselection'] = kw.get("profileselection",True) ddict.update(kw) ddict['standalonesave'] = False MaskImageWidget.MaskImageWidget.__init__(self, *var, **ddict) self.slider = qt.QSlider(self) self.slider.setOrientation(qt.Qt.Horizontal) self.slider.setMinimum(0) self.slider.setMaximum(0) if ddict['usetab']: # The 1D graph self.spectrumGraph = ScanWindow.ScanWindow(self) self.mainTab.addTab(self.spectrumGraph, "VECTORS") self.mainLayout.addWidget(self.slider) self.slider.valueChanged[int].connect(self._showImage) self.imageList = None self.spectrumList = None self.spectrumNames = None self.spectrumGraphTitles = None standalonesave = kw.get("standalonesave", True) if standalonesave: self.graphWidget.saveToolButton.clicked.connect(\ self._saveToolButtonSignal) self._saveMenu = qt.QMenu() self._saveMenu.addAction(QString("Image Data"), self.saveImageList) self._saveMenu.addAction(QString("Standard Graphics"), self.graphWidget._saveIconSignal) self._saveMenu.addAction(QString("Matplotlib") , self._saveMatplotlibImage) self.multiplyIcon = qt.QIcon(qt.QPixmap(IconDict["swapsign"])) infotext = "Multiply image by -1" self.multiplyButton = self.graphWidget._addToolButton(\ self.multiplyIcon, self._multiplyIconChecked, infotext, toggle = False, position = 12) # The density plot widget self.__scatterPlotWidgetDataToUpdate = True self.scatterPlotWidget = ScatterPlotCorrelatorWidget.ScatterPlotCorrelatorWidget(None, labels=["Legend", "X", "Y"], types=["Text", "RadioButton", "RadioButton"], maxNRois=1) self.__scatterPlotWidgetDataToUpdate = True self.__maskToScatterConnected = True self.sigMaskImageWidgetSignal.connect(self._internalSlot) self.scatterPlotWidget.sigMaskScatterWidgetSignal.connect( \ self._internalSlot) # add the command to show it to the menu self.additionalSelectionMenu().addAction(QString("Show scatter plot"), self.showScatterPlot) def sizeHint(self): return qt.QSize(400, 400) def _multiplyIconChecked(self): if self.imageList is None: return index = self.slider.value() self.imageList[index] *= -1 if self.spectrumList is not None: self.spectrumList[index] *= -1 self._showImage(index) # scatter plot related self.__scatterPlotWidgetDataToUpdate = True self._updateScatterPlotWidget() def _showImage(self, index): if len(self.imageList): self.showImage(index, moveslider=False) if self.spectrumList is not None: legend = self.spectrumNames[index] x = self.xValues[index] y = self.spectrumList[index] self.spectrumGraph.addCurve(x, y, legend, replace=True) if self.spectrumGraphTitles is not None: self.spectrumGraph.setGraphTitle(self.spectrumGraphTitles[index]) def buildAndConnectImageButtonBox(self, replace=True, multiple=False): super(StackPluginResultsWindow, self).\ buildAndConnectImageButtonBox(replace=replace, multiple=multiple) def showImage(self, index=0, moveslider=True): if self.imageList is None: return if len(self.imageList) == 0: return # first the title to update any related selection curve legend self.graphWidget.graph.setGraphTitle(self.imageNames[index]) self.setImageData(self.imageList[index]) if moveslider: self.slider.setValue(index) def setStackPluginResults(self, images, spectra=None, image_names = None, spectra_names = None, xvalues=None, spectra_titles=None): self.spectrumList = spectra if type(images) == type([]): self.imageList = images if image_names is None: self.imageNames = [] for i in range(nimages): self.imageNames.append("Image %02d" % i) else: self.imageNames = image_names elif len(images.shape) == 3: nimages = images.shape[0] self.imageList = [0] * nimages for i in range(nimages): self.imageList[i] = images[i,:] if 0: #leave the data as they originally come if self.imageList[i].max() < 0: self.imageList[i] *= -1 if self.spectrumList is not None: self.spectrumList [i] *= -1 if image_names is None: self.imageNames = [] for i in range(nimages): self.imageNames.append("Image %02d" % i) else: self.imageNames = image_names if self.imageList is not None: self.slider.setMaximum(len(self.imageList)-1) self.showImage(0) else: self.slider.setMaximum(0) if self.spectrumList is not None: if spectra_names is None: self.spectrumNames = [] for i in range(nimages): self.spectrumNames.append("Spectrum %02d" % i) else: self.spectrumNames = spectra_names if xvalues is None: self.xValues = [] for i in range(nimages): self.xValues.append(numpy.arange(len(self.spectrumList[0]))) else: self.xValues = xvalues self.spectrumGraphTitles = spectra_titles legend = self.spectrumNames[0] x = self.xValues[0] y = self.spectrumList[0] self.spectrumGraph.addCurve(x, y, legend, replace=True) if self.spectrumGraphTitles is not None: self.spectrumGraph.setGraphTitle(self.spectrumGraphTitles[0]) self.slider.setValue(0) # scatter plot related self.__scatterPlotWidgetDataToUpdate = True self._updateScatterPlotWidget() def _updateScatterPlotWidget(self): w = self.scatterPlotWidget if self.__scatterPlotWidgetDataToUpdate: for i in range(len(self.imageNames)): w.addSelectableItem(self.imageList[i], self.imageNames[i]) self.__scatterPlotWidgetDataToUpdate = False w.setPolygonSelectionMode() w.setSelectionMask(self.getSelectionMask()) def _internalSlot(self, ddict): if ddict["id"] == id(self): # signal generated by this instance # only the the scatter plot to be updated unless hidden if self.scatterPlotWidget.isHidden(): return if ddict["event"] in ["selectionMaskChanged", "resetSelection", "invertSelection"]: mask = self.getSelectionMask() if mask is None: mask = numpy.zeros(self.imageList[0].shape, numpy.uint8) self.scatterPlotWidget.setSelectionMask(mask) elif ddict["id"] == id(self.scatterPlotWidget): # signal generated by the scatter plot if ddict["event"] in ["selectionMaskChanged", "resetSelection", "invertSelection"]: mask = self.scatterPlotWidget.getSelectionMask() super(StackPluginResultsWindow, self).setSelectionMask(mask, plot=True) ddict["id"] = id(self) try: self.__maskToScatterConnected = False self.sigMaskImageWidgetSignal.emit(ddict) finally: self.__maskToScatterConnected = True def setSelectionMask(self, *var, **kw): super(StackPluginResultsWindow, self).setSelectionMask(*var, **kw) if not self.scatterPlotWidget.isHidden(): self._updateScatterPlotWidget() def showScatterPlot(self): if self.scatterPlotWidget.isHidden(): # it needs update self._updateScatterPlotWidget() self.scatterPlotWidget.show() def saveImageList(self, filename=None, imagelist=None, labels=None): if self.imageList is None: return labels = [] for i in range(len(self.imageList)): labels.append(self.imageNames[i].replace(" ","_")) return MaskImageWidget.MaskImageWidget.saveImageList(self, imagelist=self.imageList, labels=labels) def setImageList(self, imagelist): self.imageList = imagelist self.spectrumList = None if imagelist is not None: self.slider.setMaximum(len(self.imageList)-1) self.showImage(0) def _addAllImageClicked(self): ddict = {} ddict['event'] = "addAllClicked" ddict['images'] = self.imageList ddict['titles'] = self.imageNames ddict['id'] = id(self) self.emitMaskImageSignal(ddict) def test(): app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) container = StackPluginResultsWindow() data = numpy.arange(20000) data.shape = 2, 100, 100 data[1, 0:100,0:50] = 100 container.setStackPluginResults(data, spectra=[numpy.arange(100.), numpy.arange(100.)+10], image_names=["I1", "I2"], spectra_names=["V1", "V2"]) container.show() def theSlot(ddict): print(ddict['event']) container.sigMaskImageWidgetSignal.connect(theSlot) app.exec_() if __name__ == "__main__": import numpy test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/QSource.py0000644000276300001750000001552213136054446020556 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() DEBUG = 0 SOURCE_EVENT = qt.QEvent.User class SourceEvent(qt.QEvent): def __init__(self, ddict=None): if ddict is None: ddict = {} self.dict = ddict qt.QEvent.__init__(self, SOURCE_EVENT) import time try: import thread except ImportError: import _thread as thread import weakref class QSource(qt.QObject): sigUpdated = qt.pyqtSignal(object) def __init__(self): qt.QObject.__init__(self, None) #no parent self.surveyDict = {} self.selections = {} self._pollTime = 0.7 #700 ms self.pollerThreadId = None def setPollTime(self, pollTime): """Set polling time (in milliseconds)""" self._pollTime = max(pollTime * 0.001, 0.001) return self._pollTime * 1000 def getPollTime(self): return self._pollTime * 1000 def addToPoller(self, dataObject): """Set polling for data object""" sourceName = dataObject.info['SourceName'] if sourceName != self.sourceName: raise KeyError("Trying to survey key %s on wrong source %s" % (self.sourceName,dataObject.info['SourceName'])) #that is general to any source key = dataObject.info['Key'] reference = id(dataObject) def dataObjectDestroyed(ref, dataObjectKey=key, dataObjectRef=reference): if DEBUG: print('data object destroyed, key was %s' % dataObjectKey) print('data object destroyed, ref was 0x%x' % dataObjectRef) print("self.surveyDict[key] = ",self.surveyDict[key]) n = len(self.surveyDict[dataObjectKey]) if n > 0: n = list(range(n)) n.reverse() for i in n: if not len(dir(self.surveyDict[dataObjectKey][i])): del self.surveyDict[dataObjectKey][i] if len(self.surveyDict[dataObjectKey]) == 0: del self.surveyDict[dataObjectKey] if DEBUG: print("SURVEY DICT AFTER DELETION = ", self.surveyDict) return # create a weak reference to the dataObject and we call it dataObjectRef dataObjectRef=weakref.proxy(dataObject, dataObjectDestroyed) try: if dataObjectRef not in self.surveyDict[key]: self.surveyDict[key].append(dataObjectRef) self.selections[key].append((id(dataObjectRef), dataObjectRef.info)) except KeyError: self.surveyDict[key] = [dataObjectRef] self.selections[key] = [(id(dataObjectRef), dataObjectRef.info)] except ReferenceError: if DEBUG: print("NOT ADDED TO THE POLL dataObject = ", dataObject) return if DEBUG: print("SURVEY DICT AFTER ADDITION = ", self.surveyDict) if self.pollerThreadId is None: # start a new polling thread #print "starting new thread" self.pollerThreadId = thread.start_new_thread(self.__run, ()) def __run(self): #print "RUN" while len(self.surveyDict) > 0: #for key in self.surveyDict is dangerous # runtime error: dictionnary changed during iteration # a mutex is needed if DEBUG: print("In loop") dummy = list(self.surveyDict.keys()) eventsToPost = {} #for key in self.surveyDict: for key in dummy: if key not in eventsToPost: eventsToPost[key] = [] if self.isUpdated(self.sourceName, key): if DEBUG: print(self.sourceName,key,"is updated") try: if len(self.surveyDict[key]): #there are still instances of dataObjects event = SourceEvent() event.dict['Key'] = key event.dict['event'] = 'updated' event.dict['id'] = self.surveyDict[key] scanselection = False if 'scanselection' in self.surveyDict[key][0].info: scanselection = \ self.surveyDict[key][0].info['scanselection'] if (key == 'SCAN_D') or scanselection: event.dict['scanselection'] = True else: event.dict['scanselection'] = False eventsToPost[key].append(event) else: del self.surveyDict[key] del self.selections[key] except KeyError: if DEBUG: print("key error in loop") pass for key in eventsToPost: for event in eventsToPost[key]: qt.QApplication.postEvent(self, event) qt.QApplication.instance().processEvents() time.sleep(self._pollTime) if DEBUG: print("woke up") self.pollerThreadId = None self.selections = {} PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/PyMcaPostBatch.py0000644000276300001750000001406613136054446022020 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os from PyMca5 import PyMcaDirs from PyMca5.PyMcaGui import PyMcaFileDialogs from PyMca5.PyMcaGui import RGBCorrelator from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, "QString"): QString = qt.QString QStringList = qt.QStringList else: QString = qt.safe_str QStringList = list QTVERSION = qt.qVersion() class PyMcaPostBatch(RGBCorrelator.RGBCorrelator): def addBatchDatFile(self, filename, ignoresigma=None): #test if filename is an EDF ... #this is a more complete test #but it would rewire to import too many things #import QDataSource #sourceType = QDataSource.getSourceType(filename) #if sourceType.upper().startswith("EDFFILE"): # return self.addFileList([filename]) f = open(filename, 'rb') twoBytes = f.read(2) f.close() if sys.version < '3.0': twoChar = twoBytes else: try: twoChar = twoBytes.decode('utf-8') except: twoChar = "__dummy__" if twoChar in ["II", "MM", "\n{"] or\ twoChar[0] in ["{"] or\ filename.lower().endswith('cbf')or\ (filename.lower().endswith('spe') and twoChar[0] not in ['$']): #very likely wrapped as EDF return self.addFileList([filename]) text = qt.safe_str(self.windowTitle()) text += ": " + qt.safe_str(os.path.basename(filename)) self.setWindowTitle(text) if len(filename) > 4: if filename[-4:] == ".csv": csv = True else: csv = False self.controller.addBatchDatFile(filename, ignoresigma, csv=csv) def addFileList(self, filelist): """ Expected to work just with EDF files """ text = qt.safe_str(self.windowTitle()) if len(filelist) == 1: text += ": " + qt.safe_str(os.path.basename(filelist[0])) else: text += ": from " + qt.safe_str(os.path.basename(filelist[0])) + \ " to " + qt.safe_str(os.path.basename(filelist[-1])) self.setWindowTitle(text) self.controller.addFileList(filelist) def _getStackOfFiles(self): wdir = PyMcaDirs.inputDir fileTypeList = ["Batch Result Files (*dat)", "EDF Files (*edf)", "EDF Files (*ccd)", "TIFF Files (*tif *tiff *TIF *TIFF)", "Image Files (* jpg *jpeg *tif *tiff *png)", "All Files (*)"] message = "Open ONE Batch result file or SEVERAL EDF files" filelist = PyMcaFileDialogs.getFileList(parent=self, filetypelist=fileTypeList, message=message, currentdir=wdir, mode="OPEN", single=False) if not len(filelist): return [] PyMcaDirs.inputDir = os.path.dirname(filelist[0]) return filelist def test(): sys.excepthook = qt.exceptionHandler app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) import getopt options='' longoptions=["nativefiledialogs=","transpose=", "fileindex="] opts, args = getopt.getopt( sys.argv[1:], options, longoptions) transpose=False for opt,arg in opts: if opt in '--nativefiledialogs': if int(arg): PyMcaDirs.nativeFileDialogs=True else: PyMcaDirs.nativeFileDialogs=False elif opt in '--transpose': if int(arg): transpose=True elif opt in '--fileindex': if int(arg): transpose=True filelist=args w = PyMcaPostBatch() w.layout().setContentsMargins(11, 11, 11, 11) if not len(filelist): filelist = w._getStackOfFiles() if not len(filelist): print("Usage:") print("python PyMcaPostBatch.py PyMCA_BATCH_RESULT_DOT_DAT_FILE") sys.exit(app.quit()) if len(filelist) == 1: if filelist[0].lower().endswith("dat"): try: w.addBatchDatFile(filelist[0]) except ValueError: w.addFileList(filelist) else: w.addFileList(filelist) else: w.addFileList(filelist) if transpose: w.transposeImages() w.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/ScanWindow.py0000644000276300001750000020426713173367502021260 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy #from numpy import argsort, nonzero, take import time import traceback from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, 'QString'): QString = qt.QString else: QString = qt.safe_str if __name__ == "__main__": app = qt.QApplication([]) from PyMca5.PyMcaGui.io import PyMcaFileDialogs from PyMca5.PyMcaGui.plotting import PlotWindow from . import ScanFit from PyMca5.PyMcaMath import SimpleMath from PyMca5.PyMcaCore import DataObject import copy from PyMca5.PyMcaGui import PyMcaPrintPreview from PyMca5.PyMcaCore import PyMcaDirs from . import ScanWindowInfoWidget #implement the plugins interface from PyMca5.PyMcaGui import QPyMcaMatplotlibSave1D MATPLOTLIB = True #force understanding of utf-8 encoding #otherways it cannot generate svg output try: import encodings.utf_8 except: #not a big problem pass PLUGINS_DIR = None try: import PyMca5 if os.path.exists(os.path.join(os.path.dirname(PyMca5.__file__), "PyMcaPlugins")): from PyMca5 import PyMcaPlugins PLUGINS_DIR = os.path.dirname(PyMcaPlugins.__file__) else: directory = os.path.dirname(__file__) while True: if os.path.exists(os.path.join(directory, "PyMcaPlugins")): PLUGINS_DIR = os.path.join(directory, "PyMcaPlugins") break directory = os.path.dirname(directory) if len(directory) < 5: break userPluginsDirectory = PyMca5.getDefaultUserPluginsDirectory() if userPluginsDirectory is not None: if PLUGINS_DIR is None: PLUGINS_DIR = userPluginsDirectory else: PLUGINS_DIR = [PLUGINS_DIR, userPluginsDirectory] except: pass DEBUG = 0 class ScanWindow(PlotWindow.PlotWindow): def __init__(self, parent=None, name="Scan Window", specfit=None, backend=None, plugins=True, newplot=True, roi=True, fit=True, control=True, position=True, info=False, **kw): super(ScanWindow, self).__init__(parent, newplot=newplot, plugins=plugins, backend=backend, roi=roi, fit=fit, control=control, position=position, **kw) self.setDataMargins(0, 0, 0.025, 0.025) #self._togglePointsSignal() self.setPanWithArrowKeys(True) self.setWindowType("SCAN") # this two objects are the same self.dataObjectsList = self._curveList # but this is tricky self.dataObjectsDict = {} self.setWindowTitle(name) self.matplotlibDialog = None if PLUGINS_DIR is not None: if type(PLUGINS_DIR) == type([]): pluginDir = PLUGINS_DIR else: pluginDir = [PLUGINS_DIR] self.getPlugins(method="getPlugin1DInstance", directoryList=pluginDir) if info: self.scanWindowInfoWidget = ScanWindowInfoWidget.\ ScanWindowInfoWidget() self.infoDockWidget = qt.QDockWidget(self) self.infoDockWidget.layout().setContentsMargins(0, 0, 0, 0) self.infoDockWidget.setWidget(self.scanWindowInfoWidget) self.infoDockWidget.setWindowTitle(self.windowTitle()+(" Info")) self.addDockWidget(qt.Qt.BottomDockWidgetArea, self.infoDockWidget) controlMenu = qt.QMenu() controlMenu.addAction(QString("Show/Hide Legends"), self.toggleLegendWidget) controlMenu.addAction(QString("Show/Hide Info"), self._toggleInfoWidget) controlMenu.addAction(QString("Toggle Crosshair"), self.toggleCrosshairCursor) controlMenu.addAction(QString("Toggle Arrow Keys Panning"), self.toggleArrowKeysPanning) self.setControlMenu(controlMenu) else: self.scanWindowInfoWidget = None #self.fig = None if fit: self.scanFit = ScanFit.ScanFit(specfit=specfit) self.printPreview = PyMcaPrintPreview.PyMcaPrintPreview(modal = 0) self.simpleMath = SimpleMath.SimpleMath() self.outputDir = None self.outputFilter = None #signals # this one was made in the base class #self.setCallback(self.graphCallback) if fit: from PyMca5.PyMcaGui.math.fitting import SimpleFitGui self.customFit = SimpleFitGui.SimpleFitGui() self.scanFit.sigScanFitSignal.connect(self._scanFitSignalReceived) self.customFit.sigSimpleFitSignal.connect( \ self._customFitSignalReceived) self.fitButtonMenu = qt.QMenu() self.fitButtonMenu.addAction(QString("Simple Fit"), self._simpleFitSignal) self.fitButtonMenu.addAction(QString("Customized Fit") , self._customFitSignal) def _toggleInfoWidget(self): if self.infoDockWidget.isHidden(): self.infoDockWidget.show() legend = self.getActiveCurve(just_legend=True) if legend is not None: ddict ={} ddict['event'] = "curveClicked" ddict['label'] = legend ddict['legend'] = legend self.graphCallback(ddict) else: self.infoDockWidget.hide() def _buildLegendWidget(self): if self.legendWidget is None: super(ScanWindow, self)._buildLegendWidget() if hasattr(self, "infoDockWidget") and \ hasattr(self, "roiDockWidget"): self.tabifyDockWidget(self.infoDockWidget, self.roiDockWidget, self.legendDockWidget) elif hasattr(self, "infoDockWidget"): self.tabifyDockWidget(self.infoDockWidget, self.legendDockWidget) def _toggleROI(self, position=None): super(ScanWindow, self)._toggleROI(position=position) if hasattr(self, "infoDockWidget"): self.tabifyDockWidget(self.infoDockWidget, self.roiDockWidget) def setDispatcher(self, w): w.sigAddSelection.connect(self._addSelection) w.sigRemoveSelection.connect(self._removeSelection) w.sigReplaceSelection.connect(self._replaceSelection) def _addSelection(self, selectionlist, replot=True): if DEBUG: print("_addSelection(self, selectionlist)",selectionlist) if type(selectionlist) == type([]): sellist = selectionlist else: sellist = [selectionlist] if len(self._curveList): activeCurve = self.getActiveCurve(just_legend=True) else: activeCurve = None nSelection = len(sellist) for selectionIndex in range(nSelection): sel = sellist[selectionIndex] if selectionIndex == (nSelection - 1): actualReplot = replot else: actualReplot = False source = sel['SourceName'] key = sel['Key'] legend = sel['legend'] #expected form sourcename + scan key if not ("scanselection" in sel): continue if sel['scanselection'] == "MCA": continue if not sel["scanselection"]:continue if len(key.split(".")) > 2: continue dataObject = sel['dataobject'] #only one-dimensional selections considered if dataObject.info["selectiontype"] != "1D": continue #there must be something to plot if not hasattr(dataObject, 'y'): continue if not hasattr(dataObject, 'x'): ylen = len(dataObject.y[0]) if ylen: xdata = numpy.arange(ylen).astype(numpy.float) else: #nothing to be plot continue if dataObject.x is None: ylen = len(dataObject.y[0]) if ylen: xdata = numpy.arange(ylen).astype(numpy.float) else: #nothing to be plot continue elif len(dataObject.x) > 1: if DEBUG: print("Mesh plots") continue else: xdata = dataObject.x[0] sps_source = False if 'SourceType' in sel: if sel['SourceType'] == 'SPS': sps_source = True if sps_source: ycounter = -1 if 'selection' not in dataObject.info: dataObject.info['selection'] = copy.deepcopy(sel['selection']) for ydata in dataObject.y: xlabel = None ylabel = None ycounter += 1 if dataObject.m is None: mdata = [numpy.ones(len(ydata)).astype(numpy.float)] elif len(dataObject.m[0]) > 0: if len(dataObject.m[0]) == len(ydata): index = numpy.nonzero(dataObject.m[0])[0] if not len(index): continue xdata = numpy.take(xdata, index) ydata = numpy.take(ydata, index) mdata = numpy.take(dataObject.m[0], index) #A priori the graph only knows about plots ydata = ydata/mdata else: raise ValueError("Monitor data length different than counter data") else: mdata = [numpy.ones(len(ydata)).astype(numpy.float)] ylegend = 'y%d' % ycounter if dataObject.info['selection'] is not None: if type(dataObject.info['selection']) == type({}): if 'x' in dataObject.info['selection']: #proper scan selection ilabel = dataObject.info['selection']['y'][ycounter] ylegend = dataObject.info['LabelNames'][ilabel] ylabel = ylegend if sel['selection']['x'] is not None: if len(dataObject.info['selection']['x']): xlabel = dataObject.info['LabelNames'] \ [dataObject.info['selection']['x'][0]] dataObject.info["xlabel"] = xlabel dataObject.info["ylabel"] = ylabel newLegend = legend + " " + ylegend self.dataObjectsDict[newLegend] = dataObject self.addCurve(xdata, ydata, legend=newLegend, info=dataObject.info, xlabel=xlabel, ylabel=ylabel, replot=False) # replot=actualReplot) if self.scanWindowInfoWidget is not None: if not self.infoDockWidget.isHidden(): activeLegend = self.getActiveCurve(just_legend=True) if activeLegend is not None: if activeLegend == newLegend: self.scanWindowInfoWidget.updateFromDataObject\ (dataObject) else: dummyDataObject = DataObject.DataObject() dummyDataObject.y=[numpy.array([])] dummyDataObject.x=[numpy.array([])] self.scanWindowInfoWidget.updateFromDataObject(dummyDataObject) else: #we have to loop for all y values ycounter = -1 for ydata in dataObject.y: ylen = len(ydata) if ylen == 1: if len(xdata) > 1: ydata = ydata[0] * numpy.ones(len(xdata)).astype(numpy.float) elif len(xdata) == 1: xdata = xdata[0] * numpy.ones(ylen).astype(numpy.float) ycounter += 1 newDataObject = DataObject.DataObject() newDataObject.info = copy.deepcopy(dataObject.info) if dataObject.m is None: mdata = numpy.ones(len(ydata)).astype(numpy.float) elif len(dataObject.m[0]) > 0: if len(dataObject.m[0]) == len(ydata): index = numpy.nonzero(dataObject.m[0])[0] if not len(index): continue xdata = numpy.take(xdata, index) ydata = numpy.take(ydata, index) mdata = numpy.take(dataObject.m[0], index) #A priori the graph only knows about plots ydata = ydata/mdata elif len(dataObject.m[0]) == 1: mdata = numpy.ones(len(ydata)).astype(numpy.float) mdata *= dataObject.m[0][0] index = numpy.nonzero(dataObject.m[0])[0] if not len(index): continue xdata = numpy.take(xdata, index) ydata = numpy.take(ydata, index) mdata = numpy.take(dataObject.m[0], index) #A priori the graph only knows about plots ydata = ydata/mdata else: raise ValueError("Monitor data length different than counter data") else: mdata = numpy.ones(len(ydata)).astype(numpy.float) newDataObject.x = [xdata] newDataObject.y = [ydata] newDataObject.m = [mdata] newDataObject.info['selection'] = copy.deepcopy(sel['selection']) ylegend = 'y%d' % ycounter xlabel = None ylabel = None if sel['selection'] is not None: if type(sel['selection']) == type({}): if 'x' in sel['selection']: #proper scan selection newDataObject.info['selection']['x'] = sel['selection']['x'] newDataObject.info['selection']['y'] = [sel['selection']['y'][ycounter]] newDataObject.info['selection']['m'] = sel['selection']['m'] ilabel = newDataObject.info['selection']['y'][0] ylegend = newDataObject.info['LabelNames'][ilabel] ylabel = ylegend if len(newDataObject.info['selection']['x']): ilabel = newDataObject.info['selection']['x'][0] xlabel = newDataObject.info['LabelNames'][ilabel] else: xlabel = "Point number" if ('operations' in dataObject.info) and len(dataObject.y) == 1: newDataObject.info['legend'] = legend symbol = 'x' else: symbol=None newDataObject.info['legend'] = legend + " " + ylegend newDataObject.info['selectionlegend'] = legend yaxis = None if "plot_yaxis" in dataObject.info: yaxis = dataObject.info["plot_yaxis"] elif 'operations' in dataObject.info: if dataObject.info['operations'][-1] == 'derivate': yaxis = 'right' #print("sending legend = ", newDataObject.info['legend'], "replot = ", False) self.dataObjectsDict[newDataObject.info['legend']] = newDataObject self.addCurve(xdata, ydata, legend=newDataObject.info['legend'], info=newDataObject.info, symbol=symbol, yaxis=yaxis, xlabel=xlabel, ylabel=ylabel, replot=False) self.dataObjectsList = self._curveList try: if activeCurve is None: if len(self._curveList) > 0: activeCurve = self._curveList[0] ddict = {} ddict['event'] = "curveClicked" ddict['label'] = activeCurve self.graphCallback(ddict) finally: if replot: #self.replot() self.resetZoom() self.updateLegends() def _removeSelection(self, selectionlist): if DEBUG: print("_removeSelection(self, selectionlist)",selectionlist) if type(selectionlist) == type([]): sellist = selectionlist else: sellist = [selectionlist] removelist = [] for sel in sellist: source = sel['SourceName'] key = sel['Key'] if not ("scanselection" in sel): continue if sel['scanselection'] == "MCA": continue if not sel["scanselection"]:continue if len(key.split(".")) > 2: continue legend = sel['legend'] #expected form sourcename + scan key if type(sel['selection']) == type({}): if 'y' in sel['selection']: for lName in ['cntlist', 'LabelNames']: if lName in sel['selection']: for index in sel['selection']['y']: removelist.append(legend +" "+\ sel['selection'][lName][index]) if len(removelist): self.removeCurves(removelist) def removeCurves(self, removeList, replot=True): for legend in removeList: if legend == removeList[-1]: self.removeCurve(legend, replot=replot) else: self.removeCurve(legend, replot=False) if legend in self.dataObjectsDict: del self.dataObjectsDict[legend] self.dataObjectsList = self._curveList def _replaceSelection(self, selectionlist): if DEBUG: print("_replaceSelection(self, selectionlist)",selectionlist) if type(selectionlist) == type([]): sellist = selectionlist else: sellist = [selectionlist] doit = 0 for sel in sellist: if not ("scanselection" in sel): continue if sel['scanselection'] == "MCA": continue if not sel["scanselection"]:continue if len(sel["Key"].split(".")) > 2: continue dataObject = sel['dataobject'] if dataObject.info["selectiontype"] == "1D": if hasattr(dataObject, 'y'): doit = 1 break if not doit: return self.clearCurves() self.dataObjectsDict={} self.dataObjectsList=self._curveList self._addSelection(selectionlist, replot=True) def _handleMarkerEvent(self, ddict): if ddict['event'] == 'markerMoved': label = ddict['label'] if label.startswith('ROI'): return self._handleROIMarkerEvent(ddict) else: if DEBUG: print("Unhandled marker %s" % label) return def graphCallback(self, ddict): if DEBUG: print("graphCallback", ddict) if ddict['event'] in ['markerMoved', 'markerSelected']: self._handleMarkerEvent(ddict) elif ddict['event'] in ["mouseMoved", "MouseAt"]: if self._toggleCounter > 0: activeCurve = self.getActiveCurve() if activeCurve in [None, []]: self._handleMouseMovedEvent(ddict) else: x, y, legend, info = activeCurve[0:4] # calculate the maximum distance xMin, xMax = self.getGraphXLimits() maxXDistance = abs(xMax - xMin) yMin, yMax = self.getGraphYLimits() maxYDistance = abs(yMax - yMin) if (maxXDistance > 0.0) and (maxYDistance > 0.0): closestIndex = (pow((x - ddict['x'])/maxXDistance, 2) + \ pow((y - ddict['y'])/maxYDistance, 2)) else: closestIndex = (pow(x - ddict['x'], 2) + \ pow(y - ddict['y'], 2)) xText = '----' yText = '----' if len(closestIndex): closestIndex = closestIndex.argmin() xCurve = x[closestIndex] if abs(xCurve - ddict['x']) < (0.05 * maxXDistance): yCurve = y[closestIndex] if abs(yCurve - ddict['y']) < (0.05 * maxYDistance): xText = '%.7g' % xCurve yText = '%.7g' % yCurve if xText == '----': if self.getGraphCursor(): self._xPos.setStyleSheet("color: rgb(255, 0, 0);") self._yPos.setStyleSheet("color: rgb(255, 0, 0);") xText = '%.7g' % ddict['x'] yText = '%.7g' % ddict['y'] else: self._xPos.setStyleSheet("color: rgb(0, 0, 0);") self._yPos.setStyleSheet("color: rgb(0, 0, 0);") else: self._xPos.setStyleSheet("color: rgb(0, 0, 0);") self._yPos.setStyleSheet("color: rgb(0, 0, 0);") self._xPos.setText(xText) self._yPos.setText(yText) else: self._xPos.setStyleSheet("color: rgb(0, 0, 0);") self._yPos.setStyleSheet("color: rgb(0, 0, 0);") self._handleMouseMovedEvent(ddict) elif ddict['event'] in ["curveClicked", "legendClicked"]: legend = ddict["label"] if legend is None: if len(self.dataObjectsList): legend = self.dataObjectsList[0] else: return if legend not in self.dataObjectsList: if DEBUG: print("unknown legend %s" % legend) return #force the current x label to the appropriate value dataObject = self.dataObjectsDict[legend] if 'selection' in dataObject.info: ilabel = dataObject.info['selection']['y'][0] ylabel = dataObject.info['LabelNames'][ilabel] if len(dataObject.info['selection']['x']): ilabel = dataObject.info['selection']['x'][0] xlabel = dataObject.info['LabelNames'][ilabel] else: xlabel = "Point Number" if len(dataObject.info['selection']['m']): ilabel = dataObject.info['selection']['m'][0] ylabel += "/" + dataObject.info['LabelNames'][ilabel] else: xlabel = dataObject.info.get('xlabel', None) ylabel = dataObject.info.get('ylabel', None) if xlabel is not None: self.setGraphXLabel(xlabel) if ylabel is not None: self.setGraphYLabel(ylabel) self.setGraphTitle(legend) self.setActiveCurve(legend) #self.setGraphTitle(legend) if self.scanWindowInfoWidget is not None: if not self.infoDockWidget.isHidden(): self.scanWindowInfoWidget.updateFromDataObject\ (dataObject) elif ddict['event'] == "removeCurveEvent": legend = ddict['legend'] self.removeCurves([legend]) elif ddict['event'] == "renameCurveEvent": legend = ddict['legend'] newlegend = ddict['newlegend'] if legend in self.dataObjectsDict: self.dataObjectsDict[newlegend]= copy.deepcopy(self.dataObjectsDict[legend]) self.dataObjectsDict[newlegend].info['legend'] = newlegend self.dataObjectsList.append(newlegend) self.removeCurves([legend], replot=False) self.newCurve(self.dataObjectsDict[newlegend].x[0], self.dataObjectsDict[newlegend].y[0], legend=self.dataObjectsDict[newlegend].info['legend']) #make sure the plot signal is forwarded because we have overwritten #its handling self.sigPlotSignal.emit(ddict) def _customFitSignalReceived(self, ddict): if ddict['event'] == "FitFinished": newDataObject = self.__customFitDataObject xplot = ddict['x'] yplot = ddict['yfit'] newDataObject.x = [xplot] newDataObject.y = [yplot] newDataObject.m = [numpy.ones(len(yplot)).astype(numpy.float)] #here I should check the log or linear status self.dataObjectsDict[newDataObject.info['legend']] = newDataObject self.addCurve(xplot, yplot, legend=newDataObject.info['legend']) def _scanFitSignalReceived(self, ddict): if DEBUG: print("_scanFitSignalReceived", ddict) if ddict['event'] == "EstimateFinished": return if ddict['event'] == "FitFinished": newDataObject = self.__fitDataObject xplot = self.scanFit.specfit.xdata * 1.0 yplot = self.scanFit.specfit.gendata(parameters=ddict['data']) newDataObject.x = [xplot] newDataObject.y = [yplot] newDataObject.m = [numpy.ones(len(yplot)).astype(numpy.float)] self.dataObjectsDict[newDataObject.info['legend']] = newDataObject self.addCurve(x=xplot, y=yplot, legend=newDataObject.info['legend']) def _fitIconSignal(self): if DEBUG: print("_fitIconSignal") self.fitButtonMenu.exec_(self.cursor().pos()) def _simpleFitSignal(self): if DEBUG: print("_simpleFitSignal") self._QSimpleOperation("fit") def _customFitSignal(self): if DEBUG: print("_customFitSignal") self._QSimpleOperation("custom_fit") def _saveIconSignal(self): if DEBUG: print("_saveIconSignal") self._QSimpleOperation("save") def _averageIconSignal(self): if DEBUG: print("_averageIconSignal") self._QSimpleOperation("average") def _smoothIconSignal(self): if DEBUG: print("_smoothIconSignal") self._QSimpleOperation("smooth") def _getOutputFileName(self): #get outputfile self.outputDir = PyMcaDirs.outputDir if self.outputDir is None: self.outputDir = os.getcwd() wdir = os.getcwd() elif os.path.exists(self.outputDir): wdir = self.outputDir else: self.outputDir = os.getcwd() wdir = self.outputDir filterlist = ['Specfile MCA *.mca', 'Specfile Scan *.dat', 'Specfile MultiScan *.dat', 'Raw ASCII *.txt', '","-separated CSV *.csv', '";"-separated CSV *.csv', '"tab"-separated CSV *.csv', 'OMNIC CSV *.csv', 'Widget PNG *.png', 'Widget JPG *.jpg', 'Graphics PNG *.png', 'Graphics EPS *.eps', 'Graphics SVG *.svg'] fileList, fileFilter = PyMcaFileDialogs.getFileList(self, filetypelist=filterlist, message="Output File Selection", currentdir=wdir, single=True, mode="SAVE", getfilter=True, currentfilter=self.outputFilter) if not len(fileList): return filterused = fileFilter.split() filetype = filterused[1] extension = filterused[2] outdir = qt.safe_str(fileList[0]) try: self.outputDir = os.path.dirname(outdir) PyMcaDirs.outputDir = os.path.dirname(outdir) except: print("setting output directory to default") self.outputDir = os.getcwd() try: outputFile = os.path.basename(outdir) except: outputFile = outdir if len(outputFile) < 5: outputFile = outputFile + extension[-4:] elif outputFile[-4:] != extension[-4:]: outputFile = outputFile + extension[-4:] return os.path.join(self.outputDir, outputFile), filetype, filterused def _QSimpleOperation(self, operation): try: self._simpleOperation(operation) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() def _saveOperation(self, fileName, fileType, fileFilter): filterused = fileFilter filetype = fileType filename = fileName if os.path.exists(filename): os.remove(filename) if filterused[0].upper() == "WIDGET": fformat = filename[-3:].upper() pixmap = qt.QPixmap.grabWidget(self) if not pixmap.save(filename, fformat): qt.QMessageBox.critical(self, "Save Error", "%s" % sys.exc_info()[1]) return try: if filename[-3:].upper() in ['EPS', 'PNG', 'SVG']: self.graphicsSave(filename) return except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Graphics Saving Error: %s" % (sys.exc_info()[1])) msg.exec_() return systemline = os.linesep os.linesep = '\n' try: if sys.version < "3.0": ffile=open(filename, "wb") else: ffile=open(filename, "w", newline='') except IOError: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Input Output Error: %s" % (sys.exc_info()[1])) msg.exec_() return x, y, legend, info = self.getActiveCurve() xlabel = info.get("xlabel", "X") ylabel = info.get("ylabel", "Y") if 0: if "selection" in info: if type(info['selection']) == type({}): if 'x' in info['selection']: #proper scan selection ilabel = info['selection']['y'][0] ylegend = info['LabelNames'][ilabel] ylabel = ylegend if info['selection']['x'] is not None: if len(info['selection']['x']): xlabel = info['LabelNames'] [info['selection']['x'][0]] else: xlabel = "Point number" try: if filetype in ['Scan', 'MultiScan']: ffile.write("#F %s\n" % filename) savingDate = "#D %s\n"%(time.ctime(time.time())) ffile.write(savingDate) ffile.write("\n") ffile.write("#S 1 %s\n" % legend) ffile.write(savingDate) ffile.write("#N 2\n") ffile.write("#L %s %s\n" % (xlabel, ylabel) ) for i in range(len(y)): ffile.write("%.7g %.7g\n" % (x[i], y[i])) ffile.write("\n") if filetype == 'MultiScan': scan_n = 1 curveList = self.getAllCurves() for x, y, key, info in curveList: if key == legend: continue xlabel = info.get("xlabel", "X") ylabel = info.get("ylabel", "Y") if 0: if "selection" in info: if type(info['selection']) == type({}): if 'x' in info['selection']: #proper scan selection ilabel = info['selection']['y'][0] ylegend = info['LabelNames'][ilabel] ylabel = ylegend if info['selection']['x'] is not None: if len(info['selection']['x']): xlabel = info['LabelNames'] [info['selection']['x'][0]] else: xlabel = "Point number" scan_n += 1 ffile.write("#S %d %s\n" % (scan_n, key)) ffile.write(savingDate) ffile.write("#N 2\n") ffile.write("#L %s %s\n" % (xlabel, ylabel) ) for i in range(len(y)): ffile.write("%.7g %.7g\n" % (x[i], y[i])) ffile.write("\n") elif filetype == 'ASCII': for i in range(len(y)): ffile.write("%.7g %.7g\n" % (x[i], y[i])) elif filetype == 'CSV': if "," in filterused[0]: csvseparator = "," elif ";" in filterused[0]: csvseparator = ";" elif "OMNIC" in filterused[0]: csvseparator = "," else: csvseparator = "\t" if "OMNIC" not in filterused[0]: ffile.write('"%s"%s"%s"\n' % (xlabel,csvseparator,ylabel)) for i in range(len(y)): ffile.write("%.7E%s%.7E\n" % (x[i], csvseparator,y[i])) else: ffile.write("#F %s\n" % filename) ffile.write("#D %s\n"%(time.ctime(time.time()))) ffile.write("\n") ffile.write("#S 1 %s\n" % legend) ffile.write("#D %s\n"%(time.ctime(time.time()))) ffile.write("#@MCA %16C\n") ffile.write("#@CHANN %d %d %d 1\n" % (len(y), x[0], x[-1])) ffile.write("#@CALIB %.7g %.7g %.7g\n" % (0, 1, 0)) ffile.write(self.array2SpecMca(y)) ffile.write("\n") ffile.close() os.linesep = systemline except: os.linesep = systemline raise return def _simpleOperation(self, operation): if operation == 'subtract': self._subtractOperation() return if operation == "save": #getOutputFileName filename = self._getOutputFileName() if filename is None: return self._saveOperation(filename[0], filename[1], filename[2]) return if operation != "average": #get active curve legend = self.getActiveCurveLegend() if legend is None:return found = False for key in self.dataObjectsList: if key == legend: found = True break if found: dataObject = self.dataObjectsDict[legend] else: print("I should not be here") print("active curve =",legend) print("but legend list = ",self.dataObjectsList) return y = dataObject.y[0] if dataObject.x is not None: x = dataObject.x[0] else: x = numpy.arange(len(y)).astype(numpy.float) ilabel = dataObject.info['selection']['y'][0] ylabel = dataObject.info['LabelNames'][ilabel] if len(dataObject.info['selection']['x']): ilabel = dataObject.info['selection']['x'][0] xlabel = dataObject.info['LabelNames'][ilabel] else: xlabel = "Point Number" else: x = [] y = [] legend = "" i = 0 ndata = 0 for key in self._curveList: if DEBUG: print("key -> ", key) if key in self.dataObjectsDict: x.append(self.dataObjectsDict[key].x[0]) #only the first X if len(self.dataObjectsDict[key].y) == 1: y.append(self.dataObjectsDict[key].y[0]) else: sel_legend = self.dataObjectsDict[key].info['legend'] ilabel = 0 #I have to get the proper y associated to the legend if sel_legend in key: if key.index(sel_legend) == 0: label = key[len(sel_legend):] while (label.startswith(' ')): label = label[1:] if not len(label): break if label in self.dataObjectsDict[key].info['LabelNames']: ilabel = self.dataObjectsDict[key].info['LabelNames'].index(label) if DEBUG: print("LABEL = ", label) print("ilabel = ", ilabel) y.append(self.dataObjectsDict[key].y[ilabel]) if i == 0: legend = key firstcurve = key i += 1 else: legend += " + " + key lastcurve = key ndata += 1 if ndata == 0: return #nothing to average dataObject = self.dataObjectsDict[firstcurve] #create the output data object newDataObject = DataObject.DataObject() newDataObject.data = None newDataObject.info = copy.deepcopy(dataObject.info) if 'selectionlegend' in newDataObject.info: del newDataObject.info['selectionlegend'] if not ('operations' in newDataObject.info): newDataObject.info['operations'] = [] newDataObject.info['operations'].append(operation) sel = {} sel['SourceType'] = "Operation" #get new x and new y if operation == "derivate": #xmin and xmax xlimits=self.getGraphXLimits() xplot, yplot = self.simpleMath.derivate(x, y, xlimits=xlimits) ilabel = dataObject.info['selection']['y'][0] ylabel = dataObject.info['LabelNames'][ilabel] newDataObject.info['LabelNames'][ilabel] = ylabel+"'" newDataObject.info['plot_yaxis'] = "right" sel['SourceName'] = legend sel['Key'] = "'" sel['legend'] = legend + sel['Key'] outputlegend = legend + sel['Key'] elif operation == "average": xplot, yplot = self.simpleMath.average(x, y) if len(legend) < 80: sel['SourceName'] = legend sel['Key'] = "" sel['legend'] = "(%s)/%d" % (legend, ndata) outputlegend = "(%s)/%d" % (legend, ndata) else: sel['SourceName'] = legend legend = "Average of %d from %s to %s" % (ndata, firstcurve, lastcurve) sel['Key'] = "" sel['legend'] = legend outputlegend = legend elif operation == "swapsign": xplot = x * 1 yplot = -y sel['SourceName'] = legend sel['Key'] = "" sel['legend'] = "-(%s)" % legend outputlegend = "-(%s)" % legend elif operation == "smooth": xplot = x * 1 yplot = self.simpleMath.smooth(y) sel['SourceName'] = legend sel['Key'] = "" sel['legend'] = "%s Smooth" % legend outputlegend = "%s Smooth" % legend if 'operations' in dataObject.info: if len(dataObject.info['operations']): if dataObject.info['operations'][-1] == "smooth": sel['legend'] = legend outputlegend = legend elif operation == "forceymintozero": xplot = x * 1 yplot = y - min(y) sel['SourceName'] = legend sel['Key'] = "" sel['legend'] = "(%s) - ymin" % legend outputlegend = "(%s) - ymin" % legend elif operation == "fit": #remove a existing fit if present xmin,xmax=self.getGraphXLimits() outputlegend = legend + " Fit" for key in self._curveList: if key == outputlegend: self.removeCurves([outputlegend], replot=False) break self.scanFit.setData(x = x, y = y, xmin = xmin, xmax = xmax, legend = legend) if self.scanFit.isHidden(): self.scanFit.show() self.scanFit.raise_() elif operation == "custom_fit": #remove a existing fit if present xmin, xmax=self.getGraphXLimits() outputlegend = legend + "Custom Fit" keyList = list(self._curveList) for key in keyList: if key == outputlegend: self.removeCurves([outputlegend], replot=False) break self.customFit.setData(x = x, y = y, xmin = xmin, xmax = xmax, legend = legend) if self.customFit.isHidden(): self.customFit.show() self.customFit.raise_() else: raise ValueError("Unknown operation %s" % operation) if operation not in ["fit", "custom_fit"]: newDataObject.x = [xplot] newDataObject.y = [yplot] newDataObject.m = [numpy.ones(len(yplot)).astype(numpy.float)] #and add it to the plot if True and (operation not in ['fit', 'custom_fit']): sel['dataobject'] = newDataObject sel['scanselection'] = True sel['selection'] = copy.deepcopy(dataObject.info['selection']) sel['selectiontype'] = "1D" if operation == 'average': self._replaceSelection([sel]) elif operation != 'fit': self._addSelection([sel]) else: self.__fitDataObject = newDataObject return else: newDataObject.info['legend'] = outputlegend if operation == 'fit': self.__fitDataObject = newDataObject return if operation == 'custom_fit': self.__customFitDataObject = newDataObject return self.dataObjectsDict[newDataObject.info['legend']] = newDataObject #here I should check the log or linear status self.addCurve(x=xplot, y=yplot, legend=newDataObject.info['legend'], replot=False) self.replot() def graphicsSave(self, filename): #use the plugin interface x, y, legend, info = self.getActiveCurve()[:4] curveList = self.getAllCurves() size = (6, 3) #in inches bw = False if len(curveList) > 1: legends = True else: legends = False if self.matplotlibDialog is None: self.matplotlibDialog = QPyMcaMatplotlibSave1D.\ QPyMcaMatplotlibSaveDialog(size=size, logx=self._logX, logy=self._logY, legends=legends, bw = bw) mtplt = self.matplotlibDialog.plot mtplt.setParameters({'logy':self._logY, 'logx':self._logX, 'legends':legends, 'bw':bw}) xmin, xmax = self.getGraphXLimits() ymin, ymax = self.getGraphYLimits() mtplt.setLimits(xmin, xmax, ymin, ymax) legend0 = legend xdata = x ydata = y dataCounter = 1 alias = "%c" % (96+dataCounter) mtplt.addDataToPlot( xdata, ydata, legend=legend0, alias=alias ) for curve in curveList: xdata, ydata, legend, info = curve[0:4] if legend == legend0: continue dataCounter += 1 alias = "%c" % (96+dataCounter) mtplt.addDataToPlot( xdata, ydata, legend=legend, alias=alias ) if sys.version < '3.0': self.matplotlibDialog.setXLabel(qt.safe_str(self.getGraphXLabel())) self.matplotlibDialog.setYLabel(qt.safe_str(self.getGraphYLabel())) else: self.matplotlibDialog.setXLabel(self.getGraphXLabel()) self.matplotlibDialog.setYLabel(self.getGraphYLabel()) if legends: mtplt.plotLegends() ret = self.matplotlibDialog.exec_() if ret == qt.QDialog.Accepted: mtplt.saveFile(filename) return def getActiveCurveLegend(self): return super(ScanWindow,self).getActiveCurve(just_legend=True) def _deriveIconSignal(self): if DEBUG: print("_deriveIconSignal") self._QSimpleOperation('derivate') def _swapSignIconSignal(self): if DEBUG: print("_swapSignIconSignal") self._QSimpleOperation('swapsign') def _yMinToZeroIconSignal(self): if DEBUG: print("_yMinToZeroIconSignal") self._QSimpleOperation('forceymintozero') def _subtractIconSignal(self): if DEBUG: print("_subtractIconSignal") self._QSimpleOperation('subtract') def _subtractOperation(self): #identical to twice the average with the negative active curve #get active curve legend = self.getActiveCurveLegend() if legend is None: return found = False for key in self.dataObjectsList: if key == legend: found = True break if found: dataObject = self.dataObjectsDict[legend] else: print("I should not be here") print("active curve =",legend) print("but legend list = ",self.dataObjectsList) return x = dataObject.x[0] y = dataObject.y[0] ilabel = dataObject.info['selection']['y'][0] ylabel = dataObject.info['LabelNames'][ilabel] if len(dataObject.info['selection']['x']): ilabel = dataObject.info['selection']['x'][0] xlabel = dataObject.info['LabelNames'][ilabel] else: xlabel = "Point Number" xActive = x yActive = y yActiveLegend = legend yActiveLabel = ylabel xActiveLabel = xlabel operation = "subtract" sel_list = [] i = 0 ndata = 0 keyList = list(self._curveList) for key in keyList: legend = "" x = [xActive] y = [-yActive] if DEBUG: print("key -> ", key) if key in self.dataObjectsDict: x.append(self.dataObjectsDict[key].x[0]) #only the first X if len(self.dataObjectsDict[key].y) == 1: y.append(self.dataObjectsDict[key].y[0]) ilabel = self.dataObjectsDict[key].info['selection']['y'][0] else: sel_legend = self.dataObjectsDict[key].info['legend'] ilabel = self.dataObjectsDict[key].info['selection']['y'][0] #I have to get the proper y associated to the legend if sel_legend in key: if key.index(sel_legend) == 0: label = key[len(sel_legend):] while (label.startswith(' ')): label = label[1:] if not len(label): break if label in self.dataObjectsDict[key].info['LabelNames']: ilabel = self.dataObjectsDict[key].info['LabelNames'].index(label) if DEBUG: print("LABEL = ", label) print("ilabel = ", ilabel) y.append(self.dataObjectsDict[key].y[ilabel]) outputlegend = "(%s - %s)" % (key, yActiveLegend) ndata += 1 xplot, yplot = self.simpleMath.average(x, y) yplot *= 2 #create the output data object newDataObject = DataObject.DataObject() newDataObject.data = None newDataObject.info.update(self.dataObjectsDict[key].info) if not ('operations' in newDataObject.info): newDataObject.info['operations'] = [] newDataObject.info['operations'].append(operation) newDataObject.info['LabelNames'][ilabel] = "(%s - %s)" % \ (newDataObject.info['LabelNames'][ilabel], yActiveLabel) newDataObject.x = [xplot] newDataObject.y = [yplot] newDataObject.m = None sel = {} sel['SourceType'] = "Operation" sel['SourceName'] = key sel['Key'] = "" sel['legend'] = outputlegend sel['dataobject'] = newDataObject sel['scanselection'] = True sel['selection'] = copy.deepcopy(dataObject.info['selection']) #sel['selection']['y'] = [ilabel] sel['selectiontype'] = "1D" sel_list.append(sel) if True: #The legend menu was not working with the next line #but if works if I add the list self._replaceSelection(sel_list) else: oldlist = list(self.dataObjectsDict) self._addSelection(sel_list) self.removeCurves(oldlist) #The plugins interface def getGraphYLimits(self): #if the active curve is mapped to second axis #I should give the second axis limits return super(ScanWindow, self).getGraphYLimits() #end of plugins interface def addCurve(self, x, y, legend=None, info=None, replace=False, replot=True, color=None, symbol=None, linestyle=None, xlabel=None, ylabel=None, yaxis=None, xerror=None, yerror=None, **kw): if legend in self._curveList: if info is None: info = {} oldStuff = self.getCurve(legend) if len(oldStuff): oldX, oldY, oldLegend, oldInfo = oldStuff else: oldInfo = {} if color is None: color = info.get("plot_color", oldInfo.get("plot_color", None)) if symbol is None: symbol = info.get("plot_symbol",oldInfo.get("plot_symbol", None)) if linestyle is None: linestyle = info.get("plot_linestyle",oldInfo.get("plot_linestyle", None)) if yaxis is None: yaxis = info.get("plot_yaxis",oldInfo.get("plot_yaxis", None)) else: if info is None: info = {} if color is None: color = info.get("plot_color", None) if symbol is None: symbol = info.get("plot_symbol", None) if linestyle is None: linestyle = info.get("plot_linestyle", None) if yaxis is None: yaxis = info.get("plot_yaxis", None) if legend in self.dataObjectsDict: # the info is changing super(ScanWindow, self).addCurve(x, y, legend=legend, info=info, replace=replace, replot=replot, color=color, symbol=symbol, linestyle=linestyle, xlabel=xlabel, ylabel=ylabel, yaxis=yaxis, xerror=xerror, yerror=yerror, **kw) else: # create the data object self.newCurve(x, y, legend=legend, info=info, replace=replace, replot=replot, color=color, symbol=symbol, linestyle=linestyle, xlabel=xlabel, ylabel=ylabel, yaxis=yaxis, xerror=xerror, yerror=yerror, **kw) def newCurve(self, x, y, legend=None, info=None, replace=False, replot=True, color=None, symbol=None, linestyle=None, xlabel=None, ylabel=None, yaxis=None, xerror=None, yerror=None, **kw): if legend is None: legend = "Unnamed curve 1.1" if xlabel is None: xlabel = "X" if ylabel is None: ylabel = "Y" if info is None: info = {} # this is awfull but I have no other way to pass the plot information ... if color is not None: info["plot_color"] = color if symbol is not None: info["plot_symbol"] = symbol if linestyle is not None: info["plot_linestyle"] = linestyle if yaxis is not None: info["plot_yaxis"] = yaxis newDataObject = DataObject.DataObject() newDataObject.x = [x] newDataObject.y = [y] newDataObject.m = None newDataObject.info = copy.deepcopy(info) newDataObject.info['legend'] = legend newDataObject.info['SourceName'] = legend newDataObject.info['Key'] = "" newDataObject.info['selectiontype'] = "1D" newDataObject.info['LabelNames'] = [xlabel, ylabel] newDataObject.info['selection'] = {'x':[0], 'y':[1]} sel_list = [] sel = {} sel['SourceType'] = "Operation" sel['SourceName'] = legend sel['Key'] = "" sel['legend'] = legend sel['dataobject'] = newDataObject sel['scanselection'] = True sel['selection'] = {'x':[0], 'y':[1], 'm':[], 'cntlist':[xlabel, ylabel]} #sel['selection']['y'] = [ilabel] sel['selectiontype'] = "1D" sel_list.append(sel) if replace: self._replaceSelection(sel_list) else: self._addSelection(sel_list, replot=replot) def printGraph(self): if self.printPreview.printer is None: # setup needed self.printPreview.setup() self._printer = self.printPreview.printer if self._printer is None: # printer was not selected return #self._printer = None if PlotWindow.PlotWidget.SVG: svg = True self._svgRenderer = self.getSvgRenderer() else: svg = False if hasattr(self, "getWidgetHandle"): widget = self.getWidgetHandle() else: widget = self.centralWidget() if hasattr(widget, "grab"): pixmap = widget.grab() else: pixmap = qt.QPixmap.grabWidget(widget) title = None comment = None if self.scanWindowInfoWidget is not None: if not self.infoDockWidget.isHidden(): info = self.scanWindowInfoWidget.getInfo() title = info['scan'].get('source', None) comment = info['scan'].get('scan', None)+"\n" h, k, l = info['scan'].get('hkl') if h != "----": comment += "H = %s K = %s L = %s\n" % (h, k, l) peak = info['graph']['peak'] peakAt = info['graph']['peakat'] fwhm = info['graph']['fwhm'] fwhmAt = info['graph']['fwhmat'] com = info['graph']['com'] mean = info['graph']['mean'] std = info['graph']['std'] minimum = info['graph']['min'] maximum = info['graph']['max'] delta = info['graph']['delta'] xLabel = self.getGraphXLabel() comment += "Peak %s at %s = %s\n" % (peak, xLabel, peakAt) comment += "FWHM %s at %s = %s\n" % (fwhm, xLabel, fwhmAt) comment += "COM = %s Mean = %s STD = %s\n" % (com, mean, std) comment += "Min = %s Max = %s Delta = %s\n" % (minimum, maximum, delta) if hasattr(self, "scanFit"): if not self.scanFit.isHidden(): if comment is None: comment = "" comment += "\n" comment += self.scanFit.getText() if svg: self.printPreview.addSvgItem(self._svgRenderer, title=None, comment=comment, commentPosition="LEFT") else: self.printPreview.addPixmap(pixmap, title=None, comment=comment, commentPosition="LEFT") if self.printPreview.isHidden(): self.printPreview.show() self.printPreview.raise_() def getSvgRenderer(self, printer=None): if printer is None: if self.printPreview.printer is None: # setup needed self.printPreview.setup() self._printer = self.printPreview.printer printer = self._printer if printer is None: # printer was not selected # return a renderer without adjusting the viewbox if sys.version < '3.0': import cStringIO as StringIO imgData = StringIO.StringIO() else: from io import StringIO imgData = StringIO() self.saveGraph(imgData, fileFormat='svg') imgData.flush() imgData.seek(0) svgData = imgData.read() imgData = None svgRenderer = qt.QSvgRenderer() svgRenderer._svgRawData = svgData svgRenderer._svgRendererData = qt.QXmlStreamReader(svgData) if not svgRenderer.load(svgRenderer._svgRendererData): raise RuntimeError("Cannot interpret svg data") return svgRenderer # we have what is to be printed if sys.version < '3.0': import cStringIO as StringIO imgData = StringIO.StringIO() else: from io import StringIO imgData = StringIO() self.saveGraph(imgData, fileFormat='svg') imgData.flush() imgData.seek(0) svgData = imgData.read() imgData = None svgRenderer = qt.QSvgRenderer() #svgRenderer = PlotWindow.PlotWindow.getSvgRenderer(self) # we have to specify the bounding box config = self.getPrintConfiguration() width = config['width'] height = config['height'] xOffset = config['xOffset'] yOffset = config['yOffset'] units = config['units'] keepAspectRatio = config['keepAspectRatio'] dpix = printer.logicalDpiX() dpiy = printer.logicalDpiY() # get the available space availableWidth = printer.width() availableHeight = printer.height() # convert the offsets to dpi if units.lower() in ['inch', 'inches']: xOffset = xOffset * dpix yOffset = yOffset * dpiy if width is not None: width = width * dpix if height is not None: height = height * dpiy elif units.lower() in ['cm', 'centimeters']: xOffset = (xOffset/2.54) * dpix yOffset = (yOffset/2.54) * dpiy if width is not None: width = (width/2.54) * dpix if height is not None: height = (height/2.54) * dpiy else: # page units xOffset = availableWidth * xOffset yOffset = availableHeight * yOffset if width is not None: width = availableWidth * width if height is not None: height = availableHeight * height availableWidth -= xOffset availableHeight -= yOffset if width is not None: if (availableWidth + 0.1) < width: txt = "Available width %f is less than requested width %f" % \ (availableWidth, width) raise ValueError(txt) availableWidth = width if height is not None: if (availableHeight + 0.1) < height: txt = "Available height %f is less than requested height %f" % \ (availableHeight, height) raise ValueError(txt) availableHeight = height if keepAspectRatio: #get the aspect ratio widget = self.getWidgetHandle() if widget is None: # does this make sense? graphWidth = availableWidth graphHeight = availableHeight else: graphWidth = float(widget.width()) graphHeight = float(widget.height()) graphRatio = graphHeight / graphWidth # that ratio has to be respected bodyWidth = availableWidth bodyHeight = availableWidth * graphRatio if bodyHeight > availableHeight: bodyHeight = availableHeight bodyWidth = bodyHeight / graphRatio else: bodyWidth = availableWidth bodyHeight = availableHeight body = qt.QRectF(xOffset, yOffset, bodyWidth, bodyHeight) # this does not work if I set the svgData before svgRenderer.setViewBox(body) svgRenderer._viewBox = body if not sys.version.startswith("2"): svgData = svgData.encode(encoding="utf-8", errors="replace") svgRenderer._svgRawData = svgData svgRenderer._svgRendererData = qt.QXmlStreamReader(svgData) if not svgRenderer.load(svgRenderer._svgRendererData): raise RuntimeError("Cannot interpret svg data") return svgRenderer def test(): w = ScanWindow() x = numpy.arange(1000.) y = 10 * x + 10000. * numpy.exp(-0.5*(x-500)*(x-500)/400) w.addCurve(x, y, legend="dummy", replot=True, replace=True) w.resetZoom() app.lastWindowClosed.connect(app.quit) w.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/ScanFit.py0000644000276300001750000003343713136054446020531 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui.math.fitting import SpecfitGui from PyMca5.PyMcaMath.fitting import Specfit QTVERSION = qt.qVersion() class ScanFit(qt.QWidget): sigScanFitSignal = qt.pyqtSignal(object) def __init__(self, parent=None, name="ScanFit", specfit=None, fl=0): #fl=qt.Qt.WDestructiveClose): qt.QWidget.__init__(self, parent) self.setWindowTitle(name) if specfit is None: self.specfit = Specfit.Specfit() else: self.specfit = specfit self.info = None layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) ############## self.headerlabel = qt.QLabel(self) self.headerlabel.setAlignment(qt.Qt.AlignHCenter) self.setHeader('Fit of XXXXXXXXXX from X XXXXX to XXXX<\b>') ############## if not len(self.specfit.theorylist): funsFile = "SpecfitFunctions.py" if not os.path.exists(funsFile): funsFile = os.path.join(os.path.dirname(Specfit.__file__), funsFile) self.specfit.importfun(funsFile) if 'Area Gaussians' not in self.specfit.theorylist: funsFile = "SpecfitFunctions.py" if not os.path.exists(funsFile): funsFile = os.path.join(os.path.dirname(Specfit.__file__), funsFile) self.specfit.importfun(funsFile) self.specfit.settheory('Area Gaussians') self.specfit.setbackground('Linear') fitconfig = {} fitconfig.update(self.specfit.fitconfig) fitconfig['WeightFlag'] = 0 fitconfig['ForcePeakPresence'] = 1 fitconfig['McaMode'] = 0 self.specfit.configure(**fitconfig) self.specfitGui = SpecfitGui.SpecfitGui(self, config=1, status=1, buttons=0, specfit=self.specfit, eh=self.specfit.eh) #self.specfitGui.updateGui(configuration=fitconfig) #self.setdata = self.specfit.setdata self.specfitGui.guiconfig.MCACheckBox.setEnabled(1) palette = self.specfitGui.guiconfig.MCACheckBox.palette() ############## hbox = qt.QWidget(self) hboxlayout = qt.QHBoxLayout(hbox) hboxlayout.setContentsMargins(0, 0, 0, 0) hboxlayout.setSpacing(0) self.estimatebutton = qt.QPushButton(hbox) self.estimatebutton.setText("Estimate") self.fitbutton = qt.QPushButton(hbox) self.fitbutton.setText("Fit") hboxlayout.addWidget(self.estimatebutton) hboxlayout.addWidget(qt.HorizontalSpacer(hbox)) hboxlayout.addWidget(self.fitbutton) self.dismissbutton = qt.QPushButton(hbox) self.dismissbutton.setText("Dismiss") self.estimatebutton.clicked.connect(self.estimate) self.fitbutton.clicked.connect(self.fit) self.dismissbutton.clicked.connect(self.dismiss) self.specfitGui.sigSpecfitGuiSignal.connect(self._specfitGuiSignal) hboxlayout.addWidget(qt.HorizontalSpacer(hbox)) hboxlayout.addWidget(self.dismissbutton) layout.addWidget(self.headerlabel) layout.addWidget(self.specfitGui) layout.addWidget(hbox) def setData(self, *var, **kw): self.info = {} if 'legend' in kw: self.info['legend'] = kw['legend'] del kw['legend'] else: self.info['legend'] = 'Unknown Origin' if 'xlabel' in kw: self.info['xlabel'] = kw['xlabel'] del kw['xlabel'] else: self.info['xlabel'] = 'X' self.specfit.setdata(var, **kw) try: self.info['xmin'] = "%.3f" % self.specfit.xdata[0] except: self.info['xmin'] = 'First' try: self.info['xmax'] = "%.3f" % self.specfit.xdata[-1] except: self.info['xmax'] = 'Last' self.setHeader(text="Fit of %s from %s %s to %s" % (self.info['legend'], self.info['xlabel'], self.info['xmin'], self.info['xmax'])) def setheader(self, *var, **kw): return self.setHeader(*var, **kw) def setHeader(self, *var, **kw): if len(var): text = var[0] elif 'text' in kw: text = kw['text'] elif 'header' in kw: text = kw['header'] else: text = "" self.headerlabel.setText("%s<\b>" % text) def fit(self): if self.specfit.fitconfig['McaMode']: fitconfig = {} fitconfig.update(self.specfit.fitconfig) self.specfitGui.updateGui(configuration=fitconfig) #the Gui already takes care of mcafit self.specfitGui.estimate() else: #exception handler to be implemented #self.specfitGui.estimate() self.specfitGui.startfit() def estimate(self): fitconfig = {} fitconfig.update(self.specfit.fitconfig) self.specfitGui.updateGui(configuration=fitconfig) self.specfitGui.estimate() def _specfitGuiSignal(self, ddict): if not hasattr(ddict, "keys"): return if 'event' in ddict: if ddict['event'].upper() == "PRINT": h = self.__htmlheader() if __name__ == "__main__": self.__print(h + ddict['text']) else: ndict = {} ndict['event'] = "ScanFitPrint" ndict['text' ] = h + ddict['text'] ndict['info' ] = {} ndict['info'].update(self.info) self.sigScanFitSignal.emit(ndict) else: if self.info is None: self.info = {} ddict['info'] = {} ddict['info'].update(self.info) self.sigScanFitSignal.emit(ddict) def dismiss(self): self.close() def __htmlheader(self): try: header = "Fit of %s from %s %s to %s" % (self.info['legend'], self.info['xlabel'], self.info['xmin'], self.info['xmax']) except: # I cannot afford any unicode, key or whatever error, so, # provide a default value for the label. header = 'Fit of XXXXXXXXXX from Channel XXXXX to XXXX' if self.specfit.fitconfig['WeightFlag']: weight = "YES" else: weight = "NO" if self.specfit.fitconfig['McaMode']: mode = "YES" else: mode = "NO" theory = self.specfit.fitconfig['fittheory'] bkg = self.specfit.fitconfig['fitbkg'] fwhm = self.specfit.fitconfig['FwhmPoints'] scaling = self.specfit.fitconfig['Yscaling'] h = "" h += "
" h += "%s" % header h += "

" h += "" h += "" h += " " h += " " h += " " % theory h += " " h += " " h += " " h += " " % weight h += " " h += " " h += " " h += " " % fwhm h += "" h += "" h += " " h += " " % bkg h += " " h += " " h += " " h += " " % mode h += " " h += " " h += " " h += " " % scaling h += "" h += "
Function:%sWeight:%sFWHM:%d
Background" h += " :%sMCA Mode:%sScaling:%g
" h += "
" return h def __print(self, text): printer = qt.QPrinter() if printer.setup(self): painter = qt.QPainter() if not(painter.begin(printer)): return 0 try: metrics = qt.QPaintDeviceMetrics(printer) dpiy = metrics.logicalDpiY() margin = int((2 / 2.54) * dpiy) # 2cm margin body = qt.QRect(0.5 * margin, margin, metrics.width() - margin, metrics.height() - 2 * margin) richtext = qt.QSimpleRichText(text, qt.QFont(), qt.QString(""), #0, qt.QStyleSheet.defaultSheet(), qt.QMimeSourceFactory.defaultFactory(), body.height()) view = qt.QRect(body) richtext.setWidth(painter,view.width()) page = 1 while(1): richtext.draw(painter,body.left(),body.top(), view,qt.QColorGroup()) view.moveBy(0, body.height()) painter.translate(0, -body.height()) painter.drawText(view.right() - painter.fontMetrics().width(qt.QString.number(page)), view.bottom() - painter.fontMetrics().ascent() + 5,qt.QString.number(page)) if view.top() >= richtext.height(): break printer.newPage() page += 1 painter.end() except: painter.end() msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("%s" % sys.exc_info()[1]) msg.exec_loop() def getText(self): try: header = "Fit of %s from %s %s to %s" % (self.info['legend'], self.info['xlabel'], self.info['xmin'], self.info['xmax']) except: # I cannot afford any unicode, key or whatever error, so, # provide a default value for the header text. header = 'Fit of XXXXXXXXXX from Channel XXXXX to XXXX' text = header + "\n" if self.specfit.fitconfig['WeightFlag']: weight = "YES" else: weight = "NO" if self.specfit.fitconfig['McaMode']: mode = "YES" else: mode = "NO" theory = self.specfit.fitconfig['fittheory'] bkg = self.specfit.fitconfig['fitbkg'] fwhm = self.specfit.fitconfig['FwhmPoints'] scaling = self.specfit.fitconfig['Yscaling'] text += "Fit Function: %s\n" % theory text += "Background: %s\n" % bkg text += "Weight: %s McaMode: %s FWHM: %d Yscaling: %f\n" % (weight[0], mode[0], fwhm, scaling) text += self.specfitGui.guiparameters.getText() return text def getConfiguration(self): return self.specfit.configure() def setConfiguration(self, fitconfig): self.specfit.configure(**fitconfig) self.specfitGui.updateGui(configuration=fitconfig) def main(): app = qt.QApplication([]) w = ScanFit() app.lastWindowClosed.connect(app.quit) w.show() app.exec_() if __name__ == "__main__": main() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/Mca2Edf.py0000644000276300001750000005764313136054446020410 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy import time from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() if QTVERSION >= '4.0.0': qt.Qt.WDestructiveClose = "TO BE DONE" from PyMca5.PyMcaGui import IconDict from PyMca5.PyMcaGui.pymca import McaCustomEvent from PyMca5.PyMcaIO import EdfFile from PyMca5.PyMcaCore import SpecFileLayer from PyMca5 import PyMcaDirs class Mca2EdfGUI(qt.QWidget): def __init__(self,parent=None,name="Mca to Edf Conversion",fl=qt.Qt.WDestructiveClose, filelist=None,outputdir=None, actions=0): if qt.qVersion() < '4.0.0': qt.QWidget.__init__(self,parent,name,fl) self.setIcon(qt.QPixmap(IconDict['gioconda16'])) self.setCaption(name) else: qt.QWidget.__init__(self, parent) self.setWindowTitle(name) self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) #layout.setAutoAdd(1) self.__build(actions) if filelist is None: filelist = [] self.outputDir = None self.inputDir = None self.setFileList(filelist) self.setOutputDir(outputdir) def __build(self,actions): self.__grid= qt.QWidget(self) #self.__grid.setGeometry(qt.QRect(30,30,288,156)) if QTVERSION < '4.0.0': grid = qt.QGridLayout(self.__grid,3,3,11,6) grid.setColStretch(0,0) grid.setColStretch(1,1) grid.setColStretch(2,0) else: grid = qt.QGridLayout(self.__grid) grid.setContentsMargins(11, 11, 11, 11) grid.setSpacing(6) #input list listrow = 0 listlabel = qt.QLabel(self.__grid) listlabel.setText("Input File list:") if QTVERSION < '4.0.0': listlabel.setAlignment(qt.QLabel.WordBreak | qt.QLabel.AlignVCenter) self.__listView = qt.QTextView(self.__grid) else: self.__listView = qt.QTextEdit(self.__grid) self.__listView.setMaximumHeight(30*listlabel.sizeHint().height()) self.__listButton = qt.QPushButton(self.__grid) self.__listButton.setText('Browse') self.__listButton.clicked.connect(self.browseList) grid.addWidget(listlabel, listrow, 0, qt.Qt.AlignTop|qt.Qt.AlignLeft) grid.addWidget(self.__listView, listrow, 1) grid.addWidget(self.__listButton,listrow, 2, qt.Qt.AlignTop|qt.Qt.AlignRight) #output dir outrow = 1 outlabel = qt.QLabel(self.__grid) outlabel.setText("Output dir:") if QTVERSION < '4.0.0': outlabel.setAlignment(qt.QLabel.WordBreak | qt.QLabel.AlignVCenter) self.__outLine = qt.QLineEdit(self.__grid) self.__outLine.setReadOnly(True) #self.__outLine.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Maximum, qt.QSizePolicy.Fixed)) self.__outButton = qt.QPushButton(self.__grid) self.__outButton.setText('Browse') self.__outButton.clicked.connect(self.browseOutputDir) grid.addWidget(outlabel, outrow, 0, qt.Qt.AlignLeft) grid.addWidget(self.__outLine, outrow, 1) grid.addWidget(self.__outButton, outrow, 2, qt.Qt.AlignLeft) #step filesteprow =2 filesteplabel = qt.QLabel(self.__grid) filesteplabel.setText("New EDF file each") filesteplabel2 = qt.QLabel(self.__grid) self.__fileSpin = qt.QSpinBox(self.__grid) if QTVERSION < '4.0.0': self.__fileSpin.setMinValue(1) self.__fileSpin.setMaxValue(999999) else: self.__fileSpin.setMinimum(1) self.__fileSpin.setMaximum(999999) self.__fileSpin.setValue(1) filesteplabel2.setText("mca") grid.addWidget(filesteplabel, filesteprow, 0, qt.Qt.AlignLeft) grid.addWidget(self.__fileSpin,filesteprow, 1) grid.addWidget(filesteplabel2, filesteprow, 2, qt.Qt.AlignLeft) self.mainLayout.addWidget(self.__grid) if actions: self.__buildActions() def __buildActions(self): box = qt.QWidget(self) boxLayout = qt.QHBoxLayout(box) boxLayout.addWidget(qt.HorizontalSpacer(box)) self.__dismissButton = qt.QPushButton(box) boxLayout.addWidget(self.__dismissButton) boxLayout.addWidget(qt.HorizontalSpacer(box)) self.__dismissButton.setText("Close") self.__startButton = qt.QPushButton(box) boxLayout.addWidget(self.__startButton) boxLayout.addWidget(qt.HorizontalSpacer(box)) self.__startButton.setText("Start") self.mainLayout.addWidget(box) self.__dismissButton.clicked.connect(self.close) self.__startButton.clicked.connect(self.start) def setFileList(self,filelist=None): if filelist is None:filelist = [] if True or self.__goodFileList(filelist): text = "" #respect initial file list choice #filelist.sort() for ffile in filelist: text += "%s\n" % ffile self.fileList = filelist self.__listView.setText(text) if len(filelist): PyMcaDirs.inputDir = os.path.dirname(filelist[0]) def setOutputDir(self,outputdir=None): if outputdir is None:return if self.__goodOutputDir(outputdir): self.outputDir = outputdir self.__outLine.setText(outputdir) PyMcaDirs.outputDir = self.outputDir else: qt.QMessageBox.critical(self, "ERROR", "Cannot use output directory:\n%s"% (outputdir)) def __goodFileList(self,filelist): if not len(filelist):return True for file in filelist: if not os.path.exists(file): qt.QMessageBox.critical(self, "ERROR",'File %s\ndoes not exists' % file) self.raiseW() return False return True def __goodOutputDir(self,outputdir): if os.path.isdir(outputdir):return True else:return False def browseList(self): if self.inputDir is None:self.inputDir = PyMcaDirs.inputDir if not os.path.exists(self.inputDir): self.inputDir = os.getcwd() wdir = self.inputDir if QTVERSION < '4.0.0': filedialog = qt.QFileDialog(self,"Open a set of files",1) filedialog.setMode(filedialog.ExistingFiles) filedialog.setDir(wdir) filedialog.setFilters("Mca Files (*.mca)\nSpec Files (*.dat)\nAll Files (*)\n") if filedialog.exec_loop() == qt.QDialog.Accepted: filelist0=filedialog.selectedFiles() else: self.raiseW() return else: filedialog = qt.QFileDialog(self) filedialog.setWindowTitle("Open a set of files") filedialog.setDirectory(wdir) if hasattr(filedialog, "setFilters"): filedialog.setFilters(["Mca Files (*.mca)", "Spec Files (*.dat)", "All Files (*)"]) else: filedialog.setNameFilters(["Mca Files (*.mca)", "Spec Files (*.dat)", "All Files (*)"]) filedialog.setModal(1) filedialog.setFileMode(filedialog.ExistingFiles) ret = filedialog.exec_() if ret == qt.QDialog.Accepted: filelist0=filedialog.selectedFiles() else: self.raise_() return filelist = [] for f in filelist0: filelist.append(qt.safe_str(f)) if len(filelist): self.setFileList(filelist) if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() def browseConfig(self): filename = qt.QFileDialog(self,"Open a new fit config file",1) filename.setMode(filename.ExistingFiles) if hasattr(filename, "setFilters"): filename.setFilters("Config Files (*.cfg)\nAll files (*)") else: filename.setNameFilters("Config Files (*.cfg)\nAll files (*)") if filename.exec_loop() == qt.QDialog.Accepted: filename = filename.selectedFile() else: self.raiseW() return filename= qt.safe_str(filename) if len(filename): self.setConfigFile(filename) self.raiseW() def browseOutputDir(self): if self.outputDir is None: self.outputDir = PyMcaDirs.outputDir if not os.path.exists(self.outputDir): self.outputDir = os.getcwd() wdir = self.outputDir if QTVERSION < '4.0.0': outfile = qt.QFileDialog(self,"Output Directory Selection",1) outfile.setMode(outfile.DirectoryOnly) outfile.setDir(wdir) ret = outfile.exec_loop() else: outfile = qt.QFileDialog(self) outfile.setWindowTitle("Output Directory Selection") outfile.setModal(1) outfile.setDirectory(wdir) outfile.setFileMode(outfile.DirectoryOnly) ret = outfile.exec_() if ret: if QTVERSION < '4.0.0': outdir = qt.safe_str(outfile.selectedFile()) else: outdir = qt.safe_str(outfile.selectedFiles()[0]) outfile.close() del outfile self.setOutputDir(outdir) else: # pyflakes http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=666494 outfile.close() del outfile if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() def start(self): if not len(self.fileList): qt.QMessageBox.critical(self, "ERROR",'Empty file list') if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() return if (self.outputDir is None) or (not self.__goodOutputDir(self.outputDir)): qt.QMessageBox.critical(self, "ERROR",'Invalid output directory') if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() return name = "Batch from %s to %s " % (os.path.basename(self.fileList[ 0]), os.path.basename(self.fileList[-1])) window = Mca2EdfWindow(name="Mca 2 Edf "+name,actions=1) self.fileStep = int(qt.safe_str(self.__fileSpin.text())) b = Mca2EdfBatch(window,self.fileList,self.outputDir, self.fileStep) def cleanup(): b.pleasePause = 0 b.pleaseBreak = 1 b.wait() qApp = qt.QApplication.instance() qApp.processEvents() def pause(): if b.pleasePause: b.pleasePause=0 window.pauseButton.setText("Pause") else: b.pleasePause=1 window.pauseButton.setText("Continue") window.pauseButton.clicked.connect(pause) window.abortButton.clicked.connect(window.close) qApp = qt.QApplication.instance() qApp.aboutToQuit.connect(cleanup) self.__window = window self.__b = b window.show() b.start() class Mca2EdfBatch(qt.QThread): def __init__(self, parent, filelist=None, outputdir = None, filestep = 1): self._filelist = filelist self.outputdir = outputdir self.filestep = filestep qt.QThread.__init__(self) self.parent = parent self.pleasePause = 0 def processList(self): self.__ncols = None self.__nrows = self.filestep counter = 0 ffile = SpecFileLayer.SpecFileLayer() for fitfile in self._filelist: self.onNewFile(fitfile, self._filelist) ffile.SetSource(fitfile) fileinfo = ffile.GetSourceInfo() # nscans = len(fileinfo['KeyList']) for scankey in fileinfo['KeyList']: scan,order = scankey.split(".") info,data = ffile.LoadSource(scankey) scan_obj = ffile.Source.select(scankey) if info['NbMca'] > 0: for i in range(info['NbMca']): point = int(i/info['NbMcaDet']) + 1 mca = (i % info['NbMcaDet']) + 1 key = "%s.%s.%05d.%d" % (scan,order,point,mca) if i == 0: mcainfo,mcadata = ffile.LoadSource(key) mcadata = scan_obj.mca(i+1) y0 = numpy.array(mcadata, numpy.float) if counter == 0: key0 = "%s key %s" % (os.path.basename(fitfile), key) self.__ncols = len(y0) image = numpy.zeros((self.__nrows,self.__ncols), \ numpy.float) if self.__ncols != len(y0): print("spectrum has different number of columns") print("skipping it") else: image[counter,:] = y0[:] if (counter+1) == self.filestep: if self.filestep > 1: key1 = "%s key %s" % (os.path.basename(fitfile), key) title = "%s to %s" % (key0, key1) else: title = key0 if 1: ddict={} if 'Channel0' in mcainfo: ddict['MCA start ch'] =\ int(mcainfo['Channel0']) if 'McaCalib' in mcainfo: ddict['MCA a'] = mcainfo['McaCalib'][0] ddict['MCA b'] = mcainfo['McaCalib'][1] ddict['MCA c'] = mcainfo['McaCalib'][2] else: ddict = mcainfo ddict['Title'] = title edfname = os.path.join(self.outputdir,title.replace(" ","_")+".edf") edfout = EdfFile.EdfFile(edfname) edfout.WriteImage (ddict , image, Append=0) counter = 0 else: counter += 1 self.onEnd() def run(self): self.processList() def onNewFile(self, file, filelist): qt.QApplication.postEvent(self.parent, McaCustomEvent.McaCustomEvent({'file':file, 'filelist':filelist, 'event':'onNewFile'})) if self.pleasePause:self.__pauseMethod() def onEnd(self): qt.QApplication.postEvent(self.parent, McaCustomEvent.McaCustomEvent({'event':'onEnd'})) if self.pleasePause:self.__pauseMethod() def __pauseMethod(self): qt.QApplication.postEvent(self.parent, McaCustomEvent.McaCustomEvent({'event':'batchPaused'})) while(self.pleasePause): time.sleep(1) qt.QApplication.postEvent(self.parent, McaCustomEvent.McaCustomEvent({'event':'batchResumed'})) class Mca2EdfWindow(qt.QWidget): def __init__(self,parent=None, name="BatchWindow", fl=0, actions = 0): if qt.qVersion() < '4.0.0': qt.QWidget.__init__(self, parent, name, fl) self.setCaption(name) else: qt.QWidget.__init__(self, parent) self.setWindowTitle(name) self.l = qt.QVBoxLayout(self) self.l.setContentsMargins(0, 0, 0, 0) self.l.setSpacing(0) self.bars =qt.QWidget(self) self.l.addWidget(self.bars) if QTVERSION < '4.0.0': self.barsLayout = qt.QGridLayout(self.bars,2,3) else: self.barsLayout = qt.QGridLayout(self.bars) self.barsLayout.setContentsMargins(2, 2, 2, 2) self.barsLayout.setSpacing(3) self.progressBar = qt.QProgressBar(self.bars) self.progressLabel = qt.QLabel(self.bars) self.progressLabel.setText('File Progress:') self.barsLayout.addWidget(self.progressLabel,0,0) self.barsLayout.addWidget(self.progressBar,0,1) self.status = qt.QLabel(self) self.l.addWidget(self.status) self.status.setText(" ") self.timeLeft = qt.QLabel(self) self.l.addWidget(self.timeLeft) self.timeLeft.setText("Estimated time left = ???? min") self.time0 = None if actions: self.addButtons() self.show() if QTVERSION < '4.0.0': self.raiseW() else: self.raise_() def addButtons(self): self.actions = 1 self.buttonsBox = qt.QWidget(self) l = qt.QHBoxLayout(self.buttonsBox) l.addWidget(qt.HorizontalSpacer(self.buttonsBox)) self.pauseButton = qt.QPushButton(self.buttonsBox) l.addWidget(self.pauseButton) l.addWidget(qt.HorizontalSpacer(self.buttonsBox)) self.pauseButton.setText("Pause") self.abortButton = qt.QPushButton(self.buttonsBox) l.addWidget(self.abortButton) l.addWidget(qt.HorizontalSpacer(self.buttonsBox)) self.abortButton.setText("Abort") self.l.addWidget(self.buttonsBox) self.update() def customEvent(self,event): if event.dict['event'] == 'onNewFile':self.onNewFile(event.dict['file'], event.dict['filelist']) elif event.dict['event'] == 'onEnd': self.onEnd(event.dict) elif event.dict['event'] == 'batchPaused': self.onPause() elif event.dict['event'] == 'batchResumed':self.onResume() else: print("Unhandled event %s" % event) def onNewFile(self, file, filelist): indexlist = range(0,len(filelist)) index = indexlist.index(filelist.index(file)) nfiles = len(indexlist) self.status.setText("Processing file %s" % file) e = time.time() if QTVERSION < '4.0.0': self.progressBar.setTotalSteps(nfiles) self.progressBar.setProgress(index) else: self.progressBar.setMaximum(nfiles) self.progressBar.setValue(index) if self.time0 is not None: t = (e - self.time0) * (nfiles - index) self.time0 =e if t < 120: self.timeLeft.setText("Estimated time left = %d sec" % (t)) else: self.timeLeft.setText("Estimated time left = %d min" % (int(t / 60.))) else: self.time0 = e if sys.platform == 'darwin': qApp = qt.QApplication.instance() qApp.processEvents() def onEnd(self,ddict): if QTVERSION < '4.0.0': n = self.progressBar.progress() self.progressBar.setProgress(n+1) else: n = self.progressBar.value() self.progressBar.setValue(n+1) self.status.setText ("Batch Finished") self.timeLeft.setText("Estimated time left = 0 sec") if self.actions: self.pauseButton.hide() self.abortButton.setText("OK") def onPause(self): pass def onResume(self): pass def main(): import getopt options = 'f' longoptions = ['outdir=', 'listfile=', 'mcastep='] filelist = None outdir = None listfile = None mcastep = 1 opts, args = getopt.getopt( sys.argv[1:], options, longoptions) for opt,arg in opts: if opt in ('--outdir'): outdir = arg elif opt in ('--listfile'): listfile = arg elif opt in ('--mcastep'): mcastep = int(arg) if listfile is None: filelist=[] for item in args: filelist.append(item) else: fd = open(listfile) filelist = fd.readlines() fd.close() for i in range(len(filelist)): filelist[i]=filelist[i].replace('\n','') app=qt.QApplication(sys.argv) winpalette = qt.QPalette(qt.QColor(230,240,249),qt.QColor(238,234,238)) app.setPalette(winpalette) app.lastWindowClosed.connect(app.quit) if len(filelist) == 0: w = Mca2EdfGUI(actions=1) w.show() sys.exit(app.exec_()) else: text = "Batch from %s to %s" % (os.path.basename(filelist[0]), \ os.path.basename(filelist[-1])) window = Mca2EdfWindow(name=text,actions=1) b = Mca2EdfBatch(window,filelist,outdir,mcastep) def cleanup(): b.pleasePause = 0 b.pleaseBreak = 1 b.wait() qApp = qt.QApplication.instance() qApp.processEvents() def pause(): if b.pleasePause: b.pleasePause=0 window.pauseButton.setText("Pause") else: b.pleasePause=1 window.pauseButton.setText("Continue") window.pauseButton.clicked.connect(pause) window.abortButton.clicked.connect(window.close) app.aboutToQuit.connect(cleanup) window.show() b.start() sys.exit(app.exec_()) if __name__ == "__main__": main() # Mca2Edf.py --outdir=/tmp --mcastep=1 *.mca # PyMcaBatch.py --cfg=/mntdirect/_bliss/users/sole/COTTE/WithLead.cfg --outdir=/tmp/ /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0007.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0008.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0009.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0010.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0011.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0012.edf /mntdirect/_bliss/users/sole/COTTE/ch09/ch09__mca_0003_0000_0013.edf & # PyMcaBatch.exe --cfg=E:/COTTE/WithLead.cfg --outdir=C:/tmp/ E:/COTTE/ch09/ch09__mca_0003_0000_0007.edf E:/COTTE/ch09/ch09__mca_0003_0000_0008.edf PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/XiaCorrectWizard.py0000644000276300001750000004153013136054446022417 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 E. Papillon, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "E. Papillon - ESRF Software group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt import os.path __revision__="$Revision: 1.9 $" class XiaCorrectionWidget(qt.QWizardPage): def __init__(self, parent=None): qt.QWizardPage.__init__(self, parent) layout= qt.QVBoxLayout(self) layout.setContentsMargins(10, 10, 10, 10) layout.setSpacing(5) self.deadCheck= qt.QCheckBox("DeadTime correction", self) self.liveCheck= qt.QCheckBox("LiveTime normalization", self) lineSep= qt.QFrame(self) lineSep.setFrameStyle(qt.QFrame.HLine|qt.QFrame.Sunken) optWidget= qt.QWidget(self) optLayout= qt.QHBoxLayout(optWidget) self.sumCheck= qt.QCheckBox("SUM or", optWidget) self.avgCheck= qt.QCheckBox("AVERAGE selected detectors", optWidget) optLayout.addWidget(self.sumCheck, 0) optLayout.addWidget(self.avgCheck, 1) layout.addWidget(self.deadCheck) layout.addWidget(self.liveCheck) layout.addWidget(lineSep) layout.addWidget(optWidget) self.sumCheck.toggled[bool].connect(self.__sumCheckChanged) self.avgCheck.toggled[bool].connect(self.__avgCheckChanged) sumWidget= qt.QWidget(self) sumLayout= qt.QHBoxLayout(sumWidget) sumLayout.setContentsMargins(0, 0, 0, 0) sumLayout.setSpacing(5) butWidget= qt.QWidget(sumWidget) butLayout= qt.QVBoxLayout(butWidget) butLayout.setContentsMargins(0, 0, 0, 0) butLayout.setSpacing(0) self.sumTable= qt.QTableWidget(sumWidget) self.sumTable.setRowCount(0) self.sumTable.setColumnCount(1) item = self.sumTable.horizontalHeaderItem(0) if item is None: item = qt.QTableWidgetItem("Detectors", qt.QTableWidgetItem.Type) item.setText("Detectors") self.sumTable.setHorizontalHeaderItem(0, item) self.sumTable.cellChanged[int,int].connect(self.__valueChanged) buttonAdd= qt.QPushButton("Add", butWidget) buttonDel= qt.QPushButton("Remove", butWidget) butLayout.addWidget(buttonAdd) butLayout.addWidget(buttonDel) butLayout.addStretch() buttonAdd.clicked.connect(self.__add) buttonDel.clicked.connect(self.__remove) sumLayout.addWidget(self.sumTable) sumLayout.addWidget(butWidget) layout.addWidget(sumWidget) def set(self, pars= {}): self.deadCheck.setChecked(pars.get("deadtime", 0)) self.liveCheck.setChecked(pars.get("livetime", 0)) sums= pars.get("sums", None) self.sumTable.setNumRows(0) if sums is None: self.sumCheck.setChecked(0) else: self.sumCheck.setChecked(1) for sum in sums: self.addSum(sum) def check(self): pars= self.get() if not pars["deadtime"] and not pars["livetime"] and pars["sums"] is None: qt.QMessageBox.warning(self, "No corections or sum", \ "You must at least choose one of livetime, deadtime or sum detectors.", \ qt.QMessageBox.Ok, qt.QMessageBox.NoButton) return None else: return pars def get(self): pars= {} pars["deadtime"]= int(self.deadCheck.isChecked()) pars["livetime"]= int(self.liveCheck.isChecked()) pars["avgflag"]= int(self.avgCheck.isChecked()) pars["sums"]= None if self.sumCheck.isChecked() or self.avgCheck.isChecked(): sums= [] for row in range(self.sumTable.rowCount()): dets= qt.safe_str(self.sumTable.item(row, 0).text()) if dets.find("All")!=-1: sums.append([]) else: sums.append([ int(det) for det in dets.split() ]) if len(sums): pars["sums"]= sums return pars def addSum(self, detectors= [], name=None): num= self.sumTable.rowCount() self.sumTable.setRowCount(num + 1) if len(detectors): itemText= " ".join(detectors) else: itemText= "All" item = self.sumTable.item(num, 0) if item is None: item = qt.QTableWidgetItem("Detectors", qt.QTableWidgetItem.Type) self.sumTable.setItem(num, 0, item) item.setText(itemText) def __add(self): if not self.sumCheck.isChecked() and not self.avgCheck.isChecked(): self.sumCheck.setChecked(1) else: self.addSum() def __remove(self): self.sumTable.removeRow(self.sumTable.currentRow()) if not self.sumTable.rowCount(): self.sumCheck.setChecked(0) def __valueChanged(self, row, col): if col==0: item = self.sumTable.item(row, col) if item is None: item = qt.QTableWidgetItem("", qt.QTableWidgetItem.Type) self.sumTable.setItem(row, col, item) text= qt.safe_str(item.text()) if text.find("All")!=-1 or text.find("all")!=-1 or text.find("-1")!=-1: item.setText("All") else: detsplit= text.replace(",", " ") detsplit= detsplit.replace(";", " ") detsplit= detsplit.replace(":", " ") detsplit= detsplit.split() dets= [] for det in detsplit: try: detno= int(det) except: detno= -1 if detno>=0: dets.append(det) if len(dets): item.setText(' '.join(dets)) else: item.setText("All") def __sumCheckChanged(self, state): if state: if self.avgCheck.isChecked(): self.avgCheck.setChecked(0) if not self.sumTable.rowCount(): self.addSum() def __avgCheckChanged(self, state): if state: if self.sumCheck.isChecked(): self.sumCheck.setChecked(0) if not self.sumTable.rowCount(): self.addSum() class XiaInputWidget(qt.QWizardPage): def __init__(self, parent=None): qt.QWizardPage.__init__(self, parent) layout= qt.QVBoxLayout(self) layout.setContentsMargins(10, 10, 10, 10) layout.setSpacing(5) self.listFiles= qt.QListWidget(self) self.listFiles.setSelectionMode(qt.QAbstractItemView.ExtendedSelection) butWidget= qt.QWidget(self) butLayout= qt.QHBoxLayout(butWidget) butLayout.setContentsMargins(0, 0, 0, 0) butLayout.setSpacing(5) butRemove= qt.QPushButton("Remove", butWidget) butFiles= qt.QPushButton("Add Files", butWidget) butDirectory= qt.QPushButton("Add Directory", butWidget) butRemove.clicked.connect(self.__remove) butFiles.clicked.connect(self.__addFiles) butDirectory.clicked.connect(self.__addDirectory) butLayout.addWidget(butRemove) butLayout.addWidget(butFiles) butLayout.addWidget(butDirectory) layout.addWidget(self.listFiles) layout.addWidget(butWidget) def __addFiles(self): filetypes = "Edf Files (*.edf)\n All Files (*)\n" files= qt.QFileDialog.getOpenFileNames(self, "Add XIA Edf Files", "", filetypes) for name in files: self.__addInFileList("file", name) def __addInFileList(self, type, name): itemname= "%s:%s"%(type, name) for i in range(self.listFiles.count()): item = self.listFiles.item(i) if qt.safe_str(item.text())==itemname: return 0 self.listFiles.addItem(itemname) return 1 def __addDirectory(self): wdir = "" directory = qt.QFileDialog.getExistingDirectory(self, "Add Full Directory", wdir) if directory is not None: self.__addInFileList("directory", directory) def __remove(self): todel= [] for i in range(self.listFiles.count()): item = self.listFiles.item(i) if item.isSelected(): todel.append(i) todel.reverse() for item in todel: self.listFiles.takeItem(item) def __getFileList(self): files= [] for i in range(self.listFiles.count()): item = self.listFiles.item(i) (type, name)= qt.safe_str(item.text()).split(":", 1) if type=="file": files.append(os.path.normpath(name)) else: files += [os.path.join(name, file) for file in os.listdir(name)] return files def get(self): pars= {} pars["files"]= self.__getFileList() return pars def check(self): pars= self.get() if not len(pars["files"]): return None else: return pars class XiaOutputWidget(qt.QWizardPage): DefaultOutname= "corr" def __init__(self, parent=None): qt.QWizardPage.__init__(self, parent) #, name, fl) layout= qt.QVBoxLayout(self) layout.setContentsMargins(10, 10, 10, 10) layout.setSpacing(5) topWidget= qt.QWidget(self) topLayout= qt.QGridLayout(topWidget) topLayout.setContentsMargins(0, 0, 0, 0) topLayout.setSpacing(5) dirLabel= qt.QLabel("Directory", topWidget) nameLabel= qt.QLabel("Prefix name", topWidget) topLayout.addWidget(dirLabel, 0, 0) topLayout.addWidget(nameLabel, 1, 0) self.directory= qt.QLineEdit(topWidget) self.outname= qt.QLineEdit(topWidget) topLayout.addWidget(self.directory, 0, 1) topLayout.addWidget(self.outname, 1, 1) self.directory.returnPressed[()].connect(self.__directoryCheck) butDirectory= qt.QPushButton("Find", topWidget) butOutname= qt.QPushButton("Default", topWidget) topLayout.addWidget(butDirectory, 0, 2) topLayout.addWidget(butOutname, 1, 2) butDirectory.clicked.connect(self.__openDirectory) butOutname.clicked.connect(self.__defaultOutname) lineSep= qt.QFrame(self) lineSep.setFrameStyle(qt.QFrame.HLine|qt.QFrame.Sunken) self.forceCheck= qt.QCheckBox("Force overwriting existing files", self) self.verboseCheck= qt.QCheckBox("Verbose mode", self) layout.addWidget(topWidget) layout.addWidget(lineSep) layout.addWidget(self.forceCheck) layout.addWidget(self.verboseCheck) layout.addStretch() self.__defaultOutname() def __openDirectory(self): wdir = "" outfile = qt.QFileDialog(self) outfile.setWindowTitle("Set Output Directory") outfile.setModal(1) outfile.setDirectory(wdir) outfile.setFileMode(outfile.DirectoryOnly) ret = outfile.exec_() directory = None if ret: directory = qt.safe_str(outfile.selectedFiles()[0]) outfile.close() else: outfile.close() del outfile if directory is not None: self.directory.setText(directory) def __directoryCheck(self): dirname= qt.safe_str(self.directory.text()) if len(dirname): if not os.path.isdir(dirname): qt.QMessageBox.warning(self, "Output Directory", \ "The output directory specified does not exist !!", \ qt.QMessageBox.Ok, qt.QMessageBox.NoButton) return 0 else: dirname= None return dirname def __defaultOutname(self): self.outname.setText(self.DefaultOutname) def get(self): pars= {} pars["force"]= int(self.forceCheck.isChecked()) pars["verbose"]= int(self.verboseCheck.isChecked()) pars["output"]= self.__directoryCheck() if pars["output"]==0: pars["output"]= None pars["name"]= qt.safe_str(self.outname.text()) if not len(pars["name"]): pars["name"]= self.DefaultOutname return pars def check(self): if self.__directoryCheck()==0: return None else: return self.get() class XiaRunWidget(qt.QWidget): sigStarted = qt.pyqtSignal(()) sigFinished = qt.pyqtSignal(()) def __init__(self, parent=None, name=None, fl=0): qt.QWidget.__init__(self, parent, name, fl) layout= qt.QVBoxLayout(self, 10, 5) self.logText= qt.QTextEdit(self) self.logText.setReadOnly(1) progressWidget= qt.QWidget(self) progressLayout= qt.QHBoxLayout(progressWidget, 0, 5) self.progressBar= qt.QProgressBar(progressWidget) self.startButton= qt.QPushButton("Start", progressWidget) font= self.startButton.font() font.setBold(1) self.startButton.setFont(font) progressLayout.addWidget(self.progressBar) progressLayout.addWidget(self.startButton) layout.addWidget(self.logText) layout.addWidget(progressWidget) self.startButton.clicked.connect(self.start) self.parameters= {} def set(self, pars): self.parameters= pars def start(self): self.sigStarted.emit(()) import time for idx in range(30): self.logText.append("%d"%idx) qApp = qt.QApplication.instance() qApp.processEvents() time.sleep(.5) print(idx) self.sigFinished.emit(()) class XiaCorrectWizard(qt.QWizard): def __init__(self, parent=None, name=None, modal=0, fl=0): qt.QWizard.__init__(self, parent) self.setModal(modal) #fl) self.setWindowTitle("Xia Correction Tool") self.resize(qt.QSize(400,300)) self.correction= XiaCorrectionWidget(self) self.input= XiaInputWidget(self) self.output= XiaOutputWidget(self) self.addPage(self.correction) #, "Corrections") self.addPage(self.input) #, "Input Files") self.addPage(self.output) #, "Output Directory") finish= self.button(self.FinishButton) font= finish.font() font.setBold(1) finish.setFont(font) finish.setText("Start") nnext = self.button(self.NextButton) nnext.clicked.connect(self.next) #self.setFinishEnabled(self.output, 1) self.output.setFinalPage(True) self.parameters= {} def next(self): widget= self.page(self.currentId() - 1) pars= widget.check() if pars is not None: self.parameters.update(pars) #qt.QWizard.next(self) def selected(self, name): if name==self.title(self.run): self.run.set(self.parameters) self.setBackEnabled(self.run, 0) def accept(self): pars= self.output.check() if pars is not None: self.parameters.update(pars) qt.QWizard.accept(self) def get(self): return self.parameters if __name__=="__main__": import sys app= qt.QApplication(sys.argv) wid= XiaCorrectWizard() app.setMainWidget(wid) app.lastWindowClosed.connect(app.quit) wid.show() app.exec_() print(wid.get()) PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/StackSimpleFitWindow.py0000644000276300001750000002444513136054446023253 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import traceback import time from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5 import PyMcaDirs from PyMca5.PyMcaGui import SimpleFitGui from PyMca5.PyMcaGui import IconDict from PyMca5.PyMcaMath.fitting import StackSimpleFit from PyMca5.PyMcaIO import ArraySave from PyMca5.PyMcaGui import CalculationThread safe_str = qt.safe_str class OutputParameters(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(2, 2, 2, 2) self.mainLayout.setSpacing(2) self.outputDirLabel = qt.QLabel(self) self.outputDirLabel.setText("Output directory") self.outputDirLine = qt.QLineEdit(self) self.outputDirLine.setReadOnly(True) self.outputDirButton = qt.QPushButton(self) self.outputDirButton.setText("Browse") self.outputFileLabel = qt.QLabel(self) self.outputFileLabel.setText("Output file root") self.outputFileLine = qt.QLineEdit(self) self.outputFileLine.setReadOnly(True) self.outputDir = PyMcaDirs.outputDir self.outputFile = "StackSimpleFitOutput" self.setOutputDirectory(self.outputDir) self.setOutputFileBaseName(self.outputFile) self.mainLayout.addWidget(self.outputDirLabel, 0, 0) self.mainLayout.addWidget(self.outputDirLine, 0, 1) self.mainLayout.addWidget(self.outputDirButton, 0, 2) self.mainLayout.addWidget(self.outputFileLabel, 1, 0) self.mainLayout.addWidget(self.outputFileLine, 1, 1) self.outputDirButton.clicked.connect(self.browseDirectory) def getOutputDirectory(self): return safe_str(self.outputDirLine.text()) def getOutputFileBaseName(self): return safe_str(self.outputFileLine.text()) def setOutputDirectory(self, txt): if os.path.exists(txt): self.outputDirLine.setText(txt) self.outputDir = txt PyMcaDirs.outputDir = txt else: raise IOError("Directory does not exists") def setOutputFileBaseName(self, txt): if len(txt): self.outputFileLine.setText(txt) self.outputFile = txt def browseDirectory(self): wdir = self.outputDir outputDir = qt.QFileDialog.getExistingDirectory(self, "Please select output directory", wdir) if len(outputDir): self.setOutputDirectory(safe_str(outputDir)) class StackSimpleFitWindow(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.setWindowTitle('Stack Fit Window') self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(2, 2, 2, 2) self.mainLayout.setSpacing(2) self.fitSetupWindow = SimpleFitGui.SimpleFitGui(self) self.fitSetupWindow.fitActions.dismissButton.hide() self.mainLayout.addWidget(self.fitSetupWindow) self.fitInstance = self.fitSetupWindow.fitModule self.stackFitInstance = StackSimpleFit.StackSimpleFit(fit=self.fitInstance) self.__mask = None self.importFunctions = self.fitSetupWindow.importFunctions self.outputParameters = OutputParameters(self) self.mainLayout.addWidget(self.outputParameters) self.startButton = qt.QPushButton(self) self.startButton.setText("FitStack") self.mainLayout.addWidget(self.startButton) self.startButton.clicked.connect(self.startStackFit) #progress handling self._total = 100 self._index = 0 self.stackFitInstance.setProgressCallback(self.progressBarUpdate) self.progressBar = qt.QProgressBar(self) self.mainLayout.addWidget(self.progressBar) #def setSpectrum(self, x, y, sigma=None, xmin=None, xmax=None): def setSpectrum(self, *var, **kw): self.fitSetupWindow.setData(*var, **kw) def setData(self, x, stack, data_index=-1, mask=None): self.stack_x = x self.stack_y = stack self.__mask = mask if hasattr(stack, "data") and\ hasattr(stack, "info"): data = stack.data else: data = stack if data_index < 0: data_index = range(len(data.shape))[data_index] self.data_index = data_index def setMask(self, mask): self.__mask = mask def processStack(self): self.stackFitInstance.processStack(mask=self.__mask) def startStackFit(self): xmin = self.fitInstance._fitConfiguration['fit']['xmin'] xmax = self.fitInstance._fitConfiguration['fit']['xmax'] self.stackFitInstance.setOutputDirectory(self.outputParameters.getOutputDirectory()) self.stackFitInstance.setOutputFileBaseName(self.outputParameters.getOutputFileBaseName()) self.stackFitInstance.setData(self.stack_x, self.stack_y, sigma=None, xmin=xmin, xmax=xmax) self.stackFitInstance.setDataIndex(self.data_index) #check filenames fileNames = self.stackFitInstance.getOutputFileNames() deleteFiles = None for key in fileNames.keys(): fileName = fileNames[key] if os.path.exists(fileName): msg = qt.QMessageBox() msg.setWindowTitle("Output file(s) exists") msg.setIcon(qt.QMessageBox.Information) msg.setText("Do you want to delete current output files?") msg.setStandardButtons(qt.QMessageBox.Yes|qt.QMessageBox.No) answer=msg.exec_() if answer == qt.QMessageBox.Yes: deleteFiles = True else: deleteFiles = False break if deleteFiles == False: #nothing to be done (yet) return if deleteFiles: try: for key in fileNames.keys(): fileName = fileNames[key] if os.path.exists(fileName): os.remove(fileName) except: qt.QMessageBox.critical(self, "Delete Error", "ERROR while deleting file:\n%s"% fileName, qt.QMessageBox.Ok, qt.QMessageBox.NoButton, qt.QMessageBox.NoButton) return try: self._startWork() except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Stack Fitting Error") msg.setText("Error has occured while processing the data") msg.setInformativeText(safe_str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() finally: self.progressBar.hide() self.setEnabled(True) def _startWork(self): self.setEnabled(False) self.progressBar.show() thread = CalculationThread.CalculationThread(parent=self, calculation_method=self.processStack) thread.start() self._total = 100 self._index = 0 while thread.isRunning(): time.sleep(2) qApp = qt.QApplication.instance() qApp.processEvents() self.progressBar.setMaximum(self._total) self.progressBar.setValue(self._index) self.progressBar.hide() self.setEnabled(True) if thread.result is not None: if len(thread.result): raise Exception(*thread.result[1:]) def progressBarUpdate(self, idx, total): self._index = int(idx) self._total = int(total) if idx % 10 == 0: print("Fited %d of %d" % (idx, total)) def threadFinished(self): self.setEnabled(True) if __name__ == "__main__": import numpy from PyMca5.PyMcaMath.fitting import SpecfitFuns from PyMca5.PyMcaMath.fitting import SimpleFitUserEstimatedFunctions as Functions x = numpy.arange(1000.) data = numpy.zeros((50, 1000), numpy.float) #the peaks to be fitted p0 = [100., 300., 50., 200., 500., 30., 300., 800., 65] #generate the data to be fitted for i in range(data.shape[0]): nPeaks = 3 - i % 3 data[i,:] = SpecfitFuns.gauss(p0[:3*nPeaks],x) #the spectrum for setup y = data.sum(axis=0) oldShape = data.shape data.shape = 1,oldShape[0], oldShape[1] app = qt.QApplication([]) w = StackSimpleFitWindow() w.setSpectrum(x, y) w.setData(x, data) #w.importFunctions(Functions.__file__) #w.fitModule.setFitFunction('Gaussians') w.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/EdfFileSimpleViewer.py0000644000276300001750000001244713136054446023032 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() DEBUG = 0 from PyMca5.PyMcaGui import QSourceSelector from PyMca5.PyMcaGui.pymca import QDataSource from PyMca5.PyMcaGui import QEdfFileWidget class EdfFileSimpleViewer(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self.sourceList = [] filetypelist = ["EDF Files (*edf)", "EDF Files (*ccd)", "All Files (*)"] self.sourceSelector = QSourceSelector.QSourceSelector(self, filetypelist = filetypelist) self.sourceSelector.specButton.hide() self.selectorWidget = {} self.selectorWidget[QEdfFileWidget.SOURCE_TYPE] = QEdfFileWidget.\ QEdfFileWidget(self,justviewer=1) self.mainLayout.addWidget(self.sourceSelector) self.mainLayout.addWidget(self.selectorWidget[QEdfFileWidget.SOURCE_TYPE]) self.sourceSelector.sigSourceSelectorSignal.connect( \ self._sourceSelectorSlot) def _sourceSelectorSlot(self, ddict): if DEBUG: print("_sourceSelectorSlot(self, ddict)") print("ddict = ",ddict) if ddict["event"] == "NewSourceSelected": source = QDataSource.QDataSource(ddict["sourcelist"]) self.sourceList.append(source) sourceType = source.sourceType self.selectorWidget[sourceType].setDataSource(source) elif ddict["event"] == "SourceSelected": found = 0 for source in self.sourceList: if source.sourceName == ddict["sourcelist"]: found = 1 break if not found: if DEBUG: print("WARNING: source not found") return sourceType = source.sourceType self.selectorWidget[sourceType].setDataSource(source) elif ddict["event"] == "SourceClosed": found = 0 for source in self.sourceList: if source.sourceName == ddict["sourcelist"]: found = 1 break if not found: if DEBUG: print("WARNING: source not found") return sourceType = source.sourceType del self.sourceList[self.sourceList.index(source)] for source in self.sourceList: if sourceType == source.sourceType: self.selectorWidget[sourceType].setDataSource(source) return #there is no other selection of that type if len(self.sourceList): source = self.sourceList[0] sourceType = source.sourceType self.selectorWidget[sourceType].setDataSource(source) else: self.selectorWidget[sourceType].setDataSource(None) def setFileList(self, filelist): for ffile in filelist: self.sourceSelector.openFile(ffile, justloaded = 1) def main(): import sys import getopt app=qt.QApplication(sys.argv) winpalette = qt.QPalette(qt.QColor(230,240,249),qt.QColor(238,234,238)) app.setPalette(winpalette) options='' longoptions=[] opts, args = getopt.getopt( sys.argv[1:], options, longoptions) for opt,arg in opts: pass filelist=args app.lastWindowClosed.connect(app.quit) w=EdfFileSimpleViewer() if len(filelist): w.setFileList(filelist) w.show() app.exec_() if __name__ == "__main__": main() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/QPyMcaMatplotlibSave1D.py0000644000276300001750000005666613136054446023401 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from PyMca5.PyMcaGui import PyMcaPrintPreview from PyMca5.PyMcaCore import PyMcaDirs from matplotlib import cm from matplotlib import __version__ as matplotlib_version from matplotlib.font_manager import FontProperties if "PyQt5" in sys.modules: import matplotlib matplotlib.rcParams['backend']='Qt5Agg' from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas else: from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas from matplotlib.figure import Figure DEBUG = 0 colordict = {} colordict['blue'] = '#0000ff' colordict['red'] = '#ff0000' colordict['green'] = '#00ff00' colordict['black'] = '#000000' colordict['white'] = '#ffffff' colordict['pink'] = '#ff66ff' colordict['brown'] = '#a52a2a' colordict['orange'] = '#ff9900' colordict['violet'] = '#6600ff' colordict['grey'] = '#808080' colordict['yellow'] = '#ffff00' colordict['darkgreen'] = 'g' colordict['darkbrown'] = '#660000' colordict['magenta'] = 'm' colordict['cyan'] = 'c' colordict['bluegreen'] = '#33ffff' colorlist = [colordict['black'], colordict['red'], colordict['blue'], colordict['green'], colordict['pink'], colordict['brown'], colordict['cyan'], colordict['orange'], colordict['violet'], colordict['bluegreen'], colordict['grey'], colordict['magenta'], colordict['darkgreen'], colordict['darkbrown'], colordict['yellow']] class MatplotlibCurveTable(qt.QTableWidget): sigCurveTableSignal = qt.pyqtSignal(object) def __init__(self, parent=None): qt.QTableWidget.__init__(self, parent) labels = ["Curve", "Alias", "Color", "Line Style", "Line Symbol"] n = len(labels) self.setColumnCount(len(labels)) for i in range(len(labels)): item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(labels[i], qt.QTableWidgetItem.Type) item.setText(labels[i]) self.setHorizontalHeaderItem(i,item) rheight = self.horizontalHeader().sizeHint().height() self.setMinimumHeight(5*rheight) self.labels = labels def setCurveListAndDict(self, curvelist, curvedict): n = len(curvelist) self.setRowCount(n) if n < 1: return rheight = self.horizontalHeader().sizeHint().height() for i in range(n): self.setRowHeight(i, rheight) i = 0 #self.__disconnect = True for legend in curvelist: self.addCurve(i, legend, curvedict[legend]) i += 1 #self.__disconnect = False #self.resizeColumnToContents(0) #self.resizeColumnToContents(3) def addCurve(self, i, legend, ddict): j = 0 widget = self.cellWidget(i, j) if widget is None: widget = CheckBoxItem(self, i, j) self.setCellWidget(i, j, widget) widget.sigCheckBoxItemSignal.connect(self._mySlot) widget.setChecked(True) widget.setText(legend) #alias alias = ddict.get('alias', None) if alias is None: alias = legend j = 1 item = self.item(i, j) if item is None: item = qt.QTableWidgetItem(alias, qt.QTableWidgetItem.Type) item.setTextAlignment(qt.Qt.AlignHCenter | qt.Qt.AlignVCenter) self.setItem(i, j, item) else: item.setText(alias) #item.setFlags(qt.Qt.ItemIsEnabled | qt.Qt.ItemIsSelectable) #color j = 2 widget = self.cellWidget(i, j) if widget is None: options = list(colordict.keys()) options.sort() widget = ComboBoxItem(self, i, j, options=options) self.setCellWidget(i, j, widget) widget.sigComboBoxItemSignal.connect(self._mySlot) color = ddict['color'] if color == 'k': color = '#000000' for key in colordict.keys(): if colordict[key] == color: break idx = widget.findText(key) widget.setCurrentIndex(idx) #linestyle j = 3 widget = self.cellWidget(i, j) options = ['-','--','-.',':',''] if widget is None: widget = ComboBoxItem(self, i, j, options=options) self.setCellWidget(i, j, widget) widget.sigComboBoxItemSignal.connect(self._mySlot) idx = widget.findText(ddict['linestyle']) widget.setCurrentIndex(idx) #line marker j = 4 widget = self.cellWidget(i, j) options = ['','o','+','x','^'] if widget is None: widget = ComboBoxItem(self, i, j, options=options) self.setCellWidget(i, j, widget) widget.sigComboBoxItemSignal.connect(self._mySlot) idx = widget.findText(ddict['linemarker']) widget.setCurrentIndex(idx) def _mySlot(self, ddict): #if self.__disconnect: # return ddict = {} ddict['curvelist'] = [] ddict['curvedict'] = {} for i in range(self.rowCount()): widget = self.cellWidget(i, 0) legend = str(widget.text()) ddict['curvelist'].append(legend) ddict['curvedict'][legend] = {} alias = str(self.item(i, 1).text()) if widget.isChecked(): plot = 1 else: plot = 0 ddict['curvedict'][legend]['plot'] = plot ddict['curvedict'][legend]['alias'] = alias widget = self.cellWidget(i, 2) color = colordict[str(widget.currentText())] ddict['curvedict'][legend]['color'] = color widget = self.cellWidget(i, 3) linestyle = str(widget.currentText()) ddict['curvedict'][legend]['linestyle'] = linestyle widget = self.cellWidget(i, 4) linemarker = str(widget.currentText()) ddict['curvedict'][legend]['linemarker'] = linemarker self.sigCurveTableSignal.emit(ddict) class ComboBoxItem(qt.QComboBox): sigComboBoxItemSignal = qt.pyqtSignal(object) def __init__(self, parent, row, col, options=[1,2,3]): qt.QCheckBox.__init__(self, parent) self.__row = row self.__col = col for option in options: self.addItem(option) self.activated[int].connect(self._mySignal) def _mySignal(self, value): ddict = {} ddict["event"] = "activated" ddict["item"] = value ddict["row"] = self.__row * 1 ddict["col"] = self.__col * 1 self.sigComboBoxItemSignal.emit(ddict) class CheckBoxItem(qt.QCheckBox): sigCheckBoxItemSignal = qt.pyqtSignal(object) def __init__(self, parent, row, col): qt.QCheckBox.__init__(self, parent) self.__row = row self.__col = col self.clicked[bool].connect(self._mySignal) def _mySignal(self, value): ddict = {} ddict["event"] = "clicked" ddict["state"] = value ddict["row"] = self.__row * 1 ddict["col"] = self.__col * 1 self.sigCheckBoxItemSignal.emit(ddict) class QPyMcaMatplotlibSaveDialog(qt.QDialog): def __init__(self, parent=None, **kw): qt.QDialog.__init__(self, parent) self.setWindowTitle("Matplotlib preview - Resize to your taste") self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self._lastGoodSize = None self.axesLabelsWidget = qt.QWidget(self) layout = qt.QHBoxLayout(self.axesLabelsWidget) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(2) xLabelLabel = qt.QLabel(self.axesLabelsWidget) xLabelLabel.setText("X Axis Label: ") self.xLabelLine = qt.QLineEdit(self.axesLabelsWidget) yLabelLabel = qt.QLabel(self.axesLabelsWidget) yLabelLabel.setText("Y Axis Label: ") self.yLabelLine = qt.QLineEdit(self.axesLabelsWidget) layout.addWidget(xLabelLabel) layout.addWidget(self.xLabelLine) layout.addWidget(yLabelLabel) layout.addWidget(self.yLabelLine) self.curveTable = MatplotlibCurveTable(self) self.plot = QPyMcaMatplotlibSave(self, **kw) self.plot.setCurveTable(self.curveTable) self.actionsWidget = qt.QWidget(self) layout = qt.QHBoxLayout(self.actionsWidget) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(2) self.doNotShowAgain = qt.QCheckBox(self.actionsWidget) self.doNotShowAgain.setChecked(False) self.doNotShowAgain.setText("Don't show again this dialog") self.acceptButton = qt.QPushButton(self.actionsWidget) self.acceptButton.setText("Accept") self.acceptButton.setAutoDefault(False) self.dismissButton = qt.QPushButton(self.actionsWidget) self.dismissButton.setText("Dismiss") self.dismissButton.setAutoDefault(False) layout.addWidget(self.doNotShowAgain) layout.addWidget(qt.HorizontalSpacer(self.actionsWidget)) layout.addWidget(self.acceptButton) layout.addWidget(self.dismissButton) horizontal = False if horizontal: self.mainLayout.addWidget(self.axesLabelsWidget, 0, 0) self.mainLayout.addWidget(self.plot, 1, 0) self.mainLayout.addWidget(self.curveTable, 1, 1) self.mainLayout.addWidget(self.actionsWidget, 2, 0, 1, 2) self.mainLayout.setColumnStretch(0, 1) else: self.mainLayout.addWidget(self.axesLabelsWidget, 0, 0) self.mainLayout.addWidget(self.curveTable, 1, 0) self.mainLayout.addWidget(self.plot, 2, 0) self.mainLayout.addWidget(self.actionsWidget, 3, 0) self.mainLayout.setRowStretch(1, 1) self.xLabelLine.editingFinished[()].connect(self._xLabelSlot) self.yLabelLine.editingFinished[()].connect(self._yLabelSlot) self.acceptButton.clicked.connect(self.accept) self.dismissButton.clicked.connect(self.reject) def exec_(self): self.plot.draw() if self.doNotShowAgain.isChecked(): return qt.QDialog.Accepted else: if self._lastGoodSize is not None: self.resize(self._lastGoodSize) return qt.QDialog.exec_(self) def accept(self): self._lastGoodSize = self.size() return qt.QDialog.accept(self) def _xLabelSlot(self): label = self.xLabelLine.text() if sys.version < '3.0': label = str(label) self.plot.setXLabel(label) self.plot.draw() def _yLabelSlot(self): label = self.yLabelLine.text() if sys.version < '3.0': label = str(label) self.plot.setYLabel(label) self.plot.draw() def setXLabel(self, label): self.xLabelLine.setText(label) self.plot.setXLabel(label) def setYLabel(self, label): self.yLabelLine.setText(label) self.plot.setYLabel(label) class QPyMcaMatplotlibSave(FigureCanvas): def __init__(self, parent=None, size = (7,3.5), dpi = 100, logx = False, logy = False, legends = True, bw = False): self.fig = Figure(figsize=size, dpi=dpi) #in inches FigureCanvas.__init__(self, self.fig) FigureCanvas.setSizePolicy(self, qt.QSizePolicy.Expanding, qt.QSizePolicy.Expanding) self.curveTable = None self.dpi=dpi ddict = {'logx':logx, 'logy': logy, 'legends':legends, 'bw':bw} self.ax=None self.curveList = [] self.curveDict = {} self.setParameters(ddict) #self.setBlackAndWhiteEnabled(bw) #self.setLogXEnabled(logx) #self.setLogYEnabled(logy) #self.setLegendsEnabled(legends) self.xmin = None self.xmax = None self.ymin = None self.ymax = None self.limitsSet = False def setCurveTable(self, table): self.curveTable = table self.curveTable.sigCurveTableSignal.connect(self.updateFromTable) def setParameters(self,kw): if 'bw' in kw: self.setBlackAndWhiteEnabled(kw['bw']) if 'logx' in kw: self.setLogXEnabled(kw['logx']) if 'logy' in kw: self.setLogYEnabled(kw['logy']) if 'legends' in kw: self.setLegendsEnabled(kw['legends']) self._dataCounter = 0 self.createAxes() def setBlackAndWhiteEnabled(self, flag): self._bw = flag if self._bw: self.colorList = ['k'] #only black self.styleList = ['-', ':', '-.', '--'] self.nColors = 1 else: self.colorList = colorlist self.styleList = ['-', '-.', ':'] self.nColors = len(colorlist) self._dataCounter = 0 self.nStyles = len(self.styleList) self.colorIndex = 0 self.styleIndex = 0 def setLogXEnabled(self, flag): self._logX = flag def setLogYEnabled(self, flag): self._logY = flag def setLegendsEnabled(self, flag): self._legend = flag self._legendList = [] def createAxes(self): self.fig.clear() if self.ax is not None: self.ax.cla() if not self._legend: if self._logY: ax = self.fig.add_axes([.15, .15, .75, .8]) else: ax = self.fig.add_axes([.15, .15, .75, .75]) else: if self._logY: ax = self.fig.add_axes([.15, .15, .7, .8]) else: ax = self.fig.add_axes([.15, .15, .7, .8]) ax.set_axisbelow(True) self.ax = ax if self._logY: self._axFunction = ax.semilogy else: self._axFunction = ax.plot self._legendList=[] self.curveList = [] self.curveDict = {} def setLimits(self, xmin, xmax, ymin, ymax): self.xmin = xmin self.xmax = xmax self.ymin = ymin self.ymax = ymax self.limitsSet = True def _filterData(self, x, y): index = numpy.flatnonzero((self.xmin <= x) & (x <= self.xmax)&\ (self.ymin <= y) & (y <= self.ymax)) return index def _getColorAndStyle(self): color = self.colorList[self.colorIndex] style = self.styleList[self.styleIndex] self.colorIndex += 1 if self.colorIndex >= self.nColors: self.colorIndex = 0 self.styleIndex += 1 if self.styleIndex >= self.nStyles: self.styleIndex = 0 return color, style def addDataToPlot(self, x, y, legend = None, color = None, linewidth = None, linestyle = None, marker=None, alias = None,**kw): if self.limitsSet is not None: n = self._filterData(x, y) if not len(n): return #x = x[n] #y = y[n] n = max(x.shape) if n == 0: #nothing to plot if DEBUG: print("nothing to plot") return style = None if color is None: color, style = self._getColorAndStyle() if linestyle is None: if style is None: style = '-' else: style = linestyle if marker is None: marker = '' if linewidth is None:linewidth = 1.0 self._axFunction( x, y, linestyle = style, color=color, linewidth = linewidth, **kw) self._dataCounter += 1 if legend is None: #legend = "%02d" % self._dataCounter #01, 02, 03, ... legend = "%c" % (96+self._dataCounter) #a, b, c, .. self._legendList.append(legend) if legend not in self.curveList: self.curveList.append(legend) self.curveDict[legend] = {} self.curveDict[legend]['x'] = x self.curveDict[legend]['y'] = y self.curveDict[legend]['linestyle'] = style self.curveDict[legend]['color'] = color self.curveDict[legend]['linewidth'] = linewidth self.curveDict[legend]['linemarker'] = marker if alias is not None: self.curveDict[legend]['alias'] = alias self._legendList[-1] = alias if self.curveTable is not None: self.curveTable.setCurveListAndDict(self.curveList, self.curveDict) def setXLabel(self, label): self.ax.set_xlabel(label) def setYLabel(self, label): self.ax.set_ylabel(label) def setTitle(self, title): self.ax.set_title(title) def plotLegends(self, legendlist=None): if not self._legend:return if legendlist is None: legendlist = self._legendList if not len(legendlist):return loc = (1.01, 0.0) labelsep = 0.015 drawframe = True fontproperties = FontProperties(size=10) if len(legendlist) > 14: drawframe = False if matplotlib_version < '0.99.0': fontproperties = FontProperties(size=8) loc = (1.05, -0.2) else: if len(legendlist) < 18: #drawframe = True loc = (1.01, 0.0) elif len(legendlist) < 25: loc = (1.05, 0.0) fontproperties = FontProperties(size=8) elif len(legendlist) < 28: loc = (1.05, 0.0) fontproperties = FontProperties(size=6) else: loc = (1.05, -0.1) fontproperties = FontProperties(size=6) if matplotlib_version < '0.99.0': legend = self.ax.legend(legendlist, loc = loc, prop = fontproperties, labelsep = labelsep, pad = 0.15) else: legend = self.ax.legend(legendlist, loc = loc, prop = fontproperties, labelspacing = labelsep, borderpad = 0.15) legend.draw_frame(drawframe) def draw(self): if self.limitsSet: self.ax.set_xlim(self.xmin, self.xmax) self.ax.set_ylim(self.ymin, self.ymax) FigureCanvas.draw(self) def updateFromTable(self, ddict): #for line2D in self.ax.lines: # #label = line2D.get_label() # #if label == legend: # line2D.remove() xlabel = self.ax.get_xlabel() ylabel = self.ax.get_ylabel() if self.limitsSet: xlim = self.ax.get_xlim() ylim = self.ax.get_ylim() self.ax.cla() self.ax.set_xlabel(xlabel) self.ax.set_ylabel(ylabel) if self.limitsSet: self.ax.set_xlim(xlim) self.ax.set_ylim(ylim) legendList = [] curvelist = ddict['curvelist'] for legend in curvelist: if not ddict['curvedict'][legend]['plot']: continue x = self.curveDict[legend]['x'] y = self.curveDict[legend]['y'] alias = ddict['curvedict'][legend]['alias'] linestyle = self.curveDict[legend]['linestyle'] if 0: color = self.curveDict[legend]['color'] else: color = ddict['curvedict'][legend]['color'] linewidth = self.curveDict[legend]['linewidth'] linestyle = ddict['curvedict'][legend]['linestyle'] linemarker = ddict['curvedict'][legend]['linemarker'] if linestyle in ['None', '']: linestyle = '' if linemarker in ['None', '']: linemarker = '' self._axFunction( x, y, linestyle=linestyle, marker=linemarker, color=color, linewidth=linewidth) legendList.append(alias) if self._legend: self.plotLegends(legendList) self.draw() def saveFile(self, filename, format=None): if format is None: format = filename[-3:] if format.upper() not in ['EPS', 'PNG', 'SVG']: raise "Unknown format %s" % format if os.path.exists(filename): os.remove(filename) if self.limitsSet: self.ax.set_ylim(self.ymin, self.ymax) self.ax.set_xlim(self.xmin, self.xmax) #self.plotLegends() self.print_figure(filename, dpi=self.dpi) return if __name__ == "__main__": app = qt.QApplication([]) w0=QPyMcaMatplotlibSaveDialog(legends=True) w=w0.plot x = numpy.arange(1200.) w.setLimits(0, 1200., 0, 12000.) if len(sys.argv) > 2: n = int(sys.argv[2]) else: n = 14 for i in range(n): y = x * i w.addDataToPlot(x, y, legend="%d" % i) #w.setTitle('title') w0.setXLabel('Channel') w0.setYLabel('Counts') w.plotLegends() ret = w0.exec_() if ret: w.saveFile("filename.png") print("Plot filename.png saved") w.setParameters({'logy':True, 'bw':True}) for i in range(n): y = x * i + 1 w.addDataToPlot(x,y, legend="%d" % i) #w.setTitle('title') w.setXLabel('Channel') w.setYLabel('Counts') w.plotLegends() ret = w0.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/RGBCorrelator.py0000644000276300001750000002043713136054446021645 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy from PyMca5.PyMcaGui.pymca import RGBCorrelatorWidget qt = RGBCorrelatorWidget.qt if hasattr(qt, 'QString'): QString = qt.QString else: QString = str from PyMca5.PyMcaGui import RGBCorrelatorGraph from PyMca5.PyMcaGui import QPyMcaMatplotlibSave USE_MASK_WIDGET = False if USE_MASK_WIDGET: from PyMca5.PyMcaGui import MaskImageWidget MATPLOTLIB = True class RGBCorrelator(qt.QWidget): sigRGBCorrelatorSignal = qt.pyqtSignal(object) def __init__(self, parent = None, graph = None, bgrx = True): qt.QWidget.__init__(self, parent) self.setWindowTitle("PyMca RGB Correlator") self.setWindowIcon(qt.QIcon(qt.QPixmap(RGBCorrelatorGraph.IconDict['gioconda16']))) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(6) self.splitter = qt.QSplitter(self) self.splitter.setOrientation(qt.Qt.Horizontal) self.controller = RGBCorrelatorWidget.RGBCorrelatorWidget(self.splitter) self._y1AxisInverted = False self._imageBuffer = None self._matplotlibSaveImage = None standaloneSaving = True if graph is None: if MATPLOTLIB: standaloneSaving = False if USE_MASK_WIDGET: self.graphWidgetContainer = MaskImageWidget.MaskImageWidget(self.splitter, selection=True, imageicons=True, standalonesave=standaloneSaving, profileselection=False, polygon=True) self.graphWidget = self.graphWidgetContainer.graphWidget else: self.graphWidget = RGBCorrelatorGraph.RGBCorrelatorGraph(self.splitter, standalonesave=standaloneSaving) if not standaloneSaving: self.graphWidget.saveToolButton.clicked.connect( \ self._saveToolButtonSignal) self._saveMenu = qt.QMenu() self._saveMenu.addAction(QString("Standard"), self.graphWidget._saveIconSignal) self._saveMenu.addAction(QString("Matplotlib") , self._saveMatplotlibImage) self.graph = self.graphWidget.graph #add flip Icon self.graphWidget.hFlipToolButton.clicked.connect( \ self._hFlipIconSignal) self._handleGraph = True else: self.graph = graph self._handleGraph = False #self.splitter.setStretchFactor(0,1) #self.splitter.setStretchFactor(1,1) self.mainLayout.addWidget(self.splitter) self.reset = self.controller.reset self.addImage = self.controller.addImage self.removeImage = self.controller.removeImage self.addImageSlot = self.controller.addImageSlot self.removeImageSlot = self.controller.removeImageSlot self.replaceImageSlot = self.controller.replaceImageSlot self.setImageShape = self.controller.setImageShape self.update = self.controller.update self.transposeImages = self.controller.transposeImages self.controller.sigRGBCorrelatorWidgetSignal.connect( \ self.correlatorSignalSlot) def _hFlipIconSignal(self): if self._handleGraph: if self.graph.isYAxisInverted(): self.graph.invertYAxis(False) else: self.graph.invertYAxis(True) self.graph.replot() #this is not needed #self.controller.update() return def correlatorSignalSlot(self, ddict): if 'image' in ddict: # keep the image buffer as an array self._imageBuffer = ddict['image'] size = ddict['size'] self._imageBuffer.shape = size[1],size[0],4 self._imageBuffer[:,:,3] = 255 self.graph.addImage(self._imageBuffer) self.graph.replot() def _saveToolButtonSignal(self): self._saveMenu.exec_(self.cursor().pos()) def _saveMatplotlibImage(self): if self._matplotlibSaveImage is None: self._matplotlibSaveImage = QPyMcaMatplotlibSave.SaveImageSetup(None, None) self._matplotlibSaveImage.setWindowTitle("Matplotlib RGBCorrelator") #Qt is BGR while the others are RGB ... # This is not any longer a problem because we do not use PyQwt self._matplotlibSaveImage.setPixmapImage(self._imageBuffer, bgr=False) self._matplotlibSaveImage.show() self._matplotlibSaveImage.raise_() def closeEvent(self, event): ddict = {} ddict['event'] = "RGBCorrelatorClosed" ddict['id'] = id(self) self.controller.close() if self._matplotlibSaveImage is not None: self._matplotlibSaveImage.close() self.sigRGBCorrelatorSignal.emit(ddict) qt.QWidget.closeEvent(self, event) def show(self): if self.controller.isHidden(): self.controller.show() qt.QWidget.show(self) def test(): app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) if 0: graphWidget = RGBCorrelatorGraph.RGBCorrelatorGraph() graph = graphWidget.graph w = RGBCorrelator(graph=graph) else: w = RGBCorrelator() w.resize(800, 600) import getopt options='' longoptions=[] opts, args = getopt.getopt( sys.argv[1:], options, longoptions) for opt,arg in opts: pass filelist=args if len(filelist): try: import DataSource DataReader = DataSource.DataSource except: import EdfFileDataSource DataReader = EdfFileDataSource.EdfFileDataSource for fname in filelist: source = DataReader(fname) for key in source.getSourceInfo()['KeyList']: dataObject = source.getDataObject(key) w.addImage(dataObject.data, os.path.basename(fname)+" "+key) else: print("This is a just test method using 100 x 100 matrices.") print("Run PyMcaPostBatch to have file loading capabilities.") array1 = numpy.arange(10000) array2 = numpy.resize(numpy.arange(10000), (100, 100)) array2 = numpy.transpose(array2) array3 = array1 * 1 w.addImage(array1) w.addImage(array2) w.addImage(array3) w.setImageShape([100, 100]) w.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/StackROIWindow.py0000644000276300001750000001573513136054446022012 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import numpy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import ExternalImagesWindow MaskImageWidget = ExternalImagesWindow.MaskImageWidget from PyMca5.PyMcaMath.PyMcaSciPy.signal import median medfilt2d = median.medfilt2d from PyMca5.PyMcaGui import IconDict class MedianParameters(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QHBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.label = qt.QLabel(self) self.label.setText("Median filter width: ") self.widthSpin = qt.QSpinBox(self) self.widthSpin.setMinimum(1) self.widthSpin.setMaximum(99) self.widthSpin.setValue(1) self.widthSpin.setSingleStep(2) self.mainLayout.addWidget(self.label) self.mainLayout.addWidget(self.widthSpin) class StackROIWindow(ExternalImagesWindow.ExternalImagesWindow): def __init__(self, *var, **kw): original = kw['standalonesave'] kw['standalonesave'] = False ExternalImagesWindow.ExternalImagesWindow.__init__(self, *var, **kw) standalonesave = original if standalonesave: MaskImageWidget.MaskImageWidget.buildStandaloneSaveMenu(self) self.backgroundIcon = qt.QIcon(qt.QPixmap(IconDict["subtract"])) infotext = 'Toggle background image subtraction from current image\n' infotext += 'No action if no background image available.' self.backgroundIcon = qt.QIcon(qt.QPixmap(IconDict["subtract"])) self.backgroundButton = self.graphWidget._addToolButton(\ self.backgroundIcon, self.subtractBackground, infotext, toggle = True, state = False, position = 6) self.buildAndConnectImageButtonBox() self._toggleSelectionMode() self._medianParameters = {'use':True, 'row_width':1, 'column_width':1} self._medianParametersWidget = MedianParameters(self) self._medianParametersWidget.widthSpin.setValue(1) self.layout().addWidget(self._medianParametersWidget) self._medianParametersWidget.widthSpin.valueChanged[int].connect( \ self.setKernelWidth) def setKernelWidth(self, value): kernelSize = numpy.asarray(value) if len(kernelSize.shape) == 0: kernelSize = [kernelSize.item()] * 2 self._medianParameters['row_width'] = kernelSize[0] self._medianParameters['column_width'] = kernelSize[1] self._medianParametersWidget.widthSpin.setValue(int(kernelSize[0])) current = self.slider.value() self.showImage(current, moveslider=False) def subtractBackground(self): current = self.slider.value() self.showImage(current, moveslider=False) def showImage(self, index=0, moveslider=True): if self.imageList is None: return if len(self.imageList) == 0: return backgroundIndex = None if self.backgroundButton.isChecked(): if self.imageNames is not None: i = -1 for imageName in self.imageNames: i += 1 if imageName.lower().endswith('background'): backgroundIndex = i break mfText = self._medianTitle() if backgroundIndex is None: if self.imageNames is None: self.graphWidget.graph.setGraphTitle(mfText+"Image %d" % index) else: self.graphWidget.graph.setGraphTitle(mfText+self.imageNames[index]) self.setImageData(self.imageList[index]) else: # TODO: Should the channel at max. and channel at min. be # recalculated? if self.imageNames is None: self.graphWidget.graph.setGraphTitle(mfText+"Image %d Net" % index) else: self.graphWidget.graph.setGraphTitle(mfText+self.imageNames[index]+ " Net") self.setImageData(self.imageList[index]-\ self.imageList[backgroundIndex]) if moveslider: self.slider.setValue(index) def _medianTitle(self): a = self._medianParameters['row_width'] b = self._medianParameters['column_width'] if max(a, b) > 1: return "MF(%d,%d) " % (a, b) else: return "" def setImageData(self, data, **kw): if self._medianParameters['use']: if max(self._medianParameters['row_width'], self._medianParameters['column_width']) > 1: data = medfilt2d(data,[self._medianParameters['row_width'], self._medianParameters['column_width']]) ExternalImagesWindow.ExternalImagesWindow.setImageData(self, data, **kw) def saveImageList(self, filename=None, imagelist=None, labels=None): if imagelist is None: #only the seen image return MaskImageWidget.MaskImageWidget.saveImageList(self, filename=filename) return ExternalImagesWindow.ExternalImagesWindow.saveImageList(\ filename=filename, imagelist=imagelist, labels=labels) PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/PyMcaImageWindow.py0000644000276300001750000004700513136054446022342 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import numpy import time from PyMca5.PyMcaGui import IconDict from . import RGBImageCalculator qt = RGBImageCalculator.qt QTVERSION = qt.qVersion() from . import RGBCorrelator from PyMca5.PyMcaGui import FrameBrowser USE_BROWSER = True DEBUG = 0 class PyMcaImageWindow(RGBImageCalculator.RGBImageCalculator): def __init__(self, parent = None, name = "PyMca Image Window", correlator = None, scanwindow=None): RGBImageCalculator.RGBImageCalculator.__init__(self, parent, math = False, replace = True, scanwindow=scanwindow) self.setWindowTitle(name) self.correlator = correlator self.ownCorrelator = False #self.mathBox.hide() self.dataObjectsList = [] self.dataObjectsDict = {} self._plotEnabled = True self._externalWidget = None self.setDefaultColormap(2, logflag=True) if USE_BROWSER: self.slider = FrameBrowser.HorizontalSliderWithBrowser(self) else: self.slider = qt.QSlider(self) self.slider.setOrientation(qt.Qt.Horizontal) self.slider.setRange(0, 0) self.mainLayout.addWidget(self.slider) self.slider.valueChanged[int].connect(self._showImageSliderSlot) self.slider.hide() def _connectCorrelator(self): if self.correlator is None: self.ownCorrelator = True self.correlator = RGBCorrelator.RGBCorrelator() self.correlator.setWindowTitle("ImageWindow RGB Correlator") self.sigAddImageClicked.connect(self.correlator.addImageSlot) self.sigRemoveImageClicked.connect(self.correlator.removeImageSlot) self.sigReplaceImageClicked.connect( \ self.correlator.replaceImageSlot) def _addImageClicked(self): if self.correlator is None: self._connectCorrelator() if self._imageData is None: return if self._imageData == []: return if not RGBImageCalculator.RGBImageCalculator._addImageClicked(self): #if self.ownCorrelator: if self.correlator.isHidden(): self.correlator.show() def setDispatcher(self, w): w.sigAddSelection.connect(self._addSelection) w.sigRemoveSelection.connect(self._removeSelection) w.sigReplaceSelection.connect(self._replaceSelection) def _addSelection(self, selectionlist): if DEBUG: print("_addSelection(self, selectionlist)",selectionlist) if type(selectionlist) == type([]): sellist = selectionlist else: sellist = [selectionlist] for sel in sellist: self._xScale = None self._yScale = None source = sel['SourceName'] key = sel['Key'] legend = sel['legend'] #expected form sourcename + scan key #if not "scanselection" in sel: continue #if not sel["scanselection"]:continue #if len(key.split(".")) > 2: continue dataObject = sel['dataobject'] #only two-dimensional selections considered if dataObject.info.get("selectiontype", "1D") != "2D": continue if dataObject.data is None: # This is the SCAN regular mesh case if hasattr(dataObject, "y"): if dataObject.y is not None: dataObject.data = dataObject.y[0] data0 = dataObject.y[0] if len(data0.shape) == 1: #we have to figure out the shape ... if hasattr(dataObject, "x"): if len(dataObject.x) == 2: x0 = dataObject.x[0][:] x0.shape = -1 x1 = dataObject.x[1][:] x1.shape = -1 if abs(x0[1] - x0[0]) < 1.0e-6: nColumns = numpy.argmin(abs(x0-x0[0]) < 1.0e-6) nRows = x1.size / nColumns if nRows!= int(nRows): raise ValueError("2D Selection not understood") transpose = False self._yScale = x0[0], x0[nColumns] - x0[0] self._xScale = x1[0], x1[1] - x1[0] elif abs(x1[1] - x1[0]) < 1.0e-6: nRows = numpy.argmin(abs(x1-x1[0]) < 1.0e-6) nColumns = x0.size / nRows if nColumns != int(nColumns): raise ValueError("2D Selection not understood") transpose = True self._xScale = x0[0], x0[1] - x0[0] self._yScale = x1[0], x1[nRows] - x1[0] else: raise TypeError("2D Selection is not a regular mesh") dataObject.data = numpy.zeros((len(dataObject.y), int(nRows), int(nColumns)), data0.dtype) for yIndex in range(len(dataObject.y)): if transpose: tmpData = numpy.transpose(dataObject.y[yIndex])[:] else: tmpData = dataObject.y[yIndex][:] tmpData.shape = nRows, nColumns dataObject.data[yIndex] = tmpData else: print("Nothing to plot") elif hasattr(dataObject, "x") and (dataObject.x is not None): shape = dataObject.data.shape if len(dataObject.x) == 2: x0 = dataObject.x[0][:] x0.shape = -1 x1 = dataObject.x[1][:] x1.shape = -1 if abs(x0[1] - x0[0]) < 1.0e-6: nColumns = numpy.argmin(abs(x0-x0[0]) < 1.0e-6) nRows = x1.size / nColumns if nRows!= int(nRows): raise ValueError("2D Selection not understood") transpose = False self._yScale = x0[0], x0[nColumns] - x0[0] self._xScale = x1[0], x1[1] - x1[0] elif abs(x1[1] - x1[0]) < 1.0e-6: nRows = numpy.argmin(abs(x1-x1[0]) < 1.0e-6) nColumns = x0.size / nRows if nColumns != int(nColumns): raise ValueError("2D Selection not understood") transpose = True self._xScale = x0[0], x0[1] - x0[0] self._yScale = x1[0], x1[nRows] - x1[0] elif (len(x0) == shape[-2]) and (len(x1) == shape[-1]): self._xScale = x1[0], x1[1] - x1[0] self._yScale = x0[0], x0[1] - x0[0] elif (len(x0) == shape[-1]) and (len(x1) == shape[-2]): self._yScale = x1[0], x1[1] - x1[0] self._xScale = x0[0], x0[1] - x0[0] else: raise TypeError("2D Selection is not a regular mesh") self.dataObjectsList = [legend] self.dataObjectsDict = {legend:dataObject} shape = dataObject.data.shape if len(shape) == 2: self._nImages = 1 self._imageData = dataObject.data if hasattr(dataObject, 'm'): if dataObject.m is not None: for m in dataObject.m: if hasattr(m, "size"): if m.size == self._imageData.size: tmpView = m[:] tmpView.shape = shape self._imageData = self._imageData / tmpView.astype(numpy.float) else: #let numpy raise the appropriate error self._imageData = self._imageData / numpy.float(m) else: self._imageData = self._imageData / numpy.float(m) self.slider.hide() self.setName(legend) else: self._nImages = 1 for dimension in dataObject.data.shape[:-2]: self._nImages *= dimension #This is a problem for dynamic data #dataObject.data.shape = self._nImages, shape[-2], shape[-1] self._imageData = self._getImageDataFromSingleIndex(0) self.slider.setRange(0, self._nImages - 1) self.slider.setValue(0) self.slider.show() self.setName(legend+" 0") if self._plotEnabled: self.plotImage(True) def _getImageDataFromSingleIndex(self, index): legend = self.dataObjectsList[0] dataObject = self.dataObjectsDict[legend] shape = dataObject.data.shape if len(shape) == 2: if index > 0: raise IndexError("Only one image in stack") data = dataObject.data if hasattr(dataObject, 'm'): if dataObject.m is not None: #is a list for m in dataObject.m: data = data / numpy.float(m) return data if len(shape) == 3: data = dataObject.data[index:index+1,:,:] data.shape = data.shape[1:] if hasattr(dataObject, 'm'): if dataObject.m is not None: for m in dataObject.m: if hasattr(m, "size"): if m.size == data.size: tmpView = m[:] tmpView.shape = data.shape data = data / tmpView.astype(numpy.float) else: data = data / numpy.float(m) else: data = data / numpy.float(m) return data #I have to deduce the appropriate indices from the given index #always assuming C order acquisitionShape = dataObject.data.shape[:-2] if len(shape) == 4: j = index % acquisitionShape[-1] i = int(index/(acquisitionShape[-1]*acquisitionShape[-2])) data = dataObject.data[i, j] if hasattr(dataObject, 'm'): if dataObject.m is not None: for m in dataObject.m: if hasattr(m, "size"): if m.size == data.size: tmpView = m[:] tmpView.shape = data.shape data = data / tmpView.astype(numpy.float) else: data = data / numpy.float(m) else: data = data / numpy.float(m) return data raise IndexError("Unhandled dimension") def setPlotEnabled(self, value=True): self._plotEnabled = value if value: if self._imageData is not None: self.plotImage(True) else: self.graphWidget.graph.clear() pass def _removeSelection(self, selectionlist): if DEBUG: print("_removeSelection(self, selectionlist)",selectionlist) if type(selectionlist) == type([]): sellist = selectionlist else: sellist = [selectionlist] for sel in sellist: legend = sel['legend'] if legend in self.dataObjectsList: self.dataObjectsList = [] if legend in self.dataObjectsDict.keys(): self.dataObjectsDict = {} #For the time being I prefer to leave the last image plotted #self._imageData = 0 * self._imageData #self.plotImage(True) def _replaceSelection(self, selectionlist): if DEBUG: print("_replaceSelection(self, selectionlist)",selectionlist) current = self.slider.value() self._addSelection(selectionlist) if current < self._nImages: self.showImage(current, moveslider=False) else: self.showImage(0, moveslider=True) def closeEvent(self, event): if self.ownCorrelator: self.correlator.close() RGBImageCalculator.RGBImageCalculator.closeEvent(self, event) def _showImageSliderSlot(self, index): self.showImage(index, moveslider=False) def showImage(self, index=0, moveslider=True): legend = self.dataObjectsList[0] dataObject = self.dataObjectsDict[legend] self._imageData = self._getImageDataFromSingleIndex(index) self.plotImage(True) txt = "%s %d" % (legend, index) self.setName(txt) if moveslider: self.slider.setValue(index) def plotImage(self, update=True): self.graphWidget.setImageData(self._imageData, xScale=self._xScale, yScale=self._yScale) return self.graphWidget.plotImage(update=update) class TimerLoop: def __init__(self, function = None, period = 1000): self.__timer = qt.QTimer() if function is None: function = self.test self._function = function self.__setThread(function, period) #self._function = function def __setThread(self, function, period): self.__timer = qt.QTimer() self.__timer.timeout[()].connect(function) self.__timer.start(period) def test(self): print("Test function called") if __name__ == "__main__": from PyMca5 import DataObject import weakref import time def buildDataObject(arrayData): dataObject = DataObject.DataObject() dataObject.data = arrayData dataObject.info['selectiontype'] = "2D" dataObject.info['Key'] = id(dataObject) return dataObject def buildSelection(dataObject, name = "image_data0"): key = dataObject.info['Key'] def dataObjectDestroyed(ref, dataObjectKey=key): if DEBUG: print("dataObject distroyed key = %s" % key) dataObjectRef=weakref.proxy(dataObject, dataObjectDestroyed) selection = {} selection['SourceType'] = 'SPS' selection['SourceName'] = 'spec' selection['Key'] = name selection['legend'] = selection['SourceName'] + " "+ name selection['imageselection'] = True selection['dataobject'] = dataObjectRef return selection a = 1000 b = 1000 period = 1000 x1 = numpy.arange(a * b).astype(numpy.float) x1.shape= [a, b] x2 = numpy.transpose(x1) app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) if len(sys.argv) > 1:PYMCA=True else:PYMCA = False if PYMCA: from PyMca5.PyMcaGui import PyMcaMain w = PyMcaMain.PyMcaMain() w.show() else: w = PyMcaImageWindow() w.show() counter = 0 def function(period = period): global counter flag = counter % 6 if flag == 0: #add x1 print("Adding X1") dataObject = buildDataObject(x1) selection = buildSelection(dataObject, 'X1') if PYMCA: w.dispatcherAddSelectionSlot(selection) else: w._addSelection(selection) elif flag == 1: #add x2 print("Adding X2") dataObject = buildDataObject(x2) selection = buildSelection(dataObject, 'X2') if PYMCA: w.dispatcherAddSelectionSlot(selection) else: w._addSelection(selection) elif flag == 2: #add x1 print("Changing X1") dataObject = buildDataObject(x2) selection = buildSelection(dataObject, 'X1') if PYMCA: w.dispatcherAddSelectionSlot(selection) else: w._addSelection(selection) elif flag == 1: #add x2 print("Changing X2") dataObject = buildDataObject(x2) selection = buildSelection(dataObject, 'X1') if PYMCA: w.dispatcherAddSelectionSlot(selection) else: w._addSelection(selection) elif flag == 4: #replace x1 print("Replacing by new X1") dataObject = buildDataObject(x1-x2) selection = buildSelection(dataObject, 'X1') if PYMCA: w.dispatcherReplaceSelectionSlot(selection) else: w._replaceSelection(selection) else: #replace by x2 print("Replacing by new X2") dataObject = buildDataObject(x2-x1) selection = buildSelection(dataObject, 'X2') if PYMCA: w.dispatcherReplaceSelectionSlot(selection) else: w._replaceSelection(selection) counter += 1 loop = TimerLoop(function = function, period = period) sys.exit(app.exec_()) PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/McaCustomEvent.py0000644000276300001750000000422313136054446022066 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() if QTVERSION < '4.0': QT4 = False else: QT4 = True if QT4: MCAEVENT = qt.QEvent.User #MCAEVENT = 12345 class McaCustomEvent(qt.QEvent): def __init__(self, ddict={}): self.dict = ddict qt.QEvent.__init__(self, MCAEVENT) def type(self): return MCAEVENT else: #MCAEVENT = qt.QUserEvent + 1 MCAEVENT = 12345 class McaCustomEvent(qt.QCustomEvent): def __init__(self, dict={}): qt.QCustomEvent.__init__(self, MCAEVENT) self.dict = dict PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/ScanWindowInfoWidget.py0000644000276300001750000003610713136054446023233 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import numpy from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() """ This module implements an info widget containing : - source name, scan name - h,k,l infos - peak, peak position - fwhm, center of fwhm - center of mass """ DEBUG=0 STATISTICS=1 class SpecArithmetic(object): """ This class tries to mimic SPEC operations. Correct peak positions and fwhm information have to be made via a fit. """ def search_peak(self, xdata, ydata): """ Search a peak and its position in arrays xdata ad ydata. Return three integer: - peak position - peak value - index of peak position in array xdata This result may accelerate the fwhm search. """ ydata = numpy.array(ydata, copy=False) ymax = ydata[numpy.isfinite(ydata)].max() idx = self.__give_index(ymax, ydata) return xdata[idx], ymax, idx def search_com(self, xdata,ydata): """ Return the center of mass in arrays xdata and ydata """ num = numpy.sum(xdata*ydata) denom = numpy.sum(ydata) if abs(denom) > 0: result = num/denom else: result = 0 return result def search_fwhm(self, xdata,ydata,peak=None,index=None): """ Search a fwhm and its center in arrays xdata and ydatas. If no fwhm is found, (0,0) is returned. peak and index which are coming from search_peak result, may accelerate calculation """ if peak is None or index is None: x,mypeak,index_peak = self.search_peak(xdata,ydata) else: mypeak = peak index_peak = index hm = mypeak/2 idx = index_peak try: while ydata[idx] >= hm: idx = idx-1 x0 = float(xdata[idx]) x1 = float(xdata[idx+1]) y0 = float(ydata[idx]) y1 = float(ydata[idx+1]) lhmx = (hm*(x1-x0) - (y0*x1)+(y1*x0)) / (y1-y0) except ZeroDivisionError: lhmx = 0 except IndexError: lhmx = xdata[0] idx = index_peak try: while ydata[idx] >= hm: idx = idx+1 x0 = float(xdata[idx-1]) x1 = float(xdata[idx]) y0 = float(ydata[idx-1]) y1 = float(ydata[idx]) uhmx = (hm*(x1-x0) - (y0*x1)+(y1*x0)) / (y1-y0) except ZeroDivisionError: uhmx = 0 except IndexError: uhmx = xdata[-1] FWHM = uhmx - lhmx CFWHM = (uhmx+lhmx)/2 return FWHM,CFWHM def __give_index(self, elem,array): """ Return the index of elem in array """ mylist = array.tolist() return mylist.index(elem) class HKL(qt.QWidget): def __init__(self, parent = None, h= "", k= "", l=""): qt.QWidget.__init__(self, parent) layout = qt.QHBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(2) hlabel = qt.QLabel(self) hlabel.setText('H:') self.h = qt.QLineEdit(self) self.h.setReadOnly(True) width = self.h.fontMetrics().width('##.####') self.h.setFixedWidth(width) klabel = qt.QLabel(self) klabel.setText('K:') self.k = qt.QLineEdit(self) self.k.setReadOnly(True) self.k.setFixedWidth(width) llabel = qt.QLabel(self) llabel.setText('L:') self.l = qt.QLineEdit(self) self.l.setReadOnly(True) self.l.setFixedWidth(width) self.setHKL(h, k, l) layout.addWidget(hlabel) layout.addWidget(self.h) layout.addWidget(klabel) layout.addWidget(self.k) layout.addWidget(llabel) layout.addWidget(self.l) def setHKL(self, h="", k="", l=""): dformat = "%.4f" if type(h) == type (""): self.h.setText(h) else: self.h.setText(dformat % h) if type(k) == type (""): self.k.setText(k) else: self.k.setText(dformat % k) if type(l) == type (""): self.l.setText(l) else: self.l.setText(dformat % l) class GraphInfoWidget(qt.QWidget): def __init__(self, parent): qt.QWidget.__init__(self, parent) layout = qt.QGridLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(2) #peak peak = qt.QLabel(self) peak.setText("Peak: ") self.peak = qt.QLineEdit(self) self.peak.setReadOnly(True) hboxPeak = qt.QWidget(self) hboxPeak.l = qt.QHBoxLayout(hboxPeak) hboxPeak.l.setContentsMargins(0, 0, 0, 0) hboxPeak.l.setSpacing(0) peakAt = qt.QLabel(hboxPeak) peakAt.setText(" at:") self.peakAt = qt.QLineEdit(hboxPeak) self.peak.setReadOnly(True) hboxPeak.l.addWidget(peakAt) hboxPeak.l.addWidget(self.peakAt) #fwhm fwhm = qt.QLabel(self) fwhm.setText("Fwhm: ") self.fwhm = qt.QLineEdit(self) self.fwhm.setReadOnly(True) hboxFwhm = qt.QWidget(self) hboxFwhm.l = qt.QHBoxLayout(hboxFwhm) hboxFwhm.l.setContentsMargins(0, 0, 0, 0) hboxFwhm.l.setSpacing(0) fwhmAt = qt.QLabel(hboxFwhm) fwhmAt.setText(" at:") self.fwhmAt = qt.QLineEdit(hboxFwhm) self.fwhm.setReadOnly(True) hboxFwhm.l.addWidget(fwhmAt) hboxFwhm.l.addWidget(self.fwhmAt) #statistics #COM com = qt.QLabel(self) com.setText("COM:") self.com = qt.QLineEdit(self) self.com.setReadOnly(True) #mean mean = qt.QLabel(self) mean.setText("Mean:") self.mean = qt.QLineEdit(self) self.mean.setReadOnly(True) #STD std = qt.QLabel(self) std.setText("STD:") self.std = qt.QLineEdit(self) self.std.setReadOnly(True) #Max maximum = qt.QLabel(self) maximum.setText("Max:") self.maximum= qt.QLineEdit(self) self.maximum.setReadOnly(True) #mean minimum = qt.QLabel(self) minimum.setText("Min:") self.minimum= qt.QLineEdit(self) self.minimum.setReadOnly(True) #STD delta = qt.QLabel(self) delta.setText("Delta:") self.delta = qt.QLineEdit(self) self.delta.setReadOnly(True) layout.addWidget(peak, 0, 0) layout.addWidget(self.peak, 0, 1) layout.addWidget(hboxPeak, 0, 2) layout.addWidget(com, 0, 3) layout.addWidget(self.com, 0, 4) layout.addWidget(mean, 0, 5) layout.addWidget(self.mean, 0, 6) layout.addWidget(std, 0, 7) layout.addWidget(self.std, 0, 8) layout.addWidget(fwhm, 1, 0) layout.addWidget(self.fwhm, 1, 1) layout.addWidget(hboxFwhm, 1, 2) layout.addWidget(maximum, 1, 3) layout.addWidget(self.maximum, 1, 4) layout.addWidget(minimum, 1, 5) layout.addWidget(self.minimum, 1, 6) layout.addWidget(delta, 1, 7) layout.addWidget(self.delta, 1, 8) self.specArithmetic = SpecArithmetic() def updateFromDataObject(self, dataObject): ydata = numpy.ravel(dataObject.y[0]) ylen = len(ydata) if ylen: if dataObject.x is None: xdata = numpy.arange(ylen).astype(numpy.float) elif not len(dataObject.x): xdata = numpy.arange(ylen).astype(numpy.float) else: xdata = numpy.ravel(dataObject.x[0]) else: xdata = None self.updateFromXY(xdata, ydata) def updateFromXY(self, xdata, ydata): if len(ydata): peakpos,peak,myidx = self.specArithmetic.search_peak(xdata,ydata) com = self.specArithmetic.search_com(xdata,ydata) fwhm,cfwhm = self.specArithmetic.search_fwhm(xdata,ydata, peak=peak,index=myidx) ymax = max(ydata) ymin = min(ydata) ymean = sum(ydata) / len(ydata) if len(ydata) > 1: ystd = numpy.sqrt(sum((ydata-ymean)*(ydata-ymean))/len(ydata)) else: ystd = 0 delta = ymax - ymin fformat = "%.7g" peakpos = fformat % peakpos peak = fformat % peak myidx = "%d" % myidx com = fformat % com fwhm = fformat % fwhm cfwhm = fformat % cfwhm ymean = fformat % ymean ystd = fformat % ystd ymax = fformat % ymax ymin = fformat % ymin delta = fformat % delta else: peakpos = "----" peak = "----" myidx = "----" com = "----" fwhm = "----" cfwhm = "----" ymean = "----" ystd = "----" ymax = "----" ymin = "----" delta = "----" self.peak.setText(peak) self.peakAt.setText(peakpos) self.fwhm.setText(fwhm) self.fwhmAt.setText(cfwhm) self.com.setText(com) self.mean.setText(ymean) self.std.setText(ystd) self.minimum.setText(ymin) self.maximum.setText(ymax) self.delta.setText(delta) def getInfo(self): ddict={} ddict['peak'] = self.peak.text() ddict['peakat'] = self.peakAt.text() ddict['fwhm'] = self.fwhm.text() ddict['fwhmat'] = self.fwhmAt.text() ddict['com'] = self.com.text() ddict['mean'] = self.mean.text() ddict['std'] = self.std.text() ddict['min'] = self.minimum.text() ddict['max'] = self.maximum.text() ddict['delta'] = self.delta.text() return ddict class ScanInfoWidget(qt.QWidget): def __init__(self, parent = None): qt.QWidget.__init__(self, parent) layout = qt.QGridLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(2) #scan info hBox = qt.QWidget(self) hBoxLayout = qt.QHBoxLayout(hBox) hBoxLayout.setContentsMargins(0, 0, 0, 0) hBoxLayout.setSpacing(0) sourceLabel = qt.QLabel(hBox) sourceLabel.setText('Source:') self.sourceLabel = qt.QLineEdit(hBox) self.sourceLabel.setReadOnly(True) hBoxLayout.addWidget(sourceLabel) hBoxLayout.addWidget(self.sourceLabel) scanLabel = qt.QLabel(self) scanLabel.setText('Scan: ') self.scanLabel = qt.QLineEdit(self) self.scanLabel.setReadOnly(True) self.hkl = HKL(self) layout.addWidget(hBox, 0, 0, 1, 7) #layout.addWidget(self.sourceLabel, 0, 1)#, 1, 9) layout.addWidget(scanLabel, 1, 0) layout.addWidget(self.scanLabel, 1, 1) layout.addWidget(self.hkl, 1, 4, 1, 3) def updateFromDataObject(self, dataObject): info = dataObject.info source = info.get('SourceName', None) if source is None: self.sourceLabel.setText("") else: if type(source) == type(""): self.sourceLabel.setText(source) else: self.sourceLabel.setText(source[0]) scan = info.get('Header', None) if scan is None: scan = "" if "envdict" in info: scan = info["envdict"].get('title', "") self.scanLabel.setText(scan) else: self.scanLabel.setText(scan[0]) hkl = info.get('hkl', None) if hkl is None: self.hkl.setHKL("----", "----", "----") else: self.hkl.setHKL(*hkl) def getInfo(self): ddict = {} ddict['source'] = self.sourceLabel.text() ddict['scan'] = self.scanLabel.text() ddict['hkl'] = ["%s" % self.hkl.h.text(), "%s" % self.hkl.k.text(), "%s" % self.hkl.l.text()] return ddict class ScanWindowInfoWidget(qt.QWidget): def __init__(self, parent = None): qt.QWidget.__init__(self, parent) layout = qt.QVBoxLayout(self) layout.setContentsMargins(2, 2, 2, 2) layout.setSpacing(2) self.scanInfo = ScanInfoWidget(self) self.graphInfo = GraphInfoWidget(self) layout.addWidget(self.scanInfo) layout.addWidget(self.graphInfo) #print "hiding graph info" #self.graphInfo.hide() def updateFromDataObject(self, dataObject): self.scanInfo.updateFromDataObject(dataObject) self.graphInfo.updateFromDataObject(dataObject) def getInfo(self): ddict = {} ddict['scan'] = self.scanInfo.getInfo() ddict['graph'] = self.graphInfo.getInfo() return ddict def test(): app = qt.QApplication([]) w = ScanWindowInfoWidget() app.lastWindowClosed.connect(app.quit) """ winfo.grid(sticky='wesn') if STATISTICS: winfo.configure(h=65,k=45621,l=32132,peak=6666876, fwhm=0.2154,com=544, ymax=10.,ymin=4,ystd=1,ymean=5) else: winfo.configure(h=65,k=45621,l=32132,peak=6666876, fwhm=0.2154,com=544) """ w.show() app.exec_() if __name__ == '__main__': test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/ChangeLog.py0000644000276300001750000000471313136054446021024 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os from PyMca5 import PyMcaDataDir from PyMca5.PyMcaGui import PyMcaQt as qt class ChangeLog(qt.QTextDocument): def __init__(self, parent=None, textfile = None): qt.QTextDocument.__init__(self, parent) if textfile is not None: self.setTextFile(textfile) def setTextFile(self, textfile): if not os.path.exists(textfile): textfile = os.path.join(PyMcaDataDir.PYMCA_DATA_DIR, textfile) f = open(textfile) lines = f.readlines() f.close() text = "" for line in lines: text += "%s" % line self.setPlainText(text) def test(): app = qt.QApplication([]) w = qt.QTextEdit() if len(sys.argv) > 1: log = ChangeLog(textfile=sys.argv[-1]) else: log = ChangeLog(textfile='changelog.txt') w.setDocument(log) w.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/RGBCorrelatorSlider.py0000644000276300001750000001741513136054446023012 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import DoubleSlider qt = DoubleSlider.qt QTVERSION = qt.qVersion() DEBUG = 0 class RGBCorrelatorSlider(qt.QWidget): sigRGBCorrelatorSliderSignal = qt.pyqtSignal(object) def __init__(self, parent = None, scale = False, autoscalelimits=None): qt.QWidget.__init__(self, parent) self.__emitSignals = True self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self._buttonBox = qt.QWidget(self) self._buttonBoxLayout = qt.QGridLayout(self._buttonBox) self._buttonBoxLayout.setContentsMargins(0, 0, 0, 0) self._buttonBoxLayout.setSpacing(0) if autoscalelimits is None: self.fromA = 5.0 self.toB = 95.0 else: self.fromA = autoscalelimits[0] self.toB = autoscalelimits[1] if self.fromA > self.toB: self.fromA = autoscalelimits[1] self.toB = autoscalelimits[0] self.autoScaleButton = qt.QPushButton(self._buttonBox) self.autoScaleButton.setText("Autoscale") self.autoScaleFromAToBButton = qt.QPushButton(self._buttonBox) self.autoScaleFromAToBButton.setText("Autoscale %d-%d" % (int(self.fromA), int(self.toB))) self.autoScale90Button = qt.QPushButton(self._buttonBox) self.autoScale90Button.setText("Autoscale 0-90") self._buttonBoxLayout.addWidget(self.autoScaleButton, 0, 0) self._buttonBoxLayout.addWidget(self.autoScaleFromAToBButton, 0, 1) self._buttonBoxLayout.addWidget(self.autoScale90Button, 0, 2) self._gridBox = qt.QWidget(self) self._gridBoxLayout = qt.QGridLayout(self._gridBox) self._gridBoxLayout.setContentsMargins(0, 0, 0, 0) self._gridBoxLayout.setSpacing(0) redLabel = MyQLabel(self._gridBox, color = qt.Qt.red) redLabel.setText("RED") self.redSlider = DoubleSlider.DoubleSlider(self._gridBox) greenLabel = MyQLabel(self._gridBox, color = qt.Qt.green) greenLabel.setText("GREEN") self.greenSlider = DoubleSlider.DoubleSlider(self._gridBox) blueLabel = MyQLabel(self._gridBox, color = qt.Qt.blue) blueLabel.setText("BLUE") self.blueSlider = DoubleSlider.DoubleSlider(self._gridBox, scale = True) self._gridBoxLayout.addWidget(redLabel, 0, 0) self._gridBoxLayout.addWidget(self.redSlider, 0, 1) self._gridBoxLayout.addWidget(greenLabel, 1, 0) self._gridBoxLayout.addWidget(self.greenSlider, 1, 1) self._gridBoxLayout.addWidget(blueLabel, 2, 0) self._gridBoxLayout.addWidget(self.blueSlider, 2, 1) self.mainLayout.addWidget(self._buttonBox) self.mainLayout.addWidget(self._gridBox) self.redSlider.sigDoubleSliderValueChanged.connect(\ self._redSliderChanged) self.greenSlider.sigDoubleSliderValueChanged.connect(\ self._greenSliderChanged) self.blueSlider.sigDoubleSliderValueChanged.connect(\ self._blueSliderChanged) self.autoScaleButton.clicked.connect(self.autoScale) self.autoScaleFromAToBButton.clicked.connect(self.autoScaleFromAToB) self.autoScale90Button.clicked.connect(self.autoScale90) def autoScale(self): self.__emitSignals = False self.redSlider.setMinMax(0., 100.) self.greenSlider.setMinMax(0.0, 100.) self.blueSlider.setMinMax(0., 100.) self.__emitSignals = True self._allChangedSignal() def autoScaleFromAToB(self): self.__emitSignals = False self.redSlider.setMinMax( self.fromA, self.toB) self.greenSlider.setMinMax(self.fromA, self.toB) self.blueSlider.setMinMax(self.fromA, self.toB) self.__emitSignals = True self._allChangedSignal() def autoScale90(self): self.__emitSignals = False self.redSlider.setMinMax(0., 90.) self.greenSlider.setMinMax(0.0, 90.) self.blueSlider.setMinMax(0., 90.) self.__emitSignals = True self._allChangedSignal() def _allChangedSignal(self): ddict = {} ddict['event'] = "allChanged" ddict['red'] = self.redSlider.getMinMax() ddict['green'] = self.greenSlider.getMinMax() ddict['blue'] = self.blueSlider.getMinMax() self.sigRGBCorrelatorSliderSignal.emit(ddict) def _redSliderChanged(self, ddict): if DEBUG: print("RGBCorrelatorSlider._redSliderChanged()") if self.__emitSignals: ddict['event'] = "redChanged" self.sigRGBCorrelatorSliderSignal.emit(ddict) def _greenSliderChanged(self, ddict): if DEBUG: print("RGBCorrelatorSlider._greenSliderChanged()") if self.__emitSignals: ddict['event'] = "greenChanged" self.sigRGBCorrelatorSliderSignal.emit(ddict) def _blueSliderChanged(self, ddict): if DEBUG: print("RGBCorrelatorSlider._blueSliderChanged()") if self.__emitSignals: ddict['event'] = "blueChanged" self.sigRGBCorrelatorSliderSignal.emit(ddict) class MyQLabel(qt.QLabel): def __init__(self,parent=None,name=None,fl=0,bold=True, color= qt.Qt.red): qt.QLabel.__init__(self,parent) if qt.qVersion() <'4.0.0': self.color = color self.bold = bold else: palette = self.palette() role = self.foregroundRole() palette.setColor(role,color) self.setPalette(palette) self.font().setBold(bold) if qt.qVersion() < '4.0.0': def drawContents(self, painter): painter.font().setBold(self.bold) pal =self.palette() pal.setColor(qt.QColorGroup.Foreground,self.color) self.setPalette(pal) qt.QLabel.drawContents(self,painter) painter.font().setBold(0) def test(): app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) def slot(ddict): print("received dict = ", ddict) w = RGBCorrelatorSlider() w.sigRGBCorrelatorSliderSignal.connect(slot) w.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/XMCDWindow.py0000644000276300001750000023655613136054446021134 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2017 T. Rueter, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "Tonn Rueter - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import numpy, copy import sys from os.path import splitext, basename, dirname, exists, join as pathjoin from PyMca5.PyMcaGui import IconDict from PyMca5 import PyMcaDirs from PyMca5.PyMcaGui import PyMcaFileDialogs from PyMca5.PyMcaIO import ConfigDict from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaIO import specfilewrapper as specfile from PyMca5 import PyMcaDataDir from PyMca5.PyMcaGui import ScanWindow as sw if hasattr(qt, "QString"): QString = qt.QString QStringList = qt.QStringList else: QString = str QStringList = list DEBUG = 0 if DEBUG: numpy.set_printoptions(threshold=50) NEWLINE = '\n' class TreeWidgetItem(qt.QTreeWidgetItem): __legendColumn = 1 def __init__(self, parent, itemList): qt.QTreeWidgetItem.__init__(self, parent, itemList) def __lt__(self, other): col = self.treeWidget().sortColumn() val = self.text(col) valOther = other.text(col) if val == '---': ret = True elif col > self.__legendColumn: try: ret = (float(val) < float(valOther)) except ValueError: ret = qt.QTreeWidgetItem.__lt__(self, other) else: ret = qt.QTreeWidgetItem.__lt__(self, other) return ret class XMCDOptions(qt.QDialog): def __init__(self, parent, mList, full=True): qt.QDialog.__init__(self, parent) self.setWindowTitle('XLD/XMCD Options') self.setModal(True) self.motorList = mList self.saved = False # Buttons buttonOK = qt.QPushButton('OK') buttonOK.setToolTip('Accept the configuration') buttonCancel = qt.QPushButton('Cancel') buttonCancel.setToolTip('Return to XMCD Analysis\nwithout changes') if full: buttonSave = qt.QPushButton('Save') buttonSave.setToolTip('Save configuration to *.cfg-File') buttonLoad = qt.QPushButton('Load') buttonLoad.setToolTip('Load existing configuration from *.cfg-File') # OptionLists and ButtonGroups # GroupBox can be generated from self.getGroupBox normOpts = ['No &normalization', 'Normalize &after average', 'Normalize &before average'] xrangeOpts = ['&First curve in sequence', 'Active &curve', '&Use equidistant x-range'] # ButtonGroups normBG = qt.QButtonGroup(self) xrangeBG = qt.QButtonGroup(self) # ComboBoxes normMeth = qt.QComboBox() normMeth.addItems(['(y-min(y))/trapz(max(y)-min(y),x)', 'y/max(y)', '(y-min(y))/(max(y)-min(y))', '(y-min(y))/sum(max(y)-min(y))']) normMeth.setEnabled(False) self.optsDict = { 'normalization' : normBG, 'normalizationMethod' : normMeth, 'xrange' : xrangeBG } for idx in range(5): # key: motor0, motor1, ... key = 'motor%d'%idx tmp = qt.QComboBox() tmp.addItems(mList) self.optsDict[key] = tmp # Subdivide into GroupBoxes normGroupBox = self.getGroupBox('Normalization', normOpts, normBG) xrangeGroupBox = self.getGroupBox('Interpolation x-range', xrangeOpts, xrangeBG) motorGroupBox = qt.QGroupBox('Motors') # Layouts mainLayout = qt.QVBoxLayout() buttonLayout = qt.QHBoxLayout() normLayout = qt.QHBoxLayout() motorLayout = qt.QGridLayout() if full: buttonLayout.addWidget(buttonSave) buttonLayout.addWidget(buttonLoad) buttonLayout.addWidget(qt.HorizontalSpacer()) buttonLayout.addWidget(buttonOK) buttonLayout.addWidget(buttonCancel) normLayout.addWidget(qt.QLabel('Method:')) normLayout.addWidget(normMeth) for idx in range(5): label = qt.QLabel('Motor %d:'%(idx+1)) cbox = self.optsDict['motor%d'%idx] motorLayout.addWidget(label,idx,0) motorLayout.addWidget(cbox,idx,1) motorGroupBox.setLayout(motorLayout) normGroupBox.layout().addLayout(normLayout) mainLayout.addWidget(normGroupBox) mainLayout.addWidget(xrangeGroupBox) mainLayout.addWidget(motorGroupBox) mainLayout.addLayout(buttonLayout) self.setLayout(mainLayout) # Connects if full: buttonOK.clicked.connect(self.accept) else: buttonOK.clicked.connect(self._saveOptionsAndCloseSlot) buttonCancel.clicked.connect(self.close) if full: buttonSave.clicked.connect(self._saveOptionsSlot) buttonLoad.clicked.connect(self._loadOptionsSlot) # Keep normalization method selector disabled # when 'no normalization' selected normBG.button(0).toggled.connect(normMeth.setDisabled) def showEvent(self, event): # Plugin does not destroy Options Window when accepted # Reset self.saved manually self.saved = False qt.QDialog.showEvent(self, event) def updateMotorList(self, mList): for (key, obj) in self.optsDict.items(): if key.startswith('motor') and isinstance(obj, qt.QComboBox): curr = obj.currentText() obj.clear() obj.addItems(mList) idx = obj.findText(curr) if idx < 0: obj.setCurrentIndex(idx) else: # Motor not found in Motorlist, set to default obj.setCurrentIndex(idx) def getGroupBox(self, title, optionList, buttongroup=None): """ title : string optionList : List of strings buttongroup : qt.QButtonGroup Returns ------- GroupBox of QRadioButtons build from a given optionList. If buttongroup is specified, the buttons are organized in a QButtonGroup. """ first = True groupBox = qt.QGroupBox(title, None) gbLayout = qt.QVBoxLayout(None) gbLayout.addStretch(1) for (idx, radioText) in enumerate(optionList): radio = qt.QRadioButton(radioText) gbLayout.addWidget(radio) if buttongroup: buttongroup.addButton(radio, idx) if first: radio.setChecked(True) first = False groupBox.setLayout(gbLayout) return groupBox def normalizationMethod(self, ident): ret = None normDict = { 'toMaximum' : r'y/max(y)', 'offsetAndMaximum': r'(y-min(y))/(max(y)-min(y))', 'offsetAndCounts' : r'(y-min(y))/sum(max(y)-min(y))', 'offsetAndArea' : r'(y-min(y))/trapz(max(y)-min(y),x)' } for (name, eq) in normDict.items(): if ident == name: return eq if ident == eq: return name raise ValueError("'%s' not found.") def _saveOptionsAndCloseSlot(self): return self.saveOptionsAndClose() def saveOptionsAndClose(self): if not self.saved: if not self.saveOptions(): return self.accept() def _saveOptionsSlot(self): return self.saveOptions() def saveOptions(self, filename=None): saveDir = PyMcaDirs.outputDir filter = ['PyMca (*.cfg)'] if filename is None: try: filename = PyMcaFileDialogs.\ getFileList(parent=self, filetypelist=filter, message='Save XLD/XMCD Analysis Configuration', mode='SAVE', single=True)[0] except IndexError: # Returned list is empty return if DEBUG: print('saveOptions -- Filename: "%s"' % filename) if len(filename) == 0: self.saved = False return False if not str(filename).endswith('.cfg'): filename += '.cfg' confDict = ConfigDict.ConfigDict() tmp = self.getOptions() for (key, value) in tmp.items(): if key.startswith('Motor') and len(value) == 0: tmp[key] = 'None' confDict['XMCDOptions'] = tmp try: confDict.write(filename) except IOError: msg = qt.QMessageBox() msg.setWindowTitle('XLD/XMCD Options Error') msg.setText('Unable to write configuration to \'%s\''%filename) msg.exec_() self.saved = True return True def _loadOptionsSlot(self): return self.loadOptions() def loadOptions(self): openDir = PyMcaDirs.outputDir ffilter = 'PyMca (*.cfg)' filename = qt.QFileDialog.\ getOpenFileName(self, 'Load XLD/XMCD Analysis Configuration', openDir, ffilter) confDict = ConfigDict.ConfigDict() try: confDict.read(filename) except IOError: msg = qt.QMessageBox() msg.setTitle('XMCD Options Error') msg.setText('Unable to read configuration file \'%s\''%filename) return if 'XMCDOptions'not in confDict: return try: self.setOptions(confDict['XMCDOptions']) except ValueError as e: if DEBUG: print('loadOptions -- int conversion failed:',) print('Invalid value for option \'%s\'' % e) else: msg = qt.QMessageBox() msg.setWindowTitle('XMCD Options Error') msg.setText('Configuration file \'%s\' corruted' % filename) msg.exec_() return except KeyError as e: if DEBUG: print('loadOptions -- invalid identifier:',) print('option \'%s\' not found' % e) else: msg = qt.QMessageBox() msg.setWindowTitle('XMCD Options Error') msg.setText('Configuration file \'%s\' corruted' % filename) msg.exec_() return self.saved = True def getOptions(self): ddict = {} for (option, obj) in self.optsDict.items(): if isinstance(obj, qt.QButtonGroup): ddict[option] = obj.checkedId() elif isinstance(obj, qt.QComboBox): tmp = str(obj.currentText()) if option == 'normalizationMethod': tmp = self.normalizationMethod(tmp) if option.startswith('motor') and (not len(tmp)): tmp = 'None' ddict[option] = tmp else: ddict[option] = 'None' return ddict def getMotors(self): motors = sorted([key for key in self.optsDict.keys()\ if key.startswith('motor')]) return [str(self.optsDict[motor].currentText()) \ for motor in motors] def setOptions(self, ddict): for option in ddict.keys(): obj = self.optsDict[option] if isinstance(obj, qt.QComboBox): name = ddict[option] if option == 'normalizationMethod': name = self.normalizationMethod(name) if option.startswith('Motor') and name == 'None': name = '' idx = obj.findText(QString(name)) obj.setCurrentIndex(idx) elif isinstance(obj, qt.QButtonGroup): try: idx = int(ddict[option]) except ValueError: raise ValueError(option) button = self.optsDict[option].button(idx) if type(button) == type(qt.QRadioButton()): button.setChecked(True) class XMCDScanWindow(sw.ScanWindow): xmcdToolbarOptions = { 'logx': False, 'logy': False, 'flip': False, 'fit': False, 'roi': False, } plotModifiedSignal = qt.pyqtSignal() saveOptionsSignal = qt.pyqtSignal('QString') def __init__(self, origin, parent=None): """ :param origin: Plot window containing the data on which the analysis is performed :type origin: ScanWindow :param parent: Parent Widget, None per default :type parent: QWidget """ sw.ScanWindow.__init__(self, parent, name='XLD/XMCD Analysis', specfit=None, plugins=False, newplot=False, **self.xmcdToolbarOptions) if hasattr(self, 'pluginsIconFlag'): self.pluginsIconFlag = False self.plotWindow = origin if hasattr(self, 'scanWindowInfoWidget'): if self.scanWindowInfoWidget: self.scanWindowInfoWidget.hide() # Buttons to push spectra to main Window buttonWidget = qt.QWidget() buttonAdd = qt.QPushButton('Add', self) buttonAdd.setToolTip('Add active curve to main window') buttonReplace = qt.QPushButton('Replace', self) buttonReplace.setToolTip( 'Replace all curves in main window ' +'with active curve in analysis window') buttonAddAll = qt.QPushButton('Add all', self) buttonAddAll.setToolTip( 'Add all curves in analysis window ' +'to main window') buttonReplaceAll = qt.QPushButton('Replace all', self) buttonReplaceAll.setToolTip( 'Replace all curves in main window ' +'with all curves from analysis window') self.graphBottomLayout.addWidget(qt.HorizontalSpacer()) self.graphBottomLayout.addWidget(buttonAdd) self.graphBottomLayout.addWidget(buttonAddAll) self.graphBottomLayout.addWidget(buttonReplace) self.graphBottomLayout.addWidget(buttonReplaceAll) buttonAdd.clicked.connect(self.add) buttonReplace.clicked.connect(self.replace) buttonAddAll.clicked.connect(self.addAll) buttonReplaceAll.clicked.connect(self.replaceAll) # Copy spectra from origin self.selectionDict = {'A':[], 'B':[]} self.curvesDict = {} self.optsDict = { 'normAfterAvg' : False, 'normBeforeAvg' : False, 'useActive' : False, 'equidistant' : False, 'normalizationMethod' : self.NormOffsetAndArea } self.xRange = None # Keep track of Averages, XMCD and XAS curves by label self.avgA = None self.avgB = None self.xmcd = None self.xas = None if hasattr(self, '_buildLegendWidget'): self._buildLegendWidget() def sizeHint(self): if self.parent(): height = .5 * self.parent().height() else: height = self.height() return qt.QSize(self.width(), height) def processOptions(self, options): tmp = { 'equidistant': False, 'useActive': False, 'normAfterAvg': False, 'normBeforeAvg': False, 'normalizationMethod': None } xRange = options['xrange'] normalization = options['normalization'] normMethod = options['normalizationMethod'] # xRange Options. Default: Use first scan if xRange == 1: tmp['useActive'] = True elif xRange == 2: tmp['equidistant'] = True # Normalization Options. Default: No Normalization if normalization == 1: tmp['normAfterAvg'] = True elif normalization == 2: tmp['normBeforeAvg'] = True # Normalization Method. Default: offsetAndArea tmp['normalizationMethod'] = self.setNormalizationMethod(normMethod) # Trigger reclaculation self.optsDict = tmp groupA = self.selectionDict['A'] groupB = self.selectionDict['B'] self.processSelection(groupA, groupB) def setNormalizationMethod(self, fname): if fname == 'toMaximum': func = self.NormToMaximum elif fname == 'offsetAndMaximum': func = self.NormToOffsetAndMaximum elif fname == 'offsetAndCounts': func = self.NormOffsetAndCounts else: func = self.NormOffsetAndArea return func def NormToMaximum(self,x,y): ymax = numpy.max(y) ynorm = y/ymax return ynorm def NormToOffsetAndMaximum(self,x,y): ynorm = y - numpy.min(y) ymax = numpy.max(ynorm) ynorm /= ymax return ynorm def NormOffsetAndCounts(self, x, y): ynorm = y - numpy.min(y) ymax = numpy.sum(ynorm) ynorm /= ymax return ynorm def NormOffsetAndArea(self, x, y): ynorm = y - numpy.min(y) ymax = numpy.trapz(ynorm, x) ynorm /= ymax return ynorm def interpXRange(self, xRange=None, equidistant=False, xRangeList=None): """ Input ----- :param xRange : x-range on which all curves are interpolated if set to none, the first curve in xRangeList is used :type xRange: ndarray :param equidistant : Determines equidistant xrange on which all curves are interpolated xRangeList : List List of ndarray from which the overlap is determined. If set to none, self.curvesDict is used. Determines the interpolation x-range used for XMCD Analysis specified by the provided parameters. The interpolation x-range is limited by the maximal overlap between the curves present in the plot window. Returns ------- out : numpy array x-range between xmin and xmax containing n points """ if not xRangeList: # Default xRangeList: curvesDict sorted for legends keys = sorted(self.curvesDict.keys()) xRangeList = [self.curvesDict[k].x[0] for k in keys] if not len(xRangeList): if DEBUG: print('interpXRange -- Nothing to do') return None num = 0 xmin, xmax = self.plotWindow.getGraphXLimits() for x in xRangeList: if x.min() > xmin: xmin = x.min() if x.max() < xmax: xmax = x.max() if xmin >= xmax: raise ValueError('No overlap between curves') pass if equidistant: for x in xRangeList: curr = numpy.nonzero((x >= xmin) & (x <= xmax))[0].size num = curr if curr>num else num # Exclude first and last point out = numpy.linspace(xmin, xmax, num, endpoint=False)[1:] else: if xRange is not None: x = xRange else: x = xRangeList[0] # Ensure monotonically increasing x-range if not numpy.all(numpy.diff(x)>0.): mask = numpy.nonzero(numpy.diff(x)>0.)[0] x = numpy.take(x, mask) # Exclude the endpoints mask = numpy.nonzero((x > xmin) & (x < xmax))[0] out = numpy.sort(numpy.take(x, mask)) if DEBUG: print('interpXRange -- Resulting xrange:') print('\tmin = %f' % out.min()) print('\tmax = %f' % out.max()) print('\tnum = %f' % len(out)) return out def processSelection(self, groupA, groupB): """ Input ----- groupA, groupB : Lists of strings Contain the legends of curves selected to Group A resp. B """ # Clear analysis window all = self.getAllCurves(just_legend=True) self.removeCurves(all) self.avgB, self.avgA = None, None self.xas, self.xmcd = None, None self.selectionDict['A'] = groupA[:] self.selectionDict['B'] = groupB[:] self.curvesDict = self.copyCurves(groupA + groupB) if (len(self.curvesDict) == 0) or\ ((len(self.selectionDict['A']) == 0) and\ (len(self.selectionDict['B']) == 0)): # Nothing to do return # Make sure to use active curve when specified if self.optsDict['useActive']: # Get active curve active = self.plotWindow.getActiveCurve() if active: if DEBUG: print('processSelection -- xrange: use active') x, y, leg, info = active[0:4] xRange = self.interpXRange(xRange=x) else: return elif self.optsDict['equidistant']: if DEBUG: print('processSelection -- xrange: use equidistant') xRange = self.interpXRange(equidistant=True) else: if DEBUG: print('processSelection -- xrange: use first') xRange = self.interpXRange() if hasattr(self.plotWindow, 'graph'): activeLegend = self.plotWindow.graph.getActiveCurve(justlegend=True) else: activeLegend = self.plotWindow.getActiveCurve(just_legend=True) if (not activeLegend) or (activeLegend not in self.curvesDict.keys()): # Use first curve in the series as xrange activeLegend = sorted(self.curvesDict.keys())[0] active = self.curvesDict[activeLegend] xlabel, ylabel = self.extractLabels(active.info) # Calculate averages and add them to the plot normalization = self.optsDict['normalizationMethod'] normBefore = self.optsDict['normBeforeAvg'] normAfter = self.optsDict['normAfterAvg'] for idx in ['A','B']: sel = self.selectionDict[idx] if not len(sel): continue xvalList = [] yvalList = [] for legend in sel: tmp = self.curvesDict[legend] if normBefore: xVals = tmp.x[0] yVals = normalization(xVals, tmp.y[0]) else: xVals = tmp.x[0] yVals = tmp.y[0] xvalList.append(xVals) yvalList.append(yVals) avg_x, avg_y = self.specAverage(xvalList, yvalList, xRange) if normAfter: avg_y = normalization(avg_x, avg_y) avgName = 'avg_' + idx #info = {'xlabel': xlabel, 'ylabel': ylabel} info = {} if idx == 'A': #info.update({'plot_color':'red'}) color="red" else: #info.update({'plot_color':'blue'}) color="blue" self.addCurve(avg_x, avg_y, legend=avgName, info=info, xlabel=xlabel, ylabel=ylabel, color=color) if idx == 'A': self.avgA = self.dataObjectsList[-1] if idx == 'B': self.avgB = self.dataObjectsList[-1] if (self.avgA and self.avgB): self.performXMCD() self.performXAS() def copyCurves(self, selection): """ Input ----- selection : List Contains legends of curves to be processed Creates a deep copy of the curves present in the plot window. In order to avoid interpolation errors later on, it is ensured that the xranges of the data is strictly monotonically increasing. Returns ------- out : Dictionary Contains legends as keys and dataObjects as values. """ if not len(selection): return {} out = {} for legend in selection: tmp = self.plotWindow.dataObjectsDict.get(legend, None) if tmp: tmp = copy.deepcopy(tmp) xarr, yarr = tmp.x, tmp.y #if len(tmp.x) == len(tmp.y): xprocArr, yprocArr = [], [] for (x,y) in zip(xarr,yarr): # Sort idx = numpy.argsort(x, kind='mergesort') xproc = numpy.take(x, idx) yproc = numpy.take(y, idx) # Ravel, Increase xproc = xproc.ravel() idx = numpy.nonzero((xproc[1:] > xproc[:-1]))[0] xproc = numpy.take(xproc, idx) yproc = numpy.take(yproc, idx) xprocArr += [xproc] yprocArr += [yproc] tmp.x = xprocArr tmp.y = yprocArr out[legend] = tmp else: # TODO: Errorhandling, curve not found if DEBUG: print("copyCurves -- Retrieved none type curve") continue return out def specAverage(self, xarr, yarr, xRange=None): """ xarr : list List containing x-Values in 1-D numpy arrays yarr : list List containing y-Values in 1-D numpy arrays xRange : Numpy array x-Values used for interpolation. Must overlap with all arrays in xarr From the spectra given in xarr & yarr, the method determines the overlap in the x-range. For spectra with unequal x-ranges, the method interpolates all spectra on the values given in xRange and averages them. Returns ------- xnew, ynew : Numpy arrays or None Average spectrum. In case of invalid input, (None, None) tuple is returned. """ if (len(xarr) != len(yarr)) or\ (len(xarr) == 0) or (len(yarr) == 0): if DEBUG: print('specAverage -- invalid input!') print('Array lengths do not match or are 0') return None, None same = True if xRange is None: x0 = xarr[0] else: x0 = xRange for x in xarr: if len(x0) == len(x): if numpy.all(x0 == x): pass else: same = False break else: same = False break xsort = [] ysort = [] for (x,y) in zip(xarr, yarr): if numpy.all(numpy.diff(x) > 0.): # All values sorted xsort.append(x) ysort.append(y) else: # Sort values mask = numpy.argsort(x) xsort.append(x.take(mask)) ysort.append(y.take(mask)) if xRange is not None: xmin0 = xRange.min() xmax0 = xRange.max() else: xmin0 = xsort[0][0] xmax0 = xsort[0][-1] if (not same) or (xRange is None): # Determine global xmin0 & xmax0 for x in xsort: xmin = x.min() xmax = x.max() if xmin > xmin0: xmin0 = xmin if xmax < xmax0: xmax0 = xmax if xmax <= xmin: if DEBUG: print('specAverage -- ') print('No overlap between spectra!') return numpy.array([]), numpy.array([]) # Clip xRange to maximal overlap in spectra if xRange is None: xRange = xsort[0] mask = numpy.nonzero((xRange>=xmin0) & (xRange<=xmax0))[0] xnew = numpy.take(xRange, mask) ynew = numpy.zeros(len(xnew)) # Perform average for (x, y) in zip(xsort, ysort): if same: ynew += y else: yinter = numpy.interp(xnew, x, y) ynew += numpy.asarray(yinter) num = len(yarr) ynew /= num return xnew, ynew def extractLabels(self, info): xlabel = 'X' ylabel = 'Y' sel = info.get('selection', None) labelNames = info.get('LabelNames',[]) if not len(labelNames): pass elif len(labelNames) == 2: [xlabel, ylabel] = labelNames elif sel: xsel = sel.get('x',[]) ysel = sel.get('y',[]) if len(xsel) > 0: x = xsel[0] xlabel = labelNames[x] if len(ysel) > 0: y = ysel[0] ylabel = labelNames[y] return xlabel, ylabel def performXAS(self): keys = self.dataObjectsDict.keys() if (self.avgA in keys) and (self.avgB in keys): a = self.dataObjectsDict[self.avgA] b = self.dataObjectsDict[self.avgB] else: if DEBUG: print('performXAS -- Data not found: ') print('\tavg_m = %f' % self.avgA) print('\tavg_p = %f' % self.avgB) return if numpy.all( a.x[0] == b.x[0] ): avg = .5*(b.y[0] + a.y[0]) else: if DEBUG: print('performXAS -- x ranges are not the same! ') print('Force interpolation') avg = self.performAverage([a.x[0], b.x[0]], [a.y[0], b.y[0]], b.x[0]) xmcdLegend = 'XAS' xlabel, ylabel = self.extractLabels(a.info) #info = {'xlabel': xlabel, 'ylabel': ylabel, 'plot_color': 'pink'} info = {} self.addCurve(a.x[0], avg, legend=xmcdLegend, info=info, xlabel=xlabel, ylabel=ylabel, color="pink") self.xas = self.dataObjectsList[-1] def performXMCD(self): keys = self.dataObjectsDict.keys() if (self.avgA in keys) and (self.avgB in keys): a = self.dataObjectsDict[self.avgA] b = self.dataObjectsDict[self.avgB] else: if DEBUG: print('performXMCD -- Data not found:') return if numpy.all( a.x[0] == b.x[0] ): diff = b.y[0] - a.y[0] else: if DEBUG: print('performXMCD -- x ranges are not the same! ') print('Force interpolation using p Average xrange') # Use performAverage d = 2 * avg(y1, -y2) # and force interpolation on p-xrange diff = 2. * self.performAverage([a.x[0], b.x[0]], [-a.y[0], b.y[0]], b.x[0]) xmcdLegend = 'XMCD' xlabel, ylabel = self.extractLabels(a.info) #info = {'xlabel': xlabel, 'ylabel': ylabel, 'plot_yaxis': 'right', 'plot_color': 'green'} info={} self.addCurve(b.x[0], diff, legend=xmcdLegend, info=info, color="green", xlabel=xlabel, ylabel=ylabel, yaxis="right") # DELETE ME self.graph.mapToY2(' '.join([xmcdLegend, ylabel])) self._zoomReset() self.xmcd = self.dataObjectsList[-1] def selectionInfo(self, idx, key): """ Convenience function to retrieve values from the info dictionaries of the curves stored selectionDict. """ sel = self.selectionDict[idx] ret = '%s: '%idx for legend in sel: curr = self.curvesDict[legend] value = curr.info.get(key, None) if value: ret = ' '.join([ret, value]) return ret def _saveIconSignal(self): saveDir = PyMcaDirs.outputDir filter = 'spec File (*.spec);;Any File (*.*)' try: (filelist, append, comment) = getSaveFileName(parent=self, caption='Save XMCD Analysis', filter=filter, directory=saveDir) filename = filelist[0] except IndexError: # Returned list is empty return except ValueError: # Returned list is empty return if append: specf = specfile.Specfile(filename) scanno = specf.scanno() + 1 else: scanno = 1 ext = splitext(filename)[1] if not len(ext): ext = '.spec' filename += ext try: if append: sepFile = splitext(basename(filename)) sepFileName = sepFile[0] + '_%.2d'%scanno + sepFile[1] sepFileName = pathjoin(dirname(filename),sepFileName) if scanno == 2: # Case: Scan appended to file containing # a single scan. Make sure, that the first # scan is also written to seperate file and # the corresponding cfg-file is copied # 1. Create filename of first scan sepFirstFileName = sepFile[0] + '_01' + sepFile[1] sepFirstFileName = pathjoin(dirname(filename),sepFirstFileName) # 2. Guess filename of first config confname = sepFile[0] + '.cfg' confname = pathjoin(dirname(filename),confname) # 3. Create new filename of first config sepFirstConfName = sepFile[0] + '_01' + '.cfg' sepFirstConfName = pathjoin(dirname(filename),sepFirstConfName) # Copy contents firstSeperateFile = open(sepFirstFileName, 'wb') firstSeperateConf = open(sepFirstConfName, 'wb') filehandle = open(filename, 'rb') confhandle = open(confname, 'rb') firstFile = filehandle.read() firstConf = confhandle.read() firstSeperateFile.write(firstFile) firstSeperateConf.write(firstConf) firstSeperateFile.close() firstSeperateConf.close() filehandle = open(filename, 'ab') seperateFile = open(sepFileName, 'wb') else: filehandle = open(filename, 'wb') seperateFile = None except IOError: msg = qt.QMessageBox(text="Unable to open '%s'"%filename) msg.exec_() return title = '' legends = self.dataObjectsList tmpLegs = sorted(self.curvesDict.keys()) if len(tmpLegs) > 0: title += self.curvesDict[tmpLegs[0]].info.get('selectionlegend','') # Keep plots in the order they were added! curves = [self.dataObjectsDict[leg] for leg in legends] yVals = [curve.y[0] for curve in curves] # xrange is the same for every curve xVals = [curves[0].x[0]] else: yVals = [] xVals = [] outArray = numpy.vstack([xVals, yVals]).T if not len(outArray): ncols = 0 elif len(outArray.shape) > 1: ncols = outArray.shape[1] else: ncols = 1 delim = ' ' title = 'XMCD Analysis ' + title header = '#S %d %s'%(scanno,title) + NEWLINE header += ('#U00 Selected in Group ' +\ self.selectionInfo('A', 'Key') + NEWLINE) header += ('#U01 Selected in Group ' +\ self.selectionInfo('B', 'Key') + NEWLINE) # Write Comments if len(comment) > 0: header += ('#U02 User commentary:' + NEWLINE) lines = comment.splitlines()[:97] for (idx, line) in enumerate(lines): header += ('#U%.2d %s'%(idx+3, line) + NEWLINE) header += '#N %d'%ncols + NEWLINE if ext == '.spec': if hasattr(self, 'getGraphXLabel'): header += ('#L ' + self.getGraphXLabel() + ' ' + ' '.join(legends) + NEWLINE) else: header += ('#L ' + self.getGraphXTitle() + ' ' + ' '.join(legends) + NEWLINE) else: if hasattr(self, 'getGraphXLabel'): header += ('#L ' + self.getGraphXLabel() + ' ' + ' '.join(legends) + NEWLINE) else: header += ('#L ' + self.getGraphXTitle() + ' ' + delim.join(legends) + NEWLINE) for fh in [filehandle, seperateFile]: if fh is not None: if sys.version < "3.0": fh.write(bytes(NEWLINE)) fh.write(bytes(header)) for line in outArray: tmp = delim.join(['%f'%num for num in line]) fh.write(bytes(tmp + NEWLINE)) fh.write(bytes(NEWLINE)) else: fh.write(bytes(NEWLINE, 'ascii')) fh.write(bytes(header, 'ascii')) for line in outArray: tmp = delim.join(['%f'%num for num in line]) fh.write(bytes(tmp + NEWLINE, 'ascii')) fh.write(bytes(NEWLINE, 'ascii')) fh.close() # Emit saveOptionsSignal to save config file self.saveOptionsSignal.emit(splitext(filename)[0]) if seperateFile is not None: self.saveOptionsSignal.emit(splitext(sepFileName)[0]) def add(self): if len(self.dataObjectsList) == 0: return activeCurve = self.getActiveCurve() if activeCurve is None: return (xVal, yVal, legend, info) = activeCurve #if 'selectionlegend' in info: # newLegend = info['selectionlegend'] #elif 'operation' in info: # newLegend = (str(operation) + ' ' + self.title) #else: # newLegend = (legend + ' ' + self.title) newLegend = legend self.plotWindow.addCurve(xVal, yVal, legend=newLegend, info=info) self.plotModifiedSignal.emit() def addAll(self): for (xVal, yVal, legend, info) in self.getAllCurves(): #if 'selectionlegend' in info: # newLegend = info['selectionlegend'] #elif 'operation' in info: # newLegend = (str(operation) + ' ' + self.title) #else: # newLegend = (legend + ' ' + self.title) newLegend = legend self.plotWindow.addCurve(xVal, yVal, legend=newLegend, info=info) self.plotModifiedSignal.emit() def replace(self): if len(self.dataObjectsList) == 0: return activeCurve = self.getActiveCurve() if activeCurve is None: return (xVal, yVal, legend, info) = activeCurve if 'selectionlegend' in info: newLegend = info['selectionlegend'] elif 'operation' in info: newLegend = (str(info['operation']) + ' ' + self.title) else: newLegend = (legend + self.title) self.plotWindow.addCurve(xVal, yVal, legend=newLegend, info=info, replace=True) self.plotModifiedSignal.emit() def replaceAll(self): allCurves = self.getAllCurves() for (idx, (xVal, yVal, legend, info)) in enumerate(allCurves): if 'selectionlegend' in info: newLegend = info['selectionlegend'] elif 'operation' in info: newLegend = (str(info['operation']) + ' ' + self.title) else: newLegend = (legend + ' ' + self.title) if idx == 0: self.plotWindow.addCurve(xVal, yVal, legend=newLegend, info=info, replace=True) else: self.plotWindow.addCurve(xVal, yVal, legend=newLegend, info=info) self.plotModifiedSignal.emit() class XMCDMenu(qt.QMenu): def __init__(self, parent, title=None): qt.QMenu.__init__(self, parent) if title: self.setTitle(title) def setActionList(self, actionList, update=False): """ List functions has to have the form (functionName, function) Default is ('', function) """ if not update: self.clear() for (name, function) in actionList: if name == '$SEPARATOR': self.addSeparator() continue if name != '': fName = name else: fName = function.func_name act = qt.QAction(fName, self) # Force triggered() instead of triggered(bool) # to ensure proper interaction with default parameters act.triggered.connect(function) self.addAction(act) class XMCDTreeWidget(qt.QTreeWidget): __colGroup = 0 __colLegend = 1 __colScanNo = 2 __colCounter = 3 selectionModifiedSignal = qt.pyqtSignal() def __init__(self, parent, groups = ['B','A','D'], color=True): qt.QTreeWidget.__init__(self, parent) # Last identifier in groups is the ignore instruction self.groupList = groups self.actionList = [] self.contextMenu = qt.QMenu('Perform', self) self.color = color self.colorDict = { groups[0] : qt.QBrush(qt.QColor(220, 220, 255)), groups[1] : qt.QBrush(qt.QColor(255, 210, 210)), '': qt.QBrush(qt.QColor(255, 255, 255)) } def sizeHint(self): vscrollbar = self.verticalScrollBar() width = vscrollbar.width() for i in range(self.columnCount()): width += (2 + self.columnWidth(i)) return qt.QSize( width, 20*22) def setContextMenu(self, menu): self.contextMenu = menu def contextMenuEvent(self, event): if event.reason() == event.Mouse: pos = event.globalPos() item = self.itemAt(event.pos()) else: pos = None sel = self.selectedItems() if sel: item = sel[0] else: item = self.currentItem() if item is None: self.invisibleRootItem().child(0) if item is not None: itemrect = self.visualItemRect(item) portrect = self.viewport().rect() itemrect.setLeft(portrect.left()) itemrect.setWidth(portrect.width()) pos = self.mapToGlobal(itemrect.bottomLeft()) if pos is not None: self.contextMenu.popup(pos) event.accept() def invertSelection(self): root = self.invisibleRootItem() for i in range(root.childCount()): if root.child(i).isSelected(): root.child(i).setSelected(False) else: root.child(i).setSelected(True) def getColumn(self, ncol, selectedOnly=False, convertType=str): """ Returns items in tree column ncol and converts them to convertType. If the conversion fails, the default type is a python string. If selectedOnly is set to True, only the selected the items of selected rows are returned. """ out = [] convert = (convertType != str) if ncol > (self.columnCount()-1): if DEBUG: print('getColum -- Selected column out of bounds') raise IndexError("Selected column '%d' out of bounds" % ncol) return out if selectedOnly: sel = self.selectedItems() else: root = self.invisibleRootItem() sel = [root.child(i) for i in range(root.childCount())] for item in sel: tmp = str(item.text(ncol)) if convert: try: tmp = convertType(tmp) except (TypeError, ValueError): if convertType == float: tmp = float('NaN') else: if DEBUG: print('getColum -- Conversion failed!') raise TypeError out += [tmp] return out def build(self, items, headerLabels): """ (Re-) Builds the tree display headerLabels must be of type QStringList items must be of type [QStringList] (List of Lists) """ # Remember selection, then clear list sel = self.getColumn(self.__colLegend, True) self.clear() self.setHeaderLabels(headerLabels) for item in items: treeItem = TreeWidgetItem(self, item) if self.color: idx = str(treeItem.text(self.__colGroup)) for i in range(self.columnCount()): treeItem.setBackground(i, self.colorDict[idx]) if treeItem.text(self.__colLegend) in sel: treeItem.setSelected(True) def setSelectionAs(self, idx): """ Sets the items currently selected to the identifier given in idx. """ if idx not in self.groupList: raise ValueError('XMCDTreeWidget: invalid identifer \'%s\'' % idx) sel = self.selectedItems() if idx == self.groupList[-1]: # Last identifier in self.groupList # is the dummy identifier idx = '' for item in sel: item.setText(self.__colGroup, idx) if self.color: for i in range(self.columnCount()): item.setBackground(i, self.colorDict[idx]) self.selectionModifiedSignal.emit() def _setSelectionToSequenceSlot(self): """ Internal Slot to make sure there is no confusion with default arguments. """ return self.setSelectionToSequence() def setSelectionToSequence(self, seq=None, selectedOnly=False): """ Sets the group column (col 0) to seq. If sequence is None, a dialog window is shown. """ chk = True if selectedOnly: sel = self.selectedItems() else: root = self.invisibleRootItem() sel = [root.child(i) for i in range(root.childCount())] # Try to sort for scanNo #self.sortItems(self.__colLegend, qt.Qt.AscendingOrder) self.sortItems(self.__colScanNo, qt.Qt.AscendingOrder) if not seq: seq, chk = qt.QInputDialog.\ getText(None, 'Sequence Dialog', 'Valid identifiers are: ' + ', '.join(self.groupList), qt.QLineEdit.Normal, 'Enter sequence') seq = str(seq).upper() if not chk: return for idx in seq: if idx not in self.groupList: invalidMsg = qt.QMessageBox(None) invalidMsg.setText('Invalid identifier. Try again.') invalidMsg.setStandardButtons(qt.QMessageBox.Ok) invalidMsg.exec_() return if len(sel) != len(seq): # Assume pattern and repeat seq = seq * (len(sel)//len(seq) + 1) #invalidMsg = qt.QMessageBox(None) #invalidMsg.setText('Sequence length does not match item count.') #invalidMsg.setStandardButtons(qt.QMessageBox.Ok) #invalidMsg.exec_() for (idx, item) in zip(seq, sel): if idx == self.groupList[-1]: idx = '' item.setText(self.__colGroup, idx) if self.color: for i in range(self.columnCount()): item.setBackground(i, self.colorDict[idx]) self.selectionModifiedSignal.emit() def _clearSelectionSlot(self): """ Internal slot method. """ return self.clearSelection() def clearSelection(self, selectedOnly=True): """ Empties the groups column for the selected rows. """ if selectedOnly: sel = self.selectedItems() else: root = self.invisibleRootItem() sel = [root.child(i) for i in range(root.childCount())] for item in sel: item.setText(self.__colGroup,'') if self.color: for i in range(self.columnCount()): item.setBackground(i, self.colorDict['']) self.selectionModifiedSignal.emit() def getSelection(self): """ Returns dictionary with where the keys are the identifiers ('D', 'A', 'B') and the values are (sorted) lists containing legends to which the respective identifier is assigned to. """ out = dict((group, []) for group in self.groupList) root = self.invisibleRootItem() for i in range(root.childCount()): item = root.child(i) group = str(item.text(0)) legend = str(item.text(1)) #nCols = item.columnCount() #legend = str(item.text(nCols-1)) if len(group) == 0: group = self.groupList[-1] out[group] += [legend] for value in out.values(): value.sort() return out class XMCDWidget(qt.QWidget): toolbarOptions = { 'logx': False, 'logy': False, 'flip': False, 'fit': False } setSelectionSignal = qt.pyqtSignal(object, object) def __init__(self, parent, plotWindow, beamline, nSelectors = 5): """ Input ----- plotWindow : ScanWindow instance ScanWindow from which curves are passed for XLD/XMCD Analysis nSelectors : Int Number of columns show in the widget. Per default these are ... """ qt.QWidget.__init__(self, parent) self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['peak']))) self.plotWindow = plotWindow self.legendList = [] self.motorsList = [] self.infoList = [] # Set self.plotWindow before calling self._setLists! self._setLists() self.motorNamesList = [''] + self._getAllMotorNames() self.motorNamesList.sort() self.numCurves = len(self.legendList) #self.cBoxList = [] self.analysisWindow = XMCDScanWindow(origin=plotWindow, parent=None) self.optsWindow = XMCDOptions(self, self.motorNamesList) helpFileName = pathjoin(PyMcaDataDir.PYMCA_DOC_DIR, "HTML", "XMCDInfotext.html") self.helpFileBrowser = qt.QTextBrowser() self.helpFileBrowser.setWindowTitle("XMCD Help") self.helpFileBrowser.setLineWrapMode(qt.QTextEdit.FixedPixelWidth) self.helpFileBrowser.setLineWrapColumnOrWidth(500) self.helpFileBrowser.resize(520,300) try: helpFileHandle = open(helpFileName) helpFileHTML = helpFileHandle.read() helpFileHandle.close() self.helpFileBrowser.setHtml(helpFileHTML) except IOError: if DEBUG: print('XMCDWindow -- init: Unable to read help file') self.helpFileBrowser = None self.selectionDict = {'D': [], 'B': [], 'A': []} self.setSizePolicy(qt.QSizePolicy.MinimumExpanding, qt.QSizePolicy.Expanding) self.setWindowTitle("XLD/XMCD Analysis") buttonOptions = qt.QPushButton('Options', self) buttonOptions.setToolTip( 'Set normalization and interpolation\n' +'method and motors shown') buttonInfo = qt.QPushButton('Info') buttonInfo.setToolTip( 'Shows a describtion of the plugins features\n' +'and gives instructions on how to use it') updatePixmap = qt.QPixmap(IconDict["reload"]) buttonUpdate = qt.QPushButton( qt.QIcon(updatePixmap), '', self) buttonUpdate.setIconSize(qt.QSize(21,21)) buttonUpdate.setToolTip( 'Update curves in XMCD Analysis\n' +'by checking the plot window') self.list = XMCDTreeWidget(self) labels = ['Group', 'Legend', 'S#','Counter']+\ (['']*nSelectors) ncols = len(labels) self.list.setColumnCount(ncols) self.list.setHeaderLabels(labels) self.list.setSortingEnabled(True) self.list.setSelectionMode( qt.QAbstractItemView.ExtendedSelection) listContextMenu = XMCDMenu(None) listContextMenu.setActionList( [('Perform analysis', self.triggerXMCD), ('$SEPARATOR', None), ('Set as A', self.setAsA), ('Set as B', self.setAsB), ('Enter sequence', self.list._setSelectionToSequenceSlot), ('Remove selection', self.list._clearSelectionSlot), ('$SEPARATOR', None), ('Invert selection', self.list.invertSelection), ('Remove curve(s)', self.removeCurve_)]) self.list.setContextMenu(listContextMenu) self.expCBox = qt.QComboBox(self) self.expCBox.setToolTip('Select configuration of predefined\n' +'experiment or configure new experiment') self.experimentsDict = { 'Generic Dichroism': { 'xrange': 0, 'normalization': 0, 'normalizationMethod': 'offsetAndArea', 'motor0': '', 'motor1': '', 'motor2': '', 'motor3': '', 'motor4': '' }, 'ID08: XMCD 9 Tesla Magnet': { 'xrange': 0, 'normalization': 0, 'normalizationMethod': 'offsetAndArea', 'motor0': 'phaseD', 'motor1': 'magnet', 'motor2': '', 'motor3': '', 'motor4': '' }, 'ID08: XMCD 5 Tesla Magnet': { 'xrange': 0, 'normalization': 0, 'normalizationMethod': 'offsetAndArea', 'motor0': 'PhaseD', 'motor1': 'oxPS', 'motor2': '', 'motor3': '', 'motor4': '' }, 'ID08: XLD 5 Tesla Magnet': { 'xrange': 0, 'normalization': 0, 'normalizationMethod': 'offsetAndArea', 'motor0': 'PhaseD', 'motor1': '', 'motor2': '', 'motor3': '', 'motor4': '' }, 'ID08: XLD 9 Tesla Magnet': { 'xrange': 0, 'normalization': 0, 'normalizationMethod': 'offsetAndArea', 'motor0': 'phaseD', 'motor1': '', 'motor2': '', 'motor3': '', 'motor4': '' }, 'ID12: XMCD (Flipper)': { 'xrange': 0, 'normalization': 0, 'normalizationMethod': 'offsetAndArea', 'motor0': 'BRUKER', 'motor1': 'OXFORD', 'motor2': 'CRYO', 'motor3': '', 'motor4': '' }, 'ID12: XMCD': { 'xrange': 0, 'normalization': 0, 'normalizationMethod': 'offsetAndArea', 'motor0': 'Phase', 'motor1': 'PhaseA', 'motor2': 'BRUKER', 'motor3': 'OXFORD', 'motor4': 'CRYO' }, 'ID12: XLD (quater wave plate)': { 'xrange': 0, 'normalization': 0, 'normalizationMethod': 'offsetAndArea', 'motor0': '', 'motor1': '', 'motor2': '', 'motor3': '', 'motor4': '' } } self.expCBox.addItems( ['Generic Dichroism', 'ID08: XLD 9 Tesla Magnet', 'ID08: XLD 5 Tesla Magnet', 'ID08: XMCD 9 Tesla Magnet', 'ID08: XMCD 5 Tesla Magnet', 'ID12: XLD (quater wave plate)', 'ID12: XMCD (Flipper)', 'ID12: XMCD', 'Add new configuration']) self.expCBox.insertSeparator(len(self.experimentsDict)) topLayout = qt.QHBoxLayout() topLayout.addWidget(buttonUpdate) topLayout.addWidget(buttonOptions) topLayout.addWidget(buttonInfo) topLayout.addWidget(qt.HorizontalSpacer(self)) topLayout.addWidget(self.expCBox) leftLayout = qt.QGridLayout() leftLayout.setContentsMargins(1, 1, 1, 1) leftLayout.setSpacing(2) leftLayout.addLayout(topLayout, 0, 0) leftLayout.addWidget(self.list, 1, 0) leftWidget = qt.QWidget(self) leftWidget.setLayout(leftLayout) self.analysisWindow.setSizePolicy(qt.QSizePolicy.Minimum, qt.QSizePolicy.Minimum) #self.splitter = qt.QSplitter(qt.Qt.Horizontal, self) self.splitter = qt.QSplitter(qt.Qt.Vertical, self) self.splitter.addWidget(leftWidget) self.splitter.addWidget(self.analysisWindow) stretch = int(leftWidget.width()) # If window size changes, only the scan window size changes self.splitter.setStretchFactor( self.splitter.indexOf(self.analysisWindow),1) mainLayout = qt.QVBoxLayout() mainLayout.setContentsMargins(0,0,0,0) mainLayout.addWidget(self.splitter) self.setLayout(mainLayout) # Shortcuts self.updateShortcut = qt.QShortcut(qt.QKeySequence('F5'), self) self.updateShortcut.activated.connect(self.updatePlots) self.optionsWindowShortcut = qt.QShortcut(qt.QKeySequence('Alt+O'), self) self.optionsWindowShortcut.activated.connect(self.showOptionsWindow) self.helpFileShortcut = qt.QShortcut(qt.QKeySequence('F1'), self) self.helpFileShortcut.activated.connect(self.showInfoWindow) self.expSelectorShortcut = qt.QShortcut(qt.QKeySequence('Tab'), self) self.expSelectorShortcut.activated.connect(self.activateExpCB) self.saveShortcut = qt.QShortcut(qt.QKeySequence('Ctrl+S'), self) self.saveShortcut.activated.connect(self.analysisWindow._saveIconSignal) # Connects self.expCBox.currentIndexChanged['QString'].connect(self.updateTree) self.expCBox.currentIndexChanged['QString'].connect(self.selectExperiment) self.list.selectionModifiedSignal.connect(self.updateSelectionDict) self.setSelectionSignal.connect(self.analysisWindow.processSelection) self.analysisWindow.saveOptionsSignal.connect(self.optsWindow.saveOptions) self.optsWindow.accepted.connect(self.updateTree) buttonUpdate.clicked.connect(self.updatePlots) buttonOptions.clicked.connect(self.showOptionsWindow) buttonInfo.clicked.connect(self.showInfoWindow) self.updateTree() self.list.sortByColumn(1, qt.Qt.AscendingOrder) def sizeHint(self): return self.list.sizeHint() + self.analysisWindow.sizeHint() def activateExpCB(self): self.expCBox.setFocus(qt.Qt.TabFocusReason) def addExperiment(self): exp, chk = qt.QInputDialog.\ getText(self, 'Configure new experiment', 'Enter experiment title', qt.QLineEdit.Normal, 'ID00: ') if chk and (not exp.isEmpty()): exp = str(exp) opts = XMCDOptions(self, self.motorNamesList, False) if opts.exec_(): self.experimentsDict[exp] = opts.getOptions() cBox = self.expCBox new = [cBox.itemText(i) for i in range(cBox.count())][0:-2] new += [exp] new.append('Add new configuration') cBox.clear() cBox.addItems(new) cBox.insertSeparator(len(new)-1) idx = cBox.findText([exp][0]) if idx < 0: cBox.setCurrentIndex(0) else: cBox.setCurrentIndex(idx) opts.destroy() idx = self.expCBox.findText(exp) if idx < 0: idx = 0 self.expCBox.setCurrentIndex(idx) def showOptionsWindow(self): if self.optsWindow.exec_(): options = self.optsWindow.getOptions() self.analysisWindow.processOptions(options) def showInfoWindow(self): if self.helpFileBrowser is None: msg = qt.QMessageBox() msg.setWindowTitle('XLD/XMCD Error') msg.setText('No help file found.') msg.exec_() return else: self.helpFileBrowser.show() self.helpFileBrowser.raise_() # Implement new assignment routines here BEGIN def selectExperiment(self, exp): exp = str(exp) if exp == 'Add new configuration': self.addExperiment() self.updateTree() elif exp in self.experimentsDict: try: # Sets motors 0 to 4 in optsWindow self.optsWindow.setOptions(self.experimentsDict[exp]) except ValueError: self.optsWindow.setOptions( self.experimentsDict['Generic Dichroism']) return # Get motor values from tree self.updateTree() values0 = numpy.array( self.list.getColumn(4, convertType=float)) values1 = numpy.array( self.list.getColumn(5, convertType=float)) values2 = numpy.array( self.list.getColumn(6, convertType=float)) values3 = numpy.array( self.list.getColumn(7, convertType=float)) values4 = numpy.array( self.list.getColumn(8, convertType=float)) # Determine p/m selection if exp.startswith('ID08: XLD'): values = values0 mask = numpy.where(numpy.isfinite(values))[0] minmax = values.take(mask) if len(minmax): vmin = minmax.min() vmax = minmax.max() vpivot = .5 * (vmax + vmin) else: vpivot = 0. values = numpy.array( [float('NaN')]*len(self.legendList)) elif exp.startswith('ID08: XMCD'): mask = numpy.where(numpy.isfinite(values0))[0] polarization = values0.take(mask) values1 = values1.take(mask) signMagnets = numpy.sign(values1) if len(polarization)==0: vpivot = 0. values = numpy.array( [float('NaN')]*len(self.legendList)) elif numpy.all(signMagnets>=0.) or\ numpy.all(signMagnets<=0.) or\ numpy.all(signMagnets==0.): vmin = polarization.min() vmax = polarization.max() vpivot = .5 * (vmax + vmin) values = polarization else: vpivot = 0. values = polarization * signMagnets elif exp.startswith('ID12: XLD (quater wave plate)'): # Extract counters from third column counters = self.list.getColumn(3, convertType=str) polarization = [] for counter in counters: # Relevant counters Ihor, Iver resp. Ihor0, Iver0, etc. if 'hor' in counter: pol = -1. elif 'ver' in counter: pol = 1. else: pol = float('nan') polarization += [pol] values = numpy.asarray(polarization, dtype=float) vpivot = 0. elif exp.startswith('ID12: XMCD (Flipper)'): # Extract counters from third column counters = self.list.getColumn(1, convertType=str) polarization = [] for counter in counters: # Relevant counters: Fminus/Fplus resp. Rminus/Rplus if 'minus' in counter: pol = 1. elif 'plus' in counter: pol = -1. else: pol = float('nan') polarization += [pol] magnets = values0 + values1 + values2 values = numpy.asarray(polarization, dtype=float)*\ magnets vpivot = 0. elif exp.startswith('ID12: XMCD'): # Sum over phases.. polarization = values0 + values1 # ..and magnets magnets = values2 + values3 + values4 signMagnets = numpy.sign(magnets) if numpy.all(signMagnets==0.): values = polarization else: values = numpy.sign(polarization)*\ numpy.sign(magnets) vpivot = 0. else: values = numpy.array([float('NaN')]*len(self.legendList)) vpivot = 0. # Sequence is generate according to values and vpivot seq = '' for x in values: if str(x) == 'nan': seq += 'D' elif x<vpivot: # Minus group seq += 'A' else: # Plus group seq += 'B' self.list.setSelectionToSequence(seq) # Implement new assignment routines here END def triggerXMCD(self): groupA = self.selectionDict['A'] groupB = self.selectionDict['B'] self.analysisWindow.processSelection(groupA, groupB) def removeCurve_(self): sel = self.list.getColumn(1, selectedOnly=True, convertType=str) for legend in sel: self.plotWindow.removeCurve(legend) for selection in self.selectionDict.values(): if legend in selection: selection.remove(legend) # Remove from XMCDScanWindow.curvesDict if legend in self.analysisWindow.curvesDict.keys(): del(self.analysisWindow.curvesDict[legend]) # Remove from XMCDScanWindow.selectionDict for selection in self.analysisWindow.selectionDict.values(): if legend in selection: selection.remove(legend) self.updatePlots() def updateSelectionDict(self): # Get selDict from self.list. It consists of tree items: # {GROUP0: LIST_OF_LEGENDS_IN_GROUP0, # GROUP1: LIST_OF_LEGENDS_IN_GROUP1, # GROUP2: LIST_OF_LEGENDS_IN_GROUP2} selDict = self.list.getSelection() # self.selectionDict -> Uses ScanNumbers instead of legends... newDict = {} for (idx, selList) in selDict.items(): if idx not in newDict.keys(): newDict[idx] = [] for legend in selList: newDict[idx] += [legend] self.selectionDict = newDict self.setSelectionSignal.emit(self.selectionDict['A'], self.selectionDict['B']) def updatePlots(self, newLegends = None, newMotorValues = None): # Check if curves in plotWindow changed.. curves = self.plotWindow.getAllCurves(just_legend=True) if curves == self.legendList: # ..if not, just replot to account for zoom self.triggerXMCD() return self._setLists() self.motorNamesList = [''] + self._getAllMotorNames() self.motorNamesList.sort() self.optsWindow.updateMotorList(self.motorNamesList) self.updateTree() experiment = str(self.expCBox.currentText()) if experiment != 'Generic Dichroism': self.selectExperiment(experiment) return def updateTree(self): mList = self.optsWindow.getMotors() labels = ["Group",'Legend','S#','Counter'] + mList items = [] for i in range(len(self.legendList)): # Loop through rows # Each row is represented by QStringList legend = self.legendList[i] values = self.motorsList[i] info = self.infoList[i] selection = '' # Determine Group from selectionDict for (idx, v) in self.selectionDict.items(): if (legend in v) and (idx != 'D'): selection = idx break # Add filename, scanNo, counter #sourceName = info.get('SourceName','') #if isinstance(sourceName,list): # filename = basename(sourceName[0]) #else: # filename = basename(sourceName) filename = legend scanNo = info.get('Key','') counter = info.get('ylabel',None) if counter is None: selDict = info.get('selection',{}) if len(selDict) == 0: counter = '' else: # When do multiple selections occur? try: yIdx = selDict['y'][0] cntList = selDict['cnt_list'] counter = cntList[yIdx] except Exception: counter = '' tmp = QStringList([selection, filename, scanNo, counter]) # Determine value for each motor for m in mList: if len(m) == 0: tmp.append('') else: tmp.append(str(values.get(m, '---'))) items.append(tmp) self.list.build(items, labels) for idx in range(self.list.columnCount()): self.list.resizeColumnToContents(idx) def setAsA(self): self.list.setSelectionAs('A') def setAsB(self): self.list.setSelectionAs('B') def _getAllMotorNames(self): names = [] for dic in self.motorsList: for key in dic.keys(): if key not in names: names.append(key) names.sort() return names def _convertInfoDictionary(self, infosList): ret = [] for info in infosList : motorNames = info.get('MotorNames', None) if motorNames is not None: if type(motorNames) == str: namesList = motorNames.split() elif type(motorNames) == list: namesList = motorNames else: namesList = [] else: namesList = [] motorValues = info.get('MotorValues', None) if motorNames is not None: if type(motorValues) == str: valuesList = motorValues.split() elif type(motorValues) == list: valuesList = motorValues else: valuesList = [] else: valuesList = [] if len(namesList) == len(valuesList): ret.append(dict(zip(namesList, valuesList))) else: print("Number of motors and values does not match!") return ret def _setLists(self): """ Curves retrieved from the main plot window using the Plugin1DBase getActiveCurve() resp. getAllCurves() member functions are tuple resp. a list of tuples containing x-data, y-data, legend and the info dictionary. _setLists splits these tuples into lists, thus setting the attributes self.legendList self.infoList self.motorsList """ if self.plotWindow is not None: curves = self.plotWindow.getAllCurves() else: if DEBUG: print('_setLists -- Set self.plotWindow before calling self._setLists') return # nCurves = len(curves) self.legendList = [leg for (xvals, yvals, leg, info) in curves] self.infoList = [info for (xvals, yvals, leg, info) in curves] # Try to recover the scan number from the legend, if not set # Requires additional import: #from re import search as regexpSearch #for ddict in self.infoList: # key = ddict.get('Key','') # if len(key)== 0: # selectionlegend = ddict['selectionlegend'] # match = regexpSearch(r'(?<= )\d{1,5}\.\d{1}',selectionlegend) # if match: # scanNo = match.group(0) # ddict['Key'] = scanNo self.motorsList = self._convertInfoDictionary(self.infoList) class XMCDFileDialog(qt.QFileDialog): def __init__(self, parent, caption, directory, filter): qt.QFileDialog.__init__(self, parent, caption, directory, filter) saveOptsGB = qt.QGroupBox('Save options', self) self.appendBox = qt.QCheckBox('Append to existing file', self) self.commentBox = qt.QTextEdit('Enter comment', self) mainLayout = self.layout() optsLayout = qt.QGridLayout() optsLayout.addWidget(self.appendBox, 0, 0) optsLayout.addWidget(self.commentBox, 1, 0) saveOptsGB.setLayout(optsLayout) mainLayout.addWidget(saveOptsGB, 4, 0, 1, 3) self.appendBox.stateChanged.connect(self.appendChecked) def appendChecked(self, state): if state == qt.Qt.Unchecked: self.setConfirmOverwrite(True) self.setFileMode(qt.QFileDialog.AnyFile) else: self.setConfirmOverwrite(False) self.setFileMode(qt.QFileDialog.ExistingFile) def getSaveFileName(parent, caption, directory, filter): dial = XMCDFileDialog(parent, caption, directory, filter) dial.setAcceptMode(qt.QFileDialog.AcceptSave) append = None comment = None files = [] if dial.exec_(): append = dial.appendBox.isChecked() comment = str(dial.commentBox.toPlainText()) if comment == 'Enter comment': comment = '' files = [qt.safe_str(fn) for fn in dial.selectedFiles()] return (files, append, comment) def main(): app = qt.QApplication([]) # Create dummy ScanWindow swin = sw.ScanWindow() info0 = {'xlabel': 'foo', 'ylabel': 'arb', 'MotorNames': 'oxPS PhaseA Phase BRUKER CRYO OXFORD', 'MotorValues': '1 -6.27247094 -3.11222732 6.34150808 -34.75892563 21.99607165'} info1 = {'MotorNames': 'PhaseD oxPS PhaseA Phase BRUKER CRYO OXFORD', 'MotorValues': '0.470746882688 0.25876374531 -0.18515967 -28.31216591 18.54513221 -28.09735532 -26.78833172'} info2 = {'MotorNames': 'PhaseD oxPS PhaseA Phase BRUKER CRYO OXFORD', 'MotorValues': '-9.45353059 -25.37448851 24.37665651 18.88048044 -0.26018745 2 0.901968648111 '} x = numpy.arange(100.,1100.) y0 = 10*x + 10000.*numpy.exp(-0.5*(x-500)**2/400) + 1500*numpy.random.random(1000.) y1 = 10*x + 10000.*numpy.exp(-0.5*(x-600)**2/400) + 1500*numpy.random.random(1000.) y2 = 10*x + 10000.*numpy.exp(-0.5*(x-400)**2/400) + 1500*numpy.random.random(1000.) swin.newCurve(x, y2, legend="Curve2", xlabel='ene_st2', ylabel='Ihor', info=info2, replot=False, replace=False) swin.newCurve(x, y0, legend="Curve0", xlabel='ene_st0', ylabel='Iver', info=info0, replot=False, replace=False) swin.newCurve(x, y1, legend="Curve1", xlabel='ene_st1', ylabel='Ihor', info=info1, replot=False, replace=False) # info['Key'] is overwritten when using newCurve swin.dataObjectsDict['Curve2 Ihor'].info['Key'] = '1.1' swin.dataObjectsDict['Curve0 Iver'].info['Key'] = '34.1' swin.dataObjectsDict['Curve1 Ihor'].info['Key'] = '123.1' w = XMCDWidget(None, swin, 'ID08', nSelectors = 5) w.show() # helpFileBrowser = qt.QTextBrowser() # helpFileBrowser.setLineWrapMode(qt.QTextEdit.FixedPixelWidth) # helpFileBrowser.setLineWrapColumnOrWidth(500) # helpFileBrowser.resize(520,400) # helpFileHandle = open('/home/truter/lab/XMCD_infotext.html') # helpFileHTML = helpFileHandle.read() # helpFileHandle.close() # helpFileBrowser.setHtml(helpFileHTML) # helpFileBrowser.show() app.exec_() if __name__ == '__main__': main() ��������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/QHDF5Stack1D.py��������������������������������������������������0000644�0002763�0000175�00000006345�13136054446�021162� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaIO import HDF5Stack1D from PyMca5.PyMcaGui.pymca import QHDF5StackWizard DEBUG = 0 class QHDF5Stack1D(HDF5Stack1D.HDF5Stack1D): def __init__(self, filelist=None, selection=None, scanlist=None, dtype=None): if (filelist is None) or (selection is None): wizard = QHDF5StackWizard.QHDF5StackWizard() if filelist is not None: wizard.setFileList(filelist) wizard.setStartId(1) ret = wizard.exec_() if ret != qt.QDialog.Accepted: raise ValueError("Incomplete selection") filelist, selection, scanlist = wizard.getParameters() HDF5Stack1D.HDF5Stack1D.__init__(self, filelist, selection, scanlist=scanlist, dtype=dtype) def onBegin(self, nfiles): self.bars =qt.QWidget() self.bars.setWindowTitle("Reading progress") self.barsLayout = qt.QGridLayout(self.bars) self.barsLayout.setContentsMargins(2, 2, 2, 2) self.barsLayout.setSpacing(3) self.progressBar = qt.QProgressBar(self.bars) self.progressLabel = qt.QLabel(self.bars) self.progressLabel.setText('Mca Progress:') self.barsLayout.addWidget(self.progressLabel,0,0) self.barsLayout.addWidget(self.progressBar,0,1) self.progressBar.setMaximum(nfiles) self.progressBar.setValue(0) self.bars.show() def onProgress(self,index): self.progressBar.setValue(index) def onEnd(self): self.bars.hide() del self.bars �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/pymca/PyMca_help.py����������������������������������������������������0000644�0002763�0000175�00000005300�13136054446�021207� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2014 E. Papillon, V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "E. Papillon & V.A. Sole - ESRF Software Group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" FileOpen= \ """ Click this button to open a <em>new file</em>.<br><br> You can also select the <b>Open</b> command from the <b>File</b> menu.""" FileSave= \ """Click this button to save the file you are editing.<br><br> You will be prompted for a filename.<br><br> You can also select the <b>Save</b> command from the <b>File</b> menu.""" SpecOpen= \ """<img source="spec"> Click this button to open a <em>new spec shared array</em>.<br><br> You can also select then <b>Open Spec</b> command from the <b>File</b> menu.""" FilePrint= \ """Click this button to print the file you are editing.<br><br> You can also select the <b>Print</b> command from the <b>File</b> menu.""" FullScreen= \ """<b>Maximize</b> current active window.<br> The window will occupy all application window. """ NoFullScreen= \ """Redisplay all windows using current window geometry.<br> Window geometry could be:<br> <b>Cascade</b>, <b>tile</b>, <b>tile horizontally</b> or <b>vertically</b> """ HelpDict= { "fileopen": FileOpen, "filesave": FileSave, "specopen": SpecOpen, "fileprint": FilePrint, "fullscreen": FullScreen, "nofullscreen": NoFullScreen, } ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/��������������������������������������������������������������������0000755�0002763�0000175�00000000000�13205526235�016111� 5����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/QSelectorWidget.py��������������������������������������������������0000644�0002763�0000175�00000006544�13136054446�021544� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() DEBUG = 0 class QSelectorWidget(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self._build() self._buildActions() def _build(self): """ Method to be overwritten to build the main widget """ if DEBUG: print("_build():Method to be overwritten") pass def _buildActions(self): self.buttonBox = qt.QWidget(self) buttonBox = self.buttonBox self.buttonBoxLayout = qt.QHBoxLayout(buttonBox) self.addButton = qt.QPushButton(buttonBox) self.addButton.setText("ADD") self.removeButton = qt.QPushButton(buttonBox) self.removeButton.setText("REMOVE") self.replaceButton = qt.QPushButton(buttonBox) self.replaceButton.setText("REPLACE") self.buttonBoxLayout.addWidget(self.addButton) self.buttonBoxLayout.addWidget(self.removeButton) self.buttonBoxLayout.addWidget(self.replaceButton) self.mainLayout.addWidget(buttonBox) self.addButton.clicked.connect(self._addClickedSlot) self.removeButton.clicked.connect(self._removeClicked) self.replaceButton.clicked.connect(self._replaceClicked) def _addClickedSlot(self): self._addClicked() def _addClicked(self): if DEBUG: print("_addClicked()") def _removeClicked(self): if DEBUG: print("_removeClicked()") def _replaceClicked(self): if DEBUG: print( "_replaceClicked()") def test(): app = qt.QApplication([]) w = QSelectorWidget() w.show() app.lastWindowClosed.connect(app.quit) app.exec_() if __name__ == "__main__": test() ������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/QSpecFileWidget.py��������������������������������������������������0000644�0002763�0000175�00000070202�13136054446�021446� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2014 E. Papillon, V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "E. Papillon, V.A. Sole - ESRF Software Group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui.io import QSelectorWidget from PyMca5.PyMcaGui.io import SpecFileDataInfo from PyMca5.PyMcaGui.io import SpecFileCntTable OBJECT3D = SpecFileCntTable.OBJECT3D from PyMca5.PyMcaGui.io import SpecFileMcaTable QTVERSION = qt.qVersion() DEBUG = 0 if QTVERSION > '4.2.0': class MyQTreeWidgetItem(qt.QTreeWidgetItem): def __lt__(self, other): c = self.treeWidget().sortColumn() if c == 0: return False if c != 2: return (float(self.text(c)) < float(other.text(c))) return (self.text(c) < other.text(c)) else: MyQTreeWidgetItem = qt.QTreeWidgetItem #class QSpecFileWidget(qt.QWidget): class QSpecFileWidget(QSelectorWidget.QSelectorWidget): sigAddSelection = qt.pyqtSignal(object) sigRemoveSelection = qt.pyqtSignal(object) sigReplaceSelection = qt.pyqtSignal(object) sigOtherSignals = qt.pyqtSignal(object) sigScanSelection = qt.pyqtSignal(object) sigScanDoubleClicked = qt.pyqtSignal(object) def __init__(self, parent=None, autoreplace=False): self.autoReplace = autoreplace if self.autoReplace: self.autoAdd = False else: self.autoAdd = True self._oldCntSelection = None QSelectorWidget.QSelectorWidget.__init__(self, parent) self.dataInfoWidgetDict = {} def _build(self): #self.layout= qt.QVBoxLayout(self) self.splitter = qt.QSplitter(self) self.splitter.setOrientation(qt.Qt.Vertical) self.list = qt.QTreeWidget(self.splitter) self.list.setSelectionMode(qt.QAbstractItemView.ExtendedSelection) self.mainTab = qt.QTabWidget(self.splitter) self.cntTable = SpecFileCntTable.SpecFileCntTable() self.mcaTable = SpecFileMcaTable.SpecFileMcaTable() self.mainTab.addTab(self.cntTable, str("Counters")) self.mainTab.addTab(self.mcaTable, str("MCA")) self.mainTab.setCurrentWidget(self.mcaTable) autoBox = qt.QWidget(self) autoBoxLayout = qt.QGridLayout(autoBox) autoBoxLayout.setContentsMargins(0, 0, 0, 0) autoBoxLayout.setSpacing(0) self.autoOffBox = qt.QCheckBox(autoBox) self.autoOffBox.setText("Auto OFF") self.autoAddBox = qt.QCheckBox(autoBox) self.autoAddBox.setText("Auto ADD") self.autoReplaceBox = qt.QCheckBox(autoBox) self.autoReplaceBox.setText("Auto REPLACE") row = 0 autoBoxLayout.addWidget(self.autoOffBox, row, 0) autoBoxLayout.addWidget(self.autoAddBox, row, 1) autoBoxLayout.addWidget(self.autoReplaceBox, row, 2) if self.autoReplace: self.autoAddBox.setChecked(False) self.autoReplaceBox.setChecked(True) else: self.autoAddBox.setChecked(True) self.autoReplaceBox.setChecked(False) row += 1 if OBJECT3D: self.object3DBox = qt.QCheckBox(autoBox) self.object3DBox.setText("3D On") autoBoxLayout.addWidget(self.object3DBox, row, 0) self.mcaTable.sigMcaDeviceSelected.connect(self.mcaDeviceSelected) self.meshBox = qt.QCheckBox(autoBox) self.meshBox.setText("Mesh") self.meshBox.setToolTip("Consider selection as a regular mesh") autoBoxLayout.addWidget(self.meshBox, row, 1) self.forceMcaBox = qt.QCheckBox(autoBox) self.forceMcaBox.setText("Force MCA") autoBoxLayout.addWidget(self.forceMcaBox, row, 2) self.mainLayout.addWidget(self.splitter) self.mainLayout.addWidget(autoBox) # --- list headers labels = ["X", "S#", "Command", "Points", "Nb. Mca"] ncols = len(labels) self.list.setColumnCount(ncols) self.list.setHeaderLabels(labels) #size=50 #self.list.header().resizeSection(0, size) #self.list.header().resizeSection(1, size) #self.list.header().resizeSection(2, 4 * size) #self.list.header().resizeSection(3, size) #self.list.header().resizeSection(4, size) self.list.header().setStretchLastSection(False) if QTVERSION > '5.0.0': self.list.header().setSectionResizeMode(0, qt.QHeaderView.ResizeToContents) self.list.header().setSectionResizeMode(1, qt.QHeaderView.ResizeToContents) self.list.header().setSectionResizeMode(2, qt.QHeaderView.Interactive) self.list.header().setSectionResizeMode(3, qt.QHeaderView.ResizeToContents) self.list.header().setSectionResizeMode(4, qt.QHeaderView.ResizeToContents) elif QTVERSION < '4.2.0': self.list.header().setResizeMode(0, qt.QHeaderView.Stretch) self.list.header().setResizeMode(1, qt.QHeaderView.Stretch) self.list.header().setResizeMode(2, qt.QHeaderView.Interactive) self.list.header().setResizeMode(3, qt.QHeaderView.Stretch) self.list.header().setResizeMode(4, qt.QHeaderView.Stretch) else: self.list.header().setResizeMode(0, qt.QHeaderView.ResizeToContents) self.list.header().setResizeMode(1, qt.QHeaderView.ResizeToContents) self.list.header().setResizeMode(2, qt.QHeaderView.Interactive) self.list.header().setResizeMode(3, qt.QHeaderView.ResizeToContents) self.list.header().setResizeMode(4, qt.QHeaderView.ResizeToContents) # --- signal handling self.list.itemSelectionChanged.connect(self.__selectionChanged) self.list.setContextMenuPolicy(qt.Qt.CustomContextMenu) self.list.customContextMenuRequested.connect(self.__contextMenu) self.list.itemDoubleClicked[qt.QTreeWidgetItem, int].connect( \ self.__doubleClicked) self.cntTable.sigSpecFileCntTableSignal.connect(self._cntSignal) if QTVERSION > '4.2.0': self.list.setSortingEnabled(False) self.list.header().sectionDoubleClicked[int].connect( \ self.__headerSectionDoubleClicked) if OBJECT3D: self.object3DBox.clicked.connect(self._setObject3DBox) if hasattr(self, 'meshBox'): self.meshBox.clicked.connect(self._setMeshBox) self.autoOffBox.clicked.connect(self._setAutoOff) self.autoAddBox.clicked.connect(self._setAutoAdd) self.autoReplaceBox.clicked.connect(self._setAutoReplace) self.forceMcaBox.clicked.connect(self._setForcedMca) self.mainTab.currentChanged[int].connect(self._tabChanged) self.disableMca = 0 #(type=="scan") self.disableScan = 0 #(type=="mca") # --- context menu self.data= None self.scans= [] def _setObject3DBox(self): self.autoAddBox.setChecked(False) self.meshBox.setChecked(False) self.autoReplaceBox.setChecked(False) self.autoOffBox.setChecked(False) self.cntTable.set3DEnabled(True) self.object3DBox.setChecked(True) def _setMeshBox(self): self.autoAddBox.setChecked(False) self.autoReplaceBox.setChecked(False) self.autoOffBox.setChecked(False) self.cntTable.set2DEnabled(True) if hasattr(self, "object3DBox"): self.object3DBox.setChecked(False) self.meshBox.setChecked(True) def _setAutoOff(self): if OBJECT3D: self.cntTable.set3DEnabled(False) self.object3DBox.setChecked(False) if hasattr(self, "meshBox"): self.cntTable.set2DEnabled(False) self.meshBox.setChecked(False) self.autoAddBox.setChecked(False) self.autoReplaceBox.setChecked(False) self.autoOffBox.setChecked(True) def _setAutoAdd(self): if OBJECT3D: self.cntTable.set3DEnabled(False) self.object3DBox.setChecked(False) if hasattr(self, "meshBox"): self.meshBox.setChecked(False) self.cntTable.set2DEnabled(False) self.autoOffBox.setChecked(False) self.autoReplaceBox.setChecked(False) self.autoAddBox.setChecked(True) def _setAutoReplace(self): if OBJECT3D: self.cntTable.set3DEnabled(False) self.object3DBox.setChecked(False) if hasattr(self, "meshBox"): self.cntTable.set2DEnabled(False) self.meshBox.setChecked(False) self.autoOffBox.setChecked(False) self.autoAddBox.setChecked(False) self.autoReplaceBox.setChecked(True) def _setForcedMca(self): if self.forceMcaBox.isChecked(): if OBJECT3D: self.object3DBox.setChecked(False) self.object3DBox.setEnabled(False) if hasattr(self, "meshBox"): self.meshBox.setChecked(False) self.meshBox.setEnabled(False) else: if OBJECT3D: self.object3DBox.setEnabled(True) if hasattr(self, "meshBox"): self.meshBox.setEnabled(True) # # Data management # #NEW data management def setDataSource(self, datasource): if DEBUG: print("setDataSource(self, datasource) called") print("datasource = ", datasource) self.data = datasource self.refresh() if not self.autoAddBox.isChecked(): return #If there is only one mca containing scan # and we are in auto add mode, I plot it. if len(self.scans) == 1: item = self.list.itemAt(qt.QPoint(0,0)) if item is not None: item.setSelected(True) self.__selectionChanged() #OLD data management def setData(self, specfiledata): if DEBUG: print("setData(self, specfiledata) called") print("specfiledata = ",specfiledata) self.data= specfiledata self.refresh() def refresh(self): self.list.clear() if self.data is None: return try: if self.data.sourceName is None: return except: if self.data.SourceName is None: return try: #new info= self.data.getSourceInfo() except: #old if not hasattr(self.data, "GetSourceInfo"): raise info= self.data.GetSourceInfo() self.scans= [] after= None i = 0 for (sn, cmd, pts, mca) in zip(info["KeyList"], info["Commands"], info["NumPts"], info["NumMca"]): if after is not None: #print "after is not none" #item= qt.QTreeWidgetItem(self.list, [after, "", sn, cmd, str(pts), str(mca)]) item= MyQTreeWidgetItem(self.list, ["", sn, cmd, str(pts), str(mca)]) else: item= MyQTreeWidgetItem(self.list, ["", sn, cmd, str(pts), str(mca)]) if (self.disableMca and not mca) or (self.disableScan and not pts): item.setSelectable(0) #XXX: not possible to put in italic: other solutions ?? self.scans.append(sn) after= item i = i + 1 def clear(self): self.list.clear() self.data= None self.scans= [] def markScanSelected(self, scanlist): for sn in self.scans: item= self.list.findItem(sn, 1) if item is not None: if sn in scanlist: item.setText(0, "X") else: item.setText(0, "") def _autoReplace(self, scanlist=None): if DEBUG: print("autoreplace called with ",scanlist) if self.autoReplaceBox.isChecked(): self._replaceClicked() elif self.autoAddBox.isChecked(): self._addClicked() # # signal/slot handling # def _cntSignal(self, ddict): if ddict["event"] == "updated": itemlist = self.list.selectedItems() sel = [str(item.text(1)) for item in itemlist] self._autoReplace(sel) def __selectionChanged(self): if DEBUG: print("__selectionChanged") itemlist = self.list.selectedItems() sel = [str(item.text(1)) for item in itemlist] if DEBUG: print("selection = ",sel) if not len(sel): return info = self.data.getKeyInfo(sel[0]) self.mcaTable.build(info) if False: # This does not work properly yet # TODO: mca as function of other parameter NbMca = info.get('NbMcaDet', 0) self.cntTable.build(info['LabelNames'], nmca=NbMca) else: self.cntTable.build(info['LabelNames'], nmca=0) autoReplaceCall = True if (info['Lines'] > 0) and len(info['LabelNames']): if self._oldCntSelection is not None: if len(self._oldCntSelection['y']): self.cntTable.setCounterSelection(self._oldCntSelection) else: if len(self.cntTable.cntList): self.cntTable.setCounterSelection({'x':[0], 'y':[-1], 'cntlist':info['LabelNames']*1}) else: if len(self.cntTable.cntList): self.cntTable.setCounterSelection({'x':[0], 'y':[-1], 'cntlist':info['LabelNames']*1}) # That already emitted a signal, no need to repeat with # autoreplace autoReplaceCall = False # Emit this signal for the case someone else uses it ... self.sigScanSelection.emit((sel)) if (info['NbMca'] > 0) and (info['Lines'] > 0): pass elif (info['NbMca'] > 0) and (info['Lines'] == 0): self.mainTab.setCurrentWidget(self.mcaTable) elif (info['NbMca'] == 0) and (info['Lines'] > 0): self.mainTab.setCurrentWidget(self.cntTable) else: pass # Next call is needed to handle the direct opening of MCAs # when using a single scan, single mca file. if autoReplaceCall: self._autoReplace(sel) def __headerSectionDoubleClicked(self, index): if index == 0: return else: self.list.sortItems(index, qt.Qt.AscendingOrder) #print "index = ", index def __doubleClicked(self, item): if DEBUG: print("__doubleClicked") if item is not None: sn = str(item.text(1)) ddict={} ddict['Key'] = sn ddict['Command'] = str(item.text(2)) ddict['NbPoints'] = int(str(item.text(3))) ddict['NbMca'] = int(str(item.text(4))) self.sigScanDoubleClicked.emit(ddict) #shortcut selec + remove? #for the time being just add self._addClicked() def __contextMenu(self, point): if DEBUG: print("__contextMenu",point) item = self.list.itemAt(point) if item is not None: sn= str(item.text(1)) self.menu= qt.QMenu() self.menu.addAction("Show scan header", self.__showScanInfo) self.menu_idx = self.scans.index(sn) self.menu.popup(self.cursor().pos()) def mcaDeviceSelected(self, ddict): action, actiontype = ddict['action'].split() mca = ddict['mca'] + 1 sel_list = [] itemlist = self.list.selectedItems() scan_sel = [str(item.text(1)) for item in itemlist] for scan in scan_sel: sel = {} sel['SourceName'] = self.data.sourceName sel['SourceType'] = self.data.sourceType sel['Key'] = "%s.%d"% (scan, mca) #sel['selection'] = None sel['selection'] = {} if actiontype.upper() == "STACK": sel['selection']['selectiontype'] = "STACK" sel['imageselection'] = False else: sel['selection']['selectiontype'] = "2D" sel['imageselection'] = True sel['scanselection'] = False sel['mcaselection'] = False sel['legend'] = os.path.basename(sel['SourceName'][0]) +" "+ sel['Key'] sel_list.append(sel) if len(scan_sel): if action == 'ADD': self.sigAddSelection.emit(sel_list) elif action == 'REMOVE': self.sigRemoveSelection.emit(sel_list) elif action == 'REPLACE': self.sigReplaceSelection.emit(sel_list) def __showScanInfo(self, idx = None): if idx is None: if QTVERSION > '4.0.0': idx = self.menu_idx if DEBUG: print("Scan information:") try: info = self.data.getDataObject(self.scans[idx]).info except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) text = "Error: %s\n accessing scan information." % (sys.exc_info()[1]) msg.setText(text) msg.exec_() if DEBUG: raise return dataInfoWidget= SpecFileDataInfo.SpecFileDataInfo(info) if "Header" in info: if info['Header'] is not None: dataInfoWidget.setWindowTitle(info['Header'][0]) dataInfoWidget.show() wid = id(dataInfoWidget) self.dataInfoWidgetDict[wid] = dataInfoWidget dataInfoWidget.notifyCloseEventToWidget(self) def _dataInfoClosed(self, ddict): if ddict['event'] == "SpecFileDataInfoClosed": del self.dataInfoWidgetDict[ddict['id']] def customEvent(self, event): if hasattr(event, 'dict'): ddict = event.dict self._dataInfoClosed(ddict) def _addClicked(self, emit=True): if DEBUG: print("Overwritten _addClicked method") #get selected scan keys if QTVERSION < '4.0.0': scan_sel= [sn for sn in self.scans if self.list.findItem(sn,1).isSelected()] else: itemlist = self.list.selectedItems() scan_sel = [str(item.text(1)) for item in itemlist] #get selected counter keys cnt_sel = self.cntTable.getCounterSelection() if len(cnt_sel['cntlist']): if len(cnt_sel['y']): self._oldCntSelection = cnt_sel mca_sel = self.mcaTable.getCurrentlySelectedMca() sel_list = [] #build the appropriate selection for mca's for scan in scan_sel: for mca in mca_sel: sel = {} sel['SourceName'] = self.data.sourceName sel['SourceType'] = self.data.sourceType sel['Key'] = scan sel['Key'] += "."+mca sel['selection'] = None #for the future #sel['scanselection'] = False sel['legend'] = os.path.basename(sel['SourceName'][0]) +" "+ sel['Key'] sel_list.append(sel) if len(cnt_sel['cntlist']): if len(cnt_sel['y']): #if there is something to plot sel = {} sel['SourceName'] = self.data.sourceName sel['SourceType'] = self.data.sourceType sel['Key'] = scan sel['selection'] = {} if self.forceMcaBox.isChecked(): sel['scanselection'] = "MCA" else: sel['scanselection'] = True sel['selection']['x'] = cnt_sel['x'] if len(sel['selection']['x']) == 2: if self.meshBox.isChecked(): sel['selection']['selectiontype'] = "2D" sel['selection']['y'] = cnt_sel['y'] sel['selection']['m'] = cnt_sel['m'] sel['selection']['cntlist'] = cnt_sel['cntlist'] sel['legend'] = os.path.basename(sel['SourceName'][0]) +" "+ sel['Key'] if cnt_sel['y'][0] >= len(cnt_sel['cntlist']): if 'mcalist' in cnt_sel: sel['selection']['mcalist'] = cnt_sel['mcalist'] else: # I could rise the exception here # but I let the data source to rise it. pass sel_list.append(sel) if emit: if len(sel_list): self.sigAddSelection.emit(sel_list) else: return sel_list def currentSelectionList(self): return self._addClicked(emit=False) def _removeClicked(self): if DEBUG: print("Overwritten _removeClicked method") #get selected scan keys itemlist = self.list.selectedItems() scan_sel = [str(item.text(1)) for item in itemlist] #get selected counter keys cnt_sel = self.cntTable.getCounterSelection() mca_sel = self.mcaTable.getCurrentlySelectedMca() sel_list = [] #build the appropriate selection for mca's for scan in scan_sel: for mca in mca_sel: sel = {} sel['SourceName'] = self.data.sourceName sel['SourceType'] = self.data.sourceType sel['Key'] = scan sel['Key'] += "."+mca sel['selection'] = None #for the future #sel['scanselection'] = False sel['legend'] = os.path.basename(sel['SourceName'][0]) +" "+sel['Key'] sel_list.append(sel) if len(cnt_sel['cntlist']): if len(cnt_sel['y']): #if there is something to plot sel = {} sel['SourceName'] = self.data.sourceName sel['SourceType'] = self.data.sourceType sel['Key'] = scan sel['selection'] = {} if self.forceMcaBox.isChecked(): sel['scanselection'] = "MCA" else: sel['scanselection'] = True sel['selection']['x'] = cnt_sel['x'] if len(sel['selection']['x']) == 2: if self.meshBox.isChecked(): sel['selection']['selectiontype'] = "2D" sel['selection']['y'] = cnt_sel['y'] sel['selection']['m'] = cnt_sel['m'] sel['selection']['cntlist'] = cnt_sel['cntlist'] sel['legend'] = os.path.basename(sel['SourceName'][0]) +" "+ sel['Key'] sel_list.append(sel) if len(sel_list): self.sigRemoveSelection.emit(sel_list) def _replaceClicked(self): if DEBUG: print("Overwritten _replaceClicked method") #get selected scan keys itemlist = self.list.selectedItems() scan_sel = [str(item.text(1)) for item in itemlist] #get selected counter keys cnt_sel = self.cntTable.getCounterSelection() if len(cnt_sel['cntlist']): if len(cnt_sel['y']): self._oldCntSelection = cnt_sel mca_sel = self.mcaTable.getCurrentlySelectedMca() sel_list = [] #build the appropriate selection for mca's for scan in scan_sel: for mca in mca_sel: sel = {} sel['SourceName'] = self.data.sourceName sel['SourceType'] = self.data.sourceType sel['Key'] = scan sel['Key'] += "."+mca sel['selection'] = None #for the future #sel['scanselection'] = False #This could also be MCA sel['legend'] = os.path.basename(sel['SourceName'][0]) +" "+sel['Key'] sel_list.append(sel) if len(cnt_sel['cntlist']): sel = {} sel['SourceName'] = self.data.sourceName sel['SourceType'] = self.data.sourceType sel['Key'] = scan if len(cnt_sel['y']): #if there is something to plot if self.forceMcaBox.isChecked(): sel['scanselection'] = "MCA" else: sel['scanselection'] = True #This could also be SCAN sel['selection'] = {} sel['selection']['x'] = cnt_sel['x'] if len(sel['selection']['x']) == 2: if self.meshBox.isChecked(): sel['selection']['selectiontype'] = "2D" sel['selection']['y'] = cnt_sel['y'] sel['selection']['m'] = cnt_sel['m'] sel['selection']['cntlist'] = cnt_sel['cntlist'] sel['legend'] = os.path.basename(sel['SourceName'][0]) +" "+ sel['Key'] if cnt_sel['y'][0] >= len(cnt_sel['cntlist']): if 'mcalist' in cnt_sel: sel['selection']['mcalist'] = cnt_sel['mcalist'] else: # I could rise the exception here # but I let the data source to rise it. pass sel_list.append(sel) if len(sel_list): self.sigReplaceSelection.emit(sel_list) def _tabChanged(self, value): if DEBUG: print("self._tabChanged(value), value = ",value) text = str(self.mainTab.tabText(value)) if self.data is None: return ddict = {} ddict['SourceName'] = self.data.sourceName ddict['SourceType'] = self.data.sourceType ddict['event'] = "SelectionTypeChanged" ddict['SelectionType'] = text self.sigOtherSignals.emit(ddict) def test(): from PyMca5.PyMcaGui.pymca import QDataSource a = qt.QApplication(sys.argv) w = QSpecFileWidget() if len(sys.argv) > 1: d = QDataSource.QDataSource(sys.argv[1]) else: if os.path.exists('03novs060sum.mca'): d = QDataSource.QDataSource('03novs060sum.mca') else: print("Usage:") print(" python QSpecFileWidget.py filename") a.quit() sys.exit(0) w.setData(d) w.show() def mySlot(selection): print(selection) try: # this is only for "addSelection" print(d.getDataObject(selection[0]['Key'], selection[0]['selection'])) except: pass return w.sigAddSelection.connect(mySlot) w.sigRemoveSelection.connect(mySlot) w.sigReplaceSelection.connect(mySlot) a.lastWindowClosed.connect(a.quit) a.exec_() if __name__=="__main__": test() ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/SpecFileCntTable.py�������������������������������������������������0000644�0002763�0000175�00000025062�13136054446�021602� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2017 E. Papillon, V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "E. Papillon, V.A. Sole - ESRF Software Group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() DEBUG = 0 try: import PyMca5.Object3D OBJECT3D = True except: OBJECT3D = False class SpecFileCntTable(qt.QTableWidget): sigSpecFileCntTableSignal = qt.pyqtSignal(object) def __init__(self, parent=None): qt.QTableWidget.__init__(self, parent) self.cntList = [] self.mcaList = [] self.xSelection = [] self.ySelection = [] self.monSelection = [] self.__is3DEnabled = False self.__is2DEnabled = False labels = ['Counter', 'X ', 'Y ', 'Mon'] self.setColumnCount(len(labels)) for i in range(len(labels)): item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(labels[i], qt.QTableWidgetItem.Type) item.setText(labels[i]) self.setHorizontalHeaderItem(i,item) """ #the cell is not the same as the check box #but I wonder about the checkboxes being destroyed self.cellClicked[int, int].connect(self._mySlot) """ def build(self, cntlist, nmca=None): if not OBJECT3D: nmca = 0 nmca = 0 if nmca is None: nmca = 0 self.cntList = cntlist self.mcaList = [] n = len(cntlist) self.setRowCount(n) if n > 0: self.setRowCount(n + nmca) rheight = self.horizontalHeader().sizeHint().height() for i in range(n): self.setRowHeight(i, rheight) self.__addLine(i, cntlist[i]) for j in range(1, 4, 1): widget = self.cellWidget(i, j) widget.setEnabled(True) for j in range(nmca): row = n+j self.setRowHeight(n+j, rheight) mca = "Mca %d" % (j+1) self.mcaList.append(mca) self.__addLine(n+j, self.mcaList[j]) #the x checkbox widget = self.cellWidget(row, 1) widget.setChecked(False) widget.setEnabled(False) #the y checkbox widget = self.cellWidget(row, 2) widget.setChecked(False) widget.setEnabled(True) #the Monitor checkbox widget = self.cellWidget(row, 3) widget.setChecked(False) widget.setEnabled(False) else: self.setRowCount(0) self.resizeColumnToContents(1) self.resizeColumnToContents(2) self.resizeColumnToContents(3) def __addLine(self, i, cntlabel): #the counter name item = self.item(i, 0) if item is None: item = qt.QTableWidgetItem(cntlabel, qt.QTableWidgetItem.Type) item.setTextAlignment(qt.Qt.AlignHCenter | qt.Qt.AlignVCenter) self.setItem(i, 0, item) else: item.setText(cntlabel) #item is just enabled (not selectable) item.setFlags(qt.Qt.ItemIsEnabled) #the checkboxes for j in range(1, 4, 1): widget = self.cellWidget(i, j) if widget is None: widget = CheckBoxItem(self, i, j) self.setCellWidget(i, j, widget) widget.sigCheckBoxItemSignal.connect(self._mySlot) else: pass def set3DEnabled(self, value): self.__is2DEnabled = False if value: self.__is3DEnabled = True if len(self.xSelection) > 3: self.xSelection = self.xSelection[-3:] else: self.__is3DEnabled = False if len(self.xSelection) > 1: self.xSelection = [1 * self.xSelection[0]] self._update() def set2DEnabled(self, value): self.__is3DEnabled = False if value: self.__is2DEnabled = True if len(self.xSelection) > 2: self.xSelection = self.xSelection[-2:] else: self.__is2DEnabled = False if len(self.xSelection) > 1: self.xSelection = [1 * self.xSelection[0]] self._update() def _mySlot(self, ddict): row = ddict["row"] col = ddict["col"] if col == 1: if ddict["state"]: if row not in self.xSelection: self.xSelection.append(row) else: if row in self.xSelection: del self.xSelection[self.xSelection.index(row)] if (not OBJECT3D) or (not self.__is3DEnabled): if len(self.xSelection) > 2: #that is to support mesh plots self.xSelection = self.xSelection[-2:] if not self.__is2DEnabled: if len(self.xSelection) > 1: self.xSelection = self.xSelection[-1:] elif len(self.xSelection) > 3: self.xSelection = self.xSelection[-3:] if col == 2: if ddict["state"]: if row not in self.ySelection: self.ySelection.append(row) else: if row in self.ySelection: del self.ySelection[self.ySelection.index(row)] if col == 3: if ddict["state"]: if row not in self.monSelection: self.monSelection.append(row) else: if row in self.monSelection: del self.monSelection[self.monSelection.index(row)] if len(self.monSelection) > 1: self.monSelection = self.monSelection[-1:] self._update() def _update(self): for i in range(self.rowCount()): j = 1 widget = self.cellWidget(i, j) if i in self.xSelection: if not widget.isChecked(): widget.setChecked(True) else: if widget.isChecked(): widget.setChecked(False) j = 2 widget = self.cellWidget(i, j) if i in self.ySelection: if not widget.isChecked(): widget.setChecked(True) else: if widget.isChecked(): widget.setChecked(False) j = 3 widget = self.cellWidget(i, j) if i in self.monSelection: if not widget.isChecked(): widget.setChecked(True) else: if widget.isChecked(): widget.setChecked(False) ddict = {} ddict["event"] = "updated" self.sigSpecFileCntTableSignal.emit(ddict) def getCounterSelection(self): ddict = {} ddict['cntlist'] = self.cntList * 1 ddict['mcalist'] = self.mcaList * 1 ddict['x'] = self.xSelection * 1 ddict['y'] = self.ySelection * 1 ddict['m'] = self.monSelection * 1 return ddict def setCounterSelection(self, ddict): keys = ddict.keys() if 'cntlist' in keys: cntlist = ddict['cntlist'] else: cntlist = self.cntList * 1 if 'x' in keys: x = ddict['x'] else: x = [] if 'y' in keys: y = ddict['y'] else: y = [] if 'm' in keys: monitor = ddict['m'] else: monitor = [] self.xSelection = [] for item in x: if item < len(cntlist): counter = cntlist[item] if counter in self.cntList: self.xSelection.append(self.cntList.index(counter)) else: self.xSelection.append(item) self.ySelection = [] for item in y: if item < len(cntlist): counter = cntlist[item] if counter in self.cntList: self.ySelection.append(self.cntList.index(counter)) self.monSelection = [] for item in monitor: if item < len(cntlist): counter = cntlist[item] if counter in self.cntList: self.monSelection.append(self.cntList.index(counter)) self._update() class CheckBoxItem(qt.QCheckBox): sigCheckBoxItemSignal = qt.pyqtSignal(object) def __init__(self, parent, row, col): qt.QCheckBox.__init__(self, parent) self.__row = row self.__col = col self.clicked[bool].connect(self._mySignal) def _mySignal(self, value): ddict = {} ddict["event"] = "clicked" ddict["state"] = value ddict["row"] = self.__row * 1 ddict["col"] = self.__col * 1 self.sigCheckBoxItemSignal.emit(ddict) def main(): app = qt.QApplication([]) tab = SpecFileCntTable() tab.build(["Cnt1", "Cnt2", "Cnt3"]) tab.setCounterSelection({'x':[1, 2], 'y':[4], 'cntlist':["dummy", "Cnt0", "Cnt1", "Cnt2", "Cnt3"]}) tab.show() app.exec_() if __name__ == "__main__": main() ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/PyMcaFileDialogs.py�������������������������������������������������0000644�0002763�0000175�00000030010�13136054446�021574� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5 import PyMcaDirs QTVERSION = qt.qVersion() def getExistingDirectory(parent=None, message=None, mode=None): if message is None: message = "Please select a directory" if mode is None: mode = "OPEN" else: mode = mode.upper() if mode == "OPEN": wdir = PyMcaDirs.inputDir else: wdir = PyMcaDirs.outputDir if PyMcaDirs.nativeFileDialogs: outdir = qt.safe_str(qt.QFileDialog.getExistingDirectory(parent, message, wdir)) else: outfile = qt.QFileDialog(parent) outfile.setWindowTitle("Output Directory Selection") outfile.setModal(1) outfile.setDirectory(wdir) outfile.setFileMode(outfile.DirectoryOnly) ret = outfile.exec_() if ret: outdir = qt.safe_str(outfile.selectedFiles()[0]) else: outdir = "" outfile.close() del outfile if len(outdir): if mode == "OPEN": PyMcaDirs.inputDir = os.path.dirname(outdir) if PyMcaDirs.outputDir is None: PyMcaDirs.outputDir = os.path.dirname(outdir) else: PyMcaDirs.outputDir = os.path.dirname(outdir) if PyMcaDirs.inputDir is None: PyMcaDirs.inputDir = os.path.dirname(outdir) return outdir def getFileList(parent=None, filetypelist=None, message=None, currentdir=None, mode=None, getfilter=None, single=False, currentfilter=None, native=None): if filetypelist is None: fileTypeList = ['All Files (*)'] else: fileTypeList = filetypelist if currentfilter not in filetypelist: currentfilter = None if currentfilter is None: currentfilter = filetypelist[0] if message is None: if single: message = "Please select one file" else: message = "Please select one or more files" if mode is None: mode = "OPEN" else: mode = mode.upper() if currentdir is None: if mode == "OPEN": wdir = PyMcaDirs.inputDir else: wdir = PyMcaDirs.outputDir else: wdir = currentdir if native is None: nativeFileDialogs = PyMcaDirs.nativeFileDialogs else: nativeFileDialogs = native if getfilter is None: getfilter = False if getfilter: if QTVERSION < '4.5.1': native_possible = False else: native_possible = True else: native_possible = True filterused = None if native_possible and nativeFileDialogs: filetypes = currentfilter for filetype in fileTypeList: if filetype != currentfilter: filetypes += ";;" + filetype if getfilter: if mode == "OPEN": if single and hasattr(qt.QFileDialog, "getOpenFileNameAndFilter"): filelist, filterused = qt.QFileDialog.getOpenFileNameAndFilter(parent, message, wdir, filetypes, currentfilter) filelist =[filelist] elif single: # PyQt5 filelist, filterused = qt.QFileDialog.getOpenFileName(parent, message, wdir, filetypes, currentfilter) filelist =[filelist] elif hasattr(qt.QFileDialog, "getOpenFileNamesAndFilter"): filelist, filterused = qt.QFileDialog.getOpenFileNamesAndFilter(parent, message, wdir, filetypes, currentfilter) else: # PyQt5 filelist, filterused = qt.QFileDialog.getOpenFileNames(parent, message, wdir, filetypes, currentfilter) filterused = qt.safe_str(filterused) else: if QTVERSION < '5.0.0': filelist = qt.QFileDialog.getSaveFileNameAndFilter(parent, message, wdir, filetypes) else: filelist = qt.QFileDialog.getSaveFileName(parent, message, wdir, filetypes) if len(filelist[0]): filterused = qt.safe_str(filelist[1]) filelist=[filelist[0]] else: filelist = [] else: if mode == "OPEN": if single: if QTVERSION < '5.0.0': filelist = [qt.QFileDialog.getOpenFileName(parent, message, wdir, filetypes)] else: filelist, filterused = qt.QFileDialog.getOpenFileName(parent, message, wdir, filetypes) filelist = [filelist] else: filelist = qt.QFileDialog.getOpenFileNames(parent, message, wdir, filetypes) else: if QTVERSION < '5.0.0': filelist = qt.QFileDialog.getSaveFileName(parent, message, wdir, filetypes) else: filelist, filterused = qt.QFileDialog.getSaveFileName(parent, message, wdir, filetypes) filelist = qt.safe_str(filelist) if len(filelist): filelist = [filelist] else: filelist = [] if not len(filelist): if getfilter: return [], filterused else: return [] elif filterused is None: sample = qt.safe_str(filelist[0]) for filetype in fileTypeList: ftype = filetype.replace("(", "") ftype = ftype.replace(")", "") extensions = ftype.split()[2:] for extension in extensions: if sample.endswith(extension[-3:]): filterused = filetype break else: fdialog = qt.QFileDialog(parent) fdialog.setModal(True) fdialog.setWindowTitle(message) if hasattr(qt, "QStringList"): strlist = qt.QStringList() else: strlist = [] strlist.append(currentfilter) for filetype in fileTypeList: if filetype != currentfilter: strlist.append(filetype) if hasattr(fdialog, "setFilters"): fdialog.setFilters(strlist) else: fdialog.setNameFilters(strlist) if mode == "OPEN": fdialog.setFileMode(fdialog.ExistingFiles) else: fdialog.setAcceptMode(fdialog.AcceptSave) fdialog.setFileMode(fdialog.AnyFile) fdialog.setDirectory(wdir) if QTVERSION > '4.3.0': history = fdialog.history() if len(history) > 6: fdialog.setHistory(history[-6:]) ret = fdialog.exec_() if ret != qt.QDialog.Accepted: fdialog.close() del fdialog if getfilter: return [], filterused else: return [] else: filelist = fdialog.selectedFiles() if single: filelist = [filelist[0]] if QTVERSION < "5.0.0": filterused = qt.safe_str(fdialog.selectedFilter()) else: filterused = qt.safe_str(fdialog.selectedNameFilter()) if mode != "OPEN": if "." in filterused: extension = filterused.replace(")", "") if "(" in extension: extension = extension.split("(")[-1] extensionList = extension.split() txt = qt.safe_str(filelist[0]) for extension in extensionList: extension = extension.split(".")[-1] if extension != "*": txt = qt.safe_str(filelist[0]) if txt.endswith(extension): break else: txt = txt+"."+extension filelist[0] = txt fdialog.close() del fdialog filelist = [qt.safe_str(x) for x in filelist] if not(len(filelist)): return [] if mode == "OPEN": PyMcaDirs.inputDir = os.path.dirname(filelist[0]) if PyMcaDirs.outputDir is None: PyMcaDirs.outputDir = os.path.dirname(filelist[0]) else: PyMcaDirs.outputDir = os.path.dirname(filelist[0]) if PyMcaDirs.inputDir is None: PyMcaDirs.inputDir = os.path.dirname(filelist[0]) #do not sort file list in order to allow the user other choices #filelist.sort() if getfilter: return filelist, filterused else: return filelist if __name__ == "__main__": app = qt.QApplication([]) fileTypeList = ['PNG Files (*.png *.jpg)', 'TIFF Files (*.tif *.tiff)'] print(getExistingDirectory()) PyMcaDirs.nativeFileDialogs = False print(getExistingDirectory()) PyMcaDirs.nativeFileDialogs = True print(getFileList(parent=None, filetypelist=fileTypeList, message="Please select a file", mode="SAVE", getfilter=True, single=True)) PyMcaDirs.nativeFileDialogs = False print(getFileList(parent=None, filetypelist=fileTypeList, message="Please select input files", mode="OPEN", getfilter=True, currentfilter='TIFF Files (*.tif *.tiff)', single=False)) #app.exec_() ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/SpecFileDataInfo.py�������������������������������������������������0000644�0002763�0000175�00000026475�13136054446�021604� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt try: from silx.gui.widgets.TableWidget import TableWidget except ImportError: from PyMca5.PyMcaGui.misc.TableWidget import TableWidget QTVERSION = qt.qVersion() class QTable(TableWidget): def setText(self, row, col, text): if qt.qVersion() < "4.0.0": QTable.setText(self, row, col, text) else: item = self.item(row, col) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(row, col, item) else: item.setText(text) class SpecFileDataInfoCustomEvent(qt.QEvent): def __init__(self, ddict): if ddict is None: ddict = {} self.dict = ddict qt.QEvent.__init__(self, qt.QEvent.User) class SpecFileDataInfo(qt.QTabWidget): InfoTableItems= [ ("SourceType", "Type"), ("SourceName", "Filename"), ("Date", "Date"), ("Command", "Command"), ("Key", "Scan Number"), ("Lines", "Nb Lines"), ("NbMca", "Nb Mca Spectrum"), ("NbMcaDet", "Nb Mca Detectors"), ("McaCalib", "Mca Calibration"), ("McaPresetTime", "Mca Preset Time"), ("McaLiveTime", "Mca Live Time"), ("McaRealTime", "Mca Real Time"), #EDF Related ("HeaderID", "HeaderID"), ("Image", "Image"), ("DataType", "Data Type"), ("ByteOrder", "Byte Order"), ("Dim_1", "1st Dimension"), ("Dim_2", "2nd Dimension"), ("Dim_3", "3rd Dimension"), ("Size", "File Data Size"), ] def __init__(self, info, parent=None, name="DataSpecFileInfo", fl=0): if QTVERSION < '4.0.0': qt.QTabWidget.__init__(self, parent, name, fl) self.setContentsMargins(5, 5, 5, 5) else: qt.QTabWidget.__init__(self, parent) if name is not None:self.setWindowTitle(name) self._notifyCloseEventToWidget = [] self.info= info self.__createInfoTable() self.__createMotorTable() self.__createCounterTable() self.__createHeaderText() self.__createEDFHeaderText() self.__createFileHeaderText() if QTVERSION > '4.0.0': def sizeHint(self): return qt.QSize(2 * qt.QTabWidget.sizeHint(self).width(), 3 * qt.QTabWidget.sizeHint(self).height()) def notifyCloseEventToWidget(self, widget): if widget not in self._notifyCloseEventToWidget: self._notifyCloseEventToWidget.append(widget) def __createInfoTable(self): pars= [ par for par in self.InfoTableItems if par[0] in self.info.keys() ] num= len(pars) if num: table= self.__createTable(num, "Parameter", "Value") for idx in range(num): table.setText(idx, 0, str(pars[idx][1])) table.setText(idx, 1, str(self.info.get(pars[idx][0], "-"))) self.__adjustTable(table) self.addTab(table, "Info") def __createTable(self, rows, head_par, head_val): if qt.qVersion() < '4.0.0': table= QTable(self) else: table= QTable() table.setColumnCount(2) table.setRowCount(rows) if qt.qVersion() < '4.0.0': table.setReadOnly(1) table.setSelectionMode(QTable.SingleRow) else: table.setSelectionMode(qt.QTableWidget.NoSelection) table.verticalHeader().hide() if qt.qVersion() < '4.0.0': table.setLeftMargin(0) table.horizontalHeader().setLabel(0, head_par) table.horizontalHeader().setLabel(1, head_val) else: labels = [head_par, head_val] for i in range(len(labels)): item = table.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(labels[i], qt.QTableWidgetItem.Type) item.setText(labels[i]) table.setHorizontalHeaderItem(i,item) return table def __adjustTable(self, table): for col in range(table.columnCount()): table.resizeColumnToContents(col) if qt.qVersion() > '4.0.0': rheight = table.horizontalHeader().sizeHint().height() for row in range(table.rowCount()): table.setRowHeight(row, rheight) def __createMotorTable(self): nameKeys = ["MotorNames", "motor_mne"] for key in nameKeys: names= self.info.get(key, None) if names is not None: if key != nameKeys[0]: #EDF like ... tmpString = names.replace('"','') #ID01 specific tmpKey = key + '~1' if tmpKey in self.info: tmpString += self.info[tmpKey].replace('"','') names = tmpString.split() break valKeys = ["MotorValues", "motor_pos"] for key in valKeys: pos= self.info.get(key, None) if pos is not None: if key != valKeys[0]: #EDF like ... tmpString = pos.replace('"', '') #ID01 specific tmpKey = key + '~1' if tmpKey in self.info: tmpString += self.info[tmpKey].replace('"','') pos = tmpString.split() break if names is not None and pos is not None: num= len(names) if num != len(pos): print("Incorrent number of labels or values") return if num: table= self.__createTable(num, "Motor", "Position") for idx in range(num): table.setText(idx, 0, str(names[idx])) table.setText(idx, 1, str(pos[idx])) self.__adjustTable(table) self.addTab(table, "Motors") def __createCounterTable(self): nameKeys = ["LabelNames", "counter_mne"] for key in nameKeys: cnts= self.info.get(key, None) if cnts is not None: if key != nameKeys[0]: #EDF like ... cnts = cnts.split() break valKeys = ["LabelValues", "counter_pos"] for key in valKeys: vals= self.info.get(key, None) if vals is not None: if key != valKeys[0]: #EDF like ... vals = vals.split() break if cnts is not None and vals is not None: num= len(cnts) if num != len(vals): print("Incorrent number of labels or values") return if num: table= self.__createTable(num, "Counter", "Value") for idx in range(num): table.setText(idx, 0, str(cnts[idx])) table.setText(idx, 1, str(vals[idx])) self.__adjustTable(table) self.addTab(table, "Counters") def __createHeaderText(self): text = self.info.get("SourceType","") if text.upper() in ['EDFFILE', 'EDFFILESTACK']: return text= self.info.get("Header", None) if text is not None: if qt.qVersion() < '4.0.0': wid = qt.QTextEdit(self) wid.setText("\n".join(text)) else: wid = qt.QTextEdit() wid.insertHtml("<BR>".join(text)) wid.setReadOnly(1) self.addTab(wid, "Scan Header") def __createEDFHeaderText(self): text = self.info.get("SourceType","") if text.upper() not in ['EDFFILE', 'EDFFILESTACK']: return keys = self.info.keys() nameKeys = [] vals = [] for key in keys: if key in ['SourceName', 'SourceType']: continue nameKeys.append(key) vals.append(self.info.get(key," --- ")) num = len(nameKeys) if num: table= self.__createTable(num, "Keyword", "Value") for idx in range(num): table.setText(idx, 0, str(nameKeys[idx])) table.setText(idx, 1, str(vals[idx])) self.__adjustTable(table) self.addTab(table, "Header") def __createFileHeaderText(self): text= self.info.get("FileHeader", None) if text not in [None, []]: if qt.qVersion() < '4.0.0': wid = qt.QTextEdit(self) wid.setText("\n".join(text)) else: wid = qt.QTextEdit() wid.insertHtml("<BR>".join(text)) wid.setReadOnly(1) self.addTab(wid, "File Header") def closeEvent(self, event): ddict = {} ddict['event'] = "SpecFileDataInfoClosed" ddict['id'] = id(self) #self.sigSpecFileDataInfoSignal.emit(ddict) if len(self._notifyCloseEventToWidget): for widget in self._notifyCloseEventToWidget: newEvent = SpecFileDataInfoCustomEvent(ddict) qt.QApplication.postEvent(widget, newEvent) self._notifyCloseEventToWidget = [] return qt.QTabWidget.closeEvent(self, event) def test(): from PyMca5.PyMcaCore import SpecFileLayer if len(sys.argv) < 3: print("USAGE: %s <filename> <key>" % sys.argv[0]) sys.exit(0) d = SpecFileLayer.SpecFileLayer() d.SetSource(sys.argv[1]) info,data = d.LoadSource(sys.argv[2]) app= qt.QApplication([]) wid= SpecFileDataInfo(info) wid.show() app.exec_() if __name__ == "__main__": test() ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/__init__.py���������������������������������������������������������0000644�0002763�0000175�00000003214�13136054446�020225� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os baseDirectory = os.path.dirname(__file__) __path__ += [os.path.join(baseDirectory, "hdf5")] ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/QEdfFileWidget.py���������������������������������������������������0000644�0002763�0000175�00000220120�13136054446�021246� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2016 E. Papillon, V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "E. Papillon, V.A. Sole - ESRF Software Group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os.path import numpy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PlotWidget if not hasattr(qt, 'QString'): QString = qt.safe_str QStringList = list else: QString = qt.QString QStringList = qt.QStringList QTVERSION = qt.qVersion() QT4=True from PyMca5.PyMcaGui import QPyMcaMatplotlibSave MATPLOTLIB = True from PyMca5.PyMcaGui import IconDict from PyMca5.PyMcaGui import ColormapDialog from PyMca5.PyMcaGui import PyMcaPrintPreview from PyMca5.PyMcaIO import ArraySave from PyMca5 import PyMcaDirs from . import SpecFileDataInfo from PyMca5 import spslut COLORMAPLIST = [spslut.GREYSCALE, spslut.REVERSEGREY, spslut.TEMP, spslut.RED, spslut.GREEN, spslut.BLUE, spslut.MANY] DEBUG = 0 SOURCE_TYPE = 'EdfFile' __revision__ = "$Revision: 1.35 $" class EdfFile_StandardArray(qt.QWidget): sigWidgetSignal = qt.pyqtSignal(object) def __init__(self, parent=None, name="Edf_StandardArray", images=None, rows=None, cols=None): if images is None: images = 1 if rows is None: rows = 0 if cols is None: cols = 0 qt.QWidget.__init__(self, parent) layout = qt.QGridLayout(self) layout.setContentsMargins(5, 5, 5, 5) ilab= qt.QLabel("Image:", self) self.plab= qt.QLabel("Plot", self) self.ylab= qt.QLabel("Columns :", self) layout.addWidget(ilab, 0, 0, qt.Qt.AlignRight) layout.addWidget(self.plab, 1, 0, qt.Qt.AlignRight) layout.addWidget(self.ylab, 2, 0, qt.Qt.AlignRight|qt.Qt.AlignTop) self.iCombo= qt.QComboBox(self) self.iCombo.setEditable(0) self.plotCombo= qt.QComboBox(self) self.plotCombo.setEditable(0) self.plotCombo.insertItems(0, ["Rows", "Columns"]) self.yList= qt.QListWidget(self) #self.yList.setSelectionMode(qt.QListBox.Multi) layout.addWidget(self.iCombo, 0, 1) layout.addWidget(self.plotCombo,1, 1) layout.addWidget(self.yList, 2, 1) self.plotCombo.activated[int].connect(self.__plotChanged) self.iCombo.activated[int].connect(self.__iChanged) self.setImages(images) self.setDataSize(rows, cols) def setImages(self,images,info=None): self.iCombo.clear() if info is None: info = [] for i in range(images): if len(info) == images: self.iCombo.insertItem(i, "Image %d Key %s" % (i,info[i])) else: self.iCombo.insertItem(i, "Image %d" % i) def setCurrentImage(self,image): if image < self.iCombo.count(): self.iCombo.setCurrentIndex(image) def setDataSize(self, rows, cols): self.rows= rows self.cols= cols idx = self.cols <= self.rows self.plotCombo.setCurrentIndex(idx) self.__plotChanged(idx) def __plotChanged(self, index): if index==1: self.ylab.setText('Columns') txt= "Column" val= self.cols else: self.ylab.setText('Rows') txt= "Row" val= self.rows self.yList.clear() for x in range(val): self.yList.addItem("%s %d"%(txt,x)) ddict={} ddict['event'] = "plotChanged" ddict['plot'] = txt+"s" self.sigWidgetSignal.emit((ddict)) def __iChanged(self, index): ddict={} ddict['event'] = "imageChanged" ddict['index'] = index self.sigWidgetSignal.emit((ddict)) def getSelection(self): selection= [] idx = self.plotCombo.currentIndex() if idx==1: plot= "cols" else: plot= "rows" idx = self.iCombo.currentIndex() if idx==0: image= None else: image= idx-1 ylist= [ idx for idx in range(self.yList.count()) if self.yList.isItemSelected(self.yList.item(idx)) ] for y in ylist: selection.append({"plot":plot, "image": image,"x":None, "y":y}) return selection def markImageSelected(self,imagelist=[]): current = self.iCombo.currentIndex() images = self.iCombo.count() #self.iCombo.clear() msg = " (selected)" for i in range(images): index = "%d" % i text = qt.safe_str(self.iCombo.itemText(i)).split(msg)[0] key = text.split()[-1] if key in imagelist: self.iCombo.setItemText(i, "%s%s" % (text,msg)) else: self.iCombo.setItemText(i, "%s" % (text)) self.iCombo.setCurrentIndex(current) def markRowSelected(self, rowlist=[]): if not qt.safe_str(self.plotCombo.currentText()) == "Rows": return current = self.yList.currentItem() n = self.yList.count() self.yList.clear() for index in range(n): if index in rowlist: self.yList.addItem(" Row %d (selected)" % index) else: self.yList.addItem(" Row %d" % index) def markColSelected(self, collist=[]): if not qt.safe_str(self.plotCombo.currentText()) == "Columns": return current = self.yList.currentItem() n = self.yList.count() self.yList.clear() for index in range(n): if index in collist: self.yList.addItem(" Column %d (selected)" % index) else: self.yList.addItem(" Column %d" % index) self.yList.setCurrentItem(current) class QEdfFileWidget(qt.QWidget): sigAddSelection = qt.pyqtSignal(object) sigRemoveSelection = qt.pyqtSignal(object) sigReplaceSelection = qt.pyqtSignal(object) def __init__(self, parent=None, justviewer=False): qt.QWidget.__init__(self, parent) self.justViewer = justviewer self.dataSource= None self.oldsource = "" self.oldcurrentArray = None self.data= None self.currentFile= None self.currentArray= 0 self._matplotlibSaveImage = None self.selection= None self.__plotting = "Columns" self._edfstack = None self.lastInputDir = None self.colormapDialog = None self.colormap = None self.printPreview = PyMcaPrintPreview.PyMcaPrintPreview(modal = 0) if DEBUG: print("printPreview id = %d" % id(self.printPreview)) #self.selectPixmap= qt.QPixmap(icons.selected) #self.unselectPixamp= qt.QPixmap(icons.unselected) self.mapComboName= {} self.mainLayout= qt.QVBoxLayout(self) self.toolBar = None self._buildToolBar() # --- splitter self.splitter= qt.QSplitter(self) self.splitter.setOrientation(qt.Qt.Vertical) # --- graph self.graph=PlotWidget.PlotWidget(self.splitter, backend=None) self.graph.setGraphTitle('') self.graph.setGraphXLabel('Columns') self.graph.setGraphYLabel('Rows') self.graph.sigPlotSignal.connect(self.widgetSignal) self._x1Limit = self.graph.getGraphXLimits()[-1] self._y1Limit = self.graph.getGraphYLimits()[-1] #self.graph.hide() # --- array parameter self.__dummyW = qt.QWidget(self.splitter) self.__dummyW.layout =qt.QVBoxLayout(self.__dummyW) self.__dummyW.layout.setContentsMargins(0, 0, 0, 0) self.__dummyW.layout.setSpacing(0) if not justviewer: self.applygroupContainer = qt.QWidget(self.__dummyW) self.applytoone = qt.QCheckBox(self.applygroupContainer) self.applytoone.setText("Apply to seen image") self.applytoone.setChecked(1) self.applytoall = qt.QCheckBox(self.applygroupContainer) self.applytoall.setText("Apply to all images in list") self.applygroup = qt.QButtonGroup() self.applygroup.addButton(self.applytoone, 0) self.applygroup.addButton(self.applytoall, 1) self.applygroup.setExclusive(True) self.applygroupLayout = qt.QHBoxLayout(self.applygroupContainer) self.applygroupLayout.setContentsMargins(0, 0, 0, 0) self.applygroupLayout.setSpacing(0) self.applygroupLayout.addWidget(self.applytoone) self.applygroupLayout.addWidget(self.applytoall) self.__dummyW.layout.addWidget(self.applygroupContainer) self.applygroup.buttonClicked[int].connect(self.groupSignal) self.dataInfoWidgetDict = {} self.paramWidget = EdfFile_StandardArray(self.__dummyW) self.__dummyW.layout.addWidget(self.paramWidget) self.paramWidget.sigWidgetSignal.connect(self.widgetSignal) if justviewer: self.paramWidget.plab.hide() self.paramWidget.plotCombo.hide() self.paramWidget.ylab.hide() self.paramWidget.yList.hide() self.allImages = 0 # --- main layout self.mainLayout.setContentsMargins(5, 5, 5, 5) self.mainLayout.setSpacing(2) #self.mainLayout.addWidget(self.infoBar) self.mainLayout.addWidget(self.splitter) if not justviewer: self._buildActions() def _buildToolBar(self): self.hFlipIcon = qt.QIcon(qt.QPixmap(IconDict["gioconda16mirror"])) self.solidCircleIcon = qt.QIcon(qt.QPixmap(IconDict["solidcircle"])) self.solidEllipseIcon = qt.QIcon(qt.QPixmap(IconDict["solidellipse"])) self.colormapIcon = qt.QIcon(qt.QPixmap(IconDict["colormap"])) self.zoomResetIcon = qt.QIcon(qt.QPixmap(IconDict["zoomreset"])) self.printIcon = qt.QIcon(qt.QPixmap(IconDict["fileprint"])) self.saveIcon = qt.QIcon(qt.QPixmap(IconDict["filesave"])) try: self.infoIcon = qt.QApplication.style().\ standardIcon(qt.QStyle.SP_MessageBoxInformation) except: self.infoIcon = None self.toolBar = qt.QWidget(self) self.toolBarLayout = qt.QHBoxLayout(self.toolBar) self.toolBarLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.addWidget(self.toolBar) #Autoscale self._addToolButton(self.zoomResetIcon, self._zoomReset, 'Auto-Scale the Graph') self.aspectButton = self._addToolButton(self.solidCircleIcon, self._aspectButtonSignal, 'Keep data aspect ratio', toggle = False) self.aspectButton.setChecked(False) self._keepDataAspectRatioFlag = False #colormap self._addToolButton(self.colormapIcon, self.selectColormap, 'Color-Scale the Graph') tb = self._addToolButton(self.hFlipIcon, self._hFlipIconSignal, 'Flip Horizontal') self.hFlipToolButton = tb #info if self.infoIcon is not None: self._addToolButton(self.infoIcon, self._showInformation, 'Show source information') #save if MATPLOTLIB: tb = self._addToolButton(self.saveIcon, self.__saveIconSignal, 'Export Graph') self._saveMenu = qt.QMenu() self._saveMenu.addAction(QString("Standard"), self._saveIconSignal) self._saveMenu.addAction(QString("Matplotlib") , self._saveMatplotlibImage) else: tb = self._addToolButton(self.saveIcon, self._saveIconSignal, 'Export Graph') #info self.infoText = qt.QLabel(self.toolBar) self.infoText.setText(" X = ???? Y = ???? Z = ????") self.toolBarLayout.addWidget(self.infoText) self.toolBarLayout.addWidget(qt.HorizontalSpacer(self.toolBar)) # ---print tb = self._addToolButton(self.printIcon, self.printGraph, 'Print the Graph') def _hFlipIconSignal(self): if DEBUG: print("_hFlipIconSignal called") if self.graph.isYAxisInverted(): self.graph.invertYAxis(False) else: self.graph.invertYAxis(True) self.graph.replot() def _aspectButtonSignal(self): if DEBUG: print("_aspectButtonSignal") if self._keepDataAspectRatioFlag: self.keepDataAspectRatio(False) else: self.keepDataAspectRatio(True) def keepDataAspectRatio(self, flag=True): if flag: self._keepDataAspectRatioFlag = True self.aspectButton.setIcon(self.solidEllipseIcon) self.aspectButton.setToolTip("Set free data aspect ratio") else: self._keepDataAspectRatioFlag = False self.aspectButton.setIcon(self.solidCircleIcon) self.aspectButton.setToolTip("Keep data aspect ratio") self.graph.keepDataAspectRatio(self._keepDataAspectRatioFlag) def _addToolButton(self, icon, action, tip, toggle=None): tb = qt.QToolButton(self.toolBar) tb.setIcon(icon) tb.setToolTip(tip) if toggle is not None: if toggle: tb.setCheckable(1) self.toolBarLayout.addWidget(tb) tb.clicked.connect(action) return tb def _showInformation(self): if (self.data is None) or \ (self.currentArray is None): qt.QMessageBox.information(self, "No data",\ "No information to be shown") return #this could be cached because implies a new reading infoSource= self.data.getSourceInfo() info = self.data.getKeyInfo(infoSource['KeyList']\ [self.currentArray]) infoWidget = SpecFileDataInfo.SpecFileDataInfo(info, parent=None) infoWidget.show() infoWidget.notifyCloseEventToWidget(self) self.dataInfoWidgetDict[id(infoWidget)] = infoWidget def _dataInfoClosed(self, ddict): if ddict['event'] == "SpecFileDataInfoClosed": key = ddict['id'] if key in self.dataInfoWidgetDict: del self.dataInfoWidgetDict[key] def customEvent(self, event): if hasattr(event, 'dict'): ddict = event.dict self._dataInfoClosed(ddict) def _zoomReset(self): if DEBUG: print("_zoomReset") self.graph.resetZoom() def _saveMatplotlibImage(self): if self._matplotlibSaveImage is None: if (self.currentArray is None) or \ (self.data is None): self._matplotlibSaveImage = QPyMcaMatplotlibSave.SaveImageSetup(None, None) else: self._matplotlibSaveImage = QPyMcaMatplotlibSave.SaveImageSetup(None, self.lastData) else: self._matplotlibSaveImage.setImageData(self.lastData) self._matplotlibSaveImage.show() self._matplotlibSaveImage.raise_() def __saveIconSignal(self): self._saveMenu.exec_(self.cursor().pos()) def _saveIconSignal(self): self.lastInputDir = PyMcaDirs.outputDir fileTypeList = ["Data *.dat", "ImageData *.tif", "Image *.png", "Image *.jpg", "ZoomedImage *.png", "ZoomedImage *.jpg", "Widget *.png", "Widget *.jpg"] outfile = qt.QFileDialog(self) outfile.setModal(1) outfile.setWindowTitle("Output File Selection") strlist = QStringList() for f in fileTypeList: strlist.append(f) if hasattr(outfile, "setFilters"): outfile.setFilters(strlist) else: outfile.setNameFilters(strlist) outfile.setFileMode(outfile.AnyFile) outfile.setAcceptMode(outfile.AcceptSave) outfile.setDirectory(self.lastInputDir) ret = outfile.exec_() if not ret: return if hasattr(outfile, "selectedFilter"): filterused = qt.safe_str(outfile.selectedFilter()).split() else: filterused = qt.safe_str(outfile.selectedNameFilter()).split() filetype = filterused[0] extension = filterused[1] outstr = qt.safe_str(outfile.selectedFiles()[0]) try: outputFile = os.path.basename(outstr) except: outputFile = outstr outputDir = os.path.dirname(outstr) self.lastInputDir = outputDir PyMcaDirs.outputDir = outputDir #always overwrite for the time being if len(outputFile) < len(extension[1:]): outputFile += extension[1:] elif outputFile[-4:] != extension[1:]: outputFile += extension[1:] outputFile = os.path.join(outputDir, outputFile) if os.path.exists(outputFile): try: os.remove(outputFile) except: qt.QMessageBox.critical(self, "Save Error", "Cannot overwrite existing file") return tiff = False if filetype.upper() == "IMAGEDATA": tiff = True if (filetype.upper() == "DATA") or tiff: if (self.data is None) or \ (self.currentArray is None): qt.QMessageBox.information(self, "No data",\ "No data to be saved") return i = 0 for sname in self.data.sourceName: if i == 0: selfdatasourceName = sname i = 1 else: selfdatasourceName += "|"+sname key = self.data.getSourceInfo()['KeyList'][self.currentArray] label = selfdatasourceName +"_"+"Key"+"_"+key try: if tiff: ArraySave.save2DArrayListAsMonochromaticTiff([self.lastData], outputFile, labels = [label], dtype=None) else: ArraySave.save2DArrayListAsASCII([self.lastData], outputFile, labels = [label]) except: qt.QMessageBox.critical(self, "Save Error", "%s" % \ sys.exc_info()[1]) return elif filetype.upper() == "IMAGE": self.saveGraphImage(outputFile, original=True) elif filetype.upper() == "ZOOMEDIMAGE": self.saveGraphImage(outputFile,original=False) else: self.saveGraphWidget(outputFile) def saveGraphImage(self, filename,original=True): fformat = filename[-3:].upper() #This is the whole image, not the zoomed one ... rgbData, legend, info, pixmap = self.graph.getActiveImage() if original: # save whole image bgrData = numpy.array(rgbData, copy=True) bgrData[:,:,0] = rgbData[:, :, 2] bgrData[:,:,2] = rgbData[:, :, 0] else: shape = rgbData.shape[:2] xmin, xmax = self.graph.getGraphXLimits() ymin, ymax = self.graph.getGraphYLimits() # save zoomed image, for that we have to get the limits r0, c0 = ymin, xmin r1, c1 = ymax, xmax row0 = int(min(r0, r1)) row1 = int(max(r0, r1)) col0 = int(min(c0, c1)) col1 = int(max(c0, c1)) if row1 < shape[0]: row1 += 1 if col1 < shape[1]: col1 += 1 tmpArray = rgbData[row0:row1, col0:col1, :] bgrData = numpy.array(tmpArray, copy=True, dtype=rgbData.dtype) bgrData[:,:,0] = tmpArray[:, :, 2] bgrData[:,:,2] = tmpArray[:, :, 0] if self.graph.isYAxisInverted(): qImage = qt.QImage(bgrData, bgrData.shape[1], bgrData.shape[0], qt.QImage.Format_RGB32) else: qImage = qt.QImage(bgrData, bgrData.shape[1], bgrData.shape[0], qt.QImage.Format_RGB32).mirrored(False, True) pixmap = qt.QPixmap.fromImage(qImage) if pixmap.save(filename, fformat): return else: qt.QMessageBox.critical(self, "Save Error", "%s" % sys.exc_info()[1]) return def saveGraphWidget(self, filename): fformat = filename[-3:].upper() if hasattr(qt.QPixmap, "graphWidget"): # Qt4 pixmap = qt.QPixmap.grabWidget(self.graph) else: #Qt5 pixmap = self.graph.grab() if pixmap.save(filename, fformat): return else: qt.QMessageBox.critical(self, "Save Error", "%s" % sys.exc_info()[1]) return def setSaveDirectory(self, wdir): if os.path.exists(wdir): self.lastInputDir = wdir return True else: return False def printGraph(self): if hasattr(qt.QPixmap, "graphWidget"): # Qt4 pixmap = qt.QPixmap.grabWidget(self.graph) else: #Qt5 pixmap = self.graph.grab() self.printPreview.addPixmap(pixmap) if self.printPreview.isHidden(): self.printPreview.show() self.printPreview.raise_() def _buildActions(self): self.buttonBox = qt.QWidget(self) buttonBox = self.buttonBox self.buttonBoxLayout = qt.QGridLayout(buttonBox) self.buttonBoxLayout.setContentsMargins(0, 0, 0, 0) self.buttonBoxLayout.setSpacing(2) self.add2DButton = qt.QPushButton(buttonBox) self.add2DButton.setText("ADD 2D") self.remove2DButton = qt.QPushButton(buttonBox) self.remove2DButton.setText("REMOVE 2D") self.replace2DButton = qt.QPushButton(buttonBox) self.replace2DButton.setText("REPLACE 2D") self.addButton = qt.QPushButton(buttonBox) self.addButton.setText("ADD") self.removeButton = qt.QPushButton(buttonBox) self.removeButton.setText("REMOVE") self.replaceButton = qt.QPushButton(buttonBox) self.replaceButton.setText("REPLACE") self.buttonBoxLayout.addWidget(self.add2DButton, 0, 0) self.buttonBoxLayout.addWidget(self.remove2DButton, 0, 1) self.buttonBoxLayout.addWidget(self.replace2DButton, 0, 2) self.buttonBoxLayout.addWidget(self.addButton, 1, 0) self.buttonBoxLayout.addWidget(self.removeButton, 1, 1) self.buttonBoxLayout.addWidget(self.replaceButton, 1, 2) self.mainLayout.addWidget(buttonBox) self.add2DButton.clicked.connect(self._add2DClicked) self.remove2DButton.clicked.connect(self._remove2DClicked) self.replace2DButton.clicked.connect(self._replace2DClicked) self.addButton.clicked.connect(self._addClicked) self.removeButton.clicked.connect(self._removeClicked) self.replaceButton.clicked.connect(self._replaceClicked) def _buildActionsQt3(self): self.buttonBox = qt.QWidget(self) buttonBox = self.buttonBox self.buttonBoxLayout = qt.QHBoxLayout(buttonBox) self.addButton = qt.QPushButton(buttonBox) self.addButton.setText("ADD") self.removeButton = qt.QPushButton(buttonBox) self.removeButton.setText("REMOVE") self.replaceButton = qt.QPushButton(buttonBox) self.replaceButton.setText("REPLACE") self.buttonBoxLayout.addWidget(self.addButton) self.buttonBoxLayout.addWidget(self.removeButton) self.buttonBoxLayout.addWidget(self.replaceButton) self.mainLayout.addWidget(buttonBox) self.addButton.clicked.connect(self._addClicked) self.removeButton.clicked.connect(self._removeClicked) self.replaceButton.clicked.connect(self._replaceClicked) def groupSignal(self,i): self.allImages = i def widgetSignal(self,dict=None): if dict is None: dict = {} if 'event' in dict: if dict['event'] == 'plotChanged': self.__plotting = dict['plot'] self.__refreshSelection() elif dict['event'] in ['mouseMoved', 'MouseAt']: x = round(dict['y']) if x < 0: x = 0 y = round(dict['x']) if y < 0: y = 0 if (self.data is None) or \ (self.currentArray is None): self.infoText.setText(" X = %d Y = %d Z = ????" %\ (y, x)) else: limits = self.lastData.shape x = min(int(x), limits[0]-1) y = min(int(y), limits[1]-1) z = self.lastData[x, y] self.infoText.setText(" X = %d Y = %d Z = %.4g" %\ (y, x, z)) elif dict['event'] in ['mouseClicked', 'MouseClick']: if self.justViewer: return col = min(int(round(dict['x'])), self._x1Limit - 1) row = min(int(round(dict['y'])), self._y1Limit - 1) if row < 0: row = 0 if col < 0: col = 0 if self.data is None: self.graph.removeImage(legend="QEdfFileWidget") wid = self.__getParamWidget('array') wid.setImages(1) return if self.data.sourceName is None:return if self.selection is None: self.selection = {} nsel = {} i = 0 for sname in self.data.sourceName: if i == 0: selfdatasourceName = sname i = 1 else: selfdatasourceName += "|"+sname nsel['SourceType'] = self.data.sourceType nsel['SourceName'] = selfdatasourceName nsel['selection'] = None key_list = self.data.getSourceInfo()['KeyList'] if self.currentArray == len(key_list): key = '0.0' else: key = key_list[self.currentArray] if self.allImages: arraynamelist = key_list else: arraynamelist = [key] for key in arraynamelist: nsel['Key'] = key signalsel = {} signalsel['SourceType'] = self.data.sourceType signalsel['SourceName'] = self.data.sourceName signalsel['selection'] = None signalsel['Key'] = key if self.__plotting == 'Rows': ptype = 'rows' nsel[key] = {'rows':[{'y':row,'x':None}],'cols':[]} signalsel['Key'] += ".r.%d" % row else: nsel[key] = {'rows':[],'cols':[{'y':col,'x':None}]} signalsel['Key'] += ".c.%d" % col ptype = 'cols' name = "" i = int(key.split(".")[0]) if i > 0: signalsel['legend'] = os.path.basename(self.data.sourceName[i-1]) +" "+signalsel['Key'] else: signalsel['legend'] = "EDF Stack "+ os.path.basename(self.data.sourceName[0])+\ " "+signalsel['Key'] if self.selection == {}: self.setSelected([nsel],reset=0) self.sigAddSelection.emit([signalsel]) elif not (nsel['SourceName'] in self.selection): self.setSelected([nsel],reset=0) self.sigAddSelection.emit([signalsel]) elif not (key in self.selection[nsel['SourceName']]): self.setSelected([nsel],reset=0) self.sigAddSelection.emit([signalsel]) elif len(self.selection[nsel['SourceName']][key][ptype]) == 0: self.setSelected([nsel],reset=0) self.sigAddSelection.emit([signalsel]) elif nsel[key][ptype][0] not in self.selection[nsel['SourceName']][key][ptype]: self.setSelected([nsel],reset=0) self.sigAddSelection.emit([signalsel]) else: self.removeSelection([nsel]) elif dict['event'] == 'imageChanged': if DEBUG: print("Image changed") if dict['index'] != self.currentArray: self.currentArray = dict['index'] self.refresh() if DEBUG: print("self.currentArray = ",self.currentArray) def openFile(self, filename=None,justloaded=None): if DEBUG: print("openfile = %s" % filename) if justloaded is None:justloaded = 0 if filename is None: self.lastInputDir = PyMcaDirs.inputDir if QT4: fdialog = qt.QFileDialog(self) fdialog.setModal(True) fdialog.setWindowTitle("Open a new EdfFile") strlist = QStringList() strlist.append("EDF Files *edf") strlist.append("EDF Files *ccd") strlist.append("All Files *") fdialog.setFilters(strlist) fdialog.setFileMode(fdialog.ExistingFiles) ret = fdialog.exec_() if ret == qt.QDialog.Accepted: filelist = fdialog.selectedFiles() fdialog.close() del fdialog else: fdialog.close() del fdialog return elif sys.platform == 'win32': wdir = self.lastInputDir if wdir is None:wdir = "" filelist = qt.QFileDialog.getOpenFileNames("EdfFiles (*.edf)\nEdfFiles (*mca)\nEdfFiles (*ccd)\nAll files (*)", wdir, self,"openFile", "Open a new EdfFile") else: filedialog = qt.QFileDialog(self,"Open new EdfFile(s)",1) if self.lastInputDir is not None: filedialog.setDir(self.lastInputDir) filedialog.setMode(filedialog.ExistingFiles) filedialog.setFilters("EdfFiles (*.edf)\nEdfFiles (*.mca)\nEdfFiles (*ccd)\nAll files (*)") if filedialog.exec_loop() == qt.QDialog.Accepted: filelist= filedialog.selectedFiles() else: return #respect selection choice #filelist.sort() filename=[] for f in filelist: filename.append(qt.safe_str(f)) if not len(filename): return if len(filename): self.lastInputDir = os.path.dirname(filename[0]) PyMcaDirs.inputDir = os.path.dirname(filename[0]) justloaded = 1 if justloaded: if type(filename) != type([]): filename = [filename] if not os.path.exists(filename[0]): raise IOError("File %s does not exist" % filename[0]) if (justloaded) and (filename in self.mapComboName.keys()): self.selectFile(filename,justloaded=justloaded) elif 1: combokey = os.path.basename(filename[0]) self.mapComboName[combokey]= filename self.selectFile(combokey,justloaded=justloaded) else: if not self.data.SetSource(filename): qt.QMessageBox.critical(self, "ERROR opening EdfFile", "Cannot open following EdfFile:\n%s"%(filename)) else: filename= self.data.SourceName.split("|") if len(filename) > 1: combokey = 'EDF Stack' self._edfstack = filename else: combokey = os.path.basename(filename[0]) if combokey not in self.mapComboName.keys(): self.mapComboName[combokey]= filename[0] if QT4: self.fileCombo.addItem(combokey) else: self.fileCombo.insertItem(combokey) self.selectFile(combokey,justloaded=justloaded) def selectFile(self, filename=None, justloaded=None): if justloaded is None:justloaded=0 if filename is not None: #if qt.safe_str(self.fileCombo.currentText()) !=\ # self.mapComboName[filename]: if filename == 'EDF Stack': filename= self._edfstack else: filename = self.mapComboName[filename] if justloaded and (filename==self._edfstack): self.currentArray=len(self.data.getSourceInfo()['KeyList']) else: self.currentArray=0 self.refresh() def selectColormap(self): if self.colormap is None: return if self.colormapDialog.isHidden(): self.colormapDialog.show() self.colormapDialog.raise_() self.colormapDialog.show() def getPixmapFromData(self, data, colormap): finiteData = numpy.isfinite(data) goodData = finiteData.min() if self.colormapDialog is not None: minData = self.colormapDialog.dataMin maxData = self.colormapDialog.dataMax else: if goodData: minData = data.min() maxData = data.max() else: tmpData = data[finiteData] if tmpData.size > 0: minData = tmpData.min() maxData = tmpData.max() else: minData = None maxData = None tmpData = None if colormap is None: if minData is None: (pixmap,size,minmax)= spslut.transform(\ data, (1,0), (self.__defaultColormapType,3.0), "RGBX", self.__defaultColormap, 1, (0, 1), (0, 255), 1) else: (pixmap,size,minmax)= spslut.transform(\ data, (1,0), (self.__defaultColormapType,3.0), "RGBX", self.__defaultColormap, 0, (minData,maxData), (0, 255), 1) else: if len(colormap) < 7: colormap.append(spslut.LINEAR) if goodData: (pixmap,size,minmax)= spslut.transform(\ data, (1,0), (colormap[6],3.0), "RGBX", COLORMAPLIST[int(str(colormap[0]))], colormap[1], (colormap[2],colormap[3]), (0,255), 1) elif colormap[1]: #autoscale if minData is None: (pixmap,size,minmax)= spslut.transform(\ data, (1,0), (self.__defaultColormapType,3.0), "RGBX", self.__defaultColormap, 1, (0, 1), (0, 255), 1) else: (pixmap,size,minmax)= spslut.transform(\ data, (1,0), (colormap[6],3.0), "RGBX", COLORMAPLIST[int(str(colormap[0]))], 0, (minData,maxData), (0,255), 1) else: (pixmap,size,minmax)= spslut.transform(\ data, (1,0), (colormap[6],3.0), "RGBX", COLORMAPLIST[int(str(colormap[0]))], colormap[1], (colormap[2],colormap[3]), (0,255), 1) pixmap.shape = [data.shape[0], data.shape[1], 4] if not goodData: pixmap[finiteData < 1] = 255 return pixmap def updateColormap(self, *var): if len(var) == 1: var = var[0] if len(var) > 6: self.colormap = [var[0], var[1], var[2], var[3], var[4], var[5], var[6]] elif len(var) > 5: self.colormap = [var[0], var[1], var[2], var[3], var[4], var[5]] else: self.colormap = [var[0], var[1], var[2], var[3], var[4], var[5]] #self.graph.invertYAxis(True) pixmap = self.getPixmapFromData(self.lastData, self.colormap) self.graph.addImage(pixmap, legend="QEdfFileWidget") self.graph.replot() def closeFile(self, filename=None): if filename is None: ffile= qt.safe_str(self.fileCombo.currentText()) #if file != "EDF Stack": # filename = self.mapComboName[file] #else: # filename ="EDF Stack" filename = ffile #print self.selection if (self.selection is not None) and filename in self.selection: nmca = 0 for key in self.selection[filename].keys(): nmca += len(self.selection[filename][key]['rows']) + len(self.selection[filename][key]['cols']) if nmca: msg= "%d mca are linked to that EdfFile source.\n"% nmca msg+="Do you really want to delete all these graphs ??" ans= qt.QMessageBox.information(self, "Remove SpecFile %s"%filename, msg, qt.QMessageBox.No, qt.QMessageBox.Yes) if ans==qt.QMessageBox.No: return try: self.sigDelSelection.emit((self.data.SourceName, mcakeys)) except: if DEBUG: print("sigDelSelection is to be implemented") for idx in range(self.fileCombo.count()): itext = self.fileCombo.itemText(idx) if filename == "EDF Stack": if itext == filename: self.fileCombo.removeItem(idx) del self.mapComboName[filename] break elif qt.safe_str(itext) ==\ os.path.basename(self.mapComboName[filename]): self.fileCombo.removeItem(idx) del self.mapComboName[filename] break if not self.fileCombo.count(): self.data.sourceName = None self._reset() #self.selectFile() else: self.selectFile(self.mapComboName.keys()[0]) def __fileSelection(self, ffile): ffile= qt.safe_str(ffile) for filename, comboname in self.mapComboName.items(): if filename == ffile: self.selectFile(filename) break def _reset(self): self.graph.removeImage(legend="QEdfFileWidget") self.oldsource = None self.graph.clearMarkers() self.graph.replot() wid = self.__getParamWidget('array') wid.setImages(1) wid.setDataSize(0,0) def setDataSource(self,data=None): if DEBUG: print("setData(self, data) called") print("data = ",data) self.data= data self.refresh() def refresh(self): if DEBUG: print("refresh method called") if self.data is None: self._reset() #wid = self.__getParamWidget('array') #wid.setImages(1) return if self.data.sourceName is None: return self.currentFile = self.data.sourceName #this gives the number of images in the file infoSource= self.data.getSourceInfo() if DEBUG: print("info :") print(infoSource) nimages=len(infoSource['KeyList']) #print self.data.SourceName,"nimages = ",nimages loadsum = 0 if nimages == 1: self.currentArray = 0 elif self.currentArray > nimages: self.currentArray = 0 elif self.currentArray == nimages: loadsum=1 #print "SUM = ",loadsum, infoSource['KeyList'] #print self.currentArray if (self.oldsource != self.currentFile) or (self.oldcurrentArray != self.currentArray): if DEBUG: print("I have to read again ... ") if not loadsum: if DEBUG: print("Not Loading the sum") dataObject = self.data.getDataObject(infoSource['KeyList']\ [self.currentArray]) info = dataObject.info data = dataObject.data imageinfo = infoSource['KeyList'] else: if DEBUG: print("Loading the sum") dataObject = self.data.getDataObject('0.0') info = dataObject.info data = dataObject.data imageinfo = infoSource['KeyList'] wid= self.__getParamWidget("array") if nimages > 1: if 'Title' in info: i = 0 for key in self.data.getSourceInfo()['KeyList']: source,image = key.split(".") source = int(source) image = int(image) dataObject = self.data.getDataObject(key) header = dataObject.info if 'Title' in header: imageinfo[i] += "- " + header['Title'] i+=1 if DEBUG: print("NOT ADDING 0.0 - SUM KEY") wid.setImages(nimages+1,info = imageinfo+["0.0 - SUM"]) wid.setImages(nimages,info = imageinfo) else: if 'Title' in info: imageinfo [self.currentArray] += info['Title'] wid.setImages(nimages, info = imageinfo) wid.setCurrentImage(self.currentArray) #P.B. -> pointer(a,d1,d2,i1,i2) = a+ (i1+i2 * d1) wid.setDataSize(int(info["Dim_2"]), int(info["Dim_1"])) if DEBUG: print("Image size = %d x %d" % (int(info["Dim_2"]), int(info["Dim_1"]))) print("data size = ", data.shape) if self.graph.isHidden(): self.graph.show() ##self.graph.setx1axislimits(0, int(info["Dim_2"])) ##self.graph.sety1axislimits(0, int(info["Dim_1"])) self._x1Limit = int(info["Dim_1"]) self._y1Limit = int(info["Dim_2"]) self.graph.clear() minData = data.min() maxData = data.max() wasnone = 0 self.lastData = data if self.colormapDialog is None: wasnone = 1 self.colormapDialog = ColormapDialog.ColormapDialog() self.colormapDialog.colormapIndex = self.colormapDialog.colormapList.index("Temperature") self.colormapDialog.colormapString = "Temperature" self.colormapDialog.sigColormapChanged.connect( \ self.updateColormap) self.colormapDialog.setDataMinMax(minData, maxData) if wasnone: self.colormapDialog.setAutoscale(1) self.colormapDialog.setColormap(self.colormapDialog.colormapIndex) self.colormap = (self.colormapDialog.colormapIndex, self.colormapDialog.autoscale, self.colormapDialog.minValue, self.colormapDialog.maxValue, minData, maxData) #self.graph.imagePlot(data=data, colormap = self.colormap) self.colormapDialog._update() pixmap = self.getPixmapFromData(data, self.colormap) self.graph.addImage(pixmap, legend="QEdfFileWidget") self.__refreshSelection() self.graph.replot() self.oldsource = "%s" % self.data.sourceName self.oldcurrentArray = self.currentArray * 1 def __getParamWidget(self, widtype): return self.paramWidget def _replaceClicked(self): if DEBUG: print("replace clicked") selkeys= self.__getSelectedKeys() if len(selkeys): #self.eh.event(self.repEvent, selkeys) if DEBUG: print("Replace event") if self.allImages: arraynamelist = self.data.getSourceInfo()['KeyList'] else: arraynamelist = [] for selection in selkeys: arraynamelist.append(selection['Key']) sellist=[] signalsellist = [] for arrayname in arraynamelist: sel = {} sel['SourceType'] = SOURCE_TYPE for selection in selkeys: signalsel = {} signalsel.update(sel) signalsel['selection'] = None signalsel['SourceName'] = self.data.sourceName if not ('SourceName' in sel): sel['SourceName'] = selection['SourceName'] arrayname = selection['Key'] if not ('Key' in sel): sel['Key'] = selection['Key'] signalsel['Key'] = selection['Key'] if not (arrayname in sel): sel[arrayname] = {'rows':[],'cols':[]} if selection['plot'] == 'cols': sel[arrayname]['cols'].append({'x':selection['x'],'y':selection['y']}) signalsel['Key'] += ".c.%d" % selection['y'] if selection['plot'] == 'rows': sel[arrayname]['rows'].append({'x':selection['x'],'y':selection['y']}) signalsel['Key'] += ".r.%d" % selection['y'] i = int(signalsel['Key'].split(".")[0]) if i > 0: signalsel['legend'] = os.path.basename(self.data.sourceName[i-1]) +" "+signalsel['Key'] else: signalsel['legend'] = "EDF Stack "+ \ os.path.basename(self.data.sourceName[0])+\ " "+signalsel['Key'] """ if selection['plot'] == 0: sel[arrayname]['mca'].append({'x':selection['x'],'y':selection['y']}) """ signalsellist.append(signalsel) sellist.append(sel) self.setSelected(sellist,reset=1) self.sigReplaceSelection.emit(signalsellist) def _add2DClicked(self, replace=False, emit=True): if DEBUG: print("ADD 2D clicked") if (self.data is None) or \ (self.currentArray is None): return #this is not very efficient because it could be cached #while this implies a new reading infoSource= self.data.getSourceInfo() sel = {} sel['SourceType'] = infoSource['SourceType'] sel['SourceName'] = self.data.sourceName sel['Key'] = infoSource['KeyList'][self.currentArray] f, i = sel['Key'].split(".") f = int(f) - 1 sel['legend'] = os.path.basename(self.data.sourceName[f]) +\ " "+ ("%s" % self.paramWidget.iCombo.currentText()) sel['selectiontype'] = '2D' sel['imageselection'] = True sel['mcaselection'] = False sel['scanselection'] = False sel['selection'] = None if emit: if replace: self.sigReplaceSelection.emit([sel]) else: self.sigAddSelection.emit([sel]) else: return [sel] def _remove2DClicked(self): if DEBUG: print("REMOVE 2D clicked") infoSource= self.data.getSourceInfo() sel = {} sel['SourceType'] = infoSource['SourceType'] sel['SourceName'] = self.data.sourceName sel['Key'] = infoSource['KeyList'][self.currentArray] f, i = sel['Key'].split(".") f = int(f) - 1 sel['legend'] = os.path.basename(self.data.sourceName[f]) +\ " "+ qt.safe_str(self.paramWidget.iCombo.currentText()) sel['selectiontype'] = '2D' sel['imageselection'] = True sel['mcaselection'] = False sel['scanselection'] = False sel['selection'] = None self.sigRemoveSelection.emit([sel]) def _replace2DClicked(self): if DEBUG: print("REPLACE 2D clicked") self._add2DClicked(replace=True) def currentSelectionList(self): a = self._addClicked(emit=False) if a in [None, []]: a = self._add2DClicked(emit=False) return a def _addClicked(self, emit=True): if DEBUG: print("select clicked") selkeys= self.__getSelectedKeys() if DEBUG: print("selected keys = ",selkeys) if len(selkeys): #self.eh.event(self.addEvent, selkeys) if DEBUG: print("Select event") if self.allImages: arraynamelist = self.data.getSourceInfo()['KeyList'] else: arraynamelist = [] for selection in selkeys: arraynamelist.append(selection['Key']) sellist=[] sellistsignal = [] for arrayname in arraynamelist: sel = {} sel['SourceType'] = SOURCE_TYPE for selection in selkeys: selsignal = {} selsignal['SourceType'] = self.data.sourceType selsignal['SourceName'] = self.data.sourceName selsignal['selection'] = None selsignal['Key'] = arrayname if not ('SourceName' in sel): sel['SourceName'] = selection['SourceName'] #arrayname = selection['Key'] if not ('Key' in sel): sel['Key'] = arrayname if not (arrayname in sel): sel[arrayname] = {'rows':[],'cols':[]} if selection['plot'] == 'cols': sel[arrayname]['cols'].append({'x':selection['x'], 'y':selection['y']}) selsignal["Key"] += ".c.%d" % int(selection['y']) i = int(selsignal["Key"].split(".")[0]) if i > 0: selsignal['legend'] = os.path.basename(self.data.sourceName[i-1]) +" "+selsignal['Key'] else: selsignal['legend'] = "EDF Stack "+ os.path.basename(self.data.sourceName[0])+\ " "+selsignal['Key'] if selection['plot'] == 'rows': sel[arrayname]['rows'].append({'x':selection['x'], 'y':selection['y']}) selsignal["Key"] += ".r.%d" % int(selection['y']) i = int(selsignal["Key"].split(".")[0]) if i > 0: selsignal['legend'] = os.path.basename(self.data.sourceName[i-1]) +\ " "+selsignal['Key'] else: selsignal['legend'] = "EDF Stack "+\ os.path.basename(self.data.sourceName[0])+\ " "+selsignal['Key'] sellistsignal.append(selsignal) sellist.append(sel) if self.selection is None: self.setSelected(sellist,reset=1) else: self.setSelected(sellist,reset=0) if emit: self.sigAddSelection.emit(sellistsignal) else: return sellistsignal def __getSelectedKeys(self): selkeys= [] parwid= self.paramWidget #.visibleWidget() if self.currentArray is not None: for sel in parwid.getSelection(): sel["SourceName"]= self.currentFile sel['SourceType'] = SOURCE_TYPE if 0: sel["Key"]= "%d" % self.currentArray else: keylist = self.data.getSourceInfo()['KeyList'] if self.currentArray == len(keylist): sel["Key"]= "0.0" else: sel["Key"]= keylist[self.currentArray] selkeys.append(sel) return selkeys def _removeClicked(self): if DEBUG: print("remove clicked") selkeys= self.__getSelectedKeys() returnedselection=[] signalsellist = [] if len(selkeys): #self.eh.event(self.delEvent, selkeys) if DEBUG: print("Remove Event") print("self.selection before = ",self.selection) if self.allImages: arraynamelist = self.data.getSourceInfo()['KeyList'] else: arraynamelist = [] for selection in selkeys: arraynamelist.append(selection['Key']) for arrayname in arraynamelist: for selection in selkeys: sel = {} i = 0 for sname in self.data.sourceName: if i == 0: selfdatasourceName = sname i = 1 else: selfdatasourceName += "|"+sname sel['SourceName'] = selfdatasourceName sel['SourceType'] = SOURCE_TYPE #sel['Key'] = selection['Key'] #arrayname = "%s" % selection['Key'] sel['Key'] = arrayname sel[arrayname] = {'rows':[],'cols':[]} if selection['plot'] == 'cols': sel[arrayname]['cols'].append({'x':selection['x'],'y':selection['y']}) if selection['plot'] == 'rows': sel[arrayname]['rows'].append({'x':selection['x'],'y':selection['y']}) if self.selection is not None: if DEBUG: print("step 1") if sel['SourceName'] in self.selection: if DEBUG: print("step 2") if arrayname in self.selection[sel['SourceName']]: if DEBUG: print("step 3") if 'rows' in self.selection[sel['SourceName']][arrayname]: if DEBUG: print("step 4") for couple in sel[arrayname]['rows']: if couple in self.selection[sel['SourceName']][arrayname]['rows']: index= self.selection[sel['SourceName']][arrayname]['rows'].index(couple) del self.selection[sel['SourceName']][arrayname]['rows'][index] signalsel = {} signalsel.update(sel) signalsel['SourceName'] = self.data.sourceName signalsel['Key'] += ".r.%d" % couple['y'] i = int(signalsel['Key'].split(".")[0]) if i > 0: signalsel['legend'] = os.path.basename(self.data.sourceName[i-1]) +" "+signalsel['Key'] else: signalsel['legend'] = "EDF Stack "+ \ os.path.basename(self.data.sourceName[0])+\ " "+signalsel['Key'] signalsellist.append(signalsel) for couple in sel[arrayname]['cols']: if couple in self.selection[sel['SourceName']][arrayname]['cols']: index= self.selection[sel['SourceName']][arrayname]['cols'].index(couple) del self.selection[sel['SourceName']][arrayname]['cols'][index] signalsel = {} signalsel.update(sel) signalsel['SourceName'] = self.data.sourceName signalsel['Key'] += ".c.%d" % couple['y'] i = int(signalsel['Key'].split(".")[0]) if i > 0: signalsel['legend'] = os.path.basename(self.data.sourceName[i-1]) +" "+signalsel['Key'] else: signalsel['legend'] = "EDF Stack "+ \ os.path.basename(self.data.sourceName[0])+\ " "+signalsel['Key'] signalsellist.append(signalsel) seln = {} seln['SourceName'] = sel['SourceName'] seln['SourceType'] = SOURCE_TYPE seln['Key'] = sel['Key'] seln[seln['Key']] = self.selection[seln['SourceName']][seln['Key']] self.setSelected([seln],reset=0) returnedselection.append(sel) self.sigRemoveSelection.emit(signalsellist) def removeSelection(self,selection): if type(selection) != type([]): selection=[selection] signalsellist = [] for sel in selection: arrayname = sel['Key'] if self.selection is not None: if DEBUG: print("step 1") if sel['SourceName'] in self.selection: if DEBUG: print("step 2") if arrayname in self.selection[sel['SourceName']]: if DEBUG: print("step 3") if 'rows' in self.selection[sel['SourceName']][arrayname]: if DEBUG: print("step 4") for couple in sel[arrayname]['rows']: if couple in self.selection[sel['SourceName']][arrayname]['rows']: index= self.selection[sel['SourceName']][arrayname]['rows'].index(couple) del self.selection[sel['SourceName']][arrayname]['rows'][index] signalsel = {} signalsel.update(sel) signalsel['SourceName'] = self.data.sourceName signalsel['Key'] += ".r.%d" % couple['y'] i = int(signalsel['Key'].split(".")[0]) if i > 0: signalsel['legend'] = os.path.basename(self.data.sourceName[i-1]) +" "+signalsel['Key'] else: signalsel['legend'] = "EDF Stack "+ \ os.path.basename(self.data.sourceName[0])+\ " "+signalsel['Key'] signalsellist.append(signalsel) for couple in sel[arrayname]['cols']: if couple in self.selection[sel['SourceName']][arrayname]['cols']: index= self.selection[sel['SourceName']][arrayname]['cols'].index(couple) del self.selection[sel['SourceName']][arrayname]['cols'][index] signalsel = {} signalsel.update(sel) signalsel['SourceName'] = self.data.sourceName signalsel['Key'] += ".r.%d" % couple['y'] i = int(signalsel['Key'].split(".")[0]) if i > 0: signalsel['legend'] = os.path.basename(self.data.sourceName[i-1]) +" "+signalsel['Key'] else: signalsel['legend'] = "EDF Stack "+ \ os.path.basename(self.data.sourceName[0])+\ " "+signalsel['Key'] signalsellist.append(signalsel) seln = {} seln['SourceName'] = sel['SourceName'] seln['SourceType'] = SOURCE_TYPE seln['Key'] = sel['Key'] seln[seln['Key']] = self.selection[seln['SourceName']][seln['Key']] self.setSelected([seln],reset=0) self.sigRemoveSelection.emit(signalsellist) def setSelected(self,sellist,reset=1): if DEBUG: print("setSelected(self,sellist,reset=1) called") print("sellist = ",sellist) print("selection before = ",self.selection) print("reset = ",reset) if reset: self.selection = {} elif self.selection is None: self.selection = {} for sel in sellist: specname = sel['SourceName'] if type(specname) == type([]): for i in range(len(sel['SourceName'])): if i == 0: specname = sel['SourceName'][i] else: specname += "|"+sel['SourceName'][i] #selkey is the array name what to do if multiple array names? if type(sel["Key"]) == type([]): selkey = sel["Key"][0] else: selkey = sel["Key"] if not (specname in self.selection): self.selection[specname]= {} if not (selkey in self.selection[specname]): self.selection[specname][selkey] = {'rows':[],'cols':[]} if 'rows' in sel[selkey]: for rowsel in sel[selkey]['rows']: if rowsel not in self.selection[specname][selkey]['rows']: self.selection[specname][selkey]['rows'].append(rowsel) if 'cols' in sel[selkey]: for rowsel in sel[selkey]['cols']: if rowsel not in self.selection[specname][selkey]['cols']: self.selection[specname][selkey]['cols'].append(rowsel) if DEBUG: print("self.selection after = ",self.selection) self.__refreshSelection() def getSelection(self): """ Give the dicionary of dictionaries as an easy to understand list of individual selections """ selection = [] if self.selection is None: return selection for sourcekey in self.selection.keys(): for arraykey in self.selection[sourcekey].keys(): sel={} sel['SourceName'] = sourcekey sel['SourceType'] = 'EdfFile' sel['Key'] = arraykey sel[arraykey] = self.selection[sourcekey][arraykey] selection.append(sel) return selection def __refreshSelection(self): if DEBUG: print("__refreshSelection(self) called") print(self.selection) print("self.data.SourceName = ",self.data.sourceName) if self.selection is not None: if self.data is None: return if self.data.sourceName is None: return if type(self.data.sourceName) == type([]): i = 0 for sname in self.data.sourceName: if i == 0: selfdatasourceName = sname i = 1 else: selfdatasourceName += "|"+sname else: selfdatasourceName = self.data.sourceName if "|" in self.data.sourceName: #print "here should be the multiple" #sel = self.selection.get(self.data.SourceName[0], {}) sel = self.selection.get(selfdatasourceName, {}) else: sel = self.selection.get(selfdatasourceName, {}) selkeys = [] for key in sel.keys(): if (sel[key]['rows'] != []) or (sel[key]['cols'] != []): selkeys.append(key) if DEBUG: print("selected images =",selkeys,"but self.selection = ",self.selection) print("and self.selection.get(self.data.SourceName, {}) =",sel) wid = self.__getParamWidget("array") wid.markImageSelected(selkeys) #imagedict = sel.get("%d" % self.currentArray, {}) keylist = self.data.getSourceInfo()['KeyList'] if self.currentArray == len(keylist): imagedict = sel.get("0.0",{}) else: imagedict = sel.get(keylist[self.currentArray],{}) if not ('rows' in imagedict): imagedict['rows'] = [] if not ('cols' in imagedict): imagedict['cols'] = [] rows = [] for ddict in imagedict['rows']: if 'y' in ddict: if ddict['y'] not in rows: rows.append(ddict['y']) wid.markRowSelected(rows) cols = [] for ddict in imagedict['cols']: if 'y' in ddict: if ddict['y'] not in cols: cols.append(ddict['y']) wid.markColSelected(cols) self.graph.clearMarkers() for i in rows: label = "R%d" % i marker=self.graph.insertYMarker(i, label, text=label, color='white') for i in cols: label = "C%d" % i marker=self.graph.insertXMarker(i, label, text=label, color='white') self.graph.replot() return def closeEvent(self, event): if self.colormapDialog is not None: self.colormapDialog.close() if self._matplotlibSaveImage is not None: self._matplotlibSaveImage.close() qt.QWidget.closeEvent(self, event) def test2(): a= qt.QApplication(sys.argv) a.lastWindowClosed.connect(a.quit) w = EdfFile_StandardArray() w.show() a.exec_() def test(): import sys from PyMca5.PyMcaCore import EdfFileDataSource def replaceSelection(sel): print("replaceSelection", sel) def removeSelection(sel): print("removeSelection", sel) def addSelection(sel): print("addSelection", sel) a= qt.QApplication(sys.argv) a.lastWindowClosed.connect(a.quit) w = QEdfFileWidget() #print w if len(sys.argv) > 1: d = EdfFileDataSource.EdfFileDataSource([sys.argv[1]]) elif os.path.exists('test.edf'): d = EdfFileDataSource.EdfFileDataSource(['test.edf']) else: print("Usage:") print("python QEdfFileWidget edffile") sys.exit(0) w.setDataSource(d) w.sigAddSelection.connect(addSelection) w.sigRemoveSelection.connect(removeSelection) w.sigReplaceSelection.connect(replaceSelection) w.show() a.exec_() if __name__=="__main__": test() ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/SpecFileMcaTable.py�������������������������������������������������0000644�0002763�0000175�00000016503�13136054446�021556� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2014 E. Papillon, V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "E. Papillon, V.A. Sole - ESRF Software Group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() DEBUG = 0 class SpecFileMcaTable(qt.QWidget): sigMcaDeviceSelected = qt.pyqtSignal(object) def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.l = qt.QVBoxLayout(self) self.table= qt.QTableWidget(self) self.table.setColumnCount(1) self.table.setRowCount(0) item = self.table.horizontalHeaderItem(0) if item is None: item = qt.QTableWidgetItem("No MCA for the selected scan", qt.QTableWidgetItem.Type) self.table.setHorizontalHeaderItem(0,item) self.table.resizeColumnToContents(0) self.table.setEditTriggers(qt.QAbstractItemView.NoEditTriggers) self.table.setSelectionMode(qt.QAbstractItemView.MultiSelection) self.l.addWidget(self.table) #self.table.cellActivated[int, int].connect(self._cellActivated) self.table.cellClicked[int, int].connect(self._cellClicked) self.table.cellDoubleClicked[int, int].connect(self._cellDoubleClicked) self.table._hHeader = self.table.horizontalHeader() self.table._hHeader.sectionClicked[int].connect(self._horizontalHeaderClicked) self.table._hHeader.menu = qt.QMenu() self.table._hHeader.menu.addAction('ADD Image') self.table._hHeader.menu.addAction('REMOVE Image') self.table._hHeader.menu.addAction('REPLACE Image') self.table._hHeader.menu.addAction('ADD Stack') def _horizontalHeaderClicked(self, value): if value < 0: return item = self.table.horizontalHeaderItem(value) text = str(item.text()) if text.startswith("No MCA for"): return action = self.table._hHeader.menu.exec_(self.cursor().pos()) if action is None: return txt = str(action.text()) ddict = {} ddict['event'] = 'McaDeviceSelected' ddict['mca'] = value ddict['action'] = txt self.sigMcaDeviceSelected.emit(ddict) def build(self, info): if info['NbMca'] > 0: ncol = int(info['NbMcaDet']) else: ncol = 1 nrow = info['NbMca']/ncol self.table.setColumnCount(ncol) self.table.setRowCount(nrow) if nrow == 0: item = self.table.horizontalHeaderItem(0) item.setText("No MCA for the selected scan") self.table.resizeColumnToContents(0) return for c in range(ncol): text = "Mca %d" % (c+1) item = self.table.horizontalHeaderItem(c) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.table.setHorizontalHeaderItem(c,item) else: item.setText(text) self.table.resizeColumnToContents(c) if nrow == 1: if ncol == 1: item = self.table.item(0, 0) if item is None: item = qt.QTableWidgetItem('', qt.QTableWidgetItem.Type) self.table.setItem(0, 0, item) item.setSelected(True) def _toggleCell(self, row, col): item = self.table.item(row, col) if item is None: item = qt.QTableWidgetItem('X', qt.QTableWidgetItem.Type) self.table.setItem(row, col, item) return text = str(item.text()) if text == "X": item.setText("") else: item.setText("X") def _cellClicked(self, row, col): if DEBUG: print("_cellClicked %d %d " % (row, col)) item = self.table.item(row, col) if item is None: item = qt.QTableWidgetItem('',qt.QTableWidgetItem.Type) self.table.setItem(row, col, item) def _cellDoubleClicked(self, row, col): if DEBUG: print("_cellDoubleClicked %d %d" % (row, col)) #self._toggleCell(row, col) pass def getCurrentlySelectedMca(self): mca = [] for item in self.table.selectedItems(): row = self.table.row(item) col = self.table.column(item) mca.append("%d.%d" % (row+1, col+1)) return mca def getSelectedMca(self): mca = self.getCurrentlySelectedMca() # They may be not X marked for r in range(self.table.rowCount()): for c in range(self.table.ColumnCount()): item = self.table.item(r, c) if item is not None: text = str(item.text) if text == "X": new = "%d.%d" % (r+1, c+1) if new not in mca: mca.append(new) return mca def setSelectedMca(self, mcalist): for r in range(self.table.rowCount()): for c in range(self.table.columnCount()): item = self.table.item(r, c) new = "%d.%d" % (r+1, c+1) if item is not None: if new not in mcalist: item.setText("") else: item.setText("X") else: if new in mcalist: self._toggleCell(r, c) def test(): import sys from PyMca5.PyMcaCore import SpecFileLayer app = qt.QApplication([]) tab = SpecFileMcaTable() d = SpecFileLayer.SpecFileLayer() if len(sys.argv) > 1: d.SetSource(sys.argv[1]) else: d.SetSource('03novs060sum.mca') info, data = d.LoadSource('1.1') tab.build(info) tab.setSelectedMca(["1.1"]) tab.show() app.exec_() if __name__ == "__main__": test() ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/QSpsWidget.py�������������������������������������������������������0000644�0002763�0000175�00000150673�13136054446�020534� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2016 E. Papillon, V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "E. Papillon, V.A. Sole - ESRF Software Group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaIO import spswrap as sps from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui.io import SpecFileCntTable from PyMca5.PyMcaGui import MaskImageWidget QTVERSION = qt.qVersion() from PyMca5.PyMcaGui import PyMca_Icons as icons DEBUG = 0 SOURCE_TYPE = 'SPS' SCAN_MODE = True if QTVERSION > '4.0.0': class QGridLayout(qt.QGridLayout): def addMultiCellWidget(self, w, r0, r1, c0, c1, *var): self.addWidget(w, r0, c0, 1 + r1 - r0, 1 + c1 - c0) class SPSFramesMcaWidget(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self.graphWidget = MaskImageWidget.MaskImageWidget(self, imageicons=False, selection=False) self.graph = self.graphWidget.graphWidget.graph self.mainLayout.addWidget(self.graphWidget) def setInfo(self, info): self.setDataSize(info["rows"], info["cols"]) self.setTitle(info["Key"]) self.info=info def setDataSource(self, data): self.data = data self.data.sigUpdated.connect(self._update) dataObject = self._getDataObject() self.graphWidget.setImageData(dataObject.data) self.lastDataObject = dataObject def _update(self, ddict): targetwidgetid = ddict.get('targetwidgetid', None) if targetwidgetid not in [None, id(self)]: return dataObject = self._getDataObject(ddict['Key'], selection=None) if dataObject is not None: self.graphWidget.setImageData(dataObject.data) self.lastDataObject = dataObject def _getDataObject(self, key=None, selection=None): if key is None: key = self.info['Key'] dataObject = self.data.getDataObject(key, selection=None, poll=False) if dataObject is not None: dataObject.info['legend'] = self.info['Key'] dataObject.info['imageselection'] = False dataObject.info['scanselection'] = False dataObject.info['targetwidgetid'] = id(self) self.data.addToPoller(dataObject) return dataObject def setDataSize(self,rows,cols,selsize=None): self.rows= rows self.cols= cols if self.cols<=self.rows: self.idx='cols' else: self.idx='rows' def setTitle(self, title): self.graph.setTitle("%s"%title) def getSelection(self): keys = {"plot":self.idx,"x":0,"y":1} return [keys] class SPSScanArrayWidget(SpecFileCntTable.SpecFileCntTable): def setInfo(self, info): if DEBUG: print("info = ", info) if "LabelNames" in info: # new style cntList = info.get("LabelNames", []) self.build(cntList) return elif "envdict" in info: # old style if len(info["envdict"].keys()): #We have environment information if "datafile" in info["envdict"]: if info["envdict"]["datafile"] != "/dev/null": if DEBUG: print("I should send a signal, either from here or from the parent to the dispatcher") if DEBUG: print("SPEC data file = %s" % datafile) #usefull keys = ["datafile", "scantype", "axistitles","plotlist", "xlabel", "ylabel"] # #info = self.data.getKeyInfo(sel[0]) #except: # info, data = self.data.LoadSource(sel[0]) cntList = info.get("LabelNames", []) ycntidx = info["envdict"].get('plotlist', "") if len(ycntidx): ycntidx = ycntidx.split(',') self.build(cntList) #self.cntTable.setCounterSelection(self._oldCntSelection) return if info['cols'] > 0: #arrayname = info['Key'] arrayname = 'Column' cntList = [] for i in range(info['cols']): cntList.append('%s_%03d' % (arrayname, i)) self.build(cntList) def getSelection(self): #get selected counter keys cnt_sel = self.getCounterSelection() sel_list = [] #build the appropriate selection for mca's if len(cnt_sel['cntlist']): if len(cnt_sel['y']): #if there is something to plot for index in cnt_sel['y']: sel = {} sel['selection'] = {} sel['plot'] = 'scan' sel['scanselection'] = True sel['selection']['x'] = cnt_sel['x'] sel['selection']['y'] = [index] sel['selection']['m'] = cnt_sel['m'] sel['selection']['cntlist'] = cnt_sel['cntlist'] sel_list.append(sel) return sel_list class SPSMcaArrayWidget(qt.QWidget): def __init__(self, parent=None, name="SPS_MCA_DATA", fl=0, title="MCA", size=(0,8192)): if QTVERSION < '4.0.0': qt.QWidget.__init__(self, parent, name, fl) layout= qt.QGridLayout(self, 5, 2) else: qt.QWidget.__init__(self, parent) self.setWindowTitle(name) layout= QGridLayout(self) layout.setContentsMargins(5, 5, 5, 5) layout.setSpacing(0) self.title= qt.QLabel(self) font= self.title.font() font.setBold(1) self.title.setFont(font) if QTVERSION < '4.0.0': layout.addMultiCellWidget(self.title, 0, 0, 0, 1, qt.Qt.AlignCenter) layout.addRowSpacing(0, 40) else: #layout.addMultiCellWidget(self.title, 0, 0, 0, 1, qt.Qt.AlignCenter) layout.addWidget(self.title, 0, 0) layout.setAlignment(self.title, qt.Qt.AlignCenter) self.setTitle(title) def setInfo(self, info): self.setDataSize(info["rows"], info["cols"]) self.setTitle(info["Key"]) def setDataSize(self,rows,cols,selsize=None): self.rows= rows self.cols= cols if self.cols<=self.rows: self.idx='cols' else: self.idx='rows' def setTitle(self, title): self.title.setText("%s"%title) def getSelection(self): keys = {"plot":self.idx,"x":0,"y":1} return [keys] class SPSXiaArrayWidget(qt.QWidget): def __init__(self, parent=None, name="SPS_XIA_DATA", fl=0, title="XIA", size=(0,8192)): if QTVERSION < '4.0.0': qt.QWidget.__init__(self, parent, name, fl) layout= qt.QGridLayout(self, 2, 1) else: qt.QWidget.__init__(self, parent) layout= qt.QGridLayout(self) layout.setContentsMargins(5, 5, 5, 5) layout.setSpacing(0) self.title= qt.QLabel(self) font= self.title.font() font.setBold(1) self.title.setFont(font) self.title.setText(title) if QTVERSION < '4.0.0': self.detList= qt.QListBox(self) self.detList.setSelectionMode(qt.QListBox.Multi) layout.addWidget(self.title, 0, 0, qt.Qt.AlignCenter) layout.addRowSpacing(0, 40) layout.addWidget(self.detList, 1, 0) else: self.detList= qt.QListWidget(self) self.detList.setSelectionMode(qt.QAbstractItemView.ExtendedSelection) layout.addWidget(self.title, 0, 0) layout.setAlignment(self.title, qt.Qt.AlignCenter) ##layout.addRowSpacing(0, 40) if DEBUG: print("row spacing") layout.addWidget(self.detList, 1, 0) def setTitle(self, title): self.title.setText("%s"%title) def setInfo(self, info): self.setDataSize(info["rows"], info["cols"], info.get("Detectors", None)) self.setTitle(info["Key"]) def setDataSize(self, rows, cols, dets=None): self.rows= rows self.cols= cols if dets is None or (len(dets)!=(rows-1)): dets= range(self.rows) self.detList.clear() if QTVERSION < '4.0.0': for idx in range(1, self.rows): self.detList.insertItem("Detector %d"%dets[idx-1]) else: for idx in range(1, self.rows): self.detList.addItem("Detector %d"%dets[idx-1]) def getSelection(self): selection= [] if QTVERSION < '4.0.0': ylist= [ (idx+1) for idx in range(self.detList.count()) if self.detList.isSelected(idx) ] else: itemlist = self.detList.selectedItems() ylist = [int(str(item.text()).split()[-1]) for item in itemlist] for y in ylist: selection.append({"plot":"XIA", "x":0, "y":y}) return selection class SPS_ImageArray(qt.QWidget): def __init__(self, parent=None, name="SPS_ImageArray", fl=0, title="MCA", size=(0,8192)): if QTVERSION < '4.0.0': qt.QWidget.__init__(self, parent, name, fl) layout= qt.QGridLayout(self, 5, 2) else: qt.QWidget.__init__(self, parent) self.setWindowTitle(name) layout= QGridLayout(self) layout.setContentsMargins(5, 5, 5, 5) layout.setSpacing(0) self.title= qt.QLabel(self) font= self.title.font() font.setBold(1) self.title.setFont(font) if QTVERSION < '4.0.0': layout.addMultiCellWidget(self.title, 0, 0, 0, 1, qt.Qt.AlignCenter) layout.addRowSpacing(0, 40) else: #layout.addMultiCellWidget(self.title, 0, 0, 0, 1, qt.Qt.AlignCenter) layout.addWidget(self.title, 0, 0) layout.setAlignment(self.title, qt.Qt.AlignCenter) self.setTitle(title) def setInfo(self, info): self.setDataSize(info["rows"], info["cols"]) self.setTitle(info["Key"]) def setDataSize(self,rows,cols,selsize=None): self.rows= rows self.cols= cols def setTitle(self, title): self.title.setText("%s"%title) def getSelection(self): #get selected counter keys sel_list = [] sel = {} sel['selection'] = {} sel['plot'] = 'image' sel['scanselection'] = False sel['selection'] = None sel_list.append(sel) return sel_list class SPS_StandardArray(qt.QWidget): def __init__(self, parent=None, name="SPS_StandardArray", fl=0, rows=0, cols=0): if QTVERSION < '4.0.0': qt.QWidget.__init__(self, parent, name, fl) layout= qt.QGridLayout(self, 4, 2) else: qt.QWidget.__init__(self, parent) layout= qt.QGridLayout(self) layout.setContentsMargins(5, 5, 5, 5) layout.setSpacing(0) plab= qt.QLabel("Plot", self) xlab= qt.QLabel("X :", self) ylab= qt.QLabel("Y :", self) layout.addWidget(plab, 0, 0, qt.Qt.AlignRight) layout.addWidget(xlab, 1, 0, qt.Qt.AlignRight) layout.addWidget(ylab, 2, 0, qt.Qt.AlignRight|qt.Qt.AlignTop) self.plotCombo= qt.QComboBox(self) self.plotCombo.setEditable(0) if QTVERSION < '4.0.0': self.plotCombo.insertItem("Rows") self.plotCombo.insertItem("Columns") else: self.plotCombo.addItem("Rows") self.plotCombo.addItem("Columns") self.xCombo= qt.QComboBox(self) self.xCombo.setEditable(0) if QTVERSION < '4.0.0': self.yList= qt.QListBox(self) self.yList.setSelectionMode(qt.QListBox.Multi) else: self.yList= qt.QListWidget(self) self.yList.setSelectionMode(qt.QAbstractItemView.ExtendedSelection) layout.addWidget(self.plotCombo, 0, 1) layout.addWidget(self.xCombo, 1, 1) layout.addWidget(self.yList, 2, 1) self.plotCombo.activated[int].connect(self.__plotChanged) self.setDataSize(rows, cols) def setDataSize(self, rows, cols): self.rows= rows self.cols= cols idx= self.cols<=self.rows self.plotCombo.setCurrentIndex(idx) self.__plotChanged(idx) def __plotChanged(self, index): if index==1: txt= "Column" val= self.cols else: txt= "Row" val= self.rows self.xCombo.clear() if QTVERSION < '4.0.0': self.xCombo.insertItem("Array Index") self.yList.clear() for x in range(val): self.xCombo.insertItem("%s %d"%(txt,x)) self.yList.insertItem("%s %d"%(txt,x)) if val==2: self.xCombo.setCurrentItem(0) self.__xChanged(0) else: self.xCombo.addItem("Array Index") self.yList.clear() for x in range(val): self.xCombo.addItem("%s %d"%(txt,x)) self.yList.addItem("%s %d"%(txt,x)) if val==2: self.xCombo.setCurrentIndex(0) self.__xChanged(0) def __xChanged(self, index): pass def getSelection(self): selection= [] if QTVERSION < '4.0.0': idx= self.plotCombo.currentItem() else: idx= self.plotCombo.currentIndex() if idx==1: plot= "cols" else: plot= "rows" if QTVERSION < '4.0.0': idx= self.xCombo.currentItem() else: idx= self.xCombo.currentIndex() if idx==0: x= None else: x= idx-1 if QTVERSION < '4.0.0': ylist= [ idx for idx in range(self.yList.count()) if self.yList.isSelected(idx) ] else: itemlist = self.yList.selectedItems() ylist = [int(str(item.text()).split()[-1]) for item in itemlist] for y in ylist: selection.append({"plot":plot, "x":x, "y":y}) return selection class QSpsWidget(qt.QWidget): HiddenArrays= ["MCA_DATA_PARAM", "XIA_STAT", "XIA_DET"] WidgetArrays= {"scan":SPSScanArrayWidget, "xia": SPSXiaArrayWidget, "mca": SPSMcaArrayWidget, "array": SPS_StandardArray, "image": SPS_ImageArray, "frames_mca":SPSFramesMcaWidget, "frames_image":qt.QWidget, "empty": qt.QWidget} TypeArrays= {"MCA_DATA": "mca", "XIA_PLOT": "mca", "XIA_DATA": "xia", "XIA_BASELINE":"xia", "SCAN_D": "scan", "image_data":"image" } sigAddSelection = qt.pyqtSignal(object) sigRemoveSelection = qt.pyqtSignal(object) sigReplaceSelection = qt.pyqtSignal(object) sigOtherSignals = qt.pyqtSignal(object) def __init__(self, parent=None, name="SPSSelector", fl=0): if QTVERSION < '4.0.0': qt.QWidget.__init__(self, parent, name, fl) else: qt.QWidget.__init__(self, parent) self.dataSource= None self.data= None self.currentSpec= None self.currentArray= None self.selection= None self.openFile = self.refreshSpecList self.selectPixmap= qt.QPixmap(icons.selected) self.unselectPixamp= qt.QPixmap(icons.unselected) mainLayout= qt.QVBoxLayout(self) # --- spec name selection specWidget= qt.QWidget(self) self.specCombo= qt.QComboBox(specWidget) self.specCombo.setEditable(0) if QTVERSION < '4.0.0': self.reload_= qt.QIconSet(qt.QPixmap(icons.reload_)) refreshButton= qt.QToolButton(specWidget) refreshButton.setIconSet(self.reload_) self.closeIcon= qt.QIconSet(qt.QPixmap(icons.fileclose)) closeButton= qt.QToolButton(specWidget) closeButton.setIconSet(self.closeIcon) else: self.reload_= qt.QIcon(qt.QPixmap(icons.reload_)) refreshButton= qt.QToolButton(specWidget) refreshButton.setIcon(self.reload_) self.closeIcon= qt.QIcon(qt.QPixmap(icons.fileclose)) closeButton= qt.QToolButton(specWidget) closeButton.setIcon(self.closeIcon) refreshButton.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Minimum)) closeButton.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Minimum)) specLayout= qt.QHBoxLayout(specWidget) specLayout.addWidget(self.specCombo) specLayout.addWidget(refreshButton) specLayout.addWidget(closeButton) refreshButton.clicked.connect(self.refreshSpecList) closeButton.clicked.connect(self.closeCurrentSpec) self.specCombo.activated[str].connect(self.refreshArrayList) # --- splitter self.splitter= qt.QSplitter(self) self.splitter.setOrientation(qt.Qt.Vertical) # --- shm array list self.arrayList= qt.QTreeWidget(self.splitter) labels = ["","Array Name", "Rows","Cols"] self.arrayList.setColumnCount(len(labels)) self.arrayList.setHeaderLabels(labels) self.arrayList.setSelectionMode(qt.QAbstractItemView.SingleSelection) self.arrayList.itemSelectionChanged[()].connect(self.__arraySelection) # --- array parameter self.paramIndex= {} self.paramWidget= qt.QStackedWidget(self.splitter) for wtype in self.WidgetArrays.keys(): widclass= self.WidgetArrays[wtype] wid= widclass(self.paramWidget) self.paramWidget.addWidget(wid) self.paramIndex[wtype]= self.paramWidget.indexOf(wid) # --- command buttons butWidget= qt.QWidget(self) butWidget.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Minimum, qt.QSizePolicy.Minimum)) addButton= qt.QPushButton("Add", butWidget) removeButton= qt.QPushButton("Remove", butWidget) replaceButton= qt.QPushButton("Replace", butWidget) butLayout= qt.QHBoxLayout(butWidget) butLayout.addWidget(addButton) butLayout.addWidget(removeButton) butLayout.addWidget(replaceButton) butLayout.setContentsMargins(5, 5, 5, 5) addButton.clicked.connect(self.__addClicked) replaceButton.clicked.connect(self.__replaceClicked) removeButton.clicked.connect(self.__removeClicked) # --- main layout mainLayout.setContentsMargins(5, 5, 5, 5) mainLayout.setSpacing(5) mainLayout.addWidget(specWidget) if __name__ != "__main__": specWidget.hide() mainLayout.addWidget(self.splitter) mainLayout.addWidget(butWidget) def setData(self,data=None): if DEBUG: print("setData(self, data) called") print("spec data = ",data) self.data= data self.refreshSpecList() self.refreshDataSelection() def setDataSource(self,data=None): if DEBUG: print("setDataSource(self, data) called") print("spec data = ",data) self.data= data self.refreshSpecList() self.refreshDataSelection() if data is None: self.arrayList.clear() else: self.refreshArrayList(data.sourceName) def refreshSpecList(self): speclist= sps.getspeclist() if self.specCombo.count(): selected= str(self.specCombo.currentText()) else: selected= None self.specCombo.clear() if len(speclist): for spec in speclist: if QTVERSION < '4.0.0': self.specCombo.insertItem(spec) else: self.specCombo.addItem(spec) self.selectSpec(selected or speclist[0]) def selectSpec(self, specname=None): if QTVERSION < '4.0.0': for idx in range(self.specCombo.count()): if str(self.specCombo.text(idx))==specname: self.specCombo.setCurrentItem(idx) else: for idx in range(self.specCombo.count()): if str(self.specCombo.itemText(idx))==specname: self.specCombo.setCurrentIndex(idx) def __getCurrentSpec(self): if self.specCombo.count(): return str(self.specCombo.currentText()) else: return None def refreshDataSelection(self, source=None): spec= self.__getCurrentSpec() if spec is not None and self.dataSource is not None: arraylist= self.dataSource.GetDataList(spec) item= self.arrayList.firstChild() while item is not None: name= str(item.text(1)) if name in arraylist: item.setPixmap(0, self.selectPixmap) else: item.setPixmap(0, self.unselectPixmap) item= item.nextSibling() def closeCurrentSpec(self): spec= self.__getCurrentSpec() if spec is not None and self.dataSource is not None: arraylist= self.DataSource.GetDataList(spec) if len(arraylist): msg= "%d spectrums are linked to that SPEC source.\n"%(len(arraylist)) msg+= "Do you really want to delete all these spectrums ??" ans= qt.QMessageBox.information(self, "Remove Spec Shared %s"%spec, msg, \ qt.QMessageBox.No, qt.QMessageBox.Yes) if ans.qt.QMessageBox.Yes: self.dataSource.RemoveData(spec) def refreshArrayList(self,qstring): self.arrayList.clear() #spec= self.__getCurrentSpec() self.currentSpec = str(qstring) spec = self.currentSpec if spec is not None: arraylist= {} for array in sps.getarraylist(spec): if array not in self.HiddenArrays: info= sps.getarrayinfo(spec, array) rows= info[0] cols= info[1] type= info[2] flag= info[3] if DEBUG: print(" array = ", array) print(" flag = ", flag) print(" type = ", type) if type!=sps.STRING: if (flag & sps.TAG_ARRAY) == sps.TAG_ARRAY: arraylist[array]= (rows, cols) if len(arraylist.keys()): arrayorder= list(arraylist.keys()) arrayorder.sort() arrayorder.reverse() if QTVERSION < '4.0.0': for name in arrayorder: self.arrayList.insertItem(qt.QListViewItem(self.arrayList, "", name, str(arraylist[name][0]), str(arraylist[name][1]))) else: for name in arrayorder: item = (qt.QTreeWidgetItem(self.arrayList, ["", name, str(arraylist[name][0]), str(arraylist[name][1])])) self.refreshDataSelection() self.__getParamWidget("empty") def __arraySelection(self): """ Method called when selecting an array in the view """ item= self.arrayList.selectedItems() if len(item): item = item[0] self.currentArray= str(item.text(1)) else: #click on empty space return #self.data.SetSource(self.currentSpec) #self.data.LoadSource(self.currentArray) info= self.data.getKeyInfo(self.currentArray) wid= None atype = None if 0 and ((info['flag'] & sps.TAG_FRAMES) == sps.TAG_FRAMES) and\ ((info['flag'] & sps.TAG_IMAGE) == sps.TAG_IMAGE): atype = "frames_image" elif ((info['flag'] & sps.TAG_FRAMES) == sps.TAG_FRAMES) and\ ((info['flag'] & sps.TAG_MCA) == sps.TAG_MCA): atype = "frames_mca" elif (info['flag'] & sps.TAG_IMAGE) == sps.TAG_IMAGE: atype = "image" elif (info['flag'] & sps.TAG_MCA) == sps.TAG_MCA: atype = "mca" elif (info['flag'] & sps.TAG_SCAN) == sps.TAG_SCAN: atype = "scan" elif (info['rows'] > 100) and (info['cols'] > 100): atype = "image" if atype is not None: wid= self.__getParamWidget(atype) wid.setInfo(info) if hasattr(wid, "setDataSource"): wid.setDataSource(self.data) else: for (array, atype) in self.TypeArrays.items(): if self.currentArray[0:len(array)]==array: wid= self.__getParamWidget(atype) wid.setInfo(info) if hasattr(wid, "setDataSource"): wid.setDataSource(self.data) break if wid is None: arrayType = "ARRAY" wid= self.__getParamWidget("array") wid.setDataSize(info["rows"], info["cols"]) else: arrayType = atype.upper() #emit a selection to inform about the change ddict = {} ddict['SourceName'] = self.data.sourceName ddict['SourceType'] = self.data.sourceType ddict['event'] = "SelectionTypeChanged" if arrayType in ["IMAGE"]: ddict['SelectionType'] = self.data.sourceName +" "+self.currentArray elif arrayType in ["MCA", "XIA"]: ddict['SelectionType'] = "MCA" elif arrayType in ["ARRAY"]: ddict['SelectionType'] = "MCA" else: ddict['SelectionType'] = arrayType self.sigOtherSignals.emit(ddict) def __getParamWidget(self, widtype): wid= self.paramWidget.currentWidget() if self.paramWidget.indexOf(wid) != self.paramIndex[widtype]: self.paramWidget.setCurrentIndex(self.paramIndex[widtype]) wid = self.paramWidget.currentWidget() return wid def __replaceClicked(self): if DEBUG: print("replace clicked") selkeys= self.__getSelectedKeys() if len(selkeys): #self.eh.event(self.repEvent, selkeys) if DEBUG: print("Replace event") sel = {} sel['SourceType'] = SOURCE_TYPE sellistsignal = [] for selection in selkeys: selsignal = {} selsignal['SourceType'] = self.data.sourceType selsignal['SourceName'] = self.data.sourceName selsignal['selection'] = None selsignal['Key'] = selection['Key'] if 'SourceName' not in sel: sel['SourceName'] = selection['SourceName'] arrayname = selection['Key'] if 'Key' not in sel: sel['Key'] = selection['Key'] if arrayname not in sel: sel[arrayname] = {'rows':[],'cols':[]} if selection['plot'] == 'cols': selsignal["selection"] = {"cols":{}} selsignal["selection"]["cols"] = {} selsignal["selection"]["cols"]["x"] = [selection['x']] selsignal["selection"]["cols"]["y"] = [selection['y']] if type(self.data.sourceName) == type(''): sname = [self.data.sourceName] else: sname = self.data.sourceName selsignal["legend"] = sname[0] +\ " "+selsignal['Key']+\ ".c.%d" % int(selection['y']) sel[arrayname]['cols'].append({'x':selection['x'],'y':selection['y']}) elif selection['plot'] == 'rows': sel[arrayname]['rows'].append({'x':selection['x'],'y':selection['y']}) selsignal["selection"] = {"rows":{}} selsignal["selection"]["rows"] = {} selsignal["selection"]["rows"]["x"] = [selection['x']] selsignal["selection"]["rows"]["y"] = [selection['y']] if type(self.data.sourceName) == type(''): sname = [self.data.sourceName] else: sname = self.data.sourceName selsignal["legend"] = sname[0] +\ " "+selsignal['Key']+\ ".r.%d" % int(selection['y']) elif selection['plot'] == 'XIA': sel[arrayname]['rows'].append({'x':selection['x'], 'y':selection['y']}) #selsignal["Key"] += ".r.%d" % int(selection['y']) selsignal["selection"] = {"rows":{}, "XIA":True} selsignal["selection"]["rows"] = {} selsignal["selection"]["rows"]["x"] = [selection['x']] selsignal["selection"]["rows"]["y"] = [selection['y']] if type(self.data.sourceName) == type(''): sname = [self.data.sourceName] else: sname = self.data.sourceName selsignal["legend"] = sname[0] +\ " "+selsignal['Key']+\ " #%02d" % int(selection['y']) elif selection['plot'] == 'scan': if SCAN_MODE: #sel[arrayname]['cols'].append({'x':selection['selection']['x'][0], # 'y':selection['selection']['y'][0]}) selsignal["selection"] = selection['selection'] selsignal['legend'] = self.data.sourceName + " " + \ selsignal['Key'] selsignal['scanselection'] = True #print "cheeting" #selsignal['scanselection'] = False else: #do it as a col sel[arrayname]['cols'].append({'x':selection['selection']['x'], 'y':selection['selection']['y']}) selsignal["selection"] = {'cols':{}} selsignal["selection"]["cols"]["x"] = selection['selection']['x'] selsignal["selection"]["cols"]["y"] = selection['selection']['y'] selsignal['legend'] = self.data.sourceName + " " + \ selsignal['Key'] selsignal['scanselection'] = True #print "cheeting" #selsignal['scanselection'] = False elif selection['plot'] == 'image': selsignal["selection"] = selection['selection'] selsignal['legend'] = self.data.sourceName + " " + \ selsignal['Key'] selsignal['scanselection'] = False selsignal['imageselection'] = True sellistsignal.append(selsignal) self.setSelected([sel],reset=1) self.sigReplaceSelection.emit(sellistsignal) def currentSelectionList(self): return self._addCliked(emit = False) def __addClicked(self): return self._addClicked() def _addClicked(self, emit=True): if DEBUG: print("select clicked") selkeys= self.__getSelectedKeys() if DEBUG: print("selected keys = ",selkeys ) if len(selkeys): #self.eh.event(self.addEvent, selkeys) if DEBUG: print("Select event") sel = {} sel['SourceType'] = SOURCE_TYPE sellistsignal = [] for selection in selkeys: selsignal = {} selsignal['SourceType'] = self.data.sourceType selsignal['SourceName'] = self.data.sourceName selsignal['selection'] = None selsignal['Key'] = selection['Key'] if 'SourceName' not in sel: sel['SourceName'] = selection['SourceName'] arrayname = selection['Key'] if 'Key' not in sel: sel['Key'] = selection['Key'] if arrayname not in sel: sel[arrayname] = {'rows':[],'cols':[]} if selection['plot'] == 'XIA': sel[arrayname]['rows'].append({'x':selection['x'], 'y':selection['y']}) #selsignal["Key"] += ".r.%d" % int(selection['y']) selsignal["selection"] = {"rows":{}, "XIA":True} selsignal["selection"]["rows"] = {} selsignal["selection"]["rows"]["x"] = [selection['x']] selsignal["selection"]["rows"]["y"] = [selection['y']] if type(self.data.sourceName) == type(''): sname = [self.data.sourceName] else: sname = self.data.sourceName selsignal["legend"] = sname[0] +\ " "+selsignal['Key']+\ " #%02d" % int(selection['y']) elif selection['plot'] == 'cols': sel[arrayname]['cols'].append({'x':selection['x'], 'y':selection['y']}) #selsignal["Key"] += ".c.%d" % int(selection['y']) selsignal["selection"] = {"cols":{}} selsignal["selection"]["cols"] = {} selsignal["selection"]["cols"]["x"] = [selection['x']] selsignal["selection"]["cols"]["y"] = [selection['y']] if type(self.data.sourceName) == type(''): sname = [self.data.sourceName] else: sname = self.data.sourceName selsignal["legend"] = sname[0] +\ " "+selsignal['Key']+\ ".c.%d" % int(selection['y']) elif selection['plot'] == 'rows': sel[arrayname]['rows'].append({'x':selection['x'], 'y':selection['y']}) #selsignal["Key"] += ".r.%d" % int(selection['y']) selsignal["selection"] = {"rows":{}} selsignal["selection"]["rows"] = {} selsignal["selection"]["rows"]["x"] = [selection['x']] selsignal["selection"]["rows"]["y"] = [selection['y']] if type(self.data.sourceName) == type(''): sname = [self.data.sourceName] else: sname = self.data.sourceName selsignal["legend"] = sname[0] +\ " "+selsignal['Key']+\ ".r.%d" % int(selection['y']) elif selection['plot'] == 'scan': if SCAN_MODE: #sel[arrayname]['cols'].append({'x':selection['selection']['x'][0], # 'y':selection['selection']['y'][0]}) selsignal["selection"] = selection['selection'] selsignal['legend'] = self.data.sourceName + " " + \ selsignal['Key'] selsignal['scanselection'] = True #print "cheeting" #selsignal['scanselection'] = False else: #do it as a col sel[arrayname]['cols'].append({'x':selection['selection']['x'], 'y':selection['selection']['y']}) selsignal["selection"] = {'cols':{}} selsignal["selection"]["cols"]["x"] = selection['selection']['x'] selsignal["selection"]["cols"]["y"] = selection['selection']['y'] selsignal['legend'] = self.data.sourceName + " " + \ selsignal['Key'] selsignal['scanselection'] = True #print "cheeting" #selsignal['scanselection'] = False elif selection['plot'] == 'image': selsignal["selection"] = selection['selection'] selsignal['legend'] = self.data.sourceName + " " + \ selsignal['Key'] selsignal['scanselection'] = False selsignal['imageselection'] = True sellistsignal.append(selsignal) if self.selection is None: self.setSelected([sel],reset=1) else: self.setSelected([sel],reset=0) if emit: self.sigAddSelection.emit(sellistsignal) else: return sellistsignal def __getSelectedKeys(self): selkeys= [] parwid= self.paramWidget.currentWidget() if self.currentArray is not None: for sel in parwid.getSelection(): sel["SourceName"]= self.currentSpec sel['SourceType'] = SOURCE_TYPE sel["Key"]= self.currentArray selkeys.append(sel) return selkeys def __removeClicked(self): if DEBUG: print("remove clicked") selkeys= self.__getSelectedKeys() if len(selkeys): #self.eh.event(self.delEvent, selkeys) if DEBUG: print("Remove Event") print("self.selection before = ",self.selection) returnedselection=[] sellistsignal = [] for selection in selkeys: selsignal = {} selsignal['SourceType'] = self.data.sourceType selsignal['SourceName'] = self.data.sourceName selsignal['selection'] = None selsignal['Key'] = selection['Key'] sel = {} sel['SourceName'] = selection['SourceName'] sel['SourceType'] = SOURCE_TYPE sel['Key'] = selection['Key'] arrayname = selection['Key'] sel[arrayname] = {'rows':[],'cols':[]} if selection['plot'] == 'cols': sel[arrayname]['cols'].append({'x':selection['x'],'y':selection['y']}) selsignal["selection"] = {"cols":{}} selsignal["selection"]["cols"] = {} selsignal["selection"]["cols"]["x"] = [selection['x']] selsignal["selection"]["cols"]["y"] = [selection['y']] if type(self.data.sourceName) == type(''): sname = [self.data.sourceName] else: sname = self.data.sourceName selsignal["legend"] = sname[0] +\ " "+selsignal['Key']+\ ".c.%d" % int(selection['y']) elif selection['plot'] == 'rows': sel[arrayname]['rows'].append({'x':selection['x'],'y':selection['y']}) selsignal["selection"] = {"rows":{}} selsignal["selection"]["rows"] = {} selsignal["selection"]["rows"]["x"] = [selection['x']] selsignal["selection"]["rows"]["y"] = [selection['y']] if type(self.data.sourceName) == type(''): sname = [self.data.sourceName] else: sname = self.data.sourceName selsignal["legend"] = sname[0] +\ " "+selsignal['Key']+\ ".r.%d" % int(selection['y']) elif selection['plot'] == 'XIA': sel[arrayname]['rows'].append({'x':selection['x'], 'y':selection['y']}) #selsignal["Key"] += ".r.%d" % int(selection['y']) selsignal["selection"] = {"rows":{}, "XIA":True} selsignal["selection"]["rows"] = {} selsignal["selection"]["rows"]["x"] = [selection['x']] selsignal["selection"]["rows"]["y"] = [selection['y']] if type(self.data.sourceName) == type(''): sname = [self.data.sourceName] else: sname = self.data.sourceName selsignal["legend"] = sname[0] +\ " "+selsignal['Key']+\ " #%02d" % int(selection['y']) elif selection['plot'] == 'scan': #sel[arrayname]['cols'].append({'x':selection['selection']['x'][0], # 'y':selection['selection']['y'][0]}) selsignal["selection"] = selection['selection'] selsignal['legend'] = self.data.sourceName + " " + \ selsignal['Key'] selsignal['scanselection'] = True elif selection['plot'] == 'image': selsignal["selection"] = selection['selection'] selsignal['legend'] = self.data.sourceName + " " + \ selsignal['Key'] selsignal['scanselection'] = False selsignal['imageselection'] = True sellistsignal.append(selsignal) returnedselection.append(sel) if self.selection is not None: if DEBUG: print("step 1") if sel['SourceName'] in self.selection: if DEBUG: print("step 2") if arrayname in self.selection[sel['SourceName']]: if DEBUG: print("step 3") if 'rows' in self.selection[sel['SourceName']][arrayname]: if DEBUG: print("step 4") for couple in sel[arrayname]['rows']: if couple in self.selection[sel['SourceName']][arrayname]['rows']: index= self.selection[sel['SourceName']][arrayname]['rows'].index(couple) del self.selection[sel['SourceName']][arrayname]['rows'][index] for couple in sel[arrayname]['cols']: if couple in self.selection[sel['SourceName']][arrayname]['cols']: index= self.selection[sel['SourceName']][arrayname]['cols'].index(couple) del self.selection[sel['SourceName']][arrayname]['cols'][index] seln = {} seln['SourceName'] = sel['SourceName'] seln['SourceType'] = SOURCE_TYPE seln['Key'] = sel['Key'] seln[seln['Key']] = self.selection[seln['SourceName']][seln['Key']] self.setSelected([seln],reset=0) self.sigRemoveSelection.emit(sellistsignal) def removeSelection(self,selection): if type(selection) != type([]): selection=[selection] for sel in selection: arrayname = sel['Key'] if self.selection is not None: if DEBUG: print("step 1") if sel['SourceName'] in self.selection: if DEBUG: print("step 2") if arrayname in self.selection[sel['SourceName']]: if DEBUG: print("step 3") if 'rows' in self.selection[sel['SourceName']][arrayname]: if DEBUG: print("step 4") for couple in sel[arrayname]['rows']: if couple in self.selection[sel['SourceName']][arrayname]['rows']: index= self.selection[sel['SourceName']][arrayname]['rows'].index(couple) del self.selection[sel['SourceName']][arrayname]['rows'][index] for couple in sel[arrayname]['cols']: if couple in self.selection[sel['SourceName']][arrayname]['cols']: index= self.selection[sel['SourceName']][arrayname]['cols'].index(couple) del self.selection[sel['SourceName']][arrayname]['cols'][index] seln = {} seln['SourceName'] = sel['SourceName'] seln['SourceType'] = SOURCE_TYPE seln['Key'] = sel['Key'] seln[seln['Key']] = self.selection[seln['SourceName']][seln['Key']] self.setSelected([seln],reset=0) self.sigRemoveSelection.emit((selection)) def setSelected(self,sellist,reset=1): if DEBUG: print("setSelected(self,sellist,reset=1) called") print("sellist = ",sellist) print("selection before = ",self.selection) print("reset = ",reset) if reset: self.selection = {} elif self.selection is None: self.selection = {} for sel in sellist: specname = sel['SourceName'] #selkey is the array name what to do if multiple array names? if type(sel["Key"]) == type([]): selkey = sel["Key"][0] else: selkey = sel["Key"] if specname not in self.selection: self.selection[specname]= {} if selkey not in self.selection[specname]: self.selection[specname][selkey] = {'rows':[],'cols':[]} if 'rows' in sel[selkey]: for rowsel in sel[selkey]['rows']: if rowsel not in self.selection[specname][selkey]['rows']: self.selection[specname][selkey]['rows'].append(rowsel) if 'cols' in sel[selkey]: for rowsel in sel[selkey]['cols']: if rowsel not in self.selection[specname][selkey]['cols']: self.selection[specname][selkey]['cols'].append(rowsel) if DEBUG: print("self.selection after = ",self.selection) self.__refreshSelection() def getSelection(self): """ Give the dicionary of dictionaries as an easy to understand list of individual selections """ selection = [] if self.selection is None: return selection for sourcekey in self.selection.keys(): for arraykey in self.selection[sourcekey].keys(): sel={} sel['SourceName'] = sourcekey sel['SourceType'] = 'SPS' sel['Key'] = arraykey sel[arraykey] = self.selection[sourcekey][arraykey] selection.append(sel) return selection def __refreshSelection(self): return if DEBUG: print("__refreshSelection(self) called") print(self.selection) if self.selection is not None: sel = self.selection.get(self.data.SourceName, {}) selkeys = [] for key in sel.keys(): if (sel[key]['mca'] != []) or (sel[key]['scan']['Ycnt'] != []): selkeys.append(key) if DEBUG: print("selected scans =",selkeys) print("but self.selection = ",self.selection) print("and self.selection.get(self.data.SourceName, {}) =",sel) self.scanList.markScanSelected(selkeys) scandict = sel.get(self.currentScan, {}) if 'mca' in scandict: self.mcaTable.markMcaSelected(scandict['mca']) else: self.mcaTable.markMcaSelected([]) if 'scan' in scandict: self.cntTable.markCntSelected(scandict['scan']) else: self.cntTable.markCntSelected({}) def isSelectionUpdated(self,sellist): outsel = [] if type(sellist) != type([]): sellist = [sellist] for ddict in sellist: #for dict in selection: if 'SourceName' in ddict: spec = ddict['SourceName'] if 'Key' in ddict: shm = ddict['Key'] if shm in ddict: check = 0 rows = [] cols = [] if 'cols' in ddict[shm]: cols = ddict[shm]['cols'] if len(cols): check = 1 if 'rows' in ddict[shm]: rows = ddict[shm]['rows'] if len(rows): check = 1 if check and sps.specrunning(spec): if sps.isupdated(spec,shm): outsel.append({'SourceName':spec, 'Key':shm, shm:{'rows':rows, 'cols':cols}, 'SourceType':'SPS'}) return outsel def test(): import sys from PyMca5.PyMcaGui.pymca import QSpsDataSource a= qt.QApplication(sys.argv) a.lastWindowClosed.connect(a.quit) def replaceSelection(sel): print("replaceSelection", sel) def removeSelection(sel): print("removeSelection", sel) def addSelection(sel): print("addSelection", sel) w= QSpsWidget() w.sigAddSelection.connect(addSelection) w.sigRemoveSelection.connect(removeSelection) w.sigReplaceSelection.connect(replaceSelection) #d = QSpsDataSource.QSpsDataSource() #w.setData(d) """ w.eh.register("addSelection", addSelection) w.eh.register("repSelection", repSelection) """ w.show() a.exec_() if __name__=="__main__": test() ���������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/hdf5/���������������������������������������������������������������0000755�0002763�0000175�00000000000�13205526235�016737� 5����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/hdf5/HDF5Widget.py��������������������������������������������������0000644�0002763�0000175�00000073270�13173367502�021160� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, ESRF - D. Dale CHESS # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "Darren Dale (CHESS) & V.A. Sole (ESRF)" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import posixpath import gc import re from operator import itemgetter import h5py import weakref try: from silx.io import is_group from silx.io import open as h5open import logging logging.getLogger("silx.io.fabioh5").setLevel(logging.CRITICAL) except ImportError: def is_group(node): return isinstance(node, h5py.Group) def h5open(filename): return h5py.File(filename, "r") from PyMca5.PyMcaGui import PyMcaQt as qt safe_str = qt.safe_str if hasattr(qt, 'QStringList'): MyQVariant = qt.QVariant else: def MyQVariant(x=None): return x DEBUG = 0 QVERSION = qt.qVersion() #sorting method def h5py_sorting(object_list): sorting_list = ['start_time', 'end_time', 'name'] n = len(object_list) if n < 2: return object_list # we have received items, not values # perform a first sort based on received names # this solves a problem with Eiger data where all the # external data have the same posixName. Without this sorting # they arrive "unsorted" object_list.sort() try: posixNames = [item[1].name for item in object_list] except AttributeError: # Typical of broken external links if DEBUG: print("HDF5Widget: Cannot get posixNames") return object_list # This implementation only sorts entries if posixpath.dirname(posixNames[0]) != "/": return object_list sorting_key = None if hasattr(object_list[0][1], "items"): for key in sorting_list: if key in [x[0] for x in object_list[0][1].items()]: sorting_key = key break if sorting_key is None: if 'name' in sorting_list: sorting_key = 'name' else: return object_list try: if sorting_key != 'name': sorting_list = [(o[1][sorting_key].value, o) for o in object_list] sorted_list = sorted(sorting_list, key=itemgetter(0)) return [x[1] for x in sorted_list] if sorting_key == 'name': sorting_list = [(_get_number_list(o[1].name),o) for o in object_list] sorting_list.sort() return [x[1] for x in sorting_list] except: #The only way to reach this point is to have different #structures among the different entries. In that case #defaults to the unfiltered case print("WARNING: Default ordering") print("Probably all entries do not have the key %s" % sorting_key) return object_list def _get_number_list(txt): rexpr = '[/a-zA-Z:-]' nbs= [float(w) for w in re.split(rexpr, txt) if w not in ['',' ']] return nbs class BrokenLink(object): pass class QRLock(qt.QMutex): """ """ def __init__(self): qt.QMutex.__init__(self, qt.QMutex.Recursive) def __enter__(self): self.lock() return self def __exit__(self, type, value, traceback): self.unlock() class RootItem(object): @property def children(self): return self._children @property def hasChildren(self): if len(self._children): return True else: return False @property def header(self): return self._header @property def parent(self): return None def __init__(self, header): self._header = header self._children = [] self._identifiers = [] def __iter__(self): def iter_files(files): for f in files: yield f return iter_files(self.children) def __len__(self): return len(self.children) def appendChild(self, item): self.children.append(H5FileProxy(item, self)) self._identifiers.append(id(item)) def deleteChild(self, child): idx = self._children.index(child) del self._children[idx] del self._identifiers[idx] class H5NodeProxy(object): @property def children(self): if not self.hasChildren: return [] if not self._children: # obtaining the lock here is necessary, otherwise application can # freeze if navigating tree while data is processing if 1: #with self.file.plock: items = list(self.getNode(self.name).items()) if posixpath.dirname(self.name) == "/": # top level item doit = True else: doit = False try: # better handling of external links finalList = h5py_sorting(items) for i in range(len(finalList)): if finalList[i][1] is not None: finalList[i][1]._posixPath = posixpath.join(self.name, finalList[i][0]) else: finalList[i] = [x for x in finalList[i]] finalList[i][1] = BrokenLink() finalList[i][1]._posixPath = posixpath.join(self.name, finalList[i][0]) self._children = [H5NodeProxy(self.file, i[1], self) for i in finalList] except: #one cannot afford any error, so I revert to the old # method where values where used instead of items if DEBUG: raise else: # tmpList = list(self.getNode(self.name).values()) # spech5 does not implement values() prior to silx 0.6.0 tmpList = list(map(self.getNode(self.name).__getitem__, self.getNode(self.name).keys())) finalList = tmpList for i in range(len(finalList)): finalList[i]._posixPath = posixpath.join(self.name, items[i][0]) self._children = [H5NodeProxy(self.file, i, self) for i in finalList] return self._children @property def file(self): return self._file @property def hasChildren(self): return self._hasChildren @property def name(self): return self._name @property def row(self): if 1:#with self.file.plock: try: return self.parent.children.index(self) except ValueError: return @property def type(self): return self._type @property def shape(self): if type(self._shape) == type(""): return self._shape if len(self._shape) == 1: return "%d" % self._shape[0] elif len(self._shape) > 1: text = "%d" % self._shape[0] for a in range(1, len(self._shape)): text += " x %d" % self._shape[a] return text else: return "" @property def dtype(self): return self._dtype @property def parent(self): return self._parent def __init__(self, ffile, node, parent=None, path=None): if 1:#with ffile.plock: self._file = ffile self._parent = parent if hasattr(node, '_posixPath'): self._name = node._posixPath else: self._name = node.name """ if hasattr(node, "_sourceName"): self._name = node._sourceName else: self._name = posixpath.basename(node.name) """ self._type = type(node).__name__ self._hasChildren = is_group(node) if hasattr(node, 'attrs'): attrs = list(node.attrs) for cname in ['class', 'NX_class']: if cname in attrs: nodeattr = node.attrs[cname] if sys.version <'3.0': _type = "%s" % nodeattr elif hasattr(nodeattr, "decode"): _type = nodeattr.decode('utf=8') else: _type = "%s" % nodeattr self._type = _type break #self._type = _type[2].upper() + _type[3:] self._children = [] if hasattr(node, 'dtype'): self._dtype = safe_str(node.dtype) else: self._dtype = "" if hasattr(node, 'shape'): if 0: self._shape = safe_str(node.shape) else: self._shape = node.shape else: self._shape = "" def clearChildren(self): self._children = [] self._hasChildren = False def getNode(self, name=None): if not name: name = self.name return self.file[name] def __len__(self): return len(self.children) class H5FileProxy(H5NodeProxy): @property def name(self): return '/' @property def filename(self): return self._filename def __init__(self, ffile, parent=None): super(H5FileProxy, self).__init__(ffile, ffile, parent) self._name = ffile.name self._filename = self.file.name def close(self): if 1: # with self.file.plock: return self.file.close() def __getitem__(self, path): if path == '/': return self else: return H5NodeProxy(self.file, self.file[path], self) class FileModel(qt.QAbstractItemModel): """ """ sigFileUpdated = qt.pyqtSignal(object) sigFileAppended = qt.pyqtSignal(object) def __init__(self, parent=None): qt.QAbstractItemModel.__init__(self, parent) self.rootItem = RootItem(['File/Group/Dataset', 'Description', 'Shape', 'DType']) self._idMap = {qt.QModelIndex().internalId(): self.rootItem} def clearRows(self, index): self.getProxyFromIndex(index).clearChildren() def close(self): for item in self.rootItem: item.close() self._idMap = {} def columnCount(self, parent): return 4 def data(self, index, role): if role != qt.Qt.DisplayRole: return MyQVariant() item = self.getProxyFromIndex(index) column = index.column() if column == 0: if isinstance(item, H5FileProxy): return MyQVariant(os.path.basename(item.file.filename)) else: return MyQVariant(posixpath.basename(item.name)) if column == 1: showtitle = True if showtitle: if hasattr(item, 'type'): if item.type in ["Entry", "NXentry"]: children = item.children names = [posixpath.basename(o.name) for o in children] if "title" in names: idx = names.index("title") if len(children[idx].getNode().shape): #stored as an array of strings!!! #return just the first item return MyQVariant("%s" % children[idx].getNode().value[0]) else: #stored as a string return MyQVariant("%s" % children[idx].getNode().value) return MyQVariant(item.type) if column == 2: return MyQVariant(item.shape) if column == 3: return MyQVariant(item.dtype) return MyQVariant() def getNodeFromIndex(self, index): try: return self.getProxyFromIndex(index).getNode() except AttributeError: return None def getProxyFromIndex(self, index): try: return self._idMap[index.internalId()] except KeyError: try: #Linux 32-bit problem return self._idMap[index.internalId() & 0xFFFFFFFF] except KeyError: return self.rootItem def hasChildren(self, index): return self.getProxyFromIndex(index).hasChildren def headerData(self, section, orientation, role): if orientation == qt.Qt.Horizontal and \ role == qt.Qt.DisplayRole: return MyQVariant(self.rootItem.header[section]) return MyQVariant() def hasIndex(self, row, column, parent): parentItem = self.getProxyFromIndex(parent) if row >= len(parentItem.children): return False return True def index(self, row, column, parent): parentItem = self.getProxyFromIndex(parent) if row >= len(parentItem.children): return qt.QModelIndex() child = parentItem.children[row] #force a pointer to child and not use id(child) index = self.createIndex(row, column, child) self._idMap.setdefault(index.internalId(), child) return index def parent(self, index): child = self.getProxyFromIndex(index) parent = child.parent if parent == self.rootItem: return qt.QModelIndex() if parent is None: return qt.QModelIndex() if parent.row is None: return qt.QModelIndex() else: return self.createIndex(parent.row, 0, parent) def rowCount(self, index): return len(self.getProxyFromIndex(index)) def openFile(self, filename, weakreference=False): gc.collect() for item in self.rootItem: if item.file.filename == filename: ddict = {} ddict['event'] = "fileUpdated" ddict['filename'] = filename self.sigFileUpdated.emit(ddict) return item.file phynxFile = h5open(filename) if weakreference: def phynxFileInstanceDistroyed(weakrefObject): idx = self.rootItem._identifiers.index(id(weakrefObject)) child = self.rootItem._children[idx] child.clearChildren() del self._idMap[id(child)] self.rootItem.deleteChild(child) if not self.rootItem.hasChildren: self.clear() return refProxy = weakref.proxy(phynxFile, phynxFileInstanceDistroyed) self.rootItem.appendChild(refProxy) else: self.rootItem.appendChild(phynxFile) ddict = {} ddict['event'] = "fileAppended" ddict['filename'] = filename self.sigFileAppended.emit(ddict) return phynxFile def appendPhynxFile(self, phynxFile, weakreference=True): """ I create a weak reference to a phynx file instance, get informed when the instance disappears, and delete the entry from the view """ if hasattr(phynxFile, "_sourceName"): name = phynxFile._sourceName else: name = phynxFile.name gc.collect() present = False for child in self.rootItem: if child.file.filename == name: #already present present = True break if present: ddict = {} ddict['event'] = "fileUpdated" ddict['filename'] = name self.sigFileUpdated.emit(ddict) return if weakreference: def phynxFileInstanceDistroyed(weakrefObject): idx = self.rootItem._identifiers.index(id(weakrefObject)) child = self.rootItem._children[idx] child.clearChildren() del self._idMap[id(child)] self.rootItem.deleteChild(child) if not self.rootItem.hasChildren: self.clear() return phynxFileProxy = weakref.proxy(phynxFile, phynxFileInstanceDistroyed) self.rootItem.appendChild(phynxFileProxy) else: self.rootItem.appendChild(phynxFile) ddict = {} ddict['event'] = "fileAppended" ddict['filename'] = name self.sigFileAppended.emit(ddict) def clear(self): if DEBUG: print("Clear called") # reset is considered obsolete under Qt 5. if hasattr(self, "reset"): self.reset() class FileView(qt.QTreeView): sigHDF5WidgetSignal = qt.pyqtSignal(object) def __init__(self, fileModel, parent=None): qt.QTreeView.__init__(self, parent) self.setModel(fileModel) self.setColumnWidth(0, 250) #This removes the children after a double click #with no possibility to recover them #self.collapsed[QModelIndex].connect(fileModel.clearRows) fileModel.sigFileAppended.connect(self.fileAppended) fileModel.sigFileUpdated.connect(self.fileUpdated) def fileAppended(self, ddict=None): self.doItemsLayout() if ddict is None: return self.fileUpdated(ddict) def fileUpdated(self, ddict): rootModelIndex = self.rootIndex() if self.model().hasChildren(rootModelIndex): rootItem = self.model().getProxyFromIndex(rootModelIndex) for row in range(len(rootItem)): if self.model().hasIndex(row, 0, rootModelIndex): modelIndex = self.model().index(row, 0, rootModelIndex) item = self.model().getProxyFromIndex(modelIndex) if item.name == ddict['filename']: self.selectionModel().setCurrentIndex(modelIndex, qt.QItemSelectionModel.NoUpdate) self.scrollTo(modelIndex, qt.QAbstractItemView.PositionAtTop) break self.doItemsLayout() class HDF5Widget(FileView): def __init__(self, model, parent=None): FileView.__init__(self, model, parent) self.setSelectionBehavior(qt.QAbstractItemView.SelectRows) self._adjust() if 0: self.activated[qt.QModelIndex].connect(self.itemActivated) self.clicked[qt.QModelIndex].connect(self.itemClicked) self.doubleClicked[qt.QModelIndex].connect(self.itemDoubleClicked) self.collapsed[qt.QModelIndex].connect(self._adjust) self.expanded[qt.QModelIndex].connect(self._adjust) def _adjust(self, modelIndex=None): self.resizeColumnToContents(0) self.resizeColumnToContents(1) self.resizeColumnToContents(2) self.resizeColumnToContents(3) def mousePressEvent(self, e): button = e.button() if button == qt.Qt.LeftButton: self._lastMouse = "left" elif button == qt.Qt.RightButton: self._lastMouse = "right" elif button == qt.Qt.MidButton: self._lastMouse = "middle" else: #Should I set it to no button? self._lastMouse = "left" qt.QTreeView.mousePressEvent(self, e) if self._lastMouse != "left": # Qt5 only sends itenClicked on left button mouse click if QVERSION > "5": event = "itemClicked" modelIndex = self.indexAt(e.pos()) self.emitSignal(event, modelIndex) def itemActivated(self, modelIndex): event = "itemActivated" self.emitSignal(event, modelIndex) def itemClicked(self, modelIndex): event ="itemClicked" self.emitSignal(event, modelIndex) def itemDoubleClicked(self, modelIndex): event ="itemDoubleClicked" self.emitSignal(event, modelIndex) def selectionChanged(self, selected, deselected): super(HDF5Widget, self).selectionChanged(selected, deselected) event = "itemSelectionChanged" modelIndex = self.currentIndex() self.emitSignal(event, modelIndex) def emitSignal(self, event, modelIndex): if self.model() is None: return item = self.model().getProxyFromIndex(modelIndex) if QVERSION > "5": # prevent crash clicking on empty space if not hasattr(item, "file"): # RootItem return ddict = {} ddict['event'] = event ddict['file'] = item.file.filename ddict['name'] = item.name ddict['type'] = item.type ddict['dtype'] = item.dtype ddict['shape'] = item.shape ddict['mouse'] = self._lastMouse * 1 self.sigHDF5WidgetSignal.emit(ddict) def getSelectedEntries(self): modelIndexList = self.selectedIndexes() entryList = [] analyzedPaths = [] for modelIndex in modelIndexList: item = self.model().getProxyFromIndex(modelIndex) path = item.name * 1 if path in analyzedPaths: continue else: analyzedPaths.append(path) if item.type in ["weakproxy", "File"]: continue entry = "/" + path.split("/")[1] if entry not in entryList: entryList.append((entry, item.file.filename)) return entryList class Hdf5SelectionDialog(qt.QDialog): """Dialog widget to select a HDF5 item in a file. It is composed of a :class:`HDF5Widget` tree view, and two buttons Ok and Cancel. When the dialog's execution is ended with a click on the OK button, or with a double-click on an item of the proper type, the URI of the selected item will be available in attribute :attr:`selectedItemUri`. If the user clicked cancel or closed the dialog without selecting an item, :attr:`selectedItemUri` will be None.""" datasetTypes = ['dataset', 'spech5dataset', 'spech5linktodataset', # spech5 'framedata', 'rawheaderdata'] # fabioh5 def __init__(self, parent=None, filename=None, message=None, itemtype="any"): """ :param filename: Name of the HDF5 file :param value: If True returns dataset value instead of just the dataset. This must be False if itemtype is not "dataset". :param str itemtype: "dataset" or "group" or "any" (default) """ message = message if message is not None else 'Select your item' self.itemtype = itemtype if itemtype is not None else "any" if self.itemtype not in ["any", "dataset", "group"]: raise AttributeError( "Invalid itemtype %s, should be 'group', 'dataset' or 'any'" % itemtype) if filename is None: filename = _getFilenameDialog() if filename is None: raise IOError("No filename specified") qt.QDialog.__init__(self, parent) self.setWindowTitle(message) mainLayout = qt.QVBoxLayout(self) mainLayout.setContentsMargins(0, 0, 0, 0) mainLayout.setSpacing(0) self.fileModel = FileModel() self.fileView = HDF5Widget(self.fileModel) self.hdf5File = self.fileModel.openFile(filename) self.fileView.sigHDF5WidgetSignal.connect(self._hdf5WidgetSlot) mainLayout.addWidget(self.fileView) buttonContainer = qt.QWidget(self) buttonContainerLayout = qt.QHBoxLayout(buttonContainer) mainLayout.setContentsMargins(0, 0, 0, 0) mainLayout.setSpacing(0) self.okb = qt.QPushButton("OK", buttonContainer) cancelb = qt.QPushButton("Cancel", buttonContainer) self.okb.clicked.connect(self.onOk) self.okb.setEnabled(False) # requires item to be clicked or activated cancelb.clicked.connect(self.reject) buttonContainerLayout.addWidget(self.okb) buttonContainerLayout.addWidget(cancelb) mainLayout.addWidget(buttonContainer) self.resize(400, 200) self.selectedItemUri = None """URI of selected HDF5 item, with format 'filename::item_name' """ self._lastEvent = None """Dictionary with info about latest event""" def _hdf5WidgetSlot(self, ddict): self._lastEvent = ddict eventType = ddict['type'].lower() isExpectedType = self.itemtype.lower() == "any" or \ (eventType in self.datasetTypes and self.itemtype == "dataset") or \ (eventType not in self.datasetTypes and self.itemtype == "group") if isExpectedType: self.okb.setEnabled(True) else: self.okb.setEnabled(False) if ddict['event'] == "itemDoubleClicked": if isExpectedType: self.selectedItemUri = ddict['file'] + "::" + ddict['name'] self.accept() def onOk(self): self.selectedItemUri = self._lastEvent['file'] + "::" + self._lastEvent['name'] self.accept() def exec_(self): ret = qt.QDialog.exec_(self) self.hdf5File.close() return ret def _getFilenameDialog(): """Open a dialog to select a file in a filesystem tree view. Return the selected filename.""" from PyMca5.PyMcaGui.io import PyMcaFileDialogs fileTypeList = ['HDF5 Files (*.h5 *.nxs *.hdf)', 'HDF5 Files (*)'] message = "Open HDF5 file" filenamelist, ffilter = PyMcaFileDialogs.getFileList(parent=None, filetypelist=fileTypeList, message=message, getfilter=True, single=True, currentfilter=None) if len(filenamelist) < 1: return None return filenamelist[0] def getDatasetValueDialog(filename=None, message=None): """Open a dialog to select a dataset in a HDF5 file. Return the value of the dataset. If the dataset selection was cancelled, None is returned. :param str filename: HDF5 file path. If None, a file dialog is used to select the file. :param str message: Message used as window title for dialog :return: HDF5 dataset as numpy array, or None """ hdf5Dialog = Hdf5SelectionDialog(None, filename, message, "dataset") ret = hdf5Dialog.exec_() if not ret: return None selectedHdf5Uri = hdf5Dialog.selectedItemUri with h5open(filename) as hdf5File: hdf5Item = hdf5File[selectedHdf5Uri.split("::")[-1]] data = hdf5Item.value return data def getDatasetDialog(filename=None, value=False, message=None): # function kept for backward compatibility, in case someone # uses it with value=False outside PyMca5 if value: return getDatasetValueDialog(filename, message) hdf5Dialog = Hdf5SelectionDialog(None, filename, message, "dataset") ret = hdf5Dialog.exec_() if not ret: return None selectedHdf5Uri = hdf5Dialog.selectedItemUri hdf5File = h5open(filename) return hdf5File[selectedHdf5Uri.split("::")[-1]] def getGroupNameDialog(filename=None, message=None): """Open a dialog to select a group in a HDF5 file. Return the name of the group. :param str filename: HDF5 file path. If None, a file dialog is used to select the file. :param str message: Message used as window title for dialog :return: HDF5 group name """ hdf5Dialog = Hdf5SelectionDialog(None, filename, message, "group") ret = hdf5Dialog.exec_() if not ret: return None selectedHdf5Uri = hdf5Dialog.selectedItemUri return selectedHdf5Uri.split("::")[-1] if __name__ == "__main__": if len(sys.argv) < 2: print("Usage:") print("python HDF5Widget.py path_to_hdf5_file_name") sys.exit(0) app = qt.QApplication(sys.argv) fileModel = FileModel() fileView = HDF5Widget(fileModel) phynxFile = fileModel.openFile(sys.argv[1]) def mySlot(ddict): print(ddict) if ddict['type'].lower() in Hdf5SelectionDialog.datasetTypes: print(phynxFile[ddict['name']].dtype, phynxFile[ddict['name']].shape) fileView.sigHDF5WidgetSignal.connect(mySlot) fileView.show() sys.exit(app.exec_()) ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/hdf5/HDF5CounterTable.py��������������������������������������������0000644�0002763�0000175�00000025117�13136054446�022320� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt safe_str = qt.safe_str DEBUG = 0 class HDF5CounterTable(qt.QTableWidget): sigHDF5CounterTableSignal = qt.pyqtSignal(object) def __init__(self, parent=None): qt.QTableWidget.__init__(self, parent) self.cntList = [] self.aliasList = [] self.mcaList = [] self.xSelection = [] self.ySelection = [] self.monSelection = [] self.__is3DEnabled = False labels = ['Counter', 'Axes', 'Signals', 'Monitor', 'Alias'] self.setColumnCount(len(labels)) for i in range(len(labels)): item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(labels[i], qt.QTableWidgetItem.Type) item.setText(labels[i]) self.setHorizontalHeaderItem(i,item) """ #the cell is not the same as the check box #but I wonder about the checkboxes being destroyed """ self.cellChanged[int, int].connect(self._aliasSlot) def build(self, cntlist, aliaslist=None): self.__building = True if aliaslist is None: import posixpath aliaslist = [] for item in cntlist: aliaslist.append(posixpath.basename(item)) if len(cntlist) != len(aliaslist): raise ValueError("Alias list and counter list must have same length") self.cntList = cntlist self.aliasList = aliaslist n = len(cntlist) self.setRowCount(n) if n > 0: self.setRowCount(n) rheight = self.horizontalHeader().sizeHint().height() for i in range(n): self.setRowHeight(i, rheight) self.__addLine(i, cntlist[i]) for j in range(1, 4, 1): widget = self.cellWidget(i, j) widget.setEnabled(True) else: self.setRowCount(0) self.resizeColumnToContents(1) self.resizeColumnToContents(2) self.resizeColumnToContents(3) self.__building = False def __addLine(self, i, cntlabel): #the counter name item = self.item(i, 0) if item is None: item = qt.QTableWidgetItem(cntlabel, qt.QTableWidgetItem.Type) item.setTextAlignment(qt.Qt.AlignHCenter | qt.Qt.AlignVCenter) self.setItem(i, 0, item) else: item.setText(cntlabel) #item is just enabled (not selectable) item.setFlags(qt.Qt.ItemIsEnabled) #the checkboxes for j in range(1, 4, 1): widget = self.cellWidget(i, j) if widget is None: widget = CheckBoxItem(self, i, j) self.setCellWidget(i, j, widget) widget.sigCheckBoxItemSignal.connect(self._mySlot) else: pass #the alias item = self.item(i, 4) alias = self.aliasList[i] if item is None: item = qt.QTableWidgetItem(alias, qt.QTableWidgetItem.Type) item.setTextAlignment(qt.Qt.AlignHCenter | qt.Qt.AlignVCenter) self.setItem(i, 4, item) else: item.setText(alias) def set3DEnabled(self, value): if value: self.__is3DEnabled = True else: self.__is3DEnabled = False if len(self.xSelection) > 1: self.xSelection = [1 * self.xSelection[0]] self._update() def _aliasSlot(self, row, col): if self.__building: return if col != 4: return item = self.item(row, 4) self.aliasList[row] = safe_str(item.text()) def _mySlot(self, ddict): row = ddict["row"] col = ddict["col"] if col == 1: if ddict["state"]: if row not in self.xSelection: self.xSelection.append(row) else: if row in self.xSelection: del self.xSelection[self.xSelection.index(row)] if not self.__is3DEnabled: if len(self.xSelection) > 2: #that is to support mesh plots self.xSelection = self.xSelection[-2:] if len(self.xSelection) > 1: self.xSelection = self.xSelection[-1:] elif len(self.xSelection) > 3: self.xSelection = self.xSelection[-3:] if col == 2: if ddict["state"]: if row not in self.ySelection: self.ySelection.append(row) else: if row in self.ySelection: del self.ySelection[self.ySelection.index(row)] if col == 3: if ddict["state"]: if row not in self.monSelection: self.monSelection.append(row) else: if row in self.monSelection: del self.monSelection[self.monSelection.index(row)] if len(self.monSelection) > 1: self.monSelection = self.monSelection[-1:] self._update() def _update(self): axisLabels = ['X', 'Y', 'Z'] for i in range(self.rowCount()): j = 1 widget = self.cellWidget(i, j) if i in self.xSelection: if not widget.isChecked(): widget.setChecked(True) widget.setText(axisLabels[self.xSelection.index(i)]) else: if widget.isChecked(): widget.setChecked(False) widget.setText("") j = 2 widget = self.cellWidget(i, j) if i in self.ySelection: if not widget.isChecked(): widget.setChecked(True) else: if widget.isChecked(): widget.setChecked(False) j = 3 widget = self.cellWidget(i, j) if i in self.monSelection: if not widget.isChecked(): widget.setChecked(True) else: if widget.isChecked(): widget.setChecked(False) ddict = {} ddict["event"] = "updated" self.sigHDF5CounterTableSignal.emit(ddict) def getCounterSelection(self): ddict = {} ddict['cntlist'] = self.cntList * 1 ddict['aliaslist'] = self.aliasList * 1 ddict['x'] = self.xSelection * 1 ddict['y'] = self.ySelection * 1 ddict['m'] = self.monSelection * 1 return ddict def setCounterSelection(self, ddict): keys = ddict.keys() if 'cntlist' in keys: cntlist = ddict['cntlist'] else: cntlist = self.cntList * 1 # no selection based on aliaslist or counterlist (yet?) if 0: if 'aliaslist' in keys: aliaslist = ddict['aliaslist'] elif len(self.aliasList) == len(cntlist): aliaslist = self.aliasList * 1 else: aliaslist = self.cntList * 1 if 'x' in keys: x = ddict['x'] else: x = [] if 'y' in keys: y = ddict['y'] else: y = [] if 'm' in keys: monitor = ddict['m'] else: monitor = [] self.xSelection = [] for item in x: if item < len(cntlist): counter = cntlist[item] if 0: if counter in self.cntList: self.xSelection.append(self.cntList.index(counter)) else: self.xSelection.append(item) self.ySelection = [] for item in y: if item < len(cntlist): counter = cntlist[item] if counter in self.cntList: self.ySelection.append(self.cntList.index(counter)) self.monSelection = [] for item in monitor: if item < len(cntlist): counter = cntlist[item] if counter in self.cntList: self.monSelection.append(self.cntList.index(counter)) self._update() class CheckBoxItem(qt.QCheckBox): sigCheckBoxItemSignal = qt.pyqtSignal(object) def __init__(self, parent, row, col): qt.QCheckBox.__init__(self, parent) self.__row = row self.__col = col self.clicked.connect(self._mySignal) def _mySignal(self, value): ddict = {} ddict["event"] = "clicked" ddict["state"] = value ddict["row"] = self.__row * 1 ddict["col"] = self.__col * 1 self.sigCheckBoxItemSignal.emit(ddict) def main(): app = qt.QApplication([]) tab = HDF5CounterTable() tab.build(["Cnt1", "Cnt2", "Cnt3"]) tab.setCounterSelection({'x':[1, 2], 'y':[4], 'cntlist':["dummy", "Cnt0", "Cnt1", "Cnt2", "Cnt3"]}) tab.show() app.exec_() if __name__ == "__main__": main() �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/hdf5/HDF5Selection.py�����������������������������������������������0000644�0002763�0000175�00000010247�13136054446�021654� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt safe_str = qt.safe_str DEBUG = 0 class HDF5Selection(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.selectionWidgetsDict = {} row = 0 for key in ['x', 'y', 'm']: label = qt.QLabel(self) label.setText(key+":") line = qt.QLineEdit(self) line.setReadOnly(True) self.mainLayout.addWidget(label, row, 0) self.mainLayout.addWidget(line, row, 1) self.selectionWidgetsDict[key] = line row += 1 def setSelection(self, selection): if 'cntlist' in selection: # "Raw" selection cntlist = selection['cntlist'] for key in ['x', 'y', 'm']: if key not in selection: self.selectionWidgetsDict[key].setText("") continue n = len(selection[key]) if not n: self.selectionWidgetsDict[key].setText("") continue idx = selection[key][0] text = "%s" % cntlist[idx] if n > 1: for idx in range(1, n): text += ", %s" % cntlist[selection[key][idx]] self.selectionWidgetsDict[key].setText(text) else: # "Digested" selection for key in ['x', 'y', 'm']: if key not in selection: self.selectionWidgetsDict[key].setText("") continue n = len(selection[key]) if not n: self.selectionWidgetsDict[key].setText("") continue text = "%s" % selection[key][0] if n > 1: for idx in range(1, n): text += ", %s" % selection[key][idx] self.selectionWidgetsDict[key].setText(text) def getSelection(self): selection = {} for key in ['x', 'y', 'm']: selection[key] = [] text = safe_str(self.selectionWidgetsDict[key].text()) text = text.replace(" ","") if len(text): selection[key] = text.split(',') return selection def main(): app = qt.QApplication([]) tab = HDF5Selection() tab.setSelection({'x':[1, 2], 'y':[4], 'cntlist':["dummy", "Cnt0", "Cnt1", "Cnt2", "Cnt3"]}) tab.show() app.exec_() if __name__ == "__main__": main() ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/hdf5/QNexusWidget.py������������������������������������������������0000644�0002763�0000175�00000070652�13173367502�021716� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import posixpath import weakref import gc import h5py from PyMca5.PyMcaGui import PyMcaQt as qt safe_str = qt.safe_str if hasattr(qt, 'QString'): QString = qt.QString else: QString = str from . import HDF5Widget from . import HDF5Info from . import HDF5CounterTable try: from . import Hdf5NodeView except ImportError: from . import HDF5DatasetTable Hdf5NodeView = None from PyMca5.PyMcaIO import ConfigDict if "PyMcaDirs" in sys.modules: from PyMca5 import PyMcaDirs DEBUG=0 class Buttons(qt.QWidget): sigButtonsSignal = qt.pyqtSignal(object) def __init__(self, parent=None, options=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.buttonGroup = qt.QButtonGroup(self) self.buttonList = [] i = 0 if options is None: optionList = ['SCAN', 'MCA'] else: optionList = options actionList = ['ADD', 'REMOVE', 'REPLACE'] for option in optionList: row = optionList.index(option) for action in actionList: col = actionList.index(action) button = qt.QPushButton(self) button.setText(action + " " + option) self.mainLayout.addWidget(button, row, col) self.buttonGroup.addButton(button) self.buttonList.append(button) self.buttonGroup.buttonClicked[int].connect(self.emitSignal) def emitSignal(self, idx): button = self.buttonGroup.button(idx) ddict={} ddict['event'] = 'buttonClicked' ddict['action'] = safe_str(button.text()) self.sigButtonsSignal.emit(ddict) class QNexusWidget(qt.QWidget): sigAddSelection = qt.pyqtSignal(object) sigRemoveSelection = qt.pyqtSignal(object) sigReplaceSelection = qt.pyqtSignal(object) sigOtherSignals = qt.pyqtSignal(object) def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.data = None self._dataSourceList = [] self._oldCntSelection = None self._cntList = [] self._aliasList = [] self._defaultModel = HDF5Widget.FileModel() self.getInfo = HDF5Info.getInfo self._modelDict = {} self._widgetDict = {} self._lastWidgetId = None self._dir = None self._lastAction = None self.build() def build(self): self.mainLayout = qt.QVBoxLayout(self) self.splitter = qt.QSplitter(self) self.splitter.setOrientation(qt.Qt.Vertical) self.hdf5Widget = HDF5Widget.HDF5Widget(self._defaultModel, self.splitter) self.hdf5Widget.setSelectionMode(qt.QAbstractItemView.ExtendedSelection) self.cntTable = HDF5CounterTable.HDF5CounterTable(self.splitter) self.mainLayout.addWidget(self.splitter) #Enable 3D if ('PyMca.Object3D' in sys.modules) or \ ('Object3D' in sys.modules) or \ ('PyMca5.Object3D' in sys.modules): self.buttons = Buttons(self, options=['SCAN', 'MCA', '2D', '3D']) self.cntTable.set3DEnabled(True) else: self.buttons = Buttons(self, options=['SCAN', 'MCA', '2D']) self.cntTable.set3DEnabled(False) self.mainLayout.addWidget(self.buttons) self.hdf5Widget.sigHDF5WidgetSignal.connect(self.hdf5Slot) self.cntTable.customContextMenuRequested[qt.QPoint].connect(\ self._counterTableCustomMenuSlot) self.buttons.sigButtonsSignal.connect(self.buttonsSlot) # Some convenience functions to customize the table # They could have been included in other class inheriting # this one. self.cntTable.setContextMenuPolicy(qt.Qt.CustomContextMenu) self._cntTableMenu = qt.QMenu(self) self._cntTableMenu.addAction(QString("Load"), self._loadCounterTableConfiguration) self._cntTableMenu.addAction(QString("Merge"), self._mergeCounterTableConfiguration) self._cntTableMenu.addAction(QString("Save"), self._saveCounterTableConfiguration) self._cntTableMenu.addSeparator() self._cntTableMenu.addAction(QString("Delete All"), self._deleteAllCountersFromTable) self._cntTableMenu.addAction(QString("Delete Selected"), self._deleteSelectedCountersFromTable) def _counterTableCustomMenuSlot(self, qpoint): self.getWidgetConfiguration() self._cntTableMenu.exec_(qt.QCursor.pos()) def _getConfigurationFromFile(self, fname): ddict = ConfigDict.ConfigDict() ddict.read(fname) keys = ddict.keys if 'PyMca' in keys(): ddict = ddict['PyMca'] if 'HDF5' not in ddict.keys(): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Information) msg.setText("File does not contain HDF5 configuration") msg.exec_() return None if 'WidgetConfiguration' not in ddict['HDF5'].keys(): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Information) msg.setText("File does not contain HDF5 WidgetConfiguration") msg.exec_() return None ddict =ddict['HDF5']['WidgetConfiguration'] keys = ddict.keys() if ('counters' not in keys) or\ ('aliases' not in keys): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Information) msg.setText("File does not contain HDF5 counters information") msg.exec_() return None if len(ddict['counters']) != len(ddict['aliases']): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Number of counters does not match number of aliases") msg.exec_() return None return ddict def _loadCounterTableConfiguration(self): fname = self.getInputFilename() if not len(fname): return ddict = self._getConfigurationFromFile(fname) if ddict is not None: self.setWidgetConfiguration(ddict) def _mergeCounterTableConfiguration(self): fname = self.getInputFilename() if not len(fname): return ddict = self._getConfigurationFromFile(fname) if ddict is None: return current = self.getWidgetConfiguration() cntList = ddict['counters'] aliasList = ddict['aliases'] for i in range(len(cntList)): cnt = cntList[i] if cnt not in current['counters']: current['counters'].append(cnt) current['aliases'].append(aliasList[i]) self.setWidgetConfiguration(current) def _saveCounterTableConfiguration(self): fname = self.getOutputFilename() if not len(fname): return if not fname.endswith('.ini'): fname += '.ini' ddict = ConfigDict.ConfigDict() if "PyMcaDirs" in sys.modules: ddict['PyMca'] = {} ddict['PyMca']['HDF5'] = {'WidgetConfiguration':\ self.getWidgetConfiguration()} else: ddict['HDF5'] ={'WidgetConfiguration':\ self.getWidgetConfiguration()} ddict.write(fname) def _deleteAllCountersFromTable(self): current = self.cntTable.getCounterSelection() current['x'] = [] current['y'] = [] current['m'] = [] self.cntTable.setCounterSelection(current) self.setWidgetConfiguration(None) def _deleteSelectedCountersFromTable(self): itemList = self.cntTable.selectedItems() rowList = [] for item in itemList: row = item.row() if row not in rowList: rowList.append(row) rowList.sort() rowList.reverse() current = self.cntTable.getCounterSelection() for row in rowList: for key in ['x', 'y', 'm']: if row in current[key]: idx = current[key].index(row) del current[key][idx] ddict = {} ddict['counters'] = [] ddict['aliases'] = [] for i in range(self.cntTable.rowCount()): if i not in rowList: name = safe_str(self.cntTable.item(i, 0).text()) alias = safe_str(self.cntTable.item(i, 4).text()) ddict['counters'].append(name) ddict['aliases'].append(alias) self.setWidgetConfiguration(ddict) self.cntTable.setCounterSelection(current) def getInputFilename(self): if self._dir is None: if "PyMcaDirs" in sys.modules: inidir = PyMcaDirs.inputDir else: inidir = os.getcwd() else: inidir = self._dir if not os.path.exists(inidir): inidir = os.getcwd() ret = safe_str(qt.QFileDialog.getOpenFileName(self, "Select a .ini file", inidir, "*.ini")) if len(ret): self._dir = os.path.dirname(ret) if "PyMcaDirs" in sys.modules: PyMcaDirs.inputDir = os.path.dirname(ret) return ret def getOutputFilename(self): if self._dir is None: if "PyMcaDirs" in sys.modules: inidir = PyMcaDirs.outputDir else: inidir = os.getcwd() else: inidir = self._dir if not os.path.exists(inidir): inidir = os.getcwd() ret = safe_str(qt.QFileDialog.getSaveFileName(self, "Select a .ini file", inidir, "*.ini")) if len(ret): self._dir = os.path.dirname(ret) if "PyMcaDirs" in sys.modules: PyMcaDirs.outputDir = os.path.dirname(ret) return ret def getWidgetConfiguration(self): cntSelection = self.cntTable.getCounterSelection() ddict = {} ddict['counters'] = cntSelection['cntlist'] ddict['aliases'] = cntSelection['aliaslist'] return ddict def setWidgetConfiguration(self, ddict=None): if ddict is None: self._cntList = [] self._aliasList = [] else: self._cntList = ddict['counters'] self._aliasList = ddict['aliases'] if type(self._cntList) == type(""): self._cntList = [ddict['counters']] if type(self._aliasList) == type(""): self._aliasList = [ddict['aliases']] self.cntTable.build(self._cntList, self._aliasList) def setDataSource(self, dataSource): self.data = dataSource if self.data is None: self.hdf5Widget.collapseAll() self.hdf5Widget.setModel(self._defaultModel) return def dataSourceDestroyed(weakrefReference): idx = self._dataSourceList.index(weakrefReference) del self._dataSourceList[idx] del self._modelDict[weakrefReference] return ref = weakref.ref(dataSource, dataSourceDestroyed) if ref not in self._dataSourceList: self._dataSourceList.append(ref) self._modelDict[ref] = HDF5Widget.FileModel() model = self._modelDict[ref] self.hdf5Widget.setModel(model) for source in self.data._sourceObjectList: self.hdf5Widget.model().appendPhynxFile(source, weakreference=True) def setFile(self, filename): self._data = self.hdf5Widget.model().openFile(filename, weakreference=True) def showInfoWidget(self, filename, name, dset=False): self._checkWidgetDict() #this solution seems more robust if 1: useInstance = True else: if h5py.version.version < '2.0': useInstance = True else: useInstance = False if useInstance: fileIndex = self.data.sourceName.index(filename) phynxFile = self.data._sourceObjectList[fileIndex] else: phynxFile = h5py.File(filename, 'r') info = self.getInfo(phynxFile, name) widget = HDF5Info.HDF5InfoWidget() widget.notifyCloseEventToWidget(self) title = os.path.basename(filename) title += " %s" % name widget.setWindowTitle(title) wid = id(widget) if self._lastWidgetId is not None: try: width = self._widgetDict[self._lastWidgetId].width() height = self._widgetDict[self._lastWidgetId].height() widget.resize(max(150, width), max(150, height)) except: pass self._lastWidgetId = wid self._widgetDict[wid] = widget if useInstance: def sourceObjectDestroyed(weakrefReference): if wid == self._lastWidgetId: self._latWidgetId = None if wid in self._widgetDict: del self._widgetDict[wid] widget._sourceObjectWeakReference = weakref.ref(phynxFile, sourceObjectDestroyed) widget.setInfoDict(info) # todo: this first `if` block can be dropped when silx is a hard dependency if dset and Hdf5NodeView is None: dataset = phynxFile[name] if isinstance(dataset, h5py.Dataset): if len(dataset.shape): #0 length datasets do not need a table widget.w = HDF5DatasetTable.HDF5DatasetTable(widget) try: widget.w.setDataset(dataset) except: print("Error filling table") widget.addTab(widget.w, 'DataView') elif Hdf5NodeView is not None: data = phynxFile[name] widget.w = Hdf5NodeView.Hdf5NodeView(widget) widget.w.setData(data) widget.addTab(widget.w, 'DataView') widget.show() return widget def itemRightClickedSlot(self, ddict): _hdf5WidgetDatasetMenu = qt.QMenu(self) self._lastItemDict = ddict if ddict['dtype'].startswith('|S') or ddict['dtype'] == '': # handle a right click on a group or a dataset of string type _hdf5WidgetDatasetMenu.addAction(QString("Show Information"), self._showInfoWidgetSlot) _hdf5WidgetDatasetMenu.exec_(qt.QCursor.pos()) else: #handle a right click on a numeric dataset _hdf5WidgetDatasetMenu.addAction(QString("Add to selection table"), self._addToSelectionTable) if 0: #these two options can be combined into one for the time being _hdf5WidgetDatasetMenu.addAction(QString("Open"), self._openDataset) _hdf5WidgetDatasetMenu.addAction(QString("Show Properties"), self._showDatasetProperties) else: _hdf5WidgetDatasetMenu.addAction(QString("Show Information"), self._showInfoWidgetSlot) _hdf5WidgetDatasetMenu.exec_(qt.QCursor.pos()) self._lastItemDict = None return def _addToSelectionTable(self, ddict=None): if ddict is None: ddict = self._lastItemDict #handle as a double click ddict['event'] = "itemDoubleClicked" self.hdf5Slot(ddict) def _showInfoWidgetSlot(self, ddict=None): if ddict is None: ddict = self._lastItemDict is_numeric_dataset = (not ddict['dtype'].startswith('|S') and not ddict['dtype'].startswith('|U') and not ddict['dtype'].startswith('|O') and not ddict['dtype'] == '') return self.showInfoWidget(ddict['file'], ddict['name'], dset=is_numeric_dataset) def _openDataset(self, ddict=None): if ddict is None: ddict = self._lastItemDict filename = ddict['file'] name = ddict['name'] self._checkWidgetDict() fileIndex = self.data.sourceName.index(filename) phynxFile = self.data._sourceObjectList[fileIndex] dataset = phynxFile[name] if Hdf5NodeView is not None: widget = Hdf5NodeView.Hdf5NodeView() widget.setData(dataset) else: widget = HDF5DatasetTable.HDF5DatasetTable() widget.setDataset(dataset) title = os.path.basename(filename) title += " %s" % name widget.setWindowTitle(title) if self._lastWidgetId is not None: ids = self._widgetDict.keys() if len(ids): if self._lastWidgetId in ids: try: width = self._widgetDict[self._lastWidgetId].width() height = self._widgetDict[self._lastWidgetId].height() widget.resize(max(150, width), max(300, height)) except: pass else: try: width = self._widgetDict[ids[-1]].width() height = self._widgetDict[ids[-1]].height() widget.resize(max(150, width), max(300, height)) except: pass widget.notifyCloseEventToWidget(self) wid = id(widget) self._lastWidgetId = wid self._widgetDict[wid] = widget widget.show() def _showDatasetProperties(self, ddict=None): if ddict is None: ddict = self._lastItemDict filename = ddict['file'] name = ddict['name'] return self.showInfoWidget(filename, name) def hdf5Slot(self, ddict): if ddict['event'] == 'itemClicked': if ddict['mouse'] == "right": return self.itemRightClickedSlot(ddict) if ddict['event'] == "itemDoubleClicked": if ddict['type'] in ['Dataset']: if ddict['dtype'].startswith('|S'): print("string") else: root = ddict['name'].split('/') root = "/" + root[1] if len(ddict['name']) == len(root): cnt = ddict['name'] else: cnt = ddict['name'][len(root):] if cnt not in self._cntList: self._cntList.append(cnt) basename = posixpath.basename(cnt) if basename not in self._aliasList: self._aliasList.append(basename) else: self._aliasList.append(cnt) self.cntTable.build(self._cntList, self._aliasList) elif ddict['type'] in ['NXentry', 'Entry']: if self._lastAction is None: return action, selectionType = self._lastAction.split() if action == 'REMOVE': action = 'ADD' ddict['action'] = "%s %s" % (action, selectionType) self.buttonsSlot(ddict) else: if self.data is not None: name = ddict['name'] filename = ddict['file'] fileIndex = self.data.sourceName.index(filename) phynxFile = self.data._sourceObjectList[fileIndex] dataset = phynxFile[name] if isinstance(dataset, h5py.Dataset): root = ddict['name'].split('/') root = "/" + root[1] cnt = ddict['name'].split(root)[-1] if cnt not in self._cntList: if DEBUG: print("USING SECOND WAY") self._cntList.append(cnt) basename = posixpath.basename(cnt) if basename not in self._aliasList: self._aliasList.append(basename) else: self._aliasList.append(cnt) self.cntTable.build(self._cntList, self._aliasList) return if DEBUG: print("Unhandled item type: %s" % ddict['dtype']) def buttonsSlot(self, ddict, emit=True): if self.data is None: return action, selectionType = ddict['action'].split() entryList = self.getSelectedEntries() if not len(entryList): return cntSelection = self.cntTable.getCounterSelection() self._aliasList = cntSelection['aliaslist'] selectionList = [] for entry, filename in entryList: if not len(cntSelection['cntlist']): continue if not len(cntSelection['y']): #nothing to plot continue for yCnt in cntSelection['y']: sel = {} sel['SourceName'] = self.data.sourceName * 1 sel['SourceType'] = "HDF5" fileIndex = self.data.sourceName.index(filename) phynxFile = self.data._sourceObjectList[fileIndex] entryIndex = list(phynxFile["/"].keys()).index(entry[1:]) sel['Key'] = "%d.%d" % (fileIndex+1, entryIndex+1) sel['legend'] = os.path.basename(sel['SourceName'][0])+\ " " + posixpath.basename(entry) #it was sel['Key'] sel['selection'] = {} sel['selection']['sourcename'] = filename #deal with the case the "entry" is a dataset hunging at root level if isinstance(phynxFile[entry], h5py.Dataset): entry = "/" sel['selection']['entry'] = entry sel['selection']['key'] = "%d.%d" % (fileIndex+1, entryIndex+1) sel['selection']['x'] = cntSelection['x'] sel['selection']['y'] = [yCnt] sel['selection']['m'] = cntSelection['m'] sel['selection']['cntlist'] = cntSelection['cntlist'] sel['selection']['LabelNames'] = cntSelection['aliaslist'] #sel['selection']['aliaslist'] = cntSelection['aliaslist'] sel['selection']['selectiontype'] = selectionType if selectionType.upper() == "SCAN": sel['scanselection'] = True sel['mcaselection'] = False elif selectionType.upper() == "MCA": sel['scanselection'] = False sel['mcaselection'] = True else: sel['scanselection'] = False sel['mcaselection'] = False aliases = cntSelection['aliaslist'] if len(cntSelection['x']) and len(cntSelection['m']): addLegend = " (%s/%s) vs %s" % (aliases[yCnt], aliases[cntSelection['m'][0]], aliases[cntSelection['x'][0]]) elif len(cntSelection['x']): addLegend = " %s vs %s" % (aliases[yCnt], aliases[cntSelection['x'][0]]) elif len(cntSelection['m']): addLegend = " (%s/%s)" % (aliases[yCnt], aliases[cntSelection['m'][0]]) else: addLegend = " %s" % aliases[yCnt] sel['legend'] += addLegend selectionList.append(sel) if not emit: return selectionList self._lastAction = "%s" % ddict['action'] if len(selectionList): if selectionType.upper() in ["SCAN", "MCA"]: ddict = {} ddict['event'] = "SelectionTypeChanged" ddict['SelectionType'] = selectionType.upper() self.sigOtherSignals.emit(ddict) if action.upper() == "ADD": self.sigAddSelection.emit(selectionList) if action.upper() == "REMOVE": self.sigRemoveSelection.emit(selectionList) if action.upper() == "REPLACE": self.sigReplaceSelection.emit(selectionList) def currentSelectionList(self): ddict={} ddict['event'] = 'buttonClicked' ddict['action'] = 'ADD DUMMY' return self.buttonsSlot(ddict, emit=False) def getSelectedEntries(self): return self.hdf5Widget.getSelectedEntries() def closeEvent(self, event): keyList = self._widgetDict.keys() for key in keyList: self._widgetDict[key].close() del self._widgetDict[key] return qt.QWidget.closeEvent(self, event) def _checkWidgetDict(self): keyList = self._widgetDict.keys() for key in keyList: if self._widgetDict[key].isHidden(): del self._widgetDict[key] def customEvent(self, event): if hasattr(event, 'dict'): ddict = event.dict if 'event' in ddict: if ddict['event'] == "closeEventSignal": if ddict['id'] in self._widgetDict: if DEBUG: try: widget = self._widgetDict[ddict['id']] print("DELETING %s" % widget.windowTitle()) except: pass del self._widgetDict[ddict['id']] if __name__ == "__main__": import sys app = qt.QApplication(sys.argv) try: #this is to add the 3D buttons ... from PyMca5 import Object3D except: pass w = QNexusWidget() if 0: w.setFile(sys.argv[1]) else: from PyMca5.PyMcaCore import NexusDataSource dataSource = NexusDataSource.NexusDataSource(sys.argv[1:]) w.setDataSource(dataSource) def addSelection(sel): print(sel) def removeSelection(sel): print(sel) def replaceSelection(sel): print(sel) w.show() w.sigAddSelection.connect(addSelection) w.sigRemoveSelection.connect(removeSelection) w.sigReplaceSelection.connect(replaceSelection) sys.exit(app.exec_()) ��������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/hdf5/Hdf5NodeView.py������������������������������������������������0000644�0002763�0000175�00000027613�13173631403�021547� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ """The :class:`Hdf5NodeView` widget in this module aims to replace :class:`HDF5DatasetTable` in :class:`QNexusWidget` for visualization of HDF5 datasets and groups, with support of NXdata groups as plot. It uses the silx :class:`DataViewerFrame` widget with views modified to handle plugins.""" __author__ = "P. Knobel - ESRF Data Analysis" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import numpy import PyMca5 from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import CloseEventNotifyingWidget from PyMca5.PyMcaGui.PluginsToolButton import PluginsToolButton from silx.gui.data.DataViewerFrame import DataViewerFrame from silx.gui.data import DataViews from silx.gui.plot import Plot1D from silx.gui.data.NumpyAxesSelector import NumpyAxesSelector from silx.gui import icons PLUGINS_DIR = [] if os.path.exists(os.path.join(os.path.dirname(PyMca5.__file__), "PyMcaPlugins")): from PyMca5 import PyMcaPlugins PLUGINS_DIR.append(os.path.dirname(PyMcaPlugins.__file__)) else: directory = os.path.dirname(__file__) while True: if os.path.exists(os.path.join(directory, "PyMcaPlugins")): PLUGINS_DIR.append(os.path.join(directory, "PyMcaPlugins")) break directory = os.path.dirname(directory) if len(directory) < 5: break userPluginsDirectory = PyMca5.getDefaultUserPluginsDirectory() if userPluginsDirectory is not None: PLUGINS_DIR.append(userPluginsDirectory) class Plot1DWithPlugins(Plot1D): """Add a plugin toolbutton to a Plot1D""" def __init__(self, parent=None): Plot1D.__init__(self, parent) self._plotType = "SCAN" # needed by legacy plugins self._toolbar = qt.QToolBar(self) self.addToolBar(self._toolbar) pluginsToolButton = PluginsToolButton(plot=self, parent=self) if PLUGINS_DIR: pluginsToolButton.getPlugins( method="getPlugin1DInstance", directoryList=PLUGINS_DIR) self._toolbar.addWidget(pluginsToolButton) class Plot1DViewWithPlugins(DataViews._Plot1dView): """Overload Plot1DView to use the widget with a :class:`PluginsToolButton`""" def createWidget(self, parent): return Plot1DWithPlugins(parent=parent) class ArrayCurvePlotWithPlugins(qt.QWidget): """Add a plugin toolbutton to an ArrayCurvePlot widget""" def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.__signal = None self.__signal_name = None self.__signal_errors = None self.__axis = None self.__axis_name = None self.__axis_errors = None self.__values = None self.__first_curve_added = False self._plot = Plot1D(self) self._plot.setDefaultColormap( # for scatters {"name": "viridis", "vmin": 0., "vmax": 1., # ignored (autoscale) but mandatory "normalization": "linear", "autoscale": True}) self.selectorDock = qt.QDockWidget("Data selector", self._plot) # not closable self.selectorDock.setFeatures(qt.QDockWidget.DockWidgetMovable | qt.QDockWidget.DockWidgetFloatable) self._selector = NumpyAxesSelector(self.selectorDock) self._selector.setNamedAxesSelectorVisibility(False) self.__selector_is_connected = False self.selectorDock.setWidget(self._selector) self._plot.addTabbedDockWidget(self.selectorDock) layout = qt.QGridLayout() layout.setContentsMargins(0, 0, 0, 0) layout.addWidget(self._plot, 0, 0) self.setLayout(layout) # plugin support self._plot._plotType = "SCAN" # attribute needed by legacy plugins self._toolbar = qt.QToolBar(self) self._plot.addToolBar(self._toolbar) pluginsToolButton = PluginsToolButton(plot=self._plot, parent=self) if PLUGINS_DIR: pluginsToolButton.getPlugins( method="getPlugin1DInstance", directoryList=PLUGINS_DIR) self._toolbar.addWidget(pluginsToolButton) def setCurveData(self, y, x=None, values=None, yerror=None, xerror=None, ylabel=None, xlabel=None, title=None): """ :param y: dataset to be represented by the y (vertical) axis. For a scatter, this must be a 1D array and x and values must be 1-D arrays of the same size. In other cases, it can be a n-D array whose last dimension must have the same length as x (and values must be None) :param x: 1-D dataset used as the curve's x values. If provided, its lengths must be equal to the length of the last dimension of ``y`` (and equal to the length of ``value``, for a scatter plot). :param values: Values, to be provided for a x-y-value scatter plot. This will be used to compute the color map and assign colors to the points. :param yerror: 1-D dataset of errors for y, or None :param xerror: 1-D dataset of errors for x, or None :param ylabel: Label for Y axis :param xlabel: Label for X axis :param title: Graph title """ self.__signal = y self.__signal_name = ylabel or "Y" self.__signal_errors = yerror self.__axis = x self.__axis_name = xlabel self.__axis_errors = xerror self.__values = values if self.__selector_is_connected: self._selector.selectionChanged.disconnect(self._updateCurve) self.__selector_is_connected = False self._selector.setData(y) self._selector.setAxisNames([ylabel or "Y"]) if len(y.shape) < 2: self.selectorDock.hide() else: self.selectorDock.show() self._plot.setGraphTitle(title or "") self._plot.getXAxis().setLabel(self.__axis_name or "X") self._plot.getYAxis().setLabel(self.__signal_name) self._updateCurve() if not self.__selector_is_connected: self._selector.selectionChanged.connect(self._updateCurve) self.__selector_is_connected = True def _updateCurve(self): y = self._selector.selectedData() x = self.__axis if x is None: x = numpy.arange(len(y)) elif numpy.isscalar(x) or len(x) == 1: # constant axis x = x * numpy.ones_like(y) elif len(x) == 2 and len(y) != 2: # linear calibration a + b * x x = x[0] + x[1] * numpy.arange(len(y)) legend = self.__signal_name + "[" for sl in self._selector.selection(): if sl == slice(None): legend += ":, " else: legend += str(sl) + ", " legend = legend[:-2] + "]" if self.__signal_errors is not None: y_errors = self.__signal_errors[self._selector.selection()] else: y_errors = None self._plot.remove(kind=("curve", "scatter")) # values: x-y-v scatter if self.__values is not None: self._plot.addScatter(x, y, self.__values, legend=legend, xerror=self.__axis_errors, yerror=y_errors) else: self._plot.addCurve(x, y, legend=legend, xerror=self.__axis_errors, yerror=y_errors) self._plot.resetZoom() self._plot.getXAxis().setLabel(self.__axis_name) self._plot.getYAxis().setLabel(self.__signal_name) def clear(self): self._plot.clear() class NXdataCurveViewWithPlugins(DataViews._NXdataCurveView): """Use the widget with a :class:`PluginsToolButton`""" def createWidget(self, parent): return ArrayCurvePlotWithPlugins(parent=parent) class NXdataViewWithPlugins(DataViews.CompositeDataView): """Re-implement DataViews._NXdataView to use the 1D view with a plugin toolbutton in the composite view.""" def __init__(self, parent): super(NXdataViewWithPlugins, self).__init__( parent=parent, label="NXdata", icon=icons.getQIcon("view-nexus")) self.addView(DataViews._NXdataScalarView(parent)) self.addView(NXdataCurveViewWithPlugins(parent)) self.addView(DataViews._NXdataXYVScatterView(parent)) self.addView(DataViews._NXdataImageView(parent)) self.addView(DataViews._NXdataStackView(parent)) class DataViewerFrameWithPlugins(DataViewerFrame): """Overloaded DataViewerFrame with the 1D view replaced by Plot1DViewWithPlugins""" def createDefaultViews(self, parent=None): views = list(DataViewerFrame.createDefaultViews(self, parent=parent)) # replace 1d view oldView = [v for v in views if v.modeId() == DataViews.PLOT1D_MODE][0] newView = Plot1DViewWithPlugins(parent=parent) views[views.index(oldView)] = newView # replace NXdataView oldView = [v for v in views if isinstance(v, DataViews._NXdataView)][0] newView = NXdataViewWithPlugins(parent=parent) views[views.index(oldView)] = newView return views class Hdf5NodeView(CloseEventNotifyingWidget.CloseEventNotifyingWidget): """QWidget displaying data as raw values in a table widget, or as a curve, image or stack in a plot widget. It can also display information related to HDF5 groups (attributes, compression, ...) and interpret a NXdata group to plot its data. The plot features depend on *silx*'s availability. """ def __init__(self, parent=None): CloseEventNotifyingWidget.CloseEventNotifyingWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) # # This should be the proper way of changing a single view without # # overloading DataViewerFrame. See silx issue #1183. # self.viewWidget = DataViewerFrame(self) # self.viewWidget.removeView( # self.viewWidget.getViewFromModeId(DataViews.PLOT1D_MODE)) # self.viewWidget.addView(Plot1DViewWithPlugins(self)) self.viewWidget = DataViewerFrameWithPlugins(self) self.mainLayout.addWidget(self.viewWidget) def setData(self, dataset): self.viewWidget.setData(dataset) ���������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/hdf5/__init__.py����������������������������������������������������0000644�0002763�0000175�00000000000�13136054446�021041� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/hdf5/HDF5DatasetTable.py��������������������������������������������0000644�0002763�0000175�00000004464�13136054446�022270� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import CloseEventNotifyingWidget from PyMca5.PyMcaGui import NumpyArrayTableWidget class HDF5DatasetTable(CloseEventNotifyingWidget.CloseEventNotifyingWidget): def __init__(self, parent=None): CloseEventNotifyingWidget.CloseEventNotifyingWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self.arrayTableWidget = NumpyArrayTableWidget.NumpyArrayTableWidget(self) self.mainLayout.addWidget(self.arrayTableWidget) def setDataset(self, dataset): self.arrayTableWidget.setArrayData(dataset) ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/hdf5/HDF5Info.py����������������������������������������������������0000644�0002763�0000175�00000045622�13136054446�020627� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt safe_str = qt.safe_str import copy import posixpath class HDFInfoCustomEvent(qt.QEvent): def __init__(self, ddict): if ddict is None: ddict = {} self.dict = ddict qt.QEvent.__init__(self, qt.QEvent.User) class VerticalSpacer(qt.QWidget): def __init__(self, *args): qt.QWidget.__init__(self, *args) self.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Expanding)) class SimpleInfoGroupBox(qt.QGroupBox): def __init__(self, parent, title=None, keys=None): qt.QGroupBox.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) if title is not None: self.setTitle(title) if keys is None: keys = [] self.keyList = keys self.keyDict = {} if len(self.keyList): self._build() def _build(self): i = 0 for key in self.keyList: label = qt.QLabel(self) label.setText(key) line = qt.QLineEdit(self) line.setReadOnly(True) self.mainLayout.addWidget(label, i, 0) self.mainLayout.addWidget(line, i, 1) self.keyDict[key] = (label, line) i += 1 def setInfoDict(self, ddict): if not len(self.keyList): self.keyList = ddict.keys() self._build() self._fillInfo(ddict) def _fillInfo(self, ddict0): ddict = self._getMappedDict(ddict0) actualKeys = list(ddict.keys()) dictKeys = [] for key in actualKeys: l = key.lower() if l not in dictKeys: dictKeys.append(l) for key in self.keyList: l = key.lower() if l in dictKeys: self._fillKey(key, ddict[actualKeys[dictKeys.index(l)]]) def _getMappedDict(self, ddict): #Default implementation returns a copy of the input dictionnary return copy.deepcopy(ddict) def _fillKey(self, key, value): #This can be overwritten if type(value) == type(""): self.keyDict[key][1].setText(value) else: self.keyDict[key][1].setText(safe_str(value)) class NameGroupBox(SimpleInfoGroupBox): def __init__(self, parent, title=None, keys=[]): SimpleInfoGroupBox.__init__(self, parent, title=title, keys=["Name", "Path", "Type"]) def setInfoDict(self, ddict): key = "Value" if key in ddict.keys(): if key not in self.keyList: self.keyList.append(key) label = qt.QLabel(self) label.setText(key) line = qt.QLineEdit(self) line.setReadOnly(True) i = self.keyList.index(key) self.mainLayout.addWidget(label, i, 0) self.mainLayout.addWidget(line, i, 1) self.keyDict[key] = (label, line) if 'Path' in ddict: if ddict['Path'] == "/": if 'Name' in ddict: self.keyDict['Name'][0].setText("File") SimpleInfoGroupBox.setInfoDict(self, ddict) class DimensionGroupBox(SimpleInfoGroupBox): def __init__(self, parent, title=None, keys=None): keys = ["No. of Dimension(s)", "Dimension Size(s)", "Data Type"] SimpleInfoGroupBox.__init__(self, parent, title=title, keys=keys) def _getMappedDict(self, ddict): return copy.deepcopy(ddict) class MembersGroupBox(qt.QGroupBox): def __init__(self, parent): qt.QGroupBox.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.setTitle("Group Members") self.label = qt.QLabel(self) self.label.setText("Number of members: 0") self.table = qt.QTableWidget(self) #labels = ["Name", "Type", "Shape", "Value"] labels = ["Name", "Value", "Type"] nlabels = len(labels) self.table.setColumnCount(nlabels) rheight = self.table.horizontalHeader().sizeHint().height() self.table.setMinimumHeight(12*rheight) self.table.setMaximumHeight(20*rheight) for i in range(nlabels): item = self.table.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(labels[i], qt.QTableWidgetItem.Type) item.setText(labels[i]) self.table.setHorizontalHeaderItem(i, item) self._tableLabels = labels self.mainLayout.addWidget(self.label) self.mainLayout.addWidget(self.table) def setInfoDict(self, ddict): keylist = ddict.keys() if "members" not in keylist: self.hide() return keylist = ddict['members'] self.label.setText("Number of members: %d" % len(keylist)) nrows = len(keylist) if not nrows: self.table.setRowCount(nrows) self.hide() return self.table.setRowCount(nrows) if ddict['Path'] != '/': #this could distroy ordering ... keylist.sort() row = 0 for key in keylist: item = self.table.item(row, 0) if item is None: item = qt.QTableWidgetItem(key, qt.QTableWidgetItem.Type) item.setFlags(qt.Qt.ItemIsSelectable| qt.Qt.ItemIsEnabled) self.table.setItem(row, 0, item) else: item.setText(key) for label in self._tableLabels[1:]: if not label in ddict[key]: continue col = self._tableLabels.index(label) info = ddict[key][label] item = self.table.item(row, col) if item is None: item = qt.QTableWidgetItem(info, qt.QTableWidgetItem.Type) item.setFlags(qt.Qt.ItemIsSelectable| qt.Qt.ItemIsEnabled) self.table.setItem(row, col, item) else: item.setText(info) row += 1 for i in range(self.table.columnCount()): self.table.resizeColumnToContents(i) class HDF5GeneralInfoWidget(qt.QWidget): def __init__(self, parent=None, ddict=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.nameWidget = NameGroupBox(self) self.membersWidget = MembersGroupBox(self) self.dimensionWidget = DimensionGroupBox(self) self.mainLayout.addWidget(self.nameWidget) self.mainLayout.addWidget(self.membersWidget) self.mainLayout.addWidget(VerticalSpacer(self)) self.mainLayout.addWidget(self.dimensionWidget) self._notifyCloseEventToWidget = None if ddict is not None: self.setInfoDict(ddict) def setInfoDict(self, ddict): if 'general' in ddict: self._setInfoDict(ddict['general']) else: self._setInfoDict(ddict) def _setInfoDict(self, ddict): self.nameWidget.setInfoDict(ddict) self.membersWidget.setInfoDict(ddict) self.dimensionWidget.setInfoDict(ddict) if 'members' in ddict: if len(ddict['members']): #it is a datagroup self.dimensionWidget.hide() self.dimensionWidget.hide() class HDF5AttributesInfoWidget(qt.QWidget): def __init__(self, parent): qt.QGroupBox.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.label = qt.QLabel(self) self.label.setText("Number of members: 0") self.table = qt.QTableWidget(self) labels = ["Name", "Value", "Type", "Size"] self.table.setColumnCount(len(labels)) for i in range(len(labels)): item = self.table.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(labels[i], qt.QTableWidgetItem.Type) item.setText(labels[i]) self.table.setHorizontalHeaderItem(i, item) self._tableLabels = labels self.mainLayout.addWidget(self.label) self.mainLayout.addWidget(self.table) def setInfoDict(self, ddict): if 'attributes' in ddict: self._setInfoDict(ddict['attributes']) else: self._setInfoDict(ddict) def _setInfoDict(self, ddict): keylist = ddict['names'] self.label.setText("Number of attributes: %d" % len(keylist)) nrows = len(keylist) if not nrows: self.table.setRowCount(nrows) self.hide() return self.table.setRowCount(nrows) keylist.sort() row = 0 for key in keylist: for label in self._tableLabels: if not label in ddict[key]: continue else: text = ddict[key][label] col = self._tableLabels.index(label) item = self.table.item(row, col) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) item.setFlags(qt.Qt.ItemIsSelectable| qt.Qt.ItemIsEnabled) self.table.setItem(row, col, item) else: item.setText(text) row += 1 #for i in range(self.table.columnCount()): self.table.resizeColumnToContents(1) self.table.resizeColumnToContents(3) class HDF5InfoWidget(qt.QTabWidget): def __init__(self, parent=None, info=None): qt.QTabWidget.__init__(self, parent) self._notifyCloseEventToWidget = [] self._build() if info is not None: self.setInfoDict(info) def sizeHint(self): return qt.QSize(2 * qt.QTabWidget.sizeHint(self).width(), qt.QTabWidget.sizeHint(self).height()) def _build(self): self.generalInfoWidget = HDF5GeneralInfoWidget(self) self.attributesInfoWidget = HDF5AttributesInfoWidget(self) self.addTab(self.generalInfoWidget, 'General') self.addTab(self.attributesInfoWidget, 'Attributes') def setInfoDict(self, ddict): self.generalInfoWidget.setInfoDict(ddict) self.attributesInfoWidget.setInfoDict(ddict) def notifyCloseEventToWidget(self, widget): if widget not in self._notifyCloseEventToWidget: self._notifyCloseEventToWidget.append(widget) def closeEvent(self, event): if len(self._notifyCloseEventToWidget): for widget in self._notifyCloseEventToWidget: ddict={} ddict['event'] = 'closeEventSignal' ddict['id'] = id(self) newEvent = HDFInfoCustomEvent(ddict) try: qt.QApplication.postEvent(widget, newEvent) except: print("Error notifying close event to widget", widget) self._notifyCloseEventToWidget = [] return qt.QWidget.closeEvent(self, event) def getInfo(hdf5File, node): """ hdf5File is and HDF5 file-like insance node is the posix path to the node """ data = hdf5File[node] ddict = {} ddict['general'] = {} ddict['attributes'] = {} externalFile = False if hasattr(hdf5File, "file"): if hasattr(hdf5File.file, "filename"): if data.file.filename != hdf5File.file.filename: externalFile = True if externalFile: path = node if path != "/": name = posixpath.basename(node) else: name = hdf5File.file.filename if data.name != node: path += " external link to %s" % data.name path += " in %s" % safe_str(data.file.filename) name += " external link to %s" % data.name name += " in %s" % safe_str(data.file.filename) else: name = data.name ddict['general']['Path'] = path ddict['general']['Name'] = name else: ddict['general']['Path'] = data.name if ddict['general']['Path'] != "/": ddict['general']['Name'] = posixpath.basename(data.name) else: ddict['general']['Name'] = data.file.filename ddict['general']['Type'] = safe_str(data) if hasattr(data, 'dtype'): if ("%s" % data.dtype).startswith("|S") or\ ("%s" % data.dtype).startswith("|O"): if hasattr(data, 'shape'): shape = data.shape if not len(shape): ddict['general']['Value'] = "%s" % data.value elif shape[0] == 1: ddict['general']['Value'] = "%s" % data.value[0] else: print("Warning: Node %s not fully understood" % node) ddict['general']['Value'] = "%s" % data.value elif hasattr(data, 'shape'): shape = data.shape if len(shape) == 1: if shape[0] == 1: ddict['general']['Value'] = "%s" % data.value[0] elif len(shape) == 0: ddict['general']['Value'] = "%s" % data.value if hasattr(data, "keys"): ddict['general']['members'] = list(data.keys()) elif hasattr(data, "listnames"): ddict['general']['members'] = list(data.listnames()) else: ddict['general']['members'] = [] for member in list(ddict['general']['members']): ddict['general'][member] = {} ddict['general'][member]['Name'] = safe_str(member) if ddict['general']['Path'] == "/": ddict['general'][member]['Type'] = safe_str(hdf5File[node+"/"+member]) continue memberObject = hdf5File[node][member] if hasattr(memberObject, 'shape'): ddict['general'][member]['Type'] = safe_str(hdf5File[node+"/"+member]) dtype = memberObject.dtype if hasattr(memberObject, 'shape'): shape = memberObject.shape if ("%s" % dtype).startswith("|S") or\ ("%s" % dtype).startswith("|O"): if not len(shape): ddict['general'][member]['Shape'] = "" ddict['general'][member]['Value'] = "%s" % memberObject.value else: ddict['general'][member]['Shape'] = shape[0] ddict['general'][member]['Value'] = "%s" % memberObject.value[0] continue if not len(shape): ddict['general'][member]['Shape'] = "" ddict['general'][member]['Value'] = "%s" % memberObject.value continue ddict['general'][member]['Shape'] = "%d" % shape[0] for i in range(1, len(shape)): ddict['general'][member]['Shape'] += " x %d" % shape[i] if len(shape) == 1: if shape[0] == 1: ddict['general'][member]['Value'] = "%s" % memberObject.value[0] else: ddict['general'][member]['Value'] = "%s, ..., %s" % (memberObject.value[0], memberObject.value[-1]) elif len(shape) == 2: ddict['general'][member]['Value'] = "%s, ..., %s" % (memberObject.value[0], memberObject.value[-1]) else: pass else: ddict['general'][member]['Type'] = safe_str(hdf5File[node+"/"+member]) if hasattr(data.attrs, "keys"): ddict['attributes']['names'] = data.attrs.keys() elif hasattr(data.attrs, "listnames"): ddict['attributes']['names'] = data.attrs.listnames() else: ddict['attributes']['names'] = [] if sys.version >= '3.0.0': ddict['attributes']['names'] = list(ddict['attributes']['names']) ddict['attributes']['names'].sort() for key in ddict['attributes']['names']: ddict['attributes'][key] = {} Name = key Value = data.attrs[key] Type = safe_str(type(Value)) if type(Value) == type(""): Size = "%d" % len(Value) elif type(Value) in [type(1), type(0.0)]: Value = safe_str(Value) Size = "1" else: Value = safe_str(Value) Size = "Unknown" ddict['attributes'][key]['Name'] = Name ddict['attributes'][key]['Value'] = Value ddict['attributes'][key]['Type'] = Type ddict['attributes'][key]['Size'] = Size return ddict if __name__ == "__main__": if len(sys.argv) < 3: print("Usage:") print("python HDF5Info.py hdf5File node") sys.exit(0) import h5py h=h5py.File(sys.argv[1], "r") node = sys.argv[2] info = getInfo(h, node) app = qt.QApplication([]) w = HDF5InfoWidget() w.setInfoDict(info) w.show() sys.exit(app.exec_()) ��������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/io/QSourceSelector.py��������������������������������������������������0000644�0002763�0000175�00000026724�13136054446�021563� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() from PyMca5.PyMcaGui import PyMca_Icons as icons from PyMca5.PyMcaIO import spswrap as sps from PyMca5 import PyMcaDirs from PyMca5.PyMcaGui.io import PyMcaFileDialogs DEBUG = 0 class QSourceSelector(qt.QWidget): sigSourceSelectorSignal = qt.pyqtSignal(object) def __init__(self, parent=None, filetypelist=None, pluginsIcon=False): qt.QWidget.__init__(self, parent) self.mainLayout= qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) if filetypelist is None: self.fileTypeList = ["Spec Files (*mca)", "Spec Files (*dat)", "Spec Files (*spec)", "SPE Files (*SPE)", "EDF Files (*edf)", "EDF Files (*ccd)", "CSV Files (*csv)", "All Files (*)"] else: self.fileTypeList = filetypelist self.lastFileFilter = self.fileTypeList[0] # --- file combo/open/close self.lastInputDir = PyMcaDirs.inputDir self.fileWidget= qt.QWidget(self) fileWidgetLayout= qt.QHBoxLayout(self.fileWidget) fileWidgetLayout.setContentsMargins(0, 0, 0, 0) fileWidgetLayout.setSpacing(0) self.fileCombo = qt.QComboBox(self.fileWidget) self.fileCombo.setEditable(0) self.mapCombo= {} openButton= qt.QToolButton(self.fileWidget) self.openIcon = qt.QIcon(qt.QPixmap(icons.fileopen)) self.closeIcon = qt.QIcon(qt.QPixmap(icons.fileclose)) self.reloadIcon = qt.QIcon(qt.QPixmap(icons.reload_)) self.specIcon = qt.QIcon(qt.QPixmap(icons.spec)) openButton.setIcon(self.openIcon) openButton.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Minimum)) openButton.setToolTip("Open new file data source") closeButton= qt.QToolButton(self.fileWidget) closeButton.setIcon(self.closeIcon) closeButton.setToolTip("Close current data source") refreshButton= qt.QToolButton(self.fileWidget) refreshButton.setIcon(self.reloadIcon) refreshButton.setToolTip("Refresh data source") specButton= qt.QToolButton(self.fileWidget) specButton.setIcon(self.specIcon) specButton.setToolTip("Open new shared memory source") closeButton.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Minimum)) specButton.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Minimum)) refreshButton.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Minimum)) openButton.clicked.connect(self._openFileSlot) closeButton.clicked.connect(self.closeFile) refreshButton.clicked.connect(self._reload) specButton.clicked.connect(self.openSpec) self.fileCombo.activated[str].connect(self._fileSelection) fileWidgetLayout.addWidget(self.fileCombo) fileWidgetLayout.addWidget(openButton) fileWidgetLayout.addWidget(closeButton) fileWidgetLayout.addWidget(specButton) if sys.platform == "win32":specButton.hide() fileWidgetLayout.addWidget(refreshButton) self.specButton = specButton if pluginsIcon: self.pluginsButton = qt.QToolButton(self.fileWidget) self.pluginsButton.setIcon(qt.QIcon(qt.QPixmap(icons.plugin))) self.pluginsButton.setToolTip("Plugin handling") fileWidgetLayout.addWidget(self.pluginsButton) self.mainLayout.addWidget(self.fileWidget) def _reload(self): if DEBUG: print("_reload called") qstring = self.fileCombo.currentText() if not len(qstring): return key = qt.safe_str(qstring) ddict = {} ddict["event"] = "SourceReloaded" ddict["combokey"] = key ddict["sourcelist"] = self.mapCombo[key] * 1 self.sigSourceSelectorSignal.emit(ddict) def _openFileSlot(self): self.openFile(None, None) def openSource(self, sourcename, specsession=None): if specsession is None: if sourcename in sps.getspeclist(): specsession=True else: specsession=False self.openFile(sourcename, specsession=specsession) def openFile(self, filename=None, justloaded=None, specsession = False): if DEBUG: print("openfile = ",filename) staticDialog = False if not specsession: if justloaded is None: justloaded = True if filename is None: if self.lastInputDir is not None: if not os.path.exists(self.lastInputDir): self.lastInputDir = None wdir = self.lastInputDir filelist, fileFilter = PyMcaFileDialogs.getFileList(self, filetypelist=self.fileTypeList, message="Open a new source file", currentdir=wdir, mode="OPEN", getfilter=True, single=False, currentfilter=self.lastFileFilter) if not len(filelist): return if not len(filelist[0]): return filename=[] for f in filelist: filename.append(qt.safe_str(f)) if not len(filename): return if len(filename): self.lastInputDir = os.path.dirname(filename[0]) PyMcaDirs.inputDir = os.path.dirname(filename[0]) self.lastFileFilter = fileFilter justloaded = True if justloaded: if type(filename) != type([]): filename = [filename] if not os.path.exists(filename[0]): if '%' not in filename[0]: raise IOError("File %s does not exist" % filename[0]) #check if it is a stack if len(filename) > 1: key = "STACK from %s to %s" % (filename[0], filename[-1]) else: key = os.path.basename(filename[0]) else: key = filename if key not in sps.getspeclist(): qt.QMessageBox.critical(self, "SPS Error", "No shared memory source named %s" % key) return ddict = {} ddict["event"] = "NewSourceSelected" if key in self.mapCombo.keys(): if self.mapCombo[key] == filename: #Reloaded event ddict["event"] = "SourceReloaded" else: i = 0 while key in self.mapCombo.keys(): key += "_%d" % i ddict["combokey"] = key ddict["sourcelist"] = filename self.mapCombo[key] = filename if ddict["event"] =="NewSourceSelected": nitems = self.fileCombo.count() self.fileCombo.insertItem(nitems, key) self.fileCombo.setCurrentIndex(nitems) else: if hasattr(qt, "QString"): nitem = self.fileCombo.findText(qt.QString(key)) else: nitem = self.fileCombo.findText(key) self.fileCombo.setCurrentIndex(nitem) self.sigSourceSelectorSignal.emit(ddict) def closeFile(self): if DEBUG: print("closeFile called") #get current combobox key qstring = self.fileCombo.currentText() if not len(qstring): return key = qt.safe_str(qstring) ddict = {} ddict["event"] = "SourceClosed" ddict["combokey"] = key ddict["sourcelist"] = self.mapCombo[key] * 1 if hasattr(qt, "QString"): nitem = self.fileCombo.findText(qt.QString(key)) else: nitem = self.fileCombo.findText(key) self.fileCombo.removeItem(nitem) del self.mapCombo[key] self.sigSourceSelectorSignal.emit(ddict) def openSpec(self): speclist = sps.getspeclist() if not len(speclist): qt.QMessageBox.information(self, "No SPEC Shared Memory Found", "No shared memory source available") return if QTVERSION < '4.0.0': print("should I keep Qt3 version?") return menu = qt.QMenu() for spec in speclist: if hasattr(qt, "QString"): menu.addAction(qt.QString(spec), lambda i=spec:self.openFile(i, specsession=True)) else: menu.addAction(spec, lambda i=spec:self.openFile(i, specsession=True)) menu.exec_(self.cursor().pos()) def _fileSelection(self, qstring): if DEBUG: print("file selected ", qstring) key = str(qstring) ddict = {} ddict["event"] = "SourceSelected" ddict["combokey"] = key ddict["sourcelist"] = self.mapCombo[key] self.sigSourceSelectorSignal.emit(ddict) def test(): a = qt.QApplication(sys.argv) #new access from PyMca5.PyMcaGui.pymca import QDataSource w= QSourceSelector() def mySlot(ddict): print(ddict) if ddict["event"] == "NewSourceSelected": d = QDataSource.QDataSource(ddict["sourcelist"][0]) w.specfileWidget.setDataSource(d) w.sigSourceSelectorSignal.connect(mySlot) a.lastWindowClosed.connect(a.quit) w.show() a.exec_() if __name__=="__main__": test() ��������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/PyMcaQt.py�������������������������������������������������������������0000644�0002763�0000175�00000015715�13136054446�017406� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import traceback """ This module simplifies writing code that has to deal with with PySide and PyQt4. """ # force cx_freeze to consider sip among the modules to add # to the binary packages if (('PySide' in sys.modules) or (hasattr(sys, 'argv') and 'PySide' in sys.argv)): # argv might not be defined for embedded python (e.g., in Qt designer) from PySide.QtCore import * from PySide.QtGui import * try: from PySide.QtSvg import * except: pass try: from PySide.QtOpenGL import * except: pass pyqtSignal = Signal #matplotlib has difficulties to identify PySide try: import matplotlib matplotlib.rcParams['backend.qt4']='PySide' except: pass elif "PyQt5" in sys.modules: try: import sip except: # PyQt5 always uses API 2 pass from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtPrintSupport import * try: from PyQt5.QtOpenGL import * except: pass try: from PyQt5.QtSvg import * except: pass else: if sys.version < "3.0.0": try: import sip sip.setapi("QString", 2) sip.setapi("QVariant", 2) except: print("Cannot set sip API") # Console widget not available try: from PyQt4.QtCore import * from PyQt4.QtGui import * try: from PyQt4.QtOpenGL import * except: pass try: from PyQt4.QtSvg import * except: pass except ImportError: try: # try PySide from PySide.QtCore import * from PySide.QtGui import * try: from PySide.QtSvg import * except: pass try: from PySide.QtOpenGL import * except: pass pyqtSignal = Signal #matplotlib has difficulties to identify PySide try: import matplotlib matplotlib.rcParams['backend.qt4']='PySide' except: pass except ImportError: from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtPrintSupport import * try: from PyQt5.QtOpenGL import * except: pass try: from PyQt5.QtSvg import * except: pass # provide a exception handler but not implement it by default def exceptionHandler(type_, value, trace): print("%s %s %s" % (type_, value, ''.join(traceback.format_tb(trace)))) msg = QMessageBox() msg.setWindowTitle("Unhandled exception") msg.setIcon(QMessageBox.Critical) msg.setInformativeText("%s %s\nPlease report details" % (type_, value)) msg.setDetailedText(("%s " % value) + ''.join(traceback.format_tb(trace))) msg.raise_() msg.exec_() # Overwrite the QFileDialog to make sure that by default it # returns non-native dialogs as it was the traditional behavior of Qt _QFileDialog = QFileDialog class QFileDialog(_QFileDialog): def __init__(self, *args, **kwargs): try: _QFileDialog.__init__(self, *args, **kwargs) except: # not all versions support kwargs _QFileDialog.__init__(self, *args) try: self.setOptions(_QFileDialog.DontUseNativeDialog) except: print("WARNING: Cannot force default QFileDialog behavior") class HorizontalSpacer(QWidget): def __init__(self, *args): QWidget.__init__(self, *args) self.setSizePolicy(QSizePolicy(QSizePolicy.Expanding, QSizePolicy.Fixed)) class VerticalSpacer(QWidget): def __init__(self, *args): QWidget.__init__(self, *args) self.setSizePolicy(QSizePolicy(QSizePolicy.Fixed, QSizePolicy.Expanding)) if sys.version < '3.0': import types # perhaps a better name would be safe unicode? # should this method be a more generic tool to # be found outside PyMcaQt? def safe_str(potentialQString): if type(potentialQString) == types.StringType or\ type(potentialQString) == types.UnicodeType: return potentialQString try: # default, just str x = str(potentialQString) except UnicodeEncodeError: # try user OS file system encoding # expected to be 'mbcs' under windows # and 'utf-8' under MacOS X try: x = unicode(potentialQString, sys.getfilesystemencoding()) return x except: # on any error just keep going pass # reasonable tries are 'utf-8' and 'latin-1' # should I really go beyond those? # In fact, 'utf-8' is the default file encoding for python 3 encodingOptions = ['utf-8', 'latin-1', 'utf-16', 'utf-32'] for encodingOption in encodingOptions: try: x = unicode(potentialQString, encodingOption) break except UnicodeDecodeError: if encodingOption == encodingOptions[-1]: raise return x else: safe_str = str ���������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/__init__.py������������������������������������������������������������0000644�0002763�0000175�00000004474�13136054446�017627� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import glob def getPackages(directory): packages = [] fileList = glob.glob(os.path.join(directory, "*", "__init__.py")) for fileName in fileList: dirName = os.path.dirname(fileName) packages.append(dirName) packages += getPackages(dirName) return packages from .plotting import PyMca_Icons, PyMcaPrintPreview from .plotting.PyMca_Icons import IconDict # this is the package level directory PyMcaGui baseDirectory = os.path.dirname(__file__) __path__ += [baseDirectory] for directory in ["io", "math", "misc", "physics", "plotting", "pymca"]: tmpDir = os.path.join(baseDirectory, directory) if os.path.exists(os.path.join(tmpDir, "__init__.py")): __path__ += [tmpDir] __path__ += getPackages(tmpDir) ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/���������������������������������������������������������������0000755�0002763�0000175�00000000000�13205526235�017164� 5����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/__init__.py����������������������������������������������������0000644�0002763�0000175�00000003320�13136054446�021276� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os __path__ += [os.path.join(os.path.dirname(__file__), "xas")] __path__ += [os.path.join(os.path.dirname(__file__), "xrf")] ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/�����������������������������������������������������������0000755�0002763�0000175�00000000000�13205526235�017763� 5����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/FitParam.py������������������������������������������������0000644�0002763�0000175�00000165331�13136054446�022054� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "E. Papillon & V. Armando Sole - ESRF Software Group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import traceback from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() from PyMca5.PyMcaIO import ConfigDict from PyMca5.PyMcaGui import PyMca_Icons as Icons import os.path import copy from PyMca5.PyMcaPhysics import Elements from .FitParamForm import FitParamForm from .FitPeakSelect import FitPeakSelect from . import AttenuatorsTable from . import ConcentrationsWidget from . import EnergyTable from PyMca5.PyMcaCore import PyMcaDirs from PyMca5.PyMcaGui import PyMcaFileDialogs XRFMC_FLAG = False try: from . import XRFMCPyMca XRFMC_FLAG = True except ImportError: print("XRFMC_TO_BE_IMPORTED") # no XRFMC support pass from PyMca5.PyMcaGui.math import StripBackgroundWidget from PyMca5.PyMcaGui import PlotWindow from PyMca5.PyMcaGui.physics.xrf import StrategyHandler import numpy DEBUG = 0 FitParamSections= ["fit", "detector", "peaks", "peakshape", "attenuators","concentrations"] FitParamHeaders= ["FIT", "DETECTOR","BEAM","PEAKS", "PEAK SHAPE", "ATTENUATORS","MATRIX","CONCENTRATIONS"] class FitParamWidget(FitParamForm): attenuators= ["Filter 0", "Filter 1", "Filter 2", "Filter 3", "Filter 4", "Filter 5", "Filter 6","Filter 7","BeamFilter0", "BeamFilter1","Detector", "Matrix"] def __init__(self, parent=None): FitParamForm.__init__(self, parent) self._channels = None self._counts = None self._stripDialog = None self._strategyDialog = None self._info = None self.setWindowIcon(qt.QIcon(qt.QPixmap(Icons.IconDict["gioconda16"]))) self.tabAtt = qt.QWidget() tabAttLayout = qt.QGridLayout(self.tabAtt) tabAttLayout.setContentsMargins(11, 11, 11, 11) tabAttLayout.setSpacing(6) self.graphDialog = qt.QDialog(self) self.graphDialog.mainLayout = qt.QVBoxLayout(self.graphDialog) self.graphDialog.mainLayout.setContentsMargins(0, 0, 0, 0) self.graphDialog.mainLayout.setSpacing(0) self.graphDialog.graph = PlotWindow.PlotWindow(self.graphDialog, newplot=False, plugins=False, fit=False) self.graph = self.graphDialog.graph self.graph._togglePointsSignal() self.tabAttenuators = AttenuatorsTable.AttenuatorsTab(self.tabAtt, graph=self.graphDialog) self.graphDialog.mainLayout.addWidget(self.graph) self.graphDialog.okButton = qt.QPushButton(self.graphDialog) self.graphDialog.okButton.setText('OK') self.graphDialog.okButton.setAutoDefault(True) self.graphDialog.mainLayout.addWidget(self.graphDialog.okButton) self.graphDialog.okButton.clicked.connect( \ self.graphDialog.accept) self.attTable = self.tabAttenuators.table #self.multilayerTable =self.tabAttenuators.matrixTable tabAttLayout.addWidget(self.tabAttenuators,0,0) self.mainTab.addTab(self.tabAtt, str("ATTENUATORS")) maxheight = qt.QDesktopWidget().height() #self.graph.hide() self.attPlotButton = qt.QPushButton(self.tabAttenuators) self.attPlotButton.setAutoDefault(False) text = 'Plot T(filters) * (1 - T(detector)) Efficienty Term' self.attPlotButton.setText(text) self.tabAttenuators.layout().insertWidget(1, self.attPlotButton) self.attPlotButton.clicked.connect(self.__attPlotButtonSlot) if maxheight < 801: self.setMaximumHeight(int(0.8*maxheight)) self.setMinimumHeight(int(0.8*maxheight)) #This was previously into FitParamForm.py: END self.tabMul = qt.QWidget() tabMultilayerLayout = qt.QGridLayout(self.tabMul) tabMultilayerLayout.setContentsMargins(11, 11, 11, 11) tabMultilayerLayout.setSpacing(6) self.tabMultilayer = AttenuatorsTable.MultilayerTab(self.tabMul) self.multilayerTable =self.tabMultilayer.matrixTable tabMultilayerLayout.addWidget(self.tabMultilayer,0,0) self.mainTab.addTab(self.tabMul, str("MATRIX")) self.matrixGeometry = self.tabMultilayer.matrixGeometry #The concentrations self.tabConcentrations = qt.QWidget() tabConcentrationsLayout = qt.QGridLayout(self.tabConcentrations) tabConcentrationsLayout.setContentsMargins(11, 11, 11, 11) tabConcentrationsLayout.setSpacing(6) self.concentrationsWidget = ConcentrationsWidget.ConcentrationsWidget(self.tabConcentrations,"tabConcentrations") tabConcentrationsLayout.addWidget(self.concentrationsWidget,0,0) self.mainTab.addTab(self.tabConcentrations, str("CONCENTRATIONS")) #end concentrations tab #self.matrixGeometry = self.tabAttenuators.matrixGeometry if 0: #The compound fit tab self.tabCompoundFit = qt.QWidget() tabCompoundFitLayout = qt.QGridLayout(self.tabCompoundFit) tabCompoundFitLayout.setContentsMargins(11, 11, 11, 11) tabCompoundFitLayout.setSpacing(6) self.compoundFitWidget = AttenuatorsTable.CompoundFittingTab(self.tabCompoundFit, "tabCompound_fit") tabCompoundFitLayout.addWidget(self.compoundFitWidget,0,0) self.mainTab.addTab(self.tabCompoundFit, str("COMPOUND FIT")) #end compound fit tab if XRFMC_FLAG: self.tabXRFMC = qt.QWidget() tabXRFMCLayout = qt.QGridLayout(self.tabXRFMC) tabXRFMCLayout.setContentsMargins(11, 11, 11, 11) tabXRFMCLayout.setSpacing(6) self.tabXRFMCWidget = XRFMCPyMca.XRFMCTabWidget(\ self.tabXRFMC) tabXRFMCLayout.addWidget(self.tabXRFMCWidget,0,0) self.mainTab.addTab(self.tabXRFMC, str("XRFMC")) self.layout().setContentsMargins(0, 0, 0, 0) if "PyQt4" in sys.modules: #I had to add this line to prevent a crash. Why? qApp = qt.QApplication.instance() qApp.processEvents() else: qt.QApplication.instance().processEvents() self.attTable.verticalHeader().hide() #The beam energies tab beamlayout= qt.QGridLayout(self.TabBeam) self.energyTab = EnergyTable.EnergyTab(self.TabBeam) beamlayout.addWidget(self.energyTab, 0, 0) self.energyTable = self.energyTab.table #the x-ray tube (if any) self.xRayTube = self.energyTab.tube #The peak select tab layout= qt.QGridLayout(self.TabPeaks) if 0: self.peakTable= FitPeakSelect(self.TabPeaks) layout.addWidget(self.peakTable, 0, 0) self.peakTable.setMaximumSize(self.tabDetector.sizeHint()) else: self.peakTable= FitPeakSelect(self.TabPeaks, energyTable=self.energyTable) self.peakTable.energy.setToolTip("Energy is set in the BEAM tab") maxWidth = int(min(900, 0.8*qt.QDesktopWidget().width())) self.peakTable.setMaximumWidth(maxWidth) layout.addWidget(self.peakTable, 0, 0) #self.peakTable.setMaximumSize(self.tabDetector.sizeHint()) #self.energyTable = self.peakTable.energyTable self._inputParameters = None self.linpolOrder= None self.exppolOrder= None pardict={'attenuators':{'Air' :[0,"Air",0.001204790,1.0], 'Contact' :[0,"Au1",19.370,1.0E-06], 'Deadlayer' :[0,"Si1",2.330,0.0020], 'Window' :[0,"Be1",1.848,0.0100]}, 'concentrations':self.concentrationsWidget.getParameters()} if XRFMC_FLAG: pardict = self.tabXRFMCWidget.getParameters() # TODO: This line makes PySide crash self.setParameters(pardict=pardict) self.prevTabIdx= None self.tabLabel= [] n = self.mainTab.count() for idx in range(n): self.tabLabel.append(qt.safe_str(self.mainTab.tabText(idx))) self.mainTab.currentChanged[int].connect(self.__tabChanged) self.contCombo.activated[int].connect(self.__contComboActivated) self.functionCombo.activated[int].connect(self.__functionComboActivated) self.orderSpin.valueChanged[int].connect(self.__orderSpinChanged) self._backgroundWindow = None self.stripSetupButton.clicked.connect(self.__stripSetupButtonClicked) # strategy related self.strategyCheckBox.clicked.connect(self._strategyCheckBoxClicked) self.strategySetupButton.clicked.connect(self._strategySetupButtonClicked) self.strategyCombo.activated[int].connect(self._strategyComboActivated) # calibration update handling related self.ignoreSpectrumCalibration.clicked.connect( \ self.__ignoreSpectrumCalibrationClicked) def __ignoreSpectrumCalibrationClicked(self): return self._ignoreSpectrumCalibrationClicked() def _ignoreSpectrumCalibrationClicked(self): if not self.ignoreSpectrumCalibration.isChecked(): # update the values with the received ones (if any) if self._info is not None: calibration = self._info.get('calibration', []) if calibration is not None: if len(calibration) > 1: self.zeroValue.setText("%f" % calibration[0]) self.gainValue.setText("%f" % calibration[1]) def __attPlotButtonSlot(self): try: self.computeEfficiency() except: msg=qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) text = "Error %s" % sys.exc_info()[1] msg.setInformativeText(text) msg.setDetailedText(traceback.format_exc()) msg.exec_() def computeEfficiency(self): pars = self.__getAttPar() attenuators = [] funnyfilters = [] detector = [] for key in pars.keys(): if pars[key][0]: l = key.lower() if l.startswith('matrix') or l.startswith('beamfilter'): continue if l.startswith('detector'): detector.append(pars[key][1:]) else: if abs(pars[key][4] - 1.0) > 1.0e-10: funnyfilters.append(pars[key][1:]) else: attenuators.append(pars[key][1:]) maxenergy = qt.safe_str(self.peakTable.energy.text()) if maxenergy=='None': maxenergy = 100. energies = numpy.arange(1, maxenergy, 0.1) else: maxenergy = float(maxenergy) if maxenergy < 50: energies = numpy.arange(1, maxenergy, 0.01) elif maxenergy > 100: energies = numpy.arange(1, maxenergy, 0.1) else: energies = numpy.arange(1, maxenergy, 0.02) efficiency = numpy.ones(len(energies), numpy.float) if (len(attenuators)+len(detector)+len(funnyfilters)) != 0: massatt = Elements.getMaterialMassAttenuationCoefficients if len(attenuators): coeffs = numpy.zeros(len(energies), numpy.float) for attenuator in attenuators: formula = attenuator[0] thickness = attenuator[1] * attenuator[2] coeffs += thickness *\ numpy.array(massatt(formula,1.0,energies)['total']) efficiency *= numpy.exp(-coeffs) if len(funnyfilters): coeffs = numpy.zeros(len(energies), numpy.float) funnyfactor = None for attenuator in funnyfilters: formula = attenuator[0] thickness = attenuator[1] * attenuator[2] if funnyfactor is None: funnyfactor = attenuator[3] else: if abs(attenuator[3]-funnyfactor) > 0.0001: raise ValueError("All funny type filters must have same openning fraction") coeffs += thickness *\ numpy.array(massatt(formula,1.0,energies)['total']) efficiency *= (funnyfactor * numpy.exp(-coeffs)+\ (1.0 - funnyfactor)) if len(detector): detector = detector[0] formula = detector[0] thickness = detector[1] * detector[2] coeffs = thickness *\ numpy.array(massatt(formula,1.0,energies)['total']) efficiency *= (1.0 - numpy.exp(-coeffs)) self.graph.setGraphTitle('Filter (not beam filter) and detector correction') self.graph.addCurve(energies, efficiency, legend='Ta * (1.0 - Td)', xlabel='Energy (keV)', ylabel='Efficiency Term', replace=True) self.graphDialog.exec_() def __contComboActivated(self, idx): if idx==4: self.orderSpin.setEnabled(1) self.orderSpin.setValue(self.linpolOrder or 1) elif idx==5: self.orderSpin.setEnabled(1) self.orderSpin.setValue(self.exppolOrder or 1) else: self.orderSpin.setEnabled(0) def __functionComboActivated(self, idx): if idx==0: #hypermet flag = 1 pass else: #hypermet flag = 0 pass def __orderSpinChanged(self, value): continuum= int(self.contCombo.currentIndex()) if continuum==4: self.linpolOrder= self.orderSpin.value() elif continuum==5: self.exppolOrder= self.orderSpin.value() def setData(self, x, y, info=None): self._channels = x self._counts = y self._info = info autoTime = info.get("time", None) self.concentrationsWidget.setTimeFactor(autoTime, signal=False) def _strategyCheckBoxClicked(self, *var): if self.strategyCheckBox.isChecked(): maxEnergy = qt.safe_str(self.peakTable.energy.text()) if maxEnergy == 'None': self.strategyCheckBox.setChecked(False) msg=qt.QMessageBox(self) msg.setWindowTitle("Strategy Error") msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error configuring strategy") msg.setInformativeText("You need to specify incident beam energy") msg.exec_() #print("TO check for matrix composition") #print("TO check for peaks") def _strategySetupButtonClicked(self): maxEnergy = qt.safe_str(self.peakTable.energy.text()) if maxEnergy == 'None': self.strategyCheckBox.setChecked(False) msg=qt.QMessageBox(self) msg.setWindowTitle("Strategy Error") msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error configuring strategy") msg.setInformativeText("You need to specify incident beam energy") msg.exec_() return if self._strategyDialog is None: self._strategyDialog = StrategyHandler.StrategyHandlerDialog(self.parent()) self._strategyDialog.setWindowIcon(qt.QIcon(\ qt.QPixmap(Icons.IconDict["gioconda16"]))) if self.height() < 801: self._strategyDialog.setMinimumHeight(int(0.85*self.height())) self._strategyDialog.setMaximumHeight(int(0.85*self.height())) before = self.getParameters() try: self._strategyDialog.setFitConfiguration(before) except: msg=qt.QMessageBox(self) msg.setWindowTitle("Strategy Error: %s" % \ qt.safe_str(sys.exc_info()[1])) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error configuring strategy") msg.setInformativeText(qt.safe_str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() return self._strategyDialog.raise_() ret = self._strategyDialog.exec_() if ret != qt.QDialog.Accepted: self._strategyDialog.setFitConfiguration(before) def _strategyComboActivated(self, intValue): # only one strategy implemented untill now pass def __stripSetupButtonClicked(self): if self._counts is None: msg=qt.QMessageBox(self) msg.setWindowTitle("No data supplied") msg.setIcon(qt.QMessageBox.Information) msg.setText("Please enter the values in the fields") msg.exec_() return pars = self.__getFitPar() y = numpy.ravel(numpy.array(self._counts)).astype(numpy.float) x = numpy.ravel(numpy.array(self._channels)) if self._stripDialog is None: self._stripDialog = StripBackgroundWidget.StripBackgroundDialog(self) self._stripDialog.setWindowIcon(qt.QIcon(\ qt.QPixmap(Icons.IconDict["gioconda16"]))) if self.height() < 801: self._stripDialog.setMinimumHeight(int(0.85*self.height())) self._stripDialog.setMaximumHeight(int(0.85*self.height())) self._stripDialog.setParameters(pars) self._stripDialog.setData(x, y) ret = self._stripDialog.exec_() if not ret: return pars = self._stripDialog.getParameters() key = "stripalgorithm" if key in pars: stripAlgorithm = int(pars[key]) self.setSNIP(stripAlgorithm) key = "snipwidth" if key in pars: self.snipWidthSpin.setValue(int(pars[key])) key = "stripwidth" if key in pars: self.stripWidthSpin.setValue(int(pars[key])) key = "stripiterations" if key in pars: self.stripIterValue.setText("%d" % int(pars[key])) key = "stripfilterwidth" if key in pars: self.stripFilterSpin.setValue(int(pars[key])) key = "stripanchorsflag" if key in pars: self.stripAnchorsFlagCheck.setChecked(int(pars[key])) key = "stripanchorslist" if key in pars: anchorslist = pars[key] if anchorslist in [None, 'None']: anchorslist = [] for spin in self.stripAnchorsList: spin.setValue(0) i = 0 for value in anchorslist: self.stripAnchorsList[i].setValue(int(value)) i += 1 def __tabChanged(self, idx): if self.prevTabIdx is None: self.prevTabIdx= idx if idx != self.prevTabIdx: if self.__tabCheck(self.prevTabIdx): self.prevTabIdx= idx def __tabCheck(self, tabIdx): label= self.tabLabel[tabIdx] if self.__getPar(label) is None: return 0 return 1 def __get(self, section, key, default=0., conv=str): sect = self._inputParameters.get(section, None) if sect is None: ret = default else: ret = sect.get(key, default) if (conv is not None) and (ret is not None) and (ret != "None"): return conv(ret) else: return ret def __setInput(self, ndict): if self._inputParameters is None: self._inputParameters = {} self._inputParameters.update(ndict) def setParameters(self, pardict=None): if pardict is None: pardict={} self.__setInput(pardict) self.__setFitPar() self.__setPeaksPar() self.__setAttPar(pardict) self.__setMultilayerPar(pardict) self.__setConPar(pardict) self.__setDetPar() self.__setPeakShapePar() if "tube" in pardict: self.xRayTube.setParameters(pardict["tube"]) if "xrfmc" in pardict: if XRFMC_FLAG: self.tabXRFMCWidget.setParameters(pardict) def getParameters(self): pars = copy.deepcopy(self._inputParameters) sections = FitParamSections * 1 sections.append('multilayer') sections.append('materials') sections.append('tube') if XRFMC_FLAG: sections.append('xrfmc') for key in sections: pars[key]= self.__getPar(key) if self._strategyDialog is not None: pars.update(self._strategyDialog.getParameters()) return pars def __getPar(self, parname): if parname in ["fit", "FIT"]: return self.__getFitPar() if parname in ["detector", "DETECTOR"]: return self.__getDetPar() if parname in ["peaks", "PEAKS"]: return self.__getPeaksPar() if parname in ["peakshape", "PEAK SHAPE"]: return self.__getPeakShapePar() if parname in ["attenuators", "ATTENUATORS"]: return self.__getAttPar() if parname in ["multilayer", "MULTILAYER"]: return self.__getMultilayerPar() if parname in ["materials", "MATERIALS"]: return self.__getMaterialsPar() if parname in ["tube", "TUBE"]: return self.__getTubePar() if parname in ["concentrations", "CONCENTRATIONS"]: return self.__getConPar() if parname in ["xrfmc", "XRFMC"]: if XRFMC_FLAG: return self.tabXRFMCWidget.getParameters()["xrfmc"] return None def __setAttPar(self, pardict): if "attenuators" in pardict.keys(): attenuatorsList = list(pardict['attenuators'].keys()) else: attenuatorsList = [] if "materials" in pardict.keys(): for key in pardict["materials"]: filteredkey = Elements.getMaterialKey(key) if filteredkey is None: Elements.Material[key] = copy.deepcopy(pardict['materials'][key]) else: Elements.Material[filteredkey] = copy.deepcopy(pardict['materials'][key]) matlist = list(Elements.Material.keys()) matlist.sort() #lastrow = -1 lastrow = -1 for idx in range(len(self.attenuators)): if idx < len(attenuatorsList): att = attenuatorsList[idx] else: att= self.attenuators[idx] if att.upper() == "MATRIX": attpar= self.__get("attenuators", att, [0, "MULTILAYER", 0., 0., 45., 45.], None) row = self.attTable.rowCount() - 1 current={'Material': attpar[1], 'Density': attpar[2], 'Thickness': attpar[3], 'AlphaIn': attpar[4], 'AlphaOut': attpar[5]} if len(attpar) == 8: current['AlphaScatteringFlag'] = attpar[6] current['AlphaScattering'] = attpar[7] else: current['AlphaScatteringFlag'] = 0 self.matrixGeometry.setParameters(current) elif att.upper() == "BEAMFILTER0": attpar= self.__get("attenuators", att, [0, "-", 0., 0.], None) row = self.attTable.rowCount() - 4 elif att.upper() == "BEAMFILTER1": attpar= self.__get("attenuators", att, [0, "-", 0., 0.], None) row = self.attTable.rowCount() - 3 elif att.upper() == "DETECTOR": attpar= self.__get("attenuators", att, [0, "-", 0., 0.], None) row = self.attTable.rowCount() - 2 else: attpar= self.__get("attenuators", att, [0, "-", 0., 0.], None) lastrow += 1 row = lastrow self.attTable.cellWidget(row, 0).setChecked(int(attpar[0])) self.attTable.setText(row, 1, att) #self.attTable.setText(idx, 2, str(attpar[1])) combo = self.attTable.cellWidget(row, 2) if combo is not None: if att.upper() == "MATRIX": combo.setOptions(matlist+["MULTILAYER"]) else: combo.setOptions(matlist) combo.lineEdit().setText(str(attpar[1])) else: print("ERROR in __setAttPar") if len(attpar) == 4: attpar.append(1.0) self.attTable.setText(row, 3, str(attpar[2])) self.attTable.setText(row, 4, str(attpar[3])) if att.upper() not in ["MATRIX", "DETECTOR", "BEAMFILTER1", "BEAMFILTER2"]: self.attTable.setText(row, 5, str(attpar[4])) else: self.attTable.setText(row, 5, "1.0") current = self.tabAttenuators.editor.matCombo.currentText() self.tabAttenuators.editor.matCombo.setOptions(matlist) #force update of all the parameters if current in matlist: self.tabAttenuators.editor.matCombo._mySignal(current) def __getAttPar(self): pars= {} for idx in range(self.attTable.rowCount()): #att= self.attenuators[idx] att = str(self.attTable.text(idx,1)) attpar= [] attpar.append(int(self.attTable.cellWidget(idx,0).isChecked())) attpar.append(str(self.attTable.text(idx,2))) try: attpar.append(float(str(self.attTable.text(idx, 3)))) attpar.append(float(str(self.attTable.text(idx, 4)))) if att.upper() == "MATRIX": attpar.append(self.matrixGeometry.getParameters("AlphaIn")) attpar.append(self.matrixGeometry.getParameters("AlphaOut")) attpar.append(self.matrixGeometry.getParameters("AlphaScatteringFlag")) attpar.append(self.matrixGeometry.getParameters("AlphaScattering")) else: attpar.append(float(str(self.attTable.text(idx, 5)))) except: if att.upper() not in ["MATRIX"]: attpar= [0, '-', 0., 0., 1.0] else: attpar= [0, '-', 0., 0., 45.0, 45.0, 0, 90.0] self.__parError("ATTENUATORS", "Attenuators parameters error on:\n%s\nI reset it to zero." % \ self.attenuators[idx]) pars[att]= attpar return pars def __setMultilayerPar(self, pardict): if "multilayer" in pardict.keys(): attenuatorsList = list(pardict['multilayer'].keys()) else: attenuatorsList = [] matlist = list(Elements.Material.keys()) matlist.sort() #lastrow = -1 lastrow = -1 lastrow=-1 for idx in range(max(self.multilayerTable.rowCount(),len(attenuatorsList))): att= "Layer%d" % idx attpar= self.__get("multilayer", att, [0, "-", 0., 0.], None) lastrow += 1 row = lastrow self.multilayerTable.cellWidget(row, 0).setChecked(int(attpar[0])) self.multilayerTable.setText(row, 1, att) #self.attTable.setText(idx, 2, str(attpar[1])) combo = self.multilayerTable.cellWidget(row, 2) if combo is not None: combo.setOptions(matlist) combo.lineEdit().setText(str(attpar[1])) else: print("ERROR in __setAttPar") self.multilayerTable.setText(row, 3, str(attpar[2])) self.multilayerTable.setText(row, 4, str(attpar[3])) def __getMultilayerPar(self): pars= {} for idx in range(self.multilayerTable.rowCount()): #att= self.attenuators[idx] att = str(self.multilayerTable.text(idx,1)) attpar= [] attpar.append(int(self.multilayerTable.cellWidget(idx,0).isChecked())) attpar.append(str(self.multilayerTable.text(idx,2))) try: #if 1: attpar.append(float(str(self.multilayerTable.text(idx, 3)))) attpar.append(float(str(self.multilayerTable.text(idx, 4)))) #else: except: attpar= [0, '-', 0., 0.] self.__parError("ATTENUATORS", "Multilayer parameters error on:\n%s\nReset it to zero." % att) pars[att]= attpar return pars def __getTubePar(self): pars = self.xRayTube.getParameters() return pars def __getMaterialsPar(self): pars = {} for key in Elements.Material.keys(): pars[key] = copy.deepcopy(Elements.Material[key]) return pars def __setConPar(self, pardict): if 'concentrations' in pardict: self.concentrationsWidget.setParameters(pardict['concentrations']) def __getConPar(self): return self.concentrationsWidget.getParameters() def __setPeakShapePar(self): hypermetflag = (self.__get("fit", "hypermetflag", 1, int)) if hypermetflag: index = 0 else: index = 1 self.functionCombo.setCurrentIndex(index) self.staCheck.setChecked(self.__get("peakshape", "fixedst_arearatio", 0, int)) self.staValue.setText(self.__get("peakshape", "st_arearatio")) self.staError.setText(self.__get("peakshape","deltast_arearatio")) self.stsCheck.setChecked(self.__get("peakshape","fixedst_sloperatio", 0, int)) self.stsValue.setText(self.__get("peakshape","st_sloperatio")) self.stsError.setText(self.__get("peakshape","deltast_sloperatio")) self.ltaCheck.setChecked(self.__get("peakshape","fixedlt_arearatio", 0, int)) self.ltaValue.setText(self.__get("peakshape","lt_arearatio")) self.ltaError.setText(self.__get("peakshape","deltalt_arearatio")) self.ltsCheck.setChecked(self.__get("peakshape","fixedlt_sloperatio", 0, int)) self.ltsValue.setText(self.__get("peakshape","lt_sloperatio")) self.ltsError.setText(self.__get("peakshape","deltalt_sloperatio")) self.shCheck.setChecked(self.__get("peakshape","fixedstep_heightratio", 0, int)) self.shValue.setText(self.__get("peakshape","step_heightratio")) self.shError.setText(self.__get("peakshape","deltastep_heightratio")) self.etaCheck.setChecked(self.__get("peakshape","fixedeta_factor", 0, int)) eta = self.__get("peakshape","eta_factor", 0.2, str) self.etaValue.setText(eta) deltaeta = self.__get("peakshape","deltaeta_factor", 0.2, str) if float(deltaeta) > float(eta): deltaeta = eta self.etaError.setText(deltaeta) def __getPeakShapePar(self): pars= {} try: err= "Short Tail Area Value" pars["st_arearatio"]= float(str(self.staValue.text())) err= "Short Tail Area Error" pars["deltast_arearatio"]= float(str(self.staError.text())) pars["fixedst_arearatio"]= int(self.staCheck.isChecked()) err= "Short Tail Slope Value" pars["st_sloperatio"]= float(str(self.stsValue.text())) err= "Short Tail Slope Error" pars["deltast_sloperatio"]= float(str(self.stsError.text())) pars["fixedst_sloperatio"]= int(self.stsCheck.isChecked()) err= "Long Tail Area Value" pars["lt_arearatio"]= float(str(self.ltaValue.text())) err= "Long Tail Area Error" pars["deltalt_arearatio"]= float(str(self.ltaError.text())) pars["fixedlt_arearatio"]= int(self.ltaCheck.isChecked()) err= "Long Tail Slope Value" pars["lt_sloperatio"]= float(str(self.ltsValue.text())) err= "Long Tail Slope Error" pars["deltalt_sloperatio"]= float(str(self.ltsError.text())) pars["fixedlt_sloperatio"]= int(self.ltsCheck.isChecked()) err= "Step Heigth Value" pars["step_heightratio"]= float(str(self.shValue.text())) err= "Step Heigth Error" pars["deltastep_heightratio"]= float(str(self.shError.text())) pars["fixedstep_heightratio"]= int(self.shCheck.isChecked()) err= "Eta Factor Value" pars["eta_factor"]= float(str(self.etaValue.text())) err= "Step Heigth Error" pars["deltaeta_factor"]= float(str(self.etaError.text())) pars["fixedeta_factor"]= int(self.etaCheck.isChecked()) return pars except: self.__parError("PEAK SHAPE", "Peak Shape Parameter error on:\n%s" % err) return None def __setFitPar(self): #Default 10 eV separation between two peaks only accessible #through file editing for the time being #self.deltaOnePeak = self.__get("fit", "deltaonepeak", 0.010) self.linpolOrder= self.__get("fit", "linpolorder", 1, int) self.exppolOrder= self.__get("fit", "exppolorder", 1, int) continuum= self.__get("fit", "continuum", 0, int) self.contCombo.setCurrentIndex(continuum) self.__contComboActivated(continuum) self.fitWeight = self.__get("fit", "fitweight", 1, int) self.weightCombo.setCurrentIndex(self.fitWeight) stripAlgorithm = self.__get("fit", "stripalgorithm", 0, int) self.setSNIP(stripAlgorithm) self.snipWidthSpin.setValue(self.__get("fit", "snipwidth", 20, int)) self.stripWidthSpin.setValue(self.__get("fit", "stripwidth", 1, int)) self.stripFilterSpin.setValue(self.__get("fit", "stripfilterwidth", 1, int)) self.stripAnchorsFlagCheck.setChecked(self.__get("fit", "stripanchorsflag", 0, int)) anchorslist = self.__get("fit", "stripanchorslist", [0, 0, 0, 0], None) if anchorslist is None:anchorslist = [] for spin in self.stripAnchorsList: spin.setValue(0) i = 0 for value in anchorslist: self.stripAnchorsList[i].setValue(value) i += 1 #self.stripConstValue.setText(self.__get("fit", "stripconstant",1.0)) #self.stripConstValue.setDisabled(1) self.stripIterValue.setText(self.__get("fit", "stripiterations",20000)) self.chi2Value.setText(self.__get("fit", "deltachi")) self.linearFitFlagCheck.setChecked(self.__get("fit", "linearfitflag", 0, int)) self.iterSpin.setValue(self.__get("fit", "maxiter", 5, int)) self.minSpin.setValue(self.__get("fit", "xmin", 0, int)) self.maxSpin.setValue(self.__get("fit", "xmax", 16384, int)) self.regionCheck.setChecked(self.__get("fit", "use_limit", 0, int)) self.stripCheck.setChecked(self.__get("fit", "stripflag", 0, int)) self.escapeCheck.setChecked(self.__get("fit", "escapeflag", 0, int)) self.sumCheck.setChecked(self.__get("fit", "sumflag", 0, int)) self.scatterCheck.setChecked(self.__get("fit", "scatterflag", 0, int)) hypermetflag= self.__get("fit", "hypermetflag", 1, int) shortflag= (hypermetflag >> 1) & 1 longflag= (hypermetflag >> 2) & 1 stepflag= (hypermetflag >> 3) & 1 self.shortCheck.setChecked(shortflag) self.longCheck.setChecked(longflag) self.stepCheck.setChecked(stepflag) energylist = self.__get("fit", "energy", None, None) if type(energylist) != type([]): energy = self.__get("fit", "energy", None, float) energylist = [energy] weightlist = [1.0] flaglist = [1] scatterlist = [1] else: energy = energylist[0] weightlist = self.__get("fit", "energyweight", None, None) flaglist = self.__get("fit", "energyflag", None, None) scatterlist = self.__get("fit", "energyscatter", None, None) self.energyTable.setParameters(energylist, weightlist, flaglist, scatterlist) self.strategyCheckBox.setChecked(self.__get("fit", "strategyflag", 0, int)) def __getFitPar(self): pars= {} #Default 10 eV separation between two peaks accessible through file pars['deltaonepeak'] = self.__get("fit", "deltaonepeak", 0.010, float) err = "__getFitPar" #if 1: # fot the time being is nto necessary to read the combo box and # ask the strategy handler pars["strategy"] = "SingleLayerStrategy" pars["strategyflag"] = int(self.strategyCheckBox.isChecked()) try: pars["fitfunction"]= int(self.functionCombo.currentIndex()) pars["continuum"]= int(self.contCombo.currentIndex()) pars["fitweight"]= int(self.weightCombo.currentIndex()) pars["stripalgorithm"] = int(self.stripCombo.currentIndex()) pars["linpolorder"]= self.linpolOrder or 1 pars["exppolorder"]= self.exppolOrder or 1 #pars["stripconstant"]= float(str(self.stripConstValue.text())) pars["stripconstant"]= 1.0 pars["snipwidth"] = self.snipWidthSpin.value() pars["stripiterations"]= int(str(self.stripIterValue.text())) pars["stripwidth"]= self.stripWidthSpin.value() pars["stripfilterwidth"] = self.stripFilterSpin.value() pars["stripanchorsflag"] = int(self.stripAnchorsFlagCheck.isChecked()) pars["stripanchorslist"] = [] for spin in self.stripAnchorsList: pars["stripanchorslist"].append(spin.value()) pars["maxiter"]= self.iterSpin.value() err= "Minimum Chi2 difference" pars["deltachi"]= float(str(self.chi2Value.text())) pars["xmin"]= self.minSpin.value() pars["xmax"]= self.maxSpin.value() pars["linearfitflag"] = int(self.linearFitFlagCheck.isChecked()) pars["use_limit"]= int(self.regionCheck.isChecked()) pars["stripflag"]= int(self.stripCheck.isChecked()) pars["escapeflag"]= int(self.escapeCheck.isChecked()) pars["sumflag"]= int(self.sumCheck.isChecked()) pars["scatterflag"]= int(self.scatterCheck.isChecked()) shortflag= int(self.shortCheck.isChecked()) longflag= int(self.longCheck.isChecked()) stepflag= int(self.stepCheck.isChecked()) index = pars['fitfunction'] if index == 0: hypermetflag = 1 else: hypermetflag = 0 if hypermetflag: pars["hypermetflag"]= 1 + shortflag*2 + longflag*4 + stepflag*8 else: pars["hypermetflag"]= 0 pars['energy'],pars['energyweight'],pars['energyflag'], pars['energyscatter']= \ self.energyTable.getParameters() return pars #else: except: self.__parError("FIT", "Fit parameter error on:\n%s" % err) return None def __setPeaksPar(self): pars= self._inputParameters.get("peaks", {}) self.peakTable.setSelection(pars) def __getPeaksPar(self): return self.peakTable.getSelection() def __setDetPar(self): elt= self.__get("detector", "detele", "Si") for idx in range(self.elementCombo.count()): if str(self.elementCombo.itemText(idx))==elt: self.elementCombo.setCurrentIndex(idx) break #self.energyValue0.setText(self.__get("detector", "detene")) #self.energyValue1.setText("0.0") #self.intensityValue0.setText(self.__get("detector", "detint", "1.0")) #self.intensityValue1.setText("0.0") self.nEscapeThreshold.setValue(self.__get("detector", "nthreshold",4,int)) self.zeroValue.setText(self.__get("detector", "zero")) self.zeroError.setText(self.__get("detector", "deltazero")) self.zeroCheck.setChecked(self.__get("detector", "fixedzero", 0, int)) self.gainValue.setText(self.__get("detector", "gain")) self.gainError.setText(self.__get("detector", "deltagain")) self.gainCheck.setChecked(self.__get("detector", "fixedgain", 0, int)) self.noiseValue.setText(self.__get("detector", "noise")) self.noiseError.setText(self.__get("detector", "deltanoise")) self.noiseCheck.setChecked(self.__get("detector", "fixednoise", 0, int)) self.fanoValue.setText(self.__get("detector", "fano")) self.fanoError.setText(self.__get("detector", "deltafano")) self.fanoCheck.setChecked(self.__get("detector", "fixedfano", 0, int)) self.sumfacValue.setText(self.__get("detector", "sum")) self.sumfacError.setText(self.__get("detector", "deltasum")) self.sumfacCheck.setChecked(self.__get("detector", "fixedsum", 0, int)) self.ignoreSpectrumCalibration.setChecked( \ self.__get("detector", "ignoreinputcalibration", 0, int)) def __getDetPar(self): pars= {} try: #if 1: err= "Detector Element" pars["detele"]= str(self.elementCombo.currentText()) #err= "First Escape Energy Value" #pars["detene"]= float(str(self.energyValue0.text())) #err= "Second Escape Energy Value" #pars["energy1"]= float(str(self.energyValue1.text())) #err= "First Escape Energy Intensity" #pars["detint"]= float(str(self.intensityValue0.text())) #err= "Second Escape Energy Intensity" #pars["intensity1"]= float(str(self.intensityValue1.text())) err= "Maximum Number of Escape Peaks" pars["nthreshold"] = int(self.nEscapeThreshold.value()) err= "Spectrometer Zero value" pars["zero"]= float(str(self.zeroValue.text())) err= "Spectrometer Zero error" pars["deltazero"]= float(str(self.zeroError.text())) pars["fixedzero"]= int(self.zeroCheck.isChecked()) err= "Spectrometer Gain value" pars["gain"]= float(str(self.gainValue.text())) err= "Spectrometer Gain error" pars["deltagain"]= float(str(self.gainError.text())) pars["fixedgain"]= int(self.gainCheck.isChecked()) err= "Detector Noise value" pars["noise"]= float(str(self.noiseValue.text())) err= "Detector Noise error" pars["deltanoise"]= float(str(self.noiseError.text())) pars["fixednoise"]= int(self.noiseCheck.isChecked()) err= "Fano Factor value" pars["fano"]= float(str(self.fanoValue.text())) err= "Fano Factor error" pars["deltafano"]= float(str(self.fanoError.text())) pars["fixedfano"]= int(self.fanoCheck.isChecked()) err= "Sum Factor value" pars["sum"]= float(str(self.sumfacValue.text())) err= "Sum Factor error" pars["deltasum"]= float(str(self.sumfacError.text())) pars["fixedsum"]= int(self.sumfacCheck.isChecked()) pars["ignoreinputcalibration"] = \ int(self.ignoreSpectrumCalibration.isChecked()) return pars #else: except: self.__parError("DETECTOR", "Detector parameter error on:\n%s"%err) return None def __parError(self, tab, message): idx= self.tabLabel.index(tab) self.prevTabIdx= idx self.mainTab.setCurrentIndex(idx) qt.QMessageBox.critical(self, "ERROR on %s"%tab, message, qt.QMessageBox.Ok, qt.QMessageBox.NoButton, qt.QMessageBox.NoButton) class SectionFileDialog(qt.QFileDialog): def __init__(self, parent=None, name="SectionFileDialog", sections=[], labels=None, mode=None,modal =1, initdir=None): qt.QFileDialog.__init__(self, parent) self.setModal(modal) self.setWindowTitle(name) #layout = qt.QHBoxLayout(self) if hasattr(qt, "QStringList"): strlist = qt.QStringList() else: strlist = [] strlist.append("Config Files *.cfg") strlist.append("All Files *") self.setFilters(strlist) if initdir is not None: if os.path.isdir(initdir): if hasattr(qt, "QString"): self.setDir(qt.QString(initdir)) else: self.setDir(qt.safe_str(initdir)) if DEBUG: print("right to be added") if 0: self.sectionWidget= SectionFileWidget(self, sections=sections, labels=labels) self.layout().addWidget(self.sectionWidget) if mode is not None: self.setFileMode(mode) def getFilename(self): filename= qt.safe_str(self.selectedFiles()[0]) filetype= qt.safe_str(self.selectedFilter()) if filetype.find("Config")==0: fileext= os.path.splitext(filename)[1] if not len(fileext): filename= "%s.cfg"%filename return filename def getSections(self): return self.sectionWidget.getSections() class SectionFileWidget(qt.QWidget): def __init__(self, parent=None, name="FitParamSectionWidget", sections=[], labels=None, fl=0): qt.QWidget.__init__(self, parent) layout= qt.QVBoxLayout(self) self.sections= sections if labels is None: self.labels = [] for label in self.sections: self.labels.append(label.upper()) else: self.labels= labels group= qt.QGroupBox("Read sections", self) group.setAlignment(qt.Qt.Vertical) group.layout = qt.QVBoxLayout(group) layout.addWidget(group) self.allCheck= qt.QCheckBox("ALL", group) group.layout.addWidget(self.allCheck) self.check= {} for (sect, txt) in zip(self.sections, self.labels): self.check[sect]= qt.QCheckBox(txt, group) if QTVERSION > '4.0.0': group.layout.addWidget(self.check[sect]) self.allCheck.setChecked(1) self.__allClicked() self.allCheck.clicked.connect(self.__allClicked) def __allClicked(self): state= self.allCheck.isChecked() for but in self.check.values(): but.setChecked(state) but.setDisabled(state) def getSections(self): if self.allCheck.isChecked(): return None else: sections= [] for sect in self.check.keys(): if self.check[sect].isChecked(): sections.append(sect) return sections class FitParamDialog(qt.QDialog): def __init__(self, parent=None, name="FitParam", modal=1, fl=0, initdir = None, fitresult=None): qt.QDialog.__init__(self, parent) self.setWindowTitle("PyMca - MCA Fit Parameters") self.setWindowIcon(qt.QIcon(qt.QPixmap(Icons.IconDict["gioconda16"]))) self.initDir = initdir layout= qt.QVBoxLayout(self) layout.setContentsMargins(5, 5, 5, 5) layout.setSpacing(5) self.fitparam= FitParamWidget(self) layout.addWidget(self.fitparam) self.setData = self.fitparam.setData #buts= qt.QButtonGroup(4, qt.Qt.Horizontal, self) buts= qt.QGroupBox(self) buts.layout = qt.QHBoxLayout(buts) loadfit = qt.QPushButton(buts) loadfit.setAutoDefault(False) loadfit.setText("Load From Fit") loadfit.setToolTip("Take non linear parameters\nfrom last fit") self.fitresult = fitresult load= qt.QPushButton(buts) load.setAutoDefault(False) load.setText("Load") save= qt.QPushButton(buts) save.setAutoDefault(False) save.setText("Save") reject= qt.QPushButton(buts) reject.setAutoDefault(False) reject.setText("Cancel") accept= qt.QPushButton(buts) accept.setAutoDefault(False) accept.setText("OK") if loadfit is not None: buts.layout.addWidget(loadfit) buts.layout.addWidget(load) buts.layout.addWidget(save) buts.layout.addWidget(reject) buts.layout.addWidget(accept) layout.addWidget(buts) self.loadfit = loadfit if self.fitresult is None: self.loadfit.setEnabled(False) else: self.loadfit.setEnabled(True) maxheight = qt.QDesktopWidget().height() maxwidth = qt.QDesktopWidget().width() self.setMaximumWidth(maxwidth) self.setMaximumHeight(maxheight) self.resize(qt.QSize(min(800, maxwidth), min(int(0.7 * maxheight), 750))) self.loadfit.clicked.connect(self.__loadFromFit) load.clicked.connect(self.load) save.clicked.connect(self.save) reject.clicked.connect(self.reject) accept.clicked.connect(self.accept) def setParameters(self, pars): actualPars = pars if 'fit' not in pars: if 'result' in pars: if 'config' in pars['result']: #we are dealing with a .fit file ... if 'fit' in pars['result']['config']: actualPars = pars['result']['config'] return self.fitparam.setParameters(actualPars) def getParameters(self): return self.fitparam.getParameters() def loadParameters(self, filename, sections=None): cfg= ConfigDict.ConfigDict() if sections is not None: if 'attenuators' in sections: sections.append('materials') sections.append('multilayer') try: #if 1: cfg.read(filename, sections) self.initDir = os.path.dirname(filename) except: #else: #self.initDir = None msg=qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) text = "Error %s" % sys.exc_info()[1] msg.setInformativeText(text) msg.setDetailedText(traceback.format_exc()) msg.exec_() return 0 self.setParameters(copy.deepcopy(cfg)) return 1 def __copyElementsMaterial(self): pars = {} for material in Elements.Material.keys(): pars[material] = {} for key in Elements.Material[material].keys(): pars[material][key] = Elements.Material[material][key] return pars def saveParameters(self, filename, sections=None): pars= self.getParameters() if sections is None: pars['materials'] = self.__copyElementsMaterial() elif 'attenuators' in sections: pars['materials'] = self.__copyElementsMaterial() sections.append('materials') sections.append('multilayer') cfg= ConfigDict.ConfigDict(initdict=pars) if sections is not None: for key in list(cfg.keys()): if key not in sections: del cfg[key] try: cfg.write(filename, sections) self.initDir = os.path.dirname(filename) return 1 except: qt.QMessageBox.critical(self, "Save Parameters", "ERROR while saving parameters to\n%s"%filename, qt.QMessageBox.Ok, qt.QMessageBox.NoButton, qt.QMessageBox.NoButton) #self.initDir = None return 0 def setFitResult(self, result = None): self.fitresult = result if result is None: self.loadfit.setEnabled(False) else: self.loadfit.setEnabled(True) def __loadFromFit(self): """ Fill nonlinear parameters from last fit """ if self.fitresult is None: text = "Sorry. No fit parameters to be loaded.\n" text += "You need to have performed a fit." qt.QMessageBox.critical(self, "No fit data", text, qt.QMessageBox.Ok, qt.QMessageBox.NoButton, qt.QMessageBox.NoButton) return #detector zero = self.fitresult['fittedpar'][self.fitresult['parameters'].index('Zero')] gain = self.fitresult['fittedpar'][self.fitresult['parameters'].index('Gain')] noise= self.fitresult['fittedpar'][self.fitresult['parameters'].index('Noise')] fano = self.fitresult['fittedpar'][self.fitresult['parameters'].index('Fano')] sumf = self.fitresult['fittedpar'][self.fitresult['parameters'].index('Sum')] self.fitparam.zeroValue.setText("%.6g" % zero) self.fitparam.gainValue.setText("%.6g" % gain) self.fitparam.noiseValue.setText("%.6g" % noise) self.fitparam.fanoValue.setText("%.6g" % fano) self.fitparam.sumfacValue.setText("%.6g" % sumf) #peak shape hypermetflag = self.fitresult['config']['fit']['hypermetflag'] fitfunction = self.fitresult['config']['fit'].get('fitfunction', 0) if (fitfunction == 0) and (hypermetflag == 0): fitfunction = 1 if fitfunction == 1: name = 'Eta Factor' if name in self.fitresult['parameters']: value = self.fitresult['fittedpar'] \ [self.fitresult['parameters'].index(name)] self.fitparam.etaValue.setText("%.6g" % value) deltaeta = min(value, float(self.fitparam.etaError.text())) self.fitparam.etaError.setText("%.6g" % deltaeta) elif hypermetflag > 1: # hypermetnames = ['ST AreaR', 'ST SlopeR', # 'LT AreaR', 'LT SlopeR', # 'STEP HeightR'] name = 'ST AreaR' if name in self.fitresult['parameters']: value = self.fitresult['fittedpar'] \ [self.fitresult['parameters'].index(name)] self.fitparam.staValue.setText("%.6g" % value) name = 'ST SlopeR' if name in self.fitresult['parameters']: value = self.fitresult['fittedpar'] \ [self.fitresult['parameters'].index(name)] self.fitparam.stsValue.setText("%.6g" % value) name = 'LT AreaR' if name in self.fitresult['parameters']: value = self.fitresult['fittedpar'] \ [self.fitresult['parameters'].index(name)] self.fitparam.ltaValue.setText("%.6g" % value) name = 'LT SlopeR' if name in self.fitresult['parameters']: value = self.fitresult['fittedpar'] \ [self.fitresult['parameters'].index(name)] self.fitparam.ltsValue.setText("%.6g" % value) name = 'STEP HeightR' if name in self.fitresult['parameters']: value = self.fitresult['fittedpar'] \ [self.fitresult['parameters'].index(name)] self.fitparam.shValue.setText("%.6g" % value) text = "If you do not use an exponential background, " text += "you can now ask the program to perform a linear " text += "fit, save the configuration, and you will be ready " text += "for a speedy batch." qt.QMessageBox.information(self, "Batch tip", text) def load(self): if self.initDir is None: self.initDir = PyMcaDirs.inputDir filename = PyMcaFileDialogs.getFileList(self, filetypelist=["Fit configuration files (*.cfg)", "All Files (*)"], mode="OPEN", message="Choose fit configuration file", currentdir=self.initDir, single=True) if len(filename): filename = qt.safe_str(filename[0]) if len(filename): self.loadParameters(filename, None) self.initDir = os.path.dirname(filename) def save(self): #diag= SectionFileDialog(self, "Save Parameters", FitParamSections, FitParamHeaders, qt.QFileDialog.AnyFile) if self.initDir is None: self.initDir = PyMcaDirs.outputDir filename = PyMcaFileDialogs.getFileList(self, filetypelist=["Fit configuration files (*.cfg)"], mode="SAVE", message="Enter output fit configuration file", currentdir=self.initDir, single=True) if len(filename): filename = qt.safe_str(filename[0]) if len(filename): if not filename.endswith(".cfg"): filename += ".cfg" self.saveParameters(filename, None) self.initDir = os.path.dirname(filename) def openWidget(): app= qt.QApplication(sys.argv) app.lastWindowClosed.connect(app.quit) wid= FitParamWidget() app.setMainWidget(wid) wid.show() app.exec_loop() def openDialog(): app= qt.QApplication(sys.argv) app.lastWindowClosed.connect(app.quit) wid= FitParamDialog(modal=1) ret = wid.exec_() if ret == qt.QDialog.Accepted: npar = wid.getParameters() print(npar) del wid app.quit() if __name__=="__main__": #openWidget() openDialog() �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/McaAdvancedFit.py������������������������������������������0000644�0002763�0000175�00000363171�13136054446�023144� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy import time import copy import tempfile import shutil import traceback from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, "QString"): QString = qt.QString else: QString = qt.safe_str QTVERSION = qt.qVersion() from PyMca5.PyMcaGui import QPyMcaMatplotlibSave1D MATPLOTLIB = True #force understanding of utf-8 encoding #otherways it cannot generate svg output try: import encodings.utf_8 except: #not a big problem pass from PyMca5.PyMcaPhysics.xrf import ClassMcaTheory FISX = ClassMcaTheory.FISX if FISX: FisxHelper = ClassMcaTheory.FisxHelper from . import FitParam from . import McaAdvancedTable from . import QtMcaAdvancedFitReport from . import ConcentrationsWidget from PyMca5.PyMcaPhysics.xrf import ConcentrationsTool from PyMca5.PyMcaGui import PlotWindow from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from . import McaCalWidget from . import PeakIdentifier from PyMca5.PyMcaGui import SubprocessLogWidget from . import ElementsInfo Elements = ElementsInfo.Elements #import McaROIWidget from PyMca5.PyMcaGui import PyMcaPrintPreview from PyMca5.PyMcaCore import PyMcaDirs from PyMca5.PyMcaIO import ConfigDict from PyMca5.PyMcaGui import CalculationThread DEBUG = 0 if DEBUG: print("############################################") print("# McaAdvancedFit is in DEBUG mode %s #" % DEBUG) print("############################################") XRFMC_FLAG = False try: from PyMca5.PyMcaPhysics.xrf.XRFMC import XRFMCHelper XRFMC_FLAG = True except ImportError: print("Cannot import XRFMCHelper module") if DEBUG: raise USE_BOLD_FONT = True class McaAdvancedFit(qt.QWidget): """ This class inherits QWidget. It provides all the functionality required to perform an interactive fit and to generate a configuration file. It is the simplest way to embed PyMca's fitting functionality into other PyQt application. It can be used from the interactive prompt of ipython provided ipython is started with the -q4thread flag. **Usage** >>> from PyMca5 import McaAdvancedFit >>> w = McaAdvancedFit.McaAdvancedFit() >>> w.setData(x=x, y=y) # x is your channel array and y the counts array >>> w.show() """ sigMcaAdvancedFitSignal = qt.pyqtSignal(object) def __init__(self, parent=None, name="PyMca - McaAdvancedFit",fl=0, sections=None, top=True, margin=11, spacing=6): qt.QWidget.__init__(self, parent) self.setWindowTitle(name) self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.lastInputDir = None self.configDialog = None self.matplotlibDialog = None self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(margin, margin, margin, margin) self.mainLayout.setSpacing(0) if sections is None: sections=["TABLE"] self.headerLabel = qt.QLabel(self) self.mainLayout.addWidget(self.headerLabel) self.headerLabel.setAlignment(qt.Qt.AlignHCenter) font = self.font() font.setBold(USE_BOLD_FONT) self.headerLabel.setFont(font) self.setHeader('Fit of XXXXXXXXXX from Channel XXXXX to XXXX') self.top = Top(self) self.mainLayout.addWidget(self.top) self.sthread = None self.elementsInfo = None self.identifier = None self.logWidget = None if False and len(sections) == 1: w = self self.mcatable = McaAdvancedTable.McaTable(w) self.concentrationsWidget = None else: self.mainTab = qt.QTabWidget(self) self.mainLayout.addWidget(self.mainTab) #graph self.tabGraph = qt.QWidget() tabGraphLayout = qt.QVBoxLayout(self.tabGraph) tabGraphLayout.setContentsMargins(margin, margin, margin, margin) tabGraphLayout.setSpacing(spacing) #self.graphToolbar = qt.QHBox(self.tabGraph) self.graphWindow = McaGraphWindow(self.tabGraph) tabGraphLayout.addWidget(self.graphWindow) self.graph = self.graphWindow self.graph.setGraphXLabel('Channel') self.graph.setGraphYLabel('Counts') self.mainTab.addTab(self.tabGraph,"GRAPH") self.graphWindow.sigPlotSignal.connect(self._mcaGraphSignalSlot) #table self.tabMca = qt.QWidget() tabMcaLayout = qt.QVBoxLayout(self.tabMca) tabMcaLayout.setContentsMargins(margin, margin, margin, margin) tabMcaLayout.setSpacing(spacing) w = self.tabMca line = Line(w, info="TABLE") tabMcaLayout.addWidget(line) line.setToolTip("DoubleClick toggles floating window mode") self.mcatable = McaAdvancedTable.McaTable(w) tabMcaLayout.addWidget(self.mcatable) self.mainTab.addTab(w,"TABLE") line.sigLineDoubleClickEvent.connect(self._tabReparent) self.mcatable.sigClosed.connect(self._mcatableClose) #concentrations self.tabConcentrations = qt.QWidget() tabConcentrationsLayout = qt.QVBoxLayout(self.tabConcentrations) tabConcentrationsLayout.setContentsMargins(margin, margin, margin, margin) tabConcentrationsLayout.setSpacing(0) line2 = Line(self.tabConcentrations, info="CONCENTRATIONS") self.concentrationsWidget = ConcentrationsWidget.Concentrations(self.tabConcentrations) tabConcentrationsLayout.addWidget(line2) tabConcentrationsLayout.addWidget(self.concentrationsWidget) self.mainTab.addTab(self.tabConcentrations,"CONCENTRATIONS") line2.setToolTip("DoubleClick toggles floating window mode") self.concentrationsWidget.sigConcentrationsSignal.connect( \ self.__configureFromConcentrations) line2.sigLineDoubleClickEvent.connect(self._tabReparent) self.concentrationsWidget.sigClosed.connect( \ self._concentrationsWidgetClose) #diagnostics self.tabDiagnostics = qt.QWidget() tabDiagnosticsLayout = qt.QVBoxLayout(self.tabDiagnostics) tabDiagnosticsLayout.setContentsMargins(margin, margin, margin, margin) tabDiagnosticsLayout.setSpacing(spacing) w = self.tabDiagnostics self.diagnosticsWidget = qt.QTextEdit(w) self.diagnosticsWidget.setReadOnly(1) tabDiagnosticsLayout.addWidget(self.diagnosticsWidget) self.mainTab.addTab(w, "DIAGNOSTICS") self.mainTab.currentChanged[int].connect(self._tabChanged) self._energyAxis = False self.__printmenu = qt.QMenu() self.__printmenu.addAction(QString("Calibrate"), self._calibrate) self.__printmenu.addAction(QString("Identify Peaks"),self.__peakIdentifier) self.__printmenu.addAction(QString("Elements Info"), self.__elementsInfo) self.outdir = None self.configDir = None self.__lastreport= None self.browser = None self.info = {} self.__fitdone = 0 self._concentrationsDict = None self._concentrationsInfo = None self._xrfmcMatrixSpectra = None #self.graph.hide() #self.guiconfig = FitParam.Fitparam() """ self.specfitGUI.guiconfig.MCACheckBox.setEnabled(0) palette = self.specfitGUI.guiconfig.MCACheckBox.palette() palette.setDisabled(palette.active()) """ ############## hbox=qt.QWidget(self) self.bottom = hbox hboxLayout = qt.QHBoxLayout(hbox) hboxLayout.setContentsMargins(0, 0, 0, 0) hboxLayout.setSpacing(4) if not top: self.configureButton = qt.QPushButton(hbox) self.configureButton.setText("Configure") self.toolsButton = qt.QPushButton(hbox) self.toolsButton.setText("Tools") hboxLayout.addWidget(self.configureButton) hboxLayout.addWidget(self.toolsButton) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) self.fitButton = qt.QPushButton(hbox) hboxLayout.addWidget(self.fitButton) #font = self.fitButton.font() #font.setBold(True) #self.fitButton.setFont(font) self.fitButton.setText("Fit Again!") self.printButton = qt.QPushButton(hbox) hboxLayout.addWidget(self.printButton) self.printButton.setText("Print") self.htmlReportButton = qt.QPushButton(hbox) hboxLayout.addWidget(self.htmlReportButton) self.htmlReportButton.setText("HTML Report") self.matrixSpectrumButton = qt.QPushButton(hbox) hboxLayout.addWidget(self.matrixSpectrumButton) self.matrixSpectrumButton.setText("Matrix Spectrum") self.matrixXRFMCSpectrumButton = qt.QPushButton(hbox) self.matrixXRFMCSpectrumButton.setText("MC Matrix Spectrum") hboxLayout.addWidget(self.matrixXRFMCSpectrumButton) self.matrixXRFMCSpectrumButton.hide() self.peaksSpectrumButton = qt.QPushButton(hbox) hboxLayout.addWidget(self.peaksSpectrumButton) self.peaksSpectrumButton.setText("Peaks Spectrum") self.matrixSpectrumButton.setCheckable(1) self.peaksSpectrumButton.setCheckable(1) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) self.dismissButton = qt.QPushButton(hbox) hboxLayout.addWidget(self.dismissButton) self.dismissButton.setText("Dismiss") hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) self.mainLayout.addWidget(hbox) self.printButton.setToolTip('Print Active Tab') self.htmlReportButton.setToolTip('Generate Browser Compatible Output\nin Chosen Directory') self.matrixSpectrumButton.setToolTip('Toggle Matrix Spectrum Calculation On/Off') self.matrixXRFMCSpectrumButton.setToolTip('Calculate Matrix Spectrum Using Monte Carlo') self.peaksSpectrumButton.setToolTip('Toggle Individual Peaks Spectrum Calculation On/Off') self.mcafit = ClassMcaTheory.McaTheory() self.fitButton.clicked.connect(self.fit) self.printButton.clicked.connect(self.printActiveTab) self.htmlReportButton.clicked.connect(self.htmlReport) self.matrixSpectrumButton.clicked.connect(self.__toggleMatrixSpectrum) if self.matrixXRFMCSpectrumButton is not None: self.matrixXRFMCSpectrumButton.clicked.connect(self.xrfmcSpectrum) self.peaksSpectrumButton.clicked.connect(self.__togglePeaksSpectrum) self.dismissButton.clicked.connect(self.dismiss) self.top.configureButton.clicked.connect(self.__configure) self.top.printButton.clicked.connect(self.__printps) if top: self.top.sigTopSignal.connect(self.__updatefromtop) else: self.top.hide() self.configureButton.clicked.connect(self.__configure) self.toolsButton.clicked.connect(self.__printps) self._updateTop() def __mainTabPatch(self, index): return self.mainTabLabels[index] def _fitdone(self): if self.__fitdone: return True else: return False def _submitThread(self, function, parameters, message="Please wait", expandparametersdict=None): if expandparametersdict is None: expandparametersdict= False sthread = SimpleThread() sthread._expandParametersDict=expandparametersdict sthread._function = function sthread._kw = parameters #try: sthread.start() #except: # raise "ThreadError",sys.exc_info() msg = qt.QDialog(self, qt.Qt.FramelessWindowHint) msg.setModal(0) msg.setWindowTitle("Please Wait") layout = qt.QHBoxLayout(msg) l1 = qt.QLabel(msg) layout.addWidget(l1) l1.setFixedWidth(l1.fontMetrics().width('##')) l2 = qt.QLabel(msg) layout.addWidget(l2) l2.setText("%s" % message) l3 = qt.QLabel(msg) layout.addWidget(l3) l3.setFixedWidth(l3.fontMetrics().width('##')) msg.show() app = qt.QApplication.instance() app.processEvents() i = 0 ticks = ['-','\\', "|", "/","-","\\",'|','/'] while (sthread.isRunning()): i = (i+1) % 8 l1.setText(ticks[i]) l3.setText(" "+ticks[i]) app.processEvents() time.sleep(1) msg.close() result = sthread._result del sthread self.raise_() return result def refreshWidgets(self): """ This method just forces the graphical widgets to get updated. It should be called if somehow you have modified the fit and/ or concentrations parameters by other means than the graphical interface. """ self.__configure(justupdate=True) def configure(self, ddict=None): """ This methods configures the fitting parameters and updates the graphical interface. It returns the current configuration. """ if ddict is None: return self.mcafit.configure(ddict) #configure and get the new configuration newConfig = self.mcafit.configure(ddict) #refresh the interface self.refreshWidgets() #return the current configuration return newConfig def __configure(self, justupdate=False): config = {} config.update(self.mcafit.config) #config['fit']['use_limit'] = 1 if not justupdate: if self.configDialog is None: if self.__fitdone: dialog = FitParam.FitParamDialog(modal=1, fl=0, initdir=self.configDir, fitresult=self.dict['result']) else: dialog = FitParam.FitParamDialog(modal=1, fl=0, initdir=self.configDir, fitresult=None) dialog.fitparam.peakTable.sigFitPeakSelect.connect( \ self.__elementclicked) self.configDialog = dialog else: dialog = self.configDialog if self.__fitdone: dialog.setFitResult(self.dict['result']) else: dialog.setFitResult(None) if self.__fitdone: # a direct fit without loading the file can lead to errors lastTime = self.mcafit.getLastTime() self.info["time"] = lastTime dialog.setParameters(self.mcafit.getStartingConfiguration()) dialog.setData(self.mcafit.xdata * 1.0, self.mcafit.ydata * 1.0, info=copy.deepcopy(self.info)) #dialog.fitparam.regionCheck.setDisabled(True) #dialog.fitparam.minSpin.setDisabled(True) #dialog.fitparam.maxSpin.setDisabled(True) ret = dialog.exec_() if dialog.initDir is not None: self.configDir = 1 * dialog.initDir else: self.configDir = None if ret != qt.QDialog.Accepted: dialog.close() #del dialog return try: #this may crash in qt 2.3.0 npar = dialog.getParameters() except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error occured getting parameters:") msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() return config.update(npar) dialog.close() #del dialog self.graph.clearMarkers() self.graph.replot() self.__fitdone = False self._concentrationsDict = None self._concentrationsInfo = None self._xrfmcMatrixSpectra = None if self.concentrationsWidget is not None: self.concentrationsWidget.concentrationsTable.setRowCount(0) if self.mcatable is not None: self.mcatable.setRowCount(0) self.diagnosticsWidget.clear() #make sure newly or redefined materials are added to the #materials in the fit configuration for material in Elements.Material.keys(): self.mcafit.config['materials'][material] =copy.deepcopy(Elements.Material[material]) hideButton = True if 'xrfmc' in config: programFile = config['xrfmc'].get('program', None) if programFile is not None: if os.path.exists(programFile): if os.path.isfile(config['xrfmc']['program']): hideButton = False if hideButton: self.matrixXRFMCSpectrumButton.hide() else: self.matrixXRFMCSpectrumButton.show() if DEBUG: self.mcafit.configure(config) elif 1: try: thread = CalculationThread.CalculationThread( \ calculation_method = self.mcafit.configure, calculation_vars = config, expand_vars=False, expand_kw=False) thread.start() CalculationThread.waitingMessageDialog(thread, message = "Configuring, please wait", parent=self, modal=True, update_callback=None, frameless=True) threadResult = thread.getResult() if type(threadResult) == type((1,)): if len(threadResult): if threadResult[0] == "Exception": raise Exception(threadResult[1], threadResult[2]) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Configuration error") msg.setText("Error configuring fit:") msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() return else: try: threadResult=self._submitThread(self.mcafit.configure, config, "Configuring, please wait") if type(threadResult) == type((1,)): if len(threadResult): if threadResult[0] == "Exception": raise Exception(threadResult[1], threadResult[2]) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Configuration error") msg.setText("Error configuring fit:") msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() return #update graph delcurves = [] curveList = self.graph.getAllCurves(just_legend=True) for key in curveList: if key not in ["Data"]: delcurves.append(key) for key in delcurves: self.graph.removeCurve(key) if not justupdate: self.plot() self._updateTop() if self.concentrationsWidget is not None: try: app = qt.QApplication.instance() app.processEvents() self.concentrationsWidget.setParameters(config['concentrations'], signal=False) except: if str(self.mainTab.tabText(self.mainTab.currentIndex())).upper() == "CONCENTRATIONS": self.mainTab.setCurrentIndex(0) def __configureFromConcentrations(self,ddict): if DEBUG: print("McaAdvancedFit.__configureFromConcentrations", ddict) config = self.concentrationsWidget.getParameters() self.mcafit.config['concentrations'].update(config) if ddict['event'] == 'updated': if 'concentrations' in ddict: self._concentrationsDict = ddict['concentrations'] self._concentrationsInfo = None self._xrfmcMatrixSpectra = None def __elementclicked(self,ddict): ddict['event'] = 'McaAdvancedFitElementClicked' self.__showElementMarker(ddict) self.__anasignal(ddict) def __showElementMarker(self, dict): self.graph.clearMarkers() ele = dict['current'] items = [] if not (ele in dict): self.graph.replot() return for rays in dict[ele]: for transition in Elements.Element[ele][rays +" xrays"]: items.append([transition, Elements.Element[ele][transition]['energy'], Elements.Element[ele][transition]['rate']]) config = self.mcafit.configure() xdata = self.mcafit.xdata * 1.0 xmin = xdata[0] xmax = xdata[-1] ymin,ymax = self.graph.getGraphYLimits() calib = [config['detector'] ['zero'], config['detector'] ['gain']] for transition,energy,rate in items: marker = "" x = (energy - calib[0])/calib[1] if (x < xmin) or (x > xmax):continue if not self._energyAxis: if abs(calib[1]) > 0.0000001: marker=self.graph.insertXMarker(x, legend=transition, text=transition, color='orange', replot=False) else: marker=self.graph.insertXMarker(energy, legend=transition, text=transition, color='orange', replot=False) self.graph.replot() def _updateTop(self): config = {} if 0: config.update(self.mcafit.config['fit']) else: config['stripflag'] = self.mcafit.config['fit'].get('stripflag',0) config['fitfunction'] = self.mcafit.config['fit'].get('fitfunction',0) config['hypermetflag'] = self.mcafit.config['fit'].get('hypermetflag',1) config['sumflag'] = self.mcafit.config['fit'].get('sumflag',0) config['escapeflag'] = self.mcafit.config['fit'].get('escapeflag',0) config['continuum'] = self.mcafit.config['fit'].get('continuum',0) self.top.setParameters(config) def __updatefromtop(self,ndict): config = self.mcafit.configure() for key in ndict.keys(): if DEBUG: keylist = ['stripflag','hypermetflag','sumflag','escapeflag', 'fitfunction', 'continuum'] if key not in keylist: print("UNKNOWN key ",key) config['fit'][key] = ndict[key] self.__fitdone = False #erase table if self.mcatable is not None: self.mcatable.setRowCount(0) #erase concentrations if self.concentrationsWidget is not None: self.concentrationsWidget.concentrationsTable.setRowCount(0) #erase diagnostics self.diagnosticsWidget.clear() #update graph curveList = self.graph.getAllCurves(just_legend=True) delcurves = [] for key in curveList: if key not in ["Data"]: delcurves.append(key) for key in delcurves: self.graph.removeCurve(key) self.plot() if DEBUG: self.mcafit.configure(config) elif 1: try: thread = CalculationThread.CalculationThread( \ calculation_method = self.mcafit.configure, calculation_vars = config, expand_vars=False, expand_kw=False) thread.start() CalculationThread.waitingMessageDialog(thread, message = "Configuring, please wait", parent=self, modal=True, update_callback=None) threadResult = thread.getResult() if type(threadResult) == type((1,)): if len(threadResult): if threadResult[0] == "Exception": raise Exception(threadResult[1], threadResult[2]) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Configuration error") msg.setText("Error configuring fit:") msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() return else: try: threadResult=self._submitThread(self.mcafit.configure, config, "Configuring, please wait") if type(threadResult) == type((1,)): if len(threadResult): if threadResult[0] == "Exception": raise Exception(threadResult[1], threadResult[2]) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error: %s" % (sys.exc_info()[1])) msg.exec_() return def _tabChanged(self, value): if DEBUG: print("_tabChanged(self, value) called") if str(self.mainTab.tabText(self.mainTab.currentIndex())).upper() == "CONCENTRATIONS": self.printButton.setEnabled(False) w = self.concentrationsWidget if w.parent() is None: if w.isHidden(): w.show() w.raise_() self.printButton.setEnabled(True) #do not calculate again. It should be already updated return if DEBUG: self.concentrations() self.printButton.setEnabled(True) else: try: self.concentrations() self.printButton.setEnabled(True) except: #print "try to set" self.printButton.setEnabled(False) msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Concentrations error: %s" % sys.exc_info()[1]) msg.exec_() self.mainTab.setCurrentIndex(0) elif str(self.mainTab.tabText(self.mainTab.currentIndex())).upper() == "TABLE": self.printButton.setEnabled(True) w = self.mcatable if w.parent() is None: if w.isHidden(): w.show() w.raise_() elif str(self.mainTab.tabText(self.mainTab.currentIndex())).upper() == "DIAGNOSTICS": self.printButton.setEnabled(False) self.diagnostics() else: self.printButton.setEnabled(True) def _concentrationsWidgetClose(self, ddict): ddict['info'] = "CONCENTRATIONS" self._tabReparent(ddict) def _mcatableClose(self, ddict): ddict['info'] = "TABLE" self._tabReparent(ddict) def _tabReparent(self, ddict): if ddict['info'] == "CONCENTRATIONS": w = self.concentrationsWidget parent = self.tabConcentrations elif ddict['info'] == "TABLE": w = self.mcatable parent = self.tabMca if w.parent() is not None: parent.layout().removeWidget(w) w.setParent(None) w.show() else: w.setParent(parent) parent.layout().addWidget(w) def _calibrate(self): config = self.mcafit.configure() x = self.mcafit.xdata0[:] y = self.mcafit.ydata0[:] legend = "Calibration for " + qt.safe_str(self.headerLabel.text()) ndict={} ndict[legend] = {'A':config['detector']['zero'], 'B':config['detector']['gain'], 'C': 0.0} caldialog = McaCalWidget.McaCalWidget(legend=legend, x=x, y=y, modal=1, caldict=ndict, fl=0) caldialog.calpar.orderbox.setEnabled(0) caldialog.calpar.CText.setEnabled(0) caldialog.calpar.savebox.setEnabled(0) ret = caldialog.exec_() if ret == qt.QDialog.Accepted: ddict = caldialog.getDict() config['detector']['zero'] = ddict[legend]['A'] config['detector']['gain'] = ddict[legend]['B'] #self.mcafit.configure(config) self.mcafit.config['detector']['zero'] = 1. * ddict[legend]['A'] self.mcafit.config['detector']['gain'] = 1. * ddict[legend]['B'] self.__fitdone = 0 self.plot() del caldialog def __elementsInfo(self): if self.elementsInfo is None: self.elementsInfo = ElementsInfo.ElementsInfo(None, "Elements Info") if self.elementsInfo.isHidden(): self.elementsInfo.show() self.elementsInfo.raise_() def __peakIdentifier(self, energy = None): if energy is None:energy = 5.9 if self.identifier is None: self.identifier=PeakIdentifier.PeakIdentifier(energy=energy, threshold=0.040, useviewer=1) self.identifier.mySlot() self.identifier.setEnergy(energy) if self.identifier.isHidden(): self.identifier.show() self.identifier.raise_() def printActiveTab(self): txt = str(self.mainTab.tabText(self.mainTab.currentIndex())).upper() if txt == "GRAPH": self.graph.printps() elif txt == "TABLE": self.printps(True) elif txt == "CONCENTRATIONS": self.printConcentrations(True) elif txt == "DIAGNOSTICS": pass else: pass def diagnostics(self): self.diagnosticsWidget.clear() if not self.__fitdone: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) text = "Sorry. You need to perform a fit first.\n" msg.setText(text) msg.exec_() if str(self.mainTab.tabText(self.mainTab.currentIndex())).upper() == "DIAGNOSTICS": self.mainTab.setCurrentIndex(0) return fitresult = self.dict x = fitresult['result']['xdata'] energy = fitresult['result']['energy'] y = fitresult['result']['ydata'] yfit = fitresult['result']['yfit'] param = fitresult['result']['fittedpar'] i = fitresult['result']['parameters'].index('Noise') noise= param[i] * param[i] i = fitresult['result']['parameters'].index('Fano') fano = param[i] * 2.3548*2.3548*0.00385 meanfwhm = numpy.sqrt(noise + 0.5 * (energy[0] + energy[-1]) * fano) i = fitresult['result']['parameters'].index('Gain') gain = fitresult['result']['fittedpar'][i] meanfwhm = int(meanfwhm/gain) + 1 missed = self.mcafit.detectMissingPeaks(y, yfit, meanfwhm) hcolor = 'white' finalcolor = 'white' text="" if len(missed): text+="<br><b><font color=blue size=4>Possibly Missing or Underestimated Peaks</font></b>" text+="<nobr><table><tr>" text+='<td align="right" bgcolor="%s"><b>' % hcolor text+='Channel' text+="</b></td>" text+='<td align="right" bgcolor="%s"><b>' % hcolor text+='Energy' text+="</b></td>" text+="</tr>" for peak in missed: text+="<tr>" text+='<td align="right" bgcolor="%s">' % finalcolor text+="<b><font size=3>%d </font></b>" % x[int(peak)] text+="</td>" text+='<td align="right" bgcolor="%s">' % finalcolor text+="<b><font size=3>%.3f </font></b>" % energy[int(peak)] text+="</td>" text+="</tr>" text+="<tr>" text+="</table>" missed = self.mcafit.detectMissingPeaks(yfit, y, meanfwhm) if len(missed): text+="<br><b><font color=blue size=4>Possibly Overestimated Peaks</font></b>" text+="<nobr><table><tr>" text+='<td align="right" bgcolor="%s"><b>' % hcolor text+='Channel' text+="</b></td>" text+='<td align="right" bgcolor="%s"><b>' % hcolor text+='Energy' text+="</b></td>" text+="</tr>" for peak in missed: text+="<tr>" text+='<td align="right" bgcolor="%s">' % finalcolor text+="<b><font size=3>%d </font></b>" % x[int(peak)] text+="</td>" text+='<td align="right" bgcolor="%s">' % finalcolor text+="<b><font size=3>%.3f </font></b>" % energy[int(peak)] text+="</td>" text+="</tr>" text+="<tr>" text+="</table>" # check for secondary effects useMatrix = False for attenuator in fitresult['result']['config']['attenuators']: if attenuator.upper() == "MATRIX": if fitresult['result']['config']['attenuators'][attenuator][0]: useMatrix = True break if useMatrix and FISX and \ (not fitresult['result']['config']['concentrations']['usemultilayersecondary']): doIt = False corrections = None if 'fisx' in fitresult['result']['config']: corrections = fitresult['result']['config']['fisx'].get('corrections', None) if corrections is None: # calculate the corrections corrections = FisxHelper.getFisxCorrectionFactorsFromFitConfiguration( \ fitresult['result']['config'], elementsFromMatrix=False) # to put it into config is misleading because it was not made at # configuration time. if 'fisx' not in fitresult['result']['config']: fitresult['result']['config']['fisx'] = {} fitresult['result']['config']['fisx']['secondary'] = 2 fitresult['result']['config']['fisx']['corrections'] = corrections tertiary = False bodyText = "" for element in corrections: for family in corrections[element]: correction = corrections[element][family]['correction_factor'] if correction[-1] > 1.02: doIt = True bodyText += "<tr>" bodyText += '<td align="right" bgcolor="%s">' % finalcolor bodyText += "<b><font size=3>%s  </font></b>" % \ (element + " " + family) bodyText += "</td>" bodyText += '<td align="right" bgcolor="%s">' % finalcolor bodyText += "<b><font size=3>" bodyText += "%.3f</font></b>" % correction[1] bodyText += "   " if len(corrections[element][family]['correction_factor']) > 2: tertiary = True bodyText+= "</td>" bodyText += '<td align="right" bgcolor="%s">' % finalcolor bodyText += "<b><font size=3>" bodyText+= "%.3f </font></b>" % correction[2] bodyText += "   " bodyText+= "</td>" bodyText+= "</tr>" if doIt: bodyText += "<tr>" bodyText += "</table>" warningText = "<br><b><font color=blue size=4>" warningText += "Neglected higher order excitation correction</font></b>" warningText += "<nobr><table>" warningText += "<tr>" warningText += '<td align="right" bgcolor="%s"><b>' % hcolor warningText += 'Peak Family' warningText += "</b></td>" warningText += '<td align="right" bgcolor="%s"><b>' % hcolor warningText += (' ' * 10) warningText += '2nd Order' warningText += "</b></td>" if tertiary: warningText += '<td align="right" bgcolor="%s"><b>' % hcolor warningText += (' ' * 10) warningText += '3rd Order' warningText += "</b></td>" warningText += "</tr>" text += (warningText + bodyText) self.diagnosticsWidget.insertHtml(text) def concentrations(self): self._concentrationsDict = None self._concentrationsInfo = None self._xrfmcMatrixSpectra = None if not self.__fitdone: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) text = "Sorry, You need to perform a fit first.\n" msg.setText(text) msg.exec_() if str(self.mainTab.tabText(self.mainTab.currentIndex())).upper() == "CONCENTRATIONS": self.mainTab.setCurrentIndex(0) return fitresult = self.dict if False: #from the fit, it misses any update from concentrations config = fitresult['result']['config'] else: #from current, it should be up to date config = self.mcafit.configure() #tool = ConcentrationsWidget.Concentrations(fl=qt.Qt.WDestructiveClose) if self.concentrationsWidget is None: self.concentrationsWidget = ConcentrationsWidget.Concentrations() self.concentrationsWidget.sigConcentrationsSignal.connect( \ self.__configureFromConcentrations) self.concentrationsWidget.setTimeFactor(self.mcafit.getLastTime(), signal=False) tool = self.concentrationsWidget #this forces update tool.getParameters() ddict = {} ddict.update(config['concentrations']) tool.setParameters(ddict, signal=False) if DEBUG: ddict, info = tool.processFitResult(config=ddict,fitresult=fitresult, elementsfrommatrix=False, fluorates = self.mcafit._fluoRates, addinfo=True) else: try: ddict, info = tool.processFitResult(config=ddict,fitresult=fitresult, elementsfrommatrix=False, fluorates = self.mcafit._fluoRates, addinfo=True) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error processing fit result: %s" % (sys.exc_info()[1])) msg.exec_() if str(self.mainTab.tabText(self.mainTab.currentIndex())).upper() == 'CONCENTRATIONS': self.mainTab.setCurrentIndex(0) return self._concentrationsDict = ddict self._concentrationsInfo = info tool.show() tool.setFocus() tool.raise_() def __toggleMatrixSpectrum(self): if self.matrixSpectrumButton.isChecked(): self.matrixSpectrum() self.plot() else: if "Matrix" in self.graph.getAllCurves(just_legend=True): self.graph.removeCurve("Matrix") self.plot() def __togglePeaksSpectrum(self): if self.peaksSpectrumButton.isChecked(): self.peaksSpectrum() else: self.__clearPeaksSpectrum() self.plot() def __clearPeaksSpectrum(self): delcurves = [] for key in self.graph.getAllCurves(just_legend=True): if key not in ["Data", "Fit", "Continuum", "Pile-up", "Matrix"]: if key.startswith('MC Matrix'): if self._xrfmcMatrixSpectra in [None, []]: delcurves.append(key) else: delcurves.append(key) for key in delcurves: self.graph.removeCurve(key, replot=False) def matrixSpectrum(self): if not self.__fitdone: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) text = "Sorry, for the time being you need to perform a fit first\n" text+= "in order to calculate the spectrum derived from the matrix.\n" text+= "Background and detector parameters are taken from last fit" msg.setText(text) msg.exec_() return #fitresult = self.dict['result'] fitresult = self.dict config = self.mcafit.configure() self._concentrationsInfo = None tool = ConcentrationsTool.ConcentrationsTool() #this forces update tool.configure() ddict = {} ddict.update(config['concentrations']) tool.configure(ddict) if DEBUG: ddict, info = tool.processFitResult(fitresult=fitresult, elementsfrommatrix=True, addinfo=True) elif 1: try: thread = CalculationThread.CalculationThread( \ calculation_method = tool.processFitResult, calculation_kw = {'fitresult':fitresult, 'elementsfrommatrix':True, 'addinfo':True}, expand_vars=True, expand_kw=True) thread.start() CalculationThread.waitingMessageDialog(thread, message = "Calculating Matrix Spectrum", parent=self, modal=True, update_callback=None) threadResult = thread.getResult() if type(threadResult) == type((1,)): if len(threadResult): if threadResult[0] == "Exception": raise Exception(threadResult[1], threadResult[2]) ddict, info = threadResult except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error: %s" % (sys.exc_info()[1])) msg.exec_() return else: try: threadResult = self._submitThread(tool.processFitResult, {'fitresult':fitresult, 'elementsfrommatrix':True, 'addinfo':True}, "Calculating Matrix Spectrum", True) if type(threadResult) == type((1,)): if len(threadResult): if threadResult[0] == "Exception": raise Exception(threadResult[1], threadResult[2]) ddict, info = threadResult except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error: %s" % (sys.exc_info()[1])) msg.exec_() return self._concentrationsInfo = info groupsList = fitresult['result']['groups'] if type(groupsList) != type([]): groupsList = [groupsList] corrections = None if fitresult['result']['config']['concentrations']['usemultilayersecondary']: if 'fisx' in fitresult: corrections = fitresult['fisx'].get('corrections', None) if corrections is None: # try to see if they were in the configuration # in principle this would be the most appropriate place to be # unless matrix/configuration has been somehow updated. if 'fisx' in fitresult['result']['config']: corrections = fitresult['result']['config']['fisx'].get('corrections', None) if corrections is None: # calculate the corrections # in principle I should never get here corrections = FisxHelper.getFisxCorrectionFactorsFromFitConfiguration( \ fitresult['result']['config']) areas = [] for group in groupsList: item = group.split() element = item[0] if len(element) >2: areas.append(0.0) else: area = ddict['area'][group] if corrections is not None: if element in corrections: area *= corrections[element][item[1]]['counts'][-1] / \ corrections[element][item[1]]['counts'][0] areas.append(area) nglobal = len(fitresult['result']['parameters']) - len(groupsList) parameters = [] for i in range(len(fitresult['result']['parameters'])): if i < nglobal: parameters.append(fitresult['result']['fittedpar'][i]) else: parameters.append(areas[i-nglobal]) xmatrix = fitresult['result']['xdata'] ymatrix = self.mcafit.mcatheory(parameters,xmatrix) ymatrix.shape = [len(ymatrix),1] ddict=copy.deepcopy(self.dict) ddict['event'] = "McaAdvancedFitMatrixFinished" if self.mcafit.STRIP: ddict['result']['ymatrix'] = ymatrix + self.mcafit.zz else: ddict['result']['ymatrix'] = ymatrix ddict['result']['ymatrix'].shape = (len(ddict['result']['ymatrix']),) ddict['result']['continuum'].shape = (len(ddict['result']['ymatrix']),) if self.matrixSpectrumButton.isChecked(): self.dict['result']['ymatrix']= ddict['result']['ymatrix'] * 1.0 """ if self.graph is not None: if self._logY: logfilter = 1 else: logfilter = 0 if self._energyAxis: xdata = dict['result']['energy'][:] else: xdata = dict['result']['xdata'][:] self.graph.newCurve("Matrix",xdata,dict['result']['ymatrix'],logfilter=logfilter) """ try: self.__anasignal(ddict) except: print("Error generating matrix output. ") print("Try to perform your fit again. ") print(sys.exc_info()) print("If error persists, please report this error.") print("ymatrix shape = ", ddict['result']['ymatrix'].shape) print("xmatrix shape = ", xmatrix.shape) print("continuum shape = ", ddict['result']['continuum'].shape) print("zz shape = ", self.mcafit.zz.shape) def fisxSpectrum(self): if not self.__fitdone: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) text = "Sorry, current implementation requires you to perform a fit first\n" msg.setText(text) msg.exec_() return self._xrfmcMatrixSpectra = None fitresult = self.dict self._fisxMatrixSpectra = None if self._concentrationsInfo is None: # concentrations have to be calculated too self.concentrations() # force fisx to work on fundamental parameters mode fitConfiguration = copy.deepcopy(self.dict['result']["config"]) fitConfiguration['concentrations']['usematrix'] = 0 fitConfiguration['concentrations']['flux'] = self._concentrationsInfo['Flux'] fitConfiguration['concentrations']['time'] = self._concentrationsInfo['Time'] # calculate expected fluorescence signal from elements present in the sample correctionFactors = FisxHelper.getFisxCorrectionFactorsFromFitConfiguration( \ fitConfiguration, elementsFromMatrix=True) groupsList = fitresult['result']['groups'] if type(groupsList) != type([]): groupsList = [groupsList] areas0 = [] areas1 = [] for group in groupsList: item = group.split() element = item[0] if element not in correctionFactors: areas0.append(0.0) areas1.append(0.0) else: if len(element) >2: areas0.append(0.0) areas1.append(0.0) else: # transitions = item[1] + " xrays" areas0.append(correctionFactors[element][item[1]]['counts'][0] * \ self._concentrationsInfo['Flux'] * self._concentrationsInfo['Time'] * \ self._concentrationsInfo['SolidAngle']) areas1.append(correctionFactors[element][item[1]]['counts'][1] * \ self._concentrationsInfo['Flux'] * self._concentrationsInfo['Time'] * \ self._concentrationsInfo['SolidAngle']) # primary nglobal = len(fitresult['result']['parameters']) - len(groupsList) parameters = [] for i in range(len(fitresult['result']['parameters'])): if i < nglobal: parameters.append(fitresult['result']['fittedpar'][i]) else: parameters.append(areas0[i-nglobal]) xmatrix = fitresult['result']['xdata'] ymatrix0 = self.mcafit.mcatheory(parameters, xmatrix) ymatrix0.shape = [len(ymatrix0),1] #secondary nglobal = len(fitresult['result']['parameters']) - len(groupsList) parameters = [] for i in range(len(fitresult['result']['parameters'])): if i < nglobal: parameters.append(fitresult['result']['fittedpar'][i]) else: parameters.append(areas1[i-nglobal]) ymatrix1 = self.mcafit.mcatheory(parameters, xmatrix) ymatrix1.shape = [len(ymatrix1),1] zeroindex = fitresult['result']['parameters'].index('Zero') gainindex = fitresult['result']['parameters'].index('Gain') zero = fitresult['result']['fittedpar'][zeroindex] gain = fitresult['result']['fittedpar'][gainindex] if self.mcafit.STRIP: ymatrix0 += self.mcafit.zz ymatrix1 += self.mcafit.zz # channels, energy, single, multiple self._xrfmcMatrixSpectra = [xmatrix, xmatrix * gain + zero, ymatrix0, ymatrix1] #self.logWidget.hide() self.plot() ddict=copy.deepcopy(self.dict) ddict['event'] = "McaAdvancedFitXRFMCMatrixFinished" def xrfmcSpectrum(self): #print "SKIPPING" #return self.fisxSpectrum() if not self.__fitdone: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) text = "Sorry, current implementation requires you to perform a fit first\n" msg.setText(text) msg.exec_() return fitresult = self.dict self._xrfmcMatrixSpectra = None if self._concentrationsInfo is None: # concentrations have to be calculated too self.concentrations() # force the Monte Carlo to work on fundamental parameters mode ddict = copy.deepcopy(self.dict) ddict['result']['config']['concentrations']['usematrix'] = 0 ddict['result']['config']['concentrations']['flux'] = self._concentrationsInfo['Flux'] ddict['result']['config']['concentrations']['time'] = self._concentrationsInfo['Time'] if hasattr(self, "__tmpMatrixSpectrumDir"): if self.__tmpMatrixSpectrumDir is not None: self.removeDirectory(self.__tmpMatrixSpectrumDir) self.__tmpMatrixSpectrumDir = tempfile.mkdtemp(prefix="pymcaTmp") nfile = ConfigDict.ConfigDict() nfile.update(ddict) #the Monte Carlo expects this at top level nfile['xrfmc'] = ddict['result']['config']['xrfmc'] newFile = os.path.join(self.__tmpMatrixSpectrumDir, "pymcaTmpFitFile.fit") if os.path.exists(newFile): # this should never happen os.remove(newFile) nfile.write(newFile) nfile = None fileNamesDict = XRFMCHelper.getOutputFileNames(newFile, outputDir=self.__tmpMatrixSpectrumDir) if newFile != fileNamesDict['fit']: removeDirectory(self.__tmpMatrixSpectrumDir) raise ValueError("Inconsistent internal behaviour!") self._xrfmcFileNamesDict = fileNamesDict xrfmcProgram = ddict['result']['config']['xrfmc']['program'] scriptName = fileNamesDict['script'] scriptFile = XRFMCHelper.getScriptFile(xrfmcProgram, name=scriptName) csvName = fileNamesDict['csv'] speName = fileNamesDict['spe'] xmsoName = fileNamesDict['xmso'] # basic parameters args = [scriptFile, "--verbose", "--spe-file=%s" % speName, "--csv-file=%s" % csvName, #"--enable-roi-normalization", #"--disable-roi-normalization", #default #"--enable-pile-up" #"--disable-pile-up" #default #"--enable-poisson", #"--disable-poisson", #default no noise #"--set-threads=2", #overwrite default maximum newFile, xmsoName] # additionalParameters simulationParameters = ["--enable-single-run"] #simulationParameters = ["--enable-single-run", # "--set-threads=2"] i = 0 for parameter in simulationParameters: i += 1 args.insert(1, parameter) # show the command on the log widget text = "%s" % scriptFile for arg in args[1:]: text += " %s" % arg if self.logWidget is None: self.logWidget = SubprocessLogWidget.SubprocessLogWidget() self.logWidget.setMinimumWidth(400) self.logWidget.sigSubprocessLogWidgetSignal.connect(\ self._xrfmcSubprocessSlot) self.logWidget.clear() self.logWidget.show() self.logWidget.raise_() self.logWidget.append(text) self.logWidget.start(args=args) def removeDirectory(self, dirName): if os.path.exists(dirName): if os.path.isdir(dirName): shutil.rmtree(dirName) def _xrfmcSubprocessSlot(self, ddict): if ddict['event'] == "ProcessFinished": returnCode = ddict['code'] msg = qt.QMessageBox(self) msg.setWindowTitle("Simulation finished") if returnCode != 0: msg = qt.QMessageBox(self) msg.setWindowTitle("Simulation Error") msg.setIcon(qt.QMessageBox.Critical) text = "Simulation finished with error code %d\n" % (returnCode) for line in ddict['message']: text += line msg.setText(text) msg.exec_() return xmsoFile = self._xrfmcFileNamesDict['xmso'] corrections = XRFMCHelper.getXMSOFileFluorescenceInformation(xmsoFile) self.dict['result']['config']['xrfmc']['corrections'] = corrections elementsList = list(corrections.keys()) elementsList.sort() for element in elementsList: for key in ['K', 'Ka', 'Kb', 'L', 'L1', 'L2', 'L3', 'M']: if corrections[element][key]['total'] > 0.0: value = corrections[element][key]['correction_factor'][-1] if value != 1.0: text = "%s %s xrays multiple excitation factor = %.4f" % \ (element, key, value) self.logWidget.append(text) from PyMca5.PyMcaIO import specfilewrapper as specfile sf = specfile.Specfile(self._xrfmcFileNamesDict['csv']) nScans = len(sf) scan = sf[nScans - 1] nMca = scan.nbmca() # specfile starts numbering at one # and the first mca corresponds to the energy self._xrfmcMatrixSpectra = [] for i in range(1, nMca + 1): self._xrfmcMatrixSpectra.append(scan.mca(i)) scan = None sf = None self.removeDirectory(self.__tmpMatrixSpectrumDir) #self.logWidget.hide() self.plot() ddict=copy.deepcopy(self.dict) ddict['event'] = "McaAdvancedFitXRFMCMatrixFinished" if 0: # this for later try: self.__anasignal(ddict) except: print("Error generating Monte Carlo matrix output. ") print(sys.exc_info()) def peaksSpectrum(self): if not self.__fitdone: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) text = "You need to perform a fit first\n" msg.setText(text) msg.exec_() return #fitresult = self.dict['result'] fitresult = self.dict # force update self.mcafit.configure() groupsList = fitresult['result']['groups'] if type(groupsList) != type([]): groupsList = [groupsList] nglobal = len(fitresult['result']['parameters']) - len(groupsList) ddict=copy.deepcopy(self.dict) ddict['event'] = "McaAdvancedFitPeaksFinished" newparameters = fitresult['result']['fittedpar'] * 1 for i in range(nglobal,len(fitresult['result']['parameters'])): newparameters[i] = 0.0 for i in range(nglobal,len(fitresult['result']['parameters'])): group = fitresult['result']['parameters'][i] parameters = newparameters * 1 parameters[i] = fitresult['result']['fittedpar'][i] xmatrix = fitresult['result']['xdata'] ymatrix = self.mcafit.mcatheory(parameters,xmatrix) ymatrix.shape = [len(ymatrix),1] label = 'y'+group if self.mcafit.STRIP: ddict['result'][label] = ymatrix + self.mcafit.zz else: ddict['result'][label] = ymatrix ddict['result'][label].shape = (len(ddict['result'][label]),) if self.peaksSpectrumButton.isChecked(): self.dict['result'][label]= ddict['result'][label] * 1.0 try: self.__anasignal(ddict) except: print("Error generating peaks output. ") print("Try to perform your fit again. ") print(sys.exc_info()) print("If error persists, please report this error.") print("ymatrix shape = ", ddict['result']['ymatrix'].shape) print("xmatrix shape = ", xmatrix.shape) print("continuum shape = ", ddict['result']['continuum'].shape) print("zz shape = ", self.mcafit.zz.shape) def __printps(self): self.__printmenu.exec_(self.cursor().pos()) def htmlReport(self,index=None): if not self.__fitdone: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("You should perform a fit \nfirst,\n shouldn't you?") msg.exec_() return oldoutdir = self.outdir if self.outdir is None: cwd = PyMcaDirs.outputDir outfile = qt.QFileDialog(self) outfile.setWindowTitle("Output Directory Selection") outfile.setModal(1) outfile.setFileMode(outfile.DirectoryOnly) outfile.setDirectory(cwd) ret = outfile.exec_() if ret: self.outdir = qt.safe_str(outfile.selectedFiles()[0]) outfile.close() del outfile else: # pyflakes http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=666494 outfile.close() del outfile return if self.outdir[-1]=="/":self.outdir=self.outdir[0:-1] try: self.__htmlReport() except IOError: self.outdir = None if oldoutdir is not None: if os.path.exists(oldoutdir): self.outdir = oldoutdir msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Input Output Error: %s" % (sys.exc_info()[1])) msg.exec_() def __htmlReport(self,outfile=None): report = QtMcaAdvancedFitReport.QtMcaAdvancedFitReport(fitfile=None, outfile=outfile, outdir=self.outdir, sourcename=self.info['sourcename'], selection=self.info['legend'], fitresult=self.dict, concentrations=self._concentrationsDict, plotdict={'logy':self.graph.isYAxisLogarithmic()}) if 0: #this forces to open and read the file self.__lastreport = report.writeReport() else: text = report.getText() self.__lastreport = report.writeReport(text=text) if self.browser is None: self.browser= qt.QWidget() self.browser.setWindowTitle(QString(self.__lastreport)) self.browser.layout = qt.QVBoxLayout(self.browser) self.browser.layout.setContentsMargins(0, 0, 0, 0) self.browser.layout.setSpacing(0) self.__printmenu.addSeparator() self.__printmenu.addAction(QString("Last Report"),self.showLastReport) self.browsertext = qt.QTextBrowser(self.browser) self.browsertext.setReadOnly(1) screenWidth = qt.QDesktopWidget().width() if screenWidth > 0: self.browsertext.setMinimumWidth(min(self.width(), int(0.5 * screenWidth))) else: self.browsertext.setMinimumWidth(self.width()) screenHeight = qt.QDesktopWidget().height() if screenHeight > 0: self.browsertext.setMinimumHeight(min(self.height(), int(0.5 * screenHeight))) else: self.browsertext.setMinimumHeight(self.height()) self.browser.layout.addWidget(self.browsertext) else: self.browser.setWindowTitle(QString(self.__lastreport)) dirname = os.path.dirname(self.__lastreport) # basename = os.path.basename(self.__lastreport) #self.browsertext.setMimeSourceFactory(qt.QMimeFactory.defaultFactory()) #self.browsertext.mimeSourceFactory().addFilePath(QString(dirname)) self.browsertext.setSearchPaths([QString(dirname)]) #self.browsertext.setSource(qt.QUrl(QString(basename))) self.browsertext.clear() if QTVERSION < '4.2.0': self.browsertext.insertHtml(text) else: self.browsertext.setText(text) self.browsertext.show() self.showLastReport() def showLastReport(self): if self.browser is not None: self.browser.show() if QTVERSION < '4.0.0': self.browser.raiseW() else: self.browser.raise_() def printConcentrations(self, doit=0): text = "<CENTER>"+self.concentrationsWidget.concentrationsTable.getHtmlText()+"</CENTER>" if (__name__ == "__main__") or (doit): self.__print(text) else: ddict={} ddict['event'] = "McaAdvancedFitPrint" ddict['text' ] = text self.sigMcaAdvancedFitSignal.emit(ddict) def printps(self, doit=0): h = self.__htmlheader() text = "<CENTER>"+self.mcatable.gettext()+"</CENTER>" #text = self.mcatable.gettext() if (__name__ == "__main__") or (doit): self.__print(h+text) #print h+text else: ddict={} ddict['event'] = "McaAdvancedFitPrint" ddict['text' ] = h+text self.sigMcaAdvancedFitSignal.emit(ddict) def __htmlheader(self): header = "%s" % qt.safe_str(self.headerLabel.text()) if header[0] == "<": header = header[3:-3] if self.mcafit.config['fit']['sumflag']: sumflag = "Y" else: sumflag = "N" if self.mcafit.config['fit']['escapeflag']: escapeflag = "Y" else: escapeflag = "N" if self.mcafit.config['fit']['stripflag']: stripflag = "Y" else: stripflag = "N" #bkg = self.mcafit.config['fit']['continuum'] #theory = "Hypermet" bkg = "%s" % qt.safe_str(self.top.BkgComBox.currentText()) theory = "%s" % qt.safe_str(self.top.FunComBox.currentText()) hypermetflag=self.mcafit.config['fit']['hypermetflag'] # g_term = hypermetflag & 1 st_term = (hypermetflag >>1) & 1 lt_term = (hypermetflag >>2) & 1 step_term = (hypermetflag >>3) & 1 if st_term: st_term = "Y" else: st_term = "N" if st_term: lt_term = "Y" else: lt_term = "N" if step_term: step_term = "Y" else: step_term = "N" h="" h+=" <CENTER>" h+="<B>%s</B>" % header h+=" </CENTER>" h+=" <SPACER TYPE=BLOCK HEIGHT=10>" #h+="<BR></BR>" h+=" <CENTER>" h+="<TABLE>" h+="<TR>" h+=" <TD ALIGN=LEFT><B>Function</B></TD>" h+=" <TD><B>:</B></TD>" h+=" <TD NOWRAP ALIGN=LEFT>%s</TD>" % theory h+=" <TD><SPACER TYPE=BLOCK WIDTH=15></TD>" h+=" <TD ALIGN=LEFT><B>ShortTail</B></TD>" h+=" <TD><B>:</B></TD>" h+=" <TD>%s</TD>" % st_term h+=" <TD><SPACER TYPE=BLOCK WIDTH=5></B></TD>" h+=" <TD ALIGN=LEFT><B>LongTail</B></TD>" h+=" <TD><B>:</B></TD>" h+=" <TD>%s</TD>" % lt_term h+=" <TD><SPACER TYPE=BLOCK WIDTH=5></B></TD>" h+=" <TD ALIGN=LEFT><B>StepTail</B></TD>" h+=" <TD><B>:</B></TD>" h+=" <TD>%s</TD>" % step_term h+="</TR>" h+="<TR>" #h+=" <TD ALIGN=LEFT><B>Background</B></TH>" h+=" <TD ALIGN=LEFT><B>Backg.</B></TH>" h+=" <TD><B>:</B></TD>" h+=" <TD NOWRAP ALIGN=LEFT>%s</TD>" % bkg h+=" <TD><SPACER TYPE=BLOCK WIDTH=15></B></TD>" h+=" <TD ALIGN=LEFT><B>Escape</B></TD>" h+=" <TD><B>:</B></TD>" h+=" <TD>%s</TD>" % escapeflag h+=" <TD><SPACER TYPE=BLOCK WIDTH=5></B></TD>" h+=" <TD ALIGN=LEFT><B>Pile-up</B></TD>" h+=" <TD><B>:</B></TD>" h+=" <TD ALIGN=LEFT>%s</TD>" % sumflag h+=" <TD><SPACER TYPE=BLOCK WIDTH=5></B></TD>" h+=" <TD ALIGN=LEFT><B>Strip</B></TD>" h+=" <TD><B>:</B></TD>" h+=" <TD>%s</TD>" % stripflag h+="</TR>" h+="</TABLE>" h+="</CENTER>" return h # pyflakes http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=666503 def __print(self,text): print("__print not working yet") return printer = qt.QPrinter() printDialog = qt.QPrintDialog(printer, self) if printDialog.exec_(): if 0: #this was crashing in Qt 4.2.2 #with the PyQt snapshot of 20061203 editor = qt.QTextEdit() cursor = editor.textCursor() cursor.movePosition(qt.QTextCursor.Start) editor.insertHtml(text) document = editor.document() else: document = qt.QTextDocument() document.setHtml(text) document.print_(printer) def setdata(self, *var, **kw): if DEBUG: print("McaAdvancedFit.setdata deprecated, use setData instead.") return self.setData( *var, **kw) def setData(self,*var,**kw): """ The simplest way to use it is to pass at least the y keyword containing the channel counts. The other items are not mandatory. :keywords: x channels y counts in each channel sigmay uncertainties to be applied if different than sqrt(y) xmin minimum channel of the fit xmax maximum channel of the fit calibration list of the form [a, b, c] containing the mca calibration time float containing the time or monitor factor to be used in the concentrations if requested. """ self.__fitdone = 0 self.info ={} key = 'legend' if key in kw: self.info[key] = kw[key] else: self.info[key] = 'Unknown Origin' key = 'xlabel' if key in kw: self.info[key] = kw[key] else: self.info[key] = 'X' key = 'xmin' if key in kw: self.info[key] = "%.3f" % kw[key] else: self.info[key] = "????" key = 'xmax' if key in kw: self.info[key] = "%.3f" % kw[key] else: self.info[key] = "????" key = 'sourcename' if key in kw: self.info[key] = "%s" % kw[key] else: self.info[key] = "Unknown Source" key = 'time' if key in kw: self.info[key] = kw[key] else: self.info[key] = None self.__var = var self.__kw = kw try: self.mcafit.setData(*var,**kw) except ValueError: if self.info["time"] is None: if "concentrations" in self.mcafit.config: if self.mcafit.config["concentrations"].get("useautotime", False): if not self.mcafit.config["concentrations"]["usematrix"]: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Information) txt = "No time information associated to spectrum but requested in configuration.\n" txt += "Please correct the acquisition time in your configuration." msg.setText(txt) msg.exec_() self.mcafit.config["concentrations"] ["useautotime"] = 0 kw["time"] = None self.mcafit.setData(*var, **kw) else: raise else: raise else: raise self.info["calibration"] = kw.get('calibration', None) if 'calibration' in kw: if kw['calibration'] is not None: # The condition below gave troubles because it was using the # current calibration even if the x data where actual energies. # if (kw['calibration'] != [0.0,1.0,0.0]): if not self.mcafit.config['detector'].get('ignoreinputcalibration', False): self.mcafit.config['detector']['zero']=kw['calibration'][0] * 1 self.mcafit.config['detector']['gain']=kw['calibration'][1] * 1 if self.configDialog is not None: self.configDialog.setData(self.mcafit.xdata * 1.0, self.mcafit.ydata * 1.0, info=copy.deepcopy(self.info)) if self.concentrationsWidget is not None: if self.mcafit.config["concentrations"].get("useautotime", False): self.concentrationsWidget.setTimeFactor(self.info["time"], signal=False) self.setHeader(text="Fit of %s from %s %s to %s" % (self.info['legend'], self.info['xlabel'], self.info['xmin'], self.info['xmax'])) self._updateTop() self.plot() def setheader(self, *var, **kw): if DEBUG: print("McaAdvancedFit.setheader deprecated, use setHeader instead.") return self.setHeader( *var, **kw) def setHeader(self,*var,**kw): if len(var): text = var[0] elif 'text' in kw: text = kw['text'] elif 'header' in kw: text = kw['header'] else: text = "" self.headerLabel.setText("%s" % text) def fit(self): """ Function called to start the fit process. Interactive use It returns a dictionnary containing the fit results or None in case of unsuccessfull fit. Embedded use In case of successfull fit emits a signal of the form: self.sigMcaAdvancedFitSignal.emit(ddict) where ddict['event'] = 'McaAdvancedFitFinished' """ self.__fitdone = 0 self.mcatable.setRowCount(0) if self.concentrationsWidget is not None: self.concentrationsWidget.concentrationsTable.setRowCount(0) self.diagnosticsWidget.clear() fitconfig = {} fitconfig.update(self.mcafit.configure()) if fitconfig['peaks'] == {}: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Information) msg.setText("No peaks defined.\nPlease configure peaks") msg.exec_() return if DEBUG: if DEBUG: print("calling estimate") self.mcafit.estimate() if DEBUG: print("calling startfit") fitresult,result = self.mcafit.startfit(digest=1) if DEBUG: print("filling table") self.mcatable.fillfrommca(result) if DEBUG: print("finished") elif 1: try: self.mcafit.estimate() thread = CalculationThread.CalculationThread( \ calculation_method = self.mcafit.startfit, calculation_kw = {'digest':1}, expand_vars=True, expand_kw=True) thread.start() CalculationThread.waitingMessageDialog(thread, message = "Calculating Fit", parent=self, modal=True, update_callback=None, frameless=True) threadResult = thread.getResult() if type(threadResult) == type((1,)): if len(threadResult): if threadResult[0] == "Exception": raise Exception(threadResult[1], threadResult[2]) fitresult = threadResult[0] result = threadResult[1] except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Fit error") msg.setText("Error on fit:") msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() return try: #self.mcatable.fillfrommca(self.mcafit.result) self.mcatable.fillfrommca(result) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error filling Table: %s" % (sys.exc_info()[1])) msg.exec_() return else: try: self.mcafit.estimate() threadResult = self._submitThread(self.mcafit.startfit, {'digest':1}, "Calculating Fit", True) if type(threadResult) == type((1,)): if len(threadResult): if threadResult[0] == "Exception": raise Exception(threadResult[1], threadResult[2]) fitresult = threadResult[0] result = threadResult[1] except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Fit error") msg.setText("Error on fit:") msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() return try: #self.mcatable.fillfrommca(self.mcafit.result) self.mcatable.fillfrommca(result) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error filling Table: %s" % (sys.exc_info()[1])) msg.exec_() return dict={} dict['event'] = "McaAdvancedFitFinished" dict['fitresult'] = fitresult dict['result'] = result #I should make a copy but ... self.dict = {} self.dict['info'] = {} self.dict['info'] = self.info.copy() self.dict['result'] = dict['result'] self.__fitdone = 1 # add the matrix spectrum if self.matrixSpectrumButton.isChecked(): self.matrixSpectrum() else: if "Matrix" in self.graph.getAllCurves(just_legend=True): self.graph.removeCurve("Matrix") # clear the Monte Carlo spectra (if any) self._xrfmcMatrixSpectra = None # add the peaks spectrum if self.peaksSpectrumButton.isChecked(): self.peaksSpectrum() else: self.__clearPeaksSpectrum() self.plot() if self.concentrationsWidget is not None: if (str(self.mainTab.tabText(self.mainTab.currentIndex())).upper() == 'CONCENTRATIONS') or \ (self.concentrationsWidget.parent() is None): if not self.concentrationsWidget.isHidden(): if DEBUG: self.concentrations() else: try: self.concentrations() except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Concentrations Error: %s" % (sys.exc_info()[1])) msg.exec_() return if str(self.mainTab.tabText(self.mainTab.currentIndex())).upper() == 'DIAGNOSTICS': try: self.diagnostics() except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Diagnostics Error: %s" % (sys.exc_info()[1])) msg.exec_() return return self.__anasignal(dict) def __anasignal(self, ddict): if type(ddict) != type({}): return if 'event' in ddict: ddict['info'] = {} ddict['info'].update(self.info) self.sigMcaAdvancedFitSignal.emit(ddict) #Simplify interactive usage of the module return ddict def dismiss(self): self.close() def closeEvent(self, event): if self.identifier is not None: self.identifier.close() qt.QWidget.closeEvent(self, event) def _mcaGraphSignalSlot(self, ddict): if ddict['event'] == "FitClicked": self.fit() elif ddict['event'] == "EnergyClicked": self.toggleEnergyAxis() elif ddict['event'] == "SaveClicked": self._saveGraph() elif ddict['event'].lower() in ["mouseclicked", "curveclicked"]: if ddict['button'] == 'left': if self._energyAxis: self.__peakIdentifier(ddict['x']) else: pass return def toggleEnergyAxis(self, dict=None): if self._energyAxis: self._energyAxis = False self.graph.setGraphXLabel('Channel') else: self._energyAxis = True self.graph.setGraphXLabel('Energy') self.plot() def plot(self, ddict=None): if self.graph.isYAxisLogarithmic(): logfilter = 1 else: logfilter = 0 config = self.mcafit.configure() if ddict is None: if not self.__fitdone: #just the data xdata = self.mcafit.xdata * 1.0 if self._energyAxis: xdata = config['detector'] ['zero'] + config['detector'] ['gain'] * xdata if self.mcafit.STRIP: ydata = self.mcafit.ydata + self.mcafit.zz else: ydata = self.mcafit.ydata * 1.0 xdata.shape= [len(xdata),] ydata.shape= [len(ydata),] self.graph.addCurve(xdata, ydata, legend="Data", replot=True, replace=True) self.graph.updateLegends() return else: ddict = self.dict if self._energyAxis: xdata = ddict['result']['energy'][:] else: xdata = ddict['result']['xdata'][:] self.graph.addCurve(xdata, ddict['result']['ydata'], legend="Data", replot=False) self.graph.addCurve(xdata, ddict['result']['yfit'], legend="Fit", replot=False) self.graph.addCurve(xdata, ddict['result']['continuum'], legend="Continuum", replot=False) curveList = self.graph.getAllCurves(just_legend=True) if config['fit']['sumflag']: self.graph.addCurve(xdata, ddict['result']['pileup'] + \ ddict['result']['continuum'], legend="Pile-up", replot=False) elif "Pile-up" in curveList: self.graph.removeCurve("Pile-up", replot=False) if self.matrixSpectrumButton.isChecked(): if 'ymatrix' in ddict['result']: self.graph.addCurve(xdata, ddict['result']['ymatrix'], legend="Matrix") else: self.graph.removeCurve("Matrix") else: self.graph.removeCurve("Matrix") if self._xrfmcMatrixSpectra is not None: if len(self._xrfmcMatrixSpectra): if self._energyAxis: mcxdata = self._xrfmcMatrixSpectra[1] else: mcxdata = self._xrfmcMatrixSpectra[0] mcydata0 = self._xrfmcMatrixSpectra[2] mcydatan = self._xrfmcMatrixSpectra[-1] self.graph.addCurve(mcxdata, mcydata0, legend='MC Matrix 1', replot=False) self.graph.addCurve(mcxdata, mcydatan, legend='MC Matrix %d' % (len(self._xrfmcMatrixSpectra) - 2), replot=False) if self.peaksSpectrumButton.isChecked(): keep = ['Data','Fit','Continuum','Matrix','Pile-up'] for group in ddict['result']['groups']: keep += ['y'+group] for key in curveList: if key not in keep: if key.startswith('MC Matrix'): if self._xrfmcMatrixSpectra in [None, []]: self.graph.removeCurve(key) else: self.graph.removeCurve(key) for group in ddict['result']['groups']: label = 'y'+group if label in ddict['result']: self.graph.addCurve(xdata, ddict['result'][label], legend=label, replot=False) else: if group in curveList: self.graph.removeCurve(label, replot=False) else: self.__clearPeaksSpectrum() self.graph.replot() self.graph.updateLegends() def _saveGraph(self, dict=None): curves = self.graph.getAllCurves() if not len(curves): return if not self.__fitdone: if False: # just save the data ? # just save data plus strip background if any? # for the time being just force to have the fit pass else: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) text = "Sorry, You need to perform a fit first.\n" msg.setText(text) msg.exec_() return if dict is None: #everything fitresult = self.dict else: fitresult = dict xdata = fitresult['result']['xdata'] # energy = fitresult['result']['energy'] # ydata = fitresult['result']['ydata'] # yfit = fitresult['result']['yfit'] # continuum = fitresult['result']['continuum'] # pileup = fitresult['result']['pileup'] # savelist = ['xdata', 'energy','ydata','yfit','continuum','pileup'] # parNames = fitresult['result']['parameters'] # parFit = fitresult['result']['fittedpar'] # parSigma = fitresult['result']['sigmapar'] #still to add the MC matrix spectrum # The Monte Carlo generated spectra # I assume the calibration is the same MCLabels, MCSpectra = self._getXRFMCLabelsAndSpectra(limits=\ (fitresult['result']['xdata'][0], fitresult['result']['xdata'][-1])) if MCLabels is not None: if MCSpectra[2].size != fitresult['result']['xdata'].size: print("Monte Carlo Spectra not saved: Wrong spectrum length.") MCLabels = None MCSpectra = None #get outputfile outfile = qt.QFileDialog(self) outfile.setModal(1) if self.lastInputDir is None: self.lastInputDir = PyMcaDirs.outputDir outfile.setWindowTitle("Output File Selection") if hasattr(qt, "QStringList"): strlist = qt.QStringList() else: strlist = [] format_list = ['Specfile MCA *.mca', 'Specfile Scan *.dat', 'Raw ASCII *.txt', '";"-separated CSV *.csv', '","-separated CSV *.csv', '"tab"-separated CSV *.csv', 'Graphics PNG *.png', 'Graphics EPS *.eps', 'Graphics SVG *.svg'] if not self.peaksSpectrumButton.isChecked(): format_list.append('B/WGraphics PNG *.png') format_list.append('B/WGraphics EPS *.eps') format_list.append('B/WGraphics SVG *.svg') for f in format_list: strlist.append(f) if hasattr(outfile, "setFilters"): outfile.setFilters(strlist) else: outfile.setNameFilters(strlist) outfile.setFileMode(outfile.AnyFile) outfile.setAcceptMode(qt.QFileDialog.AcceptSave) outfile.setDirectory(self.lastInputDir) ret = outfile.exec_() if ret: if hasattr(outfile, "selectedFilter"): filterused = qt.safe_str(outfile.selectedFilter()).split() else: filterused = qt.safe_str(outfile.selectedNameFilter()).split() filedescription = filterused[0] filetype = filterused[1] extension = filterused[2] outstr = qt.safe_str(outfile.selectedFiles()[0]) try: outputDir = os.path.dirname(outstr) self.lastInputDir = outputDir PyMcaDirs.outputDir = outputDir except: outputDir = "." #self.outdir = outputDir try: outputFile = os.path.basename(outstr) except: outputFile = outstr outfile.close() del outfile else: # pyflakes bug http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=666494 outfile.close() del outfile return #always overwrite for the time being if len(outputFile) < len(extension[1:]): outputFile += extension[1:] elif outputFile[-4:] != extension[1:]: outputFile += extension[1:] specFile = os.path.join(outputDir, outputFile) try: os.remove(specFile) except: pass systemline = os.linesep os.linesep = '\n' try: if MATPLOTLIB: if filetype in ['EPS', 'PNG', 'SVG']: size = (7, 3.5) #in inches logy = self.graph.isYAxisLogarithmic() if filedescription == "B/WGraphics": bw = True else: bw = False if self.peaksSpectrumButton.isChecked(): legends = True elif 'ymatrix' in fitresult['result'].keys(): legends = False else: legends = False if self.matplotlibDialog is None: self.matplotlibDialog = QPyMcaMatplotlibSave1D.\ QPyMcaMatplotlibSaveDialog(size=size, logy=logy, legends=legends, bw = bw) mtplt = self.matplotlibDialog.plot mtplt.setParameters({'logy':logy, 'legends':legends, 'bw':bw}) """ mtplt = PyMcaMatplotlibSave.PyMcaMatplotlibSave(size=size, logy=logy, legends=legends, bw = bw) self.matplotlibDialog = None """ if self._energyAxis: x = fitresult['result']['energy'] else: x = fitresult['result']['xdata'] xmin, xmax = self.graph.getGraphXLimits() ymin, ymax = self.graph.getGraphYLimits() mtplt.setLimits(xmin, xmax, ymin, ymax) index = numpy.nonzero((xmin <= x) & (x <= xmax))[0] x = numpy.take(x, index) if bw: mtplt.addDataToPlot( x, numpy.take(fitresult['result']['ydata'],index), legend='data', color='k',linestyle=':', linewidth=1.5, markersize=3) else: mtplt.addDataToPlot( x, numpy.take(fitresult['result']['ydata'],index), legend='data', linewidth=1) mtplt.addDataToPlot( x, numpy.take(fitresult['result']['yfit'],index), legend='fit', linewidth=1.5) if not self.peaksSpectrumButton.isChecked(): mtplt.addDataToPlot( x, numpy.take(fitresult['result']['continuum'],index), legend='bck', linewidth=1.5) if self.top.sumbox.isChecked(): mtplt.addDataToPlot( x, numpy.take(fitresult['result']['pileup']+\ fitresult['result']['continuum'],index), legend="pile up", linewidth=1.5) if 'ymatrix' in fitresult['result'].keys(): mtplt.addDataToPlot( x, numpy.take(fitresult['result']['ymatrix'],index), legend='matrix', linewidth=1.5) if self._xrfmcMatrixSpectra is not None: if len(self._xrfmcMatrixSpectra): if self._energyAxis: mcxdata = self._xrfmcMatrixSpectra[1] else: mcxdata = self._xrfmcMatrixSpectra[0] mcindex = numpy.nonzero((xmin <= mcxdata) & (mcxdata <= xmax))[0] mcxdatax = numpy.take(mcxdata, mcindex) mcydata0 = numpy.take(self._xrfmcMatrixSpectra[2], mcindex) mcydatan = numpy.take(self._xrfmcMatrixSpectra[-1], mcindex) mtplt.addDataToPlot(mcxdatax, mcydata0, legend='MC Matrix 1', linewidth=1.5) mtplt.addDataToPlot(mcxdatax, mcydatan, legend='MC Matrix %d' % (len(self._xrfmcMatrixSpectra) - 2), linewidth=1.5) if self.peaksSpectrumButton.isChecked(): for group in fitresult['result']['groups']: label = 'y'+group if label in fitresult['result'].keys(): mtplt.addDataToPlot( x, numpy.take(fitresult['result'][label],index), legend=group, linewidth=1.5) if self._energyAxis: mtplt.setXLabel('Energy (keV)') else: mtplt.setXLabel('Channel') mtplt.setYLabel('Counts') mtplt.plotLegends() if self.matplotlibDialog is not None: ret = self.matplotlibDialog.exec_() if ret == qt.QDialog.Accepted: mtplt.saveFile(specFile) else: mtplt.saveFile(specFile) return except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setInformativeText("Matplotlib or Input Output Error: %s" \ % (sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() return try: if sys.version < "3.0": file = open(specFile, 'wb') else: file = open(specFile, 'w', newline='') except IOError: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Input Output Error: %s" % (sys.exc_info()[1])) msg.exec_() return try: if filetype == 'ASCII': keys = fitresult['result'].keys() for i in range(len(fitresult['result']['ydata'])): file.write("%.7g %.7g %.7g %.7g %.7g %.7g" % (fitresult['result']['xdata'][i], fitresult['result']['energy'][i], fitresult['result']['ydata'][i], fitresult['result']['yfit'][i], fitresult['result']['continuum'][i], fitresult['result']['pileup'][i])) if 'ymatrix' in fitresult['result'].keys(): file.write(" %.7g" % fitresult['result']['ymatrix'][i]) if MCLabels is not None: for nInteractions in range(2, len(MCLabels)): file.write(" %.7g" % MCSpectra[nInteractions][i]) for group in fitresult['result']['groups']: label = 'y'+group if label in keys: file.write(" %.7g" % fitresult['result'][label][i]) file.write("\n") file.close() return if filetype == 'CSV': if "," in filterused[0]: csv = "," elif ";" in filterused[0]: csv = ";" else: csv = "\t" keys = fitresult['result'].keys() headerLine = '"channel"%s"Energy"%s"counts"%s"fit"%s"continuum"%s"pileup"' % (csv, csv, csv, csv, csv) if 'ymatrix' in keys: headerLine += '%s"ymatrix"' % csv if MCLabels is not None: for nLabel in range(2, len(MCLabels)): headerLine += csv+ ('"%s"' % MCLabels[nLabel]) for group in fitresult['result']['groups']: label = 'y'+group if label in keys: headerLine += csv+ ('"%s"' % group) file.write(headerLine) file.write('\n') for i in range(len(fitresult['result']['ydata'])): file.write("%.7g%s%.7g%s%.7g%s%.7g%s%.7g%s%.7g" % (fitresult['result']['xdata'][i], csv, fitresult['result']['energy'][i], csv, fitresult['result']['ydata'][i], csv, fitresult['result']['yfit'][i], csv, fitresult['result']['continuum'][i], csv, fitresult['result']['pileup'][i])) if 'ymatrix' in fitresult['result'].keys(): file.write("%s%.7g" % (csv,fitresult['result']['ymatrix'][i])) if MCLabels is not None: for nInteractions in range(2, len(MCLabels)): file.write("%s%.7g" % (csv,MCSpectra[nInteractions][i])) for group in fitresult['result']['groups']: label = 'y'+group if label in keys: file.write("%s%.7g" % (csv,fitresult['result'][label][i])) file.write("\n") file.close() return #header is almost common to specfile and mca file.write("#F %s\n" % specFile) file.write("#D %s\n"%(time.ctime(time.time()))) file.write("\n") legend = str(self.headerLabel.text()).strip('<b>') legend.strip('<\b>') file.write("#S 1 %s\n" % legend) file.write("#D %s\n"%(time.ctime(time.time()))) i = 0 for parameter in fitresult['result']['parameters']: file.write("#U%d %s %.7g +/- %.3g\n" % (i, parameter, fitresult['result']['fittedpar'][i], fitresult['result']['sigmapar'][i])) i+=1 if filetype == 'Scan': keys = fitresult['result'].keys() labelline= "#L channel Energy counts fit continuum pileup" if 'ymatrix' in keys: nlabels = 7 labelline += "ymatrix" else: nlabels = 6 if MCLabels is not None: for nLabel in range(2, len(MCLabels)): nlabels += 1 labelline += ' '+ MCLabels[nLabel] for group in fitresult['result']['groups']: label = 'y'+group if label in keys: nlabels += 1 labelline += ' '+group file.write("#N %d\n" % nlabels) file.write(labelline) file.write("\n") for i in range(len(fitresult['result']['ydata'])): file.write("%.7g %.7g %.7g %.7g %.7g %.7g" % (fitresult['result']['xdata'][i], fitresult['result']['energy'][i], fitresult['result']['ydata'][i], fitresult['result']['yfit'][i], fitresult['result']['continuum'][i], fitresult['result']['pileup'][i])) if 'ymatrix' in keys: file.write(" %.7g" % fitresult['result']['ymatrix'][i]) if MCLabels is not None: for nInteractions in range(2, len(MCLabels)): file.write(" %.7g" % MCSpectra[nInteractions][i]) for group in fitresult['result']['groups']: label = 'y'+group if label in keys: file.write(" %.7g" % fitresult['result'][label][i]) file.write("\n") else: file.write("#@MCA %16C\n") file.write("#@CHANN %d %d %d 1\n" % (len(fitresult['result']['ydata']), fitresult['result']['xdata'][0], fitresult['result']['xdata'][-1])) zeroindex = fitresult['result']['parameters'].index('Zero') gainindex = fitresult['result']['parameters'].index('Gain') file.write("#@CALIB %.7g %.7g 0.0\n" % (fitresult['result']['fittedpar'][zeroindex], fitresult['result']['fittedpar'][gainindex])) file.write(self.array2SpecMca(fitresult['result']['ydata'])) file.write(self.array2SpecMca(fitresult['result']['yfit'])) file.write(self.array2SpecMca(fitresult['result']['continuum'])) file.write(self.array2SpecMca(fitresult['result']['pileup'])) keys = fitresult['result'].keys() if 'ymatrix' in keys: file.write(self.array2SpecMca(fitresult['result']['ymatrix'])) # The Monte Carlo generated spectra # I assume the calibration is the same if MCLabels is not None: for i in range(2, len(MCLabels)): file.write(self.array2SpecMca(MCSpectra[i])) for group in fitresult['result']['groups']: label = 'y'+group if label in keys: file.write(self.array2SpecMca(fitresult['result'][label])) file.write("\n") file.close() except: os.linesep = systemline raise return def _getXRFMCLabelsAndSpectra(self, limits=None): labels = None spectra = None if self._xrfmcMatrixSpectra is not None: if len(self._xrfmcMatrixSpectra): labels = [] spectra = [] labels.append("channels") data = self._xrfmcMatrixSpectra[0] if limits: idx = numpy.nonzero((data >= limits[0]) & \ (data <= limits[1]))[0] data = data[idx] spectra.append(data) labels.append("energy") data = self._xrfmcMatrixSpectra[1] if limits: data = data[idx] spectra.append(data) for i in range(2, len(self._xrfmcMatrixSpectra)): labels.append("MC Matrix %d" % (i - 1)) data = self._xrfmcMatrixSpectra[i] if limits: data = data[idx] spectra.append(data) return labels, spectra def array2SpecMca(self, data): """ Write a python array into a Spec array. Return the string containing the Spec array """ tmpstr = "@A " length = len(data) for idx in range(0, length, 16): if idx+15 < length: for i in range(0,16): tmpstr += "%.4f " % data[idx+i] if idx+16 != length: tmpstr += "\\" else: for i in range(idx, length): tmpstr += "%.4f " % data[i] tmpstr += "\n" return tmpstr class Top(qt.QWidget): sigTopSignal = qt.pyqtSignal(object) def __init__(self,parent = None,name = None,fl = 0): qt.QWidget.__init__(self,parent) self.mainLayout= qt.QHBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self.build() def build(self): self.__w=qt.QWidget(self) w = self.__w self.mainLayout.addWidget(w) wlayout = qt.QGridLayout(w) wlayout.setSpacing(5) #function FunLabel = qt.QLabel(w) FunLabel.setText(str("Function")) if QTVERSION < '4.0.0': self.FunComBox = qt.QComboBox(0,w,"FunComBox") self.FunComBox.insertStrList(["Mca Hypermet"]) self.FunComBox.insertStrList(["Mca Pseudo-Voigt"]) else: self.FunComBox = qt.QComboBox(w) self.FunComBox.insertItem(0, "Mca Hypermet") self.FunComBox.insertItem(1, "Mca Pseudo-Voigt") wlayout.addWidget(FunLabel,0,0) wlayout.addWidget(self.FunComBox,0,1) #background BkgLabel = qt.QLabel(w) BkgLabel.setText(str("Background")) if QTVERSION < '4.0.0': self.BkgComBox = qt.QComboBox(0,w,"BkgComBox") self.BkgComBox.insertStrList(['No Background', 'Constant', 'Linear', 'Parabolic', 'Linear Polynomial', 'Exp. Polynomial']) else: self.BkgComBox = qt.QComboBox(w) options = ['No Background', 'Constant', 'Linear', 'Parabolic', 'Linear Polynomial', 'Exp. Polynomial'] for item in options: self.BkgComBox.insertItem(options.index(item), item) self.FunComBox.activated[int].connect(self.mysignal) self.BkgComBox.activated[int].connect(self.mysignal) wlayout.addWidget(BkgLabel,1,0) wlayout.addWidget(self.BkgComBox,1,1) dummy = qt.QWidget(self) dummy.setMinimumSize(20,0) self.mainLayout.addWidget(dummy) self.mainLayout.addWidget(qt.HorizontalSpacer(self)) #the checkboxes if 0: w1 = qt.QVBox(self) self.WeightCheckBox = qt.QCheckBox(w1) self.WeightCheckBox.setText(str("Weight")) self.McaModeCheckBox = qt.QCheckBox(w1) self.McaModeCheckBox.setText(str("Mca Mode")) # Flags f = qt.QWidget(self) self.mainLayout.addWidget(f) f.layout= qt.QGridLayout(f) f.layout.setSpacing(5) flagsoffset = -1 coffset = 0 #hyplabel = qt.QLabel(f) #hyplabel.setText(str("<b>%s</b>" % 'FLAGS')) self.stbox = qt.QCheckBox(f) self.stbox.setText('Short Tail') self.ltbox = qt.QCheckBox(f) self.ltbox.setText('Long Tail') self.stepbox = qt.QCheckBox(f) self.stepbox.setText('Step Tail') self.escapebox = qt.QCheckBox(f) self.escapebox.setText('Escape') self.sumbox = qt.QCheckBox(f) self.sumbox.setText('Pile-up') self.stripbox = qt.QCheckBox(f) self.stripbox.setText('Strip Back.') #checkbox connections self.stbox.clicked.connect(self.mysignal) self.ltbox.clicked.connect(self.mysignal) self.stepbox.clicked.connect(self.mysignal) self.escapebox.clicked.connect(self.mysignal) self.sumbox.clicked.connect(self.mysignal) self.stripbox.clicked.connect(self.mysignal) #f.layout.addWidget(hyplabel,flagsoffset,coffset +1) f.layout.addWidget(self.stbox,flagsoffset+1,coffset +0) f.layout.addWidget(self.ltbox,flagsoffset+1,coffset +1) f.layout.addWidget(self.stepbox,flagsoffset+1,coffset +2) f.layout.addWidget(self.escapebox,flagsoffset+2,coffset +0) f.layout.addWidget(self.sumbox,flagsoffset+2,coffset +1) f.layout.addWidget(self.stripbox,flagsoffset+2,coffset +2) self.mainLayout.addWidget(qt.HorizontalSpacer(self)) #buttons g = qt.QWidget(self) self.mainLayout.addWidget(g) glayout = qt.QGridLayout(g) glayout.setSpacing(5) self.configureButton = qt.QPushButton(g) self.configureButton.setText(str("Configure")) self.printButton = qt.QPushButton(g) self.printButton.setText(str("Tools")) glayout.addWidget(self.configureButton,0,0) glayout.addWidget(self.printButton,1,0) def setParameters(self,ddict=None): if ddict == None: ddict = {} hypermetflag = ddict.get('hypermetflag', 1) if not ('fitfunction' in ddict): if hypermetflag: ddict['fitfunction'] = 0 else: ddict['fitfunction'] = 1 self.FunComBox.setCurrentIndex(ddict['fitfunction']) if 'hypermetflag' in ddict: hypermetflag = ddict['hypermetflag'] if ddict['fitfunction'] == 0: # g_term = hypermetflag & 1 st_term = (hypermetflag >>1) & 1 lt_term = (hypermetflag >>2) & 1 step_term = (hypermetflag >>3) & 1 self.stbox.setEnabled(1) self.ltbox.setEnabled(1) self.stepbox.setEnabled(1) if st_term: self.stbox.setChecked(1) else: self.stbox.setChecked(0) if lt_term: self.ltbox.setChecked(1) else: self.ltbox.setChecked(0) if step_term: self.stepbox.setChecked(1) else: self.stepbox.setChecked(0) else: self.stbox.setEnabled(0) self.ltbox.setEnabled(0) self.stepbox.setEnabled(0) key = 'sumflag' if key in ddict: if ddict[key] == 1: self.sumbox.setChecked(1) else: self.sumbox.setChecked(0) key = 'stripflag' if key in ddict: if ddict[key] == 1: self.stripbox.setChecked(1) else: self.stripbox.setChecked(0) key = 'escapeflag' if key in ddict: if ddict[key] == 1: self.escapebox.setChecked(1) else: self.escapebox.setChecked(0) key = 'continuum' if key in ddict: if QTVERSION < '4.0.0': self.BkgComBox.setCurrentItem(ddict[key]) else: self.BkgComBox.setCurrentIndex(ddict[key]) def getParameters(self): ddict={} index = self.FunComBox.currentIndex() ddict['fitfunction'] = index ddict['hypermetflag'] = 1 if index == 0: self.stbox.setEnabled(1) self.ltbox.setEnabled(1) self.stepbox.setEnabled(1) else: ddict['hypermetflag'] = 0 self.stbox.setEnabled(0) self.ltbox.setEnabled(0) self.stepbox.setEnabled(0) if self.stbox.isChecked(): ddict['hypermetflag'] += 2 if self.ltbox.isChecked(): ddict['hypermetflag'] += 4 if self.stepbox.isChecked(): ddict['hypermetflag'] += 8 if self.sumbox.isChecked(): ddict['sumflag'] = 1 else: ddict['sumflag'] = 0 if self.stripbox.isChecked(): ddict['stripflag'] = 1 else: ddict['stripflag'] = 0 if self.escapebox.isChecked(): ddict['escapeflag'] = 1 else: ddict['escapeflag'] = 0 if QTVERSION < '4.0.0': ddict['continuum'] = self.BkgComBox.currentItem() else: ddict['continuum'] = self.BkgComBox.currentIndex() return ddict def mysignal(self, *var): ddict = self.getParameters() self.sigTopSignal.emit(ddict) class Line(qt.QFrame): sigLineDoubleClickEvent = qt.pyqtSignal(object) def __init__(self, parent=None, name="Line", fl=0, info=None): qt.QFrame.__init__(self, parent) self.info = info self.setFrameShape(qt.QFrame.HLine) self.setFrameShadow(qt.QFrame.Sunken) self.setFrameShape(qt.QFrame.HLine) def mouseDoubleClickEvent(self, event): if DEBUG: print("Double Click Event") ddict={} ddict['event']="DoubleClick" ddict['data'] = event ddict['info'] = self.info self.sigLineDoubleClickEvent.emit(ddict) class SimpleThread(qt.QThread): def __init__(self, function = None, kw = None): if kw is None: kw={} qt.QThread.__init__(self) self._function = function self._kw = kw self._result = None self._expandParametersDict = False def run(self): try: if self._expandParametersDict: self._result = self._function(**self._kw) else: self._result = self._function(self._kw) except: self._result = ("Exception",) + sys.exc_info() class McaGraphWindow(PlotWindow.PlotWindow): def __init__(self, parent=None, backend=None, plugins=False, newplot=False, position=True, control=True, **kw): super(McaGraphWindow, self).__init__(parent, backend=backend, plugins=plugins, newplot=newplot, energy=True, roi=True, logx=False, fit=True, position=position, control=control, **kw) self.setDataMargins(0, 0, 0.025, 0.025) self.setPanWithArrowKeys(True) self.printPreview = PyMcaPrintPreview.PyMcaPrintPreview(modal = 0) self.setGraphYLabel("Counts") if self.energyButton.isChecked(): self.setGraphXLabel("Energy") else: self.setGraphXLabel("Channel") def printGraph(self): pixmap = qt.QPixmap.grabWidget(self.getWidgetHandle()) self.printPreview.addPixmap(pixmap) if self.printPreview.isHidden(): self.printPreview.show() self.printPreview.raise_() def _energyIconSignal(self): legend = self.getActiveCurve(just_legend=True) ddict={} ddict['event'] = 'EnergyClicked' ddict['active'] = legend self.sigPlotSignal.emit(ddict) def _fitIconSignal(self): legend = self.getActiveCurve(just_legend=True) ddict={} ddict['event'] = 'FitClicked' ddict['active'] = legend self.sigPlotSignal.emit(ddict) def _saveIconSignal(self): legend = self.getActiveCurve(just_legend=True) ddict={} ddict['event'] = 'SaveClicked' ddict['active'] = legend self.sigPlotSignal.emit(ddict) def setActiveCurve(self, legend, replot=True): super(McaGraphWindow, self).setActiveCurve(legend, replot=False) self.setGraphYLabel("Counts") if self.energyButton.isChecked(): self.setGraphXLabel("Energy") else: self.setGraphXLabel("Channel") if replot: self.replot() def test(ffile='03novs060sum.mca', cfg=None): from PyMca5.PyMcaIO import specfilewrapper as specfile app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) sf=specfile.Specfile(ffile) scan=sf[-1] nMca = scan.nbmca() mcadata=scan.mca(nMca) y0= numpy.array(mcadata) x = numpy.arange(len(y0))*1.0 demo = McaAdvancedFit() #This illustrates how to change the configuration #oldConfig = demo.configure() #oldConfig['fit']['xmin'] = 123 #demo.configure(oldConfig) if cfg is not None: d = ConfigDict.ConfigDict() d.read(cfg) demo.configure(d) d = None xmin = demo.mcafit.config['fit']['xmin'] xmax = demo.mcafit.config['fit']['xmax'] demo.setData(x,y0,xmin=xmin,xmax=xmax,sourcename=ffile) demo.show() app.exec_() def main(): app = qt.QApplication([]) form = McaAdvancedFit(top=False) form.show() sys.exit(app.exec_()) if __name__ == "__main__": if len(sys.argv) >1: ffile = sys.argv[1] else: ffile = '03novs060sum.mca' if len(sys.argv) > 2: cfg = sys.argv[2] else: cfg = None if os.path.exists(ffile): test(ffile, cfg) else: main() �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/FitPeakSelect.py�������������������������������������������0000644�0002763�0000175�00000042775�13136054446�023042� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import copy from . import EnergyTable from PyMca5.PyMcaPhysics import Elements from .QPeriodicTable import QPeriodicTable from PyMca5.PyMcaGui import PyMcaQt as qt DEBUG = 0 QTVERSION = qt.qVersion() ElementList = Elements.ElementList __revision__ = "$Revision: 1.12 $" class PeakButton(qt.QPushButton): sigPeakClicked = qt.pyqtSignal(str) def __init__(self, parent, peak): qt.QPushButton.__init__(self, parent) #, peak) self.peak= peak font= self.font() font.setBold(1) self.setText(peak) self.setFlat(1) if QTVERSION < '4.0.0': self.setToggleButton(0) self.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Expanding, qt.QSizePolicy.Expanding)) self.selected= 0 self.brush= qt.QBrush(qt.QColor(qt.Qt.yellow)) self.clicked.connect(self.clickedSlot) def toggle(self): self.selected= not self.selected self.update() def setSelected(self, b): self.selected= b if b: role = self.backgroundRole() palette = self.palette() palette.setBrush( role,self.brush) self.setPalette(palette) else: role = self.backgroundRole() palette = self.palette() palette.setBrush( role, qt.QBrush()) self.setPalette(palette) self.update() def isSelected(self): return self.selected def clickedSlot(self): self.toggle() self.sigPeakClicked.emit(self.peak) def paintEvent(self, pEvent): p = qt.QPainter(self) wr= self.rect() pr= qt.QRect(wr.left()+1, wr.top()+1, wr.width()-2, wr.height()-2) if self.selected: p.fillRect(pr, self.brush) p.setPen(qt.Qt.black) if hasattr(p, "drawRoundRect"): p.drawRoundRect(pr) else: p.drawRoundedRect(pr, 1., 1., qt.Qt.RelativeSize) p.end() qt.QPushButton.paintEvent(self, pEvent) def drawButton(self, p): wr= self.rect() pr= qt.QRect(wr.left()+1, wr.top()+1, wr.width()-2, wr.height()-2) if self.selected: p.fillRect(pr, self.brush) qt.QPushButton.drawButtonLabel(self, p) p.setPen(qt.Qt.black) p.drawRoundRect(pr) class PeakButtonList(qt.QWidget): # emitted object is a list sigSelectionChanged = qt.pyqtSignal(object) def __init__(self, parent=None, name="PeakButtonList", peaklist=['K','Ka','Kb','L','L1','L2','L3','M'], fl=0): qt.QWidget.__init__(self,parent) self.peaklist = peaklist if QTVERSION < '4.0.0': layout= qt.QHBoxLayout(self, 0, 5) else: layout= qt.QHBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(5) #, 0, 5) layout.addStretch(2) self.buttondict={} for key in peaklist: self.buttondict[key] = PeakButton(self, key) layout.addWidget(self.buttondict[key]) self.buttondict[key].sigPeakClicked.connect(self.__selection) layout.addStretch(1) #Reset self.resetBut = qt.QPushButton(self) self.resetBut.setText("Reset") layout.addWidget(self.resetBut) self.resetBut.clicked.connect(self.__resetBut) layout.addStretch(2) def __resetBut(self): for key in self.peaklist: self.buttondict[key].setSelected(0) self.sigSelectionChanged.emit([]) def __selection(self, peak): selection= [] for key in self.peaklist: if self.buttondict[key].isSelected(): selection.append(key) self.sigSelectionChanged.emit(selection) def setSelection(self, selection=[]): for key in self.peaklist: if key in selection: self.buttondict[key].setSelected(1) else: self.buttondict[key].setSelected(0) def setDisabled(self,selection=[]): for key in self.peaklist: if key in selection: self.buttondict[key].setEnabled(0) else: self.buttondict[key].setEnabled(1) class FitPeakSelect(qt.QWidget): sigFitPeakSelect = qt.pyqtSignal(object) def __init__(self, parent=None, name="FitPeakSelect", peakdict = {}, energyTable=None): qt.QWidget.__init__(self,parent) layout=qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(10) hbox = qt.QWidget(self) hboxLayout = qt.QHBoxLayout(hbox) hboxLayout.setContentsMargins(0, 0, 0, 0) hboxLayout.setSpacing(20) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) l1=MyQLabel(hbox, bold=True, color=qt.QColor(0,0,0)) hboxLayout.addWidget(l1) self.energyValue = None if energyTable is not None: text = '<b><nobr>Excitation Energy (keV)</nobr></b>' l1.setFixedWidth(l1.fontMetrics().width("##"+text+"####")) l1.setText(text) self.energyTable = energyTable add = 0 self.energy = MyQLabel(hbox) hboxLayout.addWidget(self.energy) self.energy.setFixedWidth(self.energy.fontMetrics().width('########.###')) self.energy.setAlignment(qt.Qt.AlignLeft) #self.energy.setForegroundColor(qt.Qt.red) else: l1.setText('<b><nobr>Excitation Energy (keV)</nobr></b>') self.energyTable = EnergyTable.EnergyTable(self) add = 1 self.energy = qt.QLineEdit(hbox) hboxLayout.addWidget(self.energy) self.energy.setFixedWidth(self.energy.fontMetrics().width('########.###')) self.energyButton = qt.QPushButton(hbox) hboxLayout.addWidget(self.energyButton) self.energyButton.setText("Update") self.energyButton.clicked.connect(self._energyClicked) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) layout.addSpacing(20) layout.addWidget(hbox) self.table = QPeriodicTable(self) line= qt.QFrame(self) line.setFrameShape(qt.QFrame.HLine) line.setFrameShadow(qt.QFrame.Sunken) self.peaks = PeakButtonList(self) self.peaks.setDisabled(['K','Ka','Kb','L','L1','L2','L3','M']) self.energyTable.sigEnergyTableSignal.connect(self._energyTableAction) self.table.sigElementClicked.connect(self.elementClicked) self.peaks.sigSelectionChanged.connect(self.peakSelectionChanged) #Reset All self.resetAllButton = qt.QPushButton(self.peaks) palette = qt.QPalette(self.resetAllButton.palette()) role = self.resetAllButton.foregroundRole() palette.setColor(role, qt.Qt.red) self.resetAllButton.setPalette(palette) self.resetAllButton.setText("Reset All") self.peaks.layout().addWidget(self.resetAllButton) self.resetAllButton.clicked.connect(self.__resetAll) layout.addWidget(self.table) layout.addWidget(line) layout.addWidget(self.peaks) if add:layout.addWidget(self.energyTable) layout.addStretch(1) self.current= None self.setSelection(peakdict) def __resetAll(self): msg=qt.QMessageBox.warning( self, "Clear selection", "Do you want to reset the selection for all elements?", qt.QMessageBox.Yes,qt.QMessageBox.No) if msg == qt.QMessageBox.No: return self.peakdict = {} self.table.setSelection(list(self.peakdict.keys())) self.peaks.setSelection([]) self.peakSelectionChanged([]) def __getZ(self,element): return ElementList.index(element) + 1 def setSelection(self,peakdict): self.peakdict = {} self.peakdict.update(peakdict) for key in list(self.peakdict.keys()): if type(self.peakdict[key])!= type([]): self.peakdict[key]= [ self.peakdict[key] ] self.table.setSelection(list(self.peakdict.keys())) def getSelection(self): ddict={} for key in list(self.peakdict.keys()): if len(self.peakdict[key]): ddict[key]= self.peakdict[key] return ddict def peakSelectionChanged(self,selection): if self.current is None: return if type(selection) != type([]): selection=selection.list self.peakdict[self.current] = selection if len(self.peakdict[self.current]): self.table.setElementSelected(self.current,1) else: self.table.setElementSelected(self.current,0) sel= self.getSelection() sel['current'] = self.current self.sigFitPeakSelect.emit((sel)) def elementClicked(self,symbol): if QTVERSION > '4.0.0':symbol = str(symbol) if not (symbol in self.peakdict): self.peakdict[symbol] = [] self.current = symbol if len(self.peakdict[self.current]): self.table.setElementSelected(self.current,1) else: self.table.setElementSelected(self.current,0) for ele in list(self.peakdict.keys()): if ele != symbol: if not len(self.peakdict[ele]): del self.peakdict[ele] sel= self.getSelection() sel['current'] = self.current self.setPeaksDisabled(symbol) self.sigFitPeakSelect.emit((sel)) self.peaks.setSelection(self.peakdict[symbol]) def setPeaksDisabled(self,symbol): z = self.__getZ(symbol) if (z > 47) and (Elements.getomegam5('Cd') > 0.0): #we have data available to support that disabled = [] elif z > 66: #self.peaks.setDisabled(['Ka','Kb']) #disabled = ['Ka','Kb'] disabled = [] elif z > 17: #self.peaks.setDisabled(['Ka','Kb','M']) #disabled = ['Ka','Kb','M'] disabled = ['M'] elif z > 2: #self.peaks.setDisabled(['Ka','Kb','L','L1','L2','L3','M']) #disabled = ['Ka','Kb','L','L1','L2','L3','M'] disabled = ['L','L1','L2','L3','M'] else: #self.peaks.setDisabled(['K','Ka','Kb','L','L1','L2','L3','M']) #disabled = ['Ka','Kb','L','L1','L2','L3','M'] disabled = ['Ka', 'Kb','L','L1','L2','L3','M'] ele = symbol if self.energyValue is not None: for peak in ['K', 'Ka', 'Kb', 'L','L1','L2','L3','M']: if peak not in disabled: if peak == 'L': if Elements.Element[ele]['binding']['L3'] > self.energyValue: disabled.append(peak) elif peak == 'M': if Elements.Element[ele]['binding']['M5'] > self.energyValue: disabled.append(peak) elif peak == 'Ka': if Elements.Element[ele]['binding']['K'] > self.energyValue: disabled.append(peak) elif peak == 'Kb': if Elements.Element[ele]['binding']['K'] > self.energyValue: disabled.append(peak) elif Elements.Element[ele]['binding'][peak] > self.energyValue: disabled.append(peak) else: pass self.peaks.setDisabled(disabled) def setEnergy(self, energy): if (energy is None) or (energy == []): self.energyValue = energy self.energy.setText("None") elif energy == "None": self.energyValue = None self.energy.setText("None") elif type(energy) == type([]): self.energyValue = max(energy) else: self.energyValue = energy self.energy.setText("%.4f" % energy) self._energyClicked() def _energyTableAction(self, ddict): if DEBUG: print("_energyTableAction called",) print("ddict = ",ddict.dict) elist, wlist, flist, slist= self.energyTable.getParameters() maxenergy = 0.0 for i in range(len(flist)): if flist[i]: if elist[i] is not None: if wlist[i] > 0.0: if elist[i] > maxenergy: maxenergy = elist[i] if maxenergy == 0.0:maxenergy = None self.setEnergy(maxenergy) def _energyClicked(self): string = str(self.energy.text()) string.replace(" ","") if (string != "None") and len(string): try: value = float(string) self.energyValue = value if False: self.energyButton.setFocus() except: msg=qt.QMessageBox(self.energy) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") msg.exec_loop() self.energy.setFocus() else: self.energyValue = None if False: self.energyButton.setFocus() self.__updateSelection() def __updateSelection(self): if self.energyValue is not None: for ele in list(self.peakdict.keys()): for peak in self.peakdict[ele]: if peak in self.peakdict[ele]: index = self.peakdict[ele].index(peak) if peak == 'L': if Elements.Element[ele]['binding']['L3'] > self.energyValue: del self.peakdict[ele][index] elif peak == 'M': if Elements.Element[ele]['binding']['M5'] > self.energyValue: del self.peakdict[ele][index] elif peak == "Ka": if Elements.Element[ele]['binding']['K'] > self.energyValue: del self.peakdict[ele][index] elif peak == "Kb": if Elements.Element[ele]['binding']['K'] > self.energyValue: del self.peakdict[ele][index] elif Elements.Element[ele]['binding'][peak] > self.energyValue: del self.peakdict[ele][index] else: pass if ele == self.current: self.peaks.setSelection(self.peakdict[ele]) self.peakSelectionChanged(self.peakdict[ele]) self.elementClicked(ele) if not len(self.peakdict[ele]): del self.peakdict[ele] dict = copy.deepcopy(self.peakdict) self.setSelection(dict) class MyQLineEdit(qt.QLineEdit): def __init__(self,parent=None,name=None): qt.QLineEdit.__init__(self,parent,name) def focusInEvent(self,event): self.setPaletteBackgroundColor(qt.QColor('yellow')) def focusOutEvent(self,event): self.setPaletteBackgroundColor(qt.QColor('white')) class MyQLabel(qt.QLabel): def __init__(self, parent=None, bold=True, color= qt.Qt.red): qt.QLabel.__init__(self,parent) palette = self.palette() role = self.foregroundRole() palette.setColor(role,color) self.setPalette(palette) self.font().setBold(bold) if QTVERSION < '4.0.0': def drawContents(self, painter): painter.font().setBold(self.bold) pal =self.palette() pal.setColor(qt.QColorGroup.Foreground,self.color) self.setPalette(pal) qt.QLabel.drawContents(self,painter) painter.font().setBold(0) def testwidget(): import sys def change(ddict): print("New selection:",) print(ddict) a = qt.QApplication(sys.argv) a.lastWindowClosed.connect(a.quit) w = qt.QTabWidget() f = FitPeakSelect() w.addTab(f, "QPeriodicTable") f.sigFitPeakSelect.connect(change) w.show() a.exec_() if __name__ == "__main__": testwidget() ���PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/MatrixImage.py���������������������������������������������0000644�0002763�0000175�00000530447�13136054446�022564� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt image2=["312 177 16 1", " c black", ". c maroon", "X c green", "o c olive", "O c navy", "+ c purple", "@ c teal", "# c fractal", "$ c silver", "% c red", "& c lime", "* c yellow", "= c blue", "- c fuchsia", "; c aqua", ": c none", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::: ::: :::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::: ::: :::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::: ::: :: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::: :::: :: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::: :::: :: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::: ::: :: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::: ::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::: ::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::%%%%:::::::::::::", "::::===:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::%%%%%%%%:::::::::::::", "::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::%%%%%%%%%%%::::::::::::::", ":::::=====::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::%%%%%%%%%%%%%%%::::::::::::::", "::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::%%%%%%%%%%%%%:::::::::::::::", ":::::::======::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::%%%%%%%%%%%%:::::::::::::::", ":::::::::=====::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: :::::::::::::::::::::::::%%%%%%%%%%::::::::::::::::", "::::::::::======::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: :::::::::::::::::::::::::%%%%%%%%%::::::::::::::::", "::::::::::::=====::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: :::::::::::::::::::::::%%%%%%%%%:::::::::::::::::", ":::::::::::::======::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: :::::::::::::::::::::%%%%%%%%%%:::::::::::::::::", ":::::::::::::::=====::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: :::::::::::::::::::%%%%:%%%%%::::::::::::::::::", "::::::::::::::::======:::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: :::::::::::::::::%%%%:::%%%%::::::::::::::::::", "::::::::::::::::::=====::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: ::::::::::::::%%%%%:::::%%:::::::::::::::::::", ":::::::::::::::::::======:::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: ::::::::: ::::::::::::%%%%%:::::::%:::::::::::::::::::", ":::::::::::::::::::::=====::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: ::::::::: ::::::::::%%%%:::::::::::::::::::::::::::::", "::::::::::::::::::::::======:::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: ::::::::: ::::::::%%%%::::::::::::::::::::::::::::::", "::::::::::::::::::::::::=====:::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: ::::::::: :::::%%%%%:::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::======:::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: ::::::::: :::%%%%%::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::=====:::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: ::::::::: :%%%%::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::======::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: ::::::::: %%%:::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::=====:::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: ::::::::: %::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::======::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: ::::::::% ::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::=====:::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: ::::::%%% :::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::======::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: ::::%%%%: ::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::=====::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: :%%%%%::: :::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::======::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: %%%%::::: ::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::=====::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::: %:::::::: :::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::======: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::% ::::::::: ::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::==== ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::%%%% ::::::::: :::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::== :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::%%%%%: ::::::::: ::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::: =::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :%%%%:::: ::::::::: :::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::: ====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: %%%:::::: ::::::::: ::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::: =====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: %:::::::: ::::::::: :::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::: ::======::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::% ::::::::: ::::::::: ::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::: ::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%% ::::::::: ::::::::: :::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::: ::::::======:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%: ::::::::: ::::::::: ::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::: :::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::: ::::::::: ::::::::: :::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::: ::::::::::======:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::: ::::::::: ::::::::: ::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::: :::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::: ::::::::: ::::::::: :::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::: :::::::::::::::======::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%:::::::::: ::::::::: ::::::::: ::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::: :::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%:::::::::::: ::::::::: ::::::::: :::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::: :::::::::::::::::::======::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::: ::::::::: ::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::::: ::::::::: :::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::======:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::::::::::::::::::: ::::::::: ::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::::::::::::::::::::: ::::::::: :::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::======:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::: ::::::::: ::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::: ::::::::: :::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::======::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%:::::::::::::::::::::::::::: ::::::::: ::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%:::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::: ::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::::::::::::::::::::::::::::::::: ::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::: ::: :: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::::::::::::::::::::::::::::::::: ::: :: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::: ::::: :: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::::::::::: ::::: :: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::: ::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::::::::::: ::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::: ::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::::::::::::::::::::::::::::::::::: ::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::: ::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%% ::::::::::::::::::::::::::::::::::: ::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::: ::::::: :::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:: :::::::::::::::::::::::::::::::::: ::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::: ::::::: :::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::: :::::::::::::::::::::::::::::::::: ::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::: :::::: ::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%:::::: ::::::::::::::::::::::::::::::::: :::::: ::: :::::::::::::::::::: ::::::::::::::::::::::::::::::::::", ":::::::::::::::::: ::::: : :: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%:::::::: ::::::::::::::::::::::::::::::::: ::::: : :: :::::::::::::::::::: ::::::::::::::::::::::::::::::::::", "::::::::::::::::::: ::: :: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::: ::::::::::::::::::::::::::::::::: ::: :: :::::::::::::::::::: ::::::::::::::::::::::::::::::::::", ":::::::::::::::::::: :::: :: ::: : ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::: ::::::::::::::::::::::::::::::::: :::: :::: ::: :: : ::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::: :: :: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%:::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::: :: ::: ::: :: ::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::: ::: ::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::: ::: :: ::: :: ::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::: ::: ::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::: ::: :: ::: :: ::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::: ::: ::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::: ::: :: ::: :: ::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::: ::: ::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::: ::: :: ::: :: ::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::: ::: ::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::::::::%%%%:::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::: :: ::: :: : : ::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::: : : :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::::::::%%%%:::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::: ::::: : ::: :::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::::::::%%%%::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::=====::::::::::::::::::::::::::::::::::%%%%:::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::=====:::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::=====::::::::=:::::::::::::::::::%%%%%::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::=====::::::===:::::::::::::::::%%%%::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::=====:::====::::::::::::::::%%%%::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::=====::=====:::::::::::::%%%%%:::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::==========::::::::::::%%%%%::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::==========::::::::::%%%%::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::=========:::::::::%%%%:::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::==========::::::%%%%%::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::===========:::::%%%%%:::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::=============:::%%%%::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::==============::%%%%:::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::: :::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=======%%%%:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::: :: ::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::: :::::: :: ::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::: :::::: :: ::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::: :::::: :: ::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::: :::::: :: ::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::: :::: : :: ::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::: :::: : :: ::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::: ::: : :: ::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ::::::::::: :: :::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ::::::::::: :::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% :::::::::::: ::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% :::::::::::: ::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% :::::::::::: :::::: : ::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::: ::::::: : :::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::: ::::::: :: :::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::: :::: :: :: :::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::: :::: :: :: :::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::: ::: :: :: :::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ ::::::::::: : : ::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ ::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::"] image2trans =["312 177 6 1", " c black", ". c blue", "X c purple", "o c red", "O c red", "+ c none", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++oo++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++oooooo++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++oooooooo+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++ ++++++++++++++oooooooooo+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++ ++++++++++++++oooooooo++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++ ++++++++++++++ooooooo++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++ ++++ ++++++++++++oooooooo++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++ ++++++++++ ++++ ++++++++++oooooooo+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++ +++++++++++ ++++ ++++++++ooooooooo+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++ ++ ++++++ +++++ ++++ ++++++oooooo+oo++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++ ++++++++ ++++ ++++ ++++oooooo+++o++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++ +++++++ ++++ ++++ ++oooooo+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++ ++++ ++++ oooooo++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++ +++++++++ ++++ ++++ oooo+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++ ++++++++++ ++++ ++++ oo++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++ +++++++++++ ++++ ++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++ ++++ ++oo ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++ ++++ oooo +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++ ++++ oooo ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++ ++++ oo++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++ ++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++oo ++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ oooo ++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ oooo ++++ +++++++++++++ ++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ oo++ ++++ +++++++++++ ++ + +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++ ++++ +++++++++ ++++ + +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++o ++++ ++++ +++++++ ++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooo ++++ ++++ ++++++ ++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo ++++ ++++ +++++ ++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++ ++++ ++++ ++++ ++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++ ++++ ++++ +++ ++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++++ ++++ ++++ ++++ +++++ ++ +++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++++++ ++++ +++++ ++++++ ++++ + +++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++++++++ ++++ ++++++++++++ ++ + +++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++++++++++ ++++ ++++++++++++ +++ ++ + + + ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++++++++++++ ++++ +++++++++++++++++++++++++ ++ + ++ ++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++++++++++++++ ++++ +++++++++++++++++++++++ ++ ++ ++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++ +++++++++++++++ ++++ ++++++++++++++++++++++++ ++ ++ ++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++ +++++++++++++++ +++++ +++++++++++++++++++++++++ ++ ++ ++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++++ +++++++++++++++ ++++++++++++++++++++++++++++++ ++ ++ ++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo+++++++ ++++++++++++++++ ++++++++++++++++++++++++++++++ ++ + + ++ + ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo+++++++++ ++++++++++++++++ ++++++++++++++++++++++++++++++ +++ + ++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo+++++++++++ ++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo+++++++++++++ +++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo+++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo+++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo+++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooooo++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ooo++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++ ++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++ +++++++ ++ ++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++ +++++++ ++ ++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++ ++++++ ++ +++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++ ++++++ ++ +++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO ++++++++++++++ ++++++ ++ +++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO ++++++++++++++ ++++++ ++ +++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO ++++++++++++++ +++++ ++ +++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO ++++++++++++++ +++++ ++ +++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO ++++++++++++++ +++++ + ++ ++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++ ++++ + ++ ++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++ ++ +++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO ++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO ++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++ ++++++ + +++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++ +++++++ + ++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++ +++++++ ++ ++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX ++++++++++++++ +++++ + ++ ++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++ +++++ + ++ ++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++ + ++ ++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++......+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++ + ++ ++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++........+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ + +++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++..........+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++........++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++ ++++++++++++++++++ ++++++++++++++++++++.......++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++ + +++++++++++++++++++ +++++++++++++++++++.......+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++ + +++++++++++++++++++ ++++++++++++++++++........+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++ +++++++++++++++++++++ ++++++++++++++++.........+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++ +++++++++++++++++++++ +++++++++++++++.....++..++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++ +++++++++++++++++++++ ++++++++++++++.....++++.++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++ +++++++++++++++++++++++ ++++++++++++.....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++ ++++ ++++++++++++++++ +++++++++++.....+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++ ++ ++++++++++++++++ ++++++++++.....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++ + +++++++++++++++++ ++++++++.....+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++ + ++++++++++++++++++++ +++++++.....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++ + + ++++++++ ++++++.....+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++ + ++++++++ ++++.....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++ ++ ++++++++++++.....+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++ ++ +++++++++++.....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++ ++ ++++++++++.....+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++ ++ +++++++++.....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++ ++ ++++++++.....+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ + ++++++.....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++.....+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++.....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++.....+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++.....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++.....+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++.....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++.....+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++.....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++.....+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++.....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++.....+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++.....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++.....+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ .....++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ...+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ .++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.... ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.....+ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.....+++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.....+++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.....+++++++ ++++++++++++ +++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.....+++++++++ +++++++++++++ +++ ++++ +++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.....+++++++++++ ++++++++++++ ++++ +++ ++++++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.....+++++++++++++ +++++++++++ ++++ +++ +++ ++ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.....+++++++++++++++ ++++++++++ ++++ +++ +++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.....+++++++++++++++++ +++++++++ +++ ++++ ++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.....+++++++++++++++++++ ++++++++ +++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.....+++++++++++++++++++++ ++++++++ +++ +++ +++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++....+++++++++++++++++++++++ +++++++ ++++ ++ +++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++...+++++++++++++++++++++++++ ++++++++ +++++ ++ +++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++.+++++++++++++++++++++++++++ +++++++++ +++++ ++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++++ ++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++ +++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++", "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++"] image = [ "302 150 5 1", " c black", ". c blue", "X c #007700", "o c red", "O c white", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OO..OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "O.....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOO", "OOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooooooOOOO", "OOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooooooooooooOOOO", "OOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooooooooooOOOOO", "OOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooooooooOOOOO", "OOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooooooOOOOOO", "OOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooooooOOOOOO", "OOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooooooOOOOOOO", "OOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooooooOOOOOOO", "OOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooooooOOOOOOOO", "OOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOooooOOOOOOOO", "OOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOooOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOoOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOO OOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOO OOO OO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOO OO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOO OOOOO OO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOO OO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOO OOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOO OOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOO OOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooo OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOO OOOOOOO OOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOO OOOOOOO OOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO O....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOO OOOOOO OOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOO OOO OOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOO OOOOO O OO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOO O OO OOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOO OOO OO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOO OO OOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOO OOOO OO OOOO O OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOO OOOO OOO OO O OOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOO OO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OO OOO OOO OO OOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOO OOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOO OO OOO OO OOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOO OOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOO OO OOO OO OOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOO OOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOO OO OOO OO OOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOO OOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOO OO OOO OO OOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOO OOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OO OOO OO O O OOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OO O OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOO O OOO OOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOOOOO.OOOOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOOOO...OOOOOOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OOOO....OOOOOOOOOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO....OO.....OOOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO..........OOOOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO.........OOOOOOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO.........OOOOOOOOoooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO..........OOOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO...........OOOOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO.............OOooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO..............ooooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO.......ooooOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO oo OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO" ] image_medium=[ "174 86 16 1", " c black", ". c maroon", "X c green", "o c olive", "O c navy", "+ c purple", "@ c #007700", "# c fractal", "$ c silver", "% c red", "& c lime", "* c yellow", "= c blue", "- c fuchsia", "; c aqua", ": c white", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::==::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", ":====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::", ":::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%%%%%::::::", "::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%%%%%%%%%%:::::::", "::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%%%%%%%%%:::::::", ":::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%%%%%%%::::::::", ":::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%%%%%%::::::::", "::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%%%%%:::::::::", "::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%%%%%:::::::::", ":::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%%%%%::::::::::", ":::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%%%%%%::::::::::", "::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:%%%%%:::::::::::", "::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:::%%%%:::::::::::", ":::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:::::%%::::::::::::", ":::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::%::::::::::::", "::::::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%::::::::::::::::::::::", "::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:::::::::::::::::::::::", ":::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%::::::::::::::::::::::::", ":::::::::::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::::", "::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::===:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%:::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%::::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::====::::::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::: ::: ::::::::::::::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::::%%%%%%:::::::::::::::::: ::: ::::::::::::::::::::::::::::", ":::::::::::: :: :: :::::::::::::::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::::::%%%%%::::::::::::::::::: :: :: ::::::::::::::::::::::::::::", "::::::::::: :::: ::::::::::::::::::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::::%%%%%%::::::::::::::::::: :::: :::::::::::::::::::::::::::::", "::::::::::: ::::: :::::::::::::::::::::::::::::::::::::::::::::====:::::::::::::::::::::::::::::::::::::::::%%%%%%: :::::::::::::::::: ::::: :::::::::::::::::::::::::::::", "::::::::::: ::::: :::::::::::::::::::::::::::::::::::::::::::: ::====::::::::::::::::::::::::::::::::::::::%%%%%%:: :::::::::::::::::: ::::: :::::::::::::::::::::::::::::", "::::::::::: :::: :::: :::::::::::::::::::::::::::::::::::::::: :::====::::::::::::::::::::::::::::::::::::%%%%%::::: ::::::::::::::::: :::: ::::::::::::::::::::::::::::::", "::::::::::: :::: :::::::::::::::::::::::::::::::::::::::::::: ::::::====::::::::::::::::::::::::::::::::%%%%%%:::::: ::::::::::::::::: :::: :::::::::::::::::: :::::::::::", "::::::::::: :::: :::::::::::::::::::::::::::::::::::::::::::: :::::::====::::::::::::::::::::::::::::::%%%%%%:::::::: :::::::::::::::: :::: :::::::::::::::::: :::::::::::", ":::::::::::: :: : :: ::: : :::::::::::::::::::::::::::::::: :::::::::====::::::::=::::::::::::::::::%%%%%%::::::::: ::::::::::::::::: :: : :: : :: :: : ::::::::::", "::::::::::::: :: :: :: ::::::::::::::::::::::::::::::: ::::::::::====::::::===::::::::::::::::%%%%%:::::::::::: ::::::::::::::::: :: : ::: :: ::: :: :::::::::::", "::::::::::::::::::::::: ::: ::: ::::::::::::::::::::::::::::::: ::::::::::::====::::===::::::::::::::%%%%%%::::::::::::: ::::::::::::::::::::::::::: ::: :: ::: :: :::::::::::", "::::::::::::::::::::::: ::: ::: :::::::::::::::::::::::::::::: ::::::::::::::====::=====::::::::::::%%%%%%:::::::::::::: ::::::::::::::::::::::::::: ::: :: ::: :: :::::::::::", "::::::::::::::::::::::: ::: ::: :::::::::::::::::::::::::::::: ::::::::::::::::=========:::::::::::%%%%%%::::::::::::::: ::::::::::::::::::::::::::: ::: :: ::: :: :::::::::::", "::::::::::::::::::::::: ::: ::: :::::::::::::::::::::::::::::: :::::::::::::::::=========:::::::::%%%%%:::::::::::::::::: :::::::::::::::::::::::::: ::: :: :: : : :::::::::", ":::::::::::::::::::::: : : ::::::::::::::::::::::::::::: ::::::::::::::::::========:::::::%%%%%%::::::::::::::::::: ::::::::::::::::::::::::::: :::: : :: ::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::==========:::::%%%%%%::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: :::::::::::::::::==========::::%%%%%%:::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::", ":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: ::::::::::::::::============::%%%%%:::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::=============%%%%%%::::::::::::::::::::::::: :::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: =======%%%% :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@%%@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::: :::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::", "::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::" ] image_small=[ ] class MatrixImage(qt.QWidget): def __init__(self,parent = None, name = "Matrix Image", size=None): qt.QWidget.__init__(self, parent) self.setWindowTitle(name) layout = qt.QVBoxLayout(self) self.label = qt.QLabel(self) self.setPixmap(size) layout.addWidget(self.label) def setPixmap(self, size): if size == "small": self.pixmap = qt.QPixmap(image_small) elif size == "image2": self.pixmap = qt.QPixmap(image2) elif size == "image2trans": self.pixmap = qt.QPixmap(image2trans) elif size == "medium": self.pixmap = qt.QPixmap(image_medium) else: self.pixmap = qt.QPixmap(image) self.label.setPixmap(self.pixmap) if __name__ == '__main__': a= qt.QApplication([]) a.lastWindowClosed.connect(a.quit) if len(sys.argv) > 1: w=MatrixImage(size=sys.argv[1]) else: w=MatrixImage() w.show() a.exec_() �������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/FitParamForm.py��������������������������������������������0000644�0002763�0000175�00000076735�13136054446�022711� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "E. Papillon & V. Armando Sole - ESRF Software Group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() QLabelAlignRight = qt.Qt.AlignRight QLabelAlignCenter = qt.Qt.AlignCenter QLabelAlignVCenter= qt.Qt.AlignVCenter class Q3SpinBox(qt.QSpinBox): def setMinValue(self, v): self.setMinimum(v) def setMaxValue(self, v): self.setMaximum(v) def setLineStep(self, v): self.setSingleStep(v) class Q3GridLayout(qt.QGridLayout): def addMultiCellWidget(self, w, r0, r1, c0, c1, *var): self.addWidget(w, r0, c0, 1 + r1 - r0, 1 + c1 - c0) class FitParamForm(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self,parent) FitParamFormLayout = qt.QVBoxLayout(self) FitParamFormLayout.setContentsMargins(11, 11, 11, 11) FitParamFormLayout.setSpacing(6) self.mainTab = qt.QTabWidget(self) self.tabFit = qt.QWidget() tabFitLayout = qt.QVBoxLayout(self.tabFit) tabFitLayout.setContentsMargins(11, 11, 11, 11) tabFitLayout.setSpacing(6) layout5 = Q3GridLayout(None) #,1,1, layout5.setContentsMargins(11, 11, 11, 11) layout5.setSpacing(6) self.functionCombo = qt.QComboBox(self.tabFit) self.functionCombo.insertItem = self.functionCombo.addItem self.functionLabel = qt.QLabel(self.tabFit) self.functionLabel.setText("Fit Function") self.functionCombo.insertItem(str("Mca Hypermet")) self.functionCombo.insertItem(str("Mca Pseudo-Voigt")) self.snipWidthLabel = qt.QLabel(self.tabFit) self.snipWidthLabel.setText(str("SNIP Background Width")) self.stripWidthLabel = qt.QLabel(self.tabFit) self.stripWidthLabel.setText(str("Strip Background Width")) self.stripIterValue = qt.QLineEdit(self.tabFit) self.chi2Label = qt.QLabel(self.tabFit) self.chi2Label.setText(str("Minimum chi^2 difference (%)")) self.chi2Value = qt.QLineEdit(self.tabFit) self.linearFitFlagCheck = qt.QCheckBox(self.tabFit) self.linearFitFlagCheck.setText(str("Perform a Linear Fit Fixing non-linear Parameters to Initial Values")) self.strategyCheckBox = qt.QCheckBox(self.tabFit) self.strategyCheckBox.setText(str("Perform a fit using the selected strategy")) self.strategyCombo = qt.QComboBox(self.tabFit) self.strategyCombo.addItem(str("Single Layer")) self.strategySetupButton = qt.QPushButton(self.tabFit) self.strategySetupButton.setText('SETUP') self.strategySetupButton.setAutoDefault(False) self.mainTab.addTab(self.tabFit,str("FIT")) self.lastLabel = qt.QLabel(self.tabFit) lastLabel_font = qt.QFont(self.lastLabel.font()) lastLabel_font.setItalic(1) self.lastLabel.setFont(lastLabel_font) self.lastLabel.setText(str("Last channel :")) self.lastLabel.setAlignment(QLabelAlignVCenter | QLabelAlignRight) self.regionCheck = qt.QCheckBox(self.tabFit) self.regionCheck.setText(str("Limit fitting region to :")) self.topLine = qt.QFrame(self.tabFit) self.topLine.setFrameShape(qt.QFrame.HLine) self.topLine.setFrameShadow(qt.QFrame.Sunken) self.topLine.setFrameShape(qt.QFrame.HLine) ########## self.weightLabel = qt.QLabel(self.tabFit) self.weightLabel.setText("Statistical weighting of data") self.weightCombo = qt.QComboBox(self.tabFit) self.weightCombo.insertItem = self.weightCombo.addItem self.weightCombo.insertItem(str("NO Weight")) self.weightCombo.insertItem(str("Poisson (1/Y)")) #self.weightCombo.insertItem(str("Poisson (1/Y2)")) ########## self.iterLabel = qt.QLabel(self.tabFit) self.iterLabel.setText(str("Number of fit iterations")) self.contCombo = qt.QComboBox(self.tabFit) self.contCombo.insertItem = self.contCombo.addItem self.contCombo.insertItem(str("NO Continuum")) self.contCombo.insertItem(str("Constant")) self.contCombo.insertItem(str("Linear")) self.contCombo.insertItem(str("Parabolic")) self.contCombo.insertItem(str("Linear Polynomial")) self.contCombo.insertItem(str("Exp. Polynomial")) self.stripCombo = qt.QComboBox(self.tabFit) self.stripCombo.insertItem = self.stripCombo.addItem self.stripComboLabel = qt.QLabel(self.tabFit) self.stripComboLabel.setText("Non-analytical (or estimation) background algorithm") self.stripCombo.insertItem(str("Strip")) self.stripCombo.insertItem(str("SNIP")) self.stripCombo.activated[int].connect(self._stripComboActivated) self.snipWidthSpin = Q3SpinBox(self.tabFit) self.snipWidthSpin.setMaxValue(300) self.snipWidthSpin.setMinValue(0) self.stripWidthSpin = Q3SpinBox(self.tabFit) self.stripWidthSpin.setMaxValue(100) self.stripWidthSpin.setMinValue(1) self.orderSpin = Q3SpinBox(self.tabFit) self.orderSpin.setMaxValue(10) self.orderSpin.setMinValue(1) maxnchannel = 16384*4 self.maxSpin = Q3SpinBox(self.tabFit) self.maxSpin.setMaxValue(maxnchannel) self.maxSpin.setLineStep(128) self.minSpin = Q3SpinBox(self.tabFit) self.minSpin.setMaxValue(maxnchannel) self.minSpin.setLineStep(128) self.stripIterLabel = qt.QLabel(self.tabFit) self.stripIterLabel.setText(str("Strip Background Iterations")) self.iterSpin = Q3SpinBox(self.tabFit) self.iterSpin.setMinValue(1) self.stripFilterLabel = qt.QLabel(self.tabFit) self.stripFilterLabel.setText(str("Strip Background Smoothing Width (Savitsky-Golay)")) self.stripFilterSpin = Q3SpinBox(self.tabFit) self.stripFilterSpin.setMinValue(1) self.stripFilterSpin.setMaxValue(40) self.stripFilterSpin.setLineStep(2) ######## self.anchorsContainer = qt.QWidget(self.tabFit) anchorsContainerLayout = qt.QHBoxLayout(self.anchorsContainer) anchorsContainerLayout.setContentsMargins(0, 0, 0, 0) anchorsContainerLayout.setSpacing(2) self.stripAnchorsFlagCheck = qt.QCheckBox(self.anchorsContainer) self.stripAnchorsFlagCheck.setText(str("Strip Background use Anchors")) anchorsContainerLayout.addWidget(self.stripAnchorsFlagCheck) self.stripAnchorsList = [] for i in range(4): anchorSpin = Q3SpinBox(self.anchorsContainer) anchorSpin.setMinValue(0) anchorSpin.setMaxValue(maxnchannel) anchorsContainerLayout.addWidget(anchorSpin) self.stripAnchorsList.append(anchorSpin) ####### self.firstLabel = qt.QLabel(self.tabFit) firstLabel_font = qt.QFont(self.firstLabel.font()) firstLabel_font.setItalic(1) self.firstLabel.setFont(firstLabel_font) self.firstLabel.setText(str("First channel :")) self.firstLabel.setAlignment(qt.Qt.AlignVCenter | qt.Qt.AlignRight) self.typeLabel = qt.QLabel(self.tabFit) self.typeLabel.setText(str("Continuum type")) self.orderLabel = qt.QLabel(self.tabFit) self.orderLabel.setText(str("Polynomial order")) self.bottomLine = qt.QFrame(self.tabFit) self.bottomLine.setFrameShape(qt.QFrame.HLine) self.bottomLine.setFrameShadow(qt.QFrame.Sunken) self.bottomLine.setFrameShape(qt.QFrame.HLine) layout5.addMultiCellWidget(self.functionLabel,0,0,0,1) layout5.addMultiCellWidget(self.functionCombo,0,0,3,4) layout5.addMultiCellWidget(self.typeLabel,1,1,0,1) layout5.addMultiCellWidget(self.contCombo,1,1,3,4) layout5.addMultiCellWidget(self.orderLabel,2,2,0,1) layout5.addMultiCellWidget(self.orderSpin,2,2,3,4) layout5.addMultiCellWidget(self.stripComboLabel, 3, 3, 0, 1) self.stripSetupButton = qt.QPushButton(self.tabFit) self.stripSetupButton.setText('SETUP') self.stripSetupButton.setAutoDefault(False) layout5.addWidget(self.stripCombo, 3, 3) layout5.addWidget(self.stripSetupButton, 3, 4) layout5.addMultiCellWidget(self.snipWidthLabel,4,4,0,1) layout5.addMultiCellWidget(self.snipWidthSpin,4,4,3,4) layout5.addMultiCellWidget(self.stripWidthLabel,5,5,0,1) layout5.addMultiCellWidget(self.stripWidthSpin,5,5,3,4) layout5.addMultiCellWidget(self.stripIterLabel,6,6,0,1) layout5.addMultiCellWidget(self.stripIterValue,6,6,3,4) layout5.addMultiCellWidget(self.stripFilterLabel,7,7,0,1) layout5.addMultiCellWidget(self.stripFilterSpin,7,7,3,4) layout5.addMultiCellWidget(self.anchorsContainer,8,8,0,4) layout5.addWidget(self.weightLabel,9,0) layout5.addMultiCellWidget(self.weightCombo,9,9,3,4) layout5.addWidget(self.iterLabel,10,0) layout5.addWidget(qt.HorizontalSpacer(self.tabFit),10,1) layout5.addMultiCellWidget(self.iterSpin,10,10,3,4) layout5.addWidget(self.chi2Label, 11, 0) layout5.addMultiCellWidget(self.chi2Value, 11, 11,3,4) layout5.addMultiCellWidget(self.strategyCheckBox, 12, 12, 0, 4) layout5.addWidget(self.strategyCombo, 12, 3) layout5.addWidget(self.strategySetupButton, 12, 4) layout5.addMultiCellWidget(self.linearFitFlagCheck, 13, 13, 0, 4) layout5.addMultiCellWidget(self.topLine, 14, 15,0,4) layout5.addMultiCellWidget(self.minSpin,15, 16,4,4) layout5.addWidget(self.regionCheck,16,0) layout5.addMultiCellWidget(self.firstLabel,16, 16,2,3) layout5.addMultiCellWidget(self.lastLabel,17,17,2,3) layout5.addWidget(self.maxSpin,17,4) layout5.addMultiCellWidget(self.bottomLine,18,18,0,4) tabFitLayout.addLayout(layout5) includeWidget = qt.QWidget(self.tabFit) includeLayout = Q3GridLayout(includeWidget) includeLayout.setContentsMargins(0, 0, 0, 0) includeLayout.setSpacing(3) self.stepCheck = qt.QCheckBox(includeWidget) self.stepCheck.setText(str("Step tail")) includeLayout.addWidget(self.stepCheck,2,2) self.escapeCheck = qt.QCheckBox(includeWidget) self.escapeCheck.setText(str("Escape peaks")) includeLayout.addWidget(self.escapeCheck,1,1) self.includeLabel = qt.QLabel(includeWidget) includeLabel_font = qt.QFont(self.includeLabel.font()) includeLabel_font.setBold(1) self.includeLabel.setFont(includeLabel_font) self.includeLabel.setText(str("Include:")) includeLayout.addWidget(self.includeLabel,0,0) self.sumCheck = qt.QCheckBox(includeWidget) self.sumCheck.setText(str("Pile-up peaks")) includeLayout.addWidget(self.sumCheck,1,2) self.scatterCheck = qt.QCheckBox(includeWidget) self.scatterCheck.setText(str("Scattering peaks")) includeLayout.addWidget(self.scatterCheck,1,3) self.stripCheck = qt.QCheckBox(includeWidget) self.stripCheck.setText(str("Stripping")) includeLayout.addWidget(self.stripCheck,1,0) self.longCheck = qt.QCheckBox(includeWidget) self.longCheck.setText(str("Long tail")) includeLayout.addWidget(self.longCheck,2,1) self.shortCheck = qt.QCheckBox(includeWidget) self.shortCheck.setText(str("Short tail")) includeLayout.addWidget(self.shortCheck,2,0) #tabFitLayout.addLayout(includeLayout) layout5.addMultiCellWidget(includeWidget,18,19,0,4) spacer_2 = qt.QSpacerItem(20, 40,\ qt.QSizePolicy.Minimum,\ qt.QSizePolicy.Expanding) tabFitLayout.addItem(spacer_2) #self.mainTab.addTab(self.tabFit,str("FIT")) self.tabDetector = qt.QWidget() tabDetectorLayout = qt.QVBoxLayout(self.tabDetector) tabDetectorLayout.setContentsMargins(11, 11, 11, 11) tabDetectorLayout.setSpacing(6) detLayout = Q3GridLayout(None) detLayout.setContentsMargins(0, 0, 0, 0) detLayout.setSpacing(2) self.elementCombo = qt.QComboBox(self.tabDetector) self.elementCombo.insertItem(0, str("Si")) self.elementCombo.insertItem(1, str("Ge")) self.elementCombo.insertItem(2, str("Cd1Te1")) self.elementCombo.insertItem(3, str("Hg1I2")) self.elementCombo.insertItem(4, str("Ga1As1")) self.elementCombo.setEnabled(1) self.elementCombo.setDuplicatesEnabled(0) detLayout.addWidget(self.elementCombo,0,3) self.elementLabel = qt.QLabel(self.tabDetector) self.elementLabel.setText(str("Detector Composition")) detLayout.addWidget(self.elementLabel,0,0) self.escapeLabel = qt.QLabel(self.tabDetector) self.escapeLabel.setText(str("Maximum Number of Escape energies")) detLayout.addMultiCellWidget(self.escapeLabel,3,4,0,0) #self.intensityValue0 = QLineEdit(self.tabDetector,"intensityValue0") #self.intensityValue0.setText(str("1.0")) #self.intensityValue0.setReadOnly(1) self.nEscapeThreshold = Q3SpinBox(self.tabDetector) self.nEscapeThreshold.setMaxValue(20) self.nEscapeThreshold.setMinValue(1) self.nEscapeThreshold.setValue(4) #detLayout.addWidget(self.intensityValue0,3,3) detLayout.addWidget(self.nEscapeThreshold,3,3) spacer_4 = qt.QSpacerItem(89, 20,\ qt.QSizePolicy.Expanding, qt.QSizePolicy.Minimum) detLayout.addItem(spacer_4,3,1) tabDetectorLayout.addLayout(detLayout) self.calibLine = qt.QFrame(self.tabDetector) self.calibLine.setFrameShape(qt.QFrame.HLine) self.calibLine.setFrameShadow(qt.QFrame.Sunken) self.calibLine.setFrameShape(qt.QFrame.HLine) tabDetectorLayout.addWidget(self.calibLine) layout5_2 = Q3GridLayout(None) layout5_2.setContentsMargins(11, 11, 11, 11) layout5_2.setSpacing(2) self.zeroError = qt.QLineEdit(self.tabDetector) layout5_2.addWidget(self.zeroError,1,5) self.sumfacSepLabel = qt.QLabel(self.tabDetector) sumfacSepLabel_font = qt.QFont(self.sumfacSepLabel.font()) sumfacSepLabel_font.setBold(1) self.sumfacSepLabel.setFont(sumfacSepLabel_font) self.sumfacSepLabel.setText(str("+/-")) layout5_2.addWidget(self.sumfacSepLabel,5,4) self.noiseLabel = qt.QLabel(self.tabDetector) self.noiseLabel.setText(str("Detector noise (keV)")) layout5_2.addWidget(self.noiseLabel,3,0) self.gainCheck = qt.QCheckBox(self.tabDetector) self.gainCheck.setText(str("")) layout5_2.addWidget(self.gainCheck,2,2) self.gainLabel = qt.QLabel(self.tabDetector) self.gainLabel.setText(str("Spectrometer gain (keV/ch)")) layout5_2.addWidget(self.gainLabel,2,0) self.sumfacLabel = qt.QLabel(self.tabDetector) self.sumfacLabel.setText(str("Pile-up Factor")) layout5_2.addWidget(self.sumfacLabel,5,0) self.noiseError = qt.QLineEdit(self.tabDetector) layout5_2.addWidget(self.noiseError,3,5) self.zeroValue = qt.QLineEdit(self.tabDetector) layout5_2.addWidget(self.zeroValue,1,3) self.fanoSepLabel = qt.QLabel(self.tabDetector) fanoSepLabel_font = qt.QFont(self.fanoSepLabel.font()) fanoSepLabel_font.setBold(1) self.fanoSepLabel.setFont(fanoSepLabel_font) self.fanoSepLabel.setText(str("+/-")) layout5_2.addWidget(self.fanoSepLabel,4,4) self.fanoError = qt.QLineEdit(self.tabDetector) layout5_2.addWidget(self.fanoError,4,5) self.zeroSepLabel = qt.QLabel(self.tabDetector) zeroSepLabel_font = qt.QFont(self.zeroSepLabel.font()) zeroSepLabel_font.setBold(1) self.zeroSepLabel.setFont(zeroSepLabel_font) self.zeroSepLabel.setText(str("+/-")) layout5_2.addWidget(self.zeroSepLabel,1,4) self.valueLabel = qt.QLabel(self.tabDetector) valueLabel_font = qt.QFont(self.valueLabel.font()) valueLabel_font.setItalic(1) self.valueLabel.setFont(valueLabel_font) self.valueLabel.setText(str("Value")) self.valueLabel.setAlignment(qt.Qt.AlignCenter) layout5_2.addWidget(self.valueLabel,0,3) layout5_2.addWidget(qt.HorizontalSpacer(self.tabDetector),1,1) self.noiseValue = qt.QLineEdit(self.tabDetector) layout5_2.addWidget(self.noiseValue,3,3) self.fanoValue = qt.QLineEdit(self.tabDetector) layout5_2.addWidget(self.fanoValue,4,3) self.zeroLabel = qt.QLabel(self.tabDetector) self.zeroLabel.setText(str("Spectrometer zero (keV)")) layout5_2.addWidget(self.zeroLabel,1,0) self.sumfacError = qt.QLineEdit(self.tabDetector) layout5_2.addWidget(self.sumfacError,5,5) self.noiseSepLabel = qt.QLabel(self.tabDetector) noiseSepLabel_font = qt.QFont(self.noiseSepLabel.font()) noiseSepLabel_font.setBold(1) self.noiseSepLabel.setFont(noiseSepLabel_font) self.noiseSepLabel.setText(str("+/-")) layout5_2.addWidget(self.noiseSepLabel,3,4) self.sumfacCheck = qt.QCheckBox(self.tabDetector) self.sumfacCheck.setText(str("")) layout5_2.addWidget(self.sumfacCheck,5,2) self.noiseCheck = qt.QCheckBox(self.tabDetector) self.noiseCheck.setText(str("")) layout5_2.addWidget(self.noiseCheck,3,2) self.errorLabel = qt.QLabel(self.tabDetector) errorLabel_font = qt.QFont(self.errorLabel.font()) errorLabel_font.setItalic(1) self.errorLabel.setFont(errorLabel_font) self.errorLabel.setText(str("Delta ")) self.errorLabel.setAlignment(QLabelAlignCenter) layout5_2.addWidget(self.errorLabel,0,5) self.fixedLabel = qt.QLabel(self.tabDetector) fixedLabel_font = qt.QFont(self.fixedLabel.font()) fixedLabel_font.setItalic(1) self.fixedLabel.setFont(fixedLabel_font) self.fixedLabel.setText(str("Fixed ")) self.fixedLabel.setAlignment(qt.Qt.AlignVCenter) layout5_2.addWidget(self.fixedLabel,0,2) self.zeroCheck = qt.QCheckBox(self.tabDetector) self.zeroCheck.setText(str("")) layout5_2.addWidget(self.zeroCheck,1,2) self.sumfacValue = qt.QLineEdit(self.tabDetector,) layout5_2.addWidget(self.sumfacValue,5,3) self.fanoLabel = qt.QLabel(self.tabDetector) self.fanoLabel.setText(str("Fano factor (Si ~ 0.12, Ge ~ 0.1)")) layout5_2.addWidget(self.fanoLabel,4,0) self.gainValue = qt.QLineEdit(self.tabDetector) layout5_2.addWidget(self.gainValue,2,3) self.gainSepLabel = qt.QLabel(self.tabDetector) gainSepLabel_font = qt.QFont(self.gainSepLabel.font()) gainSepLabel_font.setBold(1) self.gainSepLabel.setFont(gainSepLabel_font) self.gainSepLabel.setText(str("+/-")) layout5_2.addWidget(self.gainSepLabel, 2, 4) self.fanoCheck = qt.QCheckBox(self.tabDetector) self.fanoCheck.setText(str("")) layout5_2.addWidget(self.fanoCheck, 4, 2) self.gainError = qt.QLineEdit(self.tabDetector) layout5_2.addWidget(self.gainError, 2, 5) self.ignoreSpectrumCalibration = qt.QCheckBox(self.tabDetector) ignoreToolTip = "If checked, the starting calibration parameters " ignoreToolTip += "will not be replaced by the input spectrum " ignoreToolTip += "ones.\n" self.ignoreSpectrumCalibration.setToolTip(ignoreToolTip) ignoreText = "Ignore calibration from input data" self.ignoreSpectrumCalibration.setText(ignoreText) self.ignoreSpectrumCalibration.setChecked(False) layout5_2.addWidget(self.ignoreSpectrumCalibration, 6, 0) tabDetectorLayout.addLayout(layout5_2) spacer_6 = qt.QSpacerItem(20, 2,\ qt.QSizePolicy.Minimum,\ qt.QSizePolicy.Expanding) tabDetectorLayout.addItem(spacer_6) self.mainTab.addTab(self.tabDetector,str("DETECTOR")) self.TabBeam = qt.QWidget() self.mainTab.addTab(self.TabBeam,str("BEAM")) self.TabPeaks = qt.QWidget() self.mainTab.addTab(self.TabPeaks,str("PEAKS")) self.tabPeakShape = qt.QWidget() tabPeakShapeLayout = Q3GridLayout(self.tabPeakShape) tabPeakShapeLayout.setContentsMargins(11, 11, 11, 11) tabPeakShapeLayout.setSpacing(2) spacer_7 = qt.QSpacerItem(20, 90,\ qt.QSizePolicy.Minimum,\ qt.QSizePolicy.Expanding) tabPeakShapeLayout.addItem(spacer_7,8,0) self.staLabel = qt.QLabel(self.tabPeakShape) self.staLabel.setText(str("Short Tail Area")) tabPeakShapeLayout.addWidget(self.staLabel,2,0) spacer_8 = qt.QSpacerItem(59, 20,\ qt.QSizePolicy.Expanding,\ qt.QSizePolicy.Minimum) tabPeakShapeLayout.addItem(spacer_8,1,1) self.fixedLabel_2 = qt.QLabel(self.tabPeakShape) fixedLabel_2_font = qt.QFont(self.fixedLabel_2.font()) fixedLabel_2_font.setItalic(1) self.fixedLabel_2.setFont(fixedLabel_2_font) self.fixedLabel_2.setText(str("Fixed")) self.fixedLabel_2.setAlignment(QLabelAlignVCenter) tabPeakShapeLayout.addWidget(self.fixedLabel_2, 1, 2) self.staCheck = qt.QCheckBox(self.tabPeakShape) self.staCheck.setText(str("")) tabPeakShapeLayout.addWidget(self.staCheck,2,2) self.valueLabel_2 = qt.QLabel(self.tabPeakShape) valueLabel_2_font = qt.QFont(self.valueLabel_2.font()) valueLabel_2_font.setItalic(1) self.valueLabel_2.setFont(valueLabel_2_font) self.valueLabel_2.setText(str("Value")) self.valueLabel_2.setAlignment(QLabelAlignCenter) tabPeakShapeLayout.addWidget(self.valueLabel_2,1,3) self.staValue = qt.QLineEdit(self.tabPeakShape) tabPeakShapeLayout.addWidget(self.staValue,2,3) self.staSep = qt.QLabel(self.tabPeakShape) staSep_font = qt.QFont(self.staSep.font()) staSep_font.setBold(1) self.staSep.setFont(staSep_font) self.staSep.setText(str("+/-")) tabPeakShapeLayout.addWidget(self.staSep,2,4) self.errorLabel_2 = qt.QLabel(self.tabPeakShape) errorLabel_2_font = qt.QFont(self.errorLabel_2.font()) errorLabel_2_font.setItalic(1) self.errorLabel_2.setFont(errorLabel_2_font) self.errorLabel_2.setText(str("Error")) self.errorLabel_2.setAlignment(QLabelAlignCenter) tabPeakShapeLayout.addWidget(self.errorLabel_2,1,5) self.staError = qt.QLineEdit(self.tabPeakShape) tabPeakShapeLayout.addWidget(self.staError,2,5) self.stsError = qt.QLineEdit(self.tabPeakShape) tabPeakShapeLayout.addWidget(self.stsError,3,5) self.stsSep = qt.QLabel(self.tabPeakShape) stsSep_font = qt.QFont(self.stsSep.font()) stsSep_font.setBold(1) self.stsSep.setFont(stsSep_font) self.stsSep.setText(str("+/-")) tabPeakShapeLayout.addWidget(self.stsSep,3,4) self.stsValue = qt.QLineEdit(self.tabPeakShape) tabPeakShapeLayout.addWidget(self.stsValue,3,3) self.stsCheck = qt.QCheckBox(self.tabPeakShape) self.stsCheck.setText(str("")) tabPeakShapeLayout.addWidget(self.stsCheck,3,2) self.stsLabel = qt.QLabel(self.tabPeakShape) self.stsLabel.setText(str("Short Tail Slope")) tabPeakShapeLayout.addWidget(self.stsLabel,3,0) self.ltaLabel = qt.QLabel(self.tabPeakShape) self.ltaLabel.setText(str("Long Tail Area")) tabPeakShapeLayout.addWidget(self.ltaLabel,4,0) self.ltaCheck = qt.QCheckBox(self.tabPeakShape) self.ltaCheck.setText(str("")) tabPeakShapeLayout.addWidget(self.ltaCheck,4,2) self.ltaValue = qt.QLineEdit(self.tabPeakShape) tabPeakShapeLayout.addWidget(self.ltaValue,4,3) self.ltaSep = qt.QLabel(self.tabPeakShape) ltaSep_font = qt.QFont(self.ltaSep.font()) ltaSep_font.setBold(1) self.ltaSep.setFont(ltaSep_font) self.ltaSep.setText(str("+/-")) tabPeakShapeLayout.addWidget(self.ltaSep,4,4) self.ltaError = qt.QLineEdit(self.tabPeakShape) tabPeakShapeLayout.addWidget(self.ltaError,4,5) self.ltsError = qt.QLineEdit(self.tabPeakShape) tabPeakShapeLayout.addWidget(self.ltsError,5,5) self.ltsSep = qt.QLabel(self.tabPeakShape) ltsSep_font = qt.QFont(self.ltsSep.font()) ltsSep_font.setBold(1) self.ltsSep.setFont(ltsSep_font) self.ltsSep.setText(str("+/-")) tabPeakShapeLayout.addWidget(self.ltsSep,5,4) self.ltsValue = qt.QLineEdit(self.tabPeakShape) tabPeakShapeLayout.addWidget(self.ltsValue,5,3) self.ltsCheck = qt.QCheckBox(self.tabPeakShape) self.ltsCheck.setText(str("")) tabPeakShapeLayout.addWidget(self.ltsCheck,5,2) self.ltsLabel = qt.QLabel(self.tabPeakShape) self.ltsLabel.setText(str("Long Tail Slope")) tabPeakShapeLayout.addWidget(self.ltsLabel,5,0) # Step Height self.shLabel = qt.QLabel(self.tabPeakShape) self.shLabel.setText(str("Step Height")) tabPeakShapeLayout.addWidget(self.shLabel,6,0) self.shCheck = qt.QCheckBox(self.tabPeakShape) self.shCheck.setText(str("")) tabPeakShapeLayout.addWidget(self.shCheck,6,2) self.shValue = qt.QLineEdit(self.tabPeakShape) tabPeakShapeLayout.addWidget(self.shValue,6,3) self.shSep = qt.QLabel(self.tabPeakShape) shSep_font = qt.QFont(self.shSep.font()) shSep_font.setBold(1) self.shSep.setFont(shSep_font) self.shSep.setText(str("+/-")) tabPeakShapeLayout.addWidget(self.shSep,6,4) self.shError = qt.QLineEdit(self.tabPeakShape) tabPeakShapeLayout.addWidget(self.shError,6,5) # Pseudo-Voigt Eta Factor self.etaLabel = qt.QLabel(self.tabPeakShape) self.etaLabel.setText(str("Pseudo-Voigt Eta")) tabPeakShapeLayout.addWidget(self.etaLabel,7,0) self.etaCheck = qt.QCheckBox(self.tabPeakShape) self.etaCheck.setText(str("")) tabPeakShapeLayout.addWidget(self.etaCheck,7,2) self.etaValue = qt.QLineEdit(self.tabPeakShape) tabPeakShapeLayout.addWidget(self.etaValue,7,3) self.etaSep = qt.QLabel(self.tabPeakShape) etaSep_font = qt.QFont(self.etaSep.font()) etaSep_font.setBold(1) self.etaSep.setFont(etaSep_font) self.etaSep.setText(str("+/-")) tabPeakShapeLayout.addWidget(self.etaSep,7,4) self.etaError = qt.QLineEdit(self.tabPeakShape) tabPeakShapeLayout.addWidget(self.etaError,7,5) self.mainTab.addTab(self.tabPeakShape,str("PEAK SHAPE")) FitParamFormLayout.addWidget(self.mainTab) self.setTabOrder(self.mainTab,self.elementCombo) self.setTabOrder(self.zeroCheck,self.zeroValue) self.setTabOrder(self.zeroValue,self.zeroError) self.setTabOrder(self.zeroError,self.gainCheck) self.setTabOrder(self.gainCheck,self.gainValue) self.setTabOrder(self.gainValue,self.gainError) self.setTabOrder(self.gainError,self.noiseCheck) self.setTabOrder(self.noiseCheck,self.noiseValue) self.setTabOrder(self.noiseValue,self.noiseError) self.setTabOrder(self.noiseError,self.fanoCheck) self.setTabOrder(self.fanoCheck,self.fanoValue) self.setTabOrder(self.fanoValue,self.fanoError) self.setTabOrder(self.fanoError,self.staCheck) self.setTabOrder(self.staCheck,self.staValue) self.setTabOrder(self.staValue,self.staError) self.setTabOrder(self.staError,self.stsCheck) self.setTabOrder(self.stsCheck,self.stsValue) self.setTabOrder(self.stsValue,self.stsError) self.setTabOrder(self.stsError,self.ltaCheck) self.setTabOrder(self.ltaCheck,self.ltaValue) self.setTabOrder(self.ltaValue,self.ltaError) self.setTabOrder(self.ltaError,self.ltsCheck) self.setTabOrder(self.ltsCheck,self.ltsValue) self.setTabOrder(self.ltsValue,self.ltsError) self.setTabOrder(self.ltsError,self.shCheck) self.setTabOrder(self.shCheck,self.shValue) self.setTabOrder(self.shValue,self.shError) self.setTabOrder(self.shError,self.contCombo) self.setTabOrder(self.contCombo,self.stripCombo) self.setTabOrder(self.stripCombo,self.iterSpin) self.setTabOrder(self.iterSpin,self.chi2Value) self.setTabOrder(self.chi2Value,self.regionCheck) self.setTabOrder(self.regionCheck,self.minSpin) self.setTabOrder(self.minSpin,self.maxSpin) self.setTabOrder(self.maxSpin,self.stripCheck) self.setTabOrder(self.stripCheck,self.escapeCheck) self.setTabOrder(self.escapeCheck,self.sumCheck) self.setTabOrder(self.sumCheck,self.scatterCheck) self.setTabOrder(self.scatterCheck,self.shortCheck) self.setTabOrder(self.shortCheck,self.longCheck) self.setTabOrder(self.longCheck,self.stepCheck) self._stripComboActivated(0) def _stripComboActivated(self, intValue): if intValue == 1: self.setSNIP(True) else: self.setSNIP(False) def setSNIP(self, bValue): if bValue: self.snipWidthSpin.setEnabled(True) self.stripWidthSpin.setEnabled(False) #self.stripFilterSpin.setEnabled(False) self.stripIterValue.setEnabled(False) self.stripCombo.setCurrentIndex(1) else: self.snipWidthSpin.setEnabled(False) #self.stripFilterSpin.setEnabled(True) self.stripWidthSpin.setEnabled(True) self.stripIterValue.setEnabled(True) self.stripCombo.setCurrentIndex(0) if __name__ == "__main__": a = qt.QApplication(sys.argv) a.lastWindowClosed.connect(a.quit) w = FitParamForm() w.show() a.exec_() �����������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/QPeriodicTable.py������������������������������������������0000644�0002763�0000175�00000052121�13136054446�023170� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "E. Papillon & V. Armando Sole - ESRF Software Group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() # # Symbol Atomic Number x y ( positions on table ) # name, mass, density # DEBUG = 0 Elements = [ ["H", 1, 1,1, "hydrogen", 1.00800, 1008.00 ], ["He", 2, 18,1, "helium", 4.00300, 0.118500 ], ["Li", 3, 1,2, "lithium", 6.94000, 534.000 ], ["Be", 4, 2,2, "beryllium", 9.01200, 1848.00 ], ["B", 5, 13,2, "boron", 10.8110, 2340.00 ], ["C", 6, 14,2, "carbon", 12.0100, 1580.00 ], ["N", 7, 15,2, "nitrogen", 14.0080, 1.25 ], ["O", 8, 16,2, "oxygen", 16.0000, 1.429 ], ["F", 9, 17,2, "fluorine", 19.0000, 1108.00 ], ["Ne", 10, 18,2, "neon", 20.1830, 0.9 ], ["Na", 11, 1,3, "sodium", 22.9970, 970.000 ], ["Mg", 12, 2,3, "magnesium", 24.3200, 1740.00 ], ["Al", 13, 13,3, "aluminium", 26.9700, 2720.00 ], ["Si", 14, 14,3, "silicon", 28.0860, 2330.00 ], ["P", 15, 15,3, "phosphorus", 30.9750, 1820.00 ], ["S", 16, 16,3, "sulphur", 32.0660, 2000.00 ], ["Cl", 17, 17,3, "chlorine", 35.4570, 1560.00 ], ["Ar", 18, 18,3, "argon", 39.9440, 1.78400 ], ["K", 19, 1,4, "potassium", 39.1020, 862.000 ], ["Ca", 20, 2,4, "calcium", 40.0800, 1550.00 ], ["Sc", 21, 3,4, "scandium", 44.9600, 2992.00 ], ["Ti", 22, 4,4, "titanium", 47.9000, 4540.00 ], ["V", 23, 5,4, "vanadium", 50.9420, 6110.00 ], ["Cr", 24, 6,4, "chromium", 51.9960, 7190.00 ], ["Mn", 25, 7,4, "manganese", 54.9400, 7420.00 ], ["Fe", 26, 8,4, "iron", 55.8500, 7860.00 ], ["Co", 27, 9,4, "cobalt", 58.9330, 8900.00 ], ["Ni", 28, 10,4, "nickel", 58.6900, 8900.00 ], ["Cu", 29, 11,4, "copper", 63.5400, 8940.00 ], ["Zn", 30, 12,4, "zinc", 65.3800, 7140.00 ], ["Ga", 31, 13,4, "gallium", 69.7200, 5903.00 ], ["Ge", 32, 14,4, "germanium", 72.5900, 5323.00 ], ["As", 33, 15,4, "arsenic", 74.9200, 5730.00 ], ["Se", 34, 16,4, "selenium", 78.9600, 4790.00 ], ["Br", 35, 17,4, "bromine", 79.9200, 3120.00 ], ["Kr", 36, 18,4, "krypton", 83.8000, 3.74000 ], ["Rb", 37, 1,5, "rubidium", 85.4800, 1532.00 ], ["Sr", 38, 2,5, "strontium", 87.6200, 2540.00 ], ["Y", 39, 3,5, "yttrium", 88.9050, 4405.00 ], ["Zr", 40, 4,5, "zirconium", 91.2200, 6530.00 ], ["Nb", 41, 5,5, "niobium", 92.9060, 8570.00 ], ["Mo", 42, 6,5, "molybdenum", 95.9500, 10220.00 ], ["Tc", 43, 7,5, "technetium", 99.0000, 11500.0 ], ["Ru", 44, 8,5, "ruthenium", 101.0700, 12410.0 ], ["Rh", 45, 9,5, "rhodium", 102.9100, 12440.0 ], ["Pd", 46, 10,5, "palladium", 106.400, 12160.0 ], ["Ag", 47, 11,5, "silver", 107.880, 10500.00 ], ["Cd", 48, 12,5, "cadmium", 112.410, 8650.00 ], ["In", 49, 13,5, "indium", 114.820, 7280.00 ], ["Sn", 50, 14,5, "tin", 118.690, 5310.00 ], ["Sb", 51, 15,5, "antimony", 121.760, 6691.00 ], ["Te", 52, 16,5, "tellurium", 127.600, 6240.00 ], ["I", 53, 17,5, "iodine", 126.910, 4940.00 ], ["Xe", 54, 18,5, "xenon", 131.300, 5.90000 ], ["Cs", 55, 1,6, "caesium", 132.910, 1873.00 ], ["Ba", 56, 2,6, "barium", 137.360, 3500.00 ], ["La", 57, 3,6, "lanthanum", 138.920, 6150.00 ], ["Ce", 58, 4,9, "cerium", 140.130, 6670.00 ], ["Pr", 59, 5,9, "praseodymium",140.920, 6769.00 ], ["Nd", 60, 6,9, "neodymium", 144.270, 6960.00 ], ["Pm", 61, 7,9, "promethium", 147.000, 6782.00 ], ["Sm", 62, 8,9, "samarium", 150.350, 7536.00 ], ["Eu", 63, 9,9, "europium", 152.000, 5259.00 ], ["Gd", 64, 10,9, "gadolinium", 157.260, 7950.00 ], ["Tb", 65, 11,9, "terbium", 158.930, 8272.00 ], ["Dy", 66, 12,9, "dysprosium", 162.510, 8536.00 ], ["Ho", 67, 13,9, "holmium", 164.940, 8803.00 ], ["Er", 68, 14,9, "erbium", 167.270, 9051.00 ], ["Tm", 69, 15,9, "thulium", 168.940, 9332.00 ], ["Yb", 70, 16,9, "ytterbium", 173.040, 6977.00 ], ["Lu", 71, 17,9, "lutetium", 174.990, 9842.00 ], ["Hf", 72, 4,6, "hafnium", 178.500, 13300.0 ], ["Ta", 73, 5,6, "tantalum", 180.950, 16600.0 ], ["W", 74, 6,6, "tungsten", 183.920, 19300.0 ], ["Re", 75, 7,6, "rhenium", 186.200, 21020.0 ], ["Os", 76, 8,6, "osmium", 190.200, 22500.0 ], ["Ir", 77, 9,6, "iridium", 192.200, 22420.0 ], ["Pt", 78, 10,6, "platinum", 195.090, 21370.0 ], ["Au", 79, 11,6, "gold", 197.200, 19370.0 ], ["Hg", 80, 12,6, "mercury", 200.610, 13546.0 ], ["Tl", 81, 13,6, "thallium", 204.390, 11860.0 ], ["Pb", 82, 14,6, "lead", 207.210, 11340.0 ], ["Bi", 83, 15,6, "bismuth", 209.000, 9800.00 ], ["Po", 84, 16,6, "polonium", 209.000, 0 ], ["At", 85, 17,6, "astatine", 210.000, 0 ], ["Rn", 86, 18,6, "radon", 222.000, 9.73000 ], ["Fr", 87, 1,7, "francium", 223.000, 0 ], ["Ra", 88, 2,7, "radium", 226.000, 0 ], ["Ac", 89, 3,7, "actinium", 227.000, 0 ], ["Th", 90, 4,10, "thorium", 232.000, 11700.0 ], ["Pa", 91, 5,10, "proactinium",231.03588, 0 ], ["U", 92, 6,10, "uranium", 238.070, 19050.0 ], ["Np", 93, 7,10, "neptunium", 237.000, 0 ], ["Pu", 94, 8,10, "plutonium", 239.100, 19700.0 ], ["Am", 95, 9,10, "americium", 243, 0 ], ["Cm", 96, 10,10, "curium", 247, 0 ], ["Bk", 97, 11,10, "berkelium", 247, 0 ], ["Cf", 98, 12,10, "californium",251, 0 ], ["Es", 99, 13,10, "einsteinium",252, 0 ], ["Fm", 100, 14,10, "fermium", 257, 0 ], ["Md", 101, 15,10, "mendelevium",258, 0 ], ["No", 102, 16,10, "nobelium", 259, 0 ], ["Lr", 103, 17,10, "lawrencium", 262, 0 ], ["Rf", 104, 4,7, "rutherfordium",261, 0 ], ["Db", 105, 5,7, "dubnium", 262, 0 ], ["Sg", 106, 6,7, "seaborgium", 266, 0 ], ["Bh", 107, 7,7, "bohrium", 264, 0 ], ["Hs", 108, 8,7, "hassium", 269, 0 ], ["Mt", 109, 9,7, "meitnerium", 268, 0 ], ] ElementList= [ elt[0] for elt in Elements ] class ElementButton(qt.QPushButton): sigElementEnter = qt.pyqtSignal(object) sigElementLeave = qt.pyqtSignal(object) sigElementClicked = qt.pyqtSignal(object) def __init__(self, parent, symbol, Z, name): qt.QPushButton.__init__(self, parent) self.symbol = symbol self.Z = Z self.name = name self.setText(symbol) self.setFlat(1) self.setCheckable(0) self.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Expanding, qt.QSizePolicy.Expanding)) self.selected= 0 self.current= 0 self.colors= [ qt.QColor(qt.Qt.yellow), qt.QColor(qt.Qt.darkYellow), qt.QColor(qt.Qt.gray) ] self.brush= qt.QBrush() self.clicked.connect(self.clickedSlot) def sizeHint(self): return qt.QSize(40, 40) def setCurrent(self, b): self.current= b self.__setBrush() def isCurrent(self): return self.current def isSelected(self): return self.selected def setSelected(self, b): self.selected= b self.__setBrush() def __setBrush(self): role = self.backgroundRole() palette = self.palette() if self.current and self.selected: self.brush= qt.QBrush(self.colors[1]) elif self.selected: self.brush= qt.QBrush(self.colors[0]) elif self.current: self.brush= qt.QBrush(self.colors[2]) else: self.brush= qt.QBrush() palette.setBrush( role,self.brush) self.update() def paintEvent(self, pEvent): p = qt.QPainter(self) wr= self.rect() pr= qt.QRect(wr.left()+1, wr.top()+1, wr.width()-2, wr.height()-2) if self.brush is not None: p.fillRect(pr, self.brush) p.setPen(qt.Qt.black) p.drawRect(pr) p.end() qt.QPushButton.paintEvent(self, pEvent) def drawButton(self, p): #Qt 2 and Qt3 wr= self.rect() pr= qt.QRect(wr.left()+1, wr.top()+1, wr.width()-2, wr.height()-2) if self.brush is not None: p.fillRect(pr, self.brush) qt.QPushButton.drawButtonLabel(self, p) p.setPen(qt.Qt.black) p.drawRect(pr) def enterEvent(self, e): self.sigElementEnter.emit((self.symbol, self.Z, self.name)) def leaveEvent(self, e): self.sigElementLeave.emit(self.symbol) def clickedSlot(self): self.sigElementClicked.emit(self.symbol) class QPeriodicTable(qt.QWidget): """ Periodic Table - qt.Qt version Public methods: setSelection(eltlist): set all elements in eltlist selected if mode single, set last element of eltlist selected getSelection(): get list of selected elements Signal: sigElementClicked(symbol): """ sigElementClicked = qt.pyqtSignal(object) def __init__(self, parent=None, name="PeriodicTable", fl=0): qt.QWidget.__init__(self,parent) self.setWindowTitle(name) self.gridLayout= qt.QGridLayout(self) self.gridLayout.setContentsMargins(0, 0, 0, 0) #, 6, 10, 0, 0, "PTLayout") self.gridLayout.addItem(qt.QSpacerItem(0, 5), 7, 0) for idx in range(10): self.gridLayout.setRowStretch(idx, 3) self.gridLayout.setRowStretch(7, 2) self.eltLabel= qt.QLabel(self) f= self.eltLabel.font() f.setBold(1) self.eltLabel.setFont(f) self.eltLabel.setAlignment(qt.Qt.AlignHCenter) self.gridLayout.addWidget(self.eltLabel, 1, 1, 3, 10) self.eltCurrent= None self.eltButton= {} for (symbol, Z, x, y, name, mass, density) in Elements: self.__addElement(symbol, Z, name, y-1, x-1) def __addElement(self, symbol, Z, name, row, col): b= ElementButton(self, symbol, Z, name) b.setAutoDefault(False) self.eltButton[symbol]= b self.gridLayout.addWidget(b, row, col) b.sigElementEnter.connect(self.elementEnter) b.sigElementLeave.connect(self.elementLeave) b.sigElementClicked.connect(self.elementClicked) def elementEnter(self, *var): if len(var) == 1: symbol, z, name = var[0] else: symbol, z, name = var self.eltLabel.setText("%s(%d) - %s"%(symbol, z, name)) def elementLeave(self, symbol): self.eltLabel.setText("") def elementClicked(self, symbol): if self.eltCurrent is not None: self.eltCurrent.setCurrent(0) symbol = str(symbol) self.eltButton[symbol].setCurrent(1) self.eltCurrent= self.eltButton[symbol] self.sigElementClicked.emit(symbol) def getSelection(self): return [ e for (e,b) in self.eltButton.items() if b.isSelected() ] def setSelection(self, symbolList): for (e,b) in self.eltButton.items(): b.setSelected(e in symbolList) def setElementSelected(self, symbol, state): self.eltButton[symbol].setSelected(state) def isElementSelected(self, symbol): return self.eltButton[symbol].isSelected() def elementToggle(self, symbol): symbol = str(symbol) b= self.eltButton[symbol] b.setSelected(not b.isSelected()) class QPeriodicComboTableItem(qt.QComboBox): """ Periodic Table Combo List to be used in a QTable Init options: table (mandatory)= parent QTable addnone= 1 (default) add "-" in the list to provide possibility to select no specific element. 0 only element list. detailed= 1 (default) display element symbol, Z and name 0 display only element symbol and Z Public methods: setSelection(eltsymbol): Set the element selected given its symbol getSelection(): Return symbol of element selected Signals: No specific signals. Use signals from QTable valueChanged(int,int) for example. """ def __init__(self, table, addnone=1, detailed=0): strlist= qt.QStringList() self.addnone= (addnone==1) if self.addnone: strlist.append("-") for (symbol, Z, x, y, name, mass, density) in Elements: if detailed: txt= "%2s (%d) - %s" % (symbol, Z, name) else: txt= "%2s (%d)" % (symbol, Z) strlist.append(txt) qt.QComboBox.__init__(self) self.addItems(strlist) print("still to continue") def setSelection(self, symbol=None): if symbol is None: if self.addnone: self.setCurrentItem(0) else: idx= self.addnone+ElementList[symbol] self.setCurrentItem(idx) def getSelection(self): idx = self.currentItem() if self.addnone and not idx: return None else: return ElementList[idx - self.addnone] class QPeriodicCombo(qt.QComboBox): """ Periodic Table Element list in a QComboBox Init options: detailed= 1 (default) display element symbol, Z and name 0 display only element symbol and Z Public methods: setSelection(eltsymbol): Set the element selected given its symbol getSelection(): Return symbol of element selected Signal: sigSelectionChanged(elt): signal sent when the selection changed send symbol of element selected """ sigSelectionChanged = qt.pyqtSignal(object) def __init__(self, parent=None, name=None, detailed=1): qt.QComboBox.__init__(self, parent) i = 0 for (symbol, Z, x, y, name, mass, density) in Elements: if detailed: txt= "%2s (%d) - %s"%(symbol, Z, name) else: txt= "%2s (%d)"%(symbol, Z) self.insertItem(i,txt) i += 1 self.activated[int].connect(self.__selectionChanged) def __selectionChanged(self, idx): self.sigSelectionChanged.emit(Elements[idx][0]) def getSelection(self): return Elements[self.currentItem()] def setSelection(self, symbol): symblist= [ elt[0] for elt in Elements ] self.setCurrentItem(symblist.index(symbol)) class QPeriodicList(qt.QTreeWidget): """ Periodic Table Element list in a QListView Init options: detailed= 1 (default) display element symbol, Z and name 0 display only element symbol and Z single= 1 for single element selection mode 0 (default) for multi element selection mode Public methods: setSelection(symbollist): Set the list of symbol selected getSelection(): Return the list of symbol selected Signal: sigSelectionChanged(elt): signal sent when the selection changed send list of symbol selected """ sigSelectionChanged = qt.pyqtSignal(object) sigItemSelectionChanged = qt.pyqtSignal(object) def __init__(self, master=None, name=None, fl=0, detailed=1, single=0): qt.QTreeWidget.__init__(self, master) self.detailed= (detailed==1) try: strlist= QStringList() except: strlist= [] strlist.append("Z") strlist.append("Symbol") if detailed: strlist.append("Name") self.setColumnCount(3) else: self.setColumnCount(2) self.setHeaderLabels(strlist) self.header().setStretchLastSection(False) self.setRootIsDecorated(0) self.sigItemSelectionChanged.connect(self.__selectionChanged) print("what to do? ") """ self.header().setClickEnabled(0, -1) self.setAllColumnsShowFocus(1) self.setSelectionMode((single and QListView.Single) or QListView.Extended) self.setSorting(-1) """ self.setSelectionMode((single and qt.QAbstractItemView.SingleSelection) or qt.QAbstractItemView.ExtendedSelection) self.__fill_list() self.resizeColumnToContents(0) self.resizeColumnToContents(1) if detailed: self.resizeColumnToContents(2) def __fill_list(self): self.items= [] after= None for (symbol, Z, x, y, name, mass, density) in Elements: if after is None: item= qt.QTreeWidgetItem(self) else: item= qt.QTreeWidgetItem(self, after) item.setText(0, str(Z)) item.setText(1, symbol) if self.detailed: item.setText(2, name) self.items.append(item) after= item """ def setSelection(self, symbolList): for idx in range(len(self.items)): self.items[idx].setSelected(Elements[idx][0] in symbolList) """ def __selectionChanged(self): self.sigSelectionChanged.emit(self.getSelection()) def getSelection(self): return [ Elements[idx][0] for idx in range(len(self.items)) \ if self.isItemSelected(self.items[idx]) ] #return self.selectedItems() #TODO: Implement this in Qt4 if QTVERSION < "4.0.0": def setSelection(self, symbolList): for idx in range(len(self.items)): self.items[idx].setSelected(Elements[idx][0] in symbolList) def testwidget(): def change(list): print("New selection:", list) a = qt.QApplication(sys.argv) a.lastWindowClosed.connect(a.quit) w = qt.QTabWidget() f = QPeriodicTable() o= qt.QWidget() ol= qt.QVBoxLayout(o) #ol.setAutoAdd(1) tlabel = qt.QLabel("QPeriodicCombo", o) ol.addWidget(tlabel) c = QPeriodicCombo(o) ol.addWidget(c) t = qt.QLabel("QPeriodicList", o) ol.addWidget(t) l = QPeriodicList(o) ol.addWidget(l) tab = qt.QTableWidget() tab.setRowCount(2) tab.setColumnCount(1) tab.setCellWidget(0, 0, QPeriodicCombo(tab, detailed=0)) tab.setCellWidget(1, 0, QPeriodicCombo(tab, detailed=0)) w.addTab(f, "QPeriodicTable") w.addTab(o, "QPeriodicList/Combo") w.addTab(tab, "QPeriodicComboTableItem") f.setSelection(['H', 'Fe', 'Si']) f.sigElementClicked.connect(f.elementToggle) l.sigSelectionChanged.connect(change) c.sigSelectionChanged.connect(change) w.show() a.exec_() if __name__ == "__main__": testwidget() �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/MaterialEditor.py������������������������������������������0000644�0002763�0000175�00000115266�13136054446�023260� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import copy import numpy import traceback from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaPhysics import Elements from PyMca5.PyMcaGui import PlotWindow ScanWindow = PlotWindow.PlotWindow if hasattr(qt, "QString"): QString = qt.QString else: QString = str DEBUG = 0 class MaterialEditor(qt.QWidget): def __init__(self, parent=None, name="Material Editor", comments=True, height= 7, graph=None, toolmode=False): qt.QWidget.__init__(self, parent) self.setWindowTitle(name) if graph is None: self.graph = None self.graphDialog = None else: if isinstance(graph, qt.QDialog): self.graphDialog = graph self.graph = self.graphDialog.graph else: self.graphDialog = None self.graph = graph self.__toolMode = toolmode self.build(comments, height) def build(self,comments, height): a = [] for key in Elements.Material.keys(): a.append(key) a.sort() if self.__toolMode: layout = qt.QHBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) else: layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) self.__hboxMaterialCombo = qt.QWidget(self) hbox = self.__hboxMaterialCombo hboxlayout = qt.QHBoxLayout(hbox) hboxlayout.setContentsMargins(0, 0, 0, 0) hboxlayout.setSpacing(0) label = qt.QLabel(hbox) label.setText("Enter name of material to be defined:") self.matCombo = MaterialComboBox(hbox,options=a) hboxlayout.addWidget(label) hboxlayout.addWidget(self.matCombo) layout.addWidget(hbox) #self.matCombo.setEditable(True) self.matCombo.sigMaterialComboBoxSignal.connect( \ self._comboSlot) self.materialGUI = MaterialGUI(self, comments=comments, height=height, toolmode=self.__toolMode) self.materialGUI.sigMaterialTransmissionSignal.connect( \ self._transmissionSlot) self.materialGUI.sigMaterialMassAttenuationSignal.connect( \ self._massAttenuationSlot) if self.__toolMode: self.materialGUI.setCurrent(a[0]) if (self.graph is None): self.graph = ScanWindow(self, newplot=False, fit=False, plugins=False, control=True, position=True) self.graph._togglePointsSignal() self.graph.enableOwnSave(True) layout.addWidget(self.materialGUI) layout.addWidget(self.graph) else: self.materialGUI.setCurrent(a[0]) layout.addWidget(self.materialGUI) def importFile(self, filename): if not os.path.exists(filename): qt.QMessageBox.critical(self, "ERROR opening file", "File %s not found" % filename) return 1 Elements.Material.read(filename) error = 0 for material in list(Elements.Material.keys()): keys = list(Elements.Material[material].keys()) compoundList = [] if "CompoundList" in keys: compoundList = Elements.Material[material]["CompoundList"] if "CompoundFraction" in keys: compoundFraction = Elements.Material[material]["CompoundFraction"] if (compoundList == []) or (compoundFraction == []): #no message? error = 1 del Elements.Material[material] continue #I should try to calculate the attenuation at one energy ... try: Elements.getMaterialMassAttenuationCoefficients(compoundList, compoundFraction, energy = 10.0) except: #no message? error = 1 del Elements.Material[material] if DEBUG: raise continue return error def _comboSlot(self, ddict): self.materialGUI.setCurrent(ddict['text']) def _addGraphDialogButton(self): self.graphDialog.okButton = qt.QPushButton(self.graphDialog) self.graphDialog.okButton.setText('OK') self.graphDialog.okButton.setAutoDefault(True) self.graphDialog.mainLayout.addWidget(self.graphDialog.okButton) self.graphDialog.okButton.clicked.connect( \ self.graphDialog.accept) def _transmissionSlot(self, ddict): try: compoundList = ddict['CompoundList'] fractionList = ddict['CompoundFraction'] density = ddict['Density'] thickness = ddict.get('Thickness', 0.1) energy = numpy.arange(1, 100, 0.1) data=Elements.getMaterialTransmission(compoundList, fractionList, energy, density=density, thickness=thickness, listoutput=False) addButton = False if self.graph is None: self.graphDialog = qt.QDialog(self) self.graphDialog.mainLayout = qt.QVBoxLayout(self.graphDialog) self.graphDialog.mainLayout.setContentsMargins(0, 0, 0, 0) self.graphDialog.mainLayout.setSpacing(0) self.graph = ScanWindow.ScanWindow(self.graphDialog) self.graphDialog.mainLayout.addWidget(self.graph) self.graph._togglePointsSignal() self.graph.graph.crossPicker.setEnabled(False) addButton = True if addButton: self._addGraphDialogButton() if self.__toolMode: legend = ddict['Comment'] else: legend = str(self.matCombo.currentText()) +\ " with density = %f g/cm3" % density +\ " and thickness = %f cm" % thickness self.graph.addCurve(energy, data['transmission'], legend=legend, xlabel='Energy (keV)', ylabel='Transmission', replace=True) self.graph.setGraphTitle(ddict['Comment']) if self.graphDialog is not None: self.graphDialog.exec_() except: msg=qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() def _massAttenuationSlot(self, ddict): try: compoundList = ddict['CompoundList'] fractionList = ddict['CompoundFraction'] energy = numpy.arange(1, 100, 0.1) data=Elements.getMaterialMassAttenuationCoefficients(compoundList, fractionList, energy) addButton = False if self.graph is None: self.graphDialog = qt.QDialog(self) self.graphDialog.mainLayout = qt.QVBoxLayout(self.graphDialog) self.graphDialog.mainLayout.setContentsMargins(0, 0, 0, 0) self.graphDialog.mainLayout.setSpacing(0) self.graph = ScanWindow.ScanWindow(self.graphDialog) self.graphDialog.mainLayout.addWidget(self.graph) self.graph._togglePointsSignal() self.graph.graph.crossPicker.setEnabled(False) addButton = True if addButton: self._addGraphDialogButton() self.graph.setGraphTitle(ddict['Comment']) legend = 'Coherent' self.graph.addCurve(energy, numpy.array(data[legend.lower()]), legend=legend, xlabel='Energy (keV)', ylabel='Mass Att. (cm2/g)', replace=True, replot=False) for legend in ['Compton', 'Photo','Total']: self.graph.addCurve(energy, numpy.array(data[legend.lower()]), legend=legend, xlabel='Energy (keV)', ylabel='Mass Att. (cm2/g)', replace=False, replot=False) self.graph.setActiveCurve(legend+' '+'Mass Att. (cm2/g)') self.graph.setGraphTitle(ddict['Comment']) if self.graphDialog is not None: self.graphDialog.exec_() except: msg=qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() def closeEvent(self, event): if self.graph is not None: self.graph.close() qt.QWidget.closeEvent(self, event) class MaterialComboBox(qt.QComboBox): sigMaterialComboBoxSignal = qt.pyqtSignal(object) def __init__(self,parent = None,name = None,fl = 0, options=['1','2','3'],row=None,col=None): if row is None: row = 0 if col is None: col = 0 self.row = row self.col = col qt.QComboBox.__init__(self,parent) self.setOptions(options) self.ownValidator = MaterialValidator(self) self.setDuplicatesEnabled(False) self.setEditable(True) self._line = self.lineEdit() self.activated[str].connect(self._mySignal) self._line.editingFinished.connect(self._mySlot) def setCurrentText(self, qstring): qt.QComboBox.setEditText(self, qstring) def setOptions(self,options=['1','2','3']): self.clear() for item in options: self.addItem(item) def getCurrent(self): return self.currentItem(),str(self.currentText()) def _mySignal(self, qstring0): qstring = qstring0 text = str(qstring0) if text == '-': return (result, index) = self.ownValidator.validate(qstring,0) if result != self.ownValidator.Valid: qstring = self.ownValidator.fixup(qstring) (result, index) = self.ownValidator.validate(qstring,0) if result != self.ownValidator.Valid: text = str(qstring) if text.endswith(" "): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Material Name '%s'\n" % text + \ "It ends with a space character.\n") msg.exec_() msg = qt.QMessageBox.No else: try: # this test is needed even if pyflakes complains float(text) msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Material Name %s\n" % text + \ "You cannot use a number as material name.\n" +\ "Hint: You can use _%s_" % text) msg.exec_() msg = qt.QMessageBox.No except: msg=qt.QMessageBox.information( self, "Invalid Material %s" % str(qstring), "The material %s is not a valid Formula " \ "nor a valid Material.\n" \ "Do you want to define the material %s\n" % \ (str(qstring), str(qstring)), qt.QMessageBox.Yes,qt.QMessageBox.No) if msg == qt.QMessageBox.No: self.setCurrentIndex(0) for i in range(self.count()): selftext = self.itemText(i) if selftext == qstring0: self.removeItem(i) return else: qstring = qstring0 text = str(qstring) if Elements.isValidFormula(text): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Material Name %s\n" % text + \ "The material is a valid Formula.\n " \ "There is no need to define it.") msg.exec_() self.setCurrentIndex(0) for i in range(self.count()): selftext = self.itemText(i) if selftext == qstring0: self.removeItem(i) break return self.setCurrentText(text) ddict = {} ddict['event'] = 'activated' ddict['row'] = self.row ddict['col'] = self.col ddict['text'] = text if qstring0 != qstring: self.removeItem(self.count()-1) insert = True for i in range(self.count()): selftext = self.itemText(i) if qstring == selftext: insert = False if insert: self.insertItem(self.count(), qstring) self.sigMaterialComboBoxSignal.emit(ddict) def _mySlot(self): self._mySignal(self.currentText()) class MaterialValidator(qt.QValidator): def __init__(self, *var): qt.QValidator.__init__(self, *var) self.Valid = self.Acceptable def fixup(self, qstring): if qstring is None: return None text = str(qstring) key = Elements.getMaterialKey(text) if key is not None: return QString(key) else: return qstring def validate(self, qstring, pos): text = str(qstring) if text == '-': return (self.Valid, pos) try: # this test is needed even if pyflakes complains! float(text) return (self.Invalid, pos) except: pass if text.endswith(' '): return (self.Invalid, pos) if Elements.isValidFormula(text): return (self.Valid, pos) elif Elements.isValidMaterial(text): return (self.Valid, pos) else: return (self.Invalid,pos) class MaterialGUI(qt.QWidget): sigMaterialMassAttenuationSignal = qt.pyqtSignal(object) sigMaterialTransmissionSignal = qt.pyqtSignal(object) def __init__(self, parent=None, name="New Material",default={}, comments=True, height=10, toolmode=False): qt.QWidget.__init__(self, parent) self.setWindowTitle(name) self._default = default self._setCurrentDefault() for key in default.keys(): if key in self._current: self._current[key] = self._default[key] self.__lastRow = None self.__lastColumn = None self.__fillingValues = True self.__toolMode = toolmode if toolmode: self.buildToolMode(comments,height) else: self.build(comments,height) def _setCurrentDefault(self): self._current = {'Comment':"New Material", 'CompoundList':[], 'CompoundFraction':[1.0], 'Density':1.0, 'Thickness':1.0} def build(self,comments="True",height=3): layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) self.__comments = comments commentsHBox = qt.QWidget(self) layout.addWidget(commentsHBox) commentsHBoxLayout = qt.QHBoxLayout(commentsHBox) commentsHBoxLayout.setContentsMargins(0, 0, 0, 0) commentsHBoxLayout.setSpacing(0) tableContainer = qt.QWidget(commentsHBox) commentsHBoxLayout.addWidget(tableContainer) tableContainerLayout = qt.QVBoxLayout(tableContainer) tableContainerLayout.setContentsMargins(0, 0, 0, 0) tableContainerLayout.setSpacing(0) self.__hboxTableContainer = qt.QWidget(tableContainer) hbox = self.__hboxTableContainer tableContainerLayout.addWidget(hbox) hboxLayout = qt.QHBoxLayout(hbox) hboxLayout.setContentsMargins(0, 0, 0, 0) hboxLayout.setSpacing(0) numberLabel = qt.QLabel(hbox) hboxLayout.addWidget(numberLabel) numberLabel.setText("Number of Compounds:") numberLabel.setAlignment(qt.Qt.AlignVCenter) self.__numberSpin = qt.QSpinBox(hbox) hboxLayout.addWidget(self.__numberSpin) self.__numberSpin.setMinimum(1) self.__numberSpin.setMaximum(100) self.__numberSpin.setValue(1) self.__table = qt.QTableWidget(tableContainer) self.__table.setRowCount(1) self.__table.setColumnCount(2) tableContainerLayout.addWidget(self.__table) self.__table.setMinimumHeight((height)*self.__table.horizontalHeader().sizeHint().height()) self.__table.setMaximumHeight((height)*self.__table.horizontalHeader().sizeHint().height()) self.__table.setMinimumWidth(1*self.__table.sizeHint().width()) self.__table.setMaximumWidth(1*self.__table.sizeHint().width()) #self.__table.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed,qt.QSizePolicy.Fixed)) labels = ["Material", "Mass Fraction"] for i in range(len(labels)): item = self.__table.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(labels[i],qt.QTableWidgetItem.Type) self.__table.setHorizontalHeaderItem(i,item) self.__table.setSelectionMode(qt.QTableWidget.NoSelection) if self.__comments: vbox = qt.QWidget(commentsHBox) commentsHBoxLayout.addWidget(vbox) vboxLayout = qt.QVBoxLayout(vbox) #default thickness and density self.__gridVBox = qt.QWidget(vbox) grid = self.__gridVBox vboxLayout.addWidget(grid) gridLayout = qt.QGridLayout(grid) gridLayout.setContentsMargins(11, 11, 11, 11) gridLayout.setSpacing(4) densityLabel = qt.QLabel(grid) gridLayout.addWidget(densityLabel, 0, 0) densityLabel.setText("Default Density (g/cm3):") densityLabel.setAlignment(qt.Qt.AlignVCenter) self.__densityLine = qt.QLineEdit(grid) validator = qt.QDoubleValidator(self.__densityLine) self.__densityLine.setValidator(validator) self.__densityLine.setReadOnly(False) gridLayout.addWidget(self.__densityLine, 0, 1) thicknessLabel = qt.QLabel(grid) gridLayout.addWidget(thicknessLabel, 1, 0) thicknessLabel.setText("Default Thickness (cm):") thicknessLabel.setAlignment(qt.Qt.AlignVCenter) self.__thicknessLine = qt.QLineEdit(grid) validator = qt.QDoubleValidator(self.__thicknessLine) self.__thicknessLine.setValidator(validator) gridLayout.addWidget(self.__thicknessLine, 1, 1) self.__thicknessLine.setReadOnly(False) self.__densityLine.editingFinished[()].connect( \ self.__densitySlot) self.__thicknessLine.editingFinished[()].connect( \ self.__thicknessSlot) self.__transmissionButton = qt.QPushButton(grid) self.__transmissionButton.setText('Material Transmission') gridLayout.addWidget(self.__transmissionButton, 2, 0) self.__massAttButton = qt.QPushButton(grid) self.__massAttButton.setText('Mass Att. Coefficients') gridLayout.addWidget(self.__massAttButton, 2, 1) self.__transmissionButton.setAutoDefault(False) self.__massAttButton.setAutoDefault(False) self.__transmissionButton.clicked.connect( self.__transmissionSlot) self.__massAttButton.clicked.connect( self.__massAttSlot) vboxLayout.addWidget(qt.VerticalSpacer(vbox)) if self.__comments: #comment nameHBox = qt.QWidget(self) nameHBoxLayout = qt.QHBoxLayout(nameHBox) nameLabel = qt.QLabel(nameHBox) nameHBoxLayout.addWidget(nameLabel) nameLabel.setText("Material Name/Comment:") nameLabel.setAlignment(qt.Qt.AlignVCenter) nameHBoxLayout.addWidget(qt.HorizontalSpacer(nameHBox)) self.__nameLine = qt.QLineEdit(nameHBox) self.__nameLine.editingFinished[()].connect(self.__nameLineSlot) nameHBoxLayout.addWidget(self.__nameLine) self.__nameLine.setReadOnly(False) longtext="En un lugar de La Mancha, de cuyo nombre no quiero acordarme ..." self.__nameLine.setFixedWidth(self.__nameLine.fontMetrics().width(longtext)) layout.addWidget(nameHBox) self.__numberSpin.valueChanged[int].connect(self.__numberSpinChanged) self.__table.cellChanged[int,int].connect(self.__tableSlot) self.__table.cellEntered[int,int].connect(self.__tableSlot2) def buildToolMode(self, comments="True",height=3): layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) self.__comments = comments grid = qt.QWidget(self) gridLayout = qt.QGridLayout(grid) gridLayout.setContentsMargins(11, 11, 11, 11) gridLayout.setSpacing(4) numberLabel = qt.QLabel(grid) numberLabel.setText("Number of Compounds:") numberLabel.setAlignment(qt.Qt.AlignVCenter) self.__numberSpin = qt.QSpinBox(grid) self.__numberSpin.setMinimum(1) self.__numberSpin.setMaximum(30) self.__numberSpin.setValue(1) tableContainer = qt.QWidget(self) tableContainerLayout = qt.QVBoxLayout(tableContainer) tableContainerLayout.setContentsMargins(0, 0, 0, 0) tableContainerLayout.setSpacing(0) self.__tableContainer = tableContainer self.__table = qt.QTableWidget(tableContainer) self.__table.setRowCount(1) self.__table.setColumnCount(2) tableContainerLayout.addWidget(self.__table) self.__table.setMinimumHeight((height)*self.__table.horizontalHeader().sizeHint().height()) self.__table.setMaximumHeight((height)*self.__table.horizontalHeader().sizeHint().height()) self.__table.setMinimumWidth(1*self.__table.sizeHint().width()) self.__table.setMaximumWidth(1*self.__table.sizeHint().width()) labels = ["Material", "Mass Fraction"] for i in range(len(labels)): item = self.__table.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(labels[i],qt.QTableWidgetItem.Type) self.__table.setHorizontalHeaderItem(i,item) self.__table.setSelectionMode(qt.QTableWidget.NoSelection) densityLabel = qt.QLabel(grid) densityLabel.setText("Density (g/cm3):") densityLabel.setAlignment(qt.Qt.AlignVCenter) self.__densityLine = qt.QLineEdit(grid) self.__densityLine.setText("1.0") validator = qt.QDoubleValidator(self.__densityLine) self.__densityLine.setValidator(validator) self.__densityLine.setReadOnly(False) thicknessLabel = qt.QLabel(grid) thicknessLabel.setText("Thickness (cm):") thicknessLabel.setAlignment(qt.Qt.AlignVCenter) self.__thicknessLine = qt.QLineEdit(grid) self.__thicknessLine.setText("0.1") validator = qt.QDoubleValidator(self.__thicknessLine) self.__thicknessLine.setValidator(validator) self.__thicknessLine.setReadOnly(False) self.__transmissionButton = qt.QPushButton(grid) self.__transmissionButton.setText('Material Transmission') self.__massAttButton = qt.QPushButton(grid) self.__massAttButton.setText('Mass Att. Coefficients') self.__transmissionButton.setAutoDefault(False) self.__massAttButton.setAutoDefault(False) nameHBox = qt.QWidget(grid) nameHBoxLayout = qt.QHBoxLayout(nameHBox) nameHBoxLayout.setContentsMargins(0, 0, 0, 0) nameHBoxLayout.setSpacing(0) nameLabel = qt.QLabel(nameHBox) nameLabel.setText("Name:") nameLabel.setAlignment(qt.Qt.AlignVCenter) self.__nameLine = qt.QLineEdit(nameHBox) self.__nameLine.setReadOnly(False) if self.__toolMode: toolTip = "Type your material name and press the ENTER key.\n" toolTip += "Fitting materials cannot be defined or redefined here.\n" toolTip += "Use the material editor of the advanced fit for it.\n" self.__nameLine.setToolTip(toolTip) nameHBoxLayout.addWidget(nameLabel) nameHBoxLayout.addWidget(self.__nameLine) gridLayout.addWidget(nameHBox, 0, 0, 1, 2) gridLayout.addWidget(numberLabel, 1, 0) gridLayout.addWidget(self.__numberSpin, 1, 1) gridLayout.addWidget(self.__tableContainer, 2, 0, 1, 2) gridLayout.addWidget(densityLabel, 3, 0) gridLayout.addWidget(self.__densityLine, 3, 1) gridLayout.addWidget(thicknessLabel, 4, 0) gridLayout.addWidget(self.__thicknessLine, 4, 1) gridLayout.addWidget(self.__transmissionButton, 5, 0) gridLayout.addWidget(self.__massAttButton, 5, 1) layout.addWidget(grid) layout.addWidget(qt.VerticalSpacer(self)) #build all the connections self.__nameLine.editingFinished[()].connect(self.__nameLineSlot) self.__numberSpin.valueChanged[int].connect(self.__numberSpinChanged) self.__table.cellChanged[int,int].connect(self.__tableSlot) self.__table.cellEntered[int,int].connect(self.__tableSlot2) self.__densityLine.editingFinished[()].connect( self.__densitySlot) self.__thicknessLine.editingFinished[()].connect(self.__thicknessSlot) self.__transmissionButton.clicked.connect(self.__transmissionSlot) self.__massAttButton.clicked.connect(self.__massAttSlot) def setCurrent(self, matkey0): if DEBUG:"setCurrent(self, matkey0) ", matkey0 matkey = Elements.getMaterialKey(matkey0) if matkey is not None: if self.__toolMode: #make sure the material CANNOT be modified self._current = copy.deepcopy(Elements.Material[matkey]) if self.__table.isEnabled(): self.__disableInput() else: self._current = Elements.Material[matkey] else: self._setCurrentDefault() if not self.__toolMode: Elements.Material[matkey0] = self._current self.__numberSpin.setFocus() try: self._fillValues() self._updateCurrent() finally: if self.__toolMode: self.__nameLine.setText("%s" % matkey) self.__fillingValues = False def _fillValues(self): if DEBUG: print("fillValues(self)") self.__fillingValues = True if self.__comments: self.__nameLine.setText("%s" % self._current['Comment']) try: self.__densityLine.setText("%.5g" % self._current['Density']) except: self.__densityLine.setText("") if 'Thickness' in self._current.keys(): try: self.__thicknessLine.setText("%.5g" % self._current['Thickness']) except: self.__thicknessLine.setText("") if type(self._current['CompoundList']) != type([]): self._current['CompoundList'] = [self._current['CompoundList']] if type(self._current['CompoundFraction']) != type([]): self._current['CompoundFraction'] = [self._current['CompoundFraction']] self.__numberSpin.setValue(max(len(self._current['CompoundList']),1)) row = 0 for compound in self._current['CompoundList']: item = self.__table.item(row,0) if item is None: item = qt.QTableWidgetItem(compound,qt.QTableWidgetItem.Type) self.__table.setItem(row,0,item) else: item.setText(compound) item = self.__table.item(row,1) if item is None: item = qt.QTableWidgetItem("%.5g" % self._current['CompoundFraction'][row], qt.QTableWidgetItem.Type) self.__table.setItem(row,1,item) else: item.setText("%.5g" % self._current['CompoundFraction'][row]) row += 1 self.__fillingValues = False # http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=666503 def _updateCurrent(self): if DEBUG: print("updateCurrent(self)") print("self._current before = ", self._current) self._current['CompoundList'] = [] self._current['CompoundFraction'] = [] for i in range(self.__table.rowCount()): item = self.__table.item(i, 0) if item is None: item = qt.QTableWidgetItem("", qt.QTableWidgetItem.Type) txt0 = str(item.text()) item = self.__table.item(i, 1) if item is None: item = qt.QTableWidgetItem("", qt.QTableWidgetItem.Type) txt1 = str(item.text()) if (len(txt0) > 0) and (len(txt1) > 0): self._current['CompoundList'].append(txt0) self._current['CompoundFraction'].append(float(txt1)) self.__densitySlot(silent=True) self.__thicknessSlot(silent=True) if DEBUG: print("self._current after = ", self._current) def __densitySlot(self, silent=False): try: qstring = self.__densityLine.text() text = str(qstring) if len(text): value = float(str(qstring)) self._current['Density'] = value except: if silent: return msg=qt.QMessageBox(self.__densityLine) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") msg.exec_() self.__densityLine.setFocus() def __thicknessSlot(self, silent=False): try: qstring = self.__thicknessLine.text() text = str(qstring) if len(text): value = float(text) self._current['Thickness'] = value except: if silent: return msg=qt.QMessageBox(self.__thicknessLine) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") msg.exec_() self.__thicknessLine.setFocus() def __transmissionSlot(self): ddict = {} ddict.update(self._current) ddict['event'] = 'MaterialTransmission' self.sigMaterialTransmissionSignal.emit(ddict) def __massAttSlot(self): ddict = {} ddict.update(self._current) ddict['event'] = 'MaterialMassAttenuation' self.sigMaterialMassAttenuationSignal.emit(ddict) def __nameLineSlot(self): if DEBUG: print("__nameLineSlot(self)") qstring = self.__nameLine.text() text = str(qstring) if self.__toolMode: if len(text): matkey = Elements.getMaterialKey(text) if matkey is not None: self.setCurrent(matkey) #Disable everything self.__disableInput() elif text in Elements.ElementList: self.__disableInput() name = Elements.Element[text]['name'] self._current['Comment'] = name[0].upper() + name[1:] self._current['CompoundList'] = [text+"1"] self._current['CompoundFraction'] = [1.0] self._current['Density'] = Elements.Element[text]['density'] self._fillValues() self._updateCurrent() self.__nameLine.setText("%s" % text) else: self._current['Comment'] = text self.__numberSpin.setEnabled(True) self.__table.setEnabled(True) self.__densityLine.setEnabled(True) self.__thicknessLine.setEnabled(True) else: self._current['Comment'] = text def __disableInput(self): self.__numberSpin.setEnabled(False) self.__table.setEnabled(False) self.__densityLine.setEnabled(False) self.__thicknessLine.setEnabled(True) def __numberSpinChanged(self,value): #size = self.__table.size() self.__table.setRowCount(value) rheight = self.__table.horizontalHeader().sizeHint().height() nrows = self.__table.rowCount() for idx in range(nrows): self.__table.setRowHeight(idx, rheight) if len(self._current['CompoundList']) > value: self._current['CompoundList'] = self._current['CompoundList'][0:value] if len(self._current['CompoundFraction']) > value: self._current['CompoundFraction'] = self._current['CompoundFraction'][0:value] def __tableSlot(self,row, col): if self.__fillingValues: return item = self.__table.item(row, col) if item is not None: if DEBUG: print("table item is None") qstring = item.text() else: qstring = "" if col == 0: compound = str(qstring) if Elements.isValidFormula(compound): pass else: matkey = Elements.getMaterialKey(compound) if matkey is not None: item.setText(matkey) else: msg=qt.QMessageBox(self.__table) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Formula %s" % compound) msg.exec_() self.__table.setCurrentCell(row, col) return else: try: float(str(qstring)) except: msg=qt.QMessageBox(self.__table) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") msg.exec_() self.__table.setCurrentCell(row, col) return self._updateCurrent() def __tableSlot2(self,row, col): if self.__fillingValues:return if self.__lastRow is None: self.__lastRow = row if self.__lastColumn is None: self.__lastColumn = col item = self.__table.item(self.__lastRow, self.__lastColumn) if item is None: item = qt.QTableWidgetItem("",qt.QTableWidgetItem.Type) self.__table.setItem(self.__lastRow, self.__lastColumn, item) qstring = item.text() if self.__lastColumn == 0: compound = str(qstring) if Elements.isValidFormula(compound): pass else: matkey = Elements.getMaterialKey(compound) if matkey is not None: item = self.__table.item(self.__lastRow, self.__lastColumn) if item is None: item = qt.QTableWidgetItem(matkey, qt.QTableWidgetItem.Type) self.__table.setItem(self.__lastRow, self.__lastColumn, item) else: item.setText(matkey) else: msg=qt.QMessageBox(self.__table) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Formula %s" % compound) msg.exec_() self.__table.setCurrentCell(self.__lastRow, self.__lastColumn) return else: try: float(str(qstring)) except: msg=qt.QMessageBox(self.__table) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") msg.exec_() self.__table.setCurrentCell(self.__lastRow, self.__lastColumn) return self._updateCurrent() if __name__ == "__main__": app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) if len(sys.argv) > 1: demo = MaterialEditor(toolmode=True) else: demo = MaterialEditor(toolmode=False) demo.show() app.exec_() ������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/MatrixEditor.py��������������������������������������������0000644�0002763�0000175�00000033011�13136054446�022751� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import copy from PyMca5.PyMcaGui import PyMcaQt as qt from . import MaterialEditor from . import MatrixImage QTVERSION = qt.qVersion() class MatrixEditor(qt.QWidget): def __init__(self, parent=None, name="Matrix Editor",current=None, table=True,orientation="vertical",thickness=True, density=True, size=None): qt.QWidget.__init__(self, parent) self.setWindowTitle(name) self._current={'Density': 1.0, 'Thickness': 1.0, 'AlphaIn': 45.0, 'AlphaOut': 45.0, 'AlphaScatteringFlag':False, 'AlphaScattering': 90, 'Material': "Water"} if current is not None: self._current.update(current) self.build(table,orientation, thickness, density, size) self._update() def build(self, table,orientation, thickness, density, size=None): if size is None: size="medium" layout = qt.QHBoxLayout(self) if table: #the material definition matBox = qt.QWidget(self) layout.addWidget(matBox) matBoxLayout = qt.QVBoxLayout(matBox) self.materialEditor = MaterialEditor.MaterialEditor(matBox, comments=False, height=7) matBoxLayout.addWidget(self.materialEditor) matBoxLayout.addWidget(qt.VerticalSpacer(matBox)) else: self.materialEditor = None #the matrix definition sampleBox = qt.QWidget(self) layout.addWidget(sampleBox) if orientation == "vertical": sampleBoxLayout = qt.QVBoxLayout(sampleBox) else: sampleBoxLayout = qt.QHBoxLayout(sampleBox) #the image if orientation == "vertical": labelHBox = qt.QWidget(sampleBox) sampleBoxLayout.addWidget(labelHBox) labelHBoxLayout = qt.QHBoxLayout(labelHBox) labelHBoxLayout.addWidget(qt.HorizontalSpacer(labelHBox)) label = MatrixImage.MatrixImage(labelHBox,size=size) labelHBoxLayout.addWidget(label) labelHBoxLayout.addWidget(qt.HorizontalSpacer(labelHBox)) else: labelHBox = qt.QWidget(sampleBox) sampleBoxLayout.addWidget(labelHBox) labelHBoxLayout = qt.QVBoxLayout(labelHBox) labelHBoxLayout.setContentsMargins(0, 0, 0, 0) labelHBoxLayout.setSpacing(4) label = MatrixImage.MatrixImage(labelHBox,size=size) labelHBoxLayout.addWidget(label) if orientation != "vertical": labelHBoxLayout.addWidget(qt.VerticalSpacer(labelHBox)) self.imageLabel = label #the input fields container self.__gridSampleBox = qt.QWidget(sampleBox) grid = self.__gridSampleBox sampleBoxLayout.addWidget(grid) if QTVERSION < '4.0.0': gridLayout=qt.QGridLayout(grid,6,2,11,4) else: gridLayout = qt.QGridLayout(grid) gridLayout.setContentsMargins(11, 11, 11, 11) gridLayout.setSpacing(4) #the angles angle1Label = qt.QLabel(grid) angle1Label.setText("Incoming Angle (deg.):") self.__angle1Line = MyQLineEdit(grid) self.__angle1Line.setReadOnly(False) angle2Label = qt.QLabel(grid) angle2Label.setText("Outgoing Angle (deg.):") self.__angle2Line = MyQLineEdit(grid) self.__angle2Line.setReadOnly(False) self.__angle3Label = qt.QCheckBox(grid) self.__angle3Label.setText("Scattering Angle (deg.):") self.__angle3Line = MyQLineEdit(grid) self.__angle3Line.setReadOnly(False) self.__angle3Line.setDisabled(True) if QTVERSION < '4.0.0': angle1Label.setAlignment(qt.QLabel.WordBreak | \ qt.QLabel.AlignVCenter) angle2Label.setAlignment(qt.QLabel.WordBreak | \ qt.QLabel.AlignVCenter) else: angle1Label.setAlignment(qt.Qt.AlignVCenter) angle2Label.setAlignment(qt.Qt.AlignVCenter) self.__angle3Label.setChecked(0) gridLayout.addWidget(angle1Label, 0, 0) gridLayout.addWidget(self.__angle1Line, 0, 1) gridLayout.addWidget(angle2Label, 1, 0) gridLayout.addWidget(self.__angle2Line, 1, 1) gridLayout.addWidget(self.__angle3Label, 2, 0) gridLayout.addWidget(self.__angle3Line, 2, 1) rowoffset = 3 #thickness and density if density: densityLabel = qt.QLabel(grid) densityLabel.setText("Sample Density (g/cm3):") if QTVERSION < '4.0.0': densityLabel.setAlignment(qt.QLabel.WordBreak | \ qt.QLabel.AlignVCenter) else: densityLabel.setAlignment(qt.Qt.AlignVCenter) self.__densityLine = MyQLineEdit(grid) self.__densityLine.setReadOnly(False) gridLayout.addWidget(densityLabel, rowoffset, 0) gridLayout.addWidget(self.__densityLine, rowoffset, 1) rowoffset = rowoffset + 1 else: self.__densityLine = None if thickness: thicknessLabel = qt.QLabel(grid) thicknessLabel.setText("Sample Thickness (cm):") if QTVERSION < '4.0.0': thicknessLabel.setAlignment(qt.QLabel.WordBreak | \ qt.QLabel.AlignVCenter) else: thicknessLabel.setAlignment(qt.Qt.AlignVCenter) self.__thicknessLine = MyQLineEdit(grid) self.__thicknessLine.setReadOnly(False) gridLayout.addWidget(thicknessLabel, rowoffset, 0) gridLayout.addWidget(self.__thicknessLine, rowoffset, 1) rowoffset = rowoffset + 1 else: self.__thicknessLine = None gridLayout.addWidget(qt.VerticalSpacer(grid), rowoffset, 0) gridLayout.addWidget(qt.VerticalSpacer(grid), rowoffset, 1) self.__angle1Line.sigMyQLineEditSignal.connect(self.__angle1Slot) self.__angle2Line.sigMyQLineEditSignal.connect(self.__angle2Slot) self.__angle3Line.sigMyQLineEditSignal.connect(self.__angle3Slot) if self.__densityLine is not None: self.__densityLine.sigMyQLineEditSignal.connect(self.__densitySlot) if self.__thicknessLine is not None: self.__thicknessLine.sigMyQLineEditSignal.connect(self.__thicknessSlot) self.__angle3Label.clicked.connect(self.__angle3LabelSlot) if orientation == "vertical": sampleBoxLayout.addWidget(qt.VerticalSpacer(sampleBox)) def setParameters(self, param): for key in param.keys(): self._current[key] = param[key] self._update() def getParameters(self, param = None): if param is None: return copy.deepcopy(self._current) elif param in self._current.keys(): return self._current[param] else: raise KeyError("%s" % param) return def _update(self): if self.materialEditor is not None: self.materialEditor.materialGUI.setCurrent(self._current['Material']) self.__angle1Line.setText("%.5g" % self._current['AlphaIn']) self.__updateImage() self.__angle2Line.setText("%.5g" % self._current['AlphaOut']) if self._current['AlphaScatteringFlag']: self.__angle3Label.setChecked(1) self.__angle3Line.setEnabled(True) self.__angle3Line.setText("%.5g" % self._current['AlphaScattering']) else: self.__angle3Label.setChecked(False) self.__angle3LabelSlot() if self.__densityLine is not None: self.__densityLine.setText("%.5g" % self._current['Density']) if self.__thicknessLine is not None: self.__thicknessLine.setText("%.5g" % self._current['Thickness']) def __angle1Slot(self, ddict): if (ddict['value'] < -90.) or (ddict['value'] > 90.): msg=qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Incident beam angle has to be in the range [-90, 90]") if QTVERSION < '4.0.0': msg.exec_loop() else: msg.setWindowTitle("Angle Error") msg.exec_() self.__angle1Line.setFocus() return doit = False if self._current['AlphaIn'] > 0: if ddict['value'] < 0: doit = True elif self._current['AlphaIn'] < 0: if ddict['value'] > 0: doit = True self._current['AlphaIn'] = ddict['value'] if doit: self.__updateImage() self.__updateScattering() def __updateImage(self): if self._current['AlphaIn'] < 0: self.imageLabel.setPixmap("image2trans") else: self.imageLabel.setPixmap("image2") def __angle2Slot(self, ddict): if (ddict['value'] <= 0.0) or (ddict['value'] > 180.): msg=qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Fluorescent beam angle has to be in the range ]0, 180[") if QTVERSION < '4.0.0': msg.exec_loop() else: msg.setWindowTitle("Angle Error") msg.exec_() self.__angle2Line.setFocus() return self._current['AlphaOut'] = ddict['value'] self.__updateScattering() def __angle3Slot(self, ddict): self._current['AlphaScattering'] = ddict['value'] def __angle3LabelSlot(self): if self.__angle3Label.isChecked(): self._current['AlphaScatteringFlag'] = 1 self.__angle3Line.setEnabled(True) else: self._current['AlphaScatteringFlag'] = 0 self.__angle3Line.setEnabled(False) self.__updateScattering() def __updateScattering(self): if not self.__angle3Label.isChecked(): self._current['AlphaScattering'] = self._current['AlphaIn'] +\ self._current['AlphaOut'] self.__angle3Line.setText("%.5g" % self._current['AlphaScattering']) def __thicknessSlot(self, ddict): self._current['Thickness'] = ddict['value'] def __densitySlot(self, ddict): self._current['Density'] = ddict['value'] class MyQLineEdit(qt.QLineEdit): sigMyQLineEditSignal = qt.pyqtSignal(object) def __init__(self,parent=None,name=None): qt.QLineEdit.__init__(self,parent) self.editingFinished.connect(self.__mySlot) if QTVERSION < '4.0.0': def focusInEvent(self,event): self.backgroundcolor = self.paletteBackgroundColor() self.setPaletteBackgroundColor(qt.QColor('yellow')) def focusOutEvent(self,event): self.setPaletteBackgroundColor(qt.QColor('white')) self.__mySlot() def setPaletteBackgroundColor(self, color): qt.QLineEdit.setPaletteBackgroundColor(self, color) def __mySlot(self): qstring = self.text() text = str(qstring) try: if len(text): value = float(str(qstring)) ddict={} ddict['event'] = 'returnPressed' ddict['value'] = value ddict['text'] = text ddict['qstring'] = qstring self.sigMyQLineEditSignal.emit(ddict) except: msg=qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") msg.exec_() self.setFocus() if __name__ == "__main__": app = qt.QApplication([]) app.lastWindowClosed[()].connect(app.quit) #demo = MatrixEditor(table=False, orientation="horizontal") demo = MatrixEditor(table=True, orientation="vertical") demo.show() app.exec_() �����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/__init__.py������������������������������������������������0000644�0002763�0000175�00000000000�13136054446�022065� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/StrategyHandler.py�����������������������������������������0000644�0002763�0000175�00000066060�13136054446�023450� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import copy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMcaFileDialogs from PyMca5.PyMcaPhysics import Elements from PyMca5.PyMcaGui import PyMca_Icons from PyMca5.PyMcaIO import ConfigDict from .MaterialEditor import MaterialComboBox IconDict = PyMca_Icons.IconDict QTVERSION = qt.qVersion() DEBUG = 0 def _getPeakList(fitConfiguration): elementsList = [] for element in fitConfiguration['peaks']: if len(element) > 1: ele = element[0:1].upper() + element[1:2].lower() else: ele = element.upper() if type(fitConfiguration['peaks'][element]) == type([]): for peak in fitConfiguration['peaks'][element]: elementsList.append(ele + " " + peak) else: for peak in [fitConfiguration['peaks'][element]]: elementsList.append(ele + " " + peak) elementsList.sort() return elementsList def _getMatrixDescription(fitConfiguration): useMatrix = False detector = None for attenuator in list(fitConfiguration['attenuators'].keys()): if not fitConfiguration['attenuators'][attenuator][0]: # set to be ignored continue if attenuator.upper() == "MATRIX": if fitConfiguration['attenuators'][attenuator][0]: useMatrix = True matrix = fitConfiguration['attenuators'][attenuator][1:4] alphaIn= fitConfiguration['attenuators'][attenuator][4] alphaOut= fitConfiguration['attenuators'][attenuator][5] else: useMatrix = False break if not useMatrix: raise ValueError("Sample matrix has to be specified!") if matrix[0].upper() == "MULTILAYER": multilayerSample = {} layerKeys = list(fitConfiguration['multilayer'].keys()) if len(layerKeys): layerKeys.sort() for layer in layerKeys: if fitConfiguration['multilayer'][layer][0]: multilayerSample[layer] = \ fitConfiguration['multilayer'][layer][1:] else: multilayerSample = {"Auto":matrix} return multilayerSample class StrategyHandlerWidget(qt.QWidget): sigStrategyHandlerSignal = qt.pyqtSignal(object) def __init__(self, parent=None, name="Single Layer Matrix Iteration Strategy"): qt.QWidget.__init__(self, parent) self._fitConfiguration = None self.setWindowTitle(name) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self._descriptionButton = qt.QPushButton(self) self._descriptionButton.setText("Hide algorithm description") self._descriptionButton.setAutoDefault(False) self._descriptionButton.clicked.connect(self.toggleDescription) self._descriptionWidget = qt.QTextEdit(self) self._description = qt.QTextDocument() self.mainLayout.addWidget(self._descriptionButton) self.mainLayout.addWidget(self._descriptionWidget) self.build() def toggleDescription(self): if self._descriptionButton.text().startswith("Hide"): self._descriptionWidget.hide() self._descriptionButton.setText("Show algorithm description") else: self._descriptionWidget.show() self._descriptionButton.setText("Hide algorithm description") def setDescription(self, txt): self._description.setPlainText(txt) self._descriptionWidget.setDocument(self._description) def build(self): self.strategy = {} self.strategy["SingleLayerStrategy"] = SingleLayerStrategyWidget(self) currentStrategy = self.strategy["SingleLayerStrategy"] self.setDescription(currentStrategy.getDescription()) self.mainLayout.addWidget(currentStrategy) def setFitConfiguration(self, fitConfiguration): self._fitConfiguration = copy.deepcopy(fitConfiguration) strategy = self._fitConfiguration["fit"].get("strategy", "SingleLayerStrategy") self.strategy[strategy].setFitConfiguration(self._fitConfiguration) def getParameters(self): if self._fitConfiguration is None: return {} strategy = self._fitConfiguration["fit"].get("strategy", "SingleLayerStrategy") return {strategy:self.strategy[strategy].getParameters()} def setParameters(self, ddict): # this is used to use the current fit configuration but with other strategy configuration # from other file if self._fitConfiguration is None: return strategy = self._fitConfiguration["fit"].get("strategy", "SingleLayerStrategy") if strategy in ddict: return self.strategy[strategy].setParameters(ddict[strategy]) class SingleLayerStrategyWidget(qt.QWidget): def __init__(self, parent=None, name="Single Layer Matrix Iteration Strategy"): qt.QWidget.__init__(self, parent) self.setWindowTitle(name) self.build() def getDescription(self): txt = "WARNING: Not recommended for use with internal standard if the " txt += "internal standard is present in the refining layer. You will " txt += "get better results working in fundamental parameters mode.\n" txt += "This matrix iteration procedure is implemented as follows:\n" txt += "The concentration of the elements selected to be updated, will " txt += "be incorporated in the matrix in the specified form.\n" txt += "If the sum of the mass fractions of those elements is above 1 " txt += "the program will normalize as usual.\n" txt += "If the sum of the mass fractions is below 1, the same procedure " txt += "will be applied unless the user has chosen a completing material.\n" txt += "Limitations of the algorithm:\n" txt += "- The incorporated elements cannot be on different layers.\n" txt += "- One element cannot be selected more than once.\n" txt += "Recommendations:\n" txt += "- In order to avoid unnecessarily slow setups, " txt += "activate this option and any secondary or tertiary excitation " txt += "calculation once you are ready for quantification." return txt def build(self): self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) label = qt.QLabel("Number of matrix iterations to perfom:") self._nIterations = qt.QSpinBox(self) self._nIterations.setMinimum(1) self._nIterations.setMaximum(5) self._nIterations.setValue(3) self.mainLayout.addWidget(label, 0, 0) self.mainLayout.addWidget(qt.HorizontalSpacer(self), 1, 0) self.mainLayout.addWidget(self._nIterations, 0, 2) label = qt.QLabel("Layer in wich the algorithm is to be applied:") self._layerOptions = qt.QComboBox(self) self._layerOptions.addItem("Auto") self.mainLayout.addWidget(label, 1, 0) #self.mainLayout.addWidget(qt.HorizontalSpacer(self), 1, 0) self.mainLayout.addWidget(self._layerOptions, 1, 2) label = qt.QLabel("Completing material to be used:") materialList = list(Elements.Material.keys()) materialList.sort() a = ["-"] for key in materialList: a.append(key) self._materialOptions = MyQComboBox(self, options=a) self._materialOptions.addItem("-") self.mainLayout.addWidget(label, 2, 0) self.mainLayout.addWidget(self._materialOptions, 2, 2) self._table = IterationTable(self) self.mainLayout.addWidget(self._table, 3, 0, 5, 5) self.mainLayout.addWidget(qt.VerticalSpacer(self), 10, 0) def setFitConfiguration(self, fitConfiguration): # obtain the peak families fitted _peakList = _getPeakList(fitConfiguration) if not len(_peakList): raise ValueError("No peaks to fit!!!!") matrixDescription = _getMatrixDescription(fitConfiguration) layerList = list(matrixDescription.keys()) layerList.sort() materialList = list(Elements.Material.keys()) materialList.sort() a = ["-"] for key in materialList: a.append(key) # Material options self._materialOptions.setOptions(a) self._table.setMaterialOptions(a) # If only one layer, all the elements are selectable layerPeaks = {} if len(layerList) == 1: layerPeaks[layerList[0]] = _peakList else: inAllLayers = [] toDeleteFromAllLayers = [] toForgetAbout = [] for layer in layerList: layerPeaks[layer] = [] for peak in _peakList: element = peak.split()[0] layersPresent = [] for layer in layerList: material = matrixDescription[layer][0] if element in Elements.getMaterialMassFractions(\ [material], [1.0]).keys(): layersPresent.append(layer) if len(layersPresent) == 1: layerPeaks[layersPresent[0]].append(peak) oldOption = qt.safe_str(self._layerOptions.currentText()) self._layerOptions.clear() for item in layerList: self._layerOptions.addItem(item) self._layerList = layerList if oldOption not in layerList: oldOption = layerList[0] self._layerOptions.setCurrentIndex(layerList.index(oldOption)) self._layerList = layerList self._layerPeaks = layerPeaks self._table.setLayerPeakFamilies(layerPeaks[oldOption]) strategy = fitConfiguration["fit"].get("strategy", "SingleLayerStrategy") if strategy in fitConfiguration: self.setParameters(fitConfiguration["SingleLayerStrategy"]) def getParameters(self): ddict = self._table.getParameters() ddict["layer"] = str(self._layerOptions.currentText()) ddict["iterations"] = self._nIterations.value() ddict["completer"] = str(self._materialOptions.currentText()) return ddict def setParameters(self, ddict): layer = ddict.get("layer", "Auto") if layer not in self._layerList: if layer.upper() != "AUTO": raise ValueError("Layer %s not among fitted layers" % layer) else: layerList = self._layerList + ["Auto"] self._layerOptions.clear() for item in layerList: self._layerOptions.addItem(item) self._layerList = layerList nIterations = ddict.get("iterations", 3) self._nIterations.setValue(nIterations) layerList = self._layerList layerPeaks = self._layerPeaks self._layerOptions.setCurrentIndex(layerList.index(layer)) if layer in layerPeaks: self._table.setLayerPeakFamilies(layerPeaks[layer]) completer = ddict.get("completer", "-") self._materialOptions.setCurrentText(completer) flags = ddict["flags"] families = ddict["peaks"] materials = ddict["materials"] nItem = 0 for i in range(len(flags)): doIt = 0 if (flags[i] in [1, True, "1", "True"]) and (layer in layerPeaks): flag = 1 if families[i] in layerPeaks[layer]: if materials[i] in ["-"]: doIt = 1 else: element = families[i].split()[0] if element in Elements.getMaterialMassFractions( \ [materials[i]], [1.0]): doIt = 1 if doIt: self._table.setData(nItem, flag, families[i], materials[i]) else: self._table.setData(nItem, flag, families[i], element) else: self._table.setData(nItem, 0, "-", "-") nItem += 1 class IterationTable(qt.QTableWidget): sigValueChanged = qt.pyqtSignal(int, int) def __init__(self, parent=None): qt.QTableWidget.__init__(self, parent) self.verticalHeader().hide() self.setRowCount(5) self.setColumnCount(6) labels = ["Use", "Peak Family", "Material Form"] * 2 for i in range(len(labels)): item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(labels[i], qt.QTableWidgetItem.Type) self.setHorizontalHeaderItem(i,item) self.build() self.resizeColumnToContents(0) self.resizeColumnToContents(3) self.cellChanged[int, int].connect(self.mySlot) def setData(self, idx, use, peak, material="-"): row = idx % 5 c = 3 * (idx // self.rowCount()) item = self.cellWidget(row, 0 + c) if use: item.setChecked(True) else: item.setChecked(False) item = self.cellWidget(row, 1 + c) n = item.findText(peak) item.setCurrentIndex(n) ddict = {} ddict['row'] = row ddict['col'] = 1 + c ddict['text'] = peak self.__updateMaterialOptions(ddict) item = self.cellWidget(row, 2 + c) item.setEditText(material) def mySlot(self,row,col): if DEBUG: print("Value changed row = %d col = %d" % (row, col)) if col != 0: print("Text = %s" % self.cellWidget(row, col).currentText()) def _checkBoxSlot(self, ddict): # check we do not have duplicates row = ddict['row'] col = ddict['col'] target = str(self.cellWidget(row, 1 + col).currentText()).split()[0] for idx in range(10): r = idx % 5 c = 3 * (idx // self.rowCount()) if r == row: if c == col: continue item = self.cellWidget(r, 0 + c) if item.isChecked(): element = str(self.cellWidget(r, 1 + c).currentText()).split()[0] if target == element: # reset the just changed one self.cellWidget(row, col).setChecked(False) self.cellWidget(row, col + 1).setCurrentIndex(0) self.cellWidget(row, col + 2).setCurrentText("-") return self.setCurrentCell(row, col) self.sigValueChanged.emit(row, col) def build(self): materialList = list(Elements.Material.keys()) materialList.sort() a = ["-"] for key in materialList: a.append(key) for idx in range(10): row = idx % 5 c = 3 * (idx // self.rowCount()) item = self.cellWidget(row, 0 + c) if item is None: item = MyCheckBox(self, row, 0 + c) self.setCellWidget(row, 0 + c, item) item.sigMyCheckBoxSignal.connect(self._checkBoxSlot) item = self.cellWidget(row, 1 + c) if item is None: item = SimpleComboBox(self, row=row, col=1 + c) self.setCellWidget(row, 1 + c, item) item.sigSimpleComboBoxSignal.connect(self._peakFamilySlot) item = self.cellWidget(row, 2 + c) if item is None: item = MyQComboBox(self, options=a, row=row, col=2 + c) item.setEditable(True) self.setCellWidget(row, 2 + c, item) item.sigMaterialComboBoxSignal.connect(self._comboSlot) def setMaterialOptions(self, options): for idx in range(10): row = idx % 5 c = 3 * (idx // self.rowCount()) item = self.cellWidget(row, 2 + c) item.setOptions(options) def setLayerPeakFamilies(self, layerPeaks): for idx in range(10): row = idx % 5 c = 3 * (idx // self.rowCount()) item = self.cellWidget(row, 1 + c) item.setOptions(["-"] + layerPeaks) # reset material form item = self.cellWidget(row, 2 + c) item.setCurrentIndex(0) def __updateMaterialOptions(self, ddict): row = ddict['row'] col = ddict['col'] text = ddict['text'] element = text.split()[0] materialItem = self.cellWidget(row, col + 1) associatedMaterial = str(materialItem.currentText()) goodCandidates = [element] for i in range(materialItem.count()): material = str(materialItem.itemText(i)) if material not in ["-", element]: if element in Elements.getMaterialMassFractions([material], [1.0]): goodCandidates.append(material) materialItem.clear() materialItem.setOptions(goodCandidates) if associatedMaterial in goodCandidates: materialItem.setCurrentIndex(goodCandidates.index(associatedMaterial)) else: materialItem.setCurrentIndex(0) def _peakFamilySlot(self, ddict): if DEBUG: print("_peakFamilySlot", ddict) # check we do not have duplicates target = ddict["text"].split()[0] row = ddict['row'] col = ddict['col'] for idx in range(10): r = idx % 5 c = 3 * (idx // self.rowCount()) if r == row: if (c + 1) == col: continue item = self.cellWidget(r, 0 + c) if item.isChecked(): element = str(self.cellWidget(r, 1 + c).currentText()).split()[0] if target == element: # reset the just changed one self.cellWidget(row, col - 1).setChecked(False) return self.__updateMaterialOptions(ddict) self.setCurrentCell(row, col) self.sigValueChanged.emit(row, col) def _comboSlot(self, ddict): if DEBUG: print("_comboSlot", ddict) row = ddict['row'] col = ddict['col'] text = ddict['text'] self.setCurrentCell(row, col) self.sigValueChanged.emit(row, col) def getParameters(self): ddict = {} ddict["flags"] = [] ddict["peaks"] = [] ddict["materials"] = [] for idx in range(10): row = idx % 5 c = 3 * (idx // self.rowCount()) item = self.cellWidget(row, 0 + c) if item.isChecked(): peak = str(self.cellWidget(row, 1 + c).currentText()) if peak in ["-"]: continue #raise ValueError("Invalid peak family in row %d" % row) ddict["flags"].append(1) ddict["peaks"].append(peak) ddict["materials"].append(self.cellWidget(row, 2 + c).currentText()) else: ddict["flags"].append(0) ddict["peaks"].append(self.cellWidget(row, 1 + c).currentText()) ddict["materials"].append(self.cellWidget(row, 2 + c).currentText()) return ddict class SimpleComboBox(qt.QComboBox): sigSimpleComboBoxSignal = qt.pyqtSignal(object) def __init__(self, parent=None,row=None, col=None): if row is None: row = 0 if col is None: col = 0 self.row = row self.col = col qt.QComboBox.__init__(self,parent) self.setEditable(False) self.setDuplicatesEnabled(False) self.activated[str].connect(self._mySignal) def setOptions(self, options): self.clear() for item in options: self.addItem(item) def _mySignal(self, txt): ddict = {} ddict["event"] = "activated" ddict["row"] = self.row ddict["col"] = self.col ddict["text"] = self.currentText() self.sigSimpleComboBoxSignal.emit(ddict) class MyQComboBox(MaterialComboBox): def _mySignal(self, qstring0): qstring = qstring0 (result, index) = self.ownValidator.validate(qstring, 0) if result != self.ownValidator.Valid: qstring = self.ownValidator.fixup(qstring) (result, index) = self.ownValidator.validate(qstring,0) if result != self.ownValidator.Valid: text = str(qstring) if text.upper() not in ["-", "None"]: qt.QMessageBox.critical(self, "Invalid Material '%s'" % text, "The material '%s' is not a valid Formula " \ "nor a valid Material.\n" \ "Please define the material %s or correct the formula\n" % \ (text, text)) self.setCurrentIndex(0) for i in range(self.count()): selftext = self.itemText(i) if selftext == qstring0: self.removeItem(i) break return text = str(qstring) self.setCurrentText(text) ddict = {} ddict['event'] = 'activated' ddict['row'] = self.row ddict['col'] = self.col ddict['text'] = text if qstring0 != qstring: self.removeItem(self.count() - 1) insert = True for i in range(self.count()): selftext = self.itemText(i) if qstring == selftext: insert = False if insert: self.insertItem(-1, qstring) # signal defined in the superclass. self.sigMaterialComboBoxSignal.emit(ddict) class MyCheckBox(qt.QCheckBox): sigMyCheckBoxSignal = qt.pyqtSignal(object) def __init__(self, parent=None, row=0, col=0): qt.QCheckBox.__init__(self, parent) self._row = row self._col = col self.stateChanged[int].connect(self._emitSignal) def _emitSignal(self, *var): ddict = {} ddict["row"] = self._row ddict["col"] = self._col self.sigMyCheckBoxSignal.emit(ddict) class StrategyHandlerDialog(qt.QDialog): def __init__(self, parent=None): qt.QDialog.__init__(self, parent) self.setWindowTitle("Fit Strategy Configuration Window") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.handlerWidget = StrategyHandlerWidget(self) # mimic behavior self.setFitConfiguration = self.handlerWidget.setFitConfiguration self.getParameters = self.handlerWidget.getParameters self.setParameters = self.handlerWidget.setParameters # the actions hbox = qt.QWidget(self) hboxLayout = qt.QHBoxLayout(hbox) hboxLayout.setContentsMargins(0, 0, 0, 0) hboxLayout.setSpacing(2) self.loadButton = qt.QPushButton(hbox) self.loadButton.setText("Load") self.loadButton.setAutoDefault(False) self.loadButton.setToolTip("Read the strategy parameters from other fit configuration file") self.okButton = qt.QPushButton(hbox) self.okButton.setText("OK") self.okButton.setAutoDefault(False) self.dismissButton = qt.QPushButton(hbox) self.dismissButton.setText("Cancel") self.dismissButton.setAutoDefault(False) hboxLayout.addWidget(self.loadButton) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) hboxLayout.addWidget(self.okButton) hboxLayout.addWidget(self.dismissButton) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) # layout self.mainLayout.addWidget(self.handlerWidget) self.mainLayout.addWidget(hbox) # connect self.loadButton.clicked.connect(self.load) self.dismissButton.clicked.connect(self.reject) self.okButton.clicked.connect(self.accept) def sizeHint(self): return qt.QSize(int(1.5*qt.QDialog.sizeHint(self).width()), qt.QDialog.sizeHint(self).height()) def load(self): fileList = PyMcaFileDialogs.getFileList(parent=self, filetypelist=["Fit files (*.cfg)"], message="Select a fit configuration file", mode="OPEN", getfilter=False, single=True) if len(fileList): d = ConfigDict.ConfigDict() d.read(fileList[0]) self.setParameters(d) def main(fileName=None): app = qt.QApplication(sys.argv) w = StrategyHandlerDialog() if fileName is not None: d = ConfigDict.ConfigDict() d.read(fileName) d["fit"]["strategy"] = "SingleLayerStrategy" d["SingleLayerStrategy"] = {} d["SingleLayerStrategy"]["iterations"] = 4 d["SingleLayerStrategy"]["flags"] = 1, 1, 0, 1 d["SingleLayerStrategy"]["peaks"] = "Cr K", "Fe K", "Mn K", "Fe Ka" d["SingleLayerStrategy"]["materials"] = "-", "Goethite", "-", "Goethite" d["SingleLayerStrategy"]["completer"] = "Mo" w.setFitConfiguration(d) if w.exec_() == qt.QDialog.Accepted: print(w.getParameters()) if __name__ == "__main__": if len(sys.argv) < 2: print("Usage: python StrategyHandler FitConfigurationFile") main() else: fileName = sys.argv[1] print(main(fileName)) ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/ConcentrationsWidget.py������������������������������������0000644�0002763�0000175�00000106733�13136054446�024507� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, 'QString'): QString = qt.QString else: QString = str QTVERSION = qt.qVersion() XRFMC_FLAG = False if QTVERSION > '4.0.0': XRFMC_FLAG = True QTable = qt.QTableWidget from PyMca5.PyMcaPhysics.xrf import ConcentrationsTool from PyMca5.PyMcaPhysics.xrf import Elements import time DEBUG = 0 if DEBUG: print("ConcentrationsWidget is in debug mode") class Concentrations(qt.QWidget): sigConcentrationsSignal = qt.pyqtSignal(object) sigClosed = qt.pyqtSignal() def __init__(self, parent=None, name="Concentrations"): qt.QWidget.__init__(self, parent) self.setWindowTitle(name) self.build() self.setParameters = self.concentrationsWidget.setParameters self.getParameters = self.concentrationsWidget.getParameters self.setTimeFactor = self.concentrationsWidget.setTimeFactor self.__lastVar = None self.__lastKw = None def build(self): layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) self.concentrationsTool = ConcentrationsTool.ConcentrationsTool() self.concentrationsWidget = ConcentrationsWidget(self) self.concentrationsTable = ConcentrationsTable(self) layout.addWidget(self.concentrationsWidget) layout.addWidget(self.concentrationsTable) layout.setStretchFactor(self.concentrationsWidget, 0) layout.setStretchFactor(self.concentrationsTable, 1) self.concentrationsWidget.sigConcentrationsWidgetSignal.connect( \ self.mySlot) self.concentrationsTool.configure( self.concentrationsWidget.getParameters()) self.__connected = True def mySlot(self, ddict=None): if ddict is None: ddict = {} if not self.__connected: return try: # try to avoid multiple triggering on Mac OS self.__connected = False self.concentrationsTable.setFocus() app = qt.QApplication.instance() app.processEvents() finally: self.__connected = True if ddict['event'] == 'updated': self.concentrationsTool.configure(ddict) if self.__lastKw is not None: addInfo = False if 'addinfo' in self.__lastKw: if self.__lastKw['addinfo']: addInfo = True try: if addInfo: concentrations, info = self.processFitResult(*self.__lastVar, **self.__lastKw) else: concentrations = self.processFitResult(*self.__lastVar, **self.__lastKw) ddict['concentrations'] = concentrations except: self.__lastKw = None raise self.mySignal(ddict) def mySignal(self, ddict=None): if ddict is None: ddict = {} self.sigConcentrationsSignal.emit(ddict) def processFitResult(self, *var, **kw): self.__lastVar = var self.__lastKw = kw addInfo = False if 'addinfo' in kw: if kw['addinfo']: addInfo = True if DEBUG: if addInfo: ddict, info = self.concentrationsTool.processFitResult(*var, **kw) self.concentrationsTable.fillFromResult(ddict) return ddict, info else: ddict = self.concentrationsTool.processFitResult(*var, **kw) self.concentrationsTable.fillFromResult(ddict) return ddict try: threadResult = self._submitThread(*var, **kw) if type(threadResult) == type((1,)): if len(threadResult): if threadResult[0] == "Exception": raise Exception(threadResult[1], threadResult[2]) if addInfo: ddict, info = threadResult self.concentrationsTable.fillFromResult(ddict) return ddict, info else: ddict = threadResult self.concentrationsTable.fillFromResult(ddict) return ddict except: self.__lastKw = None self.concentrationsTable.setRowCount(0) msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("%s" % sys.exc_info()[1]) msg.exec_() def closeEvent(self, event): qt.QWidget.closeEvent(self, event) ddict = {} ddict['event'] = 'closed' self.sigClosed.emit(ddict) def _submitThread(self, *var, **kw): message = "Calculating concentrations" sthread = SimpleThread(self.concentrationsTool.processFitResult, *var, **kw) sthread.start() msg = qt.QDialog(self, qt.Qt.FramelessWindowHint) msg.setModal(0) msg.setWindowTitle("Please Wait") layout = qt.QHBoxLayout(msg) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) l1 = qt.QLabel(msg) l1.setFixedWidth(l1.fontMetrics().width('##')) l2 = qt.QLabel(msg) l2.setText("%s" % message) l3 = qt.QLabel(msg) l3.setFixedWidth(l3.fontMetrics().width('##')) layout.addWidget(l1) layout.addWidget(l2) layout.addWidget(l3) msg.show() qApp = qt.QApplication.instance() qApp.processEvents() i = 0 ticks = ['-', '\\', "|", "/", "-", "\\", '|', '/'] while (sthread.isRunning()): i = (i + 1) % 8 l1.setText(ticks[i]) l3.setText(" " + ticks[i]) qApp = qt.QApplication.instance() qApp.processEvents() time.sleep(1) msg.close() result = sthread._result del sthread self.raise_() return result class SimpleThread(qt.QThread): def __init__(self, function, *var, **kw): if kw is None: kw = {} qt.QThread.__init__(self) self._function = function self._var = var self._kw = kw self._result = None def run(self): if DEBUG: self._result = self._function(*self._var, **self._kw) else: try: self._result = self._function(*self._var, **self._kw) except: self._result = ("Exception",) + sys.exc_info() class ConcentrationsWidget(qt.QWidget): sigConcentrationsWidgetSignal = qt.pyqtSignal(object) def __init__(self, parent=None, name="Concentrations"): qt.QWidget.__init__(self, parent) self.setWindowTitle(name) self._liveTime = None self.build() ddict = {} ddict['usematrix'] = 0 ddict['useattenuators'] = 1 ddict['usexrfmc'] = 0 ddict['flux'] = 1.0E10 ddict['time'] = 1.0 ddict['useautotime'] = 0 ddict['area'] = 30.0 ddict['distance'] = 10.0 ddict['reference'] = "Auto" ddict['mmolarflag'] = 0 self.setParameters(ddict) def build(self): layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) buttonGroup = qt.QGroupBox(self) buttonGroup.layout = qt.QVBoxLayout(buttonGroup) buttonGroup.layout.setContentsMargins(0, 0, 0, 0) buttonGroup.layout.setSpacing(0) layout.addWidget(buttonGroup) self.fluxCheckBox = qt.QCheckBox(buttonGroup) self.fluxCheckBox.setText("From fundamental parameters") wf = qt.QWidget(buttonGroup) wf.layout = qt.QHBoxLayout(wf) wf.layout.setContentsMargins(0, 0, 0, 0) wf.layout.setSpacing(0) wf.layout.addWidget(qt.HorizontalSpacer(wf)) self.fundamentalWidget = FundamentalWidget(wf) wf.layout.addWidget(self.fundamentalWidget) wf.layout.addWidget(qt.HorizontalSpacer(wf)) self.matrixCheckBox = qt.QCheckBox(buttonGroup) self.matrixCheckBox.setText("From matrix composition") self.fluxCheckBox.setChecked(True) wm = qt.QWidget(buttonGroup) wm.layout = qt.QHBoxLayout(wm) wm.layout.setContentsMargins(0, 0, 0, 0) wm.layout.setSpacing(0) wm.layout.addWidget(qt.HorizontalSpacer(wm)) referenceLabel = qt.QLabel(wm) wm.layout.addWidget(referenceLabel) referenceLabel.setText("Matrix Reference Element:") #self.referenceCombo=MyQComboBox(wm) #self.referenceCombo=qt.QComboBox(wm) #self.referenceCombo.setEditable(True) #self.referenceCombo.insertItem('Auto') self.referenceLine = MyQLineEdit(wm) wm.layout.addWidget(self.referenceLine) self.referenceLine.setFixedWidth( self.referenceLine.fontMetrics().width('#######')) wm.layout.addWidget(qt.HorizontalSpacer(wm)) self.referenceLine.sigMyQLineEditSignal.connect( \ self._referenceLineSlot) buttonGroup.layout.addWidget(self.fluxCheckBox) buttonGroup.layout.addWidget(wf) buttonGroup.layout.addWidget(self.matrixCheckBox) buttonGroup.layout.addWidget(wm) #self.fundamentalWidget.setEnabled(False) self.attenuatorsCheckBox = qt.QCheckBox(self) self.attenuatorsCheckBox.setText("Consider attenuators in calculations") self.attenuatorsCheckBox.setDisabled(True) #Multilayer secondary excitation self.secondaryCheckBox = qt.QCheckBox(self) self.secondaryCheckBox.setText("Consider secondary excitation") self.tertiaryCheckBox = qt.QCheckBox(self) self.tertiaryCheckBox.setText("Consider tertiary excitation") layout.addWidget(self.attenuatorsCheckBox) layout.addWidget(self.secondaryCheckBox) layout.addWidget(self.tertiaryCheckBox) #XRFMC secondary excitation if XRFMC_FLAG: self.xrfmcCheckBox = qt.QCheckBox(self) self.xrfmcCheckBox.setText("use Monte Carlo code to correct higher order excitations") layout.addWidget( self.xrfmcCheckBox) #mM checkbox self.mMolarCheckBox = qt.QCheckBox(self) self.mMolarCheckBox.setText("Elemental mM concentrations (assuming 1 l of solution is 1000 * matrix_density grams)") layout.addWidget(self.mMolarCheckBox) layout.addWidget(qt.VerticalSpacer(self)) buttonGroup.show() self.fluxCheckBox.clicked.connect(self._fluxCheckBoxSlot) self.matrixCheckBox.clicked.connect(self.checkBoxSlot) self.attenuatorsCheckBox.clicked.connect(self.checkBoxSlot) self.secondaryCheckBox.clicked.connect(self._secondaryCheckBoxSlot) self.tertiaryCheckBox.clicked.connect(self._tertiaryCheckBoxSlot) if XRFMC_FLAG: self.xrfmcCheckBox.clicked.connect(self._xrfmcCheckBoxSlot) self.mMolarCheckBox.clicked.connect(self.checkBoxSlot) self.fundamentalWidget.flux.sigMyQLineEditSignal.connect( \ self._mySignal) self.fundamentalWidget.area.sigMyQLineEditSignal.connect( \ self._mySignal) self.fundamentalWidget.time.sigMyQLineEditSignal.connect( \ self._mySignal) self.fundamentalWidget.distance.sigMyQLineEditSignal.connect( \ self._mySignal) self.fundamentalWidget.autoTimeCheckBox.clicked.connect( \ self.__autoTimeSlot) def __autoTimeSlot(self): return self._autoTimeSlot() def _autoTimeSlot(self, signal=True): if self.fundamentalWidget.autoTimeCheckBox.isChecked(): if self._liveTime is None: self.fundamentalWidget.autoTimeCheckBox.setChecked(False) self.fundamentalWidget.time.setEnabled(True) else: self.fundamentalWidget.time.setText("%.6g" % self._liveTime) self.fundamentalWidget.time.setEnabled(False) if signal: self._mySignal() else: self.fundamentalWidget.time.setEnabled(True) def setTimeFactor(self, factor=None, signal=False): self._liveTime = factor if factor is None: self.fundamentalWidget.autoTimeCheckBox.setChecked(False) self.fundamentalWidget.time.setEnabled(True) else: # act according to the settings self._autoTimeSlot(signal=signal) def _fluxCheckBoxSlot(self): if self.fluxCheckBox.isChecked(): self.matrixCheckBox.setChecked(False) else: self.matrixCheckBox.setChecked(True) self.checkBoxSlot() def _secondaryCheckBoxSlot(self): if self.secondaryCheckBox.isChecked(): if XRFMC_FLAG: self.xrfmcCheckBox.setChecked(False) self.tertiaryCheckBox.setChecked(False) self.checkBoxSlot() def _tertiaryCheckBoxSlot(self): if self.tertiaryCheckBox.isChecked(): if XRFMC_FLAG: self.xrfmcCheckBox.setChecked(False) self.secondaryCheckBox.setChecked(False) self.checkBoxSlot() def _xrfmcCheckBoxSlot(self): if self.xrfmcCheckBox.isChecked(): self.secondaryCheckBox.setChecked(False) self.checkBoxSlot() def checkBoxSlot(self): if self.matrixCheckBox.isChecked(): self.fundamentalWidget.setInputDisabled(True) self.referenceLine.setEnabled(True) self.fluxCheckBox.setChecked(False) else: self.fundamentalWidget.setInputDisabled(False) self.referenceLine.setEnabled(False) self.fluxCheckBox.setChecked(True) self._mySignal() def _referenceLineSlot(self, ddict): if ddict['event'] == "returnPressed": current = str(self.referenceLine.text()) current = current.replace(' ', '') if (current == '') or (current.upper() == 'AUTO'): pass elif len(current) == 2: current = current.upper()[0] + current.lower()[1] elif len(current) == 1: current = current.upper()[0] else: self.referenceLine.setText('Auto') msg = qt.QMessageBox(self.referenceLine) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Element %s" % current) msg.exec_() self.referenceLine.setFocus() return if (current == '') or (current.upper() == 'AUTO'): self.referenceLine.setText('Auto') self._mySignal() elif not Elements.isValidFormula(current): self.referenceLine.setText('Auto') msg = qt.QMessageBox(self.referenceLine) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Element %s" % current) msg.exec_() self.referenceLine.setFocus() else: self.referenceLine.setText(current) self._mySignal() def _mySignal(self, dummy=None): ddict = self.getParameters() ddict['event'] = 'updated' self.sigConcentrationsWidgetSignal.emit(ddict) def getParameters(self): ddict = {} if self.matrixCheckBox.isChecked(): ddict['usematrix'] = 1 else: ddict['usematrix'] = 0 if self.attenuatorsCheckBox.isChecked(): ddict['useattenuators'] = 1 else: ddict['useattenuators'] = 0 if self.tertiaryCheckBox.isChecked(): ddict['usemultilayersecondary'] = 2 elif self.secondaryCheckBox.isChecked(): ddict['usemultilayersecondary'] = 1 else: ddict['usemultilayersecondary'] = 0 ddict['usexrfmc'] = 0 if XRFMC_FLAG: if self.xrfmcCheckBox.isChecked(): ddict['usexrfmc'] = 1 if self.mMolarCheckBox.isChecked(): ddict['mmolarflag'] = 1 else: ddict['mmolarflag'] = 0 ddict['flux'] = float(str(self.fundamentalWidget.flux.text())) ddict['time'] = float(str(self.fundamentalWidget.time.text())) ddict['area'] = float(str(self.fundamentalWidget.area.text())) ddict['distance'] = float(str(self.fundamentalWidget.distance.text())) #ddict['reference'] = str(self.referenceCombo.currentText()) ddict['reference'] = str(self.referenceLine.text()) if self.fundamentalWidget.autoTimeCheckBox.isChecked(): ddict['useautotime'] = 1 if self._liveTime is None: #ddict["useautotime"] = 0 #self.fundamentalWidget.autoTimeCheckBox.setChecked(False) msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Cannot use automatic concentrations time setting!!!") msg.exec_() else: ddict['time'] = float(self._liveTime) else: ddict['useautotime'] = 0 return ddict def setParameters(self, ddict, signal=None): if signal is None: signal = True if 'usemultilayersecondary' in ddict: if ddict['usemultilayersecondary']: if ddict['usemultilayersecondary'] == 2: self.tertiaryCheckBox.setChecked(True) self.secondaryCheckBox.setChecked(False) else: self.tertiaryCheckBox.setChecked(False) self.secondaryCheckBox.setChecked(True) else: self.secondaryCheckBox.setChecked(False) self.tertiaryCheckBox.setChecked(False) else: self.secondaryCheckBox.setChecked(False) self.tertiaryCheckBox.setChecked(False) if XRFMC_FLAG: if 'usexrfmc' in ddict: if ddict['usexrfmc']: self.xrfmcCheckBox.setChecked(True) else: self.xrfmcCheckBox.setChecked(False) if 'mmolarflag' in ddict: if ddict['mmolarflag']: self.mMolarCheckBox.setChecked(True) else: self.mMolarCheckBox.setChecked(False) else: self.mMolarCheckBox.setChecked(False) usematrix = ddict.get('usematrix', False) if usematrix: self.fluxCheckBox.setChecked(False) self.matrixCheckBox.setChecked(True) else: self.fluxCheckBox.setChecked(True) self.matrixCheckBox.setChecked(False) ddict['useattenuators'] = 1 if ddict['useattenuators']: self.attenuatorsCheckBox.setChecked(True) else: self.attenuatorsCheckBox.setChecked(False) if 'reference' in ddict: #self.referenceCombo.setCurrentText(QString(ddict['reference'])) self.referenceLine.setText(QString(ddict['reference'])) else: #self.referenceCombo.setCurrentText(QString("Auto")) self.referenceLine.setText(QString("Auto")) self.fundamentalWidget.flux.setText("%.6g" % ddict['flux']) self.fundamentalWidget.area.setText("%.6g" % ddict['area']) self.fundamentalWidget.distance.setText("%.6g" % ddict['distance']) if ddict['time'] is not None: self.fundamentalWidget.time.setText("%.6g" % ddict['time']) autotime = ddict.get("useautotime", False) if autotime: self.fundamentalWidget.autoTimeCheckBox.setChecked(True) if self._liveTime is not None: self.fundamentalWidget.time.setText("%.6g" % self._liveTime) else: self.fundamentalWidget.autoTimeCheckBox.setChecked(False) if self.matrixCheckBox.isChecked(): self.fundamentalWidget.setInputDisabled(True) self.referenceLine.setEnabled(True) else: self.fundamentalWidget.setInputDisabled(False) self.referenceLine.setEnabled(False) if signal: self._mySignal() def setReferenceOptions(self, options=None): if options is None: options = ['Auto'] old = self.referenceCombo.currentText() if 'Auto' not in options: options = ['Auto'] + options self.referenceCombo.clear() self.referenceCombo.insertStrList(options) if old in options: self.referenceCombo.setCurrentText(old) else: self.referenceCombo.setCurrentText('Auto') class FundamentalWidget(qt.QWidget): def __init__(self, parent=None, name=""): qt.QWidget.__init__(self, parent) self.build() def build(self, spacing=2): layout = qt.QHBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(spacing) #column 0 c0 = qt.QWidget(self) c0.layout = qt.QVBoxLayout(c0) c0.layout.setContentsMargins(0, 0, 0, 0) c0.layout.setSpacing(spacing) c0l0 = qt.QLabel(c0) c0l0.setText("Flux (photons/s)") c0l1 = qt.QLabel(c0) c0l1.setText("Active Area (cm2)") c0.layout.addWidget(c0l0) c0.layout.addWidget(c0l1) #column 1 c1 = qt.QWidget(self) c1.layout = qt.QVBoxLayout(c1) c1.layout.setContentsMargins(0, 0, 0, 0) c1.layout.setSpacing(spacing) self.flux = MyQLineEdit(c1) self.flux.setValidator(qt.QDoubleValidator(self.flux)) self.area = MyQLineEdit(c1) self.area.setValidator(qt.QDoubleValidator(self.area)) c1.layout.addWidget(self.flux) c1.layout.addWidget(self.area) #column 2 c2 = qt.QWidget(self) c2.layout = qt.QVBoxLayout(c2) c2.layout.setContentsMargins(0, 0, 0, 0) c2.layout.setSpacing(spacing) c2l0 = qt.QLabel(c2) c2l0.setText("x time(seconds)") c2l1 = qt.QLabel(c2) c2l1.setText("distance (cm)") c2.layout.addWidget(c2l0) c2.layout.addWidget(c2l1) #column 3 c3 = qt.QWidget(self) c3.layout = qt.QGridLayout(c3) c3.layout.setContentsMargins(0, 0, 0, 0) c3.layout.setSpacing(spacing) self.time = MyQLineEdit(c3) self.time.setValidator(qt.QDoubleValidator(self.time)) self.autoTimeCheckBox = qt.QCheckBox(c3) self.autoTimeCheckBox.setText("Use Automatic Factor") self.autoTimeCheckBox.setChecked(False) self.autoTimeCheckBox.setToolTip("Attempt to read from the incoming data generating an error if factor not present") self.distance = MyQLineEdit(c3) self.distance.setValidator(qt.QDoubleValidator(self.distance)) c3.layout.addWidget(self.time, 0, 0) c3.layout.addWidget(self.autoTimeCheckBox, 0, 1) c3.layout.addWidget(self.distance, 1, 0) layout.addWidget(c0) layout.addWidget(c1) layout.addWidget(c2) layout.addWidget(c3) def setInputDisabled(self, a=None): if a is None: a = True if a: self.flux.setEnabled(False) self.time.setEnabled(False) self.area.setEnabled(False) self.distance.setEnabled(False) else: self.flux.setEnabled(True) self.time.setEnabled(True) self.area.setEnabled(True) self.distance.setEnabled(True) class ConcentrationsTable(QTable): def __init__(self, parent=None, **kw): QTable.__init__(self, parent) if 'labels' in kw: self.labels = [] for label in kw['labels']: self.labels.append(label) else: self.labels = ['Element', 'Group', 'Fit Area', 'Mass fraction'] self.setColumnCount(len(self.labels)) self.setRowCount(1) for i in range(len(self.labels)): item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(self.labels[i], qt.QTableWidgetItem.Type) self.setHorizontalHeaderItem(i, item) self.resizeColumnToContents(i) def fillFromResult(self, result): if 'mmolar' in result: mmolarflag = True else: mmolarflag = False groupsList = result['groups'] nrows = len(groupsList) if nrows != self.rowCount(): self.setRowCount(nrows) if mmolarflag: self.labels = ['Element', 'Group', 'Fit Area', 'Sigma Area', 'mM concentration'] else: self.labels = ['Element', 'Group', 'Fit Area', 'Sigma Area', 'Mass fraction'] if 'layerlist' in result: for label in result['layerlist']: self.labels += [label] self.setColumnCount(len(self.labels)) for i in range(len(self.labels)): item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(self.labels[i], qt.QTableWidgetItem.Type) item.setText(self.labels[i]) self.setHorizontalHeaderItem(i, item) line = 0 for group in groupsList: element, group0 = group.split() # transitions = group0 + " xrays" fitarea = QString("%.6e" % (result['fitarea'][group])) sigmaarea = QString("%.2e" % (result['sigmaarea'][group])) area = QString("%.6e" % (result['area'][group])) if result['mass fraction'][group] < 0.0: fraction = QString("Unknown") else: if mmolarflag: fraction = QString("%.4g" % (result['mmolar'][group])) else: fraction = QString("%.4g" % (result['mass fraction'][group])) if line % 2: color = qt.QColor(255, 250, 205) else: color = qt.QColor('white') if 'Expected Area' in self.labels: fields = [element, group0, fitarea, sigmaarea, area, fraction] else: fields = [element, group0, fitarea, sigmaarea, fraction] if 'layerlist' in result: for layer in result['layerlist']: if result[layer]['mass fraction'][group] < 0.0: fraction = QString("Unknown") else: if mmolarflag: fraction = QString("%.4g" % (result[layer]['mmolar'][group])) else: fraction = QString("%.4g" % (result[layer]['mass fraction'][group])) fields += [fraction] col = 0 for field in fields: item = self.item(line, col) if item is None: item = qt.QTableWidgetItem(field, qt.QTableWidgetItem.Type) self.setItem(line, col, item) else: item.setText(field) if hasattr(item, "setBackground"): # Qt5 item.setBackground(color) else: # Qt4 item.setBackgroundColor(color) item.setFlags(qt.Qt.ItemIsSelectable | qt.Qt.ItemIsEnabled) col += 1 line += 1 for i in range(self.columnCount()): if (i > 1) and (i < 5): self.resizeColumnToContents(i) def getHtmlText(self): lemon = ("#%x%x%x" % (255, 250, 205)).upper() white = "#FFFFFF" hcolor = ("#%x%x%x" % (230, 240, 249)).upper() text = "" text += ("<nobr>") text += ("<table>") text += ("<tr>") for l in range(self.columnCount()): text += ('<td align="left" bgcolor="%s"><b>' % hcolor) item = self.horizontalHeaderItem(l) text += str(item.text()) text += ("</b></td>") text += ("</tr>") #text+=( str(QString("</br>")) for r in range(self.rowCount()): text += ("<tr>") if r % 2: color = white b = "<b>" else: b = "<b>" color = lemon for c in range(self.columnCount()): moretext = "" item = self.item(r, c) if item is not None: moretext = str(item.text()) if len(moretext): finalcolor = color else: finalcolor = white if c < 2: text += ('<td align="left" bgcolor="%s">%s' % (finalcolor, b)) else: text += ('<td align="right" bgcolor="%s">%s' % (finalcolor, b)) text += moretext if len(b): text += ("</td>") else: text += ("</b></td>") moretext = "" item = self.item(r, 0) if item is not None: moretext = str(item.text()) if len(moretext): text += ("</b>") text += ("</tr>") text += ("\n") text += ("</table>") text += ("</nobr>") return text def _copySelection(self): selected_idx = self.selectedIndexes() selected_idx_tuples = [(idx.row(), idx.column()) for idx in selected_idx] selected_rows = [idx[0] for idx in selected_idx_tuples] selected_columns = [idx[1] for idx in selected_idx_tuples] if sys.platform.startswith("win"): newline = "\r\n" else: newline = "\n" copied_text = "" for row in range(min(selected_rows), max(selected_rows) + 1): for col in range(min(selected_columns), max(selected_columns) + 1): item_text = self.item(row, col).text() if (row, col) in selected_idx_tuples: copied_text += item_text copied_text += "\t" # remove the right-most tabulation copied_text.rstrip("\t") # add a newline copied_text += newline # remove final newline copied_text.rstrip(newline) # put this text into clipboard qapp = qt.QApplication.instance() qapp.clipboard().setText(copied_text) def keyPressEvent(self, keyEvent): #if there is a control-C event copy data to the clipboard if (keyEvent.key() == qt.Qt.Key_C) and \ (keyEvent.modifiers() & qt.Qt.ControlModifier): self._copySelection() class MyQLineEdit(qt.QLineEdit): sigMyQLineEditSignal = qt.pyqtSignal(object) def __init__(self, parent=None, name=None): qt.QLineEdit.__init__(self, parent) self.editingFinished[()].connect(self._mySignal) #TODO: Focus in to set yellow color, focus out to set white color def _mySignal(self): ddict = {} ddict['event'] = "returnPressed" self.sigMyQLineEditSignal.emit(ddict) class MyQComboBox(qt.QComboBox): def __init__(self, parent=None, name=None, fl=0): qt.QComboBox.__init__(self, parent) self.setEditable(True) self._lineEdit = MyQLineEdit() self.setLineEdit(self._lineEdit) self._lineEdit.sigMyQLineEditSignal.connect(self._mySlot) def _mySlot(self, ddict): if ddict['event'] == "returnPressed": current = str(self.currentText()) current = current.replace(' ', '') if (current == '') or (current.upper() == 'AUTO'): pass elif len(current) == 2: current = current.upper()[0] + current.lower()[1] elif len(current) == 1: current = current.upper()[0] else: msg = qt.QMessageBox(self._lineEdit) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Element %s" % current) msg.exec_() self._lineEdit.setFocus() if not Elements.isValidFormula(current): msg = qt.QMessageBox(self._lineEdit) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Element %s" % current) msg.exec_() self._lineEdit.setFocus() else: self.setCurrentText(current) if __name__ == "__main__": import getopt import copy # import sys # from PyMca5 import ConcentrationsTool from PyMca5.PyMcaIO import ConfigDict if len(sys.argv) > 1: options = '' longoptions = ['flux=', 'time=', 'area=', 'distance=', 'attenuators=', 'usematrix='] opts, args = getopt.getopt( sys.argv[1:], options, longoptions) app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) demo = Concentrations() config = demo.getParameters() for opt, arg in opts: if opt in ('--flux'): config['flux'] = float(arg) elif opt in ('--area'): config['area'] = float(arg) elif opt in ('--time'): config['time'] = float(arg) elif opt in ('--distance'): config['distance'] = float(arg) elif opt in ('--attenuators'): config['useattenuators'] = int(float(arg)) elif opt in ('--usematrix'): config['usematrix'] = int(float(arg)) demo.setParameters(config) filelist = args for file in filelist: d = ConfigDict.ConfigDict() d.read(file) for material in d['result']['config']['materials'].keys(): Elements.Material[material] = copy.deepcopy(d['result']['config']['materials'][material]) demo.processFitResult(fitresult=d, elementsfrommatrix=False) demo.show() app.exec_() else: print("Usage:") print("ConcentrationsWidget.py [--flux=xxxx --area=xxxx] fitresultfile") �������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/XRFMCPyMca.py����������������������������������������������0000644�0002763�0000175�00000103460�13136054446�022155� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import time import traceback from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5 import PyMcaDirs as xrfmc_dirs from PyMca5.PyMcaIO import ConfigDict from PyMca5.PyMcaGui import SubprocessLogWidget from PyMca5.PyMcaPhysics.xrf.XRFMC import XRFMCHelper QTVERSION = qt.qVersion() class VerticalSpacer(qt.QWidget): def __init__(self, *args): qt.QWidget.__init__(self, *args) self.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Expanding)) class HorizontalSpacer(qt.QWidget): def __init__(self, *args): qt.QWidget.__init__(self, *args) self.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Expanding, qt.QSizePolicy.Fixed)) class GetFileList(qt.QGroupBox): sigFileListUpdated = qt.pyqtSignal(object) def __init__(self, parent=None, title='File Input', nfiles=1): qt.QGroupBox.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.__maxNFiles = nfiles self.fileList = [] self.setTitle(title) self.build() def build(self, text=""): self._label = qt.QLabel(self) self._label.setText(text) self.__listView = qt.QTextEdit(self) n = int(min(self.__maxNFiles, 10)) self.__listButton = qt.QPushButton(self) self.__listButton.setText('Browse') self.__listView.setMaximumHeight(n*self.__listButton.sizeHint().height()) self.__listButton.clicked.connect(self.__browseList) grid = self.mainLayout grid.addWidget(self._label, 0, 0, qt.Qt.AlignTop|qt.Qt.AlignLeft) grid.addWidget(self.__listView, 0, 1) grid.addWidget(self.__listButton, 0, 2, qt.Qt.AlignTop|qt.Qt.AlignRight) def __browseList(self, dummy=True): return self._browseList() def _browseList(self, filetypes="All Files (*)"): self.inputDir = xrfmc_dirs.inputDir if not os.path.exists(self.inputDir): self.inputDir = os.getcwd() wdir = self.inputDir filedialog = qt.QFileDialog(self) filedialog.setWindowTitle("Open a set of files") filedialog.setDirectory(wdir) filedialog.setModal(1) filedialog.setFileMode(filedialog.ExistingFiles) if self.__maxNFiles == 1: filelist = qt.QFileDialog.getOpenFileName(self, "Open a file", wdir, filetypes) if QTVERSION > "5.0.0": # in PyQt5 the call corresponds to getOpenFileNameAndFilter filelist = filelist[0] if len(filelist): filelist = [filelist] else: filelist = qt.QFileDialog.getOpenFileNames(self, "Open a set of files", wdir, filetypes) if QTVERSION > "5.0.0": # in PyQt5 the call corresponds to getOpenFileNameAndFilter filelist = filelist[0] if len(filelist): filelist = [str(x) for x in filelist] self.setFileList(filelist) def setFileList(self,filelist=None): if filelist is None: filelist = [] text = "" self.fileList = filelist if len(self.fileList): self.fileList.sort() for i in range(len(self.fileList)): ffile = self.fileList[i] if i == 0: text += "%s" % ffile else: text += "\n%s" % ffile if len(self.fileList): self.inputDir = os.path.dirname(qt.safe_str(self.fileList[0])) xrfmc_dirs.inputDir = os.path.dirname(qt.safe_str(self.fileList[0])) self.__listView.clear() self.__listView.insertPlainText(text) ddict = {} ddict['event'] = 'fileListUpdated' ddict['filelist'] = self.fileList * 1 self.sigFileListUpdated.emit(ddict) def getFileList(self): if not len(self.fileList): return [] return self.fileList * 1 class PyMcaFitFileList(GetFileList): def __init__(self, parent=None): GetFileList.__init__(self, parent, title='PyMca Configuruation or Fit Result File') self.build("") def _browseList(self, filetypes=\ "PyMca .cfg Files (*.cfg)\nPyMca .fit Files (*.fit)"): GetFileList._browseList(self, filetypes) class XRFMCProgramFile(GetFileList): def __init__(self, parent=None): GetFileList.__init__(self, parent, title='XMIMSIM-PyMca Program Location') self.build("") if XRFMCHelper.XMIMSIM_PYMCA is not None: self.setFileList([XRFMCHelper.XMIMSIM_PYMCA]) def _browseList(self, filetypes="All Files (*)"): self.inputDir = xrfmc_dirs.inputDir if not os.path.exists(self.inputDir): self.inputDir = os.getcwd() wdir = self.inputDir filedialog = qt.QFileDialog(self) if sys.platform == "darwin": filedialog.setWindowTitle("Select XMI-MSIM application bundle") else: filedialog.setWindowTitle("Select xmimsim-pymca executable") filedialog.setDirectory(wdir) filedialog.setModal(1) filedialog.setFileMode(filedialog.ExistingFiles) if sys.platform == 'darwin': filelist = filedialog.exec_() if filelist: filelist = filedialog.selectedFiles() filelist = filelist[0] xmimsim = os.path.join(qt.safe_str(filelist), "Contents", "Resources", "xmimsim-pymca") filelist = [xmimsim] else: filelist = qt.QFileDialog.getOpenFileName(self, "Selec xmimsim-pymca executable", wdir, filetypes) if QTVERSION > "5.0.0": # in PyQt5 the call corresponds to getOpenFileNameAndFilter filelist = filelist[0] if len(filelist): filelist = [filelist] if len(filelist): self.setFileList(filelist) def setFileList(self, fileList): oldInputDir = xrfmc_dirs.inputDir oldOutputDir = xrfmc_dirs.outputDir if os.path.exists(fileList[0]): GetFileList.setFileList(self, fileList) if oldInputDir is not None: xrfmc_dirs.inputDir = oldInputDir if oldOutputDir is not None: xrfmc_dirs.outputDir = oldOutputDir class XRFMCIniFile(GetFileList): def __init__(self, parent=None): GetFileList.__init__(self, parent, title='XMIMSIM-PyMca Configuration File') self.build("") def _browseList(self, filetypes = "XMIMSIM-PyMca .ini File (*.ini)\nXMIMSIM-PyMca .fit File (*.fit)"): GetFileList._browseList(self, filetypes) class XRFMCOutputDir(GetFileList): def __init__(self, parent=None): GetFileList.__init__(self, parent, title='XMIMSIM-PyMca Output Directory') self.build("") def _browseList(self, filetypes="All Files (*)"): self.outputDir = xrfmc_dirs.outputDir if not os.path.exists(self.outputDir): self.outputDir = os.getcwd() wdir = self.outputDir filedialog = qt.QFileDialog(self) filedialog.setWindowTitle("Open a set of files") filedialog.setDirectory(wdir) filedialog.setModal(1) filedialog.setFileMode(filedialog.DirectoryOnly) filelist = qt.QFileDialog.getExistingDirectory(self, "Please select the output directory", wdir) if len(filelist): filelist = [str(filelist)] self.setFileList(filelist) class XRFMCParameters(qt.QGroupBox): def __init__(self, parent=None, title='XMIMSIM-PyMca Configuration'): qt.QGroupBox.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.setTitle(title) # I should read a default configuration file # for the time being I define it here self.__configuration = {} self.__configuration['xrfmc'] ={} self.__configuration['xrfmc']['setup'] = {} current = self.__configuration['xrfmc']['setup'] current['p_polarisation'] = 0.995 current['source_sample_distance'] = 100.0 current['slit_distance'] = 100.0 current['slit_width_x'] = 0.005 current['slit_width_y'] = 0.005 current['source_size_x'] = 0.0005 current['source_size_y'] = 0.0001 current['source_diverg_x'] = 0.0001 current['source_diverg_y'] = 0.0001 current['nmax_interaction'] = 4 current['layer'] = 1 # these are assumed by the Monte Carlo code current['collimator_height'] = 0.0 current['collimator_diameter'] = 0.0 self.build() self.__update() def build(self): self.__text = ["Photon beam polarisation degree:", "Source horizontal size FWHM (cm):", "Source vertical size FWHM (cm):", "Source horizontal divergence (rad):", "Source vertical divergence (rad):", "Distance beam source to slits (cm):", "Distance beam source to sample (cm):", "Slit width (cm):", "Slit height (cm):", # "Detector acceptance angle (rad):", "Maximum number of sample interactions: ", "Sample layer to be adjusted:"] i = 0 for t in self.__text: label = qt.QLabel(self) label.setText(t) self.mainLayout.addWidget(label, i, 0) i += 1 self.__widgetList = [] #polarisation i = 0 self.polarisationSB = qt.QDoubleSpinBox(self) self.polarisationSB.setRange(0.0, 1.0) self.polarisationSB.setDecimals(5) self.__widgetList.append(self.polarisationSB) self.mainLayout.addWidget(self.polarisationSB, i, 1) i += 1 #source horizontal size self.sourceHSize = qt.QDoubleSpinBox(self) self.sourceHSize.setRange(0.0, 1.0) self.sourceHSize.setDecimals(5) self.__widgetList.append(self.sourceHSize) self.mainLayout.addWidget(self.sourceHSize, i, 1) i += 1 #source vertical size self.sourceVSize = qt.QDoubleSpinBox(self) self.sourceVSize.setRange(0.0, 1.0) self.sourceVSize.setDecimals(5) self.__widgetList.append(self.sourceVSize) self.mainLayout.addWidget(self.sourceVSize, i, 1) i += 1 # Source horizontal divergence self.sourceHDivergence = qt.QDoubleSpinBox(self) self.sourceHDivergence.setDecimals(5) self.sourceHDivergence.setRange(0.0, 3.1415926) self.__widgetList.append(self.sourceHDivergence) self.mainLayout.addWidget(self.sourceHDivergence, i, 1) i += 1 # Source vertical divergence self.sourceVDivergence = qt.QDoubleSpinBox(self) self.sourceVDivergence.setDecimals(5) self.sourceVDivergence.setRange(0.0, 3.14159) self.__widgetList.append(self.sourceVDivergence) self.mainLayout.addWidget(self.sourceVDivergence, i, 1) i += 1 # Distance source sample self.sourceSampleDistance = qt.QDoubleSpinBox(self) self.sourceSampleDistance.setDecimals(5) self.sourceSampleDistance.setRange(0.0001, 100000.0) self.__widgetList.append(self.sourceSampleDistance) self.mainLayout.addWidget(self.sourceSampleDistance, i, 1) i += 1 # Distance source slits self.sourceSlitsDistance = qt.QDoubleSpinBox(self) self.sourceSlitsDistance.setDecimals(5) self.sourceSlitsDistance.setRange(0.0001, 100000.0) self.__widgetList.append(self.sourceSlitsDistance) self.mainLayout.addWidget(self.sourceSlitsDistance, i, 1) i += 1 # Slit H size self.slitsHWidth = qt.QDoubleSpinBox(self) self.slitsHWidth.setDecimals(5) self.slitsHWidth.setRange(0.0001, 100.0) self.__widgetList.append(self.slitsHWidth) self.mainLayout.addWidget(self.slitsHWidth, i, 1) i += 1 # Slit V size self.slitsVWidth = qt.QDoubleSpinBox(self) self.slitsVWidth.setDecimals(5) self.slitsVWidth.setRange(0.0001, 100.0) self.__widgetList.append(self.slitsVWidth) self.mainLayout.addWidget(self.slitsVWidth, i, 1) i += 1 # Detector acceptance angle if 0: # this was used in previous versions of the code self.acceptanceAngle = qt.QDoubleSpinBox(self) self.acceptanceAngle.setDecimals(5) self.acceptanceAngle.setRange(0.0001, 3.14159) self.__widgetList.append(self.acceptanceAngle) self.mainLayout.addWidget(self.acceptanceAngle, i, 1) i += 1 # Maximum number of interactions self.maxInteractions = qt.QSpinBox(self) self.maxInteractions.setMinimum(1) self.__widgetList.append(self.maxInteractions) self.mainLayout.addWidget(self.maxInteractions, i, 1) i += 1 # Layer to be adjusted self.fitLayer = qt.QSpinBox(self) self.fitLayer.setMinimum(0) self.fitLayer.setValue(0) self.__widgetList.append(self.fitLayer) self.mainLayout.addWidget(self.fitLayer, i, 1) i += 1 def setParameters(self, ddict0): if 'xrfmc' in ddict0: ddict = ddict0['xrfmc']['setup'] else: ddict= ddict0 current = self.__configuration['xrfmc']['setup'] keyList = current.keys() for key in keyList: value = ddict.get(key, current[key]) current[key] = value self.__update() return def __update(self): current = self.__configuration['xrfmc']['setup'] key = 'p_polarisation' self.polarisationSB.setValue(current[key]) key = 'source_diverg_x' self.sourceHDivergence.setValue(current[key]) key = 'source_diverg_y' self.sourceVDivergence.setValue(current[key]) key = 'source_sample_distance' self.sourceSampleDistance.setValue(current[key]) key = 'slit_distance' self.sourceSlitsDistance.setValue(current[key]) key = 'slit_width_x' self.slitsHWidth.setValue(current[key]) key = 'slit_width_y' self.slitsVWidth.setValue(current[key]) key = 'source_size_x' self.sourceHSize.setValue(current[key]) key = 'source_size_y' self.sourceVSize.setValue(current[key]) if 0: key = 'detector_acceptance_angle' self.acceptanceAngle.setValue(current[key]) key = 'nmax_interaction' self.maxInteractions.setValue(current[key]) key = 'layer' self.fitLayer.setValue(current[key] - 1) def getParameters(self): current = self.__configuration['xrfmc']['setup'] key = 'p_polarisation' current[key] = self.polarisationSB.value() key = 'source_diverg_x' current[key] = self.sourceHDivergence.value() key = 'source_diverg_y' current[key] = self.sourceVDivergence.value() key = 'source_sample_distance' current[key] = self.sourceSampleDistance.value() key = 'slit_distance' current[key] = self.sourceSlitsDistance.value() key = 'slit_width_x' current[key] = self.slitsHWidth.value() key = 'slit_width_y' current[key] = self.slitsVWidth.value() key = 'source_size_x' current[key] = self.sourceHSize.value() key = 'source_size_y' current[key] = self.sourceVSize.value() if 0: # used in older versions key = 'detector_acceptance_angle' current[key] = self.acceptanceAngle.value() key = 'nmax_interaction' current[key] = self.maxInteractions.value() key = 'layer' current[key] = self.fitLayer.value() + 1 return self.__configuration def getLabelsAndValues(self): labels = self.__text i = 0 values = [] for w in self.__widgetList: values.append(w.value()) i += 1 return labels, values class XRFMCSimulationControl(qt.QGroupBox): def __init__(self, parent=None, fit=False): qt.QGroupBox.__init__(self, parent) self.setTitle("Simulation Control") self._fit = fit self.build() def build(self): self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) i = 0 if 0: label = qt.QLabel(self) label.setText("Run Number (0 for first run):") self.__runNumber = qt.QSpinBox(self) self.__runNumber.setMinimum(0) self.__runNumber.setValue(0) self.mainLayout.addWidget(label, i, 0) self.mainLayout.addWidget(self.__runNumber, i, 1) i += 1 if self._fit: label = qt.QLabel(self) label.setText("Select simulation or fit mode:") self._simulationMode = qt.QComboBox(self) self._simulationMode.setEditable(False) self._simulationMode.addItem("Simulation") self._simulationMode.addItem("Fit") self.mainLayout.addWidget(label, i, 0) self.mainLayout.addWidget(self._simulationMode, i, 1) i += 1 if 1: label = qt.QLabel(self) label.setText("Number of histories:") self.__nHistories = qt.QSpinBox(self) self.__nHistories.setMinimum(1000) self.__nHistories.setMaximum(10000000) self.__nHistories.setValue(100000) self.__nHistories.setSingleStep(50000) self.mainLayout.addWidget(label, i, 0) self.mainLayout.addWidget(self.__nHistories, i, 1) i += 1 def getParameters(self): ddict = {} if 0: ddict['run'] = self.__runNumber.value() ddict['histories'] = self.__nHistories.value() return ddict def setParameters(self, ddict0): if 'xrfmc' in ddict0: ddict = ddict0['xrfmc']['setup'] else: ddict= ddict0 if 'histories' in ddict: self.__nHistories.setValue(int(ddict['histories'])) def getSimulationMode(self): current = self._simulationMode.currentIndex() if current: mode = "Fit" else: mode = "Simulation" return mode def setSimulationMode(self, mode=""): current = 0 if hasattr(mode, "lower"): if mode.lower() == "fit": current = 1 self._simulationMode.setCurrentIndex(current) class XRFMCTabWidget(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.setWindowTitle("XRFMC Tab Widget") self.build() def build(self): self.mainLayout = qt.QVBoxLayout(self) self.programWidget = XRFMCProgramFile(self) self.parametersWidget = XRFMCParameters(self) self.simulationWidget = XRFMCSimulationControl(self, fit=False) self.mainLayout.addWidget(self.programWidget) self.mainLayout.addWidget(self.parametersWidget) self.mainLayout.addWidget(self.simulationWidget) self.mainLayout.addWidget(VerticalSpacer(self)) def getParameters(self): ddict = self.parametersWidget.getParameters() program = self.programWidget.getFileList() control = self.simulationWidget.getParameters() ddict['xrfmc']['setup']['histories'] = control['histories'] if len(program) > 0: ddict['xrfmc']['program'] = program[0] else: ddict['xrfmc']['program'] = None return ddict def setParameters(self, ddict): self.parametersWidget.setParameters(ddict) if ddict['xrfmc']['program'] not in ["None", None, ""]: self.programWidget.setFileList([ddict['xrfmc']['program']]) self.simulationWidget.setParameters(ddict) class XRFMCActions(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QHBoxLayout(self) self.startButton = qt.QPushButton(self) self.startButton.setText("Start") self.startButton.setAutoDefault(False) self.dismissButton = qt.QPushButton(self) self.dismissButton.setText("Dismiss") self.dismissButton.setAutoDefault(False) self.mainLayout.addWidget(self.startButton) self.mainLayout.addWidget(HorizontalSpacer(self)) self.mainLayout.addWidget(self.dismissButton) class XRFMCPyMca(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.setWindowTitle("XMIMSIM-PyMca") self.fitConfiguration = None self.logWidget = None #self._loggedProcess = None self.build() self.buildConnections() def build(self): self.mainLayout = qt.QGridLayout(self) self.programWidget = XRFMCProgramFile(self) self.fitFileWidget = PyMcaFitFileList(self) #self.iniFileWidget = XRFMCIniFile(self) self.outputDirWidget = XRFMCOutputDir(self) self.parametersWidget = XRFMCParameters(self) self.simulationWidget = XRFMCSimulationControl(self, fit=True) self.actions = XRFMCActions(self) self.logWidget = SubprocessLogWidget.SubprocessLogWidget() self.logWidget.setMinimumWidth(400) i = 0 self.mainLayout.addWidget(self.programWidget, i, 0) i += 1 self.mainLayout.addWidget(self.fitFileWidget, i, 0) i += 1 #self.mainLayout.addWidget(self.iniFileWidget, i, 0) #i += 1 self.mainLayout.addWidget(self.outputDirWidget, i, 0) i += 1 self.mainLayout.addWidget(self.parametersWidget, i, 0) i += 1 self.mainLayout.addWidget(self.simulationWidget, i, 0) i += 1 self.mainLayout.addWidget(self.actions, i, 0) i += 1 self.mainLayout.addWidget(VerticalSpacer(self), i,0) i += 1 self.mainLayout.addWidget(self.logWidget, 0, 1, i, 1) i += 1 def buildConnections(self): self.fitFileWidget.sigFileListUpdated.connect(self.fitFileChanged) self.actions.startButton.clicked.connect(self.start) self.actions.dismissButton.clicked.connect(self.close) self.logWidget.sigSubprocessLogWidgetSignal.connect(\ self.subprocessSlot) def closeEvent(self, event): if self._closeDialog(): event.accept() else: event.ignore() def _closeDialog(self): if self.logWidget is None: close = True elif self.logWidget.isSubprocessRunning(): msg = qt.QMessageBox(self) msg.setWindowTitle("Simulation going on") msg.setIcon(qt.QMessageBox.Information) msg.setText("Do you want to stop on-going simulation?") msg.setStandardButtons(qt.QMessageBox.Yes|qt.QMessageBox.No) answer=msg.exec_() if answer == qt.QMessageBox.Yes: self.logWidget.stop() close = True else: print("NOT KILLING") close = False else: close = True return close def errorMessage(self, text, title='ERROR'): qt.QMessageBox.critical(self, title, text) def fitFileChanged(self, ddict): #for the time being only one ... fitfile= ddict['filelist'][0] self.fitConfiguration = ConfigDict.ConfigDict() self.fitConfiguration.read(fitfile) if 'result' in self.fitConfiguration: matrix = self.fitConfiguration['result']\ ['config']['attenuators'].get('Matrix', None) else: matrix = self.fitConfiguration\ ['attenuators'].get('Matrix', None) if matrix is None: text = 'Undefined sample matrix in file %s' % fitfile title = "Invalid Matrix" self.errorMessage(text, title) return if matrix[0] != 1: text = 'Undefined sample matrix in file %s' % fitfile title = "Matrix not considered in fit" self.errorMessage(text, title) return if matrix[1] == '-': text = 'Invalid sample Composition "%s"' % matrix[1] title = "Invalid Sample" self.errorMessage(text, title) return if 'xrfmc' in self.fitConfiguration: if 'setup' in self.fitConfiguration['xrfmc']: self.parametersWidget.setParameters(self.fitConfiguration) if matrix[1] != "MULTILAYER": self.parametersWidget.setParameters({'layer':1}) self.parametersWidget.fitLayer.setMaximum(0) def configurationFileChanged(self, ddict): configFile= ddict['filelist'][0] configuration = ConfigDict.ConfigDict() configuration.read(configFile) if not ('setup' in configuration['xrfmc']): title = "Invalid file" text = "Invalid configuration file." self.errorMessage(text, title) else: self.parametersWidget.setParameters(configuration['xrfmc']['setup']) def errorMessage(self, text, title=None): msg = qt.QMessageBox(self) if title is not None: msg.setWindowTitle(title) msg.setIcon(qt.QMessageBox.Critical) msg.setText(text) msg.exec_() def start(self): try: self._start() except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Plugin error") msg.setText("An error has occured while executing the plugin:") msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() def _start(self): """ """ if self.logWidget is not None: if self.logWidget.isSubprocessRunning(): text = "A simulation is already started\n" self.errorMessage(text) return pymcaFitFile = self.fitFileWidget.getFileList() if len(pymcaFitFile) < 1: text = "PyMca .fit or .cfg file is mandatory\n" self.errorMessage(text) return pymcaFitFile = pymcaFitFile[0] program = self.programWidget.getFileList() if len(program) < 1: text = "Simulation program file is mandatory\n" self.errorMessage(text) return program = program[0] #This one would only be needed for backup purposes #self.iniFileWidget.getFileList() #The output directory outputDir = self.outputDirWidget.getFileList() if len(outputDir) < 1: text = "Output directory is mandatory\n" self.errorMessage(text) return #the actual parameters to be used ddict = self.parametersWidget.getParameters() #the output directory ddict['xrfmc']['setup']['output_dir'] = outputDir[0] self.__outputDir = outputDir[0] #the simulation parameters simPar = self.simulationWidget.getParameters() ddict['xrfmc']['setup']['histories'] = simPar['histories'] #write a file containing both, PyMca and XRFMC configuration in output dir if pymcaFitFile.lower().endswith(".cfg"): # not a fit result but a configuration file # but this does not work newFile=ConfigDict.ConfigDict() newFile.read(pymcaFitFile) #perform a dummy fit till xmimsim-pymca is upgraded if 0: import numpy from PyMca import ClassMcaTheory newFile['fit']['linearfitflag']=1 newFile['fit']['stripflag']=0 newFile['fit']['stripiterations']=0 xmin = newFile['fit']['xmin'] xmax = newFile['fit']['xmax'] #xdata = numpy.arange(xmin, xmax + 1) * 1.0 xdata = numpy.arange(0, xmax + 1) * 1.0 ydata = 0.0 + 0.1 * xdata mcaFit = ClassMcaTheory.McaTheory() mcaFit.configure(newFile) mcaFit.setData(x=xdata, y=ydata, xmin=xmin, xmax=xmax) mcaFit.estimate() fitresult,result = mcaFit.startfit(digest=1) newFile = None nfile=ConfigDict.ConfigDict() nfile['result'] = result #nfile.write("tmpFitFileFromConfig.fit") else: nfile = ConfigDict.ConfigDict() nfile.read(pymcaFitFile) nfile.update(ddict) newFile = os.path.join(outputDir[0],\ os.path.basename(pymcaFitFile[:-4] + ".fit")) else: nfile = ConfigDict.ConfigDict() nfile.read(pymcaFitFile) nfile.update(ddict) newFile = os.path.join(outputDir[0],\ os.path.basename(pymcaFitFile)) if os.path.exists(newFile): os.remove(newFile) nfile.write(newFile) nfile = None fileNamesDict = XRFMCHelper.getOutputFileNames(newFile, outputDir=outputDir[0]) if newFile != fileNamesDict['fit']: raise ValueError("Inconsistent internal behaviour!") scriptName = fileNamesDict['script'] scriptFile = XRFMCHelper.getScriptFile(program, name=scriptName) csvName = fileNamesDict['csv'] speName = fileNamesDict['spe'] xmsoName = fileNamesDict['xmso'] # basic parameters args = [scriptFile, #"--enable-single-run", "--verbose", "--spe-file=%s" % speName, "--csv-file=%s" % csvName, #"--enable-roi-normalization", #"--disable-roi-normalization", #default #"--enable-pile-up" #"--disable-pile-up" #default #"--enable-poisson", #"--disable-poisson", #default no noise #"--set-threads=2", #overwrite default maximum newFile, xmsoName] self.__fileNamesDict = fileNamesDict # additionalParameters if self.simulationWidget.getSimulationMode().lower() == "fit": simulationParameters = [] else: simulationParameters = ["--enable-single-run", "--set-threads=2"] i = 0 for parameter in simulationParameters: i += 1 args.insert(1, parameter) # show the command on the log widget text = "%s" % scriptFile for arg in args[1:]: text += " %s" % arg self.logWidget.clear() self.logWidget.append(text) self.logWidget.start(args=args) def subprocessSlot(self, ddict): if ddict['event'] == "ProcessStarted": # we do not need a direct handle to the process #self._loggedProcess = ddict['subprocess'] return if ddict['event'] == "ProcessFinished": returnCode = ddict['code'] msg = qt.QMessageBox(self) msg.setWindowTitle("Simulation finished") if returnCode == 0: msg.setIcon(qt.QMessageBox.Information) text = "Simulation finished, output written to the directory:\n" text += "%s" % self.__outputDir else: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) text = "Simulation finished with error code %d\n" % (returnCode) for line in ddict['message']: text += line msg.setText(text) msg.exec_() xmsoName = self.__fileNamesDict['xmso'] if __name__ == "__main__": app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) w = XRFMCPyMca() w.show() app.exec_() ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/PeakIdentifier.py������������������������������������������0000644�0002763�0000175�00000025264�13173367502�023235� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaPhysics import Elements from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict QTVERSION = qt.qVersion() DEBUG = 0 class PeakIdentifier(qt.QWidget): sigPeakIdentifierSignal = qt.pyqtSignal(object) def __init__(self,parent=None,energy=None,threshold=None,useviewer=None, name="Peak Identifier"): qt.QWidget.__init__(self, parent) self.setWindowTitle(name) self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) if energy is None: energy = 5.9 if threshold is None: threshold = 0.030 if useviewer is None: useviewer = 0 self.__useviewer = useviewer layout = qt.QVBoxLayout(self) #heading self.__energyHBox=qt.QWidget(self) hbox = self.__energyHBox hbox.layout = qt.QHBoxLayout(hbox) hbox.layout.setContentsMargins(0, 0, 0, 0) hbox.layout.setSpacing(0) layout.addWidget(hbox) hbox.layout.addWidget(qt.HorizontalSpacer(hbox)) l1=qt.QLabel(hbox) l1.setText('<b><nobr>Energy (keV)</nobr></b>') hbox.layout.addWidget(l1) self.energy=MyQLineEdit(hbox) self.energy.setText("%.3f" % energy) self.energy._validator = qt.QDoubleValidator(self.energy) self.energy.setValidator(self.energy._validator) self.energy.setToolTip('Press enter to validate your energy') hbox.layout.addWidget(self.energy) hbox.layout.addWidget(qt.HorizontalSpacer(hbox)) self.energy.editingFinished.connect(self._energySlot) #parameters self.__hbox2 = qt.QWidget(self) hbox2 = self.__hbox2 layout.addWidget(hbox2) hbox2.layout = qt.QHBoxLayout(hbox2) hbox2.layout.setContentsMargins(0, 0, 0, 0) hbox2.layout.setSpacing(0) font=hbox2.font() font.setBold(1) hbox2.setFont(font) l2=qt.QLabel(hbox2) l2.setText('Energy Threshold (eV)') self.threshold=qt.QSpinBox(hbox2) self.threshold.setMinimum(0) self.threshold.setMaximum(1000) self.threshold.setValue(int(threshold*1000)) self.k = qt.QCheckBox(hbox2) self.k.setText('K') self.k.setChecked(1) self.l1 = qt.QCheckBox(hbox2) self.l1.setText('L1') self.l1.setChecked(1) self.l2 = qt.QCheckBox(hbox2) self.l2.setText('L2') self.l2.setChecked(1) self.l3 = qt.QCheckBox(hbox2) self.l3.setText('L3') self.l3.setChecked(1) self.m = qt.QCheckBox(hbox2) self.m.setText('M') self.m.setChecked(1) self.threshold.valueChanged[int].connect(self._thresholdSlot) self.k.clicked.connect(self.mySlot) self.l1.clicked.connect(self.mySlot) self.l2.clicked.connect(self.mySlot) self.l3.clicked.connect(self.mySlot) self.m.clicked.connect(self.mySlot) hbox2.layout.addWidget(l2) hbox2.layout.addWidget(self.threshold) hbox2.layout.addWidget(self.k) hbox2.layout.addWidget(self.l1) hbox2.layout.addWidget(self.l2) hbox2.layout.addWidget(self.l3) hbox2.layout.addWidget(self.m) if self.__useviewer: self.__browsertext = qt.QTextEdit(self) layout.addWidget(self.__browsertext) self.setEnergy(energy) def setEnergy(self, energy = None): if energy is None: energy = 5.9 if type(energy) == type(""): self.energy.setText("%s" % energy) self._energySlot() else: self.energy.setText("%.3f" % energy) self.mySlot(energy=energy) def _energySlot(self): qstring = self.energy.text() try: value = float(qt.safe_str(qstring)) self.energyvalue = value self.mySlot() self.energy.setPaletteBackgroundColor(qt.Qt.white) cursor = self.__browsertext.textCursor() cursor.movePosition(qt.QTextCursor.Start) self.__browsertext.setTextCursor(cursor) self.threshold.setFocus() except: msg=qt.QMessageBox(self.energy) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") msg.setWindowTitle("Invalid entry") msg.exec_() self.energy.setFocus() return def myslot(self): print("PeakIdentifier.py myslot deprecated, use mySlot") return self.mySlot() def _thresholdSlot(self, value): self.mySlot() def mySlot(self, energy=None): if energy is None: try: energy = float(qt.safe_str(self.energy.text())) except ValueError: msg=qt.QMessageBox(self.energy) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Energy Value") msg.setWindowTitle("Invalid energy") msg.exec_() self.energy.setFocus() return threshold = float(self.threshold.value())/1000. lines=[] if self.k.isChecked(): lines.append('K') if self.l1.isChecked(): lines.append('L1') if self.l2.isChecked(): lines.append('L2') if self.l3.isChecked(): lines.append('L3') if self.m.isChecked(): lines.append('M') ddict=Elements.getcandidates(energy,threshold,lines)[0] ddict['text'] =self.getHtmlText(ddict) ddict['event']='Candidates' ddict['lines']=lines if self.__useviewer: self.__browsertext.clear() #self.__browsertext.insertHtml("<CENTER>"+dict['text']+\ # "</CENTER>") self.__browsertext.insertHtml(ddict['text']) self.sigPeakIdentifierSignal.emit(ddict) def getHtmlText(self, ddict): text = "" if QTVERSION < '4.0.0': text += "<br>" labels=['Element','Line','Energy','Rate'] lemmon=("#%x%x%x" % (255,250,205)) lemmon = lemmon.upper() hcolor = ("#%x%x%x" % (230,240,249)) hcolor = hcolor.upper() text+="<CENTER>" text+=("<nobr>") text+=( "<table WIDTH=80%%>") text+=( "<tr>") for l in labels: text+=('<td align="left" bgcolor="%s"><b>' % hcolor) text+=l text+=("</b></td>") text+=("</tr>") for ele in ddict['elements']: oldline="" for line in ddict[ele]: if line[0][0:1] == 'K': group0 = 'K rays' elif line[0][0:2] == 'L1': group0 = 'L1 rays' elif line[0][0:2] == 'L2': group0 = 'L2 rays' elif line[0][0:2] == 'L3': group0 = 'L3 rays' elif line[0][0:1] == 'M': group0 = 'M rays' else: group0 = 'Unknown' if group0 != oldline: text +="<tr>" text += '<td align="left"><b>%s</b></td>' % ele text += '<td align="left"><b>%s</b></td>' % group0 text += '</tr>' oldline = group0 #for peak in result[group]['peaks']: text += '<tr><td></td>' name = line[0] energy = ("%.3f" % line[1]) ratio = ("%.5f" % line[2]) fields = [name,energy,ratio] for field in fields: if field == name: text+=('<td align="left" bgcolor="%s">%s</td>' % (lemmon,field)) else: text+=('<td align="right" bgcolor="%s">%s</td>' % (lemmon,field)) text+="</tr>" text+=("</table>") text+=("</nobr>") text+="</CENTER>" return text class MyQLineEdit(qt.QLineEdit): def __init__(self,parent=None,name=None): qt.QLineEdit.__init__(self,parent) self.setAutoFillBackground(True) def setPaletteBackgroundColor(self, color): palette = qt.QPalette() role = self.backgroundRole() palette.setColor(role,color) self.setPalette(palette) def focusInEvent(self,event): self.setPaletteBackgroundColor(qt.QColor('yellow')) # TODO not like focusOutEvent ? ''' if QTVERSION > '4.0.0': qt.QLineEdit.focusInEvent(self, event) ''' def focusOutEvent(self,event): self.setPaletteBackgroundColor(qt.QColor('white')) qt.QLineEdit.focusOutEvent(self, event) def main(): app = qt.QApplication(sys.argv) winpalette = qt.QPalette(qt.QColor(230,240,249),qt.QColor(238,234,238)) app.setPalette(winpalette) if len(sys.argv) > 1: ene = float(sys.argv[1]) else: ene = 5.9 mw = qt.QWidget() l = qt.QVBoxLayout(mw) l.setSpacing(0) w= PeakIdentifier(mw,energy=ene,useviewer=1) l.addWidget(w) mw.setWindowTitle("Peak Identifier") mw.show() app.exec_() if __name__ == "__main__": main() ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/PeakTableWidget.py�����������������������������������������0000644�0002763�0000175�00000055673�13136054446�023354� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, "QStringList"): QStringList = qt.QStringList else: def QStringList(): return [] if hasattr(qt, "QString"): QString = qt.QString else: QString = str from PyMca5.PyMcaPhysics import Elements DEBUG=0 QTable = qt.QTableWidget class QComboTableItem(qt.QComboBox): sigCellChanged = qt.pyqtSignal(int,int) def __init__(self, parent=None, row = None, col = None): self._row = row self._col = col qt.QComboBox.__init__(self,parent) self.activated[int].connect(self._cellChanged) def _cellChanged(self, idx): if DEBUG: print("cell changed",idx) self.sigCellChanged.emit(self._row, self._col) class QCheckBoxItem(qt.QCheckBox): sigCellChanged = qt.pyqtSignal(int, int) def __init__(self, parent=None, row = None, col = None): self._row = row self._col = col qt.QCheckBox.__init__(self,parent) self.clicked.connect(self._cellChanged) def _cellChanged(self): self.sigCellChanged.emit(self._row, self._col) class PeakTableWidget(QTable): sigPeakTableWidgetSignal = qt.pyqtSignal(object) def __init__(self, *args,**kw): QTable.__init__(self, *args) self.setRowCount(0) self.labels=['Peak','Channel','Element','Line', 'Energy','Use','Calc. Energy'] self.setColumnCount(len(self.labels)) if 'labels' in kw: self.labels = kw['labels'] for i in range(len(self.labels)): item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(self.labels[i], qt.QTableWidgetItem.Type) item.setText(self.labels[i]) self.setHorizontalHeaderItem(i,item) self.peaks={} self.peaklist=[] if 'peaklist' in kw: self.peaklist = kw['peaklist'] self.build() self.cellChanged[int,int].connect(self.myslot) rheight = self.horizontalHeader().sizeHint().height() for idx in range(self.rowCount()): self.setRowHeight(idx, rheight) def build(self): line = 1 oldlist=list(self.peaklist) self.peaklist=[] for peak in oldlist: self.newpeakline(peak,line) line=line+1 self.resizeColumnToContents(0) #self.resizeColumnToContents(1) #self.resizeColumnToContents(2) self.resizeColumnToContents(5) def clearPeaks(self): self.peaks = {} self.peaklist = [] self.setRowCount(0) def newpeakline(self,peak,line): #get current number of lines nlines=self.rowCount() #if the number of lines is smaller than line resize table if (line > nlines): self.setRowCount(line) linew=line-1 self.peaks[peak]={ 'line':linew, 'fields':['number', 'channel', 'element', 'elementline', 'setenergy', 'use', 'calenergy'], 'number': QString('1'), 'channel': QString('0'), 'element': QString('-'), 'elementline':QString('-'), 'setenergy': QString('0'), 'use': 0, 'calenergy': QString()} self.peaklist.append(peak) self.setReadWrite(peak,'setenergy') self.setReadWrite(peak,'channel') self.setReadOnly (peak,['number','line','calenergy']) col = self.peaks[peak]['fields'].index('element') self.peaks[peak]['element_item']=QPeriodicComboTableItem(self, row = linew, col= col) self.setCellWidget(linew, col, self.peaks[peak]['element_item']) self.peaks[peak]['element_item'].sigCellChanged[int,int].connect( \ self.myslot) a = QStringList() a.append('-') col = self.peaks[peak]['fields'].index('elementline') self.peaks[peak]['elementline_item']= QComboTableItem(self, row = linew, col = col) self.peaks[peak]['elementline_item'].addItems(a) self.setCellWidget(linew, col, self.peaks[peak]['elementline_item']) self.peaks[peak]['elementline_item'].sigCellChanged[int,int].connect( \ self.myslot) col = self.peaks[peak]['fields'].index('use') self.peaks[peak]['use_item'] = QCheckBoxItem(self, row = linew, col = col) self.peaks[peak]['use_item'].setText("") self.setCellWidget(linew, col, self.peaks[peak]['use_item']) self.peaks[peak]['use_item'].sigCellChanged[int,int].connect( \ self.myslot) self.peaks[peak]['use_item'].setChecked(self.peaks[peak]['use']) def myslot(self, row, col): if DEBUG: print("Passing by myslot", self.peaks[self.peaklist[row]]['fields'][col]) peak=self.peaklist[row] field=self.peaks[peak]['fields'][col] if (field == "element") or (field == "elementline"): key = field+"_item" newvalue=self.peaks[peak][key].currentText() elif field == "use": pass else: newvalue = self.item(row, col).text() if field == "element": if str(newvalue) == '-': #no element #set line to - options = QStringList() options.append('-') self.peaks[peak]["elementline_item"].insertItems(0, options) self.peaks[peak]["elementline_item"].setCurrentIndex(0) else: #get the emission energies ele = str(newvalue).split()[0] options = QStringList() energies = QStringList() options.append('-') energies.append('0.000') emax = 0.0 for rays in Elements.Element[ele]['rays']: for transition in Elements.Element[ele][rays]: options.append("%s (%.5f)" % (transition, Elements.Element[ele][transition]['rate'])) energies.append("%.5f " % (Elements.Element[ele][transition]['energy'])) emax = max(emax,Elements.Element[ele][transition]['rate']) energies[0] = "%.5f " % emax #lineitem=qttable.QComboTableItem(self,options) self.peaks[peak]["elementline_item"].insertItems(0, options) self.peaks[peak]["elementline_item"].setCurrentIndex(0) #self.setItem(row, # col+1, # lineitem) self.peaks[peak][field] = newvalue if field == "elementline": if str(newvalue) == '-': #no element #set energy to rw self.setReadWrite(peak,'setenergy') else: #get the element energy #newvalue=QString(self.text(row,col-1)) elevalue=self.peaks[peak]["element_item"].currentText() ele = str(elevalue).split()[0] energy = "0.0" for rays in Elements.Element[ele]['rays']: for transition in Elements.Element[ele][rays]: option = QString("%s (%.5f)" % (transition, Elements.Element[ele][transition]['rate'])) if option == newvalue: energy = "%.5f " % (Elements.Element[ele][transition]['energy']) break if energy == "0.0": print("Something is wrong") else: self.configure(name=peak,setenergy=energy) self.setReadOnly(peak,'setenergy') self.peaks[peak][field] = newvalue if field == "setenergy": oldvalue = self.peaks[peak]["setenergy"] try: value = float(str(newvalue)) except: print(field, " newvalue = ", newvalue, "taking old value", oldvalue) item = self.item(row, col) item.setText("%s" % oldvalue) value = float(str(oldvalue)) self.peaks[peak][field] = value ddict={} ddict['event'] = 'use' self.sigPeakTableWidgetSignal.emit(ddict) if field == "channel": oldvalue = self.peaks[peak]["channel"] try: value = float(str(newvalue)) except: print(field, " newvalue = ", newvalue, "taking old value", oldvalue) item = self.item(row, col) item.setText("%s" % oldvalue) value = float(str(oldvalue)) self.peaks[peak][field] = value ddict={} ddict['event'] = 'use' self.sigPeakTableWidgetSignal.emit(ddict) if field == "use": if self.peaks[peak][field+"_item"].isChecked(): self.peaks[peak][field] = 1 else: self.peaks[peak][field] = 0 ddict={} ddict['event'] = 'use' self.sigPeakTableWidgetSignal.emit(ddict) def setReadOnly(self,parameter,fields): if DEBUG: print("peak ",parameter,"fields = ",fields,"asked to be read only") self.setfield(parameter, fields, qt.Qt.ItemIsSelectable|qt.Qt.ItemIsEnabled) def setReadWrite(self,parameter,fields): if DEBUG: print("peak ",parameter,"fields = ",fields,"asked to be read write") self.setfield(parameter, fields, qt.Qt.ItemIsEditable|qt.Qt.ItemIsSelectable|qt.Qt.ItemIsEnabled) def setfield(self,peak,fields,EditType): if DEBUG: print("setfield. peak =",peak,"fields = ",fields) if type(peak) == type (()) or \ type(peak) == type ([]): peaklist=peak else: peaklist=[peak] if type(fields) == type (()) or \ type(fields) == type ([]): fieldlist=fields else: fieldlist=[fields] for peak in peaklist: if peak in self.peaklist: try: row=self.peaklist.index(peak) except ValueError: row=-1 if row >= 0: for field in fieldlist: if field in self.peaks[peak]['fields']: col=self.peaks[peak]['fields'].index(field) if (field != 'element') and (field != 'elementline'): key=field+"_item" item = self.item(row, col) text = "%s" % self.peaks[peak][field] if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(row, col, item) else: item.setText(str(text)) item.setFlags(EditType) def configure(self,*vars,**kw): if DEBUG: print("configure called with **kw = ",kw) print("configure called with *vars = ",vars) name=None error=0 if 'name' in kw: name=kw['name'] elif 'number' in kw: name=kw['number'] else: return 1 keylist = [] if "channel" in kw: keylist=["channel"] for key in kw.keys(): if key != "setenergy": if key not in keylist: keylist.append(key) if "setenergy" in kw.keys(): keylist.append("setenergy") if name in self.peaks: row=self.peaks[name]['line'] for key in keylist: if key is not 'name': if key in self.peaks[name]['fields']: col=self.peaks[name]['fields'].index(key) oldvalue=self.peaks[name][key] if key is 'code': newvalue = QString(str(kw[key])) elif key is 'element': newvalue = str(kw[key]).split()[0] if newvalue == "-": self.peaks[name][key+"_item"].setCurrentIndex(0) else: self.peaks[name][key+"_item"].setSelection(newvalue) try: self.myslot(row,col) except: print("Error setting element") elif key is 'elementline': try: iv = self.peaks[name][key+"_item"].findText(QString(kw[key])) self.peaks[name][key+"_item"].setCurrentIndex(iv) except: print("Error setting elementline") elif key is 'use': if kw[key]: self.peaks[name][key] = 1 else: self.peaks[name][key] = 0 self.peaks[name][key+"_item"].setChecked(self.peaks[name][key]) elif key == 'number': if len(str(kw[key])): newvalue=float(str(kw[key])) newvalue= QString("%3d" % newvalue) self.peaks[name][key]=newvalue else: self.peaks[name][key]=oldvalue text = self.peaks[name][key] item = self.item(row, col) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(row, col, item) else: item.setText(text) elif key == 'channel': if DEBUG: print("setting channel in configure") if len(str(kw[key])): newvalue=float(str(kw[key])) newvalue= QString("%.3f" % newvalue) self.peaks[name][key]=newvalue else: self.peaks[name][key]=oldvalue text = self.peaks[name][key] item = self.item(row, col) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(row, col, item) else: item.setText(text) elif (key == 'setenergy') or (key == 'calenergy'): if len(str(kw[key])): newvalue=float(str(kw[key])) newvalue= QString("%.4f" % newvalue) self.peaks[name][key]=newvalue else: self.peaks[name][key]=oldvalue text = self.peaks[name][key] item = self.item(row, col) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(row, col, item) else: item.setText(text) #self.myslot(row,col) else: if len(str(kw[key])): newvalue=float(str(kw[key])) if key is 'sigma': newvalue= "%6.3g" % newvalue else: newvalue= "%8g" % newvalue else: newvalue="" newvalue=QString(newvalue) return error def validate(self,name,key,oldvalue,newvalue): if (key == 'setenergy') or (key == 'number') or (key == 'calcenergy'): try: float(str(newvalue)) except: return 0 return 1 def getdict(self, *var): print("PeakTableWidget.getdict deprecated. Use getDict") return self.getDict(*var) def getDict(self,*var): ddict={} if len(var) == 0: #asked for the dict of dicts for peak in self.peaks.keys(): ddict[peak] = {} ddict[peak]['number'] = float(str(self.peaks[peak]['number'])) ddict[peak]['channel'] = float(str(self.peaks[peak]['channel'])) ddict[peak]['element'] = str(self.peaks[peak]['element']) ddict[peak]['elementline'] = str(self.peaks[peak]['elementline']) ddict[peak]['setenergy'] = float(str(self.peaks[peak]['setenergy'])) ddict[peak]['use'] = self.peaks[peak]['use'] if len(str(self.peaks[peak]['calenergy'])): ddict[peak]['calenergy'] = float(str(self.peaks[peak]['calenergy'])) else: ddict[peak]['calenergy'] = "" else: peak=var[0] if peak in self.peaks.keys(): ddict['number'] = float(str(self.peaks[peak]['number'])) ddict['channel'] = float(str(self.peaks[peak]['channel'])) ddict['element'] = str(self.peaks[peak]['element']) ddict['elementline'] = str(self.peaks[peak]['elementline']) ddict['setenergy'] = float(str(self.peaks[peak]['setenergy'])) ddict['use'] = self.peaks[peak]['use'] if len(str(self.peaks[peak]['calenergy'])): ddict['calenergy'] = float(str(self.peaks[peak]['calenergy'])) else: ddict['calenergy'] = "" return ddict class QPeriodicComboTableItem(QComboTableItem): """ Periodic Table Combo List to be used in a QTable Init options: table (mandatory)= parent QTable addnone= 1 (default) add "-" in the list to provide possibility to select no specific element. 0 only element list. detailed= 1 (default) display element symbol, Z and name 0 display only element symbol and Z Public methods: setSelection(eltsymbol): Set the element selected given its symbol getSelection(): Return symbol of element selected Signals: sigValueChanged(int,int) """ sigValueChanged = qt.pyqtSignal(int, int) def __init__(self, table=None, addnone=1, detailed=0, row=None, col=None): strlist = QStringList() self.addnone= (addnone==1) if self.addnone: strlist.append("-") for (symbol, Z, x, y, name, mass, density) in Elements.ElementsInfo: if detailed: txt= "%2s (%d) - %s"%(symbol, Z, name) else: txt= "%2s (%d)"%(symbol, Z) strlist.append(txt) if row is None: row = 0 if col is None: col = 0 self._row = row self._col = col qt.QComboBox.__init__(self) self.addItems(strlist) self.activated[int].connect(self._cellChanged) def _cellChanged(self, idx): self.sigCellChanged.emit(self._row, self._col) def setSelection(self, symbol=None): if symbol is None: if self.addnone: self.setCurrentIndex(0) else: idx= self.addnone+Elements.getz(symbol)-1 self.setCurrentIndex(idx) def getSelection(self): idx = self.currentIndex() if self.addnone and not idx: return None else: return Elements.ElementList[idx - self.addnone] def main(args): app=qt.QApplication(args) win=qt.QMainWindow() #tab = Parameters(labels=['Parameter','Estimation','Fit Value','Sigma', # 'Restrains','Min/Parame','Max/Factor/Delta/'], # paramlist=['Height','Position','FWHM']) tab = PeakTableWidget(labels= ['Peak','Channel','Element','Line','Set Energy','Use', 'Cal. Energy'], peaklist=['1']) tab.showGrid() tab.configure(name='1',number=24,channel='1234',use=1, setenergy=12.5,calenergy=24.0) tab.show() app.exec_() if __name__=="__main__": main(sys.argv) ���������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/FastXRFLinearFitWindow.py����������������������������������0000644�0002763�0000175�00000021752�13136054446�024612� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import numpy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from PyMca5.PyMcaGui import PyMcaFileDialogs DEBUG = 0 class FastXRFLinearFitWindow(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.setWindowTitle("FastXRFLinearFitWindow") self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) # configuration file configLabel = qt.QLabel(self) configLabel.setText("Fit Configuration File:") self._configLine = qt.QLineEdit(self) self._configLine.setReadOnly(True) self._configButton = qt.QPushButton(self) self._configButton.setText("Browse") self._configButton.setAutoDefault(False) self._configButton.clicked.connect(self.browseConfigurationFile) # output directory outLabel = qt.QLabel(self) outLabel.setText("Output dir:") self._outLine = qt.QLineEdit(self) self._outLine.setReadOnly(True) self._outButton = qt.QPushButton(self) self._outButton.setText('Browse') self._outButton.setAutoDefault(False) self._outButton.clicked.connect(self.browseOutputDir) # output file name fileLabel = qt.QLabel(self) fileLabel.setText("Output file root:") self._fileLine = qt.QLineEdit(self) self._fileLine.setReadOnly(False) self._fileLine.setText("images") boxLabel = qt.QLabel(self) boxLabel.setText("Misc. flags:") self._boxContainer = qt.QWidget(self) self._boxContainerLayout = qt.QHBoxLayout(self._boxContainer) self._boxContainerLayout.setContentsMargins(0, 0, 0, 0) self._boxContainerLayout.setSpacing(0) # concentrations self._concentrationsBox = qt.QCheckBox(self._boxContainer) self._concentrationsBox.setText("calculate concentrations") self._concentrationsBox.setChecked(False) self._concentrationsBox.setEnabled(True) # repeat fit on negative contributions self._fitAgainBox = qt.QCheckBox(self._boxContainer) self._fitAgainBox.setText("Repeat fit on negative contributions") self._fitAgainBox.setChecked(True) self._fitAgainBox.setEnabled(True) text = "Fit of pixels with negative peak area\n" text += "contributions will be repeated.\n" text += "This can seriously slow down the process\n" text += "if your sample model is far from the truth." self._fitAgainBox.setToolTip(text) # generate tiff files self._tiffBox = qt.QCheckBox(self._boxContainer) self._tiffBox.setText("generate TIFF files") self._tiffBox.setChecked(False) self._tiffBox.setEnabled(True) self._boxContainerLayout.addWidget(self._concentrationsBox) self._boxContainerLayout.addWidget(self._fitAgainBox) self._boxContainerLayout.addWidget(self._tiffBox) # weight method self._weightWidget = qt.QWidget(self) self._weightWidget.mainLayout = qt.QHBoxLayout(self._weightWidget) self._weightWidget.mainLayout.setContentsMargins(0, 0, 0, 0) self._weightWidget.mainLayout.setSpacing(0) self._weightButtonGroup = qt.QButtonGroup(self._weightWidget) i = 0 weightLabel = qt.QLabel(self) weightLabel.setText("Weight policy: ") for txt in ["No Weight (Fastest)", "Average Weight (Fast)", "Individual Weights (slow)"]: button = qt.QRadioButton(self._weightWidget) button.setText(txt) self._weightButtonGroup.addButton(button) self._weightButtonGroup.setId(button, i) self._weightWidget.mainLayout.addWidget(button) i += 1 self._weightButtonGroup.buttons()[0].setChecked(True) #self._weightWidget.mainLayout.addWidget(qt.HorizontalSpacer(self._weightWidget)) self.mainLayout.addWidget(configLabel, 0, 0) self.mainLayout.addWidget(self._configLine, 0, 1) self.mainLayout.addWidget(self._configButton, 0, 2) self.mainLayout.addWidget(outLabel, 1, 0) self.mainLayout.addWidget(self._outLine, 1, 1) self.mainLayout.addWidget(self._outButton, 1, 2) self.mainLayout.addWidget(fileLabel, 2, 0) self.mainLayout.addWidget(self._fileLine, 2, 1) self.mainLayout.addWidget(weightLabel, 3, 0) self.mainLayout.addWidget(self._weightWidget, 3, 1, 1, 1) self.mainLayout.addWidget(boxLabel, 4, 0) self.mainLayout.addWidget(self._boxContainer, 4, 1, 1, 1) def sizeHint(self): return qt.QSize(int(1.8 * qt.QWidget.sizeHint(self).width()), qt.QWidget.sizeHint(self).height()) def browseConfigurationFile(self): f = PyMcaFileDialogs.getFileList(parent=self, filetypelist=["Configuration files (*.cfg)"], message="Open a fit configuration file", mode="OPEN", single=True) if len(f): self._configLine.setText(f[0]) def browseOutputDir(self): f = PyMcaFileDialogs.getExistingDirectory(parent=self, message="Please select output directory", mode="OPEN") if len(f): self._outLine.setText(f) def getParameters(self): ddict = {} ddict['configuration'] = qt.safe_str(self._configLine.text()) ddict['output_dir'] = qt.safe_str(self._outLine.text()) ddict['file_root'] = qt.safe_str(self._fileLine.text()) if self._concentrationsBox.isChecked(): ddict['concentrations'] = 1 else: ddict['concentrations'] = 0 ddict['weight_policy'] = self._weightButtonGroup.checkedId() if self._fitAgainBox.isChecked(): ddict['refit'] = 1 else: ddict['refit'] = 0 if self._tiffBox.isChecked(): ddict['tiff'] = 1 else: ddict['tiff'] = 0 return ddict class FastXRFLinearFitDialog(qt.QDialog): def __init__(self, parent=None): qt.QDialog.__init__(self, parent) self.setWindowTitle("Fast XRF Linear Fit Dialog") self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(10, 10, 10, 10) self.parametersWidget = FastXRFLinearFitWindow(self) self.rejectButton= qt.QPushButton(self) self.rejectButton.setAutoDefault(False) self.rejectButton.setText("Cancel") self.acceptButton= qt.QPushButton(self) self.acceptButton.setAutoDefault(False) self.acceptButton.setText("OK") self.rejectButton.clicked.connect(self.reject) self.acceptButton.clicked.connect(self.accept) self.mainLayout.addWidget(self.parametersWidget, 0, 0, 5, 4) self.mainLayout.addWidget(self.rejectButton, 6, 1) self.mainLayout.addWidget(self.acceptButton, 6, 2) def getParameters(self): return self.parametersWidget.getParameters() if __name__ == "__main__": app = qt.QApplication([]) w = FastXRFLinearFitDialog() ret = w.exec_() if ret: print(w.getParameters()) #app.exec_() ����������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/AttenuatorsTable.py����������������������������������������0000644�0002763�0000175�00000063152�13136054446�023630� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() qt.QLabel.AlignRight = qt.Qt.AlignRight qt.QLabel.AlignCenter = qt.Qt.AlignCenter qt.QLabel.AlignVCenter = qt.Qt.AlignVCenter class Q3GridLayout(qt.QGridLayout): def addMultiCellWidget(self, w, r0, r1, c0, c1, *var): self.addWidget(w, r0, c0, 1 + r1 - r0, 1 + c1 - c0) from PyMca5.PyMcaPhysics import Elements from . import MaterialEditor from . import MatrixEditor import re DEBUG = 0 class MyQLabel(qt.QLabel): def __init__(self, parent=None, name=None, fl=0, bold=True, color= qt.Qt.red): qt.QLabel.__init__(self, parent) palette = self.palette() role = self.foregroundRole() palette.setColor(role, color) self.setPalette(palette) self.font().setBold(bold) class AttenuatorsTab(qt.QWidget): def __init__(self, parent=None, name="Attenuators Tab", attenuators=None, graph=None): qt.QWidget.__init__(self, parent) layout = qt.QVBoxLayout(self) maxheight = qt.QDesktopWidget().height() if maxheight < 800: layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(2) self.table = AttenuatorsTableWidget(self, name, attenuators, funnyfilters=True) layout.addWidget(self.table) self.mainTab = qt.QTabWidget(self) layout.addWidget(self.mainTab) rheight = self.table.horizontalHeader().sizeHint().height() if maxheight < 801: self.editor = MaterialEditor.MaterialEditor(height=5, graph=graph) self.table.setMinimumHeight(7 * rheight) self.table.setMaximumHeight(13 * rheight) else: spacer = qt.VerticalSpacer(self) layout.addWidget(spacer) self.editor = MaterialEditor.MaterialEditor(graph=graph) self.table.setMinimumHeight(13*rheight) self.table.setMaximumHeight(13*rheight) self.mainTab.addTab(self.editor, "Material Editor") class MultilayerTab(qt.QWidget): def __init__(self,parent=None, name="Multilayer Tab", matrixlayers=None): if matrixlayers is None: matrixlayers=["Layer0", "Layer1", "Layer2", "Layer3", "Layer4", "Layer5", "Layer6", "Layer7", "Layer8", "Layer9"] qt.QWidget.__init__(self, parent) layout = qt.QVBoxLayout(self) self.matrixGeometry = MatrixEditor.MatrixEditor(self, "tabMatrix", table=False, orientation="horizontal", density=False, thickness=False, size="image2") layout.addWidget(self.matrixGeometry) text = "This matrix definition will only be " text += "considered if Matrix is selected and material is set to " text += "MULTILAYER in the ATTENUATORS tab.\n " self.matrixInfo = qt.QLabel(self) layout.addWidget(self.matrixInfo) self.matrixInfo.setText(text) self.matrixTable = AttenuatorsTableWidget(self, name, attenuators=matrixlayers, matrixmode=True) layout.addWidget(self.matrixTable) class CompoundFittingTab(qt.QWidget): def __init__(self, parent=None, name="Compound Tab", layerlist=None): qt.QWidget.__init__(self, parent) if layerlist is None: self.nlayers = 5 else: self.nlayers = len(layerlist) layout = qt.QVBoxLayout(self) hbox = qt.QWidget(self) hboxlayout = qt.QHBoxLayout(hbox) #hboxlayout.addWidget(qt.HorizontalSpacer(hbox)) self._compoundFittingLabel = MyQLabel(hbox, color=qt.Qt.red) self._compoundFittingLabel.setText("Compound Fitting Mode is OFF") self._compoundFittingLabel.setAlignment(qt.QLabel.AlignCenter) hboxlayout.addWidget(self._compoundFittingLabel) #hboxlayout.addWidget(qt.HorizontalSpacer(hbox)) layout.addWidget(hbox) grid = qt.QWidget(self) glt = Q3GridLayout(grid) glt.setContentsMargins(11, 11, 11, 11) glt.setSpacing(2) self._layerFlagWidgetList = [] options = ["FREE", "FIXED", "IGNORED"] for i in range(self.nlayers): r = int(i / 5) c = 3 * (i % 5) label = qt.QLabel(grid) label.setText("Layer%d" % i) cbox = qt.QComboBox(grid) for item in options: cbox.addItem(item) if i == 0: cbox.setCurrentIndex(0) else: cbox.setCurrentIndex(1) glt.addWidget(label, r, c) glt.addWidget(cbox, r, c + 1) glt.addWidget(qt.QWidget(grid), r, c + 2) layout.addWidget(grid) self.mainTab = qt.QTabWidget(self) layout.addWidget(self.mainTab) self._editorList = [] for i in range(self.nlayers): editor = CompoundFittingTab0(layerindex=i) self.mainTab.addTab(editor, "layer Editor") self._editorList.append(editor) class CompoundFittingTab0(qt.QWidget): def __init__(self, parent=None, name="Compound Tab", layerindex=None, compoundlist=None): if layerindex is None: layerindex = 0 if compoundlist is None: compoundlist = [] for i in range(10): compoundlist.append("Compound%d%d" % (layerindex, i)) qt.QWidget.__init__(self, parent) layout = qt.QVBoxLayout(self) grid = qt.QWidget(self) gl = Q3GridLayout(grid) gl.setContentsMargins(11, 11, 11, 11) gl.setSpacing(2) # Layer name nameLabel = qt.QLabel(grid) nameLabel.setText("Name") self.nameLine = qt.QLineEdit(grid) self.nameLine.setText("Compound fitting layer %d" % layerindex) gl.addWidget(nameLabel, 0, 0) gl.addMultiCellWidget(self.nameLine, 0, 0, 1, 5) Line = qt.QFrame(grid) Line.setFrameShape(qt.QFrame.HLine) Line.setFrameShadow(qt.QFrame.Sunken) Line.setFrameShape(qt.QFrame.HLine) gl.addMultiCellWidget(Line, 1, 1, 0, 5) #labels fixedLabel = qt.QLabel(grid) fixedLabel_font = qt.QFont(fixedLabel.font()) fixedLabel_font.setItalic(1) fixedLabel.setFont(fixedLabel_font) fixedLabel.setText(str("Fixed")) fixedLabel.setAlignment(qt.Qt.AlignVCenter) valueLabel = qt.QLabel(grid) valueLabel_font = qt.QFont(valueLabel.font()) valueLabel_font.setItalic(1) valueLabel.setFont(valueLabel_font) valueLabel.setText(str("Value")) valueLabel.setAlignment(qt.QLabel.AlignCenter) errorLabel = qt.QLabel(grid) errorLabel_font = qt.QFont(errorLabel.font()) errorLabel_font.setItalic(1) errorLabel.setFont(errorLabel_font) errorLabel.setText(str("Error")) errorLabel.setAlignment(qt.QLabel.AlignCenter) gl.addWidget(fixedLabel, 2, 2) gl.addWidget(valueLabel, 2, 3) gl.addWidget(errorLabel, 2, 5) #density densityLabel = qt.QLabel(grid) densityLabel.setText("Density") self.densityCheck = qt.QCheckBox(grid) self.densityCheck.setText(str("")) self.densityValue = qt.QLineEdit(grid) densitySepLabel = qt.QLabel(grid) densitySepLabel_font = qt.QFont(densitySepLabel.font()) densitySepLabel_font.setBold(1) densitySepLabel.setFont(densitySepLabel_font) densitySepLabel.setText(str("+/-")) self.densityError = qt.QLineEdit(grid) gl.addWidget(densityLabel, 3, 0) gl.addWidget(qt.HorizontalSpacer(grid), 3, 1) gl.addWidget(self.densityCheck, 3, 2) gl.addWidget(self.densityValue, 3, 3) gl.addWidget(densitySepLabel, 3, 4) gl.addWidget(self.densityError, 3, 5) #thickness thicknessLabel = qt.QLabel(grid) thicknessLabel.setText("Thickness") self.thicknessCheck = qt.QCheckBox(grid) self.thicknessCheck.setText(str("")) self.thicknessValue = qt.QLineEdit(grid) thicknessSepLabel = qt.QLabel(grid) thicknessSepLabel_font = qt.QFont(thicknessSepLabel.font()) thicknessSepLabel_font.setBold(1) thicknessSepLabel.setFont(thicknessSepLabel_font) thicknessSepLabel.setText(str("+/-")) self.thicknessError = qt.QLineEdit(grid) gl.addWidget(thicknessLabel, 4, 0) gl.addWidget(self.thicknessCheck, 4, 2) gl.addWidget(self.thicknessValue, 4, 3) gl.addWidget(thicknessSepLabel, 4, 4) gl.addWidget(self.thicknessError, 4, 5) Line = qt.QFrame(grid) Line.setFrameShape(qt.QFrame.HLine) Line.setFrameShadow(qt.QFrame.Sunken) Line.setFrameShape(qt.QFrame.HLine) gl.addMultiCellWidget(Line, 5, 5, 0, 5) layout.addWidget(grid) """ self.matrixGeometry = MatrixEditor.MatrixEditor(self,"tabMatrix", table=False, orientation="horizontal", density=False, thickness=False, size="image2") layout.addWidget(self.matrixGeometry) text ="This matrix definition will only be " text +="considered if Matrix is selected and material is set to " text +="MULTILAYER in the ATTENUATORS tab.\n " self.matrixInfo = qt.QLabel(self) layout.addWidget(self.matrixInfo) self.matrixInfo.setText(text) """ self.matrixTable = AttenuatorsTableWidget(self, name, attenuators=compoundlist, matrixmode=False, compoundmode=True, layerindex=layerindex) layout.addWidget(self.matrixTable) QTable = qt.QTableWidget class AttenuatorsTableWidget(QTable): sigValueChanged = qt.pyqtSignal(int, int) def __init__(self, parent=None, name="Attenuators Table", attenuators=None, matrixmode=None, compoundmode=None, layerindex=0, funnyfilters=False): attenuators0 = ["Atmosphere", "Air", "Window", "Contact", "DeadLayer", "Filter5", "Filter6", "Filter7", "BeamFilter1", "BeamFilter2", "Detector", "Matrix"] QTable.__init__(self, parent) self.setWindowTitle(name) if attenuators is None: attenuators = attenuators0 if matrixmode is None: matrixmode = False if matrixmode: self.compoundMode = False elif compoundmode is None: self.compoundMode = False else: self.compoundMode = compoundmode if funnyfilters is None: funnyfilters = False self.funnyFiltersMode = funnyfilters if self.compoundMode: self.funnyFiltersMode = False labels = ["Compound", "Name", "Material", "Initial Amount"] else: if self.funnyFiltersMode: labels = ["Attenuator", "Name", "Material", "Density (g/cm3)", "Thickness (cm)", "Funny Factor"] else: labels = ["Attenuator", "Name", "Material", "Density (g/cm3)", "Thickness (cm)"] self.layerindex = layerindex self.matrixMode = matrixmode self.attenuators = attenuators self.verticalHeader().hide() if DEBUG: print("margin to adjust") print("focus style") self.setFrameShape(qt.QTableWidget.NoFrame) self.setSelectionMode(qt.QTableWidget.NoSelection) self.setColumnCount(len(labels)) for i in range(len(labels)): item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(labels[i], qt.QTableWidgetItem.Type) item.setText(labels[i]) self.setHorizontalHeaderItem(i,item) if self.matrixMode: self.__build(len(attenuators)) elif self.compoundMode: self.__build(len(attenuators)) else: self.__build(len(attenuators0)) #self.adjustColumn(0) if self.matrixMode: item = self.horizontalHeaderItem(0) item.setText('Layer') self.setHorizontalHeaderItem(0, item) if self.compoundMode: self.resizeColumnToContents(0) self.resizeColumnToContents(1) self.sigValueChanged[int,int].connect(self.mySlot) def __build(self, nfilters=12): n = 0 if (not self.matrixMode) and (not self.compoundMode): n = 4 #self.setNumRows(nfilters+n) self.setRowCount(12) else: self.setRowCount(nfilters) rheight = self.horizontalHeader().sizeHint().height() for idx in range(self.rowCount()): self.setRowHeight(idx, rheight) self.comboList = [] matlist = list(Elements.Material.keys()) matlist.sort() if self.matrixMode or self.compoundMode: if self.matrixMode: roottext = "Layer" else: roottext = "Compound%d" % self.layerindex a = [] #a.append('') for key in matlist: a.append(key) for idx in range(self.rowCount()): item= qt.QCheckBox(self) self.setCellWidget(idx, 0, item) text = roottext+"%d" % idx item.setText(text) item = self.item(idx, 1) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(idx, 1, item) else: item.setText(text) item.setFlags(qt.Qt.ItemIsSelectable| qt.Qt.ItemIsEnabled) combo = MyQComboBox(self, options=a, row = idx, col = 2) combo.setEditable(True) self.setCellWidget(idx, 2, combo) combo.sigMaterialComboBoxSignal.connect(self._comboSlot) return selfnumRows = self.rowCount() for idx in range(selfnumRows - n): text = "Filter% 2d" % idx item = qt.QCheckBox(self) self.setCellWidget(idx, 0, item) item.setText(text) if idx < len(self.attenuators): text = self.attenuators[idx] item = self.item(idx, 1) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(idx, 1, item) else: item.setText(text) #a = qt.QStringList() a = [] #a.append('') for key in matlist: a.append(key) combo = MyQComboBox(self, options=a, row=idx, col = 2) combo.setEditable(True) self.setCellWidget(idx, 2, combo) #self.setItem(idx,2,combo) combo.sigMaterialComboBoxSignal.connect(self._comboSlot) for i in range(2): #BeamFilter(i) item = qt.QCheckBox(self) idx = self.rowCount() - (4 - i) self.setCellWidget(idx, 0, item) text = "BeamFilter%d" % i item.setText(text) item = self.item(idx,1) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(idx, 1, item) else: item.setText(text) item.setFlags(qt.Qt.ItemIsSelectable| qt.Qt.ItemIsEnabled) text = "1.0" item = self.item(idx, 5) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(idx, 5, item) else: item.setText(text) item.setFlags(qt.Qt.ItemIsSelectable| qt.Qt.ItemIsEnabled) combo = MyQComboBox(self, options=a, row=idx, col=2) combo.setEditable(True) self.setCellWidget(idx, 2, combo) combo.sigMaterialComboBoxSignal.connect(self._comboSlot) #Detector item = qt.QCheckBox(self) idx = self.rowCount() - 2 self.setCellWidget(idx, 0, item) text = "Detector" item.setText(text) item = self.item(idx,1) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(idx, 1, item) else: item.setText(text) item.setFlags(qt.Qt.ItemIsSelectable | qt.Qt.ItemIsEnabled) text = "1.0" item = self.item(idx, 5) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(idx, 5, item) else: item.setText(text) item.setFlags(qt.Qt.ItemIsSelectable | qt.Qt.ItemIsEnabled) combo = MyQComboBox(self, options=a, row=idx, col=2) combo.setEditable(True) self.setCellWidget(idx, 2, combo) #Matrix item = qt.QCheckBox(self) idx = self.rowCount() - 1 self.setCellWidget(idx, 0, item) text = "Matrix" item.setText(text) item = self.item(idx, 1) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(idx, 1, item) else: item.setText(text) item.setFlags(qt.Qt.ItemIsSelectable |qt.Qt.ItemIsEnabled) text = "1.0" item = self.item(idx, 5) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(idx, 5, item) else: item.setText(text) item.setFlags(qt.Qt.ItemIsSelectable | qt.Qt.ItemIsEnabled) combo.sigMaterialComboBoxSignal.connect(self._comboSlot) #a = qt.QStringList() a = [] #a.append('') for key in matlist: a.append(key) #combo = qttable.QComboTableItem(self,a) self.combo = MyQComboBox(self, options=a, row=idx, col=2) self.setCellWidget(idx, 2, self.combo) self.combo.sigMaterialComboBoxSignal.connect(self._comboSlot) def mySlot(self,row,col): if DEBUG: print("Value changed row = %d cole = &d" % (row, col)) print("Text = %s" % self.text(row, col)) def _comboSlot(self, ddict): if DEBUG: print("_comboSlot", ddict) row = ddict['row'] col = ddict['col'] text = ddict['text'] self.setCurrentCell(row, col) self._checkDensityThickness(text, row) self.sigValueChanged.emit(row, col) def text(self, row, col): if col == 2: return self.cellWidget(row, col).currentText() else: if col not in [1, 3, 4, 5]: print("row, col = %d, %d" % (row, col)) print("I should not be here") else: item = self.item(row, col) return item.text() def setText(self, row, col, text): if col == 0: self.cellWidget(row, 0).setText(text) return if col not in [1, 3, 4, 5]: print("only compatible columns 1, 3 and 4") raise ValueError("method for column > 2") item = self.item(row, col) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(row, col, item) else: item.setText(text) def setCellWidget(self, row, col, w): QTable.setCellWidget(self, row, col, w) def _checkDensityThickness(self, text, row): try: currentDensity = float(str(self.text(row, 3))) except: currentDensity = 0.0 try: currentThickness = float(str(self.text(row, 4))) except: currentThickness = 0.0 defaultDensity = -1.0 defaultThickness = -0.1 #check if default density is there if Elements.isValidFormula(text): #check if single element if text in Elements.Element.keys(): defaultDensity = Elements.Element[text]['density'] else: elts = [ w for w in re.split('[0-9]', text) if w != ''] nbs = [ int(w) for w in re.split('[a-zA-Z]', text) if w != ''] if len(elts) == 1 and len(nbs) == 1: defaultDensity = Elements.Element[elts[0]]['density'] elif Elements.isValidMaterial(text): key = Elements.getMaterialKey(text) if key is not None: if 'Density' in Elements.Material[key]: defaultDensity = Elements.Material[key]['Density'] if 'Thickness' in Elements.Material[key]: defaultThickness = Elements.Material[key]['Thickness'] if defaultDensity >= 0.0: self.setText(row, 3, "%g" % defaultDensity) elif currentDensity <= 0: # should not be better to raise an exception if the # entered density or thickness were negative? self.setText(row, 3, "%g" % 1.0) if defaultThickness >= 0.0: self.setText(row, 4, "%g" % defaultThickness) elif currentThickness <= 0.0: # should not be better to raise an exception if the # entered density or thickness were negative? self.setText(row, 4, "%g" % 0.1) class MyQComboBox(MaterialEditor.MaterialComboBox): def _mySignal(self, qstring0): qstring = qstring0 (result, index) = self.ownValidator.validate(qstring, 0) if result != self.ownValidator.Valid: qstring = self.ownValidator.fixup(qstring) (result, index) = self.ownValidator.validate(qstring,0) if result != self.ownValidator.Valid: text = str(qstring) if text.upper() != "MULTILAYER": qt.QMessageBox.critical(self, "Invalid Material '%s'" % text, "The material '%s' is not a valid Formula " \ "nor a valid Material.\n" \ "Please define the material %s or correct the formula\n" % \ (text, text)) self.setCurrentIndex(0) for i in range(self.count()): selftext = self.itemText(i) if selftext == qstring0: self.removeItem(i) break return text = str(qstring) self.setCurrentText(text) ddict = {} ddict['event'] = 'activated' ddict['row'] = self.row ddict['col'] = self.col ddict['text'] = text if qstring0 != qstring: self.removeItem(self.count() - 1) insert = True for i in range(self.count()): selftext = self.itemText(i) if qstring == selftext: insert = False if insert: self.insertItem(-1, qstring) # signal defined in the superclass. self.sigMaterialComboBoxSignal.emit(ddict) def main(args): app = qt.QApplication(args) #tab = AttenuatorsTableWidget(None) if len(args) < 2: tab = AttenuatorsTab(None) elif len(args) > 3: tab = CompoundFittingTab(None) else: tab = MultilayerTab(None) tab.show() app.exec_() if __name__=="__main__": main(sys.argv) ����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/QtMcaAdvancedFitReport.py����������������������������������0000644�0002763�0000175�00000106641�13136054446�024642� 0����������������������������������������������������������������������������������������������������ustar �sole����������������������������bliss���������������������������0000000�0000000������������������������������������������������������������������������������������������������������������������������������������������������������������������������#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import sys import time MATPLOTLIB = True from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() #this is installation dependent I guess from matplotlib import rcParams from matplotlib import __version__ as matplotlib_version #rcParams['numerix'] = "numeric" from matplotlib.font_manager import FontProperties from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas from matplotlib.figure import Figure MATPLOTLIB = True from PyMca5.PyMcaIO import ConfigDict from PyMca5.PyMcaCore import PyMcaLogo from PyMca5.PyMcaPhysics.xrf import ConcentrationsTool ConcentrationsConversion = ConcentrationsTool.ConcentrationsConversion class QtMcaAdvancedFitReport: def __init__(self, fitfile = None, outfile = None, outdir = None, sourcename = None, selection = None, fitresult = None,htmltext=None, concentrations=None, table = None, plotdict=None): self.concentrations = concentrations self.concentrationsConversion = ConcentrationsConversion() if table is None: table = 2 self.tableFlag = table if fitfile is not None: #generate output from fit result file self.fitfile = fitfile self.outfile = outfile self.outdir = outdir self.generateReportFromFitFile() else: #generate output from fitresult INCLUDING fit file self.fitfile = fitfile self.outfile = outfile self.outdir = outdir self.sourcename=sourcename self.selection =selection self.fitresult =fitresult if self.outfile is None: if selection is not None: self.outfile = selection if (self.outfile is None) or (self.outfile == 'Unknown Origin'): if sourcename is not None: self.outfile = os.path.basename(sourcename) self.outfile = self.outfile.replace(" ","_") self.outfile = self.outfile.replace("/","_over_") self.graph = None if htmltext is None: htmltext={} self.otherhtmltext=htmltext if plotdict is None: self.plotDict = {'logy':True, 'xmin':None, 'xmax':None, 'ymin':None, 'ymax':None} else: self.plotDict = plotdict def writeReport(self,text=None): if len(self.outfile) > 5: if self.outfile[-5:] != ".html": outfile = os.path.join(self.outdir, self.outfile+".html") else: outfile = os.path.join(self.outdir, self.outfile) else: outfile = os.path.join(self.outdir, self.outfile+".html") try: os.remove(outfile) except: pass concentrationsfile = outfile[:-5]+"_concentrations.txt" try: os.remove(concentrationsfile) except: pass if text is None: text = self.getText() f=open(outfile,"w") f.write(text) f.close() if len(self._concentrationsTextASCII) > 1: f=open(concentrationsfile, "w") f.write(self._concentrationsTextASCII) f.close() return outfile def generateReportFromFitFile(self): d=ConfigDict.ConfigDict() d.read(self.fitfile) sourcename = "Unknown Source" selection = "Unknown Selection" if 'info' in d: if 'key' in d['info']: selection=d['info']['key'] elif 'Key' in d['info']: selection=d['info']['Key'] for key in d['info'].keys(): if key.upper() == 'SOURCENAME': sourcename = d['info'][key] elif (key.upper() == 'SELECTION') or\ (key.upper() == 'LEGEND'): selection = d['info'][key] self.sourcename = sourcename self.selection = selection if self.outfile is None: if self.outdir is None: self.outdir = os.getcwd() self.outfile= os.path.basename(self.fitfile) else: if self.outdir is None: self.outdir = os.path.dirname(self.outfile) self.outfile= os.path.basename(self.outfile) if self.outdir == '':self.outdir = "." self.fitresult=d if 'concentrations' in d: self.concentrations = d['concentrations'] def getText(self): newlinks = [] for key in self.otherhtmltext.keys(): newlinks.append(["#%s" % (key),"%s" % key]) text =self.getHeader(newlinks) text+=self.getInfo() text+=self.getImage() text+=self.getParam() text+=self.getConcentrations() self._concentrationsTextASCII = self.getConcentrationsASCII() text+=self.getResult() for key in self.otherhtmltext.keys(): text+="\n" text+= "<H2><a NAME=""%s""></a><FONT color=#009999>" % key text+= "%s:" % key text+= "</FONT></H2>" text+= self.otherhtmltext[key] text+="<br>" text+=self.getFooter() return text def getHeader(self,addlink=None): link = [ ['http://pymca.sourceforge.net', 'PyMCA home'], ['http://www.esrf.fr', 'ESRF home'], ['http://www.esrf.fr/UsersAndScience/Experiments/TBS/BLISS', 'BLISS home']] if self.concentrations is not None: link.append(['#Concentrations', 'Concentrations']) if self.tableFlag:link.append(['#Fit_Peak_Results', 'Fit Peak Results']) if addlink is not None: for item in addlink: link.append(item) text ="" text+= "<HTML>" text+= "<HEAD>" text+= "<TITLE>PyMCA : Advanced Fit Results" text+= "" text+= "" text+= "
" text+= "" text+= " " text+= " " text+= " " text+= " " text+= " " text+= " " text+= " " text+= " " text+= " " text+= " " text+= "
" text+= " PyMCA : Advanced Fit Results" text+= " " text+= " " logofile = self.outdir + "/" + "PyMcaLogo.png" if not os.path.exists(logofile): pixmap = qt.QPixmap(PyMcaLogo.PyMcaLogo) pixmap.save(logofile,"PNG") text+= " " % "PyMcaLogo.png" text+= "
" text+= " " text+= " " text+= " " text+= " " text+= "
" text+= "  " for name in link: text+= "|  %s  "%(tuple(name)) text+= " " text+= "
" text+= "
" text+= "
" text+= "
" return text def getInfo(self): text ="" text+= "

" text+= "Computed File : " text+= "" text+= "" if self.fitfile is not None: if os.path.basename(self.fitfile) == self.fitfile: text+= "%s" % (os.getcwd()+"/"+self.fitfile) else: text+= "%s" % (self.fitfile) else: text+= "%s" % (self.outdir+"/"+self.outfile+".fit") #and I have to generate it!!!!!!!!!!!!" d=ConfigDict.ConfigDict(self.fitresult) try: os.remove(self.outdir+"/"+self.outfile+".fit") except: pass if self.concentrations is not None: d['concentrations'] = self.concentrations d.write(self.outdir+"/"+self.outfile+".fit") text+= "" text+= "

" text+= "" text+= "" text+= "" text+= "" text+="" if 0: #not yet implemented text+="" text+=" " text+="" text+="
" text+= "" text+= " " % (self.sourcename) text+= " " % (self.selection) text+= " " """ text+= " "%(self.sourcename) text+= " "%(self.selection) keys= [ key for key in info.keys() if key not in ['paramfile', 'peakfile'] ] for idx in range(0, len(keys), 2): text+= " "%(keys[idx], info[keys[idx]]) if idx+1 1: text+=" " text+=" " % 'Slope' value = self.fitresult['result']['fittedpar'][self.fitresult['result']['parameters'].index('Constant')+1] stdvalue = self.fitresult['result']['sigmapar'] [self.fitresult['result']['parameters'].index('Constant')+1] text+=" " % (value, stdvalue) text+=" " text+="" text+="
Source :  %s
Selection :  %s
Parameters :  " d=ConfigDict.ConfigDict(self.fitresult['result']['config']) try: os.remove(self.outdir+"/"+self.outfile+".txt") except: pass d.write(self.outdir+"/"+self.outfile+".txt") text+= "%s"% (self.outfile+".txt",self.outfile+".txt") text+="
Source : %sSelection : %s
%s : %s
 %s % .5E +/- % .5E
" text+="
" text+=" FIT END STATUS : %s
"% "STATUS" text+=" %s" % "MESSAGE" text+="
" text+="" return text def getFooter(self): now = time.time() text ="" text+= "
" text+= "" text+= " " text+= " " text+= " " text+= " " text+= " " % time.ctime(now) #text+= " " if sys.platform == 'win32': try: user = os.getenv('USERNAME') text+= " %s" % user except: text +="" else: try: user = os.getenv("USER") text+= " %s" % user except: text +="" text+= " " text+= "
created: %slast modified: %s" % time.ctime(now) text+= " last modified: %s by" % time.ctime(now) #text+= " papillon@esrf.fr
" text+= "
" text+= "" text+= "" return text def __getFitImage(self,imagefile=None): if imagefile is None:imagefile=self.outdir+"/"+self.outfile+".png" filelink = "%s" % imagefile text = "" text+= "

" text+= "Spectrum, Continuum and Fitted values :" text+= "

" text+= "
" text+= ""%filelink text+= "
" return text def getImage(self): ddict=self.fitresult try: fig = Figure(figsize=(6,3)) # in inches canvas = FigureCanvas(fig) ax = fig.add_axes([.15, .15, .8, .8]) ax.set_axisbelow(True) logplot = self.plotDict.get('logy', True) if logplot: axplot = ax.semilogy else: axplot = ax.plot axplot(ddict['result']['energy'], ddict['result']['ydata'], 'k', lw=1.5) axplot(ddict['result']['energy'], ddict['result']['continuum'], 'g', lw=1.5) legendlist = ['spectrum', 'continuum', 'fit'] axplot(ddict['result']['energy'], ddict['result']['yfit'], 'r', lw=1.5) fontproperties = FontProperties(size=8) if ddict['result']['config']['fit']['sumflag']: axplot(ddict['result']['energy'], ddict['result']['pileup'] + ddict['result']['continuum'], 'y', lw=1.5) legendlist.append('pileup') if matplotlib_version < '0.99.0': legend = ax.legend(legendlist,0, prop = fontproperties, labelsep=0.02) elif matplotlib_version < '1.5': legend = ax.legend(legendlist,0, prop = fontproperties, labelspacing=0.02) else: legend = ax.legend(legendlist, loc=0, prop = fontproperties, labelspacing=0.02) except ValueError: fig = Figure(figsize=(6,3)) # in inches canvas = FigureCanvas(fig) ax = fig.add_axes([.15, .15, .8, .8]) ax.set_axisbelow(True) ax.plot(ddict['result']['energy'], ddict['result']['ydata'], 'k', lw=1.5) ax.plot(ddict['result']['energy'], ddict['result']['continuum'], 'g', lw=1.5) legendlist = ['spectrum', 'continuum', 'fit'] ax.plot(ddict['result']['energy'], ddict['result']['yfit'], 'r', lw=1.5) fontproperties = FontProperties(size=8) if ddict['result']['config']['fit']['sumflag']: ax.plot(ddict['result']['energy'], ddict['result']['pileup'] + ddict['result']['continuum'], 'y', lw=1.5) legendlist.append('pileup') if matplotlib_version < '0.99.0': legend = ax.legend(legendlist,0, prop = fontproperties, labelsep=0.02) elif matplotlib_version < '1.5': legend = ax.legend(legendlist,0, prop = fontproperties, labelspacing=0.02) else: legend = ax.legend(legendlist, loc=0, prop = fontproperties, labelspacing=0.02) ax.set_xlabel('Energy') ax.set_ylabel('Counts') legend.draw_frame(False) outfile = self.outdir+"/"+self.outfile+".png" try: os.remove(outfile) except: pass canvas.print_figure(outfile) return self.__getFitImage(self.outfile+".png") def getConcentrations(self): return self.concentrationsConversion.getConcentrationsAsHtml(\ self.concentrations) def getConcentrationsASCII(self): return self.concentrationsConversion.getConcentrationsAsAscii(\ self.concentrations) def getResult(self): text = "" if self.tableFlag == 0: return text text+="\n" text+= "

" % 'Fit_Peak_Results' text+= "%s:" % 'Fit Peak Results' text+= "

" text+="
" result = self.fitresult['result'] if self.tableFlag == 1: labels=['Element','Group','Fit  Area','Sigma'] else: labels=['Element','Group','Fit  Area','Sigma','Energy','Ratio','FWHM','Chi  square'] lemmon = ("#%x%x%x" % (255,250,205)).upper() hcolor = ("#%x%x%x" % (230,240,249)).upper() text += "
" text += ("") text += '' text += ( "") for l in range(len(labels)): if l < 2: text += '' % (hcolor,labels[l]) elif (l > 3) or (self.tableFlag == 1): text += '' % (hcolor,labels[l]) else: text += '' % (hcolor,labels[l]) text+="\n" for group in result['groups']: text+=("") ele,group0 = group.split() text += '' % ele text += '' % group0 fitarea = "%.6e" % result[group]['fitarea'] sigmaarea = "%.2e" % result[group]['sigmaarea'] text += '' % fitarea text += '' % sigmaarea text += '' text += '' text += '' text += '' text += '\n' if type(result[group]['peaks']) != type([]): iterator = [result[group]['peaks']] else: iterator = 1 * result[group]['peaks'] if self.tableFlag == 1: iterator = [] for peak in iterator: text += '' name = peak energy = ("%.3f" % (result[group][peak]['energy'])) ratio = ("%.5f" % (result[group][peak]['ratio'])) area = ("%.6e" % (result[group][peak]['fitarea'])) sigma = ("%.2e" % (result[group][peak]['sigmaarea'])) fwhm = ("%.3f" % (result[group][peak]['fwhm'])) chisq = ("%.2f" % (result[group][peak]['chisq'])) fields = [name,area,sigma,energy,ratio,fwhm,chisq] for field in fields: if field == name: text+=('' % (lemmon,field)) else: text+=('' % (lemmon,field)) text+="\n" if type(result[group]['escapepeaks']) != type([]): iterator = [result[group]['escapepeaks']] else: iterator = 1 * result[group]['escapepeaks'] if self.tableFlag == 1: iterator = [] for peak0 in iterator: name = peak0+"esc" peak = peak0+"esc" if result[group][name]['ratio'] > 0.0: text += '' energy = ("%.3f" % (result[group][peak]['energy'])) ratio = ("%.5f" % (result[group][peak]['ratio'])) area = ("%.6e" % (result[group][peak]['fitarea'])) sigma = ("%.2e" % (result[group][peak]['sigmaarea'])) fwhm = ("%.3f" % (result[group][peak]['fwhm'])) chisq = ("%.2f" % (result[group][peak]['chisq'])) fields = [name,area,sigma,energy,ratio,fwhm,chisq] for field in fields: if field == name: text+=('' % (lemmon,field)) else: text+=('' % (lemmon,field)) text+="\n" text+=("
%s%s%s
%s%s%s%s    
 %s%s
%s%s
") text+=("") text+="
" return text def generateoutput(fitfile,outfile=None): report = QtMcaAdvancedFitReport(fitfile, outfile) report.writeReport() if __name__ == "__main__": if len(sys.argv) <2 : print("Usage: %s Input_Fit_Result_File [optional_output_file]" %\ sys.argv[0]) sys.exit(1) app = qt.QApplication(sys.argv) fitfile=sys.argv[1] if len(sys.argv) > 2: outfile = sys.argv[2] else: outfile = None generateoutput(fitfile,outfile) app.quit() PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/ElementsInfo.py0000644000276300001750000002270113136054446022732 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaPhysics.xrf import ElementHtml from PyMca5.PyMcaPhysics.xrf import Elements from PyMca5.PyMcaGui.physics.xrf.QPeriodicTable import QPeriodicTable __revision__ = "$Revision: 1.15 $" DEBUG = 0 CLOSE_ICON =[ "16 16 18 1", ". c None", "d c #000000", "c c #080808", "k c #080c08", "b c #181818", "a c #212021", "# c #212421", "j c #292829", "e c #313031", "f c #393839", "i c #424542", "m c #525152", "h c #525552", "g c #5a595a", "l c #636163", "p c #6b696b", "n c #7b797b", "o c #ffffff", "................", "................", "......#abcd.....", "....efghijkdd...", "...elmgnliaddd..", "...fmoopnhoodd..", "..#ggooogoooddd.", "..ahnpooooocddd.", "..bilngoooadddd.", "..cjihooooodddd.", "..dkaoooaoooddd.", "...ddoocddoodd..", "...ddddddddddd..", "....ddddddddd...", "......ddddd.....", "................" ] class ElementsInfo(qt.QWidget): def __init__(self, parent=None, name="Elements Info"): qt.QWidget.__init__(self, parent) self.setWindowTitle(name) layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) self.energyValue = None self.splitter = qt.QSplitter(self) layout.addWidget(self.splitter) self.splitter.setOrientation(qt.Qt.Horizontal) self.table = QPeriodicTable(self.splitter) self.html = ElementHtml.ElementHtml() self.infoWidget = None self.table.setMinimumSize(500, 400) self.table.sigElementClicked.connect(self.elementClicked) self.lastElement = None Elements.registerUpdate(self._updateCallback) def elementClicked(self, symbol): if self.infoWidget is None: self.__createInfoWidget(symbol) else: self.infoText.clear() self.infoText.insertHtml(self.html.gethtml(symbol)) if self.infoWidget.isHidden(): self.infoWidget.show() self.lastElement = symbol self.infoWidget.setWindowTitle(symbol) self.infoWidget.raise_() def __createInfoWidget(self,symbol=""): #Dock window like widget frame = qt.QWidget(self.splitter) layout = qt.QVBoxLayout(frame) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) #The dock functionnality toolbar = qt.QWidget(frame) layout.addWidget(toolbar) layout1 = qt.QHBoxLayout(toolbar) layout1.setContentsMargins(0, 0, 0, 0) layout1.setSpacing(0) # --- the line self.line1 = Line(toolbar) self.line1.setFrameShape(qt.QFrame.HLine) self.line1.setFrameShadow(qt.QFrame.Sunken) self.line1.setFrameShape(qt.QFrame.HLine) layout1.addWidget(self.line1) # --- the close button self.closelabel = PixmapLabel(toolbar) self.closelabel.setPixmap(qt.QPixmap(CLOSE_ICON)) layout1.addWidget(self.closelabel) self.closelabel.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) # --- connections self.line1.sigLineDoubleClickEvent.connect(self.infoReparent) self.closelabel.sigPixmapLabelMousePressEvent.connect(self.infoToggle) # --- The text edit widget w= qt.QWidget(frame) layout.addWidget(w) l=qt.QVBoxLayout(w) l.setContentsMargins(0, 0, 0, 0) l.setSpacing(0) hbox = qt.QWidget(w) hbox.layout = qt.QHBoxLayout(hbox) hbox.layout.setContentsMargins(0, 0, 0, 0) hbox.layout.setSpacing(0) l.addWidget(hbox) hbox.layout.addWidget(qt.HorizontalSpacer(hbox)) l1=qt.QLabel(hbox) l1.setText('Excitation Energy (keV)') self.energy=MyQLineEdit(hbox) self.energy.setFixedWidth(self.energy.fontMetrics().width('#####.###')) self.energy.setText("") hbox.layout.addWidget(l1) hbox.layout.addWidget(self.energy) hbox.layout.addWidget(qt.HorizontalSpacer(hbox)) self.energy.editingFinished[()].connect(self._energySlot) #if both signals are emitted and there is an error then we are in an #endless loop #self.connect(self.energy, qt.SIGNAL('focusOut'), self._energySlot) self.infoText = qt.QTextEdit(w) self.infoText.setReadOnly(1) self.infoText.clear() self.infoText.insertHtml(self.html.gethtml(symbol)) l.addWidget(self.infoText) w.show() self.infoWidget=frame frame.show() def infoReparent(self): if self.infoWidget.parent() is not None: self.infoWidget.setParent(None) self.infoWidget.move(self.cursor().pos()) self.infoWidget.show() #,self.cursor().pos(),1) else: self.infoWidget.setParent(self.splitter) self.splitter.insertWidget(1,self.infoWidget) #,qt.QPoint(),1) #self.splitter.moveToFirst(self.sourceFrame) self.infoWidget.setFocus() def infoToggle(self,**kw): if DEBUG: print("toggleSource called") if self.infoWidget.isHidden(): self.infoWidget.show() self.infoWidget.raiseW() else: self.infoWidget.hide() def _energySlot(self): string = str(self.energy.text()) if len(string): try: value = float(string) except: msg=qt.QMessageBox(self.energy) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") msg.exec_() self.energy.setFocus() return if self.energyValue is not None: if value != self.energyValue: self.energyValue = value Elements.updateDict(energy=value) else: self.energyValue = value Elements.updateDict(energy=value) self.energy.setPaletteBackgroundColor(qt.QColor('white')) self.infoWidget.setFocus() else: self.energyValue = None self.energy.setText("") def _updateCallback(self): if self.lastElement is not None: self.elementClicked(self.lastElement) if Elements.Element[self.lastElement]['buildparameters']['energy'] is not None: self.energy.setText("%.3f" % Elements.Element[self.lastElement]['buildparameters']['energy']) else: self.energy.setText("") class Line(qt.QFrame): sigLineDoubleClickEvent = qt.pyqtSignal(object) def mouseDoubleClickEvent(self,event): if DEBUG: print("Double Click Event") ddict={} ddict['event']="DoubleClick" ddict['data'] = event self.sigLineDoubleClickEvent.emit(ddict) class PixmapLabel(qt.QLabel): sigPixmapLabelMousePressEvent = qt.pyqtSignal(object) def mousePressEvent(self,event): if DEBUG: print("Mouse Press Event") ddict={} ddict['event']="MousePress" ddict['data'] = event self.sigPixmapLabelMousePressEvent.emit(ddict) class MyQLineEdit(qt.QLineEdit): sigFocusOut = qt.pyqtSignal() def __init__(self,parent=None,name=None): qt.QLineEdit.__init__(self,parent) def setPaletteBackgroundColor(self, color): palette = self.palette() role = self.backgroundRole() palette.setColor(role,color) self.setPalette(palette) def focusInEvent(self,event): self.setPaletteBackgroundColor(qt.QColor('yellow')) def focusOutEvent(self,event): self.setPaletteBackgroundColor(qt.QColor('white')) self.sigFocusOut.emit() def main(): app = qt.QApplication([]) winpalette = qt.QPalette(qt.QColor(230,240,249),qt.QColor(238,234,238)) app.setPalette(winpalette) w= ElementsInfo() w.show() app.exec_() if __name__ == "__main__": main() PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/McaCalWidget.py0000644000276300001750000020044713136054446022633 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import numpy from numpy.linalg import inv as inverse import copy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PlotWidget if hasattr(qt, "QString"): QString = qt.QString else: QString = str QTVERSION = qt.qVersion() from PyMca5.PyMcaMath.fitting import Gefit from PyMca5.PyMcaMath.fitting import Specfit from PyMca5.PyMcaMath.fitting import SpecfitFuns from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from . import PeakTableWidget if 0: from PyMca5 import XRDPeakTableWidget DEBUG = 0 LOW_HEIGHT_THRESHOLD = 660 class McaCalWidget(qt.QDialog): def __init__(self, parent=None, name="MCA Calibration Widget", x = None,y=None,current=None,peaks=None,caldict=None, specfit=None,legend="", xrd=False, lambda_="-", modal=0,fl=0): #fl=qt.Qt.WDestructiveClose): self.name= name if QTVERSION < '4.0.0': qt.QDialog.__init__(self, parent, name, modal,fl) self.setCaption(self.name) else: qt.QDialog.__init__(self, parent) self.setModal(modal) self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.setWindowTitle(self.name) maxheight = qt.QDesktopWidget().height() if maxheight < 770: self.setMinimumHeight(int(0.9*(maxheight))) self.setMaximumHeight(int(1.0*(maxheight))) self.__xrdMode = xrd self.__xrdLambda = lambda_ self.__xrdEnergy = "" self.__xrdParticle = "Photon" self.__manualsearch = 0 self.foundPeaks = [] if caldict is None: caldict = {} self.dict = {} if x is None: if len(y): x = numpy.arange(len(y)).astype(numpy.float) self.dict ['x'] = x self.dict ['y'] = y self.dict ['legend'] = legend self.current = legend self.caldict = caldict if legend not in self.caldict.keys(): self.caldict[legend] = {} self.caldict[legend]['order'] = 1 self.caldict[legend]['A'] = 0.0 self.caldict[legend]['B'] = 1.0 self.caldict[legend]['C'] = 0.0 if not ('order' in self.caldict[legend]): if abs(self.caldict[legend]['C']) > 0.0: self.caldict[legend]['order'] = 2 else: self.caldict[legend]['order'] = 1 self.callist = self.caldict.keys() if specfit is None: self.specfit = Specfit.Specfit() else: self.specfit = specfit self.build() self.initIcons() self.initToolBar() self.connections() if self.dict ['y'] is not None: self.plot(x,y,legend) self.markermode = 0 self.linewidgets=[] self._toggleLogY() self.__peakmarkermode() def build(self): self.layout = qt.QVBoxLayout(self) self.layout.setContentsMargins(0, 0, 0, 0) self.layout.setSpacing(0) self.toolbar = qt.QWidget(self) self.toolbar.layout = qt.QHBoxLayout(self.toolbar) self.toolbar.layout.setContentsMargins(0, 0, 0, 0) self.toolbar.layout.setSpacing(0) self.layout.addWidget(self.toolbar) self.container = qt.QWidget(self) self.container.layout = qt.QVBoxLayout(self.container) self.container.layout.setContentsMargins(0, 0, 0, 0) self.container.layout.setSpacing(0) self.layout.addWidget(self.container) #The graph self.graph= PlotWidget.PlotWidget(self.container, backend=None) self.graph.setGraphXLabel('Channel') self.graph.setGraphYLabel('Counts') self.graph.setDataMargins(0.0, 0.0, 0.0, 0.0) #The calibration Widget self.bottomPanel = qt.QWidget(self.container) self.bottomPanel.layout = qt.QHBoxLayout(self.bottomPanel) self.bottomPanel.layout.setSpacing(6) if qt.QDesktopWidget().height() < LOW_HEIGHT_THRESHOLD: self.bottomPanel.layout.setContentsMargins(2, 2, 2, 2) else: self.bottomPanel.layout.setContentsMargins(10, 10, 10, 10) self.peakParameters = PeakSearchParameters(self.bottomPanel) self.bottomPanel.layout.addWidget(self.peakParameters) """ self.calpar = CalibrationParameters(self.bottomPanel) self.calpar. setSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed) """ if QTVERSION < '4.0.0': self.bottomPanel.layout.addWidget(qt.HorizontalSpacer(self.bottomPanel)) #self.cal.setSizePolicy(qt.QSizePolicy.MinimumExpanding, qt.QSizePolicy.MinimumExpanding) self.peakParameters.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) if self.__xrdMode: self.peakTable = XRDPeakTableWidget.XRDPeakTableWidget(self.bottomPanel) else: self.peakTable = PeakTableWidget.PeakTableWidget(self.bottomPanel) self.bottomPanel.layout.addWidget(self.peakTable) self.peakTable.verticalHeader().hide() if QTVERSION < '4.0.0': self.peakTable.setLeftMargin(0) self.container.layout.addWidget(self.graph) self.container.layout.addWidget(self.bottomPanel) #self.peakTable.setRowReadOnly(0,1) def initIcons(self): self.normalIcon = qt.QIcon(qt.QPixmap(IconDict["normal"])) self.zoomIcon = qt.QIcon(qt.QPixmap(IconDict["zoom"])) self.roiIcon = qt.QIcon(qt.QPixmap(IconDict["roi"])) self.peakIcon = qt.QIcon(qt.QPixmap(IconDict["peak"])) self.zoomResetIcon = qt.QIcon(qt.QPixmap(IconDict["zoomreset"])) self.roiResetIcon = qt.QIcon(qt.QPixmap(IconDict["roireset"])) self.peakResetIcon = qt.QIcon(qt.QPixmap(IconDict["peakreset"])) self.refreshIcon = qt.QIcon(qt.QPixmap(IconDict["reload"])) self.logxIcon = qt.QIcon(qt.QPixmap(IconDict["logx"])) self.logyIcon = qt.QIcon(qt.QPixmap(IconDict["logy"])) self.fitIcon = qt.QIcon(qt.QPixmap(IconDict["fit"])) self.searchIcon = qt.QIcon(qt.QPixmap(IconDict["peaksearch"])) def _resetZoom(self, dummyValue=None): return self.graph.resetZoom() def initToolBar(self): toolbar = self.toolbar #Zoom Reset self._addToolButton(self.zoomResetIcon, self._resetZoom, 'Auto-Scale the Graph') # Logarithmic self.yLogButton = self._addToolButton(self.logyIcon, self._toggleLogY, 'Toggle Logarithmic Y Axis (On/Off)', toggle=True) self.yLogButton.setChecked(False) self.yLogButton.setDown(False) # Search self._addToolButton(self.searchIcon, self.peakSearch, 'Clear Peak Table and Search Peaks') # Clear peaks self._addToolButton(self.peakResetIcon, self.clearPeaks, 'Clear Peak Table') # Manual Search self.__msb = self._addToolButton(self.peakIcon, self.manualsearch, 'Add a peak to the graph', toggle=True) self.toolbar.layout.addWidget(qt.HorizontalSpacer(toolbar)) label=qt.QLabel(toolbar) label.setText('Channel:') self.toolbar.layout.addWidget(label) self.xpos = qt.QLineEdit(toolbar) self.xpos.setText('------') self.xpos.setReadOnly(1) self.xpos.setFixedWidth(self.xpos.fontMetrics().width('########')) self.toolbar.layout.addWidget(self.xpos) label=qt.QLabel(toolbar) label.setText('Counts:') self.toolbar.layout.addWidget(label) self.ypos = qt.QLineEdit(toolbar) self.ypos.setText('------') self.ypos.setReadOnly(1) self.ypos.setFixedWidth(self.ypos.fontMetrics().width('#########')) self.toolbar.layout.addWidget(self.ypos) label=qt.QLabel(toolbar) if self.__xrdMode: label.setText('2Theta:') else: label.setText('Energy:') self.toolbar.layout.addWidget(label) self.epos = qt.QLineEdit(toolbar) self.epos.setText('------') self.epos.setReadOnly(1) self.epos.setFixedWidth(self.epos.fontMetrics().width('#########')) self.toolbar.layout.addWidget(self.epos) #rest toolbar2 = qt.QWidget(self) self.layout.addWidget(toolbar2) toolbar2.layout = qt.QHBoxLayout(toolbar2) toolbar2.layout.setContentsMargins(0, 0, 0, 0) toolbar2.layout.setSpacing(0) self.calpar = CalibrationParameters(toolbar2, calname=self.current,caldict=self.caldict, xrd=self.__xrdMode) self.calpar. setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) self.okButton = qt.QPushButton(toolbar2) self.okButton.setText('OK') self.cancelButton = qt.QPushButton(toolbar2) self.cancelButton.setText('Cancel') if QTVERSION < '4.0.0': pass else: self.okButton.setAutoDefault(False) self.cancelButton.setAutoDefault(False) self.okButton. setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) self.cancelButton. setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) toolbar2.layout.addWidget(self.calpar) toolbar2.layout.addWidget(self.okButton) toolbar2.layout.addWidget(self.cancelButton) def _addToolButton(self, icon, action, tip, toggle=None): toolbar = self.toolbar tb = qt.QToolButton(toolbar) tb.setIcon(icon) tb.setToolTip(tip) if toggle is not None: if toggle: tb.setCheckable(1) self.toolbar.layout.addWidget(tb) tb.clicked.connect(action) return tb def _toggleLogY(self): if DEBUG: print("_toggleLogY") if self.graph.isYAxisLogarithmic(): self.setYAxisLogarithmic(False) else: self.setYAxisLogarithmic(True) def setYAxisLogarithmic(self, flag=True): self.graph.setYAxisLogarithmic(flag) self.yLogButton.setChecked(flag) self.yLogButton.setDown(flag) self._resetZoom() def connections(self): self.peakParameters.searchButton.clicked.connect(self.peakSearch) self.graph.sigPlotSignal.connect(self.__graphsignal) self.peakTable.sigPeakTableWidgetSignal.connect(self.__peakTableSignal) self.calpar.sigCalibrationParametersSignal.connect( \ self.__calparsignal) self.okButton.clicked.connect(self.accept) self.cancelButton.clicked.connect(self.reject) def plot(self,x,y,legend): #clear graph self.graph.clear() self.graph.addCurve(x, y , legend=legend, replot=True) self.dict['x'] = x self.dict['y'] = y self.dict['legend'] = legend #reset the zoom self._resetZoom() def peakSearch(self): if DEBUG: print("Peak search called") if self.__manualsearch: self.__manualsearch = 0 if QTVERSION < '4.0.0': self.__msb.setState(qt.QButton.Off) else: self.__msb.setChecked(0) #get current plot limits xmin,xmax=self.graph.getGraphXLimits() #set the data into specfit self.specfit.setdata(x=self.dict['x'], y=self.dict['y'], xmin=xmin, xmax=xmax) #get the search parameters from the interface pars = self.peakParameters.getParameters() if pars["AutoFwhm"]: fwhm = self.specfit.guess_fwhm() else: fwhm = pars["FwhmPoints"] if pars["AutoYscaling"]: yscaling = self.specfit.guess_yscaling() else: yscaling = pars["Yscaling"] sensitivity = pars["Sensitivity"] self.peakParameters.fwhmText.setText("%d" % fwhm) self.peakParameters.yscalingText.setText("%f" % yscaling) ysearch = self.specfit.ydata*yscaling peaksidx=SpecfitFuns.seek(ysearch,1,len(ysearch), fwhm, sensitivity) self.foundPeaks = [] self.graph.clearMarkers() self.__destroylinewidgets() self.peakTable.setRowCount(0) i = 0 for idx in peaksidx: self.foundPeaks.append(self.specfit.xdata[int(idx)]) #self.graph.insertx1marker(self.specfit.xdata[int(idx)],self.specfit.ydata[int(idx)]) self.graph.insertXMarker(self.specfit.xdata[int(idx)], legend="%d" % i, text=None, selectable=True, draggable=False, replot=False) i += 1 self.graph.replot() #make sure marker mode is on self.markermode = 0 self.__peakmarkermode() def clearpeaks(self): print("DEPRECATED: Use clearPeaks") return self.clearPeaks() def clearPeaks(self): self.foundPeaks = [] self.graph.clearMarkers() self.__destroylinewidgets() self.peakTable.clearPeaks() self.graph.replot() def manualsearch(self): #disable peak selection self.markermode = 1 self.__peakmarkermode() self.__manualsearch = 1 def __destroylinewidgets(self): for widget in self.linewidgets: widget.close(1) self.linewidgets=[] def __peakmarkermode(self): self.__manualsearch = 0 if self.markermode: self.graph.setCursor(qt.QCursor(qt.Qt.CrossCursor)) self.markermode = 0 self.graph.setZoomModeEnabled(False) else: self.markermode = 1 self.nomarkercursor = self.graph.cursor().shape() self.graph.setCursor(qt.QCursor(qt.Qt.PointingHandCursor)) self.graph.setZoomModeEnabled(True) #self.markerButton.setOn(self.markermode == 1) def __calparsignal(self,dict): if DEBUG: print("__calparsignal called dict = ",dict) if dict['event'] == 'coeff': current = dict['calname' ] self.current = current self.caldict[current]['order'] =dict['caldict'][dict['calname']]['order'] self.caldict[current]['A'] =dict['caldict'][dict['calname']]['A'] self.caldict[current]['B'] =dict['caldict'][dict['calname']]['B'] self.caldict[current]['C'] =dict['caldict'][dict['calname']]['C'] peakdict = self.peakTable.getDict() for peak in peakdict.keys(): channel = peakdict[peak]['channel'] calenergy = self.caldict[current]['A'] + \ self.caldict[current]['B'] * channel +\ self.caldict[current]['C'] * channel * channel self.peakTable.configure(name=peak,use=0, calenergy=calenergy) elif dict['event'] == 'order': current = dict['calname' ] self.current = current order = dict['caldict'][current]['order'] self.caldict[current]['order'] = order if order == "ID18": result = self.timeCalibratorCalibration() if result is None: return peak0, npeaks, delta, deltat = result[:] self.clearPeaks() self.foundPeaks = [] for i in range(int(npeaks)): channel = peak0 + i * delta calenergy = deltat * (i + 1) self.foundPeaks.append(channel) name = "%d" % i marker = self.graph.insertXMarker(channel, legend=name, color="red", replot=False) if name in self.peakTable.peaks.keys(): self.peakTable.configure(number=name, channel=channel, use=1, setenergy=calenergy, calenery=calenergy) else: nlines=self.peakTable.rowCount() self.peakTable.newpeakline(name, nlines+1) self.peakTable.configure(number=name, channel=channel, use=1, setenergy=calenergy, calenery=calenergy) #make sure we cannot select the peaks again self.markermode = 1 self.__peakmarkermode() self.graph.replot() else: self.caldict[current]['A'] = dict['caldict'][current]['A'] self.caldict[current]['B'] = dict['caldict'][current]['B'] self.caldict[current]['C'] = dict['caldict'][current]['C'] if self.caldict[current]['order'] == 'TOF': self.caldict[current]['vfix'] = dict['caldict'][current]['vfix'] self.__peakTableSignal({'event':'use'}) elif dict['event'] == 'savebox': current = dict['calname' ] if current not in self.caldict.keys(): self.caldict[current] = {} self.current = current self.caldict[current]['order'] = dict['caldict'][current]['order'] self.caldict[current]['A'] = dict['caldict'][current]['A'] self.caldict[current]['B'] = dict['caldict'][current]['B'] self.caldict[current]['C'] = dict['caldict'][current]['C'] elif dict['event'] == 'activated': # A comboBox has been selected if dict['boxname'] == 'Source': pass elif dict['boxname'] == 'Calibration': pass else: if DEBUG: print("Unknown combobox", dict['boxname']) else: print("Unknown signal ", dict) def __graphsignal(self, ddict): if DEBUG: print("__graphsignal called with dict = ", ddict) if ddict['event'] in ['markerClicked', 'markerSelected']: if DEBUG: print("Setting marker color") marker = int(ddict['label']) #The marker corresponds to the peak number channel = self.foundPeaks[marker] self.graph.insertXMarker(channel, legend=ddict['label'], color='red', replot=False) self.graph.replot() current = self.current calenergy = self.caldict[current]['A']+ \ self.caldict[current]['B'] * channel+ \ self.caldict[current]['C'] * channel * channel name = "Peak %d" % marker number = marker channel = ddict['x'] if self.__xrdMode: linewidget = XRDPeakTableWidget.XRDInputLine(self,name="Enter Selected Peak Parameters", peakpars={'name':name, 'number':number, 'channel':channel, 'use':1, 'cal2theta':calenergy, 'energy':self.__xrdEnergy, 'lambda_':self.__xrdLambda, 'particle':self.__xrdParticle}) else: linewidget = InputLine(self,name="Enter Selected Peak Parameters", peakpars={'name':name, 'number':number, 'channel':channel, 'use':1, 'calenergy':calenergy}) if QTVERSION < '4.0.0': ret = linewidget.exec_loop() else: ret = linewidget.exec_() if ret == qt.QDialog.Accepted: ddict=linewidget.getDict() if DEBUG: print("dict got from dialog = ",ddict) if ddict != {}: if name in self.peakTable.peaks.keys(): self.peakTable.configure(*ddict) else: nlines=self.peakTable.rowCount() ddict['name'] = name self.peakTable.newpeakline(name, nlines+1) self.peakTable.configure(**ddict) peakdict = self.peakTable.getDict() usedpeaks = [] for peak in peakdict.keys(): if peakdict[peak]['use'] == 1: if self.__xrdMode: self.__xrdLambda = ddict['lambda_'] self.__xrdParticle = ddict['particle'] self.__xrdEnergy = ddict['energy'] usedpeaks.append([peakdict[peak]['channel'], peakdict[peak]['set2theta']]) else: usedpeaks.append([peakdict[peak]['channel'], peakdict[peak]['setenergy']]) if len(usedpeaks): newcal = self.calculate(usedpeaks,order=self.caldict[current]['order']) if newcal is None: return self.caldict[current]['A'] = newcal[0] self.caldict[current]['B'] = newcal[1] self.caldict[current]['C'] = newcal[2] self.__peakTableSignal({'event':'use'}, calculate=False) else: if DEBUG: print("Dialog cancelled or closed ") self.graph.insertXMarker(channel, legend=ddict['label'], color='black', replot=False) self.graph.replot() del linewidget elif ddict['event'] in ["mouseMoved", 'MouseAt']: self.xpos.setText('%.1f' % ddict['x']) self.ypos.setText('%.1f' % ddict['y']) current = self.current if self.caldict[current]['order'] == 'TOF': calenergy = self.getTOFEnergy(ddict['x']) else: calenergy = self.caldict[current]['A']+ \ self.caldict[current]['B'] * ddict['x']+ \ self.caldict[current]['C'] * ddict['x'] * ddict['x'] self.epos.setText('%.3f' % calenergy) elif ddict['event'] in ['mouseClicked', 'MouseClick']: if self.__manualsearch: x = ddict['x'] y = ddict['y'] if (y <= 1.0): y=1.1 # insert the marker self.foundPeaks.append(x) legend = "%d" % (len(self.foundPeaks)-1) #self.graph.insertx1marker(self.specfit.xdata[int(idx)],self.specfit.ydata[int(idx)]) self.graph.insertXMarker(x, legend=legend, selectable=True, replot=False) self.graph.replot() self.markermode = 0 self.__peakmarkermode() self.__msb.setChecked(0) else: if DEBUG: print("Unhandled event ", ddict['event']) def __peakTableSignal(self, ddict, calculate=True): if DEBUG: print("__peaktablesignal called dict = ",ddict) if (ddict['event'] == 'use') or (ddict['event'] == 'setenergy'): #get table dictionary peakdict = self.peakTable.getDict() usedpeaks = [] for peak in peakdict.keys(): if peakdict[peak]['use'] == 1: if self.__xrdMode: usedpeaks.append([peakdict[peak]['channel'], peakdict[peak]['set2theta']]) else: usedpeaks.append([peakdict[peak]['channel'], peakdict[peak]['setenergy']]) if len(usedpeaks): if usedpeaks != [[0.0,0.0]]: current = self.current if calculate: newcal = self.calculate(usedpeaks,order=self.caldict[current]['order']) if newcal is None: return self.caldict[current]['A'] = newcal[0] self.caldict[current]['B'] = newcal[1] self.caldict[current]['C'] = newcal[2] self.calpar.setParameters(self.caldict[current]) for peak in peakdict.keys(): channel = peakdict[peak]['channel'] if self.caldict[current]['order'] == 'TOF': calenergy = self.getTOFEnergy(channel) else: calenergy = self.caldict[current]['A'] + \ self.caldict[current]['B'] * channel +\ self.caldict[current]['C'] * channel * channel if self.__xrdMode: self.peakTable.configure(name=peak, cal2theta=calenergy) else: self.peakTable.configure(name=peak, calenergy=calenergy) def timeCalibratorCalibration(self): self.peakSearch() # now we should have a list of peaks and the proper data to fit if 'Periodic Gaussians' not in self.specfit.theorylist: self.specfit.importfun("SpecfitFunctions.py") self.specfit.settheory('Periodic Gaussians') self.specfit.setbackground('Constant') fitconfig = {} fitconfig.update(self.specfit.fitconfig) fitconfig['WeightFlag'] = 1 fitconfig['McaMode'] = 0 self.specfit.configure(**fitconfig) try: self.specfit.estimate() except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error on estimate: %s" % sys.exc_info()[1]) msg.exec_() return try: self.specfit.startfit() except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error on Fit") msg.exec_() return npeaks = 0 delta = 0.0 peak0 = 0.0 for i in range(len(self.specfit.paramlist)): name = self.specfit.paramlist[i]['name'] if name == "Delta1": delta = self.specfit.paramlist[i]['fitresult'] elif name == 'N1': npeaks = self.specfit.paramlist[i]['fitresult'] elif name == 'Position1': peak0 = self.specfit.paramlist[i]['fitresult'] else: continue if (npeaks < 2) or (delta==0): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Less than two peaks found") msg.exec_() return d = DoubleDialog(self, text='Enter peak separation in time:') d.setWindowTitle('Time calibration') ret = d.exec_() if ret != qt.QDialog.Accepted: return text = str(d.lineEdit.text()) if not len(text): deltat = 0.0 else: deltat = float(text) if (deltat == 0): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid peak separation %g" % deltat) msg.exec_() return return peak0, npeaks, delta, deltat def getTOFEnergy(self, x, calibration = None): if calibration is None: current = self.current A = self.caldict[current]['A'] B = self.caldict[current]['B'] C = self.caldict[current]['C'] else: A = calibration[0] B = calibration[1] C = calibration[2] return C + A / ((x - B) * (x - B)) def calculateTOF(self, usedpeaks): """ The calibration has the form: A E = Vret + --------- (x - B)^2 and Vret is given as input by the user. """ npeaks = len(usedpeaks) if npeaks < 2: return ch0, e0 = usedpeaks[0] ch1, e1 = usedpeaks[1] Vret = float(self.caldict[self.current]['C']) fixed = self.caldict[self.current]['vfix'] #calculate B Eterm = (e0 - Vret)/(e1 - Vret) a = Eterm - 1.0 b = -2 * (Eterm * ch0 - ch1) c = Eterm * ch0 * ch0 - ch1 * ch1 # I should check if b^2 - 4ac is less than zero # and I have to choose the appropriate sign B = 0.5 * (-b + numpy.sqrt(b * b - 4.0 * a * c))/a #calculate A A = (e0 - Vret) * (ch0 - B) * (ch0 - B) #refine if more than three peaks if npeaks > 3: parameters = numpy.array([A, B, Vret]) x = numpy.arange(npeaks * 1.0) y = numpy.arange(npeaks * 1.0) for i in range(npeaks): x[i] = usedpeaks[i][0] y[i] = usedpeaks[i][1] try: codes = numpy.zeros((3,3), numpy.float) if fixed: codes[0,2] = Gefit.CFIXED fittedpar, chisq, sigmapar = Gefit.LeastSquaresFit(self.functionTOF, parameters, xdata=x, ydata=y, constrains=codes, model_deriv=self.functionTOFDerivative) if chisq != None: A= fittedpar[0] B= fittedpar[1] Vret= fittedpar[2] except: msg=qt.QMessageBox(self.AText) msg.setWindowTitle(sys.exc_info()[0]) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error on fit:\n%s" % sys.exc_info()[1]) msg.exec_() return (A, B, Vret) def functionTOF(self, param, x): A = param[0] B = param[1] C = param[2] return C + A / ((x - B) * (x - B)) def functionTOFDerivative(self, param, index, x): A = param[0] B = param[1] if index == 0: return self.functionTOF([1.0, B, 0.0], x) if index == 1: return A * pow((x-B), -3) if index == 2: return numpy.ones(x.shape, numpy.float) def calculate(self, usedpeaks, order=1): """ used peaks has the form [[x0,e0],[x1,e1],...] """ if order == "TOF": return self.calculateTOF(usedpeaks) if len(usedpeaks) == 1: if (usedpeaks[0][0] - 0.0) > 1.0E-20: return [0.0,usedpeaks[0][1]/usedpeaks[0][0],0.0] else: if DEBUG: print("Division by zero") current = self.current return [self.caldict[current]['A'], self.caldict[current]['B'], self.caldict[current]['C']] if (order > 1) and (len(usedpeaks) == 2): usedpeaks.append([0.0,0.0]) usedarray = numpy.array(usedpeaks).astype(numpy.float) energy = usedarray[:,1] channel= usedarray[:,0] if order < 2: X = numpy.array([numpy.ones(len(channel)), channel]) else: X= numpy.array([numpy.ones(len(channel)), channel, channel*channel]) TX = numpy.transpose(X) XTX= numpy.dot(X, TX) INV= inverse(XTX) PC = numpy.dot(energy, TX) C = numpy.dot(PC, INV) if order==1: result= tuple(C.tolist())+(0.,) else: result= tuple(C.tolist()) return result def getdict(self): print("DEPRECATED. Use getDict") return self.getDict() def getDict(self): ddict = {} ddict.update(self.caldict) return ddict class PeakSearchParameters(qt.QWidget): def __init__(self, parent=None, name="", specfit=None, config=None, searchbutton=1, fl=0): if QTVERSION < '4.0.0': qt.QWidget.__init__(self, parent, name, fl) self.setCaption(name) else: qt.QWidget.__init__(self, parent) self.setWindowTitle(name) if specfit is None: self.specfit = Specfit.Specfit() else: specfit = specfit if config is None: config=self.specfit.fitconfig if "AutoYscaling" in config: autoscaling = config["AutoYscaling"] else: autoscaling = 0 self.searchButtonFlag = searchbutton parameters= { "FwhmPoints": config["FwhmPoints"], "Sensitivity": config["Sensitivity"], "Yscaling": config["Yscaling"], "AutoYscaling": autoscaling, "AutoFwhm": 0 } self.build() self.setParameters(parameters) def build(self): if 1: if QTVERSION < '4.0.0': layout= qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) # --- parameters parf= qt.QHGroupBox(self) parf.setTitle('Search Parameters') parf.setAlignment(qt.Qt.AlignHCenter) parw= qt.QWidget(parf) else: layout= qt.QVBoxLayout(self) if qt.QDesktopWidget().height() < LOW_HEIGHT_THRESHOLD: lowHeight = True else: lowHeight = False if lowHeight: layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) # --- parameters parf= qt.QGroupBox(self) parf.layout = qt.QVBoxLayout(parf) parf.setTitle('Search Parameters') parf.setAlignment(qt.Qt.AlignHCenter) parw= qt.QWidget(parf) parf.layout.addWidget(parw) else: parw = self if QTVERSION < '4.0.0': if self.searchButtonFlag: grid= qt.QGridLayout(parw, 4, 3) else: grid= qt.QGridLayout(parw, 3, 3) else: grid= qt.QGridLayout(parw) if lowHeight: grid.setContentsMargins(0, 0, 0, 0) grid.setSpacing(2) lab= qt.QLabel("Sensitivity", parw) grid.addWidget(lab, 0, 0, qt.Qt.AlignLeft) lab= qt.QLabel("Fwhm (pts)", parw) grid.addWidget(lab, 1, 0, qt.Qt.AlignLeft) lab= qt.QLabel("Yscaling", parw) grid.addWidget(lab, 2, 0, qt.Qt.AlignLeft) self.sensitivityText= MyQLineEdit(parw) grid.addWidget(self.sensitivityText, 0, 1) self.fwhmText= MyQLineEdit(parw) grid.addWidget(self.fwhmText, 1, 1) self.yscalingText= MyQLineEdit(parw) grid.addWidget(self.yscalingText, 2, 1) self.fwhmAuto= qt.QCheckBox("Auto", parw) self.fwhmAuto.toggled[bool].connect(self.__fwhmToggled) grid.addWidget(self.fwhmAuto, 1, 2, qt.Qt.AlignLeft) self.yscalingAuto= qt.QCheckBox("Auto", parw) self.yscalingAuto.toggled[bool].connect(self.__yscalingToggled) grid.addWidget(self.yscalingAuto, 2, 2, qt.Qt.AlignLeft) if self.searchButtonFlag: self.searchButton = qt.QPushButton(parw) self.searchButton.setText('Search') grid.addWidget(self.searchButton, 3, 1) self.searchButton.setAutoDefault(0) layout.addWidget(parf) text = "Enter a positive number above 2.0\n" text += "A higher number means a lower sensitivity." self.sensitivityText.setToolTip(text) text = "Enter a positive integer." self.fwhmText.setToolTip(text) text = "If your data are averaged or normalized,\n" text += "enter the scaling factor for your data to\n" text += "follow a normal distribution." self.yscalingText.setToolTip(text) for w in [self.sensitivityText, self.fwhmText, self.yscalingText]: validator = qt.QDoubleValidator(w) w.setValidator(validator) def setParameters(self, pars): self.sensitivityText.setText(str(pars["Sensitivity"])) self.fwhmText.setText(str(pars["FwhmPoints"])) self.yscalingText.setText(str(pars["Yscaling"])) self.fwhmAuto.setChecked(pars["AutoFwhm"]) self.yscalingAuto.setChecked(pars["AutoYscaling"]) #self.specfit.configure(pars) def getParameters(self): pars= {} pars["Sensitivity"]= float(str(self.sensitivityText.text())) pars["FwhmPoints"]= float(str(self.fwhmText.text())) pars["Yscaling"]= float(str(self.yscalingText.text())) pars["AutoFwhm"]= self.fwhmAuto.isChecked() pars["AutoYscaling"]= self.yscalingAuto.isChecked() self.specfit.configure(**pars) return pars def __fwhmToggled(self, on): if on: self.fwhmText.setReadOnly(1) else: self.fwhmText.setReadOnly(0) def __yscalingToggled(self, on): if on: self.yscalingText.setReadOnly(1) else: self.yscalingText.setReadOnly(0) class CalibrationParameters(qt.QWidget): sigCalibrationParametersSignal = qt.pyqtSignal(object) def __init__(self, parent=None, name="", calname="", caldict = {},fl=0, xrd=False): if QTVERSION < '4.0.0': qt.QWidget.__init__(self, parent, name, fl) self.setCaption(name) else: qt.QWidget.__init__(self, parent) self.__xrdMode = xrd self.caldict=caldict if calname not in self.caldict.keys(): self.caldict[calname] = {} self.caldict[calname]['order'] = 1 self.caldict[calname]['A'] = 0.0 self.caldict[calname]['B'] = 1.0 self.caldict[calname]['C'] = 0.0 self.currentcal = calname self.build() self.setParameters(self.caldict[calname]) self.connections() def build(self): layout= qt.QHBoxLayout(self) if qt.QDesktopWidget().height() < LOW_HEIGHT_THRESHOLD: layout.setContentsMargins(0, 0, 0, 0) parw = self lab= qt.QLabel("Order:", parw) if QTVERSION < '4.0.0': self.orderbox = SimpleComboBox(parw, options=['1st','2nd']) else: if self.__xrdMode: self.orderbox = SimpleComboBox(parw, options=['1st','2nd']) else: self.orderbox = SimpleComboBox(parw, options=['1st','2nd','TOF', 'ID18']) layout.addWidget(lab) layout.addWidget(self.orderbox) lab= qt.QLabel("A:", parw) #self.AText= qt.QLineEdit(parw) self.AText= MyQLineEdit(parw) layout.addWidget(lab) layout.addWidget(self.AText) lab= qt.QLabel("B:", parw) self.BText= MyQLineEdit(parw) layout.addWidget(lab) layout.addWidget(self.BText) self.CLabel= qt.QLabel("C:", parw) layout.addWidget(self.CLabel) self.CText= MyQLineEdit(parw) if QTVERSION > '4.0.0': self.CFixed = qt.QCheckBox(self) self.CFixed.setText('Fixed') self.CFixed.setChecked(True) layout.addWidget(self.CFixed) self.CFixed.hide() layout.addWidget(self.CText) if 0: self.savebut= qt.QPushButton(parw) self.savebut.setText("Add as") else: lab = qt.QLabel("Add as", parw) layout.addWidget(lab) self.savebox = SimpleComboBox(parw, options=self.caldict.keys()) layout.addWidget(self.savebox) self.savebox.setEditable(1) self.savebox.setDuplicatesEnabled(0) def connections(self): self.AText.editingFinished[()].connect(self._Aslot) self.BText.editingFinished[()].connect(self._Bslot) self.CText.editingFinished[()].connect(self._Cslot) self.CFixed.clicked.connect(self._CFixSlot) self.orderbox.activated[str].connect(self.__orderbox) self.savebox.activated[str].connect(self.__savebox) def setParameters(self, pars): self.AText.setText("%.4g" % pars["A"]) self.BText.setText("%.4g" % pars["B"]) self.CText.setText("%.4g" % pars["C"]) if pars['order'] != 1: if pars['order'] == 'TOF': self.orderbox.setCurrentIndex(2) else: self.orderbox.setCurrentIndex(1) self.CText.setReadOnly(0) else: self.orderbox.setCurrentIndex(0) self.CText.setReadOnly(1) self.caldict[self.currentcal]["A"] = pars["A"] self.caldict[self.currentcal]["B"] = pars["B"] self.caldict[self.currentcal]["C"] = pars["C"] self.caldict[self.currentcal]["order"] = pars["order"] def getcurrentdict(self): return self.caldict[self.currentcal] def getcurrentcal(self): return self.current def getdict(self): print("DEPRECATED. Use getDict") return self.getDict() def getDict(self): return self.caldict def _CFixSlot(self): self.__orderbox(QString('TOF')) def __orderbox(self,qstring): qstring = str(qstring) if qstring == "1st": self.caldict[self.currentcal]['order'] = 1 self.CText.setText("0.0") self.CText.setReadOnly(1) self.CLabel.setText("C:") self.caldict[self.currentcal]['C'] = 0.0 if QTVERSION > '4.0.0': self.CFixed.hide() elif qstring == "TOF": self.caldict[self.currentcal]['order'] = 'TOF' self.caldict[self.currentcal]['vfix'] = self.CFixed.isChecked() self.CLabel.setText("Vr:") self.CText.setReadOnly(0) self.CFixed.show() elif qstring == "ID18": self.caldict[self.currentcal]['order'] = 'ID18' self.CLabel.setText("C:") self.CText.setReadOnly(1) if QTVERSION > '4.0.0': self.CFixed.hide() else: self.caldict[self.currentcal]['order'] = 2 self.CLabel.setText("C:") self.CText.setReadOnly(0) if QTVERSION > '4.0.0': self.CFixed.hide() self.myslot(event='order') def __savebox(self,qstring): key = str(qstring) if key not in self.caldict.keys(): self.caldict[key] = {} if QTVERSION < '4.0.0': self.caldict[key]['order'] = self.orderbox.currentItem()+1 else: self.caldict[key]['order'] = self.orderbox.currentIndex()+1 if self.caldict[key]['order'] == 3: self.caldict[key]['order'] = "TOF" self.caldict[key]['A'] = float(str(self.AText.text())) self.caldict[key]['B'] = float(str(self.BText.text())) self.caldict[key]['C'] = float(str(self.CText.text())) self.currentcal = key self.myslot(event='savebox') def _Aslot(self): qstring = self.AText.text() try: value = float(str(qstring)) self.caldict[self.currentcal]['A'] = value self.myslot(event='coeff') except: msg=qt.QMessageBox(self.AText) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") if QTVERSION < '4.0.0': msg.exec_loop() else: msg.exec_() self.AText.setFocus() def _Bslot(self): qstring = self.BText.text() try: value = float(str(qstring)) self.caldict[self.currentcal]['B'] = value self.myslot(event='coeff') except: msg=qt.QMessageBox(self.BText) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") if QTVERSION < '4.0.0': msg.exec_loop() else: msg.exec_() self.BText.setFocus() def _Cslot(self): qstring = self.CText.text() try: value = float(str(qstring)) self.caldict[self.currentcal]['C'] = value self.myslot(event='coeff') except: msg=qt.QMessageBox(self.CText) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") if QTVERSION < '4.0.0': msg.exec_loop() else: msg.exec_() self.CText.setFocus() def myslot(self,*var,**kw): if DEBUG: print("Cal Parameters Slot ",var,kw) print(self.caldict[self.currentcal]) if 'event' in kw: ddict={} if (kw['event'] == 'order'): ddict={} ddict['event'] = "order" ddict['calname'] = self.currentcal ddict['caldict'] = self.caldict if (kw['event'] == 'coeff'): ddict={} ddict['event'] = "coeff" ddict['calname' ] = self.currentcal ddict['caldict'] = self.caldict if (kw['event'] == 'savebox'): ddict={} ddict['event'] = "savebox" ddict['calname' ] = self.currentcal ddict['caldict'] = self.caldict self.sigCalibrationParametersSignal.emit(ddict) class MyQLineEdit(qt.QLineEdit): def __init__(self,parent=None,name=None): qt.QLineEdit.__init__(self,parent) if QTVERSION > '4.0.0': self.setAutoFillBackground(True) def setPaletteBackgroundColor(self, color): if QTVERSION < '4.0.0': qt.QLineEdit.setPaletteBackgroundColor(self,color) else: palette = qt.QPalette() role = self.backgroundRole() palette.setColor(role,color) self.setPalette(palette) def focusInEvent(self,event): if QTVERSION < '4.0.0': self.backgroundcolor = self.paletteBackgroundColor() self.setPaletteBackgroundColor(qt.QColor('yellow')) qt.QLineEdit.focusInEvent(self, event) def focusOutEvent(self,event): self.setPaletteBackgroundColor(qt.QColor('white')) qt.QLineEdit.focusOutEvent(self, event) class DoubleDialog(qt.QDialog): def __init__(self, parent=None, text=None, value=None): qt.QDialog.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) label = qt.QLabel(self) if text is None: text = "" label.setText(text) self.lineEdit = qt.QLineEdit(self) validator = qt.QDoubleValidator(self.lineEdit) self.lineEdit.setValidator(validator) if value is not None: self.lineEdit.setValue('%g' % value) self.okButton = qt.QPushButton(self) self.okButton.setText('OK') self.cancelButton = qt.QPushButton(self) self.cancelButton.setText('Cancel') self.okButton.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) self.cancelButton.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) self.mainLayout.addWidget(label, 0, 0) self.mainLayout.addWidget(self.lineEdit, 0, 1) self.mainLayout.addWidget(self.okButton, 1, 0) self.mainLayout.addWidget(self.cancelButton, 1, 1) self.okButton.clicked.connect(self.accept) self.cancelButton.clicked.connect(self.reject) class InputLine(qt.QDialog): def __init__(self,parent ,name = "Peak Parameters",modal=1, peakpars={}): qt.QDialog.__init__(self, parent) self.setModal(modal) self.setWindowTitle(name) self.resize(600,200) layout = qt.QVBoxLayout(self) self.table = PeakTableWidget.PeakTableWidget(self) layout.addWidget(self.table) self.bottom = qt.QWidget(self) self.bottom.layout = qt.QHBoxLayout(self.bottom) layout.addWidget(self.bottom) self.bottom.layout.addWidget(qt.HorizontalSpacer(self.bottom)) okbutton = qt.QPushButton(self.bottom) self.bottom.layout.addWidget(okbutton) okbutton.setText('OK') cancelbutton = qt.QPushButton(self.bottom) cancelbutton.setText('Cancel') self.bottom.layout.addWidget(cancelbutton) okbutton.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) cancelbutton.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) self.bottom.layout.addWidget(qt.HorizontalSpacer(self.bottom)) cancelbutton.clicked.connect(self.reject) okbutton.clicked.connect(self.accept) if 'name' in peakpars: peakname = peakpars['name'] else: peakname = 'PEAK 1' if 'number' in peakpars: number = peakpars['number'] else: number = 1 if 'channel' in peakpars: channel = peakpars['channel'] else: channel = 0 if 'element' in peakpars: element = peakpars['element'] else: element = '-' if 'elementline' in peakpars: elementline = peakpars['elementline'] else: elementline = '-' if elementline == '-': if 'setenergy' in peakpars: setenergy = peakpars['setenergy'] else: setenergy = '0.0' if 'use' in peakpars: use = peakpars['use'] else: use = 1 if 'calenergy' in peakpars: calenergy = peakpars['calenergy'] else: calenergy = "" self.table.newpeakline(peakname, 1) self.peakname = peakname self.table.configure(name=peakname, number=number, channel=channel, element=element, elementline=elementline, setenergy=setenergy, use=use, calenergy=calenergy) def getdict(self): print("DEPRECATED. Use getDict") return self.getDict() def getDict(self): ddict=self.table.getDict(self.peakname) return ddict class McaCalCopy(qt.QDialog): def __init__(self,parent=None ,name = None,modal=1,fl=0, legend=None,sourcecal=None,currentcal=None,caldict=None): #fl=qt.Qt.WDestructiveClose): if legend is None: legend= 'Active Curve' name = "Enter Calibration for %s" % legend if QTVERSION < '4.0.0': qt.QDialog.__init__(self, parent, name, modal, fl) self.setCaption(name) else: qt.QDialog.__init__(self, parent) self.setWindowTitle(name) self.setModal(modal) layout0 = qt.QVBoxLayout(self) layout0.setContentsMargins(0, 0, 0, 0) layout0.setSpacing(0) currentcal = legend if sourcecal is None: sourcecal = [0.0,1.0,0.0] if caldict is None: caldict = {} self.caldict = caldict self.currentcal = currentcal if currentcal in caldict.keys(): currentval = [caldict[currentcal]['A'], caldict[currentcal]['B'], caldict[currentcal]['C']] else: currentval = [0.0,1.0,0.0] # --- source --- if QTVERSION < '4.0.0': sgroup = qt.QHGroupBox(self) else: sgroup = qt.QGroupBox(self) sgrouplayout = qt.QHBoxLayout(sgroup) sgrouplayout.setContentsMargins(0, 0, 0, 0) sgrouplayout.setSpacing(0) sgroup.setTitle('Calibration from Source (Read Only)') sgroup.setAlignment(qt.Qt.AlignHCenter) layout0.addWidget(sgroup) w = qt.QWidget(sgroup) wlayout= qt.QVBoxLayout(w) wlayout.setContentsMargins(0, 0, 0, 0) wlayout.setSpacing(0) if QTVERSION < '4.0.0': pass else: sgroup.layout().addWidget(w) """ l = qt.QHBox(w) qt.HorizontalSpacer(l) sourcelabel = qt.QLabel(l) qt.HorizontalSpacer(l) f = sourcelabel.font() f.setBold(1) sourcelabel.setText('Calibration from Source') """ lines = qt.QWidget(w) lineslayout = qt.QHBoxLayout(lines) lineslayout.setContentsMargins(0, 0, 0, 0) lineslayout.setSpacing(0) asl=qt.QLabel(lines) asl.setText('A:') asl.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) as_=qt.QLineEdit(lines) as_.setReadOnly(1) as_.setText("%.4g" % sourcecal[0]) bsl=qt.QLabel(lines) bsl.setText('B:') bsl.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) bs=qt.QLineEdit(lines) bs.setReadOnly(1) bs.setText("%.4g" % sourcecal[1]) csl=qt.QLabel(lines) csl.setText('C:') csl.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) cs=qt.QLineEdit(lines) cs.setReadOnly(1) cs.setText("%.4g" % sourcecal[2]) lineslayout.addWidget(asl) lineslayout.addWidget(as_) lineslayout.addWidget(bsl) lineslayout.addWidget(bs) lineslayout.addWidget(csl) lineslayout.addWidget(cs) wlayout.addWidget(lines) # --- PyMca/Current --- if QTVERSION < '4.0.0': cgroup = qt.QHGroupBox(self) else: cgroup = qt.QGroupBox(self) cgrouplayout = qt.QHBoxLayout(cgroup) cgrouplayout.setContentsMargins(0, 0, 0, 0) cgrouplayout.setSpacing(0) layout0.addWidget(cgroup) fontc = cgroup.font() fontc.setBold(1) cgroup.setFont(fontc) cgroup.setTitle('Enter New Calibration (PyMca)') cgroup.setAlignment(qt.Qt.AlignHCenter) wc = qt.QWidget(cgroup) wclayout = qt.QVBoxLayout(wc) wclayout.setContentsMargins(0, 0, 0, 0) wclayout.setSpacing(3) if QTVERSION < '4.0.0': pass else: cgrouplayout.addWidget(wc) linec = qt.QWidget(wc) lineclayout = qt.QHBoxLayout(linec) lineclayout.setContentsMargins(0, 0, 0, 0) lineclayout.setSpacing(0) wclayout.addWidget(linec) acl=qt.QLabel(linec) #acl.setFont(font) acl.setText('A:') acl.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) self.AText=MyQLineEdit(linec) self.AText.setReadOnly(0) self.AText.setText("%.4g" % currentval[0]) bcl=qt.QLabel(linec) #bcl.setFont(font) bcl.setText('B:') bcl.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) self.BText=MyQLineEdit(linec) self.BText.setReadOnly(0) self.BText.setText("%.4g" % currentval[1]) ccl=qt.QLabel(linec) #ccl.setFont(font) ccl.setText('C:') ccl.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) self.CText=MyQLineEdit(linec) self.CText.setReadOnly(0) self.CText.setText("%.4g" % currentval[2]) lineclayout.addWidget(acl) lineclayout.addWidget(self.AText) lineclayout.addWidget(bcl) lineclayout.addWidget(self.BText) lineclayout.addWidget(ccl) lineclayout.addWidget(self.CText) self.AText.editingFinished[()].connect(self._Aslot) self.BText.editingFinished[()].connect(self._Bslot) self.CText.editingFinished[()].connect(self._Cslot) # --- available for copy --- if len(caldict.keys()): wid = qt.QWidget(wc) wfont = wid.font() wfont.setBold(0) wid.setFont(wfont) layout2=qt.QHBoxLayout(wid) layout2.setContentsMargins(0, 0, 0, 0) layout2.setSpacing(3) copybut = qt.QPushButton(wid) copybut.setText('Copy From') copybut.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed,qt.QSizePolicy.Fixed)) copybut.clicked.connect(self.__copybuttonclicked) self.combo = SimpleComboBox(wid,options=caldict.keys()) self.combo.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Expanding,qt.QSizePolicy.Fixed)) layout2.addWidget(copybut) layout2.addWidget(self.combo) wclayout.addWidget(wid) # --- dialog buttons --- bottom = qt.QWidget(self) bottomlayout = qt.QHBoxLayout(bottom) bottomlayout.setContentsMargins(0, 0, 0, 0) bottomlayout.setSpacing(0) layout0.addWidget(bottom) bottomlayout.addWidget(qt.HorizontalSpacer(bottom)) okbutton = qt.QPushButton(bottom) okbutton.setText('OK') bottomlayout.addWidget(okbutton) cancelbutton = qt.QPushButton(bottom) cancelbutton.setText('Cancel') bottomlayout.addWidget(cancelbutton) okbutton.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) cancelbutton.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed)) bottomlayout.addWidget(qt.HorizontalSpacer(bottom)) cancelbutton.clicked.connect(self.reject) okbutton.clicked.connect(self.accept) self.AText.setFocus() def _Aslot(self): qstring = self.AText.text() try: float(str(qstring)) except: msg=qt.QMessageBox(self.AText) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") msg.exec_() self.AText.setFocus() def _Bslot(self): qstring = self.BText.text() try: float(str(qstring)) except: msg=qt.QMessageBox(self.BText) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") msg.exec_() self.BText.setFocus() def _Cslot(self): qstring = self.CText.text() try: float(str(qstring)) except: msg=qt.QMessageBox(self.CText) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") msg.exec_() self.CText.setFocus() def __copybuttonclicked(self): item, text = self.combo.getCurrent() self.AText.setText("%.7g" % self.caldict[text]['A']) self.BText.setText("%.7g" % self.caldict[text]['B']) self.CText.setText("%.7g" % self.caldict[text]['C']) def getdict(self): print("DEPRECATED. Use getDict") return self.getDict() def getDict(self): ddict = {} ddict[self.currentcal] = {} ddict[self.currentcal]['A'] = float(str(self.AText.text())) ddict[self.currentcal]['B'] = float(str(self.BText.text())) ddict[self.currentcal]['C'] = float(str(self.CText.text())) if ddict[self.currentcal]['C'] != 0.0: ddict[self.currentcal]['order'] = 2 else: ddict[self.currentcal]['order'] = 1 self.caldict.update(ddict) return copy.deepcopy(self.caldict) class SimpleComboBox(qt.QComboBox): def __init__(self,parent = None,name = None,fl = 0,options=['1','2','3']): qt.QComboBox.__init__(self,parent) self.setOptions(options) def setOptions(self,options=['1','2','3']): self.clear() for item in options: self.addItem(QString(item)) def getCurrent(self): return self.currentIndex(),str(self.currentText()) def test(x,y,legend): app = qt.QApplication(args) demo = McaCalWidget(x=x,y=y,modal=1,legend=legend) ret=demo.exec_() if ret == qt.QDialog.Accepted: ddict=demo.getDict() else: ddict={} print(" output = ", ddict) demo.close() del demo #app.exec_loop() if __name__ == '__main__': import os import getopt from PyMca5 import specfilewrapper as specfile options = 'f:s:o' longoptions = ['file=','scan=','pkm=', 'output=','linear=','strip=', 'maxiter=','sumflag=','plotflag='] opts, args = getopt.getopt( sys.argv[1:], options, longoptions) inputfile = None scan = None pkm = None scankey = None plotflag = 0 strip = 1 linear = 0 for opt,arg in opts: if opt in ('-f','--file'): inputfile = arg if opt in ('-s','--scan'): scan = arg if opt in ('--pkm'): pkm = arg if opt in ('--linear'): linear = int(float(arg)) if opt in ('--strip'): strip = int(float(arg)) if opt in ('--maxiter'): maxiter = int(float(arg)) if opt in ('--sum'): sumflag = int(float(arg)) if opt in ('--plotflag'): plotflag = int(float(arg)) if len(sys.argv) > 1: inputfile = sys.argv[1] if inputfile is None: from PyMca5 import PyMcaDataDir inputfile = os.path.join(PyMcaDataDir.PYMCA_DATA_DIR, 'XRFSpectrum.mca') sf=specfile.Specfile(inputfile) if scankey is None: scan=sf[len(sf) - 1] else: scan=sf.select(scankey) nbmca=scan.nbmca() mcadata=scan.mca(nbmca) y=numpy.array(mcadata).astype(numpy.float) x=numpy.arange(len(y)).astype(numpy.float) test(x,y,inputfile) PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/EnergyTable.py0000644000276300001750000006144213136054446022550 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy from . import QXTube from PyMca5.PyMcaCore import PyMcaDirs from PyMca5.PyMcaGui import PyMca_Icons as Icons from PyMca5.PyMcaGui import PyMcaFileDialogs qt = QXTube.qt QTVERSION = qt.qVersion() DEBUG=0 class EnergyTab(qt.QWidget): def __init__(self,parent=None, name="Energy Tab"): qt.QWidget.__init__(self, parent) layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(4) hbox = qt.QWidget(self) self.hbox = qt.QHBoxLayout(hbox) self.hbox.setContentsMargins(0, 0, 0, 0) self.hbox.setSpacing(0) self.tube = QXTube.QXTube(hbox) self.table = EnergyTable(hbox) self.hbox.addWidget(self.tube) self.hbox.addWidget(self.table) self.tube.plot() self.tube.hide() self.outputFilter = None self.inputDir = None self.outputDir = None self.__calculating = 0 self.tubeActionsBox = qt.QWidget(self) actionsLayout = qt.QHBoxLayout(self.tubeActionsBox) actionsLayout.setContentsMargins(0, 0, 0, 0) actionsLayout.setSpacing(0) #tube setup button self.tubeButton = qt.QPushButton(self.tubeActionsBox) self.tubeButton.setText("Open X-Ray Tube Setup") actionsLayout.addWidget(self.tubeButton, 1) #load new energy table self.tubeLoadButton = qt.QPushButton(self.tubeActionsBox) self.tubeLoadButton.setText("Load Table") actionsLayout.addWidget(self.tubeLoadButton, 0) #save seen energy table self.tubeSaveButton = qt.QPushButton(self.tubeActionsBox) self.tubeSaveButton.setText("Save Table") actionsLayout.addWidget(self.tubeSaveButton, 0) layout.addWidget(self.tubeActionsBox) layout.addWidget(hbox) self.tubeButton.clicked.connect(self.tubeButtonClicked) self.tubeLoadButton.clicked.connect(self.loadButtonClicked) self.tubeSaveButton.clicked.connect(self.saveButtonClicked) self.tube.sigQXTubeSignal.connect(self.__tubeUpdated) def tubeButtonClicked(self): if self.tube.isHidden(): self.tube.show() self.tubeButton.setText("Close X-Ray Tube Setup") self.tubeLoadButton.hide() self.tubeSaveButton.hide() else: self.tube.hide() self.tubeLoadButton.show() self.tubeSaveButton.show() self.tubeButton.setText("Open X-Ray Tube Setup") def loadButtonClicked(self): if self.inputDir is None: if self.inputDir is not None: self.inputDir = self.outputDir else: self.inputDir = PyMcaDirs.inputDir wdir = self.inputDir if not os.path.exists(wdir): wdir = os.getcwd() filename = PyMcaFileDialogs.getFileList(self, filetypelist=["Energy table files (*.csv)"], mode="OPEN", message="Choose energy table file", currentdir=wdir, single=True) if len(filename): filename = qt.safe_str(filename[0]) if len(filename): try: self.loadEnergyTableParameters(filename) self.inputDir = os.path.dirname(filename) PyMcaDirs.inputDir = self.inputDir except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error loading energy table: %s" % (sys.exc_info()[1])) msg.exec_() def loadEnergyTableParameters(self, filename): if sys.platform == "win32" and (sys.version < "3.0.0"): ffile = open(filename, "rb") else: ffile = open(filename, "r") lines = ffile.read() ffile.close() lines = lines.replace("\r","\n") lines = lines.replace('\n\n',"\n") lines = lines.replace(";"," ") lines = lines.replace("\t"," ") lines = lines.replace('"',"") lines = lines.split("\n") if (len(lines) == 1) or\ ((len(lines) == 2) and (len(lines[1])==0)): #clear table ddict={} ddict['energylist'] = [None] ddict['weightlist'] = [1.0] ddict['flaglist'] = [1] ddict['scatterlist'] = [1] else: ddict={} ddict['energylist'] = [] ddict['weightlist'] = [] ddict['flaglist'] = [] ddict['scatterlist'] = [] for i in range(1, len(lines)): line = lines[i] if not len(line): continue ene, weight, useflag, scatterflag = map(float, line.split(" ")) if ene > 0: ddict['energylist'].append(ene) else: ddict['energylist'].append(None) ddict['weightlist'].append(weight) ddict['flaglist'].append(int(useflag)) ddict['scatterlist'].append(int(scatterflag)) energylist, weightlist, flaglist, scatterlist = self.table.getParameters() lold = len(energylist) lnew = len(ddict['energylist']) if lold > lnew: energylist = [None] * lold weightlist = [0.0] * lold flaglist = [0] * lold scatterlist = [0] * lold energylist[0:lnew] = ddict['energylist'][0:lnew] weightlist[0:lnew] = ddict['weightlist'][0:lnew] flaglist[0:lnew] = ddict['flaglist'][0:lnew] scatterlist[0:lnew] = ddict['scatterlist'][0:lnew] self.table.setParameters(energylist, weightlist, flaglist, scatterlist) else: self.table.setParameters(ddict["energylist"], ddict["weightlist"], ddict["flaglist"], ddict["scatterlist"]) def saveButtonClicked(self): energylist, weightlist, flaglist, scatterlist = self.table.getParameters() if self.outputDir is None: if self.inputDir is not None: self.outputDir = self.inputDir else: self.outputDir = PyMcaDirs.outputDir wdir = self.outputDir format_list = ['";"-separated CSV *.csv', '","-separated CSV *.csv', '"tab"-separated CSV *.csv'] if self.outputFilter is None: self.outputFilter = format_list[0] outfile, filterused = PyMcaFileDialogs.getFileList(self, filetypelist=format_list, mode="SAVE", message="Output File Selection", currentdir=wdir, currentfilter=self.outputFilter, getfilter=True, single=True) if len(outfile): outputFile = qt.safe_str(outfile[0]) else: return self.outputFilter = qt.safe_str(filterused) filterused = self.outputFilter.split() try: self.outputDir = os.path.dirname(outputFile) PyMcaDirs.outputDir = os.path.dirname(outputFile) except: self.outputDir = "." if not outputFile.endswith('.csv'): outputFile += '.csv' #always overwrite if os.path.exists(outputFile): os.remove(outputFile) try: if sys.version < "3.0.0": ffile=open(outputFile,'wb') else: ffile=open(outputFile,'w') except IOError: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Input Output Error: %s" % (sys.exc_info()[1])) msg.exec_() return if "," in filterused[0]: csv = "," elif ";" in filterused[0]: csv = ";" else: csv = "\t" ffile.write('"energy"%s"weight"%s"flag"%s"scatter"\n' % (csv, csv, csv)) #write the scatter lines in first instance alreadysaved = [] for i in range(len(energylist)): if (energylist[i] is not None) and \ (scatterlist[i] == 1): ffile.write("%f%s%f%s%d%s%d\n" % \ (energylist[i], csv, weightlist[i], csv, flaglist[i], csv, scatterlist[i])) alreadysaved.append(i) for i in range(len(energylist)): if energylist[i] is not None: if i not in alreadysaved: ffile.write("%f%s%f%s%d%s%d\n" % \ (energylist[i], csv, weightlist[i], csv, flaglist[i], csv, scatterlist[i])) ffile.close() def __tubeUpdated(self, d): if self.__calculating:return else: self.__calculating = 1 self.table.setParameters(d["energylist"], d["weightlist"], d["flaglist"], d["scatterlist"]) self.__calculating = 0 self.tubeButtonClicked() QTable = qt.QTableWidget class EnergyTable(QTable): sigEnergyTableSignal = qt.pyqtSignal(object) def __init__(self, parent=None, name="Energy Table", energylist=None, weightlist=None, flaglist=None,offset=None,scatterlist=None): QTable.__init__(self, parent) if energylist is None:energylist=[] if weightlist is None:weightlist =[] if flaglist is None:flaglist =[] if scatterlist is None:scatterlist =[] if offset is None:offset = 0 self.energyList = energylist self.weightList = weightlist self.flagList = flaglist self.offset = offset self.scatterList = scatterlist self.verticalHeader().hide() self.dataColumns = 20 if QTVERSION < '4.0.0': self.setLeftMargin(0) self.setFrameShape(qttable.QTable.NoFrame) #self.setFrameShadow(qttable.QTable.Sunken) self.setSelectionMode(qttable.QTable.Single) self.setNumCols(3 * self.dataColumns) self.setFocusStyle(qttable.QTable.FollowStyle) else: if DEBUG: print("margin") print("frame shape") print("selection mode") print("focus style") print("all of them missing") self.setColumnCount(3 * self.dataColumns) labels = [] for i in range(self.dataColumns): labels.append("Use" + i * " ") labels.append("Energy" + i * " ") labels.append("Weight" + i * " ") if QTVERSION < '4.0.0': for label in labels: self.horizontalHeader().setLabel(labels.index(label),label) else: if DEBUG: print("margin to addjust") print("focus style") self.setFrameShape(qt.QTableWidget.NoFrame) self.setSelectionMode(qt.QTableWidget.NoSelection) self.setColumnCount(len(labels)) for i in range(len(labels)): item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(labels[i],qt.QTableWidgetItem.Type) self.setHorizontalHeaderItem(i,item) self.__rows = 20 self.__build(self.dataColumns * 20) self.__disconnected = False for i in range(self.dataColumns): if DEBUG: print("column adjustment missing") self.cellChanged[int, int].connect(self.mySlot) def _itemSlot(self, *var): self.mySlot(self.currentRow(), self.currentColumn()) def __build(self,nrows=None): #self.setNumRows(int(nrows/2)) if nrows is None: nrows = self.__rows *self.dataColumns if QTVERSION < '4.0.0': self.setNumRows(int(nrows/self.dataColumns)) else: self.setRowCount(int(nrows/self.dataColumns)) if QTVERSION > '4.0.0': rheight = self.horizontalHeader().sizeHint().height() for idx in range(self.rowCount()): self.setRowHeight(idx, rheight) coloffset = 0 rowoffset = 0 for idx in range(nrows): text = "Energy %3d" % (idx) if idx >= (nrows/self.dataColumns): rowoffset= (-int(idx/self.__rows))*(nrows/self.dataColumns) coloffset= 3*int(idx/self.__rows) r = idx + rowoffset color = qt.Qt.white if len(self.scatterList): if idx < len(self.scatterList): if (self.scatterList[idx] is not None)and \ (self.scatterList[idx] != "None"): if self.scatterList[idx]:color = qt.QColor(255, 20, 147) elif idx == 0: color = qt.QColor(255, 20, 147) if QTVERSION < '4.0.0': #item= qttable.QCheckTableItem(self, text) self.viewport().setPaletteBackgroundColor(color) item= ColorQTableItem(self, text, color) self.setItem(r, 0+coloffset, item) else: item = self.cellWidget(r, 0+coloffset) if item is None: item= ColorQTableItem(self, text, color) self.setCellWidget(r, 0+coloffset, item) item.stateChanged[int].connect(self._itemSlot) else: item.setText(text) oldcolor = item.color if color != oldcolor: item.setColor(color) item.repaint(item.rect()) if idx < len(self.energyList): item.setChecked(self.flagList[idx]) if (self.energyList[idx] is not None) and \ (self.energyList[idx] != "None"): self.setText(r, 1+coloffset, "%f" % self.energyList[idx]) else: self.setText(r, 1+coloffset,"") else: item.setChecked(False) self.setText(r, 1+coloffset,"") if idx < len(self.weightList): self.setText(r, 2+coloffset,"%f" % self.weightList[idx]) else: self.setText(r, 2+coloffset,"") def setParameters(self, energylist, weightlist, flaglist, scatterlist=None): if isinstance(energylist, numpy.ndarray): self.energyList=energylist.tolist() elif type(energylist) != type([]): self.energyList=[energylist] else: self.energyList =energylist if isinstance(weightlist, numpy.ndarray): self.weightList=weightlist.tolist() elif type(weightlist) != type([]): self.energyList=[weightlist] else: self.weightList =weightlist if isinstance(flaglist, numpy.ndarray): self.flagList=flaglist.tolist() elif type(flaglist) != type([]): self.flagList=[flaglist] else: self.flagList =flaglist if scatterlist is None: scatterlist = numpy.zeros(len(self.energyList)).tolist() scatterlist[0] = 1 if isinstance(scatterlist, numpy.ndarray): self.scatterList=scatterlist.tolist() elif type(scatterlist) != type([]): self.scatterList=[scatterlist] else: self.scatterList =scatterlist self.__fillTable() def getParameters(self): if QTVERSION < '4.0.0': nrows = self.numRows()*self.dataColumns else: nrows = self.rowCount() * self.dataColumns coloffset = 0 rowoffset = 0 energyList = [] weightList = [] flagList = [] scatterList = [] for idx in range(nrows): if idx >= (nrows/self.dataColumns): rowoffset= (-int(idx/self.__rows))*(nrows/self.dataColumns) coloffset= 3*int(idx/self.__rows) r = idx + rowoffset if QTVERSION < '4.0.0': item = self.item(r,0+coloffset) energyflag = int(item.isChecked()) else: item = self.cellWidget(r,0+coloffset) if item is None: #this should never happen continue else: energyflag = int(item.isChecked()) if item.color == qt.Qt.white: scatterflag = 0 else: scatterflag = 1 text = str(self.text(r,1+coloffset)) text=text.replace(" ","") if len(text): try: energy = float(text) except: energyflag = 0 energy = None else: energyflag = 0 energy = None text = str(self.text(r,2+coloffset)) text=text.replace(" ","") if len(text): try: energyweight = float(text) except: energyflag = 0 energyweight= 0.0 else: energyflag = 0 energyweight = 0.0 energyList.append(energy) weightList.append(energyweight) flagList.append(energyflag) scatterList.append(scatterflag) return energyList, weightList, flagList, scatterList def __fillTable(self): self.__disconnected = True try: self.__build(max(self.__rows*self.dataColumns,len(self.energyList))) for i in range(self.dataColumns): if QTVERSION < '4.0.0': self.adjustColumn(0 + 3*i) else: if DEBUG: print("column adjustment missing") except: self.__disconnected = False raise self.__disconnected = False ddict = self._getDict() if ddict != {}: ddict['event'] = "TableFilled" ddict['row'] = 0 ddict['col'] = 0 self.sigEnergyTableSignal.emit(ddict) def mySlot(self,row,col): if self.__disconnected:return if DEBUG: print("Value changed row = %d col = %d" % (row, col)) print("Text = %s" % self.text(row,col)) if (col != 0) and (col !=3) and (col != 6) and (col != 9): try: s = str(self.text(row, col)) s=s.replace(" ","") if len(s): float(s) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Invalid Float") msg.exec_() return ddict = self._getDict() if ddict != {}: ddict['event'] = "ValueChanged" ddict['row'] = row ddict['col'] = col self.sigEnergyTableSignal.emit(ddict) def text(self, row, col): if (col % 3) in [1,2]: item = self.item(row , col) if item is not None: return item.text() else: return '' def setText(self, row, col, text): #ncol = self.columnCount() if (col % 3) in [1,2]: item = self.item(row, col) if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(row, col, item) else: item.setText(text) else: if DEBUG: print("checkbox can be called?") pass def _getDict(self): ddict ={} n = self.rowCount() ddict['energy'] = [] ddict['rate'] = [] ddict['flag'] = [] ddict['scatterflag'] = [] for i in range(n * self.dataColumns): if i >= (n*self.__rows/self.dataColumns): rowoffset= (-int(i/self.__rows))*(self.__rows) r = i + rowoffset coffset= 3*int(i/self.__rows) else: r = i coffset= 0 try: #if 1: s = str(self.text(r, 1+coffset)) s=s.replace(" ","") if len(s): ene=float(s) selfitem = self.cellWidget(r, 0+coffset) if selfitem.isChecked(): flag = 1 else: flag = 0 if selfitem.color != qt.Qt.white: scatterflag = 1 else: scatterflag = 0 s = str(self.text(r, 2+coffset)) s=s.replace(" ","") if len(s): rate = float(s) ddict['flag'].append(flag) ddict['energy'].append(ene) ddict['rate'].append(rate) ddict['scatterflag'].append(scatterflag) except: #else: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("EnergyTable: Error on energy %d" % i) msg.exec_() return {} return ddict class ColorQTableItem(qt.QCheckBox): def __init__(self, table, text, color=qt.Qt.white,bold=0): qt.QCheckBox.__init__(self, table) self.color = color self.bold = bold self.setText(text) #this is one critical line self.setAutoFillBackground(1) def setColor(self, color): self.color = color def paintEvent(self, painter): #this is the other (self.palette() is not appropriate) palette = qt.QPalette() role = self.backgroundRole() palette.setColor(role, self.color) self.setPalette(palette) return qt.QCheckBox.paintEvent(self, painter) def main(args): app=qt.QApplication(args) #tab = AttenuatorsTableWidget(None) def dummy(ddict): print("dict =",ddict) tab = EnergyTable(None) energy = numpy.arange(100.).astype(numpy.float)+ 1.5 weight = numpy.ones(len(energy), numpy.float) flag = numpy.zeros(len(energy)).tolist() scatterlist = numpy.zeros(len(energy)) scatterlist[0:10] = 1 tab.setParameters(energy, weight, flag, scatterlist) tab.sigEnergyTableSignal.connect(dummy) tab.show() app.exec_() if __name__=="__main__": main(sys.argv) PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/McaAdvancedTable.py0000644000276300001750000003063213136054446023442 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, "QString"): QString = qt.QString else: QString = str QTVERSION = qt.qVersion() DEBUG=0 QTable = qt.QTableWidget class McaTable(QTable): sigMcaTableSignal = qt.pyqtSignal(object) sigClosed = qt.pyqtSignal(object) def __init__(self, *args,**kw): QTable.__init__(self, *args) if 'labels' in kw: self.labels=[] for label in kw['labels']: self.labels.append(label) else: #self.labels=['Element','Group','Energy','Ratio','Fit Area','MCA Area','Sigma','Fwhm','Chisq'] self.labels=['Element','Group','Fit Area','Sigma','Energy','Ratio','FWHM','Chi square'] self.setColumnCount(len(self.labels)) for i in range(len(self.labels)): item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(self.labels[i], qt.QTableWidgetItem.Type) item.setText(self.labels[i]) self.setHorizontalHeaderItem(i,item) self.regionlist=[] self.regiondict={} if QTVERSION < '5.0.0': self.verticalHeader().setClickable(True) else: self.verticalHeader().setSectionsClickable(True) self.verticalHeader().sectionClicked.connect(self.__myslot) self.itemSelectionChanged.connect(self.__myslot) #self.connect(self,qt.SIGNAL("selectionChanged()"),self.__myslot) #self.setSelectionMode(qttable.QTable.SingleRow) def fillfrommca(self,result,diag=1): line=0 #calculate the number of rows nrows = 0 for group in result['groups']: nrows += 1 for peak in result[group]['peaks']: nrows += 1 for peak0 in result[group]['escapepeaks']: peak = peak0+"esc" if result[group][peak]['ratio'] > 0.0: nrows += 1 self.setRowCount(nrows) for group in result['groups']: ele,group0 = group.split() fitarea = QString("%.4e" % (result[group]['fitarea'])) sigmaarea = QString("%.2e" % (result[group]['sigmaarea'])) fields = [ele,group0,fitarea,sigmaarea] col = 0 color = qt.QColor('white') nlines = self.rowCount() if (line+1) > nlines: self.setRowCount(line+1) for i in range(len(self.labels)): if i < len(fields): item = self.item(line, col) text = fields[i] if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(line, col, item) else: item.setText(text) if hasattr(item, "setBackground"): item.setBackground(color) else: item.setBackgroundColor(color) item.setFlags(qt.Qt.ItemIsSelectable| qt.Qt.ItemIsEnabled) else: item = self.item(line, col) if item is not None: item.setText("") #self.setItem(line, col, item) col=col+1 line += 1 #Lemon Chiffon = (255,250,205) color = qt.QColor(255,250,205) for peak in result[group]['peaks']: name = peak energy = QString("%.3f" % (result[group][peak]['energy'])) ratio = QString("%.5f" % (result[group][peak]['ratio'])) area = QString("%.4e" % (result[group][peak]['fitarea'])) sigma = QString("%.2e" % (result[group][peak]['sigmaarea'])) fwhm = QString("%.3f" % (result[group][peak]['fwhm'])) chisq = QString("%.2f" % (result[group][peak]['chisq'])) if (line+1) > nlines: self.setRowCount(line+1) fields = [name,area,sigma,energy,ratio,fwhm,chisq] col = 1 for field in fields: item = self.item(line, col) text = field if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) self.setItem(line, col, item) else: item.setText(text) if hasattr(item, "setBackground"): item.setBackground(color) else: item.setBackgroundColor(color) item.setFlags(qt.Qt.ItemIsSelectable| qt.Qt.ItemIsEnabled) col=col+1 line+=1 for peak0 in result[group]['escapepeaks']: peak = peak0+"esc" if result[group][peak]['ratio'] > 0.0: energy = QString("%.3f" % (result[group][peak]['energy'])) ratio = QString("%.5f" % (result[group][peak]['ratio'])) area = QString("%.4e" % (result[group][peak]['fitarea'])) sigma = QString("%.2e" % (result[group][peak]['sigmaarea'])) fwhm = QString("%.3f" % (result[group][peak]['fwhm'])) chisq = QString("%.2f" % (result[group][peak]['chisq'])) if (line+1) > nlines: self.setRowCount(line+1) fields = [peak,area,sigma,energy,ratio,fwhm,chisq] col = 1 for field in fields: item = self.item(line, col) if item is None: item = qt.QTableWidgetItem(field, qt.QTableWidgetItem.Type) self.setItem(line, col, item) else: item.setText(field) if hasattr(item, "setBackground"): item.setBackground(color) else: item.setBackgroundColor(color) item.setFlags(qt.Qt.ItemIsSelectable| qt.Qt.ItemIsEnabled) col=col+1 line+=1 for i in range(self.columnCount()): if i>-1: self.resizeColumnToContents(i) def __getfitpar(self,result): if result['fitconfig']['fittheory'].find("Area") != -1: fitlabel='Area' elif result['fitconfig']['fittheory'].find("Hypermet") != -1: fitlabel='Area' else: fitlabel='Height' values = [] sigmavalues = [] for param in result['paramlist']: if param['name'].find('ST_Area') != -1: # value and sigmavalue defined via fitlabel values[-1] = value * (1.0 + param['fitresult']) #just an approximation sigmavalues[-1] = sigmavalue * (1.0 + param['fitresult']) elif param['name'].find('LT_Area')!= -1: pass elif param['name'].find(fitlabel) != -1: value = param['fitresult'] sigmavalue = param['sigma'] values.append(value) sigmavalues.append(sigmavalue) return fitlabel, values, sigmavalues def __myslot(self,*var): ddict={} if len(var) == 0: #selection changed event #get the current selection ddict['event'] = 'McaTableClicked' row = self.currentRow() else: #Header click ddict['event'] = 'McaTableRowHeaderClicked' row = var[0] ccol = self.currentColumn() ddict['row' ] = row ddict['col'] = ccol ddict['labelslist'] = self.labels if row >= 0: col = 0 for label in self.labels: item = self.item(row, col) if item is not None: text = item.text() try: ddict[label] = float(str(text)) except: ddict[label] = str(text) col +=1 self.sigMcaTableSignal.emit(ddict) def gettext(self): lemon= ("#%x%x%x" % (255,250,205)).upper() if QTVERSION < '4.0.0': hb = self.horizontalHeader().paletteBackgroundColor() hcolor = ("#%x%x%x" % (hb.red(),hb.green(),hb.blue())).upper() else: if DEBUG: print("color background to implement") hcolor = ("#%x%x%x" % (230,240,249)).upper() text = "" text += ("") text += ("") text += ("") ncols = self.columnCount() for l in range(ncols): text+=('") text+=("") #text+=( str(QString("
")) nrows = self.rowCount() for r in range(nrows): text+=("") moretext = "" item = self.item(r, 0) if item is not None: moretext = str(item.text()) if len(moretext): color = "white" b="" else: b="" color = lemon for c in range(ncols): moretext = "" item = self.item(r, c) if item is not None: moretext = str(item.text()) if len(moretext): finalcolor = color else: finalcolor = "white" if c<2: text+=('") else: text+=("") moretext = "" item = self.item(r, 0) if item is not None: moretext = str(item.text()) if len(moretext): text+=("") text+=("") #text+=( str(QString("
")) text+=("\n") text+=("
' % hcolor) text+=(str(self.horizontalHeaderItem(l).text())) text+=("
%s' % (finalcolor,b)) else: text+=('%s' % (finalcolor,b)) text+= moretext if len(b): text+=("
") text+=("") return text def closeEvent(self, event): QTable.closeEvent(self, event) ddict={} ddict['event']= 'closed' self.sigClosed.emit(ddict) PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xrf/QXTube.py0000644000276300001750000004503213136054446021514 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaPhysics import Elements from PyMca5.PyMcaPhysics import XRayTubeEbel import numpy from PyMca5.PyMcaGui import PlotWindow from PyMca5.PyMcaGui import PyMcaQt as qt DEBUG = 0 if qt.qVersion() > '4.0.0': class QGridLayout(qt.QGridLayout): def addMultiCellWidget(self, w, r0, r1, c0, c1, *var): self.addWidget(w, r0, c0, 1 + r1 - r0, 1 + c1 - c0) class QXTube(qt.QWidget): sigQXTubeSignal = qt.pyqtSignal(object) def __init__(self, parent=None, initdict = None): qt.QWidget.__init__(self, parent) self.l = qt.QVBoxLayout(self) self.l.setContentsMargins(0, 0, 0, 0) self.l.setSpacing(0) self.tubeWidget = TubeWidget(self, initdict = initdict) self.setParameters = self.tubeWidget.setParameters self.getParameters = self.tubeWidget.getParameters label = qt.QLabel(self) hbox = qt.QWidget(self) hboxl = qt.QHBoxLayout(hbox) hboxl.setContentsMargins(0, 0, 0, 0) hboxl.setSpacing(0) self.plotButton = qt.QPushButton(hbox) self.plotButton.setText("Plot Continuum") self.exportButton = qt.QPushButton(hbox) self.exportButton.setText("Export to Fit") #grid.addWidget(self.plotButton, 7, 1) #grid.addWidget(self.exportButton, 7, 3) hboxl.addWidget(self.plotButton) hboxl.addWidget(self.exportButton) self.l.addWidget(self.tubeWidget) f = label.font() f.setItalic(1) label.setFont(f) label.setAlignment(qt.Qt.AlignRight) label.setText("H. Ebel, X-Ray Spectrometry 28 (1999) 255-266 ") self.l.addWidget(label) self.l.addWidget(hbox) self.graph = PlotWindow.PlotWindow(self, backend=None) self.l.addWidget(self.graph) self.graph.setGraphXLabel("Energy (keV)") self.graph.setGraphYLabel("photons/sr/mA/keV/s") self.plotButton.clicked.connect(self.plot) self.exportButton.clicked.connect(self._export) def plot(self): d = self.tubeWidget.getParameters() transmission = d["transmission"] anode = d["anode"] anodedensity = d["anodedensity"] anodethickness = d["anodethickness"] voltage = d["voltage"] wele = d["window"] wdensity = d["windowdensity"] wthickness = d["windowthickness"] fele = d["filter1"] fdensity = d["filter1density"] fthickness = d["filter1thickness"] filterlist =[[fele, fdensity, fthickness]] alphae = d["alphae"] alphax = d["alphax"] delta = d["deltaplotting"] e = numpy.arange(1, voltage, delta) if __name__ == "__main__": continuumR = XRayTubeEbel.continuumEbel([anode, anodedensity, anodethickness], voltage, e, [wele, wdensity, wthickness], alphae=alphae, alphax=alphax, transmission=0, targetthickness=anodethickness, filterlist=filterlist) continuumT = XRayTubeEbel.continuumEbel([anode, anodedensity, anodethickness], voltage, e, [wele, wdensity, wthickness], alphae=alphae, alphax=alphax, transmission=1, targetthickness=anodethickness, filterlist=filterlist) self.graph.addCurve(e, continuumR, "continuumR", replot=False) self.graph.addCurve(e, continuumT, "continuumT", replot=False) else: continuum = XRayTubeEbel.continuumEbel([anode, anodedensity, anodethickness], voltage, e, [wele, wdensity, wthickness], alphae=alphae, alphax=alphax, transmission=transmission, targetthickness=anodethickness, filterlist=filterlist) self.graph.addCurve(e, continuum, "continuum", replot=False) self.graph.resetZoom() self.graph.replot() def _export(self): d = self.tubeWidget.getParameters() transmission = d["transmission"] anode = d["anode"] anodedensity = d["anodedensity"] anodethickness = d["anodethickness"] voltage = d["voltage"] wele = d["window"] wdensity = d["windowdensity"] wthickness = d["windowthickness"] fele = d["filter1"] fdensity = d["filter1density"] fthickness = d["filter1thickness"] filterlist =[[fele, fdensity, fthickness]] alphae = d["alphae"] alphax = d["alphax"] delta = d["deltaplotting"] e = numpy.arange(1, voltage, delta) d["event"] = "TubeUpdated" d["energyplot"] = e d["continuum"] = XRayTubeEbel.continuumEbel([anode, anodedensity, anodethickness], voltage, e, [wele, wdensity, wthickness], alphae=alphae, alphax=alphax, transmission=transmission, targetthickness=anodethickness, filterlist=filterlist) fllines = XRayTubeEbel.characteristicEbel([anode, anodedensity, anodethickness], voltage, [wele, wdensity, wthickness], alphae=alphae, alphax=alphax, transmission=transmission, targetthickness=anodethickness, filterlist=filterlist) d["characteristic"] = fllines if DEBUG: fsum = 0.0 for l in fllines: print("%s %.4f %.3e" % (l[2],l[0],l[1])) fsum += l[1] print(fsum) energy, energyweight, energyscatter = XRayTubeEbel.generateLists([anode, anodedensity, anodethickness], voltage, window = [wele, wdensity, wthickness], alphae = alphae, alphax = alphax, transmission = transmission, targetthickness=anodethickness, filterlist=filterlist) d["energylist"] = energy d["weightlist"] = energyweight d["scatterlist"] = energyscatter d["flaglist"] = numpy.ones(len(energy)) self.sigQXTubeSignal.emit(d) class TubeWidget(qt.QWidget): def __init__(self, parent=None, initdict = None): qt.QWidget.__init__(self, parent) self._build() self.anodeCombo.sigMyQComboBoxSignal.connect(self._anodeSlot) self.windowCombo.sigMyQComboBoxSignal.connect(self._windowSlot) self.filter1Combo.sigMyQComboBoxSignal.connect(self._filter1Slot) self.transmissionCheckBox.clicked.connect(self._transmissionSlot) if initdict is not None: self.setParameters(initdict) else: d = {} d["transmission"] = 0 d["voltage"] = 30.0 d["anode"] = "Ag" d["anodethickness"] = 0.0002 d["anodedensity"] = Elements.Element["Ag"]["density"] d["window"] = "Be" d["windowthickness"] = 0.0125 d["windowdensity"] = Elements.Element["Be"]["density"] d["filter1"] = "He" d["filter1thickness"]= 0.0 d["filter1density"] = Elements.Element["He"]["density"] d["alphax"] = 90.0 d["alphae"] = 90.0 d["deltaplotting"] = 0.10 self.setParameters(d) def _build(self): layout = qt.QVBoxLayout(self) layout.setContentsMargins(11, 11, 11, 11) gridwidget = qt.QWidget(self) grid = QGridLayout(gridwidget) grid.setContentsMargins(0, 0, 0, 0) grid.setSpacing(6) self.transmissionCheckBox = qt.QCheckBox(gridwidget) self.transmissionCheckBox.setText("Transmission Tube") voltage = qt.QLabel(gridwidget) voltage.setText("Voltage") self.voltage = qt.QLineEdit(gridwidget) grid.addMultiCellWidget(self.transmissionCheckBox, 0 ,0, 0, 1) grid.addWidget(voltage, 0 ,2) grid.addWidget(self.voltage, 0 ,3) #materials mlabel = qt.QLabel(gridwidget) mlabel.setText("Material") dlabel = qt.QLabel(gridwidget) dlabel.setText("Density (g/cm3)") tlabel = qt.QLabel(gridwidget) tlabel.setText("Thickness (cm)") #anode anodelabel = qt.QLabel(gridwidget) anodelabel.setText("Anode") self.anodeCombo = MyQComboBox(gridwidget, options = Elements.ElementList) self.anodeDensity = qt.QLineEdit(gridwidget) self.anodeThickness = qt.QLineEdit(gridwidget) #window windowlabel = qt.QLabel(gridwidget) windowlabel.setText("Window") self.windowCombo = MyQComboBox(gridwidget, options = Elements.ElementList) self.windowDensity = qt.QLineEdit(gridwidget) self.windowThickness = qt.QLineEdit(gridwidget) grid.addWidget(mlabel, 1 ,1) grid.addWidget(dlabel, 1 ,2) grid.addWidget(tlabel, 1 ,3) grid.addWidget(anodelabel, 2, 0) grid.addWidget(self.anodeCombo, 2, 1) grid.addWidget(self.anodeDensity, 2, 2) grid.addWidget(self.anodeThickness, 2, 3) grid.addWidget(windowlabel, 3, 0) grid.addWidget(self.windowCombo, 3, 1) grid.addWidget(self.windowDensity, 3, 2) grid.addWidget(self.windowThickness, 3, 3) #filter1 filter1label = qt.QLabel(gridwidget) filter1label.setText("Filter") self.filter1Combo = MyQComboBox(gridwidget, options = Elements.ElementList) self.filter1Density = qt.QLineEdit(gridwidget) self.filter1Thickness = qt.QLineEdit(gridwidget) grid.addWidget(filter1label, 4, 0) grid.addWidget(self.filter1Combo, 4, 1) grid.addWidget(self.filter1Density, 4, 2) grid.addWidget(self.filter1Thickness, 4, 3) #angles alphaelabel = qt.QLabel(gridwidget) alphaelabel.setText("Alpha electron") self.alphaE = qt.QLineEdit(gridwidget) alphaxlabel = qt.QLabel(gridwidget) alphaxlabel.setText("Alpha x-ray") self.alphaX = qt.QLineEdit(gridwidget) grid.addWidget(alphaelabel, 5, 2) grid.addWidget(self.alphaE, 5, 3) grid.addWidget(alphaxlabel, 6, 2) grid.addWidget(self.alphaX, 6, 3) #delta energy deltalabel = qt.QLabel(gridwidget) deltalabel.setText("Delta energy (keV) just for plotting") self.delta = qt.QLineEdit(gridwidget) grid.addMultiCellWidget(deltalabel, 7, 7, 0, 3) grid.addWidget(self.delta, 7, 3) layout.addWidget(gridwidget) def setParameters(self, d): """ d["transmission"] = 1 d["anode"] = "Ag" d["anodethickness"] = 0.0002 d["anodedensity"] = None d["window"] = "Be" d["windowthickness"] = 0.0125 d["windowdensity"] = None d["anglex"] = 90.0 d["anglee"] = 90.0 d["deltaplotting"] = 0.2 """ if "transmission" in d: if d["transmission"]: self.transmissionCheckBox.setChecked(1) else: self.transmissionCheckBox.setChecked(0) self._transmissionSlot() if "voltage" in d: self.voltage.setText("%.1f" % d["voltage"]) if "anode" in d: self.anodeCombo.setCurrentIndex(Elements.ElementList.index(d["anode"])) self.anodeDensity.setText("%f" % Elements.Element[d["anode"]]["density"]) if "anodethickness" in d: self.anodeThickness.setText("%f" % d["anodethickness"]) if "anodedensity" in d: self.anodeDensity.setText("%f" % d["anodedensity"]) if "window" in d: self.windowCombo.setCurrentIndex(Elements.ElementList.index(d["window"])) self.windowDensity.setText("%f" % Elements.Element[d["window"]]["density"]) if "windowthickness" in d: self.windowThickness.setText("%f" % d["windowthickness"]) if "windowdensity" in d: self.windowDensity.setText("%f" % d["windowdensity"]) if "filter1" in d: self.filter1Combo.setCurrentIndex(Elements.ElementList.index(d["filter1"])) self.filter1Density.setText("%f" % Elements.Element[d["filter1"]]["density"]) if "filter1thickness" in d: self.filter1Thickness.setText("%f" % d["filter1thickness"]) if "filter1density" in d: self.filter1Density.setText("%f" % d["filter1density"]) if "alphax" in d: self.alphaX.setText("%.1f" % d["alphax"]) if "alphae" in d: self.alphaE.setText("%.1f" % d["alphae"]) if "deltaplotting" in d: self.delta.setText("%.3f" % d["deltaplotting"]) def getParameters(self): d = {} if self.transmissionCheckBox.isChecked(): d["transmission"] = 1 else: d["transmission"] = 0 d["voltage"] = float(str(self.voltage.text())) d["anode"] = self.anodeCombo.getCurrent()[1] d["anodethickness"] = float(str(self.anodeThickness.text())) d["anodedensity"] = float(str(self.anodeDensity.text())) d["window"] = self.windowCombo.getCurrent()[1] d["windowthickness"] = float(str(self.windowThickness.text())) d["windowdensity"] = float(str(self.windowDensity.text())) d["filter1"] = self.filter1Combo.getCurrent()[1] d["filter1thickness"] = float(str(self.filter1Thickness.text())) d["filter1density"] = float(str(self.filter1Density.text())) d["alphax"] = float(str(self.alphaX.text())) d["alphae"] = float(str(self.alphaE.text())) d["deltaplotting"] = float(str(self.delta.text())) return d def _anodeSlot(self, ddict): if DEBUG: print("_anodeSlot", ddict) self.anodeDensity.setText("%f" % Elements.Element[ddict["element"]]["density"]) def _windowSlot(self, ddict): if DEBUG: print("_windowSlot", ddict) self.windowDensity.setText("%f" % Elements.Element[ddict["element"]]["density"]) def _filter1Slot(self, ddict): if DEBUG: print("_filter1Slot", ddict) self.filter1Density.setText("%f" % Elements.Element[ddict["element"]]["density"]) def _transmissionSlot(self): if DEBUG: print("_transmissionSlot") if self.transmissionCheckBox.isChecked(): self.anodeThickness.setEnabled(1) else: self.anodeThickness.setEnabled(0) class MyQComboBox(qt.QComboBox): sigMyQComboBoxSignal = qt.pyqtSignal(object) def __init__(self,parent = None,name = None,fl = 0, options=['1','2','3'],row=None,col=None): if row is None: row = 0 if col is None: col = 0 self.row = row self.col = col qt.QComboBox.__init__(self,parent) self.setOptions(options) self.setDuplicatesEnabled(False) self.setEditable(False) self.activated[str].connect(self._mySignal) def setOptions(self,options=['1','2','3']): self.clear() if qt.qVersion() < '4.0.0': self.insertStrList(options) else: for item in options: self.addItem(item) def getCurrent(self): return self.currentIndex(),str(self.currentText()) def _mySignal(self, qstring0): if DEBUG: print("_mySignal ", qstring0) text = str(qstring0) d = {} d['event'] = 'activated' d['element'] = text #d['z'] = Elemens.ElementList.index(d) + 1 self.sigMyQComboBoxSignal.emit(d) if __name__ == "__main__": app = qt.QApplication([]) w = QXTube() w.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xas/0000755000276300001750000000000013205526235017757 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xas/XASNormalizationWindow.py0000644000276300001750000005460513136054446024740 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import numpy import traceback import copy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from PyMca5.PyMcaGraph.backends.MatplotlibBackend \ import MatplotlibBackend as backend from PyMca5.PyMcaGui import PlotWindow from PyMca5.PyMcaPhysics import XASNormalization POLYNOM_OPTIONS = ['Modif. Victoreen', 'Victoreen', 'Constant', 'Linear', 'Parabolic', 'Cubic'] class PolynomSelector(qt.QComboBox): def __init__(self, parent=None, options=None): qt.QComboBox.__init__(self, parent) self.setEditable(0) if options is not None: self.setOptions(options) else: self.setOptions(POLYNOM_OPTIONS) def setOptions(self, options): for item in options: self.addItem(item) def getOptions(self): return POLYNOM_OPTIONS * 1 class XASNormalizationParametersWidget(qt.QWidget): sigXASNormalizationParametersSignal = qt.pyqtSignal(object) def __init__(self, parent = None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.__parametersDict = self._getDefaultParameters() self.__defaultEdgeEnergy = None self._polynomOptions = POLYNOM_OPTIONS i = 0 edgeGroupBox = qt.QGroupBox(self) edgeGroupBoxLayout = qt.QGridLayout(edgeGroupBox) edgeGroupBox.setAlignment(qt.Qt.AlignHCenter) edgeGroupBox.setTitle('Edge Position') autoButton = qt.QRadioButton(edgeGroupBox) autoButton.setText('Auto') autoButton.setChecked(True) userButton = qt.QRadioButton(edgeGroupBox) userButton.setText('User') buttonGroup = qt.QButtonGroup(edgeGroupBox) buttonGroup.addButton(autoButton, 0) buttonGroup.addButton(userButton, 1) buttonGroup.setExclusive(True) userEnergy = qt.QLineEdit(edgeGroupBox) userEnergy.setEnabled(False) validator = qt.QDoubleValidator(userEnergy) userEnergy.setValidator(validator) edgeGroupBoxLayout.addWidget(autoButton, 0, 0) edgeGroupBoxLayout.addWidget(userButton, 1, 0) edgeGroupBoxLayout.addWidget(userEnergy, 1, 1) self.mainLayout.addWidget(edgeGroupBox, 0, 0, 2, 2) #create handles to the relevant widgets self.autoEdgeButton = autoButton self.userEdgeButton = userButton self.userEdgeEnergy = userEnergy # connect the signals buttonGroup.buttonClicked[int].connect(self._buttonClicked) self.userEdgeEnergy.editingFinished.connect(self._userEdgeEnergyEditingFinished) regionsGroupBox = qt.QGroupBox(self) regionsGroupBoxLayout = qt.QGridLayout(regionsGroupBox) regionsGroupBox.setAlignment(qt.Qt.AlignHCenter) regionsGroupBox.setTitle('Regions') i = 1 for text in ["Pre-edge Polynom:", "Post-edge Polynom:"]: label = qt.QLabel(regionsGroupBox) label.setText(text) regionsGroupBoxLayout.addWidget(label, i, 0) #self.mainLayout.addWidget(qt.HorizontalSpacer(self), i, 1) i +=1 i = 1 self.widgetDict = {} for key in ['pre_edge', 'post_edge']: self.widgetDict[key] = {} c = 1 w = PolynomSelector(regionsGroupBox, options=self._polynomOptions) w.activated[int].connect(self._regionParameterChanged) regionsGroupBoxLayout.addWidget(w, i, c) c += 1 self.widgetDict[key]['polynomial'] = w for text in ['delta xmin', 'delta xmax']: label = qt.QLabel(regionsGroupBox) label.setText(text) self.widgetDict[key][text] = qt.QLineEdit(regionsGroupBox) self.widgetDict[key][text].editingFinished.connect( \ self._regionParameterChanged) validator = qt.QDoubleValidator(self.widgetDict[key][text]) self.widgetDict[key][text].setValidator(validator) regionsGroupBoxLayout.addWidget(label, i, c) regionsGroupBoxLayout.addWidget(self.widgetDict[key][text], i, c + 1) c += 2 i += 1 self.mainLayout.addWidget(regionsGroupBox, 0, 2) self._updateParameters() def _getDefaultParameters(self): ddict = {} ddict['auto_edge'] = 1 #give a dummy value ddict['edge_energy'] = 0.0 ddict['pre_edge'] = {} ddict['pre_edge']['regions'] = [[-100., -40.]] ddict['pre_edge']['polynomial'] = 'Constant' ddict['post_edge'] = {} ddict['post_edge']['regions'] = [[20., 300.]] ddict['post_edge']['polynomial'] = 'Linear' return ddict def _buttonClicked(self, intValue): event = None ddict={} if intValue == 0: event = "AutoEdgeEnergyClicked" ddict['auto_edge'] = 1 else: ddict['auto_edge'] = 0 self.setParameters(ddict, signal=True, event=event) def _userEdgeEnergyEditingFinished(self): ddict={} ddict['edge_energy'] = float(self.userEdgeEnergy.text()) self.setParameters(ddict, signal=True) def _regionParameterChanged(self, dummy=None, signal=True): ddict = {} for key in ['pre_edge', 'post_edge']: ddict[key] = {} ddict[key]['polynomial'] = self.widgetDict[key]['polynomial'].currentIndex() - 2 delta_xmin = float(self.widgetDict[key]['delta xmin'].text()) delta_xmax = float(self.widgetDict[key]['delta xmax'].text()) if delta_xmin > delta_xmax: ddict[key]['regions'] = [[delta_xmax, delta_xmin]] self.widgetDict[key]['delta xmin'].setText("%f" % delta_xmax) self.widgetDict[key]['delta xmax'].setText("%f" % delta_xmin) else: ddict[key]['regions'] = [[delta_xmin, delta_xmax]] self.setParameters(ddict, signal=True) def setParameters(self, ddict, signal=False, event=None): for key in ddict: if key in ['pre_edge', 'post_edge']: self.__parametersDict[key].update(ddict[key]) elif key in self.__parametersDict: self.__parametersDict[key] = ddict[key] self._updateParameters(signal=signal, event=event) def _updateParameters(self, signal=True, event=None): for key in ['pre_edge', 'post_edge']: idx = self.__parametersDict[key]['polynomial'] if type(idx) == type(1): # polynomial order self.widgetDict[key]['polynomial'].setCurrentIndex(idx + 2) else: # string self.widgetDict[key]['polynomial'].setCurrentIndex(\ self._polynomOptions.index(idx)) i = 0 for text in ['delta xmin', 'delta xmax']: # only the first region of each shown self.widgetDict[key][text].setText("%f" %\ self.__parametersDict[key]['regions'][0][i]) i += 1 self.userEdgeEnergy.setText("%f" % self.__parametersDict['edge_energy']) if self.__parametersDict['auto_edge']: self.autoEdgeButton.setChecked(True) self.userEdgeButton.setChecked(False) self.userEdgeEnergy.setEnabled(False) else: self.autoEdgeButton.setChecked(False) self.userEdgeButton.setChecked(True) self.userEdgeEnergy.setEnabled(True) if signal: ddict = self.getParameters() if event is None: ddict['event']='XASNormalizationParametersChanged' else: ddict['event'] = event self.sigXASNormalizationParametersSignal.emit(ddict) def getParameters(self): # make sure a copy is given back return copy.deepcopy(self.__parametersDict) def setEdgeEnergy(self, energy, emin=None, emax=None): self.userEdgeEnergy.setText("%f" % energy) signal = True if self.__parametersDict['edge_energy'] == energy: signal = False ddict ={'edge_energy':energy} if emin is not None: for region in self.__parametersDict['pre_edge']['regions']: if (region[0] + energy) < emin: signal = True ddict['pre_edge'] = {} xmin = emin - energy xmax = 0.5 * xmin ddict['pre_edge']['regions'] = [[xmin, xmax]] break if emax is not None: for region in self.__parametersDict['post_edge']['regions']: if (region[1] + energy) > emax: signal=True ddict['post_edge'] = {} xmax = emax - energy xmin = 0.1 * xmax ddict['post_edge']['regions'] = [[xmin, xmax]] break self.setParameters(ddict, signal=signal) class XASNormalizationWindow(qt.QWidget): def __init__(self, parent, spectrum, energy=None): qt.QWidget.__init__(self, parent) self.setWindowTitle("XAS Normalization Configuration Window") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) if energy is None: self.energy = range(len(spectrum)) else: self.energy = energy self.spectrum = spectrum self.parametersWidget = XASNormalizationParametersWidget(self) self.graph = PlotWindow.PlotWindow(self, backend=backend, plugins=False, newplot=False) self.__lastDict = {} self.graph.sigPlotSignal.connect(self._handleGraphSignal) self.graph.addCurve(self.energy, spectrum, legend="Spectrum", replace=True) self.mainLayout.addWidget(self.parametersWidget) self.mainLayout.addWidget(self.graph) # initialize variables edgeEnergy, sortedX, sortedY, xPrime, yPrime =\ XASNormalization.estimateXANESEdge(spectrum, energy=self.energy, full=True) self._xPrime = xPrime self._yPrime = yPrime self.parametersWidget.setEdgeEnergy(edgeEnergy, emin=self.energy.min(), emax=self.energy.max()) self.getParameters = self.parametersWidget.getParameters self.setParameters = self.parametersWidget.setParameters self.parametersWidget.sigXASNormalizationParametersSignal.connect( \ self.updateGraph) self.updateGraph(self.getParameters()) def setData(self, spectrum, energy=None): self.spectrum = spectrum if energy is None: self.energy = range(len(spectrum)) else: self.energy = energy self.graph.clearMarkers() self.graph.addCurve(self.energy, self.spectrum, legend="Spectrum", replot=True, replace=True) edgeEnergy = XASNormalization.estimateXANESEdge(self.spectrum, energy=self.energy, full=False) self.parametersWidget.setEdgeEnergy(edgeEnergy, emin=self.energy.min(), emax=self.energy.max()) self.updateGraph(self.getParameters()) def updateGraph(self, ddict): self.__lastDict = ddict edgeEnergy = ddict['edge_energy'] preRegions = ddict['pre_edge']['regions'] postRegions = ddict['post_edge']['regions'] event = ddict.get('event', None) if event == "AutoEdgeEnergyClicked": try: # recalculate edge energy following region limits xmin = edgeEnergy + preRegions[0][0] xmax = edgeEnergy + postRegions[0][1] idx = numpy.nonzero((self.energy >= xmin) &\ (self.energy <= xmax))[0] x = numpy.take(self.energy, idx) y = numpy.take(self.spectrum, idx) edgeEnergy = XASNormalization.estimateXANESEdge(y, energy=x, full=False) self.parametersWidget.setEdgeEnergy(edgeEnergy, emin=self.energy.min(), emax=self.energy.max()) self.__lastDict['edge_energy'] = edgeEnergy except: pass parameters = {} parameters['pre_edge_order'] = ddict['pre_edge']['polynomial'] parameters['post_edge_order'] = ddict['post_edge']['polynomial'] algorithm = 'polynomial' self.updateMarkers(edgeEnergy, preRegions, postRegions, edge_auto=ddict['auto_edge']) try: normalizationResult = XASNormalization.XASNormalization(self.spectrum, self.energy, edge=edgeEnergy, pre_edge_regions=preRegions, post_edge_regions=postRegions, algorithm=algorithm, algorithm_parameters=parameters) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Normalization Error") msg.setText("An error has occured while normalizing the data") msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() return nEnergy, nSpectrum, usedEdge, jump = normalizationResult[0:4] preEdgeFunction, preEdgeParameters = normalizationResult[4:6] postEdgeFunction, postEdgeParameters = normalizationResult[6:8] idx = self.energy > (usedEdge + preRegions[0][0]) x = self.energy[idx] yPre = preEdgeFunction(preEdgeParameters, x) yPost = postEdgeFunction(postEdgeParameters, x) self.graph.addCurve(x, yPre, legend="Pre-edge Polynomial", replace=False) self.graph.addCurve(x, yPost+yPre, legend="Post-edge Polynomial", replace=False, replot=True) def updateMarkers(self, edgeEnergy, preEdgeRegions, postEdgeRegions, edge_auto=True): if edge_auto: draggable = False else: draggable = True #self.graph.clearMarkers() self.graph.insertXMarker(edgeEnergy, 'EDGE', text='EDGE', color='pink', draggable=draggable, replot=False) for i in range(2): x = preEdgeRegions[0][i] + edgeEnergy if i == 0: label = 'MIN' else: label = 'MAX' self.graph.insertXMarker(x, 'Pre-'+ label, text=label, color='blue', draggable=True, replot=False) for i in range(2): x = postEdgeRegions[0][i] + edgeEnergy if i == 0: label = 'MIN' replot=False else: label = 'MAX' replot=True self.graph.insertXMarker(x, 'Post-'+ label, text=label, color='blue', draggable=True, replot=replot) def _handleGraphSignal(self, ddict): #print("ddict = ", ddict) if ddict['event'] != 'markerMoved': return marker = ddict['label'] edgeEnergy = self.__lastDict['edge_energy'] x = ddict['x'] if marker == "EDGE": self.parametersWidget.setEdgeEnergy(x, emin=self.energy.min(), emax=self.energy.max()) return ddict ={} if marker == "Pre-MIN": ddict['pre_edge'] ={} xmin = x - edgeEnergy xmax = self.__lastDict['pre_edge']['regions'][0][1] if xmin > xmax: ddict['pre_edge']['regions'] = [[xmax, xmin]] else: ddict['pre_edge']['regions'] = [[xmin, xmax]] elif marker == "Pre-MAX": ddict['pre_edge'] ={} xmin = self.__lastDict['pre_edge']['regions'][0][0] xmax = x - edgeEnergy if xmin > xmax: ddict['pre_edge']['regions'] = [[xmax, xmin]] else: ddict['pre_edge']['regions'] = [[xmin, xmax]] elif marker == "Post-MIN": ddict['post_edge'] ={} xmin = x - edgeEnergy xmax = self.__lastDict['post_edge']['regions'][0][1] if xmin > xmax: ddict['post_edge']['regions'] = [[xmax, xmin]] else: ddict['post_edge']['regions'] = [[xmin, xmax]] elif marker == "Post-MAX": ddict['post_edge'] ={} xmin = self.__lastDict['post_edge']['regions'][0][0] xmax = x - edgeEnergy if xmin > xmax: ddict['post_edge']['regions'] = [[xmax, xmin]] else: ddict['post_edge']['regions'] = [[xmin, xmax]] else: print("Unhandled markerMoved Signal") return self.setParameters(ddict, signal=True) class XASNormalizationDialog(qt.QDialog): def __init__(self, parent, data, energy=None): qt.QDialog.__init__(self, parent) self.setWindowTitle("XAS Normalization Dialog") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(10, 10, 10, 10) self.mainLayout.setSpacing(2) self.__image = False if len(data.shape) == 2: spectrum = data.ravel() else: spectrum = data self.parametersWidget =XASNormalizationWindow(self, spectrum, energy=energy) self.graph = self.parametersWidget.graph self.setData = self.parametersWidget.setData self.mainLayout.addWidget(self.parametersWidget) hbox = qt.QWidget(self) hboxLayout = qt.QHBoxLayout(hbox) hboxLayout.setContentsMargins(0, 0, 0, 0) hboxLayout.setSpacing(0) self.okButton = qt.QPushButton(hbox) self.okButton.setText("OK") self.okButton.setAutoDefault(False) self.dismissButton = qt.QPushButton(hbox) self.dismissButton.setText("Cancel") self.dismissButton.setAutoDefault(False) hboxLayout.addWidget(self.okButton) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) hboxLayout.addWidget(self.dismissButton) self.mainLayout.addWidget(hbox) self.dismissButton.clicked.connect(self.reject) self.okButton.clicked.connect(self.accept) def getParameters(self): parametersDict = self.parametersWidget.getParameters() return parametersDict def setParameters(self, ddict): return self.parametersWidget.setParameters(ddict) def setSpectrum(self, energy, mu): self.parametersWidget.setData(mu, energy=energy) if __name__ == "__main__": app = qt.QApplication([]) if len(sys.argv) > 1: from PyMca5.PyMcaIO import specfilewrapper as specfile sf = specfile.Specfile(sys.argv[1]) scan = sf[0] data = scan.data() energy = data[0, :] spectrum = data[1, :] w = XASNormalizationDialog(None, spectrum, energy=energy) else: from PyMca5 import SpecfitFuns noise = numpy.random.randn(1500.) x = 8000. + numpy.arange(1500.) y = SpecfitFuns.upstep([100, 8500., 50], x) w = XASNormalizationDialog(None, y + numpy.sqrt(y)* noise, energy=x) ret=w.exec_() if ret: print(w.getParameters()) PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xas/XASFourierTransformParameters.py0000644000276300001750000002727513136054446026260 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import sys from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict DEBUG = 0 class XASFourierTransformParameters(qt.QGroupBox): sigFTParametersSignal = qt.pyqtSignal(object) def __init__(self, parent=None): super(XASFourierTransformParameters, self).__init__(parent) self.setTitle("Fourier Transform") self.__connected = True self.build() config = {} config["FT"] = {} ddict = config["FT"] ddict["Window"] = "Gaussian" ddict["WindowList"] = ["Gaussian", "Hanning", "Box", "Parzen", "Welch", "Hamming", "Tukey", "Papul", "Kaiser"] ddict["WindowApodization"] = 0.02 ddict["WindowRange"] = None ddict["KStep"] = 0.04 ddict["Points"] = 2048 ddict["Range"] = [0.0, 7.0] self.setParameters(config) def build(self): self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) # window selector windowLabel = qt.QLabel(self) windowLabel.setText("Window:") windowOptions = ["Gaussian", "Hanning", "Box", "Parzen", "Welch", "Hamming", "Tukey", "Papul", "Kaiser"] self.windowSelector = qt.QComboBox(self) for option in windowOptions: self.windowSelector.addItem(option) self.windowSelector.setCurrentIndex(0) # the apodization value apodizationLabel = qt.QLabel(self) apodizationLabel.setText("Apodization:") self.apodizationBox = qt.QDoubleSpinBox(self) self.apodizationBox.setMinimum(0.001) self.apodizationBox.setMaximum(4.) self.apodizationBox.setDecimals(3) self.apodizationBox.setSingleStep(0.01) self.apodizationBox.setValue(0.02) self.apodizationBox.setEnabled(False) # the window range # k Min kMinLabel = qt.QLabel(self) kMinLabel.setText("Window K Min:") self.kMinBox = qt.QDoubleSpinBox(self) self.kMinBox.setDecimals(2) self.kMinBox.setMinimum(0.0) self.kMinBox.setValue(2.0) self.kMinBox.setSingleStep(0.1) self.kMinBox.setEnabled(True) # k Max kMaxLabel = qt.QLabel(self) kMaxLabel.setText("Window K Max:") self.kMaxBox = qt.QDoubleSpinBox(self) self.kMaxBox.setDecimals(2) self.kMaxBox.setMaximum(25.0) self.kMaxBox.setValue(20.0) self.kMaxBox.setSingleStep(0.1) self.kMaxBox.setEnabled(True) # k Step kStepLabel = qt.QLabel(self) kStepLabel.setText("Window K Step:") self.kStepBox = qt.QDoubleSpinBox(self) self.kStepBox.setDecimals(2) self.kStepBox.setMinimum(0.01) self.kStepBox.setMaximum(0.5) self.kStepBox.setValue(0.02) self.kStepBox.setSingleStep(0.01) self.kStepBox.setEnabled(True) # the FT Range # R Max rMaxLabel = qt.QLabel(self) rMaxLabel.setText("FT Max. R:") self.rMaxBox = qt.QDoubleSpinBox(self) self.rMaxBox.setDecimals(2) self.rMaxBox.setMaximum(10.0) self.rMaxBox.setValue(6.0) self.rMaxBox.setSingleStep(0.5) self.rMaxBox.setEnabled(True) # the FT number of points pointsLabel = qt.QLabel(self) pointsLabel.setText("Points:") pointsOptions = ["512", "1024", "2048", "4096"] self.pointsSelector = qt.QComboBox(self) for option in pointsOptions: self.pointsSelector.addItem(option) self.pointsSelector.setCurrentIndex(2) # arrange everything self.mainLayout.addWidget(windowLabel, 0, 0) self.mainLayout.addWidget(self.windowSelector, 0, 1) self.mainLayout.addWidget(apodizationLabel, 1, 0) self.mainLayout.addWidget(self.apodizationBox, 1, 1) self.mainLayout.addWidget(kMinLabel, 2, 0) self.mainLayout.addWidget(self.kMinBox, 2, 1) self.mainLayout.addWidget(kMaxLabel, 3, 0) self.mainLayout.addWidget(self.kMaxBox, 3, 1) self.mainLayout.addWidget(kStepLabel, 4, 0) self.mainLayout.addWidget(self.kStepBox, 4, 1) self.mainLayout.addWidget(rMaxLabel, 5, 0) self.mainLayout.addWidget(self.rMaxBox, 5, 1) self.mainLayout.addWidget(pointsLabel, 6, 0) self.mainLayout.addWidget(self.pointsSelector, 6, 1) # connect #self.setupButton.clicked.connect(self._setupClicked) self.windowSelector.activated[int].connect(self._windowChanged) self.apodizationBox.valueChanged[float].connect(self._apodizationChanged) self.kMinBox.valueChanged[float].connect(self._kMinChanged) self.kMaxBox.valueChanged[float].connect(self._kMaxChanged) self.kStepBox.valueChanged[float].connect(self._kStepChanged) self.rMaxBox.valueChanged[float].connect(self._rMaxChanged) self.pointsSelector.activated[int].connect(self._pointsChanged) def _windowChanged(self, value): if DEBUG: print("_windowChanged ", value) current = str(self.windowSelector.currentText()) if current.lower() in ["gaussian", "gauss", "tukey", "papul"]: self.apodizationBox.setEnabled(False) if current.lower() in ["kaiser"]: self.apodizationBox.setEnabled(True) else: self.apodizationBox.setEnabled(True) if self.__connected: self.emitSignal("FTWindowChanged") def _apodizationChanged(self, value): if DEBUG: print("_apodizationChanged ", value) if self.__connected: self.emitSignal("FTApodizationChanged") def _kMinChanged(self, value): if DEBUG: print("Current kMin Value =", value) if self.__connected: self.emitSignal("FTKMinChanged") def _kMaxChanged(self, value): if DEBUG: print("Current kMax Value =", value) if self.__connected: if value > self.kMinBox.value(): self.emitSignal("FTKMaxChanged") else: # I should check if we have the focus prior to # raise any error. # This situation happens during manual editing pass def _kStepChanged(self, value): if DEBUG: print("Current kStep value = ", value) if self.__connected: self.emitSignal("FTKStepChanged") def _rMaxChanged(self, value): if DEBUG: print("Current rMax Value =", value) if self.__connected: self.emitSignal("FTRMaxChanged") def _pointsChanged(self, value): if DEBUG: print("_pointsChanged ", value) if self.__connected: self.emitSignal("FTPointsChanged") def getParameters(self): ddict = {} # window ddict["Window"] = str(self.windowSelector.currentText()) ddict["WindowList"] = [] for i in range(self.windowSelector.count()): ddict["WindowList"].append(str(self.windowSelector.itemText(i))) ddict["WindowApodization"] = self.apodizationBox.value() ddict["WindowRange"] = [self.kMinBox.value(), self.kMaxBox.value()] ddict["KStep"] = self.kStepBox.value() ddict["Points"] = int(str(self.pointsSelector.currentText())) ddict["Range"] = [0.0, self.rMaxBox.value()] return ddict def setParameters(self, ddict, signal=True): if DEBUG: print("setParameters called", ddict, signal) if "FT" in ddict: ddict = ddict["FT"] try: self.__connected = False if "Window" in ddict: option = ddict["Window"] if type(ddict["Window"]) == type(1): self.windowSelector.setCurrentIndex(option) else: selectorOptions = [] for i in range(self.windowSelector.count()): selectorOptions.append(str(self.windowSelector.itemText(i))) for i in range(len(selectorOptions)): if selectorOptions[i].lower().startswith(str(option).lower()): self.windowSelector.setCurrentIndex(i) break if ddict["WindowRange"] not in [None, "None", "none"]: self.kMinBox.setValue(ddict["WindowRange"][0]) self.kMaxBox.setValue(ddict["WindowRange"][-1]) self.kStepBox.setValue(ddict["KStep"]) self.rMaxBox.setValue(ddict["Range"][-1]) v = 0 for i in range(self.pointsSelector.count()): if int(str(self.pointsSelector.itemText(i))) < int(ddict["Points"]): v += 1 else: break self.pointsSelector.setCurrentIndex(v) finally: self.__connected = True if signal: self.emitSignal("FTWindowChanged") def emitSignal(self, event): ddict = self.getParameters() ddict["event"] = event self.sigFTParametersSignal.emit(ddict) def setKRange(self, kRange): if kRange[0] > kRange[1]: # do nothing (it happens on editing) return if self.kMinBox.minimum() > kRange[0]: self.kMinBox.setMinimum(kRange[0]) if self.kMaxBox.maximum() < kRange[1]: self.kMaxBox.setMaximum(kRange[1]) #kMin = self.kMinBox.value() #kMax = self.kMaxBox.value() #if kRange[1] > kMin: # self.kMaxBox.setMaximum(kRange[1]) #current = self.kMaxBox.value() #if current > (kRange[1]+0.01): # self.kMaxBox.setValue(value) def setTitleColor(self, color): #self.setStyleSheet("QGroupBox {font-weight: bold; color: red;}") self.setStyleSheet("QGroupBox {color: %s;}" % color) if __name__ == "__main__": DEBUG = 1 app = qt.QApplication([]) def mySlot(ddict): print("Signal received: ", ddict) w = XASFourierTransformParameters() w.show() w.sigFTParametersSignal.connect(mySlot) app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xas/__init__.py0000644000276300001750000000000013136054446022061 0ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xas/XASNormalizationParameters.py0000644000276300001750000004026713136054446025573 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import sys from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons from PyMca5.PyMcaGui import XASNormalizationWindow from PyMca5.PyMca import XASNormalization IconDict = PyMca_Icons.IconDict DEBUG = 0 class XASNormalizationParameters(qt.QGroupBox): sigNormalizationParametersSignal = qt.pyqtSignal(object) def __init__(self, parent=None, color=None): super(XASNormalizationParameters, self).__init__(parent) self.setTitle("Normalization") self._dialog = None self._energy = None self._mu = None self.__connected = True self.build() if color is not None: self.setTitleColor(color) def build(self): self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) # the normalization method normalizationLabel = qt.QLabel(self) normalizationLabel.setText("Method:") self.normalizationOptions = ["Constant", "Flattened"] self.normalizationSelector = qt.QComboBox(self) for option in self.normalizationOptions: self.normalizationSelector.addItem(option) self.normalizationSelector.setCurrentIndex(1) # the E0 value self.e0CheckBox = qt.QCheckBox(self) self.e0CheckBox.setText("Auto E0:") self.e0CheckBox.setChecked(True) self.e0SpinBox = qt.QDoubleSpinBox(self) self.e0SpinBox.setMinimum(200.) self.e0SpinBox.setMaximum(200000.) self.e0SpinBox.setDecimals(2) self.e0SpinBox.setSingleStep(0.2) self.e0SpinBox.setEnabled(False) # the jump jumpLabel = qt.QLabel(self) jumpLabel.setText("Jump:") self.jumpLine = qt.QLineEdit(self) self.jumpLine.setEnabled(False) # the pre-edge preEdgeLabel = qt.QLabel(self) preEdgeLabel.setText("Pre-Edge") self.preEdgeSelector = XASNormalizationWindow.PolynomSelector(self) self.preEdgeSelector.setCurrentIndex(3) # pre-edge regions preEdgeStartLabel = qt.QLabel(self) preEdgeStartLabel.setText("Begin:") self.preEdgeStartBox = qt.QDoubleSpinBox(self) self.preEdgeStartBox.setDecimals(2) self.preEdgeStartBox.setMinimum(-2000.0) self.preEdgeStartBox.setMaximum(-5.0) self.preEdgeStartBox.setValue(-100) self.preEdgeStartBox.setSingleStep(5.0) self.preEdgeStartBox.setEnabled(True) preEdgeEndLabel = qt.QLabel(self) preEdgeEndLabel.setText("End:") self.preEdgeEndBox = qt.QDoubleSpinBox(self) self.preEdgeEndBox.setDecimals(2) self.preEdgeEndBox.setMinimum(-200.0) self.preEdgeEndBox.setMaximum(-1.0) self.preEdgeEndBox.setValue(-40) self.preEdgeEndBox.setSingleStep(5.0) self.preEdgeEndBox.setEnabled(True) # the post-edge postEdgeLabel = qt.QLabel(self) postEdgeLabel.setText("Post-Edge") self.postEdgeSelector = XASNormalizationWindow.PolynomSelector(self) self.postEdgeSelector.setCurrentIndex(3) # post-edge regions postEdgeStartLabel = qt.QLabel(self) postEdgeStartLabel.setText("Begin:") self.postEdgeStartBox = qt.QDoubleSpinBox(self) self.postEdgeStartBox.setDecimals(2) self.postEdgeStartBox.setMinimum(1.0) self.postEdgeStartBox.setMaximum(3000.0) self.postEdgeStartBox.setValue(10) self.postEdgeStartBox.setSingleStep(5.0) self.postEdgeStartBox.setEnabled(True) postEdgeEndLabel = qt.QLabel(self) postEdgeEndLabel.setText("End:") self.postEdgeEndBox = qt.QDoubleSpinBox(self) self.postEdgeEndBox.setDecimals(2) self.postEdgeEndBox.setMinimum(10.0) self.postEdgeEndBox.setMaximum(2000.0) self.postEdgeEndBox.setValue(300) self.postEdgeEndBox.setSingleStep(5.0) self.postEdgeEndBox.setEnabled(True) # arrange everything self.mainLayout.addWidget(normalizationLabel, 0, 0) self.mainLayout.addWidget(self.normalizationSelector, 0, 1) self.mainLayout.addWidget(self.e0CheckBox, 1, 0) self.mainLayout.addWidget(self.e0SpinBox, 1, 1) self.mainLayout.addWidget(jumpLabel, 2, 0) self.mainLayout.addWidget(self.jumpLine, 2, 1) self.mainLayout.addWidget(preEdgeLabel, 3, 0) self.mainLayout.addWidget(self.preEdgeSelector, 3, 1) self.mainLayout.addWidget(preEdgeStartLabel, 4, 0) self.mainLayout.addWidget(self.preEdgeStartBox, 4, 1) self.mainLayout.addWidget(preEdgeEndLabel, 5, 0) self.mainLayout.addWidget(self.preEdgeEndBox, 5, 1) self.mainLayout.addWidget(postEdgeLabel, 6, 0) self.mainLayout.addWidget(self.postEdgeSelector, 6, 1) self.mainLayout.addWidget(postEdgeStartLabel, 7, 0) self.mainLayout.addWidget(self.postEdgeStartBox, 7, 1) self.mainLayout.addWidget(postEdgeEndLabel, 8, 0) self.mainLayout.addWidget(self.postEdgeEndBox, 8, 1) # connect self.normalizationSelector.activated[int].connect(self._normalizationChanged) self.e0CheckBox.toggled.connect(self._e0Toggled) self.e0SpinBox.valueChanged[float].connect(self._e0Changed) self.preEdgeSelector.activated[int].connect(self._preEdgeChanged) self.preEdgeStartBox.valueChanged[float].connect(self._preEdgeStartChanged) self.preEdgeEndBox.valueChanged[float].connect(self._preEdgeEndChanged) self.postEdgeSelector.activated[int].connect(self._postEdgeChanged) self.postEdgeStartBox.valueChanged[float].connect(self._postEdgeStartChanged) self.postEdgeEndBox.valueChanged[float].connect(self._postEdgeEndChanged) def _normalizationChanged(self, value): if DEBUG: print("_normalizationChanged ", value) if self.__connected: self._emitSignal("JumpNormalizationChanged") def setSpectrum(self, energy, mu): # try to detect keV if abs(energy[-1]-energy[0]) < 10: self._energy = energy * 1000. else: self._energy = energy * 1.0 self._mu = mu try: self.__connected = False self._update() finally: self.__connected = True self._emitSignal("SpectrumChanged") def _calculateE0(self): return XASNormalization.getE0SavitzkyGolay(self._energy, self._mu, points=5, full=False) def _e0Toggled(self, state): if state: self.e0SpinBox.setEnabled(False) if self._mu is not None: e0 = self._calculateE0() self.e0SpinBox.setValue(e0) else: self.e0SpinBox.setEnabled(True) def _e0Changed(self, value): if DEBUG: print("E0 CHANGED", value) if self.__connected: try: self.__connected = False self._update() finally: self.__connected = True self._emitSignal("E0Changed") def _preEdgeChanged(self, value): if DEBUG: print("Current pre-edge value = ", value) if self.__connected: self._emitSignal("PreEdgeChanged") def _preEdgeStartChanged(self, value): if DEBUG: print("pre start changed", value) if self.__connected: try: self.__connected = False self._update() finally: self.__connected = True self._emitSignal("PreEdgeChanged") def _preEdgeEndChanged(self, value): if DEBUG: print("pre end changed", value) if self.__connected: try: self.__connected = False self._update() finally: self.__connected = True self._emitSignal("PreEdgeChanged") def _postEdgeChanged(self, value): if DEBUG: print("post-edge changed", value) if self.__connected: self._emitSignal("PostEdgeChanged") def _postEdgeStartChanged(self, value): if DEBUG: print("post-edge start changed", value) if self.__connected: try: self.__connected = False self._update() finally: self.__connected = True self._emitSignal("PostEdgeChanged") def _postEdgeEndChanged(self, value): if DEBUG: print("post-edge changed", value) if self.__connected: try: self.__connected = False self._update() finally: self.__connected = True self._emitSignal("PostEdgeChanged") def _update(self): if self._energy is None: return eMin = self._energy.min() eMax = self._energy.max() current = self.getParameters() if current["E0Method"].lower().startswith("auto") or \ current["E0Value"] < self._energy.min() or \ current["E0Value"] > self._energy.max(): energy = self._calculateE0() current["E0Value"] = energy # energy e0 = current["E0Value"] self.e0SpinBox.setValue(e0) # pre-edge start = e0 + current["PreEdge"]["Regions"][0] end = e0 + current["PreEdge"]["Regions"][-1] if start > end: start, end = end, start start = max(start, eMin) if end <= start: end = 0.5 * (start + energy) self.preEdgeStartBox.setValue(start - e0) self.preEdgeEndBox.setValue(end - e0) # post-edge start = e0 + current["PostEdge"]["Regions"][0] end = e0 + current["PostEdge"]["Regions"][-1] if start > end: start, end = end, start end = min(end, eMax) if end <= start: start = 0.5 * (end + energy) self.postEdgeStartBox.setValue(start - e0) self.postEdgeEndBox.setValue(end - e0) def getParameters(self): ddict = {} # normalization method ddict["JumpNormalizationMethod"] = str(self.normalizationSelector.currentText()) # default values not yet handled by the interface ddict["E0MinValue"] = None ddict["E0MaxValue"] = None if self.e0CheckBox.isChecked(): ddict["E0Method"] = "Auto - 5pt SG" else: ddict["E0Method"] = "Manual" ddict["E0Value"] = self.e0SpinBox.value() # pre-edge ddict["PreEdge"] = {} ddict["PreEdge"] ["Method"] = "Polynomial" ddict["PreEdge"] ["Polynomial"] = str(self.preEdgeSelector.currentText()) # Regions is a single list with 2 * n values delimiting n regions. ddict["PreEdge"] ["Regions"] = [self.preEdgeStartBox.value(), self.preEdgeEndBox.value()] ddict["PostEdge"] = {} ddict["PostEdge"] ["Method"] = "Polynomial" ddict["PostEdge"] ["Polynomial"] = str(self.postEdgeSelector.currentText()) ddict["PostEdge"] ["Regions"] = [self.postEdgeStartBox.value(), self.postEdgeEndBox.value()] return ddict def setParameters(self, ddict, signal=True): if DEBUG: print("setParameters called", ddict, signal) if "Normalization" in ddict: ddict = ddict["Normalization"] try: self.__connected = False if "JumpNormalizationMethod" in ddict: option = ddict["JumpNormalizationMethod"] if type(ddict["JumpNormalizationMethod"]) == type(1): self.normalizationSelector.setCurrentIndex(option) else: selectorOptions = [] for i in range(self.normalizationSelector.count()): selectorOptions.append(str(self.normalizationSelector.itemText(i))) for i in range(len(selectorOptions)): if selectorOptions[i].lower().startswith(str(option).lower()): self.normalizationSelector.setCurrentIndex(i) break if ddict["E0Value"] is None: self.e0CheckBox.setChecked(True) else: self.e0SpinBox.setValue(ddict["E0Value"]) if ddict["E0Method"].lower().startswith("manual"): self.e0CheckBox.setChecked(False) else: self.e0CheckBox.setChecked(True) selectorOptions = self.preEdgeSelector.getOptions() i = 0 for option in selectorOptions: if str(option) == str(ddict["PreEdge"] ["Polynomial"]): self.preEdgeSelector.setCurrentIndex(i) break i += 1 selectorOptions = self.postEdgeSelector.getOptions() i = 0 for option in selectorOptions: if str(option) == str(ddict["PostEdge"] ["Polynomial"]): self.postEdgeSelector.setCurrentIndex(i) break i += 1 self.preEdgeStartBox.setValue(ddict["PreEdge"]["Regions"][0]) self.preEdgeEndBox.setValue(ddict["PreEdge"]["Regions"][-1]) self.postEdgeStartBox.setValue(ddict["PostEdge"]["Regions"][0]) self.postEdgeEndBox.setValue(ddict["PostEdge"]["Regions"][-1]) self._update() finally: self.__connected = True if signal: # E0Changed or SpectrumUpdated self._emitSignal("E0Changed") def _emitSignal(self, event): ddict = self.getParameters() ddict["event"] = event self.jumpLine.setText("") self.sigNormalizationParametersSignal.emit(ddict) def setJump(self, value): self.jumpLine.setText("%f" % value) def setTitleColor(self, color): #self.setStyleSheet("QGroupBox {font-weight: bold; color: red;}") self.setStyleSheet("QGroupBox {color: %s;}" % color) if __name__ == "__main__": DEBUG = 1 app = qt.QApplication([]) def mySlot(ddict): print("Signal received: ", ddict) w = XASNormalizationParameters() w.show() w.sigNormalizationParametersSignal.connect(mySlot) from PyMca5.PyMcaIO import specfilewrapper as specfile from PyMca5.PyMcaDataDir import PYMCA_DATA_DIR if len(sys.argv) > 1: fileName = sys.argv[1] else: fileName = os.path.join(PYMCA_DATA_DIR, "EXAFS_Cu.dat") data = specfile.Specfile(fileName)[0].data()[-2:, :] energy = data[0, :] mu = data[1, :] w.setSpectrum(energy, mu) w.setTitleColor("blue") app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xas/XASSelfattenuationWindow.py0000644000276300001750000004030613136054446025250 0ustar solebliss00000000000000# -*- coding: utf-8 -*- #/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import copy import numpy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMcaFileDialogs from PyMca5.PyMcaPhysics.xrf import Elements from PyMca5.PyMcaGui.physics.xrf import MatrixImage from PyMca5.PyMcaGui.physics.xrf import MaterialEditor from PyMca5.PyMcaIO import ConfigDict if hasattr(qt, "QString"): qstring = qt.QString else: qstring = str DEBUG = 0 class SampleConfiguration(qt.QWidget): def __init__(self, parent=None,orientation="vertical"): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.setContentsMargins(0, 0, 0, 0) # material materialLabel = qt.QLabel(self) materialLabel.setText("Enter material name or formula") self.materialWidget = qt.QComboBox(self) self.materialWidget.setEditable(True) i = 0 for key in Elements.Material.keys(): self.materialWidget.insertItem(i + 1, qstring(key)) i += 1 self.materialWidget.setEditText("Fe") self.editorButton = qt.QPushButton(self) self.editorButton.setText("Show/Hide Editor") self.editorButton.setAutoDefault(False) self.mainLayout.addWidget(materialLabel, 0, 0, 1, 3) self.mainLayout.addWidget(self.materialWidget, 0, 2) self.mainLayout.addWidget(self.editorButton, 0, 3) self.materialEditor = MaterialEditor.MaterialEditor(self) offset = 1 self.mainLayout.addWidget(self.materialEditor, offset, 0, 5, 4) offset += 5 #element elementLabel = qt.QLabel(self) elementLabel.setText("Element") elementWidget = qt.QComboBox(self) for i, symbol in enumerate(Elements.ElementList[2:]): elementWidget.insertItem(i + 1, qstring(symbol + "(%d)" % (i+3))) edgeLabel = qt.QLabel(self) edgeLabel.setText("Edge") edgeWidget = qt.QComboBox(self) self.edgeWidget = edgeWidget self.elementWidget = elementWidget energyLabel = qt.QLabel(self) energyLabel.setText("Energy (eV)") self.energyWidget = qt.QLineEdit(self) self.energyWidget._validator = qt.QDoubleValidator(self.energyWidget) self.energyWidget.setValidator(self.energyWidget._validator) if orientation.lower().startswith("v"): self.mainLayout.addWidget(elementLabel, 0, 0) self.mainLayout.addWidget(elementWidget, 0, 1) self.mainLayout.addWidget(edgeLabel, 1, 0) self.mainLayout.addWidget(edgeWidget, 1, 1) self.mainLayout.addWidget(energyLabel, 2, 0) self.mainLayout.addWidget(self.energyWidget, 2, 1) #self.mainLayout.addWidget(qt.HorizontalSpacer(self), 3, 2) else: self.mainLayout.addWidget(elementLabel, offset + 0, 0) self.mainLayout.addWidget(elementWidget, offset + 1, 0) self.mainLayout.addWidget(edgeLabel, offset + 0, 1) self.mainLayout.addWidget(edgeWidget, offset + 1, 1) self.mainLayout.addWidget(energyLabel, offset + 0, 2, 1, 2) self.mainLayout.addWidget(self.energyWidget, offset + 1, 2, 1, 2) #self.mainLayout.addWidget(qt.HorizontalSpacer(self), 0, 3) self.editorButton.clicked.connect(self.toggleEditor) self.toggleEditor() self._lastMaterial = "Fe" self.materialSignal("Fe") #self.elementWidget.setCurrentIndex(23) #self.elementSignal(23) #self.edgeWidget.setCurrentIndex(0) #self.edgeSignal(0) self.materialWidget.activated[qstring].connect(self.materialSignal) self.elementWidget.activated[qstring].connect(self.elementSignal) self.edgeWidget.activated["int"].connect(self.edgeSignal) self.energyWidget.editingFinished.connect(self.energySignal) def materialSignal(self, txt): txt = str(txt) if Elements.isValidFormula(txt): if DEBUG: print("validFormula") elementDict = Elements.getMaterialMassFractions([txt], [1.0]) elif Elements.isValidMaterial(txt): if DEBUG: print("ValidMaterial") elementDict = Elements.getMaterialMassFractions([txt], [1.0]) else: if DEBUG: print("to be defined") msg=qt.QMessageBox.information(self, "Invalid Material %s" % txt, "The material %s is not a valid Formula " \ "nor a valid Material.\n" \ "Please use the material editor to define materials" % txt) self.materialWidget.setEditText(self._lastMaterial) if self.materialEditor.isHidden(): self.materialEditor.show() return # We have to update the possible elements elements = list(elementDict.keys()) self.updateElementsWidget(elements) def updateElementsWidget(self, elementsList): z = [] iMaxZ = 0 for i, ele in enumerate(elementsList): tmpZ = Elements.ElementList.index(elementsList[i]) + 1 z.append(tmpZ) if tmpZ > z[iMaxZ]: iMaxZ = i currentElement = str(self.elementWidget.currentText()).split("(")[0] self.elementWidget.clear() for i, ele in enumerate(elementsList): if z[i] > 2: self.elementWidget.insertItem(i, qstring(ele + "(%d)" % (z[i]))) if currentElement in elementsList: #selection does not need to be changed if DEBUG: print("Element widget up to date") else: #selection needs to be changed if DEBUG: print("Setting the highest Z as default") self.elementSignal(qstring(elementsList[iMaxZ])) def toggleEditor(self): if self.materialEditor.isHidden(): self.materialEditor.show() else: self.materialEditor.hide() def elementSignal(self, txt): element = str(txt) if "(" in txt: element = element.split("(")[0] options = [] shellList = ["K", "L1", "L2", "L3", "M1", "M2", "M3", "M4", "M5", "N1"] for shell in shellList: if Elements.Element[element]["binding"][shell] > 0.0: options.append(shell) currentShell = str(self.edgeWidget.currentText()) self.edgeWidget.clear() i = 0 for shell in options[:-1]: self.edgeWidget.insertItem(i, qstring(shell)) i += 1 if currentShell in options: idx = options.index(currentShell) else: idx = 0 self.edgeWidget.setCurrentIndex(idx) self.edgeSignal(idx) def edgeSignal(self, idx): shellList = ["K", "L1", "L2", "L3", "M1", "M2", "M3", "M4", "M5"] shell = shellList[idx] element = str(self.elementWidget.currentText()).split("(")[0] energy = Elements.Element[element]["binding"][shell] * 1000. self.energyWidget.setText("%.2f" % energy) def energySignal(self): try: energy = float(self.energyWidget.text()) except: energy = 0.0 if energy <= 0.0: self.edgeSignal(self.edgeWidget.currentIndex()) def setParameters(self, ddict=None): if ddict is None: ddict = {} key = "material" if key in ddict: material = ddict['material'] if Elements.isValidMaterial(material): self.materialWidget.setEditText(material) self.materialSignal(material) else: raise ValueError("Invalid Material %s" % material) key = "element" if key in ddict: ele = ddict[key] for i in range(self.elementWidget.count()): if str(self.elementWidget.itemText(i)).split("(")[0] == ele: self.elementWidget.setCurrentIndex(i) self.elementSignal(ele) key = "edge" if key in ddict: shellList = ["K", "L1", "L2", "L3", "M1", "M2", "M3", "M4", "M5"] idx = shellList.index(ddict[key]) else: idx = 0 self.edgeWidget.setCurrentIndex(idx) self.edgeSignal(idx) key = "energy" if key in ddict: energy = ddict[key] self.energyWidget.setText("%.2f" % energy) def getParameters(self): ddict = {} ddict["material"] = str(self.materialWidget.currentText()) ddict["element"] = str(self.elementWidget.currentText()).split("(")[0] ddict["edge"] = str(self.edgeWidget.currentText()) ddict["energy"] = float(self.energyWidget.text()) return ddict class GeometryConfiguration(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.setContentsMargins(0, 0, 0, 0) self.imageLabel = qt.QLabel(self) self.imageLabel.setPixmap(qt.QPixmap(MatrixImage.image_medium)) self.angleWidgets = [] self.mainLayout.addWidget(self.imageLabel, 0, 0, 2, 2) i = 0 for item in ["Alpha In", "Alpha Out"]: label = qt.QLabel(self) label.setText(item +"(deg) :") lineEdit = qt.QLineEdit(self) validator = qt.QDoubleValidator(lineEdit) lineEdit.setValidator(validator) lineEdit._v = validator lineEdit.setText("45.0") self.angleWidgets.append(lineEdit) self.mainLayout.addWidget(label, i, 3) self.mainLayout.addWidget(lineEdit, i, 4) i += 1 def getParameters(self): ddict = {} ddict['angles'] = [float(self.angleWidgets[0].text()), float(self.angleWidgets[1].text())] return ddict def setParameters(self, ddict): if 'angles' in ddict: self.angleWidgets[0].setText("%.2f" % ddict['angles'][0]) self.angleWidgets[1].setText("%.2f" % ddict['angles'][1]) class XASSelfattenuationWidget(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.setContentsMargins(0, 0, 0, 0) self.element = SampleConfiguration(self, orientation="horizontal") self.geometry = GeometryConfiguration(self) self.mainLayout.addWidget(self.element) self.mainLayout.addWidget(self.geometry) self.mainLayout.addWidget(qt.VerticalSpacer(self)) def setParameters(self, ddict): if "XAS" in ddict: self.element.setParameters(ddict['XAS']) self.geometry.setParameters(ddict['XAS']) else: self.element.setParameters(ddict) self.geometry.setParameters(ddict) def getParameters(self): ddict = {} ddict['XAS'] = self.element.getParameters() ddict['XAS'].update(self.geometry.getParameters()) return ddict class XASSelfattenuationDialog(qt.QDialog): def __init__(self, parent=None): qt.QDialog.__init__(self, parent) self.setWindowTitle("XAS self-attenuation dialog") self.mainLayout = qt.QVBoxLayout(self) self.setContentsMargins(0, 0, 0, 0) self.configurationWidget = XASSelfattenuationWidget(self) self.actionsBox = qt.QWidget(self) self.actionsBox.mainLayout = qt.QHBoxLayout(self.actionsBox) self.actionsBox.setContentsMargins(0, 0, 0, 0) self.loadButton = qt.QPushButton(self.actionsBox) self.loadButton.setText("Load") self.loadButton.setAutoDefault(False) self.saveButton = qt.QPushButton(self.actionsBox) self.saveButton.setText("Save") self.saveButton.setAutoDefault(False) self.cancelButton = qt.QPushButton(self.actionsBox) self.cancelButton.setText("Cancel") self.cancelButton.setAutoDefault(False) self.okButton = qt.QPushButton(self.actionsBox) self.okButton.setText("OK") self.okButton.setAutoDefault(False) self.actionsBox.mainLayout.addWidget(self.loadButton) self.actionsBox.mainLayout.addWidget(self.saveButton) self.actionsBox.mainLayout.addWidget(self.cancelButton) self.actionsBox.mainLayout.addWidget(self.okButton) self.mainLayout.addWidget(self.configurationWidget) self.mainLayout.addWidget(self.actionsBox) self.mainLayout.addWidget(qt.VerticalSpacer(self)) self.loadButton.clicked.connect(self.loadSignal) self.saveButton.clicked.connect(self.saveSignal) self.cancelButton.clicked.connect(self.reject) self.okButton.clicked.connect(self.accept) def loadSignal(self): fileList = PyMcaFileDialogs.getFileList(self, filetypelist=['cfg file (*.cfg)'], mode="OPEN", single=True, getfilter=False) if len(fileList): self.loadConfiguration(fileList[0]) def saveSignal(self): fileList = PyMcaFileDialogs.getFileList(self, filetypelist=['cfg file (*.cfg)'], mode="SAVE", single=True, getfilter=False) if len(fileList): self.saveConfiguration(fileList[0]) def reject(self): return qt.QDialog.reject(self) def accept(self): return qt.QDialog.accept(self) def getConfiguration(self): return self.configurationWidget.getParameters() def setConfiguration(self, ddict): self.configurationWidget.setParameters(ddict) def loadConfiguration(self, filename): d = ConfigDict.ConfigDict() d.read(filename) self.setConfiguration(d['XAS']) def saveConfiguration(self, filename): d = ConfigDict.ConfigDict() d['XAS'] = {} ddict = self.getConfiguration() if 'XAS' in ddict: d['XAS'].update(ddict['XAS']) else: d['XAS'].update(ddict) d.write(filename) if __name__ == "__main__": app = qt.QApplication([]) w = XASSelfattenuationDialog() w.setConfiguration({"material":"Goethite"}) ret = w.exec_() if ret: cfg = w.getConfiguration() print(cfg) cfg['material'] = "Fe" w.setConfiguration(cfg) ret = w.exec_() if ret: cfg = w.getConfiguration() print(cfg) PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xas/XASPostEdgeParameters.py0000644000276300001750000003331413136054446024452 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict DEBUG = 0 def myFloat(x): try: return float(x) except ValueError: if ',' in x: try: return float(x.replace(',','.')) except: return float(x) elif '.' in x: try: return float(x.replace('.',',')) except: return float(x) else: raise class XASPostEdgeParameters(qt.QGroupBox): sigPostEdgeParametersSignal = qt.pyqtSignal(object) def __init__(self, parent=None, color=None): super(XASPostEdgeParameters, self).__init__(parent) self.setTitle("EXAFS") self.build() if color is not None: self.setTitleColor(color) def build(self): self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) # k Min kMinLabel = qt.QLabel(self) kMinLabel.setText("K Min:") self.kMinBox = qt.QDoubleSpinBox(self) self.kMinBox.setDecimals(2) self.kMinBox.setMinimum(0.0) self.kMinBox.setValue(2.0) self.kMinBox.setSingleStep(0.1) self.kMinBox.setEnabled(True) # k Max kMaxLabel = qt.QLabel(self) kMaxLabel.setText("K Max:") self.kMaxBox = qt.QDoubleSpinBox(self) self.kMaxBox.setDecimals(2) self.kMaxBox.setMaximum(25.0) self.kMaxBox.setValue(20.0) self.kMaxBox.setSingleStep(0.1) self.kMaxBox.setEnabled(True) # k Weight kWeightLabel = qt.QLabel(self) kWeightLabel.setText("K Weight:") self.kWeightBox = qt.QSpinBox(self) self.kWeightBox.setMinimum(0) self.kWeightBox.setMaximum(3) self.kWeightBox.setValue(0) self.kWeightBox.setSingleStep(1) self.kWeightBox.setEnabled(True) # knots knotsLabel = qt.QLabel(self) knotsLabel.setText("Knots:") self.knotsBox = qt.QSpinBox(self) self.knotsBox.setMinimum(0) self.knotsBox.setMaximum(5) self.knotsBox.setValue(3) self.knotsBox.setEnabled(True) # table of knots positionLabel = qt.QLabel(self) positionLabel.setText("Region Start") degreeLabel = qt.QLabel(self) degreeLabel.setText("Degree") self._knotPositions = [] self._knotDegrees = [] for i in range(self.knotsBox.maximum()+1): position = qt.QDoubleSpinBox(self) position.setSingleStep(0.1) degree = qt.QSpinBox(self) degree.setMinimum(1) degree.setMaximum(3) degree.setValue(3) self._knotPositions.append(position) self._knotDegrees.append(degree) if i > self.knotsBox.value(): position.setEnabled(False) degree.setEnabled(False) if i == 0: position.setEnabled(False) # arrange everything self.mainLayout.addWidget(kMinLabel, 0, 0) self.mainLayout.addWidget(self.kMinBox, 0, 1) self.mainLayout.addWidget(kMaxLabel, 1, 0) self.mainLayout.addWidget(self.kMaxBox, 1, 1) self.mainLayout.addWidget(kWeightLabel, 2, 0) self.mainLayout.addWidget(self.kWeightBox, 2, 1) self.mainLayout.addWidget(knotsLabel, 3, 0) self.mainLayout.addWidget(self.knotsBox, 3, 1) self.mainLayout.addWidget(positionLabel, 4, 0) self.mainLayout.addWidget(degreeLabel, 4, 1) lastRow = 4 for i in range(self.knotsBox.maximum()+1): lastRow += 1 self.mainLayout.addWidget(self._knotPositions[i], lastRow, 0) self.mainLayout.addWidget(self._knotDegrees[i], lastRow, 1) # initialize values self._fillKnots() # connect self.kMinBox.valueChanged[float].connect(self._kMinChanged) self.kMaxBox.valueChanged[float].connect(self._kMaxChanged) self.kWeightBox.valueChanged[int].connect(self._kWeightChanged) self.knotsBox.valueChanged[int].connect(self._knotNumberChanged) for i in range(self.knotsBox.maximum() + 1): self._knotPositions[i].valueChanged[float].connect(self._knotChanged) self._knotDegrees[i].valueChanged[int].connect(self._degreeChanged) self.__connected = True def _knotNumberChanged(self, value): if DEBUG: print("Current number of knots = ", value) oldValue = self.__connected self.__connected = False try: for i in range(self.knotsBox.maximum()+1): if i < value+1: enabled = True else: enabled = False self._knotPositions[i].setEnabled(enabled) self._knotDegrees[i].setEnabled(enabled) self._knotPositions[0].setEnabled(False) self._fillKnots() finally: self.__connected = oldValue if self.__connected: self.emitSignal("KnotNumberChanged") def _kMinChanged(self, value): if DEBUG: print("Current kMin Value =", value) oldValue = self.__connected self.__connected = False try: self._fillKnots() finally: self.__connected = oldValue if self.__connected: self.emitSignal("KMinChanged") def _kMaxChanged(self, value): if DEBUG: print("Current kMax Value =", value) if value <= self.kMinBox.value(): # I should check if we have the focus prior to # raise any error. # This situation happens during manual editing return oldValue = self.__connected self.__connected = False try: self._fillKnots() finally: self.__connected = oldValue if self.__connected: self.emitSignal("KMaxChanged") def _kWeightChanged(self, value): if DEBUG: print("Current kWeight Value =", value) if self.__connected: self.emitSignal("KWeightChanged") def _knotChanged(self, value): if DEBUG: print("One knot has been changed = ", value) # adjust limits oldValue = self.__connected self.__connected = False try: kMax = self.kMaxBox.value() for i in range(self.knotsBox.maximum()+1): if self._knotPositions[i].isEnabled(): # the first one is never enabled singleStep = self._knotPositions[i].singleStep() minimum = self._knotPositions[i-1].value() + singleStep self._knotPositions[i].setMinimum(minimum) if i < self.knotsBox.maximum(): maximum = self._knotPositions[i+1].value() - singleStep else: maximum = kMax self._knotPositions[i].setMaximum(maximum) else: self._knotPositions[i].setMaximum(kMax) finally: self.__connected = oldValue if self.__connected: self.emitSignal("KnotPositionChanged") def _degreeChanged(self, value): if DEBUG: print("One knot polynomial degree changed", value) if self.__connected: self.emitSignal("KnotOrderChanged") def getParameters(self): ddict = {} ddict["KMin"] = self.kMinBox.value() ddict["KMax"] = self.kMaxBox.value() ddict["KWeight"] = self.kWeightBox.value() ddict["Knots"] = {} ddict["Knots"]["Number"] = self.knotsBox.value() ddict["Knots"]["Values"] = [] ddict["Knots"]["Orders"] = [] for i in range(ddict["Knots"]["Number"]+1): txt = str(self._knotPositions[i].text()) if i == 0: pass #ddict["Knots"]["Values"].append(ddict["KMin"]) else: ddict["Knots"]["Values"].append(myFloat(txt)) ddict["Knots"]["Orders"].append(self._knotDegrees[i].value()) return ddict def setParameters(self, ddict, signal=True): if DEBUG: print("setParameters called", ddict, signal) if "EXAFS" in ddict: ddict = ddict["EXAFS"] elif "PostEdge" in ddict: ddict = ddict["PostEdge"] try: self.__connected = False kMin = ddict.get("KMin", self.kMinBox.value()) if kMin is not None: self.kMinBox.setValue(kMin) kMax = ddict.get("KMax", self.kMaxBox.value()) if kMax is not None: self.kMaxBox.setValue(kMax) kWeight = ddict.get("KWeight", self.kWeightBox.value()) if kWeight is not None: self.kWeightBox.setValue(kWeight) nKnots = self.knotsBox.value() if "Knots" in ddict: self.knotsBox.setValue(ddict["Knots"].get("Number", nKnots)) nKnots = self.knotsBox.value() positions, orders = self._getDefaultKnots(knots=nKnots) n = len(positions) for i in range(self.knotsBox.maximum()+1): if i < n: enabled = True else: enabled = False self._knotPositions[i].setEnabled(enabled) self._knotDegrees[i].setEnabled(enabled) self._knotPositions[0].setEnabled(False) if "Knots" in ddict: newPositions = ddict["Knots"].get("Values", positions) if newPositions is not None: if hasattr(newPositions, "__len__"): positions = newPositions else: positions = [newPositions] orders = ddict["Knots"].get("Orders", orders) if len(positions) == (len(orders) - 1): positions = [self.kMinBox.value()] + list(positions) self._fillKnots(positions, orders) finally: self.__connected = True if signal: # any signal do the job self.emitSignal("KMaxChanged") def _fillKnots(self, positions=None, orders=None): if (positions is None) and (orders is None): positions, orders = self._getDefaultKnots() kMin = self.kMinBox.value() kMax = self.kMaxBox.value() for i in range(self.knotsBox.maximum() + 1): self._knotPositions[i].setMinimum(kMin) self._knotPositions[i].setMaximum(kMax) n = len(positions) for i in range(n): self._knotPositions[i].setValue(positions[i]) self._knotDegrees[i].setValue(orders[i]) for i in range(n, self.knotsBox.maximum()+1): self._knotPositions[i].setValue(kMax) def _getDefaultKnots(self, kMin=None, kMax=None, knots=None): if kMin is None: kMin = self.kMinBox.value() if kMax is None: kMax = self.kMaxBox.value() if knots is None: knots = self.knotsBox.value() positions = [kMin] degrees = [3] delta = (kMax - kMin) / (knots + 1.0) for i in range(knots): positions.append(kMin + (i + 1) * delta) # here I could do something as function of k degrees.append(3) return positions, degrees def emitSignal(self, event): ddict = self.getParameters() ddict["event"] = event self.sigPostEdgeParametersSignal.emit(ddict) def setMaximumK(self, value): self.kMaxBox.setMaximum(value) current = self.kMaxBox.value() if current > (value+0.01): self.kMaxBox.setValue(value) def setTitleColor(self, color): #self.setStyleSheet("QGroupBox {font-weight: bold; color: red;}") self.setStyleSheet("QGroupBox {color: %s;}" % color) if __name__ == "__main__": DEBUG = 1 app = qt.QApplication([]) def testSlot(ddict): print("Emitted signal = ", ddict) w = XASPostEdgeParameters() w.sigPostEdgeParametersSignal.connect(testSlot) w.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xas/XASParameters.py0000644000276300001750000002240713136054446023020 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from PyMca5.PyMcaGui import XASNormalizationParameters from PyMca5.PyMcaGui import XASPostEdgeParameters from PyMca5.PyMcaGui import XASFourierTransformParameters from PyMca5.PyMcaGui import PyMcaFileDialogs from PyMca5.PyMcaIO import ConfigDict DEBUG = 0 class XASParameters(qt.QWidget): sigXASParametersSignal = qt.pyqtSignal(object) def __init__(self, parent=None, color=None): super(XASParameters, self).__init__(parent) self.setWindowTitle("XAS Parameters") self.build() if color is not None: self.setTitleColor(color) def build(self): # perhaps the layout will change to a QGridLayout self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.normalizationWidget = \ XASNormalizationParameters.XASNormalizationParameters(self) self.postEdgeWidget = \ XASPostEdgeParameters.XASPostEdgeParameters(self) self.fourierTransformWidget = \ XASFourierTransformParameters.XASFourierTransformParameters(self) self.mainLayout.addWidget(self.normalizationWidget) self.mainLayout.addWidget(self.postEdgeWidget) self.mainLayout.addWidget(self.fourierTransformWidget) self.mainLayout.addWidget(qt.VerticalSpacer(self)) container = qt.QWidget(self) container.mainLayout = qt.QHBoxLayout(container) container.mainLayout.setContentsMargins(0, 0, 0, 0) container.mainLayout.setSpacing(2) self.loadButton = qt.QPushButton(container) self.loadButton.setText("Load") self.loadButton.setAutoDefault(False) self.saveButton = qt.QPushButton(container) self.saveButton.setText("Save") self.saveButton.setAutoDefault(False) container.mainLayout.addWidget(self.loadButton) container.mainLayout.addWidget(self.saveButton) self.mainLayout.addWidget(container) # add function self.setJump = self.normalizationWidget.setJump self.setMaximumK = self.postEdgeWidget.setMaximumK # connect self.normalizationWidget.sigNormalizationParametersSignal.connect( \ self._normalizationSlot) self.postEdgeWidget.sigPostEdgeParametersSignal.connect( \ self._postEdgeParameterSlot) self.fourierTransformWidget.sigFTParametersSignal.connect( \ self._fourierTransformParameterSlot) self.loadButton.clicked.connect(self._loadClicked) self.saveButton.clicked.connect(self._saveClicked) def setMaximumK(self, value): self.postEdgeWidget.setMaximumK(value) self.fourierTransformWidget.setMaximumK(value) def emitSignal(self, event): ddict = self.getParameters() ddict["event"] = event self.sigPostEdgeParametersSignal.emit(ddict) def getParameters(self): ddict = {} ddict["Version"] = 1.0 ddict["Normalization"] = self.getNormalizationParameters() ddict["EXAFS"] = self.getPostEdgeParameters() ddict["FT"] = self.getFTParameters() return ddict def getNormalizationParameters(self): return self.normalizationWidget.getParameters() def getPostEdgeParameters(self): return self.postEdgeWidget.getParameters() def getFTParameters(self): return self.fourierTransformWidget.getParameters() def setParameters(self, ddict): if "Normalization" in ddict: self.setNormalizationParameters(ddict["Normalization"]) if "EXAFS" in ddict: self.setPostEdgeParameters(ddict["EXAFS"]) if "FT" in ddict: self.setFTParameters(ddict["FT"]) def setNormalizationParameters(self, ddict): self.normalizationWidget.setParameters(ddict) def setPostEdgeParameters(self, ddict): self.postEdgeWidget.setParameters(ddict) def setFTParameters(self, ddict): self.fourierTransformWidget.setParameters(ddict) #self._FTParameters = ddict def _normalizationSlot(self, ddict): # Should I change the event to "NormalizationChanged"? self._emitSignal(ddict["event"]) def _postEdgeParameterSlot(self, ddict): if DEBUG: print("_postEdgeParameterSlot ", ddict) # Should I change the event to "EXAFSChanged"? self.fourierTransformWidget.setKRange([ddict["KMin"], ddict["KMax"]]) self._emitSignal(ddict["event"]) def _fourierTransformParameterSlot(self, ddict): # Should I change the event to "FTChanged"? self._emitSignal(ddict["event"]) def _emitSignal(self, event): ddict = self.getParameters() ddict["event"] = event self.sigXASParametersSignal.emit(ddict) def setSpectrum(self, energy, mu): return self.normalizationWidget.setSpectrum(energy, mu) def setJump(self, value): return self.normalizationWidget.setJump(value) def _loadClicked(self): return self.loadParameters() def loadParameters(self, fname=None): if fname is None: fname = PyMcaFileDialogs.getFileList(self, filetypelist=["Configuration (*.ini)", "Configuration (*.cfg)", "All files (*)"], message="Please set input file name", mode="OPEN", getfilter=False, single=True) if len(fname): fname = fname[0] else: return d = ConfigDict.ConfigDict() d.read(fname) self.setParameters(d["XASParameters"]) def _saveClicked(self): return self.saveParameters() def saveParameters(self, fname=None): if fname is None: fname = PyMcaFileDialogs.getFileList(self, filetypelist=["Configuration (*.ini)", "Configuration (*.cfg)"], message="Please enter output file name", mode="SAVE", getfilter=False, single=True) if len(fname): fname = fname[0] else: return ddict = ConfigDict.ConfigDict() ddict["XASParameters"] = self.getParameters() ddict.write(fname) def setTitleColor(self, color): try: self.normalizationWidget.setTitleColor(color) self.postEdgeWidget.setTitleColor(color) self.fourierTransformWidget.setTitleColor(color) except: print("Error setting title color", sys.exc_info()) if __name__ == "__main__": DEBUG = 1 app = qt.QApplication([]) def testSlot(ddict): print("Emitted signal = ", ddict) w = XASParameters() w.sigXASParametersSignal.connect(testSlot) w.show() try: import os from PyMca5.PyMcaIO import specfilewrapper as specfile from PyMca5.PyMcaDataDir import PYMCA_DATA_DIR if len(sys.argv) > 1: fileName = sys.argv[1] else: fileName = os.path.join(PYMCA_DATA_DIR, "EXAFS_Cu.dat") data = specfile.Specfile(fileName)[0].data()[-2:, :] energy = data[0, :] mu = data[1, :] w.setSpectrum(energy, mu) except: print("ERROR: ", sys.exc_info()) app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/physics/xas/XASWindow.py0000644000276300001750000003311513136054446022162 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import sys import numpy import traceback import copy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from PyMca5.PyMcaGui import PlotWindow from PyMca5.PyMcaGui import XASParameters from PyMca5.PyMca import XASClass DEBUG = 0 class XASDialog(qt.QDialog): def __init__(self, parent=None, analyzer=None, backend=None): super(XASDialog, self).__init__(parent) self.setWindowTitle("XAS Window") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) # the main window self.xasWindow = XASWindow(self, analyzer=analyzer, backend=backend) self.setSpectrum = self.xasWindow.setSpectrum self.setConfiguration = self.xasWindow.setConfiguration self.getConfiguration = self.xasWindow.getConfiguration # the actions actionContainer = qt.QWidget(self) actionContainer.mainLayout = qt.QHBoxLayout(actionContainer) actionContainer.mainLayout.setContentsMargins(0, 0, 0, 0) actionContainer.mainLayout.setSpacing(2) self.acceptButton = qt.QPushButton(actionContainer) self.acceptButton.setText("Accept Seen Configuration") self.acceptButton.setAutoDefault(False) self.acceptButton.clicked.connect(self.accept) self.cancelButton = qt.QPushButton(actionContainer) self.cancelButton.setText("Reject Seen Configuration") self.cancelButton.setAutoDefault(False) self.cancelButton.clicked.connect(self.reject) actionContainer.mainLayout.addWidget(self.acceptButton) actionContainer.mainLayout.addWidget(self.cancelButton) # arrange things #self.actionContainer = actionContainer self.mainLayout.addWidget(self.xasWindow) self.mainLayout.addWidget(actionContainer) class XASWindow(qt.QMainWindow): def __init__(self, parent=None, analyzer=None, color="blue", backend=None): super(XASWindow, self).__init__(parent) self.setWindowTitle("XAS Window") if parent is not None: # behave as a widget self.setWindowFlags(qt.Qt.Widget) if analyzer is None: analyzer = XASClass.XASClass() self.mdiArea = XASMdiArea(self, analyzer=analyzer, backend=backend) self.setCentralWidget(self.mdiArea) self.parametersDockWidget = qt.QDockWidget(self) self.parametersDockWidget.layout().setContentsMargins(0, 0, 0, 0) self.parametersWidget = XASParameters.XASParameters(color=color) self.parametersDockWidget.setWidget(self.parametersWidget) self.addDockWidget(qt.Qt.RightDockWidgetArea, self.parametersDockWidget) # connect self.parametersWidget.sigXASParametersSignal.connect(self._parametersSlot) self.mdiArea.sigXASMdiAreaSignal.connect(self._update) def setSpectrum(self, energy, mu): self.mdiArea.setSpectrum(energy, mu) self.parametersWidget.setSpectrum(energy, mu) def setConfiguration(self, ddict): self.mdiArea.setConfiguration(ddict) self.parametersWidget.setParameters(ddict) def getConfiguration(self, ddict): return self.mdiArea.getConfiguration() def setParameters(self, ddict): self.parametersWidget.setParameters(ddict) def getParameters(self): return self.parametersWidget.getParameters() def _parametersSlot(self, ddict): if DEBUG: print("XASWindow.parametersSlot", ddict) analyzer = self.mdiArea.analyzer if "XASParameters" in ddict: ddict = ddict["XASParameters"] analyzer.setConfiguration(ddict) if DEBUG: print("ANALYZER CONFIGURATION FINAL") print(analyzer.getConfiguration()) self.update() def update(self, ddict=None): if ddict is None: # The emitted signal will reach self._update ddict = self.mdiArea.update() else: self._update(ddict) def _update(self, ddict): jump = ddict["Jump"] e0 = ddict["Edge"] maximumKRange = XASClass.e2k(ddict["NormalizedEnergy"][-1] - e0) self.parametersWidget.setJump(jump) self.parametersWidget.setMaximumK(maximumKRange) def setTitleColor(self, color): self.parametersWidget.setTitleColor(color) class XASMdiArea(qt.QMdiArea): sigXASMdiAreaSignal = qt.pyqtSignal(object) def __init__(self, parent=None, analyzer=None, backend=None): super(XASMdiArea, self).__init__(parent) if analyzer is None: analyzer = XASClass.XASClass() self.analyzer = analyzer #self.setActivationOrder(qt.QMdiArea.CreationOrder) self._windowDict = {} self._windowList = ["Spectrum", "Post-edge", "Signal", "FT"] self._windowList.reverse() for title in self._windowList: plot = PlotWindow.PlotWindow(self, #control=True, position=True, backend=backend) plot.setWindowTitle(title) self.addSubWindow(plot) self._windowDict[title] = plot plot.setDataMargins(0, 0, 0.025, 0.025) self._windowList.reverse() self.setActivationOrder(qt.QMdiArea.StackingOrder) self.tileSubWindows() #self.cascadeSubWindows() #for window in self.subWindowList(): # print(" window = ", window.windowTitle()) def getConfiguration(self): return self.analyzer.getConfiguration() def setConfiguration(self, ddict): # TODO: try except message return self.analyzer.setConfiguration(ddict) def setSpectrum(self, energy, mu): for key in self._windowDict: self._windowDict[key].clearCurves() # try to detect if we are working in eV or in keV if energy [0] < 200: if abs(energy[-1] - energy[0]) < 10: energy = energy * 1000. self._windowDict["Spectrum"].addCurve(energy, mu, legend="Spectrum", xlabel="Energy (eV)", ylabel="Absorption (a.u.)") return self.analyzer.setSpectrum(energy, mu) def update(self, ddict=None): if ddict is None: ddict = self.analyzer.processSpectrum() idx = (ddict["NormalizedEnergy"] >= ddict["NormalizedPlotMin"]) & \ (ddict["NormalizedEnergy"] <= ddict["NormalizedPlotMax"]) plot = self._windowDict["Spectrum"] e0 = ddict["Edge"] plot.addCurve(ddict["Energy"] - e0, ddict["Mu"], legend="Spectrum", xlabel="Energy (eV)", ylabel="Absorption (a.u.)", replot=False, replace=True) plot.addCurve(ddict["NormalizedEnergy"][idx] - e0, ddict["NormalizedMu"][idx], legend="Normalized", xlabel="Energy (eV)", ylabel="Absorption (a.u.)", yaxis="right", replot=False) plot.addCurve(ddict["NormalizedEnergy"] - e0, ddict["NormalizedSignal"], legend="Post", replot=False) plot.addCurve(ddict["NormalizedEnergy"] - e0, ddict["NormalizedBackground"], legend="Pre",replot=False) plot.resetZoom() #idxK = ddict["EXAFSKValues"] >= 0 idx = (ddict["EXAFSKValues"] >= ddict["KMin"]) & \ (ddict["EXAFSKValues"] <= ddict["KMax"]) plot = self._windowDict["Post-edge"] plot.addCurve(ddict["EXAFSKValues"][idx], ddict["EXAFSSignal"][idx], legend="EXAFSSignal", xlabel="K", ylabel="Normalized Units", replace=True, replot=False) plot.addCurve(ddict["EXAFSKValues"][idx], ddict["PostEdgeB"][idx], legend="PostEdge", xlabel="K", ylabel="Normalized Units", color="blue", replot=False) if 0: plot.clearMarkers() for i in range(len(ddict["KnotsX"])): plot.insertMarker(ddict["KnotsX"][i], ddict["KnotsY"][i], legend="Knot %d" % (i+1), text="Knot %d" % (i+1), replot=False, draggable=False, selectable=False, color="orange") else: plot.addCurve(ddict["KnotsX"], ddict["KnotsY"], legend="Knots", replot=False, linestyle="", symbol="o", color="orange") plot.resetZoom() plot = self._windowDict["Signal"] if ddict["KWeight"]: if ddict["KWeight"] == 1: ylabel = "EXAFS Signal * k" else: ylabel = "EXAFS Signal * k^%d" % ddict["KWeight"] else: ylabel = "EXAFS Signal" plot.addCurve(ddict["EXAFSKValues"][idx], ddict["EXAFSNormalized"][idx], legend="Normalized EXAFS", xlabel="K", ylabel=ylabel, replace=True, replot=False) plot.addCurve(ddict["FT"]["K"], ddict["FT"]["WindowWeight"], legend="FT Window", xlabel="K", ylabel="Weight", yaxis="right", color="red", replace=False, replot=False) plot.resetZoom() plot = self._windowDict["FT"] plot.addCurve(ddict["FT"]["FTRadius"], ddict["FT"]["FTIntensity"], legend="FT Intensity", xlabel="R (Angstrom)", ylabel="Arbitrary Units", replace=True, replot=False) """ plot.addCurve(ddict["FT"]["FTRadius"], ddict["FT"]["FTReal"], legend="FT Real", xlabel="R (Angstrom)", ylabel="Arbitrary Units", color="green", replace=False, replot=False) """ plot.addCurve(ddict["FT"]["FTRadius"], ddict["FT"]["FTImaginary"], legend="FT Imaginary", xlabel="R (Angstrom)", ylabel="Arbitrary Units", color="red", replace=False, replot=False) plot.resetZoom() self.sigXASMdiAreaSignal.emit(ddict) if __name__ == "__main__": DEBUG = 1 app = qt.QApplication([]) from PyMca5.PyMcaIO import specfilewrapper as specfile from PyMca5.PyMcaDataDir import PYMCA_DATA_DIR if len(sys.argv) > 1: fileName = sys.argv[1] else: fileName = os.path.join(PYMCA_DATA_DIR, "EXAFS_Ge.dat") data = specfile.Specfile(fileName)[0].data()[-2:, :] energy = data[0, :] mu = data[1, :] if 0: w = XASWindow() w.show() w.setSpectrum(energy, mu) w.update() app.exec_() else: from PyMca5.PyMca import XASClass ownAnalyzer = XASClass.XASClass() configuration = ownAnalyzer.getConfiguration() w = XASDialog() w.setSpectrum(energy, mu) w.setConfiguration(configuration) print("SENT CONFIGURATION", configuration["Normalization"]) if w.exec_(): print("PARAMETERS = ", w.getConfiguration()) else: print("PARAMETERS = ", configuration) PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/0000755000276300001750000000000013205526235017342 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/MaskScatterWidget.py0000644000276300001750000012274613136054446023320 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" ___doc__ = """ This module implements a scatter plot with selection capabilities. It is structured in three superposed layers: - First (deepest) layer containing the original points as they came. - Second layer containing the scatter plot density map. - Final layer containing the selected points with the selected colors. """ import sys import os import numpy from PyMca5.PyMcaGraph.ctools import pnpoly DEBUG = 0 from . import PlotWindow from . import MaskImageWidget from . import MaskImageTools qt = PlotWindow.qt if hasattr(qt, "QString"): QString = qt.QString else: QString = qt.safe_str IconDict = PlotWindow.IconDict class MaskScatterWidget(PlotWindow.PlotWindow): sigMaskScatterWidgetSignal = qt.pyqtSignal(object) DEFAULT_COLORMAP_INDEX = 2 DEFAULT_COLORMAP_LOG_FLAG = True def __init__(self, parent=None, backend=None, plugins=False, newplot=False, control=False, position=False, maxNRois=1, grid=False, logx=False, logy=False, togglePoints=False, normal=True, polygon=True, colormap=True, aspect=True, imageIcons=True, bins=None, **kw): super(MaskScatterWidget, self).__init__(parent=parent, backend=backend, plugins=plugins, newplot=newplot, control=control, position=position, grid=grid, logx=logx, logy=logy, togglePoints=togglePoints, normal=normal, aspect=aspect, colormap=colormap, imageIcons=imageIcons, polygon=polygon, **kw) self._buildAdditionalSelectionMenuDict() self._selectionCurve = None self._selectionMask = None self._selectionColors = numpy.zeros((len(self.colorList), 4), numpy.uint8) self._alphaLevel = None for i in range(len(self.colorList)): self._selectionColors[i, 0] = eval("0x" + self.colorList[i][-2:]) self._selectionColors[i, 1] = eval("0x" + self.colorList[i][3:-2]) self._selectionColors[i, 2] = eval("0x" + self.colorList[i][1:3]) self._selectionColors[i, 3] = 0xff self._maxNRois = maxNRois self._nRoi = 1 self._zoomMode = True self._eraseMode = False self._brushMode = False self._brushWidth = 5 self._brushMenu = None self._bins = bins self._densityPlotWidget = None self._pixmap = None self.setPlotViewMode("scatter", bins=bins) self.setDrawModeEnabled(False) def setPlotViewMode(self, mode="scatter", bins=None): if mode.lower() != "density": self._activateScatterPlotView() else: self._activateDensityPlotView(bins) def _activateScatterPlotView(self): self._plotViewMode = "scatter" for key in ["colormap", "brushSelection", "brush"]: self.setToolBarActionVisible(key, False) if hasattr(self, "eraseSelectionToolButton"): self.eraseSelectionToolButton.setToolTip("Set erase mode if checked") self.eraseSelectionToolButton.setCheckable(True) if self._eraseMode: self.eraseSelectionToolButton.setChecked(True) else: self.eraseSelectionToolButton.setChecked(False) if hasattr(self, "polygonSelectionToolButton"): self.polygonSelectionToolButton.setCheckable(True) if hasattr(self, "rectSelectionToolButton"): self.rectSelectionToolButton.setCheckable(True) if hasattr(self, "brushSelectionToolButton"): if self.brushSelectionToolButton.isChecked(): self.brushSelectionToolButton.setChecked(False) self._brushMode = False self.setZoomModeEnabled(True) self.clearImages() self._updatePlot() def _activateDensityPlotView(self, bins=None): self._plotViewMode = "density" for key in ["colormap", "brushSelection", "brush", "rectangle"]: self.setToolBarActionVisible(key, True) if hasattr(self, "eraseSelectionToolButton"): self.eraseSelectionToolButton.setCheckable(True) if hasattr(self, "brushSelectionToolButton"): self.brushSelectionToolButton.setCheckable(True) if hasattr(self, "polygonSelectionToolButton"): self.polygonSelectionToolButton.setCheckable(True) if hasattr(self, "rectSelectionToolButton"): self.rectSelectionToolButton.setCheckable(True) if DEBUG: if self._densityPlotWidget is None: self._densityPlotWidget = MaskImageWidget.MaskImageWidget( imageicons=True, selection=True, profileselection=True, aspect=True, polygon=True) self._densityPlotWidget.sigMaskImageWidgetSignal.connect(self._densityPlotSlot) self._updateDensityPlot(bins) # only show it in debug mode self._densityPlotWidget.show() curve = self.getCurve(self._selectionCurve) if curve is None: return x, y, legend, info = curve[0:4] self.setSelectionCurveData(x, y, legend=legend, info=info) def getDensityData(self, bins=None): curve = self.getCurve(self._selectionCurve) if curve is None: return x, y, legend, info = curve[0:4] if bins is not None: if type(bins) == type(1): bins = (bins, bins) elif len(bins) == 0: bins = (bins[0], bins[0]) else: bins = bins[0:2] elif self._bins is None: bins = [int(x.size/ 10), int(y.size/10)] if bins[0] > 100: bins[0] = 100 elif bins[0] < 2: bins[0] = 2 if bins[1] > 100: bins[1] = 100 elif bins[1] < 2: bins[1] = 2 else: bins = self._bins x0 = x.min() y0 = y.min() image = numpy.histogram2d(y, x, bins=bins, #range=(binsY, binsX), normed=False) self._binsX = image[2] self._binsY = image[1] self._bins = bins #print("shape", image[0].shape, "image max min ", image[0].max(), image[0].min()) #print("deltaxmin and max", (self._binsX[1:] - self._binsX[:-1]).min(), # (self._binsX[1:] - self._binsX[:-1]).max()) deltaX = (self._binsX[1:]- self._binsX[:-1]).mean() deltaY = (self._binsY[1:]- self._binsY[:-1]).mean() self._xScale = (x0, deltaX) self._yScale = (y0, deltaY) return image[0] def _updateDensityPlot(self, bins=None): if DEBUG: print("_updateDensityPlot called") if self._densityPlotWidget is None: return curve = self.getCurve(self._selectionCurve) if curve is None: return x, y, legend, info = curve[0:4] if bins is not None: if type(bins) == type(1): bins = (bins, bins) elif len(bins) == 0: bins = (bins[0], bins[0]) else: bins = bins[0:2] elif self._bins is None: bins = [int(x.size/ 10), int(y.size/10)] if bins[0] > 100: bins[0] = 100 elif bins[0] < 2: bins[0] = 2 if bins[1] > 100: bins[1] = 100 elif bins[1] < 2: bins[1] = 2 else: bins = self._bins x0 = x.min() y0 = y.min() deltaX = (x.max() - x0)/float(bins[0] - 1) deltaY = (y.max() - y0)/float(bins[1] - 1) self.xScale = (x0, deltaX) self.yScale = (y0, deltaY) binsX = numpy.arange(bins[0]) * deltaX binsY = numpy.arange(bins[1]) * deltaY image = numpy.histogram2d(y, x, bins=(binsY, binsX), normed=False) self._binsX = image[2] self._binsY = image[1] self._bins = bins if DEBUG: # this does not work properly # update mask levels if self._selectionMask is not None: weights = self._selectionMask[:] weights.shape = x.shape if self._maxNRois > 1: print("BAD PATH") # this does not work properly yet weightsSum = weights.sum(dtype=numpy.float64) volume = (binsY[1] - binsY[0]) * (binsX[1] - binsX[0]) mask = numpy.round(numpy.histogram2d(y, x, bins=(binsY, binsX), weights=weights, normed=True)[0] * weightsSum * volume).astype(numpy.uint8) else: #print("GOOD PATH") mask = numpy.histogram2d(y, x, bins=(binsY, binsX), weights=weights, normed=False)[0] mask[mask > 0] = 1 #print(mask.min(), mask.max()) self._densityPlotWidget.setSelectionMask(mask, plot=False) self._densityPlotWidget.graphWidget.graph.setGraphXLabel(self.getGraphXLabel()) self._densityPlotWidget.graphWidget.graph.setGraphYLabel(self.getGraphYLabel()) self._densityPlotWidget.setImageData(image[0], clearmask=False, xScale=self.xScale, yScale=self.yScale) # do not ovelay plot (yet) pixmap = self._densityPlotWidget.getPixmap() * 1 #pixmap[:, :, 3] = 128 #self.addImage(pixmap, # legend=legend+" density", # xScale=(x0, deltaX), yScale=(y0, deltaY), z=10) self._pixmap = pixmap self._imageData = image[0] #raise NotImplemented("Density plot view not implemented yet") def setSelectionCurveData(self, x, y, legend=None, info=None, replot=True, replace=True, linestyle=" ", color=None, symbol=None, selectable=None, **kw): self.enableActiveCurveHandling(False) if legend is None: legend = "MaskScatterWidget" if symbol is None: if x.size < 1000: # circle symbol = "o" elif x.size < 1.0e5: # dot symbol = "." else: # pixel symbol = "," #if selectable is None: # if symbol == ",": # selectable = False # else: # selectable = True # the basic curve is drawn self.addCurve(x=x, y=y, legend=legend, info=info, replace=replace, replot=False, linestyle=linestyle, color=color, symbol=symbol, selectable=selectable,z=0, **kw) self._selectionCurve = legend # if view mode, draw the image if self._plotViewMode == "density": # get the binned data imageData = self.getDensityData() # get the associated pixmap if self.colormapDialog is None: self._initColormapDialog(imageData) cmap = self.colormapDialog.getColormap() pixmap=MaskImageTools.getPixmapFromData(imageData, colormap=cmap) self.addImage(imageData, legend=legend + "density", xScale=self._xScale, yScale=self._yScale, z=0, pixmap=pixmap, replot=False) self._imageData = imageData self._pixmap = pixmap # draw the mask as a set of curves hasMaskedData = False if self._selectionMask is not None: if self._selectionMask.max(): hasMaskedData = True if hasMaskedData or (replace==False): self._updatePlot(replot=False) # update the plot if it was requested if replot: self.replot() if 0 :#or self._plotViewMode == "density": # get the binned data imageData = self.getDensityData() # get the associated pixmap pixmap=MaskImageTools.getPixmapFromData(imageData) if 0: self.addImage(imageData, legend=legend + "density", xScale=self._xScale, yScale=self._yScale, z=0, pixmap=pixmap, replot=True) if DEBUG: if self._densityPlotWidget is None: self._densityPlotWidget = MaskImageWidget.MaskImageWidget( imageicons=True, selection=True, profileselection=True, aspect=True, polygon=True) self._updateDensityPlot() print("CLOSE = ", numpy.allclose(imageData, self._imageData)) print("CLOSE PIXMAP = ", numpy.allclose(pixmap, self._pixmap)) self._imageData = imageData self._pixmap = pixmap #self._updatePlot() def setSelectionMask(self, mask=None, plot=True): if self._selectionCurve is not None: selectionCurve = self.getCurve(self._selectionCurve) if selectionCurve in [[], None]: self._selectionCurve = None self._selectionMask = mask else: x, y = selectionCurve[0:2] x = numpy.array(x, copy=False) if hasattr(mask, "size"): if mask.size == x.size: if self._selectionMask is None: self._selectionMask = mask elif self._selectionMask.size == mask.size: # keep shape because we may refer to images tmpView = self._selectionMask[:] tmpView.shape = -1 tmpMask = mask[:] tmpMask.shape = -1 tmpView[:] = tmpMask[:] else: self._selectionMask = mask else: raise ValueError("Mask size = %d while data size = %d" % (mask.size, x.size)) if plot: self._updatePlot() def getSelectionMask(self): if self._selectionMask is None: if self._selectionCurve is not None: x, y, legend, info = self.getCurve(self._selectionCurve) self._selectionMask = numpy.zeros(x.shape, numpy.uint8) return self._selectionMask def _updatePlot(self, replot=True, replace=True): if self._selectionCurve is None: return x0, y0, legend, info = self.getCurve(self._selectionCurve) # make sure we work with views x = x0[:] y = y0[:] x.shape = -1 y.shape = -1 if 0: colors = numpy.zeros((y.size, 4), dtype=numpy.uint8) colors[:, 3] = 255 if self._selectionMask is not None: tmpMask = self._selectionMask[:] tmpMask.shape = -1 for i in range(0, self._maxNRois + 1): colors[tmpMask == i, :] = self._selectionColors[i] self.setSelectionCurveData(x, y, legend=legend, info=info, #color=colors, color="k", linestyle=" ", replot=replot, replace=replace) else: if self._selectionMask is None: for i in range(1, self._maxNRois + 1): self.removeCurve(legend=legend + " %02d" % i, replot=False) else: tmpMask = self._selectionMask[:] tmpMask.shape = -1 if self._plotViewMode == "density": useAlpha = True if self._alphaLevel is None: self._initializeAlpha() else: useAlpha = False for i in range(1, self._maxNRois + 1): xMask = x[tmpMask == i] yMask = y[tmpMask == i] if xMask.size < 1: self.removeCurve(legend=legend + " %02d" % i, replot=False) continue color = self._selectionColors[i].copy() if useAlpha: if len(color) == 4: if type(color[3]) in [numpy.uint8, numpy.int]: color[3] = self._alphaLevel # a copy of the input info is needed in order not # to set the main curve to that color self.addCurve(xMask, yMask, legend=legend + " %02d" % i, info=info.copy(), color=color, linestyle=" ", selectable=False, z=1, replot=False, replace=False) if replot: self.replot() #self.resetZoom() def setActiveRoiNumber(self, intValue): if (intValue < 0) or (intValue > self._maxNRois): raise ValueError("Value %d outside the interval [0, %d]" % (intValue, self._maxNRois)) self._nRoi = intValue def _eraseSelectionIconSignal(self): if self.eraseSelectionToolButton.isChecked(): self._eraseMode = True else: self._eraseMode = False def _polygonIconSignal(self): if self.polygonSelectionToolButton.isChecked(): self.setPolygonSelectionMode() else: self.setZoomModeEnabled(True) def _rectSelectionIconSignal(self): if DEBUG: print("_rectSelectionIconSignal") if self.rectSelectionToolButton.isChecked(): self.setRectangularSelectionMode() else: self.setZoomModeEnabled(True) def setZoomModeEnabled(self, flag, color=None): if color is None: if hasattr(self, "colormapDialog"): if self.colormapDialog is None: color = "#00FFFF" else: cmap = self.colormapDialog.getColormap() if cmap[0] < 2: color = "#00FFFF" else: color = "black" super(MaskScatterWidget, self).setZoomModeEnabled(flag, color=color) if flag: if hasattr(self,"polygonSelectionToolButton"): self.polygonSelectionToolButton.setChecked(False) if hasattr(self,"brushSelectionToolButton"): self.brushSelectionToolButton.setChecked(False) def _handlePolygonMask(self, points): if DEBUG: print("_handlePolygonMask called") if self._eraseMode: value = 0 else: value = self._nRoi x, y, legend, info = self.getCurve(self._selectionCurve) x.shape = -1 y.shape = -1 currentMask = self.getSelectionMask() if currentMask is None: currentMask = numpy.zeros(y.shape, dtype=numpy.uint8) if value == 0: return Z = numpy.zeros((y.size, 2), numpy.float64) Z[:, 0] = x Z[:, 1] = y mask = pnpoly(points, Z, 1) mask.shape = currentMask.shape currentMask[mask > 0] = value self.setSelectionMask(currentMask, plot=True) self._emitMaskChangedSignal() def graphCallback(self, ddict): if DEBUG: print("MaskScatterWidget graphCallback", ddict) if ddict["event"] == "drawingFinished": if ddict["parameters"]["shape"].lower() == "rectangle": points = numpy.zeros((5,2), dtype=ddict["points"].dtype) points[0] = ddict["points"][0] points[1, 0] = ddict["points"][0, 0] points[1, 1] = ddict["points"][1, 1] points[2] = ddict["points"][1] points[3, 0] = ddict["points"][1, 0] points[3, 1] = ddict["points"][0, 1] points[4] = ddict["points"][0] self._handlePolygonMask(points) else: self._handlePolygonMask(ddict["points"]) elif ddict['event'] in ["mouseMoved", "MouseAt", "mouseClicked"]: if (self._plotViewMode == "density") and \ (self._imageData is not None): shape = self._imageData.shape row, column = MaskImageTools.convertToRowAndColumn( \ ddict['x'], ddict['y'], shape, xScale=self._xScale, yScale=self._yScale, safe=True) halfWidth = 0.5 * self._brushWidth #in (row, column) units halfHeight = 0.5 * self._brushWidth #in (row, column) units columnMin = max(column - halfWidth, 0) columnMax = min(column + halfWidth, shape[1]) rowMin = max(row - halfHeight, 0) rowMax = min(row + halfHeight, shape[0]) rowMin = min(int(round(rowMin)), shape[0] - 1) rowMax = min(int(round(rowMax)), shape[0]) columnMin = min(int(round(columnMin)), shape[1] - 1) columnMax = min(int(round(columnMax)), shape[1]) if rowMin == rowMax: rowMax = rowMin + 1 elif (rowMax - rowMin) > self._brushWidth: # python 3 implements banker's rounding # test case ddict['x'] = 23.3 gives: # i1 = 22 and i2 = 24 in python 3 # i1 = 23 and i2 = 24 in python 2 rowMin = rowMax - self._brushWidth if columnMin == columnMax: columnMax = columnMin + 1 elif (columnMax - columnMin) > self._brushWidth: # python 3 implements banker's rounding # test case ddict['x'] = 23.3 gives: # i1 = 22 and i2 = 24 in python 3 # i1 = 23 and i2 = 24 in python 2 columnMin = columnMax - self._brushWidth #To show array coordinates: #x = self._xScale[0] + columnMin * self._xScale[1] #y = self._yScale[0] + rowMin * self._yScale[1] #self.setMouseText("%g, %g, %g" % (x, y, self.__imageData[rowMin, columnMin])) #To show row and column: #self.setMouseText("%g, %g, %g" % (row, column, self.__imageData[rowMin, columnMin])) #To show mouse coordinates: #self.setMouseText("%g, %g, %g" % (ddict['x'], ddict['y'], self.__imageData[rowMin, columnMin])) if self._xScale is not None: x = self._xScale[0] + column * self._xScale[1] y = self._yScale[0] + row * self._yScale[1] else: x = column y = row self.setMouseText("%g, %g, %g" % (x, y, self._imageData[row, column])) if self._brushMode: if self.isZoomModeEnabled(): return if ddict['button'] != "left": return selectionMask = numpy.zeros(self._imageData.shape, numpy.uint8) if self._eraseMode: selectionMask[rowMin:rowMax, columnMin:columnMax] = 1 else: selectionMask[rowMin:rowMax, columnMin:columnMax] = \ self._nRoi self._setSelectionMaskFromDensityMask(selectionMask, update=True) #if emitsignal: # #should this be made by the parent? # self.plotImage(update = False) # # #inform the other widgets # self._emitMaskChangedSignal() # the base implementation handles ROIs, mouse position and activeCurve super(MaskScatterWidget, self).graphCallback(ddict) def _brushIconSignal(self): if DEBUG: print("brushIconSignal") if self._brushMenu is None: self._brushMenu = qt.QMenu() self._brushMenu.addAction(QString(" 1 Image Pixel Width"), self._setBrush1) self._brushMenu.addAction(QString(" 2 Image Pixel Width"), self._setBrush2) self._brushMenu.addAction(QString(" 3 Image Pixel Width"), self._setBrush3) self._brushMenu.addAction(QString(" 5 Image Pixel Width"), self._setBrush4) self._brushMenu.addAction(QString("10 Image Pixel Width"), self._setBrush5) self._brushMenu.addAction(QString("20 Image Pixel Width"), self._setBrush6) self._brushMenu.exec_(self.cursor().pos()) def _brushSelectionIconSignal(self): if DEBUG: print("_setBrushSelectionMode") if hasattr(self, "polygonSelectionToolButton"): self.polygonSelectionToolButton.setChecked(False) self.setDrawModeEnabled(False) if self.brushSelectionToolButton.isChecked(): self._brushMode = True self.setZoomModeEnabled(False) else: self._brushMode = False self.setZoomModeEnabled(True) def _setBrush1(self): self._brushWidth = 1 def _setBrush2(self): self._brushWidth = 2 def _setBrush3(self): self._brushWidth = 3 def _setBrush4(self): self._brushWidth = 5 def _setBrush5(self): self._brushWidth = 10 def _setBrush6(self): self._brushWidth = 20 def setRectangularSelectionMode(self): """ Resets zoom mode and enters selection mode with the current active ROI index """ self._zoomMode = False self._brushMode = False color = self._selectionColors[self._nRoi] # make sure the selection is made with a non transparent color if len(color) == 4: if type(color[-1]) in [numpy.uint8, numpy.int8]: color = color.copy() color[-1] = 255 self.setDrawModeEnabled(True, shape="rectangle", label="mask", color=color) self.setZoomModeEnabled(False) if hasattr(self, "brushSelectionToolButton"): self.brushSelectionToolButton.setChecked(False) if hasattr(self,"polygonSelectionToolButton"): self.polygonSelectionToolButton.setChecked(False) if hasattr(self,"rectSelectionToolButton"): self.rectSelectionToolButton.setChecked(True) def setPolygonSelectionMode(self): """ Resets zoom mode and enters selection mode with the current active ROI index """ self._zoomMode = False self._brushMode = False color = self._selectionColors[self._nRoi] # make sure the selection is made with a non transparent color if len(color) == 4: if type(color[-1]) in [numpy.uint8, numpy.int8]: color = color.copy() color[-1] = 255 self.setDrawModeEnabled(True, shape="polygon", label="mask", color=color) self.setZoomModeEnabled(False) if hasattr(self, "brushSelectionToolButton"): self.brushSelectionToolButton.setChecked(False) if hasattr(self,"rectSelectionToolButton"): self.rectSelectionToolButton.setChecked(False) if hasattr(self,"polygonSelectionToolButton"): self.polygonSelectionToolButton.setChecked(True) def setEraseSelectionMode(self, erase=True): if erase: self._eraseMode = True else: self._eraseMode = False if hasattr(self, "eraseSelectionToolButton"): self.eraseSelectionToolButton.setCheckable(True) if erase: self.eraseSelectionToolButton.setChecked(True) else: self.eraseSelectionToolButton.setChecked(False) def _emitMaskChangedSignal(self): #inform the other widgets ddict = {} ddict['event'] = "selectionMaskChanged" ddict['current'] = self._selectionMask * 1 ddict['id'] = id(self) self.emitMaskScatterWidgetSignal(ddict) def emitMaskScatterWidgetSignal(self, ddict): self.sigMaskScatterWidgetSignal.emit(ddict) def _imageIconSignal(self): self.__resetSelection() def _buildAdditionalSelectionMenuDict(self): self._additionalSelectionMenu = {} #scatter view menu menu = qt.QMenu() menu.addAction(QString("Density plot view"), self.__setDensityPlotView) menu.addAction(QString("Reset Selection"), self.__resetSelection) menu.addAction(QString("Invert Selection"), self._invertSelection) self._additionalSelectionMenu["scatter"] = menu # density view menu menu = qt.QMenu() menu.addAction(QString("Scatter plot view"), self.__setScatterPlotView) menu.addAction(QString("Reset Selection"), self.__resetSelection) menu.addAction(QString("Invert Selection"), self._invertSelection) menu.addAction(QString("I >= Colormap Max"), self._selectMax) menu.addAction(QString("Colormap Min < I < Colormap Max"), self._selectMiddle) menu.addAction(QString("I <= Colormap Min"), self._selectMin) menu.addAction(QString("Increase mask alpha"), self._increaseMaskAlpha) menu.addAction(QString("Decrease mask alpha"), self._decreaseMaskAlpha) self._additionalSelectionMenu["density"] = menu def __setScatterPlotView(self): self.setPlotViewMode(mode="scatter") def __setDensityPlotView(self): self.setPlotViewMode(mode="density") def _additionalIconSignal(self): if self._plotViewMode == "density": # and imageData is not none ... self._additionalSelectionMenu["density"].exec_(self.cursor().pos()) else: self._additionalSelectionMenu["scatter"].exec_(self.cursor().pos()) def __resetSelection(self): # Needed because receiving directly in _resetSelection it was passing # False as argument self._resetSelection(True) def _resetSelection(self, owncall=True): if DEBUG: print("_resetSelection") if self._selectionMask is None: print("Selection mask is None, doing nothing") return else: self._selectionMask[:] = 0 self._updatePlot() #inform the others if owncall: ddict = {} ddict['event'] = "resetSelection" ddict['id'] = id(self) self.emitMaskScatterWidgetSignal(ddict) def _invertSelection(self): if self._selectionMask is None: return mask = numpy.ones(self._selectionMask.shape, numpy.uint8) mask[self._selectionMask > 0] = 0 self.setSelectionMask(mask, plot=True) self._emitMaskChangedSignal() def _getSelectionMinMax(self): if self.colormap is None: goodData = self._imageData[numpy.isfinite(self._imageData)] maxValue = goodData.max() minValue = goodData.min() else: minValue = self.colormap[2] maxValue = self.colormap[3] return minValue, maxValue def _selectMax(self): if (self._plotViewMode != "density") or \ (self._imageData is None): return selectionMask = numpy.zeros(self._imageData.shape, numpy.uint8) minValue, maxValue = self._getSelectionMinMax() tmpData = numpy.array(self._imageData, copy=True) tmpData[True - numpy.isfinite(self._imageData)] = minValue selectionMask[tmpData >= maxValue] = self._nRoi self._setSelectionMaskFromDensityMask(selectionMask) self._emitMaskChangedSignal() def _selectMiddle(self): if (self._plotViewMode != "density") or \ (self._imageData is None): return selectionMask = numpy.zeros(self._imageData.shape, numpy.uint8) selectionMask[:] = self._nRoi minValue, maxValue = self._getSelectionMinMax() tmpData = numpy.array(self._imageData, copy=True) tmpData[True - numpy.isfinite(self._imageData)] = minValue selectionMask[tmpData >= maxValue] = 0 selectionMask[tmpData <= minValue] = 0 self._setSelectionMaskFromDensityMask(selectionMask) self._emitMaskChangedSignal() def _selectMin(self): if (self._plotViewMode != "density") or \ (self._imageData is None): return selectionMask = numpy.zeros(self._imageData.shape, numpy.uint8) minValue, maxValue = self._getSelectionMinMax() tmpData = numpy.array(self._imageData, copy=True) tmpData[True - numpy.isfinite(self._imageData)] = maxValue selectionMask[tmpData <= minValue] = self._nRoi self._setSelectionMaskFromDensityMask(selectionMask) self._emitMaskChangedSignal() def _setSelectionMaskFromDensityMask(self, densityPlotMask, update=None): if DEBUG: print("_setSelectionMaskFromDensityMask called") curve = self.getCurve(self._selectionCurve) if curve is None: return x, y, legend, info = curve[0:4] bins = self._bins x0 = x.min() y0 = y.min() deltaX = (x.max() - x0)/float(bins[0]) deltaY = (y.max() - y0)/float(bins[1]) columns = numpy.digitize(x, self._binsX, right=True) columns[columns>=densityPlotMask.shape[1]] = \ densityPlotMask.shape[1] - 1 rows = numpy.digitize(y, self._binsY, right=True) rows[rows>=densityPlotMask.shape[0]] = densityPlotMask.shape[0] - 1 values = densityPlotMask[rows, columns] values.shape = -1 if self._selectionMask is None: view = numpy.zeros(x.size, dtype=numpy.uint8) view[:] = values[:] elif update: view = self._selectionMask.copy() if self._eraseMode: view[values > 0] = 0 else: view[values > 0] = values[values > 0] else: view = numpy.zeros(self._selectionMask.size, dtype=self._selectionMask.dtype) view[:] = values[:] if self._selectionMask is not None: view.shape = self._selectionMask.shape self.setSelectionMask(view, plot=True) def _densityPlotSlot(self, ddict): if DEBUG: print("_densityPlotSlot called") if ddict["event"] == "resetSelection": self.__resetSelection() return if ddict["event"] not in ["selectionMaskChanged"]: return densityPlotMask = ddict["current"] curve = self.getCurve(self._selectionCurve) if curve is None: return x, y, legend, info = curve[0:4] bins = self._bins x0 = x.min() y0 = y.min() deltaX = (x.max() - x0)/float(bins[0]) deltaY = (y.max() - y0)/float(bins[1]) if DEBUG: if self._selectionMask is None: view = numpy.zeros(x.size, dtype=numpy.uint8) else: view = numpy.zeros(self._selectionMask.size, dtype=self._selectionMask.dtype) # this works even on unordered data for i in range(x.size): row = int((y[i] - y0) /deltaY) column = int((x[i] - x0) /deltaX) try: value = densityPlotMask[row, column] except: if row >= densityPlotMask.shape[0]: row = densityPlotMask.shape[0] - 1 if column >= densityPlotMask.shape[1]: column = densityPlotMask.shape[1] - 1 value = densityPlotMask[row, column] if value: view[i] = value if self._selectionMask is not None: view.shape = self._selectionMask.shape self.setSelectionMask(view) if self._selectionMask is None: view2 = numpy.zeros(x.size, dtype=numpy.uint8) else: view2 = numpy.zeros(self._selectionMask.size, dtype=self._selectionMask.dtype) columns = numpy.digitize(x, self._binsX, right=True) columns[columns>=densityPlotMask.shape[1]] = densityPlotMask.shape[1] - 1 rows = numpy.digitize(y, self._binsY, right=True) rows[rows>=densityPlotMask.shape[0]] = densityPlotMask.shape[0] - 1 values = densityPlotMask[rows, columns] values.shape = -1 view2[:] = values[:] if self._selectionMask is not None: view2.shape = self._selectionMask.shape if DEBUG: if not numpy.allclose(view, view2): a = view[:] b = view2[:] a.shape = -1 b.shape = -1 c = 0 for i in range(a.size): if a[i] != b[i]: print(i, "a = ", a[i], "b = ", b[i], "(x, y) = ", x[i], y[i]) c += 1 if c > 10: break else: print("OK!!!") self.setSelectionMask(view2) def _initializeAlpha(self): self._alphaLevel = 128 def _increaseMaskAlpha(self): if self._alphaLevel is None: self._initializeAlpha() self._alphaLevel *= 4 if self._alphaLevel > 255: self._alphaLevel = 255 self._alphaLevel self._updatePlot() def _decreaseMaskAlpha(self): if self._alphaLevel is None: self._initializeAlpha() self._alphaLevel /= 4 if self._alphaLevel < 2: self._alphaLevel = 2 self._updatePlot() if __name__ == "__main__": backend = "matplotlib" #backend = "opengl" app = qt.QApplication([]) def receivingSlot(ddict): print("Received: ", ddict) x = numpy.arange(100.) y = x * 1 w = MaskScatterWidget(maxNRois=10, bins=(100,100), backend=backend) w.setSelectionCurveData(x, y, color="k", selectable=False) import numpy.random w.setSelectionMask(numpy.random.permutation(100) % 10) w.setPolygonSelectionMode() w.sigMaskScatterWidgetSignal.connect(receivingSlot) w.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/ProfileScanWidget.py0000644000276300001750000001242513136054446023274 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt if 1: # Should profileScanWidget depend on ScanWindow??? # if not, we miss profile fitting ... from PyMca5.PyMcaGui.pymca.ScanWindow import ScanWindow as Window else: from .PlotWindow import PlotWindow as Window DEBUG = 0 class ProfileScanWidget(Window): sigAddClicked = qt.pyqtSignal(object) sigRemoveClicked = qt.pyqtSignal(object) sigReplaceClicked = qt.pyqtSignal(object) def __init__(self, parent=None, actions=False, **kw): super(ProfileScanWidget, self).__init__(parent, **kw) if actions: self._buildActionsBox() def _buildActionsBox(self): widget = self.centralWidget() self.labelBox = qt.QWidget(widget) self.labelBox.mainLayout = qt.QHBoxLayout(self.labelBox) self.labelLabel = qt.QLabel(self.labelBox) self.labelLabel.setText("Selection Label = ") self.label = qt.QLineEdit(self.labelBox) self.labelBox.mainLayout.addWidget(self.labelLabel) self.labelBox.mainLayout.addWidget(self.label) self.buttonBox = self.labelBox buttonBox = self.buttonBox self.buttonBoxLayout = self.labelBox.mainLayout self.buttonBoxLayout.setContentsMargins(0, 0, 0, 0) self.buttonBoxLayout.setSpacing(0) self.addButton = qt.QPushButton(buttonBox) self.addButton.setText("ADD") self.addButton.setToolTip("Add curves to destination widget") self.removeButton = qt.QPushButton(buttonBox) self.removeButton.setText("REMOVE") self.removeButton.setToolTip("Remove curves from destination widget") self.buttonBoxLayout.addWidget(self.addButton) self.buttonBoxLayout.addWidget(self.removeButton) self.replaceButton = qt.QPushButton(buttonBox) self.replaceButton.setText("REPLACE") self.replaceButton.setToolTip("Replace curves in destination widget") self.buttonBoxLayout.addWidget(self.replaceButton) #self.mainLayout.addWidget(buttonBox) widget.layout().addWidget(buttonBox) self.addButton.clicked.connect(self._addClicked) self.removeButton.clicked.connect(self._removeClicked) self.replaceButton.clicked.connect(self._replaceClicked) def _addClicked(self): if DEBUG: print("ADD clicked") self._emitActionSignal(action='ADD') def _removeClicked(self): if DEBUG: print("REMOVE clicked") self._emitActionSignal(action='REMOVE') def _replaceClicked(self): if DEBUG: print("REPLACE clicked") self._emitActionSignal(action='REPLACE') def _emitActionSignal(self, action='ADD'): if action not in ['ADD', 'REMOVE', 'REPLACE']: print("Unrecognized action %s" % action) curveList = self.getAllCurves() if curveList in [None, []]: return text = self.label.text() if sys.version < '3.0': text = str(text) ddict = {} ddict['event'] = action ddict['action'] = action ddict['label'] = text ddict['curves'] = curveList if action == 'ADD': self.sigAddClicked.emit(ddict) elif action == 'REMOVE': self.sigRemoveClicked.emit(ddict) else: self.replaceAddClicked.emit(ddict) def test(): app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) def testSlot(ddict): print(ddict) w = ProfileScanWidget(actions=True) w.addCurve([1, 2, 3, 4], [1, 4, 9, 16], legend='Dummy') w.sigAddClicked.connect(testSlot) w.sigRemoveClicked.connect(testSlot) w.sigReplaceClicked.connect(testSlot) w.show() app.exec_() if __name__ == "__main__": DEBUG = 1 test() PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/ScatterPlotCorrelatorWidget.py0000644000276300001750000001702213136054446025366 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy import traceback from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui.misc import SelectionTable from PyMca5.PyMcaGui.plotting import MaskScatterWidget class ScatterPlotCorrelatorWidget(MaskScatterWidget.MaskScatterWidget): def __init__(self, parent=None, labels=("Legend", "X", "Y"), types=("Text","RadioButton", "RadioButton"), toolbar=False, **kw): super(ScatterPlotCorrelatorWidget, self).__init__(None, **kw) self._splitter = qt.QSplitter(parent) self._splitter.setOrientation(qt.Qt.Horizontal) self.container = qt.QWidget(self._splitter) self.container.mainLayout = qt.QVBoxLayout(self.container) self.container.mainLayout.setContentsMargins(0, 0, 0, 0) self.container.mainLayout.setSpacing(0) # add a toolbar on top of the table if toolbar: self.toolBar = qt.QToolBar(self.container) # the selection table self.table = SelectionTable.SelectionTable(self.container, labels=labels, types=types) if toolbar: self.container.mainLayout.addWidget(self.toolBar) self.container.mainLayout.addWidget(self.table) self._splitter.addWidget(self.container) self._splitter.addWidget(self) # internal variables self._itemList = [] self._itemLabels = [] # connect self.table.sigSelectionTableSignal.connect(self.selectionTableSlot) def show(self): if self._splitter.isHidden(): self._splitter.show() else: super(ScatterPlotCorrelatorWidget, self).show() def setSelectableItemList(self, items, labels=None, copy=True): self._itemList = [] self._itemLabels = [] if labels is None: labels = [None] * len(items) for i in range(len(items)): self.addSelectableItem(items[i], label=labels[i], copy=copy) def addSelectableItem(self, item, label=None, copy=True): # we always keep a copy by default item = numpy.array(item, dtype=numpy.float32, copy=copy) if label is None: label = "Unnamed 00" i = 0 while(label in self._itemLabels): i += 1 label = "Unnamed %02d" % i if len(self._itemList): if item.size != self._itemList[0].size: raise IndexError("Invalid size") if label in self._itemLabels: self._itemList[self._itemLabels.index(label)] = item else: self._itemList.append(item) self._itemLabels.append(label) nItems = len(self._itemList) self.table.setRowCount(nItems) self.table.fillLine(nItems - 1, [label, "", ""]) self.table.resizeColumnToContents(0) self.table.resizeColumnToContents(1) self.table.resizeColumnToContents(2) ddict = self.table.getSelection() index = self._itemLabels.index(label) xKey = qt.safe_str(self.table.horizontalHeaderItem(1).text()).lower() yKey = qt.safe_str(self.table.horizontalHeaderItem(2).text()).lower() if index in (ddict[xKey] + ddict[yKey]): self.selectionTableSlot(ddict) def selectionTableSlot(self, ddict): legendKey = qt.safe_str(self.table.horizontalHeaderItem(0).text()).lower() xKey = qt.safe_str(self.table.horizontalHeaderItem(1).text()).lower() yKey = qt.safe_str(self.table.horizontalHeaderItem(2).text()).lower() if len(ddict[xKey]): x0 = self._itemList[ddict[xKey][0]] else: return if len(ddict[yKey]): y0 = self._itemList[ddict[yKey][0]] else: return x = x0[:] x.shape = -1 y = y0[:] y.shape = -1 xLabel = self._itemLabels[ddict[xKey][0]] yLabel = self._itemLabels[ddict[yKey][0]] # active curve handling is disabled self.setGraphXLabel(xLabel) self.setGraphYLabel(yLabel) self.setSelectionCurveData(x, y, legend=None, color="k", symbol=".", replot=False, replace=True, xlabel=xLabel, ylabel=yLabel, selectable=False) self._updatePlot(replot=False, replace=True) #matplotlib needs a zoom reset to update the scales # that problem does not seem to be present with OpenGL self.resetZoom() if __name__ == "__main__": if "opengl" in sys.argv: backend = "opengl" else: backend = None app = qt.QApplication([]) w = ScatterPlotCorrelatorWidget(labels=["Legend", "X", "Y"], types=["Text", "RadioButton", "RadioButton"], maxNRois=1, backend=backend) w.show() # fill some data import numpy import numpy.random import time t0 = time.time() x = numpy.arange(1000000.) w.addSelectableItem(x, "range(%d)" % x.size) print("elapsed = ", time.time() - t0) w.addSelectableItem(x * x, "range(%d) ** 2" % x.size) x = numpy.random.random(x.size) w.addSelectableItem(x, "random(%d)" % x.size) x = numpy.random.normal(500000., 1.0, 1000000) w.addSelectableItem(x, "Gauss 0") x = numpy.random.normal(500000., 1.0, 1000000) w.addSelectableItem(x, "Gauss 1") w.setPolygonSelectionMode() def theSlot(ddict): print(ddict['event']) w.sigMaskScatterWidgetSignal.connect(theSlot) app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/ColormapDialog.py0000644000276300001750000005032213136054446022615 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt from . import PlotWidget QTVERSION = qt.qVersion() DEBUG = 0 class MyQLineEdit(qt.QLineEdit): def __init__(self,parent=None,name=""): qt.QLineEdit.__init__(self,parent) def focusInEvent(self,event): self.setPaletteBackgroundColor(qt.QColor('yellow')) def focusOutEvent(self,event): self.setPaletteBackgroundColor(qt.QColor('white')) self.returnPressed[()].emit() def setPaletteBackgroundColor(self, color): if DEBUG: print("setPalettebackgroundColor not implemented yet") pass """ Manage colormap Widget class """ class ColormapDialog(qt.QDialog): sigColormapChanged = qt.pyqtSignal(object) def __init__(self, parent=None, name="Colormap Dialog"): qt.QDialog.__init__(self, parent) self.setWindowTitle(name) self.title = name self.colormapList = ["Greyscale", "Reverse Grey", "Temperature", "Red", "Green", "Blue", "Many"] # histogramData is tupel(bins, counts) self.histogramData = None # default values self.dataMin = -10 self.dataMax = 10 self.minValue = 0 self.maxValue = 1 self.colormapIndex = 2 self.colormapType = 0 self.autoscale = False self.autoscale90 = False # main layout vlayout = qt.QVBoxLayout(self) vlayout.setContentsMargins(10, 10, 10, 10) vlayout.setSpacing(0) # layout 1 : -combo to choose colormap # -autoscale button # -autoscale 90% button hbox1 = qt.QWidget(self) hlayout1 = qt.QHBoxLayout(hbox1) vlayout.addWidget(hbox1) hlayout1.setContentsMargins(0, 0, 0, 0) hlayout1.setSpacing(10) # combo self.combo = qt.QComboBox(hbox1) for colormap in self.colormapList: self.combo.addItem(colormap) self.combo.activated[int].connect(self.colormapChange) hlayout1.addWidget(self.combo) # autoscale self.autoScaleButton = qt.QPushButton("Autoscale", hbox1) self.autoScaleButton.setCheckable(True) self.autoScaleButton.setAutoDefault(False) self.autoScaleButton.toggled[bool].connect(self.autoscaleChange) hlayout1.addWidget(self.autoScaleButton) # autoscale 90% self.autoScale90Button = qt.QPushButton("Autoscale 90%", hbox1) self.autoScale90Button.setCheckable(True) self.autoScale90Button.setAutoDefault(False) self.autoScale90Button.toggled[bool].connect(self.autoscale90Change) hlayout1.addWidget(self.autoScale90Button) # hlayout hbox0 = qt.QWidget(self) self.__hbox0 = hbox0 hlayout0 = qt.QHBoxLayout(hbox0) hlayout0.setContentsMargins(0, 0, 0, 0) hlayout0.setSpacing(0) vlayout.addWidget(hbox0) #hlayout0.addStretch(10) self.buttonGroup = qt.QButtonGroup() g1 = qt.QCheckBox(hbox0) g1.setText("Linear") g2 = qt.QCheckBox(hbox0) g2.setText("Logarithmic") g3 = qt.QCheckBox(hbox0) g3.setText("Gamma") self.buttonGroup.addButton(g1, 0) self.buttonGroup.addButton(g2, 1) self.buttonGroup.addButton(g3, 2) self.buttonGroup.setExclusive(True) if self.colormapType == 1: self.buttonGroup.button(1).setChecked(True) elif self.colormapType == 2: self.buttonGroup.button(2).setChecked(True) else: self.buttonGroup.button(0).setChecked(True) hlayout0.addWidget(g1) hlayout0.addWidget(g2) hlayout0.addWidget(g3) vlayout.addWidget(hbox0) self.buttonGroup.buttonClicked[int].connect(self.buttonGroupChange) vlayout.addSpacing(20) hboxlimits = qt.QWidget(self) hboxlimitslayout = qt.QHBoxLayout(hboxlimits) hboxlimitslayout.setContentsMargins(0, 0, 0, 0) hboxlimitslayout.setSpacing(0) self.slider = None vlayout.addWidget(hboxlimits) vboxlimits = qt.QWidget(hboxlimits) vboxlimitslayout = qt.QVBoxLayout(vboxlimits) vboxlimitslayout.setContentsMargins(0, 0, 0, 0) vboxlimitslayout.setSpacing(0) hboxlimitslayout.addWidget(vboxlimits) # hlayout 2 : - min label # - min texte hbox2 = qt.QWidget(vboxlimits) self.__hbox2 = hbox2 hlayout2 = qt.QHBoxLayout(hbox2) hlayout2.setContentsMargins(0, 0, 0, 0) hlayout2.setSpacing(0) #vlayout.addWidget(hbox2) vboxlimitslayout.addWidget(hbox2) hlayout2.addStretch(10) self.minLabel = qt.QLabel(hbox2) self.minLabel.setText("Minimum") hlayout2.addWidget(self.minLabel) hlayout2.addSpacing(5) hlayout2.addStretch(1) self.minText = MyQLineEdit(hbox2) self.minText.setFixedWidth(150) self.minText.setAlignment(qt.Qt.AlignRight) self.minText.returnPressed[()].connect(self.minTextChanged) hlayout2.addWidget(self.minText) # hlayout 3 : - min label # - min text hbox3 = qt.QWidget(vboxlimits) self.__hbox3 = hbox3 hlayout3 = qt.QHBoxLayout(hbox3) hlayout3.setContentsMargins(0, 0, 0, 0) hlayout3.setSpacing(0) #vlayout.addWidget(hbox3) vboxlimitslayout.addWidget(hbox3) hlayout3.addStretch(10) self.maxLabel = qt.QLabel(hbox3) self.maxLabel.setText("Maximum") hlayout3.addWidget(self.maxLabel) hlayout3.addSpacing(5) hlayout3.addStretch(1) self.maxText = MyQLineEdit(hbox3) self.maxText.setFixedWidth(150) self.maxText.setAlignment(qt.Qt.AlignRight) self.maxText.returnPressed[()].connect(self.maxTextChanged) hlayout3.addWidget(self.maxText) # Graph widget for color curve... self.c = PlotWidget.PlotWidget(self, backend=None) self.c.setGraphXLabel("Data Values") self.c.setZoomModeEnabled(False) self.marge = (abs(self.dataMax) + abs(self.dataMin)) / 6.0 self.minmd = self.dataMin - self.marge self.maxpd = self.dataMax + self.marge self.c.setGraphXLimits(self.minmd, self.maxpd) self.c.setGraphYLimits(-11.5, 11.5) x = [self.minmd, self.dataMin, self.dataMax, self.maxpd] y = [-10, -10, 10, 10 ] self.c.addCurve(x, y, legend="ConstrainedCurve", color='black', symbol='o', linestyle='-') self.markers = [] self.__x = x self.__y = y labelList = ["","Min", "Max", ""] for i in range(4): if i in [1, 2]: draggable = True color = "blue" else: draggable = False color = "black" #TODO symbol legend = "%d" % i self.c.insertXMarker(x[i], legend=legend, text=labelList[i], draggable=draggable, color=color) self.markers.append((legend, "")) self.c.setMinimumSize(qt.QSize(250,200)) vlayout.addWidget(self.c) self.c.sigPlotSignal.connect(self.chval) # colormap window can not be resized self.setFixedSize(vlayout.minimumSize()) def plotHistogram(self, data=None): if data is not None: self.histogramData = data if self.histogramData is None: return False bins, counts = self.histogramData self.c.addCurve(bins, counts, "Histogram", color='pink', # TODO: Change fill color symbol='s', linestyle='-', # Line style #fill=True, yaxis='right') # TODO: Do not use info! def _update(self): if DEBUG: print("colormap _update called") self.marge = (abs(self.dataMax) + abs(self.dataMin)) / 6.0 self.minmd = self.dataMin - self.marge self.maxpd = self.dataMax + self.marge self.c.setGraphXLimits(self.minmd, self.maxpd) self.c.setGraphYLimits( -11.5, 11.5) self.__x = [self.minmd, self.dataMin, self.dataMax, self.maxpd] self.__y = [-10, -10, 10, 10] self.c.addCurve(self.__x, self.__y, legend="ConstrainedCurve", color='black', symbol='o', linestyle='-') self.c.clearMarkers() for i in range(4): if i in [1, 2]: draggable = True color = "blue" else: draggable = False color = "black" key = self.markers[i][0] label = self.markers[i][1] self.c.insertXMarker(self.__x[i], legend=key, text=label, draggable=draggable, color=color) self.c.replot() self.sendColormap() def buttonGroupChange(self, val): if DEBUG: print("buttonGroup asking to update colormap") self.setColormapType(val, update=True) self._update() def setColormapType(self, val, update=False): self.colormapType = val if self.colormapType == 1: self.buttonGroup.button(1).setChecked(True) elif self.colormapType == 2: self.buttonGroup.button(2).setChecked(True) else: self.colormapType = 0 self.buttonGroup.button(0).setChecked(True) if update: self._update() def chval(self, ddict): if DEBUG: print("Received ", ddict) if ddict['event'] == 'markerMoving': diam = int(ddict['label']) x = ddict['x'] if diam == 1: self.setDisplayedMinValue(x) elif diam == 2: self.setDisplayedMaxValue(x) elif ddict['event'] == 'markerMoved': diam = int(ddict['label']) x = ddict['x'] if diam == 1: self.setMinValue(x) if diam == 2: self.setMaxValue(x) """ Colormap """ def setColormap(self, colormap): self.colormapIndex = colormap if QTVERSION < '4.0.0': self.combo.setCurrentItem(colormap) else: self.combo.setCurrentIndex(colormap) def colormapChange(self, colormap): self.colormapIndex = colormap self.sendColormap() # AUTOSCALE """ Autoscale """ def autoscaleChange(self, val): self.autoscale = val self.setAutoscale(val) self.sendColormap() def setAutoscale(self, val): if DEBUG: print("setAutoscale called", val) if val: self.autoScaleButton.setChecked(True) self.autoScale90Button.setChecked(False) #self.autoScale90Button.setDown(False) self.setMinValue(self.dataMin) self.setMaxValue(self.dataMax) self.maxText.setEnabled(0) self.minText.setEnabled(0) self.c.setEnabled(0) #self.c.disablemarkermode() else: self.autoScaleButton.setChecked(False) self.autoScale90Button.setChecked(False) self.minText.setEnabled(1) self.maxText.setEnabled(1) self.c.setEnabled(1) #self.c.enablemarkermode() """ set rangeValues to dataMin ; dataMax-10% """ def autoscale90Change(self, val): self.autoscale90 = val self.setAutoscale90(val) self.sendColormap() def setAutoscale90(self, val): if val: self.autoScaleButton.setChecked(False) self.setMinValue(self.dataMin) self.setMaxValue(self.dataMax - abs(self.dataMax/10)) self.minText.setEnabled(0) self.maxText.setEnabled(0) self.c.setEnabled(0) else: self.autoScale90Button.setChecked(False) self.minText.setEnabled(1) self.maxText.setEnabled(1) self.c.setEnabled(1) self.c.setFocus() # MINIMUM """ change min value and update colormap """ def setMinValue(self, val): v = float(str(val)) self.minValue = v self.minText.setText("%g" % v) self.__x[1] = v key = self.markers[1][0] label = self.markers[1][1] self.c.insertXMarker(v, legend=key, text=label, color="blue", draggable=True) self.c.addCurve(self.__x, self.__y, legend="ConstrainedCurve", color='black', symbol='o', linestyle='-') self.sendColormap() """ min value changed by text """ def minTextChanged(self): text = str(self.minText.text()) if not len(text): return val = float(text) self.setMinValue(val) if self.minText.hasFocus(): self.c.setFocus() """ change only the displayed min value """ def setDisplayedMinValue(self, val): val = float(val) self.minValue = val self.minText.setText("%g"%val) self.__x[1] = val key = self.markers[1][0] label = self.markers[1][1] self.c.insertXMarker(val, legend=key, text=label, color="blue", draggable=True) self.c.addCurve(self.__x, self.__y, legend="ConstrainedCurve", color='black', symbol='o', linestyle='-') # MAXIMUM """ change max value and update colormap """ def setMaxValue(self, val): v = float(str(val)) self.maxValue = v self.maxText.setText("%g"%v) self.__x[2] = v key = self.markers[2][0] label = self.markers[2][1] self.c.insertXMarker(v, legend=key, text=label, color="blue", draggable=True) self.c.addCurve(self.__x, self.__y, legend="ConstrainedCurve", color='black', symbol='o', linestyle='-') self.sendColormap() """ max value changed by text """ def maxTextChanged(self): text = str(self.maxText.text()) if not len(text):return val = float(text) self.setMaxValue(val) if self.maxText.hasFocus(): self.c.setFocus() """ change only the displayed max value """ def setDisplayedMaxValue(self, val): val = float(val) self.maxValue = val self.maxText.setText("%g"%val) self.__x[2] = val key = self.markers[2][0] label = self.markers[2][1] self.c.insertXMarker(val, legend=key, text=label, color="blue", draggable=True) self.c.addCurve(self.__x, self.__y, legend="ConstrainedCurve", color='black', symbol='o', linestyle='-') # DATA values """ set min/max value of data source """ def setDataMinMax(self, minVal, maxVal, update=True): if minVal is not None: vmin = float(str(minVal)) self.dataMin = vmin if maxVal is not None: vmax = float(str(maxVal)) self.dataMax = vmax if update: # are current values in the good range ? self._update() def getColormap(self): if self.minValue > self.maxValue: vmax = self.minValue vmin = self.maxValue else: vmax = self.maxValue vmin = self.minValue cmap = [self.colormapIndex, self.autoscale, vmin, vmax, self.dataMin, self.dataMax, self.colormapType] return cmap """ send 'ColormapChanged' signal """ def sendColormap(self): if DEBUG: print("sending colormap") try: cmap = self.getColormap() self.sigColormapChanged.emit(cmap) except: sys.excepthook(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]) # Conversion of colormap descriptions ######################################### # Convert colormap between PlotBackend names and ColormapDialog index # Tuple of PlotBackend names in the order of colormapDialog _COLORMAP_NAMES = ('gray', 'reversed gray', 'temperature', 'red', 'green', 'blue', 'temperature') def colormapListToDict(colormapList): """Convert colormap from this dialog to :class:`PlotBackend`. :param colormapList: Colormap as returned by :meth:`getColormap`. :type colormapList: list or tuple :return: Colormap as used in :class:`PlotBackend`. :rtype: dict """ index, autoscale, vMin, vMax, dataMin, dataMax, cmapType = colormapList # Warning, gamma cmapType is not supported in plot backend # Here it is silently replaced by linear as the default colormap return { 'name': _COLORMAP_NAMES[index], 'autoscale': autoscale, 'vmin': vMin, 'vmax': vMax, 'normalization': 'log' if cmapType == 1 else 'linear', 'colors': 256 } def colormapDictToList(colormapDict): """Convert colormap from :class:`PlotBackend` to this dialog. :param dict colormapDict: Colormap as used in :class:`PlotBackend`. :return: Colormap as returned by :meth:`getColormap`. :rtype: list """ cmapIndex = _COLORMAP_NAMES.index(colormapDict['name']) cmapType = 1 if colormapDict['normalization'].startswith('log') else 0 return [cmapIndex, colormapDict['autoscale'], colormapDict['vmin'], colormapDict['vmax'], 0, # dataMin is not defined in PlotBackend colormap 0, # dataMax is not defined in PlotBackend colormap cmapType] ############################################################################### def test(): app = qt.QApplication(sys.argv) app.lastWindowClosed.connect(app.quit) demo = ColormapDialog() # Histogram demo import numpy as np x = np.linspace(-10, 10, 50) y = abs(9. * np.exp(-x**2) + np.random.randn(len(x)) + 1.) demo.plotHistogram((x,y)) def call(*var): print("Received", var) demo.sigColormapChanged.connect(call) demo.setAutoscale(1) demo.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/ImageView.py0000644000276300001750000011623013136054446021577 0ustar solebliss00000000000000# /*######################################################################### # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ __author__ = "T. Vincent - ESRF Data Analysis" __contact__ = "thomas.vincent@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """ QWidget displaying a 2D image with histograms on its sides. The :class:`ImageView` implements this widget, and :class:`ImageViewMainWindow` provides a main window with additional toolbar and status bar. Basic usage of :class:`ImageView` is through the following methods: - :meth:`ImageView.getColormap`, :meth:`ImageView.setColormap` to update the default colormap to use and update the currently displayed image. - :meth:`ImageView.setImage` to update the displayed image. The :class:`ImageView` uses :class:`PlotWindow` and also exposes :class:`PyMca5.PyMcaGraph.Plot` API for further control (plot title, axes labels, adding other images, ...). For an example of use, see the implementation of :class:`ImageViewMainWindow`. The ImageView module can also be used to open an EDF or TIFF file from the shell command line. To view an image file: ``python -m PyMca5.PyMcaGui.plotting.ImageView `` To get help: ``python -m PyMca5.PyMcaGui.plotting.ImageView -h`` """ # import ###################################################################### import numpy as np try: from .. import PyMcaQt as qt except ImportError: from PyMca5.PyMcaGui import PyMcaQt as qt from .PlotWindow import PlotWindow from .Toolbars import ProfileToolBar, LimitsToolBar from PyMca5.PyMcaGraph import Plot # utils ####################################################################### _COLORMAP_CURSOR_COLORS = { 'gray': 'pink', 'reversed gray': 'pink', 'temperature': 'black', 'red': 'gray', 'green': 'gray', 'blue': 'gray'} def _cursorColorForColormap(colormapName): """Get a color suitable for overlay over a colormap. :param str colormapName: The name of the colormap. :return: Name of the color. :rtype: str """ return _COLORMAP_CURSOR_COLORS.get(colormapName, 'black') # RadarView ################################################################### class RadarView(qt.QGraphicsView): """Widget presenting a synthetic view of a 2D area and the current visible area. Coordinates are as in QGraphicsView: x goes from left to right and y goes from top to bottom. This widget preserves the aspect ratio of the areas. The 2D area and the visible area can be set with :meth:`setDataRect` and :meth:`setVisibleRect`. When the visible area has been dragged by the user, its new position is signaled by the *visibleRectDragged* signal. It is possible to invert the direction of the axes by using the :meth:`scale` method of QGraphicsView. """ visibleRectDragged = qt.pyqtSignal(float, float, float, float) """Signals that the visible rectangle has been dragged. It provides: left, top, width, height in data coordinates. """ _DATA_PEN = qt.QPen(qt.QColor('white')) _DATA_BRUSH = qt.QBrush(qt.QColor('light gray')) _VISIBLE_PEN = qt.QPen(qt.QColor('red')) _VISIBLE_BRUSH = qt.QBrush(qt.QColor(0, 0, 0, 0)) _TOOLTIP = 'Radar View:\nVisible area (in red)\nof the image (in gray).' _PIXMAP_SIZE = 256 class _DraggableRectItem(qt.QGraphicsRectItem): """RectItem which signals its change through visibleRectDragged.""" def __init__(self, *args, **kwargs): super(RadarView._DraggableRectItem, self).__init__(*args, **kwargs) self.setFlag(qt.QGraphicsItem.ItemIsMovable) self.setFlag(qt.QGraphicsItem.ItemSendsGeometryChanges) self._ignoreChange = False self._constraint = 0, 0, 0, 0 def setConstraintRect(self, left, top, width, height): """Set the constraint rectangle for dragging. The coordinates are in the _DraggableRectItem coordinate system. This constraint only applies to modification through interaction (i.e., this constraint is not applied to change through API). If the _DraggableRectItem is smaller than the constraint rectangle, the _DraggableRectItem remains within the constraint rectangle. If the _DraggableRectItem is wider than the constraint rectangle, the constraint rectangle remains within the _DraggableRectItem. """ self._constraint = left, left + width, top, top + height def setPos(self, *args, **kwargs): """Overridden to ignore changes from API in itemChange.""" self._ignoreChange = True super(RadarView._DraggableRectItem, self).setPos(*args, **kwargs) self._ignoreChange = False def moveBy(self, *args, **kwargs): """Overridden to ignore changes from API in itemChange.""" self._ignoreChange = True super(RadarView._DraggableRectItem, self).moveBy(*args, **kwargs) self._ignoreChange = False def itemChange(self, change, value): """Callback called before applying changes to the item.""" if (change == qt.QGraphicsItem.ItemPositionChange and not self._ignoreChange): # Makes sure that the visible area is in the data # or that data is in the visible area if area is too wide x, y = value.x(), value.y() xMin, xMax, yMin, yMax = self._constraint if self.rect().width() <= (xMax - xMin): if x < xMin: value.setX(xMin) elif x > xMax - self.rect().width(): value.setX(xMax - self.rect().width()) else: if x > xMin: value.setX(xMin) elif x < xMax - self.rect().width(): value.setX(xMax - self.rect().width()) if self.rect().height() <= (yMax - yMin): if y < yMin: value.setY(yMin) elif y > yMax - self.rect().height(): value.setY(yMax - self.rect().height()) else: if y > yMin: value.setY(yMin) elif y < yMax - self.rect().height(): value.setY(yMax - self.rect().height()) if self.pos() != value: # Notify change through signal views = self.scene().views() assert len(views) == 1 views[0].visibleRectDragged.emit( value.x() + self.rect().left(), value.y() + self.rect().top(), self.rect().width(), self.rect().height()) return value return super(RadarView._DraggableRectItem, self).itemChange( change, value) def __init__(self, parent=None): self._scene = qt.QGraphicsScene() self._dataRect = self._scene.addRect(0, 0, 1, 1, self._DATA_PEN, self._DATA_BRUSH) self._visibleRect = self._DraggableRectItem(0, 0, 1, 1) self._visibleRect.setPen(self._VISIBLE_PEN) self._visibleRect.setBrush(self._VISIBLE_BRUSH) self._scene.addItem(self._visibleRect) super(RadarView, self).__init__(self._scene, parent) self.setHorizontalScrollBarPolicy(qt.Qt.ScrollBarAlwaysOff) self.setVerticalScrollBarPolicy(qt.Qt.ScrollBarAlwaysOff) self.setFocusPolicy(qt.Qt.NoFocus) self.setStyleSheet('border: 0px') self.setToolTip(self._TOOLTIP) def sizeHint(self): # """Overridden to avoid sizeHint to depend on content size.""" return self.minimumSizeHint() def wheelEvent(self, event): # """Overridden to disable vertical scrolling with wheel.""" event.ignore() def resizeEvent(self, event): # """Overridden to fit current content to new size.""" self.fitInView(self._scene.itemsBoundingRect(), qt.Qt.KeepAspectRatio) super(RadarView, self).resizeEvent(event) def setDataRect(self, left, top, width, height): """Set the bounds of the data rectangular area. This sets the coordinate system. """ self._dataRect.setRect(left, top, width, height) self._visibleRect.setConstraintRect(left, top, width, height) self.fitInView(self._scene.itemsBoundingRect(), qt.Qt.KeepAspectRatio) def setVisibleRect(self, left, top, width, height): """Set the visible rectangular area. The coordinates are relative to the data rect. """ self._visibleRect.setRect(0, 0, width, height) self._visibleRect.setPos(left, top) self.fitInView(self._scene.itemsBoundingRect(), qt.Qt.KeepAspectRatio) # ImageView ################################################################### class ImageView(qt.QWidget): """Display a single image with horizontal and vertical histograms. Use :meth:`setImage` to control the displayed image. This class also provides the :class:`PyMca5.PyMcaGraph.Plot` API. """ HISTOGRAMS_COLOR = 'blue' """Color to use for the side histograms.""" HISTOGRAMS_HEIGHT = 200 """Height in pixels of the side histograms.""" IMAGE_MIN_SIZE = 200 """Minimum size in pixels of the image area.""" # Qt signals valueChanged = qt.pyqtSignal(float, float, float) """Signals that the data value under the cursor has changed. It provides: row, column, data value. When the cursor is over an histogram, either row or column is Nan and the provided data value is the histogram value (i.e., the sum along the corresponding row/column). Row and columns are either Nan or integer values. """ def __init__(self, parent=None, windowFlags=qt.Qt.Widget, backend=None): self._imageLegend = '__ImageView__image' + str(id(self)) self._cache = None # Store currently visible data information self._updatingLimits = False super(ImageView, self).__init__(parent, windowFlags) self.setStyleSheet('background-color: white;') self._initWidgets(backend) # Sync PlotBackend and ImageView self._updateYAxisInverted() # Set-up focus proxy to handle arrow key event self.setFocusProxy(self._imagePlot) def _initWidgets(self, backend): """Set-up layout and plots.""" # Monkey-patch for histogram size # alternative: create a layout that does not use widget size hints def sizeHint(): return qt.QSize(self.HISTOGRAMS_HEIGHT, self.HISTOGRAMS_HEIGHT) self._histoHPlot = Plot.Plot(backend=backend) self._histoHPlot.setZoomModeEnabled(True) self._histoHPlot.setCallback(self._histoHPlotCB) self._histoHPlot.getWidgetHandle().sizeHint = sizeHint self._histoHPlot.getWidgetHandle().minimumSizeHint = sizeHint self._imagePlot = PlotWindow(backend=backend, plugins=False, colormap=True, flip=True, grid=False, togglePoints=False, logx=False, logy=False, aspect=True) self._imagePlot.usePlotBackendColormap = True self._imagePlot.setPanWithArrowKeys(True) self._imagePlot.setZoomModeEnabled(True) # Color is set in setColormap self._imagePlot.sigPlotSignal.connect(self._imagePlotCB) self._imagePlot.hFlipToolButton.clicked.connect( self._updateYAxisInverted) self._imagePlot.sigColormapChangedSignal.connect(self.setColormap) self._histoVPlot = Plot.Plot(backend=backend) self._histoVPlot.setZoomModeEnabled(True) self._histoVPlot.setCallback(self._histoVPlotCB) self._histoVPlot.getWidgetHandle().sizeHint = sizeHint self._histoVPlot.getWidgetHandle().minimumSizeHint = sizeHint self._radarView = RadarView() self._radarView.visibleRectDragged.connect(self._radarViewCB) self._layout = qt.QGridLayout() self._layout.addWidget(self._imagePlot, 0, 0) self._layout.addWidget(self._histoVPlot.getWidgetHandle(), 0, 1) self._layout.addWidget(self._histoHPlot.getWidgetHandle(), 1, 0) self._layout.addWidget(self._radarView, 1, 1) self._layout.setColumnMinimumWidth(0, self.IMAGE_MIN_SIZE) self._layout.setColumnStretch(0, 1) self._layout.setColumnMinimumWidth(1, self.HISTOGRAMS_HEIGHT) self._layout.setColumnStretch(1, 0) self._layout.setRowMinimumHeight(0, self.IMAGE_MIN_SIZE) self._layout.setRowStretch(0, 1) self._layout.setRowMinimumHeight(1, self.HISTOGRAMS_HEIGHT) self._layout.setRowStretch(1, 0) self._layout.setSpacing(0) self._layout.setContentsMargins(0, 0, 0, 0) self.setLayout(self._layout) def _dirtyCache(self): self._cache = None def _updateHistograms(self): """Update histograms content using current active image.""" activeImage = self._imagePlot.getActiveImage() if activeImage is not None: wasUpdatingLimits = self._updatingLimits self._updatingLimits = True data, legend, info, pixmap = activeImage xScale, yScale = info['plot_xScale'], info['plot_yScale'] height, width = data.shape xMin, xMax = self._imagePlot.getGraphXLimits() yMin, yMax = self._imagePlot.getGraphYLimits() # Convert plot area limits to image coordinates # and work in image coordinates (i.e., in pixels) xMin = int((xMin - xScale[0]) / xScale[1]) xMax = int((xMax - xScale[0]) / xScale[1]) yMin = int((yMin - yScale[0]) / yScale[1]) yMax = int((yMax - yScale[0]) / yScale[1]) if (xMin < width and xMax >= 0 and yMin < height and yMax >= 0): # The image is at least partly in the plot area # Get the visible bounds in image coords (i.e., in pixels) subsetXMin = 0 if xMin < 0 else xMin subsetXMax = (width if xMax >= width else xMax) + 1 subsetYMin = 0 if yMin < 0 else yMin subsetYMax = (height if yMax >= height else yMax) + 1 if (self._cache is None or subsetXMin != self._cache['dataXMin'] or subsetXMax != self._cache['dataXMax'] or subsetYMin != self._cache['dataYMin'] or subsetYMax != self._cache['dataYMax']): # The visible area of data has changed, update histograms # Rebuild histograms for visible area visibleData = data[subsetYMin:subsetYMax, subsetXMin:subsetXMax] histoHVisibleData = np.sum(visibleData, axis=0) histoVVisibleData = np.sum(visibleData, axis=1) self._cache = { 'dataXMin': subsetXMin, 'dataXMax': subsetXMax, 'dataYMin': subsetYMin, 'dataYMax': subsetYMax, 'histoH': histoHVisibleData, 'histoHMin': np.min(histoHVisibleData), 'histoHMax': np.max(histoHVisibleData), 'histoV': histoVVisibleData, 'histoVMin': np.min(histoVVisibleData), 'histoVMax': np.max(histoVVisibleData) } # Convert to histogram curve and update plots # Taking into account origin and scale coords = np.arange(2 * histoHVisibleData.size) xCoords = (coords + 1) // 2 + subsetXMin xCoords = xScale[0] + xScale[1] * xCoords xData = np.take(histoHVisibleData, coords // 2) self._histoHPlot.addCurve(xCoords, xData, xlabel='', ylabel='', replace=False, replot=False, color=self.HISTOGRAMS_COLOR, linestyle='-', selectable=False) vMin = self._cache['histoHMin'] vMax = self._cache['histoHMax'] vOffset = 0.1 * (vMax - vMin) if vOffset == 0.: vOffset = 1. self._histoHPlot.setGraphYLimits(vMin - vOffset, vMax + vOffset) coords = np.arange(2 * histoVVisibleData.size) yCoords = (coords + 1) // 2 + subsetYMin yCoords = yScale[0] + yScale[1] * yCoords yData = np.take(histoVVisibleData, coords // 2) self._histoVPlot.addCurve(yData, yCoords, xlabel='', ylabel='', replace=False, replot=False, color=self.HISTOGRAMS_COLOR, linestyle='-', selectable=False) vMin = self._cache['histoVMin'] vMax = self._cache['histoVMax'] vOffset = 0.1 * (vMax - vMin) if vOffset == 0.: vOffset = 1. self._histoVPlot.setGraphXLimits(vMin - vOffset, vMax + vOffset) else: self._dirtyCache() self._histoHPlot.clearCurves() self._histoVPlot.clearCurves() self._updatingLimits = wasUpdatingLimits def _updateRadarView(self): """Update radar view visible area. Takes care of y coordinate conversion. """ xMin, xMax = self._imagePlot.getGraphXLimits() yMin, yMax = self._imagePlot.getGraphYLimits() self._radarView.setVisibleRect(xMin, yMin, xMax - xMin, yMax - yMin) # Plots event listeners def _imagePlotCB(self, eventDict): """Callback for imageView plot events.""" if eventDict['event'] == 'mouseMoved': activeImage = self._imagePlot.getActiveImage() if activeImage is not None: data = activeImage[0] height, width = data.shape x, y = int(eventDict['x']), int(eventDict['y']) if x >= 0 and x < width and y >= 0 and y < height: self.valueChanged.emit(float(x), float(y), data[y][x]) elif eventDict['event'] == 'limitsChanged': # Do not handle histograms limitsChanged while # updating their limits from here. self._updatingLimits = True # Refresh histograms self._updateHistograms() # could use eventDict['xdata'], eventDict['ydata'] instead xMin, xMax = self._imagePlot.getGraphXLimits() yMin, yMax = self._imagePlot.getGraphYLimits() # Set horizontal histo limits self._histoHPlot.setGraphXLimits(xMin, xMax) self._histoHPlot.replot() # Set vertical histo limits self._histoVPlot.setGraphYLimits(yMin, yMax) self._histoVPlot.replot() self._updateRadarView() self._updatingLimits = False # Replot in case limitsChanged due to set*Limits # called from console. # This results in an extra replot call in other cases. self._imagePlot.replot() def _histoHPlotCB(self, eventDict): """Callback for horizontal histogram plot events.""" if eventDict['event'] == 'mouseMoved': if self._cache is not None: activeImage = self._imagePlot.getActiveImage() if activeImage is not None: xOrigin, xScaleFactor = activeImage[2]['plot_xScale'] minValue = xOrigin + xScaleFactor * self._cache['dataXMin'] data = self._cache['histoH'] width = data.shape[0] x = int(eventDict['x']) if x >= minValue and x < minValue + width: self.valueChanged.emit(float('nan'), float(x), data[x - minValue]) elif eventDict['event'] == 'limitsChanged': if (not self._updatingLimits and eventDict['xdata'] != self._imagePlot.getGraphXLimits()): xMin, xMax = eventDict['xdata'] self._imagePlot.setGraphXLimits(xMin, xMax) self._imagePlot.replot() def _histoVPlotCB(self, eventDict): """Callback for vertical histogram plot events.""" if eventDict['event'] == 'mouseMoved': if self._cache is not None: activeImage = self._imagePlot.getActiveImage() if activeImage is not None: yOrigin, yScaleFactor = activeImage[2]['plot_yScale'] minValue = yOrigin + yScaleFactor * self._cache['dataYMin'] data = self._cache['histoV'] height = data.shape[0] y = int(eventDict['y']) if y >= minValue and y < minValue + height: self.valueChanged.emit(float(y), float('nan'), data[y - minValue]) elif eventDict['event'] == 'limitsChanged': if (not self._updatingLimits and eventDict['ydata'] != self._imagePlot.getGraphYLimits()): yMin, yMax = eventDict['ydata'] self._imagePlot.setGraphYLimits(yMin, yMax) self._imagePlot.replot() def _radarViewCB(self, left, top, width, height): """Slot for radar view visible rectangle changes.""" if not self._updatingLimits: # Takes care of Y axis conversion self._imagePlot.setLimits(left, left + width, top, top + height) self._imagePlot.replot() def _updateYAxisInverted(self): """Sync image, vertical histogram and radar view axis orientation.""" inverted = self._imagePlot.isYAxisInverted() self._imagePlot.invertYAxis(inverted) self._histoVPlot.invertYAxis(inverted) # Use scale to invert radarView # RadarView default Y direction is from top to bottom # As opposed to Plot. So invert RadarView when Plot is NOT inverted. self._radarView.resetTransform() if not inverted: self._radarView.scale(1., -1.) self._updateRadarView() self._imagePlot.replot() self._histoVPlot.replot() self._radarView.update() def getHistogram(self, axis): """Return the histogram and corresponding row or column extent. The returned value when an histogram is available is a dict with keys: - 'data': numpy array of the histogram values. - 'extent': (start, end) row or column index. end index is not included in the histogram. :param str axis: 'x' for horizontal, 'y' for vertical :return: The histogram and its extent as a dict or None. :rtype: dict """ assert axis in ('x', 'y') if self._cache is None: return None else: if axis == 'x': return dict( data=np.array(self._cache['histoH'], copy=True), extent=(self._cache['dataXMin'], self._cache['dataXMax'])) else: return dict( data=np.array(self._cache['histoV'], copy=True), extent=(self._cache['dataYMin'], self._cache['dataYMax'])) def radarView(self): """Get the lower right radarView widget.""" return self._radarView def setRadarView(self, radarView): """Change the lower right radarView widget. :param RadarView radarView: Widget subclassing RadarView to replace the lower right corner widget. """ self._radarView.visibleRectDragged.disconnect(self._radarViewCB) self._radarView = radarView self._radarView.visibleRectDragged.connect(self._radarViewCB) self._layout.addWidget(self._radarView, 1, 1) self._updateYAxisInverted() # PlotWindow toolbar def toolBar(self): """Returns the tool bar associated with the image plot. This is the toolBar provided by :class:`PlotWindow`. :return: The toolBar associated to the image plot. :rtype: QToolBar """ return self._imagePlot.toolBar # High-level API def getColormap(self): """Get the default colormap description. :return: A description of the current colormap. See :meth:`setColormap` for details. :rtype: dict """ return self._imagePlot.getDefaultColormap() def setColormap(self, colormap=None, normalization=None, autoscale=None, vmin=None, vmax=None, colors=256): """Set the default colormap and update active image. Parameters that are not provided are taken from the current colormap. The colormap parameter can also be a dict with the following keys: - *name*: string. The colormap to use: 'gray', 'reversed gray', 'temperature', 'red', 'green', 'blue'. - *normalization*: string. The mapping to use for the colormap: either 'linear' or 'log'. - *autoscale*: bool. Whether to use autoscale (True) or range provided by keys 'vmin' and 'vmax' (False). - *vmin*: float. The minimum value of the range to use if 'autoscale' is False. - *vmax*: float. The maximum value of the range to use if 'autoscale' is False. :param colormap: Name of the colormap in 'gray', 'reversed gray', 'temperature', 'red', 'green', 'blue'. Or the description of the colormap as a dict. :type colormap: dict or str. :param str normalization: Colormap mapping: 'linear' or 'log'. :param bool autoscale: Whether to use autoscale (True) or [vmin, vmax] range (False). :param float vmin: The minimum value of the range to use if 'autoscale' is False. :param float vmax: The maximum value of the range to use if 'autoscale' is False. """ cmapDict = self._imagePlot.getDefaultColormap() if isinstance(colormap, dict): # Support colormap parameter as a dict assert normalization is None assert autoscale is None assert vmin is None assert vmax is None assert colors == 256 for key, value in colormap.items(): cmapDict[key] = value else: if colormap is not None: cmapDict['name'] = colormap if normalization is not None: cmapDict['normalization'] = normalization if autoscale is not None: cmapDict['autoscale'] = autoscale if vmin is not None: cmapDict['vmin'] = vmin if vmax is not None: cmapDict['vmax'] = vmax if 'colors' not in cmapDict: cmapDict['colors'] = 256 cursorColor = _cursorColorForColormap(cmapDict['name']) self._imagePlot.setZoomModeEnabled(True, color=cursorColor) self._imagePlot.setDefaultColormap(cmapDict) activeImage = self._imagePlot.getActiveImage() if activeImage is not None: # Refresh image with new colormap data, legend, info, pixmap = activeImage self._imagePlot.addImage(data, legend=legend, info=info, colormap=self.getColormap(), replace=False, replot=False) self._imagePlot.replot() def setImage(self, image, origin=(0, 0), scale=(1., 1.), copy=True, reset=True): """Set the image to display. :param image: A 2D array representing the image or None to empty plot. :type image: numpy.ndarray-like with 2 dimensions or None. :param origin: The (x, y) position of the origin of the image. Default: (0, 0). The origin is the lower left corner of the image when the Y axis is not inverted. :type origin: Tuple of 2 floats: (origin x, origin y). :param scale: The scale factor to apply to the image on X and Y axes. Default: (1, 1). It is the size of a pixel in the coordinates of the axes. Scales must be positive numbers. :type scale: Tuple of 2 floats: (scale x, scale y). :param bool copy: Whether to copy image data (default) or not. :param bool reset: Whether to reset zoom and ROI (default) or not. """ self._dirtyCache() assert len(origin) == 2 assert len(scale) == 2 assert scale[0] > 0 assert scale[1] > 0 if image is None: self._imagePlot.removeImage(self._imageLegend, replot=False) return data = np.array(image, order='C', copy=copy) assert data.size != 0 assert len(data.shape) == 2 height, width = data.shape self._imagePlot.addImage(data, legend=self._imageLegend, xScale=(origin[0], scale[0]), yScale=(origin[1], scale[1]), colormap=self.getColormap(), replace=False, replot=False) self._imagePlot.setActiveImage(self._imageLegend) self._updateHistograms() self._radarView.setDataRect(origin[0], origin[1], width * scale[0], height * scale[1]) if reset: self.resetZoom() else: self._histoHPlot.replot() self._histoVPlot.replot() self._imagePlot.replot() #################### # Plot API proxies # #################### # Rebuild side histograms if active image gets changed through the Plot API def addImage(self, data, legend=None, info=None, replace=True, replot=True, xScale=None, yScale=None, z=0, selectable=False, draggable=False, colormap=None, **kw): if legend == self._imagePlot.getActiveImage(just_legend=True): # Updating active image, resets side histograms cache self._dirtyCache() result = self._imagePlot.addImage(data, legend, info, replace, replot, xScale, yScale, z, selectable, draggable, colormap, **kw) self._updateHistograms() if replot: self._histoHPlot.replot() self._histoVPlot.replot() return result def clear(self): self._dirtyCache() return self._imagePlot.clear() def clearImages(self): self._dirtyCache() return self._imagePlot.clearImages() def removeImage(self, legend, replot=True): if legend == self._imagePlot.getActiveImage(just_legend=True): # Removing active image, resets side histograms cache self._dirtyCache() result = self._imageView.removeImage(legend, replot) self._updateHistograms() if replot: self._histoHPlot.replot() self._histoVPlot.replot() return result def setActiveImage(self, legend, replot=True): # Active image changes, resets side histogram cache self._dirtyCache() result = self._imagePlot.setActiveImage(legend, replot) self._updateHistograms() if replot: self._histoHPlot.replot() self._histoVPlot.replot() return result # Invert axes def invertYAxis(self, flag=True): result = self._imagePlot.invertYAxis(flag) self._updateYAxisInverted() # To sync vert. histo and radar view return result # Ugly yet simple proxy for the Plot API def __getattr__(self, name): """Proxy to expose image plot API.""" return getattr(self._imagePlot, name) # ImageViewMainWindow ######################################################### class ImageViewMainWindow(qt.QMainWindow): """QMainWindow embedding an ImageView. Surrounds the ImageView with an associated toolbar and status bar. """ def __init__(self, parent=None, windowFlags=qt.Qt.Widget, backend=None): self._dataInfo = None super(ImageViewMainWindow, self).__init__(parent, windowFlags) # Create the ImageView widget and add it to the QMainWindow self.imageView = ImageView(backend=backend) self.imageView.setGraphXLabel('X') self.imageView.setGraphYLabel('Y') self.imageView.setGraphTitle('Image') self.imageView._imagePlot.sigColormapChangedSignal.connect( self._colormapUpdated) self.setCentralWidget(self.imageView) # Using PlotWindow's toolbar self.addToolBar(self.imageView.toolBar()) self.profileToolBar = ProfileToolBar(self.imageView._imagePlot) self.addToolBar(self.profileToolBar) self.addToolBar(qt.Qt.BottomToolBarArea, LimitsToolBar(self.imageView)) self.statusBar() # Connect to ImageView's signal self.imageView.valueChanged.connect(self._statusBarSlot) def _colormapUpdated(self, colormap): """Sync ROI color with current colormap""" self.profileToolBar.overlayColor = _cursorColorForColormap( colormap['name']) def _statusBarSlot(self, row, column, value): """Update status bar with coordinates/value from plots.""" if np.isnan(row): msg = 'Column: %d, Sum: %g' % (int(column), value) elif np.isnan(column): msg = 'Row: %d, Sum: %g' % (int(row), value) else: msg = 'Position: (%d, %d), Value: %g' % (int(row), int(column), value) if self._dataInfo is not None: msg = self._dataInfo + ', ' + msg self.statusBar().showMessage(msg) def setImage(self, image, *args, **kwargs): """Set the displayed image. See :meth:`ImageView.setImage` for details. """ if hasattr(image, 'dtype') and hasattr(image, 'shape'): assert len(image.shape) == 2 height, width = image.shape self._dataInfo = 'Data: %dx%d (%s)' % (width, height, str(image.dtype)) self.statusBar().showMessage(self._dataInfo) else: self._dataInfo = None # Set the new image in ImageView widget self.imageView.setImage(image, *args, **kwargs) self.profileToolBar.updateProfile() self.setStatusBar(None) # main ######################################################################## if __name__ == "__main__": import argparse import os.path import sys from PyMca5.PyMcaIO.EdfFile import EdfFile # Command-line arguments parser = argparse.ArgumentParser( description='Browse the images of an EDF file.') parser.add_argument( '-b', '--backend', choices=('mpl', 'opengl', 'osmesa'), help="""The plot backend to use: Matplotlib (mpl, the default), OpenGL 2.1 (opengl, requires appropriate OpenGL drivers) or Off-screen Mesa OpenGL software pipeline (osmesa, requires appropriate OSMesa library).""") parser.add_argument( '-o', '--origin', nargs=2, type=float, default=(0., 0.), help="""Coordinates of the origin of the image: (x, y). Default: 0., 0.""") parser.add_argument( '-s', '--scale', nargs=2, type=float, default=(1., 1.), help="""Scale factors applied to the image: (sx, sy). Default: 1., 1.""") parser.add_argument('filename', help='EDF filename of the image to open') args = parser.parse_args() # Open the input file if not os.path.isfile(args.filename): raise RuntimeError('No input file: %s' % args.filename) edfFile = EdfFile(args.filename) nbFrames = edfFile.GetNumImages() if nbFrames == 0: raise RuntimeError( 'Cannot read image(s) from file: %s' % args.filename) # Set-up Qt application and main window app = qt.QApplication([]) mainWindow = ImageViewMainWindow(backend=args.backend) mainWindow.setImage(edfFile.GetData(0), origin=args.origin, scale=args.scale) if nbFrames > 1: # Add a toolbar for multi-frame EDF support multiFrameToolbar = qt.QToolBar('Multi-frame') multiFrameToolbar.addWidget(qt.QLabel( 'Frame [0-%d]:' % (nbFrames - 1))) spinBox = qt.QSpinBox() spinBox.setRange(0, nbFrames-1) def updateImage(index): mainWindow.setImage(edfFile.GetData(index), origin=args.origin, scale=args.scale, reset=False) spinBox.valueChanged[int].connect(updateImage) multiFrameToolbar.addWidget(spinBox) mainWindow.addToolBar(multiFrameToolbar) mainWindow.show() sys.exit(app.exec_()) PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/MaskImageWidget.py0000644000276300001750000027350213136054446022732 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy from PyMca5.PyMcaGraph.ctools import pnpoly from . import RGBCorrelatorGraph from . import ColormapDialog qt = RGBCorrelatorGraph.qt IconDict = RGBCorrelatorGraph.IconDict convertToRowAndColumn = RGBCorrelatorGraph.convertToRowAndColumn QTVERSION = qt.qVersion() if hasattr(qt, "QString"): QString = qt.QString else: QString = qt.safe_str MATPLOTLIB = False try: from PyMca5.PyMcaGui.pymca import QPyMcaMatplotlibSave MATPLOTLIB = True except ImportError: MATPLOTLIB = False from PyMca5 import spslut from PyMca5.PyMcaCore import PyMcaDirs from PyMca5.PyMcaIO import ArraySave from . import ProfileScanWidget from PyMca5.PyMcaMath.fitting import SpecfitFuns COLORMAPLIST = [spslut.GREYSCALE, spslut.REVERSEGREY, spslut.TEMP, spslut.RED, spslut.GREEN, spslut.BLUE, spslut.MANY] OVERLAY_DRAW = True DEFAULT_COLORMAP_INDEX = 2 DEFAULT_COLORMAP_LOG_FLAG = False DEBUG = 0 USE_PICKER = False class MaskImageWidget(qt.QWidget): sigMaskImageWidgetSignal = qt.pyqtSignal(object) def __init__(self, parent = None, rgbwidget=None, backend=None, selection=True, colormap=False, imageicons=True, standalonesave=True, usetab=False, profileselection=False, scanwindow=None, aspect=False, polygon=None, maxNRois=1): qt.QWidget.__init__(self, parent) self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.setWindowTitle("PyMca - Image Selection Tool") if 0: screenHeight = qt.QDesktopWidget().height() if screenHeight > 0: self.setMaximumHeight(int(0.99*screenHeight)) self.setMinimumHeight(int(0.5*screenHeight)) screenWidth = qt.QDesktopWidget().width() if screenWidth > 0: self.setMaximumWidth(int(screenWidth)-5) self.setMinimumWidth(min(int(0.5*screenWidth),800)) self._y1AxisInverted = False self.__selectionMask = None self._selectionColors = None self.__imageData = None self.__pixmap0 = None self.__pixmap = None self.__image = None self._xScale = None self._yScale = None self._backend = backend self.colormap = None self.colormapDialog = None self.setDefaultColormap(DEFAULT_COLORMAP_INDEX, DEFAULT_COLORMAP_LOG_FLAG) self.rgbWidget = rgbwidget self.__imageIconsFlag = imageicons if polygon is None: polygon = imageicons self.__selectionFlag = selection self.__useTab = usetab self.mainTab = None self.__aspect = aspect self._maxNRois = maxNRois self._nRoi = 1 self._build(standalonesave, profileselection=profileselection, polygon=polygon) self._profileSelectionWindow = None self._profileScanWindow = scanwindow self.__brushMenu = None self.__brushMode = False self.__eraseMode = False self.__connected = True self.__setBrush2() self.outputDir = None self._saveFilter = None self._buildConnections() self._matplotlibSaveImage = None # the last overlay legend used self.__lastOverlayLegend = None self.__lastOverlayWidth = None # the projection mode self.__lineProjectionMode = 'D' def _build(self, standalonesave, profileselection=False, polygon=False): self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) if self.__useTab: self.mainTab = qt.QTabWidget(self) #self.graphContainer =qt.QWidget() #self.graphContainer.mainLayout = qt.QVBoxLayout(self.graphContainer) #self.graphContainer.mainLayout.setContentsMargins(0, 0, 0, 0) #self.graphContainer.mainLayout.setSpacing(0) self.graphWidget = RGBCorrelatorGraph.RGBCorrelatorGraph(self, backend=self._backend, selection = self.__selectionFlag, colormap=True, imageicons=self.__imageIconsFlag, standalonesave=False, standalonezoom=False, aspect=self.__aspect, profileselection=profileselection, polygon=polygon) self.mainTab.addTab(self.graphWidget, 'IMAGES') else: self.graphWidget = RGBCorrelatorGraph.RGBCorrelatorGraph(self, backend=self._backend, selection =self.__selectionFlag, colormap=True, imageicons=self.__imageIconsFlag, standalonesave=False, standalonezoom=False, profileselection=profileselection, aspect=self.__aspect, polygon=polygon) if self._maxNRois > 1: # multiple ROI control self._buildMultipleRois() else: self._roiTags=[1] #for easy compatibility with RGBCorrelatorGraph self.graph = self.graphWidget.graph if profileselection: self.graphWidget.sigProfileSignal.connect(self._profileSignalSlot) if standalonesave: self.buildStandaloneSaveMenu() self.graphWidget.zoomResetToolButton.clicked.connect(self._zoomResetSignal) self.graphWidget.graph.setDrawModeEnabled(False) self.graphWidget.graph.setZoomModeEnabled(True) if self.__selectionFlag: if self.__imageIconsFlag: self.setSelectionMode(False) self._toggleSelectionMode() self.graphWidget.graph.setDrawModeEnabled(True, shape="rectangle", label="mask") else: self.setSelectionMode(True) self._toggleSelectionMode() if self.__useTab: self.mainLayout.addWidget(self.mainTab) else: self.mainLayout.addWidget(self.graphWidget) def buildStandaloneSaveMenu(self): self.graphWidget.saveToolButton.clicked.connect(self._saveToolButtonSignal) self._saveMenu = qt.QMenu() self._saveMenu.addAction(QString("Image Data"), self.saveImageList) self._saveMenu.addAction(QString("Colormap Clipped Seen Image Data"), self.saveClippedSeenImageList) self._saveMenu.addAction(QString("Clipped and Subtracted Seen Image Data"), self.saveClippedAndSubtractedSeenImageList) self._saveMenu.addAction(QString("Standard Graphics"), self.graphWidget._saveIconSignal) if MATPLOTLIB: self._saveMenu.addAction(QString("Matplotlib") , self._saveMatplotlibImage) def _buildMultipleRois(self): """ Multiple ROI control """ mytoolbar = self.graphWidget.toolBar self._nRoiLabel = qt.QLabel(mytoolbar) self._nRoiLabel.setText("Roi:") mytoolbar.layout().addWidget(self._nRoiLabel ) self._nRoiSelector = qt.QSpinBox(mytoolbar) self._nRoiSelector.setMinimum(1) self._nRoiSelector.setMaximum(self._maxNRois) mytoolbar.layout().addWidget(self._nRoiSelector) self._nRoiSelector.valueChanged[int].connect(self.setActiveRoiNumber) if 0: self._nRoiTagLabel = qt.QLabel(mytoolbar) self._nRoiTagLabel.setText("Tag:") mytoolbar.layout().addWidget(self._nRoiTagLabel) self._nRoiTag = qt.QSpinBox(mytoolbar) self._nRoiTag.setMinimum(1) self._nRoiTag.setMaximum(self._maxNRois) mytoolbar.layout().addWidget(self._nRoiTag) self._nRoiTag.valueChanged[int].connect(self.tagRoi) # initialize tags (ROI 1 , has tag 1, ROI 2 has tag 2, ...) self._roiTags = list(range(1, self._maxNRois + 1)) def _buildConnections(self, widget = None): self.graphWidget.hFlipToolButton.clicked.connect(self._hFlipIconSignal) self.graphWidget.colormapToolButton.clicked.connect(self.selectColormap) if self.__selectionFlag: self.graphWidget.selectionToolButton.clicked.connect(self._toggleSelectionMode) text = "Toggle between Selection\nand Zoom modes" self.graphWidget.selectionToolButton.setToolTip(text) if self.__imageIconsFlag: self.graphWidget.imageToolButton.clicked.connect(\ self.__resetSelection) self.graphWidget.eraseSelectionToolButton.clicked.connect(\ self._setEraseSelectionMode) self.graphWidget.rectSelectionToolButton.clicked.connect(\ self._setRectSelectionMode) self.graphWidget.brushSelectionToolButton.clicked.connect(\ self._setBrushSelectionMode) self.graphWidget.brushToolButton.clicked.connect(self._setBrush) if hasattr(self.graphWidget, "polygonSelectionToolButton"): self.graphWidget.polygonSelectionToolButton.clicked.connect(\ self._setPolygonSelectionMode) self.graphWidget.additionalSelectionToolButton.clicked.connect(\ self._additionalSelectionMenuDialog) self._additionalSelectionMenu = qt.QMenu() self._additionalSelectionMenu.addAction(QString("Reset Selection"), self.__resetSelection) self._additionalSelectionMenu.addAction(QString("Invert Selection"), self._invertSelection) self._additionalSelectionMenu.addAction(QString("I >= Colormap Max"), self._selectMax) self._additionalSelectionMenu.addAction(QString("Colormap Min < I < Colormap Max"), self._selectMiddle) self._additionalSelectionMenu.addAction(QString("I <= Colormap Min"), self._selectMin) self.graphWidget.graph.sigPlotSignal.connect(self._graphSignal) def setSelectionColors(self, selectionColors): """ selectionColors must be None or an array of shape (n, 4) of type numpy.uint8 """ if selectionColors is None: self._selectionColors = None return if selectionColors.shape[1] != 4: raise ValueError("Array of shape (maxNRois, 4) needed") if selectionColors.dtype != numpy.uint8: raise TypeError("Array of unsigned bytes needed") self._selectionColors = selectionColors def additionalSelectionMenu(self): return self._additionalSelectionMenu def updateProfileSelectionWindow(self): mode = self.graphWidget.getPickerSelectionMode() if self.__lastOverlayLegend is not None: if mode is None: # remove the overlay if present legend = self.__lastOverlayLegend self.graphWidget.graph.removeItem(legend) elif self.__lastOverlayWidth is not None: # create a fake signal ddict = {} ddict['event'] = "profileWidthChanged" ddict['pixelwidth'] = self.__lastOverlayWidth ddict['mode'] = mode self._profileSignalSlot(ddict) def _profileSignalSlot(self, ddict): if DEBUG: print("_profileSignalSLot, event = %s" % ddict['event']) print("Received ddict = ", ddict) if ddict['event'] in [None, "NONE"]: #Nothing to be made return if ddict['event'] == "profileWidthChanged": if self.__lastOverlayLegend is not None: legend = self.__lastOverlayLegend #TODO: Find a better way to deal with this if legend in self.graphWidget.graph._itemDict: info = self.graphWidget.graph._itemDict[legend]['info'] if info['mode'] == ddict['mode']: newDict = {} newDict['event'] = "updateProfile" newDict['xdata'] = info['xdata'] * 1 newDict['ydata'] = info['ydata'] * 1 newDict['mode'] = info['mode'] * 1 newDict['pixelwidth'] = ddict['pixelwidth'] * 1 info = None #self._updateProfileCurve(newDict) self._profileSignalSlot(newDict) return if self._profileSelectionWindow is None: if self._profileScanWindow is None: #identical to the standard scan window self._profileSelectionWindow = ProfileScanWidget.ProfileScanWidget(actions=False) else: self._profileSelectionWindow = ProfileScanWidget.ProfileScanWidget(actions=True) self._profileSelectionWindow.sigAddClicked.connect( \ self._profileSelectionSlot) self._profileSelectionWindow.sigRemoveClicked.connect( \ self._profileSelectionSlot) self._profileSelectionWindow.sigReplaceClicked.connect( self._profileSelectionSlot) self._interpolate = SpecfitFuns.interpol #if I do not return here and the user interacts with the graph while #the profileSelectionWindow is not shown, I get crashes under Qt 4.5.3 and MacOS X #when calling _getProfileCurve ############## TODO: show it here? self._profileSelectionWindow.show() return self._updateProfileCurve(ddict) def _updateProfileCurve(self, ddict): curve = self._getProfileCurve(ddict) if curve is None: return xdata, ydata, legend, info = curve replot=True replace=True idx = numpy.isfinite(ydata) xdata = xdata[idx] ydata = ydata[idx] self._profileSelectionWindow.addCurve(xdata, ydata, legend=legend, info=info, replot=replot, replace=replace) def getGraphTitle(self): try: title = self.graphWidget.graph.getGraphTitle() if sys.version < '3.0': title = qt.safe_str(title) except: title = "" return title def setGraphTitle(self, title=""): self.graphWidget.graph.setGraphTitle(title) def setLineProjectionMode(self, mode): """ Set the line projection mode. mode: 1 character string. Allowed options 'D', 'X' 'Y' D - Plot the intensity over the drawn line over as many intervals as pixels over the axis containing the longest projection in pixels. X - Plot the intensity over the drawn line over as many intervals as pixels over the X axis Y - Plot the intensity over the drawn line over as many intervals as pixels over the Y axis """ m = mode.upper() if m not in ['D', 'X', 'Y']: raise ValueError("Invalid mode %s. It has to be 'D', 'X' or 'Y'") self.__lineProjectionMode = m def getLineProjectionMode(self): return self.__lineProjectionMode def _getProfileCurve(self, ddict, image=None, overlay=OVERLAY_DRAW): if image is None: imageData = self.__imageData else: imageData = image if imageData is None: return None title = self.getGraphTitle() self._profileSelectionWindow.setGraphTitle(title) if self._profileScanWindow is not None: self._profileSelectionWindow.label.setText(title) #showing the profileSelectionWindow now can make the program crash if the workaround mentioned above #is not implemented self._profileSelectionWindow.show() #self._profileSelectionWindow.raise_() if ddict['event'] == 'profileModeChanged': if self.__lastOverlayLegend: self.graphWidget.graph.removeItem(self.__lastOverlayLegend, replot=True) return #if I show the image here it does not crash, but it is not nice because #the user would get the profileSelectionWindow under his mouse #self._profileSelectionWindow.show() if ('row' in ddict) and ('column' in ddict): # probably arriving after width changed pass else: r0, c0 = convertToRowAndColumn(ddict['xdata'][0], ddict['ydata'][0], self.__imageData.shape, xScale=self._xScale, yScale=self._yScale, safe=True) r1, c1 = convertToRowAndColumn(ddict['xdata'][1], ddict['ydata'][1], self.__imageData.shape, xScale=self._xScale, yScale=self._yScale, safe=True) ddict['row'] = [r0, r1] ddict['column'] = [c0, c1] shape = imageData.shape width = ddict['pixelwidth'] - 1 if ddict['mode'].upper() in ["HLINE", "HORIZONTAL"]: xLabel = self.getXLabel() deltaDistance = 1.0 if width < 1: row = int(ddict['row'][0]) if row < 0: row = 0 if row >= shape[0]: row = shape[0] - 1 ydata = imageData[row, :] legend = "Row = %d" % row if overlay: #self.drawOverlayItem(x, y, legend=name, info=info, replot, replace) self.drawOverlayItem([0.0, shape[1], shape[1], 0.0], [row, row, row+1, row+1], legend=ddict['mode'], info=ddict, replace=True, replot=True) else: row0 = int(int(ddict['row'][0]) - 0.5 * width) if row0 < 0: row0 = 0 row1 = row0 + width else: row1 = int(int(ddict['row'][0]) + 0.5 * width) if row1 >= shape[0]: row1 = shape[0] - 1 row0 = max(0, row1 - width) ydata = imageData[row0:row1+1, :].sum(axis=0) legend = "Row = %d to %d" % (row0, row1) if overlay: #self.drawOverlayItem(x, y, legend=name, info=info, replot, replace) self.drawOverlayItem([0.0, 0.0, shape[1], shape[1]], [row0, row1+1, row1+1, row0], legend=ddict['mode'], info=ddict, replace=True, replot=True) xdata = numpy.arange(shape[1]).astype(numpy.float) if self._xScale is not None: xdata = self._xScale[0] + xdata * self._xScale[1] elif ddict['mode'].upper() in ["VLINE", "VERTICAL"]: xLabel = self.getYLabel() deltaDistance = 1.0 if width < 1: column = int(ddict['column'][0]) if column < 0: column = 0 if column >= shape[1]: column = shape[1] - 1 ydata = imageData[:, column] legend = "Column = %d" % column if overlay: #self.drawOverlayItem(x, y, legend=name, info=info, replot, replace) self.drawOverlayItem([column, column, column+1, column+1], [0.0, shape[0], shape[0], 0.0], legend=ddict['mode'], info=ddict, replace=True, replot=True) else: col0 = int(int(ddict['column'][0]) - 0.5 * width) if col0 < 0: col0 = 0 col1 = col0 + width else: col1 = int(int(ddict['column'][0]) + 0.5 * width) if col1 >= shape[1]: col1 = shape[1] - 1 col0 = max(0, col1 - width) ydata = imageData[:, col0:col1+1].sum(axis=1) legend = "Col = %d to %d" % (col0, col1) if overlay: #self.drawOverlayItem(x, y, legend=name, info=info, replot, replace) self.drawOverlayItem([col0, col0, col1+1, col1+1], [0, shape[0], shape[0], 0.], legend=ddict['mode'], info=ddict, replace=True, replot=True) xdata = numpy.arange(shape[0]).astype(numpy.float) if self._yScale is not None: xdata = self._yScale[0] + xdata * self._yScale[1] elif ddict['mode'].upper() in ["LINE"]: if len(ddict['column']) == 1: #only one point given return #the coordinates of the reference points x0 = numpy.arange(float(shape[0])) y0 = numpy.arange(float(shape[1])) #get the interpolation points col0, col1 = [int(x) for x in ddict['column']] row0, row1 = [int(x) for x in ddict['row']] deltaCol = abs(col0 - col1) deltaRow = abs(row0 - row1) if self.__lineProjectionMode == 'X' or ( self.__lineProjectionMode == 'D' and deltaCol >= deltaRow): npoints = deltaCol + 1 if col1 < col0: # Invert start and end points row0, col0, row1, col1 = row1, col1, row0, col0 else: # mode == 'Y' or (mode == 'D' and deltaCol < deltaRow) npoints = deltaRow + 1 if row1 < row0: # Invert start and end points row0, col0, row1, col1 = row1, col1, row0, col0 if npoints == 1: #all points are the same if DEBUG: print("START AND END POINT ARE THE SAME!!") return if width < 0: # width = pixelwidth - 1 x = numpy.zeros((npoints, 2), numpy.float) x[:, 0] = numpy.linspace(row0, row1, npoints) x[:, 1] = numpy.linspace(col0, col1, npoints) legend = "From (%.3f, %.3f) to (%.3f, %.3f)" % (col0, row0, col1, row1) #perform the interpolation ydata = self._interpolate((x0, y0), imageData, x) xdata = numpy.arange(float(npoints)) if overlay: #self.drawOverlayItem(x, y, legend=name, info=info, replot, replace) self.drawOverlayItem([col0, col1], [row0, row1], legend=ddict['mode'], info=ddict, replace=True, replot=True) elif deltaCol == 0: #vertical line col0 = int(int(ddict['column'][0]) - 0.5 * width) if col0 < 0: col0 = 0 col1 = col0 + width else: col1 = int(int(ddict['column'][0]) + 0.5 * width) if col1 >= shape[1]: col1 = shape[1] - 1 col0 = max(0, col1 - width) row0 = int(ddict['row'][0]) row1 = int(ddict['row'][1]) if row0 > row1: tmp = row0 row0 = row1 row1 = tmp if row0 < 0: row0 = 0 if row1 >= shape[0]: row1 = shape[0] - 1 ydata = imageData[row0:row1+1, col0:col1+1].sum(axis=1) legend = "Col = %d to %d" % (col0, col1) npoints = max(ydata.shape) xdata = numpy.arange(float(npoints)) if overlay: #self.drawOverlayItem(x, y, legend=name, info=info, replot, replace) self.drawOverlayItem([col0, col0, col1+1, col1+1], [row0, row1+1, row1+1, row0], legend=ddict['mode'], info=ddict, replace=True, replot=True) elif deltaRow == 0: #horizontal line row0 = int(int(ddict['row'][0]) - 0.5 * width) if row0 < 0: row0 = 0 row1 = row0 + width else: row1 = int(int(ddict['row'][0]) + 0.5 * width) if row1 >= shape[0]: row1 = shape[0] - 1 row0 = max(0, row1 - width) col0 = int(ddict['column'][0]) col1 = int(ddict['column'][1]) if col0 > col1: tmp = col0 col0 = col1 col1 = tmp if col0 < 0: col0 = 0 if col1 >= shape[1]: col1 = shape[1] - 1 ydata = imageData[row0:row1+1, col0:col1+1].sum(axis=0) legend = "Row = %d to %d" % (row0, row1) npoints = max(ydata.shape) xdata = numpy.arange(float(npoints)) if overlay: #self.drawOverlayItem(x, y, legend=name, info=info, replot, replace) self.drawOverlayItem([col0, col0, col1+1, col1+1], [row0, row1+1, row1+1, row0], legend=ddict['mode'], info=ddict, replace=True, replot=True) else: #restore original value of width width = ddict['pixelwidth'] #find m and b in the line y = mx + b m = (row1 - row0) / float((col1 - col0)) b = row0 - m * col0 alpha = numpy.arctan(m) #imagine the following sequence # - change origin to the first point # - clock-wise rotation to bring the line on the x axis of a new system # so that the points (col0, row0) and (col1, row1) become (x0, 0) (x1, 0) # - counter clock-wise rotation to get the points (x0, -0.5 width), # (x0, 0.5 width), (x1, 0.5 * width) and (x1, -0.5 * width) back to the # original system. # - restore the origin to (0, 0) # - if those extremes are inside the image the selection is acceptable cosalpha = numpy.cos(alpha) sinalpha = numpy.sin(alpha) newCol0 = 0.0 newCol1 = (col1-col0) * cosalpha + (row1-row0) * sinalpha newRow0 = 0.0 newRow1 = -(col1-col0) * sinalpha + (row1-row0) * cosalpha if DEBUG: print("new X0 Y0 = %f, %f " % (newCol0, newRow0)) print("new X1 Y1 = %f, %f " % (newCol1, newRow1)) tmpX = numpy.linspace(newCol0, newCol1, npoints).astype(numpy.float) rotMatrix = numpy.zeros((2,2), numpy.float) rotMatrix[0,0] = cosalpha rotMatrix[0,1] = - sinalpha rotMatrix[1,0] = sinalpha rotMatrix[1,1] = cosalpha if DEBUG: #test if I recover the original points testX = numpy.zeros((2, 1) , numpy.float) colRow = numpy.dot(rotMatrix, testX) print("Recovered X0 = %f" % (colRow[0,0] + col0)) print("Recovered Y0 = %f" % (colRow[1,0] + row0)) print("It should be = %f, %f" % (col0, row0)) testX[0,0] = newCol1 testX[1,0] = newRow1 colRow = numpy.dot(rotMatrix, testX) print("Recovered X1 = %f" % (colRow[0,0] + col0)) print("Recovered Y1 = %f" % (colRow[1,0] + row0)) print("It should be = %f, %f" % (col1, row1)) #find the drawing limits testX = numpy.zeros((2, 4) , numpy.float) testX[0,0] = newCol0 testX[0,1] = newCol0 testX[0,2] = newCol1 testX[0,3] = newCol1 testX[1,0] = newRow0 - 0.5 * width testX[1,1] = newRow0 + 0.5 * width testX[1,2] = newRow1 + 0.5 * width testX[1,3] = newRow1 - 0.5 * width colRow = numpy.dot(rotMatrix, testX) colLimits0 = colRow[0, :] + col0 rowLimits0 = colRow[1, :] + row0 for a in rowLimits0: if (a >= shape[0]) or (a < 0): print("outside row limits",a) return for a in colLimits0: if (a >= shape[1]) or (a < 0): print("outside column limits",a) return r0 = rowLimits0[0] r1 = rowLimits0[1] if r0 > r1: print("r0 > r1", r0, r1) raise ValueError("r0 > r1") x = numpy.zeros((2, npoints) , numpy.float) tmpMatrix = numpy.zeros((npoints, 2) , numpy.float) if 0: #take only the central point oversampling = 1 x[0, :] = tmpX x[1, :] = 0.0 colRow = numpy.dot(rotMatrix, x) colRow[0, :] += col0 colRow[1, :] += row0 tmpMatrix[:,0] = colRow[1,:] tmpMatrix[:,1] = colRow[0,:] ydataCentral = self._interpolate((x0, y0),\ imageData, tmpMatrix) #multiply by width too have the equivalent scale ydata = ydataCentral else: if True: #ddict['event'] == "PolygonSelected": #oversampling solves noise introduction issues oversampling = width + 1 oversampling = min(oversampling, 21) else: oversampling = 1 ncontributors = width * oversampling iterValues = numpy.linspace(-0.5*width, 0.5*width, ncontributors) tmpMatrix = numpy.zeros((npoints*len(iterValues), 2) , numpy.float) x[0, :] = tmpX offset = 0 for i in iterValues: x[1, :] = i colRow = numpy.dot(rotMatrix, x) colRow[0, :] += col0 colRow[1, :] += row0 """ colLimits = [colRow[0, 0], colRow[0, -1]] rowLimits = [colRow[1, 0], colRow[1, -1]] for a in rowLimits: if (a >= shape[0]) or (a < 0): print("outside row limits",a) return for a in colLimits: if (a >= shape[1]) or (a < 0): print("outside column limits",a) return """ #it is much faster to make one call to the interpolating #routine than making many calls tmpMatrix[offset:(offset+npoints),0] = colRow[1,:] tmpMatrix[offset:(offset+npoints),1] = colRow[0,:] offset += npoints ydata = self._interpolate((x0, y0),\ imageData, tmpMatrix) ydata.shape = len(iterValues), npoints ydata = ydata.sum(axis=0) #deal with the oversampling ydata /= oversampling xdata = numpy.arange(float(npoints)) legend = "y = %f (x-%.1f) + %f ; width=%d" % (m, col0, b, width) if overlay: self.drawOverlayItem(colLimits0, rowLimits0, legend=ddict['mode'], info=ddict, replace=True, replot=True) if self.__lineProjectionMode == 'X': xLabel = self.getXLabel() xdata += col0 if self._xScale is not None: xdata = self._xScale[0] + xdata * self._xScale[1] elif self.__lineProjectionMode == 'Y': xLabel = self.getYLabel() xdata += row0 if self._xScale is not None: xdata = self._yScale[0] + xdata * self._yScale[1] else: xLabel = "Distance" if self._xScale is not None: deltaCol *= self._xScale[1] deltaRow *= self._yScale[1] #get the abscisa in distance units deltaDistance = numpy.sqrt(float(deltaCol) * deltaCol + float(deltaRow) * deltaRow)/(npoints-1.0) xdata *= deltaDistance else: if DEBUG: print("Mode %s not supported yet" % ddict['mode']) return self.__lastOverlayWidth = ddict['pixelwidth'] info = {} info['xlabel'] = xLabel info['ylabel'] = "Z" return xdata, ydata, legend, info def _profileSelectionSlot(self, ddict): if DEBUG: print(ddict) # the curves as [[x0, y0, legend0, info0], ...] curveList = ddict['curves'] label = ddict['label'] n = len(curveList) if ddict['event'] == 'ADD': for i in range(n): x, y, legend, info = curveList[i] info['profilelabel'] = label if i == (n-1): replot = True self._profileScanWindow.addCurve(x, y, legend=legend, info=info, replot=replot, replace=False) elif ddict['event'] == 'REPLACE': for i in range(n): x, y, legend, info = curveList[i] info['profilelabel'] = label if i in [0, n-1]: replace = True else: replace = False if i == (n-1): replot = True else: replot = False self._profileScanWindow.addCurve(x, y, legend=legend, info=info, replot=replot, replace=replace) elif ddict['event'] == 'REMOVE': curveList = self._profileScanWindow.getAllCurves() if curveList in [None, []]: return toDelete = [] n = len(curveList) for i in range(n): x, y, legend, info = curveList[i] curveLabel = info.get('profilelabel', None) if curveLabel is not None: if label == curveLabel: toDelete.append(legend) n = len(toDelete) for i in range(n): legend = toDelete[i] if i == (n-1): replot = True else: replot = False self._profileScanWindow.removeCurve(legend, replot=replot) def drawOverlayItem(self, x, y, legend=None, info=None, replace=False, replot=True): #same call as the plot1D addCurve command if legend is None: legend="UnnamedOverlayItem" #the type of x can be list or array shape = self.__imageData.shape if self._xScale is None: xList = x else: xList = [] for i in x: xList.append(self._xScale[0] + i * self._xScale[1]) if self._yScale is None: yList = y else: yList = [] for i in y: yList.append(self._yScale[0] + i * self._yScale[1]) self.graphWidget.graph.addItem(xList, yList, legend=legend, info=info, replace=replace, replot=replot, shape="polygon", fill=True) self.__lastOverlayLegend = legend def _hFlipIconSignal(self): self._y1AxisInverted = self.graphWidget.graph.isYAxisInverted() if self._y1AxisInverted: self._y1AxisInverted = False else: self._y1AxisInverted = True #self.graphWidget.graph.zoomReset() self.graphWidget.graph.invertYAxis(self._y1AxisInverted) self._y1AxisInverted = self.graphWidget.graph.isYAxisInverted() self.graphWidget.graph.replot() #inform the other widgets ddict = {} ddict['event'] = "hFlipSignal" ddict['current'] = self._y1AxisInverted * 1 ddict['id'] = id(self) self.emitMaskImageSignal(ddict) def setY1AxisInverted(self, value): self._y1AxisInverted = value self.graphWidget.graph.invertYAxis(self._y1AxisInverted) def setXLabel(self, label="Column"): return self.graphWidget.setXLabel(label) def setYLabel(self, label="Row"): return self.graphWidget.setYLabel(label) def getXLabel(self): return self.graphWidget.getXLabel() def getYLabel(self): return self.graphWidget.getYLabel() def buildAndConnectImageButtonBox(self, replace=True, multiple=False): # The IMAGE selection self.imageButtonBox = qt.QWidget(self) buttonBox = self.imageButtonBox self.imageButtonBoxLayout = qt.QHBoxLayout(buttonBox) self.imageButtonBoxLayout.setContentsMargins(0, 0, 0, 0) self.imageButtonBoxLayout.setSpacing(0) self.addImageButton = qt.QPushButton(buttonBox) icon = qt.QIcon(qt.QPixmap(IconDict["rgb16"])) self.addImageButton.setIcon(icon) self.addImageButton.setText("ADD IMAGE") self.imageButtonBoxLayout.addWidget(self.addImageButton) if multiple: self.addAllImageButton = qt.QPushButton(buttonBox) self.addAllImageButton.setIcon(icon) self.addAllImageButton.setText("ADD ALL") self.imageButtonBoxLayout.addWidget(self.addAllImageButton) self.addAllImageButton.clicked.connect( \ self._addAllImageClicked) self.removeImageButton = qt.QPushButton(buttonBox) self.removeImageButton.setIcon(icon) self.removeImageButton.setText("REMOVE IMAGE") self.imageButtonBoxLayout.addWidget(self.removeImageButton) self.mainLayout.addWidget(buttonBox) self.addImageButton.clicked.connect(self._addImageClicked) self.removeImageButton.clicked.connect(self._removeImageClicked) if replace: self.replaceImageButton = qt.QPushButton(buttonBox) self.replaceImageButton.setIcon(icon) self.replaceImageButton.setText("REPLACE IMAGE") self.imageButtonBoxLayout.addWidget(self.replaceImageButton) self.replaceImageButton.clicked.connect( \ self._replaceImageClicked) def _setEraseSelectionMode(self): if DEBUG: print("_setEraseSelectionMode") self.__eraseMode = True self.__brushMode = True self.graphWidget.graph.setDrawModeEnabled(False) def _setRectSelectionMode(self): if DEBUG: print("_setRectSelectionMode") self.__eraseMode = False self.__brushMode = False self.graphWidget.graph.setDrawModeEnabled(True, shape="rectangle", label="mask") def _setPolygonSelectionMode(self): self.__eraseMode = False self.__brushMode = False self.graphWidget.graph.setDrawModeEnabled(True, shape="polygon", label="mask") def _setBrushSelectionMode(self): if DEBUG: print("_setBrushSelectionMode") self.__eraseMode = False self.__brushMode = True self.graphWidget.graph.setDrawModeEnabled(False) def _setBrush(self): if DEBUG: print("_setBrush") if self.__brushMenu is None: self.__brushMenu = qt.QMenu() self.__brushMenu.addAction(QString(" 1 Image Pixel Width"), self.__setBrush1) self.__brushMenu.addAction(QString(" 2 Image Pixel Width"), self.__setBrush2) self.__brushMenu.addAction(QString(" 3 Image Pixel Width"), self.__setBrush3) self.__brushMenu.addAction(QString(" 5 Image Pixel Width"), self.__setBrush4) self.__brushMenu.addAction(QString("10 Image Pixel Width"), self.__setBrush5) self.__brushMenu.addAction(QString("20 Image Pixel Width"), self.__setBrush6) self.__brushMenu.exec_(self.cursor().pos()) def __setBrush1(self): self.__brushWidth = 1 def __setBrush2(self): self.__brushWidth = 2 def __setBrush3(self): self.__brushWidth = 3 def __setBrush4(self): self.__brushWidth = 5 def __setBrush5(self): self.__brushWidth = 10 def __setBrush6(self): self.__brushWidth = 20 def _toggleSelectionMode(self): drawMode = self.graphWidget.graph.getDrawMode() if drawMode is None: # we are not drawing anything if self.graphWidget.graph.isZoomModeEnabled(): # we have to pass to mask mode self.setSelectionMode(True) else: # we set zoom mode and show the line icons self.setSelectionMode(False) elif drawMode['label'] is not None: if drawMode['label'].startswith('mask'): #we set the zoom mode and show the line icons self.setSelectionMode(False) else: # we disable zoom and drawing and set mask mode self.setSelectionMode(True) elif drawMode['label'] in [None]: # we are not drawing anything if self.graphWidget.graph.isZoomModeEnabled(): # we have to pass to mask mode self.setSelectionMode(True) else: # we set zoom mode and show the line icons self.setSelectionMode(False) def setSelectionMode(self, mode=None): #does it have sense to enable the selection without the image selection icons? #if not self.__imageIconsFlag: # mode = False if mode: self.graphWidget.graph.setDrawModeEnabled(True, 'rectangle', label='mask') self.__brushMode = False self.graphWidget.hideProfileSelectionIcons() self.graphWidget.selectionToolButton.setChecked(True) self.graphWidget.selectionToolButton.setDown(True) self.graphWidget.showImageIcons() else: self.graphWidget.showProfileSelectionIcons() self.graphWidget.graph.setZoomModeEnabled(True) self.graphWidget.selectionToolButton.setChecked(False) self.graphWidget.selectionToolButton.setDown(False) self.graphWidget.hideImageIcons() if self.__imageData is None: return def _additionalSelectionMenuDialog(self): if self.__imageData is None: return self._additionalSelectionMenu.exec_(self.cursor().pos()) def _getSelectionMinMax(self): if self.colormap is None: goodData = self.__imageData[numpy.isfinite(self.__imageData)] maxValue = goodData.max() minValue = goodData.min() else: minValue = self.colormap[2] maxValue = self.colormap[3] return minValue, maxValue def _selectMax(self): selectionMask = numpy.zeros(self.__imageData.shape, numpy.uint8) minValue, maxValue = self._getSelectionMinMax() tmpData = numpy.array(self.__imageData, copy=True) tmpData[True - numpy.isfinite(self.__imageData)] = minValue selectionMask[tmpData >= maxValue] = 1 self.setSelectionMask(selectionMask, plot=False) self.plotImage(update=False) self._emitMaskChangedSignal() def _selectMiddle(self): selectionMask = numpy.ones(self.__imageData.shape, numpy.uint8) minValue, maxValue = self._getSelectionMinMax() tmpData = numpy.array(self.__imageData, copy=True) tmpData[True - numpy.isfinite(self.__imageData)] = maxValue selectionMask[tmpData >= maxValue] = 0 selectionMask[tmpData <= minValue] = 0 self.setSelectionMask(selectionMask, plot=False) self.plotImage(update=False) self._emitMaskChangedSignal() def _selectMin(self): selectionMask = numpy.zeros(self.__imageData.shape, numpy.uint8) minValue, maxValue = self._getSelectionMinMax() tmpData = numpy.array(self.__imageData, copy=True) tmpData[True - numpy.isfinite(self.__imageData)] = maxValue selectionMask[tmpData <= minValue] = 1 self.setSelectionMask(selectionMask, plot=False) self.plotImage(update=False) self._emitMaskChangedSignal() def _invertSelection(self): if self.__imageData is None: return mask = numpy.ones(self.__imageData.shape, numpy.uint8) if self.__selectionMask is not None: mask[self.__selectionMask > 0] = 0 self.setSelectionMask(mask, plot=True) self._emitMaskChangedSignal() def __resetSelection(self): # Needed because receiving directly in _resetSelection it was passing # False as argument self._resetSelection(True) def _resetSelection(self, owncall=True): if DEBUG: print("_resetSelection") self.__selectionMask = None if self.__imageData is None: return #self.__selectionMask = numpy.zeros(self.__imageData.shape, numpy.uint8) self.plotImage(update = True) #inform the others if owncall: ddict = {} ddict['event'] = "resetSelection" ddict['id'] = id(self) self.emitMaskImageSignal(ddict) def setSelectionMask(self, mask, plot=True): if mask is not None: if self.__imageData is not None: # this operation will be made when retrieving the mask #mask *= numpy.isfinite(self.__imageData) pass self.__selectionMask = mask if plot: self.plotImage(update=False) def getSelectionMask(self): if self.__imageData is None: return None if self.__selectionMask is None: return numpy.zeros(self.__imageData.shape, numpy.uint8) *\ numpy.isfinite(self.__imageData) return self.__selectionMask *\ numpy.isfinite(self.__imageData) def setImageData(self, data, clearmask=False, xScale=None, yScale=None): self.__image = None self._xScale = xScale self._yScale = yScale if data is None: self.__imageData = data self.__selectionMask = None self.plotImage(update = True) self.graphWidget._zoomReset(replot=True) return else: self.__imageData = data if clearmask: self.__selectionMask = None if self.colormapDialog is not None: goodData = self.__imageData[numpy.isfinite(self.__imageData)] minData = goodData.min() maxData = goodData.max() if self.colormapDialog.autoscale: self.colormapDialog.setDisplayedMinValue(minData) self.colormapDialog.setDisplayedMaxValue(maxData) self.colormapDialog.setDataMinMax(minData, maxData, update=True) else: self.plotImage(update = True) self.graphWidget._zoomReset(replot=True) def getImageData(self): return self.__imageData def getQImage(self): return self.__image def setQImage(self, qimage, width, height, clearmask=False, data=None): #This is just to get it different than None if (qimage.width() != width) or (qimage.height() != height): if 1 or (qimage.width() > width) or (qimage.height() > height): transformation = qt.Qt.SmoothTransformation else: transformation = qt.Qt.FastTransformation self.__image = qimage.scaled(qt.QSize(width, height), qt.Qt.IgnoreAspectRatio, transformation) else: self.__image = qimage if self.__image.format() == qt.QImage.Format_Indexed8: pixmap0 = numpy.fromstring(qimage.bits().asstring(width * height), dtype = numpy.uint8) pixmap = numpy.zeros((height * width, 4), numpy.uint8) pixmap[:,0] = pixmap0[:] pixmap[:,1] = pixmap0[:] pixmap[:,2] = pixmap0[:] pixmap[:,3] = 255 pixmap.shape = height, width, 4 else: self.__image = self.__image.convertToFormat(qt.QImage.Format_ARGB32) pixmap = numpy.fromstring(self.__image.bits().asstring(width * height * 4), dtype = numpy.uint8) pixmap.shape = height, width,-1 # Qt uses BGRA, convert to RGBA tmpBuffer = numpy.array(pixmap[:,:,0], copy=True, dtype=pixmap.dtype) pixmap[:,:,0] = pixmap[:,:,2] pixmap[:,:,2] = tmpBuffer if data is None: self.__imageData = numpy.zeros((height, width), numpy.float) self.__imageData = pixmap[:,:,0] * 0.299 +\ pixmap[:,:,1] * 0.587 +\ pixmap[:,:,2] * 0.114 else: self.__imageData = data self.__imageData.shape = height, width self._xScale = None self._yScale = None self.__pixmap0 = pixmap if clearmask: self.__selectionMask = None self.plotImage(update = True) self.graphWidget._zoomReset(replot=True) def plotImage(self, update=True): if self.__imageData is None: self.graphWidget.graph.clear() return if update: self.getPixmapFromData() self.__pixmap0 = self.__pixmap.copy() self.__applyMaskToImage() # replot=False as it triggers a zoom reset in Plot.py self.graphWidget.graph.addImage(self.__pixmap, "image", xScale=self._xScale, yScale=self._yScale, replot=False) self.graphWidget.graph.replot() self.updateProfileSelectionWindow() def getPixmapFromData(self): colormap = self.colormap if self.__image is not None: self.__pixmap = self.__pixmap0.copy() return if hasattr(self.__imageData, 'mask'): data = self.__imageData.data else: data = self.__imageData finiteData = numpy.isfinite(data) goodData = finiteData.min() if self.colormapDialog is not None: minData = self.colormapDialog.dataMin maxData = self.colormapDialog.dataMax else: if goodData: minData = data.min() maxData = data.max() else: tmpData = data[finiteData] if tmpData.size > 0: minData = tmpData.min() maxData = tmpData.max() else: minData = None maxData = None tmpData = None if colormap is None: if minData is None: (self.__pixmap,size,minmax)= spslut.transform(\ data, (1,0), (self.__defaultColormapType,3.0), "RGBX", self.__defaultColormap, 1, (0, 1), (0, 255), 1) else: (self.__pixmap,size,minmax)= spslut.transform(\ data, (1,0), (self.__defaultColormapType,3.0), "RGBX", self.__defaultColormap, 0, (minData,maxData), (0, 255), 1) else: if len(colormap) < 7: colormap.append(spslut.LINEAR) if goodData: (self.__pixmap,size,minmax)= spslut.transform(\ data, (1,0), (colormap[6],3.0), "RGBX", COLORMAPLIST[int(str(colormap[0]))], colormap[1], (colormap[2],colormap[3]), (0,255), 1) elif colormap[1]: #autoscale if minData is None: (self.__pixmap,size,minmax)= spslut.transform(\ data, (1,0), (self.__defaultColormapType,3.0), "RGBX", self.__defaultColormap, 1, (0, 1), (0, 255), 1) else: (self.__pixmap,size,minmax)= spslut.transform(\ data, (1,0), (colormap[6],3.0), "RGBX", COLORMAPLIST[int(str(colormap[0]))], 0, (minData,maxData), (0,255), 1) else: (self.__pixmap,size,minmax)= spslut.transform(\ data, (1,0), (colormap[6],3.0), "RGBX", COLORMAPLIST[int(str(colormap[0]))], colormap[1], (colormap[2],colormap[3]), (0,255), 1) self.__pixmap.shape = [data.shape[0], data.shape[1], 4] if not goodData: self.__pixmap[finiteData < 1] = 255 return self.__pixmap def getPixmap(self, original=True): if original: if self.__pixmap0 is None: return self.__pixmap else: return self.__pixmap0 else: # in this case also the mask may been applied return self.__pixmap def tagRoi(self, intValue): #get current ROI tag oldTag = self._roiTags[self._nRoi - 1] newTag = intValue if oldTag != newTag: self._roiTags[self._roiTags.index(intValue)] = oldTag self._roiTags[self._nRoi - 1] = newTag if self.__selectionMask is not None: mem0 = (self.__selectionMask == oldTag) mem1 = (self.__selectionMask == newTag) self.__selectionMask[mem0] = newTag self.__selectionMask[mem1] = oldTag self.plotImage(update=False) def setActiveRoiNumber(self, intValue): self._nRoi = intValue if 0: self.tagRoi(self._roiTags[intValue-1]) else: self.plotImage(update=False) def __applyMaskToImageOLD(self): """ Method kept for reference till the new one is fully tested """ if self.__selectionMask is None: return #if not self.__selectionFlag: # print("Return because of selection flag") # return if self._maxNRois < 2: alteration = (1 - (0.2 * self.__selectionMask)) else: alteration = (1 - (0.2 * (self.__selectionMask > 0))) - \ 0.1 * (self.__selectionMask == self._nRoi) if self.colormap is None: if self.__image is not None: if self.__image.format() == qt.QImage.Format_ARGB32: for i in range(4): self.__pixmap[:,:,i] = (self.__pixmap0[:,:,i] *\ alteration).astype(numpy.uint8) else: self.__pixmap = self.__pixmap0.copy() self.__pixmap[self.__selectionMask>0,0] = 0x40 self.__pixmap[self.__selectionMask>0,2] = 0x70 self.__pixmap[self.__selectionMask>0,3] = 0x40 else: if self.__defaultColormap > 1: for i in range(3): self.__pixmap[:,:,i] = (self.__pixmap0[:,:,i] *\ alteration) if 0: #this is to recolor non finite points tmpMask = numpy.isfinite(self.__imageData) goodData = numpy.isfinite(self.__imageData).min() if not goodData: for i in range(3): self.__pixmap[:,:,i] *= tmpMask else: self.__pixmap = self.__pixmap0.copy() self.__pixmap[self.__selectionMask>0,0] = 0x40 self.__pixmap[self.__selectionMask>0,2] = 0x70 self.__pixmap[self.__selectionMask>0,3] = 0x40 if 0: #this is to recolor non finite points tmpMask = ~numpy.isfinite(self.__imageData) badData = numpy.isfinite(self.__imageData).max() if badData: self.__pixmap[tmpMask,0] = 0x00 self.__pixmap[tmpMask,1] = 0xff self.__pixmap[tmpMask,2] = 0xff self.__pixmap[tmpMask,3] = 0xff elif int(str(self.colormap[0])) > 1: #color tmp = 1 - 0.2 * self.__selectionMask for i in range(3): self.__pixmap[:,:,i] = (self.__pixmap0[:,:,i] *\ tmp) if 0: tmpMask = numpy.isfinite(self.__imageData) goodData = numpy.isfinite(self.__imageData).min() if not goodData: if not goodData: for i in range(3): self.__pixmap[:,:,i] *= tmpMask else: self.__pixmap = self.__pixmap0.copy() tmp = 1 - self.__selectionMask self.__pixmap[:,:, 2] = (0x70 * self.__selectionMask) +\ tmp * self.__pixmap0[:,:,2] self.__pixmap[:,:, 3] = (0x40 * self.__selectionMask) +\ tmp * self.__pixmap0[:,:,3] if 0: tmpMask = ~numpy.isfinite(self.__imageData) badData = numpy.isfinite(self.__imageData).max() if badData: self.__pixmap[tmpMask,0] = 0x00 self.__pixmap[tmpMask,1] = 0xff self.__pixmap[tmpMask,2] = 0xff self.__pixmap[tmpMask,3] = 0xff return def __applyMaskToImage(self): if self.__selectionMask is None: return #if not self.__selectionFlag: # print("Return because of selection flag") # return if self._selectionColors is not None: self.__pixmap = self.__pixmap0.copy() for i in range(1, self._maxNRois + 1): color = self._selectionColors[i - 1].copy() self.__pixmap[self.__selectionMask == i] = color return if self._maxNRois < 2: alteration = (1 - (0.2 * self.__selectionMask)) else: alteration = (1 - (0.2 * (self.__selectionMask > 0))) - \ 0.1 * (self.__selectionMask == self._roiTags[self._nRoi - 1]) if self.colormap is None: if DEBUG: print("Colormap is None") if self.__image is not None: if self.__image.format() == qt.QImage.Format_ARGB32: if DEBUG: print("__applyMaskToImage CASE 1") for i in range(4): self.__pixmap[:,:,i] = (self.__pixmap0[:,:,i] *\ alteration).astype(numpy.uint8) else: if DEBUG: print("__applyMaskToImage CASE 2") self.__pixmap = self.__pixmap0.copy() tmp = self.__selectionMask > 0 self.__pixmap[tmp, 0] = 0x40 self.__pixmap[tmp, 2] = 0x70 self.__pixmap[tmp, 3] = 0x40 if self._maxNRois > 1: roiTag = (self.__selectionMask == self._roiTags[self._nRoi - 1]) self.__pixmap[roiTag, 0] = 2*0x40 self.__pixmap[roiTag, 2] = 2*0x70 self.__pixmap[roiTag, 3] = 2*0x40 else: if self.__defaultColormap > 1: if DEBUG: print("__applyMaskToImage CASE 3") self.__pixmap = self.__pixmap0.copy() for i in range(3): self.__pixmap[:,:,i] = (self.__pixmap0[:,:,i] *\ alteration) if 0: #this is to recolor non finite points tmpMask = numpy.isfinite(self.__imageData) goodData = numpy.isfinite(self.__imageData).min() if not goodData: for i in range(3): self.__pixmap[:,:,i] *= tmpMask else: if DEBUG: print("__applyMaskToImage CASE 4") self.__pixmap = self.__pixmap0.copy() self.__pixmap[self.__selectionMask>0,0] = 0x40 self.__pixmap[self.__selectionMask>0,2] = 0x70 self.__pixmap[self.__selectionMask>0,3] = 0x40 if self._maxNRois > 1: self.__pixmap[self.__selectionMask==self._nRoi,0] = 2*0x40 self.__pixmap[self.__selectionMask==self._nRoi,2] = 2*0x70 self.__pixmap[self.__selectionMask==self._nRoi,3] = 2*0x40 if 0: #this is to recolor non finite points tmpMask = ~numpy.isfinite(self.__imageData) badData = numpy.isfinite(self.__imageData).max() if badData: self.__pixmap[tmpMask,0] = 0x00 self.__pixmap[tmpMask,1] = 0xff self.__pixmap[tmpMask,2] = 0xff self.__pixmap[tmpMask,3] = 0xff elif int(str(self.colormap[0])) > 1: #color if DEBUG: print("__applyMaskToImage CASE 5") for i in range(3): self.__pixmap[:,:,i] = (self.__pixmap0[:,:,i] * alteration) if 0: tmpMask = numpy.isfinite(self.__imageData) goodData = numpy.isfinite(self.__imageData).min() if not goodData: if not goodData: for i in range(3): self.__pixmap[:,:,i] *= tmpMask elif self._maxNRois > 1: if DEBUG: print("__applyMaskToImage CASE 6") tmp = 1 - (self.__selectionMask>0) tmp2 = (self.__selectionMask == self._roiTags[self._nRoi - 1]) self.__pixmap[:, :, 2] = (0x70 * (self.__selectionMask>0) + \ 0x70 * tmp2) +\ tmp * self.__pixmap0[:,:,2] self.__pixmap[:,:, 3] = (0x40 * (self.__selectionMask>0) + 0x40 * tmp2) +\ tmp * self.__pixmap0[:,:,3] else: if DEBUG: print("__applyMaskToImage CASE 7") self.__pixmap = self.__pixmap0.copy() tmp = 1 - self.__selectionMask self.__pixmap[:, :, 2] = (0x70 * self.__selectionMask) +\ tmp * self.__pixmap0[:,:,2] self.__pixmap[:, :, 3] = (0x40 * self.__selectionMask) +\ tmp * self.__pixmap0[:,:,3] if 0: tmpMask = ~numpy.isfinite(self.__imageData) badData = numpy.isfinite(self.__imageData).max() if badData: self.__pixmap[tmpMask,0] = 0x00 self.__pixmap[tmpMask,1] = 0xff self.__pixmap[tmpMask,2] = 0xff self.__pixmap[tmpMask,3] = 0xff return def selectColormap(self): if self.__imageData is None: return if self.colormapDialog is None: self.__initColormapDialog() if self.colormapDialog is None: return if self.colormapDialog.isHidden(): self.colormapDialog.show() self.colormapDialog.raise_() self.colormapDialog.show() def __initColormapDialog(self): goodData = self.__imageData[numpy.isfinite(self.__imageData)] if goodData.size > 0: maxData = goodData.max() minData = goodData.min() else: qt.QMessageBox.critical(self,"No Data", "Image data does not contain any real value") return self.colormapDialog = ColormapDialog.ColormapDialog(self) self.colormapDialog.show() colormapIndex = self.__defaultColormap if colormapIndex == 1: colormapIndex = 0 elif colormapIndex == 6: colormapIndex = 1 self.colormapDialog.colormapIndex = colormapIndex self.colormapDialog.colormapString = self.colormapDialog.colormapList[colormapIndex] self.colormapDialog.setDataMinMax(minData, maxData) self.colormapDialog.setAutoscale(1) self.colormapDialog.setColormap(self.colormapDialog.colormapIndex) self.colormapDialog.setColormapType(self.__defaultColormapType, update=False) self.colormap = (self.colormapDialog.colormapIndex, self.colormapDialog.autoscale, self.colormapDialog.minValue, self.colormapDialog.maxValue, minData, maxData) self.colormapDialog.setWindowTitle("Colormap Dialog") self.colormapDialog.sigColormapChanged.connect(self.updateColormap) self.colormapDialog._update() def updateColormap(self, *var): if len(var) == 1: var = var[0] if len(var) > 6: self.colormap = [var[0], var[1], var[2], var[3], var[4], var[5], var[6]] elif len(var) > 5: self.colormap = [var[0], var[1], var[2], var[3], var[4], var[5]] else: self.colormap = [var[0], var[1], var[2], var[3], var[4], var[5]] self.plotImage(True) def _addImageClicked(self): ddict = {} ddict['event'] = "addImageClicked" ddict['image'] = self.__imageData ddict['title'] = self.getGraphTitle() ddict['id'] = id(self) self.emitMaskImageSignal(ddict) def _addAllImageClicked(self): ddict = {} ddict['event'] = "addAllClicked" ddict['image'] = self.__imageData ddict['title'] = self.getGraphTitle() ddict['id'] = id(self) self.emitMaskImageSignal(ddict) def _removeImageClicked(self): ddict = {} ddict['event'] = "removeImageClicked" ddict['title'] = self.getGraphTitle() ddict['id'] = id(self) self.emitMaskImageSignal(ddict) def _replaceImageClicked(self): ddict = {} ddict['event'] = "replaceImageClicked" ddict['image'] = self.__imageData ddict['title'] = self.getGraphTitle() ddict['id'] = id(self) self.emitMaskImageSignal(ddict) def _saveToolButtonSignal(self): self._saveMenu.exec_(self.cursor().pos()) def _saveMatplotlibImage(self): imageData = self.__imageData if self._matplotlibSaveImage is None: self._matplotlibSaveImage = QPyMcaMatplotlibSave.SaveImageSetup(None, image=None) title = "Matplotlib " + self.getGraphTitle() self._matplotlibSaveImage.setWindowTitle(title) ddict = self._matplotlibSaveImage.getParameters() if self.colormap is not None: colormapType = ddict['linlogcolormap'] try: colormapIndex, autoscale, vmin, vmax,\ dataMin, dataMax, colormapType = self.colormap if colormapType == spslut.LOG: colormapType = 'logarithmic' else: colormapType = 'linear' except: colormapIndex, autoscale, vmin, vmax = self.colormap[0:4] ddict['linlogcolormap'] = colormapType if not autoscale: ddict['valuemin'] = vmin ddict['valuemax'] = vmax else: ddict['valuemin'] = 0 ddict['valuemax'] = 0 #this sets the actual dimensions if self._xScale is not None: ddict['xorigin'] = self._xScale[0] ddict['xpixelsize'] = self._xScale[1] if self._yScale is not None: ddict['yorigin'] = self._yScale[0] ddict['ypixelsize'] = self._yScale[1] ddict['xlabel'] = self.getXLabel() ddict['ylabel'] = self.getYLabel() limits = self.graphWidget.graph.getGraphXLimits() ddict['zoomxmin'] = limits[0] ddict['zoomxmax'] = limits[1] limits = self.graphWidget.graph.getGraphYLimits() ddict['zoomymin'] = limits[0] ddict['zoomymax'] = limits[1] self._matplotlibSaveImage.setParameters(ddict) self._matplotlibSaveImage.setImageData(imageData) self._matplotlibSaveImage.show() self._matplotlibSaveImage.raise_() def _otherWidgetGraphSignal(self, ddict): self._graphSignal(ddict, ownsignal = False) def _handlePolygonMask(self, ddict): if self._xScale is None: self._xScale = [0, 1] if self._yScale is None: self._yScale = [0, 1] # this is when we have __imageData if self.__imageData is not None: imageShape = self.__imageData.shape elif self.__pixmap0 is not None: imageShape = self.__pixmap0.shape[0:2] else: print("Cannot handle polygon mask") return x = self._xScale[0] + self._xScale[1] * numpy.arange(imageShape[1]) y = self._yScale[0] + self._yScale[1] * numpy.arange(imageShape[0]) X, Y = numpy.meshgrid(x, y) X.shape = -1 Y.shape = -1 Z = numpy.zeros((imageShape[1]*imageShape[0], 2)) Z[:, 0] = X Z[:, 1] = Y X = None Y = None mask = pnpoly(ddict['points'][:-1], Z, 1) mask.shape = imageShape if self.__selectionMask is None: self.__selectionMask = mask else: self.__selectionMask[mask==1] = self._roiTags[self._nRoi - 1] self.plotImage(update = False) #inform the other widgets self._emitMaskChangedSignal() def _graphSignal(self, ddict, ownsignal = None): if ownsignal is None: ownsignal = True emitsignal = False if self.__imageData is None: if ddict['event'] == "drawingFinished": label = ddict['parameters']['label'] shape = ddict['parameters']['shape'] if shape == "polygon": return self._handlePolygonMask(ddict) return if ddict['event'] == "drawingFinished": # TODO: when drawing a shape, set a legend to it in order # to identify it. # In the mean time, assume nobody else is triggering drawing # and therefore only rectangle is supported as selection label = ddict['parameters']['label'] shape = ddict['parameters']['shape'] if label is None: #not this module business return elif not label.startswith('mask'): # is it a profile selection return elif shape == "polygon": return self._handlePolygonMask(ddict) else: # rectangle pass j1, i1 = convertToRowAndColumn(ddict['x'], ddict['y'], self.__imageData.shape, xScale=self._xScale, yScale=self._yScale, safe=True) w = ddict['width'] h = ddict['height'] j2, i2 = convertToRowAndColumn(ddict['x'] + w, ddict['y'] + h, self.__imageData.shape, xScale=self._xScale, yScale=self._yScale, safe=True) if i1 == i2: i2 += 1 elif (ddict['x'] + w) < self.__imageData.shape[1]: i2 += 1 if j1 == j2: j2 += 1 elif (ddict['y'] + h) < self.__imageData.shape[0]: j2 += 1 if self.__selectionMask is None: self.__selectionMask = numpy.zeros(self.__imageData.shape, numpy.uint8) if self.__eraseMode: self.__selectionMask[j1:j2, i1:i2] = 0 else: self.__selectionMask[j1:j2, i1:i2] = self._roiTags[self._nRoi - 1] emitsignal = True elif ddict['event'] in ["mouseMoved", "MouseAt", "mouseClicked"]: if ownsignal: pass if None in [ddict['x'], ddict['y']]: if DEBUG: print("Signal from outside region", ddict) return if self.graphWidget.infoWidget.isHidden() or self.__brushMode: row, column = convertToRowAndColumn(ddict['x'], ddict['y'], self.__imageData.shape, xScale=self._xScale, yScale=self._yScale, safe=True) halfWidth = 0.5 * self.__brushWidth #in (row, column) units halfHeight = 0.5 * self.__brushWidth #in (row, column) units shape = self.__imageData.shape columnMin = max(column - halfWidth, 0) columnMax = min(column + halfWidth, shape[1]) rowMin = max(row - halfHeight, 0) rowMax = min(row + halfHeight, shape[0]) rowMin = min(int(round(rowMin)), shape[0] - 1) rowMax = min(int(round(rowMax)), shape[0]) columnMin = min(int(round(columnMin)), shape[1] - 1) columnMax = min(int(round(columnMax)), shape[1]) if rowMin == rowMax: rowMax = rowMin + 1 elif (rowMax - rowMin) > self.__brushWidth: # python 3 implements banker's rounding # test case ddict['x'] = 23.3 gives: # i1 = 22 and i2 = 24 in python 3 # i1 = 23 and i2 = 24 in python 2 rowMin = rowMax - self.__brushWidth if columnMin == columnMax: columnMax = columnMin + 1 elif (columnMax - columnMin) > self.__brushWidth: # python 3 implements banker's rounding # test case ddict['x'] = 23.3 gives: # i1 = 22 and i2 = 24 in python 3 # i1 = 23 and i2 = 24 in python 2 columnMin = columnMax - self.__brushWidth #To show array coordinates: #x = self._xScale[0] + columnMin * self._xScale[1] #y = self._yScale[0] + rowMin * self._yScale[1] #self.setMouseText("%g, %g, %g" % (x, y, self.__imageData[rowMin, columnMin])) #To show row and column: #self.setMouseText("%g, %g, %g" % (row, column, self.__imageData[rowMin, columnMin])) #To show mouse coordinates: #self.setMouseText("%g, %g, %g" % (ddict['x'], ddict['y'], self.__imageData[rowMin, columnMin])) if self._xScale is not None: x = self._xScale[0] + column * self._xScale[1] y = self._yScale[0] + row * self._yScale[1] else: x = column y = row self.setMouseText("%g, %g, %g" % (x, y, self.__imageData[row, column])) if self.__brushMode: if self.graphWidget.graph.isZoomModeEnabled(): return if ddict['button'] != "left": return if self.__selectionMask is None: self.__selectionMask = numpy.zeros(self.__imageData.shape, numpy.uint8) if self.__eraseMode: self.__selectionMask[rowMin:rowMax, columnMin:columnMax] = 0 else: self.__selectionMask[rowMin:rowMax, columnMin:columnMax] = self._roiTags[self._nRoi - 1] emitsignal = True if emitsignal: #should this be made by the parent? self.plotImage(update = False) #inform the other widgets self._emitMaskChangedSignal() def _emitMaskChangedSignal(self): #inform the other widgets ddict = {} ddict['event'] = "selectionMaskChanged" ddict['current'] = self.__selectionMask * 1 ddict['id'] = id(self) self.emitMaskImageSignal(ddict) def emitMaskImageSignal(self, ddict): #qt.QObject.emit(self, # qt.SIGNAL('MaskImageWidgetSignal'), # ddict) self.sigMaskImageWidgetSignal.emit(ddict) def _zoomResetSignal(self): if DEBUG: print("_zoomResetSignal") self.graphWidget._zoomReset(replot=False) self.plotImage(True) def getOutputFileName(self): initdir = PyMcaDirs.outputDir if self.outputDir is not None: if os.path.exists(self.outputDir): initdir = self.outputDir filedialog = qt.QFileDialog(self) filedialog.setFileMode(filedialog.AnyFile) filedialog.setAcceptMode(qt.QFileDialog.AcceptSave) filedialog.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict["gioconda16"]))) formatlist = ["ASCII Files *.dat", "EDF Files *.edf", 'CSV(, separated) Files *.csv', 'CSV(; separated) Files *.csv', 'CSV(tab separated) Files *.csv'] if hasattr(qt, "QStringList"): strlist = qt.QStringList() else: strlist = [] for f in formatlist: strlist.append(f) if self._saveFilter is None: self._saveFilter =formatlist[0] if hasattr(filedialog, "setFilters"): filedialog.setFilters(strlist) filedialog.selectFilter(self._saveFilter) else: filedialog.setNameFilters(strlist) filedialog.selectNameFilter(self._saveFilter) filedialog.setDirectory(initdir) ret = filedialog.exec_() if not ret: return "" filename = filedialog.selectedFiles()[0] if len(filename): filename = qt.safe_str(filename) self.outputDir = os.path.dirname(filename) if hasattr(filedialog, "selectedFilter"): self._saveFilter = qt.safe_str(filedialog.selectedFilter()) else: self._saveFilter = qt.safe_str(filedialog.selectedNameFilter()) filterused = "."+self._saveFilter[-3:] PyMcaDirs.outputDir = os.path.dirname(filename) if len(filename) < 4: filename = filename+ filterused elif filename[-4:] != filterused : filename = filename+ filterused else: filename = "" return filename def saveImageList(self, filename=None, imagelist=None, labels=None): imageList = [] if labels is None: labels = [] if imagelist is None: if self.__imageData is not None: imageList.append(self.__imageData) label = self.getGraphTitle() label.replace(' ', '_') labels.append(label) if self.__selectionMask is not None: if self.__selectionMask.max() > 0: imageList.append(self.__selectionMask) labels.append(label+"_Mask") else: imageList = imagelist if len(labels) == 0: for i in range(len(imagelist)): labels.append("Image%02d" % i) if not len(imageList): qt.QMessageBox.information(self,"No Data", "Image list is empty.\nNothing to be saved") return if filename is None: filename = self.getOutputFileName() if not len(filename):return if filename.lower().endswith(".edf"): ArraySave.save2DArrayListAsEDF(imageList, filename, labels) elif filename.lower().endswith(".csv"): if "," in self._saveFilter: csvseparator = "," elif ";" in self._saveFilter: csvseparator = ";" else: csvseparator = "\t" ArraySave.save2DArrayListAsASCII(imageList, filename, labels, csv=True, csvseparator=csvseparator) else: ArraySave.save2DArrayListAsASCII(imageList, filename, labels, csv=False) def saveClippedSeenImageList(self): return self.saveClippedAndSubtractedSeenImageList(subtract=False) def saveClippedAndSubtractedSeenImageList(self, subtract=True): imageData = self.__imageData if imageData is None: return vmin = None label = self.getGraphTitle() if not len(label): label = "Image01" if self.colormap is not None: colormapIndex, autoscale, vmin, vmax = self.colormap[0:4] if not autoscale: imageData = imageData.clip(vmin, vmax) label += ".clip(%f,%f)" % (vmin, vmax) if subtract: if vmin is None: vmin = imageData.min() imageData = imageData-vmin label += "-%f" % vmin imageList = [imageData] labelList = [label] if self.__selectionMask is not None: if self.__selectionMask.max() > 0: imageList.append(self.__selectionMask) labelList.append(label+"_Mask") self.saveImageList(filename=None, imagelist=imageList, labels=labelList) def setDefaultColormap(self, colormapindex, logflag=False): self.__defaultColormap = COLORMAPLIST[min(colormapindex, len(COLORMAPLIST)-1)] if logflag: self.__defaultColormapType = spslut.LOG else: self.__defaultColormapType = spslut.LINEAR def closeEvent(self, event): if self._profileSelectionWindow is not None: self._profileSelectionWindow.close() if self.colormapDialog is not None: self.colormapDialog.close() return qt.QWidget.closeEvent(self, event) def setInfoText(self, text): return self.graphWidget.setInfoText(text) def setMouseText(self, text=""): return self.graphWidget.setMouseText(text) class MaskImageDialog(qt.QDialog): def __init__(self, parent=None, image=None, mask=None): super(MaskImageDialog, self).__init__(parent) layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) self.maskWidget = MaskImageWidget(self, aspect=True) buttonBox = qt.QWidget(self) buttonBoxLayout = qt.QHBoxLayout(buttonBox) buttonBoxLayout.setContentsMargins(0, 0, 0, 0) buttonBoxLayout.setSpacing(0) self.okButton = qt.QPushButton(buttonBox) self.okButton.setText("OK") self.okButton.setAutoDefault(False) self.cancelButton = qt.QPushButton(buttonBox) self.cancelButton.setText("Cancel") self.cancelButton.setAutoDefault(False) self.okButton.clicked.connect(self.accept) self.cancelButton.clicked.connect(self.reject) #buttonBoxLayout.addWidget(qt.HorizontalSpacer(self)) buttonBoxLayout.addWidget(self.okButton) buttonBoxLayout.addWidget(self.cancelButton) #buttonBoxLayout.addWidget(qt.HorizontalSpacer(self)) layout.addWidget(self.maskWidget) layout.addWidget(buttonBox) self.setImage = self.maskWidget.setImageData self.setMask = self.maskWidget.setSelectionMask self.getMask = self.maskWidget.getSelectionMask if image is not None: self.setImage(image) if mask is not None: self.setMask(mask) def getImageMask(image, mask=None): """ Functional interface to interactively define a mask """ w = MaskImageDialog(image=image, mask=mask) ret = w.exec_() if ret: mask = w.getMask() w = None del(w) return mask def test(filename=None, backend=None): app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) if filename: container = MaskImageWidget(backend=backend, selection=True, aspect=True, imageicons=True, profileselection=True, maxNRois=2) if filename.endswith('edf') or\ filename.endswith('cbf') or\ filename.endswith('ccd') or\ filename.endswith('spe') or\ filename.endswith('tif') or\ filename.endswith('tiff'): from PyMca5.PyMcaIO import EdfFile edf = EdfFile.EdfFile(sys.argv[1]) data = edf.GetData(0) container.setImageData(data) else: image = qt.QImage(filename) #container.setQImage(image, image.width(),image.height()) container.setQImage(image, 200, 200) else: container = MaskImageWidget(backend=backend, aspect=True, profileselection=True, maxNRois=2) # show how to use user specified colors for the mask # without using any blitting (for the time being) # in the future it could be made using the alpha channel if 0: colors = numpy.zeros((2, 4), dtype=numpy.uint8) colors[0,0] = 255 colors[0,1] = 0 colors[0,2] = 0 colors[0,3] = 255 colors[1,0] = 0 colors[1,1] = 0 colors[1,2] = 255 colors[1,3] = 255 container.setSelectionColors(colors) data = numpy.arange(400 * 400).astype(numpy.int32) data.shape = 200, 800 #data = numpy.eye(200) container.setImageData(data, xScale=(1000.0, 1.0), yScale=(1000., 1.)) mask = (data*0).astype(numpy.uint8) n, m = data.shape mask[ n/4:n/4+n/8, m/4:m/4+m/8] = 1 mask[ 3*n/4:3*n/4+n/8, m/4:m/4+m/8] = 2 container.setSelectionMask(mask, plot=True) #data.shape = 100, 400 #container.setImageData(None) #container.setImageData(data) container.show() def theSlot(ddict): print(ddict['event']) container.sigMaskImageWidgetSignal.connect(theSlot) app.exec_() print(container.getSelectionMask()) if __name__ == "__main__": import argparse parser = argparse.ArgumentParser( description='PyMca image mask authoring tool.') parser.add_argument( '-b', '--backend', choices=('mpl', 'opengl'), help="""The plot backend to use: Matplotlib (mpl, the default), OpenGL 2.1 (opengl, requires appropriate OpenGL drivers).""") parser.add_argument('filename', default='', nargs='?', help='Image filename to open') args = parser.parse_args() test(args.filename, args.backend) PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/Q4PyMcaPrintPreview.py0000644000276300001750000007402213136054446023521 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os from PyMca5.PyMcaGui import PyMcaQt as qt DEBUG = 0 __revision__="$Revision: 1.7 $" # TODO: # - automatic picture centering # - print quality QTVERSION = qt.qVersion() ################################################################################ ################## PyMcaPrintPreview ################### ################################################################################ class PyMcaPrintPreview(qt.QDialog): def __init__(self, parent = None, printer = None, name = "PyMcaPrintPreview", \ modal = 0, fl = 0): qt.QDialog.__init__(self, parent) self.setWindowTitle(name) self.setModal(modal) self.resize(400, 500) self.printDialog = None self._toBeCleared = False self._svgItems = [] self.printer = printer """ if printer is None: printer = qt.QPrinter(qt.QPrinter.HighResolution) printer.setPageSize(qt.QPrinter.A4) printerName = "%s" % printer.printerName() if printerName in ['id24b2u']: #id24 printer very slow in color mode printer.setColorMode(qt.QPrinter.GrayScale) printer.setFullPage(True) if (printer.width() <= 0) or (printer.height() <= 0): if QTVERSION < '4.2.0': #this is impossible (no QGraphicsView) filename = "PyMCA_print.pdf" else: filename = "PyMCA_print.ps" if sys.platform == 'win32': home = os.getenv('USERPROFILE') try: l = len(home) directory = os.path.join(home,"My Documents") except: home = '\\' directory = '\\' if os.path.isdir('%s' % directory): directory = os.path.join(directory,"PyMca") else: directory = os.path.join(home,"PyMca") if not os.path.exists('%s' % directory): os.mkdir('%s' % directory) finalfile = os.path.join(directory, filename) else: home = os.getenv('HOME') directory = os.path.join(home,"PyMca") if not os.path.exists('%s' % directory): os.mkdir('%s' % directory) finalfile = os.path.join(directory, filename) printer.setOutputFileName(finalfile) printer.setColorMode(qt.QPrinter.Color) """ self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self._buildToolbar() self.scene = None self.page = None self.view = None self._viewScale = 1.0 self.badNews = None def exec_(self): if self._toBeCleared: self.__clearAll() return qt.QDialog.exec_(self) def raise_(self): if self._toBeCleared: self.__clearAll() return qt.QDialog.raise_(self) def show(self): if self._toBeCleared: self.__clearAll() return qt.QDialog.show(self) def setOutputFileName(self, name): if self.printer is not None: self.printer.setOutputFileName(name) else: raise IOError("setOutputFileName : a printer must be defined before") def _buildToolbar(self): # --- command buttons # buttonSize = 65 toolBar = qt.QWidget(self) # a layout for the toolbar toolsLayout = qt.QHBoxLayout(toolBar) toolsLayout.setContentsMargins(0, 0, 0, 0) toolsLayout.setSpacing(0) # Margin # marginLabel = qt.QLabel("Margins:", toolBar) # if QTVERSION < '4.0.0': # self.marginSpin = qt.QSpinBox(0, 50, 10, toolBar) # else: # self.marginSpin = qt.QSpinBox(toolBar) # self.marginSpin.setRange(0, 50) # self.marginSpin.setSingleStep(10) # self.marginSpin.valueChanged[int].connect( \ # self.__marginChanged) # Scale / Zoom # scaleLabel = qt.QLabel("Zoom:", toolBar) # scaleCombo = qt.QComboBox(toolBar) # self.scaleValues = [20, 40, 60, 80, 100, 150, 200] # # for scale in self.scaleValues: # scaleCombo.addItem("%3d %%"%scale) # # self.scaleCombo = scaleCombo # self.scaleCombo.activated[int].connect(self.__scaleChanged) hideBut = qt.QPushButton("Hide", toolBar) #hideBut.setFixedWidth(buttonSize-10) hideBut.clicked.connect(self.hide) cancelBut = qt.QPushButton("Clear All", toolBar) #cancelBut.setFixedWidth(buttonSize+10) cancelBut.clicked.connect(self.__clearAll) removeBut = qt.QPushButton("Remove", toolBar) #removeBut.setFixedWidth(buttonSize) removeBut.clicked.connect(self.__remove) setupBut = qt.QPushButton("Setup", toolBar) #setupBut.setFixedWidth(buttonSize-5) setupBut.clicked.connect(self.setup) printBut = qt.QPushButton("Print", toolBar) #printBut.setFixedWidth(buttonSize-5) printBut.clicked.connect(self.__print) zoomPlusBut = qt.QPushButton("Zoom +", toolBar) #zoomPlusBut.setFixedWidth(buttonSize-5) zoomPlusBut.clicked.connect(self.__zoomPlus) zoomMinusBut = qt.QPushButton("Zoom -", toolBar) #zoomMinusBut.setFixedWidth(buttonSize-5) zoomMinusBut.clicked.connect(self.__zoomMinus) # now we put widgets in the toolLayout toolsLayout.addWidget(hideBut) toolsLayout.addWidget(printBut) toolsLayout.addWidget(cancelBut) toolsLayout.addWidget(removeBut) toolsLayout.addWidget(setupBut) #toolsLayout.addStretch() #toolsLayout.addWidget(marginLabel) #toolsLayout.addWidget(self.marginSpin) toolsLayout.addStretch() #toolsLayout.addWidget(scaleLabel) #toolsLayout.addWidget(scaleCombo) toolsLayout.addWidget(zoomPlusBut) toolsLayout.addWidget(zoomMinusBut) #toolsLayout.addStretch() self.toolBar = toolBar self.mainLayout.addWidget(self.toolBar) def _buildStatusBar(self): # status bar statusBar = qt.QStatusBar(self) self.targetLabel = qt.QLabel(statusBar) self.__updateTargetLabel() statusBar.addWidget(self.targetLabel) self.mainLayout.addWidget(statusBar) def __updateTargetLabel(self): if self.printer is None: self.targetLabel.setText("???") return if hasattr(qt, "QString"): if len(self.printer.outputFileName()): self.targetLabel.setText(qt.QString("File:").append( self.printer.outputFileName())) else: self.targetLabel.setText(qt.QString("Printer:").append( self.printer.printerName())) else: if len(self.printer.outputFileName()): self.targetLabel.setText("File:"+\ self.printer.outputFileName()) else: self.targetLabel.setText("Printer:"+\ self.printer.printerName()) def __print(self): printer = self.printer painter = qt.QPainter() try: if not(painter.begin(printer)): print("CANOT INITIALIZE PRINTER") return 0 self.scene.render(painter, qt.QRectF(0, 0, printer.width(), printer.height()), qt.QRectF(self.page.rect().x(), self.page.rect().y(), self.page.rect().width(),self.page.rect().height()), qt.Qt.KeepAspectRatio) painter.end() self.hide() self.accept() self._toBeCleared = True except: painter.end() qt.QMessageBox.critical(self, "ERROR", 'Printing problem:\n %s' % sys.exc_info()[1]) return def __scaleChanged(self, value): if DEBUG: print("current scale = ", self._viewScale) if value > 2: self.view.scale(1.20, 1.20) else: self.view.scale(0.80, 0.80) def __zoomPlus(self): if DEBUG: print("current scale = ", self._viewScale) self._viewScale *= 1.20 self.view.scale(1.20, 1.20) def __zoomMinus(self): if DEBUG: print("current scale = ", self._viewScale) self._viewScale *= 0.80 self.view.scale(0.80, 0.80) def addImage(self, image, title = None, comment = None, commentPosition=None): """ add an image item to the print preview scene """ self.addPixmap(qt.QPixmap.fromImage(image), title = title, comment = comment, commentPosition=commentPosition) def addPixmap(self, pixmap, title = None, comment = None, commentPosition=None): """ add a pixmap to the print preview scene """ if self._toBeCleared: self.__clearAll() if self.printer is None: self.setup() if title is None: title = ' ' title += ' ' if comment is None: comment = ' ' comment += ' ' if commentPosition is None: commentPosition = "CENTER" if self.badNews: return if QTVERSION < "5.0": rectItem = qt.QGraphicsRectItem(self.page, self.scene) else: rectItem = qt.QGraphicsRectItem(self.page) scale = 1.0 # float(0.5 * self.scene.width()/pixmap.width()) rectItem.setRect(qt.QRectF(1, 1, pixmap.width(), pixmap.height())) pen = rectItem.pen() color = qt.QColor(qt.Qt.red) color.setAlpha(1) pen.setColor(color) rectItem.setPen(pen) rectItem.setZValue(1) rectItem.setFlag(qt.QGraphicsItem.ItemIsSelectable, True) rectItem.setFlag(qt.QGraphicsItem.ItemIsMovable, True) rectItem.setFlag(qt.QGraphicsItem.ItemIsFocusable, False) #I add the resize tool rectItemResizeRect = GraphicsResizeRectItem(rectItem, self.scene) rectItemResizeRect.setZValue(2) #I add a pixmap item if QTVERSION < "5.0": pixmapItem = qt.QGraphicsPixmapItem(rectItem, self.scene) else: pixmapItem = qt.QGraphicsPixmapItem(rectItem) pixmapItem.setPixmap(pixmap) #pixmapItem.moveBy(0, 0) pixmapItem.setZValue(0) #I add the title if QTVERSION < "5.0": textItem = qt.QGraphicsTextItem(title, rectItem, self.scene) else: textItem = qt.QGraphicsTextItem(title, rectItem) textItem.setTextInteractionFlags(qt.Qt.TextEditorInteraction) offset = 0.5 * textItem.boundingRect().width() textItem.moveBy(0.5 * pixmap.width() - offset, -20) textItem.setZValue(2) #I add the comment if QTVERSION < "5.0": commentItem = qt.QGraphicsTextItem(comment, rectItem, self.scene) else: commentItem = qt.QGraphicsTextItem(comment, rectItem) commentItem.setTextInteractionFlags(qt.Qt.TextEditorInteraction) offset = 0.5 * commentItem.boundingRect().width() if commentPosition.upper() == "LEFT": x = 1 else: x = 0.5 * pixmap.width() - offset commentItem.moveBy(x, pixmap.height()+20) commentItem.setZValue(2) #I should adjust text size here #textItem.scale(2,2) #commentItem.scale(2,2) if QTVERSION < "5.0": rectItem.scale(scale, scale) else: # the correct equivalent would be: # rectItem.setTransform(qt.QTransform.fromScale(scalex, scaley)) rectItem.setScale(scale) rectItem.moveBy(20 , 40) def isReady(self): if self.badNews: return False else: return True def addSvgItem(self, item, title = None, comment = None, commentPosition=None): if self._toBeCleared: self.__clearAll() if self.printer is None: self.setup() if self.badNews: # printer not properly initialized return if not isinstance(item, qt.QSvgRenderer): raise TypeError("addSvgItem: QSvgRenderer expected") if title is None: title = 50 * ' ' if comment is None: comment = 80 * ' ' if commentPosition is None: commentPosition = "CENTER" if 0 and hasattr(item, "_viewBox"): svgItem = GraphicsSvgItem(self.page) svgItem.setSharedRenderer(item) svgItem.setBoundingRect(item._viewBox) elif 1: svgItem = GraphicsSvgRectItem(item._viewBox, self.page) svgItem.setSvgRenderer(item) else: svgItem = qt.QGraphicsSvgItem(self.page) svgItem.setSharedRenderer(item) if hasattr(item, "_viewBox"): svgScaleX = item._viewBox.width()/svgItem.boundingRect().width() svgScaleY = item._viewBox.height()/svgItem.boundingRect().height() svgItem.scale(svgScaleX, svgScaleY) svgItem.setCacheMode(qt.QGraphicsItem.NoCache) svgItem.setZValue(0) svgItem.setFlag(qt.QGraphicsItem.ItemIsSelectable, True) svgItem.setFlag(qt.QGraphicsItem.ItemIsMovable, True) svgItem.setFlag(qt.QGraphicsItem.ItemIsFocusable, False) #I add the resize tool rectItemResizeRect = GraphicsResizeRectItem(svgItem, self.scene) rectItemResizeRect.setZValue(2) #make sure the life time of the item is enough to print it! self._svgItems.append(item) #I add the title if QTVERSION < '5.0': textItem = qt.QGraphicsTextItem(title, svgItem, self.scene) else: textItem = qt.QGraphicsTextItem(title, svgItem) textItem.setTextInteractionFlags(qt.Qt.TextEditorInteraction) offset = 0.5 * textItem.boundingRect().width() textItem.setZValue(1) textItem.setFlag(qt.QGraphicsItem.ItemIsMovable, True) #I add the comment dummyComment = 80 * "1" if QTVERSION < '5.0': commentItem = qt.QGraphicsTextItem(dummyComment, svgItem, self.scene) else: commentItem = qt.QGraphicsTextItem(dummyComment, svgItem) commentItem.setTextInteractionFlags(qt.Qt.TextEditorInteraction) scaleCalculationRect = qt.QRectF(commentItem.boundingRect()) commentItem.setPlainText(comment) commentItem.moveBy(svgItem.boundingRect().x(), svgItem.boundingRect().y() + svgItem.boundingRect().height()) commentItem.setZValue(1) scale = svgItem.boundingRect().width() / scaleCalculationRect.width() commentItem.setFlag(qt.QGraphicsItem.ItemIsMovable, True) if QTVERSION < "5.0": commentItem.scale(scale, scale) else: # the correct equivalent would be: # rectItem.setTransform(qt.QTransform.fromScale(scalex, scaley)) commentItem.setScale(scale) textItem.moveBy(svgItem.boundingRect().x()+\ 0.5 * svgItem.boundingRect().width() - offset * scale, svgItem.boundingRect().y()) if QTVERSION < "5.0": textItem.scale(scale, scale) else: # the correct equivalent would be: # rectItem.setTransform(qt.QTransform.fromScale(scalex, scaley)) textItem.setScale(scale) def setup(self): """ """ if self.printer is None: self.printer = qt.QPrinter() if (self.printDialog is None) or (not self.isReady()): self.printDialog = qt.QPrintDialog(self.printer, self) if self.printDialog.exec_(): if (self.printer.width() <= 0) or (self.printer.height() <= 0): self.message = qt.QMessageBox(self) self.message.setIcon(qt.QMessageBox.Critical) self.message.setText("Unknown library error \non printer initialization") self.message.setWindowTitle("Library Error") self.message.setModal(0) self.badNews = True self.printer = None return self.badNews = False self.printer.setFullPage(True) self.updatePrinter() else: if self.page is None: # not initialized self.badNews = True self.printer = None else: self.badNews = False def updatePrinter(self): if DEBUG: print("UPDATE PRINTER") printer = self.printer if self.scene is None: self.scene = qt.QGraphicsScene() self.scene.setBackgroundBrush(qt.QColor(qt.Qt.lightGray)) self.scene.setSceneRect(qt.QRectF(0,0, printer.width(), printer.height())) if self.page is None: self.page = qt.QGraphicsRectItem(0,0, printer.width(), printer.height()) self.page.setBrush(qt.QColor(qt.Qt.white)) self.scene.addItem(self.page) self.scene.setSceneRect(qt.QRectF(0,0, self.printer.width(), self.printer.height())) self.page.setPos(qt.QPointF(0.0, 0.0)) self.page.setRect(qt.QRectF(0,0, self.printer.width(), self.printer.height())) if self.view is None: self.view = qt.QGraphicsView(self.scene) self.mainLayout.addWidget(self.view) self._buildStatusBar() self.view.fitInView(self.page.rect(), qt.Qt.KeepAspectRatio) self._viewScale = 1.00 #self.view.scale(1./self._viewScale, 1./self._viewScale) #self.view.fitInView(self.page.rect(), qt.Qt.KeepAspectRatio) #self._viewScale = 1.00 self.__updateTargetLabel() def __cancel(self): """ """ self.reject() def __clearAll(self): """ Clear the print preview window, remove all items but and keep the page. """ itemlist = self.scene.items() keep = self.page while (len(itemlist) != 1): if itemlist.index(keep) == 0: self.scene.removeItem(itemlist[1]) else: self.scene.removeItem(itemlist[0]) itemlist = self.scene.items() self._svgItems = [] self._toBeCleared = False def __remove(self): """ """ itemlist = self.scene.items() i = None #this loop is not efficient if there are many items ... for item in itemlist: if item.isSelected(): i = itemlist.index(item) break if i is not None: self.scene.removeItem(item) #this line is not really needed because the list #should be deleted at the end of the method del itemlist[i] if hasattr(qt, 'QGraphicsSvgItem'): class GraphicsSvgItem(qt.QGraphicsSvgItem): def setBoundingRect(self, rect): self._rect = rect def boundingRect(self): return self._rect def paint(self, painter, *var, **kw): if not self.renderer().isValid(): print("Invalid renderer") return if self.elementId().isEmpty(): self.renderer().render(painter, self._rect) else: self.renderer().render(painter, self.elementId(), self._rect) class GraphicsSvgRectItem(qt.QGraphicsRectItem): def setSvgRenderer(self, renderer): self._renderer = renderer def paint(self, painter, *var, **kw): #self._renderer.render(painter, self._renderer._viewBox) self._renderer.render(painter, self.boundingRect()) class GraphicsResizeRectItem(qt.QGraphicsRectItem): def __init__(self, parent = None, scene = None, keepratio = True): if QTVERSION < '5.0': qt.QGraphicsRectItem.__init__(self, parent, scene) else: qt.QGraphicsRectItem.__init__(self, parent) #rect = parent.sceneBoundingRect() rect = parent.boundingRect() x = rect.x() y = rect.y() w = rect.width() h = rect.height() self._newRect = None self.keepRatio = keepratio self.setRect(qt.QRectF(x + w - 40, y + h - 40, 40, 40)) self.setAcceptHoverEvents(True) if DEBUG: self.setBrush(qt.QBrush(qt.Qt.white, qt.Qt.SolidPattern)) else: pen = qt.QPen() color = qt.QColor(qt.Qt.white) color.setAlpha(0) pen.setColor(color) pen.setStyle(qt.Qt.NoPen) self.setPen(pen) self.setBrush(color) self.setFlag(self.ItemIsMovable, True) self.show() def hoverEnterEvent(self, event): if self.parentItem().isSelected(): self.parentItem().setSelected(False) if self.keepRatio: self.setCursor(qt.QCursor(qt.Qt.SizeFDiagCursor)) else: self.setCursor(qt.QCursor(qt.Qt.SizeAllCursor)) self.setBrush(qt.QBrush(qt.Qt.yellow, qt.Qt.SolidPattern)) return qt.QGraphicsRectItem.hoverEnterEvent(self, event) def hoverLeaveEvent(self, event): self.setCursor(qt.QCursor(qt.Qt.ArrowCursor)) pen = qt.QPen() color = qt.QColor(qt.Qt.white) color.setAlpha(0) pen.setColor(color) pen.setStyle(qt.Qt.NoPen) self.setPen(pen) self.setBrush(color) return qt.QGraphicsRectItem.hoverLeaveEvent(self, event) def mouseDoubleClickEvent(self, event): if DEBUG: print("ResizeRect mouseDoubleClick") def mousePressEvent(self, event): if DEBUG: print("ResizeRect mousePress") if self._newRect is not None: self._newRect = None self.__point0 = self.pos() parent = self.parentItem() scene = self.scene() scene.clearSelection() rect = parent.rect() self._x = rect.x() self._y = rect.y() self._w = rect.width() self._h = rect.height() self._ratio = self._w /self._h if QTVERSION < "5.0": self._newRect = qt.QGraphicsRectItem(parent, scene) else: self._newRect = qt.QGraphicsRectItem(parent) self._newRect.setRect(qt.QRectF(self._x, self._y, self._w, self._h)) qt.QGraphicsRectItem.mousePressEvent(self, event) def mouseMoveEvent(self, event): if DEBUG: print("ResizeRect mouseMove") point1 = self.pos() deltax = point1.x() - self.__point0.x() deltay = point1.y() - self.__point0.y() if self.keepRatio: r1 = (self._w + deltax) / self._w r2 = (self._h + deltay) / self._h if r1 < r2: self._newRect.setRect(qt.QRectF(self._x, self._y, self._w + deltax, (self._w + deltax)/self._ratio)) else: self._newRect.setRect(qt.QRectF(self._x, self._y, (self._h + deltay)* self._ratio, self._h + deltay)) else: self._newRect.setRect(qt.QRectF(self._x, self._y, self._w + deltax, self._h + deltay)) qt.QGraphicsRectItem.mouseMoveEvent(self, event) def mouseReleaseEvent(self, event): if DEBUG: print("ResizeRect mouseRelease") point1 = self.pos() deltax = point1.x() - self.__point0.x() deltay = point1.y() - self.__point0.y() self.moveBy(-deltax, -deltay) parent = self.parentItem() if 0: #this works if no zoom at the viewport rect = parent.sceneBoundingRect() w = rect.width() h = rect.height() scalex = (w + deltax) / w scaley = (h + deltay) / h if self.keepRatio: scalex = min(scalex, scalex) parent.scale(scalex, scalex) else: parent.scale(scalex, scaley) else: #deduce it from the rect because it always work if (QTVERSION < "5.0") or self.keepRatio: scalex = self._newRect.rect().width()/ self._w scaley = scalex else: scalex = self._newRect.rect().width()/ self._w scaley = self._newRect.rect().height()/self._h if QTVERSION < "5.0": parent.scale(scalex, scaley) else: # the correct equivalent would be: # rectItem.setTransform(qt.QTransform.fromScale(scalex, scaley)) parent.setScale(scalex) self.scene().removeItem(self._newRect) self._newRect = None qt.QGraphicsRectItem.mouseReleaseEvent(self, event) ################################################################################ ##################### TEST -- PyMcaPrintPreview -- TEST ################## ################################################################################ def testPreview(): """ """ import sys import os if len(sys.argv) < 2: print("give an image file as parameter please.") sys.exit(1) if len(sys.argv) > 2: print("only one parameter please.") sys.exit(1) filename = sys.argv[1] if filename[-3:] == "svg": if 0: item = qt.QSvgWidget() item.load(filename) item.show() else: w = PyMcaPrintPreview( parent = None, printer = None, name = 'Print Prev', modal = 0, fl = 0) w.resize(400,500) item = qt.QGraphicsSvgItem(filename, w.page) item.setFlag(qt.QGraphicsItem.ItemIsMovable, True) item.setCacheMode(qt.QGraphicsItem.NoCache) sys.exit(w.exec_()) w = PyMcaPrintPreview( parent = None, modal=0) # we need to initialize a printer to get a proper page w.setup() w.resize(400,500) comment = "" for i in range(20): comment += "Line number %d: En un lugar de La Mancha de cuyo nombre ...\n" w.addPixmap(qt.QPixmap.fromImage(qt.QImage(filename)), title=filename, comment=comment, commentPosition="CENTER") w.addImage(qt.QImage(filename), comment=comment, commentPosition="LEFT") #w.addImage(qt.QImage(filename)) w.exec_() def testSimple(): import sys import os filename = sys.argv[1] w = qt.QWidget() l = qt.QVBoxLayout(w) button = qt.QPushButton(w) button.setText("Print") scene = qt.QGraphicsScene() pixmapItem = qt.QGraphicsPixmapItem(qt.QPixmap.fromImage(qt.QImage(filename))) pixmapItem.setFlag(pixmapItem.ItemIsMovable, True) printer = qt.QPrinter(qt.QPrinter.HighResolution) printer.setFullPage(True) printer.setOutputFileName(os.path.splitext(filename)[0]+".ps") page = qt.QGraphicsRectItem(0,0, printer.width(), printer.height()) scene.setSceneRect(qt.QRectF(0,0, printer.width(), printer.height())) scene.addItem(page) scene.addItem(pixmapItem) view = qt.QGraphicsView(scene) view.fitInView(page.rect(), qt.Qt.KeepAspectRatio) #view.setSceneRect( view.scale(2, 2) #page.scale(0.05, 0.05) def printFile(): painter = qt.QPainter(printer) scene.render(painter, qt.QRectF(0, 0, printer.width(), printer.height()), qt.QRectF(page.rect().x(), page.rect().y(), page.rect().width(),page.rect().height()), qt.Qt.KeepAspectRatio) painter.end() l.addWidget(button) l.addWidget(view) w.resize(300, 600) w.show() button.clicked.connect(printFile) ## MAIN if __name__ == '__main__': a = qt.QApplication(sys.argv) testPreview() # a.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/SilxMaskImageWidget.py0000644000276300001750000011633013136054446023565 0ustar solebliss00000000000000# /*######################################################################### # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ """:class:`SilxMaskImageWidget` uses a silx PlotWidget to display a stack, while offering the same tools as the :class:`StackRoiWindow` (median filter, background subtraction, ...). In addition to reimplementing existing tools, it also provides methods to plot a background image underneath the stack images. """ __authors__ = ["P. Knobel"] __license__ = "MIT" import copy import numpy import os from PyMca5.PyMcaMath.PyMcaSciPy.signal.median import medfilt2d from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, "QString"): QString = qt.QString else: QString = str from PyMca5.PyMcaGui.plotting.PyMca_Icons import IconDict from PyMca5.PyMcaIO import ArraySave from PyMca5.PyMcaCore import PyMcaDirs try: from PyMca5.PyMcaGui.pymca import QPyMcaMatplotlibSave except ImportError: QPyMcaMatplotlibSave = None # temporarily disable logging when importing silx and fabio import logging logging.basicConfig() logging.disable(logging.ERROR) import silx from silx.gui.plot import PlotWidget from silx.gui.plot import PlotActions from silx.gui.plot import PlotToolButtons from silx.gui.plot.MaskToolsWidget import MaskToolsWidget, MaskToolsDockWidget from silx.gui.plot.AlphaSlider import NamedImageAlphaSlider from silx.gui.plot.Profile import ProfileToolBar from silx.gui import icons logging.disable(logging.NOTSET) # restore default logging behavior def convertToRowAndColumn(x, y, shape, xScale=None, yScale=None, safe=True): """Return (row, column) of a pixel defined by (x, y) in an image. :param float x: Abscissa of point :param float x: Ordinate of point :param shape: Shape of image (nRows, nColumns) :param xScale: Tuple of linear scaling parameters (a, b), x = a + b * column :param yScale: Tuple of linear scaling parameters (a, b), y = a + b * row :param bool safe: If True, always return coordinates within the image's bounds. :return: 2-tuple (r, c) """ if xScale is None: c = x else: c = (x - xScale[0]) / xScale[1] if yScale is None: r = y else: r = (y - yScale[0]) / yScale[1] if safe: c = min(int(c), shape[1] - 1) c = max(c, 0) r = min(int(r), shape[0] - 1) r = max(r, 0) else: c = int(c) r = int(r) return r, c class MyMaskToolsWidget(MaskToolsWidget): """Backport of the setSelectionMask behavior implemented in silx 0.6.0, to synchronize mask parameters with the active image.""" def setSelectionMask(self, mask, copy=True): """Set the mask to a new array. :param numpy.ndarray mask: The array to use for the mask. :type mask: numpy.ndarray of uint8 of dimension 2, C-contiguous. Array of other types are converted. :param bool copy: True (the default) to copy the array, False to use it as is if possible. :return: None if failed, shape of mask as 2-tuple if successful. The mask can be cropped or padded to fit active image, the returned shape is that of the active image. """ mask = numpy.array(mask, copy=False, dtype=numpy.uint8) if len(mask.shape) != 2: # _logger.error('Not an image, shape: %d', len(mask.shape)) return None # ensure all mask attributes are synchronized with the active image activeImage = self.plot.getActiveImage() if activeImage is not None and activeImage.getLegend() != self._maskName: self._activeImageChanged() self.plot.sigActiveImageChanged.connect(self._activeImageChanged) if self._data.shape[0:2] == (0, 0) or mask.shape == self._data.shape[0:2]: self._mask.setMask(mask, copy=copy) self._mask.commit() return mask.shape else: resizedMask = numpy.zeros(self._data.shape[0:2], dtype=numpy.uint8) height = min(self._data.shape[0], mask.shape[0]) width = min(self._data.shape[1], mask.shape[1]) resizedMask[:height, :width] = mask[:height, :width] self._mask.setMask(resizedMask, copy=False) self._mask.commit() return resizedMask.shape class MyMaskToolsDockWidget(MaskToolsDockWidget): """ Regular MaskToolsDockWidget if silx version is at least 0.6.0, else it uses a backported MaskToolsWidget """ def __init__(self, parent=None, plot=None, name='Mask'): super(MyMaskToolsDockWidget, self).__init__(parent, plot, name) if silx.version < "0.6": self.setWidget(MyMaskToolsWidget(plot=plot)) self.widget().sigMaskChanged.connect(self._emitSigMaskChanged) class SaveImageListAction(qt.QAction): """Save current image and mask (if any) in a :class:`MaskImageWidget` to EDF or CSV""" def __init__(self, title, maskImageWidget, clipped=False, subtract=False): super(SaveImageListAction, self).__init__(QString(title), maskImageWidget) self.maskImageWidget = maskImageWidget self.triggered[bool].connect(self.onTrigger) self.outputDir = PyMcaDirs.outputDir """Default output dir. After each save operation, this is updated to re-use the same folder for next save.""" self.clipped = clipped """If True, clip data range to colormap min and max.""" self.subtract = subtract """If True, subtract data min value.""" def onTrigger(self): filename, saveFilter = self.getOutputFileNameFilter() if not filename: return if filename.lower().endswith(".csv"): csvseparator = "," if "," in saveFilter else\ ";" if ";" in saveFilter else\ "\t" else: csvseparator = None images, labels = self.getImagesLabels() self.saveImageList(filename, images, labels, csvseparator) def saveImageList(self, filename, imageList, labels, csvseparator=None): if not imageList: qt.QMessageBox.information( self, "No Data", "Image list is empty.\nNothing to be saved") return if filename.lower().endswith(".edf"): ArraySave.save2DArrayListAsEDF(imageList, filename, labels) elif filename.lower().endswith(".csv"): assert csvseparator is not None ArraySave.save2DArrayListAsASCII(imageList, filename, labels, csv=True, csvseparator=csvseparator) else: ArraySave.save2DArrayListAsASCII(imageList, filename, labels, csv=False) def getImagesLabels(self): """Return images to be saved and corresponding labels. Images are: - image currently displayed clipped to visible colormap range - mask If :attr:`subtract` is True, subtract the minimum image sample value to all samples.""" imageList = [] labels = [] imageData = self.maskImageWidget.getImageData() colormapDict = self.maskImageWidget.getCurrentColormap() label = self.maskImageWidget.plot.getGraphTitle() if not label: label = "Image01" label.replace(' ', '_') if self.clipped and colormapDict is not None: autoscale = colormapDict['autoscale'] if not autoscale: vmin = colormapDict['vmin'] vmax = colormapDict['vmax'] imageData = imageData.clip(vmin, vmax) label += ".clip(%f,%f)" % (vmin, vmax) if self.subtract: vmin = imageData.min() imageData = imageData - vmin label += "-%f" % vmin imageList.append(imageData) labels.append(label) mask = self.maskImageWidget.getSelectionMask() if mask is not None and mask.max() > 0: imageList.append(mask) labels.append(label + "_Mask") return imageList, labels def getOutputFileNameFilter(self): """Open a file dialog to get the output file name, and return the file name and the selected format filter. Remember output directory in attribute :attr:`outputDir`""" if os.path.exists(self.outputDir): initdir = self.outputDir else: # folder deleted, reset initdir = PyMcaDirs.outputDir filedialog = qt.QFileDialog(self.maskImageWidget) filedialog.setFileMode(filedialog.AnyFile) filedialog.setAcceptMode(qt.QFileDialog.AcceptSave) filedialog.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict["gioconda16"]))) formatlist = ["ASCII Files *.dat", "EDF Files *.edf", 'CSV(, separated) Files *.csv', 'CSV(; separated) Files *.csv', 'CSV(tab separated) Files *.csv'] if hasattr(qt, "QStringList"): strlist = qt.QStringList() else: strlist = [] for f in formatlist: strlist.append(f) saveFilter = formatlist[0] if hasattr(filedialog, "setFilters"): filedialog.setFilters(strlist) filedialog.selectFilter(saveFilter) else: filedialog.setNameFilters(strlist) filedialog.selectNameFilter(saveFilter) filedialog.setDirectory(initdir) ret = filedialog.exec_() if not ret: return "", "" filename = filedialog.selectedFiles()[0] if filename: filename = qt.safe_str(filename) self.outputDir = os.path.dirname(filename) if hasattr(filedialog, "selectedFilter"): saveFilter = qt.safe_str(filedialog.selectedFilter()) else: saveFilter = qt.safe_str(filedialog.selectedNameFilter()) filterused = "." + saveFilter[-3:] PyMcaDirs.outputDir = os.path.dirname(filename) if len(filename) < 4 or filename[-4:] != filterused: filename += filterused else: filename = "" return filename, saveFilter class SaveMatplotlib(qt.QAction): """Save current image and mask (if any) in a :class:`MaskImageWidget` to EDF or CSV""" def __init__(self, title, maskImageWidget): super(SaveMatplotlib, self).__init__(QString(title), maskImageWidget) self.maskImageWidget = maskImageWidget self.triggered[bool].connect(self.onTrigger) self._matplotlibSaveImage = None def onTrigger(self): imageData = self.maskImageWidget.getImageData() if self._matplotlibSaveImage is None: self._matplotlibSaveImage = QPyMcaMatplotlibSave.SaveImageSetup( None, image=None) title = "Matplotlib " + self.maskImageWidget.plot.getGraphTitle() self._matplotlibSaveImage.setWindowTitle(title) ddict = self._matplotlibSaveImage.getParameters() colormapDict = self.maskImageWidget.getCurrentColormap() if colormapDict is not None: autoscale = colormapDict['autoscale'] vmin = colormapDict['vmin'] vmax = colormapDict['vmax'] colormapType = colormapDict['normalization'] # 'log' or 'linear' if colormapType == 'log': colormapType = 'logarithmic' ddict['linlogcolormap'] = colormapType if not autoscale: ddict['valuemin'] = vmin ddict['valuemax'] = vmax else: ddict['valuemin'] = 0 ddict['valuemax'] = 0 # this sets the actual dimensions origin = self.maskImageWidget._origin delta = self.maskImageWidget._deltaXY ddict['xpixelsize'] = delta[0] ddict['xorigin'] = origin[0] ddict['ypixelsize'] = delta[1] ddict['yorigin'] = origin[1] ddict['xlabel'] = self.maskImageWidget.plot.getGraphXLabel() ddict['ylabel'] = self.maskImageWidget.plot.getGraphYLabel() limits = self.maskImageWidget.plot.getGraphXLimits() ddict['zoomxmin'] = limits[0] ddict['zoomxmax'] = limits[1] limits = self.maskImageWidget.plot.getGraphYLimits() ddict['zoomymin'] = limits[0] ddict['zoomymax'] = limits[1] self._matplotlibSaveImage.setParameters(ddict) self._matplotlibSaveImage.setImageData(imageData) self._matplotlibSaveImage.show() self._matplotlibSaveImage.raise_() class SaveToolButton(qt.QToolButton): def __init__(self, parent=None, maskImageWidget=None): """ :param maskImageWidget: Parent SilxMaskImageWidget """ qt.QToolButton.__init__(self, parent) self.maskImageWidget = maskImageWidget self.setIcon(icons.getQIcon("document-save")) self.clicked.connect(self._saveToolButtonSignal) self.setToolTip('Save Graph') self._saveMenu = qt.QMenu() self._saveMenu.addAction( SaveImageListAction("Image Data", self.maskImageWidget)) self._saveMenu.addAction( SaveImageListAction("Colormap Clipped Seen Image Data", self.maskImageWidget, clipped=True)) self._saveMenu.addAction( SaveImageListAction("Clipped and Subtracted Seen Image Data", self.maskImageWidget, clipped=True, subtract=True)) # standard silx save action self._saveMenu.addAction(PlotActions.SaveAction( plot=self.maskImageWidget.plot, parent=self)) if QPyMcaMatplotlibSave is not None: self._saveMenu.addAction(SaveMatplotlib("Matplotlib", self.maskImageWidget)) def _saveToolButtonSignal(self): self._saveMenu.exec_(self.parent().cursor().pos()) class MedianParameters(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QHBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.label = qt.QLabel(self) self.label.setText("Median filter width: ") self.widthSpin = qt.QSpinBox(self) self.widthSpin.setMinimum(1) self.widthSpin.setMaximum(99) self.widthSpin.setValue(1) self.widthSpin.setSingleStep(2) self.mainLayout.addWidget(self.label) self.mainLayout.addWidget(self.widthSpin) class SilxMaskImageWidget(qt.QMainWindow): """Main window with a plot widget, a toolbar and a slider. A list of images can be set with :meth:`setImages`. The mask can be accessed through getter and setter methods: :meth:`setSelectionMask` and :meth:`getSelectionMask`. The plot widget can be accessed as :attr:`plot`. It is a silx plot widget. The toolbar offers some basic interaction tools: zoom control, colormap, aspect ratio, y axis orientation, "save image" menu and a mask widget. """ sigMaskImageWidget = qt.pyqtSignal(object) def __init__(self, parent=None): qt.QMainWindow.__init__(self, parent=parent) if parent is not None: # behave as a widget self.setWindowFlags(qt.Qt.Widget) else: self.setWindowTitle("PyMca - Image Selection Tool") centralWidget = qt.QWidget(self) layout = qt.QVBoxLayout(centralWidget) centralWidget.setLayout(layout) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) # Plot self.plot = PlotWidget(parent=centralWidget) self.plot.setWindowFlags(qt.Qt.Widget) self.plot.setDefaultColormap({'name': 'temperature', 'normalization': 'linear', 'autoscale': True, 'vmin': 0., 'vmax': 1.}) layout.addWidget(self.plot) # Mask Widget self._maskToolsDockWidget = None # Image selection slider self.slider = qt.QSlider(self.centralWidget()) self.slider.setOrientation(qt.Qt.Horizontal) self.slider.setMinimum(0) self.slider.setMaximum(0) layout.addWidget(self.slider) self.slider.valueChanged[int].connect(self.showImage) # ADD/REMOVE/REPLACE IMAGE buttons buttonBox = qt.QWidget(self) buttonBoxLayout = qt.QHBoxLayout(buttonBox) buttonBoxLayout.setContentsMargins(0, 0, 0, 0) buttonBoxLayout.setSpacing(0) self.addImageButton = qt.QPushButton(buttonBox) icon = qt.QIcon(qt.QPixmap(IconDict["rgb16"])) self.addImageButton.setIcon(icon) self.addImageButton.setText("ADD IMAGE") self.addImageButton.setToolTip("Add image to RGB correlator") buttonBoxLayout.addWidget(self.addImageButton) self.removeImageButton = qt.QPushButton(buttonBox) self.removeImageButton.setIcon(icon) self.removeImageButton.setText("REMOVE IMAGE") self.removeImageButton.setToolTip("Remove image from RGB correlator") buttonBoxLayout.addWidget(self.removeImageButton) self.replaceImageButton = qt.QPushButton(buttonBox) self.replaceImageButton.setIcon(icon) self.replaceImageButton.setText("REPLACE IMAGE") self.replaceImageButton.setToolTip( "Replace all images in RGB correlator with this one") buttonBoxLayout.addWidget(self.replaceImageButton) self.addImageButton.clicked.connect(self._addImageClicked) self.removeImageButton.clicked.connect(self._removeImageClicked) self.replaceImageButton.clicked.connect(self._replaceImageClicked) layout.addWidget(buttonBox) # median filter widget self._medianParameters = {'row_width': 1, 'column_width': 1} self._medianParametersWidget = MedianParameters(self) self._medianParametersWidget.widthSpin.setValue(1) self._medianParametersWidget.widthSpin.valueChanged[int].connect( self._setMedianKernelWidth) layout.addWidget(self._medianParametersWidget) self.setCentralWidget(centralWidget) # Init actions self.group = qt.QActionGroup(self) self.group.setExclusive(False) self.resetZoomAction = self.group.addAction( PlotActions.ResetZoomAction(plot=self.plot, parent=self)) self.addAction(self.resetZoomAction) self.zoomInAction = PlotActions.ZoomInAction(plot=self.plot, parent=self) self.addAction(self.zoomInAction) self.zoomOutAction = PlotActions.ZoomOutAction(plot=self.plot, parent=self) self.addAction(self.zoomOutAction) self.xAxisAutoScaleAction = self.group.addAction( PlotActions.XAxisAutoScaleAction(plot=self.plot, parent=self)) self.addAction(self.xAxisAutoScaleAction) self.yAxisAutoScaleAction = self.group.addAction( PlotActions.YAxisAutoScaleAction(plot=self.plot, parent=self)) self.addAction(self.yAxisAutoScaleAction) self.colormapAction = self.group.addAction( PlotActions.ColormapAction(plot=self.plot, parent=self)) self.addAction(self.colormapAction) self.copyAction = self.group.addAction( PlotActions.CopyAction(plot=self.plot, parent=self)) self.addAction(self.copyAction) self.group.addAction(self.getMaskAction()) # Init toolbuttons self.saveToolbutton = SaveToolButton(parent=self, maskImageWidget=self) self.yAxisInvertedButton = PlotToolButtons.YAxisOriginToolButton( parent=self, plot=self.plot) self.keepDataAspectRatioButton = PlotToolButtons.AspectToolButton( parent=self, plot=self.plot) self.backgroundButton = qt.QToolButton(self) self.backgroundButton.setCheckable(True) self.backgroundButton.setIcon(qt.QIcon(qt.QPixmap(IconDict["subtract"]))) self.backgroundButton.setToolTip( 'Toggle background image subtraction from current image\n' + 'No action if no background image available.') self.backgroundButton.clicked.connect(self._subtractBackground) # Creating the toolbar also create actions for toolbuttons self._toolbar = self._createToolBar(title='Plot', parent=None) self.addToolBar(self._toolbar) self._profile = ProfileToolBar(plot=self.plot) self.addToolBar(self._profile) self.setProfileToolbarVisible(False) # add a transparency slider for the stack data self._alphaSliderToolbar = qt.QToolBar("Alpha slider", parent=self) self._alphaSlider = NamedImageAlphaSlider(parent=self._alphaSliderToolbar, plot=self.plot, legend="current") self._alphaSlider.setOrientation(qt.Qt.Vertical) self._alphaSlider.setToolTip("Adjust opacity of stack image overlay") self._alphaSliderToolbar.addWidget(self._alphaSlider) self.addToolBar(qt.Qt.RightToolBarArea, self._alphaSliderToolbar) # hide optional tools and actions self.setAlphaSliderVisible(False) self.setBackgroundActionVisible(False) self.setMedianFilterWidgetVisible(False) self.setProfileToolbarVisible(False) self._images = [] """List of images, as 2D numpy arrays or 3D numpy arrays (RGB(A)). """ self._labels = [] """List of image labels. """ self._bg_images = [] """List of background images, as 2D numpy arrays or 3D numpy arrays (RGB(A)). These images are not active, their colormap cannot be changed and they cannot be the base image used for drawing a mask. """ self._bg_labels = [] self._deltaXY = (1.0, 1.0) # TODO: allow different scale and origin for each image """Current image scale (Xscale, Yscale) (in axis units per image pixel). The scale is adjusted to keep constant width and height for the image when a crop operation is applied.""" self._origin = (0., 0.) """Current image origin: coordinate (x, y) of sample located at (row, column) = (0, 0)""" # scales and origins for background images self._bg_deltaXY = [] self._bg_origins = [] def sizeHint(self): return qt.QSize(500, 400) def _createToolBar(self, title, parent): """Create a QToolBar with crop, rotate and flip operations :param str title: The title of the QMenu :param qt.QWidget parent: See :class:`QToolBar` """ toolbar = qt.QToolBar(title, parent) # Order widgets with actions objects = self.group.actions() # Add standard push buttons to list index = objects.index(self.colormapAction) objects.insert(index + 1, self.keepDataAspectRatioButton) objects.insert(index + 2, self.yAxisInvertedButton) objects.insert(index + 3, self.saveToolbutton) objects.insert(index + 4, self.backgroundButton) for obj in objects: if isinstance(obj, qt.QAction): toolbar.addAction(obj) else: # keep reference to toolbutton's action for changing visibility if obj is self.keepDataAspectRatioButton: self.keepDataAspectRatioAction = toolbar.addWidget(obj) elif obj is self.yAxisInvertedButton: self.yAxisInvertedAction = toolbar.addWidget(obj) elif obj is self.saveToolbutton: self.saveAction = toolbar.addWidget(obj) elif obj is self.backgroundButton: self.bgAction = toolbar.addWidget(obj) else: raise RuntimeError() return toolbar def _getMaskToolsDockWidget(self): """DockWidget with image mask panel (lazy-loaded).""" if self._maskToolsDockWidget is None: self._maskToolsDockWidget = MyMaskToolsDockWidget( plot=self.plot, name='Mask') self._maskToolsDockWidget.hide() self.addDockWidget(qt.Qt.RightDockWidgetArea, self._maskToolsDockWidget) # self._maskToolsDockWidget.setFloating(True) self._maskToolsDockWidget.sigMaskChanged.connect( self._emitMaskImageWidgetSignal) return self._maskToolsDockWidget def _setMedianKernelWidth(self, value): kernelSize = numpy.asarray(value) if len(kernelSize.shape) == 0: kernelSize = [kernelSize.item()] * 2 self._medianParameters['row_width'] = kernelSize[0] self._medianParameters['column_width'] = kernelSize[1] self._medianParametersWidget.widthSpin.setValue(int(kernelSize[0])) current = self.slider.value() self.showImage(current) def _subtractBackground(self): """When background button is clicked, this causes showImage to display the data after subtracting the stack background image. This background image is unrelated to the background images set with :meth:`setBackgroundImages`, it is simply the first data image whose label ends with 'background'.""" current = self.getCurrentIndex() self.showImage(current) def setBackgroundActionVisible(self, visible): """Set visibility of the background toolbar button. :param visible: True to show tool button, False to hide it. """ self.bgAction.setVisible(visible) def setProfileToolbarVisible(self, visible): """Set visibility of the profile toolbar :param visible: True to show toolbar, False to hide it. """ self._profile.setVisible(visible) def setMedianFilterWidgetVisible(self, visible): """Set visibility of the median filter parametrs widget. :param visible: True to show widget, False to hide it. """ self._medianParametersWidget.setVisible(visible) def setAlphaSliderVisible(self, visible): """Set visibility of the transparency slider widget in the right toolbar area. :param visible: True to show widget, False to hide it. """ self._alphaSliderToolbar.setVisible(visible) def setImagesAlpha(self, alpha): """Set the opacity of the images layer. Full opacity means that the background images layer will not be visible. :param float alpha: Opacity of images layer, in [0., 1.] """ self._alphaSlider.setValue(round(alpha * 255)) def getMaskAction(self): """QAction toggling image mask dock widget :rtype: QAction """ return self._getMaskToolsDockWidget().toggleViewAction() def _emitMaskImageWidgetSignal(self): mask = self.getSelectionMask() if not mask.size: # workaround to ignore the empty mask emitted when the mask widget # is initialized return self.sigMaskImageWidget.emit( {"event": "selectionMaskChanged", "current": self.getSelectionMask(), "id": id(self)}) def setSelectionMask(self, mask, copy=True): """Set the mask to a new array. :param numpy.ndarray mask: The array to use for the mask. Mask type: array of uint8 of dimension 2, Array of other types are converted. :param bool copy: True (the default) to copy the array, False to use it as is if possible. :return: None if failed, shape of mask as 2-tuple if successful. The mask can be cropped or padded to fit active image, the returned shape is that of the active image. """ if mask is None: mask = numpy.zeros_like(self._getMaskToolsDockWidget().getSelectionMask()) if not len(mask): return # disconnect temporarily to avoid infinite loop self._getMaskToolsDockWidget().sigMaskChanged.disconnect( self._emitMaskImageWidgetSignal) ret = self._getMaskToolsDockWidget().setSelectionMask(mask, copy=copy) self._getMaskToolsDockWidget().sigMaskChanged.connect( self._emitMaskImageWidgetSignal) return ret def getSelectionMask(self, copy=True): """Get the current mask as a 2D array. :param bool copy: True (default) to get a copy of the mask. If False, the returned array MUST not be modified. :return: The array of the mask with dimension of the 'active' image. If there is no active image, an empty array is returned. :rtype: 2D numpy.ndarray of uint8 """ return self._getMaskToolsDockWidget().getSelectionMask(copy=copy) @staticmethod def _RgbaToGrayscale(image): """Convert RGBA image to 2D array of grayscale values (Luma coding) :param image: RGBA image, as a numpy array of shapes (nrows, ncols, 3/4) :return: Image as a 2D array """ if len(image.shape) == 2: return image assert len(image.shape) == 3 imageData = image[:, :, 0] * 0.299 +\ image[:, :, 1] * 0.587 +\ image[:, :, 2] * 0.114 return imageData def getImageData(self): """Return current image data to be sent to RGB correlator :return: Image as a 2D array """ index = self.slider.value() image = self._images[index] return self._RgbaToGrayscale(image) def getFirstBgImageData(self): """Return first bg image data to be sent to RGB correlator :return: Image as a 2D array """ image = self._bg_images[0] return self._RgbaToGrayscale(image) def _addImageClicked(self): imageData = self.getImageData() ddict = { 'event': "addImageClicked", 'image': imageData, 'title': self.plot.getGraphTitle(), 'id': id(self)} self.sigMaskImageWidget.emit(ddict) def _replaceImageClicked(self): imageData = self.getImageData() ddict = { 'event': "replaceImageClicked", 'image': imageData, 'title': self.plot.getGraphTitle(), 'id': id(self)} self.sigMaskImageWidget.emit(ddict) def _removeImageClicked(self): imageData = self.getImageData() ddict = { 'event': "removeImageClicked", 'image': imageData, 'title': self.plot.getGraphTitle(), 'id': id(self)} self.sigMaskImageWidget.emit(ddict) def showImage(self, index=0): """Show data image corresponding to index. Update slider to index. """ if not self._images: return assert index < len(self._images) bg_index = None if self.backgroundButton.isChecked(): for i, imageName in enumerate(self._labels): if imageName.lower().endswith('background'): bg_index = i break mf_text = "" a = self._medianParameters['row_width'] b = self._medianParameters['column_width'] if max(a, b) > 1: mf_text = "MF(%d,%d) " % (a, b) imdata = self._getMedianData(self._images[index]) if bg_index is None: self.plot.setGraphTitle(mf_text + self._labels[index]) else: self.plot.setGraphTitle(mf_text + self._labels[index] + " Net") imdata -= self._images[bg_index] self.plot.addImage(imdata, legend="current", origin=self._origin, scale=self._deltaXY, replace=False, z=0) self.plot.setActiveImage("current") self.slider.setValue(index) def _getMedianData(self, data): data = copy.copy(data) if max(self._medianParameters['row_width'], self._medianParameters['column_width']) > 1: data = medfilt2d(data, [self._medianParameters['row_width'], self._medianParameters['column_width']]) return data def setImages(self, images, labels=None, origin=None, height=None, width=None): """Set the list of data images. All images share the same origin, width and height. :param images: List of 2D or 3D (for RGBA data) numpy arrays of image data. All images must have the same shape. :type images: List of ndarrays :param labels: list of image names :param origin: Image origin: coordinate (x, y) of sample located at (row, column) = (0, 0). If None, use (0., 0.) :param height: Image height in Y axis units. If None, use the image height in number of pixels. :param width: Image width in X axis units. If None, use the image width in number of pixels. """ self._images = images if labels is None: labels = ["Image %d" % (i + 1) for i in range(len(images))] self._labels = labels height_pixels, width_pixels = images[0].shape[0:2] height = height or height_pixels width = width or width_pixels self._deltaXY = (float(width) / width_pixels, float(height) / height_pixels) self._origin = origin or (0., 0.) current = self.slider.value() self.slider.setMaximum(len(self._images) - 1) if current < len(self._images): self.showImage(current) else: self.showImage(0) # _maskParamsCache = width, height, self._origin, self._deltaXY # if _maskParamsCache != self._maskParamsCache: # self._maskParamsCache = _maskParamsCache # self.resetMask(width, height, self._origin, self._deltaXY) def _updateBgScales(self, heights, widths): """Recalculate BG scales (e.g after a crop operation on :attr:`_bg_images`)""" self._bg_deltaXY = [] for w, h, img in zip(widths, heights, self._bg_images): self._bg_deltaXY.append( (float(w) / img.shape[1], float(h) / img.shape[0]) ) def setBackgroundImages(self, images, labels=None, origins=None, heights=None, widths=None): """Set the list of background images. Each image should be a tile and have an origin (x, y) tuple, a height and a width defined, so that all images can be plotted on the same background layer. :param images: List of 2D or 3D (for RGBA data) numpy arrays of image data. All images must have the same shape. :type images: List of ndarrays :param labels: list of image names :param origins: Images origins: list of coordinate tuples (x, y) of sample located at (row, column) = (0, 0). If None, use (0., 0.) for all images. :param height: Image height in Y axis units. If None, use the image height in number of pixels. :param width: Image width in X axis units. If None, use the image width in number of pixels. """ self._bg_images = images if labels is None: labels = ["Background image %d" % (i + 1) for i in range(len(images))] # delete existing images for label in self._bg_labels: self.plot.removeImage(label) self._bg_labels = labels if heights is None: heights = [image.shape[0] for image in images] else: assert len(heights) == len(images) if widths is None: widths = [image.shape[1] for image in images] else: assert len(widths) == len(images) if origins is None: origins = [(0, 0) for _img in images] else: assert len(origins) == len(images) self._bg_origins = origins self._updateBgScales(heights, widths) for bg_deltaXY, bg_orig, label, img in zip(self._bg_deltaXY, self._bg_origins, labels, images): # FIXME: we use z=-1 because the mask is always on z=1, # so the data must be on z=0. To be fixed after the silx mask # is improved self.plot.addImage(img, origin=bg_orig, scale=bg_deltaXY, legend=label, replace=False, z=-1) # TODO: z=0 def getCurrentIndex(self): """ :return: Index of slider widget used for image selection. """ return self.slider.value() def getCurrentColormap(self): """Return colormap dict associated with the current image. If the current image is a RGBA Image, return None. See doc of silx.gui.plot.Plot for an explanation about the colormap dictionary. """ image = self.plot.getImage(legend="current") if not hasattr(image, "getColormap"): # isinstance(image, silx.gui.plot.items.ImageRgba): return None return self.plot.getImage(legend="current").getColormap() def showAndRaise(self): self.show() self.raise_() if __name__ == "__main__": app = qt.QApplication([]) w = SilxMaskImageWidget() w.show() w.plot.addImage([[0, 1, 2], [2, 1, -1]]) app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/PyMca_Icons.py0000644000276300001750000021111113136054446022060 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" aspect_ratio = [ #/* columns rows colors chars-per-pixel */ "32 32 5 1", " c #47463F", ". c #BA165D", "X c #2F3AB5", "o c #FFFFE8", "O c None", #/* pixels */ "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOXXXXXXXXXXXXXXXXXXXXXXXXXXXXOO", "OOXooooooooooooooooooooooooooXOO", "OOXo ...... ooooooooooooooooXOO", "OOXo. XXXXX. oooooooooooooXOO", "OOXo.XXXXXX.ooo oooooooooooXOO", "OOXo .. ....oooooo ooooooooXOO", "OOXo ooo ooo ooooooo oooooXOO", "OOXo ooo ooo ooooooooo ooXOO", "OOXoo oooo oXOO", "OOXoo oooo ................ oXOO", "OOXoo ooo ................ oXOO", "OOXooo ooo ..XXXXXXXXXXXX.. oXOO", "OOXooo ooo ..XXXXXXXXXXXX.. oXOO", "OOXooo ooo ..XXXXXXXXXXXX.. oXOO", "OOXoooo oo ..XXXXXXXXXXXX.. oXOO", "OOXoooo oo ..XXXXXXXXXXXX.. oXOO", "OOXoooo oo ..XXXXXXXXXXXX.. oXOO", "OOXooooo o ..XXXXXXXXXXXX.. oXOO", "OOXooooo o ..XXXXXXXXXXXX.. oXOO", "OOXooooo o ..XXXXXXXXXXXX.. oXOO", "OOXooooo ..XXXXXXXXXXXX.. oXOO", "OOXoooooo ..XXXXXXXXXXXX.. oXOO", "OOXoooooo ..XXXXXXXXXXXX.. oXOO", "OOXoooooo ................ oXOO", "OOXooooooo ................ oXOO", "OOXooooooo oXOO", "OOXooooooooooooooooooooooooooXOO", "OOXXXXXXXXXXXXXXXXXXXXXXXXXXXXOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO" ] # --- scan window icons --- plugin = [ #columns rows colors chars-per-pixel "32 32 16 1", " c #000000", ". c #303030", "X c #585858", "o c #c05800", "O c #ff8000", "+ c #ffa858", "@ c #c0c000", "# c #ffff00", "$ c #808080", "% c #a0a0a0", "& c #ffdca8", "* c #c3c3c3", "= c #dcdcdc", "- c #ffffc0", "; c #ffffff", ": c None", # pixels "::::::::::::::::::::::: :::::::", ":::::::::::::::::::::: -& : :::", "::::::::::::::::::: &## &+ ::", ":::::::::::::::::: -&-&&#+&#o ::", ":::::::::::::::::: ###+#@#@+o ::", "::::::::::::::::::: &&#@ @O@O :", ":::::::::::::::::: -&#@ : o@+#+ ", "::::::::::: ::: &&## ::: #+@@ ", ":::::::::: ;;; :: ##@+# : &#@@ :", "::::: :::: ;;= ::: #@+@ #&+# ::", ":::: ; ;;;;= @+@+#&##+# :", "::: ;;;;;;;====;;;; #oO@+@@@## :", ":: ;;;;;;;===***%%% oo @@@ ::", "::: ;;;;;;===**%%%%$ : @@ :::::", "::: ;;;;====**%%%$%$ :: ::::::", "::: ;;;;==%XXX%%%%$$ ::::::::::", "::: ;;===%X X$$$$$$ ::::::::::", ": ;;;==%X ::: X$$%$%% ::::::::", " ;;;====X ::::: $$$%%%=* :::::::", " ;;;==**$ ::::: %$%%%%*$ :::::::", " ;===***% ::::: =%%%%$X$ :::::::", ": ****%%% ::: ;=%%%$X ::::::::", "::: **%%%%% ;;%%%*$ ::::::::::", "::: =%%%%$$%;;=%%%*=$ ::::::::::", "::: =%%%$$%$$%%%%***% ::::::::::", "::: =%%$$$$%%%%***=== ::::::::::", ":: **%$%$$%$%%%***==== :::::::::", "::: X .$%%%$X$%**= ::::::::::", ":::: X%%$X = :::::::::::", "::::: :::: %*$ :::: ::::::::::::", ":::::::::: %X$ :::::::::::::::::", "::::::::::: ::::::::::::::::::" ] crop =[ "16 16 2 1", " c none", ". c black", " ", " .. ", " .. ", " .. ", " .......... ", " .......... ", " .. .. ", " .. .. ", " .. .. ", " .. .. ", " .......... ", " .......... ", " .. ", " .. ", " .. ", " ", ] togglepoints =[ "16 16 2 1", " c none", ". c blue", " ", " . . ", " . . ", " . . ", " . . ", " . . ", " . ... ... ", " . . . ... ", " . ... ... ", " . . ", " . . ", " . . ", " . . ", " . . ", " . . ", " " ] square16 =[ "16 16 2 1", " c none", "X c blue", " ", " XXXXXXXXXXXXXX ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " XXXXXXXXXXXXXX ", " " ] rectangle16 =[ "16 16 2 1", " c none", "X c blue", " ", " ", " ", " XXXXXXXXXXXXXX ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " XXXXXXXXXXXXXX ", " ", " ", " " ] polygon16 =[ "16 16 2 1", " c none", "X c blue", " ", " XX ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " XXXXXXXXXXX ", " " ] circle16 =[ "16 16 2 1", " c none", "X c blue", " ", " XXXXXX ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " XXXXXX ", " " ] ellipse16 =[ "16 16 2 1", " c none", "X c blue", " ", " ", " ", " ", " XXXXXX ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " X X ", " XXXXXX ", " ", " ", " ", ] solid_circle16 =[ "16 16 2 1", " c none", "X c blue", " ", " XXXXXX ", " XXXXXXXX ", " XXXXXXXXXX ", " XXXXXXXXXXXX ", " XXXXXXXXXXXXXX ", " XXXXXXXXXXXXXX ", " XXXXXXXXXXXXXX ", " XXXXXXXXXXXXXX ", " XXXXXXXXXXXXXX ", " XXXXXXXXXXXXXX ", " XXXXXXXXXXXX ", " XXXXXXXXXX ", " XXXXXXXX ", " XXXXXX ", " " ] solid_ellipse16 =[ "16 16 2 1", " c none", "X c blue", " ", " ", " ", " ", " XXXXXX ", " XXXXXXXXXX ", " XXXXXXXXXXXX ", " XXXXXXXXXXXXXX ", " XXXXXXXXXXXXXX ", " XXXXXXXXXXXXXX ", " XXXXXXXXXXXX ", " XXXXXXXXXX ", " XXXXXX ", " ", " ", " ", ] subtract =[ "16 16 2 1", " c none", ". c blue", " ", " .......... ", " . . ", " . . ", " . . ", " . . ", " . . ", " .......... ", " . . ", " . . ", " . . ", " . . ", " . . ", " . . ", " .......... ", " " ] substract = subtract smooth = [ "16 16 3 1", "O c none", "* c yellow", ": c blue", "OOOOOOOOOOOOOOOO", "OOOO**OOO*:OOOOO", "OOOOO**O*::OOOOO", "OOOO::***:O:OOOO", "OOOO::O**OO:OOOO", "OOO:O:****OO:OOO", "OOO:OO*:O**O:OOO", "OO:OO**OOOOO:OOO", "OO:OO*OOOOOO:OOO", "O:OOOOOOOOOO::OO", "O:OOOOOOOOOOO:OO", "O:OOOOOOOOOOO::O", "OOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOO", "OOOOOOOOOOOOOOOO" ] derive = [ "16 16 2 1", " c None", ". c blue", " ", " .. . ", " . . . ", " . ", " . ", " . ", " . . . ", " .. . . . . ", " . . . . . ", " . . . . ", " . . . . . ", " . . . . . ", " . . . ", " ", " ", " " ] swapsign = [ "16 16 3 1", " c None", ". c blue", "X c red", " ", " ", " XX ", " XXX XX ", " XXX XX XX ", " XX XXX ", " XXX ", " ", " .............. ", " ", " ... ", " .. ... ", " ... .. .. ", " ... .. ", " .. ", " " ] ymintozero = [ "16 16 3 1", " c None", "X c blue", ". c red", " ", " ", " ", " ", " XX ", " XXX XX ", " XXX XX XX ", " XX XXX ", " XX ", " XX ", " X............. ", " ", " ", " ", " ", " ", ] """ average16=[ "16 16 2 1", ". c blue", " c None", " ", " .............. ", " ", " .. .. ", " .. .. ", " .. .. ", " .. .. ", " .. .. ", " ... ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " " ] """ average16=[ "16 16 2 1", ". c blue", " c None", " ", " .............. ", " ", " . . ", " . . ", " . . ", " . . ", " . . ", " .. ", " . ", " . ", " . ", " . ", " . ", " . ", " " ] horizontal=[ "16 16 2 1", ". c blue", " c None", " ", " ", " ", " ", " ", " ", " ", " .............. ", " .............. ", " ", " ", " ", " ", " ", " ", " " ] vertical=[ "16 16 2 1", ". c blue", " c None", " ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " " ] diagonal =[ "16 16 2 1", ". c blue", " c None", " ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " .. ", " . ", " " ] # ------------------------- sliderson=[ "16 16 2 1", " c blue", ". c None", "................", "... ..... ....", ". .. .. ..", "... ..... ....", "................", "................", "... ..... ....", ". .. .. ..", "... ..... ....", "................", "................", "... ..... ....", ". .. .. ..", "... ..... ....", "................", "................" ] slidersoff = [ "16 16 3 1", " c blue", ". c red", "X c None", "XXXXXXXXXXXXXXXX", "X.. XXXXX XX.X", "X ..X XX ..X", "XXX..XXXXX ..XX", "XXXX..XXXXX..XXX", "XXXXX..XXX..XXXX", "XXX X..X.. XXXX", "X XX ...XX XX", "XXX XX... XXXX", "XXXXXX..X..XXXXX", "XXXXX..XXX..XXXX", "XXX ..XXXX ..XXX", "X .. XX..XX", "XX.. XXXXX X..X", "X..XXXXXXXXXXX.X", "XXXXXXXXXXXXXXXX" ] remove = [ "16 16 3 1", "O c #ffc0c0", "+ c None", "X c red", "++++++++++++++++", "+XX++++++++++XX+", "++XX+++++++OXX++", "+++XX+++++OXX+++", "++++XXO++OXX++++", "+++++XX.OXX+++++", "++++++XXXX++++++", "++++++OXX+++++++", "+++++OXXXX++++++", "++++OXX+OXX+++++", "+++OXX+++OXX++++", "+++XX+++++OXX+++", "++XX+++++++OXX++", "+XX++++++++++XX+", "++++++++++++++++", "++++++++++++++++" ] sigma=[ "16 16 2 1", " c blue", ". c None", "................", ".... ..", ".... ..........", "..... .........", "...... ........", "....... .......", "........ ......", "....... .......", "...... ........", "..... .........", ".... ..........", "... ...........", ".. ............", ". .............", ". ..", "................" ] normalize16=[ "16 16 2 1", " c none", ". c blue", " ", " ... ", " . . . ", " . . . . . ", " . . . . ", " . . . . . ", " ... . . ", " ", " .............. ", " ", " . . ", " .. . ", " . . . ", " . .. ", " . . ", " " ] #grid grid16 = [ "16 16 2 1", " c none", ". c blue", " ", " . . . ", " ............. ", " . . . ", " . . . ", " . . . ", " . . . ", " ............. ", " . . . ", " . . . ", " . . . ", " . . . ", " ............. ", " . . . ", " ", " " ] rgb=[ "23 23 107 2", " c #0134013ffeec4048", ". c #0ec30ec3fefe0000", "X c #02621250fd510000", "o c #13090006fee00000", "O c #1c771c77fefe0000", "+ c #292e0006fefe0000", "@ c #32a90183ff020000", "# c #23bf23bffefe0000", "$ c #364736aafe4c0000", "% c #004a54cafeffffff", "& c #00cb6d74fefeffff", "* c #0cec671affff0000", "= c #6bbb0000fafe0000", "- c #462e462efefe0000", "; c #736a736afefe0000", ": c #7e467e46fefe0000", "> c #0110feec01070000", ", c #0c20fed101f80000", "< c #0913fefe09130000", "1 c #0119fd5310f7dfdf", "2 c #0f53fd4310270000", "3 c #16d2fefe16d20000", "4 c #25c4fefe25c40000", "5 c #2f78fefe2f780000", "6 c #004ffefe553c4048", "7 c #00b1fef56c170000", "8 c #0da7ffff67aa0000", "9 c #4b75ffd836f6abac", "0 c #6fb8fefb000a2e42", "q c #7f30fbdb00880000", "w c #5445fefe54450000", "e c #687dff00687f0000", "r c #717bfefe717b0000", "t c #0000e8e5ffda0000", "y c #0000ffd4e8c20000", "u c #0174fda4fda30000", "i c #22d9fd32fd650000", "p c #fef8015201430000", "a c #fefd0abc00290000", "s c #fefe0c980c980000", "d c #fefd00001b060000", "f c #fefe18eb18f30000", "g c #ff16402000160000", "h c #fefe236023600000", "j c #ff06001067c90000", "k c #fefe000071700000", "l c #fdf751ea00000000", "z c #fefd5d1101ba0000", "x c #ff1963f703480000", "c c #fefe59c659c60000", "v c #fefe665f665f0000", "b c #fefe701170110000", "n c #fefe758475840000", "m c #fefe796679660000", "M c #9889470dd6870000", "N c #b56c65cbff050000", "B c #ffff00dd97480000", "V c #fe7902189c2d0000", "C c #e5b6005dff6f0000", "Z c #eac60000fef80000", "A c #fef9008cec820000", "S c #fd9f00e7fdbf0000", "D c #ff7a1a99ff580000", "F c #b704fe0300080000", "G c #bb63fecf73900000", "H c #fefda38b483d0000", "J c #c2aefe9c02890000", "K c #fefddce5000c0000", "L c #eea6ffff010a0000", "P c #fdb8fe2b00e60000", "I c #fffffda636150000", "U c #86218564ff420000", "Y c #8e6c8e6cfefe0000", "T c #92659265fefe0000", "R c #bb17bb18feff0000", "E c #8c53fefb8c5c0000", "W c #af8efefeaf8e0000", "Q c #af56ff1bb22a0000", "! c #b98dfefeb98d0000", "~ c #fefe874887480000", "^ c #ffff9f5c8e1e0000", "/ c #fefe964d964d0000", "( c #fefe9a9c9a9c0000", ") c #fde1a109a2670000", "_ c #fbc9b826bc010000", "` c #ffffbab2b3910000", "' c #cc2eba08ff700000", "] c #fe66a5bafeeb0000", "[ c #c366fef1b3140000", "{ c #c695c695fefe0000", "} c #c8fec8fefefe0000", "| c #c850d110ff780000", " . c #dacfdacffefe0000", ".. c #cb83fefecb830000", "X. c #d81efefed81e0000", "o. c #da8aff17da8e0000", "O. c #fea2c96fc8a10000", "+. c #fefedbd6dbd60000", "@. c #fe48ffffd7080000", "#. c #e654fefee6540000", "$. c #fefaf06cf0700000", "%. c #ffcbf0d9fdde0000", "&. c #f5c9f5c9fefe0000", "*. c #f73afdb4fd7b0000", "=. c #fefef75cf75c0000", "-. c #fcccf898fac50000", ";. c #fed6feb9feb70000", ";.;.;.;.;.;.;.;.;.;.-.=.=.=.-.;.;.;.;.;.;.;.;.", ";.;.;.;.;.;.;.;.;.;.;.;.;.;.;.;.;.;.;.;.;.;.;.", ";.;.;.;.;.;.;.;.;.;.+.( n ( +.;.;.;.;.;.;.;.;.", ";.;.;.;.;.;.;.;.;.b s p p p s m ;.;.;.;.;.;.;.", ";.;.;.;.;.;.;.-.c p p p p p p p v ;.;.;.;.;.;.", ";.;.;.;.;.-.;.~ p p p p p p p p p / ;.-.;.;.;.", ";.;.;.;.;.;.$.f p p p p p p p p p h =.;.;.;.;.", ";.;.;.;.;.;._ p p p p p p p p p p p O.;.;.;.;.", ";.;.;.;.-.;.^ p p p p p p p p p p p ) ;.-.;.;.", ";.;.;.;.;.| M B V j d p p p a g x l ` ;.-.;.;.", ";.;.;.;.U Z S S A k p z K P P L 9 Q ;.;.;.", ";.;.;.Y = S S S D H P P P P q > > E ;.;.", "*.;. . o C S S ] @.P P P F , , > > W ;.", "&.;.; @ Z D %.;.I P J , > > > > 5 ;.", ";.;.$ + N *.*.G 0 , > > > > > > o.", ";.;.# & i i 7 > > > > > > > > W ", "*.;.- & u u 7 > > > > > > > > ! ", "&.;.T % u u 6 > > > > > > > < #.", ";.;.&.O X t y 1 > > > > > < > w ;.", ";.;.;.} . * 8 > < > > > < > 3 o.;.", ";.;.;.;.{ $ $ ' [ 2 > > > > > 3 ..;.;.", ";.;.;.;.;.;.R : : R ;.;.;.o.e 4 < 4 r #.;.;.;.", ";.;.;.;.;.;.;.;.;.;.;.;.;.;.;.*.#.;.;.;.;.;.;." ] rgb16 = [ "16 16 76 1", " c #01560165fef64048", ". c #0ed70f25fe590000", "X c #28e128e1fefe0000", "o c #06ae619cfbe30000", "O c #00007fc6fab60000", "+ c #69dc005cfbfa0000", "@ c #5346569ffef20000", "# c #62275eccfe640000", "$ c #6087607ffef40000", "% c #69667d4dfabbffff", "& c #0192fee801e7ffff", "* c #1c5cfefe1c5c0000", "= c #236cff72002b0000", "- c #2655fefe26550000", "; c #0614fbe761450000", ": c #0000fab67e310000", "> c #4236fe2703600000", ", c #4277fe3f3f5c0000", "< c #552dfef152f20000", "1 c #5fd6fefe5fd6dfdf", "2 c #6b9afefe6b9a0000", "3 c #744ffd547d650000", "4 c #06b6d838d82a0000", "5 c #00b9ff72ff860000", "6 c #717afa5a81ae4048", "7 c #fef6014101a80000", "8 c #ff2b09e5018f0000", "9 c #fefe0af30af3abac", "0 c #fefc0000378d2e42", "q c #fdfa2a4300000000", "w c #fe5826312b410000", "e c #fefe2c822c820000", "r c #ffff401b22c70000", "t c #fefe309830980000", "y c #ff43027d42080000", "u c #ffff00b851150000", "i c #ff36693400000000", "p c #fefe540254020000", "a c #fee37bc87a200000", "s c #a94f0000fed80000", "d c #fceb016cd5070000", "f c #e15301d2ffff0000", "g c #f8ac00c3ffff0000", "h c #fef20103fd940000", "j c #ffff3b7bfa680000", "k c #afdefbc60bd90000", "l c #faf1de1b03030000", "z c #f11cfda800870000", "x c #fffffecc012a0000", "c c #f9e5ffff0c990000", "v c #fffffbb553fc0000", "b c #a092a092fefe0000", "n c #a438a438fefe0000", "m c #aa46aa46fefe0000", "M c #b746b746fefe0000", "N c #9065fefe906c0000", "B c #9893fefe98930000", "V c #b42bfefeb42a0000", "C c #c08aff34c0690000", "Z c #a7befe60fea20000", "A c #fefeb5e0b5e00000", "S c #d377918acd300000", "D c #fb72a8f9de230000", "F c #dc66dc69fefe0000", "G c #d2fbfefed2fb0000", "H c #d30ce56ee5220000", "J c #ffffd295c67e0000", "K c #fefedd48dd480000", "L c #edd2edc2ff190000", "P c #ee6ffefeee6f0000", "I c #fefee6bee6be0000", "U c #fefeec81ec810000", "Y c #f88bf876ff300000", "T c #f793fefef7930000", "R c #fe6bf783fcf70000", #"E c #fed4fe9efea70000", "E c none", "EEEEEEREEEREEEEE", "EEEEEEEEKIEEEEEE", "EEEEEEAt79pIEEEE", "EEEEEA77777eUEEE", "EEEERw777777aERE", "EEEEJ7777777wTEE", "EEEESuy7778qrREE", "EEY@ fhd0ilxk3EE", "YE$ +hgDcxz=&&&&V", "Em %Z6=&&&&2", "EM O5:&&&&&1", "EL. o5;&&&&&B", "YEb 4&&&&&*P", "EEEnX .#H,&&&-GE", "EEEEEFLEEECNVTEE" ] eraseselect=[ "16 16 201 2", " c #03082B", ". c #153F20", "X c #3B3001", "o c #202424", "O c #003E50", "+ c #015605", "@ c #005D1E", "# c #144200", "$ c #184109", "% c #1F4800", "& c #00452C", "* c #016308", "= c #007928", "- c #2F4500", "; c #3D4600", ": c #00514E", "> c #006856", ", c #2B5C41", "< c #4E5F00", "1 c #426100", "2 c #627300", "3 c #2E16DC", "4 c #2D14FF", "5 c #2F19F3", "6 c #3D03FF", "7 c #3D05FF", "8 c #3E04FF", "9 c #3E06FF", "0 c #3A0AFF", "q c #3A0EFF", "w c #3D09FF", "e c #3E08FF", "r c #3E09FF", "t c #311EFF", "y c #2720FF", "u c #2C25F7", "i c #2923FF", "p c #2A23FF", "a c #2929FF", "s c #2338FB", "d c #2E36FB", "f c #3221FF", "g c #2F6682", "h c #1F5BEB", "j c #1857F2", "k c #167DDA", "l c #097AFF", "z c #0F7EFF", "x c #1569F6", "c c #1D60FF", "v c #2044FD", "b c #2547FF", "n c #204EFF", "m c #2B43F1", "M c #3A45E2", "N c #4000FF", "B c #4100FE", "V c #4100FF", "C c #4101FF", "Z c #4003FF", "A c #4300FC", "S c #4200FF", "D c #4300FF", "F c #470BF4", "G c #501CE0", "H c #5324DC", "J c #592ED3", "K c #5220E0", "L c #6036CA", "P c #437BC8", "I c #09BC0D", "U c #1BBD03", "Y c #19BD06", "T c #38A400", "R c #09947F", "E c #00BF51", "W c #20924F", "Q c #30916B", "! c #27B567", "~ c #04CB14", "^ c #11C712", "/ c #03CC22", "( c #01D030", ") c #05FF0D", "_ c #04F714", "` c #0EFF18", "' c #02FF27", "] c #06FF21", "[ c #0FFE35", "{ c #37CA00", "} c #23FF0C", "| c #2DFF00", " . c #32FF00", ".. c #3DFF09", "X. c #27FF21", "o. c #00C749", "O. c #00C95C", "+. c #00C268", "@. c #00FF4D", "#. c #00FF4F", "$. c #00F757", "%. c #00FF67", "&. c #00FF77", "*. c #2CDB60", "=. c #24DD7D", "-. c #2DD47C", ";. c #22FE5C", ":. c #4AAD00", ">. c #5ABE00", ",. c #5EBE00", "<. c #77A700", "1. c #7CB500", "2. c #5BA766", "3. c #69B166", "4. c #4DCD02", "5. c #45F800", "6. c #46FE1F", "7. c #51FF00", "8. c #72FF00", "9. c #5AE147", "0. c #4FE866", "q. c #0091A4", "w. c #0099B9", "e. c #1180A9", "r. c #00A192", "t. c #00B59A", "y. c #09BD98", "u. c #00B1A1", "i. c #00BAAF", "p. c #379490", "a. c #2EBA86", "s. c #2FBFB6", "d. c #0099C0", "f. c #1192CC", "g. c #0F97E3", "h. c #0097FF", "j. c #0995FF", "k. c #0997FF", "l. c #1B8AE6", "z. c #0BBADD", "x. c #14A0D6", "c. c #00ABE4", "v. c #00AEFF", "b. c #00B7FF", "n. c #00B9FE", "m. c #00B9FF", "M. c #34ABCC", "N. c #02CA87", "B. c #17C1B3", "V. c #00FF96", "C. c #00F89B", "Z. c #00FFA8", "A. c #00FFBD", "S. c #2ED7B6", "D. c #00C0FD", "F. c #00C5FF", "G. c #00CEFF", "H. c #00DFEF", "J. c #00D0F8", "K. c #00F7C4", "L. c #00FFCB", "P. c #00EEE6", "I. c #00E9FF", "U. c #00EDFF", "Y. c #00F2E8", "T. c #00FCE9", "R. c #25CADC", "E. c #2FD0C7", "W. c #85BE07", "Q. c #92B400", "!. c #A9AE00", "~. c #A3B900", "^. c #ABA75C", "/. c #B6B24E", "(. c #B3BB4F", "). c #B2B073", "_. c #BCBE7C", "`. c #82FE14", "'. c #85FF10", "]. c #AACD00", "[. c #ACF500", "{. c #B1FA00", "}. c #AEC37E", "|. c #C68600", " X c #CADC06", ".X c #C6C665", "XX c #CACA65", "oX c #888882", "OX c #84928E", "+X c #819C8D", "@X c #A09B9C", "#X c #AEAD8D", "$X c #AFAF8E", "%X c #B8B885", "&X c #A8A3A6", "*X c #A9A7A9", "=X c #BACE84", "-X c #C5C585", ";X c #F4F485", ":X c #FEFB84", ">X c #FFFD84", "B B B B B B B 0 a t B D B B B B ", "B B B B B 8 s x.N.y.l.v 6 B B B ", "B B B B u f.=.6.} ` [ B.M G K F ", "B B D d a.`.8. .] @.*.}.-X%XoXJ ", "B D 3 R W.].4.~ ( -.=X>X;XXX^.H ", "B 5 X 2 - + = , _.>X;X.X/.L B ", "D j o |.<.{ / W +X#X$X).(.P 8 B ", "0 g.. !.>.Y o.Q @X*X&XOXM.l 8 B ", "i t.$ Q.,.^ +.e.g S.E.R.m.j.r B ", "i ! - ~.:.^ +.q.d.P.I.F.b.j.r B ", "t 3.; 1.T I E r.u.i.w.m.v.n B B ", "4 2.< < # * @ & > : O c.h.f B B ", "6 p. X[.5._ $.C.K.Y.J.m.z q B B ", "6 h 9.[.7.) #.V.A.T.U.m.b D B B ", "B 8 k 0.`.| ' &.Z.L.P.j B B B B ", "B B r x S.;.5.X.%.z.m r B B B B " ] additionalselect = [ "16 16 16 1", " c #2F16FE", ". c #4200FE", "X c #4900FD", "o c #1A55FE", "O c #14FE10", "+ c #0FF765", "@ c #55FB11", "# c #66DC5A", "$ c #0FA1F4", "% c #0AE7A0", "& c #0BE6EF", "* c #25988D", "= c #ABF908", "- c #E9E402", "; c #EDAC2C", ": c #FCFEFD", "....... ......", "...... $++$ ....", ".... $+#@OO%o...", "..X %==::+++& ..", ".. %=-@::%%%& ..", ". *=-@O::%&&&o..", "Xo@;=@O::%&&&$..", ".$;::::::::::$..", " *;::::::::::$.X", " +--@O+::&&&$$..", " #--@O+::&&&&o..", ".*-=@O+::&&$$ ..", "X*-=@O+::&$&$...", "Xo@=@O+%&&&& ...", "..$#=OO+%%&o....", "...o&+@O+& ...." ] brushselect =[ "16 16 193 2", " c #000507", ". c #051B00", "X c #001B1E", "o c #001C1D", "O c #002704", "+ c #012B08", "@ c #00370F", "# c #002129", "$ c #002F33", "% c #343700", "& c #003747", "* c #084000", "= c #154C00", "- c #125401", "; c #00463B", ": c #00443F", "> c #004D34", ", c #066203", "< c #027B0B", "1 c #05780A", "2 c #196E00", "3 c #17691F", "4 c #00602F", "5 c #007F20", "6 c #007D31", "7 c #204E00", "8 c #004543", "9 c #00415E", "0 c #005844", "q c #005056", "w c #005650", "e c #005A56", "r c #004B7A", "t c #005367", "y c #007E4A", "u c #006A7D", "i c #007961", "p c #007C71", "a c #007E73", "s c #424900", "d c #424D00", "f c #2D14FF", "g c #3E02FF", "h c #3E05FF", "j c #3E06FF", "k c #3F06FF", "l c #3A0AFF", "z c #3A0EFF", "x c #3D09FF", "c c #3E08FF", "v c #3E09FF", "b c #311DFF", "n c #311EFF", "m c #2025C2", "M c #2720FF", "N c #2C27F7", "B c #2923FF", "V c #2A23FF", "C c #2D20FF", "Z c #2929FF", "A c #2B2CFA", "S c #253AFB", "D c #2D33FB", "F c #3222FF", "G c #322AF7", "H c #005A89", "J c #007BB3", "K c #1F5BEB", "L c #1C52FF", "P c #0878CC", "I c #167DDA", "U c #097AF0", "Y c #097DFF", "T c #0F7FFE", "R c #1569F5", "E c #1C65F5", "W c #1D60FF", "Q c #2243FD", "! c #2547FF", "~ c #2B43F2", "^ c #2052FF", "/ c #4100FF", "( c #4101FF", ") c #4002FF", "_ c #4003FF", "` c #4103FF", "' c #4200FF", "] c #4300FF", "[ c #009E3D", "{ c #01AB2C", "} c #249902", "| c #2A9700", " . c #338900", ".. c #3A8E14", "X. c #3E9800", "o. c #23BE04", "O. c #009648", "+. c #009E52", "@. c #01857D", "#. c #00B542", "$. c #00AD6F", "%. c #00BD61", "&. c #0BC40D", "*. c #06C51C", "=. c #0ED30E", "-. c #1EC106", ";. c #12C912", ":. c #08FF0D", ">. c #02FF27", ",. c #10FF36", "<. c #2EFF00", "1. c #3DFF09", "2. c #2CFF21", "3. c #00C95D", "4. c #00CC5A", "5. c #00C267", "6. c #00FF50", "7. c #00E476", "8. c #02FF66", "9. c #00FF75", "0. c #38C267", "q. c #22FE5F", "w. c #65AD66", "e. c #79BA66", "r. c #43E400", "t. c #53FF00", "y. c #70D13E", "u. c #6DFA00", "i. c #5AE147", "p. c #4FE865", "a. c #0082B9", "s. c #0094A5", "d. c #0092AF", "f. c #0098AB", "g. c #00B292", "h. c #00BB9A", "j. c #10BF9A", "k. c #00BCBD", "l. c #1CB1B0", "z. c #379490", "x. c #22BF85", "c. c #2FBE86", "v. c #129BD6", "b. c #0081E4", "n. c #0995FF", "m. c #099BFF", "M. c #1B8DE4", "N. c #1C9BE3", "B. c #00A3C4", "V. c #00B4C1", "C. c #0BBADC", "Z. c #00B5F9", "A. c #00B9FF", "S. c #00BEFA", "D. c #00C482", "F. c #02CF88", "G. c #00C690", "H. c #00C89F", "J. c #09C097", "K. c #00CFA2", "L. c #00C6BD", "P. c #00CCBE", "I. c #00DDB7", "U. c #00FF96", "Y. c #00FFA8", "T. c #00FFBD", "R. c #2ED7B6", "E. c #00CAC3", "W. c #00C1EE", "Q. c #00C8F9", "!. c #00DFEE", "~. c #00D1F6", "^. c #00FFCA", "/. c #00EDFE", "(. c #00F9EE", "). c #00FCE9", "_. c #807500", "`. c #83A200", "'. c #A48700", "]. c #B19809", "[. c #9BDE00", "{. c #85FF0F", "}. c #B2E300", "|. c #B5E013", " X c #B1FA00", ".X c #B3FF00", "XX c #BBF207", "oX c #DEB700", "OX c #D6A720", "+X c #EEB200", "@X c #CFE006", "#X c #F0D800", "$X c #E3EC00", "/ / / / / / ] l Z F / / / / / / ", "/ / / / / ` S v.F.J.M.Q / / / / ", "/ / / / N P @.3 o.=.,.I.L g / / ", "/ / / D c...= * 1 @ 5 7.W.n ] / ", "/ ] A x.XX`.} *.{ $.0 > u G ] / ", "/ C l.|.$Xu.- [ %.G.h.p m ` / ", "] E y.+X[.| + +.D.H.w o t U k / ", "l N.OX_.. , #.g.f.E.8 k.Q.Y k / ", "V j.].% .-.5.a.J P.; V.Z.n.v / ", "V 0.'.d X.;.3.s.B.L.q o H m.v / ", "M e.oXs 2 &.4.a $ e d.# r ^ / / ", "f w.#X}.7 O O.4 i : & 9 b.F ] / ", "/ z.@X.Xr.< 6 y K.(.~.S.T z / / ", "/ K i. Xt.:.6.U.T.)./.A.! ] / / ", "/ k I p.{.<.>.9.Y.^.!.W ` / / / ", "/ / v R R.q.1.2.8.C.~ v / / / / " ] image=[ "16 16 186 2", " c #271EFF", ". c #2D14FF", "X c #3E02FF", "o c #3E04FF", "O c #3E05FF", "+ c #3E06FF", "@ c #3A0AFF", "# c #3A0EFF", "$ c #3D09FF", "% c #3E08FF", "& c #3E09FF", "* c #311CFF", "= c #311EFF", "- c #2C25F7", "; c #2922FF", ": c #2A23FF", "> c #2D20FF", ", c #2929FF", "< c #2B2CFA", "1 c #2338FB", "2 c #2D33FB", "3 c #3221FF", "4 c #3230FF", "5 c #1F5CEB", "6 c #1C52FF", "7 c #1D5FFF", "8 c #167DDA", "9 c #097BFF", "0 c #0F7EFF", "q c #1567F5", "w c #1C65F5", "e c #2242FD", "r c #2547FF", "t c #204EFF", "y c #2B43F2", "u c #2058FF", "i c #4100FF", "p c #4101FF", "a c #4002FF", "s c #4003FF", "d c #4200FF", "f c #4300FF", "g c #36BC67", "h c #05FF0D", "j c #0AFF07", "k c #04FF14", "l c #04FF1F", "z c #0CFF17", "x c #0EFF17", "c c #14FF08", "v c #1CFF0B", "b c #1EFF0D", "n c #13FF1B", "m c #02FF27", "M c #06FF20", "N c #08FF2A", "B c #10FF34", "V c #23FF0C", "C c #2DFF00", "Z c #32FF00", "A c #3DFF01", "S c #3EFF09", "D c #2AFF21", "F c #00FF44", "G c #01FF47", "H c #00FF4D", "J c #00FF4F", "K c #00FE5B", "L c #00FF5A", "P c #01FF5C", "I c #00FF66", "U c #00FF69", "Y c #00FA77", "T c #00FF73", "R c #00FF75", "E c #00F97B", "W c #24DD7D", "Q c #22FE5F", "! c #65AE66", "~ c #77B966", "^ c #47FF00", "/ c #46FE1F", "( c #51FF00", ") c #53FF03", "_ c #57FF00", "` c #5AFF00", "' c #6FD03E", "] c #60FF00", "[ c #6FFF00", "{ c #72FF00", "} c #77FF00", "| c #5ADF47", " . c #4FE865", ".. c #09BD96", "X. c #0EBC98", "o. c #1CB1B0", "O. c #379490", "+. c #20BF85", "@. c #2BB786", "#. c #1192CC", "$. c #0988FF", "%. c #0095FF", "&. c #0997FF", "*. c #0998FF", "=. c #1B8AE4", "-. c #1C9BE1", ";. c #0BBADC", ":. c #14A0D6", ">. c #00AEFF", ",. c #00B7F9", "<. c #00B7FE", "1. c #00B9FF", "2. c #00BFFF", "3. c #02CA87", "4. c #00DDB6", "5. c #00FF83", "6. c #00FF85", "7. c #00FF93", "8. c #00FF95", "9. c #00FF99", "0. c #00FF9B", "q. c #00FF9F", "w. c #00FFA7", "e. c #00FEAB", "r. c #00FEAC", "t. c #00FFB6", "y. c #00FFB8", "u. c #2ED5B6", "i. c #00C1F0", "p. c #00C1FF", "a. c #00C6FF", "s. c #00CCF6", "d. c #00C8FE", "f. c #00DCEE", "g. c #00D1FD", "h. c #00D0FF", "j. c #00D3FF", "k. c #00D5FD", "l. c #00DEF7", "z. c #00D8FF", "x. c #00DEF8", "c. c #00DEFD", "v. c #00EBCB", "b. c #00F8C3", "n. c #00FFC3", "m. c #00FFC6", "M. c #00FFC7", "N. c #00FAC9", "B. c #00F8DE", "V. c #00EFEF", "C. c #00E7FD", "Z. c #00E9F9", "A. c #00E9FE", "S. c #00EFF8", "D. c #00ECFE", "F. c #00EFFC", "G. c #00F4E5", "H. c #00FCE7", "J. c #00F9EF", "K. c #00FBEF", "L. c #00F7F5", "P. c #00FAF0", "I. c #00FBF2", "U. c #00F8F5", "Y. c #80FF00", "T. c #85FF0F", "R. c #81FE14", "E. c #ABF900", "W. c #B6ED07", "Q. c #B4E013", "!. c #B1F700", "~. c #B2FD00", "^. c #BFF600", "/. c #BCFD00", "(. c #D0A11F", "). c #D6BE09", "_. c #CFE006", "`. c #C6FE00", "'. c #D5FC00", "]. c #DDF400", "[. c #E8C400", "{. c #EDD700", "}. c #FDC100", "|. c #F9CC00", " X c #E2EA00", ".X c #F0F100", "i i i i i i f @ , = f i i i i i ", "i i i i i o 1 :.3...=.e i i i i ", "i i i i - #.W / V x B 4.6 i i i ", "i i f 2 @.R.{ Z M H K 6.i.= f i ", "i f < +.W.`.) l F 7.q.e.l.4 i i ", "f > o.Q. X{ c F 6.t.N.V.A.u i i ", "f w ' }.E.A N T e.n.B.z.z.$.o i ", "@ -.(..XY.b K v.x.I.L.F.d.9 + i ", ": X.).'.} v E ,.<.J.J.A.<.*.s s ", ": g [.].] n Y s.g.I.Z.g.<.*.s f ", " ~ |.^.` x U b.G.U.z.d.<.t + f ", ". ! {./._ j K 0.n.U.g.2.%.3 f f ", "i O._.~.^ k K 0.n.J.k.2.0 # f i ", "i 5 | !.) h H 8.y.H.D.<.r f i i ", "i o 8 .T.C N T e.M.f.w i i f i ", "i i & q u.Q S D I ;.y & i i i i " ] boxselect = [ "16 16 191 2", " c #073A04", ". c #093600", "X c #1E3800", "o c #002338", "O c #003627", "+ c #003A28", "@ c #003736", "# c #3E2900", "$ c #003A45", "% c #004514", "& c #004524", "* c #006803", "= c #016E1C", "- c #00780B", "; c #007A2F", ": c #284400", "> c #2B5D00", ", c #3F4D00", "< c #206400", "1 c #3C6600", "2 c #004C53", "3 c #004B5D", "4 c #004D63", "5 c #005C66", "6 c #005D68", "7 c #007B4A", "8 c #007F49", "9 c #007B59", "0 c #006A68", "q c #006C77", "w c #007F64", "e c #007B70", "r c #2D13FF", "t c #3E02FF", "y c #3E04FF", "u c #3E05FF", "i c #3E06FF", "p c #3A0AFF", "a c #3A0EFF", "s c #3D09FF", "d c #3E08FF", "f c #3E09FF", "g c #311CFF", "h c #311EFF", "j c #2720FF", "k c #2C25F7", "l c #2923FF", "z c #2A23FF", "x c #2D20FF", "c c #2929FF", "v c #2B2CFA", "b c #2338FB", "n c #2D33FB", "m c #3221FF", "M c #3230FF", "N c #007095", "B c #1F5CEB", "V c #1C52FF", "C c #1D5FFF", "Z c #167DDA", "A c #097CFF", "S c #0F7CFC", "D c #1569F5", "F c #1C65F5", "G c #2242FD", "H c #2547FF", "J c #204EFF", "K c #2B43F1", "L c #2058FF", "P c #4100FF", "I c #4101FF", "U c #4002FF", "Y c #4003FF", "T c #4200FF", "R c #4300FF", "E c #00A50B", "W c #09BE13", "Q c #1AB303", "! c #2E9500", "~ c #28BF00", "^ c #00A849", "/ c #00BD48", "( c #36BD67", ") c #07C00D", "_ c #04CE15", "` c #01CE2F", "' c #09C925", "] c #05FF0D", "[ c #0EFF17", "{ c #02FF27", "} c #06FF21", "| c #10FF34", " . c #23FF0C", ".. c #2DFF00", "X. c #32FF00", "o. c #3EFF09", "O. c #2AFF21", "+. c #00C45B", "@. c #00CC50", "#. c #00CE59", "$. c #00CF72", "%. c #00CE7D", "&. c #00FF50", "*. c #00FF51", "=. c #00FF5C", "-. c #00FF66", ";. c #00FF75", ":. c #24DD7D", ">. c #22FE5F", ",. c #65AE66", "<. c #77BA66", "1. c #4DCF02", "2. c #46FE1F", "3. c #53FF00", "4. c #6FD03E", "5. c #72FF00", "6. c #5ADF47", "7. c #4FE865", "8. c #009E9C", "9. c #0097AB", "0. c #0091BC", "q. c #0098BE", "w. c #00A19C", "e. c #00BA86", "r. c #09BD96", "t. c #0EBC9A", "y. c #1FBE85", "u. c #00A8A3", "i. c #00A9B1", "p. c #00ADB9", "a. c #00BCA0", "s. c #00BAA8", "d. c #00BCB7", "f. c #1CB1B0", "g. c #379490", "h. c #2DB986", "j. c #009FC4", "k. c #1192CC", "l. c #0988FF", "z. c #0091F9", "x. c #0997FF", "c. c #0998FF", "v. c #1B8AE4", "b. c #1C9BE3", "n. c #00A0C0", "m. c #0BBADB", "M. c #14A0D6", "N. c #00A8F7", "B. c #00B3F7", "V. c #00B2F8", "C. c #00BFF6", "Z. c #00BCFF", "A. c #02CA87", "S. c #00CF87", "D. c #00C99A", "F. c #00DA8D", "G. c #00C7BA", "H. c #00DDB6", "J. c #00FF88", "K. c #00FF99", "L. c #00FFA6", "P. c #2ED7B6", "I. c #00C7C2", "U. c #00C1F0", "Y. c #00DCED", "T. c #00D1F8", "R. c #00DDF6", "E. c #00FFC0", "W. c #00FFC8", "Q. c #00E2F8", "!. c #00ECFF", "~. c #00FCED", "^. c #94CC07", "/. c #85FF0F", "(. c #82FE14", "). c #ABCD00", "_. c #AEDB13", "`. c #BCEE00", "'. c #B1F700", "]. c #B1FB00", "[. c #BAF800", "{. c #D6BE09", "}. c #D0A120", "|. c #F8B700", " X c #CFE006", ".X c #DBEA00", "XX c #D2F600", "oX c #E8C300", "OX c #EDD700", "+X c #F9CC00", "@X c #EDE900", "P P P P P P P p c h R R P P P P ", "P P P P P y b M.A.r.v.G P P P P ", "P P P P k k.:.2. .[ | H.V P P P ", "P P R n h.(.5.X.} &.=.J.U.h R P ", "P R v h.^.).1._ ` $.S.F.R.M R P ", "R x f._.# % & + O @ Q.C P P ", "R F 4.|., ~ ' #.S.D.r.2 T.l.u P ", "p b.}.@X1 Q / 8.9.d.i.5 C.A u P ", "z t.{.XX: E ^ 0.0.u.w.$ V.x.f P ", "z ( oX.X> W +.j.j.G.p.3 B.x.f P ", "h <.+X`.< W @.e.s.I.j.4 N.J P P ", "r ,.OX[.X * = 7 w 0 5 o z.m P P ", "t g. X'.! - ; 7 9 e q N S a P P ", "t B 6.'.3.] *.K.L.~.!.Z.H R P P ", "P y Z 7.(.X.{ ;.L.W.Y.C u P P P ", "P P p D P.>.o.O.;.m.K d R R P P "] brush=[ "16 16 73 1", " c #0B0B00", ". c #0F0F06", "X c #101000", "o c #111100", "O c #121200", "+ c #373737", "@ c #51510D", "# c #52520D", "$ c #53530D", "% c #4D4D37", "& c #4E4E37", "* c #4F4F39", "= c #5A5A2B", "- c #616104", "; c #666611", ": c #727207", "> c #616122", ", c #444445", "< c #464646", "1 c #4A4A4A", "2 c #4D4D4D", "3 c #515151", "4 c #5C5C5C", "5 c #676744", "6 c #616162", "7 c #6E6E6E", "8 c #737373", "9 c #757575", "0 c #7C7C71", "q c #7B7B7B", "w c #9E9E00", "e c #ADAD00", "r c #B2B200", "t c #B5B500", "y c #888884", "u c #8B8B8C", "i c #8D8D8E", "p c #8D8D8F", "a c #8E8E90", "s c #949498", "d c #9A9A9A", "f c #9C9C9C", "g c #9F9F9F", "h c #A2A2A3", "j c #A6A6A7", "k c #AAAAAF", "l c #ADADB1", "z c #AEAEB1", "x c #B3B3B3", "c c #B5B5B5", "v c #B5B5B6", "b c #B8B8B8", "n c #B9B9B9", "m c #BABABA", "M c #B9B9BC", "N c #BCBCBC", "B c #C1C1C1", "V c #C2C2C2", "C c #C2C2C3", "Z c #C4C4C4", "A c #C4C4C5", "S c #C5C5C5", "D c #C5C5C6", #"F c #C6C6C6", "F c none", "G c #C7C7C7", "H c #C6C6C8", "J c #C8C8C8", "K c #C9C9C9", "L c #CACACA", "P c #CDCDCD", "I c #D2D2D2", "U c #D3D3D3", "Y c #E1E1E1", "FFFFFFFFFFFFFFFF", "FFFFFFFKDFFFFFFF", "FFFFFFBsvKFFFFFF", "FFFFFF0-5MDFFFFF", "FFFFFF*r$kFFFFFF", "FFFFFF*e#kDFFFFF", "FFFFFD*e#lKFFFFF", "FFFFDj>t:yDFFFFF", "FFFFl=wre;pKFFFF", "FFFKh.ooo 7LFFFF", "FFFGh,apa67LFFFF", "FFFKd9LIYc7LFFFF", "FFFKf9bBIc7LFFFF", "FFFC4+123 c #521d10", ", c #4c2413", "< c #532412", "1 c #592215", "2 c #5b311c", "3 c #5d3b1b", "4 c #622a13", "5 c #662f19", "6 c #693114", "7 c #6b3118", "8 c #6d3e18", "9 c #7f3c14", "0 c #624423", "q c #6a4423", "w c #694822", "e c #734b28", "r c #7b4730", "t c #7c512b", "y c #7c5f2d", "u c #555555", "i c #006286", "p c #00709f", "a c #0097c3", "s c #05aada", "d c #60b2d0", "f c #803f1f", "g c #8b461c", "h c #815134", "j c #9a4c29", "k c #975326", "l c #97532a", "z c #925531", "x c #8c7233", "c c #916c36", "v c #90762f", "b c #957530", "n c #967933", "m c #9a7a35", "M c #a05117", "N c #b7621e", "B c #ab6532", "V c #a86f31", "C c #b86325", "Z c #bf7c2c", "A c #a9704a", "S c #b6784b", "D c #bb774a", "F c #cf7616", "G c #d47315", "H c #c47222", "J c #ce7c25", "K c #a28a3e", "L c #a88d3b", "P c #b09039", "I c #bd9b3e", "U c #9e8641", "Y c #9e8c45", "T c #a58740", "R c #a78f46", "E c #a59444", "W c #a3944c", "Q c #a5994c", "! c #af9b4b", "~ c #ab9a51", "^ c #b29441", "/ c #b3964a", "( c #b09f4f", ") c #bf9b44", "_ c #bb984c", "` c #b1a155", "' c #b8a453", "] c #bfab5a", "[ c #c68239", "{ c #ce8733", "} c #d49139", "| c #e38c38", " . c #e39734", ".. c #e39c36", "X. c #c59c4e", "o. c #d78d44", "O. c #d4894d", "+. c #d48e5b", "@. c #d5944e", "#. c #c5a14a", "$. c #c0ab59", "%. c #cca552", "&. c #e6a251", "*. c #eca45d", "=. c #e1b452", "-. c #e9b252", ";. c #eaa663", ":. c #e9b461", ">. c #edb963", ",. c #808080", "<. c #96d7e9", "1. c #a2e0f1", "2. c #c3c3c3", "3. c #fffedd", "4. c #fffee3", "5. c #fffeeb", "6. c #fefef3", "7. c #fefefd", " ", " m v n x n R ~ K T E Q Y Y W ", " P P L T e , @ ; 0 K ~ E E ~ ", " I X._ 2 6 7 - o o , / ` ! ` ", " #.%.c Z :.>.O.> . . 0 $.$.$. ", " %.%.5 &.:.>.;.A & o o U ' ' ", " =.V 4 H ..F C N > O X 0 ` ` ", " X.t 1 9 B j z g : + X , E E ", " 8 2 7 } .G -.| i i i i i i ", " < = 1 *.} M *.S i 7.<.1.<.d ", " < = = D H f +.z i 2.A s a p ", " 3 , = 1 J H k > i u u i i # ", " y 3 * + = 1 & & i 7.7.7.5.5. ", " x w * & X h h r i 7.6.5.5.3. ", " 3 , * ; 4 [ @.{ 7.6.5.4.3. ", " " ] gioconda16mirror=[ "16 16 118 2", " c #000000", ". c #330b0e", "X c #390d0e", "o c #330b11", "O c #3e0d12", "+ c #3d120c", "@ c #3a1211", "# c #005072", "$ c #005a7f", "% c #450f0e", "& c #43150d", "* c #461d0d", "= c #49180d", "- c #421510", "; c #461c12", ": c #57190b", "> c #521d10", ", c #4c2413", "< c #532412", "1 c #592215", "2 c #5b311c", "3 c #5d3b1b", "4 c #622a13", "5 c #662f19", "6 c #693114", "7 c #6b3118", "8 c #6d3e18", "9 c #7f3c14", "0 c #624423", "q c #6a4423", "w c #694822", "e c #734b28", "r c #7b4730", "t c #7c512b", "y c #7c5f2d", "u c #555555", "i c #006286", "p c #00709f", "a c #0097c3", "s c #05aada", "d c #60b2d0", "f c #803f1f", "g c #8b461c", "h c #815134", "j c #9a4c29", "k c #975326", "l c #97532a", "z c #925531", "x c #8c7233", "c c #916c36", "v c #90762f", "b c #957530", "n c #967933", "m c #9a7a35", "M c #a05117", "N c #b7621e", "B c #ab6532", "V c #a86f31", "C c #b86325", "Z c #bf7c2c", "A c #a9704a", "S c #b6784b", "D c #bb774a", "F c #cf7616", "G c #d47315", "H c #c47222", "J c #ce7c25", "K c #a28a3e", "L c #a88d3b", "P c #b09039", "I c #bd9b3e", "U c #9e8641", "Y c #9e8c45", "T c #a58740", "R c #a78f46", "E c #a59444", "W c #a3944c", "Q c #a5994c", "! c #af9b4b", "~ c #ab9a51", "^ c #b29441", "/ c #b3964a", "( c #b09f4f", ") c #bf9b44", "_ c #bb984c", "` c #b1a155", "' c #b8a453", "] c #bfab5a", "[ c #c68239", "{ c #ce8733", "} c #d49139", "| c #e38c38", " . c #e39734", ".. c #e39c36", "X. c #c59c4e", "o. c #d78d44", "O. c #d4894d", "+. c #d48e5b", "@. c #d5944e", "#. c #c5a14a", "$. c #c0ab59", "%. c #cca552", "&. c #e6a251", "*. c #eca45d", "=. c #e1b452", "-. c #e9b252", ";. c #eaa663", ":. c #e9b461", ">. c #edb963", ",. c #808080", "<. c #96d7e9", "1. c #a2e0f1", "2. c #c3c3c3", "3. c #fffedd", "4. c #fffee3", "5. c #fffeeb", "6. c #fefef3", "7. c #fefefd", " ", " 3 , * ; 4 [ @.{ 7.6.5.4.3. ", " x w * & X h h r i 7.6.5.5.3. ", " y 3 * + = 1 & & i 7.7.7.5.5. ", " 3 , = 1 J H k > i u u i i # ", " < = = D H f +.z i 2.A s a p ", " < = 1 *.} M *.S i 7.<.1.<.d ", " 8 2 7 } .G -.| i i i i i i ", " X.t 1 9 B j z g : + X , E E ", " =.V 4 H ..F C N > O X 0 ` ` ", " %.%.5 &.:.>.;.A & o o U ' ' ", " #.%.c Z :.>.O.> . . 0 $.$.$. ", " I X._ 2 6 7 - o o , / ` ! ` ", " P P L T e , @ ; 0 K ~ E E ~ ", " m v n x n R ~ K T E Q Y Y W ", " " ] energy = [ "16 16 3 1", " c blue", ". c white", "X c None", "XXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXX", "XXXXX XXXXX", "XXXXX XXXXXXXXXX", "XXXXX XXXXXXXXXX", "XXXXX XXXXXXXXXX", "XXXXX XXXXXXXXXX", "XXXXX XXXXXX", "XXXXX XXXXXXXXXX", "XXXXX XXXXXXXXXX", "XXXXX XXXXXXXXXX", "XXXXX XXXXXXXXXX", "XXXXX XXXXX", "XXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXX" ] colormap16=[ "16 16 22 1", " c #000000", ". c #303030", "X c #004040", "o c #404000", "O c #000080", "+ c #008000", "@ c #00c000", "# c #008080", "$ c #00c0c0", "% c #c00000", "& c #c05800", "* c #ffa858", "= c #808080", "- c #a0a0a0", "; c #8080ff", ": c #ffdca8", "> c #c3c3c3", ", c #dcdcdc", "< c #c0c0ff", "1 c #c0ffc0", "2 c #c0ffff", "3 c None", #"3 c #ffffff", #/* pixels */ "333 33333333333", "33 3, 33333 333", "3 3,, 3333 ,> 33", " 3,3,3 33 ,,>> 3", " ,, > 33 ,>>, 3", " , 33 , 3 >;;O> ", " , 33 ,, ,>; ", " ,, o,,,,,>OOO> ", " ,,,,,,,,,,>>>> ", " ,,**&,,,,$$#> 3", " ,,*:&>-->$2#> 3", " >,&&%@@+-##X= 3", "3 ,,>@1+=>-- 33", "33 ,>>+++=,> 333", "333. ,,>-> 333", "33333 333333" ] MINEcolormap16 = [ "22 16 12 1", " c black", ". c navy", "X c blue", "o c #000080800000", "O c green", "+ c #000080808080", "@ c #808000000000", "# c red", "$ c yellow", "% c #808080808080", "& c #C0C0C0C0C0C0", #"* c gray100", "* c None", "**********************", "***&&&*********&&&&***", "**&*&&&********&&&&&**", "*&& ***&&****&&&&&O&&*", "*&* *** &&**&&&+OOO+&*", "*&&& ** &&&&&&&oOOO+&*", "*&&&& %&&&&&&&&&o++&&*", "**&&&&&&&&&&&&&&&&&&&*", "**&&&&%&&&&&&&&&XXX&&*", "**&&&#@#&&&&&&&.XXX.&*", "**&&@###&&%%%&&.XX.&**", "***&@##@&%$$$%&.X..&**", "***&%@@@&+$$$%&...&***", "****&&@&&+$$+%&&&&&***", "*****&&&&&ooo%&&&&****", "******&&&&&&&&&&******" ] colormap = colormap16 MINEcolormap = [ "16 16 157 2", " c black", ". c #32a230b6261c0000", "X c #2dd072373a280000", "o c #1b7a5e8a7e3e0000", "O c #0869714c720a0000", "+ c #44b0439e3f120000", "@ c #4d9943ac32ec0000", "# c #43d6445646fe0000", "$ c #4cd049da43d20000", "% c #4d8d4dca4d740000", "& c #50b84dd34c760000", "* c #5730550c4ba70000", "= c #572159e84b700000", "- c #5f1f5a5f46520000", "; c #562e53ea50ee0000", ": c #590f5766534b0000", "> c #5e475c7b59330000", ", c #5f745f9161d00000", "< c #62755e9d57b00000", "1 c #67086468556f0000", "2 c #643c636a5ce40000", "3 c #6bed68bf5bd60000", "4 c #728d6e1157d60000", "5 c #7028705770b60000", "6 c #737173a661300000", "7 c #737276576d9e0000", "8 c #7f857d106e1f0000", "9 c #77c4780f79440000", "0 c #7ce87cbd7b8f0000", "q c #05d573daadaa0000", "w c #54497b7b87e30000", "e c #39498f5045650000", "r c #500a9b725bac0000", "t c #5de187637ab20000", "y c #5cc2ac8864db0000", "u c #6e0f80fe6cd70000", "i c #6aa598bc62350000", "p c #6c7fb13f6fbb0000", "a c #1b70843fb5fd0000", "s c #33d39b4c9bdd0000", "d c #5990b350ac230000", "f c #61c7a2559a560000", "g c #74fea34891de0000", "h c #712bacd8bdfa0000", "j c #4c169fe6c1910000", "k c #7ffbb5dcc8ba0000", "l c #7631ce79cde30000", "z c #70c3cf69d1f90000", "x c #64cec217e82c0000", "c c #99d4133821f90000", "v c #87097e866f430000", "b c #a7b15b945a4e0000", "n c #c11e31ff3ea00000", "m c #cb363b2547800000", "M c #c2185dd763f70000", "N c #d89a60e866aa0000", "B c #e8ee5d0166230000", "V c #ed436e8875310000", "C c #86e381036d780000", "Z c #8a91814f70620000", "A c #887d859c73a20000", "S c #8e88843072ea0000", "D c #8d9b896e71b70000", "F c #8d1d959373fe0000", "G c #8ad89a61750c0000", "H c #940b83c06c6f0000", "J c #95478e1973fa0000", "K c #9fff80ad71230000", "L c #9551926a7af20000", "P c #9ce295857b390000", "I c #96fea16f78380000", "U c #b53d91177e3a0000", "Y c #8346833084190000", "T c #8ba28be48caf0000", "R c #9769946b8ba00000", "E c #9e9f9ae68c7e0000", "W c #94249411937e0000", "Q c #943ca01196c10000", "! c #9b7a9a0a96e00000", "~ c #9e1d9cd99c310000", "^ c #90c5acc6ab4e0000", "/ c #a0f29e208ed20000", "( c #a809a5398b520000", ") c #a632a2ab96640000", "_ c #a990a4c393650000", "` c #ae38b78093ba0000", "' c #b8ebad728ccf0000", "] c #b8edc05f9e730000", "[ c #ae65adfda2820000", "{ c #ab45ab14af050000", "} c #b439b6e5aa700000", "| c #bbb7b6d2aac20000", " . c #bd52bba3a6820000", ".. c #8ecec76694970000", "X. c #96aac4b6971a0000", "o. c #8b55c1c7ad490000", "O. c #892ec4ccb7af0000", "+. c #ac2cc2449bcc0000", "@. c #bc27c4caa3c10000", "#. c #b116c0e6b4190000", "$. c #bac9ef72b5220000", "%. c #83abd0e3f1770000", "&. c #c634984784310000", "*. c #db719fcb954a0000", "=. c #c159a96a8e280000", "-. c #c496b7829dac0000", ";. c #c5c4bbb7995f0000", ":. c #d8a5aa7e9c680000", ">. c #e4ffa5249a800000", ",. c #f6fdbc65b0b70000", "<. c #ca38c6a49d940000", "1. c #ce6bc815a7e80000", "2. c #cf0dc834ae850000", "3. c #c890c58ebf790000", "4. c #c564cc1cb2730000", "5. c #cfcfd972baff0000", "6. c #d66eca1da5130000", "7. c #da30cf78a97b0000", "8. c #d19ece63b8ac0000", "9. c #df6bd3e3af430000", "0. c #d754d705c0800000", "q. c #dabbd7b6c0540000", "w. c #e354cdd1a97f0000", "e. c #eaadd985afbb0000", "r. c #e517d6feba720000", "t. c #e3ecd8febb540000", "y. c #ed62d85ac08f0000", "u. c #c498c4c4c7500000", "i. c #cd3acdc3cf4a0000", "p. c #d7e8d692cc140000", "a. c #d511de75c37b0000", "s. c #df34d9e6c5190000", "d. c #e0aae0d5ca4a0000", "f. c #d629d578d6c00000", "g. c #dd7adce6dd6b0000", "h. c #e069e0e3e30e0000", "j. c #e3a6dc2dc7160000", "k. c #e7b1dd12cada0000", "l. c #eed2e041cf3f0000", "z. c #e3e1e2dbcc030000", "x. c #e743e4a7d8b20000", "c. c #eaa4e350d3e60000", "v. c #eb49e9a4d33b0000", "b. c #f968eb0cc8730000", "n. c #f622ecbbd45e0000", "m. c #f6edf0d3dd2c0000", "M. c #f7b2f2bddce30000", "N. c #fbf0f55cdb450000", "B. c #e7ace818e9910000", "V. c #e83fe902ea1a0000", "C. c #efffeba9e2bc0000", "Z. c #ec97ed28ed8b0000", "A. c #fa34f631eddf0000", "S. c #f6d9f74df80b0000", "D. c #f8e3f98ffa600000", "F. c #fefafef9fef30000", "G. c None", "G.F.D.G.F.G.D.F.G.F.G.D.F.G.D.F.", "G.F.G.T % W G.F.F.G.F.F.B.h.S.F.", "F.G.5 ! A.[ ! G.F.F.G.u.+ . 0 G.", "G.W ~ F.C.F.% g.F.G.i.: t.b.4 Y ", "Z., x.3 + 2.p.% G.G.T S d. .w.% ", " 3.R T G.* 8.2 i.V.$ v.k j #.C ", " | E 9 G.Y A N.< % -.h %.x a L ", " ) N.1 { Y E M.q. .n.^ a q o D ", " / M.c.7 } M.s.d.z.q.r.Q w ( J ", " _ n.z.,.>.d.k.l.k.j.0.o.@.e.J ", "# 8 v.:.N m *.a.+.4.y.O.z d ] S ", "G.& 5.M V B b X...p ` f l s u < ", "G.g.6 &.n c K r $.y I g O t @ i.", "D.G.i.= =.U 1.i e X F 6.;.H ; D.", "G.F.G.u.6 <.7.9.G G ;.' - ; Z.G.", "F.G.F.G.f.> v J P J Z > i.S.F.F."] yauto =[ "16 16 3 1", " c black", ". c #0000ff", "X c none", "XXXXXXXXXXXXXXXX", "XX.XXXXXXXXXXXXX", "X...XXXXXXXXXXXX", ".....XXXXXXXXXXX", "XX.XXXXXXXXXXXXX", "XX.XXX XXXXX XXX", "XX.XXXX XXX XXXX", "XX.XXXXX X XXXXX", "XX.XXXXXX XXXXXX", "XX.XXXXX XXXXXXX", "XX.XXXX XXXXXXXX", "XX.XXX XXXXXXXXX", ".....XXXXXXXXXXX", "X...XXXXXXXXXXXX", "XX.XXXXXXXXXXXXX", "XXXXXXXXXXXXXXXX" ] xauto =[ "16 16 3 1", " c black", ". c #0000ff", "X c none", "XXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXX", "XXXXX XXXXX XXXX", "XXXXXX XXX XXXXX", "XXXXXXX X XXXXXX", "XXXXXXXX XXXXXXX", "XXXXXXX X XXXXXX", "XXXXXX XXX XXXXX", "XXXXX XXXXX XXXX", "XXXXXXXXXXXXXXXX", "XXX.XXXXXXXX.XXX", "XX..XXXXXXXX..XX", "X..............X", "XX..XXXXXXXX..XX", "XXX.XXXXXXXX.XXX" ] close = [ "16 16 18 1", ". c None", "d c #000000", "c c #080808", "k c #080c08", "b c #181818", "a c #212021", "# c #212421", "j c #292829", "e c #313031", "f c #393839", "i c #424542", "m c #525152", "h c #525552", "g c #5a595a", "l c #636163", "p c #6b696b", "n c #7b797b", "o c #ffffff", "................", "................", "......#abcd.....", "....efghijkdd...", "...elmgnliaddd..", "...fmoopnhoodd..", "..#ggooogoooddd.", "..ahnpooooocddd.", "..bilngoooadddd.", "..cjihooooodddd.", "..dkaoooaoooddd.", "...ddoocddoodd..", "...ddddddddddd..", "....ddddddddd...", "......ddddd.....", "................" ] fileclose = [ "16 16 14 1", " c black", ". c #0b0b0b", "X c #181818", "o c #222222", "O c gray17", "+ c gray19", "@ c gray23", "# c #444444", "$ c #535353", "% c None", "& c gray38", "* c #686868", "= c gray47", "- c white", "%%%%%%%%%%%%%%%%", "%%%%%%%%%%%%%%%%", "%%%%%%ooX. %%%%%", "%%%%+@%$#O. %%%", "%%%+&$%=&#o %%", "%%%@$--*=$-- %%", "%%o%%---%--- %", "%%o$=*-----. %", "%%X#&=%---o %", #"%%.O#$--- %", "%%.O#$--- %", "%% .o---o--- %", "%%% --. -- %%", "%%% %%", "%%%% %%%", "%%%%%% %%%%%", "%%%%%%%%%%%%%%%%" ] fileopen = [ "16 16 39 1", " c black", ". c gray4", "X c gray7", "o c #1f1f1e", "O c #222222", "+ c #323231", "@ c #4b3119", "# c #434343", "$ c #4a4a49", "% c #524f4c", "& c #54514e", "* c #565350", "= c #5c5a57", "- c #686867", "; c #6f6f6e", ": c #b77d44", "> c #c4864e", ", c #e5a566", "< c #f8ac62", "1 c #8d8d8b", "2 c #949493", "3 c #9c9c9b", "4 c #a0a09f", "5 c #a4a4a3", "6 c #adadab", "7 c #b5b5b5", "8 c #bcbcbc", "9 c #fec383", "0 c #fec88a", "q c #fed39a", "w c #c4c4c3", "e c #cccccc", "r c #d4d4d3", "t c #dddddc", "y c #e4e4e3", "u c #e8e8e7", "i c #ececec", "p c gray96", "a c None", "aaaaaa aaaaaa", "aaaaa a a aa", "aaaa aaaaa aa", "aaaaaaaaaaa aa", "aaaaaaaaaa aa", "a aaaaaaaaaaa", " ,q9, aaaa", " q99<<<<<<<< aaa", " 09@&&&=&&**& ", " 9>%ppiytrew877+", " 9@ttuytrw8642$a", " :&ttytrew764-Oa", " @eerrrew8652$aa", " *e8www87653;Xaa", ".85666655321$aaa", "O$$$$$$$###+oaaa" ] fileprint = [ "16 16 37 1", " c black", ". c gray19", "X c gray22", "o c #4f4928", "O c #574934", "+ c #444444", "@ c #585858", "# c #646464", "$ c gray", "% c lime", "& c #b7996e", "* c #b9b24a", "= c #838383", "- c #8c8c8c", "; c #939393", ": c #9d9d9d", "> c #a1a1a1", ", c #b7b7b7", "< c #dfc097", "1 c #e8c08d", "2 c #e4cba9", "3 c #e7d3b9", "4 c #c3c3c3", "5 c #cacaca", "6 c gainsboro", "7 c #e9d9c5", "8 c #ecdfcc", "9 c #eee4d5", "0 c #f0e6d8", "q c gray89", "w c #f3ede4", "e c #f4eee8", "r c #f5f1eb", "t c #f7f6f4", "y c #f8f7f6", "u c #fdfdfd", "i c None", "iiiiiiiiO iiiii", "iiiiiiiOuu4O iii", "iiiiii wtytu8O i", "iiiiiiOtyytrw8< ", "iiii wtytrw98& ", "iii :O9weew08< i", "ii :@&1299873@oi", "i :>># &123<< *o", " :::::># #&&.*oi", "+6uq:::::># #o$ ", "+55q6uq;--==$$@ ", " >,455q6uq$$$@+ ", "i @>,455q6u@+X ", "iiii @>,4%4+X i", "iiiiiii @>,X ii", "iiiiiiiiii iii" ] filesave = [ "16 16 26 1", " c #000000", ". c #0c0c0c", "X c gray21", "o c #3e3e3e", "O c #444444", "+ c #4c4c4c", "@ c #535353", "# c #5d5d5d", "$ c #636363", "% c #6a6a6a", "& c #747474", "* c #7c7c7c", "= c #838383", "- c #8c8c8c", "; c #939393", ": c #9a9a9a", "> c #a4a4a4", ", c gray68", "< c gray71", "1 c #c1c1c1", "2 c gray81", "3 c gray85", "4 c #e6e6e6", "5 c #efefef", "6 c #ffffff", "7 c None", "7777 777777777", "777@1,6 777777", "777@1:6666 777", "777@166666666 ", "77@1>66666666>> ", "77@1-66666666;> ", "77@<56666666== 7", "7@,>;-666666&- 7", "7@:---==*662$; 7", "7@:--=$#$&*2$; 7", #"7@ =$#$&$#.7", "@=$444+O+@@@* 77", "@%+444443O@@- 77", " 44444o+@$ 777", "777 44X@@& 777", "777777 @@; 777", "777777777 .7777" ] fit = [ "16 16 7 1", " c #303030", ". c #585858", "X c #c00000", "o c #808080", "O c #dcdcdc", "+ c #ffffff", "@ c None", "@@@@@oo@@@@@@@@@", "@@@@@oo@@@@@@@@@", "@@@@oXXo@@@@@@@@", "@@@@o++X@@@@@@@@", "@@@Xo++oX@oX@@@@", "@@@o+++oX@XoX@@@", "@@Xo++++.X++o@@@", "@Xo+++++oo++oX@@", "@ + + @@", "@ + + X@", "o ++++ ++ oX@", "X ++ ++ oX@", "+ ++ ++ oo@", "+ ++++ ++ +oX", "+ ++++ ++ ++o", "@@@@@@@@@@@@@@@@" ] logx = [ "16 16 4 1", " c #000040", ". c #0000ff", "X c #dcdcdc", "o c None", "oooooooooooooooo", "ooo oooooooooooo", "ooo oooooooooooo", "ooo oooooooooooo", "ooo ooo ooo oooo", "ooo oo o o o ooo", "ooo oo o o o ooo", "ooo o ooo ooo", "oooooooooooo ooo", "oooooooooo oooo", "oo.oooooooooo.oo", "o..oooooooooo..o", "................", "o..oooooooooo..o", "oo.oooooooooo.oo", "oooooooooooooooo" ] logy = [ "16 16 4 1", " c #000040", ". c #0000ff", "X c #dcdcdc", "o c None", "oooooooooooooooo", "oo.ooooooooooooo", "o...oooooooooooo", ".....ooooooooooo", "oo.ooooooooooooo", "oo.ooo ooooooooo", "oo.ooo ooooooooo", "oo.ooo ooooooooo", "oo.ooo ooo ooo o", "oo.ooo oo o o o ", "oo.ooo oo o o o ", "oo.ooo o ooo ", ".....oooooooooo ", "o...ooooooooo o", "oo.ooooooooooooo", "oooooooooooooooo" ] normal = [ "16 16 4 1", " c #303030", ". c #dcdcdc", "X c #ffffff", "o c None", "oooooooooooooooo", "o oooooooooooo", "o ooooooooo", "o oooooo", "oX ooooooo", "oX oooooooo", "oX oooooooo", "oXX ooooooo", "ooX XX oooooo", "ooX XooX ooooo", "ooXXooooX oooo", "oooooooooX ooo", "ooooooooooX ooo", "oooooooooooooooo", "oooooooooooooooo", "oooooooooooooooo" ] peak = [ "16 16 4 1", " c #303030", ". c #0080ff", "X c #dcdcdc", "o c None", "oooooo ooooooo", "ooooo . ooooooo", "ooooo ...ooooooo", "ooooo.....oooooo", "ooooo o.o oooooo", "ooooo o.o oooooo", "oooo oo.o oooooo", "oooo oo.o oooooo", "oo o oo.o oooooo", "oo o oo.o ooo o", "o oo.oo oo ", "o o oo.oo oo oo", "o ooooo.oo oo", " ooo.....oo ooo", "oooooo...ooooooo", "ooooooo.oooooooo" ] peakreset = [ "16 16 6 1", " c #303030", ". c #0080ff", "X c #ff0000", "o c #dcdcdc", "O c #ffc0c0", "+ c None", "XX++++ +++++XX", "+XXO+ . ++++XX+", "++XXO ...++OXX++", "+++XX.....OXX+++", "++++XXO.+OXX++++", "+++++XX.OXX+++++", "++++ +XXXX++++++", "++++ +OXX ++++++", "++ + OXXXX++++++", "++ +OXX.OXX+++ +", "+ OXX+.+OXX+ ", "+ +XX++.++OXX ++", "+ XX+++.++ OXX++", " XX++.....++ XX+", "+X++++...+++++X+", "X++++++.+++++++X" ] peaksearch = [ "16 16 6 1", " c #303030", ". c #585858", "X c #0000c0", "o c #dcdcdc", "O c #ffffff", "+ c None", "++..++++++++++++", "++.X.+++++++++++", "++XXX+++++++++++", "++.X.++++..+++++", "+..X.+++.X..++++", "+.OX..++XXX.++++", "+.OXO..+.XO..+++", "..OXOO..OXOO.+++", "OOOXOOOOOXOO..OO", " ++++++++++...", " ++ ++++++++++++", " ++ + ++ + + +", " + + + + + + +", " +++ ++ + + ++", " +++ +++ + + + +", " ++++ ++ + + +" ] reload_ = [ "16 16 51 1", " c #000000", ". c #040d00", "X c gray5", "o c #111111", "O c #1b1b1b", "+ c #0c2600", "@ c #113800", "# c #153c17", "$ c #242424", "% c #2d2d2d", "& c #343434", "* c gray24", "= c #154400", "- c #124515", "; c #1c4e1f", ": c #1b531c", "> c #1e5421", ", c #244926", "< c #235326", "1 c #215824", "2 c #265c28", "3 c #295f2c", "4 c #2f783f", "5 c #2f7a41", "6 c gray27", "7 c #4c4c4c", "8 c #525252", "9 c #5a5a5a", "0 c #7b7b7b", "q c #208a17", "w c #249215", "e c #289b19", "r c #2fa522", "t c #3fbe31", "y c #56a64f", "u c #6ebc66", "i c #44cd35", "p c #818181", "a c #929292", "s c #9f9f9f", "d c darkgray", "f c #b2b2b2", "g c #b9b9b9", "h c #a9d7ad", "j c #b5d7b3", "k c #b3d8b2", "l c #c6e0c4", "z c #dbecda", "x c #e4e4e4", "c c white", "v c None", "vvvvc2>>>>=vvvvv", "vvvc3kqr=@+==vvv", "vvv1zqr=vvv .=vv", "vvv c #e6e6da", ", c #ffffdd", "< c #e6e6e5", "1 c #ffffe4", "2 c #ffffeb", "3 c #fffff4", "4 c #fffffe", "5 c None", "5555555555555555", " ", " 555*&%%#@+Oooo ", " XXXXXXXXXXXXXX ", " <444444444444> ", " <44444444444,: ", " %..4..%4%..%.. ", " .444.4.3.3,.,; ", " %.%4.3.3..2.1; ", " <4.3..%2.,1.1; ", " <4.4.222.1,.,: ", " ..%2.211%..%.. ", " >,,,,111,,,,,$ ", " :::;;;;----$$$ ", " ", "5555555555555555" ] window_fullscreen = [ "16 16 23 1", " c black", ". c #777777", "X c maroon", "o c #9f9f9f", "O c #a5a5a5", "+ c #acacac", "@ c gray70", "# c gray73", "$ c #e6e6bc", "% c #c4c4c4", "& c #cecece", "* c #d5d5d5", "= c gainsboro", "- c #e6e6c3", "; c #e6e6cc", ": c #e6e6d5", "> c #e6e6db", ", c #ffffde", "< c #e6e6e6", "1 c #ffffe4", "2 c #ffffec", "3 c #fffff4", "4 c #ffffff", "4444444444444444", " ", " ===*&%%#@+Oooo ", " .............. ", " <444444444444> ", " XX222111,,XX- ", " >XXX1111,,XXX$ ", " :::;;;;----$$$ ", " ", "4444444444444444" ] window_new = [ "16 16 53 1", " c #000000", ". c #0f0000", "X c #330100", "o c #333940", "O c #5e2479", "+ c #555555", "@ c #585858", "# c gray40", "$ c #0000d0", "% c #0000d8", "& c #3940e6", "* c #642780", "= c #6f2f90", "- c #6e308b", "; c #763796", ": c #793b9c", "> c #7e3ea3", ", c #903339", "< c #e60000", "1 c #8242a7", "2 c #894caf", "3 c #8957a0", "4 c #9056b5", "5 c #925ab3", "6 c #8d61a4", "7 c #9065a8", "8 c #9570ab", "9 c #9873ae", "0 c #c0c000", "q c #c1c10a", "w c yellow", "e c #a480b9", "r c #a881be", "t c #ae86c5", "y c #b894ce", "u c #dedeb6", "i c #dedebf", "p c #ffff85", "a c #c6c6c6", "s c #dedec4", "d c #dedecb", "f c #deded2", "g c #dededd", "h c #ffffc0", "j c #ffffdf", "k c #e4e4e4", "l c #eeeee6", "z c #eeeeee", "x c #ffffe4", "c c #ffffec", "v c #fffff4", "b c #fffffe", "n c None", "@#+**********+++", "@kayytre98763ga ", "+aa45521>:;=-aa ", "+@@OOOOOOOOOO@@ ", "+zbbbbbbbbbbbvl ", "+gbbbbbbbbvcccd ", "+gbbbbbbbvcccxs ", "+gbbbbbvcc@pxji ", "+gbbbbv@pc@wj@p ", "+gbbvccc@w0w0wu ", "+gbvcccxxqhph0@ ", "+gffdd@pwwpbpwwp", "+ 0hph0 ", "nnnnnnnn w0w0wnn", "nnnnnnn pn wn pn", "nnnnnnnnnn pnnnn" ] window_nofullscreen = [ "16 16 23 1", " c black", ". c #777777", "X c maroon", "o c #9f9f9f", "O c #a5a5a5", "+ c #acacac", "@ c gray70", "# c gray73", "$ c #e6e6be", "% c #c4c4c4", "& c #cecece", "* c #d5d5d5", "= c gainsboro", "- c #e6e6c4", "; c #e6e6cc", ": c #e6e6d4", "> c #e6e6db", ", c #ffffda", "< c #e6e6e6", "1 c #ffffe4", "2 c #ffffec", "3 c #fffff4", "4 c #ffffff", "4444444444444444", " ", " ===*&%%#@+Oooo ", " .............. ", " X444444444444X ", " ", " <4XX444443XX2: ", " X3X22111,X,X$ ", " X>:::;;;---$$X ", " ", "4444444444444444" ] zoom = [ "16 16 56 1", " c #000000", ". c #0b0b0b", "X c #101010", "o c #272727", "O c #3f3f3f", "+ c #3f3f40", "@ c #404041", "# c #707071", "$ c #3eaab3", "% c #00c0c0", "& c aqua", "* c #43b2bc", "= c #7f8281", "- c #53c9d4", "; c #60c1cd", ": c #6ec4cd", "> c #68c6d1", ", c #71c6ce", "< c #7ac4cb", "1 c #7cc9cd", "2 c #76cbd5", "3 c #79cad4", "4 c #76d7e3", "5 c #78d8e3", "6 c #85ccd2", "7 c #89c8d0", "8 c #90d5db", "9 c #90d9df", "0 c #8bd7e0", "q c #8adbe5", "w c #8fdfe8", "e c #95e1ea", "r c #a8d1d5", "t c #aed6db", "y c #b6d9dd", "u c #b9dade", "i c #abdee4", "p c #b9dbe0", "a c #ade4e8", "s c #afe9f0", "d c #b0eaef", "f c #baecef", "g c #beedf1", "h c #c3c3c3", "j c #c1d4d6", "k c #ced8d9", "l c #c4eaed", "z c #caeaed", "x c #cdecf0", "c c #d7e5e6", "v c #d7e5e8", "b c #d3f2f5", "n c #def4f6", "m c #e3f4f4", "M c #eafbfa", "N c None", "NNNNoO.NNNNNNNNN", "NN+ kvj +NNNNNNN", "N+=mnlia=+NNNNNN", "N mMng9:f NNNNNN", "Xybnbsw,3p.NNNNN", "oclgde4;6z.NNNNN", ".ri0q5-*1t NNNNN", "N g2:>*$g NNNNNN", "N+=g8<7g= &NNNNN", "NN+ uzt @& NNNN", "NNNN . N% #h NNN", "NNNNNNNNN @#h NN", "NNNNNNNNNN @#h N", "NNNNNNNNNNN @#h ", "NNNNNNNNNNNN @# ", "NNNNNNNNNNNNN N" ] zoomminus = [ "16 16 56 1", " c #000000", ". c #0b0b0b", "X c #101010", "o c #272727", "O c #3f3f3f", "+ c #3f3f40", "@ c #404041", "# c #707071", "$ c #3eaab3", "% c #00c0c0", "& c aqua", "* c #43b2bc", "= c #7f8281", "- c #53c9d4", "; c #60c1cd", ": c #6ec4cd", "> c #68c6d1", ", c #71c6ce", "< c #7ac4cb", "1 c #7cc9cd", "2 c #76cbd5", "3 c #79cad4", "4 c #76d7e3", "5 c #78d8e3", "6 c #85ccd2", "7 c #89c8d0", "8 c #90d5db", "9 c #90d9df", "0 c #8bd7e0", "q c #8adbe5", "w c #8fdfe8", "e c #95e1ea", "r c #a8d1d5", "t c #aed6db", "y c #b6d9dd", "u c #b9dade", "i c #abdee4", "p c #b9dbe0", "a c #ade4e8", "s c #afe9f0", "d c #b0eaef", "f c #baecef", "g c #beedf1", "h c #c3c3c3", "j c #c1d4d6", "k c #ced8d9", "l c #c4eaed", "z c #caeaed", "x c #cdecf0", "c c #d7e5e6", "v c #d7e5e8", "b c #d3f2f5", "n c #def4f6", "m c #e3f4f4", "M c #eafbfa", "N c None", "NNNNoO.NNNNNNNNN", "NN+ kvj +NNNNNNN", "N+=mnlia=+NNNNNN", "N mMng9:f NNNNNN", "Xybnbsw,3p.NNNNN", "oclgde4;6z.NNNNN", ".ri0q5-*1t NNNNN", "N g2:>*$g NNNNNN", "N+=g8<7g= &NNNNN", "NN+ uzt +& NNNN", "NNNN . N% #h NNN", "NNNNNNNNN @#h NN", "NNNNNNNNNN @#h N", " NNNNNN @#h ", "NNNNNNNNNNNN @# ", "NNNNNNNNNNNNN N" ] zoomplus = [ "16 16 56 1", " c #000000", ". c #0b0b0b", "X c #101010", "o c #272727", "O c #3f3f3f", "+ c #3f3f40", "@ c #404041", "# c #707071", "$ c #3eaab3", "% c #00c0c0", "& c aqua", "* c #43b2bc", "= c #7f8281", "- c #53c9d4", "; c #60c1cd", ": c #6ec4cd", "> c #68c6d1", ", c #71c6ce", "< c #7ac4cb", "1 c #7cc9cd", "2 c #76cbd5", "3 c #79cad4", "4 c #76d7e3", "5 c #78d8e3", "6 c #85ccd2", "7 c #89c8d0", "8 c #90d5db", "9 c #90d9df", "0 c #8bd7e0", "q c #8adbe5", "w c #8fdfe8", "e c #95e1ea", "r c #a8d1d5", "t c #aed6db", "y c #b6d9dd", "u c #b9dade", "i c #abdee4", "p c #b9dbe0", "a c #ade4e8", "s c #afe9f0", "d c #b0eaef", "f c #baecef", "g c #beedf1", "h c #c3c3c3", "j c #c1d4d6", "k c #ced8d9", "l c #c4eaed", "z c #caeaed", "x c #cdecf0", "c c #d7e5e6", "v c #d7e5e8", "b c #d3f2f5", "n c #def4f6", "m c #e3f4f4", "M c #eafbfa", "N c None", "NNNNoO.NNNNNNNNN", "NN+ kvj +NNNNNNN", "N+=mnlia=+NNNNNN", "N mMng9:f NNNNNN", "Xybnbsw,3p.NNNNN", "oclgde4;6z.NNNNN", ".ri0q5-*1t NNNNN", "N g2:>*$g NNNNNN", "N+=g8<7g= &NNNNN", "NN+ uzt +& NNNN", "NNNN . N% #h NNN", "NN NNNNNN @#h NN", "NN NNNNNNN @#h N", " NNNNNN @#h ", "NN NNNNNNNNN @# ", "NN NNNNNNNNNN N" ] zoomreset = [ "16 16 38 1", " c #000000", ". c #0c0c0c", "X c #101010", "o c #272727", "O c #3f3f3f", "+ c #3f3f40", "@ c #404041", "# c #00c0c0", "$ c aqua", "% c #7f8281", "& c #60c1cd", "* c #6ec4cd", "= c #68c6d1", "- c #71c6ce", "; c #76cbd5", ": c #79cad4", "> c red", ", c #90d5db", "< c #90d9df", "1 c #8bd7e0", "2 c #8adbe5", "3 c #8fdfe8", "4 c #a8d1d5", "5 c #b6d9dd", "6 c #abdee4", "7 c #ade4e8", "8 c #baecef", "9 c #beedf1", "0 c #c1d4d6", "q c #ced8d9", "w c gainsboro", "e c #c4eaed", "r c #d7e5e6", "t c #d7e5e8", "y c #d5f2f4", "u c #dcf2f3", "i c #ffc0c0", "p c None", ">>ppoO.ppppppp>>", "p>> qt0 +pppp>>p", "p+>>ue67%+pi>>pp", "p i>>9<*8 i>>ppp", "X5yi>>3-:i>>pppp", "ore9i>>&i>>ppppp", ".4612i>>>> ppppp", "p 9;*=i>> pppppp", "p+%9,i>>>>$ppppp", "pp+ i>> i>> pppp", "pppi>> p#i>> ppp", "ppi>>pppp i>> pp", "pp>>pppppp i>> p", "p>>pppppppp i>> ", "p>pppppppppp @> ", ">pppppppppppp >" ] IconDict = { "derive": derive, "close": close, "fileclose": fileclose, "fileopen": fileopen, "filesave": filesave, "fileprint": fileprint, "spec": spec, "normal": normal, "normalize16": normalize16, "reload": reload_, "window_fullscreen": window_fullscreen, "window_new": window_new, "window_nofullscreen": window_nofullscreen, "zoomplus": zoomplus, "zoomminus": zoomminus, "zoomreset": zoomreset, "zoom": zoom, "logx": logx, "logy": logy, "peak": peak, "peakreset": peakreset, "peaksearch": peaksearch, "roi": roi, "roireset": roireset, "selected": selected, "unselected": unselected, "fit": fit, "energy": energy, "xauto": xauto, "yauto": yauto, "colormap": colormap, "colormap16": colormap16, "gioconda16": gioconda16, "gioconda16mirror": gioconda16mirror, "grid16": grid16, "image": image, "eraseselect": eraseselect, "boxselect": boxselect, "brush": brush, "brushselect": brushselect, "rgb16": rgb16, "rgb": rgb, "sliderson": sliderson, "slidersoff": slidersoff, "sigma": sigma, "swapsign": swapsign, "ymintozero": ymintozero, "average16": average16, "square": square16, "polygon": polygon16, "rectangle": rectangle16, "circle": circle16, "ellipse": ellipse16, "solidcircle": solid_circle16, "solidellipse": solid_ellipse16, "smooth": smooth, "subtract": subtract, "substract": substract, "togglepoints": togglepoints, "remove": remove, "additionalselect": additionalselect, "crop": crop, "plugin": plugin, "horizontal": horizontal, "vertical": vertical, "diagonal": diagonal, "rotate_left": rotate_left, "rotate_right": rotate_right } def showIcons(): import sys from PyMca5.PyMcaGui import PyMcaQt as qt a= qt.QApplication(sys.argv) a.lastWindowClosed.connect(a.quit) w= qt.QWidget() g= qt.QGridLayout(w) idx= 0 for name,icon in IconDict.items(): column = int(idx / 10) row = idx % 10 #print "name",name lab= qt.QLabel(w) lab.setText(str(name)) g.addWidget(lab, row, 2 * column + 1) lab= qt.QLabel(w) lab.setPixmap(qt.QPixmap(icon)) g.addWidget(lab, row, 2 * column) idx+= 1 w.show() a.exec_() if __name__=='__main__': showIcons() PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/__init__.py0000644000276300001750000000000013136054446021444 0ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/Toolbars.py0000644000276300001750000003434113136054446021511 0ustar solebliss00000000000000# /*######################################################################### # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ __author__ = "T. Vincent - ESRF Data Analysis" __contact__ = "thomas.vincent@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """ Set of QToolBar to attach to a :class:`PlotWindow` instance. Available toolbars: - ProvileToolBar: Profiling tools - LimitsToolBar: Text field to display and change the plot limits. """ # import ###################################################################### import logging import sys import numpy try: from .. import PyMcaQt as qt except ImportError: from PyMca5.PyMcaGui import PyMcaQt as qt from .PyMca_Icons import IconDict from .ProfileScanWidget import ProfileScanWidget from . import _ImageProfile # ProfileToolBar ############################################################## class ProfileToolBar(qt.QToolBar): """QToolBar providing profile tools operating on a :class:`PlotWindow`. Attributes: - plotWindow: Associated :class:`PlotWindow`. - profileWindow: Associated :class:`ProfileScanWidget`. - actionGroup: :class:`QActionGroup` of available actions. """ # TODO when available, listen to active image change to refresh profile _POLYGON_LEGEND = '__ProfileToolBar_ROI_Polygon' def __init__(self, plotWindow, profileWindow=None, title='Profile Selection', parent=None): """ :param plotWindow: :class:`PlotWindow` instance on which to operate. :param profileWindow: :class:`ProfileScanWidget` instance where to display the profile curve or None to create one. :param str title: See :class:`QToolBar`. :param parent: See :class:`QToolBar`. """ super(ProfileToolBar, self).__init__(title, parent) assert plotWindow is not None self.plotWindow = plotWindow self.plotWindow.sigPlotSignal.connect(self._plotWindowSlot) self._overlayColor = None self._roiInfo = None if profileWindow is None: self.profileWindow = ProfileScanWidget(actions=False) else: self.profileWindow = profileWindow # Actions self.browseAction = qt.QAction( qt.QIcon(qt.QPixmap(IconDict["normal"])), 'Browsing Mode', None) self.browseAction.setToolTip( 'Enables zooming interaction mode') self.browseAction.setCheckable(True) self.hLineAction = qt.QAction( qt.QIcon(qt.QPixmap(IconDict["horizontal"])), 'Horizontal Profile Mode', None) self.hLineAction.setToolTip( 'Enables horizontal profile selection mode') self.hLineAction.setCheckable(True) self.vLineAction = qt.QAction( qt.QIcon(qt.QPixmap(IconDict["vertical"])), 'Vertical Profile Mode', None) self.vLineAction.setToolTip( 'Enables vertical profile selection mode') self.vLineAction.setCheckable(True) self.lineAction = qt.QAction( qt.QIcon(qt.QPixmap(IconDict["diagonal"])), 'Fee Line Profile Mode', None) self.lineAction.setToolTip( 'Enables line profile selection mode') self.lineAction.setCheckable(True) self.clearAction = qt.QAction( qt.QIcon(qt.QPixmap(IconDict["image"])), 'Clear Profile', None) self.clearAction.setToolTip( 'Clear the profile Region of interest') self.clearAction.setCheckable(False) self.clearAction.triggered.connect(self.clearProfile) # ActionGroup self.actionGroup = qt.QActionGroup(self) self.actionGroup.addAction(self.browseAction) self.actionGroup.addAction(self.hLineAction) self.actionGroup.addAction(self.vLineAction) self.actionGroup.addAction(self.lineAction) self.actionGroup.triggered.connect(self._actionGroupTriggeredSlot) self.browseAction.setChecked(True) # Add actions to ToolBar self.addAction(self.browseAction) self.addAction(self.hLineAction) self.addAction(self.vLineAction) self.addAction(self.lineAction) self.addAction(self.clearAction) # Add width spin box to toolbar self.addWidget(qt.QLabel('W:')) self.lineWidthSpinBox = qt.QSpinBox(self) self.lineWidthSpinBox.setRange(0, 1000) self.lineWidthSpinBox.setValue(1) self.lineWidthSpinBox.valueChanged[int].connect( self._lineWidthSpinBoxValueChangedSlot) self.addWidget(self.lineWidthSpinBox) def _lineWidthSpinBoxValueChangedSlot(self, value): self.updateProfile() def _actionGroupTriggeredSlot(self, action): if action == self.browseAction: self.plotWindow.setZoomModeEnabled(True, color=self.overlayColor) elif action == self.hLineAction: self.plotWindow.setDrawModeEnabled(True, shape='hline', color=self.overlayColor) elif action == self.vLineAction: self.plotWindow.setDrawModeEnabled(True, shape='vline', color=self.overlayColor) elif action == self.lineAction: self.plotWindow.setDrawModeEnabled(True, shape='line', color=self.overlayColor) else: logging.error( 'ProfileToolBar._actionGroupTriggered got unknown action') def _plotWindowSlot(self, event): if event['event'] not in ('drawingProgress', 'drawingFinished'): return roiStart, roiEnd = event['points'][0], event['points'][1] checkedAction = self.actionGroup.checkedAction() if checkedAction == self.hLineAction: roiStart = - sys.maxsize, roiStart[1] roiEnd = sys.maxsize, roiEnd[1] lineProjectionMode = 'X' elif checkedAction == self.vLineAction: roiStart = roiStart[0], - sys.maxsize roiEnd = roiEnd[0], sys.maxsize lineProjectionMode = 'Y' elif checkedAction == self.lineAction: lineProjectionMode = 'D' else: return self._roiInfo = roiStart, roiEnd, lineProjectionMode self.updateProfile() @property def overlayColor(self): """The color to use for the ROI. """ return self._overlayColor @overlayColor.setter def overlayColor(self, color): self._overlayColor = color self.updateProfile() def updateProfile(self): """Update the displayed profile and profile ROI. """ self.plotWindow.removeItem(self._POLYGON_LEGEND, replot=True) if self._roiInfo is None: return imageData = self.plotWindow.getActiveImage() if imageData is None: return data, legend, info, pixmap = imageData origin = info['plot_xScale'][0], info['plot_yScale'][0] scale = info['plot_xScale'][1], info['plot_yScale'][1] roiWidth = self.lineWidthSpinBox.value() roiStart, roiEnd, lineProjectionMode = self._roiInfo profile = _ImageProfile.getProfileCurve(data, roiStart, roiEnd, roiWidth, origin, scale, lineProjectionMode) if profile is None: return # Update ROI polygon self.plotWindow.addItem(profile['roiPolygonX'], profile['roiPolygonY'], legend=self._POLYGON_LEGEND, color=self.overlayColor, shape='polygon', fill=True, replace=False, replot=True) # Title if lineProjectionMode == 'X': yMin = profile['roiPolygonY'].min() yMax = profile['roiPolygonY'].max() - 1 if roiWidth <= 1: profileName = 'Y = %g' % yMin else: profileName = 'Y = [%g, %g]' % (yMin, yMax) xLabel = 'Columns' elif lineProjectionMode == 'Y': xMin = profile['roiPolygonX'].min() xMax = profile['roiPolygonX'].max() - 1 if roiWidth <= 1: profileName = 'X = %g' % xMin else: profileName = 'X = [%g, %g]' % (xMin, xMax) xLabel = 'Rows' else: x0, y0 = profile['startPoint'] x1, y1 = profile['endPoint'] if roiWidth < 1 or x1 == x0 or y1 == y0: profileName = 'From (%g, %g) to (%g, %g)' % ( x0, y0, x1, y1) else: m = (y1 - y0) / float((x1 - x0)) b = y0 - m * x0 profileName = 'y = %g * x %+g ; width=%d' % ( m, b, roiWidth) xLabel = 'Distance' # Update profile curve coords, values = profile['profileCoords'], profile['profileValues'] index = numpy.isfinite(values) coords, values = coords[index], values[index] self.profileWindow.addCurve(coords, values, legend=profileName, xlabel=xLabel, replace=True, replot=True) self.profileWindow.show() def clearProfile(self): self._roiInfo = None self.updateProfile() # LimitsToolBar ############################################################## class LimitsToolBar(qt.QToolBar): """QToolBar displaying and controlling the limits of a :class:`PlotWindow`. """ class _FloatEdit(qt.QLineEdit): """Field to edit a float value.""" def __init__(self, value=None, *args, **kwargs): qt.QLineEdit.__init__(self, *args, **kwargs) self.setValidator(qt.QDoubleValidator()) self.setFixedWidth(100) self.setAlignment(qt.Qt.AlignLeft) if value is not None: self.setValue(value) def value(self): return float(self.text()) def setValue(self, value): self.setText('%g' % value) def __init__(self, plotWindow, title='Limits', parent=None): """ :param plotWindow: :class:`PlotWindow` instance on which to operate. :param str title: See :class:`QToolBar`. :param parent: See :class:`QToolBar`. """ super(LimitsToolBar, self).__init__(title, parent) assert plotWindow is not None self._plotWindow = plotWindow self._plotWindow.sigPlotSignal.connect(self._plotWindowSlot) self._initWidgets() @property def plotWindow(self): """The :class:`PlotWindow` the toolbar is attached to.""" return self._plotWindow def _initWidgets(self): """Create and init Toolbar widgets.""" xMin, xMax = self.plotWindow.getGraphXLimits() yMin, yMax = self.plotWindow.getGraphYLimits() self.addWidget(qt.QLabel('Limits: ')) self.addWidget(qt.QLabel(' X: ')) self._xMinFloatEdit = self._FloatEdit(xMin) self._xMinFloatEdit.editingFinished[()].connect( self._xFloatEditChanged) self.addWidget(self._xMinFloatEdit) self._xMaxFloatEdit = self._FloatEdit(xMax) self._xMaxFloatEdit.editingFinished[()].connect( self._xFloatEditChanged) self.addWidget(self._xMaxFloatEdit) self.addWidget(qt.QLabel(' Y: ')) self._yMinFloatEdit = self._FloatEdit(yMin) self._yMinFloatEdit.editingFinished[()].connect( self._yFloatEditChanged) self.addWidget(self._yMinFloatEdit) self._yMaxFloatEdit = self._FloatEdit(yMax) self._yMaxFloatEdit.editingFinished[()].connect( self._yFloatEditChanged) self.addWidget(self._yMaxFloatEdit) def _plotWindowSlot(self, event): """Listen to :class:`PlotWindow` events.""" if event['event'] not in ('limitsChanged',): return xMin, xMax = self.plotWindow.getGraphXLimits() yMin, yMax = self.plotWindow.getGraphYLimits() self._xMinFloatEdit.setValue(xMin) self._xMaxFloatEdit.setValue(xMax) self._yMinFloatEdit.setValue(yMin) self._yMaxFloatEdit.setValue(yMax) def _xFloatEditChanged(self): """Handle X limits changed from the GUI.""" xMin, xMax = self._xMinFloatEdit.value(), self._xMaxFloatEdit.value() if xMax < xMin: xMin, xMax = xMax, xMin self.plotWindow.setGraphXLimits(xMin, xMax) def _yFloatEditChanged(self): """Handle Y limits changed from the GUI.""" yMin, yMax = self._yMinFloatEdit.value(), self._yMaxFloatEdit.value() if yMax < yMin: yMin, yMax = yMax, yMin self.plotWindow.setGraphYLimits(yMin, yMax) PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/_ImageProfile.py0000644000276300001750000004757213136054446022440 0ustar solebliss00000000000000# /*######################################################################### # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """ Functions to extract a profile curve of a region of interest in an image. """ # import ###################################################################### import numpy from PyMca5.PyMcaMath.fitting import SpecfitFuns DEBUG = 0 # utils ####################################################################### def _clamp(value, min_, max_): if value < min_: return min_ elif value > max_: return max_ else: return value # coordinate conversion ####################################################### def plotToImage(x, y, origin=(0, 0), scale=(1, 1), shape=None): """Convert a position from plot to image coordinates. If shape is not None, return the position clipped to the image bounds. :param float x: X coordinate in plot. :param float y: Y coordinate in plot. :param origin: Origin of the image in the plot. :type origin: 2-tuple of float: (ox, oy). :param scale: Scale of the image in the plot. :type scale: 2-tuple of float: (sx, sy). :param shape: Shape of the image or None to disable clipping. :type shape: 2-tuple of int: (height, width) or None. :return: Position in the image. :rtype: 2-tuple of int: (row, col). """ col = int((x - origin[0]) / float(scale[0])) row = int((y - origin[1]) / float(scale[1])) if shape is not None: col = _clamp(col, 0, shape[1] - 1) row = _clamp(row, 0, shape[0] - 1) return row, col def imageToPlot(row, col, origin=(0., 0.), scale=(1., 1.)): """Convert a position from image to plot coordinates. :param row: Row coordinate(s) in image. :type row: int or numpy.ndarray :param col: Column coordinate(s) in image. :type col: int or numpy.ndarray :param origin: Origin of the image in the plot. :type origin: 2-tuple of float: (ox, oy). :param scale: Scale of the image in the plot. :type scale: 2-tuple of float: (sx, sy). :return: Position in the image. :rtype: 2-tuple of float or numpy.ndarray: (x, y). """ x = origin[0] + col * scale[0] y = origin[1] + row * scale[1] return x, y # profiles #################################################################### def getAlignedROIProfileCurve(image, roiCenter, roiWidth, roiRange, axis): """Sums of a rectangular region of interest (ROI) along a given axis. Returned values and all parameters are in image coordinates. This function might change the ROI so it remains within the image. Thus, the bounds of the effective ROI and the effective roiRange are returned along with the profile. :param image: 2D data. Warning: The sum is performed with the dtype of the provided array! :type image: numpy.ndarray with 2 dimensions. :param int roiCenter: Center of the ROI in image coordinates along the given axis. :param int roiWidth: Width of the ROI in image pixels along the given axis. :param roiRange: [Start, End] positions of the ROI from which to take the ROI in image coordinates along the other dimension. Both start and end are included in the ROI if they are in the image. This range is clipped to the image. :type roiRange: 2-tuple of int. :param int axis: The axis along which to take the profile of the ROI. 0: Sum rows along columns. 1: Sum columns along rows. :return: The profile and the effective ROI as a dict with the keys: - 'profileCoordsRange': The range of profile coordinates along the selected axis (2-tuple of int). - 'profileValues': The sums of the ROI along the selected axis. - 'roiPolygonCols': The column coordinates of the polygon of the effective ROI. - 'roiPolygonRows': The row coordinates of the polygon of the effective ROI. :rtype: dict """ assert axis in (0, 1) if axis == 1: # Transpose image to use same code for both dimensions. image = image.transpose() dim0Size, dim1Size = image.shape roiCenter = int(roiCenter) roiWidth = int(roiWidth) # Keep range within image startRange = _clamp(int(roiRange[0]), 0, dim1Size - 1) endRange = _clamp(int(roiRange[1]), 0, dim1Size - 1) stepRange = 1 if startRange <= endRange else -1 rangeSlice = slice(startRange, endRange + stepRange, stepRange) # Get ROI extent in the dimension to sum start = int(roiCenter + 0.5 - 0.5 * roiWidth) end = int(roiCenter + 0.5 + 0.5 * roiWidth) # Keep ROI within image and keep its width if possible if start < 0: start, end = 0, min(roiWidth, dim0Size) elif end > dim0Size: start, end = max(dim0Size - roiWidth, 0), dim0Size if roiWidth <= 1: profileValues = image[start, rangeSlice] end = start + 1 else: profileValues = image[start:end, rangeSlice].sum(axis=0) # Get the ROI polygon roiPolygonCols = numpy.array( (startRange, endRange + stepRange, endRange + stepRange, startRange), dtype=numpy.float) roiPolygonRows = numpy.array((start, start, end, end), dtype=numpy.float) if axis == 1: # Image was transposed roiPolygonCols, roiPolygonRows = roiPolygonRows, roiPolygonCols return {'profileValues': profileValues, 'profileCoordsRange': (startRange, endRange), 'roiPolygonRows': roiPolygonRows, 'roiPolygonCols': roiPolygonCols} def _getROILineProfileCurve(image, roiStart, roiEnd, roiWidth, lineProjectionMode): """Returns the profile values and the polygon in the given ROI. Works in image coordinates. See :func:`getAlignedROIProfileCurve`. """ row0, col0 = roiStart row1, col1 = roiEnd deltaRow = abs(row1 - row0) deltaCol = abs(col1 - col0) if (lineProjectionMode == 'X' or (lineProjectionMode == 'D' and deltaCol >= deltaRow)): nPoints = deltaCol + 1 coordsRange = col0, col1 else: # 'Y' or ('D' and deltaCol < deltaRow) nPoints = deltaRow + 1 coordsRange = row0, row1 if nPoints == 1: # all points are the same if DEBUG: print("START AND END POINT ARE THE SAME!!") return None # the coordinates of the reference points x0 = numpy.arange(image.shape[0], dtype=numpy.float) y0 = numpy.arange(image.shape[1], dtype=numpy.float) if roiWidth < 1: x = numpy.zeros((nPoints, 2), numpy.float) x[:, 0] = numpy.linspace(row0, row1, nPoints) x[:, 1] = numpy.linspace(col0, col1, nPoints) # perform the interpolation ydata = SpecfitFuns.interpol((x0, y0), image, x) roiPolygonCols = numpy.array((col0, col1), dtype=numpy.float) roiPolygonRows = numpy.array((row0, row1), dtype=numpy.float) else: # find m and b in the line y = mx + b m = (row1 - row0) / float((col1 - col0)) # Not used: b = row0 - m * col0 alpha = numpy.arctan(m) # imagine the following sequence # - change origin to the first point # - clock-wise rotation to bring the line on the x axis of a new system # so that the points (col0, row0) and (col1, row1) # become (x0, 0) (x1, 0). # - counter clock-wise rotation to get the points (x0, -0.5 width), # (x0, 0.5 width), (x1, 0.5 * width) and (x1, -0.5 * width) back to # the original system. # - restore the origin to (0, 0) # - if those extremes are inside the image the selection is acceptable cosalpha = numpy.cos(alpha) sinalpha = numpy.sin(alpha) newCol0 = 0.0 newCol1 = (col1 - col0) * cosalpha + (row1 - row0) * sinalpha newRow0 = 0.0 newRow1 = - (col1 - col0) * sinalpha + (row1 - row0) * cosalpha if DEBUG: print("new X0 Y0 = %f, %f " % (newCol0, newRow0)) print("new X1 Y1 = %f, %f " % (newCol1, newRow1)) tmpX = numpy.linspace(newCol0, newCol1, nPoints).astype(numpy.float) rotMatrix = numpy.zeros((2, 2), dtype=numpy.float) rotMatrix[0, 0] = cosalpha rotMatrix[0, 1] = - sinalpha rotMatrix[1, 0] = sinalpha rotMatrix[1, 1] = cosalpha if DEBUG: # test if I recover the original points testX = numpy.zeros((2, 1), numpy.float) colRow = numpy.dot(rotMatrix, testX) print("Recovered X0 = %f" % (colRow[0, 0] + col0)) print("Recovered Y0 = %f" % (colRow[1, 0] + row0)) print("It should be = %f, %f" % (col0, row0)) testX[0, 0] = newCol1 testX[1, 0] = newRow1 colRow = numpy.dot(rotMatrix, testX) print("Recovered X1 = %f" % (colRow[0, 0] + col0)) print("Recovered Y1 = %f" % (colRow[1, 0] + row0)) print("It should be = %f, %f" % (col1, row1)) # find the drawing limits testX = numpy.zeros((2, 4), numpy.float) testX[0, 0] = newCol0 testX[0, 1] = newCol0 testX[0, 2] = newCol1 testX[0, 3] = newCol1 testX[1, 0] = newRow0 - 0.5 * roiWidth testX[1, 1] = newRow0 + 0.5 * roiWidth testX[1, 2] = newRow1 + 0.5 * roiWidth testX[1, 3] = newRow1 - 0.5 * roiWidth colRow = numpy.dot(rotMatrix, testX) colLimits0 = colRow[0, :] + col0 rowLimits0 = colRow[1, :] + row0 for a in rowLimits0: if (a >= image.shape[0]) or (a < 0): print("outside row limits", a) return None for a in colLimits0: if (a >= image.shape[1]) or (a < 0): print("outside column limits", a) return None r0 = rowLimits0[0] r1 = rowLimits0[1] if r0 > r1: print("r0 > r1", r0, r1) raise ValueError("r0 > r1") x = numpy.zeros((2, nPoints), numpy.float) # oversampling solves noise introduction issues oversampling = roiWidth + 1 oversampling = min(oversampling, 21) ncontributors = roiWidth * oversampling iterValues = numpy.linspace(-0.5 * roiWidth, 0.5 * roiWidth, ncontributors) tmpMatrix = numpy.zeros((nPoints * len(iterValues), 2), dtype=numpy.float) x[0, :] = tmpX offset = 0 for i in iterValues: x[1, :] = i colRow = numpy.dot(rotMatrix, x) colRow[0, :] += col0 colRow[1, :] += row0 # it is much faster to make one call to the interpolating # routine than making many calls tmpMatrix[offset:(offset + nPoints), 0] = colRow[1, :] tmpMatrix[offset:(offset + nPoints), 1] = colRow[0, :] offset += nPoints ydata = SpecfitFuns.interpol((x0, y0), image, tmpMatrix) ydata.shape = len(iterValues), nPoints ydata = ydata.sum(axis=0) # deal with the oversampling ydata /= oversampling roiPolygonCols, roiPolygonRows = colLimits0, rowLimits0 return {'profileValues': ydata, 'profileCoordsRange': coordsRange, 'roiPolygonCols': roiPolygonCols, 'roiPolygonRows': roiPolygonRows} def getProfileCurve(image, roiStart, roiEnd, roiWidth=1, origin=(0., 0.), scale=(1., 1.), lineProjectionMode='D'): """Sums a region of interest (ROI) of an image along a given line. Returned values and all parameters except roiWidth are in plot coordinates. This function might change the ROI so it remains within the image. Thus, the polygon of the effective ROI is returned along with the profile. The profile is always returned with increasing coordinates on the projection axis, so roiStart and roiEnd are flipped if roiStart > roiEnd. :param image: 2D data. :type image: numpy.ndarray with 2 dimensions. :param roiStart: Start point (x0, y0) of the ROI line in plot coordinates. Start point is included in ROI. :type roiStart: 2-tuple of float. :param roiEnd: End point (x1, y1) of the ROI line in plot coordinates. End point is included in ROI. :type roiEnd: 2-tuple of float. :param int roiWidth: Width of the ROI line in image pixels and NOT in plot coordinates. :param origin: (ox, oy) coordinates of the origin of the image in plot coordinates. :type origin: 2-tuple of float. :param scale: (sx, sy) scale of the image in plot coordinates. :type scale: 2-tuple of float. :param str lineProjectionMode: The axis on which to do the profile, in: - 'D': Use the axis with the longest projection of the ROI line in pixels. The profile coordinates are distance along the profile line. - 'X': Use the X axis. The profile coordinates are in X axis coordinates. - 'Y': Use the Y axis. The profile coordinates are in Y axis coordinates. This changes the sampling over the ROI line and the returned coordinates of the profile curve. :return: None if cannot compute a profile curve, or the profile and the effective ROI as a dict with the keys: - 'profileCoords': The profile coordinates along the selected axis if lineProjectionMode is in ('X', 'Y'), or the distance in plot coordinates along the line if lineProjectionMode is 'D'. - 'profileValues': The sums of the ROI along the line. - 'roiPolygonCols': The column coordinates of the polygon of the effective ROI. - 'roiPolygonRows': The row coordinates of the polygon of the effective ROI. - 'roiPolygonX': The x coordinates of the polygon of the effective ROI in plot coordinates. - 'roiPolygonY': The y coordinates of the polygon of the effective ROI in plot coordinates. :rtype: dict """ assert lineProjectionMode in ('D', 'X', 'Y') if image is None: return None row0, col0 = plotToImage(roiStart[0], roiStart[1], origin, scale, image.shape) row1, col1 = plotToImage(roiEnd[0], roiEnd[1], origin, scale, image.shape) # Makes sure coords are increasing along the projection axis if (lineProjectionMode == 'X' or (lineProjectionMode == 'D' and abs(col1 - col0) >= abs(row1 - row0))): if col1 < col0: # Invert end points to have increasing coords on X axis row0, col0, row1, col1 = row1, col1, row0, col0 else: # i.e., 'Y' or ('D' and abs(col1 - col0) < abs(row1 - row0)) if row1 < row0: # Invert end points to have increasing coords on Y axis row0, col0, row1, col1 = row1, col1, row0, col0 if col0 == col1: # Vertical line if lineProjectionMode not in ('D', 'Y'): return None # Nothing to profile over 'X' result = getAlignedROIProfileCurve(image, roiCenter=col0, roiRange=(row0, row1), roiWidth=roiWidth, axis=1) elif row0 == row1: # Horizontal line if lineProjectionMode not in ('D', 'X'): return None # Nothing to profile over 'Y' result = getAlignedROIProfileCurve(image, roiCenter=row0, roiRange=(col0, col1), roiWidth=roiWidth, axis=0) else: result = _getROILineProfileCurve(image, (row0, col0), (row1, col1), roiWidth, lineProjectionMode) if result is None: return None values = result['profileValues'] # Generates profile coordinates if lineProjectionMode == 'D': # Profile coordinates are distances along the ROI line in plot unit # get the abscisa in distance units colRange = float(scale[0] * abs(col1 - col0)) rowRange = float(scale[1] * abs(row1 - row0)) deltaDistance = numpy.sqrt( colRange * colRange + rowRange * rowRange) / (len(values) - 1.0) coords = deltaDistance * numpy.arange(len(values), dtype=numpy.float) else: # Profile coordinates are returned in plot coords # Build coords in image frame start, end = result['profileCoordsRange'] step = 1 if start <= end else -1 # In case profile is inverted coords = numpy.arange(start, end + step, step, dtype=numpy.float) # Convert coords from image to plot if lineProjectionMode == 'X': if origin[0] != 0. or scale[0] != 1.: coords = origin[0] + coords * scale[0] elif lineProjectionMode == 'Y': if origin[1] != 0. or scale[1] != 1.: coords = origin[1] + coords * scale[1] roiPolygonX, roiPolygonY = imageToPlot(result['roiPolygonRows'], result['roiPolygonCols'], origin, scale) return {'profileValues': values, 'profileCoords': coords, 'startPoint': imageToPlot(row0, col0, origin, scale), 'endPoint': imageToPlot(row1, col1, origin, scale), 'roiPolygonCols': result['roiPolygonCols'], 'roiPolygonRows': result['roiPolygonRows'], 'roiPolygonX': roiPolygonX, 'roiPolygonY': roiPolygonY} PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/RenameCurveDialog.py0000644000276300001750000000667013136054446023264 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt class RenameCurveDialog(qt.QDialog): def __init__(self, parent = None, current="", curves = []): qt.QDialog.__init__(self, parent) self.setWindowTitle("Rename Curve %s" % current) self.curves = curves layout = qt.QVBoxLayout(self) self.lineEdit = qt.QLineEdit(self) self.lineEdit.setText(current) self.hbox = qt.QWidget(self) self.hboxLayout = qt.QHBoxLayout(self.hbox) self.hboxLayout.addWidget(qt.HorizontalSpacer(self.hbox)) self.okButton = qt.QPushButton(self.hbox) self.okButton.setText('OK') self.hboxLayout.addWidget(self.okButton) self.cancelButton = qt.QPushButton(self.hbox) self.cancelButton.setText('Dismiss') self.hboxLayout.addWidget(self.cancelButton) self.hboxLayout.addWidget(qt.HorizontalSpacer(self.hbox)) layout.addWidget(self.lineEdit) layout.addWidget(self.hbox) self.okButton.clicked.connect(self.preAccept) self.cancelButton.clicked.connect(self.reject) def preAccept(self): text = str(self.lineEdit.text()) addedText = "" if len(text): if text not in self.curves: self.accept() return else: addedText = "Curve already exists." text = "Invalid Curve Name" msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle(text) text += "\n%s" % addedText msg.setText(text) msg.exec_() def getText(self): return str(self.lineEdit.text()) if __name__ == "__main__": app = qt.QApplication([]) w=RenameCurveDialog(None, 'curve1', ['curve1', 'curve2', 'curve3']) ret = w.exec_() if ret == qt.QDialog.Accepted: print("newcurve = %s" % str(w.lineEdit.text())) else: print("keeping old curve") PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/MaskImageTools.py0000644000276300001750000002261313136054446022602 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """ Common tools to deal with common graphics operations on images. """ import sys import os import numpy from PyMca5 import spslut COLORMAP_LIST = [spslut.GREYSCALE, spslut.REVERSEGREY, spslut.TEMP, spslut.RED, spslut.GREEN, spslut.BLUE, spslut.MANY] DEFAULT_COLORMAP_INDEX = 2 DEFAULT_COLORMAP_LOG_FLAG = False def convertToRowAndColumn(x, y, shape, xScale=None, yScale=None, safe=True): """ Convert from plot coordinates to image row and column. """ if xScale is None: c = x else: if x < xScale[0]: x = xScale[0] c = (x - xScale[0]) / xScale[1] if yScale is None: r = y else: if y < yScale[0]: y = yScale[0] r = ( y - yScale[0]) / yScale[1] if safe: c = min(int(c), shape[1] - 1) r = min(int(r), shape[0] - 1) else: c = int(c) r = int(r) return r, c def getPixmapFromData(ndarray, colormap=None, mask=None, colors=None): """ Calculate a colormap and apply a mask (given as a set of unsigned ints) to it. :param ndarray: Data values :type ndarray: Numpy array :param colormap: None or a list of seven parameters: 0. Colormap index. Positive integer 1. Autoscale flag 2. Minimum value to be mapped 3. Maximum value to be mapped 4. Minimum data value 5. Maximum data value 6. Flag to indicate mode (0 - linear, 1 - logarithmic) :type colormap: list or None (default) :param mask: Numpy array of indices to indicating mask levels :type mask: Numpy nd array of indices or None (default) :param colors: List containing the colors associated to the mask levels :type colors: Numpy array of dimensions (N mask levels, 4) or None (default) :returns: Numpy uint8 array of shape equal data.shape + [4] """ oldShape = list(ndarray.shape) # deal with numpy masked arrays if hasattr(ndarray, 'mask'): data = ndarray.data[:] else: data = ndarray[:] if len(oldShape) == 1: data.shape = -1, 1 elif len(oldShape) != 2: raise TypeError("Input array must be of dimension 2 got %d" % \ len(oldShape)) # deal with non finite data finiteData = numpy.isfinite(data) goodData = finiteData.min() if goodData: minData = data.min() maxData = data.max() else: tmpData = data[finiteData] if tmpData.size > 0: minData = tmpData.min() maxData = tmpData.max() else: minData = None maxData = None tmpData = None # apply colormap if colormap is None: colormapName = COLORMAP_LIST[min(DEFAULT_COLORMAP_INDEX, len(COLORMAP_LIST) - 1)] if DEFAULT_COLORMAP_LOG_FLAG: colormapScaling = spslut.log else: colormapScaling = spslut.LINEAR if minData is None: (pixmap, size, minmax)= spslut.transform(\ data, (1,0), (colormapScaling, 3.0), "RGBX", colormapName, 1, (0, 1), (0, 255), 1) else: (pixmap, size, minmax)= spslut.transform(\ data, (1,0), (colormapScaling,3.0), "RGBX", colormapName, 0, (minData,maxData), (0, 255), 1) else: if len(colormap) < 7: print("Missing colormap log flag assuming linear") colormap.append(spslut.LINEAR) if goodData: (pixmap, size, minmax)= spslut.transform(\ data, (1,0), (colormap[6],3.0), "RGBX", COLORMAP_LIST[int(str(colormap[0]))], colormap[1], (colormap[2],colormap[3]), (0, 255), 1) elif colormap[1]: #autoscale if minData is None: colormapName = COLORMAP_LIST[min(DEFAULT_COLORMAP_INDEX, len(COLORMAP_LIST) - 1)] colormapScaling = DEFAULT_COLORMAP_LOG_FLAG (pixmap, size, minmax)= spslut.transform(\ data, (1,0), (colormapScaling, 3.0), "RGBX", colormapName, 1, (0, 1), (0, 255), 1) else: (pixmap, size, minmax)= spslut.transform(\ data, (1,0), (colormap[6],3.0), "RGBX", COLORMAP_LIST[int(str(colormap[0]))], 0, (minData, maxData), (0,255), 1) else: (pixmap, size, minmax)= spslut.transform(\ data, (1,0), (colormap[6],3.0), "RGBX", COLORMAP_LIST[int(str(colormap[0]))], colormap[1], (colormap[2],colormap[3]), (0,255), 1) # make sure alpha is set pixmap.shape = -1, 4 pixmap[:, 3] = 255 pixmap.shape = list(data.shape) + [4] if not goodData: pixmap[finiteData < 1] = 255 if mask is not None: return applyMaskToImage(pixmap, mask, colors=colors, copy=False) return pixmap def applyMaskToImage(pixmap, mask=None, colors=None, copy=True): """ Calculate the resulting pixmap after applying a mask. Each value of the mask indicates the color index to be used. :param pixmap: Numpy array of RGBA values. :type pixmap: Numpy ndarray. :param mask: Numpy array of positive indices. Usually of type uint8. :type mask: Numpy ndarray. :param colors: Array of dimension (n_colors, 4) containing the RGBA colors. :type colors: Numpy ndarray of uint8 values. :param copy: Flag to indicate if a copy of th einput pixmap is to be made. :type copy: Boolean, default True. :returns: The resulting pixmap. """ if copy: pixmap = pixmap.copy() if mask is None: return pixmap maxValue = mask.max() startIndex = mask.min() if colors is None: if maxValue == 1: startIndex = 1 colors = numpy.zeros((2, 4), dtype=numpy.uint8) colors[1, 3] = 255 else: raise ValueError("Different mask levels require color list input") oldShape = pixmap.shape pixmap.shape = -1, 4 maskView = mask[:] maskView.shape = -1, blendFactor = 0.8 for i in range(startIndex, maxValue + 1): idx = (maskView==i) pixmap[idx, :] = pixmap[idx, :] * blendFactor + \ colors[i] * (1.0 - blendFactor) pixmap.shape = oldShape return pixmap if __name__ == "__main__": from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PlotWidget app = qt.QApplication([]) w = PlotWidget.PlotWidget() data = numpy.arange(10000.).reshape(100, 100) mask = numpy.zeros(data.shape, dtype=numpy.uint8) mask[25:75, 25:75] = 1 image = getPixmapFromData(data, mask=mask) w.addImage(image, mask=mask) w.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/PlotWindow.py0000644000276300001750000020426313173367502022035 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """ This window handles plugins and adds a toolbar to the PlotWidget. Currently the only dependency on PyMca is through the Icons. """ import copy import sys import os import time import traceback import numpy from numpy import argsort, nonzero, take from . import LegendSelector from .ObjectPrintConfigurationDialog import ObjectPrintConfigurationDialog from . import McaROIWidget from . import PlotWidget from . import MaskImageTools from . import RenameCurveDialog try: from . import ColormapDialog COLORMAP_DIALOG = True except: COLORMAP_DIALOG = False from .PyMca_Icons import IconDict from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, 'QString'): QString = qt.QString else: QString = qt.safe_str QTVERSION = qt.qVersion() DEBUG = 0 class PlotWindow(PlotWidget.PlotWidget): sigROISignal = qt.pyqtSignal(object) sigIconSignal = qt.pyqtSignal(object) sigColormapChangedSignal = qt.pyqtSignal(object) DEFAULT_COLORMAP_INDEX = MaskImageTools.DEFAULT_COLORMAP_INDEX DEFAULT_COLORMAP_LOG_FLAG = MaskImageTools.DEFAULT_COLORMAP_LOG_FLAG def __init__(self, parent=None, backend=None, plugins=True, newplot=False, control=False, position=False, **kw): super(PlotWindow, self).__init__(parent=parent, backend=backend) self.pluginsIconFlag = plugins self.newplotIconsFlag = newplot self.setWindowType(None) # None, "SCAN", "MCA" self._initIcons() self._buildToolBar(kw) self.setIconSize(qt.QSize(16, 16)) self._toggleCounter = 0 self._keepDataAspectRatioFlag = False self.gridLevel = 0 self.legendWidget = None self.usePlotBackendColormap = False # Toggle usage of backend colormap self.setCallback(self.graphCallback) if control or position: self._buildGraphBottomWidget(control, position) self._controlMenu = None # default print configuration (uses full page) self._printMenu = None self._printConfigurationDialog = None self._printConfiguration = {"xOffset": 0.1, "yOffset": 0.1, "width": 0.9, "height": 0.9, "units": "page", "keepAspectRatio": True} # own save action self.enableOwnSave(True) # activeCurve handling self.enableActiveCurveHandling(True) self.setActiveCurveColor('black') # default ROI handling self.roiWidget = None self._middleROIMarkerFlag = False #colormap handling self.colormapDialog = None self.colormap = None def enableOwnSave(self, flag=True): if flag: self._ownSave = True else: self._ownSave = False def _buildGraphBottomWidget(self, control, position): widget = self.centralWidget() self.graphBottom = qt.QWidget(widget) self.graphBottomLayout = qt.QHBoxLayout(self.graphBottom) self.graphBottomLayout.setContentsMargins(0, 0, 0, 0) self.graphBottomLayout.setSpacing(0) if control: self.graphControlButton = qt.QPushButton(self.graphBottom) self.graphControlButton.setText("Options") self.graphControlButton.setAutoDefault(False) self.graphBottomLayout.addWidget(self.graphControlButton) self.graphControlButton.clicked.connect(self._graphControlClicked) if position: label=qt.QLabel(self.graphBottom) label.setText('X:') self.graphBottomLayout.addWidget(label) self._xPos = qt.QLineEdit(self.graphBottom) self._xPos.setText('------') self._xPos.setReadOnly(1) self._xPos.setFixedWidth(self._xPos.fontMetrics().width('##############')) self.graphBottomLayout.addWidget(self._xPos) label=qt.QLabel(self.graphBottom) label.setText('Y:') self.graphBottomLayout.addWidget(label) self._yPos = qt.QLineEdit(self.graphBottom) self._yPos.setText('------') self._yPos.setReadOnly(1) self._yPos.setFixedWidth(self._yPos.fontMetrics().width('##############')) self.graphBottomLayout.addWidget(self._yPos) self.graphBottomLayout.addWidget(qt.HorizontalSpacer(self.graphBottom)) widget.layout().addWidget(self.graphBottom) def setPrintMenu(self, menu): self._printMenu = menu def setWindowType(self, wtype=None): if wtype not in [None, "SCAN", "MCA"]: print("Unsupported window type. Default to None") self._plotType = wtype def _graphControlClicked(self): if self._controlMenu is None: #create a default menu controlMenu = qt.QMenu() controlMenu.addAction(QString("Show/Hide Legends"), self.toggleLegendWidget) controlMenu.addAction(QString("Toggle Crosshair"), self.toggleCrosshairCursor) controlMenu.addAction(QString("Toggle Arrow Keys Panning"), self.toggleArrowKeysPanning) controlMenu.exec_(self.cursor().pos()) else: self._controlMenu.exec_(self.cursor().pos()) def setControlMenu(self, menu=None): self._controlMenu = menu def _initIcons(self): self.normalIcon = qt.QIcon(qt.QPixmap(IconDict["normal"])) self.zoomIcon = qt.QIcon(qt.QPixmap(IconDict["zoom"])) self.roiIcon = qt.QIcon(qt.QPixmap(IconDict["roi"])) self.peakIcon = qt.QIcon(qt.QPixmap(IconDict["peak"])) self.energyIcon = qt.QIcon(qt.QPixmap(IconDict["energy"])) self.zoomResetIcon = qt.QIcon(qt.QPixmap(IconDict["zoomreset"])) self.roiResetIcon = qt.QIcon(qt.QPixmap(IconDict["roireset"])) self.peakResetIcon = qt.QIcon(qt.QPixmap(IconDict["peakreset"])) self.refreshIcon = qt.QIcon(qt.QPixmap(IconDict["reload"])) self.logxIcon = qt.QIcon(qt.QPixmap(IconDict["logx"])) self.logyIcon = qt.QIcon(qt.QPixmap(IconDict["logy"])) self.xAutoIcon = qt.QIcon(qt.QPixmap(IconDict["xauto"])) self.yAutoIcon = qt.QIcon(qt.QPixmap(IconDict["yauto"])) self.gridIcon = qt.QIcon(qt.QPixmap(IconDict["grid16"])) self.hFlipIcon = qt.QIcon(qt.QPixmap(IconDict["gioconda16mirror"])) self.togglePointsIcon = qt.QIcon(qt.QPixmap(IconDict["togglepoints"])) self.solidCircleIcon = qt.QIcon(qt.QPixmap(IconDict["solidcircle"])) self.solidEllipseIcon = qt.QIcon(qt.QPixmap(IconDict["solidellipse"])) self.fitIcon = qt.QIcon(qt.QPixmap(IconDict["fit"])) self.searchIcon = qt.QIcon(qt.QPixmap(IconDict["peaksearch"])) self.averageIcon = qt.QIcon(qt.QPixmap(IconDict["average16"])) self.deriveIcon = qt.QIcon(qt.QPixmap(IconDict["derive"])) self.smoothIcon = qt.QIcon(qt.QPixmap(IconDict["smooth"])) self.swapSignIcon = qt.QIcon(qt.QPixmap(IconDict["swapsign"])) self.yMinToZeroIcon = qt.QIcon(qt.QPixmap(IconDict["ymintozero"])) self.subtractIcon = qt.QIcon(qt.QPixmap(IconDict["subtract"])) self.colormapIcon = qt.QIcon(qt.QPixmap(IconDict["colormap"])) self.imageIcon = qt.QIcon(qt.QPixmap(IconDict["image"])) self.eraseSelectionIcon = qt.QIcon(qt.QPixmap(IconDict["eraseselect"])) self.rectSelectionIcon = qt.QIcon(qt.QPixmap(IconDict["boxselect"])) self.brushSelectionIcon = qt.QIcon(qt.QPixmap(IconDict["brushselect"])) self.brushIcon = qt.QIcon(qt.QPixmap(IconDict["brush"])) self.additionalIcon = qt.QIcon(qt.QPixmap(IconDict["additionalselect"])) self.polygonIcon = qt.QIcon(qt.QPixmap(IconDict["polygon"])) self.printIcon = qt.QIcon(qt.QPixmap(IconDict["fileprint"])) self.saveIcon = qt.QIcon(qt.QPixmap(IconDict["filesave"])) self.pluginIcon = qt.QIcon(qt.QPixmap(IconDict["plugin"])) def _buildToolBar(self, kw=None): if kw is None: kw = {} self.toolBar = qt.QToolBar(self) self.toolBarActionsDict = {} #Autoscale self._addToolButton(self.zoomResetIcon, self._zoomReset, 'Auto-Scale the Graph', key=None) #y Autoscale self.yAutoScaleButton = self._addToolButton(self.yAutoIcon, self._yAutoScaleToggle, 'Toggle Autoscale Y Axis (On/Off)', toggle = True, key=None) self.yAutoScaleButton.setChecked(True) self.yAutoScaleButton.setDown(True) #x Autoscale self.xAutoScaleButton = self._addToolButton(self.xAutoIcon, self._xAutoScaleToggle, 'Toggle Autoscale X Axis (On/Off)', toggle = True, key=None) self.xAutoScaleButton.setChecked(True) self.xAutoScaleButton.setDown(True) #y Logarithmic if kw.get('logy', True): self.yLogButton = self._addToolButton(self.logyIcon, self._toggleLogY, 'Toggle Logarithmic Y Axis (On/Off)', toggle = True, key='logy') self.yLogButton.setChecked(False) self.yLogButton.setDown(False) #x Logarithmic if kw.get('logx', True): self.xLogButton = self._addToolButton(self.logxIcon, self._toggleLogX, 'Toggle Logarithmic X Axis (On/Off)', toggle = True, key='logx') self.xLogButton.setChecked(False) self.xLogButton.setDown(False) #Aspect ratio if kw.get('aspect', False): self.aspectButton = self._addToolButton(self.solidCircleIcon, self._aspectButtonSignal, 'Keep data aspect ratio', toggle = False, key='aspect') self.aspectButton.setChecked(False) #self.aspectButton.setDown(False) #colormap if kw.get('colormap', False): tb = self._addToolButton(self.colormapIcon, self._colormapIconSignal, 'Change Colormap', key='colormap') self.colormapToolButton = tb if kw.get('normal', False): tb = self._addToolButton(self.normalIcon, self._normalIconSignal, 'Set normal (default) mode', key='normal') self.normalToolButton = tb # image and selection related icons if kw.get('imageIcons', False) or kw.get('imageicons', False): tb = self._addToolButton(self.imageIcon, self._imageIconSignal, 'Reset', key='image') self.imageToolButton = tb tb = self._addToolButton(self.eraseSelectionIcon, self._eraseSelectionIconSignal, 'Erase Selection', key="erase") self.eraseSelectionToolButton = tb tb = self._addToolButton(self.rectSelectionIcon, self._rectSelectionIconSignal, 'Rectangular Selection', key="rectangle") self.rectSelectionToolButton = tb tb = self._addToolButton(self.brushSelectionIcon, self._brushSelectionIconSignal, 'Brush Selection', key="brushSelection") self.brushSelectionToolButton = tb tb = self._addToolButton(self.brushIcon, self._brushIconSignal, 'Select Brush', key="brush") self.brushToolButton = tb if kw.get("polygon", False): tb = self._addToolButton(self.polygonIcon, self._polygonIconSignal, 'Polygon selection', key="polygon") self.polygonSelectionToolButton = tb tb = self._addToolButton(self.additionalIcon, self._additionalIconSignal, 'Additional Selections Menu', key="additional") self.additionalSelectionToolButton = tb else: if kw.get("polygon", False): tb = self._addToolButton(self.polygonIcon, self._polygonIconSignal, 'Polygon selection', key="polygon") self.polygonSelectionToolButton = tb self.imageToolButton = None #flip if kw.get('flip', False) or kw.get('hflip', False): tb = self._addToolButton(self.hFlipIcon, self._hFlipIconSignal, 'Flip Horizontal', key="hflip") self.hFlipToolButton = tb #grid if kw.get('grid', True): tb = self._addToolButton(self.gridIcon, self.changeGridLevel, 'Change Grid', toggle = False, key="grid") self.gridTb = tb #toggle Points/Lines if kw.get('togglePoints', True): tb = self._addToolButton(self.togglePointsIcon, self._togglePointsSignal, 'Toggle Points/Lines', key="togglePoints") #energy icon if kw.get('energy', False): self.energyButton = self._addToolButton(self.energyIcon, self._energyIconSignal, 'Toggle Energy Axis (On/Off)', toggle=True, key="energy") #roi icon if kw.get('roi', False): self.roiButton = self._addToolButton(self.roiIcon, self.__toggleROI, 'Show/Hide ROI widget', toggle=False, key="roi") self.currentROI = None self.middleROIMarkerFlag = False #fit icon if kw.get('fit', False): self.fitButton = self._addToolButton(self.fitIcon, self._fitIconSignal, 'Fit of Active Curve', key="fit") if self.newplotIconsFlag: tb = self._addToolButton(self.averageIcon, self._averageIconSignal, 'Average Plotted Curves') tb = self._addToolButton(self.deriveIcon, self._deriveIconSignal, 'Take Derivative of Active Curve') tb = self._addToolButton(self.smoothIcon, self._smoothIconSignal, 'Smooth Active Curve') tb = self._addToolButton(self.swapSignIcon, self._swapSignIconSignal, 'Multiply Active Curve by -1') tb = self._addToolButton(self.yMinToZeroIcon, self._yMinToZeroIconSignal, 'Force Y Minimum to be Zero') tb = self._addToolButton(self.subtractIcon, self._subtractIconSignal, 'Subtract Active Curve') #save infotext = 'Save Active Curve or Widget' tb = self._addToolButton(self.saveIcon, self._saveIconSignal, infotext) if self.pluginsIconFlag: infotext = "Call/Load 1D Plugins" tb = self._addToolButton(self.pluginIcon, self._pluginClicked, infotext) self.toolBar.addWidget(qt.HorizontalSpacer(self.toolBar)) # ---print tb = self._addToolButton(self.printIcon, self._printGraph, 'Prints the Graph') self.addToolBar(self.toolBar) def _printGraph(self): if self._printMenu is None: printMenu = qt.QMenu() #printMenu.addAction(QString("Select printer"), # self._printerSelect) printMenu.addAction(QString("Customize printing"), self._getPrintConfigurationFromDialog) printMenu.addAction(QString("Print"), self.printGraph) printMenu.exec_(self.cursor().pos()) else: self._printMenu.exec_(self.cursor().pos()) def printGraph(self, *var, **kw): config = self.getPrintConfiguration() PlotWidget.PlotWidget.printGraph(self, width=config['width'], height=config['height'], xOffset=config['xOffset'], yOffset=config['yOffset'], units=config['units'], keepAspectRatio=config['keepAspectRatio'], printer=self._printer) def setPrintConfiguration(self, configuration, printer=None): for key in self._printConfiguration: if key in configuration: self._printConfiguration[key] = configuration[key] if printer is not None: # printer should be a global thing ... self._printer = printer def getPrintConfiguration(self, dialog=False): if dialog: self._getPrintConfigurationFromDialog() return copy.deepcopy(self._printConfiguration) def _getPrintConfigurationFromDialog(self): if self._printConfigurationDialog is None: self._printConfigurationDialog = \ ObjectPrintConfigurationDialog(self) oldConfig = self.getPrintConfiguration() self._printConfigurationDialog.setPrintConfiguration(oldConfig, printer=self._printer) if self._printConfigurationDialog.exec_(): self.setPrintConfiguration(\ self._printConfigurationDialog.getPrintConfiguration()) def _addToolButton(self, icon, action, tip, toggle=None, key=None): tb = qt.QToolButton(self.toolBar) tb.setIcon(icon) tb.setToolTip(tip) if toggle is not None: if toggle: tb.setCheckable(1) qtAction = self.toolBar.addWidget(tb) if key is not None: if not hasattr(self, "toolBarActionsDict"): self.toolBarActionsDict = {} self.toolBarActionsDict[key] = qtAction tb.clicked.connect(action) return tb def setToolBarActionVisible(self, action, visible=True): if hasattr(self, "toolBarActionsDict"): for key in self.toolBarActionsDict: if hasattr(key, "lower") and hasattr(action, "lower"): if key.lower() == action.lower(): self.toolBarActionsDict[key].setVisible(visible) return elif key == action: self.toolBarActionsDict[key].setVisible(visible) return if DEBUG: print("Unhandled action %s" % action) def _aspectButtonSignal(self): if DEBUG: print("_aspectButtonSignal") if self._keepDataAspectRatioFlag: self.keepDataAspectRatio(False) else: self.keepDataAspectRatio(True) def keepDataAspectRatio(self, flag=True): if flag: self._keepDataAspectRatioFlag = True self.aspectButton.setIcon(self.solidEllipseIcon) self.aspectButton.setToolTip("Set free data aspect ratio") else: self._keepDataAspectRatioFlag = False self.aspectButton.setIcon(self.solidCircleIcon) self.aspectButton.setToolTip("Keep data aspect ratio") super(PlotWindow, self).keepDataAspectRatio(self._keepDataAspectRatioFlag) def _zoomReset(self): if DEBUG: print("_zoomReset") self.resetZoom() def _yAutoScaleToggle(self): if DEBUG: print("toggle Y auto scaling") if self.isYAxisAutoScale(): self.setYAxisAutoScale(False) self.yAutoScaleButton.setDown(False) self.yAutoScaleButton.setChecked(False) ymin, ymax = self.getGraphYLimits() self.setGraphYLimits(ymin, ymax) else: self.setYAxisAutoScale(True) self.yAutoScaleButton.setDown(True) self.resetZoom() def _xAutoScaleToggle(self): if DEBUG: print("toggle X auto scaling") if self.isXAxisAutoScale(): self.setXAxisAutoScale(False) self.xAutoScaleButton.setDown(False) self.xAutoScaleButton.setChecked(False) xmin, xmax = self.getGraphXLimits() self.setGraphXLimits(xmin, xmax) else: self.setXAxisAutoScale(True) self.xAutoScaleButton.setDown(True) self.resetZoom() def _toggleLogX(self): if DEBUG: print("toggle logarithmic X scale") if self.isXAxisLogarithmic(): self.setXAxisLogarithmic(False) else: self.setXAxisLogarithmic(True) def setXAxisLogarithmic(self, flag=True): super(PlotWindow, self).setXAxisLogarithmic(flag) self.xLogButton.setChecked(flag) self.xLogButton.setDown(flag) self.replot() self.resetZoom() def _toggleLogY(self): if DEBUG: print("_toggleLogY") if self.isYAxisLogarithmic(): self.setYAxisLogarithmic(False) else: self.setYAxisLogarithmic(True) def setYAxisLogarithmic(self, flag=True): super(PlotWindow, self).setYAxisLogarithmic(flag) self.yLogButton.setChecked(flag) self.yLogButton.setDown(flag) # TODO: setYAxisLogarithmic already calls replot # in addition resetZoom also does it self.replot() self.resetZoom() def _togglePointsSignal(self): if DEBUG: print("toggle points signal") self._toggleCounter = (self._toggleCounter + 1) % 3 if self._toggleCounter == 1: self.setDefaultPlotLines(True) self.setDefaultPlotPoints(True) elif self._toggleCounter == 2: self.setDefaultPlotLines(False) self.setDefaultPlotPoints(True) else: self.setDefaultPlotLines(True) self.setDefaultPlotPoints(False) self.replot() def _hFlipIconSignal(self): if DEBUG: print("_hFlipIconSignal called") if self.isYAxisInverted(): self.invertYAxis(False) else: self.invertYAxis(True) def _colormapIconSignal(self): image = self.getActiveImage() if image is None: return image, legend, info, pixmap = image[:4] if pixmap is not None: # image contains the data and pixmap contains its representation if self.colormapDialog is None: self._initColormapDialog(image) self.colormapDialog.show() elif image is not None and info["plot_colormap"] is not None: if self.colormapDialog is None: self._initColormapDialog(image, info['plot_colormap']) self.colormapDialog.show() else: print("No colormap to be handled") return def _initColormapDialog(self, imageData, colormap=None): """Set-up the colormap dialog default values. :param numpy.ndarray imageData: data used to init dialog. :param dict colormap: Description of the colormap as a dict. See :class:`PlotBackend` for details. If None, use default values. """ if not COLORMAP_DIALOG: raise ImportError("ColormapDialog could not be imported") goodData = imageData[numpy.isfinite(imageData)] if goodData.size > 0: maxData = goodData.max() minData = goodData.min() else: qt.QMessageBox.critical(self, "No Data", "Image data does not contain any real value") return self.colormapDialog = ColormapDialog.ColormapDialog(self) if colormap is None: colormapIndex = self.DEFAULT_COLORMAP_INDEX if colormapIndex == 6: colormapIndex = 1 self.colormapDialog.setColormap(colormapIndex) self.colormapDialog.setDataMinMax(minData, maxData) self.colormapDialog.setAutoscale(1) self.colormapDialog.setColormap(self.colormapDialog.colormapIndex) # linear or logarithmic self.colormapDialog.setColormapType(self.DEFAULT_COLORMAP_LOG_FLAG, update=False) else: # Set-up colormap dialog from provided colormap dict cmapList = ColormapDialog.colormapDictToList(colormap) index, autoscale, vMin, vMax, dataMin, dataMax, cmapType = cmapList self.colormapDialog.setColormap(index) self.colormapDialog.setAutoscale(autoscale) self.colormapDialog.setMinValue(vMin) self.colormapDialog.setMaxValue(vMax) self.colormapDialog.setDataMinMax(minData, maxData) self.colormapDialog.setColormapType(cmapType, update=False) self.colormap = self.colormapDialog.getColormap() # Is it used? self.colormapDialog.setWindowTitle("Colormap Dialog") self.colormapDialog.sigColormapChanged.connect(\ self.updateActiveImageColormap) self.colormapDialog._update() def updateActiveImageColormap(self, colormap, replot=True): if len(colormap) == 1: colormap = colormap[0] # TODO: Once everything is ready to work with dict instead of # list, we can remove this translation plotBackendColormap = ColormapDialog.colormapListToDict(colormap) self.setDefaultColormap(plotBackendColormap) self.sigColormapChangedSignal.emit(plotBackendColormap) image = self.getActiveImage() if image is None: if self.colormapDialog is not None: self.colormapDialog.hide() return image, legend, info, pixmap = image[:4] if self.usePlotBackendColormap: self.addImage(image, legend=legend, info=info, colormap=plotBackendColormap, replot=replot) else: if pixmap is None: if self.colormapDialog is not None: self.colormapDialog.hide() return pixmap = MaskImageTools.getPixmapFromData(image, colormap) self.addImage(image, legend=legend, info=info, pixmap=pixmap, replot=replot) def _normalIconSignal(self): if DEBUG: print("_normalIconSignal") # default implementation is setting zoom mode self.setZoomModeEnabled(True) def showRoiWidget(self, position=None): self._toggleROI(position) def __toggleROI(self): self._toggleROI() def _toggleROI(self, position=None): if DEBUG: print("_toggleROI called") if self.roiWidget is None: self.roiWidget = McaROIWidget.McaROIWidget() self.roiDockWidget = qt.QDockWidget(self) self.roiDockWidget.layout().setContentsMargins(0, 0, 0, 0) self.roiDockWidget.setWidget(self.roiWidget) if position in [None, False]: w = self.centralWidget().width() h = self.centralWidget().height() if w > (1.25 * h): self.addDockWidget(qt.Qt.RightDockWidgetArea, self.roiDockWidget) else: self.addDockWidget(qt.Qt.BottomDockWidgetArea, self.roiDockWidget) else: self.addDockWidget(position, self.roiDockWidget) if hasattr(self, "legendDockWidget"): self.tabifyDockWidget(self.legendDockWidget, self.roiDockWidget) self.roiWidget.sigMcaROIWidgetSignal.connect(self._roiSignal) self.roiDockWidget.setWindowTitle(self.windowTitle()+(" ROI")) # initialize with the ICR self._roiSignal({'event': "AddROI"}) if self.roiDockWidget.isHidden(): self.roiDockWidget.show() else: self.roiDockWidget.hide() def changeGridLevel(self): self.gridLevel += 1 #self.gridLevel = self.gridLevel % 3 self.gridLevel = self.gridLevel % 2 if self.gridLevel == 0: self.showGrid(False) elif self.gridLevel == 1: self.showGrid(1) elif self.gridLevel == 2: self.showGrid(2) self.replot() def emitIconSignal(self, key, event="iconClicked"): ddict = {} ddict["key"] = key ddict["event"] = event self.sigIconSignal.emit(ddict) def _energyIconSignal(self): if DEBUG: print("energy icon signal default implementation") self.emitIconSignal("energy") def _fitIconSignal(self): if DEBUG: print("fit icon signal default implementation") self.emitIconSignal("fit") def _averageIconSignal(self): if DEBUG: print("average icon signal default implementation") self.emitIconSignal("average") def _deriveIconSignal(self): if DEBUG: print("deriveIconSignal default implementation") self.emitIconSignal("derive") def _smoothIconSignal(self): if DEBUG: print("smoothIconSignal default implementation") self.emitIconSignal("smooth") def _swapSignIconSignal(self): if DEBUG: print("_swapSignIconSignal default implementation") self.emitIconSignal("swap") def _yMinToZeroIconSignal(self): if DEBUG: print("_yMinToZeroIconSignal default implementation") self.emitIconSignal("ymintozero") def _subtractIconSignal(self): if DEBUG: print("_subtractIconSignal default implementation") self.emitIconSignal("subtract") def _saveIconSignal(self): if DEBUG: print("_saveIconSignal default implementation") if self._ownSave: self.defaultSaveAction() else: self.emitIconSignal("save") def _imageIconSignal(self): if DEBUG: print("_imageIconSignal default implementation") self.emitIconSignal("image") def _eraseSelectionIconSignal(self): if DEBUG: print("_eraseSelectionIconSignal default implementation") self.emitIconSignal("erase") def _rectSelectionIconSignal(self): if DEBUG: print("_rectSelectionIconSignal") #default implementation set drawing mode with a mask self.setDrawModeEnabled(True, shape="rectangle", label="mask") def _brushSelectionIconSignal(self): if DEBUG: print("_brushSelectionIconSignal default implementation") self.emitIconSignal("brushSelection") def _brushIconSignal(self): if DEBUG: print("_brushIconSignal default implementation") self.emitIconSignal("brush") def _additionalIconSignal(self): if DEBUG: print("_additionalIconSignal default implementation") self.emitIconSignal("additional") def _polygonIconSignal(self): if DEBUG: print("_polygonIconSignal") #default implementation set drawing mode with a mask self.setDrawModeEnabled(True, shape="polygon", label="mask") def _pluginClicked(self): actionList = [] menu = qt.QMenu(self) text = QString("Reload Plugins") menu.addAction(text) actionList.append(text) text = QString("Set User Plugin Directory") menu.addAction(text) actionList.append(text) global DEBUG if DEBUG: text = QString("Toggle DEBUG mode OFF") else: text = QString("Toggle DEBUG mode ON") menu.addAction(text) actionList.append(text) menu.addSeparator() callableKeys = ["Dummy0", "Dummy1", "Dummy2"] for m in self.pluginList: if m in ["PyMcaPlugins.Plugin1DBase", "Plugin1DBase"]: continue module = sys.modules[m] if hasattr(module, 'MENU_TEXT'): text = QString(module.MENU_TEXT) else: text = os.path.basename(module.__file__) if text.endswith('.pyc'): text = text[:-4] elif text.endswith('.py'): text = text[:-3] text = QString(text) methods = self.pluginInstanceDict[m].getMethods(plottype=self._plotType) if not len(methods): continue elif len(methods) == 1: pixmap = self.pluginInstanceDict[m].getMethodPixmap(methods[0]) tip = QString(self.pluginInstanceDict[m].getMethodToolTip(methods[0])) if pixmap is not None: action = qt.QAction(qt.QIcon(qt.QPixmap(pixmap)), text, self) else: action = qt.QAction(text, self) if tip is not None: action.setToolTip(tip) menu.addAction(action) else: menu.addAction(text) actionList.append(text) callableKeys.append(m) menu.hovered.connect(self._actionHovered) a = menu.exec_(qt.QCursor.pos()) if a is None: return None idx = actionList.index(a.text()) if idx == 0: n, message = self.getPlugins(exceptions=True) if n < 1: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Information) msg.setWindowTitle("No plugins") msg.setInformativeText(" Problem loading plugins ") msg.setDetailedText(message) msg.exec_() return if idx == 1: dirName = qt.safe_str(qt.QFileDialog.getExistingDirectory(self, "Enter user plugins directory", os.getcwd())) if len(dirName): pluginsDir = self.getPluginDirectoryList() pluginsDirList = [pluginsDir[0], dirName] self.setPluginDirectoryList(pluginsDirList) return if idx == 2: if DEBUG: DEBUG = 0 else: DEBUG = 1 return key = callableKeys[idx] methods = self.pluginInstanceDict[key].getMethods(plottype=self._plotType) if len(methods) == 1: idx = 0 else: actionList = [] # allow the plugin designer to specify the order #methods.sort() menu = qt.QMenu(self) for method in methods: text = QString(method) pixmap = self.pluginInstanceDict[key].getMethodPixmap(method) tip = QString(self.pluginInstanceDict[key].getMethodToolTip(method)) if pixmap is not None: action = qt.QAction(qt.QIcon(qt.QPixmap(pixmap)), text, self) else: action = qt.QAction(text, self) if tip is not None: action.setToolTip(tip) menu.addAction(action) actionList.append((text, pixmap, tip, action)) #qt.QObject.connect(menu, qt.SIGNAL("hovered(QAction *)"), self._actionHovered) menu.hovered.connect(self._actionHovered) a = menu.exec_(qt.QCursor.pos()) if a is None: return None idx = -1 for action in actionList: if a.text() == action[0]: idx = actionList.index(action) try: self.pluginInstanceDict[key].applyMethod(methods[idx]) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Plugin error") msg.setText("An error has occured while executing the plugin:") msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() def _actionHovered(self, action): tip = action.toolTip() if str(tip) != str(action.text()): qt.QToolTip.showText(qt.QCursor.pos(), tip) else: # hideText was introduced in Qt 4.2 if hasattr(qt.QToolTip, "hideText"): qt.QToolTip.hideText() else: qt.QToolTip.showText(qt.QCursor.pos(), "") ########### ROI HANDLING ############### def graphCallback(self, ddict=None): if DEBUG: print("_graphSignalReceived", ddict) if ddict is None: ddict = {} if ddict['event'] in ['markerMoved', 'markerSelected']: label = ddict['label'] if label in ['ROI min', 'ROI max', 'ROI middle']: self._handleROIMarkerEvent(ddict) if ddict['event'] in ["curveClicked", "legendClicked"] and \ self.isActiveCurveHandlingEnabled(): legend = ddict["label"] self.setActiveCurve(legend) if ddict['event'] in ['mouseMoved']: self._handleMouseMovedEvent(ddict) #make sure the signal is forwarded #super(PlotWindow, self).graphCallback(ddict) self.sigPlotSignal.emit(ddict) def _handleMouseMovedEvent(self, ddict): if hasattr(self, "_xPos"): self._xPos.setText('%.7g' % ddict['x']) self._yPos.setText('%.7g' % ddict['y']) def setActiveCurve(self, legend, replot=True): PlotWidget.PlotWidget.setActiveCurve(self, legend, replot=replot) self.calculateROIs() self.updateLegends() def _handleROIMarkerEvent(self, ddict): if ddict['event'] == 'markerMoved': roiList, roiDict = self.roiWidget.getROIListAndDict() if self.currentROI is None: return if self.currentROI not in roiDict: return x = ddict['x'] label = ddict['label'] if label == 'ROI min': roiDict[self.currentROI]['from'] = x if self._middleROIMarkerFlag: pos = 0.5 * (roiDict[self.currentROI]['to'] +\ roiDict[self.currentROI]['from']) self.insertXMarker(pos, legend='ROI middle', text='', color='yellow', draggable=True) elif label == 'ROI max': roiDict[self.currentROI]['to'] = x if self._middleROIMarkerFlag: pos = 0.5 * (roiDict[self.currentROI]['to'] +\ roiDict[self.currentROI]['from']) self.insertXMarker(pos, legend='ROI middle', text='', color='yellow', draggable=True) elif label == 'ROI middle': delta = x - 0.5 * (roiDict[self.currentROI]['from'] + \ roiDict[self.currentROI]['to']) roiDict[self.currentROI]['from'] += delta roiDict[self.currentROI]['to'] += delta self.insertXMarker(roiDict[self.currentROI]['from'], legend='ROI min', text='ROI min', color='blue', draggable=True) self.insertXMarker(roiDict[self.currentROI]['to'], legend='ROI max', text='ROI max', color='blue', draggable=True) else: return self.calculateROIs(roiList, roiDict) self.emitCurrentROISignal() def _roiSignal(self, ddict): if DEBUG: print("PlotWindow._roiSignal ", ddict) if ddict['event'] == "AddROI": xmin,xmax = self.getGraphXLimits() fromdata = xmin + 0.25 * (xmax - xmin) todata = xmin + 0.75 * (xmax - xmin) self.removeMarker('ROI min') self.removeMarker('ROI max') if self._middleROIMarkerFlag: self.removeMarker('ROI middle') roiList, roiDict = self.roiWidget.getROIListAndDict() nrois = len(roiList) if nrois == 0: newroi = "ICR" fromdata, dummy0, todata, dummy1 = self._getAllLimits() draggable = False color = 'black' else: for i in range(nrois): i += 1 newroi = "newroi %d" % i if newroi not in roiList: break color = 'blue' draggable = True self.insertXMarker(fromdata, legend='ROI min', text='ROI min', color=color, draggable=draggable) self.insertXMarker(todata, legend='ROI max', text='ROI max', color=color, draggable=draggable) if draggable and self._middleROIMarkerFlag: pos = 0.5 * (fromdata + todata) self.insertXMarker(pos, legend='ROI middle', text="", color='yellow', draggable=draggable) roiList.append(newroi) roiDict[newroi] = {} if newroi == "ICR": roiDict[newroi]['type'] = "Default" else: roiDict[newroi]['type'] = self.getGraphXLabel() roiDict[newroi]['from'] = fromdata roiDict[newroi]['to'] = todata self.roiWidget.fillFromROIDict(roilist=roiList, roidict=roiDict, currentroi=newroi) self.currentROI = newroi self.calculateROIs() elif ddict['event'] in ['DelROI', "ResetROI"]: self.removeMarker('ROI min') self.removeMarker('ROI max') if self._middleROIMarkerFlag: self.removeMarker('ROI middle') roiList, roiDict = self.roiWidget.getROIListAndDict() roiDictKeys = list(roiDict.keys()) if len(roiDictKeys): currentroi = roiDictKeys[0] else: # create again the ICR ddict = {"event":"AddROI"} return self._roiSignal(ddict) currentroi = None self.roiWidget.fillFromROIDict(roilist=roiList, roidict=roiDict, currentroi=currentroi) self.currentROI = currentroi elif ddict['event'] == 'ActiveROI': print("ActiveROI event") pass elif ddict['event'] == 'selectionChanged': if DEBUG: print("Selection changed") self.roilist, self.roidict = self.roiWidget.getROIListAndDict() fromdata = ddict['roi']['from'] todata = ddict['roi']['to'] self.removeMarker('ROI min') self.removeMarker('ROI max') if ddict['key'] == 'ICR': draggable = False color = 'black' else: draggable = True color = 'blue' self.insertXMarker(fromdata, legend= 'ROI min', text= 'ROI min', color=color, draggable=draggable) self.insertXMarker(todata, legend= 'ROI max', text= 'ROI max', color=color, draggable=draggable) if draggable and self._middleROIMarkerFlag: pos = 0.5 * (fromdata + todata) self.insertXMarker(pos, legend='ROI middle', text="", color='yellow', draggable=True) self.currentROI = ddict['key'] if ddict['colheader'] in ['From', 'To']: dict0 ={} dict0['event'] = "SetActiveCurveEvent" dict0['legend'] = self.getActiveCurve(just_legend=1) self.setActiveCurve(dict0['legend']) elif ddict['colheader'] == 'Raw Counts': pass elif ddict['colheader'] == 'Net Counts': pass else: self.emitCurrentROISignal() else: if DEBUG: print("Unknown or ignored event", ddict['event']) def emitCurrentROISignal(self): ddict = {} ddict['event'] = "currentROISignal" roiList, roiDict = self.roiWidget.getROIListAndDict() if self.currentROI in roiDict: ddict['ROI'] = roiDict[self.currentROI] else: self.currentROI = None ddict['current'] = self.currentROI self.sigROISignal.emit(ddict) def calculateROIs(self, *var, **kw): if not hasattr(self, "roiWidget"): return if self.roiWidget is None: return if len(var) == 0: roiList, roiDict = self.roiWidget.getROIListAndDict() elif len(var) == 2: roiList = var[0] roiDict = var[1] else: raise ValueError("Expected roiList and roiDict or nothing") update = kw.get("update", True) activeCurve = self.getActiveCurve(just_legend=False) if activeCurve is None: xproc = None yproc = None self.roiWidget.setHeader('ROIs of XXXXXXXXXX<\b>') elif len(activeCurve): x, y, legend = activeCurve[0:3] idx = argsort(x, kind='mergesort') xproc = take(x, idx) yproc = take(y, idx) self.roiWidget.setHeader('ROIs of %s<\b>' % legend) else: xproc = None yproc = None self.roiWidget.setHeader('ROIs of XXXXXXXXXX<\b>') for key in roiList: #roiDict[key]['rawcounts'] = " ?????? " #roiDict[key]['netcounts'] = " ?????? " if key == 'ICR': if xproc is not None: roiDict[key]['from'] = xproc.min() roiDict[key]['to'] = xproc.max() else: roiDict[key]['from'] = 0 roiDict[key]['to'] = -1 fromData = roiDict[key]['from'] toData = roiDict[key]['to'] if xproc is not None: idx = nonzero((fromData <= xproc) &\ (xproc <= toData))[0] if len(idx): xw = xproc[idx] yw = yproc[idx] rawCounts = yw.sum(dtype=numpy.float) deltaX = xw[-1] - xw[0] deltaY = yw[-1] - yw[0] if deltaX > 0.0: slope = (deltaY/deltaX) background = yw[0] + slope * (xw - xw[0]) netCounts = rawCounts -\ background.sum(dtype=numpy.float) else: netCounts = 0.0 else: rawCounts = 0.0 netCounts = 0.0 roiDict[key]['rawcounts'] = rawCounts roiDict[key]['netcounts'] = netCounts if update: if self.currentROI in roiList: self.roiWidget.fillFromROIDict(roilist=roiList, roidict=roiDict, currentroi=self.currentROI) else: self.roiWidget.fillFromROIDict(roilist=roiList, roidict=roiDict) else: return roiList, roiDict def _buildLegendWidget(self): if self.legendWidget is None: self.legendWidget = LegendSelector.LegendListView() self.legendDockWidget = qt.QDockWidget(self) self.legendDockWidget.layout().setContentsMargins(0, 0, 0, 0) self.legendDockWidget.setWidget(self.legendWidget) w = self.centralWidget().width() h = self.centralWidget().height() if w > (1.25 * h): self.addDockWidget(qt.Qt.RightDockWidgetArea, self.legendDockWidget) else: self.addDockWidget(qt.Qt.BottomDockWidgetArea, self.legendDockWidget) if hasattr(self, "roiDockWidget"): if self.roiDockWidget is not None: self.tabifyDockWidget(self.roiDockWidget, self.legendDockWidget) self.legendWidget.sigLegendSignal.connect(self._legendSignal) self.legendDockWidget.setWindowTitle(self.windowTitle()+(" Legend")) def _legendSignal(self, ddict): if DEBUG: print("Legend signal ddict = ", ddict) if ddict['event'] == "legendClicked": if ddict['button'] == "left": ddict['label'] = ddict['legend'] self.graphCallback(ddict) elif ddict['event'] == "removeCurve": ddict['label'] = ddict['legend'] self.removeCurve(ddict['legend'], replot=True) elif ddict['event'] == "renameCurve": ddict['label'] = ddict['legend'] curveList = self.getAllCurves(just_legend=True) oldLegend = ddict['legend'] dialog = RenameCurveDialog.RenameCurveDialog(self, oldLegend, curveList) ret = dialog.exec_() if ret: newLegend = dialog.getText() self.renameCurve(oldLegend, newLegend, replot=True) elif ddict['event'] == "setActiveCurve": ddict['event'] = 'legendClicked' ddict['label'] = ddict['legend'] self.graphCallback(ddict) elif ddict['event'] == "checkBoxClicked": if ddict['selected']: self.hideCurve(ddict['legend'], False) else: self.hideCurve(ddict['legend'], True) elif ddict['event'] in ["mapToRight", "mapToLeft"]: legend = ddict['legend'] x, y, legend, info = self._curveDict[legend][0:4] if ddict['event'] == "mapToRight": yaxis = "right" else: yaxis = "left" self.addCurve(x, y, legend=legend, info=info, yaxis=yaxis) elif ddict['event'] == "togglePoints": legend = ddict['legend'] x, y, legend, info = self._curveDict[legend][0:4] if ddict['points']: symbol = 'o' else: symbol = '' # TODO: Limits should be kept self.addCurve(x, y, legend=legend, info=info, symbol=symbol) self.updateLegends() elif ddict['event'] == "toggleLine": legend = ddict['legend'] x, y, legend, info = self._curveDict[legend][0:4] # TODO: Limits should be kept if ddict['line']: self.addCurve(x, y, legend=legend, info=info, linestyle="-") else: self.addCurve(x, y, legend, info=info, linestyle="") self.updateLegends() elif DEBUG: print("unhandled event", ddict['event']) def renameCurve(self, oldLegend, newLegend, replot=True): x, y,legend, info = self._curveDict[oldLegend][0:4] self.removeCurve(oldLegend, replot=False) self.addCurve(x, y, legend=newLegend, info=info, replot=True) self.updateLegends() def toggleLegendWidget(self): if self.legendWidget is None: self.showLegends(True) elif self.legendDockWidget.isHidden(): self.showLegends(True) else: self.showLegends(False) def toggleCrosshairCursor(self): if self.getGraphCursor(): self.setGraphCursor(False) else: self.setGraphCursor(True, color="red", linewidth=1, linestyle="-") def toggleArrowKeysPanning(self): if self.isPanWithArrowKeys(): self.setPanWithArrowKeys(False) else: self.setPanWithArrowKeys(True) def showLegends(self, flag=True): if self.legendWidget is None: self._buildLegendWidget() self.updateLegends() if flag: self.legendDockWidget.show() self.updateLegends() else: self.legendDockWidget.hide() def updateLegends(self): if self.legendWidget is None: return if self.legendDockWidget.isHidden(): return legendList = [] * len(self._curveList) for i in range(len(self._curveList)): legend = self._curveList[i] color = self._curveDict[legend][3].get('plot_color', '#000000') color = qt.QColor(color) linewidth = self._curveDict[legend][3].get('plot_line_width', 2) symbol = self._curveDict[legend][3].get('plot_symbol', None) if self.isCurveHidden(legend): selected = False else: selected = True ddict={'color':color, 'linewidth':linewidth, 'symbol':symbol, 'selected':selected} legendList.append((legend, ddict)) self.legendWidget.setLegendList(legendList) def setMiddleROIMarkerFlag(self, flag=True): if flag: self._middleROIMarkerFlag = True else: self._middleROIMarkerFlag= False def setMouseText(self, text=""): try: if len(text): qt.QToolTip.showText(self.cursor().pos(), text, self, qt.QRect()) else: qt.QToolTip.hideText() except: print("Error trying to show mouse text <%s>" % text) def defaultSaveAction(self): """ Default save implementation. It handles saving of curves or the complete widget. """ filename = self._getOutputFileName() if filename is None: return filterused = filename[2] filetype = filename[1] filename = filename[0] if os.path.exists(filename): os.remove(filename) if filterused[0].upper() == "WIDGET": fformat = filename[-3:].upper() pixmap = qt.QPixmap.grabWidget(self) if not pixmap.save(filename, fformat): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() return try: if sys.version_info.major >= 3: ffile = open(filename, 'w', newline='\n') else: ffile = open(filename,'wb') except IOError: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setInformativeText("Input Output Error: %s" % (sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() return try: if not len(self._curveList): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setInformativeText("No curve to be saved") msg.setDetailedText(traceback.format_exc()) msg.exec_() return activeCurve = self.getActiveCurve() if activeCurve is None: activeCurve = self._curveDict[self._curveList[0]] x, y, legend, info = activeCurve xlabel = self.getGraphXLabel() ylabel = self.getGraphYLabel() if filetype.lower() in ["scan", "multiscan"]: # write header ffile.write("#F %s\n" % filename) savingDate = "#D %s\n"%(time.ctime(time.time())) ffile.write(savingDate) ffile.write("\n") ffile.write("#S 1 %s\n" % legend) ffile.write(savingDate) ffile.write("#N 2\n") ffile.write("#L %s %s\n" % (info.get("xlabel", xlabel), info.get("ylabel", ylabel))) for i in range(len(y)): ffile.write("%.7g %.7g\n" % (x[i], y[i])) ffile.write("\n") if filetype.lower() == "multiscan": scan_n = 1 for key in self._curveList: if key not in self._curveDict: continue if key == legend: # active curve already saved continue x, y, newLegend, info = self._curveDict[key] scan_n += 1 ffile.write("#S %d %s\n" % (scan_n, key)) ffile.write(savingDate) ffile.write("#N 2\n") ffile.write("#L %s %s\n" % (info.get("xlabel", xlabel), info.get("ylabel", ylabel))) for i in range(len(y)): ffile.write("%.7g %.7g\n" % (x[i], y[i])) ffile.write("\n") elif filetype == 'ASCII': for i in range(len(y)): ffile.write("%.7g %.7g\n" % (x[i], y[i])) elif filetype == 'CSV': if "," in filterused[0]: csvseparator = "," elif ";" in filterused[0]: csvseparator = ";" elif "OMNIC" in filterused[0]: csvseparator = "," else: csvseparator = "\t" if "OMNIC" not in filterused[0]: ffile.write('"%s"%s"%s"\n' % (xlabel, csvseparator, ylabel)) for i in range(len(y)): ffile.write("%.7E%s%.7E\n" % (x[i], csvseparator,y[i])) else: ffile.write("#F %s\n" % filename) ffile.write("#D %s\n"%(time.ctime(time.time()))) ffile.write("\n") ffile.write("#S 1 %s\n" % legend) ffile.write("#D %s\n"%(time.ctime(time.time()))) ffile.write("#@MCA %16C\n") ffile.write("#@CHANN %d %d %d 1\n" % (len(y), x[0], x[-1])) ffile.write("#@CALIB %.7g %.7g %.7g\n" % (0, 1, 0)) ffile.write(self.array2SpecMca(y)) ffile.write("\n") ffile.close() except: ffile.close() msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setInformativeText("Error while saving: %s" % (sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() def _getOutputFileName(self): outfile = qt.QFileDialog(self) outfile.setWindowTitle("Output File Selection") outfile.setModal(1) filterlist = ['Specfile MultiScan *.dat', 'Specfile Scan *.dat', 'Specfile MCA *.mca', 'Raw ASCII *.txt', '","-separated CSV *.csv', '";"-separated CSV *.csv', '"tab"-separated CSV *.csv', 'OMNIC CSV *.csv', 'Widget PNG *.png', 'Widget JPG *.jpg'] if hasattr(outfile, "setFilters"): outfile.setFilters(filterlist) else: outfile.setNameFilters(filterlist) outfile.setFileMode(outfile.AnyFile) outfile.setAcceptMode(outfile.AcceptSave) ret = outfile.exec_() if not ret: return None if hasattr(outfile, "selectredFilter"): outputFilter = qt.safe_str(outfile.selectedFilter()) else: outputFilter = qt.safe_str(outfile.selectedNameFilter()) filterused = outputFilter.split() filetype = filterused[1] extension = filterused[2] outputFile = qt.safe_str(outfile.selectedFiles()[0]) outfile.close() del outfile if len(outputFile) < 5: outputFile = outputFile + extension[-4:] elif outputFile[-4:] != extension[-4:]: outputFile = outputFile + extension[-4:] return outputFile, filetype, filterused def array2SpecMca(self, data): """ Write a python array into a Spec array. Return the string containing the Spec array """ tmpstr = "@A " length = len(data) for idx in range(0, length, 16): if idx+15 < length: for i in range(0, 16): tmpstr += "%.8g " % data[idx+i] if idx+16 != length: tmpstr += "\\" else: for i in range(idx, length): tmpstr += "%.8g " % data[i] tmpstr += "\n" return tmpstr if __name__ == "__main__": x = numpy.arange(100.) y = x * x app = qt.QApplication([]) backend = None if ("opengl" in sys.argv) or ("gl" in sys.argv) or ("OpenGL" in sys.argv): backend = "opengl" elif "pyqtgraph" in sys.argv: backend = "pyqtgraph" plot = PlotWindow(backend=backend, roi=True, control=True, position=True, colormap=True)#uselegendmenu=True) plot.setPanWithArrowKeys(True) plot.show() plot.addCurve(x, y, "dummy") plot.addCurve(x+100, x*x) plot.addCurve(x, -y, "- dummy") print("Active curve = ", plot.getActiveCurve(just_legend=True)) print("X Limits = ", plot.getGraphXLimits()) print("Y Limits = ", plot.getGraphYLimits()) print("All curves = ", plot.getAllCurves(just_legend=True)) image = numpy.arange(10000).reshape(100, 100) plot.addImage(image, xScale=(0, 1), yScale=(0, 10), pixmap=MaskImageTools.getPixmapFromData(image)) def iconSlot(ddict): print(ddict) plot.sigIconSignal.connect(iconSlot) #plot.removeCurve("dummy") #plot.addCurve(x, 2 * y, "dummy 2") #print("All curves = ", plot.getAllCurves()) app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/LegendSelector.py0000644000276300001750000010610513173367502022622 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2015-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "T. Rueter - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt from .PyMca_Icons import IconDict if hasattr(qt, "QString"): QString = qt.QString elif hasattr(qt, "safe_str"): QString = qt.safe_str else: QString= str if hasattr(qt, 'QVariant'): QVariant = qt.QVariant else: def QVariant(x=None): return x def convertToPyObject(x): if hasattr(x, "toPyObject"): return x.toPyObject() else: return x DEBUG = 0 # Build all symbols # Courtesy of the pyqtgraph project Symbols = dict([(name, qt.QPainterPath()) for name in ['o', 's', 't', 'd', '+', 'x', '.', ',']]) Symbols['o'].addEllipse(qt.QRectF(.1, .1, .8, .8)) Symbols['.'].addEllipse(qt.QRectF(.3, .3, .4, .4)) Symbols[','].addEllipse(qt.QRectF(.4, .4, .2, .2)) Symbols['s'].addRect(qt.QRectF(.1, .1, .8, .8)) coords = { 't': [(0.5, 0.), (.1,.8), (.9, .8)], 'd': [(0.1, 0.5), (0.5, 0.), (0.9, 0.5), (0.5, 1.)], '+': [(0.0, 0.40), (0.40, 0.40), (0.40, 0.), (0.60, 0.), (0.60, 0.40), (1., 0.40), (1., 0.60), (0.60, 0.60), (0.60, 1.), (0.40, 1.), (0.40, 0.60), (0., 0.60)], 'x': [(0.0, 0.40), (0.40, 0.40), (0.40, 0.), (0.60, 0.), (0.60, 0.40), (1., 0.40), (1., 0.60), (0.60, 0.60), (0.60, 1.), (0.40, 1.), (0.40, 0.60), (0., 0.60)] } for s, c in coords.items(): Symbols[s].moveTo(*c[0]) for x,y in c[1:]: Symbols[s].lineTo(x, y) Symbols[s].closeSubpath() tr = qt.QTransform() tr.rotate(45) Symbols['x'].translate(qt.QPointF(-0.5,-0.5)) Symbols['x'] = tr.map(Symbols['x']) Symbols['x'].translate(qt.QPointF(0.5,0.5)) class LegendIcon(qt.QWidget): def __init__(self, parent=None): super(LegendIcon, self).__init__(parent) # Visibilities self.showLine = True self.showSymbol = True # Line attributes self.lineStyle = qt.Qt.SolidLine self.lineWidth = 1. self.lineColor = qt.Qt.green self.symbol = '' # Symbol attributes self.symbolStyle = qt.Qt.SolidPattern self.symbolColor = qt.Qt.green self.symbolOutlineBrush = qt.QBrush(qt.Qt.white) # Control widget size: sizeHint "is the only acceptable # alternative, so the widget can never grow or shrink" # (c.f. Qt Doc, enum QSizePolicy::Policy) self.setSizePolicy(qt.QSizePolicy.Fixed, qt.QSizePolicy.Fixed) def sizeHint(self): return qt.QSize(50,15) # Modify Symbol def setSymbol(self, symbol): symbol = qt.safe_str(symbol) if symbol not in [None, "None", "", " "]: if symbol not in Symbols: raise ValueError("Unknown symbol: <%s>" % symbol) self.symbol = symbol # self.update() after set...? # Does not seem necessary def setSymbolColor(self, color): ''' :param color: determines the symbol color :type style: qt.QColor ''' self.symbolColor = qt.QColor(color) def setSymbolStyle(self, style): ''' :param style: Must be in Qt.BrushStyle :type style: int Possible joices are: Qt.NoBrush Qt.SolidPattern Qt.Dense1Pattern Qt.Dense2Pattern Qt.Dense3Pattern Qt.Dense4Pattern Qt.Dense5Pattern Qt.Dense6Pattern Qt.Dense7Pattern Qt.HorPattern Qt.VerPattern Qt.CrossPattern Qt.BDiagPattern Qt.FDiagPattern Qt.DiagCrossPattern Qt.LinearGradientPattern Qt.ConicalGradientPattern Qt.RadialGradientPattern ''' if style not in list(range(18)): raise ValueError('Unknown style: %d') self.symbolStyle = int(style) # Modify Line def setLineColor(self, color): self.lineColor = qt.QColor(color) def setLineWidth(self, width): self.lineWidth = float(width) def setLineStyle(self, style): ''' :param style: Must be in Qt.PenStyle :type style: int Possible joices are: Qt.NoPen Qt.SolidLine Qt.DashLine Qt.DotLine Qt.DashDotLine Qt.DashDotDotLine Qt.CustomDashLine ''' if style not in list(range(7)): raise ValueError('Unknown style: %d') self.lineStyle = int(style) # Paint def paintEvent(self, event): ''' :param event: event :type event: QPaintEvent ''' painter = qt.QPainter(self) self.paint(painter, event.rect(), self.palette()) def paint(self, painter, rect, palette): painter.save() painter.setRenderHint(qt.QPainter.Antialiasing) # Scale painter to the icon height # current -> width = 2.5, height = 1.0 scale = float(self.height()) ratio = float(self.width()) / scale painter.scale(scale, scale) symbolOffset = qt.QPointF(.5*(ratio-1.), 0.) # Determine and scale offset offset = qt.QPointF( float(rect.left())/scale, float(rect.top())/scale) # Draw BG rectangle (for debugging) #bottomRight = qt.QPointF( # float(rect.right())/scale, # float(rect.bottom())/scale) #painter.fillRect(qt.QRectF(offset, bottomRight), # qt.QBrush(qt.Qt.green)) llist = [] if self.showLine: linePath = qt.QPainterPath() linePath.moveTo(0.,0.5) linePath.lineTo(ratio,0.5) #linePath.lineTo(2.5,0.5) linePen = qt.QPen( qt.QBrush(self.lineColor), (self.lineWidth / self.height()), self.lineStyle, qt.Qt.FlatCap ) llist.append((linePath, linePen, qt.QBrush(self.lineColor))) if self.showSymbol and len(self.symbol) and\ self.symbol not in ["None", " "]: # PITFALL ahead: Let this be a warning to others #symbolPath = Symbols[self.symbol] # Copy before translate! Dict is a mutable type symbolPath = qt.QPainterPath(Symbols[self.symbol]) symbolPath.translate(symbolOffset) symbolBrush = qt.QBrush( self.symbolColor, self.symbolStyle ) symbolPen = qt.QPen( self.symbolOutlineBrush, # Brush 1./self.height(), # Width qt.Qt.SolidLine # Style ) llist.append((symbolPath, symbolPen, symbolBrush)) # Draw for path, pen, brush in llist: path.translate(offset) painter.setPen(pen) painter.setBrush(brush) painter.drawPath(path) painter.restore() class LegendModel(qt.QAbstractListModel): iconColorRole = qt.Qt.UserRole + 0 iconLineWidthRole = qt.Qt.UserRole + 1 showLineRole = qt.Qt.UserRole + 2 iconSymbolRole = qt.Qt.UserRole + 3 showSymbolRole = qt.Qt.UserRole + 4 legendTypeRole = qt.Qt.UserRole + 5 selectedRole = qt.Qt.UserRole + 6 activeRole = qt.Qt.UserRole + 7 def __init__(self, legendList=None, parent=None): super(LegendModel, self).__init__(parent) if legendList is None: legendList = [] self.legendList = [] self.insertLegendList(0,legendList) def __getitem__(self, idx): if idx >= len(self.legendList): raise IndexError('list index out of range') return self.legendList[idx] def rowCount(self, modelIndex=None): return len(self.legendList) def flags(self, index): return qt.Qt.ItemIsEditable |\ qt.Qt.ItemIsEnabled |\ qt.Qt.ItemIsSelectable def data(self, modelIndex, role): if modelIndex.isValid: idx = modelIndex.row() else: return None if idx >= len(self.legendList): raise IndexError('list index out of range') item = self.legendList[idx] if role == qt.Qt.DisplayRole: # Data to be rendered in the form of text legend = QString(item[0]) #return QVariant(legend) return legend elif role == qt.Qt.SizeHintRole: #size = qt.QSize(200,50) print('LegendModel -- size hint role not implemented') return qt.QSize() elif role == qt.Qt.TextAlignmentRole: alignment = qt.Qt.AlignVCenter | qt.Qt.AlignLeft return alignment elif role == qt.Qt.BackgroundRole: # Background color, must be QBrush if idx%2: brush = qt.QBrush(qt.QColor(240,240,240)) else: brush = qt.QBrush(qt.Qt.white) return brush elif role == qt.Qt.ForegroundRole: # ForegroundRole color, must be QBrush brush = qt.QBrush(qt.Qt.blue) return brush elif role == qt.Qt.CheckStateRole: return item[2] == True elif role == qt.Qt.ToolTipRole or role == qt.Qt.StatusTipRole: return '' elif role == self.iconColorRole: return item[1]['color'] elif role == self.iconLineWidthRole: return item[1]['linewidth'] elif role == self.iconSymbolRole: return item[1]['symbol'] elif role == self.showLineRole: return item[3] elif role == self.showSymbolRole: return item[4] elif role == self.legendTypeRole: return 0 # item[4] ..curveType.. #elif role == qt.Qt.EditRole: # return qt.QString('What now?') else: print('Unkown role requested: %s',str(role)) return None def setData(self, modelIndex, value, role): if modelIndex.isValid: idx = modelIndex.row() else: return None if idx >= len(self.legendList): #raise IndexError('list index out of range') print('setData -- List index out of range, idx: %d'%idx) return None item = self.legendList[idx] try: if role == qt.Qt.DisplayRole: # Set legend item[0] = str(value) elif role == self.iconColorRole: item[1]['color'] = qt.QColor(value) elif role == self.iconLineWidthRole: item[1]['linewidth'] = int(value) elif role == self.iconSymbolRole: item[1]['symbol'] = str(value) elif role == qt.Qt.CheckStateRole: item[2] = value elif role == self.showLineRole: item[3] = value elif role == self.showSymbolRole: item[4] = value except ValueError: if DEBUG == 1: print('Conversion failed:' +'\n\tvalue:',value +'\n\trole:',role) # Can that be right? Read docs again.. self.dataChanged.emit(modelIndex, modelIndex) return True def insertLegendList(self, row, llist): ''' :param row: Determines after which row the items are inserted :type row: int :param llist: Carries the new legend information :type count: list ''' modelIndex = self.createIndex(row,0) count = len(llist) super(LegendModel, self).beginInsertRows(modelIndex, row, row+count) head = self.legendList[0:row] tail = self.legendList[row:] new = [] for (legend, icon) in llist: showLine = True showSymbol = True curveType = 0 active = icon.get('active', False) selected = icon.get('selected', True) item = [legend, icon, selected, showLine, showSymbol, curveType] new.append(item) self.legendList = head + new + tail super(LegendModel, self).endInsertRows() return True def insertRows(self, row, count, modelIndex = qt.QModelIndex()): raise NotImplementedError('Use LegendModel.insertLegendList instead') def removeRow(self, row): return self.removeRows(row, 1) def removeRows(self, row, count, modelIndex = qt.QModelIndex()): length = len(self.legendList) if length == 0: # Nothing to do.. return True if row < 0 or row >= length: raise IndexError('Index out of range -- ' +'idx: %d, len: %d'%(row, length)) if count == 0: return False super(LegendModel, self).beginRemoveRows(modelIndex, row, row+count) del(self.legendList[row:row+count]) super(LegendModel, self).endRemoveRows() return True def setEditor(self, event, editor): ''' :param event: String that identifies the editor :type event: str :param editor: Widget used to change data in the underlying model :type editor: QWidget ''' if event not in self.eventList: raise ValueError('setEditor -- Event must be in' +'%s'%(str(self.eventList))) self.editorDict[event] = editor class LegendListItemWidget(qt.QItemDelegate): # Notice: LegendListItem does NOT inherit # from QObject, it cannot emit signals! curveType = 0 imageType = 1 def __init__(self, parent=None, itemType=0): super(LegendListItemWidget, self).__init__(parent) # Dictionary to render checkboxes self.cbDict = {} self.labelDict = {} self.iconDict = {} # Keep checkbox and legend to get sizeHint self.checkbox = qt.QCheckBox() self.legend = qt.QLabel() self.icon = LegendIcon() # Context Menu and Editors self.contextMenu = None def paint(self, painter, option, modelIndex): ''' :param painter: :type painter: QPainter :param option: :type option: QStyleOptionViewItem :param modelIndex: :type modelIndex: QModelIndex Here be docs.. ''' # Rect geometry width = option.rect.width() height = option.rect.height() left = option.rect.left() top = option.rect.top() rect = qt.QRect(qt.QPoint(left, top), qt.QSize(width, height)) rect = option.rect # Calculate the icon rectangle iconSize = self.icon.sizeHint() # Calculate icon position x = rect.left() + 2 y = rect.top() + int(.5*(rect.height()-iconSize.height())) iconRect = qt.QRect(qt.QPoint(x,y), iconSize) # Calculate label rectangle legendSize = qt.QSize( rect.width() - iconSize.width() - 30, rect.height()) # Calculate label position x = rect.left() + iconRect.width() y = rect.top() labelRect = qt.QRect(qt.QPoint(x, y), legendSize) labelRect.translate(qt.QPoint(10, 0)) # Calculate the checkbox rectangle x = rect.right() - 30 y = rect.top() chBoxRect = qt.QRect(qt.QPoint(x, y), rect.bottomRight()) # Remember the rectangles idx = modelIndex.row() self.cbDict[idx] = chBoxRect self.iconDict[idx] = iconRect self.labelDict[idx] = labelRect # Draw background first! if option.state & qt.QStyle.State_MouseOver: backgroundBrush = option.palette.highlight() else: backgroundBrush = convertToPyObject(modelIndex.data(qt.Qt.BackgroundRole)) painter.fillRect(rect, backgroundBrush) # Draw label legendText = convertToPyObject(modelIndex.data(qt.Qt.DisplayRole)) textBrush = convertToPyObject(modelIndex.data(qt.Qt.ForegroundRole)) textAlign = convertToPyObject(modelIndex.data(qt.Qt.TextAlignmentRole)) painter.setBrush(textBrush) painter.setFont(self.legend.font()) painter.drawText(labelRect, textAlign, legendText) # Draw icon iconColor = convertToPyObject(modelIndex.data(LegendModel.iconColorRole)) iconLineWidth = convertToPyObject(modelIndex.data(LegendModel.iconLineWidthRole)) iconSymbol = convertToPyObject(modelIndex.data(LegendModel.iconSymbolRole)) icon = LegendIcon() icon.resize(iconRect.size()) icon.move(iconRect.topRight()) icon.showSymbol = convertToPyObject(modelIndex.data(LegendModel.showSymbolRole)) icon.showLine = convertToPyObject(modelIndex.data(LegendModel.showLineRole)) icon.setSymbolColor(iconColor) icon.setLineColor(iconColor) icon.setLineWidth(iconLineWidth) icon.setSymbol(iconSymbol) icon.symbolOutlineBrush = backgroundBrush icon.paint(painter, iconRect, option.palette) # Draw the checkbox if convertToPyObject(modelIndex.data(qt.Qt.CheckStateRole)): checkState = qt.Qt.Checked else: checkState = qt.Qt.Unchecked if sys.platform.upper().startswith("DARWIN"): MAC_QT_4_8_4_ISSUE = True else: MAC_QT_4_8_4_ISSUE = False if MAC_QT_4_8_4_ISSUE: painter.save() self.drawCheck(painter, qt.QStyleOptionViewItem(), chBoxRect, checkState) if MAC_QT_4_8_4_ISSUE: painter.restore() def editorEvent(self, event, model, option, modelIndex): # From the docs: # Mouse events are sent to editorEvent() # even if they don't start editing of the item. if event.button() == qt.Qt.RightButton and self.contextMenu: self.contextMenu.exec_(event.globalPos(), modelIndex) return True elif event.button() == qt.Qt.LeftButton: # Check if checkbox was clicked idx = modelIndex.row() cbRect = self.cbDict[idx] if cbRect.contains(event.pos()): # Toggle checkbox model.setData(modelIndex, not modelIndex.data(qt.Qt.CheckStateRole), qt.Qt.CheckStateRole) event.ignore() return True else: return qt.QAbstractItemDelegate.editorEvent(self, event, model, option, modelIndex) def createEditor(self, parent, option, idx): print('### Editor request ###') def sizeHint(self, option, idx): #return qt.QSize(68,24) iconSize = self.icon.sizeHint() legendSize = self.legend.sizeHint() checkboxSize = self.checkbox.sizeHint() height = max([iconSize.height(), legendSize.height(), checkboxSize.height()]) + 4 width = iconSize.width() + legendSize.width() + checkboxSize.width() return qt.QSize(width, height) class LegendListView(qt.QListView): sigLegendSignal = qt.pyqtSignal(object) __mouseClickedEvent = 'mouseClicked' __checkBoxClickedEvent = 'checkBoxClicked' __legendClickedEvent = 'legendClicked' def __init__(self, parent=None, model=None, contextMenu=None): super(LegendListView, self).__init__(parent) self.__lastButton = None self.__lastClickPos = None self.__lastModelIdx = None # Set default delegate self.setItemDelegate(LegendListItemWidget()) # Set default editors #self.setSizePolicy(qt.QSizePolicy.MinimumExpanding, # qt.QSizePolicy.MinimumExpanding) # Set edit triggers by hand using self.edit(QModelIndex) # in mousePressEvent (better to control than signals) self.setEditTriggers(qt.QAbstractItemView.NoEditTriggers) # Control layout #self.setBatchSize(2) #self.setLayoutMode(qt.QListView.Batched) #self.setFlow(qt.QListView.LeftToRight) # Control selection #self.setSelectionMode(qt.QAbstractItemView.ExtendedSelection) self.setSelectionMode(qt.QAbstractItemView.NoSelection) if model is None: model = LegendModel() self.setModel(model) #self.setSelectionModel(qt.QItemSelectionModel(model)) self.setContextMenu(contextMenu) def setLegendList(self, legendList, row=None): self.clear() if row is None: row = 0 model = self.model() model.insertLegendList(row, legendList) if DEBUG == 1: print('LegendListView.setLegendList(legendList) finished') def clear(self): model = self.model() model.removeRows(0,model.rowCount()) if DEBUG == 1: print('LegendListView.clear() finished') ''' def sizeHint(self): print('ListView.sizeHint called') return qt.QSize(300,500) def minimumWidth(self): print('ListView.minimumSize called') return 500 def minimumSize(self): print('ListView.minimumSize called') return qt.QSize(300,500) def minimumSizeHint(self): print('ListView.minimumSizeHint called') return qt.QSize(300,500) ''' def setContextMenu(self, contextMenu=None):#, actionList): delegate = self.itemDelegate() if isinstance(delegate, LegendListItemWidget) and self.model(): if contextMenu is None: delegate.contextMenu = LegendListContextMenu(self.model()) delegate.contextMenu.sigContextMenu.connect(\ self._contextMenuSlot) else: delegate.contextMenu = contextMenu def __getitem__(self, idx): model = self.model() try: item = model[idx] except ValueError: item = None return item def _contextMenuSlot(self, ddict): self.sigLegendSignal.emit(ddict) def mousePressEvent(self, event): self.__lastButton = event.button() self.__lastPosition = event.pos() super(LegendListView, self).mousePressEvent(event) # call _handleMouseClick after editing was handled # If right click (context menu) is aborted, no # signal is emitted.. self._handleMouseClick(self.indexAt(self.__lastPosition)) def mouseDoubleClickEvent(self, event): self.__lastButton = event.button() self.__lastPosition = event.pos() qt.QListView.mouseDoubleClickEvent(self, event) # call _handleMouseClick after editing was handled # If right click (context menu) is aborted, no # signal is emitted.. self._handleMouseClick(self.indexAt(self.__lastPosition)) def mouseMoveEvent(self, event): # LegendListView.mouseMoveEvent is overwritten # to suppress unwanted behavior in the delegate. pass def mouseReleaseEvent(self, event): if DEBUG == 1: print('LegendListView.mouseReleaseEvent -- ' +'is overwritten to subpress unwanted ' +'behavior in the delegate.') def _handleMouseClick(self, modelIndex): ''' :param modelIndex: index of the clicked item :type modelIndex: QModelIndex Distinguish between mouse click on Legend and mouse click on CheckBox by setting the currentCheckState attribute in LegendListItem. Emits signal sigLegendSignal(ddict) ''' if DEBUG == 1: print('self._handleMouseClick called') if self.__lastButton not in [qt.Qt.LeftButton, qt.Qt.RightButton]: return if not modelIndex.isValid(): if DEBUG: print('_handleMouseClick -- Invalid QModelIndex') return model = self.model() idx = modelIndex.row() delegate = self.itemDelegate() cbClicked = False if isinstance(delegate, LegendListItemWidget): for cbRect in delegate.cbDict.values(): if cbRect.contains(self.__lastPosition): cbClicked = True break # TODO: Check for doubleclicks on legend/icon and spawn editors # item is tupel: (legend, icon, checkState, curveType) item = model[idx] ddict = { 'legend' : qt.safe_str(convertToPyObject(modelIndex.data(qt.Qt.DisplayRole))), 'icon' : { 'linewidth' : qt.safe_str(convertToPyObject(modelIndex.data(LegendModel.iconLineWidthRole))), 'symbol' : qt.safe_str(convertToPyObject(modelIndex.data(LegendModel.iconSymbolRole))), 'color' : convertToPyObject(modelIndex.data(LegendModel.legendTypeRole)) }, 'selected' : convertToPyObject(modelIndex.data(qt.Qt.CheckStateRole)), 'type' : qt.safe_str(convertToPyObject(modelIndex.data())) } if self.__lastButton == qt.Qt.RightButton: if DEBUG == 1: print('Right clicked') ddict['button'] = "right" ddict['event'] = self.__mouseClickedEvent elif cbClicked: if DEBUG == 1: print('CheckBox clicked') ddict['button'] = "left" ddict['event'] = self.__checkBoxClickedEvent else: if DEBUG == 1: print('Legend clicked') ddict['button'] = "left" ddict['event'] = self.__legendClickedEvent if DEBUG == 1: print(' idx: %d\n ddict: %s'%(idx, str(ddict))) self.sigLegendSignal.emit(ddict) class LegendListContextMenu(qt.QMenu): sigContextMenu = qt.pyqtSignal(object) def __init__(self, model): super(LegendListContextMenu, self).__init__(parent=None) self.model = model actionList = [('Set Active', self.setActiveAction), ('Map to left', self.mapToLeftAction), ('Map to right', self.mapToRightAction), ('Toggle points', self.togglePointsAction), ('Toggle lines', self.toggleLinesAction), ('Remove curve', self.removeItemAction), ('Rename curve', self.renameItemAction)] for name, action in actionList: self.addAction(name, action) def exec_(self, pos, idx): self.__currentIdx = idx super(LegendListContextMenu, self).popup(pos) def currentIdx(self): return self.__currentIdx def mapToLeftAction(self): if DEBUG: print('LegendListContextMenu.mapToLeftAction called') modelIndex = self.currentIdx() legend = qt.safe_str(convertToPyObject(modelIndex.data(qt.Qt.DisplayRole))) ddict = { 'legend' : legend, 'label' : legend, 'selected' : convertToPyObject(modelIndex.data(qt.Qt.CheckStateRole)), 'type' : qt.safe_str(convertToPyObject(modelIndex.data())), 'event': "mapToLeft" } self.sigContextMenu.emit(ddict) def mapToRightAction(self): if DEBUG: print('LegendListContextMenu.mapToRightAction called') modelIndex = self.currentIdx() legend = qt.safe_str(convertToPyObject(modelIndex.data(qt.Qt.DisplayRole))) ddict = { 'legend' : legend, 'label' : legend, 'selected' : convertToPyObject(modelIndex.data(qt.Qt.CheckStateRole)), 'type' : qt.safe_str(convertToPyObject(modelIndex.data())), 'event': "mapToRight" } self.sigContextMenu.emit(ddict) def removeItemAction(self): if DEBUG == 1: print('LegendListContextMenu.removeCurveAction called') modelIndex = self.currentIdx() legend = qt.safe_str(convertToPyObject(modelIndex.data(qt.Qt.DisplayRole))) ddict = { 'legend' : legend, 'label' : legend, 'selected' : convertToPyObject(modelIndex.data(qt.Qt.CheckStateRole)), 'type' : qt.safe_str(convertToPyObject(modelIndex.data())), 'event': "removeCurve" } self.sigContextMenu.emit(ddict) self.model.removeRow(modelIndex.row()) def renameItemAction(self): if DEBUG == 1: print('LegendListContextMenu.renameCurveAction called') modelIndex = self.currentIdx() legend = qt.safe_str(convertToPyObject(modelIndex.data(qt.Qt.DisplayRole))) ddict = { 'legend' : legend, 'label' : legend, 'selected' : convertToPyObject(modelIndex.data(qt.Qt.CheckStateRole)), 'type' : qt.safe_str(convertToPyObject(modelIndex.data())), 'event': "renameCurve" } self.sigContextMenu.emit(ddict) def toggleLinesAction(self): modelIndex = self.currentIdx() legend = qt.safe_str(convertToPyObject(modelIndex.data(qt.Qt.DisplayRole))) ddict = { 'legend' : legend, 'label' : legend, 'selected' : convertToPyObject(modelIndex.data(qt.Qt.CheckStateRole)), 'type' : qt.safe_str(convertToPyObject(modelIndex.data())), } flag = convertToPyObject(modelIndex.data(LegendModel.showLineRole)) if flag: if DEBUG == 1: print('toggleLinesAction -- lines turned off') ddict['event'] = "toggleLine" ddict['line'] = False self.sigContextMenu.emit(ddict) self.model.setData(modelIndex, False, LegendModel.showLineRole) else: if DEBUG == 1: print('toggleLinesAction -- lines turned on') ddict['event'] = "toggleLine" ddict['line'] = True self.sigContextMenu.emit(ddict) self.model.setData(modelIndex, True, LegendModel.showLineRole) def togglePointsAction(self): modelIndex = self.currentIdx() legend = qt.safe_str(convertToPyObject(modelIndex.data(qt.Qt.DisplayRole))) ddict = { 'legend' : legend, 'label' : legend, 'selected' : convertToPyObject(modelIndex.data(qt.Qt.CheckStateRole)), 'type' : qt.safe_str(convertToPyObject(modelIndex.data())), } flag = convertToPyObject(modelIndex.data(LegendModel.showSymbolRole)) symbol = convertToPyObject(modelIndex.data(LegendModel.iconSymbolRole)) if flag and (symbol is not None): if DEBUG == 1: print('togglePointsAction -- Symbols turned off') ddict['event'] = "togglePoints" ddict['points'] = False self.sigContextMenu.emit(ddict) self.model.setData(modelIndex, False, LegendModel.showSymbolRole) else: if DEBUG == 1: print('togglePointsAction -- Symbols turned on') ddict['event'] = "togglePoints" ddict['points'] = True self.sigContextMenu.emit(ddict) self.model.setData(modelIndex, True, LegendModel.showSymbolRole) def setActiveAction(self): modelIndex = self.currentIdx() legend = qt.safe_str(convertToPyObject(modelIndex.data(qt.Qt.DisplayRole))) if DEBUG: print('setActiveAction -- active curve:',legend) ddict = { 'legend' : legend, 'label' : legend, 'selected' : convertToPyObject(modelIndex.data(qt.Qt.CheckStateRole)), 'type' : qt.safe_str(convertToPyObject(modelIndex.data())), 'event': "setActiveCurve", } self.sigContextMenu.emit(ddict) class Notifier(qt.QObject): def __init__(self): qt.QObject.__init__(self) self.chk = True def signalReceived(self, **kw): obj = self.sender() print('NOTIFIER -- signal received\n\tsender:', str(obj)) if __name__ == '__main__': notifier = Notifier() legends = ['Legend0', 'Legend1', 'Long Legend 2', 'Foo Legend 3', 'Even Longer Legend 4', 'Short Leg 5', 'Dot symbol 6', 'Comma symbol 7'] colors = [qt.Qt.darkRed, qt.Qt.green, qt.Qt.yellow, qt.Qt.darkCyan, qt.Qt.blue, qt.Qt.darkBlue, qt.Qt.red, qt.Qt.darkYellow] #symbols = ['circle', 'triangle', 'utriangle', 'diamond', 'square', 'cross'] symbols = ['o', 't', '+', 'x', 's', 'd', '.', ','] app = qt.QApplication([]) win = LegendListView() #win = LegendListContextMenu() #win = qt.QWidget() #layout = qt.QVBoxLayout() #layout.setContentsMargins(0,0,0,0) llist = [] for idx, (l, c, s) in enumerate(zip(legends, colors, symbols)): ddict = { 'color': qt.QColor(c), 'linewidth': 4, 'symbol': s, } legend = l llist.append((legend, ddict)) #item = qt.QListWidgetItem(win) #legendWidget = LegendListItemWidget(l) #legendWidget.icon.setSymbol(s) #legendWidget.icon.setColor(qt.QColor(c)) #layout.addWidget(legendWidget) #win.setItemWidget(item, legendWidget) #win = LegendListItemWidget('Some Legend 1') #print(llist) model = LegendModel(legendList=llist) win.setModel(model) win.setSelectionModel(qt.QItemSelectionModel(model)) win.setContextMenu() #print('Edit triggers: %d'%win.editTriggers()) #win = LegendListWidget(None, legends) #win[0].updateItem(ddict) #win.setLayout(layout) win.sigLegendSignal.connect(notifier.signalReceived) win.show() win.clear() win.setLegendList(llist) app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/ObjectPrintConfigurationDialog.py0000644000276300001750000002047113136054446026016 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt class ObjectPrintConfigurationWidget(qt.QWidget): def __init__(self, parent=None): super(ObjectPrintConfigurationWidget, self).__init__(parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) hbox = qt.QWidget() hboxLayout = qt.QHBoxLayout(hbox) hboxLayout.setContentsMargins(0, 0, 0, 0) hboxLayout.setSpacing(2) label = qt.QLabel(self) label.setText("Units") label.setAlignment(qt.Qt.AlignCenter) self._pageButton = qt.QRadioButton() self._pageButton.setText("Page") self._inchButton = qt.QRadioButton() self._inchButton.setText("Inches") self._cmButton = qt.QRadioButton() self._cmButton.setText("Centimeters") self._buttonGroup = qt.QButtonGroup(self) self._buttonGroup.addButton(self._pageButton) self._buttonGroup.addButton(self._inchButton) self._buttonGroup.addButton(self._cmButton) self._buttonGroup.setExclusive(True) # units self.mainLayout.addWidget(label, 0, 0, 1, 4) #self.mainLayout.addWidget(self._pageButton, 0, 1) #self.mainLayout.addWidget(self._inchButton, 0, 2) #self.mainLayout.addWidget(self._cmButton, 0, 3) hboxLayout.addWidget(self._pageButton) hboxLayout.addWidget(self._inchButton) hboxLayout.addWidget(self._cmButton) self.mainLayout.addWidget(hbox, 1, 0, 1, 4) self._pageButton.setChecked(True) # xOffset label = qt.QLabel(self) label.setText("X Offset:") self.mainLayout.addWidget(label, 2, 0) self._xOffset = qt.QLineEdit(self) validator = qt.QDoubleValidator(None) self._xOffset.setValidator(validator) self._xOffset.setText("0.0") self.mainLayout.addWidget(self._xOffset, 2, 1) # yOffset label = qt.QLabel(self) label.setText("Y Offset:") self.mainLayout.addWidget(label, 2, 2) self._yOffset = qt.QLineEdit(self) validator = qt.QDoubleValidator(None) self._yOffset.setValidator(validator) self._yOffset.setText("0.0") self.mainLayout.addWidget(self._yOffset, 2, 3) # width label = qt.QLabel(self) label.setText("Width:") self.mainLayout.addWidget(label, 3, 0) self._width = qt.QLineEdit(self) validator = qt.QDoubleValidator(None) self._width.setValidator(validator) self._width.setText("0.5") self.mainLayout.addWidget(self._width, 3, 1) # height label = qt.QLabel(self) label.setText("Height:") self.mainLayout.addWidget(label, 3, 2) self._height = qt.QLineEdit(self) validator = qt.QDoubleValidator(None) self._height.setValidator(validator) self._height.setText("0.5") self.mainLayout.addWidget(self._height, 3, 3) # aspect ratio self._aspect = qt.QCheckBox(self) self._aspect.setText("Keep screen aspect ratio") self._aspect.setChecked(True) self.mainLayout.addWidget(self._aspect, 4, 1, 1, 2) def getParameters(self): ddict = {} if self._inchButton.isChecked(): ddict['units'] = "inches" elif self._cmButton.isChecked(): ddict['units'] = "centimeters" else: ddict['units'] = "page" ddict['xOffset'] = float(qt.safe_str(self._xOffset.text())) ddict['yOffset'] = float(qt.safe_str(self._yOffset.text())) ddict['width'] = float(qt.safe_str(self._width.text())) ddict['height'] = float(qt.safe_str(self._height.text())) if self._aspect.isChecked(): ddict['keepAspectRatio'] = True else: ddict['keepAspectRatio'] = False return ddict def setParameters(self, ddict=None): if ddict is None: ddict = {} oldDict = self.getParameters() for key in ["units", "xOffset", "yOffset", "width", "height", "keepAspectRatio"]: ddict[key] = ddict.get(key, oldDict[key]) if ddict['units'].lower().startswith("inc"): self._inchButton.setChecked(True) elif ddict['units'].lower().startswith("c"): self._cmButton.setChecked(True) else: self._pageButton.setChecked(True) self._xOffset.setText("%s" % float(ddict['xOffset'])) self._yOffset.setText("%s" % float(ddict['yOffset'])) self._width.setText("%s" % float(ddict['width'])) self._height.setText("%s" % float(ddict['height'])) if ddict['keepAspectRatio']: self._aspect.setChecked(True) else: self._aspect.setChecked(False) class ObjectPrintConfigurationDialog(qt.QDialog): def __init__(self, parent=None, configuration=None): qt.QDialog.__init__(self, parent) self.setWindowTitle("Set print size preferences") if configuration is None: configuration = {"xOffset": 0.0, "yOffset": 0.0, "width": 0.5, "height": 0.5, "units": "page", "keepAspectRatio": True} layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) self.configurationWidget = ObjectPrintConfigurationWidget(self) hbox = qt.QWidget(self) hboxLayout = qt.QHBoxLayout(hbox) self.okButton = qt.QPushButton(hbox) self.okButton.setText("Accept") self.okButton.setAutoDefault(False) self.rejectButton = qt.QPushButton(hbox) self.rejectButton.setText("Dismiss") self.rejectButton.setAutoDefault(False) self.okButton.clicked.connect(self.accept) self.rejectButton.clicked.connect(self.reject) hboxLayout.setContentsMargins(0, 0, 0, 0) hboxLayout.setSpacing(2) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) hboxLayout.addWidget(self.okButton) hboxLayout.addWidget(self.rejectButton) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) layout.addWidget(self.configurationWidget) layout.addWidget(hbox) self.setPrintConfiguration(configuration) def setPrintConfiguration(self, configuration, printer=None): # TODO: Receive printer in order to be able to convert units # from page to inch and/or centimeters self.configurationWidget.setParameters(configuration) def getPrintConfiguration(self): return self.configurationWidget.getParameters() if __name__ == "__main__": app = qt.QApplication([]) w = ObjectPrintConfigurationDialog() if w.exec_(): print(w.getPrintConfiguration()) PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/PlotWidget.py0000644000276300001750000003312413136054446022004 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os from PyMca5.PyMcaGraph import Plot SVG = True if "PySide" in sys.modules: from PySide import QtCore, QtGui try: from PySide import QtSvg except ImportError: SVG = False elif ("PyQt5" in sys.modules) or ("PyQt5" in sys.argv): from PyQt5 import QtCore, QtGui, QtWidgets QtGui.QApplication = QtWidgets.QApplication QtGui.QMainWindow = QtWidgets.QMainWindow QtGui.QWidget = QtWidgets.QWidget QtGui.QVBoxLayout = QtWidgets.QVBoxLayout QtGui.qApp = QtWidgets.qApp try: from PyQt5.QtPrintSupport import QPrinter, QPrintDialog QtGui.QPrinter = QPrinter QtGui.QPrintDialog = QPrintDialog except ImportError: print("PyQt5 No print support available") try: from PyQt5 import QtSvg except ImportError: SVG = False else: from PyQt4 import QtCore, QtGui try: from PyQt4 import QtSvg except ImportError: SVG = False if not hasattr(QtCore, "Signal"): QtCore.Signal = QtCore.pyqtSignal DEBUG = 0 if DEBUG: Plot.DEBUG = DEBUG class PlotWidget(QtGui.QMainWindow, Plot.Plot): sigPlotSignal = QtCore.Signal(object) def __init__(self, parent=None, backend=None, legends=False, callback=None, **kw): self._panWithArrowKeys = False QtGui.QMainWindow.__init__(self, parent) Plot.Plot.__init__(self, parent, backend=backend) if parent is not None: # behave as a widget self.setWindowFlags(QtCore.Qt.Widget) self.containerWidget = QtGui.QWidget() self.containerWidget.mainLayout = QtGui.QVBoxLayout(self.containerWidget) self.containerWidget.mainLayout.setContentsMargins(0, 0, 0, 0) self.containerWidget.mainLayout.setSpacing(0) widget = self.getWidgetHandle() if widget is not None: self.containerWidget.mainLayout.addWidget(widget) self.setCentralWidget(self.containerWidget) else: print("WARNING: No backend. Using default.") # defaultPrinter self._printer = None if legends: print("Legends widget to be implemented") self.setGraphTitle(" ") self.setGraphXLabel("X") self.setGraphYLabel("Y") self.setCallback(callback) def showLegends(self, flag=True): print("Legends widget to be implemented") def graphCallback(self, ddict=None): if ddict is not None: Plot.Plot.graphCallback(self, ddict) self.sigPlotSignal.emit(ddict) def resizeEvent(self, event): super(PlotWidget, self).resizeEvent(event) #Should I reset the zoom or replot? #self.resetZoom() def replot(self): Plot.Plot.replot(self) # force update of the widget!!! # should this be made at the backend level? w = self.centralWidget() QtGui.qApp.postEvent(w, QtGui.QResizeEvent(w.size(), w.size())) def saveGraph(self, fileName, fileFormat=None, dpi=None, **kw): supportedFormats = ["png", "svg", "pdf", "ps", "eps", "tif", "tiff","jpeg", "jpg"] if fileFormat is None: fileFormat = (fileName.split(".")[-1]).lower() if fileFormat not in supportedFormats: print("Probably unsupported format %s" % fileFormat) fileFormat = "svg" return super(PlotWidget, self).saveGraph(fileName, fileFormat, dpi=dpi, **kw) def getSvgRenderer(self, printer=None): if not SVG: raise RuntimeError("QtSvg module missing. Please compile Qt with SVG support") return if sys.version < '3.0': import cStringIO as StringIO imgData = StringIO.StringIO() else: from io import BytesIO imgData = BytesIO() self.saveGraph(imgData, fileFormat='svg') imgData.flush() imgData.seek(0) svgRawData = imgData.read() svgRendererData = QtCore.QXmlStreamReader(svgRawData) svgRenderer = QtSvg.QSvgRenderer(svgRendererData) svgRenderer._svgRawData = svgRawData svgRenderer._svgRendererData = svgRendererData return svgRenderer def printGraph(self, width=None, height=None, xOffset=0.0, yOffset=0.0, units="inches", dpi=None, printer=None, dialog=True, keepAspectRatio=True, **kw): if printer is None: if self._printer is None: printer = QtGui.QPrinter() else: printer = self._printer if (printer is None) or dialog: # allow printer selection/configuration printDialog = QtGui.QPrintDialog(printer, self) actualPrint = printDialog.exec_() else: actualPrint = True if actualPrint: self._printer = printer try: painter = QtGui.QPainter() if not(painter.begin(printer)): return 0 dpix = printer.logicalDpiX() dpiy = printer.logicalDpiY() #margin = int((2/2.54) * dpiy) #2cm margin availableWidth = printer.width() #- 1 * margin availableHeight = printer.height() #- 2 * margin # get the available space # convert the offsets to dpi if units.lower() in ['inch', 'inches']: xOffset = xOffset * dpix yOffset = yOffset * dpiy if width is not None: width = width * dpix if height is not None: height = height * dpiy elif units.lower() in ['cm', 'centimeters']: xOffset = (xOffset/2.54) * dpix yOffset = (yOffset/2.54) * dpiy if width is not None: width = (width/2.54) * dpix if height is not None: height = (height/2.54) * dpiy else: # page units xOffset = availableWidth * xOffset yOffset = availableHeight * yOffset if width is not None: width = availableWidth * width if height is not None: height = availableHeight * height availableWidth -= xOffset availableHeight -= yOffset if width is not None: if (availableWidth + 0.1) < width: txt = "Available width %f is less than requested width %f" % \ (availableWidth, width) raise ValueError(txt) availableWidth = width if height is not None: if (availableHeight + 0.1) < height: txt = "Available height %f is less than requested height %f" % \ (availableHeight, height) raise ValueError(txt) availableHeight = height if keepAspectRatio: #get the aspect ratio widget = self.getWidgetHandle() if widget is None: # does this make sense? graphWidth = availableWidth graphHeight = availableHeight else: graphWidth = float(widget.width()) graphHeight = float(widget.height()) graphRatio = graphHeight / graphWidth # that ratio has to be respected bodyWidth = availableWidth bodyHeight = availableWidth * graphRatio if bodyHeight > availableHeight: bodyHeight = availableHeight bodyWidth = bodyHeight / graphRatio else: bodyWidth = availableWidth bodyHeight = availableHeight body = QtCore.QRectF(xOffset, yOffset, bodyWidth, bodyHeight) svgRenderer = self.getSvgRenderer() svgRenderer.render(painter, body) finally: painter.end() # Panning with arrow keys def isPanWithArrowKeys(self): """Returns whether or not panning the graph with arrow keys is enable. See :meth:`setPanWithArrowKeys`. """ return self._panWithArrowKeys def setPanWithArrowKeys(self, pan=False): """Enable/Disable panning the graph with arrow keys. This grabs the keyboard. :param bool pan: True to enable panning, False to disable. """ self._panWithArrowKeys = bool(pan) if not self._panWithArrowKeys: self.setFocusPolicy(QtCore.Qt.NoFocus) else: self.setFocusPolicy(QtCore.Qt.StrongFocus) self.setFocus(QtCore.Qt.OtherFocusReason) # Dict to convert Qt arrow key code to direction str. _ARROWS_TO_PAN_DIRECTION = { QtCore.Qt.Key_Left: 'left', QtCore.Qt.Key_Right: 'right', QtCore.Qt.Key_Up: 'up', QtCore.Qt.Key_Down: 'down' } def keyPressEvent(self, event): """Key event handler handling panning on arrow keys. Overrides base class implementation. """ key = event.key() if self._panWithArrowKeys and key in self._ARROWS_TO_PAN_DIRECTION: self.pan(self._ARROWS_TO_PAN_DIRECTION[key], factor=0.1) else: # Only call base class implementation when key is not handled. # See QWidget.keyPressEvent for details. super(PlotWidget, self).keyPressEvent(event) if __name__ == "__main__": import time backend = None if ("matplotlib" in sys.argv) or ("mpl" in sys.argv): backend = "matplotlib" print("USING matplotlib") time.sleep(1) elif ("pyqtgraph" in sys.argv): backend = "pyqtgraph" print("USING PyQtGraph") time.sleep(1) elif ("OpenGL" in sys.argv) or ("opengl" in sys.argv) or ("gl" in sys.argv): backend = "opengl" print("USING OpenGL") time.sleep(1) elif ("GLUT" in sys.argv) or ("glut" in sys.argv): backend = "glut" print("USING GLUT") time.sleep(1) else: print ("USING default backend") time.sleep(1) import numpy x = numpy.arange(100.) y = x * x app = QtGui.QApplication([]) plot = PlotWidget(None, backend=backend, legends=True) plot.setPanWithArrowKeys(True) plot.show() if 1: plot.addCurve(x, y, "dummy") plot.addCurve(x+100, x*x) plot.addCurve(x, -y, "dummy 2") print("Active curve = ", plot.getActiveCurve()) print("X Limits = ", plot.getGraphXLimits()) print("Y Limits = ", plot.getGraphYLimits()) print("All curves = ", plot.getAllCurves()) #print("REMOVING dummy") #plot.removeCurve("dummy") plot.insertXMarker(50., legend="X", text="X", draggable=True) #plot.insertYMarker(50., draggable=True) plot.setYAxisLogarithmic(True) else: # insert a few curves cSin={} cCos={} nplots=50 for i in range(nplots): # calculate 3 NumPy arrays x = numpy.arange(0.0, 10.0, 0.1) y = 10*numpy.sin(x+(i/10.0) * 3.14) z = numpy.cos(x+(i/10.0) * 3.14) #build a key a="%d" % i #plot the data cSin[a] = plot.addCurve(x, y, 'y = sin(x)' + a, replot=False) cCos[a] = plot.addCurve(x, z, 'y = cos(x)' + a, replot=False) cCos[a] = plot.addCurve(x, z, 'y = cos(x)' + a, replot=True) plot.insertXMarker(5., legend="X", text="X", draggable=True) plot.insertYMarker(5., legend="Y", text="Y", draggable=True) print("All curves = ", plot.getAllCurves(just_legend=True)) app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/PyMcaPrintPreview.py0000644000276300001750000000635113136054446023314 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt DEBUG = 0 from .Q4PyMcaPrintPreview import PyMcaPrintPreview as PrintPreview #SINGLETON if 0: #It seems sip gets confused by this singleton implementation class PyMcaPrintPreview(PrintPreview): _instance = None def __new__(self, *var, **kw): if self._instance is None: self._instance = PrintPreview.__new__(self,*var, **kw) return self._instance else: #but sip is happy about this one class PyMcaPrintPreview(PrintPreview): _instance = None def __new__(self, *var, **kw): if self._instance is None: self._instance = PrintPreview(*var, **kw) return self._instance def testPreview(): """ """ import sys import os.path if len(sys.argv) < 2: print("give an image file as parameter please.") sys.exit(1) if len(sys.argv) > 2: print("only one parameter please.") sys.exit(1) filename = sys.argv[1] a = qt.QApplication(sys.argv) p = qt.QPrinter() p.setOutputFileName(os.path.splitext(filename)[0]+".ps") p.setColorMode(qt.QPrinter.Color) w = PyMcaPrintPreview( parent = None, printer = p, name = 'Print Prev', modal = 0, fl = 0) w.resize(400,500) w.addPixmap(qt.QPixmap.fromImage(qt.QImage(filename))) w.addImage(qt.QImage(filename)) if 0: w2 = PyMcaPrintPreview( parent = None, printer = p, name = '2Print Prev', modal = 0, fl = 0) w.exec_() w2.resize(100,100) w2.show() sys.exit(w2.exec_()) sys.exit(w.exec_()) if __name__ == '__main__': testPreview() PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/McaROIWidget.py0000644000276300001750000005535713136054446022154 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, "QString"): QString = qt.QString else: QString = qt.safe_str QTVERSION = qt.qVersion() from PyMca5.PyMcaCore import PyMcaDirs from PyMca5.PyMcaIO import ConfigDict DEBUG = 0 class McaROIWidget(qt.QWidget): sigMcaROIWidgetSignal = qt.pyqtSignal(object) def __init__(self, parent=None, name=None): super(McaROIWidget, self).__init__(parent) if name is not None: self.setWindowTitle(name) layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) ############## self.headerLabel = qt.QLabel(self) self.headerLabel.setAlignment(qt.Qt.AlignHCenter) self.setHeader('Channel ROIs of XXXXXXXXXX<\b>') layout.addWidget(self.headerLabel) ############## self.mcaROITable = McaROITable(self) rheight = self.mcaROITable.horizontalHeader().sizeHint().height() self.mcaROITable.setMinimumHeight(4*rheight) #self.mcaROITable.setMaximumHeight(4*rheight) self.fillFromROIDict = self.mcaROITable.fillFromROIDict self.addROI = self.mcaROITable.addROI self.getROIListAndDict=self.mcaROITable.getROIListAndDict layout.addWidget(self.mcaROITable) self.roiDir = None ################# hbox = qt.QWidget(self) hboxlayout = qt.QHBoxLayout(hbox) hboxlayout.setContentsMargins(0, 0, 0, 0) hboxlayout.setSpacing(0) hboxlayout.addWidget(qt.HorizontalSpacer(hbox)) self.addButton = qt.QPushButton(hbox) self.addButton.setText("Add ROI") self.delButton = qt.QPushButton(hbox) self.delButton.setText("Delete ROI") self.resetButton = qt.QPushButton(hbox) self.resetButton.setText("Reset") hboxlayout.addWidget(self.addButton) hboxlayout.addWidget(self.delButton) hboxlayout.addWidget(self.resetButton) hboxlayout.addWidget(qt.HorizontalSpacer(hbox)) self.loadButton = qt.QPushButton(hbox) self.loadButton.setText("Load") self.saveButton = qt.QPushButton(hbox) self.saveButton.setText("Save") hboxlayout.addWidget(self.loadButton) hboxlayout.addWidget(self.saveButton) layout.setStretchFactor(self.headerLabel, 0) layout.setStretchFactor(self.mcaROITable, 1) layout.setStretchFactor(hbox, 0) layout.addWidget(hbox) self.addButton.clicked.connect(self._add) self.delButton.clicked.connect(self._del) self.resetButton.clicked.connect(self._reset) self.loadButton.clicked.connect(self._load) self.saveButton.clicked.connect(self._save) self.mcaROITable.sigMcaROITableSignal.connect(self._forward) def _add(self): if DEBUG: print("McaROIWidget._add") ddict={} ddict['event'] = "AddROI" roilist, roidict = self.mcaROITable.getROIListAndDict() ddict['roilist'] = roilist ddict['roidict'] = roidict self.emitSignal(ddict) def _del(self): row = self.mcaROITable.currentRow() if row >= 0: index = self.mcaROITable.labels.index('Type') text = str(self.mcaROITable.item(row, index).text()) if text.upper() != 'DEFAULT': index = self.mcaROITable.labels.index('ROI') key = str(self.mcaROITable.item(row, index).text()) else: # This is to prevent deleting ICR ROI, that is # usually initialized as "Default" type. return roilist,roidict = self.mcaROITable.getROIListAndDict() row = roilist.index(key) del roilist[row] del roidict[key] if len(roilist) > 0: currentroi = roilist[0] else: currentroi = None self.mcaROITable.fillFromROIDict(roilist=roilist, roidict=roidict, currentroi=currentroi) ddict={} ddict['event'] = "DelROI" ddict['roilist'] = roilist ddict['roidict'] = roidict self.emitSignal(ddict) def _forward(self,ddict): self.emitSignal(ddict) def _reset(self): ddict={} ddict['event'] = "ResetROI" roilist0, roidict0 = self.mcaROITable.getROIListAndDict() index = 0 for key in roilist0: if roidict0[key]['type'].upper() == 'DEFAULT': index = roilist0.index(key) break roilist=[] roidict = {} if len(roilist0): roilist.append(roilist0[index]) roidict[roilist[0]] = {} roidict[roilist[0]].update(roidict0[roilist[0]]) self.mcaROITable.fillFromROIDict(roilist=roilist, roidict=roidict) ddict['roilist'] = roilist ddict['roidict'] = roidict self.emitSignal(ddict) def _load(self): if self.roiDir is None: self.roiDir = PyMcaDirs.inputDir elif not os.path.isdir(self.roiDir): self.roiDir = PyMcaDirs.inputDir outfile = qt.QFileDialog(self) if hasattr(outfile, "setFilters"): outfile.setFilter('PyMca *.ini') else: outfile.setNameFilters(['PyMca *.ini', 'All *']) outfile.setFileMode(outfile.ExistingFile) outfile.setDirectory(self.roiDir) ret = outfile.exec_() if not ret: outfile.close() del outfile return # pyflakes bug http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=666494 outputFile = qt.safe_str(outfile.selectedFiles()[0]) outfile.close() del outfile self.roiDir = os.path.dirname(outputFile) self.load(outputFile) def load(self, filename): d = ConfigDict.ConfigDict() d.read(filename) current = "" if self.mcaROITable.rowCount(): row = self.mcaROITable.currentRow() item = self.mcaROITable.item(row, 0) if item is not None: current = str(item.text()) self.fillFromROIDict(roilist=d['ROI']['roilist'], roidict=d['ROI']['roidict']) if current in d['ROI']['roidict'].keys(): if current in d['ROI']['roilist']: row = d['ROI']['roilist'].index(current, 0) self.mcaROITable.setCurrentCell(row, 0) self.mcaROITable._cellChangedSlot(row, 2) return self.mcaROITable.setCurrentCell(0, 0) self.mcaROITable._cellChangedSlot(0, 2) def _save(self): if self.roiDir is None: self.roiDir = PyMcaDirs.outputDir elif not os.path.isdir(self.roiDir): self.roiDir = PyMcaDirs.outputDir outfile = qt.QFileDialog(self) if hasattr(outfile, "setFilters"): outfile.setFilter('PyMca *.ini') else: outfile.setNameFilters(['PyMca *.ini', 'All *']) outfile.setFileMode(outfile.AnyFile) outfile.setAcceptMode(qt.QFileDialog.AcceptSave) outfile.setDirectory(self.roiDir) ret = outfile.exec_() if not ret: outfile.close() del outfile return # pyflakes bug http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=666494 outputFile = qt.safe_str(outfile.selectedFiles()[0]) extension = ".ini" outfile.close() del outfile if len(outputFile) < len(extension[:]): outputFile += extension[:] elif outputFile[-4:] != extension[:]: outputFile += extension[:] if os.path.exists(outputFile): try: os.remove(outputFile) except IOError: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Input Output Error: %s" % (sys.exc_info()[1])) msg.exec_() return self.roiDir = os.path.dirname(outputFile) self.save(outputFile) def save(self, filename): d= ConfigDict.ConfigDict() d['ROI'] = {} d['ROI'] = {'roilist': self.mcaROITable.roilist * 1, 'roidict':{}} d['ROI']['roidict'].update(self.mcaROITable.roidict) d.write(filename) def setData(self,*var,**kw): self.info ={} if 'legend' in kw: self.info['legend'] = kw['legend'] del kw['legend'] else: self.info['legend'] = 'Unknown Type' if 'xlabel' in kw: self.info['xlabel'] = kw['xlabel'] del kw['xlabel'] else: self.info['xlabel'] = 'X' if 'rois' in kw: rois = kw['rois'] self.mcaROITable.fillfromrois(rois) self.setHeader(text="%s ROIs of %s" % (self.info['xlabel'], self.info['legend'])) def setHeader(self,*var,**kw): if len(var): text = var[0] elif 'text' in kw: text = kw['text'] elif 'header' in kw: text = kw['header'] else: text = "" self.headerLabel.setText("%s<\b>" % text) def emitSignal(self, ddict): self.sigMcaROIWidgetSignal.emit(ddict) class McaROITable(qt.QTableWidget): sigMcaROITableSignal = qt.pyqtSignal(object) def __init__(self, *args,**kw): super(McaROITable, self).__init__(*args) self.setRowCount(1) self.labels=['ROI','Type','From','To','Raw Counts','Net Counts'] self.setColumnCount(len(self.labels)) i=0 if QTVERSION > '4.2.0': self.setSortingEnabled(False) if 'labels' in kw: for label in kw['labels']: item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(label, qt.QTableWidgetItem.Type) item.setText(label) self.setHorizontalHeaderItem(i,item) i = i + 1 else: for label in self.labels: item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(label, qt.QTableWidgetItem.Type) item.setText(label) self.setHorizontalHeaderItem(i,item) i=i+1 self.roidict={} self.roilist=[] if 'roilist' in kw: self.roilist = kw['roilist'] if 'roidict' in kw: self.roidict.update(kw['roilist']) self.building = False self.build() #self.connect(self,qt.SIGNAL("cellClicked(int, int)"),self._mySlot) #self.connect(self,qt.SIGNAL("cellChanged(int, int)"),self._cellChangedSlot) self.cellClicked[(int, int)].connect(self._mySlot) self.cellChanged[(int, int)].connect(self._cellChangedSlot) verticalHeader = self.verticalHeader() verticalHeader.sectionClicked[int].connect(self._rowChangedSlot) def build(self): self.fillFromROIDict(roilist=self.roilist,roidict=self.roidict) def fillFromROIDict(self,roilist=[],roidict={},currentroi=None): self.building = True line0 = 0 self.roilist = [] self.roidict = {} for key in roilist: if key in roidict.keys(): roi = roidict[key] self.roilist.append(key) self.roidict[key] = {} self.roidict[key].update(roi) line0 = line0 + 1 nlines=self.rowCount() if (line0 > nlines): self.setRowCount(line0) line = line0 -1 self.roidict[key]['line'] = line ROI = key roitype = QString("%s" % roi['type']) fromdata= QString("%6g" % (roi['from'])) todata = QString("%6g" % (roi['to'])) if 'rawcounts' in roi: rawcounts= QString("%6g" % (roi['rawcounts'])) else: rawcounts = " ?????? " if 'netcounts' in roi: netcounts= QString("%6g" % (roi['netcounts'])) else: netcounts = " ?????? " fields = [ROI,roitype,fromdata,todata,rawcounts,netcounts] col = 0 for field in fields: key2 = self.item(line, col) if key2 is None: key2 = qt.QTableWidgetItem(field, qt.QTableWidgetItem.Type) self.setItem(line,col,key2) else: key2.setText(field) if (ROI.upper() == 'ICR') or (ROI.upper() == 'DEFAULT'): key2.setFlags(qt.Qt.ItemIsSelectable| qt.Qt.ItemIsEnabled) else: if col in [0, 2, 3]: key2.setFlags(qt.Qt.ItemIsSelectable| qt.Qt.ItemIsEnabled| qt.Qt.ItemIsEditable) else: key2.setFlags(qt.Qt.ItemIsSelectable| qt.Qt.ItemIsEnabled) col=col+1 self.setRowCount(line0) i = 0 for label in self.labels: self.resizeColumnToContents(i) i=i+1 self.sortByColumn(2, qt.Qt.AscendingOrder) for i in range(len(self.roilist)): key = str(self.item(i, 0).text()) self.roilist[i] = key self.roidict[key]['line'] = i if len(self.roilist) == 1: self.selectRow(0) else: if currentroi in self.roidict.keys(): self.selectRow(self.roidict[currentroi]['line']) if DEBUG: print("Qt4 ensureCellVisible to be implemented") self.building = False def addROI(self, roi, key=None): nlines = self.numRows() self.setNumRows(nlines+1) line = nlines if key is None: key = "%d " % line self.roidict[key] = {} self.roidict[key]['line'] = line self.roidict[key]['type'] = roi['type'] self.roidict[key]['from'] = roi['from'] self.roidict[key]['to'] = roi['to'] ROI = key roitype = QString("%s" % roi['type']) fromdata= QString("%6g" % (roi['from'])) todata = QString("%6g" % (roi['to'])) if 'rawcounts' in roi: rawcounts= QString("%6g" % (roi['rawcounts'])) else: rawcounts = " ?????? " self.roidict[key]['rawcounts'] = rawcounts if 'netcounts' in roi: netcounts= QString("%6g" % (roi['netcounts'])) else: netcounts = " ?????? " self.roidict[key]['netcounts'] = netcounts fields = [ROI,roitype,fromdata,todata,rawcounts,netcounts] col = 0 for field in fields: if (ROI == 'ICR') or (ROI.upper() == 'DEFAULT'): key=qttable.QTableItem(self,qttable.QTableItem.Never,field) else: if col == 0: key=qttable.QTableItem(self,qttable.QTableItem.OnTyping,field) else: key=qttable.QTableItem(self,qttable.QTableItem.Never,field) self.setItem(line,col,key) col=col+1 self.sortByColumn(2, qt.Qt.AscendingOrder) for i in range(len(self.roilist)): nkey = str(self.text(i,0)) self.roilist[i] = nkey self.roidict[nkey]['line'] = i self.selectRow(self.roidict[key]['line']) self.ensureCellVisible(self.roidict[key]['line'],0) def getROIListAndDict(self): return self.roilist,self.roidict def _mySlot(self, *var, **kw): #selection changed event #get the current selection row = self.currentRow() col = self.currentColumn() if row >= 0: ddict = {} ddict['event'] = "selectionChanged" ddict['row' ] = row ddict['col' ] = col if row >= len(self.roilist): if DEBUG: print("deleting???") return row = 0 item = self.item(row, 0) if item is None: text="" else: text = str(item.text()) self.roilist[row] = text ddict['roi' ] = self.roidict[self.roilist[row]] ddict['key'] = self.roilist[row] ddict['colheader'] = self.labels[col] ddict['rowheader'] = "%d" % row self.emitSignal(ddict) def _rowChangedSlot(self, row): self._emitSelectionChangedSignal(row, 0) def _cellChangedSlot(self, row, col): if DEBUG: print("_cellChangedSlot(%d, %d)" % (row, col)) if self.building: return if col == 0: self.nameSlot(row, col) else: self._valueChanged(row, col) def _valueChanged(self, row, col): if col not in [2, 3]: return item = self.item(row, col) if item is None: return text = str(item.text()) try: value = float(text) except: return if row >= len(self.roilist): if DEBUG: print("deleting???") return if QTVERSION < '4.0.0': text = str(self.text(row, 0)) else: item = self.item(row, 0) if item is None: text="" else: text = str(item.text()) if not len(text): return if col == 2: self.roidict[text]['from'] = value elif col ==3: self.roidict[text]['to'] = value self._emitSelectionChangedSignal(row, col) def nameSlot(self, row, col): if col != 0: return if row >= len(self.roilist): if DEBUG: print("deleting???") return item = self.item(row, col) if item is None: text="" else: text = str(item.text()) if len(text) and (text not in self.roilist): old = self.roilist[row] self.roilist[row] = text self.roidict[text] = {} self.roidict[text].update(self.roidict[old]) del self.roidict[old] self._emitSelectionChangedSignal(row, col) def _emitSelectionChangedSignal(self, row, col): ddict = {} ddict['event'] = "selectionChanged" ddict['row' ] = row ddict['col' ] = col ddict['roi' ] = self.roidict[self.roilist[row]] ddict['key'] = self.roilist[row] ddict['colheader'] = self.labels[col] ddict['rowheader'] = "%d" % row self.emitSignal(ddict) def mySlot(self,*var,**kw): if len(var) == 0: self._mySlot() return if len(var) == 2: ddict={} row = var[0] col = var[1] if col == 0: if row >= len(self.roilist): if DEBUG: print("deleting???") return row = 0 item = self.item(row, col) if item is None: text="" else: text = str(item.text()) if len(text) and (text not in self.roilist): old = self.roilist[row] self.roilist[row] = text self.roidict[text] = {} self.roidict[text].update(self.roidict[old]) del self.roidict[old] ddict = {} ddict['event'] = "selectionChanged" ddict['row' ] = row ddict['col' ] = col ddict['roi' ] = self.roidict[self.roilist[row]] ddict['key'] = self.roilist[row] ddict['colheader'] = self.labels[col] ddict['rowheader'] = "%d" % row self.emitSignal(ddict) else: if item is None: item = qt.QTableWidgetItem(text, qt.QTableWidgetItem.Type) else: item.setText(text) self._mySlot() def emitSignal(self, ddict): self.sigMcaROITableSignal.emit(ddict) class SimpleComboBox(qt.QComboBox): def __init__(self,parent = None,name = None,fl = 0,options=['1','2','3']): qt.QComboBox.__init__(self,parent) self.setOptions(options) def setOptions(self,options=['1','2','3']): self.clear() self.insertStrList(options) def getCurrent(self): return self.currentItem(),str(self.currentText()) if __name__ == '__main__': app = qt.QApplication([]) demo = McaROIWidget() demo.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/plotting/RGBCorrelatorGraph.py0000644000276300001750000006744513136054446023370 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy from . import PlotWidget from PyMca5.PyMcaGui import PyMcaQt as qt from .PyMca_Icons import IconDict from . import PyMcaPrintPreview from PyMca5.PyMcaCore import PyMcaDirs QTVERSION = qt.qVersion() DEBUG = 0 def convertToRowAndColumn(x, y, shape, xScale=None, yScale=None, safe=True): if xScale is None: c = x else: c = (x - xScale[0]) / xScale[1] if yScale is None: r = y else: r = ( y - yScale[0]) / yScale[1] if safe: c = min(int(c), shape[1] - 1) c = max(c, 0) r = min(int(r), shape[0] - 1) r = max(r, 0) else: c = int(c) r = int(r) return r, c class RGBCorrelatorGraph(qt.QWidget): sigProfileSignal = qt.pyqtSignal(object) def __init__(self, parent = None, backend=None, selection=False, aspect=True, colormap=False, imageicons=False, standalonesave=True, standalonezoom=True, profileselection=False, polygon=False): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self._keepDataAspectRatioFlag = False self._buildToolBar(selection, colormap, imageicons, standalonesave, standalonezoom=standalonezoom, profileselection=profileselection, aspect=aspect, polygon=polygon) self.graph = PlotWidget.PlotWidget(self, backend=backend, aspect=aspect) self.graph.setGraphXLabel("Column") self.graph.setGraphYLabel("Row") self.graph.setYAxisAutoScale(True) self.graph.setXAxisAutoScale(True) if profileselection: if len(self._pickerSelectionButtons): self.graph.sigPlotSignal.connect(\ self._graphPolygonSignalReceived) self._pickerSelectionWidthValue.valueChanged[int].connect( \ self.setPickerSelectionWith) self.saveDirectory = os.getcwd() self.mainLayout.addWidget(self.graph) self.printPreview = PyMcaPrintPreview.PyMcaPrintPreview(modal = 0) if DEBUG: print("printPreview id = %d" % id(self.printPreview)) def sizeHint(self): return qt.QSize(1.5 * qt.QWidget.sizeHint(self).width(), qt.QWidget.sizeHint(self).height()) def _buildToolBar(self, selection=False, colormap=False, imageicons=False, standalonesave=True, standalonezoom=True, profileselection=False, aspect=False, polygon=False): self.solidCircleIcon = qt.QIcon(qt.QPixmap(IconDict["solidcircle"])) self.solidEllipseIcon = qt.QIcon(qt.QPixmap(IconDict["solidellipse"])) self.colormapIcon = qt.QIcon(qt.QPixmap(IconDict["colormap"])) self.selectionIcon = qt.QIcon(qt.QPixmap(IconDict["normal"])) self.zoomResetIcon = qt.QIcon(qt.QPixmap(IconDict["zoomreset"])) self.polygonIcon = qt.QIcon(qt.QPixmap(IconDict["polygon"])) self.printIcon = qt.QIcon(qt.QPixmap(IconDict["fileprint"])) self.saveIcon = qt.QIcon(qt.QPixmap(IconDict["filesave"])) self.xAutoIcon = qt.QIcon(qt.QPixmap(IconDict["xauto"])) self.yAutoIcon = qt.QIcon(qt.QPixmap(IconDict["yauto"])) self.hFlipIcon = qt.QIcon(qt.QPixmap(IconDict["gioconda16mirror"])) self.imageIcon = qt.QIcon(qt.QPixmap(IconDict["image"])) self.eraseSelectionIcon = qt.QIcon(qt.QPixmap(IconDict["eraseselect"])) self.rectSelectionIcon = qt.QIcon(qt.QPixmap(IconDict["boxselect"])) self.brushSelectionIcon = qt.QIcon(qt.QPixmap(IconDict["brushselect"])) self.brushIcon = qt.QIcon(qt.QPixmap(IconDict["brush"])) self.additionalIcon = qt.QIcon(qt.QPixmap(IconDict["additionalselect"])) self.hLineIcon = qt.QIcon(qt.QPixmap(IconDict["horizontal"])) self.vLineIcon = qt.QIcon(qt.QPixmap(IconDict["vertical"])) self.lineIcon = qt.QIcon(qt.QPixmap(IconDict["diagonal"])) self.toolBar = qt.QWidget(self) self.toolBarLayout = qt.QHBoxLayout(self.toolBar) self.toolBarLayout.setContentsMargins(0, 0, 0, 0) self.toolBarLayout.setSpacing(0) self.mainLayout.addWidget(self.toolBar) #Autoscale if standalonezoom: tb = self._addToolButton(self.zoomResetIcon, self.__zoomReset, 'Auto-Scale the Graph') else: tb = self._addToolButton(self.zoomResetIcon, None, 'Auto-Scale the Graph') self.zoomResetToolButton = tb #y Autoscale tb = self._addToolButton(self.yAutoIcon, self._yAutoScaleToggle, 'Toggle Autoscale Y Axis (On/Off)', toggle = True, state=True) tb.setDown(True) self.yAutoScaleToolButton = tb tb.setDown(True) #x Autoscale tb = self._addToolButton(self.xAutoIcon, self._xAutoScaleToggle, 'Toggle Autoscale X Axis (On/Off)', toggle = True, state=True) self.xAutoScaleToolButton = tb tb.setDown(True) #Aspect ratio if aspect: self.aspectButton = self._addToolButton(self.solidCircleIcon, self._aspectButtonSignal, 'Keep data aspect ratio', toggle = False) self.aspectButton.setChecked(False) #colormap if colormap: tb = self._addToolButton(self.colormapIcon, None, 'Change Colormap') self.colormapToolButton = tb #flip tb = self._addToolButton(self.hFlipIcon, None, 'Flip Horizontal') self.hFlipToolButton = tb #save if standalonesave: tb = self._addToolButton(self.saveIcon, self._saveIconSignal, 'Save Graph') else: tb = self._addToolButton(self.saveIcon, None, 'Save') self.saveToolButton = tb #Selection if selection: tb = self._addToolButton(self.selectionIcon, None, 'Toggle Selection Mode', toggle = True, state = False) tb.setDown(False) self.selectionToolButton = tb #image selection icons if imageicons: tb = self._addToolButton(self.imageIcon, None, 'Reset') self.imageToolButton = tb tb = self._addToolButton(self.eraseSelectionIcon, None, 'Erase Selection') self.eraseSelectionToolButton = tb tb = self._addToolButton(self.rectSelectionIcon, None, 'Rectangular Selection') self.rectSelectionToolButton = tb tb = self._addToolButton(self.brushSelectionIcon, None, 'Brush Selection') self.brushSelectionToolButton = tb tb = self._addToolButton(self.brushIcon, None, 'Select Brush') self.brushToolButton = tb if polygon: tb = self._addToolButton(self.polygonIcon, None, 'Polygon selection\nRight click to finish') self.polygonSelectionToolButton = tb tb = self._addToolButton(self.additionalIcon, None, 'Additional Selections Menu') self.additionalSelectionToolButton = tb else: if polygon: tb = self._addToolButton(self.polygonIcon, None, 'Polygon selection\nRight click to finish') self.polygonSelectionToolButton = tb self.imageToolButton = None #picker selection self._pickerSelectionButtons = [] if profileselection: self._profileSelection = True self._polygonSelection = False self._pickerSelectionButtons = [] if self._profileSelection: tb = self._addToolButton(self.hLineIcon, self._hLineProfileClicked, 'Horizontal Profile Selection', toggle=True, state=False) self.hLineProfileButton = tb self._pickerSelectionButtons.append(tb) tb = self._addToolButton(self.vLineIcon, self._vLineProfileClicked, 'Vertical Profile Selection', toggle=True, state=False) self.vLineProfileButton = tb self._pickerSelectionButtons.append(tb) tb = self._addToolButton(self.lineIcon, self._lineProfileClicked, 'Line Profile Selection', toggle=True, state=False) self.lineProfileButton = tb self._pickerSelectionButtons.append(tb) self._pickerSelectionWidthLabel = qt.QLabel(self.toolBar) self._pickerSelectionWidthLabel.setText("W:") self.toolBar.layout().addWidget(self._pickerSelectionWidthLabel) self._pickerSelectionWidthValue = qt.QSpinBox(self.toolBar) self._pickerSelectionWidthValue.setMinimum(0) self._pickerSelectionWidthValue.setMaximum(1000) self._pickerSelectionWidthValue.setValue(1) self.toolBar.layout().addWidget(self._pickerSelectionWidthValue) #tb = self._addToolButton(None, # self._lineProfileClicked, # 'Line Profile Selection', # toggle=True, # state=False) #tb.setText = "W:" #self.lineWidthProfileButton = tb #self._pickerSelectionButtons.append(tb) if self._polygonSelection: print("Polygon selection not implemented yet") #hide profile selection buttons if imageicons: for button in self._pickerSelectionButtons: button.hide() self.infoWidget = qt.QWidget(self.toolBar) self.infoWidget.mainLayout = qt.QHBoxLayout(self.infoWidget) self.infoWidget.mainLayout.setContentsMargins(0, 0, 0, 0) self.infoWidget.mainLayout.setSpacing(0) self.infoWidget.label = qt.QLabel(self.infoWidget) self.infoWidget.label.setText("X = ???? Y = ???? Z = ????") self.infoWidget.mainLayout.addWidget(self.infoWidget.label) self.toolBarLayout.addWidget(self.infoWidget) self.infoWidget.hide() self.toolBarLayout.addWidget(qt.HorizontalSpacer(self.toolBar)) # ---print tb = self._addToolButton(self.printIcon, self.printGraph, 'Prints the Graph') def _aspectButtonSignal(self): if DEBUG: print("_aspectButtonSignal") if self._keepDataAspectRatioFlag: self.keepDataAspectRatio(False) else: self.keepDataAspectRatio(True) def keepDataAspectRatio(self, flag=True): if flag: self._keepDataAspectRatioFlag = True self.aspectButton.setIcon(self.solidEllipseIcon) self.aspectButton.setToolTip("Set free data aspect ratio") else: self._keepDataAspectRatioFlag = False self.aspectButton.setIcon(self.solidCircleIcon) self.aspectButton.setToolTip("Keep data aspect ratio") self.graph.keepDataAspectRatio(self._keepDataAspectRatioFlag) def showInfo(self): self.infoWidget.show() def hideInfo(self): self.infoWidget.hide() def setInfoText(self, text): self.infoWidget.label.setText(text) def setMouseText(self, text=""): try: if len(text): qt.QToolTip.showText(self.cursor().pos(), text, self, qt.QRect()) else: qt.QToolTip.hideText() except: print("Error trying to show mouse text <%s>" % text) def focusOutEvent(self, ev): qt.QToolTip.hideText() def infoText(self): return self.infoWidget.label.text() def setXLabel(self, label="Column"): return self.graph.setGraphXLabel(label) def setYLabel(self, label="Row"): return self.graph.setGraphYLabel(label) def getXLabel(self): return self.graph.getGraphXLabel() def getYLabel(self): return self.graph.getGraphYLabel() def hideImageIcons(self): if self.imageToolButton is None:return self.imageToolButton.hide() self.eraseSelectionToolButton.hide() self.rectSelectionToolButton.hide() self.brushSelectionToolButton.hide() self.brushToolButton.hide() if hasattr(self, "polygonSelectionToolButton"): self.polygonSelectionToolButton.hide() self.additionalSelectionToolButton.hide() def showImageIcons(self): if self.imageToolButton is None:return self.imageToolButton.show() self.eraseSelectionToolButton.show() self.rectSelectionToolButton.show() self.brushSelectionToolButton.show() self.brushToolButton.show() if hasattr(self, "polygonSelectionToolButton"): self.polygonSelectionToolButton.show() self.additionalSelectionToolButton.show() def _hLineProfileClicked(self): for button in self._pickerSelectionButtons: if button != self.hLineProfileButton: button.setChecked(False) if self.hLineProfileButton.isChecked(): self._setPickerSelectionMode("HORIZONTAL") else: self._setPickerSelectionMode(None) def _vLineProfileClicked(self): for button in self._pickerSelectionButtons: if button != self.vLineProfileButton: button.setChecked(False) if self.vLineProfileButton.isChecked(): self._setPickerSelectionMode("VERTICAL") else: self._setPickerSelectionMode(None) def _lineProfileClicked(self): for button in self._pickerSelectionButtons: if button != self.lineProfileButton: button.setChecked(False) if self.lineProfileButton.isChecked(): self._setPickerSelectionMode("LINE") else: self._setPickerSelectionMode(None) def setPickerSelectionWith(self, intValue): self._pickerSelectionWidthValue.setValue(intValue) #get the current mode mode = "NONE" for button in self._pickerSelectionButtons: if button.isChecked(): if button == self.hLineProfileButton: mode = "HORIZONTAL" elif button == self.vLineProfileButton: mode = "VERTICAL" elif button == self.lineProfileButton: mode = "LINE" ddict = {} ddict['event'] = "profileWidthChanged" ddict['pixelwidth'] = self._pickerSelectionWidthValue.value() ddict['mode'] = mode self.sigProfileSignal.emit(ddict) def hideProfileSelectionIcons(self): if not len(self._pickerSelectionButtons): return for button in self._pickerSelectionButtons: button.setChecked(False) button.hide() self._pickerSelectionWidthLabel.hide() self._pickerSelectionWidthValue.hide() #self.graph.setPickerSelectionModeOff() self.graph.setDrawModeEnabled(False) def showProfileSelectionIcons(self): if not len(self._pickerSelectionButtons): return for button in self._pickerSelectionButtons: button.show() self._pickerSelectionWidthLabel.show() self._pickerSelectionWidthValue.show() def getPickerSelectionMode(self): if not len(self._pickerSelectionButtons): return None if self.hLineProfileButton.isChecked(): return "HORIZONTAL" if self.vLineProfileButton.isChecked(): return "VERTICAL" if self.lineProfileButton.isChecked(): return "LINE" return None def _setPickerSelectionMode(self, mode=None): if mode is None: self.graph.setDrawModeEnabled(False) self.graph.setZoomModeEnabled(True) else: if mode == "HORIZONTAL": shape = "hline" elif mode == "VERTICAL": shape = "vline" else: shape = "line" self.graph.setZoomModeEnabled(False) self.graph.setDrawModeEnabled(True, shape=shape, label=mode) ddict = {} if mode is None: mode = "NONE" ddict['event'] = "profileModeChanged" ddict['mode'] = mode self.sigProfileSignal.emit(ddict) def _graphPolygonSignalReceived(self, ddict): if DEBUG: print("PolygonSignal Received") for key in ddict.keys(): print(key, ddict[key]) if ddict['event'] not in ['drawingProgress', 'drawingFinished']: return label = ddict['parameters']['label'] if label not in ['HORIZONTAL', 'VERTICAL', 'LINE']: return ddict['mode'] = label ddict['pixelwidth'] = self._pickerSelectionWidthValue.value() self.sigProfileSignal.emit(ddict) def _addToolButton(self, icon, action, tip, toggle=None, state=None, position=None): tb = qt.QToolButton(self.toolBar) if icon is not None: tb.setIcon(icon) tb.setToolTip(tip) if toggle is not None: if toggle: tb.setCheckable(1) if state is not None: if state: tb.setChecked(state) else: tb.setChecked(False) if position is not None: self.toolBarLayout.insertWidget(position, tb) else: self.toolBarLayout.addWidget(tb) if action is not None: tb.clicked.connect(action) return tb def __zoomReset(self): self._zoomReset() def _zoomReset(self, replot=None): if DEBUG: print("_zoomReset") if replot is None: replot = True if self.graph is not None: self.graph.resetZoom() if replot: self.graph.replot() def _yAutoScaleToggle(self): if self.graph is not None: if self.graph.isYAxisAutoScale(): self.graph.setYAxisAutoScale(False) self.yAutoScaleToolButton.setDown(False) else: self.graph.setYAxisAutoScale(True) self.yAutoScaleToolButton.setDown(True) def _xAutoScaleToggle(self): if self.graph is not None: if self.graph.isXAxisAutoScale(): self.graph.setXAxisAutoScale(False) self.xAutoScaleToolButton.setDown(False) else: self.graph.setXAxisAutoScale(True) self.xAutoScaleToolButton.setDown(True) def _saveIconSignal(self): self.saveDirectory = PyMcaDirs.outputDir fileTypeList = ["Image *.png", "Image *.jpg", "ZoomedImage *.png", "ZoomedImage *.jpg", "Widget *.png", "Widget *.jpg"] outfile = qt.QFileDialog(self) outfile.setModal(1) outfile.setWindowTitle("Output File Selection") if hasattr(qt, "QStringList"): strlist = qt.QStringList() else: strlist = [] for f in fileTypeList: strlist.append(f) if hasattr(outfile, "setFilters"): outfile.setFilters(strlist) else: outfile.setNameFilters(strlist) outfile.setFileMode(outfile.AnyFile) outfile.setAcceptMode(qt.QFileDialog.AcceptSave) outfile.setDirectory(self.saveDirectory) ret = outfile.exec_() if not ret: return if hasattr(outfile, "selectedFilter"): filterused = qt.safe_str(outfile.selectedFilter()).split() else: filterused = qt.safe_str(outfile.selectedNameFilter()).split() filetype = filterused[0] extension = filterused[1] outstr = qt.safe_str(outfile.selectedFiles()[0]) try: outputFile = os.path.basename(outstr) except: outputFile = outstr outputDir = os.path.dirname(outstr) self.saveDirectory = outputDir PyMcaDirs.outputDir = outputDir #always overwrite for the time being if len(outputFile) < len(extension[1:]): outputFile += extension[1:] elif outputFile[-4:] != extension[1:]: outputFile += extension[1:] outputFile = os.path.join(outputDir, outputFile) if os.path.exists(outputFile): try: os.remove(outputFile) except: qt.QMessageBox.critical(self, "Save Error", "Cannot overwrite existing file") return if filetype.upper() == "IMAGE": self.saveGraphImage(outputFile, original = True) elif filetype.upper() == "ZOOMEDIMAGE": self.saveGraphImage(outputFile, original = False) else: self.saveGraphWidget(outputFile) def saveGraphImage(self, filename, original = False): format_ = filename[-3:].upper() #This is the whole image, not the zoomed one ... rgbData, legend, info, pixmap = self.graph.getActiveImage() if original: # save whole image bgrData = numpy.array(rgbData, copy=True) bgrData[:,:,0] = rgbData[:, :, 2] bgrData[:,:,2] = rgbData[:, :, 0] else: xScale = info.get("plot_xScale", None) yScale = info.get("plot_yScale", None) shape = rgbData.shape[:2] xmin, xmax = self.graph.getGraphXLimits() ymin, ymax = self.graph.getGraphYLimits() # save zoomed image, for that we have to get the limits r0, c0 = convertToRowAndColumn(xmin, ymin, shape, xScale=xScale, yScale=yScale, safe=True) r1, c1 = convertToRowAndColumn(xmax, ymax, shape, xScale=xScale, yScale=yScale, safe=True) row0 = int(min(r0, r1)) row1 = int(max(r0, r1)) col0 = int(min(c0, c1)) col1 = int(max(c0, c1)) if row1 < shape[0]: row1 += 1 if col1 < shape[1]: col1 += 1 tmpArray = rgbData[row0:row1, col0:col1, :] bgrData = numpy.array(tmpArray, copy=True, dtype=rgbData.dtype) bgrData[:,:,0] = tmpArray[:, :, 2] bgrData[:,:,2] = tmpArray[:, :, 0] if self.graph.isYAxisInverted(): qImage = qt.QImage(bgrData, bgrData.shape[1], bgrData.shape[0], qt.QImage.Format_RGB32) else: qImage = qt.QImage(bgrData, bgrData.shape[1], bgrData.shape[0], qt.QImage.Format_RGB32).mirrored(False, True) pixmap = qt.QPixmap.fromImage(qImage) if pixmap.save(filename, format_): return else: qt.QMessageBox.critical(self, "Save Error", "%s" % sys.exc_info()[1]) return def saveGraphWidget(self, filename): format_ = filename[-3:].upper() if hasattr(qt.QPixmap, "graphWidget"): # Qt4 pixmap = qt.QPixmap.grabWidget(self.graph.getWidgetHandle()) else: # Qt5 pixmap = self.graph.getWidgetHandle().grab() if pixmap.save(filename, format_): return else: qt.QMessageBox.critical(self, "Save Error", "%s" % sys.exc_info()[1]) return def setSaveDirectory(self, wdir): if os.path.exists(wdir): self.saveDirectory = wdir return True else: return False def printGraph(self): if hasattr(qt.QPixmap, "grabWidget"): pixmap = qt.QPixmap.grabWidget(self.graph.getWidgetHandle()) else: pixmap = self.graph.getWidgetHandle().grab() self.printPreview.addPixmap(pixmap) if self.printPreview.isReady(): if self.printPreview.isHidden(): self.printPreview.show() self.printPreview.raise_() def selectColormap(self): qt.QMessageBox.information(self, "Open", "Not implemented (yet)") class MyQLabel(qt.QLabel): def __init__(self,parent=None,name=None,fl=0,bold=True, color= qt.Qt.red): qt.QLabel.__init__(self,parent) palette = self.palette() role = self.foregroundRole() palette.setColor(role,color) self.setPalette(palette) self.font().setBold(bold) def test(): app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) container = RGBCorrelatorGraph() container.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/PluginsToolButton.py0000644000276300001750000002162113173367502021535 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ """This module defines a QToolButton opening a plugin menu when clicked: - :class:`PluginsToolButton` This button takes a plot object as constructor parameter. The plot can be a legacy *PyMca* plot widget, or a *silx* plot widget. The minor API incompatibilities between the plugins and the *silx* plot widget are solved using a proxy class (:class:`PlotProxySilx`). This button inherits :class:`PluginLoader` to load the plugins. It also acts as a plot proxy to dynamically provide the plot methods needed by the plugins. This is done in its method :meth:`PluginsToolButton.__getattr__` which looks for needed methods in :attr:`PluginsToolButton.plot`. """ # TODO: we should probably support future plugins using the new silx plot API # (e.g. expecting 5 return values from getActiveCurve() ...) import logging import os import sys import traceback import weakref from silx.gui import qt from PyMca5.PyMcaGraph.PluginLoader import PluginLoader from PyMca5.PyMcaGui.plotting.PyMca_Icons import IconDict _logger = logging.getLogger(__name__) def _toggleLogger(): """Toggle logger level for logging.DEBUG to logging.WARNING and vice-versa.""" if _logger.getEffectiveLevel() == logging.DEBUG: _logger.setLevel(logging.WARNING) else: _logger.setLevel(logging.DEBUG) class PluginsToolButton(qt.QToolButton, PluginLoader): """Toolbutton providing a context menu loaded with PyMca plugins. It behaves as a proxy for accessing the plot methods from the plugins. :param plot: reference to related plot widget :param parent: Parent QWidget widget """ def __init__(self, plot, parent=None): qt.QToolButton.__init__(self, parent) self.setIcon(qt.QIcon(qt.QPixmap(IconDict["plugin"]))) self.setToolTip("Call/Load 1D Plugins") # fill attr pluginList and pluginInstanceDict with existing plugins PluginLoader.__init__(self, method='getPlugin1DInstance') # plugins expect a legacy API, not the silx Plot API self.plot = weakref.proxy(plot, self._ooPlotDestroyed) self.clicked.connect(self._pluginClicked) def _ooPlotDestroyed(self): self.setEnabled(False) def __getattr__(self, attr): """Plot API for plugins: forward calls for unknown methods to :attr:`plot`.""" try: return getattr(self.plot, attr) except AttributeError: # blame plot class for missing attribute, not PluginsToolButton raise AttributeError( self.plot.__class__.__name__ + " has no attribute " + attr) def _pluginClicked(self): actionNames = [] menu = qt.QMenu(self) menu.addAction("Reload Plugins") actionNames.append("Reload Plugins") menu.addAction("Set User Plugin Directory") actionNames.append("Set User Plugin Directory") if _logger.getEffectiveLevel() == logging.DEBUG: text = "Toggle DEBUG mode OFF" else: text = "Toggle DEBUG mode ON" menu.addAction(text) menu.addSeparator() actionNames.append(text) callableKeys = ["Dummy0", "Dummy1", "Dummy2"] pluginInstances = self.pluginInstanceDict for pluginName in self.pluginList: if pluginName in ["PyMcaPlugins.Plugin1DBase", "Plugin1DBase"]: continue module = sys.modules[pluginName] if hasattr(module, 'MENU_TEXT'): text = module.MENU_TEXT else: text = os.path.basename(module.__file__) if text.endswith('.pyc'): text = text[:-4] elif text.endswith('.py'): text = text[:-3] methods = pluginInstances[pluginName].getMethods( plottype=self.plot._plotType) if not len(methods): continue elif len(methods) == 1: pixmap = pluginInstances[pluginName].getMethodPixmap(methods[0]) tip = pluginInstances[pluginName].getMethodToolTip(methods[0]) if pixmap is not None: action = qt.QAction(qt.QIcon(qt.QPixmap(pixmap)), text, self) else: action = qt.QAction(text, self) if tip is not None: action.setToolTip(tip) menu.addAction(action) else: menu.addAction(text) actionNames.append(text) callableKeys.append(pluginName) menu.hovered.connect(self._actionHovered) a = menu.exec_(qt.QCursor.pos()) if a is None: return None idx = actionNames.index(a.text()) if a.text() == "Reload Plugins": n, message = self.getPlugins(exceptions=True) if n < 1: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Information) msg.setWindowTitle("No plugins") msg.setInformativeText(" Problem loading plugins ") msg.setDetailedText(message) msg.exec_() return if a.text() == "Set User Plugin Directory": dirName = qt.QFileDialog.getExistingDirectory( self, "Enter user plugins directory", os.getcwd()) if len(dirName): pluginsDir = self.getPluginDirectoryList() pluginsDirList = [pluginsDir[0], dirName] self.setPluginDirectoryList(pluginsDirList) return if "Toggle DEBUG mode" in a.text(): _toggleLogger() key = callableKeys[idx] methods = pluginInstances[key].getMethods( plottype=self.plot._plotType) if len(methods) == 1: idx = 0 else: actionNames = [] # allow the plugin designer to specify the order #methods.sort() menu = qt.QMenu(self) for method in methods: text = method pixmap = pluginInstances[key].getMethodPixmap(method) tip = pluginInstances[key].getMethodToolTip(method) if pixmap is not None: action = qt.QAction(qt.QIcon(qt.QPixmap(pixmap)), text, self) else: action = qt.QAction(text, self) if tip is not None: action.setToolTip(tip) menu.addAction(action) actionNames.append((text, pixmap, tip, action)) #qt.QObject.connect(menu, qt.SIGNAL("hovered(QAction *)"), self._actionHovered) menu.hovered.connect(self._actionHovered) a = menu.exec_(qt.QCursor.pos()) if a is None: return None idx = -1 for action in actionNames: if a.text() == action[0]: idx = actionNames.index(action) try: pluginInstances[key].applyMethod(methods[idx]) except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Plugin error") msg.setText("An error has occured while executing the plugin:") msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() def _actionHovered(self, action): # from PyMca5 PlotWindow tip = action.toolTip() if str(tip) != str(action.text()): qt.QToolTip.showText(qt.QCursor.pos(), tip) else: qt.QToolTip.hideText() PyMca5-5.2.2/PyMca5/PyMcaGui/math/0000755000276300001750000000000013205526235016433 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaGui/math/NNMAWindow.py0000644000276300001750000003146113136054446020736 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import numpy from PyMca5.PyMcaGui.math import PCAWindow from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaMath.mva import NNMAModule class NNMAParametersDialog(qt.QDialog): def __init__(self, parent = None, options=[1, 2, 3, 4, 5, 10]): qt.QDialog.__init__(self, parent) self.setWindowTitle("NNMA Configuration Dialog") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(11, 11, 11, 11) self.mainLayout.setSpacing(0) self.infoButton = qt.QPushButton(self) self.infoButton.setAutoDefault(False) self.infoButton.setText('About NNMA') self.mainLayout.addWidget(self.infoButton) self.infoButton.clicked.connect(self._showInfo) # self.methodOptions = qt.QGroupBox(self) self.methodOptions.setTitle('NNMA Method to use') self.methods = ['RRI', 'NNSC', 'NMF', 'SNMF', 'NMFKL', 'FNMAI', 'ALS', 'FastHALS', 'GDCLS'] self.methodOptions.mainLayout = qt.QGridLayout(self.methodOptions) self.methodOptions.mainLayout.setContentsMargins(0, 0, 0, 0) self.methodOptions.mainLayout.setSpacing(2) self.buttonGroup = qt.QButtonGroup(self.methodOptions) i = 0 for item in self.methods: rButton = qt.QRadioButton(self.methodOptions) self.methodOptions.mainLayout.addWidget(rButton, 0, i) #self.l.setAlignment(rButton, qt.Qt.AlignHCenter) if i == 1: rButton.setChecked(True) rButton.setText(item) self.buttonGroup.addButton(rButton) self.buttonGroup.setId(rButton, i) i += 1 self.buttonGroup.buttonPressed[int].connect(self._slot) self.mainLayout.addWidget(self.methodOptions) # NNMA configuration parameters self.nnmaConfiguration = qt.QGroupBox(self) self.nnmaConfiguration.setTitle('NNMA Configuration') self.nnmaConfiguration.mainLayout = qt.QGridLayout(self.nnmaConfiguration) self.nnmaConfiguration.mainLayout.setContentsMargins(0, 0, 0, 0) self.nnmaConfiguration.mainLayout.setSpacing(2) label = qt.QLabel(self.nnmaConfiguration) label.setText('Tolerance (0 self._shape[i]: offset = self._shape[i] - width if offset < 0: print("This should not happen") offset = 0 self.widgetDict[key]['offset'].setValue(offset) return else: lastItem = 0 for j in range(1, 11): v = pow(2, j) if v <= (self._shape[i] - offset): lastItem = "%d" % v self.widgetDict[key]['width'].addItem(lastItem) self.emitParametersWidgetSignal() def _widthValueChanged(self, value): if self._settingShape: return ddict = self.getParameters() for i in range(self._nDimensions): key = "Dim %d" % i offset = ddict[key]['offset'] width = ddict[key]['width'] if (offset + width) > self._shape[i]: offset = self._shape[i] - width self.widgetDict[key]['offset'].setValue(offset) return self.emitParametersWidgetSignal() def setShape(self, shape): if len(shape) != self._nDimensions: raise ValueError("Shape length does not match number of dimensions") self._shape = shape self._settingShape = True for i in range(self._nDimensions): key = "Dim %d" % i # offset current = self.widgetDict[key]['offset'].value() self.widgetDict[key]['offset'].setMinimum(0) self.widgetDict[key]['offset'].setMaximum(shape[i] - 1) if current < shape[0]: self.widgetDict[key]['offset'].setValue(current) else: self.widgetDict[key]['offset'].setValue(0) # width current = str(self.widgetDict[key]['width'].currentText()) self.widgetDict[key]['width'].clear() nMax = int(numpy.log10(self._shape[i])/numpy.log10(2)) for j in range(1, nMax + 1): self.widgetDict[key]['width'].addItem("%d" % pow(2, j)) self.widgetDict[key]['width'].setCurrentIndex(nMax - 1) self._settingShape = False def getParameters(self): ddict = {} for i in range(self._nDimensions): key = "Dim %d" % i ddict[key] = {} ddict[key]['offset'] = self.widgetDict[key]['offset'].value() width = str(self.widgetDict[key]['width'].currentText()) ddict[key]['width'] = int(width) ddict['shape'] = self._shape * 1 return ddict def emitParametersWidgetSignal(self, event="ParametersChanged"): ddict = self.getParameters() ddict['event'] = "ParametersChanged" self.parametersWidgetSignal.emit(ddict) class OutputFile(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QHBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.checkBox = qt.QCheckBox(self) self.checkBox.setText("Use") self.fileName = qt.QLineEdit(self) self.fileName.setText("") self.fileName.setReadOnly(True) self.browse = qt.QPushButton(self) self.browse.setAutoDefault(False) self.browse.setText("Browse") self.browse.clicked.connect(self.browseFile) self.mainLayout.addWidget(self.checkBox) self.mainLayout.addWidget(self.fileName) self.mainLayout.addWidget(self.browse) def browseFile(self): filelist = PyMcaFileDialogs.getFileList(self, filetypelist=['HDF5 files (*.h5)'], message="Please enter output file", mode="SAVE", single=True) if len(filelist): name = filelist[0] if not name.endswith('.h5'): name = name + ".h5" self.fileName.setText(name) def getParameters(self): ddict = {} ddict['file_use'] = self.checkBox.isChecked() ddict['file_name'] = qt.safe_str(self.fileName.text()) return ddict def setForcedFileOutput(self, flag=True): if flag: self.checkBox.setChecked(True) self.checkBox.setEnabled(False) else: self.checkBox.setChecked(False) self.checkBox.setEnabled(True) class FFTAlignmentWindow(qt.QWidget): def __init__(self, parent=None, stack=None): qt.QWidget.__init__(self, parent) self.setWindowTitle("FFT Alignment") self._build() def _build(self): self.mainLayout = qt.QVBoxLayout(self) self.parametersWidget = ParametersWidget(self) self.outputFileWidget = OutputFile(self) self.imageBrowser = ExternalImagesWindow.ExternalImagesWindow(self, crop=False, selection=False, imageicons=False) self.mainLayout.addWidget(self.parametersWidget) self.mainLayout.addWidget(self.outputFileWidget) self.mainLayout.addWidget(self.imageBrowser) self.parametersWidget.parametersWidgetSignal.connect(self.mySlot) def setStack(self, stack, index=None): if index is None: if hasattr(stack, "info"): index = stack.info.get('McaIndex') else: index = 0 if hasattr(stack, "info") and hasattr(stack, "data"): data = stack.data else: data = stack if isinstance(data, numpy.ndarray): self.outputFileWidget.setForcedFileOutput(False) else: self.outputFileWidget.setForcedFileOutput(True) self.imageBrowser.setStack(data, index=index) shape = self.imageBrowser.getImageData().shape self.parametersWidget.setShape(shape) ddict = self.parametersWidget.getParameters() self.mySlot(ddict) def getParameters(self): parameters = self.parametersWidget.getParameters() parameters['reference_image'] = self.imageBrowser.getImageData() parameters.update(self.outputFileWidget.getParameters()) parameters['reference_index'] = self.imageBrowser.getCurrentIndex() return parameters def mySlot(self, ddict): mask = self.imageBrowser.getSelectionMask() i0start = ddict['Dim 0']['offset'] i0end = i0start + ddict['Dim 0']['width'] i1start = ddict['Dim 1']['offset'] i1end = i1start + ddict['Dim 1']['width'] mask[:,:] = 0 mask[i0start:i0end, i1start:i1end] = 1 self.imageBrowser.setSelectionMask(mask) class FFTAlignmentDialog(qt.QDialog): def __init__(self, parent=None): qt.QDialog.__init__(self, parent) self.setWindowTitle("FFT Alignment Dialog") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.parametersWidget = FFTAlignmentWindow(self) self.mainLayout.addWidget(self.parametersWidget) hbox = qt.QWidget(self) hboxLayout = qt.QHBoxLayout(hbox) hboxLayout.setContentsMargins(0, 0, 0, 0) hboxLayout.setSpacing(0) self.okButton = qt.QPushButton(hbox) self.okButton.setText("OK") self.okButton.setAutoDefault(False) self.dismissButton = qt.QPushButton(hbox) self.dismissButton.setText("Cancel") self.dismissButton.setAutoDefault(False) hboxLayout.addWidget(self.okButton) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) hboxLayout.addWidget(self.dismissButton) self.mainLayout.addWidget(hbox) self.dismissButton.clicked.connect(self.reject) self.okButton.clicked.connect(self.accept) self.setStack = self.parametersWidget.setStack self.setDummyStack() def setDummyStack(self): dummyStack = numpy.arange(2 * 128 *256) dummyStack.shape = 2, 128, 256 self.setStack(dummyStack, index=0) def getParameters(self): return self.parametersWidget.getParameters() def accept(self): parameters = self.getParameters() if parameters['file_use']: if not len(parameters['file_name']): qt.QMessageBox.information(self, "Missing valid file name", "Please provide a valid output file name") return shape = parameters['shape'] for i in range(len(shape)): key = "Dim %d" % i offset = parameters[key]['offset'] width = parameters[key]['width'] if (offset + width) > shape[i]: qt.QMessageBox.information(self, "Check window", "Inconsistent limits on dimension %d" % i) return return qt.QDialog.accept(self) def reject(self): self.setDummyStack() return qt.QDialog.reject(self) def closeEvent(self, ev): self.setDummyStack() return qt.QDialog.closeEvent(self, ev) if __name__ == "__main__": #create a dummy stack nrows = 100 ncols = 200 nchannels = 1024 a = numpy.ones((nrows, ncols), numpy.float) stackData = numpy.zeros((nrows, ncols, nchannels), numpy.float) for i in range(nchannels): stackData[:, :, i] = a * i app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) w = FFTAlignmentDialog() w.setStack(stackData, index=0) w.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/math/__init__.py0000644000276300001750000000000013136054446020535 0ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaGui/math/NNMADialog.py0000644000276300001750000002463413136054446020672 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import numpy import time from PyMca5.PyMcaGui import PyMcaQt as qt from . import NNMAWindow NNMA = True DEBUG = 0 class SimpleThread(qt.QThread): def __init__(self, function, *var, **kw): if kw is None:kw={} qt.QThread.__init__(self) self._function = function self._var = var self._kw = kw self._result = None def run(self): if DEBUG: self._result = self._function(*self._var, **self._kw ) else: try: self._result = self._function(*self._var, **self._kw ) except: self._result = ("Exception",) + sys.exc_info() class NNMADialog(qt.QDialog): def __init__(self, parent=None, rgbwidget=None, selection=False): qt.QDialog.__init__(self, parent) self.setWindowTitle("NNMA calculation dialog") self.mainLayout = qt.QVBoxLayout(self) self.calculateButton = qt.QPushButton(self) self.calculateButton.setAutoDefault(False) self.calculateButton.setText("Perform NNMA") self.showLastButton = qt.QPushButton(self) self.showLastButton.setAutoDefault(False) self.showLastButton.setText("Last Results") self.mainLayout.addWidget(self.calculateButton) self.mainLayout.addWidget(self.showLastButton) self._data = None self.nnmaWindow = NNMAWindow.NNMAWindow(parent = None, rgbwidget=rgbwidget, #selection=True, selection=selection, colormap=True, #imageicons=True, imageicons=selection, standalonesave=True) self.nnmaWindow.setDefaultColormap(0, logflag=False) self.nnmaParametersDialog = None self.nnmaWindow.hide() #connections self.calculateButton.clicked.connect(self._calculateSlot) self.showLastButton.clicked.connect(self._showLastSlot) def sizeHint(self): return qt.QSize(int(4*qt.QDialog.sizeHint(self).width()), qt.QDialog.sizeHint(self).height()) def _calculateSlot(self): if self._data is None: msg = qt.QMessageBox(self) msg.setWindowTitle("No data") msg.setIcon(qt.QMessageBox.Information) msg.setText("No data to perform calculation") msg.exec_() return if self.nnmaParametersDialog is None: self.nnmaParametersDialog = NNMAWindow.NNMAParametersDialog(self) self.nnmaParametersDialog.nPC.setMaximum(self._spectrumLength) self.nnmaParametersDialog.nPC.setValue(min(10, self._spectrumLength)) ddict = {'options':self._binningOptions, 'binning': 1, 'method': 0} self.nnmaParametersDialog.setParameters(ddict) ret = self.nnmaParametersDialog.exec_() if ret: if DEBUG: t0 = time.time() nnmaParameters = self.nnmaParametersDialog.getParameters() self.nnmaParametersDialog.close() function = nnmaParameters['function'] binning = nnmaParameters['binning'] npc = nnmaParameters['npc'] kw = nnmaParameters['kw'] data = self._data old_shape = self._data.shape if DEBUG: images, eigenvalues, eigenvectors = function(data, npc, binning=binning, **kw) else: try: threadResult = self._submitThread(function, data, npc, binning=binning, **kw) if type(threadResult) == type((1,)): if len(threadResult): if threadResult[0] == "Exception": raise Exception(threadResult[1],threadResult[2]) images, eigenvalues, eigenvectors = threadResult except: if isinstance(data, numpy.ndarray): self._data.shape = old_shape msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("%s" % sys.exc_info()[1]) msg.exec_() return if isinstance(self._data, numpy.ndarray): self._data.shape = old_shape if DEBUG: print("NNMA Elapsed = ", time.time() - t0) self.nnmaWindow.setPCAData(images, eigenvalues, eigenvectors) self.nnmaWindow.show() self.nnmaWindow.raise_() def _showLastSlot(self): self.nnmaWindow.show() self.nnmaWindow.raise_() def setData(self, data=None, spectrumindex=-1): if type(data) == type([]): #assume is an image list if data[0].dtype not in [numpy.float32, numpy.float64]: dtype = numpy.float64 else: dtype = data[0].dtype self._spectrumLength = len(data) self._shape = data[0].shape n = 1 for shape in self._shape: n *= shape self._binningOptions = [1] if len(self._shape) == 1: self._data = numpy.zeros((self._shape[0], self._spectrumLength), dtype) for i in range(self._spectrumLength): self._data[:, i] = data[i][:] elif len(self._shape) == 2: self._data = numpy.zeros((self._shape[0], self._shape[1], self._spectrumLength), dtype) for i in range(self._spectrumLength): self._data[:, :, i] = data[i][:,:] else: self._shape = data.shape self._data = data self._spectrumLength = self._shape[spectrumindex] self._binningOptions=[1] for number in [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 15, 17, 19]: if (self._spectrumLength % number) == 0: self._binningOptions.append(number) if self.nnmaParametersDialog is not None: self.nnmaParametersDialog.nPC.setMaximum(self._spectrumLength) self.nnmaParametersDialog.nPC.setValue(min(10, self._spectrumLength)) def _submitThread(self, function, *var, **kw): message = "Please Wait: NNMA Going On" sthread = SimpleThread(function, *var, **kw) return self._startThread(sthread, message) def _startThread(self, sthread, message): sthread.start() if 0: msg = qt.QDialog(self, qt.Qt.FramelessWindowHint) msg.setModal(0) else: msg = qt.QDialog(self, qt.Qt.FramelessWindowHint) msg.setModal(1) msg.setWindowTitle("Please Wait") layout = qt.QHBoxLayout(msg) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) l1 = qt.QLabel(msg) l1.setFixedWidth(l1.fontMetrics().width('##')) l2 = qt.QLabel(msg) l2.setText("%s" % message) l3 = qt.QLabel(msg) l3.setFixedWidth(l3.fontMetrics().width('##')) layout.addWidget(l1) layout.addWidget(l2) layout.addWidget(l3) msg.show() qApp = qt.QApplication.instance() qApp.processEvents() i = 0 ticks = ['-','\\', "|", "/","-","\\",'|','/'] while (sthread.isRunning()): i = (i+1) % 8 l1.setText(ticks[i]) l3.setText(" "+ticks[i]) qApp = qt.QApplication.instance() qApp.processEvents() time.sleep(2) msg.close() result = sthread._result del sthread self.raise_() return result if __name__ == "__main__": import os from PyMca5.PyMcaIO import EdfFile app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) d = NNMADialog() imageList = [] for t in ["mix1.edf", "mix2.edf", "mix3.edf"]: fname = os.path.join(os.path.dirname(__file__), "tests", t) if not os.path.exists(fname): break edf = EdfFile.EdfFile(fname) data = edf.GetData(0) edf = None imageList.append(data) if len(imageList): d.setData(imageList) d.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/math/StripBackgroundWidget.py0000644000276300001750000003533713136054446023270 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import numpy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PlotWindow from PyMca5.PyMcaMath.fitting import SpecfitFuns class StripParametersWidget(qt.QWidget): sigStripParametersWidgetSignal = qt.pyqtSignal(object) def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.build() def build(self): self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(11, 11, 11, 11) self.mainLayout.setSpacing(6) #strip algorithm self.stripComboLabel = qt.QLabel(self) self.stripComboLabel.setText("Non-analytical (or estimation) background algorithm") self.stripCombo = qt.QComboBox(self) self.stripCombo.addItem(str("Strip")) self.stripCombo.addItem(str("SNIP")) self.stripCombo.activated[int].connect(self._stripComboActivated) #SNIP width self.snipWidthLabel = qt.QLabel(self) self.snipWidthLabel.setText(str("SNIP Background Width")) self.snipWidthSpin = qt.QSpinBox(self) self.snipWidthSpin.setMaximum(300) self.snipWidthSpin.setMinimum(0) self.snipWidthSpin.valueChanged[int].connect(self._emitSignal) #Strip width self.stripWidthLabel = qt.QLabel(self) self.stripWidthLabel.setText(str("Strip Background Width")) self.stripWidthSpin = qt.QSpinBox(self) self.stripWidthSpin.setMaximum(100) self.stripWidthSpin.setMinimum(1) self.stripWidthSpin.valueChanged[int].connect(self._emitSignal) #Strip iterations self.stripIterLabel = qt.QLabel(self) self.stripIterLabel.setText(str("Strip Background Iterations")) self.stripIterValue = qt.QLineEdit(self) validator = qt.QIntValidator(self.stripIterValue) self.stripIterValue._v = validator self.stripIterValue.editingFinished[()].connect(self._emitSignal) #Strip smoothing self.stripFilterLabel = qt.QLabel(self) self.stripFilterLabel.setText(str("Strip Background Smoothing Width (Savitsky-Golay)")) self.stripFilterSpin = qt.QSpinBox(self) self.stripFilterSpin.setMinimum(1) self.stripFilterSpin.setMaximum(40) self.stripFilterSpin.setSingleStep(2) self.stripFilterSpin.valueChanged[int].connect(self._emitSignal) #anchors self.anchorsContainer = qt.QWidget(self) anchorsContainerLayout = qt.QHBoxLayout(self.anchorsContainer) anchorsContainerLayout.setContentsMargins(0, 0, 0, 0) anchorsContainerLayout.setSpacing(2) self.stripAnchorsFlagCheck = qt.QCheckBox(self.anchorsContainer) self.stripAnchorsFlagCheck.setText(str("Strip Background use Anchors")) self.stripAnchorsFlagCheck.stateChanged[int].connect( \ self._emitSignal) anchorsContainerLayout.addWidget(self.stripAnchorsFlagCheck) #self.iterSpin = qt.QSpinBox(self) #self.iterSpin.setMinimum(1) maxnchannel = 16384*4 self.stripAnchorsList = [] for i in range(4): anchorSpin = qt.QSpinBox(self.anchorsContainer) anchorSpin.setMinimum(0) anchorSpin.setMaximum(maxnchannel) anchorSpin.valueChanged[int].connect(self._emitSignal) anchorsContainerLayout.addWidget(anchorSpin) self.stripAnchorsList.append(anchorSpin) self.mainLayout.setColumnStretch(0, 1) row = 0 self.mainLayout.addWidget(self.stripComboLabel, row, 0) self.mainLayout.addWidget(self.stripCombo, row, 4) row += 1 self.mainLayout.addWidget(self.snipWidthLabel,row, 0) self.mainLayout.addWidget(self.snipWidthSpin, row, 4) row += 1 self.mainLayout.addWidget(self.stripWidthLabel, row, 0) self.mainLayout.addWidget(self.stripWidthSpin, row, 4) row += 1 self.mainLayout.addWidget(self.stripIterLabel, row, 0) self.mainLayout.addWidget(self.stripIterValue, row, 4) row += 1 self.mainLayout.addWidget(self.stripFilterLabel, row, 0) self.mainLayout.addWidget(self.stripFilterSpin, row, 4) row += 1 self.mainLayout.addWidget(self.anchorsContainer, row, 0, 1, 5) self._stripComboActivated(0) def _stripComboActivated(self, iValue): if iValue == 1: self.setSNIP(True) else: self.setSNIP(False) def setSNIP(self, bValue): if bValue: self.snipWidthSpin.setEnabled(True) self.stripWidthSpin.setEnabled(False) #self.stripFilterSpin.setEnabled(False) self.stripIterValue.setEnabled(False) self.stripCombo.setCurrentIndex(1) else: self.snipWidthSpin.setEnabled(False) #self.stripFilterSpin.setEnabled(True) self.stripWidthSpin.setEnabled(True) self.stripIterValue.setEnabled(True) self.stripCombo.setCurrentIndex(0) def setParameters(self, ddict): if 'fit' in ddict: pars = ddict['fit'] else: pars = ddict key = "stripalgorithm" if key in pars: stripAlgorithm = int(pars[key]) self.setSNIP(stripAlgorithm) key = "snipwidth" if key in pars: self.snipWidthSpin.setValue(int(pars[key])) key = "stripwidth" if key in pars: self.stripWidthSpin.setValue(int(pars[key])) key = "stripiterations" if key in pars: self.stripIterValue.setText("%d" % int(pars[key])) key = "stripfilterwidth" if key in pars: self.stripFilterSpin.setValue(int(pars[key])) key = "stripanchorsflag" if key in pars: self.stripAnchorsFlagCheck.setChecked(int(pars[key])) key = "stripanchorslist" if key in pars: anchorslist = pars[key] if anchorslist in [None, 'None']: anchorslist = [] for spin in self.stripAnchorsList: spin.setValue(0) i = 0 for value in anchorslist: self.stripAnchorsList[i].setValue(int(value)) i += 1 def getParameters(self): pars = {} pars["stripalgorithm"] = int(self.stripCombo.currentIndex()) pars["stripconstant"]= 1.0 pars["snipwidth"] = self.snipWidthSpin.value() txt = str(self.stripIterValue.text()) if len(txt): pars["stripiterations"]= int(txt) else: pars["stripiterations"] = 0 pars["stripwidth"]= self.stripWidthSpin.value() pars["stripfilterwidth"] = self.stripFilterSpin.value() pars["stripanchorsflag"] = int(self.stripAnchorsFlagCheck.isChecked()) pars["stripanchorslist"] = [] for spin in self.stripAnchorsList: pars["stripanchorslist"].append(spin.value()) return pars def _emitSignal(self, dummy=None): ddict= {} ddict['event']='ParametersChanged' ddict['parameters'] = self.getParameters() self.sigStripParametersWidgetSignal.emit(ddict) class StripBackgroundWidget(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.setWindowTitle("Strip and SNIP Configuration Window") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.parametersWidget = StripParametersWidget(self) self.graphWidget = PlotWindow.PlotWindow(self, newplot=False, plugins=False, fit=False) self.mainLayout.addWidget(self.parametersWidget) self.mainLayout.addWidget(self.graphWidget) self.getParameters = self.parametersWidget.getParameters self.setParameters = self.parametersWidget.setParameters self._x = None self._y = None self.parametersWidget.sigStripParametersWidgetSignal.connect( \ self._slot) def setData(self, x, y): self._x = x self._y = y self.update() def _slot(self, ddict): self.update() def update(self): if self._y is None: return pars = self.getParameters() #smoothed data y = numpy.ravel(numpy.array(self._y)).astype(numpy.float) ysmooth = SpecfitFuns.SavitskyGolay(y, pars['stripfilterwidth']) f=[0.25,0.5,0.25] ysmooth[1:-1] = numpy.convolve(ysmooth,f,mode=0) ysmooth[0] = 0.5 *(ysmooth[0] + ysmooth[1]) ysmooth[-1] = 0.5 * (ysmooth[-1] + ysmooth[-2]) #loop for anchors x = self._x niter = pars['stripiterations'] anchorslist = [] if pars['stripanchorsflag']: if pars['stripanchorslist'] is not None: ravelled = x for channel in pars['stripanchorslist']: if channel <= ravelled[0]:continue index = numpy.nonzero(ravelled >= channel)[0] if len(index): index = min(index) if index > 0: anchorslist.append(index) if niter > 1000: stripBackground = SpecfitFuns.subac(ysmooth, pars['stripconstant'], niter, pars['stripwidth'], anchorslist) #final smoothing stripBackground = SpecfitFuns.subac(stripBackground, pars['stripconstant'], 500,1, anchorslist) elif niter > 0: stripBackground = SpecfitFuns.subac(ysmooth, pars['stripconstant'], niter, pars['stripwidth'], anchorslist) else: stripBackground = 0.0 * ysmooth + ysmooth.min() if len(anchorslist) == 0: anchorslist = [0, len(ysmooth)-1] anchorslist.sort() snipBackground = 0.0 * ysmooth lastAnchor = 0 width = pars['snipwidth'] for anchor in anchorslist: if (anchor > lastAnchor) and (anchor < len(ysmooth)): snipBackground[lastAnchor:anchor] =\ SpecfitFuns.snip1d(ysmooth[lastAnchor:anchor], width, 0) lastAnchor = anchor if lastAnchor < len(ysmooth): snipBackground[lastAnchor:] =\ SpecfitFuns.snip1d(ysmooth[lastAnchor:], width, 0) self.graphWidget.addCurve(x, y, \ legend='Input Data',\ replace=True, replot=False) self.graphWidget.addCurve(x, stripBackground,\ legend='Strip Background',\ replot=False) self.graphWidget.addCurve(x, snipBackground,\ legend='SNIP Background', replot=True) class StripBackgroundDialog(qt.QDialog): def __init__(self, parent=None): qt.QDialog.__init__(self, parent) self.setWindowTitle("Strip and SNIP Configuration Window") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) self.parametersWidget = StripBackgroundWidget(self) self.setData = self.parametersWidget.setData self.getParameters = self.parametersWidget.getParameters self.setParameters = self.parametersWidget.setParameters self.mainLayout.addWidget(self.parametersWidget) hbox = qt.QWidget(self) hboxLayout = qt.QHBoxLayout(hbox) hboxLayout.setContentsMargins(0, 0, 0, 0) hboxLayout.setSpacing(2) self.okButton = qt.QPushButton(hbox) self.okButton.setText("OK") self.okButton.setAutoDefault(False) self.dismissButton = qt.QPushButton(hbox) self.dismissButton.setText("Cancel") self.dismissButton.setAutoDefault(False) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) hboxLayout.addWidget(self.okButton) hboxLayout.addWidget(self.dismissButton) self.mainLayout.addWidget(hbox) self.dismissButton.clicked.connect(self.reject) self.okButton.clicked.connect(self.accept) def sizeHint(self): return qt.QSize(int(1.5*qt.QDialog.sizeHint(self).width()), qt.QDialog.sizeHint(self).height()) if __name__ == "__main__": a = qt.QApplication(sys.argv) a.lastWindowClosed.connect(a.quit) w = StripBackgroundDialog() def mySlot(ddict): print(ddict) w.parametersWidget.parametersWidget.\ sigStripParametersWidgetSignal.connect(mySlot) x = numpy.arange(1000.).astype(numpy.float32) y = 100 + x + 100 * numpy.exp(-0.5*(x-500) * (x-500)/ 30.) w.setData(x, y) w.exec_() #a.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/math/SNIPWindow.py0000644000276300001750000004455413136054446020765 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from PyMca5.PyMcaGui import MaskImageWidget from PyMca5.PyMcaGui import ScanWindow from PyMca5.PyMcaMath import SNIPModule OBJECT3D = False try: from PyMca5.Object3D import Object3DScene OBJECT3D = True except: try: # Frozen version handling from Object3D import Object3DScene OBJECT3D = True except: OBJECT3D = False class SNIP1DParametersWidget(qt.QWidget): sigSNIPParametersSignal = qt.pyqtSignal(object) def __init__(self, parent = None, length=2000, smooth=False): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) i = 0 self.parametersDict = {'roi_min':0, 'roi_max':length, 'width':min(30, length/10), 'smoothing':1} textLabels = ["SNIP background width (2 to 3 times fwhm) :", "Minimum channel considered:", "Maximum channel considered:", "Preliminar smoothing level:"] if smooth: textLabels[0] = "SNIP width :" self.parametersDict['width'] = 3 for text in textLabels: label = qt.QLabel(self) label.setText(text) self.mainLayout.addWidget(label, i, 0) #self.mainLayout.addWidget(qt.HorizontalSpacer(self), i, 1) i +=1 i = 0 self.widgetDict = {} for key in ['width', 'roi_min', 'roi_max', 'smoothing']: self.widgetDict[key] = qt.QSpinBox(self) self.widgetDict[key].setMinimum(0) self.widgetDict[key].setMaximum(self.parametersDict['roi_max']) self.widgetDict[key].setValue(self.parametersDict[key]) self.widgetDict[key].valueChanged[int].connect(self._updateParameters) self.mainLayout.addWidget(self.widgetDict[key], i, 1) i += 1 self.widgetDict['smoothing'].setMaximum(100) def _updateParameters(self, val): for key in ['width', 'roi_min', 'roi_max', 'smoothing']: self.parametersDict[key] = self.widgetDict[key].value() ddict = {} ddict['event']='SNIPParametersChanged' ddict.update(self.parametersDict) self.sigSNIPParametersSignal.emit(ddict) def getParameters(self): return self.parametersDict def setParameters(self, ddict=None): if ddict is None: return actualKeys = self.widgetDict.keys() for key in ddict.keys(): if key in actualKeys: w = self.widgetDict[key] #w.setMaximum(max(ddict[key], w.value())) #w.setMinimum(min(ddict[key], w.value())) w.setValue(ddict[key]) self._updateParameters("dummy") class SNIP2DParametersWidget(qt.QWidget): sigSNIPParametersSignal = qt.pyqtSignal(object) def __init__(self, parent = None, shape=(4000,4000)): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) i = 0 self.parametersDict = {'roi_min':[0,0], 'roi_max':[shape[0], shape[1]], 'width':min(30, int(min(shape)/10)), 'smoothing':1} for text in ["SNIP background width (2 to 3 times fwhm) :", "Minimum ROI channels considered:", "Maximum ROI channels considered:", "Pleliminar smoothing level:"]: label = qt.QLabel(self) label.setText(text) self.mainLayout.addWidget(label, i, 0) #self.mainLayout.addWidget(qt.HorizontalSpacer(self), i, 1) i +=1 i = 0 self.widgetDict = {} for key in ['width', 'roi_min', 'roi_max', 'smoothing']: if key in ['width', 'smoothing']: spinBox = qt.QSpinBox(self) spinBox.setMinimum(0) spinBox.setMaximum(min(self.parametersDict['roi_max'])) spinBox.setValue(self.parametersDict[key]) spinBox.valueChanged[int].connect(self._updateParameters) self.mainLayout.addWidget(spinBox, i, 2) self.widgetDict[key] = spinBox elif 1: lineEdit = qt.QLineEdit(self) validator = qt.QIntValidator(lineEdit) lineEdit.setValidator(validator) lineEdit._validator = validator lineEdit.setText("%d" % self.parametersDict[key][0]) lineEdit.editingFinished[()].connect( \ self._updateParameters) self.mainLayout.addWidget(lineEdit, i, 1) self.widgetDict[key] = [lineEdit] lineEdit = qt.QLineEdit(self) validator = qt.QIntValidator(lineEdit) lineEdit.setValidator(validator) lineEdit._validator = validator lineEdit.setText("%d" % self.parametersDict[key][1]) lineEdit.editingFinished.connect(self._updateParameters) self.mainLayout.addWidget(lineEdit, i, 2) self.widgetDict[key].append(lineEdit) else: spinBox = qt.QSpinBox(self) spinBox.setMinimum(0) spinBox.setMaximum(self.parametersDict['roi_max'][0]) spinBox.setValue(self.parametersDict[key][0]) spinBox.valueChanged[int].connect(self._updateParameters) self.mainLayout.addWidget(spinBox, i, 1) self.widgetDict[key] = [spinBox] spinBox = qt.QSpinBox(self) spinBox.setMinimum(0) spinBox.setMaximum(self.parametersDict['roi_max'][1]) spinBox.setValue(self.parametersDict[key][1]) spinBox.valueChanged[int].connect(self._updateParameters) self.mainLayout.addWidget(spinBox, i, 2) self.widgetDict[key].append(spinBox) i += 1 self.widgetDict['smoothing'].setMaximum(100) def _updateParameters(self, val=None): for key in ['width', 'smoothing']: self.parametersDict[key] = self.widgetDict[key].value() for key in ['roi_min', 'roi_max']: self.parametersDict[key] = [int(self.widgetDict[key][0].text()), int(self.widgetDict[key][1].text())] ddict = {} ddict['event']='SNIPParametersChanged' ddict.update(self.parametersDict) self.sigSNIPParametersSignal.emit(ddict) def getParameters(self): return self.parametersDict def setParameters(self): raise NotImplemented("Set parameters not implemented for SNIP 2D") class SNIPWindow(qt.QWidget): def __init__(self, parent, data, image=None, x=None, smooth=False): qt.QWidget.__init__(self, parent) self.setWindowTitle("SNIP Configuration Window") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) if image is None: image = False if data.shape == 2: if 1 not in data.shape: image = True else: spectrum = data.ravel() else: spectrum = data elif not image: spectrum = data self.__smooth = smooth self.__image = image if self.__image: self.spectrum = None else: if x is None: self.xValues = range(len(spectrum)) else: self.xValues = x if self.__image: self.image = data self.graphWidget = MaskImageWidget.MaskImageWidget(self, colormap=True, selection=False, imageicons=False, standalonesave=True) self.parametersWidget = SNIP2DParametersWidget(self, shape=self.image.shape) self.graph = self.graphWidget.graphWidget.graph self.graphWidget.setImageData(data) self.mainLayout.addWidget(self.parametersWidget) self.mainLayout.addWidget(self.graphWidget) self.o3dScene = None else: self.image = None self.spectrum = spectrum self.parametersWidget = SNIP1DParametersWidget(self, length=len(spectrum), smooth=smooth) self.graph = ScanWindow.ScanWindow(self) self.graph.newCurve(self.xValues, spectrum, "Spectrum", replace=True) self.mainLayout.addWidget(self.parametersWidget) self.mainLayout.addWidget(self.graph) self.xMarkers = [] self.yMarkers = [] self.getParameters = self.parametersWidget.getParameters self.setParameters = self.parametersWidget.setParameters self.parametersWidget.sigSNIPParametersSignal.connect( \ self.updateGraph) self.updateGraph(self.getParameters()) def updateGraph(self, ddict): width = ddict['width'] roi_min = ddict['roi_min'] roi_max = ddict['roi_max'] smoothing = ddict['smoothing'] if self.__image: if self.xMarkers == []: xMin, xMax = self.graph.getGraphXLimits() yMin, yMax = self.graph.getGraphYLimits() xMean = 0.5 * (xMin + xMax) yMean = 0.5 * (yMin + yMax) self.xMarkers.append(self.graph.insertXMarker(roi_min[1], legend='C Min', text='C Min')) self.xMarkers.append(self.graph.insertXMarker(roi_max[1], legend='C Max', text='C Max')) self.yMarkers.append(self.graph.insertYMarker(roi_min[0], legend='R Min', text='R Min')) self.yMarkers.append(self.graph.insertYMarker(roi_max[0], legend='R Max', text='R Max')) else: self.graph.insertXMarker(roi_min[1], legend='C Min', text='C Min') self.graph.insertXMarker(roi_max[1], legend='C Max', text='C Max') self.graph.insertYMarker(roi_min[0], legend='R Min', text='R Min') self.graph.insertYMarker(roi_max[0], legend='R Max', text='R Max') self.background = SNIPModule.getImageBackground(self.image, width, roi_min=roi_min, roi_max=roi_max, smoothing=smoothing) difference = self.image-self.background self.graphWidget.setImageData(difference) if OBJECT3D: if self.o3dScene is None: self.o3dScene = Object3DScene.Object3DScene() self.o3dScene.show() if 0: imageData =(self.image * 1).astype(numpy.float32) backgroundData = (self.background * 1).astype(numpy.float32) self.o3dScene.mesh(imageData, z=imageData * 1, legend='Data', update_scene=True) self.o3dScene.mesh(backgroundData, z=backgroundData , legend='Background', update_scene=True) else: self.o3dScene.mesh(difference, z=difference, legend='Data-Background') self.o3dScene.show() else: self.background = SNIPModule.getSpectrumBackground(self.spectrum, width, roi_min=roi_min, roi_max=roi_max, smoothing=smoothing) if self.__smooth: legend0 = "Smoothed Spectrum" else: legend0 = "Background" self.graph.addCurve(self.xValues, self.background, legend0, replace=False) #Force information update legend = self.graph.getActiveCurve(just_legend=True) if legend.startswith(legend0[0:5]): self.graph.setActiveCurve(legend) class SNIPDialog(qt.QDialog): def __init__(self, parent, data, x=None, smooth=False): qt.QDialog.__init__(self, parent) self.setWindowTitle("SNIP Configuration Dialog") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(10, 10, 10, 10) self.mainLayout.setSpacing(2) self.__image = False self.__smooth = smooth if len(data.shape) == 2: if 1 not in data.shape: image = data self.__image = True else: spectrum = data.ravel() else: spectrum = data if self.__image: self.parametersWidget = SNIPWindow(self, image, image=True, x=x) else: self.parametersWidget = SNIPWindow(self, spectrum, image=False, x=x, smooth=smooth) self.graph = self.parametersWidget.graph self.mainLayout.addWidget(self.parametersWidget) hbox = qt.QWidget(self) hboxLayout = qt.QHBoxLayout(hbox) hboxLayout.setContentsMargins(0, 0, 0, 0) hboxLayout.setSpacing(0) self.okButton = qt.QPushButton(hbox) self.okButton.setText("OK") self.okButton.setAutoDefault(False) self.dismissButton = qt.QPushButton(hbox) self.dismissButton.setText("Cancel") self.dismissButton.setAutoDefault(False) hboxLayout.addWidget(self.okButton) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) hboxLayout.addWidget(self.dismissButton) self.mainLayout.addWidget(hbox) self.dismissButton.clicked.connect(self.reject) self.okButton.clicked.connect(self.accept) def getParameters(self): parametersDict = self.parametersWidget.getParameters() if self.__image: parametersDict['function'] = SNIPModule.subtractSnip2DBackgroundFromStack elif self.__smooth: parametersDict['function'] = SNIPModule.replaceStackWithSnip1DBackground else: parametersDict['function'] = SNIPModule.subtractSnip1DBackgroundFromStack parametersDict['arguments'] = [parametersDict['width'], parametersDict['roi_min'], parametersDict['roi_max'], parametersDict['smoothing']] return parametersDict def setParameters(self, ddict0): if 'arguments' in ddict0: ddict = {} ddict['width'] = ddict0['arguments'][0] ddict['roi_min'] = ddict0['arguments'][1] ddict['roi_max'] = ddict0['arguments'][2] ddict['smoothing'] = ddict0['arguments'][3] self.parametersWidget.setParameters(ddict) else: self.parametersWidget.setParameters(ddict0) if __name__ == "__main__": import numpy app = qt.QApplication([]) if 0: noise = numpy.random.randn(1000.) y=numpy.arange(1000.) w = SNIPDialog(None, y+numpy.sqrt(y)* noise) elif len(sys.argv) > 1: from PyMca5.PyMcaIO import EdfFile edf = EdfFile.EdfFile(sys.argv[1]) data = edf.GetData(0) w = SNIPDialog(None, data) else: x, y = numpy.ogrid[0:200:200j, 0:200:200j] data = 50 * numpy.exp(-(x-64)*(x-64)/20.) +\ 50 * numpy.exp(-(y-128)*(y-128)/20.) +\ 100 * numpy.exp(-(1./20) * ((x-64)*(x-64) + (y-128)*(y-128))) w = SNIPDialog(None, data) w.show() ret=w.exec_() if ret: print(w.getParameters()) PyMca5-5.2.2/PyMca5/PyMcaGui/math/SIFTAlignmentWindow.py0000644000276300001750000003206613136054446022613 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import sys import numpy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import ExternalImagesWindow from PyMca5.PyMcaGui import PyMcaFileDialogs from PyMca5.PyMcaMath import sift DEBUG = 0 if DEBUG: print("SIFT coming from %s" % os.path.abspath(sift.__file__)) __doc__ ="""The SIFT algorithm belongs to the University of British Columbia. It is protected by patent US6711293. If you are on a country where this pattent applies (like the USA), please check if you are allowed to use it. The University of British Columbia does not require a license for its use for non-commercial research applications. This SIFT implementation uses the code developed by Jerome Kieffer and Pierre Paleo. The project is hosted at: https://github.com/kif/sift_pyocl This algorithm should provide better results than FFT based algorithms provided the images to be aligned provide enough registration points (or common "features"). You can restrict the region of the images to be used by drawing a mask. If you do not find any device listed under OpenCL devices that could mean you do not have any OpenCL driver installed in your system. Windows users can at least install the CPU OpenCL drivers from AMD. You can easily find them searching the internet for AMD Accelerated Parallel Processing SDK. Mac users should have OpenCL provided with their operating system. Linux users probably need to install PyMca as provided by their distribution. Please note that introduces an additional dependency of PyMca on PyOpenCL. sift_pyocl license follows: Copyright(C) 2013 European Synchrotron Radiation Facility, Grenoble, France Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ class ParametersWidget(qt.QWidget): parametersWidgetSignal = qt.pyqtSignal(object) def __init__(self, parent=None, ndim=2): qt.QWidget.__init__(self, parent) self._nDimensions = 2 self._shape = 3000, 3000 self._settingShape = False self._build() devices = self.getOpenCLDevices() if len(devices): self.deviceSelector.clear() for device in devices: self.deviceSelector.addItem("(%d, %d) %s" % (device[0], device[1], device[2])) def _build(self): self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) #self.aboutSiftButton = qt.QPushButton(self) #self.aboutSiftButton.setText("Please read prior to use!") #self.aboutSiftButton.clicked.connect(self._showInfo) # info self._infoDocument = qt.QTextEdit() self._infoDocument.setReadOnly(True) self._infoDocument.setMaximumHeight(150) self._infoDocument.setText(__doc__) #self._infoDocument.hide() label = qt.QLabel(self) label.setText("OpenCL Device:") self.deviceSelector = qt.QComboBox(self) self.deviceSelector.addItem("(-1, -1) No OpenCL device found") #self.mainLayout.addWidget(self.aboutSiftButton, 0, 0, 1, 2) self.mainLayout.addWidget(self._infoDocument, 0, 0, 2, 2) self.mainLayout.addWidget(label, 2, 0) self.mainLayout.addWidget(self.deviceSelector, 2, 1) def emitParametersWidgetSignal(self, event="ParametersChanged"): ddict = self.getParameters() ddict['event'] = "ParametersChanged" self.parametersWidgetSignal.emit(ddict) def _showInfo(self): if self._infoDocument.isHidden(): self._infoDocument.show() else: self._infoDocument.hide() def getOpenCLDevices(self): devices = [] if sift.opencl.ocl is not None: for platformid, platform in enumerate(sift.opencl.ocl.platforms): for deviceid, dev in enumerate(platform.devices): devices.append((platformid, deviceid, dev.name)) return devices def getParameters(self): txt = str(self.deviceSelector.currentText()).split(")")[0] txt = txt[1:].split(",") device = (int(txt[0]), int(txt[1])) return {'opencl_device':device} class OutputFile(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QHBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.checkBox = qt.QCheckBox(self) self.checkBox.setText("Use") self.fileName = qt.QLineEdit(self) self.fileName.setText("") self.fileName.setReadOnly(True) self.browse = qt.QPushButton(self) self.browse.setAutoDefault(False) self.browse.setText("Browse") self.browse.clicked.connect(self.browseFile) self.mainLayout.addWidget(self.checkBox) self.mainLayout.addWidget(self.fileName) self.mainLayout.addWidget(self.browse) def browseFile(self): filelist = PyMcaFileDialogs.getFileList(self, filetypelist=['HDF5 files (*.h5)'], message="Please enter output file", mode="SAVE", single=True) if len(filelist): name = filelist[0] if not name.endswith('.h5'): name = name + ".h5" self.fileName.setText(name) def getParameters(self): ddict = {} ddict['file_use'] = self.checkBox.isChecked() ddict['file_name'] = qt.safe_str(self.fileName.text()) return ddict def setForcedFileOutput(self, flag=True): if flag: self.checkBox.setChecked(True) self.checkBox.setEnabled(False) else: self.checkBox.setChecked(False) self.checkBox.setEnabled(True) class SIFTAlignmentWindow(qt.QWidget): def __init__(self, parent=None, stack=None): qt.QWidget.__init__(self, parent) self.setWindowTitle("SIFT Alignment") self._build() def _build(self): self.mainLayout = qt.QVBoxLayout(self) self.parametersWidget = ParametersWidget(self) self.outputFileWidget = OutputFile(self) self.imageBrowser = ExternalImagesWindow.ExternalImagesWindow(self, crop=False, selection=True, imageicons=True) self.mainLayout.addWidget(self.parametersWidget) self.mainLayout.addWidget(self.outputFileWidget) self.mainLayout.addWidget(self.imageBrowser) self.parametersWidget.parametersWidgetSignal.connect(self.mySlot) def setStack(self, stack, index=None): if index is None: if hasattr(stack, "info"): index = stack.info.get('McaIndex') else: index = 0 if hasattr(stack, "info") and hasattr(stack, "data"): data = stack.data else: data = stack if isinstance(data, numpy.ndarray): self.outputFileWidget.setForcedFileOutput(False) else: self.outputFileWidget.setForcedFileOutput(True) self.imageBrowser.setStack(data, index=index) #shape = self.imageBrowser.getImageData().shape #self.parametersWidget.setShape(shape) #ddict = self.parametersWidget.getParameters() #self.mySlot(ddict) def getParameters(self): parameters = self.parametersWidget.getParameters() parameters['reference_image'] = self.imageBrowser.getImageData() parameters.update(self.outputFileWidget.getParameters()) parameters['reference_index'] = self.imageBrowser.getCurrentIndex() parameters['mask'] = self.imageBrowser.getSelectionMask() return parameters def mySlot(self, ddict): mask = self.imageBrowser.getSelectionMask() i0start = ddict['Dim 0']['offset'] i0end = i0start + ddict['Dim 0']['width'] i1start = ddict['Dim 1']['offset'] i1end = i1start + ddict['Dim 1']['width'] mask[:,:] = 0 mask[i0start:i0end, i1start:i1end] = 1 self.imageBrowser.setSelectionMask(mask) class SIFTAlignmentDialog(qt.QDialog): def __init__(self, parent=None): qt.QDialog.__init__(self, parent) self.setWindowTitle("SIFT Alignment Dialog") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.parametersWidget = SIFTAlignmentWindow(self) self.mainLayout.addWidget(self.parametersWidget) hbox = qt.QWidget(self) hboxLayout = qt.QHBoxLayout(hbox) hboxLayout.setContentsMargins(0, 0, 0, 0) hboxLayout.setSpacing(0) self.okButton = qt.QPushButton(hbox) self.okButton.setText("OK") self.okButton.setAutoDefault(False) self.dismissButton = qt.QPushButton(hbox) self.dismissButton.setText("Cancel") self.dismissButton.setAutoDefault(False) hboxLayout.addWidget(self.okButton) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) hboxLayout.addWidget(self.dismissButton) self.mainLayout.addWidget(hbox) self.dismissButton.clicked.connect(self.reject) self.okButton.clicked.connect(self.accept) self.setStack = self.parametersWidget.setStack self.setSelectionMask = self.parametersWidget.imageBrowser.setSelectionMask self.setDummyStack() def setDummyStack(self): dummyStack = numpy.arange(2 * 128 *256) dummyStack.shape = 2, 128, 256 self.setStack(dummyStack, index=0) def getParameters(self): return self.parametersWidget.getParameters() def accept(self): parameters = self.getParameters() if parameters['file_use']: if not len(parameters['file_name']): qt.QMessageBox.information(self, "Missing valid file name", "Please provide a valid output file name") return return qt.QDialog.accept(self) def reject(self): self.setDummyStack() return qt.QDialog.reject(self) def closeEvent(self, ev): self.setDummyStack() return qt.QDialog.closeEvent(self, ev) if __name__ == "__main__": #create a dummy stack nrows = 100 ncols = 200 nchannels = 1024 a = numpy.ones((nrows, ncols), numpy.float) stackData = numpy.zeros((nrows, ncols, nchannels), numpy.float) for i in range(nchannels): stackData[:, :, i] = a * i app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) w = SIFTAlignmentDialog() w.setStack(stackData, index=0) ret = w.exec_() if ret: print(w.getParameters()) PyMca5-5.2.2/PyMca5/PyMcaGui/math/SGWindow.py0000644000276300001750000002020113136054446020504 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from PyMca5.PyMcaGui import MaskImageWidget from PyMca5.PyMcaGui import ScanWindow from PyMca5.PyMcaMath import SGModule class SGParametersWidget(qt.QWidget): sigSGParametersSignal = qt.pyqtSignal(object) def __init__(self, parent = None, length=2000): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) i = 0 self._keyList = ['points', 'degree', 'order'] self.parametersDict = {'points':3, 'degree':1, 'order':0} for text in ["Savitzky-Golay filter width:", "Interpolating polynomial degree:", "Derivative order (0=smoothing):"]: label = qt.QLabel(self) label.setText(text) self.mainLayout.addWidget(label, i, 0) #self.mainLayout.addWidget(qt.HorizontalSpacer(self), i, 1) i +=1 i = 0 self.widgetDict = {} for key in self._keyList: self.widgetDict[key] = qt.QSpinBox(self) self.widgetDict[key].setMinimum(1) self.widgetDict[key].setMaximum(100) self.widgetDict[key].setValue(self.parametersDict[key]) self.widgetDict[key].valueChanged[int].connect( \ self._updateParameters) self.mainLayout.addWidget(self.widgetDict[key], i, 1) i += 1 self.widgetDict['order'].setMinimum(0) self.widgetDict['order'].setValue(0) self.widgetDict['order'].setMaximum(4) def setParameters(self, ddict): for key in ddict: if key in self._keyList: self.widgetDict[key].setValue(ddict[key]) dummy = 0 self._updateParameters(dummy) def _updateParameters(self, val): for key in self._keyList: self.parametersDict[key] = self.widgetDict[key].value() self.widgetDict['order'].setMaximum(self.parametersDict['degree']) if self.parametersDict['order'] > self.parametersDict['degree']: self.parametersDict['order']=self.parametersDict['degree'] self.widgetDict['order'].setValue(self.parametersDict['order']) ddict = {} ddict['event']='SGParametersChanged' ddict.update(self.parametersDict) self.sigSGParametersSignal.emit(ddict) def getParameters(self): return self.parametersDict class SGWindow(qt.QWidget): def __init__(self, parent, data, image=None, x=None): qt.QWidget.__init__(self, parent) self.setWindowTitle("Savitzky-Golay Filter Configuration Window") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) spectrum = data if x is None: self.xValues = range(len(spectrum)) else: self.xValues = x self.image = None self.spectrum = spectrum self.parametersWidget = SGParametersWidget(self, length=len(spectrum)) self.graph = ScanWindow.ScanWindow(self) self.graph.newCurve(self.xValues, spectrum, "Spectrum", replace=True) self.mainLayout.addWidget(self.parametersWidget) self.mainLayout.addWidget(self.graph) self.getParameters = self.parametersWidget.getParameters self.setParameters = self.parametersWidget.setParameters self.parametersWidget.sigSGParametersSignal.connect(self.updateGraph) self.updateGraph(self.getParameters()) def updateGraph(self, ddict): points = ddict['points'] degree = ddict['degree'] order = ddict['order'] self.background = SGModule.getSavitzkyGolay(self.spectrum, points, degree=degree, order=order) if order > 0: maptoy2 = True else: maptoy2 = False self.graph.newCurve(self.xValues, self.background, "Filtered Spectrum", replace=False, maptoy2=maptoy2) #Force information update legend = self.graph.getActiveCurve(just_legend=True) if legend.startswith('Filtered'): self.graph.setActiveCurve(legend) class SGDialog(qt.QDialog): def __init__(self, parent, data, x=None): qt.QDialog.__init__(self, parent) self.setWindowTitle("Savitzky-Golay Configuration Dialog") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(10, 10, 10, 10) self.mainLayout.setSpacing(2) self.__image = False if len(data.shape) == 2: spectrum = data.ravel() else: spectrum = data self.parametersWidget = SGWindow(self, spectrum, image=False, x=x) self.graph = self.parametersWidget.graph self.mainLayout.addWidget(self.parametersWidget) hbox = qt.QWidget(self) hboxLayout = qt.QHBoxLayout(hbox) hboxLayout.setContentsMargins(0, 0, 0, 0) hboxLayout.setSpacing(0) self.okButton = qt.QPushButton(hbox) self.okButton.setText("OK") self.okButton.setAutoDefault(False) self.dismissButton = qt.QPushButton(hbox) self.dismissButton.setText("Cancel") self.dismissButton.setAutoDefault(False) hboxLayout.addWidget(self.okButton) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) hboxLayout.addWidget(self.dismissButton) self.mainLayout.addWidget(hbox) self.dismissButton.clicked.connect(self.reject) self.okButton.clicked.connect(self.accept) def getParameters(self): parametersDict = self.parametersWidget.getParameters() parametersDict['function'] = SGModule.replaceStackWithSavitzkyGolay parametersDict['arguments'] = [parametersDict['points'], parametersDict['degree'], parametersDict['order']] return parametersDict def setParameters(self, ddict): return self.parametersWidget.setParameters(ddict) if __name__ == "__main__": import numpy app = qt.QApplication([]) if 1: noise = numpy.random.randn(1000.) y=numpy.arange(1000.) w = SGDialog(None, y+numpy.sqrt(y)* noise) w.show() ret=w.exec_() if ret: print(w.getParameters()) PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/0000755000276300001750000000000013205526235020077 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/MultiParameters.py0000644000276300001750000003154113136054446023576 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import sys from PyMca5.PyMcaGui import PyMcaQt as qt from . import Parameters QTVERSION = qt.qVersion() from . import McaTable DEBUG = 0 class ParametersTab(qt.QTabWidget): sigMultiParametersSignal = qt.pyqtSignal(object) def __init__(self,parent = None, name = "FitParameters"): qt.QTabWidget.__init__(self, parent) self.setWindowTitle(name) #geometry #self.resize(570,300) #self.setCaption(self.trUtf8(name)) #initialize the numer of tabs to 1 #self.TabWidget=QTabWidget(self,"ParametersTab") #self.TabWidget.setGeometry(QRect(25,25,450,350)) #the widgets in the notebook self.views={} #the names of the widgets (to have them in order) self.tabs=[] #the widgets/tables themselves self.tables={} self.mcatable=None self.setContentsMargins(10, 10, 10, 10) self.setview(name="Region 1") def setview(self,name=None,fitparameterslist=None): if name is None: name = self.current if name in self.tables.keys(): table=self.tables[name] else: #create the parameters instance self.tables[name]=Parameters.Parameters(self) table=self.tables[name] self.tabs.append(name) self.views[name]=table #if qVersion() >= '3.0.0': # self.addTab(table,self.trUtf8(name)) #else: # self.addTab(table,self.tr(name)) self.addTab(table,str(name)) if fitparameterslist is not None: table.fillfromfit(fitparameterslist) #print "SHowing page ",name if QTVERSION < '4.0.0': self.showPage(self.views[name]) else: self.setCurrentWidget(self.views[name]) self.current=name def renameview(self,oldname=None,newname=None): error = 1 if newname is not None: if newname not in self.views.keys(): if oldname in self.views.keys(): parameterlist=self.tables[oldname].fillfitfromtable() self.setview(name=newname,fitparameterslist=parameterlist) self.removeview(oldname) error = 0 return error def fillfromfit(self,fitparameterslist,current=None): if current is None: current=self.current #for view in self.tables.keys(): # self.removeview(view) self.setview(fitparameterslist=fitparameterslist,name=current) def fillfitfromtable(self,*vars,**kw): if len(vars) > 0: name=vars[0] elif 'view' in kw: name=kw['view'] elif 'name' in kw: name=kw['name'] else: name=self.current if hasattr(self.tables[name],'fillfitfromtable'): return self.tables[name].fillfitfromtable() else: return None def removeview(self,*vars,**kw): error = 1 if len(vars) > 0: view=vars[0] elif 'view' in kw: view=kw['view'] elif 'name' in kw: view=kw['name'] else: return error if view == self.current: return error if view in self.views.keys(): self.tabs.remove(view) if QTVERSION < '4.0.0': self.removePage(self.tables[view]) self.removePage(self.views[view]) else: index = self.indexOf(self.tables[view]) self.removeTab(index) index = self.indexOf(self.views[view]) self.removeTab(index) del self.tables[view] del self.views[view] error =0 return error def removeallviews(self,keep='Fit'): for view in list(self.tables.keys()): if view != keep: self.removeview(view) def fillfrommca(self,mcaresult): #for view in self.tables.keys(): # self.removeview(view) self.removeallviews() region = 0 for result in mcaresult: #if result['chisq'] is not None: region=region+1 self.fillfromfit(result['paramlist'],current='Region '+\ "%d" % region) name='MCA' if name in self.tables: table=self.tables[name] else: self.tables[name]=McaTable.McaTable(self) table=self.tables[name] self.tabs.append(name) self.views[name]=table #self.addTab(table,self.trUtf8(name)) self.addTab(table,str(name)) table.sigMcaTableSignal.connect(self.__forward) table.fillfrommca(mcaresult) self.setview(name=name) return def __forward(self,ddict): self.sigMultiParametersSignal.emit(ddict) def gettext(self,**kw): if "name" in kw: name = kw["name"] else: name = self.current table = self.tables[name] lemon = ("#%x%x%x" % (255,250,205)).upper() if QTVERSION < '4.0.0': hb = table.horizontalHeader().paletteBackgroundColor() hcolor = ("#%x%x%x" % (hb.red(), hb.green(), hb.blue())).upper() else: if DEBUG: print("Actual color to ge got") hcolor = ("#%x%x%x" % (230,240,249)).upper() text="" text+=("") text+=( "") text+=( "") if QTVERSION < '4.0.0': ncols = table.numCols() else: ncols = table.columnCount() for l in range(ncols): text+=('") text+=("") if QTVERSION < '4.0.0': nrows = table.numRows() else: nrows = table.rowCount() for r in range(nrows): text+=("") if QTVERSION < '4.0.0': newtext = str(table.text(r,0)) else: item = table.item(r, 0) newtext = "" if item is not None: newtext = str(item.text()) if len(newtext): color = "white" b="" else: b="" color = lemon try: #MyQTable item has color defined cc = table.item(r,0).color cc = ("#%x%x%x" % (cc.red(),cc.green(),cc.blue())).upper() color = cc except: pass for c in range(ncols): if QTVERSION < '4.0.0': newtext = str(table.text(r,c)) else: item = table.item(r, c) newtext = "" if item is not None: newtext = str(item.text()) if len(newtext): finalcolor = color else: finalcolor = "white" if c<2: text+=('") else: text+=("") if QTVERSION < '4.0.0': newtext = str(table.text(r,0)) else: item = table.item(r, 0) newtext = "" if item is not None: newtext = str(item.text()) if len(newtext): text+=("") text+=("") #text+=( str(qt.QString("
")) text+=("\n") text+=("
' % hcolor) if QTVERSION < '4.0.0': text+=(str(table.horizontalHeader().label(l))) else: text+=(str(table.horizontalHeaderItem(l).text())) text+=("
%s' % (finalcolor,b)) else: text+=('%s' % (finalcolor,b)) text+=(newtext) if len(b): text+=("
") text+=("") return text def getHTMLText(self, **kw): return self.gettext(**kw) if QTVERSION > '4.0.0': def getText(self, **kw): if "name" in kw: name = kw["name"] else: name = self.current table = self.tables[name] text="" if QTVERSION < '4.0.0': ncols = table.numCols() else: ncols = table.columnCount() for l in range(ncols): if QTVERSION < '4.0.0': text+=(str(table.horizontalHeader().label(l))) else: text+=(str(table.horizontalHeaderItem(l).text()))+"\t" text+=("\n") if QTVERSION < '4.0.0': nrows = table.numRows() else: nrows = table.rowCount() for r in range(nrows): if QTVERSION < '4.0.0': newtext = str(table.text(r,0)) else: item = table.item(r, 0) newtext = "" if item is not None: newtext = str(item.text())+"\t" for c in range(ncols): if QTVERSION < '4.0.0': newtext = str(table.text(r,c)) else: newtext = "" if c != 4: item = table.item(r, c) if item is not None: newtext = str(item.text()) else: item = table.cellWidget(r, c) if item is not None: newtext = str(item.currentText()) text+=(newtext)+"\t" text+=("\n") text+=("\n") return text def test(): a = qt.QApplication(sys.argv) a.lastWindowClosed.connect(a.quit) w = ParametersTab() w.show() from PyMca5.PyMca import specfilewrapper as specfile from PyMca5.PyMca import Specfit from PyMca5 import PyMcaDataDir import numpy sf=specfile.Specfile(os.path.join(PyMcaDataDir.PYMCA_DATA_DIR, "XRFSpectrum.mca")) scan=sf.select('2.1') mcadata=scan.mca(1) y=numpy.array(mcadata) #x=numpy.arange(len(y)) x=numpy.arange(len(y))*0.0502883-0.492773 fit=Specfit.Specfit() fit.setdata(x=x,y=y) fit.importfun(os.path.join(os.path.dirname(Specfit.__file__), "SpecfitFunctions.py")) fit.settheory('Hypermet') fit.configure(Yscaling=1., WeightFlag=1, PosFwhmFlag=1, HeightAreaFlag=1, FwhmPoints=16, PositionFlag=1, HypermetTails=1) fit.setbackground('Linear') if 1: mcaresult=fit.mcafit(x=x,xmin=x[300],xmax=x[1000]) w.fillfrommca(mcaresult) else: fit.estimate() fit.startfit() w.fillfromfit(fit.paramlist,current='Fit') w.removeview(view='Region 1') a.exec_() if __name__ == "__main__": bench=0 if bench: import pstats import profile profile.run('test()',"test") p=pstats.Stats("test") p.strip_dirs().sort_stats(-1).print_stats() else: test() PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/QScriptOption.py0000644000276300001750000003051613136054446023237 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() from . import CheckField from . import EntryField from . import TextField #import RadioField from . import TabSheets TupleType=type(()) def uic_load_pixmap_RadioField(name): pix = qt.QPixmap() m = qt.QMimeSourceFactory.defaultFactory().data(name) if m: qt.QImageDrag.decode(m,pix) return pix class QScriptOption(TabSheets.TabSheets): def __init__(self,parent = None,name=None,modal=1,fl = 0, sheets=(),default=None,nohelp=1,nodefaults=1): TabSheets.TabSheets.__init__(self,parent,name,modal,fl, nohelp,nodefaults) if QTVERSION < '4.0.0': if name is not None:self.setCaption(str(name)) else: if name is not None:self.setWindowTitle(str(name)) self.sheets={} self.sheetslist=[] self.default=default self.output={} self.output.update(self.default) ntabs=self.tabWidget.count() #remove anything not having to do with my sheets for i in range(ntabs): if QTVERSION < '4.0.0': page = self.tabWidget.page(0) self.tabWidget.removePage(page) else: self.tabWidget.setCurrentIndex(0) self.tabWidget.removeTab(self.tabWidget.currentIndex()) for sheet in sheets: name=sheet['notetitle'] a=FieldSheet(fields=sheet['fields']) self.sheets[name]=a a.setdefaults(self.default) self.sheetslist.append(name) self.tabWidget.addTab(self.sheets[name],str(name)) if QTVERSION < '4.2.0': i = self.tabWidget.indexOf(self.sheets[name]) self.tabWidget.setCurrentIndex(i) else: self.tabWidget.setCurrentWidget(self.sheets[name]) #perform the binding to the buttons self.buttonOk.clicked.connect(self.myaccept) self.buttonCancel.clicked.connect(self.myreject) if not nodefaults: self.buttonDefaults.clicked.connect(self.defaults) if not nohelp: self.buttonHelp.clicked.connect(self.myhelp) def myaccept(self): self.output.update(self.default) for name,sheet in self.sheets.items(): self.output.update(sheet.get()) #avoid pathologicval None cases for key in list(self.output.keys()): if self.output[key] is None: if key in self.default: self.output[key]=self.default[key] self.accept() return def myreject(self): self.output={} self.output.update(self.default) self.reject() return def defaults(self): self.output={} self.output.update(self.default) def myhelp(self): print("Default - Sets back to the initial parameters") print("Cancel - Sets back to the initial parameters and quits") print("OK - Updates the parameters and quits") class FieldSheet(qt.QWidget): def __init__(self,parent = None,name=None,fl = 0,fields=()): qt.QWidget.__init__(self,parent) layout= qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) #self.fields = ([,,,]) self.fields=[] self.nbfield= 1 for field in fields: fieldtype=field[0] if len(field) == 3: key = field[1] else: key = None parameters=field[-1] if fieldtype == "TextField": myTextField = MyTextField(self,keys=key,params=parameters) self.fields.append(myTextField) layout.addWidget(myTextField) if fieldtype == "CheckField": myCheckField = MyCheckField(self,keys=key,params=parameters) self.fields.append(myCheckField) layout.addWidget(myCheckField) if fieldtype == "EntryField": myEntryField = MyEntryField(self,keys=key,params=parameters) self.fields.append(myEntryField) layout.addWidget(myEntryField) if fieldtype == "RadioField": radioField = RadioField(self,keys=key,params=parameters) self.fields.append(radioField) layout.addWidget(radioField) def get(self): result={} for field in self.fields: result.update(field.getvalue()) return result def setdefaults(self,dict): for field in self.fields: field.setdefaults(dict) return class MyTextField(TextField.TextField): def __init__(self,parent = None,name = None,fl = 0, keys=(), params = ()): TextField.TextField.__init__(self,parent,name,fl) self.TextLabel.setText(str(params)) def getvalue(self): pass return def setvalue(self): pass return def setdefaults(self,dict): pass return class MyEntryField(EntryField.EntryField): def __init__(self,parent = None,name = None,fl = 0, keys=(), params = ()): EntryField.EntryField.__init__(self,parent,name,fl) self.dict={} if type(keys) == TupleType: for key in keys: self.dict[key]=None else: self.dict[keys]=None self.TextLabel.setText(str(params)) self.Entry.textChanged[str].connect(self.setvalue) def getvalue(self): return self.dict def setvalue(self,value): for key in self.dict.keys(): self.dict[key]=str(value) return def setdefaults(self, ddict): for key in list(self.dict.keys()): if key in ddict: self.dict[key] = ddict[key] self.Entry.setText(str(ddict[key])) return class MyCheckField(CheckField.CheckField): def __init__(self,parent = None,name = None,fl = 0, keys=(), params = ()): CheckField.CheckField.__init__(self,parent,name,fl) self.dict={} if type(keys) == TupleType: for key in keys: self.dict[key]=None else: self.dict[keys]=None self.CheckBox.setText(str(params)) self.CheckBox.stateChanged[int].connect(self.setvalue) def getvalue(self): return self.dict def setvalue(self,value): if value: val=1 else: val=0 for key in self.dict.keys(): self.dict[key]=val return def setdefaults(self, ddict): for key in self.dict.keys(): if key in ddict: if int(ddict[key]): self.CheckBox.setChecked(1) self.dict[key]=1 else: self.CheckBox.setChecked(0) self.dict[key]=0 return class RadioField(qt.QWidget): def __init__(self,parent = None,name = None,fl = 0, keys=(), params = ()): if QTVERSION < '4.0.0': qt.QWidget.__init__(self,parent,name,fl) if name == None: self.setName("RadioField") #self.resize(166,607) self.setSizePolicy(qt.QSizePolicy(1,1,0,0,self.sizePolicy().hasHeightForWidth())) self.setCaption(str("RadioField")) RadioFieldLayout = qt.QHBoxLayout(self,11,6,"RadioFieldLayout") else: qt.QWidget.__init__(self,parent) RadioFieldLayout = qt.QHBoxLayout(self) RadioFieldLayout.setContentsMargins(11, 11, 11, 11) RadioFieldLayout.setSpacing(6) self.RadioFieldBox = qt.QButtonGroup(self) if QTVERSION < '4.0.0': self.RadioFieldBox.setSizePolicy(qt.QSizePolicy(1,1,0,0,self.RadioFieldBox.sizePolicy().hasHeightForWidth())) self.RadioFieldBox.setTitle(str("")) self.RadioFieldBox.setColumnLayout(0,qt.Qt.Vertical) self.RadioFieldBox.layout().setSpacing(6) self.RadioFieldBox.layout().setContentsMargins(11, 11, 11, 11) RadioFieldBoxLayout = qt.QVBoxLayout(self.RadioFieldBox.layout()) RadioFieldBoxLayout.setAlignment(qt.Qt.AlignTop) Layout1 = qt.QVBoxLayout(None,0,6,"Layout1") self.dict={} if type(keys) == TupleType: for key in keys: self.dict[key]=1 else: self.dict[keys]=1 self.RadioButton=[] i=0 for text in params: self.RadioButton.append(qt.QRadioButton(self.RadioFieldBox, "RadioButton"+"%d" % i)) self.RadioButton[-1].setSizePolicy(qt.QSizePolicy(1,1,0,0, self.RadioButton[-1].sizePolicy().hasHeightForWidth())) self.RadioButton[-1].setText(str(text)) Layout1.addWidget(self.RadioButton[-1]) i=i+1 RadioFieldBoxLayout.addLayout(Layout1) RadioFieldLayout.addWidget(self.RadioFieldBox) self.RadioButton[0].setChecked(1) self.RadioFieldBox.clicked[int].connect(self.setvalue) def getvalue(self): return self.dict def setvalue(self,value): if value: val=1 else: val=0 for key in self.dict.keys(): self.dict[key]=val return def setdefaults(self, ddict): for key in list(self.dict.keys()): if key in ddict: self.dict[key]=ddict[key] i=int(ddict[key]) self.RadioButton[i].setChecked(1) return def test(): a = qt.QApplication(sys.argv) app.lastWindowClosed.connect(app.quit) #w = FieldSheet(fields=(["TextField",'Simple Entry'], # ["EntryField",'entry','MyLabel'], # ["CheckField",'label','Check Label'], # ["RadioField",'radio',('Button1','hmmm','3')])) sheet1={'notetitle':"First Sheet", 'fields':(["TextField",'Simple Entry'], ["EntryField",'entry','MyLabel'], ["CheckField",'label','Check Label'])} sheet2={'notetitle':"Second Sheet", 'fields':(["TextField",'Simple Radio Buttons'], ["RadioField",'radio',('Button1','hmmm','3')])} w=QScriptOption(name='QScriptOptions',sheets=(sheet1,sheet2), default={'radio':1,'entry':'type here','label':1}) if QTVERSION < '4.0.0': a.setMainWidget(w) w.show() a.exec_loop() else: w.show() a.exec_() print(w.output) if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/McaTable.py0000644000276300001750000002056213136054446022131 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt if hasattr(qt, "QString"): QString = qt.QString else: QString = str QTVERSION = qt.qVersion() QTable = qt.QTableWidget DEBUG=0 class McaTable(QTable): sigMcaTableSignal = qt.pyqtSignal(object) def __init__(self, *args,**kw): QTable.__init__(self, *args) self.setRowCount(1) self.setColumnCount(1) self.labels=['Parameter','Estimation','Fit Value','Sigma', 'Restrains','Min/Parame','Max/Factor/Delta/'] self.code_options=["FREE","POSITIVE","QUOTED", "FIXED","FACTOR","DELTA","SUM","IGNORE","ADD","SHOW"] i=0 if 'labels' in kw: self.labels=[] for label in kw['labels']: self.labels.append(label) else: self.labels=['Position','Fit Area','MCA Area','Sigma','Fwhm','Chisq', 'Region','XBegin','XEnd'] self.setColumnCount(len(self.labels)) for label in self.labels: item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(self.labels[i], qt.QTableWidgetItem.Type) self.setHorizontalHeaderItem(i,item) item.setText(self.labels[i]) self.resizeColumnToContents(i) i=i+1 self.regionlist=[] self.regiondict={} if DEBUG: print("MCATABLE click on vertical header items?") self.verticalHeader().sectionClicked[int].connect(self.__myslot) self.cellClicked[int, int].connect(self.__myslot) self.itemSelectionChanged[()].connect(self.__myslot) def fillfrommca(self,mcaresult,diag=1): line0=0 region=0 alreadyforced = 0 for result in mcaresult: region=region+1 if result['chisq'] is not None: chisq=QString("%6.2f" % (result['chisq'])) else: chisq=QString("Fit Error") if 1: xbegin=QString("%6g" % (result['xbegin'])) xend=QString("%6g" % (result['xend'])) fitlabel,fitpars, fitsigmas = self.__getfitpar(result) if QTVERSION < '4.0.0': qt.QHeader.setLabel(self.horizontalHeader(),1,"Fit "+fitlabel) else: item = self.horizontalHeaderItem(1) item.setText("Fit "+fitlabel) i = 0 for (pos,area,sigma,fwhm) in result['mca_areas']: line0=line0+1 if QTVERSION < '4.0.0': nlines=self.numRows() if (line0 > nlines): self.setNumRows(line0) else: nlines=self.rowCount() if (line0 > nlines): self.setRowCount(line0) line=line0-1 #pos=QString(str(pos)) #area=QString(str(area)) #sigma=QString(str(sigma)) #fwhm=QString(str(fwhm)) tregion=QString(str(region)) pos=QString("%6g" % (pos)) fitpar = QString("%6g" % (fitpars[i])) if fitlabel == 'Area': sigma = max(sigma,fitsigmas[i]) areastr=QString("%6g" % (area)) sigmastr=QString("%6.3g" % (sigma)) fwhm=QString("%6g" % (fwhm)) tregion=QString("%6g" % (region)) fields=[pos,fitpar,areastr,sigmastr,fwhm,chisq,tregion,xbegin,xend] col=0 recolor = 0 if fitlabel == 'Area': if diag: if abs(fitpars[i]-area) > (3.0 * sigma): color = qt.QColor(255,182,193) recolor = 1 for field in fields: key = self.item(line, col) if key is None: key = qt.QTableWidgetItem(field) self.setItem(line, col, key) else: item.setText(field) if recolor: #function introduced in Qt 4.2.0 if QTVERSION >= '4.2.0': item.setBackground(qt.QBrush(color)) item.setFlags(qt.Qt.ItemIsSelectable|qt.Qt.ItemIsEnabled) col=col+1 if recolor: if not alreadyforced: alreadyforced = 1 self.scrollToItem(self.item(line, 0)) i += 1 i = 0 for label in self.labels: self.resizeColumnToContents(i) i=i+1 ndict = {} ndict['event'] = 'McaTableFilled' self.sigMcaTableSignal.emit(ndict) def __getfitpar(self,result): if result['fitconfig']['fittheory'].find("Area") != -1: fitlabel='Area' elif result['fitconfig']['fittheory'].find("Hypermet") != -1: fitlabel='Area' else: fitlabel='Height' values = [] sigmavalues = [] for param in result['paramlist']: if param['name'].find('ST_Area')!= -1: # value and sigmavalue known via fitlabel values[-1] = value * (1.0 + param['fitresult']) #just an approximation sigmavalues[-1] = sigmavalue * (1.0 + param['fitresult']) elif param['name'].find('LT_Area')!= -1: pass elif param['name'].find(fitlabel)!= -1: value = param['fitresult'] sigmavalue = param['sigma'] values.append(value) sigmavalues.append(sigmavalue) return fitlabel, values, sigmavalues def __myslot(self, *var): ddict={} if len(var) == 0: #selection changed event #get the current selection ddict['event'] = 'McaTableClicked' row = self.currentRow() else: #Header click ddict['event'] = 'McaTableRowHeaderClicked' row = var[0] ccol = self.currentColumn() ddict['row' ] = row ddict['col'] = ccol ddict['labelslist'] = self.labels if row >= 0: col = 0 for label in self.labels: text = str(self.item(row, col).text()) try: ddict[label] = float(text) except: ddict[label] = text col +=1 self.sigMcaTableSignal.emit(ddict) PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/TabSheets.py0000644000276300001750000000654613136054446022351 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() class TabSheets(qt.QDialog): def __init__(self,parent = None,name = None,modal = 0,fl = 0, nohelp =1,nodefaults=1): qt.QDialog.__init__(self,parent) self.setWindowTitle(str("TabSheets")) self.setModal(modal) TabSheetsLayout = qt.QVBoxLayout(self) TabSheetsLayout.setContentsMargins(11, 11, 11, 11) TabSheetsLayout.setSpacing(6) self.tabWidget = qt.QTabWidget(self) self.Widget8 = qt.QWidget(self.tabWidget) self.Widget9 = qt.QWidget(self.tabWidget) self.tabWidget.addTab(self.Widget8,str("Tab")) self.tabWidget.addTab(self.Widget9,str("Tab")) TabSheetsLayout.addWidget(self.tabWidget) Layout2 = qt.QHBoxLayout(None) Layout2.setContentsMargins(0, 0, 0, 0) Layout2.setSpacing(6) if not nohelp: self.buttonHelp = qt.QPushButton(self) self.buttonHelp.setText(str("Help")) Layout2.addWidget(self.buttonHelp) if not nodefaults: self.buttonDefaults = qt.QPushButton(self) self.buttonDefaults.setText(str("Defaults")) Layout2.addWidget(self.buttonDefaults) spacer = qt.QSpacerItem(20,20, qt.QSizePolicy.Expanding, qt.QSizePolicy.Minimum) Layout2.addItem(spacer) self.buttonOk = qt.QPushButton(self) self.buttonOk.setText(str("OK")) Layout2.addWidget(self.buttonOk) self.buttonCancel = qt.QPushButton(self) self.buttonCancel.setText(str("Cancel")) Layout2.addWidget(self.buttonCancel) TabSheetsLayout.addLayout(Layout2) self.buttonOk.clicked.connect(self.accept) self.buttonCancel.clicked.connect(self.reject) PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/Parameters.py0000644000276300001750000011102413136054446022556 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt if not hasattr(qt, "QString"): QString = str else: QString = qt.QString if not hasattr(qt, "QStringList"): QStringList = list else: QStringList = qt.QStringList QTVERSION = qt.qVersion() QTable = qt.QTableWidget class QComboTableItem(qt.QComboBox): sigCellChanged = qt.pyqtSignal(int, int) def __init__(self, parent=None, row=None, col=None): self._row = row self._col = col qt.QComboBox.__init__(self, parent) self.activated[int].connect(self._cellChanged) def _cellChanged(self, idx): if DEBUG: print("cell changed", idx) self.sigCellChanged.emit(self._row, self._col) class QCheckBoxItem(qt.QCheckBox): sigCellChanged = qt.pyqtSignal(int, int) def __init__(self, parent=None, row=None, col=None): self._row = row self._col = col qt.QCheckBox.__init__(self, parent) self.clicked.connect(self._cellChanged) def _cellChanged(self): self.sigCellChanged.emit(self._row, self._col) DEBUG = 0 class Parameters(QTable): def __init__(self, parent=None, allowBackgroundAdd=False, **kw): QTable.__init__(self, parent) self._allowBackgroundAdd = allowBackgroundAdd self.setRowCount(1) self.setColumnCount(1) self.labels = ['Parameter', 'Estimation', 'Fit Value', 'Sigma', 'Constraints', 'Min/Parame', 'Max/Factor/Delta/'] if DEBUG: self.code_options = ["FREE", "POSITIVE", "QUOTED", "FIXED", "FACTOR", "DELTA", "SUM", "IGNORE", "ADD", "SHOW"] else: self.code_options = ["FREE", "POSITIVE", "QUOTED", "FIXED", "FACTOR", "DELTA", "SUM", "IGNORE", "ADD"] self.__configuring = False self.setColumnCount(len(self.labels)) i = 0 if 'labels' in kw: for label in kw['labels']: item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(self.labels[i], qt.QTableWidgetItem.Type) self.setHorizontalHeaderItem(i, item) item.setText(self.labels[i]) i += 1 else: for label in self.labels: item = self.horizontalHeaderItem(i) if item is None: item = qt.QTableWidgetItem(self.labels[i], qt.QTableWidgetItem.Type) self.setHorizontalHeaderItem(i, item) item.setText(self.labels[i]) i += 1 self.resizeColumnToContents(self.labels.index('Parameter')) self.resizeColumnToContents(1) self.resizeColumnToContents(3) self.resizeColumnToContents(len(self.labels) - 1) self.resizeColumnToContents(len(self.labels) - 2) self.parameters = {} self.paramlist = [] if 'paramlist' in kw: self.paramlist = kw['paramlist'] self.build() self.cellChanged[int,int].connect(self.myslot) def build(self): line = 1 oldlist = list(self.paramlist) self.paramlist = [] for param in oldlist: self.newparameterline(param, line) line += 1 def newparameterline(self, param, line): #get current number of lines nlines = self.rowCount() self.__configuring = True if (line > nlines): self.setRowCount(line) linew = line - 1 self.parameters[param] = {'line': linew, 'fields': ['name', 'estimation', 'fitresult', 'sigma', 'code', 'val1', 'val2'], 'estimation': QString('0'), 'fitresult': QString(), 'sigma': QString(), 'code': QString('FREE'), 'val1': QString(), 'val2': QString(), 'cons1': 0, 'cons2': 0, 'vmin': QString('0'), 'vmax': QString('1'), 'relatedto': QString(), 'factor': QString('1.0'), 'delta': QString('0.0'), 'sum': QString('0.0'), 'group': QString(), 'name': QString(param), 'xmin': None, 'xmax': None} self.paramlist.append(param) #Aleixandre request:self.setText(linew,0,QString(param)) self.setReadWrite(param, 'estimation') self.setReadOnly(param, ['name', 'fitresult', 'sigma', 'val1', 'val2']) #the code a = QStringList() for option in self.code_options: a.append(option) cellWidget = self.cellWidget(linew, self.parameters[param]['fields'].index('code')) if cellWidget is None: col = self.parameters[param]['fields'].index('code') cellWidget = QComboTableItem(self, row=linew, col=col) cellWidget.addItems(a) self.setCellWidget(linew, col, cellWidget) cellWidget.sigCellChanged[int, int].connect(self.myslot) self.parameters[param]['code_item'] = cellWidget self.parameters[param]['relatedto_item'] = None self.__configuring = False def fillTableFromFit(self, fitparameterslist): return self.fillfromfit(fitparameterslist) def fillfromfit(self, fitparameterslist): self.setRowCount(len(fitparameterslist)) self.parameters = {} self.paramlist = [] line = 1 for param in fitparameterslist: self.newparameterline(param['name'], line) line += 1 for param in fitparameterslist: name = param['name'] code = str(param['code']) if code not in self.code_options: code = self.code_options[int(code)] val1 = param['cons1'] val2 = param['cons2'] estimation = param['estimation'] group = param['group'] sigma = param['sigma'] fitresult = param['fitresult'] if 'xmin' in param: xmin = param['xmin'] else: xmin = None if 'xmax' in param: xmax = param['xmax'] else: xmax = None self.configure(name=name, code=code, val1=val1, val2=val2, estimation=estimation, fitresult=fitresult, sigma=sigma, group=group, xmin=xmin, xmax=xmax) def fillFitFromTable(self): return self.fillfitfromtable() def getConfiguration(self): ddict = {} ddict['parameters'] = self.fillFitFromTable() return ddict def setConfiguration(self, ddict): self.fillTableFromFit(ddict['parameters']) def fillfitfromtable(self): fitparameterslist = [] for param in self.paramlist: fitparam = {} name = param estimation, [code, cons1, cons2] = self.cget(name) buf = str(self.parameters[param]['fitresult']) xmin = self.parameters[param]['xmin'] xmax = self.parameters[param]['xmax'] if len(buf): fitresult = float(buf) else: fitresult = 0.0 buf = str(self.parameters[param]['sigma']) if len(buf): sigma = float(buf) else: sigma = 0.0 buf = str(self.parameters[param]['group']) if len(buf): group = float(buf) else: group = 0 fitparam['name'] = name fitparam['estimation'] = estimation fitparam['fitresult'] = fitresult fitparam['sigma'] = sigma fitparam['group'] = group fitparam['code'] = code fitparam['cons1'] = cons1 fitparam['cons2'] = cons2 fitparam['xmin'] = xmin fitparam['xmax'] = xmax fitparameterslist.append(fitparam) return fitparameterslist def myslot(self, row, col): if DEBUG: print("Passing by myslot(%d, %d)" % (row, col)) print("current(%d, %d)" % (self.currentRow(), self.currentColumn())) if (col != 4) and (col != -1): if row != self.currentRow(): return if col != self.currentColumn(): return if self.__configuring: return param = self.paramlist[row] field = self.parameters[param]['fields'][col] oldvalue = QString(self.parameters[param][field]) if col != 4: item = self.item(row, col) if item is not None: newvalue = item.text() else: newvalue = QString() else: #this is the combobox widget = self.cellWidget(row, col) newvalue = widget.currentText() if DEBUG: print("old value = ", oldvalue) print("new value = ", newvalue) if self.validate(param, field, oldvalue, newvalue): if DEBUG: print("Change is valid") exec("self.configure(name=param,%s=newvalue)" % field) else: if DEBUG: print("Change is not valid") print("oldvalue ", oldvalue) if field == 'code': index = self.code_options.index(oldvalue) self.__configuring = True try: self.parameters[param]['code_item'].setCurrentIndex(index) finally: self.__configuring = False else: exec("self.configure(name=param,%s=oldvalue)" % field) def validate(self, param, field, oldvalue, newvalue): if field == 'code': pass return self.setcodevalue(param, field, oldvalue, newvalue) if ((str(self.parameters[param]['code']) == 'DELTA') or\ (str(self.parameters[param]['code']) == 'FACTOR') or\ (str(self.parameters[param]['code']) == 'SUM')) and \ (field == 'val1'): best, candidates = self.getrelatedcandidates(param) if str(newvalue) in candidates: return 1 else: return 0 else: try: float(str(newvalue)) except: return 0 return 1 def setcodevalue(self, workparam, field, oldvalue, newvalue): if str(newvalue) == 'FREE': self.configure(name=workparam, code=newvalue) #, #cons1=0, #cons2=0, #val1='', #val2='') if str(oldvalue) == 'IGNORE': self.freerestofgroup(workparam) return 1 elif str(newvalue) == 'POSITIVE': self.configure(name=workparam, code=newvalue) #, #cons1=0, #cons2=0, #val1='', #val2='') if str(oldvalue) == 'IGNORE': self.freerestofgroup(workparam) return 1 elif str(newvalue) == 'QUOTED': #I have to get the limits self.configure(name=workparam, code=newvalue) #, #cons1=self.parameters[workparam]['vmin'], #cons2=self.parameters[workparam]['vmax']) #, #val1=self.parameters[workparam]['vmin'], #val2=self.parameters[workparam]['vmax']) if str(oldvalue) == 'IGNORE': self.freerestofgroup(workparam) return 1 elif str(newvalue) == 'FIXED': self.configure(name=workparam, code=newvalue) #, #cons1=0, #cons2=0, #val1='', #val2='') if str(oldvalue) == 'IGNORE': self.freerestofgroup(workparam) return 1 elif str(newvalue) == 'FACTOR': #I should check here that some parameter is set best, candidates = self.getrelatedcandidates(workparam) if len(candidates) == 0: return 0 self.configure(name=workparam, code=newvalue, relatedto=best) #, #cons1=0, #cons2=0, #val1='', #val2='') if str(oldvalue) == 'IGNORE': self.freerestofgroup(workparam) return 1 elif str(newvalue) == 'DELTA': #I should check here that some parameter is set best, candidates = self.getrelatedcandidates(workparam) if len(candidates) == 0: return 0 self.configure(name=workparam, code=newvalue, relatedto=best) #, #cons1=0, #cons2=0, #val1='', #val2='') if str(oldvalue) == 'IGNORE': self.freerestofgroup(workparam) return 1 elif str(newvalue) == 'SUM': #I should check here that some parameter is set best, candidates = self.getrelatedcandidates(workparam) if len(candidates) == 0: return 0 self.configure(name=workparam, code=newvalue, relatedto=best) #, #cons1=0, #cons2=0, #val1='', #val2='') if str(oldvalue) == 'IGNORE': self.freerestofgroup(workparam) return 1 elif str(newvalue) == 'IGNORE': # I should check if the group can be ignored # for the time being I just fix all of them to ignore group = int(float(str(self.parameters[workparam]['group']))) candidates = [] for param in self.parameters.keys(): if group == int(float(str(self.parameters[param]['group']))): candidates.append(param) #print candidates #I should check here if there is any relation to them for param in candidates: self.configure(name=param, code=newvalue) #, #cons1=0, #cons2=0, #val1='', #val2='') return 1 elif str(newvalue) == 'ADD': group = int(float(str(self.parameters[workparam]['group']))) if group == 0: if not self._allowBackgroundAdd: #One cannot add a background group return 0 i = 0 for param in self.paramlist: if i <= int(float(str(self.parameters[param]['group']))): i += 1 if (group == 0) and (i == 1): i += 1 self.addgroup(i, group) return 0 elif str(newvalue) == 'SHOW': print(self.cget(workparam)) return 0 else: print("None of the others!") def addgroup(self, newg, gtype): if DEBUG: print("addgroup called") print("newg = ", newg, "gtype = ", gtype) line = 0 newparam = [] oldparamlist = list(self.paramlist) for param in oldparamlist: line += 1 paramgroup = int(float(str(self.parameters[param]['group']))) if paramgroup == gtype: #Try to construct an appropriate name #I have to remove any possible trailing number #and append the group index xmin = self.parameters[param]['xmin'] xmax = self.parameters[param]['xmax'] j = len(param) - 1 while ('0' < param[j]) & (param[j] < '9'): j -= 1 if j == -1: break if j >= 0: newparam.append(param[0:j + 1] + "%d" % newg) else: newparam.append("%d" % newg) for param in newparam: line += 1 self.newparameterline(param, line) for param in newparam: self.configure(name=param, group=newg, xmin=xmin, xmax=xmax) def freerestofgroup(self, workparam): if workparam in self.parameters.keys(): group = int(float(str(self.parameters[workparam]['group']))) for param in self.parameters.keys(): if param != workparam: if group == int(float(str(self.parameters[param]['group']))): self.configure(name=param, code='FREE', cons1=0, cons2=0, val1='', val2='') def getrelatedcandidates(self, workparam): best = None candidates = [] for param in self.paramlist: if param != workparam: if str(self.parameters[param]['code']) != 'IGNORE' and \ str(self.parameters[param]['code']) != 'FACTOR' and \ str(self.parameters[param]['code']) != 'DELTA' and \ str(self.parameters[param]['code']) != 'SUM': candidates.append(param) #Now get the best from the list if candidates == None: return best, candidates #take the previous one if possible if str(self.parameters[workparam]['relatedto']) in candidates: best = str(self.parameters[workparam]['relatedto']) return best, candidates #take the first with similar name for param in candidates: j = len(param) - 1 while ('0' <= param[j]) & (param[j] < '9'): j -= 1 if j == -1: break if j >= 0: try: pos = workparam.index(param[0:j + 1]) if pos == 0: best = param return best, candidates except: pass #take the first return candidates[0], candidates def setReadOnly(self, parameter, fields): if DEBUG: print("parameter ", parameter) print("fields = ", fields) print("asked to be read only") if QTVERSION < '4.0.0': self.setfield(parameter, fields, qttable.QTableItem.Never) else: editflags = qt.Qt.ItemIsSelectable | qt.Qt.ItemIsEnabled self.setfield(parameter, fields, editflags) def setReadWrite(self, parameter, fields): if DEBUG: print("parameter ", parameter) print("fields = ", fields) print("asked to be read write") if QTVERSION < '4.0.0': self.setfield(parameter, fields, qttable.QTableItem.OnTyping) else: editflags = qt.Qt.ItemIsSelectable |\ qt.Qt.ItemIsEnabled |\ qt.Qt.ItemIsEditable self.setfield(parameter, fields, editflags) def setfield(self, parameter, fields, EditType): if DEBUG: print("setfield. parameter =", parameter) print("fields = ", fields) if isinstance(parameter, list) or \ isinstance(parameter, tuple): paramlist = parameter else: paramlist = [parameter] if isinstance(fields, list) or \ isinstance(fields, tuple): fieldlist = fields else: fieldlist = [fields] _oldvalue = self.__configuring self.__configuring = True for param in paramlist: if param in self.paramlist: try: row = self.paramlist.index(param) except ValueError: row = -1 if row >= 0: for field in fieldlist: if field in self.parameters[param]['fields']: col = self.parameters[param]['fields'].index(field) if field != 'code': key = field + "_item" if QTVERSION < '4.0.0': self.parameters[param][key] = qttable.QTableItem(self, EditType, self.parameters[param][field]) self.setItem(row, col, self.parameters[param][key]) else: item = self.item(row, col) if item is None: item = qt.QTableWidgetItem() item.setText(self.parameters[param][field]) self.setItem(row, col, item) else: item.setText(self.parameters[param][field]) self.parameters[param][key] = item item.setFlags(EditType) self.__configuring = _oldvalue def configure(self, *vars, **kw): if DEBUG: print("configure called with **kw = ", kw) name = None error = 0 if 'name' in kw: name = kw['name'] else: return 1 if name in self.parameters: for key in kw.keys(): if key is not 'name': if key in self.parameters[name]['fields']: oldvalue = self.parameters[name][key] if key is 'code': newvalue = QString(str(kw[key])) else: if len(str(kw[key])): keyDone = False if key == "val1": if str(self.parameters[name]['code']) in\ ['DELTA', 'FACTOR', 'SUM']: newvalue = str(kw[key]) keyDone = True if not keyDone: newvalue = float(str(kw[key])) if key is 'sigma': newvalue = "%6.3g" % newvalue else: newvalue = "%8g" % newvalue else: newvalue = "" newvalue = QString(newvalue) #avoid endless recursivity if key is not 'code': if self.validate(name, key, oldvalue, newvalue): self.parameters[name][key] = newvalue else: self.parameters[name][key] = oldvalue error = 1 elif key in self.parameters[name].keys(): newvalue = QString(str(kw[key])) self.parameters[name][key] = newvalue if DEBUG: print("error = ", error) if 'code' in kw.keys(): newvalue = QString(kw['code']) self.parameters[name]['code'] = newvalue if QTVERSION < '4.0.0': self.parameters[name]['code_item'].setCurrentItem(newvalue) else: for i in range(self.parameters[name]['code_item'].count()): if str(newvalue) == str(self.parameters[name]['code_item'].itemText(i)): self.parameters[name]['code_item'].setCurrentIndex(i) break if str(self.parameters[name]['code']) == 'QUOTED': if 'val1' in kw.keys(): self.parameters[name]['vmin'] = self.parameters[name]['val1'] if 'val2' in kw.keys(): self.parameters[name]['vmax'] = self.parameters[name]['val2'] if str(self.parameters[name]['code']) == 'DELTA': if 'val1'in kw.keys(): if kw['val1'] in self.paramlist: self.parameters[name]['relatedto'] = kw['val1'] else: self.parameters[name]['relatedto'] =\ self.paramlist[int(float(str(kw['val1'])))] if 'val2'in kw.keys(): self.parameters[name]['delta'] = self.parameters[name]['val2'] if str(self.parameters[name]['code']) == 'SUM': if 'val1' in kw.keys(): if kw['val1'] in self.paramlist: self.parameters[name]['relatedto'] = kw['val1'] else: self.parameters[name]['relatedto'] =\ self.paramlist[int(float(str(kw['val1'])))] if 'val2' in kw.keys(): self.parameters[name]['sum'] = self.parameters[name]['val2'] if str(self.parameters[name]['code']) == 'FACTOR': if 'val1'in kw.keys(): if kw['val1'] in self.paramlist: self.parameters[name]['relatedto'] = kw['val1'] else: self.parameters[name]['relatedto'] =\ self.paramlist[int(float(str(kw['val1'])))] if 'val2'in kw.keys(): self.parameters[name]['factor'] = self.parameters[name]['val2'] else: #Update the proper parameter in case of change in val1 and val2 if str(self.parameters[name]['code']) == 'QUOTED': self.parameters[name]['vmin'] = self.parameters[name]['val1'] self.parameters[name]['vmax'] = self.parameters[name]['val2'] #print "vmin =",str(self.parameters[name]['vmin']) if str(self.parameters[name]['code']) == 'DELTA': self.parameters[name]['relatedto'] = self.parameters[name]['val1'] self.parameters[name]['delta'] = self.parameters[name]['val2'] if str(self.parameters[name]['code']) == 'SUM': self.parameters[name]['relatedto'] = self.parameters[name]['val1'] self.parameters[name]['sum'] = self.parameters[name]['val2'] if str(self.parameters[name]['code']) == 'FACTOR': self.parameters[name]['relatedto'] = self.parameters[name]['val1'] self.parameters[name]['factor'] = self.parameters[name]['val2'] #Update val1 and val2 according to the parameters #and Update the table if str(self.parameters[name]['code']) == 'FREE' or \ str(self.parameters[name]['code']) == 'POSITIVE' or \ str(self.parameters[name]['code']) == 'IGNORE' or\ str(self.parameters[name]['code']) == 'FIXED': self.parameters[name]['val1'] = QString() self.parameters[name]['val2'] = QString() self.parameters[name]['cons1'] = 0 self.parameters[name]['cons2'] = 0 self.setReadWrite(name, 'estimation') self.setReadOnly(name, ['fitresult', 'sigma', 'val1', 'val2']) elif str(self.parameters[name]['code']) == 'QUOTED': self.parameters[name]['val1'] = self.parameters[name]['vmin'] self.parameters[name]['val2'] = self.parameters[name]['vmax'] try: self.parameters[name]['cons1'] =\ float(str(self.parameters[name]['val1'])) except: self.parameters[name]['cons1'] = 0 try: self.parameters[name]['cons2'] =\ float(str(self.parameters[name]['val2'])) except: self.parameters[name]['cons2'] = 0 if self.parameters[name]['cons1'] > self.parameters[name]['cons2']: buf = self.parameters[name]['cons1'] self.parameters[name]['cons1'] = self.parameters[name]['cons2'] self.parameters[name]['cons2'] = buf self.setReadWrite(name, ['estimation', 'val1', 'val2']) self.setReadOnly(name, ['fitresult', 'sigma']) elif str(self.parameters[name]['code']) == 'FACTOR': self.parameters[name]['val1'] = self.parameters[name]['relatedto'] self.parameters[name]['val2'] = self.parameters[name]['factor'] self.parameters[name]['cons1'] =\ self.paramlist.index(str(self.parameters[name]['val1'])) try: self.parameters[name]['cons2'] =\ float(str(self.parameters[name]['val2'])) except: error = 1 print("Forcing factor to 1") self.parameters[name]['cons2'] = 1.0 self.setReadWrite(name, ['estimation', 'val1', 'val2']) self.setReadOnly(name, ['fitresult', 'sigma']) elif str(self.parameters[name]['code']) == 'DELTA': self.parameters[name]['val1'] = self.parameters[name]['relatedto'] self.parameters[name]['val2'] = self.parameters[name]['delta'] self.parameters[name]['cons1'] =\ self.paramlist.index(str(self.parameters[name]['val1'])) try: self.parameters[name]['cons2'] =\ float(str(self.parameters[name]['val2'])) except: error = 1 print("Forcing delta to 0") self.parameters[name]['cons2'] = 0.0 self.setReadWrite(name, ['estimation', 'val1', 'val2']) self.setReadOnly(name, ['fitresult', 'sigma']) elif str(self.parameters[name]['code']) == 'SUM': self.parameters[name]['val1'] = self.parameters[name]['relatedto'] self.parameters[name]['val2'] = self.parameters[name]['sum'] self.parameters[name]['cons1'] =\ self.paramlist.index(str(self.parameters[name]['val1'])) try: self.parameters[name]['cons2'] =\ float(str(self.parameters[name]['val2'])) except: error = 1 print("Forcing sum to 0") self.parameters[name]['cons2'] = 0.0 self.setReadWrite(name, ['estimation', 'val1', 'val2']) self.setReadOnly(name, ['fitresult', 'sigma']) else: self.setReadWrite(name, ['estimation', 'val1', 'val2']) self.setReadOnly(name, ['fitresult', 'sigma']) return error def cget(self, param): """ Return tuple estimation,constraints where estimation is the value in the estimate field and constraints are the relevant constraints according to the active code """ estimation = None constraints = None if param in self.parameters.keys(): buf = str(self.parameters[param]['estimation']) if len(buf): estimation = float(buf) else: estimation = 0 self.parameters[param]['code_item'] if str(self.parameters[param]['code']) in self.code_options: code = self.code_options.index(str(self.parameters[param]['code'])) else: code = str(self.parameters[param]['code']) cons1 = self.parameters[param]['cons1'] cons2 = self.parameters[param]['cons2'] constraints = [code, cons1, cons2] return estimation, constraints def main(args): from PyMca5.PyMca import specfile from PyMca5.PyMca import specfilewrapper as specfile from PyMca5.PyMca import Specfit from PyMca5 import PyMcaDataDir import numpy import os app = qt.QApplication(args) tab = Parameters(labels=['Parameter', 'Estimation', 'Fit Value', 'Sigma', 'Restrains', 'Min/Parame', 'Max/Factor/Delta/'], paramlist=['Height', 'Position', 'FWHM']) tab.showGrid() tab.configure(name='Height', estimation='1234', group=0) tab.configure(name='Position', code='FIXED', group=1) tab.configure(name='FWHM', group=1) sf=specfile.Specfile(os.path.join(PyMcaDataDir.PYMCA_DATA_DIR, "XRFSpectrum.mca")) scan=sf.select('2.1') mcadata=scan.mca(1) y=numpy.array(mcadata) #x=numpy.arange(len(y)) x=numpy.arange(len(y))*0.0502883-0.492773 fit=Specfit.Specfit() fit.setdata(x=x,y=y) fit.importfun(os.path.join(os.path.dirname(Specfit.__file__), "SpecfitFunctions.py")) fit.settheory('Hypermet') fit.configure(Yscaling=1., WeightFlag=1, PosFwhmFlag=1, HeightAreaFlag=1, FwhmPoints=16, PositionFlag=1, HypermetTails=1) fit.setbackground('Linear') fit.estimate() fit.startfit() tab.fillfromfit(fit.paramlist) tab.show() app.lastWindowClosed.connect(app.quit) app.exec_() if __name__ == "__main__": main(sys.argv) PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/CheckField.py0000644000276300001750000000401313136054446022433 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt class CheckField(qt.QWidget): def __init__(self,parent = None,name = None,fl = 0): qt.QWidget.__init__(self,parent) self.resize(321,45) CheckFieldLayout = qt.QHBoxLayout(self) CheckFieldLayout.setContentsMargins(11, 11, 11, 11) CheckFieldLayout.setSpacing(6) self.CheckBox = qt.QCheckBox(self) self.CheckBox.setText("CheckBox") CheckFieldLayout.addWidget(self.CheckBox) PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/SpecfitGui.py0000644000276300001750000005373013136054446022526 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import traceback from PyMca5.PyMcaCore import EventHandler from PyMca5.PyMcaMath.fitting import Specfit from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMcaFileDialogs QTVERSION = qt.qVersion() from . import FitConfigGui from . import MultiParameters from . import FitActionsGui from . import FitStatusGui from . import QScriptOption DEBUG = 0 class SpecfitGui(qt.QWidget): sigSpecfitGuiSignal = qt.pyqtSignal(object) def __init__(self,parent = None,name = None,fl = 0, specfit = None, config = 0, status = 0, buttons = 0, eh = None): if name == None: name = "SpecfitGui" qt.QWidget.__init__(self, parent) self.setWindowTitle(name) layout= qt.QVBoxLayout(self) #layout.setAutoAdd(1) if eh == None: self.eh = EventHandler.EventHandler() else: self.eh = eh if specfit is None: self.specfit = Specfit.Specfit(eh=self.eh) else: self.specfit = specfit #initialize the default fitting functions in case #none is present if not len(self.specfit.theorylist): funsFile = "SpecfitFunctions.py" if not os.path.exists(funsFile): funsFile = os.path.join(os.path.dirname(Specfit.__file__),\ funsFile) self.specfit.importfun(funsFile) #copy specfit configure method for direct access self.configure=self.specfit.configure self.fitconfig=self.specfit.fitconfig self.setdata=self.specfit.setdata self.guiconfig=None if config: self.guiconfig = FitConfigGui.FitConfigGui(self) self.guiconfig.MCACheckBox.stateChanged[int].connect(self.mcaevent) self.guiconfig.WeightCheckBox.stateChanged[int].connect(self.weightevent) self.guiconfig.AutoFWHMCheckBox.stateChanged[int].connect(self.autofwhmevent) self.guiconfig.AutoScalingCheckBox.stateChanged[int].connect(self.autoscaleevent) self.guiconfig.ConfigureButton.clicked.connect(self.__configureGuiSlot) self.guiconfig.PrintPushButton.clicked.connect(self.printps) self.guiconfig.BkgComBox.activated[str].connect(self.bkgevent) self.guiconfig.FunComBox.activated[str].connect(self.funevent) layout.addWidget(self.guiconfig) self.guiparameters = MultiParameters.ParametersTab(self) layout.addWidget(self.guiparameters) self.guiparameters.sigMultiParametersSignal.connect(self.__forward) if config: for key in self.specfit.bkgdict.keys(): self.guiconfig.BkgComBox.addItem(str(key)) for key in self.specfit.theorylist: self.guiconfig.FunComBox.addItem(str(key)) configuration={} if specfit is not None: configuration = specfit.configure() if configuration['fittheory'] is None: self.guiconfig.FunComBox.setCurrentIndex(1) self.funevent(self.specfit.theorylist[0]) else: self.funevent(configuration['fittheory']) if configuration['fitbkg'] is None: self.guiconfig.BkgComBox.setCurrentIndex(1) self.bkgevent(list(self.specfit.bkgdict.keys())[0]) else: self.bkgevent(configuration['fitbkg']) else: self.guiconfig.BkgComBox.setCurrentIndex(1) self.guiconfig.FunComBox.setCurrentIndex(1) self.funevent(self.specfit.theorylist[0]) self.bkgevent(list(self.specfit.bkgdict.keys())[0]) configuration.update(self.configure()) if configuration['McaMode']: self.guiconfig.MCACheckBox.setChecked(1) else: self.guiconfig.MCACheckBox.setChecked(0) if configuration['WeightFlag']: self.guiconfig.WeightCheckBox.setChecked(1) else: self.guiconfig.WeightCheckBox.setChecked(0) if configuration['AutoFwhm']: self.guiconfig.AutoFWHMCheckBox.setChecked(1) else: self.guiconfig.AutoFWHMCheckBox.setChecked(0) if configuration['AutoScaling']: self.guiconfig.AutoScalingCheckBox.setChecked(1) else: self.guiconfig.AutoScalingCheckBox.setChecked(0) if status: self.guistatus = FitStatusGui.FitStatusGui(self) self.eh.register('FitStatusChanged',self.fitstatus) layout.addWidget(self.guistatus) if buttons: self.guibuttons = FitActionsGui.FitActionsGui(self) self.guibuttons.EstimateButton.clicked.connect(self.estimate) self.guibuttons.StartfitButton.clicked.connect(self.startfit) self.guibuttons.DismissButton.clicked.connect(self.dismiss) layout.addWidget(self.guibuttons) def updateGui(self,configuration=None): self.__configureGui(configuration) def _emitSignal(self, ddict): self.sigSpecfitGuiSignal.emit(ddict) def __configureGuiSlot(self): self.__configureGui() def __configureGui(self, newconfiguration=None): if self.guiconfig is not None: #get current dictionary #print "before ",self.specfit.fitconfig['fitbkg'] configuration=self.configure() #get new dictionary if newconfiguration is None: newconfiguration=self.configureGui(configuration) #update configuration configuration.update(self.configure(**newconfiguration)) #print "after =",self.specfit.fitconfig['fitbkg'] #update Gui #current function #self.funevent(self.specfit.theorylist[0]) try: i=1+self.specfit.theorylist.index(self.specfit.fitconfig['fittheory']) self.guiconfig.FunComBox.setCurrentIndex(i) self.funevent(self.specfit.fitconfig['fittheory']) except: print("Function not in list %s" %\ self.specfit.fitconfig['fittheory']) self.funevent(self.specfit.theorylist[0]) #current background try: #the list conversion is needed in python 3. i=1+list(self.specfit.bkgdict.keys()).index(self.specfit.fitconfig['fitbkg']) self.guiconfig.BkgComBox.setCurrentIndex(i) except: print("Background not in list %s" %\ self.specfit.fitconfig['fitbkg']) self.bkgevent(list(self.specfit.bkgdict.keys())[0]) #and all the rest if configuration['McaMode']: self.guiconfig.MCACheckBox.setChecked(1) else: self.guiconfig.MCACheckBox.setChecked(0) if configuration['WeightFlag']: self.guiconfig.WeightCheckBox.setChecked(1) else: self.guiconfig.WeightCheckBox.setChecked(0) if configuration['AutoFwhm']: self.guiconfig.AutoFWHMCheckBox.setChecked(1) else: self.guiconfig.AutoFWHMCheckBox.setChecked(0) if configuration['AutoScaling']: self.guiconfig.AutoScalingCheckBox.setChecked(1) else: self.guiconfig.AutoScalingCheckBox.setChecked(0) #update the Gui self.__initialparameters() def configureGui(self,oldconfiguration): #this method can be overwritten for custom #it should give back a new dictionary newconfiguration={} newconfiguration.update(oldconfiguration) if (0): #example to force a given default configuration newconfiguration['FitTheory']="Pseudo-Voigt Line" newconfiguration['AutoFwhm']=1 newconfiguration['AutoScaling']=1 #example script options like if (1): sheet1={'notetitle':'Restrains', 'fields':(["CheckField",'HeightAreaFlag','Force positive Height/Area'], ["CheckField",'PositionFlag','Force position in interval'], ["CheckField",'PosFwhmFlag','Force positive FWHM'], ["CheckField",'SameFwhmFlag','Force same FWHM'], ["CheckField",'EtaFlag','Force Eta between 0 and 1'], ["CheckField",'NoConstrainsFlag','Ignore Restrains'])} sheet2={'notetitle':'Search', 'fields':(["EntryField",'FwhmPoints', 'Fwhm Points: '], ["EntryField",'Sensitivity','Sensitivity: '], ["EntryField",'Yscaling', 'Y Factor : '], ["CheckField",'ForcePeakPresence', 'Force peak presence '])} w=QScriptOption.QScriptOption(self,name='Fit Configuration', sheets=(sheet1,sheet2), default=oldconfiguration) w.show() w.exec_() if w.result(): newconfiguration.update(w.output) #we do not need the dialog any longer del w newconfiguration['FwhmPoints']=int(float(newconfiguration['FwhmPoints'])) newconfiguration['Sensitivity']=float(newconfiguration['Sensitivity']) newconfiguration['Yscaling']=float(newconfiguration['Yscaling']) return newconfiguration def estimate(self): if self.specfit.fitconfig['McaMode']: try: mcaresult=self.specfit.mcafit() except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setWindowTitle("Error on mcafit") msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() ddict={} ddict['event'] = 'FitError' self._emitSignal(ddict) if DEBUG: raise return self.guiparameters.fillfrommca(mcaresult) ddict={} ddict['event'] = 'McaFitFinished' ddict['data'] = mcaresult self._emitSignal(ddict) #self.guiparameters.removeallviews(keep='Region 1') else: try: if self.specfit.theorydict[self.specfit.fitconfig['fittheory']][2] is not None: self.specfit.estimate() else: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Information) text = "Function does not define a way to estimate\n" text += "the initial parameters. Please, fill them\n" text += "yourself in the table and press Start Fit\n" msg.setText(text) msg.setWindowTitle('SpecfitGui Message') msg.exec_() return except: if DEBUG: raise msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error on estimate: %s" % sys.exc_info()[1]) msg.exec_() return self.guiparameters.fillfromfit(self.specfit.paramlist,current='Fit') self.guiparameters.removeallviews(keep='Fit') ddict={} ddict['event'] = 'EstimateFinished' ddict['data'] = self.specfit.paramlist self._emitSignal(ddict) return def __forward(self,ddict): self._emitSignal(ddict) def startfit(self): if self.specfit.fitconfig['McaMode']: try: mcaresult=self.specfit.mcafit() except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error on mcafit: %s" % sys.exc_info()[1]) msg.exec_() if DEBUG: raise return self.guiparameters.fillfrommca(mcaresult) ddict={} ddict['event'] = 'McaFitFinished' ddict['data'] = mcaresult self._emitSignal(ddict) #self.guiparameters.removeview(view='Fit') else: #for param in self.specfit.paramlist: # print param['name'],param['group'],param['estimation'] self.specfit.paramlist=self.guiparameters.fillfitfromtable() if DEBUG: for param in self.specfit.paramlist: print(param['name'],param['group'],param['estimation']) print("TESTING") self.specfit.startfit() try: self.specfit.startfit() except: msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Error on Fit") msg.exec_() if DEBUG: raise return self.guiparameters.fillfromfit(self.specfit.paramlist,current='Fit') self.guiparameters.removeallviews(keep='Fit') ddict={} ddict['event'] = 'FitFinished' ddict['data'] = self.specfit.paramlist self._emitSignal(ddict) return def printps(self,**kw): text = self.guiparameters.gettext(**kw) if __name__ == "__main__": self.__printps(text) else: ddict={} ddict['event'] = 'print' ddict['text'] = text self._emitSignal(ddict) return def __printps(self, text): msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("Sorry, Qt4 printing not implemented yet") msg.exec_() def mcaevent(self,item): if int(item): self.configure(McaMode=1) mode = 1 else: self.configure(McaMode=0) mode = 0 self.__initialparameters() ddict={} ddict['event'] = 'McaModeChanged' ddict['data'] = mode self._emitSignal(ddict) return def weightevent(self,item): if int(item): self.configure(WeightFlag=1) else: self.configure(WeightFlag=0) return def autofwhmevent(self,item): if int(item): self.configure(AutoFwhm=1) else: self.configure(AutoFwhm=0) return def autoscaleevent(self,item): if int(item): self.configure(AutoScaling=1) else: self.configure(AutoScaling=0) return def bkgevent(self,item): item=str(item) if item in self.specfit.bkgdict.keys(): self.specfit.setbackground(item) else: qt.QMessageBox.information(self, "Info", "Function not implemented") return i=1+self.specfit.bkgdict.keys().index(self.specfit.fitconfig['fitbkg']) self.guiconfig.BkgComBox.setCurrentIndex(i) self.__initialparameters() return def funevent(self,item): item=str(item) if item in self.specfit.theorylist: self.specfit.settheory(item) else: filelist = PyMcaFileDialogs.getFileList(self, message="Select python module with your function(s)", filetypelist=["Python Files (*.py)", "All Files (*)"], mode="OPEN", single=True, getfilter=False) if not len(filelist): functionsfile = "" else: functionsfile = filelist[0] if len(functionsfile): try: if self.specfit.importfun(functionsfile): qt.QMessageBox.critical(self, "ERROR", "Function not imported") return else: #empty the ComboBox n=self.guiconfig.FunComBox.count() while(self.guiconfig.FunComBox.count()>1): self.guiconfig.FunComBox.removeItem(1) #and fill it again for key in self.specfit.theorylist: if QTVERSION < '4.0.0': self.guiconfig.FunComBox.insertItem(str(key)) else: self.guiconfig.FunComBox.addItem(str(key)) except: qt.QMessageBox.critical(self, "ERROR", "Function not imported") i=1+self.specfit.theorylist.index(self.specfit.fitconfig['fittheory']) if QTVERSION < '4.0.0': self.guiconfig.FunComBox.setCurrentItem(i) else: self.guiconfig.FunComBox.setCurrentIndex(i) self.__initialparameters() return def __initialparameters(self): self.specfit.final_theory=[] self.specfit.paramlist=[] for pname in self.specfit.bkgdict[self.specfit.fitconfig['fitbkg']][1]: self.specfit.final_theory.append(pname) self.specfit.paramlist.append({'name':pname, 'estimation':0, 'group':0, 'code':'FREE', 'cons1':0, 'cons2':0, 'fitresult':0.0, 'sigma':0.0, 'xmin':None, 'xmax':None}) if self.specfit.fitconfig['fittheory'] is not None: for pname in self.specfit.theorydict[self.specfit.fitconfig['fittheory']][1]: self.specfit.final_theory.append(pname+"1") self.specfit.paramlist.append({'name':pname+"1", 'estimation':0, 'group':1, 'code':'FREE', 'cons1':0, 'cons2':0, 'fitresult':0.0, 'sigma':0.0, 'xmin':None, 'xmax':None}) if self.specfit.fitconfig['McaMode']: self.guiparameters.fillfromfit(self.specfit.paramlist,current='Region 1') self.guiparameters.removeallviews(keep='Region 1') else: self.guiparameters.fillfromfit(self.specfit.paramlist,current='Fit') self.guiparameters.removeallviews(keep='Fit') return def fitstatus(self,data): if 'chisq' in data: if data['chisq'] is None: self.guistatus.ChisqLine.setText(" ") else: chisq=data['chisq'] self.guistatus.ChisqLine.setText("%6.2f" % chisq) if 'status' in data: status=data['status'] self.guistatus.StatusLine.setText(str(status)) return def dismiss(self): self.close() return if __name__ == "__main__": import numpy from PyMca5 import SpecfitFunctions a=SpecfitFunctions.SpecfitFunctions() x = numpy.arange(2000).astype(numpy.float) p1 = numpy.array([1500,100.,30.0]) p2 = numpy.array([1500,300.,30.0]) p3 = numpy.array([1500,500.,30.0]) p4 = numpy.array([1500,700.,30.0]) p5 = numpy.array([1500,900.,30.0]) p6 = numpy.array([1500,1100.,30.0]) p7 = numpy.array([1500,1300.,30.0]) p8 = numpy.array([1500,1500.,30.0]) p9 = numpy.array([1500,1700.,30.0]) p10 = numpy.array([1500,1900.,30.0]) y = a.gauss(p1,x)+1 y = y + a.gauss(p2,x) y = y + a.gauss(p3,x) y = y + a.gauss(p4,x) y = y + a.gauss(p5,x) #y = y + a.gauss(p6,x) #y = y + a.gauss(p7,x) #y = y + a.gauss(p8,x) #y = y + a.gauss(p9,x) #y = y + a.gauss(p10,x) y=y/1000.0 a = qt.QApplication(sys.argv) a.lastWindowClosed.connect(a.quit) w = SpecfitGui(config=1, status=1, buttons=1) w.setdata(x=x,y=y) w.show() a.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/SimpleFitGui.py0000644000276300001750000004267013136054446023026 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2016 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaMath.fitting import SimpleFitModule from . import SimpleFitConfigurationGui from PyMca5.PyMcaMath.fitting import SimpleFitUserEstimatedFunctions from . import Parameters from PyMca5.PyMcaGui import PlotWindow DEBUG = 0 class TopWidget(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(2, 2, 2, 2) self.mainLayout.setSpacing(2) font = qt.QFont(self.font()) font.setBold(True) #Function handling self.functionLabel = qt.QLabel(self) self.functionLabel.setFont(font) self.functionLabel.setText("Function:") self.addFunctionButton = qt.QPushButton(self) self.addFunctionButton.setText("ADD") #fit function self.fitFunctionLabel = qt.QLabel(self) self.fitFunctionLabel.setFont(font) self.fitFunctionLabel.setText("Fit:") self.fitFunctionCombo = qt.QComboBox(self) self.fitFunctionCombo.addItem(qt.safe_str("None")) self.fitFunctionCombo.setSizeAdjustPolicy(qt.QComboBox.AdjustToContents) self.fitFunctionCombo.setMinimumWidth(100) #background function self.backgroundLabel = qt.QLabel(self) self.backgroundLabel.setFont(font) self.backgroundLabel.setText("Background:") self.backgroundCombo = qt.QComboBox(self) self.backgroundCombo.addItem(qt.safe_str("None")) self.backgroundCombo.setSizeAdjustPolicy(qt.QComboBox.AdjustToContents) self.backgroundCombo.setMinimumWidth(100) #arrange everything self.mainLayout.addWidget(self.functionLabel, 0, 0) self.mainLayout.addWidget(self.addFunctionButton, 0, 1) self.mainLayout.addWidget(qt.HorizontalSpacer(self), 0, 2) self.mainLayout.addWidget(self.fitFunctionLabel, 0, 3) self.mainLayout.addWidget(self.fitFunctionCombo, 0, 4) self.mainLayout.addWidget(qt.HorizontalSpacer(self), 0, 5) self.mainLayout.addWidget(self.backgroundLabel, 0, 6) self.mainLayout.addWidget(self.backgroundCombo, 0, 7) self.configureButton = qt.QPushButton(self) self.configureButton.setText("CONFIGURE") self.mainLayout.addWidget(self.configureButton, 0, 8) def setFunctions(self, functionList): currentFunction = qt.safe_str(self.fitFunctionCombo.currentText()) currentBackground = qt.safe_str(self.backgroundCombo.currentText()) self.fitFunctionCombo.clear() self.backgroundCombo.clear() self.fitFunctionCombo.addItem('None') self.backgroundCombo.addItem('None') for key in functionList: self.fitFunctionCombo.addItem(qt.safe_str(key)) self.backgroundCombo.addItem(qt.safe_str(key)) #restore previous values idx = self.fitFunctionCombo.findText(currentFunction) self.fitFunctionCombo.setCurrentIndex(idx) idx = self.backgroundCombo.findText(currentBackground) self.backgroundCombo.setCurrentIndex(idx) class StatusWidget(qt.QWidget): def __init__(self, parent=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QHBoxLayout(self) self.mainLayout.setContentsMargins(2, 2, 2, 2) self.mainLayout.setSpacing(2) self.statusLabel = qt.QLabel(self) self.statusLabel.setText(qt.safe_str("Status:")) self.statusLine = qt.QLineEdit(self) self.statusLine.setText(qt.safe_str("Ready")) self.statusLine.setReadOnly(1) self.chi2Label = qt.QLabel(self) self.chi2Label.setText(qt.safe_str("Reduced Chi Square:")) self.chi2Line = qt.QLineEdit(self) self.chi2Line.setText(qt.safe_str("")) self.chi2Line.setReadOnly(1) self.mainLayout.addWidget(self.statusLabel) self.mainLayout.addWidget(self.statusLine) self.mainLayout.addWidget(self.chi2Label) self.mainLayout.addWidget(self.chi2Line) class SimpleFitGui(qt.QWidget): sigSimpleFitSignal = qt.pyqtSignal(object) def __init__(self, parent=None, fit=None, graph=None, actions=True): qt.QWidget.__init__(self, parent) self.setWindowTitle("SimpleFitGui") if fit is None: self.fitModule = SimpleFitModule.SimpleFit() self.fitModule.importFunctions(SimpleFitUserEstimatedFunctions) else: self.fitModule = fit if graph is None: self.__useTab = True self.graph = PlotWindow.PlotWindow(newplot=False, plugins=False, fit=False, control=True, position=True) else: self.__useTab = False self.graph = graph self._configurationDialog = None self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(2, 2, 2, 2) self.mainLayout.setSpacing(2) self.topWidget = TopWidget(self) config = self.fitModule.getConfiguration() self.topWidget.setFunctions(config['fit']['functions']) config = None if self.__useTab: self.mainTab = qt.QTabWidget(self) self.mainLayout.addWidget(self.mainTab) self.parametersTable = Parameters.Parameters() self.mainTab.addTab(self.graph, 'GRAPH') self.mainTab.addTab(self.parametersTable, 'FIT') else: self.parametersTable = Parameters.Parameters(self) self.statusWidget = StatusWidget(self) self.mainLayout.addWidget(self.topWidget) if self.__useTab: self.mainLayout.addWidget(self.mainTab) else: self.mainLayout.addWidget(self.parametersTable) self.mainLayout.addWidget(self.statusWidget) if actions: #build the actions widget self.fitActions = qt.QWidget(self) self.fitActions.mainLayout = qt.QHBoxLayout(self.fitActions) self.fitActions.mainLayout.setContentsMargins(2, 2, 2, 2) self.fitActions.mainLayout.setSpacing(2) self.fitActions.estimateButton = qt.QPushButton(self.fitActions) self.fitActions.estimateButton.setText("Estimate") self.fitActions.startFitButton = qt.QPushButton(self.fitActions) self.fitActions.startFitButton.setText("Start Fit") self.fitActions.dismissButton = qt.QPushButton(self.fitActions) self.fitActions.dismissButton.setText("Dismiss") self.fitActions.mainLayout.addWidget(self.fitActions.estimateButton) self.fitActions.mainLayout.addWidget(self.fitActions.startFitButton) self.fitActions.mainLayout.addWidget(self.fitActions.dismissButton) self.mainLayout.addWidget(self.fitActions) #connect top widget self.topWidget.addFunctionButton.clicked.connect(\ self.importFunctions) self.topWidget.fitFunctionCombo.currentIndexChanged[int].connect(\ self.fitFunctionComboSlot) self.topWidget.backgroundCombo.currentIndexChanged[int].connect(\ self.backgroundComboSlot) self.topWidget.configureButton.clicked.connect(\ self.configureButtonSlot) if actions: #connect actions self.fitActions.estimateButton.clicked.connect(self.estimate) self.fitActions.startFitButton.clicked.connect(self.startFit) self.fitActions.dismissButton.clicked.connect(self.dismiss) def importFunctions(self, functionsfile=None): if functionsfile is None: fn = qt.QFileDialog.getOpenFileName() if fn.isEmpty(): functionsfile = "" else: functionsfile= qt.safe_str(fn) if not len(functionsfile): return if DEBUG: self.fitModule.importFunctions(functionsfile) else: try: self.fitModule.importFunctions(functionsfile) except: qt.QMessageBox.critical(self, "ERROR", "Function not imported") config = self.fitModule.getConfiguration() self.topWidget.setFunctions(config['fit']['functions']) def fitFunctionComboSlot(self, idx): if idx <= 0: fname = "None" else: fname = qt.safe_str(self.topWidget.fitFunctionCombo.itemText(idx)) self.fitModule.setFitFunction(fname) def backgroundComboSlot(self, idx): if idx <= 0: fname = "None" else: fname = qt.safe_str(self.topWidget.backgroundCombo.itemText(idx)) self.setBackgroundFunction(fname) def configureButtonSlot(self): if self._configurationDialog is None: self._configurationDialog =\ SimpleFitConfigurationGui.SimpleFitConfigurationGui() self._configurationDialog.setSimpleFitInstance(self.fitModule) if not self._configurationDialog.exec_(): if DEBUG: print("NOT UPDATING CONFIGURATION") oldConfig = self.fitModule.getConfiguration() self._configurationDialog.setConfiguration(oldConfig) return newConfig = self._configurationDialog.getConfiguration() self.topWidget.setFunctions(newConfig['fit']['functions']) self.fitModule.setConfiguration(newConfig) newConfig = self.fitModule.getConfiguration() #self.topWidget.setFunctions(newConfig['fit']['functions']) fname = self.fitModule.getFitFunction() if fname in [None, "None", "NONE"]: idx = 0 else: idx = newConfig['fit']['functions'].index(fname) + 1 self.topWidget.fitFunctionCombo.setCurrentIndex(idx) fname = self.fitModule.getBackgroundFunction() if fname in [None, "None", "NONE"]: idx = 0 else: idx = newConfig['fit']['functions'].index(fname) + 1 idx = self.topWidget.backgroundCombo.findText(fname) self.topWidget.backgroundCombo.setCurrentIndex(idx) if DEBUG: print("TABLE TO BE CLEANED") #self.estimate() def setFitFunction(self, fname): current = self.fitModule.getFitFunction() if current != fname: self.fitModule.setFitFunction(fname) idx = self.topWidget.fitFunctionCombo.findText(fname) self.topWidget.fitFunctionCombo.setCurrentIndex(idx) def setBackgroundFunction(self, fname): current = self.fitModule.getBackgroundFunction() if current != fname: self.fitModule.setBackgroundFunction(fname) idx = self.topWidget.backgroundCombo.findText(fname) self.topWidget.backgroundCombo.setCurrentIndex(idx) def setData(self, *var, **kw): returnValue = self.fitModule.setData(*var, **kw) if self.__useTab: if hasattr(self.graph, "addCurve"): self.graph.addCurve(self.fitModule._x, self.fitModule._y, legend='Data', replace=True) elif hasattr(self.graph, "newCurve"): self.graph.clearCurves() self.graph.newCurve('Data', self.fitModule._x, self.fitModule._y) self.graph.replot() return returnValue def estimate(self): self.setStatus("Estimate started") self.statusWidget.chi2Line.setText("") try: x = self.fitModule._x y = self.fitModule._y self.graph.clear() self.graph.addCurve(x, y, 'Data') self.fitModule.estimate() self.setStatus() self.parametersTable.fillTableFromFit(self.fitModule.paramlist) except: if DEBUG: raise text = "%s:%s" % (sys.exc_info()[0], sys.exc_info()[1]) msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText(text) msg.exec_() self.setStatus("Ready (after estimate error)") def setStatus(self, text=None): if text is None: text = "%s" % self.fitModule.getStatus() self.statusWidget.statusLine.setText(text) def startFit(self): #get parameters from table self.fitModule.paramlist = self.parametersTable.fillFitFromTable() try: values,chisq,sigma,niter,lastdeltachi = self.fitModule.startFit() self.setStatus() except: if DEBUG: raise text = "%s:%s" % (sys.exc_info()[0], sys.exc_info()[1]) msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText(text) msg.exec_() self.setStatus("Ready (after fit error)") return self.parametersTable.fillTableFromFit(self.fitModule.paramlist) self.statusWidget.chi2Line.setText("%f" % chisq) ddict = {} ddict['event'] = "FitFinished" ddict['x'] = self.fitModule._x ddict['y'] = self.fitModule._y ddict['yfit'] = self.evaluateDefinedFunction() self.sigSimpleFitSignal.emit(ddict) self.updateGraph() def updateGraph(self): #this is to be overwritten and for test purposes if self.graph is None: return ddict = self.fitModule.evaluateContributions() ddict['event'] = "FitFinished" ddict['x'] = self.fitModule._x ddict['y'] = self.fitModule._y #ddict['yfit'] = self.evaluateDefinedFunction() #ddict['background'] = self.fitModule._evaluateBackground() self.graph.clear() self.graph.addCurve(ddict['x'], ddict['y'], 'Data', replot=False) self.graph.addCurve(ddict['x'], ddict['yfit'], 'Fit', replot=False) self.graph.addCurve(ddict['x'], ddict['background'], 'Background', replot=False) contributions = ddict['contributions'] if len(contributions) > 1: background = ddict['background'] i = 0 for contribution in contributions: i += 1 self.graph.addCurve(ddict['x'], background + contribution, legend='Contribution %d' % i, replot=False) self.graph.replot() self.graph.show() def dismiss(self): self.close() def evaluateDefinedFunction(self, x=None): return self.fitModule.evaluateDefinedFunction(x) def evaluateContributions(self, x=None): return self.fitModule.evaluateContributions(x) def test(): import numpy #import DefaultFitFunctions as SpecfitFunctions from PyMca5.PyMca import SpecfitFunctions a=SpecfitFunctions.SpecfitFunctions() x = numpy.arange(1000).astype(numpy.float) p1 = numpy.array([1500,100.,50.0]) p2 = numpy.array([1500,700.,50.0]) y = a.gauss(p1, x) y = y + a.gauss(p2,x) + x * 5. if 0: fit = SimpleFitModule.SimpleFit() fit.importFunctions(SpecfitFunctions) fit.setFitFunction('Gaussians') #fit.setBackgroundFunction('Gaussians') #fit.setBackgroundFunction('Constant') fit.setData(x, y) w = SimpleFitGui(fit=fit) w.show() else: fit=None w = SimpleFitGui(fit=fit) w.setData(x, y, xmin=x[0], xmax=x[-1]) w.show() from PyMca5.PyMca import SimpleFitUserEstimatedFunctions fname = SimpleFitUserEstimatedFunctions.__file__ w.importFunctions(fname) w.setFitFunction('User Estimated Gaussians') return w if __name__=="__main__": DEBUG = 0 app = qt.QApplication([]) w = test() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/TextField.py0000644000276300001750000000550313136054446022347 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() DEBUG = 0 class TextField(qt.QWidget): def __init__(self,parent = None,name = None,fl = 0): qt.QWidget.__init__(self,parent) self.resize(373,44) try: self.setSizePolicy(qt.QSizePolicy(1,1,0,0,self.sizePolicy().hasHeightForWidth())) except: if DEBUG: print("TextField Bad Size policy") TextFieldLayout = qt.QHBoxLayout(self) Layout2 = qt.QHBoxLayout(None) Layout2.setContentsMargins(0, 0, 0, 0) Layout2.setSpacing(6) spacer = qt.QSpacerItem(20,20, qt.QSizePolicy.Expanding,qt.QSizePolicy.Minimum) Layout2.addItem(spacer) self.TextLabel = qt.QLabel(self) try: self.TextLabel.setSizePolicy(qt.QSizePolicy(7,1,0,0,self.TextLabel.sizePolicy().hasHeightForWidth())) except: if DEBUG: print("TextField Bad Size policy") self.TextLabel.setText(str("TextLabel")) Layout2.addWidget(self.TextLabel) spacer_2 = qt.QSpacerItem(20,20, qt.QSizePolicy.Expanding,qt.QSizePolicy.Minimum) Layout2.addItem(spacer_2) TextFieldLayout.addLayout(Layout2) PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/EntryField.py0000644000276300001750000000374313136054446022530 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() class EntryField(qt.QWidget): def __init__(self,parent = None,name = None,fl = 0): qt.QWidget.__init__(self,parent) Layout1 = qt.QHBoxLayout(self) self.TextLabel = qt.QLabel(self) self.TextLabel.setText("TextLabel") self.Entry = qt.QLineEdit(self) Layout1.addWidget(self.TextLabel) Layout1.addWidget(self.Entry) PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/__init__.py0000644000276300001750000000000013136054446022201 0ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/FitActionsGui.py0000644000276300001750000000632413136054446023171 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() def uic_load_pixmap_FitActionsGui(name): pix = qt.QPixmap() if QTVERSION < '4.0.0': m = qt.QMimeSourceFactory.defaultFactory().data(name) if m: qt.QImageDrag.decode(m,pix) return pix class FitActionsGui(qt.QWidget): def __init__(self,parent = None,name = None,fl = 0): qt.QWidget.__init__(self,parent) self.resize(234,53) FitActionsGUILayout = qt.QGridLayout(self) FitActionsGUILayout.setContentsMargins(11, 11, 11, 11) FitActionsGUILayout.setSpacing(6) Layout9 = qt.QHBoxLayout(None) Layout9.setContentsMargins(0, 0, 0, 0) Layout9.setSpacing(6) self.EstimateButton = qt.QPushButton(self) self.EstimateButton.setText("Estimate") Layout9.addWidget(self.EstimateButton) spacer = qt.QSpacerItem(20,20, qt.QSizePolicy.Expanding, qt.QSizePolicy.Minimum) Layout9.addItem(spacer) self.StartfitButton = qt.QPushButton(self) self.StartfitButton.setText("Start Fit") Layout9.addWidget(self.StartfitButton) spacer_2 = qt.QSpacerItem(20,20, qt.QSizePolicy.Expanding, qt.QSizePolicy.Minimum) Layout9.addItem(spacer_2) self.DismissButton = qt.QPushButton(self) self.DismissButton.setText("Dismiss") Layout9.addWidget(self.DismissButton) FitActionsGUILayout.addLayout(Layout9,0,0) if __name__ == "__main__": app = qt.QApplication([]) w = FitActionsGui() w.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/SimpleFitConfigurationGui.py0000644000276300001750000005457213136054446025562 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import traceback import os.path import numpy from . import SimpleFitControlWidget from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaIO import ConfigDict from PyMca5.PyMcaGui.io import PyMcaFileDialogs from PyMca5.PyMcaGui import PyMca_Icons as Icons from PyMca5 import PyMcaDirs #strip background handling from . import Parameters from PyMca5.PyMcaGui.math.StripBackgroundWidget import StripBackgroundDialog DEBUG = 0 class DummyWidget(qt.QWidget): def __init__(self, parent=None, text="Automatically estimated function"): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self.label = qt.QLabel(self) self.label.setAlignment(qt.Qt.AlignHCenter) self.label.setText(text) self.mainLayout.addWidget(qt.VerticalSpacer(self)) self.mainLayout.addWidget(self.label) self.mainLayout.addWidget(qt.VerticalSpacer(self)) self._configuration = {} def setConfiguration(self, ddict): self._configuration = ddict def getConfiguration(self): return self._configuration def configure(self, ddict=None): if ddict is None: return self.getConfiguration() else: return self.setConfiguration(ddict) class DefaultParametersWidget(qt.QWidget): def __init__(self, parent=None, fit=None, background=False): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self.parametersWidget = Parameters.Parameters(self, allowBackgroundAdd=True) self.mainLayout.addWidget(self.parametersWidget) self.simpleFitInstance = fit self.background = background self._buffer = {} def setConfiguration(self, ddict): if self.simpleFitInstance is None: self._buffer = ddict return if ddict['configuration']['estimation'] is None: #initialize with the default parameters parameters = ddict['parameters'] if type(parameters) == type(""): parameters = [parameters] xmin = self.simpleFitInstance._x.min() xmax = self.simpleFitInstance._x.max() if self.background: group = 0 else: group = 1 paramlist = [] for i in range(len(parameters)): pname = parameters[i]+"_1" paramdict = {'name':pname, 'estimation':0, 'group':group, 'code':'FREE', 'cons1':0, 'cons2':0, 'fitresult':0.0, 'sigma':0.0, 'xmin':xmin, 'xmax':xmax} paramlist.append(paramdict) else: parameters = ddict['configuration']['estimation']['parameters'] if type(parameters) == type(""): parameters = [parameters] paramlist = [] for parameter in parameters: paramdict = ddict['configuration']['estimation'][parameter] paramlist.append(paramdict) self.parametersWidget.fillTableFromFit(paramlist) def getConfiguration(self): if self.simpleFitInstance is None: return self._buffer paramlist = self.parametersWidget.fillFitFromTable() ddict = {} ddict['configuration']={} ddict['configuration']['estimation'] = {} ddict['configuration']['estimation']['parameters'] = [] for param in paramlist: name = param['name'] ddict['configuration']['estimation']['parameters'].append(name) ddict['configuration']['estimation'][name] = {} for key in param.keys(): if key in ['xmax', 'xmin']: ddict['configuration']['estimation'][name][key] = float(param[key]) else: ddict['configuration']['estimation'][name][key] = param[key] return ddict def configure(self, ddict=None): if ddict is None: return self.getConfiguration() else: return self.setConfiguration(ddict) class SimpleFitConfigurationGui(qt.QDialog): def __init__(self, parent = None, fit=None): qt.QDialog.__init__(self, parent) self.setWindowTitle("PyMca - Simple Fit Configuration") self.setWindowIcon(qt.QIcon(qt.QPixmap(Icons.IconDict["gioconda16"]))) self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(2, 2, 2, 2) self.mainLayout.setSpacing(2) self.tabWidget = qt.QTabWidget(self) self.fitControlWidget = SimpleFitControlWidget.SimpleFitControlWidget(self) self.fitControlWidget.sigFitControlSignal.connect(self._fitControlSlot) self.tabWidget.insertTab(0, self.fitControlWidget, "FIT") self.fitFunctionWidgetStack = qt.QWidget(self) self.fitFunctionWidgetStack.mainLayout = qt.QStackedLayout(self.fitFunctionWidgetStack) self.fitFunctionWidgetStack.mainLayout.setContentsMargins(0, 0, 0, 0) self.fitFunctionWidgetStack.mainLayout.setSpacing(0) self.tabWidget.insertTab(1, self.fitFunctionWidgetStack, "FUNCTION") self.backgroundWidgetStack = qt.QWidget(self) self.backgroundWidgetStack.mainLayout = qt.QStackedLayout(self.backgroundWidgetStack) self.backgroundWidgetStack.mainLayout.setContentsMargins(0, 0, 0, 0) self.backgroundWidgetStack.mainLayout.setSpacing(0) self.tabWidget.insertTab(2, self.backgroundWidgetStack, "BACKGROUND") self.mainLayout.addWidget(self.tabWidget) self._stripDialog = None self.buildAndConnectActions() self.mainLayout.addWidget(qt.VerticalSpacer(self)) self._fitFunctionWidgets = {} self._backgroundWidgets = {} self.setSimpleFitInstance(fit) #input output directory self.initDir = None def _fitControlSlot(self, ddict): if DEBUG: print("FitControlSignal", ddict) event = ddict['event'] if event == "stripSetupCalled": if self._stripDialog is None: self._stripDialog = StripBackgroundDialog() self._stripDialog.setWindowIcon(qt.QIcon(\ qt.QPixmap(Icons.IconDict["gioconda16"]))) pars = self.__getConfiguration("FIT") if self.simpleFitInstance is None: return xmin = pars['xmin'] xmax = pars['xmax'] idx = (self.simpleFitInstance._x0 >= xmin) & (self.simpleFitInstance._x0 <= xmax) x = self.simpleFitInstance._x0[idx] * 1 y = self.simpleFitInstance._y0[idx] * 1 self._stripDialog.setParameters(pars) self._stripDialog.setData(x, y) ret = self._stripDialog.exec_() if not ret: return pars = self._stripDialog.getParameters() self.fitControlWidget.setConfiguration(pars) if event == "fitFunctionChanged": functionName = ddict['fit_function'] if functionName in [None, "None", "NONE"]: functionName = "None" instance = self._fitFunctionWidgets.get(functionName, None) if instance is None: instance = qt.QWidget(self.fitFunctionWidgetStack) self.fitFunctionWidgetStack.mainLayout.addWidget(instance) self._fitFunctionWidgets[functionName] = instance self.fitFunctionWidgetStack.mainLayout.setCurrentWidget(instance) return fun = self.simpleFitInstance._fitConfiguration['functions'][functionName] instance = self._fitFunctionWidgets.get(functionName, None) if instance is None: widget = fun.get('widget', None) if widget is None: instance = self._buildDefaultWidget(functionName, background=False) else: instance = widget(self.fitFunctionWidgetStack) self.fitFunctionWidgetStack.mainLayout.addWidget(instance) self._fitFunctionWidgets[functionName] = instance if hasattr(instance, 'configure'): configureMethod = fun['configure'] if configureMethod is not None: #make sure it is up-to-date fun['configuration'].update(configureMethod()) instance.configure(fun) self.fitFunctionWidgetStack.mainLayout.setCurrentWidget(instance) if event == "backgroundFunctionChanged": functionName = ddict['background_function'] if functionName in [None, "None", "NONE"]: functionName = "None" instance = self._backgroundWidgets.get(functionName, None) if instance is None: instance = qt.QWidget(self.backgroundWidgetStack) self.backgroundWidgetStack.mainLayout.addWidget(instance) self._backgroundWidgets[functionName] = instance self.backgroundWidgetStack.mainLayout.setCurrentWidget(instance) return fun = self.simpleFitInstance._fitConfiguration['functions'][functionName] instance = self._backgroundWidgets.get(functionName, None) if instance is None: widget = fun.get('widget', None) if widget is None: instance = self._buildDefaultWidget(functionName, background=True) else: instance = widget(self.backgroundWidgetStack) self.backgroundWidgetStack.mainLayout.addWidget(instance) self._backgroundWidgets[functionName] = instance if hasattr(instance, 'configure'): configureMethod = fun['configure'] if configureMethod is not None: #make sure it is up-to-date fun['configuration'].update(configureMethod()) instance.configure(fun) self.backgroundWidgetStack.mainLayout.setCurrentWidget(instance) def _buildDefaultWidget(self, functionName, background=False): functionDescription = self.simpleFitInstance._fitConfiguration['functions']\ [functionName] #if we here that means the function does not provide a widget #if the function does not provide an authomatic estimate #the user has to fill the default parameters in the default table estimate = functionDescription['estimate'] if estimate is None: if background: widget = DefaultParametersWidget(self.backgroundWidgetStack, self.simpleFitInstance, background=background) widget.setConfiguration(functionDescription) self.backgroundWidgetStack.mainLayout.addWidget(widget) else: widget = DefaultParametersWidget(self.fitFunctionWidgetStack, self.simpleFitInstance, background=background) widget.setConfiguration(functionDescription) self.fitFunctionWidgetStack.mainLayout.addWidget(widget) else: text = "%s is automatically configured and estimated" % functionName if background: widget = DummyWidget(self.backgroundWidgetStack, text=text) self.backgroundWidgetStack.mainLayout.addWidget(widget) else: widget = DummyWidget(self.fitFunctionWidgetStack, text=text) self.fitFunctionWidgetStack.mainLayout.addWidget(widget) return widget def buildAndConnectActions(self): buts= qt.QGroupBox(self) buts.layout = qt.QHBoxLayout(buts) load= qt.QPushButton(buts) load.setAutoDefault(False) load.setText("Load") save= qt.QPushButton(buts) save.setAutoDefault(False) save.setText("Save") reject= qt.QPushButton(buts) reject.setAutoDefault(False) reject.setText("Cancel") accept= qt.QPushButton(buts) accept.setAutoDefault(False) accept.setText("OK") buts.layout.addWidget(load) buts.layout.addWidget(save) buts.layout.addWidget(reject) buts.layout.addWidget(accept) self.mainLayout.addWidget(buts) load.clicked.connect(self.load) save.clicked.connect(self.save) reject.clicked.connect(self.reject) accept.clicked.connect(self.accept) def setSimpleFitInstance(self, fitInstance): self.simpleFitInstance = fitInstance if self.simpleFitInstance is not None: self.setConfiguration(self.simpleFitInstance.getConfiguration()) def setConfiguration(self, ddict): currentConfig = self.simpleFitInstance.getConfiguration() currentFiles = [] for functionName in currentConfig['functions'].keys(): fname = currentConfig['functions'][functionName]['file'] if fname not in currentFiles: currentFiles.append(fname) if 'functions' in ddict: #make sure new modules are imported for functionName in ddict['functions'].keys(): fileName = ddict['functions'][functionName]['file'] if fileName not in currentFiles: try: if DEBUG: print("Adding file %s" % fileName) self.simpleFitInstance.importFunctions(fileName) currentFiles.append(fileName) except: if "library.zip" in fileName: if DEBUG: print("Assuming PyMca supplied fit function") continue print("Cannot import file %s" % fileName) print(sys.exc_info()[1]) if 'fit' in ddict: self.fitControlWidget.setConfiguration(ddict['fit']) fitFunction = ddict['fit']['fit_function'] background = ddict['fit']['background_function'] if fitFunction not in self._fitFunctionWidgets.keys(): self._fitControlSlot({'event':'fitFunctionChanged', 'fit_function':fitFunction}) if background not in self._backgroundWidgets.keys(): self._fitControlSlot({'event':'backgroundFunctionChanged', 'background_function':background}) #fit function fname = ddict['fit']['fit_function'] widget = self._fitFunctionWidgets[fname] if fname not in [None, "None", "NONE"]: if fname in ddict['functions']: #if currentConfig['functions'][fname]['widget'] is not None: widget.setConfiguration(ddict['functions'][fname]) self.fitFunctionWidgetStack.mainLayout.setCurrentWidget(widget) #background function fname = ddict['fit']['background_function'] widget = self._backgroundWidgets[fname] if fname not in [None, "None", "NONE"]: if fname in ddict['functions']: #if currentConfig['functions'][fname]['widget'] is not None: widget.setConfiguration(ddict['functions'][fname]) self.backgroundWidgetStack.mainLayout.setCurrentWidget(widget) def getConfiguration(self): oldConfiguration = self.simpleFitInstance.getConfiguration() ddict = {} for name in ['fit']: ddict[name] = self.__getConfiguration(name) #fit function fname = ddict['fit']['fit_function'] ddict['functions'] = {} widget = self._fitFunctionWidgets[fname] if fname not in [None, "None", "NONE"]: ddict['functions'][fname]={} ddict['functions'][fname]['file'] = \ oldConfiguration['functions'][fname]['file'] ddict['functions'][fname]['configuration'] =\ oldConfiguration['functions'][fname]['configuration'] newConfig = widget.getConfiguration() if 'configuration' in newConfig: ddict['functions'][fname]['configuration'].update(\ newConfig['configuration']) else: ddict['functions'][fname]['configuration'].update(newConfig) #background function fname = ddict['fit']['background_function'] widget = self._backgroundWidgets[fname] if fname not in [None, "None", "NONE"]: ddict['functions'][fname]={} ddict['functions'][fname]['file'] = \ oldConfiguration['functions'][fname]['file'] ddict['functions'][fname]['configuration'] =\ oldConfiguration['functions'][fname]['configuration'] newConfig = widget.getConfiguration() if 'configuration' in newConfig: ddict['functions'][fname]['configuration'].update(\ newConfig['configuration']) else: ddict['functions'][fname]['configuration'].update(newConfig) return ddict def __getConfiguration(self, name): if name in ['fit', 'FIT']: return self.fitControlWidget.getConfiguration() def load(self): filetypelist = ["Fit configuration files (*.cfg)"] message = "Choose fit configuration file" initdir = os.path.curdir if self.initDir is not None: if os.path.isdir(self.initDir): initdir = self.initDir fileList = PyMcaFileDialogs.getFileList(parent=self, filetypelist=filetypelist, message=message, currentdir=initdir, mode="OPEN", getfilter=False, single=True, currentfilter=None, native=None) if len(fileList): filename = fileList[0] self.loadConfiguration(filename) self.initDir = os.path.dirname(filename) return def save(self): if self.initDir is None: self.initDir = PyMcaDirs.outputDir filetypelist = ["Fit configuration files (*.cfg)"] message = "Enter ouput fit configuration file" initdir = self.initDir fileList = PyMcaFileDialogs.getFileList(parent=self, filetypelist=filetypelist, message=message, currentdir=initdir, mode="SAVE", getfilter=False, single=True, currentfilter=None, native=None) if len(fileList): filename = fileList[0] self.saveConfiguration(filename) self.initDir = os.path.dirname(filename) return def loadConfiguration(self, filename): cfg= ConfigDict.ConfigDict() try: cfg.read(filename) self.initDir = os.path.dirname(filename) self.setConfiguration(cfg) except: if DEBUG: raise msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) txt = "ERROR while loading parameters from\n%s\n" % filename msg.setInformativeText(str(sys.exc_info()[1])) msg.setDetailedText(traceback.format_exc()) msg.exec_() def saveConfiguration(self, filename): cfg = ConfigDict.ConfigDict(self.getConfiguration()) if DEBUG: cfg.write(filename) self.initDir = os.path.dirname(filename) else: try: cfg.write(filename) self.initDir = os.path.dirname(filename) except: qt.QMessageBox.critical(self, "Save Parameters", "ERROR while saving parameters to\n%s"%filename, qt.QMessageBox.Ok, qt.QMessageBox.NoButton, qt.QMessageBox.NoButton) def test(): app = qt.QApplication(sys.argv) app.lastWindowClosed.conenct(app.quit) wid = SimpleFitConfigurationGui() ddict = {} ddict['fit'] = {} ddict['fit']['use_limits'] = 1 ddict['fit']['xmin'] = 1 ddict['fit']['xmax'] = 1024 wid.setConfiguration(ddict) wid.exec_() print(wid.getConfiguration()) sys.exit() if __name__=="__main__": DEBUG = 1 test() PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/FitStatusGui.py0000644000276300001750000000565113136054446023056 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() def uic_load_pixmap_FitActionsGui(name): pix = qt.QPixmap() if QTVERSION < '4.0.0': m = qt.QMimeSourceFactory.defaultFactory().data(name) if m: qt.QImageDrag.decode(m,pix) return pix class FitStatusGui(qt.QWidget): def __init__(self,parent = None,name = None,fl = 0): qt.QWidget.__init__(self,parent) self.resize(535,47) FitStatusGUILayout = qt.QHBoxLayout(self) FitStatusGUILayout.setContentsMargins(11, 11, 11, 11) FitStatusGUILayout.setSpacing(6) self.StatusLabel = qt.QLabel(self) self.StatusLabel.setText("Status:") FitStatusGUILayout.addWidget(self.StatusLabel) self.StatusLine = qt.QLineEdit(self) self.StatusLine.setText("Ready") self.StatusLine.setReadOnly(1) FitStatusGUILayout.addWidget(self.StatusLine) self.ChisqLabel = qt.QLabel(self) self.ChisqLabel.setText("Chisq:") FitStatusGUILayout.addWidget(self.ChisqLabel) self.ChisqLine = qt.QLineEdit(self) #self.ChisqLine.setSizePolicy(QSizePolicy(1,0,0,0,self.ChisqLine.sizePolicy().hasHeightForWidth())) self.ChisqLine.setMaximumSize(qt.QSize(16000,32767)) self.ChisqLine.setText("") self.ChisqLine.setReadOnly(1) FitStatusGUILayout.addWidget(self.ChisqLine) PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/RateLawWindow.py0000644000276300001750000001565513136054446023217 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import sys import numpy import traceback import copy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from PyMca5.PyMcaGui import PlotWindow from PyMca5.PyMcaMath.fitting import RateLaw DEBUG = 0 class RateLawWindow(qt.QMainWindow): def __init__(self, parent=None, backend=None): super(RateLawWindow, self).__init__(parent) self.setWindowTitle("RateLaw Window") if parent is not None: # behave as a widget self.setWindowFlags(qt.Qt.Widget) self.mdiArea = RateLawMdiArea(self, backend=backend) self.setCentralWidget(self.mdiArea) # connect #self.mdiArea.sigRateLawMdiAreaSignal.connect(self._update) def setSpectrum(self, x, y, **kw): self.mdiArea.setSpectrum(x, y, **kw) class RateLawMdiArea(qt.QMdiArea): sigRateLawMdiAreaSignal = qt.pyqtSignal(object) def __init__(self, parent=None, backend=None): super(RateLawMdiArea, self).__init__(parent) self._windowDict = {} self._windowList = ["Original", "Zero", "First", "Second"] self._windowList.reverse() for title in self._windowList: plot = PlotWindow.PlotWindow(self, position=True, backend=backend) plot.setWindowTitle(title) self.addSubWindow(plot) self._windowDict[title] = plot plot.setDataMargins(0, 0, 0.025, 0.025) self._windowList.reverse() self.setActivationOrder(qt.QMdiArea.StackingOrder) self.tileSubWindows() def setSpectrum(self, x, y, legend=None, sigmay=None, xlabel=None, ylabel=None): for key in self._windowDict: self._windowDict[key].clearCurves() self._windowDict["Original"].addCurve(x, y, legend=legend, xlabel=xlabel, ylabel=ylabel, yerror=sigmay, symbol="o") self.update() def update(self): plot = self._windowDict["Original"] activeCurve = plot.getActiveCurve() if not len(activeCurve): return [x, y, legend, info] = activeCurve[:4] xmin, xmax = plot.getGraphXLimits() ymin, ymax = plot.getGraphYLimits() result = RateLaw.rateLaw(x, y, sigmay=None) labels = ["Zero", "First", "Second"] for key in labels: plot = self._windowDict[key] workingResult = result[key.lower()] if workingResult is None: # no fit was performed plot.clear() continue intercept = workingResult["intercept"] slope = workingResult["slope"] sigma_intercept = workingResult["sigma_intercept"] sigma_slope = workingResult["sigma_slope"] r_value = workingResult["r_value"] stderr = workingResult["stderr"] xw = workingResult["x"] yw = workingResult["y"] xlabel = info["ylabel"] ylabel = info["ylabel"] title = "r = %.5f slope = %.3E +/- %.2E" % (r_value, slope, sigma_slope) fit_legend = "%.3g * x + %.3g" % (slope, intercept) if key == "First": ylabel = "log(%s)" % ylabel elif key == "Second": ylabel = "1 / %s" % ylabel plot.addCurve(xw, yw, legend="Data", replace=True, replot=False, symbol="o", linestyle=" ", ylabel=ylabel) plot.setGraphTitle(title) plot.addCurve(xw, intercept + slope * xw, legend=fit_legend, replace=False, replot=True, symbol=None, color="red", ylabel=ylabel) plot.resetZoom() self.sigRateLawMdiAreaSignal.emit(result) def main(argv=None): if argv is None: argv = sys.argv if len(argv) < 2: # first order, k = 4.820e-04 x = [0, 600, 1200, 1800, 2400, 3000, 3600] y = [0.0365, 0.0274, 0.0206, 0.0157, 0.0117, 0.00860, 0.00640] order = "First" slope = "0.000482" print("Expected order: First") print("Expected slope: 0.000482") sigmay = None # second order, k = 1.3e-02 #x = [0, 900, 1800, 3600, 6000] #y = [1.72e-2, 1.43e-2, 1.23e-2, 9.52e-3, 7.3e-3] #order = "second" #slope = "0.013" elif len(argv) > 1: # assume we have got a two column csv file data = numpy.loadtxt(argv[1]) x = data[:, 0] y = data[:, 1] if data.shape[1] > 2: sigmay = data[:, 2] else: sigmay = None else: print("RateLaw [csv_file_name]") return w = RateLawWindow() w.show() w.setSpectrum(x, y, sigmay = sigmay) return w if __name__ == "__main__": app = qt.QApplication([]) w = main() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/SimpleFitBatchGui.py0000644000276300001750000002624013136054446023763 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import IconDict from PyMca5 import PyMcaDirs from PyMca5.PyMcaGui import PyMcaFileDialogs PyMcaDirs.nativeFileDialogs = False QTVERSION = qt.qVersion() HDF5SUPPORT = True from PyMca5.PyMcaGui.pymca import QDataSource class SimpleFitBatchParameters(qt.QWidget): def __init__(self, parent=None, file_browser=True): qt.QWidget.__init__(self, parent) self.setWindowTitle("PyMca Simple Fit Batch GUI") self.setWindowIcon(qt.QIcon(qt.QPixmap(IconDict['gioconda16']))) self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(2, 2, 2, 2) self.mainLayout.setSpacing(2) self._inputDir = None self._outputDir = None self._lastInputFileFilter = None self._fileList = [] self._build(file_browser) def _build(self, file_browser): row = 0 if file_browser: self._listLabel = qt.QLabel(self) self._listLabel.setText("Input File list:") self._listView = qt.QTextEdit(self) self._listView.setMaximumHeight(30*self._listLabel.sizeHint().height()) self._listButton = qt.QPushButton(self) self._listButton.setText('Browse') self._listButton.setAutoDefault(False) self._listButton.clicked.connect(self.browseList) self.mainLayout.addWidget(self._listLabel, 0, 0, qt.Qt.AlignTop|qt.Qt.AlignLeft) self.mainLayout.addWidget(self._listView, 0, 1) self.mainLayout.addWidget(self._listButton, 0, 2, qt.Qt.AlignTop|qt.Qt.AlignRight) row += 1 #options labels = ['Fit Configuration File:', 'Output Directory:'] row0 = 0 for label in labels: l = qt.QLabel(self) l.setText(label) line = qt.QLineEdit(self) b = qt.QPushButton(self) b.setText('Browse') self.mainLayout.addWidget(l, row+row0, 0) self.mainLayout.addWidget(line, row+row0, 1) self.mainLayout.addWidget(b, row+row0, 2) if row0 == 0: self._fitConfigurationLine = line self._fitConfigurationButton = b else: self._outputDirectoryLine = line self._outputDirectoryButton = b row0 += 1 row += row0 self._outputDirectoryButton.clicked.connect( \ self.browseOutputDirectory) self._fitConfigurationButton.clicked.connect( \ self.browseFitConfiguration) def browseList(self): if self._inputDir is None: self._inputDir = PyMcaDirs.inputDir elif os.path.exists(self._inputDir): PyMcaDirs.inputDir = self._inputDir filetypes = ["Mca Files (*.mca)", "Edf Files (*.edf)"] if HDF5SUPPORT: filetypes.append("HDF5 Files(*.nxs *.h5 *.hdf)") filetypes.append("SPEC Files (*.spec)") filetypes.append("SPEC Files (*.dat)") filetypes.append("All files (*)") message = "Open a set of files" mode = "OPEN" getfilter = True currentfilter = self._lastInputFileFilter fileList, fileFilter = PyMcaFileDialogs.getFileList(self, filetypelist=filetypes, message=message, mode=mode, getfilter=getfilter, single=False, currentfilter=currentfilter) if not len(fileList): return else: self._lastInputFileFilter = fileFilter self._inputDir = os.path.dirname(fileList[0]) if (QTVERSION < '4.2.0') or (not len(self._fileList)): self.setFileList(fileList) self.raise_() return msg = qt.QMessageBox() msg.setWindowTitle("Append or replace") msg.setIcon(qt.QMessageBox.Information) msg.setText("Do you want to delete current file list?") msg.setStandardButtons(qt.QMessageBox.Yes|qt.QMessageBox.No) answer=msg.exec_() if answer == qt.QMessageBox.Yes: append = False else: append = True self.setFileList(fileList, append=append) self.raise_() def browseFitConfiguration(self): if self._inputDir is None: self._inputDir = PyMcaDirs.inputDir elif os.path.exists(self._inputDir): PyMcaDirs.inputDir = self._inputDir filetypes = ["Configuration Files (*.cfg)"] if self._inputDir is None: self._inputDir = PyMcaDirs.inputDir elif os.path.exists(self._inputDir): PyMcaDirs.inputDir = self._inputDir message = "Select a Simple Fit Configuration File" mode = "OPEN" getfilter = False currentfilter = None #self._lastInputFileFilter fileList = PyMcaFileDialogs.getFileList(self, filetypelist=filetypes, message=message, mode=mode, getfilter=getfilter, single=True, currentfilter=currentfilter) if not len(fileList): return self._inputDir = os.path.dirname(fileList[0]) self.setFitConfigurationFile(fileList[0]) self.raise_() def browseOutputDirectory(self): if self._outputDir is None: self._outputDir = PyMcaDirs.outputDir elif os.path.exists(self._outputDir): PyMcaDirs.inputDir = self._outputDir message = "Select a Simple Fit Configuration File" mode = "OPEN" fileList = PyMcaFileDialogs.getExistingDirectory(self, message=message, mode=mode) if not len(fileList): return if type(fileList) != type([]): fileList = [fileList] self._outputDir = os.path.dirname(fileList[0]) self.setOutputDirectory(fileList[0]) self.raise_() def setFileList(self, filelist, append=False): if filelist is None: filelist = [] if not append: self._fileList = [] self._listView.clear() text = "" for ffile in self._fileList: text += ffile + "\n" for ffile in filelist: if ffile not in self._fileList: self._fileList.append(ffile) text += ffile + "\n" self._listView.insertPlainText(text) sourceType = QDataSource.getSourceType(self._fileList[0]) dataSourceClass = QDataSource.source_types[sourceType] dataSourceWidget = QDataSource.source_widgets[sourceType] self._dataSource = dataSourceClass(self._fileList[0]) self._dataWidget = dataSourceWidget() self._dataWidget.setDataSource(self._dataSource) self._dataWidget.sigAddSelection.connect(self.printSelection) self._dataWidget.show() def setFitConfigurationFile(self, fname): self._fitConfigurationLine.setText(fname) def setOutputDirectory(self, fname): self._outputDirectoryLine.setText(fname) def printSelection(self, ddict): print("Received = ", ddict) def getParameters(self): ddict = {} ddict['selection'] = {} ddict['selection']['x'] = None ddict['selection']['y'] = None ddict['selection']['m'] = None ddict['filelist'] = self._fileList ddict['outputdir'] = str(self._outputDirectoryLine.text()) ddict['fitconfiguration'] = str(self._fitConfigurationLine.text()) return ddict class SimpleFitBatchGui(qt.QWidget): def __init__(self, parent=None, stack=False, actions=True): qt.QWidget.__init__(self, parent) if stack in [None, False]: file_browser = False else: file_browser = True self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(2, 2, 2, 2) self.mainLayout.setSpacing(2) self.parametersWidget = SimpleFitBatchParameters(self) self.getParameters = self.parametersWidget.getParameters self.mainLayout.addWidget(self.parametersWidget) if actions: self.actionsBox = qt.QWidget(self) self.actionsBox.mainLayout = qt.QHBoxLayout(self.actionsBox) self.actionsBox.mainLayout.setContentsMargins(2, 2, 2, 2) self.actionsBox.mainLayout.setSpacing(2) self.closeButton = qt.QPushButton(self.actionsBox) self.closeButton.setText("Close") self.startButton = qt.QPushButton(self.actionsBox) self.startButton.setText("Start") self.actionsBox.mainLayout.addWidget(qt.HorizontalSpacer(self.actionsBox)) self.actionsBox.mainLayout.addWidget(self.closeButton) self.actionsBox.mainLayout.addWidget(qt.HorizontalSpacer(self.actionsBox)) self.actionsBox.mainLayout.addWidget(self.startButton) self.actionsBox.mainLayout.addWidget(qt.HorizontalSpacer(self.actionsBox)) self.mainLayout.addWidget(self.actionsBox) self.closeButton.clicked.connect(self.close) if __name__ == "__main__": app = qt.QApplication([]) w = SimpleFitBatchGui() w.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/FitConfigGui.py0000644000276300001750000001146313136054446022776 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() def uic_load_pixmap_FitConfigGui(name): pix = qt.QPixmap() m = qt.QMimeSourceFactory.defaultFactory().data(name) if m: qt.QImageDrag.decode(m,pix) return pix class FitConfigGui(qt.QWidget): def __init__(self,parent = None,name = None,fl = 0): qt.QWidget.__init__(self,parent) self.setWindowTitle(str("FitConfigGUI")) FitConfigGUILayout = qt.QHBoxLayout(self) FitConfigGUILayout.setContentsMargins(11, 11, 11, 11) FitConfigGUILayout.setSpacing(6) Layout9 = qt.QHBoxLayout(None) Layout9.setContentsMargins(0, 0, 0, 0) Layout9.setSpacing(6) Layout2 = qt.QGridLayout(None) Layout2.setContentsMargins(0, 0, 0, 0) Layout2.setSpacing(6) self.BkgComBox = qt.QComboBox(self) self.BkgComBox.addItem(str("Add Background")) Layout2.addWidget(self.BkgComBox,1,1) self.BkgLabel = qt.QLabel(self) self.BkgLabel.setText(str("Background")) Layout2.addWidget(self.BkgLabel,1,0) self.FunComBox = qt.QComboBox(self) self.FunComBox.addItem(str("Add Function(s)")) Layout2.addWidget(self.FunComBox,0,1) self.FunLabel = qt.QLabel(self) self.FunLabel.setText(str("Function")) Layout2.addWidget(self.FunLabel,0,0) Layout9.addLayout(Layout2) spacer = qt.QSpacerItem(20,20, qt.QSizePolicy.Expanding, qt.QSizePolicy.Minimum) Layout9.addItem(spacer) Layout6 = qt.QGridLayout(None) Layout6.setContentsMargins(0, 0, 0, 0) Layout6.setSpacing(6) self.WeightCheckBox = qt.QCheckBox(self) self.WeightCheckBox.setText(str("Weight")) Layout6.addWidget(self.WeightCheckBox,0,0) self.MCACheckBox = qt.QCheckBox(self) self.MCACheckBox.setText(str("MCA Mode")) Layout6.addWidget(self.MCACheckBox,1,0) Layout9.addLayout(Layout6) Layout6_2 = qt.QGridLayout(None) Layout6_2.setContentsMargins(0, 0, 0, 0) Layout6_2.setSpacing(6) self.AutoFWHMCheckBox = qt.QCheckBox(self) self.AutoFWHMCheckBox.setText(str("Auto FWHM")) Layout6_2.addWidget(self.AutoFWHMCheckBox,0,0) self.AutoScalingCheckBox = qt.QCheckBox(self) self.AutoScalingCheckBox.setText(str("Auto Scaling")) Layout6_2.addWidget(self.AutoScalingCheckBox,1,0) Layout9.addLayout(Layout6_2) spacer_2 = qt.QSpacerItem(20,20,qt.QSizePolicy.Expanding, qt.QSizePolicy.Minimum) Layout9.addItem(spacer_2) Layout5 = qt.QGridLayout(None) Layout5.setContentsMargins(0, 0, 0, 0) Layout5.setSpacing(6) self.PrintPushButton = qt.QPushButton(self) self.PrintPushButton.setText(str("Print")) Layout5.addWidget(self.PrintPushButton,1,0) self.ConfigureButton = qt.QPushButton(self) self.ConfigureButton.setText(str("Configure")) Layout5.addWidget(self.ConfigureButton,0,0) Layout9.addLayout(Layout5) FitConfigGUILayout.addLayout(Layout9) if __name__ == "__main__": app = qt.QApplication([]) w = FitConfigGui() w.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaGui/math/fitting/SimpleFitControlWidget.py0000644000276300001750000005636213136054446025071 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from PyMca5.PyMcaGui import PyMcaQt as qt QTVERSION = qt.qVersion() class FitFunctionDefinition(qt.QGroupBox): sigFitFunctionDefinitionSignal = qt.pyqtSignal(object) def __init__(self, parent=None): qt.QGroupBox.__init__(self, parent) self.setTitle("Function Definition") self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(2, 2, 2, 2) self.mainLayout.setSpacing(2) row = 0 #actual fit function self.fitFunctionCheckBox = qt.QCheckBox(self) self.fitFunctionCheckBox.setText("Fit Function to be used") self.fitFunctionCombo = qt.QComboBox(self) self.fitFunctionCombo.addItem(str("None")) self.fitFunctionCombo.activated[int].connect( \ self._fitFunctionComboActivated) self.fitFunctionSetupButton = qt.QPushButton(self) self.fitFunctionSetupButton.setText('SETUP') self.fitFunctionSetupButton.setAutoDefault(False) self.fitFunctionSetupButton.hide() self.mainLayout.addWidget(self.fitFunctionCheckBox, row, 0) self.mainLayout.addWidget(qt.HorizontalSpacer(self), row, 1) self.mainLayout.addWidget(self.fitFunctionSetupButton, row, 2) self.mainLayout.addWidget(self.fitFunctionCombo, row, 3) row += 1 #background self.backgroundCheckBox = qt.QCheckBox(self) self.backgroundCheckBox.setText("Background function") self.backgroundCombo = qt.QComboBox(self) self.backgroundCombo.addItem(str("None")) self.backgroundCombo.activated[int].connect( \ self._backgroundComboActivated) self.backgroundSetupButton = qt.QPushButton(self) self.backgroundSetupButton.setText('SETUP') self.backgroundSetupButton.setAutoDefault(False) self.backgroundSetupButton.hide() self.mainLayout.addWidget(self.backgroundCheckBox, row, 0) self.mainLayout.addWidget(qt.HorizontalSpacer(self), row, 1) self.mainLayout.addWidget(self.backgroundSetupButton, row, 2) self.mainLayout.addWidget(self.backgroundCombo, row, 3) row += 1 #stripping self.stripCheckBox = qt.QCheckBox(self) self.stripCheckBox.setText("Non-analytical (or estimation) background algorithm") self.stripCombo = qt.QComboBox(self) self.stripCombo.addItem(str("Strip")) self.stripCombo.addItem(str("SNIP")) self.stripSetupButton = qt.QPushButton(self) self.stripSetupButton.setText('SETUP') self.stripSetupButton.setAutoDefault(False) self.stripCombo.activated[int].connect(self._stripComboActivated) self.mainLayout.addWidget(self.stripCheckBox, row, 0) self.mainLayout.addWidget(qt.HorizontalSpacer(self), row, 1) self.mainLayout.addWidget(self.stripSetupButton, row, 2) self.mainLayout.addWidget(self.stripCombo, row, 3) row += 1 self.snipWidthLabel = qt.QLabel(self) self.snipWidthLabel.setText(str("SNIP Background Width")) self.snipWidthSpin = qt.QSpinBox(self) self.snipWidthSpin.setMinimum(1) self.snipWidthSpin.setMaximum(300) self.snipWidthSpin.setValue(10) self.mainLayout.addWidget(self.snipWidthLabel, row, 0) self.mainLayout.addWidget(self.snipWidthSpin, row, 3) row += 1 self.stripWidthLabel = qt.QLabel(self) self.stripWidthLabel.setText(str("Strip Background Width")) self.stripWidthSpin = qt.QSpinBox(self) self.stripWidthSpin.setMinimum(1) self.stripWidthSpin.setMaximum(100) self.stripWidthSpin.setValue(4) self.mainLayout.addWidget(self.stripWidthLabel, row, 0) self.mainLayout.addWidget(self.stripWidthSpin, row, 3) row += 1 self.stripIterLabel = qt.QLabel(self) self.stripIterLabel.setText(str("Strip Background Iterations")) self.stripIterSpin = qt.QSpinBox(self) self.stripIterSpin.setMinimum(0) self.stripIterSpin.setMaximum(100000) self.stripIterSpin.setValue(5000) self.mainLayout.addWidget(self.stripIterLabel, row, 0) self.mainLayout.addWidget(self.stripIterSpin, row, 3) row += 1 self.stripFilterLabel = qt.QLabel(self) text = str("Strip Background Smoothing Width (Savitsky-Golay)") self.stripFilterLabel.setText(text) self.stripFilterSpin = qt.QSpinBox(self) self.stripFilterSpin.setMinimum(0) self.stripFilterSpin.setMaximum(40) self.stripFilterSpin.setSingleStep(2) self.mainLayout.addWidget(self.stripFilterLabel, row, 0) self.mainLayout.addWidget(self.stripFilterSpin, row, 3) row += 1 #anchors self.anchorsContainer = qt.QWidget(self) anchorsContainerLayout = qt.QHBoxLayout(self.anchorsContainer) anchorsContainerLayout.setContentsMargins(2, 2, 2, 2) anchorsContainerLayout.setSpacing(2) self.stripAnchorsCheckBox = qt.QCheckBox(self.anchorsContainer) self.stripAnchorsCheckBox.setText(str("Strip Background use Anchors")) anchorsContainerLayout.addWidget(self.stripAnchorsCheckBox) self.stripAnchorsList = [] for i in range(4): anchor = qt.QLineEdit(self.anchorsContainer) anchor._v = qt.QDoubleValidator(anchor) anchor.setValidator(anchor._v) anchor.setText("0.0") anchorsContainerLayout.addWidget(anchor) self.stripAnchorsList.append(anchor) self.mainLayout.addWidget(self.anchorsContainer, row, 0, 1, 4) row += 1 #signals self.fitFunctionSetupButton.clicked.connect(self.setupFitFunction) self.backgroundSetupButton.clicked.connect(self.setupBackground) self.stripSetupButton.clicked.connect(self.setupStrip) def _stripComboActivated(self, iValue): if iValue == 1: self.setSNIP(True) else: self.setSNIP(False) def _fitFunctionComboActivated(self, iValue): ddict = {} ddict['event'] = "fitFunctionChanged" ddict['fit_function'] = str(self.fitFunctionCombo.currentText()) self.sigFitFunctionDefinitionSignal.emit(ddict) def _backgroundComboActivated(self, iValue): ddict = {} ddict['event'] = "backgroundFunctionChanged" ddict['background_function'] = str(self.backgroundCombo.currentText()) self.sigFitFunctionDefinitionSignal.emit(ddict) def setSNIP(self, bValue): if bValue: self.snipWidthSpin.setEnabled(True) self.stripWidthSpin.setEnabled(False) self.stripIterSpin.setEnabled(False) self.stripCombo.setCurrentIndex(1) else: self.snipWidthSpin.setEnabled(False) self.stripWidthSpin.setEnabled(True) self.stripIterSpin.setEnabled(True) self.stripCombo.setCurrentIndex(0) def setFunctions(self, functionList): currentFunction = str(self.fitFunctionCombo.currentText()) currentBackground = str(self.backgroundCombo.currentText()) self.fitFunctionCombo.clear() self.backgroundCombo.clear() self.fitFunctionCombo.addItem('None') self.backgroundCombo.addItem('None') for key in functionList: self.fitFunctionCombo.addItem(str(key)) self.backgroundCombo.addItem(str(key)) #restore previous values idx = self.fitFunctionCombo.findText(currentFunction) self.fitFunctionCombo.setCurrentIndex(idx) idx = self.backgroundCombo.findText(currentBackground) self.backgroundCombo.setCurrentIndex(idx) def getFunctions(self): functionList = [] n = self.fitFunctionCombo.count() for i in range(n): if i == 0: continue functionList.append(str(self.fitFunctionCombo.itemText(i))) return functionList def setupFitFunction(self): print("FUNCTION SETUP CALLED") def setupBackground(self): print("Background SETUP CALLED") def setupStrip(self): ddict = {} ddict['event'] = "stripSetupCalled" ddict['strip_function'] = str(self.stripCombo.currentText()) ddict['stripalgorithm'] = self.stripCombo.currentIndex() self.sigFitFunctionDefinitionSignal.emit(ddict) class FitControl(qt.QGroupBox): def __init__(self, parent=None): qt.QGroupBox.__init__(self, parent) self.setTitle("Fit Control") self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(2, 2, 2, 2) self.mainLayout.setSpacing(2) row =0 #linear fit self.fitAlgorithmLabel = qt.QLabel(self) self.fitAlgorithmLabel.setText("Fit algorithm") self.fitAlgorithmCombo = qt.QComboBox(self) self.fitAlgorithmCombo.addItem(str("Levenberg-Marquardt")) self.fitAlgorithmCombo.addItem(str("Linear Fit")) self.mainLayout.addWidget(self.fitAlgorithmLabel, row, 0) self.mainLayout.addWidget(qt.HorizontalSpacer(self), row, 1) self.mainLayout.addWidget(self.fitAlgorithmCombo, row, 3) row += 1 #weighting self.weightLabel = qt.QLabel(self) self.weightLabel.setText("Statistical weighting of data") self.weightCombo = qt.QComboBox(self) self.weightCombo.addItem(str("NO Weight")) self.weightCombo.addItem(str("Poisson (1/Y)")) self.mainLayout.addWidget(self.weightLabel, row, 0) self.mainLayout.addWidget(qt.HorizontalSpacer(self), row, 1) self.mainLayout.addWidget(self.weightCombo, row, 3) row += 1 #function estimation policy self.functionEstimationLabel = qt.QLabel(self) self.functionEstimationLabel.setText("Function estimation policy") self.functionEstimationCombo = qt.QComboBox(self) self.functionEstimationCombo.addItem(str("Use configuration")) self.functionEstimationCombo.addItem(str("Estimate once")) self.functionEstimationCombo.addItem(str("Estimate always")) self.functionEstimationCombo.setCurrentIndex(2) self.mainLayout.addWidget(self.functionEstimationLabel, row, 0) self.mainLayout.addWidget(self.functionEstimationCombo, row, 3) row += 1 #background estimation policy self.backgroundEstimationLabel = qt.QLabel(self) text = "Background estimation policy" self.backgroundEstimationLabel.setText(text) self.backgroundEstimationCombo = qt.QComboBox(self) self.backgroundEstimationCombo.addItem(str("Use configuration")) self.backgroundEstimationCombo.addItem(str("Estimate once")) self.backgroundEstimationCombo.addItem(str("Estimate always")) self.backgroundEstimationCombo.setCurrentIndex(2) self.mainLayout.addWidget(self.backgroundEstimationLabel, row, 0) self.mainLayout.addWidget(self.backgroundEstimationCombo, row, 3) row += 1 #number of iterations self.iterLabel = qt.QLabel(self) self.iterLabel.setText(str("Maximum number of fit iterations")) self.iterSpin = qt.QSpinBox(self) self.iterSpin.setMinimum(1) self.iterSpin.setMaximum(10000) self.iterSpin.setValue(10) self.mainLayout.addWidget(self.iterLabel, row, 0) self.mainLayout.addWidget(qt.HorizontalSpacer(self), row, 1) self.mainLayout.addWidget(self.iterSpin, row, 3) row += 1 #chi square handling self.chi2Label = qt.QLabel(self) self.chi2Label.setText(str("Minimum chi^2 difference (%)")) if 0: self.chi2Value = qt.QLineEdit(self) self.chi2Value._v = qt.QDoubleValidator(self.chi2Value) self.chi2Value.setValidator(self.chi2Value._v) self.chi2Value.setText(str("0.001")) else: self.chi2Value = qt.QDoubleSpinBox(self) self.chi2Value.setDecimals(4) self.chi2Value.setMinimum(0.0001) self.chi2Value.setMaximum(100.) self.chi2Value.setSingleStep(0.0001) self.chi2Value.setValue(0.001) self.mainLayout.addWidget(self.chi2Label, row, 0) self.mainLayout.addWidget(qt.HorizontalSpacer(self), row, 1) self.mainLayout.addWidget(self.chi2Value, row, 3) row +=1 #fitting region self.regionTopLine = qt.QFrame(self) self.regionTopLine.setFrameShape(qt.QFrame.HLine) self.regionTopLine.setFrameShadow(qt.QFrame.Sunken) self.regionTopLine.setFrameShape(qt.QFrame.HLine) self.regionCheckBox = qt.QCheckBox(self) self.regionCheckBox.setText(str("Limit fitting region to :")) self.firstLabel = qt.QLabel(self) firstLabel_font = qt.QFont(self.firstLabel.font()) firstLabel_font.setItalic(1) self.firstLabel.setFont(firstLabel_font) self.firstLabel.setText(str("First X Value ")) self.firstLabel.setAlignment(qt.Qt.AlignVCenter | qt.Qt.AlignRight) self.firstValue = qt.QLineEdit(self) self.firstValue._v = qt.QDoubleValidator(self.firstValue) self.firstValue.setValidator(self.firstValue._v) self.firstValue.setText(str("0.")) self.lastLabel = qt.QLabel(self) lastLabel_font = qt.QFont(self.lastLabel.font()) lastLabel_font.setItalic(1) self.lastLabel.setFont(lastLabel_font) self.lastLabel.setText(str("Last X Value ")) self.lastLabel.setAlignment(qt.Qt.AlignVCenter | qt.Qt.AlignRight) self.lastValue = qt.QLineEdit(self) self.lastValue._v = qt.QDoubleValidator(self.lastValue) self.lastValue.setValidator(self.lastValue._v) self.lastValue.setText(str("1000.")) self.regionBottomLine = qt.QFrame(self) self.regionBottomLine.setFrameShape(qt.QFrame.HLine) self.regionBottomLine.setFrameShadow(qt.QFrame.Sunken) self.regionBottomLine.setFrameShape(qt.QFrame.HLine) self.mainLayout.addWidget(self.regionTopLine, row, 0, 1, 4) row += 1 self.mainLayout.addWidget(self.regionCheckBox,row, 0) self.mainLayout.addWidget(self.firstLabel, row, 1) self.mainLayout.addWidget(self.firstValue, row, 3) row += 1 self.mainLayout.addWidget(self.lastLabel, row, 1) self.mainLayout.addWidget(self.lastValue, row, 3) row += 1 self.mainLayout.addWidget(self.regionBottomLine, row, 0, 1, 4) row += 1 class SimpleFitControlWidget(qt.QWidget): sigFitControlSignal = qt.pyqtSignal(object) def __init__(self, parent = None): qt.QWidget.__init__(self, parent) self.mainLayout = qt. QVBoxLayout(self) self.mainLayout.setContentsMargins(2, 2, 2, 2) self.mainLayout.setSpacing(2) self.functionDefinitionWidget = FitFunctionDefinition(self) self.fitControlWidget = FitControl(self) self.mainLayout.addWidget(self.functionDefinitionWidget) self.mainLayout.addWidget(self.fitControlWidget) self.mainLayout.addWidget(qt.VerticalSpacer(self)) self.functionDefinitionWidget.sigFitFunctionDefinitionSignal.connect( \ self._functionDefinitionSlot) def _functionDefinitionSlot(self, ddict): self.sigFitControlSignal.emit(ddict) def setConfiguration(self, ddict0): if "fit" in ddict0: ddict = ddict0["fit"] else: ddict = ddict0 workingKeys = [] originalKeys = list(ddict.keys()) for key in originalKeys: workingKeys.append(key.lower()) #get current configuration current = self.getConfiguration() for key in list(current.keys()): #avoid case sensitivity problems lowerCaseKey = key.lower() if lowerCaseKey in workingKeys: idx = workingKeys.index(lowerCaseKey) current[key] = ddict[originalKeys[idx]] self._setConfiguration(current) def _setConfiguration(self, ddict): #all the keys will be present w = self.functionDefinitionWidget if 'functions' in ddict: w.setFunctions(ddict['functions']) if ddict['fit_function'] in [None, "None", "NONE"]: idx = 0 else: idx = w.fitFunctionCombo.findText(ddict['fit_function']) w.fitFunctionCombo.setCurrentIndex(idx) if ddict['background_function'] in [None, "None", "NONE"]: idx = 0 else: idx = w.backgroundCombo.findText(ddict['background_function']) w.backgroundCombo.setCurrentIndex(idx) if ddict['function_flag']: w.fitFunctionCheckBox.setChecked(True) else: w.fitFunctionCheckBox.setChecked(False) if ddict['strip_flag']: w.stripCheckBox.setChecked(True) else: w.stripCheckBox.setChecked(False) if ddict['background_flag']: w.backgroundCheckBox.setChecked(True) else: w.backgroundCheckBox.setChecked(False) if ddict['stripalgorithm'] in [0, 1, "0", "1"]: idx = int(ddict['stripalgorithm']) else: idx = w.stripCombo.findText(ddict['strip_function']) w.stripCombo.setCurrentIndex(idx) w.setSNIP(idx) w.snipWidthSpin.setValue(int(ddict["snipwidth"])) w.stripWidthSpin.setValue(int(ddict["stripwidth"])) w.stripFilterSpin.setValue(int(ddict["stripfilterwidth"])) w.stripIterSpin.setValue(int(ddict['stripiterations'])) ddict['stripconstant'] = 1.0 w.stripFilterSpin.setValue(int(ddict['stripfilterwidth'])) if int(ddict["stripanchorsflag"]): w.stripAnchorsCheckBox.setChecked(True) else: w.stripAnchorsCheckBox.setChecked(False) anchorslist = ddict.get("stripanchorslist", [0, 0, 0, 0]) anchorslist = ddict["stripanchorslist"] for lineEdit in w.stripAnchorsList: lineEdit.setText("0.0") i = 0 for value in anchorslist: w.stripAnchorsList[i].setText("%g" % float(value)) i += 1 w = self.fitControlWidget idx = w.fitAlgorithmCombo.findText(ddict['fit_algorithm']) w.fitAlgorithmCombo.setCurrentIndex(idx) idx = w.weightCombo.findText(ddict['weight']) w.weightCombo.setCurrentIndex(idx) text = ddict['function_estimation_policy'] idx = w.functionEstimationCombo.findText(text) w.functionEstimationCombo.setCurrentIndex(idx) text = ddict['background_estimation_policy'] idx = w.backgroundEstimationCombo.findText(text) w.backgroundEstimationCombo.setCurrentIndex(idx) w.iterSpin.setValue(int(ddict['maximum_fit_iterations'])) w.chi2Value.setValue(float(ddict['minimum_delta_chi'])) if ddict['use_limits']: w.regionCheckBox.setChecked(True) else: w.regionCheckBox.setChecked(False) w.firstValue.setText("%g" % float(ddict['xmin'])) w.lastValue.setText("%g" % float(ddict['xmax'])) return def getConfiguration(self): ddict = {} w = self.functionDefinitionWidget ddict['functions'] = w.getFunctions() ddict['fit_function'] = str(w.fitFunctionCombo.currentText()) ddict['strip_function'] = str(w.stripCombo.currentText()) ddict['stripalgorithm'] = w.stripCombo.currentIndex() ddict['background_function'] = str(w.backgroundCombo.currentText()) if w.fitFunctionCheckBox.isChecked(): ddict['function_flag'] = 1 else: ddict['function_flag'] = 0 if w.backgroundCheckBox.isChecked(): ddict['background_flag'] = 1 else: ddict['background_flag'] = 0 if w.stripCheckBox.isChecked(): ddict['strip_flag'] = 1 else: ddict['strip_flag'] = 0 ddict['snipwidth'] = w.snipWidthSpin.value() ddict['stripwidth'] = w.stripWidthSpin.value() ddict['stripiterations'] = w.stripIterSpin.value() ddict['stripconstant'] = 1.0 ddict['stripfilterwidth'] = w.stripFilterSpin.value() if w.stripAnchorsCheckBox.isChecked(): ddict['stripanchorsflag'] = 1 else: ddict['stripanchorsflag'] = 0 ddict["stripanchorslist"] = [] for lineEdit in w.stripAnchorsList: text = str(lineEdit.text()) if not len(text): text = 0.0 ddict["stripanchorslist"].append(float(text)) w = self.fitControlWidget ddict['fit_algorithm'] = str(w.fitAlgorithmCombo.currentText()) ddict['weight'] = str(w.weightCombo.currentText()) text = str(w.functionEstimationCombo.currentText()) ddict['function_estimation_policy'] = text text = str(w.backgroundEstimationCombo.currentText()) ddict['background_estimation_policy'] = text ddict['maximum_fit_iterations'] = w.iterSpin.value() ddict['minimum_delta_chi'] = w.chi2Value.value() if w.regionCheckBox.isChecked(): ddict['use_limits'] = 1 else: ddict['use_limits'] = 0 ddict['xmin'] = float(str(w.firstValue.text())) ddict['xmax'] = float(str(w.lastValue.text())) return ddict def test(): app = qt.QApplication(sys.argv) app.lastWindowClosed.connect(app.quit) wid = SimpleFitControlWidget() ddict = {} ddict['stripwidth'] = 4 ddict['stripiterations'] = 4000 ddict['stripconstant'] = 1.0 ddict['stripfilterwidth'] = 3 ddict['stripanchorsflag'] = 1 ddict['stripanchorslist'] = [0, 1, 2, 3] ddict['use_limits'] = 1 ddict['xmin'] = 1 ddict['xmax'] = 1024 wid.setConfiguration(ddict) wid.show() app.exec_() if __name__=="__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/math/PCAWindow.py0000644000276300001750000006741513136054446020620 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import numpy from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import PyMca_Icons IconDict = PyMca_Icons.IconDict from PyMca5.PyMcaGui import MaskImageWidget from PyMca5.PyMcaGui import ScanWindow from PyMca5.PyMcaMath.mva import PCAModule from PyMca5.PyMcaGui import ScatterPlotCorrelatorWidget if hasattr(qt, "QString"): QString = qt.QString else: QString = str MDP = PCAModule.MDP MATPLOTLIB = MaskImageWidget.MATPLOTLIB QTVERSION = MaskImageWidget.QTVERSION class PCAParametersDialog(qt.QDialog): def __init__(self, parent=None, options=[1, 2, 3, 4, 5, 10], regions=False, index=-1): qt.QDialog.__init__(self, parent) self.setWindowTitle("PCA Configuration Dialog") self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(11, 11, 11, 11) self.mainLayout.setSpacing(0) self.methodOptions = qt.QGroupBox(self) self.methodOptions.setTitle('PCA Method to use') self.methods = ['Covariance', 'Expectation Max.', 'Cov. Multiple Arrays'] self.functions = [PCAModule.numpyPCA, PCAModule.expectationMaximizationPCA, PCAModule.multipleArrayPCA] self.methodOptions.mainLayout = qt.QGridLayout(self.methodOptions) self.methodOptions.mainLayout.setContentsMargins(0, 0, 0, 0) self.methodOptions.mainLayout.setSpacing(2) #this does not seem to bring any advantage if 0: self.methods.append("Covariance Numpy") self.functions.append(PCAModule.numpyPCA) if MDP and (index != 0): #self.methods.append("MDP (PCA + ICA)") self.methods.append("MDP (SVD float32)") self.methods.append("MDP (SVD float64)") self.methods.append("MDP ICA (float32)") self.methods.append("MDP ICA (float64)") self.functions.append(PCAModule.mdpPCASVDFloat32) self.functions.append(PCAModule.mdpPCASVDFloat64) self.functions.append(PCAModule.mdpICAFloat32) self.functions.append(PCAModule.mdpICAFloat64) self.buttonGroup = qt.QButtonGroup(self.methodOptions) i = 0 for item in self.methods: rButton = qt.QRadioButton(self.methodOptions) self.methodOptions.mainLayout.addWidget(rButton, 0, i) #self.l.setAlignment(rButton, qt.Qt.AlignHCenter) if i == 1: rButton.setChecked(True) rButton.setText(item) self.buttonGroup.addButton(rButton) self.buttonGroup.setId(rButton, i) i += 1 self.buttonGroup.buttonPressed[int].connect(self._slot) self.mainLayout.addWidget(self.methodOptions) #built in speed options self.speedOptions = qt.QGroupBox(self) self.speedOptions.setTitle("Speed Options") self.speedOptions.mainLayout = qt.QGridLayout(self.speedOptions) self.speedOptions.mainLayout.setContentsMargins(0, 0, 0, 0) self.speedOptions.mainLayout.setSpacing(2) labelPC = qt.QLabel(self) labelPC.setText("Number of PC:") self.nPC = qt.QSpinBox(self.speedOptions) self.nPC.setMinimum(0) self.nPC.setValue(10) self.nPC.setMaximum(40) self.binningLabel = qt.QLabel(self.speedOptions) self.binningLabel.setText("Spectral Binning:") self.binningCombo = qt.QComboBox(self.speedOptions) for option in options: self.binningCombo.addItem("%d" % option) self.speedOptions.mainLayout.addWidget(labelPC, 0, 0) self.speedOptions.mainLayout.addWidget(self.nPC, 0, 1) #self.speedOptions.mainLayout.addWidget(qt.HorizontalSpacer(self), 0, 2) self.speedOptions.mainLayout.addWidget(self.binningLabel, 1, 0) self.speedOptions.mainLayout.addWidget(self.binningCombo, 1, 1) self.binningCombo.setEnabled(False) self.binningCombo.activated[int].connect( \ self._updatePlotFromBinningCombo) if regions: self.__regions = True self.__addRegionsWidget() else: self.__regions = False #the optional plot self.graph = None #the OK button hbox = qt.QWidget(self) hboxLayout = qt.QHBoxLayout(hbox) hboxLayout.setContentsMargins(0, 0, 0, 0) hboxLayout.setSpacing(0) self.okButton = qt.QPushButton(hbox) self.okButton.setText("Accept") self.okButton.setAutoDefault(False) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) hboxLayout.addWidget(self.okButton) hboxLayout.addWidget(qt.HorizontalSpacer(hbox)) self.mainLayout.addWidget(self.speedOptions) if regions: self.mainLayout.addWidget(self.regionsWidget) self.mainLayout.addWidget(hbox) if self.graph is not None: self.mainLayout.addWidget(self.graph) self.okButton.clicked.connect(self.accept) def __addRegionsWidget(self): #Region handling self.regionsWidget = RegionsWidget(self) self.regionsWidget.setEnabled(True) self.regionsWidget.sigRegionsWidgetSignal.connect( \ self.regionsWidgetSlot) #the plot self.graph = ScanWindow.ScanWindow(self) self.graph.setEnabled(False) self.graph.sigPlotSignal.connect(self._graphSlot) if not self.__regions: #I am adding after instantiation self.mainLayout.insertWidget(2,self.regionsWidget) self.mainLayout.addWidget(self.graph) self.__regions = True def regionsWidgetSlot(self, ddict): if ddict["nRegions"] > 0: fromValue = ddict['from'] toValue = ddict['to'] self.graph.setEnabled(True) self.graph.clearMarkers() self.graph.insertXMarker(fromValue, 'From', text='From', color='blue', draggable=True) self.graph.insertXMarker(toValue, 'To', text= 'To', color='blue', draggable=True) self.graph.replot() else: self.graph.clearMarkers() self.graph.setEnabled(False) def _graphSlot(self, ddict): if ddict['event'] == "markerMoved": marker = ddict['label'] value = ddict['x'] signal = False if marker == "From": self.regionsWidget.fromLine.setText("%f" % value) elif marker == "To": self.regionsWidget.toLine.setText("%f" % value) else: signal = True self.regionsWidget._editingSlot(signal=signal) def _slot(self, index): button = self.buttonGroup.button(index) button.setChecked(True) self.binningLabel.setText("Spectral Binning:") if index != 2: self.binningCombo.setEnabled(True) else: self.binningCombo.setEnabled(False) if self.__regions: if index != 2: self.regionsWidget.setEnabled(True) self.graph.setEnabled(True) else: self.regionsWidget.setEnabled(False) self.graph.setEnabled(False) return def setSpectrum(self, x, y, legend=None, info=None): if self.graph is None: self.__addRegionsWidget() if legend is None: legend = "Current Active Spectrum" if info is None: info = {} if not isinstance(x, numpy.ndarray): x = numpy.array(x) y = numpy.array(y) self._x = x self._y = y self.regionsWidget.setLimits(x.min(), x.max()) self._legend = legend self._info = info self.updatePlot() def getSpectrum(self, binned=False): if binned: return self._binnedX, self._binnedY, self._legend, self._info else: return self._x, self._y, self._legend, self._info # value unused, but received with the Qt signal def _updatePlotFromBinningCombo(self, value): if self.graph is None: return self.updatePlot() def updatePlot(self): binning = int(self.binningCombo.currentText()) x = self._x * 1.0 y = self._y * 1.0 x.shape = 1, -1 y.shape = 1, -1 r, c = x.shape x.shape = r, int(c / binning), binning y.shape = r, int(c / binning), binning x = x.sum(axis=-1, dtype=numpy.float32) / binning y = y.sum(axis=-1, dtype=numpy.float32) x.shape = -1 y.shape = -1 self._binnedX = x self._binnedY = y self.graph.addCurve(x, y, legend=self._legend, replace=True) def setParameters(self, ddict): if 'options' in ddict: self.binningCombo.clear() for option in ddict['options']: self.binningCombo.addItem("%d" % option) if 'binning' in ddict: option = "%d" % ddict['binning'] for i in range(self.binningCombo.count()): if str(self.binningCombo.itemText(i)) == option: self.binningCombo.setCurrentIndex(i) if 'npc' in ddict: self.nPC.setValue(ddict['npc']) if 'method' in ddict: self.buttonGroup.buttons()[ddict['method']].setChecked(True) if ddict['method'] != 2: self.binningCombo.setEnabled(True) else: self.binningCombo.setEnabled(False) if 'regions' in ddict: self.regionsWidget.setRegions(regions) return def getParameters(self): ddict = {} ddict['binning'] = int(self.binningCombo.currentText()) ddict['npc'] = self.nPC.value() i = self.buttonGroup.checkedId() ddict['method'] = i ddict['methodlabel'] = self.methods[i] ddict['function'] = self.functions[i] mask = None if self.__regions: regions = self.regionsWidget.getRegions() if not len(regions): mask = None else: mask = numpy.zeros(self._binnedX.shape, dtype=numpy.uint8) for region in regions: mask[(self._binnedX >= region[0]) *\ (self._binnedX <= region[1])] = 1 ddict['regions'] = regions # try to simplify life to the caller but can be hard if # spectral_binning has been applied because of the ambiguity # about if the spectral_mask is to be applied before or after # binning. The use of the 'regions' should be less prone to errors ddict['spectral_mask'] = mask else: ddict['regions'] = [] ddict['spectral_mask'] = mask return ddict class RegionsWidget(qt.QGroupBox): sigRegionsWidgetSignal = qt.pyqtSignal(object) def __init__(self, parent=None, nregions=10, limits=[0.0, 1000.]): qt.QGroupBox.__init__(self, parent) self.setTitle('Spectral Regions') self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) if nregions % 2: nregions += 1 self.nRegions = nregions self.regionList = [] self.__limits = [limits[0], limits[1]] # Nice hint -> What about: # self.regionList.extend([[limits[0], limits[1]] * self.nRegions) # instead of this loop with the useless i? for i in range(self.nRegions): self.regionList.append([limits[0], limits[1]]) self.nRegionsLabel = qt.QLabel(self) self.nRegionsLabel.setText("Number of Regions:") self.nRegionsSpinBox = qt.QSpinBox(self) self.nRegionsSpinBox.setMinimum(0) self.nRegionsSpinBox.setValue(0) self.nRegionsSpinBox.setMaximum(self.nRegions) self.mainLayout.addWidget(self.nRegionsLabel, 0, 0) self.mainLayout.addWidget(self.nRegionsSpinBox, 0, 1) self.nRegionsSpinBox.valueChanged[int].connect(self._regionsChanged) self.currentRegionLabel = qt.QLabel(self) self.currentRegionLabel.setText("Current Region:") self.currentRegionSpinBox = qt.QSpinBox(self) self.currentRegionSpinBox.setMinimum(1) self.currentRegionSpinBox.setValue(1) self.currentRegionSpinBox.setMaximum(1) self.mainLayout.addWidget(self.currentRegionLabel, 0, 2) self.mainLayout.addWidget(self.currentRegionSpinBox, 0, 3) self.currentRegionSpinBox.valueChanged[int].connect(self._currentRegionChanged) label = qt.QLabel(self) label.setText("From:") self.fromLine = qt.QLineEdit(self) self.fromLine.setText("%f" % limits[0]) self.fromLine._v = qt.QDoubleValidator(self.fromLine) self.fromLine.setValidator(self.fromLine._v) self.mainLayout.addWidget(label, 0, 4) self.mainLayout.addWidget(self.fromLine, 0, 5) self.fromLine.editingFinished[()].connect(self._editingSlot) label = qt.QLabel(self) label.setText("To:") self.toLine = qt.QLineEdit(self) self.toLine.setText("%f" % limits[1]) self.toLine._v = qt.QDoubleValidator(self.toLine) self.toLine.setValidator(self.toLine._v) self.mainLayout.addWidget(label, 0, 6) self.mainLayout.addWidget(self.toLine, 0, 7) self.toLine.editingFinished[()].connect(self._editingSlot) self._regionsChanged(0) def setLimits(self, xmin, xmax): for i in range(len(self.regionList)): self.regionList[i][0] = max(self.regionList[i][0], xmin) self.regionList[i][1] = min(self.regionList[i][1], xmax) self.__limits = [xmin, xmax] current = self.currentRegionSpinBox.value() self._currentRegionChanged(current) def _regionsChanged(self, value): if value == 0: self.toLine.setDisabled(True) self.fromLine.setDisabled(True) self.currentRegionSpinBox.setDisabled(True) else: current = self.currentRegionSpinBox.value() self.currentRegionSpinBox.setMaximum(value) self.toLine.setDisabled(False) self.fromLine.setDisabled(False) self.currentRegionSpinBox.setDisabled(False) if current > value: self.currentRegionSpinBox.setValue(value) self._currentRegionChanged(value) def _currentRegionChanged(self, value): if value > 0: fromValue, toValue = self.regionList[value - 1] self.fromLine.setText("%f" % fromValue) self.toLine.setText("%f" % toValue) self.mySignal() def _editingSlot(self, signal=True): current = self.currentRegionSpinBox.value() - 1 self.regionList[current][0] = float(str(self.fromLine.text())) self.regionList[current][1] = float(str(self.toLine.text())) if self.regionList[current][0] < self.__limits[0]: self.regionList[current][0] = self.__limits[0] if self.regionList[current][1] > self.__limits[1]: self.regionList[current][1] = self.__limits[1] if signal: self.mySignal() def mySignal(self): current = self.currentRegionSpinBox.value() - 1 ddict={} ddict['event'] = 'regionChanged' ddict['nRegions'] = self.nRegionsSpinBox.value() ddict['current'] = current if current >= 0: ddict['from'] = self.regionList[current][0] ddict['to'] = self.regionList[current][1] self.sigRegionsWidgetSignal.emit(ddict) def getRegions(self): nRegions = self.nRegionsSpinBox.value() regions = [] if nRegions > 0: for i in range(nRegions): regions.append(self.regionList[i]) return regions def setRegions(self, regionList=None): """ :param regionList: List of couple of "from" and to "values" :type param: List """ if regionList is None: regionList = [] nRegions = len(regionList) # the number of regions is small so, we can afford to loop # instead of a direct copy self.regionList = [] for i in range(nRegions): fromValue, toValue = regionList[i] self.regionList.append([fromValue, toValue]) self.currentRegionSpinBox.setValue(nRegions) if nRegions > 0: self._editingSlot(signal=False) self._regionsChanged(self, nRegions) class PCAWindow(MaskImageWidget.MaskImageWidget): def __init__(self, *var, **kw): ddict = {} ddict['usetab'] = True ddict.update(kw) ddict['standalonesave'] = False MaskImageWidget.MaskImageWidget.__init__(self, *var, **ddict) self.slider = qt.QSlider(self) self.slider.setOrientation(qt.Qt.Horizontal) self.slider.setMinimum(0) self.slider.setMaximum(0) # The 1D graph self.vectorGraph = ScanWindow.ScanWindow(self) self.mainTab.addTab(self.vectorGraph, "VECTORS") self.mainLayout.addWidget(self.slider) self.slider.valueChanged[int].connect(self._showImage) self.imageList = None self.imageNames=None self.eigenValues = None self.eigenVectors = None self.vectorNames = None self.vectorGraphTitles = None standalonesave = kw.get("standalonesave", True) if standalonesave: self.graphWidget.saveToolButton.clicked.connect( \ self._saveToolButtonSignal) self._saveMenu = qt.QMenu() self._saveMenu.addAction(QString("Image Data"), self.saveImageList) self._saveMenu.addAction(QString("Standard Graphics"), self.graphWidget._saveIconSignal) if MATPLOTLIB: self._saveMenu.addAction(QString("Matplotlib") , self._saveMatplotlibImage) self.multiplyIcon = qt.QIcon(qt.QPixmap(IconDict["swapsign"])) infotext = "Multiply image by -1" self.multiplyButton = self.graphWidget._addToolButton(\ self.multiplyIcon, self._multiplyIconChecked, infotext, toggle=False, position=12) # The density plot widget self.scatterPlotWidget = ScatterPlotCorrelatorWidget.ScatterPlotCorrelatorWidget(None, labels=["Legend", "X", "Y"], types=["Text", "RadioButton", "RadioButton"], maxNRois=1) self.__scatterPlotWidgetDataToUpdate = True self.__maskToScatterConnected = True self.sigMaskImageWidgetSignal.connect(self._internalSlot) self.scatterPlotWidget.sigMaskScatterWidgetSignal.connect( \ self._internalSlot) # add the command to show it to the menu if hasattr(self, "_additionalSelectionMenu"): self.additionalSelectionMenu().addAction(\ QString("Show scatter plot"), self.showScatterPlot) def sizeHint(self): return qt.QSize(400, 400) def _multiplyIconChecked(self): if self.imageList is None: return index = self.slider.value() self.imageList[index] *= -1 if self.eigenVectors is not None: self.eigenVectors[index] *= -1 self._showImage(index) self.__scatterPlotWidgetDataToUpdate = True self._updateScatterPlotWidget() def _showImage(self, index): if self.eigenVectors is not None: legend = self.vectorNames[index] y = self.eigenVectors[index] if self.vectorGraphTitles is not None: self.vectorGraph.setGraphTitle(self.vectorGraphTitles[index]) self.vectorGraph.addCurve(range(len(y)), y, legend, replace=True) if len(self.imageList): self.showImage(index, moveslider=False) def showImage(self, index=0, moveslider=True): if self.imageList is None: return if len(self.imageList) == 0: return self.graphWidget.graph.setGraphTitle(self.imageNames[index]) self.setImageData(self.imageList[index]) if moveslider: self.slider.setValue(index) def setPCAData(self, images, eigenvalues=None, eigenvectors=None, imagenames=None, vectornames=None): self.eigenValues = eigenvalues self.eigenVectors = eigenvectors if type(images) == type([]): self.imageList = images elif len(images.shape) == 3: nimages = images.shape[0] self.imageList = [0] * nimages for i in range(nimages): self.imageList[i] = images[i, :] if self.imageList[i].max() < 0: self.imageList[i] *= -1 if self.eigenVectors is not None: self.eigenVectors[i] *= -1 if imagenames is None: self.imageNames = [] for i in range(nimages): self.imageNames.append("Eigenimage %02d" % i) else: self.imageNames = imagenames if self.imageList is not None: self.slider.setMaximum(len(self.imageList) - 1) self.showImage(0) else: self.slider.setMaximum(0) if self.eigenVectors is not None: if vectornames is None: self.vectorNames = [] for i in range(nimages): self.vectorNames.append("Component %02d" % i) else: self.vectorNames = vectornames legend = self.vectorNames[0] y = self.eigenVectors[0] self.vectorGraph.newCurve(range(len(y)), y, legend, replace=True) self.slider.setValue(0) self.__scatterPlotWidgetDataToUpdate = True self._updateScatterPlotWidget() def _updateScatterPlotWidget(self): w = self.scatterPlotWidget if self.__scatterPlotWidgetDataToUpdate: for i in range(len(self.imageNames)): w.addSelectableItem(self.imageList[i], self.imageNames[i]) self.__scatterPlotWidgetDataToUpdate = False w.setPolygonSelectionMode() w.setSelectionMask(self.getSelectionMask()) def _internalSlot(self, ddict): if ddict["id"] == id(self): # signal generated by this instance # only the the scatter plot to be updated unless hidden if self.scatterPlotWidget.isHidden(): return if ddict["event"] in ["selectionMaskChanged", "resetSelection", "invertSelection"]: mask = self.getSelectionMask() if mask is None: mask = numpy.zeros(self.imageList[0].shape, numpy.uint8) self.scatterPlotWidget.setSelectionMask(mask) elif ddict["id"] == id(self.scatterPlotWidget): # signal generated by the scatter plot if ddict["event"] in ["selectionMaskChanged", "resetSelection", "invertSelection"]: mask = self.scatterPlotWidget.getSelectionMask() super(PCAWindow, self).setSelectionMask(mask, plot=True) ddict["id"] = id(self) try: self.__maskToScatterConnected = False self.sigMaskImageWidgetSignal.emit(ddict) finally: self.__maskToScatterConnected = True def setSelectionMask(self, *var, **kw): super(PCAWindow, self).setSelectionMask(*var, **kw) if not self.scatterPlotWidget.isHidden(): self._updateScatterPlotWidget() def saveImageList(self, filename=None, imagelist=None, labels=None): if self.imageList is None: return labels = [] for i in range(len(self.imageList)): labels.append(self.imageNames[i].replace(" ", "_")) return MaskImageWidget.MaskImageWidget.saveImageList(self, imagelist=self.imageList, labels=labels) def setImageList(self, imagelist): self.imageList = imagelist self.eigenValues = None self.eigenVectors = None if imagelist is not None: self.slider.setMaximum(len(self.imageList) - 1) self.showImage(0) def showScatterPlot(self): if self.scatterPlotWidget.isHidden(): # it needs update self._updateScatterPlotWidget() self.scatterPlotWidget.show() # make sure it is visible self.scatterPlotWidget.raise_() def test2(): app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) dialog = PCAParametersDialog() dialog.setParameters({'options': [1,3,5,7,9], 'method': 1, 'npc': 8, 'binning': 3}) dialog.setModal(True) ret = dialog.exec_() if ret: dialog.close() print(dialog.getParameters()) def test(): app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) container = PCAWindow() data = numpy.arange(20000) data.shape = 2, 100, 100 data[1, 0:100, 0:50] = 100 container.setPCAData(data, eigenvectors=[numpy.arange(100.), numpy.arange(100.) + 10], imagenames=["I1", "I2"], vectornames=["V1", "V2"]) container.show() def theSlot(ddict): print(ddict['event']) container.sigMaskImageWidgetSignal.connect(theSlot) app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaGui/math/PCADialog.py0000644000276300001750000003070013136054446020533 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import time import numpy from PyMca5.PyMcaGui import PyMcaQt as qt try: from . import PCAWindow PCA = True MDP = PCAWindow.MDP except ImportError: PCA = False MDP = False DEBUG = 0 class SimpleThread(qt.QThread): def __init__(self, function, *var, **kw): if kw is None: kw = {} qt.QThread.__init__(self) self._function = function self._var = var self._kw = kw self._result = None def run(self): if DEBUG: self._result = self._function(*self._var, **self._kw) else: try: self._result = self._function(*self._var, **self._kw) except: self._result = ("Exception",) + sys.exc_info() class PCADialog(qt.QDialog): def __init__(self, parent=None, rgbwidget=None, selection=False): qt.QDialog.__init__(self, parent) self.setWindowTitle("PCA calculation dialog") self.mainLayout = qt.QVBoxLayout(self) self.calculateButton = qt.QPushButton(self) self.calculateButton.setAutoDefault(False) self.calculateButton.setText("Perform PCA") self.showLastButton = qt.QPushButton(self) self.showLastButton.setAutoDefault(False) self.showLastButton.setText("Last Results") self.mainLayout.addWidget(self.calculateButton) self.mainLayout.addWidget(self.showLastButton) self._data = None self.pcaWindow = PCAWindow.PCAWindow(parent=None, rgbwidget=rgbwidget, #selection=True, selection=selection, colormap=True, #imageicons=True, imageicons=selection, standalonesave=True) self.pcaWindow.setDefaultColormap(0, logflag=False) self.pcaParametersDialog = PCAWindow.PCAParametersDialog(self) self.pcaParametersDialog.nPC.setMaximum(11) self.pcaParametersDialog.nPC.setValue(10) self.pcaParametersDialog.hide() self.pcaParametersDialogInitialized = False self.pcaWindow.hide() #connections self.calculateButton.clicked.connect(self._calculateSlot) self.showLastButton.clicked.connect(self._showLastSlot) def sizeHint(self): return qt.QSize(int(4 * qt.QDialog.sizeHint(self).width()), qt.QDialog.sizeHint(self).height()) def _calculateSlot(self): if self._data is None: msg = qt.QMessageBox(self) msg.setWindowTitle("No data") msg.setIcon(qt.QMessageBox.Information) msg.setText("No data to perform calculation") msg.exec_() return if not self.pcaParametersDialogInitialized: self.pcaParametersDialog.nPC.setMaximum(self._spectrumLength) self.pcaParametersDialog.nPC.setValue( min(10, self._spectrumLength)) ddict = {'options': self._binningOptions, 'binning': 1, 'method': 0} self.pcaParametersDialog.setParameters(ddict) self.pcaParametersDialogInitialized = True ret = self.pcaParametersDialog.exec_() if ret: if DEBUG: t0 = time.time() pcaParameters = self.pcaParametersDialog.getParameters() self.pcaParametersDialog.close() function = pcaParameters['function'] binning = pcaParameters['binning'] npc = pcaParameters['npc'] mask = pcaParameters.get('mask', None) kw = pcaParameters.get('kw', {}) data = self._data old_shape = self._data.shape if mask is not None: if mask.sum() < npc: msg = qt.QMessageBox(self) msg.setWindowTitle("Not enough data") msg.setIcon(qt.QMessageBox.Information) msg.setText("Number of components too high") msg.exec_() return if DEBUG: images, eigenvalues, eigenvectors = function(data, npc, binning=binning, mask=mask, **kw) else: try: threadResult = self._submitThread(function, data, npc, binning=binning, mask=mask, **kw) if type(threadResult) == type((1,)): if len(threadResult): if threadResult[0] == "Exception": raise Exception(threadResult[1], threadResult[2]) images, eigenvalues, eigenvectors = threadResult except: if isinstance(data, numpy.ndarray): self._data.shape = old_shape msg = qt.QMessageBox(self) msg.setIcon(qt.QMessageBox.Critical) msg.setText("%s" % sys.exc_info()[1]) msg.exec_() return if isinstance(self._data, numpy.ndarray): self._data.shape = old_shape if DEBUG: print("PCA Elapsed = ", time.time() - t0) methodlabel = pcaParameters.get('methodlabel', "") imagenames = None vectornames = None if " ICA " in methodlabel: nimages = images.shape[0] imagenames = [] vectornames = [] itmp = int(nimages / 2) for i in range(itmp): imagenames.append("ICAimage %02d" % i) vectornames.append("ICAvector %02d" % i) for i in range(itmp): imagenames.append("Eigenimage %02d" % i) vectornames.append("Eigenvector %02d" % i) self.pcaWindow.setPCAData(images, eigenvalues, eigenvectors, imagenames=imagenames, vectornames=vectornames) self.pcaWindow.show() self.pcaWindow.raise_() def _showLastSlot(self): self.pcaWindow.show() self.pcaWindow.raise_() def setData(self, data=None, spectrumindex=-1): if type(data) == type([]): #assume is an image list if data[0].dtype not in [numpy.float32, numpy.float64]: dtype = numpy.float64 else: dtype = data[0].dtype self._spectrumLength = len(data) self._shape = data[0].shape n = 1 for shape in self._shape: n *= shape self._binningOptions = [1] if len(self._shape) == 1: self._data = numpy.zeros((self._shape[0], self._spectrumLength), dtype) for i in range(self._spectrumLength): self._data[:, i] = data[i][:] elif len(self._shape) == 2: self._data = numpy.zeros((self._shape[0], self._shape[1], self._spectrumLength), dtype) for i in range(self._spectrumLength): self._data[:, :, i] = data[i][:, :] else: self._shape = data.shape self._data = data self._spectrumLength = self._shape[spectrumindex] self._binningOptions = [1] for number in [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 15, 17, 19]: if (self._spectrumLength % number) == 0: self._binningOptions.append(number) if self.pcaParametersDialog is not None: value = self.pcaParametersDialog.nPC.value() self.pcaParametersDialog.nPC.setMaximum(self._spectrumLength) self.pcaParametersDialog.nPC.setValue(min(value, self._spectrumLength)) def setSpectrum(self, x, y, legend=None): return self.pcaParametersDialog.setSpectrum(x, y, legend=legend) def _submitThread(self, function, *var, **kw): message = "Please Wait: PCA Going On" sthread = SimpleThread(function, *var, **kw) return self._startThread(sthread, message) def _startThread(self, sthread, message): sthread.start() msg = qt.QDialog(self, qt.Qt.FramelessWindowHint) msg.setModal(1) msg.setWindowTitle("Please Wait") layout = qt.QHBoxLayout(msg) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) l1 = qt.QLabel(msg) l1.setFixedWidth(l1.fontMetrics().width('##')) l2 = qt.QLabel(msg) l2.setText("%s" % message) l3 = qt.QLabel(msg) l3.setFixedWidth(l3.fontMetrics().width('##')) layout.addWidget(l1) layout.addWidget(l2) layout.addWidget(l3) msg.show() qApp = qt.QApplication.instance() qApp.processEvents() i = 0 ticks = ['-', '\\', "|", "/", "-", "\\", '|', '/'] while (sthread.isRunning()): i = (i + 1) % 8 l1.setText(ticks[i]) l3.setText(" " + ticks[i]) qApp = qt.QApplication.instance() qApp.processEvents() time.sleep(2) msg.close() result = sthread._result del sthread self.raise_() return result if __name__ == "__main__": DEBUG = 1 import os from PyMca5.PyMcaIO import EdfFile app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) d = PCADialog() if len(sys.argv) < 2: fileList = ["D:\DATA\ICA\mix1.edf", "D:\DATA\ICA\mix2.edf", "D:\DATA\ICA\mix3.edf"] else: fileList = [] for i in range(1, len(sys.argv)): fileList.append(sys.argv[i]) imageList = [] for fname in fileList: print(fname) if not os.path.exists(fname): print("File name %s does not exists" % fname) break edf = EdfFile.EdfFile(fname) data = edf.GetData(0) edf = None imageList.append(data) if len(imageList): d.setData(imageList) d.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaCore/0000755000276300001750000000000013205526235015646 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaCore/PyMcaMatplotlibSave.py0000644000276300001750000006045413136054446022114 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import numpy from matplotlib import cm from matplotlib import __version__ as matplotlib_version from matplotlib.font_manager import FontProperties from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas from matplotlib.figure import Figure from matplotlib.colors import LinearSegmentedColormap, LogNorm, Normalize from matplotlib.ticker import MaxNLocator, AutoLocator DEBUG = 0 colordict = {} colordict['blue'] = '#0000ff' colordict['red'] = '#ff0000' colordict['green'] = '#00ff00' colordict['black'] = '#000000' colordict['white'] = '#ffffff' colordict['pink'] = '#ff66ff' colordict['brown'] = '#a52a2a' colordict['orange'] = '#ff9900' colordict['violet'] = '#6600ff' colordict['grey'] = '#808080' colordict['yellow'] = '#ffff00' colordict['darkgreen'] = 'g' colordict['darkbrown'] = '#660000' colordict['magenta'] = 'm' colordict['cyan'] = 'c' colordict['bluegreen'] = '#33ffff' colorlist = [colordict['black'], colordict['red'], colordict['blue'], colordict['green'], colordict['pink'], colordict['brown'], colordict['cyan'], colordict['orange'], colordict['violet'], colordict['bluegreen'], colordict['grey'], colordict['magenta'], colordict['darkgreen'], colordict['darkbrown'], colordict['yellow']] class PyMcaMatplotlibSave(FigureCanvas): def __init__(self, size = (7,3.5), logx = False, logy = False, legends = True, bw = False): self.fig = Figure(figsize=size) #in inches FigureCanvas.__init__(self, self.fig) self._logX = logx self._logY = logy self._bw = bw self._legend = legends self._legendList = [] self._dataCounter = 0 if not legends: if self._logY: ax = self.fig.add_axes([.15, .15, .75, .8]) else: ax = self.fig.add_axes([.15, .15, .75, .75]) else: if self._logY: ax = self.fig.add_axes([.15, .15, .7, .8]) else: ax = self.fig.add_axes([.15, .15, .7, .8]) ax.set_axisbelow(True) self.ax = ax if self._logY: self._axFunction = ax.semilogy else: self._axFunction = ax.plot if self._bw: self.colorList = ['k'] #only black self.styleList = ['-', ':', '-.', '--'] self.nColors = 1 else: self.colorList = colorlist self.styleList = ['-', '-.', ':'] self.nColors = len(colorlist) self.nStyles = len(self.styleList) self.colorIndex = 0 self.styleIndex = 0 self.xmin = None self.xmax = None self.ymin = None self.ymax = None self.limitsSet = False def setLimits(self, xmin, xmax, ymin, ymax): self.xmin = xmin self.xmax = xmax self.ymin = ymin self.ymax = ymax self.limitsSet = True def _filterData(self, x, y): index = numpy.flatnonzero((self.xmin <= x) & (x <= self.xmax)) x = numpy.take(x, index) y = numpy.take(y, index) index = len(index) if index: index = numpy.flatnonzero((self.ymin <= y) & (y <= self.ymax)) index = len(index) return index def _getColorAndStyle(self): color = self.colorList[self.colorIndex] style = self.styleList[self.styleIndex] self.colorIndex += 1 if self.colorIndex >= self.nColors: self.colorIndex = 0 self.styleIndex += 1 if self.styleIndex >= self.nStyles: self.styleIndex = 0 return color, style def addDataToPlot(self, x, y, legend = None, color = None, linewidth = None, linestyle = None, **kw): n = max(x.shape) if self.limitsSet is not None: n = self._filterData(x, y) if n == 0: #nothing to plot if DEBUG: print("nothing to plot") return style = None if color is None: color, style = self._getColorAndStyle() if linestyle is None: if style is None: style = '-' else: style = linestyle if linewidth is None:linewidth = 1.0 self._axFunction( x, y, linestyle = style, color=color, linewidth = linewidth, **kw) self._dataCounter += 1 if legend is None: #legend = "%02d" % self._dataCounter #01, 02, 03, ... legend = "%c" % (96+self._dataCounter) #a, b, c, .. self._legendList.append(legend) def setXLabel(self, label): self.ax.set_xlabel(label) def setYLabel(self, label): self.ax.set_ylabel(label) def setTitle(self, title): self.ax.set_title(title) def plotLegends(self): if not self._legend:return if not len(self._legendList):return loc = (1.01, 0.0) labelsep = 0.015 drawframe = True fontproperties = FontProperties(size=10) if len(self._legendList) > 14: drawframe = False if matplotlib_version < '0.99.0': fontproperties = FontProperties(size=8) loc = (1.05, -0.2) else: if len(self._legendList) < 18: #drawframe = True loc = (1.01, 0.0) elif len(self._legendList) < 25: loc = (1.05, 0.0) fontproperties = FontProperties(size=8) elif len(self._legendList) < 28: loc = (1.05, 0.0) fontproperties = FontProperties(size=6) else: loc = (1.05, -0.1) fontproperties = FontProperties(size=6) if matplotlib_version < '0.99.0': legend = self.ax.legend(self._legendList, loc = loc, prop = fontproperties, labelsep = labelsep, pad = 0.15) else: legend = self.ax.legend(self._legendList, loc = loc, prop = fontproperties, labelspacing = labelsep, borderpad = 0.15) legend.draw_frame(drawframe) def saveFile(self, filename, format=None): if format is None: format = filename[-3:] if format.upper() not in ['EPS', 'PNG', 'SVG']: raise ValueError("Unknown format %s" % format) if os.path.exists(filename): os.remove(filename) if self.limitsSet: self.ax.set_ylim(self.ymin, self.ymax) self.ax.set_xlim(self.xmin, self.xmax) #self.plotLegends() self.print_figure(filename) return class PyMcaMatplotlibSaveImage: def __init__(self, imageData=None, fileName=None, dpi=300, size=(5, 5), xaxis='off', yaxis='off', xlabel='', ylabel='', nxlabels=0, nylabels=0, colorbar=None, title='', interpolation='nearest', colormap=None, linlogcolormap='linear', origin='lower', contour='off', contourlabels='on', contourlabelformat='%.3f', contourlevels=10, contourlinewidth=10, xorigin=0.0, yorigin=0.0, xpixelsize=1.0, ypixelsize=1.0, xlimits=None, ylimits=None, vlimits=None, extent=None): self.figure = Figure(figsize=size) #in inches self.canvas = FigureCanvas(self.figure) self.imageData = imageData self.pixmapImage = None self.config={'xaxis':xaxis, 'yaxis':yaxis, 'title':title, 'xlabel':xlabel, 'ylabel':ylabel, 'nxlabels':nxlabels, 'nylabels':nylabels, 'colorbar':colorbar, 'colormap':colormap, 'linlogcolormap':linlogcolormap, 'interpolation':interpolation, 'origin':origin, 'contour':contour, 'contourlabels':contourlabels, 'contourlabelformat':contourlabelformat, 'contourlevels':contourlevels, 'contourlinewidth':contourlinewidth, 'xpixelsize':xpixelsize, 'ypixelsize':ypixelsize, 'xorigin':xorigin, 'yorigin':yorigin, 'zoomxmin':None, 'zoomxmax':None, 'zoomymin':None, 'zoomymax':None, 'valuemin':None, 'valuemax':None, 'xlimits':xlimits, 'ylimits':ylimits, 'vlimits':vlimits, 'extent':extent} #generate own colormaps cdict = {'red': ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0)), 'green': ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0)), 'blue': ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0))} self.__redCmap = LinearSegmentedColormap('red',cdict,256) cdict = {'red': ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0)), 'green': ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0)), 'blue': ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0))} self.__greenCmap = LinearSegmentedColormap('green',cdict,256) cdict = {'red': ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0)), 'green': ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0)), 'blue': ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0))} self.__blueCmap = LinearSegmentedColormap('blue',cdict,256) # Temperature as defined in spslut cdict = {'red': ((0.0, 0.0, 0.0), (0.5, 0.0, 0.0), (0.75, 1.0, 1.0), (1.0, 1.0, 1.0)), 'green': ((0.0, 0.0, 0.0), (0.25, 1.0, 1.0), (0.75, 1.0, 1.0), (1.0, 0.0, 0.0)), 'blue': ((0.0, 1.0, 1.0), (0.25, 1.0, 1.0), (0.5, 0.0, 0.0), (1.0, 0.0, 0.0))} #Do I really need as many colors? self.__temperatureCmap = LinearSegmentedColormap('temperature', cdict, 65536) #reversed gray cdict = {'red': ((0.0, 1.0, 1.0), (1.0, 0.0, 0.0)), 'green': ((0.0, 1.0, 1.0), (1.0, 0.0, 0.0)), 'blue': ((0.0, 1.0, 1.0), (1.0, 0.0, 0.0))} self.__reversedGrayCmap = LinearSegmentedColormap('yerg', cdict, 256) if fileName is not None: self.saveImage(fileName) def setImage(self, image=None): self.imageData = image def setParameters(self, ddict): self.config.update(ddict) def saveImage(self, filename): self.figure.clear() if (self.imageData is None) and\ (self.pixmapImage is None): return # The axes self.axes = self.figure.add_axes([.15, .15, .75, .8]) if self.config['xaxis'] == 'off': self.axes.xaxis.set_visible(False) else: self.axes.xaxis.set_visible(True) nLabels = self.config['nxlabels'] if nLabels not in ['Auto', 'auto', '0', 0]: self.axes.xaxis.set_major_locator(MaxNLocator(nLabels)) else: self.axes.xaxis.set_major_locator(AutoLocator()) if self.config['yaxis'] == 'off': self.axes.yaxis.set_visible(False) else: self.axes.yaxis.set_visible(True) if nLabels not in ['Auto', 'auto', '0', 0]: self.axes.yaxis.set_major_locator(MaxNLocator(nLabels)) else: self.axes.yaxis.set_major_locator(AutoLocator()) if self.pixmapImage is not None: self._savePixmapFigure(filename) return interpolation = self.config['interpolation'] origin = self.config['origin'] cmap = self.__temperatureCmap ccmap = cm.gray if self.config['colormap'] in ['grey','gray']: cmap = cm.gray ccmap = self.__temperatureCmap elif self.config['colormap'] in ['yarg','yerg']: cmap = self.__reversedGrayCmap ccmap = self.__temperatureCmap elif self.config['colormap']=='jet': cmap = cm.jet elif self.config['colormap']=='hot': cmap = cm.hot elif self.config['colormap']=='cool': cmap = cm.cool elif self.config['colormap']=='copper': cmap = cm.copper elif self.config['colormap']=='spectral': cmap = cm.spectral elif self.config['colormap']=='hsv': cmap = cm.hsv elif self.config['colormap']=='rainbow': cmap = cm.gist_rainbow elif self.config['colormap']=='red': cmap = self.__redCmap elif self.config['colormap']=='green': cmap = self.__greenCmap elif self.config['colormap']=='blue': cmap = self.__blueCmap elif self.config['colormap']=='temperature': cmap = self.__temperatureCmap elif self.config['colormap'] == 'paired': cmap = cm.Paired elif self.config['colormap'] == 'paired_r': cmap = cm.Paired_r elif self.config['colormap'] == 'pubu': cmap = cm.PuBu elif self.config['colormap'] == 'pubu_r': cmap = cm.PuBu_r elif self.config['colormap'] == 'rdbu': cmap = cm.RdBu elif self.config['colormap'] == 'rdbu_r': cmap = cm.RdBu_r elif self.config['colormap'] == 'gist_earth': cmap = cm.gist_earth elif self.config['colormap'] == 'gist_earth_r': cmap = cm.gist_earth_r elif self.config['colormap'] == 'blues': cmap = cm.Blues elif self.config['colormap'] == 'blues_r': cmap = cm.Blues_r elif self.config['colormap'] == 'ylgnbu': cmap = cm.YlGnBu elif self.config['colormap'] == 'ylgnbu_r': cmap = cm.YlGnBu_r else: print("Unsupported colormap %s" % self.config['colormap']) if self.config['extent'] is None: h, w = self.imageData.shape x0 = self.config['xorigin'] y0 = self.config['yorigin'] w = w * self.config['xpixelsize'] h = h * self.config['ypixelsize'] if origin == 'upper': extent = (x0, w+x0, h+y0, y0) else: extent = (x0, w+x0, y0, h+y0) else: extent = self.config['extent'] vlimits = self.__getValueLimits() if vlimits is None: imageData = self.imageData vmin = self.imageData.min() vmax = self.imageData.max() else: vmin = min(vlimits[0], vlimits[1]) vmax = max(vlimits[0], vlimits[1]) imageData = self.imageData.clip(vmin,vmax) if self.config['linlogcolormap'] != 'linear': if vmin <= 0: if vmax > 0: vmin = min(imageData[imageData>0]) else: vmin = 0.0 vmax = 1.0 self._image = self.axes.imshow(imageData.clip(vmin,vmax), interpolation=interpolation, origin=origin, cmap=cmap, extent=extent, norm=LogNorm(vmin, vmax)) else: self._image = self.axes.imshow(imageData, interpolation=interpolation, origin=origin, cmap=cmap, extent=extent, norm=Normalize(vmin, vmax)) ylim = self.axes.get_ylim() if self.config['colorbar'] is not None: barorientation = self.config['colorbar'] self._colorbar = self.figure.colorbar(self._image, orientation=barorientation) #contour plot if self.config['contour'] != 'off': dataMin = imageData.min() dataMax = imageData.max() ncontours = int(self.config['contourlevels']) contourlinewidth = int(self.config['contourlinewidth'])/10. levels = (numpy.arange(ncontours)) *\ (dataMax - dataMin)/float(ncontours) if self.config['contour'] == 'filled': self._contour = self.axes.contourf(imageData, levels, origin=origin, cmap=ccmap, extent=extent) else: self._contour = self.axes.contour(imageData, levels, origin=origin, cmap=ccmap, linewidths=contourlinewidth, extent=extent) if self.config['contourlabels'] != 'off': self.axes.clabel(self._contour, fontsize=9, inline=1, fmt=self.config['contourlabelformat']) if 0 and self.config['colorbar'] is not None: if barorientation == 'horizontal': barorientation = 'vertical' else: barorientation = 'horizontal' self._ccolorbar=self.figure.colorbar(self._contour, orientation=barorientation, extend='both') self.__postImage(ylim, filename) def setPixmapImage(self, image=None, bgr=False): if bgr: self.pixmapImage = image * 1 self.pixmapImage[:,:,0] = image[:,:,2] self.pixmapImage[:,:,2] = image[:,:,0] else: self.pixmapImage = image def _savePixmapFigure(self, filename): interpolation = self.config['interpolation'] origin = self.config['origin'] if self.config['extent'] is None: h= self.pixmapImage.shape[0] w= self.pixmapImage.shape[1] x0 = self.config['xorigin'] y0 = self.config['yorigin'] w = w * self.config['xpixelsize'] h = h * self.config['ypixelsize'] if origin == 'upper': extent = (x0, w+x0, h+y0, y0) else: extent = (x0, w+x0, y0, h+y0) else: extent = self.config['extent'] self._image = self.axes.imshow(self.pixmapImage, interpolation=interpolation, origin=origin, extent=extent) ylim = self.axes.get_ylim() self.__postImage(ylim, filename) def __getValueLimits(self): if (self.config['valuemin'] is not None) and\ (self.config['valuemax'] is not None) and\ (self.config['valuemin'] != self.config['valuemax']): vlimits = (self.config['valuemin'], self.config['valuemax']) elif self.config['vlimits'] is not None: vlimits = self.config['vlimits'] else: vlimits = None return vlimits def __postImage(self, ylim, filename): self.axes.set_title(self.config['title']) self.axes.set_xlabel(self.config['xlabel']) self.axes.set_ylabel(self.config['ylabel']) origin = self.config['origin'] if (self.config['zoomxmin'] is not None) and\ (self.config['zoomxmax'] is not None)and\ (self.config['zoomxmax'] != self.config['zoomxmin']): xlimits = (self.config['zoomxmin'], self.config['zoomxmax']) elif self.config['xlimits'] is not None: xlimits = self.config['xlimits'] else: xlimits = None if (self.config['zoomymin'] is not None) and\ (self.config['zoomymax'] is not None) and\ (self.config['zoomymax'] != self.config['zoomymin']): ylimits = (self.config['zoomymin'], self.config['zoomymax']) elif self.config['ylimits'] is not None: ylimits = self.config['ylimits'] else: ylimits = None if ylimits is None: self.axes.set_ylim(ylim[0],ylim[1]) else: ymin = min(ylimits) ymax = max(ylimits) if origin == "lower": self.axes.set_ylim(ymin, ymax) else: self.axes.set_ylim(ymax, ymin) if xlimits is not None: xmin = min(xlimits) xmax = max(xlimits) self.axes.set_xlim(xmin, xmax) self.canvas.print_figure(filename) if __name__ == "__main__": import sys if len(sys.argv) < 2: a=numpy.arange(1200.) a.shape = 20, 60 PyMcaMatplotlibSaveImage(a, "filename.png", colormap="rainbow") print("Image filename.png saved") else: w=PyMcaMatplotlibSave(legends=True) x = numpy.arange(1200.) w.setLimits(0, 1200., 0, 12000.) if len(sys.argv) > 2: n = int(sys.argv[2]) else: n = 14 for i in range(n): y = x * i w.addDataToPlot(x,y, legend="%d" % i) #w.setTitle('title') w.setXLabel('Channel') w.setYLabel('Counts') w.plotLegends() w.saveFile("filename.png") print("Plot filename.png saved") sys.exit(0) PyMca5-5.2.2/PyMca5/PyMcaCore/HtmlIndex.py0000644000276300001750000002025713136054446020125 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import sys import time from . import PyMcaLogo class HtmlIndex(object): def __init__(self, htmldir): if htmldir is None:htmldir = "/tmp/HTML" self.htmldir = htmldir def isHtml(self, x): if len(x) < 5: return 0 if x[-5:] == ".html":return 1 def isHtmlDir(self, x): if len(x) < 7: return 0 if x[-7:] == "HTMLDIR":return 1 def getHeader(self,addlink=None): link= [ ['http://www.esrf.fr', 'ESRF home'], ['http://www.esrf.fr/computing/bliss/', 'BLISS home'], ] if addlink is not None: for item in addlink: link.append(item) text ="" text+= "" text+= "" text+= "PyMCA : Advanced Fit Results" text+= "" text+= "" text+= "
" text+= "" text+= " " text+= " " text+= " " text+= " " text+= " " text+= " " text+= " " text+= " " text+= " " text+= " " text+= "
" text+= " PyMCA : Advanced Fit Results" text+= " " text+= " " logofile = self.htmldir + "/" + "PyMcaLogo.png" if not os.path.exists(logofile): try: import qt pixmap = qt.QPixmap(PyMcaLogo.PyMcaLogo) pixmap.save(logofile,"PNG") except: pass text+= " " % "PyMcaLogo.png" text+= "
" text+= " " text+= " " text+= " " text+= " " text+= "
" text+= "  " for name in link: text+= "|  %s  "%(tuple(name)) text+= " " text+= "
" text+= "
" text+= "
" text+= "
" return text def getFooter(self): now = time.time() text ="" text+= "
" text+= "" text+= " " text+= " " text+= " " text+= " " text+= " " % time.ctime(now) text+= " " if sys.platform == 'win32': try: user = os.environ['USERNAME'] text+= " %s" % user except: text +="" else: try: user = os.getlogin() text+= " %s" % user except: text +="" text+= " " text+= "
created: %slast modified: %s by" % time.ctime(now) #text+= " papillon@esrf.fr
" text+= "
" text+= "" text+= "" return text def getBody(self, htmldir=None): if htmldir is None:htmldir = self.htmldir dirlist = filter(self.isHtmlDir, os.listdir(htmldir)) filelist = [] for directory in dirlist: fulldir = os.path.join(self.htmldir,directory) filelist += filter(self.isHtml, os.listdir(fulldir)) #I have a list of directories and of indexes for directory in dirlist: fulldir = os.path.join(htmldir,directory) index = os.path.join(fulldir,"index.html") if os.path.exists(index): try: os.remove(index) except: print("cannot delete file %s" % index) continue def _getHtmlFileList(self, directory): return filter(self.isHtml, os.listdir(directory)) def _getHtmlDirList(self, directory): return filter(self.isHtmlDir, os.listdir(directory)) def buildIndex(self, directory = None): if directory is None: directory = self.htmldir index = os.path.join(directory, "index.html") if os.path.exists(index): try: os.remove(index) except: print("cannot delete file %s" % index) return filelist = self._getHtmlFileList(directory) text = "" text += self.getHeader() for file in filelist: text +="%s
" % (file, file.split(".html")[0]) text += self.getFooter() file=open(index,'wb') file.write(text) file.close() def buildRecursiveIndex(self, directory = None): if directory is None: directory = self.htmldir index = os.path.join(directory, "index.html") if os.path.exists(index): try: os.remove(index) except: print("cannot delete file %s" % index) return directorylist = self._getHtmlDirList(directory) text = "" text += self.getHeader() for file in directorylist: fulldir = os.path.join(directory,file) self.buildIndex(fulldir) fileroot = file.split('_HTMLDIR')[0] link = "./"+file+"/index.html" text +="%s
" % (link, fileroot) text += self.getFooter() file=open(index,'wb') file.write(text) file.close() if __name__ == "__main__": if len(sys.argv) > 1: a = HtmlIndex(sys.argv[1]) else: print("Trying /tmp/HTML as input directory") a = HtmlIndex('/tmp/HTML') a.buildRecursiveIndex() PyMca5-5.2.2/PyMca5/PyMcaCore/DataObject.py0000644000276300001750000001512113136054446020223 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V. Armando Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import numpy class DataObject(object): ''' Simple container of an array and associated information. Basically it has the members: info: A dictionnary data: An array, usually 2D, 3D, ... In the past also incorporated selection methods. Now each different data source implements its selection methods. Plotting routines may add additional members x: A list containing arrays to be considered axes y: A list of data to be considered as signals m: A list containing the monitor data ''' GETINFO_DEPRECATION_WARNING = True GETDATA_DEPRECATION_WARNING = True SELECT_DEPRECATION_WARNING = True def __init__(self): ''' Defaut Constructor ''' self.info = {} self.data = numpy.array([]) # all the following methods are here for compatibility purposes # they are obsolete and bound to disappear. def getInfo(self): """ Deprecated method """ if DataObject.GETINFO_DEPRECATION_WARNING: print("DEPRECATION WARNING: DataObject.getInfo()") DataObject.GETINFO_DEPRECATION_WARNING = False return self.info def getData(self): """ Deprecated method """ if DataObject.GETDATA_DEPRECATION_WARNING: print("DEPRECATION WARNING: DataObject.getData()") DataObject.GETDATA_DEPRECATION_WARNING = False return self.data def select(self, selection=None): """ Deprecated method """ if DataObject.SELECT_DEPRECATION_WARNING: print("DEPRECATION WARNING: DataObject.select(selection=None)") DataObject.SELECT_DEPRECATION_WARNING = False dataObject = DataObject() dataObject.info = self.info dataObject.info['selection'] = selection if selection is None: dataObject.data = self.data return dataObject if type(selection) == dict: #dataObject.data = self.data #should I set it to none??? dataObject.data = None if 'rows' in selection: dataObject.x = None dataObject.y = None dataObject.m = None if 'x' in selection['rows']: for rownumber in selection['rows']['x']: if rownumber is None: continue if dataObject.x is None: dataObject.x = [] dataObject.x.append(self.data[rownumber, :]) if 'y' in selection['rows']: for rownumber in selection['rows']['y']: if rownumber is None: continue if dataObject.y is None: dataObject.y = [] dataObject.y.append(self.data[rownumber, :]) if 'm' in selection['rows']: for rownumber in selection['rows']['m']: if rownumber is None: continue if dataObject.m is None: dataObject.m = [] dataObject.m.append(self.data[rownumber, :]) elif ('cols' in selection) or ('columns' in selection): if 'cols' in selection: key = 'cols' else: key = 'columns' dataObject.x = None dataObject.y = None dataObject.m = None if 'x' in selection[key]: for rownumber in selection[key]['x']: if rownumber is None: continue if dataObject.x is None: dataObject.x = [] dataObject.x.append(self.data[:, rownumber]) if 'y' in selection[key]: for rownumber in selection[key]['y']: if rownumber is None: continue if dataObject.y is None: dataObject.y = [] dataObject.y.append(self.data[:, rownumber]) if 'm' in selection[key]: for rownumber in selection[key]['m']: if rownumber is None: continue if dataObject.m is None: dataObject.m = [] dataObject.m.append(self.data[:, rownumber]) if dataObject.x is None: if 'Channel0' in dataObject.info: ch0 = int(dataObject.info['Channel0']) else: ch0 = 0 dataObject.x = [numpy.arange(ch0, ch0 + len(dataObject.y[0])).astype(numpy.float)] if not ("selectiontype" in dataObject.info): dataObject.info["selectiontype"] = "%dD" % len(dataObject.y) return dataObject PyMca5-5.2.2/PyMca5/PyMcaCore/SpecFileLayer.py0000644000276300001750000006065413137667364020737 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" """ SpecFileLayer.py Data derived class to access spec files """ ################################################################################ import numpy from PyMca5.PyMcaIO import specfilewrapper as specfile ################################################################################ SOURCE_TYPE = "SpecFile" # Scan types # ---------- SF_EMPTY= 0 # empty scan SF_SCAN = 1 # non-empty scan SF_MESH = 2 # mesh scan SF_MCA = 4 # single mca SF_NMCA = 8 # multi mca (more than 1 mca per acq) SF_UMCA = 16 # mca number does not match pts number class SpecFileLayer(object): """ Specializes Data class to access Spec files. Interface: Data class interface. """ Error= "SpecFileDataError" def __init__(self,refresh_interval=None,info={}): """ See Data.__init__ """ info["Class"]="SpecFileData" #Data.__init__(self,refresh_interval,info) self.SourceName= None self.SourceInfo= None self.GetData = self.LoadSource def GetPageInfo(self,index={}): if 'SourceName' in index: self.SetSource(index['SourceName']) if 'Key' in index: info=self.GetData(index['Key']) return info[0] def AppendPage(self,scan_info, scan_data): return scan_info,scan_data def SetSource (self,source_name=None,source_obj=None): """ Sets a new source for data retrieving, an specfile. If the file exists, self.Source will be the Specfile object associated to this file. Parameters: source_name: name of the specfile """ if source_name==self.SourceName: return 1 if source_name is not None: if source_obj is not None: self.Source= source_obj else: try: self.Source= specfile.Specfile(source_name) except: self.Source= None else: self.Source= None self.SourceInfo= None if self.Source is None: self.SourceName= None return 0 else: self.SourceName= source_name return 1 def Refresh(self): self.SourceInfo= None if self.Source is not None: self.Source.update() #AS Data.Refresh(self) def RefreshPage(source_obj,self,page): return 0 def GetSourceInfo (self, key=None): """ Returns information about the Specfile object created by SetSource, to give application possibility to know about it before loading. Returns a dictionary with the keys "Size" (number of possible keys(to this source) and "KeyList" (list of all available keys in this source). Each element in "KeyList" is an string in the format "x.y" where x is the number of scan and y is the order. "x.y" works as the key to retrieve the information of this scan. There's also the key "NumMca" in the returned dictionary, which value is a list of numbers of mcas, for each value of "KeyList". If key given returns information of a perticular key instead. """ if self.SourceName == None: return None if key is None: if self.SourceInfo is None: self.SourceInfo= self.__GetSourceInfo() return self.SourceInfo else: key_type= self.__GetKeyType(key) if key_type=="scan": scan_key= key elif key_type=="mca": (scan_key, mca_no)=self.__GetMcaPars(key) return self.__GetScanInfo(scan_key) def LoadSource(self,key_list="ALL",append=0,invalidate=1): """ Creates a given number of pages, getting data from the actual source (set by SetSource). Parameters: * key_list: list of all keys to be read from source. It is a list of strings using the following formats: "ALL": creates one data page for each scan. valid for ScanType==SCAN or MESH or MCA "s.o": loads all counter values (s=scan number, o=order) - if ScanType==SCAN: in a 2D array (mot*cnts) - if ScanType==MESH: in a 3D array (mot1*mot2*cnts) - if ScanType==MCA: single MCA in 1D array (0:channels) "s.o.n": loads a single MCA in a 1D array (0:channels) - if ScanType==NMCA: n is the MCA number from 1 to N - if ScanType==SCAN+MCA: n is the scan point number (from 1) - if ScanType==MESH+MCA: n is the scan point number (from 1) "s.o.p.n": loads a single MCA in a 1D array (0:channels) - if ScanType==SCAN+NMCA: p is the point number in the scan n is the MCA device number - NOT TRUE: Just follow previous. if ScanType==MESH+MCA: p is first motor index n is second motor index "s.o.MCA": loads all MCA in an array - if ScanType==SCAN+MCA: 2D array (pts*mca) - if ScanType==NMCA: 2D array (mca_det*mca) - if ScanType==MESH+MCA: 3D array (pts_mot1*pts_mot2*mca) - if ScanType==SCAN+NMCA: 3D array (pts_mot1*mca_det*mca) - if ScanType==MESH+NMCA: creates N data page, one for each MCA device, with a 3D array (pts_mot1*pts_mot2*mca) * append: if non-zero, appends to the end of the page list, Otherwise, initializes the page list * invalidate: if non-zero performs an invalidade call after loading """ #AS if append==0: Data.Delete(self) if key_list == "ALL": key_list=self.__GetScanList() if type(key_list)==type(" "): key_list=[key_list] file_info= self.__GetFileInfo() output=[] for key in key_list: key_type= self.__GetKeyType(key) if key_type=="scan": output.append(self.__LoadScanData(key,file_info)) elif key_type=="mca": output.append(self.__LoadMcaData(key,file_info)) if len(output) == 1: return output[0] else: return output #AS if invalidate: self.Invalidate() def __LoadScanData(self, scan_key, file_info={}): scan_obj = self.Source.select(scan_key) scan_info = self.__GetScanInfo(scan_key,scan_obj) scan_info["Key"] = scan_key scan_info["FileInfo"] = file_info scan_type = scan_info["ScanType"] scan_data = None if scan_type&SF_SCAN: try: scan_data = numpy.transpose(scan_obj.data()).copy() except: raise IOError("SF_SCAN read failed") elif scan_type&SF_MESH: try: scan_array= scan_obj.data() (mot1,mot2,cnts)= self.__GetMeshSize(scan_array) scan_data= numpy.zeros((mot1,mot2,cnts), numpy.float) for idx in range(mot2): scan_data[:,idx,:]= numpy.transpose(scan_array[:,idx*mot1:(idx+1)*mot1]).copy() scan_data= numpy.transpose(scan_data).copy() except: raise IOError("SF_MESH read failed") elif scan_type&SF_MCA: return self.AppendPage(scan_info, scan_data) elif scan_type&SF_NMCA: return self.AppendPage(scan_info, scan_data) if scan_data is not None: return self.AppendPage(scan_info, scan_data) else: raise IOError("LoadScanData unknown type") def __GetMeshSize(self, scan_array): """ Given the scandata array, return the size tuple of the mesh """ mot2_array = scan_array[1] mot2_max = mot2_array.shape[0] mot1_idx = 1 while mot1_idx < mot2_max and mot2_array[mot1_idx] == mot2_array[0]: mot1_idx+=1 mot2_idx = scan_array.shape[1] // mot1_idx cnts_idx = scan_array.shape[0] return (mot1_idx, mot2_idx, cnts_idx) def __GetScanMotorRange(self, info, obj): name= info["LabelNames"][0] values= obj.datacol(1) length= values.shape[0] return (name, values, length) def __GetMeshMotorRange(self, info, obj): return () def __LoadMcaData(self, key, file_info={}): key_split= key.split(".") scan_key= key_split[0]+"."+key_split[1] scan_obj= self.Source.select(scan_key) scan_info= self.__GetScanInfo(scan_key,scan_obj) scan_info["Key"]= key scan_info["FileInfo"]= file_info scan_type= scan_info["ScanType"] scan_data= None mca_range= [] # for each dim., (name, length, values or None) if key_split[2]=="MCA": if scan_type==SF_SCAN+SF_MCA or scan_type==SF_MCA: try: mca_length= scan_obj.mca(1).shape[0] scan_data= numpy.zeros((scan_info["NbMca"], mca_length), numpy.float) for idx in range(scan_info["NbMca"]): scan_data[idx]= scan_obj.mca(idx+1) idx= 0 if scan_type==SF_SCAN+SF_MCA: mca_range[idx]= self.__GetScanMotorRange(scan_info, scan_obj) idx+=1 mca_range[idx]= ("Channels", mca_length, None) scan_info["McaRange"]= mca_range return self.AppendPage(scan_info, scan_data) except: raise IOError("SF_SCAN+SF_MCA read failed") elif scan_type==SF_NMCA: try: mca_length= scan_obj.mca(1).shape[0] mca_det= scan_info["NbMcaDet"] scan_data= numpy.zeros((mca_det, mca_length), numpy.float) for idx in range(mca_det): scan_data[idx]= scan_obj.mca(idx+1) mca_range[0]= ("McaDet", mca_det, None) mca_range[1]= ("Channels", mca_length, None) scan_info["McaRange"]= mca_range return self.AppendPage(scan_info, scan_data) except: raise IOError("SF_NMCA read failed") elif scan_type==SF_MESH+SF_MCA: try: scan_array= scan_obj.data() (mot1,mot2,cnts)= self.__GetMeshSize(scan_array) mca_length= scan_obj.mca(1).shape[0] scan_data= numpy.zeros((mot1,mot2,mca_length), numpy.float) for idx1 in range(mot1): for idx2 in range(mot2): mca_no= 1 + idx1 + idx2*mot1 scan_data[idx1,idx2,:]= scan_obj.mca(mca_no) return self.AppendPage(scan_info, scan_data) except: raise IOError("SF_MESH+SF_MCA read failed") elif scan_type==SF_SCAN+SF_NMCA: try: mca_length= scan_obj.mca(1).shape[0] nbdet= scan_info["NbMcaDet"] nbpts= scan_info["Lines"] scan_data= numpy.zeros((nbpts, nbdet, mca_length), numpy.float) for idx in range(nbpts): for idy in range(nbdet): scan_data[idx,idy,:]= scan_obj.mca(1+idx*nbdet+idy) mca_range=[0,0,0] mca_range[0]= self.__GetScanMotorRange(scan_info, scan_obj) mca_range[1]= ("McaDet", nbdet, None) mca_range[2]= ("Channels", mca_length, None) scan_info["McaRange"]= mca_range return self.AppendPage(scan_info, scan_data) except: raise IOError("SF_SCAN+SF_NMCA read failed") elif scan_type==SF_MESH+SF_NMCA: raise IOError("SF_MESH+SF_NMCA not yet implemented") scan_data= None elif len(key_split)==3: if scan_type&SF_NMCA or scan_type&SF_MCA: #if scan_type==SF_NMCA or \ # scan_type==SF_SCAN+SF_MCA or \ # scan_type==SF_MESH+SF_MCA: try: mca_no= int(key_split[2]) scan_data= scan_obj.mca(mca_no) except: raise IOError("Single MCA read failed") if scan_data is not None: scan_info.update(self.__GetMcaInfo(mca_no, scan_obj, scan_info)) return self.AppendPage(scan_info, scan_data) elif len(key_split)==4: if int(key_split[3]) > scan_info["NbMcaDet"]: raise IOError(\ "Asked to read Mca %d having % d mca " % \ (int(key_split[3]), scan_info["NbMcaDet"])) if scan_type==SF_SCAN+SF_NMCA: try: mca_no= (int(key_split[2])-1)*scan_info["NbMcaDet"] + int(key_split[3]) scan_data= scan_obj.mca(mca_no) except: raise IOError("SF_SCAN+SF_NMCA read failed") elif scan_type==SF_MESH+SF_MCA: try: scan_array= scan_obj.data() (mot1,mot2,cnts)= self.__GetMeshSize(scan_array) #mca_no= 1 + int(key_split[2]) + int(key_split[3])*mot1 mca_no= (int(key_split[2])-1)*scan_info["NbMcaDet"] + int(key_split[3]) scan_data= scan_obj.mca(mca_no) except: raise IOError("SF_MESH+SF_MCA read failed") elif scan_type&SF_NMCA or scan_type&SF_MCA: try: mca_no= (int(key_split[2])-1)*scan_info["NbMcaDet"] + int(key_split[3]) scan_data= scan_obj.mca(mca_no) except: raise IOError("SF_SCAN+SF_NMCA read failed") else: print("Unknown scan!!!!!!!!!!!!!!!!") raise IOError("Unknown scan!!!!!!!!!!!!!!!!") if scan_data is not None: scan_info.update(self.__GetMcaInfo(mca_no, scan_obj, scan_info)) return self.AppendPage(scan_info, scan_data) def __GetFileInfo(self): file_info={} try: file_info["Title"] = self.Source.title() except: file_info["Title"] = None try: file_info["User"] = self.Source.user() except: file_info["User"] = None try: file_info["Date"] = self.Source.date() except: file_info["Date"] = None try: file_info["Epoch"] = self.Source.epoch() except: file_info["Epoch"] = None try: file_info["ScanNo"] = self.Source.scanno() except: file_info["ScanNo"] = None try: file_info["List"] = list except: file_info["List"] = None return file_info def __GetSourceInfo(self): scanlist=self.__GetScanList() source_info={} source_info["Size"]=len(scanlist) source_info["KeyList"]=scanlist num_mca=[] num_pts=[] commands=[] sf_type=[] for i in scanlist: sel=self.Source.select(i) try: n= sel.nbmca() except: n= 0 num_mca.append(n) try: n= sel.lines() except: n= 0 num_pts.append(n) try: n= sel.command() except: n= "" commands.append(n) source_info["NumMca"]=num_mca source_info["NumPts"]=num_pts source_info["Commands"]= commands source_info["ScanType"]= map(self.__GetScanType, num_pts, num_mca, commands) return source_info def __GetScanType(self, num_pts, num_mca, command): type= SF_EMPTY if num_pts>0: if command is None: type= SF_SCAN elif command.find("mesh") != -1: type= SF_MESH else: type= SF_SCAN if num_mca%num_pts: type += SF_UMCA elif num_mca==num_pts: type += SF_MCA elif num_mca>0: type += SF_NMCA else: if num_mca==1: type = SF_MCA elif num_mca>1: type = SF_NMCA return type def __GetScanList(self): aux = self.Source.list().split(",") newlistcount=[] newlist=[] for i in aux: if i.find(":") == -1: start_index = end_index = int(i) else: s = i.split(":") start_index = int(s[0]) end_index = int(s[1]) for j in range(start_index, end_index+1): newlist.append(j) newlistcount.append(newlist.count(j)) for i in range(len(newlist)): newlist[i]="%d.%d" % (newlist[i],newlistcount[i]) return newlist def __GetKeyType (self,key): count = key.count('.') if (count==1): return "scan" elif (count==2) or (count==3): return "mca" else: raise KeyError("SpecFileData: Invalid key %s" % key) def __GetScanInfo(self, scankey, scandata=None): if scandata is None: scandata = self.Source.select(scankey) info={} info["SourceType"] = SOURCE_TYPE info["SourceName"] =self.SourceName info["Key"] =scankey info["Source"] =self.Source try: info["Number"] = scandata.number() except: info["Number"] = None try: info["Order"] = scandata.order() except: info["Order"] = None try: info["Cols"] = scandata.cols() except: info["Cols"] = 0 try: info["Lines"] = scandata.lines() except: info["Lines"] = 0 try: info["Date"] = scandata.date() except: info["Date"] = None try: info["MotorNames"] = self.Source.allmotors() except: info["MotorNames"] = None try: info["MotorValues"] = scandata.allmotorpos() except: info["MotorValues"] = None try: info["LabelNames"] = scandata.alllabels() except: info["LabelNames"] = None try: info["Command"] = scandata.command() except: info["Command"] = None try: info["Header"] = scandata.header("") except: info["Header"] = None try: info["NbMca"] = scandata.nbmca() except: info["NbMca"] = 0 try: info["hkl"] = scandata.hkl() except: info["hkl"] = None if info["NbMca"]: if info["Lines"]>0 and info["NbMca"]%info["Lines"]==0: info["NbMcaDet"]= info["NbMca"] // info["Lines"] else: info["NbMcaDet"]= info["NbMca"] info["ScanType"]= self.__GetScanType(info["Lines"], info["NbMca"], info["Command"]) return info def __GetMcaInfo(self, mcano, scandata, info=None): if info is None: info = {} mcainfo= {} if "NbMcaDet" in info: det= info["NbMcaDet"] if info["Lines"]>0: mcainfo["McaPoint"]= int(mcano/info["NbMcaDet"])+(mcano%info["NbMcaDet"]>0) mcainfo["McaDet"]= mcano-((mcainfo["McaPoint"]-1)*info["NbMcaDet"]) try: mcainfo["LabelValues"]= scandata.dataline(mcainfo["McaPoint"]) except: mcainfo["LabelValues"]= None else: mcainfo["McaPoint"]= 0 mcainfo["McaDet"]= mcano mcainfo["LabelValues"]= None # TODO: This implementation seems to ignore the case of having different # detectors in the same same scan calib= scandata.header("@CALIB") mcainfo["McaCalib"]=[0.0,1.0,0.0] if len(calib): # TODO: Instead of 0, one should use the index of the MCA detector # requested. ctxt= calib[0].split() if len(ctxt)==4: try: cval= [ float(ctxt[1]), float(ctxt[2]), float(ctxt[3]) ] mcainfo["McaCalib"]= cval except: mcainfo["McaCalib"]=[0.0,1.0,0.0] # TODO: This implementation seems to ignore the case of having different # detectors in the same scan, and the fact one can have more than one # measurement in a single scan (different McaLiveTime) ctime= scandata.header("@CTIME") if len(ctime): ctxt= ctime[0].split() if len(ctxt)==4: try: mcainfo["McaPresetTime"]= float(ctxt[1]) mcainfo["McaLiveTime"]= float(ctxt[2]) mcainfo["McaRealTime"]= float(ctxt[3]) except: pass chann = scandata.header("@CHANN") if len(chann): ctxt= chann[0].split() if len(ctxt)==5: mcainfo['Channel0'] = float(ctxt[2]) else: mcainfo['Channel0'] = 0.0 else: mcainfo['Channel0'] = 0.0 return mcainfo def __GetMcaPars(self,key): nums = key.split('.') size = len(nums) sel_key = nums[0] + "." + nums[1] if size == 3: mca_no = int(nums[2]) elif size == 4: sel = self.Source.select(sel_key) try: lines = sel.lines() except: lines=0 if nums[3]==0: mca_no = int(nums[2]) else: mca_no=((int(nums[3]) - 1) * lines) + int(nums[2]) else: raise KeyError("SpecFileData: Invalid key %s" % key) return (sel_key,mca_no) ################################################################################ #EXEMPLE CODE: if __name__ == "__main__": import sys,time if len(sys.argv) not in [2,3]: print("Usage: %s []") sys.exit() filename= sys.argv[1] sf= SpecFileLayer() if not sf.SetSource(filename): print("ERROR: cannot open file %s" % filename) sys.exit() if len(sys.argv)==2: info= sf.GetSourceInfo() print("Filename :", sf.SourceName) print("Number of scans :", info["Size"]) print("S# - command - pts - mca - type") for (s,c,p,m,t) in zip(info["KeyList"],info["Commands"],info["NumPts"],info["NumMca"],info["ScanType"]): print(s,"-",c,"-",p,"-",m,"-",t) print("KeyList = ",info["KeyList"]) #print info['Channel0'] if len(sys.argv)==3: info, data = sf.LoadSource(sys.argv[2]) print("Filename :", sf.SourceName) print("Loaded key :", info["Key"]) print("Header :") for i,v in info.items(): print("-", i, ":", v) print("Data Shape :", data.shape) PyMca5-5.2.2/PyMca5/PyMcaCore/Plugin1DBase.py0000644000276300001750000004252113173367502020446 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """ A 1D plugin is a module that can be added to the PyMca 1D window in order to perform user defined operations of the plotted 1D data. Plugins can be automatically installed provided they are in the appropriate place: - In the user home directory: ${HOME}/PyMca/plugins (POSIX systems) - In "My Documents\\\\PyMca\\\\plugins" (Windows) A plugin inherit the Plugin1DBase.Plugin1DBase class and implement the methods: - getMethods - getMethodToolTip (optional but convenient) - getMethodPixmap (optional) - applyMethod and modify the static module variable MENU_TEXT and the static module function getPlugin1DInstance according to the defined plugin. These plugins will be compatible with any 1D-plot window that implements the Plot1D interface. The plot window interface is described in the Plot1DBase class. The main items are reproduced here and can be directly accessed as plugin methods. - addCurve - getActiveCurve - getAllCurves - getGraphXLimits - getGraphYLimits - getGraphTitle - getGraphXLabel - getGraphXTitle - getGraphYLabel - getGraphYTitle - removeCurve - setActiveCurve - setGraphTitle - setGraphXLimits - setGraphYLimits - setGraphXLabel - setGraphYLabel - setGraphXTitle - setGraphYTitle A simple plugin example, normalizing each curve to its maximum and vertically shifting the curves. .. code-block:: python from PyMca5 import Plugin1DBase class Shifting(Plugin1DBase.Plugin1DBase): def getMethods(self, plottype=None): return ["Shift"] def getMethodToolTip(self, methodName): if methodName != "Shift": raise InvalidArgument("Method %s not valid" % methodName) return "Subtract minimum, normalize to maximum, and shift up by 0.1" def applyMethod(self, methodName): if methodName != "Shift": raise ValueError("Method %s not valid" % methodName) allCurves = self.getAllCurves() increment = 0.1 for i in range(len(allCurves)): x, y, legend, info = allCurves[i][:4] delta = float(y.max() - y.min()) if delta < 1.0e-15: delta = 1.0 y = (y - y.min())/delta + i * increment if i == (len(allCurves) - 1): replot = True else: replot = False if i == 0: replace = True else: replace = False self.addCurve(x, y, legend=legend + " %.2f" % (i * increment), info=info, replace=replace, replot=replot) MENU_TEXT="Simple Shift Example" def getPlugin1DInstance(plotWindow, **kw): ob = Shifting(plotWindow) return ob """ import weakref try: from numpy import argsort, nonzero, take except ImportError: print("WARNING: numpy not present") try: from silx.gui.plot.PlotWidget import PlotWidget as silxPlot except ImportError: silxPlot = None def merge_info_params(info, params): """Return a copy of dictionary`info` updated with the content of dictionary `params`. If keys don't overlap, this will effectively concatenate info and params. :param dict info: Dictionary of custom curve metadata :param dict params: Dictionary of standard curve metadata (*xlabel, ylabel, linestyle...*)""" # TODO. much more keys and values to fix (see McaWindow) info_params = info.copy() info_params.update(params) # xlabel and ylabel default to None in *silx*, # PyMca plugins expect a string if info_params.get("xlabel", None) is None: info_params["xlabel"] = "X" if info_params.get("ylabel", None) is None: info_params["ylabel"] = "Y" return info_params class Plugin1DBase(object): def __init__(self, plotWindow, **kw): """ plotWindow is the object instantiating the plugin. Unless one knows what (s)he is doing, only a proxy should be used. I pass the actual instance to keep all doors open. The plot window can be a legacy PyMca plot, in which case :attr:`_legacy` is set to *True*, or a :class:`PluginsToolButton` acting as proxy for a *silx* PlotWindow. """ self._plotWindow = weakref.proxy(plotWindow) self._legacy = True """The plot window can be a legacy PyMca plot, in which case :attr:`_legacy` is set to *True*, or a :class:`PluginsToolButton` acting as proxy for a *silx* PlotWindow (*legacy=False*). """ if silxPlot is not None: if hasattr(plotWindow, "plot"): # PluginsToolButton.plot -> silx plot self._legacy = False # Window related functions def windowTitle(self): name = self._plotWindow.windowTitle() return name # fixme: should we support **kw? def addCurve(self, x, y, legend=None, info=None, replace=False, replot=True, **kw): """ Add the 1D curve given by x an y to the graph. :param x: The data corresponding to the x axis :type x: list or numpy.ndarray :param y: The data corresponding to the y axis :type y: list or numpy.ndarray :param legend: The legend to be associated to the curve :type legend: string or None :param info: Dictionary of information associated to the curve :type info: dict or None :param replace: Flag to indicate if already existing curves are to be deleted :type replace: boolean default False :param replot: Flag to indicate plot is to be immediately updated :type replot: boolean default True :param **kw: Additional keywords recognized by the plot window. Beware that the keywords recognized by *silx* and *PyMca* plot windows may differ. """ if self._legacy: return self._plotWindow.addCurve(x, y, legend=legend, info=info, replace=replace, replot=replot, **kw) else: # fill = info.get("plot_fill", False) if info is not None else False # fill = kw.get("fill", fill) # linewidth = kw.get("linewidth", None) return self._plotWindow.addCurve(x, y, legend=legend, info=info, replace=replace, resetzoom=replot, # fill=fill, linewidth=linewidth, # Fixme: are these needed? **kw) def getActiveCurve(self, just_legend=False): """ :param just_legend: Flag to specify the type of output required :type just_legend: boolean :return: legend of the active curve or list [x, y, legend, info] :rtype: string or list Function to access the graph currently active curve. It returns None in case of not having an active curve. Default output has the form: xvalues, yvalues, legend, dict where dict is a dictionary containing curve info. For the time being, only the plot labels associated to the curve are warranted to be present under the keys xlabel, ylabel. If just_legend is True: The legend of the active curve (or None) is returned. """ curve = self._plotWindow.getActiveCurve(just_legend=just_legend) # silx specific: when there is only one curve, get it, even if not active # (PyMca's getActiveCurve already does this) if curve is None and not self._legacy: if len(self.getAllCurves(just_legend=True)) == 1: curve = self._plotWindow.getCurve() if self._legacy or just_legend or curve is None: return curve # silx PlotWindow x, y, legend, info, params = curve return x, y, legend, merge_info_params(info, params) def getAllCurves(self, just_legend=False): """ :param just_legend: Flag to specify the type of output required :type just_legend: boolean :return: legend of the curves or list [[x, y, legend, info], ...] :rtype: list of strings or list of curves It returns an empty list in case of not having any curve. If just_legend is False: It returns a list of the form: [[xvalues0, yvalues0, legend0, dict0], [xvalues1, yvalues1, legend1, dict1], [...], [xvaluesn, yvaluesn, legendn, dictn]] or just an empty list. If just_legend is True: It returns a list of the form: [legend0, legend1, ..., legendn] or just an empty list. """ all_curves = [] for curve in self._plotWindow.getAllCurves(just_legend=just_legend): if just_legend or self._legacy: all_curves.append(curve) else: x, y, legend, info, params = curve all_curves.append([x, y, legend, merge_info_params(info, params)]) return all_curves def getCurve(self, legend): curve = self._plotWindow.getCurve(legend) if self._legacy or curve is None: return curve # silx PlotWindow x, y, legend, info, params = curve return x, y, legend, merge_info_params(info, params) def getMonotonicCurves(self): """ Convenience method that calls getAllCurves and makes sure that all of the X values are strictly increasing. :return: It returns a list of the form: [[xvalues0, yvalues0, legend0, dict0], [xvalues1, yvalues1, legend1, dict1], [...], [xvaluesn, yvaluesn, legendn, dictn]] """ allCurves = [] for curve in self.getAllCurves(): x, y, legend, info = curve[0:4] # Sort idx = argsort(x, kind='mergesort') xproc = take(x, idx) yproc = take(y, idx) # Ravel, Increase xproc = xproc.ravel() idx = nonzero((xproc[1:] > xproc[:-1]))[0] xproc = take(xproc, idx) yproc = take(yproc, idx) allCurves.append([xproc, yproc, legend, info]) return allCurves def getGraphXLimits(self): """ Get the graph X limits. :return: Two floats with the X axis limits """ return self._plotWindow.getGraphXLimits() def getGraphYLimits(self): """ Get the graph Y (left) limits. :return: Two floats with the Y (left) axis limits """ return self._plotWindow.getGraphYLimits() def getGraphTitle(self): """ :return: The graph title :rtype: string """ return self._plotWindow.getGraphTitle() def getGraphXLabel(self): """ :return: The graph X axis label :rtype: string """ return self._plotWindow.getGraphXLabel() def getGraphXTitle(self): """ :return: The graph X axis label :rtype: string """ print("getGraphXTitle deprecated, use getGraphXLabel") return self._plotWindow.getGraphXLabel() def getGraphYLabel(self): """ :return: The graph Y axis label :rtype: string """ return self._plotWindow.getGraphYLabel() def getGraphYTitle(self): """ :return: The graph Y axis label :rtype: string """ print("getGraphYTitle deprecated, use getGraphYLabel") return self._plotWindow.getGraphYLabel() def setGraphXLimits(self, xmin, xmax, replot=False): """ Set the graph X limits. :param xmin: minimum value of the axis :type xmin: float :param xmax: minimum value of the axis :type xmax: float :param replot: Flag to indicate plot is to be immediately updated :type replot: boolean default False """ if self._legacy: return self._plotWindow.setGraphXLimits(xmin, xmax, replot=replot) return self._plotWindow.setGraphXLimits(xmin, xmax) # TODO: support param axis='right'? def setGraphYLimits(self, ymin, ymax, replot=False): """ Set the graph Y (left) limits. :param ymin: minimum value of the axis :type ymin: float :param ymax: minimum value of the axis :type ymax: float :param replot: Flag to indicate plot is to be immediately updated :type replot: boolean default False """ if self._legacy: return self._plotWindow.setGraphYLimits(ymin, ymax, replot=replot) return self._plotWindow.setGraphYLimits(ymin, ymax) def removeCurve(self, legend, replot=True): """ Remove the curve associated to the supplied legend from the graph. The graph will be updated if replot is true. :param legend: The legend associated to the curve to be deleted :type legend: string or None :param replot: Flag to indicate plot is to be immediately updated :type replot: boolean default True """ if self._legacy: self._plotWindow.removeCurve(legend, replot=replot) return self._plotWindow.removeCurve(legend) def setActiveCurve(self, legend): """ Funtion to request the plot window to set the curve with the specified legend as the active curve. :param legend: The legend associated to the curve :type legend: string """ return self._plotWindow.setActiveCurve(legend) def setGraphTitle(self, title): """ :param title: The title to be set :type title: string """ return self._plotWindow.setGraphTitle(title) def setGraphXTitle(self, title): """ :param title: The title to be associated to the X axis :type title: string """ if self._legacy: return self._plotWindow.setGraphXTitle(title) return self._plotWindow.setGraphXLabel(title) def setGraphYTitle(self, title): """ :param title: The title to be associated to the X axis :type title: string """ if self._legacy: return self._plotWindow.setGraphYTitle(title) return self._plotWindow.setGraphYLabel(title) # Methods to be implemented by the plugin def getMethods(self, plottype=None): """ :param plottype: string or None for the case the plugin only support one type of plots. Implemented values "SCAN", "MCA" or None :return: A list with the NAMES associated to the callable methods that are applicable to the specified type plot. The list can be empty. :rtype: list[string] """ print("getMethods not implemented") return [] def getMethodToolTip(self, name): """ Returns the help associated to the particular method name or None. :param name: The method for which a tooltip is asked :rtype: string """ return None def getMethodPixmap(self, name): """ :param name: The method for which a pixmap is asked :rtype: QPixmap or None """ return None def applyMethod(self, name): """ The plugin is asked to apply the method associated to name. """ print("applyMethod not implemented") return MENU_TEXT = "Plugin1D Base" def getPlugin1DInstance(plotWindow, **kw): """ This function will be called by the plot window instantiating and calling the plugins. It passes itslef as first argument, but the default implementation of the base class only keeps a weak reference to prevent cirvular references. """ ob = Plugin1DBase(plotWindow) return ob PyMca5-5.2.2/PyMca5/PyMcaCore/__init__.py0000644000276300001750000000000013136054446017750 0ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaCore/StackROIBatch.py0000644000276300001750000003411713136054446020612 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """ Module to calculate a set of ROIs on a stack of data. """ import os import numpy from PyMca5.PyMcaIO import ConfigDict import time DEBUG = 0 class StackROIBatch(object): def __init__(self): self._config = {} def setConfiguration(self, configuration): self._config["ROI"] = configuration["ROI"] def getConfiguration(self): return self._config def setConfigurationFile(self, ffile): if not os.path.exists(ffile): raise IOError("File <%s> does not exists" % ffile) configuration = ConfigDict.ConfigDict() configuration.read(ffile) self.setConfiguration(configuration) def batchROIMultipleSpectra(self, x=None, y=None, configuration=None, net=True, xAtMinMax=False, index=None, xLabel=None): """ This method performs the actual fit. The y keyword is the only mandatory input argument. :param x: 1D array containing the x axis (usually the channels) of the spectra. :param y: 3D array containing the data, usually [nrows, ncolumns, nchannels] :param weight: 0 Means no weight, 1 Use an average weight, 2 Individual weights (slow) :param net: 0 Means no subtraction, 1 Calculate :param xAtMinMax: if True, calculate X at maximum and minimum Y . Default is false. :param index: Index of dimension where to apply the ROIs. :param xLabel: Type of ROI to be used. :return: A dictionnary with the images and the image names as keys. """ if y is None: raise RuntimeError("y keyword argument is mandatory!") if hasattr(y, "info") and hasattr(y, "data"): data = y.data mcaIndex = y.info.get("McaIndex", -1) else: data = y mcaIndex = -1 if index is None: index = mcaIndex if index < 0: index = len(data.shape) - 1 #workaround a problem with h5py try: if index in [0]: testException = data[0:1] else: if len(data.shape) == 2: testException = data[0:1,-1] elif len(data.shape) == 3: testException = data[0:1,0:1,-1] except AttributeError: txt = "%s" % type(data) if 'h5py' in txt: print("Implementing h5py workaround") import h5py data = h5py.Dataset(data.id) else: raise # make sure to get x data if x is None: x = numpy.arange(data.shape[index]).astype(numpy.float32) if DEBUG: t0 = time.time() if configuration is not None: self.setConfiguration(configuration) # read the current configuration config = self.getConfiguration() # start the work roiList0 = config["ROI"]["roilist"] if type(roiList0) not in [type([]), type((1,))]: roiList0 = [roiList0] # operate only on compatible ROIs roiList = [] for roi in roiList0: if roi.upper() == "ICR": roiList.append(roi) roiType = config["ROI"]["roidict"][roi]["type"] if xLabel is None: roiList.append(roi) elif xLabel.lower() == roiType.lower(): roiList.append(roi) # only usual spectra case supported if index != (len(data.shape) - 1): raise IndexError("Only stacks of spectra supported") if len(data.shape) != 3: txt = "For the time being only " txt += "three dimensional arrays supported" raise NotImplemented(txt) if len(data.shape) != 3: txt = "For the time being only " txt += "three dimensional arrays supported" raise NotImplemented(txt) totalSpectra = 1 for i in range(len(data.shape)): if i != index: totalSpectra *= data.shape[i] if x.size != data.shape[index]: raise NotImplemented("All the spectra should share same X axis") jStep = min(1000, data.shape[1]) nRois = len(roiList) iXMinList = [None] * nRois iXMaxList = [None] * nRois nRows = data.shape[0] nColumns = data.shape[1] if xAtMinMax: results = numpy.zeros((nRois * 4, nRows, nColumns), numpy.float) names = [None] * 4 * nRois else: results = numpy.zeros((nRois * 2, nRows, nColumns), numpy.float) names = [None] * 2 * nRois for i in range(0, data.shape[0]): #print(i) #chunks of nColumns spectra if i == 0: chunk = numpy.zeros((jStep, data.shape[index]), numpy.float) xData = x jStart = 0 while jStart < data.shape[1]: jEnd = min(jStart + jStep, data.shape[1]) chunk[:(jEnd - jStart)] = data[i, jStart: jEnd] for j, roi in enumerate(roiList): if i == 0: roiType = config["ROI"]["roidict"][roi]["type"] roiLine = roi roiFrom = config["ROI"]["roidict"][roi]["from"] roiTo = config["ROI"]["roidict"][roi]["to"] if roiLine == "ICR": iXMinList[j] = 0 iXMaxList[j] = data.shape[index] else: iXMinList[j] = numpy.nonzero(x <= roiFrom)[0][-1] iXMaxList[j] = numpy.nonzero(x >= roiTo)[0][0] + 1 names[j] = "ROI " + roiLine names[j + nRois] = "ROI "+ roiLine + " Net" if xAtMinMax: names[j + 2 * nRois] = "ROI "+ roiLine + (" %s at Max." % roiType) names[j + 3 * nRois] = "ROI "+ roiLine + (" %s at Min." % roiType) iXMin = iXMinList[j] iXMax = iXMaxList[j] #if i == 0: # print roi, " iXMin = ", iXMin, "iXMax = ", iXMax tmpArray = chunk[:(jEnd - jStart), iXMin : iXMax] left = tmpArray[:, 0] right = tmpArray[:, -1] rawSum = tmpArray.sum(axis=-1, dtype=numpy.float) netSum = rawSum - (0.5 * (left + right) * (iXMax - iXMin + 1)) results[j][i,:(jEnd - jStart)] = rawSum results[j + nRois][i,:(jEnd - jStart)] = netSum if xAtMinMax: # maxImage results[j + 2 * nRois][i, :(jEnd - jStart)] = \ numpy.argmax(tmpArray, axis=1) + iXMin # minImage results[j + 3 * nRois][i, :(jEnd - jStart)] = \ numpy.argmin(tmpArray, axis=1) + iXMin jStart = jEnd outputDict = {'images':results, 'names':names} return outputDict def getFileListFromPattern(pattern, begin, end, increment=None): if type(begin) == type(1): begin = [begin] if type(end) == type(1): end = [end] if len(begin) != len(end): raise ValueError(\ "Begin list and end list do not have same length") if increment is None: increment = [1] * len(begin) elif type(increment) == type(1): increment = [increment] if len(increment) != len(begin): raise ValueError(\ "Increment list and begin list do not have same length") fileList = [] if len(begin) == 1: for j in range(begin[0], end[0] + increment[0], increment[0]): fileList.append(pattern % (j)) elif len(begin) == 2: for j in range(begin[0], end[0] + increment[0], increment[0]): for k in range(begin[1], end[1] + increment[1], increment[1]): fileList.append(pattern % (j, k)) elif len(begin) == 3: raise ValueError("Cannot handle three indices yet.") for j in range(begin[0], end[0] + increment[0], increment[0]): for k in range(begin[1], end[1] + increment[1], increment[1]): for l in range(begin[2], end[2] + increment[2], increment[2]): fileList.append(pattern % (j, k, l)) else: raise ValueError("Cannot handle more than three indices.") return fileList if __name__ == "__main__": DEBUG = True import glob import sys from PyMca5.PyMca import EDFStack from PyMca5.PyMca import ArraySave import getopt options = '' longoptions = ['cfg=', 'outdir=', 'tif=', #'listfile=', 'filepattern=', 'begin=', 'end=', 'increment=', "outfileroot="] try: opts, args = getopt.getopt( sys.argv[1:], options, longoptions) except: print(sys.exc_info()[1]) sys.exit(1) fileRoot = "" outputDir = None fileindex = 0 filepattern=None begin = None end = None increment=None tif=0 for opt, arg in opts: if opt in ('--cfg'): configurationFile = arg elif opt in '--begin': if "," in arg: begin = [int(x) for x in arg.split(",")] else: begin = [int(arg)] elif opt in '--end': if "," in arg: end = [int(x) for x in arg.split(",")] else: end = int(arg) elif opt in '--increment': if "," in arg: increment = [int(x) for x in arg.split(",")] else: increment = int(arg) elif opt in '--filepattern': filepattern = arg.replace('"', '') filepattern = filepattern.replace("'", "") elif opt in '--outdir': outputDir = arg elif opt in '--outfileroot': fileRoot = arg elif opt in ['--tif', '--tiff']: tif = int(arg) if filepattern is not None: if (begin is None) or (end is None): raise ValueError(\ "A file pattern needs at least a set of begin and end indices") if filepattern is not None: fileList = getFileListFromPattern(filepattern, begin, end, increment=increment) else: fileList = args if len(fileList): dataStack = EDFStack.EDFStack(fileList, dtype=numpy.float32) else: print("OPTIONS:", longoptions) sys.exit(0) if outputDir is None: print("RESULTS WILL NOT BE SAVED: No output directory specified") t0 = time.time() worker = StackROIBatch() worker.setConfigurationFile(configurationFile) result = worker.batchROIMultipleSpectra(y=dataStack) if outputDir is not None: imageNames = result['names'] images = result['images'] nImages = images.shape[0] if fileRoot in [None, ""]: fileRoot = "images" if not os.path.exists(outputDir): os.mkdir(outputDir) imagesDir = os.path.join(outputDir, "IMAGES") if not os.path.exists(imagesDir): os.mkdir(imagesDir) imageList = [None] * (nImages) fileImageNames = [None] * (nImages) j = 0 for i in range(nImages): name = imageNames[i].replace(" ", "-") fileImageNames[j] = name imageList[j] = images[i] j += 1 fileName = os.path.join(imagesDir, fileRoot+".edf") ArraySave.save2DArrayListAsEDF(imageList, fileName, labels=fileImageNames) fileName = os.path.join(imagesDir, fileRoot+".csv") ArraySave.save2DArrayListAsASCII(imageList, fileName, csv=True, labels=fileImageNames) if tif: i = 0 for i in range(len(fileImageNames)): label = fileImageNames[i] fileName = os.path.join(imagesDir, fileRoot + fileImageNames[i] + ".tif") ArraySave.save2DArrayListAsMonochromaticTiff([imageList[i]], fileName, labels=[label], dtype=numpy.float32) PyMca5-5.2.2/PyMca5/PyMcaCore/SPSLayer.py0000644000276300001750000002671113136054446017674 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" """ SPSLayer.py Data derived class to access spec shared memory """ import numpy ################################################################################ #from Data import * from PyMca5.PyMcaIO import spswrap as sps ################################################################################ SOURCE_TYPE = "SPS" class SPSLayer(object): """ Specializes Data class to access Spec shared memory. Interface: Data class interface. """ def __init__(self,refresh_interval=None,info={}): """ See Data.__init__ """ self.EdfObj=None info["Class"]="SPSData" #Data.__init__(self,refresh_interval,info) self.SourceName= None self.SourceInfo= None self.GetData = self.LoadSource def GetPageInfo(self,index={}): if 'SourceName' in index: self.SetSource(index['SourceName']) if 'Key' in index: info=self.GetData(index['Key']) return info[0] def AppendPage(self,scan_info, scan_data): return scan_info,scan_data def SetSource (self,source_name=None): """ Sets a new source for data retrieving, an spec version. If spec exists, self.Source will be this spec name. Parameters: source_name: name of spec version """ if source_name==self.SourceName: return 1 if (source_name != None) and (source_name in sps.getspeclist()): self.SourceName=source_name self.Source=self.SourceName return 1 else: self.SourceName=None self.Source=None return 0 def GetSourceInfo (self, key=None): """ Returns information about the Spec version set by SetSource, to give application possibility to know about it before loading. Returns a dictionary with the keys "Size" (number of possible keys to this source) and "KeyList" (list of all available keys in this source). Each element in "KeyList" is an shared memory array name. If key is set as an array name, returns information about it. """ if self.SourceName is not None: if key is None: return self.__GetSourceInfo() elif key in sps.getarraylist(self.SourceName): return self.__GetArrayInfo(key) return None def __GetSourceInfo(self): arraylist= [] for array in sps.getarraylist(self.SourceName): arrayinfo= sps.getarrayinfo(self.SourceName, array) arraytype= arrayinfo[2] arrayflag= arrayinfo[3] if arrayflag in (sps.IS_ARRAY, sps.IS_MCA, sps.IS_IMAGE) and arraytype!=sps.STRING: arraylist.append(array) source_info={} source_info["Size"]=len(arraylist) source_info["KeyList"]=arraylist return source_info def __GetArrayInfo(self,array): info={} info["SourceType"]=SOURCE_TYPE info["SourceName"]=self.SourceName info["Key"]=array info["Source"]=self.Source arrayinfo=sps.getarrayinfo (self.SourceName,array) info["rows"]=arrayinfo[0] info["cols"]=arrayinfo[1] info["type"]=arrayinfo[2] info["flag"]=arrayinfo[3] counter=sps.updatecounter (self.SourceName,array) info["updatecounter"]=counter envdict={} keylist=sps.getkeylist (self.SourceName,array+"_ENV") for i in keylist: val=sps.getenv(self.SourceName,array+"_ENV",i) envdict[i]=val info["envdict"]=envdict calibarray= array + "_PARAM" if calibarray in sps.getarraylist(self.SourceName): try: data= sps.getdata(self.SourceName, calibarray) updc= sps.updatecounter(self.SourceName, calibarray) info["EnvKey"]= calibarray info["McaCalib"]= data.tolist()[0] info["env_updatecounter"]= updc except: pass if array in ["XIA_DATA", "XIA_BASELINE"]: envarray= "XIA_DET" if envarray in sps.getarraylist(self.SourceName): try: data= sps.getdata(self.SourceName, envarray) updc= sps.updatecounter(self.SourceName, envarray) info["EnvKey"]= envarray info["Detectors"]= data.tolist()[0] info["env_updatecounter"]= updc except: pass return info def LoadSource(self,key_list="ALL",append=0,invalidate=1,row="ALL",col="ALL"): """ Creates a given number of pages, getting data from the actual source (set by SetSource) Parameters: key_list: list of all keys to be read from source. It is a list of string, shared memory array names, to be read from the file. It can be also one single string, if only one array is to be read. append: If non-zero appends to the end of page list. Otherwise, initializes the page list invalidate: if non-zero performas an invalidade call after loading row: If set to an integer, loads a single row (0-based indexed) col: If set to an integer, loads a single column (0-based indexed) """ #AS if append==0: Data.Delete(self) if type(key_list) == type(" "): key_list=(key_list,) output =[] if self.SourceName in sps.getspeclist(): if key_list == "ALL": key_list = sps.getarraylist(self.SourceName) for array in key_list: if array in sps.getarraylist(self.SourceName): info = self.__GetArrayInfo(array) info["row"] = row info["col"] = col if info["row"]!="ALL": data= sps.getdatarow(self.SourceName, array,info["row"]) if data is not None: data=numpy.reshape(data,(1, data.shape[0])) elif info["col"]!="ALL": data= sps.getdatacol(self.SourceName, array, info["col"]) if data is not None: data=numpy.reshape(data, (data.shape[0], 1)) else: data=sps.getdata (self.SourceName, array) #self.AppendPage(info,data) output.append([info,data]) if len(output) == 1: return output[0] else: return output #AS if invalidate: self.Invalidate() def __RefreshPageOrig (source_obj,self,page): """ Virtual method, implements seeking for changes in data. Returns non-zero if the page was changed. If not implemented in the derived class, this class doesn't support dinamic changes monitoring. As pages can be copied to different Data objects, and can store the original RefreshPage method for updating, source_obj refers to the object that was origin of the page data, while self indicates the object that actually owns the page with index page. It was done this way because if it is stored the reference to the unbound method, python doesn't allow you to call it with an object of different data type. Important: Derived classes shall update the page: self.Pages[page] but not: source_obj.Pages[page] """ if (self.GetItemPageInfo("SourceType",page)==SOURCE_TYPE): specname=self.GetItemPageInfo("SourceName",page) arrayname=self.GetItemPageInfo("Key",page) updatecounter=self.GetItemPageInfo("updatecounter",page) if (updatecounter!=None) and (arrayname!=None) and (specname!=None): if specname in sps.getspeclist(): if arrayname in sps.getarraylist(specname): counter=sps.updatecounter (specname,arrayname) if (counter != updatecounter): info=self.GetPageInfo(page) info.update(self.__GetArrayInfo(arrayname)) if info["row"]!="ALL": data= sps.getdatarow(specname,arrayname,info["row"]) elif info["col"]!="ALL": data= sps.getdatacol(specname,arrayname,info["col"]) else: data=sps.getdata (specname,arrayname) self.Pages[page].Array=data return 1 infoname= self.GetItemPageInfo("EnvKey") infoupdc= self.GetItemPageInfo("env_updatecounter") if (infoupdc!=None) and (infoname!=None) and (specname!=None): if infoname in sps.getarraylist(specname): counter= sps.updatecounter(specname,infoname) if (counter!=infoupdc): info= self.GetPageInfo(page) info.update(self.__GetArrayInfo(arrayname)) return 1 return 0 def RefreshPage(self,sourcename,key): specname = sourcename arrayname= key if not sps.specrunning(specname): return 0 if sps.isupdated(specname,arrayname): return 1 else: return 0 ################################################################################ #EXEMPLE CODE: if __name__ == "__main__": import sys,time try: obj=SPSLayer() specname=sys.argv[1] arrayname=sys.argv[2] obj.SetSource(specname) obj.LoadSource(arrayname) while(1): time.sleep(1) print(obj.RefreshPage(specname,arrayname)) except: print("Usage: SPSLayer.py ") sys.exit() for i in range (obj.GetNumberPages()): print(obj.GetPageInfo(i)) print(obj.GetPageArray(i)) PyMca5-5.2.2/PyMca5/PyMcaCore/EdfFileDataSource.py0000644000276300001750000002513713136054446021504 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from . import DataObject from PyMca5.PyMcaIO import EdfFile import types import sys import os import numpy SOURCE_TYPE = "EdfFile" DEBUG = 0 class EdfFileDataSource(object): def __init__(self,nameInput, fastedf=False): if type(nameInput) == list: nameList = nameInput else: nameList = [nameInput] if sys.version < '3.0': stringTypes = [types.StringType, types.UnicodeType] else: stringTypes = [type("a"), type(eval('b"a"'))] for name in nameList: if type(name) not in stringTypes: raise TypeError("Constructor needs string as first argument") self.sourceName = nameInput self.sourceType = SOURCE_TYPE self.__sourceNameList = nameList #this is to be added #self._fastedf = True self._fastedf = fastedf if fastedf: print("fastedf is unsafe!") self.refresh() def refresh(self): self._sourceObjectList=[] for name in self.__sourceNameList: self._sourceObjectList.append(EdfFile.EdfFile(name, access='rb', fastedf=self._fastedf)) self.__lastKeyInfo = {} def getSourceInfo(self): """ Returns information about the EdfFile object created by SetSource, to give application possibility to know about it before loading. Returns a dictionary with the key "KeyList" (list of all available keys in this source). Each element in "KeyList" has the form 'n1.n2' where n1 is the source number and n2 image number in file starting at 1. """ return self.__getSourceInfo() def __getSourceInfo(self): SourceInfo={} SourceInfo["SourceType"]=SOURCE_TYPE SourceInfo["KeyList"]=[] i = 0 for sourceObject in self._sourceObjectList: i+=1 nimages = sourceObject.GetNumImages() for n in range(nimages): SourceInfo["KeyList"].append("%d.%d" % (i,n+1)) SourceInfo["Size"]=len(SourceInfo["KeyList"]) return SourceInfo def getKeyInfo(self,key): if key in self.getSourceInfo()['KeyList']: return self.__getKeyInfo(key) else: #should we raise a KeyError? if DEBUG: print("Error key not in list ") return {} def __getKeyInfo(self,key): try: index,image = key.split(".") index = int(index)-1 image = int(image)-1 except: #should we rise an error? if DEBUG: print("Error trying to interpret key =",key) return {} sourceObject = self._sourceObjectList[index] info= sourceObject.GetStaticHeader(image) info.update(sourceObject.GetHeader(image)) info["SourceType"] = SOURCE_TYPE #doubts about if refer to the list or to the individual file info["SourceName"] = self.sourceName info["Key"] = key #specific info of interest info['FileName'] = sourceObject.FileName info["rows"] = info['Dim_2'] info["cols"] = info['Dim_1'] info["type"] = info['DataType'] if 'MCA start ch' in info: info['Channel0'] = int(info['MCA start ch']) else: info['Channel0'] = 0 if not ( 'McaCalib' in info): if ('MCA a' in info) and\ ('MCA b' in info) and\ ('MCA c' in info): info['McaCalib'] = [float(info['MCA a']), float(info['MCA b']), float(info['MCA c'])] else: info['McaCalib'] = [ 0.0, 1.0, 0.0] else: if type(info['McaCalib']) in [type(" ")]: info['McaCalib'] = info['McaCalib'].replace("[","") info['McaCalib'] = info['McaCalib'].replace("]","") cala, calb, calc = info['McaCalib'].split(",") info['McaCalib'] = [float(cala), float(calb), float(calc)] self.__lastKeyInfo[key] = os.path.getmtime(sourceObject.FileName) return info def getDataObject(self,key,selection=None): """ selection: a dictionnary with the keys pos and size: (x), (x,y) or (x,y,z) tuples defining a roi If not defined, takes full array """ sourcekeys = self.getSourceInfo()['KeyList'] #a key corresponds to an image key_split= key.split(".") image_key= key_split[0]+"."+key_split[1] if image_key not in sourcekeys: #if image_key == "0.0": # #this is in fact a special selection: The SUM # pass #else: raise KeyError("Key %s not in source keys" % image_key) #create data object data = DataObject.DataObject() data.info = self.__getKeyInfo(image_key) data.info ['selection'] = selection data.info['selectiontype'] = "2D" index = key_split[0] image = key_split[1] index = int(index)-1 image = int(image)-1 MCAIMP = 0 if len(key_split) == 4: if DEBUG: print("mca like selection") #print data.info if 1: MCAIMP = 1 if key_split[2].upper() == 'R': pos = (0, int(key_split[3])) size = (int(data.info['Dim_1']), 1) elif key_split[2].upper() == 'C': pos = (int(key_split[3]), 0) size = (1,int(data.info['Dim_2'])) data.info['selectiontype'] = "1D" else: if DEBUG: print("mca like selection not yet implemented") pos = None size = None data.info['selectiontype'] = "1D" elif selection is None: pos = None size = None else: if "pos" in selection: data.info["pos"]=selection['pos'] else: data.info['pos']=None if "size" in selection: data.info["size"]=selection['size'] else: data.info['size']=None pos = data.info['pos'] size = data.info['size'] sourceObject = self._sourceObjectList[index] data.data=sourceObject.GetData(image,Pos=pos,Size=size) data.info['rows'], data.info['cols'] = data.data.shape[0:2] if data.info['selectiontype'] == "1D": if MCAIMP: data.y = [numpy.ravel(data.data[:]).astype(numpy.float)] else: if key_split[2].upper() == 'C': data.y=[data.data[:,int(key_split[3])-1].astype(numpy.float)] elif key_split[2].upper() == 'R': data.y=[data.data[int(key_split[3])-1, :].astype(numpy.float)] else: raise ValueError("Unknown key %s" % key) ch0 = int(data.info['Channel0']) data.x = [ch0+numpy.arange(len(data.y[0])).astype(numpy.float)] data.m = None data.data = None #print "data.x.shape ", data.x[0].shape #print "data.y.shape ", data.y[0].shape return data def isUpdated(self, sourceName, key): #sourceName is redundant? index,image = key.split(".") index = int(index)-1 lastmodified = os.path.getmtime(self.__sourceNameList[index]) if lastmodified != self.__lastKeyInfo[key]: self.__lastKeyInfo[key] = lastmodified return True else: return False source_types = { SOURCE_TYPE: EdfFileDataSource} def DataSource(name="", source_type=SOURCE_TYPE): try: sourceClass = source_types[source_type] except KeyError: #ERROR invalid source type raise TypeError("Invalid Source Type, source type should be one of %s" %\ source_types.keys()) return sourceClass(name) if __name__ == "__main__": import time try: sourcename=sys.argv[1] key =sys.argv[2] except: print("Usage: EdfFileDataSource ") sys.exit() #one can use this: obj = EdfFileDataSource(sourcename) #or this: obj = DataSource(sourcename) #data = obj.getData(key,selection={'pos':(10,10),'size':(40,40)}) #data = obj.getDataObject(key,selection={'pos':None,'size':None}) t0 = time.time() data = obj.getDataObject(key,selection=None) print("elapsed = ",time.time() - t0) print("info = ",data.info) if data.data is not None: print("data shape = ",data.data.shape) print(numpy.ravel(data.data)[0:10]) else: print(data.y[0].shape) print(numpy.ravel(data.y[0])[0:10]) data = obj.getDataObject('1.1',selection=None) r = int(key.split('.')[-1]) print(" data[%d,0:10] = " % (r-1),data.data[r-1 ,0:10]) print(" data[0:10,%d] = " % (r-1),data.data[0:10, r-1]) PyMca5-5.2.2/PyMca5/PyMcaCore/StackBase.py0000644000276300001750000014650213137667364020105 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" """ Base class to handle stacks. """ from . import DataObject import numpy import time import os import sys import glob DEBUG = 0 PLUGINS_DIR = None try: import PyMca5 if os.path.exists(os.path.join(os.path.dirname(__file__), "PyMcaPlugins")): from PyMca5 import PyMcaPlugins PLUGINS_DIR = os.path.dirname(PyMcaPlugins.__file__) else: directory = os.path.dirname(__file__) while True: if os.path.exists(os.path.join(directory, "PyMcaPlugins")): PLUGINS_DIR = os.path.join(directory, "PyMcaPlugins") break directory = os.path.dirname(directory) if len(directory) < 5: break userPluginsDirectory = PyMca5.getDefaultUserPluginsDirectory() PYMCA_PLUGINS_DIR = PLUGINS_DIR if userPluginsDirectory is not None: if PLUGINS_DIR is None: PLUGINS_DIR = userPluginsDirectory else: PLUGINS_DIR = [PLUGINS_DIR, userPluginsDirectory] except: PYMCA_PLUGINS_DIR = None pass class StackBase(object): def __init__(self): self._stack = DataObject.DataObject() self._stack.x = None self._stackImageData = None self._selectionMask = None self._finiteData = True self._ROIDict = {'name': "ICR", 'type': "CHANNEL", 'calibration': [0, 1.0, 0.0], 'from': 0, 'to': -1} self._ROIImageDict = {'ROI': None, 'Maximum': None, 'Minimum': None, 'Left': None, 'Middle': None, 'Right': None, 'Background': None} self.__ROIImageCalculationIsUsingSuppliedEnergyAxis = False self._ROIImageList = [] self._ROIImageNames = [] self.__pluginDirList = [] self.pluginList = [] self.pluginInstanceDict = {} self.getPlugins() # beyond 5 million elements, iterate to calculate the sums # preventing huge intermediate use of memory when calculating # the sums. self._dynamicLimit = 5.0E6 self._tryNumpy = True def setPluginDirectoryList(self, dirlist): for directory in dirlist: if not os.path.exists(directory): raise IOError("Directory:\n%s\ndoes not exist." % directory) self.__pluginDirList = dirlist def getPluginDirectoryList(self): return self.__pluginDirList def getPlugins(self): """ Import or reloads all the available plugins. It returns the number of plugins loaded. """ if PLUGINS_DIR is not None: if self.__pluginDirList == []: if type(PLUGINS_DIR) == type([]): self.__pluginDirList = PLUGINS_DIR else: self.__pluginDirList = [PLUGINS_DIR] self.pluginList = [] for directory in self.__pluginDirList: if directory is None: continue if not os.path.exists(directory): raise IOError("Directory:\n%s\ndoes not exist." % directory) fileList = glob.glob(os.path.join(directory, "*.py")) targetMethod = 'getStackPluginInstance' # prevent unnecessary imports moduleList = [] for fname in fileList: # in Python 3, rb implies bytes and not strings f = open(fname, 'r') lines = f.readlines() f.close() f = None for line in lines: if line.startswith("def"): if line.split(" ")[1].startswith(targetMethod): moduleList.append(fname) break for module in moduleList: try: pluginName = os.path.basename(module)[:-3] if directory == PYMCA_PLUGINS_DIR: plugin = "PyMcaPlugins." + pluginName else: plugin = pluginName if directory not in sys.path: sys.path.insert(0, directory) if pluginName in self.pluginList: idx = self.pluginList.index(pluginName) del self.pluginList[idx] if plugin in self.pluginInstanceDict.keys(): del self.pluginInstanceDict[plugin] if plugin in sys.modules: if hasattr(sys.modules[plugin], targetMethod): if sys.version < '3.0': reload(sys.modules[plugin]) else: import imp imp.reload(sys.modules[plugin]) else: try: __import__(plugin) except: if directory == PYMCA_PLUGINS_DIR: plugin = "PyMca5.PyMcaPlugins." + pluginName __import__(plugin) else: raise if hasattr(sys.modules[plugin], targetMethod): self.pluginInstanceDict[plugin] = \ sys.modules[plugin].getStackPluginInstance(self) self.pluginList.append(plugin) except: if DEBUG: print("Problem importing module %s" % plugin) raise return len(self.pluginList) def setStack(self, stack, mcaindex=2, fileindex=None): #unfortunaly python 3 reports #isinstance(stack, DataObject.DataObject) as false #for DataObject derived classes like OmnicMap!!!! if id(stack) == id(self._stack): # just updated pass elif hasattr(stack, "shape") and\ hasattr(stack, "dtype"): # array like self._stack.x = None self._stack.data = stack self._stack.info['SourceName'] = "Data of unknown origin" elif isinstance(stack, DataObject.DataObject) or\ ("DataObject.DataObject" in ("%s" % type(stack))) or\ ("QStack" in ("%s" % type(stack))) or\ ("Map" in ("%s" % type(stack)))or\ ("Stack" in ("%s" % type(stack))): self._stack = stack self._stack.info['SourceName'] = stack.info.get('SourceName', "Data of unknown origin") else: self._stack.x = None self._stack.data = stack self._stack.info['SourceName'] = "Data of unknown origin" info = self._stack.info mcaIndex = info.get('McaIndex', mcaindex) if (mcaIndex < 0) and (len(self._stack.data.shape) == 3): mcaIndex = len(self._stack.data.shape) + mcaIndex fileIndex = info.get('FileIndex', fileindex) if fileIndex is None: if mcaIndex == 2: fileIndex = 0 elif mcaIndex == 0: fileIndex = 1 else: fileIndex = 0 for i in range(3): if i not in [mcaIndex, fileIndex]: otherIndex = i break self.mcaIndex = mcaIndex self.fileIndex = fileIndex self.otherIndex = otherIndex self._stack.info['McaCalib'] = info.get('McaCalib', [0.0, 1.0, 0.0]) self._stack.info['Channel0'] = info.get('Channel0', 0.0) self._stack.info['McaIndex'] = mcaIndex self._stack.info['FileIndex'] = fileIndex self._stack.info['OtherIndex'] = otherIndex self.stackUpdated() def stackUpdated(self): """ Recalculates the different images associated to the stack """ self._tryNumpy = True if hasattr(self._stack.data, "size"): if self._stack.data.size > self._dynamicLimit: self._tryNumpy = False else: # is not a numpy ndarray in any case self._tryNumpy = False previousStackImageSize = None if self._stackImageData is not None: previousStackImageSize = self._stackImageData.size if self._tryNumpy and isinstance(self._stack.data, numpy.ndarray): self._stackImageData = numpy.sum(self._stack.data, axis=self.mcaIndex, dtype=numpy.float) #original ICR mca if DEBUG: print("(self.otherIndex, self.fileIndex) = (%d, %d)" %\ (self.otherIndex, self.fileIndex)) i = max(self.otherIndex, self.fileIndex) j = min(self.otherIndex, self.fileIndex) mcaData0 = numpy.sum(numpy.sum(self._stack.data, axis=i, dtype=numpy.float), j) else: if DEBUG: t0 = time.time() shape = self._stack.data.shape if self.mcaIndex in [2, -1]: self._stackImageData = numpy.zeros((shape[0], shape[1]), dtype=numpy.float) mcaData0 = numpy.zeros((shape[2],), numpy.float) step = 1 if hasattr(self._stack, "monitor"): monitor = self._stack.monitor[:] monitor.shape = shape[2] else: monitor = numpy.ones((shape[2],), numpy.float) for i in range(shape[0]): tmpData = self._stack.data[i:i+step,:,:] numpy.add(self._stackImageData[i:i+step,:], numpy.sum(tmpData, 2), self._stackImageData[i:i+step,:]) tmpData.shape = step*shape[1], shape[2] numpy.add(mcaData0, numpy.sum(tmpData, 0), mcaData0) elif self.mcaIndex == 0: self._stackImageData = numpy.zeros((shape[1], shape[2]), dtype=numpy.float) mcaData0 = numpy.zeros((shape[0],), numpy.float) step = 1 for i in range(shape[0]): tmpData = self._stack.data[i:i+step,:,:] tmpData.shape = tmpData.shape[1:] numpy.add(self._stackImageData, tmpData, self._stackImageData) mcaData0[i] = tmpData.sum() else: raise ValueError("Unhandled case 1D index = %d" % self.mcaIndex) if DEBUG: print("Print dynamic loading elapsed = %f" % (time.time() - t0)) if DEBUG: print("__stackImageData.shape = ", self._stackImageData.shape) if previousStackImageSize != self._stackImageData.size: self._clearPositioners() calib = self._stack.info.get('McaCalib', [0.0, 1.0, 0.0]) dataObject = DataObject.DataObject() dataObject.info = {"McaCalib": calib, "selectiontype": "1D", "SourceName": "Stack", "Key": "SUM"} if not hasattr(self._stack, 'x'): self._stack.x = None if self._stack.x in [None, []]: self._stack.x = [numpy.arange(len(mcaData0)).astype(numpy.float)+\ self._stack.info.get('Channel0', 0.0)] dataObject.x = [self._stack.x[0]] else: # for the time being it can only contain one axis dataObject.x = [self._stack.x[0]] dataObject.y = [mcaData0] #store the original spectrum self._mcaData0 = dataObject #add the original image self.showOriginalImage() #add the mca goodData = numpy.isfinite(self._mcaData0.y[0].sum()) if goodData: self._finiteData = True self.showOriginalMca() else: self._finiteData = False self.handleNonFiniteData() #calculate the ROIs self._ROIDict = {'name': "ICR", 'type': "CHANNEL", 'calibration': calib, 'from': dataObject.x[0][0], 'to': dataObject.x[0][-1]} self.updateROIImages() for key in self.pluginInstanceDict.keys(): self.pluginInstanceDict[key].stackUpdated() def getStackOriginalCurve(self): # TODO: Make sure copies are returned x = self._mcaData0.x[0] y = self._mcaData0.y[0] legend = "Stack SUM" info = self._mcaData0.info return [x, y, legend, info] def isStackFinite(self): """ Returns True if stack does not contain inf or nans Returns False if stack is not finite """ return self._finiteData def handleNonFiniteData(self): text = "Your data contain infinite values or nans.\n" text += "Pixels containing those values will be ignored." print(text) def updateROIImages(self, ddict=None): if ddict is None: updateROIDict = False ddict = self._ROIDict else: updateROIDict = True xw = ddict['calibration'][0] + \ ddict['calibration'][1] * self._mcaData0.x[0] + \ ddict['calibration'][2] * (self._mcaData0.x[0] ** 2) if ddict["name"] == "ICR": i1 = 0 i2 = self._stack.data.shape[self.mcaIndex] imiddle = int(0.5 * (i1 + i2)) pos = 0.5 * (ddict['from'] + ddict['to']) if ddict["type"].upper() != "CHANNEL": imiddle = max(numpy.nonzero(xw <= pos)[0]) elif ddict["type"].upper() != "CHANNEL": #energy like ROI if xw[0] < xw[-1]: i1 = numpy.nonzero(ddict['from'] <= xw)[0] if len(i1): i1 = min(i1) else: if DEBUG: print("updateROIImages: nothing to be made") return i2 = numpy.nonzero(xw <= ddict['to'])[0] if len(i2): i2 = max(i2) + 1 else: if DEBUG: print("updateROIImages: nothing to be made") return pos = 0.5 * (ddict['from'] + ddict['to']) imiddle = max(numpy.nonzero(xw <= pos)[0]) else: i2 = numpy.nonzero(ddict['from'] <= xw)[0] if len(i2): i2 = max(i2) else: if DEBUG: print("updateROIImages: nothing to be made") return i1 = numpy.nonzero(xw <= ddict['to'])[0] if len(i1): i1 = min(i1) + 1 else: if DEBUG: print("updateROIImages: nothing to be made") return pos = 0.5 * (ddict['from'] + ddict['to']) imiddle = min(numpy.nonzero(xw <= pos)[0]) else: i1 = numpy.nonzero(ddict['from'] <= self._mcaData0.x[0])[0] if len(i1): if self._mcaData0.x[0][0] > self._mcaData0.x[0][-1]: i1 = max(i1) else: i1 = min(i1) else: i1 = 0 i1 = max(i1, 0) i2 = numpy.nonzero(self._mcaData0.x[0] <= ddict['to'])[0] if len(i2): if self._mcaData0.x[0][0] > self._mcaData0.x[0][-1]: i2 = min(i2) else: i2 = max(i2) else: i2 = 0 i2 = min(i2 + 1, self._stack.data.shape[self.mcaIndex]) pos = 0.5 * (ddict['from'] + ddict['to']) if self._mcaData0.x[0][0] > self._mcaData0.x[0][-1]: imiddle = min(numpy.nonzero(self._mcaData0.x[0] <= pos)[0]) else: imiddle = max(numpy.nonzero(self._mcaData0.x[0] <= pos)[0]) xw = self._mcaData0.x[0] self._ROIImageDict = self.calculateROIImages(i1, i2, imiddle, energy=xw) if updateROIDict: self._ROIDict.update(ddict) roiKeys = ['ROI', 'Maximum', 'Minimum', 'Left', 'Middle', 'Right', 'Background'] nImages = len(roiKeys) imageList = [None] * nImages for i in range(nImages): key = roiKeys[i] imageList[i] = self._ROIImageDict[key] title = "%s" % ddict["name"] if ddict["name"] == "ICR": cursor = "Energy" if abs(ddict['calibration'][0]) < 1.0e-5: if abs(ddict['calibration'][1] - 1) < 1.0e-5: if abs(ddict['calibration'][2]) < 1.0e-5: cursor = "Channel" elif ddict["type"].upper() == "CHANNEL": cursor = "Channel" else: cursor = ddict["type"] imageNames = [title, '%s Maximum' % title, '%s Minimum' % title, '%s %.6g' % (cursor, xw[i1]), '%s %.6g' % (cursor, xw[imiddle]), '%s %.6g' % (cursor, xw[(i2 - 1)]), '%s Background' % title] if self.__ROIImageCalculationIsUsingSuppliedEnergyAxis: imageNames[1] = "%s %s at Max." % (title, cursor) imageNames[2] = "%s %s at Min." % (title, cursor) self.showROIImageList(imageList, image_names=imageNames) def showOriginalImage(self): if DEBUG: print("showOriginalImage to be implemented") def showOriginalMca(self): if DEBUG: print("showOriginalMca to be implemented") def showROIImageList(self, imageList, image_names=None): self._ROIImageList = imageList self._ROIImageNames = image_names self._stackROIImageListUpdated() def _stackROIImageListUpdated(self): for key in self.pluginInstanceDict.keys(): self.pluginInstanceDict[key].stackROIImageListUpdated() def getStackROIImagesAndNames(self): return self._ROIImageList, self._ROIImageNames def getStackOriginalImage(self): return self._stackImageData def calculateMcaDataObject(self, normalize=False): #original ICR mca if self._stackImageData is None: return mcaData = None goodData = numpy.isfinite(self._mcaData0.y[0].sum()) if DEBUG: print("Stack data is not finite") if (self._selectionMask is None) and goodData: if normalize: if DEBUG: print("Case 1") npixels = self._stackImageData.shape[0] *\ self._stackImageData.shape[1] * 1.0 dataObject = DataObject.DataObject() dataObject.info.update(self._mcaData0.info) dataObject.x = [self._mcaData0.x[0]] dataObject.y = [self._mcaData0.y[0] / npixels]; else: if DEBUG: print("Case 2") dataObject = self._mcaData0 return dataObject #deal with NaN and inf values if self._selectionMask is None: if (self._ROIImageDict["ROI"] is not None) and\ (self.mcaIndex != 0): actualSelectionMask = numpy.isfinite(self._ROIImageDict["ROI"]) else: actualSelectionMask = numpy.isfinite(self._stackImageData) else: if (self._ROIImageDict["ROI"] is not None) and\ (self.mcaIndex != 0): actualSelectionMask = self._selectionMask * numpy.isfinite(self._ROIImageDict["ROI"]) else: actualSelectionMask = self._selectionMask * numpy.isfinite(self._stackImageData) npixels = actualSelectionMask.sum() if (npixels == 0) and goodData: if normalize: if DEBUG: print("Case 3") npixels = self._stackImageData.shape[0] * self._stackImageData.shape[1] * 1.0 dataObject = DataObject.DataObject() dataObject.info.update(self._mcaData0.info) dataObject.x = [self._mcaData0.x[0]] dataObject.y = [self._mcaData0.y[0] / npixels] else: if DEBUG: print("Case 4") dataObject = self._mcaData0 return dataObject mcaData = numpy.zeros(self._mcaData0.y[0].shape, numpy.float) n_nonselected = self._stackImageData.shape[0] *\ self._stackImageData.shape[1] - npixels if goodData: if n_nonselected < npixels: arrayMask = (actualSelectionMask == 0) else: arrayMask = (actualSelectionMask > 0) else: arrayMask = (actualSelectionMask > 0) if DEBUG: print("Reached MCA calculation") cleanMask = numpy.nonzero(arrayMask) if DEBUG: print("self.fileIndex, self.mcaIndex = %d , %d" %\ (self.fileIndex, self.mcaIndex)) if DEBUG: t0 = time.time() if len(cleanMask[0]) and len(cleanMask[1]): if DEBUG: print("USING MASK") cleanMask = numpy.array(cleanMask).transpose() if self.fileIndex == 2: if self.mcaIndex == 0: if isinstance(self._stack.data, numpy.ndarray): if DEBUG: print("In memory case 0") for r, c in cleanMask: mcaData += self._stack.data[:, r, c] else: if DEBUG: print("Dynamic loading case 0") #no other choice than to read all images #for the time being, one by one rMin = cleanMask[0][0] rMax = cleanMask[-1][0] cMin = cleanMask[:, 1].min() cMax = cleanMask[:, 1].max() #rMin, cMin = cleanMask.min(axis=0) #rMax, cMax = cleanMask.max(axis=0) tmpMask = arrayMask[rMin:(rMax+1),cMin:(cMax+1)] tmpData = numpy.zeros((1, rMax-rMin+1,cMax-cMin+1)) for i in range(self._stack.data.shape[0]): tmpData[0:1,:,:] = self._stack.data[i:i+1,rMin:(rMax+1),cMin:(cMax+1)] #multiplication is faster than selection mcaData[i] = (tmpData[0]*tmpMask).sum(dtype=numpy.float) elif self.mcaIndex == 1: if isinstance(self._stack.data, numpy.ndarray): for r, c in cleanMask: mcaData += self._stack.data[r,:,c] else: raise IndexError("Dynamic loading case 1") else: raise IndexError("Wrong combination of indices. Case 0") elif self.fileIndex == 1: if self.mcaIndex == 0: if isinstance(self._stack.data, numpy.ndarray): if DEBUG: print("In memory case 2") for r, c in cleanMask: mcaData += self._stack.data[:, r, c] else: if DEBUG: print("Dynamic loading case 2") #no other choice than to read all images #for the time being, one by one if 1: rMin = cleanMask[0][0] rMax = cleanMask[-1][0] cMin = cleanMask[:, 1].min() cMax = cleanMask[:, 1].max() #rMin, cMin = cleanMask.min(axis=0) #rMax, cMax = cleanMask.max(axis=0) tmpMask = arrayMask[rMin:(rMax + 1), cMin:(cMax + 1)] tmpData = numpy.zeros((1, rMax - rMin + 1, cMax - cMin + 1)) for i in range(self._stack.data.shape[0]): tmpData[0:1, :, :] = self._stack.data[i:i + 1, rMin:(rMax + 1), cMin:(cMax + 1)] #multiplication is faster than selection mcaData[i] = (tmpData[0] * tmpMask).sum(dtype=numpy.float) if 0: tmpData = numpy.zeros((1, self._stack.data.shape[1], self._stack.data.shape[2])) for i in range(self._stack.data.shape[0]): tmpData[0:1, :, :] = self._stack.data[i:i + 1,:,:] #multiplication is faster than selection #tmpData[arrayMask].sum() in my machine mcaData[i] = (tmpData[0] * arrayMask).sum(dtype=numpy.float) elif self.mcaIndex == 2: if isinstance(self._stack.data, numpy.ndarray): if DEBUG: print("In memory case 3") for r, c in cleanMask: mcaData += self._stack.data[r, c, :] else: if DEBUG: print("Dynamic loading case 3") #try to minimize access to the file row_list = [] row_dict = {} for r, c in cleanMask: if r not in row_list: row_list.append(r) row_dict[r] = [] row_dict[r].append(c) for r in row_list: tmpMcaData = self._stack.data[r:r + 1, row_dict[r], :] tmpMcaData.shape = -1, mcaData.shape[0] mcaData += numpy.sum(tmpMcaData, axis=0, dtype=numpy.float) else: raise IndexError("Wrong combination of indices. Case 1") elif self.fileIndex == 0: if self.mcaIndex == 1: if isinstance(self._stack.data, numpy.ndarray): if DEBUG: print("In memory case 4") for r, c in cleanMask: mcaData += self._stack.data[r, :, c] else: raise IndexError("Dynamic loading case 4") elif self.mcaIndex in [2, -1]: if isinstance(self._stack.data, numpy.ndarray): if DEBUG: print("In memory case 5") for r, c in cleanMask: mcaData += self._stack.data[r, c, :] else: if DEBUG: print("Dynamic loading case 5") #try to minimize access to the file row_list = [] row_dict = {} for r, c in cleanMask: if r not in row_list: row_list.append(r) row_dict[r] = [] row_dict[r].append(c) for r in row_list: tmpMcaData = self._stack.data[r:r + 1, row_dict[r], :] tmpMcaData.shape = -1, mcaData.shape[0] mcaData += tmpMcaData.sum(axis=0, dtype=numpy.float) else: raise IndexError("Wrong combination of indices. Case 2") else: raise IndexError("File index undefined") else: if DEBUG: print("NOT USING MASK !") if DEBUG: print("Mca sum elapsed = %f" % (time.time() - t0)) if goodData: if n_nonselected < npixels: mcaData = self._mcaData0.y[0] - mcaData if normalize: mcaData = mcaData / npixels calib = self._stack.info['McaCalib'] dataObject = DataObject.DataObject() dataObject.info = {"McaCalib": calib, "selectiontype": "1D", "SourceName": "Stack", "Key": "Selection"} dataObject.x = [self._mcaData0.x[0]] dataObject.y = [mcaData] return dataObject def calculateROIImages(self, index1, index2, imiddle=None, energy=None): if DEBUG: print("Calculating ROI images") i1 = min(index1, index2) i2 = max(index1, index2) if imiddle is None: imiddle = int(0.5 * (i1 + i2)) if energy is None: energy = self._mcaData0.x[0] if i1 == i2: dummy = numpy.zeros(self._stackImageData.shape, numpy.float) imageDict = {'ROI': dummy, 'Maximum': dummy, 'Minimum': dummy, 'Left': dummy, 'Middle': dummy, 'Right': dummy, 'Background': dummy} return imageDict isUsingSuppliedEnergyAxis = False if self.fileIndex == 0: if self.mcaIndex == 1: leftImage = self._stack.data[:, i1, :] middleImage = self._stack.data[:, imiddle, :] rightImage = self._stack.data[:, i2 - 1, :] dataImage = self._stack.data[:, i1:i2, :] background = 0.5 * (i2 - i1) * (leftImage + rightImage) roiImage = numpy.sum(dataImage, axis=1, dtype=numpy.float) maxImage = energy[(numpy.argmax(dataImage, axis=1) + i1)] minImage = energy[(numpy.argmin(dataImage, axis=1) + i1)] isUsingSuppliedEnergyAxis = True else: if DEBUG: t0 = time.time() if self._tryNumpy and\ isinstance(self._stack.data, numpy.ndarray): leftImage = self._stack.data[:, :, i1] middleImage = self._stack.data[:, :, imiddle] rightImage = self._stack.data[:, :, i2 - 1] dataImage = self._stack.data[:, :, i1:i2] background = 0.5 * (i2 - i1) * (leftImage + rightImage) roiImage = numpy.sum(dataImage, axis=2, dtype=numpy.float) maxImage = energy[numpy.argmax(dataImage, axis=2) + i1] minImage = energy[numpy.argmin(dataImage, axis=2) + i1] isUsingSuppliedEnergyAxis = True if DEBUG: print("Case 1 ROI image calculation elapsed = %f " %\ (time.time() - t0)) else: shape = self._stack.data.shape roiImage = numpy.zeros(self._stackImageData.shape, numpy.float) background = roiImage * 1 leftImage = roiImage * 1 middleImage = roiImage * 1 rightImage = roiImage * 1 maxImage = numpy.zeros(self._stackImageData.shape, numpy.uint) minImage = numpy.zeros(self._stackImageData.shape, numpy.uint) step = 1 for i in range(shape[0]): tmpData = self._stack.data[i:i+step,:, i1:i2] * 1 numpy.add(roiImage[i:i+step,:], numpy.sum(tmpData, axis=2,dtype=numpy.float), roiImage[i:i+step,:]) minImage[i:i + step,:] = i1 + numpy.argmin(tmpData, axis=2) maxImage[i:i + step, :] = i1 + numpy.argmax(tmpData, axis=2) leftImage[i:i + step, :] += tmpData[:, :, 0] middleImage[i:i + step, :] += tmpData[:, :, imiddle - i1] rightImage[i:i + step, :] += tmpData[:, :, -1] background = 0.5 * (i2 - i1) * (leftImage + rightImage) isUsingSuppliedEnergyAxis = True minImage = energy[minImage] maxImage = energy[maxImage] if DEBUG: print("2 Dynamic ROI image calculation elapsed = %f " %\ (time.time() - t0)) elif self.fileIndex == 1: if self.mcaIndex == 0: if DEBUG: t0 = time.time() if isinstance(self._stack.data, numpy.ndarray) and\ self._tryNumpy: leftImage = self._stack.data[i1, :, :] middleImage= self._stack.data[imiddle, :, :] rightImage = self._stack.data[i2 - 1, :, :] dataImage = self._stack.data[i1:i2, :, :] # this calculation is very slow but it is extremely useful # for XANES studies if 1: maxImage = energy[numpy.argmax(dataImage, axis=0) + i1] minImage = energy[numpy.argmin(dataImage, axis=0) + i1] else: # this is slower, but uses less memory maxImage = numpy.zeros(leftImage.shape, numpy.int32) minImage = numpy.zeros(leftImage.shape, numpy.int32) for i in range(i1, i2): tmpData = self._stack.data[i] tmpData.shape = leftImage.shape if i == i1: minImageData = tmpData * 1.0 maxImageData = tmpData * 1.0 minImage[:,:] = i1 maxImage[:,:] = i1 else: tmpIndex = numpy.where(tmpData < minImageData) minImage[tmpIndex] = i minImageData[tmpIndex] = tmpData[tmpIndex] tmpIndex = numpy.where(tmpData > maxImageData) maxImage[tmpIndex] = i maxImageData[tmpIndex] = tmpData[tmpIndex] minImage = energy[minImage] maxImage = energy[maxImage] isUsingSuppliedEnergyAxis = True background = 0.5 * (i2 - i1) * (leftImage + rightImage) roiImage = numpy.sum(dataImage, axis=0, dtype=numpy.float) if DEBUG: print("Case 3 ROI image calculation elapsed = %f " %\ (time.time() - t0)) else: shape = self._stack.data.shape roiImage = numpy.zeros(self._stackImageData.shape, numpy.float) background = roiImage * 1 leftImage = roiImage * 1 middleImage = roiImage * 1 rightImage = roiImage * 1 maxImage = numpy.zeros(roiImage.shape, numpy.int32) minImage = numpy.zeros(roiImage.shape, numpy.int32) istep = 1 for i in range(i1, i2): tmpData = self._stack.data[i:i + istep] tmpData.shape = roiImage.shape if i == i1: minImageData = tmpData * 1.0 maxImageData = tmpData * 1.0 minImage[:,:] = i1 maxImage[:,:] = i1 else: tmpIndex = numpy.where(tmpData < minImageData) minImage[tmpIndex] = i minImageData[tmpIndex] = tmpData[tmpIndex] tmpIndex = numpy.where(tmpData > maxImageData) maxImage[tmpIndex] = i maxImageData[tmpIndex] = tmpData[tmpIndex] numpy.add(roiImage, tmpData, roiImage) if (i == i1): leftImage = tmpData elif (i == imiddle): middleImage = tmpData elif i == (i2 - 1): rightImage = tmpData # the used approach is twice slower than argmax, but it # requires much less memory isUsingSuppliedEnergyAxis = True minImage = energy[minImage] maxImage = energy[maxImage] if i2 > i1: background = (leftImage + rightImage) * 0.5 * (i2 - i1) if DEBUG: print("Case 4 Dynamic ROI elapsed = %f" %\ (time.time() - t0)) else: if DEBUG: t0 = time.time() if self._tryNumpy and\ isinstance(self._stack.data, numpy.ndarray): leftImage = self._stack.data[:, :, i1] middleImage = self._stack.data[:, :, imiddle] rightImage = self._stack.data[:, :, i2 - 1] dataImage = self._stack.data[:, :, i1:i2] background = 0.5 * (i2 - i1) * (leftImage + rightImage) roiImage = numpy.sum(dataImage, axis=2, dtype=numpy.float) maxImage = energy[numpy.argmax(dataImage, axis=2) + i1] minImage = energy[numpy.argmin(dataImage, axis=2) + i1] isUsingSuppliedEnergyAxis = True if DEBUG: print("Case 5 ROI Image elapsed = %f" %\ (time.time() - t0)) else: shape = self._stack.data.shape roiImage = numpy.zeros(self._stackImageData.shape, numpy.float) background = roiImage * 1 leftImage = roiImage * 1 middleImage = roiImage * 1 rightImage = roiImage * 1 maxImage = roiImage * 1 minImage = roiImage * 1 step = 1 for i in range(shape[0]): tmpData = self._stack.data[i:i+step,:, i1:i2] * 1 numpy.add(roiImage[i:i+step,:], numpy.sum(tmpData, axis=2, dtype=numpy.float), roiImage[i:i+step,:]) numpy.add(minImage[i:i+step,:], numpy.min(tmpData, 2), minImage[i:i+step,:]) numpy.add(maxImage[i:i+step,:], numpy.max(tmpData, 2), maxImage[i:i+step,:]) leftImage[i:i+step, :] += tmpData[:, :, 0] middleImage[i:i+step, :] += tmpData[:, :, imiddle-i1] rightImage[i:i+step, :] += tmpData[:, :,-1] background = 0.5*(i2-i1)*(leftImage+rightImage) if DEBUG: print("Case 6 Dynamic ROI image calculation elapsed = %f" %\ (time.time() - t0)) else: #self.fileIndex = 2 if DEBUG: t0 = time.time() if self.mcaIndex == 0: leftImage = self._stack.data[i1] middleImage = self._stack.data[imiddle] rightImage = self._stack.data[i2 - 1] background = 0.5 * (i2 - i1) * (leftImage + rightImage) dataImage = self._stack.data[i1:i2] roiImage = numpy.sum(dataImage, axis=0, dtype=numpy.float) minImage = energy[numpy.argmin(dataImage, axis=0) + i1] maxImage = energy[numpy.argmax(dataImage, axis=0) + i1] isUsingSuppliedEnergyAxis = True if DEBUG: print("Case 7 Default ROI image calculation elapsed = %f" %\ (time.time() - t0)) else: leftImage = self._stack.data[:, i1, :] middleImage = self._stack.data[:, imiddle, :] rightImage = self._stack.data[:, i2 - 1, :] background = 0.5 * (i2 - i1) * (leftImage + rightImage) dataImage = self._stack.data[:, i1:i2, :] roiImage = numpy.sum(dataImage, axis=1, dtype=numpy.float) minImage = energy[numpy.argmin(dataImage, axis=1) + i1] maxImage = energy[numpy.argmax(dataImage, axis=1) + i1] isUsingSuppliedEnergyAxis = True if DEBUG: print("Case 8 Default ROI image calculation elapsed = %f" %\ (time.time() - t0)) imageDict = {'ROI': roiImage, 'Maximum': maxImage, 'Minimum': minImage, 'Left': leftImage, 'Middle': middleImage, 'Right': rightImage, 'Background': background} self.__ROIImageCalculationIsUsingSuppliedEnergyAxis = isUsingSuppliedEnergyAxis if DEBUG: print("ROI images calculated") return imageDict def setSelectionMask(self, mask): if DEBUG: print("setSelectionMask called") goodData = numpy.isfinite(self._mcaData0.y[0].sum()) if goodData: self._selectionMask = mask else: if (self._ROIImageDict["ROI"] is not None) and\ (self.mcaIndex != 0): self._selectionMask = mask * numpy.isfinite(self._ROIImageDict["ROI"]) else: self._selectionMask = mask * numpy.isfinite(self._stackImageData) for key in self.pluginInstanceDict.keys(): self.pluginInstanceDict[key].selectionMaskUpdated() def getSelectionMask(self): if DEBUG: print("getSelectionMask called") return self._selectionMask def addImage(self, image, name, info=None, replace=False, replot=True): """ Add image data to the RGB correlator """ print("Add image data not implemented") def removeImage(self, name, replace=True): """ Remove image data from the RGB correlator """ print("Remove image data not implemented") def addCurve(self, x, y, legend=None, info=None, replace=False, replot=True): """ Add the 1D curve given by x an y to the graph. """ print("addCurve not implemented") return None def removeCurve(self, legend, replot=True): """ Remove the curve associated to the supplied legend from the graph. The graph will be updated if replot is true. """ print("removeCurve not implemented") return None def getGraphXLabel(self): print("getGraphXLabel not implemented") return None def getGraphYLabel(self): print("getGraphYLabel not implemented") return None def getActiveCurve(self): """ Function to access the currently active curve. It returns None in case of not having an active curve. Default output has the form: xvalues, yvalues, legend, dict where dict is a dictionnary containing curve info. For the time being, only the plot labels associated to the curve are warranted to be present under the keys xlabel, ylabel. If just_legend is True: The legend of the active curve (or None) is returned. """ if DEBUG: print("getActiveCurve default implementation") info = {} info['xlabel'] = 'Channel' info['ylabel'] = 'Counts' legend = 'ICR Spectrum' return self._mcaData0.x[0], self._mcaData0.y[0], legend, info def getGraphXLimits(self): if DEBUG: print("getGraphXLimits default implementation") return self._mcaData0.x[0].min(), self._mcaData0.x[0].max() def getGraphYLimits(self): if DEBUG: print("getGraphYLimits default implementation") return self._mcaData0.y[0].min(), self._mcaData0.y[0].max() def getStackDataObject(self): return self._stack def getStackData(self): return self._stack.data def getStackInfo(self): return self._stack.info def setPositioners(self, positioners, copy=True): """Updates the "positioners" field in the stack info, after checking that the provided positioners have the proper number of values. :param dict positioners: Dictionary of positioners. The keys are the motor names. The values should preferably be arrays with the same number of values as there are stack pixels. Scalars are accepted if the positioner has a constant value. :param bool copy: If *True* (default), store a copy of the data. If *False*, store the original data whenever it is possible. If the dictionary contains lists, they need to be converted to numpy arrays and a copy is mandatory. :raise: TypeError if positioners is not a dict or if any positioner is not a scalar, list or numpy array. :raise: RuntimeError if any positioner is a list and copy=False """ if not isinstance(positioners, dict): raise TypeError("Dictionary expected for positioners") npixels = self.getStackOriginalImage().size stackPositioners = {} for motorName, motorValues in positioners.items(): if numpy.isscalar(motorValues) or \ (hasattr(motorValues, "ndim") and motorValues.ndim == 0): stackPositioners[motorName] = motorValues elif hasattr(motorValues, "__len__") and numpy.isscalar(motorValues[0]): # list: convert to numpy array before storing in info numMotorValues = len(motorValues) if numMotorValues == npixels: stackPositioners[motorName] = numpy.array(motorValues) elif hasattr(motorValues, "size"): # numpy array numMotorValues = motorValues.size if numMotorValues == npixels: stackPositioners[motorName] = numpy.array(motorValues, copy=copy) else: raise TypeError( "Wrong type for positioner %s. " % motorName + "Valid types are numpy arrays, scalars or list of scalars.") if DEBUG and len(stackPositioners) != len(positioners): ignored_motors = list(set(positioners.keys()) - set(stackPositioners.keys())) print("Ignored motors due to mismatch in number of values: " + ', '.join(ignored_motors)) self._stack.info["positioners"] = stackPositioners def _clearPositioners(self): """Removes the "positioners" field in the stack info""" if "positioners" in self._stack.info: self._stack.info["positioners"] = {} def getPositionersFromIndex(self, index): """Return the value of all positioners for the spectrum identified by its 1D index. If positioners are stored as 1D arrays ``a``, the value returned is simply ``a[index]``. If positioners are stored as 2D arrays, the index is applied to the flattened array. :param int index: Index of spectrum for which the the positioners value is to be returned. :return: dictionary of positioners values whose keys are the motor name :rtype: dict """ positioners = self._stack.info.get("positioners", {}) positionersAtIdx = {} if index >= self.getStackOriginalImage().size or index < 0: raise IndexError("index out of bounds") for motorName, motorValues in positioners.items(): # assert numpy.isscalar(motorValues) or hasattr(motorValues, "shape") if numpy.isscalar(motorValues): positionersAtIdx[motorName] = motorValues elif len(motorValues.shape) == 1: positionersAtIdx[motorName] = motorValues[index] else: positionersAtIdx[motorName] = motorValues.reshape((-1,))[index] return positionersAtIdx def test(): #create a dummy stack nrows = 100 ncols = 200 nchannels = 1024 a = numpy.ones((nrows, ncols), numpy.float) stackData = numpy.zeros((nrows, ncols, nchannels), numpy.float) for i in range(nchannels): stackData[:, :, i] = a * i stack = StackBase() stack.setStack(stackData, mcaindex=2) print("This should be 0 = %f" % stack.calculateROIImages(0, 0)['ROI'].sum()) print("This should be 0 = %f" % stack.calculateROIImages(0, 1)['ROI'].sum()) print("%f should be = %f" %\ (stackData[:, :, 0:10].sum(), stack.calculateROIImages(0, 10)['ROI'].sum())) if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/PyMcaCore/PyMcaBatchBuildOutput.py0000644000276300001750000002452213136054446022404 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import numpy from PyMca5.PyMcaIO import EdfFile DEBUG = 0 class PyMcaBatchBuildOutput(object): def __init__(self, inputdir=None, outputdir=None): self.inputDir = inputdir self.outputDir = outputdir def buildOutput(self, inputdir=None, outputdir=None, delete=None): if inputdir is None:inputdir = self.inputDir if inputdir is None:inputdir = os.getcwd() if outputdir is None: outputdir = self.outputDir if outputdir is None: outputdir = inputdir if delete is None: if outputdir == inputdir: delete = True if DEBUG: print("delete option = ", delete) allfiles = os.listdir(inputdir) partialedflist = [] partialdatlist = [] partialconlist = [] for filename in allfiles: if filename.endswith('000000_partial.edf'):partialedflist.append(filename) elif filename.endswith('000000_partial.dat'):partialdatlist.append(filename) elif filename.endswith('000000_partial_concentrations.txt'):partialconlist.append(filename) #IMAGES edfoutlist = [] for filename in partialedflist: if DEBUG: print("Dealing with filename %s" % filename) edflist = self.getIndexedFileList(os.path.join(inputdir, filename)) i = 0 for edfname in edflist: edf = EdfFile.EdfFile(edfname, access='rb', fastedf = 0) nImages = edf.GetNumImages() #get always the last image data0 = edf.GetData(nImages-1) data0[data0<0] = 0 if i == 0: header = edf.GetHeader(0) data = data0.copy() else: data += data0 del edf i += 1 edfname = filename.replace('_000000_partial.edf',".edf") edfoutname = os.path.join(outputdir, edfname) if DEBUG: print("Dealing with output filename %s" % edfoutname) if os.path.exists(edfoutname): if DEBUG: print("Output file already exists, trying to delete it") os.remove(edfoutname) edfout = EdfFile.EdfFile(edfoutname, access="wb") edfout.WriteImage (header , data, Append=0) del edfout edfoutlist.append(edfoutname) if delete: for filename in edflist: try: os.remove(filename) except: print("Cannot delete file %s" % filename) #DAT IMAGES datoutlist = [] for filename in partialdatlist: edflist = self.getIndexedFileList(os.path.join(inputdir, filename)) first = True for edfname in edflist: f = open(edfname) lines = f.readlines() f.close() j = 1 while (not len( lines[-j].replace("\n",""))): j += 1 if first: first = False labels = lines[0].replace("\n","").split(" ") nlabels = len(labels) nrows = len(lines) - j data = numpy.zeros((nrows, nlabels), numpy.double) inputdata = numpy.zeros((nrows, nlabels), numpy.double) chisqIndex = labels.index('chisq') for i in range(nrows): inputdata[i, :] = [float(x) for x in lines[i+1].split()] if inputdata[i, chisqIndex] < 0.0: inputdata[i, chisqIndex] = 0.0 data += inputdata outfilename = os.path.join(outputdir, filename.replace("_000000_partial","")) if os.path.exists(outfilename): os.remove(outfilename) outfile=open(outfilename,'w+') outfile.write('%s' % lines[0]) line="" for row in range(nrows): #line = "%d" % inputdata[row, 0] for col in range(nlabels): if col == 0 : line += "%d" % inputdata[row, col] elif col == 1 : line += " %d" % inputdata[row, col] else: line += " %g" % data[row, col] line += "\n" outfile.write("%s" % line) line ="" outfile.write("\n") outfile.close() datoutlist.append(outfilename) if delete: for filename in edflist: os.remove(filename) #CONCENTRATIONS outconlist = [] for filename in partialconlist: edflist = self.getIndexedFileList(os.path.join(inputdir, filename)) i = 0 for edfname in edflist: edf = open(edfname, 'rb') if i == 0: outfilename = os.path.join(outputdir, filename.replace("_000000_partial","")) if os.path.exists(outfilename): os.remove(outfilename) outfile = open(outfilename,'wb') lines = edf.readlines() for line in lines: outfile.write(line) edf.close() i += 1 outfile.close() outconlist.append(outfilename) if delete: for filename in edflist: os.remove(filename) return edfoutlist, datoutlist, outconlist def getIndexedFileList(self, filename, begin=None,end=None, skip = None, fileindex=0): name = os.path.basename(filename) n = len(name) i = 1 numbers = ['0', '1', '2', '3', '4', '5', '6', '7', '8','9'] while (i <= n): c = name[n-i:n-i+1] if c in ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']: break i += 1 suffix = name[n-i+1:] if len(name) == len(suffix): #just one file, one should use standard widget #and not this one. self.loadFileList(filename, fileindex=fileindex) else: nchain = [] while (i<=n): c = name[n-i:n-i+1] if c not in ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']: break else: nchain.append(c) i += 1 number = "" nchain.reverse() for c in nchain: number += c fformat = "%" + "0%dd" % len(number) if (len(number) + len(suffix)) == len(name): prefix = "" else: prefix = name[0:n-i+1] prefix = os.path.join(os.path.dirname(filename),prefix) if not os.path.exists(prefix + number + suffix): print("Internal error in EDFStack") print("file should exist: %s " % (prefix + number + suffix)) return i = 0 if begin is None: begin = 0 testname = prefix+fformat % begin+suffix while not os.path.exists(prefix+ fformat % begin+suffix): begin += 1 testname = prefix+fformat % begin+suffix if len(testname) > len(filename):break i = begin else: i = begin if not os.path.exists(prefix+fformat % i+suffix): raise ValueError("Invalid start index file = %s" % \ (prefix+fformat % i+suffix)) f = prefix+fformat % i+suffix filelist = [] while os.path.exists(f): filelist.append(f) i += 1 if end is not None: if i > end: break f = prefix+fformat % i+suffix return filelist if __name__ == "__main__": import sys if len(sys.argv) < 2: print("Usage:") print("python PyMcaBatchBuildOutput.py directory") sys.exit(0) directory = sys.argv[1] w = PyMcaBatchBuildOutput(directory) w.buildOutput() """ allfiles = os.listdir(directory) edflist = [] datlist = [] for filename in allfiles: if filename.endswith('000000_partial.edf'):edflist.append(filename) elif filename.endswith('000000_partial.dat'):datlist.append(filename) for filename in edflist: print w.getIndexedFileList(os.path.join(directory, filename)) """ PyMca5-5.2.2/PyMca5/PyMcaCore/XiaEdf.py0000644000276300001750000006004413136054446017367 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "E. Papillon - ESRF Software Group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os, os.path import numpy from PyMca5.PyMcaIO import EdfFile __version__="$Revision: 1.15 $" XiaStatIndex= { "det": 0, "evt": 1, "icr": 2, "ocr": 3, "lt" : 4, "dt" : 5 } XiaStatNb= len(XiaStatIndex.keys()) XiaStatLabels= ["xdet", "xevt", "xicr", "xocr", "xlt", "xdt"] def checkEdfForRead(filename): if not os.path.isfile(filename): raise XiaEdfError("Cannot find file <%s>"%filename) else: try: if os.path.getsize(filename)==0: raise XiaEdfError("File <%s> has a null size "%filename) except: raise XiaEdfError("Cannot open file <%s>"%filename) def openEdf(filename, read=0, write=0, force=0): if read: checkEdfForRead(filename) if write: checkEdfForWrite(filename, force) try: edf= EdfFile.EdfFile(filename) except: raise XiaEdfError("Cannot open EDF file <%s>"%filename) return edf def checkEdfForWrite(filename, force=0): if os.path.isfile(filename): if not force: raise XiaEdfError("<%s> already exist. Abort saving."%filename) else: os.remove(filename) if os.path.isfile(filename): raise XiaEdfError("Cannot remove <%s>. Abort saving."%filename) class XiaEdfError(Exception): def __init__(self, message): self.msg= message def __str__(self): return "XiaEdf ERROR: %s"%self.msg class XiaEdfCountFile: def __init__(self, filename): self.filename= filename self.edf= openEdf(filename, read=1) self.reset() def reset(self): self.data= None self.header= None try: self.__readStat() except: raise XiaEdfError("Cannot parse header in <%s>"%filename) def __readStat(self): self.header= self.edf.GetHeader(0) self.nbDet= int(self.header.get("xnb", 0)) if not self.nbDet: self.detList= [] self.statArray= None return self.nbDet self.detList= range(self.nbDet) det= self.header.get("xdet", None) if det is not None: dets= det.split() if len(dets)==self.nbDet: self.detList= map(int, dets) self.statArray = numpy.zeros(XiaStatNb*self.nbDet, numpy.int) idx= 0 for det in self.detList: self.statArray[idx+XiaStatIndex["det"]]= int(self.header.get("xdet%02d"%det, det)) self.statArray[idx+XiaStatIndex["evt"]]= int(self.header.get("xevt%02d"%det, 0)) self.statArray[idx+XiaStatIndex["icr"]]= int(self.header.get("xicr%02d"%det, 1)) self.statArray[idx+XiaStatIndex["ocr"]]= int(self.header.get("xocr%02d"%det, 1)) self.statArray[idx+XiaStatIndex["lt"]]= int(self.header.get("xlt%02d"%det, 1)) self.statArray[idx+XiaStatIndex["dt"]]= int(self.header.get("xdt%02d"%det, 0)) idx += 6 def __getData(self): self.__readData() return self.data def __readData(self): if self.data is None: try: self.data= self.edf.GetData(0) except: raise XiaEdfError("Cannot read data in <%s>"%self.filename) def getDetList(self): return self.detList def getData(self, detector=-1): # --- WARNING: first index is channels data= self.__getData() if detector==-1: return data[1:] else: if detector not in self.detList: return None idx= self.detList.index(detector) return data[idx+1] def getStat(self, detector=-1): if detector==-1: return self.statArray else: if detector not in self.detList: return None idx= self.detList.index(detector) return self.statArray[(idx*XiaStatNb):((idx+1)*XiaStatNb)] def correct(self, deadtime=1, livetime=0): message= [] corrflag= int(self.header.get("xcorr", 0)) if livetime and corrflag&2: raise XiaEdfError("<%s> seems already livetime corrected"%self.filename) if deadtime and corrflag&1: raise XiaEdfError("<%s> seems already deadtime corrected"%self.filename) self.__readData() self.data= self.data.astype(numpy.float) if livetime: lvt= numpy.zeros((self.nbDet,1), numpy.float) derr= [] for idx in range(len(self.detList)): lvt[idx]= self.statArray[idx*XiaStatNb + XiaStatIndex["lt"]] / 1000.0 if lvt[idx]==0.: lvt[idx]= 1. derr.append("#%02d"%self.detList[idx]) if len(derr): message.append("Null livetime on det %s"% " ".join(derr)) self.data[1:,:]= self.data[1:,:] / lvt self.header["xcorr"]= corrflag|2 if deadtime: rate= numpy.zeros((self.nbDet,1), numpy.float) for idx in range(len(self.detList)): derr= [] try: rate[idx]= float(self.statArray[idx*XiaStatNb + XiaStatIndex["icr"]]) / \ float(self.statArray[idx*XiaStatNb + XiaStatIndex["ocr"]]) except: rate[idx]= 1. derr.append("#%02d"%idx) if len(derr): message.append("Null OCR on det %s" % " ".join(derr)) self.data[1:,:]= self.data[1:,:] * rate self.header["xcorr"]= corrflag|1 return message def sum(self, sums=[], deadtime=0, livetime=0, average=0): message= [] if not len(sums): return message self.__readData() if deadtime or livetime: message+= self.correct(deadtime, livetime) else: self.data= self.data.astype(numpy.float) sumdata= numpy.zeros((len(sums), self.data.shape[1]), numpy.float) for idx in range(len(sums)): if not len(sums[idx]): sumdata[idx,:] = numpy.sum(self.data[1:,], 0) xdet= self.detList else: mask= numpy.zeros((self.nbDet+1,1), numpy.int) xdet= [] for det in sums[idx]: if det in self.detList: detidx= self.detList.index(det) mask[detidx+1]= 1 xdet.append(det) sumdata[idx,:]= numpy.sum(self.data*mask, 0) self.header["xcorr%d"%idx] = self.header.get("xcorr", 0) self.header["xdet%d"%idx] = " ".join([str(det) for det in xdet]) if average: self.data= sumdata / len(xdet) else: self.data= sumdata for key in self.header.keys(): if key[0]=='x': try: det= int(key[-2:]) del self.header[key] except: pass dataflag= int(self.header.get("xdata", 0)) self.header["xdata"]= dataflag | (1<<2) self.header["xnb"]= len(sums) return message def save(self, filename, force=0): edf= openEdf(filename, write=1, force=force) self.__readData() edf.WriteImage(self.header, self.data) class XiaEdfScanFile: def __init__(self, statfile, detfiles): self.statfile= statfile self.detfiles= detfiles self.detector= None self.data= None self.header= None checkEdfForRead(self.statfile) for file in self.detfiles: checkEdfForRead(file) try: self.__readStat() except: raise XiaEdfError("Cannot parse header in <%s>"%self.statfile) def __readStat(self): edf= openEdf(self.statfile) header= edf.GetHeader(0) self.nbDet= int(header.get("xnb", 0)) if not self.nbDet: self.detList= [] self.statArray= None return self.nbDet self.detList= range(self.nbDet) det= header.get("xdet", None) if det is not None: dets= det.split() if len(dets)==self.nbDet: self.detList= map(int, dets) self.statArray= edf.GetData(0) return self.nbDet def __readData(self, detector): if detector!=self.detector: self.detector= None self.data= None self.header= None #try: if 1: if detector in self.detList: idx= self.detList.index(detector) if idx < len(self.detfiles): file= self.detfiles[idx] edf= openEdf(self.detfiles[idx]) header= edf.GetHeader(0) xdet= int(header.get("xdet", -1)) if xdet==-1 or xdet==detector: self.data= edf.GetData(0) self.header= header self.detector= xdet if self.data is None: for file in self.detfiles: edf= openEdf(file) header= edf.GetHeader(0) xdet= int(header.get("xdet", -1)) if xdet==detector: self.data= edf.GetData(0) self.header= header self.detector= xdet break else: #except: raise XiaEdfError("Cannot read data on det #%02d in <%s>"%(detector, file)) if self.data is None: raise XiaEdfError("Cannot read data on det #%02d"%detector) def getDetList(self): return self.detList def getData(self, detector): self.__readData(detector) return self.data def getStat(self, detector=-1): if detector==-1: return self.statArray else: if detector not in self.detList: return None idx= self.detList.index(detector) return self.statArray[:,(idx*XiaStatNb):((idx+1)*XiaStatNb)] def correct(self, detector, deadtime=1, livetime=0): message= [] if detector!=self.detector: self.__readData(detector) corrflag= int(self.header.get("xcorr", 0)) if livetime and corrflag&2: raise XiaEdfError("det #%02d seems already livetime corrected"%detector) if deadtime and corrflag&1: raise XiaEdfError("det #%02d seems already deadtime corrected"%detector) self.data= self.data.astype(numpy.float) idx= self.detList.index(detector) pts= self.statArray.shape[0] if livetime: lvt= numpy.zeros((pts, 1), numpy.float) lvt[:,0]= self.statArray[:,((XiaStatNb*idx)+XiaStatIndex["lt"])] / 1000.0 perr= self.__checkNullLivetime(lvt, pts) if len(perr): message.append("Null livetime on det #%02d points %s"%(detector, self.__pointRange(perr))) self.data= self.data / lvt self.header["xcorr"]= corrflag|2 if deadtime: rate= numpy.zeros((self.statArray.shape[0], 1), numpy.float) count= numpy.zeros((self.statArray.shape[0], 2), numpy.float) count[:,0]= self.statArray[:, (XiaStatNb*idx)+XiaStatIndex["ocr"]] count[:,1]= self.statArray[:, (XiaStatNb*idx)+XiaStatIndex["icr"]] perr= self.__checkNullCount(count, pts) if len(perr): message.append("Null ICR|OCR on det #%02d points %s"%(detector, self.__pointRange(perr))) perr= [] for ipt in range(pts): if count[ipt,0]>0 and count[ipt,1]>0: rate[ipt,0]= count[ipt,1]/count[ipt,0] else: rate[ipt,0]= 1. perr.append(ipt) if len(perr): message.append("No DeadTime correction perfomed on det #%02d points %s"%(detector, self.__pointRange(perr))) self.data= self.data * rate self.header["xcorr"]= corrflag|1 return message def __checkNullCount(self, count, pts): perr= [] check= numpy.sum(numpy.greater(count,0.), 1) for ipt in range(pts): if check[ipt]!=2: perr.append(ipt) if (ipt!=0 and check[ipt-1]==2) and (ipt!=pts-1 and check[ipt+1]==2): count[ipt,:]= (count[ipt-1,:]+count[ipt+1,:])/2. elif (ipt!=0 and check[ipt-1]==2): count[ipt,:]= count[ipt-1,:] elif (ipt!=pts-1 and check[ipt+1]==2): count[ipt,:]= count[ipt+1,:] else: count[ipt,:]= -1 return perr def __checkNullLivetime(self, lvt, pts): perr= [] check= numpy.greater(lvt, 0.) for ipt in range(pts): if check[ipt]==0: perr.append(ipt) if (ipt!=0 and check[ipt-1]==1) and (ipt!=pts-1 and check[ipt+1]==1): lvt[ipt,0]= (lvt[ipt+1]+lvt[ipt-1])/2. elif (ipt!=0 and check[ipt-1]==1): lvt[ipt,0]= lvt[ipt-1,0] elif (ipt!=pts-1 and check[ipt+1]==1): lvt[ipt,0]= lvt[ipt+1,0] else: lvt[ipt,0]= 1. return perr def __pointRange(self, ptlist): nb= len(ptlist) ptdiff= [] for idx in range(nb-1): ptdiff.append(((ptlist[idx+1]-ptlist[idx])==1)) ptdiff.append(0) ptrange= [] curr= None for idx in range(nb): if ptdiff[idx]: if curr is None: curr= ptlist[idx] else: if curr is None: ptrange.append(str(ptlist[idx])) else: ptrange.append("%d-%d"%(curr,ptlist[idx])) curr= None return "["+ ",".join(ptrange)+"]" def sum(self, detectors=[], deadtime=0, livetime=0, average=0): message= [] if not len(detectors): sumdet= self.detList else: sumdet= [ det for det in detectors if det in self.detList ] sumdata= None for det in sumdet: if deadtime or livetime: message+= self.correct(det, deadtime, livetime) else: self.__readData(det) self.data= self.data.astype(numpy.float) if sumdata is None: sumdata= self.data * 1.0 else: sumdata= sumdata + self.data if average: self.data= sumdata / len(sumdet) else: self.data= sumdata dataflag= int(self.header.get("xdata", 0)) self.header["xdata"]= dataflag | (1<<2) self.header["xnb"]= 1 self.header["xdet"]= " ".join([str(det) for det in sumdet]) return message def save(self, filename, force=0): if self.data is None: raise XiaEdfError("Cannot save. No data loaded.") edf= openEdf(filename, write=1, force=force) edf.WriteImage(self.header, self.data) class XiaFilename: def __init__(self, filename=None): self.__reset() if filename is not None: self.__parseFilename(filename) def setType(self, type, det=None): self.type= type self.det= det def getType(self): return self.type def isValid(self): return self.type is not None def isCount(self): return (self.type=="ct" or (self.type=="sum" and self.det==-1)) def isScan(self): return (self.type=="det" or self.type=="st" or (self.type=="sum" and self.det>0)) def isSum(self): return (self.type=="sum") def isStat(self): return (self.type=="st") def findStatFile(self): xf= XiaFilename(self.get()) xf.setType("st") if os.path.isfile(xf.get()): return xf else: return None def isGroupedWith(self, other): if (self.isScan() and other.isScan()) or (self.isCount() and other.isCount()): file1= "%s/%s"%(self.dir is None and "." or self.dir, self.prefix is None and "" or self.prefix) file2= "%s/%s"%(other.dir is None and "." or other.dir, other.prefix is None and "" or other.prefix) res= cmp(file1, file2) if res!=0: return 0 res= cmp(self.index, other.index) if res!=0: return 0 file1= "%s.%s"%(self.suffix is None and "" or self.suffix, self.ext is None and "" or self.ext) file2= "%s.%s"%(other.suffix is None and "" or other.suffix, other.ext is None and "" or other.ext) res= cmp(file1, file2) if res!=0: return 0 return 1 else: return 0 def setDirectory(self, dirname): if dirname is None: self.dir= "." else: self.dir= dirname def appendPrefix(self, name): if self.prefix is None: self.prefix= name elif name is not None: self.prefix= "%s_%s"%(self.prefix, name) def getDetector(self): if self.type!="det": return None else: return self.det def set(self, filename): self.__reset() if filename is not None: self.__parseFilename(filename) def get(self): self.__createFilename() return self.file def __reset(self): self.file= None # --- full filename self.dir = None # --- directory self.type= None # --- file type = "ct", "st", "det" self.index= [] # --- file indexes self.suffix= None # --- suffix self.det= None # --- if type=="det", detector number def __parseFilename(self, filename): self.file= os.path.basename(filename) self.dir= os.path.dirname(filename) if not len(self.dir): self.dir= "." fileext= os.path.splitext(self.file) if len(fileext[1]): self.ext= fileext[1][1:] filelist= fileext[0].split("_") xiaidx= 0 for xiaidx in range(len(filelist)): if filelist[xiaidx][0:3]=="xia": break xiaidx += 1 if xiaidx==len(filelist): self.type= None self.prefix= fileext[0] else: self.prefix= "_".join(filelist[0:xiaidx]) try: self.index= map(int, filelist[xiaidx+1:]) except: self.suffix= "_".join(filelist[xiaidx+1:]) type= filelist[xiaidx][3:] if type=="ct" or type=="st": self.type= type elif type[0]=='S': self.type= "sum" if type[1]=='N': self.det= -1 else: try: self.det= int(type[1]) except: self.type= None else: try: self.type= "det" self.det= int(type) except: self.type= None def __createFilename(self): if self.prefix is None or self.type is None: self.file= None else: self.file= "%s/%s"%(self.dir, self.prefix) xia= None if self.type=="ct": xia= "xiact" elif self.type=="st": xia= "xiast" elif self.type=="sum": if self.det==-1: xia= "xiaSN" else: xia= "xiaS%01d"%self.det elif self.type=="det": xia= "xia%02d"%self.det elif self.type is not None: xia= "xia%s"%self.type if xia is not None: self.file= "%s_%s"%(self.file, xia) for idx in self.index: self.file= "%s_%04d"%(self.file, idx) if self.suffix is not None: self.file= "%s_%s"%(self.file, self.suffix) if self.ext is not None: self.file= "%s.%s"%(self.file, self.ext) def __cmp__(self, other): file1= "%s/%s"%(self.dir is None and "." or self.dir, self.prefix is None and "" or self.prefix) file2= "%s/%s"%(other.dir is None and "." or other.dir, other.prefix is None and "" or other.prefix) res= cmp(file1, file2) if res!=0: return res res= cmp(self.ext, other.ext) if res!=0: return res res= cmp(self.index, other.index) if res!=0: return res res= cmp(self.type, other.type) if res!=0: return res if self.type=="det" or self.type=="sum": res= cmp(self.det, other.det) if res!=0: return res file1= "%s.%s"%(self.suffix is None and "" or self.suffix, self.ext is None and "" or self.ext) file2= "%s.%s"%(other.suffix is None and "" or other.suffix, other.ext is None and "" or other.ext) return cmp(file1, file2) def testScan(): x= XiaEdfScanFile("data/test_xiast_0000_0000_0000.edf", ["data/test_xia00_0000_0000_0000.edf", "data/test_xia01_0000_0000_0000.edf", "data/test_xia02_0000_0000_0000.edf", "data/test_xia03_0000_0000_0000.edf", "data/test_xia04_0000_0000_0000.edf", "data/test_xia05_0000_0000_0000.edf", "data/test_xia06_0000_0000_0000.edf", "data/test_xia07_0000_0000_0000.edf", "data/test_xia08_0000_0000_0000.edf", "data/test_xia09_0000_0000_0000.edf", "data/test_xia10_0000_0000_0000.edf", "data/test_xia11_0000_0000_0000.edf", ]) x.sum([1,10]) print(x.header) x.save("test_sum.edf") #for det in [1, 2, 3, 4, 5, 6]: # x.correct(det, livetime=1) # x.save(det, "scan_corr_xia%02d.edf"%det) def testAcq(infile, outfile=None): print("Reading ", infile) x= XiaEdfCountFile(infile) #print "DeadTime Correction ..." #x.correct() x.sum([1,10]) if outfile is not None: print(x.header) print("Saving %s" % outfile) x.save(outfile) if __name__=="__main__": import sys testScan() sys.exit(0) if len(sys.argv)<2: print("%s []" % sys.argv[0]) sys.exit(0) else: infile= sys.argv[1] outfile= len(sys.argv)>=3 and sys.argv[2] or None testAcq(infile, outfile) PyMca5-5.2.2/PyMca5/PyMcaCore/StackPluginBase.py0000644000276300001750000001645513136054446021255 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__=""" A Stack plugin is a module that will be automatically added to the PyMca stack windows in order to perform user defined operations on the data stack. It has to inherit the StackPluginBase.StackPluginBase class and implement the methods: - getMethods - getMethodToolTip (optional but convenient) - getMethodPixmap (optional) - applyMethod and modify the static module variable MENU_TEXT and the static module function getStackPluginInstance according to the defined plugin. These plugins will be compatible with any stack window that provides the functions: #data related - getStackDataObject - getStackData - getStackInfo - setStack - getStackROIImagesAndNames - isStackFinite - getStackOriginalCurve - getStackOriginalImage #mask related - setStackSelectionMask - getStackSelectionMask #displayed curves - getActiveCurve - getGraphXLimits - getGraphYLimits - getGraphXLabel - getGraphYLabel #images - addImage - removeImage - replaceImage #information method - stackUpdated - selectionMaskUpdated - stackClosed """ import weakref DEBUG = 0 class StackPluginBase(object): def __init__(self, stackWindow, **kw): """ stackWindow is the object instantiating the plugin. Unless one knows what (s)he is doing, only a proxy should be used. I pass the actual instance to keep all doors open. """ self._stackWindow = weakref.proxy(stackWindow) pass #stack related functions def isStackFinite(self): return self._stackWindow.isStackFinite() def getStackROIImagesAndNames(self): return self._stackWindow.getStackROIImagesAndNames() def getStackDataObject(self): return self._stackWindow.getStackDataObject() def getStackDataObjectList(self): return self._stackWindow.getStackDataObjectList() def getStackData(self): return self._stackWindow.getStackData() def getStackOriginalCurve(self): return self._stackWindow.getStackOriginalCurve() def getStackOriginalImage(self): return self._stackWindow.getStackOriginalImage() def getStackInfo(self): return self._stackWindow.getStackInfo() def getStackSelectionMask(self): return self._stackWindow.getSelectionMask() def setStackSelectionMask(self, mask, instance_id=None): if instance_id is None: instance_id = id(self) return self._stackWindow.setSelectionMask(mask, instance_id=instance_id) def setStack(self, *var, **kw): return self._stackWindow.setStack(*var, **kw) def addImage(self, image, name): return self._stackWindow.addImage(image, name) def removeImage(self, name): return self._stackWindow.removeImage(name) def replaceImage(self, image, name): return self._stackWindow.replaceImage(image, name) #Plot window related functions def getActiveCurve(self): """ Function to access the currently active curve. It returns None in case of not having an active curve. Output has the form: xvalues, yvalues, legend, dict where dict is a dictionnary containing curve info. For the time being, only the plot labels associated to the curve are warranted to be present under the keys xlabel, ylabel. """ return self._stackWindow.getActiveCurve() def getGraphXLimits(self): """ Get the graph X limits. """ return self._stackWindow.getGraphXLimits() def getGraphYLimits(self): """ Get the graph Y limits. """ return self._stackWindow.getGraphYLimits() def getGraphXLabel(self): """ Get the graph X label """ return self._stackWindow.getGraphXLabel() def getGraphYLabel(self): """ Get the graph Y label """ return self._stackWindow.getGraphYLabel() def stackUpdated(self): if DEBUG: print("stackUpdated(self) not implemented") def stackROIImageListUpdated(self): if DEBUG: print("stackROIImageListUpdated(self) not implemented") return def stackClosed(self): """ This method is called when the stack widget is closed. You can implement this to shut down the plugin (close widgets...). By default, widgets referenced as self.widget and self._widget are closed. """ if hasattr(self, "widget") and self.widget is not None: self.widget.close() if hasattr(self, "_widget") and self._widget is not None: self._widget.close() def selectionMaskUpdated(self): if DEBUG: print("selectionMaskUpdated(self) not implemented") #Methods to be implemented by the plugin def getMethods(self): """ A list with the NAMES associated to the callable methods that are applicable to the specified stack. """ print("BASE STACK getMethods not implemented") return [] def getMethodToolTip(self, name): """ Returns the help associated to the particular method name or None. """ return None def getMethodPixmap(self, name): """ Returns the pixmap associated to the particular method name or None. """ return None def applyMethod(self, name): """ The plugin is asked to apply the method associated to name. """ print("applyMethod not implemented") return MENU_TEXT = "StackPluginBase" def getStackPluginInstance(stackWindow, **kw): ob = StackPluginBase(stackWindow) return ob PyMca5-5.2.2/PyMca5/PyMcaCore/PyMcaDirs.py0000644000276300001750000000734013136054446020062 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os DEBUG = 0 inputDir = None outputDir = None nativeFileDialogs = False class __ModuleWrapper: def __init__(self, wrapped): self.__dict__["_ModuleWrapper__wrapped"] = wrapped def __getattr__(self, name): if DEBUG: print("getting ", name) if name == "inputDir": if self.__wrapped.__dict__[name] is None: if self.__wrapped.__dict__['outputDir'] is not None: value = self.__wrapped.__dict__['outputDir'] else: value = os.getcwd() if not os.path.isdir(value): value = os.getcwd() self.__setattr__('inputDir', value) elif name == "outputDir": if self.__wrapped.__dict__[name] is None: if self.__wrapped.__dict__['inputDir'] is not None: value = self.__wrapped.__dict__['inputDir'] else: value = os.getcwd() if not os.path.isdir(value): value = os.getcwd() self.__setattr__('outputDir', value) if DEBUG: print("got ", name, getattr(self.__wrapped, name)) return getattr(self.__wrapped, name) def __setattr__(self, name, value): if DEBUG: print("setting ", name, value) if name == "inputDir": if os.path.isdir(value): self.__wrapped.__dict__[name]=value else: if not len("%s" % value): self.__wrapped.__dict__[name] = os.getcwd() else: raise ValueError("Non-existing directory <%s>" % value) elif name == "outputDir": if os.path.isdir(value): self.__wrapped.__dict__[name]=value else: if not len("%s" % value): self.__wrapped.__dict__[name] = os.getcwd() else: raise ValueError("Non-existing directory <%s>" % value) elif name == "nativeFileDialogs": self.__wrapped.__dict__[name]=value elif name.startswith("__"): self.__dict__[name]=value else: raise AttributeError("Invalid attribute %s" % name) #self.__wrapped.__dict__[name]=value sys.modules[__name__]=__ModuleWrapper(sys.modules[__name__]) PyMca5-5.2.2/PyMca5/PyMcaCore/SpsDataSource.py0000644000276300001750000004003113203352103020723 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import copy from . import DataObject from PyMca5.PyMcaIO import spswrap as sps DEBUG = 0 SOURCE_TYPE = 'SPS' class SpsDataSource(object): def __init__(self, name): if not isinstance(name, str): raise TypeError("Constructor needs string as first argument") self.name = name self.sourceName = name self.sourceType = SOURCE_TYPE def refresh(self): pass def getSourceInfo(self): """ Returns information about the Spec version in self.name to give application possibility to know about it before loading. Returns a dictionary with the key "KeyList" (list of all available keys in this source). Each element in "KeyList" is an shared memory array name. """ return self.__getSourceInfo() def getKeyInfo(self, key): if key in self.getSourceInfo()['KeyList']: return self.__getArrayInfo(key) else: return {} def getDataObject(self, key_list, selection=None): if type(key_list) not in [type([])]: nolist = True key_list = [key_list] else: output = [] nolist = False if self.name in sps.getspeclist(): sourcekeys = self.getSourceInfo()['KeyList'] for key in key_list: #a key corresponds to an array name if key not in sourcekeys: raise KeyError("Key %s not in source keys" % key) #array = key #create data object data = DataObject.DataObject() data.info = self.__getArrayInfo(key) data.info['selection'] = selection data.data = sps.getdata(self.name, key) if nolist: if selection is not None: scantest = (data.info['flag'] & sps.TAG_SCAN) == sps.TAG_SCAN if ((key in ["SCAN_D"]) or scantest) \ and 'cntlist' in selection: data.x = None data.y = None data.m = None if 'nopts' in data.info: nopts = data.info['nopts'] elif 'nopts' in data.info['envdict']: nopts = int(data.info['envdict']['nopts']) + 1 else: nopts = data.info['rows'] if not 'LabelNames' in data.info: data.info['LabelNames'] =\ selection['cntlist'] * 1 newMemoryProblem = len(data.info['LabelNames']) != len(selection['cntlist']) # check the current information is up-to-date # (new HKL handling business) actualLabelSelection = {'x':[], 'y':[], 'm':[]} for tmpKey in ['x', 'y', 'm']: if tmpKey in selection: for labelIndex in selection[tmpKey]: actualLabelSelection[tmpKey].append( \ selection['cntlist'][labelIndex]) if 'x' in selection: for labelindex in selection['x']: #label = selection['cntlist'][labelindex] label = data.info['LabelNames'][labelindex] if label not in data.info['LabelNames']: raise ValueError("Label %s not in scan labels" % label) index = data.info['LabelNames'].index(label) if data.x is None: data.x = [] data.x.append(data.data[:nopts, index]) if 'y' in selection: #for labelindex in selection['y']: for label in actualLabelSelection['y']: #label = data.info['LabelNames'][labelindex] if label not in data.info['LabelNames']: raise ValueError("Label %s not in scan labels" % label) index = data.info['LabelNames'].index(label) if data.y is None: data.y = [] data.y.append(data.data[:nopts, index]) if 'm' in selection: #for labelindex in selection['m']: for label in actualLabelSelection['m']: #label = data.info['LabelNames'][labelindex] if label not in data.info['LabelNames']: raise ValueError("Label %s not in scan labels" % label) index = data.info['LabelNames'].index(label) if data.m is None: data.m = [] data.m.append(data.data[:nopts, index]) data.info['selectiontype'] = "1D" data.info['scanselection'] = True if newMemoryProblem: newSelection = copy.deepcopy(selection) for tmpKey in ['x', 'y', 'm']: if tmpKey in selection: for i in range(len(selection[tmpKey])): if tmpKey == "x": label = data.info['LabelNames'][selection[tmpKey][i]] else: label = selection['cntlist'][selection[tmpKey][i]] newSelection[tmpKey][i] = data.info['LabelNames'].index(label) data.info['selection'] = newSelection data.info['selection']['cntlist'] = data.info['LabelNames'] selection = newSelection data.data = None return data if (key in ["XIA_DATA"]) and 'XIA' in selection: if selection["XIA"]: if 'Detectors' in data.info: for i in range(len(selection['rows']['y'])): selection['rows']['y'][i] = \ data.info['Detectors'].index(selection['rows']['y'][i]) + 1 del selection['XIA'] return data.select(selection) else: if data.data is not None: data.info['selectiontype'] = "%dD" % len(data.data.shape) if data.info['selectiontype'] == "2D": data.info["imageselection"] = True return data else: output.append(data.select(selection)) return output else: return None def __getSourceInfo(self): arraylist = [] sourcename = self.name for array in sps.getarraylist(sourcename): arrayinfo = sps.getarrayinfo(sourcename, array) arraytype = arrayinfo[2] arrayflag = arrayinfo[3] if arraytype != sps.STRING: if (arrayflag & sps.TAG_ARRAY) == sps.TAG_ARRAY: arraylist.append(array) continue if DEBUG: print("array not added %s" % array) source_info = {} source_info["Size"] = len(arraylist) source_info["KeyList"] = arraylist return source_info def __getArrayInfo(self, array): info = {} info["SourceType"] = SOURCE_TYPE info["SourceName"] = self.name info["Key"] = array arrayinfo = sps.getarrayinfo(self.name, array) info["rows"] = arrayinfo[0] info["cols"] = arrayinfo[1] info["type"] = arrayinfo[2] info["flag"] = arrayinfo[3] counter = sps.updatecounter(self.name, array) info["updatecounter"] = counter envdict = {} keylist = sps.getkeylist(self.name, array + "_ENV") for i in keylist: val = sps.getenv(self.name, array + "_ENV", i) envdict[i] = val info["envdict"] = envdict scantest = (info['flag'] & sps.TAG_SCAN) == sps.TAG_SCAN metadata = None if array in ["SCAN_D"]: # try to get new style SCAN_D metadata metadata = sps.getmetadata(self.name, array) if metadata is not None: motors, metadata = metadata #info["LabelNames"] = metadata["allcounters"].split(";") labels = list(motors.keys()) try: labels = [(int(x),x) for x in labels] except: print("SpsDataSource error reverting to old behavior") labels = [(x, x) for x in labels] labels.sort() if len(labels): info["LabelNames"] = [motors[x[1]] for x in labels] if len(metadata["allmotorm"]): info["MotorNames"] = metadata["allmotorm"].split(";") info["MotorValues"] = [float(x) \ for x in metadata["allpositions"].split(";")] info["nopts"] = int(metadata["npts"]) supplied_info = sps.getinfo(self.name, array) if len(supplied_info): info["nopts"] = int(supplied_info[0]) if 'hkl' in metadata: if len(metadata["hkl"]): info['hkl'] = [float(x) \ for x in metadata["hkl"].split(";")] # current SCAN info["scanno"] = int(metadata["scanno"]) # current SPEC file info["datafile"] = metadata["datafile"] # put any missing information info["selectedcounters"] = [x \ for x in metadata["selectedcounters"].split()] # do not confuse with unhandled keys ... #for key in metadata: # if key not in info: # info[key] = metadata[key] if (metadata is None) and ((array in ["SCAN_D"]) or scantest): # old style SCAN_D metadata if 'axistitles' in info["envdict"]: info["LabelNames"] = self._buildLabelsList(info['envdict']['axistitles']) if 'H' in info["envdict"]: if 'K' in info["envdict"]: if 'L' in info["envdict"]: info['hkl'] = [envdict['H'], envdict['K'], envdict['L']] calibarray = array + "_PARAM" if calibarray in sps.getarraylist(self.name): try: data = sps.getdata(self.name, calibarray) updc = sps.updatecounter(self.name, calibarray) info["EnvKey"] = calibarray # data is an array info["McaCalib"] = data.tolist()[0] info["env_updatecounter"] = updc except: # Some of our C modules return NULL without setting # an exception ... pass if array in ["XIA_DATA", "XIA_BASELINE"]: envarray = "XIA_DET" if envarray in sps.getarraylist(self.name): try: data = sps.getdata(self.name, envarray) updc = sps.updatecounter(self.name, envarray) info["EnvKey"] = envarray info["Detectors"] = data.tolist()[0] info["env_updatecounter"] = updc except: pass return info def _buildLabelsList(self, instr): if DEBUG: print('SpsDataSource : building counter list') state = 0 llist = [''] for letter in instr: if state == 0: if letter == ' ': state = 1 elif letter == '{': state = 2 else: llist[-1] = llist[-1] + letter elif state == 1: if letter == ' ': pass elif letter == '{': state = 2 llist.append('') else: llist.append(letter) state = 0 elif state == 2: if letter == '}': state = 0 else: llist[-1] = llist[-1] + letter try: llist.remove('') except ValueError: pass return llist def isUpdated(self, sourceName, key): if sps.specrunning(sourceName): if sps.isupdated(sourceName, key): return True #return True if its environment is updated envkey = key + "_ENV" if envkey in sps.getarraylist(sourceName): if sps.isupdated(sourceName, envkey): return True return False source_types = {SOURCE_TYPE: SpsDataSource} # TODO object is a builtins def DataSource(name="", object=None, copy=True, source_type=SOURCE_TYPE): try: sourceClass = source_types[source_type] except KeyError: # ERROR invalid source type raise TypeError("Invalid Source Type, source type should be one of %s" % source_types.keys()) return sourceClass(name, object, copy) def main(): import sys try: specname = sys.argv[1] arrayname = sys.argv[2] obj = DataSource(specname) data = obj.getData(arrayname) print("info = ", data.info) except: # give usage instructions print("Usage: SpsDataSource ") sys.exit() if __name__ == "__main__": main() PyMca5-5.2.2/PyMca5/PyMcaCore/EdfFileLayer.py0000644000276300001750000004544013136054446020525 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" """ EdfFileData.py Data derived class to access Edf files """ ################################################################################ #import fast_EdfFile as EdfFile from PyMca5.PyMcaIO import EdfFile ################################################################################ SOURCE_TYPE = "EdfFile" DEBUG = 0 class EdfFileLayer(object): """ Specializes Data class in order to access Edf files. Interface: Data class interface. """ def __init__(self,refresh_interval=None,info={},fastedf=None): """ See Data.__init__ """ info["Class"]="EdfFileData" #Data.__init__(self,refresh_interval,info) self.SourceName= None self.SourceInfo= None if fastedf is None:fastedf =0 self.fastedf = fastedf self.GetData = self.LoadSource def GetPageInfo(self,index={}): if 'SourceName' in index: self.SetSource(index['SourceName']) if 'Key' in index: info=self.GetData(index['Key']) return info[0] def AppendPage(self,info={}, array=None): return info,array def SetSource (self,source_name=None, source_obj = None): """ Sets a new source for data retrieving, an edf file. If the file exists, self.Source will be the EdfFile object associated to this file. Parameters: source_name: name of the edf file """ if source_name==self.SourceName: return 1 if (type(source_name) != type([])):source_name = [source_name] if (source_name is not None): if source_obj is not None: self.Source= source_obj else: if (type(source_name) == type([])): if DEBUG: print("List of files") self.Source=[] for name in source_name: try: self.Source.append(EdfFile.EdfFile(name,fastedf=self.fastedf)) except: #print("EdfFileLayer.SetSource: Error trying to read EDF file %s" % name) self.Source.append( None) else: try: self.Source = EdfFile.EdfFile(source_name, fastedf=self.fastedf) except: #print("EdfFileLayer.SetSource: Error trying to read EDF file") self.Source=None else: self.Source=None self.SourceInfo= None if self.Source is None: self.SourceName= None return 0 else: self.SourceName="" for name in source_name: if self.SourceName != "":self.SourceName+="|" self.SourceName+= name return 1 def GetPageArray(self,index=0): """ Returns page's data (NumPy array) Parameters: index: Either an integer meaning the sequencial position of the page or a dictionary that logically index the page based on keys of the page's Info dictionary. """ index=self.GetPageListIndex(index) if index is None or index >= len(self.Pages): return None return self.Pages[index].Array def GetPageListIndex(self,index): """ Converts a physical or logical index, into a physical one """ try: index = int(index) except: pass if type(index) is not type({}): return index for i in range(self.GetNumberPages()): found = 1 for key in index.keys(): if key not in self.Pages[i].Info.keys() or self.Pages[i].Info[key] != index[key]: found=0 break if found: return i return None def GetSourceInfo (self,key=None): """ Returns information about the EdfFile object created by SetSource, to give application possibility to know about it before loading. Returns a dictionary with the keys "Size" (number of possible keys to this source) and "KeyList" (list of all available keys in this source). Each element in "KeyList" is an integer meaning the index of the array in the file. """ if self.SourceName == None: return None if type(self.Source) == type([]): enumtype = 1 else: enumtype = 0 if not enumtype: if key is None: source_info={} if self.SourceInfo is None: NumImages=self.Source.GetNumImages() self.SourceInfo={} self.SourceInfo["Size"]=NumImages self.SourceInfo["KeyList"]=range(NumImages) source_info.update(self.SourceInfo) return source_info else: NumImages=self.Source.GetNumImages() source_info={} source_info["Size"]=NumImages source_info["KeyList"]=range(NumImages) return source_info else: if key is None: source_info={} self.SourceInfo={} self.SourceInfo["Size"] = 0 self.SourceInfo["KeyList"]= [] for source in self.Source: NumImages=source.GetNumImages() self.SourceInfo["Size"] += NumImages for imagenumber in range(NumImages): self.SourceInfo["KeyList"].append('%d.%d' % (self.Source.index(source)+1, imagenumber+1)) source_info.update(self.SourceInfo) return source_info else: try: index,image = key.split(".") index = int(index)-1 image = int(image)-1 except: print("Error trying to interpret key = %s" % key) return {} source = self.Source[index] NumImages=source.GetNumImages() source_info={} source_info["Size"]=NumImages source_info["KeyList"]=[] for imagenumber in range(NumImages): source_info.append('%d.%d' % (index+1,imagenumber+1)) return source_info def LoadSource(self,key_list="ALL",append=0,invalidate=1,pos=None,size=None): """ Creates a given number of pages, getting data from the actual source (set by SetSource) Parameters: key_list: list of all keys to be read from source. It is a list of keys, meaning the indexes to be read from the file. It can be also one integer, if only one array is to be read. append: If non-zero appends to the end of page list. Otherwise, initializes the page list invalidate: if non-zero performas an invalidade call after loading pos and size: (x), (x,y) or (x,y,z) tuples defining a roi If not defined, takes full array Stored in page's info """ #AS if append==0: Data.Delete(self) #numimages=self.Source.GetNumImages() sourceinfo = self.GetSourceInfo() numimages=sourceinfo['Size'] if key_list == "ALL": key_list=sourceinfo['KeyList'] elif type(key_list) != type([]): key_list=[key_list] #AS elif type(key_list) is types.IntType: key_list=[key_list] if pos is not None: edf_pos=list(pos) for i in range(len(edf_pos)): if edf_pos[i]=="ALL":edf_pos[i]=0 else: edf_pos=None if size is not None: edf_size=list(size) for i in range(len(edf_size)): if edf_size[i]=="ALL":edf_size[i]=0 else: edf_size=None output = [] for key0 in key_list: f = 1 sumrequested = 0 if type(key0) == type({}): if 'Key' in key0: key = key0['Key'] if type(key0) == type(''): if len(key0.split(".")) == 2: f,i = key0.split(".") f=int(f) i=int(i) if (i==0): if f == 0:sumrequested=1 else:i=1 key = "%d.%d" % (f,i) else: i=int(key0) if i < len(sourceinfo['KeyList']): key = sourceinfo['KeyList'][i] f,i = key.split(".") f=int(f) i=int(i) else: key = "%d.%d" % (f,i) else: i = key0 if i >= numimages: raise IndexError("EdfFileData: index out of bounds") imgcount =0 f=0 for source in self.Source: f+=1 n = source.GetNumImages() if i < (imgcount+n): i = i - imgcount break imgcount += n i+=1 key = "%d.%d" % (f,i) if key == "0.0":sumrequested=1 info={} info["SourceType"]=SOURCE_TYPE info["SourceName"]=self.SourceName info["Key"]=key info["Source"]=self.Source info["pos"]=pos info["size"]=size if not sumrequested: info.update(self.Source[f-1].GetStaticHeader(i-1)) info.update(self.Source[f-1].GetHeader(i-1)) if info["DataType"]=="UnsignedShort":array=self.Source[f-1].GetData(i-1,"SignedLong",Pos=edf_pos,Size=edf_size) elif info["DataType"]=="UnsignedLong":array=self.Source[f-1].GetData(i-1,"DoubleValue",Pos=edf_pos,Size=edf_size) else: array=self.Source[f-1].GetData(i-1,Pos=edf_pos,Size=edf_size) if 'Channel0' in info: info['Channel0'] = int(float(info['Channel0'])) elif 'MCA start ch' in info: info['Channel0'] = int(float(info['MCA start ch'])) else: info['Channel0'] = 0 if not ('McaCalib' in info): if 'MCA a' in info and 'MCA b' in info and 'MCA c' in info: info['McaCalib'] = [float(info['MCA a']), float(info['MCA b']), float(info['MCA c'])] else: # this is not correct, I assume info # is the same for all sources f=1 i=1 info.update(self.Source[f-1].GetStaticHeader(i-1)) info.update(self.Source[f-1].GetHeader(i-1)) if 'Channel0' in info: info['Channel0'] = int(float(info['Channel0'])) elif 'MCA start ch' in info: info['Channel0'] = int(float(info['MCA start ch'])) else: info['Channel0'] = 0 if not ('McaCalib' in info): if 'MCA a' in info and 'MCA b' in info and 'MCA c' in info: info['McaCalib'] = [float(info['MCA a']), float(info['MCA b']), float(info['MCA c'])] f=0 for source in self.Source: for i in range(source.GetNumImages()): if info["DataType"]=="UnsignedShort":array0=source.GetData(i,"SignedLong",Pos=edf_pos, Size=edf_size) elif info["DataType"]=="UnsignedLong":array0=source.GetData(i,"DoubleValue",Pos=edf_pos, Size=edf_size) else: array0=source.GetData(i,Pos=edf_pos,Size=edf_size) if (f==0) and (i==0): array = 1 * array0 else: array += array0 f+=1 if 'McaCalib' in info: if type(info['McaCalib']) == type(" "): info['McaCalib'] = info['McaCalib'].replace("[","") info['McaCalib'] = info['McaCalib'].replace("]","") cala, calb, calc = info['McaCalib'].split(",") info['McaCalib'] = [float(cala), float(calb), float(calc)] output.append([info,array]) #AS self.AppendPage(info,array) if len(output) == 1: return output[0] else: return output #AS if invalidate: self.Invalidate() def LoadSourceSingle(self,key_list="ALL",append=0,invalidate=1,pos=None,size=None): """ Creates a given number of pages, getting data from the actual source (set by SetSource) Parameters: key_list: list of all keys to be read from source. It is a list of keys, meaning the indexes to be read from the file. It can be also one integer, if only one array is to be read. append: If non-zero appends to the end of page list. Otherwise, initializes the page list invalidate: if non-zero performas an invalidade call after loading pos and size: (x), (x,y) or (x,y,z) tuples defining a roi If not defined, takes full array Stored in page's info """ #AS if append==0: Data.Delete(self) numimages=self.Source.GetNumImages() if key_list == "ALL": key_list=range(numimages) elif type(key_list) != type([]): key_list=[key_list] #AS elif type(key_list) is types.IntType: key_list=[key_list] if pos is not None: edf_pos=list(pos) for i in range(len(edf_pos)): if edf_pos[i]=="ALL":edf_pos[i]=0 else: edf_pos=None if size is not None: edf_size=list(size) for i in range(len(edf_size)): if edf_size[i]=="ALL":edf_size[i]=0 else: edf_size=None output = [] for key in key_list: if type(key) == type({}): if 'Key' in key: key = key['Key'] if type(key) == type(''): i=int(key) else: i = key if i >= numimages: raise IndexError("EdfFileData: index out of bounds") info={} info["SourceType"]=SOURCE_TYPE info["SourceName"]=self.SourceName info["Key"]=i info["Source"]=self.Source info["pos"]=pos info["size"]=size info.update(self.Source.GetStaticHeader(i)) info.update(self.Source.GetHeader(i)) if info["DataType"]=="UnsignedShort":array=self.Source.GetData(i,"SignedLong",Pos=edf_pos,Size=edf_size) elif info["DataType"]=="UnsignedLong":array=self.Source.GetData(i,"DoubleValue",Pos=edf_pos,Size=edf_size) else: array=self.Source.GetData(i,Pos=edf_pos,Size=edf_size) if 'MCA start ch' in info: info['Channel0'] = int(info['MCA start ch']) else: info['Channel0'] = 0 if not ('McaCalib' in info): if 'MCA a' in info and 'MCA b' in info and 'MCA c' in info: info['McaCalib'] = [float(info['MCA a']), float(info['MCA b']), float(info['MCA c'])] output.append([info,array]) #AS self.AppendPage(info,array) if len(output) == 1: return output[0] else: return output #AS if invalidate: self.Invalidate() ################################################################################ #EXAMPLE CODE: if __name__ == "__main__": import sys,time try: filename=sys.argv[1] key=sys.argv[2] fast = int(sys.argv[3]) obj=EdfFileLayer(fastedf=fast) if not obj.SetSource([filename]): print("ERROR: cannot open file %s" % filename) sys.exit() #obj.LoadSource(key) except: print("Usage: EdfFileData.py ") sys.exit() print(obj.GetSourceInfo()) for i in range(1): #this works obj.LoadSource("%d" % i) print("Full") e=time.time() info,data = obj.LoadSource(key) print("elapsed = ",time.time()-e) print("selection") e=time.time() info,data = obj.LoadSource(key,pos=(0,0),size=(90,0)) print("elapsed = ",time.time()-e) print(info) #print obj.GetPageInfo("%d" % i) #print obj.GetPageInfo(i) #print obj.GetPageInfo({'Key':i}) #print obj.GetPageArray(i) PyMca5-5.2.2/PyMca5/PyMcaCore/XiaCorrect.py0000644000276300001750000003400013136054446020263 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 E. Papillon, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "E. Papillon - ESRF Software group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from . import XiaEdf import sys import os import time __version__="$Revision: 1.11 $" def defaultErrorCB(message): print(message) def defaultLogCB(message, verbose_level=None, verbose_ask=None): if verbose_level is None: print(message) elif verbose_level <= verbose_ask: print(message) def defaultDoneCB(nbdone, total): pass def checkCB(log_cb=None, done_cb=None, error_cb=None): if log_cb is None: log_cb= defaultLogCB if done_cb is None: done_cb= defaultDoneCB if error_cb is None: error_cb= defaultErrorCB return (log_cb, done_cb, error_cb) def parseFiles(filelist, verbose=0, keep_sum=0, log_cb=None, done_cb=None, error_cb=None): (log_cb, done_cb, error_cb)= checkCB(log_cb, done_cb, error_cb) log_cb("Checking xia files ...") xiafiles= [] for file in filelist: xf= XiaEdf.XiaFilename(file) if xf.isValid(): log_cb(" - Parsing %s (OK - %s)"%(file, xf.getType()), 1, verbose) if not keep_sum: if not xf.isSum(): xiafiles.append(xf) else: xiafiles.append(xf) else: log_cb(" - Parsing %s (Not Xia)"%file, 1, verbose) if len(xiafiles): log_cb("Sorting xia files ...") xiafiles.sort() groupfiles= [] group= None for xf in xiafiles: if group is None: group= [ xf ] else: if xf.isGroupedWith(group[0]): group.append(xf) else: groupfiles.append(group) group= [ xf ] if group is not None: groupfiles.append(group) grouperrors= [] for group in groupfiles: if group[0].isScan(): if not group[-1].isStat(): stat= group[0].findStatFile() if stat is not None: log_cb(" - Find stat file for group <%s>"%stat.get(), 1, verbose) group.append(stat) else: error_cb("XiaCorrect ERROR: no stat file in current group <%s>"%group[0].get()) grouperrors.append(group) for group in grouperrors: groupfiles.remove(group) if not len(groupfiles): error_cb("XiaCorrect ERROR: No valid XIA group files") return None return groupfiles else: error_cb("XiaCorrect ERROR: No XIA files found.") return None def correctFiles(xiafiles, deadtime=1, livetime=0, sums=None, avgflag=0, outdir=None, outname="corr", force=0, \ verbose=0, log_cb=None, done_cb=None, error_cb=None): (log_cb, done_cb, error_cb)= checkCB(log_cb, done_cb, error_cb) processed= 0 saved= 0 total= 0 errors= 0 tps= time.time() done_cb(0, total) total= len(xiafiles) log_cb("Correcting xia files ...") for group in xiafiles: if not group[0].isScan(): file= group[0] name= file.get() log_cb("Working on %s"%name, 1, verbose) try: xia= XiaEdf.XiaEdfCountFile(name) file.setDirectory(outdir) file.appendPrefix(outname) name= file.get() if sums is not None: err= xia.sum(sums, deadtime, livetime, avgflag) file.setType("sum", -1) else: err= xia.correct(deadtime, livetime) if len(err): error_cb(" - WARNING: in %s"%name) for msg in err: error_cb(" * " + msg) log_cb(" - Saving %s"%name) xia.save(name, force) saved += 1 except XiaEdf.XiaEdfError: errors += 1 log_cb(sys.exc_info()[1]) else: groupfiles= [ file.get() for file in group ] name= groupfiles[-1] log_cb("Reading %s"%name, 1, verbose) try: xia= XiaEdf.XiaEdfScanFile(name, groupfiles[:-1]) except XiaEdf.XiaEdfError: xia= None errors += 1 error_cb(sys.exc_info()[1]) if xia is not None: for file in group: file.setDirectory(outdir) file.appendPrefix(outname) if sums is None: for file in group[:-1]: det= file.getDetector() if det is not None: log_cb("Working on detector #%02d"%det, 1, verbose) try: err= xia.correct(det, deadtime, livetime) name= file.get() if len(err): error_cb(" - WARNING: in %s"%name) for msg in err: error_cb(" * " + msg) log_cb(" - Saving %s"%name) xia.save(name, force) saved += 1 except XiaEdf.XiaEdfError: errors += 1 error_cb(sys.exc_info()[1]) else: log_cb("Working on group %s"%name, 1, verbose) file= group[-1] for isum in range(len(sums)): try: err= xia.sum(sums[isum], deadtime, livetime, avgflag) file.setType("sum", isum+1) name= file.get() if len(err): error_cb(" - WARNING: in %s"%name) for msg in err: error_cb(" * " + msg) log_cb(" - Saving %s"%name) xia.save(name, force) saved += 1 except XiaEdf.XiaEdfError: errors += 1 error_cb(sys.exc_info()[1]) processed += 1 done_cb(processed, total) done_cb(total, total) log_cb("\n* %d groups processed and %d files saved in %.2f sec"%(processed, saved, time.time()-tps)) if not errors: log_cb("* No errors found") else: log_cb("* %d errors found"%errors) log_cb("\n") def parseArguments(): import getopt, os.path prog= os.path.basename(sys.argv[0]) long = ["help", "input=", "output=", "force", "verbose", "deadtime", "livetime", "sum=", "avg", "name=", "parsing"] short= ["h", "i:", "o:", "f", "v", "d", "l", "s:", "a", "n:", "p"] try: opts, args= getopt.getopt(sys.argv[1:], " ".join(short), long) except getopt.error: print("XiaCorrect ERROR: Cannot parse command line arguments") print("\t%s" % sys.exc_info()[1]) sys.exit(0) parsing= 0 options= {"input": [], "files": [], "output": None, "force": 0, "name": "corr", "verbose": 0, "deadtime": 0, "livetime": 0, "sums": None, "avgflag": 0, "parsing": 0} for opt, arg in opts: if opt in ("-h", "--help"): printHelp() sys.exit(0) if opt in ("-i", "--input"): options["input"].append(os.path.normpath(arg)) if opt in ("-o", "--output"): options["output"]= os.path.normpath(arg) if opt in ("-f", "--force"): options["force"]= 1 if opt in ("-v", "--verbose"): options["verbose"]= 1 if opt in ("-d", "--deadtime"): options["deadtime"]= 1 if opt in ("-l", "--livetime"): options["livetime"]= 1 if opt in ("-n", "--name"): options["name"]= str(arg) if opt in ("-s", "--sum"): if options["sums"] is None: options["sums"]= [] try: ssum= [ int(det) for det in arg.split(",") ] if ssum[0]==-1: ssum= [] options["sums"].append(ssum) except: print("XiaCorrect ERROR: Cannot parse sum detectors") print("\t%s"%arg) sys.exit(0) if opt in ("-a", "--avg"): options["avgflag"]= 1 if opt in ("-p", "--parsing"): options["parsing"]= 1 for iinput in options["input"]: if not os.path.isdir(iinput): print("XiaCorrect WARNING: Input directory <%s> is not valid"%\ iinput) files= [ os.path.join(iinput, file) for file in os.listdir(iinput) ] if not len(files): print("XiaCorrect WARNING: Input directory <%s> is empty"%\ (iinput, prog)) else: options["files"]+= files if len(args): options["files"]+= args if not len(options["files"]): print("XiaCorrect ERROR: No input datafiles") sys.exit(0) if not options["parsing"]: if not options["deadtime"] and not options["livetime"] and options["sums"] is None: print("XiaCorrect ERROR: Must have at least deadtime, livetime or sum options") sys.exit(0) if options["output"] is not None: if not os.path.isdir(options["output"]): print("XiaCorrect ERROR: output directory is not valid") sys.exit(0) return options def printHelp(): prog= os.path.basename(sys.argv[0]) msg= """ %s [-h] [-v] [-f] [-d] [-l] [-a] [-s ] [-i ] [-o ] [] Options: [-h]/[--help] Print help message [-v]/[--verbose] Switch ON verbose mode [-f]/[--force] Force writing output files if they already exists [-d]/[--deadtime] Perform deadtime correction [-l]/[--livetime] Perform livetime normalization [-s]/[--sum] Sum given detectors. if detector list is set to (-1), all detectors are used: %s -s 2,4,8 --> will sum detectors 2,4 and 8 %s -s -1 --> will sum ALL detectors Several sums can be added: -s 2,4,6,7 -s 8,9,10,11 [-a]/[--avg] Sum(s) are averaged. Need <-s> to specify list of detectors: -s 2,3,4 -a --> will average detectors 2,3 and 4 [-i]/[--input] Specify input directory: all files in this directory which appears to be xia edf files are processed. Several [-i] options can be added: %s -d -i /tmp -i /data/opidXX [-o]/[--output] Specify output directories. If not specified, output files are saved in the same place as input file. [-n]/[--name] String to be appended to prefix for output filename. Default is \"corr\". [] Specify one or several input files. Wildcards can be used: %s -l file1.edf file2.edf /tmp/test*.edf Minimum options to work: [-l] , [-d] or [-s] [-i input] or """%(prog, prog, prog, prog, prog) print(msg) def mainCommandLine(): options= parseArguments() files= parseFiles(options["files"], options["verbose"]) if files is not None: if options["parsing"]: for group in files: print("FileGroup:") for file in group: print(" - ", file.get()) else: correctFiles(files, options["deadtime"], options["livetime"], options["sums"], options["avgflag"], \ options["output"], options["name"], options["force"], options["verbose"]) def mainGUI(app=None): from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui.pymca import XiaCorrectWizard if app is None: app= qt.QApplication(sys.argv) wid= XiaCorrectWizard.XiaCorrectWizard() ret= wid.exec_() if ret==qt.QDialog.Accepted: options= wid.get() files= parseFiles(options["files"], options["verbose"]) if files is not None: correctFiles(files, options["deadtime"], options["livetime"], options["sums"], options["avgflag"], \ options["output"], options["name"], options["force"], options["verbose"]) if __name__=="__main__": import sys if len(sys.argv)==1: mainGUI() else: mainCommandLine() PyMca5-5.2.2/PyMca5/PyMcaCore/SpecFileDataSource.py0000644000276300001750000010250313137667364021703 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy import types from . import DataObject from PyMca5.PyMcaIO import specfilewrapper as specfile SOURCE_TYPE = "SpecFile" DEBUG = 0 # Scan types # ---------- SF_EMPTY = 0 # empty scan SF_SCAN = 1 # non-empty scan SF_MESH = 2 # mesh scan SF_MCA = 4 # single mca SF_NMCA = 8 # multi mca (more than 1 mca per acq) SF_UMCA = 16 # mca number does not match pts number class SpecFileDataSource(object): Error= "SpecFileDataError" def __init__(self, nameInput): if type(nameInput) == type([]): nameList = nameInput else: nameList = [nameInput] if len(nameList) > 1: #who knows if one day will make selections thru several files... raise TypeError("Constructor needs string as first argument") if sys.version < '3.0': testTypes = [types.StringType, types.UnicodeType] else: testTypes = [type("")] for name in nameList: if type(name) not in testTypes: raise TypeError("Constructor needs string as first argument") self.sourceName = nameInput self.sourceType = SOURCE_TYPE self.__sourceNameList = nameList self.__source_info_cached = None self.refresh() def refresh(self): self._sourceObjectList=[] self.__fileHeaderList = [] for name in self.__sourceNameList: if not os.path.exists(name): raise ValueError("File %s does not exists" % name) for name in self.__sourceNameList: self._sourceObjectList.append(specfile.Specfile(name)) self.__fileHeaderList.append(False) self.__lastKeyInfo = {} def getSourceInfo(self): """ Returns information about the specfile object created by the constructor to give application possibility to know about it before loading. Returns a dictionary with the key "KeyList" (list of all available keys in this source). Each element in "KeyList" has the form 'n1.n2' where n1 is the scan number and n2 the order number in file starting at 1. """ return self.__getSourceInfo() def __getSourceInfo(self): scanlist=self.__getScanList() source_info={} source_info["Size"] = len(scanlist) source_info["KeyList"] = scanlist source_info["SourceType"] = SOURCE_TYPE num_mca=[] num_pts=[] commands=[] sf_type=[] for i in scanlist: sel=self._sourceObjectList[0].select(i) if self.__fileHeaderList[0] == False: try: self.__fileHeaderList[0] = sel.fileheader('') except: if DEBUG: print("getSourceInfo %s" % sys.exc_info()[1]) self.__fileHeaderList[0] = None try: n = sel.nbmca() except: n = 0 num_mca.append(n) try: n = sel.lines() except: n= 0 num_pts.append(n) try: n = sel.command() except: n= "" commands.append(n) source_info["FileHeader"] = self.__fileHeaderList[0] source_info["NumMca"] = num_mca source_info["NumPts"] = num_pts source_info["Commands"] = commands source_info["ScanType"] = map(self.__getScanType, num_pts, num_mca, commands) self.__source_info_cached = source_info return source_info def __getScanList(self): aux= self._sourceObjectList[0].list().split(",") newlistcount=[] newlist=[] for i in aux: if not (":" in i): start_index=end_index=int(i) else: s= i.split(":") start_index=int(s[0]) end_index=int(s[1]) for j in range(start_index,end_index+1): newlist.append(j) newlistcount.append(newlist.count(j)) for i in range(len(newlist)): newlist[i]="%d.%d" % (newlist[i],newlistcount[i]) return newlist def __getScanType(self, num_pts, num_mca, command): stype= SF_EMPTY if num_pts>0: if command is None: stype= SF_SCAN elif "mesh" in command: stype= SF_MESH else: stype= SF_SCAN if num_mca%num_pts: stype+= SF_UMCA elif num_mca==num_pts: stype+= SF_MCA elif num_mca>0: stype+= SF_NMCA else: if num_mca==1: stype= SF_MCA elif num_mca>1: stype= SF_NMCA return stype def getKeyInfo (self, key): """ If key given returns information of a perticular key. """ fileName = self.__sourceNameList[0] key_type= self.__getKeyType(key) if key_type=="scan": scan_key= key elif key_type=="mca": (scan_key, mca_no)=self.__getMcaPars(key) self.__lastKeyInfo[key] = os.path.getmtime(fileName) return self.__getScanInfo(scan_key) def __getKeyType (self,key): count= key.count('.') if (count==1): return "scan" elif (count==2) or (count==3): return "mca" else: raise KeyError("SpecFileDataSource: Invalid key") def __getScanInfo(self, scankey): index = 0 sourceObject = self._sourceObjectList[index] scandata= sourceObject.select(scankey) info={} info["SourceType"] = SOURCE_TYPE #doubts about if refer to the list or to the individual file info["SourceName"] = self.sourceName info["Key"] = scankey info['FileName'] = self.__sourceNameList[index] if self.__fileHeaderList[index] == False: try: self.__fileHeaderList[index] = scandata.fileheader('') except: if DEBUG: print("getScanInfo %s" % sys.exc_info()[1]) self.__fileHeaderList[index] = None info["FileHeader"] = self.__fileHeaderList[index] try: info["Number"] = scandata.number() except: info["Number"] = None try: info["Order"] = scandata.order() except: info["Order"] = None try: info["Cols"] = scandata.cols() except: info["Cols"] = 0 try: info["Lines"] = scandata.lines() except: info["Lines"] = 0 try: info["Date"] = scandata.date() except: info["Date"] = None if hasattr(scandata, "allmotors"): try: info["MotorNames"] = scandata.allmotors() except: info["MotorNames"] = None else: try: info["MotorNames"] = sourceObject.allmotors() except: info["MotorNames"] = None try: info["MotorValues"] = scandata.allmotorpos() except: info["MotorValues"] = None try: info["LabelNames"] = scandata.alllabels() except: info["LabelNames"] = [] try: info["Command"] = scandata.command() except: info["Command"] = None try: info["Header"] = scandata.header("") except: info["Header"] = None try: info["NbMca"] = scandata.nbmca() except: info["NbMca"] = 0 try: info["hkl"] = scandata.hkl() except: info["hkl"] = None if info["NbMca"]: if info["Lines"] > 0 and info["NbMca"] % info["Lines"] == 0: info["NbMcaDet"]= info["NbMca"] // info["Lines"] else: info["NbMcaDet"]= info["NbMca"] info["ScanType"]= self.__getScanType(info["Lines"], info["NbMca"], info["Command"]) return info def __getMcaInfo(self, mcano, scandata, info=None): if info is None: info = {} mcainfo= {} if "NbMcaDet" in info: det= info["NbMcaDet"] if info["Lines"]>0: mcainfo["McaPoint"]= int(mcano/info["NbMcaDet"])+(mcano%info["NbMcaDet"]>0) mcainfo["McaDet"]= mcano-((mcainfo["McaPoint"]-1)*info["NbMcaDet"]) try: mcainfo["LabelValues"]= scandata.dataline(mcainfo["McaPoint"]) except: mcainfo["LabelValues"]= None else: mcainfo["McaPoint"]= 0 mcainfo["McaDet"]= mcano mcainfo["LabelValues"]= None calib= scandata.header("@CALIB") mcainfo["McaCalib"]=[0.0,1.0,0.0] if len(calib): if len(calib) == info["NbMcaDet"]: calib = [calib[mcainfo["McaDet"]-1]] else: if DEBUG: print("Warning","Number of calibrations does not match number of MCAs") if len(calib) == 1: pass else: raise ValueError("Number of calibrations does not match number of MCAs") ctxt= calib[0].split() if len(ctxt)==4: #try: if 1: cval= [ float(ctxt[1]), float(ctxt[2]), float(ctxt[3]) ] mcainfo["McaCalib"]= cval else: #except: mcainfo["McaCalib"]=[0.0,1.0,0.0] ctime= scandata.header("@CTIME") if len(ctime): if len(ctime) == info["NbMcaDet"]: ctime = [ctime[mcainfo["McaDet"]-1]] else: if DEBUG: print("Warning","Number of counting times does not match number of MCAs") if len(ctime) == 1: pass else: raise ValueError("Number of counting times does not match number of MCAs") ctxt= ctime[0].split() if len(ctxt)==4: try: mcainfo["McaPresetTime"]= float(ctxt[1]) mcainfo["McaLiveTime"]= float(ctxt[2]) mcainfo["McaRealTime"]= float(ctxt[3]) except: pass chann = scandata.header("@CHANN") if len(chann): if len(chann) == info["NbMcaDet"]: chann = [chann[mcainfo["McaDet"] - 1]] else: if DEBUG: print("Warning","Number of @CHANN information does not match number of MCAs") if len(chann) == 1: pass else: raise ValueError("Number of @CHANN information does not match number of MCAs") ctxt= chann[0].split() if len(ctxt)==5: mcainfo['Channel0'] = float(ctxt[2]) else: mcainfo['Channel0'] = 0.0 else: mcainfo['Channel0'] = 0.0 return mcainfo def __getMcaPars(self,key): index = 0 nums= key.split('.') size = len(nums) sel_key = nums[0] + "." + nums[1] if size==3: mca_no=int(nums[2]) elif size==4: sel=self._sourceObjectList[index].select(sel_key) try: lines = sel.lines() except: lines=0 if nums[3]==0: mca_no=int(nums[2]) else: mca_no=((int(nums[3])-1)*lines)+int(nums[2]) else: raise KeyError("SpecFileData: Invalid key") return (sel_key,mca_no) def getDataObject(self,key,selection=None): """ Parameters: * key: key to be read from source. It is a string using the following formats: "s.o": loads all counter values (s=scan number, o=order) - if ScanType==SCAN: in a 2D array (mot*cnts) - if ScanType==MESH: in a 3D array (mot1*mot2*cnts) - if ScanType==MCA: single MCA in 1D array (0:channels) "s.o.n": loads a single MCA in a 1D array (0:channels) - if ScanType==NMCA: n is the MCA number from 1 to N - if ScanType==SCAN+MCA: n is the scan point number (from 1) - if ScanType==MESH+MCA: n is the scan point number (from 1) "s.o.p.n": loads a single MCA in a 1D array (0:channels) - if ScanType==SCAN+NMCA: p is the point number in the scan n is the MCA device number - if ScanType==MESH+MCA: p is first motor index n is second motor index "s.o.MCA": loads all MCA in an array - if ScanType==SCAN+MCA: 2D array (pts*mca) - if ScanType==NMCA: 2D array (mca_det*mca) - if ScanType==MESH+MCA: 3D array (pts_mot1*pts_mot2*mca) - if ScanType==SCAN+NMCA: 3D array (pts_mot1*mca_det*mca) - if ScanType==MESH+NMCA: creates N data page, one for each MCA device, with a 3D array (pts_mot1*pts_mot2*mca) """ key_type= self.__getKeyType(key) if key_type=="scan": scan_key= key elif key_type=="mca": (scan_key, mca_no)=self.__getMcaPars(key) if self.__source_info_cached is None: sourceinfo = self.getSourceInfo() sourcekeys = sourceinfo['KeyList'] else: sourceinfo = self.__source_info_cached sourcekeys = sourceinfo['KeyList'] if scan_key not in sourcekeys: sourceinfo = self.getSourceInfo() sourcekeys = sourceinfo['KeyList'] if scan_key not in sourcekeys: raise KeyError("Key %s not in source keys" % key) mca3D = False if DEBUG: print("SELECTION = ", selection) print("key_type = ", key_type) if key_type == "scan": if selection is not None: if 'mcalist' in selection: mca3D = True if (key_type=="scan") and (not mca3D): output = self._getScanData(key, raw = True) output.x = None output.y = None output.m = None output.info['selection'] = selection if selection is None: output.info['selectiontype'] = "2D" return output elif type(selection) != type({}): #I only understand index selections raise TypeError("Only selections of type {x:[],y:[],m:[]} understood") else: if 'x' in selection: indexlist = [] for labelindex in selection['x']: if labelindex != 0: if 'cntlist' in selection: label = selection['cntlist'][labelindex] else: label = output.info['LabelNames'][labelindex] else: label = output.info['LabelNames'][labelindex] if label not in output.info['LabelNames']: raise ValueError("Label %s not in scan labels" % label) index = output.info['LabelNames'].index(label) if output.x is None: output.x = [] output.x.append(output.data[:, index]) indexlist.append(index) output.info['selection']['x'] = indexlist if 'y' in selection: indexlist = [] for labelindex in selection['y']: if 'cntlist' in selection: label = selection['cntlist'][labelindex] else: label = output.info['LabelNames'][labelindex] if label not in output.info['LabelNames']: raise ValueError("Label %s not in scan labels" % label) index = output.info['LabelNames'].index(label) if output.y is None: output.y = [] output.y.append(output.data[:, index]) indexlist.append(index) output.info['selection']['y'] = indexlist if 'm' in selection: indexlist = [] for labelindex in selection['m']: if 'cntlist' in selection: label = selection['cntlist'][labelindex] else: label = output.info['LabelNames'][labelindex] if label not in output.info['LabelNames']: raise ValueError("Label %s not in scan labels" % label) index = output.info['LabelNames'].index(label) if output.m is None: output.m = [] output.m.append(output.data[:, index]) indexlist.append(index) output.info['selection']['m'] = indexlist output.info['selection']['cntlist'] = output.info['LabelNames'] output.info['selectiontype'] = "1D" if output.x is not None: output.info['selectiontype'] = "%dD" % len(output.x) output.data = None elif key_type=="mca": output = self._getMcaData(key) selectiontype = "1D" if selection is not None: selectiontype = selection.get('selectiontype', "1D") output.info['selectiontype'] = selectiontype if output.info['selectiontype'] not in ['2D', '3D', 'STACK']: ch0 = int(output.info['Channel0']) output.x = [numpy.arange(ch0, ch0 + len(output.data)).astype(numpy.float)] output.y = [output.data[:].astype(numpy.float)] output.m = None output.data = None else: output.x = None output.y = None output.m = None output.data = None npoints = output.info['NbMca']/output.info['NbMcaDet'] index = 0 scan_obj = self._sourceObjectList[index].select(scan_key) SPECFILE = True if isinstance(self._sourceObjectList[index], specfile.specfilewrapper): SPECFILE = False for i in range(npoints): if SPECFILE: wmca_no= mca_no + output.info['NbMcaDet'] * i mcaData= scan_obj.mca(wmca_no) else: mca_key = '%s.%d' % (scan_key, mca_no) mcaData = self._getMcaData(mca_key).data if i == 0: nChannels = mcaData.shape[0] output.data = numpy.zeros((npoints, nChannels), numpy.float32) output.data[i,:] = mcaData #I have all the MCA data ready for image plot if selectiontype == 'STACK': output.data.shape = 1, npoints, -1 shape = output.data.shape for i in range(len(shape)): key = 'Dim_%d' % (i+1,) output.info[key] = shape[i] output.info["SourceType"] = "SpecFileStack" output.info["SourceName"] = self.sourceName output.info["Size"] = shape[0] * shape[1] output.info["NumberOfFiles"] = 1 output.info["FileIndex"] = 1 elif (key_type=="scan") and mca3D: output = self._getScanData(key, raw = True) output.x = None output.y = None output.m = None #get the number of counters in the scan if 'cntlist' in selection: ncounters = len(selection['cntlist']) else: ncounters = output.info['LabelNames'] # For the time being assume only one mca can be selected detectorNumber = selection['y'][0] - ncounters #read the first mca data of the first point mca_key = '%s.%d.%d' % (key, 1+detectorNumber, 1) mcaData = self._getMcaData(mca_key) ch0 = int(mcaData.info['Channel0']) calib = mcaData.info['McaCalib'] nChannels = float(mcaData.data.shape[0]) channels = numpy.arange(nChannels) + ch0 #apply the calibration channels = calib[0] + calib[1] * channels +\ calib[2] * channels * channels ones =numpy.ones(nChannels) #get the different x components xselection = selection.get('x', []) if len(xselection) != 2: raise ValueError("You have to select two X axes") indexlist = [] for labelindex in xselection: if labelindex != 0: if 'cntlist' in selection: label = selection['cntlist'][labelindex] else: label = output.info['LabelNames'][labelindex] else: label = output.info['LabelNames'][labelindex] if label not in output.info['LabelNames']: raise ValueError("Label %s not in scan labels" % label) index = output.info['LabelNames'].index(label) if output.x is None: output.x = [] output.x.append(output.data[:, index]) indexlist.append(index) npoints = output.x[0].shape[0] output.info['selection'] = selection output.info['selection']['x'] = indexlist for i in range(len(output.x)): output.x[i] = numpy.outer(output.x[i], ones).flatten() tmp = numpy.outer(channels, numpy.ones(float(npoints))).flatten() output.x.append(tmp) output.y = [numpy.zeros(nChannels * npoints,numpy.float)] for i in range(npoints): mca_key = '%s.%d.%d' % (key, 1+detectorNumber, 1) mcaData = self._getMcaData(mca_key) output.y[0][(i*nChannels):((i+1)*nChannels)] = mcaData.data[:] if 'm' in selection: indexlist = [] for labelindex in selection['m']: if 'cntlist' in selection: label = selection['cntlist'][labelindex] else: label = output.info['LabelNames'][labelindex] if label not in output.info['LabelNames']: raise ValueError("Label %s not in scan labels" % label) index = output.info['LabelNames'].index(label) if output.m is None: output.m = [] output.m.append(output.data[:, index]) indexlist.append(index) output.info['selection']['m'] = indexlist if output.m is not None: output.m[0] = numpy.outer(output.m[0], ones).flatten() output.info['selection']['cntlist'] = output.info['LabelNames'] output.info['selectiontype'] = "3D" output.info['LabelNames'] = selection['cntlist'] + selection['mcalist'] output.data = None return output def _getScanData(self, scan_key, raw=False): index = 0 scan_obj = self._sourceObjectList[index].select(scan_key) scan_info= self.__getScanInfo(scan_key) scan_info["Key"] = scan_key scan_info["FileInfo"] = self.__getFileInfo() scan_type = scan_info["ScanType"] scan_data = None if scan_type&SF_SCAN: try: scan_data= numpy.transpose(scan_obj.data()).copy() except: raise IOError("SF_SCAN read failed") elif scan_type&SF_MESH: try: if raw: try: scan_data= numpy.transpose(scan_obj.data()).copy() except: raise IOError("SF_MESH read failed") else: scan_array = scan_obj.data() (mot1,mot2,cnts) = self.__getMeshSize(scan_array) scan_data = numpy.zeros((mot1,mot2,cnts), numpy.float) for idx in range(mot2): scan_data[:,idx,:] = numpy.transpose(scan_array[:,idx*mot1:(idx+1)*mot1]).copy() scan_data = numpy.transpose(scan_data).copy() except: raise IOError("SF_MESH read failed") elif scan_type&SF_MCA: try: scan_data = scan_obj.mca(1) except: raise IOError("SF_MCA read failed") elif scan_type&SF_NMCA: try: scan_data = scan_obj.mca(1) except: raise IOError("SF_NMCA read failed") if scan_data is not None: #create data object dataObject = DataObject.DataObject() #data.info = self.__getKeyInfo(key) dataObject.info = scan_info dataObject.data = scan_data return dataObject else: raise TypeError("getData unknown type") def _getMcaData(self, key): index = 0 key_split= key.split(".") scan_key= key_split[0]+"."+key_split[1] scan_info = {} scan_info["Key"]= key scan_info["FileInfo"] = self.__getFileInfo() scan_obj = self._sourceObjectList[index].select(scan_key) scan_info.update(self.__getScanInfo(scan_key)) scan_type= scan_info["ScanType"] scan_data= None mca_range= [] # for each dim., (name, length, values or None) if len(key_split)==3: if scan_type&SF_NMCA or scan_type&SF_MCA: try: mca_no= int(key_split[2]) scan_data= scan_obj.mca(mca_no) except: raise IOError("Single MCA read failed") if scan_data is not None: scan_info.update(self.__getMcaInfo(mca_no, scan_obj, scan_info)) dataObject = DataObject.DataObject() dataObject.info = scan_info dataObject.data = scan_data return dataObject elif len(key_split) == 4: if scan_type == SF_SCAN + SF_NMCA: try: mca_no = (int(key_split[2])-1) * scan_info["NbMcaDet"] + \ int(key_split[3]) scan_data = scan_obj.mca(mca_no) except: raise IOError("SF_SCAN+SF_NMCA read failed") elif scan_type == SF_MESH + SF_MCA: try: #scan_array= scan_obj.data() #(mot1,mot2,cnts)= self.__getMeshSize(scan_array) #mca_no= 1 + int(key_split[2]) + int(key_split[3])*mot1 mca_no = (int(key_split[2])-1) * scan_info["NbMcaDet"] + \ int(key_split[3]) if DEBUG: print("try to read mca number = ",mca_no) print("total number of mca = ",scan_info["NbMca"]) scan_data = scan_obj.mca(mca_no) except: raise IOError("SF_MESH+SF_MCA read failed") elif scan_type & SF_NMCA or scan_type & SF_MCA: try: mca_no = (int(key_split[2])-1) * scan_info["NbMcaDet"] + \ int(key_split[3]) scan_data = scan_obj.mca(mca_no) except: raise IOError("SF_MCA or SF_NMCA read failed") else: raise TypeError("Unknown scan type!!!!!!!!!!!!!!!!") if scan_data is not None: scan_info.update(self.__getMcaInfo(mca_no, scan_obj, scan_info)) dataObject = DataObject.DataObject() dataObject.info = scan_info dataObject.data = scan_data return dataObject def __getFileInfo(self): index = 0 source = self._sourceObjectList[index] file_info={} try: file_info["Title"] = source.title() except: file_info["Title"] = None try: file_info["User"] = source.user() except: file_info["User"] = None try: file_info["Date"] = source.date() except: file_info["Date"] = None try: file_info["Epoch"] = source.epoch() except: file_info["Epoch"] = None try: file_info["ScanNo"] = source.scanno() except: file_info["ScanNo"] = None return file_info def __getMeshSize(self, scan_array): """ Given the scandata array, return the size tuple of the mesh """ mot2_array = scan_array[1] mot2_max = mot2_array.shape[0] mot1_idx = 1 while mot1_idx < mot2_max and mot2_array[mot1_idx] == mot2_array[0]: mot1_idx+=1 mot2_idx = scan_array.shape[1] // mot1_idx cnts_idx = scan_array.shape[0] return (mot1_idx, mot2_idx, cnts_idx) def __getScanMotorRange(self, info, obj): name = info["LabelNames"][0] values = obj.datacol(1) length = values.shape[0] return (name, values, length) def __getMeshMotorRange(self, info, obj): return () def isUpdated(self, sourceName, key): #sourceName is redundant? index = 0 lastmodified = os.path.getmtime(self.__sourceNameList[index]) if key not in self.__lastKeyInfo.keys(): #nothing has been read??? self.__lastKeyInfo[key] = lastmodified return False if lastmodified != self.__lastKeyInfo[key]: self.__lastKeyInfo[key] = lastmodified return True else: return False source_types = { SOURCE_TYPE: SpecFileDataSource} def DataSource(name="", source_type=SOURCE_TYPE): try: sourceClass = source_types[source_type] except KeyError: #ERROR invalid source type raise TypeError("Invalid Source Type, source type should be one of %s" % source_types.keys()) return sourceClass(name) if __name__ == "__main__": import time if len(sys.argv) not in [2,3,4]: print("Usage: %s []") sys.exit() filename= sys.argv[1] sf = SpecFileDataSource(filename) sf = DataSource(filename) if len(sys.argv)==2: info= sf.getSourceInfo() print("Filename :", sf.sourceName) print("Number of scans :", info["Size"]) print("S# - command - pts - mca - type") for (s,c,p,m,t) in zip(info["KeyList"],info["Commands"],info["NumPts"],info["NumMca"],info["ScanType"]): print(s,"-",c,"-",p,"-",m,"-",t) print("KeyList = ",info["KeyList"]) #print info['Channel0'] if len(sys.argv)==3: t0 = time.time() dataObject = sf.getDataObject(sys.argv[2]) t0 = time.time() - t0 info= dataObject.info data= dataObject.data print("Filename :", info['SourceName']) print("Loaded key :", info["Key"]) print("Header :") for i,v in info.items(): print("-", i, ":", v) print("Data Shape :", data.shape) print("read time = ",t0) if len(sys.argv)==4: t0 = time.time() label = sys.argv[3] dataObject = sf.getDataObject(sys.argv[2], selection={'x':[label], 'y':[label], 'm':[label]}) t0 = time.time() - t0 info= dataObject.info #print dataObject.x print(dataObject.y) #print dataObject.x PyMca5-5.2.2/PyMca5/PyMcaCore/EventHandler.py0000644000276300001750000002360113136054446020604 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" """ This module implements an event handler class. This a communication system between objects based on a pattern observer / producer. The producer generates events, and the observer are listening to events. The event handler is designed to manage this communication. The communication is completely synchronous. (This is differnet to the X mainloop where callbacks are not interrupted.) The events have a hierarchy which is specified by a fullname just like other python classes (i.e The callback of the NewDataEvent.XNewDataEvent event is called when its parent the NewDataEvent is fired and also when the XNewDataEvent is fired). The pattern should be the following: Class1 sends events. It will be responsible to create them in the beginning with: myevent = eh.create("myevent") and later send the event with eh.event (myevent, arg1, arg2, ...) Class2 receives events. It will be responsible to register its interest in the events and specify the methods to be called The Main program should create the eventhandler eh = Eventhandler() and pass it to the constructor of the classes Class1(eh=eh) Class2(eh=eh) Some conventions: * All the registered events should have public documented methods as alternatives. The classes should not rely on the fact that an eventhandler is passed * The eventhandler argument should be a keyword called eh and defaults to None and should not be necessary. You should forsee that the functionality can be used via std callbacks (i.e in the constructor selectcb=select), overriding std methods (i.e. select() or simple methods in your class to set a callback or provide the information directly (i.e SetSelectCB(), GetSelection) Events: Classes derived from the Event class Full event names: A string with the event name fully specified (i.e. a.b.c) """ __version__ = '0.1Beta' class Event(object): pass class OneEvent(object): def __init__(self, parent = None, event = None): self.parent = parent self.event = event self.callbacks = [] self.creator = None self.created = 0 class EventHandler(object): def __init__(self): self.callbacks = {} self.fulldict = {} self.rootevent = OneEvent(event = Event) self.events = {} def _create(self, fulleventstr, myid = None): try: return self.fulldict[fulleventstr] except KeyError: try: idx = fulleventstr.rindex(".") + 1 parentstr = fulleventstr[:idx-1] parent = self._create(parentstr) except ValueError: parent = self.rootevent idx = 0 #event = new.classobj(fulleventstr[idx:], (parent.event,), globals()) event = type(fulleventstr[idx:], (parent.event,), globals()) self.fulldict[fulleventstr] = OneEvent(event = event, parent = parent) return self.fulldict[fulleventstr] def create(self, fulleventstr, myid = None): """ Create the event. This call will take a full classname a.b.c and create the event calls and all the parent classes if necessary. It returns the eventclassobject which can be used to fire the event later. It is no error to create the class after registering for it, but it is an error to fire an event before creating it. Normally the event producer is responsible for creating it """ oe = self._create(fulleventstr, myid = myid) oe.creator = myid oe.created = 1 self.preparefastevents() return oe.event def register(self, fulleventstr, callback, myid = None, source = None): """ Register the event a.b.c with callback . You have to specify the full name of the event class as it might be created during this call. A later create call with the same event will just confirm this creation. You can specify an id for yourself and an id for the source you would like to listen to. The source restrictions are not yet implemented because of performance considerations. """ oe = self._create(fulleventstr) oe.callbacks.append((callback, myid, source)) self.preparefastevents() return oe.event def unregister(self, fulleventstr, callback, myid = None): """ Unregister the callback from the eventclass a.b.c. The id has to be specified if it has been specified on registering the callback """ try: oe = self.fulldict[fulleventstr] for cb, regid, source in oe.callbacks: if cb == callback and regid == myid: oe.callbacks.remove((cb, myid, source)) except KeyError: # there is no such event pass self.preparefastevents() def dumptostr(self, fullname, cbflag = 1): s = "%s: " % fullname try: oe = self.fulldict[fullname] except KeyError: return s + "undefined\n" if oe.created == 0: creator = "" elif oe.creator is None: creator = "creator not specified" else: creator = "created by " + oe.creator s = s + "(%s)\n" % creator if cbflag: for cb, regid, source in oe.callbacks: try: cbname = cb.__name__ except AttributeError: cbname = "%s" % cb s = s + " %s" % cbname if regid: s = s + " (reg by: %s)" % str(regid) if source: s = s + " (only: %s)" % str(source) s = s + "\n" return s def dumpalltostr(self): s = "" for fullname in self.fulldict.keys(): s = s + self.dumptostr(fullname) return s def preparefastevents(self): """ calculate the callback functions for all possible events """ self.events = {} self.callbacks = {} for fullev, oe in self.fulldict.items(): events = fullev.split(".") self.events[events[-1]] = oe.event # only for our callers cbs = [x[0] for x in self.fulldict[fullev].callbacks] for i in range(len(events)): evname = ".".join(events[:i+1]) ev = self.fulldict[evname].event try: self.callbacks[ev] = self.callbacks[ev] + cbs except: self.callbacks[ev] = cbs def event(self, event, *args, **kw): """ Fire the event with arguments and keywords """ if event in self.callbacks.keys(): for cb in self.callbacks[event]: cb(*args, **kw) else: print("Warning: missing event ",event) def getfullevents(self): """ return a list with fully specified event names (a.b.c) """ return self.fulldict.keys() def getevents(self): """ return a list with name item tuples. """ evdict = {} for fullev in self.fulldict.keys(): events = fullev.split(".") dict = evdict for i in range(len(events)): evname = events[i] if not (evname in dict): dict[evname] = {} dict = dict[evname] return self._dict2tup(evdict) def _dict2tup(self, dict): li = [] for key, item in dict.items(): if item == {}: li.append((key, 0)) else: li.append((key, self._dict2tup(item))) return li def test(eh = None): """EventHandler class test function""" def callback1(data, more=None): print('Hi callback 1 (Data) with data : %s and %s' % (data, more)) def callback2(data, more=None): print('Hi callback 2 (XData) with data : %s and %s' % (data, more)) def callback3(data, more=None): print('Hi callback 3 (Ydata) with data : %s and %s' % (data, more)) if eh is None: eh = EventHandler() NewDataEvent = eh.create("NewDataEvent") XNewDataEvent = eh.create("NewDataEvent.XNewDataEvent") YNewDataEvent = eh.create("NewDataEvent.YNewDataEvent") eh.register("NewDataEvent", callback1) eh.register("NewDataEvent.XNewDataEvent" , callback2) eh.register("NewDataEvent.YNewDataEvent" , callback3) print("%s" % eh.getevents()) eh.event(XNewDataEvent, "this is data for 2") eh.event(NewDataEvent, "this is data for 1,2,3", more=[1,2,3]) eh.event(eh.events["YNewDataEvent"], "more for 3") try: eh.event("XNewDataEvent", "this is data again") except KeyError: print("Error: String as Event has been detected sucessfully") eh.unregister("NewDataEvent", callback1) eh.event(NewDataEvent, "this is data again again") if __name__ == '__main__': test() PyMca5-5.2.2/PyMca5/PyMcaCore/PyMcaLogo.py0000644000276300001750000001327513136054446020065 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" PyMcaLogo = [ "55 68 8 1", " c blue", ". c #07070707fcfc0000", "X c #3b3b3b3bfdfd0000", "o c #8c8c8c8cfdfd0000", "O c #babababafbfb0000", "+ c #e0e0e0e0fdfd0000", "@ c #f7f7f7f7fdfd0000", "# c white", "#######################################################", "#######################################################", "#######################################################", "###########################O+##########################", "#####################OO####.o###@o@####################", "#####################oX####+@###+.+####################", "################@@#########oO#########+################", "################Xo####XX##+ X##+XO###@.o###############", "################O+###@..###o+##O o####O+###############", "#################OXO##++###O+###+###oX#################", "###########@O@###o o##@Xo@o .@OXo###X.@###+O###########", "###########O O####+@+#O OO .@o .#@+@+####XX###########", "############+#oO###X o@XX##+@#OXo@X O##@oO@@###########", "#############+ X###X X##@+###@+##@. o##O X#############", "##############O++o++o@#O. X#+. X@#+O#oo@O+#############", "########+o@#####X X####X OX o###+ O#####Oo########", "########O.+Oo###o.o@OO#X +o O@O+@XX+##+o@oX########", "###########X +@O@##X o+X.o#@X.o+. O##+O#o o##########", "###########Oo#X o#+ .#########o X#@. o+o@##########", "##############X o##. X#########+ o#@. O#############", "#######@######@O###OXo+##########OXo@##++######@#######", "#######.o@Xo#Oo+#OXo@##############OXo@#Oo+@Xo#Xo######", "#######o++.X#. o+. X#############+. X#. o+ X#oO######", "##########+@#X.OO X#############O X#o.O#+@#########", "################@X o#############@X o################", "#############oX+#@OO###############@O+##oX+############", "#######O@+Xo#. o##oXO#############@oo+##. o+.o#+@######", "#######.o+.X#oX+#O O############X X##oXO+.X#.o######", "#######+@#@######o o############. +#####@##+@######", "##############o.O+. .O############X X#X.O#############", "###########++#X o#+o+OXX+######OXo@Oo@@. o@O###########", "###########X.++o+###@. X#@OO#+ o####Oo@o o##########", "########OX@oX@##OXO#+ .@X oO X##oX@##OX+OX########", "########+X@#####X X##X oO X@X .O#+ O#####OX########", "##############+@OXO@+#O+#+. X#@O+@+#XX++@#############", "#############+.X###X o####OXX+###@. O##+.X#############", "#############@Xo###X o#oo##@##+o+@. o##@Xo#############", "###########+X+#####@o@O +O.X#o X#+O######oX###########", "###########+o+###O.O##+XX@o .@O.o###XX@###Oo###########", "#################o o######@oO#######X.@################", "################+@+##@XX###+@##+.o##@@+################", "################Xo###@.X##+ X##O.o###@.o###############", "################O+####@@##@Xo###+#####O@###############", "#####################oo#########+X+#####@@@@@@@@@@@@@@#", "#o X#####oo####Xo###+X+####+ @", "#OXXXXXXXXXXXXXX###########oO##########+XXXXXXXXXXXXXX@", "#######################################################", "#######################################################", "#+OOOOOOOOOOO@####OoooO#O@#OOOOOOOOO+#####OOOOOOOOOOOO#", "##@o .ooXX O###o.O+OXX.@#@o ooo. XO####O XooX. X#", "###O .####O.O##O o####o @##@ +##+. .+####. O###@XX#", "###O .###@#oO##X o#####X@##@ +###X o####. O####@o#", "###O .##+O#+O##X .O####o@##@ +###o X####. O##++#O#", "###O .##oO#####o XO######@ +###X o####. O##o+###", "###O .#+.O#####+. X+####@ +##O. .+####. O#O.+###", "###O X. O######O. .O###@ ooX. XO#####. XX +###", "###O .#O.O#######@o. O##@ OX .+######. O@o.+###", "###O .##oO#####+###+o X##@ ++. X######. O##o+###", "###O .##+O##O+#o#####O. .##@ +#O o#####. O##O+###", "###O .###@##X@#X+#####X X##@ +##o .O####. O##@@###", "###O .#####o.##.X@####o O##@ +##@X X@###. O#######", "###o oOOoX X##..XO##O.o###O O###+. X@#+ o#######", "#+oooooooooooO##o#+oXXXO###Ooooooo@##OooooOoooooo+#####", "#######################################################", "#######################################################", "#oXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX#", "#o...................................................X#", "#######################################################" ] PyMca5-5.2.2/PyMca5/PyMcaCore/NexusDataSource.py0000644000276300001750000004142513136054446021306 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy import h5py from operator import itemgetter import re import posixpath phynx = h5py if sys.version > '2.9': basestring = str from . import DataObject SOURCE_TYPE = "HDF5" DEBUG = 0 #sorting method def h5py_sorting(object_list): sorting_list = ['start_time', 'end_time', 'name'] n = len(object_list) if n < 2: return object_list # This implementation only sorts entries if posixpath.dirname(object_list[0].name) != "/": return object_list names = list(object_list[0].keys()) sorting_key = None for key in sorting_list: if key in names: sorting_key = key break if sorting_key is None: if 'name' in sorting_list: sorting_key = 'name' else: return object_list try: if sorting_key != 'name': sorting_list = [(o[sorting_key].value, o) for o in object_list] sorted_list = sorted(sorting_list, key=itemgetter(0)) return [x[1] for x in sorted_list] if sorting_key == 'name': sorting_list = [(_get_number_list(o.name),o) for o in object_list] sorting_list.sort() return [x[1] for x in sorting_list] except: #The only way to reach this point is to have different #structures among the different entries. In that case #defaults to the unfiltered case print("WARNING: Default ordering") print("Probably all entries do not have the key %s" % sorting_key) return object_list def _get_number_list(txt): rexpr = '[/a-zA-Z:-]' nbs= [float(w) for w in re.split(rexpr, txt) if w not in ['',' ']] return nbs def get_family_pattern(filelist): name1 = filelist[0] name2 = filelist[1] if name1 == name2: return name1 i0=0 for i in range(len(name1)): if i >= len(name2): break elif name1[i] == name2[i]: pass else: break i0 = i for i in range(i0,len(name1)): if i >= len(name2): break elif name1[i] != name2[i]: pass else: break i1 = i if i1 > 0: delta=1 while (i1-delta): if (name2[(i1-delta)] in ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']): delta = delta + 1 else: if delta > 1: delta = delta -1 break fmt = '%dd' % delta if delta > 1: fmt = "%0" + fmt else: fmt = "%" + fmt rootname = name1[0:(i1-delta)]+fmt+name2[i1:] else: rootname = name1[0:] return rootname class NexusDataSource(object): def __init__(self,nameInput): if type(nameInput) == type([]): nameList = nameInput else: nameList = [nameInput] self.sourceName = [] for name in nameList: if not isinstance(name, basestring): if not isinstance(name, phynx.File): text = "Constructor needs string as first argument" raise TypeError(text) else: self.sourceName.append(name.file) continue self.sourceName.append(name) self.sourceType = SOURCE_TYPE self.__sourceNameList = self.sourceName self._sourceObjectList=[] self.refresh() def refresh(self): for instance in self._sourceObjectList: instance.close() self._sourceObjectList=[] FAMILY = False for name in self.__sourceNameList: if isinstance(name, phynx.File): self._sourceObjectList.append(name) continue if not os.path.exists(name): if '%' in name: phynxInstance = phynx.File(name, 'r', driver='family') else: raise IOError("File %s does not exists" % name) try: phynxInstance = phynx.File(name, 'r') except IOError: if 'FAMILY DRIVER' in sys.exc_info()[1].args[0].upper(): FAMILY = True else: raise except TypeError: try: phynxInstance = phynx.File(name, 'r') except IOError: if 'FAMILY DRIVER' in sys.exc_info()[1].args[0].upper(): FAMILY = True else: raise if FAMILY and (len(self._sourceObjectList) > 0): txt = "Mixing segmented and non-segmented HDF5 files not supported yet" raise IOError(txt) elif FAMILY: break phynxInstance._sourceName = name self._sourceObjectList.append(phynxInstance) if FAMILY: pattern = get_family_pattern(self.__sourceNameList) if '%' in pattern: phynxInstance = phynx.File(pattern, 'r', driver='family') else: raise IOError("Cannot read set of HDF5 files") self.sourceName = [pattern] self.__sourceNameList = [pattern] self._sourceObjectList=[phynxInstance] phynxInstance._sourceName = pattern self.__lastKeyInfo = {} def getSourceInfo(self): """ Returns a dictionary with the key "KeyList" (list of all available keys in this source). Each element in "KeyList" has the form 'n1.n2' where n1 is the source number and n2 entry number in file both starting at 1. """ return self.__getSourceInfo() def __getSourceInfo(self): SourceInfo={} SourceInfo["SourceType"]=SOURCE_TYPE SourceInfo["KeyList"]=[] i = 0 for sourceObject in self._sourceObjectList: i+=1 nEntries = len(sourceObject["/"].keys()) for n in range(nEntries): SourceInfo["KeyList"].append("%d.%d" % (i,n+1)) SourceInfo["Size"]=len(SourceInfo["KeyList"]) return SourceInfo def getKeyInfo(self, key): if key in self.getSourceInfo()['KeyList']: return self.__getKeyInfo(key) else: #should we raise a KeyError? if DEBUG: print("Error key not in list ") return {} def __getKeyInfo(self,key): try: index, entry = key.split(".") index = int(index)-1 entry = int(entry)-1 except: #should we rise an error? if DEBUG: print("Error trying to interpret key = %s" % key) return {} sourceObject = self._sourceObjectList[index] info = {} info["SourceType"] = SOURCE_TYPE #doubts about if refer to the list or to the individual file info["SourceName"] = self.sourceName[index] info["Key"] = key #specific info of interest info['FileName'] = sourceObject.name return info def getDataObject(self, key, selection=None): """ key: a string of the form %d.%d indicating the file and the entry starting by 1. selection: a dictionnary generated via QNexusWidget """ if selection is not None: if 'sourcename' in selection: filename = selection['sourcename'] entry = selection['entry'] fileIndex = self.__sourceNameList.index(filename) phynxFile = self._sourceObjectList[fileIndex] if entry == "/": entryIndex = 0 else: entryIndex = list(phynxFile["/"].keys()).index(entry[1:]) else: key_split = key.split(".") fileIndex = int(key_split[0])-1 phynxFile = self._sourceObjectList[fileIndex] entryIndex = int(key_split[1])-1 entry = phynxFile["/"].keys()[entryIndex] actual_key = "%d.%d" % (fileIndex+1, entryIndex+1) if actual_key != key: if entry != "/": print("Warning selection keys do not match") else: #Probably I should find the acual entry following h5py_ordering output #and search for an NXdata plot. sourcekeys = self.getSourceInfo()['KeyList'] #a key corresponds to an image key_split= key.split(".") actual_key= "%d.%d" % (int(key_split[0]), int(key_split[1])) if actual_key not in sourcekeys: raise KeyError("Key %s not in source keys" % actual_key) raise NotImplemented("Direct NXdata plot not implemented yet") #create data object output = DataObject.DataObject() output.info = self.__getKeyInfo(actual_key) output.info['selection'] = selection if selection['selectiontype'].upper() in ["SCAN", "MCA"]: output.info['selectiontype'] = "1D" elif selection['selectiontype'] == "3D": output.info['selectiontype'] = "3D" elif selection['selectiontype'] == "2D": output.info['selectiontype'] = "2D" output.info['imageselection'] = True else: raise TypeError("Unsupported selection type %s" %\ selection['selectiontype']) if 'LabelNames' in selection: output.info['LabelNames'] = selection['LabelNames'] elif 'aliaslist' in selection: output.info['LabelNames'] = selection['aliaslist'] else: output.info['LabelNames'] = selection['cntlist'] output.x = None output.y = None output.m = None output.data = None for cnt in ['y', 'x', 'm']: if not cnt in selection: continue if not len(selection[cnt]): continue path = entry + selection['cntlist'][selection[cnt][0]] data = phynxFile[path] totalElements = 1 for dim in data.shape: totalElements *= dim if totalElements < 2.0E7: try: data = phynxFile[path].value except MemoryError: data = phynxFile[path] pass if output.info['selectiontype'] == "1D": if len(data.shape) == 2: if min(data.shape) == 1: data = numpy.ravel(data) else: raise TypeError("%s selection is not 1D" % cnt.upper()) elif len(data.shape) > 2: raise TypeError("%s selection is not 1D" % cnt.upper()) if cnt == 'y': if output.info['selectiontype'] == "2D": output.data = data else: output.y = [data] elif cnt == 'x': #there can be more than one X except for 1D if output.info['selectiontype'] == "1D": if len(selection[cnt]) > 1: raise TypeError("%s selection is not 1D" % cnt.upper()) if output.x is None: output.x = [data] if len(selection[cnt]) > 1: for xidx in range(1, len(selection[cnt])): path = entry + selection['cntlist'][selection[cnt][xidx]] data = phynxFile[path].value output.x.append(data) elif cnt == 'm': #only one monitor output.m = [data] # MCA specific if selection['selectiontype'].upper() == "MCA": if not 'Channel0' in output.info: output.info['Channel0'] = 0 """" elif selection['selectiontype'].upper() in ["BATCH"]: #assume already digested output.x = None output.y = None output.m = None output.data = None entryGroup = phynxFile[entry] output.info['Channel0'] = 0 for key in ['y', 'x', 'm', 'data']: if key not in selection: continue if type(selection[key]) != type([]): selection[key] = [selection[key]] if not len(selection[key]): continue for cnt in selection[key]: dataset = entryGroup[cnt] if cnt == 'y': if output.y is None: output.y = [dataset] else: output.y.append(dataset) elif cnt == 'x': if output.x is None: output.x = [dataset] else: output.x.append(dataset) elif cnt == 'm': if output.m is None: output.m = [dataset] else: output.m.append(dataset) elif cnt == 'data': if output.data is None: output.data = [dataset] else: output.data.append(dataset) """ return output def isUpdated(self, sourceName, key): #sourceName is redundant? index, entry = key.split(".") index = int(index)-1 lastmodified = os.path.getmtime(self.__sourceNameList[index]) if lastmodified != self.__lastKeyInfo[key]: self.__lastKeyInfo[key] = lastmodified return True else: return False source_types = { SOURCE_TYPE: NexusDataSource} def DataSource(name="", source_type=SOURCE_TYPE): try: sourceClass = source_types[source_type] except KeyError: #ERROR invalid source type raise TypeError("Invalid Source Type, source type should be one of %s" %\ source_types.keys()) return sourceClass(name) if __name__ == "__main__": import time try: sourcename=sys.argv[1] key =sys.argv[2] except: print("Usage: NexusDataSource ") sys.exit() #one can use this: obj = NexusDataSource(sourcename) #or this: obj = DataSource(sourcename) #data = obj.getData(key,selection={'pos':(10,10),'size':(40,40)}) #data = obj.getDataObject(key,selection={'pos':None,'size':None}) t0 = time.time() data = obj.getDataObject(key,selection=None) print("elapsed = ",time.time() - t0) print("info = ",data.info) if data.data is not None: print("data shape = ",data.data.shape) print(numpy.ravel(data.data)[0:10]) else: print(data.y[0].shape) print(numpy.ravel(data.y[0])[0:10]) data = obj.getDataObject('1.1',selection=None) r = int(key.split('.')[-1]) print(" data[%d,0:10] = " % (r-1),data.data[r-1 ,0:10]) print(" data[0:10,%d] = " % (r-1),data.data[0:10, r-1]) PyMca5-5.2.2/PyMca5/PyMcaData/0000755000276300001750000000000013205526235015627 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaData/McaTheory.cfg0000644000276300001750000000464613136054446020220 0ustar solebliss00000000000000 [attenuators] kapton = 0, -, 0.0, 0.0 atmosphere = 0, -, 0.0, 0.0 Matrix = 0, MULTILAYER, 0.0, 0.0, 45.0, 45.0 deadlayer = 0, Si1, 2.33, 0.002 absorber = 0, -, 0.0, 0.0 window = 0, -, 0.0, 0.0 contact = 0, Au1, 19.37, 1e-06 Detector = 0, Si1, 2.33, 0.5 Filter 6 = 0, -, 0.0, 0.0 Filter 7 = 0, -, 0.0, 0.0 [peaks] [fit] deltachi = 0.001 continuum = 0 hypermetflag = 1 stripconstant = 1.0 exppolorder = 6 energy = None stripwidth = 1 stripfilterwidth = 1 sumflag = 0 stripflag = 0 linearfitflag = 0 use_limit = 0 linpolorder = 5 xmax = 1130 maxiter = 10 xmin = 83 stripiterations = 20000 escapeflag = 1 [concentrations] distance = 10.0 area = 30.0 flux = 10000000000.0 time = 1.0 useattenuators = 1 usematrix = 0 [detector] noise = 0.1 fixednoise = 0 fixedgain = 0 deltafano = 0.114 fixedfano = 0 sum = 1e-8 deltasum = 1e-8 fano = 0.114 fixedsum = 0 fixedzero = 0 zero = -0.0118 deltazero = 0.1 gain = 0.0174 deltagain = 0.001 deltanoise = 0.05 detele = Si ethreshold = 0.020 ithreshold = 1.0E-07 nthreshold = 4 [peakshape] lt_arearatio = 0.02 fixedlt_arearatio = 0 st_arearatio = 0.05 deltalt_arearatio = 0.015 deltalt_sloperatio = 7.0 deltastep_heightratio = 5e-05 st_sloperatio = 0.5 lt_sloperatio = 10.0 fixedlt_sloperatio = 0 deltast_arearatio = 0.03 fixedst_sloperatio = 0 fixedst_arearatio = 0 deltast_sloperatio = 0.49 step_heightratio = 0.0001 fixedstep_heightratio = 0 [materials] [materials.Kapton] Comment = Kapton 100 HN 25 micron density=1.42 g/cm3 Density = 1.42 Thickness = 0.0025 CompoundFraction = 0.628772, 0.066659, 0.304569 CompoundList = C1, N1, O1 [materials.Teflon] Comment = Teflon density=2.2 g/cm3 Density = 2.2 CompoundFraction = 0.240183, 0.759817 CompoundList = C1, F1 [materials.Gold] Comment = Gold CompoundFraction = 1.0 CompoundList = Au Density = 19.37 Thickness = 1e-06 [materials.Air] Comment = Dry Air (Near sea level) density=0.001204790 g/cm3 Thickness = 1.0 Density = 0.00120479 CompoundFraction = 0.000124, 0.755267, 0.231780, 0.012827, 3.20E-6 CompoundList = C1, N1, O1, Ar1, Kr1 [materials.Water] Comment = Water density=1.0 g/cm3 CompoundFraction = 1.0 CompoundList = H2O1 Density = 1.0 [materials.Viton] Comment = Viton Fluoroelastomer density=1.8 g/cm3 Density = 1.8 CompoundFraction = 0.009417, 0.280555, 0.710028 CompoundList = H1, C1, F1 [materials.Mylar] Comment = Mylar (Polyethylene Terephthalate) density=1.40 g/cm3 Density = 1.4 CompoundFraction = 0.041959, 0.625017, 0.333025 CompoundList = H1, C1, O1 PyMca5-5.2.2/PyMca5/PyMcaData/Scofield1973.dict0000644000276300001750000347110113136054446020562 0ustar solebliss00000000000000 [Ru] JL1 = 1.12282589206 JL3 = 3.4414753385 JL2 = 1.35763502084 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.83580000e+00 2.85850000e+00 2.96900000e+00 2.99280000e+00 3.00000000e+00 3.20090000e+00 3.22650000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 2.20660000e+01 2.22420000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 8.97240000e+04 4.61000000e+04 2.64840000e+04 1.25340000e+04 1.23110000e+04 1.12960000e+04 1.10920000e+04 1.10310000e+04 9.50020000e+03 9.32530000e+03 5.57950000e+03 3.18780000e+03 1.97930000e+03 9.02970000e+02 4.78740000e+02 1.43490000e+02 5.88120000e+01 4.30890000e+01 4.20100000e+01 1.60020000e+01 6.19450000e+00 2.93450000e+00 1.58550000e+00 5.96750000e-01 2.79360000e-01 7.10850000e-02 2.74400000e-02 7.55220000e-03 3.16930000e-03 1.67360000e-03 1.01810000e-03 4.89180000e-04 2.90040000e-04 1.23720000e-04] M = [ 8.71600000e+05 3.37400000e+05 1.66840000e+05 6.91530000e+04 6.77560000e+04 6.14800000e+04 6.02350000e+04 5.98630000e+04 5.06630000e+04 4.96310000e+04 2.83850000e+04 1.57580000e+04 9.68540000e+03 4.44830000e+03 2.41450000e+03 7.84010000e+02 3.49220000e+02 2.64410000e+02 2.58490000e+02 1.10160000e+02 4.81420000e+01 2.52090000e+01 1.48140000e+01 6.37160000e+00 3.30120000e+00 9.97800000e-01 4.29310000e-01 1.34230000e-01 6.09180000e-02 3.39890000e-02 2.15960000e-02 1.10760000e-02 6.88080000e-03 3.16640000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.92340000e+05 1.72830000e+05 2.60900000e+05 2.60760000e+05 2.21440000e+05 2.56840000e+05 1.50620000e+05 8.47300000e+04 5.25680000e+04 2.43240000e+04 1.32420000e+04 4.30450000e+03 1.91620000e+03 1.45030000e+03 1.41780000e+03 6.03630000e+02 2.63540000e+02 1.37880000e+02 8.09630000e+01 3.47800000e+01 1.80030000e+01 5.43280000e+00 2.33540000e+00 7.29670000e-01 3.30960000e-01 1.84620000e-01 1.17300000e-01 6.01720000e-02 3.73910000e-02 1.72150000e-02] M5 = [ 3.16490000e+05 9.80960000e+04 4.00840000e+04 1.26880000e+04 1.23490000e+04 1.08540000e+04 1.05620000e+04 1.04750000e+04 8.38520000e+03 8.15750000e+03 3.83780000e+03 1.71110000e+03 8.68350000e+02 2.88660000e+02 1.19960000e+02 2.31690000e+01 6.96600000e+00 4.59420000e+00 4.44110000e+00 1.23330000e+00 3.55120000e-01 1.34570000e-01 6.08660000e-02 1.74560000e-02 6.67960000e-03 1.20210000e-03 3.73940000e-04 7.96330000e-05 2.91790000e-05 1.42110000e-05 8.12210000e-06 3.73800000e-06 2.14370000e-06 9.14630000e-07] M4 = [ 2.17080000e+05 6.77730000e+04 2.78370000e+04 8.86970000e+03 8.63460000e+03 7.59470000e+03 7.39180000e+03 7.33150000e+03 5.87630000e+03 5.71770000e+03 2.70230000e+03 1.21100000e+03 6.17380000e+02 2.06860000e+02 8.65520000e+01 1.69570000e+01 5.16030000e+00 3.41880000e+00 3.30620000e+00 9.32230000e-01 2.72870000e-01 1.04850000e-01 4.79970000e-02 1.40390000e-02 5.45390000e-03 1.01310000e-03 3.18720000e-04 6.73650000e-05 2.38260000e-05 1.11690000e-05 6.25410000e-06 2.59630000e-06 1.43080000e-06 5.30730000e-07] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.13360000e+04 9.21540000e+04 7.68160000e+04 7.54420000e+04 4.31400000e+04 2.33970000e+04 1.39870000e+04 6.03500000e+03 3.08010000e+03 8.70430000e+02 3.44930000e+02 2.50160000e+02 2.43700000e+02 9.04040000e+01 3.42830000e+01 1.60260000e+01 8.57780000e+00 3.18890000e+00 1.48140000e+00 3.73010000e-01 1.43250000e-01 3.91160000e-02 1.63590000e-02 8.61950000e-03 5.23830000e-03 2.51150000e-03 1.49050000e-03 6.36450000e-04] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.92340000e+05 1.72830000e+05 1.69570000e+05 1.68610000e+05 1.44620000e+05 1.41750000e+05 7.88670000e+04 4.21460000e+04 2.49360000e+04 1.05580000e+04 5.31170000e+03 1.46030000e+03 5.66440000e+02 4.07690000e+02 3.96910000e+02 1.43570000e+02 5.30090000e+01 2.42230000e+01 1.27090000e+01 4.56680000e+00 2.06240000e+00 4.92010000e-01 1.82020000e-01 4.76000000e-02 1.95680000e-02 1.02830000e-02 6.28420000e-03 3.07920000e-03 1.86200000e-03 8.28570000e-04] M3 = [ 1.84010000e+05 9.08340000e+04 5.10600000e+04 2.35960000e+04 2.31640000e+04 2.12030000e+04 2.08100000e+04 2.06920000e+04 1.77450000e+04 1.74090000e+04 1.02790000e+04 5.79260000e+03 3.55680000e+03 1.59350000e+03 8.32660000e+02 2.42660000e+02 9.73240000e+01 7.07490000e+01 6.89310000e+01 2.55940000e+01 9.64200000e+00 4.46370000e+00 2.36360000e+00 8.59700000e-01 3.91240000e-01 9.43480000e-02 3.50500000e-02 9.21740000e-03 3.79770000e-03 1.99760000e-03 1.22190000e-03 5.99030000e-04 3.62520000e-04 1.61890000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.96460000e+04 2.86150000e+04 1.91870000e+04 1.36450000e+04 7.73130000e+03 4.85000000e+03 1.97380000e+03 1.00480000e+03 7.92450000e+02 7.77230000e+02 3.69650000e+02 1.76240000e+02 9.76270000e+01 5.96760000e+01 2.70240000e+01 1.44590000e+01 4.56780000e+00 2.01010000e+00 6.42950000e-01 2.95040000e-01 1.65720000e-01 1.05780000e-01 5.45820000e-02 3.40390000e-02 1.57500000e-02] JK = 6.36962946124 M1 = [ 6.42970000e+04 3.45950000e+04 2.13710000e+04 1.14650000e+04 1.12980000e+04 1.05330000e+04 1.03790000e+04 1.03320000e+04 9.15720000e+03 9.02120000e+03 5.98590000e+03 3.85590000e+03 2.66360000e+03 1.45630000e+03 8.96570000e+02 3.57740000e+02 1.80960000e+02 1.42550000e+02 1.39800000e+02 6.63970000e+01 3.16770000e+01 1.75710000e+01 1.07560000e+01 4.88370000e+00 2.61850000e+00 8.30150000e-01 3.66130000e-01 1.17320000e-01 5.38980000e-02 3.02920000e-02 1.93420000e-02 9.98120000e-03 6.22470000e-03 2.87940000e-03] all other = [ 8.67990000e+04 3.74750000e+04 1.99770000e+04 8.98460000e+03 8.81810000e+03 8.06540000e+03 7.91510000e+03 7.87020000e+03 6.74960000e+03 6.62270000e+03 3.94340000e+03 2.27430000e+03 1.43810000e+03 6.87130000e+02 3.82800000e+02 1.29200000e+02 5.88430000e+01 4.48520000e+01 4.38720000e+01 1.90270000e+01 8.43450000e+00 4.45670000e+00 2.63580000e+00 1.14330000e+00 5.95580000e-01 1.81390000e-01 7.83590000e-02 2.46090000e-02 1.11900000e-02 6.25110000e-03 3.97490000e-03 2.04060000e-03 1.26870000e-03 5.84570000e-04] total = [ 9.58390000e+05 3.74870000e+05 1.86810000e+05 7.81380000e+04 2.68910000e+05 2.42370000e+05 3.29050000e+05 3.28500000e+05 2.78850000e+05 3.13100000e+05 1.82950000e+05 1.02760000e+05 6.36920000e+04 2.94590000e+04 1.60390000e+04 5.21770000e+03 2.32420000e+03 1.75960000e+03 1.12080000e+04 5.15150000e+03 2.35220000e+03 1.26490000e+03 7.55670000e+02 3.31280000e+02 1.73300000e+02 5.29230000e+01 2.28520000e+01 7.16600000e+00 3.25750000e+00 1.82080000e+00 1.15920000e+00 5.96880000e-01 3.72160000e-01 1.72360000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.48820000e+03 4.41870000e+03 2.03210000e+03 1.09740000e+03 6.57260000e+02 2.88980000e+02 1.51400000e+02 4.63110000e+01 2.00090000e+01 6.27750000e+00 2.85440000e+00 1.59590000e+00 1.01630000e+00 5.23590000e-01 3.26620000e-01 1.51400000e-01] [Ru.binding] K = 22.0876 L1 = 3.2041 M5 = 0.29 M4 = 0.2945 M1 = 0.5742 L3 = 2.8386 M3 = 0.4593 M2 = 0.4822 L2 = 2.972 [Re] JL1 = 1.13221165895 JL3 = 2.54531519448 JL2 = 1.35618377501 energy = [ 1.00000000e+00 1.50000000e+00 1.89050000e+00 1.90570000e+00 1.95980000e+00 1.97550000e+00 2.00000000e+00 2.35810000e+00 2.37690000e+00 2.67530000e+00 2.69670000e+00 2.91020000e+00 2.93350000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.05270000e+01 1.06120000e+01 1.19820000e+01 1.20780000e+01 1.25000000e+01 1.26000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 7.18130000e+01 7.23880000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.95023764713 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.54390000e+05 5.69570000e+05 5.74010000e+05 5.67620000e+05 3.74100000e+05 3.66170000e+05 2.65850000e+05 2.60130000e+05 2.12670000e+05 2.08150000e+05 1.95960000e+05 8.57730000e+04 4.35210000e+04 2.44990000e+04 9.57490000e+03 4.49200000e+03 3.76090000e+03 3.65840000e+03 2.39250000e+03 2.32610000e+03 2.06000000e+03 2.00260000e+03 1.07250000e+03 3.72720000e+02 7.99470000e+01 2.60370000e+01 1.07690000e+01 5.20520000e+00 2.53610000e+00 2.45640000e+00 1.64570000e+00 6.74190000e-01 1.36030000e-01 4.51370000e-02 1.02760000e-02 3.86670000e-03 1.90570000e-03 1.10820000e-03 5.01010000e-04 2.87530000e-04 1.19330000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.02790000e+05 3.08650000e+05 2.64860000e+05 2.59360000e+05 1.89370000e+05 1.85350000e+05 1.51750000e+05 1.48520000e+05 1.39880000e+05 6.23090000e+04 3.19990000e+04 1.81930000e+04 7.22660000e+03 3.43540000e+03 2.88500000e+03 2.80770000e+03 1.85040000e+03 1.79990000e+03 1.59740000e+03 1.55370000e+03 8.41760000e+02 2.98630000e+02 6.61730000e+01 2.21120000e+01 9.34420000e+00 4.60040000e+00 2.28370000e+00 2.21370000e+00 1.49880000e+00 6.28610000e-01 1.31940000e-01 4.47270000e-02 1.03020000e-02 3.83610000e-03 1.85120000e-03 1.04940000e-03 4.59760000e-04 2.52410000e-04 9.71670000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.63910000e+04 2.61200000e+04 1.74160000e+04 1.24990000e+04 9.25780000e+03 5.62570000e+03 3.73870000e+03 3.39600000e+03 3.34530000e+03 2.65190000e+03 2.61150000e+03 2.44390000e+03 2.40650000e+03 1.70680000e+03 9.49620000e+02 3.99360000e+02 2.10020000e+02 1.25590000e+02 8.16850000e+01 5.30130000e+01 5.19960000e+01 4.07330000e+01 2.34350000e+01 8.39140000e+00 4.01010000e+00 1.42390000e+00 6.95850000e-01 4.06920000e-01 2.66640000e-01 1.41420000e-01 8.89710000e-02 4.08580000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.31600000e+05 1.09850000e+05 1.08520000e+05 9.56010000e+04 9.42870000e+04 9.06690000e+04 5.48290000e+04 3.54780000e+04 2.42730000e+04 1.28380000e+04 7.58820000e+03 6.69800000e+03 6.56850000e+03 4.86260000e+03 4.76650000e+03 4.37150000e+03 4.28420000e+03 2.73580000e+03 1.26620000e+03 4.03160000e+02 1.72440000e+02 8.75930000e+01 4.98460000e+01 2.83780000e+01 2.76730000e+01 2.01700000e+01 9.90660000e+00 2.70190000e+00 1.08230000e+00 3.08950000e-01 1.32560000e-01 7.11310000e-02 4.38710000e-02 2.14930000e-02 1.29000000e-02 5.59610000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.42420000e+04 4.00770000e+04 3.97600000e+04 3.87880000e+04 2.57560000e+04 1.78970000e+04 1.28640000e+04 7.25960000e+03 4.49580000e+03 4.00850000e+03 3.93740000e+03 2.98750000e+03 2.93290000e+03 2.70730000e+03 2.65730000e+03 1.75530000e+03 8.58330000e+02 2.95330000e+02 1.33660000e+02 7.10390000e+01 4.19910000e+01 2.48410000e+01 2.42660000e+01 1.80760000e+01 9.32930000e+00 2.78960000e+00 1.19190000e+00 3.69890000e-01 1.66730000e-01 9.22470000e-02 5.80250000e-02 2.91650000e-02 1.77460000e-02 7.84770000e-03] total = [ 1.19360000e+06 5.31060000e+05 3.24650000e+05 4.73470000e+05 8.69790000e+05 9.71840000e+05 1.16350000e+06 8.38450000e+05 9.53090000e+05 7.15080000e+05 7.45550000e+05 6.23820000e+05 6.38580000e+05 6.06770000e+05 3.04800000e+05 1.75710000e+05 1.11050000e+05 5.32510000e+04 2.98460000e+04 2.60950000e+04 6.64200000e+04 4.80370000e+04 6.51470000e+04 5.98510000e+04 6.77640000e+04 4.36020000e+04 2.04690000e+04 6.91380000e+03 3.15980000e+03 1.71080000e+03 1.03310000e+03 6.26980000e+02 3.10370000e+03 2.37980000e+03 1.32950000e+03 4.48010000e+02 2.05890000e+02 6.98970000e+01 3.33920000e+01 1.92910000e+01 1.25560000e+01 6.62150000e+00 4.16190000e+00 1.91490000e+00] JM2 = 1.04261061699 JM3 = 1.13672848709 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.49050000e+03 1.91570000e+03 1.08060000e+03 3.67760000e+02 1.69710000e+02 5.78340000e+01 2.76900000e+01 1.60250000e+01 1.04460000e+01 5.52120000e+00 3.47620000e+00 1.60330000e+00] JM1 = 1.02366067135 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.54390000e+05 5.69570000e+05 6.76800000e+05 8.76280000e+05 6.38970000e+05 7.57130000e+05 5.65080000e+05 5.98240000e+05 5.00100000e+05 5.17100000e+05 4.91410000e+05 2.46080000e+05 1.41390000e+05 8.90860000e+04 4.25250000e+04 2.37500000e+04 2.07480000e+04 2.03170000e+04 1.47450000e+04 1.44370000e+04 1.31800000e+04 1.29040000e+04 8.11220000e+03 3.74550000e+03 1.24400000e+03 5.64270000e+02 3.04330000e+02 1.83330000e+02 1.11050000e+02 1.08600000e+02 8.21240000e+01 4.39740000e+01 1.41510000e+01 6.37430000e+00 2.12330000e+00 1.00280000e+00 5.74060000e-01 3.70690000e-01 1.93040000e-01 1.20160000e-01 5.45180000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.08640000e+04 2.94570000e+04 4.69520000e+04 4.32320000e+04 5.14910000e+04 3.33470000e+04 1.57160000e+04 5.32850000e+03 2.43870000e+03 1.32120000e+03 7.98070000e+02 4.84440000e+02 4.73800000e+02 3.58610000e+02 1.92340000e+02 6.20170000e+01 2.79580000e+01 9.32140000e+00 4.40620000e+00 2.52430000e+00 1.63140000e+00 8.50690000e-01 5.30240000e-01 2.41060000e-01] JM4 = 1.11732717093 JM5 = 1.45840135531 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.81050000e+04 1.68630000e+04 1.64660000e+04 1.05650000e+04 4.83540000e+03 1.54450000e+03 6.66690000e+02 3.43330000e+02 1.98350000e+02 1.15000000e+02 1.12240000e+02 8.27560000e+01 4.18490000e+01 1.21490000e+01 5.10890000e+00 1.55950000e+00 6.97190000e-01 3.83910000e-01 2.40780000e-01 1.20510000e-01 7.31540000e-02 3.22950000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.08640000e+04 2.94570000e+04 2.88470000e+04 2.63680000e+04 2.58210000e+04 1.59370000e+04 6.87260000e+03 2.02040000e+03 8.24970000e+02 4.06080000e+02 2.25930000e+02 1.26110000e+02 1.22880000e+02 8.86780000e+01 4.27050000e+01 1.13220000e+01 4.46820000e+00 1.25620000e+00 5.35040000e-01 2.85930000e-01 1.75910000e-01 8.61010000e-02 5.16430000e-02 2.24050000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.20300000e+03 6.84430000e+03 4.00840000e+03 1.76360000e+03 9.47040000e+02 5.71790000e+02 3.73800000e+02 2.43330000e+02 2.38680000e+02 1.87180000e+02 1.07780000e+02 3.85460000e+01 1.83810000e+01 6.50580000e+00 3.17400000e+00 1.85450000e+00 1.21470000e+00 6.44080000e-01 4.05440000e-01 1.86360000e-01] all other = [ 1.19360000e+06 5.31060000e+05 3.24650000e+05 3.19080000e+05 3.00220000e+05 2.95040000e+05 2.87220000e+05 1.99480000e+05 1.95950000e+05 1.50010000e+05 1.47310000e+05 1.23730000e+05 1.21480000e+05 1.15360000e+05 5.87220000e+04 3.43200000e+04 2.19610000e+04 1.07260000e+04 6.09630000e+03 5.34680000e+03 5.23880000e+03 3.83600000e+03 3.75800000e+03 3.43910000e+03 3.36900000e+03 2.14300000e+03 1.00670000e+03 3.41340000e+02 1.56780000e+02 8.53030000e+01 5.17060000e+01 3.14940000e+01 3.08070000e+01 2.33610000e+01 1.25800000e+01 4.08290000e+00 1.84750000e+00 6.18580000e-01 2.92940000e-01 1.67960000e-01 1.08570000e-01 5.65940000e-02 3.52580000e-02 1.60090000e-02] [Re.binding] K = 71.885 L1 = 12.5126 M5 = 1.8924 M4 = 1.9618 M1 = 2.9131 L3 = 10.5379 M3 = 2.3604 M2 = 2.678 L2 = 11.9938 [Ra] JL1 = 1.13319729412 JL3 = 2.38071930198 JL2 = 1.38053669576 energy = [ 1.00000000e+00 1.04800000e+00 1.05640000e+00 1.19010000e+00 1.19970000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.10760000e+00 3.13250000e+00 3.25530000e+00 3.28130000e+00 3.76960000e+00 3.79980000e+00 4.00000000e+00 4.47850000e+00 4.51430000e+00 4.79530000e+00 4.83370000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.54400000e+01 1.55630000e+01 1.85430000e+01 1.86920000e+01 1.92320000e+01 1.93860000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.04340000e+02 1.05170000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.347430256 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.80110000e+05 3.04380000e+05 2.98280000e+05 2.09810000e+05 2.05240000e+05 1.77650000e+05 1.28290000e+05 1.25360000e+05 1.05750000e+05 1.03420000e+05 9.39330000e+04 5.45650000e+04 2.24430000e+04 1.09290000e+04 2.78710000e+03 2.52150000e+03 2.45250000e+03 1.32580000e+03 1.28880000e+03 1.16450000e+03 1.13190000e+03 1.01270000e+03 2.30810000e+02 7.83800000e+01 3.34410000e+01 1.65600000e+01 5.42590000e+00 2.28020000e+00 1.93420000e+00 1.87530000e+00 4.79120000e-01 1.62430000e-01 3.78160000e-02 1.43600000e-02 7.14740000e-03 4.16060000e-03 1.88990000e-03 1.07800000e-03 4.41040000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.39650000e+05 1.52350000e+05 1.49240000e+05 1.30130000e+05 9.49000000e+04 9.27740000e+04 7.79810000e+04 7.63120000e+04 6.96190000e+04 4.10400000e+04 1.72530000e+04 8.54640000e+03 2.25230000e+03 2.04300000e+03 1.98860000e+03 1.09150000e+03 1.06180000e+03 9.61920000e+02 9.35630000e+02 8.39370000e+02 1.98940000e+02 6.96370000e+01 3.04650000e+01 1.54110000e+01 5.22720000e+00 2.25680000e+00 1.92410000e+00 1.86730000e+00 4.96490000e-01 1.72840000e-01 4.10750000e-02 1.55640000e-02 7.66970000e-03 4.39320000e-03 1.92520000e-03 1.08040000e-03 4.17660000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.46980000e+04 1.40270000e+04 1.09620000e+04 7.09970000e+03 4.92040000e+03 2.39660000e+03 2.27110000e+03 2.23760000e+03 1.60530000e+03 1.58070000e+03 1.49580000e+03 1.47290000e+03 1.38640000e+03 6.12420000e+02 3.32910000e+02 2.04180000e+02 1.35600000e+02 6.98650000e+01 4.12250000e+01 3.72470000e+01 3.65420000e+01 1.54500000e+01 7.62150000e+00 2.82510000e+00 1.41970000e+00 8.46040000e-01 5.61600000e-01 3.02230000e-01 1.91410000e-01 8.79310000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.08550000e+04 7.48960000e+04 6.30440000e+04 6.22000000e+04 5.57870000e+04 5.49580000e+04 5.15380000e+04 3.66760000e+04 2.05330000e+04 1.26400000e+04 4.88830000e+03 4.55520000e+03 4.46700000e+03 2.88010000e+03 2.82230000e+03 2.62430000e+03 2.57120000e+03 2.37270000e+03 8.04530000e+02 3.59080000e+02 1.88300000e+02 1.09870000e+02 4.61650000e+01 2.33020000e+01 2.04450000e+01 1.99480000e+01 6.64670000e+00 2.73570000e+00 8.04800000e-01 3.50280000e-01 1.89380000e-01 1.17070000e-01 5.73130000e-02 3.42200000e-02 1.46420000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.32910000e+04 2.19220000e+04 2.17480000e+04 2.10780000e+04 1.64570000e+04 1.04900000e+04 7.02140000e+03 3.09160000e+03 2.90570000e+03 2.85600000e+03 1.93770000e+03 1.90310000e+03 1.78390000e+03 1.75170000e+03 1.63070000e+03 6.18610000e+02 2.98610000e+02 1.66440000e+02 1.02140000e+02 4.65030000e+01 2.50030000e+01 2.22040000e+01 2.17140000e+01 8.00480000e+00 3.57090000e+00 1.16810000e+00 5.43220000e-01 3.07070000e-01 1.96040000e-01 1.00240000e-01 6.17360000e-02 2.77610000e-02] total = [ 2.32270000e+06 2.13310000e+06 2.13270000e+06 1.70530000e+06 1.71400000e+06 1.10260000e+06 6.03790000e+05 2.46120000e+05 2.27140000e+05 6.03150000e+05 5.08660000e+05 7.38520000e+05 5.07670000e+05 5.78170000e+05 5.09370000e+05 3.83300000e+05 3.98860000e+05 3.43940000e+05 3.52080000e+05 3.24860000e+05 2.07790000e+05 1.01540000e+05 5.76390000e+04 2.02610000e+04 1.87960000e+04 4.47480000e+04 2.78370000e+04 3.84300000e+04 3.57740000e+04 4.05390000e+04 3.74090000e+04 1.31590000e+04 6.15690000e+03 3.39170000e+03 2.07560000e+03 9.51260000e+02 5.17930000e+02 4.61330000e+02 2.00560000e+03 8.05350000e+02 3.80530000e+02 1.34080000e+02 6.56160000e+01 3.85490000e+01 2.53850000e+01 1.35640000e+01 8.57330000e+00 3.94410000e+00] JM2 = 1.04059483433 JM3 = 1.13886973822 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1554.2 633.76 301.67 107.07 52.624 31.015 20.476 10.983 6.9594 3.2116] JM1 = 1.02366691865 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.80110000e+05 3.04380000e+05 5.37930000e+05 3.62160000e+05 4.35330000e+05 3.82680000e+05 2.86240000e+05 3.03620000e+05 2.61440000e+05 2.71140000e+05 2.50200000e+05 1.59700000e+05 7.78180000e+04 4.40570000e+04 1.54160000e+04 1.42970000e+04 1.40020000e+04 8.84040000e+03 8.65680000e+03 8.03050000e+03 7.86330000e+03 7.24190000e+03 2.46530000e+03 1.13860000e+03 6.22830000e+02 3.79580000e+02 1.73190000e+02 9.40670000e+01 8.37540000e+01 8.19470000e+01 3.10770000e+01 1.42630000e+01 4.87690000e+00 2.34310000e+00 1.35730000e+00 8.83270000e-01 4.63600000e-01 2.89520000e-01 1.31190000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.63380000e+04 1.61930000e+04 2.70270000e+04 2.51930000e+04 3.01770000e+04 2.78620000e+04 9.89740000e+03 4.64730000e+03 2.56470000e+03 1.57110000e+03 7.20680000e+02 3.92550000e+02 3.49670000e+02 3.42150000e+02 1.30090000e+02 5.97960000e+01 2.04820000e+01 9.85560000e+00 5.71720000e+00 3.72540000e+00 1.95970000e+00 1.22600000e+00 5.56690000e-01] JM4 = 1.45189320961 JM5 = 2.65541075988 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.11740000e+04 1.05040000e+04 1.03190000e+04 9.45290000e+03 3.32520000e+03 1.52330000e+03 8.18370000e+02 4.88500000e+02 2.14040000e+02 1.12130000e+02 9.91310000e+01 9.68630000e+01 3.45560000e+01 1.50970000e+01 4.83070000e+00 2.22160000e+00 1.24800000e+00 7.93520000e-01 4.03950000e-01 2.48260000e-01 1.11210000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.63380000e+04 1.61930000e+04 1.58520000e+04 1.46880000e+04 1.43760000e+04 1.32070000e+04 4.08170000e+03 1.72090000e+03 8.68560000e+02 4.92900000e+02 1.99330000e+02 9.81090000e+01 8.57070000e+01 8.35570000e+01 2.69810000e+01 1.08890000e+01 3.13950000e+00 1.35320000e+00 7.27790000e-01 4.48480000e-01 2.18820000e-01 1.30700000e-01 5.59150000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.48220000e+03 5.20270000e+03 2.49050000e+03 1.40320000e+03 8.77780000e+02 5.89660000e+02 3.07310000e+02 1.82310000e+02 1.64840000e+02 1.61730000e+02 6.85550000e+01 3.38100000e+01 1.25120000e+01 6.28080000e+00 3.74140000e+00 2.48340000e+00 1.33690000e+00 8.47040000e-01 3.89570000e-01] all other = [ 2.32270000e+06 2.13310000e+06 2.13270000e+06 1.70530000e+06 1.71400000e+06 1.10260000e+06 6.03790000e+05 2.46120000e+05 2.27140000e+05 2.23040000e+05 2.04280000e+05 2.00580000e+05 1.45510000e+05 1.42840000e+05 1.26690000e+05 9.70560000e+04 9.52390000e+04 8.25040000e+04 8.09490000e+04 7.46600000e+04 4.80900000e+04 2.37200000e+04 1.35820000e+04 4.84550000e+03 4.49890000e+03 4.40760000e+03 2.80400000e+03 2.74660000e+03 2.55110000e+03 2.49890000e+03 2.30440000e+03 7.96160000e+02 3.70930000e+02 2.04150000e+02 1.24990000e+02 5.73910000e+01 3.13170000e+01 2.79050000e+01 2.73070000e+01 1.04170000e+01 4.79960000e+00 1.64790000e+00 7.93540000e-01 4.60220000e-01 2.99710000e-01 1.57450000e-01 9.83900000e-02 4.45820000e-02] [Ra.binding] K = 104.4397 L1 = 19.2513 M5 = 3.1107 M4 = 3.2585 M1 = 4.8001 L3 = 15.455 M3 = 3.7734 M2 = 4.483 L2 = 18.5617 [Rb] JL1 = 1.12108819735 JL3 = 3.91433773327 JL2 = 1.36345664368 energy = [ 1.00000000e+00 1.50000000e+00 1.80320000e+00 1.81760000e+00 1.86530000e+00 1.88020000e+00 2.00000000e+00 2.04610000e+00 2.06250000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.51440000e+01 1.52650000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 6.05110000e+04 2.76760000e+04 1.86580000e+04 1.83330000e+04 1.73120000e+04 1.70070000e+04 1.48000000e+04 1.40520000e+04 1.37990000e+04 5.61350000e+03 2.66800000e+03 1.45580000e+03 8.72300000e+02 3.77410000e+02 1.92420000e+02 5.38630000e+01 5.22330000e+01 5.09090000e+01 2.10920000e+01 5.40990000e+00 2.01480000e+00 9.27620000e-01 4.90130000e-01 1.78460000e-01 8.15850000e-02 2.00240000e-02 7.55520000e-03 2.01800000e-03 8.32880000e-04 4.34920000e-04 2.62770000e-04 1.25140000e-04 7.36400000e-05 3.11640000e-05] M = [ 4.23500000e+05 1.60420000e+05 1.01810000e+05 9.98020000e+04 9.35590000e+04 9.17110000e+04 7.85500000e+04 7.41740000e+04 7.26980000e+04 2.78470000e+04 1.30850000e+04 7.21450000e+03 4.41150000e+03 2.01180000e+03 1.08620000e+03 3.49050000e+02 3.39750000e+02 3.32180000e+02 1.54260000e+02 4.81000000e+01 2.08300000e+01 1.08220000e+01 6.31520000e+00 2.68460000e+00 1.37780000e+00 4.08850000e-01 1.73750000e-01 5.34640000e-02 2.40250000e-02 1.33240000e-02 8.43490000e-03 4.31290000e-03 2.67960000e-03 1.23860000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.22280000e+05 3.03640000e+05 4.52680000e+05 3.98300000e+05 3.76980000e+05 4.33930000e+05 1.70160000e+05 8.08110000e+04 4.46740000e+04 2.73170000e+04 1.24200000e+04 6.68500000e+03 2.13560000e+03 2.07840000e+03 2.03190000e+03 9.40410000e+02 2.91930000e+02 1.26050000e+02 6.53500000e+01 3.80780000e+01 1.61520000e+01 8.27680000e+00 2.45200000e+00 1.04060000e+00 3.19770000e-01 1.43590000e-01 7.96080000e-02 5.03940000e-02 2.57680000e-02 1.60100000e-02 7.40300000e-03] M5 = [ 1.17210000e+05 3.30240000e+04 1.79950000e+04 1.75200000e+04 1.60610000e+04 1.56350000e+04 1.26810000e+04 1.17320000e+04 1.14160000e+04 3.04730000e+03 1.05320000e+03 4.50060000e+02 2.21160000e+02 7.00540000e+01 2.80490000e+01 5.06900000e+00 4.86550000e+00 4.70200000e+00 1.46330000e+00 2.47420000e-01 6.91430000e-02 2.55950000e-02 1.13020000e-02 3.15360000e-03 1.18610000e-03 2.09160000e-04 6.40730000e-05 1.34070000e-05 4.83700000e-06 2.31940000e-06 1.34980000e-06 6.07210000e-07 3.59940000e-07 1.53530000e-07] M4 = [ 8.02640000e+04 2.27300000e+04 1.24160000e+04 1.20900000e+04 1.10860000e+04 1.07940000e+04 8.76200000e+03 8.10910000e+03 7.89160000e+03 2.11860000e+03 7.35800000e+02 3.15740000e+02 1.55720000e+02 4.96420000e+01 1.99910000e+01 3.65870000e+00 3.51290000e+00 3.39570000e+00 1.06720000e+00 1.83550000e-01 5.20280000e-02 1.94910000e-02 8.75310000e-03 2.49000000e-03 9.49030000e-04 1.70720000e-04 5.27020000e-05 1.08700000e-05 3.80570000e-06 1.77600000e-06 9.72340000e-07 4.12840000e-07 2.18750000e-07 8.08860000e-08] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.53310000e+05 1.36050000e+05 1.29330000e+05 1.26910000e+05 4.72260000e+04 2.11460000e+04 1.10600000e+04 6.41910000e+03 2.65500000e+03 1.31330000e+03 3.51560000e+02 3.40610000e+02 3.31730000e+02 1.34330000e+02 3.35340000e+01 1.23010000e+01 5.60940000e+00 2.94440000e+00 1.06320000e+00 4.83580000e-01 1.17570000e-01 4.41720000e-02 1.17440000e-02 4.83470000e-03 2.52100000e-03 1.52540000e-03 7.25740000e-04 4.27740000e-04 1.80670000e-04] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.22280000e+05 3.03640000e+05 2.99370000e+05 2.62250000e+05 2.47650000e+05 2.42600000e+05 8.83860000e+04 3.90280000e+04 2.02120000e+04 1.16370000e+04 4.74870000e+03 2.32370000e+03 6.08690000e+02 5.89410000e+02 5.73780000e+02 2.28620000e+02 5.55170000e+01 1.99100000e+01 8.90380000e+00 4.59360000e+00 1.61010000e+00 7.14340000e-01 1.65590000e-01 6.02200000e-02 1.54500000e-02 6.29300000e-03 3.29290000e-03 2.00410000e-03 9.81490000e-04 5.94280000e-04 2.68070000e-04] M3 = [ 1.19510000e+05 5.34970000e+04 3.57540000e+04 3.51180000e+04 3.31210000e+04 3.25250000e+04 2.82270000e+04 2.67740000e+04 2.62810000e+04 1.05180000e+04 4.93720000e+03 2.66760000e+03 1.58530000e+03 6.76720000e+02 3.41240000e+02 9.34440000e+01 9.05660000e+01 8.82300000e+01 3.59570000e+01 8.96710000e+00 3.26410000e+00 1.47370000e+00 7.65350000e-01 2.70600000e-01 1.20720000e-01 2.81520000e-02 1.02780000e-02 2.64670000e-03 1.07970000e-03 5.65600000e-04 3.45110000e-04 1.68910000e-04 1.02630000e-04 4.61420000e-05] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.44130000e+04 3.45510000e+04 2.06360000e+04 1.34030000e+04 9.26130000e+03 5.01620000e+03 3.04800000e+03 1.17540000e+03 1.14840000e+03 1.12640000e+03 5.77460000e+02 2.02880000e+02 9.38410000e+01 5.08370000e+01 3.05400000e+01 1.34780000e+01 7.07890000e+00 2.16880000e+00 9.36250000e-01 2.92570000e-01 1.32470000e-01 7.37940000e-02 4.68640000e-02 2.40610000e-02 1.49880000e-02 6.95420000e-03] JK = 6.82389297768 M1 = [ 4.60020000e+04 2.34900000e+04 1.69830000e+04 1.67410000e+04 1.59790000e+04 1.57500000e+04 1.40800000e+04 1.35060000e+04 1.33100000e+04 6.54960000e+03 3.69070000e+03 2.32530000e+03 1.57700000e+03 8.37940000e+02 5.04520000e+02 1.93010000e+02 1.88570000e+02 1.84950000e+02 9.46750000e+01 3.32920000e+01 1.54300000e+01 8.37520000e+00 5.03960000e+00 2.22990000e+00 1.17340000e+00 3.60290000e-01 1.55800000e-01 4.87750000e-02 2.21040000e-02 1.23190000e-02 7.82470000e-03 4.01780000e-03 2.50270000e-03 1.16110000e-03] all other = [ 2.61010000e+04 1.18190000e+04 8.03960000e+03 7.90400000e+03 7.47790000e+03 7.35080000e+03 6.43090000e+03 6.11890000e+03 6.01310000e+03 2.57620000e+03 1.29890000e+03 7.49890000e+02 4.73790000e+02 2.25880000e+02 1.25560000e+02 4.21730000e+01 4.10870000e+01 4.02020000e+01 1.91260000e+01 6.13400000e+00 2.69860000e+00 1.41630000e+00 8.32490000e-01 3.57240000e-01 1.84420000e-01 5.52100000e-02 2.35610000e-02 7.28070000e-03 3.27850000e-03 1.82040000e-03 1.15340000e-03 5.90520000e-04 3.67220000e-04 1.70140000e-04] total = [ 4.49600000e+05 1.72240000e+05 1.09850000e+05 4.29990000e+05 4.04670000e+05 5.51750000e+05 4.83280000e+05 4.57270000e+05 5.12640000e+05 2.00590000e+05 9.51940000e+04 5.26390000e+04 3.22030000e+04 1.46580000e+04 7.89680000e+03 2.52680000e+03 2.45930000e+03 1.67820000e+04 8.35710000e+03 2.76940000e+03 1.23430000e+03 6.51660000e+02 3.84040000e+02 1.65020000e+02 8.51190000e+01 2.53960000e+01 1.08050000e+01 3.32680000e+00 1.49580000e+00 8.30280000e-01 5.26260000e-01 2.69800000e-01 1.68030000e-01 7.80300000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.43780000e+04 7.24330000e+03 2.42330000e+03 1.08480000e+03 5.74070000e+02 3.38820000e+02 1.45820000e+02 7.52800000e+01 2.24800000e+01 9.56750000e+00 2.94630000e+00 1.32490000e+00 7.35530000e-01 4.66270000e-01 2.39130000e-01 1.48980000e-01 6.92190000e-02] [Rb.binding] K = 15.1593 L1 = 2.0481 M5 = 0.1175 M4 = 0.1192 M1 = 0.3133 L3 = 1.805 M3 = 0.2373 M2 = 0.2467 L2 = 1.8671 [Rn] JL1 = 1.13301816115 JL3 = 2.40096300051 JL2 = 1.37484709227 energy = [ 1.00000000e+00 1.07290000e+00 1.08150000e+00 1.50000000e+00 2.00000000e+00 2.88590000e+00 2.90900000e+00 3.00000000e+00 3.01840000e+00 3.04260000e+00 3.51420000e+00 3.54230000e+00 4.00000000e+00 4.14430000e+00 4.17750000e+00 4.44740000e+00 4.48300000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.46040000e+01 1.47210000e+01 1.50000000e+01 1.73800000e+01 1.75190000e+01 1.80390000e+01 1.81840000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 9.87570000e+01 9.95470000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.44474404713 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.30970000e+05 3.47430000e+05 3.41140000e+05 3.34010000e+05 2.30420000e+05 2.25370000e+05 1.59690000e+05 1.44220000e+05 1.40950000e+05 1.18380000e+05 1.15800000e+05 8.43580000e+04 4.89820000e+04 1.99430000e+04 9.66030000e+03 2.67880000e+03 2.60550000e+03 2.44040000e+03 1.45480000e+03 1.41420000e+03 1.27450000e+03 1.23880000e+03 8.81250000e+02 1.99090000e+02 6.71950000e+01 2.85410000e+01 1.40830000e+01 4.59010000e+00 2.01780000e+00 1.95600000e+00 1.92170000e+00 4.01380000e-01 1.35590000e-01 3.14490000e-02 1.19900000e-02 5.93100000e-03 3.45210000e-03 1.56260000e-03 8.98010000e-04 3.64470000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.32150000e+05 1.66800000e+05 1.63330000e+05 1.17080000e+05 1.05980000e+05 1.03620000e+05 8.67690000e+04 8.49080000e+04 6.27580000e+04 3.67950000e+04 1.53090000e+04 7.53550000e+03 2.15120000e+03 2.09380000e+03 1.96410000e+03 1.18530000e+03 1.15300000e+03 1.04170000e+03 1.01320000e+03 7.26690000e+02 1.70530000e+02 5.92900000e+01 2.58060000e+01 1.30020000e+01 4.38370000e+00 1.97570000e+00 1.91710000e+00 1.88450000e+00 4.11670000e-01 1.42690000e-01 3.37350000e-02 1.28350000e-02 6.26700000e-03 3.58390000e-03 1.56720000e-03 8.76620000e-04 3.39080000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.62580000e+04 1.39210000e+04 1.07350000e+04 6.93050000e+03 4.77480000e+03 2.41450000e+03 2.37880000e+03 2.29690000e+03 1.73540000e+03 1.70880000e+03 1.61470000e+03 1.59000000e+03 1.32010000e+03 5.78260000e+02 3.12760000e+02 1.91120000e+02 1.26510000e+02 6.48650000e+01 3.92940000e+01 3.85490000e+01 3.81300000e+01 1.41920000e+01 6.96690000e+00 2.56520000e+00 1.28330000e+00 7.62460000e-01 5.05040000e-01 2.71130000e-01 1.71530000e-01 7.87760000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.51430000e+04 7.28610000e+04 6.89100000e+04 6.79980000e+04 6.08090000e+04 5.99140000e+04 4.87320000e+04 3.47760000e+04 1.92700000e+04 1.17980000e+04 4.82410000e+03 4.73060000e+03 4.51650000e+03 3.12270000e+03 3.06010000e+03 2.84030000e+03 2.78290000e+03 2.17580000e+03 7.31080000e+02 3.24260000e+02 1.69260000e+02 9.84050000e+01 4.11170000e+01 2.14870000e+01 2.09630000e+01 2.06710000e+01 5.85700000e+00 2.40090000e+00 7.03100000e-01 3.05620000e-01 1.64930000e-01 1.01930000e-01 4.99160000e-02 2.98140000e-02 1.27930000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.53530000e+04 2.41350000e+04 2.39600000e+04 2.11710000e+04 1.60640000e+04 1.00630000e+04 6.64890000e+03 3.04640000e+03 2.99380000e+03 2.87290000e+03 2.06870000e+03 2.03160000e+03 1.90040000e+03 1.86590000e+03 1.49650000e+03 5.58960000e+02 2.67060000e+02 1.47750000e+02 9.01250000e+01 4.06750000e+01 2.25110000e+01 2.20100000e+01 2.17300000e+01 6.88260000e+00 3.04950000e+00 9.89240000e-01 4.58080000e-01 2.57940000e-01 1.64290000e-01 8.37520000e-02 5.14870000e-02 2.30950000e-02] total = [ 2.14300000e+06 1.88330000e+06 1.89460000e+06 9.97720000e+05 5.45010000e+05 2.41920000e+05 7.68550000e+05 5.68940000e+05 5.59580000e+05 8.80660000e+05 5.51160000e+05 6.24980000e+05 4.63390000e+05 4.23760000e+05 4.40610000e+05 3.78640000e+05 3.87720000e+05 2.97870000e+05 1.90400000e+05 9.27050000e+04 5.25290000e+04 1.97300000e+04 4.73710000e+04 4.51130000e+04 3.02470000e+04 4.15850000e+04 3.87090000e+04 4.38580000e+04 3.43260000e+04 1.20040000e+04 5.59800000e+03 3.07510000e+03 1.87770000e+03 8.57750000e+02 4.82120000e+02 2.14290000e+03 2.12500000e+03 7.41180000e+02 3.49120000e+02 1.22240000e+02 5.95890000e+01 3.49090000e+01 2.29430000e+01 1.22320000e+01 7.72390000e+00 3.55290000e+00] JM2 = 1.03976307344 JM3 = 1.13393569925 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1671.2 1659.1 587.51 278.72 98.232 48.069 28.243 18.606 9.9551 6.3009 2.9072] JM1 = 1.02398056201 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.30970000e+05 3.47430000e+05 3.41140000e+05 6.66160000e+05 3.97210000e+05 4.73850000e+05 3.49630000e+05 3.19110000e+05 3.37920000e+05 2.90090000e+05 3.00840000e+05 2.30940000e+05 1.47350000e+05 7.15160000e+04 4.04170000e+04 1.51150000e+04 1.48030000e+04 1.40910000e+04 9.56690000e+03 9.36790000e+03 8.67160000e+03 8.49080000e+03 6.60040000e+03 2.23790000e+03 1.03060000e+03 5.62470000e+02 3.42130000e+02 1.55630000e+02 8.72860000e+01 8.53950000e+01 8.43370000e+01 2.77450000e+01 1.26960000e+01 4.32270000e+00 2.07190000e+00 1.19750000e+00 7.78290000e-01 4.07920000e-01 2.54610000e-01 1.15370000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.80470000e+04 2.67150000e+04 1.77360000e+04 2.93330000e+04 2.73640000e+04 3.27490000e+04 2.56820000e+04 9.06270000e+03 4.24060000e+03 2.33310000e+03 1.42590000e+03 6.51880000e+02 3.66530000e+02 3.58620000e+02 3.54200000e+02 1.16860000e+02 5.35470000e+01 1.82620000e+01 8.76520000e+00 5.07310000e+00 3.30130000e+00 1.73390000e+00 1.08400000e+00 4.92190000e-01] JM4 = 1.57378748347 JM5 = 3.17687665344 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.19710000e+04 1.13070000e+04 1.10830000e+04 8.59290000e+03 2.98620000e+03 1.35720000e+03 7.23930000e+02 4.29730000e+02 1.86780000e+02 1.00950000e+02 9.86190000e+01 9.73190000e+01 2.97100000e+01 1.29010000e+01 4.09730000e+00 1.87740000e+00 1.05060000e+00 6.66600000e-01 3.38370000e-01 2.07590000e-01 9.27720000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.80470000e+04 2.67150000e+04 1.77360000e+04 1.73630000e+04 1.60570000e+04 1.57170000e+04 1.20970000e+04 3.69530000e+03 1.55210000e+03 7.80700000e+02 4.41740000e+02 1.77860000e+02 9.08310000e+01 8.85440000e+01 8.72690000e+01 2.38710000e+01 9.60150000e+00 2.75780000e+00 1.18780000e+00 6.37710000e-01 3.92890000e-01 1.91780000e-01 1.14640000e-01 4.91430000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.95010000e+03 4.99250000e+03 2.38130000e+03 1.33130000e+03 8.28510000e+02 5.54430000e+02 2.87240000e+02 1.74760000e+02 1.71460000e+02 1.69610000e+02 6.32820000e+01 3.10440000e+01 1.14070000e+01 5.70010000e+00 3.38480000e+00 2.24180000e+00 1.20370000e+00 7.61820000e-01 3.50280000e-01] all other = [ 2.14300000e+06 1.88330000e+06 1.89460000e+06 9.97720000e+05 5.45010000e+05 2.41920000e+05 2.37590000e+05 2.21510000e+05 2.18440000e+05 2.14510000e+05 1.53950000e+05 1.51130000e+05 1.13760000e+05 1.04650000e+05 1.02690000e+05 8.85460000e+04 8.68830000e+04 6.69300000e+04 4.30500000e+04 2.11890000e+04 1.21120000e+04 4.61470000e+03 4.52100000e+03 4.30740000e+03 2.94410000e+03 2.88380000e+03 2.67290000e+03 2.61810000e+03 2.04350000e+03 7.03380000e+02 3.26850000e+02 1.79500000e+02 1.09700000e+02 5.02410000e+01 2.83020000e+01 2.76930000e+01 2.73530000e+01 9.05970000e+00 4.16170000e+00 1.42270000e+00 6.83500000e-01 3.95580000e-01 2.57300000e-01 1.34970000e-01 8.42960000e-02 3.81940000e-02] [Rn.binding] K = 98.8554 L1 = 18.0575 M5 = 2.8888 M4 = 3.0214 M1 = 4.4518 L3 = 14.6183 M3 = 3.5177 M2 = 4.1485 L2 = 17.3974 [Rh] JL1 = 1.12321551263 JL3 = 3.37396580991 JL2 = 1.35458307652 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.00140000e+00 3.02540000e+00 3.14850000e+00 3.17370000e+00 3.38800000e+00 3.41520000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 2.31690000e+01 2.33550000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 9.33870000e+04 4.88070000e+04 2.83200000e+04 1.19440000e+04 1.19310000e+04 1.17180000e+04 1.07020000e+04 1.05080000e+04 9.03710000e+03 8.87060000e+03 6.09150000e+03 3.50130000e+03 2.18500000e+03 1.00420000e+03 5.35300000e+02 1.61930000e+02 6.67870000e+01 4.20120000e+01 4.09610000e+01 1.83220000e+01 7.13090000e+00 3.39130000e+00 1.83790000e+00 6.94910000e-01 3.26410000e-01 8.35050000e-02 3.23410000e-02 8.93750000e-03 3.75910000e-03 1.98660000e-03 1.21040000e-03 5.82760000e-04 3.45480000e-04 1.47610000e-04] M = [ 9.51890000e+05 3.70130000e+05 1.83360000e+05 6.59120000e+04 6.58340000e+04 6.45010000e+04 5.82210000e+04 5.70390000e+04 4.81880000e+04 4.72040000e+04 3.12910000e+04 1.73890000e+04 1.06970000e+04 4.91920000e+03 2.67240000e+03 8.69040000e+02 3.87530000e+02 2.55610000e+02 2.49890000e+02 1.22440000e+02 5.35750000e+01 2.80820000e+01 1.65170000e+01 7.11480000e+00 3.69090000e+00 1.11820000e+00 4.81960000e-01 1.51030000e-01 6.86330000e-02 3.83240000e-02 2.43650000e-02 1.25010000e-02 7.76660000e-03 3.57160000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.79110000e+05 1.60900000e+05 2.42770000e+05 2.07070000e+05 2.40460000e+05 1.63360000e+05 9.18740000e+04 5.71020000e+04 2.65060000e+04 1.44540000e+04 4.71040000e+03 2.09990000e+03 1.38460000e+03 1.35360000e+03 6.62820000e+02 2.89820000e+02 1.51800000e+02 8.92300000e+01 3.83950000e+01 1.99010000e+01 6.02030000e+00 2.59240000e+00 8.11830000e-01 3.68750000e-01 2.05860000e-01 1.30880000e-01 6.71650000e-02 4.17390000e-02 1.92050000e-02] M5 = [ 3.55370000e+05 1.11440000e+05 4.59280000e+04 1.21290000e+04 1.21100000e+04 1.17870000e+04 1.02900000e+04 1.00130000e+04 7.99780000e+03 7.78040000e+03 4.47590000e+03 2.00720000e+03 1.02340000e+03 3.42490000e+02 1.43010000e+02 2.78570000e+01 8.42500000e+00 4.52750000e+00 4.37690000e+00 1.50210000e+00 4.34270000e-01 1.65040000e-01 7.48230000e-02 2.15370000e-02 8.26270000e-03 1.49500000e-03 4.66420000e-04 9.98020000e-05 3.64420000e-05 1.75760000e-05 1.01410000e-05 4.69760000e-06 2.64630000e-06 1.11120000e-06] M4 = [ 2.43820000e+05 7.70380000e+04 3.19190000e+04 8.49710000e+03 8.48400000e+03 8.25880000e+03 7.21600000e+03 7.02310000e+03 5.61740000e+03 5.46570000e+03 3.15530000e+03 1.42240000e+03 7.28640000e+02 2.45840000e+02 1.03370000e+02 2.04310000e+01 6.25550000e+00 3.38530000e+00 3.27400000e+00 1.13850000e+00 3.34700000e-01 1.29010000e-01 5.92070000e-02 1.73880000e-02 6.77420000e-03 1.26290000e-03 3.98150000e-04 8.43690000e-05 2.99590000e-05 1.40850000e-05 7.84540000e-06 3.26850000e-06 1.82060000e-06 7.15000000e-07] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.49440000e+04 7.19770000e+04 7.06830000e+04 4.72570000e+04 2.56940000e+04 1.53860000e+04 6.68900000e+03 3.42860000e+03 9.76140000e+02 3.88680000e+02 2.40740000e+02 2.34540000e+02 1.02560000e+02 3.90690000e+01 1.83250000e+01 9.83460000e+00 3.67090000e+00 1.71030000e+00 4.32740000e-01 1.66700000e-01 4.56900000e-02 1.91510000e-02 1.01010000e-02 6.14760000e-03 2.95180000e-03 1.75310000e-03 7.48940000e-04] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.79110000e+05 1.60900000e+05 1.57830000e+05 1.35090000e+05 1.32420000e+05 8.63300000e+04 4.62670000e+04 2.74120000e+04 1.16730000e+04 5.89340000e+03 1.63030000e+03 6.35080000e+02 3.88670000e+02 3.78400000e+02 1.61890000e+02 6.00040000e+01 2.74980000e+01 1.44600000e+01 5.21360000e+00 2.36020000e+00 5.65250000e-01 2.09610000e-01 5.49610000e-02 2.26230000e-02 1.18930000e-02 7.27180000e-03 3.56300000e-03 2.15400000e-03 9.58130000e-04] M3 = [ 1.92810000e+05 9.66120000e+04 5.47230000e+04 2.24200000e+04 2.23960000e+04 2.19850000e+04 2.00270000e+04 1.96540000e+04 1.68260000e+04 1.65080000e+04 1.12200000e+04 6.35770000e+03 3.92090000e+03 1.76850000e+03 9.28610000e+02 2.72850000e+02 1.10050000e+02 6.83880000e+01 6.66330000e+01 2.91530000e+01 1.10350000e+01 5.12570000e+00 2.72130000e+00 9.93660000e-01 4.53450000e-01 1.09830000e-01 4.09720000e-02 1.07870000e-02 4.45080000e-03 2.34320000e-03 1.43450000e-03 7.02530000e-04 4.25580000e-04 1.89680000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.73620000e+04 2.97700000e+04 1.99130000e+04 1.43040000e+04 8.14370000e+03 5.13200000e+03 2.10400000e+03 1.07620000e+03 7.55200000e+02 7.40700000e+02 3.98380000e+02 1.90740000e+02 1.05980000e+02 6.49350000e+01 2.95110000e+01 1.58300000e+01 5.02230000e+00 2.21610000e+00 7.11180000e-01 3.26970000e-01 1.83870000e-01 1.17460000e-01 6.06500000e-02 3.78320000e-02 1.74980000e-02] JK = 6.31247773952 M1 = [ 6.64980000e+04 3.62300000e+04 2.24700000e+04 1.09220000e+04 1.09130000e+04 1.07530000e+04 9.98670000e+03 9.83970000e+03 8.70920000e+03 8.57960000e+03 6.34870000e+03 4.10050000e+03 2.83880000e+03 1.55820000e+03 9.62130000e+02 3.85970000e+02 1.96010000e+02 1.37300000e+02 1.34650000e+02 7.23270000e+01 3.46410000e+01 1.92710000e+01 1.18240000e+01 5.38730000e+00 2.89600000e+00 9.22110000e-01 4.07790000e-01 1.31120000e-01 6.03570000e-02 3.39620000e-02 2.17020000e-02 1.12080000e-02 6.99100000e-03 3.23250000e-03] all other = [ 1.01010000e+05 4.32760000e+04 2.29530000e+04 8.99190000e+03 8.98210000e+03 8.81370000e+03 8.01560000e+03 7.86450000e+03 6.72400000e+03 6.59620000e+03 4.49340000e+03 2.58490000e+03 1.63250000e+03 7.79140000e+02 4.33890000e+02 1.46400000e+02 6.66930000e+01 4.44130000e+01 4.34410000e+01 2.15840000e+01 9.57730000e+00 5.06470000e+00 2.99770000e+00 1.30220000e+00 6.79150000e-01 2.07320000e-01 8.97130000e-02 2.82380000e-02 1.28580000e-02 7.18860000e-03 4.57380000e-03 2.34900000e-03 1.46040000e-03 6.72450000e-04] total = [ 1.05290000e+06 4.13410000e+05 2.06310000e+05 7.49040000e+04 7.48170000e+04 2.52430000e+05 2.27140000e+05 3.07680000e+05 2.61980000e+05 2.94260000e+05 1.99140000e+05 1.11850000e+05 6.94310000e+04 3.22040000e+04 1.75600000e+04 5.72580000e+03 2.55410000e+03 1.68460000e+03 1.06340000e+04 5.56640000e+03 2.54960000e+03 1.37530000e+03 8.23550000e+02 3.61990000e+02 1.89770000e+02 5.81350000e+01 2.51550000e+01 7.90840000e+00 3.60050000e+00 2.01450000e+00 1.28340000e+00 6.61260000e-01 4.12380000e-01 1.90920000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.98710000e+03 4.75950000e+03 2.19670000e+03 1.19030000e+03 7.14800000e+02 3.15180000e+02 1.65500000e+02 5.07890000e+01 2.19910000e+01 6.91730000e+00 3.15030000e+00 1.76310000e+00 1.12360000e+00 5.79240000e-01 3.61410000e-01 1.67470000e-01] [Rh.binding] K = 23.1922 L1 = 3.3914 M5 = 0.3179 M4 = 0.323 M1 = 0.6161 L3 = 3.0044 M3 = 0.4946 M2 = 0.5203 L2 = 3.1516 [Be] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] L = [ 3.18420000e+02 9.61080000e+01 4.02290000e+01 1.14780000e+01 4.62360000e+00 2.26450000e+00 1.25770000e+00 4.92890000e-01 2.36880000e-01 6.18580000e-02 2.36860000e-02 6.07510000e-03 2.30460000e-03 1.08520000e-03 5.86390000e-04 2.22240000e-04 1.04980000e-04 2.71870000e-05 1.06100000e-05 2.95000000e-06 1.25210000e-06 6.71900000e-07 4.17510000e-07 2.10720000e-07 1.31490000e-07 6.30900000e-08] L1 = [ 3.18420000e+02 9.61080000e+01 4.02290000e+01 1.14780000e+01 4.62360000e+00 2.26450000e+00 1.25770000e+00 4.92890000e-01 2.36880000e-01 6.18580000e-02 2.36860000e-02 6.07510000e-03 2.30460000e-03 1.08520000e-03 5.86390000e-04 2.22240000e-04 1.04980000e-04 2.71870000e-05 1.06100000e-05 2.95000000e-06 1.25210000e-06 6.71900000e-07 4.17510000e-07 2.10720000e-07 1.31490000e-07 6.30900000e-08] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 9.03140000e+03 2.68100000e+03 1.11080000e+03 3.12740000e+02 1.25210000e+02 6.10680000e+01 3.38070000e+01 1.31990000e+01 6.32890000e+00 1.64720000e+00 6.29610000e-01 1.61150000e-01 6.10570000e-02 2.87240000e-02 1.55470000e-02 5.89150000e-03 2.78270000e-03 7.20980000e-04 2.81530000e-04 7.83310000e-05 3.32810000e-05 1.78610000e-05 1.10950000e-05 5.59010000e-06 3.47620000e-06 1.64510000e-06] K = [ 8.71300000e+03 2.58490000e+03 1.07060000e+03 3.01260000e+02 1.20580000e+02 5.88030000e+01 3.25500000e+01 1.27070000e+01 6.09200000e+00 1.58540000e+00 6.05920000e-01 1.55080000e-01 5.87520000e-02 2.76390000e-02 1.49600000e-02 5.66930000e-03 2.67770000e-03 6.93800000e-04 2.70920000e-04 7.53810000e-05 3.20290000e-05 1.71890000e-05 1.06780000e-05 5.37940000e-06 3.34470000e-06 1.58200000e-06] [Be.binding] K = 0.1184 L1 = 0.0082 [Ba] JL1 = 1.13194293577 JL3 = 2.84826287149 JL2 = 1.33527497002 energy = [ 1.00000000e+00 1.05590000e+00 1.06430000e+00 1.13130000e+00 1.14030000e+00 1.27240000e+00 1.28260000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 5.23790000e+00 5.27990000e+00 5.62480000e+00 5.66990000e+00 5.95540000e+00 6.00000000e+00 6.00310000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 3.74150000e+01 3.77140000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.77969018933 M5 = [ 9.43490000e+05 8.31290000e+05 8.15780000e+05 7.04630000e+05 6.91060000e+05 5.30610000e+05 5.20180000e+05 3.43980000e+05 1.53300000e+05 4.48590000e+04 1.77590000e+04 8.39120000e+03 7.15500000e+03 6.96150000e+03 5.59370000e+03 5.44070000e+03 4.58300000e+03 4.46490000e+03 4.45670000e+03 1.59870000e+03 7.02480000e+02 1.49130000e+02 4.77620000e+01 9.18600000e+00 3.67760000e+00 3.55740000e+00 2.78290000e+00 1.09190000e+00 5.06970000e-01 1.51170000e-01 5.94840000e-02 1.12740000e-02 3.60670000e-03 7.89280000e-04 2.90880000e-04 1.41540000e-04 8.17240000e-05 3.78120000e-05 2.16310000e-05 9.27920000e-06] M4 = [ 6.44530000e+05 5.69120000e+05 5.58680000e+05 4.83730000e+05 4.74560000e+05 3.65350000e+05 3.58280000e+05 2.38620000e+05 1.07210000e+05 3.17530000e+04 1.26800000e+04 6.03500000e+03 5.15350000e+03 5.01540000e+03 4.03870000e+03 3.92940000e+03 3.31560000e+03 3.23100000e+03 3.22510000e+03 1.16910000e+03 5.18270000e+02 1.12050000e+02 3.64280000e+01 7.17880000e+00 2.91770000e+00 2.82390000e+00 2.21850000e+00 8.85270000e-01 4.17090000e-01 1.27380000e-01 5.10540000e-02 9.96810000e-03 3.23290000e-03 7.05830000e-04 2.56180000e-04 1.21740000e-04 6.82250000e-05 2.89440000e-05 1.58570000e-05 6.12910000e-06] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.20800000e+04 5.16960000e+04 3.39950000e+04 1.77790000e+04 1.07460000e+04 7.13790000e+03 6.54100000e+03 6.44360000e+03 5.71760000e+03 5.63160000e+03 5.12600000e+03 5.05290000e+03 5.04790000e+03 2.87250000e+03 1.82450000e+03 7.71870000e+02 4.07300000e+02 1.58810000e+02 9.31870000e+01 9.13870000e+01 7.90920000e+01 4.53270000e+01 2.84790000e+01 1.34540000e+01 7.42920000e+00 2.47590000e+00 1.12760000e+00 3.76290000e-01 1.77020000e-01 1.00930000e-01 6.50530000e-02 3.38900000e-02 2.11940000e-02 9.76460000e-03] M3 = [ 0.00000000e+00 0.00000000e+00 2.46370000e+05 2.32700000e+05 2.31070000e+05 2.01580000e+05 1.99270000e+05 1.57490000e+05 9.86820000e+04 4.52340000e+04 2.43180000e+04 1.45380000e+04 1.30160000e+04 1.27700000e+04 1.09620000e+04 1.07510000e+04 9.53010000e+03 9.35640000e+03 9.34440000e+03 4.50580000e+03 2.48560000e+03 7.95360000e+02 3.39410000e+02 9.68890000e+01 4.78280000e+01 4.66120000e+01 3.85220000e+01 1.85420000e+01 1.01180000e+01 3.84660000e+00 1.80650000e+00 4.58250000e-01 1.75730000e-01 4.77850000e-02 2.00010000e-02 1.06080000e-02 6.50800000e-03 3.19270000e-03 1.93030000e-03 8.51710000e-04] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.84530000e+04 8.98620000e+04 8.90960000e+04 7.29550000e+04 4.83640000e+04 2.34390000e+04 1.30560000e+04 7.99910000e+03 7.19530000e+03 7.06480000e+03 6.10370000e+03 5.99150000e+03 5.34040000e+03 5.24730000e+03 5.24080000e+03 2.60170000e+03 1.46820000e+03 4.89830000e+02 2.15640000e+02 6.45140000e+01 3.27340000e+01 3.19340000e+01 2.65930000e+01 1.31890000e+01 7.38470000e+00 2.93130000e+00 1.42620000e+00 3.86740000e-01 1.55380000e-01 4.47250000e-02 1.92880000e-02 1.03860000e-02 6.40350000e-03 3.12950000e-03 1.87160000e-03 8.09950000e-04] total = [ 1.94610000e+06 1.72350000e+06 1.93900000e+06 1.70380000e+06 1.77350000e+06 1.41130000e+06 1.44920000e+06 1.02420000e+06 5.27020000e+05 1.96810000e+05 9.55050000e+04 5.38910000e+04 4.77800000e+04 1.36090000e+05 1.16740000e+05 1.55880000e+05 1.38090000e+05 1.56310000e+05 1.56080000e+05 7.52180000e+04 4.17450000e+04 1.40220000e+04 6.36830000e+03 2.05730000e+03 1.10390000e+03 6.38020000e+03 5.46330000e+03 3.03740000e+03 1.85410000e+03 8.40540000e+02 4.50250000e+02 1.42820000e+02 6.31740000e+01 2.04240000e+01 9.45940000e+00 5.35190000e+00 3.43460000e+00 1.78320000e+00 1.11450000e+00 5.14380000e-01] JM2 = 1.04090855734 JM3 = 1.12503626342 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.30100000e+03 4.54960000e+03 2.55290000e+03 1.56640000e+03 7.14650000e+02 3.84100000e+02 1.22300000e+02 5.41760000e+01 1.75370000e+01 8.12820000e+00 4.60170000e+00 2.95480000e+00 1.53570000e+00 9.60650000e-01 4.43980000e-01] JM1 = 1.026854673 M = [ 1.58800000e+06 1.40040000e+06 1.62080000e+06 1.42110000e+06 1.49510000e+06 1.18740000e+06 1.22890000e+06 8.64750000e+05 4.41540000e+05 1.63060000e+05 7.85590000e+04 4.41010000e+04 3.90610000e+04 3.82550000e+04 3.24160000e+04 3.17440000e+04 2.78950000e+04 2.73530000e+04 2.73150000e+04 1.27480000e+04 6.99900000e+03 2.31820000e+03 1.04660000e+03 3.36570000e+02 1.80340000e+02 1.76310000e+02 1.49210000e+02 7.90360000e+01 4.69050000e+01 2.05100000e+01 1.07720000e+01 3.34210000e+00 1.46560000e+00 4.70290000e-01 2.16850000e-01 1.22190000e-01 7.81150000e-02 4.02790000e-02 2.50330000e-02 1.14420000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.92900000e+04 7.70270000e+04 1.16990000e+05 1.03880000e+05 1.22760000e+05 1.22580000e+05 5.95000000e+04 3.30850000e+04 1.11380000e+04 5.06170000e+03 1.63550000e+03 8.77460000e+02 8.57880000e+02 7.26260000e+02 3.85040000e+02 2.28640000e+02 1.00030000e+02 5.25420000e+01 1.62970000e+01 7.14410000e+00 2.29140000e+00 1.05650000e+00 5.95470000e-01 3.80770000e-01 1.96460000e-01 1.22160000e-01 5.58960000e-02] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.16290000e+04 3.74890000e+04 3.67220000e+04 3.66700000e+04 1.73060000e+04 9.24760000e+03 2.85730000e+03 1.19950000e+03 3.39740000e+02 1.68170000e+02 1.63930000e+02 1.35690000e+02 6.59350000e+01 3.63870000e+01 1.41690000e+01 6.80960000e+00 1.81450000e+00 7.22370000e-01 2.06050000e-01 8.84870000e-02 4.74260000e-02 2.91780000e-02 1.42310000e-02 8.50100000e-03 3.67960000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.92900000e+04 7.70270000e+04 7.53610000e+04 6.63890000e+04 6.51480000e+04 6.50620000e+04 2.93990000e+04 1.54070000e+04 4.54750000e+03 1.85220000e+03 5.00630000e+02 2.41180000e+02 2.34850000e+02 1.92970000e+02 9.10390000e+01 4.89820000e+01 1.82780000e+01 8.48280000e+00 2.11580000e+00 8.04170000e-01 2.16690000e-01 9.04420000e-02 4.78660000e-02 2.93390000e-02 1.43790000e-02 8.68200000e-03 3.82990000e-03] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.08870000e+04 2.08460000e+04 1.27950000e+04 8.43030000e+03 3.73330000e+03 2.01010000e+03 7.95100000e+02 4.68110000e+02 4.59100000e+02 3.97600000e+02 2.28060000e+02 1.43270000e+02 6.75800000e+01 3.72500000e+01 1.23670000e+01 5.61760000e+00 1.86870000e+00 8.77600000e-01 5.00170000e-01 3.22250000e-01 1.67850000e-01 1.04980000e-01 4.83870000e-02] all other = [ 3.58090000e+05 3.23110000e+05 3.18210000e+05 2.82780000e+05 2.78410000e+05 2.23860000e+05 2.20270000e+05 1.59410000e+05 8.54790000e+04 3.37430000e+04 1.69460000e+04 9.78970000e+03 8.71910000e+03 8.54710000e+03 7.29360000e+03 7.14880000e+03 6.31600000e+03 6.19810000e+03 6.19000000e+03 2.96980000e+03 1.66050000e+03 5.66010000e+02 2.60000000e+02 8.52480000e+01 4.60780000e+01 4.50610000e+01 3.82150000e+01 2.03920000e+01 1.21680000e+01 5.35970000e+00 2.82810000e+00 8.83100000e-01 3.88680000e-01 1.25200000e-01 5.78490000e-02 3.26380000e-02 2.08820000e-02 1.07780000e-02 6.70170000e-03 3.06630000e-03] [Ba.binding] K = 37.4522 L1 = 5.9614 M5 = 0.7903 M4 = 0.8066 M1 = 1.2737 L3 = 5.2432 M3 = 1.0569 M2 = 1.1324 L2 = 5.6305 [Bi] JL1 = 1.13253565441 JL3 = 2.4387254902 JL2 = 1.36896179329 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.58300000e+00 2.60370000e+00 2.69520000e+00 2.71670000e+00 3.00000000e+00 3.16360000e+00 3.18890000e+00 3.68980000e+00 3.71930000e+00 3.97300000e+00 4.00000000e+00 4.00480000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.34110000e+01 1.35190000e+01 1.50000000e+01 1.57530000e+01 1.58790000e+01 1.63700000e+01 1.65020000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 9.08090000e+01 9.15360000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.58934108527 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.72290000e+05 3.98110000e+05 3.90320000e+05 3.04110000e+05 2.63220000e+05 2.57480000e+05 1.70810000e+05 1.66980000e+05 1.39270000e+05 1.36710000e+05 1.36270000e+05 7.14060000e+04 4.10940000e+04 1.65730000e+04 7.96420000e+03 2.93160000e+03 2.85140000e+03 1.98270000e+03 1.66790000e+03 1.62150000e+03 1.45510000e+03 1.41450000e+03 7.08650000e+02 1.57960000e+02 5.28220000e+01 2.22800000e+01 1.09340000e+01 3.53510000e+00 2.14840000e+00 2.08210000e+00 1.47160000e+00 3.04540000e-01 1.02330000e-01 2.36000000e-02 8.97630000e-03 4.43600000e-03 2.58140000e-03 1.16670000e-03 6.74390000e-04 2.71470000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.50030000e+05 2.17160000e+05 1.89390000e+05 1.85420000e+05 1.24320000e+05 1.21590000e+05 1.01060000e+05 9.94070000e+04 9.90840000e+04 5.28450000e+04 3.08320000e+04 1.26570000e+04 6.17640000e+03 2.32370000e+03 2.26150000e+03 1.58470000e+03 1.33850000e+03 1.30210000e+03 1.17130000e+03 1.13920000e+03 5.79800000e+02 1.34040000e+02 4.61230000e+01 1.99190000e+01 9.97470000e+00 3.33240000e+00 2.05500000e+00 1.99340000e+00 1.42320000e+00 3.07590000e-01 1.05910000e-01 2.48450000e-02 9.41060000e-03 4.58030000e-03 2.61330000e-03 1.13960000e-03 6.34450000e-04 2.46360000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.88100000e+04 1.87230000e+04 1.37690000e+04 1.04620000e+04 6.61990000e+03 4.51380000e+03 2.64560000e+03 2.60650000e+03 2.14090000e+03 1.94800000e+03 1.91820000e+03 1.80830000e+03 1.78060000e+03 1.21830000e+03 5.27780000e+02 2.83270000e+02 1.72080000e+02 1.13380000e+02 5.77000000e+01 4.25870000e+01 4.17760000e+01 3.37230000e+01 1.24220000e+01 6.05360000e+00 2.20670000e+00 1.09680000e+00 6.48730000e-01 4.28390000e-01 2.29160000e-01 1.44730000e-01 6.64630000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.48180000e+04 7.83930000e+04 7.73660000e+04 6.88520000e+04 6.80010000e+04 6.78510000e+04 4.52920000e+04 3.17630000e+04 1.74130000e+04 1.05640000e+04 5.25900000e+03 5.15720000e+03 3.98220000e+03 3.52090000e+03 3.45070000e+03 3.19370000e+03 3.12940000e+03 1.89930000e+03 6.29100000e+02 2.76380000e+02 1.43240000e+02 8.28090000e+01 3.43080000e+01 2.31540000e+01 2.25860000e+01 1.71420000e+01 4.80810000e+00 1.95870000e+00 5.69650000e-01 2.46810000e-01 1.32990000e-01 8.21460000e-02 4.02480000e-02 2.40570000e-02 1.03620000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.90220000e+04 2.78010000e+04 2.76350000e+04 2.76050000e+04 2.04520000e+04 1.55500000e+04 9.39480000e+03 6.08070000e+03 3.27190000e+03 3.21480000e+03 2.54920000e+03 2.28190000e+03 2.24070000e+03 2.08920000e+03 2.05100000e+03 1.30460000e+03 4.76160000e+02 2.24120000e+02 1.22620000e+02 7.41520000e+01 3.30320000e+01 2.30290000e+01 2.25110000e+01 1.74790000e+01 5.44900000e+00 2.39010000e+00 7.65790000e-01 3.52030000e-01 1.97260000e-01 1.25210000e-01 6.35440000e-02 3.90050000e-02 1.74080000e-02] total = [ 1.88370000e+06 8.52140000e+05 4.63610000e+05 2.63490000e+05 6.31090000e+05 6.37510000e+05 8.75480000e+05 7.08900000e+05 6.18700000e+05 7.00790000e+05 4.89680000e+05 5.08960000e+05 4.34600000e+05 4.46620000e+05 4.45320000e+05 2.60130000e+05 1.65880000e+05 8.04080000e+04 4.54210000e+04 2.12160000e+04 5.17400000e+04 3.90470000e+04 3.42610000e+04 4.69020000e+04 4.35430000e+04 4.93140000e+04 3.02130000e+04 1.04200000e+04 4.83140000e+03 2.64240000e+03 1.60820000e+03 7.31160000e+02 5.16000000e+02 2.36810000e+03 1.88150000e+03 6.52310000e+02 3.05070000e+02 1.05870000e+02 5.13160000e+01 2.99430000e+01 1.96240000e+01 1.04290000e+01 6.57660000e+00 3.02490000e+00] JM2 = 1.03937265153 JM3 = 1.1326814288 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1863.3 1485.8 522.63 245.92 85.826 41.738 24.416 16.035 8.549 5.4027 2.4921] JM1 = 1.0276576162 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.72290000e+05 3.98110000e+05 6.40350000e+05 5.21270000e+05 4.52600000e+05 5.37720000e+05 3.73530000e+05 3.94960000e+05 3.36990000e+05 3.50570000e+05 3.49530000e+05 2.03760000e+05 1.29700000e+05 6.26570000e+04 3.52990000e+04 1.64320000e+04 1.60920000e+04 1.22400000e+04 1.07570000e+04 1.05330000e+04 9.71760000e+03 9.51470000e+03 5.71070000e+03 1.92500000e+03 8.82720000e+02 4.80140000e+02 2.91250000e+02 1.31910000e+02 9.29740000e+01 9.09480000e+01 7.12390000e+01 2.32910000e+01 1.06110000e+01 3.59060000e+00 1.71400000e+00 9.88000000e-01 6.40940000e-01 3.35260000e-01 2.09100000e-01 9.47500000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.09620000e+04 2.32230000e+04 2.03460000e+04 3.32760000e+04 3.09680000e+04 3.70010000e+04 2.28070000e+04 7.91490000e+03 3.67990000e+03 2.01510000e+03 1.22720000e+03 5.58290000e+02 3.94070000e+02 3.85520000e+02 3.02210000e+02 9.90700000e+01 4.51880000e+01 1.53140000e+01 7.31940000e+00 4.22420000e+00 2.74340000e+00 1.43770000e+00 8.98100000e-01 4.07780000e-01] JM4 = 1.37328041913 JM5 = 2.39511935937 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.33550000e+04 1.25930000e+04 1.23180000e+04 7.53780000e+03 2.53280000e+03 1.13220000e+03 5.97780000e+02 3.52200000e+02 1.51330000e+02 1.04040000e+02 1.01610000e+02 7.81910000e+01 2.35390000e+01 1.01310000e+01 3.18200000e+00 1.44830000e+00 8.06920000e-01 5.10340000e-01 2.57960000e-01 1.57850000e-01 7.02900000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.09620000e+04 2.32230000e+04 2.03460000e+04 1.99220000e+04 1.83750000e+04 1.79880000e+04 1.04660000e+04 3.16920000e+03 1.32210000e+03 6.61090000e+02 3.72380000e+02 1.48910000e+02 9.91450000e+01 9.66360000e+01 7.27030000e+01 1.97240000e+01 7.89300000e+00 2.25410000e+00 9.68160000e-01 5.19190000e-01 3.19760000e-01 1.56170000e-01 9.34670000e-02 4.01900000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.69520000e+03 4.80330000e+03 2.21290000e+03 1.22560000e+03 7.56220000e+02 5.02630000e+02 2.58050000e+02 1.90890000e+02 1.87270000e+02 1.51310000e+02 5.58070000e+01 2.71640000e+01 9.87820000e+00 4.90290000e+00 2.89810000e+00 1.91330000e+00 1.02360000e+00 6.46780000e-01 2.97300000e-01] all other = [ 1.88370000e+06 8.52140000e+05 4.63610000e+05 2.63490000e+05 2.58800000e+05 2.39410000e+05 2.35130000e+05 1.87630000e+05 1.66090000e+05 1.63060000e+05 1.16160000e+05 1.14000000e+05 9.76100000e+04 9.60590000e+04 9.57870000e+04 5.63690000e+04 3.61830000e+04 1.77500000e+04 1.01230000e+04 4.78440000e+03 4.68720000e+03 3.58430000e+03 3.15720000e+03 3.09260000e+03 2.85740000e+03 2.79880000e+03 1.69470000e+03 5.80510000e+02 2.68800000e+02 1.47200000e+02 8.97710000e+01 4.09620000e+01 2.89540000e+01 2.83290000e+01 2.22310000e+01 7.32290000e+00 3.35030000e+00 1.13890000e+00 5.45060000e-01 3.14650000e-01 2.04320000e-01 1.06980000e-01 6.67650000e-02 3.02640000e-02] [Bi.binding] K = 90.8995 L1 = 16.3869 M5 = 2.5856 M4 = 2.6979 M1 = 3.977 L3 = 13.4246 M3 = 3.1667 M2 = 3.6935 L2 = 15.7685 [Bk] JL1 = 1.13200031551 JL3 = 2.29221159477 JL2 = 1.40335612181 energy = [ 1.00000000e+00 1.23530000e+00 1.24520000e+00 1.50000000e+00 1.55340000e+00 1.56580000e+00 1.73120000e+00 1.74510000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 4.12930000e+00 4.16230000e+00 4.36210000e+00 4.39700000e+00 4.96310000e+00 5.00000000e+00 5.00280000e+00 6.00000000e+00 6.14480000e+00 6.19400000e+00 6.53050000e+00 6.58280000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.94400000e+01 1.95960000e+01 2.00000000e+01 2.44830000e+01 2.46790000e+01 2.53230000e+01 2.55250000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.32370000e+02 1.33430000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 3.9245667686 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.21980000e+05 2.05840000e+05 2.01540000e+05 1.48040000e+05 1.45080000e+05 1.44860000e+05 8.56230000e+04 7.95750000e+04 7.78260000e+04 6.69170000e+04 6.53630000e+04 3.62740000e+04 1.80890000e+04 4.80630000e+03 1.98400000e+03 1.92990000e+03 1.79760000e+03 8.82330000e+02 8.57630000e+02 7.82490000e+02 7.60540000e+02 4.25390000e+02 1.48180000e+02 6.44380000e+01 3.23970000e+01 1.08500000e+01 4.63790000e+00 1.59890000e+00 1.55150000e+00 9.98310000e-01 3.44400000e-01 8.14980000e-02 3.11710000e-02 1.54590000e-02 9.00070000e-03 4.10950000e-03 2.34690000e-03 9.53070000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.40580000e+05 1.09380000e+05 1.07380000e+05 1.07230000e+05 6.51340000e+04 6.07900000e+04 5.93990000e+04 5.08770000e+04 4.97790000e+04 2.81360000e+04 1.43360000e+04 3.95980000e+03 1.67650000e+03 1.63220000e+03 1.52380000e+03 7.64280000e+02 7.43560000e+02 6.80300000e+02 6.61770000e+02 3.76870000e+02 1.35800000e+02 6.07190000e+01 3.12510000e+01 1.08720000e+01 4.78600000e+00 1.71010000e+00 1.66100000e+00 1.08380000e+00 3.85300000e-01 9.37020000e-02 3.60020000e-02 1.77480000e-02 1.02220000e-02 4.57440000e-03 2.55180000e-03 9.97370000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.63470000e+03 7.45760000e+03 5.34570000e+03 2.77420000e+03 1.74820000e+03 1.72270000e+03 1.65880000e+03 1.13400000e+03 1.11670000e+03 1.06260000e+03 1.04640000e+03 7.62510000e+02 4.24950000e+02 2.65300000e+02 1.78720000e+02 9.41250000e+01 5.64860000e+01 2.93390000e+01 2.87930000e+01 2.18320000e+01 1.10110000e+01 4.21040000e+00 2.16090000e+00 1.30690000e+00 8.76550000e-01 4.77570000e-01 3.04130000e-01 1.39980000e-01] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.17500000e+04 6.14610000e+04 4.57140000e+04 4.38080000e+04 4.31690000e+04 3.90070000e+04 3.84010000e+04 2.63630000e+04 1.66450000e+04 6.73670000e+03 3.61530000e+03 3.54510000e+03 3.37130000e+03 2.02360000e+03 1.98260000e+03 1.85530000e+03 1.81740000e+03 1.19000000e+03 5.45490000e+02 2.91780000e+02 1.72970000e+02 7.44210000e+01 3.82260000e+01 1.63910000e+01 1.59990000e+01 1.12200000e+01 4.70120000e+00 1.41050000e+00 6.19650000e-01 3.36010000e-01 2.07940000e-01 1.01770000e-01 6.06120000e-02 2.56670000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.52700000e+04 1.44590000e+04 1.43260000e+04 1.14340000e+04 8.23860000e+03 4.02950000e+03 2.40230000e+03 2.36300000e+03 2.26510000e+03 1.46650000e+03 1.44110000e+03 1.36150000e+03 1.33770000e+03 9.27990000e+02 4.70240000e+02 2.71590000e+02 1.71300000e+02 8.12810000e+01 4.50350000e+01 2.12320000e+01 2.07810000e+01 1.51570000e+01 6.98020000e+00 2.37380000e+00 1.12980000e+00 6.47900000e-01 4.18020000e-01 2.16950000e-01 1.34620000e-01 6.11880000e-02] total = [ 3.21150000e+06 2.21190000e+06 2.31840000e+06 1.61570000e+06 1.50520000e+06 1.50000000e+06 1.22010000e+06 1.22200000e+06 9.17420000e+05 3.76210000e+05 1.94260000e+05 1.80360000e+05 3.99000000e+05 3.64430000e+05 4.97770000e+05 3.74320000e+05 4.29070000e+05 4.28260000e+05 2.70680000e+05 2.54230000e+05 2.64380000e+05 2.31710000e+05 2.36800000e+05 1.46490000e+05 8.38440000e+04 2.99480000e+04 1.53690000e+04 3.52290000e+04 3.31880000e+04 1.93080000e+04 2.70960000e+04 2.53560000e+04 2.87030000e+04 1.90530000e+04 9.11770000e+03 5.09830000e+03 3.15510000e+03 1.46990000e+03 8.10000000e+02 3.82590000e+02 1.50150000e+03 1.12310000e+03 5.42870000e+02 1.96990000e+02 9.83110000e+01 5.85530000e+01 3.89300000e+01 2.10410000e+01 1.33630000e+01 6.15540000e+00] JM2 = 1.03992447784 JM3 = 1.14626522761 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1127. 849.05 415.05 152.32 76.526 45.806 30.572 16.61 10.584 4.8917] JM1 = 1.02196711406 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.21980000e+05 2.05840000e+05 3.42120000e+05 2.57420000e+05 3.14210000e+05 3.13550000e+05 1.96470000e+05 1.84170000e+05 1.95670000e+05 1.71260000e+05 1.77500000e+05 1.09670000e+05 6.26540000e+04 2.23070000e+04 1.14260000e+04 1.11930000e+04 1.06170000e+04 6.27070000e+03 6.14150000e+03 5.74230000e+03 5.62380000e+03 3.68280000e+03 1.72470000e+03 9.53830000e+02 5.86630000e+02 2.71550000e+02 1.49170000e+02 7.02720000e+01 6.87860000e+01 5.02920000e+01 2.34220000e+01 8.17000000e+00 3.97740000e+00 2.32400000e+00 1.52170000e+00 8.04970000e-01 5.04270000e-01 2.28790000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.01730000e+04 1.89050000e+04 1.08600000e+04 1.88220000e+04 1.76170000e+04 2.11240000e+04 1.40840000e+04 6.78670000e+03 3.80750000e+03 2.36050000e+03 1.10150000e+03 6.07480000e+02 2.87080000e+02 2.81030000e+02 2.05660000e+02 9.59460000e+01 3.35440000e+01 1.63640000e+01 9.57940000e+00 6.28320000e+00 3.33270000e+00 2.09180000e+00 9.51570000e-01] JM4 = 1.36588645282 JM5 = 2.2122421823 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.19360000e+03 7.70820000e+03 7.60930000e+03 5.08720000e+03 2.45280000e+03 1.36430000e+03 8.35920000e+02 3.79850000e+02 2.04480000e+02 9.34060000e+01 9.13470000e+01 6.58660000e+01 2.96050000e+01 9.81010000e+00 4.60770000e+00 2.62230000e+00 1.68370000e+00 8.69410000e-01 5.38100000e-01 2.43750000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.01730000e+04 1.89050000e+04 1.08600000e+04 1.06280000e+04 9.90920000e+03 9.69500000e+03 6.11390000e+03 2.63240000e+03 1.35030000e+03 7.75990000e+02 3.19660000e+02 1.59540000e+02 6.63440000e+01 6.47090000e+01 4.48840000e+01 1.83800000e+01 5.38560000e+00 2.33880000e+00 1.26020000e+00 7.76940000e-01 3.78820000e-01 2.25230000e-01 9.55790000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.82010000e+03 2.88290000e+03 1.70150000e+03 1.09290000e+03 7.48560000e+02 4.02030000e+02 2.43460000e+02 1.27330000e+02 1.24970000e+02 9.49070000e+01 4.79610000e+01 1.83480000e+01 9.41700000e+00 5.69690000e+00 3.82250000e+00 2.08450000e+00 1.32850000e+00 6.12250000e-01] all other = [ 3.21150000e+06 2.21190000e+06 2.31840000e+06 1.61570000e+06 1.50520000e+06 1.50000000e+06 1.22010000e+06 1.22200000e+06 9.17420000e+05 3.76210000e+05 1.94260000e+05 1.80360000e+05 1.77020000e+05 1.58600000e+05 1.55650000e+05 1.16900000e+05 1.14860000e+05 1.14710000e+05 7.42120000e+04 7.00570000e+04 6.87190000e+04 6.04540000e+04 5.92950000e+04 3.68210000e+04 2.11900000e+04 7.64110000e+03 3.94300000e+03 3.86320000e+03 3.66660000e+03 2.17780000e+03 2.13340000e+03 1.99610000e+03 1.95530000e+03 1.28580000e+03 6.06310000e+02 3.36920000e+02 2.07960000e+02 9.67600000e+01 5.33520000e+01 2.52360000e+01 2.47050000e+01 1.80940000e+01 8.45660000e+00 2.96070000e+00 1.44410000e+00 8.44590000e-01 5.53580000e-01 2.93010000e-01 1.83600000e-01 8.33050000e-02] [Bk.binding] K = 132.506 L1 = 25.3479 M5 = 4.1334 M4 = 4.3664 M1 = 6.537 L3 = 19.4596 M3 = 4.968 M2 = 6.151 L2 = 24.5079 [Br] JL1 = 1.10986739179 JL3 = 4.31988164708 JL2 = 1.40705216234 energy = [ 1.00000000e+00 1.50000000e+00 1.55200000e+00 1.56440000e+00 1.60060000e+00 1.61340000e+00 1.76750000e+00 1.78170000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.34220000e+01 1.35300000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 5.19110000e+04 2.29430000e+04 2.13090000e+04 2.09410000e+04 1.99170000e+04 1.95700000e+04 1.59550000e+04 1.56690000e+04 1.20000000e+04 4.41900000e+03 2.06110000e+03 1.10980000e+03 6.58100000e+02 2.80240000e+02 1.41170000e+02 5.55010000e+01 5.40920000e+01 3.87040000e+01 1.49540000e+01 3.76920000e+00 1.38750000e+00 6.33340000e-01 3.32410000e-01 1.19850000e-01 5.45200000e-02 1.32120000e-02 4.95090000e-03 1.31150000e-03 5.38830000e-04 2.80620000e-04 1.69230000e-04 8.02860000e-05 4.72350000e-05 1.99540000e-05] M = [ 3.32000000e+05 1.25340000e+05 1.15270000e+05 1.13030000e+05 1.06830000e+05 1.04740000e+05 8.35050000e+04 8.18590000e+04 6.12440000e+04 2.16310000e+04 1.01420000e+04 5.58490000e+03 3.41160000e+03 1.55310000e+03 8.37270000e+02 3.67130000e+02 3.58970000e+02 2.68220000e+02 1.18270000e+02 3.67490000e+01 1.58660000e+01 8.22070000e+00 4.78650000e+00 2.02710000e+00 1.03720000e+00 3.06050000e-01 1.29570000e-01 3.96740000e-02 1.77770000e-02 9.84110000e-03 6.22340000e-03 3.17960000e-03 1.97530000e-03 9.14250000e-04] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.06270000e+05 3.60500000e+05 5.55350000e+05 4.48550000e+05 5.09270000e+05 3.86440000e+05 1.39590000e+05 6.57500000e+04 3.61620000e+04 2.20310000e+04 9.97370000e+03 5.35150000e+03 2.33360000e+03 2.28140000e+03 1.70170000e+03 7.47050000e+02 2.30840000e+02 9.69550000e+01 5.13350000e+01 2.98370000e+01 1.26050000e+01 6.43890000e+00 1.89660000e+00 8.01790000e-01 2.45150000e-01 1.09770000e-01 6.07450000e-02 3.84120000e-02 1.96240000e-02 1.21930000e-02 5.64430000e-03] M5 = [ 8.15780000e+04 2.23030000e+04 1.99100000e+04 1.93860000e+04 1.79580000e+04 1.74840000e+04 1.28400000e+04 1.24950000e+04 8.38740000e+03 1.96030000e+03 6.66260000e+02 2.81340000e+02 1.36900000e+02 4.26780000e+01 1.68760000e+01 4.82920000e+00 4.66650000e+00 2.99130000e+00 8.54900000e-01 1.42600000e-01 3.92160000e-02 1.44060000e-02 6.35870000e-03 1.76420000e-03 6.59450000e-04 1.15050000e-04 3.50680000e-05 7.26440000e-06 2.62350000e-06 1.27520000e-06 7.26810000e-07 3.35730000e-07 1.91220000e-07 8.30490000e-08] M4 = [ 5.58300000e+04 1.53340000e+04 1.36950000e+04 1.33360000e+04 1.23570000e+04 1.20320000e+04 8.84610000e+03 8.60920000e+03 5.78780000e+03 1.36050000e+03 4.64500000e+02 1.96900000e+02 9.61380000e+01 3.01540000e+01 1.19900000e+01 3.46020000e+00 3.34440000e+00 2.15060000e+00 6.20520000e-01 1.05210000e-01 2.95110000e-02 1.09740000e-02 4.89880000e-03 1.38170000e-03 5.23710000e-04 9.34580000e-05 2.86870000e-05 5.88400000e-06 2.04790000e-06 9.45460000e-07 5.24700000e-07 2.16430000e-07 1.16050000e-07 4.45790000e-08] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.94490000e+05 1.53540000e+05 1.50560000e+05 1.11430000e+05 3.76030000e+04 1.65980000e+04 8.58870000e+03 4.94370000e+03 2.01990000e+03 9.89610000e+02 3.77410000e+02 3.67550000e+02 2.60620000e+02 9.85000000e+01 2.42240000e+01 8.79650000e+00 3.98140000e+00 2.07770000e+00 7.43760000e-01 3.36170000e-01 8.08800000e-02 3.01920000e-02 7.96530000e-03 3.26510000e-03 1.69700000e-03 1.02590000e-03 4.86430000e-04 2.86030000e-04 1.20820000e-04] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.06270000e+05 3.60500000e+05 3.60850000e+05 2.95010000e+05 2.88940000e+05 2.12490000e+05 7.05290000e+04 3.07630000e+04 1.57740000e+04 9.01170000e+03 3.63640000e+03 1.76390000e+03 6.63120000e+02 6.45540000e+02 4.55270000e+02 1.69320000e+02 4.05670000e+01 1.20590000e+01 6.40480000e+00 3.28750000e+00 1.14370000e+00 5.04670000e-01 1.15980000e-01 4.19590000e-02 1.07050000e-02 4.35030000e-03 2.27330000e-03 1.38120000e-03 6.77050000e-04 4.10850000e-04 1.84800000e-04] M3 = [ 1.01900000e+05 4.42220000e+04 4.10140000e+04 4.02940000e+04 3.82870000e+04 3.76070000e+04 3.05480000e+04 2.99910000e+04 2.28620000e+04 8.28800000e+03 3.82260000e+03 2.04000000e+03 1.20070000e+03 5.05050000e+02 2.51830000e+02 9.75750000e+01 9.50570000e+01 6.76440000e+01 2.57100000e+01 6.31060000e+00 2.27320000e+00 1.01850000e+00 5.25860000e-01 1.84370000e-01 8.16330000e-02 1.88850000e-02 6.85610000e-03 1.75510000e-03 7.14430000e-04 3.73480000e-04 2.27550000e-04 1.11570000e-04 6.76430000e-05 3.04410000e-05] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.97660000e+04 6.25170000e+04 3.14620000e+04 1.83890000e+04 1.17990000e+04 8.07550000e+03 4.31750000e+03 2.59800000e+03 1.29310000e+03 1.26830000e+03 9.85810000e+02 4.79230000e+02 1.66050000e+02 7.60990000e+01 4.09480000e+01 2.44720000e+01 1.07180000e+01 5.59810000e+00 1.69970000e+00 7.29630000e-01 2.26480000e-01 1.02150000e-01 5.67740000e-02 3.60040000e-02 1.84600000e-02 1.14960000e-02 5.33870000e-03] JK = 6.9946614012 M1 = [ 4.07820000e+04 2.05430000e+04 1.93410000e+04 1.90690000e+04 1.83100000e+04 1.80510000e+04 1.53160000e+04 1.50950000e+04 1.22070000e+04 5.60310000e+03 3.12780000e+03 1.95680000e+03 1.31980000e+03 6.94990000e+02 4.15400000e+02 2.05770000e+02 2.01810000e+02 1.56730000e+02 7.61300000e+01 2.64210000e+01 1.21360000e+01 6.54350000e+00 3.91700000e+00 1.71980000e+00 8.99900000e-01 2.73750000e-01 1.17690000e-01 3.65940000e-02 1.65190000e-02 9.18480000e-03 5.82540000e-03 2.98710000e-03 1.86020000e-03 8.63730000e-04] all other = [ 1.53690000e+04 6.87560000e+03 6.40420000e+03 6.29830000e+03 6.00380000e+03 5.90410000e+03 4.86650000e+03 4.78410000e+03 3.72340000e+03 1.48770000e+03 7.50940000e+02 4.34520000e+02 2.75910000e+02 1.32570000e+02 7.42200000e+01 3.40820000e+01 3.33620000e+01 2.52830000e+01 1.15540000e+01 3.74300000e+00 1.65510000e+00 8.71030000e-01 5.12760000e-01 2.20310000e-01 1.13750000e-01 3.40120000e-02 1.44920000e-02 4.46600000e-03 2.00740000e-03 1.11330000e-03 7.04950000e-04 3.60780000e-04 2.24440000e-04 1.04180000e-04] total = [ 3.47370000e+05 1.32220000e+05 1.21670000e+05 5.25600000e+05 4.73330000e+05 6.66000000e+05 5.36920000e+05 5.95910000e+05 4.51410000e+05 1.62710000e+05 7.66430000e+04 4.21810000e+04 2.57180000e+04 1.16590000e+04 6.26300000e+03 2.73480000e+03 1.91290000e+04 1.46880000e+04 6.87210000e+03 2.25400000e+03 9.95700000e+02 5.24110000e+02 3.07610000e+02 1.31380000e+02 6.74890000e+01 1.99970000e+01 8.47150000e+00 2.59430000e+00 1.16280000e+00 6.44150000e-01 4.07770000e-01 2.08800000e-01 1.30010000e-01 6.04220000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.64560000e+04 1.26920000e+04 5.99520000e+03 1.98270000e+03 8.81230000e+02 4.63690000e+02 2.72470000e+02 1.16520000e+02 5.98990000e+01 1.77600000e+01 7.52570000e+00 2.30500000e+00 1.03320000e+00 5.72450000e-01 3.62430000e-01 1.85640000e-01 1.15620000e-01 5.37590000e-02] [Br.binding] K = 13.4356 L1 = 1.7693 M5 = 0.0784 M4 = 0.0796 M1 = 0.2515 L3 = 1.5536 M3 = 0.1848 M2 = 0.1919 L2 = 1.6022 [H] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] total = [ 1.14140000e+01 2.93160000e+00 1.11060000e+00 2.80640000e-01 1.05250000e-01 4.90690000e-02 2.62740000e-02 9.81630000e-03 4.55820000e-03 1.12800000e-03 4.18160000e-04 1.03160000e-04 3.82280000e-05 1.77090000e-05 9.45510000e-06 3.52260000e-06 1.64420000e-06 4.17650000e-07 1.61060000e-07 4.41380000e-08 1.85810000e-08 9.92720000e-09 6.15780000e-09 3.11760000e-09 1.96070000e-09 9.73180000e-10] K = [ 1.14140000e+01 2.93160000e+00 1.11060000e+00 2.80640000e-01 1.05250000e-01 4.90690000e-02 2.62740000e-02 9.81630000e-03 4.55820000e-03 1.12800000e-03 4.18160000e-04 1.03160000e-04 3.82280000e-05 1.77090000e-05 9.45510000e-06 3.52260000e-06 1.64420000e-06 4.17650000e-07 1.61060000e-07 4.41380000e-08 1.85810000e-08 9.92720000e-09 6.15780000e-09 3.11760000e-09 1.96070000e-09 9.73180000e-10] [H.binding] K = 0.0136 [P] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.12830000e+00 2.14530000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 5.64720000e+02 1.65060000e+02 6.62860000e+01 5.42220000e+01 5.28370000e+01 1.73610000e+01 6.45230000e+00 2.93880000e+00 1.52830000e+00 5.34240000e-01 2.32740000e-01 4.98220000e-02 1.63480000e-02 3.33730000e-03 1.07500000e-03 4.46620000e-04 2.18300000e-04 7.10140000e-05 2.99900000e-05 6.46880000e-06 2.25900000e-06 5.50460000e-07 2.15490000e-07 1.08610000e-07 6.40150000e-08 2.94850000e-08 1.69910000e-08 7.00570000e-09] M = [ 5.27660000e+03 1.98000000e+03 9.67710000e+02 8.27170000e+02 8.10660000e+02 3.42270000e+02 1.59820000e+02 8.73790000e+01 5.29230000e+01 2.36100000e+01 1.24780000e+01 3.81210000e+00 1.61100000e+00 4.66760000e-01 1.90920000e-01 9.47630000e-02 5.32620000e-02 2.13450000e-02 1.04750000e-02 2.88020000e-03 1.16450000e-03 3.37020000e-04 1.46250000e-04 7.94360000e-05 4.96850000e-05 2.51720000e-05 1.56590000e-05 7.36930000e-06] L = [ 9.29710000e+04 3.15690000e+04 1.44420000e+04 1.21760000e+04 1.19120000e+04 4.69460000e+03 2.08480000e+03 1.10230000e+03 6.51590000e+02 2.81640000e+02 1.45740000e+02 4.32000000e+01 1.79630000e+01 5.11700000e+00 2.07480000e+00 1.02420000e+00 5.73560000e-01 2.28770000e-01 1.12010000e-01 3.06890000e-02 1.23860000e-02 3.57930000e-03 1.55210000e-03 8.42650000e-04 5.26870000e-04 2.66740000e-04 1.65760000e-04 7.77480000e-05] L2 = [ 1.87930000e+04 5.34130000e+03 2.10610000e+03 1.71510000e+03 1.67040000e+03 5.38490000e+02 1.97890000e+02 8.94940000e+01 4.63090000e+01 1.60800000e+01 6.97580000e+00 1.48420000e+00 4.85320000e-01 9.86920000e-02 3.17190000e-02 1.31570000e-02 6.42090000e-03 2.09470000e-03 8.84750000e-04 1.90880000e-04 6.66880000e-05 1.62900000e-05 6.39270000e-06 3.22330000e-06 1.90080000e-06 8.80110000e-07 5.08110000e-07 2.10910000e-07] L3 = [ 3.68990000e+04 1.04550000e+04 4.11220000e+03 3.34690000e+03 3.25940000e+03 1.04720000e+03 3.83610000e+02 1.73000000e+02 8.92930000e+01 3.08670000e+01 1.33360000e+01 2.81100000e+00 9.11860000e-01 1.82850000e-01 5.80380000e-02 2.38100000e-02 1.15080000e-02 3.66860000e-03 1.52400000e-03 3.19030000e-04 1.09390000e-04 2.63200000e-05 1.03840000e-05 5.36030000e-06 3.24890000e-06 1.58220000e-06 9.66360000e-07 4.40520000e-07] M3 = [ 1.10900000e+03 3.23060000e+02 1.29410000e+02 1.05800000e+02 1.03090000e+02 3.37520000e+01 1.24770000e+01 5.66600000e+00 2.93930000e+00 1.02270000e+00 4.43710000e-01 9.40990000e-02 3.06270000e-02 6.16390000e-03 1.96030000e-03 8.05110000e-04 3.89360000e-04 1.24380000e-04 5.17090000e-05 1.08320000e-05 3.71460000e-06 8.95310000e-07 3.54210000e-07 1.82750000e-07 1.10820000e-07 5.43810000e-08 3.33630000e-08 1.55810000e-08] L1 = [ 3.72790000e+04 1.57730000e+04 8.22370000e+03 7.11370000e+03 6.98180000e+03 3.10880000e+03 1.50330000e+03 8.39770000e+02 5.15990000e+02 2.34690000e+02 1.25430000e+02 3.89050000e+01 1.65660000e+01 4.83550000e+00 1.98500000e+00 9.87280000e-01 5.55630000e-01 2.23010000e-01 1.09600000e-01 3.01790000e-02 1.22100000e-02 3.53670000e-03 1.53530000e-03 8.34060000e-04 5.21720000e-04 2.64280000e-04 1.64290000e-04 7.70960000e-05] JK = 9.77389833115 M1 = [ 3.60290000e+03 1.49190000e+03 7.72020000e+02 6.67150000e+02 6.54730000e+02 2.91160000e+02 1.40890000e+02 7.87750000e+01 4.84560000e+01 2.20530000e+01 1.18010000e+01 3.66820000e+00 1.56400000e+00 4.57260000e-01 1.87890000e-01 9.35110000e-02 5.26540000e-02 2.11490000e-02 1.03940000e-02 2.86290000e-03 1.15850000e-03 3.35580000e-04 1.45680000e-04 7.91440000e-05 4.95100000e-05 2.50890000e-05 1.56090000e-05 7.34670000e-06] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 9.82480000e+04 3.35490000e+04 1.54100000e+04 1.30030000e+04 1.27090000e+05 5.74090000e+04 2.68840000e+04 1.46450000e+04 8.81850000e+03 3.89200000e+03 2.03640000e+03 6.11210000e+02 2.55500000e+02 7.30990000e+01 2.96860000e+01 1.46640000e+01 8.21310000e+00 3.27610000e+00 1.60310000e+00 4.38910000e-01 1.77060000e-01 5.11330000e-02 2.21640000e-02 1.20320000e-02 7.52280000e-03 3.81290000e-03 2.37020000e-03 1.11240000e-03] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.14370000e+05 5.23720000e+04 2.46390000e+04 1.34550000e+04 8.11400000e+03 3.58680000e+03 1.87820000e+03 5.64190000e+02 2.35920000e+02 6.75150000e+01 2.74200000e+01 1.35450000e+01 7.58620000e+00 3.02600000e+00 1.48060000e+00 4.05340000e-01 1.63510000e-01 4.72170000e-02 2.04660000e-02 1.11090000e-02 6.94630000e-03 3.52100000e-03 2.18880000e-03 1.02730000e-03] [P.binding] K = 2.1304 L1 = 0.1872 M1 = 0.0172 L3 = 0.1382 M3 = 0.0083 M2 = 0.0084 L2 = 0.1392 [Os] JL1 = 1.13214242229 JL3 = 2.53230442143 JL2 = 1.3577698592 energy = [ 1.00000000e+00 1.50000000e+00 1.96870000e+00 1.98440000e+00 2.00000000e+00 2.04250000e+00 2.05880000e+00 2.44920000e+00 2.46880000e+00 2.78800000e+00 2.81030000e+00 3.00000000e+00 3.02860000e+00 3.05280000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.08650000e+01 1.09520000e+01 1.24120000e+01 1.25110000e+01 1.29420000e+01 1.30450000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 7.40240000e+01 7.46170000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.90592277487 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.39070000e+05 3.91280000e+05 5.43270000e+05 5.45850000e+05 3.58040000e+05 3.50420000e+05 2.51700000e+05 2.46250000e+05 2.07110000e+05 2.01870000e+05 1.97570000e+05 9.12980000e+04 4.65060000e+04 2.62580000e+04 1.03060000e+04 4.85100000e+03 3.64290000e+03 3.54360000e+03 2.28740000e+03 2.22390000e+03 1.97310000e+03 1.91810000e+03 1.16420000e+03 4.06070000e+02 8.75480000e+01 2.86110000e+01 1.18630000e+01 5.74530000e+00 2.48430000e+00 2.40640000e+00 1.82170000e+00 7.47820000e-01 1.51370000e-01 5.02120000e-02 1.14770000e-02 4.32250000e-03 2.13110000e-03 1.23940000e-03 5.59830000e-04 3.22090000e-04 1.32700000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.36450000e+04 2.53680000e+05 2.48390000e+05 1.79530000e+05 1.75710000e+05 1.47190000e+05 1.43440000e+05 1.41270000e+05 6.63240000e+04 3.42240000e+04 1.95310000e+04 7.78880000e+03 3.71630000e+03 2.80560000e+03 2.73030000e+03 1.77690000e+03 1.72850000e+03 1.53680000e+03 1.49470000e+03 9.15920000e+02 3.26230000e+02 7.26880000e+01 2.43820000e+01 1.03320000e+01 5.09780000e+00 2.25350000e+00 2.18470000e+00 1.66620000e+00 7.00430000e-01 1.47560000e-01 5.00210000e-02 1.15780000e-02 4.31780000e-03 2.08620000e-03 1.18360000e-03 5.19130000e-04 2.84600000e-04 1.10790000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.51920000e+04 1.76710000e+04 1.26910000e+04 9.43990000e+03 5.76070000e+03 3.84000000e+03 3.28970000e+03 3.24070000e+03 2.55110000e+03 2.51220000e+03 2.35340000e+03 2.31740000e+03 1.76100000e+03 9.82680000e+02 4.14740000e+02 2.18670000e+02 1.31020000e+02 8.53590000e+01 5.15580000e+01 5.05690000e+01 4.26770000e+01 2.46030000e+01 8.84110000e+00 4.23540000e+00 1.50880000e+00 7.38880000e-01 4.32680000e-01 2.83780000e-01 1.50670000e-01 9.48320000e-02 4.35470000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.26090000e+05 1.05370000e+05 1.04070000e+05 9.33230000e+04 9.17960000e+04 9.05240000e+04 5.64150000e+04 3.66650000e+04 2.51920000e+04 1.33780000e+04 7.93450000e+03 6.49180000e+03 6.36620000e+03 4.66860000e+03 4.57620000e+03 4.20220000e+03 4.11820000e+03 2.87780000e+03 1.33690000e+03 4.27870000e+02 1.83640000e+02 9.35290000e+01 5.33320000e+01 2.76530000e+01 2.69670000e+01 2.16460000e+01 1.06550000e+01 2.91640000e+00 1.17050000e+00 3.35020000e-01 1.43910000e-01 7.72650000e-02 4.76640000e-02 2.33500000e-02 1.40070000e-02 6.07310000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.20830000e+04 3.86550000e+04 3.83190000e+04 3.80220000e+04 2.60050000e+04 1.83580000e+04 1.32450000e+04 7.53820000e+03 4.69240000e+03 3.90330000e+03 3.83420000e+03 2.88630000e+03 2.83360000e+03 2.61920000e+03 2.57090000e+03 1.84780000e+03 9.08420000e+02 3.14830000e+02 1.43190000e+02 7.63750000e+01 4.52730000e+01 2.45760000e+01 2.40090000e+01 1.95720000e+01 1.01330000e+01 3.04560000e+00 1.30530000e+00 4.06770000e-01 1.83790000e-01 1.01850000e-01 6.41350000e-02 3.22830000e-02 1.96610000e-02 8.70370000e-03] total = [ 1.26960000e+06 5.65410000e+05 3.16630000e+05 4.50230000e+05 6.97180000e+05 8.35410000e+05 9.26570000e+05 8.06890000e+05 9.16600000e+05 6.82080000e+05 7.10970000e+05 6.09220000e+05 5.95690000e+05 6.10650000e+05 3.20330000e+05 1.85050000e+05 1.17100000e+05 5.62200000e+04 3.15430000e+04 2.53990000e+04 6.43180000e+04 4.60240000e+04 6.24900000e+04 5.74910000e+04 6.50880000e+04 4.57190000e+04 2.15450000e+04 7.29700000e+03 3.34070000e+03 1.81110000e+03 1.09470000e+03 6.11200000e+02 2.99850000e+03 2.49950000e+03 1.39170000e+03 4.70840000e+02 2.16880000e+02 7.38230000e+01 3.53300000e+01 2.04350000e+01 1.33120000e+01 7.02640000e+00 4.41800000e+00 2.03260000e+00] JM2 = 1.0423557354 JM3 = 1.13596648862 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.40070000e+03 2.00710000e+03 1.12730000e+03 3.85420000e+02 1.78320000e+02 6.09380000e+01 2.92310000e+01 1.69380000e+01 1.10510000e+01 5.84720000e+00 3.68300000e+00 1.69870000e+00] JM1 = 1.02511373365 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.39070000e+05 3.91280000e+05 5.43270000e+05 6.39490000e+05 6.11720000e+05 7.24900000e+05 5.36600000e+05 5.68120000e+05 4.86280000e+05 4.75420000e+05 4.92570000e+05 2.57710000e+05 1.48440000e+05 9.36660000e+04 4.47730000e+04 2.50340000e+04 2.01330000e+04 1.97150000e+04 1.41700000e+04 1.38740000e+04 1.26850000e+04 1.24190000e+04 8.56670000e+03 3.96030000e+03 1.31770000e+03 5.98490000e+02 3.23120000e+02 1.94810000e+02 1.08520000e+02 1.06140000e+02 8.73830000e+01 4.68390000e+01 1.51020000e+01 6.81140000e+00 2.27360000e+00 1.07520000e+00 6.16010000e-01 3.98000000e-01 2.07380000e-01 1.29110000e-01 5.85670000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.94440000e+04 2.81130000e+04 4.49510000e+04 4.14470000e+04 4.93790000e+04 3.48620000e+04 1.65080000e+04 5.61390000e+03 2.57420000e+03 1.39640000e+03 8.44340000e+02 4.71550000e+02 4.61210000e+02 3.79950000e+02 2.04030000e+02 6.59160000e+01 2.97570000e+01 9.94230000e+00 4.70600000e+00 2.69850000e+00 1.74500000e+00 9.10490000e-01 5.67630000e-01 2.58000000e-01] JM4 = 1.10912007278 JM5 = 1.42194359347 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.74190000e+04 1.62460000e+04 1.58630000e+04 1.11070000e+04 5.13940000e+03 1.64930000e+03 7.15180000e+02 3.69350000e+02 2.13890000e+02 1.13370000e+02 1.10670000e+02 8.95710000e+01 4.54140000e+01 1.32430000e+01 5.58390000e+00 1.71100000e+00 7.66580000e-01 4.22730000e-01 2.65410000e-01 1.33010000e-01 8.08160000e-02 3.57180000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.94440000e+04 2.81130000e+04 2.75320000e+04 2.52020000e+04 2.46780000e+04 1.68080000e+04 7.25920000e+03 2.14480000e+03 8.78230000e+02 4.33230000e+02 2.41410000e+02 1.22290000e+02 1.19160000e+02 9.49830000e+01 4.58200000e+01 1.21840000e+01 4.81570000e+00 1.35710000e+00 5.78590000e-01 3.09340000e-01 1.90340000e-01 9.31540000e-02 5.58530000e-02 2.42050000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.83800000e+03 6.94680000e+03 4.10960000e+03 1.81970000e+03 9.80750000e+02 5.93860000e+02 3.89040000e+02 2.35890000e+02 2.31390000e+02 1.95400000e+02 1.12790000e+02 4.04890000e+01 1.93570000e+01 6.87430000e+00 3.36080000e+00 1.96640000e+00 1.28920000e+00 6.84330000e-01 4.30960000e-01 1.98080000e-01] all other = [ 1.26960000e+06 5.65410000e+05 3.16630000e+05 3.11170000e+05 3.05890000e+05 2.92140000e+05 2.87080000e+05 1.95170000e+05 1.91700000e+05 1.45480000e+05 1.42850000e+05 1.22930000e+05 1.20270000e+05 1.18080000e+05 6.26180000e+04 3.66070000e+04 2.34300000e+04 1.14480000e+04 6.50880000e+03 5.26610000e+03 5.15970000e+03 3.74120000e+03 3.66500000e+03 3.35850000e+03 3.28990000e+03 2.29010000e+03 1.07660000e+03 3.65420000e+02 1.68060000e+02 9.15170000e+01 5.55130000e+01 3.11200000e+01 3.04420000e+01 2.51110000e+01 1.35360000e+01 4.40110000e+00 1.99410000e+00 6.69020000e-01 3.17230000e-01 1.82040000e-01 1.17730000e-01 6.14070000e-02 3.82630000e-02 1.73690000e-02] [Os.binding] K = 74.0983 L1 = 12.9548 M5 = 1.9706 M4 = 2.0445 M1 = 3.0316 L3 = 10.8761 M3 = 2.4517 M2 = 2.7908 L2 = 12.4244 [Es] JL1 = 1.13158902361 JL3 = 2.27478119275 JL2 = 1.40897601528 energy = [ 1.00000000e+00 1.02300000e+00 1.03110000e+00 1.31460000e+00 1.32510000e+00 1.50000000e+00 1.67310000e+00 1.68650000e+00 1.85980000e+00 1.87470000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 4.36430000e+00 4.39920000e+00 4.62030000e+00 4.65730000e+00 5.00000000e+00 5.24130000e+00 5.28320000e+00 6.00000000e+00 6.56080000e+00 6.61330000e+00 6.96350000e+00 7.01930000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 2.03850000e+01 2.05490000e+01 2.59880000e+01 2.61960000e+01 2.68660000e+01 2.70810000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.39340000e+02 1.40460000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 3.8305508728 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.06720000e+05 1.91580000e+05 1.87570000e+05 1.56920000e+05 1.38600000e+05 1.35620000e+05 9.41600000e+04 7.21290000e+04 7.05320000e+04 6.07570000e+04 5.93280000e+04 3.98600000e+04 2.00140000e+04 5.37050000e+03 2.02030000e+03 1.89130000e+03 1.83970000e+03 8.05960000e+02 7.83390000e+02 7.15990000e+02 6.95910000e+02 4.82020000e+02 1.68800000e+02 7.37060000e+01 3.71730000e+01 1.25100000e+01 5.36540000e+00 1.53120000e+00 1.48600000e+00 1.16140000e+00 4.01980000e-01 9.54590000e-02 3.65670000e-02 1.81460000e-02 1.05670000e-02 4.82330000e-03 2.75300000e-03 1.11510000e-03] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.29630000e+05 1.15270000e+05 1.02840000e+05 1.00830000e+05 7.16690000e+04 5.54230000e+04 5.41500000e+04 4.65770000e+04 4.55660000e+04 3.10790000e+04 1.59400000e+04 4.44490000e+03 1.72050000e+03 1.61380000e+03 1.57120000e+03 7.06640000e+02 6.87490000e+02 6.30100000e+02 6.12950000e+02 4.29600000e+02 1.55760000e+02 6.99630000e+01 3.61420000e+01 1.26440000e+01 5.58820000e+00 1.66470000e+00 1.61710000e+00 1.27390000e+00 4.54760000e-01 1.11150000e-01 4.28400000e-02 2.11640000e-02 1.22100000e-02 5.47630000e-03 3.06000000e-03 1.20060000e-03] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.77760000e+03 7.35590000e+03 5.34910000e+03 2.83460000e+03 1.71050000e+03 1.65180000e+03 1.62770000e+03 1.04860000e+03 1.03260000e+03 9.83520000e+02 9.68490000e+02 7.93830000e+02 4.44780000e+02 2.78970000e+02 1.88500000e+02 9.97680000e+01 6.01020000e+01 2.78120000e+01 2.72970000e+01 2.33890000e+01 1.18550000e+01 4.56600000e+00 2.35510000e+00 1.42940000e+00 9.61180000e-01 5.25290000e-01 3.35010000e-01 1.54290000e-01] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.82930000e+04 4.71970000e+04 4.05550000e+04 3.99510000e+04 3.61370000e+04 3.55700000e+04 2.75640000e+04 1.75350000e+04 7.18650000e+03 3.61520000e+03 3.44980000e+03 3.38290000e+03 1.87170000e+03 1.83370000e+03 1.71790000e+03 1.68270000e+03 1.28750000e+03 5.93580000e+02 3.18900000e+02 1.89670000e+02 8.20190000e+01 4.22860000e+01 1.55990000e+01 1.52280000e+01 1.24880000e+01 5.25230000e+00 1.58250000e+00 6.96570000e-01 3.78040000e-01 2.34010000e-01 1.14480000e-01 6.81350000e-02 2.88140000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.38580000e+04 1.31560000e+04 1.30390000e+04 1.14480000e+04 8.31630000e+03 4.21410000e+03 2.40240000e+03 2.31030000e+03 2.27280000e+03 1.38070000e+03 1.35690000e+03 1.28400000e+03 1.26170000e+03 1.00340000e+03 5.14740000e+02 2.99720000e+02 1.90310000e+02 9.11690000e+01 5.08720000e+01 2.10900000e+01 2.06460000e+01 1.73230000e+01 8.03660000e+00 2.75780000e+00 1.31960000e+00 7.59450000e-01 4.91210000e-01 2.55740000e-01 1.59000000e-01 7.24380000e-02] total = [ 3.25290000e+06 3.14140000e+06 3.19420000e+06 2.14070000e+06 2.24360000e+06 1.76230000e+06 1.41140000e+06 1.40510000e+06 1.14580000e+06 1.14680000e+06 9.99820000e+05 4.10150000e+05 2.11700000e+05 1.72580000e+05 3.76100000e+05 3.42460000e+05 4.65260000e+05 3.97310000e+05 3.53280000e+05 4.04470000e+05 2.93880000e+05 2.33240000e+05 2.42380000e+05 2.12980000e+05 2.17550000e+05 1.57440000e+05 9.02640000e+04 3.23990000e+04 1.54820000e+04 1.47390000e+04 3.35280000e+04 1.78030000e+04 2.50840000e+04 2.35050000e+04 2.65980000e+04 2.04890000e+04 9.88430000e+03 5.54390000e+03 3.43950000e+03 1.60890000e+03 8.89300000e+02 3.67780000e+02 1.40880000e+03 1.20490000e+03 5.83740000e+02 2.13170000e+02 1.06900000e+02 6.38860000e+01 4.25790000e+01 2.30780000e+01 1.46760000e+01 6.76310000e+00] JM2 = 1.03918710341 JM3 = 1.14489923007 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1048.8 902.55 442.2 163.46 82.584 49.622 33.211 18.103 11.551 5.3417] JM1 = 1.02145741384 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.06720000e+05 1.91580000e+05 3.17190000e+05 2.72180000e+05 2.41440000e+05 2.94750000e+05 2.13030000e+05 1.68110000e+05 1.78490000e+05 1.56630000e+05 1.62280000e+05 1.17310000e+05 6.71540000e+04 2.40510000e+04 1.14690000e+04 1.09170000e+04 1.06940000e+04 5.81360000e+03 5.69410000e+03 5.33150000e+03 5.22170000e+03 3.99640000e+03 1.87770000e+03 1.04130000e+03 6.41790000e+02 2.98110000e+02 1.64210000e+02 6.76980000e+01 6.62740000e+01 5.56360000e+01 2.60010000e+01 9.11300000e+00 4.45060000e+00 2.60620000e+00 1.70920000e+00 9.05810000e-01 5.67960000e-01 2.57850000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.90890000e+04 9.94250000e+03 1.73850000e+04 1.62950000e+04 1.95370000e+04 1.50810000e+04 7.33920000e+03 4.13090000e+03 2.56780000e+03 1.20350000e+03 6.65780000e+02 2.75520000e+02 2.69740000e+02 2.26550000e+02 1.06070000e+02 3.72650000e+01 1.82390000e+01 1.07020000e+01 7.03100000e+00 3.73680000e+00 2.34780000e+00 1.06880000e+00] JM4 = 1.35858202418 JM5 = 2.17927917488 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.65580000e+03 7.21420000e+03 7.12680000e+03 5.48810000e+03 2.70690000e+03 1.51620000e+03 9.33830000e+02 4.28140000e+02 2.31890000e+02 9.25890000e+01 9.05670000e+01 7.55000000e+01 3.41570000e+01 1.14120000e+01 5.38640000e+00 3.07540000e+00 1.97930000e+00 1.02510000e+00 6.35640000e-01 2.88650000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.90890000e+04 9.94250000e+03 9.72950000e+03 9.08110000e+03 8.88420000e+03 6.65070000e+03 2.87380000e+03 1.47850000e+03 8.51680000e+02 3.52100000e+02 1.76260000e+02 6.26820000e+01 6.11440000e+01 4.98300000e+01 2.04670000e+01 6.01760000e+00 2.61730000e+00 1.41110000e+00 8.70080000e-01 4.24030000e-01 2.51920000e-01 1.06730000e-01] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.52560000e+03 2.94200000e+03 1.75850000e+03 1.13620000e+03 7.82280000e+02 4.23240000e+02 2.57630000e+02 1.20250000e+02 1.18030000e+02 1.01220000e+02 5.14450000e+01 1.98360000e+01 1.02350000e+01 6.21520000e+00 4.18160000e+00 2.28770000e+00 1.46020000e+00 6.73420000e-01] all other = [ 3.25290000e+06 3.14140000e+06 3.19420000e+06 2.14070000e+06 2.24360000e+06 1.76230000e+06 1.41140000e+06 1.40510000e+06 1.14580000e+06 1.14680000e+06 9.99820000e+05 4.10150000e+05 2.11700000e+05 1.72580000e+05 1.69380000e+05 1.50880000e+05 1.48070000e+05 1.25130000e+05 1.11840000e+05 1.09730000e+05 8.08530000e+04 6.51370000e+04 6.38870000e+04 5.63510000e+04 5.52670000e+04 4.01280000e+04 2.31100000e+04 8.34850000e+03 4.01300000e+03 3.82150000e+03 3.74420000e+03 2.04670000e+03 2.00490000e+03 1.87840000e+03 1.84010000e+03 1.41160000e+03 6.67450000e+02 3.71740000e+02 2.29890000e+02 1.07300000e+02 5.93160000e+01 2.45660000e+01 2.40520000e+01 2.02080000e+01 9.47840000e+00 3.33410000e+00 1.63130000e+00 9.56110000e-01 6.27660000e-01 3.32820000e-01 2.08740000e-01 9.47620000e-02] [Es.binding] K = 139.4815 L1 = 26.8925 M5 = 4.3686 M4 = 4.6249 M1 = 6.9705 L3 = 20.4058 M3 = 5.2465 M2 = 6.5673 L2 = 26.0139 [Hg] JL1 = 1.13207624095 JL3 = 2.48028298179 JL2 = 1.36420689833 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.29810000e+00 2.31650000e+00 2.39240000e+00 2.41150000e+00 2.83390000e+00 2.85660000e+00 3.00000000e+00 3.27130000e+00 3.29750000e+00 3.53560000e+00 3.56390000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.22740000e+01 1.23720000e+01 1.42410000e+01 1.43550000e+01 1.48190000e+01 1.49380000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 8.33200000e+01 8.39870000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.7288683436 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.53280000e+04 4.58290000e+05 4.54030000e+05 3.01920000e+05 2.95400000e+05 2.58110000e+05 2.02850000e+05 1.98370000e+05 1.64310000e+05 1.60790000e+05 1.16070000e+05 5.99990000e+04 3.42250000e+04 1.36320000e+04 6.49240000e+03 3.21960000e+03 3.13160000e+03 1.91350000e+03 1.86030000e+03 1.66170000e+03 1.61530000e+03 1.59170000e+03 5.63100000e+02 1.23790000e+02 4.09990000e+01 1.71700000e+01 8.37920000e+00 2.68680000e+00 2.28740000e+00 2.21640000e+00 1.11190000e+00 2.27960000e-01 7.61760000e-02 1.75430000e-02 6.62880000e-03 3.27270000e-03 1.90400000e-03 8.61290000e-04 4.97510000e-04 2.00660000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.68830000e+04 2.15810000e+05 2.11280000e+05 1.85250000e+05 1.46290000e+05 1.43120000e+05 1.18040000e+05 1.16030000e+05 8.47300000e+04 4.43450000e+04 2.55540000e+04 1.03710000e+04 5.01130000e+03 2.51980000e+03 2.45230000e+03 1.51360000e+03 1.47240000e+03 1.31820000e+03 1.28210000e+03 1.26370000e+03 4.57170000e+02 1.04070000e+02 3.54280000e+01 1.51780000e+01 7.55310000e+00 2.50010000e+00 2.13810000e+00 2.07360000e+00 1.06060000e+00 2.26750000e-01 7.75570000e-02 1.81390000e-02 6.80660000e-03 3.30250000e-03 1.87970000e-03 8.25790000e-04 4.53930000e-04 1.77040000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.09520000e+04 1.84670000e+04 1.32610000e+04 1.01270000e+04 6.28880000e+03 4.23990000e+03 2.90470000e+03 2.86170000e+03 2.18820000e+03 2.15470000e+03 2.02610000e+03 1.99500000e+03 1.97900000e+03 1.11670000e+03 4.78260000e+02 2.54770000e+02 1.53860000e+02 1.00890000e+02 5.09620000e+01 4.61980000e+01 4.53160000e+01 2.96120000e+01 1.07930000e+01 5.22170000e+00 1.88470000e+00 9.30760000e-01 5.48120000e-01 3.60870000e-01 1.92400000e-01 1.21330000e-01 5.57100000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.06440000e+05 1.01080000e+05 8.93580000e+04 8.82090000e+04 7.81440000e+04 7.70280000e+04 6.24350000e+04 4.16850000e+04 2.89600000e+04 1.56570000e+04 9.40310000e+03 5.75370000e+03 5.64220000e+03 3.97600000e+03 3.89700000e+03 3.59530000e+03 3.52310000e+03 3.48600000e+03 1.64390000e+03 5.36660000e+02 2.33490000e+02 1.20120000e+02 6.90430000e+01 2.83580000e+01 2.49740000e+01 2.43590000e+01 1.40790000e+01 3.90850000e+00 1.58220000e+00 4.57210000e-01 1.97310000e-01 1.06160000e-01 6.55350000e-02 3.20890000e-02 1.92170000e-02 8.30460000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.43810000e+04 3.20650000e+04 3.18290000e+04 2.74810000e+04 1.97390000e+04 1.46670000e+04 8.61520000e+03 5.48420000e+03 3.52650000e+03 3.46450000e+03 2.52330000e+03 2.47750000e+03 2.30180000e+03 2.25950000e+03 2.23780000e+03 1.12540000e+03 4.01590000e+02 1.86260000e+02 1.00800000e+02 6.04330000e+01 2.65750000e+01 2.36350000e+01 2.30970000e+01 1.39310000e+01 4.27500000e+00 1.85650000e+00 5.87890000e-01 2.68180000e-01 1.49560000e-01 9.46050000e-02 4.78450000e-02 2.92700000e-02 1.30100000e-02] total = [ 1.60490000e+06 7.20090000e+05 3.90530000e+05 2.87670000e+05 3.77940000e+05 7.21320000e+05 7.79310000e+05 6.97130000e+05 7.89290000e+05 7.01890000e+05 5.67410000e+05 5.90630000e+05 5.00100000e+05 5.12170000e+05 3.89580000e+05 2.26100000e+05 1.43690000e+05 6.93210000e+04 3.90300000e+04 2.28990000e+04 5.67960000e+04 3.88790000e+04 5.30390000e+04 4.90550000e+04 5.55340000e+04 5.48950000e+04 2.62780000e+04 8.98920000e+03 4.14180000e+03 2.25650000e+03 1.36930000e+03 6.19660000e+02 5.53790000e+02 2.61880000e+03 1.65650000e+03 5.70200000e+02 2.64750000e+02 9.11300000e+01 4.39220000e+01 2.55300000e+01 1.66870000e+01 8.84220000e+00 5.56840000e+00 2.56120000e+00] JM2 = 1.04092278952 JM3 = 1.13219915941 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 2077.1 1322.3 461.36 215.32 74.481 36. 20.971 13.733 7.2972 4.6046 2.1237] JM1 = 1.02413517297 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.53280000e+04 4.58290000e+05 5.20920000e+05 5.17730000e+05 6.13120000e+05 5.44440000e+05 4.38490000e+05 4.64080000e+05 3.92560000e+05 4.06630000e+05 3.09190000e+05 1.79030000e+05 1.13530000e+05 5.45640000e+04 3.06310000e+04 1.79240000e+04 1.75520000e+04 1.21150000e+04 1.18620000e+04 1.09030000e+04 1.06750000e+04 1.05580000e+04 4.90630000e+03 1.64440000e+03 7.50940000e+02 4.07130000e+02 2.46300000e+02 1.11080000e+02 9.92330000e+01 9.70620000e+01 5.97950000e+01 1.94320000e+01 8.81410000e+00 2.96550000e+00 1.40970000e+00 8.10410000e-01 5.24800000e-01 2.74020000e-01 1.70770000e-01 7.74030000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.43700000e+04 2.33730000e+04 3.78550000e+04 3.50940000e+04 4.18630000e+04 4.13730000e+04 1.99750000e+04 6.86850000e+03 3.17100000e+03 1.72930000e+03 1.04990000e+03 4.75380000e+02 4.24870000e+02 4.15600000e+02 2.56420000e+02 8.35290000e+01 3.79300000e+01 1.27770000e+01 6.08050000e+00 3.49940000e+00 2.26840000e+00 1.18670000e+00 7.40480000e-01 3.36300000e-01] JM4 = 1.08039427716 JM5 = 1.31379705913 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.49680000e+04 1.40510000e+04 1.37280000e+04 1.35590000e+04 6.46780000e+03 2.11880000e+03 9.35300000e+02 4.89320000e+02 2.86140000e+02 1.21580000e+02 1.07670000e+02 1.05130000e+02 6.23180000e+01 1.85040000e+01 7.89360000e+00 2.45370000e+00 1.10890000e+00 6.15110000e-01 3.87800000e-01 1.95410000e-01 1.19140000e-01 5.28640000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.43700000e+04 2.33730000e+04 2.28870000e+04 2.10440000e+04 2.06030000e+04 2.03760000e+04 8.97870000e+03 2.69970000e+03 1.11580000e+03 5.54800000e+02 3.11130000e+02 1.23590000e+02 1.08380000e+02 1.05630000e+02 6.00380000e+01 1.61510000e+01 6.42930000e+00 1.82650000e+00 7.81770000e-01 4.18710000e-01 2.57780000e-01 1.26080000e-01 7.54790000e-02 3.25570000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.53210000e+03 7.43820000e+03 4.52820000e+03 2.05000000e+03 1.11990000e+03 6.85210000e+02 4.52670000e+02 2.30210000e+02 2.08820000e+02 2.04850000e+02 1.34070000e+02 4.88750000e+01 2.36070000e+01 8.49710000e+00 4.18980000e+00 2.46560000e+00 1.62280000e+00 8.65190000e-01 5.45860000e-01 2.50880000e-01] all other = [ 1.60490000e+06 7.20090000e+05 3.90530000e+05 2.87670000e+05 2.82620000e+05 2.63040000e+05 2.58390000e+05 1.79400000e+05 1.76160000e+05 1.57460000e+05 1.28910000e+05 1.26550000e+05 1.07530000e+05 1.05540000e+05 8.03880000e+04 4.70720000e+04 3.01620000e+04 1.47570000e+04 8.39930000e+03 4.97500000e+03 4.87400000e+03 3.39070000e+03 3.32140000e+03 3.05810000e+03 2.99550000e+03 2.96330000e+03 1.39700000e+03 4.76350000e+02 2.19800000e+02 1.20080000e+02 7.30600000e+01 3.32030000e+01 2.96910000e+01 2.90470000e+01 1.79650000e+01 5.88410000e+00 2.68090000e+00 9.06490000e-01 4.31920000e-01 2.48680000e-01 1.61190000e-01 8.42800000e-02 5.25460000e-02 2.38310000e-02] [Hg.binding] K = 83.403 L1 = 14.834 M5 = 2.3005 M4 = 2.3948 M1 = 3.5392 L3 = 12.2862 M3 = 2.8368 M2 = 3.2745 L2 = 14.2548 [Ge] JL1 = 1.10863318796 JL3 = 4.01611079706 JL2 = 1.34611440103 energy = [ 1.00000000e+00 1.22150000e+00 1.23130000e+00 1.25420000e+00 1.26430000e+00 1.40100000e+00 1.41220000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.10560000e+01 1.11440000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 3.96310000e+04 2.61530000e+04 2.57070000e+04 2.47030000e+04 2.42790000e+04 1.93540000e+04 1.90100000e+04 1.65760000e+04 8.36130000e+03 2.94280000e+03 1.33470000e+03 7.04150000e+02 4.10840000e+02 1.70600000e+02 8.43230000e+01 6.10510000e+01 5.94950000e+01 2.23950000e+01 8.47780000e+00 2.07960000e+00 7.51710000e-01 3.38590000e-01 1.75920000e-01 6.26330000e-02 2.81520000e-02 6.70660000e-03 2.48730000e-03 6.51060000e-04 2.65660000e-04 1.37660000e-04 8.27650000e-05 3.91120000e-05 2.29630000e-05 9.65970000e-06] M = [ 2.22550000e+05 1.38120000e+05 1.35480000e+05 1.29580000e+05 1.27100000e+05 9.89880000e+04 9.70720000e+04 8.36850000e+04 4.07480000e+04 1.43340000e+04 6.70750000e+03 3.68810000e+03 2.24980000e+03 1.02140000e+03 5.49270000e+02 4.14690000e+02 4.05510000e+02 1.75160000e+02 7.69730000e+01 2.37760000e+01 1.02130000e+01 5.26880000e+00 3.05600000e+00 1.28660000e+00 6.54500000e-01 1.91550000e-01 8.06100000e-02 2.44970000e-02 1.09280000e-02 6.03340000e-03 3.80940000e-03 1.94370000e-03 1.20770000e-03 5.60070000e-04] L = [ 0.00000000e+00 0.00000000e+00 4.29520000e+05 4.71730000e+05 6.83500000e+05 5.84020000e+05 6.60460000e+05 5.73590000e+05 2.84350000e+05 1.00560000e+05 4.68120000e+04 2.55710000e+04 1.55060000e+04 6.97400000e+03 3.72660000e+03 2.80610000e+03 2.74340000e+03 1.17690000e+03 5.14190000e+02 1.57670000e+02 6.74360000e+01 3.46920000e+01 2.00830000e+01 8.42940000e+00 4.28390000e+00 1.25040000e+00 5.25420000e-01 1.59420000e-01 7.10650000e-02 3.92260000e-02 2.47630000e-02 1.26340000e-02 7.85000000e-03 3.64060000e-03] M5 = [ 4.28910000e+04 2.23120000e+04 2.17280000e+04 2.04310000e+04 1.98930000e+04 1.40690000e+04 1.36920000e+04 1.11370000e+04 4.05030000e+03 9.09430000e+02 3.01400000e+02 1.24790000e+02 5.97190000e+01 1.81260000e+01 7.03310000e+00 4.57140000e+00 4.41700000e+00 1.21500000e+00 3.40070000e-01 5.53860000e-02 1.50580000e-02 5.47600000e-03 2.39850000e-03 6.57900000e-04 2.43950000e-04 4.19680000e-05 1.26900000e-05 2.60670000e-06 9.37800000e-07 4.53210000e-07 2.59020000e-07 1.18020000e-07 6.93390000e-08 2.87750000e-08] M4 = [ 2.93380000e+04 1.52920000e+04 1.48920000e+04 1.40060000e+04 1.36390000e+04 9.65600000e+03 9.39820000e+03 7.64930000e+03 2.79090000e+03 6.29780000e+02 2.09550000e+02 8.70570000e+01 4.17910000e+01 1.27570000e+01 4.97550000e+00 3.24180000e+00 3.13290000e+00 8.68340000e-01 2.46700000e-01 4.08200000e-02 1.12520000e-02 4.13730000e-03 1.83130000e-03 5.10480000e-04 1.91700000e-04 3.36820000e-05 1.02400000e-05 2.07720000e-06 7.18430000e-07 3.31160000e-07 1.82050000e-07 7.60330000e-08 4.03520000e-08 1.48320000e-08] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.07890000e+05 1.99180000e+05 1.95110000e+05 1.66780000e+05 7.92200000e+04 2.57490000e+04 1.10970000e+04 5.64860000e+03 3.20960000e+03 1.28520000e+03 6.20610000e+02 4.45160000e+02 4.33500000e+02 1.59380000e+02 5.92090000e+01 1.42220000e+01 5.08390000e+00 2.27470000e+00 1.17640000e+00 4.15490000e-01 1.85970000e-01 4.40350000e-02 1.62780000e-02 4.24460000e-03 1.72810000e-03 8.97570000e-04 5.39370000e-04 2.55200000e-04 1.49470000e-04 6.31530000e-05] L3 = [ 0.00000000e+00 0.00000000e+00 4.29520000e+05 4.71730000e+05 4.75610000e+05 3.84840000e+05 3.76840000e+05 3.21670000e+05 1.51380000e+05 4.84650000e+04 2.06860000e+04 1.04490000e+04 5.89940000e+03 2.33720000e+03 1.11860000e+03 7.98970000e+02 7.77800000e+02 2.82130000e+02 1.03290000e+02 2.42210000e+01 8.48670000e+00 3.73180000e+00 1.90020000e+00 6.53310000e-01 2.85860000e-01 6.48140000e-02 2.32670000e-02 5.88730000e-03 2.38350000e-03 1.24050000e-03 7.55090000e-04 3.69000000e-04 2.24590000e-04 1.00880000e-04] M3 = [ 7.72860000e+04 5.06360000e+04 4.97600000e+04 4.77860000e+04 4.69530000e+04 3.72960000e+04 3.66240000e+04 3.18710000e+04 1.59260000e+04 5.53240000e+03 2.48540000e+03 1.30130000e+03 7.54390000e+02 3.09880000e+02 1.51790000e+02 1.09430000e+02 1.06600000e+02 3.95790000e+01 1.47610000e+01 3.53410000e+00 1.25230000e+00 5.54560000e-01 2.83350000e-01 9.80520000e-02 4.30740000e-02 9.82170000e-03 3.53610000e-03 8.97020000e-04 3.63450000e-04 1.89700000e-04 1.15520000e-04 5.65870000e-05 3.43580000e-05 1.54970000e-05] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.85020000e+04 8.51350000e+04 5.37530000e+04 2.63430000e+04 1.50290000e+04 9.47340000e+03 6.39700000e+03 3.35160000e+03 1.98740000e+03 1.56200000e+03 1.53210000e+03 7.35390000e+02 3.51690000e+02 1.19230000e+02 5.38650000e+01 2.86860000e+01 1.70060000e+01 7.36060000e+00 3.81200000e+00 1.14160000e+00 4.85880000e-01 1.49290000e-01 6.69530000e-02 3.70880000e-02 2.34690000e-02 1.20090000e-02 7.47590000e-03 3.47660000e-03] JK = 7.2396363076 M1 = [ 3.34040000e+04 2.37240000e+04 2.33950000e+04 2.26500000e+04 2.23340000e+04 1.86120000e+04 1.83480000e+04 1.64510000e+04 9.61950000e+03 4.31930000e+03 2.37650000e+03 1.47080000e+03 9.83110000e+02 5.10040000e+02 3.01150000e+02 2.36400000e+02 2.31870000e+02 1.11100000e+02 5.31480000e+01 1.80660000e+01 8.18220000e+00 4.36600000e+00 2.59250000e+00 1.12470000e+00 5.82840000e-01 1.74950000e-01 7.45640000e-02 2.29450000e-02 1.02970000e-02 5.70520000e-03 3.61070000e-03 1.84780000e-03 1.15030000e-03 5.34870000e-04] all other = [ 5.00200000e+03 3.40910000e+03 3.35640000e+03 3.23740000e+03 3.18710000e+03 2.60110000e+03 2.56010000e+03 2.26880000e+03 1.25250000e+03 5.20810000e+02 2.72310000e+02 1.62560000e+02 1.05770000e+02 5.30170000e+01 3.05270000e+01 2.37210000e+01 2.32480000e+01 1.08540000e+01 5.08840000e+00 1.69290000e+00 7.58090000e-01 4.01690000e-01 2.37380000e-01 1.02360000e-01 5.29040000e-02 1.58050000e-02 6.72020000e-03 2.06320000e-03 9.24980000e-04 5.12210000e-04 3.24070000e-04 1.65840000e-04 1.03280000e-04 4.81680000e-05] total = [ 2.27550000e+05 1.41520000e+05 5.68360000e+05 6.04540000e+05 8.13780000e+05 6.85610000e+05 7.60090000e+05 6.59540000e+05 3.26350000e+05 1.15410000e+05 5.37910000e+04 2.94220000e+04 1.78620000e+04 8.04840000e+03 4.30640000e+03 3.24450000e+03 2.34890000e+04 1.09050000e+04 4.99610000e+03 1.61010000e+03 7.04530000e+02 3.67010000e+02 2.14080000e+02 9.06140000e+01 4.62470000e+01 1.35590000e+01 5.70600000e+00 1.73320000e+00 7.73130000e-01 4.27030000e-01 2.69820000e-01 1.37920000e-01 8.58450000e-02 3.99470000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.03170000e+04 9.54190000e+03 4.39980000e+03 1.42690000e+03 6.26120000e+02 3.26640000e+02 1.90700000e+02 8.07960000e+01 4.12550000e+01 1.21010000e+01 5.09320000e+00 1.54720000e+00 6.90210000e-01 3.81250000e-01 2.40920000e-01 1.23170000e-01 7.66840000e-02 3.56980000e-02] [Ge.binding] K = 11.0667 L1 = 1.4024 M5 = 0.0382 M4 = 0.0388 M1 = 0.1793 L3 = 1.2228 M3 = 0.125 M2 = 0.1294 L2 = 1.2555 [Gd] JL1 = 1.13176068087 JL3 = 2.69403501009 JL2 = 1.34309853394 energy = [ 1.00000000e+00 1.19850000e+00 1.20800000e+00 1.23040000e+00 1.24020000e+00 1.50000000e+00 1.54020000e+00 1.55260000e+00 1.68560000e+00 1.69910000e+00 1.86330000e+00 1.87820000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 7.23520000e+00 7.29310000e+00 7.93930000e+00 8.00000000e+00 8.00290000e+00 8.34300000e+00 8.40980000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 5.02620000e+01 5.06650000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.42264266097 M5 = [ 0.00000000e+00 0.00000000e+00 3.81110000e+05 9.35090000e+05 9.72440000e+05 6.16390000e+05 5.76390000e+05 5.64820000e+05 4.57220000e+05 4.47840000e+05 3.54180000e+05 3.46920000e+05 2.94070000e+05 9.18400000e+04 3.79200000e+04 1.85120000e+04 1.01100000e+04 5.33880000e+03 5.19350000e+03 3.86460000e+03 3.76310000e+03 3.75830000e+03 3.24750000e+03 3.15750000e+03 1.70300000e+03 3.81820000e+02 1.26990000e+02 2.56400000e+01 8.02170000e+00 3.22220000e+00 3.15380000e+00 3.05230000e+00 1.52250000e+00 4.65570000e-01 1.86330000e-01 3.62740000e-02 1.17940000e-02 2.62670000e-03 9.78520000e-04 4.79380000e-04 2.77270000e-04 1.25720000e-04 7.36420000e-05 2.97210000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.44990000e+05 4.26470000e+05 3.99250000e+05 3.91370000e+05 3.17970000e+05 3.11550000e+05 2.47130000e+05 2.42050000e+05 2.05760000e+05 6.53900000e+04 2.72980000e+04 1.34470000e+04 7.39880000e+03 3.93930000e+03 3.83360000e+03 2.86350000e+03 2.78910000e+03 2.78560000e+03 2.41160000e+03 2.34570000e+03 1.27570000e+03 2.92170000e+02 9.88510000e+01 2.05170000e+01 6.56300000e+00 2.68610000e+00 2.63030000e+00 2.54740000e+00 1.28980000e+00 4.05020000e-01 1.65480000e-01 3.33270000e-02 1.10200000e-02 2.46360000e-03 9.00970000e-04 4.32510000e-04 2.44240000e-04 1.04500000e-04 5.71220000e-05 2.18600000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.27550000e+04 3.98590000e+04 2.23520000e+04 1.40550000e+04 9.56010000e+03 6.88660000e+03 4.86170000e+03 4.78860000e+03 4.07240000e+03 4.01340000e+03 4.01060000e+03 3.70240000e+03 3.64580000e+03 2.59540000e+03 1.13320000e+03 6.12260000e+02 2.46990000e+02 1.26060000e+02 7.36310000e+01 7.26970000e+01 7.12950000e+01 4.69830000e+01 2.27330000e+01 1.27810000e+01 4.39440000e+00 2.04310000e+00 6.99870000e-01 3.34470000e-01 1.92760000e-01 1.25040000e-01 6.55970000e-02 4.11170000e-02 1.89110000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.89150000e+05 1.68200000e+05 1.66550000e+05 1.45360000e+05 1.43520000e+05 1.29600000e+05 6.45680000e+04 3.64760000e+04 2.25790000e+04 1.49340000e+04 9.58430000e+03 9.40060000e+03 7.63850000e+03 7.49650000e+03 7.48980000e+03 6.75480000e+03 6.62150000e+03 4.26360000e+03 1.43890000e+03 6.37090000e+02 1.90980000e+02 7.84280000e+01 3.86620000e+01 3.80200000e+01 3.70620000e+01 2.14910000e+01 8.39740000e+00 4.02160000e+00 1.05280000e+00 4.11450000e-01 1.14260000e-01 4.83760000e-02 2.58120000e-02 1.58520000e-02 7.76940000e-03 4.68240000e-03 2.05440000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.08280000e+04 6.35330000e+04 6.29910000e+04 5.82260000e+04 3.19280000e+04 1.90110000e+04 1.22040000e+04 8.29590000e+03 5.46790000e+03 5.36950000e+03 4.41330000e+03 4.33560000e+03 4.33190000e+03 3.92930000e+03 3.85620000e+03 2.54250000e+03 9.06310000e+02 4.17370000e+02 1.32570000e+02 5.68680000e+01 2.90480000e+01 2.85910000e+01 2.79060000e+01 1.66440000e+01 6.83790000e+00 3.41090000e+00 9.63860000e-01 3.97410000e-01 1.18080000e-01 5.18630000e-02 2.82230000e-02 1.75680000e-02 8.68350000e-03 5.23460000e-03 2.28450000e-03] total = [ 5.95740000e+05 4.23950000e+05 7.98570000e+05 1.33800000e+06 1.61410000e+06 1.31400000e+06 1.23240000e+06 1.39790000e+06 1.15620000e+06 1.20600000e+06 9.82140000e+05 1.00730000e+06 8.75040000e+05 3.35290000e+05 1.64790000e+05 9.37860000e+04 5.87700000e+04 3.61610000e+04 9.74190000e+04 7.82370000e+04 1.05080000e+05 1.04990000e+05 9.47020000e+04 1.07180000e+05 6.93830000e+04 2.37600000e+04 1.09450000e+04 3.59930000e+03 1.61690000e+03 8.64650000e+02 8.52020000e+02 4.62020000e+03 2.95450000e+03 1.37280000e+03 7.47260000e+02 2.43090000e+02 1.09260000e+02 3.60430000e+01 1.69060000e+01 9.64680000e+00 6.22600000e+00 3.25210000e+00 2.03700000e+00 9.38460000e-01] JM2 = 1.04307213285 JM3 = 1.13429081467 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.78710000e+03 2.43750000e+03 1.14410000e+03 6.26040000e+02 2.04850000e+02 9.22910000e+01 3.05090000e+01 1.43280000e+01 8.18360000e+00 5.28630000e+00 2.76540000e+00 1.73420000e+00 8.00410000e-01] JM1 = 1.02561752907 M = [ 0.00000000e+00 0.00000000e+00 3.81110000e+05 9.35090000e+05 1.21740000e+06 1.04290000e+06 9.75640000e+05 1.14530000e+06 9.43400000e+05 9.96780000e+05 8.10200000e+05 8.38240000e+05 7.27510000e+05 2.76080000e+05 1.34760000e+05 7.63020000e+04 4.76250000e+04 2.91920000e+04 2.85860000e+04 2.28520000e+04 2.23980000e+04 2.23760000e+04 2.00460000e+04 1.96270000e+04 1.23800000e+04 4.15240000e+03 1.89260000e+03 6.16710000e+02 2.75940000e+02 1.47250000e+02 1.45090000e+02 1.41860000e+02 8.79300000e+01 3.88390000e+01 2.05660000e+01 6.48060000e+00 2.87480000e+00 9.37300000e-01 4.36590000e-01 2.47700000e-01 1.58980000e-01 8.22800000e-02 5.11650000e-02 2.33020000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.20030000e+04 4.98780000e+04 7.72770000e+04 7.72190000e+04 6.98050000e+04 8.27980000e+04 5.39570000e+04 1.85550000e+04 8.56400000e+03 2.82010000e+03 1.26740000e+03 6.77810000e+02 6.67910000e+02 6.53070000e+02 4.05300000e+02 1.79300000e+02 9.50220000e+01 2.99660000e+01 1.32950000e+01 4.33520000e+00 2.01980000e+00 1.14630000e+00 7.36230000e-01 3.81380000e-01 2.37360000e-01 1.08220000e-01] JM4 = 1.20635276532 JM5 = 1.88364193891 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.84050000e+04 2.83950000e+04 2.59760000e+04 2.53770000e+04 1.63280000e+04 5.30530000e+03 2.31370000e+03 6.88040000e+02 2.83960000e+02 1.41430000e+02 1.39130000e+02 1.35680000e+02 7.95740000e+01 3.19050000e+01 1.56680000e+01 4.32960000e+00 1.76410000e+00 5.17790000e-01 2.26090000e-01 1.22630000e-01 7.60680000e-02 3.74730000e-02 2.25570000e-02 9.82140000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.20030000e+04 4.98780000e+04 4.88720000e+04 4.88250000e+04 4.38290000e+04 4.29370000e+04 2.67770000e+04 8.19770000e+03 3.43030000e+03 9.63370000e+02 3.81020000e+02 1.83180000e+02 1.80050000e+02 1.75360000e+02 1.00040000e+02 3.81780000e+01 1.80100000e+01 4.61490000e+00 1.78330000e+00 4.89550000e-01 2.06110000e-01 1.09610000e-01 6.73100000e-02 3.29580000e-02 1.98590000e-02 8.67770000e-03] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.44830000e+04 1.08510000e+04 5.05240000e+03 2.82000000e+03 1.16870000e+03 6.02400000e+02 3.53200000e+02 3.48730000e+02 3.42030000e+02 2.25680000e+02 1.09220000e+02 6.13440000e+01 2.10220000e+01 9.74750000e+00 3.32780000e+00 1.58760000e+00 9.14080000e-01 5.92850000e-01 3.10950000e-01 1.94950000e-01 8.97180000e-02] all other = [ 5.95740000e+05 4.23950000e+05 4.17460000e+05 4.02880000e+05 3.96670000e+05 2.71130000e+05 2.56770000e+05 2.52580000e+05 2.12790000e+05 2.09240000e+05 1.71940000e+05 1.69020000e+05 1.47520000e+05 5.92100000e+04 3.00330000e+04 1.74840000e+04 1.11450000e+04 6.96900000e+03 6.82990000e+03 5.50630000e+03 5.40060000e+03 5.39560000e+03 4.85230000e+03 4.75440000e+03 3.04540000e+03 1.05240000e+03 4.88300000e+02 1.62530000e+02 7.36040000e+01 3.95930000e+01 3.90200000e+01 3.81610000e+01 2.37800000e+01 1.05870000e+01 5.63530000e+00 1.78940000e+00 7.96820000e-01 2.60950000e-01 1.21820000e-01 6.92050000e-02 4.44670000e-02 2.30360000e-02 1.43350000e-02 6.53240000e-03] [Gd.binding] K = 50.3123 L1 = 8.3513 M5 = 1.1996 M4 = 1.2316 M1 = 1.8652 L3 = 7.2424 M3 = 1.5418 M2 = 1.6873 L2 = 7.9473 [Ga] JL1 = 1.11063254906 JL3 = 3.83149448345 JL2 = 1.29864065581 energy = [ 1.00000000e+00 1.12090000e+00 1.12990000e+00 1.14930000e+00 1.15850000e+00 1.28950000e+00 1.29980000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.03210000e+01 1.04040000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 3.58110000e+04 2.81910000e+04 2.77140000e+04 2.67170000e+04 2.62610000e+04 2.07450000e+04 2.03780000e+04 1.46830000e+04 7.31440000e+03 2.53610000e+03 1.13950000e+03 5.96980000e+02 3.46330000e+02 1.42550000e+02 7.00020000e+01 6.32060000e+01 6.15930000e+01 1.83940000e+01 6.91470000e+00 1.68020000e+00 6.03610000e-01 2.70670000e-01 1.40390000e-01 4.96650000e-02 2.22420000e-02 5.26730000e-03 1.94680000e-03 5.07440000e-04 2.06640000e-04 1.06980000e-04 6.41910000e-05 3.03280000e-05 1.77580000e-05 7.46180000e-06] M = [ 1.92840000e+05 1.47070000e+05 1.44290000e+05 1.38520000e+05 1.35900000e+05 1.04910000e+05 1.02900000e+05 7.24410000e+04 3.52460000e+04 1.23900000e+04 5.79600000e+03 3.18560000e+03 1.94230000e+03 8.80930000e+02 4.73340000e+02 4.33270000e+02 4.23700000e+02 1.50720000e+02 6.61550000e+01 2.03890000e+01 8.74140000e+00 4.50280000e+00 2.60860000e+00 1.09460000e+00 5.56350000e-01 1.62320000e-01 6.81700000e-02 2.06630000e-02 9.20420000e-03 5.07680000e-03 3.20370000e-03 1.63400000e-03 1.01530000e-03 4.71150000e-04] L = [ 0.00000000e+00 0.00000000e+00 4.26260000e+05 5.33700000e+05 7.37820000e+05 6.40790000e+05 7.25550000e+05 5.14510000e+05 2.54580000e+05 8.93420000e+04 4.14220000e+04 2.25790000e+04 1.36720000e+04 6.13770000e+03 3.27500000e+03 2.99500000e+03 2.92820000e+03 1.03200000e+03 4.50080000e+02 1.37640000e+02 5.87430000e+01 3.01690000e+01 1.74400000e+01 7.30300000e+00 3.70480000e+00 1.07800000e+00 4.52030000e-01 1.36800000e-01 6.08870000e-02 3.35790000e-02 2.11860000e-02 1.08040000e-02 6.71300000e-03 3.11540000e-03] M5 = [ 3.33700000e+04 2.29260000e+04 2.23260000e+04 2.10940000e+04 2.05400000e+04 1.43170000e+04 1.39340000e+04 8.50920000e+03 3.06130000e+03 6.78500000e+02 2.22860000e+02 9.15990000e+01 4.35640000e+01 1.31010000e+01 5.05410000e+00 4.41140000e+00 4.26250000e+00 8.61100000e-01 2.41120000e-01 3.89100000e-02 1.05260000e-02 3.81270000e-03 1.66720000e-03 4.55010000e-04 1.68340000e-04 2.88190000e-05 8.67850000e-06 1.78100000e-06 6.41290000e-07 3.07070000e-07 1.78070000e-07 8.09360000e-08 4.66500000e-08 1.99150000e-08] M4 = [ 2.28290000e+04 1.57010000e+04 1.52910000e+04 1.44490000e+04 1.40710000e+04 9.81820000e+03 9.55600000e+03 5.84410000e+03 2.10900000e+03 4.69650000e+02 1.54830000e+02 6.38490000e+01 3.04590000e+01 9.21150000e+00 3.57030000e+00 3.11820000e+00 3.01320000e+00 6.18090000e-01 1.74630000e-01 2.86240000e-02 7.84530000e-03 2.87530000e-03 1.26900000e-03 3.52250000e-04 1.31850000e-04 2.30280000e-05 6.98040000e-06 1.40860000e-06 4.86950000e-07 2.24650000e-07 1.22630000e-07 5.07960000e-08 2.72960000e-08 9.99220000e-09] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.06650000e+05 2.18300000e+05 2.13800000e+05 1.47820000e+05 6.99280000e+04 2.24260000e+04 9.58600000e+03 4.85150000e+03 2.74440000e+03 1.09160000e+03 5.24420000e+02 4.72180000e+02 4.59820000e+02 1.33520000e+02 4.93060000e+01 1.17470000e+01 4.17670000e+00 1.86150000e+00 9.59730000e-01 3.37390000e-01 1.50510000e-01 3.54470000e-02 1.30600000e-02 3.39200000e-03 1.37780000e-03 7.14960000e-04 4.28990000e-04 2.02850000e-04 1.18800000e-04 5.00980000e-05] L3 = [ 0.00000000e+00 0.00000000e+00 4.26260000e+05 5.33700000e+05 5.31170000e+05 4.22500000e+05 4.13720000e+05 2.85090000e+05 1.33490000e+05 4.22740000e+04 1.79040000e+04 8.99640000e+03 5.05830000e+03 1.99160000e+03 9.48680000e+02 8.53120000e+02 8.30520000e+02 2.37390000e+02 8.64290000e+01 2.01160000e+01 7.01420000e+00 3.07340000e+00 1.56070000e+00 5.34370000e-01 2.33140000e-01 5.26200000e-02 1.88400000e-02 4.75420000e-03 1.92240000e-03 9.99660000e-04 6.08660000e-04 2.97340000e-04 1.80750000e-04 8.14420000e-05] M3 = [ 6.97290000e+04 5.46840000e+04 5.37440000e+04 5.17820000e+04 5.08850000e+04 4.00590000e+04 3.93400000e+04 2.82190000e+04 1.39360000e+04 4.77270000e+03 2.12530000e+03 1.10540000e+03 6.37370000e+02 2.59640000e+02 1.26410000e+02 1.13990000e+02 1.11040000e+02 3.26310000e+01 1.20910000e+01 2.86990000e+00 1.01130000e+00 4.46050000e-01 2.27200000e-01 7.82620000e-02 3.42770000e-02 7.77750000e-03 2.79200000e-03 7.06360000e-04 2.85850000e-04 1.48940000e-04 9.07150000e-05 4.44130000e-05 2.70180000e-05 1.22070000e-05] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.80270000e+04 8.16030000e+04 5.11650000e+04 2.46430000e+04 1.39330000e+04 8.73080000e+03 5.86920000e+03 3.05450000e+03 1.80180000e+03 1.66970000e+03 1.63790000e+03 6.61080000e+02 3.14350000e+02 1.05770000e+02 4.75520000e+01 2.52340000e+01 1.49190000e+01 6.43120000e+00 3.32110000e+00 9.89920000e-01 4.20130000e-01 1.28650000e-01 5.75870000e-02 3.18640000e-02 2.01490000e-02 1.03040000e-02 6.41340000e-03 2.98390000e-03] JK = 7.3145409199 M1 = [ 3.11050000e+04 2.55670000e+04 2.52160000e+04 2.44780000e+04 2.41400000e+04 1.99740000e+04 1.96910000e+04 1.51850000e+04 8.82550000e+03 3.93320000e+03 2.15350000e+03 1.32770000e+03 8.84590000e+02 4.56430000e+02 2.68310000e+02 2.48550000e+02 2.43790000e+02 9.82110000e+01 4.67330000e+01 1.57710000e+01 7.10810000e+00 3.77940000e+00 2.23810000e+00 9.65910000e-01 4.99530000e-01 1.49230000e-01 6.34150000e-02 1.94460000e-02 8.71050000e-03 4.82040000e-03 3.04850000e-03 1.55910000e-03 9.70430000e-04 4.51450000e-04] all other = [ 3.06430000e+03 2.48180000e+03 2.44500000e+03 2.36790000e+03 2.33260000e+03 1.90240000e+03 1.87350000e+03 1.41880000e+03 7.97810000e+02 3.41150000e+02 1.82090000e+02 1.10360000e+02 7.29440000e+01 3.70120000e+01 2.15240000e+01 1.99110000e+01 1.95230000e+01 7.75860000e+00 3.66210000e+00 1.22550000e+00 5.49910000e-01 2.91600000e-01 1.72360000e-01 7.42950000e-02 3.83740000e-02 1.14440000e-02 4.85940000e-03 1.48900000e-03 6.66720000e-04 3.68940000e-04 2.33350000e-04 1.19410000e-04 7.43960000e-05 3.47760000e-05] total = [ 1.95910000e+05 1.49550000e+05 5.73000000e+05 6.74590000e+05 8.76050000e+05 7.47610000e+05 8.30320000e+05 5.88370000e+05 2.90620000e+05 1.02070000e+05 4.74000000e+04 2.58750000e+04 1.56870000e+04 7.05570000e+03 3.76980000e+03 3.44820000e+03 2.52220000e+04 9.76280000e+03 4.46030000e+03 1.42670000e+03 6.21860000e+02 3.23000000e+02 1.88020000e+02 7.93400000e+01 4.04060000e+01 1.18040000e+01 4.95610000e+00 1.50130000e+00 6.68610000e-01 3.68930000e-01 2.32970000e-01 1.19010000e-01 7.40680000e-02 3.44820000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.18510000e+04 8.57240000e+03 3.94040000e+03 1.26750000e+03 5.53830000e+02 2.88030000e+02 1.67790000e+02 7.08680000e+01 3.61070000e+01 1.05520000e+01 4.43110000e+00 1.34230000e+00 5.97850000e-01 3.29910000e-01 2.08340000e-01 1.06450000e-01 6.62660000e-02 3.08610000e-02] [Ga.binding] K = 10.3312 L1 = 1.2908 M5 = 0.0269 M4 = 0.0274 M1 = 0.1578 L3 = 1.122 M3 = 0.1073 M2 = 0.111 L2 = 1.1504 [Pr] JL1 = 1.13093440698 JL3 = 2.78465057654 JL2 = 1.33759810988 energy = [ 1.00000000e+00 1.22710000e+00 1.23690000e+00 1.32460000e+00 1.33520000e+00 1.47900000e+00 1.49090000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 5.94820000e+00 5.99580000e+00 6.00000000e+00 6.43670000e+00 6.48820000e+00 6.79380000e+00 6.84820000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 4.19730000e+01 4.23090000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.64355740893 M5 = [ 1.20380000e+06 7.19990000e+05 7.06100000e+05 5.95970000e+05 5.84160000e+05 4.53830000e+05 4.44770000e+05 4.37940000e+05 1.99860000e+05 5.98530000e+04 2.40810000e+04 1.15260000e+04 6.38260000e+03 6.20940000e+03 6.19460000e+03 4.85600000e+03 4.72290000e+03 4.02020000e+03 3.90910000e+03 2.25160000e+03 1.00100000e+03 2.17170000e+02 7.05750000e+01 1.38280000e+01 4.24210000e+00 3.47550000e+00 3.36250000e+00 1.67940000e+00 7.84990000e-01 2.36260000e-01 9.35580000e-02 1.79150000e-02 5.76750000e-03 1.27060000e-03 4.67720000e-04 2.29110000e-04 1.33540000e-04 6.08880000e-05 3.46260000e-05 1.46410000e-05] M4 = [ 8.35010000e+05 4.94720000e+05 4.85350000e+05 4.10880000e+05 4.02880000e+05 3.13830000e+05 3.07600000e+05 3.02930000e+05 1.39880000e+05 4.24570000e+04 1.72530000e+04 8.32210000e+03 4.63760000e+03 4.51310000e+03 4.50240000e+03 3.53820000e+03 3.44230000e+03 2.93580000e+03 2.85560000e+03 1.65500000e+03 7.42700000e+02 1.64290000e+02 5.42360000e+01 1.09020000e+01 3.41430000e+00 2.80770000e+00 2.71810000e+00 1.37570000e+00 6.52850000e-01 2.01440000e-01 8.13260000e-02 1.60680000e-02 5.25030000e-03 1.15680000e-03 4.22650000e-04 2.00600000e-04 1.12250000e-04 4.83280000e-05 2.64820000e-05 1.00980000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.39540000e+04 5.37910000e+04 3.64300000e+04 1.95930000e+04 1.20140000e+04 8.04710000e+03 5.82660000e+03 5.73930000e+03 5.73180000e+03 5.01650000e+03 4.94080000e+03 4.52370000e+03 4.45460000e+03 3.28890000e+03 2.10270000e+03 9.00500000e+02 4.79610000e+02 1.89490000e+02 9.52710000e+01 8.47230000e+01 8.30870000e+01 5.50040000e+01 3.47660000e+01 1.65760000e+01 9.21620000e+00 3.10810000e+00 1.42670000e+00 4.80790000e-01 2.27510000e-01 1.30220000e-01 8.41400000e-02 4.39480000e-02 2.75070000e-02 1.26630000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 2.22650000e+05 2.05810000e+05 2.04120000e+05 1.77830000e+05 1.75700000e+05 1.74080000e+05 1.10940000e+05 5.23760000e+04 2.86850000e+04 1.73810000e+04 1.15430000e+04 1.13230000e+04 1.13040000e+04 9.53400000e+03 9.34980000e+03 8.34680000e+03 8.18330000e+03 5.53160000e+03 3.08720000e+03 1.00870000e+03 4.36670000e+02 1.27010000e+02 5.11320000e+01 4.38050000e+01 4.26950000e+01 2.48390000e+01 1.36500000e+01 5.24400000e+00 2.48120000e+00 6.37010000e-01 2.46050000e-01 6.74430000e-02 2.83880000e-02 1.50550000e-02 9.24740000e-03 4.54140000e-03 2.73860000e-03 1.20850000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.68470000e+04 7.87850000e+04 7.81010000e+04 7.75640000e+04 5.26200000e+04 2.67910000e+04 1.52720000e+04 9.51800000e+03 6.45510000e+03 6.33810000e+03 6.32810000e+03 5.37830000e+03 5.27920000e+03 4.73950000e+03 4.65120000e+03 3.20020000e+03 1.83220000e+03 6.26870000e+02 2.80740000e+02 8.59130000e+01 3.59520000e+01 3.10090000e+01 3.02560000e+01 1.80310000e+01 1.01840000e+01 4.09530000e+00 2.01130000e+00 5.53930000e-01 2.24730000e-01 6.54640000e-02 2.84330000e-02 1.53770000e-02 9.50810000e-03 4.66570000e-03 2.80070000e-03 1.21460000e-03] total = [ 2.47400000e+06 1.50950000e+06 1.70430000e+06 1.46580000e+06 1.52710000e+06 1.22640000e+06 1.25900000e+06 1.24260000e+06 6.45730000e+05 2.43220000e+05 1.18560000e+05 6.71170000e+04 4.28420000e+04 1.19300000e+05 1.19210000e+05 9.98880000e+04 1.33610000e+05 1.19220000e+05 1.34830000e+05 9.14900000e+04 5.09160000e+04 1.72680000e+04 7.87960000e+03 2.56220000e+03 1.14280000e+03 9.97580000e+02 5.62990000e+03 3.62110000e+03 2.23780000e+03 1.02130000e+03 5.50120000e+02 1.76100000e+02 7.83650000e+01 2.55260000e+01 1.18790000e+01 6.74190000e+00 4.33560000e+00 2.25610000e+00 1.41110000e+00 6.50800000e-01] JM2 = 1.04182016646 JM3 = 1.12904935409 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.65450000e+03 3.01330000e+03 1.87590000e+03 8.62310000e+02 4.66290000e+02 1.49930000e+02 6.68370000e+01 2.18050000e+01 1.01560000e+01 5.76840000e+00 3.71210000e+00 1.93390000e+00 1.21080000e+00 5.59270000e-01] JM1 = 1.02658186562 M = [ 2.03880000e+06 1.21470000e+06 1.41410000e+06 1.21270000e+06 1.27800000e+06 1.02430000e+06 1.06010000e+06 1.04630000e+06 5.39730000e+05 2.01070000e+05 9.73050000e+04 5.47940000e+04 3.48450000e+04 3.41230000e+04 3.40610000e+04 2.83230000e+04 2.77350000e+04 2.45660000e+04 2.40540000e+04 1.59270000e+04 8.76580000e+03 2.91750000e+03 1.32180000e+03 4.27140000e+02 1.90010000e+02 1.65820000e+02 1.62120000e+02 1.00930000e+02 6.00380000e+01 2.63530000e+01 1.38840000e+01 4.33300000e+00 1.90850000e+00 6.16120000e-01 2.85220000e-01 1.61080000e-01 1.03140000e-01 5.32640000e-02 3.31070000e-02 1.51110000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.73340000e+04 7.73270000e+04 6.50090000e+04 9.94470000e+04 8.89350000e+04 1.05170000e+05 7.17950000e+04 4.00380000e+04 1.36270000e+04 6.22400000e+03 2.02500000e+03 9.03280000e+02 7.88470000e+02 7.70900000e+02 4.80420000e+02 2.86030000e+02 1.25670000e+02 6.62310000e+01 2.06730000e+01 9.10400000e+00 2.93830000e+00 1.36020000e+00 7.68590000e-01 4.92280000e-01 2.54380000e-01 1.58210000e-01 7.22940000e-02] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.58320000e+04 3.24640000e+04 3.17350000e+04 2.14070000e+04 1.16140000e+04 3.65140000e+03 1.55590000e+03 4.48770000e+02 1.81480000e+02 1.55730000e+02 1.51820000e+02 8.89980000e+01 4.94770000e+01 1.94810000e+01 9.43890000e+00 2.55000000e+00 1.02410000e+00 2.95270000e-01 1.27620000e-01 6.86950000e-02 4.23920000e-02 2.07590000e-02 1.24330000e-02 5.40090000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.73340000e+04 7.73270000e+04 6.50090000e+04 6.36150000e+04 5.64710000e+04 5.53340000e+04 3.63890000e+04 1.91110000e+04 5.74990000e+03 2.36450000e+03 6.48670000e+02 2.52530000e+02 2.15250000e+02 2.09630000e+02 1.20020000e+02 6.49430000e+01 2.44440000e+01 1.14160000e+01 2.87700000e+00 1.10040000e+00 2.98640000e-01 1.25080000e-01 6.63110000e-02 4.06740000e-02 1.99320000e-02 1.20230000e-02 5.28400000e-03] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.81050000e+04 1.40000000e+04 9.31290000e+03 4.22550000e+03 2.30350000e+03 9.27520000e+02 4.69280000e+02 4.17490000e+02 4.09450000e+02 2.71400000e+02 1.71620000e+02 8.17400000e+01 4.53760000e+01 1.52460000e+01 6.97950000e+00 2.34440000e+00 1.10750000e+00 6.33580000e-01 4.09210000e-01 2.13690000e-01 1.33750000e-01 6.16090000e-02] all other = [ 4.35240000e+05 2.94760000e+05 2.90170000e+05 2.53160000e+05 2.49120000e+05 2.02140000e+05 1.98820000e+05 1.96320000e+05 1.06010000e+05 4.21530000e+04 2.12600000e+04 1.23230000e+04 7.99750000e+03 7.83900000e+03 7.82540000e+03 6.55620000e+03 6.42540000e+03 5.71830000e+03 5.60370000e+03 3.76670000e+03 2.11270000e+03 7.23870000e+02 3.33700000e+02 1.10050000e+02 4.95180000e+01 4.32880000e+01 4.23340000e+01 2.65040000e+01 1.58520000e+01 7.01060000e+00 3.71190000e+00 1.16620000e+00 5.15620000e-01 1.67130000e-01 7.75290000e-02 4.38530000e-02 2.81010000e-02 1.45250000e-02 9.03260000e-03 4.12630000e-03] [Pr.binding] K = 42.0148 L1 = 6.8006 M5 = 0.9347 M4 = 0.9559 M1 = 1.4805 L3 = 5.9542 M3 = 1.2283 M2 = 1.3259 L2 = 6.4431 [Pt] JL1 = 1.13206801107 JL3 = 2.50929229238 JL2 = 1.36151500106 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.12660000e+00 2.14360000e+00 2.21020000e+00 2.22790000e+00 2.63420000e+00 2.65530000e+00 3.00000000e+00 3.01960000e+00 3.04380000e+00 3.27190000e+00 3.29810000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.15550000e+01 1.16470000e+01 1.33010000e+01 1.34070000e+01 1.38550000e+01 1.39650000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 7.85770000e+01 7.92060000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.81963152191 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.60410000e+04 4.94660000e+05 4.95930000e+05 3.29380000e+05 3.22320000e+05 2.30540000e+05 2.26420000e+05 2.21470000e+05 1.82530000e+05 1.78630000e+05 1.02990000e+05 5.29130000e+04 3.00680000e+04 1.18810000e+04 5.62780000e+03 3.42540000e+03 3.33200000e+03 2.09350000e+03 2.03530000e+03 1.81210000e+03 1.76150000e+03 1.36550000e+03 4.79700000e+02 1.04440000e+02 3.43630000e+01 1.43200000e+01 6.96180000e+00 2.38420000e+00 2.30970000e+00 2.21990000e+00 9.15020000e-01 1.86410000e-01 6.20620000e-02 1.42390000e-02 5.37170000e-03 2.65030000e-03 1.54160000e-03 6.96630000e-04 4.01910000e-04 1.63690000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.93110000e+04 2.34380000e+05 2.29480000e+05 1.65260000e+05 1.62360000e+05 1.58870000e+05 1.30360000e+05 1.28290000e+05 7.50800000e+04 3.90660000e+04 2.24240000e+04 9.01030000e+03 4.32680000e+03 2.65910000e+03 2.58780000e+03 1.64080000e+03 1.59610000e+03 1.42410000e+03 1.38510000e+03 1.07920000e+03 3.87400000e+02 8.72560000e+01 2.94870000e+01 1.25650000e+01 6.22600000e+00 2.19520000e+00 2.12850000e+00 2.04790000e+00 8.64860000e-01 1.83550000e-01 6.25010000e-02 1.45430000e-02 5.44010000e-03 2.63390000e-03 1.49670000e-03 6.57190000e-04 3.60670000e-04 1.41850000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.30380000e+04 1.81790000e+04 1.30160000e+04 9.80840000e+03 6.03070000e+03 4.04390000e+03 3.09110000e+03 3.04520000e+03 2.36310000e+03 2.32700000e+03 2.18400000e+03 2.15060000e+03 1.87070000e+03 1.04920000e+03 4.46080000e+02 2.36410000e+02 1.42220000e+02 9.29600000e+01 4.87940000e+01 4.78600000e+01 4.67170000e+01 2.70390000e+01 9.78630000e+00 4.71130000e+00 1.68930000e+00 8.30770000e-01 4.87850000e-01 3.20570000e-01 1.70550000e-01 1.07450000e-01 4.93370000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.14950000e+05 9.81650000e+04 9.71730000e+04 9.59470000e+04 8.47910000e+04 8.35970000e+04 5.94660000e+04 3.91050000e+04 2.70850000e+04 1.44960000e+04 8.65220000e+03 6.11070000e+03 5.99240000e+03 4.30920000e+03 4.22380000e+03 3.88790000e+03 3.81000000e+03 3.17310000e+03 1.48560000e+03 4.80250000e+02 2.07550000e+02 1.06240000e+02 6.08250000e+01 2.62750000e+01 2.56260000e+01 2.48360000e+01 1.22780000e+01 3.38460000e+00 1.36430000e+00 3.92370000e-01 1.68940000e-01 9.07980000e-02 5.60330000e-02 2.74450000e-02 1.64480000e-02 7.12320000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.79940000e+04 3.50910000e+04 3.48250000e+04 2.67670000e+04 1.91500000e+04 1.39580000e+04 8.08060000e+03 5.08560000e+03 3.70890000e+03 3.64340000e+03 2.69850000e+03 2.64930000e+03 2.45520000e+03 2.41000000e+03 2.03860000e+03 1.01350000e+03 3.56450000e+02 1.63700000e+02 8.79510000e+01 5.24320000e+01 2.40860000e+01 2.35340000e+01 2.28610000e+01 1.19090000e+01 3.61670000e+00 1.56030000e+00 4.90130000e-01 2.22520000e-01 1.23700000e-01 7.80700000e-02 3.93680000e-02 2.40440000e-02 1.06680000e-02] total = [ 1.43230000e+06 6.39740000e+05 3.46440000e+05 3.02810000e+05 3.83580000e+05 7.72780000e+05 8.28490000e+05 7.51430000e+05 8.51040000e+05 6.33370000e+05 6.23280000e+05 6.49110000e+05 5.46790000e+05 5.60310000e+05 3.53550000e+05 2.04820000e+05 1.29950000e+05 6.25040000e+04 3.51310000e+04 2.41060000e+04 6.04890000e+04 4.22970000e+04 5.75880000e+04 5.31090000e+04 6.01230000e+04 5.00760000e+04 2.38030000e+04 8.10960000e+03 3.72440000e+03 2.02410000e+03 1.22580000e+03 5.81310000e+02 2.80170000e+03 2.70290000e+03 1.52090000e+03 5.18820000e+02 2.40020000e+02 8.21440000e+01 3.94500000e+01 2.28740000e+01 1.49250000e+01 7.89320000e+00 4.96680000e+00 2.28490000e+00] JM2 = 1.04144204852 JM3 = 1.13256058449 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.23310000e+03 2.14980000e+03 1.22330000e+03 4.22290000e+02 1.96320000e+02 6.74820000e+01 3.24920000e+01 1.88770000e+01 1.23390000e+01 6.54210000e+00 4.12440000e+00 1.90220000e+00] JM1 = 1.02472612886 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.60410000e+04 4.94660000e+05 5.55240000e+05 5.63770000e+05 6.66750000e+05 4.93960000e+05 4.85940000e+05 5.14280000e+05 4.32770000e+05 4.48380000e+05 2.82480000e+05 1.63250000e+05 1.03340000e+05 4.94990000e+04 2.77360000e+04 1.89950000e+04 1.86010000e+04 1.31050000e+04 1.28310000e+04 1.17630000e+04 1.15170000e+04 9.52700000e+03 4.41540000e+03 1.47450000e+03 6.71510000e+02 3.63300000e+02 2.19400000e+02 1.03730000e+02 1.01460000e+02 9.86810000e+01 5.30060000e+01 1.71580000e+01 7.76040000e+00 2.60060000e+00 1.23300000e+00 7.07630000e-01 4.57710000e-01 2.38720000e-01 1.48700000e-01 6.74340000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.68810000e+04 2.56360000e+04 4.12730000e+04 3.81450000e+04 4.54710000e+04 3.79450000e+04 1.81630000e+04 6.21870000e+03 2.86110000e+03 1.55620000e+03 9.42880000e+02 4.47340000e+02 4.37550000e+02 4.25610000e+02 2.29050000e+02 7.43070000e+01 3.36430000e+01 1.12860000e+01 5.35650000e+00 3.07710000e+00 1.99220000e+00 1.04080000e+00 6.49160000e-01 2.94960000e-01] JM4 = 1.07209037501 JM5 = 1.26673491628 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.61690000e+04 1.51130000e+04 1.47620000e+04 1.21700000e+04 5.77230000e+03 1.87260000e+03 8.20000000e+02 4.26140000e+02 2.47950000e+02 1.10390000e+02 1.07770000e+02 1.04580000e+02 5.33060000e+01 1.56860000e+01 6.65260000e+00 2.05310000e+00 9.23850000e-01 5.10940000e-01 3.21460000e-01 1.61540000e-01 9.83190000e-02 4.35560000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.68810000e+04 2.56360000e+04 2.51040000e+04 2.30330000e+04 2.25520000e+04 1.85890000e+04 8.07710000e+03 2.41120000e+03 9.91810000e+02 4.91330000e+02 2.74670000e+02 1.15090000e+02 1.12150000e+02 1.08580000e+02 5.25660000e+01 1.40600000e+01 5.57710000e+00 1.57810000e+00 6.74140000e-01 3.60750000e-01 2.22040000e-01 1.08630000e-01 6.50850000e-02 2.81470000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.15710000e+03 7.18610000e+03 4.31330000e+03 1.93480000e+03 1.04920000e+03 6.38780000e+02 4.20250000e+02 2.21860000e+02 2.17630000e+02 2.12450000e+02 1.23180000e+02 4.45610000e+01 2.14130000e+01 7.65530000e+00 3.75860000e+00 2.20540000e+00 1.44870000e+00 7.70650000e-01 4.85750000e-01 2.23260000e-01] all other = [ 1.43230000e+06 6.39740000e+05 3.46440000e+05 3.02810000e+05 2.97540000e+05 2.78120000e+05 2.73250000e+05 1.87660000e+05 1.84300000e+05 1.39410000e+05 1.37330000e+05 1.34830000e+05 1.14020000e+05 1.11930000e+05 7.10660000e+04 4.15660000e+04 2.66110000e+04 1.30050000e+04 7.39500000e+03 5.11090000e+03 5.00740000e+03 3.55660000e+03 3.48400000e+03 3.20020000e+03 3.13470000e+03 2.60370000e+03 1.22520000e+03 4.16480000e+02 1.91800000e+02 1.04540000e+02 6.35030000e+01 3.02400000e+01 2.95820000e+01 2.87790000e+01 1.55370000e+01 5.06750000e+00 2.30210000e+00 7.74900000e-01 3.68300000e-01 2.11670000e-01 1.37030000e-01 7.15500000e-02 4.45940000e-02 2.02330000e-02] [Pt.binding] K = 78.6555 L1 = 13.8684 M5 = 2.1287 M4 = 2.2124 M1 = 3.2752 L3 = 11.5662 M3 = 2.6368 M2 = 3.0226 L2 = 13.3141 [Pu] JL1 = 1.1326415758 JL3 = 2.31953672661 JL2 = 1.39503003072 energy = [ 1.00000000e+00 1.10490000e+00 1.11370000e+00 1.36990000e+00 1.38090000e+00 1.50000000e+00 1.53520000e+00 1.54750000e+00 2.00000000e+00 3.00000000e+00 3.77240000e+00 3.80260000e+00 3.97350000e+00 4.00000000e+00 4.00530000e+00 4.54490000e+00 4.58130000e+00 5.00000000e+00 5.54460000e+00 5.58900000e+00 5.90590000e+00 5.95320000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.80510000e+01 1.81960000e+01 2.00000000e+01 2.23520000e+01 2.25310000e+01 2.31370000e+01 2.33220000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.22440000e+02 1.23420000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.06509865669 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.65260000e+05 2.33270000e+05 2.29200000e+05 2.28420000e+05 1.65660000e+05 1.62090000e+05 1.26490000e+05 9.30130000e+04 9.09810000e+04 7.79180000e+04 7.61420000e+04 7.44250000e+04 3.11870000e+04 1.54320000e+04 4.04540000e+03 2.14300000e+03 2.08440000e+03 1.49800000e+03 1.01170000e+03 9.83360000e+02 8.94610000e+02 8.69530000e+02 3.50260000e+02 1.21000000e+02 5.22960000e+01 2.61640000e+01 8.69890000e+00 3.69860000e+00 1.70530000e+00 1.65420000e+00 7.89330000e-01 2.70950000e-01 6.37760000e-02 2.43350000e-02 1.20570000e-02 7.06640000e-03 3.20610000e-03 1.81400000e-03 7.49500000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.63300000e+05 1.66950000e+05 1.21690000e+05 1.19270000e+05 9.44440000e+04 7.04050000e+04 6.88030000e+04 5.85560000e+04 5.73000000e+04 5.60910000e+04 2.41870000e+04 1.21890000e+04 3.31110000e+03 1.78490000e+03 1.73760000e+03 1.26070000e+03 8.60990000e+02 8.37620000e+02 7.64110000e+02 7.43260000e+02 3.07500000e+02 1.09760000e+02 4.87300000e+01 2.49400000e+01 8.60330000e+00 3.76400000e+00 1.77990000e+00 1.72830000e+00 8.43760000e-01 2.98100000e-01 7.19460000e-02 2.75150000e-02 1.35200000e-02 7.85140000e-03 3.46460000e-03 1.93470000e-03 7.56920000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.11050000e+04 1.08580000e+04 7.36320000e+03 5.27490000e+03 2.66360000e+03 1.90670000e+03 1.87870000e+03 1.57560000e+03 1.27500000e+03 1.25550000e+03 1.19270000e+03 1.17440000e+03 7.13940000e+02 3.94330000e+02 2.44770000e+02 1.64070000e+02 8.57830000e+01 5.11910000e+01 3.17770000e+01 3.11820000e+01 1.95830000e+01 9.80340000e+00 3.70940000e+00 1.89000000e+00 1.13720000e+00 7.59970000e-01 4.12260000e-01 2.62010000e-01 1.20500000e-01] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.73200000e+04 5.81980000e+04 4.94300000e+04 4.87310000e+04 4.39410000e+04 4.32680000e+04 4.26150000e+04 2.43550000e+04 1.52920000e+04 6.09610000e+03 3.89450000e+03 3.81900000e+03 3.01820000e+03 2.27680000e+03 2.23090000e+03 2.08370000e+03 2.04130000e+03 1.05140000e+03 4.77820000e+02 2.53970000e+02 1.49790000e+02 6.39490000e+01 3.26610000e+01 1.76490000e+01 1.72250000e+01 9.49720000e+00 3.95650000e+00 1.17950000e+00 5.16590000e-01 2.79760000e-01 1.73270000e-01 8.47420000e-02 5.05310000e-02 2.14640000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.76360000e+04 1.66360000e+04 1.64940000e+04 1.63690000e+04 1.12080000e+04 7.92150000e+03 3.73860000e+03 2.55430000e+03 2.51200000e+03 2.05230000e+03 1.60770000e+03 1.57950000e+03 1.48880000e+03 1.46250000e+03 8.18230000e+02 4.07800000e+02 2.32630000e+02 1.45350000e+02 6.80000000e+01 3.72930000e+01 2.14970000e+01 2.10340000e+01 1.23390000e+01 5.62120000e+00 1.88650000e+00 8.90780000e-01 5.08200000e-01 3.26990000e-01 1.68760000e-01 1.04420000e-01 4.73290000e-02] total = [ 2.85050000e+06 2.39120000e+06 2.50690000e+06 1.69350000e+06 1.68930000e+06 1.43240000e+06 1.36690000e+06 1.37050000e+06 8.03280000e+05 3.28610000e+05 1.94340000e+05 4.56030000e+05 4.05490000e+05 5.62060000e+05 5.64420000e+05 4.12980000e+05 4.71960000e+05 3.79320000e+05 2.91080000e+05 3.02900000e+05 2.64250000e+05 2.70220000e+05 2.65040000e+05 1.30340000e+05 7.45220000e+04 2.64720000e+04 1.64050000e+04 3.80520000e+04 2.94510000e+04 2.18110000e+04 3.04270000e+04 2.84300000e+04 3.22010000e+04 1.69830000e+04 8.04530000e+03 4.47500000e+03 2.75850000e+03 1.27780000e+03 7.01200000e+02 4.06460000e+02 1.65230000e+03 1.00900000e+03 4.85380000e+02 1.74250000e+02 8.63560000e+01 5.11810000e+01 3.39180000e+01 1.82560000e+01 1.15740000e+01 5.32880000e+00] JM2 = 1.04060739316 JM3 = 1.14281563272 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1254.5 773.52 376.09 136.32 67.947 40.443 26.89 14.543 9.2475 4.2717] JM1 = 1.02259224219 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.65260000e+05 2.33270000e+05 3.92500000e+05 3.95380000e+05 2.87350000e+05 3.48680000e+05 2.79130000e+05 2.12850000e+05 2.26150000e+05 1.97050000e+05 2.04310000e+05 2.00360000e+05 9.82990000e+04 5.61100000e+04 1.98550000e+04 1.22830000e+04 1.20320000e+04 9.40480000e+03 7.03220000e+03 6.88680000e+03 6.42390000e+03 6.29090000e+03 3.24140000e+03 1.51070000e+03 8.32390000e+02 5.10310000e+02 2.35030000e+02 1.28610000e+02 7.44080000e+01 7.28230000e+01 4.30520000e+01 1.99500000e+01 6.91100000e+00 3.34920000e+00 1.95070000e+00 1.27520000e+00 6.72430000e-01 4.20710000e-01 1.90800000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.19830000e+04 1.68800000e+04 1.24030000e+04 2.12130000e+04 1.98340000e+04 2.37820000e+04 1.26360000e+04 6.01570000e+03 3.35520000e+03 2.07130000e+03 9.60830000e+02 5.27590000e+02 3.05930000e+02 2.99430000e+02 1.77280000e+02 8.22880000e+01 2.85670000e+01 1.38700000e+01 8.09260000e+00 5.29810000e+00 2.80110000e+00 1.75570000e+00 7.98240000e-01] JM4 = 1.38612542849 JM5 = 2.3465575795 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.07310000e+03 8.53600000e+03 8.41460000e+03 4.48820000e+03 2.11280000e+03 1.15980000e+03 7.03610000e+02 3.15930000e+02 1.68440000e+02 9.49420000e+01 9.28220000e+01 5.34400000e+01 2.37870000e+01 7.78880000e+00 3.63210000e+00 2.05720000e+00 1.31790000e+00 6.76760000e-01 4.17700000e-01 1.88680000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.19830000e+04 1.68800000e+04 1.24030000e+04 1.21400000e+04 1.12980000e+04 1.10550000e+04 5.36140000e+03 2.29990000e+03 1.17350000e+03 6.71450000e+02 2.75010000e+02 1.36620000e+02 7.22450000e+01 7.04540000e+01 3.81540000e+01 1.55520000e+01 4.53310000e+00 1.96390000e+00 1.05720000e+00 6.52540000e-01 3.17960000e-01 1.89270000e-01 8.05880000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.31220000e+03 2.78670000e+03 1.60300000e+03 1.02190000e+03 6.96260000e+02 3.69900000e+02 2.22530000e+02 1.38740000e+02 1.36160000e+02 8.56900000e+01 4.29490000e+01 1.62450000e+01 8.27370000e+00 4.97820000e+00 3.32770000e+00 1.80630000e+00 1.14880000e+00 5.28970000e-01] all other = [ 2.85050000e+06 2.39120000e+06 2.50690000e+06 1.69350000e+06 1.68930000e+06 1.43240000e+06 1.36690000e+06 1.37050000e+06 8.03280000e+05 3.28610000e+05 1.94340000e+05 1.90780000e+05 1.72220000e+05 1.69560000e+05 1.69040000e+05 1.25630000e+05 1.23290000e+05 1.00180000e+05 7.82320000e+04 7.67460000e+04 6.71960000e+04 6.59150000e+04 6.46820000e+04 3.20370000e+04 1.84120000e+04 6.61670000e+03 4.12110000e+03 4.03760000e+03 3.16590000e+03 2.37560000e+03 2.32710000e+03 2.17250000e+03 2.12800000e+03 1.10490000e+03 5.18830000e+02 2.87350000e+02 1.76850000e+02 8.19160000e+01 4.49980000e+01 2.61190000e+01 2.55660000e+01 1.51600000e+01 7.05050000e+00 2.45190000e+00 1.19030000e+00 6.94300000e-01 4.54170000e-01 2.39690000e-01 1.49990000e-01 6.80400000e-02] [Pu.binding] K = 122.5667 L1 = 23.1603 M5 = 3.7762 M4 = 3.9774 M1 = 5.9118 L3 = 18.0695 M3 = 4.5495 M2 = 5.5502 L2 = 22.3744 [C] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] L = [ 2.02800000e+03 6.55640000e+02 2.86990000e+02 8.64100000e+01 3.61610000e+01 1.82170000e+01 1.03450000e+01 4.18640000e+00 2.05700000e+00 5.56200000e-01 2.17490000e-01 5.71940000e-02 2.20240000e-02 1.04790000e-02 5.70560000e-03 2.18590000e-03 1.04010000e-03 2.72550000e-04 1.07110000e-04 3.00150000e-05 1.27990000e-05 6.88440000e-06 4.28130000e-06 2.15960000e-06 1.34390000e-06 6.36980000e-07] L2 = [ 3.16670000e+01 6.92190000e+00 2.26040000e+00 4.55000000e-01 1.45130000e-01 5.92780000e-02 2.83410000e-02 8.73550000e-03 3.47180000e-03 6.41510000e-04 1.92300000e-04 3.51200000e-05 1.05520000e-05 4.17390000e-06 1.96670000e-06 6.06480000e-07 2.47200000e-07 5.03320000e-08 1.70050000e-08 3.97000000e-09 1.51620000e-09 7.50450000e-10 4.38420000e-10 1.98660000e-10 1.13810000e-10 4.87640000e-11] L3 = [ 6.29500000e+01 1.37440000e+01 4.48560000e+00 9.01870000e-01 2.86420000e-01 1.16760000e-01 5.57530000e-02 1.71360000e-02 6.79720000e-03 1.24740000e-03 3.71850000e-04 6.72930000e-05 2.00330000e-05 7.85400000e-06 3.66660000e-06 1.11690000e-06 4.48960000e-07 8.95950000e-08 2.98690000e-08 7.01570000e-09 2.74280000e-09 1.41180000e-09 8.52450000e-10 4.20890000e-10 2.62320000e-10 1.33020000e-10] L1 = [ 1.93340000e+03 6.34970000e+02 2.80250000e+02 8.50540000e+01 3.57300000e+01 1.80410000e+01 1.02610000e+01 4.16050000e+00 2.04680000e+00 5.54310000e-01 2.16930000e-01 5.70910000e-02 2.19930000e-02 1.04670000e-02 5.70000000e-03 2.18420000e-03 1.03940000e-03 2.72410000e-04 1.07060000e-04 3.00040000e-05 1.27950000e-05 6.88220000e-06 4.28000000e-06 2.15900000e-06 1.34350000e-06 6.36800000e-07] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 4.40730000e+04 1.39470000e+04 6.01780000e+03 1.78820000e+03 7.42730000e+02 3.72150000e+02 2.10320000e+02 8.45930000e+01 4.14050000e+01 1.11340000e+01 4.34080000e+00 1.13790000e+00 4.37410000e-01 2.07890000e-01 1.13100000e-01 4.32780000e-02 2.05780000e-02 5.39700000e-03 2.12090000e-03 5.94410000e-04 2.53540000e-04 1.36370000e-04 8.48180000e-05 4.27710000e-05 2.65900000e-05 1.25530000e-05] K = [ 4.20450000e+04 1.32910000e+04 5.73080000e+03 1.70180000e+03 7.06570000e+02 3.53930000e+02 1.99980000e+02 8.04060000e+01 3.93480000e+01 1.05780000e+01 4.12330000e+00 1.08070000e+00 4.15390000e-01 1.97410000e-01 1.07400000e-01 4.10920000e-02 1.95380000e-02 5.12440000e-03 2.01380000e-03 5.64400000e-04 2.40750000e-04 1.29480000e-04 8.05370000e-05 4.06120000e-05 2.52460000e-05 1.19160000e-05] [C.binding] K = 0.291 L2 = 0.009 L3 = 0.009 L1 = 0.0176 [Pb] JL1 = 1.13244126479 JL3 = 2.4526731945 JL2 = 1.36732922732 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.48610000e+00 2.50600000e+00 2.59200000e+00 2.61280000e+00 3.00000000e+00 3.05140000e+00 3.07580000e+00 3.54640000e+00 3.57480000e+00 3.82330000e+00 3.85390000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.30260000e+01 1.31300000e+01 1.50000000e+01 1.52360000e+01 1.53580000e+01 1.58410000e+01 1.59680000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 8.82630000e+01 8.89700000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.63465434647 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.65610000e+05 4.18410000e+05 4.10990000e+05 2.88540000e+05 2.75400000e+05 2.69410000e+05 1.80820000e+05 1.76780000e+05 1.47110000e+05 1.43940000e+05 1.29880000e+05 6.75140000e+04 3.86950000e+04 1.55530000e+04 7.45130000e+03 3.02340000e+03 2.94070000e+03 1.84520000e+03 1.74590000e+03 1.69730000e+03 1.52090000e+03 1.47840000e+03 6.57310000e+02 1.45840000e+02 4.86160000e+01 2.04570000e+01 1.00210000e+01 3.23110000e+00 2.19380000e+00 2.12590000e+00 1.34240000e+00 2.76950000e-01 9.28850000e-02 2.14710000e-02 8.12630000e-03 4.01470000e-03 2.33600000e-03 1.05950000e-03 6.10680000e-04 2.45730000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.82230000e+05 2.06780000e+05 1.97730000e+05 1.93580000e+05 1.31200000e+05 1.28330000e+05 1.06390000e+05 1.04390000e+05 9.44390000e+04 4.98950000e+04 2.89780000e+04 1.18590000e+04 5.76890000e+03 2.38620000e+03 2.32240000e+03 1.47170000e+03 1.39430000e+03 1.35630000e+03 1.21820000e+03 1.18480000e+03 5.36420000e+02 1.23380000e+02 4.23020000e+01 1.82210000e+01 9.10540000e+00 3.03260000e+00 2.08220000e+00 2.01970000e+00 1.29230000e+00 2.78300000e-01 9.56120000e-02 2.24780000e-02 8.46060000e-03 4.11380000e-03 2.34520000e-03 1.03080000e-03 5.68190000e-04 2.21140000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.95550000e+04 1.84430000e+04 1.35920000e+04 1.03590000e+04 6.51500000e+03 4.42350000e+03 2.72860000e+03 2.68830000e+03 2.08680000e+03 2.02470000e+03 1.99380000e+03 1.87800000e+03 1.84930000e+03 1.18460000e+03 5.11080000e+02 2.73620000e+02 1.65900000e+02 1.09140000e+02 5.54060000e+01 4.37530000e+01 4.29190000e+01 3.23200000e+01 1.18630000e+01 5.76730000e+00 2.09540000e+00 1.03930000e+00 6.13790000e-01 4.04900000e-01 2.16360000e-01 1.36570000e-01 6.27130000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.92750000e+04 8.18640000e+04 8.08000000e+04 7.18070000e+04 7.07690000e+04 6.60830000e+04 4.41540000e+04 3.08050000e+04 1.68230000e+04 1.01700000e+04 5.41680000e+03 5.31190000e+03 3.81300000e+03 3.66580000e+03 3.59280000e+03 3.32180000e+03 3.25500000e+03 1.81160000e+03 5.97230000e+02 2.61530000e+02 1.35220000e+02 7.80220000e+01 3.22330000e+01 2.37430000e+01 2.31600000e+01 1.60710000e+01 4.49240000e+00 1.82630000e+00 5.30210000e-01 2.29330000e-01 1.23510000e-01 7.62760000e-02 3.74090000e-02 2.23460000e-02 9.63740000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.05420000e+04 2.91510000e+04 2.89440000e+04 2.78730000e+04 2.01830000e+04 1.53010000e+04 9.14610000e+03 5.88570000e+03 3.35320000e+03 3.29450000e+03 2.44450000e+03 2.35900000e+03 2.31630000e+03 2.15720000e+03 2.11770000e+03 1.24320000e+03 4.50410000e+02 2.10940000e+02 1.14990000e+02 6.93400000e+01 3.07550000e+01 2.32210000e+01 2.26960000e+01 1.62230000e+01 5.03090000e+00 2.19930000e+00 7.02110000e-01 3.21840000e-01 1.80050000e-01 1.14150000e-01 5.79000000e-02 3.54810000e-02 1.58130000e-02] total = [ 1.78840000e+06 8.06620000e+05 4.38350000e+05 2.71220000e+05 5.32030000e+05 6.65380000e+05 8.35780000e+05 6.72480000e+05 6.43510000e+05 7.29560000e+05 5.14140000e+05 5.34490000e+05 4.55270000e+05 4.66540000e+05 4.27330000e+05 2.48470000e+05 1.58220000e+05 7.66000000e+04 4.32190000e+04 2.17530000e+04 5.33530000e+04 3.72300000e+04 3.57200000e+04 4.88410000e+04 4.52880000e+04 5.12860000e+04 2.88860000e+04 9.92890000e+03 4.59320000e+03 2.50880000e+03 1.52530000e+03 6.92360000e+02 5.28130000e+02 2.44770000e+03 1.80220000e+03 6.24380000e+02 2.91180000e+02 1.00790000e+02 4.87570000e+01 2.84120000e+01 1.86040000e+01 9.87800000e+00 6.22580000e+00 2.86350000e+00] JM2 = 1.03958065896 JM3 = 1.13371975571 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1931.1 1427.9 501.97 235.43 81.931 39.761 23.226 15.239 8.1156 5.1259 2.3643] JM1 = 1.02475454126 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.65610000e+05 4.18410000e+05 5.93220000e+05 4.95320000e+05 4.73120000e+05 5.62270000e+05 3.93880000e+05 4.16450000e+05 3.54460000e+05 3.67600000e+05 3.36720000e+05 1.95340000e+05 1.24140000e+05 5.98950000e+04 3.37000000e+04 1.69080000e+04 1.65580000e+04 1.16610000e+04 1.11900000e+04 1.09560000e+04 1.00960000e+04 9.88510000e+03 5.43310000e+03 1.82790000e+03 8.37020000e+02 4.54790000e+02 2.75630000e+02 1.24660000e+02 9.49930000e+01 9.29200000e+01 6.72490000e+01 2.19420000e+01 9.98140000e+00 3.37170000e+00 1.60700000e+00 9.25470000e-01 6.00020000e-01 3.13760000e-01 1.95580000e-01 8.86300000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.20490000e+04 2.22030000e+04 2.12980000e+04 3.47180000e+04 3.22700000e+04 3.85390000e+04 2.18630000e+04 7.55710000e+03 3.50470000e+03 1.91640000e+03 1.16580000e+03 5.29490000e+02 4.03950000e+02 3.95170000e+02 2.86300000e+02 9.36530000e+01 4.26530000e+01 1.44280000e+01 6.88480000e+00 3.96960000e+00 2.57640000e+00 1.34970000e+00 8.42620000e-01 3.82620000e-01] JM4 = 1.25609426193 JM5 = 1.96161787479 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.38660000e+04 1.30580000e+04 1.27680000e+04 7.17850000e+03 2.39030000e+03 1.06310000e+03 5.59620000e+02 3.28910000e+02 1.40830000e+02 1.05180000e+02 1.02720000e+02 7.25590000e+01 2.17440000e+01 9.33050000e+00 2.92150000e+00 1.32620000e+00 7.37760000e-01 4.66110000e-01 2.35520000e-01 1.43850000e-01 6.39770000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.20490000e+04 2.22030000e+04 2.12980000e+04 2.08530000e+04 1.92120000e+04 1.88080000e+04 9.96150000e+03 3.00770000e+03 1.25080000e+03 6.24160000e+02 3.51070000e+02 1.40090000e+02 1.02110000e+02 9.95260000e+01 6.82780000e+01 1.84720000e+01 7.37910000e+00 2.10460000e+00 9.02520000e-01 4.83790000e-01 2.97930000e-01 1.45670000e-01 8.71350000e-02 3.75070000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.96310000e+03 4.72260000e+03 2.15910000e+03 1.19080000e+03 7.32580000e+02 4.85860000e+02 2.48570000e+02 1.96650000e+02 1.92920000e+02 1.45460000e+02 5.34370000e+01 2.59430000e+01 9.40180000e+00 4.65610000e+00 2.74810000e+00 1.81240000e+00 9.68510000e-01 6.11640000e-01 2.81130000e-01] all other = [ 1.78840000e+06 8.06620000e+05 4.38350000e+05 2.71220000e+05 2.66420000e+05 2.46960000e+05 2.42560000e+05 1.77160000e+05 1.70390000e+05 1.67290000e+05 1.20260000e+05 1.18040000e+05 1.00810000e+05 9.89360000e+04 9.06070000e+04 5.31330000e+04 3.40830000e+04 1.67050000e+04 9.51930000e+03 4.84470000e+03 4.74630000e+03 3.36610000e+03 3.23250000e+03 3.16630000e+03 2.92220000e+03 2.86230000e+03 1.59000000e+03 5.43810000e+02 2.51520000e+02 1.37610000e+02 8.38600000e+01 3.82180000e+01 2.91900000e+01 2.85580000e+01 2.07210000e+01 6.81290000e+00 3.11280000e+00 1.05660000e+00 5.04800000e-01 2.91150000e-01 1.88950000e-01 9.89140000e-02 6.16930000e-02 2.79700000e-02] [Pb.binding] K = 88.3511 L1 = 15.8566 M5 = 2.4886 M4 = 2.5946 M1 = 3.8271 L3 = 13.039 M3 = 3.0545 M2 = 3.55 L2 = 15.2516 [Pa] JL1 = 1.13301729821 JL3 = 2.34943538269 JL2 = 1.38788691202 energy = [ 1.00000000e+00 1.20950000e+00 1.21920000e+00 1.36290000e+00 1.37380000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.43950000e+00 3.46700000e+00 3.61220000e+00 3.64110000e+00 4.00000000e+00 4.15490000e+00 4.18810000e+00 4.99810000e+00 5.00000000e+00 5.03810000e+00 5.33660000e+00 5.37930000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.67250000e+01 1.68590000e+01 2.00000000e+01 2.03840000e+01 2.05470000e+01 2.11190000e+01 2.12880000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.13120000e+02 1.14030000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.204345816 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.01210000e+05 2.63590000e+05 2.58210000e+05 2.04870000e+05 1.85080000e+05 1.81080000e+05 1.08970000e+05 1.08840000e+05 1.06440000e+05 9.03560000e+04 8.83310000e+04 6.38240000e+04 2.65240000e+04 1.30290000e+04 3.37160000e+03 2.31730000e+03 2.25390000e+03 1.23770000e+03 1.15690000e+03 1.12460000e+03 1.01980000e+03 9.91240000e+02 2.85710000e+02 9.78690000e+01 4.20310000e+01 2.09230000e+01 6.90380000e+00 2.91950000e+00 1.81610000e+00 1.76130000e+00 6.17640000e-01 2.10930000e-01 4.93790000e-02 1.87970000e-02 9.30450000e-03 5.45210000e-03 2.47510000e-03 1.40800000e-03 5.78800000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.90910000e+05 1.48330000e+05 1.35160000e+05 1.32440000e+05 8.12990000e+04 8.12090000e+04 7.94620000e+04 6.72160000e+04 6.57750000e+04 4.83500000e+04 2.04990000e+04 1.02490000e+04 2.74360000e+03 1.90340000e+03 1.85280000e+03 1.03370000e+03 9.68110000e+02 9.41800000e+02 8.56350000e+02 8.32970000e+02 2.48520000e+02 8.78620000e+01 3.87260000e+01 1.97060000e+01 6.73920000e+00 2.93010000e+00 1.85040000e+00 1.79620000e+00 6.50070000e-01 2.28220000e-01 5.46590000e-02 2.08070000e-02 1.01910000e-02 5.90500000e-03 2.59680000e-03 1.46220000e-03 5.65010000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.27560000e+04 1.09240000e+04 7.24930000e+03 5.10990000e+03 2.54010000e+03 2.07820000e+03 2.04770000e+03 1.48350000e+03 1.43010000e+03 1.40830000e+03 1.33550000e+03 1.31500000e+03 6.63370000e+02 3.63530000e+02 2.24290000e+02 1.49640000e+02 7.76680000e+01 4.60880000e+01 3.43980000e+01 3.37500000e+01 1.74510000e+01 8.67210000e+00 3.24750000e+00 1.64310000e+00 9.83790000e-01 6.55200000e-01 3.53970000e-01 2.24560000e-01 1.03210000e-01] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.34280000e+04 5.56270000e+04 5.55910000e+04 5.48660000e+04 4.93800000e+04 4.86360000e+04 3.93460000e+04 2.23820000e+04 1.39250000e+04 5.47650000e+03 4.20150000e+03 4.12000000e+03 2.68490000e+03 2.55830000e+03 2.50680000e+03 2.33650000e+03 2.28900000e+03 9.23060000e+02 4.15730000e+02 2.19500000e+02 1.28770000e+02 5.45440000e+01 2.76970000e+01 1.89910000e+01 1.85320000e+01 7.97660000e+00 3.30350000e+00 9.78390000e-01 4.27180000e-01 2.31030000e-01 1.43040000e-01 6.99900000e-02 4.18220000e-02 1.78000000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.02700000e+04 1.90760000e+04 1.89140000e+04 1.68510000e+04 1.09860000e+04 7.50260000e+03 3.41730000e+03 2.71880000e+03 2.67300000e+03 1.83870000e+03 1.76250000e+03 1.73130000e+03 1.62760000e+03 1.59840000e+03 7.14910000e+02 3.50500000e+02 1.97590000e+02 1.22340000e+02 5.64550000e+01 3.06530000e+01 2.18140000e+01 2.13380000e+01 9.97420000e+00 4.49620000e+00 1.48950000e+00 6.97960000e-01 3.96170000e-01 2.54020000e-01 1.30490000e-01 8.05830000e-02 3.63670000e-02] total = [ 2.66060000e+06 1.87760000e+06 1.87550000e+06 1.51070000e+06 1.51650000e+06 1.27140000e+06 6.98710000e+05 2.85710000e+05 2.09110000e+05 5.06510000e+05 4.50350000e+05 6.32480000e+05 5.00550000e+05 4.55040000e+05 5.19260000e+05 3.32960000e+05 3.32630000e+05 3.46470000e+05 3.00470000e+05 3.07440000e+05 2.35410000e+05 1.15390000e+05 6.57390000e+04 2.32520000e+04 1.75340000e+04 4.11950000e+04 2.58900000e+04 2.46180000e+04 3.41670000e+04 3.18530000e+04 3.60900000e+04 1.50030000e+04 7.06440000e+03 3.90840000e+03 2.39980000e+03 1.10560000e+03 6.04250000e+02 4.32600000e+02 1.81880000e+03 9.03810000e+02 4.31150000e+02 1.53270000e+02 7.54740000e+01 4.45290000e+01 2.94150000e+01 1.57730000e+01 9.98460000e+00 4.59460000e+00] JM2 = 1.04160779244 JM3 = 1.14113045007 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1395.5 702.28 338.09 121.18 59.974 35.517 23.529 12.671 8.0427 3.713 ] JM1 = 1.02319699138 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.01210000e+05 2.63590000e+05 4.49120000e+05 3.53200000e+05 3.20240000e+05 3.86950000e+05 2.45890000e+05 2.45640000e+05 2.61040000e+05 2.26030000e+05 2.34410000e+05 1.79300000e+05 8.76400000e+04 4.98160000e+04 1.75490000e+04 1.32190000e+04 1.29470000e+04 8.27860000e+03 7.87590000e+03 7.71280000e+03 7.17570000e+03 7.02670000e+03 2.83560000e+03 1.31550000e+03 7.22140000e+02 4.41380000e+02 2.02310000e+02 1.10290000e+02 7.88690000e+01 7.71770000e+01 3.66690000e+01 1.69110000e+01 5.81950000e+00 2.80780000e+00 1.63050000e+00 1.06360000e+00 5.59520000e-01 3.49830000e-01 1.58520000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.40200000e+04 1.48900000e+04 1.41520000e+04 2.39170000e+04 2.23140000e+04 2.67490000e+04 1.12220000e+04 5.30700000e+03 2.94230000e+03 1.80870000e+03 8.34200000e+02 4.56170000e+02 3.26640000e+02 3.19650000e+02 1.52200000e+02 7.02940000e+01 2.42380000e+01 1.17140000e+01 6.81340000e+00 4.45080000e+00 2.34700000e+00 1.46990000e+00 6.67650000e-01] JM4 = 1.40441878539 JM5 = 2.4222179714 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00650000e+04 9.44920000e+03 9.30170000e+03 3.88310000e+03 1.80350000e+03 9.78630000e+02 5.88760000e+02 2.60860000e+02 1.37890000e+02 9.68190000e+01 9.46300000e+01 4.31030000e+01 1.90070000e+01 6.15160000e+00 2.84870000e+00 1.60590000e+00 1.02540000e+00 5.24270000e-01 3.23040000e-01 1.45240000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.40200000e+04 1.48900000e+04 1.41520000e+04 1.38520000e+04 1.28650000e+04 1.25900000e+04 4.69520000e+03 1.99780000e+03 1.01350000e+03 5.77460000e+02 2.34940000e+02 1.16210000e+02 7.86530000e+01 7.66920000e+01 3.22020000e+01 1.30630000e+01 3.78720000e+00 1.63660000e+00 8.80090000e-01 5.43140000e-01 2.64830000e-01 1.57990000e-01 6.73930000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.85730000e+03 2.64400000e+03 1.50570000e+03 9.50140000e+02 6.42450000e+02 3.38400000e+02 2.02070000e+02 1.51170000e+02 1.48330000e+02 7.68940000e+01 3.82240000e+01 1.42990000e+01 7.22910000e+00 4.32740000e+00 2.88230000e+00 1.55790000e+00 9.88830000e-01 4.55010000e-01] all other = [ 2.66060000e+06 1.87760000e+06 1.87550000e+06 1.51070000e+06 1.51650000e+06 1.27140000e+06 6.98710000e+05 2.85710000e+05 2.09110000e+05 2.05300000e+05 1.86760000e+05 1.83350000e+05 1.47350000e+05 1.34810000e+05 1.32310000e+05 8.70680000e+04 8.69880000e+04 8.54260000e+04 7.44380000e+04 7.30280000e+04 5.61160000e+04 2.77520000e+04 1.59230000e+04 5.70260000e+03 4.31460000e+03 4.22710000e+03 2.72060000e+03 2.59000000e+03 2.53700000e+03 2.36260000e+03 2.31430000e+03 9.44780000e+02 4.41910000e+02 2.43950000e+02 1.49740000e+02 6.90540000e+01 3.77990000e+01 2.70930000e+01 2.65150000e+01 1.26530000e+01 5.85650000e+00 2.02340000e+00 9.78160000e-01 5.68800000e-01 3.71310000e-01 1.95510000e-01 1.22270000e-01 5.54180000e-02] [Pa.binding] K = 113.2336 L1 = 21.1402 M5 = 3.4429 M4 = 3.6158 M1 = 5.3419 L3 = 16.7419 M3 = 4.159 M2 = 5.0031 L2 = 20.4041 [Pd] JL1 = 1.1252526069 JL3 = 3.27526956522 JL2 = 1.34548854605 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.16740000e+00 3.19270000e+00 3.32940000e+00 3.35610000e+00 3.57670000e+00 3.60540000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 2.42980000e+01 2.44930000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 9.67450000e+04 5.14560000e+04 3.01700000e+04 1.28860000e+04 1.14080000e+04 1.12030000e+04 1.01820000e+04 9.99770000e+03 8.62960000e+03 8.47060000e+03 6.62490000e+03 3.83150000e+03 2.40240000e+03 1.11240000e+03 5.96200000e+02 1.82000000e+02 7.55310000e+01 4.10030000e+01 3.99800000e+01 2.08920000e+01 8.17440000e+00 3.90280000e+00 2.12150000e+00 8.05800000e-01 3.79740000e-01 9.76760000e-02 3.79610000e-02 1.05300000e-02 4.43850000e-03 2.34890000e-03 1.43310000e-03 6.91030000e-04 4.09770000e-04 1.75260000e-04] M = [ 1.03690000e+06 4.04710000e+05 2.00930000e+05 7.23730000e+04 6.29640000e+04 6.16860000e+04 5.53710000e+04 5.42440000e+04 4.60110000e+04 4.50700000e+04 3.43970000e+04 1.91340000e+04 1.17800000e+04 5.42480000e+03 2.94980000e+03 9.60650000e+02 4.28860000e+02 2.47330000e+02 2.41800000e+02 1.35720000e+02 5.94580000e+01 3.11960000e+01 1.83650000e+01 7.92250000e+00 4.11490000e+00 1.24960000e+00 5.39480000e-01 1.69430000e-01 7.70990000e-02 4.30880000e-02 2.74090000e-02 1.40680000e-02 8.74080000e-03 4.01690000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.64990000e+05 1.50640000e+05 2.25810000e+05 1.94780000e+05 2.26840000e+05 1.76420000e+05 9.93290000e+04 6.18370000e+04 2.88090000e+04 1.57390000e+04 5.14290000e+03 2.29600000e+03 1.32400000e+03 1.29440000e+03 7.26320000e+02 3.18010000e+02 1.66770000e+02 9.81240000e+01 4.22900000e+01 2.19480000e+01 6.65580000e+00 2.87090000e+00 9.01090000e-01 4.09860000e-01 2.29020000e-01 1.45670000e-01 7.47940000e-02 4.64810000e-02 2.13750000e-02] M5 = [ 3.97210000e+05 1.25950000e+05 5.23150000e+04 1.39620000e+04 1.16200000e+04 1.13090000e+04 9.80190000e+03 9.53800000e+03 7.66150000e+03 7.45300000e+03 5.18820000e+03 2.33960000e+03 1.19840000e+03 4.03790000e+02 1.69400000e+02 3.32720000e+01 1.01210000e+01 4.46010000e+00 4.31190000e+00 1.81750000e+00 5.27580000e-01 2.01080000e-01 9.13660000e-02 2.63920000e-02 1.01510000e-02 1.85320000e-03 5.76920000e-04 1.23520000e-04 4.49510000e-05 2.17790000e-05 1.27240000e-05 5.76310000e-06 3.31820000e-06 1.36750000e-06] M4 = [ 2.72520000e+05 8.71040000e+04 3.63830000e+04 9.79110000e+03 8.15850000e+03 7.94170000e+03 6.88950000e+03 6.70520000e+03 5.39370000e+03 5.24780000e+03 3.66190000e+03 1.66030000e+03 8.54500000e+02 2.90320000e+02 1.22670000e+02 2.44540000e+01 7.53270000e+00 3.35130000e+00 3.24120000e+00 1.38120000e+00 4.07850000e-01 1.57700000e-01 7.25510000e-02 2.13890000e-02 8.35660000e-03 1.56310000e-03 4.94530000e-04 1.05220000e-04 3.75370000e-05 1.75840000e-05 9.75350000e-06 4.13210000e-06 2.23040000e-06 8.62810000e-07] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.80550000e+04 6.78900000e+04 6.66730000e+04 5.15450000e+04 2.79920000e+04 1.68730000e+04 7.38230000e+03 3.80180000e+03 1.09080000e+03 4.36630000e+02 2.32110000e+02 2.26130000e+02 1.15980000e+02 4.43750000e+01 2.08840000e+01 1.12370000e+01 4.21120000e+00 1.96780000e+00 5.00290000e-01 1.93310000e-01 5.31820000e-02 2.23400000e-02 1.18010000e-02 7.18960000e-03 3.45670000e-03 2.05490000e-03 8.78120000e-04] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.64990000e+05 1.50640000e+05 1.47760000e+05 1.26890000e+05 1.24380000e+05 9.42430000e+04 5.05680000e+04 2.99960000e+04 1.28590000e+04 6.51620000e+03 1.81410000e+03 7.09630000e+02 3.71140000e+02 3.61340000e+02 1.81940000e+02 6.76920000e+01 3.11100000e+01 1.63960000e+01 5.93120000e+00 2.69140000e+00 6.47090000e-01 2.40520000e-01 6.32300000e-02 2.60600000e-02 1.37090000e-02 8.38430000e-03 4.10800000e-03 2.48230000e-03 1.10430000e-03] M3 = [ 2.01620000e+05 1.02380000e+05 5.84840000e+04 2.42150000e+04 2.13530000e+04 2.09590000e+04 1.89960000e+04 1.86420000e+04 1.60170000e+04 1.57130000e+04 1.22040000e+04 6.95160000e+03 4.30610000e+03 1.95520000e+03 1.03160000e+03 3.05590000e+02 1.23930000e+02 6.61630000e+01 6.44660000e+01 3.30680000e+01 1.25750000e+01 5.86100000e+00 3.11970000e+00 1.14350000e+00 5.23270000e-01 1.27300000e-01 4.76100000e-02 1.25700000e-02 5.19460000e-03 2.73740000e-03 1.67610000e-03 8.20560000e-04 4.97430000e-04 2.21410000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.57860000e+04 3.06310000e+04 2.07690000e+04 1.49680000e+04 8.56760000e+03 5.42100000e+03 2.23800000e+03 1.14980000e+03 7.20730000e+02 7.06890000e+02 4.28410000e+02 2.05940000e+02 1.14770000e+02 7.04910000e+01 3.21480000e+01 1.72890000e+01 5.50840000e+00 2.43710000e+00 7.84680000e-01 3.61460000e-01 2.03510000e-01 1.30100000e-01 6.72300000e-02 4.19440000e-02 1.93930000e-02] JK = 6.26045474258 M1 = [ 6.87750000e+04 3.78200000e+04 2.35800000e+04 1.15200000e+04 1.04250000e+04 1.02720000e+04 9.50170000e+03 9.36140000e+03 8.30920000e+03 8.18540000e+03 6.71810000e+03 4.35060000e+03 3.01890000e+03 1.66320000e+03 1.03000000e+03 4.15340000e+02 2.11740000e+02 1.32350000e+02 1.29800000e+02 7.85650000e+01 3.77730000e+01 2.10740000e+01 1.29600000e+01 5.92540000e+00 3.19340000e+00 1.02120000e+00 4.52840000e-01 1.46100000e-01 6.73830000e-02 3.79630000e-02 2.42770000e-02 1.25470000e-02 7.82810000e-03 3.61800000e-03] all other = [ 1.17160000e+05 4.97040000e+04 2.61670000e+04 1.01510000e+04 8.91050000e+03 8.74080000e+03 7.89110000e+03 7.74010000e+03 6.62860000e+03 6.50080000e+03 5.03770000e+03 2.88780000e+03 1.81830000e+03 8.64440000e+02 4.80240000e+02 1.61460000e+02 7.34060000e+01 4.27900000e+01 4.18500000e+01 2.37120000e+01 1.05130000e+01 5.55800000e+00 3.28950000e+00 1.42920000e+00 7.45700000e-01 2.27900000e-01 9.87260000e-02 3.11260000e-02 1.41880000e-02 7.93720000e-03 5.05200000e-03 2.59520000e-03 1.61320000e-03 7.41930000e-04] total = [ 1.15400000e+06 4.54410000e+05 2.27100000e+05 8.25250000e+04 7.18750000e+04 2.35410000e+05 2.13900000e+05 2.87800000e+05 2.47420000e+05 2.78410000e+05 2.15850000e+05 1.21350000e+05 7.54360000e+04 3.50980000e+04 1.91690000e+04 6.26500000e+03 2.79830000e+03 1.61410000e+03 1.01050000e+04 5.99300000e+03 2.75950000e+03 1.49240000e+03 8.95500000e+02 3.94580000e+02 2.07280000e+02 6.37020000e+01 2.76200000e+01 8.70590000e+00 3.96980000e+00 2.22330000e+00 1.41730000e+00 7.30760000e-01 4.55800000e-01 2.10950000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.52690000e+03 5.10730000e+03 2.37150000e+03 1.28890000e+03 7.75720000e+02 3.42930000e+02 1.80470000e+02 5.55690000e+01 2.41110000e+01 7.60420000e+00 3.46860000e+00 1.94320000e+00 1.23920000e+00 6.39300000e-01 3.98960000e-01 1.84820000e-01] [Pd.binding] K = 24.3223 L1 = 3.5803 M5 = 0.3424 M4 = 0.3482 M1 = 0.6551 L3 = 3.1705 M3 = 0.5268 M2 = 0.5554 L2 = 3.3328 [Cd] JL1 = 1.14889529299 JL3 = 3.19589348538 JL2 = 1.34600457228 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.53180000e+00 3.56000000e+00 3.72730000e+00 3.75710000e+00 3.99040000e+00 4.00000000e+00 4.02240000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 2.66630000e+01 2.68760000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 1.02180000e+05 5.67310000e+04 3.39240000e+04 1.48520000e+04 1.03400000e+04 1.01540000e+04 9.14180000e+03 8.97520000e+03 7.80350000e+03 7.75990000e+03 7.65930000e+03 4.54110000e+03 2.87420000e+03 1.35030000e+03 7.31520000e+02 2.27390000e+02 9.55230000e+01 3.90380000e+01 3.80670000e+01 2.68530000e+01 1.06190000e+01 5.10920000e+00 2.79410000e+00 1.07090000e+00 5.07960000e-01 1.32050000e-01 5.16680000e-02 1.44400000e-02 6.11450000e-03 3.24740000e-03 1.98640000e-03 9.59180000e-04 5.70320000e-04 2.44180000e-04] M = [ 1.21650000e+06 4.80270000e+05 2.39360000e+05 8.66080000e+04 5.69760000e+04 5.58150000e+04 4.95610000e+04 4.85470000e+04 4.15180000e+04 4.12600000e+04 4.06660000e+04 2.29920000e+04 1.41780000e+04 6.54670000e+03 3.56680000e+03 1.16510000e+03 5.21290000e+02 2.31440000e+02 2.26260000e+02 1.65520000e+02 7.26830000e+01 3.82100000e+01 2.25320000e+01 9.74810000e+00 5.07520000e+00 1.54810000e+00 6.70570000e-01 2.11530000e-01 9.65200000e-02 5.40340000e-02 3.44050000e-02 1.76750000e-02 1.09830000e-02 5.04170000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.46140000e+05 1.30660000e+05 1.96910000e+05 1.70440000e+05 2.03290000e+05 1.98350000e+05 1.15810000e+05 7.21420000e+04 3.37870000e+04 1.85310000e+04 6.08970000e+03 2.72860000e+03 1.21170000e+03 1.18460000e+03 8.66550000e+02 3.80500000e+02 1.99990000e+02 1.17900000e+02 5.09740000e+01 2.65230000e+01 8.08110000e+00 3.49750000e+00 1.10270000e+00 5.02940000e-01 2.81510000e-01 1.79260000e-01 9.21220000e-02 5.72660000e-02 2.63020000e-02] M5 = [ 4.89070000e+05 1.58720000e+05 6.68960000e+04 1.82250000e+04 1.05260000e+04 1.02440000e+04 8.75470000e+03 8.51810000e+03 6.91940000e+03 6.86210000e+03 6.73070000e+03 3.12680000e+03 1.61570000e+03 5.51840000e+02 2.33720000e+02 4.66390000e+01 1.43490000e+01 4.30700000e+00 4.16430000e+00 2.61370000e+00 7.65020000e-01 2.93230000e-01 1.33830000e-01 3.89210000e-02 1.50460000e-02 2.76650000e-03 8.63310000e-04 1.85520000e-04 6.81680000e-05 3.33460000e-05 1.92280000e-05 8.68600000e-06 5.13910000e-06 2.16320000e-06] M4 = [ 3.35580000e+05 1.09870000e+05 4.65870000e+04 1.28060000e+04 7.42490000e+03 7.22720000e+03 6.18330000e+03 6.01730000e+03 4.89510000e+03 4.85480000e+03 4.76250000e+03 2.22490000e+03 1.15550000e+03 3.98080000e+02 1.69870000e+02 3.44290000e+01 1.07300000e+01 3.26910000e+00 3.16220000e+00 1.99710000e+00 5.95000000e-01 2.31500000e-01 1.07020000e-01 3.17870000e-02 1.24890000e-02 2.35530000e-03 7.50050000e-04 1.60550000e-04 5.72040000e-05 2.68130000e-05 1.50280000e-05 6.33020000e-06 3.42650000e-06 1.34810000e-06] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.88040000e+04 5.96870000e+04 5.93570000e+04 5.85990000e+04 3.33850000e+04 2.02310000e+04 8.93490000e+03 4.64030000e+03 1.35060000e+03 5.45760000e+02 2.15980000e+02 2.10440000e+02 1.46880000e+02 5.66980000e+01 2.68600000e+01 1.45290000e+01 5.48770000e+00 2.57910000e+00 6.61970000e-01 2.57350000e-01 7.13270000e-02 3.00950000e-02 1.59440000e-02 9.73400000e-03 4.69290000e-03 2.79470000e-03 1.19560000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.46140000e+05 1.30660000e+05 1.28110000e+05 1.10760000e+05 1.10100000e+05 1.08570000e+05 5.98590000e+04 3.57420000e+04 1.54510000e+04 7.89100000e+03 2.22510000e+03 8.78040000e+02 3.38510000e+02 3.29590000e+02 2.27600000e+02 8.53140000e+01 3.94250000e+01 2.08690000e+01 7.59900000e+00 3.46450000e+00 8.39260000e-01 3.13410000e-01 8.28210000e-02 3.42210000e-02 1.80240000e-02 1.10300000e-02 5.40390000e-03 3.26210000e-03 1.45180000e-03] M3 = [ 2.17330000e+05 1.14050000e+05 6.61880000e+04 2.79850000e+04 1.92360000e+04 1.88790000e+04 1.69370000e+04 1.66190000e+04 1.43860000e+04 1.43030000e+04 1.41110000e+04 8.23050000e+03 5.14030000e+03 2.36430000e+03 1.25950000e+03 3.79110000e+02 1.55400000e+02 6.18520000e+01 6.02680000e+01 4.20590000e+01 1.61430000e+01 7.57390000e+00 4.05220000e+00 1.49660000e+00 6.88540000e-01 1.68940000e-01 6.35100000e-02 1.68680000e-02 6.99290000e-03 3.68880000e-03 2.25800000e-03 1.10710000e-03 6.70720000e-04 2.98550000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.38370000e+04 3.11760000e+04 2.25670000e+04 1.61690000e+04 9.40150000e+03 5.99960000e+03 2.51400000e+03 1.30480000e+03 6.57170000e+02 6.44550000e+02 4.92070000e+02 2.38490000e+02 1.33710000e+02 8.25020000e+01 3.78880000e+01 2.04790000e+01 6.57980000e+00 2.92670000e+00 9.48530000e-01 4.38620000e-01 2.47550000e-01 1.58500000e-01 8.20250000e-02 5.12090000e-02 2.36550000e-02] JK = 6.14798628387 M1 = [ 7.23270000e+04 4.09030000e+04 2.57710000e+04 1.27400000e+04 9.44920000e+03 9.31030000e+03 8.54500000e+03 8.41800000e+03 7.51470000e+03 7.48070000e+03 7.40220000e+03 4.86900000e+03 3.39250000e+03 1.88210000e+03 1.17220000e+03 4.77570000e+02 2.45290000e+02 1.22970000e+02 1.20600000e+02 9.19940000e+01 4.45620000e+01 2.50020000e+01 1.54450000e+01 7.10990000e+00 3.85120000e+00 1.24200000e+00 5.53780000e-01 1.79870000e-01 8.32870000e-02 4.70380000e-02 3.01270000e-02 1.55940000e-02 9.73360000e-03 4.49540000e-03] all other = [ 1.54130000e+05 6.53830000e+04 3.43500000e+04 1.33040000e+04 8.96740000e+03 8.79460000e+03 7.86310000e+03 7.71080000e+03 6.64860000e+03 6.60940000e+03 6.51900000e+03 3.78870000e+03 2.38620000e+03 1.13590000e+03 6.32530000e+02 2.13850000e+02 9.76730000e+01 4.41580000e+01 4.31900000e+01 3.17940000e+01 1.41650000e+01 7.52240000e+00 4.46700000e+00 1.95130000e+00 1.02230000e+00 3.14670000e-01 1.36960000e-01 4.34340000e-02 1.98680000e-02 1.11390000e-02 7.09970000e-03 3.65200000e-03 2.27110000e-03 1.04410000e-03] total = [ 1.37060000e+06 5.45660000e+05 2.73720000e+05 9.99120000e+04 6.59440000e+04 2.10750000e+05 1.88090000e+05 2.53170000e+05 2.18610000e+05 2.51160000e+05 2.45530000e+05 1.42590000e+05 8.87060000e+04 4.14700000e+04 2.27300000e+04 7.46870000e+03 3.34750000e+03 1.48730000e+03 9.14390000e+03 6.88490000e+03 3.21730000e+03 1.74720000e+03 1.05160000e+03 4.66160000e+02 2.45780000e+02 7.60220000e+01 3.30960000e+01 1.04850000e+01 4.79610000e+00 2.69150000e+00 1.71810000e+00 8.86980000e-01 5.53460000e-01 2.55990000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.68990000e+03 5.82100000e+03 2.75000000e+03 1.50150000e+03 9.06710000e+02 4.03490000e+02 2.13160000e+02 6.60780000e+01 2.87910000e+01 9.12770000e+00 4.17680000e+00 2.34480000e+00 1.49730000e+00 7.73530000e-01 4.82940000e-01 2.23600000e-01] [Cd.binding] K = 26.6896 L1 = 3.9944 M5 = 0.4128 M4 = 0.42 M1 = 0.7555 L3 = 3.5353 M3 = 0.6126 M2 = 0.6479 L2 = 3.731 [Po] JL1 = 1.13292076842 JL3 = 2.42625960099 JL2 = 1.3711459443 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.68200000e+00 2.70340000e+00 2.80060000e+00 2.82300000e+00 3.00000000e+00 3.27810000e+00 3.30430000e+00 3.83710000e+00 3.86790000e+00 4.00000000e+00 4.12680000e+00 4.15990000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.38020000e+01 1.39130000e+01 1.50000000e+01 1.62820000e+01 1.64120000e+01 1.69130000e+01 1.70490000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 9.34060000e+01 9.41530000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.53995637517 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.70040000e+05 3.78290000e+05 3.70540000e+05 3.19120000e+05 2.51690000e+05 2.46190000e+05 1.61400000e+05 1.57770000e+05 1.43670000e+05 1.31890000e+05 1.29040000e+05 7.54690000e+04 4.36220000e+04 1.76400000e+04 8.50130000e+03 2.84370000e+03 2.76590000e+03 2.12740000e+03 1.59360000e+03 1.54910000e+03 1.39220000e+03 1.35330000e+03 7.62960000e+02 1.70850000e+02 5.73130000e+01 2.42310000e+01 1.19130000e+01 3.86210000e+00 2.10400000e+00 2.03920000e+00 1.61080000e+00 3.34390000e-01 1.12560000e-01 2.60090000e-02 9.90000000e-03 4.89420000e-03 2.84820000e-03 1.28850000e-03 7.42950000e-04 2.99620000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.07560000e+05 2.26410000e+05 1.81470000e+05 1.77680000e+05 1.17850000e+05 1.15240000e+05 1.04870000e+05 9.60310000e+04 9.40820000e+04 5.59830000e+04 3.27700000e+04 1.34990000e+04 6.60630000e+03 2.26380000e+03 2.20330000e+03 1.70410000e+03 1.28520000e+03 1.25020000e+03 1.12630000e+03 1.09550000e+03 6.25920000e+02 1.45440000e+02 5.02180000e+01 2.17450000e+01 1.09110000e+01 3.65650000e+00 2.02810000e+00 1.96760000e+00 1.56500000e+00 3.39460000e-01 1.17140000e-01 2.75520000e-02 1.04520000e-02 5.09240000e-03 2.90770000e-03 1.26870000e-03 7.07520000e-04 2.74500000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.78730000e+04 1.39180000e+04 1.05170000e+04 6.72430000e+03 4.60380000e+03 2.56570000e+03 2.52780000e+03 2.19420000e+03 1.87430000e+03 1.84560000e+03 1.74130000e+03 1.71460000e+03 1.25220000e+03 5.44520000e+02 2.93010000e+02 1.78330000e+02 1.17690000e+02 6.00420000e+01 4.14560000e+01 4.06670000e+01 3.51610000e+01 1.29960000e+01 6.34890000e+00 2.32210000e+00 1.15670000e+00 6.85130000e-01 4.52890000e-01 2.42550000e-01 1.53300000e-01 7.03860000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.11780000e+04 7.50870000e+04 7.40960000e+04 6.98870000e+04 6.60280000e+04 6.50620000e+04 4.64150000e+04 3.27580000e+04 1.80190000e+04 1.09670000e+04 5.10780000e+03 5.00890000e+03 4.15630000e+03 3.38220000e+03 3.31470000e+03 3.07090000e+03 3.00900000e+03 1.98930000e+03 6.61970000e+02 2.91790000e+02 1.51590000e+02 8.77990000e+01 3.64790000e+01 2.25830000e+01 2.20300000e+01 1.82640000e+01 5.14040000e+00 2.09850000e+00 6.11710000e-01 2.65320000e-01 1.43040000e-01 8.83680000e-02 4.32890000e-02 2.58690000e-02 1.11280000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.77150000e+04 2.73830000e+04 2.65180000e+04 2.63300000e+04 2.07190000e+04 1.57570000e+04 9.62730000e+03 6.27110000e+03 3.19380000e+03 3.13820000e+03 2.65530000e+03 2.20790000e+03 2.16820000e+03 2.02380000e+03 1.98690000e+03 1.36750000e+03 5.02790000e+02 2.37850000e+02 1.30610000e+02 7.92150000e+01 3.54410000e+01 2.28470000e+01 2.23350000e+01 1.88130000e+01 5.89590000e+00 2.59480000e+00 8.34800000e-01 3.84690000e-01 2.15900000e-01 1.37200000e-01 6.97320000e-02 4.28390000e-02 1.91450000e-02] total = [ 1.98190000e+06 8.99300000e+05 4.89760000e+05 2.56030000e+05 7.21510000e+05 6.10440000e+05 9.06080000e+05 7.44020000e+05 5.95080000e+05 6.74020000e+05 4.66530000e+05 4.84930000e+05 4.47540000e+05 4.14970000e+05 4.25110000e+05 2.72260000e+05 1.73800000e+05 8.43560000e+04 4.77050000e+04 2.07010000e+04 5.02260000e+04 4.10900000e+04 3.28550000e+04 4.50490000e+04 4.18520000e+04 4.74150000e+04 3.15770000e+04 1.09300000e+04 5.07820000e+03 2.78130000e+03 1.69450000e+03 7.71620000e+02 5.04300000e+02 2.28950000e+03 1.96610000e+03 6.81030000e+02 3.19350000e+02 1.11140000e+02 5.39730000e+01 3.15340000e+01 2.06860000e+01 1.10050000e+01 6.94300000e+00 3.19340000e+00] JM2 = 1.03944012175 JM3 = 1.13265443302 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1796.1 1548. 543.72 256.63 89.843 43.781 25.648 16.862 9.0001 5.6906 2.6251] JM1 = 1.02443550136 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.70040000e+05 3.78290000e+05 6.78100000e+05 5.45530000e+05 4.33150000e+05 5.15050000e+05 3.54340000e+05 3.74820000e+05 3.45810000e+05 3.20470000e+05 3.32380000e+05 2.12500000e+05 1.35430000e+05 6.55100000e+04 3.69500000e+04 1.59750000e+04 1.56440000e+04 1.28370000e+04 1.03430000e+04 1.01280000e+04 9.35460000e+03 9.15940000e+03 5.99790000e+03 2.02560000e+03 9.30170000e+02 5.06500000e+02 3.07520000e+02 1.39480000e+02 9.10180000e+01 8.90390000e+01 7.54140000e+01 2.47060000e+01 1.12720000e+01 3.82220000e+00 1.82700000e+00 1.05410000e+00 6.84210000e-01 3.58130000e-01 2.23460000e-01 1.01230000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.99520000e+04 2.44390000e+04 1.94270000e+04 3.18990000e+04 2.97030000e+04 3.55180000e+04 2.37740000e+04 8.28480000e+03 3.86090000e+03 2.11740000e+03 1.29100000e+03 5.88270000e+02 3.84550000e+02 3.76220000e+02 3.18810000e+02 1.04740000e+02 4.78460000e+01 1.62490000e+01 7.77700000e+00 4.49250000e+00 2.91960000e+00 1.53120000e+00 9.56720000e-01 4.34390000e-01] JM4 = 1.48430640194 JM5 = 2.81806819513 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.28800000e+04 1.21460000e+04 1.18940000e+04 7.88520000e+03 2.67940000e+03 1.20430000e+03 6.37880000e+02 3.76740000e+02 1.62470000e+02 1.02950000e+02 1.00560000e+02 8.41840000e+01 2.54600000e+01 1.09900000e+01 3.46460000e+00 1.58040000e+00 8.81820000e-01 5.58300000e-01 2.82600000e-01 1.73080000e-01 7.71630000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.99520000e+04 2.44390000e+04 1.94270000e+04 1.90200000e+04 1.75570000e+04 1.71860000e+04 1.10250000e+04 3.33750000e+03 1.39610000e+03 6.99460000e+02 3.94580000e+02 1.58140000e+02 9.62790000e+01 9.38470000e+01 7.73400000e+01 2.10400000e+01 8.43410000e+00 2.41320000e+00 1.03750000e+00 5.56590000e-01 3.42840000e-01 1.67410000e-01 1.00150000e-01 4.30210000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.43750000e+03 4.86390000e+03 2.26780000e+03 1.26060000e+03 7.80080000e+02 5.19650000e+02 2.67670000e+02 1.85320000e+02 1.81810000e+02 1.57290000e+02 5.82370000e+01 2.84220000e+01 1.03710000e+01 5.15910000e+00 3.05410000e+00 2.01840000e+00 1.08110000e+00 6.83490000e-01 3.14200000e-01] all other = [ 1.98190000e+06 8.99300000e+05 4.89760000e+05 2.56030000e+05 2.51470000e+05 2.32150000e+05 2.27990000e+05 1.98490000e+05 1.61930000e+05 1.58970000e+05 1.12190000e+05 1.10110000e+05 1.01730000e+05 9.44960000e+04 9.27280000e+04 5.97520000e+04 3.83780000e+04 1.88470000e+04 1.07560000e+04 4.72590000e+03 4.62990000e+03 3.81370000e+03 3.08450000e+03 3.02140000e+03 2.79460000e+03 2.73730000e+03 1.80510000e+03 6.19300000e+02 2.87090000e+02 1.57380000e+02 9.60200000e+01 4.38690000e+01 2.87290000e+01 2.81090000e+01 2.38370000e+01 7.86620000e+00 3.60370000e+00 1.22740000e+00 5.88150000e-01 3.39810000e-01 2.20790000e-01 1.15670000e-01 7.22070000e-02 3.27240000e-02] [Po.binding] K = 93.499 L1 = 16.9302 M5 = 2.6846 M4 = 2.8034 M1 = 4.131 L3 = 13.8163 M3 = 3.2813 M2 = 3.841 L2 = 16.2982 [Pm] JL1 = 1.13130755064 JL3 = 2.74749193165 JL2 = 1.33943675988 energy = [ 1.00000000e+00 1.03340000e+00 1.04170000e+00 1.05850000e+00 1.06700000e+00 1.34550000e+00 1.35630000e+00 1.46040000e+00 1.47210000e+00 1.50000000e+00 1.62400000e+00 1.63700000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 6.44520000e+00 6.49680000e+00 7.01240000e+00 7.06860000e+00 7.38780000e+00 7.44690000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 4.51800000e+01 4.55420000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.55399899477 M5 = [ 0.00000000e+00 0.00000000e+00 5.62900000e+05 1.14950000e+06 1.18900000e+06 6.60030000e+05 6.47090000e+05 5.37330000e+05 5.26530000e+05 5.01870000e+05 4.12020000e+05 4.03700000e+05 2.34470000e+05 7.15810000e+04 2.90890000e+04 1.40420000e+04 7.59670000e+03 5.94140000e+03 5.77990000e+03 4.43350000e+03 4.31190000e+03 3.69370000e+03 3.59150000e+03 2.78780000e+03 1.24850000e+03 2.74580000e+02 9.00820000e+01 1.78650000e+01 5.52480000e+00 3.34560000e+00 3.23720000e+00 2.20020000e+00 1.03270000e+00 3.12850000e-01 1.24410000e-01 2.39830000e-02 7.75210000e-03 1.71550000e-03 6.34170000e-04 3.11690000e-04 1.81220000e-04 8.17730000e-05 4.73180000e-05 1.94470000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.56770000e+05 4.55400000e+05 4.46600000e+05 3.71920000e+05 3.64560000e+05 3.47730000e+05 2.85990000e+05 2.80250000e+05 1.64280000e+05 5.08840000e+04 2.08810000e+04 1.01620000e+04 5.53640000e+03 4.34290000e+03 4.22630000e+03 3.25150000e+03 3.16330000e+03 2.71490000e+03 2.64070000e+03 2.05590000e+03 9.29900000e+02 2.08660000e+02 6.95810000e+01 1.41680000e+01 4.47570000e+00 2.73660000e+00 2.64970000e+00 1.81480000e+00 8.65220000e-01 2.68880000e-01 1.09070000e-01 2.17170000e-02 7.13040000e-03 1.58030000e-03 5.78310000e-04 2.75050000e-04 1.54420000e-04 6.68830000e-05 3.62170000e-05 1.43600000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.93440000e+04 3.82630000e+04 2.07970000e+04 1.28530000e+04 8.66190000e+03 6.19590000e+03 5.41460000e+03 5.33330000e+03 4.61240000e+03 4.54270000e+03 4.17350000e+03 4.10970000e+03 3.57480000e+03 2.29580000e+03 9.91020000e+02 5.30930000e+02 2.11560000e+02 1.07020000e+02 7.96400000e+01 7.81030000e+01 6.20820000e+01 3.93910000e+01 1.88940000e+01 1.05520000e+01 3.58660000e+00 1.65480000e+00 5.61330000e-01 2.66670000e-01 1.53090000e-01 9.90450000e-02 5.18250000e-02 3.24540000e-02 1.49350000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.09050000e+05 1.90160000e+05 1.88470000e+05 1.84210000e+05 1.64290000e+05 1.62270000e+05 1.18610000e+05 5.73200000e+04 3.17610000e+04 1.94050000e+04 1.27070000e+04 1.07040000e+04 1.05000000e+04 8.71960000e+03 8.55050000e+03 7.66580000e+03 7.51510000e+03 6.27970000e+03 3.53230000e+03 1.16940000e+03 5.10920000e+02 1.50440000e+02 6.10560000e+01 4.13730000e+01 4.03260000e+01 2.98370000e+01 1.64730000e+01 6.37200000e+00 3.02970000e+00 7.83970000e-01 3.04250000e-01 8.38360000e-02 3.53770000e-02 1.87890000e-02 1.15510000e-02 5.67010000e-03 3.41560000e-03 1.50560000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.01020000e+04 7.70950000e+04 7.23690000e+04 7.17440000e+04 5.48010000e+04 2.88810000e+04 1.67750000e+04 1.05760000e+04 7.09210000e+03 6.03300000e+03 5.92390000e+03 4.96430000e+03 4.87280000e+03 4.39370000e+03 4.31190000e+03 3.63560000e+03 2.10100000e+03 7.30840000e+02 3.31020000e+02 1.02830000e+02 4.34610000e+01 2.99840000e+01 2.92610000e+01 2.19580000e+01 1.24740000e+01 5.05940000e+00 2.50030000e+00 6.95740000e-01 2.84100000e-01 8.34160000e-02 3.63990000e-02 1.97400000e-02 1.22310000e-02 6.02160000e-03 3.62060000e-03 1.57380000e-03] total = [ 4.92460000e+05 4.63570000e+05 1.01970000e+06 1.59290000e+06 1.98260000e+06 1.39390000e+06 1.57680000e+06 1.33530000e+06 1.39170000e+06 1.33410000e+06 1.12390000e+06 1.15340000e+06 7.31370000e+05 2.77750000e+05 1.35770000e+05 7.70240000e+04 4.81450000e+04 3.99710000e+04 1.09820000e+05 9.04410000e+04 1.21140000e+05 1.08600000e+05 1.22860000e+05 1.02800000e+05 5.78950000e+04 1.96900000e+04 9.02180000e+03 2.94620000e+03 1.31750000e+03 9.35110000e+02 5.19360000e+03 4.04610000e+03 2.51310000e+03 1.15430000e+03 6.24300000e+02 2.01120000e+02 8.98420000e+01 2.94140000e+01 1.37310000e+01 7.80990000e+00 5.02950000e+00 2.62120000e+00 1.64030000e+00 7.56190000e-01] JM2 = 1.04223769939 JM3 = 1.1312145778 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.27930000e+03 3.34370000e+03 2.09420000e+03 9.69740000e+02 5.26800000e+02 1.70550000e+02 7.63390000e+01 2.50370000e+01 1.17000000e+01 6.65990000e+00 4.29220000e+00 2.23980000e+00 1.40310000e+00 6.47920000e-01] JM1 = 1.02624788682 M = [ 0.00000000e+00 0.00000000e+00 5.62900000e+05 1.14950000e+06 1.54580000e+06 1.11540000e+06 1.30270000e+06 1.09940000e+06 1.15970000e+06 1.11090000e+06 9.34660000e+05 9.67310000e+05 6.10420000e+05 2.29460000e+05 1.11360000e+05 6.28480000e+04 3.91280000e+04 3.24360000e+04 3.17630000e+04 2.59810000e+04 2.54410000e+04 2.26420000e+04 2.21690000e+04 1.83340000e+04 1.01070000e+04 3.37450000e+03 1.53250000e+03 4.96860000e+02 2.21540000e+02 1.57080000e+02 1.53580000e+02 1.17890000e+02 7.02360000e+01 3.09070000e+01 1.63160000e+01 5.11200000e+00 2.25800000e+00 7.31870000e-01 3.39660000e-01 1.92210000e-01 1.23160000e-01 6.36650000e-02 3.95740000e-02 1.80480000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.06680000e+04 5.83700000e+04 8.97340000e+04 8.06290000e+04 9.54660000e+04 8.01090000e+04 4.53410000e+04 1.54750000e+04 7.10040000e+03 2.32060000e+03 1.03790000e+03 7.36670000e+02 7.20280000e+02 5.53320000e+02 3.29980000e+02 1.45380000e+02 7.67900000e+01 2.40690000e+01 1.06310000e+01 3.44540000e+00 1.59910000e+00 9.05140000e-01 5.80370000e-01 3.00210000e-01 1.86750000e-01 8.52630000e-02] JM4 = 1.24464812606 JM5 = 2.19966779559 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.25970000e+04 2.96350000e+04 2.89640000e+04 2.41330000e+04 1.33990000e+04 4.26090000e+03 1.83150000e+03 5.35040000e+02 2.18210000e+02 1.48560000e+02 1.44850000e+02 1.07670000e+02 6.01500000e+01 2.38560000e+01 1.16210000e+01 3.16820000e+00 1.27980000e+00 3.71640000e-01 1.61310000e-01 8.70820000e-02 5.38500000e-02 2.64420000e-02 1.58640000e-02 6.90620000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.06680000e+04 5.83700000e+04 5.71370000e+04 5.09940000e+04 4.99660000e+04 4.13930000e+04 2.19790000e+04 6.65280000e+03 2.75930000e+03 7.63970000e+02 2.99260000e+02 2.00140000e+02 1.94920000e+02 1.42900000e+02 7.76100000e+01 2.93770000e+01 1.37760000e+01 3.49520000e+00 1.34240000e+00 3.66010000e-01 1.53650000e-01 8.15480000e-02 5.00430000e-02 2.45210000e-02 1.47820000e-02 6.48080000e-03] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.65370000e+04 1.45830000e+04 9.96280000e+03 4.56080000e+03 2.50960000e+03 1.02160000e+03 5.20430000e+02 3.87970000e+02 3.80500000e+02 3.02750000e+02 1.92220000e+02 9.21440000e+01 5.13930000e+01 1.74050000e+01 8.00890000e+00 2.70770000e+00 1.28420000e+00 7.36510000e-01 4.76470000e-01 2.49250000e-01 1.56110000e-01 7.18760000e-02] all other = [ 4.92460000e+05 4.63570000e+05 4.56780000e+05 4.43360000e+05 4.36810000e+05 2.78500000e+05 2.74070000e+05 2.35860000e+05 2.32030000e+05 2.23230000e+05 1.89200000e+05 1.86060000e+05 1.20950000e+05 4.82860000e+04 2.44100000e+04 1.41760000e+04 9.01730000e+03 7.53490000e+03 7.38510000e+03 6.08930000e+03 5.96740000e+03 5.33410000e+03 5.22680000e+03 4.35310000e+03 2.44690000e+03 8.41380000e+02 3.88860000e+02 1.28730000e+02 5.80710000e+01 4.13560000e+01 4.04440000e+01 3.11450000e+01 1.86600000e+01 8.27420000e+00 4.39030000e+00 1.38510000e+00 6.14260000e-01 1.99940000e-01 9.29890000e-02 5.26850000e-02 3.37960000e-02 1.74860000e-02 1.08760000e-02 4.96350000e-03] [Pm.binding] K = 45.2257 L1 = 7.3952 M5 = 1.0345 M4 = 1.0596 M1 = 1.6256 L3 = 6.4517 M3 = 1.3469 M2 = 1.4619 L2 = 7.0195 [Ho] JL1 = 1.13197707874 JL3 = 2.65231124339 JL2 = 1.34531700394 energy = [ 1.00000000e+00 1.35370000e+00 1.36460000e+00 1.39380000e+00 1.40500000e+00 1.50000000e+00 1.72680000e+00 1.74060000e+00 1.90890000e+00 1.92410000e+00 2.00000000e+00 2.10120000e+00 2.11800000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 8.05340000e+00 8.11790000e+00 8.92010000e+00 8.99150000e+00 9.35280000e+00 9.42770000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 5.56550000e+01 5.61010000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.29270670327 M5 = [ 0.00000000e+00 0.00000000e+00 3.68890000e+05 8.72580000e+05 8.82570000e+05 7.54430000e+05 5.22790000e+05 5.12130000e+05 4.02760000e+05 3.94400000e+05 3.56110000e+05 3.14730000e+05 3.08200000e+05 1.15880000e+05 4.84860000e+04 2.39320000e+04 1.31890000e+04 4.97980000e+03 4.86660000e+03 4.73410000e+03 3.40830000e+03 3.31430000e+03 2.88560000e+03 2.80550000e+03 2.27640000e+03 5.19640000e+02 1.75070000e+02 3.59690000e+01 1.13810000e+01 4.60970000e+00 2.97940000e+00 2.88410000e+00 2.19220000e+00 6.76690000e-01 2.72570000e-01 5.35830000e-02 1.75210000e-02 3.92670000e-03 1.46700000e-03 7.17080000e-04 4.15600000e-04 1.90340000e-04 1.10050000e-04 4.52940000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.28940000e+05 5.22600000e+05 3.63850000e+05 3.56550000e+05 2.81540000e+05 2.75790000e+05 2.49440000e+05 2.20810000e+05 2.16210000e+05 8.26900000e+04 3.50290000e+04 1.74530000e+04 9.69590000e+03 3.70930000e+03 3.62620000e+03 3.52900000e+03 2.55280000e+03 2.48330000e+03 2.16620000e+03 2.10700000e+03 1.71510000e+03 4.00410000e+02 1.37350000e+02 2.90440000e+01 9.40550000e+00 3.88430000e+00 2.53510000e+00 2.45580000e+00 1.87840000e+00 5.95950000e-01 2.45250000e-01 4.99550000e-02 1.66340000e-02 3.74980000e-03 1.37830000e-03 6.64960000e-04 3.75580000e-04 1.60690000e-04 8.85440000e-05 3.38660000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.81540000e+04 2.35900000e+04 1.51890000e+04 1.04510000e+04 7.58100000e+03 4.46180000e+03 4.40580000e+03 4.33960000e+03 3.62500000e+03 3.57000000e+03 3.30920000e+03 3.25850000e+03 2.90470000e+03 1.28320000e+03 6.98880000e+02 2.85290000e+02 1.46840000e+02 8.63470000e+01 6.65900000e+01 6.53070000e+01 5.53960000e+01 2.70330000e+01 1.52980000e+01 5.31940000e+00 2.49190000e+00 8.62020000e-01 4.14460000e-01 2.39780000e-01 1.56010000e-01 8.20440000e-02 5.14780000e-02 2.36650000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.75060000e+05 1.51390000e+05 1.49770000e+05 1.41560000e+05 1.30920000e+05 1.29230000e+05 7.21400000e+04 4.14380000e+04 2.59670000e+04 1.73330000e+04 8.82480000e+03 8.68330000e+03 8.51640000e+03 6.75870000e+03 6.62640000e+03 6.00660000e+03 5.88760000e+03 5.07370000e+03 1.74470000e+03 7.82320000e+02 2.38610000e+02 9.91230000e+01 4.92790000e+01 3.50650000e+01 3.41840000e+01 2.75750000e+01 1.08810000e+01 5.24820000e+00 1.38970000e+00 5.46870000e-01 1.53040000e-01 6.50360000e-02 3.47610000e-02 2.13620000e-02 1.04700000e-02 6.30980000e-03 2.75540000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.30920000e+04 5.90010000e+04 5.65160000e+04 5.60320000e+04 3.44030000e+04 2.11590000e+04 1.38400000e+04 9.54100000e+03 5.09140000e+03 5.01530000e+03 4.92550000e+03 3.96490000e+03 3.89190000e+03 3.54900000e+03 3.48310000e+03 3.02980000e+03 1.10650000e+03 5.17950000e+02 1.68190000e+02 7.32140000e+01 3.78060000e+01 2.74120000e+01 2.67610000e+01 2.18470000e+01 9.09120000e+00 4.57730000e+00 1.31350000e+00 5.46860000e-01 1.64410000e-01 7.27280000e-02 3.97620000e-02 2.48310000e-02 1.23230000e-02 7.44510000e-03 3.26350000e-03] total = [ 7.13610000e+05 3.96450000e+05 7.59010000e+05 1.24630000e+06 1.47930000e+06 1.59870000e+06 1.12620000e+06 1.27930000e+06 1.02900000e+06 1.07300000e+06 9.80770000e+05 8.79740000e+05 9.01870000e+05 3.98810000e+05 1.96900000e+05 1.12390000e+05 7.05820000e+04 3.35040000e+04 3.29260000e+04 8.73300000e+04 6.83430000e+04 9.19430000e+04 8.34160000e+04 9.44250000e+04 8.14300000e+04 2.83470000e+04 1.31370000e+04 4.34950000e+03 1.96230000e+03 1.05280000e+03 7.79620000e+02 4.12630000e+03 3.45870000e+03 1.61950000e+03 8.85770000e+02 2.90780000e+02 1.31450000e+02 4.36990000e+01 2.05980000e+01 1.17920000e+01 7.62740000e+00 3.99390000e+00 2.50390000e+00 1.15300000e+00] JM2 = 1.04275996113 JM3 = 1.13594388208 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.36400000e+03 2.82750000e+03 1.33910000e+03 7.36700000e+02 2.43480000e+02 1.10360000e+02 3.67810000e+01 1.73620000e+01 9.95090000e+00 6.44310000e+00 3.37950000e+00 2.12140000e+00 9.78840000e-01] JM1 = 1.02515515948 M = [ 0.00000000e+00 0.00000000e+00 3.68890000e+05 8.72580000e+05 1.11150000e+06 1.27700000e+06 8.86640000e+05 1.04370000e+06 8.35690000e+05 8.83060000e+05 8.06110000e+05 7.22970000e+05 7.47830000e+05 3.28700000e+05 1.61300000e+05 9.16420000e+04 5.73400000e+04 2.70670000e+04 2.65970000e+04 2.60450000e+04 2.03100000e+04 1.98860000e+04 1.79160000e+04 1.75420000e+04 1.50000000e+04 5.05440000e+03 2.31160000e+03 7.57100000e+02 3.39970000e+02 1.81930000e+02 1.34580000e+02 1.31590000e+02 1.08890000e+02 4.82780000e+01 2.56410000e+01 8.12610000e+00 3.61980000e+00 1.18710000e+00 5.55070000e-01 3.15690000e-01 2.02990000e-01 1.05190000e-01 6.54320000e-02 2.97630000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.50830000e+04 4.31550000e+04 6.72760000e+04 6.11770000e+04 7.26480000e+04 6.27900000e+04 2.20270000e+04 1.02360000e+04 3.39520000e+03 1.53260000e+03 8.22440000e+02 6.09100000e+02 5.95610000e+02 4.93130000e+02 2.19080000e+02 1.16480000e+02 3.69550000e+01 1.64680000e+01 5.40250000e+00 2.52700000e+00 1.43790000e+00 9.25020000e-01 4.79970000e-01 2.98840000e-01 1.36130000e-01] JM4 = 1.18695338201 JM5 = 1.91451633245 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.50200000e+04 2.30190000e+04 2.24900000e+04 1.92690000e+04 6.49600000e+03 2.87540000e+03 8.71850000e+02 3.64500000e+02 1.83150000e+02 1.31250000e+02 1.28030000e+02 1.03790000e+02 4.20700000e+01 2.08260000e+01 5.83290000e+00 2.39720000e+00 7.11170000e-01 3.12530000e-01 1.70240000e-01 1.05920000e-01 5.23940000e-02 3.16180000e-02 1.38150000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.50830000e+04 4.31550000e+04 4.22570000e+04 3.81580000e+04 3.73790000e+04 3.19880000e+04 9.95870000e+03 4.21530000e+03 1.19880000e+03 4.78210000e+02 2.31510000e+02 1.62840000e+02 1.58620000e+02 1.27100000e+02 4.88880000e+01 2.31970000e+01 6.00160000e+00 2.33290000e+00 6.44730000e-01 2.72330000e-01 1.45060000e-01 8.91310000e-02 4.36330000e-02 2.62630000e-02 1.14840000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.27790000e+04 1.15330000e+04 5.57270000e+03 3.14560000e+03 1.32460000e+03 6.89900000e+02 4.07780000e+02 3.15010000e+02 3.08960000e+02 2.62250000e+02 1.28120000e+02 7.24520000e+01 2.51200000e+01 1.17380000e+01 4.04660000e+00 1.94210000e+00 1.12260000e+00 7.29970000e-01 3.83950000e-01 2.40950000e-01 1.10840000e-01] all other = [ 7.13610000e+05 3.96450000e+05 3.90130000e+05 3.73740000e+05 3.67740000e+05 3.21640000e+05 2.39590000e+05 2.35560000e+05 1.93280000e+05 1.89970000e+05 1.74670000e+05 1.56770000e+05 1.54040000e+05 7.01060000e+04 3.55960000e+04 2.07440000e+04 1.32420000e+04 6.43650000e+03 6.32890000e+03 6.20220000e+03 4.87930000e+03 4.78090000e+03 4.32240000e+03 4.23490000e+03 3.63990000e+03 1.26480000e+03 5.89110000e+02 1.97200000e+02 8.96800000e+01 4.83950000e+01 3.59320000e+01 3.51440000e+01 2.91430000e+01 1.30290000e+01 6.95810000e+00 2.22280000e+00 9.94480000e-01 3.27690000e-01 1.53590000e-01 8.74800000e-02 5.63000000e-02 2.92130000e-02 1.81840000e-02 8.27700000e-03] [Ho.binding] K = 55.711 L1 = 9.3622 M5 = 1.3551 M4 = 1.3952 M1 = 2.1033 L3 = 8.0614 M3 = 1.7285 M2 = 1.9108 L2 = 8.929 [Hf] JL1 = 1.13223262545 JL3 = 2.58342728298 JL2 = 1.35133111785 energy = [ 1.00000000e+00 1.50000000e+00 1.66690000e+00 1.68020000e+00 1.72380000e+00 1.73760000e+00 2.00000000e+00 2.09690000e+00 2.11370000e+00 2.35630000e+00 2.37520000e+00 2.57460000e+00 2.59520000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 9.54840000e+00 9.62490000e+00 1.00000000e+01 1.07530000e+01 1.08390000e+01 1.12380000e+01 1.13280000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 6.54380000e+01 6.59620000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.07894620454 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.23900000e+05 6.72390000e+05 6.79890000e+05 4.85630000e+05 4.28480000e+05 4.19530000e+05 3.14060000e+05 3.07400000e+05 2.49070000e+05 2.43820000e+05 1.63270000e+05 7.01310000e+04 3.52380000e+04 1.96970000e+04 7.60030000e+03 4.14790000e+03 4.03490000e+03 3.53300000e+03 2.73950000e+03 2.66360000e+03 2.34500000e+03 2.27980000e+03 8.29600000e+02 2.85120000e+02 6.02130000e+01 1.94040000e+01 7.96390000e+00 3.82660000e+00 2.69690000e+00 2.61150000e+00 1.19920000e+00 4.88230000e-01 9.75520000e-02 3.21940000e-02 7.28700000e-03 2.73490000e-03 1.34640000e-03 7.82120000e-04 3.55590000e-04 2.02990000e-04 8.55110000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.43090000e+05 3.40860000e+05 3.01380000e+05 2.95190000e+05 2.22010000e+05 2.17370000e+05 1.76530000e+05 1.72800000e+05 1.16860000e+05 5.08820000e+04 2.58430000e+04 1.45770000e+04 5.70800000e+03 3.14590000e+03 3.06150000e+03 2.68670000e+03 2.09220000e+03 2.03520000e+03 1.79540000e+03 1.74630000e+03 6.46680000e+02 2.26650000e+02 4.93750000e+01 1.63100000e+01 6.83410000e+00 3.34260000e+00 2.37630000e+00 2.30290000e+00 1.07840000e+00 4.49120000e-01 9.32150000e-02 3.13900000e-02 7.17310000e-03 2.65800000e-03 1.27860000e-03 7.28170000e-04 3.14810000e-04 1.75180000e-04 6.59890000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.04180000e+04 2.56660000e+04 1.67560000e+04 1.17790000e+04 8.67790000e+03 5.20040000e+03 3.74280000e+03 3.68680000e+03 3.42810000e+03 2.98240000e+03 2.93700000e+03 2.73940000e+03 2.69740000e+03 1.54510000e+03 8.52830000e+02 3.54700000e+02 1.85070000e+02 1.09980000e+02 7.11790000e+01 5.76900000e+01 5.65810000e+01 3.52130000e+01 2.01360000e+01 7.13220000e+00 3.38320000e+00 1.18960000e+00 5.77760000e-01 3.36480000e-01 2.19890000e-01 1.16220000e-01 7.30570000e-02 3.35580000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.49350000e+05 1.24600000e+05 1.23130000e+05 1.08070000e+05 1.06620000e+05 8.32160000e+04 4.97000000e+04 3.18410000e+04 2.16070000e+04 1.12580000e+04 7.37690000e+03 7.23450000e+03 6.58650000e+03 5.50310000e+03 5.39480000e+03 4.92770000e+03 4.82960000e+03 2.33410000e+03 1.06780000e+03 3.34730000e+02 1.41650000e+02 7.13860000e+01 4.03730000e+01 3.06980000e+01 2.99320000e+01 1.61870000e+01 7.89740000e+00 2.13050000e+00 8.47850000e-01 2.40250000e-01 1.02720000e-01 5.50260000e-02 3.39420000e-02 1.66130000e-02 9.99430000e-03 4.34030000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.12130000e+04 4.58100000e+04 4.54310000e+04 3.74110000e+04 2.43680000e+04 1.64770000e+04 1.16350000e+04 6.43030000e+03 4.35410000e+03 4.27660000e+03 3.92250000e+03 3.32000000e+03 3.25900000e+03 2.99550000e+03 2.94010000e+03 1.49330000e+03 7.18190000e+02 2.41810000e+02 1.07850000e+02 5.67070000e+01 3.32360000e+01 2.57140000e+01 2.51120000e+01 1.41270000e+01 7.22360000e+00 2.12680000e+00 8.99920000e-01 2.75960000e-01 1.23510000e-01 6.80140000e-02 4.26750000e-02 2.13440000e-02 1.29590000e-02 5.70990000e-03] total = [ 9.85300000e+05 4.38200000e+05 3.50990000e+05 5.69000000e+05 9.99150000e+05 1.14420000e+06 1.06340000e+06 9.43430000e+05 1.07390000e+06 8.25430000e+05 8.60960000e+05 7.14400000e+05 7.31590000e+05 5.21450000e+05 2.60140000e+05 1.49380000e+05 9.42230000e+04 4.49910000e+04 2.83840000e+04 7.33280000e+04 6.69180000e+04 5.47660000e+04 7.40070000e+04 6.77140000e+04 7.66680000e+04 3.73840000e+04 1.74400000e+04 5.84980000e+03 2.65940000e+03 1.43490000e+03 8.64130000e+02 6.78310000e+02 3.44510000e+03 2.07340000e+03 1.14940000e+03 3.83730000e+02 1.75240000e+02 5.90170000e+01 2.80500000e+01 1.61480000e+01 1.04860000e+01 5.51450000e+00 3.46270000e+00 1.59350000e+00] JM2 = 1.04304423149 JM3 = 1.1382932491 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.78180000e+03 1.68680000e+03 9.42750000e+02 3.17500000e+02 1.45510000e+02 4.91640000e+01 2.34110000e+01 1.34980000e+01 8.77620000e+00 4.62480000e+00 2.90850000e+00 1.34150000e+00] JM1 = 1.02406215006 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.23900000e+05 6.72390000e+05 8.22980000e+05 8.26490000e+05 7.29860000e+05 8.64060000e+05 6.60660000e+05 6.99110000e+05 5.79480000e+05 5.99090000e+05 4.26430000e+05 2.11840000e+05 1.21180000e+05 7.61930000e+04 3.61970000e+04 2.27670000e+04 2.22940000e+04 2.01570000e+04 1.66370000e+04 1.62900000e+04 1.48030000e+04 1.44930000e+04 6.84880000e+03 3.15060000e+03 1.04080000e+03 4.70280000e+02 2.52880000e+02 1.51960000e+02 1.19170000e+02 1.16540000e+02 6.78040000e+01 3.61940000e+01 1.15800000e+01 5.19450000e+00 1.72020000e+00 8.09390000e-01 4.62150000e-01 2.98020000e-01 1.54840000e-01 9.63880000e-02 4.37600000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.55300000e+04 4.17700000e+04 3.39840000e+04 5.36570000e+04 4.92110000e+04 5.85500000e+04 2.87870000e+04 1.34700000e+04 4.53240000e+03 2.06240000e+03 1.11340000e+03 6.70630000e+02 5.26460000e+02 5.14860000e+02 3.00040000e+02 1.60400000e+02 5.14050000e+01 2.30730000e+01 7.64630000e+00 3.60010000e+00 2.05700000e+00 1.32740000e+00 6.90730000e-01 4.30390000e-01 1.95760000e-01] JM4 = 1.14517339739 JM5 = 1.62112880709 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.03720000e+04 1.89050000e+04 1.84650000e+04 8.93420000e+03 4.02350000e+03 1.25780000e+03 5.36900000e+02 2.73920000e+02 1.57090000e+02 1.20380000e+02 1.17470000e+02 6.48310000e+01 3.25220000e+01 9.31480000e+00 3.88350000e+00 1.17280000e+00 5.20940000e-01 2.85620000e-01 1.78740000e-01 8.90150000e-02 5.39460000e-02 2.37100000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.55300000e+04 4.17700000e+04 3.39840000e+04 3.32850000e+04 3.03060000e+04 2.96810000e+04 1.34510000e+04 5.77020000e+03 1.67760000e+03 6.78750000e+02 3.32150000e+02 1.83900000e+02 1.38530000e+02 1.34970000e+02 7.16500000e+01 3.43170000e+01 9.01700000e+00 3.53870000e+00 9.88610000e-01 4.19800000e-01 2.24020000e-01 1.37860000e-01 6.74530000e-02 4.05290000e-02 1.76280000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.04030000e+04 6.40130000e+03 3.67640000e+03 1.59700000e+03 8.46790000e+02 5.07290000e+02 3.29640000e+02 2.67540000e+02 2.62420000e+02 1.63560000e+02 9.35640000e+01 3.30730000e+01 1.56510000e+01 5.48500000e+00 2.65930000e+00 1.54740000e+00 1.01080000e+00 5.34270000e-01 3.35910000e-01 1.54430000e-01] all other = [ 9.85300000e+05 4.38200000e+05 3.50990000e+05 3.45100000e+05 3.26760000e+05 3.21240000e+05 2.36950000e+05 2.13570000e+05 2.09840000e+05 1.64770000e+05 1.61850000e+05 1.34930000e+05 1.32500000e+05 9.50270000e+04 4.83060000e+04 2.82000000e+04 1.80300000e+04 8.79390000e+03 5.61610000e+03 5.50310000e+03 4.99130000e+03 4.14430000e+03 4.06030000e+03 3.70020000e+03 3.62500000e+03 1.74840000e+03 8.18980000e+02 2.76550000e+02 1.26640000e+02 6.86950000e+01 4.15440000e+01 3.26730000e+01 3.19580000e+01 1.87000000e+01 1.00400000e+01 3.24030000e+00 1.46050000e+00 4.86020000e-01 2.29280000e-01 1.31120000e-01 8.46360000e-02 4.40390000e-02 2.74270000e-02 1.24630000e-02] [Hf.binding] K = 65.5038 L1 = 11.2489 M5 = 1.6685 M4 = 1.7256 M1 = 2.5772 L3 = 9.558 M3 = 2.099 M2 = 2.3586 L2 = 10.7637 [K] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.57970000e+00 3.60840000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 5.03460000e+03 1.63350000e+03 6.98470000e+02 1.97850000e+02 1.11900000e+02 1.09030000e+02 7.77820000e+01 3.69480000e+01 1.98470000e+01 7.27000000e+00 3.27630000e+00 7.45090000e-01 2.54470000e-01 5.45580000e-02 1.80780000e-02 7.65400000e-03 3.79470000e-03 1.26060000e-03 5.40570000e-04 1.19570000e-04 4.23910000e-05 1.05240000e-05 4.16340000e-06 2.11420000e-06 1.25350000e-06 5.81400000e-07 3.36720000e-07 1.39280000e-07] M = [ 2.35960000e+04 8.63890000e+03 4.11910000e+03 1.40420000e+03 8.70540000e+02 8.51850000e+02 6.43110000e+02 3.47960000e+02 2.09450000e+02 9.29750000e+01 4.90690000e+01 1.50690000e+01 6.41700000e+00 1.88820000e+00 7.81680000e-01 3.91680000e-01 2.21860000e-01 9.00030000e-02 4.45790000e-02 1.24500000e-02 5.08380000e-03 1.48890000e-03 6.50360000e-04 3.54590000e-04 2.22260000e-04 1.12750000e-04 7.00740000e-05 3.28060000e-05] L = [ 2.39410000e+05 8.31340000e+04 3.84470000e+04 1.26920000e+04 7.77960000e+03 7.60900000e+03 5.70810000e+03 3.04850000e+03 1.81700000e+03 7.95880000e+02 4.16490000e+02 1.26310000e+02 5.34600000e+01 1.56120000e+01 6.43670000e+00 3.21690000e+00 1.81890000e+00 7.36140000e-01 3.64060000e-01 1.01460000e-01 4.14070000e-02 1.21170000e-02 5.29070000e-03 2.88410000e-03 1.80740000e-03 9.16700000e-04 5.69630000e-04 2.66460000e-04] L2 = [ 5.84770000e+04 1.78860000e+04 7.40140000e+03 2.02710000e+03 1.13290000e+03 1.10320000e+03 7.81690000e+02 3.66130000e+02 1.94630000e+02 7.03650000e+01 3.14730000e+01 7.07400000e+00 2.40100000e+00 5.11280000e-01 1.68770000e-01 7.12890000e-02 3.52810000e-02 1.16920000e-02 5.00510000e-03 1.10870000e-03 3.93090000e-04 9.76040000e-05 3.86050000e-05 1.96040000e-05 1.16350000e-05 5.40540000e-06 3.13190000e-06 1.30200000e-06] L3 = [ 1.14340000e+05 3.48070000e+04 1.43530000e+04 3.91000000e+03 2.17970000e+03 2.12240000e+03 1.50140000e+03 7.00710000e+02 3.71280000e+02 1.33460000e+02 5.93980000e+01 1.32070000e+01 4.44080000e+00 9.30260000e-01 3.02770000e-01 1.26280000e-01 6.17790000e-02 2.00670000e-02 8.44610000e-03 1.80170000e-03 6.24890000e-04 1.52300000e-04 6.05640000e-05 3.13310000e-05 1.89630000e-05 9.26340000e-06 5.65190000e-06 2.58530000e-06] M3 = [ 9.85020000e+03 3.18120000e+03 1.35560000e+03 3.81870000e+02 2.15410000e+02 2.09860000e+02 1.49480000e+02 7.07440000e+01 3.78750000e+01 1.37930000e+01 6.18640000e+00 1.38840000e+00 4.69720000e-01 9.90690000e-02 3.23590000e-02 1.35280000e-02 6.62790000e-03 2.15750000e-03 9.08990000e-04 1.94540000e-04 6.75510000e-05 1.64820000e-05 6.55050000e-06 3.38900000e-06 2.05400000e-06 1.00510000e-06 6.13290000e-07 2.80970000e-07] L1 = [ 6.65960000e+04 3.04400000e+04 1.66930000e+04 6.75490000e+03 4.46710000e+03 4.38340000e+03 3.42500000e+03 1.98170000e+03 1.25110000e+03 5.92050000e+02 3.25610000e+02 1.06030000e+02 4.66180000e+01 1.41710000e+01 5.96520000e+00 3.01930000e+00 1.72180000e+00 7.04380000e-01 3.50610000e-01 9.85480000e-02 4.03890000e-02 1.18670000e-02 5.19150000e-03 2.83310000e-03 1.77680000e-03 9.02030000e-04 5.60840000e-04 2.62570000e-04] JK = 8.97649883418 M1 = [ 8.71110000e+03 3.82430000e+03 2.06500000e+03 8.24490000e+02 5.43230000e+02 5.32970000e+02 4.15850000e+02 2.40270000e+02 1.51730000e+02 7.19120000e+01 3.96060000e+01 1.29360000e+01 5.69280000e+00 1.73460000e+00 7.31240000e-01 3.70490000e-01 2.11440000e-01 8.65840000e-02 4.31300000e-02 1.21360000e-02 4.97380000e-03 1.46190000e-03 6.39650000e-04 3.49090000e-04 2.18950000e-04 1.11160000e-04 6.91240000e-05 3.23860000e-05] all other = [ 2.12510000e+02 9.29100000e+01 5.02320000e+01 2.00190000e+01 1.31850000e+01 1.29360000e+01 1.00910000e+01 5.82910000e+00 3.68060000e+00 1.74440000e+00 9.60690000e-01 3.13730000e-01 1.38210000e-01 4.21220000e-02 1.77600000e-02 8.99860000e-03 5.13570000e-03 2.10320000e-03 1.04770000e-03 2.94810000e-04 1.20830000e-04 3.55250000e-05 1.55550000e-05 8.49780000e-06 5.33850000e-06 2.72140000e-06 1.70360000e-06 8.19690000e-07] total = [ 2.63220000e+05 9.18660000e+04 4.26170000e+04 1.41160000e+04 8.66340000e+03 7.77670000e+04 5.99650000e+04 3.35810000e+04 2.07150000e+04 9.46350000e+03 5.07290000e+03 1.58350000e+03 6.78610000e+02 2.00280000e+02 8.29400000e+01 4.15450000e+01 2.35200000e+01 9.53040000e+00 4.71550000e+00 1.31430000e+00 5.36010000e-01 1.56770000e-01 6.84370000e-02 3.73050000e-02 2.33830000e-02 1.18650000e-02 7.38040000e-03 3.45570000e-03] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.92930000e+04 5.36040000e+04 3.01790000e+04 1.86850000e+04 8.57290000e+03 4.60640000e+03 1.44180000e+03 6.18590000e+02 1.82730000e+02 7.57040000e+01 3.79280000e+01 2.14740000e+01 8.70220000e+00 4.30580000e+00 1.20010000e+00 4.89400000e-01 1.43130000e-01 6.24800000e-02 3.40580000e-02 2.13480000e-02 1.08330000e-02 6.73900000e-03 3.15560000e-03] [K.binding] K = 3.5833 L1 = 0.3712 M1 = 0.0405 L3 = 0.2986 M3 = 0.0235 M2 = 0.0238 L2 = 0.3017 [He] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] L = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 4.01770000e+02 1.08880000e+02 4.32220000e+01 1.11710000e+01 4.23410000e+00 2.02580000e+00 1.09910000e+00 4.11030000e-01 1.94100000e-01 4.87480000e-02 1.82860000e-02 4.56790000e-03 1.70510000e-03 7.94530000e-04 4.25940000e-04 1.59650000e-04 7.48410000e-05 1.91610000e-05 7.42770000e-06 2.04880000e-06 8.66210000e-07 4.63530000e-07 2.87600000e-07 1.44870000e-07 9.02750000e-08 4.31470000e-08] K = [ 4.01770000e+02 1.08880000e+02 4.32220000e+01 1.11710000e+01 4.23410000e+00 2.02580000e+00 1.09910000e+00 4.11030000e-01 1.94100000e-01 4.87480000e-02 1.82860000e-02 4.56790000e-03 1.70510000e-03 7.94530000e-04 4.25940000e-04 1.59650000e-04 7.48410000e-05 1.91610000e-05 7.42770000e-06 2.04880000e-06 8.66210000e-07 4.63530000e-07 2.87600000e-07 1.44870000e-07 9.02750000e-08 4.31470000e-08] [He.binding] K = 0.0234 [Md] JL1 = 1.13095784737 JL3 = 2.25852312916 JL2 = 1.41510238908 energy = [ 1.00000000e+00 1.02750000e+00 1.03580000e+00 1.09890000e+00 1.10770000e+00 1.40230000e+00 1.41350000e+00 1.50000000e+00 1.80580000e+00 1.82030000e+00 2.00000000e+00 2.00160000e+00 2.01760000e+00 3.00000000e+00 4.00000000e+00 4.61140000e+00 4.64830000e+00 4.89230000e+00 4.93150000e+00 5.00000000e+00 5.53360000e+00 5.57790000e+00 6.00000000e+00 7.00570000e+00 7.06180000e+00 7.42630000e+00 7.48570000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 2.13600000e+01 2.15310000e+01 2.75790000e+01 2.78000000e+01 2.84980000e+01 2.87260000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.46620000e+02 1.47800000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 3.73819888066 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.88390000e+05 1.77930000e+05 1.74260000e+05 1.68270000e+05 1.29650000e+05 1.26850000e+05 1.03090000e+05 6.51380000e+04 6.36860000e+04 5.50000000e+04 5.36980000e+04 4.38120000e+04 2.21220000e+04 5.98350000e+03 2.26190000e+03 1.80290000e+03 1.75390000e+03 7.34850000e+02 7.14260000e+02 6.53820000e+02 6.35470000e+02 5.44150000e+02 1.91580000e+02 8.39750000e+01 4.24850000e+01 1.43650000e+01 6.18190000e+00 1.46490000e+00 1.42190000e+00 1.34560000e+00 4.67230000e-01 1.11340000e-01 4.27150000e-02 2.12110000e-02 1.23540000e-02 5.63690000e-03 3.21550000e-03 1.29590000e-03] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.17900000e+05 1.25500000e+05 9.66820000e+04 9.47930000e+04 7.83400000e+04 5.03250000e+04 4.91640000e+04 4.24950000e+04 4.15690000e+04 3.43460000e+04 1.76720000e+04 4.96620000e+03 1.93680000e+03 1.55390000e+03 1.51290000e+03 6.52320000e+02 6.34670000e+02 5.82660000e+02 5.66820000e+02 4.87750000e+02 1.77940000e+02 8.03020000e+01 4.16310000e+01 1.46440000e+01 6.49800000e+00 1.61890000e+00 1.57290000e+00 1.49120000e+00 5.34470000e-01 1.31290000e-01 5.07590000e-02 2.51310000e-02 1.45220000e-02 6.52880000e-03 3.65440000e-03 1.44050000e-03] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.97860000e+03 7.22720000e+03 5.37590000e+03 2.87640000e+03 1.75460000e+03 1.55920000e+03 1.53670000e+03 9.67960000e+02 9.53230000e+02 9.08740000e+02 8.94860000e+02 8.22880000e+02 4.64220000e+02 2.92310000e+02 1.98210000e+02 1.05440000e+02 6.37600000e+01 2.63480000e+01 2.58610000e+01 2.49830000e+01 1.27270000e+01 4.93800000e+00 2.56010000e+00 1.55960000e+00 1.05150000e+00 5.76500000e-01 3.68240000e-01 1.69710000e-01] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.51290000e+04 4.84940000e+04 3.74650000e+04 3.68970000e+04 3.34160000e+04 3.28870000e+04 2.87720000e+04 1.84720000e+04 7.64550000e+03 3.86960000e+03 3.29280000e+03 3.22890000e+03 1.72900000e+03 1.69380000e+03 1.58840000e+03 1.55580000e+03 1.38920000e+03 6.44230000e+02 3.47540000e+02 2.07380000e+02 9.01250000e+01 4.66320000e+01 1.48360000e+01 1.44850000e+01 1.38560000e+01 5.84910000e+00 1.76960000e+00 7.80430000e-01 4.23900000e-01 2.62450000e-01 1.28350000e-01 7.63370000e-02 3.22440000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.25360000e+04 1.19430000e+04 1.18360000e+04 1.11870000e+04 8.33070000e+03 4.37670000e+03 2.53770000e+03 2.22170000e+03 2.18600000e+03 1.29930000e+03 1.27710000e+03 1.21010000e+03 1.18920000e+03 1.08080000e+03 5.61050000e+02 3.29580000e+02 2.10650000e+02 1.01940000e+02 5.72890000e+01 2.09660000e+01 2.05280000e+01 1.97420000e+01 9.22810000e+00 3.19600000e+00 1.53760000e+00 8.88130000e-01 5.75900000e-01 3.00800000e-01 1.87380000e-01 8.55750000e-02] total = [ 3.17690000e+06 3.02120000e+06 3.10750000e+06 3.00110000e+06 3.04600000e+06 2.05270000e+06 2.15100000e+06 1.91520000e+06 1.31180000e+06 1.30490000e+06 1.06920000e+06 1.06740000e+06 1.06760000e+06 4.46170000e+05 2.30350000e+05 1.64960000e+05 3.50270000e+05 3.21300000e+05 4.32830000e+05 4.29900000e+05 3.33200000e+05 3.81620000e+05 3.17900000e+05 2.13360000e+05 2.21550000e+05 1.95270000e+05 1.99380000e+05 1.69030000e+05 9.71440000e+04 3.49570000e+04 1.67460000e+04 1.41380000e+04 3.19310000e+04 1.64080000e+04 2.32190000e+04 2.17780000e+04 2.46300000e+04 2.21030000e+04 1.06970000e+04 6.01150000e+03 3.74070000e+03 1.75760000e+03 9.74450000e+02 3.53780000e+02 1.32250000e+03 1.27780000e+03 6.24950000e+02 2.30210000e+02 1.16010000e+02 6.95720000e+01 4.64870000e+01 2.52720000e+01 1.60920000e+01 7.41990000e+00] JM2 = 1.03838582677 JM3 = 1.14531812725 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 976.13 944.7 468.45 174.97 88.892 53.631 36.001 19.691 12.583 5.8223] JM1 = 1.02104778 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.88390000e+05 1.77930000e+05 2.92150000e+05 2.93770000e+05 2.26330000e+05 2.76770000e+05 2.29930000e+05 1.52930000e+05 1.62280000e+05 1.42850000e+05 1.47970000e+05 1.25340000e+05 7.19720000e+04 2.58480000e+04 1.23610000e+04 1.04310000e+04 1.02180000e+04 5.38350000e+03 5.27310000e+03 4.94380000e+03 4.84220000e+03 4.32480000e+03 2.03900000e+03 1.13370000e+03 7.00360000e+02 3.26510000e+02 1.80360000e+02 6.52330000e+01 6.38690000e+01 6.14180000e+01 2.88060000e+01 1.01460000e+01 4.97160000e+00 2.91790000e+00 1.91670000e+00 1.01780000e+00 6.38830000e-01 2.90270000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.80810000e+04 9.10190000e+03 1.60620000e+04 1.50670000e+04 1.80570000e+04 1.62310000e+04 7.92410000e+03 4.46810000e+03 2.78660000e+03 1.31220000e+03 7.28220000e+02 2.64600000e+02 2.59090000e+02 2.49170000e+02 1.17080000e+02 4.13420000e+01 2.03030000e+01 1.19410000e+01 7.85880000e+00 4.18550000e+00 2.63260000e+00 1.19950000e+00] JM4 = 1.34712107065 JM5 = 2.12336323957 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.15600000e+03 6.74660000e+03 6.66970000e+03 5.97820000e+03 2.97790000e+03 1.67670000e+03 1.03880000e+03 4.81350000e+02 2.62380000e+02 9.18980000e+01 8.99100000e+01 8.63390000e+01 3.93300000e+01 1.32500000e+01 6.28520000e+00 3.60070000e+00 2.32280000e+00 1.20660000e+00 7.49660000e-01 3.41270000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.80810000e+04 9.10190000e+03 8.90610000e+03 8.32040000e+03 8.13920000e+03 7.21160000e+03 3.12920000e+03 1.61430000e+03 9.31860000e+02 3.86840000e+02 1.94160000e+02 5.91920000e+01 5.77460000e+01 5.51580000e+01 2.27230000e+01 6.70310000e+00 2.91990000e+00 1.57520000e+00 9.71320000e-01 4.73130000e-01 2.80890000e-01 1.18820000e-01] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.24810000e+03 3.04110000e+03 1.81710000e+03 1.17710000e+03 8.15920000e+02 4.44030000e+02 2.71680000e+02 1.13510000e+02 1.11430000e+02 1.07670000e+02 5.50290000e+01 2.13900000e+01 1.10980000e+01 6.76550000e+00 4.56460000e+00 2.50580000e+00 1.60200000e+00 7.39410000e-01] all other = [ 3.17690000e+06 3.02120000e+06 3.10750000e+06 3.00110000e+06 3.04600000e+06 2.05270000e+06 2.15100000e+06 1.91520000e+06 1.31180000e+06 1.30490000e+06 1.06920000e+06 1.06740000e+06 1.06760000e+06 4.46170000e+05 2.30350000e+05 1.64960000e+05 1.61880000e+05 1.43360000e+05 1.40670000e+05 1.36140000e+05 1.06870000e+05 1.04850000e+05 8.79760000e+04 6.04340000e+04 5.92710000e+04 5.24180000e+04 5.14060000e+04 4.36840000e+04 2.51710000e+04 9.10870000e+03 4.38510000e+03 3.70710000e+03 3.63220000e+03 1.92300000e+03 1.88390000e+03 1.76720000e+03 1.73120000e+03 1.54760000e+03 7.33760000e+02 4.09620000e+02 2.53820000e+02 1.18860000e+02 6.58750000e+01 2.39460000e+01 2.34480000e+01 2.25510000e+01 1.06150000e+01 3.75190000e+00 1.84160000e+00 1.08180000e+00 7.11280000e-01 3.77930000e-01 2.37270000e-01 1.07790000e-01] [Md.binding] K = 146.7714 L1 = 28.5266 M5 = 4.616 M4 = 4.8972 M1 = 7.4337 L3 = 21.3815 M3 = 5.5392 M2 = 7.0127 L2 = 27.607 [Mg] energy = [ 1.00000000e+00 1.29320000e+00 1.30350000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 11.801222258 M = [ 9.70910000e+02 5.40470000e+02 5.30490000e+02 3.80980000e+02 1.89050000e+02 6.71060000e+01 3.12200000e+01 1.69660000e+01 1.02040000e+01 4.49360000e+00 2.34460000e+00 6.98310000e-01 2.89890000e-01 8.20460000e-02 3.30430000e-02 1.62130000e-02 9.03100000e-03 3.57220000e-03 1.73700000e-03 4.70630000e-04 1.88600000e-04 5.40310000e-05 2.33190000e-05 1.26330000e-05 7.88900000e-06 3.99830000e-06 2.49340000e-06 1.18770000e-06] L = [ 3.61750000e+04 1.81140000e+04 1.77260000e+04 1.20910000e+04 5.46850000e+03 1.75060000e+03 7.69070000e+02 4.02880000e+02 2.36170000e+02 1.00560000e+02 5.13750000e+01 1.48630000e+01 6.07870000e+00 1.69450000e+00 6.77090000e-01 3.30760000e-01 1.83680000e-01 7.23740000e-02 3.51130000e-02 9.48610000e-03 3.79650000e-03 1.08640000e-03 4.68560000e-04 2.53610000e-04 1.58290000e-04 8.00330000e-05 4.97410000e-05 2.33830000e-05] L2 = [ 5.62500000e+03 2.43890000e+03 2.37560000e+03 1.48890000e+03 5.59590000e+02 1.34760000e+02 4.76450000e+01 2.09250000e+01 1.05700000e+01 3.53170000e+00 1.48710000e+00 3.01120000e-01 9.57810000e-02 1.89450000e-02 5.97560000e-03 2.44460000e-03 1.18000000e-03 3.77260000e-04 1.57430000e-04 3.33360000e-05 1.15230000e-05 2.77580000e-06 1.08120000e-06 5.43930000e-07 3.18980000e-07 1.46890000e-07 8.49850000e-08 3.47430000e-08] L3 = [ 1.10840000e+04 4.79870000e+03 4.67370000e+03 2.92680000e+03 1.09790000e+03 2.63600000e+02 9.29750000e+01 4.07420000e+01 2.05370000e+01 6.83470000e+00 2.86790000e+00 5.76470000e-01 1.82050000e-01 3.54280000e-02 1.10480000e-02 4.47000000e-03 2.13780000e-03 6.71250000e-04 2.76020000e-04 5.68740000e-05 1.93170000e-05 4.61040000e-06 1.81260000e-06 9.29950000e-07 5.64660000e-07 2.74960000e-07 1.67800000e-07 7.69980000e-08] L1 = [ 1.94660000e+04 1.08760000e+04 1.06770000e+04 7.67570000e+03 3.81100000e+03 1.35220000e+03 6.28450000e+02 3.41210000e+02 2.05060000e+02 9.01970000e+01 4.70200000e+01 1.39850000e+01 5.80090000e+00 1.64010000e+00 6.60060000e-01 3.23840000e-01 1.80360000e-01 7.13260000e-02 3.46800000e-02 9.39590000e-03 3.76560000e-03 1.07900000e-03 4.65670000e-04 2.52140000e-04 1.57400000e-04 7.96110000e-05 4.94880000e-05 2.32710000e-05] M1 = [ 9.70910000e+02 5.40470000e+02 5.30490000e+02 3.80980000e+02 1.89050000e+02 6.71060000e+01 3.12200000e+01 1.69660000e+01 1.02040000e+01 4.49360000e+00 2.34460000e+00 6.98310000e-01 2.89890000e-01 8.20460000e-02 3.30430000e-02 1.62130000e-02 9.03100000e-03 3.57220000e-03 1.73700000e-03 4.70630000e-04 1.88600000e-04 5.40310000e-05 2.33190000e-05 1.26330000e-05 7.88900000e-06 3.99830000e-06 2.49340000e-06 1.18770000e-06] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 3.71460000e+04 1.86540000e+04 2.20140000e+05 1.61520000e+05 7.78860000e+04 2.65140000e+04 1.19500000e+04 6.34150000e+03 3.74530000e+03 1.60760000e+03 8.24660000e+02 2.39660000e+02 9.81830000e+01 2.73870000e+01 1.09410000e+01 5.34140000e+00 2.96500000e+00 1.16750000e+00 5.66150000e-01 1.52820000e-01 6.11230000e-02 1.74760000e-02 7.53390000e-03 4.08240000e-03 2.54830000e-03 1.28860000e-03 8.00990000e-04 3.76620000e-04] K = [ 0.00000000e+00 0.00000000e+00 2.01890000e+05 1.49050000e+05 7.22290000e+04 2.46960000e+04 1.11490000e+04 5.92160000e+03 3.49890000e+03 1.50250000e+03 7.70940000e+02 2.24100000e+02 9.18150000e+01 2.56100000e+01 1.02310000e+01 4.99440000e+00 2.77230000e+00 1.09160000e+00 5.29300000e-01 1.42860000e-01 5.71370000e-02 1.63360000e-02 7.04200000e-03 3.81620000e-03 2.38210000e-03 1.20460000e-03 7.48750000e-04 3.52050000e-04] [Mg.binding] M1 = 0.0069 K = 1.2945 L2 = 0.0566 L3 = 0.0562 L1 = 0.0895 [Mo] JL1 = 1.12184979839 JL3 = 3.58460782938 JL2 = 1.36329561018 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.51840000e+00 2.53860000e+00 2.62700000e+00 2.64800000e+00 2.84390000e+00 2.86660000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.99460000e+01 2.00000000e+01 2.01060000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 8.20050000e+04 4.06910000e+04 2.29180000e+04 1.38990000e+04 1.36530000e+04 1.26390000e+04 1.24120000e+04 1.05360000e+04 1.03430000e+04 9.30240000e+03 4.62670000e+03 2.60990000e+03 1.60430000e+03 7.20950000e+02 3.78120000e+02 1.11220000e+02 4.53990000e+01 4.50090000e+01 4.42580000e+01 1.20440000e+01 4.61230000e+00 2.16770000e+00 1.16390000e+00 4.34040000e-01 2.01840000e-01 5.07930000e-02 1.95210000e-02 5.32010000e-03 2.22130000e-03 1.16940000e-03 7.10510000e-04 3.40370000e-04 2.01330000e-04 8.56440000e-05] M = [ 7.23000000e+05 2.77820000e+05 1.36880000e+05 7.65910000e+04 7.50540000e+04 6.87890000e+04 6.74030000e+04 5.61500000e+04 5.50120000e+04 4.89410000e+04 2.31500000e+04 1.28250000e+04 7.86880000e+03 3.60530000e+03 1.95380000e+03 6.32580000e+02 2.83300000e+02 2.81130000e+02 2.76970000e+02 8.83900000e+01 3.85340000e+01 2.01350000e+01 1.18110000e+01 5.06400000e+00 2.61700000e+00 7.87170000e-01 3.37580000e-01 1.05050000e-01 4.75430000e-02 2.64810000e-02 1.68080000e-02 8.61300000e-03 5.35090000e-03 2.46560000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.22750000e+05 2.00560000e+05 3.02890000e+05 2.54540000e+05 2.94480000e+05 2.64690000e+05 1.27700000e+05 7.16300000e+04 4.41980000e+04 2.03570000e+04 1.10440000e+04 3.57090000e+03 1.59670000e+03 1.58440000e+03 1.56090000e+03 4.97080000e+02 2.16380000e+02 1.12930000e+02 6.61740000e+01 2.83300000e+01 1.46250000e+01 4.39110000e+00 1.88090000e+00 5.84960000e-01 2.64580000e-01 1.47330000e-01 9.35090000e-02 4.79220000e-02 2.97780000e-02 1.37270000e-02] M5 = [ 2.46790000e+05 7.46300000e+04 2.99800000e+04 1.39570000e+04 1.35860000e+04 1.20980000e+04 1.17740000e+04 9.22170000e+03 8.97190000e+03 7.66670000e+03 2.76550000e+03 1.21820000e+03 6.12430000e+02 2.00900000e+02 8.26850000e+01 1.56860000e+01 4.71410000e+00 4.66000000e+00 4.55660000e+00 8.13780000e-01 2.32460000e-01 8.75600000e-02 3.94070000e-02 1.12160000e-02 4.26990000e-03 7.63600000e-04 2.36890000e-04 5.02300000e-05 1.81700000e-05 8.79020000e-06 5.13520000e-06 2.30790000e-06 1.35540000e-06 5.66710000e-07] M4 = [ 1.69220000e+05 5.15080000e+04 2.07900000e+04 9.71750000e+03 9.46040000e+03 8.42910000e+03 8.20470000e+03 6.43480000e+03 6.26130000e+03 5.35500000e+03 1.94270000e+03 8.59900000e+02 4.34190000e+02 1.43500000e+02 5.94420000e+01 1.14320000e+01 3.47580000e+00 3.43630000e+00 3.36090000e+00 6.11840000e-01 1.77540000e-01 6.77770000e-02 3.08580000e-02 8.95140000e-03 3.45680000e-03 6.36840000e-04 1.99150000e-04 4.18450000e-05 1.48230000e-05 6.93100000e-06 3.81630000e-06 1.63410000e-06 8.68320000e-07 3.27660000e-07] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.06030000e+05 8.79760000e+04 8.64030000e+04 7.74600000e+04 3.57600000e+04 1.92310000e+04 1.13970000e+04 4.86370000e+03 2.46140000e+03 6.85250000e+02 2.71170000e+02 2.68770000e+02 2.64150000e+02 6.95000000e+01 2.61160000e+01 1.21240000e+01 6.45440000e+00 2.38000000e+00 1.09910000e+00 2.74040000e-01 1.04590000e-01 2.83470000e-02 1.18030000e-02 6.20030000e-03 3.76010000e-03 1.80500000e-03 1.06580000e-03 4.54620000e-04] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.22750000e+05 2.00560000e+05 1.96860000e+05 1.66560000e+05 1.63250000e+05 1.44970000e+05 6.57470000e+04 3.48460000e+04 2.04100000e+04 8.56620000e+03 4.27680000e+03 1.16000000e+03 4.50050000e+02 4.45970000e+02 4.38140000e+02 1.11720000e+02 4.09230000e+01 1.85900000e+01 9.70850000e+00 3.46460000e+00 1.55690000e+00 3.68490000e-01 1.35670000e-01 3.52900000e-02 1.44690000e-02 7.59450000e-03 4.63870000e-03 2.26550000e-03 1.37430000e-03 6.13200000e-04] M3 = [ 1.65760000e+05 7.96130000e+04 4.39870000e+04 2.63090000e+04 2.58300000e+04 2.38610000e+04 2.34220000e+04 1.98020000e+04 1.94300000e+04 1.74300000e+04 8.52990000e+03 4.75190000e+03 2.89110000e+03 1.27780000e+03 6.61190000e+02 1.89460000e+02 7.57890000e+01 7.51210000e+01 7.38400000e+01 1.94640000e+01 7.26320000e+00 3.33930000e+00 1.75870000e+00 6.34650000e-01 2.87210000e-01 6.86510000e-02 2.53630000e-02 6.63100000e-03 2.72580000e-03 1.43230000e-03 8.74630000e-04 4.28910000e-04 2.59920000e-04 1.16440000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.48220000e+04 4.22600000e+04 2.61940000e+04 1.75530000e+04 1.23910000e+04 6.92690000e+03 4.30540000e+03 1.72560000e+03 8.75440000e+02 8.69700000e+02 8.58630000e+02 3.15860000e+02 1.49340000e+02 8.22130000e+01 5.00110000e+01 2.24860000e+01 1.19680000e+01 3.74860000e+00 1.64070000e+00 5.21320000e-01 2.38310000e-01 1.33540000e-01 8.51110000e-02 4.38510000e-02 2.73380000e-02 1.26590000e-02] JK = 6.49301407573 M1 = [ 5.92270000e+04 3.13800000e+04 1.92070000e+04 1.27080000e+04 1.25240000e+04 1.17620000e+04 1.15910000e+04 1.01560000e+04 1.00050000e+04 9.18720000e+03 5.28530000e+03 3.38510000e+03 2.32680000e+03 1.26220000e+03 7.72390000e+02 3.04780000e+02 1.53920000e+02 1.52910000e+02 1.50950000e+02 5.54570000e+01 2.62480000e+01 1.44730000e+01 8.81780000e+00 3.97510000e+00 2.12020000e+00 6.66320000e-01 2.92260000e-01 9.30070000e-02 4.25630000e-02 2.38640000e-02 1.52140000e-02 7.83980000e-03 4.88750000e-03 2.26270000e-03] all other = [ 6.32660000e+04 2.78150000e+04 1.49800000e+04 8.93260000e+03 8.77290000e+03 8.11120000e+03 7.96380000e+03 6.75340000e+03 6.62940000e+03 5.95990000e+03 3.00380000e+03 1.73770000e+03 1.10040000e+03 5.26270000e+02 2.93260000e+02 9.89550000e+01 4.53600000e+01 4.50220000e+01 4.43730000e+01 1.45270000e+01 6.42590000e+00 3.38920000e+00 2.00100000e+00 8.65410000e-01 4.49680000e-01 1.36290000e-01 5.86770000e-02 1.83440000e-02 8.31810000e-03 4.63850000e-03 2.94650000e-03 1.51150000e-03 9.39660000e-04 4.33600000e-04] total = [ 7.86270000e+05 3.05640000e+05 1.51860000e+05 8.55240000e+04 3.06570000e+05 2.77460000e+05 3.78260000e+05 3.17440000e+05 3.56120000e+05 3.19590000e+05 1.53850000e+05 8.61930000e+04 5.31670000e+04 2.44880000e+04 1.32910000e+04 4.30240000e+03 1.92530000e+03 1.25010000e+04 1.24890000e+04 4.37010000e+03 1.98490000e+03 1.06160000e+03 6.31830000e+02 2.75300000e+02 1.43480000e+02 4.35280000e+01 1.87180000e+01 5.83920000e+00 2.64610000e+00 1.47610000e+00 9.38540000e-01 4.82670000e-01 3.00840000e-01 1.39430000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.05900000e+04 1.06070000e+04 3.77010000e+03 1.72360000e+03 9.25190000e+02 5.51840000e+02 2.41040000e+02 1.25790000e+02 3.82130000e+01 1.64410000e+01 5.13090000e+00 2.32560000e+00 1.29760000e+00 8.25280000e-01 4.24620000e-01 2.64770000e-01 1.22810000e-01] [Mo.binding] K = 19.9658 L1 = 2.8467 M5 = 0.2369 M4 = 0.2404 M1 = 0.4942 L3 = 2.521 M3 = 0.3916 M2 = 0.4097 L2 = 2.6296 [Mn] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 6.50440000e+00 6.55650000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 1.77860000e+04 6.46680000e+03 3.00020000e+03 9.51120000e+02 4.01870000e+02 2.00860000e+02 1.12260000e+02 8.64220000e+01 8.42060000e+01 4.37300000e+01 2.06490000e+01 5.07490000e+00 1.82260000e+00 4.17160000e-01 1.44520000e-01 6.30680000e-02 3.19750000e-02 1.09630000e-02 4.80290000e-03 1.09910000e-03 3.98040000e-04 1.01300000e-04 4.06720000e-05 2.08710000e-05 1.24450000e-05 5.82880000e-06 3.39560000e-06 1.41830000e-06] M = [ 7.79750000e+04 2.93710000e+04 1.42980000e+04 5.01570000e+03 2.33470000e+03 1.27580000e+03 7.73640000e+02 6.18950000e+02 6.05420000e+02 3.47870000e+02 1.85720000e+02 5.83610000e+01 2.53160000e+01 7.65420000e+00 3.23440000e+00 1.64460000e+00 9.43170000e-01 3.89870000e-01 1.95790000e-01 5.59600000e-02 2.31900000e-02 6.91420000e-03 3.05070000e-03 1.67320000e-03 1.05240000e-03 5.35250000e-04 3.32620000e-04 1.54990000e-04] L = [ 6.58550000e+05 2.41860000e+05 1.14650000e+05 3.88090000e+04 1.76790000e+04 9.52800000e+03 5.72420000e+03 4.56290000e+03 4.46160000e+03 2.54260000e+03 1.34630000e+03 4.17680000e+02 1.79900000e+02 5.39740000e+01 2.27030000e+01 1.15230000e+01 6.59560000e+00 2.71940000e+00 1.36340000e+00 3.88770000e-01 1.60900000e-01 4.79130000e-02 2.11350000e-02 1.15890000e-02 7.28790000e-03 3.70620000e-03 2.30290000e-03 1.07290000e-03] M5 = [ 3.53970000e+03 8.20450000e+02 2.77920000e+02 5.64530000e+01 1.73380000e+01 6.77230000e+00 3.08550000e+00 2.17930000e+00 2.10560000e+00 8.88460000e-01 3.33800000e-01 5.40940000e-02 1.44670000e-02 2.21830000e-03 5.82860000e-04 2.06620000e-04 8.86100000e-05 2.35420000e-05 8.52660000e-06 1.41720000e-06 4.19540000e-07 8.49590000e-08 3.03210000e-08 1.45850000e-08 8.37570000e-09 3.80910000e-09 2.22070000e-09 9.71420000e-10] M4 = [ 2.40670000e+03 5.59350000e+02 1.89880000e+02 3.87020000e+01 1.19220000e+01 4.66890000e+00 2.14380000e+00 1.51620000e+00 1.46510000e+00 6.20140000e-01 2.33960000e-01 3.82490000e-02 1.03120000e-02 1.60350000e-03 4.26100000e-04 1.52480000e-04 6.60250000e-05 1.77870000e-05 6.52190000e-06 1.10060000e-06 3.27470000e-07 6.47020000e-08 2.21940000e-08 1.01030000e-08 5.56070000e-09 2.29380000e-09 1.23010000e-09 4.64520000e-10] L2 = [ 1.85800000e+05 6.30990000e+04 2.77960000e+04 8.26880000e+03 3.36700000e+03 1.64340000e+03 9.03770000e+02 6.91270000e+02 6.73130000e+02 3.44550000e+02 1.60330000e+02 3.85380000e+01 1.36830000e+01 3.09600000e+00 1.06360000e+00 4.62130000e-01 2.33580000e-01 7.97560000e-02 3.48540000e-02 7.94430000e-03 2.86990000e-03 7.31610000e-04 2.93660000e-04 1.50490000e-04 8.97470000e-05 4.21360000e-05 2.45220000e-05 1.03100000e-05] L3 = [ 3.62590000e+05 1.21930000e+05 5.34080000e+04 1.57560000e+04 6.37550000e+03 3.09600000e+03 1.69500000e+03 1.29380000e+03 1.25950000e+03 6.41260000e+02 2.96440000e+02 7.02780000e+01 2.46630000e+01 5.47210000e+00 1.84880000e+00 7.91510000e-01 3.94770000e-01 1.31690000e-01 5.64240000e-02 1.23890000e-02 4.36790000e-03 1.08180000e-03 4.33660000e-04 2.25200000e-04 1.36970000e-04 6.67790000e-05 4.06880000e-05 1.83620000e-05] M3 = [ 3.46450000e+04 1.24970000e+04 5.76530000e+03 1.81270000e+03 7.61120000e+02 3.78440000e+02 2.10550000e+02 1.61740000e+02 1.57560000e+02 8.13720000e+01 3.81650000e+01 9.24940000e+00 3.28410000e+00 7.36540000e-01 2.50520000e-01 1.07730000e-01 5.38890000e-02 1.80460000e-02 7.75160000e-03 1.70730000e-03 6.02800000e-04 1.49840000e-04 6.01500000e-05 3.12090000e-05 1.89710000e-05 9.27970000e-06 5.65460000e-06 2.56400000e-06] L1 = [ 1.10160000e+05 5.68300000e+04 3.34480000e+04 1.47840000e+04 7.93700000e+03 4.78850000e+03 3.12540000e+03 2.57780000e+03 2.52890000e+03 1.55680000e+03 8.89550000e+02 3.08870000e+02 1.41550000e+02 4.54060000e+01 1.97910000e+01 1.02690000e+01 5.96730000e+00 2.50800000e+00 1.27210000e+00 3.68440000e-01 1.53660000e-01 4.61000000e-02 2.04080000e-02 1.12130000e-02 7.06120000e-03 3.59730000e-03 2.23770000e-03 1.04420000e-03] JK = 7.83671666443 M1 = [ 1.95980000e+04 9.02680000e+03 5.06430000e+03 2.15680000e+03 1.14240000e+03 6.85030000e+02 4.45600000e+02 3.67090000e+02 3.60090000e+02 2.21260000e+02 1.26340000e+02 4.39450000e+01 2.01850000e+01 6.49660000e+00 2.83830000e+00 1.47340000e+00 8.57150000e-01 3.60820000e-01 1.83220000e-01 5.31510000e-02 2.21880000e-02 6.66290000e-03 2.94990000e-03 1.62110000e-03 1.02090000e-03 5.20140000e-04 3.23560000e-04 1.51010000e-04] all other = [ 1.36460000e+03 6.20860000e+02 3.46350000e+02 1.46880000e+02 7.80510000e+01 4.67610000e+01 3.04040000e+01 2.50440000e+01 2.45650000e+01 1.50910000e+01 8.61500000e+00 2.99660000e+00 1.37650000e+00 4.43050000e-01 1.93560000e-01 1.00600000e-01 5.85300000e-02 2.46420000e-02 1.25140000e-02 3.63070000e-03 1.51570000e-03 4.55240000e-04 2.01610000e-04 1.10830000e-04 6.98370000e-05 3.56450000e-05 2.22300000e-05 1.04880000e-05] total = [ 7.37890000e+05 2.71850000e+05 1.29300000e+05 4.39710000e+04 2.00920000e+04 1.08510000e+04 6.52830000e+03 5.20690000e+03 4.08050000e+04 2.48050000e+04 1.37080000e+04 4.51420000e+03 2.00140000e+03 6.16070000e+02 2.62030000e+02 1.33780000e+02 7.68450000e+01 3.18050000e+01 1.59750000e+01 4.56310000e+00 1.88920000e+00 5.62630000e-01 2.48140000e-01 1.36100000e-01 8.56220000e-02 4.35880000e-02 2.71120000e-02 1.26600000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.57140000e+04 2.18990000e+04 1.21670000e+04 4.03510000e+03 1.79480000e+03 5.54000000e+02 2.35900000e+02 1.20510000e+02 6.92480000e+01 2.86710000e+01 1.44040000e+01 4.11470000e+00 1.70360000e+00 5.07350000e-01 2.23750000e-01 1.22720000e-01 7.72120000e-02 3.93110000e-02 2.44540000e-02 1.14210000e-02] [Mn.binding] K = 6.5109 L1 = 0.7665 M5 = 0.0117 M4 = 0.0119 M1 = 0.0926 L3 = 0.6522 M3 = 0.0608 M2 = 0.0621 L2 = 0.663 [O] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] L = [ 6.38730000e+03 2.12670000e+03 9.52650000e+02 2.98630000e+02 1.28260000e+02 6.57620000e+01 3.78610000e+01 1.56610000e+01 7.82780000e+00 2.17970000e+00 8.68240000e-01 2.33540000e-01 9.11790000e-02 4.37970000e-02 2.40170000e-02 9.29420000e-03 4.45290000e-03 1.17940000e-03 4.66490000e-04 1.31680000e-04 5.63760000e-05 3.03830000e-05 1.89200000e-05 9.55140000e-06 5.93870000e-06 2.80430000e-06] L2 = [ 3.57310000e+02 8.56780000e+01 2.99990000e+01 6.50790000e+00 2.13470000e+00 8.84240000e-01 4.27960000e-01 1.35600000e-01 5.51830000e-02 1.06070000e-02 3.25390000e-03 6.11080000e-04 1.86660000e-04 7.46480000e-05 3.54640000e-05 1.10700000e-05 4.54870000e-06 9.38740000e-07 3.19660000e-07 7.54930000e-08 2.90620000e-08 1.44680000e-08 8.47080000e-09 3.85800000e-09 2.20560000e-09 9.06590000e-10] L3 = [ 7.07830000e+02 1.69530000e+02 5.92960000e+01 1.28350000e+01 4.20410000e+00 1.73970000e+00 8.40880000e-01 2.64660000e-01 1.07400000e-01 2.05040000e-02 6.25210000e-03 1.16060000e-03 3.50950000e-04 1.39140000e-04 6.54710000e-05 2.01440000e-05 8.16120000e-06 1.64650000e-06 5.52440000e-07 1.30340000e-07 5.09790000e-08 2.62040000e-08 1.58310000e-08 7.76430000e-09 4.77190000e-09 2.24970000e-09] L1 = [ 5.32210000e+03 1.87150000e+03 8.63360000e+02 2.79290000e+02 1.21930000e+02 6.31390000e+01 3.65920000e+01 1.52610000e+01 7.66520000e+00 2.14860000e+00 8.58740000e-01 2.31770000e-01 9.06410000e-02 4.35830000e-02 2.39160000e-02 9.26300000e-03 4.44020000e-03 1.17690000e-03 4.65620000e-04 1.31470000e-04 5.62960000e-05 3.03420000e-05 1.88960000e-05 9.53980000e-06 5.93170000e-06 2.80120000e-06] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 1.21920000e+05 4.11160000e+04 1.84290000e+04 5.73940000e+03 2.45220000e+03 1.25370000e+03 7.19910000e+02 2.96700000e+02 1.47870000e+02 4.09620000e+01 1.62650000e+01 4.35990000e+00 1.69900000e+00 8.15090000e-01 4.46580000e-01 1.72620000e-01 8.26350000e-02 2.18580000e-02 8.63720000e-03 2.44150000e-03 1.04540000e-03 5.63460000e-04 3.50860000e-04 1.77080000e-04 1.10090000e-04 5.18920000e-05] K = [ 1.15530000e+05 3.89890000e+04 1.74760000e+04 5.44080000e+03 2.32390000e+03 1.18800000e+03 6.82050000e+02 2.81040000e+02 1.40040000e+02 3.87820000e+01 1.53970000e+01 4.12640000e+00 1.60780000e+00 7.71290000e-01 4.22570000e-01 1.63320000e-01 7.81820000e-02 2.06780000e-02 8.17070000e-03 2.30980000e-03 9.88990000e-04 5.33080000e-04 3.31940000e-04 1.67530000e-04 1.04150000e-04 4.90870000e-05] [O.binding] K = 0.5373 L2 = 0.0142 L3 = 0.0141 L1 = 0.0292 [S] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.45340000e+00 2.47310000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 1.16030000e+03 3.48010000e+02 1.41960000e+02 7.36380000e+01 7.17550000e+01 3.79870000e+01 1.43500000e+01 6.60440000e+00 3.46200000e+00 1.22490000e+00 5.38540000e-01 1.17170000e-01 3.88530000e-02 8.02750000e-03 2.60320000e-03 1.08660000e-03 5.32890000e-04 1.74350000e-04 7.39290000e-05 1.60480000e-05 5.62570000e-06 1.37740000e-06 5.40440000e-07 2.72930000e-07 1.61060000e-07 7.42970000e-08 4.28670000e-08 1.76900000e-08] M = [ 8.08210000e+03 2.98710000e+03 1.44290000e+03 8.52450000e+02 8.35030000e+02 5.04030000e+02 2.34290000e+02 1.27740000e+02 7.72470000e+01 3.44770000e+01 1.82130000e+01 5.58120000e+00 2.36630000e+00 6.89080000e-01 2.82890000e-01 1.40810000e-01 7.93190000e-02 3.19000000e-02 1.56960000e-02 4.33410000e-03 1.75690000e-03 5.10080000e-04 2.21720000e-04 1.20540000e-04 7.54400000e-05 3.82310000e-05 2.37740000e-05 1.11720000e-05] L = [ 1.21100000e+05 4.12880000e+04 1.89420000e+04 1.08120000e+04 1.05770000e+04 6.18850000e+03 2.75780000e+03 1.46180000e+03 8.66020000e+02 3.75730000e+02 1.95070000e+02 5.82080000e+01 2.43250000e+01 6.97550000e+00 2.84080000e+00 1.40700000e+00 7.89890000e-01 3.16260000e-01 1.55200000e-01 4.27320000e-02 1.72940000e-02 5.01370000e-03 2.17780000e-03 1.18360000e-03 7.40470000e-04 3.75050000e-04 2.33070000e-04 1.09240000e-04] L2 = [ 2.59810000e+04 7.52160000e+03 3.00630000e+03 1.53860000e+03 1.49840000e+03 7.84020000e+02 2.91720000e+02 1.33090000e+02 6.93460000e+01 2.43400000e+01 1.06480000e+01 2.29980000e+00 7.59520000e-01 1.56210000e-01 5.05260000e-02 2.10530000e-02 1.03140000e-02 3.36590000e-03 1.43240000e-03 3.10840000e-04 1.09010000e-04 2.67170000e-05 1.05080000e-05 5.32580000e-06 3.14010000e-06 1.45590000e-06 8.40650000e-07 3.48520000e-07] L3 = [ 5.09550000e+04 1.47000000e+04 5.85980000e+03 2.99280000e+03 2.91440000e+03 1.52170000e+03 5.64210000e+02 2.56630000e+02 1.33360000e+02 4.65850000e+01 2.02920000e+01 4.34070000e+00 1.42150000e+00 2.88120000e-01 9.19970000e-02 3.78910000e-02 1.83720000e-02 5.89010000e-03 2.45340000e-03 5.16410000e-04 1.77550000e-04 4.28980000e-05 1.69630000e-05 8.72470000e-06 5.29200000e-06 2.58410000e-06 1.57690000e-06 7.21070000e-07] M3 = [ 2.27540000e+03 6.80030000e+02 2.76650000e+02 1.43200000e+02 1.39530000e+02 7.37070000e+01 2.77410000e+01 1.27000000e+01 6.63900000e+00 2.33740000e+00 1.02330000e+00 2.20480000e-01 7.24940000e-02 1.47590000e-02 4.72320000e-03 1.94790000e-03 9.45410000e-04 3.03470000e-04 1.26620000e-04 2.66740000e-05 9.17690000e-06 2.21840000e-06 8.78130000e-07 4.53540000e-07 2.75010000e-07 1.34920000e-07 8.25740000e-08 3.83200000e-08] L1 = [ 4.41680000e+04 1.90660000e+04 1.00760000e+04 6.28060000e+03 6.16370000e+03 3.88280000e+03 1.90190000e+03 1.07210000e+03 6.63310000e+02 3.04800000e+02 1.64130000e+02 5.15680000e+01 2.21440000e+01 6.53120000e+00 2.69830000e+00 1.34800000e+00 7.61200000e-01 3.07010000e-01 1.51320000e-01 4.19050000e-02 1.70080000e-02 4.94410000e-03 2.15040000e-03 1.16950000e-03 7.32040000e-04 3.71010000e-04 2.30650000e-04 1.08170000e-04] JK = 9.43244170096 M1 = [ 4.64630000e+03 1.95900000e+03 1.02430000e+03 6.35610000e+02 6.23740000e+02 3.92340000e+02 1.92200000e+02 1.08430000e+02 6.71460000e+01 3.09150000e+01 1.66510000e+01 5.24350000e+00 2.25500000e+00 6.66300000e-01 2.75570000e-01 1.37770000e-01 7.78410000e-02 3.14220000e-02 1.54950000e-02 4.29130000e-03 1.74210000e-03 5.06480000e-04 2.20300000e-04 1.19810000e-04 7.50040000e-05 3.80220000e-05 2.36490000e-05 1.11160000e-05] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 1.29190000e+05 4.42750000e+04 2.03850000e+04 1.16640000e+04 1.10020000e+05 7.11690000e+04 3.36610000e+04 1.84900000e+04 1.11990000e+04 4.98640000e+03 2.62480000e+03 7.95860000e+02 3.34840000e+02 9.65700000e+01 3.94170000e+01 1.95410000e+01 1.09760000e+01 4.39600000e+00 2.15720000e+00 5.93360000e-01 2.40030000e-01 6.95430000e-02 3.01990000e-02 1.64100000e-02 1.02670000e-02 5.20530000e-03 3.23590000e-03 1.51800000e-03] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.86060000e+04 6.44770000e+04 3.06690000e+04 1.69000000e+04 1.02560000e+04 4.57620000e+03 2.41160000e+03 7.32070000e+02 3.08150000e+02 8.89060000e+01 3.62930000e+01 1.79930000e+01 1.01060000e+01 4.04790000e+00 1.98630000e+00 5.46300000e-01 2.20980000e-01 6.40200000e-02 2.77990000e-02 1.51060000e-02 9.45100000e-03 4.79210000e-03 2.97900000e-03 1.39750000e-03] [S.binding] K = 2.4559 L1 = 0.226 M1 = 0.0209 L3 = 0.1714 M3 = 0.0103 M2 = 0.0103 L2 = 0.1727 [W] JL1 = 1.13226375742 JL3 = 2.55814040189 JL2 = 1.35453965469 energy = [ 1.00000000e+00 1.50000000e+00 1.81420000e+00 1.82870000e+00 1.87920000e+00 1.89420000e+00 2.00000000e+00 2.26890000e+00 2.28710000e+00 2.56580000e+00 2.58640000e+00 2.79510000e+00 2.81750000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.01950000e+01 1.02770000e+01 1.15620000e+01 1.16550000e+01 1.20690000e+01 1.21660000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 6.96460000e+01 7.02030000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.99292830388 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.72600000e+05 5.99180000e+05 6.05320000e+05 5.46400000e+05 3.91630000e+05 3.83360000e+05 2.81160000e+05 2.75130000e+05 2.24200000e+05 2.19460000e+05 1.85120000e+05 8.03660000e+04 4.06430000e+04 2.28270000e+04 8.87840000e+03 4.15310000e+03 3.88440000e+03 3.77860000e+03 2.50260000e+03 2.43320000e+03 2.15090000e+03 2.09100000e+03 9.86260000e+02 3.41480000e+02 7.28780000e+01 2.36520000e+01 9.75750000e+00 4.70710000e+00 2.58900000e+00 2.50740000e+00 1.48390000e+00 6.06650000e-01 1.22000000e-01 4.04100000e-02 9.18190000e-03 3.45220000e-03 1.70080000e-03 9.84990000e-04 4.48010000e-04 2.55980000e-04 1.07150000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.13670000e+05 3.78140000e+05 2.76270000e+05 2.70550000e+05 1.99550000e+05 1.95340000e+05 1.59560000e+05 1.56170000e+05 1.32150000e+05 5.83910000e+04 2.98650000e+04 1.69280000e+04 6.69160000e+03 3.17010000e+03 2.96820000e+03 2.88860000e+03 1.92740000e+03 1.87480000e+03 1.66060000e+03 1.61520000e+03 7.72360000e+02 2.72910000e+02 6.01320000e+01 2.00170000e+01 8.43520000e+00 4.14390000e+00 2.31430000e+00 2.24320000e+00 1.34570000e+00 5.63090000e-01 1.17740000e-01 3.98280000e-02 9.14950000e-03 3.40150000e-03 1.63980000e-03 9.28900000e-04 4.06160000e-04 2.23350000e-04 8.54330000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.76540000e+04 2.57970000e+04 1.71760000e+04 1.22780000e+04 9.07340000e+03 5.48790000e+03 3.63660000e+03 3.50680000e+03 3.45440000e+03 2.75730000e+03 2.71520000e+03 2.53830000e+03 2.49940000e+03 1.65290000e+03 9.16980000e+02 3.84210000e+02 2.01550000e+02 1.20270000e+02 7.80970000e+01 5.45180000e+01 5.34720000e+01 3.88410000e+01 2.23020000e+01 7.95690000e+00 3.79310000e+00 1.34240000e+00 6.54690000e-01 3.82320000e-01 2.50290000e-01 1.32560000e-01 8.33940000e-02 3.83000000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.37350000e+05 1.14550000e+05 1.13170000e+05 9.95770000e+04 9.82200000e+04 8.80760000e+04 5.31550000e+04 3.42810000e+04 2.33750000e+04 1.23050000e+04 7.24770000e+03 6.91390000e+03 6.78030000e+03 5.06600000e+03 4.96600000e+03 4.54860000e+03 4.45780000e+03 2.59760000e+03 1.19770000e+03 3.79390000e+02 1.61710000e+02 8.19270000e+01 4.65270000e+01 2.91260000e+01 2.84020000e+01 1.87700000e+01 9.19850000e+00 2.49970000e+00 9.99160000e-01 2.84520000e-01 1.21930000e-01 6.53920000e-02 4.03240000e-02 1.97540000e-02 1.18630000e-02 5.14910000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.64900000e+04 4.19140000e+04 4.15760000e+04 3.84760000e+04 2.53010000e+04 1.74230000e+04 1.24640000e+04 6.98000000e+03 4.30100000e+03 4.11850000e+03 4.04530000e+03 3.09340000e+03 3.03670000e+03 2.79930000e+03 2.74750000e+03 1.66540000e+03 8.09850000e+02 2.76650000e+02 1.24610000e+02 6.59880000e+01 3.88950000e+01 2.51190000e+01 2.45350000e+01 1.66730000e+01 8.57830000e+00 2.55190000e+00 1.08680000e+00 3.35920000e-01 1.51070000e-01 8.34460000e-02 5.24310000e-02 2.63170000e-02 1.59980000e-02 7.06740000e-03] total = [ 1.12090000e+06 4.98380000e+05 3.33020000e+05 4.99950000e+05 9.07840000e+05 1.02240000e+06 1.19410000e+06 8.71870000e+05 9.91630000e+05 7.49970000e+05 7.82070000e+05 6.52570000e+05 6.68080000e+05 5.77800000e+05 2.89440000e+05 1.66650000e+05 1.05240000e+05 5.03870000e+04 2.82150000e+04 2.68230000e+04 6.86170000e+04 5.01580000e+04 6.79410000e+04 6.23300000e+04 7.05740000e+04 4.15030000e+04 1.94220000e+04 6.54550000e+03 2.98590000e+03 1.61470000e+03 9.74190000e+02 6.43410000e+02 3.21250000e+03 2.27220000e+03 1.26830000e+03 4.25920000e+02 1.95280000e+02 6.61230000e+01 3.15340000e+01 1.81960000e+01 1.18340000e+01 6.23490000e+00 3.91750000e+00 1.80260000e+00] JM2 = 1.04280171207 JM3 = 1.13735992751 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.58330000e+03 1.83520000e+03 1.03410000e+03 3.50590000e+02 1.61370000e+02 5.48380000e+01 2.62070000e+01 1.51470000e+01 9.86500000e+00 5.20910000e+00 3.27840000e+00 1.51210000e+00] JM1 = 1.02376756517 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.72600000e+05 5.99180000e+05 7.18990000e+05 9.24550000e+05 6.67900000e+05 7.91250000e+05 5.95260000e+05 6.30130000e+05 5.25260000e+05 5.43080000e+05 4.69620000e+05 2.34390000e+05 1.34490000e+05 8.46670000e+04 4.03430000e+04 2.25090000e+04 2.13920000e+04 2.09470000e+04 1.53470000e+04 1.50260000e+04 1.36980000e+04 1.34110000e+04 7.67450000e+03 3.53900000e+03 1.17330000e+03 5.31530000e+02 2.86380000e+02 1.72370000e+02 1.13670000e+02 1.11160000e+02 7.71130000e+01 4.12480000e+01 1.32480000e+01 5.95930000e+00 1.98120000e+00 9.34540000e-01 5.34500000e-01 3.44960000e-01 1.79490000e-01 1.11730000e-01 5.07090000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.23480000e+04 3.08770000e+04 4.90600000e+04 4.51100000e+04 5.37120000e+04 3.18250000e+04 1.49430000e+04 5.05380000e+03 2.30820000e+03 1.24890000e+03 7.53710000e+02 4.97870000e+02 4.86920000e+02 3.38200000e+02 1.81190000e+02 5.83020000e+01 2.62450000e+01 8.73270000e+00 4.12240000e+00 2.35970000e+00 1.52410000e+00 7.94240000e-01 4.94960000e-01 2.25070000e-01] JM4 = 1.12618963694 JM5 = 1.50126118551 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.88240000e+04 1.75110000e+04 1.71000000e+04 1.00180000e+04 4.54840000e+03 1.44400000e+03 6.20920000e+02 3.18830000e+02 1.83740000e+02 1.16700000e+02 1.13900000e+02 7.63790000e+01 3.85190000e+01 1.11320000e+01 4.66800000e+00 1.41980000e+00 6.33380000e-01 3.48270000e-01 2.18200000e-01 1.09060000e-01 6.61470000e-02 2.91670000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.23480000e+04 3.08770000e+04 3.02370000e+04 2.75990000e+04 2.70270000e+04 1.50900000e+04 6.49460000e+03 1.90150000e+03 7.73920000e+02 3.80190000e+02 2.11200000e+02 1.30090000e+02 1.26750000e+02 8.26950000e+01 3.97520000e+01 1.05080000e+01 4.13930000e+00 1.16130000e+00 4.94130000e-01 2.63940000e-01 1.62360000e-01 7.94800000e-02 4.76890000e-02 2.07120000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.58480000e+03 6.71690000e+03 3.89980000e+03 1.70820000e+03 9.13380000e+02 5.49910000e+02 3.58770000e+02 2.51080000e+02 2.46280000e+02 1.79130000e+02 1.02920000e+02 3.66610000e+01 1.74380000e+01 6.15160000e+00 2.99490000e+00 1.74750000e+00 1.14350000e+00 6.05700000e-01 3.81120000e-01 1.75190000e-01] all other = [ 1.12090000e+06 4.98380000e+05 3.33020000e+05 3.27350000e+05 3.08660000e+05 3.03370000e+05 2.69510000e+05 2.03970000e+05 2.00380000e+05 1.54720000e+05 1.51940000e+05 1.27310000e+05 1.25000000e+05 1.08180000e+05 5.50470000e+04 3.21580000e+04 2.05720000e+04 1.00440000e+04 5.70630000e+03 5.43150000e+03 5.32200000e+03 3.93430000e+03 3.85440000e+03 3.52270000e+03 3.45090000e+03 2.00390000e+03 9.40500000e+02 3.18480000e+02 1.46120000e+02 7.94350000e+01 4.81130000e+01 3.18750000e+01 3.11800000e+01 2.17110000e+01 1.16800000e+01 3.78380000e+00 1.70990000e+00 5.71370000e-01 2.70240000e-01 1.54810000e-01 1.00010000e-01 5.21070000e-02 3.24570000e-02 1.47410000e-02] [W.binding] K = 69.7152 L1 = 12.081 M5 = 1.816 M4 = 1.881 M1 = 2.7979 L3 = 10.2055 M3 = 2.2712 M2 = 2.5684 L2 = 11.5736 [Zn] JL1 = 1.11568601083 JL3 = 3.65468533232 JL2 = 1.27524595576 energy = [ 1.00000000e+00 1.02500000e+00 1.03320000e+00 1.04950000e+00 1.05790000e+00 1.18330000e+00 1.19280000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 9.61290000e+00 9.68990000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 3.21730000e+04 3.05370000e+04 3.00230000e+04 2.90330000e+04 2.85400000e+04 2.23370000e+04 2.19430000e+04 1.29260000e+04 6.35960000e+03 2.17280000e+03 9.67050000e+02 5.02980000e+02 2.90090000e+02 1.18330000e+02 6.56350000e+01 6.39590000e+01 5.77320000e+01 1.50090000e+01 5.60180000e+00 1.34810000e+00 4.81210000e-01 2.15190000e-01 1.11090000e-01 3.90950000e-02 1.74470000e-02 4.10840000e-03 1.51310000e-03 3.92920000e-04 1.59620000e-04 8.24580000e-05 4.94600000e-05 2.33110000e-05 1.36610000e-05 5.72930000e-06] M = [ 1.66320000e+05 1.56910000e+05 1.53980000e+05 1.48360000e+05 1.45580000e+05 1.11380000e+05 1.09260000e+05 6.24490000e+04 3.03730000e+04 1.06750000e+04 4.99220000e+03 2.74260000e+03 1.67130000e+03 7.57170000e+02 4.54020000e+02 4.44000000e+02 4.06510000e+02 1.29250000e+02 5.66590000e+01 1.74200000e+01 7.45370000e+00 3.83320000e+00 2.21770000e+00 9.28370000e-01 4.70990000e-01 1.36990000e-01 5.74090000e-02 1.73560000e-02 7.71910000e-03 4.25390000e-03 2.68300000e-03 1.36770000e-03 8.49880000e-04 3.94660000e-04] L = [ 0.00000000e+00 0.00000000e+00 4.23940000e+05 6.07290000e+05 8.18530000e+05 7.05320000e+05 8.02090000e+05 4.60100000e+05 2.26480000e+05 7.89110000e+04 3.64780000e+04 1.98450000e+04 1.19980000e+04 5.37510000e+03 3.20330000e+03 3.13180000e+03 2.86470000e+03 9.00610000e+02 3.92060000e+02 1.19550000e+02 5.09140000e+01 2.61020000e+01 1.50660000e+01 6.29400000e+00 3.18700000e+00 9.24360000e-01 3.86790000e-01 1.16750000e-01 5.18870000e-02 2.85880000e-02 1.80280000e-02 9.18940000e-03 5.70960000e-03 2.65160000e-03] M5 = [ 2.53320000e+04 2.33490000e+04 2.27390000e+04 2.15830000e+04 2.10160000e+04 1.44130000e+04 1.40280000e+04 6.34480000e+03 2.25910000e+03 4.94150000e+02 1.60780000e+02 6.55790000e+01 3.09920000e+01 9.17770000e+00 4.17590000e+00 4.03470000e+00 3.52130000e+00 5.99140000e-01 1.66720000e-01 2.66490000e-02 7.17210000e-03 2.59080000e-03 1.12910000e-03 3.07100000e-04 1.13140000e-04 1.93030000e-05 5.79760000e-06 1.18770000e-06 4.24940000e-07 2.05050000e-07 1.17850000e-07 5.36780000e-08 3.12840000e-08 1.34450000e-08] M4 = [ 1.73410000e+04 1.59870000e+04 1.55700000e+04 1.47800000e+04 1.43940000e+04 9.88130000e+03 9.61780000e+03 4.35940000e+03 1.55670000e+03 3.42040000e+02 1.11680000e+02 4.56910000e+01 2.16580000e+01 6.48050000e+00 2.96040000e+00 2.86080000e+00 2.49870000e+00 4.29610000e-01 1.20600000e-01 1.95760000e-02 5.33720000e-03 1.94880000e-03 8.57830000e-04 2.36950000e-04 8.84290000e-05 1.53500000e-05 4.63580000e-06 9.32000000e-07 3.22250000e-07 1.47760000e-07 8.10750000e-08 3.36110000e-08 1.79690000e-08 6.50990000e-09] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.04450000e+05 2.39930000e+05 2.34960000e+05 1.30630000e+05 6.11660000e+04 1.93850000e+04 8.22180000e+03 4.13800000e+03 2.33010000e+03 9.20390000e+02 5.01900000e+02 4.88750000e+02 4.40000000e+02 1.11040000e+02 4.07490000e+01 9.62850000e+00 3.40490000e+00 1.51140000e+00 7.76800000e-01 2.71800000e-01 1.20840000e-01 2.83060000e-02 1.03950000e-02 2.68950000e-03 1.09440000e-03 5.65160000e-04 3.38630000e-04 1.59810000e-04 9.36760000e-05 3.93250000e-05] L3 = [ 0.00000000e+00 0.00000000e+00 4.23940000e+05 6.07290000e+05 6.14070000e+05 4.65390000e+05 4.55740000e+05 2.52010000e+05 1.16910000e+05 3.65940000e+04 1.53910000e+04 7.69380000e+03 4.30730000e+03 1.68490000e+03 9.12670000e+02 8.88490000e+02 7.98890000e+02 1.98270000e+02 7.17730000e+01 1.65780000e+01 5.75200000e+00 2.51120000e+00 1.27160000e+00 4.33580000e-01 1.88600000e-01 4.23740000e-02 1.51320000e-02 3.80820000e-03 1.53370000e-03 7.98680000e-04 4.86380000e-04 2.37860000e-04 1.44280000e-04 6.53220000e-05] M3 = [ 6.25730000e+04 5.93450000e+04 5.83310000e+04 5.63810000e+04 5.54110000e+04 4.32210000e+04 4.24480000e+04 2.48400000e+04 1.21220000e+04 4.09410000e+03 1.80680000e+03 9.33310000e+02 5.35140000e+02 2.16150000e+02 1.19080000e+02 1.16000000e+02 1.04580000e+02 2.67260000e+01 9.83800000e+00 2.31450000e+00 8.10990000e-01 3.55680000e-01 1.80890000e-01 6.20310000e-02 2.70770000e-02 6.11410000e-03 2.18900000e-03 5.52060000e-04 2.23010000e-04 1.16230000e-04 7.07560000e-05 3.46490000e-05 2.10490000e-05 9.51470000e-06] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.11380000e+05 7.74580000e+04 4.84110000e+04 2.29320000e+04 1.28650000e+04 8.01290000e+03 5.36070000e+03 2.76990000e+03 1.78870000e+03 1.75460000e+03 1.62580000e+03 5.91310000e+02 2.79540000e+02 9.33440000e+01 4.17570000e+01 2.20790000e+01 1.30180000e+01 5.58860000e+00 2.87760000e+00 8.53680000e-01 3.61260000e-01 1.10250000e-01 4.92590000e-02 2.72250000e-02 1.72030000e-02 8.79170000e-03 5.47170000e-03 2.54690000e-03] JK = 7.38978897209 M1 = [ 2.89020000e+04 2.76980000e+04 2.73180000e+04 2.65840000e+04 2.62170000e+04 2.15300000e+04 2.12260000e+04 1.39790000e+04 8.07540000e+03 3.57170000e+03 1.94590000e+03 1.19500000e+03 7.93440000e+02 4.07040000e+02 2.62170000e+02 2.57150000e+02 2.38180000e+02 8.64890000e+01 4.09320000e+01 1.37110000e+01 6.14900000e+00 3.25780000e+00 1.92380000e+00 8.26700000e-01 4.26260000e-01 1.26730000e-01 5.36960000e-02 1.64090000e-02 7.33570000e-03 4.05480000e-03 2.56260000e-03 1.30970000e-03 8.15120000e-04 3.79400000e-04] all other = [ 1.74420000e+03 1.66850000e+03 1.64470000e+03 1.59870000e+03 1.57580000e+03 1.28470000e+03 1.26600000e+03 8.26710000e+02 4.72990000e+02 2.07600000e+02 1.13520000e+02 6.95940000e+01 4.61640000e+01 2.36590000e+01 1.52330000e+01 1.49410000e+01 1.38390000e+01 5.02350000e+00 2.37740000e+00 7.96420000e-01 3.57200000e-01 1.89240000e-01 1.11740000e-01 4.80790000e-02 2.47940000e-02 7.37290000e-03 3.12430000e-03 9.54900000e-04 4.26990000e-04 2.36080000e-04 1.49260000e-04 7.63880000e-05 4.76370000e-05 2.23520000e-05] total = [ 1.68070000e+05 1.58580000e+05 5.79560000e+05 7.57250000e+05 9.65680000e+05 8.17990000e+05 9.12620000e+05 5.23380000e+05 2.57330000e+05 8.97930000e+04 4.15840000e+04 2.26570000e+04 1.37160000e+04 6.15600000e+03 3.67250000e+03 2.71390000e+04 2.51360000e+04 8.70190000e+03 3.95680000e+03 1.25830000e+03 5.46070000e+02 2.82900000e+02 1.64330000e+02 6.91260000e+01 3.51240000e+01 1.02240000e+01 4.28290000e+00 1.29370000e+00 5.75250000e-01 3.17100000e-01 2.00110000e-01 1.02170000e-01 6.35790000e-02 2.96130000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.35480000e+04 2.18510000e+04 7.66700000e+03 3.50570000e+03 1.12060000e+03 4.87350000e+02 2.52780000e+02 1.46930000e+02 6.18550000e+01 3.14410000e+01 9.15480000e+00 3.83560000e+00 1.15870000e+00 5.15220000e-01 2.84020000e-01 1.79250000e-01 9.15350000e-02 5.69720000e-02 2.65450000e-02] [Zn.binding] K = 9.6225 L1 = 1.1845 M5 = 0.0164 M4 = 0.0168 M1 = 0.1375 L3 = 1.026 M3 = 0.0906 M2 = 0.0938 L2 = 1.0505 [elementslist] elements = H, He, Li, Be, B, C, N, O, F, Ne, Na, Mg, Al, Si, P, S, Cl, Ar, K, Ca, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ga, Ge, As, Se, Br, Kr, Rb, Sr, Y, Zr, Nb, Mo, Tc, Ru, Rh, Pd, Ag, Cd, In, Sn, Sb, Te, I, Xe, Cs, Ba, La, Ce, Pr, Nd, Pm, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Hf, Ta, W, Re, Os, Ir, Pt, Au, Hg, Tl, Pb, Bi, Po, At, Rn, Fr, Ra, Ac, Th, Pa, U, Np, Pu, Am, Cm, Bk, Cf, Es, Fm, Md [Eu] JL1 = 1.13162272521 JL3 = 2.71319280976 JL2 = 1.34125264721 energy = [ 1.00000000e+00 1.13650000e+00 1.14560000e+00 1.16600000e+00 1.17540000e+00 1.46810000e+00 1.47990000e+00 1.50000000e+00 1.60270000e+00 1.61550000e+00 1.77560000e+00 1.78990000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 6.96160000e+00 7.01730000e+00 7.61750000e+00 7.67850000e+00 8.00000000e+00 8.01140000e+00 8.07560000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 4.85280000e+01 4.89160000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.46574375555 M5 = [ 0.00000000e+00 0.00000000e+00 4.77380000e+05 1.03860000e+06 1.07000000e+06 6.08550000e+05 5.96430000e+05 5.76430000e+05 4.86740000e+05 4.76830000e+05 3.75670000e+05 3.68010000e+05 2.73590000e+05 8.48110000e+04 3.48110000e+04 1.69290000e+04 9.21690000e+03 5.54600000e+03 5.39510000e+03 4.05570000e+03 3.94420000e+03 3.41550000e+03 3.39840000e+03 3.30420000e+03 1.54010000e+03 3.43160000e+02 1.13620000e+02 2.28050000e+01 7.10760000e+00 3.21950000e+00 3.11560000e+00 2.84700000e+00 1.34230000e+00 4.09170000e-01 1.63410000e-01 3.17080000e-02 1.02900000e-02 2.28680000e-03 8.51090000e-04 4.17120000e-04 2.41500000e-04 1.09060000e-04 6.38490000e-05 2.57940000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.01200000e+05 4.20760000e+05 4.12520000e+05 3.98910000e+05 3.37820000e+05 3.31060000e+05 2.61600000e+05 2.56270000e+05 1.91850000e+05 6.03280000e+04 2.50460000e+04 1.22850000e+04 6.73770000e+03 4.07920000e+03 3.96970000e+03 2.99440000e+03 2.91300000e+03 2.52730000e+03 2.51480000e+03 2.44610000e+03 1.15150000e+03 2.61970000e+02 8.82170000e+01 1.81930000e+01 5.79590000e+00 2.66750000e+00 2.58320000e+00 2.36490000e+00 1.13290000e+00 3.54510000e-01 1.44500000e-01 2.89910000e-02 9.56400000e-03 2.13200000e-03 7.78400000e-04 3.72940000e-04 2.10330000e-04 9.02460000e-05 4.92560000e-05 1.90780000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.52220000e+04 3.97350000e+04 2.18940000e+04 1.36760000e+04 9.26800000e+03 6.65600000e+03 5.04430000e+03 4.96850000e+03 4.24940000e+03 4.18510000e+03 3.86790000e+03 3.85730000e+03 3.79830000e+03 2.49500000e+03 1.08510000e+03 5.84670000e+02 2.34900000e+02 1.19540000e+02 7.49490000e+01 7.35030000e+01 6.96650000e+01 4.43690000e+01 2.14070000e+01 1.20090000e+01 4.11320000e+00 1.90750000e+00 6.51290000e-01 3.10630000e-01 1.78790000e-01 1.15870000e-01 6.07350000e-02 3.80590000e-02 1.75070000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.96730000e+05 1.88880000e+05 1.76040000e+05 1.74350000e+05 1.52050000e+05 1.50150000e+05 1.25600000e+05 6.21350000e+04 3.49040000e+04 2.15090000e+04 1.41750000e+04 9.95630000e+03 9.76580000e+03 7.99380000e+03 7.83830000e+03 7.08030000e+03 7.05510000e+03 6.91610000e+03 4.01140000e+03 1.34540000e+03 5.93080000e+02 1.76740000e+02 7.23010000e+01 3.91160000e+01 3.81280000e+01 3.55390000e+01 1.97110000e+01 7.67610000e+00 3.66740000e+00 9.56390000e-01 3.72910000e-01 1.03290000e-01 4.36770000e-02 2.32440000e-02 1.42980000e-02 7.00990000e-03 4.22390000e-03 1.85660000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.39570000e+04 6.65870000e+04 6.60030000e+04 5.70540000e+04 3.09360000e+04 1.82630000e+04 1.16550000e+04 7.88990000e+03 5.65650000e+03 5.55460000e+03 4.59520000e+03 4.51040000e+03 4.09670000e+03 4.08300000e+03 4.00700000e+03 2.39110000e+03 8.45290000e+02 3.87160000e+02 1.22060000e+02 5.21040000e+01 2.90480000e+01 2.83510000e+01 2.65180000e+01 1.51510000e+01 6.19800000e+00 3.08220000e+00 8.66500000e-01 3.56120000e-01 1.05390000e-01 4.61840000e-02 2.50950000e-02 1.56040000e-02 7.70120000e-03 4.63950000e-03 2.02170000e-03] total = [ 5.56640000e+05 4.38230000e+05 9.08980000e+05 1.45590000e+06 1.78210000e+06 1.29340000e+06 1.46550000e+06 1.41690000e+06 1.22090000e+06 1.27280000e+06 1.03330000e+06 1.06010000e+06 8.25040000e+05 3.15040000e+05 1.54530000e+05 8.78320000e+04 5.49860000e+04 3.73840000e+04 1.01430000e+05 8.21620000e+04 1.10200000e+05 9.95660000e+04 9.91850000e+04 1.12240000e+05 6.54460000e+04 2.23360000e+04 1.02720000e+04 3.36970000e+03 1.51160000e+03 8.78380000e+02 4.80100000e+03 4.52960000e+03 2.80380000e+03 1.29670000e+03 7.04480000e+02 2.28460000e+02 1.02480000e+02 3.37210000e+01 1.57920000e+01 9.00120000e+00 5.80510000e+00 3.02990000e+00 1.89730000e+00 8.74250000e-01] JM2 = 1.04250962405 JM3 = 1.13306015154 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.94220000e+03 3.72220000e+03 2.32140000e+03 1.08360000e+03 5.91650000e+02 1.92950000e+02 8.67390000e+01 2.85990000e+01 1.34080000e+01 7.64970000e+00 4.93760000e+00 2.58080000e+00 1.61790000e+00 7.46830000e-01] JM1 = 1.02593632053 M = [ 0.00000000e+00 0.00000000e+00 4.77380000e+05 1.03860000e+06 1.37120000e+06 1.02930000e+06 1.20570000e+06 1.16420000e+06 1.00060000e+06 1.05620000e+06 8.55910000e+05 8.85650000e+05 6.87830000e+05 2.60110000e+05 1.26700000e+05 7.16460000e+04 4.46760000e+04 3.02820000e+04 2.96540000e+04 2.38880000e+04 2.33910000e+04 2.09880000e+04 2.09090000e+04 2.04720000e+04 1.15890000e+04 3.88090000e+03 1.76670000e+03 5.74710000e+02 2.56840000e+02 1.49000000e+02 1.45680000e+02 1.36930000e+02 8.17050000e+01 3.60450000e+01 1.90670000e+01 5.99670000e+00 2.65640000e+00 8.64390000e-01 4.02120000e-01 2.27920000e-01 1.46230000e-01 7.56460000e-02 4.70350000e-02 2.14300000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.48200000e+04 5.26200000e+04 8.12710000e+04 7.35880000e+04 7.33050000e+04 8.69000000e+04 5.10460000e+04 1.74850000e+04 8.05560000e+03 2.64570000e+03 1.18720000e+03 6.89920000e+02 6.74580000e+02 6.34180000e+02 3.78900000e+02 1.67400000e+02 8.86150000e+01 2.78880000e+01 1.23550000e+01 4.02040000e+00 1.87070000e+00 1.06080000e+00 6.80920000e-01 3.52540000e-01 2.19390000e-01 1.00060000e-01] JM4 = 1.22405384985 JM5 = 2.07420760788 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.97580000e+04 2.72580000e+04 2.71430000e+04 2.65250000e+04 1.53370000e+04 4.94510000e+03 2.14390000e+03 6.33820000e+02 2.60560000e+02 1.42150000e+02 1.38620000e+02 1.29360000e+02 7.26080000e+01 2.90080000e+01 1.42080000e+01 3.90840000e+00 1.58790000e+00 4.64420000e-01 2.02350000e-01 1.09600000e-01 6.79140000e-02 3.34110000e-02 2.00950000e-02 8.73930000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.48200000e+04 5.26200000e+04 5.15130000e+04 4.63310000e+04 4.61610000e+04 4.52250000e+04 2.51200000e+04 7.65450000e+03 3.19500000e+03 8.93170000e+02 3.52140000e+02 1.86490000e+02 1.81640000e+02 1.68930000e+02 9.20890000e+01 3.50470000e+01 1.65010000e+01 4.21440000e+00 1.62530000e+00 4.45160000e-01 1.87210000e-01 9.95120000e-02 6.10940000e-02 2.99160000e-02 1.80320000e-02 7.88710000e-03] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.51490000e+04 1.05890000e+04 4.88570000e+03 2.71670000e+03 1.11870000e+03 5.74480000e+02 3.61270000e+02 3.54320000e+02 3.35890000e+02 2.14210000e+02 1.03340000e+02 5.79060000e+01 1.97650000e+01 9.14160000e+00 3.11080000e+00 1.48110000e+00 8.51680000e-01 5.51910000e-01 2.89210000e-01 1.81260000e-01 8.34380000e-02] all other = [ 5.56640000e+05 4.38230000e+05 4.31610000e+05 4.17220000e+05 4.10860000e+05 2.64050000e+05 2.59780000e+05 2.52680000e+05 2.20260000e+05 2.16620000e+05 1.77420000e+05 1.74420000e+05 1.37210000e+05 5.49390000e+04 2.78270000e+04 1.61860000e+04 1.03100000e+04 7.10140000e+03 6.95990000e+03 5.65350000e+03 5.54000000e+03 4.99040000e+03 4.97220000e+03 4.87210000e+03 2.81120000e+03 9.70130000e+02 4.49500000e+02 1.49360000e+02 6.75580000e+01 3.94660000e+01 3.85970000e+01 3.63060000e+01 2.17890000e+01 9.68800000e+00 5.15160000e+00 1.63280000e+00 7.25940000e-01 2.37260000e-01 1.10620000e-01 6.27900000e-02 4.03230000e-02 2.08800000e-02 1.29910000e-02 5.92280000e-03] [Eu.binding] K = 48.5761 L1 = 8.0195 M5 = 1.1376 M4 = 1.1672 M1 = 1.7774 L3 = 6.9686 M3 = 1.4696 M2 = 1.6043 L2 = 7.6251 [Zr] JL1 = 1.11924686192 JL3 = 3.73038516405 JL2 = 1.36719092675 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.22250000e+00 2.24030000e+00 2.31000000e+00 2.32850000e+00 2.51230000e+00 2.53240000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.79440000e+01 1.80880000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 7.35970000e+04 3.53540000e+04 1.95130000e+04 1.54780000e+04 1.52050000e+04 1.41930000e+04 1.39390000e+04 1.17210000e+04 1.15070000e+04 7.71440000e+03 3.76970000e+03 2.09860000e+03 1.27680000e+03 5.65240000e+02 2.93200000e+02 8.45870000e+01 4.79110000e+01 4.67020000e+01 3.37890000e+01 8.89120000e+00 3.36770000e+00 1.57000000e+00 8.37690000e-01 3.09440000e-01 1.42930000e-01 3.55760000e-02 1.35850000e-02 3.67330000e-03 1.52710000e-03 8.01140000e-04 4.85330000e-04 2.32250000e-04 1.36940000e-04 5.81760000e-05] M = [ 5.91300000e+05 2.25630000e+05 1.10860000e+05 8.50300000e+04 8.33340000e+04 7.71120000e+04 7.55690000e+04 6.22990000e+04 6.10440000e+04 3.95010000e+04 1.86350000e+04 1.03020000e+04 6.31060000e+03 2.88540000e+03 1.56140000e+03 5.04020000e+02 3.04000000e+02 2.97220000e+02 2.23490000e+02 7.00370000e+01 3.04550000e+01 1.58790000e+01 9.29580000e+00 3.97250000e+00 2.04740000e+00 6.12710000e-01 2.61700000e-01 8.11090000e-02 3.66040000e-02 2.03530000e-02 1.29050000e-02 6.60710000e-03 4.10480000e-03 1.89360000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.58330000e+05 2.33890000e+05 3.52780000e+05 2.94210000e+05 3.38900000e+05 2.23700000e+05 1.07280000e+05 5.98220000e+04 3.67900000e+04 1.68470000e+04 9.11080000e+03 2.93190000e+03 1.76570000e+03 1.72610000e+03 1.29690000e+03 4.05210000e+02 1.75840000e+02 9.15370000e+01 5.35230000e+01 2.28320000e+01 1.17530000e+01 3.51050000e+00 1.49830000e+00 4.63770000e-01 2.09160000e-01 1.16270000e-01 7.37170000e-02 3.77440000e-02 2.34520000e-02 1.08250000e-02] M5 = [ 1.87770000e+05 5.52510000e+04 2.18100000e+04 1.53330000e+04 1.49270000e+04 1.34570000e+04 1.30980000e+04 1.01060000e+04 9.83290000e+03 5.44920000e+03 1.93290000e+03 8.41000000e+02 4.18950000e+02 1.35610000e+02 5.52360000e+01 1.02820000e+01 4.80440000e+00 4.64350000e+00 3.01840000e+00 5.20220000e-01 1.47390000e-01 5.51560000e-02 2.46910000e-02 6.97400000e-03 2.62630000e-03 4.67560000e-04 1.44190000e-04 3.03300000e-05 1.10300000e-05 5.39860000e-06 3.08730000e-06 1.41020000e-06 8.11190000e-07 3.40970000e-07] M4 = [ 1.28690000e+05 3.80910000e+04 1.51020000e+04 1.06350000e+04 1.03540000e+04 9.33920000e+03 9.09120000e+03 7.02370000e+03 6.83470000e+03 3.79870000e+03 1.35480000e+03 5.92160000e+02 2.96190000e+02 9.65480000e+01 3.95690000e+01 7.46360000e+00 3.51140000e+00 3.39490000e+00 2.21590000e+00 3.89040000e-01 1.11890000e-01 4.24170000e-02 1.92010000e-02 5.52260000e-03 2.12470000e-03 3.87950000e-04 1.20740000e-04 2.52330000e-05 8.85560000e-06 4.11940000e-06 2.28540000e-06 9.55320000e-07 5.18650000e-07 1.97350000e-07] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.22940000e+05 1.01360000e+05 9.95310000e+04 6.41550000e+04 2.93330000e+04 1.56090000e+04 9.17530000e+03 3.86470000e+03 1.93810000e+03 5.31320000e+02 2.95440000e+02 2.87770000e+02 2.06260000e+02 5.26090000e+01 1.95840000e+01 9.02810000e+00 4.77940000e+00 1.74780000e+00 8.02350000e-01 1.98070000e-01 7.51230000e-02 2.02060000e-02 8.37510000e-03 4.38670000e-03 2.65460000e-03 1.27190000e-03 7.50060000e-04 3.18760000e-04] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.58330000e+05 2.33890000e+05 2.29840000e+05 1.92850000e+05 1.88990000e+05 1.19710000e+05 5.38770000e+04 2.83360000e+04 1.65040000e+04 6.84580000e+03 3.39160000e+03 9.07710000e+02 4.98890000e+02 4.85670000e+02 3.45780000e+02 8.55790000e+01 3.10930000e+01 1.40380000e+01 7.29640000e+00 2.58550000e+00 1.15610000e+00 2.71390000e-01 9.94320000e-02 2.57240000e-02 1.05190000e-02 5.51450000e-03 3.36650000e-03 1.64350000e-03 9.96450000e-04 4.46790000e-04] M3 = [ 1.47210000e+05 6.87780000e+04 3.73300000e+04 2.94420000e+04 2.89090000e+04 2.69410000e+04 2.64490000e+04 2.21540000e+04 2.17400000e+04 1.44470000e+04 6.95790000e+03 3.82980000e+03 2.30840000e+03 1.00630000e+03 5.15540000e+02 1.45140000e+02 8.12510000e+01 7.91590000e+01 5.68770000e+01 1.45160000e+01 5.36440000e+00 2.44890000e+00 1.28270000e+00 4.59160000e-01 2.06610000e-01 4.88660000e-02 1.79870000e-02 4.67410000e-03 1.91470000e-03 1.00480000e-03 6.13990000e-04 3.00520000e-04 1.82410000e-04 8.16950000e-05] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.03740000e+04 3.98340000e+04 2.40650000e+04 1.58770000e+04 1.11100000e+04 6.13700000e+03 3.78110000e+03 1.49290000e+03 9.71350000e+02 9.52700000e+02 7.44830000e+02 2.67020000e+02 1.25160000e+02 6.84710000e+01 4.14470000e+01 1.84990000e+01 9.79470000e+00 3.04110000e+00 1.32380000e+00 4.17840000e-01 1.90270000e-01 1.06370000e-01 6.76950000e-02 3.48290000e-02 2.17060000e-02 1.00590000e-02] JK = 6.60981716823 M1 = [ 5.40340000e+04 2.81610000e+04 1.71010000e+04 1.41420000e+04 1.39390000e+04 1.31830000e+04 1.29920000e+04 1.12950000e+04 1.11290000e+04 8.09150000e+03 4.61940000e+03 2.94020000e+03 2.01030000e+03 1.08170000e+03 6.57830000e+02 2.56540000e+02 1.66530000e+02 1.63320000e+02 1.27590000e+02 4.57210000e+01 2.14630000e+01 1.17620000e+01 7.13150000e+00 3.19140000e+00 1.69310000e+00 5.27410000e-01 2.29860000e-01 7.27060000e-02 3.31420000e-02 1.85370000e-02 1.18010000e-02 6.07200000e-03 3.78410000e-03 1.75320000e-03] all other = [ 4.54180000e+04 2.05250000e+04 1.12080000e+04 8.90320000e+03 8.74810000e+03 8.17460000e+03 8.03120000e+03 6.77740000e+03 6.65680000e+03 4.52360000e+03 2.29630000e+03 1.33350000e+03 8.46360000e+02 4.05910000e+02 2.26650000e+02 7.66900000e+01 4.70340000e+01 4.60170000e+01 3.49190000e+01 1.12820000e+01 4.98920000e+00 2.62990000e+00 1.55150000e+00 6.69800000e-01 3.47430000e-01 1.04910000e-01 4.50380000e-02 1.40240000e-02 6.34370000e-03 3.53210000e-03 2.24170000e-03 1.14920000e-03 7.14690000e-04 3.30500000e-04] total = [ 6.36720000e+05 2.46160000e+05 1.22060000e+05 9.39340000e+04 3.50410000e+05 3.19180000e+05 4.36380000e+05 3.63280000e+05 4.06600000e+05 2.67730000e+05 1.28210000e+05 7.14570000e+04 4.39470000e+04 2.01390000e+04 1.08990000e+04 3.51260000e+03 2.11670000e+03 1.39910000e+04 1.08090000e+04 3.66930000e+03 1.65570000e+03 8.81210000e+02 5.22410000e+02 2.26430000e+02 1.17520000e+02 3.54190000e+01 1.51670000e+01 4.70690000e+00 2.12630000e+00 1.18380000e+00 7.51720000e-01 3.86100000e-01 2.40570000e-01 1.11590000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.19210000e+04 9.25370000e+03 3.18280000e+03 1.44450000e+03 7.71160000e+02 4.58040000e+02 1.98960000e+02 1.03370000e+02 3.11910000e+01 1.33620000e+01 4.14800000e+00 1.87420000e+00 1.04360000e+00 6.62860000e-01 3.40600000e-01 2.12300000e-01 9.85370000e-02] [Zr.binding] K = 17.962 L1 = 2.5148 M5 = 0.1904 M4 = 0.1931 M1 = 0.4221 L3 = 2.2247 M3 = 0.3309 M2 = 0.345 L2 = 2.3123 [Er] JL1 = 1.13207948279 JL3 = 2.63825923607 JL2 = 1.34648042471 energy = [ 1.00000000e+00 1.41050000e+00 1.42170000e+00 1.45360000e+00 1.46520000e+00 1.50000000e+00 1.79440000e+00 1.80880000e+00 1.99020000e+00 2.00000000e+00 2.00610000e+00 2.18760000e+00 2.20510000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 8.33880000e+00 8.40550000e+00 9.26600000e+00 9.34020000e+00 9.70870000e+00 9.78650000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 5.75310000e+01 5.79910000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.24967989757 M5 = [ 0.00000000e+00 0.00000000e+00 3.50060000e+05 8.38160000e+05 8.44080000e+05 8.06590000e+05 5.03920000e+05 4.93600000e+05 3.84510000e+05 3.79570000e+05 3.76520000e+05 3.01410000e+05 2.95120000e+05 1.24620000e+05 5.24410000e+04 2.59700000e+04 1.43520000e+04 5.44110000e+03 4.71620000e+03 4.58790000e+03 3.26570000e+03 3.17550000e+03 2.77120000e+03 2.69430000e+03 2.49630000e+03 5.73100000e+02 1.93880000e+02 4.00590000e+01 1.27220000e+01 5.16690000e+00 2.92200000e+00 2.82870000e+00 2.46240000e+00 7.62430000e-01 3.07770000e-01 6.06990000e-02 1.98850000e-02 4.46550000e-03 1.66990000e-03 8.13480000e-04 4.73920000e-04 2.17390000e-04 1.24870000e-04 5.20600000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.15870000e+05 5.34860000e+05 3.51710000e+05 3.44610000e+05 2.69470000e+05 2.66060000e+05 2.63940000e+05 2.11920000e+05 2.07490000e+05 8.89080000e+04 3.79110000e+04 1.89590000e+04 1.05630000e+04 4.05990000e+03 3.52630000e+03 3.43170000e+03 2.45510000e+03 2.38830000e+03 2.08830000e+03 2.03120000e+03 1.88410000e+03 4.42610000e+02 1.52510000e+02 3.24470000e+01 1.05490000e+01 4.36960000e+00 2.50330000e+00 2.42520000e+00 2.11800000e+00 6.74240000e-01 2.78140000e-01 5.68670000e-02 1.89780000e-02 4.29010000e-03 1.57940000e-03 7.58720000e-04 4.30850000e-04 1.84540000e-04 1.02010000e-04 3.88700000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.65870000e+04 2.39960000e+04 1.55650000e+04 1.07370000e+04 7.80230000e+03 4.61130000e+03 4.26460000e+03 4.20050000e+03 3.48660000e+03 3.43360000e+03 3.18700000e+03 3.13830000e+03 3.00950000e+03 1.33460000e+03 7.28820000e+02 2.98620000e+02 1.54140000e+02 9.08310000e+01 6.46910000e+01 6.34440000e+01 5.83780000e+01 2.85680000e+01 1.62000000e+01 5.65430000e+00 2.65550000e+00 9.21600000e-01 4.43990000e-01 2.57200000e-01 1.67490000e-01 8.81680000e-02 5.53400000e-02 2.54360000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.70160000e+05 1.45880000e+05 1.44910000e+05 1.44290000e+05 1.26230000e+05 1.24590000e+05 7.45170000e+04 4.31050000e+04 2.71170000e+04 1.81550000e+04 9.29200000e+03 8.40390000e+03 8.24220000e+03 6.48790000e+03 6.36080000e+03 5.77500000e+03 5.66050000e+03 5.36090000e+03 1.85460000e+03 8.35030000e+02 2.56110000e+02 1.06800000e+02 5.32420000e+01 3.41390000e+01 3.32830000e+01 2.98570000e+01 1.18200000e+01 5.71430000e+00 1.51880000e+00 5.99040000e-01 1.68060000e-01 7.15070000e-02 3.82200000e-02 2.35060000e-02 1.15220000e-02 6.94290000e-03 3.02740000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.12490000e+04 6.06460000e+04 5.42830000e+04 5.38130000e+04 3.51520000e+04 2.18260000e+04 1.43820000e+04 9.96750000e+03 5.35120000e+03 4.87420000e+03 4.78700000e+03 3.82660000e+03 3.75610000e+03 3.43070000e+03 3.36700000e+03 3.20010000e+03 1.17870000e+03 5.54730000e+02 1.81430000e+02 7.93660000e+01 4.11320000e+01 2.70470000e+01 2.64070000e+01 2.38360000e+01 9.96120000e+00 5.03090000e+00 1.45110000e+00 6.06100000e-01 1.82940000e-01 8.11140000e-02 4.43890000e-02 2.77280000e-02 1.37980000e-02 8.34360000e-03 3.66190000e-03] total = [ 7.60230000e+05 3.87500000e+05 7.31300000e+05 1.20250000e+06 1.41840000e+06 1.68290000e+06 1.08990000e+06 1.23860000e+06 9.87120000e+05 1.03700000e+06 1.02940000e+06 8.45960000e+05 8.67070000e+05 4.21540000e+05 2.08600000e+05 1.19170000e+05 7.48950000e+04 3.55930000e+04 3.19400000e+04 8.42660000e+04 6.53630000e+04 8.80100000e+04 7.99670000e+04 9.05290000e+04 8.57990000e+04 2.99950000e+04 1.39310000e+04 4.62300000e+03 2.08910000e+03 1.12200000e+03 7.57570000e+02 3.97700000e+03 3.65100000e+03 1.70580000e+03 9.34850000e+02 3.07960000e+02 1.39500000e+02 4.64980000e+01 2.19530000e+01 1.25810000e+01 8.14440000e+00 4.26820000e+00 2.67660000e+00 1.23240000e+00] JM2 = 1.05053083718 JM3 = 1.13643453528 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.23620000e+03 2.97770000e+03 1.40630000e+03 7.75440000e+02 2.57280000e+02 1.16880000e+02 3.90610000e+01 1.84690000e+01 1.05970000e+01 6.86760000e+00 3.60540000e+00 2.26400000e+00 1.04460000e+00] JM1 = 1.02495389853 M = [ 0.00000000e+00 0.00000000e+00 3.50060000e+05 8.38160000e+05 1.05990000e+06 1.34150000e+06 8.55630000e+05 1.00840000e+06 7.99860000e+05 8.51780000e+05 8.45400000e+05 6.93840000e+05 7.17610000e+05 3.47190000e+05 1.70850000e+05 9.71650000e+04 6.08400000e+04 2.87550000e+04 2.57850000e+04 2.52490000e+04 1.95220000e+04 1.91140000e+04 1.72520000e+04 1.68910000e+04 1.59510000e+04 5.38360000e+03 2.46500000e+03 8.08660000e+02 3.63580000e+02 1.94740000e+02 1.31300000e+02 1.28390000e+02 1.16650000e+02 5.17860000e+01 2.75310000e+01 8.74180000e+00 3.89950000e+00 1.28140000e+00 5.99860000e-01 3.41380000e-01 2.19620000e-01 1.13890000e-01 7.08540000e-02 3.22160000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.29860000e+04 4.11360000e+04 6.42850000e+04 5.85400000e+04 6.95470000e+04 6.59780000e+04 2.32650000e+04 1.08380000e+04 3.60370000e+03 1.62960000e+03 8.75460000e+02 5.91160000e+02 5.78070000e+02 5.25380000e+02 2.33730000e+02 1.24410000e+02 3.95500000e+01 1.76490000e+01 5.80190000e+00 2.71740000e+00 1.54730000e+00 9.96140000e-01 5.17170000e-01 3.22040000e-01 1.46660000e-01] JM4 = 1.17954261954 JM5 = 1.88722580645 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.40030000e+04 2.20980000e+04 2.15900000e+04 2.03440000e+04 6.94910000e+03 3.08430000e+03 9.41130000e+02 3.94850000e+02 1.99060000e+02 1.28870000e+02 1.25710000e+02 1.13080000e+02 4.59980000e+01 2.28310000e+01 6.42300000e+00 2.64730000e+00 7.88160000e-01 3.47100000e-01 1.89220000e-01 1.17930000e-01 5.84130000e-02 3.52800000e-02 1.54330000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.29860000e+04 4.11360000e+04 4.02830000e+04 3.64420000e+04 3.56960000e+04 3.37380000e+04 1.05840000e+04 4.49930000e+03 1.28530000e+03 5.14370000e+02 2.49520000e+02 1.57580000e+02 1.53500000e+02 1.37230000e+02 5.29250000e+01 2.51600000e+01 6.52990000e+00 2.54320000e+00 7.04400000e-01 2.97860000e-01 1.58640000e-01 9.75520000e-02 4.77510000e-02 2.87320000e-02 1.25510000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.22610000e+04 1.18970000e+04 5.73200000e+03 3.25430000e+03 1.37730000e+03 7.20420000e+02 4.26880000e+02 3.04710000e+02 2.98860000e+02 2.75070000e+02 1.34810000e+02 7.64150000e+01 2.65970000e+01 1.24590000e+01 4.30940000e+00 2.07240000e+00 1.19940000e+00 7.80660000e-01 4.11000000e-01 2.58020000e-01 1.18670000e-01] all other = [ 7.60230000e+05 3.87500000e+05 3.81240000e+05 3.64340000e+05 3.58420000e+05 3.41490000e+05 2.34230000e+05 2.30270000e+05 1.87260000e+05 1.85270000e+05 1.84030000e+05 1.52130000e+05 1.49460000e+05 7.43470000e+04 3.77570000e+04 2.20090000e+04 1.40550000e+04 6.83720000e+03 6.15480000e+03 6.03150000e+03 4.70500000e+03 4.61000000e+03 4.17490000e+03 4.09030000e+03 3.86970000e+03 1.34700000e+03 6.28150000e+02 2.10660000e+02 9.59290000e+01 5.18220000e+01 3.51080000e+01 3.43380000e+01 3.12340000e+01 1.39830000e+01 7.47560000e+00 2.39290000e+00 1.07220000e+00 3.54030000e-01 1.66150000e-01 9.46970000e-02 6.09890000e-02 3.16640000e-02 1.97120000e-02 8.96910000e-03] [Er.binding] K = 57.5881 L1 = 9.7184 M5 = 1.4119 M4 = 1.455 M1 = 2.1898 L3 = 8.3471 M3 = 1.7962 M2 = 1.9922 L2 = 9.2752 [Ni] JL1 = 1.11640535858 energy = [ 1.00000000e+00 1.00550000e+00 1.01360000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 8.29460000e+00 8.36100000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 2.61950000e+04 2.58760000e+04 2.54200000e+04 1.00970000e+04 4.84980000e+03 1.60900000e+03 7.02250000e+02 3.59770000e+02 2.04980000e+02 8.20960000e+01 7.30140000e+01 7.11460000e+01 3.95350000e+01 1.00580000e+01 3.69920000e+00 8.72960000e-01 3.08130000e-01 1.36390000e-01 6.99170000e-02 2.43540000e-02 1.07880000e-02 2.51140000e-03 9.18730000e-04 2.36630000e-04 9.56780000e-05 4.93190000e-05 2.95100000e-05 1.38780000e-05 8.10530000e-06 3.39490000e-06] M = [ 1.24020000e+05 1.22430000e+05 1.20160000e+05 4.67550000e+04 2.27840000e+04 8.01940000e+03 3.74940000e+03 2.05760000e+03 1.25220000e+03 5.65890000e+02 5.11690000e+02 5.00440000e+02 3.03210000e+02 9.60340000e+01 4.19480000e+01 1.28190000e+01 5.45930000e+00 2.79720000e+00 1.61150000e+00 6.71710000e-01 3.39450000e-01 9.80620000e-02 4.09160000e-02 1.23030000e-02 5.45450000e-03 3.00020000e-03 1.89020000e-03 9.62720000e-04 5.98200000e-04 2.78180000e-04] L = [ 8.34310000e+05 8.22510000e+05 9.35010000e+05 3.64700000e+05 1.76040000e+05 6.05610000e+04 2.78150000e+04 1.50720000e+04 9.08770000e+03 4.05670000e+03 3.66320000e+03 3.58170000e+03 2.15660000e+03 6.74790000e+02 2.92600000e+02 8.86840000e+01 3.75950000e+01 1.92020000e+01 1.10490000e+01 4.59260000e+00 2.31660000e+00 6.67490000e-01 2.78110000e-01 8.34970000e-02 3.70030000e-02 2.03470000e-02 1.28170000e-02 6.52730000e-03 4.05570000e-03 1.88580000e-03] M5 = [ 1.28700000e+04 1.26310000e+04 1.22930000e+04 3.12260000e+03 1.09030000e+03 2.32360000e+02 7.40780000e+01 2.97110000e+01 1.38580000e+01 4.03530000e+00 3.45260000e+00 3.33570000e+00 1.53430000e+00 2.57190000e-01 7.05270000e-02 1.10670000e-02 2.95170000e-03 1.05850000e-03 4.58870000e-04 1.23660000e-04 4.52720000e-05 7.64140000e-06 2.28510000e-06 4.64730000e-07 1.65990000e-07 8.01010000e-08 4.61020000e-08 2.10080000e-08 1.22040000e-08 5.22590000e-09] M4 = [ 8.78490000e+03 8.62220000e+03 8.39230000e+03 2.13870000e+03 7.48660000e+02 1.60180000e+02 5.12380000e+01 2.06110000e+01 9.63880000e+00 2.83580000e+00 2.42800000e+00 2.34620000e+00 1.08330000e+00 1.83340000e-01 5.07020000e-02 8.07430000e-03 2.17990000e-03 7.90340000e-04 3.45650000e-04 9.45970000e-05 3.50480000e-05 6.02090000e-06 1.80590000e-06 3.61070000e-07 1.24110000e-07 5.69210000e-08 3.11440000e-08 1.28170000e-08 6.85680000e-09 2.50290000e-09] L2 = [ 2.82880000e+05 2.78890000e+05 2.73230000e+05 1.00830000e+05 4.58450000e+04 1.41550000e+04 5.90900000e+03 2.93870000e+03 1.63940000e+03 6.38620000e+02 5.66250000e+02 5.51390000e+02 3.02160000e+02 7.48620000e+01 2.71230000e+01 6.30130000e+00 2.20360000e+00 9.70090000e-01 4.95360000e-01 1.71670000e-01 7.58030000e-02 1.75640000e-02 6.40760000e-03 1.64480000e-03 6.66750000e-04 3.43600000e-04 2.05670000e-04 9.65360000e-05 5.65510000e-05 2.36570000e-05] L3 = [ 5.51430000e+05 5.43620000e+05 5.32560000e+05 1.94520000e+05 8.77470000e+04 2.68170000e+04 1.11110000e+04 5.49250000e+03 3.04800000e+03 1.17690000e+03 1.04230000e+03 1.01470000e+03 5.52670000e+02 1.34820000e+02 4.82240000e+01 1.09660000e+01 3.76620000e+00 1.63190000e+00 8.21530000e-01 2.77730000e-01 1.20090000e-01 2.67330000e-02 9.49740000e-03 2.37730000e-03 9.55350000e-04 4.96350000e-04 3.01780000e-04 1.47970000e-04 8.98030000e-05 4.07920000e-05] M3 = [ 5.09540000e+04 5.03250000e+04 4.94290000e+04 1.94420000e+04 9.27270000e+03 3.04540000e+03 1.31920000e+03 6.71710000e+02 3.80690000e+02 1.51100000e+02 1.34220000e+02 1.30750000e+02 7.22060000e+01 1.80810000e+01 6.56470000e+00 1.51660000e+00 5.24490000e-01 2.28520000e-01 1.15470000e-01 3.92290000e-02 1.70160000e-02 3.80360000e-03 1.35410000e-03 3.39540000e-04 1.36870000e-04 7.11770000e-05 4.33040000e-05 2.11970000e-05 1.29030000e-05 5.84210000e-06] L1 = [ 0.00000000e+00 0.00000000e+00 1.29220000e+05 6.93550000e+04 4.24460000e+04 1.95880000e+04 1.07950000e+04 6.64080000e+03 4.40030000e+03 2.24120000e+03 2.05470000e+03 2.01560000e+03 1.30180000e+03 4.65100000e+02 2.17260000e+02 7.14170000e+01 3.16260000e+01 1.66000000e+01 9.73170000e+00 4.14320000e+00 2.12080000e+00 6.23200000e-01 2.62200000e-01 7.94740000e-02 3.53810000e-02 1.95070000e-02 1.23100000e-02 6.28280000e-03 3.90940000e-03 1.82140000e-03] JK = 7.55019793008 M1 = [ 2.52190000e+04 2.49730000e+04 2.46220000e+04 1.19540000e+04 6.82250000e+03 2.97240000e+03 1.60270000e+03 9.75790000e+02 6.43040000e+02 3.25820000e+02 2.98570000e+02 2.92860000e+02 1.88850000e+02 6.74540000e+01 3.15630000e+01 1.04110000e+01 4.62160000e+00 2.43040000e+00 1.42530000e+00 6.07910000e-01 3.11560000e-01 9.17330000e-02 3.86390000e-02 1.17260000e-02 5.22170000e-03 2.87960000e-03 1.81730000e-03 9.27610000e-04 5.77180000e-04 2.68930000e-04] all other = [ 1.60570000e+03 1.58950000e+03 1.56640000e+03 7.49140000e+02 4.24480000e+02 1.83670000e+02 9.93830000e+01 6.04280000e+01 3.97920000e+01 2.01480000e+01 1.84620000e+01 1.81090000e+01 1.16750000e+01 4.16910000e+00 1.95090000e+00 6.43530000e-01 2.85690000e-01 1.50230000e-01 8.82000000e-02 3.76270000e-02 1.92870000e-02 5.67950000e-03 2.39250000e-03 7.26140000e-04 3.23440000e-04 1.78440000e-04 1.12660000e-04 5.75860000e-05 3.59110000e-05 1.68820000e-05] total = [ 9.59940000e+05 9.46520000e+05 1.05670000e+06 4.12210000e+05 1.99250000e+05 6.87640000e+04 3.16640000e+04 1.71900000e+04 1.03800000e+04 4.64280000e+03 4.19340000e+03 3.16610000e+04 2.02260000e+04 6.80720000e+03 3.06850000e+03 9.63210000e+02 4.14820000e+02 2.13660000e+02 1.23570000e+02 5.16510000e+01 2.61270000e+01 7.54850000e+00 3.14760000e+00 9.45490000e-01 4.19050000e-01 2.30530000e-01 1.45310000e-01 7.40990000e-02 4.61020000e-02 2.14940000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.75600000e+04 1.77550000e+04 6.03220000e+03 2.73200000e+03 8.61060000e+02 3.71480000e+02 1.91510000e+02 1.10820000e+02 4.63490000e+01 2.34510000e+01 6.77730000e+00 2.82620000e+00 8.48960000e-01 3.76270000e-01 2.07010000e-01 1.30490000e-01 6.65510000e-02 4.14130000e-02 1.93130000e-02] [Ni.binding] K = 8.3029 L1 = 1.0065 M5 = 0.0147 M4 = 0.0149 M1 = 0.1187 L3 = 0.867 M3 = 0.0782 M2 = 0.0805 L2 = 0.885 [Na] energy = [ 1.00000000e+00 1.06290000e+00 1.07140000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 11.6311083779 M = [ 2.23060000e+02 1.93650000e+02 1.90090000e+02 8.55520000e+01 4.16390000e+01 1.44640000e+01 6.64020000e+00 3.57050000e+00 2.12930000e+00 9.25800000e-01 4.78560000e-01 1.40410000e-01 5.77670000e-02 1.61670000e-02 6.46490000e-03 3.15630000e-03 1.75160000e-03 6.89170000e-04 3.33910000e-04 8.99720000e-05 3.59350000e-05 1.02590000e-05 4.42010000e-06 2.39220000e-06 1.49360000e-06 7.57510000e-07 4.73260000e-07 2.27310000e-07] L = [ 2.46770000e+04 2.09450000e+04 2.05000000e+04 8.20160000e+03 3.69690000e+03 1.17740000e+03 5.14910000e+02 2.68620000e+02 1.56850000e+02 6.63390000e+01 3.37100000e+01 9.66350000e+00 3.92880000e+00 1.08630000e+00 4.31810000e-01 2.10050000e-01 1.16290000e-01 4.56210000e-02 2.20650000e-02 5.93230000e-03 2.36730000e-03 6.75150000e-04 2.90660000e-04 1.57150000e-04 9.80310000e-05 4.95430000e-05 3.07940000e-05 1.44910000e-05] L2 = [ 3.35610000e+03 2.74710000e+03 2.67580000e+03 8.65110000e+02 3.20090000e+02 7.54920000e+01 2.62970000e+01 1.14110000e+01 5.70700000e+00 1.87680000e+00 7.81470000e-01 1.55910000e-01 4.93470000e-02 9.64110000e-03 3.01770000e-03 1.22750000e-03 5.90150000e-04 1.87540000e-04 7.79640000e-05 1.64060000e-05 5.64990000e-06 1.35490000e-06 5.26280000e-07 2.64040000e-07 1.54790000e-07 7.10050000e-08 4.09320000e-08 1.67340000e-08] L3 = [ 6.62000000e+03 5.41700000e+03 5.27630000e+03 1.70280000e+03 6.29000000e+02 1.47960000e+02 5.14270000e+01 2.22670000e+01 1.11140000e+01 3.64210000e+00 1.51220000e+00 2.99540000e-01 9.38260000e-02 1.81010000e-02 5.60270000e-03 2.25470000e-03 1.07400000e-03 3.35540000e-04 1.37450000e-04 2.81770000e-05 9.54210000e-06 2.27030000e-06 8.90810000e-07 4.57590000e-07 2.77370000e-07 1.35710000e-07 8.25910000e-08 3.81660000e-08] L1 = [ 1.47010000e+04 1.27810000e+04 1.25480000e+04 5.63360000e+03 2.74780000e+03 9.53940000e+02 4.37180000e+02 2.34940000e+02 1.40030000e+02 6.08200000e+01 3.14170000e+01 9.20810000e+00 3.78560000e+00 1.05850000e+00 4.23190000e-01 2.06570000e-01 1.14630000e-01 4.50980000e-02 2.18500000e-02 5.88780000e-03 2.35210000e-03 6.71520000e-04 2.89240000e-04 1.56430000e-04 9.75990000e-05 4.93360000e-05 3.06710000e-05 1.44360000e-05] M1 = [ 2.23060000e+02 1.93650000e+02 1.90090000e+02 8.55520000e+01 4.16390000e+01 1.44640000e+01 6.64020000e+00 3.57050000e+00 2.12930000e+00 9.25800000e-01 4.78560000e-01 1.40410000e-01 5.77670000e-02 1.61670000e-02 6.46490000e-03 3.15630000e-03 1.75160000e-03 6.89170000e-04 3.33910000e-04 8.99720000e-05 3.59350000e-05 1.02590000e-05 4.42010000e-06 2.39220000e-06 1.49360000e-06 7.57510000e-07 4.73260000e-07 2.27310000e-07] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 2.49000000e+04 2.11390000e+04 2.45870000e+05 1.21850000e+05 5.79850000e+04 1.93020000e+04 8.58550000e+03 4.51610000e+03 2.64930000e+03 1.12590000e+03 5.73550000e+02 1.64820000e+02 6.70430000e+01 1.85280000e+01 7.35830000e+00 3.57710000e+00 1.97930000e+00 7.75900000e-01 3.75070000e-01 1.00740000e-01 4.01790000e-02 1.14490000e-02 4.93340000e-03 2.66740000e-03 1.66400000e-03 8.41090000e-04 5.22820000e-04 2.45970000e-04] K = [ 0.00000000e+00 0.00000000e+00 2.25180000e+05 1.13560000e+05 5.42470000e+04 1.81100000e+04 8.06400000e+03 4.24390000e+03 2.49030000e+03 1.05870000e+03 5.39360000e+02 1.55010000e+02 6.30560000e+01 1.74260000e+01 6.92000000e+00 3.36390000e+00 1.86130000e+00 7.29590000e-01 3.52670000e-01 9.47220000e-02 3.77750000e-02 1.07630000e-02 4.63830000e-03 2.50790000e-03 1.56440000e-03 7.90790000e-04 4.91550000e-04 2.31250000e-04] [Na.binding] M1 = 0.0051 K = 1.064 L2 = 0.0364 L3 = 0.0362 L1 = 0.0645 [Nb] JL1 = 1.12113811569 JL3 = 3.65888757502 JL2 = 1.36583154218 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.36670000e+00 2.38560000e+00 2.46430000e+00 2.48400000e+00 2.67380000e+00 2.69520000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.89290000e+01 1.90810000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 7.78000000e+04 3.79970000e+04 2.11930000e+04 1.46750000e+04 1.44150000e+04 1.34000000e+04 1.31610000e+04 1.11190000e+04 1.09160000e+04 8.48980000e+03 4.18590000e+03 2.34590000e+03 1.43460000e+03 6.39880000e+02 3.33770000e+02 9.72340000e+01 4.66370000e+01 4.54620000e+01 3.90960000e+01 1.03750000e+01 3.95130000e+00 1.84960000e+00 9.90000000e-01 3.67440000e-01 1.70290000e-01 4.26220000e-02 1.63290000e-02 4.43300000e-03 1.84660000e-03 9.70220000e-04 5.88730000e-04 2.81930000e-04 1.66420000e-04 7.07490000e-05] M = [ 6.54890000e+05 2.50760000e+05 1.23390000e+05 8.07740000e+04 7.91570000e+04 7.28970000e+04 7.14330000e+04 5.92000000e+04 5.80040000e+04 4.40410000e+04 2.08050000e+04 1.15140000e+04 7.05850000e+03 3.23060000e+03 1.74940000e+03 5.65570000e+02 2.93450000e+02 2.86900000e+02 2.51070000e+02 7.88080000e+01 3.43130000e+01 1.79100000e+01 1.04960000e+01 4.49280000e+00 2.31870000e+00 6.95730000e-01 2.97660000e-01 9.24680000e-02 4.17890000e-02 2.32570000e-02 1.47540000e-02 7.55680000e-03 4.69500000e-03 2.16460000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.40130000e+05 2.16770000e+05 3.27310000e+05 2.73940000e+05 3.16430000e+05 2.44030000e+05 1.17280000e+05 6.55760000e+04 4.03910000e+04 1.85460000e+04 1.00440000e+04 3.23960000e+03 1.67840000e+03 1.64080000e+03 1.43530000e+03 4.49400000e+02 1.95320000e+02 1.01810000e+02 5.95970000e+01 2.54690000e+01 1.31290000e+01 3.93190000e+00 1.68120000e+00 5.21610000e-01 2.35590000e-01 1.31070000e-01 8.31480000e-02 4.25920000e-02 2.64660000e-02 1.22080000e-02] M5 = [ 2.15940000e+05 6.44430000e+04 2.56640000e+04 1.46560000e+04 1.42670000e+04 1.27820000e+04 1.24410000e+04 9.67300000e+03 9.41130000e+03 6.48900000e+03 2.32140000e+03 1.01630000e+03 5.08570000e+02 1.65730000e+02 6.78630000e+01 1.27540000e+01 4.76460000e+00 4.60520000e+00 3.76640000e+00 6.53370000e-01 1.85880000e-01 6.97930000e-02 3.13280000e-02 8.88280000e-03 3.35590000e-03 6.00520000e-04 1.85560000e-04 3.92950000e-05 1.43210000e-05 6.89700000e-06 3.95650000e-06 1.84040000e-06 1.03410000e-06 4.32170000e-07] M4 = [ 1.48040000e+05 4.44520000e+04 1.77840000e+04 1.01840000e+04 9.91520000e+03 8.88840000e+03 8.65200000e+03 6.73580000e+03 6.55450000e+03 4.52800000e+03 1.62890000e+03 7.16470000e+02 3.60050000e+02 1.18180000e+02 4.86990000e+01 9.27660000e+00 3.49750000e+00 3.38160000e+00 2.77120000e+00 4.89920000e-01 1.41540000e-01 5.38450000e-02 2.44480000e-02 7.06100000e-03 2.72280000e-03 4.98960000e-04 1.55730000e-04 3.25880000e-05 1.14630000e-05 5.37330000e-06 2.98690000e-06 1.24210000e-06 6.88750000e-07 2.75090000e-07] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.14430000e+05 9.45340000e+04 9.28380000e+04 7.07580000e+04 3.25170000e+04 1.73750000e+04 1.02440000e+04 4.34530000e+03 2.18890000e+03 6.04580000e+02 2.82920000e+02 2.75580000e+02 2.35930000e+02 6.05910000e+01 2.26630000e+01 1.04840000e+01 5.56590000e+00 2.04400000e+00 9.41120000e-01 2.33490000e-01 8.88360000e-02 2.39850000e-02 9.96430000e-03 5.22690000e-03 3.16650000e-03 1.51860000e-03 8.95960000e-04 3.81630000e-04] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.40130000e+05 2.16770000e+05 2.12890000e+05 1.79410000e+05 1.75820000e+05 1.31970000e+05 5.96620000e+04 3.15030000e+04 1.83950000e+04 7.67370000e+03 3.81590000e+03 1.02810000e+03 4.73690000e+02 4.61140000e+02 3.93470000e+02 9.79800000e+01 3.57460000e+01 1.61890000e+01 8.43470000e+00 2.99950000e+00 1.34460000e+00 3.16940000e-01 1.16410000e-01 3.01980000e-02 1.23650000e-02 6.48590000e-03 3.96050000e-03 1.93370000e-03 1.17300000e-03 5.24440000e-04] M3 = [ 1.56460000e+05 7.41140000e+04 4.06070000e+04 2.78480000e+04 2.73430000e+04 2.53690000e+04 2.49040000e+04 2.09590000e+04 2.05670000e+04 1.59010000e+04 7.72120000e+03 4.27590000e+03 2.58940000e+03 1.13660000e+03 5.85240000e+02 1.66240000e+02 7.84780000e+01 7.64590000e+01 6.55310000e+01 1.68520000e+01 6.25820000e+00 2.86710000e+00 1.50590000e+00 5.41250000e-01 2.44240000e-01 5.81230000e-02 2.14140000e-02 5.58110000e-03 2.29040000e-03 1.20320000e-03 7.34960000e-04 3.59840000e-04 2.18460000e-04 9.78550000e-05] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.77750000e+04 4.13070000e+04 2.51060000e+04 1.66980000e+04 1.17520000e+04 6.52670000e+03 4.03920000e+03 1.60700000e+03 9.21750000e+02 9.04050000e+02 8.05930000e+02 2.90830000e+02 1.36920000e+02 7.51390000e+01 4.55960000e+01 2.04260000e+01 1.08430000e+01 3.38150000e+00 1.47600000e+00 4.67430000e-01 2.13260000e-01 1.19360000e-01 7.60210000e-02 3.91400000e-02 2.43970000e-02 1.13020000e-02] JK = 6.54900599871 M1 = [ 5.66470000e+04 2.97530000e+04 1.81440000e+04 1.34100000e+04 1.32170000e+04 1.24560000e+04 1.22760000e+04 1.07140000e+04 1.05560000e+04 8.63330000e+03 4.94760000e+03 3.15920000e+03 2.16580000e+03 1.17010000e+03 7.13870000e+02 2.80060000e+02 1.60080000e+02 1.56990000e+02 1.39900000e+02 5.04390000e+01 2.37760000e+01 1.30700000e+01 7.94390000e+00 3.56810000e+00 1.89810000e+00 5.93890000e-01 2.59570000e-01 8.23820000e-02 3.76260000e-02 2.10710000e-02 1.34230000e-02 6.91190000e-03 4.30840000e-03 1.99530000e-03] all other = [ 5.36680000e+04 2.38220000e+04 1.28890000e+04 8.86880000e+03 8.71080000e+03 8.09350000e+03 7.94860000e+03 6.71980000e+03 6.59790000e+03 5.14960000e+03 2.60050000e+03 1.50560000e+03 9.53620000e+02 4.56020000e+02 2.54080000e+02 8.56860000e+01 4.53110000e+01 4.43260000e+01 3.89410000e+01 1.25550000e+01 5.54740000e+00 2.92290000e+00 1.72420000e+00 7.44530000e-01 3.86360000e-01 1.16820000e-01 5.02040000e-02 1.56580000e-02 7.09050000e-03 3.95060000e-03 2.50820000e-03 1.28610000e-03 7.99570000e-04 3.69220000e-04] total = [ 7.08560000e+05 2.74580000e+05 1.36280000e+05 8.96420000e+04 3.27990000e+05 2.97760000e+05 4.06690000e+05 3.39860000e+05 3.81030000e+05 2.93220000e+05 1.40690000e+05 7.85960000e+04 4.84030000e+04 2.22320000e+04 1.20470000e+04 3.89090000e+03 2.01710000e+03 1.32100000e+04 1.17340000e+04 4.01160000e+03 1.81480000e+03 9.68370000e+02 5.75280000e+02 2.50010000e+02 1.30030000e+02 3.93190000e+01 1.68720000e+01 5.24970000e+00 2.37520000e+00 1.32370000e+00 8.41100000e-01 4.32280000e-01 2.69390000e-01 1.24900000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.12380000e+04 1.00090000e+04 3.47080000e+03 1.57960000e+03 8.45720000e+02 5.03460000e+02 2.19310000e+02 1.14190000e+02 3.45740000e+01 1.48430000e+01 4.62000000e+00 2.09070000e+00 1.16540000e+00 7.40690000e-01 3.80840000e-01 2.37430000e-01 1.10160000e-01] [Nb.binding] K = 18.9482 L1 = 2.6765 M5 = 0.2118 M4 = 0.2148 M1 = 0.4561 L3 = 2.369 M3 = 0.3593 M2 = 0.3753 L2 = 2.4668 [Nd] JL1 = 1.13114609904 JL3 = 2.76542254883 JL2 = 1.33833573631 energy = [ 1.00000000e+00 1.00630000e+00 1.01430000e+00 1.28580000e+00 1.29610000e+00 1.39170000e+00 1.40290000e+00 1.50000000e+00 1.55070000e+00 1.56310000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 6.19430000e+00 6.24390000e+00 6.72100000e+00 6.77480000e+00 7.08720000e+00 7.14390000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 4.35590000e+01 4.39080000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.59854596671 M5 = [ 1.12200000e+06 1.21610000e+06 1.25780000e+06 6.88900000e+05 6.75490000e+05 5.65560000e+05 5.54270000e+05 4.70330000e+05 4.32180000e+05 4.23500000e+05 2.16770000e+05 6.55110000e+04 2.65070000e+04 1.27410000e+04 6.86990000e+03 6.15570000e+03 5.98850000e+03 4.63880000e+03 4.51150000e+03 3.85270000e+03 3.74620000e+03 2.50910000e+03 1.11940000e+03 2.44570000e+02 7.98580000e+01 1.57420000e+01 4.84890000e+00 3.41010000e+00 3.29940000e+00 1.92540000e+00 9.01710000e-01 2.72310000e-01 1.08060000e-01 2.07620000e-02 6.69750000e-03 1.47880000e-03 5.45170000e-04 2.67640000e-04 1.55900000e-04 7.05930000e-05 4.04610000e-05 1.68860000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 3.93240000e+05 4.74080000e+05 4.65010000e+05 3.90550000e+05 3.82880000e+05 3.23520000e+05 2.99380000e+05 2.93390000e+05 1.51700000e+05 4.65290000e+04 1.90050000e+04 9.20970000e+03 5.00000000e+03 4.48620000e+03 4.36570000e+03 3.39070000e+03 3.29880000e+03 2.82250000e+03 2.74540000e+03 1.84720000e+03 8.32200000e+02 1.85430000e+02 6.15240000e+01 1.24470000e+01 3.91540000e+00 2.77190000e+00 2.68370000e+00 1.58260000e+00 7.52680000e-01 2.33100000e-01 9.43350000e-02 1.87100000e-02 6.12860000e-03 1.35430000e-03 4.95160000e-04 2.35150000e-04 1.31810000e-04 5.70390000e-05 3.09890000e-05 1.22000000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.15850000e+04 3.73540000e+04 2.01910000e+04 1.24310000e+04 8.35260000e+03 5.96320000e+03 5.61470000e+03 5.53060000e+03 4.80910000e+03 4.73650000e+03 4.34400000e+03 4.27760000e+03 3.43090000e+03 2.19880000e+03 9.45250000e+02 5.04980000e+02 2.00360000e+02 1.01050000e+02 8.21300000e+01 8.05440000e+01 5.84800000e+01 3.70340000e+01 1.77110000e+01 9.86950000e+00 3.34140000e+00 1.53770000e+00 5.19920000e-01 2.46510000e-01 1.41340000e-01 9.13620000e-02 4.77620000e-02 2.99020000e-02 1.37630000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.15650000e+05 1.97700000e+05 1.96020000e+05 1.79640000e+05 1.70970000e+05 1.68900000e+05 1.14680000e+05 5.48490000e+04 3.02030000e+04 1.83780000e+04 1.19950000e+04 1.11110000e+04 1.08990000e+04 9.11500000e+03 8.93840000e+03 7.99650000e+03 7.83960000e+03 5.89990000e+03 3.30520000e+03 1.08710000e+03 4.72830000e+02 1.38380000e+02 5.59350000e+01 4.25660000e+01 4.14880000e+01 2.72530000e+01 1.50120000e+01 5.78710000e+00 2.74490000e+00 7.07490000e-01 2.73920000e-01 7.52810000e-02 3.17270000e-02 1.68370000e-02 1.03470000e-02 5.08080000e-03 3.06210000e-03 1.35050000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.34000000e+04 7.79080000e+04 7.54970000e+04 7.48370000e+04 5.36030000e+04 2.78520000e+04 1.60280000e+04 1.00460000e+04 6.70680000e+03 6.23780000e+03 6.12500000e+03 5.16530000e+03 5.07000000e+03 4.56160000e+03 4.47670000e+03 3.41410000e+03 1.96400000e+03 6.77540000e+02 3.05180000e+02 9.40930000e+01 3.95710000e+01 3.04850000e+01 2.97470000e+01 1.99190000e+01 1.12830000e+01 4.55680000e+00 2.24500000e+00 6.21480000e-01 2.52950000e-01 7.39810000e-02 3.22080000e-02 1.74420000e-02 1.07950000e-02 5.30630000e-03 3.18810000e-03 1.38400000e-03] total = [ 1.58510000e+06 1.67390000e+06 2.10210000e+06 1.44940000e+06 1.63800000e+06 1.39810000e+06 1.45690000e+06 1.26090000e+06 1.17350000e+06 1.20450000e+06 6.87440000e+05 2.60090000e+05 1.26980000e+05 7.19590000e+04 4.49440000e+04 4.13680000e+04 1.14400000e+05 9.50210000e+04 1.27170000e+05 1.13690000e+05 1.28600000e+05 9.70940000e+04 5.42870000e+04 1.84540000e+04 8.43730000e+03 2.74930000e+03 1.22790000e+03 9.65590000e+02 5.40590000e+03 3.82670000e+03 2.37330000e+03 1.08680000e+03 5.86490000e+02 1.88320000e+02 8.39650000e+01 2.74200000e+01 1.27800000e+01 7.26110000e+00 4.67270000e+00 2.43340000e+00 1.52240000e+00 7.01970000e-01] JM2 = 1.04205707746 JM3 = 1.13012280944 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.46180000e+03 3.17290000e+03 1.98370000e+03 9.15330000e+02 4.96030000e+02 1.60020000e+02 7.14800000e+01 2.33810000e+01 1.09080000e+01 6.20220000e+00 3.99420000e+00 2.08260000e+00 1.30430000e+00 6.02350000e-01] JM1 = 1.02641670217 M = [ 1.12200000e+06 1.21610000e+06 1.65100000e+06 1.16300000e+06 1.35620000e+06 1.15380000e+06 1.21660000e+06 1.05140000e+06 9.78020000e+05 1.01220000e+06 5.74110000e+05 2.14930000e+05 1.04170000e+05 5.87270000e+04 3.65350000e+04 3.36050000e+04 3.29090000e+04 2.71190000e+04 2.65550000e+04 2.35770000e+04 2.30850000e+04 1.71010000e+04 9.41960000e+03 3.13990000e+03 1.42440000e+03 4.61020000e+02 2.05320000e+02 1.61360000e+02 1.57760000e+02 1.09160000e+02 6.49840000e+01 2.85600000e+01 1.50620000e+01 4.70990000e+00 2.07740000e+00 6.72010000e-01 3.11490000e-01 1.76120000e-01 1.12790000e-01 5.82770000e-02 3.62240000e-02 1.65260000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.38860000e+04 6.15830000e+04 9.44250000e+04 8.45940000e+04 1.00110000e+05 7.59390000e+04 4.25910000e+04 1.45330000e+04 6.65230000e+03 2.16920000e+03 9.68860000e+02 7.61900000e+02 7.44940000e+02 5.15900000e+02 3.07400000e+02 1.35250000e+02 7.13600000e+01 2.23200000e+01 9.84400000e+00 3.18380000e+00 1.47580000e+00 8.34600000e-01 5.34850000e-01 2.76520000e-01 1.72000000e-01 7.85610000e-02] JM4 = 1.25580978553 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.41620000e+04 3.09860000e+04 3.02890000e+04 2.28000000e+04 1.24450000e+04 3.94600000e+03 1.68960000e+03 4.90470000e+02 1.99160000e+02 1.52040000e+02 1.48240000e+02 9.79850000e+01 5.46010000e+01 2.15770000e+01 1.04830000e+01 2.84500000e+00 1.14590000e+00 3.31570000e-01 1.43610000e-01 7.74160000e-02 4.78240000e-02 2.34510000e-02 1.40570000e-02 6.11340000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.38860000e+04 6.15830000e+04 6.02630000e+04 5.36080000e+04 5.25250000e+04 3.88630000e+04 2.05150000e+04 6.19210000e+03 2.55670000e+03 7.04570000e+02 2.75170000e+02 2.07500000e+02 2.02090000e+02 1.31080000e+02 7.10620000e+01 2.68220000e+01 1.25530000e+01 3.17410000e+00 1.21660000e+00 3.30940000e-01 1.38770000e-01 7.36090000e-02 4.51620000e-02 2.21300000e-02 1.33450000e-02 5.85820000e-03] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.72920000e+04 1.42760000e+04 9.63190000e+03 4.39510000e+03 2.40600000e+03 9.74120000e+02 4.94530000e+02 4.02360000e+02 3.94610000e+02 2.86840000e+02 1.81740000e+02 8.68460000e+01 4.83250000e+01 1.63010000e+01 7.48160000e+00 2.52130000e+00 1.19340000e+00 6.83580000e-01 4.41860000e-01 2.30940000e-01 1.44590000e-01 6.65890000e-02] all other = [ 4.63100000e+05 4.57810000e+05 4.51150000e+05 2.86390000e+05 2.81880000e+05 2.44280000e+05 2.40350000e+05 2.09500000e+05 1.95520000e+05 1.92290000e+05 1.13330000e+05 4.51590000e+04 2.28040000e+04 1.32320000e+04 8.40940000e+03 7.76290000e+03 7.60880000e+03 6.31910000e+03 6.19280000e+03 5.52360000e+03 5.41280000e+03 4.05380000e+03 2.27620000e+03 7.81280000e+02 3.60630000e+02 1.19150000e+02 5.36840000e+01 4.23200000e+01 4.13870000e+01 2.87620000e+01 1.72170000e+01 7.62470000e+00 4.04130000e+00 1.27230000e+00 5.63400000e-01 1.83000000e-01 8.50010000e-02 4.81200000e-02 3.08510000e-02 1.59550000e-02 9.92220000e-03 4.53050000e-03] [Nd.binding] K = 43.603 L1 = 7.0943 M5 = 0.9842 M4 = 1.0073 M1 = 1.5523 L3 = 6.2005 M3 = 1.2871 M2 = 1.3931 L2 = 6.7277 [Ne] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] L = [ 1.60510000e+04 5.31370000e+03 2.39000000e+03 7.57250000e+02 3.29390000e+02 1.71030000e+02 9.94010000e+01 4.17350000e+01 2.10890000e+01 5.98980000e+00 2.42030000e+00 6.63440000e-01 2.62170000e-01 1.27010000e-01 7.00950000e-02 2.73750000e-02 1.31990000e-02 3.53120000e-03 1.40500000e-03 3.99330000e-04 1.71600000e-04 9.26900000e-05 5.77820000e-05 2.91890000e-05 1.81460000e-05 8.54810000e-06] L2 = [ 1.82140000e+03 4.58560000e+02 1.66790000e+02 3.84850000e+01 1.31550000e+01 5.63700000e+00 2.78330000e+00 9.00800000e-01 3.72310000e-01 7.34190000e-02 2.30090000e-02 4.44070000e-03 1.37850000e-03 5.57430000e-04 2.66960000e-04 8.43290000e-05 3.49140000e-05 7.30020000e-06 2.50430000e-06 5.97660000e-07 2.31330000e-07 1.15680000e-07 6.78240000e-08 3.09730000e-08 1.77780000e-08 7.26510000e-09] L3 = [ 3.59510000e+03 9.03480000e+02 3.28170000e+02 7.55540000e+01 2.57670000e+01 1.10200000e+01 5.43240000e+00 1.75340000e+00 7.20000000e-01 1.40940000e-01 4.38680000e-02 8.36540000e-03 2.56820000e-03 1.02850000e-03 4.87860000e-04 1.51660000e-04 6.18990000e-05 1.26190000e-05 4.26060000e-06 1.01070000e-06 3.96330000e-07 2.03650000e-07 1.23230000e-07 6.03860000e-08 3.70080000e-08 1.71680000e-08] L1 = [ 1.06340000e+04 3.95170000e+03 1.89510000e+03 6.43210000e+02 2.90470000e+02 1.54380000e+02 9.11850000e+01 3.90800000e+01 1.99970000e+01 5.77550000e+00 2.35350000e+00 6.50630000e-01 2.58220000e-01 1.25420000e-01 6.93400000e-02 2.71390000e-02 1.31030000e-02 3.51130000e-03 1.39820000e-03 3.97720000e-04 1.70980000e-04 9.23710000e-05 5.75910000e-05 2.90980000e-05 1.80910000e-05 8.52360000e-06] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 2.48200000e+05 8.92780000e+04 4.15840000e+04 1.35260000e+04 5.93950000e+03 3.09540000e+03 1.80310000e+03 7.58610000e+02 3.83690000e+02 1.09000000e+02 4.40060000e+01 1.20440000e+01 4.75360000e+00 2.30100000e+00 1.26910000e+00 4.95210000e-01 2.38630000e-01 6.37750000e-02 2.53570000e-02 7.20050000e-03 3.09850000e-03 1.67360000e-03 1.04340000e-03 5.27090000e-04 3.27670000e-04 1.54230000e-04] K = [ 2.32150000e+05 8.39640000e+04 3.91940000e+04 1.27690000e+04 5.61010000e+03 2.92440000e+03 1.70370000e+03 7.16870000e+02 3.62600000e+02 1.03010000e+02 4.15860000e+01 1.13800000e+01 4.49150000e+00 2.17390000e+00 1.19900000e+00 4.67840000e-01 2.25430000e-01 6.02440000e-02 2.39520000e-02 6.80120000e-03 2.92690000e-03 1.58090000e-03 9.85620000e-04 4.97910000e-04 3.09530000e-04 1.45680000e-04] [Ne.binding] K = 0.8582 L2 = 0.0201 L3 = 0.02 L1 = 0.0432 [Np] JL1 = 1.13288135593 JL3 = 2.32935703209 JL2 = 1.39294055436 energy = [ 1.00000000e+00 1.06970000e+00 1.07830000e+00 1.31890000e+00 1.32950000e+00 1.48010000e+00 1.49200000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.66370000e+00 3.69310000e+00 3.85500000e+00 3.88580000e+00 4.00000000e+00 4.41680000e+00 4.45220000e+00 5.00000000e+00 5.36160000e+00 5.40460000e+00 5.71520000e+00 5.76100000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.76070000e+01 1.77480000e+01 2.00000000e+01 2.16830000e+01 2.18570000e+01 2.24510000e+01 2.26310000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.19280000e+02 1.20230000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.11207519884 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.70670000e+05 2.41970000e+05 2.37030000e+05 2.20960000e+05 1.71400000e+05 1.67690000e+05 1.20340000e+05 9.80140000e+04 9.54780000e+04 8.16610000e+04 7.98170000e+04 7.08410000e+04 2.95710000e+04 1.45990000e+04 3.81090000e+03 2.19710000e+03 2.13710000e+03 1.40700000e+03 1.05740000e+03 1.02780000e+03 9.34070000e+02 9.07870000e+02 3.27580000e+02 1.12850000e+02 4.86730000e+01 2.43110000e+01 8.06260000e+00 3.42190000e+00 1.74130000e+00 1.68900000e+00 7.28180000e-01 2.49530000e-01 5.86290000e-02 2.23530000e-02 1.10720000e-02 6.48850000e-03 2.94450000e-03 1.66640000e-03 6.89330000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.71510000e+05 1.60180000e+05 1.25530000e+05 1.23040000e+05 8.99800000e+04 7.37480000e+04 7.20750000e+04 6.12000000e+04 5.98880000e+04 5.35440000e+04 2.29220000e+04 1.15200000e+04 3.11360000e+03 1.82150000e+03 1.77320000e+03 1.18090000e+03 8.94760000e+02 8.70460000e+02 7.93220000e+02 7.71580000e+02 2.86730000e+02 1.02020000e+02 4.51840000e+01 2.30820000e+01 7.93940000e+00 3.46640000e+00 1.80290000e+00 1.75050000e+00 7.74380000e-01 2.73010000e-01 6.57220000e-02 2.50960000e-02 1.23180000e-02 7.14830000e-03 3.15060000e-03 1.75860000e-03 6.86940000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.16200000e+04 1.09940000e+04 7.31680000e+03 5.22720000e+03 2.62440000e+03 1.96130000e+03 1.93240000e+03 1.54610000e+03 1.32440000e+03 1.30420000e+03 1.23820000e+03 1.21930000e+03 6.97310000e+02 3.84090000e+02 2.37900000e+02 1.59230000e+02 8.30430000e+01 4.94650000e+01 3.26260000e+01 3.20130000e+01 1.88580000e+01 9.41740000e+00 3.55100000e+00 1.80500000e+00 1.08430000e+00 7.23760000e-01 3.92070000e-01 2.49020000e-01 1.14500000e-01] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.91220000e+04 5.73860000e+04 5.13300000e+04 5.06170000e+04 4.56430000e+04 4.49500000e+04 4.15350000e+04 2.36720000e+04 1.48290000e+04 5.88790000e+03 3.99110000e+03 3.91370000e+03 2.90430000e+03 2.36610000e+03 2.31830000e+03 2.16390000e+03 2.11980000e+03 1.00760000e+03 4.56530000e+02 2.42100000e+02 1.42540000e+02 6.06970000e+01 3.09410000e+01 1.80840000e+01 1.76480000e+01 8.96830000e+00 3.72890000e+00 1.10920000e+00 4.85320000e-01 2.62710000e-01 1.62690000e-01 7.95810000e-02 4.74730000e-02 2.01840000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.84660000e+04 1.74040000e+04 1.72530000e+04 1.66260000e+04 1.11670000e+04 7.78370000e+03 3.63450000e+03 2.60630000e+03 2.56280000e+03 1.98020000e+03 1.65690000e+03 1.62780000e+03 1.53300000e+03 1.50570000e+03 7.82940000e+02 3.88050000e+02 2.20520000e+02 1.37350000e+02 6.39640000e+01 3.49620000e+01 2.15940000e+01 2.11260000e+01 1.15030000e+01 5.22180000e+00 1.74490000e+00 8.21790000e-01 4.68040000e-01 3.00800000e-01 1.55000000e-01 9.58140000e-02 4.33790000e-02] total = [ 2.73070000e+06 2.42350000e+06 2.54110000e+06 1.74230000e+06 1.73890000e+06 1.40560000e+06 1.41000000e+06 1.39430000e+06 7.67220000e+05 3.14040000e+05 1.98750000e+05 4.65780000e+05 4.18590000e+05 5.81910000e+05 5.43190000e+05 4.25380000e+05 4.85910000e+05 3.63450000e+05 3.04120000e+05 3.16130000e+05 2.75410000e+05 2.81710000e+05 2.55350000e+05 1.25250000e+05 7.15390000e+04 2.53830000e+04 1.67660000e+04 3.90540000e+04 2.81870000e+04 2.26930000e+04 3.16100000e+04 2.95000000e+04 3.34200000e+04 1.63150000e+04 7.71100000e+03 4.28070000e+03 2.63510000e+03 1.21840000e+03 6.67700000e+02 4.14900000e+02 1.70610000e+03 9.73240000e+02 4.66980000e+02 1.67060000e+02 8.26140000e+01 4.88870000e+01 3.23620000e+01 1.73970000e+01 1.10230000e+01 5.07430000e+00] JM2 = 1.0394909904 JM3 = 1.14229629978 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1300.1 749.53 363.34 131.17 65.222 38.753 25.735 13.898 8.8316 4.0789] JM1 = 1.02287498638 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.70670000e+05 2.41970000e+05 4.08540000e+05 3.81140000e+05 2.96940000e+05 3.59850000e+05 2.67710000e+05 2.23090000e+05 2.36640000e+05 2.05910000e+05 2.13530000e+05 1.93540000e+05 9.46490000e+04 5.39590000e+04 1.90710000e+04 1.25770000e+04 1.23190000e+04 9.01850000e+03 7.29960000e+03 7.14860000e+03 6.66240000e+03 6.52430000e+03 3.10220000e+03 1.44350000e+03 7.94380000e+02 4.86510000e+02 2.23710000e+02 1.22260000e+02 7.58470000e+01 7.42280000e+01 4.08320000e+01 1.88910000e+01 6.52940000e+00 3.15950000e+00 1.83840000e+00 1.20090000e+00 6.32750000e-01 3.95730000e-01 1.79440000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.26310000e+04 1.61510000e+04 1.29450000e+04 2.20630000e+04 2.06010000e+04 2.47040000e+04 1.21620000e+04 5.77450000e+03 3.21360000e+03 1.98090000e+03 9.17080000e+02 5.02890000e+02 3.12580000e+02 3.05920000e+02 1.68570000e+02 7.81150000e+01 2.70550000e+01 1.31160000e+01 7.64450000e+00 5.00100000e+00 2.64160000e+00 1.65510000e+00 7.52320000e-01] JM4 = 1.39016698918 JM5 = 2.34354716981 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.39360000e+03 8.81810000e+03 8.69160000e+03 4.28720000e+03 2.00750000e+03 1.09730000e+03 6.63600000e+02 2.96600000e+02 1.57670000e+02 9.55180000e+01 9.33760000e+01 4.97760000e+01 2.20870000e+01 7.20390000e+00 3.35150000e+00 1.89520000e+00 1.21280000e+00 6.21890000e-01 3.83480000e-01 1.73010000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.26310000e+04 1.61510000e+04 1.29450000e+04 1.26700000e+04 1.17830000e+04 1.15300000e+04 5.13160000e+03 2.19660000e+03 1.11850000e+03 6.39040000e+02 2.61130000e+02 1.29550000e+02 7.43110000e+01 7.24650000e+01 3.60860000e+01 1.46860000e+01 4.27300000e+00 1.84970000e+00 9.95340000e-01 6.14340000e-01 2.99420000e-01 1.78300000e-01 7.59890000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.48260000e+03 2.74290000e+03 1.57030000e+03 9.97760000e+02 6.78230000e+02 3.59350000e+02 2.15670000e+02 1.42750000e+02 1.40080000e+02 8.27090000e+01 4.13420000e+01 1.55780000e+01 7.91450000e+00 4.75390000e+00 3.17380000e+00 1.72030000e+00 1.09330000e+00 5.03320000e-01] all other = [ 2.73070000e+06 2.42350000e+06 2.54110000e+06 1.74230000e+06 1.73890000e+06 1.40560000e+06 1.41000000e+06 1.39430000e+06 7.67220000e+05 3.14040000e+05 1.98750000e+05 1.95110000e+05 1.76620000e+05 1.73370000e+05 1.62060000e+05 1.28440000e+05 1.26050000e+05 9.57460000e+04 8.10270000e+04 7.94920000e+04 6.95010000e+04 6.81790000e+04 6.18100000e+04 3.06020000e+04 1.75800000e+04 6.31130000e+03 4.18850000e+03 4.10360000e+03 3.01710000e+03 2.44830000e+03 2.39830000e+03 2.23720000e+03 2.19140000e+03 1.05120000e+03 4.92990000e+02 2.72740000e+02 1.67710000e+02 7.75630000e+01 4.25560000e+01 2.64780000e+01 2.59160000e+01 1.43070000e+01 6.64260000e+00 2.30490000e+00 1.11740000e+00 6.51060000e-01 4.25600000e-01 2.24430000e-01 1.40400000e-01 6.36770000e-02] [Np.binding] K = 119.3952 L1 = 22.4738 M5 = 3.6674 M4 = 3.8588 M1 = 5.7209 L3 = 17.6247 M3 = 4.4212 M2 = 5.367 L2 = 21.7049 [Fr] JL1 = 1.13325807665 JL3 = 2.39093175444 JL2 = 1.37792100365 energy = [ 1.00000000e+00 1.13060000e+00 1.13970000e+00 1.50000000e+00 2.00000000e+00 2.99570000e+00 3.00000000e+00 3.01960000e+00 3.13560000e+00 3.16070000e+00 3.64060000e+00 3.66980000e+00 4.00000000e+00 4.30910000e+00 4.34360000e+00 4.61900000e+00 4.65600000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.50180000e+01 1.51390000e+01 1.79540000e+01 1.80980000e+01 1.86280000e+01 1.87780000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.01520000e+02 1.02330000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.39390083556 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.53380000e+05 3.21990000e+05 3.15430000e+05 2.19830000e+05 2.15030000e+05 1.68520000e+05 1.36010000e+05 1.32900000e+05 1.11870000e+05 1.09420000e+05 8.91240000e+04 5.17460000e+04 2.11730000e+04 1.02820000e+04 2.60960000e+03 2.59850000e+03 2.52740000e+03 1.38880000e+03 1.35000000e+03 1.21830000e+03 1.18420000e+03 9.45320000e+02 2.14490000e+02 7.26180000e+01 3.09130000e+01 1.52820000e+01 4.99380000e+00 2.09470000e+00 1.97560000e+00 1.91530000e+00 4.38830000e-01 1.48510000e-01 3.45090000e-02 1.30940000e-02 6.51530000e-03 3.79250000e-03 1.72300000e-03 9.84660000e-04 4.00910000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.85490000e+05 1.59380000e+05 1.56100000e+05 1.23570000e+05 1.00270000e+05 9.80310000e+04 8.22390000e+04 8.04800000e+04 6.62140000e+04 3.88740000e+04 1.62660000e+04 8.03100000e+03 2.10470000e+03 2.09600000e+03 2.04010000e+03 1.13740000e+03 1.10640000e+03 1.00100000e+03 9.73600000e+02 7.81440000e+02 1.84290000e+02 6.42970000e+01 2.80570000e+01 1.41650000e+01 4.79000000e+00 2.06360000e+00 1.94970000e+00 1.89200000e+00 4.52400000e-01 1.57150000e-01 3.72500000e-02 1.40930000e-02 6.93770000e-03 3.97070000e-03 1.73830000e-03 9.73970000e-04 3.76980000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.53070000e+04 1.38270000e+04 1.08540000e+04 7.02270000e+03 4.85090000e+03 2.34690000e+03 2.34150000e+03 2.30700000e+03 1.66910000e+03 1.64350000e+03 1.55420000e+03 1.53030000e+03 1.35360000e+03 5.95340000e+02 3.22820000e+02 1.97620000e+02 1.31020000e+02 6.73440000e+01 3.96620000e+01 3.82560000e+01 3.75310000e+01 1.48130000e+01 7.28960000e+00 2.69300000e+00 1.35030000e+00 8.03450000e-01 5.32760000e-01 2.86350000e-01 1.81260000e-01 8.32550000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.33400000e+04 7.37250000e+04 6.59020000e+04 6.50250000e+04 5.82390000e+04 5.73780000e+04 5.01140000e+04 3.57540000e+04 1.99060000e+04 1.22190000e+04 4.70110000e+03 4.68690000e+03 4.59610000e+03 2.99880000e+03 2.93870000e+03 2.73010000e+03 2.67480000e+03 2.27290000e+03 7.67300000e+02 3.41380000e+02 1.78610000e+02 1.04030000e+02 4.35890000e+01 2.19580000e+01 2.09590000e+01 2.04490000e+01 6.24250000e+00 2.56410000e+00 7.52620000e-01 3.27210000e-01 1.76820000e-01 1.09290000e-01 5.35140000e-02 3.19570000e-02 1.36930000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.46700000e+04 2.29980000e+04 2.28240000e+04 2.12370000e+04 1.62630000e+04 1.02780000e+04 6.83760000e+03 2.98270000e+03 2.97470000e+03 2.92360000e+03 2.00190000e+03 1.96610000e+03 1.84100000e+03 1.80770000e+03 1.56280000e+03 5.88370000e+02 2.82550000e+02 1.56890000e+02 9.59870000e+01 4.35120000e+01 2.33200000e+01 2.23530000e+01 2.18580000e+01 7.42590000e+00 3.30140000e+00 1.07540000e+00 4.98880000e-01 2.81560000e-01 1.79540000e-01 9.16660000e-02 5.64020000e-02 2.53310000e-02] total = [ 2.24810000e+06 1.79190000e+06 1.80240000e+06 1.04940000e+06 5.73970000e+05 2.34390000e+05 2.33620000e+05 6.83560000e+05 5.33210000e+05 8.08330000e+05 5.28890000e+05 6.01390000e+05 4.85940000e+05 4.02970000e+05 4.19530000e+05 3.60820000e+05 3.69280000e+05 3.11240000e+05 1.99010000e+05 9.70760000e+04 5.50550000e+04 1.93160000e+04 1.92540000e+04 4.60350000e+04 2.90140000e+04 3.99790000e+04 3.72060000e+04 4.21640000e+04 3.58340000e+04 1.25720000e+04 5.87230000e+03 3.23040000e+03 1.97480000e+03 9.03550000e+02 4.91360000e+02 4.71540000e+02 2.07190000e+03 7.72760000e+02 3.64610000e+02 1.28070000e+02 6.25470000e+01 3.66950000e+01 2.41400000e+01 1.28840000e+01 8.13980000e+00 3.74440000e+00] JM2 = 1.04109487059 JM3 = 1.13707954395 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1610.5 610.33 290.08 102.6 50.312 29.606 19.525 10.46 6.624 3.0565] JM1 = 1.02344659387 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.53380000e+05 3.21990000e+05 6.00930000e+05 3.79220000e+05 4.54470000e+05 3.65820000e+05 3.02180000e+05 3.20630000e+05 2.75350000e+05 2.85410000e+05 2.40520000e+05 1.53490000e+05 7.46450000e+04 4.22210000e+04 1.47450000e+04 1.46980000e+04 1.43940000e+04 9.19590000e+03 9.00470000e+03 8.34450000e+03 8.17060000e+03 6.91600000e+03 2.34980000e+03 1.08370000e+03 5.92090000e+02 3.60490000e+02 1.64230000e+02 8.90990000e+01 8.54930000e+01 8.36440000e+01 2.93730000e+01 1.34610000e+01 4.59280000e+00 2.20360000e+00 1.27530000e+00 8.29350000e-01 4.35000000e-01 2.71580000e-01 1.23060000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.71780000e+04 1.69450000e+04 2.81600000e+04 2.62500000e+04 3.14350000e+04 2.67470000e+04 9.47340000e+03 4.44030000e+03 2.44680000e+03 1.49720000e+03 6.85620000e+02 3.72990000e+02 3.57950000e+02 3.50240000e+02 1.23340000e+02 5.66000000e+01 1.93450000e+01 9.29530000e+00 5.38690000e+00 3.50780000e+00 1.84380000e+00 1.15310000e+00 5.23560000e-01] JM4 = 1.5159693179 JM5 = 0.996714876915 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.15710000e+04 1.08940000e+04 1.06940000e+04 8.98040000e+03 3.15090000e+03 1.43850000e+03 7.70060000e+02 4.58350000e+02 2.00030000e+02 1.04500000e+02 1.00010000e+02 9.77170000e+01 3.20540000e+01 1.39610000e+01 4.45050000e+00 2.04220000e+00 1.14550000e+00 7.27550000e-01 3.69840000e-01 2.27090000e-01 1.01610000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.71780000e+04 1.69450000e+04 1.65890000e+04 1.53560000e+04 1.50300000e+04 1.26480000e+04 3.88560000e+03 1.63470000e+03 8.23720000e+02 4.66790000e+02 1.88370000e+02 9.25710000e+01 8.82270000e+01 8.60100000e+01 2.53900000e+01 1.02300000e+01 2.94390000e+00 1.26780000e+00 6.81590000e-01 4.19970000e-01 2.04950000e-01 1.22460000e-01 5.24450000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.71060000e+03 5.11780000e+03 2.43680000e+03 1.36710000e+03 8.53060000e+02 5.72020000e+02 2.97210000e+02 1.75920000e+02 1.69710000e+02 1.66510000e+02 6.58920000e+01 3.24090000e+01 1.19510000e+01 5.98540000e+00 3.55980000e+00 2.36020000e+00 1.26900000e+00 8.03540000e-01 3.69510000e-01] all other = [ 2.24810000e+06 1.79190000e+06 1.80240000e+06 1.04940000e+06 5.73970000e+05 2.34390000e+05 2.33620000e+05 2.30180000e+05 2.11220000e+05 2.07400000e+05 1.49670000e+05 1.46920000e+05 1.20110000e+05 1.00790000e+05 9.89030000e+04 8.54780000e+04 8.38690000e+04 7.07250000e+04 4.55220000e+04 2.24300000e+04 1.28340000e+04 4.57060000e+03 4.55620000e+03 4.46370000e+03 2.87360000e+03 2.81480000e+03 2.61160000e+03 2.55810000e+03 2.17110000e+03 7.48690000e+02 3.48330000e+02 1.91500000e+02 1.17140000e+02 5.37070000e+01 2.92730000e+01 2.80960000e+01 2.74930000e+01 9.71660000e+00 4.46990000e+00 1.53150000e+00 7.36450000e-01 4.26700000e-01 2.77710000e-01 1.45780000e-01 9.10720000e-02 4.12630000e-02] [Fr.binding] K = 101.6196 L1 = 18.647 M5 = 2.9986 M4 = 3.1387 M1 = 4.6236 L3 = 15.0335 M3 = 3.6443 M2 = 4.3134 L2 = 17.9724 [Fe] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 7.07630000e+00 7.13300000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 2.04740000e+04 7.58690000e+03 3.56040000e+03 1.14650000e+03 4.89930000e+02 2.46950000e+02 1.38920000e+02 8.16220000e+01 7.95310000e+01 5.46160000e+01 2.59600000e+01 6.45690000e+00 2.33780000e+00 5.40710000e-01 1.88470000e-01 8.26540000e-02 4.20610000e-02 1.44960000e-02 6.37540000e-03 1.46700000e-03 5.32990000e-04 1.36210000e-04 5.48470000e-05 2.81620000e-05 1.68170000e-05 7.88310000e-06 4.60340000e-06 1.92180000e-06] M = [ 9.14000000e+04 3.44730000e+04 1.67960000e+04 5.90370000e+03 2.75360000e+03 1.50730000e+03 9.15250000e+02 5.80130000e+02 5.67430000e+02 4.12280000e+02 2.20390000e+02 6.94630000e+01 3.02080000e+01 9.16840000e+00 3.88450000e+00 1.97980000e+00 1.13760000e+00 4.71580000e-01 2.37330000e-01 6.80810000e-02 2.82780000e-02 8.45540000e-03 3.73670000e-03 2.05140000e-03 1.29100000e-03 6.56930000e-04 4.08210000e-04 1.90080000e-04] L = [ 7.49230000e+05 2.79710000e+05 1.33290000e+05 4.53350000e+04 2.07020000e+04 1.11770000e+04 6.72250000e+03 4.22940000e+03 4.13550000e+03 2.99090000e+03 1.58590000e+03 4.93530000e+02 2.13060000e+02 6.41530000e+01 2.70590000e+01 1.37640000e+01 7.89250000e+00 3.26320000e+00 1.63950000e+00 4.69140000e-01 1.94600000e-01 5.81090000e-02 2.56730000e-02 1.40910000e-02 8.86610000e-03 4.51090000e-03 2.80300000e-03 1.30490000e-03] M5 = [ 5.70770000e+03 1.34300000e+03 4.59810000e+02 9.50610000e+01 2.95850000e+01 1.16550000e+01 5.33540000e+00 2.62550000e+00 2.53660000e+00 1.54350000e+00 5.82560000e-01 9.56750000e-02 2.57900000e-02 3.98430000e-03 1.05250000e-03 3.74400000e-04 1.61330000e-04 4.30380000e-05 1.56580000e-05 2.61360000e-06 7.77790000e-07 1.57290000e-07 5.61870000e-08 2.70100000e-08 1.56370000e-08 7.14740000e-09 4.17680000e-09 1.82470000e-09] M4 = [ 3.88580000e+03 9.16990000e+02 3.14650000e+02 6.52870000e+01 2.03810000e+01 8.05140000e+00 3.71470000e+00 1.83280000e+00 1.77100000e+00 1.07990000e+00 4.09280000e-01 6.78390000e-02 1.84390000e-02 2.88800000e-03 7.71940000e-04 2.77500000e-04 1.20550000e-04 3.26650000e-05 1.20110000e-05 2.04130000e-06 6.08480000e-07 1.20900000e-07 4.13550000e-08 1.89690000e-08 1.03300000e-08 4.24670000e-09 2.27710000e-09 8.53770000e-10] L2 = [ 2.14220000e+05 7.44960000e+04 3.31710000e+04 9.98960000e+03 4.10180000e+03 2.01490000e+03 1.11340000e+03 6.45060000e+02 6.28130000e+02 4.27600000e+02 2.00130000e+02 4.86100000e+01 1.73770000e+01 3.96730000e+00 1.37130000e+00 5.98490000e-01 3.03550000e-01 1.04170000e-01 4.56790000e-02 1.04690000e-02 3.79400000e-03 9.70330000e-04 3.90210000e-04 2.00350000e-04 1.19750000e-04 5.61920000e-05 3.27260000e-05 1.37320000e-05] L3 = [ 4.18030000e+05 1.43910000e+05 6.36490000e+04 1.89980000e+04 7.74890000e+03 3.78580000e+03 2.08210000e+03 1.20080000e+03 1.16910000e+03 7.93210000e+02 3.68710000e+02 8.82800000e+01 3.11810000e+01 6.97650000e+00 2.37040000e+00 1.01900000e+00 5.09850000e-01 1.70840000e-01 7.34230000e-02 1.61950000e-02 5.72440000e-03 1.42210000e-03 5.71220000e-04 2.96730000e-04 1.80240000e-04 8.80010000e-05 5.37250000e-05 2.42260000e-05] M3 = [ 3.98570000e+04 1.46430000e+04 6.83000000e+03 2.17990000e+03 9.25380000e+02 4.63890000e+02 2.59700000e+02 1.51880000e+02 1.47960000e+02 1.01260000e+02 4.77940000e+01 1.17150000e+01 4.19130000e+00 9.50490000e-01 3.24810000e-01 1.40270000e-01 7.04190000e-02 2.36950000e-02 1.02100000e-02 2.26060000e-03 8.00450000e-04 1.99550000e-04 8.01450000e-05 4.16420000e-05 2.53350000e-05 1.23940000e-05 7.53570000e-06 3.42060000e-06] L1 = [ 1.16980000e+05 6.13020000e+04 3.64650000e+04 1.63480000e+04 8.85170000e+03 5.37610000e+03 3.52700000e+03 2.38350000e+03 2.33830000e+03 1.77010000e+03 1.01710000e+03 3.56640000e+02 1.64510000e+02 5.32090000e+01 2.33170000e+01 1.21460000e+01 7.07910000e+00 2.98820000e+00 1.52040000e+00 4.42480000e-01 1.85080000e-01 5.57160000e-02 2.47120000e-02 1.35930000e-02 8.56610000e-03 4.36670000e-03 2.71650000e-03 1.26700000e-03] JK = 7.73353751914 M1 = [ 2.14750000e+04 9.98290000e+03 5.63100000e+03 2.41690000e+03 1.28840000e+03 7.76770000e+02 5.07580000e+02 3.42160000e+02 3.35630000e+02 2.53780000e+02 1.45640000e+02 5.11270000e+01 2.36340000e+01 7.67040000e+00 3.36940000e+00 1.75630000e+00 1.02480000e+00 4.33310000e-01 2.20720000e-01 6.43490000e-02 2.69430000e-02 8.11940000e-03 3.60160000e-03 1.98160000e-03 1.24880000e-03 6.36640000e-04 3.96070000e-04 1.84740000e-04] all other = [ 1.44940000e+03 6.64980000e+02 3.73000000e+02 1.59240000e+02 8.51800000e+01 5.13060000e+01 3.35080000e+01 2.25810000e+01 2.21490000e+01 1.67450000e+01 9.60780000e+00 3.37250000e+00 1.55910000e+00 5.06030000e-01 2.22280000e-01 1.15990000e-01 6.76900000e-02 2.86260000e-02 1.45830000e-02 4.25210000e-03 1.78050000e-03 5.36640000e-04 2.38090000e-04 1.31050000e-04 8.26300000e-05 4.21970000e-05 2.63130000e-05 1.23990000e-05] total = [ 8.42080000e+05 3.14840000e+05 1.50450000e+05 5.13980000e+04 2.35410000e+04 1.27360000e+04 7.67130000e+03 4.83220000e+03 3.73700000e+04 2.81890000e+04 1.57050000e+04 5.21450000e+03 2.32270000e+03 7.19860000e+02 3.07520000e+02 1.57460000e+02 9.06630000e+01 3.76480000e+01 1.89550000e+01 5.43520000e+00 2.25570000e+00 6.73730000e-01 2.97630000e-01 1.63400000e-01 1.02870000e-01 5.23970000e-02 3.25940000e-02 1.52110000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.26450000e+04 2.47690000e+04 1.38890000e+04 4.64810000e+03 2.07780000e+03 6.46030000e+02 2.76350000e+02 1.41600000e+02 8.15650000e+01 3.38850000e+01 1.70640000e+01 4.89370000e+00 2.03110000e+00 6.06630000e-01 2.67980000e-01 1.47130000e-01 9.26270000e-02 4.71870000e-02 2.93560000e-02 1.37040000e-02] [Fe.binding] K = 7.0834 L1 = 0.843 M5 = 0.0127 M4 = 0.0129 M1 = 0.101 L3 = 0.7207 M3 = 0.0664 M2 = 0.0681 L2 = 0.7336 [Fm] JL1 = 1.13124530636 JL3 = 2.26659276708 JL2 = 1.41180255001 energy = [ 1.00000000e+00 1.06070000e+00 1.06920000e+00 1.35810000e+00 1.36900000e+00 1.50000000e+00 1.73860000e+00 1.75250000e+00 1.92970000e+00 1.94520000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 4.48710000e+00 4.52300000e+00 4.75530000e+00 4.79340000e+00 5.00000000e+00 5.38640000e+00 5.42960000e+00 6.00000000e+00 6.78030000e+00 6.83460000e+00 7.19180000e+00 7.24940000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 2.08700000e+01 2.10370000e+01 2.67730000e+01 2.69870000e+01 2.76710000e+01 2.78930000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.42940000e+02 1.44090000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 3.78330422246 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.97250000e+05 1.84570000e+05 1.80730000e+05 1.62590000e+05 1.34020000e+05 1.31130000e+05 9.85700000e+04 6.85450000e+04 6.70220000e+04 5.78080000e+04 5.64450000e+04 4.17730000e+04 2.10430000e+04 5.67150000e+03 2.13840000e+03 1.84630000e+03 1.79600000e+03 7.69690000e+02 7.48130000e+02 6.84310000e+02 6.65110000e+02 5.12410000e+02 1.79920000e+02 7.87110000e+01 3.97580000e+01 1.34110000e+01 5.76210000e+00 1.49780000e+00 1.45380000e+00 1.25070000e+00 4.33600000e-01 1.03150000e-01 3.95420000e-02 1.96290000e-02 1.14310000e-02 5.21690000e-03 2.97680000e-03 1.20250000e-03] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.23570000e+05 1.19690000e+05 9.96860000e+04 9.77370000e+04 7.49950000e+04 5.28140000e+04 5.15980000e+04 4.44890000e+04 4.35220000e+04 3.26850000e+04 1.67960000e+04 4.70130000e+03 1.82610000e+03 1.58330000e+03 1.54150000e+03 6.79010000e+02 6.60620000e+02 6.05990000e+02 5.89500000e+02 4.57950000e+02 1.66550000e+02 7.49880000e+01 3.88090000e+01 1.36140000e+01 6.02890000e+00 1.64180000e+00 1.59500000e+00 1.37900000e+00 4.93250000e-01 1.20870000e-01 4.66550000e-02 2.30750000e-02 1.33230000e-02 5.98250000e-03 3.34580000e-03 1.31570000e-03] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.36960000e+03 7.26240000e+03 5.36360000e+03 2.85750000e+03 1.73370000e+03 1.60490000e+03 1.58170000e+03 1.00760000e+03 9.92280000e+02 9.45560000e+02 9.31110000e+02 8.08640000e+02 4.54550000e+02 2.85680000e+02 1.93380000e+02 1.02600000e+02 6.19250000e+01 2.70720000e+01 2.65710000e+01 2.41830000e+01 1.22880000e+01 4.75000000e+00 2.45620000e+00 1.49350000e+00 1.00560000e+00 5.50450000e-01 3.51320000e-01 1.61860000e-01] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.66780000e+04 4.78090000e+04 3.89740000e+04 3.83840000e+04 3.47290000e+04 3.41810000e+04 2.81370000e+04 1.79970000e+04 7.41630000e+03 3.74120000e+03 3.36980000e+03 3.30440000e+03 1.79910000e+03 1.76250000e+03 1.65210000e+03 1.61830000e+03 1.33780000e+03 6.18590000e+02 3.33040000e+02 1.98390000e+02 8.60090000e+01 4.44220000e+01 1.52140000e+01 1.48530000e+01 1.31590000e+01 5.54490000e+00 1.67410000e+00 7.37610000e-01 4.00480000e-01 2.47930000e-01 1.21270000e-01 7.21490000e-02 3.04940000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.31840000e+04 1.25340000e+04 1.24250000e+04 1.13700000e+04 8.33410000e+03 4.29980000e+03 2.47090000e+03 2.26550000e+03 2.22890000e+03 1.33930000e+03 1.31630000e+03 1.24650000e+03 1.22490000e+03 1.04200000e+03 5.37700000e+02 3.14430000e+02 2.00310000e+02 9.64440000e+01 5.40060000e+01 2.10260000e+01 2.05850000e+01 1.84990000e+01 8.61450000e+00 2.96970000e+00 1.42490000e+00 8.21500000e-01 5.32020000e-01 2.77430000e-01 1.72660000e-01 7.87520000e-02] total = [ 3.16240000e+06 3.06980000e+06 3.11850000e+06 2.09590000e+06 2.19650000e+06 1.83830000e+06 1.36080000e+06 1.35410000e+06 1.10600000e+06 1.10660000e+06 1.04280000e+06 4.27890000e+05 2.20880000e+05 1.68690000e+05 3.62800000e+05 3.31630000e+05 4.48610000e+05 4.12840000e+05 3.43030000e+05 3.92800000e+05 3.05740000e+05 2.23080000e+05 2.31730000e+05 2.03920000e+05 2.08250000e+05 1.63110000e+05 9.36610000e+04 3.36700000e+04 1.61070000e+04 1.44340000e+04 3.27160000e+04 1.70980000e+04 2.41390000e+04 2.26370000e+04 2.56080000e+04 2.12810000e+04 1.02850000e+04 5.77510000e+03 3.58800000e+03 1.68200000e+03 9.31130000e+02 3.60690000e+02 1.36460000e+03 1.23950000e+03 6.04880000e+02 2.21580000e+02 1.11390000e+02 6.66840000e+01 4.45000000e+01 2.41550000e+01 1.53710000e+01 7.08510000e+00] JM2 = 1.03877532724 JM3 = 1.14508935079 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1011.5 922.08 456.01 169.17 85.709 51.602 34.587 18.885 12.059 5.578] JM1 = 1.02123381718 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.97250000e+05 1.84570000e+05 3.04300000e+05 2.82290000e+05 2.33700000e+05 2.85540000e+05 2.21370000e+05 1.60330000e+05 1.70190000e+05 1.49560000e+05 1.54940000e+05 1.21230000e+05 6.95330000e+04 2.49460000e+04 1.19100000e+04 1.06700000e+04 1.04520000e+04 5.59470000e+03 5.47990000e+03 5.13450000e+03 5.02890000e+03 4.15870000e+03 1.95730000e+03 1.08690000e+03 6.70650000e+02 3.12080000e+02 1.72140000e+02 6.64510000e+01 6.50580000e+01 5.84710000e+01 2.73740000e+01 9.61790000e+00 4.70490000e+00 2.75820000e+00 1.81030000e+00 9.60350000e-01 6.02450000e-01 2.73620000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.85760000e+04 9.51880000e+03 1.67150000e+04 1.56800000e+04 1.87940000e+04 1.56430000e+04 7.62770000e+03 4.29790000e+03 2.67570000e+03 1.25700000e+03 6.96450000e+02 2.69980000e+02 2.64340000e+02 2.37640000e+02 1.11460000e+02 3.92570000e+01 1.92460000e+01 1.13060000e+01 7.43430000e+00 3.95520000e+00 2.48640000e+00 1.13240000e+00] JM4 = 1.35274251425 JM5 = 2.15069061592 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.40050000e+03 6.98210000e+03 6.89890000e+03 5.70930000e+03 2.83870000e+03 1.59560000e+03 9.85270000e+02 4.54160000e+02 2.46740000e+02 9.22260000e+01 9.02210000e+01 8.07610000e+01 3.66620000e+01 1.22990000e+01 5.81970000e+00 3.32840000e+00 2.14460000e+00 1.11240000e+00 6.90430000e-01 3.13920000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.85760000e+04 9.51880000e+03 9.31450000e+03 8.69780000e+03 8.50870000e+03 6.93850000e+03 3.00050000e+03 1.54560000e+03 8.91210000e+02 3.69180000e+02 1.85050000e+02 6.09160000e+01 5.94240000e+01 5.24450000e+01 2.15740000e+01 6.35350000e+00 2.76550000e+00 1.49150000e+00 9.19660000e-01 4.48080000e-01 2.66110000e-01 1.12650000e-01] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.38600000e+03 2.99520000e+03 1.78850000e+03 1.15660000e+03 7.99180000e+02 4.33640000e+02 2.64660000e+02 1.16840000e+02 1.14690000e+02 1.04440000e+02 5.32240000e+01 2.06050000e+01 1.06610000e+01 6.48630000e+00 4.37000000e+00 2.39480000e+00 1.52980000e+00 7.05790000e-01] all other = [ 3.16240000e+06 3.06980000e+06 3.11850000e+06 2.09590000e+06 2.19650000e+06 1.83830000e+06 1.36080000e+06 1.35410000e+06 1.10600000e+06 1.10660000e+06 1.04280000e+06 4.27890000e+05 2.20880000e+05 1.68690000e+05 1.65550000e+05 1.47060000e+05 1.44310000e+05 1.30550000e+05 1.09320000e+05 1.07260000e+05 8.43640000e+04 6.27510000e+04 6.15450000e+04 5.43580000e+04 5.33100000e+04 4.18830000e+04 2.41270000e+04 8.72360000e+03 4.19690000e+03 3.76390000e+03 3.68790000e+03 1.98430000e+03 1.94390000e+03 1.82230000e+03 1.78520000e+03 1.47870000e+03 7.00110000e+02 3.90380000e+02 2.41650000e+02 1.12980000e+02 6.25330000e+01 2.42560000e+01 2.37490000e+01 2.13550000e+01 1.00340000e+01 3.53800000e+00 1.73380000e+00 1.01730000e+00 6.68350000e-01 3.54750000e-01 2.22610000e-01 1.01090000e-01] [Fm.binding] K = 143.0865 L1 = 27.6986 M5 = 4.4916 M4 = 4.7601 M1 = 7.199 L3 = 20.8907 M3 = 5.3918 M2 = 6.7871 L2 = 26.7999 [B] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] L = [ 9.42740000e+02 2.95120000e+02 1.25930000e+02 3.70480000e+01 1.52760000e+01 7.60420000e+00 4.27140000e+00 1.70220000e+00 8.27580000e-01 2.20020000e-01 8.51550000e-02 2.21200000e-02 8.45550000e-03 4.00260000e-03 2.17130000e-03 8.27490000e-04 3.92290000e-04 1.02220000e-04 4.00300000e-05 1.11750000e-05 4.75520000e-06 2.55470000e-06 1.58790000e-06 8.00970000e-07 4.98810000e-07 2.37360000e-07] L2 = [ 4.36310000e+00 9.02020000e-01 2.88090000e-01 5.78240000e-02 1.81320000e-02 7.27690000e-03 3.43310000e-03 1.03660000e-03 4.07300000e-04 7.37250000e-05 2.18470000e-05 3.93340000e-06 1.17180000e-06 4.60780000e-07 2.16510000e-07 6.63280000e-08 2.68500000e-08 5.44080000e-09 1.82330000e-09 4.25260000e-10 1.60520000e-10 7.95470000e-11 4.60910000e-11 2.10540000e-11 1.21520000e-11 6.06140000e-12] L3 = [ 8.68430000e+00 1.79490000e+00 5.72720000e-01 1.14510000e-01 3.58440000e-02 1.43740000e-02 6.76620000e-03 2.03900000e-03 7.98840000e-04 1.43810000e-04 4.23510000e-05 7.57190000e-06 2.23570000e-06 8.72230000e-07 4.05080000e-07 1.22650000e-07 4.92880000e-08 9.74900000e-09 3.25280000e-09 7.58710000e-10 2.99460000e-10 1.52970000e-10 9.35380000e-11 4.64580000e-11 2.97190000e-11 1.69360000e-11] L1 = [ 9.29690000e+02 2.92430000e+02 1.25070000e+02 3.68750000e+01 1.52220000e+01 7.58260000e+00 4.26120000e+00 1.69910000e+00 8.26380000e-01 2.19810000e-01 8.50910000e-02 2.21080000e-02 8.45210000e-03 4.00120000e-03 2.17070000e-03 8.27300000e-04 3.92210000e-04 1.02200000e-04 4.00250000e-05 1.11740000e-05 4.75470000e-06 2.55450000e-06 1.58780000e-06 8.00900000e-07 4.98770000e-07 2.37340000e-07] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 2.20460000e+04 6.74890000e+03 2.85630000e+03 8.29020000e+02 3.38690000e+02 1.67550000e+02 9.37540000e+01 3.71700000e+01 1.80120000e+01 4.76670000e+00 1.84040000e+00 4.76800000e-01 1.81990000e-01 8.60630000e-02 4.66500000e-02 1.77570000e-02 8.43210000e-03 2.19680000e-03 8.60570000e-04 2.40330000e-04 1.02320000e-04 5.49700000e-05 3.41680000e-05 1.72220000e-05 1.07080000e-05 5.06010000e-06] K = [ 2.11030000e+04 6.45380000e+03 2.73030000e+03 7.91980000e+02 3.23410000e+02 1.59940000e+02 8.94830000e+01 3.54680000e+01 1.71850000e+01 4.54670000e+00 1.75520000e+00 4.54680000e-01 1.73540000e-01 8.20600000e-02 4.44780000e-02 1.69300000e-02 8.03980000e-03 2.09460000e-03 8.20540000e-04 2.29160000e-04 9.75620000e-05 5.24150000e-05 3.25800000e-05 1.64210000e-05 1.02090000e-05 4.82270000e-06] [B.binding] K = 0.1956 L2 = 0.0067 L3 = 0.0067 L1 = 0.0126 [F] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] L = [ 1.03210000e+04 3.43480000e+03 1.54360000e+03 4.88160000e+02 2.11300000e+02 1.09170000e+02 6.31840000e+01 2.63470000e+01 1.32490000e+01 3.73010000e+00 1.49730000e+00 4.06840000e-01 1.59840000e-01 7.71150000e-02 4.24280000e-02 1.64960000e-02 7.92930000e-03 2.11090000e-03 8.37430000e-04 2.37210000e-04 1.01760000e-04 5.48990000e-05 3.42080000e-05 1.72740000e-05 1.07400000e-05 5.06520000e-06] L2 = [ 8.60190000e+02 2.12150000e+02 7.56610000e+01 1.70320000e+01 5.71270000e+00 2.40320000e+00 1.17470000e+00 3.75450000e-01 1.53740000e-01 2.99840000e-02 9.30950000e-03 1.77220000e-03 5.45710000e-04 2.19450000e-04 1.04680000e-04 3.28770000e-05 1.35580000e-05 2.81690000e-06 9.62550000e-07 2.28690000e-07 8.82380000e-08 4.40390000e-08 2.57900000e-08 1.17700000e-08 6.73690000e-09 2.75390000e-09] L3 = [ 1.70090000e+03 4.18900000e+02 1.49220000e+02 3.35200000e+01 1.12200000e+01 4.71270000e+00 2.30100000e+00 7.30640000e-01 2.98280000e-01 5.77570000e-02 1.78180000e-02 3.35240000e-03 1.02140000e-03 4.06990000e-04 1.92300000e-04 5.94730000e-05 2.41830000e-05 4.90460000e-06 1.65090000e-06 3.90550000e-07 1.52910000e-07 7.85800000e-08 4.75130000e-08 2.32780000e-08 1.42940000e-08 6.69190000e-09] L1 = [ 7.75970000e+03 2.80370000e+03 1.31880000e+03 4.37610000e+02 1.94370000e+02 1.02060000e+02 5.97080000e+01 2.52410000e+01 1.27970000e+01 3.64230000e+00 1.47020000e+00 4.01710000e-01 1.58270000e-01 7.64890000e-02 4.21310000e-02 1.64040000e-02 7.89160000e-03 2.10320000e-03 8.34820000e-04 2.36600000e-04 1.01520000e-04 5.47760000e-05 3.41340000e-05 1.72390000e-05 1.07190000e-05 5.05570000e-06] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 1.78170000e+05 6.23750000e+04 2.84960000e+04 9.07290000e+03 3.93130000e+03 2.02960000e+03 1.17380000e+03 4.88830000e+02 2.45480000e+02 6.89040000e+01 2.75960000e+01 7.47610000e+00 2.93230000e+00 1.41310000e+00 7.76870000e-01 3.01720000e-01 1.44920000e-01 3.85350000e-02 1.52740000e-02 4.33040000e-03 1.85750000e-03 1.00220000e-03 6.24460000e-04 3.15340000e-04 1.96010000e-04 9.23380000e-05] K = [ 1.67850000e+05 5.89410000e+04 2.69520000e+04 8.58480000e+03 3.72000000e+03 1.92040000e+03 1.11070000e+03 4.62480000e+02 2.32230000e+02 6.51740000e+01 2.60990000e+01 7.06930000e+00 2.77250000e+00 1.33600000e+00 7.34450000e-01 2.85220000e-01 1.36990000e-01 3.64240000e-02 1.44370000e-02 4.09320000e-03 1.75570000e-03 9.47300000e-04 5.90250000e-04 2.98070000e-04 1.85270000e-04 8.72730000e-05] [F.binding] K = 0.6884 L2 = 0.017 L3 = 0.017 L1 = 0.0359 [Sr] JL1 = 1.1182767624 JL3 = 3.86563431759 JL2 = 1.36800236502 energy = [ 1.00000000e+00 1.50000000e+00 1.94040000e+00 1.95590000e+00 2.00000000e+00 2.01020000e+00 2.02630000e+00 2.19810000e+00 2.21570000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.60510000e+01 1.61800000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 6.48930000e+04 3.01790000e+04 1.74460000e+04 1.71400000e+04 1.63100000e+04 1.61260000e+04 1.58400000e+04 1.31730000e+04 1.29340000e+04 6.27430000e+03 3.01010000e+03 1.65350000e+03 9.95820000e+02 4.34200000e+02 2.22680000e+02 6.29720000e+01 5.06990000e+01 4.94170000e+01 2.48240000e+01 6.42210000e+00 2.40550000e+00 1.11210000e+00 5.89570000e-01 2.15720000e-01 9.89600000e-02 2.44140000e-02 9.24350000e-03 2.47850000e-03 1.02520000e-03 5.36550000e-04 3.24590000e-04 1.54610000e-04 9.12060000e-05 3.86550000e-05] M = [ 4.75460000e+05 1.80470000e+05 9.54340000e+04 9.35460000e+04 8.84590000e+04 8.73360000e+04 8.56040000e+04 6.97170000e+04 6.83230000e+04 3.14130000e+04 1.47790000e+04 8.15500000e+03 4.98930000e+03 2.27720000e+03 1.23040000e+03 3.95990000e+02 3.27070000e+02 3.19780000e+02 1.75200000e+02 5.47220000e+01 2.37320000e+01 1.23440000e+01 7.21160000e+00 3.07120000e+00 1.57850000e+00 4.70010000e-01 1.99970000e-01 6.16810000e-02 2.77580000e-02 1.54070000e-02 9.75880000e-03 4.99230000e-03 3.10130000e-03 1.43260000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.99970000e+05 2.79510000e+05 2.76840000e+05 4.15630000e+05 3.45070000e+05 3.96400000e+05 1.86630000e+05 8.91610000e+04 4.94140000e+04 3.02580000e+04 1.37930000e+04 7.43430000e+03 2.38060000e+03 1.96470000e+03 1.92070000e+03 1.04990000e+03 3.26640000e+02 1.41280000e+02 7.33490000e+01 4.27900000e+01 1.81860000e+01 9.33340000e+00 2.77270000e+00 1.17900000e+00 3.63180000e-01 1.63320000e-01 9.06270000e-02 5.73990000e-02 2.93630000e-02 1.82440000e-02 8.43090000e-03] M5 = [ 1.38430000e+05 3.95790000e+04 1.69880000e+04 1.65390000e+04 1.53430000e+04 1.50820000e+04 1.46810000e+04 1.11300000e+04 1.08300000e+04 3.73700000e+03 1.30280000e+03 5.60020000e+02 2.76470000e+02 8.82340000e+01 3.55380000e+01 6.48640000e+00 4.85640000e+00 4.69330000e+00 1.88250000e+00 3.20360000e-01 8.99600000e-02 3.34270000e-02 1.48810000e-02 4.14930000e-03 1.56370000e-03 2.76070000e-04 8.47270000e-05 1.77240000e-05 6.44790000e-06 3.13160000e-06 1.78170000e-06 8.28560000e-07 4.65630000e-07 1.94730000e-07] M4 = [ 9.48190000e+04 2.72550000e+04 1.17410000e+04 1.14320000e+04 1.06080000e+04 1.04290000e+04 1.01530000e+04 7.70610000e+03 7.49930000e+03 2.60030000e+03 9.11130000e+02 3.93350000e+02 1.94920000e+02 6.26210000e+01 2.53700000e+01 4.69050000e+00 3.52040000e+00 3.40310000e+00 1.37610000e+00 2.38290000e-01 6.78920000e-02 2.55410000e-02 1.14930000e-02 3.28330000e-03 1.25460000e-03 2.27060000e-04 7.03630000e-05 1.45710000e-05 5.08800000e-06 2.36810000e-06 1.32010000e-06 5.47630000e-07 2.99820000e-07 1.11690000e-07] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.43130000e+05 1.18540000e+05 1.16360000e+05 5.23090000e+04 2.36880000e+04 1.24560000e+04 7.25810000e+03 3.02260000e+03 1.50200000e+03 4.05250000e+02 3.24140000e+02 3.15700000e+02 1.55680000e+02 3.91470000e+01 1.44320000e+01 6.60520000e+00 3.47710000e+00 1.26090000e+00 5.75300000e-01 1.40580000e-01 5.29900000e-02 1.41420000e-02 5.83540000e-03 3.04750000e-03 1.84000000e-03 8.79460000e-04 5.18460000e-04 2.19260000e-04] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.99970000e+05 2.79510000e+05 2.76840000e+05 2.72510000e+05 2.26530000e+05 2.21960000e+05 9.80540000e+04 4.36860000e+04 2.27250000e+04 1.31270000e+04 5.38880000e+03 2.64750000e+03 6.98560000e+02 5.56450000e+02 5.41700000e+02 2.63640000e+02 6.44340000e+01 2.32110000e+01 1.04140000e+01 5.38590000e+00 1.89480000e+00 8.42860000e-01 1.96220000e-01 7.15400000e-02 1.84050000e-02 7.50650000e-03 3.93030000e-03 2.39840000e-03 1.17150000e-03 7.09340000e-04 3.19640000e-04] M3 = [ 1.28660000e+05 5.84390000e+04 3.33480000e+04 3.27510000e+04 3.11330000e+04 3.07740000e+04 3.02180000e+04 2.50300000e+04 2.45670000e+04 1.17520000e+04 5.56500000e+03 3.02550000e+03 1.80650000e+03 7.76660000e+02 3.93750000e+02 1.08850000e+02 8.72750000e+01 8.50260000e+01 4.21410000e+01 1.05910000e+01 3.87520000e+00 1.75620000e+00 9.14670000e-01 3.24730000e-01 1.45290000e-01 3.40440000e-02 1.24630000e-02 3.21950000e-03 1.31580000e-03 6.89320000e-04 4.20400000e-04 2.06200000e-04 1.24930000e-04 5.61060000e-05] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.80730000e+04 3.62650000e+04 2.17860000e+04 1.42330000e+04 9.87370000e+03 5.38200000e+03 3.28480000e+03 1.27670000e+03 1.08410000e+03 1.06330000e+03 6.30550000e+02 2.23060000e+02 1.03640000e+02 5.63310000e+01 3.39270000e+01 1.50300000e+01 7.91530000e+00 2.43590000e+00 1.05450000e+00 3.30630000e-01 1.49980000e-01 8.36490000e-02 5.31600000e-02 2.73120000e-02 1.70160000e-02 7.89200000e-03] JK = 6.74554946936 M1 = [ 4.86580000e+04 2.50180000e+04 1.59110000e+04 1.56840000e+04 1.50650000e+04 1.49260000e+04 1.47120000e+04 1.26780000e+04 1.24930000e+04 7.04870000e+03 3.99010000e+03 2.52260000e+03 1.71550000e+03 9.15450000e+02 5.53080000e+02 2.13000000e+02 1.80720000e+02 1.77240000e+02 1.04970000e+02 3.71500000e+01 1.72930000e+01 9.41690000e+00 5.68100000e+00 2.52340000e+00 1.33140000e+00 4.11050000e-01 1.78110000e-01 5.59510000e-02 2.54050000e-02 1.41760000e-02 9.01070000e-03 4.63010000e-03 2.88440000e-03 1.33760000e-03] all other = [ 3.19780000e+04 1.46130000e+04 8.53960000e+03 8.39470000e+03 8.00160000e+03 7.91420000e+03 7.77910000e+03 6.51770000e+03 6.40450000e+03 3.23260000e+03 1.63890000e+03 9.49970000e+02 6.01910000e+02 2.88060000e+02 1.60610000e+02 5.41630000e+01 4.50410000e+01 4.40710000e+01 2.46190000e+01 7.92850000e+00 3.49700000e+00 1.83910000e+00 1.08270000e+00 4.65790000e-01 2.40920000e-01 7.23690000e-02 3.09530000e-02 9.59140000e-03 4.32610000e-03 2.40460000e-03 1.52450000e-03 7.80940000e-04 4.85700000e-04 2.25010000e-04] total = [ 5.07440000e+05 1.95080000e+05 1.03970000e+05 4.01910000e+05 3.75970000e+05 3.72090000e+05 5.09020000e+05 4.21300000e+05 4.71130000e+05 2.21270000e+05 1.05580000e+05 5.85190000e+04 3.58500000e+04 1.63590000e+04 8.82540000e+03 2.83070000e+03 2.33680000e+03 1.57630000e+04 9.15450000e+03 3.05180000e+03 1.36640000e+03 7.23180000e+02 4.27010000e+02 1.83970000e+02 9.51020000e+01 2.84700000e+01 1.21400000e+01 3.74750000e+00 1.68760000e+00 9.37670000e-01 5.94700000e-01 3.05070000e-01 1.90030000e-01 8.82100000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.34780000e+04 7.90480000e+03 2.66250000e+03 1.19790000e+03 6.35640000e+02 3.75920000e+02 1.62240000e+02 8.39490000e+01 2.51550000e+01 1.07300000e+01 3.31300000e+00 1.49220000e+00 8.29230000e-01 5.26010000e-01 2.69940000e-01 1.68200000e-01 7.81210000e-02] [Sr.binding] K = 16.0673 L1 = 2.2003 M5 = 0.143 M4 = 0.1449 M1 = 0.3504 L3 = 1.9423 M3 = 0.2695 M2 = 0.2804 L2 = 2.0122 [N] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] L = [ 3.75080000e+03 1.23820000e+03 5.50930000e+02 1.69680000e+02 7.19670000e+01 3.66150000e+01 2.09400000e+01 8.58080000e+00 4.25740000e+00 1.16940000e+00 4.61670000e-01 1.22830000e-01 4.76360000e-02 2.27750000e-02 1.24460000e-02 4.79270000e-03 2.28850000e-03 6.02970000e-04 2.37720000e-04 6.68640000e-05 2.85740000e-05 1.53830000e-05 9.57210000e-06 4.83060000e-06 3.00460000e-06 1.42110000e-06] L2 = [ 1.23740000e+02 2.84420000e+01 9.73360000e+00 2.02370000e+00 6.46570000e-01 2.65900000e-01 1.28350000e-01 4.02370000e-02 1.62220000e-02 3.05590000e-03 9.26570000e-04 1.71680000e-04 5.20190000e-05 2.06880000e-05 9.78390000e-06 3.03820000e-06 1.24120000e-06 2.54980000e-07 8.63460000e-08 2.03480000e-08 7.77530000e-09 3.87900000e-09 2.25320000e-09 1.02140000e-09 5.84980000e-10 2.43620000e-10] L3 = [ 2.45580000e+02 5.63850000e+01 1.92750000e+01 4.00170000e+00 1.27720000e+00 5.24410000e-01 2.51920000e-01 7.87490000e-02 3.16650000e-02 5.92590000e-03 1.78620000e-03 3.27410000e-04 9.82170000e-05 3.87220000e-05 1.81660000e-05 5.55300000e-06 2.24550000e-06 4.49720000e-07 1.50660000e-07 3.53570000e-08 1.38780000e-08 7.09740000e-09 4.32210000e-09 2.12440000e-09 1.31270000e-09 6.28920000e-10] L1 = [ 3.38150000e+03 1.15340000e+03 5.21920000e+02 1.63660000e+02 7.00430000e+01 3.58250000e+01 2.05600000e+01 8.46190000e+00 4.20950000e+00 1.16040000e+00 4.58960000e-01 1.22330000e-01 4.74860000e-02 2.27160000e-02 1.24180000e-02 4.78410000e-03 2.28500000e-03 6.02270000e-04 2.37480000e-04 6.68080000e-05 2.85520000e-05 1.53720000e-05 9.56550000e-06 4.82740000e-06 3.00270000e-06 1.42020000e-06] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 7.69900000e+04 2.51520000e+04 1.10660000e+04 3.36660000e+03 1.41810000e+03 7.18050000e+02 4.09260000e+02 1.66780000e+02 8.24130000e+01 2.25020000e+01 8.85500000e+00 2.34770000e+00 9.08770000e-01 4.33960000e-01 2.36950000e-01 9.11370000e-02 4.34780000e-02 1.14390000e-02 4.51630000e-03 1.27020000e-03 5.42850000e-04 2.92280000e-04 1.81890000e-04 9.17700000e-05 5.70440000e-05 2.69110000e-05] K = [ 7.32390000e+04 2.39140000e+04 1.05160000e+04 3.19690000e+03 1.34610000e+03 6.81440000e+02 3.88330000e+02 1.58200000e+02 7.81560000e+01 2.13320000e+01 8.39340000e+00 2.22490000e+00 8.61130000e-01 4.11190000e-01 2.24500000e-01 8.63440000e-02 4.11900000e-02 1.08360000e-02 4.27860000e-03 1.20340000e-03 5.14280000e-04 2.76900000e-04 1.72320000e-04 8.69390000e-05 5.40400000e-05 2.54900000e-05] [N.binding] K = 0.4049 L2 = 0.0115 L3 = 0.0115 L1 = 0.0231 [Kr] JL1 = 1.11037811746 JL3 = 4.38818565401 JL2 = 1.41986225081 energy = [ 1.00000000e+00 1.50000000e+00 1.67170000e+00 1.68510000e+00 1.72670000e+00 1.74050000e+00 1.90050000e+00 1.91570000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.42660000e+01 1.43800000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 5.61720000e+04 2.52630000e+04 2.00030000e+04 1.96560000e+04 1.86270000e+04 1.83000000e+04 1.50190000e+04 1.47480000e+04 1.33630000e+04 4.99490000e+03 2.35170000e+03 1.27470000e+03 7.59870000e+02 3.26190000e+02 1.65320000e+02 5.38580000e+01 5.24920000e+01 4.58010000e+01 1.78150000e+01 4.52990000e+00 1.67740000e+00 7.68950000e-01 4.04930000e-01 1.46740000e-01 6.68420000e-02 1.63170000e-02 6.13500000e-03 1.63180000e-03 6.72350000e-04 3.50660000e-04 2.11490000e-04 1.00620000e-04 5.91470000e-05 2.50060000e-05] M = [ 3.75750000e+05 1.42080000e+05 1.08770000e+05 1.06640000e+05 1.00380000e+05 9.84070000e+04 7.90020000e+04 7.74370000e+04 6.94950000e+04 2.45910000e+04 1.15420000e+04 6.35940000e+03 3.88670000e+03 1.77090000e+03 9.55450000e+02 3.53240000e+02 3.45380000e+02 3.06550000e+02 1.35320000e+02 4.21250000e+01 1.82150000e+01 9.45070000e+00 5.50910000e+00 2.33760000e+00 1.19780000e+00 3.54480000e-01 1.50360000e-01 4.61540000e-02 2.07110000e-02 1.14750000e-02 7.26070000e-03 3.71100000e-03 2.30560000e-03 1.06640000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.95720000e+05 3.32690000e+05 5.19480000e+05 4.12610000e+05 4.69150000e+05 4.25640000e+05 1.54390000e+05 7.30000000e+04 4.02540000e+04 2.45700000e+04 1.11500000e+04 5.99230000e+03 2.20200000e+03 2.15270000e+03 1.90950000e+03 8.39610000e+02 2.60050000e+02 1.12090000e+02 5.80250000e+01 3.37680000e+01 1.42950000e+01 7.31390000e+00 2.16060000e+00 9.15200000e-01 2.80520000e-01 1.25790000e-01 6.96740000e-02 4.40810000e-02 2.25310000e-02 1.39990000e-02 6.47670000e-03] M5 = [ 9.83130000e+04 2.72890000e+04 1.90580000e+04 1.85560000e+04 1.70980000e+04 1.66450000e+04 1.23560000e+04 1.20240000e+04 1.03720000e+04 2.45840000e+03 8.42460000e+02 3.57890000e+02 1.75020000e+02 5.50070000e+01 2.18890000e+01 4.86040000e+00 4.69680000e+00 3.91740000e+00 1.12500000e+00 1.88980000e-01 5.25400000e-02 1.92640000e-02 8.53230000e-03 2.37270000e-03 8.89240000e-04 1.56230000e-04 4.77800000e-05 9.95330000e-06 3.57410000e-06 1.72680000e-06 1.00520000e-06 4.51150000e-07 2.63210000e-07 1.09070000e-07] M4 = [ 6.73070000e+04 1.87730000e+04 1.31290000e+04 1.27840000e+04 1.17830000e+04 1.14730000e+04 8.52610000e+03 8.29770000e+03 7.16200000e+03 1.70760000e+03 5.87940000e+02 2.50770000e+02 1.23070000e+02 3.89240000e+01 1.55770000e+01 3.49550000e+00 3.37870000e+00 2.82190000e+00 8.18570000e-01 1.39800000e-01 3.94000000e-02 1.47220000e-02 6.58800000e-03 1.86600000e-03 7.09570000e-04 1.27060000e-04 3.90940000e-05 8.04070000e-06 2.82060000e-06 1.30150000e-06 7.15440000e-07 2.99410000e-07 1.61610000e-07 6.32540000e-08] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.88700000e+05 1.41400000e+05 1.38710000e+05 1.24370000e+05 4.22480000e+04 1.87680000e+04 9.76660000e+03 5.64720000e+03 2.32150000e+03 1.14310000e+03 3.58510000e+02 3.49150000e+02 3.03470000e+02 1.15330000e+02 2.85790000e+01 1.04310000e+01 4.73890000e+00 2.48030000e+00 8.91750000e-01 4.04340000e-01 9.77910000e-02 3.66240000e-02 9.69930000e-03 3.98500000e-03 2.07430000e-03 1.25450000e-03 5.95770000e-04 3.50820000e-04 1.48180000e-04] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.95720000e+05 3.32690000e+05 3.30790000e+05 2.71200000e+05 2.65630000e+05 2.36980000e+05 7.90660000e+04 3.47100000e+04 1.78910000e+04 1.02630000e+04 4.16640000e+03 2.02990000e+03 6.25200000e+02 6.08620000e+02 5.27790000e+02 1.97280000e+02 4.75870000e+01 1.69900000e+01 7.57280000e+00 3.89710000e+00 1.36090000e+00 6.02150000e-01 1.38990000e-01 5.04140000e-02 1.28980000e-02 5.24800000e-03 2.74390000e-03 1.66860000e-03 8.17820000e-04 4.95410000e-04 2.23380000e-04] M3 = [ 1.10580000e+05 4.87550000e+04 3.84190000e+04 3.77400000e+04 3.57260000e+04 3.50880000e+04 2.86870000e+04 2.81620000e+04 2.54710000e+04 9.36280000e+03 4.35650000e+03 2.33940000e+03 1.38370000e+03 5.86360000e+02 2.94040000e+02 9.40430000e+01 9.16170000e+01 7.97510000e+01 3.05000000e+01 7.54640000e+00 2.73280000e+00 1.22910000e+00 6.36490000e-01 2.24090000e-01 9.95200000e-02 2.31380000e-02 8.42400000e-03 2.16330000e-03 8.81430000e-04 4.60860000e-04 2.81140000e-04 1.37740000e-04 8.35820000e-05 3.75890000e-05] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.47980000e+04 6.42830000e+04 3.30710000e+04 1.95220000e+04 1.25960000e+04 8.65950000e+03 4.66260000e+03 2.81930000e+03 1.21830000e+03 1.19500000e+03 1.07830000e+03 5.27000000e+02 1.83890000e+02 8.46670000e+01 4.57130000e+01 2.73910000e+01 1.20430000e+01 6.30740000e+00 1.92380000e+00 8.28160000e-01 2.57920000e-01 1.16560000e-01 6.48560000e-02 4.11580000e-02 2.11170000e-02 1.31520000e-02 6.10520000e-03] JK = 6.91147540984 M1 = [ 4.33770000e+04 2.19970000e+04 1.81640000e+04 1.79080000e+04 1.71440000e+04 1.69000000e+04 1.44140000e+04 1.42050000e+04 1.31270000e+04 6.06780000e+03 3.40320000e+03 2.13670000e+03 1.44510000e+03 7.64460000e+02 4.58630000e+02 1.96980000e+02 1.93190000e+02 1.74260000e+02 8.50670000e+01 2.97190000e+01 1.37130000e+01 7.41860000e+00 4.45250000e+00 1.96250000e+00 1.02980000e+00 3.14740000e-01 1.35710000e-01 4.23410000e-02 1.91510000e-02 1.06610000e-02 6.76630000e-03 3.47190000e-03 2.16240000e-03 1.00360000e-03] all other = [ 2.05490000e+04 9.23100000e+03 7.35460000e+03 7.23140000e+03 6.86590000e+03 6.75020000e+03 5.58770000e+03 5.49180000e+03 4.99890000e+03 1.99190000e+03 1.00130000e+03 5.77220000e+02 3.64100000e+02 1.73710000e+02 9.66020000e+01 3.72660000e+01 3.64670000e+01 3.25080000e+01 1.47400000e+01 4.73040000e+00 2.08120000e+00 1.09200000e+00 6.41590000e-01 2.75070000e-01 1.41880000e-01 4.23930000e-02 1.80650000e-02 5.57090000e-03 2.50550000e-03 1.39010000e-03 8.80370000e-04 4.50540000e-04 2.80190000e-04 1.29890000e-04] total = [ 3.96300000e+05 1.51310000e+05 1.16130000e+05 5.09600000e+05 4.39930000e+05 6.24640000e+05 4.97200000e+05 5.52080000e+05 5.00130000e+05 1.80970000e+05 8.55430000e+04 4.71910000e+04 2.88210000e+04 1.30950000e+04 7.04430000e+03 2.59250000e+03 1.79180000e+04 1.60760000e+04 7.59860000e+03 2.50240000e+03 1.11170000e+03 5.85420000e+02 3.44300000e+02 1.47490000e+02 7.59300000e+01 2.25760000e+01 9.58500000e+00 2.94310000e+00 1.32120000e+00 7.32640000e-01 4.64080000e-01 2.37780000e-01 1.48070000e-01 6.87880000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.53830000e+04 1.38280000e+04 6.60890000e+03 2.19550000e+03 9.79320000e+02 5.16850000e+02 3.04380000e+02 1.30590000e+02 6.72770000e+01 2.00190000e+01 8.50130000e+00 2.61090000e+00 1.17220000e+00 6.50100000e-01 4.11860000e-01 2.11090000e-01 1.31490000e-01 6.11150000e-02] [Kr.binding] K = 14.28 L1 = 1.9024 M5 = 0.0939 M4 = 0.0953 M1 = 0.2782 L3 = 1.6733 M3 = 0.2069 M2 = 0.2152 L2 = 1.7284 [Si] energy = [ 1.00000000e+00 1.50000000e+00 1.82670000e+00 1.84130000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 2.20220000e+02 6.29360000e+01 3.34080000e+01 3.25550000e+01 2.48580000e+01 6.34030000e+00 2.32220000e+00 1.04690000e+00 5.39960000e-01 1.86320000e-01 8.03770000e-02 1.69120000e-02 5.49200000e-03 1.10870000e-03 3.54780000e-04 1.46700000e-04 7.14070000e-05 2.30980000e-05 9.71460000e-06 2.08120000e-06 7.24250000e-07 1.75570000e-07 6.85160000e-08 3.44530000e-08 2.02940000e-08 9.31130000e-09 5.37430000e-09 2.21890000e-09] M = [ 3.30100000e+03 1.26540000e+03 7.82540000e+02 7.67310000e+02 6.25450000e+02 2.22980000e+02 1.04430000e+02 5.71620000e+01 3.46230000e+01 1.54150000e+01 8.12880000e+00 2.46960000e+00 1.03890000e+00 2.99070000e-01 1.21800000e-01 6.02560000e-02 3.37770000e-02 1.34830000e-02 6.59840000e-03 1.80590000e-03 7.28110000e-04 2.10040000e-04 9.09830000e-05 4.93700000e-05 3.08660000e-05 1.56330000e-05 9.72600000e-06 4.58670000e-06] L = [ 6.98000000e+04 2.36010000e+04 1.37990000e+04 1.35010000e+04 1.07570000e+04 3.47830000e+03 1.53940000e+03 8.11690000e+02 4.78670000e+02 2.06020000e+02 1.06210000e+02 3.12510000e+01 1.29260000e+01 3.65680000e+00 1.47590000e+00 7.26120000e-01 4.05490000e-01 1.61170000e-01 7.86600000e-02 2.14520000e-02 8.63440000e-03 2.48710000e-03 1.07650000e-03 5.83900000e-04 3.64860000e-04 1.84640000e-04 1.14750000e-04 5.38590000e-05] L2 = [ 1.31490000e+04 3.65990000e+03 1.92080000e+03 1.87070000e+03 1.42070000e+03 3.56050000e+02 1.29240000e+02 5.79140000e+01 2.97500000e+01 1.02110000e+01 4.38990000e+00 9.19070000e-01 2.97550000e-01 5.98750000e-02 1.91180000e-02 7.89280000e-03 3.85480000e-03 1.24620000e-03 5.24250000e-04 1.12470000e-04 3.91610000e-05 9.52690000e-06 3.72390000e-06 1.87490000e-06 1.10800000e-06 5.09890000e-07 2.96480000e-07 1.22020000e-07] L3 = [ 2.58490000e+04 7.17430000e+03 3.75940000e+03 3.66110000e+03 2.77860000e+03 6.93800000e+02 2.51080000e+02 1.12220000e+02 5.75140000e+01 1.96570000e+01 8.41680000e+00 1.74670000e+00 5.61300000e-01 1.11400000e-01 3.51590000e-02 1.43650000e-02 6.91160000e-03 2.19520000e-03 9.08790000e-04 1.89110000e-04 6.46330000e-05 1.55000000e-05 6.11730000e-06 3.15640000e-06 1.90470000e-06 9.34490000e-07 5.65660000e-07 2.58960000e-07] M3 = [ 4.32960000e+02 1.23380000e+02 6.53860000e+01 6.37110000e+01 4.86160000e+01 1.23260000e+01 4.50130000e+00 2.02350000e+00 1.04110000e+00 3.57690000e-01 1.53700000e-01 3.20630000e-02 1.03310000e-02 2.05610000e-03 6.49950000e-04 2.65740000e-04 1.28100000e-04 4.07050000e-05 1.68570000e-05 3.51260000e-06 1.20100000e-06 2.88650000e-07 1.14020000e-07 5.88620000e-08 3.56920000e-08 1.75690000e-08 1.07990000e-08 5.09730000e-09] L1 = [ 3.08010000e+04 1.27660000e+04 8.11890000e+03 7.96900000e+03 6.55750000e+03 2.42850000e+03 1.15910000e+03 6.41550000e+02 3.91410000e+02 1.76150000e+02 9.34080000e+01 2.85850000e+01 1.20670000e+01 3.48550000e+00 1.42160000e+00 7.03860000e-01 3.94730000e-01 1.57730000e-01 7.72270000e-02 2.11510000e-02 8.53060000e-03 2.46210000e-03 1.06670000e-03 5.78860000e-04 3.61850000e-04 1.83190000e-04 1.13880000e-04 5.34780000e-05] JK = 10.1831024551 M1 = [ 2.64780000e+03 1.07910000e+03 6.83740000e+02 6.71050000e+02 5.51970000e+02 2.04310000e+02 9.76070000e+01 5.40920000e+01 3.30420000e+01 1.48710000e+01 7.89470000e+00 2.42060000e+00 1.02310000e+00 2.95910000e-01 1.20800000e-01 5.98430000e-02 3.35780000e-02 1.34200000e-02 6.57180000e-03 1.80030000e-03 7.26180000e-04 2.09580000e-04 9.08000000e-05 4.92770000e-05 3.08100000e-05 1.56070000e-05 9.70980000e-06 4.57930000e-06] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 7.31010000e+04 2.48660000e+04 1.45820000e+04 1.48490000e+05 1.29420000e+05 4.55480000e+04 2.10540000e+04 1.13690000e+04 6.80220000e+03 2.97440000e+03 1.54640000e+03 4.59340000e+02 1.90750000e+02 5.41310000e+01 2.18680000e+01 1.07610000e+01 6.00990000e+00 2.38730000e+00 1.16470000e+00 3.17400000e-01 1.27690000e-01 3.67530000e-02 1.59030000e-02 8.62350000e-03 5.39350000e-03 2.73020000e-03 1.69730000e-03 7.96920000e-04] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.34220000e+05 1.18030000e+05 4.18470000e+04 1.94100000e+04 1.05000000e+04 6.28890000e+03 2.75300000e+03 1.43210000e+03 4.25620000e+02 1.76790000e+02 5.01750000e+01 2.02710000e+01 9.97490000e+00 5.57060000e+00 2.21260000e+00 1.07940000e+00 2.94140000e-01 1.18320000e-01 3.40560000e-02 1.47350000e-02 7.99020000e-03 4.99780000e-03 2.52990000e-03 1.57280000e-03 7.38480000e-04] [Si.binding] K = 1.8285 L1 = 0.1516 M1 = 0.0136 L3 = 0.108 M3 = 0.0065 M2 = 0.0066 L2 = 0.1087 [Sn] JL1 = 1.1286954724 JL3 = 3.02548349271 JL2 = 1.33063932449 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.92270000e+00 3.95410000e+00 4.00000000e+00 4.15690000e+00 4.19010000e+00 4.43620000e+00 4.47170000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 2.91560000e+01 2.93900000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 1.05870000e+05 6.15930000e+04 3.76650000e+04 1.69080000e+04 9.38860000e+03 9.21980000e+03 8.98030000e+03 8.22060000e+03 8.07030000e+03 7.06490000e+03 6.93390000e+03 5.31580000e+03 3.39510000e+03 1.61760000e+03 8.85700000e+02 2.80300000e+02 1.19160000e+02 3.72330000e+01 3.63100000e+01 3.40360000e+01 1.36020000e+01 6.59490000e+00 3.62810000e+00 1.40290000e+00 6.69760000e-01 1.75980000e-01 6.93230000e-02 1.95210000e-02 8.30690000e-03 4.42540000e-03 2.71140000e-03 1.31300000e-03 7.82780000e-04 3.35720000e-04] M = [ 1.40920000e+06 5.64040000e+05 2.82520000e+05 1.02680000e+05 5.15930000e+04 5.05380000e+04 4.90480000e+04 4.43820000e+04 4.34710000e+04 3.74610000e+04 3.66890000e+04 2.73780000e+04 1.69070000e+04 7.82670000e+03 4.27280000e+03 1.40040000e+03 6.27880000e+02 2.16880000e+02 2.12020000e+02 2.00010000e+02 8.80400000e+01 4.63720000e+01 2.73900000e+01 1.18830000e+01 6.20070000e+00 1.89980000e+00 8.25520000e-01 2.61640000e-01 1.19660000e-01 6.70960000e-02 4.27670000e-02 2.19920000e-02 1.36650000e-02 6.26640000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.23870000e+05 1.26500000e+05 1.13660000e+05 1.69540000e+05 1.49420000e+05 1.75220000e+05 1.33780000e+05 8.35470000e+04 3.93400000e+04 2.16600000e+04 7.15750000e+03 3.21660000e+03 1.11240000e+03 1.08760000e+03 1.02600000e+03 4.51790000e+02 2.37980000e+02 1.40560000e+02 6.09560000e+01 3.17950000e+01 9.73220000e+00 4.22600000e+00 1.33820000e+00 6.12040000e-01 3.43180000e-01 2.18760000e-01 1.12530000e-01 6.99410000e-02 3.20980000e-02] M5 = [ 5.90690000e+05 1.96710000e+05 8.40670000e+04 2.33590000e+04 9.52240000e+03 9.26650000e+03 8.90790000e+03 7.80580000e+03 7.59420000e+03 6.23260000e+03 6.06210000e+03 4.09810000e+03 2.13480000e+03 7.38710000e+02 3.15880000e+02 6.40220000e+01 1.99080000e+01 4.14780000e+00 4.01080000e+00 3.67830000e+00 1.08580000e+00 4.18570000e-01 1.91850000e-01 5.61570000e-02 2.18140000e-02 4.04220000e-03 1.27650000e-03 2.74890000e-04 1.00860000e-04 4.88380000e-05 2.82570000e-05 1.30880000e-05 7.40340000e-06 3.16450000e-06] M4 = [ 4.04980000e+05 1.36290000e+05 5.86160000e+04 1.64450000e+04 6.74940000e+03 6.56940000e+03 6.31700000e+03 5.54130000e+03 5.39220000e+03 4.43220000e+03 4.31190000e+03 2.92400000e+03 1.53120000e+03 5.34690000e+02 2.30440000e+02 4.74690000e+01 1.49600000e+01 3.18150000e+00 3.07790000e+00 2.82610000e+00 8.49650000e-01 3.32650000e-01 1.54510000e-01 4.62210000e-02 1.82580000e-02 3.47430000e-03 1.10910000e-03 2.38840000e-04 8.56090000e-05 4.04630000e-05 2.26060000e-05 9.49520000e-06 5.28960000e-06 1.93630000e-06] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.81860000e+04 5.26590000e+04 5.16680000e+04 3.92900000e+04 2.38940000e+04 1.06810000e+04 5.59440000e+03 1.65230000e+03 6.74620000e+02 2.01730000e+02 1.96580000e+02 1.83880000e+02 7.16010000e+01 3.41390000e+01 1.85620000e+01 7.06570000e+00 3.33970000e+00 8.65350000e-01 3.38440000e-01 9.44900000e-02 4.00430000e-02 2.12770000e-02 1.30160000e-02 6.29300000e-03 3.74240000e-03 1.60820000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.23870000e+05 1.26500000e+05 1.13660000e+05 1.11350000e+05 9.67610000e+04 9.48530000e+04 7.05250000e+04 4.21770000e+04 1.84200000e+04 9.46660000e+03 2.70010000e+03 1.07370000e+03 3.09650000e+02 3.01500000e+02 2.81440000e+02 1.06250000e+02 4.93670000e+01 2.62420000e+01 9.61640000e+00 4.40460000e+00 1.07500000e+00 4.03270000e-01 1.07110000e-01 4.43670000e-02 2.33970000e-02 1.43250000e-02 7.01850000e-03 4.23330000e-03 1.88320000e-03] M3 = [ 2.31110000e+05 1.25560000e+05 7.41860000e+04 3.19900000e+04 1.73540000e+04 1.70300000e+04 1.65710000e+04 1.51190000e+04 1.48330000e+04 1.29270000e+04 1.26800000e+04 9.63070000e+03 6.06220000e+03 2.82270000e+03 1.51770000e+03 4.64100000e+02 1.92230000e+02 5.78780000e+01 5.63980000e+01 5.27530000e+01 2.04310000e+01 9.64900000e+00 5.18850000e+00 1.93050000e+00 8.92890000e-01 2.20950000e-01 8.34840000e-02 2.23030000e-02 9.26820000e-03 4.89420000e-03 2.99910000e-03 1.47190000e-03 8.89580000e-04 3.95880000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.86960000e+04 2.39690000e+04 1.74760000e+04 1.02390000e+04 6.59910000e+03 2.80510000e+03 1.46830000e+03 6.01050000e+02 5.89500000e+02 5.60710000e+02 2.73930000e+02 1.54470000e+02 9.57520000e+01 4.42740000e+01 2.40500000e+01 7.79180000e+00 3.48430000e+00 1.13660000e+00 5.27630000e-01 2.98500000e-01 1.91420000e-01 9.92150000e-02 6.19660000e-02 2.86060000e-02] JK = 6.05429403202 M1 = [ 7.65010000e+04 4.38910000e+04 2.79830000e+04 1.39820000e+04 8.57820000e+03 8.45180000e+03 8.27170000e+03 7.69540000e+03 7.58050000e+03 6.80360000e+03 6.70120000e+03 5.40980000e+03 3.78390000e+03 2.11300000e+03 1.32310000e+03 5.44460000e+02 2.81630000e+02 1.14440000e+02 1.12220000e+02 1.06720000e+02 5.20710000e+01 2.93770000e+01 1.82270000e+01 8.44680000e+00 4.59800000e+00 1.49540000e+00 6.70330000e-01 2.19310000e-01 1.01890000e-01 5.76870000e-02 3.70050000e-02 1.91850000e-02 1.19800000e-02 5.52970000e-03] all other = [ 1.97250000e+05 8.42330000e+04 4.43100000e+04 1.71760000e+04 8.95580000e+03 8.78160000e+03 8.53520000e+03 7.76120000e+03 7.60940000e+03 6.60350000e+03 6.47360000e+03 4.89370000e+03 3.08200000e+03 1.46820000e+03 8.17990000e+02 2.76970000e+02 1.26630000e+02 4.47310000e+01 4.37490000e+01 4.13160000e+01 1.84520000e+01 9.81190000e+00 5.83760000e+00 2.55660000e+00 1.34260000e+00 4.15120000e-01 1.81270000e-01 5.77420000e-02 2.64860000e-02 1.48740000e-02 9.49070000e-03 4.88640000e-03 3.03870000e-03 1.39520000e-03] total = [ 1.60640000e+06 6.48270000e+05 3.26830000e+05 1.19860000e+05 6.05490000e+04 1.83190000e+05 1.84080000e+05 1.65800000e+05 2.20620000e+05 1.93480000e+05 2.18380000e+05 1.66060000e+05 1.03540000e+05 4.86350000e+04 2.67510000e+04 8.83490000e+03 3.97110000e+03 1.37400000e+03 8.31860000e+03 7.96750000e+03 3.71860000e+03 2.02500000e+03 1.22480000e+03 5.46000000e+02 2.89060000e+02 8.99670000e+01 3.93250000e+01 1.25230000e+01 5.74580000e+00 3.23100000e+00 2.06510000e+00 1.06760000e+00 6.66430000e-01 3.08060000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.97520000e+03 6.70010000e+03 3.16030000e+03 1.73080000e+03 1.05100000e+03 4.70600000e+02 2.49720000e+02 7.79200000e+01 3.40920000e+01 1.08650000e+01 4.98760000e+00 2.80580000e+00 1.79410000e+00 9.28220000e-01 5.79790000e-01 2.68300000e-01] [Sn.binding] K = 29.1857 L1 = 4.4406 M5 = 0.4945 M4 = 0.5035 M1 = 0.8692 L3 = 3.9266 M3 = 0.7103 M2 = 0.7535 L2 = 4.161 [Sm] JL1 = 1.13144454081 JL3 = 2.72997800492 JL2 = 1.34035812512 energy = [ 1.00000000e+00 1.08450000e+00 1.09320000e+00 1.11180000e+00 1.12070000e+00 1.40630000e+00 1.41760000e+00 1.50000000e+00 1.53070000e+00 1.54300000e+00 1.69890000e+00 1.71250000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 6.70100000e+00 6.75460000e+00 7.31120000e+00 7.36980000e+00 7.69580000e+00 7.75740000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 4.68360000e+01 4.72110000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.5097288289 M5 = [ 0.00000000e+00 0.00000000e+00 5.16630000e+05 1.09100000e+06 1.12720000e+06 6.33120000e+05 6.20610000e+05 5.38130000e+05 5.11030000e+05 5.00700000e+05 3.93170000e+05 3.85190000e+05 2.53480000e+05 7.80350000e+04 3.18550000e+04 1.54350000e+04 8.37730000e+03 5.73860000e+03 5.58250000e+03 4.23940000e+03 4.12300000e+03 3.54240000e+03 3.44440000e+03 3.08960000e+03 1.38850000e+03 3.07390000e+02 1.01310000e+02 2.02140000e+01 6.27560000e+00 3.28200000e+00 3.17590000e+00 2.50650000e+00 1.17910000e+00 3.58320000e-01 1.42800000e-01 2.76180000e-02 8.94470000e-03 1.98370000e-03 7.33210000e-04 3.61430000e-04 2.09530000e-04 9.45640000e-05 5.50790000e-05 2.23550000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.26650000e+05 4.37510000e+05 4.29000000e+05 3.72800000e+05 3.54300000e+05 3.47250000e+05 2.73400000e+05 2.67870000e+05 1.77770000e+05 5.54970000e+04 2.28950000e+04 1.11860000e+04 6.11460000e+03 4.20760000e+03 4.09460000e+03 3.11950000e+03 3.03480000e+03 2.61250000e+03 2.54110000e+03 2.28250000e+03 1.03610000e+03 2.34130000e+02 7.84560000e+01 1.60780000e+01 5.10070000e+00 2.70180000e+00 2.61620000e+00 2.07470000e+00 9.91520000e-01 3.09200000e-01 1.25730000e-01 2.51300000e-02 8.27070000e-03 1.83840000e-03 6.70750000e-04 3.20630000e-04 1.80440000e-04 7.81590000e-05 4.22840000e-05 1.66430000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.72230000e+04 3.91180000e+04 2.13730000e+04 1.32730000e+04 8.96820000e+03 6.42590000e+03 5.22490000e+03 5.14640000e+03 4.42600000e+03 4.35900000e+03 4.01140000e+03 3.95010000e+03 3.72110000e+03 2.39460000e+03 1.03770000e+03 5.57530000e+02 2.23070000e+02 1.13180000e+02 7.72480000e+01 7.57570000e+01 6.58100000e+01 4.18360000e+01 2.01260000e+01 1.12660000e+01 3.84370000e+00 1.77800000e+00 6.05090000e-01 2.88030000e-01 1.65570000e-01 1.07210000e-01 5.61470000e-02 3.51710000e-02 1.61810000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.02760000e+05 1.86990000e+05 1.82980000e+05 1.81280000e+05 1.57940000e+05 1.55980000e+05 1.21720000e+05 5.97290000e+04 3.33320000e+04 2.04500000e+04 1.34330000e+04 1.03200000e+04 1.01230000e+04 8.34630000e+03 8.18420000e+03 7.35260000e+03 7.20790000e+03 6.67330000e+03 3.76740000e+03 1.25540000e+03 5.51010000e+02 1.63230000e+02 6.65070000e+01 4.02230000e+01 3.92070000e+01 3.25960000e+01 1.80380000e+01 7.00100000e+00 3.33680000e+00 8.66810000e-01 3.37190000e-01 9.31560000e-02 3.93420000e-02 2.09210000e-02 1.28660000e-02 6.31280000e-03 3.80220000e-03 1.67350000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.69620000e+04 6.94070000e+04 6.88030000e+04 5.59530000e+04 2.98990000e+04 1.75140000e+04 1.11100000e+04 7.48600000e+03 5.83960000e+03 5.73420000e+03 4.77460000e+03 4.68650000e+03 4.23420000e+03 4.15550000e+03 3.86350000e+03 2.24360000e+03 7.86790000e+02 3.58350000e+02 1.12150000e+02 4.76340000e+01 2.95050000e+01 2.87950000e+01 2.41550000e+01 1.37610000e+01 5.60550000e+00 2.77890000e+00 7.77230000e-01 3.18400000e-01 9.38580000e-02 4.10320000e-02 2.22600000e-02 1.38290000e-02 6.81940000e-03 4.10290000e-03 1.78480000e-03] total = [ 5.23560000e+05 4.50470000e+05 9.60390000e+05 1.52090000e+06 1.87720000e+06 1.34170000e+06 1.51910000e+06 1.33550000e+06 1.27620000e+06 1.33030000e+06 1.07710000e+06 1.10520000e+06 7.76950000e+05 2.96080000e+05 1.44950000e+05 8.23090000e+04 5.14870000e+04 3.86450000e+04 1.05500000e+05 8.61710000e+04 1.15500000e+05 1.03770000e+05 1.17410000e+05 1.08840000e+05 6.15420000e+04 2.09830000e+04 9.63270000e+03 3.15280000e+03 1.41200000e+03 9.06070000e+02 4.99220000e+03 4.29690000e+03 2.65670000e+03 1.22410000e+03 6.63580000e+02 2.14490000e+02 9.60090000e+01 3.15130000e+01 1.47340000e+01 8.38950000e+00 5.40670000e+00 2.81990000e+00 1.76520000e+00 8.13560000e-01] JM2 = 1.04239147469 JM3 = 1.13222031751 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.10630000e+03 3.54340000e+03 2.20690000e+03 1.02560000e+03 5.58630000e+02 1.81520000e+02 8.14230000e+01 2.67750000e+01 1.25330000e+01 7.14210000e+00 4.60640000e+00 2.40580000e+00 1.50760000e+00 6.96020000e-01] JM1 = 1.02608857116 M = [ 0.00000000e+00 0.00000000e+00 5.16630000e+05 1.09100000e+06 1.45380000e+06 1.07060000e+06 1.25240000e+06 1.09790000e+06 1.04830000e+06 1.10620000e+06 8.93910000e+05 9.25060000e+05 6.48050000e+05 2.44530000e+05 1.18870000e+05 6.71490000e+04 4.18360000e+04 3.13300000e+04 3.06800000e+04 2.49060000e+04 2.43880000e+04 2.17530000e+04 2.12990000e+04 1.96300000e+04 1.08300000e+04 3.62140000e+03 1.64670000e+03 5.34740000e+02 2.38700000e+02 1.52960000e+02 1.49550000e+02 1.27140000e+02 7.58060000e+01 3.34000000e+01 1.76500000e+01 5.54050000e+00 2.45080000e+00 7.95930000e-01 3.69810000e-01 2.09430000e-01 1.34290000e-01 6.94520000e-02 4.31730000e-02 1.96790000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.76500000e+04 5.53980000e+04 8.53590000e+04 7.68650000e+04 9.10620000e+04 8.45420000e+04 4.80870000e+04 1.64580000e+04 7.56760000e+03 2.47920000e+03 1.11060000e+03 7.12710000e+02 6.96850000e+02 5.92710000e+02 3.53810000e+02 1.56090000e+02 8.25380000e+01 2.59230000e+01 1.14670000e+01 3.72400000e+00 1.73050000e+00 9.80450000e-01 6.29000000e-01 3.25540000e-01 2.02530000e-01 9.24340000e-02] JM4 = 1.23426918272 JM5 = 2.13197327236 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.11300000e+04 2.83670000e+04 2.77220000e+04 2.55230000e+04 1.43530000e+04 4.59510000e+03 1.98260000e+03 5.82750000e+02 2.38670000e+02 1.45270000e+02 1.41650000e+02 1.18110000e+02 6.61420000e+01 2.63290000e+01 1.28610000e+01 3.52190000e+00 1.42680000e+00 4.15810000e-01 1.80780000e-01 9.77790000e-02 6.05270000e-02 2.97600000e-02 1.78690000e-02 7.78200000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.76500000e+04 5.53980000e+04 5.42290000e+04 4.84980000e+04 4.75170000e+04 4.38750000e+04 2.34470000e+04 7.13930000e+03 2.97170000e+03 8.26770000e+02 3.24880000e+02 1.93150000e+02 1.88120000e+02 1.55510000e+02 8.46130000e+01 3.21160000e+01 1.50910000e+01 3.84150000e+00 1.47850000e+00 4.04030000e-01 1.69720000e-01 9.01680000e-02 5.53450000e-02 2.71170000e-02 1.63420000e-02 7.15510000e-03] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.58230000e+04 1.51440000e+04 1.02870000e+04 4.72340000e+03 2.61330000e+03 1.06970000e+03 5.47080000e+02 3.74290000e+02 3.67090000e+02 3.19080000e+02 2.03060000e+02 9.76440000e+01 5.45870000e+01 1.85600000e+01 8.56190000e+00 2.90410000e+00 1.38000000e+00 7.92510000e-01 5.13130000e-01 2.68660000e-01 1.68320000e-01 7.74970000e-02] all other = [ 5.23560000e+05 4.50470000e+05 4.43760000e+05 4.29860000e+05 4.23410000e+05 2.71070000e+05 2.66720000e+05 2.37600000e+05 2.27860000e+05 2.24130000e+05 1.83180000e+05 1.80110000e+05 1.28910000e+05 5.15430000e+04 2.60830000e+04 1.51600000e+04 9.65060000e+03 7.31430000e+03 7.16870000e+03 5.86730000e+03 5.74970000e+03 5.15010000e+03 5.04650000e+03 4.66510000e+03 2.62520000e+03 9.04290000e+02 4.18470000e+02 1.38790000e+02 6.26920000e+01 4.04030000e+01 3.95130000e+01 3.36570000e+01 2.01820000e+01 8.96140000e+00 4.76010000e+00 1.50560000e+00 6.68380000e-01 2.18000000e-01 1.01510000e-01 5.75690000e-02 3.69490000e-02 1.91270000e-02 1.18970000e-02 5.42650000e-03] [Sm.binding] K = 46.8832 L1 = 7.7035 M5 = 1.0856 M4 = 1.1129 M1 = 1.7006 L3 = 6.7077 M3 = 1.4077 M2 = 1.5322 L2 = 7.3185 [V] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 5.43420000e+00 5.47770000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 1.28700000e+04 4.51260000e+03 2.04500000e+03 6.26650000e+02 2.58510000e+02 1.27000000e+02 9.69440000e+01 9.44560000e+01 7.00830000e+01 2.68010000e+01 1.24790000e+01 2.98970000e+00 1.05620000e+00 2.37240000e-01 8.09370000e-02 3.49750000e-02 1.75980000e-02 5.96970000e-03 2.59670000e-03 5.87460000e-04 2.11300000e-04 5.33450000e-05 2.13230000e-05 1.09040000e-05 6.48610000e-06 3.02810000e-06 1.76340000e-06 7.33350000e-07] M = [ 5.56880000e+04 2.08630000e+04 1.01190000e+04 3.52540000e+03 1.63170000e+03 8.88110000e+02 7.06280000e+02 6.90920000e+02 5.37120000e+02 2.40640000e+02 1.28070000e+02 3.99590000e+01 1.72390000e+01 5.17090000e+00 2.16900000e+00 1.09850000e+00 6.27510000e-01 2.57830000e-01 1.28910000e-01 3.65710000e-02 1.50830000e-02 4.47110000e-03 1.96620000e-03 1.07620000e-03 6.76150000e-04 3.43580000e-04 2.13510000e-04 9.96340000e-05] L = [ 4.92230000e+05 1.76410000e+05 8.28650000e+04 2.77820000e+04 1.25930000e+04 6.76710000e+03 5.35950000e+03 5.24090000e+03 4.05700000e+03 1.79560000e+03 9.47620000e+02 2.92000000e+02 1.25130000e+02 3.72530000e+01 1.55770000e+01 7.86840000e+00 4.48670000e+00 1.83910000e+00 9.18080000e-01 2.59890000e-01 1.07050000e-01 3.17120000e-02 1.39390000e-02 7.62840000e-03 4.79180000e-03 2.43480000e-03 1.51280000e-03 7.05790000e-04] M5 = [ 1.08030000e+03 2.42640000e+02 8.01260000e+01 1.56160000e+01 4.67240000e+00 1.78980000e+00 1.25100000e+00 1.20880000e+00 8.15940000e-01 2.32600000e-01 8.61130000e-02 1.35360000e-02 3.57690000e-03 5.40190000e-04 1.40210000e-04 4.92370000e-05 2.09870000e-05 5.50790000e-06 1.98500000e-06 3.26260000e-07 9.65070000e-08 1.93730000e-08 6.91820000e-09 3.30500000e-09 1.93100000e-09 8.81270000e-10 5.16440000e-10 2.31940000e-10] M4 = [ 7.32720000e+02 1.64890000e+02 5.45490000e+01 1.06720000e+01 3.20060000e+00 1.23600000e+00 8.64880000e-01 8.35760000e-01 5.64730000e-01 1.61640000e-01 6.00830000e-02 9.52550000e-03 2.53640000e-03 3.88150000e-04 1.01860000e-04 3.60990000e-05 1.55130000e-05 4.13470000e-06 1.50270000e-06 2.51500000e-07 7.43030000e-08 1.46590000e-08 4.96590000e-09 2.27860000e-09 1.23460000e-09 5.08700000e-10 2.74300000e-10 1.11240000e-10] L2 = [ 1.34010000e+05 4.37570000e+04 1.89040000e+04 5.47680000e+03 2.19100000e+03 1.05620000e+03 8.01160000e+02 7.80150000e+02 5.75100000e+02 2.15790000e+02 9.91650000e+01 2.33270000e+01 8.16690000e+00 1.81350000e+00 6.15170000e-01 2.64830000e-01 1.32920000e-01 4.49300000e-02 1.95000000e-02 4.39620000e-03 1.57720000e-03 3.99220000e-04 1.59510000e-04 8.16350000e-05 4.86320000e-05 2.26520000e-05 1.32350000e-05 5.50030000e-06] L3 = [ 2.61380000e+05 8.47240000e+04 3.64280000e+04 1.04780000e+04 4.16850000e+03 2.00040000e+03 1.51460000e+03 1.47460000e+03 1.08480000e+03 4.04240000e+02 1.84650000e+02 4.28820000e+01 1.48510000e+01 3.23750000e+00 1.08100000e+00 4.58850000e-01 2.27390000e-01 7.51680000e-02 3.20140000e-02 6.96630000e-03 2.44370000e-03 6.02340000e-04 2.40790000e-04 1.24620000e-04 7.55920000e-05 3.70830000e-05 2.24870000e-05 1.02680000e-05] M3 = [ 2.51060000e+04 8.74460000e+03 3.94380000e+03 1.19980000e+03 4.92230000e+02 2.40690000e+02 1.83380000e+02 1.78640000e+02 1.32270000e+02 5.02250000e+01 2.32430000e+01 5.49790000e+00 1.92230000e+00 4.22720000e-01 1.41950000e-01 6.04690000e-02 3.00450000e-02 9.96260000e-03 4.25180000e-03 9.27750000e-04 3.25770000e-04 8.05190000e-05 3.22050000e-05 1.66840000e-05 1.01450000e-05 4.95900000e-06 3.01830000e-06 1.37450000e-06] L1 = [ 9.68430000e+04 4.79310000e+04 2.75340000e+04 1.18270000e+04 6.23310000e+03 3.71050000e+03 3.04380000e+03 2.98620000e+03 2.39710000e+03 1.17560000e+03 6.63800000e+02 2.25790000e+02 1.02110000e+02 3.22020000e+01 1.38800000e+01 7.14480000e+00 4.12640000e+00 1.71900000e+00 8.66570000e-01 2.48530000e-01 1.03030000e-01 3.07100000e-02 1.35390000e-02 7.42210000e-03 4.66760000e-03 2.37500000e-03 1.47710000e-03 6.90020000e-04] JK = 8.07564872224 M1 = [ 1.59000000e+04 7.19870000e+03 3.99520000e+03 1.67260000e+03 8.73140000e+02 5.17390000e+02 4.23840000e+02 4.15770000e+02 3.33390000e+02 1.63220000e+02 9.22030000e+01 3.14490000e+01 1.42550000e+01 4.51000000e+00 1.94590000e+00 1.00300000e+00 5.79830000e-01 2.41890000e-01 1.22050000e-01 3.50550000e-02 1.45450000e-02 4.33720000e-03 1.91260000e-03 1.04870000e-03 6.59510000e-04 3.35590000e-04 2.08730000e-04 9.75260000e-05] all other = [ 1.17460000e+03 5.26510000e+02 2.90910000e+02 1.21870000e+02 6.35390000e+01 3.76290000e+01 3.08200000e+01 3.02330000e+01 2.42390000e+01 1.18630000e+01 6.70130000e+00 2.28580000e+00 1.03610000e+00 3.27820000e-01 1.41600000e-01 7.29970000e-02 4.22050000e-02 1.76090000e-02 8.88590000e-03 2.55230000e-03 1.05910000e-03 3.15840000e-04 1.39320000e-04 7.64210000e-05 4.80940000e-05 2.45250000e-05 1.53000000e-05 7.24070000e-06] total = [ 5.49090000e+05 1.97800000e+05 9.32750000e+04 3.14290000e+04 1.42880000e+04 7.69290000e+03 6.09660000e+03 4.92340000e+04 3.95090000e+04 1.86410000e+04 1.02140000e+04 3.30870000e+03 1.45050000e+03 4.40570000e+02 1.85790000e+02 9.42730000e+01 5.39000000e+01 2.21560000e+01 1.10750000e+01 3.13850000e+00 1.29310000e+00 3.82850000e-01 1.68270000e-01 9.21050000e-02 5.78750000e-02 2.94300000e-02 1.83030000e-02 8.55540000e-03] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.32720000e+04 3.48910000e+04 1.65930000e+04 9.13140000e+03 2.97440000e+03 1.30710000e+03 3.97820000e+02 1.67900000e+02 8.52330000e+01 4.87440000e+01 2.00410000e+01 1.00190000e+01 2.83950000e+00 1.16990000e+00 3.46350000e-01 1.52230000e-01 8.33240000e-02 5.23590000e-02 2.66270000e-02 1.65620000e-02 7.74270000e-03] [V.binding] K = 5.4397 L1 = 0.6238 M5 = 0.0095 M4 = 0.0096 M1 = 0.0764 L3 = 0.5245 M3 = 0.0498 M2 = 0.0507 L2 = 0.5319 [Sc] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 4.46140000e+00 4.49710000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 8.69060000e+03 2.93950000e+03 1.29740000e+03 3.82630000e+02 1.54000000e+02 1.08120000e+02 1.05350000e+02 7.44070000e+01 4.05460000e+01 1.52010000e+01 6.96650000e+00 1.62520000e+00 5.65470000e-01 1.24120000e-01 4.17400000e-02 1.78550000e-02 8.91610000e-03 2.99320000e-03 1.29250000e-03 2.89190000e-04 1.03310000e-04 2.58650000e-05 1.02840000e-05 5.24520000e-06 3.11130000e-06 1.44900000e-06 8.41850000e-07 3.48990000e-07] M = [ 3.82720000e+04 1.42100000e+04 6.84430000e+03 2.35890000e+03 1.08460000e+03 8.04720000e+02 7.87310000e+02 5.88150000e+02 3.54820000e+02 1.58280000e+02 8.38830000e+01 2.59550000e+01 1.11300000e+01 3.30480000e+00 1.37790000e+00 6.94150000e-01 3.94860000e-01 1.61220000e-01 8.02290000e-02 2.25850000e-02 9.26890000e-03 2.73120000e-03 1.19700000e-03 6.53950000e-04 4.10350000e-04 2.08350000e-04 1.29470000e-04 6.05080000e-05] L = [ 3.51500000e+05 1.23800000e+05 5.76930000e+04 1.91750000e+04 8.65640000e+03 6.38490000e+03 6.24410000e+03 4.63980000e+03 2.77480000e+03 1.22250000e+03 6.42540000e+02 1.96530000e+02 8.37420000e+01 2.47090000e+01 1.02630000e+01 5.15770000e+00 2.92900000e+00 1.19320000e+00 5.92950000e-01 1.66570000e-01 6.82890000e-02 2.01120000e-02 8.81120000e-03 4.81270000e-03 3.01970000e-03 1.53290000e-03 9.52480000e-04 4.44890000e-04] M5 = [ 1.55070000e+02 3.34990000e+01 1.06940000e+01 1.99120000e+00 5.81880000e-01 3.64470000e-01 3.52200000e-01 2.23150000e-01 1.01090000e-01 2.81690000e-02 1.02010000e-02 1.56750000e-03 4.09800000e-04 6.07030000e-05 1.55460000e-05 5.40370000e-06 2.28570000e-06 5.93610000e-07 2.12290000e-07 3.47230000e-08 1.02160000e-08 2.05000000e-09 7.23510000e-10 3.48830000e-10 2.03660000e-10 9.34700000e-11 5.50130000e-11 2.75120000e-11] M4 = [ 1.04910000e+02 2.27070000e+01 7.26420000e+00 1.35550000e+00 3.99480000e-01 2.50520000e-01 2.42100000e-01 1.53590000e-01 6.97120000e-02 1.95020000e-02 7.08790000e-03 1.09830000e-03 2.89040000e-04 4.33750000e-05 1.12270000e-05 3.93610000e-06 1.67690000e-06 4.42170000e-07 1.59610000e-07 2.64060000e-08 7.76230000e-09 1.51810000e-09 5.15870000e-10 2.34610000e-10 1.27750000e-10 5.29230000e-11 2.92280000e-11 1.30390000e-11] L2 = [ 9.12660000e+04 2.88340000e+04 1.22070000e+04 3.43860000e+03 1.35160000e+03 9.41630000e+02 9.16950000e+02 6.42990000e+02 3.46230000e+02 1.27610000e+02 5.78580000e+01 1.33120000e+01 4.59200000e+00 9.99280000e-01 3.34480000e-01 1.42620000e-01 7.10800000e-02 2.37900000e-02 1.02530000e-02 2.28610000e-03 8.18790000e-04 2.05000000e-04 8.15460000e-05 4.15350000e-05 2.46490000e-05 1.15260000e-05 6.67590000e-06 2.78490000e-06] L3 = [ 1.78190000e+05 5.59640000e+04 2.35950000e+04 6.60510000e+03 2.58380000e+03 1.79660000e+03 1.74920000e+03 1.22420000e+03 6.56820000e+02 2.40560000e+02 1.08470000e+02 2.46640000e+01 8.42270000e+00 1.80130000e+00 5.93930000e-01 2.49900000e-01 1.23040000e-01 4.03150000e-02 1.70680000e-02 3.68080000e-03 1.28220000e-03 3.14410000e-04 1.25230000e-04 6.48540000e-05 3.94150000e-05 1.91890000e-05 1.17200000e-05 5.30420000e-06] M3 = [ 1.69840000e+04 5.71270000e+03 2.51110000e+03 7.35970000e+02 2.94740000e+02 2.06530000e+02 2.01190000e+02 1.41810000e+02 7.69940000e+01 2.86800000e+01 1.30710000e+01 3.01460000e+00 1.03580000e+00 2.23430000e-01 7.40190000e-02 3.12330000e-02 1.54110000e-02 5.06130000e-03 2.14670000e-03 4.63810000e-04 1.61940000e-04 3.97770000e-05 1.58700000e-05 8.20750000e-06 4.98640000e-06 2.43770000e-06 1.48440000e-06 6.77900000e-07] L1 = [ 8.20510000e+04 3.90020000e+04 2.18910000e+04 9.13170000e+03 4.72110000e+03 3.64670000e+03 3.57790000e+03 2.77260000e+03 1.77180000e+03 8.54310000e+02 4.76220000e+02 1.58550000e+02 7.07270000e+01 2.19080000e+01 9.33450000e+00 4.76520000e+00 2.73490000e+00 1.12910000e+00 5.65630000e-01 1.60610000e-01 6.61880000e-02 1.95930000e-02 8.60440000e-03 4.70630000e-03 2.95560000e-03 1.50220000e-03 9.34080000e-04 4.36810000e-04] JK = 8.37855788789 M1 = [ 1.23380000e+04 5.50190000e+03 3.01790000e+03 1.23690000e+03 6.34920000e+02 4.89460000e+02 4.80170000e+02 3.71550000e+02 2.37110000e+02 1.14350000e+02 6.38280000e+01 2.13130000e+01 9.52830000e+00 2.95720000e+00 1.26210000e+00 6.45050000e-01 3.70530000e-01 1.53160000e-01 7.67900000e-02 2.18320000e-02 9.00360000e-03 2.66560000e-03 1.17090000e-03 6.40500000e-04 4.02250000e-04 2.04460000e-04 1.27140000e-04 5.94810000e-05] all other = [ 9.48920000e+02 4.20090000e+02 2.29720000e+02 9.42870000e+01 4.83530000e+01 3.72670000e+01 3.65600000e+01 2.82840000e+01 1.80460000e+01 8.70210000e+00 4.85740000e+00 1.62200000e+00 7.25150000e-01 2.25300000e-01 9.61750000e-02 4.91600000e-02 2.82410000e-02 1.16750000e-02 5.85360000e-03 1.66430000e-03 6.86370000e-04 2.03230000e-04 8.93000000e-05 4.88780000e-05 3.07260000e-05 1.56530000e-05 9.76920000e-06 4.63960000e-06] total = [ 3.90720000e+05 1.38430000e+05 6.47670000e+04 2.16290000e+04 9.78940000e+03 7.22690000e+03 6.05510000e+04 4.69360000e+04 2.92500000e+04 1.35590000e+04 7.35660000e+03 2.33980000e+03 1.01430000e+03 3.03780000e+02 1.26970000e+02 6.40220000e+01 3.64260000e+01 1.48680000e+01 7.39500000e+00 2.07870000e+00 8.52110000e-01 2.50770000e-01 1.09850000e-01 6.00040000e-02 3.76560000e-02 1.91280000e-02 1.18950000e-02 5.56540000e-03] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.34830000e+04 4.16800000e+04 2.61020000e+04 1.21700000e+04 6.62530000e+03 2.11570000e+03 9.18720000e+02 2.75540000e+02 1.15240000e+02 5.81210000e+01 3.30740000e+01 1.35020000e+01 6.71590000e+00 1.88780000e+00 7.73860000e-01 2.27730000e-01 9.97510000e-02 5.44880000e-02 3.41960000e-02 1.73710000e-02 1.08030000e-02 5.05530000e-03] [Sc.binding] K = 4.4659 L1 = 0.4943 M5 = 0.007 M4 = 0.0071 M1 = 0.0609 L3 = 0.4088 M3 = 0.0391 M2 = 0.0396 L2 = 0.4137 [Sb] JL1 = 1.1298630137 JL3 = 2.97742756865 JL2 = 1.32935973851 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 4.12620000e+00 4.15930000e+00 4.38180000e+00 4.41690000e+00 4.66940000e+00 4.70680000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 3.04500000e+01 3.06940000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 1.07720000e+05 6.40060000e+04 3.95410000e+04 1.79730000e+04 9.61710000e+03 8.96320000e+03 8.80190000e+03 7.80950000e+03 7.66660000e+03 6.73300000e+03 6.60780000e+03 5.72690000e+03 3.67440000e+03 1.76260000e+03 9.70060000e+02 3.09770000e+02 1.32460000e+02 3.81350000e+01 3.63950000e+01 3.54950000e+01 1.53200000e+01 7.45610000e+00 4.11400000e+00 1.59780000e+00 7.65230000e-01 2.02140000e-01 7.98880000e-02 2.25500000e-02 9.63410000e-03 5.13920000e-03 3.15150000e-03 1.52910000e-03 9.12160000e-04 3.91910000e-04] M = [ 1.51260000e+06 6.09350000e+05 3.05840000e+05 1.11450000e+05 5.33040000e+04 4.91800000e+04 4.81730000e+04 4.20640000e+04 4.11990000e+04 3.56300000e+04 3.48940000e+04 2.97830000e+04 1.84050000e+04 8.52980000e+03 4.66160000e+03 1.53040000e+03 6.86920000e+02 2.19170000e+02 2.10100000e+02 2.05400000e+02 9.65880000e+01 5.09220000e+01 3.01020000e+01 1.30770000e+01 6.83140000e+00 2.09760000e+00 9.12890000e-01 2.89900000e-01 1.32780000e-01 7.45160000e-02 4.75220000e-02 2.44480000e-02 1.51910000e-02 6.96260000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.16120000e+05 1.06260000e+05 1.58660000e+05 1.40300000e+05 1.64860000e+05 1.42550000e+05 8.98350000e+04 4.23100000e+04 2.33430000e+04 7.73560000e+03 3.48380000e+03 1.11340000e+03 1.06730000e+03 1.04350000e+03 4.90950000e+02 2.58900000e+02 1.53050000e+02 6.64730000e+01 3.47150000e+01 1.06500000e+01 4.63200000e+00 1.47000000e+00 6.73220000e-01 3.77810000e-01 2.40960000e-01 1.24010000e-01 7.70960000e-02 3.53570000e-02] M5 = [ 6.46020000e+05 2.17920000e+05 9.36950000e+04 2.62760000e+04 1.00860000e+04 9.07090000e+03 8.82670000e+03 7.37960000e+03 7.17940000e+03 5.92080000e+03 5.75860000e+03 4.66130000e+03 2.43750000e+03 8.48670000e+02 3.64650000e+02 7.44800000e+01 2.32790000e+01 4.33130000e+00 4.06850000e+00 3.93440000e+00 1.28410000e+00 4.96430000e-01 2.28020000e-01 6.69570000e-02 2.60580000e-02 4.84930000e-03 1.53470000e-03 3.30590000e-04 1.21080000e-04 5.89270000e-05 3.44080000e-05 1.56800000e-05 8.92690000e-06 3.72190000e-06] M4 = [ 4.42980000e+05 1.50990000e+05 6.53820000e+04 1.85170000e+04 7.16110000e+03 6.44600000e+03 6.27380000e+03 5.25250000e+03 5.11110000e+03 4.22190000e+03 4.10720000e+03 3.33010000e+03 1.75090000e+03 6.15330000e+02 2.66510000e+02 5.53440000e+01 1.75350000e+01 3.33710000e+00 3.13750000e+00 3.03560000e+00 1.00790000e+00 3.95830000e-01 1.84290000e-01 5.53250000e-02 2.19020000e-02 4.18770000e-03 1.34050000e-03 2.89800000e-04 1.04200000e-04 4.90900000e-05 2.73690000e-05 1.16110000e-05 6.36980000e-06 2.54480000e-06] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.45840000e+04 4.95930000e+04 4.86280000e+04 4.20770000e+04 2.59650000e+04 1.16190000e+04 6.11760000e+03 1.82090000e+03 7.46950000e+02 2.04920000e+02 1.95270000e+02 1.90290000e+02 8.01370000e+01 3.83320000e+01 2.08930000e+01 7.98390000e+00 3.78420000e+00 9.85200000e-01 3.86470000e-01 1.08290000e-01 4.59920000e-02 2.44730000e-02 1.49870000e-02 7.25580000e-03 4.31860000e-03 1.85750000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.16120000e+05 1.06260000e+05 1.04080000e+05 9.07050000e+04 8.89160000e+04 7.60150000e+04 4.57000000e+04 2.00100000e+04 1.03200000e+04 2.96150000e+03 1.18300000e+03 3.11660000e+02 2.96520000e+02 2.88720000e+02 1.18090000e+02 5.50080000e+01 2.93030000e+01 1.07710000e+01 4.94450000e+00 1.21130000e+00 4.55420000e-01 1.21260000e-01 5.02930000e-02 2.65380000e-02 1.62530000e-02 7.96260000e-03 4.81770000e-03 2.13520000e-03] M3 = [ 2.37890000e+05 1.31260000e+05 7.81940000e+04 3.40720000e+04 1.77680000e+04 1.65140000e+04 1.62050000e+04 1.43090000e+04 1.40370000e+04 1.22720000e+04 1.20360000e+04 1.03770000e+04 6.55630000e+03 3.07070000e+03 1.65870000e+03 5.11160000e+02 2.12790000e+02 5.87950000e+01 5.60230000e+01 5.45920000e+01 2.28740000e+01 1.08380000e+01 5.84210000e+00 2.18170000e+00 1.01160000e+00 2.51400000e-01 9.52290000e-02 2.55090000e-02 1.06140000e-02 5.60990000e-03 3.44010000e-03 1.68740000e-03 1.01940000e-03 4.53050000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.73130000e+04 2.44560000e+04 1.81700000e+04 1.06810000e+04 6.90560000e+03 2.95320000e+03 1.55390000e+03 5.96770000e+02 5.75540000e+02 5.64470000e+02 2.92720000e+02 1.65560000e+02 1.02850000e+02 4.77180000e+01 2.59860000e+01 8.45350000e+00 3.79010000e+00 1.24050000e+00 5.76940000e-01 3.26800000e-01 2.09720000e-01 1.08790000e-01 6.79600000e-02 3.13650000e-02] JK = 6.00378100423 M1 = [ 7.79900000e+04 4.51800000e+04 2.90280000e+04 1.46140000e+04 8.67250000e+03 8.18590000e+03 8.06520000e+03 7.31380000e+03 7.20450000e+03 6.48230000e+03 6.38450000e+03 5.68740000e+03 3.98610000e+03 2.23260000e+03 1.40170000e+03 5.79610000e+02 3.00850000e+02 1.14570000e+02 1.10470000e+02 1.08340000e+02 5.61020000e+01 3.17360000e+01 1.97330000e+01 9.17510000e+00 5.00660000e+00 1.63500000e+00 7.34900000e-01 2.41220000e-01 1.12300000e-01 6.36580000e-02 4.08680000e-02 2.12040000e-02 1.32440000e-02 6.11130000e-03] all other = [ 2.20910000e+05 9.48570000e+04 4.99940000e+04 1.94080000e+04 9.65600000e+03 8.94340000e+03 8.76880000e+03 7.70590000e+03 7.55460000e+03 6.57650000e+03 6.44670000e+03 5.53990000e+03 3.49010000e+03 1.66290000e+03 9.26640000e+02 3.13930000e+02 1.43570000e+02 4.68650000e+01 4.49600000e+01 4.39720000e+01 2.09400000e+01 1.11440000e+01 6.63110000e+00 2.90690000e+00 1.52770000e+00 4.73220000e-01 2.06920000e-01 6.60410000e-02 3.03290000e-02 1.70470000e-02 1.08820000e-02 5.60460000e-03 3.48530000e-03 1.59910000e-03] total = [ 1.73350000e+06 7.04210000e+05 3.55830000e+05 1.30860000e+05 6.29600000e+04 5.81240000e+04 1.73060000e+05 1.56030000e+05 2.07420000e+05 1.82500000e+05 2.06200000e+05 1.77870000e+05 1.11730000e+05 5.25030000e+04 2.89310000e+04 9.57990000e+03 4.31430000e+03 1.37940000e+03 1.32240000e+03 7.93940000e+03 3.98280000e+03 2.17520000e+03 1.31880000e+03 5.89160000e+02 3.12520000e+02 9.75940000e+01 4.27440000e+01 1.36450000e+01 6.27070000e+00 3.52970000e+00 2.25760000e+00 1.16790000e+00 7.29210000e-01 3.36970000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.64650000e+03 3.37430000e+03 1.85420000e+03 1.12900000e+03 5.06700000e+02 2.69450000e+02 8.43730000e+01 3.69920000e+01 1.18190000e+01 5.43440000e+00 3.06030000e+00 1.95820000e+00 1.01390000e+00 6.33430000e-01 2.93050000e-01] [Sb.binding] K = 30.4807 L1 = 4.6741 M5 = 0.5377 M4 = 0.5478 M1 = 0.9292 L3 = 4.1303 M3 = 0.7616 M2 = 0.8093 L2 = 4.3862 [Se] JL1 = 1.10924485441 JL3 = 4.23803930781 JL2 = 1.39279067489 energy = [ 1.00000000e+00 1.43710000e+00 1.44860000e+00 1.47990000e+00 1.49170000e+00 1.50000000e+00 1.63990000e+00 1.65310000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.26060000e+01 1.27070000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 4.77180000e+04 2.27530000e+04 2.23620000e+04 2.13440000e+04 2.09740000e+04 2.07200000e+04 1.69800000e+04 1.66770000e+04 1.07090000e+04 3.88440000e+03 1.79500000e+03 9.60020000e+02 5.66290000e+02 2.39180000e+02 1.19740000e+02 5.72360000e+01 5.57800000e+01 3.24840000e+01 1.24660000e+01 3.11430000e+00 1.13950000e+00 5.17900000e-01 2.70890000e-01 9.73650000e-02 4.40760000e-02 1.06200000e-02 3.96560000e-03 1.04640000e-03 4.29080000e-04 2.22990000e-04 1.34280000e-04 6.36910000e-05 3.74100000e-05 1.57760000e-05] M = [ 2.92030000e+05 1.22290000e+05 1.19930000e+05 1.13810000e+05 1.11610000e+05 1.10090000e+05 8.83210000e+04 8.65900000e+04 5.37210000e+04 1.89430000e+04 8.87450000e+03 4.88420000e+03 2.98220000e+03 1.35640000e+03 7.30630000e+02 3.81910000e+02 3.73430000e+02 2.33690000e+02 1.02930000e+02 3.19240000e+01 1.37600000e+01 7.12000000e+00 4.14070000e+00 1.75010000e+00 8.94160000e-01 2.63040000e-01 1.11140000e-01 3.39460000e-02 1.51880000e-02 8.40040000e-03 5.30960000e-03 2.71150000e-03 1.68470000e-03 7.80230000e-04] L = [ 0.00000000e+00 0.00000000e+00 4.15980000e+05 3.91540000e+05 5.94330000e+05 5.83930000e+05 4.88650000e+05 5.53930000e+05 3.49180000e+05 1.25770000e+05 5.89480000e+04 3.23460000e+04 1.96780000e+04 8.88790000e+03 4.76270000e+03 2.47710000e+03 2.42170000e+03 1.51080000e+03 6.62250000e+02 2.04130000e+02 8.76570000e+01 4.52400000e+01 2.62610000e+01 1.10710000e+01 5.64580000e+00 1.65800000e+00 6.99550000e-01 2.13350000e-01 9.53890000e-02 5.27360000e-02 3.33330000e-02 1.70210000e-02 1.05760000e-02 4.89860000e-03] M5 = [ 6.68680000e+04 2.07560000e+04 2.02110000e+04 1.88180000e+04 1.83220000e+04 1.79840000e+04 1.33010000e+04 1.29440000e+04 6.68850000e+03 1.54210000e+03 5.19820000e+02 2.18140000e+02 1.05590000e+02 3.26340000e+01 1.28220000e+01 4.77430000e+00 4.61340000e+00 2.25220000e+00 6.40510000e-01 1.06060000e-01 2.89940000e-02 1.06180000e-02 4.67470000e-03 1.29110000e-03 4.81920000e-04 8.36530000e-05 2.53990000e-05 5.25690000e-06 1.90400000e-06 9.13050000e-07 5.25100000e-07 2.38410000e-07 1.40860000e-07 5.82390000e-08] M4 = [ 4.57510000e+04 1.42570000e+04 1.38840000e+04 1.29310000e+04 1.25910000e+04 1.23600000e+04 9.15070000e+03 8.90580000e+03 4.61280000e+03 1.06940000e+03 3.62040000e+02 1.52480000e+02 7.40530000e+01 2.30260000e+01 9.09680000e+00 3.40860000e+00 3.29440000e+00 1.61610000e+00 4.63910000e-01 7.80080000e-02 2.17700000e-02 8.06480000e-03 3.58870000e-03 1.00880000e-03 3.81120000e-04 6.76360000e-05 2.07050000e-05 4.22470000e-06 1.46750000e-06 6.81200000e-07 3.73310000e-07 1.56910000e-07 8.36170000e-08 3.19580000e-08] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.99920000e+05 1.90720000e+05 1.67080000e+05 1.63770000e+05 9.95810000e+04 3.33710000e+04 1.46020000e+04 7.51370000e+03 4.30670000e+03 1.74750000e+03 8.52180000e+02 3.98010000e+02 3.87610000e+02 2.22560000e+02 8.36490000e+01 2.04140000e+01 7.37460000e+00 3.32520000e+00 1.73020000e+00 6.16610000e-01 2.77800000e-01 6.64850000e-02 2.47380000e-02 6.50110000e-03 2.65870000e-03 1.37980000e-03 8.33790000e-04 3.94860000e-04 2.31880000e-04 9.79250000e-05] L3 = [ 0.00000000e+00 0.00000000e+00 4.15980000e+05 3.91540000e+05 3.94410000e+05 3.93210000e+05 3.21560000e+05 3.14900000e+05 1.90030000e+05 6.26570000e+04 2.71010000e+04 1.38280000e+04 7.87080000e+03 3.15680000e+03 1.52460000e+03 7.04450000e+02 6.85780000e+02 3.90540000e+02 1.44510000e+02 3.43800000e+01 1.21620000e+01 5.38470000e+00 2.75670000e+00 9.55320000e-01 4.20380000e-01 9.61780000e-02 3.47060000e-02 8.83040000e-03 3.58380000e-03 1.86680000e-03 1.13660000e-03 5.56850000e-04 3.38530000e-04 1.51970000e-04] M3 = [ 9.34310000e+04 4.38840000e+04 4.31170000e+04 4.11190000e+04 4.03940000e+04 3.98950000e+04 3.25840000e+04 3.19920000e+04 2.03980000e+04 7.29030000e+03 3.33330000e+03 1.76780000e+03 1.03540000e+03 4.32170000e+02 2.14240000e+02 1.01290000e+02 9.86790000e+01 5.69850000e+01 2.15240000e+01 5.24030000e+00 1.87750000e+00 8.37960000e-01 4.31370000e-01 1.50360000e-01 6.64670000e-02 1.53060000e-02 5.54170000e-03 1.41430000e-03 5.74500000e-04 3.00210000e-04 1.83050000e-04 8.95750000e-05 5.44630000e-05 2.45350000e-05] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.52480000e+04 5.95710000e+04 2.97400000e+04 1.72460000e+04 1.10040000e+04 7.50080000e+03 3.98360000e+03 2.38590000e+03 1.37470000e+03 1.34830000e+03 8.97740000e+02 4.34100000e+02 1.49340000e+02 6.81200000e+01 3.65300000e+01 2.17740000e+01 9.49910000e+00 4.94760000e+00 1.49540000e+00 6.40110000e-01 1.98020000e-01 8.91460000e-02 4.94890000e-02 3.13620000e-02 1.60690000e-02 1.00060000e-02 4.64870000e-03] JK = 7.07592220915 M1 = [ 3.82640000e+04 2.06430000e+04 2.03550000e+04 1.96000000e+04 1.93250000e+04 1.91360000e+04 1.63060000e+04 1.60720000e+04 1.13130000e+04 5.15630000e+03 2.86440000e+03 1.78570000e+03 1.20090000e+03 6.29400000e+02 3.74730000e+02 2.15190000e+02 2.11060000e+02 1.40360000e+02 6.78380000e+01 2.33850000e+01 1.06920000e+01 5.74540000e+00 3.43010000e+00 1.50010000e+00 7.82750000e-01 2.36960000e-01 1.01580000e-01 3.14760000e-02 1.41810000e-02 7.87560000e-03 4.99140000e-03 2.55780000e-03 1.59260000e-03 7.39820000e-04] all other = [ 1.10920000e+04 5.41320000e+03 5.32520000e+03 5.09620000e+03 5.01300000e+03 4.95580000e+03 4.11580000e+03 4.04730000e+03 2.69000000e+03 1.08210000e+03 5.50260000e+02 3.21000000e+02 2.04930000e+02 9.95200000e+01 5.62840000e+01 3.07590000e+01 3.01200000e+01 1.94070000e+01 8.94450000e+00 2.92510000e+00 1.29970000e+00 6.85870000e-01 4.04430000e-01 1.74070000e-01 8.99410000e-02 2.69010000e-02 1.14570000e-02 3.52740000e-03 1.58440000e-03 8.78340000e-04 5.56040000e-04 2.84580000e-04 1.77100000e-04 8.23160000e-05] total = [ 3.03120000e+05 1.27710000e+05 5.41240000e+05 5.10450000e+05 7.10950000e+05 6.98980000e+05 5.81080000e+05 6.44560000e+05 4.05590000e+05 1.45790000e+05 6.83730000e+04 3.75510000e+04 2.28650000e+04 1.03440000e+04 5.54960000e+03 2.88980000e+03 2.04480000e+04 1.33910000e+04 6.20980000e+03 2.02410000e+03 8.92360000e+02 4.67300000e+02 2.73720000e+02 1.16570000e+02 5.97530000e+01 1.76430000e+01 7.45790000e+00 2.27770000e+00 1.01930000e+00 5.64090000e-01 3.56870000e-01 1.82630000e-01 1.13700000e-01 5.28640000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.76230000e+04 1.16270000e+04 5.43560000e+03 1.78520000e+03 7.89640000e+02 4.14250000e+02 2.42910000e+02 1.03570000e+02 5.31230000e+01 1.56950000e+01 6.63570000e+00 2.02690000e+00 9.07110000e-01 5.02070000e-01 3.17670000e-01 1.62610000e-01 1.01260000e-01 4.71030000e-02] [Se.binding] K = 12.6187 L1 = 1.6416 M5 = 0.0639 M4 = 0.0649 M1 = 0.2262 L3 = 1.4385 M3 = 0.1637 M2 = 0.1698 L2 = 1.4813 [Co] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 7.67310000e+00 7.73450000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 2.32900000e+04 8.79960000e+03 4.17690000e+03 1.36550000e+03 5.89850000e+02 2.99790000e+02 1.69730000e+02 7.71580000e+01 7.51830000e+01 6.73500000e+01 3.22220000e+01 8.10700000e+00 2.95860000e+00 6.91240000e-01 2.42480000e-01 1.06840000e-01 5.45710000e-02 1.89070000e-02 8.34510000e-03 1.93170000e-03 7.04270000e-04 1.80710000e-04 7.28890000e-05 3.74900000e-05 2.24300000e-05 1.05210000e-05 6.14620000e-06 2.56860000e-06] M = [ 1.06670000e+05 4.02410000e+04 1.96120000e+04 6.90130000e+03 3.22370000e+03 1.76710000e+03 1.07440000e+03 5.44460000e+02 5.32510000e+02 4.84750000e+02 2.59440000e+02 8.19830000e+01 3.57360000e+01 1.08840000e+01 4.62370000e+00 2.36420000e+00 1.35950000e+00 5.65180000e-01 2.85030000e-01 8.20550000e-02 3.41600000e-02 1.02430000e-02 4.53410000e-03 2.49160000e-03 1.56880000e-03 7.98700000e-04 4.96280000e-04 2.30930000e-04] L = [ 8.50000000e+05 3.20410000e+05 1.53700000e+05 5.25580000e+04 2.40790000e+04 1.30210000e+04 7.84090000e+03 3.93110000e+03 3.84370000e+03 3.49430000e+03 1.85520000e+03 5.78980000e+02 2.50520000e+02 7.56850000e+01 3.20060000e+01 1.63140000e+01 9.37140000e+00 3.88520000e+00 1.95590000e+00 5.61650000e-01 2.33490000e-01 6.99140000e-02 3.09360000e-02 1.69950000e-02 1.07000000e-02 5.44640000e-03 3.38420000e-03 1.57450000e-03] M5 = [ 8.74700000e+03 2.08970000e+03 7.22710000e+02 1.51800000e+02 4.78380000e+01 1.90160000e+01 8.81290000e+00 3.05160000e+00 2.94820000e+00 2.54790000e+00 9.65260000e-01 1.60310000e-01 4.35890000e-02 6.78200000e-03 1.80040000e-03 6.43590000e-04 2.77910000e-04 7.45680000e-05 2.72000000e-05 4.56880000e-06 1.36000000e-06 2.76600000e-07 9.87360000e-08 4.75650000e-08 2.73470000e-08 1.24420000e-08 7.24810000e-09 3.13010000e-09] M4 = [ 5.96280000e+03 1.42900000e+03 4.95390000e+02 1.04440000e+02 3.30220000e+01 1.31640000e+01 6.11610000e+00 2.13790000e+00 2.06580000e+00 1.78650000e+00 6.79760000e-01 1.13960000e-01 3.12470000e-02 4.93350000e-03 1.32550000e-03 4.78480000e-04 2.08650000e-04 5.67970000e-05 2.09790000e-05 3.58100000e-06 1.07140000e-06 2.13150000e-07 7.33580000e-08 3.34800000e-08 1.84240000e-08 7.60370000e-09 4.07360000e-09 1.50490000e-09] L2 = [ 2.46300000e+05 8.69930000e+04 3.91580000e+04 1.19430000e+04 4.94710000e+03 2.44500000e+03 1.35740000e+03 6.03590000e+02 5.87750000e+02 5.25080000e+02 2.47130000e+02 6.06340000e+01 2.18220000e+01 5.02620000e+00 1.74760000e+00 7.66060000e-01 3.89870000e-01 1.34450000e-01 5.91640000e-02 1.36330000e-02 4.95770000e-03 1.26760000e-03 5.12730000e-04 2.63820000e-04 1.57870000e-04 7.40280000e-05 4.32230000e-05 1.81100000e-05] L3 = [ 4.80670000e+05 1.67890000e+05 7.50580000e+04 2.26700000e+04 9.32400000e+03 4.58150000e+03 2.53100000e+03 1.11740000e+03 1.08780000e+03 9.70830000e+02 4.53650000e+02 1.09660000e+02 3.89790000e+01 8.79290000e+00 3.00400000e+00 1.29660000e+00 6.50730000e-01 2.19020000e-01 9.44150000e-02 2.09220000e-02 7.41370000e-03 1.85090000e-03 7.43000000e-04 3.85900000e-04 2.34380000e-04 1.14770000e-04 6.98900000e-05 3.16310000e-05] M3 = [ 4.53160000e+04 1.69630000e+04 7.99920000e+03 2.59050000e+03 1.11110000e+03 5.61430000e+02 3.16270000e+02 1.42720000e+02 1.39030000e+02 1.24420000e+02 5.90880000e+01 1.46420000e+01 5.27760000e+00 1.20810000e+00 4.15330000e-01 1.80170000e-01 9.07380000e-02 3.06840000e-02 1.32650000e-02 2.95060000e-03 1.04760000e-03 2.61880000e-04 1.05390000e-04 5.48140000e-05 3.33180000e-05 1.63210000e-05 9.92130000e-06 4.50210000e-06] L1 = [ 1.23030000e+05 6.55220000e+04 3.94850000e+04 1.79450000e+04 9.80770000e+03 5.99480000e+03 3.95250000e+03 2.21010000e+03 2.16810000e+03 1.99840000e+03 1.15450000e+03 4.08690000e+02 1.89720000e+02 6.18660000e+01 2.72550000e+01 1.42520000e+01 8.33080000e+00 3.53170000e+00 1.80240000e+00 5.27090000e-01 2.21120000e-01 6.67950000e-02 2.96800000e-02 1.63450000e-02 1.03070000e-02 5.25760000e-03 3.27110000e-03 1.52480000e-03] JK = 7.63834519573 M1 = [ 2.33530000e+04 1.09600000e+04 6.21810000e+03 2.68900000e+03 1.44190000e+03 8.73750000e+02 5.73430000e+02 3.19390000e+02 3.13280000e+02 2.88650000e+02 1.66480000e+02 5.89600000e+01 2.74240000e+01 8.97340000e+00 3.96280000e+00 2.07600000e+00 1.21370000e+00 5.15460000e-01 2.63370000e-01 7.71650000e-02 3.24060000e-02 9.79980000e-03 4.35560000e-03 2.39920000e-03 1.51300000e-03 7.71840000e-04 4.80200000e-04 2.23860000e-04] all other = [ 1.52980000e+03 7.07860000e+02 3.99100000e+02 1.71520000e+02 9.22990000e+01 5.58690000e+01 3.66430000e+01 2.03990000e+01 2.00090000e+01 1.84340000e+01 1.06300000e+01 3.76390000e+00 1.75080000e+00 5.72930000e-01 2.53020000e-01 1.32540000e-01 7.75850000e-02 3.29550000e-02 1.68400000e-02 4.93470000e-03 2.07250000e-03 6.26870000e-04 2.78660000e-04 1.53550000e-04 9.68910000e-05 4.95040000e-05 3.08730000e-05 1.45310000e-05] total = [ 9.58200000e+05 3.61360000e+05 1.73710000e+05 5.96310000e+04 2.73950000e+04 1.48440000e+04 8.95190000e+03 4.49600000e+03 3.43420000e+04 3.16180000e+04 1.78870000e+04 5.98220000e+03 2.67880000e+03 8.35520000e+02 3.58320000e+02 1.84040000e+02 1.06190000e+02 4.42440000e+01 2.23280000e+01 6.42700000e+00 2.67370000e+00 8.00840000e-01 3.54360000e-01 1.94750000e-01 1.22680000e-01 6.25230000e-02 3.88960000e-02 1.81440000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.99460000e+04 2.76210000e+04 1.57610000e+04 5.31750000e+03 2.39080000e+03 7.48380000e+02 3.21440000e+02 1.65230000e+02 9.53850000e+01 3.97610000e+01 2.00710000e+01 5.77830000e+00 2.40400000e+00 7.20060000e-01 3.18620000e-01 1.75110000e-01 1.10310000e-01 5.62280000e-02 3.49850000e-02 1.63240000e-02] [Co.binding] K = 7.6807 L1 = 0.923 M5 = 0.0137 M4 = 0.0139 M1 = 0.1097 L3 = 0.7923 M3 = 0.0723 M2 = 0.0742 L2 = 0.8076 [Cm] JL1 = 1.13225243013 JL3 = 2.3012355114 JL2 = 1.40052707474 energy = [ 1.00000000e+00 1.19320000e+00 1.20270000e+00 1.49260000e+00 1.50000000e+00 1.50460000e+00 1.66620000e+00 1.67950000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 4.01070000e+00 4.04280000e+00 4.23250000e+00 4.26640000e+00 4.82360000e+00 4.86220000e+00 5.00000000e+00 5.94160000e+00 5.98910000e+00 6.00000000e+00 6.31900000e+00 6.36950000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.89730000e+01 1.91250000e+01 2.00000000e+01 2.37570000e+01 2.39470000e+01 2.45770000e+01 2.47740000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.29000000e+02 1.30030000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 3.96915272476 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.32920000e+05 2.14120000e+05 2.09710000e+05 1.53490000e+05 1.50170000e+05 1.38920000e+05 8.36750000e+04 8.18400000e+04 8.14290000e+04 7.03160000e+04 6.87000000e+04 3.45450000e+04 1.71750000e+04 4.54190000e+03 2.03410000e+03 1.97870000e+03 1.69310000e+03 9.23380000e+02 8.97530000e+02 8.18110000e+02 7.95160000e+02 3.99100000e+02 1.38640000e+02 6.01670000e+01 3.02000000e+01 1.00900000e+01 4.30540000e+00 1.63370000e+00 1.58510000e+00 9.24120000e-01 3.18280000e-01 7.51840000e-02 2.87330000e-02 1.42450000e-02 8.29350000e-03 3.78720000e-03 2.14300000e-03 8.79610000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.47550000e+05 1.13230000e+05 1.11000000e+05 1.03320000e+05 6.37120000e+04 6.22550000e+04 6.19290000e+04 5.32270000e+04 5.20820000e+04 2.67690000e+04 1.35880000e+04 3.73310000e+03 1.71050000e+03 1.66520000e+03 1.43200000e+03 7.95050000e+02 7.73490000e+02 7.07050000e+02 6.87790000e+02 3.52480000e+02 1.26620000e+02 5.64820000e+01 2.90170000e+01 1.00670000e+01 4.42240000e+00 1.73320000e+00 1.68320000e+00 9.98100000e-01 3.54100000e-01 8.58970000e-02 3.29520000e-02 1.62270000e-02 9.33840000e-03 4.17440000e-03 2.32680000e-03 9.08060000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.01000000e+04 7.44480000e+03 5.33060000e+03 2.73940000e+03 1.79940000e+03 1.77300000e+03 1.63170000e+03 1.17930000e+03 1.16130000e+03 1.10440000e+03 1.08750000e+03 7.46470000e+02 4.14820000e+02 2.58460000e+02 1.73830000e+02 9.13200000e+01 5.47020000e+01 3.01310000e+01 2.95690000e+01 2.10700000e+01 1.06000000e+01 4.03910000e+00 2.06780000e+00 1.24840000e+00 8.36330000e-01 4.54980000e-01 2.89550000e-01 1.33230000e-01] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.32690000e+04 6.09530000e+04 4.55720000e+04 4.49180000e+04 4.47690000e+04 4.05790000e+04 3.99520000e+04 2.57150000e+04 1.62030000e+04 6.51920000e+03 3.70420000e+03 3.63240000e+03 3.25220000e+03 2.10440000e+03 2.06180000e+03 1.92830000e+03 1.88890000e+03 1.14260000e+03 5.22310000e+02 2.78810000e+02 1.64990000e+02 7.08070000e+01 3.63020000e+01 1.68000000e+01 1.63980000e+01 1.06220000e+01 4.44230000e+00 1.33000000e+00 5.83700000e-01 3.16380000e-01 1.95770000e-01 9.58260000e-02 5.70960000e-02 2.41970000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.60250000e+04 1.59820000e+04 1.51540000e+04 1.50140000e+04 1.13800000e+04 8.15640000e+03 3.93540000e+03 2.45110000e+03 2.41080000e+03 2.19520000e+03 1.51180000e+03 1.48550000e+03 1.40240000e+03 1.37770000e+03 8.90930000e+02 4.48900000e+02 2.58140000e+02 1.62320000e+02 7.66490000e+01 4.23240000e+01 2.13140000e+01 2.08590000e+01 1.41630000e+01 6.49870000e+00 2.20020000e+00 1.04440000e+00 5.97890000e-01 3.85280000e-01 1.99640000e-01 1.23770000e-01 5.61880000e-02] total = [ 3.08750000e+06 2.26140000e+06 2.37050000e+06 1.56100000e+06 1.56620000e+06 1.55620000e+06 1.26380000e+06 1.26630000e+06 8.78240000e+05 3.59930000e+05 1.85850000e+05 1.84690000e+05 4.14200000e+05 3.76970000e+05 5.17090000e+05 3.86380000e+05 4.41850000e+05 4.13060000e+05 2.65630000e+05 2.76320000e+05 2.75080000e+05 2.41890000e+05 2.47270000e+05 1.41050000e+05 8.07030000e+04 2.87630000e+04 1.57020000e+04 3.61340000e+04 3.22140000e+04 2.01110000e+04 2.81660000e+04 2.63360000e+04 2.98190000e+04 1.83530000e+04 8.74870000e+03 4.88410000e+03 3.01880000e+03 1.40360000e+03 7.72390000e+02 3.90310000e+02 1.54920000e+03 1.08400000e+03 5.23260000e+02 1.89220000e+02 9.42040000e+01 5.60130000e+01 3.71990000e+01 2.00780000e+01 1.27440000e+01 5.86880000e+00] JM2 = 1.04024394835 JM3 = 1.14356333144 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1167.1 823.29 401.88 146.9 73.599 43.969 29.308 15.899 10.123 4.6778] JM1 = 1.02224151474 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.32920000e+05 2.14120000e+05 3.57260000e+05 2.66720000e+05 3.24440000e+05 3.03190000e+05 1.92960000e+05 2.05040000e+05 2.04110000e+05 1.79280000e+05 1.85850000e+05 1.05850000e+05 6.04540000e+04 2.14690000e+04 1.16990000e+04 1.14600000e+04 1.02040000e+04 6.51400000e+03 6.37970000e+03 5.96030000e+03 5.83710000e+03 3.53160000e+03 1.65130000e+03 9.12060000e+02 5.60350000e+02 2.58930000e+02 1.42060000e+02 7.16120000e+01 7.00940000e+01 4.77780000e+01 2.22130000e+01 7.73040000e+00 3.75760000e+00 2.19320000e+00 1.43500000e+00 7.58420000e-01 4.74880000e-01 2.15400000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.07510000e+04 1.85130000e+04 1.13530000e+04 1.95890000e+04 1.83210000e+04 2.19680000e+04 1.35970000e+04 6.52090000e+03 3.65200000e+03 2.26110000e+03 1.05300000e+03 5.79850000e+02 2.93150000e+02 2.86960000e+02 1.95820000e+02 9.11950000e+01 3.18070000e+01 1.54920000e+01 9.05880000e+00 5.93710000e+00 3.14610000e+00 1.97380000e+00 8.97580000e-01] JM4 = 1.37170066584 JM5 = 2.24267691808 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.47740000e+03 7.96680000e+03 7.86280000e+03 4.88680000e+03 2.33410000e+03 1.29290000e+03 7.89700000e+02 3.57500000e+02 1.91830000e+02 9.38760000e+01 9.17980000e+01 6.14700000e+01 2.75380000e+01 9.08870000e+00 4.25860000e+00 2.41970000e+00 1.55190000e+00 8.00150000e-01 4.94770000e-01 2.23840000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.07510000e+04 1.85130000e+04 1.13530000e+04 1.11110000e+04 1.03540000e+04 1.01300000e+04 5.85440000e+03 2.51760000e+03 1.28930000e+03 7.39930000e+02 3.04260000e+02 1.51610000e+02 6.82530000e+01 6.65680000e+01 4.25510000e+01 1.73980000e+01 5.08900000e+00 2.20830000e+00 1.18950000e+00 7.33300000e-01 3.57630000e-01 2.12720000e-01 9.03450000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.97550000e+03 2.85570000e+03 1.66920000e+03 1.06980000e+03 7.31500000e+02 3.91270000e+02 2.36410000e+02 1.31020000e+02 1.28590000e+02 9.17980000e+01 4.62580000e+01 1.76300000e+01 9.02480000e+00 5.44960000e+00 3.65190000e+00 1.98830000e+00 1.26630000e+00 5.83390000e-01] all other = [ 3.08750000e+06 2.26140000e+06 2.37050000e+06 1.56100000e+06 1.56620000e+06 1.55620000e+06 1.26380000e+06 1.26630000e+06 8.78240000e+05 3.59930000e+05 1.85850000e+05 1.84690000e+05 1.81290000e+05 1.62850000e+05 1.59830000e+05 1.19660000e+05 1.17410000e+05 1.09870000e+05 7.26710000e+04 7.12850000e+04 7.09740000e+04 6.26180000e+04 6.14200000e+04 3.51980000e+04 2.02490000e+04 7.29440000e+03 4.00310000e+03 3.92260000e+03 3.49710000e+03 2.24370000e+03 2.19790000e+03 2.05500000e+03 2.01300000e+03 1.22450000e+03 5.76550000e+02 3.20020000e+02 1.97330000e+02 9.16770000e+01 5.04870000e+01 2.55470000e+01 2.50090000e+01 1.70830000e+01 7.97090000e+00 2.78430000e+00 1.35600000e+00 7.92410000e-01 5.18860000e-01 2.74400000e-01 1.71860000e-01 7.79630000e-02] [Cm.binding] K = 129.125 L1 = 24.602 M5 = 4.0147 M4 = 4.2367 M1 = 6.3253 L3 = 18.9921 M3 = 4.8284 M2 = 5.9475 L2 = 23.7804 [Cl] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.80210000e+00 2.82450000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 2.09030000e+03 6.44650000e+02 2.66780000e+02 9.09430000e+01 8.86150000e+01 7.27750000e+01 2.79040000e+01 1.29830000e+01 6.85870000e+00 2.45470000e+00 1.08880000e+00 2.40540000e-01 8.05810000e-02 1.68550000e-02 5.50410000e-03 2.30800000e-03 1.13610000e-03 3.73620000e-04 1.59020000e-04 3.47440000e-05 1.22270000e-05 3.00770000e-06 1.18290000e-06 5.98960000e-07 3.53700000e-07 1.63400000e-07 9.44120000e-08 3.89970000e-08] M = [ 1.19620000e+04 4.37850000e+03 2.09430000e+03 8.65250000e+02 8.47180000e+02 7.21950000e+02 3.33440000e+02 1.81200000e+02 1.09300000e+02 4.86520000e+01 2.57120000e+01 7.87820000e+00 3.34660000e+00 9.78190000e-01 4.02760000e-01 2.00940000e-01 1.13410000e-01 4.57490000e-02 2.25620000e-02 6.25440000e-03 2.54170000e-03 7.40120000e-04 3.22230000e-04 1.75360000e-04 1.09800000e-04 5.56610000e-05 3.46100000e-05 1.62400000e-05] L = [ 1.54580000e+05 5.29830000e+04 2.43640000e+04 9.65780000e+03 9.44690000e+03 7.99300000e+03 3.57440000e+03 1.89950000e+03 1.12760000e+03 4.90880000e+02 2.55600000e+02 7.67260000e+01 3.22110000e+01 9.29640000e+00 3.80200000e+00 1.88890000e+00 1.06310000e+00 4.27250000e-01 2.10230000e-01 5.81280000e-02 2.35890000e-02 6.86020000e-03 2.98510000e-03 1.62400000e-03 1.01660000e-03 5.15120000e-04 3.20090000e-04 1.49930000e-04] L2 = [ 3.48600000e+04 1.02830000e+04 4.15980000e+03 1.38660000e+03 1.35040000e+03 1.10480000e+03 4.16240000e+02 1.91560000e+02 1.00480000e+02 3.56310000e+01 1.57090000e+01 3.44080000e+00 1.14730000e+00 2.38730000e-01 7.77290000e-02 3.25300000e-02 1.59920000e-02 5.24750000e-03 2.23870000e-03 4.89080000e-04 1.72180000e-04 4.23990000e-05 1.66860000e-05 8.44890000e-06 5.00860000e-06 2.31580000e-06 1.34580000e-06 5.58730000e-07] L3 = [ 6.82940000e+04 2.00680000e+04 8.09440000e+03 2.68800000e+03 2.61760000e+03 2.13980000e+03 8.03230000e+02 3.68470000e+02 1.92720000e+02 6.79910000e+01 2.98410000e+01 6.47170000e+00 2.13890000e+00 4.38370000e-01 1.40840000e-01 5.82460000e-02 2.83220000e-02 9.12130000e-03 3.81170000e-03 8.05970000e-04 2.77900000e-04 6.72930000e-05 2.66820000e-05 1.37870000e-05 8.33490000e-06 4.07810000e-06 2.47930000e-06 1.13150000e-06] M3 = [ 4.09260000e+03 1.25750000e+03 5.18790000e+02 1.76180000e+02 1.71650000e+02 1.40860000e+02 5.38020000e+01 2.49510000e+01 1.31130000e+01 4.66880000e+00 2.06140000e+00 4.50850000e-01 1.49710000e-01 3.08420000e-02 9.93540000e-03 4.11530000e-03 2.00380000e-03 6.46150000e-04 2.70570000e-04 5.72950000e-05 1.97740000e-05 4.79390000e-06 1.90130000e-06 9.81690000e-07 5.95720000e-07 2.92020000e-07 1.78510000e-07 8.24050000e-08] L1 = [ 5.14300000e+04 2.26310000e+04 1.21090000e+04 5.58320000e+03 5.47890000e+03 4.74840000e+03 2.35500000e+03 1.33950000e+03 8.34410000e+02 3.87260000e+02 2.10050000e+02 6.68140000e+01 2.89250000e+01 8.61930000e+00 3.58340000e+00 1.79810000e+00 1.01880000e+00 4.12880000e-01 2.04170000e-01 5.68330000e-02 2.31390000e-02 6.75050000e-03 2.94170000e-03 1.60170000e-03 1.00320000e-03 5.08730000e-04 3.16270000e-04 1.48240000e-04] JK = 9.13323196807 M1 = [ 5.77880000e+03 2.47630000e+03 1.30880000e+03 5.98130000e+02 5.86910000e+02 5.08310000e+02 2.51730000e+02 1.43270000e+02 8.93240000e+01 4.15280000e+01 2.25620000e+01 7.18680000e+00 3.11630000e+00 9.30500000e-01 3.87320000e-01 1.94510000e-01 1.10270000e-01 4.47290000e-02 2.21330000e-02 6.16240000e-03 2.50970000e-03 7.32320000e-04 3.19140000e-04 1.73780000e-04 1.08850000e-04 5.52060000e-05 3.43370000e-05 1.61190000e-05] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 1.66550000e+05 5.73610000e+04 2.64580000e+04 1.05230000e+04 9.61090000e+04 8.65790000e+04 4.13290000e+04 2.28810000e+04 1.39630000e+04 6.26930000e+03 3.32060000e+03 1.01690000e+03 4.30540000e+02 1.25150000e+02 5.13350000e+01 2.55400000e+01 1.43840000e+01 5.78400000e+00 2.84630000e+00 7.86440000e-01 3.19010000e-01 9.27190000e-02 4.03340000e-02 2.19400000e-02 1.37350000e-02 6.96300000e-03 4.33090000e-03 2.03040000e-03] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.58150000e+04 7.78640000e+04 3.74210000e+04 2.08000000e+04 1.27260000e+04 5.72970000e+03 3.03930000e+03 9.32330000e+02 3.94980000e+02 1.14880000e+02 4.71300000e+01 2.34500000e+01 1.32070000e+01 5.31100000e+00 2.61350000e+00 7.22060000e-01 2.92880000e-01 8.51190000e-02 3.70260000e-02 2.01410000e-02 1.26090000e-02 6.39230000e-03 3.97620000e-03 1.86420000e-03] [Cl.binding] K = 2.8049 L1 = 0.2681 M1 = 0.0248 L3 = 0.2077 M3 = 0.0123 M2 = 0.0124 L2 = 0.2095 [Ca] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 4.01100000e+00 4.04320000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 6.89460000e+03 2.28720000e+03 9.94380000e+02 2.87380000e+02 1.14290000e+02 1.13270000e+02 1.10360000e+02 5.47720000e+01 2.96450000e+01 1.09900000e+01 4.99490000e+00 1.14990000e+00 3.96690000e-01 8.60700000e-02 2.87340000e-02 1.22280000e-02 6.08470000e-03 2.03160000e-03 8.74450000e-04 1.94480000e-04 6.92190000e-05 1.72590000e-05 6.84910000e-06 3.48330000e-06 2.06660000e-06 9.59790000e-07 5.56710000e-07 2.31050000e-07] M = [ 3.10080000e+04 1.14430000e+04 5.48430000e+03 1.87820000e+03 8.61140000e+02 8.54680000e+02 8.36240000e+02 4.66240000e+02 2.80900000e+02 1.24960000e+02 6.60640000e+01 2.03550000e+01 8.70100000e+00 2.56990000e+00 1.06750000e+00 5.36300000e-01 3.04410000e-01 1.23880000e-01 6.15010000e-02 1.72440000e-02 7.05880000e-03 2.07370000e-03 9.07290000e-04 4.95160000e-04 3.10540000e-04 1.57590000e-04 9.79400000e-05 4.58060000e-05] L = [ 2.91840000e+05 1.02030000e+05 4.73550000e+04 1.56830000e+04 7.06740000e+03 7.01330000e+03 6.85900000e+03 3.78220000e+03 2.25850000e+03 9.92230000e+02 5.20410000e+02 1.58530000e+02 6.73340000e+01 1.97690000e+01 8.18160000e+00 4.10050000e+00 2.32370000e+00 9.43560000e-01 4.67790000e-01 1.30900000e-01 5.35520000e-02 1.57190000e-02 6.87500000e-03 3.75140000e-03 2.35240000e-03 1.19370000e-03 7.41660000e-04 3.46690000e-04] L2 = [ 7.36250000e+04 2.28920000e+04 9.58200000e+03 2.66170000e+03 1.03670000e+03 1.02720000e+03 1.00030000e+03 4.89550000e+02 2.61970000e+02 9.56320000e+01 4.30680000e+01 9.79620000e+00 3.35260000e+00 7.21850000e-01 2.39960000e-01 1.01830000e-01 5.05730000e-02 1.68420000e-02 7.23420000e-03 1.60410000e-03 5.72640000e-04 1.42710000e-04 5.66460000e-05 2.88800000e-05 1.71220000e-05 7.95140000e-06 4.63770000e-06 1.93810000e-06] L3 = [ 1.43830000e+05 4.44880000e+04 1.85510000e+04 5.12330000e+03 1.98650000e+03 1.96830000e+03 1.91650000e+03 9.34510000e+02 4.98380000e+02 1.80840000e+02 8.10110000e+01 1.82200000e+01 6.17530000e+00 1.30730000e+00 4.28280000e-01 1.79410000e-01 8.80490000e-02 2.87230000e-02 1.21250000e-02 2.60310000e-03 9.04540000e-04 2.21290000e-04 8.80280000e-05 4.54350000e-05 2.75570000e-05 1.35110000e-05 8.17860000e-06 3.72030000e-06] M3 = [ 1.34870000e+04 4.45140000e+03 1.92800000e+03 5.53970000e+02 2.19290000e+02 2.17320000e+02 2.11720000e+02 1.04680000e+02 5.64600000e+01 2.08030000e+01 9.40500000e+00 2.14210000e+00 7.29930000e-01 1.55720000e-01 5.12210000e-02 2.15120000e-02 1.05760000e-02 3.45840000e-03 1.46160000e-03 3.14430000e-04 1.09490000e-04 2.68060000e-05 1.06660000e-05 5.52110000e-06 3.34870000e-06 1.63940000e-06 9.98950000e-07 4.55430000e-07] L1 = [ 7.43920000e+04 3.46510000e+04 1.92220000e+04 7.89770000e+03 4.04420000e+03 4.01780000e+03 3.94220000e+03 2.35810000e+03 1.49810000e+03 7.15760000e+02 3.96330000e+02 1.30510000e+02 5.78060000e+01 1.77400000e+01 7.51340000e+00 3.81930000e+00 2.18500000e+00 8.97990000e-01 4.48430000e-01 1.26690000e-01 5.20750000e-02 1.53550000e-02 6.73040000e-03 3.67710000e-03 2.30770000e-03 1.17220000e-03 7.28850000e-04 3.41030000e-04] JK = 8.56951364476 M1 = [ 1.06260000e+04 4.70410000e+03 2.56190000e+03 1.03690000e+03 5.27560000e+02 5.24090000e+02 5.14160000e+02 3.06790000e+02 1.94800000e+02 9.31680000e+01 5.16640000e+01 1.70630000e+01 7.57440000e+00 2.32810000e+00 9.87580000e-01 5.02560000e-01 2.87750000e-01 1.18390000e-01 5.91650000e-02 1.67350000e-02 6.88010000e-03 2.02960000e-03 8.89770000e-04 4.86160000e-04 3.05120000e-04 1.54990000e-04 9.63840000e-05 4.51190000e-05] all other = [ 8.13700000e+02 3.57980000e+02 1.94440000e+02 7.87960000e+01 4.00620000e+01 3.97980000e+01 3.90440000e+01 2.32890000e+01 1.47850000e+01 7.07120000e+00 3.92120000e+00 1.29500000e+00 5.74820000e-01 1.76910000e-01 7.50570000e-02 3.81990000e-02 2.18730000e-02 8.99990000e-03 4.49790000e-03 1.27230000e-03 5.23100000e-04 1.54330000e-04 6.76880000e-05 3.70090000e-05 2.32470000e-05 1.18450000e-05 7.39820000e-06 3.52420000e-06] total = [ 3.23670000e+05 1.13830000e+05 5.30340000e+04 1.76400000e+04 7.96860000e+03 7.90780000e+03 6.77660000e+04 3.99860000e+04 2.47300000e+04 1.14090000e+04 6.15000000e+03 1.93710000e+03 8.34880000e+02 2.48250000e+02 1.03290000e+02 5.19090000e+01 2.94620000e+01 1.19820000e+01 5.94420000e+00 1.66390000e+00 6.80340000e-01 1.99610000e-01 8.72860000e-02 4.76290000e-02 2.98720000e-02 1.51660000e-02 9.43080000e-03 4.41470000e-03] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.00320000e+04 3.57140000e+04 2.21760000e+04 1.02850000e+04 5.55960000e+03 1.75690000e+03 7.58270000e+02 2.25740000e+02 9.39640000e+01 4.72340000e+01 2.68120000e+01 1.09060000e+01 5.41040000e+00 1.51450000e+00 6.19210000e-01 1.81660000e-01 7.94360000e-02 4.33460000e-02 2.71860000e-02 1.38030000e-02 8.58380000e-03 4.01870000e-03] [Ca.binding] K = 4.015 L1 = 0.4341 M1 = 0.0532 L3 = 0.3552 M3 = 0.0336 M2 = 0.034 L2 = 0.3591 [Cf] JL1 = 1.13161126576 JL3 = 2.29138984853 JL2 = 1.40585571013 energy = [ 1.00000000e+00 1.27160000e+00 1.28180000e+00 1.50000000e+00 1.60940000e+00 1.62230000e+00 1.79160000e+00 1.80590000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 4.24290000e+00 4.27690000e+00 4.48710000e+00 4.52310000e+00 5.00000000e+00 5.09810000e+00 5.13890000e+00 6.00000000e+00 6.34700000e+00 6.39780000e+00 6.74110000e+00 6.79500000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.99070000e+01 2.00000000e+01 2.00660000e+01 2.52230000e+01 2.54250000e+01 2.60810000e+01 2.62900000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.35820000e+02 1.36910000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 3.87810600405 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.16880000e+05 1.99050000e+05 1.94920000e+05 1.51260000e+05 1.43550000e+05 1.40450000e+05 8.97430000e+04 7.58280000e+04 7.41580000e+04 6.38540000e+04 6.23670000e+04 3.80290000e+04 1.90300000e+04 5.08250000e+03 1.93780000e+03 1.90680000e+03 1.88500000e+03 8.43790000e+02 8.20160000e+02 7.48930000e+02 7.27920000e+02 4.53040000e+02 1.58230000e+02 6.89520000e+01 3.47210000e+01 1.16570000e+01 4.99110000e+00 1.56500000e+00 1.51870000e+00 1.07740000e+00 3.72290000e-01 8.82530000e-02 3.37800000e-02 1.67580000e-02 9.75810000e-03 4.45460000e-03 2.54330000e-03 1.03180000e-03] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.36120000e+05 1.11510000e+05 1.06340000e+05 1.04250000e+05 6.83260000e+04 5.80740000e+04 5.67420000e+04 4.87180000e+04 4.76660000e+04 2.95700000e+04 1.51220000e+04 4.19790000e+03 1.64540000e+03 1.61980000e+03 1.60190000e+03 7.35270000e+02 7.15350000e+02 6.55090000e+02 6.37250000e+02 4.02600000e+02 1.45520000e+02 6.52120000e+01 3.36250000e+01 1.17310000e+01 5.17450000e+00 1.68760000e+00 1.63920000e+00 1.17570000e+00 4.18830000e-01 1.02110000e-01 3.92950000e-02 1.93920000e-02 1.11780000e-02 5.00810000e-03 2.79610000e-03 1.09530000e-03] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.20340000e+03 7.42970000e+03 5.35250000e+03 2.80680000e+03 1.69990000e+03 1.68530000e+03 1.67500000e+03 1.09090000e+03 1.07420000e+03 1.02270000e+03 1.00710000e+03 7.78400000e+02 4.34940000e+02 2.72160000e+02 1.83600000e+02 9.69460000e+01 5.82900000e+01 2.85690000e+01 2.80380000e+01 2.26060000e+01 1.14290000e+01 4.38620000e+00 2.25660000e+00 1.36720000e+00 9.18170000e-01 5.01010000e-01 3.19280000e-01 1.47000000e-01] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.99580000e+04 4.65660000e+04 4.21870000e+04 4.15600000e+04 3.75520000e+04 3.69640000e+04 2.69670000e+04 1.70840000e+04 6.96040000e+03 3.53220000e+03 3.49190000e+03 3.46360000e+03 1.94680000e+03 1.90730000e+03 1.78600000e+03 1.74950000e+03 1.23830000e+03 5.69230000e+02 3.05150000e+02 1.81200000e+02 7.81570000e+01 4.02210000e+01 1.59920000e+01 1.56110000e+01 1.18420000e+01 4.97120000e+00 1.49470000e+00 6.57270000e-01 3.56560000e-01 2.20690000e-01 1.07980000e-01 6.42900000e-02 2.72060000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.45580000e+04 1.38010000e+04 1.36780000e+04 1.14600000e+04 8.28950000e+03 4.12290000e+03 2.35640000e+03 2.33390000e+03 2.31800000e+03 1.42330000e+03 1.39870000e+03 1.32260000e+03 1.29950000e+03 9.65420000e+02 4.92200000e+02 2.85460000e+02 1.80640000e+02 8.61190000e+01 4.78850000e+01 2.11600000e+01 2.07120000e+01 1.62100000e+01 7.49240000e+00 2.55950000e+00 1.22140000e+00 7.01670000e-01 4.53270000e-01 2.35620000e-01 1.46350000e-01 6.65950000e-02] total = [ 3.28490000e+06 2.18700000e+06 2.29230000e+06 1.68830000e+06 1.46380000e+06 1.45780000e+06 1.18700000e+06 1.18840000e+06 9.58040000e+05 3.92850000e+05 2.02740000e+05 1.76620000e+05 3.90230000e+05 3.53900000e+05 4.83010000e+05 3.82610000e+05 3.64320000e+05 4.16930000e+05 2.82070000e+05 2.43680000e+05 2.53320000e+05 2.22320000e+05 2.27160000e+05 1.51870000e+05 8.69970000e+04 3.11530000e+04 1.50520000e+04 3.44900000e+04 3.43680000e+04 1.85460000e+04 2.60730000e+04 2.44280000e+04 2.76430000e+04 1.97590000e+04 9.49670000e+03 5.31820000e+03 3.29510000e+03 1.53820000e+03 8.48890000e+02 3.75080000e+02 1.45460000e+03 1.16410000e+03 5.63040000e+02 2.04980000e+02 1.02540000e+02 6.11760000e+01 4.07220000e+01 2.20410000e+01 1.40070000e+01 6.45320000e+00] JM2 = 1.03956007879 JM3 = 1.14440601669 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1087.4 876.21 428.5 157.84 79.522 47.69 31.873 17.345 11.059 5.1129] JM1 = 1.02177042101 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.16880000e+05 1.99050000e+05 3.31050000e+05 2.62760000e+05 2.49890000e+05 3.04660000e+05 2.04640000e+05 1.76090000e+05 1.87020000e+05 1.63920000e+05 1.69880000e+05 1.13460000e+05 6.48780000e+04 2.31700000e+04 1.11720000e+04 1.10380000e+04 1.09440000e+04 6.04010000e+03 5.91580000e+03 5.53530000e+03 5.42120000e+03 3.83780000e+03 1.80010000e+03 9.96930000e+02 6.13780000e+02 2.84610000e+02 1.56560000e+02 6.89740000e+01 6.75200000e+01 5.29110000e+01 2.46840000e+01 8.63070000e+00 4.20840000e+00 2.46160000e+00 1.61310000e+00 8.54070000e-01 5.35260000e-01 2.42930000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.96180000e+04 1.96230000e+04 1.03950000e+04 1.80900000e+04 1.69570000e+04 2.03260000e+04 1.45750000e+04 7.06080000e+03 3.96760000e+03 2.46280000e+03 1.15170000e+03 6.36110000e+02 2.81230000e+02 2.75320000e+02 2.15900000e+02 1.00900000e+02 3.53620000e+01 1.72790000e+01 1.01270000e+01 6.64760000e+00 3.52950000e+00 2.21640000e+00 1.00860000e+00] JM4 = 1.36482057078 JM5 = 2.20943268033 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.91730000e+03 7.46670000e+03 7.37140000e+03 5.28700000e+03 2.57810000e+03 1.43910000e+03 8.84020000e+02 4.03400000e+02 2.17820000e+02 9.29850000e+01 9.09450000e+01 7.05400000e+01 3.18080000e+01 1.05830000e+01 4.98310000e+00 2.84050000e+00 1.82600000e+00 9.44260000e-01 5.84970000e-01 2.65310000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.96180000e+04 1.96230000e+04 1.03950000e+04 1.01730000e+04 9.49010000e+03 9.28460000e+03 6.38040000e+03 2.75120000e+03 1.41340000e+03 8.13260000e+02 3.35610000e+02 1.67750000e+02 6.44940000e+01 6.29080000e+01 4.73110000e+01 1.94030000e+01 5.69510000e+00 2.47510000e+00 1.33410000e+00 8.22530000e-01 4.00950000e-01 2.38300000e-01 1.01040000e-01] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.67010000e+03 2.90750000e+03 1.73150000e+03 1.11510000e+03 7.65520000e+02 4.12700000e+02 2.50540000e+02 1.23750000e+02 1.21460000e+02 9.80500000e+01 4.96910000e+01 1.90840000e+01 9.82050000e+00 5.95210000e+00 3.99910000e+00 2.18430000e+00 1.39310000e+00 6.42250000e-01] all other = [ 3.28490000e+06 2.18700000e+06 2.29230000e+06 1.68830000e+06 1.46380000e+06 1.45780000e+06 1.18700000e+06 1.18840000e+06 9.58040000e+05 3.92850000e+05 2.02740000e+05 1.76620000e+05 1.73350000e+05 1.54850000e+05 1.51960000e+05 1.19850000e+05 1.14430000e+05 1.12280000e+05 7.74380000e+04 6.75960000e+04 6.63020000e+04 5.84000000e+04 5.72790000e+04 3.84200000e+04 2.21190000e+04 7.98300000e+03 3.87990000e+03 3.83370000e+03 3.80130000e+03 2.11020000e+03 2.06710000e+03 1.93540000e+03 1.89590000e+03 1.34660000e+03 6.35780000e+02 3.53690000e+02 2.18520000e+02 1.01830000e+02 5.62210000e+01 2.48760000e+01 2.43550000e+01 1.91120000e+01 8.94720000e+00 3.13980000e+00 1.53380000e+00 8.98010000e-01 5.89060000e-01 3.12070000e-01 1.95630000e-01 8.87850000e-02] [Cf.binding] K = 135.9536 L1 = 26.1072 M5 = 4.2472 M4 = 4.4916 M1 = 6.7478 L3 = 19.9268 M3 = 5.1032 M2 = 6.3533 L2 = 25.2482 [Ce] JL1 = 1.13079629037 JL3 = 2.80463083923 JL2 = 1.33682207422 energy = [ 1.00000000e+00 1.16930000e+00 1.17860000e+00 1.25890000e+00 1.26900000e+00 1.40890000e+00 1.42020000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 5.70690000e+00 5.75260000e+00 6.00000000e+00 6.15940000e+00 6.20870000e+00 6.50760000e+00 6.55970000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 4.04200000e+01 4.07440000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.68880915438 M5 = [ 1.09700000e+06 7.53670000e+05 7.39280000e+05 6.28920000e+05 6.16560000e+05 4.77210000e+05 4.67730000e+05 4.06330000e+05 1.83440000e+05 5.45400000e+04 2.18130000e+04 1.04000000e+04 6.62350000e+03 6.44400000e+03 5.57110000e+03 5.08650000e+03 4.94710000e+03 4.19690000e+03 4.08110000e+03 2.01490000e+03 8.92340000e+02 1.92250000e+02 6.21730000e+01 1.21070000e+01 3.69890000e+00 3.54190000e+00 3.42650000e+00 1.46000000e+00 6.80910000e-01 2.04300000e-01 8.07310000e-02 1.54070000e-02 4.94970000e-03 1.08810000e-03 4.00380000e-04 1.95430000e-04 1.13690000e-04 5.22460000e-05 2.95960000e-05 1.27030000e-05] M4 = [ 7.51750000e+05 5.17090000e+05 5.07390000e+05 4.32900000e+05 4.24540000e+05 3.29450000e+05 3.22960000e+05 2.81470000e+05 1.28490000e+05 3.86630000e+04 1.56120000e+04 7.49770000e+03 4.79850000e+03 4.66960000e+03 4.04270000e+03 3.69460000e+03 3.59450000e+03 3.05520000e+03 2.97180000e+03 1.47840000e+03 6.60860000e+02 1.45090000e+02 4.76560000e+01 9.51690000e+00 2.96760000e+00 2.84380000e+00 2.75290000e+00 1.19180000e+00 5.64240000e-01 1.73500000e-01 6.98790000e-02 1.37530000e-02 4.48250000e-03 9.84700000e-04 3.59270000e-04 1.70600000e-04 9.53650000e-05 4.07800000e-05 2.25450000e-05 8.41530000e-06] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.64800000e+04 5.29500000e+04 3.55770000e+04 1.90040000e+04 1.15990000e+04 7.74530000e+03 6.05050000e+03 5.96000000e+03 5.50360000e+03 5.23640000e+03 5.15750000e+03 4.71320000e+03 4.64120000e+03 3.14810000e+03 2.00800000e+03 8.56610000e+02 4.54860000e+02 1.78930000e+02 8.96870000e+01 8.74260000e+01 8.57360000e+01 5.16540000e+01 3.25840000e+01 1.54880000e+01 8.59210000e+00 2.88620000e+00 1.32140000e+00 4.43850000e-01 2.09620000e-01 1.19830000e-01 7.73600000e-02 4.03710000e-02 2.52610000e-02 1.16320000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 2.30020000e+05 2.14220000e+05 2.12550000e+05 1.85270000e+05 1.83080000e+05 1.68460000e+05 1.07120000e+05 4.99420000e+04 2.72080000e+04 1.64130000e+04 1.20020000e+04 1.17740000e+04 1.06370000e+04 9.97980000e+03 9.78710000e+03 8.71740000e+03 8.54680000e+03 5.17590000e+03 2.87820000e+03 9.33950000e+02 4.02400000e+02 1.16330000e+02 4.66370000e+01 4.50930000e+01 4.39490000e+01 2.25870000e+01 1.23830000e+01 4.74090000e+00 2.23770000e+00 5.72200000e-01 2.20490000e-01 6.02760000e-02 2.53390000e-02 1.34300000e-02 8.24540000e-03 4.04890000e-03 2.44370000e-03 1.07830000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.04700000e+04 8.22580000e+04 8.15500000e+04 7.62890000e+04 5.12660000e+04 2.56780000e+04 1.45190000e+04 8.99870000e+03 6.68590000e+03 6.56470000e+03 5.95660000e+03 5.60470000e+03 5.50150000e+03 4.92780000e+03 4.83600000e+03 2.99370000e+03 1.70530000e+03 5.78670000e+02 2.57710000e+02 7.82720000e+01 3.25910000e+01 3.15570000e+01 3.07900000e+01 1.62850000e+01 9.17130000e+00 3.67210000e+00 1.79790000e+00 4.92590000e-01 1.99190000e-01 5.78000000e-02 2.50450000e-02 1.35250000e-02 8.35500000e-03 4.09360000e-03 2.45440000e-03 1.06360000e-03] total = [ 2.25730000e+06 1.57440000e+06 1.77570000e+06 1.53860000e+06 1.60250000e+06 1.28330000e+06 1.31750000e+06 1.16910000e+06 6.04840000e+05 2.27730000e+05 1.10520000e+05 6.25040000e+04 4.43980000e+04 1.24520000e+05 1.13080000e+05 1.05100000e+05 1.40500000e+05 1.25080000e+05 1.41440000e+05 8.59470000e+04 4.77120000e+04 1.61330000e+04 7.34960000e+03 2.38480000e+03 1.06210000e+03 1.03120000e+03 5.86630000e+03 3.42180000e+03 2.10480000e+03 9.58310000e+02 5.15250000e+02 1.64450000e+02 7.30370000e+01 2.37320000e+01 1.10260000e+01 6.25140000e+00 4.01740000e+00 2.08890000e+00 1.30620000e+00 6.02560000e-01] JM2 = 1.04153126219 JM3 = 1.12785823171 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.85810000e+03 2.85740000e+03 1.76900000e+03 8.10980000e+02 4.37680000e+02 1.40280000e+02 6.24070000e+01 2.03070000e+01 9.44290000e+00 5.35750000e+00 3.44510000e+00 1.79340000e+00 1.12250000e+00 5.18580000e-01] JM1 = 1.02665004286 M = [ 1.84870000e+06 1.27080000e+06 1.47670000e+06 1.27600000e+06 1.34410000e+06 1.07420000e+06 1.11180000e+06 9.85490000e+05 5.05890000e+05 1.87830000e+05 9.07510000e+04 5.10540000e+04 3.61600000e+04 3.54130000e+04 3.17110000e+04 2.96020000e+04 2.89880000e+04 2.56100000e+04 2.50770000e+04 1.48110000e+04 8.14480000e+03 2.70660000e+03 1.22480000e+03 3.95150000e+02 1.75580000e+02 1.70460000e+02 1.66650000e+02 9.31780000e+01 5.53840000e+01 2.42790000e+01 1.27780000e+01 3.98020000e+00 1.75050000e+00 5.64000000e-01 2.60760000e-01 1.47150000e-01 9.41700000e-02 4.86070000e-02 3.02110000e-02 1.37950000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.10310000e+04 7.41050000e+04 6.86960000e+04 1.04850000e+05 9.35560000e+04 1.10560000e+05 6.76450000e+04 3.76110000e+04 1.27580000e+04 5.81670000e+03 1.88820000e+03 8.41000000e+02 8.16520000e+02 7.98310000e+02 4.46850000e+02 2.65810000e+02 1.16610000e+02 6.13930000e+01 1.91230000e+01 8.40860000e+00 2.70830000e+00 1.25210000e+00 7.06880000e-01 4.52500000e-01 2.33710000e-01 1.45340000e-01 6.64430000e-02] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.76260000e+04 3.40080000e+04 3.32520000e+04 2.00170000e+04 1.07850000e+04 3.37300000e+03 1.42950000e+03 4.09760000e+02 1.65050000e+02 1.59630000e+02 1.55620000e+02 8.06860000e+01 4.47500000e+01 1.75540000e+01 8.48250000e+00 2.28120000e+00 9.13450000e-01 2.62430000e-01 1.13180000e-01 6.08370000e-02 3.75060000e-02 1.83420000e-02 1.09760000e-02 4.76230000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.10310000e+04 7.41050000e+04 6.86960000e+04 6.72230000e+04 5.95480000e+04 5.83540000e+04 3.39670000e+04 1.77950000e+04 5.32710000e+03 2.18330000e+03 5.96170000e+02 2.31320000e+02 2.23420000e+02 2.17580000e+02 1.09680000e+02 5.92350000e+01 2.22330000e+01 1.03610000e+01 2.60230000e+00 9.93300000e-01 2.68930000e-01 1.12510000e-01 5.96120000e-02 3.65570000e-02 1.79150000e-02 1.08100000e-02 4.75650000e-03] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.89570000e+04 1.36610000e+04 9.03090000e+03 4.05750000e+03 2.20390000e+03 8.82270000e+02 4.44630000e+02 4.33460000e+02 4.25120000e+02 2.56490000e+02 1.61820000e+02 7.68270000e+01 4.25490000e+01 1.42400000e+01 6.50190000e+00 2.17690000e+00 1.02640000e+00 5.86430000e-01 3.78440000e-01 1.97450000e-01 1.23550000e-01 5.69240000e-02] all other = [ 4.08630000e+05 3.03660000e+05 2.98970000e+05 2.62520000e+05 2.58380000e+05 2.09070000e+05 2.05670000e+05 1.83640000e+05 9.89460000e+04 3.99030000e+04 1.97740000e+04 1.14500000e+04 8.23720000e+03 8.07420000e+03 7.26370000e+03 6.79950000e+03 6.66410000e+03 5.91690000e+03 5.79850000e+03 3.49100000e+03 1.95600000e+03 6.69000000e+02 3.08110000e+02 1.01390000e+02 4.55630000e+01 4.42510000e+01 4.32750000e+01 2.43630000e+01 1.45590000e+01 6.43030000e+00 3.39990000e+00 1.06630000e+00 4.70720000e-01 1.52260000e-01 7.05370000e-02 3.98650000e-02 2.55320000e-02 1.31900000e-02 8.20250000e-03 3.74900000e-03] [Ce.binding] K = 40.4606 L1 = 6.5141 M5 = 0.886 M4 = 0.9054 M1 = 1.4103 L3 = 5.7126 M3 = 1.1704 M2 = 1.2602 L2 = 6.1655 [Xe] JM1 = 1.02476013618 JL1 = 1.13129414814 JL3 = 2.88371193813 JL2 = 1.33160344959 energy = [ 1.00000000e+00 1.12110000e+00 1.13010000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 4.76980000e+00 4.80800000e+00 5.00000000e+00 5.09900000e+00 5.13980000e+00 5.41200000e+00 5.45540000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 3.45240000e+01 3.48000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 1.19580000e+05 1.00080000e+05 9.92370000e+04 6.99360000e+04 4.48960000e+04 2.12370000e+04 1.16330000e+04 7.85400000e+03 7.71200000e+03 7.04830000e+03 6.73610000e+03 6.61260000e+03 5.86040000e+03 5.75120000e+03 4.58300000e+03 2.24290000e+03 1.25340000e+03 4.11000000e+02 1.78860000e+02 5.27010000e+01 3.41120000e+01 3.32750000e+01 2.15030000e+01 1.05850000e+01 5.89200000e+00 2.31860000e+00 1.12100000e+00 3.00830000e-01 1.20070000e-01 3.42890000e-02 1.47470000e-02 7.90150000e-03 4.86070000e-03 2.37080000e-03 1.41480000e-03 6.11370000e-04] M = [ 1.75060000e+06 1.37570000e+06 1.41950000e+06 7.57320000e+05 3.83550000e+05 1.40800000e+05 6.76330000e+04 4.28560000e+04 4.19750000e+04 3.78970000e+04 3.60040000e+04 3.52600000e+04 3.07940000e+04 3.01550000e+04 2.34690000e+04 1.09130000e+04 5.98120000e+03 1.97410000e+03 8.89070000e+02 2.85020000e+02 1.91550000e+02 1.87260000e+02 1.26060000e+02 6.66480000e+01 3.94910000e+01 1.72240000e+01 9.02720000e+00 2.78930000e+00 1.21950000e+00 3.89730000e-01 1.79270000e-01 1.00820000e-01 6.43930000e-02 3.31730000e-02 2.06130000e-02 9.43200000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.84870000e+04 9.24790000e+04 8.75150000e+04 1.31870000e+05 1.17050000e+05 1.38080000e+05 1.09600000e+05 5.20510000e+04 2.89180000e+04 9.67610000e+03 4.37860000e+03 1.40870000e+03 9.47320000e+02 9.26160000e+02 6.23800000e+02 3.30040000e+02 1.95620000e+02 8.53410000e+01 4.47240000e+01 1.38130000e+01 6.03620000e+00 1.92790000e+00 8.86550000e-01 4.98810000e-01 3.18620000e-01 1.64230000e-01 1.02100000e-01 4.67640000e-02] M5 = [ 8.15450000e+05 6.23410000e+05 6.11390000e+05 2.89870000e+05 1.27090000e+05 3.65890000e+04 1.43090000e+04 7.88370000e+03 7.67090000e+03 6.70240000e+03 6.26280000e+03 6.09200000e+03 5.09070000e+03 4.95090000e+03 3.54210000e+03 1.25490000e+03 5.46690000e+02 1.14290000e+02 3.62530000e+01 6.88360000e+00 3.83390000e+00 3.70810000e+00 2.06750000e+00 8.06350000e-01 3.72780000e-01 1.10480000e-01 4.32850000e-02 8.14540000e-03 2.59480000e-03 5.61100000e-04 2.07900000e-04 1.01760000e-04 5.86480000e-05 2.65810000e-05 1.56720000e-05 6.43460000e-06] M4 = [ 5.57730000e+05 4.27760000e+05 4.19660000e+05 2.00970000e+05 8.88390000e+04 2.58570000e+04 1.01930000e+04 5.64640000e+03 5.49540000e+03 4.80780000e+03 4.49520000e+03 4.37370000e+03 3.66050000e+03 3.56090000e+03 2.55570000e+03 9.14520000e+02 4.01810000e+02 8.54910000e+01 2.75120000e+01 5.34860000e+00 3.00650000e+00 2.90950000e+00 1.63790000e+00 6.49410000e-01 3.04500000e-01 9.23620000e-02 3.68410000e-02 7.13460000e-03 2.30180000e-03 5.00650000e-04 1.80640000e-04 8.53470000e-05 4.78430000e-05 2.04320000e-05 1.10270000e-05 4.19910000e-06] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.61920000e+04 4.18280000e+04 4.09690000e+04 3.24790000e+04 1.48540000e+04 7.90920000e+03 2.40150000e+03 9.99470000e+02 2.79430000e+02 1.78150000e+02 1.73630000e+02 1.10680000e+02 5.34440000e+01 2.93490000e+01 1.13440000e+01 5.42170000e+00 1.43140000e+00 5.66520000e-01 1.60430000e-01 6.86010000e-02 3.66620000e-02 2.25090000e-02 1.09480000e-02 6.52890000e-03 2.81910000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.84870000e+04 9.24790000e+04 8.75150000e+04 8.56750000e+04 7.52230000e+04 7.37340000e+04 5.73950000e+04 2.53120000e+04 1.32100000e+04 3.85800000e+03 1.55800000e+03 4.17020000e+02 2.61560000e+02 2.54700000e+02 1.59660000e+02 7.49500000e+01 4.01690000e+01 1.49010000e+01 6.88580000e+00 1.70530000e+00 6.45390000e-01 1.73070000e-01 7.20630000e-02 3.80940000e-02 2.33380000e-02 1.14380000e-02 6.91100000e-03 3.05610000e-03] M3 = [ 2.57850000e+05 2.24490000e+05 2.22060000e+05 1.47830000e+05 9.05330000e+04 4.06140000e+04 2.15890000e+04 1.43180000e+04 1.40490000e+04 1.27910000e+04 1.22000000e+04 1.19660000e+04 1.05500000e+04 1.03460000e+04 8.17200000e+03 3.89230000e+03 2.12970000e+03 6.71570000e+02 2.83790000e+02 7.99800000e+01 5.09240000e+01 4.96260000e+01 3.15280000e+01 1.50810000e+01 8.18980000e+00 3.09160000e+00 1.44470000e+00 3.63500000e-01 1.38720000e-01 3.75180000e-02 1.56560000e-02 8.29590000e-03 5.08820000e-03 2.49370000e-03 1.50840000e-03 6.66610000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.33770000e+04 1.97270000e+04 1.18860000e+04 7.79880000e+03 3.41660000e+03 1.82110000e+03 7.12220000e+02 5.07610000e+02 4.97840000e+02 3.53470000e+02 2.01640000e+02 1.26100000e+02 5.90960000e+01 3.24170000e+01 1.06760000e+01 4.82430000e+00 1.59440000e+00 7.45880000e-01 4.24050000e-01 2.72770000e-01 1.41840000e-01 8.86650000e-02 4.08890000e-02] JK = 5.86550151976 M1 = [ 0.00000000e+00 0.00000000e+00 6.71550000e+04 4.87110000e+04 3.21930000e+04 1.65040000e+04 9.90910000e+03 7.15410000e+03 7.04790000e+03 6.54780000e+03 6.30970000e+03 6.21510000e+03 5.63190000e+03 5.54630000e+03 4.61590000e+03 2.60840000e+03 1.64950000e+03 6.91750000e+02 3.62670000e+02 1.40110000e+02 9.96690000e+01 9.77430000e+01 6.93220000e+01 3.95260000e+01 2.47320000e+01 1.16110000e+01 6.38140000e+00 2.10970000e+00 9.55830000e-01 3.16860000e-01 1.48480000e-01 8.44380000e-02 5.43370000e-02 2.82610000e-02 1.76630000e-02 8.14340000e-03] all other = [ 2.99810000e+05 2.39790000e+05 2.36010000e+05 1.31450000e+05 6.99410000e+04 2.73900000e+04 1.36940000e+04 8.86830000e+03 8.69390000e+03 7.88410000e+03 7.50670000e+03 7.35820000e+03 6.46300000e+03 6.33440000e+03 4.98030000e+03 2.37770000e+03 1.32640000e+03 4.50470000e+02 2.06270000e+02 6.73910000e+01 4.55390000e+01 4.45350000e+01 3.01340000e+01 1.60500000e+01 9.56100000e+00 4.19960000e+00 2.21070000e+00 6.87660000e-01 3.01740000e-01 9.67910000e-02 4.46030000e-02 2.51230000e-02 1.60560000e-02 8.27920000e-03 5.14720000e-03 2.35710000e-03] total = [ 2.05040000e+06 1.61550000e+06 1.65550000e+06 8.88770000e+05 4.53490000e+05 1.68190000e+05 8.13270000e+04 5.17250000e+04 1.49160000e+05 1.38260000e+05 1.31030000e+05 1.74480000e+05 1.54310000e+05 1.74570000e+05 1.38050000e+05 6.53420000e+04 3.62260000e+04 1.21010000e+04 5.47390000e+03 1.76110000e+03 1.18440000e+03 6.94710000e+03 4.82000000e+03 2.67470000e+03 1.62540000e+03 7.33080000e+02 3.91040000e+02 1.23240000e+02 5.42990000e+01 1.74660000e+01 8.06430000e+00 4.55320000e+00 2.91800000e+00 1.51280000e+00 9.45100000e-01 4.36410000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.78910000e+03 4.04000000e+03 2.26190000e+03 1.38070000e+03 6.26310000e+02 3.35080000e+02 1.05950000e+02 4.67420000e+01 1.50520000e+01 6.95390000e+00 3.92850000e+00 2.51890000e+00 1.30720000e+00 8.17240000e-01 3.77850000e-01] [Xe.binding] K = 34.5584 L1 = 5.4175 M5 = 0.6774 M4 = 0.6909 M1 = 1.1222 L3 = 4.7745 M3 = 0.9265 M2 = 0.9896 L2 = 5.1041 [Lu] JL1 = 1.1322077591 JL3 = 2.59671457906 JL2 = 1.34991528532 energy = [ 1.00000000e+00 1.50000000e+00 1.59600000e+00 1.60880000e+00 1.64920000e+00 1.66240000e+00 2.00000000e+00 2.01410000e+00 2.03020000e+00 2.25620000e+00 2.27430000e+00 2.46910000e+00 2.48890000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 9.23370000e+00 9.30760000e+00 1.00000000e+01 1.03630000e+01 1.04460000e+01 1.08370000e+01 1.09240000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 6.33970000e+01 6.39050000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.12161522235 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.63310000e+05 7.19110000e+05 7.25210000e+05 4.57350000e+05 4.48970000e+05 4.39630000e+05 3.32260000e+05 3.25250000e+05 2.62660000e+05 2.57150000e+05 1.52810000e+05 6.54060000e+04 3.27450000e+04 1.82480000e+04 7.01410000e+03 4.28870000e+03 4.17190000e+03 3.24900000e+03 2.86660000e+03 2.78740000e+03 2.44880000e+03 2.38080000e+03 7.58820000e+02 2.59770000e+02 5.45690000e+01 1.75220000e+01 7.17280000e+00 3.43950000e+00 2.75310000e+00 2.66570000e+00 1.07470000e+00 4.36610000e-01 8.69550000e-02 2.86440000e-02 6.47100000e-03 2.42650000e-03 1.19420000e-03 6.92490000e-04 3.16090000e-04 1.80340000e-04 7.60500000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.65140000e+05 3.20520000e+05 3.14740000e+05 3.08300000e+05 2.34120000e+05 2.29260000e+05 1.85720000e+05 1.81800000e+05 1.09340000e+05 4.73880000e+04 2.39800000e+04 1.34860000e+04 5.25930000e+03 3.24060000e+03 3.15370000e+03 2.46640000e+03 2.18040000e+03 2.12100000e+03 1.86710000e+03 1.81610000e+03 5.90120000e+02 2.05960000e+02 4.46090000e+01 1.46780000e+01 6.13260000e+00 2.99280000e+00 2.40850000e+00 2.33390000e+00 9.62390000e-01 3.99850000e-01 8.26780000e-02 2.77790000e-02 6.33110000e-03 2.34240000e-03 1.12550000e-03 6.40790000e-04 2.76300000e-04 1.53830000e-04 5.79070000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.19580000e+04 2.52960000e+04 1.65000000e+04 1.15230000e+04 8.46290000e+03 5.05270000e+03 3.86840000e+03 3.81040000e+03 3.32270000e+03 3.10290000e+03 3.05570000e+03 2.84680000e+03 2.80320000e+03 1.49180000e+03 8.21150000e+02 3.40280000e+02 1.77090000e+02 1.05020000e+02 6.78490000e+01 5.93610000e+01 5.82190000e+01 3.34760000e+01 1.91030000e+01 6.74180000e+00 3.19010000e+00 1.11800000e+00 5.41900000e-01 3.15170000e-01 2.05780000e-01 1.08650000e-01 6.82720000e-02 3.13650000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.55370000e+05 1.29960000e+05 1.28450000e+05 1.12590000e+05 1.11100000e+05 8.09300000e+04 4.80130000e+04 3.06270000e+04 2.07260000e+04 1.07490000e+04 7.62500000e+03 7.47800000e+03 6.26870000e+03 5.73790000e+03 5.62510000e+03 5.13070000e+03 5.02870000e+03 2.20840000e+03 1.00640000e+03 3.13760000e+02 1.32300000e+02 6.64960000e+01 3.75290000e+01 3.15250000e+01 3.07370000e+01 1.50000000e+01 7.30150000e+00 1.96250000e+00 7.79270000e-01 2.20270000e-01 9.40640000e-02 5.03620000e-02 3.10590000e-02 1.51990000e-02 9.14900000e-03 3.97610000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.36550000e+04 4.79010000e+04 4.74960000e+04 3.68180000e+04 2.38020000e+04 1.59840000e+04 1.12230000e+04 6.15890000e+03 4.48010000e+03 4.40030000e+03 3.73750000e+03 3.44150000e+03 3.37830000e+03 3.10040000e+03 3.04290000e+03 1.41080000e+03 6.74850000e+02 2.25570000e+02 1.00130000e+02 5.24560000e+01 3.06580000e+01 2.60320000e+01 2.54220000e+01 1.29760000e+01 6.61460000e+00 1.93760000e+00 8.17170000e-01 2.49600000e-01 1.11450000e-01 6.12730000e-02 3.84040000e-02 1.91830000e-02 1.16350000e-02 5.12170000e-03] total = [ 9.22720000e+05 4.10680000e+05 3.60670000e+05 6.17970000e+05 1.05560000e+06 1.22120000e+06 9.99980000e+05 9.82450000e+05 1.11820000e+06 8.66520000e+05 9.03790000e+05 7.47880000e+05 7.66030000e+05 4.94230000e+05 2.46350000e+05 1.41260000e+05 8.90180000e+04 4.24570000e+04 2.92200000e+04 7.58760000e+04 6.29890000e+04 5.72510000e+04 7.72840000e+04 7.06010000e+04 7.99350000e+04 3.54110000e+04 1.65060000e+04 5.52190000e+03 2.50670000e+03 1.35100000e+03 8.12850000e+02 6.96870000e+02 3.56910000e+03 1.97810000e+03 1.09240000e+03 3.63660000e+02 1.65770000e+02 5.56800000e+01 2.64200000e+01 1.51920000e+01 9.85760000e+00 5.17930000e+00 3.25120000e+00 1.49630000e+00] JM2 = 1.04301112496 JM3 = 1.13817497074 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.88760000e+03 1.61500000e+03 8.98470000e+02 3.01650000e+02 1.37980000e+02 4.64860000e+01 2.20970000e+01 1.27240000e+01 8.26620000e+00 4.35190000e+00 2.73580000e+00 1.26190000e+00] JM1 = 1.02426859924 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.63310000e+05 7.19110000e+05 8.90360000e+05 7.77870000e+05 7.63710000e+05 9.03300000e+05 6.96340000e+05 7.36610000e+05 6.08870000e+05 6.29500000e+05 4.05190000e+05 2.01110000e+05 1.14860000e+05 7.21460000e+04 3.42340000e+04 2.35030000e+04 2.30140000e+04 1.90440000e+04 1.73290000e+04 1.69670000e+04 1.53940000e+04 1.50720000e+04 6.45990000e+03 2.96810000e+03 9.78790000e+02 4.41720000e+02 2.37280000e+02 1.42470000e+02 1.22080000e+02 1.19380000e+02 6.34890000e+01 3.38560000e+01 1.08120000e+01 4.84290000e+00 1.60070000e+00 7.52180000e-01 4.29130000e-01 2.76570000e-01 1.43620000e-01 8.93910000e-02 4.05970000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.72600000e+04 3.92800000e+04 3.56650000e+04 5.61450000e+04 5.14110000e+04 6.11450000e+04 2.73190000e+04 1.27740000e+04 4.28570000e+03 1.94720000e+03 1.04990000e+03 6.31830000e+02 5.41700000e+02 5.29750000e+02 2.82270000e+02 1.50730000e+02 4.82090000e+01 2.16070000e+01 7.14610000e+00 3.36010000e+00 1.91830000e+00 1.23710000e+00 6.43380000e-01 4.00810000e-01 1.82360000e-01] JM4 = 1.15687760515 JM5 = 1.71339451576 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.12150000e+04 1.96560000e+04 1.92010000e+04 8.41010000e+03 3.77710000e+03 1.17230000e+03 4.98220000e+02 2.53380000e+02 1.44970000e+02 1.22370000e+02 1.19400000e+02 5.96160000e+01 2.98280000e+01 8.50500000e+00 3.53570000e+00 1.06400000e+00 4.71590000e-01 2.58190000e-01 1.61400000e-01 8.02750000e-02 4.86080000e-02 2.13390000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.72600000e+04 3.92800000e+04 3.56650000e+04 3.49300000e+04 3.17560000e+04 3.11020000e+04 1.26810000e+04 5.42830000e+03 1.57240000e+03 6.34580000e+02 3.09880000e+02 1.71280000e+02 1.43030000e+02 1.39340000e+02 6.65620000e+01 3.18220000e+01 8.33600000e+00 3.26530000e+00 9.10290000e-01 3.86140000e-01 2.05960000e-01 1.26720000e-01 6.20110000e-02 3.72720000e-02 1.62290000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.08420000e+04 6.22800000e+03 3.56880000e+03 1.54100000e+03 8.14420000e+02 4.86680000e+02 3.15580000e+02 2.76300000e+02 2.71000000e+02 1.56090000e+02 8.90780000e+01 3.13680000e+01 1.48060000e+01 5.17180000e+00 2.50240000e+00 1.45410000e+00 9.48960000e-01 5.01090000e-01 3.14930000e-01 1.44790000e-01] all other = [ 9.22720000e+05 4.10680000e+05 3.60670000e+05 3.54660000e+05 3.36520000e+05 3.30870000e+05 2.22120000e+05 2.18730000e+05 2.14940000e+05 1.70180000e+05 1.67180000e+05 1.39010000e+05 1.36530000e+05 8.90370000e+04 4.52400000e+04 2.64000000e+04 1.68730000e+04 8.22330000e+03 5.71720000e+03 5.60230000e+03 4.66460000e+03 4.25710000e+03 4.17090000e+03 3.79530000e+03 3.71820000e+03 1.63180000e+03 7.63760000e+02 2.57410000e+02 1.17730000e+02 6.38010000e+01 3.85530000e+01 3.30940000e+01 3.23700000e+01 1.73310000e+01 9.29530000e+00 2.99430000e+00 1.34770000e+00 4.47580000e-01 2.10880000e-01 1.20500000e-01 7.77330000e-02 4.04260000e-02 2.51740000e-02 1.14430000e-02] [Lu.binding] K = 63.4607 L1 = 10.848 M5 = 1.5976 M4 = 1.6509 M1 = 2.4716 L3 = 9.2429 M3 = 2.0161 M2 = 2.2585 L2 = 10.3737 [Cs] JM1 = 1.02803180915 JL1 = 1.12902562697 JL3 = 2.90089546232 JL2 = 1.33918601829 JM2 = 1.04002617516 energy = [ 1.00000000e+00 1.05870000e+00 1.06710000e+00 1.19540000e+00 1.20500000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 5.00090000e+00 5.04090000e+00 5.35800000e+00 5.40090000e+00 5.67980000e+00 5.72530000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 3.59530000e+01 3.62400000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 0.00000000e+00 0.00000000e+00 1.03850000e+05 9.48240000e+04 9.40080000e+04 7.12650000e+04 4.66510000e+04 2.23460000e+04 1.23390000e+04 7.51660000e+03 7.51360000e+03 7.37750000e+03 6.40880000e+03 6.29120000e+03 5.59200000e+03 5.48780000e+03 4.90920000e+03 2.41870000e+03 1.35810000e+03 4.49250000e+02 1.96630000e+02 5.83830000e+01 3.34060000e+01 3.25880000e+01 2.39430000e+01 1.18300000e+01 6.60480000e+00 2.61040000e+00 1.26610000e+00 3.41540000e-01 1.36770000e-01 3.92150000e-02 1.69000000e-02 9.07050000e-03 5.58670000e-03 2.72740000e-03 1.62920000e-03 7.04570000e-04] M = [ 1.73660000e+06 1.53930000e+06 1.61720000e+06 1.27720000e+06 1.32320000e+06 8.09890000e+05 4.12000000e+05 1.51680000e+05 7.29430000e+04 4.09130000e+04 4.08950000e+04 4.00530000e+04 3.41480000e+04 3.34410000e+04 2.92980000e+04 2.86890000e+04 2.53570000e+04 1.18050000e+04 6.47550000e+03 2.14100000e+03 9.65420000e+02 3.09990000e+02 1.85820000e+02 1.81660000e+02 1.37260000e+02 7.26390000e+01 4.30750000e+01 1.88110000e+01 9.86970000e+00 3.05590000e+00 1.33810000e+00 4.28500000e-01 1.97350000e-01 1.11090000e-01 7.09860000e-02 3.65850000e-02 2.27360000e-02 1.03970000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.54830000e+04 8.20400000e+04 1.24820000e+05 1.10250000e+05 1.29810000e+05 1.16190000e+05 5.56800000e+04 3.09620000e+04 1.03900000e+04 4.71150000e+03 1.51890000e+03 9.11380000e+02 8.91040000e+02 6.73590000e+02 3.56740000e+02 2.11640000e+02 9.24600000e+01 4.85120000e+01 1.50150000e+01 6.57180000e+00 2.10340000e+00 9.68550000e-01 5.45420000e-01 3.48580000e-01 1.79760000e-01 1.11770000e-01 5.11650000e-02] M5 = [ 8.77880000e+05 7.67350000e+05 7.52830000e+05 5.74670000e+05 5.63470000e+05 3.16250000e+05 1.39880000e+05 4.05860000e+04 1.59630000e+04 7.51170000e+03 7.50720000e+03 7.30440000e+03 5.91660000e+03 5.75500000e+03 4.82870000e+03 4.69590000e+03 3.98370000e+03 1.41890000e+03 6.20840000e+02 1.30790000e+02 4.16880000e+01 7.96690000e+00 3.75510000e+00 3.63210000e+00 2.40320000e+00 9.40090000e-01 4.35550000e-01 1.29480000e-01 5.08390000e-02 9.60120000e-03 3.06510000e-03 6.65860000e-04 2.46730000e-04 1.20290000e-04 6.92580000e-05 3.18060000e-05 1.84800000e-05 7.77970000e-06] M4 = [ 6.00070000e+05 5.25690000e+05 5.15890000e+05 3.95000000e+05 3.87430000e+05 2.19170000e+05 9.77930000e+04 2.87010000e+04 1.13860000e+04 5.39480000e+03 5.39160000e+03 5.24730000e+03 4.25920000e+03 4.14400000e+03 3.48260000e+03 3.38770000e+03 2.87840000e+03 1.03580000e+03 4.57150000e+02 9.80510000e+01 3.17150000e+01 6.20820000e+00 2.96170000e+00 2.86640000e+00 1.90980000e+00 7.59660000e-01 3.57050000e-01 1.08670000e-01 4.34520000e-02 8.44930000e-03 2.73320000e-03 5.95600000e-04 2.15400000e-04 1.02100000e-04 5.73660000e-05 2.43430000e-05 1.31910000e-05 5.14100000e-06] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.45170000e+04 3.95880000e+04 3.87420000e+04 3.44680000e+04 1.60030000e+04 8.56210000e+03 2.62150000e+03 1.09620000e+03 3.08470000e+02 1.73010000e+02 1.68630000e+02 1.22690000e+02 5.94250000e+01 3.27160000e+01 1.26920000e+01 6.08290000e+00 1.61340000e+00 6.40440000e-01 1.82020000e-01 7.80010000e-02 4.17460000e-02 2.56560000e-02 1.24960000e-02 7.45810000e-03 3.22410000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.54830000e+04 8.20400000e+04 8.02980000e+04 7.06640000e+04 6.92610000e+04 6.13840000e+04 2.73340000e+04 1.42900000e+04 4.19280000e+03 1.70070000e+03 4.57380000e+02 2.51080000e+02 2.44490000e+02 1.75720000e+02 8.26980000e+01 4.44060000e+01 1.65220000e+01 7.65160000e+00 1.90170000e+00 7.21270000e-01 1.93890000e-01 8.08280000e-02 4.27520000e-02 2.61990000e-02 1.28400000e-02 7.75540000e-03 3.42510000e-03] M3 = [ 2.58620000e+05 2.46280000e+05 2.44600000e+05 2.12700000e+05 2.10320000e+05 1.53030000e+05 9.45420000e+04 4.29050000e+04 2.29310000e+04 1.36500000e+04 1.36450000e+04 1.33880000e+04 1.15590000e+04 1.13370000e+04 1.00230000e+04 9.82850000e+03 8.75330000e+03 4.19200000e+03 2.30350000e+03 7.31700000e+02 3.10730000e+02 8.81400000e+01 4.93420000e+01 4.80860000e+01 3.48950000e+01 1.67440000e+01 9.11470000e+00 3.45300000e+00 1.61760000e+00 4.08680000e-01 1.56340000e-01 4.23980000e-02 1.77210000e-02 9.39450000e-03 5.76230000e-03 2.82520000e-03 1.70890000e-03 7.54400000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.18090000e+04 2.03370000e+04 1.23430000e+04 8.10980000e+03 3.57530000e+03 1.91460000e+03 7.53010000e+02 4.87300000e+02 4.77920000e+02 3.75190000e+02 2.14610000e+02 1.34520000e+02 6.32460000e+01 3.47780000e+01 1.15000000e+01 5.21010000e+00 1.72750000e+00 8.09720000e-01 4.60920000e-01 2.96720000e-01 1.54420000e-01 9.65540000e-02 4.45160000e-02] JK = 5.82335958005 M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.79610000e+04 5.01670000e+04 3.31340000e+04 1.71390000e+04 1.03240000e+04 6.84000000e+03 6.83770000e+03 6.73610000e+03 6.00410000e+03 5.91380000e+03 5.37110000e+03 5.28940000e+03 4.83200000e+03 2.73940000e+03 1.73590000e+03 7.31240000e+02 3.84660000e+02 1.49290000e+02 9.63530000e+01 9.44920000e+01 7.41110000e+01 4.23640000e+01 2.65630000e+01 1.25100000e+01 6.89170000e+00 2.28760000e+00 1.03920000e+00 3.45620000e-01 1.62270000e-01 9.24030000e-02 5.95100000e-02 3.09770000e-02 1.93660000e-02 8.92540000e-03] all other = [ 3.28460000e+05 2.94500000e+05 2.89990000e+05 2.31820000e+05 2.28140000e+05 1.45100000e+05 7.75040000e+04 3.04690000e+04 1.52660000e+04 8.80370000e+03 8.79990000e+03 8.62650000e+03 7.40510000e+03 7.25830000e+03 6.39430000e+03 6.26680000e+03 5.56610000e+03 2.66160000e+03 1.48680000e+03 5.05730000e+02 2.31860000e+02 7.58590000e+01 4.57940000e+01 4.47830000e+01 3.39560000e+01 1.80990000e+01 1.07890000e+01 4.74380000e+00 2.50100000e+00 7.79120000e-01 3.42360000e-01 1.10040000e-01 5.07730000e-02 2.86200000e-02 1.83010000e-02 9.44090000e-03 5.86960000e-03 2.68660000e-03] total = [ 2.06500000e+06 1.83380000e+06 1.90720000e+06 1.50900000e+06 1.55130000e+06 9.54990000e+05 4.89500000e+05 1.82150000e+05 8.82090000e+04 4.97170000e+04 4.96950000e+04 1.44160000e+05 1.23590000e+05 1.65510000e+05 1.45940000e+05 1.64770000e+05 1.47110000e+05 7.01460000e+04 3.89240000e+04 1.30360000e+04 5.90880000e+03 1.90470000e+03 1.14300000e+03 6.65610000e+03 5.11910000e+03 2.85300000e+03 1.73670000e+03 7.85610000e+02 4.19950000e+02 1.32770000e+02 5.86150000e+01 1.89010000e+01 8.74080000e+00 4.94020000e+00 3.16820000e+00 1.64370000e+00 1.02710000e+00 4.74150000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.53860000e+03 4.27420000e+03 2.40550000e+03 1.47120000e+03 6.69590000e+02 3.59070000e+02 1.13920000e+02 5.03630000e+01 1.62600000e+01 7.52410000e+00 4.25510000e+00 2.73030000e+00 1.41790000e+00 8.86740000e-01 4.09900000e-01] [Cs.binding] K = 35.9885 L1 = 5.6855 M5 = 0.7328 M4 = 0.7476 M1 = 1.1966 L3 = 5.0059 M3 = 0.9906 M2 = 1.0597 L2 = 5.3634 [Cr] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 5.95170000e+00 5.99930000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 1.49150000e+04 5.32370000e+03 2.44130000e+03 7.61190000e+02 3.17820000e+02 1.57480000e+02 8.97900000e+01 8.74870000e+01 8.74550000e+01 3.37560000e+01 1.58300000e+01 3.84150000e+00 1.36830000e+00 3.10540000e-01 1.06680000e-01 4.63300000e-02 2.34000000e-02 7.98000000e-03 3.48370000e-03 7.92560000e-04 2.86030000e-04 7.25070000e-05 2.90530000e-05 1.48770000e-05 8.86120000e-06 4.14200000e-06 2.41450000e-06 1.00490000e-06] M = [ 6.52050000e+04 2.44570000e+04 1.18780000e+04 4.15240000e+03 1.92780000e+03 1.05150000e+03 6.51280000e+02 6.37090000e+02 6.36890000e+02 2.85950000e+02 1.52480000e+02 4.77750000e+01 2.06750000e+01 6.22940000e+00 2.62210000e+00 1.33140000e+00 7.62190000e-01 3.14160000e-01 1.57430000e-01 4.48370000e-02 1.85370000e-02 5.51150000e-03 2.42780000e-03 1.33030000e-03 8.36230000e-04 4.25130000e-04 2.64190000e-04 1.23190000e-04] L = [ 5.73310000e+05 2.07640000e+05 9.79770000e+04 3.29960000e+04 1.49890000e+04 8.06630000e+03 4.95210000e+03 4.84230000e+03 4.84080000e+03 2.14640000e+03 1.13470000e+03 3.50840000e+02 1.50730000e+02 4.50540000e+01 1.88960000e+01 9.56840000e+00 5.46660000e+00 2.24740000e+00 1.12440000e+00 3.19450000e-01 1.31900000e-01 3.91810000e-02 1.72510000e-02 9.44970000e-03 5.93930000e-03 3.01920000e-03 1.87590000e-03 8.74590000e-04] M5 = [ 2.23820000e+03 5.10250000e+02 1.70650000e+02 3.37530000e+01 1.02240000e+01 3.96430000e+00 1.87570000e+00 1.81230000e+00 1.81140000e+00 5.19140000e-01 1.93790000e-01 3.09140000e-02 8.21280000e-03 1.25080000e-03 3.26640000e-04 1.15250000e-04 4.92680000e-05 1.30100000e-05 4.70140000e-06 7.77200000e-07 2.30160000e-07 4.64360000e-08 1.65830000e-08 7.95120000e-09 4.61730000e-09 2.11160000e-09 1.25200000e-09 6.07190000e-10] M4 = [ 1.52370000e+03 3.48250000e+02 1.16700000e+02 2.32580000e+01 7.06780000e+00 2.74810000e+00 1.30340000e+00 1.25950000e+00 1.25880000e+00 3.62340000e-01 1.35790000e-01 2.18560000e-02 5.85230000e-03 9.02820000e-04 2.38410000e-04 8.49100000e-05 3.66330000e-05 9.81190000e-06 3.58160000e-06 6.01640000e-07 1.78260000e-07 3.52070000e-08 1.19680000e-08 5.47400000e-09 2.99320000e-09 1.23620000e-09 6.65320000e-10 2.82280000e-10] L2 = [ 1.59290000e+05 5.28810000e+04 2.30810000e+04 6.77630000e+03 2.73470000e+03 1.32660000e+03 7.45770000e+02 7.26200000e+02 7.25930000e+02 2.74610000e+02 1.27000000e+02 3.02010000e+01 1.06490000e+01 2.38730000e+00 8.15020000e-01 3.52510000e-01 1.77550000e-01 6.03190000e-02 2.62690000e-02 5.95480000e-03 2.14370000e-03 5.44610000e-04 2.18200000e-04 1.11750000e-04 6.65460000e-05 3.11110000e-05 1.81810000e-05 7.60160000e-06] L3 = [ 3.10630000e+05 1.02310000e+05 4.44090000e+04 1.29370000e+04 5.19070000e+03 2.50570000e+03 1.40300000e+03 1.36590000e+03 1.36540000e+03 5.12760000e+02 2.35650000e+02 5.52970000e+01 1.92800000e+01 4.24080000e+00 1.42450000e+00 6.07270000e-01 3.01920000e-01 1.00260000e-01 4.28270000e-02 9.36160000e-03 3.29210000e-03 8.13640000e-04 3.25490000e-04 1.68660000e-04 1.02560000e-04 5.01910000e-05 3.04180000e-05 1.38240000e-05] M3 = [ 2.90540000e+04 1.02950000e+04 4.69650000e+03 1.45310000e+03 6.03180000e+02 2.97410000e+02 1.68860000e+02 1.64500000e+02 1.64440000e+02 6.29940000e+01 2.93510000e+01 7.02880000e+00 2.47650000e+00 5.50000000e-01 1.85910000e-01 7.95620000e-02 3.96680000e-02 1.32180000e-02 5.65910000e-03 1.24080000e-03 4.36910000e-04 1.08310000e-04 4.33800000e-05 2.24960000e-05 1.36820000e-05 6.69040000e-06 4.07060000e-06 1.85250000e-06] L1 = [ 1.03390000e+05 5.24460000e+04 3.04870000e+04 1.32830000e+04 7.06360000e+03 4.23410000e+03 2.80340000e+03 2.75020000e+03 2.74950000e+03 1.35900000e+03 7.72030000e+02 2.65340000e+02 1.20810000e+02 3.84260000e+01 1.66570000e+01 8.60860000e+00 4.98710000e+00 2.08680000e+00 1.05530000e+00 3.04140000e-01 1.26470000e-01 3.78230000e-02 1.67070000e-02 9.16930000e-03 5.77020000e-03 2.93780000e-03 1.82730000e-03 8.53160000e-04] JK = 7.90819053048 M1 = [ 1.74740000e+04 7.97950000e+03 4.45310000e+03 1.88110000e+03 9.89460000e+02 5.89890000e+02 3.89450000e+02 3.82030000e+02 3.81930000e+02 1.88320000e+02 1.06970000e+02 3.68510000e+01 1.68160000e+01 5.36670000e+00 2.32890000e+00 1.20540000e+00 6.99030000e-01 2.92940000e-01 1.48280000e-01 4.28030000e-02 1.78140000e-02 5.33060000e-03 2.35540000e-03 1.29290000e-03 8.13680000e-04 4.14300000e-04 2.57700000e-04 1.20340000e-04] all other = [ 4.76040000e+02 2.15290000e+02 1.19600000e+02 5.06010000e+01 2.65760000e+01 1.58330000e+01 1.04490000e+01 1.02500000e+01 1.02470000e+01 5.05110000e+00 2.86870000e+00 9.88310000e-01 4.51000000e-01 1.43930000e-01 6.25280000e-02 3.23660000e-02 1.87720000e-02 7.86770000e-03 3.98280000e-03 1.14980000e-03 4.78580000e-04 1.43240000e-04 6.33150000e-05 3.47740000e-05 2.19040000e-05 1.11800000e-05 6.97860000e-06 3.30860000e-06] total = [ 6.38990000e+05 2.32310000e+05 1.09970000e+05 3.71990000e+04 1.69430000e+04 9.13370000e+03 5.61380000e+03 4.43950000e+04 4.43950000e+04 2.15760000e+04 1.18720000e+04 3.88050000e+03 1.70970000e+03 5.22790000e+02 2.21440000e+02 1.12710000e+02 6.45940000e+01 2.66430000e+01 1.33500000e+01 3.79830000e+00 1.56880000e+00 4.65850000e-01 2.05100000e-01 1.12380000e-01 7.06560000e-02 3.59500000e-02 2.23590000e-02 1.04460000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.89050000e+04 3.89070000e+04 1.91390000e+04 1.05820000e+04 3.48090000e+03 1.53780000e+03 4.71360000e+02 1.99860000e+02 1.01780000e+02 5.83460000e+01 2.40730000e+01 1.20640000e+01 3.43290000e+00 1.41790000e+00 4.21010000e-01 1.85360000e-01 1.01560000e-01 6.38590000e-02 3.24940000e-02 2.02120000e-02 9.44470000e-03] [Cr.binding] K = 5.9576 L1 = 0.6874 M5 = 0.0064 M4 = 0.0065 M1 = 0.0792 L3 = 0.5808 M3 = 0.0502 M2 = 0.0513 L2 = 0.5898 [Cu] JL1 = 1.11052454607 energy = [ 1.00000000e+00 1.08510000e+00 1.09380000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 8.93440000e+00 9.00590000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 2.87470000e+04 2.40340000e+04 2.36110000e+04 1.13120000e+04 5.49840000e+03 1.85110000e+03 8.15920000e+02 4.21220000e+02 2.41470000e+02 9.76020000e+01 6.83490000e+01 6.66020000e+01 4.73100000e+01 1.21670000e+01 4.50860000e+00 1.07440000e+00 3.81600000e-01 1.69690000e-01 8.72930000e-02 3.05650000e-02 1.35890000e-02 3.18160000e-03 1.16790000e-03 3.02000000e-04 1.22380000e-04 6.31740000e-05 3.78440000e-05 1.78190000e-05 1.04170000e-05 4.36790000e-06] M = [ 1.43000000e+05 1.17840000e+05 1.15620000e+05 5.36810000e+04 2.61040000e+04 9.17350000e+03 4.28850000e+03 2.35430000e+03 1.43380000e+03 6.48900000e+02 4.77110000e+02 4.66610000e+02 3.48080000e+02 1.10490000e+02 4.83640000e+01 1.48300000e+01 6.33160000e+00 3.25080000e+00 1.87610000e+00 7.84180000e-01 3.97090000e-01 1.15120000e-01 4.81410000e-02 1.45160000e-02 6.44590000e-03 3.54890000e-03 2.23720000e-03 1.14000000e-03 7.08350000e-04 3.29180000e-04] L = [ 9.71150000e+05 7.73820000e+05 8.74660000e+05 4.11720000e+05 2.00510000e+05 6.93540000e+04 3.19600000e+04 1.73490000e+04 1.04740000e+04 4.68400000e+03 3.43010000e+03 3.35370000e+03 2.49300000e+03 7.81920000e+02 3.39740000e+02 1.03290000e+02 4.38880000e+01 2.24590000e+01 1.29430000e+01 5.39380000e+00 2.72610000e+00 7.88080000e-01 3.29070000e-01 9.90620000e-02 4.39600000e-02 2.41980000e-02 1.52520000e-02 7.77060000e-03 4.82810000e-03 2.24360000e-03] M5 = [ 1.87480000e+04 1.42330000e+04 1.38530000e+04 4.61700000e+03 1.62720000e+03 3.51290000e+02 1.13170000e+02 4.54630000e+01 2.13420000e+01 6.30410000e+00 3.92020000e+00 3.78750000e+00 2.40690000e+00 4.06540000e-01 1.12330000e-01 1.77840000e-02 4.76400000e-03 1.71510000e-03 7.45400000e-04 2.01790000e-04 7.41520000e-05 1.25730000e-05 3.76790000e-06 7.68880000e-07 2.76030000e-07 1.32700000e-07 7.66970000e-08 3.49210000e-08 2.03710000e-08 8.83250000e-09] M4 = [ 1.28490000e+04 9.76180000e+03 9.50170000e+03 3.17560000e+03 1.12220000e+03 2.43230000e+02 7.86060000e+01 3.18340000e+01 1.49890000e+01 4.45170000e+00 2.77450000e+00 2.68110000e+00 1.70790000e+00 2.91350000e-01 8.11960000e-02 1.30500000e-02 3.54030000e-03 1.28810000e-03 5.65230000e-04 1.55380000e-04 5.77760000e-05 9.97610000e-06 3.00270000e-06 6.01530000e-07 2.07220000e-07 9.49850000e-08 5.21610000e-08 2.15410000e-08 1.15460000e-08 4.22220000e-09] L2 = [ 3.32220000e+05 2.62870000e+05 2.57400000e+05 1.15430000e+05 5.32270000e+04 1.66340000e+04 7.00270000e+03 3.50310000e+03 1.96340000e+03 7.70210000e+02 5.34090000e+02 5.20090000e+02 3.66300000e+02 9.16040000e+01 3.34050000e+01 7.82710000e+00 2.75260000e+00 1.21690000e+00 6.23410000e-01 2.17090000e-01 9.61900000e-02 2.24090000e-02 8.20210000e-03 2.11360000e-03 8.58690000e-04 4.42980000e-04 2.65250000e-04 1.24790000e-04 7.32120000e-05 3.06170000e-05] L3 = [ 6.38930000e+05 5.10950000e+05 5.00390000e+05 2.22900000e+05 1.01820000e+05 3.14610000e+04 1.31380000e+04 6.52980000e+03 3.63970000e+03 1.41460000e+03 9.77250000e+02 9.51360000e+02 6.67550000e+02 1.64280000e+02 5.91160000e+01 1.35490000e+01 4.67740000e+00 2.03450000e+00 1.02720000e+00 3.48770000e-01 1.51260000e-01 3.38280000e-02 1.20490000e-02 3.02420000e-03 1.21640000e-03 6.32620000e-04 3.85130000e-04 1.88650000e-04 1.14320000e-04 5.19350000e-05] M3 = [ 5.58670000e+04 4.66000000e+04 4.57700000e+04 2.17430000e+04 1.04890000e+04 3.49320000e+03 1.52740000e+03 7.83440000e+02 4.46640000e+02 1.78830000e+02 1.24740000e+02 1.21520000e+02 8.59900000e+01 2.17540000e+01 7.95330000e+00 1.85430000e+00 6.44960000e-01 2.82180000e-01 1.43040000e-01 4.88260000e-02 2.12480000e-02 4.77310000e-03 1.70390000e-03 4.28510000e-04 1.72970000e-04 9.00230000e-05 5.47840000e-05 2.68230000e-05 1.63210000e-05 7.38520000e-06] L1 = [ 0.00000000e+00 0.00000000e+00 1.16870000e+05 7.33930000e+04 4.54720000e+04 2.12580000e+04 1.18200000e+04 7.31600000e+03 4.87130000e+03 2.49920000e+03 1.91880000e+03 1.88220000e+03 1.45910000e+03 5.26040000e+02 2.47220000e+02 8.19110000e+01 3.64580000e+01 1.92070000e+01 1.12930000e+01 4.82800000e+00 2.47860000e+00 7.31840000e-01 3.08810000e-01 9.39240000e-02 4.18850000e-02 2.31230000e-02 1.46010000e-02 7.45710000e-03 4.64060000e-03 2.16110000e-03] JK = 7.40750204415 M1 = [ 2.67870000e+04 2.32070000e+04 2.28810000e+04 1.28330000e+04 7.36820000e+03 3.23460000e+03 1.75330000e+03 1.07230000e+03 7.09350000e+02 3.61710000e+02 2.77320000e+02 2.72020000e+02 2.10660000e+02 7.58760000e+01 3.57090000e+01 1.18700000e+01 5.29680000e+00 2.79590000e+00 1.64450000e+00 7.04430000e-01 3.62130000e-01 1.07140000e-01 4.52630000e-02 1.37840000e-02 6.15010000e-03 3.39550000e-03 2.14440000e-03 1.09530000e-03 6.81580000e-04 3.17420000e-04] all other = [ 6.30760000e+02 5.44250000e+02 5.36380000e+02 2.96260000e+02 1.68970000e+02 7.36430000e+01 4.01480000e+01 2.45160000e+01 1.62040000e+01 8.25630000e+00 6.32900000e+00 6.20780000e+00 4.80690000e+00 1.73090000e+00 8.14590000e-01 2.70800000e-01 1.20840000e-01 6.37830000e-02 3.75560000e-02 1.60900000e-02 8.27260000e-03 2.44800000e-03 1.03430000e-03 3.15030000e-04 1.40610000e-04 7.76640000e-05 4.90800000e-05 2.51130000e-05 1.56710000e-05 7.38140000e-06] total = [ 1.11480000e+06 8.92200000e+05 9.90810000e+05 4.65700000e+05 2.26790000e+05 7.86010000e+04 3.62890000e+04 1.97280000e+04 1.19240000e+04 5.34120000e+03 3.91360000e+03 2.89900000e+04 2.26260000e+04 7.71060000e+03 3.49050000e+03 1.10330000e+03 4.77090000e+02 2.46440000e+02 1.42830000e+02 5.98910000e+01 3.03640000e+01 8.80550000e+00 3.68030000e+00 1.10860000e+00 4.92150000e-01 2.71020000e-01 1.70930000e-01 8.72160000e-02 5.42680000e-02 2.52890000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.51640000e+04 1.97800000e+04 6.81640000e+03 3.10150000e+03 9.84900000e+02 4.26740000e+02 2.20660000e+02 1.27970000e+02 5.36970000e+01 2.72330000e+01 7.89990000e+00 3.30210000e+00 9.94730000e-01 4.41600000e-01 2.43190000e-01 1.53390000e-01 7.82800000e-02 4.87160000e-02 2.27090000e-02] [Cu.binding] K = 8.9433 L1 = 1.0862 M5 = 0.0098 M4 = 0.0101 M1 = 0.1213 L3 = 0.9375 M3 = 0.0779 M2 = 0.0805 L2 = 0.9586 [La] JL1 = 1.13058078303 JL3 = 2.82031776392 JL2 = 1.3357485735 energy = [ 1.00000000e+00 1.12160000e+00 1.13050000e+00 1.20380000e+00 1.21340000e+00 1.34940000e+00 1.36020000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 5.47810000e+00 5.52200000e+00 5.89680000e+00 5.94400000e+00 6.00000000e+00 6.23630000e+00 6.28620000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 3.89080000e+01 3.92200000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.73600824974 M5 = [ 1.01290000e+06 7.74180000e+05 7.59520000e+05 6.51770000e+05 6.39040000e+05 4.93160000e+05 4.83400000e+05 3.74310000e+05 1.67650000e+05 4.94750000e+04 1.96850000e+04 9.34550000e+03 6.83730000e+03 6.65200000e+03 5.30030000e+03 5.15530000e+03 4.98950000e+03 4.35900000e+03 4.23870000e+03 1.79560000e+03 7.92140000e+02 1.69430000e+02 5.45270000e+01 1.05530000e+01 3.60230000e+00 3.48480000e+00 3.21050000e+00 1.26340000e+00 5.87920000e-01 1.75850000e-01 6.93410000e-02 1.31870000e-02 4.22790000e-03 9.27250000e-04 3.41090000e-04 1.66200000e-04 9.65000000e-05 4.45790000e-05 2.52330000e-05 1.08640000e-05] M4 = [ 6.92050000e+05 5.31020000e+05 5.21140000e+05 4.48330000e+05 4.39700000e+05 3.40150000e+05 3.33510000e+05 2.59720000e+05 1.17370000e+05 3.50540000e+04 1.40700000e+04 6.72920000e+03 4.93920000e+03 4.80660000e+03 3.83840000e+03 3.73450000e+03 3.61570000e+03 3.16340000e+03 3.07700000e+03 1.31520000e+03 5.85500000e+02 1.27580000e+02 4.16920000e+01 8.27080000e+00 2.87500000e+00 2.78280000e+00 2.56750000e+00 1.02790000e+00 4.85420000e-01 1.48750000e-01 5.97670000e-02 1.17150000e-02 3.80920000e-03 8.34280000e-04 3.03740000e-04 1.44340000e-04 8.06490000e-05 3.43370000e-05 1.90340000e-05 7.11410000e-06] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.83250000e+04 5.25350000e+04 3.48870000e+04 1.84000000e+04 1.11720000e+04 7.43970000e+03 6.26820000e+03 6.17470000e+03 5.45350000e+03 5.37130000e+03 5.27610000e+03 4.89930000e+03 4.82450000e+03 3.00760000e+03 1.91480000e+03 8.13440000e+02 4.30640000e+02 1.68650000e+02 9.01750000e+01 8.84330000e+01 8.42680000e+01 4.84140000e+01 3.04800000e+01 1.44440000e+01 7.99420000e+00 2.67480000e+00 1.22140000e+00 4.08920000e-01 1.92740000e-01 1.10040000e-01 7.09830000e-02 3.70110000e-02 2.31520000e-02 1.06640000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 2.34970000e+05 2.20850000e+05 2.19230000e+05 1.91380000e+05 1.89130000e+05 1.62890000e+05 1.02970000e+05 4.75490000e+04 2.57440000e+04 1.54590000e+04 1.24420000e+04 1.22060000e+04 1.04160000e+04 1.02150000e+04 9.98350000e+03 9.07830000e+03 8.90090000e+03 4.83220000e+03 2.67650000e+03 8.62500000e+02 3.69870000e+02 1.06250000e+02 4.63870000e+01 4.52080000e+01 4.24210000e+01 2.04820000e+01 1.12030000e+01 4.27400000e+00 2.01230000e+00 5.12510000e-01 1.97020000e-01 5.37150000e-02 2.25520000e-02 1.19460000e-02 7.33090000e-03 3.59920000e-03 2.17390000e-03 9.59500000e-04] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.39490000e+04 8.52950000e+04 8.45820000e+04 7.47850000e+04 4.98860000e+04 2.45380000e+04 1.37750000e+04 8.48970000e+03 6.90560000e+03 6.78030000e+03 5.82480000e+03 5.71770000e+03 5.59390000e+03 5.10950000e+03 5.01430000e+03 2.79240000e+03 1.58340000e+03 5.32820000e+02 2.35910000e+02 7.11170000e+01 3.20990000e+01 3.13170000e+01 2.94630000e+01 1.46670000e+01 8.23620000e+00 3.28350000e+00 1.60260000e+00 4.36810000e-01 1.76060000e-01 5.08820000e-02 2.19970000e-02 1.18620000e-02 7.32060000e-03 3.58190000e-03 2.14490000e-03 9.28860000e-04] total = [ 2.09410000e+06 1.61850000e+06 1.82410000e+06 1.59380000e+06 1.66050000e+06 1.32710000e+06 1.36250000e+06 1.09870000e+06 5.66650000e+05 2.12200000e+05 1.03150000e+05 5.82810000e+04 4.60090000e+04 1.29760000e+05 1.10410000e+05 1.47480000e+05 1.44700000e+05 1.31030000e+05 1.48140000e+05 8.05390000e+04 4.46800000e+04 1.50590000e+04 6.85040000e+03 2.21800000e+03 1.06670000e+03 6.11860000e+03 5.80230000e+03 3.22730000e+03 1.97730000e+03 8.98090000e+02 4.82010000e+02 1.53380000e+02 6.79810000e+01 2.20340000e+01 1.02210000e+01 5.78890000e+00 3.71750000e+00 1.93160000e+00 1.20760000e+00 5.57170000e-01] JM2 = 1.04184966746 JM3 = 1.12703120173 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.07570000e+03 4.81590000e+03 2.70370000e+03 1.66610000e+03 7.61720000e+02 4.10280000e+02 1.31080000e+02 5.81880000e+01 1.88850000e+01 8.76730000e+00 4.96880000e+00 3.19290000e+00 1.66080000e+00 1.03920000e+00 4.80170000e-01] JM1 = 1.02667470424 M = [ 1.70490000e+06 1.30520000e+06 1.51560000e+06 1.32100000e+06 1.39190000e+06 1.11000000e+06 1.14890000e+06 9.24250000e+05 4.72760000e+05 1.75020000e+05 8.44460000e+04 4.74630000e+04 3.73920000e+04 3.66200000e+04 3.08330000e+04 3.01940000e+04 2.94590000e+04 2.66100000e+04 2.60550000e+04 1.37430000e+04 7.55230000e+03 2.50580000e+03 1.13260000e+03 3.64840000e+02 1.75140000e+02 1.71230000e+02 1.61930000e+02 8.58550000e+01 5.09920000e+01 2.23260000e+01 1.17380000e+01 3.64900000e+00 1.60260000e+00 5.15280000e-01 2.37940000e-01 1.34160000e-01 8.58120000e-02 4.42710000e-02 2.75150000e-02 1.25700000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.46960000e+04 7.24200000e+04 1.10270000e+05 1.08380000e+05 9.82050000e+04 1.15990000e+05 6.35070000e+04 3.52870000e+04 1.19260000e+04 5.42900000e+03 1.75830000e+03 8.45560000e+02 8.26700000e+02 7.81910000e+02 4.15030000e+02 2.46650000e+02 1.08060000e+02 5.68270000e+01 1.76640000e+01 7.75500000e+00 2.49260000e+00 1.15080000e+00 6.49160000e-01 4.15330000e-01 2.14400000e-01 1.33320000e-01 6.09760000e-02] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.94130000e+04 3.92790000e+04 3.56090000e+04 3.48100000e+04 1.86360000e+04 9.98500000e+03 3.10800000e+03 1.31030000e+03 3.73390000e+02 1.63650000e+02 1.59530000e+02 1.49770000e+02 7.30050000e+01 4.03870000e+01 1.57850000e+01 7.60690000e+00 2.03630000e+00 8.13030000e-01 2.32750000e-01 1.00170000e-01 5.37630000e-02 3.31100000e-02 1.61700000e-02 9.66780000e-03 4.18970000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.46960000e+04 7.24200000e+04 7.08530000e+04 6.91020000e+04 6.25970000e+04 6.13450000e+04 3.16270000e+04 1.65620000e+04 4.92480000e+03 2.01240000e+03 5.46810000e+02 2.31870000e+02 2.25790000e+02 2.11460000e+02 1.00010000e+02 5.39130000e+01 2.01760000e+01 9.38370000e+00 2.34860000e+00 8.94570000e-01 2.41630000e-01 1.00970000e-01 5.34680000e-02 3.27810000e-02 1.60650000e-02 9.69700000e-03 4.27200000e-03] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.98410000e+04 1.32440000e+04 8.74010000e+03 3.89280000e+03 2.10630000e+03 8.38140000e+02 4.50040000e+02 4.41380000e+02 4.20680000e+02 2.42020000e+02 1.52350000e+02 7.21020000e+01 3.98370000e+01 1.32790000e+01 6.04740000e+00 2.01820000e+00 9.49670000e-01 5.41930000e-01 3.49440000e-01 1.82160000e-01 1.13960000e-01 5.25140000e-02] all other = [ 3.89140000e+05 3.13300000e+05 3.08510000e+05 2.72890000e+05 2.68630000e+05 2.17080000e+05 2.13580000e+05 1.74490000e+05 9.38890000e+04 3.71870000e+04 1.87060000e+04 1.08180000e+04 8.61660000e+03 8.44630000e+03 7.16230000e+03 7.01980000e+03 6.85560000e+03 6.21810000e+03 6.09380000e+03 3.28900000e+03 1.84040000e+03 6.28130000e+02 2.88740000e+02 9.48360000e+01 4.59830000e+01 4.49690000e+01 4.25570000e+01 2.27290000e+01 1.35710000e+01 5.98470000e+00 3.16070000e+00 9.89020000e-01 4.35930000e-01 1.40710000e-01 6.50950000e-02 3.67570000e-02 2.35290000e-02 1.21490000e-02 7.55480000e-03 3.45470000e-03] [La.binding] K = 38.9472 L1 = 6.2425 M5 = 0.8471 M4 = 0.8649 M1 = 1.3507 L3 = 5.4836 M3 = 1.1227 M2 = 1.205 L2 = 5.9026 [Li] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] L = [ 3.72190000e+01 1.07300000e+01 4.32210000e+00 1.18860000e+00 4.66070000e-01 2.24830000e-01 1.22980000e-01 4.74120000e-02 2.25160000e-02 5.77240000e-03 2.18600000e-03 5.53400000e-04 2.08270000e-04 9.75560000e-05 5.25020000e-05 1.97860000e-05 9.30790000e-06 2.39540000e-06 9.30940000e-07 2.57610000e-07 1.09130000e-07 5.84980000e-08 3.63480000e-08 1.83880000e-08 1.15230000e-08 5.63600000e-09] L1 = [ 3.72190000e+01 1.07300000e+01 4.32210000e+00 1.18860000e+00 4.66070000e-01 2.24830000e-01 1.22980000e-01 4.74120000e-02 2.25160000e-02 5.77240000e-03 2.18600000e-03 5.53400000e-04 2.08270000e-04 9.75560000e-05 5.25020000e-05 1.97860000e-05 9.30790000e-06 2.39540000e-06 9.30940000e-07 2.57610000e-07 1.09130000e-07 5.84980000e-08 3.63480000e-08 1.83880000e-08 1.15230000e-08 5.63600000e-09] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 2.69090000e+03 7.64110000e+02 3.07970000e+02 8.35430000e+01 3.27300000e+01 1.57120000e+01 8.60320000e+00 3.30500000e+00 1.56740000e+00 4.01010000e-01 1.51690000e-01 3.84180000e-02 1.44570000e-02 6.77080000e-03 3.64420000e-03 1.37360000e-03 6.46460000e-04 1.66550000e-04 6.48080000e-05 1.79610000e-05 7.61560000e-06 4.08150000e-06 2.53380000e-06 1.27630000e-06 7.93890000e-07 3.76440000e-07] K = [ 2.65360000e+03 7.53380000e+02 3.03650000e+02 8.23540000e+01 3.22640000e+01 1.54870000e+01 8.48020000e+00 3.25760000e+00 1.54490000e+00 3.95230000e-01 1.49510000e-01 3.78650000e-02 1.42480000e-02 6.67330000e-03 3.59170000e-03 1.35380000e-03 6.37150000e-04 1.64150000e-04 6.38770000e-05 1.77040000e-05 7.50650000e-06 4.02300000e-06 2.49750000e-06 1.25790000e-06 7.82370000e-07 3.70800000e-07] [Li.binding] K = 0.0598 L1 = 0.0055 [Tl] JL1 = 1.13224718386 JL3 = 2.46573746247 JL2 = 1.36567564667 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.39120000e+00 2.41030000e+00 2.49110000e+00 2.51110000e+00 2.94160000e+00 2.96510000e+00 3.00000000e+00 3.40700000e+00 3.43430000e+00 3.67750000e+00 3.70700000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.26470000e+01 1.27480000e+01 1.47320000e+01 1.48500000e+01 1.50000000e+01 1.53240000e+01 1.54460000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 8.57670000e+01 8.64540000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.68357005474 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.70110000e+05 4.38760000e+05 4.32360000e+05 2.88280000e+05 2.82030000e+05 2.73080000e+05 1.91480000e+05 1.87230000e+05 1.55440000e+05 1.52100000e+05 1.22980000e+05 6.37200000e+04 3.64140000e+04 1.45730000e+04 6.96050000e+03 3.11920000e+03 3.03400000e+03 1.82770000e+03 1.77680000e+03 1.71480000e+03 1.58970000e+03 1.54530000e+03 6.08800000e+02 1.34460000e+02 4.46790000e+01 1.87560000e+01 9.17050000e+00 2.94870000e+00 2.24010000e+00 2.17070000e+00 1.22270000e+00 2.51460000e-01 8.41830000e-02 1.94230000e-02 7.34540000e-03 3.62770000e-03 2.11070000e-03 9.56020000e-04 5.51560000e-04 2.22010000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.18570000e+05 2.06520000e+05 2.02190000e+05 1.95970000e+05 1.38510000e+05 1.35490000e+05 1.12040000e+05 1.10030000e+05 8.96030000e+04 4.70800000e+04 2.72210000e+04 1.10990000e+04 5.38110000e+03 2.45150000e+03 2.38590000e+03 1.45260000e+03 1.41300000e+03 1.36470000e+03 1.26710000e+03 1.23240000e+03 4.95590000e+02 1.13400000e+02 3.87420000e+01 1.66430000e+01 8.29930000e+00 2.75570000e+00 2.10990000e+00 2.04640000e+00 1.17160000e+00 2.51400000e-01 8.61810000e-02 2.02080000e-02 7.59470000e-03 3.68890000e-03 2.10120000e-03 9.23300000e-04 5.08380000e-04 1.97960000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.02470000e+04 1.83530000e+04 1.34200000e+04 1.02510000e+04 6.40570000e+03 4.33270000e+03 2.81490000e+03 2.77330000e+03 2.10470000e+03 2.07260000e+03 2.03280000e+03 1.95050000e+03 1.92070000e+03 1.15070000e+03 4.94560000e+02 2.64130000e+02 1.59830000e+02 1.04980000e+02 5.31580000e+01 4.49560000e+01 4.40980000e+01 3.09490000e+01 1.13200000e+01 5.49000000e+00 1.98810000e+00 9.83910000e-01 5.80260000e-01 3.82410000e-01 2.04110000e-01 1.28780000e-01 5.91300000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.04330000e+05 1.03130000e+05 8.55140000e+04 8.44090000e+04 7.49010000e+04 7.38250000e+04 6.42170000e+04 4.29520000e+04 2.98780000e+04 1.62400000e+04 9.78470000e+03 5.58150000e+03 5.47340000e+03 3.81740000e+03 3.74140000e+03 3.64780000e+03 3.45550000e+03 3.38610000e+03 1.72640000e+03 5.66400000e+02 2.47250000e+02 1.27520000e+02 7.34360000e+01 3.02500000e+01 2.43490000e+01 2.37500000e+01 1.50510000e+01 4.19270000e+00 1.70090000e+00 4.92650000e-01 2.12840000e-01 1.14570000e-01 7.07440000e-02 3.47010000e-02 2.07350000e-02 8.95180000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.24930000e+04 3.05700000e+04 3.03500000e+04 2.77850000e+04 1.99120000e+04 1.50030000e+04 8.88390000e+03 5.68610000e+03 3.43800000e+03 3.37770000e+03 2.43930000e+03 2.39520000e+03 2.34060000e+03 2.22800000e+03 2.18710000e+03 1.18350000e+03 4.25530000e+02 1.98320000e+02 1.07720000e+02 6.47680000e+01 2.86040000e+01 2.34230000e+01 2.28920000e+01 1.50410000e+01 4.64000000e+00 2.02170000e+00 6.42800000e-01 2.93940000e-01 1.64180000e-01 1.03970000e-01 5.26600000e-02 3.22430000e-02 1.43500000e-02] total = [ 1.69550000e+06 7.62660000e+05 4.13960000e+05 2.79270000e+05 4.44450000e+05 6.93590000e+05 8.01230000e+05 6.69620000e+05 7.60200000e+05 7.39290000e+05 5.40000000e+05 5.61830000e+05 4.77070000e+05 4.88740000e+05 4.08330000e+05 2.37120000e+05 1.50840000e+05 7.29080000e+04 4.10890000e+04 2.23130000e+04 5.50180000e+04 3.72680000e+04 5.08960000e+04 4.96680000e+04 4.71390000e+04 5.33730000e+04 2.75710000e+04 9.45160000e+03 4.36330000e+03 2.38020000e+03 1.44570000e+03 6.55210000e+02 5.40720000e+02 2.53250000e+03 1.72740000e+03 5.96990000e+02 2.77750000e+02 9.58730000e+01 4.62940000e+01 2.69420000e+01 1.76260000e+01 9.34890000e+00 5.88990000e+00 2.70900000e+00] JM2 = 1.04042592593 JM3 = 1.13527075057 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 2003.5 1373.6 481.52 225.24 78.149 37.849 22.078 14.472 7.6983 4.86 2.2415] JM1 = 1.02446181902 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.70110000e+05 4.38760000e+05 5.50920000e+05 4.94800000e+05 5.88550000e+05 5.72190000e+05 4.15500000e+05 4.39620000e+05 3.72950000e+05 3.86550000e+05 3.22940000e+05 1.87080000e+05 1.18770000e+05 5.72010000e+04 3.21450000e+04 1.74050000e+04 1.70440000e+04 1.16420000e+04 1.13990000e+04 1.11010000e+04 1.04910000e+04 1.02720000e+04 5.16500000e+03 1.73430000e+03 7.93110000e+02 4.30460000e+02 2.60650000e+02 1.17720000e+02 9.70780000e+01 9.49570000e+01 6.34360000e+01 2.06560000e+01 9.38290000e+00 3.16320000e+00 1.50560000e+00 8.66330000e-01 5.61340000e-01 2.93350000e-01 1.82810000e-01 8.28520000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.31660000e+04 2.23170000e+04 3.62550000e+04 3.54080000e+04 3.36600000e+04 4.01740000e+04 2.09150000e+04 7.20810000e+03 3.33500000e+03 1.82110000e+03 1.10680000e+03 5.01860000e+02 4.14210000e+02 4.05190000e+02 2.71040000e+02 8.84750000e+01 4.02350000e+01 1.35820000e+01 6.47220000e+00 3.72820000e+00 2.41820000e+00 1.26590000e+00 7.90130000e-01 3.58810000e-01] JM4 = 1.15519254891 JM5 = 1.59147061983 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.44020000e+04 1.41240000e+04 1.35430000e+04 1.32370000e+04 6.82070000e+03 2.25180000e+03 9.97490000e+02 5.23490000e+02 3.06900000e+02 1.30920000e+02 1.06390000e+02 1.03890000e+02 6.72750000e+01 2.00680000e+01 8.58610000e+00 2.67860000e+00 1.21330000e+00 6.73950000e-01 4.25350000e-01 2.14630000e-01 1.30970000e-01 5.81810000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.31660000e+04 2.23170000e+04 2.18530000e+04 2.12840000e+04 2.01160000e+04 1.96940000e+04 9.46500000e+03 2.85110000e+03 1.18200000e+03 5.88750000e+02 3.30660000e+02 1.31650000e+02 1.05190000e+02 1.02520000e+02 6.40580000e+01 1.72810000e+01 6.89150000e+00 1.96170000e+00 8.40440000e-01 4.50320000e-01 2.77280000e-01 1.35600000e-01 8.11430000e-02 3.49640000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.24210000e+03 4.62970000e+03 2.10520000e+03 1.15550000e+03 7.08890000e+02 4.69220000e+02 2.39300000e+02 2.02620000e+02 1.98770000e+02 1.39710000e+02 5.11250000e+01 2.47580000e+01 8.94150000e+00 4.41850000e+00 2.60390000e+00 1.71560000e+00 9.15720000e-01 5.78010000e-01 2.65670000e-01] all other = [ 1.69550000e+06 7.62660000e+05 4.13960000e+05 2.79270000e+05 2.74340000e+05 2.54830000e+05 2.50310000e+05 1.74820000e+05 1.71650000e+05 1.67110000e+05 1.24510000e+05 1.22210000e+05 1.04120000e+05 1.02180000e+05 8.53880000e+04 5.00340000e+04 3.20770000e+04 1.57070000e+04 8.94400000e+03 4.90820000e+03 4.80860000e+03 3.31010000e+03 3.24240000e+03 3.15930000e+03 2.98900000e+03 2.92770000e+03 1.49080000e+03 5.09100000e+02 2.35180000e+02 1.28600000e+02 7.82900000e+01 3.56350000e+01 2.94360000e+01 2.87980000e+01 1.93010000e+01 6.33410000e+00 2.89010000e+00 9.79150000e-01 4.67170000e-01 2.69210000e-01 1.74610000e-01 9.13520000e-02 5.69650000e-02 2.58310000e-02] [Tl.binding] K = 85.8527 L1 = 15.3391 M5 = 2.3936 M4 = 2.4936 M1 = 3.6812 L3 = 12.6596 M3 = 2.9445 M2 = 3.4104 L2 = 14.7472 [Tm] JL1 = 1.13212637835 JL3 = 2.62469757089 JL2 = 1.34760572388 energy = [ 1.00000000e+00 1.46810000e+00 1.47990000e+00 1.50000000e+00 1.51450000e+00 1.52660000e+00 1.86320000e+00 1.87810000e+00 2.00000000e+00 2.07360000e+00 2.09020000e+00 2.27610000e+00 2.29430000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 8.62920000e+00 8.69830000e+00 9.62020000e+00 9.69730000e+00 1.00000000e+01 1.00730000e+01 1.01540000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 5.94440000e+01 5.99200000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.20666431307 M5 = [ 0.00000000e+00 0.00000000e+00 3.33240000e+05 7.38850000e+05 8.04570000e+05 8.08690000e+05 4.86550000e+05 4.76530000e+05 4.04210000e+05 3.67470000e+05 3.59790000e+05 2.88860000e+05 2.82820000e+05 1.33620000e+05 5.65850000e+04 2.81210000e+04 1.55810000e+04 5.93370000e+03 4.57280000e+03 4.44830000e+03 3.12980000e+03 3.04330000e+03 2.73130000e+03 2.66190000e+03 2.58800000e+03 6.30670000e+02 2.14230000e+02 4.45110000e+01 1.41890000e+01 5.77780000e+00 2.86560000e+00 2.77420000e+00 2.75930000e+00 8.56980000e-01 3.46670000e-01 6.85950000e-02 2.25130000e-02 5.06580000e-03 1.89610000e-03 9.24180000e-04 5.38990000e-04 2.46950000e-04 1.41380000e-04 5.92430000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.04260000e+05 3.40180000e+05 3.33280000e+05 2.83410000e+05 2.58030000e+05 2.52720000e+05 2.03460000e+05 1.99210000e+05 9.53630000e+04 4.09300000e+04 2.05480000e+04 1.14820000e+04 4.43530000e+03 3.43090000e+03 3.33890000e+03 2.36190000e+03 2.29760000e+03 2.06530000e+03 2.01360000e+03 1.95860000e+03 4.88210000e+02 1.68950000e+02 3.61630000e+01 1.18050000e+01 4.90400000e+00 2.47200000e+00 2.39500000e+00 2.38240000e+00 7.61000000e-01 3.14680000e-01 6.45810000e-02 2.16010000e-02 4.89630000e-03 1.80580000e-03 8.65670000e-04 4.93030000e-04 2.11530000e-04 1.17450000e-04 4.45480000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.50970000e+04 2.44160000e+04 1.59120000e+04 1.10090000e+04 8.02300000e+03 4.75900000e+03 4.12930000e+03 4.06730000e+03 3.35470000e+03 3.30380000e+03 3.11390000e+03 3.07040000e+03 3.02340000e+03 1.38670000e+03 7.59210000e+02 3.12260000e+02 1.61620000e+02 9.54430000e+01 6.28590000e+01 6.16480000e+01 6.14490000e+01 3.01530000e+01 1.71360000e+01 6.00300000e+00 2.82630000e+00 9.84090000e-01 4.75060000e-01 2.75560000e-01 1.79600000e-01 9.46380000e-02 5.94230000e-02 2.73080000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.65430000e+05 1.47220000e+05 1.40610000e+05 1.39040000e+05 1.21740000e+05 1.20150000e+05 7.67920000e+04 4.47490000e+04 2.82720000e+04 1.89930000e+04 9.76870000e+03 8.13800000e+03 7.98130000e+03 6.23030000e+03 6.10800000e+03 5.65670000e+03 5.55410000e+03 5.44390000e+03 1.96840000e+03 8.89910000e+02 2.74470000e+02 1.14880000e+02 5.74300000e+01 3.32440000e+01 3.24110000e+01 3.22740000e+01 1.28180000e+01 6.21120000e+00 1.65710000e+00 6.55060000e-01 1.84240000e-01 7.84870000e-02 4.19740000e-02 2.58200000e-02 1.26580000e-02 7.62530000e-03 3.32090000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.82810000e+04 5.21300000e+04 5.16830000e+04 3.56230000e+04 2.24990000e+04 1.49280000e+04 1.03930000e+04 5.61710000e+03 4.74020000e+03 4.65560000e+03 3.69460000e+03 3.62660000e+03 3.37510000e+03 3.31790000e+03 3.25630000e+03 1.25350000e+03 5.93120000e+02 1.95410000e+02 8.58980000e+01 4.46770000e+01 2.66980000e+01 2.60680000e+01 2.59650000e+01 1.08970000e+01 5.52040000e+00 1.60050000e+00 6.70660000e-01 2.03240000e-01 9.03240000e-02 4.95040000e-02 3.09590000e-02 1.54240000e-02 9.33610000e-03 4.10190000e-03] total = [ 8.10250000e+05 3.79040000e+05 7.06080000e+05 1.10140000e+06 1.16000000e+06 1.36250000e+06 1.05590000e+06 1.20050000e+06 1.03130000e+06 9.47600000e+05 9.88180000e+05 8.13860000e+05 8.34020000e+05 4.44610000e+05 2.20690000e+05 1.26210000e+05 7.93740000e+04 3.77690000e+04 3.09990000e+04 8.13630000e+04 6.25450000e+04 8.42860000e+04 7.82470000e+04 7.67220000e+04 8.68590000e+04 3.16980000e+04 1.47550000e+04 4.90880000e+03 2.22200000e+03 1.19470000e+03 7.36460000e+02 3.83450000e+03 3.81560000e+03 1.79460000e+03 9.85360000e+02 3.25800000e+02 1.47910000e+02 4.94250000e+01 2.33730000e+01 1.34100000e+01 8.68770000e+00 4.55680000e+00 2.85850000e+00 1.31600000e+00] JM2 = 1.04282397636 JM3 = 1.13694478644 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.11430000e+03 3.09810000e+03 1.47500000e+03 8.15060000e+02 2.71550000e+02 1.23660000e+02 4.14370000e+01 1.96270000e+01 1.12750000e+01 7.31260000e+00 3.84260000e+00 2.41380000e+00 1.11360000e+00] JM1 = 1.02477084511 M = [ 0.00000000e+00 0.00000000e+00 3.33240000e+05 7.38850000e+05 8.04570000e+05 1.01300000e+06 8.26730000e+05 9.75240000e+05 8.34840000e+05 7.66110000e+05 8.09840000e+05 6.66190000e+05 6.88960000e+05 3.65810000e+05 1.80670000e+05 1.02880000e+05 6.44720000e+04 3.05140000e+04 2.50110000e+04 2.44910000e+04 1.87710000e+04 1.83790000e+04 1.69420000e+04 1.66180000e+04 1.62700000e+04 5.72740000e+03 2.62540000e+03 8.62810000e+02 3.88390000e+02 2.08230000e+02 1.28140000e+02 1.25300000e+02 1.24830000e+02 5.54860000e+01 2.95290000e+01 9.39380000e+00 4.19620000e+00 1.38150000e+00 6.47570000e-01 3.68830000e-01 2.37410000e-01 1.23180000e-01 7.66430000e-02 3.48350000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.10040000e+04 3.92360000e+04 6.14610000e+04 5.71950000e+04 5.60710000e+04 6.66370000e+04 2.45380000e+04 1.14610000e+04 3.82120000e+03 1.73110000e+03 9.31040000e+02 5.74010000e+02 5.61320000e+02 5.59230000e+02 2.49140000e+02 1.32750000e+02 4.22870000e+01 1.88980000e+01 6.22500000e+00 2.91930000e+00 1.66370000e+00 1.07170000e+00 5.56720000e-01 3.46720000e-01 1.57840000e-01] JM4 = 1.17456896552 JM5 = 1.86281131279 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.30360000e+04 2.17110000e+04 2.12500000e+04 2.07610000e+04 7.41580000e+03 3.30570000e+03 1.01430000e+03 4.27190000e+02 2.16020000e+02 1.26610000e+02 1.23520000e+02 1.23010000e+02 5.02200000e+01 2.49920000e+01 7.06270000e+00 2.91930000e+00 8.72250000e-01 3.84960000e-01 2.10150000e-01 1.31110000e-01 6.50310000e-02 3.93110000e-02 1.72170000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.10040000e+04 3.92360000e+04 3.84250000e+04 3.54850000e+04 3.48210000e+04 3.41070000e+04 1.12410000e+04 4.79450000e+03 1.37620000e+03 5.52490000e+02 2.68560000e+02 1.52540000e+02 1.48600000e+02 1.47950000e+02 5.72090000e+01 2.72490000e+01 7.09410000e+00 2.76820000e+00 7.68410000e-01 3.25270000e-01 1.73330000e-01 1.06600000e-01 5.21770000e-02 3.13840000e-02 1.36940000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.17690000e+04 5.88090000e+03 3.36020000e+03 1.43080000e+03 7.51400000e+02 4.46460000e+02 2.94860000e+02 2.89200000e+02 2.88270000e+02 1.41710000e+02 8.05100000e+01 2.81300000e+01 1.32110000e+01 4.58430000e+00 2.20910000e+00 1.28020000e+00 8.34000000e-01 4.39510000e-01 2.76020000e-01 1.26930000e-01] all other = [ 8.10250000e+05 3.79040000e+05 3.72850000e+05 3.62580000e+05 3.55430000e+05 3.49590000e+05 2.29140000e+05 2.25230000e+05 1.96450000e+05 1.81490000e+05 1.78340000e+05 1.47670000e+05 1.45060000e+05 7.87900000e+04 4.00160000e+04 2.33300000e+04 1.49030000e+04 7.25480000e+03 5.98810000e+03 5.86790000e+03 4.53790000e+03 4.44620000e+03 4.10930000e+03 4.03310000e+03 3.95130000e+03 1.43280000e+03 6.68990000e+02 2.24750000e+02 1.02490000e+02 5.54230000e+01 3.43090000e+01 3.35570000e+01 3.34330000e+01 1.49890000e+01 8.02170000e+00 2.57300000e+00 1.15460000e+00 3.82010000e-01 1.79520000e-01 1.02400000e-01 6.59890000e-02 3.42790000e-02 2.13420000e-02 9.70730000e-03] [Tm.binding] K = 59.5037 L1 = 10.0832 M5 = 1.4696 M4 = 1.516 M1 = 2.2783 L3 = 8.6378 M3 = 1.8651 M2 = 2.0757 L2 = 9.6299 [Th] JL1 = 1.13320428286 JL3 = 2.35993085759 JL2 = 1.38601764384 energy = [ 1.00000000e+00 1.16160000e+00 1.17090000e+00 1.31120000e+00 1.32170000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.33460000e+00 3.36130000e+00 3.49860000e+00 3.52660000e+00 4.00000000e+00 4.03180000e+00 4.06410000e+00 4.82790000e+00 4.86650000e+00 5.00000000e+00 5.15910000e+00 5.20040000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.62980000e+01 1.64280000e+01 1.97620000e+01 1.99200000e+01 2.00000000e+01 2.04820000e+01 2.06460000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.10140000e+02 1.11020000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.25138046528 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.09010000e+05 2.73930000e+05 2.68380000e+05 1.95990000e+05 1.91830000e+05 1.87690000e+05 1.14630000e+05 1.11980000e+05 1.03470000e+05 9.48150000e+04 9.26960000e+04 6.05580000e+04 2.51090000e+04 1.22980000e+04 3.16720000e+03 2.37860000e+03 2.31350000e+03 1.20900000e+03 1.17520000e+03 1.15860000e+03 1.06450000e+03 1.03470000e+03 2.66360000e+02 9.09750000e+01 3.89870000e+01 1.93740000e+01 6.37660000e+00 2.69160000e+00 1.85410000e+00 1.79790000e+00 5.67740000e-01 1.93560000e-01 4.52290000e-02 1.72030000e-02 8.56730000e-03 4.98790000e-03 2.26480000e-03 1.28960000e-03 5.29300000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.96550000e+05 1.42570000e+05 1.39760000e+05 1.36960000e+05 8.52360000e+04 8.33150000e+04 7.70990000e+04 7.03180000e+04 6.88120000e+04 4.57830000e+04 1.93570000e+04 9.65070000e+03 2.57070000e+03 1.94490000e+03 1.89320000e+03 1.00620000e+03 9.78820000e+02 9.65380000e+02 8.88970000e+02 8.64680000e+02 2.30980000e+02 8.13970000e+01 3.57870000e+01 1.81750000e+01 6.19740000e+00 2.68880000e+00 1.87400000e+00 1.81900000e+00 5.94470000e-01 2.08260000e-01 4.97500000e-02 1.89090000e-02 9.33720000e-03 5.35680000e-03 2.35290000e-03 1.32370000e-03 5.11810000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.33460000e+04 1.10040000e+04 7.21030000e+03 5.04850000e+03 2.49380000e+03 2.13860000e+03 2.10710000e+03 1.48520000e+03 1.46250000e+03 1.45130000e+03 1.38610000e+03 1.36480000e+03 6.46370000e+02 3.53240000e+02 2.17540000e+02 1.44900000e+02 7.50250000e+01 4.44380000e+01 3.53150000e+01 3.46490000e+01 1.67690000e+01 8.31260000e+00 3.10230000e+00 1.56600000e+00 9.36170000e-01 6.22780000e-01 3.36020000e-01 2.13040000e-01 9.78990000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.56180000e+04 5.77940000e+04 5.70170000e+04 5.43620000e+04 5.13090000e+04 5.05440000e+04 3.84540000e+04 2.17660000e+04 1.34890000e+04 5.27540000e+03 4.31020000e+03 4.22660000e+03 2.65880000e+03 2.60530000e+03 2.57890000e+03 2.42640000e+03 2.37720000e+03 8.82330000e+02 3.96210000e+02 2.08730000e+02 1.22240000e+02 5.16380000e+01 2.61700000e+01 1.94590000e+01 1.89880000e+01 7.51230000e+00 3.10510000e+00 9.17570000e-01 4.00210000e-01 2.16570000e-01 1.33920000e-01 6.55430000e-02 3.91110000e-02 1.66950000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.12190000e+04 2.08540000e+04 1.99450000e+04 1.97740000e+04 1.67790000e+04 1.08550000e+04 7.35430000e+03 3.30800000e+03 2.77630000e+03 2.72920000e+03 1.81720000e+03 1.78500000e+03 1.76900000e+03 1.67640000e+03 1.64630000e+03 6.81910000e+02 3.32590000e+02 1.86790000e+02 1.15290000e+02 5.29650000e+01 2.86650000e+01 2.19320000e+01 2.14510000e+01 9.27610000e+00 4.16710000e+00 1.37460000e+00 6.42490000e-01 3.64380000e-01 2.33170000e-01 1.19590000e-01 7.37880000e-02 3.32610000e-02] total = [ 2.54350000e+06 1.93320000e+06 1.93200000e+06 1.55430000e+06 1.56100000e+06 1.21320000e+06 6.66430000e+05 2.72520000e+05 2.14130000e+05 5.19260000e+05 4.65700000e+05 6.53210000e+05 4.79090000e+05 4.69540000e+05 5.35660000e+05 3.47830000e+05 3.62010000e+05 3.38740000e+05 3.13360000e+05 3.20690000e+05 2.26080000e+05 1.10740000e+05 6.30050000e+04 2.22400000e+04 1.79340000e+04 4.23230000e+04 2.56180000e+04 3.55070000e+04 3.50620000e+04 3.30620000e+04 3.74660000e+04 1.43720000e+04 6.75390000e+03 3.73110000e+03 2.28830000e+03 1.05230000e+03 5.74400000e+02 4.41880000e+02 1.87860000e+03 8.70180000e+02 4.13830000e+02 1.46680000e+02 7.20780000e+01 4.24680000e+01 2.80210000e+01 1.50080000e+01 9.49530000e+00 4.36900000e+00] JM2 = 1.04076704137 JM3 = 1.1408186736 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1446.2 679.05 325.71 116.36 57.454 33.97 22.478 12.089 7.6684 3.5397] JM1 = 1.02339162624 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.09010000e+05 2.73930000e+05 4.64930000e+05 3.38570000e+05 3.31590000e+05 4.00260000e+05 2.57660000e+05 2.73530000e+05 2.55790000e+05 2.36390000e+05 2.45170000e+05 1.72580000e+05 8.42970000e+04 4.78410000e+04 1.68150000e+04 1.35480000e+04 1.32700000e+04 8.17640000e+03 8.00680000e+03 7.92310000e+03 7.44240000e+03 7.28770000e+03 2.70800000e+03 1.25440000e+03 6.87830000e+02 4.19990000e+02 1.92200000e+02 1.04650000e+02 8.04340000e+01 7.87050000e+01 3.47190000e+01 1.59870000e+01 5.48940000e+00 2.64480000e+00 1.53500000e+00 1.00020000e+00 5.25770000e-01 3.28560000e-01 1.48900000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.47570000e+04 1.47750000e+04 2.48880000e+04 2.45540000e+04 2.31890000e+04 2.77980000e+04 1.07680000e+04 5.08090000e+03 2.81240000e+03 1.72670000e+03 7.94930000e+02 4.34100000e+02 3.33990000e+02 3.26830000e+02 1.44510000e+02 6.66360000e+01 2.29250000e+01 1.10640000e+01 6.43080000e+00 4.19630000e+00 2.21090000e+00 1.38410000e+00 6.28620000e-01] JM4 = 1.40264118531 JM5 = 2.42497548218 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.04260000e+04 1.02460000e+04 9.76860000e+03 9.61450000e+03 3.69460000e+03 1.70580000e+03 9.22600000e+02 5.53700000e+02 2.44400000e+02 1.28810000e+02 9.75250000e+01 9.53110000e+01 4.00690000e+01 1.76140000e+01 5.67910000e+00 2.62380000e+00 1.47830000e+00 9.42020000e-01 4.80930000e-01 2.96080000e-01 1.32960000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.47570000e+04 1.47750000e+04 1.44620000e+04 1.43080000e+04 1.34200000e+04 1.31330000e+04 4.48690000e+03 1.90240000e+03 9.63410000e+02 5.48220000e+02 2.22590000e+02 1.09920000e+02 8.09140000e+01 7.88920000e+01 3.03800000e+01 1.23040000e+01 3.56070000e+00 1.53740000e+00 8.27470000e-01 5.10000000e-01 2.48730000e-01 1.48440000e-01 6.33820000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.04980000e+03 2.58600000e+03 1.47270000e+03 9.26360000e+02 6.24810000e+02 3.27940000e+02 1.95370000e+02 1.55550000e+02 1.52630000e+02 7.40560000e+01 3.67180000e+01 1.36850000e+01 6.90230000e+00 4.12510000e+00 2.74420000e+00 1.48130000e+00 9.39620000e-01 4.32280000e-01] all other = [ 2.54350000e+06 1.93320000e+06 1.93200000e+06 1.55430000e+06 1.56100000e+06 1.21320000e+06 6.66430000e+05 2.72520000e+05 2.14130000e+05 2.10250000e+05 1.91770000e+05 1.88280000e+05 1.40520000e+05 1.37950000e+05 1.35390000e+05 9.01700000e+04 8.84740000e+04 8.29490000e+04 7.69710000e+04 7.55160000e+04 5.34980000e+04 2.64420000e+04 1.51640000e+04 5.42450000e+03 4.38530000e+03 4.29630000e+03 2.66690000e+03 2.61230000e+03 2.58540000e+03 2.43070000e+03 2.38090000e+03 8.96320000e+02 4.18690000e+02 2.30890000e+02 1.41600000e+02 6.52020000e+01 3.56500000e+01 2.74510000e+01 2.68640000e+01 1.19080000e+01 5.50330000e+00 1.89740000e+00 9.15920000e-01 5.32330000e-01 3.47120000e-01 1.82630000e-01 1.14180000e-01 5.17460000e-02] [Th.binding] K = 110.2496 L1 = 20.502 M5 = 3.3379 M4 = 3.5021 M1 = 5.1642 L3 = 16.3139 M3 = 4.0358 M2 = 4.8327 L2 = 19.7818 [Ti] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 4.93570000e+00 4.97520000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 1.06820000e+04 3.67960000e+03 1.64650000e+03 4.95210000e+02 2.01770000e+02 1.02530000e+02 9.98990000e+01 9.82930000e+01 5.39030000e+01 2.04170000e+01 9.43370000e+00 2.23060000e+00 7.81610000e-01 1.73670000e-01 5.88350000e-02 2.52910000e-02 1.26800000e-02 4.27790000e-03 1.85410000e-03 4.17270000e-04 1.49560000e-04 3.76140000e-05 1.49910000e-05 7.64900000e-06 4.55190000e-06 2.12130000e-06 1.23170000e-06 5.12680000e-07] M = [ 4.64480000e+04 1.73330000e+04 8.38090000e+03 2.90540000e+03 1.34030000e+03 7.54470000e+02 7.38100000e+02 7.28080000e+02 4.39780000e+02 1.96630000e+02 1.04450000e+02 3.24560000e+01 1.39620000e+01 4.16940000e+00 1.74280000e+00 8.80360000e-01 5.01860000e-01 2.05560000e-01 1.02540000e-01 2.89790000e-02 1.19220000e-02 3.52370000e-03 1.54700000e-03 8.45960000e-04 5.31140000e-04 2.69800000e-04 1.67650000e-04 7.82900000e-05] L = [ 4.18820000e+05 1.48550000e+05 6.95090000e+04 2.31960000e+04 1.04910000e+04 5.83840000e+03 5.70940000e+03 5.63050000e+03 3.37180000e+03 1.48910000e+03 7.84340000e+02 2.40810000e+02 1.02910000e+02 3.05070000e+01 1.27140000e+01 6.40650000e+00 3.64570000e+00 1.48980000e+00 7.42060000e-01 2.09270000e-01 8.60010000e-02 2.54020000e-02 1.11480000e-02 6.09460000e-03 3.82620000e-03 1.94320000e-03 1.20750000e-03 5.63690000e-04] M5 = [ 4.85560000e+02 1.07110000e+02 3.48230000e+01 6.63070000e+00 1.95090000e+00 7.92740000e-01 7.66010000e-01 7.49820000e-01 3.40960000e-01 9.63330000e-02 3.52830000e-02 5.47470000e-03 1.43980000e-03 2.15390000e-04 5.55500000e-05 1.94200000e-05 8.23720000e-06 2.15050000e-06 7.72900000e-07 1.26370000e-07 3.73200000e-08 7.46850000e-09 2.67530000e-09 1.27140000e-09 7.44290000e-10 3.38090000e-10 1.98140000e-10 9.34700000e-11] M4 = [ 3.28910000e+02 7.26910000e+01 2.36780000e+01 4.52400000e+00 1.34130000e+00 5.46380000e-01 5.28000000e-01 5.16870000e-01 2.35590000e-01 6.68240000e-02 2.45670000e-02 3.84410000e-03 1.01820000e-03 1.54300000e-04 4.02270000e-05 1.41810000e-05 6.07100000e-06 1.60860000e-06 5.82770000e-07 9.70570000e-08 2.86000000e-08 5.62590000e-09 1.90010000e-09 8.70970000e-10 4.72130000e-10 1.98220000e-10 1.07430000e-10 4.31950000e-11] L2 = [ 1.11530000e+05 3.57660000e+04 1.53020000e+04 4.37140000e+03 1.73350000e+03 8.66900000e+02 8.44180000e+02 8.30320000e+02 4.49680000e+02 1.67270000e+02 7.63580000e+01 1.77650000e+01 6.17470000e+00 1.35760000e+00 4.57490000e-01 1.96020000e-01 9.80340000e-02 3.29740000e-02 1.42600000e-02 3.19750000e-03 1.14840000e-03 2.88580000e-04 1.14960000e-04 5.86660000e-05 3.49410000e-05 1.62970000e-05 9.45990000e-06 3.95700000e-06] L3 = [ 2.17610000e+05 6.93400000e+04 2.95310000e+04 8.37980000e+03 3.30610000e+03 1.64660000e+03 1.60320000e+03 1.57670000e+03 8.50670000e+02 3.14340000e+02 1.42670000e+02 3.27870000e+01 1.12780000e+01 2.43550000e+00 8.08150000e-01 3.41540000e-01 1.68710000e-01 5.55220000e-02 2.35760000e-02 5.10710000e-03 1.78350000e-03 4.38830000e-04 1.75300000e-04 9.07890000e-05 5.50190000e-05 2.68990000e-05 1.64120000e-05 7.48080000e-06] M3 = [ 2.08570000e+04 7.14070000e+03 3.18100000e+03 9.50360000e+02 3.85190000e+02 1.94920000e+02 1.89890000e+02 1.86820000e+02 1.02050000e+02 3.83920000e+01 1.76360000e+01 4.11930000e+00 1.42910000e+00 3.11090000e-01 1.03750000e-01 4.39960000e-02 2.17780000e-02 7.18910000e-03 3.05780000e-03 6.63910000e-04 2.32530000e-04 5.72690000e-05 2.28740000e-05 1.18560000e-05 7.19190000e-06 3.52090000e-06 2.14540000e-06 9.75690000e-07] L1 = [ 8.96880000e+04 4.34470000e+04 2.46750000e+04 1.04450000e+04 5.45160000e+03 3.32490000e+03 3.26210000e+03 3.22350000e+03 2.07140000e+03 1.00750000e+03 5.65320000e+02 1.90250000e+02 8.54620000e+01 2.67130000e+01 1.14490000e+01 5.86890000e+00 3.37900000e+00 1.40130000e+00 7.04220000e-01 2.00960000e-01 8.30690000e-02 2.46750000e-02 1.08570000e-02 5.94520000e-03 3.73620000e-03 1.90000000e-03 1.18160000e-03 5.52250000e-04] JK = 8.21681329128 M1 = [ 1.40940000e+04 6.33260000e+03 3.49490000e+03 1.44870000e+03 7.50070000e+02 4.55670000e+02 4.47020000e+02 4.41700000e+02 2.83250000e+02 1.37660000e+02 7.73180000e+01 2.60970000e+01 1.17490000e+01 3.68430000e+00 1.58010000e+00 8.11040000e-01 4.67390000e-01 1.94090000e-01 9.76230000e-02 2.78970000e-02 1.15400000e-02 3.42880000e-03 1.50910000e-03 8.26450000e-04 5.19400000e-04 2.64160000e-04 1.64280000e-04 7.68020000e-05] all other = [ 1.06700000e+03 4.75150000e+02 2.61280000e+02 1.08420000e+02 5.60760000e+01 3.40500000e+01 3.34030000e+01 3.30050000e+01 2.11600000e+01 1.02820000e+01 5.77450000e+00 1.94920000e+00 8.77530000e-01 2.75170000e-01 1.18170000e-01 6.06600000e-02 3.49600000e-02 1.45190000e-02 7.30340000e-03 2.08710000e-03 8.63460000e-04 2.56570000e-04 1.12960000e-04 6.18900000e-05 3.89240000e-05 1.98390000e-05 1.23810000e-05 5.86850000e-06] total = [ 4.66340000e+05 1.66360000e+05 7.81510000e+04 2.62100000e+04 1.18880000e+04 6.62690000e+03 5.44520000e+04 5.42160000e+04 3.42430000e+04 1.59860000e+04 8.71870000e+03 2.79640000e+03 1.21900000e+03 3.67650000e+02 1.54360000e+02 7.80830000e+01 4.45350000e+01 1.82430000e+01 9.09630000e+00 2.56740000e+00 1.05510000e+00 3.11470000e-01 1.36670000e-01 7.47290000e-02 4.69270000e-02 2.38510000e-02 1.48320000e-02 6.93630000e-03] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.79710000e+04 4.78250000e+04 3.04110000e+04 1.42900000e+04 7.82410000e+03 2.52120000e+03 1.10120000e+03 3.32700000e+02 1.39790000e+02 7.07360000e+01 4.03530000e+01 1.65330000e+01 8.24440000e+00 2.32710000e+00 9.56350000e-01 2.82280000e-01 1.23860000e-01 6.77260000e-02 4.25310000e-02 2.16180000e-02 1.34450000e-02 6.28850000e-03] [Ti.binding] K = 4.9406 L1 = 0.5575 M5 = 0.0083 M4 = 0.0084 M1 = 0.0686 L3 = 0.4652 M3 = 0.0444 M2 = 0.0451 L2 = 0.4712 [Te] JL1 = 1.13051801149 JL3 = 2.94141869875 JL2 = 1.32968303632 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 4.33520000e+00 4.36990000e+00 4.61370000e+00 4.65070000e+00 4.90970000e+00 4.94900000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 3.17760000e+01 3.20300000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 1.09600000e+05 6.62100000e+04 4.14130000e+04 1.90450000e+04 1.02760000e+04 8.56720000e+03 8.41280000e+03 7.42660000e+03 7.29060000e+03 6.42290000e+03 6.30340000e+03 6.15280000e+03 3.96510000e+03 1.91500000e+03 1.05950000e+03 3.41330000e+02 1.46820000e+02 4.25980000e+01 3.55970000e+01 3.47190000e+01 1.72020000e+01 8.40410000e+00 4.65080000e+00 1.81430000e+00 8.71640000e-01 2.31470000e-01 9.17830000e-02 2.60100000e-02 1.11370000e-02 5.94860000e-03 3.65000000e-03 1.77540000e-03 1.05920000e-03 4.56060000e-04] M = [ 1.61570000e+06 6.56630000e+05 3.30550000e+05 1.20750000e+05 5.78150000e+04 4.69290000e+04 4.59670000e+04 3.99040000e+04 3.90820000e+04 3.39140000e+04 3.32130000e+04 3.23330000e+04 1.99950000e+04 9.27770000e+03 5.07520000e+03 1.66910000e+03 7.50020000e+02 2.39680000e+02 2.03630000e+02 1.99070000e+02 1.05750000e+02 5.58070000e+01 3.30160000e+01 1.43620000e+01 7.51100000e+00 2.31120000e+00 1.00740000e+00 3.20630000e-01 1.47020000e-01 8.25810000e-02 5.26880000e-02 2.71210000e-02 1.68510000e-02 7.71940000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.09580000e+05 9.94670000e+04 1.48920000e+05 1.31930000e+05 1.55260000e+05 1.51400000e+05 9.63850000e+04 4.53950000e+04 2.51060000e+04 8.34750000e+03 3.76600000e+03 1.20620000e+03 1.02490000e+03 1.00200000e+03 5.32630000e+02 2.81170000e+02 1.66360000e+02 7.23660000e+01 3.78360000e+01 1.16340000e+01 5.06800000e+00 1.61180000e+00 7.39180000e-01 4.15180000e-01 2.64920000e-01 1.36410000e-01 8.48130000e-02 3.88770000e-02] M5 = [ 7.03270000e+05 2.40260000e+05 1.04090000e+05 2.94530000e+04 1.13740000e+04 8.64920000e+03 8.41590000e+03 6.98180000e+03 6.79210000e+03 5.62750000e+03 5.47320000e+03 5.28090000e+03 2.77140000e+03 9.70800000e+02 4.19090000e+02 8.62640000e+01 2.70970000e+01 5.07660000e+00 3.98960000e+00 3.85830000e+00 1.51160000e+00 5.86080000e-01 2.69780000e-01 7.94650000e-02 3.09960000e-02 5.79010000e-03 1.83640000e-03 3.95650000e-04 1.45280000e-04 7.10650000e-05 4.14240000e-05 1.86630000e-05 1.08250000e-05 4.43120000e-06] M4 = [ 4.81390000e+05 1.66510000e+05 7.26590000e+04 2.07740000e+04 8.08470000e+03 6.16220000e+03 5.99740000e+03 4.98290000e+03 4.84860000e+03 4.02370000e+03 3.91430000e+03 3.77800000e+03 1.99370000e+03 7.05050000e+02 3.06860000e+02 6.42420000e+01 2.04620000e+01 3.92230000e+00 3.09360000e+00 2.99330000e+00 1.19010000e+00 4.68870000e-01 2.18810000e-01 6.59170000e-02 2.61610000e-02 5.02400000e-03 1.61250000e-03 3.49950000e-04 1.25850000e-04 5.92120000e-05 3.29460000e-05 1.41830000e-05 7.67470000e-06 3.06450000e-06] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.14990000e+04 4.67900000e+04 4.58620000e+04 4.47300000e+04 2.81120000e+04 1.26240000e+04 6.67980000e+03 2.00250000e+03 8.24830000e+02 2.27800000e+02 1.89200000e+02 1.84380000e+02 8.94620000e+01 4.29270000e+01 2.34570000e+01 8.99780000e+00 4.27670000e+00 1.11870000e+00 4.40130000e-01 1.23780000e-01 5.26830000e-02 2.80740000e-02 1.72000000e-02 8.34340000e-03 4.97040000e-03 2.13980000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.09580000e+05 9.94670000e+04 9.74160000e+04 8.51450000e+04 8.34640000e+04 8.13350000e+04 4.94440000e+04 2.16600000e+04 1.12200000e+04 3.24130000e+03 1.29990000e+03 3.44270000e+02 2.84170000e+02 2.76690000e+02 1.30900000e+02 6.11370000e+01 3.26330000e+01 1.20330000e+01 5.53590000e+00 1.36120000e+00 5.12890000e-01 1.36900000e-01 5.68500000e-02 3.00170000e-02 1.83800000e-02 9.00850000e-03 5.44870000e-03 2.41310000e-03] M3 = [ 2.45200000e+05 1.37140000e+05 8.23180000e+04 3.62210000e+04 1.90000000e+04 1.57310000e+04 1.54360000e+04 1.35560000e+04 1.32980000e+04 1.16590000e+04 1.14350000e+04 1.11520000e+04 7.07280000e+03 3.33160000e+03 1.80750000e+03 5.61370000e+02 2.34870000e+02 6.53320000e+01 5.42480000e+01 5.28630000e+01 2.55300000e+01 1.21350000e+01 6.55760000e+00 2.45780000e+00 1.14260000e+00 2.85140000e-01 1.08280000e-01 2.91350000e-02 1.21170000e-02 6.41080000e-03 3.93150000e-03 1.92770000e-03 1.16500000e-03 5.16680000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.59370000e+04 2.53330000e+04 1.88280000e+04 1.11120000e+04 7.20620000e+03 3.10380000e+03 1.64130000e+03 6.34150000e+02 5.51540000e+02 5.40940000e+02 3.12270000e+02 1.77110000e+02 1.10270000e+02 5.13350000e+01 2.80230000e+01 9.15400000e+00 4.11500000e+00 1.35120000e+00 6.29650000e-01 3.57090000e-01 2.29340000e-01 1.19060000e-01 7.43930000e-02 3.43240000e-02] JK = 5.95886001413 M1 = [ 7.62420000e+04 4.65120000e+04 3.00720000e+04 1.52530000e+04 9.08060000e+03 7.81960000e+03 7.70400000e+03 6.95690000e+03 6.85270000e+03 6.18080000e+03 6.08730000e+03 5.96920000e+03 4.19190000e+03 2.35530000e+03 1.48230000e+03 6.15910000e+02 3.20770000e+02 1.22750000e+02 1.06700000e+02 1.04640000e+02 6.03200000e+01 3.42130000e+01 2.13190000e+01 9.94460000e+00 5.43960000e+00 1.78370000e+00 8.03890000e-01 2.64740000e-01 1.23500000e-01 7.00920000e-02 4.50320000e-02 2.33850000e-02 1.46090000e-02 6.73910000e-03] all other = [ 2.45920000e+05 1.06270000e+05 5.61580000e+04 2.18510000e+04 1.08840000e+04 8.92520000e+03 8.75050000e+03 7.64550000e+03 7.49490000e+03 6.54460000e+03 6.41500000e+03 6.25210000e+03 3.94110000e+03 1.87800000e+03 1.04710000e+03 3.54960000e+02 1.62410000e+02 5.30260000e+01 4.51730000e+01 4.41790000e+01 2.37010000e+01 1.26170000e+01 7.50970000e+00 3.29650000e+00 1.73300000e+00 5.37620000e-01 2.35380000e-01 7.52580000e-02 3.46030000e-02 1.94630000e-02 1.24280000e-02 6.40440000e-03 3.98240000e-03 1.82600000e-03] total = [ 1.86160000e+06 7.62900000e+05 3.86710000e+05 1.42600000e+05 6.86990000e+04 5.58540000e+04 1.64290000e+05 1.47020000e+05 1.95490000e+05 1.72390000e+05 1.94890000e+05 1.89980000e+05 1.20320000e+05 5.65510000e+04 3.12290000e+04 1.03720000e+04 4.67840000e+03 1.49890000e+03 1.27370000e+03 7.58980000e+03 4.25440000e+03 2.33410000e+03 1.41710000e+03 6.34750000e+02 3.37310000e+02 1.05670000e+02 4.63730000e+01 1.48420000e+01 6.83100000e+00 3.84900000e+00 2.46340000e+00 1.27530000e+00 7.96430000e-01 3.67930000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.34450000e+03 3.59230000e+03 1.98450000e+03 1.21020000e+03 5.44730000e+02 2.90230000e+02 9.11850000e+01 4.00620000e+01 1.28340000e+01 5.91020000e+00 3.33180000e+00 2.13330000e+00 1.10540000e+00 6.90780000e-01 3.19510000e-01] [Te.binding] K = 31.8077 L1 = 4.9146 M5 = 0.5826 M4 = 0.5937 M1 = 0.9913 L3 = 4.3396 M3 = 0.8148 M2 = 0.8672 L2 = 4.6184 [Tb] JL1 = 1.13182833808 JL3 = 2.68170404611 JL2 = 1.34319384319 energy = [ 1.00000000e+00 1.24320000e+00 1.25320000e+00 1.27770000e+00 1.28800000e+00 1.50000000e+00 1.59520000e+00 1.60790000e+00 1.75200000e+00 1.76610000e+00 1.93460000e+00 1.95000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 7.49760000e+00 7.55760000e+00 8.00000000e+00 8.25290000e+00 8.31900000e+00 8.66600000e+00 8.73540000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 5.20180000e+01 5.24340000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.37834438047 M5 = [ 0.00000000e+00 0.00000000e+00 4.15460000e+05 9.48710000e+05 9.68490000e+05 6.58710000e+05 5.63180000e+05 5.51820000e+05 4.42250000e+05 4.33160000e+05 3.43480000e+05 3.36420000e+05 3.14920000e+05 9.94400000e+04 4.12600000e+04 2.02210000e+04 1.10760000e+04 5.18960000e+03 5.04830000e+03 4.14240000e+03 3.71560000e+03 3.61330000e+03 3.13010000e+03 3.04340000e+03 1.88130000e+03 4.24340000e+02 1.41750000e+02 2.87880000e+01 9.04110000e+00 3.64190000e+00 3.09740000e+00 2.99790000e+00 1.72460000e+00 5.29020000e-01 2.12180000e-01 4.14410000e-02 1.35000000e-02 3.01300000e-03 1.12350000e-03 5.50210000e-04 3.18190000e-04 1.44880000e-04 8.45550000e-05 3.42420000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.60210000e+05 4.55940000e+05 3.90660000e+05 3.82910000e+05 3.08020000e+05 3.01790000e+05 2.40060000e+05 2.35110000e+05 2.20190000e+05 7.08910000e+04 2.97290000e+04 1.47040000e+04 8.11700000e+03 3.84150000e+03 3.73840000e+03 3.07590000e+03 2.76270000e+03 2.68750000e+03 2.33270000e+03 2.26890000e+03 1.41180000e+03 3.25450000e+02 1.10630000e+02 2.31060000e+01 7.42180000e+00 3.04680000e+00 2.60030000e+00 2.51850000e+00 1.46650000e+00 4.62090000e-01 1.89250000e-01 3.82590000e-02 1.26810000e-02 2.84300000e-03 1.04140000e-03 5.00770000e-04 2.83010000e-04 1.20930000e-04 6.62610000e-05 2.53170000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.15090000e+04 4.04860000e+04 2.28190000e+04 1.44360000e+04 9.85890000e+03 7.12190000e+03 4.70980000e+03 4.63900000e+03 4.16220000e+03 3.92170000e+03 3.86220000e+03 3.57030000e+03 3.51570000e+03 2.69770000e+03 1.18280000e+03 6.40730000e+02 2.59480000e+02 1.32810000e+02 7.77530000e+01 7.06100000e+01 6.92480000e+01 4.97030000e+01 2.41190000e+01 1.35900000e+01 4.69010000e+00 2.18610000e+00 7.51300000e-01 3.59770000e-01 2.07610000e-01 1.34840000e-01 7.07770000e-02 4.43790000e-02 2.04080000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.85470000e+05 1.63190000e+05 1.61520000e+05 1.40930000e+05 1.39140000e+05 1.33560000e+05 6.71090000e+04 3.81080000e+04 2.36910000e+04 1.57230000e+04 9.28670000e+03 9.10860000e+03 7.92760000e+03 7.34350000e+03 7.20020000e+03 6.50480000e+03 6.37630000e+03 4.52620000e+03 1.53690000e+03 6.83460000e+02 2.06080000e+02 8.49590000e+01 4.20010000e+01 3.70180000e+01 3.60860000e+01 2.33990000e+01 9.17330000e+00 4.40370000e+00 1.15730000e+00 4.53320000e-01 1.26210000e-01 5.35020000e-02 2.85640000e-02 1.75460000e-02 8.59910000e-03 5.18270000e-03 2.27020000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.83090000e+04 6.13270000e+04 6.07900000e+04 5.89780000e+04 3.28480000e+04 1.97600000e+04 1.27570000e+04 8.70770000e+03 5.31900000e+03 5.22340000e+03 4.58400000e+03 4.26390000e+03 4.18530000e+03 3.80280000e+03 3.73210000e+03 2.70060000e+03 9.70550000e+02 4.49400000e+02 1.43790000e+02 6.19850000e+01 3.17770000e+01 2.81930000e+01 2.75200000e+01 1.82590000e+01 7.53380000e+00 3.76970000e+00 1.07070000e+00 4.42910000e-01 1.32120000e-01 5.81670000e-02 3.17030000e-02 1.97550000e-02 9.77790000e-03 5.89810000e-03 2.57840000e-03] total = [ 6.29700000e+05 4.16040000e+05 8.25030000e+05 1.34290000e+06 1.61670000e+06 1.39990000e+06 1.20500000e+06 1.36720000e+06 1.11960000e+06 1.16740000e+06 9.52450000e+05 9.76760000e+05 9.23160000e+05 3.55290000e+05 1.74840000e+05 9.96010000e+04 6.24600000e+04 3.50460000e+04 9.39830000e+04 8.14840000e+04 7.48440000e+04 1.00530000e+05 9.08530000e+04 1.02830000e+05 7.33090000e+04 2.52260000e+04 1.16410000e+04 3.83700000e+03 1.72600000e+03 9.24040000e+02 8.26760000e+02 4.44660000e+03 3.10930000e+03 1.45240000e+03 7.91790000e+02 2.58340000e+02 1.16330000e+02 3.84740000e+01 1.80760000e+01 1.03250000e+01 6.66890000e+00 3.48630000e+00 2.18430000e+00 1.00610000e+00] JM2 = 1.04269381922 JM3 = 1.13460580913 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.63820000e+03 2.55630000e+03 1.20740000e+03 6.61810000e+02 2.17260000e+02 9.80760000e+01 3.25080000e+01 1.52920000e+01 8.74450000e+00 5.65310000e+00 2.95990000e+00 1.85670000e+00 8.56870000e-01] JM1 = 1.02552364954 M = [ 0.00000000e+00 0.00000000e+00 4.15460000e+05 9.48710000e+05 1.22870000e+06 1.11460000e+06 9.53850000e+05 1.12020000e+06 9.13460000e+05 9.64770000e+05 7.85800000e+05 8.12970000e+05 7.68140000e+05 2.93110000e+05 1.43290000e+05 8.12320000e+04 5.07450000e+04 2.83470000e+04 2.77580000e+04 2.38920000e+04 2.20070000e+04 2.15490000e+04 1.93410000e+04 1.89360000e+04 1.32180000e+04 4.44000000e+03 2.02600000e+03 6.61250000e+02 2.96220000e+02 1.58220000e+02 1.41520000e+02 1.38370000e+02 9.45530000e+01 4.18170000e+01 2.21650000e+01 6.99780000e+00 3.10850000e+00 1.01550000e+00 4.73610000e-01 2.68930000e-01 1.72740000e-01 8.94200000e-02 5.56100000e-02 2.53160000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.96600000e+04 5.19090000e+04 4.75860000e+04 7.38380000e+04 6.68780000e+04 7.93500000e+04 5.68830000e+04 1.96750000e+04 9.09880000e+03 3.00370000e+03 1.35170000e+03 7.23780000e+02 6.47590000e+02 6.33220000e+02 4.33170000e+02 1.91900000e+02 1.01810000e+02 3.21700000e+01 1.42940000e+01 4.67030000e+00 2.17880000e+00 1.23760000e+00 7.95300000e-01 4.12210000e-01 2.56580000e-01 1.16930000e-01] JM4 = 1.20388710999 JM5 = 1.98305451399 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.72480000e+04 2.49640000e+04 2.43920000e+04 1.73260000e+04 5.68030000e+03 2.49230000e+03 7.45700000e+02 3.09090000e+02 1.54390000e+02 1.36410000e+02 1.33040000e+02 8.70830000e+01 3.50430000e+01 1.72550000e+01 4.78950000e+00 1.95710000e+00 5.76490000e-01 2.52260000e-01 1.37020000e-01 8.50800000e-02 4.19690000e-02 2.52850000e-02 1.10220000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.96600000e+04 5.19090000e+04 4.75860000e+04 4.65900000e+04 4.19140000e+04 4.10610000e+04 2.84920000e+04 8.76770000e+03 3.67970000e+03 1.03790000e+03 4.11670000e+02 1.98380000e+02 1.74110000e+02 1.69590000e+02 1.08520000e+02 4.15270000e+01 1.96290000e+01 5.04590000e+00 1.95370000e+00 5.37540000e-01 2.26560000e-01 1.20560000e-01 7.40450000e-02 3.62530000e-02 2.18370000e-02 9.53350000e-03] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.38980000e+04 1.10650000e+04 5.22670000e+03 2.92680000e+03 1.22010000e+03 6.30910000e+02 3.71010000e+02 3.37070000e+02 3.30590000e+02 2.37570000e+02 1.15330000e+02 6.49230000e+01 2.23350000e+01 1.03830000e+01 3.55630000e+00 1.70000000e+00 9.80040000e-01 6.36180000e-01 3.33990000e-01 2.09460000e-01 9.63790000e-02] all other = [ 6.29700000e+05 4.16040000e+05 4.09570000e+05 3.94190000e+05 3.88020000e+05 2.85250000e+05 2.51160000e+05 2.47010000e+05 2.06140000e+05 2.02670000e+05 1.66650000e+05 1.63790000e+05 1.55020000e+05 6.21860000e+04 3.15460000e+04 1.83690000e+04 1.17150000e+04 6.69950000e+03 6.56560000e+03 5.68330000e+03 5.25040000e+03 5.14480000e+03 4.63500000e+03 4.54140000e+03 3.20810000e+03 1.11080000e+03 5.16090000e+02 1.72130000e+02 7.80660000e+01 4.20400000e+01 3.76530000e+01 3.68260000e+01 2.52730000e+01 1.12680000e+01 6.00460000e+00 1.91070000e+00 8.52160000e-01 2.79650000e-01 1.30730000e-01 7.43300000e-02 4.77860000e-02 2.47690000e-02 1.54150000e-02 7.02180000e-03] [Tb.binding] K = 52.0699 L1 = 8.6747 M5 = 1.2445 M4 = 1.279 M1 = 1.9365 L3 = 7.5051 M3 = 1.5968 M2 = 1.7538 L2 = 8.2612 [Tc] JL1 = 1.12240915209 JL3 = 3.51162790698 JL2 = 1.36044312348 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.67480000e+00 2.69620000e+00 2.79520000e+00 2.81760000e+00 3.00000000e+00 3.01950000e+00 3.04370000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 2.09910000e+01 2.11590000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 8.59920000e+04 4.33760000e+04 2.46890000e+04 1.31880000e+04 1.29540000e+04 1.19390000e+04 1.17250000e+04 1.01510000e+04 9.99870000e+03 9.81500000e+03 5.09160000e+03 2.89050000e+03 1.78590000e+03 8.08590000e+02 4.26400000e+02 1.26610000e+02 5.15670000e+01 4.42180000e+01 4.31090000e+01 1.39150000e+01 5.35760000e+00 2.52810000e+00 1.36170000e+00 5.10150000e-01 2.38020000e-01 6.02310000e-02 2.32180000e-02 6.35320000e-03 2.65960000e-03 1.40260000e-03 8.52670000e-04 4.08820000e-04 2.42310000e-04 1.03230000e-04] M = [ 7.95400000e+05 3.06630000e+05 1.51370000e+05 7.27300000e+04 7.12650000e+04 6.49930000e+04 6.36800000e+04 5.42100000e+04 5.33120000e+04 5.22280000e+04 2.56740000e+04 1.42390000e+04 8.74350000e+03 4.01080000e+03 2.17520000e+03 7.05290000e+02 3.13810000e+02 2.73630000e+02 2.67510000e+02 9.88240000e+01 4.31360000e+01 2.25640000e+01 1.32480000e+01 5.68910000e+00 2.94380000e+00 8.87660000e-01 3.81320000e-01 1.18940000e-01 5.39040000e-02 3.00500000e-02 1.90830000e-02 9.78260000e-03 6.07770000e-03 2.79890000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.06830000e+05 1.85970000e+05 2.80820000e+05 2.40840000e+05 2.37130000e+05 2.74720000e+05 1.38560000e+05 7.79820000e+04 4.82480000e+04 2.22770000e+04 1.21070000e+04 3.92550000e+03 1.74440000e+03 1.52080000e+03 1.48680000e+03 5.48410000e+02 2.39080000e+02 1.24930000e+02 7.32870000e+01 3.14290000e+01 1.62470000e+01 4.89060000e+00 2.09860000e+00 6.54180000e-01 2.96310000e-01 1.65150000e-01 1.04870000e-01 5.37700000e-02 3.34130000e-02 1.53930000e-02] M5 = [ 2.80240000e+05 8.58220000e+04 3.47780000e+04 1.33020000e+04 1.29480000e+04 1.14550000e+04 1.11480000e+04 8.99190000e+03 8.79290000e+03 8.55440000e+03 3.26930000e+03 1.44890000e+03 7.31870000e+02 2.41670000e+02 9.99580000e+01 1.91360000e+01 5.71910000e+00 4.65690000e+00 4.50150000e+00 1.00550000e+00 2.88380000e-01 1.08960000e-01 4.91620000e-02 1.40470000e-02 5.36100000e-03 9.60560000e-04 2.98390000e-04 6.32580000e-05 2.30320000e-05 1.12860000e-05 6.52220000e-06 2.92090000e-06 1.73550000e-06 7.45010000e-07] M4 = [ 1.92220000e+05 5.92650000e+04 2.41360000e+04 9.28040000e+03 9.03450000e+03 7.99830000e+03 7.78500000e+03 6.28690000e+03 6.14860000e+03 5.98280000e+03 2.29930000e+03 1.02410000e+03 5.19600000e+02 1.72900000e+02 7.19880000e+01 1.39760000e+01 4.22690000e+00 3.44940000e+00 3.33550000e+00 7.58040000e-01 2.20930000e-01 8.46190000e-02 3.86310000e-02 1.12540000e-02 4.35850000e-03 8.06870000e-04 2.53130000e-04 5.34250000e-05 1.88700000e-05 8.80280000e-06 4.88170000e-06 2.05740000e-06 1.10370000e-06 4.33260000e-07] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.83560000e+04 8.33550000e+04 8.21570000e+04 8.06920000e+04 3.92730000e+04 2.12200000e+04 1.26520000e+04 5.42500000e+03 2.75740000e+03 7.73590000e+02 3.05010000e+02 2.60270000e+02 2.53550000e+02 7.94090000e+01 2.99780000e+01 1.39660000e+01 7.45490000e+00 2.76020000e+00 1.27850000e+00 3.20340000e-01 1.22640000e-01 3.33640000e-02 1.39220000e-02 7.32500000e-03 4.44690000e-03 2.13530000e-03 1.26270000e-03 5.39210000e-04] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.06830000e+05 1.85970000e+05 1.82470000e+05 1.57480000e+05 1.54970000e+05 1.51900000e+05 7.19140000e+04 3.83590000e+04 2.25830000e+04 9.52380000e+03 4.77410000e+03 1.30400000e+03 5.03500000e+02 4.28110000e+02 4.16780000e+02 1.26880000e+02 4.66640000e+01 2.12610000e+01 1.11290000e+01 3.98550000e+00 1.79540000e+00 4.26640000e-01 1.57460000e-01 4.10680000e-02 1.68600000e-02 8.85510000e-03 5.41000000e-03 2.64250000e-03 1.60310000e-03 7.14180000e-04] M3 = [ 1.75100000e+05 8.51850000e+04 4.74810000e+04 2.48970000e+04 2.44420000e+04 2.24770000e+04 2.20620000e+04 1.90250000e+04 1.87330000e+04 1.83810000e+04 9.38210000e+03 5.25770000e+03 3.21350000e+03 1.43000000e+03 7.43590000e+02 2.14890000e+02 8.57000000e+01 7.32140000e+01 7.13320000e+01 2.23710000e+01 8.38810000e+00 3.86990000e+00 2.04370000e+00 7.40430000e-01 3.36020000e-01 8.06760000e-02 2.98890000e-02 7.83790000e-03 3.22590000e-03 1.69550000e-03 1.03600000e-03 5.08240000e-04 3.07640000e-04 1.37690000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.21230000e+04 2.73770000e+04 1.84030000e+04 1.30130000e+04 7.32870000e+03 4.57580000e+03 1.84800000e+03 9.35860000e+02 8.32430000e+02 8.16450000e+02 3.42130000e+02 1.62440000e+02 8.97080000e+01 5.47030000e+01 2.46840000e+01 1.31730000e+01 4.14360000e+00 1.81850000e+00 5.79750000e-01 2.65520000e-01 1.48970000e-01 9.50140000e-02 4.89920000e-02 3.05470000e-02 1.41400000e-02] JK = 6.42911502501 M1 = [ 6.18550000e+04 3.29840000e+04 2.02900000e+04 1.20620000e+04 1.18870000e+04 1.11230000e+04 1.09610000e+04 9.75580000e+03 9.63810000e+03 9.49520000e+03 5.63120000e+03 3.61750000e+03 2.49260000e+03 1.35760000e+03 8.33310000e+02 3.30680000e+02 1.66590000e+02 1.48090000e+02 1.45230000e+02 6.07750000e+01 2.88810000e+01 1.59720000e+01 9.75460000e+00 4.41320000e+00 2.36010000e+00 7.44980000e-01 3.27660000e-01 1.04630000e-01 4.79770000e-02 2.69320000e-02 1.71830000e-02 8.86060000e-03 5.52490000e-03 2.55680000e-03] all other = [ 7.42530000e+04 3.23400000e+04 1.73320000e+04 8.96980000e+03 8.80570000e+03 8.09840000e+03 7.94930000e+03 6.86420000e+03 6.76030000e+03 6.63470000e+03 3.44930000e+03 1.99290000e+03 1.26130000e+03 6.03050000e+02 3.36030000e+02 1.13420000e+02 5.16340000e+01 4.51780000e+01 4.41930000e+01 1.66790000e+01 7.38620000e+00 3.89920000e+00 2.30420000e+00 9.98030000e-01 5.19250000e-01 1.57760000e-01 6.80380000e-02 2.13190000e-02 9.68070000e-03 5.40310000e-03 3.43400000e-03 1.76210000e-03 1.09560000e-03 5.05190000e-04] total = [ 8.69650000e+05 3.38970000e+05 1.68710000e+05 8.17000000e+04 2.86900000e+05 2.59070000e+05 3.52450000e+05 3.01910000e+05 2.97200000e+05 3.33580000e+05 1.67690000e+05 9.42130000e+04 5.82530000e+04 2.68910000e+04 1.46190000e+04 4.74430000e+03 2.10980000e+03 1.83960000e+03 1.18270000e+04 4.75410000e+03 2.16440000e+03 1.16050000e+03 6.91910000e+02 3.02370000e+02 1.57880000e+02 4.80580000e+01 2.07090000e+01 6.47720000e+00 2.93970000e+00 1.64150000e+00 1.04440000e+00 5.37430000e-01 3.35040000e-01 1.55230000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.00280000e+04 4.09020000e+03 1.87480000e+03 1.00910000e+03 6.03070000e+02 2.64250000e+02 1.38170000e+02 4.21220000e+01 1.81610000e+01 5.68270000e+00 2.57980000e+00 1.44090000e+00 9.17020000e-01 4.72120000e-01 2.94450000e-01 1.36530000e-01] [Tc.binding] K = 21.0122 L1 = 3.0226 M5 = 0.263 M4 = 0.267 M1 = 0.5335 L3 = 2.6775 M3 = 0.4249 M2 = 0.4453 L2 = 2.798 [Ta] JL1 = 1.13228409511 JL3 = 2.57078122168 JL2 = 1.35290973985 energy = [ 1.00000000e+00 1.50000000e+00 1.73960000e+00 1.75350000e+00 1.80050000e+00 1.81490000e+00 2.00000000e+00 2.18190000e+00 2.19930000e+00 2.45950000e+00 2.47920000e+00 2.68320000e+00 2.70470000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 9.86900000e+00 9.94800000e+00 1.00000000e+01 1.11530000e+01 1.12420000e+01 1.16480000e+01 1.17410000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 6.75210000e+01 6.80620000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.03625985981 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.95000000e+05 6.33020000e+05 6.40320000e+05 5.15990000e+05 4.09560000e+05 4.00950000e+05 2.97120000e+05 2.90780000e+05 2.36290000e+05 2.31300000e+05 1.74130000e+05 7.51280000e+04 3.78750000e+04 2.12240000e+04 8.22080000e+03 4.01330000e+03 3.90390000e+03 3.83400000e+03 2.61820000e+03 2.54570000e+03 2.24580000e+03 2.18330000e+03 9.05330000e+02 3.12310000e+02 6.63080000e+01 2.14440000e+01 8.82400000e+00 4.24830000e+00 2.64290000e+00 2.55940000e+00 1.33540000e+00 5.44790000e-01 1.09210000e-01 3.61060000e-02 8.18830000e-03 3.07590000e-03 1.51490000e-03 8.77140000e-04 3.99410000e-04 2.27920000e-04 9.59470000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.26730000e+05 3.61280000e+05 2.88300000e+05 2.82350000e+05 2.10340000e+05 2.05930000e+05 1.67830000e+05 1.64260000e+05 1.24530000e+05 5.45750000e+04 2.78130000e+04 1.57250000e+04 6.18510000e+03 3.05510000e+03 2.97310000e+03 2.92070000e+03 2.00790000e+03 1.95320000e+03 1.72660000e+03 1.67940000e+03 7.07400000e+02 2.48930000e+02 5.45430000e+01 1.80870000e+01 7.60010000e+00 3.72550000e+00 2.34540000e+00 2.27320000e+00 1.20590000e+00 5.03410000e-01 1.04870000e-01 3.53950000e-02 8.10960000e-03 3.00990000e-03 1.44950000e-03 8.20490000e-04 3.58110000e-04 1.97240000e-04 7.50560000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.89930000e+04 2.58560000e+04 1.70280000e+04 1.20340000e+04 8.88110000e+03 5.34600000e+03 3.62230000e+03 3.56810000e+03 3.53300000e+03 2.86730000e+03 2.82360000e+03 2.63670000e+03 2.59630000e+03 1.59890000e+03 8.84760000e+02 3.69330000e+02 1.93220000e+02 1.15070000e+02 7.45930000e+01 5.60770000e+01 5.49990000e+01 3.70010000e+01 2.12020000e+01 7.53720000e+00 3.58410000e+00 1.26430000e+00 6.15340000e-01 3.58850000e-01 2.34710000e-01 1.24180000e-01 7.80910000e-02 3.58680000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.43280000e+05 1.19460000e+05 1.18040000e+05 1.03730000e+05 1.02330000e+05 8.55910000e+04 5.14270000e+04 3.30650000e+04 2.24900000e+04 1.17780000e+04 7.14000000e+03 7.00210000e+03 6.91330000e+03 5.27940000e+03 5.17530000e+03 4.73380000e+03 4.63950000e+03 2.46370000e+03 1.13160000e+03 3.56590000e+02 1.51440000e+02 7.65290000e+01 4.33710000e+01 2.99000000e+01 2.91550000e+01 1.74430000e+01 8.52920000e+00 2.30940000e+00 9.21070000e-01 2.61640000e-01 1.12000000e-01 6.00300000e-02 3.70100000e-02 1.81290000e-02 1.08940000e-02 4.73070000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.88130000e+04 4.38040000e+04 4.34490000e+04 3.79950000e+04 2.48630000e+04 1.69510000e+04 1.20490000e+04 6.70310000e+03 4.23360000e+03 4.15840000e+03 4.10990000e+03 3.20400000e+03 3.14520000e+03 2.89520000e+03 2.84160000e+03 1.57820000e+03 7.63150000e+02 2.58820000e+02 1.16010000e+02 6.12140000e+01 3.59800000e+01 2.54100000e+01 2.48170000e+01 1.53580000e+01 7.87730000e+00 2.33130000e+00 9.89630000e-01 3.04680000e-01 1.36690000e-01 7.53860000e-02 4.73140000e-02 2.37160000e-02 1.44010000e-02 6.35690000e-03] total = [ 1.05130000e+06 4.67430000e+05 3.41790000e+05 5.31010000e+05 9.50510000e+05 1.07910000e+06 1.13000000e+06 9.06510000e+05 1.03160000e+06 7.86550000e+05 8.20350000e+05 6.82690000e+05 6.99000000e+05 5.49500000e+05 2.74600000e+05 1.57860000e+05 9.96310000e+04 4.76330000e+04 2.75850000e+04 7.09150000e+04 7.01530000e+04 5.23930000e+04 7.08830000e+04 6.49360000e+04 7.35260000e+04 3.93980000e+04 1.84110000e+04 6.19100000e+03 2.81910000e+03 1.52280000e+03 9.17880000e+02 6.60510000e+02 3.32650000e+03 2.17100000e+03 1.20840000e+03 4.04490000e+02 1.85070000e+02 6.24970000e+01 2.97540000e+01 1.71490000e+01 1.11440000e+01 5.86610000e+00 3.68450000e+00 1.69560000e+00] JM2 = 1.04297247473 JM3 = 1.13799075576 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.68060000e+03 1.75980000e+03 9.88370000e+02 3.33830000e+02 1.53300000e+02 5.19490000e+01 2.47810000e+01 1.43050000e+01 9.30860000e+00 4.91040000e+00 3.08910000e+00 1.42490000e+00] JM1 = 1.02389078498 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.95000000e+05 6.33020000e+05 7.67040000e+05 8.77270000e+05 6.97850000e+05 8.26580000e+05 6.26920000e+05 6.63570000e+05 5.51650000e+05 5.70330000e+05 4.48100000e+05 2.23020000e+05 1.27740000e+05 8.03690000e+04 3.82330000e+04 2.20640000e+04 2.16060000e+04 2.13110000e+04 1.59770000e+04 1.56430000e+04 1.42380000e+04 1.39400000e+04 7.25360000e+03 3.34070000e+03 1.10560000e+03 5.00210000e+02 2.69230000e+02 1.61920000e+02 1.16370000e+02 1.13800000e+02 7.23430000e+01 3.86560000e+01 1.23920000e+01 5.56630000e+00 1.84690000e+00 8.70110000e-01 4.97230000e-01 3.20730000e-01 1.66790000e-01 1.03810000e-01 4.71270000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.39000000e+04 4.35030000e+04 3.23790000e+04 5.12850000e+04 4.70880000e+04 5.60490000e+04 3.02720000e+04 1.41920000e+04 4.78850000e+03 2.18280000e+03 1.17970000e+03 7.11240000e+02 5.11870000e+02 5.00600000e+02 3.18680000e+02 1.70550000e+02 5.47660000e+01 2.46180000e+01 8.17480000e+00 3.85400000e+00 2.20410000e+00 1.42270000e+00 7.40970000e-01 4.61680000e-01 2.09990000e-01] JM4 = 1.13528526791 JM5 = 1.55361479271 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.95780000e+04 1.81910000e+04 1.77650000e+04 9.47200000e+03 4.27900000e+03 1.34830000e+03 5.77740000e+02 2.95720000e+02 1.70010000e+02 1.18500000e+02 1.15640000e+02 7.04130000e+01 3.54140000e+01 1.01890000e+01 4.26020000e+00 1.29110000e+00 5.74760000e-01 3.15580000e-01 1.97520000e-01 9.85870000e-02 5.97440000e-02 2.63130000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.39000000e+04 4.35030000e+04 3.23790000e+04 3.17070000e+04 2.88970000e+04 2.83000000e+04 1.42330000e+04 6.12540000e+03 1.78730000e+03 7.25160000e+02 3.55570000e+02 1.97200000e+02 1.34230000e+02 1.30780000e+02 7.70240000e+01 3.69580000e+01 9.74050000e+00 3.82980000e+00 1.07220000e+00 4.55760000e-01 2.43330000e-01 1.49650000e-01 7.32700000e-02 4.39800000e-02 1.91210000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.98450000e+03 6.56670000e+03 3.78760000e+03 1.65290000e+03 8.79860000e+02 5.28370000e+02 3.44030000e+02 2.59140000e+02 2.54180000e+02 1.71240000e+02 9.81790000e+01 3.48370000e+01 1.65280000e+01 5.81140000e+00 2.82350000e+00 1.64510000e+00 1.07560000e+00 5.69120000e-01 3.57950000e-01 1.64550000e-01] all other = [ 1.05130000e+06 4.67430000e+05 3.41790000e+05 3.36010000e+05 3.17500000e+05 3.12090000e+05 2.52740000e+05 2.08660000e+05 2.05000000e+05 1.59630000e+05 1.56790000e+05 1.31040000e+05 1.28670000e+05 1.01400000e+05 5.15740000e+04 3.01190000e+04 1.92620000e+04 9.40010000e+03 5.52100000e+03 5.40980000e+03 5.33830000e+03 4.03690000e+03 3.95500000e+03 3.60950000e+03 3.53610000e+03 1.87250000e+03 8.77970000e+02 2.96900000e+02 1.36110000e+02 7.39030000e+01 4.47280000e+01 3.22680000e+01 3.15630000e+01 2.01590000e+01 1.08340000e+01 3.50320000e+00 1.58120000e+00 5.27230000e-01 2.49040000e-01 1.42540000e-01 9.20390000e-02 4.79280000e-02 2.98480000e-02 1.35610000e-02] [Ta.binding] K = 67.5884 L1 = 11.6598 M5 = 1.7414 M4 = 1.8023 M1 = 2.6859 L3 = 9.8788 M3 = 2.1841 M2 = 2.4619 L2 = 11.1637 [Yb] JL1 = 1.13213747403 JL3 = 2.61147470184 JL2 = 1.39253148068 energy = [ 1.00000000e+00 1.50000000e+00 1.52680000e+00 1.53910000e+00 1.57650000e+00 1.58910000e+00 1.93320000e+00 1.94870000e+00 2.00000000e+00 2.15910000e+00 2.17640000e+00 2.36670000e+00 2.38570000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 8.92460000e+00 8.99600000e+00 9.98310000e+00 1.00000000e+01 1.00630000e+01 1.04460000e+01 1.05300000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 6.13970000e+01 6.18890000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.16377192003 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.18360000e+05 7.73070000e+05 7.75640000e+05 4.70030000e+05 4.60310000e+05 4.29980000e+05 3.51310000e+05 3.43940000e+05 2.76920000e+05 2.71110000e+05 1.43000000e+05 6.09130000e+04 3.03820000e+04 1.68810000e+04 6.45920000e+03 4.43580000e+03 4.31500000e+03 3.00010000e+03 2.98240000e+03 2.91720000e+03 2.55730000e+03 2.48620000e+03 6.92630000e+02 2.36200000e+02 4.93480000e+01 1.57880000e+01 6.44620000e+00 3.08480000e+00 2.81020000e+00 2.72080000e+00 9.61000000e-01 3.89590000e-01 7.73370000e-02 2.54290000e-02 5.73350000e-03 2.14800000e-03 1.05670000e-03 6.11710000e-04 2.79760000e-04 1.59790000e-04 6.72940000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.93920000e+05 3.28830000e+05 3.22130000e+05 3.01240000e+05 2.46970000e+05 2.41880000e+05 1.95440000e+05 1.91310000e+05 1.02160000e+05 4.40820000e+04 2.22200000e+04 1.24560000e+04 4.83620000e+03 3.33960000e+03 3.25010000e+03 2.27290000e+03 2.25960000e+03 2.21100000e+03 1.94200000e+03 1.88890000e+03 5.37440000e+02 1.86770000e+02 4.02170000e+01 1.31810000e+01 5.49130000e+00 2.67380000e+00 2.44120000e+00 2.36540000e+00 8.56950000e-01 3.55200000e-01 7.31710000e-02 2.45300000e-02 5.57550000e-03 2.05940000e-03 9.88490000e-04 5.62780000e-04 2.42100000e-04 1.34740000e-04 5.09290000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.36730000e+04 2.48480000e+04 1.62230000e+04 1.12690000e+04 8.24400000e+03 4.90610000e+03 3.99980000e+03 3.93980000e+03 3.22880000e+03 3.21830000e+03 3.17970000e+03 2.95870000e+03 2.91340000e+03 1.43920000e+03 7.90010000e+02 3.26160000e+02 1.69270000e+02 1.00180000e+02 6.46100000e+01 6.10920000e+01 5.99160000e+01 3.17910000e+01 1.81040000e+01 6.36580000e+00 3.00460000e+00 1.04960000e+00 5.07700000e-01 2.94890000e-01 1.92370000e-01 1.01470000e-01 6.37340000e-02 2.92850000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.60870000e+05 1.48570000e+05 1.35550000e+05 1.34010000e+05 1.17440000e+05 1.15900000e+05 7.90520000e+04 4.63800000e+04 2.94390000e+04 1.98510000e+04 1.02550000e+04 7.88470000e+03 7.73280000e+03 5.98500000e+03 5.95990000e+03 5.86740000e+03 5.34330000e+03 5.23710000e+03 2.08650000e+03 9.47060000e+02 2.93700000e+02 1.23390000e+02 6.18490000e+01 3.48330000e+01 3.23790000e+01 3.15690000e+01 1.38780000e+01 6.74030000e+00 1.80500000e+00 7.15120000e-01 2.01640000e-01 8.60020000e-02 4.60190000e-02 2.83760000e-02 1.38820000e-02 8.36030000e-03 3.63680000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.60060000e+04 5.00670000e+04 4.96420000e+04 3.62400000e+04 2.31650000e+04 1.54670000e+04 1.08130000e+04 5.88760000e+03 4.61260000e+03 4.53040000e+03 3.56870000e+03 3.55470000e+03 3.50310000e+03 3.21000000e+03 3.15050000e+03 1.33080000e+03 6.33170000e+02 2.10130000e+02 9.28200000e+01 4.84520000e+01 2.82380000e+01 2.63650000e+01 2.57450000e+01 1.19010000e+01 6.04800000e+00 1.76250000e+00 7.40940000e-01 2.25420000e-01 1.00420000e-01 5.51240000e-02 3.45100000e-02 1.72160000e-02 1.04310000e-02 4.58760000e-03] total = [ 8.63880000e+05 3.84990000e+05 3.71030000e+05 6.83270000e+05 1.12000000e+06 1.31080000e+06 1.02320000e+06 1.16370000e+06 1.08810000e+06 9.09800000e+05 9.48720000e+05 7.83230000e+05 8.02460000e+05 4.68750000e+05 2.33140000e+05 1.33490000e+05 8.40310000e+04 4.00330000e+04 3.01010000e+04 7.86080000e+04 5.98780000e+04 8.33820000e+04 8.07620000e+04 7.36430000e+04 8.33740000e+04 3.34870000e+04 1.56100000e+04 5.20760000e+03 2.36070000e+03 1.27080000e+03 7.63910000e+02 7.16240000e+02 3.69850000e+03 1.88560000e+03 1.03770000e+03 3.44350000e+02 1.56660000e+02 5.24830000e+01 2.48610000e+01 1.42800000e+01 9.25830000e+00 4.86020000e+00 3.04990000e+00 1.40390000e+00] JM2 = 1.04277863267 JM3 = 1.13731430805 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.99810000e+03 1.54490000e+03 8.55980000e+02 2.86340000e+02 1.30690000e+02 4.39110000e+01 2.08360000e+01 1.19840000e+01 7.77860000e+00 4.09130000e+00 2.57100000e+00 1.18600000e+00] JM1 = 1.02455217497 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.18360000e+05 7.73070000e+05 9.69560000e+05 7.98860000e+05 9.43310000e+05 8.79790000e+05 7.33840000e+05 7.75840000e+05 6.39860000e+05 6.61640000e+05 3.85300000e+05 1.90760000e+05 1.08780000e+05 6.82450000e+04 3.23440000e+04 2.42720000e+04 2.37680000e+04 1.80560000e+04 1.79750000e+04 1.76780000e+04 1.60110000e+04 1.56760000e+04 6.08660000e+03 2.79320000e+03 9.19560000e+02 4.14450000e+02 2.22420000e+02 1.33440000e+02 1.25090000e+02 1.22320000e+02 5.93890000e+01 3.16370000e+01 1.00840000e+01 4.51060000e+00 1.48790000e+00 6.98330000e-01 3.98080000e-01 2.56430000e-01 1.33090000e-01 8.28200000e-02 3.76270000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.91290000e+04 3.74450000e+04 6.10480000e+04 5.87950000e+04 5.37350000e+04 6.38810000e+04 2.58780000e+04 1.21050000e+04 4.04860000e+03 1.83690000e+03 9.89220000e+02 5.94720000e+02 5.57620000e+02 5.45300000e+02 2.65320000e+02 1.41520000e+02 4.51720000e+01 2.02170000e+01 6.67280000e+00 3.13350000e+00 1.78730000e+00 1.15200000e+00 5.98760000e-01 3.72960000e-01 1.69740000e-01] JM4 = 1.17035714286 JM5 = 1.84154920087 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.37690000e+04 2.21220000e+04 2.04460000e+04 1.99750000e+04 7.88550000e+03 3.53770000e+03 1.09130000e+03 4.61650000e+02 2.34100000e+02 1.33630000e+02 1.24460000e+02 1.21440000e+02 5.47540000e+01 2.73210000e+01 7.75570000e+00 3.21500000e+00 9.64010000e-01 4.26370000e-01 2.33100000e-01 1.45570000e-01 7.23010000e-02 4.37430000e-02 1.91800000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.91290000e+04 3.74450000e+04 3.72800000e+04 3.66730000e+04 3.32900000e+04 3.26060000e+04 1.19400000e+04 5.10350000e+03 1.47190000e+03 5.92560000e+02 2.88690000e+02 1.59300000e+02 1.47720000e+02 1.43910000e+02 6.17520000e+01 2.94680000e+01 7.69580000e+00 3.00880000e+00 8.36990000e-01 3.54670000e-01 1.89090000e-01 1.16320000e-01 5.69260000e-02 3.42280000e-02 1.49190000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.13000000e+04 6.05210000e+03 3.46430000e+03 1.48540000e+03 7.82700000e+02 4.66430000e+02 3.01800000e+02 2.85430000e+02 2.79960000e+02 1.48810000e+02 8.47310000e+01 2.97200000e+01 1.39930000e+01 4.87180000e+00 2.35240000e+00 1.36510000e+00 8.90080000e-01 4.69530000e-01 2.94990000e-01 1.35640000e-01] all other = [ 8.63880000e+05 3.84990000e+05 3.71030000e+05 3.64900000e+05 3.46970000e+05 3.41200000e+05 2.24290000e+05 2.20420000e+05 2.08260000e+05 1.75960000e+05 1.72880000e+05 1.43370000e+05 1.40830000e+05 8.34470000e+04 4.23770000e+04 2.47100000e+04 1.57870000e+04 7.68980000e+03 5.82810000e+03 5.71100000e+03 4.37770000e+03 4.35880000e+03 4.28920000e+03 3.89670000e+03 3.81770000e+03 1.52230000e+03 7.11640000e+02 2.39510000e+02 1.09360000e+02 5.92050000e+01 3.57450000e+01 3.35330000e+01 3.27990000e+01 1.60470000e+01 8.59770000e+00 2.76330000e+00 1.24230000e+00 4.11730000e-01 1.93740000e-01 1.10610000e-01 7.13170000e-02 3.70680000e-02 2.30800000e-02 1.04950000e-02] [Yb.binding] K = 61.4583 L1 = 10.4568 M5 = 1.5284 M4 = 1.5781 M1 = 2.3691 L3 = 8.9335 M3 = 1.9352 M2 = 2.1612 L2 = 9.9931 [Dy] JL1 = 1.13189553148 JL3 = 2.66670592739 JL2 = 1.34424257682 energy = [ 1.00000000e+00 1.29800000e+00 1.30840000e+00 1.33520000e+00 1.34590000e+00 1.50000000e+00 1.66040000e+00 1.67370000e+00 1.82950000e+00 1.84410000e+00 2.00000000e+00 2.01690000e+00 2.03300000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 7.77300000e+00 7.83520000e+00 8.00000000e+00 8.58250000e+00 8.65120000e+00 9.00530000e+00 9.07740000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 5.38180000e+01 5.42490000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 5.33600777415 M5 = [ 0.00000000e+00 0.00000000e+00 3.90860000e+05 9.09370000e+05 9.23630000e+05 7.03830000e+05 5.42130000e+05 5.31140000e+05 4.21790000e+05 4.13090000e+05 3.35990000e+05 3.28650000e+05 3.21850000e+05 1.07460000e+05 4.47610000e+04 2.20180000e+04 1.20980000e+04 5.02420000e+03 4.88740000e+03 4.54710000e+03 3.55810000e+03 3.46000000e+03 3.00500000e+03 2.92170000e+03 2.07160000e+03 4.70110000e+02 1.57730000e+02 3.22190000e+01 1.01570000e+01 4.10260000e+00 3.03790000e+00 2.94050000e+00 1.94690000e+00 5.99090000e-01 2.40800000e-01 4.71830000e-02 1.53990000e-02 3.44410000e-03 1.28550000e-03 6.28660000e-04 3.63820000e-04 1.66380000e-04 9.66980000e-05 3.95090000e-05] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.43450000e+05 4.88290000e+05 3.77100000e+05 3.69570000e+05 2.94520000e+05 2.88530000e+05 2.35320000e+05 2.30170000e+05 2.25420000e+05 7.66610000e+04 3.22950000e+04 1.60330000e+04 8.87970000e+03 3.73130000e+03 3.63120000e+03 3.38190000e+03 2.65520000e+03 2.58290000e+03 2.24760000e+03 2.18620000e+03 1.55770000e+03 3.61400000e+02 1.23420000e+02 2.59380000e+01 8.36540000e+00 3.44450000e+00 2.56750000e+00 2.48690000e+00 1.66190000e+00 5.25440000e-01 2.15720000e-01 4.37730000e-02 1.45420000e-02 3.26930000e-03 1.19950000e-03 5.77830000e-04 3.26520000e-04 1.39540000e-04 7.66190000e-05 2.91860000e-05] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.97910000e+04 2.32960000e+04 1.48120000e+04 1.01560000e+04 7.35370000e+03 4.55420000e+03 4.48580000e+03 4.31150000e+03 3.76980000e+03 3.71260000e+03 3.43680000e+03 3.38410000e+03 2.80060000e+03 1.23260000e+03 6.69550000e+02 2.72240000e+02 1.39740000e+02 8.19860000e+01 6.85620000e+01 6.72410000e+01 5.25050000e+01 2.55510000e+01 1.44280000e+01 4.99800000e+00 2.33550000e+00 8.05290000e-01 3.86400000e-01 2.23260000e-01 1.45130000e-01 7.62510000e-02 4.78270000e-02 2.19900000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.80160000e+05 1.57160000e+05 1.55510000e+05 1.37660000e+05 1.35810000e+05 1.34070000e+05 6.96510000e+04 3.97650000e+04 2.48210000e+04 1.65220000e+04 8.97730000e+03 8.80490000e+03 8.36950000e+03 7.04350000e+03 6.90590000e+03 6.24960000e+03 6.12600000e+03 4.79560000e+03 1.63880000e+03 7.31790000e+02 2.21940000e+02 9.18460000e+01 4.55340000e+01 3.60240000e+01 3.51180000e+01 2.54240000e+01 9.99980000e+00 4.81180000e+00 1.26930000e+00 4.98360000e-01 1.39110000e-01 5.90430000e-02 3.15400000e-02 1.93790000e-02 9.49710000e-03 5.72380000e-03 2.50350000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.56490000e+04 5.93820000e+04 5.88680000e+04 5.83580000e+04 3.36580000e+04 2.04730000e+04 1.33010000e+04 9.12140000e+03 5.16330000e+03 5.07070000e+03 4.83570000e+03 4.11060000e+03 4.03480000e+03 3.67290000e+03 3.60460000e+03 2.86300000e+03 1.03710000e+03 4.82870000e+02 1.55650000e+02 6.74240000e+01 3.46910000e+01 2.77940000e+01 2.71320000e+01 1.99900000e+01 8.28320000e+00 4.15760000e+00 1.18700000e+00 4.92580000e-01 1.47510000e-01 6.50990000e-02 3.55340000e-02 2.21680000e-02 1.09860000e-02 6.63230000e-03 2.90340000e-03] total = [ 6.70170000e+05 4.05950000e+05 7.90410000e+05 1.29300000e+06 1.54470000e+06 1.49510000e+06 1.16440000e+06 1.32200000e+06 1.07300000e+06 1.11900000e+06 9.32950000e+05 9.15110000e+05 9.38310000e+05 3.76780000e+05 1.85630000e+05 1.05860000e+05 6.64370000e+04 3.39610000e+04 9.05640000e+04 8.69610000e+04 7.14990000e+04 9.61120000e+04 8.70310000e+04 9.85100000e+04 7.72870000e+04 2.67580000e+04 1.23740000e+04 4.08770000e+03 1.84120000e+03 9.86820000e+02 8.02660000e+02 4.28300000e+03 3.27440000e+03 1.53470000e+03 8.38000000e+02 2.74240000e+02 1.23730000e+02 4.10250000e+01 1.93060000e+01 1.10400000e+01 7.13590000e+00 3.73340000e+00 2.33990000e+00 1.07770000e+00] JM2 = 1.04287045666 JM3 = 1.13534867743 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.49820000e+03 2.68330000e+03 1.27240000e+03 6.98730000e+02 2.30130000e+02 1.04100000e+02 3.45980000e+01 1.63030000e+01 9.33330000e+00 6.03850000e+00 3.16440000e+00 1.98570000e+00 9.16310000e-01] JM1 = 1.02535214346 M = [ 0.00000000e+00 0.00000000e+00 3.90860000e+05 9.09370000e+05 1.16710000e+06 1.19210000e+06 9.19230000e+05 1.08090000e+06 8.73470000e+05 9.22780000e+05 7.68350000e+05 7.53500000e+05 7.79490000e+05 3.10720000e+05 1.52100000e+05 8.63290000e+04 5.39750000e+04 2.74500000e+04 2.68800000e+04 2.54460000e+04 2.11370000e+04 2.06960000e+04 1.86120000e+04 1.82230000e+04 1.40890000e+04 4.74010000e+03 2.16540000e+03 7.07980000e+02 3.17530000e+02 1.69760000e+02 1.37990000e+02 1.34920000e+02 1.01530000e+02 4.49580000e+01 2.38530000e+01 7.54530000e+00 3.35640000e+00 1.09860000e+00 5.13030000e-01 2.91540000e-01 1.87370000e-01 9.70410000e-02 6.03560000e-02 2.74650000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.73040000e+04 5.54630000e+04 4.53010000e+04 7.04570000e+04 6.39440000e+04 7.59020000e+04 5.97790000e+04 2.08320000e+04 9.65640000e+03 3.19530000e+03 1.44000000e+03 7.71930000e+02 6.27890000e+02 6.13970000e+02 4.62430000e+02 2.05150000e+02 1.08950000e+02 3.44970000e+01 1.53500000e+01 5.02560000e+00 2.34760000e+00 1.33470000e+00 8.58150000e-01 4.45030000e-01 2.77040000e-01 1.26250000e-01] JM4 = 1.19466357309 JM5 = 1.94706244611 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.61010000e+04 2.39640000e+04 2.34140000e+04 1.82960000e+04 6.07460000e+03 2.67890000e+03 8.06820000e+02 3.35920000e+02 1.68270000e+02 1.33760000e+02 1.30470000e+02 9.51390000e+01 3.84250000e+01 1.89710000e+01 5.28950000e+00 2.16760000e+00 6.40780000e-01 2.80990000e-01 1.52850000e-01 9.50020000e-02 4.69290000e-02 2.82960000e-02 1.23490000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.73040000e+04 5.54630000e+04 4.53010000e+04 4.43550000e+04 3.99800000e+04 3.91640000e+04 3.02340000e+04 9.35520000e+03 3.94180000e+03 1.11640000e+03 4.44010000e+02 2.14470000e+02 1.68350000e+02 1.63980000e+02 1.17530000e+02 4.50920000e+01 2.13550000e+01 5.50740000e+00 2.13660000e+00 5.89190000e-01 2.48600000e-01 1.32350000e-01 8.13060000e-02 3.98050000e-02 2.39680000e-02 1.04920000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.33240000e+04 1.12480000e+04 5.40230000e+03 3.03570000e+03 1.27220000e+03 6.60030000e+02 3.89180000e+02 3.25780000e+02 3.19520000e+02 2.49760000e+02 1.21630000e+02 6.86250000e+01 2.37000000e+01 1.10460000e+01 3.79570000e+00 1.81800000e+00 1.04950000e+00 6.81840000e-01 3.58290000e-01 2.24780000e-01 1.03410000e-01] all other = [ 6.70170000e+05 4.05950000e+05 3.99550000e+05 3.83670000e+05 3.77580000e+05 3.02930000e+05 2.45220000e+05 2.41140000e+05 1.99560000e+05 1.96180000e+05 1.64600000e+05 1.61610000e+05 1.58810000e+05 6.60560000e+04 3.35280000e+04 1.95320000e+04 1.24630000e+04 6.51030000e+03 6.38010000e+03 6.05210000e+03 5.06100000e+03 4.95900000e+03 4.47570000e+03 4.38520000e+03 3.41950000e+03 1.18610000e+03 5.51770000e+02 1.84370000e+02 8.37290000e+01 4.51370000e+01 3.67810000e+01 3.59730000e+01 2.71580000e+01 1.21250000e+01 6.46820000e+00 2.06240000e+00 9.21210000e-01 3.02930000e-01 1.41800000e-01 8.06920000e-02 5.19040000e-02 2.69180000e-02 1.67540000e-02 7.62870000e-03] [Dy.binding] K = 53.8718 L1 = 9.0143 M5 = 1.2993 M4 = 1.3366 M1 = 2.0189 L3 = 7.7808 M3 = 1.6621 M2 = 1.8313 L2 = 8.5911 [I] JM1 = 1.02489941104 JL1 = 1.13102178582 JL3 = 2.9109895019 JL2 = 1.33035392489 energy = [ 1.00000000e+00 1.05460000e+00 1.06300000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 4.54980000e+00 4.58620000e+00 4.85280000e+00 4.89160000e+00 5.00000000e+00 5.15730000e+00 5.19850000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 3.31340000e+01 3.33990000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 1.10340000e+05 1.05210000e+05 1.04340000e+05 6.80750000e+04 4.31800000e+04 2.01290000e+04 1.09480000e+04 8.19830000e+03 8.05030000e+03 7.06930000e+03 6.93980000e+03 6.59480000e+03 6.13280000e+03 6.01850000e+03 4.26880000e+03 2.07530000e+03 1.15380000e+03 3.75060000e+02 1.62270000e+02 4.74470000e+01 3.48370000e+01 3.39800000e+01 1.92600000e+01 9.44490000e+00 5.24220000e+00 2.05390000e+00 9.89910000e-01 2.64260000e-01 1.05130000e-01 2.99120000e-02 1.28330000e-02 6.86530000e-03 4.21790000e-03 2.05490000e-03 1.22620000e-03 5.28880000e-04] M = [ 1.64280000e+06 1.46960000e+06 1.51610000e+06 7.05810000e+05 3.56400000e+05 1.30500000e+05 6.25970000e+04 4.48250000e+04 4.39050000e+04 3.78870000e+04 3.71050000e+04 3.50370000e+04 3.23050000e+04 3.16360000e+04 2.16830000e+04 1.00720000e+04 5.51480000e+03 1.81690000e+03 8.17350000e+02 2.61610000e+02 1.97450000e+02 1.93030000e+02 1.15570000e+02 6.10440000e+01 3.61420000e+01 1.57430000e+01 8.24200000e+00 2.54140000e+00 1.10940000e+00 3.53840000e-01 1.62470000e-01 9.13360000e-02 5.83040000e-02 3.00240000e-02 1.86560000e-02 8.54100000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.03760000e+05 9.32610000e+04 1.40030000e+05 1.34530000e+05 1.24140000e+05 1.46290000e+05 1.03040000e+05 4.86430000e+04 2.69630000e+04 8.99450000e+03 4.06370000e+03 1.30460000e+03 9.84970000e+02 9.62970000e+02 5.76880000e+02 3.04860000e+02 1.80550000e+02 7.86470000e+01 4.11700000e+01 1.26870000e+01 5.53550000e+00 1.76430000e+00 8.10190000e-01 4.55460000e-01 2.90770000e-01 1.49800000e-01 9.31410000e-02 4.26740000e-02] M5 = [ 7.59730000e+05 6.69480000e+05 6.56680000e+05 2.64230000e+05 1.15150000e+05 3.28790000e+04 1.27800000e+04 8.25420000e+03 8.03140000e+03 6.61010000e+03 6.43020000e+03 5.95980000e+03 5.35120000e+03 5.20430000e+03 3.13910000e+03 1.10590000e+03 4.79630000e+02 9.94930000e+01 3.14060000e+01 5.92390000e+00 3.91130000e+00 3.78280000e+00 1.77150000e+00 6.88890000e-01 3.17790000e-01 9.38940000e-02 3.67070000e-02 6.88230000e-03 2.18760000e-03 4.72080000e-04 1.74070000e-04 8.53930000e-05 4.95370000e-05 2.22370000e-05 1.31060000e-05 5.31910000e-06] M4 = [ 5.19840000e+05 4.58700000e+05 4.50090000e+05 1.83240000e+05 8.04300000e+04 2.32110000e+04 9.09510000e+03 5.89610000e+03 5.73840000e+03 4.73090000e+03 4.60320000e+03 4.26920000e+03 3.83680000e+03 3.73240000e+03 2.26150000e+03 8.04580000e+02 3.51850000e+02 7.42590000e+01 2.37750000e+01 4.58990000e+00 3.04990000e+00 2.95120000e+00 1.39910000e+00 5.52960000e-01 2.58670000e-01 7.81910000e-02 3.11100000e-02 5.99960000e-03 1.93060000e-03 4.20120000e-04 1.51080000e-04 7.11690000e-05 3.97320000e-05 1.71130000e-05 9.26370000e-06 3.53170000e-06] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.87260000e+04 4.81930000e+04 4.42100000e+04 4.33170000e+04 3.03130000e+04 1.37140000e+04 7.28120000e+03 2.19600000e+03 9.08950000e+02 2.52580000e+02 1.83510000e+02 1.78840000e+02 9.96180000e+01 4.79550000e+01 2.62700000e+01 1.01150000e+01 4.82120000e+00 1.26700000e+00 4.99950000e-01 1.41110000e-01 6.01920000e-02 3.21220000e-02 1.97010000e-02 9.56930000e-03 5.70570000e-03 2.45900000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.03760000e+05 9.32610000e+04 9.13030000e+04 8.63370000e+04 7.99320000e+04 7.83500000e+04 5.33770000e+04 2.34150000e+04 1.21820000e+04 3.54030000e+03 1.42470000e+03 3.79370000e+02 2.72540000e+02 2.65380000e+02 1.44740000e+02 6.77750000e+01 3.62490000e+01 1.34070000e+01 6.18190000e+00 1.52550000e+00 5.76080000e-01 1.54150000e-01 6.40890000e-02 3.38590000e-02 2.07380000e-02 1.01640000e-02 6.14570000e-03 2.71920000e-03] M3 = [ 2.52880000e+05 2.36160000e+05 2.33670000e+05 1.42750000e+05 8.64830000e+04 3.83980000e+04 2.02780000e+04 1.50010000e+04 1.47190000e+04 1.28540000e+04 1.26090000e+04 1.19560000e+04 1.10870000e+04 1.08720000e+04 7.61050000e+03 3.60530000e+03 1.96460000e+03 6.14800000e+02 2.58520000e+02 7.23860000e+01 5.25500000e+01 5.12100000e+01 2.84110000e+01 1.35470000e+01 7.33880000e+00 2.76050000e+00 1.28670000e+00 3.22420000e-01 1.22740000e-01 3.31150000e-02 1.37930000e-02 7.30370000e-03 4.47990000e-03 2.19560000e-03 1.32780000e-03 5.87680000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.46200000e+04 1.93540000e+04 1.15140000e+04 7.49980000e+03 3.25830000e+03 1.73010000e+03 6.72690000e+02 5.28930000e+02 5.18760000e+02 3.32520000e+02 1.89130000e+02 1.18030000e+02 5.51260000e+01 3.01670000e+01 9.89430000e+00 4.45950000e+00 1.46910000e+00 6.85910000e-01 3.89480000e-01 2.50330000e-01 1.30070000e-01 8.12890000e-02 3.74950000e-02] JK = 5.9141553999 M1 = [ 0.00000000e+00 0.00000000e+00 7.12920000e+04 4.75180000e+04 3.11500000e+04 1.58810000e+04 9.49590000e+03 7.47580000e+03 7.36510000e+03 6.62290000e+03 6.52360000e+03 6.25760000e+03 5.89810000e+03 5.80860000e+03 4.40280000e+03 2.48060000e+03 1.56490000e+03 6.53260000e+02 3.41380000e+02 1.31270000e+02 1.03100000e+02 1.01110000e+02 6.47260000e+01 3.68100000e+01 2.29850000e+01 1.07560000e+01 5.89760000e+00 1.94180000e+00 8.77460000e-01 2.89930000e-01 1.35520000e-01 7.70100000e-02 4.95170000e-02 2.57340000e-02 1.60800000e-02 7.41560000e-03] all other = [ 2.72230000e+05 2.45330000e+05 2.41490000e+05 1.18470000e+05 6.28060000e+04 2.45100000e+04 1.22300000e+04 8.89860000e+03 8.72400000e+03 7.57980000e+03 7.43020000e+03 7.03340000e+03 6.50740000e+03 6.37820000e+03 4.43710000e+03 2.11610000e+03 1.18030000e+03 4.00380000e+02 1.83260000e+02 5.98470000e+01 4.53670000e+01 4.43670000e+01 2.67570000e+01 1.42480000e+01 8.48600000e+00 3.72540000e+00 1.96000000e+00 6.08920000e-01 2.66900000e-01 8.54840000e-02 3.93480000e-02 2.21470000e-02 1.41490000e-02 7.29330000e-03 4.53500000e-03 2.07790000e-03] total = [ 1.91500000e+06 1.71490000e+06 1.75760000e+06 8.24290000e+05 4.19200000e+05 1.55010000e+05 7.48260000e+04 5.37240000e+04 1.56390000e+05 1.38730000e+05 1.84560000e+05 1.76600000e+05 1.62950000e+05 1.84300000e+05 1.29160000e+05 6.08310000e+04 3.36580000e+04 1.12120000e+04 5.06430000e+03 1.62610000e+03 1.22780000e+03 7.26140000e+03 4.53270000e+03 2.50020000e+03 1.51940000e+03 6.82760000e+02 3.63480000e+02 1.14210000e+02 5.02210000e+01 1.61140000e+01 7.42840000e+00 4.18990000e+00 2.68330000e+00 1.39020000e+00 8.68340000e-01 4.01040000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.06110000e+03 3.81350000e+03 2.12010000e+03 1.29420000e+03 5.84640000e+02 3.12110000e+02 9.83700000e+01 4.33090000e+01 1.39110000e+01 6.41630000e+00 3.62090000e+00 2.32010000e+00 1.20310000e+00 7.52010000e-01 3.47750000e-01] [I.binding] K = 33.1668 L1 = 5.1624 M5 = 0.6292 M4 = 0.6414 M1 = 1.0556 L3 = 4.5543 M3 = 0.8698 M2 = 0.9274 L2 = 4.8576 [U] JL1 = 1.1329136632 JL3 = 2.33938050516 JL2 = 1.39031097948 energy = [ 1.00000000e+00 1.02950000e+00 1.03770000e+00 1.26360000e+00 1.27370000e+00 1.42090000e+00 1.43230000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.55090000e+00 3.57930000e+00 3.73270000e+00 3.76260000e+00 4.00000000e+00 4.28490000e+00 4.31930000e+00 5.00000000e+00 5.17770000e+00 5.21910000e+00 5.52360000e+00 5.56790000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.71630000e+01 1.73010000e+01 2.00000000e+01 2.10260000e+01 2.11940000e+01 2.17770000e+01 2.19510000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.16170000e+02 1.17100000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.15641745946 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.85290000e+05 2.52430000e+05 2.47270000e+05 2.13180000e+05 1.78040000e+05 1.74190000e+05 1.14490000e+05 1.03330000e+05 1.00930000e+05 8.58850000e+04 8.39520000e+04 6.72760000e+04 2.80090000e+04 1.37960000e+04 3.58610000e+03 2.25600000e+03 2.19430000e+03 1.32040000e+03 1.10600000e+03 1.07510000e+03 9.76030000e+02 9.48670000e+02 3.06080000e+02 1.05150000e+02 4.52560000e+01 2.25660000e+01 7.46510000e+00 3.16260000e+00 1.77840000e+00 1.72480000e+00 6.71040000e-01 2.29560000e-01 5.38380000e-02 2.05100000e-02 1.01560000e-02 5.95130000e-03 2.70120000e-03 1.52940000e-03 6.32710000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.80830000e+05 1.53560000e+05 1.30290000e+05 1.27680000e+05 8.54920000e+04 7.73620000e+04 7.56090000e+04 6.40970000e+04 6.27220000e+04 5.09500000e+04 2.16930000e+04 1.08730000e+04 2.92450000e+03 1.86150000e+03 1.81210000e+03 1.10540000e+03 9.30670000e+02 9.05400000e+02 8.24200000e+02 8.01700000e+02 2.67090000e+02 9.47270000e+01 4.18540000e+01 2.13400000e+01 7.31890000e+00 3.18880000e+00 1.82650000e+00 1.77330000e+00 7.09930000e-01 2.49760000e-01 5.99720000e-02 2.28650000e-02 1.12110000e-02 6.50090000e-03 2.86210000e-03 1.59660000e-03 6.23160000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.21750000e+04 1.08730000e+04 7.26740000e+03 5.17060000e+03 2.58350000e+03 2.01870000e+03 1.98910000e+03 1.51530000e+03 1.37630000e+03 1.35530000e+03 1.28600000e+03 1.26630000e+03 6.80390000e+02 3.73840000e+02 2.31070000e+02 1.54420000e+02 8.03380000e+01 4.77650000e+01 3.35000000e+01 3.28700000e+01 1.81480000e+01 9.04040000e+00 3.39700000e+00 1.72270000e+00 1.03310000e+00 6.88850000e-01 3.72650000e-01 2.36540000e-01 1.08740000e-01] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.12240000e+04 5.66310000e+04 5.34400000e+04 5.26990000e+04 4.74490000e+04 4.67290000e+04 4.04000000e+04 2.30180000e+04 1.43750000e+04 5.68120000e+03 4.09390000e+03 4.01450000e+03 2.79320000e+03 2.46020000e+03 2.41060000e+03 2.24860000e+03 2.20290000e+03 9.64820000e+02 4.35840000e+02 2.30620000e+02 1.35530000e+02 5.75620000e+01 2.92870000e+01 1.85320000e+01 1.80850000e+01 8.46170000e+00 3.51140000e+00 1.04220000e+00 4.55540000e-01 2.46470000e-01 1.52620000e-01 7.46660000e-02 4.45580000e-02 1.89620000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.93500000e+04 1.82220000e+04 1.80650000e+04 1.68120000e+04 1.10850000e+04 7.64400000e+03 3.52670000e+03 2.66160000e+03 2.61700000e+03 1.90900000e+03 1.70870000e+03 1.67860000e+03 1.57940000e+03 1.55130000e+03 7.48550000e+02 3.68960000e+02 2.08840000e+02 1.29690000e+02 6.01170000e+01 3.27510000e+01 2.17000000e+01 2.12290000e+01 1.07160000e+01 4.84740000e+00 1.61280000e+00 7.57630000e-01 4.30760000e-01 2.76520000e-01 1.42270000e-01 8.78580000e-02 3.97330000e-02] total = [ 2.61380000e+06 2.48270000e+06 2.60350000e+06 1.80830000e+06 1.80560000e+06 1.45690000e+06 1.46190000e+06 1.33150000e+06 7.32290000e+05 2.99660000e+05 2.03810000e+05 4.85380000e+05 4.34010000e+05 6.06350000e+05 5.21340000e+05 4.39900000e+05 5.02220000e+05 3.47920000e+05 3.18130000e+05 3.31000000e+05 2.87590000e+05 2.94210000e+05 2.45230000e+05 1.20230000e+05 6.85980000e+04 2.43050000e+04 1.71430000e+04 4.01040000e+04 2.69990000e+04 2.36350000e+04 3.28600000e+04 3.06590000e+04 3.47340000e+04 1.56590000e+04 7.38340000e+03 4.09160000e+03 2.51540000e+03 1.16090000e+03 6.35370000e+02 4.23610000e+02 1.76070000e+03 9.38130000e+02 4.48890000e+02 1.60060000e+02 7.89860000e+01 4.66700000e+01 3.08610000e+01 1.65690000e+01 1.04930000e+01 4.82960000e+00] JM2 = 1.04045515984 JM3 = 1.14166856104 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1346.1 725.75 350.65 126.12 62.563 37.111 24.614 13.274 8.4299 3.8927] JM1 = 1.02301888105 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.85290000e+05 2.52430000e+05 4.28100000e+05 3.66740000e+05 3.08330000e+05 3.73100000e+05 2.56610000e+05 2.34130000e+05 2.48590000e+05 2.15650000e+05 2.23640000e+05 1.86310000e+05 9.10720000e+04 5.18580000e+04 1.83020000e+04 1.28920000e+04 1.26270000e+04 8.64330000e+03 7.58190000e+03 7.42500000e+03 6.91420000e+03 6.77080000e+03 2.96690000e+03 1.37850000e+03 7.57630000e+02 4.63550000e+02 2.12800000e+02 1.16150000e+02 7.73370000e+01 7.56820000e+01 3.87060000e+01 1.78780000e+01 6.16580000e+00 2.97920000e+00 1.73170000e+00 1.13040000e+00 5.95140000e-01 3.72080000e-01 1.68690000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.33110000e+04 1.54900000e+04 1.35340000e+04 2.29670000e+04 2.14450000e+04 2.57100000e+04 1.16950000e+04 5.53790000e+03 3.07590000e+03 1.89330000e+03 8.74890000e+02 4.79090000e+02 3.19490000e+02 3.12680000e+02 1.60210000e+02 7.41190000e+01 2.56130000e+01 1.23980000e+01 7.21840000e+00 4.71880000e+00 2.49040000e+00 1.55970000e+00 7.08840000e-01] JM4 = 1.39708762471 JM5 = 2.38153181885 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 9.72020000e+03 9.13370000e+03 8.99400000e+03 4.09030000e+03 1.90420000e+03 1.03690000e+03 6.25330000e+02 2.78260000e+02 1.47500000e+02 9.61450000e+01 9.39800000e+01 4.63350000e+01 2.04960000e+01 6.65900000e+00 3.09080000e+00 1.74510000e+00 1.11550000e+00 5.71160000e-01 3.51880000e-01 1.58570000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.33110000e+04 1.54900000e+04 1.35340000e+04 1.32470000e+04 1.23110000e+04 1.20480000e+04 4.91010000e+03 2.09580000e+03 1.06520000e+03 6.07710000e+02 2.47780000e+02 1.22750000e+02 7.64500000e+01 7.45470000e+01 3.41030000e+01 1.38560000e+01 4.02450000e+00 1.74060000e+00 9.36350000e-01 5.77900000e-01 2.81720000e-01 1.67830000e-01 7.15930000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.66860000e+03 2.69460000e+03 1.53790000e+03 9.73850000e+02 6.60300000e+02 3.48850000e+02 2.08840000e+02 1.46890000e+02 1.44150000e+02 7.97770000e+01 3.97660000e+01 1.49300000e+01 7.56640000e+00 4.53700000e+00 3.02540000e+00 1.63750000e+00 1.04000000e+00 4.78680000e-01] all other = [ 2.61380000e+06 2.48270000e+06 2.60350000e+06 1.80830000e+06 1.80560000e+06 1.45690000e+06 1.46190000e+06 1.33150000e+06 7.32290000e+05 2.99660000e+05 2.03810000e+05 2.00090000e+05 1.81580000e+05 1.78250000e+05 1.54600000e+05 1.31570000e+05 1.29120000e+05 9.13060000e+04 8.39970000e+04 8.24090000e+04 7.19330000e+04 7.05680000e+04 5.89230000e+04 2.91570000e+04 1.67400000e+04 6.00250000e+03 4.25140000e+03 4.16520000e+03 2.86650000e+03 2.51870000e+03 2.46720000e+03 2.29960000e+03 2.25250000e+03 9.97110000e+02 4.67000000e+02 2.58070000e+02 1.58550000e+02 7.32220000e+01 4.01270000e+01 2.67850000e+01 2.62200000e+01 1.34610000e+01 6.24020000e+00 2.16060000e+00 1.04590000e+00 6.08810000e-01 3.97700000e-01 2.09560000e-01 1.31050000e-01 5.94290000e-02] [U.binding] K = 116.2831 L1 = 21.7989 M5 = 3.5545 M4 = 3.7365 M1 = 5.5292 L3 = 17.1804 M3 = 4.2892 M2 = 5.1828 L2 = 21.0466 [Y] JL1 = 1.11857768221 JL3 = 3.80414198187 JL2 = 1.3686795304 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.07930000e+00 2.09600000e+00 2.15760000e+00 2.17490000e+00 2.35260000e+00 2.37150000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.69840000e+01 1.71200000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 6.92480000e+04 3.27390000e+04 1.78840000e+04 1.64110000e+04 1.61220000e+04 1.51090000e+04 1.48400000e+04 1.24120000e+04 1.21870000e+04 6.97480000e+03 3.37750000e+03 1.86770000e+03 1.13060000e+03 4.96740000e+02 2.56220000e+02 7.31890000e+01 4.92700000e+01 4.80250000e+01 2.90440000e+01 7.57810000e+00 2.85450000e+00 1.32530000e+00 7.04820000e-01 2.59120000e-01 1.19280000e-01 2.95850000e-02 1.12390000e-02 3.02590000e-03 1.25510000e-03 6.57800000e-04 3.98030000e-04 1.90060000e-04 1.12100000e-04 4.75840000e-05] M = [ 5.31270000e+05 2.02180000e+05 9.92170000e+04 8.99830000e+04 8.81950000e+04 8.19800000e+04 8.03460000e+04 6.58500000e+04 6.45280000e+04 3.52940000e+04 1.66270000e+04 9.18290000e+03 5.62150000e+03 2.56800000e+03 1.38860000e+03 4.47570000e+02 3.15230000e+02 3.08190000e+02 1.98230000e+02 6.20200000e+01 2.69330000e+01 1.40260000e+01 8.20300000e+00 3.49950000e+00 1.80110000e+00 5.37690000e-01 2.29210000e-01 7.08710000e-02 3.19390000e-02 1.77430000e-02 1.12440000e-02 5.75470000e-03 3.57490000e-03 1.65030000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.78830000e+05 2.54060000e+05 3.82700000e+05 3.18100000e+05 3.65860000e+05 2.04360000e+05 9.79510000e+04 5.44450000e+04 3.34050000e+04 1.52680000e+04 8.24350000e+03 2.64570000e+03 1.86110000e+03 1.81950000e+03 1.16860000e+03 3.64350000e+02 1.57860000e+02 8.20650000e+01 4.79300000e+01 2.04090000e+01 1.04900000e+01 3.12490000e+00 1.33130000e+00 4.11070000e-01 1.85130000e-01 1.02820000e-01 6.51540000e-02 3.33450000e-02 2.07180000e-02 9.56860000e-03] M5 = [ 1.61920000e+05 4.69710000e+04 1.83770000e+04 1.61310000e+04 1.57030000e+04 1.42390000e+04 1.38600000e+04 1.06040000e+04 1.03180000e+04 4.53460000e+03 1.59460000e+03 6.89600000e+02 3.41990000e+02 1.09930000e+02 4.45310000e+01 8.20860000e+00 4.83640000e+00 4.67420000e+00 2.39580000e+00 4.10300000e-01 1.15740000e-01 4.31630000e-02 1.92690000e-02 5.38870000e-03 2.03570000e-03 3.62140000e-04 1.11620000e-04 2.34780000e-05 8.45730000e-06 4.07540000e-06 2.38090000e-06 1.06620000e-06 6.31710000e-07 2.72200000e-07] M4 = [ 1.10940000e+05 3.23650000e+04 1.27150000e+04 1.11680000e+04 1.08730000e+04 9.86400000e+03 9.60240000e+03 7.35580000e+03 7.15810000e+03 3.15820000e+03 1.11640000e+03 4.84950000e+02 2.41450000e+02 7.81440000e+01 3.18460000e+01 5.94700000e+00 3.52000000e+00 3.40290000e+00 1.75500000e+00 3.06020000e-01 8.76110000e-02 3.30830000e-02 1.49310000e-02 4.28350000e-03 1.64190000e-03 2.98030000e-04 9.25190000e-05 1.92230000e-05 6.76970000e-06 3.15610000e-06 1.73280000e-06 7.40490000e-07 3.95530000e-07 1.54630000e-07] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.32850000e+05 1.09430000e+05 1.07440000e+05 5.79970000e+04 2.63850000e+04 1.39630000e+04 8.17660000e+03 3.42440000e+03 1.71000000e+03 4.65060000e+02 3.09190000e+02 3.01150000e+02 1.79600000e+02 4.54840000e+01 1.68500000e+01 7.74020000e+00 4.08610000e+00 1.48810000e+00 6.81020000e-01 1.67270000e-01 6.32480000e-02 1.69450000e-02 7.00770000e-03 3.66520000e-03 2.21560000e-03 1.06030000e-03 6.25120000e-04 2.64950000e-04] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.78830000e+05 2.54060000e+05 2.49850000e+05 2.08670000e+05 2.04490000e+05 1.08320000e+05 4.86090000e+04 2.54190000e+04 1.47430000e+04 6.08720000e+03 3.00350000e+03 7.97980000e+02 5.26490000e+02 5.12540000e+02 3.02590000e+02 7.44280000e+01 2.69270000e+01 1.21190000e+01 6.28370000e+00 2.21870000e+00 9.89500000e-01 2.31330000e-01 8.45520000e-02 2.18120000e-02 8.90810000e-03 4.66690000e-03 2.84840000e-03 1.39080000e-03 8.42640000e-04 3.78890000e-04] M3 = [ 1.37840000e+05 6.35250000e+04 3.41710000e+04 3.12920000e+04 3.07290000e+04 2.87570000e+04 2.82350000e+04 2.35230000e+04 2.30860000e+04 1.30630000e+04 6.23890000e+03 3.41290000e+03 2.04740000e+03 8.86430000e+02 4.51780000e+02 1.26050000e+02 8.41910000e+01 8.20220000e+01 4.90970000e+01 1.24350000e+01 4.57270000e+00 2.07990000e+00 1.08640000e+00 3.87290000e-01 1.73770000e-01 4.09150000e-02 1.50200000e-02 3.89200000e-03 1.59210000e-03 8.34390000e-04 5.09540000e-04 2.49740000e-04 1.51330000e-04 6.78430000e-05] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.39330000e+04 3.80370000e+04 2.29570000e+04 1.50630000e+04 1.04860000e+04 5.75680000e+03 3.53010000e+03 1.38260000e+03 1.02540000e+03 1.00580000e+03 6.86400000e+02 2.44430000e+02 1.14080000e+02 6.22050000e+01 3.75600000e+01 1.67020000e+01 8.81960000e+00 2.72630000e+00 1.18350000e+00 3.72310000e-01 1.69210000e-01 9.44870000e-02 6.00900000e-02 3.08940000e-02 1.92510000e-02 8.92470000e-03] JK = 6.67611463535 M1 = [ 5.13220000e+04 2.65840000e+04 1.60690000e+04 1.49820000e+04 1.47680000e+04 1.40110000e+04 1.38090000e+04 1.19540000e+04 1.17790000e+04 7.56350000e+03 4.30000000e+03 2.72770000e+03 1.86000000e+03 9.96730000e+02 6.04200000e+02 2.34180000e+02 1.73410000e+02 1.70070000e+02 1.15940000e+02 4.12910000e+01 1.93030000e+01 1.05450000e+01 6.37760000e+00 2.84340000e+00 1.50440000e+00 4.66530000e-01 2.02750000e-01 6.39110000e-02 2.90760000e-02 1.62440000e-02 1.03330000e-02 5.31310000e-03 3.31050000e-03 1.53440000e-03] all other = [ 3.82440000e+04 1.74110000e+04 9.53050000e+03 8.76120000e+03 8.61070000e+03 8.08240000e+03 7.94260000e+03 6.67910000e+03 6.56180000e+03 3.85270000e+03 1.95580000e+03 1.13520000e+03 7.19990000e+02 3.45010000e+02 1.92530000e+02 6.50620000e+01 4.63680000e+01 4.53670000e+01 2.95930000e+01 9.54620000e+00 4.21620000e+00 2.21990000e+00 1.30830000e+00 5.63830000e-01 2.92060000e-01 8.79630000e-02 3.76930000e-02 1.17080000e-02 5.28850000e-03 2.94210000e-03 1.86620000e-03 9.56380000e-04 5.94770000e-04 2.75280000e-04] total = [ 5.69520000e+05 2.19600000e+05 1.08750000e+05 9.87450000e+04 3.75640000e+05 3.44120000e+05 4.70990000e+05 3.90630000e+05 4.36950000e+05 2.43500000e+05 1.16530000e+05 6.47630000e+04 3.97470000e+04 1.81810000e+04 9.82460000e+03 3.15830000e+03 2.22270000e+03 1.48390000e+04 9.97460000e+03 3.34980000e+03 1.50670000e+03 7.99630000e+02 4.73050000e+02 2.04410000e+02 1.05880000e+02 3.18060000e+01 1.35910000e+01 4.20660000e+00 1.89730000e+00 1.05530000e+00 6.69690000e-01 3.43750000e-01 2.14160000e-01 9.93710000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.26660000e+04 8.57820000e+03 2.91390000e+03 1.31770000e+03 7.01320000e+02 4.15610000e+02 1.79940000e+02 9.33010000e+01 2.80550000e+01 1.19930000e+01 3.71300000e+00 1.67500000e+00 9.31750000e-01 5.91420000e-01 3.03700000e-01 1.89270000e-01 8.78760000e-02] [Y.binding] K = 17.0008 L1 = 2.355 M5 = 0.1665 M4 = 0.1687 M1 = 0.3859 L3 = 2.0814 M3 = 0.2999 M2 = 0.3123 L2 = 2.1598 [Ac] JL1 = 1.13412223062 JL3 = 2.37072346917 JL2 = 1.38319227024 energy = [ 1.00000000e+00 1.10420000e+00 1.11300000e+00 1.25000000e+00 1.26000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.22030000e+00 3.24610000e+00 3.37590000e+00 3.40300000e+00 3.89970000e+00 3.93090000e+00 4.00000000e+00 4.65110000e+00 4.68830000e+00 4.97500000e+00 5.00000000e+00 5.01480000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.58660000e+01 1.59930000e+01 1.91450000e+01 1.92990000e+01 1.98490000e+01 2.00000000e+01 2.00080000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.07210000e+02 1.08070000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.29726437036 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.38250000e+05 2.88560000e+05 2.82830000e+05 2.00560000e+05 1.96190000e+05 1.86900000e+05 1.21150000e+05 1.18360000e+05 1.00080000e+05 9.86790000e+04 9.78600000e+04 5.74840000e+04 2.37490000e+04 1.15990000e+04 2.97270000e+03 2.44850000e+03 2.38160000e+03 1.26600000e+03 1.23070000e+03 1.11340000e+03 1.08380000e+03 1.08220000e+03 2.48090000e+02 8.44920000e+01 3.61290000e+01 1.79230000e+01 5.88780000e+00 2.47900000e+00 1.89370000e+00 1.83630000e+00 5.22430000e-01 1.77430000e-01 4.13830000e-02 1.57280000e-02 7.83030000e-03 4.55860000e-03 2.07020000e-03 1.17930000e-03 4.83980000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.14340000e+05 1.45860000e+05 1.42910000e+05 1.36560000e+05 8.99150000e+04 8.78950000e+04 7.40290000e+04 7.30290000e+04 7.24450000e+04 4.33380000e+04 1.82790000e+04 9.08480000e+03 2.40730000e+03 1.99290000e+03 1.93980000e+03 1.04790000e+03 1.01940000e+03 9.24680000e+02 9.00690000e+02 8.99410000e+02 2.14500000e+02 7.53330000e+01 3.30390000e+01 1.67470000e+01 5.69690000e+00 2.46490000e+00 1.89890000e+00 1.84300000e+00 5.44160000e-01 1.89850000e-01 4.52340000e-02 1.71660000e-02 8.46820000e-03 4.85420000e-03 2.12970000e-03 1.19660000e-03 4.62240000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.41210000e+04 1.40100000e+04 1.10290000e+04 7.15950000e+03 4.98530000e+03 2.44600000e+03 2.20370000e+03 2.17120000e+03 1.54420000e+03 1.52050000e+03 1.43990000e+03 1.41890000e+03 1.41780000e+03 6.29390000e+02 3.43030000e+02 2.10830000e+02 1.40230000e+02 7.24240000e+01 4.28180000e+01 3.62670000e+01 3.55820000e+01 1.61020000e+01 7.96250000e+00 2.96150000e+00 1.49160000e+00 8.90270000e-01 5.91600000e-01 3.18780000e-01 2.02000000e-01 9.28110000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.81110000e+04 7.70820000e+04 6.03660000e+04 5.95510000e+04 5.34710000e+04 5.29680000e+04 5.26720000e+04 3.75550000e+04 2.11480000e+04 1.30610000e+04 5.07950000e+03 4.42980000e+03 4.34400000e+03 2.76690000e+03 2.71140000e+03 2.52330000e+03 2.47480000e+03 2.47220000e+03 8.42840000e+02 3.77340000e+02 1.98330000e+02 1.15940000e+02 4.88480000e+01 2.47060000e+01 1.99450000e+01 1.94620000e+01 7.07030000e+00 2.91590000e+00 8.59760000e-01 3.74590000e-01 2.02620000e-01 1.25280000e-01 6.13200000e-02 3.66030000e-02 1.56410000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.22200000e+04 2.09080000e+04 2.07980000e+04 2.07350000e+04 1.66360000e+04 1.06870000e+04 7.19470000e+03 3.19980000e+03 2.83970000e+03 2.79140000e+03 1.87620000e+03 1.84290000e+03 1.72910000e+03 1.69960000e+03 1.69800000e+03 6.49770000e+02 3.15280000e+02 1.76410000e+02 1.08570000e+02 4.96510000e+01 2.67830000e+01 2.20640000e+01 2.15780000e+01 8.62120000e+00 3.85920000e+00 1.26770000e+00 5.91010000e-01 3.34640000e-01 2.13890000e-01 1.09540000e-01 6.75200000e-02 3.03990000e-02] total = [ 2.43380000e+06 2.02970000e+06 2.02900000e+06 1.62740000e+06 1.63490000e+06 1.15730000e+06 6.34720000e+05 2.59110000e+05 2.20470000e+05 5.54730000e+05 4.86420000e+05 6.91440000e+05 4.88060000e+05 5.56240000e+05 5.34030000e+05 3.64970000e+05 3.79810000e+05 3.28170000e+05 3.38330000e+05 3.35910000e+05 2.16790000e+05 1.06080000e+05 6.02820000e+04 2.12350000e+04 1.83560000e+04 4.35170000e+04 2.67020000e+04 3.69340000e+04 3.43940000e+04 3.90070000e+04 3.89740000e+04 1.37600000e+04 6.45080000e+03 3.55850000e+03 2.18010000e+03 1.00080000e+03 5.45590000e+02 4.51450000e+02 1.94000000e+03 8.36990000e+02 3.96930000e+02 1.40280000e+02 6.87920000e+01 4.04730000e+01 2.66780000e+01 1.42720000e+01 9.02490000e+00 4.15220000e+00] JM2 = 1.04066087624 JM3 = 1.13969593902 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1498.2 655.84 313.54 111.66 55.004 32.469 21.46 11.526 7.3074 3.3727] JM1 = 1.03095956364 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.38250000e+05 2.88560000e+05 4.97170000e+05 3.46420000e+05 4.17210000e+05 4.00540000e+05 2.71430000e+05 2.88030000e+05 2.48480000e+05 2.59600000e+05 2.57720000e+05 1.66040000e+05 8.10230000e+04 4.59240000e+04 1.61050000e+04 1.39150000e+04 1.36280000e+04 8.50130000e+03 8.32480000e+03 7.73040000e+03 7.57780000e+03 7.56960000e+03 2.58460000e+03 1.19550000e+03 6.54740000e+02 3.99410000e+02 1.82510000e+02 9.92510000e+01 8.20690000e+01 8.03010000e+01 3.28600000e+01 1.51050000e+01 5.17560000e+00 2.49010000e+00 1.44380000e+00 9.40170000e-01 4.93840000e-01 3.08500000e-01 1.39800000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.55370000e+04 1.54660000e+04 2.59300000e+04 2.41730000e+04 2.89870000e+04 2.89650000e+04 1.03300000e+04 4.86100000e+03 2.68660000e+03 1.64760000e+03 7.57130000e+02 4.12910000e+02 3.41690000e+02 3.34360000e+02 1.37150000e+02 6.31400000e+01 2.16740000e+01 1.04450000e+01 6.06490000e+00 3.95470000e+00 2.08200000e+00 1.30290000e+00 5.91680000e-01] JM4 = 1.42148760331 JM5 = 2.51612464281 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.07900000e+04 1.01350000e+04 9.97140000e+03 9.96160000e+03 3.50810000e+03 1.61250000e+03 8.69240000e+02 5.20310000e+02 2.28810000e+02 1.20230000e+02 9.83020000e+01 9.60610000e+01 3.72280000e+01 1.63130000e+01 5.23950000e+00 2.41520000e+00 1.35870000e+00 8.64880000e-01 4.40910000e-01 2.71200000e-01 1.21640000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.55370000e+04 1.54660000e+04 1.51400000e+04 1.40380000e+04 1.37550000e+04 1.37390000e+04 4.28190000e+03 1.81010000e+03 9.15120000e+02 5.20040000e+02 2.10730000e+02 1.03890000e+02 8.32720000e+01 8.11870000e+01 2.86460000e+01 1.15800000e+01 3.34500000e+00 1.44300000e+00 7.76390000e-01 4.78470000e-01 2.33410000e-01 1.39350000e-01 5.95590000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.26070000e+03 5.26430000e+03 2.53970000e+03 1.43840000e+03 9.02210000e+02 6.07200000e+02 3.17580000e+02 1.88780000e+02 1.60120000e+02 1.57110000e+02 7.12760000e+01 3.52470000e+01 1.30900000e+01 6.58630000e+00 3.92980000e+00 2.61140000e+00 1.40760000e+00 8.92380000e-01 4.10480000e-01] all other = [ 2.43380000e+06 2.02970000e+06 2.02900000e+06 1.62740000e+06 1.63490000e+06 1.15730000e+06 6.34720000e+05 2.59110000e+05 2.20470000e+05 2.16480000e+05 1.97860000e+05 1.94270000e+05 1.41650000e+05 1.39030000e+05 1.33490000e+05 9.35390000e+04 9.17840000e+04 7.96860000e+04 7.87380000e+04 7.81820000e+04 5.07480000e+04 2.50550000e+04 1.43580000e+04 5.12990000e+03 4.44170000e+03 4.35160000e+03 2.73500000e+03 2.67900000e+03 2.49050000e+03 2.44210000e+03 2.43940000e+03 8.45220000e+02 3.94320000e+02 2.17230000e+02 1.33110000e+02 6.12110000e+01 3.34280000e+01 2.76820000e+01 2.70890000e+01 1.11450000e+01 5.14220000e+00 1.76920000e+00 8.53100000e-01 4.95230000e-01 3.22720000e-01 1.69660000e-01 1.06050000e-01 4.80550000e-02] [Ac.binding] K = 107.3156 L1 = 19.8691 M5 = 3.2235 M4 = 3.3793 M1 = 4.98 L3 = 15.8815 M3 = 3.9036 M2 = 4.6557 L2 = 19.1644 [Ag] JL1 = 1.12380624624 JL3 = 3.24808555777 JL2 = 1.34873048336 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.34650000e+00 3.37330000e+00 3.52470000e+00 3.55300000e+00 3.77990000e+00 3.81020000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 2.54650000e+01 2.56690000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 9.95310000e+04 5.41150000e+04 3.20290000e+04 1.38530000e+04 1.08560000e+04 1.06620000e+04 9.64420000e+03 9.46900000e+03 8.20410000e+03 8.05270000e+03 7.18190000e+03 4.17770000e+03 2.63220000e+03 1.22770000e+03 6.61560000e+02 2.03790000e+02 8.50940000e+01 3.99980000e+01 3.90020000e+01 2.37290000e+01 9.33400000e+00 4.47370000e+00 2.43920000e+00 9.30660000e-01 4.40020000e-01 1.13770000e-01 4.43720000e-02 1.23550000e-02 5.21910000e-03 2.76670000e-03 1.69040000e-03 8.15790000e-04 4.84230000e-04 2.07240000e-04] M = [ 1.12450000e+06 4.41290000e+05 2.19580000e+05 7.92590000e+04 5.98790000e+04 5.86610000e+04 5.23740000e+04 5.13050000e+04 4.37020000e+04 4.28060000e+04 3.77170000e+04 2.09990000e+04 1.29390000e+04 5.96660000e+03 3.24750000e+03 1.05920000e+03 4.73380000e+02 2.39200000e+02 2.33850000e+02 1.50060000e+02 6.58180000e+01 3.45670000e+01 2.03670000e+01 8.79880000e+00 4.57550000e+00 1.39260000e+00 6.02230000e-01 1.89550000e-01 8.63750000e-02 4.83140000e-02 3.07480000e-02 1.57890000e-02 9.81080000e-03 4.50580000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.56100000e+05 1.40220000e+05 2.11350000e+05 1.82110000e+05 2.11920000e+05 1.89330000e+05 1.07150000e+05 6.68380000e+04 3.12300000e+04 1.70950000e+04 5.60160000e+03 2.50550000e+03 1.26600000e+03 1.23770000e+03 7.94160000e+02 3.48220000e+02 1.82810000e+02 1.07670000e+02 4.64780000e+01 2.41530000e+01 7.34160000e+00 3.17220000e+00 9.97880000e-01 4.54510000e-01 2.54190000e-01 1.61770000e-01 8.30980000e-02 5.16440000e-02 2.37370000e-02] M5 = [ 4.41620000e+05 1.41660000e+05 5.93030000e+04 1.59890000e+04 1.10590000e+04 1.07630000e+04 9.26390000e+03 9.01400000e+03 7.28210000e+03 7.08370000e+03 5.98140000e+03 2.71180000e+03 1.39520000e+03 4.73330000e+02 1.99510000e+02 3.95020000e+01 1.20850000e+01 4.38430000e+00 4.23890000e+00 2.18570000e+00 6.37090000e-01 2.43500000e-01 1.10890000e-01 3.21420000e-02 1.23940000e-02 2.27010000e-03 7.07540000e-04 1.51520000e-04 5.53510000e-05 2.70600000e-05 1.57910000e-05 7.04360000e-06 4.17790000e-06 1.71460000e-06] M4 = [ 3.02960000e+05 9.80160000e+04 4.12720000e+04 1.12240000e+04 7.78250000e+03 7.57550000e+03 6.52670000e+03 6.35190000e+03 5.13900000e+03 5.00000000e+03 4.22680000e+03 1.92700000e+03 9.96320000e+02 3.40880000e+02 1.44740000e+02 2.90970000e+01 9.01590000e+00 3.31080000e+00 3.20230000e+00 1.66560000e+00 4.94000000e-01 1.91610000e-01 8.83670000e-02 2.61490000e-02 1.02460000e-02 1.92370000e-03 6.11050000e-04 1.30540000e-04 4.65160000e-05 2.17390000e-05 1.21050000e-05 5.17580000e-06 2.78400000e-06 1.03690000e-06] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.38350000e+04 6.36180000e+04 6.24700000e+04 5.56940000e+04 3.06030000e+04 1.85010000e+04 8.12830000e+03 4.20490000e+03 1.21540000e+03 4.88940000e+02 2.23780000e+02 2.18030000e+02 1.30710000e+02 5.02370000e+01 2.37210000e+01 1.27970000e+01 4.81490000e+00 2.25640000e+00 5.76380000e-01 2.23400000e-01 6.16890000e-02 2.59710000e-02 1.37390000e-02 8.37930000e-03 4.03440000e-03 2.40040000e-03 1.02630000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.56100000e+05 1.40220000e+05 1.37510000e+05 1.18500000e+05 1.16160000e+05 1.02360000e+05 5.48820000e+04 3.27480000e+04 1.41110000e+04 7.17940000e+03 2.01190000e+03 7.90530000e+02 3.54310000e+02 3.44960000e+02 2.03820000e+02 7.61120000e+01 3.50770000e+01 1.85270000e+01 6.72430000e+00 3.05860000e+00 7.38120000e-01 2.75010000e-01 7.24870000e-02 2.99130000e-02 1.57450000e-02 9.63270000e-03 4.71950000e-03 2.85040000e-03 1.26830000e-03] M3 = [ 2.09860000e+05 1.08140000e+05 6.22980000e+04 2.60700000e+04 2.02600000e+04 1.98850000e+04 1.79310000e+04 1.75950000e+04 1.51760000e+04 1.48870000e+04 1.32300000e+04 7.57620000e+03 4.71250000e+03 2.15360000e+03 1.14180000e+03 3.40960000e+02 1.39020000e+02 6.39620000e+01 6.23220000e+01 3.73620000e+01 1.42740000e+01 6.67500000e+00 3.56220000e+00 1.31070000e+00 6.01390000e-01 1.46920000e-01 5.50940000e-02 1.45880000e-02 6.03910000e-03 3.18460000e-03 1.94930000e-03 9.54770000e-04 5.79000000e-04 2.57610000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.32960000e+04 3.12710000e+04 2.16640000e+04 1.55890000e+04 8.99020000e+03 5.71060000e+03 2.37440000e+03 1.22610000e+03 6.87930000e+02 6.74720000e+02 4.59640000e+02 2.21870000e+02 1.24020000e+02 7.63420000e+01 3.49390000e+01 1.88380000e+01 6.02710000e+00 2.67380000e+00 8.63710000e-01 3.98630000e-01 2.24710000e-01 1.43760000e-01 7.43440000e-02 4.63930000e-02 2.14420000e-02] JK = 6.20432676784 M1 = [ 7.05720000e+04 3.93500000e+04 2.46740000e+04 1.21230000e+04 9.92190000e+03 9.77620000e+03 9.00780000e+03 8.87430000e+03 7.90000000e+03 7.78200000e+03 7.09690000e+03 4.60670000e+03 3.20310000e+03 1.77100000e+03 1.09990000e+03 4.45870000e+02 2.28160000e+02 1.27550000e+02 1.25080000e+02 8.51190000e+01 4.10790000e+01 2.29830000e+01 1.41660000e+01 6.49920000e+00 3.51150000e+00 1.12770000e+00 5.01440000e-01 1.62330000e-01 7.50150000e-02 4.23140000e-02 2.70810000e-02 1.40060000e-02 8.74060000e-03 4.03820000e-03] all other = [ 1.34900000e+05 5.71600000e+04 3.00380000e+04 1.16360000e+04 8.93930000e+03 8.76800000e+03 7.87930000e+03 7.72740000e+03 6.64010000e+03 6.51120000e+03 5.77580000e+03 3.30930000e+03 2.08190000e+03 9.90220000e+02 5.50620000e+02 1.85530000e+02 8.45100000e+01 4.33010000e+01 4.23510000e+01 2.73950000e+01 1.21690000e+01 6.44620000e+00 3.82110000e+00 1.66430000e+00 8.69980000e-01 2.66770000e-01 1.15820000e-01 3.66190000e-02 1.67200000e-02 9.36340000e-03 5.96370000e-03 3.06560000e-03 1.90590000e-03 8.76460000e-04] total = [ 1.25940000e+06 4.98450000e+05 2.49610000e+05 9.08950000e+04 6.88190000e+04 2.23530000e+05 2.00470000e+05 2.70380000e+05 2.32460000e+05 2.61240000e+05 2.32820000e+05 1.31460000e+05 8.18590000e+04 3.81870000e+04 2.08930000e+04 6.84640000e+03 3.06340000e+03 1.54850000e+03 9.60740000e+03 6.43370000e+03 2.98360000e+03 1.61690000e+03 9.71650000e+02 4.29290000e+02 2.25930000e+02 6.96640000e+01 3.02660000e+01 9.56430000e+00 4.36800000e+00 2.44880000e+00 1.56210000e+00 8.05930000e-01 5.02780000e-01 2.32620000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.09350000e+03 5.46210000e+03 2.55740000e+03 1.39300000e+03 8.39790000e+02 3.72350000e+02 1.96330000e+02 6.06630000e+01 2.63760000e+01 8.34030000e+00 3.81040000e+00 2.13690000e+00 1.36360000e+00 7.03980000e-01 4.39420000e-01 2.03500000e-01] [Ag.binding] K = 25.4903 L1 = 3.7837 M5 = 0.3765 M4 = 0.383 M1 = 0.704 L3 = 3.3499 M3 = 0.5685 M2 = 0.6003 L2 = 3.5283 [Ir] JL1 = 1.13187369945 JL3 = 2.52531006343 JL2 = 1.36035525749 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.04250000e+00 2.05880000e+00 2.12110000e+00 2.13800000e+00 2.53640000e+00 2.55670000e+00 2.89790000e+00 2.92110000e+00 3.00000000e+00 3.14430000e+00 3.16950000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.12030000e+01 1.12920000e+01 1.28470000e+01 1.29500000e+01 1.33880000e+01 1.34960000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 7.62740000e+01 7.68850000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.86590809922 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.55760000e+04 5.11490000e+05 5.17700000e+05 3.44610000e+05 3.37250000e+05 2.39530000e+05 2.34320000e+05 2.17690000e+05 1.92630000e+05 1.88520000e+05 9.69960000e+04 4.96240000e+04 2.81130000e+04 1.10740000e+04 5.22930000e+03 3.53650000e+03 3.44000000e+03 2.19080000e+03 2.12990000e+03 1.89300000e+03 1.84020000e+03 1.26170000e+03 4.41680000e+02 9.56980000e+01 3.13810000e+01 1.30450000e+01 6.32980000e+00 2.43420000e+00 2.35800000e+00 2.01270000e+00 8.27930000e-01 1.68130000e-01 5.58730000e-02 1.27950000e-02 4.82290000e-03 2.37870000e-03 1.38350000e-03 6.24910000e-04 3.60020000e-04 1.47380000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.16960000e+04 2.44650000e+05 2.39550000e+05 1.71270000e+05 1.67620000e+05 1.55920000e+05 1.37170000e+05 1.35100000e+05 7.05640000e+04 3.65780000e+04 2.09440000e+04 8.38200000e+03 4.01280000e+03 2.73430000e+03 2.66100000e+03 1.70930000e+03 1.66270000e+03 1.48100000e+03 1.44040000e+03 9.95030000e+02 3.55790000e+02 7.97030000e+01 2.68360000e+01 1.14030000e+01 5.63860000e+00 2.22450000e+00 2.15680000e+00 1.84880000e+00 7.78990000e-01 1.64720000e-01 5.59640000e-02 1.29880000e-02 4.85080000e-03 2.34610000e-03 1.33220000e-03 5.84620000e-04 3.20720000e-04 1.25310000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.43140000e+04 1.79060000e+04 1.28520000e+04 9.62620000e+03 5.89550000e+03 3.94210000e+03 3.19060000e+03 3.14320000e+03 2.45670000e+03 2.41910000e+03 2.26830000e+03 2.23350000e+03 1.81580000e+03 1.01590000e+03 4.30270000e+02 2.27470000e+02 1.36570000e+02 8.91180000e+01 5.01590000e+01 4.91980000e+01 4.46710000e+01 2.58040000e+01 9.30600000e+00 4.46910000e+00 1.59730000e+00 7.83840000e-01 4.59650000e-01 3.01750000e-01 1.60370000e-01 1.00990000e-01 4.63710000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.19560000e+05 1.01420000e+05 1.00150000e+05 9.58620000e+04 8.83810000e+04 8.71460000e+04 5.79320000e+04 3.78650000e+04 2.61330000e+04 1.39300000e+04 8.28850000e+03 6.30300000e+03 6.18100000e+03 4.48850000e+03 4.39960000e+03 4.04490000e+03 3.96390000e+03 3.02330000e+03 1.41000000e+03 4.53550000e+02 1.95350000e+02 9.97420000e+01 5.69900000e+01 2.69580000e+01 2.62900000e+01 2.32000000e+01 1.14450000e+01 3.14380000e+00 1.26450000e+00 3.62800000e-01 1.56030000e-01 8.38130000e-02 5.17130000e-02 2.53320000e-02 1.51890000e-02 6.58190000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.97750000e+04 3.84180000e+04 3.67500000e+04 3.64650000e+04 2.63800000e+04 1.87830000e+04 1.36070000e+04 7.81200000e+03 4.88910000e+03 3.80720000e+03 3.73990000e+03 2.79250000e+03 2.74150000e+03 2.53740000e+03 2.49060000e+03 1.94230000e+03 9.60070000e+02 3.35190000e+02 1.53200000e+02 8.20110000e+01 4.87520000e+01 2.43290000e+01 2.37690000e+01 2.11660000e+01 1.09920000e+01 3.32090000e+00 1.42790000e+00 4.46770000e-01 2.02350000e-01 1.12310000e-01 7.08030000e-02 3.56530000e-02 2.17550000e-02 9.64130000e-03] total = [ 1.35050000e+06 6.02200000e+05 3.25910000e+05 3.11260000e+05 3.81440000e+05 7.97970000e+05 8.50890000e+05 7.81470000e+05 8.85130000e+05 6.54120000e+05 6.81180000e+05 6.38890000e+05 5.72440000e+05 5.86900000e+05 3.36520000e+05 1.94710000e+05 1.23380000e+05 5.92830000e+04 3.32890000e+04 2.47530000e+04 6.25090000e+04 4.41370000e+04 6.00420000e+04 5.52650000e+04 6.25530000e+04 4.78480000e+04 2.26470000e+04 7.69340000e+03 3.52780000e+03 1.91480000e+03 1.15840000e+03 5.95860000e+02 2.89940000e+03 2.61820000e+03 1.45580000e+03 4.94370000e+02 2.28250000e+02 7.78970000e+01 3.73450000e+01 2.16270000e+01 1.41000000e+01 7.44940000e+00 4.68570000e+00 2.15570000e+00] JM2 = 1.04136855623 JM3 = 1.13264744648 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.31660000e+03 2.09630000e+03 1.17530000e+03 4.03570000e+02 1.87200000e+02 6.41530000e+01 3.08320000e+01 1.78890000e+01 1.16820000e+01 6.18730000e+00 3.89900000e+00 1.79830000e+00] JM1 = 1.02526028929 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.55760000e+04 5.11490000e+05 5.69400000e+05 5.89260000e+05 6.96350000e+05 5.12220000e+05 5.41870000e+05 5.07890000e+05 4.54930000e+05 4.71550000e+05 2.69780000e+05 1.55700000e+05 9.84220000e+04 4.70930000e+04 2.63620000e+04 1.95720000e+04 1.91650000e+04 1.36380000e+04 1.33530000e+04 1.22240000e+04 1.19690000e+04 9.03820000e+03 4.18340000e+03 1.39440000e+03 6.34240000e+02 3.42770000e+02 2.06830000e+02 1.06100000e+02 1.03770000e+02 9.28990000e+01 4.98470000e+01 1.61040000e+01 7.27340000e+00 2.43260000e+00 1.15190000e+00 6.60490000e-01 4.26980000e-01 2.22560000e-01 1.38610000e-01 6.28670000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.82670000e+04 2.68570000e+04 4.31210000e+04 3.97680000e+04 4.73780000e+04 3.63740000e+04 1.73180000e+04 5.91050000e+03 2.71490000e+03 1.47470000e+03 8.92580000e+02 4.59280000e+02 4.49220000e+02 4.02280000e+02 2.16260000e+02 7.00110000e+01 3.16510000e+01 1.05970000e+01 5.02250000e+00 2.88260000e+00 1.86510000e+00 9.73820000e-01 6.07230000e-01 2.75960000e-01] JM4 = 1.06631828264 JM5 = 1.22547066761 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.68210000e+04 1.56700000e+04 1.52980000e+04 1.16420000e+04 5.45420000e+03 1.75830000e+03 7.66320000e+02 3.96970000e+02 2.30430000e+02 1.11860000e+02 1.09200000e+02 9.68410000e+01 4.92280000e+01 1.44210000e+01 6.09810000e+00 1.87520000e+00 8.41990000e-01 4.64990000e-01 2.92240000e-01 1.46660000e-01 8.91850000e-02 3.94640000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.82670000e+04 2.68570000e+04 2.63000000e+04 2.40980000e+04 2.35960000e+04 1.76910000e+04 7.66080000e+03 2.27500000e+03 9.33850000e+02 4.61640000e+02 2.57660000e+02 1.18640000e+02 1.15610000e+02 1.01620000e+02 4.91060000e+01 1.30960000e+01 5.18560000e+00 1.46430000e+00 6.24930000e-01 3.34270000e-01 2.05710000e-01 1.00660000e-01 6.03300000e-02 2.61180000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.48400000e+03 7.04080000e+03 4.20330000e+03 1.87710000e+03 1.01470000e+03 6.16140000e+02 4.04500000e+02 2.28770000e+02 2.24410000e+02 2.03830000e+02 1.17930000e+02 4.24940000e+01 2.03680000e+01 7.25740000e+00 3.55560000e+00 2.08330000e+00 1.36720000e+00 7.26500000e-01 4.57720000e-01 2.10370000e-01] all other = [ 1.35050000e+06 6.02200000e+05 3.25910000e+05 3.11260000e+05 3.05870000e+05 2.86480000e+05 2.81490000e+05 1.92210000e+05 1.88770000e+05 1.41900000e+05 1.39320000e+05 1.31000000e+05 1.17510000e+05 1.15360000e+05 6.67380000e+04 3.90100000e+04 2.49630000e+04 1.21900000e+04 6.92770000e+03 5.18150000e+03 5.07660000e+03 3.64190000e+03 3.56760000e+03 3.27280000e+03 3.20590000e+03 2.43590000e+03 1.14490000e+03 3.88510000e+02 1.78680000e+02 9.73120000e+01 5.90370000e+01 3.04770000e+01 2.98130000e+01 2.67150000e+01 1.44050000e+01 4.68790000e+00 2.12630000e+00 7.14120000e-01 3.38920000e-01 1.94600000e-01 1.25910000e-01 6.56950000e-02 4.09360000e-02 1.85750000e-02] [Ir.binding] K = 76.3502 L1 = 13.4017 M5 = 2.0445 M4 = 2.1232 M1 = 3.1474 L3 = 11.2139 M3 = 2.539 M2 = 2.9008 L2 = 12.8595 [Am] JL1 = 1.13243460471 JL3 = 2.31028037383 JL2 = 1.39766975456 energy = [ 1.00000000e+00 1.14580000e+00 1.15500000e+00 1.42760000e+00 1.43900000e+00 1.50000000e+00 1.59700000e+00 1.60980000e+00 2.00000000e+00 3.00000000e+00 3.88780000e+00 3.91900000e+00 4.00000000e+00 4.09910000e+00 4.13190000e+00 4.68030000e+00 4.71780000e+00 5.00000000e+00 5.73760000e+00 5.78360000e+00 6.00000000e+00 6.10690000e+00 6.15580000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 1.85070000e+01 1.86550000e+01 2.00000000e+01 2.30430000e+01 2.32270000e+01 2.38450000e+01 2.40360000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.25680000e+02 1.26690000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.01747602069 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.51800000e+05 2.41730000e+05 2.23980000e+05 2.19340000e+05 1.59710000e+05 1.56260000e+05 1.32670000e+05 8.83360000e+04 8.64030000e+04 7.79620000e+04 7.41190000e+04 7.24240000e+04 3.28560000e+04 1.62940000e+04 4.28920000e+03 2.08870000e+03 2.03160000e+03 1.59330000e+03 9.67020000e+02 9.39960000e+02 8.55960000e+02 8.31950000e+02 3.74110000e+02 1.29590000e+02 5.61260000e+01 2.81260000e+01 9.37430000e+00 3.99280000e+00 1.66940000e+00 1.61960000e+00 8.54580000e-01 2.93840000e-01 6.92870000e-02 2.64590000e-02 1.31140000e-02 7.63420000e-03 3.48670000e-03 1.97220000e-03 8.14070000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.58380000e+05 1.17590000e+05 1.15260000e+05 9.89410000e+04 6.70560000e+04 6.55260000e+04 5.89000000e+04 5.58960000e+04 5.46950000e+04 2.54650000e+04 1.28760000e+04 3.51710000e+03 1.74790000e+03 1.70170000e+03 1.34450000e+03 8.27760000e+02 8.05300000e+02 7.35380000e+02 7.15330000e+02 3.29390000e+02 1.17950000e+02 5.24920000e+01 2.69170000e+01 9.31170000e+00 4.08240000e+00 1.75670000e+00 1.70590000e+00 9.18250000e-01 3.25090000e-01 7.86610000e-02 3.01290000e-02 1.48210000e-02 8.52220000e-03 3.80530000e-03 2.11930000e-03 8.32470000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.05980000e+04 7.40800000e+03 5.30950000e+03 2.70190000e+03 1.85270000e+03 1.82550000e+03 1.60400000e+03 1.22660000e+03 1.20790000e+03 1.14810000e+03 1.13050000e+03 7.30280000e+02 4.04580000e+02 2.51630000e+02 1.68940000e+02 8.85400000e+01 5.29380000e+01 3.09460000e+01 3.03670000e+01 2.03210000e+01 1.01980000e+01 3.87210000e+00 1.97760000e+00 1.19190000e+00 7.97480000e-01 4.33220000e-01 2.75510000e-01 1.26740000e-01] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.53710000e+04 5.92290000e+04 4.75100000e+04 4.68270000e+04 4.37040000e+04 4.22370000e+04 4.15850000e+04 2.50460000e+04 1.57510000e+04 6.30560000e+03 3.79870000e+03 3.72500000e+03 3.13450000e+03 2.18960000e+03 2.14530000e+03 2.00520000e+03 1.96440000e+03 1.09650000e+03 4.99760000e+02 2.66210000e+02 1.57260000e+02 6.73180000e+01 3.44480000e+01 1.72210000e+01 1.68080000e+01 1.00480000e+01 4.19420000e+00 1.25310000e+00 5.49370000e-01 2.97640000e-01 1.84150000e-01 9.01550000e-02 5.37370000e-02 2.28060000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.68200000e+04 1.62560000e+04 1.58830000e+04 1.57470000e+04 1.12900000e+04 8.04970000e+03 3.83820000e+03 2.50250000e+03 2.46120000e+03 2.12420000e+03 1.55930000e+03 1.53200000e+03 1.44530000e+03 1.41980000e+03 8.54330000e+02 4.28090000e+02 2.45160000e+02 1.53680000e+02 7.22250000e+01 3.97460000e+01 2.14040000e+01 2.09450000e+01 1.32250000e+01 6.04630000e+00 2.03800000e+00 9.64870000e-01 5.51410000e-01 3.54890000e-01 1.83620000e-01 1.13720000e-01 5.16030000e-02] total = [ 2.96770000e+06 2.33690000e+06 2.44990000e+06 1.63270000e+06 1.62800000e+06 1.49780000e+06 1.31940000e+06 1.32240000e+06 8.40380000e+05 3.43910000e+05 1.89660000e+05 4.37970000e+05 4.19210000e+05 3.91600000e+05 5.42250000e+05 4.00000000e+05 4.57290000e+05 3.95720000e+05 2.78350000e+05 2.89590000e+05 2.64560000e+05 2.53040000e+05 2.58710000e+05 1.35630000e+05 7.75810000e+04 2.75960000e+04 1.60500000e+04 3.70800000e+04 3.08510000e+04 2.09420000e+04 2.92700000e+04 2.73720000e+04 3.09970000e+04 1.76650000e+04 8.39100000e+03 4.67610000e+03 2.88640000e+03 1.33950000e+03 7.36080000e+02 3.98260000e+02 1.60000000e+03 1.04580000e+03 5.04120000e+02 1.81630000e+02 9.02180000e+01 5.35560000e+01 3.55260000e+01 1.91500000e+01 1.21470000e+01 5.59370000e+00] JM2 = 1.04038081552 JM3 = 1.143225 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1210.2 798.02 388.92 141.56 70.739 42.182 28.08 15.21 9.6779 4.4714] JM1 = 1.0224075245 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.51800000e+05 2.41730000e+05 2.23980000e+05 3.77720000e+05 2.77300000e+05 3.36890000e+05 2.90840000e+05 2.02900000e+05 2.15580000e+05 1.96820000e+05 1.88130000e+05 1.95050000e+05 1.02070000e+05 5.82800000e+04 2.06520000e+04 1.19910000e+04 1.17450000e+04 9.80040000e+03 6.77030000e+03 6.63050000e+03 6.18990000e+03 6.06190000e+03 3.38460000e+03 1.58000000e+03 8.71620000e+02 5.34920000e+02 2.46770000e+02 1.35210000e+02 7.29960000e+01 7.14450000e+01 4.53660000e+01 2.10570000e+01 7.31110000e+00 3.54840000e+00 2.06890000e+00 1.35270000e+00 7.14290000e-01 4.47060000e-01 2.02800000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.13580000e+04 1.77240000e+04 1.18650000e+04 2.03790000e+04 1.90700000e+04 2.28660000e+04 1.31180000e+04 6.26440000e+03 3.50140000e+03 2.16480000e+03 1.00620000e+03 5.53230000e+02 2.99460000e+02 2.93110000e+02 1.86370000e+02 8.66450000e+01 3.01500000e+01 1.46610000e+01 8.56370000e+00 5.60820000e+00 2.96910000e+00 1.86180000e+00 8.46700000e-01] JM4 = 1.38470377937 JM5 = 2.30923758304 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.76680000e+03 8.25650000e+03 8.14100000e+03 4.69040000e+03 2.22100000e+03 1.22490000e+03 7.45640000e+02 3.36210000e+02 1.79820000e+02 9.43950000e+01 9.22960000e+01 5.73330000e+01 2.56020000e+01 8.41610000e+00 3.93400000e+00 2.23170000e+00 1.42970000e+00 7.36060000e-01 4.54720000e-01 2.05650000e-01] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.13580000e+04 1.77240000e+04 1.18650000e+04 1.16120000e+04 1.08140000e+04 1.05810000e+04 5.60160000e+03 2.40690000e+03 1.23040000e+03 7.05070000e+02 2.89380000e+02 1.43980000e+02 7.02270000e+01 6.84890000e+01 4.03080000e+01 1.64560000e+01 4.80500000e+00 2.08340000e+00 1.12190000e+00 6.91560000e-01 3.37360000e-01 2.00740000e-01 8.53940000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.14440000e+03 2.82570000e+03 1.63640000e+03 1.04610000e+03 7.14050000e+02 3.80560000e+02 2.29430000e+02 1.34840000e+02 1.32330000e+02 8.87250000e+01 4.45880000e+01 1.69290000e+01 8.64370000e+00 5.21010000e+00 3.48700000e+00 1.89570000e+00 1.20640000e+00 5.55660000e-01] all other = [ 2.96770000e+06 2.33690000e+06 2.44990000e+06 1.63270000e+06 1.62800000e+06 1.49780000e+06 1.31940000e+06 1.32240000e+06 8.40380000e+05 3.43910000e+05 1.89660000e+05 1.86170000e+05 1.77490000e+05 1.67630000e+05 1.64530000e+05 1.22700000e+05 1.20410000e+05 1.04880000e+05 7.54480000e+04 7.40120000e+04 6.77330000e+04 6.49030000e+04 6.36630000e+04 3.35680000e+04 1.93000000e+04 6.94400000e+03 4.05970000e+03 3.97740000e+03 3.32560000e+03 2.30760000e+03 2.26050000e+03 2.11190000e+03 2.06870000e+03 1.16250000e+03 5.46630000e+02 3.03080000e+02 1.86700000e+02 8.66100000e+01 4.76390000e+01 2.58090000e+01 2.52640000e+01 1.60830000e+01 7.49210000e+00 2.61120000e+00 1.26980000e+00 7.41270000e-01 4.85010000e-01 2.56290000e-01 1.60450000e-01 7.27960000e-02] [Am.binding] K = 125.8091 L1 = 23.8693 M5 = 3.8917 M4 = 4.1032 M1 = 6.113 L3 = 18.5251 M3 = 4.685 M2 = 5.7434 L2 = 23.0659 [Al] energy = [ 1.00000000e+00 1.50000000e+00 1.54830000e+00 1.56070000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 5.34900000e+01 1.48980000e+01 1.34340000e+01 1.30880000e+01 5.77000000e+00 1.43480000e+00 5.18000000e-01 2.30930000e-01 1.18070000e-01 4.01800000e-02 1.71490000e-02 3.54570000e-03 1.14000000e-03 2.27660000e-04 7.23660000e-05 2.97640000e-05 1.44340000e-05 4.64010000e-06 1.94260000e-06 4.13660000e-07 1.43260000e-07 3.45810000e-08 1.34460000e-08 6.74680000e-09 3.96540000e-09 1.81970000e-09 1.04870000e-09 4.38050000e-10] M = [ 1.94140000e+03 7.59020000e+02 7.03620000e+02 6.90310000e+02 3.77610000e+02 1.34960000e+02 6.31890000e+01 3.44830000e+01 2.08380000e+01 9.25000000e+00 4.85770000e+00 1.46350000e+00 6.12010000e-01 1.74830000e-01 7.08340000e-02 3.49090000e-02 1.95110000e-02 7.75400000e-03 3.78300000e-03 1.03040000e-03 4.14180000e-04 1.19080000e-04 5.14880000e-05 2.79080000e-05 1.74410000e-05 8.83300000e-06 5.49930000e-06 2.60160000e-06] L = [ 5.10570000e+04 1.71700000e+04 1.57480000e+04 1.54090000e+04 7.79420000e+03 2.50760000e+03 1.10590000e+03 5.81340000e+02 3.41890000e+02 1.46420000e+02 7.51680000e+01 2.19370000e+01 9.02370000e+00 2.53440000e+00 1.01800000e+00 4.99030000e-01 2.77990000e-01 1.10010000e-01 5.35320000e-02 1.45310000e-02 5.83230000e-03 1.67440000e-03 7.23500000e-04 3.92000000e-04 2.44810000e-04 1.23830000e-04 7.69600000e-05 3.61510000e-05] L2 = [ 8.82780000e+03 2.39850000e+03 2.16020000e+03 2.10400000e+03 9.16090000e+02 2.25090000e+02 8.06590000e+01 3.57990000e+01 1.82440000e+01 6.18320000e+00 2.63180000e+00 5.41830000e-01 1.73780000e-01 3.46190000e-02 1.10180000e-02 4.53070000e-03 2.19680000e-03 7.06070000e-04 2.95890000e-04 6.30770000e-05 2.18790000e-05 5.30010000e-06 2.06790000e-06 1.03930000e-06 6.13200000e-07 2.81610000e-07 1.63410000e-07 6.70420000e-08] L3 = [ 1.73740000e+04 4.70830000e+03 4.23960000e+03 4.12910000e+03 1.79460000e+03 4.39450000e+02 1.57050000e+02 6.95390000e+01 3.53620000e+01 1.19350000e+01 5.06050000e+00 1.03350000e+00 3.29090000e-01 6.47000000e-02 2.02820000e-02 8.24820000e-03 3.95840000e-03 1.25060000e-03 5.15800000e-04 1.06790000e-04 3.63990000e-05 8.70160000e-06 3.42640000e-06 1.76770000e-06 1.06670000e-06 5.23230000e-07 3.16980000e-07 1.46160000e-07] M3 = [ 1.05310000e+02 2.92500000e+01 2.63700000e+01 2.56900000e+01 1.13030000e+01 2.79510000e+00 1.00610000e+00 4.47510000e-01 2.28270000e-01 7.73690000e-02 3.28970000e-02 6.74360000e-03 2.15220000e-03 4.24000000e-04 1.33210000e-04 5.42040000e-05 2.60250000e-05 8.22410000e-06 3.39470000e-06 7.03280000e-07 2.39860000e-07 5.74620000e-08 2.27040000e-08 1.17100000e-08 7.11230000e-09 3.51090000e-09 2.17000000e-09 1.04670000e-09] L1 = [ 2.48550000e+04 1.00630000e+04 9.34790000e+03 9.17570000e+03 5.08350000e+03 1.84310000e+03 8.68180000e+02 4.76000000e+02 2.88280000e+02 1.28310000e+02 6.74760000e+01 2.03620000e+01 8.52080000e+00 2.43510000e+00 9.86700000e-01 4.86250000e-01 2.71840000e-01 1.08050000e-01 5.27210000e-02 1.43610000e-02 5.77400000e-03 1.66040000e-03 7.18010000e-04 3.89200000e-04 2.43130000e-04 1.23030000e-04 7.64800000e-05 3.59380000e-05] JK = 10.7555771686 M1 = [ 1.78260000e+03 7.14870000e+02 6.63820000e+02 6.51530000e+02 3.60540000e+02 1.30730000e+02 6.16650000e+01 3.38050000e+01 2.04910000e+01 9.13250000e+00 4.80770000e+00 1.45320000e+00 6.08720000e-01 1.74170000e-01 7.06280000e-02 3.48250000e-02 1.94700000e-02 7.74110000e-03 3.77770000e-03 1.02920000e-03 4.13800000e-04 1.18990000e-04 5.14520000e-05 2.78890000e-05 1.74300000e-05 8.82770000e-06 5.49610000e-06 2.60010000e-06] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 5.29990000e+04 1.79290000e+04 1.64510000e+04 1.76940000e+05 1.01310000e+05 3.52380000e+04 1.60900000e+04 8.61230000e+03 5.11960000e+03 2.21840000e+03 1.14580000e+03 3.36680000e+02 1.38880000e+02 3.90800000e+01 1.57020000e+01 7.69680000e+00 4.28570000e+00 1.69500000e+00 8.24470000e-01 2.23620000e-01 8.97030000e-02 2.57350000e-02 1.11150000e-02 6.02110000e-03 3.76440000e-03 1.90450000e-03 1.18390000e-03 5.56240000e-04] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.60840000e+05 9.31390000e+04 3.25950000e+04 1.49210000e+04 7.99650000e+03 4.75690000e+03 2.06270000e+03 1.06570000e+03 3.13280000e+02 1.29240000e+02 3.63710000e+01 1.46130000e+01 7.16280000e+00 3.98820000e+00 1.57730000e+00 7.67150000e-01 2.08060000e-01 8.34570000e-02 2.39410000e-02 1.03400000e-02 5.60110000e-03 3.50220000e-03 1.77180000e-03 1.10150000e-03 5.17490000e-04] [Al.binding] K = 1.5499 L1 = 0.1191 M1 = 0.0102 L3 = 0.0807 M3 = 0.0049 M2 = 0.0049 L2 = 0.0812 [As] JL1 = 1.10871737923 JL3 = 4.14088912056 JL2 = 1.37454335009 energy = [ 1.00000000e+00 1.32690000e+00 1.33760000e+00 1.36440000e+00 1.37530000e+00 1.50000000e+00 1.51780000e+00 1.52990000e+00 2.00000000e+00 3.00000000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.18170000e+01 1.19120000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 4.36060000e+04 2.43570000e+04 2.39410000e+04 2.29300000e+04 2.25340000e+04 1.85920000e+04 1.81060000e+04 1.77840000e+04 9.49490000e+03 3.39230000e+03 1.55300000e+03 8.24990000e+02 4.84020000e+02 2.02720000e+02 1.00850000e+02 5.90760000e+01 5.75720000e+01 2.70700000e+01 1.03180000e+01 2.55450000e+00 9.29030000e-01 4.20380000e-01 2.19160000e-01 7.83980000e-02 3.53610000e-02 8.47100000e-03 3.15240000e-03 8.28350000e-04 3.38880000e-04 1.75990000e-04 1.05820000e-04 5.01280000e-05 2.94060000e-05 1.23820000e-05] M = [ 2.55570000e+05 1.29890000e+05 1.27390000e+05 1.21370000e+05 1.19040000e+05 9.62210000e+04 9.34700000e+04 9.16490000e+04 4.68990000e+04 1.65140000e+04 7.73170000e+03 4.25310000e+03 2.59570000e+03 1.17950000e+03 6.34840000e+02 3.97680000e+02 3.88860000e+02 2.02750000e+02 8.92010000e+01 2.76100000e+01 1.18810000e+01 6.13860000e+00 3.56560000e+00 1.50410000e+00 7.66480000e-01 2.25000000e-01 9.48770000e-02 2.89070000e-02 1.29150000e-02 7.13640000e-03 4.50830000e-03 2.30130000e-03 1.42990000e-03 6.62660000e-04] L = [ 0.00000000e+00 0.00000000e+00 4.24360000e+05 4.27400000e+05 6.36910000e+05 5.49980000e+05 5.33520000e+05 6.03930000e+05 3.15300000e+05 1.12690000e+05 5.26300000e+04 2.88160000e+04 1.75020000e+04 7.89050000e+03 4.22150000e+03 2.63410000e+03 2.57520000e+03 1.33630000e+03 5.84760000e+02 1.79790000e+02 7.70530000e+01 3.97040000e+01 2.30170000e+01 9.68230000e+00 4.92920000e+00 1.44320000e+00 6.07690000e-01 1.84860000e-01 8.25270000e-02 4.55900000e-02 2.87980000e-02 1.46990000e-02 9.13340000e-03 4.23290000e-03] M5 = [ 5.40180000e+04 2.15680000e+04 2.10020000e+04 1.96540000e+04 1.91360000e+04 1.42800000e+04 1.37190000e+04 1.33510000e+04 5.25080000e+03 1.19460000e+03 3.99320000e+02 1.66480000e+02 8.01380000e+01 2.45480000e+01 9.58380000e+00 4.69010000e+00 4.53180000e+00 1.66910000e+00 4.72320000e-01 7.71420000e-02 2.10920000e-02 7.69510000e-03 3.38050000e-03 9.29940000e-04 3.46180000e-04 5.98240000e-05 1.81120000e-05 3.73890000e-06 1.35170000e-06 6.46980000e-07 3.73800000e-07 1.68660000e-07 9.92660000e-08 4.10850000e-08] M4 = [ 3.69520000e+04 1.47970000e+04 1.44100000e+04 1.34880000e+04 1.31340000e+04 9.81010000e+03 9.42640000e+03 9.17440000e+03 3.61950000e+03 8.27790000e+02 2.77850000e+02 1.16250000e+02 5.61380000e+01 1.72980000e+01 6.78950000e+00 3.33690000e+00 3.22490000e+00 1.19530000e+00 3.41310000e-01 5.69790000e-02 1.57960000e-02 5.83010000e-03 2.58720000e-03 7.24350000e-04 2.72820000e-04 4.81770000e-05 1.47020000e-05 2.98930000e-06 1.03610000e-06 4.79980000e-07 2.62760000e-07 1.10290000e-07 5.85140000e-08 2.19000000e-08] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.04730000e+05 1.87690000e+05 1.82240000e+05 1.78570000e+05 8.87790000e+04 2.94130000e+04 1.27620000e+04 6.53270000e+03 3.72870000e+03 1.50350000e+03 7.29480000e+02 4.20520000e+02 4.09520000e+02 1.88940000e+02 7.06050000e+01 1.70960000e+01 6.14360000e+00 2.75960000e+00 1.43160000e+00 5.07910000e-01 2.28080000e-01 5.42970000e-02 2.01360000e-02 5.27120000e-03 2.15090000e-03 1.11870000e-03 6.73030000e-04 3.18560000e-04 1.86760000e-04 7.89170000e-05] L3 = [ 0.00000000e+00 0.00000000e+00 4.24360000e+05 4.27400000e+05 4.32180000e+05 3.62290000e+05 3.51280000e+05 3.43980000e+05 1.69930000e+05 5.52600000e+04 2.37380000e+04 1.20540000e+04 6.83370000e+03 2.72480000e+03 1.30990000e+03 7.49580000e+02 7.29710000e+02 3.32990000e+02 1.22570000e+02 2.89540000e+01 1.01940000e+01 4.49800000e+00 2.29660000e+00 7.92770000e-01 3.47870000e-01 7.92330000e-02 2.85170000e-02 7.23570000e-03 2.93280000e-03 1.52720000e-03 9.29540000e-04 4.54840000e-04 2.76880000e-04 1.24170000e-04] M3 = [ 8.51950000e+04 4.70700000e+04 4.62520000e+04 4.42660000e+04 4.34900000e+04 3.57690000e+04 3.48200000e+04 3.41900000e+04 1.80840000e+04 6.37170000e+03 2.88780000e+03 1.52180000e+03 8.86820000e+02 3.67250000e+02 1.80980000e+02 1.05230000e+02 1.02510000e+02 4.76630000e+01 1.78900000e+01 4.31970000e+00 1.53910000e+00 6.84280000e-01 3.51230000e-01 1.21890000e-01 5.37210000e-02 1.23100000e-02 4.44400000e-03 1.13100000e-03 4.58970000e-04 2.39460000e-04 1.45920000e-04 7.14790000e-05 4.34310000e-05 1.95920000e-05] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.13760000e+04 5.65940000e+04 2.80210000e+04 1.61300000e+04 1.02290000e+04 6.93950000e+03 3.66210000e+03 2.18210000e+03 1.46400000e+03 1.43600000e+03 8.14320000e+02 3.91590000e+02 1.33740000e+02 6.07150000e+01 3.24470000e+01 1.92880000e+01 8.38160000e+00 4.35330000e+00 1.30970000e+00 5.59030000e-01 1.72350000e-01 7.74430000e-02 4.29440000e-02 2.71950000e-02 1.39250000e-02 8.66970000e-03 4.02980000e-03] JK = 7.1609296852 M1 = [ 3.57980000e+04 2.20940000e+04 2.17860000e+04 2.10370000e+04 2.07430000e+04 1.77710000e+04 1.73980000e+04 1.71500000e+04 1.04500000e+04 4.72750000e+03 2.61370000e+03 1.62360000e+03 1.08860000e+03 5.67720000e+02 3.36630000e+02 2.25350000e+02 2.21030000e+02 1.25150000e+02 6.01800000e+01 2.06020000e+01 9.37560000e+00 5.02040000e+00 2.98930000e+00 1.30210000e+00 6.76780000e-01 2.04110000e-01 8.72480000e-02 2.69410000e-02 1.21140000e-02 6.71980000e-03 4.25590000e-03 2.17940000e-03 1.35690000e-03 6.30630000e-04] all other = [ 7.65560000e+03 4.40320000e+03 4.33310000e+03 4.16290000e+03 4.09630000e+03 3.43380000e+03 3.35200000e+03 3.29750000e+03 1.87450000e+03 7.63530000e+02 3.92840000e+02 2.31440000e+02 1.49010000e+02 7.33310000e+01 4.18880000e+01 2.73040000e+01 2.67470000e+01 1.46630000e+01 6.81740000e+00 2.24990000e+00 1.00400000e+00 5.31080000e-01 3.13570000e-01 1.35140000e-01 6.98480000e-02 2.08850000e-02 8.88940000e-03 2.73350000e-03 1.22670000e-03 6.79690000e-04 4.30170000e-04 2.20160000e-04 1.37050000e-04 6.38030000e-05] total = [ 2.63230000e+05 1.34290000e+05 5.56080000e+05 5.52940000e+05 7.60040000e+05 6.49640000e+05 6.30350000e+05 6.98880000e+05 3.64080000e+05 1.29970000e+05 6.07540000e+04 3.33000000e+04 2.02470000e+04 9.14330000e+03 4.89820000e+03 3.05910000e+03 2.19060000e+04 1.21220000e+04 5.57800000e+03 1.80970000e+03 7.94470000e+02 4.14990000e+02 2.42580000e+02 1.03000000e+02 5.26850000e+01 1.55010000e+01 6.53800000e+00 1.99130000e+00 8.89710000e-01 4.91900000e-01 3.11000000e-01 1.59060000e-01 9.90190000e-02 4.60560000e-02] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.89150000e+04 1.05690000e+04 4.89720000e+03 1.60000000e+03 7.04530000e+02 3.68610000e+02 2.15690000e+02 9.16750000e+01 4.69190000e+01 1.38120000e+01 5.82650000e+00 1.77480000e+00 7.93040000e-01 4.38490000e-01 2.77270000e-01 1.41840000e-01 8.83190000e-02 4.10970000e-02] [As.binding] K = 11.8291 L1 = 1.5193 M5 = 0.0505 M4 = 0.0513 M1 = 0.2021 L3 = 1.3282 M3 = 0.1438 M2 = 0.149 L2 = 1.3658 [Ar] energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.17440000e+00 3.19980000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 3.44280000e+03 1.08990000e+03 4.57910000e+02 1.27270000e+02 1.05970000e+02 1.03260000e+02 4.94420000e+01 2.32630000e+01 1.23920000e+01 4.48590000e+00 2.00610000e+00 4.49700000e-01 1.52140000e-01 3.22190000e-02 1.05970000e-02 4.46490000e-03 2.20540000e-03 7.29060000e-04 3.11450000e-04 6.84680000e-05 2.41900000e-05 5.97650000e-06 2.35620000e-06 1.19550000e-06 7.06670000e-07 3.27130000e-07 1.89180000e-07 7.81840000e-08] M = [ 1.71700000e+04 6.25170000e+03 2.97050000e+03 1.01240000e+03 8.69650000e+02 8.51160000e+02 4.64230000e+02 2.51280000e+02 1.51200000e+02 6.70390000e+01 3.53580000e+01 1.08240000e+01 4.60100000e+00 1.34810000e+00 5.56270000e-01 2.78040000e-01 1.57180000e-01 6.35690000e-02 3.14140000e-02 8.73920000e-03 3.55960000e-03 1.03940000e-03 4.53260000e-04 2.46880000e-04 1.54660000e-04 7.84320000e-05 4.87550000e-05 2.28560000e-05] L = [ 1.93840000e+05 6.68480000e+04 3.08190000e+04 1.01440000e+04 8.67430000e+03 8.48440000e+03 4.55080000e+03 2.42460000e+03 1.44220000e+03 6.29810000e+02 3.28800000e+02 9.92350000e+01 4.18370000e+01 1.21480000e+01 4.98880000e+00 2.48600000e+00 1.40240000e+00 5.65650000e-01 2.79040000e-01 7.74790000e-02 3.15260000e-02 9.19700000e-03 4.00880000e-03 2.18310000e-03 1.36740000e-03 6.93190000e-04 4.30730000e-04 2.01600000e-04] L2 = [ 4.56350000e+04 1.37070000e+04 5.60900000e+03 1.51370000e+03 1.25540000e+03 1.22260000e+03 5.77270000e+02 2.68040000e+02 1.41530000e+02 5.06790000e+01 2.25090000e+01 4.99610000e+00 1.68120000e+00 3.53920000e-01 1.16020000e-01 4.87800000e-02 2.40600000e-02 7.93440000e-03 3.38410000e-03 7.45620000e-04 2.63350000e-04 6.50960000e-05 2.57280000e-05 1.30690000e-05 7.72460000e-06 3.59060000e-06 2.07890000e-06 8.63160000e-07] L3 = [ 8.93110000e+04 2.67120000e+04 1.08950000e+04 2.92580000e+03 2.42490000e+03 2.36130000e+03 1.11140000e+03 5.14280000e+02 2.70720000e+02 9.64170000e+01 4.26200000e+01 9.36240000e+00 3.12180000e+00 6.46910000e-01 2.09180000e-01 8.68680000e-02 4.23690000e-02 1.37040000e-02 5.75070000e-03 1.22150000e-03 4.22540000e-04 1.02710000e-04 4.07180000e-05 2.09880000e-05 1.27410000e-05 6.22350000e-06 3.78590000e-06 1.72110000e-06] M3 = [ 6.73080000e+03 2.12230000e+03 8.88740000e+02 2.45730000e+02 2.04460000e+02 1.99200000e+02 9.50830000e+01 4.45740000e+01 2.36730000e+01 8.50360000e+00 3.78430000e+00 8.39500000e-01 2.81430000e-01 5.86680000e-02 1.90290000e-02 7.91690000e-03 3.86700000e-03 1.25270000e-03 5.26290000e-04 1.12030000e-04 3.87820000e-05 9.43170000e-06 3.74660000e-06 1.93520000e-06 1.17470000e-06 5.75370000e-07 3.51370000e-07 1.61660000e-07] L1 = [ 5.88910000e+04 2.64290000e+04 1.43150000e+04 5.70500000e+03 4.99390000e+03 4.90050000e+03 2.86210000e+03 1.64230000e+03 1.03000000e+03 4.82710000e+02 2.63670000e+02 8.48760000e+01 3.70340000e+01 1.11470000e+01 4.66360000e+00 2.35040000e+00 1.33600000e+00 5.44010000e-01 2.69910000e-01 7.55120000e-02 3.08400000e-02 9.02920000e-03 3.94240000e-03 2.14900000e-03 1.34690000e-03 6.83380000e-04 4.24870000e-04 1.99020000e-04] JK = 8.86660589486 M1 = [ 6.99600000e+03 3.03950000e+03 1.62380000e+03 6.39410000e+02 5.59220000e+02 5.48700000e+02 3.19700000e+02 1.83440000e+02 1.15130000e+02 5.40500000e+01 2.95680000e+01 9.53450000e+00 4.16750000e+00 1.25720000e+00 5.26650000e-01 2.65660000e-01 1.51110000e-01 6.15870000e-02 3.05770000e-02 8.55870000e-03 3.49660000e-03 1.02400000e-03 4.47150000e-04 2.43750000e-04 1.52780000e-04 7.75300000e-05 4.82140000e-05 2.26160000e-05] all other = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] total = [ 2.11010000e+05 7.31000000e+04 3.37900000e+04 1.11570000e+04 9.54390000e+03 8.46220000e+04 5.01110000e+04 2.79310000e+04 1.71190000e+04 7.76020000e+03 4.13430000e+03 1.27810000e+03 5.44390000e+02 1.59470000e+02 6.57260000e+01 3.28120000e+01 1.85280000e+01 7.47940000e+00 3.69070000e+00 1.02430000e+00 4.16600000e-01 1.21470000e-01 5.29320000e-02 2.88240000e-02 1.80550000e-02 9.15740000e-03 5.69590000e-03 2.66860000e-03] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.52870000e+04 4.50960000e+04 2.52550000e+04 1.55260000e+04 7.06330000e+03 3.77010000e+03 1.16810000e+03 4.97950000e+02 1.45970000e+02 6.01810000e+01 3.00480000e+01 1.69680000e+01 6.85020000e+00 3.38030000e+00 9.38050000e-01 3.81520000e-01 1.11230000e-01 4.84700000e-02 2.63940000e-02 1.65330000e-02 8.38580000e-03 5.21650000e-03 2.44410000e-03] [Ar.binding] K = 3.1776 L1 = 0.3134 M1 = 0.0289 L3 = 0.2471 M3 = 0.0144 M2 = 0.0146 L2 = 0.2494 [Au] JL1 = 1.13195464426 JL3 = 2.49574395642 JL2 = 1.36300441245 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 2.20960000e+00 2.22730000e+00 2.29840000e+00 2.31680000e+00 2.73120000e+00 2.75310000e+00 3.00000000e+00 3.14190000e+00 3.16700000e+00 3.40010000e+00 3.42740000e+00 4.00000000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.19090000e+01 1.20050000e+01 1.37630000e+01 1.38730000e+01 1.43290000e+01 1.44440000e+01 1.50000000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 8.09230000e+01 8.15710000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.77655354782 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.75510000e+04 4.75360000e+05 4.74550000e+05 3.15740000e+05 3.08940000e+05 2.43920000e+05 2.14570000e+05 2.09860000e+05 1.73410000e+05 1.69700000e+05 1.09350000e+05 5.63790000e+04 3.21100000e+04 1.27340000e+04 6.04810000e+03 3.32200000e+03 3.23130000e+03 2.00230000e+03 1.94660000e+03 1.73600000e+03 1.68760000e+03 1.47540000e+03 5.20120000e+02 1.13790000e+02 3.75650000e+01 1.56930000e+01 7.64390000e+00 2.44420000e+00 2.33550000e+00 2.26270000e+00 1.00950000e+00 2.06310000e-01 6.88150000e-02 1.58180000e-02 5.97230000e-03 2.94760000e-03 1.71480000e-03 7.75130000e-04 4.47840000e-04 1.81210000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.39950000e+04 2.25170000e+05 2.20460000e+05 1.74970000e+05 1.54290000e+05 1.50960000e+05 1.24190000e+05 1.22160000e+05 7.98410000e+04 4.16670000e+04 2.39600000e+04 9.67390000e+03 4.65950000e+03 2.58930000e+03 2.51990000e+03 1.57650000e+03 1.53360000e+03 1.37070000e+03 1.33310000e+03 1.16860000e+03 4.21140000e+02 9.53660000e+01 3.23470000e+01 1.38210000e+01 6.86310000e+00 2.26460000e+00 2.16660000e+00 2.10090000e+00 9.58540000e-01 2.04180000e-01 6.96820000e-02 1.62550000e-02 6.09040000e-03 2.95180000e-03 1.67880000e-03 7.37250000e-04 4.04930000e-04 1.57980000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.20060000e+04 1.83970000e+04 1.31130000e+04 9.97830000e+03 6.16300000e+03 4.14360000e+03 2.99690000e+03 2.95250000e+03 2.27440000e+03 2.23960000e+03 2.10400000e+03 2.07170000e+03 1.92510000e+03 1.08280000e+03 4.62100000e+02 2.45520000e+02 1.47990000e+02 9.68880000e+01 4.88140000e+01 4.74780000e+01 4.65700000e+01 2.83090000e+01 1.02820000e+01 4.96210000e+00 1.78510000e+00 8.79720000e-01 5.17330000e-01 3.40270000e-01 1.81220000e-01 1.14230000e-01 5.24470000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.10090000e+05 9.98740000e+04 9.32630000e+04 9.20740000e+04 8.14550000e+04 8.02990000e+04 6.07470000e+04 4.03870000e+04 2.80310000e+04 1.50740000e+04 9.02470000e+03 5.93050000e+03 5.81570000e+03 4.14020000e+03 4.05800000e+03 3.73960000e+03 3.66460000e+03 3.32740000e+03 1.56370000e+03 5.07960000e+02 2.20250000e+02 1.13030000e+02 6.48410000e+01 2.65540000e+01 2.56160000e+01 2.49840000e+01 1.31560000e+01 3.63940000e+00 1.47010000e+00 4.23810000e-01 1.82690000e-01 9.82380000e-02 6.06360000e-02 2.96960000e-02 1.77900000e-02 7.69460000e-03] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.60820000e+04 3.35900000e+04 3.33370000e+04 2.71080000e+04 1.94490000e+04 1.43130000e+04 8.34620000e+03 5.28320000e+03 3.61720000e+03 3.55340000e+03 2.60980000e+03 2.56240000e+03 2.37770000e+03 2.33400000e+03 2.13680000e+03 1.06870000e+03 3.78590000e+02 1.74720000e+02 9.42100000e+01 5.63240000e+01 2.46620000e+01 2.38560000e+01 2.33120000e+01 1.28880000e+01 3.93430000e+00 1.70290000e+00 5.37090000e-01 2.44420000e-01 1.36090000e-01 8.59880000e-02 4.34250000e-02 2.65440000e-02 1.17830000e-02] total = [ 1.51760000e+06 6.79270000e+05 3.68120000e+05 2.95730000e+05 3.68100000e+05 7.46350000e+05 7.94770000e+05 7.24700000e+05 8.19980000e+05 6.67020000e+05 5.95380000e+05 6.19800000e+05 5.23530000e+05 5.36340000e+05 3.71070000e+05 2.15240000e+05 1.36730000e+05 6.58440000e+04 3.70390000e+04 2.34960000e+04 5.86400000e+04 4.05670000e+04 5.52930000e+04 5.10630000e+04 5.78010000e+04 5.24920000e+04 2.50250000e+04 8.54100000e+03 3.92850000e+03 2.13760000e+03 1.29590000e+03 5.85560000e+02 5.67250000e+02 2.70950000e+03 1.58800000e+03 5.44120000e+02 2.52170000e+02 8.65520000e+01 4.16410000e+01 2.41730000e+01 1.57870000e+01 8.35690000e+00 5.26070000e+00 2.41980000e+00] JM2 = 1.04101582183 JM3 = 1.13147509314 K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.15470000e+03 1.27250000e+03 4.41600000e+02 2.05690000e+02 7.09250000e+01 3.42150000e+01 1.99050000e+01 1.30220000e+01 6.91200000e+00 4.35950000e+00 2.01060000e+00] JM1 = 1.02446851183 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.75510000e+04 4.75360000e+05 5.28550000e+05 5.40910000e+05 6.39490000e+05 5.18770000e+05 4.62120000e+05 4.88980000e+05 4.12640000e+05 4.27500000e+05 2.95450000e+05 1.71000000e+05 1.08390000e+05 5.19910000e+04 2.91590000e+04 1.84560000e+04 1.80730000e+04 1.26030000e+04 1.23400000e+04 1.13280000e+04 1.10910000e+04 1.00330000e+04 4.65640000e+03 1.55780000e+03 7.10400000e+02 3.84740000e+02 2.32560000e+02 1.04740000e+02 1.01450000e+02 9.92290000e+01 5.63200000e+01 1.82660000e+01 8.27360000e+00 2.77810000e+00 1.31890000e+00 7.57560000e-01 4.90290000e-01 2.55860000e-01 1.59410000e-01 7.22630000e-02] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.56290000e+04 2.44930000e+04 3.95530000e+04 3.66090000e+04 4.36480000e+04 3.96830000e+04 1.90620000e+04 6.53840000e+03 3.01310000e+03 1.64100000e+03 9.95310000e+02 4.49980000e+02 4.35910000e+02 4.26390000e+02 2.42430000e+02 7.88110000e+01 3.57340000e+01 1.20130000e+01 5.70900000e+00 3.28250000e+00 2.12650000e+00 1.11170000e+00 6.93530000e-01 3.15010000e-01] JM4 = 1.06487572855 JM5 = 1.24471646434 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.55670000e+04 1.45740000e+04 1.42370000e+04 1.27770000e+04 6.12270000e+03 1.99230000e+03 8.76280000e+02 4.56920000e+02 2.66520000e+02 1.12820000e+02 1.09000000e+02 1.06420000e+02 5.76650000e+01 1.70450000e+01 7.25010000e+00 2.24550000e+00 1.01270000e+00 5.60880000e-01 3.53240000e-01 1.77760000e-01 1.08280000e-01 4.79880000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.56290000e+04 2.44930000e+04 2.39870000e+04 2.20350000e+04 2.15750000e+04 1.94960000e+04 8.51730000e+03 2.55310000e+03 1.05250000e+03 5.22350000e+02 2.92480000e+02 1.15900000e+02 1.11680000e+02 1.08830000e+02 5.62090000e+01 1.50780000e+01 5.99150000e+00 1.69870000e+00 7.26390000e-01 3.88880000e-01 2.39390000e-01 1.17100000e-01 7.01310000e-02 3.02820000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.83610000e+03 7.40980000e+03 4.42190000e+03 1.99300000e+03 1.08430000e+03 6.61780000e+02 4.36310000e+02 2.21260000e+02 2.15230000e+02 2.11130000e+02 1.28560000e+02 4.66880000e+01 2.24930000e+01 8.06860000e+00 3.96990000e+00 2.33280000e+00 1.53390000e+00 8.16860000e-01 5.15120000e-01 2.36740000e-01] all other = [ 1.51760000e+06 6.79270000e+05 3.68120000e+05 2.95730000e+05 2.90550000e+05 2.70990000e+05 2.66220000e+05 1.83800000e+05 1.80490000e+05 1.48260000e+05 1.33260000e+05 1.30820000e+05 1.10890000e+05 1.08840000e+05 7.56210000e+04 4.42450000e+04 2.83370000e+04 1.38530000e+04 7.87940000e+03 5.03980000e+03 4.93760000e+03 3.47050000e+03 3.39960000e+03 3.12630000e+03 3.06230000e+03 2.77610000e+03 1.30710000e+03 4.44830000e+02 2.05040000e+02 1.11850000e+02 6.79860000e+01 3.08460000e+01 2.98870000e+01 2.92370000e+01 1.66690000e+01 5.44640000e+00 2.47750000e+00 8.35580000e-01 3.97630000e-01 2.28710000e-01 1.48150000e-01 7.74040000e-02 4.82490000e-02 2.18830000e-02] [Au.binding] K = 81.004 L1 = 14.3435 M5 = 2.2118 M4 = 2.3007 M1 = 3.4035 L3 = 11.9214 M3 = 2.7339 M2 = 3.145 L2 = 13.7769 [At] JL1 = 1.1329772699 JL3 = 2.41291759465 JL2 = 1.37290662268 energy = [ 1.00000000e+00 1.02160000e+00 1.02970000e+00 1.50000000e+00 2.00000000e+00 2.78290000e+00 2.80520000e+00 2.90840000e+00 2.93160000e+00 3.00000000e+00 3.39490000e+00 3.42210000e+00 3.98860000e+00 4.00000000e+00 4.02060000e+00 4.28490000e+00 4.31930000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.42000000e+01 1.43140000e+01 1.50000000e+01 1.68240000e+01 1.69590000e+01 1.74690000e+01 1.76090000e+01 2.00000000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 9.60550000e+01 9.68240000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] JK = 4.49463499726 M5 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.27720000e+05 3.59240000e+05 3.51750000e+05 3.32610000e+05 2.40760000e+05 2.35500000e+05 1.52550000e+05 1.51310000e+05 1.49100000e+05 1.24940000e+05 1.22220000e+05 7.97800000e+04 4.62640000e+04 1.87630000e+04 9.06610000e+03 2.75950000e+03 2.68400000e+03 2.27970000e+03 1.52260000e+03 1.48010000e+03 1.33210000e+03 1.29480000e+03 8.20450000e+02 1.84550000e+02 6.21000000e+01 2.63160000e+01 1.29620000e+01 4.21340000e+00 2.06040000e+00 1.99720000e+00 1.76070000e+00 3.66610000e-01 1.23630000e-01 2.86210000e-02 1.09030000e-02 5.39160000e-03 3.13790000e-03 1.42010000e-03 8.17270000e-04 3.30830000e-04] M4 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 3.36440000e+05 2.38250000e+05 1.73940000e+05 1.70320000e+05 1.11740000e+05 1.10850000e+05 1.09260000e+05 9.12710000e+04 8.93620000e+04 5.93100000e+04 3.47640000e+04 1.43850000e+04 7.05980000e+03 2.20630000e+03 2.14740000e+03 1.83050000e+03 1.23420000e+03 1.20060000e+03 1.08310000e+03 1.05350000e+03 6.74880000e+02 1.57590000e+02 5.46010000e+01 2.37050000e+01 1.19190000e+01 4.00640000e+00 2.00170000e+00 1.94210000e+00 1.71850000e+00 3.74090000e-01 1.29380000e-01 3.05090000e-02 1.15900000e-02 5.65330000e-03 3.23050000e-03 1.41060000e-03 7.88050000e-04 3.05240000e-04] M1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.70470000e+04 1.39840000e+04 1.06230000e+04 6.82880000e+03 4.69170000e+03 2.48870000e+03 2.45200000e+03 2.24620000e+03 1.80350000e+03 1.77590000e+03 1.67680000e+03 1.65110000e+03 1.28620000e+03 5.61320000e+02 3.02830000e+02 1.84680000e+02 1.22070000e+02 6.24330000e+01 4.03590000e+01 3.95920000e+01 3.66290000e+01 1.35860000e+01 6.65340000e+00 2.44160000e+00 1.21880000e+00 7.23030000e-01 4.78430000e-01 2.56530000e-01 1.62220000e-01 7.44890000e-02] M3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 8.80200000e+04 7.19380000e+04 7.15960000e+04 7.09800000e+04 6.33270000e+04 6.23950000e+04 4.73830000e+04 3.37760000e+04 1.86420000e+04 1.13800000e+04 4.96280000e+03 4.86670000e+03 4.33480000e+03 3.24950000e+03 3.18450000e+03 2.95320000e+03 2.89360000e+03 2.08130000e+03 6.95970000e+02 3.07730000e+02 1.60250000e+02 9.29950000e+01 3.87480000e+01 2.20270000e+01 2.14890000e+01 1.94400000e+01 5.48990000e+00 2.24580000e+00 6.56170000e-01 2.84910000e-01 1.53680000e-01 9.49560000e-02 4.65090000e-02 2.77870000e-02 1.19380000e-02] M2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.67930000e+04 2.65040000e+04 2.52970000e+04 2.51160000e+04 2.09710000e+04 1.59490000e+04 9.84750000e+03 6.45980000e+03 3.11870000e+03 3.06460000e+03 2.76330000e+03 2.13690000e+03 2.09860000e+03 1.96090000e+03 1.92530000e+03 1.43150000e+03 5.30400000e+02 2.52150000e+02 1.38990000e+02 8.45390000e+01 3.79870000e+01 2.26750000e+01 2.21680000e+01 2.02290000e+01 6.37330000e+00 2.81430000e+00 9.09170000e-01 4.19970000e-01 2.36090000e-01 1.50200000e-01 7.64570000e-02 4.70070000e-02 2.10370000e-02] total = [ 2.04150000e+06 1.96300000e+06 1.97550000e+06 9.47780000e+05 5.16930000e+05 2.48850000e+05 7.72120000e+05 5.84410000e+05 9.09300000e+05 7.80650000e+05 5.72580000e+05 6.48830000e+05 4.44590000e+05 4.68180000e+05 4.62190000e+05 3.96310000e+05 4.05900000e+05 2.84700000e+05 1.82050000e+05 8.84590000e+04 5.00760000e+04 2.02050000e+04 4.87530000e+04 4.33260000e+04 3.15280000e+04 4.32850000e+04 4.02550000e+04 4.56080000e+04 3.29340000e+04 1.14570000e+04 5.33340000e+03 2.92540000e+03 1.78430000e+03 8.13810000e+02 4.93010000e+02 2.21590000e+03 2.03710000e+03 7.10590000e+02 3.34040000e+02 1.16600000e+02 5.67300000e+01 3.31890000e+01 2.17920000e+01 1.16060000e+01 7.32520000e+00 3.36940000e+00] JM2 = 1.05306012281 JM3 = 1.13316916413 K = [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1733.5 1595.6 565.29 267.57 93.98 45.891 26.923 17.718 9.4686 5.9899 2.7634] JM1 = 1.02419822866 M = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 5.27720000e+05 3.59240000e+05 6.88180000e+05 5.70860000e+05 4.14710000e+05 4.93840000e+05 3.36230000e+05 3.60550000e+05 3.55850000e+05 3.04830000e+05 3.16140000e+05 2.21430000e+05 1.41380000e+05 6.84660000e+04 3.86580000e+04 1.55360000e+04 1.52150000e+04 1.34550000e+04 9.94660000e+03 9.73960000e+03 9.00610000e+03 8.81830000e+03 6.29440000e+03 2.12980000e+03 9.79410000e+02 5.33930000e+02 3.24490000e+02 1.47390000e+02 8.91230000e+01 8.71880000e+01 7.97770000e+01 2.61900000e+01 1.19660000e+01 4.06600000e+00 1.94620000e+00 1.12390000e+00 7.29950000e-01 3.82330000e-01 2.38610000e-01 1.08100000e-01] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.89640000e+04 2.58160000e+04 1.85680000e+04 3.05940000e+04 2.85160000e+04 3.41130000e+04 2.47180000e+04 8.66660000e+03 4.04750000e+03 2.22330000e+03 1.35720000e+03 6.19460000e+02 3.75380000e+02 3.67260000e+02 3.36140000e+02 1.10660000e+02 5.06310000e+01 1.72310000e+01 8.25860000e+00 4.77530000e+00 3.10540000e+00 1.62980000e+00 1.01860000e+00 4.62490000e-01] JM4 = 1.55592820109 JM5 = 3.10275266225 L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.24150000e+04 1.17180000e+04 1.14800000e+04 8.23760000e+03 2.82960000e+03 1.27940000e+03 6.79960000e+02 4.02580000e+02 1.74270000e+02 1.01920000e+02 9.95620000e+01 9.05560000e+01 2.75150000e+01 1.19120000e+01 3.76920000e+00 1.72320000e+00 9.62900000e-01 6.10290000e-01 3.09350000e-01 1.89620000e-01 8.46400000e-02] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.89640000e+04 2.58160000e+04 1.85680000e+04 1.81790000e+04 1.67990000e+04 1.64430000e+04 1.15590000e+04 3.51290000e+03 1.47250000e+03 7.39280000e+02 4.17670000e+02 1.67780000e+02 9.35080000e+01 9.11500000e+01 8.21940000e+01 2.24210000e+01 9.00320000e+00 2.58110000e+00 1.11060000e+00 5.96070000e-01 3.67200000e-01 1.79270000e-01 1.07210000e-01 4.60030000e-02] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.18920000e+03 4.92160000e+03 2.32400000e+03 1.29560000e+03 8.04100000e+02 5.36910000e+02 2.77410000e+02 1.79950000e+02 1.76550000e+02 1.63390000e+02 6.07290000e+01 2.97160000e+01 1.08810000e+01 5.42470000e+00 3.21630000e+00 2.12790000e+00 1.14120000e+00 7.21820000e-01 3.31850000e-01] all other = [ 2.04150000e+06 1.96300000e+06 1.97550000e+06 9.47780000e+05 5.16930000e+05 2.48850000e+05 2.44400000e+05 2.25170000e+05 2.21110000e+05 2.09790000e+05 1.57880000e+05 1.54990000e+05 1.08360000e+05 1.07630000e+05 1.06340000e+05 9.14770000e+04 8.97620000e+04 6.32700000e+04 4.06690000e+04 1.99930000e+04 1.14180000e+04 4.66940000e+03 4.57450000e+03 4.05460000e+03 3.01340000e+03 2.95170000e+03 2.73300000e+03 2.67700000e+03 1.92140000e+03 6.60230000e+02 3.06430000e+02 1.68130000e+02 1.02660000e+02 4.69620000e+01 2.85120000e+01 2.78970000e+01 2.55420000e+01 8.44450000e+00 3.87400000e+00 1.32190000e+00 6.34240000e-01 3.66760000e-01 2.38420000e-01 1.24990000e-01 7.80430000e-02 3.53640000e-02] [At.binding] K = 96.1506 L1 = 17.487 M5 = 2.7857 M4 = 2.9113 M1 = 4.2892 L3 = 14.2142 M3 = 3.3983 M2 = 3.9926 L2 = 16.8411 [In] JL1 = 1.12595475553 JL3 = 3.10386875069 JL2 = 1.33643164815 energy = [ 1.00000000e+00 1.50000000e+00 2.00000000e+00 3.00000000e+00 3.72460000e+00 3.75440000e+00 3.93880000e+00 3.97030000e+00 4.00000000e+00 4.20990000e+00 4.24360000e+00 5.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.50000000e+01 2.00000000e+01 2.78940000e+01 2.81180000e+01 3.00000000e+01 4.00000000e+01 5.00000000e+01 6.00000000e+01 8.00000000e+01 1.00000000e+02 1.50000000e+02 2.00000000e+02 3.00000000e+02 4.00000000e+02 5.00000000e+02 6.00000000e+02 8.00000000e+02 1.00000000e+03 1.50000000e+03] M2 = [ 1.04170000e+05 5.91860000e+04 3.58060000e+04 1.58690000e+04 9.84570000e+03 9.66900000e+03 8.66360000e+03 8.50550000e+03 8.36000000e+03 7.42080000e+03 7.28330000e+03 4.92000000e+03 3.12850000e+03 1.48020000e+03 8.06200000e+02 2.52860000e+02 1.06860000e+02 3.81120000e+01 3.71670000e+01 3.02820000e+01 1.20380000e+01 5.81440000e+00 3.18930000e+00 1.22770000e+00 5.84250000e-01 1.52700000e-01 5.99490000e-02 1.68170000e-02 7.13910000e-03 3.79780000e-03 2.32490000e-03 1.12400000e-03 6.69390000e-04 2.86780000e-04] M = [ 1.31250000e+06 5.21110000e+05 2.60400000e+05 9.44130000e+04 5.41840000e+04 5.30780000e+04 4.68740000e+04 4.59130000e+04 4.50320000e+04 3.94180000e+04 3.86080000e+04 2.51160000e+04 1.54990000e+04 7.16590000e+03 3.90820000e+03 1.27870000e+03 5.72730000e+02 2.23980000e+02 2.18970000e+02 1.82140000e+02 8.00810000e+01 4.21390000e+01 2.48700000e+01 1.07750000e+01 5.61600000e+00 1.71690000e+00 7.44880000e-01 2.35580000e-01 1.07590000e-01 6.02820000e-02 3.84030000e-02 1.97390000e-02 1.22650000e-02 5.62730000e-03] L = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.34130000e+05 1.21760000e+05 1.82230000e+05 1.81070000e+05 1.59510000e+05 1.86340000e+05 1.24770000e+05 7.76970000e+04 3.64960000e+04 2.00540000e+04 6.60890000e+03 2.96510000e+03 1.16050000e+03 1.13450000e+03 9.43850000e+02 4.15010000e+02 2.18370000e+02 1.28850000e+02 5.57940000e+01 2.90670000e+01 8.87690000e+00 3.84830000e+00 1.21600000e+00 5.55360000e-01 3.11130000e-01 1.98220000e-01 1.01920000e-01 6.33440000e-02 2.90850000e-02] M5 = [ 5.39110000e+05 1.77010000e+05 7.51560000e+04 2.06750000e+04 1.00060000e+04 9.73770000e+03 8.26280000e+03 8.03910000e+03 7.83530000e+03 6.56470000e+03 6.38540000e+03 3.58790000e+03 1.86160000e+03 6.40030000e+02 2.72370000e+02 5.47780000e+01 1.69440000e+01 4.22740000e+00 4.08760000e+00 3.10850000e+00 9.13720000e-01 3.51220000e-01 1.60640000e-01 4.68710000e-02 1.81630000e-02 3.35270000e-03 1.05010000e-03 2.26600000e-04 8.33410000e-05 4.04610000e-05 2.32600000e-05 1.07380000e-05 6.16640000e-06 2.65750000e-06] M4 = [ 3.69720000e+05 1.22570000e+05 5.23740000e+04 1.45420000e+04 7.07500000e+03 6.88650000e+03 5.85060000e+03 5.69330000e+03 5.55000000e+03 4.65610000e+03 4.52990000e+03 2.55640000e+03 1.33330000e+03 4.62480000e+02 1.98330000e+02 4.05260000e+01 1.27020000e+01 3.22540000e+00 3.12010000e+00 2.38180000e+00 7.12820000e-01 2.78200000e-01 1.28910000e-01 3.84280000e-02 1.51390000e-02 2.86800000e-03 9.14870000e-04 1.96230000e-04 7.00710000e-05 3.29860000e-05 1.85560000e-05 7.77020000e-06 4.23690000e-06 1.61760000e-06] L2 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.28830000e+04 6.38870000e+04 5.60090000e+04 5.49730000e+04 3.63140000e+04 2.19790000e+04 9.79090000e+03 5.10430000e+03 1.49600000e+03 6.07560000e+02 2.08620000e+02 2.03280000e+02 1.64580000e+02 6.38070000e+01 3.03250000e+01 1.64450000e+01 6.23580000e+00 2.93910000e+00 7.57960000e-01 2.95560000e-01 8.22160000e-02 3.47650000e-02 1.84450000e-02 1.12730000e-02 5.44260000e-03 3.23390000e-03 1.38860000e-03] L3 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 1.34130000e+05 1.21760000e+05 1.19350000e+05 1.17190000e+05 1.03500000e+05 1.01460000e+05 6.50690000e+04 3.89280000e+04 1.68940000e+04 8.65560000e+03 2.45470000e+03 9.72240000e+02 3.23620000e+02 3.15090000e+02 2.53450000e+02 9.53430000e+01 4.41800000e+01 2.34360000e+01 8.56100000e+00 3.91220000e+00 9.51280000e-01 3.56050000e-01 9.43280000e-02 3.90250000e-02 2.05670000e-02 1.25890000e-02 6.16790000e-03 3.72140000e-03 1.65640000e-03] M3 = [ 2.25120000e+05 1.19880000e+05 7.01800000e+04 2.99650000e+04 1.82590000e+04 1.79190000e+04 1.59930000e+04 1.56910000e+04 1.54140000e+04 1.36300000e+04 1.33690000e+04 8.91610000e+03 5.59040000e+03 2.58720000e+03 1.38470000e+03 4.20120000e+02 1.73110000e+02 5.98190000e+01 5.82880000e+01 4.71820000e+01 1.81910000e+01 8.56310000e+00 4.59310000e+00 1.70270000e+00 7.85440000e-01 1.93530000e-01 7.29440000e-02 1.94320000e-02 8.06520000e-03 4.25630000e-03 2.60650000e-03 1.27910000e-03 7.73720000e-04 3.44520000e-04] L1 = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.99080000e+04 2.33830000e+04 1.67900000e+04 9.81160000e+03 6.29460000e+03 2.65810000e+03 1.38530000e+03 6.28210000e+02 6.16140000e+02 5.25820000e+02 2.55860000e+02 1.43860000e+02 8.89670000e+01 4.09980000e+01 2.22160000e+01 7.16760000e+00 3.19670000e+00 1.03940000e+00 4.81570000e-01 2.72120000e-01 1.74360000e-01 9.03050000e-02 5.63890000e-02 2.60400000e-02] JK = 6.10070683743 M1 = [ 7.43440000e+04 4.24530000e+04 2.68840000e+04 1.33620000e+04 8.99820000e+03 8.86560000e+03 8.10450000e+03 7.98370000e+03 7.87240000e+03 7.14700000e+03 7.03980000e+03 5.13600000e+03 3.58580000e+03 1.99590000e+03 1.24660000e+03 5.10450000e+02 2.63110000e+02 1.18600000e+02 1.16300000e+02 9.91910000e+01 4.82250000e+01 2.71320000e+01 1.67980000e+01 7.75880000e+00 4.21300000e+00 1.36450000e+00 6.10020000e-01 1.98910000e-01 9.22340000e-02 5.21540000e-02 3.34300000e-02 1.73170000e-02 1.08120000e-02 4.99180000e-03] all other = [ 1.74980000e+05 7.44110000e+04 3.91000000e+04 1.51420000e+04 8.96310000e+03 8.78950000e+03 7.81230000e+03 7.66010000e+03 7.52050000e+03 6.62630000e+03 6.49640000e+03 4.31220000e+03 2.71570000e+03 1.29320000e+03 7.20390000e+02 2.43720000e+02 1.11410000e+02 4.44790000e+01 4.35040000e+01 3.63200000e+01 1.62090000e+01 8.61340000e+00 5.12170000e+00 2.24030000e+00 1.17520000e+00 3.62650000e-01 1.58120000e-01 5.02630000e-02 2.30250000e-02 1.29210000e-02 8.23970000e-03 4.24060000e-03 2.63700000e-03 1.21160000e-03] total = [ 1.48740000e+06 5.95520000e+05 2.99500000e+05 1.09560000e+05 6.31470000e+04 1.96000000e+05 1.76440000e+05 2.35800000e+05 2.33630000e+05 2.05550000e+05 2.31440000e+05 1.54190000e+05 9.59120000e+04 4.49550000e+04 2.46830000e+04 8.13130000e+03 3.64930000e+03 1.42890000e+03 8.71730000e+03 7.37920000e+03 3.46480000e+03 1.88290000e+03 1.13580000e+03 5.05040000e+02 2.66820000e+02 8.27810000e+01 3.61120000e+01 1.14700000e+01 5.25480000e+00 2.95190000e+00 1.88550000e+00 9.74090000e-01 6.07920000e-01 2.81100000e-01] K = [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.32040000e+03 6.21690000e+03 2.95350000e+03 1.61380000e+03 9.77000000e+02 4.36230000e+02 2.30960000e+02 7.18250000e+01 3.13610000e+01 9.96850000e+00 4.56880000e+00 2.56750000e+00 1.64060000e+00 8.48200000e-01 5.29680000e-01 2.45170000e-01] [In.binding] K = 27.9221 L1 = 4.2141 M5 = 0.4529 M4 = 0.461 M1 = 0.8114 L3 = 3.7283 M3 = 0.6606 M2 = 0.6998 L2 = 3.9427 PyMca5-5.2.2/PyMca5/PyMcaData/LShellRatesCampbell.dat0000644000276300001750000006774013136054446022164 0ustar solebliss00000000000000 #S 1 L1 Subshell X-ray emission rates. #U0 File: AP0L1R.DAT received by courtesy of J.L. Campbell #U1 #U2 X-ray emission rates for determining relative x-ray line intensities. #U3 #U4 Reference: J.L.Campbell and J.X.Wang. Interpolated Dirac-Fock values of L #U5 subshell X-ray emission rates including overlap and exchange effects. At.Data #U6 Nucl.Data Tables 43 (1989) 281-291. #U7 #N 10 #L Z L1L3 L1M2 L1M3 L1N2 L1N3 L1O23 L1P23 L1M45 L1N45 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0 0 0 0 0 18 8.559E-2 3.125E-1 6.019E-1 0 0 0 0 0 0 19 6.223E-2 3.205E-1 6.173E-1 0 0 0 0 0 0 20 4.786E-2 3.260E-1 6.261E-1 0 0 0 0 0 0 21 3.998E-2 3.295E-1 6.304E-1 0 0 0 0 8.738E-5 0 22 3.401E-2 3.329E-1 6.329E-1 0 0 0 0 2.113E-4 0 23 2.955E-2 3.350E-1 6.351E-1 0 0 0 0 3.738E-4 0 24 2.667E-2 3.365E-1 6.362E-1 0 0 0 0 6.452E-4 0 25 2.331E-2 3.390E-1 6.368E-1 0 0 0 0 8.210E-4 0 26 2.102E-2 3.403E-1 6.375E-1 0 0 0 0 1.108E-3 0 27 1.914E-2 3.419E-1 6.375E-1 0 0 0 0 1.441E-3 0 28 1.757E-2 3.437E-1 6.369E-1 0 0 0 0 1.820E-3 0 29 1.669E-2 3.452E-1 6.358E-1 0 0 0 0 2.337E-3 0 30 1.552E-2 3.465E-1 6.352E-1 0 0 0 0 2.714E-3 0 31 1.448E-2 3.479E-1 6.345E-1 0 0 0 0 3.092E-3 0 32 1.326E-2 3.411E-1 6.187E-1 8.346E-3 1.523E-2 0 0 3.372E-3 0 33 1.227E-2 3.362E-1 6.068E-1 1.454E-2 2.652E-2 0 0 3.683E-3 0 34 1.139E-2 3.298E-1 5.950E-1 2.121E-2 3.852E-2 0 0 3.982E-3 0 35 1.064E-2 3.246E-1 5.817E-1 2.807E-2 5.076E-2 0 0 4.265E-3 0 36 9.979E-3 3.189E-1 5.685E-1 3.509E-2 6.301E-2 0 0 4.528E-3 0 37 9.460E-3 3.151E-1 5.588E-1 3.995E-2 7.188E-2 0 0 4.824E-3 0 38 9.045E-3 3.129E-1 5.507E-1 4.376E-2 7.844E-2 0 0 5.128E-3 0 39 8.727E-3 3.117E-1 5.458E-1 4.611E-2 8.219E-2 0 0 5.458E-3 0 40 8.475E-3 3.113E-1 5.412E-1 4.805E-2 8.518E-2 0 0 5.791E-3 6.392E-5 41 8.304E-3 3.117E-1 5.382E-1 4.913E-2 8.644E-2 0 0 6.155E-3 1.358E-4 42 8.143E-3 3.112E-1 5.345E-1 5.074E-2 8.878E-2 0 0 6.504E-3 1.981E-4 43 8.032E-3 3.113E-1 5.304E-1 5.226E-2 9.091E-2 0 0 6.860E-3 2.707E-4 44 7.964E-3 3.112E-1 5.268E-1 5.367E-2 9.279E-2 0 0 7.222E-3 3.537E-4 45 7.920E-3 3.113E-1 5.230E-1 5.498E-2 9.474E-2 0 0 7.598E-3 4.475E-4 46 7.915E-3 3.117E-1 5.206E-1 5.582E-2 9.543E-2 0 0 7.988E-3 5.702E-4 47 7.938E-3 3.113E-1 5.164E-1 5.755E-2 9.777E-2 0 0 8.372E-3 6.687E-4 48 7.983E-3 3.108E-1 5.122E-1 5.934E-2 1.002E-1 0 0 8.753E-3 7.658E-4 49 8.062E-3 3.102E-1 5.077E-1 6.110E-2 1.029E-1 0 0 9.176E-3 8.695E-4 50 8.108E-3 3.076E-1 5.013E-1 6.241E-2 1.049E-1 5.205E-3 0 9.501E-3 9.647E-4 51 8.203E-3 3.064E-1 4.956E-1 6.377E-2 1.059E-1 9.128E-3 0 9.898E-3 1.065E-3 52 8.307E-3 3.047E-1 4.899E-1 6.490E-2 1.073E-1 1.350E-2 0 1.028E-2 1.162E-3 53 8.445E-3 3.032E-1 4.835E-1 6.608E-2 1.086E-1 1.828E-2 0 1.067E-2 1.262E-3 54 8.602E-3 3.017E-1 4.774E-1 6.703E-2 1.096E-1 2.336E-2 0 1.106E-2 1.359E-3 55 8.786E-3 3.008E-1 4.715E-1 6.814E-2 1.107E-1 2.716E-2 0 1.146E-2 1.460E-3 56 8.999E-3 3.001E-1 4.663E-1 6.919E-2 1.117E-1 3.026E-2 0 1.189E-2 1.565E-3 57 9.253E-3 2.997E-1 4.613E-1 7.047E-2 1.129E-1 3.232E-2 0 1.234E-2 1.674E-3 58 9.598E-3 3.019E-1 4.610E-1 7.088E-2 1.125E-1 2.945E-2 0 1.290E-2 1.733E-3 59 9.933E-3 3.032E-1 4.583E-1 7.160E-2 1.127E-1 2.902E-2 0 1.344E-2 1.816E-3 60 1.032E-2 3.044E-1 4.556E-1 7.234E-2 1.128E-1 2.864E-2 0 1.400E-2 1.903E-3 61 1.072E-2 3.056E-1 4.532E-1 7.296E-2 1.127E-1 2.826E-2 0 1.457E-2 1.988E-3 62 1.117E-2 3.070E-1 4.504E-1 7.365E-2 1.127E-1 2.787E-2 0 1.515E-2 2.075E-3 63 1.166E-2 3.085E-1 4.476E-1 7.425E-2 1.126E-1 2.748E-2 0 1.575E-2 2.162E-3 64 1.216E-2 3.091E-1 4.435E-1 7.505E-2 1.126E-1 2.901E-2 0 1.632E-2 2.272E-3 65 1.273E-2 3.118E-1 4.417E-1 7.551E-2 1.121E-1 2.678E-2 0 1.702E-2 2.348E-3 66 1.334E-2 3.131E-1 4.390E-1 7.624E-2 1.119E-1 2.639E-2 0 1.766E-2 2.445E-3 67 1.399E-2 3.147E-1 4.360E-1 7.677E-2 1.116E-1 2.603E-2 0 1.834E-2 2.542E-3 68 1.467E-2 3.165E-1 4.327E-1 7.736E-2 1.114E-1 2.568E-2 0 1.903E-2 2.642E-3 69 1.544E-2 3.181E-1 4.296E-1 7.813E-2 1.110E-1 2.535E-2 0 1.975E-2 2.747E-3 70 1.624E-2 3.199E-1 4.264E-1 7.865E-2 1.105E-1 2.508E-2 0 2.046E-2 2.853E-3 71 1.708E-2 3.211E-1 4.218E-1 7.933E-2 1.103E-1 2.629E-2 0 2.117E-2 2.979E-3 72 1.797E-2 3.218E-1 4.174E-1 8.019E-2 1.101E-1 2.753E-2 0 2.189E-2 3.108E-3 73 1.894E-2 3.228E-1 4.130E-1 8.088E-2 1.098E-1 2.867E-2 0 2.262E-2 3.244E-3 74 1.995E-2 3.242E-1 4.082E-1 8.163E-2 1.095E-1 2.976E-2 0 2.337E-2 3.390E-3 75 2.104E-2 3.253E-1 4.032E-1 8.245E-2 1.094E-1 3.085E-2 0 2.414E-2 3.539E-3 76 2.221E-2 3.271E-1 3.980E-1 8.323E-2 1.091E-1 3.181E-2 0 2.491E-2 3.696E-3 77 2.349E-2 3.278E-1 3.936E-1 8.427E-2 1.090E-1 3.222E-2 0 2.576E-2 3.865E-3 78 2.482E-2 3.289E-1 3.885E-1 8.495E-2 1.086E-1 3.352E-2 0 2.657E-2 4.034E-3 79 2.622E-2 3.306E-1 3.831E-1 8.567E-2 1.082E-1 3.452E-2 0 2.741E-2 4.208E-3 80 2.772E-2 3.320E-1 3.780E-1 8.643E-2 1.077E-1 3.577E-2 0 2.801E-2 4.388E-3 81 2.937E-2 3.330E-1 3.725E-1 8.714E-2 1.072E-1 3.705E-2 0 2.914E-2 4.578E-3 82 3.098E-2 3.338E-1 3.665E-1 8.777E-2 1.066E-1 3.827E-2 1.348E-3 2.998E-2 4.761E-3 83 3.282E-2 3.350E-1 3.602E-1 8.864E-2 1.058E-1 3.932E-2 2.384E-3 3.087E-2 4.965E-3 84 3.467E-2 3.358E-1 3.544E-1 8.937E-2 1.049E-1 4.037E-2 3.566E-3 3.177E-2 5.170E-3 85 3.677E-2 3.371E-1 3.479E-1 9.000E-2 1.040E-1 4.129E-2 4.853E-3 3.263E-2 5.378E-3 86 3.891E-2 3.381E-1 3.414E-1 9.081E-2 1.031E-1 4.221E-2 6.237E-3 3.362E-2 5.591E-3 87 4.122E-2 3.390E-1 3.352E-1 9.166E-2 1.022E-1 4.315E-2 7.208E-3 3.459E-2 5.821E-3 88 4.363E-2 3.404E-1 3.288E-1 9.240E-2 1.012E-1 4.401E-2 7.974E-3 3.558E-2 6.057E-3 89 4.625E-2 3.418E-1 3.223E-1 9.317E-2 1.002E-1 4.486E-2 8.554E-3 3.661E-2 6.299E-3 90 4.904E-2 3.430E-1 3.158E-1 9.404E-2 9.912E-2 4.577E-2 9.082E-3 3.762E-2 6.553E-3 91 5.201E-2 3.448E-1 3.098E-1 9.494E-2 9.807E-2 4.623E-2 8.658E-3 3.873E-2 6.821E-3 92 5.517E-2 3.467E-1 3.031E-1 9.571E-2 9.693E-2 4.682E-2 8.692E-3 3.986E-2 7.092E-3 93 5.857E-2 3.481E-1 2.962E-1 9.653E-2 9.591E-2 4.734E-2 9.005E-3 4.102E-2 7.379E-3 94 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 95 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 96 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 97 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 98 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 99 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 100 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 101 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 102 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 103 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 104 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 105 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 106 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 107 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 108 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 109 6.215E-2 3.500E-1 2.894E-1 9.730E-2 9.462E-2 4.782E-2 8.834E-3 4.216E-2 7.670E-3 #S 2 L2 Subshell X-ray emission rates. #U0 File: AP0L2R.DAT received by courtesy of J.L. Campbell #U1 #U2 X-ray emission rates for determining relative x-ray line intensities. #U3 #U4 Reference: J.L.Campbell and J.X.Wang. Interpolated Dirac-Fock values of L #U5 subshell X-ray emission rates including overlap and exchange effects. At.Data #U6 Nucl.Data Tables 43 (1989) 281-291. #U7 #N 8 #L Z L2M1 L2M4 L2N1 L2N4 L2O1 L2O4 L2P1 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 17 0 0 0 0 0 0 0 18 1 0 0 0 0 0 0 19 1 0 0 0 0 0 0 20 1 0 0 0 0 0 0 21 1 0 0 0 0 0 0 22 1 0 0 0 0 0 0 23 1 0 0 0 0 0 0 24 1 0 0 0 0 0 0 25 1 0 0 0 0 0 0 26 8.246E-2 9.103E-1 7.201E-3 0 0 0 0 27 6.939E-2 9.248E-1 5.859E-3 0 0 0 0 28 5.949E-2 9.358E-1 4.745E-3 0 0 0 0 29 5.044E-2 9.481E-1 1.433E-3 0 0 0 0 30 4.609E-2 9.507E-1 3.200E-3 0 0 0 0 31 4.277E-2 9.535E-1 3.745E-3 0 0 0 0 32 4.033E-2 9.557E-1 3.967E-3 0 0 0 0 33 3.837E-2 9.575E-1 4.108E-3 0 0 0 0 34 3.684E-2 9.589E-1 4.226E-3 0 0 0 0 35 3.556E-2 9.601E-1 4.358E-3 0 0 0 0 36 3.451E-2 9.610E-1 4.489E-3 0 0 0 0 37 3.355E-2 9.617E-1 4.797E-3 0 0 0 0 38 3.271E-2 9.622E-1 5.060E-3 0 0 0 0 39 3.195E-2 9.629E-1 5.151E-3 0 0 0 0 40 3.078E-2 9.492E-1 4.977E-3 1.503E-2 0 0 0 41 2.978E-2 9.356E-1 5.005E-3 2.899E-2 5.843E-4 0 0 42 2.905E-2 9.266E-1 5.066E-3 3.901E-2 2.411E-4 0 0 43 2.829E-2 9.170E-1 5.076E-3 4.935E-2 2.353E-4 0 0 44 2.758E-2 9.073E-1 5.066E-3 5.985E-2 2.266E-4 0 0 45 2.708E-2 8.969E-1 5.067E-3 7.074E-2 2.182E-4 0 0 46 2.646E-2 8.841E-1 4.999E-3 8.418E-2 2.071E-4 0 0 47 2.606E-2 8.758E-1 5.019E-3 9.295E-2 2.144E-4 0 0 48 2.567E-2 8.681E-1 5.036E-3 1.006E-1 5.098E-4 0 0 49 2.526E-2 8.611E-1 5.063E-3 1.080E-1 5.971E-4 0 0 50 2.493E-2 8.546E-1 5.113E-3 1.147E-1 6.448E-4 0 0 51 2.455E-2 8.491E-1 5.156E-3 1.205E-1 6.840E-4 0 0 52 2.426E-2 8.439E-1 5.203E-3 1.259E-1 7.266E-4 0 0 53 2.398E-2 8.391E-1 5.240E-3 1.309E-1 7.786E-4 0 0 54 2.373E-2 8.348E-1 5.277E-3 1.353E-1 8.440E-4 0 0 55 2.349E-2 8.306E-1 5.319E-3 1.397E-1 9.086E-4 0 0 56 2.325E-2 8.262E-1 5.356E-3 1.441E-1 9.706E-4 0 1.592E-4 57 2.299E-2 8.228E-1 5.380E-3 1.477E-1 1.016E-3 0 1.768E-4 58 2.292E-2 8.241E-1 5.368E-3 1.465E-1 9.519E-4 0 1.444E-4 59 2.286E-2 8.229E-1 5.389E-3 1.477E-1 9.428E-4 0 1.382E-4 60 2.275E-2 8.222E-1 5.391E-3 1.486E-1 9.350E-4 0 1.325E-4 61 2.271E-2 8.215E-1 5.401E-3 1.493E-1 9.261E-4 0 1.275E-4 62 2.261E-2 8.209E-1 5.399E-3 1.501E-1 9.171E-4 0 1.231E-4 63 2.253E-2 8.206E-1 5.398E-3 1.505E-1 9.091E-4 0 1.191E-4 64 2.244E-2 8.186E-1 5.421E-3 1.524E-1 9.444E-4 0 1.359E-4 65 2.241E-2 8.195E-1 5.406E-3 1.517E-1 8.949E-4 0 1.124E-4 66 2.237E-2 8.190E-1 5.422E-3 1.522E-1 8.878E-4 0 1.094E-4 67 2.237E-2 8.183E-1 5.426E-3 1.529E-1 8.822E-4 0 1.068E-4 68 2.230E-2 8.180E-1 5.426E-3 1.533E-1 8.755E-4 0 1.039E-4 69 2.230E-2 8.172E-1 5.444E-3 1.540E-1 8.697E-4 0 1.013E-4 70 2.228E-2 8.168E-1 5.447E-3 1.545E-1 8.628E-4 0 9.834E-5 71 2.223E-2 8.155E-1 5.456E-3 1.558E-1 8.908E-4 0 1.101E-4 72 2.219E-2 8.139E-1 5.484E-3 1.574E-1 9.210E-4 0 1.160E-4 73 2.207E-2 8.094E-1 5.476E-3 1.584E-1 9.466E-4 3.552E-3 1.194E-4 74 2.204E-2 8.062E-1 5.497E-3 1.599E-1 9.771E-4 5.281E-3 1.221E-4 75 2.195E-2 8.032E-1 5.508E-3 1.610E-1 1.007E-3 7.192E-3 1.242E-4 76 2.188E-2 7.998E-1 5.525E-3 1.623E-1 1.039E-3 9.291E-3 1.258E-4 77 2.178E-2 7.953E-1 5.532E-3 1.632E-1 1.063E-3 1.313E-2 0 78 2.175E-2 7.927E-1 5.559E-3 1.640E-1 1.092E-3 1.485E-2 5.624E-5 79 2.168E-2 7.893E-1 5.581E-3 1.649E-1 1.118E-3 1.741E-2 5.656E-5 80 2.166E-2 7.867E-1 5.597E-3 1.656E-1 1.149E-3 1.915E-2 1.296E-4 81 2.165E-2 7.836E-1 5.621E-3 1.668E-1 1.179E-3 2.098E-2 1.577E-4 82 2.160E-2 7.809E-1 5.649E-3 1.678E-1 1.211E-3 2.273E-2 1.788E-4 83 2.160E-2 7.781E-1 5.672E-3 1.688E-1 1.239E-3 2.436E-2 1.967E-4 84 2.153E-2 7.756E-1 5.701E-3 1.698E-1 1.270E-3 2.590E-2 2.133E-4 85 2.154E-2 7.728E-1 5.725E-3 1.710E-1 1.301E-3 2.741E-2 2.289E-4 86 2.154E-2 7.702E-1 5.755E-3 1.721E-1 1.333E-3 2.883E-2 2.434E-4 87 2.155E-2 7.676E-1 5.789E-3 1.732E-1 1.365E-3 3.027E-2 2.645E-4 88 2.153E-2 7.651E-1 5.817E-3 1.742E-1 1.395E-3 3.168E-2 2.846E-4 89 2.155E-2 7.623E-1 5.851E-3 1.755E-1 1.425E-3 3.305E-2 3.026E-4 90 2.156E-2 7.599E-1 5.879E-3 1.765E-1 1.454E-3 3.438E-2 3.193E-4 91 2.157E-2 7.579E-1 5.911E-3 1.778E-1 1.478E-3 3.504E-2 3.151E-4 92 2.160E-2 7.558E-1 5.945E-3 1.789E-1 1.507E-3 3.592E-2 3.219E-4 93 2.163E-2 7.537E-1 5.977E-3 1.801E-1 1.533E-3 3.678E-2 3.324E-4 94 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 95 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 96 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 97 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 98 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 99 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 100 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 101 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 102 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 103 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 104 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 105 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 106 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 107 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 108 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 109 2.169E-2 7.519E-1 6.010E-3 1.811E-1 1.557E-3 3.738E-2 3.333E-4 #S 3 L3 Subshell X-ray emission rates. #U0 File: AP0L3R.DAT received by courtesy of J.L. Campbell #U1 #U2 X-ray emission rates for determining relative x-ray line intensities. #U3 #U4 Reference: J.L.Campbell and J.X.Wang. Interpolated Dirac-Fock values of L #U5 subshell X-ray emission rates including overlap and exchange effects. At.Data #U6 Nucl.Data Tables 43 (1989) 281-291. #U7 #N 10 #L Z L3M1 L3M4 L3M5 L3N1 L3N4 L3N5 L3O1 L3O45 L3P1 1 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 16 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0 0 0 0 0 18 1 0 0 0 0 0 0 0 0 19 1 0 0 0 0 0 0 0 0 20 1 0 0 0 0 0 0 0 0 21 1 0 0 0 0 0 0 0 0 22 1 0 0 0 0 0 0 0 0 23 1 0 0 0 0 0 0 0 0 24 1 0 0 0 0 0 0 0 0 25 1 0 0 0 0 0 0 0 0 26 8.581E-2 9.302E-2 8.137E-1 7.437E-3 0 0 0 0 0 27 7.263E-2 9.457E-2 8.268E-1 6.042E-3 0 0 0 0 0 28 6.288E-2 9.575E-2 8.364E-1 4.982E-3 0 0 0 0 0 29 5.377E-2 9.734E-2 8.474E-1 1.535E-3 0 0 0 0 0 30 4.935E-2 9.732E-2 8.499E-1 3.474E-3 0 0 0 0 0 31 4.616E-2 9.740E-2 8.524E-1 4.072E-3 0 0 0 0 0 32 4.384E-2 9.744E-2 8.545E-1 4.251E-3 0 0 0 0 0 33 4.204E-2 9.758E-2 8.559E-1 4.523E-3 0 0 0 0 0 34 4.067E-2 9.760E-2 8.570E-1 4.720E-3 0 0 0 0 0 35 3.954E-2 9.762E-2 8.580E-1 4.879E-3 0 0 0 0 0 36 3.865E-2 9.762E-2 8.587E-1 5.003E-3 0 0 0 0 0 37 3.789E-2 9.755E-2 8.593E-1 5.304E-3 0 0 0 0 0 38 3.722E-2 9.762E-2 8.596E-1 5.569E-3 0 0 0 0 0 39 3.665E-2 9.758E-2 8.601E-1 5.714E-3 0 0 0 0 0 40 3.569E-2 9.607E-2 8.468E-1 5.723E-3 1.515E-3 1.341E-2 7.861E-4 0 0 41 3.490E-2 9.471E-2 8.356E-1 5.767E-3 2.925E-3 2.578E-2 3.226E-4 0 0 42 3.429E-2 9.381E-2 8.272E-1 5.884E-3 3.924E-3 3.461E-2 3.170E-4 0 0 43 3.372E-2 9.283E-2 8.185E-1 5.965E-3 4.954E-3 4.370E-2 3.081E-4 0 0 44 3.320E-2 9.182E-2 8.097E-1 6.039E-3 5.999E-3 5.293E-2 3.003E-4 0 0 45 3.293E-2 9.084E-2 8.001E-1 6.089E-3 7.100E-3 6.265E-2 2.909E-4 0 0 46 3.263E-2 8.961E-2 7.892E-1 6.091E-3 8.442E-3 7.400E-2 0 0 0 47 3.237E-2 8.862E-2 7.815E-1 6.163E-3 9.295E-3 8.181E-2 2.635E-4 0 0 48 3.213E-2 8.780E-2 7.746E-1 6.235E-3 1.002E-2 8.859E-2 6.283E-4 0 0 49 3.199E-2 8.704E-2 7.680E-1 6.345E-3 1.074E-2 9.513E-2 7.559E-4 0 0 50 3.183E-2 8.632E-2 7.624E-1 6.467E-3 1.137E-2 1.009E-1 8.068E-4 0 0 51 3.171E-2 8.564E-2 7.573E-1 6.576E-3 1.192E-2 1.060E-1 8.927E-4 0 0 52 3.165E-2 8.514E-2 7.525E-1 6.697E-3 1.243E-2 1.106E-1 9.687E-4 0 0 53 3.158E-2 8.457E-2 7.482E-1 6.818E-3 1.289E-2 1.149E-1 1.036E-3 0 0 54 3.158E-2 8.412E-2 7.442E-1 6.946E-3 1.331E-2 1.187E-1 1.100E-3 0 0 55 3.162E-2 8.378E-2 7.403E-1 7.065E-3 1.370E-2 1.224E-1 1.200E-3 0 0 56 3.169E-2 8.346E-2 7.362E-1 7.176E-3 1.409E-2 1.259E-1 1.301E-3 0 2.123E-4 57 3.175E-2 8.305E-2 7.326E-1 7.300E-3 1.444E-2 1.293E-1 1.381E-3 0 2.383E-4 58 3.205E-2 8.335E-2 7.335E-1 7.356E-3 1.432E-2 1.279E-1 1.304E-3 0 1.971E-4 59 3.227E-2 8.328E-2 7.324E-1 7.446E-3 1.441E-2 1.287E-1 1.305E-3 0 1.903E-4 60 3.246E-2 8.288E-2 7.322E-1 7.528E-3 1.443E-2 1.290E-1 1.301E-3 0 1.842E-4 61 3.275E-2 8.280E-2 7.314E-1 7.612E-3 1.449E-2 1.295E-1 1.302E-3 0 1.794E-4 62 3.308E-2 8.293E-2 7.304E-1 7.727E-3 1.453E-2 1.299E-1 1.306E-3 0 1.753E-4 63 3.333E-2 8.261E-2 7.302E-1 7.796E-3 1.454E-2 1.301E-1 1.306E-3 0 1.710E-4 64 3.360E-2 8.259E-2 7.282E-1 7.914E-3 1.469E-2 1.315E-1 1.371E-3 0 1.970E-4 65 3.399E-2 8.263E-2 7.287E-1 7.995E-3 1.461E-2 1.306E-1 1.316E-3 0 1.650E-4 66 3.437E-2 8.256E-2 7.280E-1 8.104E-3 1.463E-2 1.309E-1 1.321E-3 0 1.624E-4 67 3.474E-2 8.259E-2 7.277E-1 8.214E-3 1.466E-2 1.306E-1 1.328E-3 0 1.602E-4 68 3.510E-2 8.238E-2 7.270E-1 8.319E-3 1.464E-2 1.311E-1 1.331E-3 0 1.576E-4 69 3.546E-2 8.250E-2 7.261E-1 8.425E-3 1.469E-2 1.313E-1 1.339E-3 0 1.554E-4 70 3.591E-2 8.226E-2 7.256E-1 8.530E-3 1.469E-2 1.315E-1 1.344E-3 0 1.528E-4 71 3.625E-2 8.222E-2 7.240E-1 8.659E-3 1.480E-2 1.325E-1 1.404E-3 0 1.737E-4 72 3.674E-2 8.201E-2 7.225E-1 8.789E-3 1.490E-2 1.334E-1 1.467E-3 0 1.851E-4 73 3.698E-2 8.156E-2 7.185E-1 8.903E-3 1.497E-2 1.341E-1 1.528E-3 3.231E-3 1.920E-4 74 3.740E-2 8.134E-2 7.155E-1 9.043E-3 1.506E-2 1.351E-1 1.594E-3 4.798E-3 1.971E-4 75 3.776E-2 8.098E-2 7.126E-1 9.163E-3 1.514E-2 1.359E-1 1.657E-3 6.525E-3 2.006E-4 76 3.810E-2 8.073E-2 7.095E-1 9.308E-3 1.522E-2 1.368E-1 1.732E-3 8.427E-3 2.038E-4 77 3.850E-2 8.026E-2 7.058E-1 9.422E-3 1.526E-2 1.373E-1 1.794E-3 1.161E-2 0 78 3.889E-2 7.995E-2 7.032E-1 9.569E-3 1.531E-2 1.379E-1 1.861E-3 1.327E-2 9.227E-5 79 3.933E-2 7.962E-2 6.999E-1 9.717E-3 1.537E-2 1.385E-1 1.924E-3 1.551E-2 9.384E-5 80 3.973E-2 7.937E-2 6.972E-1 9.873E-3 1.542E-2 1.391E-1 1.998E-3 1.712E-2 2.191E-4 81 4.017E-2 7.900E-2 6.945E-1 1.003E-2 1.547E-2 1.397E-1 2.072E-3 1.882E-2 2.725E-4 82 4.068E-2 7.870E-2 6.918E-1 1.018E-2 1.551E-2 1.402E-1 2.151E-3 2.041E-2 3.180E-4 83 4.112E-2 7.852E-2 6.891E-1 1.034E-2 1.556E-2 1.409E-1 2.236E-3 2.191E-2 3.547E-4 84 4.166E-2 7.826E-2 6.867E-1 1.051E-2 1.561E-2 1.413E-1 2.318E-3 2.325E-2 3.890E-4 85 4.216E-2 7.789E-2 6.840E-1 1.068E-2 1.566E-2 1.422E-1 2.409E-3 2.457E-2 4.208E-4 86 4.269E-2 7.765E-2 6.818E-1 1.084E-2 1.570E-2 1.426E-1 2.495E-3 2.582E-2 4.512E-4 87 4.325E-2 7.742E-2 6.791E-1 1.101E-2 1.577E-2 1.433E-1 2.582E-3 2.706E-2 4.937E-4 88 4.373E-2 7.716E-2 6.765E-1 1.121E-2 1.581E-2 1.441E-1 2.667E-3 2.827E-2 5.364E-4 89 4.435E-2 7.685E-2 6.742E-1 1.137E-2 1.585E-2 1.446E-1 2.754E-3 2.945E-2 5.760E-4 90 4.491E-2 7.659E-2 6.719E-1 1.155E-2 1.589E-2 1.451E-1 2.836E-3 3.056E-2 6.150E-4 91 4.552E-2 7.641E-2 6.700E-1 1.173E-2 1.596E-2 1.459E-1 2.904E-3 3.101E-2 6.139E-4 92 4.617E-2 7.616E-2 6.677E-1 1.191E-2 1.600E-2 1.467E-1 2.971E-3 3.176E-2 6.348E-4 93 4.682E-2 7.596E-2 6.659E-1 1.212E-2 1.605E-2 1.470E-1 3.058E-3 3.244E-2 6.588E-4 94 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 95 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 96 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 97 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 98 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 99 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 100 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 101 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 102 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 103 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 104 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 105 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 106 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 107 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 108 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 109 4.747E-2 7.578E-2 6.642E-1 1.230E-2 1.609E-2 1.476E-1 3.141E-3 3.281E-2 6.679E-4 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/0000755000276300001750000000000013205526235017251 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ni.mat0000644000276300001750000001712413136054446020332 0ustar solebliss00000000000000Ni 1 28 1.000000 3 4 9 87 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0081E-03 1.0081E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 8.3328E-03 8.3328E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 5.0525E+00 2.0491E+00 5.3370E+00 5.0473E+00 5.0473E+00 4.7611E+00 4.4471E+00 3.8376E+00 3.2927E+00 2.8187E+00 2.4175E+00 1.8111E+00 1.7331E+00 1.7331E+00 1.4057E+00 8.6007E-01 5.9472E-01 3.3030E-01 2.0819E-01 1.4396E-01 1.0610E-01 6.4829E-02 4.3670E-02 2.0717E-02 1.2026E-02 7.8405E-03 5.5101E-03 4.0813E-03 3.1429E-03 2.4940E-03 2.0265E-03 1.6786E-03 1.4129E-03 1.2056E-03 9.0752E-04 7.9830E-04 7.0766E-04 5.6713E-04 5.1202E-04 4.9027E-04 3.2814E-04 3.0344E-04 2.6170E-04 2.2800E-04 2.0039E-04 1.5836E-04 1.2836E-04 1.2293E-04 1.0617E-04 7.6023E-05 5.7082E-05 3.2117E-05 2.0553E-05 1.4273E-05 1.0487E-05 8.0302E-06 6.3454E-06 5.1397E-06 4.2480E-06 3.5687E-06 3.0413E-06 2.6227E-06 2.2841E-06 2.0081E-06 1.5863E-06 1.2847E-06 1.0620E-06 8.9239E-07 7.6033E-07 6.5557E-07 5.7112E-07 3.2127E-07 2.0563E-07 1.4273E-07 8.0302E-08 5.1397E-08 2.2841E-08 1.2847E-08 5.7102E-09 3.2117E-09 2.0553E-09 1.4273E-09 8.0302E-10 5.1397E-10 2.2841E-10 1.2847E-10 5.7102E-11 3.2117E-11 2.0553E-11 1.4273E-11 8.0302E-12 5.1397E-12 2.2841E-12 1.2847E-12 5.7102E-13 3.2117E-13 2.0553E-13 1.4273E-13 8.0302E-14 5.1397E-14 INCOHERENT SCATTERING CROSS SECTION 7.8116E-03 6.3978E+25 2.2354E-01 7.9101E-03 7.9101E-03 1.3904E-02 1.9598E-02 3.0034E-02 3.9843E-02 4.8955E-02 5.7266E-02 7.1724E-02 7.3858E-02 7.3858E-02 8.3585E-02 1.0415E-01 1.1646E-01 1.2990E-01 1.3565E-01 1.3770E-01 1.3780E-01 1.3575E-01 1.3226E-01 1.2262E-01 1.1390E-01 1.0646E-01 1.0018E-01 9.4825E-02 9.0204E-02 8.6161E-02 8.2590E-02 7.9406E-02 7.6536E-02 7.3929E-02 6.9363E-02 6.7353E-02 6.5494E-02 6.2141E-02 6.0611E-02 5.9965E-02 5.4229E-02 5.3149E-02 5.1136E-02 4.9304E-02 4.7630E-02 4.4664E-02 4.2090E-02 4.1567E-02 3.9837E-02 3.6111E-02 3.3122E-02 2.7633E-02 2.3867E-02 2.1096E-02 1.8962E-02 1.7259E-02 1.5863E-02 1.4694E-02 1.3709E-02 1.2857E-02 1.2108E-02 1.1461E-02 1.0877E-02 1.0364E-02 9.4678E-03 8.7310E-03 8.1092E-03 7.5777E-03 7.1160E-03 6.7127E-03 6.3566E-03 5.0504E-03 4.2162E-03 3.6324E-03 2.8648E-03 2.3775E-03 1.6931E-03 1.3278E-03 9.4103E-04 7.3704E-04 6.1011E-04 5.2238E-04 4.0797E-04 3.3563E-04 2.3436E-04 1.8141E-04 1.2611E-04 9.7366E-05 7.9604E-05 6.7507E-05 5.2013E-05 4.2470E-05 2.9346E-05 2.2564E-05 1.5556E-05 1.1944E-05 9.7274E-06 8.2231E-06 6.3053E-06 5.1294E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 9.8505E+03 3.7130E+06 5.8748E+04 9.6514E+03 1.0989E+04 4.2296E+03 2.0440E+03 7.0564E+02 3.2486E+02 1.7639E+02 1.0651E+02 4.7641E+01 4.2470E+01 3.2753E+02 2.0748E+02 6.9846E+01 3.1491E+01 9.8833E+00 4.2562E+00 2.1928E+00 1.2672E+00 5.2998E-01 2.6802E-01 7.7460E-02 3.2291E-02 1.6556E-02 9.7017E-03 6.2404E-03 4.2993E-03 3.1224E-03 2.3651E-03 1.8534E-03 1.4909E-03 1.2247E-03 8.7551E-04 7.6033E-04 6.7034E-04 5.3139E-04 4.7303E-04 4.4922E-04 3.0372E-04 2.8314E-04 2.4768E-04 2.1887E-04 1.9547E-04 1.6012E-04 1.3483E-04 1.3021E-04 1.1595E-04 8.9923E-05 7.3006E-05 4.9099E-05 3.6714E-05 2.9213E-05 2.4216E-05 2.0655E-05 1.7998E-05 1.5935E-05 1.4293E-05 1.2960E-05 1.1841E-05 1.0907E-05 1.0108E-05 9.4165E-06 8.2826E-06 7.3909E-06 6.6717E-06 6.0796E-06 5.5840E-06 5.1633E-06 4.8011E-06 3.5534E-06 2.8207E-06 2.3374E-06 1.7413E-06 1.3873E-06 9.2020E-07 6.8830E-07 4.5764E-07 3.4271E-07 2.7397E-07 2.2820E-07 1.7105E-07 1.3678E-07 9.1117E-08 6.8317E-08 4.5538E-08 3.4148E-08 2.7315E-08 2.2759E-08 1.7074E-08 1.3657E-08 9.1035E-09 6.8276E-09 4.5517E-09 3.4138E-09 2.7304E-09 2.2759E-09 1.7064E-09 1.3657E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.9799E-05 1.2620E-04 2.4761E-04 4.0233E-04 5.8574E-04 1.0210E-03 1.5176E-03 1.6315E-03 2.0432E-03 3.1220E-03 4.1885E-03 6.6747E-03 8.8675E-03 1.0815E-02 1.2549E-02 1.4109E-02 1.5525E-02 1.6797E-02 1.7967E-02 1.9024E-02 2.0009E-02 2.0922E-02 2.1784E-02 2.2584E-02 2.4052E-02 2.5355E-02 2.6545E-02 2.7622E-02 2.8607E-02 2.9510E-02 3.0342E-02 3.3748E-02 3.6293E-02 3.8294E-02 4.1259E-02 4.3383E-02 4.6780E-02 4.8811E-02 5.1192E-02 5.2556E-02 5.3459E-02 5.4106E-02 5.4958E-02 5.5522E-02 5.6322E-02 5.6763E-02 5.7235E-02 5.7492E-02 5.7656E-02 5.7769E-02 5.7913E-02 5.8005E-02 5.8128E-02 5.8200E-02 5.8272E-02 5.8313E-02 5.8333E-02 5.8344E-02 5.8374E-02 5.8385E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1100E-07 3.2918E-06 1.1595E-05 4.7313E-05 9.4247E-05 1.4468E-04 1.9496E-04 2.4380E-04 2.9049E-04 3.3492E-04 3.7699E-04 4.1670E-04 4.5415E-04 4.8996E-04 5.2372E-04 5.5594E-04 6.1576E-04 6.7024E-04 7.2032E-04 7.6639E-04 8.0897E-04 8.4868E-04 8.8562E-04 1.0394E-03 1.1574E-03 1.2518E-03 1.3945E-03 1.4991E-03 1.6746E-03 1.7854E-03 1.9229E-03 2.0050E-03 2.0624E-03 2.1045E-03 2.1620E-03 2.2010E-03 2.2584E-03 2.2913E-03 2.3272E-03 2.3487E-03 2.3610E-03 2.3703E-03 2.3826E-03 2.3908E-03 2.4011E-03 2.4072E-03 2.4134E-03 2.4164E-03 2.4195E-03 2.4206E-03 2.4216E-03 2.4236E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/KCl.mat0000644000276300001750000001714113136054446020434 0ustar solebliss00000000000000KCl 2 17 19 0.475550 0.524450 3 6 3 91 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.8224E-03 2.8224E-03 3.0000E-03 3.6074E-03 3.6074E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 3.1980E+00 4.2505E+01 3.8263E+00 2.9444E+00 2.6810E+00 2.2703E+00 2.2703E+00 2.1899E+00 1.9372E+00 1.9372E+00 1.7951E+00 1.5005E+00 1.2823E+00 9.8728E-01 7.9115E-01 4.8742E-01 3.2360E-01 1.7351E-01 1.0971E-01 7.5948E-02 5.5648E-02 3.3402E-02 2.2190E-02 1.0365E-02 5.9720E-03 3.8731E-03 2.7109E-03 2.0016E-03 1.5375E-03 1.2178E-03 9.8817E-04 8.1775E-04 6.8783E-04 5.8653E-04 4.4105E-04 3.8782E-04 3.4368E-04 2.7529E-04 2.4848E-04 2.3789E-04 1.5913E-04 1.4715E-04 1.2690E-04 1.1055E-04 9.7176E-05 7.6792E-05 6.2208E-05 5.9558E-05 5.1413E-05 3.6811E-05 2.7651E-05 1.5559E-05 9.9584E-06 6.9155E-06 5.0810E-06 3.8895E-06 3.0736E-06 2.4896E-06 2.0574E-06 1.7291E-06 1.4729E-06 1.2702E-06 1.1065E-06 9.7258E-07 7.6837E-07 6.2240E-07 5.1440E-07 4.3225E-07 3.6827E-07 3.1754E-07 2.7667E-07 1.5560E-07 9.9584E-08 6.9155E-08 3.8895E-08 2.4888E-08 1.1064E-08 6.2232E-09 2.7667E-09 1.5559E-09 9.9584E-10 6.9155E-10 3.8895E-10 2.4888E-10 1.1064E-10 6.2232E-11 2.7667E-11 1.5559E-11 9.9584E-12 6.9155E-12 3.8895E-12 2.4888E-12 1.1064E-12 6.2232E-13 2.7667E-13 1.5559E-13 9.9584E-14 6.9155E-14 3.8895E-14 2.4888E-14 INCOHERENT SCATTERING CROSS SECTION 1.0444E-02 4.3154E-03 4.2344E-03 1.8309E-02 2.6471E-02 3.9405E-02 3.9405E-02 4.2029E-02 5.0438E-02 5.0438E-02 5.5382E-02 6.6400E-02 7.5423E-02 8.9333E-02 9.9915E-02 1.1862E-01 1.3010E-01 1.4101E-01 1.4477E-01 1.4562E-01 1.4498E-01 1.4162E-01 1.3719E-01 1.2601E-01 1.1647E-01 1.0858E-01 1.0200E-01 9.6437E-02 9.1660E-02 8.7499E-02 8.3832E-02 8.0565E-02 7.7628E-02 7.4967E-02 7.0312E-02 6.8258E-02 6.6355E-02 6.2939E-02 6.1400E-02 6.0754E-02 5.4921E-02 5.3825E-02 5.1788E-02 4.9929E-02 4.8220E-02 4.5192E-02 4.2611E-02 4.2094E-02 4.0368E-02 3.6585E-02 3.3531E-02 2.7974E-02 2.4153E-02 2.1350E-02 1.9193E-02 1.7464E-02 1.6056E-02 1.4875E-02 1.3875E-02 1.3013E-02 1.2258E-02 1.1597E-02 1.1011E-02 1.0486E-02 9.5828E-03 8.8372E-03 8.2079E-03 7.6699E-03 7.2030E-03 6.7943E-03 6.4332E-03 5.1125E-03 4.2675E-03 3.6770E-03 2.9000E-03 2.4072E-03 1.7141E-03 1.3438E-03 9.5246E-04 7.4599E-04 6.1755E-04 5.2870E-04 4.1294E-04 3.3976E-04 2.3725E-04 1.8361E-04 1.2768E-04 9.8550E-05 8.0577E-05 6.8323E-05 5.2652E-05 4.2982E-05 2.9702E-05 2.2836E-05 1.5749E-05 1.2091E-05 9.8461E-06 8.3234E-06 6.3823E-06 5.1916E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 3.4711E+03 1.4102E+06 2.1171E+04 1.2054E+03 5.5802E+02 2.1803E+02 9.1191E+02 8.1344E+02 5.1461E+02 1.0747E+03 8.1821E+02 4.5608E+02 2.8006E+02 1.2708E+02 6.7806E+01 2.1002E+01 8.9608E+00 2.6285E+00 1.0846E+00 5.4186E-01 3.0615E-01 1.2371E-01 6.1085E-02 1.6976E-02 6.9066E-03 3.4820E-03 2.0156E-03 1.2846E-03 8.7871E-04 6.3455E-04 4.7861E-04 3.7387E-04 2.9985E-04 2.4553E-04 1.7494E-04 1.5213E-04 1.3455E-04 1.0685E-04 9.4608E-05 8.9519E-05 6.0624E-05 5.6608E-05 4.9575E-05 4.3822E-05 3.9175E-05 3.2194E-05 2.7206E-05 2.6293E-05 2.3470E-05 1.8299E-05 1.4923E-05 1.0123E-05 7.6158E-06 6.0867E-06 5.0632E-06 4.3297E-06 3.7804E-06 3.3539E-06 3.0130E-06 2.7336E-06 2.5025E-06 2.3070E-06 2.1394E-06 1.9942E-06 1.7560E-06 1.5691E-06 1.4173E-06 1.2925E-06 1.1882E-06 1.0991E-06 1.0224E-06 7.5811E-07 6.0229E-07 4.9962E-07 3.7255E-07 2.9694E-07 1.9701E-07 1.4739E-07 9.8049E-08 7.3452E-08 5.8718E-08 4.8903E-08 3.6657E-08 2.9323E-08 1.9535E-08 1.4648E-08 9.7629E-09 7.3218E-09 5.8565E-09 4.8807E-09 3.6601E-09 2.9282E-09 1.9521E-09 1.4636E-09 9.7597E-10 7.3194E-10 5.8548E-10 4.8790E-10 3.6593E-10 2.9282E-10 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 4.5898E-05 7.3654E-05 1.4794E-04 2.4444E-04 3.5985E-04 6.3548E-04 9.5351E-04 1.0273E-03 1.2947E-03 1.9945E-03 2.6875E-03 4.3273E-03 5.7830E-03 7.0835E-03 8.2410E-03 9.2823E-03 1.0226E-02 1.1081E-02 1.1858E-02 1.2569E-02 1.3229E-02 1.3842E-02 1.4415E-02 1.4955E-02 1.5934E-02 1.6820E-02 1.7611E-02 1.8337E-02 1.8999E-02 1.9605E-02 2.0162E-02 2.2489E-02 2.4226E-02 2.5575E-02 2.7570E-02 2.9016E-02 3.1358E-02 3.2796E-02 3.4493E-02 3.5478E-02 3.6132E-02 3.6609E-02 3.7239E-02 3.7651E-02 3.8249E-02 3.8580E-02 3.8927E-02 3.9121E-02 3.9242E-02 3.9323E-02 3.9444E-02 3.9509E-02 3.9606E-02 3.9662E-02 3.9719E-02 3.9743E-02 3.9759E-02 3.9775E-02 3.9792E-02 3.9792E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.1220E-07 3.3295E-06 1.1733E-05 4.7910E-05 9.5448E-05 1.4657E-04 1.9758E-04 2.4710E-04 2.9452E-04 3.3967E-04 3.8257E-04 4.2296E-04 4.6117E-04 4.9760E-04 5.3209E-04 5.6497E-04 6.2612E-04 6.8193E-04 7.3323E-04 7.8057E-04 8.2443E-04 8.6522E-04 9.0327E-04 1.0626E-03 1.1853E-03 1.2838E-03 1.4345E-03 1.5468E-03 1.7359E-03 1.8579E-03 2.0122E-03 2.1051E-03 2.1705E-03 2.2190E-03 2.2860E-03 2.3305E-03 2.3991E-03 2.4379E-03 2.4807E-03 2.5066E-03 2.5219E-03 2.5324E-03 2.5470E-03 2.5558E-03 2.5696E-03 2.5768E-03 2.5841E-03 2.5882E-03 2.5914E-03 2.5930E-03 2.5946E-03 2.5962E-03PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Li.mat0000644000276300001750000001642013136054446020326 0ustar solebliss00000000000000Li 1 3 1.000000 1 96 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 4.1073E-01 8.9458E+00 5.8355E-01 3.4193E-01 2.9204E-01 2.3157E-01 1.9357E-01 1.6389E-01 1.3899E-01 1.0090E-01 7.4849E-02 4.0136E-02 2.4736E-02 1.1990E-02 7.0060E-03 4.5723E-03 3.2111E-03 1.8272E-03 1.1765E-03 5.2569E-04 2.9629E-04 1.8981E-04 1.3188E-04 9.6912E-05 7.4207E-05 5.8638E-05 4.7502E-05 3.9263E-05 3.2996E-05 2.8117E-05 2.1119E-05 1.8558E-05 1.6435E-05 1.3156E-05 1.1878E-05 1.1374E-05 7.6038E-06 7.0299E-06 6.0617E-06 5.2803E-06 4.6399E-06 3.6647E-06 2.9699E-06 2.8441E-06 2.4563E-06 1.7581E-06 1.3196E-06 7.4259E-07 4.7528E-07 3.3004E-07 2.4250E-07 1.8567E-07 1.4671E-07 1.1878E-07 9.8214E-08 8.2510E-08 7.0303E-08 6.0620E-08 5.2803E-08 4.6409E-08 3.6674E-08 2.9707E-08 2.4545E-08 2.0623E-08 1.7578E-08 1.5157E-08 1.3205E-08 7.4251E-09 4.7519E-09 3.3004E-09 1.8558E-09 1.1878E-09 5.2786E-10 2.9690E-10 1.3196E-10 7.4233E-11 4.7511E-11 3.2996E-11 1.8558E-11 1.1878E-11 5.2786E-12 2.9690E-12 1.3196E-12 7.4233E-13 4.7511E-13 3.2996E-13 1.8558E-13 1.1878E-13 5.2786E-14 2.9690E-14 1.3196E-14 7.4233E-15 4.7511E-15 3.2996E-15 1.8558E-15 1.1878E-15 INCOHERENT SCATTERING CROSS SECTION 3.0792E-02 1.9344E+00 1.7614E-02 4.5749E-02 5.5337E-02 6.9149E-02 8.1218E-02 9.2228E-02 1.0212E-01 1.1774E-01 1.2867E-01 1.4264E-01 1.4767E-01 1.4906E-01 1.4680E-01 1.4368E-01 1.4029E-01 1.3361E-01 1.2763E-01 1.1522E-01 1.0568E-01 9.8129E-02 9.1968E-02 8.6810E-02 8.2415E-02 7.8613E-02 7.5275E-02 7.2306E-02 6.9644E-02 6.7239E-02 6.3044E-02 6.1193E-02 5.9478E-02 5.6401E-02 5.5016E-02 5.4434E-02 4.9194E-02 4.8209E-02 4.6382E-02 4.4717E-02 4.3190E-02 4.0483E-02 3.8158E-02 3.7689E-02 3.6132E-02 3.2745E-02 3.0020E-02 2.5039E-02 2.1621E-02 1.9114E-02 1.7179E-02 1.5634E-02 1.4368E-02 1.3318E-02 1.2416E-02 1.1643E-02 1.0975E-02 1.0377E-02 9.8561E-03 9.3876E-03 8.5781E-03 7.9101E-03 7.3470E-03 6.8655E-03 6.4464E-03 6.0811E-03 5.7584E-03 4.5758E-03 3.8201E-03 3.2909E-03 2.5959E-03 2.1543E-03 1.5339E-03 1.2025E-03 8.5252E-04 6.6772E-04 5.5267E-04 4.7320E-04 3.6961E-04 3.0410E-04 2.1239E-04 1.6433E-04 1.1427E-04 8.8237E-05 7.2125E-05 6.1158E-05 4.7120E-05 3.8470E-05 2.6584E-05 2.0441E-05 1.4099E-05 1.0819E-05 8.8150E-06 7.4494E-06 5.7124E-06 4.6470E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.3339E+02 7.6356E+05 2.0422E+03 6.6295E+01 2.6723E+01 7.2481E+00 2.8397E+00 1.3630E+00 7.4650E-01 2.8675E-01 1.3604E-01 3.4783E-02 1.3153E-02 3.3325E-03 1.2537E-03 5.8738E-04 3.1625E-04 1.1912E-04 5.6083E-05 1.4455E-05 5.6230E-06 2.7497E-06 1.5582E-06 9.7827E-07 6.6069E-07 4.7181E-07 3.5407E-07 2.7662E-07 2.1977E-07 1.7568E-07 1.2304E-07 1.1071E-07 1.0410E-07 8.5487E-08 6.8880E-08 6.1063E-08 4.1542E-08 3.9581E-08 3.4712E-08 3.0245E-08 2.6914E-08 2.2392E-08 1.9192E-08 1.8576E-08 1.6663E-08 1.3155E-08 1.0845E-08 7.4988E-09 5.7141E-09 4.6097E-09 3.8609E-09 3.3195E-09 2.9109E-09 2.5916E-09 2.3348E-09 2.1239E-09 1.9487E-09 1.7994E-09 1.6719E-09 1.5608E-09 1.3778E-09 1.2329E-09 1.1158E-09 1.0195E-09 9.3790E-10 8.6849E-10 8.0853E-10 6.0135E-10 4.7866E-10 3.9754E-10 2.9690E-10 2.3686E-10 1.5739E-10 1.1782E-10 7.8424E-11 5.8772E-11 4.6990E-11 3.9147E-11 2.9352E-11 2.3469E-11 1.5643E-11 1.1730E-11 7.8190E-12 5.8634E-12 4.6903E-12 3.9086E-12 2.9317E-12 2.3452E-12 1.5634E-12 1.1722E-12 7.8164E-13 5.8625E-13 4.6895E-13 3.9078E-13 2.9308E-13 2.3452E-13 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.1184E-06 9.9547E-06 2.0438E-05 3.4297E-05 5.1015E-05 9.1082E-05 1.3734E-04 1.4810E-04 1.8722E-04 2.9075E-04 3.9433E-04 6.4056E-04 8.6016E-04 1.0576E-03 1.2338E-03 1.3934E-03 1.5374E-03 1.6693E-03 1.7890E-03 1.8992E-03 2.0025E-03 2.0979E-03 2.1873E-03 2.2723E-03 2.4276E-03 2.5673E-03 2.6948E-03 2.8111E-03 2.9187E-03 3.0176E-03 3.1104E-03 3.4913E-03 3.7785E-03 4.0093E-03 4.3633E-03 4.6166E-03 5.0331E-03 5.2925E-03 5.6092E-03 5.7983E-03 5.9267E-03 6.0195E-03 6.1471E-03 6.2312E-03 6.3544E-03 6.4238E-03 6.4993E-03 6.5401E-03 6.5661E-03 6.5852E-03 6.6086E-03 6.6243E-03 6.6451E-03 6.6572E-03 6.6694E-03 6.6755E-03 6.6798E-03 6.6824E-03 6.6859E-03 6.6876E-03 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0036E-07 2.9786E-06 1.0498E-05 4.2878E-05 8.5443E-05 1.3127E-04 1.7691E-04 2.2133E-04 2.6393E-04 3.0445E-04 3.4297E-04 3.7941E-04 4.1377E-04 4.4665E-04 4.7788E-04 5.0773E-04 5.6317E-04 6.1401E-04 6.6095E-04 7.0433E-04 7.4476E-04 7.8250E-04 8.1790E-04 9.6739E-04 1.0845E-03 1.1808E-03 1.3301E-03 1.4437E-03 1.6415E-03 1.7717E-03 1.9417E-03 2.0502E-03 2.1283E-03 2.1873E-03 2.2723E-03 2.3313E-03 2.4233E-03 2.4779E-03 2.5404E-03 2.5768E-03 2.6003E-03 2.6167E-03 2.6393E-03 2.6532E-03 2.6740E-03 2.6853E-03 2.6966E-03 2.7035E-03 2.7078E-03 2.7113E-03 2.7139E-03 2.7165E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Al.mat0000644000276300001750000001666213136054446020326 0ustar solebliss00000000000000Aluminum 1 13 1.000000 2 5 93 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 1.5596E-03 1.5596E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 2.2565E+00 4.1540E+01 2.7999E+00 2.0400E+00 2.0146E+00 2.0146E+00 1.8382E+00 1.5226E+00 1.2954E+00 1.1155E+00 9.6375E-01 7.2293E-01 5.5129E-01 3.1359E-01 2.0458E-01 1.0954E-01 6.8588E-02 4.6782E-02 3.3859E-02 2.0047E-02 1.3235E-02 6.1222E-03 3.5042E-03 2.2630E-03 2.2630E-03 1.5798E-03 8.9345E-04 7.0690E-04 5.7316E-04 4.7408E-04 3.9863E-04 3.3983E-04 2.5541E-04 2.2453E-04 1.9893E-04 1.5931E-04 1.4380E-04 1.3769E-04 9.2068E-05 8.5122E-05 7.3397E-05 6.3945E-05 5.6216E-05 4.4435E-05 3.5979E-05 3.4439E-05 2.9715E-05 2.1281E-05 1.5994E-05 8.9970E-06 5.7584E-06 3.9996E-06 2.9372E-06 2.2498E-06 1.7773E-06 1.4396E-06 1.1899E-06 9.9969E-07 8.5193E-07 7.3453E-07 6.3990E-07 5.6245E-07 4.4438E-07 3.6001E-07 2.9752E-07 2.4998E-07 2.1295E-07 1.8362E-07 1.5996E-07 8.9970E-08 5.7584E-08 3.9996E-08 2.2498E-08 1.4394E-08 6.3968E-09 3.5979E-09 1.5994E-09 8.9970E-10 5.7584E-10 3.9974E-10 2.2498E-10 1.4394E-10 6.3968E-11 3.5979E-11 1.5994E-11 8.9970E-12 5.7584E-12 3.9974E-12 2.2498E-12 1.4394E-12 6.3968E-13 3.5979E-13 1.5994E-13 8.9970E-14 5.7584E-14 3.9974E-14 2.2498E-14 1.4394E-14 INCOHERENT SCATTERING CROSS SECTION 1.4271E-02 2.3109E-01 6.2020E-03 2.4775E-02 2.5935E-02 2.5935E-02 3.3747E-02 4.7317E-02 5.8098E-02 6.7874E-02 7.6958E-02 9.2916E-02 1.0579E-01 1.2651E-01 1.3709E-01 1.4644E-01 1.4943E-01 1.4959E-01 1.4831E-01 1.4389E-01 1.3878E-01 1.2673E-01 1.1680E-01 1.0873E-01 1.0873E-01 1.0207E-01 9.1621E-02 8.7427E-02 8.3743E-02 8.0475E-02 7.7538E-02 7.4870E-02 7.0199E-02 6.8141E-02 6.6240E-02 6.2829E-02 6.1289E-02 6.0642E-02 5.4817E-02 5.3719E-02 5.1679E-02 4.9817E-02 4.8107E-02 4.5086E-02 4.2519E-02 4.2005E-02 4.0289E-02 3.6513E-02 3.3457E-02 2.7899E-02 2.4105E-02 2.1304E-02 1.9148E-02 1.7427E-02 1.6021E-02 1.4842E-02 1.3845E-02 1.2983E-02 1.2231E-02 1.1573E-02 1.0986E-02 1.0461E-02 9.5617E-03 8.8184E-03 8.1890E-03 7.6533E-03 7.1869E-03 6.7784E-03 6.4191E-03 5.1000E-03 4.2586E-03 3.6693E-03 2.8926E-03 2.4016E-03 1.7101E-03 1.3410E-03 9.5036E-04 7.4435E-04 6.1624E-04 5.2763E-04 4.1202E-04 3.3903E-04 2.3681E-04 1.8322E-04 1.2740E-04 9.8340E-05 8.0395E-05 6.8186E-05 5.2518E-05 4.2876E-05 2.9640E-05 2.2788E-05 1.5715E-05 1.2064E-05 9.8250E-06 8.3051E-06 6.3677E-06 5.1803E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 1.1829E+03 5.5788E+05 7.5470E+03 4.0019E+02 3.6001E+02 3.9550E+03 2.2610E+03 7.8654E+02 3.5912E+02 1.9222E+02 1.1425E+02 4.9505E+01 2.5556E+01 7.5150E+00 3.1002E+00 8.7225E-01 3.5042E-01 1.7177E-01 9.5639E-02 3.7832E-02 1.8402E-02 4.9929E-03 2.0021E-03 9.9932E-04 9.9932E-04 5.7428E-04 2.4797E-04 1.7851E-04 1.3439E-04 1.0489E-04 8.4010E-05 6.8631E-05 4.8791E-05 4.2519E-05 3.7762E-05 3.0052E-05 2.6426E-05 2.4886E-05 1.6878E-05 1.5787E-05 1.3834E-05 1.2222E-05 1.0930E-05 9.0062E-06 7.6333E-06 7.3810E-06 6.5994E-06 5.1632E-06 4.2228E-06 2.8814E-06 2.1753E-06 1.7436E-06 1.4532E-06 1.2448E-06 1.0883E-06 9.6643E-07 8.6912E-07 7.8944E-07 7.2293E-07 6.6691E-07 6.1870E-07 5.7718E-07 5.0866E-07 4.5465E-07 4.1090E-07 3.7497E-07 3.4461E-07 3.1895E-07 2.9685E-07 2.2029E-07 1.7512E-07 1.4532E-07 1.0841E-07 8.6443E-08 5.7383E-08 4.2943E-08 2.8569E-08 2.1404E-08 1.7112E-08 1.4253E-08 1.0684E-08 8.5439E-09 5.6937E-09 4.2697E-09 2.8457E-09 2.1342E-09 1.7072E-09 1.4226E-09 1.0669E-09 8.5350E-10 5.6892E-10 4.2675E-10 2.8457E-10 2.1335E-10 1.7068E-10 1.4224E-10 1.0666E-10 8.5327E-11 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 3.1337E-05 5.0597E-05 1.0263E-04 1.7079E-04 2.5267E-04 4.4866E-04 6.7472E-04 7.2717E-04 9.1748E-04 1.4189E-03 1.9184E-03 3.1024E-03 4.1537E-03 5.0978E-03 5.9370E-03 6.6936E-03 7.3766E-03 7.9993E-03 8.5640E-03 9.0818E-03 9.5617E-03 1.0008E-02 1.0428E-02 1.0818E-02 1.1537E-02 1.2180E-02 1.2760E-02 1.3289E-02 1.3773E-02 1.4220E-02 1.4633E-02 1.6340E-02 1.7612E-02 1.8619E-02 2.0130E-02 2.1210E-02 2.2944E-02 2.4016E-02 2.5266E-02 2.6002E-02 2.6493E-02 2.6828E-02 2.7297E-02 2.7609E-02 2.8056E-02 2.8301E-02 2.8569E-02 2.8725E-02 2.8814E-02 2.8881E-02 2.8948E-02 2.9015E-02 2.9082E-02 2.9127E-02 2.9149E-02 2.9172E-02 2.9194E-02 2.9194E-02 2.9216E-02 2.9216E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.1192E-07 3.3215E-06 1.1707E-05 4.7808E-05 9.5237E-05 1.4628E-04 1.9721E-04 2.4663E-04 2.9417E-04 3.3926E-04 3.8211E-04 4.2251E-04 4.6090E-04 4.9728E-04 5.3187E-04 5.6491E-04 6.2628E-04 6.8231E-04 7.3386E-04 7.8140E-04 8.2560E-04 8.6667E-04 9.0528E-04 1.0664E-03 1.1912E-03 1.2919E-03 1.4461E-03 1.5608E-03 1.7552E-03 1.8806E-03 2.0387E-03 2.1364E-03 2.2047E-03 2.2565E-03 2.3279E-03 2.3748E-03 2.4484E-03 2.4909E-03 2.5377E-03 2.5645E-03 2.5824E-03 2.5935E-03 2.6091E-03 2.6203E-03 2.6337E-03 2.6426E-03 2.6516E-03 2.6560E-03 2.6582E-03 2.6605E-03 2.6627E-03 2.6649E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Rb.mat0000644000276300001750000001774013136054446020333 0ustar solebliss00000000000000Rb 1 37 1.000000 5 5 3 3 9 85 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 1.8044E-03 1.8044E-03 1.8339E-03 1.8639E-03 1.8639E-03 2.0000E-03 2.0651E-03 2.0651E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.5200E-02 1.5200E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 5.9955E+00 2.7800E+01 6.7813E+00 5.6517E+00 5.4389E+00 5.4389E+00 5.4172E+00 5.3952E+00 5.3952E+00 5.2958E+00 5.2486E+00 5.2486E+00 4.5990E+00 3.9853E+00 3.4808E+00 3.0686E+00 2.4309E+00 1.9539E+00 1.2021E+00 1.1816E+00 1.1816E+00 8.1735E-01 4.6300E-01 2.9791E-01 2.0645E-01 1.5170E-01 9.2515E-02 6.2605E-02 3.0101E-02 1.7573E-02 1.1492E-02 8.0960E-03 6.0093E-03 4.6356E-03 3.6832E-03 2.9960E-03 2.4841E-03 2.0927E-03 1.7868E-03 1.3466E-03 1.1852E-03 1.0512E-03 8.4295E-04 7.6098E-04 7.2856E-04 4.8794E-04 4.5129E-04 3.8929E-04 3.3920E-04 2.9817E-04 2.3567E-04 1.9102E-04 1.8292E-04 1.5797E-04 1.1314E-04 8.4976E-05 4.7815E-05 3.0608E-05 2.1258E-05 1.5614E-05 1.1957E-05 9.4488E-06 7.6521E-06 6.3246E-06 5.3142E-06 4.5285E-06 3.9042E-06 3.4011E-06 2.9897E-06 2.3618E-06 1.9130E-06 1.5811E-06 1.3289E-06 1.1323E-06 9.7588E-07 8.5046E-07 4.7829E-07 3.0615E-07 2.1258E-07 1.1957E-07 7.6521E-08 3.4011E-08 1.9130E-08 8.5046E-09 4.7829E-09 3.0608E-09 2.1258E-09 1.1957E-09 7.6521E-10 3.4011E-10 1.9130E-10 8.5046E-11 4.7829E-11 3.0608E-11 2.1258E-11 1.1957E-11 7.6521E-12 3.4011E-12 1.9130E-12 8.5046E-13 4.7829E-13 3.0608E-13 2.1258E-13 1.1957E-13 7.6521E-14 INCOHERENT SCATTERING CROSS SECTION 6.9651E-03 1.0702E-03 3.0127E-03 1.1492E-02 1.4325E-02 1.4325E-02 1.4601E-02 1.4881E-02 1.4881E-02 1.6143E-02 1.6749E-02 1.6749E-02 2.5232E-02 3.3603E-02 4.1114E-02 4.7702E-02 5.8694E-02 6.7748E-02 8.5046E-02 8.5610E-02 8.5610E-02 9.6813E-02 1.1041E-01 1.1697E-01 1.1999E-01 1.2105E-01 1.2014E-01 1.1760E-01 1.0971E-01 1.0231E-01 9.5909E-02 9.0401E-02 8.5641E-02 8.1523E-02 7.7939E-02 7.4759E-02 7.1895E-02 6.9305E-02 6.6957E-02 6.2848E-02 6.1033E-02 5.9350E-02 5.6318E-02 5.4945E-02 5.4368E-02 4.9168E-02 4.8190E-02 4.6373E-02 4.4714E-02 4.3191E-02 4.0489E-02 3.8176E-02 3.7711E-02 3.6162E-02 3.2780E-02 3.0052E-02 2.5070E-02 2.1653E-02 1.9137E-02 1.7200E-02 1.5656E-02 1.4395E-02 1.3338E-02 1.2436E-02 1.1668E-02 1.0992E-02 1.0393E-02 9.8716E-03 9.3995E-03 8.5892E-03 7.9198E-03 7.3561E-03 6.8763E-03 6.4570E-03 6.0906E-03 5.7672E-03 4.5835E-03 3.8260E-03 3.2962E-03 2.5993E-03 2.1575E-03 1.5368E-03 1.2049E-03 8.5399E-04 6.6874E-04 5.5361E-04 4.7399E-04 3.7020E-04 3.0453E-04 2.1272E-04 1.6460E-04 1.1443E-04 8.8358E-05 7.2222E-05 6.1259E-05 4.7195E-05 3.8535E-05 2.6627E-05 2.0476E-05 1.4120E-05 1.0837E-05 8.8287E-06 7.4618E-06 5.7214E-06 4.6546E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 3.1679E+03 7.3615E+05 1.6332E+04 1.2133E+03 7.7296E+02 3.0904E+03 2.9707E+03 2.8558E+03 3.9522E+03 3.4047E+03 3.1482E+03 3.6013E+03 1.4134E+03 6.7079E+02 3.7091E+02 2.2688E+02 1.0330E+02 5.5643E+01 1.7805E+01 1.7150E+01 1.1957E+02 5.8884E+01 1.9511E+01 8.6949E+00 4.5919E+00 2.7057E+00 1.1626E+00 5.9976E-01 1.7897E-01 7.6168E-02 3.9598E-02 2.3442E-02 1.5202E-02 1.0541E-02 7.6934E-03 5.8497E-03 4.5973E-03 3.7077E-03 3.0532E-03 2.1892E-03 1.9010E-03 1.6743E-03 1.3267E-03 1.1837E-03 1.1260E-03 7.6027E-04 7.0810E-04 6.1882E-04 5.4642E-04 4.8747E-04 3.9827E-04 3.3469E-04 3.2313E-04 2.8740E-04 2.2208E-04 1.7968E-04 1.2007E-04 8.9344E-05 7.0884E-05 5.8581E-05 4.9865E-05 4.3369E-05 3.8345E-05 3.4357E-05 3.1108E-05 2.8417E-05 2.6148E-05 2.4210E-05 2.2540E-05 1.9807E-05 1.7657E-05 1.5931E-05 1.4508E-05 1.3317E-05 1.2310E-05 1.1443E-05 8.4553E-06 6.7072E-06 5.5565E-06 4.1368E-06 3.2948E-06 2.1836E-06 1.6326E-06 1.0851E-06 8.1241E-07 6.4951E-07 5.4093E-07 4.0536E-07 3.2419E-07 2.1596E-07 1.6192E-07 1.0795E-07 8.0960E-08 6.4739E-08 5.3945E-08 4.0459E-08 3.2363E-08 2.1575E-08 1.6178E-08 1.0788E-08 8.0889E-09 6.4718E-09 5.3931E-09 4.0445E-09 3.2356E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0851E-04 1.7006E-04 3.2849E-04 5.2698E-04 7.5927E-04 1.3023E-03 1.9109E-03 2.0490E-03 2.5469E-03 3.8480E-03 5.1281E-03 8.0678E-03 1.0647E-02 1.2908E-02 1.4924E-02 1.6734E-02 1.8383E-02 1.9884E-02 2.1258E-02 2.2512E-02 2.3668E-02 2.4739E-02 2.5732E-02 2.6669E-02 2.8375E-02 2.9911E-02 3.1299E-02 3.2560E-02 3.3716E-02 3.4772E-02 3.5745E-02 3.9712E-02 4.2657E-02 4.4954E-02 4.8350E-02 5.0760E-02 5.4593E-02 5.6883E-02 5.9554E-02 6.1090E-02 6.2097E-02 6.2823E-02 6.3781E-02 6.4408E-02 6.5310E-02 6.5803E-02 6.6332E-02 6.6621E-02 6.6797E-02 6.6924E-02 6.7086E-02 6.7192E-02 6.7339E-02 6.7410E-02 6.7494E-02 6.7537E-02 6.7565E-02 6.7579E-02 6.7607E-02 6.7621E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0058E-07 2.9839E-06 1.0513E-05 4.2911E-05 8.5469E-05 1.3113E-04 1.7672E-04 2.2082E-04 2.6303E-04 3.0319E-04 3.4124E-04 3.7711E-04 4.1093E-04 4.4313E-04 4.7364E-04 5.0260E-04 5.5636E-04 6.0533E-04 6.5021E-04 6.9150E-04 7.2997E-04 7.6520E-04 7.9832E-04 9.3502E-04 1.0386E-03 1.1217E-03 1.2465E-03 1.3381E-03 1.4895E-03 1.5854E-03 1.7030E-03 1.7735E-03 1.8221E-03 1.8581E-03 1.9074E-03 1.9405E-03 1.9898E-03 2.0180E-03 2.0490E-03 2.0673E-03 2.0786E-03 2.0863E-03 2.0969E-03 2.1033E-03 2.1124E-03 2.1181E-03 2.1230E-03 2.1265E-03 2.1279E-03 2.1293E-03 2.1307E-03 2.1314E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Pr.mat0000644000276300001750000002100213136054446020333 0ustar solebliss00000000000000Pr 1 59 1.000000 8 4 3 3 6 3 3 8 82 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.2422E-03 1.2422E-03 1.2889E-03 1.3374E-03 1.3374E-03 1.5000E-03 1.5110E-03 1.5110E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 5.9643E-03 5.9643E-03 6.0000E-03 6.4404E-03 6.4404E-03 6.6347E-03 6.8348E-03 6.8348E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 4.1991E-02 4.1991E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 9.2827E+00 2.0055E+01 1.0244E+01 9.0349E+00 9.0349E+00 8.9914E+00 8.9451E+00 8.9451E+00 8.7699E+00 8.7571E+00 8.7571E+00 8.2485E+00 7.2441E+00 6.3381E+00 5.5688E+00 4.9491E+00 4.9491E+00 4.9277E+00 4.6798E+00 4.6798E+00 4.5752E+00 4.4704E+00 4.4704E+00 3.9315E+00 3.2024E+00 2.0942E+00 1.5044E+00 8.7400E-01 5.6885E-01 5.2824E-01 5.2824E-01 4.0413E-01 3.0336E-01 1.8835E-01 1.2787E-01 6.2269E-02 3.6964E-02 2.4445E-02 1.7343E-02 1.2936E-02 1.0014E-02 7.9775E-03 6.5048E-03 5.4064E-03 4.5644E-03 3.9042E-03 2.9497E-03 2.5985E-03 2.3064E-03 1.8525E-03 1.6741E-03 1.6035E-03 1.0766E-03 9.9594E-04 8.5948E-04 7.4920E-04 6.5888E-04 5.2122E-04 4.2268E-04 4.0477E-04 3.4965E-04 2.5055E-04 1.8826E-04 1.0599E-04 6.7868E-05 4.7140E-05 3.4626E-05 2.6515E-05 2.0950E-05 1.6971E-05 1.4027E-05 1.1787E-05 1.0043E-05 8.6588E-06 7.5433E-06 6.6287E-06 5.2397E-06 4.2430E-06 3.5067E-06 2.9468E-06 2.5109E-06 2.1647E-06 1.8860E-06 1.0608E-06 6.7868E-07 4.7140E-07 2.6519E-07 1.6971E-07 7.5433E-08 4.2430E-08 1.8860E-08 1.0608E-08 6.7911E-09 4.7140E-09 2.6519E-09 1.6971E-09 7.5433E-10 4.2430E-10 1.8860E-10 1.0608E-10 6.7911E-11 4.7140E-11 2.6519E-11 1.6971E-11 7.5433E-12 4.2430E-12 1.8860E-12 1.0608E-12 6.7911E-13 4.7140E-13 2.6519E-13 1.6971E-13 INCOHERENT SCATTERING CROSS SECTION 6.5347E-03 1.2737E+03 4.0470E-03 8.5305E-03 8.5305E-03 8.8818E-03 9.2485E-03 9.2485E-03 1.0552E-02 1.0638E-02 1.0638E-02 1.4471E-02 2.2027E-02 2.9002E-02 3.5293E-02 4.0644E-02 4.0644E-02 4.0832E-02 4.3080E-02 4.3080E-02 4.4039E-02 4.5003E-02 4.5003E-02 5.0175E-02 5.8038E-02 7.3595E-02 8.4493E-02 9.7358E-02 1.0411E-01 1.0501E-01 1.0501E-01 1.0774E-01 1.0962E-01 1.1039E-01 1.0911E-01 1.0313E-01 9.6802E-02 9.1140E-02 8.6203E-02 8.1900E-02 7.8125E-02 7.4785E-02 7.1800E-02 6.9111E-02 6.6672E-02 6.4447E-02 6.0537E-02 5.8808E-02 5.7205E-02 5.4312E-02 5.2995E-02 5.2440E-02 4.7482E-02 4.6547E-02 4.4803E-02 4.3208E-02 4.1742E-02 3.9136E-02 3.6892E-02 3.6439E-02 3.4935E-02 3.1674E-02 2.9049E-02 2.4241E-02 2.0937E-02 1.8506E-02 1.6634E-02 1.5142E-02 1.3920E-02 1.2898E-02 1.2031E-02 1.1283E-02 1.0629E-02 1.0056E-02 9.5477E-03 9.0904E-03 8.3083E-03 7.6630E-03 7.1159E-03 6.6501E-03 6.2440E-03 5.8893E-03 5.5773E-03 4.4319E-03 3.7003E-03 3.1883E-03 2.5143E-03 2.0869E-03 1.4860E-03 1.1655E-03 8.2570E-04 6.4663E-04 5.3551E-04 4.5858E-04 3.5806E-04 2.9459E-04 2.0574E-04 1.5924E-04 1.1069E-04 8.5476E-05 6.9877E-05 5.9235E-05 4.5644E-05 3.7268E-05 2.5758E-05 1.9801E-05 1.3655E-05 1.0484E-05 8.5391E-06 7.2185E-06 5.5346E-06 4.5003E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 1.0573E+04 2.7224E+06 5.6228E+04 6.2697E+03 7.2142E+03 6.6522E+03 6.1329E+03 6.5048E+03 5.0816E+03 5.0004E+03 5.2269E+03 2.7596E+03 1.0394E+03 5.0687E+02 2.8686E+02 1.8181E+02 5.1200E+02 5.0944E+02 4.2627E+02 5.8081E+02 5.3980E+02 5.0132E+02 5.7910E+02 3.9101E+02 2.1762E+02 7.3809E+01 3.3673E+01 1.0950E+01 4.8850E+00 4.2584E+00 2.4545E+01 1.5475E+01 9.5648E+00 4.3636E+00 2.3510E+00 7.5262E-01 3.3490E-01 1.7984E-01 1.0911E-01 7.2114E-02 5.0773E-02 3.7524E-02 2.8814E-02 2.2819E-02 1.8531E-02 1.5367E-02 1.1110E-02 9.6417E-03 8.4613E-03 6.6993E-03 6.0304E-03 5.7697E-03 3.8905E-03 3.6140E-03 3.1517E-03 2.7814E-03 2.4790E-03 2.0190E-03 1.6899E-03 1.6300E-03 1.4454E-03 1.1096E-03 8.9280E-04 5.8979E-04 4.3507E-04 3.4280E-04 2.8190E-04 2.3895E-04 2.0711E-04 1.8258E-04 1.6317E-04 1.4745E-04 1.3445E-04 1.2351E-04 1.1424E-04 1.0620E-04 9.3126E-05 8.2912E-05 7.4664E-05 6.7911E-05 6.2312E-05 5.7526E-05 5.3423E-05 3.9379E-05 3.1173E-05 2.5797E-05 1.9177E-05 1.5258E-05 1.0099E-05 7.5476E-06 5.0132E-06 3.7528E-06 2.9989E-06 2.4976E-06 1.8715E-06 1.4963E-06 9.9665E-07 7.4749E-07 4.9790E-07 3.7345E-07 2.9874E-07 2.4891E-07 1.8668E-07 1.4933E-07 9.9537E-08 7.4664E-08 4.9790E-08 3.7328E-08 2.9861E-08 2.4882E-08 1.8664E-08 1.4928E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.2673E-04 3.5202E-04 6.6683E-04 1.0475E-03 1.4756E-03 2.4235E-03 3.4387E-03 3.6665E-03 4.4747E-03 6.5070E-03 8.4365E-03 1.2766E-02 1.6480E-02 1.9677E-02 2.2510E-02 2.5053E-02 2.7365E-02 2.9489E-02 3.1447E-02 3.3259E-02 3.4951E-02 3.6515E-02 3.7969E-02 3.9315E-02 4.1755E-02 4.3935E-02 4.5944E-02 4.7739E-02 4.9363E-02 5.0858E-02 5.2269E-02 5.7910E-02 6.2099E-02 6.5347E-02 7.0176E-02 7.3552E-02 7.8980E-02 8.2228E-02 8.6032E-02 8.8212E-02 8.9622E-02 9.0648E-02 9.2015E-02 9.2913E-02 9.4195E-02 9.4879E-02 9.5648E-02 9.6075E-02 9.6332E-02 9.6503E-02 9.6716E-02 9.6887E-02 9.7058E-02 9.7187E-02 9.7315E-02 9.7358E-02 9.7400E-02 9.7443E-02 9.7443E-02 9.7486E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.7353E-08 2.8855E-06 1.0159E-05 4.1418E-05 8.2442E-05 1.2642E-04 1.7023E-04 2.1262E-04 2.5310E-04 2.9156E-04 3.2793E-04 3.6216E-04 3.9439E-04 4.2507E-04 4.5388E-04 4.8166E-04 5.3252E-04 5.7910E-04 6.2141E-04 6.6030E-04 6.9620E-04 7.2911E-04 7.6031E-04 8.8767E-04 9.8426E-04 1.0608E-03 1.1757E-03 1.2591E-03 1.3971E-03 1.4834E-03 1.5894E-03 1.6531E-03 1.6967E-03 1.7288E-03 1.7728E-03 1.8023E-03 1.8467E-03 1.8719E-03 1.8997E-03 1.9160E-03 1.9258E-03 1.9330E-03 1.9424E-03 1.9484E-03 1.9566E-03 1.9613E-03 1.9660E-03 1.9689E-03 1.9707E-03 1.9715E-03 1.9728E-03 1.9736E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/V.mat0000644000276300001750000001666213136054446020177 0ustar solebliss00000000000000Vanadium 1 23 1.000000 2 9 89 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 5.4651E-03 5.4651E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 3.8219E+00 3.7370E+01 4.5411E+00 3.5240E+00 3.2297E+00 2.7060E+00 2.2698E+00 1.9116E+00 1.7697E+00 1.7697E+00 1.6243E+00 1.2176E+00 9.6063E-01 6.0882E-01 4.1896E-01 2.2780E-01 1.4387E-01 9.9929E-02 7.3720E-02 4.4840E-02 3.0015E-02 1.4139E-02 8.1794E-03 5.3222E-03 5.3222E-03 3.7345E-03 2.1244E-03 1.6843E-03 1.3678E-03 1.1324E-03 9.5271E-04 8.1260E-04 6.1132E-04 5.3765E-04 4.7655E-04 3.8186E-04 3.4472E-04 3.3006E-04 2.2083E-04 2.0420E-04 1.7611E-04 1.5345E-04 1.3488E-04 1.0660E-04 8.6357E-05 8.2681E-05 7.1379E-05 5.1114E-05 3.8397E-05 2.1598E-05 1.3820E-05 9.6016E-06 7.0540E-06 5.4013E-06 4.2676E-06 3.4567E-06 2.8573E-06 2.4010E-06 2.0451E-06 1.7638E-06 1.5368E-06 1.3500E-06 1.0669E-06 8.6416E-07 7.1415E-07 6.0007E-07 5.1141E-07 4.4095E-07 3.8409E-07 2.1598E-07 1.3831E-07 9.6016E-08 5.4013E-08 3.4567E-08 1.5356E-08 8.6405E-09 3.8409E-09 2.1598E-09 1.3831E-09 9.6016E-10 5.4001E-10 3.4567E-10 1.5356E-10 8.6405E-11 3.8409E-11 2.1598E-11 1.3831E-11 9.6016E-12 5.4001E-12 3.4567E-12 1.5356E-12 8.6405E-13 3.8409E-13 2.1598E-13 1.3831E-13 9.6016E-14 5.4001E-14 3.4567E-14 INCOHERENT SCATTERING CROSS SECTION 1.0713E-02 5.0052E-02 4.8077E-03 1.7969E-02 2.4341E-02 3.5950E-02 4.6530E-02 5.5964E-02 5.9983E-02 5.9983E-02 6.4334E-02 7.8141E-02 8.8627E-02 1.0580E-01 1.1640E-01 1.2767E-01 1.3193E-01 1.3311E-01 1.3288E-01 1.3039E-01 1.2673E-01 1.1693E-01 1.0833E-01 1.0114E-01 1.0114E-01 9.5094E-02 8.5542E-02 8.1689E-02 7.8283E-02 7.5240E-02 7.2502E-02 7.0024E-02 6.5691E-02 6.3778E-02 6.2004E-02 5.8818E-02 5.7382E-02 5.6779E-02 5.1330E-02 5.0304E-02 4.8401E-02 4.6672E-02 4.5090E-02 4.2280E-02 3.9839E-02 3.9343E-02 3.7703E-02 3.4179E-02 3.1351E-02 2.6150E-02 2.2591E-02 1.9967E-02 1.7945E-02 1.6326E-02 1.5014E-02 1.3914E-02 1.2968E-02 1.2165E-02 1.1462E-02 1.0843E-02 1.0294E-02 9.8037E-03 8.9596E-03 8.2622E-03 7.6746E-03 7.1710E-03 6.7348E-03 6.3530E-03 6.0149E-03 4.7795E-03 3.9898E-03 3.4377E-03 2.7107E-03 2.2508E-03 1.6030E-03 1.2566E-03 8.9053E-04 6.9748E-04 5.7737E-04 4.9438E-04 3.8610E-04 3.1765E-04 2.2177E-04 1.7165E-04 1.1940E-04 9.2150E-05 7.5340E-05 6.3884E-05 4.9225E-05 4.0194E-05 2.7769E-05 2.1350E-05 1.4730E-05 1.1305E-05 9.2067E-06 7.7822E-06 5.9676E-06 4.8552E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.4913E+03 2.1405E+06 3.7186E+04 2.3383E+03 1.1027E+03 3.7156E+02 1.6893E+02 9.0944E+01 7.0930E+01 5.8517E+02 4.6707E+02 2.2036E+02 1.2070E+02 3.9106E+01 1.7141E+01 5.2086E+00 2.1965E+00 1.1144E+00 6.3719E-01 2.6185E-01 1.3098E-01 3.7108E-02 1.5285E-02 7.7721E-03 7.7721E-03 4.5265E-03 1.9896E-03 1.4408E-03 1.0889E-03 8.5177E-04 6.8412E-04 5.6118E-04 4.0053E-04 3.4791E-04 3.0697E-04 2.4342E-04 2.1634E-04 2.0522E-04 1.3890E-04 1.2957E-04 1.1341E-04 1.0024E-04 8.9549E-05 7.3441E-05 6.1957E-05 5.9865E-05 5.3386E-05 4.1506E-05 3.3763E-05 2.2804E-05 1.7094E-05 1.3642E-05 1.1322E-05 9.6701E-06 8.4336E-06 7.4748E-06 6.7088E-06 6.0858E-06 5.5668E-06 5.1294E-06 4.7547E-06 4.4308E-06 3.9000E-06 3.4815E-06 3.1446E-06 2.8668E-06 2.6339E-06 2.4353E-06 2.2650E-06 1.6787E-06 1.3323E-06 1.1049E-06 8.2350E-07 6.5634E-07 4.3527E-07 3.2569E-07 2.1657E-07 1.6219E-07 1.2968E-07 1.0800E-07 8.0955E-08 6.4735E-08 4.3137E-08 3.2344E-08 2.1563E-08 1.6160E-08 1.2933E-08 1.0775E-08 8.0813E-09 6.4653E-09 4.3102E-09 3.2320E-09 2.1551E-09 1.6160E-09 1.2933E-09 1.0773E-09 8.0801E-10 6.4641E-10 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 5.7950E-05 9.2225E-05 1.8289E-04 2.9968E-04 4.3914E-04 7.7304E-04 1.1590E-03 1.2484E-03 1.5706E-03 2.4053E-03 3.2250E-03 5.1696E-03 6.8897E-03 8.4241E-03 9.7883E-03 1.1015E-02 1.2129E-02 1.3134E-02 1.4044E-02 1.4883E-02 1.5664E-02 1.6385E-02 1.7059E-02 1.7685E-02 1.8844E-02 1.9872E-02 2.0806E-02 2.1657E-02 2.2438E-02 2.3147E-02 2.3809E-02 2.6504E-02 2.8526E-02 3.0098E-02 3.2439E-02 3.4129E-02 3.6848E-02 3.8503E-02 4.0454E-02 4.1600E-02 4.2345E-02 4.2889E-02 4.3610E-02 4.4083E-02 4.4769E-02 4.5135E-02 4.5549E-02 4.5762E-02 4.5904E-02 4.5998E-02 4.6116E-02 4.6199E-02 4.6305E-02 4.6365E-02 4.6436E-02 4.6459E-02 4.6483E-02 4.6495E-02 4.6518E-02 4.6530E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.0497E-07 3.1139E-06 1.0971E-05 4.4780E-05 8.9218E-05 1.3701E-04 1.8465E-04 2.3088E-04 2.7521E-04 3.1729E-04 3.5725E-04 3.9496E-04 4.3055E-04 4.6447E-04 4.9663E-04 5.2725E-04 5.8399E-04 6.3589E-04 6.8353E-04 7.2751E-04 7.6805E-04 8.0588E-04 8.4123E-04 9.8841E-04 1.1015E-03 1.1928E-03 1.3311E-03 1.4328E-03 1.6054E-03 1.7165E-03 1.8536E-03 1.9376E-03 1.9967E-03 2.0392E-03 2.0995E-03 2.1409E-03 2.2024E-03 2.2367E-03 2.2757E-03 2.2993E-03 2.3135E-03 2.3230E-03 2.3360E-03 2.3442E-03 2.3561E-03 2.3632E-03 2.3702E-03 2.3738E-03 2.3762E-03 2.3773E-03 2.3797E-03 2.3809E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ce.mat0000644000276300001750000002112613136054446020310 0ustar solebliss00000000000000Ce 1 58 1.000000 8 4 3 3 7 3 3 8 82 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.1854E-03 1.1854E-03 1.2283E-03 1.2728E-03 1.2728E-03 1.3522E-03 1.4366E-03 1.4366E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 5.7234E-03 5.7234E-03 6.0000E-03 6.1642E-03 6.1642E-03 6.3536E-03 6.5488E-03 6.5488E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 4.0443E-02 4.0443E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 8.9871E+00 1.4231E+01 9.8802E+00 8.7894E+00 8.7894E+00 8.7478E+00 8.7034E+00 8.7034E+00 8.6172E+00 8.5229E+00 8.5229E+00 8.4542E+00 7.9212E+00 6.9198E+00 6.0473E+00 5.3123E+00 4.8653E+00 4.8653E+00 4.7063E+00 4.6160E+00 4.6160E+00 4.5149E+00 4.4140E+00 4.4140E+00 3.7625E+00 3.0709E+00 2.0153E+00 1.4493E+00 8.4026E-01 5.4670E-01 5.3768E-01 5.3768E-01 3.8888E-01 2.9183E-01 1.8090E-01 1.2279E-01 5.9785E-02 3.5480E-02 2.3455E-02 1.6633E-02 1.2400E-02 9.5974E-03 7.6483E-03 6.2364E-03 5.1803E-03 4.3711E-03 3.7383E-03 2.8251E-03 2.4890E-03 2.2091E-03 1.7740E-03 1.6032E-03 1.5357E-03 1.0307E-03 9.5355E-04 8.2320E-04 7.1776E-04 6.3125E-04 4.9918E-04 4.0470E-04 3.8755E-04 3.3477E-04 2.3989E-04 1.8026E-04 1.0148E-04 6.4943E-05 4.5129E-05 3.3150E-05 2.5384E-05 2.0054E-05 1.6246E-05 1.3427E-05 1.1282E-05 9.6146E-06 8.2908E-06 7.2206E-06 6.3481E-06 5.0158E-06 4.0620E-06 3.3572E-06 2.8208E-06 2.4034E-06 2.0725E-06 1.8052E-06 1.0156E-06 6.4986E-07 4.5129E-07 2.5388E-07 1.6246E-07 7.2206E-08 4.0620E-08 1.8052E-08 1.0156E-08 6.4986E-09 4.5129E-09 2.5388E-09 1.6246E-09 7.2206E-10 4.0620E-10 1.8052E-10 1.0156E-10 6.4986E-11 4.5129E-11 2.5388E-11 1.6246E-11 7.2206E-12 4.0620E-12 1.8052E-12 1.0156E-12 6.4986E-13 4.5129E-13 2.5388E-13 1.6246E-13 INCOHERENT SCATTERING CROSS SECTION 6.7307E-03 4.9335E+06 5.1382E-03 8.3338E-03 8.3338E-03 8.6725E-03 9.0215E-03 9.0215E-03 9.6732E-03 1.0380E-02 1.0380E-02 1.0900E-02 1.4884E-02 2.2517E-02 2.9557E-02 3.5905E-02 3.9989E-02 3.9989E-02 4.1458E-02 4.2305E-02 4.2305E-02 4.3262E-02 4.4226E-02 4.4226E-02 5.0716E-02 5.8453E-02 7.3754E-02 8.4327E-02 9.6791E-02 1.0332E-01 1.0354E-01 1.0354E-01 1.0689E-01 1.0870E-01 1.0938E-01 1.0809E-01 1.0208E-01 9.5802E-02 9.0186E-02 8.5272E-02 8.0981E-02 7.7235E-02 7.3944E-02 7.1003E-02 6.8341E-02 6.5931E-02 6.3745E-02 5.9885E-02 5.8152E-02 5.6529E-02 5.3645E-02 5.2393E-02 5.1877E-02 4.6934E-02 4.5995E-02 4.4266E-02 4.2696E-02 4.1254E-02 3.8687E-02 3.6473E-02 3.6026E-02 3.4541E-02 3.1316E-02 2.8719E-02 2.3966E-02 2.0699E-02 1.8297E-02 1.6448E-02 1.4970E-02 1.3762E-02 1.2752E-02 1.1893E-02 1.1153E-02 1.0509E-02 9.9413E-03 9.4384E-03 8.9871E-03 8.2135E-03 7.5731E-03 7.0358E-03 6.5759E-03 6.1719E-03 5.8238E-03 5.5143E-03 4.3840E-03 3.6580E-03 3.1517E-03 2.4860E-03 2.0630E-03 1.4691E-03 1.1519E-03 8.1662E-04 6.3954E-04 5.2951E-04 4.5344E-04 3.5398E-04 2.9123E-04 2.0338E-04 1.5739E-04 1.0943E-04 8.4499E-05 6.9069E-05 5.8582E-05 4.5129E-05 3.6847E-05 2.5466E-05 1.9577E-05 1.3500E-05 1.0367E-05 8.4413E-06 7.1347E-06 5.4713E-06 4.4527E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 9.7006E+03 1.9618E+06 4.7969E+04 6.5544E+03 7.5344E+03 6.9757E+03 6.4556E+03 6.8424E+03 6.0139E+03 5.2865E+03 5.5229E+03 5.0244E+03 2.5994E+03 9.7865E+02 4.7493E+02 2.6862E+02 1.8941E+02 5.4069E+02 4.8610E+02 4.5086E+02 6.1418E+02 5.6988E+02 5.2865E+02 6.1032E+02 3.6941E+02 2.0506E+02 6.9327E+01 3.1590E+01 1.0251E+01 4.5645E+00 4.4269E+00 2.5706E+01 1.4708E+01 9.0473E+00 4.1188E+00 2.2143E+00 7.0702E-01 3.1393E-01 1.6829E-01 1.0199E-01 6.7369E-02 4.7407E-02 3.5012E-02 2.6867E-02 2.1265E-02 1.7265E-02 1.4316E-02 1.0349E-02 8.9785E-03 7.8754E-03 6.2328E-03 5.6132E-03 5.3725E-03 3.6219E-03 3.3642E-03 2.9341E-03 2.5900E-03 2.3089E-03 1.8808E-03 1.5739E-03 1.5181E-03 1.3459E-03 1.0337E-03 8.3209E-04 5.4971E-04 4.0582E-04 3.1977E-04 2.6304E-04 2.2298E-04 1.9328E-04 1.7046E-04 1.5236E-04 1.3766E-04 1.2554E-04 1.1536E-04 1.0668E-04 9.9198E-05 8.6991E-05 7.7407E-05 6.9756E-05 6.3438E-05 5.8195E-05 5.3725E-05 4.9900E-05 3.6795E-05 2.9128E-05 2.4103E-05 1.7918E-05 1.4261E-05 9.4384E-06 7.0530E-06 4.6848E-06 3.5076E-06 2.8032E-06 2.3342E-06 1.7493E-06 1.3986E-06 9.3181E-07 6.9842E-07 4.6547E-07 3.4904E-07 2.7920E-07 2.3265E-07 1.7450E-07 1.3956E-07 9.3052E-08 6.9799E-08 4.6504E-08 3.4887E-08 2.7911E-08 2.3256E-08 1.7446E-08 1.3956E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.1765E-04 3.3786E-04 6.3999E-04 1.0057E-03 1.4178E-03 2.3330E-03 3.3155E-03 3.5360E-03 4.3192E-03 6.2948E-03 8.1748E-03 1.2391E-02 1.6014E-02 1.9135E-02 2.1903E-02 2.4387E-02 2.6643E-02 2.8715E-02 3.0623E-02 3.2394E-02 3.4044E-02 3.5570E-02 3.6989E-02 3.8299E-02 4.0676E-02 4.2808E-02 4.4742E-02 4.6504E-02 4.8095E-02 4.9556E-02 5.0931E-02 5.6433E-02 6.0516E-02 6.3696E-02 6.8381E-02 7.1691E-02 7.7020E-02 8.0158E-02 8.3854E-02 8.6003E-02 8.7378E-02 8.8410E-02 8.9742E-02 9.0602E-02 9.1848E-02 9.2536E-02 9.3267E-02 9.3653E-02 9.3911E-02 9.4083E-02 9.4298E-02 9.4470E-02 9.4642E-02 9.4771E-02 9.4857E-02 9.4943E-02 9.4986E-02 9.4986E-02 9.5029E-02 9.5029E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.6133E-08 2.8506E-06 1.0040E-05 4.0951E-05 8.1490E-05 1.2503E-04 1.6831E-04 2.1021E-04 2.5027E-04 2.8831E-04 3.2428E-04 3.5815E-04 3.9004E-04 4.2039E-04 4.4914E-04 4.7622E-04 5.2693E-04 5.7249E-04 6.1461E-04 6.5287E-04 6.8854E-04 7.2120E-04 7.5172E-04 8.7851E-04 9.7393E-04 1.0500E-03 1.1639E-03 1.2468E-03 1.3840E-03 1.4699E-03 1.5756E-03 1.6393E-03 1.6827E-03 1.7145E-03 1.7592E-03 1.7888E-03 1.8331E-03 1.8585E-03 1.8864E-03 1.9027E-03 1.9126E-03 1.9199E-03 1.9294E-03 1.9354E-03 1.9436E-03 1.9483E-03 1.9530E-03 1.9560E-03 1.9577E-03 1.9586E-03 1.9599E-03 1.9612E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Cu.mat0000644000276300001750000001712413136054446020333 0ustar solebliss00000000000000Copper 1 29 1.000000 3 4 9 87 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0961E-03 1.0961E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 8.9789E-03 8.9789E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 5.0540E+00 1.5015E+02 5.8910E+00 5.0085E+00 5.0085E+00 4.8057E+00 4.5252E+00 3.9461E+00 3.3993E+00 2.9141E+00 2.5000E+00 1.8717E+00 1.6461E+00 1.6461E+00 1.4500E+00 8.7973E-01 6.0595E-01 3.3690E-01 2.1238E-01 1.4670E-01 1.0794E-01 6.5949E-02 4.4456E-02 2.1114E-02 1.2263E-02 7.9966E-03 7.9966E-03 5.6207E-03 3.2070E-03 2.5447E-03 2.0678E-03 1.7132E-03 1.4424E-03 1.2310E-03 9.2675E-04 8.1520E-04 7.2258E-04 5.7905E-04 5.2284E-04 5.0066E-04 3.3510E-04 3.0988E-04 2.6730E-04 2.3294E-04 2.0481E-04 1.6191E-04 1.3116E-04 1.2557E-04 1.0839E-04 7.7610E-05 5.8301E-05 3.2799E-05 2.1001E-05 1.4585E-05 1.0709E-05 8.2022E-06 6.4812E-06 5.2492E-06 4.3385E-06 3.6457E-06 3.1065E-06 2.6781E-06 2.3332E-06 2.0508E-06 1.6205E-06 1.3125E-06 1.0851E-06 9.1139E-07 7.7662E-07 6.6963E-07 5.8330E-07 3.2809E-07 2.1001E-07 1.4585E-07 8.2022E-08 5.2492E-08 2.3332E-08 1.3125E-08 5.8330E-09 3.2809E-09 2.1001E-09 1.4585E-09 8.2022E-10 5.2492E-10 2.3332E-10 1.3125E-10 5.8330E-11 3.2809E-11 2.1001E-11 1.4585E-11 8.2022E-12 5.2492E-12 2.3332E-12 1.3125E-12 5.8330E-13 3.2809E-13 2.1001E-13 1.4585E-13 8.2022E-14 5.2492E-14 INCOHERENT SCATTERING CROSS SECTION 5.9145E-03 1.0335E+02 2.8316E-03 6.8385E-03 6.8385E-03 1.0860E-02 1.5912E-02 2.5872E-02 3.5273E-02 4.3906E-02 5.1810E-02 6.5693E-02 7.1616E-02 7.1616E-02 7.7255E-02 9.7611E-02 1.0984E-01 1.2310E-01 1.2888E-01 1.3106E-01 1.3135E-01 1.2945E-01 1.2623E-01 1.1713E-01 1.0879E-01 1.0177E-01 1.0177E-01 9.5811E-02 8.6258E-02 8.2399E-02 7.8989E-02 7.5939E-02 7.3189E-02 7.0696E-02 6.6335E-02 6.4414E-02 6.2636E-02 5.9429E-02 5.7970E-02 5.7354E-02 5.1867E-02 5.0834E-02 4.8911E-02 4.7157E-02 4.5549E-02 4.2702E-02 4.0258E-02 3.9765E-02 3.8126E-02 3.4556E-02 3.1681E-02 2.6431E-02 2.2830E-02 2.0176E-02 1.8139E-02 1.6509E-02 1.5172E-02 1.4054E-02 1.3116E-02 1.2301E-02 1.1581E-02 1.0965E-02 1.0406E-02 9.9127E-03 9.0570E-03 8.3519E-03 7.7568E-03 7.2488E-03 6.8072E-03 6.4205E-03 6.0803E-03 4.8313E-03 4.0333E-03 3.4751E-03 2.7407E-03 2.2744E-03 1.6196E-03 1.2699E-03 9.0020E-04 7.0498E-04 5.8358E-04 4.9971E-04 3.9026E-04 3.2107E-04 2.2422E-04 1.7352E-04 1.2064E-04 9.3138E-05 7.6156E-05 6.4575E-05 4.9753E-05 4.0618E-05 2.8070E-05 2.1579E-05 1.4888E-05 1.1429E-05 9.3053E-06 7.8658E-06 6.0310E-06 4.9071E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 1.0567E+04 5.4518E+06 6.9258E+04 8.2401E+03 9.3403E+03 4.4134E+03 2.1493E+03 7.4488E+02 3.4391E+02 1.8698E+02 1.1306E+02 5.0616E+01 3.6571E+01 2.7663E+02 2.1446E+02 7.3076E+01 3.3084E+01 1.0453E+01 4.5204E+00 2.3351E+00 1.3533E+00 5.6757E-01 2.8781E-01 8.3453E-02 3.4875E-02 1.7913E-02 1.7913E-02 1.0510E-02 4.6635E-03 3.3886E-03 2.5682E-03 2.0137E-03 1.6205E-03 1.3315E-03 9.5180E-04 8.2647E-04 7.2854E-04 5.7756E-04 5.1431E-04 4.8853E-04 3.3027E-04 3.0786E-04 2.6930E-04 2.3796E-04 2.1248E-04 1.7396E-04 1.4642E-04 1.4139E-04 1.2588E-04 9.7595E-05 7.9217E-05 5.3241E-05 3.9784E-05 3.1653E-05 2.6222E-05 2.2365E-05 1.9475E-05 1.7248E-05 1.5466E-05 1.4016E-05 1.2813E-05 1.1799E-05 1.0936E-05 1.0188E-05 8.9565E-06 7.9918E-06 7.2138E-06 6.5731E-06 6.0377E-06 5.5818E-06 5.1905E-06 3.8410E-06 3.0477E-06 2.5265E-06 1.8821E-06 1.4992E-06 9.9412E-07 7.4365E-07 4.9441E-07 3.7026E-07 2.9596E-07 2.4649E-07 1.8480E-07 1.4774E-07 9.8464E-08 7.3805E-08 4.9194E-08 3.6893E-08 2.9511E-08 2.4592E-08 1.8442E-08 1.4755E-08 9.8369E-09 7.3758E-09 4.9166E-09 3.6874E-09 2.9501E-09 2.4583E-09 1.8442E-09 1.4746E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 8.0202E-05 1.2669E-04 2.4805E-04 4.0239E-04 5.8509E-04 1.0180E-03 1.5106E-03 1.6234E-03 2.0311E-03 3.1006E-03 4.1584E-03 6.6177E-03 8.7869E-03 1.0718E-02 1.2434E-02 1.3969E-02 1.5362E-02 1.6632E-02 1.7769E-02 1.8821E-02 1.9797E-02 2.0707E-02 2.1550E-02 2.2337E-02 2.3787E-02 2.5076E-02 2.6251E-02 2.7312E-02 2.8288E-02 2.9179E-02 3.0004E-02 3.3368E-02 3.5889E-02 3.7860E-02 4.0788E-02 4.2883E-02 4.6209E-02 4.8209E-02 5.0530E-02 5.1867E-02 5.2748E-02 5.3373E-02 5.4207E-02 5.4757E-02 5.5534E-02 5.5961E-02 5.6425E-02 5.6671E-02 5.6823E-02 5.6937E-02 5.7079E-02 5.7164E-02 5.7287E-02 5.7354E-02 5.7429E-02 5.7467E-02 5.7486E-02 5.7496E-02 5.7524E-02 5.7534E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.0607E-07 3.1469E-06 1.1088E-05 4.5261E-05 9.0143E-05 1.3836E-04 1.8650E-04 2.3313E-04 2.7777E-04 3.2022E-04 3.6050E-04 3.9850E-04 4.3432E-04 4.6844E-04 5.0085E-04 5.3165E-04 5.8870E-04 6.4082E-04 6.8859E-04 7.3265E-04 7.7340E-04 8.1122E-04 8.4647E-04 9.9317E-04 1.1059E-03 1.1950E-03 1.3315E-03 1.4310E-03 1.5968E-03 1.7020E-03 1.8309E-03 1.9077E-03 1.9608E-03 1.9996E-03 2.0527E-03 2.0887E-03 2.1408E-03 2.1711E-03 2.2034E-03 2.2233E-03 2.2346E-03 2.2432E-03 2.2536E-03 2.2612E-03 2.2706E-03 2.2754E-03 2.2811E-03 2.2839E-03 2.2868E-03 2.2877E-03 2.2887E-03 2.2905E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ru.mat0000644000276300001750000001571413136054446020355 0ustar solebliss00000000000000Ruthenium 1 44 1.000000 5 6 3 3 9 70 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.8379E-03 2.8379E-03 2.9017E-03 2.9669E-03 2.9669E-03 3.0000E-03 3.2240E-03 3.2240E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 2.2117E-02 2.2117E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 3.0000E-01 4.0000E-01 5.0000E-01 6.0000E-01 8.0000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.5000E+00 2.0000E+00 2.0440E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 7.2752E+00 4.5448E+01 8.2395E+00 6.8760E+00 6.4410E+00 5.7105E+00 5.7105E+00 5.6562E+00 5.6015E+00 5.6015E+00 5.5741E+00 5.3917E+00 5.3917E+00 4.8084E+00 4.1727E+00 3.6567E+00 2.8982E+00 2.3708E+00 1.5331E+00 1.0528E+00 9.1759E-01 9.1759E-01 5.9280E-01 3.8682E-01 2.7164E-01 2.0044E-01 1.2227E-01 8.2762E-02 4.0094E-02 2.3548E-02 1.0904E-02 6.2623E-03 4.0529E-03 2.8350E-03 1.6076E-03 1.0332E-03 9.8969E-04 6.6317E-04 4.6118E-04 2.5985E-04 2.4882E-04 1.1559E-04 6.5066E-05 4.1649E-05 2.8928E-05 2.1254E-05 1.6272E-05 1.2858E-05 1.0415E-05 8.6099E-06 7.2335E-06 6.1610E-06 5.3137E-06 4.6291E-06 4.0684E-06 3.2145E-06 2.6038E-06 2.1522E-06 1.8084E-06 1.5408E-06 1.3287E-06 1.1571E-06 6.5125E-07 4.1661E-07 2.8934E-07 1.6272E-07 1.0415E-07 4.6291E-08 2.6038E-08 1.1571E-08 6.5066E-09 4.1661E-09 2.8934E-09 1.6272E-09 1.0415E-09 4.6291E-10 2.6038E-10 1.1571E-10 6.5066E-11 4.1661E-11 2.8934E-11 1.6272E-11 1.0415E-11 4.6291E-12 2.6038E-12 1.1571E-12 6.5066E-13 4.1661E-13 2.8934E-13 1.6272E-13 1.0415E-13 INCOHERENT SCATTERING CROSS SECTION 5.7915E-03 6.0024E-03 2.2666E-03 1.0397E-02 1.4967E-02 2.2255E-02 2.2255E-02 2.2786E-02 2.3327E-02 2.3327E-02 2.3601E-02 2.5418E-02 2.5418E-02 3.1430E-02 3.8586E-02 4.5188E-02 5.6700E-02 6.5959E-02 8.2464E-02 9.3606E-02 9.7241E-02 9.7241E-02 1.0707E-01 1.1398E-01 1.1744E-01 1.1893E-01 1.1869E-01 1.1661E-01 1.0928E-01 1.0213E-01 9.0448E-02 8.1749E-02 7.5016E-02 6.9594E-02 6.1312E-02 5.5210E-02 5.4626E-02 4.9419E-02 4.4944E-02 3.8378E-02 3.7907E-02 3.0215E-02 2.5210E-02 2.1772E-02 1.9246E-02 1.7297E-02 1.5742E-02 1.4473E-02 1.3412E-02 1.2507E-02 1.1732E-02 1.1053E-02 1.0457E-02 9.9267E-03 9.4500E-03 8.6397E-03 7.9664E-03 7.4003E-03 6.9177E-03 6.4946E-03 6.1252E-03 5.7999E-03 4.6088E-03 3.8473E-03 3.3146E-03 2.6139E-03 2.1700E-03 1.5450E-03 1.2113E-03 8.5860E-04 6.7270E-04 5.5669E-04 4.7667E-04 3.7228E-04 3.0626E-04 2.1391E-04 1.6552E-04 1.1512E-04 8.8839E-05 7.2633E-05 6.1610E-05 4.7459E-05 3.8747E-05 2.6777E-05 2.0586E-05 1.4199E-05 1.0898E-05 8.8780E-06 7.5016E-06 5.7534E-06 4.6809E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 5.7105E+03 1.1791E+06 2.8414E+04 2.2338E+03 1.1130E+03 4.6475E+02 1.6380E+03 1.5397E+03 1.4467E+03 1.9692E+03 1.9573E+03 1.6320E+03 1.8685E+03 1.0898E+03 6.1252E+02 3.7943E+02 1.7553E+02 9.5572E+01 3.1085E+01 1.3847E+01 1.0415E+01 6.7747E+01 3.0698E+01 1.4014E+01 7.5314E+00 4.5027E+00 1.9740E+00 1.0326E+00 3.1532E-01 1.3615E-01 4.2698E-02 1.9412E-02 1.0850E-02 6.9058E-03 3.5560E-03 2.2177E-03 2.1099E-03 1.4235E-03 1.0213E-03 6.2325E-04 6.0180E-04 3.3272E-04 2.2141E-04 1.6427E-04 1.3001E-04 1.0725E-04 9.1163E-05 7.9187E-05 6.9951E-05 6.2623E-05 5.6658E-05 5.1725E-05 4.7572E-05 4.4032E-05 4.0976E-05 3.5977E-05 3.2056E-05 2.8904E-05 2.6312E-05 2.4149E-05 2.2314E-05 2.0735E-05 1.5313E-05 1.2137E-05 1.0046E-05 7.4778E-06 5.9530E-06 3.9433E-06 2.9482E-06 1.9591E-06 1.4670E-06 1.1726E-06 9.7658E-07 7.3169E-07 5.8505E-07 3.8980E-07 2.9226E-07 1.9478E-07 1.4604E-07 1.1684E-07 9.7360E-08 7.2990E-08 5.8404E-08 3.8932E-08 2.9202E-08 1.9466E-08 1.4598E-08 1.1678E-08 9.7300E-09 7.2990E-09 5.8398E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4372E-04 6.7806E-04 2.3845E-03 2.5532E-03 6.2503E-03 9.7300E-03 1.2757E-02 1.5379E-02 1.7726E-02 1.9835E-02 2.1748E-02 2.3506E-02 2.5115E-02 2.6598E-02 2.7963E-02 2.9220E-02 3.0388E-02 3.1478E-02 3.3480E-02 3.5268E-02 3.6894E-02 3.8372E-02 3.9725E-02 4.0958E-02 4.2096E-02 4.6714E-02 5.0134E-02 5.2803E-02 5.6736E-02 5.9536E-02 6.3993E-02 6.6674E-02 6.9773E-02 7.1560E-02 7.2692E-02 7.3586E-02 7.4659E-02 7.5433E-02 7.6446E-02 7.7042E-02 7.7638E-02 7.7995E-02 7.8174E-02 7.8353E-02 7.8531E-02 7.8651E-02 7.8829E-02 7.8889E-02 7.9008E-02 7.9068E-02 7.9068E-02 7.9127E-02 7.9127E-02 7.9127E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0570E-05 4.3127E-05 8.5860E-05 1.3174E-04 1.7744E-04 2.2171E-04 2.6408E-04 3.0435E-04 3.4243E-04 3.7836E-04 4.1220E-04 4.4444E-04 4.7494E-04 5.0390E-04 5.5759E-04 6.0656E-04 6.5125E-04 6.9236E-04 7.3050E-04 7.6565E-04 7.9842E-04 9.3427E-04 1.0374E-03 1.1190E-03 1.2423E-03 1.3323E-03 1.4818E-03 1.5754E-03 1.6904E-03 1.7595E-03 1.8072E-03 1.8417E-03 1.8894E-03 1.9216E-03 1.9686E-03 1.9961E-03 2.0253E-03 2.0425E-03 2.0533E-03 2.0604E-03 2.0705E-03 2.0771E-03 2.0854E-03 2.0902E-03 2.0950E-03 2.0979E-03 2.0997E-03 2.1009E-03 2.1021E-03 2.1033E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Sc.mat0000644000276300001750000001666213136054446020337 0ustar solebliss00000000000000Sc 1 21 1.000000 2 8 90 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 4.4928E-03 4.4928E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 3.5525E+00 3.8505E+01 4.2945E+00 3.2444E+00 2.9524E+00 2.4554E+00 2.0495E+00 1.8767E+00 1.8767E+00 1.7200E+00 1.4628E+00 1.1074E+00 8.8371E-01 5.6222E-01 3.8204E-01 2.0629E-01 1.3042E-01 9.0622E-02 6.6751E-02 4.0415E-02 2.6965E-02 1.2658E-02 7.3140E-03 4.7530E-03 3.3315E-03 2.4622E-03 1.8928E-03 1.5000E-03 1.2177E-03 1.0080E-03 8.4808E-04 7.2333E-04 5.4402E-04 4.7836E-04 4.2388E-04 3.3959E-04 3.0663E-04 2.9363E-04 1.9638E-04 1.8159E-04 1.5664E-04 1.3650E-04 1.1999E-04 9.4808E-05 7.6797E-05 7.3529E-05 6.3480E-05 4.5457E-05 3.4146E-05 1.9209E-05 1.2295E-05 8.5370E-06 6.2732E-06 4.8023E-06 3.7950E-06 3.0730E-06 2.5398E-06 2.1339E-06 1.8191E-06 1.5686E-06 1.3664E-06 1.2007E-06 9.4868E-07 7.6837E-07 6.3509E-07 5.3368E-07 4.5465E-07 3.9209E-07 3.4159E-07 1.9209E-07 1.2295E-07 8.5384E-08 4.8023E-08 3.0730E-08 1.3664E-08 7.6837E-09 3.4146E-09 1.9209E-09 1.2295E-09 8.5370E-10 4.8023E-10 3.0730E-10 1.3664E-10 7.6837E-11 3.4146E-11 1.9209E-11 1.2295E-11 8.5370E-12 4.8023E-12 3.0730E-12 1.3664E-12 7.6837E-13 3.4146E-13 1.9209E-13 1.2295E-13 8.5370E-14 4.8023E-14 3.0730E-14 INCOHERENT SCATTERING CROSS SECTION 1.3010E-02 4.8348E-02 6.1685E-03 2.1031E-02 2.7957E-02 4.0616E-02 5.1989E-02 5.7092E-02 5.7092E-02 6.1982E-02 7.0689E-02 8.4580E-02 9.4801E-02 1.1191E-01 1.2273E-01 1.3385E-01 1.3784E-01 1.3891E-01 1.3851E-01 1.3570E-01 1.3172E-01 1.2135E-01 1.1232E-01 1.0480E-01 9.8498E-02 9.3163E-02 8.8572E-02 8.4567E-02 8.1030E-02 7.7877E-02 7.5042E-02 7.2477E-02 6.7992E-02 6.6014E-02 6.4180E-02 6.0879E-02 5.9383E-02 5.8753E-02 5.3114E-02 5.2054E-02 5.0085E-02 4.8291E-02 4.6648E-02 4.3734E-02 4.1218E-02 4.0709E-02 3.9021E-02 3.5366E-02 3.2431E-02 2.7059E-02 2.3362E-02 2.0656E-02 1.8566E-02 1.6892E-02 1.5526E-02 1.4387E-02 1.3422E-02 1.2587E-02 1.1858E-02 1.1219E-02 1.0651E-02 1.0143E-02 9.2698E-03 8.5491E-03 7.9409E-03 7.4199E-03 6.9671E-03 6.5719E-03 6.2236E-03 4.9457E-03 4.1285E-03 3.5565E-03 2.8050E-03 2.3282E-03 1.6584E-03 1.3000E-03 9.2135E-04 7.2162E-04 5.9731E-04 5.1145E-04 3.9946E-04 3.2860E-04 2.2947E-04 1.7763E-04 1.2351E-04 9.5337E-05 7.7949E-05 6.6094E-05 5.0930E-05 4.1580E-05 2.8734E-05 2.2089E-05 1.5231E-05 1.1697E-05 9.5243E-06 8.0508E-06 6.1741E-06 5.0220E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 5.2337E+03 1.8972E+06 3.0849E+04 1.8540E+03 8.6750E+02 2.8975E+02 1.3114E+02 9.4948E+01 8.1285E+02 6.2879E+02 3.9182E+02 1.8165E+02 9.8538E+01 3.1346E+01 1.3583E+01 4.0683E+00 1.7012E+00 8.5772E-01 4.8800E-01 1.9906E-01 9.9061E-02 2.7850E-02 1.1414E-02 5.7841E-03 3.3596E-03 2.1461E-03 1.4708E-03 1.0641E-03 8.0374E-04 6.2840E-04 5.0435E-04 4.1331E-04 2.9476E-04 2.5626E-04 2.2648E-04 1.7979E-04 1.5941E-04 1.5097E-04 1.0220E-04 9.5386E-05 8.3515E-05 7.3823E-05 6.5987E-05 5.4188E-05 4.5719E-05 4.4165E-05 3.9373E-05 3.0648E-05 2.4969E-05 1.6892E-05 1.2688E-05 1.0128E-05 8.4151E-06 7.1908E-06 6.2745E-06 5.5632E-06 4.9952E-06 4.5317E-06 4.1460E-06 3.8218E-06 3.5431E-06 3.3020E-06 2.9069E-06 2.5961E-06 2.3456E-06 2.1379E-06 1.9651E-06 1.8165E-06 1.6905E-06 1.2525E-06 9.9476E-07 8.2504E-07 6.1499E-07 4.9015E-07 3.2525E-07 2.4327E-07 1.6182E-07 1.2119E-07 9.6877E-08 8.0695E-08 6.0481E-08 4.8372E-08 3.2230E-08 2.4166E-08 1.6102E-08 1.2079E-08 9.6623E-09 8.0521E-09 6.0388E-09 4.8305E-09 3.2203E-09 2.4152E-09 1.6102E-09 1.2075E-09 9.6596E-10 8.0494E-10 6.0374E-10 4.8291E-10 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.3355E-05 8.5169E-05 1.6971E-04 2.7903E-04 4.0977E-04 7.2306E-04 1.0860E-03 1.1702E-03 1.4743E-03 2.2625E-03 3.0368E-03 4.8760E-03 6.5063E-03 7.9624E-03 9.2564E-03 1.0422E-02 1.1476E-02 1.2431E-02 1.3299E-02 1.4092E-02 1.4829E-02 1.5512E-02 1.6155E-02 1.6758E-02 1.7856E-02 1.8834E-02 1.9718E-02 2.0522E-02 2.1259E-02 2.1942E-02 2.2572E-02 2.5144E-02 2.7059E-02 2.8560E-02 3.0783E-02 3.2391E-02 3.4989E-02 3.6584E-02 3.8459E-02 3.9544E-02 4.0281E-02 4.0803E-02 4.1513E-02 4.1969E-02 4.2638E-02 4.3000E-02 4.3389E-02 4.3603E-02 4.3750E-02 4.3844E-02 4.3965E-02 4.4045E-02 4.4152E-02 4.4206E-02 4.4273E-02 4.4299E-02 4.4326E-02 4.4340E-02 4.4353E-02 4.4366E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0859E-07 3.2215E-06 1.1350E-05 4.6336E-05 9.2323E-05 1.4173E-04 1.9116E-04 2.3898E-04 2.8479E-04 3.2846E-04 3.6972E-04 4.0884E-04 4.4567E-04 4.8090E-04 5.1413E-04 5.4587E-04 6.0481E-04 6.5866E-04 7.0809E-04 7.5364E-04 7.9584E-04 8.3508E-04 8.7166E-04 1.0246E-03 1.1422E-03 1.2367E-03 1.3811E-03 1.4883E-03 1.6691E-03 1.7856E-03 1.9303E-03 2.0201E-03 2.0830E-03 2.1286E-03 2.1942E-03 2.2371E-03 2.3041E-03 2.3429E-03 2.3844E-03 2.4099E-03 2.4246E-03 2.4367E-03 2.4514E-03 2.4608E-03 2.4728E-03 2.4809E-03 2.4876E-03 2.4929E-03 2.4956E-03 2.4969E-03 2.4983E-03 2.5010E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Tl.mat0000644000276300001750000002174213136054446020344 0ustar solebliss00000000000000Tl 1 81 1.000000 10 6 3 3 3 3 7 3 3 8 79 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.3893E-03 2.3893E-03 2.4367E-03 2.4851E-03 2.4851E-03 2.7106E-03 2.9566E-03 2.9566E-03 3.0000E-03 3.4157E-03 3.4157E-03 3.5570E-03 3.7041E-03 3.7041E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.2657E-02 1.2657E-02 1.3640E-02 1.4698E-02 1.4698E-02 1.5000E-02 1.5347E-02 1.5347E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 8.5530E-02 8.5530E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.2390E+01 4.1237E+01 1.3509E+01 1.1904E+01 1.1347E+01 1.0887E+01 1.0887E+01 1.0841E+01 1.0793E+01 1.0793E+01 1.0537E+01 1.0242E+01 1.0242E+01 1.0192E+01 9.7264E+00 9.7264E+00 9.5724E+00 9.4140E+00 9.4140E+00 9.1017E+00 8.1294E+00 7.2867E+00 5.9342E+00 4.9206E+00 3.9129E+00 3.9129E+00 3.6188E+00 3.3325E+00 3.3325E+00 3.2559E+00 3.1734E+00 3.1734E+00 2.2991E+00 1.3551E+00 9.0398E-01 6.4263E-01 4.8087E-01 3.0231E-01 2.7072E-01 2.7072E-01 2.0867E-01 1.0277E-01 6.1316E-02 4.0884E-02 2.9241E-02 2.1951E-02 1.7081E-02 1.3665E-02 1.1179E-02 9.3138E-03 7.8789E-03 6.7514E-03 5.1170E-03 4.5140E-03 4.0118E-03 3.2293E-03 2.9209E-03 2.7989E-03 1.8852E-03 1.7451E-03 1.5079E-03 1.3159E-03 1.1584E-03 9.1765E-04 7.4458E-04 7.1305E-04 6.1606E-04 4.4190E-04 3.3236E-04 1.8731E-04 1.1998E-04 8.3356E-05 6.1258E-05 4.6908E-05 3.7067E-05 3.0025E-05 2.4821E-05 2.0858E-05 1.7773E-05 1.5325E-05 1.3351E-05 1.1733E-05 9.2726E-06 7.5106E-06 6.2053E-06 5.2153E-06 4.4433E-06 3.8334E-06 3.3384E-06 1.8778E-06 1.2019E-06 8.3445E-07 4.6938E-07 3.0054E-07 1.3353E-07 7.5106E-08 3.3384E-08 1.8775E-08 1.2016E-08 8.3445E-09 4.6938E-09 3.0054E-09 1.3353E-09 7.5106E-10 3.3384E-10 1.8775E-10 1.2016E-10 8.3445E-11 4.6938E-11 3.0054E-11 1.3354E-11 7.5106E-12 3.3384E-12 1.8775E-12 1.2016E-12 8.3445E-13 4.6938E-13 3.0054E-13 INCOHERENT SCATTERING CROSS SECTION 3.6183E-03 7.0691E-03 1.4016E-03 6.5854E-03 9.5172E-03 1.1730E-02 1.1730E-02 1.1976E-02 1.2225E-02 1.2225E-02 1.3440E-02 1.4783E-02 1.4783E-02 1.5012E-02 1.7175E-02 1.7175E-02 1.7899E-02 1.8648E-02 1.8648E-02 2.0136E-02 2.4983E-02 2.9612E-02 3.8157E-02 4.5523E-02 5.3508E-02 5.3508E-02 5.6077E-02 5.8665E-02 5.8665E-02 5.9372E-02 6.0167E-02 6.0167E-02 6.9243E-02 8.2679E-02 9.0605E-02 9.5172E-02 9.7706E-02 9.9532E-02 9.9621E-02 9.9621E-02 9.9238E-02 9.5083E-02 8.9868E-02 8.4931E-02 8.0528E-02 7.6649E-02 7.3220E-02 7.0170E-02 6.7445E-02 6.4995E-02 6.2760E-02 6.0702E-02 5.7059E-02 5.5453E-02 5.3970E-02 5.1278E-02 5.0031E-02 4.9501E-02 4.4846E-02 4.3963E-02 4.2311E-02 4.0809E-02 3.9446E-02 3.7026E-02 3.4886E-02 3.4444E-02 3.2995E-02 2.9925E-02 2.7476E-02 2.2933E-02 1.9809E-02 1.7514E-02 1.5743E-02 1.4329E-02 1.3174E-02 1.2204E-02 1.1385E-02 1.0678E-02 1.0059E-02 9.5172E-03 9.0339E-03 8.6038E-03 7.8642E-03 7.2513E-03 6.7357E-03 6.2937E-03 5.9107E-03 5.5748E-03 5.2801E-03 4.1958E-03 3.5034E-03 3.0172E-03 2.3799E-03 1.9753E-03 1.4067E-03 1.1029E-03 7.8170E-04 6.1228E-04 5.0680E-04 4.3402E-04 3.3885E-04 2.7883E-04 1.9470E-04 1.5071E-04 1.0478E-04 8.0881E-05 6.6119E-05 5.6072E-05 4.3196E-05 3.5270E-05 2.4379E-05 1.8743E-05 1.2926E-05 9.9238E-06 8.0822E-06 6.8300E-06 5.2389E-06 4.2606E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 4.9943E+03 4.6656E+05 1.9575E+04 2.2473E+03 1.2198E+03 8.2443E+02 1.1211E+03 1.5083E+03 2.0290E+03 2.3448E+03 2.1367E+03 1.9470E+03 2.2552E+03 2.1783E+03 1.5811E+03 1.6771E+03 1.5228E+03 1.3828E+03 1.4426E+03 1.2031E+03 6.9861E+02 4.4433E+02 2.1483E+02 1.2107E+02 6.5589E+01 1.6533E+02 1.3514E+02 1.1049E+02 1.5378E+02 1.4635E+02 1.3834E+02 1.5991E+02 8.1235E+01 2.7850E+01 1.2856E+01 7.0127E+00 4.2606E+00 1.9305E+00 1.6052E+00 7.6756E+00 5.0886E+00 1.7591E+00 8.1824E-01 4.5381E-01 2.8248E-01 1.9054E-01 1.3639E-01 1.0220E-01 7.9378E-02 6.3464E-02 5.1947E-02 4.3354E-02 3.1639E-02 2.7547E-02 2.4235E-02 1.9256E-02 1.7355E-02 1.6612E-02 1.1206E-02 1.0402E-02 9.0572E-03 7.9820E-03 7.1079E-03 5.7813E-03 4.8293E-03 4.6555E-03 4.1200E-03 3.1499E-03 2.5251E-03 1.6536E-03 1.2122E-03 9.5024E-04 7.7817E-04 6.5736E-04 5.6838E-04 5.0002E-04 4.4580E-04 4.0220E-04 3.6625E-04 3.3619E-04 3.1027E-04 2.8834E-04 2.5237E-04 2.2432E-04 2.0183E-04 1.8342E-04 1.6807E-04 1.5504E-04 1.4391E-04 1.0584E-04 8.3651E-05 6.9154E-05 5.1357E-05 4.0838E-05 2.6993E-05 2.0160E-05 1.3386E-05 1.0018E-05 8.0056E-06 6.6650E-06 4.9943E-06 3.9925E-06 2.6592E-06 1.9936E-06 1.3286E-06 9.9621E-07 7.9673E-07 6.6384E-07 4.9796E-07 3.9837E-07 2.6551E-07 1.9912E-07 1.3274E-07 9.9562E-08 7.9644E-08 6.6384E-08 4.9766E-08 3.9807E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7096E-04 5.8375E-04 1.1230E-03 1.7673E-03 2.4663E-03 3.9103E-03 5.3479E-03 5.6632E-03 6.7588E-03 9.3830E-03 1.1762E-02 1.6933E-02 2.1265E-02 2.4998E-02 2.8280E-02 3.1233E-02 3.3944E-02 3.6419E-02 3.8687E-02 4.0838E-02 4.2842E-02 4.4698E-02 4.6437E-02 4.8057E-02 5.1004E-02 5.3597E-02 5.5983E-02 5.8134E-02 6.0138E-02 6.1935E-02 6.3615E-02 7.0421E-02 7.5489E-02 7.9408E-02 8.5183E-02 8.9249E-02 9.5673E-02 9.9474E-02 1.0389E-01 1.0640E-01 1.0808E-01 1.0926E-01 1.1082E-01 1.1182E-01 1.1329E-01 1.1409E-01 1.1497E-01 1.1541E-01 1.1571E-01 1.1591E-01 1.1618E-01 1.1636E-01 1.1659E-01 1.1671E-01 1.1686E-01 1.1692E-01 1.1695E-01 1.1698E-01 1.1703E-01 1.1706E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1987E-08 2.7265E-06 9.5997E-06 3.9129E-05 7.7817E-05 1.1927E-04 1.6050E-04 2.0033E-04 2.3837E-04 2.7444E-04 3.0850E-04 3.4061E-04 3.7067E-04 3.9925E-04 4.2636E-04 4.5199E-04 4.9943E-04 5.4245E-04 5.8164E-04 6.1758E-04 6.5059E-04 6.8123E-04 7.0951E-04 8.2620E-04 9.1400E-04 9.8295E-04 1.0858E-03 1.1597E-03 1.2808E-03 1.3554E-03 1.4458E-03 1.4995E-03 1.5357E-03 1.5622E-03 1.5985E-03 1.6226E-03 1.6583E-03 1.6783E-03 1.7001E-03 1.7128E-03 1.7208E-03 1.7261E-03 1.7334E-03 1.7378E-03 1.7440E-03 1.7479E-03 1.7511E-03 1.7535E-03 1.7549E-03 1.7555E-03 1.7564E-03 1.7573E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/I.mat0000644000276300001750000002016613136054446020154 0ustar solebliss00000000000000Iodine 1 53 1.000000 6 4 6 3 3 8 83 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0721E-03 1.0721E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 4.5571E-03 4.5571E-03 4.7023E-03 4.8521E-03 4.8521E-03 5.0000E-03 5.1881E-03 5.1881E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 3.3169E-02 3.3169E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 8.4184E+00 1.8036E+03 1.0403E+01 8.3567E+00 8.3567E+00 7.9581E+00 7.4455E+00 6.4632E+00 5.6281E+00 5.2294E+00 5.2294E+00 5.1326E+00 5.0349E+00 5.0349E+00 4.9400E+00 4.8213E+00 4.8213E+00 4.3563E+00 3.4461E+00 2.7984E+00 1.8431E+00 1.3121E+00 7.4550E-01 6.4300E-01 6.4300E-01 4.8593E-01 3.4518E-01 2.5768E-01 1.5845E-01 1.0734E-01 5.2200E-02 3.0869E-02 2.0346E-02 2.0346E-02 1.4402E-02 8.2950E-03 6.6040E-03 5.3813E-03 4.4692E-03 3.7707E-03 3.2238E-03 2.4338E-03 2.1430E-03 1.9011E-03 1.5259E-03 1.3790E-03 1.3211E-03 8.8597E-04 8.1945E-04 7.0712E-04 6.1643E-04 5.4214E-04 4.2883E-04 3.4765E-04 3.3289E-04 2.8748E-04 2.0595E-04 1.5475E-04 8.7126E-05 5.5759E-05 3.8732E-05 2.8458E-05 2.1791E-05 1.7216E-05 1.3947E-05 1.1527E-05 9.6854E-06 8.2523E-06 7.1181E-06 6.1975E-06 5.4477E-06 4.3050E-06 3.4869E-06 2.8819E-06 2.4216E-06 2.0633E-06 1.7791E-06 1.5499E-06 8.7173E-07 5.5806E-07 3.8746E-07 2.1796E-07 1.3947E-07 6.1975E-08 3.4869E-08 1.5499E-08 8.7173E-09 5.5806E-09 3.8742E-09 2.1791E-09 1.3947E-09 6.1975E-10 3.4869E-10 1.5499E-10 8.7173E-11 5.5806E-11 3.8742E-11 2.1791E-11 1.3947E-11 6.1975E-12 3.4869E-12 1.5499E-12 8.7173E-13 5.5806E-13 3.8742E-13 2.1791E-13 1.3947E-13 INCOHERENT SCATTERING CROSS SECTION 4.6875E-03 7.1680E+02 2.2309E-03 5.2721E-03 5.2721E-03 8.9688E-03 1.3425E-02 2.1895E-02 2.9317E-02 3.2962E-02 3.2962E-02 3.3869E-02 3.4789E-02 3.4789E-02 3.5681E-02 3.6791E-02 3.6791E-02 4.1290E-02 5.1061E-02 5.9555E-02 7.5784E-02 8.6461E-02 9.9084E-02 1.0165E-01 1.0165E-01 1.0573E-01 1.0933E-01 1.1104E-01 1.1152E-01 1.1000E-01 1.0364E-01 9.7091E-02 9.1292E-02 9.1292E-02 8.6272E-02 7.8109E-02 7.4745E-02 7.1751E-02 6.9063E-02 6.6626E-02 6.4397E-02 6.0476E-02 5.8748E-02 5.7151E-02 5.4251E-02 5.2911E-02 5.2342E-02 4.7373E-02 4.6439E-02 4.4691E-02 4.3093E-02 4.1629E-02 3.9037E-02 3.6805E-02 3.6355E-02 3.4857E-02 3.1603E-02 2.8980E-02 2.4178E-02 2.0885E-02 1.8460E-02 1.6595E-02 1.5105E-02 1.3885E-02 1.2865E-02 1.1996E-02 1.1251E-02 1.0601E-02 1.0027E-02 9.5240E-03 9.0685E-03 8.2855E-03 7.6401E-03 7.0991E-03 6.6341E-03 6.2307E-03 5.8748E-03 5.5616E-03 4.4213E-03 3.6910E-03 3.1799E-03 2.5079E-03 2.0818E-03 1.4825E-03 1.1622E-03 8.2380E-04 6.4538E-04 5.3386E-04 4.5727E-04 3.5714E-04 2.9384E-04 2.0519E-04 1.5883E-04 1.1043E-04 8.5228E-05 6.9710E-05 5.9080E-05 4.5532E-05 3.7176E-05 2.5692E-05 1.9750E-05 1.3619E-05 1.0459E-05 8.5180E-06 7.1988E-06 5.5189E-06 4.4906E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 9.0875E+03 1.1162E+06 3.8671E+04 7.8584E+03 8.1953E+03 3.9112E+03 1.9893E+03 7.3554E+02 3.5510E+02 2.5388E+02 7.4977E+02 7.0270E+02 6.5866E+02 8.8834E+02 8.3804E+02 7.6164E+02 8.7885E+02 6.1311E+02 2.8862E+02 1.5973E+02 5.3196E+01 2.4035E+01 7.7160E+00 5.8084E+00 3.5083E+01 2.1506E+01 1.1868E+01 7.2083E+00 3.2402E+00 1.7250E+00 5.4193E-01 2.3831E-01 1.2690E-01 1.2690E-01 7.6496E-02 3.5254E-02 2.5956E-02 1.9879E-02 1.5716E-02 1.2737E-02 1.0529E-02 7.5863E-03 6.5961E-03 5.8133E-03 4.6121E-03 4.1204E-03 3.9221E-03 2.6446E-03 2.4607E-03 2.1467E-03 1.8929E-03 1.6870E-03 1.3755E-03 1.1522E-03 1.1114E-03 9.8575E-04 7.5820E-04 6.1121E-04 4.0464E-04 2.9920E-04 2.3608E-04 1.9442E-04 1.6495E-04 1.4307E-04 1.2623E-04 1.1289E-04 1.0207E-04 9.3105E-05 8.5560E-05 7.9153E-05 7.3649E-05 6.4585E-05 5.7514E-05 5.1820E-05 4.7169E-05 4.3269E-05 3.9961E-05 3.7123E-05 2.7381E-05 2.1687E-05 1.7952E-05 1.3349E-05 1.0625E-05 7.0327E-06 5.2579E-06 3.4926E-06 2.6152E-06 2.0899E-06 1.7401E-06 1.3040E-06 1.0426E-06 6.9473E-07 5.2057E-07 3.4708E-07 2.6029E-07 2.0818E-07 1.7349E-07 1.3012E-07 1.0407E-07 6.9378E-08 5.2010E-08 3.4684E-08 2.6014E-08 2.0813E-08 1.7344E-08 1.3007E-08 1.0407E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.8835E-04 2.9210E-04 5.5325E-04 8.7126E-04 1.2331E-03 2.0496E-03 2.9388E-03 3.1391E-03 3.8527E-03 5.6664E-03 7.4076E-03 1.1356E-02 1.4758E-02 1.7691E-02 2.0301E-02 2.2645E-02 2.4776E-02 2.6726E-02 2.8525E-02 3.0190E-02 3.1737E-02 3.3161E-02 3.4485E-02 3.5709E-02 3.7944E-02 3.9952E-02 4.1769E-02 4.3420E-02 4.4930E-02 4.6306E-02 4.7596E-02 5.2721E-02 5.6565E-02 5.9555E-02 6.3921E-02 6.7053E-02 7.2035E-02 7.5025E-02 7.8489E-02 8.0482E-02 8.1763E-02 8.2712E-02 8.3946E-02 8.4753E-02 8.5939E-02 8.6604E-02 8.7268E-02 8.7648E-02 8.7885E-02 8.8027E-02 8.8265E-02 8.8407E-02 8.8597E-02 8.8692E-02 8.8787E-02 8.8834E-02 8.8882E-02 8.8882E-02 8.8929E-02 8.8929E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 9.7091E-08 2.8784E-06 1.0136E-05 4.1337E-05 8.2285E-05 1.2623E-04 1.6998E-04 2.1231E-04 2.5284E-04 2.9127E-04 3.2762E-04 3.6193E-04 3.9420E-04 4.2490E-04 4.5395E-04 4.8166E-04 5.3243E-04 5.7894E-04 6.2165E-04 6.6056E-04 6.9663E-04 7.2984E-04 7.6116E-04 8.8929E-04 9.8657E-04 1.0639E-03 1.1797E-03 1.2642E-03 1.4042E-03 1.4915E-03 1.5987E-03 1.6633E-03 1.7069E-03 1.7392E-03 1.7838E-03 1.8132E-03 1.8569E-03 1.8816E-03 1.9086E-03 1.9243E-03 1.9342E-03 1.9409E-03 1.9499E-03 1.9556E-03 1.9632E-03 1.9679E-03 1.9722E-03 1.9750E-03 1.9765E-03 1.9774E-03 1.9788E-03 1.9798E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Th.mat0000644000276300001750000002241613136054446020337 0ustar solebliss00000000000000Th 1 90 1.000000 12 4 3 5 3 3 3 3 6 3 3 8 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.1683E-03 1.1683E-03 1.2463E-03 1.3295E-03 1.3295E-03 1.5000E-03 2.0000E-03 3.0000E-03 3.3320E-03 3.3320E-03 3.4105E-03 3.4908E-03 3.4908E-03 4.0000E-03 4.0461E-03 4.0461E-03 4.4209E-03 4.8304E-03 4.8304E-03 5.0000E-03 5.1823E-03 5.1823E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.6300E-02 1.6300E-02 1.7917E-02 1.9693E-02 1.9693E-02 2.0000E-02 2.0472E-02 2.0472E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.0965E-01 1.0965E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.3272E+01 5.5091E+01 1.4710E+01 1.3060E+01 1.3060E+01 1.2965E+01 1.2860E+01 1.2860E+01 1.2629E+01 1.1964E+01 1.0706E+01 1.0322E+01 1.0322E+01 1.0233E+01 1.0143E+01 1.0143E+01 9.5897E+00 9.5430E+00 9.5430E+00 9.1671E+00 8.7774E+00 8.7774E+00 8.6243E+00 8.4608E+00 8.4608E+00 7.7886E+00 6.4260E+00 5.3775E+00 3.6386E+00 3.3220E+00 3.3220E+00 2.9799E+00 2.6628E+00 2.6628E+00 2.6135E+00 2.5390E+00 2.5390E+00 1.5388E+00 1.0345E+00 7.4408E-01 5.5903E-01 3.5115E-01 2.4355E-01 2.0864E-01 2.0864E-01 1.2144E-01 7.2669E-02 4.8555E-02 3.4829E-02 2.6233E-02 2.0474E-02 1.6420E-02 1.3459E-02 1.1232E-02 9.5145E-03 8.1626E-03 6.1991E-03 5.4735E-03 4.8686E-03 3.9239E-03 3.5504E-03 3.4025E-03 2.2971E-03 2.1275E-03 1.8396E-03 1.6060E-03 1.4140E-03 1.1206E-03 9.1044E-04 8.7229E-04 7.5455E-04 5.4177E-04 4.0747E-04 2.2974E-04 1.4723E-04 1.0231E-04 7.5212E-05 5.7590E-05 4.5522E-05 3.6880E-05 3.0469E-05 2.5613E-05 2.1824E-05 1.8819E-05 1.6395E-05 1.4409E-05 1.1386E-05 9.2238E-06 7.6225E-06 6.4053E-06 5.4580E-06 4.7053E-06 4.1006E-06 2.3059E-06 1.4760E-06 1.0249E-06 5.7642E-07 3.6905E-07 1.6400E-07 9.2238E-08 4.1006E-08 2.3062E-08 1.4760E-08 1.0249E-08 5.7642E-09 3.6905E-09 1.6400E-09 9.2238E-10 4.1006E-10 2.3062E-10 1.4760E-10 1.0249E-10 5.7642E-11 3.6905E-11 1.6400E-11 9.2238E-12 4.1006E-12 2.3062E-12 1.4760E-12 1.0249E-12 5.7642E-13 3.6905E-13 INCOHERENT SCATTERING CROSS SECTION 4.8065E-03 7.3799E+02 2.9056E-03 5.8706E-03 5.8706E-03 6.3429E-03 6.8413E-03 6.8413E-03 7.8846E-03 1.0859E-02 1.6558E-02 1.8375E-02 1.8375E-02 1.8796E-02 1.9224E-02 1.9224E-02 2.1855E-02 2.2086E-02 2.2086E-02 2.3928E-02 2.5873E-02 2.5873E-02 2.6654E-02 2.7458E-02 2.7458E-02 3.0884E-02 3.8307E-02 4.4821E-02 5.7824E-02 6.0497E-02 6.0497E-02 6.3514E-02 6.6440E-02 6.6440E-02 6.6907E-02 6.7634E-02 6.7634E-02 7.9053E-02 8.6554E-02 9.1122E-02 9.3795E-02 9.5845E-02 9.5741E-02 9.5300E-02 9.5300E-02 9.2108E-02 8.7281E-02 8.2610E-02 7.8405E-02 7.4690E-02 7.1397E-02 6.8459E-02 6.5817E-02 6.3426E-02 6.1250E-02 5.9258E-02 5.5745E-02 5.4190E-02 5.2748E-02 5.0116E-02 4.8896E-02 4.8377E-02 4.3835E-02 4.2980E-02 4.1381E-02 3.9916E-02 3.8571E-02 3.6184E-02 3.4128E-02 3.3713E-02 3.2331E-02 2.9319E-02 2.6888E-02 2.2439E-02 1.9387E-02 1.7140E-02 1.5406E-02 1.4023E-02 1.2891E-02 1.1944E-02 1.1142E-02 1.0449E-02 9.8441E-03 9.3120E-03 8.8423E-03 8.4192E-03 7.6951E-03 7.0982E-03 6.5921E-03 6.1613E-03 5.7850E-03 5.4580E-03 5.1673E-03 4.1058E-03 3.4284E-03 2.9535E-03 2.3290E-03 1.9333E-03 1.3768E-03 1.0794E-03 7.6510E-04 5.9926E-04 4.9597E-04 4.2459E-04 3.3168E-04 2.7277E-04 1.9057E-04 1.4749E-04 1.0254E-04 7.9157E-05 6.4727E-05 5.4891E-05 4.2278E-05 3.4518E-05 2.3859E-05 1.8344E-05 1.2650E-05 9.7117E-06 7.9079E-06 6.6856E-06 5.1258E-06 4.1707E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.5999E+03 4.5009E+05 2.3529E+04 4.9649E+03 5.0349E+03 4.4457E+03 3.9267E+03 4.0046E+03 3.1481E+03 1.7295E+03 7.0723E+02 5.5670E+02 1.3833E+03 1.2967E+03 1.2154E+03 1.7391E+03 1.2434E+03 1.2076E+03 1.4051E+03 1.1256E+03 9.0162E+02 9.5664E+02 8.7904E+02 8.0455E+02 8.3933E+02 5.8680E+02 2.8730E+02 1.6351E+02 5.7720E+01 4.6534E+01 1.1225E+02 8.6779E+01 6.7115E+01 9.5975E+01 9.0992E+01 8.5905E+01 9.9193E+01 3.7295E+01 1.7529E+01 9.6831E+00 5.9381E+00 2.7303E+00 1.4908E+00 1.1609E+00 5.0323E+00 2.2584E+00 1.0739E+00 6.0479E-01 3.8073E-01 2.5925E-01 1.8707E-01 1.4112E-01 1.1022E-01 8.8515E-02 7.2721E-02 6.0889E-02 4.4663E-02 3.8956E-02 3.4319E-02 2.7320E-02 2.4643E-02 2.3597E-02 1.5946E-02 1.4800E-02 1.2877E-02 1.1339E-02 1.0091E-02 8.2031E-03 6.8517E-03 6.6051E-03 5.8443E-03 4.4620E-03 3.5712E-03 2.3322E-03 1.7056E-03 1.3345E-03 1.0913E-03 9.2108E-04 7.9521E-04 6.9892E-04 6.2314E-04 5.6163E-04 5.1128E-04 4.6872E-04 4.3290E-04 4.0202E-04 3.5167E-04 3.1222E-04 2.8081E-04 2.5517E-04 2.3373E-04 2.1559E-04 2.0005E-04 1.4700E-04 1.1611E-04 9.5949E-05 7.1216E-05 5.6604E-05 3.7425E-05 2.7926E-05 1.8544E-05 1.3877E-05 1.1087E-05 9.2316E-06 6.9165E-06 5.5280E-06 3.6828E-06 2.7614E-06 1.8398E-06 1.3797E-06 1.1035E-06 9.1952E-07 6.8958E-07 5.5151E-07 3.6776E-07 2.7588E-07 1.8383E-07 1.3786E-07 1.1030E-07 9.1926E-08 6.8932E-08 5.5151E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.3212E-04 6.8666E-04 1.3382E-03 2.1170E-03 2.9510E-03 4.6229E-03 6.2340E-03 6.5843E-03 7.7894E-03 1.0601E-02 1.3088E-02 1.8432E-02 2.2891E-02 2.6732E-02 3.0106E-02 3.3168E-02 3.5971E-02 3.8541E-02 4.0928E-02 4.3160E-02 4.5236E-02 4.7183E-02 4.9000E-02 5.0713E-02 5.3775E-02 5.6526E-02 5.9044E-02 6.1327E-02 6.3404E-02 6.5324E-02 6.7089E-02 7.4252E-02 7.9599E-02 8.3725E-02 8.9824E-02 9.4106E-02 1.0088E-01 1.0490E-01 1.0960E-01 1.1227E-01 1.1404E-01 1.1531E-01 1.1697E-01 1.1806E-01 1.1964E-01 1.2050E-01 1.2144E-01 1.2193E-01 1.2224E-01 1.2247E-01 1.2276E-01 1.2291E-01 1.2317E-01 1.2330E-01 1.2346E-01 1.2354E-01 1.2359E-01 1.2362E-01 1.2364E-01 1.2367E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0044E-08 2.6678E-06 9.3899E-06 3.8255E-05 7.6069E-05 1.1658E-04 1.5684E-04 1.9571E-04 2.3283E-04 2.6810E-04 3.0106E-04 3.3246E-04 3.6179E-04 3.8956E-04 4.1603E-04 4.4095E-04 4.8688E-04 5.2867E-04 5.6682E-04 6.0160E-04 6.3378E-04 6.6336E-04 6.9087E-04 8.0377E-04 8.8864E-04 9.5534E-04 1.0547E-03 1.1266E-03 1.2439E-03 1.3169E-03 1.4054E-03 1.4581E-03 1.4941E-03 1.5203E-03 1.5567E-03 1.5808E-03 1.6169E-03 1.6371E-03 1.6594E-03 1.6727E-03 1.6807E-03 1.6864E-03 1.6940E-03 1.6989E-03 1.7054E-03 1.7093E-03 1.7127E-03 1.7152E-03 1.7165E-03 1.7173E-03 1.7184E-03 1.7191E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Pt.mat0000644000276300001750000002205213136054446020343 0ustar solebliss00000000000000Pt 1 78 1.000000 10 6 3 3 3 3 7 3 3 8 80 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.1216E-03 2.1216E-03 2.1614E-03 2.2019E-03 2.2019E-03 2.4135E-03 2.6454E-03 2.6454E-03 3.0000E-03 3.0265E-03 3.0265E-03 3.1584E-03 3.2960E-03 3.2960E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.1564E-02 1.1564E-02 1.2389E-02 1.3273E-02 1.3273E-02 1.3573E-02 1.3880E-02 1.3880E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 7.8395E-02 7.8395E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.2061E+01 4.6010E+01 1.3160E+01 1.1601E+01 1.1061E+01 1.0919E+01 1.0919E+01 1.0873E+01 1.0826E+01 1.0826E+01 1.0588E+01 1.0329E+01 1.0329E+01 9.9216E+00 9.8908E+00 9.8908E+00 9.7419E+00 9.5913E+00 9.5913E+00 8.8412E+00 7.8873E+00 7.0600E+00 5.7387E+00 4.7416E+00 4.1242E+00 4.1242E+00 3.8375E+00 3.5624E+00 3.5624E+00 3.4768E+00 3.3926E+00 3.3926E+00 3.1086E+00 2.1912E+00 1.2941E+00 8.5911E-01 6.0907E-01 4.5564E-01 2.9617E-01 2.9617E-01 2.8647E-01 1.9738E-01 9.6901E-02 5.7758E-02 3.8486E-02 2.7505E-02 2.0629E-02 1.6037E-02 1.2820E-02 1.0480E-02 8.7278E-03 7.3810E-03 6.3238E-03 4.7917E-03 4.2261E-03 3.7548E-03 3.0207E-03 2.7317E-03 2.6175E-03 1.7621E-03 1.6309E-03 1.4088E-03 1.2292E-03 1.0822E-03 8.5738E-04 6.9519E-04 6.6556E-04 5.7465E-04 4.1224E-04 3.1024E-04 1.7479E-04 1.1193E-04 7.7762E-05 5.7141E-05 4.3774E-05 3.4574E-05 2.8015E-05 2.3153E-05 1.9457E-05 1.6580E-05 1.4296E-05 1.2453E-05 1.0947E-05 8.6498E-06 7.0044E-06 5.7881E-06 4.8651E-06 4.1459E-06 3.5748E-06 3.1148E-06 1.7516E-06 1.1209E-06 7.7854E-07 4.3774E-07 2.8024E-07 1.2456E-07 7.0044E-08 3.1148E-08 1.7516E-08 1.1209E-08 7.7854E-09 4.3774E-09 2.8024E-09 1.2456E-09 7.0044E-10 3.1148E-10 1.7516E-10 1.1209E-10 7.7854E-11 4.3774E-11 2.8024E-11 1.2456E-11 7.0044E-12 3.1148E-12 1.7516E-12 1.1209E-12 7.7854E-13 4.3774E-13 2.8024E-13 INCOHERENT SCATTERING CROSS SECTION 3.3679E-03 2.6946E-03 1.2564E-03 6.2111E-03 9.1283E-03 9.8352E-03 9.8352E-03 1.0066E-02 1.0301E-02 1.0301E-02 1.1509E-02 1.2817E-02 1.2817E-02 1.4805E-02 1.4950E-02 1.4950E-02 1.5670E-02 1.6417E-02 1.6417E-02 2.0171E-02 2.5298E-02 3.0194E-02 3.9051E-02 4.6490E-02 5.1460E-02 5.1460E-02 5.3776E-02 5.6122E-02 5.6122E-02 5.6905E-02 5.7696E-02 5.7696E-02 6.0444E-02 7.0600E-02 8.4368E-02 9.2332E-02 9.6809E-02 9.9278E-02 1.0101E-01 1.0101E-01 1.0104E-01 1.0064E-01 9.6284E-02 9.0912E-02 8.5862E-02 8.1374E-02 7.7433E-02 7.3965E-02 7.0891E-02 6.8130E-02 6.5626E-02 6.3345E-02 6.1261E-02 5.7591E-02 5.5967E-02 5.4463E-02 5.1745E-02 5.0503E-02 4.9979E-02 4.5256E-02 4.4362E-02 4.2698E-02 4.1181E-02 3.9791E-02 3.7324E-02 3.5192E-02 3.4760E-02 3.3327E-02 3.0223E-02 2.7724E-02 2.3137E-02 1.9988E-02 1.7670E-02 1.5883E-02 1.4456E-02 1.3290E-02 1.2314E-02 1.1487E-02 1.0771E-02 1.0147E-02 9.6006E-03 9.1159E-03 8.6807E-03 7.9336E-03 7.3162E-03 6.7945E-03 6.3500E-03 5.9641E-03 5.6245E-03 5.3282E-03 4.2323E-03 3.5346E-03 3.0444E-03 2.4011E-03 1.9927E-03 1.4191E-03 1.1129E-03 7.8873E-04 6.1771E-04 5.1121E-04 4.3774E-04 3.4204E-04 2.8129E-04 1.9646E-04 1.5204E-04 1.0573E-04 8.1590E-05 6.6710E-05 5.6585E-05 4.3589E-05 3.5593E-05 2.4594E-05 1.8908E-05 1.3040E-05 1.0011E-05 8.1528E-06 6.8902E-06 5.2850E-06 4.3002E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 4.4206E+03 4.2981E+05 1.7536E+04 1.9748E+03 1.0693E+03 9.3969E+02 1.0187E+03 1.5289E+03 2.2933E+03 2.4409E+03 2.3664E+03 2.2946E+03 2.6505E+03 1.9553E+03 1.9133E+03 2.0313E+03 1.8366E+03 1.6608E+03 1.7321E+03 1.0913E+03 6.3222E+02 4.0100E+02 1.9294E+02 1.0845E+02 7.4273E+01 1.9047E+02 1.5814E+02 1.3132E+02 1.8176E+02 1.7221E+02 1.6315E+02 1.8862E+02 1.5460E+02 7.3471E+01 2.5036E+01 1.1496E+01 6.2481E+00 3.7847E+00 1.8062E+00 8.9832E+00 8.3442E+00 4.6953E+00 1.6015E+00 7.4088E-01 4.0961E-01 2.5357E-01 1.7049E-01 1.2178E-01 9.1059E-02 7.0600E-02 5.6369E-02 4.6089E-02 3.8428E-02 2.8001E-02 2.4366E-02 2.1428E-02 1.7017E-02 1.5333E-02 1.4676E-02 9.9000E-03 9.1908E-03 8.0029E-03 7.0538E-03 6.2829E-03 5.1122E-03 4.2693E-03 4.1150E-03 3.6407E-03 2.7852E-03 2.2350E-03 1.4651E-03 1.0749E-03 8.4306E-04 6.9087E-04 5.8375E-04 5.0473E-04 4.4422E-04 3.9637E-04 3.5748E-04 3.2568E-04 2.9888E-04 2.7610E-04 2.5650E-04 2.2455E-04 1.9964E-04 1.7963E-04 1.6327E-04 1.4963E-04 1.3805E-04 1.2814E-04 9.4277E-05 7.4520E-05 6.1617E-05 4.5749E-05 3.6396E-05 2.4060E-05 1.7973E-05 1.1931E-05 8.9307E-06 7.1372E-06 5.9425E-06 4.4515E-06 3.5593E-06 2.3708E-06 1.7775E-06 1.1845E-06 8.8813E-07 7.1032E-07 5.9209E-07 4.4391E-07 3.5501E-07 2.3674E-07 1.7753E-07 1.1836E-07 8.8752E-08 7.1001E-08 5.9178E-08 4.4391E-08 3.5501E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5099E-04 5.5057E-04 1.0548E-03 1.6571E-03 2.3131E-03 3.6824E-03 5.0658E-03 5.3714E-03 6.4353E-03 8.9899E-03 1.1317E-02 1.6429E-02 2.0711E-02 2.4394E-02 2.7638E-02 3.0558E-02 3.3216E-02 3.5655E-02 3.7908E-02 4.0008E-02 4.1983E-02 4.3835E-02 4.5533E-02 4.7139E-02 5.0010E-02 5.2572E-02 5.4918E-02 5.7048E-02 5.8962E-02 6.0752E-02 6.2388E-02 6.9087E-02 7.4057E-02 7.7916E-02 8.3596E-02 8.7578E-02 9.3876E-02 9.7611E-02 1.0196E-01 1.0443E-01 1.0607E-01 1.0721E-01 1.0876E-01 1.0974E-01 1.1119E-01 1.1197E-01 1.1283E-01 1.1326E-01 1.1357E-01 1.1376E-01 1.1403E-01 1.1419E-01 1.1440E-01 1.1453E-01 1.1468E-01 1.1474E-01 1.1477E-01 1.1481E-01 1.1484E-01 1.1487E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2841E-08 2.7516E-06 9.6870E-06 3.9483E-05 7.8534E-05 1.2039E-04 1.6201E-04 2.0223E-04 2.4066E-04 2.7709E-04 3.1148E-04 3.4389E-04 3.7445E-04 4.0316E-04 4.3064E-04 4.5657E-04 5.0442E-04 5.4794E-04 5.8777E-04 6.2419E-04 6.5753E-04 6.8840E-04 7.1711E-04 8.3534E-04 9.2425E-04 9.9433E-04 1.0987E-03 1.1737E-03 1.2965E-03 1.3725E-03 1.4642E-03 1.5185E-03 1.5552E-03 1.5821E-03 1.6188E-03 1.6429E-03 1.6787E-03 1.6991E-03 1.7210E-03 1.7340E-03 1.7417E-03 1.7472E-03 1.7543E-03 1.7590E-03 1.7652E-03 1.7689E-03 1.7723E-03 1.7744E-03 1.7760E-03 1.7766E-03 1.7775E-03 1.7784E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Os.mat0000644000276300001750000002174213136054446020346 0ustar solebliss00000000000000Os 1 76 1.000000 10 5 3 3 3 3 7 3 3 8 80 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 1.9601E-03 1.9601E-03 2.0000E-03 2.0308E-03 2.0308E-03 2.2338E-03 2.4572E-03 2.4572E-03 2.6193E-03 2.7922E-03 2.7922E-03 3.0000E-03 3.0485E-03 3.0485E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.0871E-02 1.0871E-02 1.1603E-02 1.2385E-02 1.2385E-02 1.2673E-02 1.2968E-02 1.2968E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 7.3871E-02 7.3871E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.1696E+01 4.8962E+01 1.2848E+01 1.1215E+01 1.0718E+01 1.0718E+01 1.0673E+01 1.0638E+01 1.0638E+01 1.0416E+01 1.0173E+01 1.0173E+01 9.9919E+00 9.7994E+00 9.7994E+00 9.5715E+00 9.5176E+00 9.5176E+00 8.5488E+00 7.6401E+00 6.8454E+00 5.5567E+00 4.5783E+00 4.2269E+00 4.2269E+00 3.9622E+00 3.6981E+00 3.6981E+00 3.6040E+00 3.5113E+00 3.5113E+00 2.9848E+00 2.1039E+00 1.2437E+00 8.2290E-01 5.8258E-01 4.3599E-01 3.1241E-01 3.1241E-01 2.7413E-01 1.8858E-01 9.2422E-02 5.5060E-02 3.6667E-02 2.6188E-02 1.9628E-02 1.5252E-02 1.2188E-02 9.9609E-03 8.2919E-03 7.0100E-03 6.0045E-03 4.5487E-03 4.0116E-03 3.5640E-03 2.8666E-03 2.5919E-03 2.4833E-03 1.6711E-03 1.5467E-03 1.3360E-03 1.1655E-03 1.0256E-03 8.1207E-04 6.5889E-04 6.3103E-04 5.4525E-04 3.9099E-04 2.9395E-04 1.6559E-04 1.0604E-04 7.3678E-05 5.4142E-05 4.1446E-05 3.2770E-05 2.6539E-05 2.1936E-05 1.8431E-05 1.5704E-05 1.3542E-05 1.1797E-05 1.0369E-05 8.1942E-06 6.6364E-06 5.4839E-06 4.6100E-06 3.9261E-06 3.3847E-06 2.9496E-06 1.6591E-06 1.0619E-06 7.3741E-07 4.1477E-07 2.6546E-07 1.1797E-07 6.6364E-08 2.9496E-08 1.6591E-08 1.0619E-08 7.3741E-09 4.1477E-09 2.6546E-09 1.1797E-09 6.6364E-10 2.9496E-10 1.6591E-10 1.0619E-10 7.3741E-11 4.1477E-11 2.6546E-11 1.1797E-11 6.6364E-12 2.9496E-12 1.6591E-12 1.0619E-12 7.3741E-13 4.1477E-13 2.6546E-13 INCOHERENT SCATTERING CROSS SECTION 4.0464E-03 8.9474E-03 1.6524E-03 7.1366E-03 9.8659E-03 9.8659E-03 1.0100E-02 1.0281E-02 1.0281E-02 1.1451E-02 1.2716E-02 1.2716E-02 1.3632E-02 1.4603E-02 1.4603E-02 1.5758E-02 1.6027E-02 1.6027E-02 2.1157E-02 2.6286E-02 3.1140E-02 3.9831E-02 4.7082E-02 4.9900E-02 4.9900E-02 5.2157E-02 5.4364E-02 5.4364E-02 5.5108E-02 5.5852E-02 5.5852E-02 6.0950E-02 7.1208E-02 8.5044E-02 9.2928E-02 9.7329E-02 9.9736E-02 1.0119E-01 1.0119E-01 1.0141E-01 1.0094E-01 9.6443E-02 9.0997E-02 8.5926E-02 8.1435E-02 7.7487E-02 7.3994E-02 7.0882E-02 6.8105E-02 6.5617E-02 6.3356E-02 6.1279E-02 5.7604E-02 5.5979E-02 5.4473E-02 5.1736E-02 5.0469E-02 4.9931E-02 4.5213E-02 4.4326E-02 4.2669E-02 4.1161E-02 3.9784E-02 3.7334E-02 3.5177E-02 3.4733E-02 3.3277E-02 3.0182E-02 2.7708E-02 2.3123E-02 1.9976E-02 1.7658E-02 1.5872E-02 1.4447E-02 1.3282E-02 1.2307E-02 1.1478E-02 1.0765E-02 1.0141E-02 9.5936E-03 9.1092E-03 8.6754E-03 7.9282E-03 7.3108E-03 6.7915E-03 6.3451E-03 5.9588E-03 5.6232E-03 5.3224E-03 4.2301E-03 3.5303E-03 3.0424E-03 2.3994E-03 1.9915E-03 1.4181E-03 1.1120E-03 7.8807E-04 6.1741E-04 5.1103E-04 4.3757E-04 3.4163E-04 2.8113E-04 1.9634E-04 1.5195E-04 1.0566E-04 8.1562E-05 6.6680E-05 5.6549E-05 4.3567E-05 3.5557E-05 2.4579E-05 1.8896E-05 1.3032E-05 1.0005E-05 8.1467E-06 6.8865E-06 5.2812E-06 4.2966E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 4.0211E+03 3.9712E+05 1.6020E+04 1.7902E+03 1.0122E+03 1.0439E+03 2.2075E+03 2.5817E+03 2.8258E+03 2.6757E+03 2.5336E+03 2.9354E+03 2.5131E+03 2.1518E+03 2.2863E+03 1.9289E+03 1.8592E+03 1.9390E+03 1.0141E+03 5.8575E+02 3.7076E+02 1.7800E+02 9.9862E+01 8.0295E+01 2.0780E+02 1.7451E+02 1.4656E+02 2.0232E+02 1.9137E+02 1.8104E+02 2.0932E+02 1.4476E+02 6.8200E+01 2.3104E+01 1.0578E+01 5.7340E+00 3.4670E+00 1.9463E+00 9.7456E+00 7.9124E+00 4.4074E+00 1.4907E+00 6.8675E-01 3.7799E-01 2.3373E-01 1.5689E-01 1.1186E-01 8.3528E-02 6.4686E-02 5.1588E-02 4.2142E-02 3.5118E-02 2.5573E-02 2.2246E-02 1.9557E-02 1.5523E-02 1.3988E-02 1.3390E-02 9.0300E-03 8.3837E-03 7.3023E-03 6.4369E-03 5.7316E-03 4.6603E-03 3.8944E-03 3.7551E-03 3.3255E-03 2.5451E-03 2.0416E-03 1.3393E-03 9.8311E-04 7.7129E-04 6.3229E-04 5.3446E-04 4.6227E-04 4.0686E-04 3.6316E-04 3.2770E-04 2.9845E-04 2.7391E-04 2.5308E-04 2.3512E-04 2.0587E-04 1.8304E-04 1.6474E-04 1.4973E-04 1.3722E-04 1.2662E-04 1.1756E-04 8.6501E-05 6.8390E-05 5.6549E-05 4.1984E-05 3.3404E-05 2.2084E-05 1.6496E-05 1.0955E-05 8.1973E-06 6.5509E-06 5.4554E-06 4.0876E-06 3.2675E-06 2.1765E-06 1.6319E-06 1.0873E-06 8.1530E-07 6.5224E-07 5.4332E-07 4.0749E-07 3.2612E-07 2.1733E-07 1.6300E-07 1.0866E-07 8.1498E-08 6.5192E-08 5.4332E-08 4.0749E-08 3.2580E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3530E-04 5.2509E-04 1.0039E-03 1.5765E-03 2.2026E-03 3.5186E-03 4.8538E-03 5.1483E-03 6.1760E-03 8.6641E-03 1.0949E-02 1.5980E-02 2.0194E-02 2.3816E-02 2.7011E-02 2.9883E-02 3.2485E-02 3.4892E-02 3.7108E-02 3.9198E-02 4.1129E-02 4.2934E-02 4.4612E-02 4.6163E-02 4.9013E-02 5.1514E-02 5.3794E-02 5.5884E-02 5.7783E-02 5.9525E-02 6.1140E-02 6.7725E-02 7.2570E-02 7.6369E-02 8.1942E-02 8.5836E-02 9.2042E-02 9.5683E-02 9.9957E-02 1.0240E-01 1.0398E-01 1.0512E-01 1.0664E-01 1.0762E-01 1.0901E-01 1.0977E-01 1.1063E-01 1.1107E-01 1.1136E-01 1.1155E-01 1.1180E-01 1.1196E-01 1.1218E-01 1.1231E-01 1.1243E-01 1.1250E-01 1.1253E-01 1.1256E-01 1.1259E-01 1.1262E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2854E-08 2.7510E-06 9.6823E-06 3.9451E-05 7.8490E-05 1.2035E-04 1.6195E-04 2.0219E-04 2.4063E-04 2.7704E-04 3.1146E-04 3.4385E-04 3.7425E-04 4.0338E-04 4.3060E-04 4.5657E-04 5.0469E-04 5.4807E-04 5.8797E-04 6.2438E-04 6.5794E-04 6.8897E-04 7.1778E-04 8.3620E-04 9.2517E-04 9.9546E-04 1.0999E-03 1.1756E-03 1.2988E-03 1.3754E-03 1.4679E-03 1.5226E-03 1.5600E-03 1.5872E-03 1.6246E-03 1.6496E-03 1.6863E-03 1.7069E-03 1.7294E-03 1.7430E-03 1.7509E-03 1.7566E-03 1.7642E-03 1.7690E-03 1.7753E-03 1.7791E-03 1.7826E-03 1.7851E-03 1.7864E-03 1.7873E-03 1.7883E-03 1.7889E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Zr.mat0000644000276300001750000002005013136054446020347 0ustar solebliss00000000000000Zr 1 40 1.000000 5 6 3 3 9 85 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.2223E-03 2.2223E-03 2.2641E-03 2.3067E-03 2.3067E-03 2.4165E-03 2.5316E-03 2.5316E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.7998E-02 1.7998E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 6.5467E+00 4.0957E+01 7.5353E+00 6.1255E+00 5.7050E+00 5.5235E+00 5.5235E+00 5.4898E+00 5.4561E+00 5.4561E+00 5.3740E+00 5.2904E+00 5.2904E+00 4.9439E+00 4.2969E+00 3.7576E+00 3.3139E+00 2.6406E+00 2.1501E+00 1.3533E+00 1.0635E+00 1.0635E+00 9.2223E-01 5.2145E-01 3.3839E-01 2.3580E-01 1.7349E-01 1.0576E-01 7.1626E-02 3.4565E-02 2.0234E-02 1.3250E-02 9.3411E-03 6.9374E-03 5.3545E-03 4.2566E-03 3.4638E-03 2.8727E-03 2.4208E-03 2.0679E-03 1.5591E-03 1.3718E-03 1.2159E-03 9.7463E-04 8.8064E-04 8.4367E-04 5.6522E-04 5.2270E-04 4.5093E-04 3.9299E-04 3.4548E-04 2.7306E-04 2.2135E-04 2.1197E-04 1.8310E-04 1.3115E-04 9.8494E-05 5.5413E-05 3.5470E-05 2.4637E-05 1.8101E-05 1.3857E-05 1.0952E-05 8.8724E-06 7.3276E-06 6.1598E-06 5.2482E-06 4.5253E-06 3.9424E-06 3.4651E-06 2.7376E-06 2.2174E-06 1.8326E-06 1.5401E-06 1.3124E-06 1.1315E-06 9.8560E-07 5.5439E-07 3.5483E-07 2.4637E-07 1.3857E-07 8.8724E-08 3.9424E-08 2.2174E-08 9.8560E-09 5.5433E-09 3.5476E-09 2.4637E-09 1.3857E-09 8.8724E-10 3.9424E-10 2.2174E-10 9.8560E-11 5.5433E-11 3.5476E-11 2.4637E-11 1.3857E-11 8.8724E-12 3.9424E-12 2.2174E-12 9.8560E-13 5.5433E-13 3.5476E-13 2.4637E-13 1.3857E-13 8.8724E-14 INCOHERENT SCATTERING CROSS SECTION 8.1000E-03 1.8870E-02 3.6773E-03 1.3381E-02 1.8141E-02 2.0174E-02 2.0174E-02 2.0555E-02 2.0940E-02 2.0940E-02 2.1913E-02 2.2914E-02 2.2914E-02 2.6914E-02 3.4843E-02 4.2065E-02 4.8607E-02 5.9625E-02 6.8457E-02 8.4961E-02 9.2355E-02 9.2355E-02 9.6448E-02 1.1005E-01 1.1685E-01 1.2015E-01 1.2140E-01 1.2074E-01 1.1836E-01 1.1064E-01 1.0331E-01 9.6900E-02 9.1365E-02 8.6586E-02 8.2452E-02 7.8849E-02 7.5653E-02 7.2778E-02 7.0174E-02 6.7801E-02 6.3633E-02 6.1790E-02 6.0082E-02 5.7014E-02 5.5631E-02 5.5050E-02 4.9788E-02 4.8797E-02 4.6956E-02 4.5280E-02 4.3743E-02 4.1016E-02 3.8665E-02 3.8190E-02 3.6612E-02 3.3188E-02 3.0433E-02 2.5389E-02 2.1930E-02 1.9382E-02 1.7421E-02 1.5857E-02 1.4576E-02 1.3507E-02 1.2596E-02 1.1817E-02 1.1130E-02 1.0529E-02 9.9946E-03 9.5193E-03 8.7008E-03 8.0208E-03 7.4531E-03 6.9646E-03 6.5401E-03 6.1691E-03 5.8417E-03 4.6422E-03 3.8751E-03 3.3390E-03 2.6333E-03 2.1858E-03 1.5566E-03 1.2200E-03 8.6479E-04 6.7731E-04 5.6073E-04 4.8013E-04 3.7496E-04 3.0849E-04 2.1541E-04 1.6675E-04 1.1592E-04 8.9516E-05 7.3144E-05 6.2047E-05 4.7801E-05 3.9028E-05 2.6974E-05 2.0735E-05 1.4299E-05 1.0978E-05 8.9384E-06 7.5587E-06 5.7948E-06 4.7148E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 4.2032E+03 9.2819E+05 2.1342E+04 1.6253E+03 8.0604E+02 6.2028E+02 2.3858E+03 2.2458E+03 2.1145E+03 2.9476E+03 2.6336E+03 2.3534E+03 2.6855E+03 1.7672E+03 8.4631E+02 4.7181E+02 2.9014E+02 1.3295E+02 7.1956E+01 2.3184E+01 1.3857E+01 9.3543E+01 7.1362E+01 2.4221E+01 1.0932E+01 5.8179E+00 3.4486E+00 1.4946E+00 7.7567E-01 2.3382E-01 1.0014E-01 5.2309E-02 3.1073E-02 2.0199E-02 1.4035E-02 1.0264E-02 7.8162E-03 6.1490E-03 4.9623E-03 4.0884E-03 2.9337E-03 2.5488E-03 2.2460E-03 1.7806E-03 1.5883E-03 1.5104E-03 1.0193E-03 9.4923E-04 8.2931E-04 7.3210E-04 6.5304E-04 5.3341E-04 4.4791E-04 4.3233E-04 3.8423E-04 2.9656E-04 2.3977E-04 1.5995E-04 1.1889E-04 9.4203E-05 7.7765E-05 6.6147E-05 5.7519E-05 5.0838E-05 4.5530E-05 4.1213E-05 3.7635E-05 3.4625E-05 3.2057E-05 2.9839E-05 2.6208E-05 2.3363E-05 2.1072E-05 1.9184E-05 1.7613E-05 1.6273E-05 1.5124E-05 1.1176E-05 8.8592E-06 7.3408E-06 5.4621E-06 4.3497E-06 2.8822E-06 2.1547E-06 1.4319E-06 1.0721E-06 8.5687E-07 7.1362E-07 5.3492E-07 4.2778E-07 2.8499E-07 2.1369E-07 1.4239E-07 1.0681E-07 8.5423E-08 7.1164E-08 5.3380E-08 4.2705E-08 2.8466E-08 2.1349E-08 1.4233E-08 1.0675E-08 8.5423E-09 7.1164E-09 5.3373E-09 4.2698E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2411E-04 1.9394E-04 3.7269E-04 5.9532E-04 8.5460E-04 1.4574E-03 2.1303E-03 2.2828E-03 2.8316E-03 4.2600E-03 5.6601E-03 8.8658E-03 1.1665E-02 1.4107E-02 1.6292E-02 1.8253E-02 2.0036E-02 2.1666E-02 2.3158E-02 2.4531E-02 2.5792E-02 2.6954E-02 2.8036E-02 2.9053E-02 3.0902E-02 3.2559E-02 3.4070E-02 3.5437E-02 3.6691E-02 3.7833E-02 3.8889E-02 4.3187E-02 4.6369E-02 4.8844E-02 5.2508E-02 5.5116E-02 5.9255E-02 6.1737E-02 6.4622E-02 6.6279E-02 6.7401E-02 6.8193E-02 6.9183E-02 6.9910E-02 7.0834E-02 7.1428E-02 7.1956E-02 7.2286E-02 7.2484E-02 7.2616E-02 7.2814E-02 7.2880E-02 7.3078E-02 7.3144E-02 7.3210E-02 7.3276E-02 7.3342E-02 7.3342E-02 7.3342E-02 7.3342E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0193E-07 3.0230E-06 1.0648E-05 4.3451E-05 8.6545E-05 1.3276E-04 1.7883E-04 2.2353E-04 2.6624E-04 3.0684E-04 3.4532E-04 3.8157E-04 4.1576E-04 4.4831E-04 4.7914E-04 5.0845E-04 5.6271E-04 6.1216E-04 6.5744E-04 6.9910E-04 7.3739E-04 7.7303E-04 8.0670E-04 9.4401E-04 1.0490E-03 1.1322E-03 1.2576E-03 1.3493E-03 1.5018E-03 1.5982E-03 1.7164E-03 1.7883E-03 1.8379E-03 1.8742E-03 1.9243E-03 1.9580E-03 2.0088E-03 2.0379E-03 2.0702E-03 2.0887E-03 2.1006E-03 2.1085E-03 2.1191E-03 2.1263E-03 2.1356E-03 2.1409E-03 2.1461E-03 2.1501E-03 2.1521E-03 2.1534E-03 2.1547E-03 2.1554E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Sr.mat0000644000276300001750000001774013136054446020354 0ustar solebliss00000000000000Sr 1 38 1.000000 5 5 3 3 9 85 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 1.9396E-03 1.9396E-03 2.0000E-03 2.0068E-03 2.0068E-03 2.1090E-03 2.2163E-03 2.2163E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.6105E-02 1.6105E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 6.1197E+00 2.7283E+01 6.9893E+00 5.7314E+00 5.4015E+00 5.4015E+00 5.3561E+00 5.3513E+00 5.3513E+00 5.2769E+00 5.1974E+00 5.1974E+00 4.6682E+00 4.0633E+00 3.5547E+00 3.1362E+00 2.4922E+00 2.0138E+00 1.2488E+00 1.1395E+00 1.1395E+00 8.4950E-01 4.8104E-01 3.1045E-01 2.1554E-01 1.5842E-01 9.6566E-02 6.5390E-02 3.1478E-02 1.8399E-02 1.2038E-02 8.4813E-03 6.2962E-03 4.8578E-03 3.8606E-03 3.1410E-03 2.6047E-03 2.1946E-03 1.8741E-03 1.4122E-03 1.2426E-03 1.1017E-03 8.8338E-04 7.9796E-04 7.6428E-04 5.1183E-04 4.7332E-04 4.0829E-04 3.5582E-04 3.1284E-04 2.4732E-04 2.0042E-04 1.9189E-04 1.6569E-04 1.1866E-04 8.9143E-05 5.0159E-05 3.2111E-05 2.2296E-05 1.6385E-05 1.2543E-05 9.9109E-06 8.0277E-06 6.6352E-06 5.5754E-06 4.7506E-06 4.0963E-06 3.5685E-06 3.1362E-06 2.4784E-06 2.0069E-06 1.6591E-06 1.3938E-06 1.1877E-06 1.0241E-06 8.9212E-07 5.0180E-07 3.2118E-07 2.2303E-07 1.2543E-07 8.0277E-08 3.5685E-08 2.0069E-08 8.9212E-09 5.0180E-09 3.2111E-09 2.2303E-09 1.2543E-09 8.0277E-10 3.5685E-10 2.0069E-10 8.9212E-11 5.0180E-11 3.2111E-11 2.2303E-11 1.2543E-11 8.0277E-12 3.5685E-12 2.0069E-12 8.9212E-13 5.0180E-13 3.2111E-13 2.2303E-13 1.2543E-13 8.0277E-14 INCOHERENT SCATTERING CROSS SECTION 8.4057E-03 7.6463E-03 3.9993E-03 1.3341E-02 1.7354E-02 1.7354E-02 1.7897E-02 1.7959E-02 1.7959E-02 1.8878E-02 1.9829E-02 1.9829E-02 2.6578E-02 3.4551E-02 4.1815E-02 4.8290E-02 5.9115E-02 6.7947E-02 8.4813E-02 8.7768E-02 8.7768E-02 9.6428E-02 1.1004E-01 1.1664E-01 1.1973E-01 1.2083E-01 1.2000E-01 1.1753E-01 1.0976E-01 1.0241E-01 9.5961E-02 9.0449E-02 8.5741E-02 8.1651E-02 7.8046E-02 7.4847E-02 7.1992E-02 6.9417E-02 6.7075E-02 6.2958E-02 6.1135E-02 5.9446E-02 5.6406E-02 5.5032E-02 5.4455E-02 4.9252E-02 4.8272E-02 4.6452E-02 4.4791E-02 4.3267E-02 4.0563E-02 3.8241E-02 3.7774E-02 3.6220E-02 3.2833E-02 3.0104E-02 2.5114E-02 2.1691E-02 1.9176E-02 1.7231E-02 1.5684E-02 1.4420E-02 1.3361E-02 1.2461E-02 1.1684E-02 1.1011E-02 1.0413E-02 9.8903E-03 9.4160E-03 8.6050E-03 7.9383E-03 7.3747E-03 6.8868E-03 6.4682E-03 6.1019E-03 5.7781E-03 4.5912E-03 3.8324E-03 3.3025E-03 2.6042E-03 2.1616E-03 1.5396E-03 1.2069E-03 8.5569E-04 6.6998E-04 5.5458E-04 4.7486E-04 3.7087E-04 3.0509E-04 2.1306E-04 1.6488E-04 1.1464E-04 8.8524E-05 7.2373E-05 6.1369E-05 4.7279E-05 3.8606E-05 2.6681E-05 2.0509E-05 1.4145E-05 1.0859E-05 8.8456E-06 7.4778E-06 5.7321E-06 4.6633E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 3.4874E+03 7.9378E+05 1.7867E+04 1.3409E+03 7.1548E+02 2.8578E+03 2.5843E+03 2.5664E+03 3.5726E+03 3.1838E+03 2.8372E+03 3.2358E+03 1.5210E+03 7.2579E+02 4.0221E+02 2.4640E+02 1.1244E+02 6.0654E+01 1.9458E+01 1.5911E+01 1.0962E+02 6.2916E+01 2.0970E+01 9.3885E+00 4.9699E+00 2.9348E+00 1.2646E+00 6.5362E-01 1.9567E-01 8.3438E-02 4.3453E-02 2.5760E-02 1.6720E-02 1.1602E-02 8.4721E-03 6.4448E-03 5.0671E-03 4.0874E-03 3.3658E-03 2.4135E-03 2.0970E-03 1.8484E-03 1.4657E-03 1.3066E-03 1.2420E-03 8.3851E-04 7.8108E-04 6.8256E-04 6.0263E-04 5.3766E-04 4.3935E-04 3.6894E-04 3.5609E-04 3.1648E-04 2.4451E-04 1.9787E-04 1.3210E-04 9.8284E-05 7.7940E-05 6.4400E-05 5.4805E-05 4.7657E-05 4.2132E-05 3.7740E-05 3.4173E-05 3.1210E-05 2.8715E-05 2.6592E-05 2.4757E-05 2.1746E-05 1.9389E-05 1.7492E-05 1.5932E-05 1.4619E-05 1.3512E-05 1.2557E-05 9.2854E-06 7.3610E-06 6.0977E-06 4.5389E-06 3.6145E-06 2.3952E-06 1.7911E-06 1.1904E-06 8.9143E-07 7.1273E-07 5.9342E-07 4.4468E-07 3.5561E-07 2.3691E-07 1.7767E-07 1.1842E-07 8.8799E-08 7.0998E-08 5.9177E-08 4.4379E-08 3.5499E-08 2.3664E-08 1.7746E-08 1.1835E-08 8.8731E-09 7.0998E-09 5.9163E-09 4.4372E-09 3.5499E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1327E-04 1.7734E-04 3.4197E-04 5.4785E-04 7.8847E-04 1.3501E-03 1.9781E-03 2.1203E-03 2.6331E-03 3.9724E-03 5.2895E-03 8.3095E-03 1.0956E-02 1.3272E-02 1.5341E-02 1.7196E-02 1.8887E-02 2.0427E-02 2.1836E-02 2.3128E-02 2.4324E-02 2.5416E-02 2.6440E-02 2.7396E-02 2.9142E-02 3.0709E-02 3.2138E-02 3.3430E-02 3.4613E-02 3.5698E-02 3.6695E-02 4.0764E-02 4.3781E-02 4.6132E-02 4.9609E-02 5.2077E-02 5.6008E-02 5.8352E-02 6.1087E-02 6.2661E-02 6.3692E-02 6.4435E-02 6.5424E-02 6.6063E-02 6.6991E-02 6.7493E-02 6.8036E-02 6.8332E-02 6.8517E-02 6.8648E-02 6.8799E-02 6.8936E-02 6.9074E-02 6.9143E-02 6.9211E-02 6.9280E-02 6.9280E-02 6.9349E-02 6.9349E-02 6.9349E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0087E-07 2.9914E-06 1.0536E-05 4.2984E-05 8.5569E-05 1.3134E-04 1.7698E-04 2.2117E-04 2.6344E-04 3.0365E-04 3.4173E-04 3.7760E-04 4.1149E-04 4.4372E-04 4.7424E-04 5.0331E-04 5.5713E-04 6.0613E-04 6.5101E-04 6.9211E-04 7.3060E-04 7.6565E-04 7.9864E-04 9.3542E-04 1.0399E-03 1.1224E-03 1.2475E-03 1.3382E-03 1.4901E-03 1.5856E-03 1.7038E-03 1.7746E-03 1.8241E-03 1.8598E-03 1.9100E-03 1.9437E-03 1.9945E-03 2.0234E-03 2.0550E-03 2.0736E-03 2.0853E-03 2.0935E-03 2.1045E-03 2.1114E-03 2.1210E-03 2.1265E-03 2.1320E-03 2.1354E-03 2.1375E-03 2.1389E-03 2.1403E-03 2.1409E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Hf.mat0000644000276300001750000002174213136054446020322 0ustar solebliss00000000000000Hf 1 72 1.000000 10 5 3 3 3 3 7 3 3 8 80 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 1.6617E-03 1.6617E-03 1.6888E-03 1.7164E-03 1.7164E-03 2.0000E-03 2.1076E-03 2.1076E-03 2.2328E-03 2.3654E-03 2.3654E-03 2.4804E-03 2.6009E-03 2.6009E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 9.5607E-03 9.5607E-03 1.0000E-02 1.0739E-02 1.0739E-02 1.1002E-02 1.1271E-02 1.1271E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 6.5351E-02 6.5351E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.1134E+01 5.1636E+01 1.2286E+01 1.0658E+01 1.0490E+01 1.0490E+01 1.0461E+01 1.0432E+01 1.0432E+01 1.0145E+01 1.0031E+01 1.0031E+01 9.8945E+00 9.7574E+00 9.7574E+00 9.6485E+00 9.5347E+00 9.5347E+00 9.1231E+00 8.1582E+00 7.2810E+00 6.5083E+00 5.2431E+00 4.4772E+00 4.4772E+00 4.2916E+00 3.9981E+00 3.9981E+00 3.9028E+00 3.8092E+00 3.8092E+00 2.7717E+00 1.9576E+00 1.1573E+00 7.6048E-01 5.3747E-01 4.0285E-01 3.5156E-01 3.5156E-01 2.5305E-01 1.7349E-01 8.4753E-02 5.0474E-02 3.3573E-02 2.3941E-02 1.7918E-02 1.3907E-02 1.1106E-02 9.0725E-03 7.5498E-03 6.3801E-03 5.4621E-03 4.1334E-03 3.6439E-03 3.2364E-03 2.6026E-03 2.3533E-03 2.2548E-03 1.5162E-03 1.4032E-03 1.2118E-03 1.0571E-03 9.3013E-04 7.3628E-04 5.9719E-04 5.7188E-04 4.9404E-04 3.5423E-04 2.6630E-04 1.4997E-04 9.6056E-05 6.6703E-05 4.9023E-05 3.7552E-05 2.9664E-05 2.4029E-05 1.9859E-05 1.6687E-05 1.4221E-05 1.2261E-05 1.0682E-05 9.3897E-06 7.4193E-06 6.0090E-06 4.9664E-06 4.1736E-06 3.5561E-06 3.0656E-06 2.6705E-06 1.5021E-06 9.6157E-07 6.6770E-07 3.7552E-07 2.4036E-07 1.0682E-07 6.0090E-08 2.6705E-08 1.5021E-08 9.6123E-09 6.6770E-09 3.7552E-09 2.4036E-09 1.0682E-09 6.0090E-10 2.6705E-10 1.5021E-10 9.6123E-11 6.6770E-11 3.7552E-11 2.4036E-11 1.0682E-11 6.0090E-12 2.6705E-12 1.5021E-12 9.6123E-13 6.6770E-13 3.7552E-13 2.4036E-13 INCOHERENT SCATTERING CROSS SECTION 4.6155E-03 5.8438E-03 1.9824E-03 7.8377E-03 8.8532E-03 8.8532E-03 9.0226E-03 9.1940E-03 9.1940E-03 1.0908E-02 1.1566E-02 1.1566E-02 1.2327E-02 1.3128E-02 1.3128E-02 1.3820E-02 1.4542E-02 1.4542E-02 1.6897E-02 2.2568E-02 2.7875E-02 3.2781E-02 4.1364E-02 4.7066E-02 4.7066E-02 4.8551E-02 5.0946E-02 5.0946E-02 5.1770E-02 5.2600E-02 5.2600E-02 6.2755E-02 7.3417E-02 8.7486E-02 9.5212E-02 9.9464E-02 1.0176E-01 1.0250E-01 1.0250E-01 1.0328E-01 1.0264E-01 9.7844E-02 9.2210E-02 8.6989E-02 8.2391E-02 7.8376E-02 7.4834E-02 7.1679E-02 6.8862E-02 6.6335E-02 6.4037E-02 6.1927E-02 5.8197E-02 5.6547E-02 5.5021E-02 5.2253E-02 5.0980E-02 5.0440E-02 4.5683E-02 4.4783E-02 4.3102E-02 4.1567E-02 4.0165E-02 3.7683E-02 3.5528E-02 3.5089E-02 3.3635E-02 3.0495E-02 2.7973E-02 2.3348E-02 2.0166E-02 1.7828E-02 1.6026E-02 1.4586E-02 1.3408E-02 1.2423E-02 1.1589E-02 1.0867E-02 1.0240E-02 9.6866E-03 9.1973E-03 8.7587E-03 8.0030E-03 7.3822E-03 6.8558E-03 6.4071E-03 6.0157E-03 5.6750E-03 5.3747E-03 4.2714E-03 3.5662E-03 3.0713E-03 2.4221E-03 2.0105E-03 1.4319E-03 1.1225E-03 7.9557E-04 6.2317E-04 5.1587E-04 4.4165E-04 3.4482E-04 2.8378E-04 1.9818E-04 1.5338E-04 1.0665E-04 8.2324E-05 6.7310E-05 5.7087E-05 4.3962E-05 3.5899E-05 2.4815E-05 1.9076E-05 1.3155E-05 1.0102E-05 8.2257E-06 6.9537E-06 5.3308E-06 4.3389E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 3.3243E+03 3.3095E+05 1.3279E+04 1.4785E+03 1.1923E+03 1.4764E+03 2.1820E+03 3.2224E+03 3.6337E+03 3.5865E+03 3.1428E+03 3.6472E+03 3.1729E+03 2.7595E+03 2.9333E+03 2.6275E+03 2.3537E+03 2.4559E+03 1.7592E+03 8.7756E+02 5.0407E+02 3.1789E+02 1.5179E+02 9.5449E+01 2.5116E+02 2.2578E+02 1.8540E+02 2.5487E+02 2.4037E+02 2.2669E+02 2.6209E+02 1.2612E+02 5.8841E+01 1.9738E+01 8.9713E+00 4.8416E+00 2.9154E+00 2.2970E+00 1.1910E+01 6.9942E+00 3.8767E+00 1.2946E+00 5.9111E-01 3.2347E-01 1.9913E-01 1.3315E-01 9.4639E-02 7.0496E-02 5.4489E-02 4.3388E-02 3.5393E-02 2.9452E-02 2.1400E-02 1.8604E-02 1.6350E-02 1.2972E-02 1.1684E-02 1.1181E-02 7.5374E-03 6.9984E-03 6.0964E-03 5.3747E-03 4.7868E-03 3.8945E-03 3.2565E-03 3.1405E-03 2.7822E-03 2.1304E-03 1.7096E-03 1.1232E-03 8.2560E-04 6.4813E-04 5.3173E-04 4.4975E-04 3.8935E-04 3.4279E-04 3.0591E-04 2.7612E-04 2.5156E-04 2.3095E-04 2.1340E-04 1.9832E-04 1.7369E-04 1.5446E-04 1.3904E-04 1.2642E-04 1.1586E-04 1.0692E-04 9.9295E-05 7.3079E-05 5.7796E-05 4.7809E-05 3.5494E-05 2.8236E-05 1.8678E-05 1.3955E-05 9.2648E-06 6.9368E-06 5.5434E-06 4.6155E-06 3.4583E-06 2.7643E-06 1.8415E-06 1.3806E-06 9.2007E-07 6.8997E-07 5.5198E-07 4.5987E-07 3.4482E-07 2.7585E-07 1.8388E-07 1.3789E-07 9.1940E-08 6.8963E-08 5.5164E-08 4.5953E-08 3.4482E-08 2.7579E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0851E-04 4.8156E-04 9.1697E-04 1.4386E-03 2.0135E-03 3.2385E-03 4.4941E-03 4.7707E-03 5.7413E-03 8.1249E-03 1.0341E-02 1.5233E-02 1.9350E-02 2.2885E-02 2.6006E-02 2.8813E-02 3.1364E-02 3.3706E-02 3.5865E-02 3.7889E-02 3.9779E-02 4.1533E-02 4.3153E-02 4.4671E-02 4.7404E-02 4.9867E-02 5.2094E-02 5.4084E-02 5.5940E-02 5.7627E-02 5.9213E-02 6.5556E-02 7.0279E-02 7.3957E-02 7.9355E-02 8.3167E-02 8.9173E-02 9.2749E-02 9.6899E-02 9.9261E-02 1.0081E-01 1.0193E-01 1.0341E-01 1.0436E-01 1.0574E-01 1.0648E-01 1.0729E-01 1.0773E-01 1.0800E-01 1.0820E-01 1.0844E-01 1.0861E-01 1.0881E-01 1.0894E-01 1.0905E-01 1.0911E-01 1.0918E-01 1.0918E-01 1.0921E-01 1.0925E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3750E-08 2.7779E-06 9.7777E-06 3.9846E-05 7.9287E-05 1.2156E-04 1.6364E-04 2.0429E-04 2.4313E-04 2.7997E-04 3.1479E-04 3.4752E-04 3.7856E-04 4.0757E-04 4.3557E-04 4.6155E-04 5.1048E-04 5.5434E-04 5.9482E-04 6.3160E-04 6.6568E-04 6.9705E-04 7.2641E-04 8.4686E-04 9.3728E-04 1.0085E-03 1.1151E-03 1.1920E-03 1.3182E-03 1.3961E-03 1.4909E-03 1.5476E-03 1.5857E-03 1.6141E-03 1.6526E-03 1.6782E-03 1.7163E-03 1.7379E-03 1.7615E-03 1.7754E-03 1.7838E-03 1.7899E-03 1.7976E-03 1.8027E-03 1.8094E-03 1.8135E-03 1.8172E-03 1.8196E-03 1.8209E-03 1.8219E-03 1.8229E-03 1.8236E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ac.mat0000644000276300001750000002252613136054446020311 0ustar solebliss00000000000000Ac 1 89 1.000000 12 4 3 5 3 3 3 3 6 3 3 9 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0800E-03 1.0800E-03 1.1707E-03 1.2690E-03 1.2690E-03 1.5000E-03 2.0000E-03 3.0000E-03 3.2190E-03 3.2190E-03 3.2937E-03 3.3702E-03 3.3702E-03 3.6296E-03 3.9090E-03 3.9090E-03 4.0000E-03 4.6560E-03 4.6560E-03 5.0000E-03 5.0020E-03 5.0020E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.5871E-02 1.5871E-02 1.7403E-02 1.9083E-02 1.9083E-02 1.9458E-02 1.9840E-02 1.9840E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.0676E-01 1.0676E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.3260E+01 1.6719E+02 1.5090E+01 1.3162E+01 1.3162E+01 1.3053E+01 1.2931E+01 1.2931E+01 1.2629E+01 1.1982E+01 1.0740E+01 1.0486E+01 1.0486E+01 1.0400E+01 1.0313E+01 1.0313E+01 1.0023E+01 9.7191E+00 9.7191E+00 9.6236E+00 8.9684E+00 8.9684E+00 8.6475E+00 8.6475E+00 8.6475E+00 7.8066E+00 6.4326E+00 5.3768E+00 3.6314E+00 3.4139E+00 3.4139E+00 3.0723E+00 2.7534E+00 2.7534E+00 2.6895E+00 2.6266E+00 2.6266E+00 2.6009E+00 1.5311E+00 1.0289E+00 7.3901E-01 5.5492E-01 3.4855E-01 2.4165E-01 2.1656E-01 2.1656E-01 1.2032E-01 7.1965E-02 4.8083E-02 3.4484E-02 2.5961E-02 2.0253E-02 1.6236E-02 1.3305E-02 1.1102E-02 9.4035E-03 8.0660E-03 6.1235E-03 5.4060E-03 4.8081E-03 3.8752E-03 3.5067E-03 3.3608E-03 2.2674E-03 2.0996E-03 1.8153E-03 1.5849E-03 1.3958E-03 1.1066E-03 8.9843E-04 8.6050E-04 7.4378E-04 5.3401E-04 4.0187E-04 2.2658E-04 1.4520E-04 1.0090E-04 7.4167E-05 5.6792E-05 4.4882E-05 3.6367E-05 3.0054E-05 2.5255E-05 2.1521E-05 1.8558E-05 1.6168E-05 1.4210E-05 1.1228E-05 9.0958E-06 7.5175E-06 6.3158E-06 5.3821E-06 4.6394E-06 4.0426E-06 2.2741E-06 1.4555E-06 1.0106E-06 5.6845E-07 3.6394E-07 1.6170E-07 9.0958E-08 4.0426E-08 2.2738E-08 1.4552E-08 1.0106E-08 5.6845E-09 3.6394E-09 1.6170E-09 9.0958E-10 4.0426E-10 2.2738E-10 1.4552E-10 1.0106E-10 5.6845E-11 3.6394E-11 1.6170E-11 9.0958E-12 4.0426E-12 2.2738E-12 1.4552E-12 1.0106E-12 5.6845E-13 3.6394E-13 INCOHERENT SCATTERING CROSS SECTION 4.8728E-03 5.7778E+10 4.8971E-03 5.3768E-03 5.3768E-03 5.9260E-03 6.5095E-03 6.5095E-03 7.9100E-03 1.0878E-02 1.6616E-02 1.7836E-02 1.7836E-02 1.8247E-02 1.8664E-02 1.8664E-02 2.0050E-02 2.1505E-02 2.1505E-02 2.1966E-02 2.5176E-02 2.5176E-02 2.6765E-02 2.6765E-02 2.6765E-02 3.1035E-02 3.8542E-02 4.5227E-02 5.8437E-02 6.0294E-02 6.0294E-02 6.3235E-02 6.6182E-02 6.6182E-02 6.6818E-02 6.7429E-02 6.7429E-02 6.7668E-02 8.0055E-02 8.7695E-02 9.2310E-02 9.4990E-02 9.7032E-02 9.6926E-02 9.6608E-02 9.6608E-02 9.3186E-02 8.8278E-02 8.3545E-02 7.9286E-02 7.5519E-02 7.2177E-02 6.9196E-02 6.6527E-02 6.4124E-02 6.1938E-02 5.9932E-02 5.6368E-02 5.4776E-02 5.3292E-02 5.0620E-02 4.9418E-02 4.8914E-02 4.4325E-02 4.3452E-02 4.1828E-02 4.0346E-02 3.8988E-02 3.6575E-02 3.4484E-02 3.4059E-02 3.2652E-02 2.9608E-02 2.7163E-02 2.2680E-02 1.9595E-02 1.7321E-02 1.5571E-02 1.4173E-02 1.3030E-02 1.2072E-02 1.1260E-02 1.0560E-02 9.9499E-03 9.4141E-03 8.9366E-03 8.5095E-03 7.7774E-03 7.1726E-03 6.6633E-03 6.2256E-03 5.8463E-03 5.5148E-03 5.2230E-03 4.1513E-03 3.4643E-03 2.9842E-03 2.3542E-03 1.9539E-03 1.3916E-03 1.0910E-03 7.7323E-04 6.0559E-04 5.0134E-04 4.2919E-04 3.3529E-04 2.7587E-04 1.9261E-04 1.4908E-04 1.0366E-04 8.0002E-05 6.5413E-05 5.5466E-05 4.2733E-05 3.4882E-05 2.4115E-05 1.8539E-05 1.2786E-05 9.8173E-06 7.9923E-06 6.7562E-06 5.1805E-06 4.2150E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.4564E+03 4.2975E+05 2.2846E+04 5.6102E+03 5.6898E+03 4.8839E+03 4.1911E+03 4.2760E+03 3.0691E+03 1.6836E+03 6.8729E+02 5.8543E+02 1.5258E+03 1.4061E+03 1.2961E+03 1.8818E+03 1.5559E+03 1.2868E+03 1.4947E+03 1.4165E+03 9.6555E+02 1.0250E+03 8.5997E+02 8.5918E+02 8.9658E+02 5.7508E+02 2.8144E+02 1.5990E+02 5.6315E+01 4.8649E+01 1.1791E+02 9.1779E+01 7.1434E+01 1.0083E+02 9.5938E+01 9.1329E+01 1.0510E+02 1.0348E+02 3.6500E+01 1.7112E+01 9.4379E+00 5.7827E+00 2.6553E+00 1.4473E+00 1.2114E+00 5.3079E+00 2.2202E+00 1.0528E+00 5.9188E-01 3.7216E-01 2.5313E-01 1.8247E-01 1.3753E-01 1.0735E-01 8.6174E-02 7.0771E-02 5.9231E-02 4.3410E-02 3.7853E-02 3.3342E-02 2.6540E-02 2.3940E-02 2.2924E-02 1.5486E-02 1.4373E-02 1.2507E-02 1.1014E-02 9.8012E-03 7.9662E-03 6.6554E-03 6.4166E-03 5.6791E-03 4.3357E-03 3.4696E-03 2.2669E-03 1.6584E-03 1.2979E-03 1.0616E-03 8.9578E-04 7.7376E-04 6.8013E-04 6.0638E-04 5.4670E-04 4.9736E-04 4.5625E-04 4.2123E-04 3.9126E-04 3.4218E-04 3.0399E-04 2.7348E-04 2.4842E-04 2.2754E-04 2.0990E-04 1.9478E-04 1.4313E-04 1.1308E-04 9.3451E-05 6.9339E-05 5.5121E-05 3.6447E-05 2.7216E-05 1.8062E-05 1.3515E-05 1.0799E-05 8.9923E-06 6.7349E-06 5.3848E-06 3.5863E-06 2.6897E-06 1.7921E-06 1.3438E-06 1.0748E-06 8.9552E-07 6.7164E-07 5.3715E-07 3.5810E-07 2.6871E-07 1.7905E-07 1.3430E-07 1.0743E-07 8.9525E-08 6.7137E-08 5.3715E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.2919E-04 6.8114E-04 1.3252E-03 2.0948E-03 2.9198E-03 4.5793E-03 6.1859E-03 6.5360E-03 7.7411E-03 1.0557E-02 1.3051E-02 1.8422E-02 2.2908E-02 2.6765E-02 3.0160E-02 3.3237E-02 3.6049E-02 3.8648E-02 4.1036E-02 4.3290E-02 4.5359E-02 4.7322E-02 4.9153E-02 5.0850E-02 5.3954E-02 5.6713E-02 5.9206E-02 6.1514E-02 6.3609E-02 6.5519E-02 6.7296E-02 7.4485E-02 7.9843E-02 8.3981E-02 9.0082E-02 9.4379E-02 1.0117E-01 1.0520E-01 1.0990E-01 1.1260E-01 1.1435E-01 1.1563E-01 1.1730E-01 1.1839E-01 1.1998E-01 1.2083E-01 1.2175E-01 1.2226E-01 1.2258E-01 1.2279E-01 1.2308E-01 1.2327E-01 1.2351E-01 1.2364E-01 1.2380E-01 1.2388E-01 1.2390E-01 1.2393E-01 1.2398E-01 1.2401E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0981E-08 2.6961E-06 9.4910E-06 3.8675E-05 7.6899E-05 1.1785E-04 1.5855E-04 1.9786E-04 2.3537E-04 2.7083E-04 3.0452E-04 3.3608E-04 3.6579E-04 3.9391E-04 4.2044E-04 4.4564E-04 4.9232E-04 5.3450E-04 5.7296E-04 6.0824E-04 6.4087E-04 6.7084E-04 6.9869E-04 8.1302E-04 8.9870E-04 9.6634E-04 1.0669E-03 1.1396E-03 1.2581E-03 1.3319E-03 1.4213E-03 1.4746E-03 1.5109E-03 1.5374E-03 1.5741E-03 1.5985E-03 1.6348E-03 1.6555E-03 1.6780E-03 1.6913E-03 1.6995E-03 1.7051E-03 1.7128E-03 1.7176E-03 1.7242E-03 1.7282E-03 1.7319E-03 1.7343E-03 1.7356E-03 1.7364E-03 1.7375E-03 1.7382E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/In.mat0000644000276300001750000001774013136054446020336 0ustar solebliss00000000000000In 1 49 1.000000 5 7 3 3 8 84 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 3.7301E-03 3.7301E-03 3.8326E-03 3.9380E-03 3.9380E-03 4.0000E-03 4.2375E-03 4.2375E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 2.7940E-02 2.7940E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 7.9512E+00 4.4245E+01 8.9439E+00 7.5368E+00 7.0858E+00 6.1942E+00 5.5963E+00 5.5963E+00 5.5154E+00 5.4337E+00 5.4337E+00 5.3865E+00 5.2118E+00 5.2118E+00 4.6910E+00 4.1057E+00 3.2256E+00 2.6250E+00 1.7271E+00 1.2095E+00 7.5473E-01 7.5473E-01 6.8078E-01 4.4440E-01 3.1459E-01 2.3355E-01 1.4287E-01 9.6715E-02 4.6973E-02 2.7703E-02 1.8218E-02 1.2876E-02 9.5816E-03 7.4057E-03 5.8929E-03 4.7996E-03 3.9844E-03 3.3604E-03 2.8719E-03 2.1670E-03 1.9081E-03 1.6929E-03 1.3587E-03 1.2273E-03 1.1754E-03 7.8830E-04 7.2912E-04 6.2897E-04 5.4809E-04 4.8191E-04 3.8111E-04 3.0897E-04 2.9586E-04 2.5551E-04 1.8304E-04 1.3752E-04 7.7414E-05 4.9543E-05 3.4411E-05 2.5285E-05 1.9359E-05 1.5294E-05 1.2388E-05 1.0238E-05 8.6068E-06 7.3323E-06 6.3200E-06 5.5071E-06 4.8405E-06 3.8245E-06 3.0976E-06 2.5600E-06 2.1514E-06 1.8331E-06 1.5808E-06 1.3768E-06 7.7466E-07 4.9564E-07 3.4422E-07 1.9359E-07 1.2394E-07 5.5071E-08 3.0976E-08 1.3768E-08 7.7466E-09 4.9564E-09 3.4417E-09 1.9359E-09 1.2388E-09 5.5071E-10 3.0976E-10 1.3768E-10 7.7466E-11 4.9564E-11 3.4417E-11 1.9359E-11 1.2388E-11 5.5071E-12 3.0976E-12 1.3768E-12 7.7466E-13 4.9564E-13 3.4417E-13 1.9359E-13 1.2388E-13 INCOHERENT SCATTERING CROSS SECTION 5.4546E-03 8.8458E-03 2.1252E-03 9.8708E-03 1.4172E-02 2.2039E-02 2.7299E-02 2.7299E-02 2.8011E-02 2.8737E-02 2.8737E-02 2.9161E-02 3.0761E-02 3.0761E-02 3.5675E-02 4.1681E-02 5.2449E-02 6.1784E-02 7.8620E-02 8.9530E-02 1.0060E-01 1.0060E-01 1.0264E-01 1.0951E-01 1.1308E-01 1.1476E-01 1.1497E-01 1.1318E-01 1.0642E-01 9.9600E-02 9.3586E-02 8.8376E-02 8.3856E-02 7.9931E-02 7.6497E-02 7.3428E-02 7.0645E-02 6.8131E-02 6.5860E-02 6.1858E-02 6.0053E-02 5.8358E-02 5.5359E-02 5.4074E-02 5.3550E-02 4.8426E-02 4.7451E-02 4.5665E-02 4.4046E-02 4.2557E-02 3.9904E-02 3.7616E-02 3.7155E-02 3.5622E-02 3.2292E-02 2.9612E-02 2.4708E-02 2.1341E-02 1.8866E-02 1.6957E-02 1.5430E-02 1.4187E-02 1.3144E-02 1.2262E-02 1.1497E-02 1.0831E-02 1.0248E-02 9.7292E-03 9.2676E-03 8.4704E-03 7.8096E-03 7.2536E-03 6.7763E-03 6.3672E-03 6.0054E-03 5.6854E-03 4.5179E-03 3.7710E-03 3.2492E-03 2.5626E-03 2.1268E-03 1.5147E-03 1.1874E-03 8.4180E-04 6.5928E-04 5.4599E-04 4.6726E-04 3.6494E-04 3.0022E-04 2.0969E-04 1.6228E-04 1.1282E-04 8.7117E-05 7.1225E-05 6.0368E-05 4.6522E-05 3.7983E-05 2.6250E-05 2.0182E-05 1.3920E-05 1.0684E-05 8.7012E-06 7.3533E-06 5.6382E-06 4.5887E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 7.7991E+03 1.4115E+06 3.7303E+04 3.1233E+03 1.5708E+03 5.7484E+02 3.2995E+02 1.0406E+03 9.8153E+02 9.2572E+02 1.2467E+03 1.2252E+03 1.0610E+03 1.2179E+03 8.0876E+02 5.0303E+02 2.3576E+02 1.2944E+02 4.2646E+01 1.9138E+01 7.4582E+00 4.6469E+01 3.8702E+01 1.8173E+01 9.8761E+00 5.9581E+00 2.6486E+00 1.3993E+00 4.3417E-01 1.8939E-01 1.0025E-01 6.0158E-02 3.9421E-02 2.7562E-02 2.0252E-02 1.5483E-02 1.2222E-02 9.8918E-03 8.1680E-03 5.8772E-03 5.1090E-03 4.5028E-03 3.5717E-03 3.1889E-03 3.0341E-03 2.0465E-03 1.9049E-03 1.6626E-03 1.4665E-03 1.3071E-03 1.0662E-03 8.9372E-04 8.6225E-04 7.6524E-04 5.8903E-04 4.7513E-04 3.1532E-04 2.3350E-04 1.8446E-04 1.5205E-04 1.2908E-04 1.1203E-04 9.8918E-05 8.8481E-05 8.0036E-05 7.3008E-05 6.7134E-05 6.2099E-05 5.7798E-05 5.0718E-05 4.5179E-05 4.0721E-05 3.7060E-05 3.4002E-05 3.1411E-05 2.9182E-05 2.1535E-05 1.7061E-05 1.4124E-05 1.0505E-05 8.3655E-06 5.5386E-06 4.1403E-06 2.7509E-06 2.0597E-06 1.6458E-06 1.3710E-06 1.0269E-06 8.2134E-07 5.4704E-07 4.1025E-07 2.7341E-07 2.0502E-07 1.6401E-07 1.3668E-07 1.0248E-07 8.1977E-08 5.4651E-08 4.0989E-08 2.7326E-08 2.0492E-08 1.6395E-08 1.3663E-08 1.0248E-08 8.1977E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6852E-04 2.6161E-04 4.9672E-04 7.8463E-04 1.1145E-03 1.8665E-03 2.6943E-03 2.8815E-03 3.5506E-03 5.2612E-03 6.9127E-03 1.0679E-02 1.3936E-02 1.6747E-02 1.9254E-02 2.1509E-02 2.3560E-02 2.5432E-02 2.7163E-02 2.8758E-02 3.0237E-02 3.1595E-02 3.2854E-02 3.4029E-02 3.6174E-02 3.8093E-02 3.9835E-02 4.1413E-02 4.2856E-02 4.4177E-02 4.5399E-02 5.0345E-02 5.4022E-02 5.6854E-02 6.1102E-02 6.4092E-02 6.8865E-02 7.1697E-02 7.5001E-02 7.6889E-02 7.8148E-02 7.9040E-02 8.0246E-02 8.1033E-02 8.2134E-02 8.2764E-02 8.3393E-02 8.3760E-02 8.3970E-02 8.4127E-02 8.4337E-02 8.4495E-02 8.4652E-02 8.4757E-02 8.4862E-02 8.4914E-02 8.4914E-02 8.4967E-02 8.4967E-02 8.5019E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9175E-08 2.9410E-06 1.0359E-05 4.2258E-05 8.4127E-05 1.2908E-04 1.7381E-04 2.1714E-04 2.5857E-04 2.9796E-04 3.3520E-04 3.7029E-04 4.0338E-04 4.3485E-04 4.6459E-04 4.9291E-04 5.4546E-04 5.9319E-04 6.3672E-04 6.7659E-04 7.1330E-04 7.4792E-04 7.7991E-04 9.1156E-04 1.0117E-03 1.0915E-03 1.2110E-03 1.2976E-03 1.4418E-03 1.5315E-03 1.6416E-03 1.7077E-03 1.7528E-03 1.7859E-03 1.8315E-03 1.8619E-03 1.9076E-03 1.9333E-03 1.9610E-03 1.9773E-03 1.9873E-03 1.9946E-03 2.0041E-03 2.0098E-03 2.0182E-03 2.0229E-03 2.0271E-03 2.0303E-03 2.0319E-03 2.0329E-03 2.0340E-03 2.0350E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Re.mat0000644000276300001750000002205213136054446020326 0ustar solebliss00000000000000Re 1 75 1.000000 10 5 3 3 3 3 8 3 3 8 80 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 1.8224E-03 1.8224E-03 1.8846E-03 1.9489E-03 1.9489E-03 2.0000E-03 2.3673E-03 2.3673E-03 2.5196E-03 2.6816E-03 2.6816E-03 2.8039E-03 2.9317E-03 2.9317E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.0535E-02 1.0535E-02 1.1224E-02 1.1959E-02 1.1959E-02 1.2239E-02 1.2527E-02 1.2527E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 7.1676E-02 7.1676E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.1620E+01 4.2511E+01 1.2745E+01 1.1135E+01 1.0795E+01 1.0795E+01 1.0726E+01 1.0653E+01 1.0653E+01 1.0595E+01 1.0184E+01 1.0184E+01 1.0023E+01 9.8511E+00 9.8511E+00 9.7189E+00 9.5794E+00 9.5794E+00 9.5050E+00 8.4928E+00 7.5905E+00 6.7981E+00 5.5109E+00 4.5342E+00 4.3143E+00 4.3143E+00 4.0501E+00 3.7936E+00 3.7936E+00 3.7025E+00 3.6125E+00 3.6125E+00 2.9482E+00 2.0786E+00 1.2290E+00 8.1176E-01 5.7438E-01 4.3014E-01 3.2373E-01 3.2373E-01 2.7034E-01 1.8580E-01 9.0975E-02 5.4204E-02 3.6084E-02 2.5760E-02 1.9301E-02 1.4993E-02 1.1980E-02 9.7896E-03 8.1490E-03 6.8887E-03 5.8996E-03 4.4674E-03 3.9391E-03 3.4991E-03 2.8142E-03 2.5449E-03 2.4385E-03 1.6407E-03 1.5184E-03 1.3115E-03 1.1442E-03 1.0071E-03 7.9759E-04 6.4682E-04 6.1933E-04 5.3487E-04 3.8357E-04 2.8848E-04 1.6248E-04 1.0407E-04 7.2282E-05 5.3136E-05 4.0685E-05 3.2147E-05 2.6041E-05 2.1523E-05 1.8085E-05 1.5411E-05 1.3289E-05 1.1575E-05 1.0175E-05 8.0400E-06 6.5103E-06 5.3816E-06 4.5213E-06 3.8518E-06 3.3214E-06 2.8942E-06 1.6281E-06 1.0420E-06 7.2347E-07 4.0685E-07 2.6048E-07 1.1578E-07 6.5103E-08 2.8942E-08 1.6281E-08 1.0420E-08 7.2347E-09 4.0685E-09 2.6048E-09 1.1578E-09 6.5103E-10 2.8942E-10 1.6281E-10 1.0420E-10 7.2347E-11 4.0685E-11 2.6048E-11 1.1578E-11 6.5103E-12 2.8942E-12 1.6281E-12 1.0420E-12 7.2347E-13 4.0685E-13 2.6048E-13 INCOHERENT SCATTERING CROSS SECTION 4.2076E-03 1.1121E-02 1.7526E-03 7.3447E-03 9.2787E-03 9.2787E-03 9.6482E-03 1.0029E-02 1.0029E-02 1.0330E-02 1.2477E-02 1.2477E-02 1.3339E-02 1.4249E-02 1.4249E-02 1.4941E-02 1.5663E-02 1.5663E-02 1.6044E-02 2.1513E-02 2.6720E-02 3.1636E-02 4.0362E-02 4.7671E-02 4.9417E-02 4.9417E-02 5.1583E-02 5.3783E-02 5.3783E-02 5.4592E-02 5.5400E-02 5.5400E-02 6.1707E-02 7.2121E-02 8.6124E-02 9.4016E-02 9.8382E-02 1.0081E-01 1.0210E-01 1.0210E-01 1.0242E-01 1.0194E-01 9.7347E-02 9.1816E-02 8.6668E-02 8.2114E-02 7.8125E-02 7.4611E-02 7.1490E-02 6.8692E-02 6.6166E-02 6.3874E-02 6.1784E-02 5.8089E-02 5.6435E-02 5.4890E-02 5.2112E-02 5.0872E-02 5.0355E-02 4.5601E-02 4.4701E-02 4.3027E-02 4.1494E-02 4.0076E-02 3.7565E-02 3.5446E-02 3.5025E-02 3.3613E-02 3.0477E-02 2.7930E-02 2.3308E-02 2.0136E-02 1.7801E-02 1.5999E-02 1.4563E-02 1.3389E-02 1.2406E-02 1.1572E-02 1.0850E-02 1.0223E-02 9.6732E-03 9.1816E-03 8.7450E-03 7.9915E-03 7.3705E-03 6.8466E-03 6.3971E-03 6.0057E-03 5.6662E-03 5.3654E-03 4.2626E-03 3.5608E-03 3.0669E-03 2.4188E-03 2.0074E-03 1.4295E-03 1.1209E-03 7.9462E-04 6.2224E-04 5.1519E-04 4.4113E-04 3.4443E-04 2.8337E-04 1.9790E-04 1.5317E-04 1.0650E-04 8.2211E-05 6.7205E-05 5.6985E-05 4.3919E-05 3.5866E-05 2.4777E-05 1.9049E-05 1.3137E-05 1.0084E-05 8.2114E-06 6.9436E-06 5.3233E-06 4.3305E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 3.8615E+03 3.8369E+05 1.5413E+04 1.7176E+03 1.1365E+03 1.1371E+03 1.7350E+03 2.6452E+03 2.7302E+03 3.7613E+03 2.6850E+03 3.1128E+03 2.6753E+03 2.2995E+03 2.4437E+03 2.2013E+03 1.9828E+03 2.0682E+03 1.9625E+03 9.8576E+02 5.6823E+02 3.5899E+02 1.7222E+02 9.6538E+01 8.4216E+01 2.1905E+02 1.8495E+02 1.5614E+02 2.1536E+02 2.0358E+02 1.9246E+02 2.2251E+02 1.4101E+02 6.6202E+01 2.2361E+01 1.0220E+01 5.5336E+00 3.3408E+00 2.0385E+00 1.0307E+01 7.6972E+00 4.2981E+00 1.4489E+00 6.6590E-01 3.6603E-01 2.2606E-01 1.5158E-01 1.0799E-01 8.0589E-02 6.2386E-02 4.9740E-02 4.0620E-02 3.3836E-02 2.4622E-02 2.1416E-02 1.8828E-02 1.4943E-02 1.3460E-02 1.2881E-02 8.6868E-03 8.0662E-03 7.0266E-03 6.1933E-03 5.5132E-03 4.4813E-03 3.7483E-03 3.6157E-03 3.2050E-03 2.4525E-03 1.9657E-03 1.2901E-03 9.4727E-04 7.4352E-04 6.0963E-04 5.1519E-04 4.4566E-04 3.9230E-04 3.5025E-04 3.1600E-04 2.8780E-04 2.6419E-04 2.4408E-04 2.2681E-04 1.9861E-04 1.7658E-04 1.5892E-04 1.4447E-04 1.3240E-04 1.2218E-04 1.1342E-04 8.3472E-05 6.6008E-05 5.4559E-05 4.0523E-05 3.2231E-05 2.1316E-05 1.5925E-05 1.0572E-05 7.9139E-06 6.3227E-06 5.2651E-06 3.9456E-06 3.1542E-06 2.1009E-06 1.5750E-06 1.0498E-06 7.8718E-07 6.2968E-07 5.2457E-07 3.9327E-07 3.1471E-07 2.0980E-07 1.5734E-07 1.0488E-07 7.8654E-08 6.2936E-08 5.2457E-08 3.9327E-08 3.1465E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.3053E-04 5.1711E-04 9.8742E-04 1.5501E-03 2.1668E-03 3.4678E-03 4.7897E-03 5.0808E-03 6.0984E-03 8.5741E-03 1.0857E-02 1.5883E-02 2.0100E-02 2.3722E-02 2.6917E-02 2.9789E-02 3.2406E-02 3.4799E-02 3.7031E-02 3.9100E-02 4.1008E-02 4.2820E-02 4.4501E-02 4.6054E-02 4.8900E-02 5.1422E-02 5.3686E-02 5.5756E-02 5.7664E-02 5.9411E-02 6.1028E-02 6.7560E-02 7.2444E-02 7.6228E-02 8.1758E-02 8.5672E-02 9.1849E-02 9.5503E-02 9.9772E-02 1.0220E-01 1.0378E-01 1.0491E-01 1.0643E-01 1.0740E-01 1.0883E-01 1.0960E-01 1.1041E-01 1.1087E-01 1.1116E-01 1.1135E-01 1.1161E-01 1.1177E-01 1.1200E-01 1.1209E-01 1.1222E-01 1.1229E-01 1.1235E-01 1.1235E-01 1.1242E-01 1.1242E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3565E-08 2.7727E-06 9.7605E-06 3.9780E-05 7.9139E-05 1.2134E-04 1.6329E-04 2.0385E-04 2.4259E-04 2.7933E-04 3.1406E-04 3.4670E-04 3.7742E-04 4.0685E-04 4.3434E-04 4.6054E-04 5.0905E-04 5.5271E-04 5.9281E-04 6.2968E-04 6.6364E-04 6.9469E-04 7.2379E-04 8.4346E-04 9.3336E-04 1.0042E-03 1.1099E-03 1.1863E-03 1.3108E-03 1.3881E-03 1.4815E-03 1.5372E-03 1.5750E-03 1.6025E-03 1.6403E-03 1.6656E-03 1.7028E-03 1.7238E-03 1.7467E-03 1.7603E-03 1.7684E-03 1.7742E-03 1.7820E-03 1.7868E-03 1.7933E-03 1.7972E-03 1.8008E-03 1.8033E-03 1.8046E-03 1.8056E-03 1.8062E-03 1.8072E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Kr.mat0000644000276300001750000002005013136054446020330 0ustar solebliss00000000000000Kr 1 36 1.000000 5 5 3 3 9 86 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 1.6749E-03 1.6749E-03 1.7008E-03 1.7272E-03 1.7272E-03 1.8215E-03 1.9210E-03 1.9210E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.4326E-02 1.4326E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 5.8978E+00 5.2605E+01 6.7108E+00 5.5809E+00 5.4537E+00 5.4537E+00 5.4343E+00 5.4149E+00 5.4149E+00 5.3480E+00 5.2769E+00 5.2769E+00 5.2173E+00 4.4936E+00 3.8799E+00 3.3862E+00 2.9823E+00 2.3521E+00 1.8792E+00 1.2174E+00 1.2174E+00 1.1477E+00 7.8115E-01 4.4225E-01 2.8364E-01 1.9633E-01 1.4416E-01 8.7960E-02 5.9510E-02 2.8566E-02 1.6665E-02 1.0897E-02 7.6750E-03 5.6946E-03 4.3916E-03 3.4889E-03 2.8379E-03 2.3528E-03 1.9820E-03 1.6923E-03 1.2750E-03 1.1218E-03 9.9456E-04 7.9732E-04 7.2007E-04 6.8960E-04 4.6179E-04 4.2705E-04 3.6838E-04 3.2101E-04 2.8223E-04 2.2312E-04 1.8081E-04 1.7312E-04 1.4947E-04 1.0705E-04 8.0415E-05 4.5245E-05 2.8961E-05 2.0115E-05 1.4775E-05 1.1311E-05 8.9398E-06 7.2438E-06 5.9848E-06 5.0290E-06 4.2852E-06 3.6952E-06 3.2188E-06 2.8293E-06 2.2349E-06 1.8102E-06 1.4962E-06 1.2576E-06 1.0715E-06 9.2344E-07 8.0487E-07 4.5259E-07 2.8968E-07 2.0115E-07 1.1318E-07 7.2438E-08 3.2188E-08 1.8102E-08 8.0487E-09 4.5259E-09 2.8968E-09 2.0115E-09 1.1318E-09 7.2438E-10 3.2188E-10 1.8102E-10 8.0487E-11 4.5259E-11 2.8968E-11 2.0115E-11 1.1318E-11 7.2438E-12 3.2188E-12 1.8102E-12 8.0487E-13 4.5259E-13 2.8968E-13 2.0115E-13 1.1318E-13 7.2438E-14 INCOHERENT SCATTERING CROSS SECTION 4.7573E-03 6.1989E-03 1.6112E-03 9.3710E-03 1.1088E-02 1.1088E-02 1.1349E-02 1.1613E-02 1.1613E-02 1.2555E-02 1.3546E-02 1.3546E-02 1.4337E-02 2.3959E-02 3.2683E-02 4.0315E-02 4.6941E-02 5.8051E-02 6.7293E-02 8.2930E-02 8.2930E-02 8.4870E-02 9.6728E-02 1.1017E-01 1.1663E-01 1.1958E-01 1.2051E-01 1.1951E-01 1.1692E-01 1.0902E-01 1.0161E-01 9.5234E-02 8.9757E-02 8.5025E-02 8.0918E-02 7.7330E-02 7.4163E-02 7.1338E-02 6.8787E-02 6.6463E-02 6.2378E-02 6.0573E-02 5.8903E-02 5.5894E-02 5.4530E-02 5.3955E-02 4.8795E-02 4.7824E-02 4.6020E-02 4.4376E-02 4.2868E-02 4.0195E-02 3.7886E-02 3.7419E-02 3.5870E-02 3.2513E-02 2.9816E-02 2.4879E-02 2.1487E-02 1.8993E-02 1.7068E-02 1.5537E-02 1.4279E-02 1.3230E-02 1.2346E-02 1.1577E-02 1.0909E-02 1.0320E-02 9.7950E-03 9.3278E-03 8.5230E-03 7.8618E-03 7.3013E-03 6.8234E-03 6.4073E-03 6.0444E-03 5.7232E-03 4.5482E-03 3.7965E-03 3.2712E-03 2.5799E-03 2.1415E-03 1.5249E-03 1.1958E-03 8.4727E-04 6.6366E-04 5.4939E-04 4.7034E-04 3.6736E-04 3.0226E-04 2.1106E-04 1.6335E-04 1.1362E-04 8.7673E-05 7.1684E-05 6.0789E-05 4.6833E-05 3.8238E-05 2.6424E-05 2.0316E-05 1.4013E-05 1.0758E-05 8.7601E-06 7.4019E-06 5.6779E-06 4.6194E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.8479E+03 6.7513E+05 1.4772E+04 1.0873E+03 8.3074E+02 3.9108E+03 3.5147E+03 3.1598E+03 4.5590E+03 3.9813E+03 3.4782E+03 3.9424E+03 3.5946E+03 1.3007E+03 6.1479E+02 3.3912E+02 2.0711E+02 9.4069E+01 5.0620E+01 1.8411E+01 1.3000E+02 1.1556E+02 5.4602E+01 1.7980E+01 7.9912E+00 4.2069E+00 2.4742E+00 1.0600E+00 5.4566E-01 1.6227E-01 6.8881E-02 3.5770E-02 2.1157E-02 1.3703E-02 9.4931E-03 6.9264E-03 5.2654E-03 4.1367E-03 3.3352E-03 2.7460E-03 1.9684E-03 1.7089E-03 1.5046E-03 1.1918E-03 1.0636E-03 1.0118E-03 6.8328E-04 6.3638E-04 5.5622E-04 4.9126E-04 4.3837E-04 3.5827E-04 3.0103E-04 2.9061E-04 2.5845E-04 1.9981E-04 1.6176E-04 1.0815E-04 8.0559E-05 6.3894E-05 5.2834E-05 4.4979E-05 3.9122E-05 3.4602E-05 3.1002E-05 2.8077E-05 2.5648E-05 2.3607E-05 2.1861E-05 2.0352E-05 1.7887E-05 1.5946E-05 1.4387E-05 1.3108E-05 1.2030E-05 1.1117E-05 1.0334E-05 7.6391E-06 6.0602E-06 5.0204E-06 3.7383E-06 2.9773E-06 1.9734E-06 1.4754E-06 9.8093E-07 7.3444E-07 5.8698E-07 4.8889E-07 3.6636E-07 2.9299E-07 1.9518E-07 1.4639E-07 9.7518E-08 7.3157E-08 5.8511E-08 4.8759E-08 3.6564E-08 2.9248E-08 1.9496E-08 1.4624E-08 9.7518E-09 7.3085E-09 5.8489E-09 4.8745E-09 3.6557E-09 2.9248E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0327E-04 1.6201E-04 3.1348E-04 5.0362E-04 7.2648E-04 1.2483E-03 1.8339E-03 1.9669E-03 2.4465E-03 3.7017E-03 4.9384E-03 7.7828E-03 1.0284E-02 1.2468E-02 1.4423E-02 1.6176E-02 1.7779E-02 1.9231E-02 2.0560E-02 2.1775E-02 2.2888E-02 2.3923E-02 2.4886E-02 2.5792E-02 2.7452E-02 2.8932E-02 3.0276E-02 3.1505E-02 3.2619E-02 3.3639E-02 3.4588E-02 3.8432E-02 4.1293E-02 4.3520E-02 4.6812E-02 4.9147E-02 5.2870E-02 5.5090E-02 5.7677E-02 5.9165E-02 6.0142E-02 6.0847E-02 6.1781E-02 6.2384E-02 6.3261E-02 6.3735E-02 6.4253E-02 6.4526E-02 6.4706E-02 6.4828E-02 6.4986E-02 6.5087E-02 6.5223E-02 6.5302E-02 6.5374E-02 6.5417E-02 6.5446E-02 6.5460E-02 6.5482E-02 6.5496E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9842E-08 2.9617E-06 1.0435E-05 4.2586E-05 8.4799E-05 1.3014E-04 1.7535E-04 2.1918E-04 2.6108E-04 3.0096E-04 3.3869E-04 3.7434E-04 4.0790E-04 4.3987E-04 4.7013E-04 4.9895E-04 5.5241E-04 6.0106E-04 6.4562E-04 6.8665E-04 7.2438E-04 7.5959E-04 7.9265E-04 9.2847E-04 1.0320E-03 1.1146E-03 1.2389E-03 1.3302E-03 1.4811E-03 1.5760E-03 1.6931E-03 1.7628E-03 1.8110E-03 1.8462E-03 1.8943E-03 1.9267E-03 1.9741E-03 2.0014E-03 2.0301E-03 2.0481E-03 2.0582E-03 2.0653E-03 2.0754E-03 2.0819E-03 2.0898E-03 2.0948E-03 2.0998E-03 2.1027E-03 2.1042E-03 2.1056E-03 2.1063E-03 2.1077E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/S.mat0000644000276300001750000001666213136054446020174 0ustar solebliss00000000000000S 1 16 1.000000 2 6 92 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.4720E-03 2.4720E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 2.9466E+00 5.6141E+01 3.5912E+00 2.6950E+00 2.4264E+00 2.1823E+00 2.1823E+00 1.9494E+00 1.6003E+00 1.3533E+00 1.1715E+00 9.1085E-01 7.2286E-01 4.3007E-01 2.8208E-01 1.5116E-01 9.5442E-02 6.5788E-02 4.7965E-02 2.8603E-02 1.8949E-02 8.8231E-03 5.0707E-03 3.2825E-03 2.2950E-03 1.6934E-03 1.3004E-03 1.0296E-03 8.3517E-04 6.9092E-04 5.8107E-04 4.9553E-04 3.7262E-04 3.2753E-04 2.9007E-04 2.3224E-04 2.0978E-04 2.0095E-04 1.3434E-04 1.2419E-04 1.0710E-04 9.3320E-05 8.2033E-05 6.4821E-05 5.2510E-05 5.0275E-05 4.3404E-05 3.1079E-05 2.3344E-05 1.3131E-05 8.4042E-06 5.8370E-06 4.2876E-06 3.2828E-06 2.5936E-06 2.1015E-06 1.7364E-06 1.4592E-06 1.2433E-06 1.0720E-06 9.3376E-07 8.2071E-07 6.4849E-07 5.2529E-07 4.3420E-07 3.6472E-07 3.1082E-07 2.6800E-07 2.3344E-07 1.3131E-07 8.4042E-08 5.8370E-08 3.2828E-08 2.1015E-08 9.3376E-09 5.2529E-09 2.3344E-09 1.3131E-09 8.4042E-10 5.8351E-10 3.2828E-10 2.1015E-10 9.3376E-11 5.2529E-11 2.3344E-11 1.3131E-11 8.4042E-12 5.8351E-12 3.2828E-12 2.1015E-12 9.3376E-13 5.2529E-13 2.3344E-13 1.3131E-13 8.4042E-14 5.8351E-14 3.2828E-14 2.1015E-14 INCOHERENT SCATTERING CROSS SECTION 1.0110E-02 1.3225E-02 3.5376E-03 1.9513E-02 2.9166E-02 3.7711E-02 3.7711E-02 4.6369E-02 6.0022E-02 7.0727E-02 7.9460E-02 9.3583E-02 1.0502E-01 1.2540E-01 1.3721E-01 1.4788E-01 1.5146E-01 1.5210E-01 1.5124E-01 1.4739E-01 1.4254E-01 1.3064E-01 1.2059E-01 1.1235E-01 1.0551E-01 9.9738E-02 9.4785E-02 9.0472E-02 8.6672E-02 8.3289E-02 8.0249E-02 7.7494E-02 7.2679E-02 7.0558E-02 6.8596E-02 6.5063E-02 6.3459E-02 6.2783E-02 5.6754E-02 5.5620E-02 5.3510E-02 5.1590E-02 4.9835E-02 4.6727E-02 4.4040E-02 4.3496E-02 4.1690E-02 3.7786E-02 3.4650E-02 2.8903E-02 2.4959E-02 2.2067E-02 1.9832E-02 1.8048E-02 1.6591E-02 1.5372E-02 1.4337E-02 1.3447E-02 1.2667E-02 1.1984E-02 1.1377E-02 1.0834E-02 9.9029E-03 9.1311E-03 8.4812E-03 7.9253E-03 7.4427E-03 7.0201E-03 6.6483E-03 5.2829E-03 4.4096E-03 3.7993E-03 2.9955E-03 2.4865E-03 1.7710E-03 1.3886E-03 9.8428E-04 7.7075E-04 6.3816E-04 5.4632E-04 4.2669E-04 3.5101E-04 2.4508E-04 1.8968E-04 1.3193E-04 1.0183E-04 8.3254E-05 7.0596E-05 5.4388E-05 4.4416E-05 3.0687E-05 2.3588E-05 1.6273E-05 1.2495E-05 1.0173E-05 8.5996E-06 6.5938E-06 5.3656E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.4264E+03 1.0615E+06 1.5134E+04 8.3141E+02 3.8275E+02 2.1466E+02 2.0677E+03 1.3366E+03 6.3215E+02 3.4725E+02 2.1034E+02 9.3639E+01 4.9299E+01 1.4945E+01 6.2896E+00 1.8136E+00 7.4032E-01 3.6697E-01 2.0602E-01 8.2559E-02 4.0509E-02 1.1144E-02 4.5073E-03 2.2629E-03 1.3060E-03 8.3057E-04 5.6717E-04 4.0899E-04 3.0819E-04 2.4062E-04 1.9288E-04 1.5780E-04 1.1236E-04 9.7771E-05 8.6586E-05 6.8798E-05 6.0774E-05 5.7412E-05 3.8894E-05 3.6343E-05 3.1844E-05 2.8152E-05 2.5172E-05 2.0705E-05 1.7515E-05 1.6931E-05 1.5123E-05 1.1807E-05 9.6400E-06 6.5544E-06 4.9393E-06 3.9514E-06 3.2903E-06 2.8152E-06 2.4602E-06 2.1823E-06 1.9626E-06 1.7809E-06 1.6305E-06 1.5034E-06 1.3946E-06 1.3005E-06 1.1456E-06 1.0235E-06 9.2494E-07 8.4381E-07 7.7544E-07 7.1760E-07 6.6764E-07 4.9524E-07 3.9345E-07 3.2640E-07 2.4339E-07 1.9419E-07 1.2882E-07 9.6400E-08 6.4116E-08 4.8040E-08 3.8406E-08 3.1983E-08 2.3983E-08 1.9175E-08 1.2776E-08 9.5799E-09 6.3854E-09 4.7890E-09 3.8312E-09 3.1927E-09 2.3945E-09 1.9156E-09 1.2767E-09 9.5743E-10 6.3835E-10 4.7871E-10 3.8293E-10 3.1908E-10 2.3926E-10 1.9156E-10 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1092E-05 6.6121E-05 1.3339E-04 2.2105E-04 3.2601E-04 5.7676E-04 8.6653E-04 9.3395E-04 1.1783E-03 1.8192E-03 2.4546E-03 3.9589E-03 5.2942E-03 6.4905E-03 7.5554E-03 8.5132E-03 9.3808E-03 1.0168E-02 1.0881E-02 1.1537E-02 1.2145E-02 1.2709E-02 1.3236E-02 1.3732E-02 1.4639E-02 1.5449E-02 1.6183E-02 1.6850E-02 1.7460E-02 1.8022E-02 1.8542E-02 2.0696E-02 2.2292E-02 2.3551E-02 2.5410E-02 2.6743E-02 2.8922E-02 3.0237E-02 3.1814E-02 3.2734E-02 3.3335E-02 3.3786E-02 3.4368E-02 3.4744E-02 3.5307E-02 3.5626E-02 3.5946E-02 3.6134E-02 3.6246E-02 3.6321E-02 3.6434E-02 3.6490E-02 3.6584E-02 3.6622E-02 3.6678E-02 3.6716E-02 3.6735E-02 3.6735E-02 3.6753E-02 3.6753E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1596E-07 3.4408E-06 1.2125E-05 4.9505E-05 9.8635E-05 1.5148E-04 2.0414E-04 2.5541E-04 3.0443E-04 3.5119E-04 3.9552E-04 4.3721E-04 4.7684E-04 5.1458E-04 5.5027E-04 5.8426E-04 6.4755E-04 7.0539E-04 7.5854E-04 8.0775E-04 8.5320E-04 8.9545E-04 9.3508E-04 1.1005E-03 1.2282E-03 1.3308E-03 1.4880E-03 1.6046E-03 1.8027E-03 1.9306E-03 2.0903E-03 2.1898E-03 2.2593E-03 2.3100E-03 2.3814E-03 2.4283E-03 2.4997E-03 2.5410E-03 2.5861E-03 2.6124E-03 2.6274E-03 2.6387E-03 2.6537E-03 2.6649E-03 2.6781E-03 2.6856E-03 2.6931E-03 2.6969E-03 2.7006E-03 2.7025E-03 2.7044E-03 2.7063E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Mg.mat0000644000276300001750000001666213136054446020335 0ustar solebliss00000000000000Mg 1 12 1.000000 2 4 94 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.3050E-03 1.3050E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 2.1457E+00 6.0692E+01 2.6520E+00 2.0300E+00 2.0300E+00 1.9562E+00 1.7805E+00 1.4993E+00 1.2785E+00 1.0909E+00 9.2965E-01 6.8039E-01 5.1165E-01 2.8841E-01 1.8799E-01 1.0050E-01 6.2612E-02 4.2543E-02 3.0724E-02 1.8152E-02 1.1967E-02 5.5229E-03 3.1566E-03 2.0365E-03 1.4207E-03 1.0468E-03 8.0303E-04 6.3538E-04 5.1512E-04 4.2593E-04 3.5803E-04 3.0521E-04 2.2943E-04 2.0169E-04 1.7866E-04 1.4304E-04 1.2914E-04 1.2366E-04 8.2682E-05 7.6448E-05 6.5930E-05 5.7434E-05 5.0464E-05 3.9853E-05 3.2310E-05 3.0947E-05 2.6741E-05 1.9142E-05 1.4363E-05 8.0799E-06 5.1710E-06 3.5902E-06 2.6388E-06 2.0201E-06 1.5962E-06 1.2929E-06 1.0684E-06 8.9768E-07 7.6488E-07 6.5957E-07 5.7459E-07 5.0496E-07 3.9892E-07 3.2334E-07 2.6710E-07 2.2446E-07 1.9126E-07 1.6489E-07 1.4363E-07 8.0799E-08 5.1710E-08 3.5902E-08 2.0199E-08 1.2926E-08 5.7459E-09 3.2310E-09 1.4363E-09 8.0799E-10 5.1710E-10 3.5902E-10 2.0199E-10 1.2926E-10 5.7459E-11 3.2310E-11 1.4363E-11 8.0799E-12 5.1710E-12 3.5902E-12 2.0198E-12 1.2926E-12 5.7459E-13 3.2310E-13 1.4363E-13 8.0799E-14 5.1710E-14 3.5902E-14 2.0199E-14 1.2926E-14 INCOHERENT SCATTERING CROSS SECTION 1.5431E-02 3.8208E+00 7.7386E-03 2.1717E-02 2.1717E-02 2.5347E-02 3.3103E-02 4.5615E-02 5.7260E-02 6.8435E-02 7.8866E-02 9.6805E-02 1.1068E-01 1.3177E-01 1.4225E-01 1.5151E-01 1.5436E-01 1.5431E-01 1.5280E-01 1.4802E-01 1.4262E-01 1.3006E-01 1.1982E-01 1.1150E-01 1.0463E-01 9.8868E-02 9.3931E-02 8.9637E-02 8.5854E-02 8.2485E-02 7.9461E-02 7.6725E-02 7.1950E-02 6.9847E-02 6.7902E-02 6.4399E-02 6.2811E-02 6.2142E-02 5.6170E-02 5.5048E-02 5.2962E-02 5.1066E-02 4.9334E-02 4.6259E-02 4.3583E-02 4.3038E-02 4.1240E-02 3.7385E-02 3.4292E-02 2.8593E-02 2.4701E-02 2.1831E-02 1.9621E-02 1.7860E-02 1.6417E-02 1.5211E-02 1.4188E-02 1.3305E-02 1.2535E-02 1.1858E-02 1.1256E-02 1.0721E-02 9.7994E-03 9.0363E-03 8.3921E-03 7.8420E-03 7.3638E-03 6.9476E-03 6.5784E-03 5.2280E-03 4.3633E-03 3.7587E-03 2.9658E-03 2.4609E-03 1.7525E-03 1.3739E-03 9.7400E-04 7.6265E-04 6.3133E-04 5.4064E-04 4.2221E-04 3.4738E-04 2.4257E-04 1.8774E-04 1.3055E-04 1.0077E-04 8.2385E-05 6.9872E-05 5.3816E-05 4.3955E-05 3.0377E-05 2.3350E-05 1.6103E-05 1.2361E-05 1.0067E-05 8.5110E-06 6.5264E-06 5.3098E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 9.2023E+02 4.3917E+05 5.8917E+03 4.5095E+02 5.4411E+03 4.0015E+03 1.9299E+03 6.5685E+02 2.9609E+02 1.5711E+02 9.2791E+01 3.9817E+01 2.0434E+01 5.9367E+00 2.4329E+00 6.7840E-01 2.7106E-01 1.3236E-01 7.3465E-02 2.8940E-02 1.4026E-02 3.7860E-03 1.5144E-03 7.5436E-04 4.3286E-04 2.7414E-04 1.8667E-04 1.3437E-04 1.0114E-04 7.8905E-05 6.3157E-05 5.1551E-05 3.6612E-05 3.1913E-05 2.8365E-05 2.2590E-05 1.9847E-05 1.8677E-05 1.2664E-05 1.1848E-05 1.0385E-05 9.1775E-06 8.2111E-06 6.7717E-06 5.7384E-06 5.5477E-06 4.9587E-06 3.8843E-06 3.1814E-06 2.1720E-06 1.6415E-06 1.3164E-06 1.0976E-06 9.4055E-07 8.2261E-07 7.3068E-07 6.5710E-07 5.9689E-07 5.4684E-07 5.0447E-07 4.6804E-07 4.3658E-07 3.8479E-07 3.4416E-07 3.1096E-07 2.8370E-07 2.6091E-07 2.4148E-07 2.2473E-07 1.6683E-07 1.3263E-07 1.1006E-07 8.2112E-08 6.5487E-08 4.3484E-08 3.2533E-08 2.1645E-08 1.6217E-08 1.2966E-08 1.0800E-08 8.0948E-09 6.4743E-09 4.3137E-09 3.2359E-09 2.1564E-09 1.6170E-09 1.2936E-09 1.0778E-09 8.0849E-10 6.4669E-10 4.3113E-10 3.2334E-10 2.1554E-10 1.6165E-10 1.2934E-10 1.0778E-10 8.0824E-11 6.4669E-11 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9361E-05 4.7464E-05 9.6460E-05 1.6073E-04 2.3801E-04 4.2304E-04 6.3653E-04 6.8609E-04 8.6591E-04 1.3398E-03 1.8122E-03 2.9336E-03 3.9297E-03 4.8242E-03 5.6195E-03 6.3356E-03 6.9847E-03 7.5744E-03 8.1096E-03 8.6002E-03 9.0561E-03 9.4798E-03 9.8763E-03 1.0248E-02 1.0929E-02 1.1539E-02 1.2091E-02 1.2594E-02 1.3053E-02 1.3479E-02 1.3870E-02 1.5488E-02 1.6700E-02 1.7661E-02 1.9108E-02 2.0144E-02 2.1812E-02 2.2822E-02 2.4019E-02 2.4715E-02 2.5174E-02 2.5521E-02 2.5967E-02 2.6239E-02 2.6685E-02 2.6908E-02 2.7156E-02 2.7305E-02 2.7379E-02 2.7429E-02 2.7528E-02 2.7577E-02 2.7627E-02 2.7676E-02 2.7701E-02 2.7726E-02 2.7751E-02 2.7751E-02 2.7751E-02 2.7775E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1475E-07 3.4046E-06 1.1997E-05 4.8985E-05 9.7598E-05 1.4990E-04 2.0211E-04 2.5273E-04 3.0129E-04 3.4763E-04 3.9148E-04 4.3311E-04 4.7226E-04 5.0967E-04 5.4510E-04 5.7905E-04 6.4198E-04 6.9946E-04 7.5249E-04 8.0130E-04 8.4664E-04 8.8901E-04 9.2841E-04 1.0942E-03 1.2225E-03 1.3261E-03 1.4854E-03 1.6038E-03 1.8048E-03 1.9341E-03 2.0964E-03 2.1968E-03 2.2666E-03 2.3184E-03 2.3915E-03 2.4408E-03 2.5149E-03 2.5595E-03 2.6066E-03 2.6363E-03 2.6537E-03 2.6660E-03 2.6834E-03 2.6933E-03 2.7082E-03 2.7156E-03 2.7230E-03 2.7305E-03 2.7329E-03 2.7354E-03 2.7379E-03 2.7379E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Be.mat0000644000276300001750000001642013136054446020310 0ustar solebliss00000000000000Beryllium 1 4 1.000000 1 96 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 5.9184E-01 8.1796E+01 8.6437E-01 4.9475E-01 4.1029E-01 2.9616E-01 2.3214E-01 1.9258E-01 1.6485E-01 1.2543E-01 9.7494E-02 5.5797E-02 3.5382E-02 1.7701E-02 1.0538E-02 6.9562E-03 4.9201E-03 2.8226E-03 1.8236E-03 8.1857E-04 4.6208E-04 2.9620E-04 2.9620E-04 2.0588E-04 1.1594E-04 9.1638E-05 7.4239E-05 6.1354E-05 5.1553E-05 4.3932E-05 3.3005E-05 2.9008E-05 2.5692E-05 2.0565E-05 1.8563E-05 1.7775E-05 1.1881E-05 1.0985E-05 9.4723E-06 8.2525E-06 7.2537E-06 5.7313E-06 4.6421E-06 4.4443E-06 3.8363E-06 2.7464E-06 2.0628E-06 1.1607E-06 7.4306E-07 5.1580E-07 3.7895E-07 2.9014E-07 2.2927E-07 1.8570E-07 1.5342E-07 1.2897E-07 1.0986E-07 9.4754E-08 8.2525E-08 7.2502E-08 5.7307E-08 4.6421E-08 3.8363E-08 3.2235E-08 2.7464E-08 2.3682E-08 2.0628E-08 1.1607E-08 7.4239E-09 5.1573E-09 2.9008E-09 1.8563E-09 8.2525E-10 4.6408E-10 2.0628E-10 1.1600E-10 7.4239E-11 5.1567E-11 2.9008E-11 1.8563E-11 8.2525E-12 4.6408E-12 2.0628E-12 1.1600E-12 7.4239E-13 5.1567E-13 2.9008E-13 1.8563E-13 8.2525E-14 4.6408E-14 2.0628E-14 1.1600E-14 7.4239E-15 5.1567E-15 2.9008E-15 1.8563E-15 INCOHERENT SCATTERING CROSS SECTION 2.0909E-02 1.9690E-01 8.3858E-03 3.7922E-02 5.2836E-02 7.3504E-02 8.6267E-02 9.5623E-02 1.0344E-01 1.1627E-01 1.2616E-01 1.4113E-01 1.4768E-01 1.5075E-01 1.4935E-01 1.4654E-01 1.4333E-01 1.3685E-01 1.3077E-01 1.1814E-01 1.0845E-01 1.0075E-01 1.0075E-01 9.4420E-02 8.4597E-02 8.0725E-02 7.7313E-02 7.4252E-02 7.1500E-02 6.9024E-02 6.4724E-02 6.2833E-02 6.1081E-02 5.7927E-02 5.6498E-02 5.5897E-02 5.0518E-02 4.9508E-02 4.7631E-02 4.5920E-02 4.4351E-02 4.1572E-02 3.9185E-02 3.8703E-02 3.7104E-02 3.3625E-02 3.0825E-02 2.5713E-02 2.2205E-02 1.9626E-02 1.7641E-02 1.6057E-02 1.4761E-02 1.3672E-02 1.2756E-02 1.1961E-02 1.1266E-02 1.0658E-02 1.0124E-02 9.6358E-03 8.8072E-03 8.1256E-03 7.5442E-03 7.0497E-03 6.6201E-03 6.2452E-03 5.9131E-03 4.6989E-03 3.9225E-03 3.3799E-03 2.6655E-03 2.2125E-03 1.5757E-03 1.2349E-03 8.7537E-04 6.8560E-04 5.6759E-04 4.8600E-04 3.7955E-04 3.1226E-04 2.1804E-04 1.6879E-04 1.1734E-04 9.0611E-05 7.4039E-05 6.2806E-05 4.8386E-05 3.9505E-05 2.7304E-05 2.0989E-05 1.4474E-05 1.1113E-05 9.0477E-06 7.6511E-06 5.8657E-06 4.7724E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.0354E+02 2.0370E+06 4.9240E+03 1.7915E+02 7.4239E+01 2.0902E+01 8.3661E+00 4.0808E+00 2.2593E+00 8.8205E-01 4.2292E-01 1.1006E-01 4.2071E-02 1.0765E-02 4.0802E-03 1.9191E-03 1.0391E-03 3.9365E-04 1.8590E-04 4.8179E-05 1.8810E-05 9.2218E-06 9.2218E-06 5.2342E-06 2.2238E-06 1.5904E-06 1.1934E-06 9.3103E-07 7.4106E-07 5.9641E-07 4.1969E-07 3.7360E-07 3.4465E-07 2.8003E-07 2.3227E-07 2.1009E-07 1.4280E-07 1.3525E-07 1.1864E-07 1.0391E-07 9.2666E-08 7.6934E-08 6.5780E-08 6.3668E-08 5.7109E-08 4.5039E-08 3.7086E-08 2.5600E-08 1.9485E-08 1.5710E-08 1.3151E-08 1.1300E-08 9.9030E-09 8.8138E-09 7.9452E-09 7.2235E-09 6.6261E-09 6.1182E-09 5.6832E-09 5.3050E-09 4.6822E-09 4.1904E-09 3.7915E-09 3.4621E-09 3.1854E-09 2.9495E-09 2.7464E-09 2.0421E-09 1.6251E-09 1.3498E-09 1.0077E-09 8.0387E-10 5.3418E-10 3.9993E-10 2.6615E-10 1.9946E-10 1.5944E-10 1.3284E-10 9.9565E-11 7.9652E-11 5.3084E-11 3.9806E-11 2.6528E-11 1.9900E-11 1.5917E-11 1.3264E-11 9.9498E-12 7.9585E-12 5.3050E-12 3.9786E-12 2.6522E-12 1.9893E-12 1.5910E-12 1.3264E-12 9.9431E-13 7.9585E-13 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 8.4196E-06 1.3687E-05 2.8066E-05 4.7063E-05 6.9985E-05 1.2494E-04 1.8830E-04 2.0301E-04 2.5646E-04 3.9813E-04 5.4006E-04 8.7738E-04 1.1781E-03 1.4480E-03 1.6893E-03 1.9071E-03 2.1049E-03 2.2853E-03 2.4490E-03 2.5994E-03 2.7397E-03 2.8707E-03 2.9930E-03 3.1079E-03 3.3197E-03 3.5102E-03 3.6826E-03 3.8409E-03 3.9859E-03 4.1203E-03 4.2445E-03 4.7591E-03 5.1446E-03 5.4514E-03 5.9151E-03 6.2512E-03 6.8092E-03 7.1633E-03 7.6044E-03 7.8650E-03 8.0387E-03 8.1724E-03 8.3461E-03 8.4664E-03 8.6401E-03 8.7337E-03 8.8406E-03 8.8940E-03 8.9341E-03 8.9609E-03 8.9943E-03 9.0143E-03 9.0410E-03 9.0611E-03 9.0745E-03 9.0878E-03 9.0878E-03 9.0945E-03 9.1012E-03 9.1012E-03 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.0315E-07 3.0607E-06 1.0785E-05 4.4036E-05 8.7738E-05 1.3478E-04 1.8169E-04 2.2726E-04 2.7096E-04 3.1266E-04 3.5222E-04 3.8957E-04 4.2492E-04 4.5873E-04 4.9074E-04 5.2135E-04 5.7835E-04 6.3053E-04 6.7891E-04 7.2302E-04 7.6445E-04 8.0320E-04 8.3929E-04 9.9231E-04 1.1126E-03 1.2095E-03 1.3612E-03 1.4761E-03 1.6752E-03 1.8082E-03 1.9813E-03 2.0915E-03 2.1704E-03 2.2299E-03 2.3141E-03 2.3722E-03 2.4611E-03 2.5132E-03 2.5713E-03 2.6047E-03 2.6261E-03 2.6415E-03 2.6615E-03 2.6749E-03 2.6929E-03 2.7030E-03 2.7130E-03 2.7197E-03 2.7230E-03 2.7257E-03 2.7283E-03 2.7304E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/W.mat0000644000276300001750000002205213136054446020166 0ustar solebliss00000000000000W 1 74 1.000000 10 5 3 3 3 3 8 3 3 8 80 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 1.8092E-03 1.8092E-03 1.8401E-03 1.8716E-03 1.8716E-03 2.0000E-03 2.2810E-03 2.2810E-03 2.4235E-03 2.5749E-03 2.5749E-03 2.6945E-03 2.8196E-03 2.8196E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.0207E-02 1.0207E-02 1.0855E-02 1.1544E-02 1.1544E-02 1.1819E-02 1.2100E-02 1.2100E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 6.9525E-02 6.9525E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.1445E+01 4.3486E+01 1.2569E+01 1.0963E+01 1.0639E+01 1.0639E+01 1.0605E+01 1.0570E+01 1.0570E+01 1.0429E+01 1.0118E+01 1.0118E+01 9.9718E+00 9.8169E+00 9.8169E+00 9.6899E+00 9.5548E+00 9.5548E+00 9.3616E+00 8.3691E+00 7.4814E+00 6.6953E+00 5.4178E+00 4.4482E+00 4.3631E+00 4.3631E+00 4.1077E+00 3.8586E+00 3.8586E+00 3.7663E+00 3.6752E+00 3.6752E+00 2.8861E+00 2.0358E+00 1.2038E+00 7.9367E-01 5.6143E-01 4.2058E-01 3.3182E-01 3.3182E-01 2.6421E-01 1.8147E-01 8.8768E-02 5.2900E-02 3.5203E-02 2.5117E-02 1.8812E-02 1.4609E-02 1.1670E-02 9.5352E-03 7.9363E-03 6.7084E-03 5.7453E-03 4.3505E-03 3.8357E-03 3.4067E-03 2.7392E-03 2.4770E-03 2.3735E-03 1.5965E-03 1.4775E-03 1.2761E-03 1.1134E-03 9.8007E-04 7.7626E-04 6.2924E-04 6.0238E-04 5.2001E-04 3.7294E-04 2.8062E-04 1.5805E-04 1.0122E-04 7.0327E-05 5.1656E-05 3.9569E-05 3.1265E-05 2.5327E-05 2.0931E-05 1.7590E-05 1.4989E-05 1.2925E-05 1.1258E-05 9.8955E-06 7.8188E-06 6.3317E-06 5.2344E-06 4.3991E-06 3.7473E-06 3.2314E-06 2.8147E-06 1.5834E-06 1.0135E-06 7.0359E-07 3.9569E-07 2.5333E-07 1.1258E-07 6.3317E-08 2.8147E-08 1.5834E-08 1.0135E-08 7.0359E-09 3.9569E-09 2.5333E-09 1.1258E-09 6.3317E-10 2.8147E-10 1.5834E-10 1.0135E-10 7.0359E-11 3.9569E-11 2.5333E-11 1.1258E-11 6.3317E-12 2.8147E-12 1.5834E-12 1.0135E-12 7.0359E-13 3.9569E-13 2.5333E-13 INCOHERENT SCATTERING CROSS SECTION 4.3401E-03 1.1729E-02 1.8326E-03 7.5142E-03 9.3812E-03 9.3812E-03 9.5663E-03 9.7546E-03 9.7546E-03 1.0524E-02 1.2192E-02 1.2192E-02 1.3016E-02 1.3885E-02 1.3885E-02 1.4573E-02 1.5294E-02 1.5294E-02 1.6325E-02 2.1864E-02 2.7109E-02 3.2025E-02 4.0683E-02 4.7922E-02 4.8609E-02 4.8609E-02 5.0699E-02 5.2802E-02 5.2802E-02 5.3604E-02 5.4407E-02 5.4407E-02 6.1974E-02 7.2456E-02 8.6442E-02 9.4271E-02 9.8627E-02 1.0099E-01 1.0217E-01 1.0217E-01 1.0259E-01 1.0203E-01 9.7383E-02 9.1847E-02 8.6688E-02 8.2119E-02 7.8113E-02 7.4585E-02 7.1454E-02 6.8656E-02 6.6136E-02 6.3841E-02 6.1735E-02 5.8030E-02 5.6405E-02 5.4909E-02 5.2166E-02 5.0870E-02 5.0313E-02 4.5563E-02 4.4674E-02 4.3004E-02 4.1469E-02 4.0059E-02 3.7566E-02 3.5442E-02 3.5016E-02 3.3591E-02 3.0450E-02 2.7911E-02 2.3296E-02 2.0122E-02 1.7786E-02 1.5988E-02 1.4553E-02 1.3377E-02 1.2398E-02 1.1563E-02 1.0845E-02 1.0217E-02 9.6662E-03 9.1749E-03 8.7392E-03 7.9858E-03 7.3635E-03 6.8427E-03 6.3939E-03 6.0041E-03 5.6635E-03 5.3621E-03 4.2615E-03 3.5573E-03 3.0646E-03 2.4170E-03 2.0060E-03 1.4288E-03 1.1202E-03 7.9400E-04 6.2170E-04 5.1459E-04 4.4056E-04 3.4426E-04 2.8317E-04 1.9775E-04 1.5307E-04 1.0642E-04 8.2151E-05 6.7149E-05 5.6962E-05 4.3893E-05 3.5835E-05 2.4760E-05 1.9034E-05 1.3128E-05 1.0079E-05 8.2086E-06 6.9377E-06 5.3195E-06 4.3270E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 3.6719E+03 3.6635E+05 1.4677E+04 1.6325E+03 1.0973E+03 1.3047E+03 1.9304E+03 2.8543E+03 3.1124E+03 3.9110E+03 2.8176E+03 3.2693E+03 2.8217E+03 2.4357E+03 2.5890E+03 2.3285E+03 2.0941E+03 2.1845E+03 1.8926E+03 9.4795E+02 5.4571E+02 3.4459E+02 1.6506E+02 9.2404E+01 8.7589E+01 2.2896E+02 1.9433E+02 1.6496E+02 2.2729E+02 2.1468E+02 2.0279E+02 2.3443E+02 1.3594E+02 6.3612E+01 2.1439E+01 9.7809E+00 5.2900E+00 3.1911E+00 2.1177E+00 1.0800E+01 7.4421E+00 4.1534E+00 1.3951E+00 6.3972E-01 3.5110E-01 2.1658E-01 1.4507E-01 1.0328E-01 7.7051E-02 5.9615E-02 4.7487E-02 3.8750E-02 3.2269E-02 2.3482E-02 2.0423E-02 1.7951E-02 1.4242E-02 1.2830E-02 1.2280E-02 8.2806E-03 7.6897E-03 6.7005E-03 5.9059E-03 5.2549E-03 4.2679E-03 3.5736E-03 3.4492E-03 3.0613E-03 2.3423E-03 1.8753E-03 1.2313E-03 9.0439E-04 7.0982E-04 5.8207E-04 4.9232E-04 4.2582E-04 3.7472E-04 3.3444E-04 3.0191E-04 2.7502E-04 2.5245E-04 2.3325E-04 2.1674E-04 1.8982E-04 1.6879E-04 1.5192E-04 1.3810E-04 1.2657E-04 1.1681E-04 1.0842E-04 7.9793E-05 6.3120E-05 5.2180E-05 3.8750E-05 3.0823E-05 2.0387E-05 1.5228E-05 1.0112E-05 7.5698E-06 6.0467E-06 5.0346E-06 3.7735E-06 3.0165E-06 2.0096E-06 1.5064E-06 1.0040E-06 7.5273E-07 6.0205E-07 5.0182E-07 3.7636E-07 3.0099E-07 2.0066E-07 1.5048E-07 1.0033E-07 7.5240E-08 6.0205E-08 5.0149E-08 3.7604E-08 3.0093E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.2271E-04 5.0446E-04 9.6228E-04 1.5104E-03 2.1124E-03 3.3872E-03 4.6841E-03 4.9690E-03 5.9671E-03 8.4090E-03 1.0672E-02 1.5651E-02 1.9827E-02 2.3417E-02 2.6585E-02 2.9431E-02 3.2022E-02 3.4393E-02 3.6588E-02 3.8652E-02 4.0552E-02 4.2353E-02 4.3991E-02 4.5563E-02 4.8347E-02 5.0837E-02 5.3097E-02 5.5161E-02 5.7028E-02 5.8764E-02 6.0336E-02 6.6822E-02 7.1637E-02 7.5371E-02 8.0874E-02 8.4739E-02 9.0864E-02 9.4500E-02 9.8693E-02 1.0112E-01 1.0269E-01 1.0380E-01 1.0531E-01 1.0629E-01 1.0767E-01 1.0842E-01 1.0927E-01 1.0970E-01 1.0999E-01 1.1016E-01 1.1042E-01 1.1058E-01 1.1081E-01 1.1094E-01 1.1104E-01 1.1111E-01 1.1117E-01 1.1117E-01 1.1124E-01 1.1124E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3468E-08 2.7705E-06 9.7546E-06 3.9765E-05 7.9105E-05 1.2126E-04 1.6322E-04 2.0377E-04 2.4249E-04 2.7921E-04 3.1393E-04 3.4656E-04 3.7735E-04 4.0650E-04 4.3401E-04 4.6022E-04 5.0870E-04 5.5259E-04 5.9288E-04 6.2956E-04 6.6330E-04 6.9475E-04 7.2390E-04 8.4346E-04 9.3354E-04 1.0046E-03 1.1104E-03 1.1867E-03 1.3119E-03 1.3892E-03 1.4829E-03 1.5389E-03 1.5769E-03 1.6044E-03 1.6427E-03 1.6679E-03 1.7053E-03 1.7266E-03 1.7495E-03 1.7632E-03 1.7714E-03 1.7773E-03 1.7852E-03 1.7901E-03 1.7967E-03 1.8006E-03 1.8042E-03 1.8065E-03 1.8081E-03 1.8088E-03 1.8098E-03 1.8107E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/N.mat0000644000276300001750000001642013136054446020157 0ustar solebliss00000000000000Nitrogen 1 7 1.000000 1 96 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.2911E+00 4.2730E+01 1.6014E+00 1.1755E+00 1.0456E+00 8.0013E-01 6.1095E-01 4.7724E-01 3.8381E-01 2.6854E-01 2.0302E-01 1.2060E-01 8.0400E-02 4.2302E-02 2.5835E-02 1.7378E-02 1.2473E-02 7.2962E-03 4.7681E-03 2.1695E-03 1.2309E-03 7.9120E-04 7.9120E-04 5.5076E-04 3.1046E-04 2.4544E-04 1.9889E-04 1.6444E-04 1.3823E-04 1.1781E-04 8.8504E-05 7.7777E-05 6.8881E-05 5.5141E-05 4.9788E-05 4.7681E-05 3.1876E-05 2.9468E-05 2.5409E-05 2.2138E-05 1.9462E-05 1.5383E-05 1.2456E-05 1.1922E-05 1.0286E-05 7.3638E-06 5.5334E-06 3.1141E-06 1.9928E-06 1.3840E-06 1.0168E-06 7.7863E-07 6.1525E-07 4.9831E-07 4.1176E-07 3.4598E-07 2.9481E-07 2.5418E-07 2.2142E-07 1.9464E-07 1.5379E-07 1.2456E-07 1.0293E-07 8.6505E-08 7.3693E-08 6.3546E-08 5.5377E-08 3.1137E-08 1.9928E-08 1.3840E-08 7.7820E-09 4.9831E-09 2.2138E-09 1.2451E-09 5.5334E-10 3.1132E-10 1.9924E-10 1.3836E-10 7.7820E-11 4.9831E-11 2.2138E-11 1.2451E-11 5.5334E-12 3.1132E-12 1.9924E-12 1.3836E-12 7.7820E-13 4.9831E-13 2.2138E-13 1.2451E-13 5.5334E-14 3.1132E-14 1.9924E-14 1.3836E-14 7.7820E-15 4.9831E-15 INCOHERENT SCATTERING CROSS SECTION 1.1007E-02 3.9908E-03 3.4674E-03 2.2349E-02 3.5105E-02 5.9848E-02 8.0228E-02 9.5663E-02 1.0723E-01 1.2288E-01 1.3298E-01 1.4829E-01 1.5672E-01 1.6338E-01 1.6385E-01 1.6192E-01 1.5908E-01 1.5267E-01 1.4631E-01 1.3264E-01 1.2185E-01 1.1324E-01 1.1324E-01 1.0620E-01 9.5233E-02 9.0840E-02 8.6978E-02 8.3551E-02 8.0486E-02 7.7722E-02 7.2881E-02 7.0726E-02 6.8718E-02 6.5150E-02 6.3589E-02 6.2944E-02 5.6882E-02 5.5728E-02 5.3600E-02 5.1679E-02 4.9933E-02 4.6834E-02 4.4112E-02 4.3553E-02 4.1718E-02 3.7821E-02 3.4710E-02 2.8953E-02 2.5001E-02 2.2099E-02 1.9863E-02 1.8079E-02 1.6617E-02 1.5396E-02 1.4360E-02 1.3466E-02 1.2688E-02 1.2004E-02 1.1394E-02 1.0852E-02 9.9188E-03 9.1449E-03 8.4957E-03 7.9368E-03 7.4553E-03 7.0339E-03 6.6599E-03 5.2926E-03 4.4155E-03 3.8054E-03 3.0010E-03 2.4911E-03 1.7740E-03 1.3909E-03 9.8587E-04 7.7218E-04 6.3890E-04 5.4732E-04 4.2737E-04 3.5161E-04 2.4554E-04 1.9004E-04 1.3212E-04 1.0198E-04 8.3409E-05 7.0726E-05 5.4474E-05 4.4499E-05 3.0741E-05 2.3634E-05 1.6299E-05 1.2516E-05 1.0190E-05 8.6118E-06 6.6040E-06 5.3743E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 3.3102E+03 1.0776E+07 2.3144E+04 1.0813E+03 4.7595E+02 1.4476E+02 6.0966E+01 3.0870E+01 1.7593E+01 7.1672E+00 3.5432E+00 9.6738E-01 3.8076E-01 1.0095E-01 3.9069E-02 1.8660E-02 1.0185E-02 3.9185E-03 1.8690E-03 4.9186E-04 1.9416E-04 9.5809E-05 9.5809E-05 5.4603E-05 2.3337E-05 1.6731E-05 1.2563E-05 9.7938E-06 7.8207E-06 6.3501E-06 4.4937E-06 3.9456E-06 3.5529E-06 2.8490E-06 2.4524E-06 2.2757E-06 1.5448E-06 1.4518E-06 1.2731E-06 1.1217E-06 1.0026E-06 8.2937E-07 7.0640E-07 6.8361E-07 6.1276E-07 4.8181E-07 3.9555E-07 2.7185E-07 2.0633E-07 1.6600E-07 1.3874E-07 1.1909E-07 1.0430E-07 9.2739E-08 8.3495E-08 7.5928E-08 6.9608E-08 6.4234E-08 5.9633E-08 5.5678E-08 4.9100E-08 4.3940E-08 3.9731E-08 3.6266E-08 3.3359E-08 3.0883E-08 2.8746E-08 2.1360E-08 1.6991E-08 1.4107E-08 1.0534E-08 8.4011E-09 5.5807E-09 4.1769E-09 2.7796E-09 2.0827E-09 1.6652E-09 1.3870E-09 1.0396E-09 8.3151E-10 5.5420E-10 4.1559E-10 2.7701E-10 2.0771E-10 1.6617E-10 1.3849E-10 1.0383E-10 8.3065E-11 5.5377E-11 4.1537E-11 2.7689E-11 2.0766E-11 1.6613E-11 1.3844E-11 1.0383E-11 8.3065E-12 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.6901E-05 2.7408E-05 5.5978E-05 9.3599E-05 1.3891E-04 2.4744E-04 3.7263E-04 4.0170E-04 5.0730E-04 7.8655E-04 1.0658E-03 1.7297E-03 2.3208E-03 2.8531E-03 3.3265E-03 3.7539E-03 4.1417E-03 4.4929E-03 4.8154E-03 5.1078E-03 5.3829E-03 5.6366E-03 5.8774E-03 6.1009E-03 6.5094E-03 6.8748E-03 7.2102E-03 7.5112E-03 7.7906E-03 8.0443E-03 8.2808E-03 9.2567E-03 9.9962E-03 1.0585E-02 1.1467E-02 1.2120E-02 1.3204E-02 1.3883E-02 1.4696E-02 1.5177E-02 1.5500E-02 1.5732E-02 1.6041E-02 1.6248E-02 1.6544E-02 1.6712E-02 1.6888E-02 1.6987E-02 1.7047E-02 1.7090E-02 1.7146E-02 1.7181E-02 1.7232E-02 1.7258E-02 1.7284E-02 1.7301E-02 1.7310E-02 1.7314E-02 1.7323E-02 1.7327E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.1615E-07 3.4460E-06 1.2142E-05 4.9573E-05 9.8802E-05 1.5173E-04 2.0461E-04 2.5590E-04 3.0513E-04 3.5204E-04 3.9654E-04 4.3854E-04 4.7853E-04 5.1636E-04 5.5248E-04 5.8688E-04 6.5094E-04 7.0941E-04 7.6358E-04 8.1346E-04 8.5989E-04 9.0332E-04 9.4373E-04 1.1140E-03 1.2468E-03 1.3543E-03 1.5216E-03 1.6476E-03 1.8660E-03 2.0100E-03 2.1936E-03 2.3079E-03 2.3879E-03 2.4473E-03 2.5298E-03 2.5857E-03 2.6695E-03 2.7173E-03 2.7701E-03 2.8011E-03 2.8200E-03 2.8333E-03 2.8514E-03 2.8626E-03 2.8781E-03 2.8871E-03 2.8957E-03 2.9013E-03 2.9043E-03 2.9064E-03 2.9090E-03 2.9107E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Rn.mat0000644000276300001750000002206013136054446020336 0ustar solebliss00000000000000Rn 1 86 1.000000 11 4 4 3 3 3 3 6 3 3 8 79 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0970E-03 1.0970E-03 1.5000E-03 2.0000E-03 2.8924E-03 2.8924E-03 3.0000E-03 3.0215E-03 3.0215E-03 3.2696E-03 3.5380E-03 3.5380E-03 4.0000E-03 4.1590E-03 4.1590E-03 4.3175E-03 4.4820E-03 4.4820E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.4619E-02 1.4619E-02 1.5000E-02 1.7337E-02 1.7337E-02 1.7689E-02 1.8049E-02 1.8049E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 9.8404E-02 9.8404E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.2825E+01 2.1224E+02 1.4589E+01 1.2724E+01 1.2724E+01 1.2279E+01 1.1658E+01 1.0546E+01 1.0546E+01 1.0416E+01 1.0391E+01 1.0391E+01 1.0107E+01 9.8028E+00 9.8028E+00 9.3092E+00 9.1464E+00 9.1464E+00 8.9899E+00 8.8318E+00 8.8318E+00 8.3517E+00 7.5216E+00 6.1654E+00 5.1347E+00 3.5425E+00 3.5425E+00 3.4448E+00 2.9132E+00 2.9132E+00 2.8447E+00 2.7776E+00 2.7776E+00 2.4518E+00 1.4422E+00 9.6753E-01 6.9195E-01 5.1862E-01 3.2577E-01 2.3175E-01 2.3175E-01 2.2560E-01 1.1183E-01 6.6808E-02 4.4599E-02 3.1953E-02 2.4031E-02 1.8730E-02 1.5004E-02 1.2287E-02 1.0247E-02 8.6744E-03 7.4366E-03 5.6415E-03 4.9801E-03 4.4297E-03 3.5695E-03 3.2278E-03 3.0922E-03 2.0851E-03 1.9308E-03 1.6689E-03 1.4566E-03 1.2822E-03 1.0158E-03 8.2486E-04 7.9014E-04 6.8311E-04 4.9017E-04 3.6862E-04 2.0786E-04 1.3318E-04 9.2522E-05 6.8001E-05 5.2079E-05 4.1148E-05 3.3336E-05 2.7559E-05 2.3159E-05 1.9733E-05 1.7015E-05 1.4824E-05 1.3028E-05 1.0294E-05 8.3381E-06 6.8924E-06 5.7911E-06 4.9340E-06 4.2558E-06 3.7079E-06 2.0851E-06 1.3343E-06 9.2658E-07 5.2133E-07 3.3363E-07 1.4826E-07 8.3408E-08 3.7079E-08 2.0851E-08 1.3345E-08 9.2658E-09 5.2133E-09 3.3363E-09 1.4826E-09 8.3408E-10 3.7079E-10 2.0851E-10 1.3345E-10 9.2658E-11 5.2133E-11 3.3363E-11 1.4826E-11 8.3408E-12 3.7079E-12 2.0851E-12 1.3345E-12 9.2658E-13 5.2133E-13 3.3363E-13 INCOHERENT SCATTERING CROSS SECTION 3.1899E-03 4.7439E+00 1.3429E-03 3.7269E-03 3.7269E-03 6.1139E-03 9.1925E-03 1.4598E-02 1.4598E-02 1.5225E-02 1.5350E-02 1.5350E-02 1.6761E-02 1.8236E-02 1.8236E-02 2.0664E-02 2.1464E-02 2.1464E-02 2.2233E-02 2.3013E-02 2.3013E-02 2.5410E-02 2.9701E-02 3.7486E-02 4.4376E-02 5.6880E-02 5.6880E-02 5.7721E-02 6.2414E-02 6.2414E-02 6.3065E-02 6.3716E-02 6.3716E-02 6.7025E-02 7.9611E-02 8.7287E-02 9.1844E-02 9.4421E-02 9.6401E-02 9.6265E-02 9.6265E-02 9.6211E-02 9.2386E-02 8.7450E-02 8.2715E-02 7.8471E-02 7.4733E-02 7.1419E-02 6.8458E-02 6.5804E-02 6.3417E-02 6.1247E-02 5.9258E-02 5.5723E-02 5.4141E-02 5.2665E-02 5.0024E-02 4.8851E-02 4.8363E-02 4.3806E-02 4.2942E-02 4.1339E-02 3.9873E-02 3.8518E-02 3.6111E-02 3.4068E-02 3.3662E-02 3.2299E-02 2.9289E-02 2.6851E-02 2.2413E-02 1.9362E-02 1.7116E-02 1.5385E-02 1.4004E-02 1.2873E-02 1.1929E-02 1.1127E-02 1.0435E-02 9.8300E-03 9.3010E-03 8.8291E-03 8.4086E-03 7.6871E-03 7.0877E-03 6.5831E-03 6.1519E-03 5.7775E-03 5.4493E-03 5.1591E-03 4.1012E-03 3.4231E-03 2.9484E-03 2.3259E-03 1.9307E-03 1.3749E-03 1.0779E-03 7.6410E-04 5.9837E-04 4.9530E-04 4.2423E-04 3.3119E-04 2.7260E-04 1.9031E-04 1.4729E-04 1.0242E-04 7.9068E-05 6.4638E-05 5.4819E-05 4.2233E-05 3.4475E-05 2.3829E-05 1.8320E-05 1.2635E-05 9.6998E-06 7.8987E-06 6.6754E-06 5.1184E-06 4.1663E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 5.8128E+03 4.0773E+05 2.0897E+04 4.9014E+03 5.0045E+03 2.7062E+03 1.4783E+03 6.5289E+02 2.3094E+03 1.5431E+03 1.5138E+03 2.4591E+03 1.9006E+03 1.4691E+03 1.7002E+03 1.2570E+03 1.1392E+03 1.2081E+03 1.1036E+03 1.0082E+03 1.0522E+03 8.0804E+02 5.1645E+02 2.5144E+02 1.4249E+02 5.3381E+01 1.3079E+02 1.2236E+02 8.2594E+01 1.1552E+02 1.1004E+02 1.0484E+02 1.2122E+02 9.3119E+01 3.2550E+01 1.5184E+01 8.3408E+00 5.0940E+00 2.3265E+00 1.3207E+00 5.9349E+00 5.7640E+00 2.0105E+00 9.4692E-01 5.3102E-01 3.3146E-01 2.2466E-01 1.6164E-01 1.2157E-01 9.4692E-02 7.5877E-02 6.2224E-02 5.2016E-02 3.8061E-02 3.3173E-02 2.9212E-02 2.3239E-02 2.0951E-02 2.0056E-02 1.3538E-02 1.2566E-02 1.0938E-02 9.6374E-03 8.5819E-03 6.9805E-03 5.8264E-03 5.6148E-03 4.9648E-03 3.7935E-03 3.0407E-03 1.9882E-03 1.4558E-03 1.1398E-03 9.3281E-04 7.8743E-04 6.8028E-04 5.9810E-04 5.3327E-04 4.8092E-04 4.3779E-04 4.0172E-04 3.7079E-04 3.4448E-04 3.0135E-04 2.6777E-04 2.4087E-04 2.1884E-04 2.0048E-04 1.8496E-04 1.7164E-04 1.2616E-04 9.9710E-05 8.2405E-05 6.1166E-05 4.8607E-05 3.2143E-05 2.4003E-05 1.5933E-05 1.1924E-05 9.5262E-06 7.9339E-06 5.9430E-06 4.7522E-06 3.1654E-06 2.3726E-06 1.5811E-06 1.1856E-06 9.4828E-07 7.9014E-07 5.9267E-07 4.7414E-07 3.1600E-07 2.3699E-07 1.5797E-07 1.1848E-07 9.4800E-08 7.8987E-08 5.9240E-08 4.7387E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.0063E-04 6.3367E-04 1.2273E-03 1.9364E-03 2.7002E-03 4.2524E-03 5.7694E-03 6.1003E-03 7.2444E-03 9.9497E-03 1.2372E-02 1.7590E-02 2.1952E-02 2.5714E-02 2.9023E-02 3.2007E-02 3.4719E-02 3.7242E-02 3.9575E-02 4.1718E-02 4.3752E-02 4.5651E-02 4.7414E-02 4.9068E-02 5.2052E-02 5.4710E-02 5.7124E-02 5.9349E-02 6.1356E-02 6.3200E-02 6.4909E-02 7.1853E-02 7.7034E-02 8.1021E-02 8.6907E-02 9.1057E-02 9.7594E-02 1.0147E-01 1.0600E-01 1.0858E-01 1.1029E-01 1.1151E-01 1.1311E-01 1.1417E-01 1.1566E-01 1.1647E-01 1.1737E-01 1.1786E-01 1.1815E-01 1.1837E-01 1.1864E-01 1.1881E-01 1.1905E-01 1.1919E-01 1.1932E-01 1.1940E-01 1.1943E-01 1.1946E-01 1.1951E-01 1.1954E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9931E-08 2.6647E-06 9.3797E-06 3.8219E-05 7.6003E-05 1.1650E-04 1.5673E-04 1.9562E-04 2.3273E-04 2.6791E-04 3.0108E-04 3.3228E-04 3.6184E-04 3.8951E-04 4.1609E-04 4.4105E-04 4.8716E-04 5.2893E-04 5.6717E-04 6.0189E-04 6.3417E-04 6.6401E-04 6.9141E-04 8.0479E-04 8.8996E-04 9.5696E-04 1.0568E-03 1.1287E-03 1.2461E-03 1.3188E-03 1.4070E-03 1.4593E-03 1.4948E-03 1.5206E-03 1.5561E-03 1.5797E-03 1.6142E-03 1.6340E-03 1.6549E-03 1.6673E-03 1.6749E-03 1.6804E-03 1.6874E-03 1.6918E-03 1.6977E-03 1.7013E-03 1.7045E-03 1.7067E-03 1.7080E-03 1.7088E-03 1.7097E-03 1.7105E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/incoh.dict0000644000276300001750000014634113136054446021232 0ustar solebliss00000000000000[ISCADT] XSVAL=[ 0.0 5.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 2.5000E-02 3.0000E-02 4.0000E-02 5.0000E-02 7.0000E-02 9.0000E-02 1.0000E-01 1.2500E-01 1.5000E-01 1.7500E-01 2.0000E-01 2.5000E-01 3.0000E-01 4.0000E-01 5.0000E-01 6.0000E-01 7.0000E-01 8.0000E-01 9.0000E-01 1.0000E+00 1.2500E+00 1.5000E+00 2.0000E+00 2.5000E+00 3.0000E+00 3.5000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 1.0000E+01 1.5000E+01 2.0000E+01 5.0000E+01 8.0000E+01 1.0000E+02 1.0000E+03 1.0000E+06 1.0000E+09] SCATF=[ 0.0 1.1047E-03 4.4098E-03 9.8880E-03 1.7494E-02 2.7167E-02 3.8828E-02 6.7731E-02 1.0332E-01 1.9024E-01 2.9039E-01 3.4257E-01 4.7131E-01 5.8874E-01 6.8851E-01 7.6885E-01 8.7768E-01 9.3687E-01 9.8298E-01 9.9502E-01 9.9837E-01 9.9941E-01 9.9977E-01 9.9990E-01 9.9995E-01 9.9999E-01 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 1.0000E+00 0.0 8.3186E-04 3.3274E-03 7.4867E-03 1.3310E-02 2.0590E-02 2.9900E-02 5.1900E-02 8.0540E-02 1.5347E-01 2.4502E-01 2.9575E-01 4.3215E-01 5.8352E-01 7.3603E-01 8.8056E-01 1.1457E+00 1.3624E+00 1.6566E+00 1.8175E+00 1.9023E+00 1.9467E+00 1.9702E+00 1.9829E+00 1.9899E+00 1.9971E+00 1.9990E+00 1.9999E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 2.0000E+00 0.0 6.6000E-03 2.6500E-02 5.8475E-02 1.0220E-01 1.5449E-01 2.1640E-01 3.5410E-01 4.9980E-01 7.6520E-01 9.6290E-01 1.0328E+00 1.1721E+00 1.2458E+00 1.3297E+00 1.4176E+00 1.6052E+00 1.7953E+00 2.1428E+00 2.4166E+00 2.6129E+00 2.7462E+00 2.8339E+00 2.8909E+00 2.9278E+00 2.9732E+00 2.9892E+00 2.9978E+00 2.9994E+00 2.9998E+00 2.9999E+00 3.0000E+00 3.0000E+00 3.0000E+00 3.0000E+00 3.0000E+00 3.0000E+00 3.0000E+00 3.0000E+00 3.0000E+00 3.0000E+00 3.0000E+00 3.0000E+00 3.0000E+00 3.0000E+00 0.0 4.3000E-03 1.7700E-02 3.9679E-02 7.0200E-02 1.0834E-01 1.5440E-01 2.6560E-01 3.9810E-01 6.9980E-01 1.0165E+00 1.1706E+00 1.5028E+00 1.7742E+00 1.9657E+00 2.1207E+00 2.3215E+00 2.4705E+00 2.7437E+00 3.0053E+00 3.2374E+00 3.4291E+00 3.5794E+00 3.6931E+00 3.7771E+00 3.9000E+00 3.9538E+00 3.9890E+00 3.9970E+00 3.9990E+00 3.9997E+00 3.9999E+00 4.0000E+00 4.0000E+00 4.0000E+00 4.0000E+00 4.0000E+00 4.0000E+00 4.0000E+00 4.0000E+00 4.0000E+00 4.0000E+00 4.0000E+00 4.0000E+00 4.0000E+00 0.0 3.9000E-03 1.5650E-02 3.5033E-02 6.2000E-02 9.5926E-02 1.3702E-01 2.3761E-01 3.5989E-01 6.5072E-01 9.7789E-01 1.1474E+00 1.5485E+00 1.9314E+00 2.2558E+00 2.5308E+00 2.9329E+00 3.1899E+00 3.4991E+00 3.7318E+00 3.9476E+00 4.1462E+00 4.3202E+00 4.4689E+00 4.5896E+00 4.7918E+00 4.8955E+00 4.9729E+00 4.9922E+00 4.9974E+00 4.9991E+00 4.9996E+00 4.9999E+00 5.0000E+00 5.0000E+00 5.0000E+00 5.0000E+00 5.0000E+00 5.0000E+00 5.0000E+00 5.0000E+00 5.0000E+00 5.0000E+00 5.0000E+00 5.0000E+00 0.0 3.7900E-03 1.2990E-02 2.9534E-02 5.1640E-02 8.0494E-02 1.1570E-01 2.0150E-01 3.0860E-01 5.6877E-01 8.7559E-01 1.0392E+00 1.4476E+00 1.8662E+00 2.2532E+00 2.6041E+00 3.1979E+00 3.6426E+00 4.1837E+00 4.4777E+00 4.6903E+00 4.8778E+00 5.0511E+00 5.2085E+00 5.3485E+00 5.6153E+00 5.7806E+00 5.9302E+00 5.9770E+00 5.9917E+00 5.9968E+00 5.9986E+00 5.9997E+00 5.9999E+00 6.0000E+00 6.0001E+00 6.0000E+00 6.0000E+00 6.0000E+00 6.0000E+00 6.0000E+00 6.0000E+00 6.0000E+00 6.0000E+00 6.0000E+00 0.0 3.0000E-03 1.3000E-02 2.9200E-02 5.1700E-02 8.0400E-02 1.1510E-01 2.0170E-01 3.1000E-01 5.7970E-01 9.0420E-01 1.0800E+00 1.5397E+00 2.0030E+00 2.4468E+00 2.8580E+00 3.5586E+00 4.0970E+00 4.7920E+00 5.1820E+00 5.4370E+00 5.6350E+00 5.8090E+00 5.9680E+00 6.1130E+00 6.4157E+00 6.6300E+00 6.8599E+00 6.9470E+00 6.9790E+00 6.9913E+00 6.9960E+00 6.9991E+00 6.9998E+00 6.9999E+00 7.0000E+00 7.0000E+00 7.0000E+00 7.0000E+00 7.0000E+00 7.0000E+00 7.0000E+00 7.0000E+00 7.0000E+00 7.0000E+00 0.0 3.0000E-03 1.1000E-02 2.5300E-02 4.4800E-02 6.9800E-02 1.0010E-01 1.7610E-01 2.7100E-01 5.1370E-01 8.1180E-01 9.7700E-01 1.4199E+00 1.8850E+00 2.3497E+00 2.7990E+00 3.6135E+00 4.2930E+00 5.2570E+00 5.8280E+00 6.1750E+00 6.4110E+00 6.5960E+00 6.7550E+00 6.9010E+00 7.2159E+00 7.4620E+00 7.7642E+00 7.8999E+00 7.9570E+00 7.9807E+00 7.9910E+00 7.9977E+00 7.9993E+00 7.9998E+00 8.0000E+00 8.0000E+00 8.0000E+00 8.0000E+00 8.0000E+00 8.0000E+00 8.0000E+00 8.0000E+00 8.0000E+00 8.0000E+00 0.0 2.0000E-03 1.0000E-02 2.2400E-02 3.9700E-02 6.1900E-02 8.8800E-02 1.5650E-01 2.4200E-01 4.6100E-01 7.3490E-01 8.8800E-01 1.3084E+00 1.7610E+00 2.2271E+00 2.6910E+00 3.5693E+00 4.3470E+00 5.5520E+00 6.3390E+00 6.8320E+00 7.1510E+00 7.3760E+00 7.5520E+00 7.7030E+00 8.0243E+00 8.2880E+00 8.6479E+00 8.8345E+00 8.9230E+00 8.9631E+00 8.9820E+00 8.9951E+00 8.9985E+00 8.9995E+00 9.0000E+00 9.0000E+00 9.0000E+00 9.0000E+00 9.0000E+00 9.0000E+00 9.0000E+00 9.0000E+00 9.0000E+00 9.0000E+00 0.0 2.0000E-03 9.0000E-03 2.0100E-02 3.5700E-02 5.5600E-02 7.9900E-02 1.4100E-01 2.1800E-01 4.1770E-01 6.6940E-01 8.1200E-01 1.2051E+00 1.6370E+00 2.0885E+00 2.5470E+00 3.4417E+00 4.2690E+00 5.6440E+00 6.6400E+00 7.3200E+00 7.7740E+00 8.0850E+00 8.3120E+00 8.4900E+00 8.8361E+00 9.1130E+00 9.5175E+00 9.7522E+00 9.8750E+00 9.9368E+00 9.9670E+00 9.9906E+00 9.9969E+00 9.9989E+00 1.0000E+01 1.0000E+01 1.0000E+01 1.0000E+01 1.0000E+01 1.0000E+01 1.0000E+01 1.0000E+01 1.0000E+01 1.0000E+01 0.0 9.0000E-03 3.6000E-02 7.9300E-02 1.3780E-01 2.0920E-01 2.9120E-01 4.7640E-01 6.7400E-01 1.0490E+00 1.3642E+00 1.5030E+00 1.8282E+00 2.1600E+00 2.5159E+00 2.8910E+00 3.6672E+00 4.4310E+00 5.8040E+00 6.9030E+00 7.7240E+00 8.3130E+00 8.7290E+00 9.0280E+00 9.2520E+00 9.6465E+00 9.9390E+00 1.0376E+01 1.0654E+01 1.0813E+01 1.0900E+01 1.0946E+01 1.0983E+01 1.0994E+01 1.0998E+01 1.0999E+01 1.1000E+01 1.1000E+01 1.1000E+01 1.1000E+01 1.1000E+01 1.1000E+01 1.1000E+01 1.1000E+01 1.1000E+01 0.0 1.0000E-02 4.0000E-02 8.9700E-02 1.5720E-01 2.4110E-01 3.3930E-01 5.7020E-01 8.3100E-01 1.3721E+00 1.8578E+00 2.0660E+00 2.4913E+00 2.8290E+00 3.1354E+00 3.4440E+00 4.0957E+00 4.7710E+00 6.0640E+00 7.1810E+00 8.0860E+00 8.7840E+00 9.3040E+00 9.6890E+00 9.9750E+00 1.0449E+01 1.0766E+01 1.1229E+01 1.1543E+01 1.1738E+01 1.1852E+01 1.1916E+01 1.1972E+01 1.1990E+01 1.1996E+01 1.1998E+01 1.2000E+01 1.2000E+01 1.2000E+01 1.2000E+01 1.2000E+01 1.2000E+01 1.2000E+01 1.2000E+01 1.2000E+01 0.0 1.0000E-02 3.9000E-02 8.7100E-02 1.5300E-01 2.3530E-01 3.3250E-01 5.6420E-01 8.3200E-01 1.4192E+00 1.9967E+00 2.2640E+00 2.8508E+00 3.3240E+00 3.7123E+00 4.0470E+00 4.6534E+00 5.2500E+00 6.4350E+00 7.5230E+00 8.4590E+00 9.2250E+00 9.8300E+00 1.0296E+01 1.0652E+01 1.1233E+01 1.1592E+01 1.2083E+01 1.2425E+01 1.2652E+01 1.2794E+01 1.2879E+01 1.2957E+01 1.2984E+01 1.2993E+01 1.2997E+01 1.2999E+01 1.3000E+01 1.3000E+01 1.3000E+01 1.3000E+01 1.3000E+01 1.3000E+01 1.3000E+01 1.3000E+01 0.0 9.0000E-03 3.5000E-02 7.9000E-02 1.3910E-01 2.1480E-01 3.0490E-01 5.2290E-01 7.8200E-01 1.3724E+00 1.9915E+00 2.2930E+00 2.9884E+00 3.5870E+00 4.0921E+00 4.5200E+00 5.2175E+00 5.8080E+00 6.9030E+00 7.9370E+00 8.8670E+00 9.6670E+00 1.0330E+01 1.0864E+01 1.1286E+01 1.1990E+01 1.2408E+01 1.2937E+01 1.3302E+01 1.3558E+01 1.3726E+01 1.3832E+01 1.3937E+01 1.3975E+01 1.3990E+01 1.3995E+01 1.3999E+01 1.4000E+01 1.4000E+01 1.4000E+01 1.4000E+01 1.4000E+01 1.4000E+01 1.4000E+01 1.4000E+01 0.0 8.0000E-03 3.2000E-02 7.1200E-02 1.2560E-01 1.9440E-01 2.7660E-01 4.7730E-01 7.1900E-01 1.2840E+00 1.8986E+00 2.2060E+00 2.9435E+00 3.6110E+00 4.2057E+00 4.7320E+00 5.6106E+00 6.3120E+00 7.4350E+00 8.4190E+00 9.3230E+00 1.0131E+01 1.0827E+01 1.1411E+01 1.1888E+01 1.2716E+01 1.3209E+01 1.3790E+01 1.4177E+01 1.4457E+01 1.4650E+01 1.4778E+01 1.4911E+01 1.4963E+01 1.4984E+01 1.4993E+01 1.4998E+01 1.5000E+01 1.5000E+01 1.5000E+01 1.5000E+01 1.5000E+01 1.5000E+01 1.5000E+01 1.5000E+01 0.0 7.0000E-03 2.9000E-02 6.4600E-02 1.1420E-01 1.7700E-01 2.5260E-01 4.3880E-01 6.6600E-01 1.2127E+00 1.8313E+00 2.1510E+00 2.9397E+00 3.6800E+00 4.3545E+00 4.9600E+00 5.9838E+00 6.7950E+00 8.0020E+00 8.9600E+00 9.8290E+00 1.0626E+01 1.1336E+01 1.1952E+01 1.2472E+01 1.3414E+01 1.3990E+01 1.4641E+01 1.5051E+01 1.5351E+01 1.5567E+01 1.5716E+01 1.5880E+01 1.5948E+01 1.5977E+01 1.5989E+01 1.5997E+01 1.6000E+01 1.6000E+01 1.6000E+01 1.6000E+01 1.6000E+01 1.6000E+01 1.6000E+01 1.6000E+01 0.0 7.0000E-03 2.6000E-02 5.9000E-02 1.0430E-01 1.6200E-01 2.3160E-01 4.0410E-01 6.1700E-01 1.1378E+00 1.7444E+00 2.0650E+00 2.8770E+00 3.6650E+00 4.4002E+00 5.0740E+00 6.2395E+00 7.1820E+00 8.5530E+00 9.5390E+00 1.0382E+01 1.1158E+01 1.1867E+01 1.2499E+01 1.3050E+01 1.4088E+01 1.4750E+01 1.5487E+01 1.5924E+01 1.6243E+01 1.6479E+01 1.6648E+01 1.6843E+01 1.6930E+01 1.6968E+01 1.6985E+01 1.6996E+01 1.7000E+01 1.7000E+01 1.7000E+01 1.7000E+01 1.7000E+01 1.7000E+01 1.7000E+01 1.7000E+01 0.0 6.0000E-03 2.4000E-02 5.4200E-02 9.5900E-02 1.4910E-01 2.1330E-01 3.7310E-01 5.7100E-01 1.0626E+00 1.6445E+00 1.9560E+00 2.7602E+00 3.5580E+00 4.3202E+00 5.0330E+00 6.3030E+00 7.3770E+00 8.9980E+00 1.0106E+01 1.0967E+01 1.1726E+01 1.2424E+01 1.3061E+01 1.3629E+01 1.4745E+01 1.5489E+01 1.6324E+01 1.6795E+01 1.7132E+01 1.7386E+01 1.7573E+01 1.7800E+01 1.7907E+01 1.7956E+01 1.7978E+01 1.7994E+01 1.8000E+01 1.8000E+01 1.8000E+01 1.8000E+01 1.8000E+01 1.8000E+01 1.8000E+01 1.8000E+01 0.0 1.6000E-02 6.2000E-02 1.3770E-01 2.3780E-01 3.5840E-01 4.9460E-01 7.9450E-01 1.1050E+00 1.6922E+00 2.2326E+00 2.5000E+00 3.1897E+00 3.9050E+00 4.6163E+00 5.3010E+00 6.5550E+00 7.6520E+00 9.4050E+00 1.0650E+01 1.1568E+01 1.2329E+01 1.3014E+01 1.3645E+01 1.4220E+01 1.5393E+01 1.6212E+01 1.7152E+01 1.7664E+01 1.8020E+01 1.8290E+01 1.8494E+01 1.8752E+01 1.8880E+01 1.8941E+01 1.8970E+01 1.8992E+01 1.8999E+01 1.9000E+01 1.9000E+01 1.9000E+01 1.9000E+01 1.9000E+01 1.9000E+01 1.9000E+01 0.0 1.8000E-02 7.2000E-02 1.5980E-01 2.7810E-01 4.2300E-01 5.8970E-01 9.6850E-01 1.3750E+00 2.1575E+00 2.8172E+00 3.1050E+00 3.7618E+00 4.4010E+00 5.0477E+00 5.6900E+00 6.8993E+00 7.9810E+00 9.7900E+00 1.1157E+01 1.2163E+01 1.2953E+01 1.3635E+01 1.4256E+01 1.4830E+01 1.6038E+01 1.6921E+01 1.7970E+01 1.8531E+01 1.8906E+01 1.9191E+01 1.9411E+01 1.9698E+01 1.9849E+01 1.9924E+01 1.9961E+01 1.9989E+01 1.9999E+01 2.0000E+01 2.0000E+01 2.0000E+01 2.0000E+01 2.0000E+01 2.0000E+01 2.0000E+01 0.0 1.7000E-02 6.7000E-02 1.4880E-01 2.5970E-01 3.9630E-01 5.5470E-01 9.2000E-01 1.3210E+00 2.1220E+00 2.8255E+00 3.1360E+00 3.8342E+00 4.4920E+00 5.1478E+00 5.8010E+00 7.0456E+00 8.1690E+00 1.0071E+01 1.1561E+01 1.2684E+01 1.3545E+01 1.4256E+01 1.4885E+01 1.5460E+01 1.6694E+01 1.7630E+01 1.8782E+01 1.9397E+01 1.9794E+01 2.0093E+01 2.0326E+01 2.0641E+01 2.0813E+01 2.0903E+01 2.0949E+01 2.0985E+01 2.0999E+01 2.1000E+01 2.1000E+01 2.1000E+01 2.1000E+01 2.1000E+01 2.1000E+01 2.1000E+01 0.0 1.6000E-02 6.3000E-02 1.3910E-01 2.4320E-01 3.7200E-01 5.2230E-01 8.7210E-01 1.2630E+00 2.0626E+00 2.7890E+00 3.1140E+00 3.8456E+00 4.5230E+00 5.1927E+00 5.8600E+00 7.1436E+00 8.3120E+00 1.0304E+01 1.1901E+01 1.3140E+01 1.4093E+01 1.4856E+01 1.5509E+01 1.6095E+01 1.7353E+01 1.8334E+01 1.9585E+01 2.0259E+01 2.0682E+01 2.0994E+01 2.1239E+01 2.1580E+01 2.1774E+01 2.1879E+01 2.1935E+01 2.1980E+01 2.1998E+01 2.2000E+01 2.2000E+01 2.2000E+01 2.2000E+01 2.2000E+01 2.2000E+01 2.2000E+01 0.0 1.5000E-02 5.9000E-02 1.3070E-01 2.2870E-01 3.5060E-01 4.9320E-01 8.2790E-01 1.2060E+00 1.9964E+00 2.7329E+00 3.0670E+00 3.8196E+00 4.5100E+00 5.1849E+00 5.8580E+00 7.1673E+00 8.3750E+00 1.0454E+01 1.2156E+01 1.3514E+01 1.4574E+01 1.5413E+01 1.6111E+01 1.6721E+01 1.8010E+01 1.9032E+01 2.0379E+01 2.1116E+01 2.1569E+01 2.1896E+01 2.2152E+01 2.2515E+01 2.2732E+01 2.2853E+01 2.2919E+01 2.2974E+01 2.2998E+01 2.3000E+01 2.3000E+01 2.3000E+01 2.3000E+01 2.3000E+01 2.3000E+01 2.3000E+01 0.0 1.2000E-02 4.6000E-02 1.0350E-01 1.8140E-01 2.7840E-01 3.9220E-01 6.6090E-01 9.6800E-01 1.6312E+00 2.2908E+00 2.6090E+00 3.3772E+00 4.1230E+00 4.8573E+00 5.5770E+00 6.9475E+00 8.2060E+00 1.0415E+01 1.2264E+01 1.3770E+01 1.4960E+01 1.5902E+01 1.6670E+01 1.7323E+01 1.8668E+01 1.9730E+01 2.1168E+01 2.1970E+01 2.2456E+01 2.2798E+01 2.3065E+01 2.3449E+01 2.3686E+01 2.3823E+01 2.3900E+01 2.3967E+01 2.3997E+01 2.4000E+01 2.4000E+01 2.4000E+01 2.4000E+01 2.4000E+01 2.4000E+01 2.4000E+01 0.0 1.3000E-02 5.2000E-02 1.1670E-01 2.0470E-01 3.1460E-01 4.4410E-01 7.5130E-01 1.1040E+00 1.8663E+00 2.6055E+00 2.9490E+00 3.7283E+00 4.4350E+00 5.1155E+00 5.7910E+00 7.1216E+00 8.3800E+00 1.0604E+01 1.2486E+01 1.4062E+01 1.5346E+01 1.6376E+01 1.7211E+01 1.7910E+01 1.9312E+01 2.0411E+01 2.1938E+01 2.2812E+01 2.3337E+01 2.3698E+01 2.3976E+01 2.4380E+01 2.4636E+01 2.4790E+01 2.4879E+01 2.4959E+01 2.4996E+01 2.5000E+01 2.5000E+01 2.5000E+01 2.5000E+01 2.5000E+01 2.5000E+01 2.5000E+01 0.0 1.2000E-02 5.0000E-02 1.1090E-01 1.9470E-01 2.9950E-01 4.2330E-01 7.1830E-01 1.0600E+00 1.8065E+00 2.5442E+00 2.8910E+00 3.6841E+00 4.4050E+00 5.0963E+00 5.7810E+00 7.1381E+00 8.4320E+00 1.0733E+01 1.2687E+01 1.4343E+01 1.5716E+01 1.6831E+01 1.7737E+01 1.8488E+01 1.9959E+01 2.1097E+01 2.2704E+01 2.3650E+01 2.4216E+01 2.4598E+01 2.4887E+01 2.5310E+01 2.5585E+01 2.5755E+01 2.5856E+01 2.5949E+01 2.5995E+01 2.5999E+01 2.6000E+01 2.6000E+01 2.6000E+01 2.6000E+01 2.6000E+01 2.6000E+01 0.0 1.2000E-02 4.7000E-02 1.0560E-01 1.8560E-01 2.8580E-01 4.0440E-01 6.8810E-01 1.0190E+00 1.7497E+00 2.4834E+00 2.8320E+00 3.6358E+00 4.3690E+00 5.0697E+00 5.7640E+00 7.1428E+00 8.4690E+00 1.0844E+01 1.2867E+01 1.4596E+01 1.6050E+01 1.7249E+01 1.8229E+01 1.9039E+01 2.0596E+01 2.1777E+01 2.3462E+01 2.4480E+01 2.5092E+01 2.5497E+01 2.5799E+01 2.6238E+01 2.6531E+01 2.6717E+01 2.6830E+01 2.6938E+01 2.6994E+01 2.6999E+01 2.7000E+01 2.7000E+01 2.7000E+01 2.7000E+01 2.7000E+01 2.7000E+01 0.0 1.1000E-02 4.5000E-02 1.0090E-01 1.7740E-01 2.7340E-01 3.8720E-01 6.6050E-01 9.8100E-01 1.6955E+00 2.4230E+00 2.7720E+00 3.5820E+00 4.3220E+00 5.0287E+00 5.7260E+00 7.1149E+00 8.4610E+00 1.0894E+01 1.2980E+01 1.4780E+01 1.6317E+01 1.7602E+01 1.8664E+01 1.9543E+01 2.1210E+01 2.2445E+01 2.4211E+01 2.5302E+01 2.5962E+01 2.6394E+01 2.6710E+01 2.7166E+01 2.7475E+01 2.7676E+01 2.7802E+01 2.7926E+01 2.7992E+01 2.7999E+01 2.8000E+01 2.8000E+01 2.8000E+01 2.8000E+01 2.8000E+01 2.8000E+01 0.0 9.0000E-03 3.6000E-02 8.1300E-02 1.4300E-01 2.2050E-01 3.1250E-01 5.3440E-01 7.9600E-01 1.3930E+00 2.0288E+00 2.3480E+00 3.1392E+00 3.9190E+00 4.6918E+00 5.4550E+00 6.9310E+00 8.3100E+00 1.0778E+01 1.2942E+01 1.4847E+01 1.6494E+01 1.7885E+01 1.9043E+01 2.0002E+01 2.1802E+01 2.3107E+01 2.4957E+01 2.6119E+01 2.6830E+01 2.7291E+01 2.7622E+01 2.8095E+01 2.8418E+01 2.8634E+01 2.8772E+01 2.8912E+01 2.8990E+01 2.8999E+01 2.9000E+01 2.9000E+01 2.9000E+01 2.9000E+01 2.9000E+01 2.9000E+01 0.0 1.0000E-02 4.1000E-02 9.2600E-02 1.6310E-01 2.5170E-01 3.5710E-01 6.1150E-01 9.1200E-01 1.5956E+00 2.3073E+00 2.6540E+00 3.4700E+00 4.2200E+00 4.9322E+00 5.6310E+00 7.0236E+00 8.3880E+00 1.0901E+01 1.3094E+01 1.5020E+01 1.6709E+01 1.8163E+01 1.9395E+01 2.0427E+01 2.2365E+01 2.3745E+01 2.5683E+01 2.6919E+01 2.7687E+01 2.8181E+01 2.8530E+01 2.9021E+01 2.9358E+01 2.9588E+01 2.9739E+01 2.9896E+01 2.9988E+01 2.9998E+01 3.0000E+01 3.0000E+01 3.0000E+01 3.0000E+01 3.0000E+01 3.0000E+01 0.0 1.1000E-02 4.4000E-02 9.8200E-02 1.7270E-01 2.6630E-01 3.7730E-01 6.4440E-01 9.5900E-01 1.6724E+00 2.4218E+00 2.7910E+00 3.6726E+00 4.4830E+00 5.2326E+00 5.9390E+00 7.2874E+00 8.5990E+00 1.1082E+01 1.3290E+01 1.5233E+01 1.6947E+01 1.8445E+01 1.9734E+01 2.0831E+01 2.2907E+01 2.4370E+01 2.6400E+01 2.7710E+01 2.8536E+01 2.9067E+01 2.9436E+01 2.9947E+01 3.0297E+01 3.0541E+01 3.0705E+01 3.0879E+01 3.0985E+01 3.0998E+01 3.1000E+01 3.1000E+01 3.1000E+01 3.1000E+01 3.1000E+01 3.1000E+01 0.0 1.1000E-02 4.2000E-02 9.4900E-02 1.6710E-01 2.5820E-01 3.6670E-01 6.3000E-01 9.4400E-01 1.6691E+00 2.4486E+00 2.8390E+00 3.7810E+00 4.6590E+00 5.4723E+00 6.2290E+00 7.6188E+00 8.9120E+00 1.1338E+01 1.3536E+01 1.5486E+01 1.7215E+01 1.8741E+01 2.0074E+01 2.1224E+01 2.3430E+01 2.4983E+01 2.7109E+01 2.8492E+01 2.9377E+01 2.9947E+01 3.0340E+01 3.0872E+01 3.1236E+01 3.1492E+01 3.1668E+01 3.1860E+01 3.1982E+01 3.1997E+01 3.2000E+01 3.2000E+01 3.2000E+01 3.2000E+01 3.2000E+01 3.2000E+01 0.0 1.0000E-02 4.0000E-02 9.0300E-02 1.5930E-01 2.4630E-01 3.5040E-01 6.0410E-01 9.0900E-01 1.6212E+00 2.3995E+00 2.7930E+00 3.7577E+00 4.6750E+00 5.5432E+00 6.3650E+00 7.8777E+00 9.2360E+00 1.1658E+01 1.3828E+01 1.5775E+01 1.7511E+01 1.9056E+01 2.0420E+01 2.1612E+01 2.3938E+01 2.5583E+01 2.7810E+01 2.9264E+01 3.0209E+01 3.0822E+01 3.1241E+01 3.1796E+01 3.2173E+01 3.2442E+01 3.2629E+01 3.2840E+01 3.2979E+01 3.2996E+01 3.3000E+01 3.3000E+01 3.3000E+01 3.3000E+01 3.3000E+01 3.3000E+01 0.0 1.0000E-02 3.8000E-02 8.5900E-02 1.5170E-01 2.3500E-01 3.3500E-01 5.8060E-01 8.7900E-01 1.5904E+00 2.3883E+00 2.7990E+00 3.8175E+00 4.7940E+00 5.7172E+00 6.5890E+00 8.1861E+00 9.6010E+00 1.2033E+01 1.4168E+01 1.6098E+01 1.7835E+01 1.9391E+01 2.0778E+01 2.2003E+01 2.4434E+01 2.6171E+01 2.8504E+01 3.0028E+01 3.1034E+01 3.1691E+01 3.2137E+01 3.2719E+01 3.3109E+01 3.3390E+01 3.3589E+01 3.3818E+01 3.3975E+01 3.3996E+01 3.4000E+01 3.4000E+01 3.4000E+01 3.4000E+01 3.4000E+01 3.4000E+01 0.0 9.0000E-03 3.6000E-02 8.1700E-02 1.4450E-01 2.2410E-01 3.2000E-01 5.5660E-01 8.4600E-01 1.5477E+00 2.3509E+00 2.7710E+00 3.8262E+00 4.8510E+00 5.8261E+00 6.7480E+00 8.4425E+00 9.9400E+00 1.2440E+01 1.4552E+01 1.6456E+01 1.8185E+01 1.9747E+01 2.1149E+01 2.2399E+01 2.4920E+01 2.6747E+01 2.9190E+01 3.0785E+01 3.1850E+01 3.2554E+01 3.3030E+01 3.3641E+01 3.4045E+01 3.4337E+01 3.4547E+01 3.4794E+01 3.4970E+01 3.4995E+01 3.5000E+01 3.5000E+01 3.5000E+01 3.5000E+01 3.5000E+01 3.5000E+01 0.0 9.0000E-03 3.5000E-02 7.7900E-02 1.3770E-01 2.1390E-01 3.0560E-01 5.3270E-01 8.1200E-01 1.4945E+00 2.2858E+00 2.7030E+00 3.7635E+00 4.8050E+00 5.8050E+00 6.7600E+00 8.5457E+00 1.0157E+01 1.2828E+01 1.4969E+01 1.6849E+01 1.8562E+01 2.0123E+01 2.1535E+01 2.2804E+01 2.5401E+01 2.7313E+01 2.9870E+01 3.1534E+01 3.2659E+01 3.3410E+01 3.3919E+01 3.4562E+01 3.4980E+01 3.5283E+01 3.5504E+01 3.5769E+01 3.5965E+01 3.5994E+01 3.6000E+01 3.6000E+01 3.6000E+01 3.6000E+01 3.6000E+01 3.6000E+01 0.0 2.0000E-02 7.8000E-02 1.7180E-01 2.9640E-01 4.4620E-01 6.1490E-01 9.8600E-01 1.3720E+00 2.1219E+00 2.8525E+00 3.2250E+00 4.1893E+00 5.1720E+00 6.1346E+00 7.0620E+00 8.8125E+00 1.0431E+01 1.3206E+01 1.5410E+01 1.7282E+01 1.8974E+01 2.0526E+01 2.1940E+01 2.3221E+01 2.5880E+01 2.7871E+01 3.0543E+01 3.2277E+01 3.3461E+01 3.4259E+01 3.4803E+01 3.5482E+01 3.5915E+01 3.6228E+01 3.6459E+01 3.6742E+01 3.6959E+01 3.6992E+01 3.7000E+01 3.7000E+01 3.7000E+01 3.7000E+01 3.7000E+01 3.7000E+01 0.0 2.3000E-02 9.1000E-02 2.0230E-01 3.5120E-01 5.3260E-01 7.4000E-01 1.2064E+00 1.7010E+00 2.6420E+00 3.4571E+00 3.8310E+00 4.7378E+00 5.6530E+00 6.5695E+00 7.4640E+00 9.1593E+00 1.0746E+01 1.3576E+01 1.5860E+01 1.7745E+01 1.9420E+01 2.0956E+01 2.2367E+01 2.3654E+01 2.6361E+01 2.8423E+01 3.1210E+01 3.3014E+01 3.4255E+01 3.5103E+01 3.5682E+01 3.6399E+01 3.6848E+01 3.7172E+01 3.7413E+01 3.7713E+01 3.7953E+01 3.7991E+01 3.8000E+01 3.8000E+01 3.8000E+01 3.8000E+01 3.8000E+01 3.8000E+01 0.0 2.2000E-02 8.7000E-02 1.9380E-01 3.3770E-01 5.1440E-01 7.1850E-01 1.1857E+00 1.6940E+00 2.7007E+00 3.5939E+00 3.9990E+00 4.9485E+00 5.8740E+00 6.7965E+00 7.7000E+00 9.4127E+00 1.1010E+01 1.3899E+01 1.6279E+01 1.8215E+01 1.9891E+01 2.1416E+01 2.2820E+01 2.4110E+01 2.6849E+01 2.8970E+01 3.1870E+01 3.3745E+01 3.5043E+01 3.5940E+01 3.6557E+01 3.7316E+01 3.7782E+01 3.8116E+01 3.8366E+01 3.8684E+01 3.8946E+01 3.8989E+01 3.9000E+01 3.9000E+01 3.9000E+01 3.9000E+01 3.9000E+01 3.9000E+01 0.0 2.1000E-02 8.3000E-02 1.8430E-01 3.2180E-01 4.9160E-01 6.8910E-01 1.1467E+00 1.6540E+00 2.6881E+00 3.6332E+00 4.0640E+00 5.0647E+00 6.0190E+00 6.9586E+00 7.8790E+00 9.6206E+00 1.1236E+01 1.4176E+01 1.6658E+01 1.8672E+01 2.0373E+01 2.1895E+01 2.3294E+01 2.4583E+01 2.7347E+01 2.9517E+01 3.2522E+01 3.4470E+01 3.5825E+01 3.6771E+01 3.7426E+01 3.8230E+01 3.8715E+01 3.9059E+01 3.9318E+01 3.9653E+01 3.9938E+01 3.9987E+01 4.0000E+01 4.0000E+01 4.0000E+01 4.0000E+01 4.0000E+01 4.0000E+01 0.0 1.7000E-02 6.8000E-02 1.5160E-01 2.6520E-01 4.0610E-01 5.7100E-01 9.5760E-01 1.3950E+00 2.3251E+00 3.2356E+00 3.6720E+00 4.7217E+00 5.7350E+00 6.7235E+00 7.6840E+00 9.5075E+00 1.1213E+01 1.4317E+01 1.6949E+01 1.9081E+01 2.0844E+01 2.2386E+01 2.3787E+01 2.5077E+01 2.7860E+01 3.0067E+01 3.3167E+01 3.5188E+01 3.6601E+01 3.7596E+01 3.8291E+01 3.9142E+01 3.9647E+01 4.0002E+01 4.0270E+01 4.0621E+01 4.0930E+01 4.0985E+01 4.1000E+01 4.1000E+01 4.1000E+01 4.1000E+01 4.1000E+01 4.1000E+01 0.0 1.6000E-02 6.5000E-02 1.4390E-01 2.5210E-01 3.8680E-01 5.4480E-01 9.1770E-01 1.3440E+00 2.2641E+00 3.1813E+00 3.6250E+00 4.6925E+00 5.7200E+00 6.7197E+00 7.6900E+00 9.5324E+00 1.1260E+01 1.4440E+01 1.7196E+01 1.9455E+01 2.1300E+01 2.2877E+01 2.4288E+01 2.5581E+01 2.8378E+01 3.0620E+01 3.3808E+01 3.5901E+01 3.7370E+01 3.8415E+01 3.9150E+01 4.0051E+01 4.0578E+01 4.0945E+01 4.1221E+01 4.1587E+01 4.1920E+01 4.1983E+01 4.2000E+01 4.2000E+01 4.2000E+01 4.2000E+01 4.2000E+01 4.2000E+01 0.0 1.8000E-02 7.2000E-02 1.6000E-01 2.8050E-01 4.3070E-01 6.0720E-01 1.0245E+00 1.5020E+00 2.5267E+00 3.5216E+00 3.9870E+00 5.0656E+00 6.0670E+00 7.0353E+00 7.9840E+00 9.8065E+00 1.1512E+01 1.4653E+01 1.7456E+01 1.9816E+01 2.1748E+01 2.3370E+01 2.4797E+01 2.6093E+01 2.8901E+01 3.1173E+01 3.4447E+01 3.6610E+01 3.8134E+01 3.9226E+01 4.0003E+01 4.0958E+01 4.1509E+01 4.1886E+01 4.2171E+01 4.2553E+01 4.2911E+01 4.2980E+01 4.3000E+01 4.3000E+01 4.3000E+01 4.3000E+01 4.3000E+01 4.3000E+01 0.0 1.5000E-02 5.9000E-02 1.3130E-01 2.3050E-01 3.5450E-01 5.0090E-01 8.5020E-01 1.2560E+00 2.1600E+00 3.0961E+00 3.5590E+00 4.6897E+00 5.7830E+00 6.8398E+00 7.8570E+00 9.7646E+00 1.1531E+01 1.4782E+01 1.7685E+01 2.0150E+01 2.2173E+01 2.3855E+01 2.5312E+01 2.6621E+01 2.9444E+01 3.1740E+01 3.5081E+01 3.7311E+01 3.8891E+01 4.0033E+01 4.0851E+01 4.1861E+01 4.2438E+01 4.2828E+01 4.3121E+01 4.3518E+01 4.3900E+01 4.3978E+01 4.4000E+01 4.4000E+01 4.4000E+01 4.4000E+01 4.4000E+01 4.4000E+01 0.0 1.4000E-02 5.6000E-02 1.2590E-01 2.2120E-01 3.4050E-01 4.8170E-01 8.1960E-01 1.2150E+00 2.1027E+00 3.0345E+00 3.4990E+00 4.6419E+00 5.7530E+00 6.8283E+00 7.8630E+00 9.8021E+00 1.1591E+01 1.4883E+01 1.7858E+01 2.0428E+01 2.2557E+01 2.4318E+01 2.5819E+01 2.7148E+01 2.9991E+01 3.2309E+01 3.5715E+01 3.8009E+01 3.9643E+01 4.0833E+01 4.1693E+01 4.2761E+01 4.3366E+01 4.3769E+01 4.4070E+01 4.4481E+01 4.4889E+01 4.4975E+01 4.5000E+01 4.5000E+01 4.5000E+01 4.5000E+01 4.5000E+01 4.5000E+01 0.0 1.0000E-02 3.9000E-02 8.8100E-02 1.5590E-01 2.4210E-01 3.4620E-01 6.0430E-01 9.2300E-01 1.7050E+00 2.6188E+00 3.1030E+00 4.3342E+00 5.5360E+00 6.6685E+00 7.7250E+00 9.6545E+00 1.1441E+01 1.4824E+01 1.7943E+01 2.0653E+01 2.2904E+01 2.4756E+01 2.6316E+01 2.7677E+01 3.0549E+01 3.2888E+01 3.6349E+01 3.8703E+01 4.0389E+01 4.1627E+01 4.2529E+01 4.3658E+01 4.4293E+01 4.4710E+01 4.5019E+01 4.5444E+01 4.5877E+01 4.5971E+01 4.6000E+01 4.6000E+01 4.6000E+01 4.6000E+01 4.6000E+01 4.6000E+01 0.0 1.3000E-02 5.2000E-02 1.1660E-01 2.0510E-01 3.1610E-01 4.4780E-01 7.6490E-01 1.1390E+00 1.9902E+00 2.9013E+00 3.3620E+00 4.5059E+00 5.6310E+00 6.7268E+00 7.7850E+00 9.7703E+00 1.1598E+01 1.4969E+01 1.8082E+01 2.0858E+01 2.3212E+01 2.5162E+01 2.6792E+01 2.8195E+01 3.1106E+01 3.3465E+01 3.6983E+01 3.9395E+01 4.1131E+01 4.2415E+01 4.3359E+01 4.4550E+01 4.5217E+01 4.5650E+01 4.5968E+01 4.6406E+01 4.6864E+01 4.6967E+01 4.7000E+01 4.7000E+01 4.7000E+01 4.7000E+01 4.7000E+01 4.7000E+01 0.0 1.5000E-02 5.9000E-02 1.3210E-01 2.3240E-01 3.5820E-01 5.0750E-01 8.6650E-01 1.2880E+00 2.2373E+00 3.2201E+00 3.7000E+00 4.8433E+00 5.9210E+00 6.9607E+00 7.9800E+00 9.9556E+00 1.1812E+01 1.5185E+01 1.8263E+01 2.1064E+01 2.3501E+01 2.5546E+01 2.7252E+01 2.8705E+01 3.1666E+01 3.4046E+01 3.7618E+01 4.0085E+01 4.1870E+01 4.3198E+01 4.4184E+01 4.5437E+01 4.6139E+01 4.6589E+01 4.6915E+01 4.7368E+01 4.7850E+01 4.7963E+01 4.8000E+01 4.8000E+01 4.8000E+01 4.8000E+01 4.8000E+01 4.8000E+01 0.0 1.5000E-02 6.2000E-02 1.3750E-01 2.4170E-01 3.7220E-01 5.2690E-01 8.9820E-01 1.3340E+00 2.3160E+00 3.3444E+00 3.8520E+00 5.0700E+00 6.2070E+00 7.2757E+00 8.2970E+00 1.0244E+01 1.2083E+01 1.5444E+01 1.8489E+01 2.1288E+01 2.3779E+01 2.5906E+01 2.7691E+01 2.9203E+01 3.2229E+01 3.4634E+01 3.8255E+01 4.0774E+01 4.2605E+01 4.3977E+01 4.5003E+01 4.6321E+01 4.7060E+01 4.7526E+01 4.7863E+01 4.8328E+01 4.8835E+01 4.8959E+01 4.9000E+01 4.9000E+01 4.9000E+01 4.9000E+01 4.9000E+01 4.9000E+01 0.0 1.5000E-02 6.0000E-02 1.3440E-01 2.3650E-01 3.6480E-01 5.1750E-01 8.8610E-01 1.3230E+00 2.3215E+00 3.3857E+00 3.9170E+00 5.2044E+00 6.4160E+00 7.5495E+00 8.6150E+00 1.0589E+01 1.2415E+01 1.5746E+01 1.8760E+01 2.1541E+01 2.4059E+01 2.6252E+01 2.8113E+01 2.9687E+01 3.2794E+01 3.5226E+01 3.8894E+01 4.1462E+01 4.3338E+01 4.4751E+01 4.5817E+01 4.7200E+01 4.7977E+01 4.8463E+01 4.8810E+01 4.9288E+01 4.9820E+01 4.9954E+01 5.0000E+01 5.0000E+01 5.0000E+01 5.0000E+01 5.0000E+01 5.0000E+01 0.0 1.5000E-02 5.8000E-02 1.2970E-01 2.2840E-01 3.5270E-01 5.0080E-01 8.5980E-01 1.2870E+00 2.2731E+00 3.3358E+00 3.8710E+00 5.1866E+00 6.4530E+00 7.6627E+00 8.8110E+00 1.0908E+01 1.2777E+01 1.6088E+01 1.9067E+01 2.1823E+01 2.4349E+01 2.6590E+01 2.8518E+01 3.0157E+01 3.3358E+01 3.5822E+01 3.9536E+01 4.2151E+01 4.4069E+01 4.5522E+01 4.6626E+01 4.8075E+01 4.8892E+01 4.9399E+01 4.9756E+01 5.0248E+01 5.0804E+01 5.0949E+01 5.1000E+01 5.1000E+01 5.1000E+01 5.1000E+01 5.1000E+01 5.1000E+01 0.0 1.4000E-02 5.6000E-02 1.2500E-01 2.2050E-01 3.4120E-01 4.8540E-01 8.3740E-01 1.2610E+00 2.2554E+00 3.3494E+00 3.9070E+00 5.2839E+00 6.6100E+00 7.8759E+00 9.0760E+00 1.1260E+01 1.3171E+01 1.6466E+01 1.9407E+01 2.2134E+01 2.4655E+01 2.6927E+01 2.8912E+01 3.0613E+01 3.3918E+01 3.6422E+01 4.0181E+01 4.2840E+01 4.4798E+01 4.6290E+01 4.7431E+01 4.8945E+01 4.9804E+01 5.0333E+01 5.0702E+01 5.1207E+01 5.1787E+01 5.1943E+01 5.1999E+01 5.2000E+01 5.2000E+01 5.2000E+01 5.2000E+01 5.2000E+01 0.0 1.3000E-02 5.4000E-02 1.2050E-01 2.1280E-01 3.2960E-01 4.6960E-01 8.1320E-01 1.2300E+00 2.2213E+00 3.3314E+00 3.9030E+00 5.3281E+00 6.7090E+00 8.0300E+00 9.2870E+00 1.1579E+01 1.3564E+01 1.6876E+01 1.9777E+01 2.2471E+01 2.4980E+01 2.7269E+01 2.9298E+01 3.1056E+01 3.4474E+01 3.7024E+01 4.0827E+01 4.3529E+01 4.5526E+01 4.7054E+01 4.8233E+01 4.9811E+01 5.0714E+01 5.1266E+01 5.1647E+01 5.2165E+01 5.2770E+01 5.2937E+01 5.2999E+01 5.3000E+01 5.3000E+01 5.3000E+01 5.3000E+01 5.3000E+01 0.0 1.3000E-02 5.2000E-02 1.1620E-01 2.0530E-01 3.1830E-01 4.5390E-01 7.8750E-01 1.1940E+00 2.1679E+00 3.2695E+00 3.8410E+00 5.2747E+00 6.6770E+00 8.0325E+00 9.3400E+00 1.1771E+01 1.3892E+01 1.7307E+01 2.0175E+01 2.2833E+01 2.5324E+01 2.7619E+01 2.9680E+01 3.1488E+01 3.5023E+01 3.7628E+01 4.1477E+01 4.4220E+01 4.6254E+01 4.7817E+01 4.9030E+01 5.0673E+01 5.1620E+01 5.2197E+01 5.2591E+01 5.3123E+01 5.3751E+01 5.3931E+01 5.3999E+01 5.4000E+01 5.4000E+01 5.4000E+01 5.4000E+01 5.4000E+01 0.0 2.7000E-02 1.0500E-01 2.3070E-01 3.9640E-01 5.9400E-01 8.1480E-01 1.2955E+00 1.7930E+00 2.7816E+00 3.7941E+00 4.3200E+00 5.6723E+00 7.0230E+00 8.3392E+00 9.6150E+00 1.2035E+01 1.4217E+01 1.7753E+01 2.0612E+01 2.3228E+01 2.5691E+01 2.7981E+01 3.0064E+01 3.1914E+01 3.5565E+01 3.8232E+01 4.2129E+01 4.4912E+01 4.6981E+01 4.8577E+01 4.9824E+01 5.1530E+01 5.2523E+01 5.3127E+01 5.3534E+01 5.4081E+01 5.4732E+01 5.4924E+01 5.5000E+01 5.5000E+01 5.5000E+01 5.5000E+01 5.5000E+01 5.5000E+01 0.0 3.1000E-02 1.2400E-01 2.7230E-01 4.7070E-01 7.0990E-01 9.8060E-01 1.5778E+00 2.1960E+00 3.3564E+00 4.3976E+00 4.9020E+00 6.1754E+00 7.4680E+00 8.7405E+00 9.9760E+00 1.2343E+01 1.4544E+01 1.8201E+01 2.1078E+01 2.3654E+01 2.6083E+01 2.8359E+01 3.0453E+01 3.2336E+01 3.6100E+01 3.8836E+01 4.2784E+01 4.5605E+01 4.7709E+01 4.9336E+01 5.0615E+01 5.2383E+01 5.3424E+01 5.4055E+01 5.4477E+01 5.5038E+01 5.5713E+01 5.5917E+01 5.6000E+01 5.6000E+01 5.6000E+01 5.6000E+01 5.6000E+01 5.6000E+01 0.0 3.0000E-02 1.1900E-01 2.6220E-01 4.5500E-01 6.8950E-01 9.5750E-01 1.5596E+00 2.1990E+00 3.4326E+00 4.5424E+00 5.0680E+00 6.3669E+00 7.6710E+00 8.9565E+00 1.0204E+01 1.2583E+01 1.4814E+01 1.8609E+01 2.1555E+01 2.4109E+01 2.6502E+01 2.8759E+01 3.0854E+01 3.2758E+01 3.6622E+01 3.9438E+01 4.3443E+01 4.6301E+01 4.8436E+01 5.0094E+01 5.1403E+01 5.3233E+01 5.4320E+01 5.4981E+01 5.5419E+01 5.5995E+01 5.6692E+01 5.6909E+01 5.7000E+01 5.7000E+01 5.7000E+01 5.7000E+01 5.7000E+01 5.7000E+01 0.0 2.9000E-02 1.1600E-01 2.5620E-01 4.4490E-01 6.7470E-01 9.3770E-01 1.5304E+00 2.1620E+00 3.3896E+00 4.4987E+00 5.0250E+00 6.3245E+00 7.6340E+00 8.9301E+00 1.0190E+01 1.2592E+01 1.4844E+01 1.8713E+01 2.1737E+01 2.4334E+01 2.6750E+01 2.9025E+01 3.1143E+01 3.3083E+01 3.7075E+01 4.0001E+01 4.4104E+01 4.7006E+01 4.9175E+01 5.0860E+01 5.2197E+01 5.4083E+01 5.5217E+01 5.5906E+01 5.6361E+01 5.6951E+01 5.7671E+01 5.7901E+01 5.8000E+01 5.8000E+01 5.8000E+01 5.8000E+01 5.8000E+01 5.8000E+01 0.0 2.9000E-02 1.1600E-01 2.5690E-01 4.4500E-01 6.7330E-01 9.3310E-01 1.5131E+00 2.1240E+00 3.2963E+00 4.3619E+00 4.8760E+00 6.1714E+00 7.4890E+00 8.7906E+00 1.0051E+01 1.2447E+01 1.4688E+01 1.8554E+01 2.1644E+01 2.4331E+01 2.6818E+01 2.9145E+01 3.1311E+01 3.3304E+01 3.7451E+01 4.0515E+01 4.4757E+01 4.7716E+01 4.9921E+01 5.1634E+01 5.2996E+01 5.4934E+01 5.6113E+01 5.6832E+01 5.7303E+01 5.7908E+01 5.8650E+01 5.8892E+01 5.9000E+01 5.9000E+01 5.9000E+01 5.9000E+01 5.9000E+01 5.9000E+01 0.0 2.9000E-02 1.1400E-01 2.5210E-01 4.3700E-01 6.6160E-01 9.1760E-01 1.4910E+00 2.0970E+00 3.2673E+00 4.3340E+00 4.8490E+00 6.1436E+00 7.4630E+00 8.7696E+00 1.0036E+01 1.2439E+01 1.4688E+01 1.8603E+01 2.1759E+01 2.4493E+01 2.7012E+01 2.9364E+01 3.1556E+01 3.3581E+01 3.7848E+01 4.1033E+01 4.5404E+01 4.8419E+01 5.0660E+01 5.2400E+01 5.3788E+01 5.5779E+01 5.7003E+01 5.7753E+01 5.8243E+01 5.8865E+01 5.9627E+01 5.9884E+01 5.9999E+01 6.0000E+01 6.0000E+01 6.0000E+01 6.0000E+01 6.0000E+01 0.0 2.8000E-02 1.1200E-01 2.4750E-01 4.2930E-01 6.5030E-01 9.0270E-01 1.4694E+00 2.0710E+00 3.2373E+00 4.3038E+00 4.8180E+00 6.1117E+00 7.4320E+00 8.7425E+00 1.0014E+01 1.2426E+01 1.4682E+01 1.8641E+01 2.1856E+01 2.4634E+01 2.7183E+01 2.9559E+01 3.1776E+01 3.3832E+01 3.8212E+01 4.1523E+01 4.6040E+01 4.9119E+01 5.1398E+01 5.3166E+01 5.4579E+01 5.6621E+01 5.7892E+01 5.8674E+01 5.9181E+01 5.9821E+01 6.0605E+01 6.0874E+01 6.0999E+01 6.1000E+01 6.1000E+01 6.1000E+01 6.1000E+01 6.1000E+01 0.0 2.8000E-02 1.1000E-01 2.4310E-01 4.2180E-01 6.3950E-01 8.8830E-01 1.4483E+00 2.0450E+00 3.2067E+00 4.2721E+00 4.7860E+00 6.0762E+00 7.3950E+00 8.7080E+00 9.9840E+00 1.2401E+01 1.4661E+01 1.8652E+01 2.1919E+01 2.4741E+01 2.7325E+01 2.9730E+01 3.1975E+01 3.4062E+01 3.8554E+01 4.1993E+01 4.6669E+01 4.9816E+01 5.2136E+01 5.3932E+01 5.5369E+01 5.7461E+01 5.8777E+01 5.9592E+01 6.0119E+01 6.0777E+01 6.1581E+01 6.1864E+01 6.1999E+01 6.2000E+01 6.2000E+01 6.2000E+01 6.2000E+01 6.2000E+01 0.0 2.7000E-02 1.0800E-01 2.3890E-01 4.1470E-01 6.2900E-01 8.7440E-01 1.4278E+00 2.0200E+00 3.1762E+00 4.2398E+00 4.7540E+00 6.0394E+00 7.3590E+00 8.6712E+00 9.9540E+00 1.2374E+01 1.4643E+01 1.8662E+01 2.1976E+01 2.4840E+01 2.7456E+01 2.9889E+01 3.2159E+01 3.4275E+01 3.8866E+01 4.2432E+01 4.7281E+01 5.0508E+01 5.2872E+01 5.4698E+01 5.6159E+01 5.8298E+01 5.9660E+01 6.0508E+01 6.1056E+01 6.1732E+01 6.2557E+01 6.2854E+01 6.2999E+01 6.3000E+01 6.3000E+01 6.3000E+01 6.3000E+01 6.3000E+01 0.0 2.6000E-02 1.0400E-01 2.2990E-01 4.0030E-01 6.0920E-01 8.5030E-01 1.4013E+00 2.0010E+00 3.2003E+00 4.3070E+00 4.8310E+00 6.1196E+00 7.4200E+00 8.7259E+00 1.0007E+01 1.2452E+01 1.4749E+01 1.8869E+01 2.2269E+01 2.5155E+01 2.7766E+01 3.0194E+01 3.2463E+01 3.4583E+01 3.9224E+01 4.2884E+01 4.7891E+01 5.1193E+01 5.3600E+01 5.5456E+01 5.6942E+01 5.9130E+01 6.0538E+01 6.1420E+01 6.1990E+01 6.2687E+01 6.3533E+01 6.3843E+01 6.3999E+01 6.4000E+01 6.4000E+01 6.4000E+01 6.4000E+01 6.4000E+01 0.0 2.6000E-02 1.0200E-01 2.2630E-01 3.9410E-01 6.0020E-01 8.3810E-01 1.3831E+00 1.9780E+00 3.1726E+00 4.2783E+00 4.8020E+00 6.0883E+00 7.3870E+00 8.6936E+00 9.9790E+00 1.2436E+01 1.4748E+01 1.8914E+01 2.2377E+01 2.5315E+01 2.7961E+01 3.0414E+01 3.2703E+01 3.4842E+01 3.9553E+01 4.3315E+01 4.8494E+01 5.1880E+01 5.4335E+01 5.6222E+01 5.7731E+01 5.9964E+01 6.1415E+01 6.2332E+01 6.2924E+01 6.3641E+01 6.4508E+01 6.4832E+01 6.4999E+01 6.5000E+01 6.5000E+01 6.5000E+01 6.5000E+01 6.5000E+01 0.0 2.6000E-02 1.0300E-01 2.2720E-01 3.9500E-01 6.0000E-01 8.3560E-01 1.3701E+00 1.9460E+00 3.0873E+00 4.1444E+00 4.6540E+00 5.9312E+00 7.2450E+00 8.5686E+00 9.8670E+00 1.2335E+01 1.4647E+01 1.8799E+01 2.2282E+01 2.5284E+01 2.8001E+01 3.0512E+01 3.2845E+01 3.5021E+01 3.9832E+01 4.3713E+01 4.9082E+01 5.2567E+01 5.5073E+01 5.6993E+01 5.8526E+01 6.0800E+01 6.2293E+01 6.3244E+01 6.3858E+01 6.4596E+01 6.5483E+01 6.5820E+01 6.5999E+01 6.6000E+01 6.6000E+01 6.6000E+01 6.6000E+01 6.6000E+01 0.0 2.5000E-02 1.0100E-01 2.2360E-01 3.8890E-01 5.9110E-01 8.2360E-01 1.3521E+00 1.9230E+00 3.0585E+00 4.1128E+00 4.6210E+00 5.8937E+00 7.2040E+00 8.5283E+00 9.8300E+00 1.2308E+01 1.4628E+01 1.8810E+01 2.2338E+01 2.5383E+01 2.8137E+01 3.0678E+01 3.3039E+01 3.5240E+01 4.0121E+01 4.4101E+01 4.9656E+01 5.3241E+01 5.5803E+01 5.7756E+01 5.9314E+01 6.1631E+01 6.3166E+01 6.4151E+01 6.4789E+01 6.5550E+01 6.6458E+01 6.6808E+01 6.6999E+01 6.7000E+01 6.7000E+01 6.7000E+01 6.7000E+01 6.7000E+01 0.0 2.5000E-02 9.9000E-02 2.2020E-01 3.8310E-01 5.8240E-01 8.1190E-01 1.3346E+00 1.9010E+00 3.0302E+00 4.0815E+00 4.5880E+00 5.8565E+00 7.1640E+00 8.4875E+00 9.7920E+00 1.2279E+01 1.4609E+01 1.8817E+01 2.2387E+01 2.5471E+01 2.8258E+01 3.0830E+01 3.3216E+01 3.5440E+01 4.0387E+01 4.4463E+01 5.0210E+01 5.3906E+01 5.6528E+01 5.8518E+01 6.0101E+01 6.2460E+01 6.4037E+01 6.5057E+01 6.5719E+01 6.6504E+01 6.7432E+01 6.7795E+01 6.7999E+01 6.8000E+01 6.8000E+01 6.8000E+01 6.8000E+01 6.8000E+01 0.0 2.5000E-02 9.8000E-02 2.1690E-01 3.7740E-01 5.7410E-01 8.0070E-01 1.3176E+00 1.8790E+00 3.0025E+00 4.0507E+00 4.5550E+00 5.8192E+00 7.1220E+00 8.4450E+00 9.7510E+00 1.2245E+01 1.4581E+01 1.8809E+01 2.2412E+01 2.5532E+01 2.8352E+01 3.0954E+01 3.3369E+01 3.5620E+01 4.0637E+01 4.4808E+01 5.0752E+01 5.4565E+01 5.7250E+01 5.9278E+01 6.0887E+01 6.3288E+01 6.4905E+01 6.5960E+01 6.6647E+01 6.7457E+01 6.8405E+01 6.8783E+01 6.8999E+01 6.9000E+01 6.9000E+01 6.9000E+01 6.9000E+01 6.9000E+01 0.0 2.4000E-02 9.6000E-02 2.1370E-01 3.7200E-01 5.6600E-01 7.8990E-01 1.3012E+00 1.8590E+00 2.9754E+00 4.0204E+00 4.5270E+00 5.7825E+00 7.0880E+00 8.4027E+00 9.7200E+00 1.2211E+01 1.4565E+01 1.8810E+01 2.2443E+01 2.5596E+01 2.8446E+01 3.1077E+01 3.3519E+01 3.5794E+01 4.0869E+01 4.5131E+01 5.1270E+01 5.5210E+01 5.7966E+01 6.0035E+01 6.1672E+01 6.4115E+01 6.5771E+01 6.6861E+01 6.7573E+01 6.8409E+01 6.9378E+01 6.9769E+01 6.9999E+01 7.0000E+01 7.0000E+01 7.0000E+01 7.0000E+01 7.0000E+01 0.0 2.4000E-02 9.3000E-02 2.0740E-01 3.6200E-01 5.5270E-01 7.7420E-01 1.2865E+00 1.8540E+00 3.0186E+00 4.1145E+00 4.6340E+00 5.9002E+00 7.1760E+00 8.4711E+00 9.7620E+00 1.2254E+01 1.4607E+01 1.8919E+01 2.2640E+01 2.5838E+01 2.8699E+01 3.1332E+01 3.3778E+01 3.6059E+01 4.1159E+01 4.5471E+01 5.1782E+01 5.5846E+01 5.8672E+01 6.0785E+01 6.2451E+01 6.4936E+01 6.6633E+01 6.7759E+01 6.8497E+01 6.9361E+01 7.0351E+01 7.0755E+01 7.0998E+01 7.1000E+01 7.1000E+01 7.1000E+01 7.1000E+01 7.1000E+01 0.0 2.3000E-02 9.0000E-02 1.9980E-01 3.4950E-01 5.3480E-01 7.5110E-01 1.2560E+00 1.8230E+00 3.0089E+00 4.1424E+00 4.6790E+00 5.9695E+00 7.2450E+00 8.5318E+00 9.8150E+00 1.2305E+01 1.4667E+01 1.9037E+01 2.2850E+01 2.6110E+01 2.8989E+01 3.1624E+01 3.4070E+01 3.6354E+01 4.1465E+01 4.5817E+01 5.2285E+01 5.6475E+01 5.9375E+01 6.1532E+01 6.3227E+01 6.5755E+01 6.7492E+01 6.8653E+01 6.9419E+01 7.0311E+01 7.1323E+01 7.1741E+01 7.1998E+01 7.2000E+01 7.2000E+01 7.2000E+01 7.2000E+01 7.2000E+01 0.0 2.2000E-02 8.7000E-02 1.9260E-01 3.3730E-01 5.1700E-01 7.2750E-01 1.2221E+00 1.7830E+00 2.9742E+00 4.1285E+00 4.6760E+00 5.9827E+00 7.2570E+00 8.5350E+00 9.8110E+00 1.2304E+01 1.4683E+01 1.9123E+01 2.3042E+01 2.6385E+01 2.9298E+01 3.1938E+01 3.4385E+01 3.6669E+01 4.1786E+01 4.6168E+01 5.2777E+01 5.7095E+01 6.0072E+01 6.2277E+01 6.4002E+01 6.6572E+01 6.8348E+01 6.9545E+01 7.0339E+01 7.1261E+01 7.2296E+01 7.2726E+01 7.2998E+01 7.3000E+01 7.3000E+01 7.3000E+01 7.3000E+01 7.3000E+01 0.0 2.1000E-02 8.3000E-02 1.8590E-01 3.2590E-01 5.0010E-01 7.0490E-01 1.1884E+00 1.7410E+00 2.9291E+00 4.0946E+00 4.6490E+00 5.9666E+00 7.2380E+00 8.5057E+00 9.7730E+00 1.2268E+01 1.4671E+01 1.9193E+01 2.3224E+01 2.6662E+01 2.9621E+01 3.2273E+01 3.4719E+01 3.7003E+01 4.2123E+01 4.6526E+01 5.3262E+01 5.7707E+01 6.0764E+01 6.3018E+01 6.4775E+01 6.7388E+01 6.9201E+01 7.0435E+01 7.1256E+01 7.2210E+01 7.3267E+01 7.3711E+01 7.3998E+01 7.4000E+01 7.4000E+01 7.4000E+01 7.4000E+01 7.4000E+01 0.0 2.0000E-02 8.1000E-02 1.7970E-01 3.1530E-01 4.8450E-01 6.8370E-01 1.1562E+00 1.7000E+00 2.8814E+00 4.0544E+00 4.6150E+00 5.9450E+00 7.2190E+00 8.4784E+00 9.7390E+00 1.2222E+01 1.4635E+01 1.9217E+01 2.3361E+01 2.6914E+01 2.9945E+01 3.2624E+01 3.5075E+01 3.7357E+01 4.2474E+01 4.6895E+01 5.3739E+01 5.8311E+01 6.1452E+01 6.3756E+01 6.5546E+01 6.8201E+01 7.0053E+01 7.1322E+01 7.2172E+01 7.3158E+01 7.4239E+01 7.4696E+01 7.4998E+01 7.5000E+01 7.5000E+01 7.5000E+01 7.5000E+01 7.5000E+01 0.0 2.0000E-02 7.8000E-02 1.7410E-01 3.0560E-01 4.7000E-01 6.6400E-01 1.1262E+00 1.6610E+00 2.8368E+00 4.0201E+00 4.5900E+00 5.9469E+00 7.2440E+00 8.5207E+00 9.7910E+00 1.2294E+01 1.4715E+01 1.9321E+01 2.3533E+01 2.7177E+01 3.0274E+01 3.2981E+01 3.5437E+01 3.7719E+01 4.2839E+01 4.7266E+01 5.4211E+01 5.8908E+01 6.2134E+01 6.4491E+01 6.6314E+01 6.9013E+01 7.0902E+01 7.2206E+01 7.3085E+01 7.4106E+01 7.5210E+01 7.5680E+01 7.5998E+01 7.6000E+01 7.6000E+01 7.6000E+01 7.6000E+01 7.6000E+01 0.0 1.9000E-02 7.6000E-02 1.6880E-01 2.9660E-01 4.5660E-01 6.4570E-01 1.0977E+00 1.6240E+00 2.7909E+00 3.9804E+00 4.5580E+00 5.9381E+00 7.2580E+00 8.5542E+00 9.8410E+00 1.2367E+01 1.4803E+01 1.9427E+01 2.3694E+01 2.7429E+01 3.0602E+01 3.3349E+01 3.5817E+01 3.8100E+01 4.3217E+01 4.7651E+01 5.4678E+01 5.9496E+01 6.2811E+01 6.5223E+01 6.7081E+01 6.9824E+01 7.1749E+01 7.3088E+01 7.3997E+01 7.5052E+01 7.6181E+01 7.6663E+01 7.6997E+01 7.7000E+01 7.7000E+01 7.7000E+01 7.7000E+01 7.7000E+01 0.0 1.6000E-02 6.4000E-02 1.4200E-01 2.4980E-01 3.8520E-01 5.4590E-01 9.3300E-01 1.3900E+00 2.4347E+00 3.5557E+00 4.1230E+00 5.5322E+00 6.9170E+00 8.2699E+00 9.5890E+00 1.2130E+01 1.4583E+01 1.9337E+01 2.3766E+01 2.7638E+01 3.0910E+01 3.3713E+01 3.6204E+01 3.8491E+01 4.3610E+01 4.8049E+01 5.5142E+01 6.0077E+01 6.3483E+01 6.5953E+01 6.7847E+01 7.0633E+01 7.2593E+01 7.3968E+01 7.4906E+01 7.5997E+01 7.7152E+01 7.7647E+01 7.7997E+01 7.8000E+01 7.8000E+01 7.8000E+01 7.8000E+01 7.8000E+01 0.0 1.6000E-02 6.2000E-02 1.3800E-01 2.4280E-01 3.7460E-01 5.3120E-01 9.0930E-01 1.3570E+00 2.3876E+00 3.5019E+00 4.0680E+00 5.4827E+00 6.8750E+00 8.2364E+00 9.5600E+00 1.2102E+01 1.4551E+01 1.9321E+01 2.3828E+01 2.7815E+01 3.1197E+01 3.4072E+01 3.6597E+01 3.8896E+01 4.4011E+01 4.8456E+01 5.5605E+01 6.0651E+01 6.4149E+01 6.6678E+01 6.8610E+01 7.1441E+01 7.3436E+01 7.4845E+01 7.5813E+01 7.6941E+01 7.8123E+01 7.8630E+01 7.8997E+01 7.9000E+01 7.9000E+01 7.9000E+01 7.9000E+01 7.9000E+01 0.0 1.7000E-02 6.9000E-02 1.5520E-01 2.7310E-01 4.2120E-01 5.9690E-01 1.0202E+00 1.5190E+00 2.6468E+00 3.8275E+00 4.4090E+00 5.8147E+00 7.1590E+00 8.4708E+00 9.7660E+00 1.2310E+01 1.4772E+01 1.9489E+01 2.3960E+01 2.8005E+01 3.1480E+01 3.4429E+01 3.6994E+01 3.9307E+01 4.4422E+01 4.8866E+01 5.6066E+01 6.1218E+01 6.4808E+01 6.7399E+01 6.9370E+01 7.2248E+01 7.4278E+01 7.5720E+01 7.6718E+01 7.7884E+01 7.9093E+01 7.9612E+01 7.9997E+01 8.0000E+01 8.0000E+01 8.0000E+01 8.0000E+01 8.0000E+01 0.0 1.8000E-02 7.3000E-02 1.6200E-01 2.8480E-01 4.3870E-01 6.2100E-01 1.0589E+00 1.5730E+00 2.7370E+00 3.9647E+00 4.5750E+00 6.0563E+00 7.4600E+00 8.7999E+00 1.0096E+01 1.2608E+01 1.5041E+01 1.9702E+01 2.4127E+01 2.8197E+01 3.1750E+01 3.4777E+01 3.7390E+01 3.9724E+01 4.4844E+01 4.9283E+01 5.6529E+01 6.1779E+01 6.5461E+01 6.8116E+01 7.0129E+01 7.3053E+01 7.5117E+01 7.6592E+01 7.7620E+01 7.8826E+01 8.0063E+01 8.0594E+01 8.0996E+01 8.1000E+01 8.1000E+01 8.1000E+01 8.1000E+01 8.1000E+01 0.0 1.8000E-02 7.2000E-02 1.5980E-01 2.8130E-01 4.3390E-01 6.1520E-01 1.0528E+00 1.5710E+00 2.7554E+00 4.0221E+00 4.6580E+00 6.2119E+00 7.6940E+00 9.0990E+00 1.0437E+01 1.2964E+01 1.5368E+01 1.9964E+01 2.4337E+01 2.8408E+01 3.2020E+01 3.5121E+01 3.7790E+01 4.0151E+01 4.5277E+01 4.9713E+01 5.6993E+01 6.2335E+01 6.6108E+01 6.8829E+01 7.0885E+01 7.3858E+01 7.5956E+01 7.7463E+01 7.8521E+01 7.9767E+01 8.1033E+01 8.1576E+01 8.1996E+01 8.2000E+01 8.2000E+01 8.2000E+01 8.2000E+01 8.2000E+01 0.0 1.7000E-02 7.0000E-02 1.5580E-01 2.7440E-01 4.2350E-01 6.0100E-01 1.0304E+00 1.5400E+00 2.7146E+00 3.9811E+00 4.6220E+00 6.2096E+00 7.7570E+00 9.2502E+00 1.0676E+01 1.3314E+01 1.5734E+01 2.0268E+01 2.4586E+01 2.8642E+01 3.2294E+01 3.5462E+01 3.8190E+01 4.0585E+01 4.5722E+01 5.0156E+01 5.7459E+01 6.2887E+01 6.6751E+01 6.9538E+01 7.1638E+01 7.4662E+01 7.6793E+01 7.8332E+01 7.9419E+01 8.0706E+01 8.2002E+01 8.2558E+01 8.2996E+01 8.3000E+01 8.3000E+01 8.3000E+01 8.3000E+01 8.3000E+01 0.0 1.7000E-02 6.8000E-02 1.5170E-01 2.6740E-01 4.1350E-01 5.8790E-01 1.0126E+00 1.5220E+00 2.7120E+00 4.0170E+00 4.6820E+00 6.3350E+00 7.9450E+00 9.4960E+00 1.0976E+01 1.3694E+01 1.6133E+01 2.0606E+01 2.4863E+01 2.8893E+01 3.2568E+01 3.5795E+01 3.8581E+01 4.1016E+01 4.6177E+01 5.0602E+01 5.7930E+01 6.3435E+01 6.7387E+01 7.0242E+01 7.2389E+01 7.5465E+01 7.7628E+01 7.9199E+01 8.0315E+01 8.1644E+01 8.2972E+01 8.3539E+01 8.3995E+01 8.4000E+01 8.4000E+01 8.4000E+01 8.4000E+01 8.4000E+01 0.0 1.7600E-02 6.6000E-02 1.4760E-01 2.6050E-01 4.0320E-01 5.7400E-01 9.9210E-01 1.4970E+00 2.6909E+00 4.0193E+00 4.7020E+00 6.4082E+00 8.0760E+00 9.6870E+00 1.1229E+01 1.4056E+01 1.6546E+01 2.0978E+01 2.5171E+01 2.9169E+01 3.2854E+01 3.6127E+01 3.8971E+01 4.1450E+01 4.6643E+01 5.1062E+01 5.8404E+01 6.3979E+01 6.8018E+01 7.0943E+01 7.3137E+01 7.6266E+01 7.8463E+01 8.0064E+01 8.1210E+01 8.2588E+01 8.3941E+01 8.4520E+01 8.4995E+01 8.5000E+01 8.5000E+01 8.5000E+01 8.5000E+01 8.5000E+01 0.0 1.6000E-02 6.4000E-02 1.4360E-01 2.5360E-01 3.9280E-01 5.5960E-01 9.6880E-01 1.4650E+00 2.6449E+00 3.9684E+00 4.6520E+00 6.3706E+00 8.0650E+00 9.7216E+00 1.1329E+01 1.4317E+01 1.6929E+01 2.1382E+01 2.5507E+01 2.9469E+01 3.3153E+01 3.6460E+01 3.9358E+01 4.1885E+01 4.7118E+01 5.1533E+01 5.8884E+01 6.4521E+01 6.8646E+01 7.1639E+01 7.3882E+01 7.7067E+01 7.9296E+01 8.0927E+01 8.2102E+01 8.3515E+01 8.4910E+01 8.5501E+01 8.5995E+01 8.6000E+01 8.6000E+01 8.6000E+01 8.6000E+01 8.6000E+01 0.0 3.1000E-02 1.2200E-01 2.6840E-01 4.6070E-01 6.8950E-01 9.4480E-01 1.5005E+00 2.0780E+00 3.2516E+00 4.4821E+00 5.1240E+00 6.7708E+00 8.4150E+00 1.0030E+01 1.1609E+01 1.4614E+01 1.7303E+01 2.1816E+01 2.5878E+01 2.9791E+01 3.3463E+01 3.6795E+01 3.9740E+01 4.2315E+01 4.7602E+01 5.2013E+01 5.9368E+01 6.5062E+01 6.9268E+01 7.2331E+01 7.4624E+01 7.7866E+01 8.0128E+01 8.1789E+01 8.2992E+01 8.4449E+01 8.5879E+01 8.6481E+01 8.6994E+01 8.7000E+01 8.7000E+01 8.7000E+01 8.7000E+01 8.7000E+01 0.0 3.6000E-02 1.4400E-01 3.1700E-01 5.4700E-01 8.2340E-01 1.1346E+00 1.8169E+00 2.5200E+00 3.8479E+00 5.0824E+00 5.6960E+00 7.2665E+00 8.8580E+00 1.0427E+01 1.1964E+01 1.4934E+01 1.7672E+01 2.2270E+01 2.6283E+01 3.0139E+01 3.3790E+01 3.7136E+01 4.0121E+01 4.2744E+01 4.8093E+01 5.2502E+01 5.9858E+01 6.5602E+01 6.9885E+01 7.3018E+01 7.5363E+01 7.8664E+01 8.0960E+01 8.2649E+01 8.3881E+01 8.5381E+01 8.6847E+01 8.7461E+01 8.7994E+01 8.8000E+01 8.8000E+01 8.8000E+01 8.8000E+01 8.8000E+01 0.0 3.5000E-02 1.4000E-01 3.0830E-01 5.3400E-01 8.0770E-01 1.1192E+00 1.8144E+00 2.5480E+00 3.9624E+00 5.2647E+00 5.8980E+00 7.4878E+00 9.0920E+00 1.0674E+01 1.2220E+01 1.5203E+01 1.7992E+01 2.2715E+01 2.6712E+01 3.0511E+01 3.4133E+01 3.7483E+01 4.0498E+01 4.3164E+01 4.8588E+01 5.3000E+01 6.0356E+01 6.6142E+01 7.0497E+01 7.3702E+01 7.6099E+01 7.9461E+01 8.1790E+01 8.3508E+01 8.4767E+01 8.6311E+01 8.7816E+01 8.8441E+01 8.8993E+01 8.9000E+01 8.9000E+01 8.9000E+01 8.9000E+01 8.9000E+01 0.0 3.4000E-02 1.3500E-01 2.9860E-01 5.1870E-01 7.8730E-01 1.0953E+00 1.7920E+00 2.5400E+00 4.0165E+00 5.3826E+00 6.0390E+00 7.6634E+00 9.2890E+00 1.0889E+01 1.2446E+01 1.5442E+01 1.8271E+01 2.3139E+01 2.7162E+01 3.0909E+01 3.4496E+01 3.7842E+01 4.0879E+01 4.3582E+01 4.9085E+01 5.3510E+01 6.0860E+01 6.6682E+01 7.1107E+01 7.4381E+01 7.6832E+01 8.0257E+01 8.2619E+01 8.4365E+01 8.5652E+01 8.7241E+01 8.8784E+01 8.9421E+01 8.9993E+01 9.0000E+01 9.0000E+01 9.0000E+01 9.0000E+01 9.0000E+01 0.0 3.4000E-02 1.3400E-01 2.9610E-01 5.1370E-01 7.7840E-01 1.0807E+00 1.7605E+00 2.4850E+00 3.9044E+00 5.2277E+00 5.8730E+00 7.4975E+00 9.1430E+00 1.0767E+01 1.2345E+01 1.5364E+01 1.8189E+01 2.3062E+01 2.7163E+01 3.0988E+01 3.4631E+01 3.8032E+01 4.1137E+01 4.3916E+01 4.9565E+01 5.4030E+01 6.1374E+01 6.7219E+01 7.1707E+01 7.5050E+01 7.7558E+01 8.1053E+01 8.3451E+01 8.5224E+01 8.6537E+01 8.8170E+01 8.9752E+01 9.0400E+01 9.0999E+01 9.1000E+01 9.1000E+01 9.1000E+01 9.1000E+01 9.1000E+01 0.0 3.3000E-02 1.3200E-01 2.9100E-01 5.0510E-01 7.6590E-01 1.0643E+00 1.7371E+00 2.4570E+00 3.8752E+00 5.2029E+00 5.8510E+00 7.4819E+00 9.1360E+00 1.0771E+01 1.2359E+01 1.5387E+01 1.8222E+01 2.3157E+01 2.7321E+01 3.1178E+01 3.4842E+01 3.8270E+01 4.1418E+01 4.4254E+01 5.0036E+01 5.4551E+01 6.1894E+01 6.7760E+01 7.2306E+01 7.5717E+01 7.8282E+01 8.1846E+01 8.4280E+01 8.6081E+01 8.7420E+01 8.9097E+01 9.0719E+01 9.1379E+01 9.1992E+01 9.2000E+01 9.2000E+01 9.2000E+01 9.2000E+01 9.2000E+01 0.0 3.3000E-02 1.3000E-01 2.8710E-01 4.9860E-01 7.5650E-01 1.0521E+00 1.7203E+00 2.4380E+00 3.8595E+00 5.1947E+00 5.8460E+00 7.4835E+00 9.1430E+00 1.0784E+01 1.2375E+01 1.5403E+01 1.8242E+01 2.3230E+01 2.7456E+01 3.1349E+01 3.5038E+01 3.8495E+01 4.1683E+01 4.4573E+01 5.0496E+01 5.5072E+01 6.2420E+01 6.8304E+01 7.2902E+01 7.6380E+01 7.9001E+01 8.2637E+01 8.5108E+01 8.6936E+01 8.8302E+01 9.0023E+01 9.1687E+01 9.2358E+01 9.2991E+01 9.3000E+01 9.3000E+01 9.3000E+01 9.3000E+01 9.3000E+01 0.0 3.3000E-02 1.3100E-01 2.9030E-01 5.0330E-01 7.6200E-01 1.0572E+00 1.7194E+00 2.4240E+00 3.8106E+00 5.1243E+00 5.7740E+00 7.4222E+00 9.0890E+00 1.0720E+01 1.2288E+01 1.5254E+01 1.8039E+01 2.3007E+01 2.7315E+01 3.1301E+01 3.5059E+01 3.8580E+01 4.1840E+01 4.4812E+01 5.0924E+01 5.5593E+01 6.2956E+01 6.8849E+01 7.3494E+01 7.7035E+01 7.9714E+01 8.3426E+01 8.5937E+01 8.7792E+01 8.9183E+01 9.0948E+01 9.2655E+01 9.3337E+01 9.3990E+01 9.4000E+01 9.4000E+01 9.4000E+01 9.4000E+01 9.4000E+01 0.0 3.3000E-02 1.2900E-01 2.8600E-01 4.9600E-01 7.5140E-01 1.0431E+00 1.6990E+00 2.3990E+00 3.7815E+00 5.0943E+00 5.7450E+00 7.3919E+00 9.0650E+00 1.0700E+01 1.2277E+01 1.5246E+01 1.8033E+01 2.3027E+01 2.7380E+01 3.1401E+01 3.5190E+01 3.8740E+01 4.2040E+01 4.5067E+01 5.1338E+01 5.6106E+01 6.3495E+01 6.9399E+01 7.4088E+01 7.7688E+01 8.0425E+01 8.4213E+01 8.6763E+01 8.8646E+01 9.0062E+01 9.1870E+01 9.3622E+01 9.4316E+01 9.4990E+01 9.5000E+01 9.5000E+01 9.5000E+01 9.5000E+01 9.5000E+01 0.0 3.1800E-02 1.2430E-01 2.7560E-01 4.7920E-01 7.2830E-01 1.0148E+00 1.6668E+00 2.3810E+00 3.7916E+00 5.1346E+00 5.7832E+00 7.4322E+00 9.1157E+00 1.0744E+01 1.2355E+01 1.5380E+01 1.8189E+01 2.3222E+01 2.7609E+01 3.1662E+01 3.5480E+01 3.9058E+01 4.2384E+01 4.5435E+01 5.1755E+01 5.6572E+01 6.4037E+01 6.9951E+01 7.4697E+01 7.8340E+01 8.1132E+01 8.4998E+01 8.7587E+01 8.9497E+01 9.0944E+01 9.2791E+01 9.4589E+01 9.5294E+01 9.5989E+01 9.6000E+01 9.6000E+01 9.6000E+01 9.6000E+01 9.6000E+01 0.0 3.1400E-02 1.2260E-01 2.7190E-01 4.7300E-01 7.1920E-01 1.0027E+00 1.6489E+00 2.3605E+00 3.7660E+00 5.1096E+00 5.7589E+00 7.4096E+00 9.1003E+00 1.0741E+01 1.2360E+01 1.5408E+01 1.8246E+01 2.3331E+01 2.7763E+01 3.1857E+01 3.5715E+01 3.9330E+01 4.2690E+01 4.5772E+01 5.2158E+01 5.7033E+01 6.4588E+01 7.0508E+01 7.5304E+01 7.8986E+01 8.1836E+01 8.5780E+01 8.8411E+01 9.0348E+01 9.1825E+01 9.3711E+01 9.5555E+01 9.6272E+01 9.6988E+01 9.6999E+01 9.7000E+01 9.7000E+01 9.7000E+01 9.7000E+01 0.0 3.1600E-02 1.2350E-01 2.7380E-01 4.7540E-01 7.2120E-01 1.0028E+00 1.6395E+00 2.3288E+00 3.6901E+00 4.9958E+00 5.6436E+00 7.2905E+00 8.9942E+00 1.0647E+01 1.2264E+01 1.5308E+01 1.8181E+01 2.3332E+01 2.7820E+01 3.1967E+01 3.5874E+01 3.9535E+01 4.2938E+01 4.6059E+01 5.2527E+01 5.7476E+01 6.5147E+01 7.1070E+01 7.5910E+01 7.9626E+01 8.2534E+01 8.6559E+01 8.9236E+01 9.1200E+01 9.2146E+01 9.4631E+01 9.6522E+01 9.7250E+01 9.7988E+01 9.7999E+01 9.8000E+01 9.8000E+01 9.8000E+01 9.8000E+01 0.0 3.1200E-02 1.2180E-01 2.7000E-01 4.6890E-01 7.1170E-01 9.9000E-01 1.6203E+00 2.3054E+00 3.6585E+00 4.9596E+00 5.6055E+00 7.2476E+00 8.9535E+00 1.0609E+01 1.2233E+01 1.5292E+01 1.8195E+01 2.3397E+01 2.7931E+01 3.2119E+01 3.6066E+01 3.9764E+01 4.3201E+01 4.6354E+01 5.2886E+01 5.7915E+01 6.5707E+01 7.1635E+01 7.6517E+01 8.0266E+01 8.3231E+01 8.7335E+01 9.0057E+01 9.2050E+01 9.3586E+01 9.5548E+01 9.7488E+01 9.8228E+01 9.8987E+01 9.8999E+01 9.9000E+01 9.9000E+01 9.9000E+01 9.9000E+01 0.0 3.0700E-02 1.2010E-01 2.6630E-01 4.6270E-01 7.0240E-01 9.7760E-01 1.6016E+00 2.2824E+00 3.6270E+00 4.9229E+00 5.5666E+00 7.2031E+00 8.9103E+00 1.0567E+01 1.2199E+01 1.5272E+01 1.8202E+01 2.3453E+01 2.8029E+01 3.2257E+01 3.6240E+01 3.9973E+01 4.3442E+01 4.6625E+01 5.3218E+01 5.8337E+01 6.6270E+01 7.2204E+01 7.7125E+01 8.0904E+01 8.3926E+01 8.8109E+01 9.0877E+01 9.2899E+01 9.4465E+01 9.6464E+01 9.8453E+01 9.9206E+01 9.9986E+01 9.9999E+01 1.0000E+02 1.0000E+02 1.0000E+02 1.0000E+02] PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Pa.mat0000644000276300001750000002277213136054446020331 0ustar solebliss00000000000000Pa 1 91 1.000000 13 4 3 3 5 3 3 3 3 6 3 3 8 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0067E-03 1.0067E-03 1.1102E-03 1.2243E-03 1.2243E-03 1.3032E-03 1.3871E-03 1.3871E-03 1.5000E-03 2.0000E-03 3.0000E-03 3.4418E-03 3.4418E-03 3.5255E-03 3.6112E-03 3.6112E-03 4.0000E-03 4.1738E-03 4.1738E-03 5.0000E-03 5.0009E-03 5.0009E-03 5.1807E-03 5.3669E-03 5.3669E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.6733E-02 1.6733E-02 2.0000E-02 2.0314E-02 2.0314E-02 2.0705E-02 2.1105E-02 2.1105E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.1260E-01 1.1260E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.3658E+01 1.1453E+35 1.2139E+02 1.3651E+01 1.3651E+01 1.3522E+01 1.3377E+01 1.3377E+01 1.3281E+01 1.3176E+01 1.3176E+01 1.3025E+01 1.2360E+01 1.1073E+01 1.0544E+01 1.0544E+01 1.0446E+01 1.0346E+01 1.0346E+01 9.9076E+00 9.7199E+00 9.7199E+00 8.8937E+00 8.8937E+00 8.8937E+00 8.7805E+00 8.5574E+00 8.5574E+00 8.0231E+00 6.6129E+00 5.5338E+00 3.7509E+00 3.3260E+00 3.3260E+00 2.6978E+00 2.6457E+00 2.6457E+00 2.5844E+00 2.5253E+00 2.5253E+00 1.5890E+00 1.0682E+00 7.6920E-01 5.7840E-01 3.6336E-01 2.5203E-01 2.0647E-01 2.0647E-01 1.2585E-01 7.5330E-02 5.0348E-02 3.6127E-02 2.7219E-02 2.1251E-02 1.7050E-02 1.3979E-02 1.1666E-02 9.8842E-03 8.4834E-03 6.4463E-03 5.6902E-03 5.0580E-03 4.0749E-03 3.6909E-03 3.5397E-03 2.3889E-03 2.2119E-03 1.9127E-03 1.6706E-03 1.4715E-03 1.1666E-03 9.4749E-04 9.0761E-04 7.8477E-04 5.6357E-04 4.2409E-04 2.3915E-04 1.5327E-04 1.0650E-04 7.8302E-05 5.9951E-05 4.7388E-05 3.8395E-05 3.1722E-05 2.6665E-05 2.2722E-05 1.9594E-05 1.7068E-05 1.5001E-05 1.1855E-05 9.6026E-06 7.9370E-06 6.6676E-06 5.6823E-06 4.9004E-06 4.2670E-06 2.4009E-06 1.5366E-06 1.0671E-06 6.0030E-07 3.8421E-07 1.7073E-07 9.6026E-08 4.2696E-08 2.4009E-08 1.5366E-08 1.0671E-08 6.0030E-09 3.8421E-09 1.7073E-09 9.6026E-10 4.2696E-10 2.4009E-10 1.5366E-10 1.0671E-10 6.0030E-11 3.8421E-11 1.7073E-11 9.6026E-12 4.2696E-12 2.4009E-12 1.5366E-12 1.0671E-12 6.0030E-13 3.8421E-13 INCOHERENT SCATTERING CROSS SECTION 4.7023E-03 1.6252E+25 1.5159E-02 4.7440E-03 4.7440E-03 5.3890E-03 6.0838E-03 6.0838E-03 6.5448E-03 7.0352E-03 7.0352E-03 7.7155E-03 1.0684E-02 1.6437E-02 1.8864E-02 1.8864E-02 1.9317E-02 1.9766E-02 1.9766E-02 2.1778E-02 2.2651E-02 2.2651E-02 2.6587E-02 2.6613E-02 2.6613E-02 2.8931E-02 2.8229E-02 2.8229E-02 3.0888E-02 3.8421E-02 4.5068E-02 5.8387E-02 6.1984E-02 6.1984E-02 6.7719E-02 6.8214E-02 6.8214E-02 6.8816E-02 6.9413E-02 6.9413E-02 8.0022E-02 8.7659E-02 9.2299E-02 9.5036E-02 9.7147E-02 9.7069E-02 9.6470E-02 9.6470E-02 9.3420E-02 8.8572E-02 8.3847E-02 7.9579E-02 7.5806E-02 7.2463E-02 6.9480E-02 6.6807E-02 6.4394E-02 6.2193E-02 6.0167E-02 5.6582E-02 5.4999E-02 5.3536E-02 5.0881E-02 4.9655E-02 4.9134E-02 4.4520E-02 4.3651E-02 4.2024E-02 4.0532E-02 3.9158E-02 3.6722E-02 3.4641E-02 3.4224E-02 3.2830E-02 2.9766E-02 2.7291E-02 2.2787E-02 1.9685E-02 1.7404E-02 1.5645E-02 1.4240E-02 1.3090E-02 1.2128E-02 1.1313E-02 1.0611E-02 9.9962E-03 9.4567E-03 8.9797E-03 8.5496E-03 7.8145E-03 7.2072E-03 6.6937E-03 6.2558E-03 5.8752E-03 5.5416E-03 5.2470E-03 4.1705E-03 3.4798E-03 2.9976E-03 2.3652E-03 1.9630E-03 1.3979E-03 1.0961E-03 7.7702E-04 6.0838E-04 5.0359E-04 4.3139E-04 3.3677E-04 2.7708E-04 1.9351E-04 1.4977E-04 1.0413E-04 8.0387E-05 6.5712E-05 5.5729E-05 4.2930E-05 3.5059E-05 2.4228E-05 1.8627E-05 1.2845E-05 9.8633E-06 8.0309E-06 6.7901E-06 5.2053E-06 4.2357E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.5165E+03 4.1979E+05 2.2833E+04 6.4383E+03 6.8553E+03 5.7244E+03 4.7831E+03 4.8508E+03 4.2940E+03 3.8030E+03 3.8786E+03 3.3130E+03 1.8212E+03 7.4470E+02 5.4425E+02 1.3520E+03 1.2602E+03 1.1748E+03 1.6841E+03 1.3046E+03 1.1724E+03 1.3648E+03 8.6695E+02 8.6669E+02 9.1986E+02 8.4294E+02 7.7259E+02 8.0569E+02 6.1359E+02 3.0080E+02 1.7136E+02 6.0603E+01 4.5641E+01 1.0963E+02 6.7484E+01 6.4747E+01 9.1804E+01 8.7368E+01 8.3176E+01 9.6000E+01 3.9099E+01 1.8413E+01 1.0187E+01 6.2558E+00 2.8829E+00 1.5752E+00 1.1417E+00 4.8952E+00 2.3558E+00 1.1240E+00 6.3405E-01 3.9959E-01 2.7237E-01 1.9672E-01 1.4851E-01 1.1607E-01 9.3267E-02 7.6660E-02 6.4206E-02 4.7115E-02 4.1106E-02 3.6225E-02 2.8853E-02 2.6027E-02 2.4922E-02 1.6844E-02 1.5634E-02 1.3602E-02 1.1977E-02 1.0659E-02 8.6642E-03 7.2359E-03 6.9752E-03 6.1710E-03 4.7101E-03 3.7691E-03 2.4611E-03 1.7998E-03 1.4078E-03 1.1513E-03 9.7121E-04 8.3854E-04 7.3714E-04 6.5686E-04 5.9222E-04 5.3878E-04 4.9421E-04 4.5641E-04 4.2357E-04 3.7066E-04 3.2921E-04 2.9611E-04 2.6900E-04 2.4630E-04 2.2719E-04 2.1082E-04 1.5488E-04 1.2235E-04 1.0111E-04 7.5017E-05 5.9639E-05 3.9412E-05 2.9428E-05 1.9534E-05 1.4618E-05 1.1680E-05 9.7252E-06 7.2854E-06 5.8231E-06 3.8786E-06 2.9089E-06 1.9380E-06 1.4532E-06 1.1623E-06 9.6861E-07 7.2645E-07 5.8101E-07 3.8734E-07 2.9037E-07 1.9364E-07 1.4524E-07 1.1618E-07 9.6808E-08 7.2619E-08 5.8101E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4651E-04 7.1034E-04 1.3866E-03 2.1953E-03 3.0605E-03 4.7902E-03 6.4487E-03 6.8084E-03 8.0447E-03 1.0927E-02 1.3471E-02 1.8921E-02 2.3472E-02 2.7369E-02 3.0836E-02 3.3964E-02 3.6805E-02 3.9438E-02 4.1888E-02 4.4155E-02 4.6293E-02 4.8274E-02 5.0125E-02 5.1871E-02 5.5025E-02 5.7840E-02 6.0394E-02 6.2740E-02 6.4878E-02 6.6833E-02 6.8631E-02 7.5982E-02 8.1456E-02 8.5678E-02 9.1908E-02 9.6287E-02 1.0322E-01 1.0734E-01 1.1216E-01 1.1490E-01 1.1672E-01 1.1800E-01 1.1972E-01 1.2084E-01 1.2246E-01 1.2332E-01 1.2428E-01 1.2478E-01 1.2512E-01 1.2535E-01 1.2564E-01 1.2582E-01 1.2608E-01 1.2621E-01 1.2637E-01 1.2645E-01 1.2647E-01 1.2652E-01 1.2655E-01 1.2658E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1466E-08 2.7095E-06 9.5349E-06 3.8838E-05 7.7233E-05 1.1836E-04 1.5924E-04 1.9870E-04 2.3636E-04 2.7213E-04 3.0575E-04 3.3755E-04 3.6727E-04 3.9542E-04 4.2227E-04 4.4755E-04 4.9421E-04 5.3669E-04 5.7527E-04 6.1072E-04 6.4304E-04 6.7328E-04 7.0117E-04 8.1586E-04 9.0188E-04 9.6939E-04 1.0703E-03 1.1430E-03 1.2618E-03 1.3356E-03 1.4250E-03 1.4782E-03 1.5147E-03 1.5410E-03 1.5778E-03 1.6020E-03 1.6382E-03 1.6588E-03 1.6812E-03 1.6943E-03 1.7024E-03 1.7081E-03 1.7157E-03 1.7206E-03 1.7271E-03 1.7310E-03 1.7344E-03 1.7368E-03 1.7383E-03 1.7391E-03 1.7402E-03 1.7409E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Es.mat0000644000276300001750000002334413136054446020334 0ustar solebliss00000000000000Es 1 99 1.000000 14 4 3 3 3 5 3 3 3 3 6 3 3 8 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0320E-03 1.0320E-03 1.1676E-03 1.3210E-03 1.3210E-03 1.5000E-03 1.6800E-03 1.6800E-03 1.7715E-03 1.8680E-03 1.8680E-03 2.0000E-03 3.0000E-03 4.0000E-03 4.3740E-03 4.3740E-03 4.5002E-03 4.6300E-03 4.6300E-03 5.0000E-03 5.2520E-03 5.2520E-03 6.0000E-03 6.5740E-03 6.5740E-03 6.7725E-03 6.9770E-03 6.9770E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 2.0410E-02 2.0410E-02 2.3045E-02 2.6020E-02 2.6020E-02 2.6456E-02 2.6900E-02 2.6900E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.3949E-01 1.3949E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.4952E+01 1.0373E+01 1.5583E+01 1.4914E+01 1.4914E+01 1.4761E+01 1.4582E+01 1.4582E+01 1.4348E+01 1.4109E+01 1.4109E+01 1.3994E+01 1.3870E+01 1.3870E+01 1.3689E+01 1.2339E+01 1.1056E+01 1.0607E+01 1.0607E+01 1.0460E+01 1.0311E+01 1.0311E+01 9.9022E+00 9.6346E+00 9.6346E+00 8.8988E+00 8.3900E+00 8.3900E+00 8.2227E+00 8.0555E+00 8.0555E+00 7.2982E+00 6.1038E+00 4.1735E+00 3.0364E+00 2.9647E+00 2.9647E+00 2.5484E+00 2.1737E+00 2.1737E+00 2.1268E+00 2.0808E+00 2.0808E+00 1.7986E+00 1.2047E+00 8.7603E-01 6.6269E-01 4.1687E-01 2.8930E-01 1.6553E-01 1.6553E-01 1.4601E-01 8.7698E-02 5.8706E-02 4.2213E-02 3.1892E-02 2.4965E-02 2.0071E-02 1.6486E-02 1.3783E-02 1.1694E-02 1.0047E-02 7.6493E-03 6.7607E-03 6.0187E-03 4.8589E-03 4.4004E-03 4.2189E-03 2.8548E-03 2.6449E-03 2.2888E-03 1.9998E-03 1.7621E-03 1.3982E-03 1.1369E-03 1.0894E-03 9.4270E-04 6.7772E-04 5.1028E-04 2.8811E-04 1.8476E-04 1.2845E-04 9.4459E-05 7.2337E-05 5.7191E-05 4.6322E-05 3.8295E-05 3.2179E-05 2.7425E-05 2.3651E-05 2.0605E-05 1.8111E-05 1.4310E-05 1.1591E-05 9.5797E-06 8.0508E-06 6.8611E-06 5.9150E-06 5.1530E-06 2.8978E-06 1.8553E-06 1.2884E-06 7.2481E-07 4.6393E-07 2.0614E-07 1.1596E-07 5.1530E-08 2.8978E-08 1.8553E-08 1.2884E-08 7.2481E-09 4.6370E-09 2.0614E-09 1.1596E-09 5.1530E-10 2.8978E-10 1.8553E-10 1.2884E-10 7.2481E-11 4.6370E-11 2.0614E-11 1.1596E-11 5.1530E-12 2.8978E-12 1.8553E-12 1.2884E-12 7.2481E-13 4.6370E-13 INCOHERENT SCATTERING CROSS SECTION 4.0278E-03 8.9316E+19 6.9992E-03 4.2022E-03 4.2022E-03 4.9298E-03 5.7478E-03 5.7478E-03 6.7225E-03 7.7091E-03 7.7091E-03 8.2106E-03 8.7388E-03 8.7388E-03 9.4602E-03 1.4814E-02 1.9802E-02 2.1567E-02 2.1567E-02 2.2149E-02 2.2740E-02 2.2740E-02 2.4391E-02 2.5490E-02 2.5490E-02 2.8572E-02 3.0817E-02 3.0817E-02 3.1577E-02 3.2346E-02 3.2346E-02 3.6001E-02 4.2595E-02 5.6021E-02 6.5672E-02 6.6341E-02 6.6341E-02 7.0228E-02 7.3914E-02 7.3914E-02 7.4405E-02 7.4894E-02 7.4894E-02 7.8071E-02 8.5572E-02 9.0255E-02 9.3121E-02 9.5510E-02 9.5630E-02 9.3217E-02 9.3217E-02 9.2333E-02 8.7698E-02 8.3148E-02 7.9003E-02 7.5297E-02 7.2003E-02 6.9069E-02 6.6437E-02 6.4053E-02 6.1874E-02 5.9866E-02 5.6318E-02 5.4755E-02 5.3312E-02 5.0681E-02 4.9451E-02 4.8926E-02 4.4339E-02 4.3477E-02 4.1861E-02 4.0373E-02 3.8999E-02 3.6568E-02 3.4520E-02 3.4114E-02 3.2746E-02 2.9693E-02 2.7210E-02 2.2717E-02 1.9625E-02 1.7351E-02 1.5597E-02 1.4198E-02 1.3051E-02 1.2093E-02 1.1281E-02 1.0581E-02 9.9667E-03 9.4292E-03 8.9514E-03 8.5262E-03 7.7928E-03 7.1860E-03 6.6747E-03 6.2375E-03 5.8577E-03 5.5256E-03 5.2318E-03 4.1568E-03 3.4711E-03 2.9910E-03 2.3584E-03 1.9573E-03 1.3940E-03 1.0929E-03 7.7474E-04 6.0679E-04 5.0216E-04 4.3001E-04 3.3589E-04 2.7640E-04 1.9296E-04 1.4933E-04 1.0385E-04 8.0149E-05 6.5529E-05 5.5567E-05 4.2810E-05 3.4950E-05 2.4152E-05 1.8574E-05 1.2810E-05 9.8329E-06 8.0078E-06 6.7703E-06 5.1912E-06 4.2237E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 7.7713E+03 2.8994E+05 2.3102E+04 7.3962E+03 7.6208E+03 6.2144E+03 5.0670E+03 5.3919E+03 4.2093E+03 3.3445E+03 3.3828E+03 3.0293E+03 2.7115E+03 2.7592E+03 2.3885E+03 9.7971E+02 5.0574E+02 4.1018E+02 9.0541E+02 8.5846E+02 8.1392E+02 1.1257E+03 9.4913E+02 8.3972E+02 9.8019E+02 7.0211E+02 5.5424E+02 5.8768E+02 5.4548E+02 5.0646E+02 5.2748E+02 3.7602E+02 2.1563E+02 7.7402E+01 3.6981E+01 3.5094E+01 8.1583E+01 5.8808E+01 4.2380E+01 6.1062E+01 5.8472E+01 5.5973E+01 6.4502E+01 4.8950E+01 2.3612E+01 1.3244E+01 8.2156E+00 3.8438E+00 2.1245E+00 8.7603E-01 3.4210E+00 2.8787E+00 1.3944E+00 7.9666E-01 5.0932E-01 3.5078E-01 2.5538E-01 1.9414E-01 1.5263E-01 1.2324E-01 1.0172E-01 8.5517E-02 6.3102E-02 5.5137E-02 4.8627E-02 3.8788E-02 3.5046E-02 3.3589E-02 2.2733E-02 2.1096E-02 1.8351E-02 1.6156E-02 1.4375E-02 1.1679E-02 9.7517E-03 9.4005E-03 8.3161E-03 6.3423E-03 5.0694E-03 3.3015E-03 2.4105E-03 1.8823E-03 1.5375E-03 1.2958E-03 1.1180E-03 9.8186E-04 8.7459E-04 7.8811E-04 7.1669E-04 6.5696E-04 6.0632E-04 5.6284E-04 4.9212E-04 4.3694E-04 3.9274E-04 3.5667E-04 3.2657E-04 3.0125E-04 2.7951E-04 2.0514E-04 1.6197E-04 1.3381E-04 9.9237E-05 7.8859E-05 5.2103E-05 3.8892E-05 2.5825E-05 1.9319E-05 1.5435E-05 1.2850E-05 9.6275E-06 7.6948E-06 5.1267E-06 3.8414E-06 2.5610E-06 1.9200E-06 1.5359E-06 1.2798E-06 9.5964E-07 7.6757E-07 5.1171E-07 3.8367E-07 2.5586E-07 1.9188E-07 1.5349E-07 1.2790E-07 9.5940E-08 7.6757E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0240E-04 8.0784E-04 1.6003E-03 2.5514E-03 3.5589E-03 5.5207E-03 7.3484E-03 7.7426E-03 9.0878E-03 1.2164E-02 1.4819E-02 2.0404E-02 2.5060E-02 2.8930E-02 3.2490E-02 3.5715E-02 3.8677E-02 4.1424E-02 4.3957E-02 4.6346E-02 4.8567E-02 5.0646E-02 5.2605E-02 5.4444E-02 5.7765E-02 6.0727E-02 6.3450E-02 6.5935E-02 6.8204E-02 7.0283E-02 7.2194E-02 8.0006E-02 8.5835E-02 9.0350E-02 9.6991E-02 1.0167E-01 1.0901E-01 1.1338E-01 1.1847E-01 1.2138E-01 1.2329E-01 1.2466E-01 1.2645E-01 1.2762E-01 1.2929E-01 1.3025E-01 1.3118E-01 1.3180E-01 1.3213E-01 1.3237E-01 1.3268E-01 1.3287E-01 1.3311E-01 1.3328E-01 1.3340E-01 1.3352E-01 1.3359E-01 1.3361E-01 1.3364E-01 1.3366E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1187E-08 2.7008E-06 9.5032E-06 3.8701E-05 7.6948E-05 1.1789E-04 1.5855E-04 1.9781E-04 2.3526E-04 2.7067E-04 3.0411E-04 3.3565E-04 3.6527E-04 3.9322E-04 4.1974E-04 4.4482E-04 4.9117E-04 5.3321E-04 5.7144E-04 6.0655E-04 6.3880E-04 6.6843E-04 6.9614E-04 8.0938E-04 8.9442E-04 9.6107E-04 1.0602E-03 1.1314E-03 1.2477E-03 1.3197E-03 1.4066E-03 1.4580E-03 1.4931E-03 1.5187E-03 1.5538E-03 1.5769E-03 1.6113E-03 1.6309E-03 1.6522E-03 1.6649E-03 1.6725E-03 1.6778E-03 1.6849E-03 1.6895E-03 1.6957E-03 1.6993E-03 1.7026E-03 1.7048E-03 1.7062E-03 1.7069E-03 1.7079E-03 1.7086E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/EGRID.TXT0000644000276300001750000000016113136054446020505 0ustar solebliss0000000000000016 1.0E-04 5.0E-04 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950 1.3 1.4 1.6 1.8 2.2 2.6 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Fr.mat0000644000276300001750000002217013136054446020330 0ustar solebliss00000000000000Fr 1 87 1.000000 11 4 4 3 3 3 3 7 3 3 9 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.1530E-03 1.1530E-03 1.5000E-03 2.0000E-03 2.9999E-03 2.9999E-03 3.0000E-03 3.1362E-03 3.1362E-03 3.3894E-03 3.6630E-03 3.6630E-03 4.0000E-03 4.3270E-03 4.3270E-03 4.4866E-03 4.6520E-03 4.6520E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.5031E-02 1.5031E-02 1.6406E-02 1.7907E-02 1.7907E-02 1.8269E-02 1.8639E-02 1.8639E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.0114E-01 1.0114E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.2964E+01 3.1444E+02 1.4947E+01 1.2794E+01 1.2794E+01 1.2400E+01 1.1787E+01 1.0558E+01 1.0558E+01 1.0558E+01 1.0396E+01 1.0396E+01 1.0073E+01 9.8020E+00 9.8020E+00 9.4428E+00 9.1134E+00 9.1134E+00 8.9569E+00 8.7975E+00 8.7975E+00 8.4762E+00 7.6391E+00 6.2754E+00 5.2304E+00 3.5185E+00 3.5104E+00 3.5104E+00 3.1789E+00 2.8677E+00 2.8677E+00 2.7995E+00 2.7327E+00 2.7327E+00 2.5091E+00 1.4760E+00 9.9100E-01 7.0963E-01 5.3222E-01 3.3429E-01 2.3158E-01 2.2723E-01 2.2723E-01 1.1498E-01 6.8695E-02 4.5882E-02 3.2889E-02 2.4742E-02 1.9288E-02 1.5455E-02 1.2659E-02 1.0556E-02 8.9379E-03 7.6662E-03 5.8197E-03 5.1359E-03 4.5649E-03 3.6757E-03 3.3267E-03 3.1890E-03 2.1510E-03 1.9916E-03 1.7216E-03 1.5030E-03 1.3234E-03 1.0487E-03 8.5140E-04 8.1548E-04 7.0493E-04 5.0605E-04 3.8074E-04 2.1459E-04 1.3750E-04 9.5563E-05 7.0234E-05 5.3789E-05 4.2502E-05 3.4428E-05 2.8461E-05 2.3914E-05 2.0376E-05 1.7571E-05 1.5308E-05 1.3453E-05 1.0631E-05 8.6112E-06 7.1179E-06 5.9811E-06 5.0954E-06 4.3933E-06 3.8263E-06 2.1529E-06 1.3779E-06 9.5698E-07 5.3816E-07 3.4455E-07 1.5311E-07 8.6112E-08 3.8263E-08 2.1529E-08 1.3779E-08 9.5698E-09 5.3816E-09 3.4455E-09 1.5311E-09 8.6112E-10 3.8263E-10 2.1529E-10 1.3779E-10 9.5698E-11 5.3816E-11 3.4455E-11 1.5311E-11 8.6112E-12 3.8263E-12 2.1529E-12 1.3779E-12 9.5698E-13 5.3816E-13 3.4455E-13 INCOHERENT SCATTERING CROSS SECTION 4.0936E-03 2.1263E-04 1.6289E-03 4.9496E-03 4.9496E-03 6.9505E-03 9.9316E-03 1.5802E-02 1.5802E-02 1.5802E-02 1.6569E-02 1.6569E-02 1.8159E-02 1.9466E-02 1.9466E-02 2.1216E-02 2.2831E-02 2.2831E-02 2.3595E-02 2.4378E-02 2.4378E-02 2.5977E-02 3.0243E-02 3.7939E-02 4.4770E-02 5.8137E-02 5.8191E-02 5.8191E-02 6.0867E-02 6.3861E-02 6.3861E-02 6.4514E-02 6.5158E-02 6.5158E-02 6.7453E-02 7.9982E-02 8.7678E-02 9.2268E-02 9.4888E-02 9.6886E-02 9.6724E-02 9.6697E-02 9.6697E-02 9.2943E-02 8.8002E-02 8.3258E-02 7.8983E-02 7.5210E-02 7.1881E-02 6.8924E-02 6.6265E-02 6.3849E-02 6.1647E-02 5.9636E-02 5.6091E-02 5.4518E-02 5.3059E-02 5.0411E-02 4.9199E-02 4.8686E-02 4.4095E-02 4.3230E-02 4.1619E-02 4.0153E-02 3.8813E-02 3.6424E-02 3.4320E-02 3.3888E-02 3.2468E-02 2.9444E-02 2.7030E-02 2.2569E-02 1.9499E-02 1.7239E-02 1.5494E-02 1.4104E-02 1.2964E-02 1.2014E-02 1.1206E-02 1.0509E-02 9.9019E-03 9.3672E-03 8.8920E-03 8.4681E-03 7.7417E-03 7.1395E-03 6.6292E-03 6.1944E-03 5.8191E-03 5.4870E-03 5.1980E-03 4.1287E-03 3.4482E-03 2.9703E-03 2.3425E-03 1.9442E-03 1.3847E-03 1.0855E-03 7.6958E-04 6.0270E-04 4.9874E-04 4.2718E-04 3.3348E-04 2.7435E-04 1.9167E-04 1.4835E-04 1.0315E-04 7.9604E-05 6.5104E-05 5.5194E-05 4.2529E-05 3.4725E-05 2.3997E-05 1.8448E-05 1.2724E-05 9.7669E-06 7.9550E-06 6.7237E-06 5.1548E-06 4.1935E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.0702E+03 4.3288E+05 2.1931E+04 4.6634E+03 4.7606E+03 2.8326E+03 1.5500E+03 6.3078E+02 1.9847E+03 1.9839E+03 1.4390E+03 2.2445E+03 1.7762E+03 1.4058E+03 1.6312E+03 1.3121E+03 1.0766E+03 1.1436E+03 1.0466E+03 9.5779E+02 9.9910E+02 8.4032E+02 5.3735E+02 2.6214E+02 1.4865E+02 5.2169E+01 5.1872E+01 1.2678E+02 1.0000E+02 7.8902E+01 1.1077E+02 1.0540E+02 1.0032E+02 1.1592E+02 9.6751E+01 3.3942E+01 1.5856E+01 8.7219E+00 5.3330E+00 2.4400E+00 1.3269E+00 1.2864E+00 5.7651E+00 2.0865E+00 9.8452E-01 5.5160E-01 3.4590E-01 2.3474E-01 1.6890E-01 1.2712E-01 9.9100E-02 7.9455E-02 6.5185E-02 5.4508E-02 3.9901E-02 3.4779E-02 3.0627E-02 2.4372E-02 2.1980E-02 2.1046E-02 1.4214E-02 1.3193E-02 1.1480E-02 1.0110E-02 8.9969E-03 7.3127E-03 6.1107E-03 5.8920E-03 5.2161E-03 3.9841E-03 3.1890E-03 2.0843E-03 1.5257E-03 1.1943E-03 9.7723E-04 8.2493E-04 7.1260E-04 6.2646E-04 5.5869E-04 5.0360E-04 4.5851E-04 4.2043E-04 3.8830E-04 3.6049E-04 3.1539E-04 2.8029E-04 2.5212E-04 2.2906E-04 2.0984E-04 1.9358E-04 1.7965E-04 1.3204E-04 1.0434E-04 8.6220E-05 6.3996E-05 5.0873E-05 3.3618E-05 2.5113E-05 1.6671E-05 1.2475E-05 9.9667E-06 8.3006E-06 6.2187E-06 4.9712E-06 3.3105E-06 2.4824E-06 1.6542E-06 1.2402E-06 9.9208E-07 8.2682E-07 6.1998E-07 4.9604E-07 3.3051E-07 2.4794E-07 1.6528E-07 1.2397E-07 9.9154E-08 8.2628E-08 6.1971E-08 4.9577E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1179E-04 6.5199E-04 1.2645E-03 1.9963E-03 2.7836E-03 4.3785E-03 5.9298E-03 6.2673E-03 7.4324E-03 1.0179E-02 1.2632E-02 1.7922E-02 2.2339E-02 2.6144E-02 2.9487E-02 3.2511E-02 3.5293E-02 3.7831E-02 4.0180E-02 4.2367E-02 4.4419E-02 4.6337E-02 4.8146E-02 4.9820E-02 5.2844E-02 5.5545E-02 5.8002E-02 6.0243E-02 6.2295E-02 6.4158E-02 6.5914E-02 7.2961E-02 7.8200E-02 8.2277E-02 8.8245E-02 9.2430E-02 9.9100E-02 1.0304E-01 1.0763E-01 1.1025E-01 1.1198E-01 1.1322E-01 1.1487E-01 1.1592E-01 1.1746E-01 1.1830E-01 1.1919E-01 1.1968E-01 1.2000E-01 1.2022E-01 1.2049E-01 1.2068E-01 1.2092E-01 1.2105E-01 1.2119E-01 1.2124E-01 1.2130E-01 1.2132E-01 1.2138E-01 1.2140E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0595E-08 2.6839E-06 9.4455E-06 3.8479E-05 7.6526E-05 1.1730E-04 1.5780E-04 1.9696E-04 2.3433E-04 2.6973E-04 3.0324E-04 3.3456E-04 3.6427E-04 3.9235E-04 4.1881E-04 4.4392E-04 4.9037E-04 5.3249E-04 5.7084E-04 6.0594E-04 6.3834E-04 6.6832E-04 6.9586E-04 8.1008E-04 8.9568E-04 9.6292E-04 1.0634E-03 1.1357E-03 1.2540E-03 1.3272E-03 1.4160E-03 1.4689E-03 1.5049E-03 1.5311E-03 1.5670E-03 1.5910E-03 1.6264E-03 1.6466E-03 1.6685E-03 1.6815E-03 1.6893E-03 1.6947E-03 1.7023E-03 1.7068E-03 1.7131E-03 1.7168E-03 1.7203E-03 1.7228E-03 1.7241E-03 1.7249E-03 1.7257E-03 1.7266E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/K.mat0000644000276300001750000001667613136054446020171 0ustar solebliss00000000000000Potassium 1 19 1.000000 2 7 91 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 3.6074E-03 3.6074E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 3.3470E+00 3.0438E+01 3.9862E+00 3.0790E+00 2.8171E+00 2.3273E+00 2.0655E+00 2.0655E+00 1.9161E+00 1.5988E+00 1.3602E+00 1.0415E+00 8.3620E-01 5.2261E-01 3.4902E-01 1.8730E-01 1.1846E-01 8.2142E-02 6.0301E-02 3.6288E-02 2.4136E-02 1.1290E-02 6.5107E-03 4.2253E-03 2.9588E-03 2.1851E-03 1.6789E-03 1.3300E-03 1.0794E-03 8.9338E-04 7.5149E-04 6.4083E-04 4.8188E-04 4.2372E-04 3.7550E-04 3.0082E-04 2.7155E-04 2.6000E-04 1.7389E-04 1.6079E-04 1.3867E-04 1.2082E-04 1.0620E-04 8.3927E-05 6.7987E-05 6.5091E-05 5.6189E-05 4.0231E-05 3.0220E-05 1.7004E-05 1.0883E-05 7.5580E-06 5.5526E-06 4.2511E-06 3.3593E-06 2.7216E-06 2.2488E-06 1.8899E-06 1.6096E-06 1.3882E-06 1.2093E-06 1.0629E-06 8.3975E-07 6.8018E-07 5.6219E-07 4.7240E-07 4.0247E-07 3.4702E-07 3.0235E-07 1.7004E-07 1.0883E-07 7.5580E-08 4.2511E-08 2.7201E-08 1.2093E-08 6.8018E-09 3.0235E-09 1.7004E-09 1.0883E-09 7.5580E-10 4.2511E-10 2.7201E-10 1.2093E-10 6.8018E-11 3.0235E-11 1.7004E-11 1.0883E-11 7.5580E-12 4.2511E-12 2.7201E-12 1.2093E-12 6.8018E-13 3.0235E-13 1.7004E-13 1.0883E-13 7.5580E-14 4.2511E-14 2.7201E-14 INCOHERENT SCATTERING CROSS SECTION 1.2156E-02 2.2804E-03 5.4864E-03 1.9577E-02 2.7031E-02 4.1618E-02 4.9766E-02 4.9766E-02 5.4633E-02 6.5769E-02 7.5072E-02 8.9319E-02 9.9839E-02 1.1820E-01 1.2974E-01 1.4096E-01 1.4489E-01 1.4583E-01 1.4528E-01 1.4206E-01 1.3771E-01 1.2662E-01 1.1709E-01 1.0919E-01 1.0260E-01 9.7014E-02 9.2215E-02 8.8033E-02 8.4344E-02 8.1059E-02 7.8106E-02 7.5431E-02 7.0749E-02 6.8680E-02 6.6762E-02 6.3323E-02 6.1780E-02 6.1133E-02 5.5264E-02 5.4160E-02 5.2111E-02 5.0243E-02 4.8527E-02 4.5486E-02 4.2881E-02 4.2357E-02 4.0614E-02 3.6810E-02 3.3747E-02 2.8156E-02 2.4305E-02 2.1487E-02 1.9315E-02 1.7574E-02 1.6157E-02 1.4970E-02 1.3962E-02 1.3095E-02 1.2336E-02 1.1671E-02 1.1081E-02 1.0552E-02 9.6435E-03 8.8934E-03 8.2604E-03 7.7182E-03 7.2484E-03 6.8372E-03 6.4737E-03 5.1445E-03 4.2942E-03 3.6997E-03 2.9188E-03 2.4228E-03 1.7251E-03 1.3523E-03 9.5850E-04 7.5072E-04 6.2149E-04 5.3200E-04 4.1556E-04 3.4194E-04 2.3874E-04 1.8483E-04 1.2849E-04 9.9177E-05 8.1094E-05 6.8757E-05 5.2985E-05 4.3250E-05 2.9896E-05 2.2981E-05 1.5849E-05 1.2168E-05 9.9085E-06 8.3759E-06 6.4229E-06 5.2245E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 4.0540E+03 1.5977E+06 2.4503E+04 1.4149E+03 6.5646E+02 2.1748E+02 1.3061E+02 1.1986E+03 9.2354E+02 5.1722E+02 3.1899E+02 1.4575E+02 7.8137E+01 2.4382E+01 1.0454E+01 3.0836E+00 1.2775E+00 6.3982E-01 3.6227E-01 1.4680E-01 7.2638E-02 2.0254E-02 8.2558E-03 4.1681E-03 2.4151E-03 1.5402E-03 1.0542E-03 7.6165E-04 5.7467E-04 4.4895E-04 3.6011E-04 2.9497E-04 2.1027E-04 1.8283E-04 1.6163E-04 1.2831E-04 1.1369E-04 1.0762E-04 7.2869E-05 6.8031E-05 5.9576E-05 5.2661E-05 4.7067E-05 3.8661E-05 3.2669E-05 3.1575E-05 2.8187E-05 2.1964E-05 1.7898E-05 1.2133E-05 9.1229E-06 7.2885E-06 6.0609E-06 5.1814E-06 4.5237E-06 4.0124E-06 3.6042E-06 3.2700E-06 2.9927E-06 2.7586E-06 2.5584E-06 2.3843E-06 2.0994E-06 1.8760E-06 1.6943E-06 1.5449E-06 1.4203E-06 1.3137E-06 1.2220E-06 9.0598E-07 7.1976E-07 5.9700E-07 4.4513E-07 3.5472E-07 2.3535E-07 1.7605E-07 1.1714E-07 8.7748E-08 7.0143E-08 5.8422E-08 4.3789E-08 3.5025E-08 2.3335E-08 1.7497E-08 1.1663E-08 8.7471E-09 6.9958E-09 5.8299E-09 4.3728E-09 3.4979E-09 2.3319E-09 1.7482E-09 1.1658E-09 8.7440E-10 6.9943E-10 5.8283E-10 4.3712E-10 3.4979E-10 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 4.9057E-05 7.8631E-05 1.5765E-04 2.6015E-04 3.8268E-04 6.7530E-04 1.0130E-03 1.0914E-03 1.3751E-03 2.1164E-03 2.8495E-03 4.5853E-03 6.1241E-03 7.4995E-03 8.7225E-03 9.8237E-03 1.0820E-02 1.1724E-02 1.2545E-02 1.3297E-02 1.3995E-02 1.4642E-02 1.5247E-02 1.5818E-02 1.6850E-02 1.7790E-02 1.8622E-02 1.9392E-02 2.0085E-02 2.0732E-02 2.1317E-02 2.3766E-02 2.5599E-02 2.7016E-02 2.9126E-02 3.0651E-02 3.3115E-02 3.4625E-02 3.6412E-02 3.7459E-02 3.8137E-02 3.8645E-02 3.9307E-02 3.9739E-02 4.0370E-02 4.0724E-02 4.1094E-02 4.1294E-02 4.1417E-02 4.1510E-02 4.1633E-02 4.1710E-02 4.1803E-02 4.1864E-02 4.1926E-02 4.1957E-02 4.1972E-02 4.1987E-02 4.2003E-02 4.2003E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.1293E-07 3.3509E-06 1.1808E-05 4.8210E-05 9.6050E-05 1.4749E-04 1.9885E-04 2.4860E-04 2.9635E-04 3.4178E-04 3.8491E-04 4.2557E-04 4.6392E-04 5.0058E-04 5.3524E-04 5.6835E-04 6.2981E-04 6.8588E-04 7.3747E-04 7.8507E-04 8.2912E-04 8.7009E-04 9.0829E-04 1.0682E-03 1.1912E-03 1.2901E-03 1.4412E-03 1.5541E-03 1.7436E-03 1.8652E-03 2.0193E-03 2.1117E-03 2.1779E-03 2.2257E-03 2.2934E-03 2.3381E-03 2.4074E-03 2.4475E-03 2.4906E-03 2.5168E-03 2.5322E-03 2.5430E-03 2.5584E-03 2.5676E-03 2.5815E-03 2.5892E-03 2.5969E-03 2.6015E-03 2.6046E-03 2.6061E-03 2.6077E-03 2.6092E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Fm.mat0000644000276300001750000002371613136054446020332 0ustar solebliss00000000000000Fm 1 100 1.000000 15 4 3 3 3 3 5 3 3 3 3 6 3 3 8 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0020E-03 1.0020E-03 1.0350E-03 1.0690E-03 1.0690E-03 1.2084E-03 1.3660E-03 1.3660E-03 1.5000E-03 1.7470E-03 1.7470E-03 1.8395E-03 1.9370E-03 1.9370E-03 2.0000E-03 3.0000E-03 4.0000E-03 4.4980E-03 4.4980E-03 4.6301E-03 4.7660E-03 4.7660E-03 5.0000E-03 5.3970E-03 5.3970E-03 6.0000E-03 6.7930E-03 6.7930E-03 6.9960E-03 7.2050E-03 7.2050E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 2.0900E-02 2.0900E-02 2.3671E-02 2.6810E-02 2.6810E-02 2.7251E-02 2.7700E-02 2.7700E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.4309E-01 1.4309E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.4972E+01 4.9053E-33 1.9200E+00 1.4970E+01 1.4970E+01 1.4933E+01 1.4895E+01 1.4895E+01 1.4740E+01 1.4551E+01 1.4551E+01 1.4380E+01 1.4068E+01 1.4068E+01 1.3945E+01 1.3813E+01 1.3813E+01 1.3729E+01 1.2391E+01 1.1110E+01 1.0515E+01 1.0515E+01 1.0364E+01 1.0210E+01 1.0210E+01 9.9528E+00 9.5335E+00 9.5335E+00 8.9432E+00 8.2428E+00 8.2428E+00 8.0763E+00 7.9102E+00 7.9102E+00 7.3270E+00 6.1253E+00 4.1882E+00 3.0521E+00 2.8975E+00 2.8975E+00 2.4778E+00 2.1025E+00 2.1025E+00 2.0575E+00 2.0135E+00 2.0135E+00 1.8095E+00 1.2105E+00 8.8120E-01 6.6734E-01 4.1975E-01 2.9139E-01 1.5973E-01 1.5973E-01 1.4722E-01 8.8448E-02 5.9235E-02 4.2608E-02 3.2194E-02 2.5204E-02 2.0268E-02 1.6652E-02 1.3925E-02 1.1817E-02 1.0155E-02 7.7334E-03 6.8351E-03 6.0844E-03 4.9125E-03 4.4505E-03 4.2678E-03 2.8882E-03 2.6759E-03 2.3161E-03 2.0243E-03 1.7842E-03 1.4162E-03 1.1513E-03 1.1030E-03 9.5430E-04 6.8608E-04 5.1673E-04 2.9186E-04 1.8720E-04 1.3017E-04 9.5710E-05 7.3316E-05 5.7950E-05 4.6941E-05 3.8813E-05 3.2606E-05 2.7804E-05 2.3963E-05 2.0882E-05 1.8355E-05 1.4504E-05 1.1749E-05 9.7092E-06 8.1585E-06 6.9522E-06 5.9941E-06 5.2235E-06 2.9373E-06 1.8802E-06 1.3059E-06 7.3457E-07 4.7012E-07 2.0892E-07 1.1752E-07 5.2235E-08 2.9373E-08 1.8802E-08 1.3056E-08 7.3457E-09 4.7012E-09 2.0892E-09 1.1752E-09 5.2235E-10 2.9373E-10 1.8802E-10 1.3056E-10 7.3457E-11 4.7012E-11 2.0892E-11 1.1752E-11 5.2235E-12 2.9373E-12 1.8802E-12 1.3056E-12 7.3457E-13 4.7012E-13 INCOHERENT SCATTERING CROSS SECTION 3.9118E-03 1.4605E+25 1.4605E+25 3.9235E-03 3.9235E-03 4.1051E-03 4.2795E-03 4.2795E-03 4.9984E-03 5.8302E-03 5.8302E-03 6.5446E-03 7.8657E-03 7.8657E-03 8.3608E-03 8.8823E-03 8.8823E-03 9.2196E-03 1.4471E-02 1.9386E-02 2.1693E-02 2.1693E-02 2.2286E-02 2.2890E-02 2.2890E-02 2.3916E-02 2.5602E-02 2.5602E-02 2.8038E-02 3.1107E-02 3.1107E-02 3.1839E-02 3.2582E-02 3.2582E-02 3.5417E-02 4.1905E-02 5.5210E-02 6.4767E-02 6.6196E-02 6.6196E-02 7.0110E-02 7.3855E-02 7.3855E-02 7.4336E-02 7.4816E-02 7.4816E-02 7.7111E-02 8.4536E-02 8.9174E-02 9.2032E-02 9.4445E-02 9.4562E-02 9.1938E-02 9.1938E-02 9.1353E-02 8.6808E-02 8.2296E-02 7.8189E-02 7.4546E-02 7.1302E-02 6.8393E-02 6.5774E-02 6.3406E-02 6.1253E-02 5.9284E-02 5.5791E-02 5.4226E-02 5.2764E-02 5.0133E-02 4.8956E-02 4.8464E-02 4.3920E-02 4.3054E-02 4.1446E-02 3.9984E-02 3.8647E-02 3.6269E-02 3.4199E-02 3.3777E-02 3.2383E-02 2.9379E-02 2.6961E-02 2.2499E-02 1.9437E-02 1.7184E-02 1.5448E-02 1.4061E-02 1.2928E-02 1.1977E-02 1.1173E-02 1.0477E-02 9.8708E-03 9.3391E-03 8.8659E-03 8.4443E-03 7.7181E-03 7.1161E-03 6.6102E-03 6.1768E-03 5.7997E-03 5.4718E-03 5.1813E-03 4.1179E-03 3.4363E-03 2.9608E-03 2.3356E-03 1.9386E-03 1.3806E-03 1.0824E-03 7.6713E-04 6.0082E-04 4.9729E-04 4.2584E-04 3.3262E-04 2.7359E-04 1.9111E-04 1.4790E-04 1.0283E-04 7.9383E-05 6.4907E-05 5.5046E-05 4.2397E-05 3.4620E-05 2.3916E-05 1.8395E-05 1.2686E-05 9.7396E-06 7.9313E-06 6.7039E-06 5.1415E-06 4.1811E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 7.1185E+03 3.5818E+05 2.3157E+04 7.0951E+03 7.4019E+03 7.2479E+03 7.0974E+03 7.3059E+03 5.9557E+03 4.8557E+03 5.1673E+03 4.3053E+03 3.1552E+03 3.1927E+03 2.8644E+03 2.5696E+03 2.6164E+03 2.4431E+03 1.0023E+03 5.1743E+02 3.9282E+02 8.5520E+02 8.1269E+02 7.7252E+02 1.0620E+03 9.6693E+02 7.9945E+02 9.3367E+02 7.1606E+02 5.2001E+02 5.5116E+02 5.1186E+02 4.7550E+02 4.9518E+02 3.8204E+02 2.1939E+02 7.8868E+01 3.7736E+01 3.3683E+01 7.8001E+01 5.5790E+01 3.9891E+01 5.7599E+01 5.5195E+01 5.2891E+01 6.0925E+01 4.9846E+01 2.4080E+01 1.3527E+01 8.4044E+00 3.9399E+00 2.1810E+00 8.4255E-01 3.2489E+00 2.9045E+00 1.4169E+00 8.1138E-01 5.1907E-01 3.5796E-01 2.6094E-01 1.9853E-01 1.5619E-01 1.2622E-01 1.0424E-01 8.7643E-02 6.4693E-02 5.6568E-02 4.9946E-02 3.9884E-02 3.6002E-02 3.4480E-02 2.3354E-02 2.1677E-02 1.8856E-02 1.6596E-02 1.4764E-02 1.1995E-02 1.0016E-02 9.6553E-03 8.5411E-03 6.5126E-03 5.2048E-03 3.3894E-03 2.4736E-03 1.9315E-03 1.5774E-03 1.3293E-03 1.1466E-03 1.0070E-03 8.9690E-04 8.0812E-04 7.3504E-04 6.7367E-04 6.2190E-04 5.7716E-04 5.0455E-04 4.4786E-04 4.0265E-04 3.6565E-04 3.3473E-04 3.0873E-04 2.8647E-04 2.1023E-04 1.6600E-04 1.3712E-04 1.0171E-04 8.0812E-05 5.3383E-05 3.9867E-05 2.6445E-05 1.9795E-05 1.5813E-05 1.3167E-05 9.8638E-06 7.8844E-06 5.2516E-06 3.9375E-06 2.6235E-06 1.9671E-06 1.5736E-06 1.3113E-06 9.8333E-07 7.8657E-07 5.2422E-07 3.9329E-07 2.6211E-07 1.9660E-07 1.5727E-07 1.3106E-07 9.8286E-08 7.8634E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.0431E-04 8.1226E-04 1.6128E-03 2.5743E-03 3.5918E-03 5.5659E-03 7.3949E-03 7.7884E-03 9.1311E-03 1.2201E-02 1.4848E-02 2.0395E-02 2.5017E-02 2.8835E-02 3.2372E-02 3.5581E-02 3.8532E-02 4.1249E-02 4.3802E-02 4.6168E-02 4.8370E-02 5.0455E-02 5.2399E-02 5.4226E-02 5.7552E-02 6.0504E-02 6.3221E-02 6.5680E-02 6.7952E-02 7.0037E-02 7.1934E-02 7.9735E-02 8.5544E-02 9.0064E-02 9.6693E-02 1.0138E-01 1.0869E-01 1.1304E-01 1.1813E-01 1.2103E-01 1.2293E-01 1.2429E-01 1.2609E-01 1.2726E-01 1.2892E-01 1.2986E-01 1.3080E-01 1.3141E-01 1.3176E-01 1.3199E-01 1.3230E-01 1.3248E-01 1.3274E-01 1.3291E-01 1.3302E-01 1.3314E-01 1.3319E-01 1.3321E-01 1.3323E-01 1.3328E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0337E-08 2.6752E-06 9.4117E-06 3.8321E-05 7.6198E-05 1.1674E-04 1.5699E-04 1.9587E-04 2.3295E-04 2.6797E-04 3.0123E-04 3.3238E-04 3.6166E-04 3.8930E-04 4.1554E-04 4.4037E-04 4.8628E-04 5.2797E-04 5.6568E-04 6.0035E-04 6.3221E-04 6.6172E-04 6.8913E-04 8.0109E-04 8.8518E-04 9.5100E-04 1.0492E-03 1.1197E-03 1.2347E-03 1.3056E-03 1.3914E-03 1.4422E-03 1.4766E-03 1.5019E-03 1.5364E-03 1.5593E-03 1.5933E-03 1.6125E-03 1.6333E-03 1.6460E-03 1.6532E-03 1.6586E-03 1.6657E-03 1.6701E-03 1.6762E-03 1.6797E-03 1.6830E-03 1.6851E-03 1.6865E-03 1.6872E-03 1.6882E-03 1.6889E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/atomsf.lib0000644000276300001750000014444013136054446021244 0ustar solebliss00000000000000H 1 1 0.003038 0.493002 0.322912 0.140191 0.040810 10.510900 26.125700 3.142360 57.799698 0.000000 0.000000 0.000000 0.000000 H-1 1 2 0.002389 0.897661 0.565616 0.415815 0.116973 53.136799 15.187000 186.575989 3.567090 0.000000 0.000000 0.000000 0.000000 He 2 2 0.006400 0.873400 0.630900 0.311200 0.178000 9.103700 3.356800 22.927601 0.982100 0.000000 0.000000 0.000000 0.000000 Li 3 3 0.037700 1.128200 0.750800 0.617500 0.465300 3.954600 1.052400 85.390503 168.261002 0.001000 0.000000 0.000000 0.000000 Li+1 3 3 0.016700 0.696800 0.788800 0.341400 0.156300 4.623700 1.955700 0.631600 10.095300 0.001000 0.000000 0.000000 0.000000 Be 4 4 0.038500 1.591900 1.127800 0.539100 0.702900 43.642700 1.862300 103.483002 0.542000 0.003000 0.001000 0.000000 0.000000 Be+2 4 2 -6.109200 6.260300 0.884900 0.799300 0.164700 0.002700 0.831300 2.275800 5.114600 0.003000 0.001000 0.000000 0.000000 B 5 5 -0.193200 2.054500 1.332600 1.097900 0.706800 23.218500 1.021000 60.349800 0.140300 0.008000 0.004000 0.000000 0.001000 C 6 6 0.215600 2.310000 1.020000 1.588600 0.865000 20.843899 10.207500 0.568700 51.651199 0.017000 0.009000 0.002000 0.002000 Cv 6 6 0.286977 2.260690 1.561650 1.050750 0.839259 22.690701 0.656665 9.756180 55.594898 0.017000 0.009000 0.002000 0.002000 N 7 7 -11.528999 12.212600 3.132200 2.012500 1.166300 0.005700 9.893300 28.997499 0.582600 0.029000 0.018000 0.004000 0.003000 O 8 8 0.250800 3.048500 2.286800 1.546300 0.867000 13.277100 5.701100 0.323900 32.908897 0.047000 0.032000 0.008000 0.006000 O-1 8 9 21.941200 4.191600 1.639690 1.526730 -20.306999 12.857300 4.172360 47.017899 -0.014040 0.047000 0.032000 0.008000 0.006000 F 9 9 0.277600 3.539200 2.641200 1.517000 1.024300 10.282499 4.294400 0.261500 26.147600 0.069000 0.053000 0.014000 0.010000 F-1 9 10 0.653396 3.632200 3.510570 1.260640 0.940706 5.277560 14.735300 0.442258 47.343700 0.069000 0.053000 0.014000 0.010000 Ne 10 10 0.351500 3.955300 3.112500 1.454600 1.125100 8.404200 3.426200 0.230600 21.718399 0.097000 0.083000 0.021000 0.016000 Na 11 11 0.676000 4.762600 3.173600 1.267400 1.112800 3.285000 8.842199 0.313600 129.423996 0.129000 0.124000 0.030000 0.025000 Na+1 11 10 0.404000 3.256500 3.936200 1.399800 1.003200 2.667100 6.115300 0.200100 14.039000 0.129000 0.124000 0.030000 0.025000 Mg 12 12 0.858400 5.420400 2.173500 1.226900 2.307300 2.827500 79.261101 0.380800 7.193700 0.165000 0.177000 0.042000 0.036000 Mg+2 12 10 0.485300 3.498800 3.837800 1.328400 0.849700 2.167600 4.754200 0.185000 10.141100 0.165000 0.177000 0.042000 0.036000 Al 13 13 1.115100 6.420200 1.900200 1.593600 1.964600 3.038700 0.742600 31.547199 85.088600 0.204000 0.246000 0.056000 0.052000 Al+3 13 10 0.706786 4.174480 3.387600 1.202960 0.528137 1.938160 4.145530 0.228753 8.285240 0.204000 0.246000 0.056000 0.052000 Si 14 14 1.140700 6.291500 3.035300 1.989100 1.541000 2.438600 32.333698 0.678500 81.693695 0.244000 0.330000 0.072000 0.071000 Siv 14 14 1.247070 5.662690 3.071640 2.624460 1.393200 2.665200 38.663399 0.916946 93.545799 0.244000 0.330000 0.072000 0.071000 Si+4 14 10 0.746297 4.439180 3.203450 1.194530 0.416530 1.641670 3.437570 0.214900 6.653650 0.244000 0.330000 0.072000 0.071000 P 15 15 1.114900 6.434500 4.179100 1.780000 1.490800 1.906700 27.157000 0.526000 68.164497 0.283000 0.434000 0.090000 0.095000 S 16 16 0.866900 6.905300 5.203400 1.437900 1.586300 1.467900 22.215099 0.253600 56.172001 0.319000 0.557000 0.110000 0.124000 Cl 17 17 -9.557400 11.460400 7.196400 6.255600 1.645500 0.010400 1.166200 18.519400 47.778400 0.348000 0.702000 0.132000 0.159000 Cl-1 17 18 -16.378000 18.291500 7.208400 6.533700 2.338600 0.006600 1.171700 19.542400 60.448601 0.348000 0.702000 0.132000 0.159000 Ar 18 18 1.444500 7.484500 6.772300 0.653900 1.644200 0.907200 14.840700 43.898300 33.392899 0.366000 0.872000 0.155000 0.201000 K 19 19 1.422800 8.218599 7.439800 1.051900 0.865900 12.794900 0.774800 213.186996 41.684097 0.365000 1.066000 0.179000 0.250000 K+1 19 18 -4.997800 7.957800 7.491700 6.359000 1.191500 12.633100 0.767400 -0.002000 31.912800 0.365000 1.066000 0.179000 0.250000 Ca 20 20 1.375100 8.626600 7.387300 1.589900 1.021100 10.442100 0.659900 85.748398 178.436996 0.341000 1.286000 0.203000 0.306000 Ca+2 20 18 -14.875000 15.634800 7.951800 8.437200 0.853700 -0.007400 0.608900 10.311600 25.990499 0.341000 1.286000 0.203000 0.306000 Sc 21 21 1.332900 9.189000 7.367900 1.640900 1.468000 9.021299 0.572900 136.108002 51.353100 0.285000 1.533000 0.226000 0.372000 Sc+3 21 18 -6.666700 14.400800 8.027300 1.659430 1.579360 0.298540 7.962900 -0.286040 16.066200 0.285000 1.533000 0.226000 0.372000 Ti 22 22 1.280700 9.759500 7.355800 1.699100 1.902100 7.850800 0.500000 35.633801 116.104996 0.189000 1.807000 0.248000 0.446000 Ti+2 22 20 0.897155 9.114230 7.621740 2.279300 0.087899 7.524300 0.457585 19.536100 61.655800 0.189000 1.807000 0.248000 0.446000 Ti+3 22 19 -14.652000 17.734400 8.738160 5.256910 1.921340 0.220610 7.047160 -0.157620 15.976800 0.189000 1.807000 0.248000 0.446000 Ti+4 22 18 -13.280000 19.511400 8.234730 2.013410 1.520800 0.178847 6.670180 -0.292630 12.946400 0.189000 1.807000 0.248000 0.446000 V 23 23 1.219900 10.297100 7.351100 2.070300 2.057100 6.865700 0.438500 26.893799 102.477997 0.035000 2.110000 0.267000 0.530000 V+2 23 21 1.229800 10.106000 7.354100 2.288400 0.022300 6.881800 0.440900 20.300400 115.122002 0.035000 2.110000 0.267000 0.530000 V+3 23 19 0.656565 9.431410 7.741900 2.153430 0.016865 6.395350 0.383349 15.190800 63.969002 0.035000 2.110000 0.267000 0.530000 V+5 23 18 1.714300 15.688700 8.142080 2.030810 -9.576000 0.679003 5.401350 9.972780 0.940464 0.035000 2.110000 0.267000 0.530000 Cr 24 24 1.183200 10.640600 7.353700 3.324000 1.492200 6.103800 0.392000 20.262600 98.739899 -0.198000 2.443000 0.284000 0.624000 Cr+2 24 22 0.616898 9.540340 7.750900 3.582740 0.509107 5.660780 0.344261 13.307500 32.422401 -0.198000 2.443000 0.284000 0.624000 Cr+3 24 21 0.518275 9.680900 7.811360 2.876030 0.113575 5.594630 0.334393 12.828800 32.876099 -0.198000 2.443000 0.284000 0.624000 Mn 25 25 1.089600 11.281900 7.357300 3.019300 2.244100 5.340900 0.343200 17.867399 83.754303 -0.568000 2.808000 0.295000 0.729000 Mn+2 25 23 1.087400 10.806100 7.362000 3.526800 0.218400 5.279600 0.343500 14.343000 41.323502 -0.568000 2.808000 0.295000 0.729000 Mn+3 25 22 0.393974 9.845210 7.871940 3.565310 0.323613 4.917970 0.294393 10.817100 24.128099 -0.568000 2.808000 0.295000 0.729000 Mn+4 25 21 0.251877 9.962530 7.970570 2.760670 0.054447 4.848500 0.283303 10.485200 27.573000 -0.568000 2.808000 0.295000 0.729000 Fe 26 26 1.036900 11.769500 7.357300 3.522200 2.304500 4.761100 0.307200 15.353500 76.880501 -1.179000 3.204000 0.301000 0.845000 Fe+2 26 24 1.009700 11.042400 7.374000 4.134600 0.439900 4.653800 0.305300 12.054600 31.280899 -1.179000 3.204000 0.301000 0.845000 Fe+3 26 23 0.970700 11.176400 7.386300 3.394800 0.072400 4.614700 0.300500 11.672900 38.556599 -1.179000 3.204000 0.301000 0.845000 Co 27 27 1.011800 12.284100 7.340900 4.003400 2.348800 4.279100 0.278400 13.535900 71.169197 -2.464000 3.608000 0.299000 0.973000 Co+2 27 25 0.932400 11.229600 7.388300 4.739300 0.710800 4.123100 0.272600 10.244300 25.646599 -2.464000 3.608000 0.299000 0.973000 Co+3 27 24 0.286667 10.337999 7.881730 4.767950 0.725591 3.909690 0.238668 8.355830 18.349100 -2.464000 3.608000 0.299000 0.973000 Ni 28 28 1.034100 12.837600 7.292000 4.443800 2.380000 3.878500 0.256500 12.176300 66.342102 -2.956000 0.509000 0.285000 1.113000 Ni+2 28 26 0.861400 11.416600 7.400500 5.344200 0.977300 3.676600 0.244900 8.873000 22.162600 -2.956000 0.509000 0.285000 1.113000 Ni+3 28 25 0.386044 10.780600 7.758680 5.227460 0.847114 3.547700 0.223140 7.644680 16.967300 -2.956000 0.509000 0.285000 1.113000 Cu 29 29 1.191000 13.337999 7.167600 5.615800 1.673500 3.582800 0.247000 11.396600 64.812599 -2.019000 0.589000 0.263000 1.266000 Cu+1 29 28 0.890000 11.947500 7.357300 6.245500 1.557800 3.366900 0.227400 8.662500 25.848700 -2.019000 0.589000 0.263000 1.266000 Cu+2 29 27 1.144310 11.816800 7.111810 5.781350 1.145230 3.374840 0.244078 7.987600 19.896999 -2.019000 0.589000 0.263000 1.266000 Zn 30 30 1.304100 14.074300 7.031800 5.162500 2.410000 3.265500 0.233300 10.316299 58.709702 -1.612000 0.678000 0.222000 1.431000 Zn+2 30 28 0.780700 11.971900 7.386200 6.466800 1.394000 2.994600 0.203100 7.082600 18.099499 -1.612000 0.678000 0.222000 1.431000 Ga 31 31 1.718900 15.235400 6.700600 4.359100 2.962300 3.066900 0.241200 10.780500 61.413498 -1.354000 0.777000 0.163000 1.609000 Ga+3 31 28 1.535450 12.691999 6.698830 6.066920 1.006600 2.812620 0.227890 6.364410 14.412200 -1.354000 0.777000 0.163000 1.609000 Ge 32 32 2.131300 16.081600 6.374700 3.706800 3.683000 2.850900 0.251600 11.446800 54.762501 -1.163000 0.886000 0.081000 1.801000 Ge+4 32 28 1.455720 12.917200 6.700030 6.067910 0.859041 2.537180 0.205855 5.479130 11.603000 -1.163000 0.886000 0.081000 1.801000 As 33 33 2.531000 16.672300 6.070100 3.431300 4.277900 2.634500 0.264700 12.947900 47.797199 -1.011000 1.006000 -0.030000 2.007000 Se 34 34 2.840900 17.000599 5.819600 3.973100 4.354300 2.409800 0.272600 15.237200 43.816299 -0.879000 1.139000 -0.178000 2.223000 Br 35 35 2.955700 17.178900 5.235800 5.637700 3.985100 2.172300 16.579599 0.260900 41.432800 -0.767000 1.283000 -0.374000 2.456000 Br-1 35 36 3.177600 17.171799 6.333800 5.575400 3.727200 2.205900 19.334499 0.287100 58.153500 -0.767000 1.283000 -0.374000 2.456000 Kr 36 36 2.825000 17.355499 6.728600 5.549300 3.537500 1.938400 16.562300 0.226100 39.397202 -0.665000 1.439000 -0.652000 2.713000 Rb 37 37 3.487300 17.178400 9.643499 5.139900 1.529200 1.788800 17.315100 0.274800 164.933990 -0.574000 1.608000 -1.044000 2.973000 Rb+1 37 36 2.078200 17.581600 7.659800 5.898100 2.781700 1.713900 14.795700 0.160300 31.208700 -0.574000 1.608000 -1.044000 2.973000 Sr 38 38 2.506400 17.566299 9.818399 5.422000 2.669400 1.556400 14.098800 0.166400 132.376007 -0.465000 1.820000 -1.657000 3.264000 Sr+2 38 36 41.402500 18.087400 8.137300 2.565400 -34.193001 1.490700 12.696300 24.565100 -0.013800 -0.465000 1.820000 -1.657000 3.264000 Y 39 39 1.912130 17.775999 10.294600 5.726290 3.265880 1.402900 12.800600 0.125599 104.353996 -0.386000 2.025000 -2.951000 3.542000 Y+3 39 36 40.260201 17.926800 9.153100 1.767950 -33.108002 1.354170 11.214500 22.659901 -0.013190 -0.386000 2.025000 -2.951000 3.542000 Zr 40 40 2.069290 17.876499 10.948000 5.417320 3.657210 1.276180 11.916000 0.117622 87.662697 -0.314000 2.245000 -2.965000 0.560000 Zr+4 40 36 9.414539 18.166800 10.056200 1.011180 -2.647900 1.214800 10.148300 21.605400 -0.102760 -0.314000 2.245000 -2.965000 0.560000 Nb 41 41 3.755910 17.614201 12.014400 4.041830 3.533460 1.188650 11.766000 0.204785 69.795700 -0.248000 2.482000 -2.197000 0.621000 Nb+3 41 38 -12.912000 19.881199 18.065300 11.017700 1.947150 0.019175 1.133050 10.162100 28.338900 -0.248000 2.482000 -2.197000 0.621000 Nb+5 41 36 -6.393400 17.916300 13.341700 10.799000 0.337905 1.124460 0.028781 9.282060 25.722799 -0.248000 2.482000 -2.197000 0.621000 Mo 42 42 4.387500 3.702500 17.235600 12.887600 3.742900 0.277200 1.095800 11.004000 61.658401 -0.191000 2.735000 -1.825000 0.688000 Mo+3 42 39 -14.421000 21.166401 18.201700 11.742300 2.309510 0.014734 1.030310 9.536590 26.630699 -0.191000 2.735000 -1.825000 0.688000 Mo+5 42 37 -14.316000 21.014900 18.099199 11.463200 0.740625 0.014345 1.022380 8.788090 23.345200 -0.191000 2.735000 -1.825000 0.688000 Mo+6 42 36 0.344941 17.887100 11.175000 6.578910 0.000000 1.036490 8.480610 0.058881 0.000000 -0.191000 2.735000 -1.825000 0.688000 Tc 43 43 5.404280 19.130100 11.094800 4.649010 2.712630 0.864132 8.144870 21.570700 86.847198 -0.145000 3.005000 -0.590000 0.759000 Ru 44 44 5.378740 19.267399 12.918200 4.863370 1.567560 0.808520 8.434669 24.799700 94.292801 -0.105000 3.296000 -1.420000 0.836000 Ru+3 44 41 -3.189200 18.563801 13.288500 9.326019 3.009640 0.847329 8.371640 0.017662 22.886999 -0.105000 3.296000 -1.420000 0.836000 Ru+4 44 40 1.423570 18.500299 13.178699 4.713040 2.185350 0.844582 8.125340 0.364950 20.850399 -0.105000 3.296000 -1.420000 0.836000 Rh 45 45 5.328000 19.295700 14.350100 4.734250 1.289180 0.751536 8.217580 25.874901 98.606201 -0.077000 3.605000 -1.287000 0.919000 Rh+3 45 42 11.867800 18.878500 14.125900 3.325150 -6.198900 0.764252 7.844380 21.248699 -0.010360 -0.077000 3.605000 -1.287000 0.919000 Rh+4 45 41 11.283500 18.854500 13.980600 2.534640 -5.652600 0.760825 7.624360 19.331699 -0.010200 -0.077000 3.605000 -1.287000 0.919000 Pd 46 46 5.265930 19.331900 15.501699 5.295370 0.605844 0.698655 7.989290 25.205200 76.898598 -0.059000 3.934000 -1.177000 1.007000 Pd+2 46 44 5.291600 19.170099 15.209600 4.322340 0.000000 0.696219 7.555730 22.505699 0.000000 -0.059000 3.934000 -1.177000 1.007000 Pd+4 46 42 13.017400 19.249300 14.790000 2.892890 -7.949200 0.683839 7.148330 17.914400 0.005127 -0.059000 3.934000 -1.177000 1.007000 Ag 47 47 5.179000 19.280800 16.688499 4.804500 1.046300 0.644600 7.472600 24.660500 99.815598 -0.060000 4.282000 -1.085000 1.101000 Ag+1 47 46 5.215720 19.181200 15.971900 5.274750 0.357534 0.646179 7.191230 21.732599 66.114700 -0.060000 4.282000 -1.085000 1.101000 Ag+2 47 45 5.214040 19.164299 16.245600 4.370900 0.000000 0.645643 7.185440 21.407200 0.000000 -0.060000 4.282000 -1.085000 1.101000 Cd 48 48 5.069400 19.221399 17.644400 4.461000 1.602900 0.594600 6.908900 24.700800 87.482498 -0.079000 4.653000 -1.005000 1.202000 Cd+2 48 46 5.119370 19.151400 17.253500 4.471280 0.000000 0.597922 6.806390 20.252100 0.000000 -0.079000 4.653000 -1.005000 1.202000 In 49 49 4.939100 19.162399 18.559601 4.294800 2.039600 0.547600 6.377600 25.849899 92.802902 -0.126000 5.045000 -0.936000 1.310000 In+3 49 46 4.996350 19.104500 18.110800 3.788970 0.000000 0.551522 6.324700 17.359501 0.000000 -0.126000 5.045000 -0.936000 1.310000 Sn 50 50 4.782100 19.188900 19.100500 4.458500 2.466300 5.830300 0.503100 26.890900 83.957100 -0.194000 5.459000 -0.873000 1.424000 Sn+2 50 48 4.786100 19.109400 19.054800 4.564800 0.487000 0.503600 5.837800 23.375200 62.206100 -0.194000 5.459000 -0.873000 1.424000 Sn+4 50 46 3.918200 18.933300 19.713100 3.418200 0.019300 5.764000 0.465500 14.004900 -0.758300 -0.194000 5.459000 -0.873000 1.424000 Sb 51 51 4.590900 19.641800 19.045500 5.037100 2.682700 5.303400 0.460700 27.907400 75.282501 -0.287000 5.894000 -0.816000 1.546000 Sb+3 51 48 4.696260 18.975500 18.932999 5.107890 0.288753 0.467196 5.221260 19.590200 55.511299 -0.287000 5.894000 -0.816000 1.546000 Sb+5 51 46 4.692630 19.868500 19.030199 2.412530 0.000000 5.448530 0.467973 14.125900 0.000000 -0.287000 5.894000 -0.816000 1.546000 Te 52 52 4.352000 19.964399 19.013800 6.144870 2.523900 4.817420 0.420885 28.528400 70.840302 -0.418000 6.352000 -0.772000 1.675000 I 53 53 4.071200 20.147200 18.994900 7.513800 2.273500 4.347000 0.381400 27.765999 66.877602 -0.579000 6.835000 -0.726000 1.812000 I-1 53 54 4.071400 20.233200 18.997000 7.806900 2.886800 4.357900 0.381500 29.525900 84.930397 -0.579000 6.835000 -0.726000 1.812000 Xe 54 54 3.711800 20.293301 19.029800 8.976700 1.990000 3.928200 0.344000 26.465900 64.265800 -0.783000 7.348000 -0.684000 1.958000 Cs 55 55 3.335200 20.389200 19.106199 10.662000 1.495300 3.569000 0.310700 24.387899 213.903992 -1.022000 7.904000 -0.644000 2.119000 Cs+1 55 54 3.279100 20.352400 19.127800 10.282100 0.961500 3.552000 0.308600 23.712799 59.456497 -1.022000 7.904000 -0.644000 2.119000 Ba 56 56 2.773100 20.336100 19.297001 10.888000 2.695900 3.216000 0.275600 20.207300 167.201996 -1.334000 8.460000 -0.613000 2.282000 Ba+2 56 54 3.029020 20.180700 19.113600 10.905399 0.776340 3.213670 0.283310 20.055799 51.745998 -1.334000 8.460000 -0.613000 2.282000 La 57 57 2.146780 20.577999 19.598999 11.372700 3.287190 2.948170 0.244475 18.772600 133.123993 -1.716000 9.035999 -0.588000 2.452000 La+3 57 54 2.408600 20.248899 19.376301 11.632299 0.336048 2.920700 0.250698 17.821100 54.945297 -1.716000 9.035999 -0.588000 2.452000 Ce 58 58 1.862640 21.167099 19.769501 11.851299 3.330490 2.812190 0.226836 17.608299 127.112999 -2.170000 9.648000 -0.564000 2.632000 Ce+3 58 55 2.090130 20.803600 19.559000 11.936900 0.612376 2.776910 0.231540 16.540800 43.169201 -2.170000 9.648000 -0.564000 2.632000 Ce+4 58 54 1.591800 20.323500 19.818600 12.123300 0.144583 2.659410 0.218850 15.799200 62.235500 -2.170000 9.648000 -0.564000 2.632000 Pr 59 59 2.058300 22.043999 19.669701 12.385600 2.824280 2.773930 0.222087 16.766899 143.643997 -2.939000 10.535000 -0.530000 2.845000 Pr+3 59 56 1.771320 21.372700 19.749100 12.132900 0.975180 2.645200 0.214299 15.323000 36.406502 -2.939000 10.535000 -0.530000 2.845000 Pr+4 59 55 1.242850 20.941299 20.053900 12.466800 0.296689 2.544670 0.202481 14.813700 45.464298 -2.939000 10.535000 -0.530000 2.845000 Nd 60 60 1.984860 22.684500 19.684700 12.774000 2.851370 2.662480 0.210628 15.885000 137.903000 -3.431000 10.933000 -0.535000 3.018000 Nd+3 60 57 1.475880 21.961000 19.933899 12.120000 1.510310 2.527220 0.199237 14.178300 30.871700 -3.431000 10.933000 -0.535000 3.018000 Pm 61 61 2.028760 23.340500 19.609501 13.123500 2.875160 2.562700 0.202088 15.100900 132.720993 -4.357000 11.614000 -0.530000 3.225000 Pm+3 61 58 1.194990 22.552700 20.110800 12.067100 2.074920 2.417400 0.185769 13.127500 27.449100 -4.357000 11.614000 -0.530000 3.225000 Sm 62 62 2.209630 24.004200 19.425800 13.439600 2.896040 2.472740 0.196451 14.399600 128.007004 -5.696000 12.320000 -0.533000 3.442000 Sm+3 62 58 0.954586 23.150400 20.259899 11.920200 2.714880 2.316410 0.174081 12.157100 24.824200 -5.696000 12.320000 -0.533000 3.442000 Eu 63 63 2.574500 24.627399 19.088600 13.760300 2.922700 2.387900 0.194200 13.754600 123.173996 -7.718000 11.276000 -0.542000 3.669000 Eu+2 63 61 1.363890 24.006300 19.950399 11.803400 3.872430 2.277830 0.173530 11.609600 26.515600 -7.718000 11.276000 -0.542000 3.669000 Eu+3 63 60 0.759344 23.749699 20.374500 11.850900 3.265030 2.222580 0.163940 11.311000 22.996599 -7.718000 11.276000 -0.542000 3.669000 Gd 64 64 2.419600 25.070900 19.079800 13.851800 3.545450 2.253410 0.181951 12.933100 101.397995 -9.242000 11.946000 -0.564000 3.904000 Gd+3 64 61 0.645089 24.346600 20.420799 11.870800 3.714900 2.135530 0.155525 10.578199 21.702900 -9.242000 11.946000 -0.564000 3.904000 Tb 65 65 3.582240 25.897600 18.218500 14.316700 2.953540 2.242560 0.196143 12.664800 115.362000 -9.498000 9.242000 -0.591000 4.151000 Tb+3 65 62 0.691967 24.955900 20.327099 12.247100 3.773000 2.056010 0.149525 10.049900 21.277300 -9.498000 9.242000 -0.591000 4.151000 Dy 66 66 4.297280 26.507000 17.638300 14.559600 2.965770 2.180200 0.202172 12.189899 111.874001 -10.423000 9.748000 -0.619000 4.410000 Dy+3 66 63 0.689690 25.539499 20.286100 11.981200 4.500730 1.980400 0.143384 9.349720 19.580999 -10.423000 9.748000 -0.619000 4.410000 Ho 67 67 4.567960 26.904900 17.293999 14.558300 3.638370 2.070510 0.197940 11.440700 92.656601 -12.255000 3.704000 -0.666000 4.678000 Ho+3 67 64 0.852795 26.129601 20.099400 11.978800 4.936760 1.910720 0.139358 8.800180 18.590799 -12.255000 3.704000 -0.666000 4.678000 Er 68 68 5.920460 27.656300 16.428499 14.977900 2.982330 2.073560 0.223545 11.360400 105.703003 -9.733000 3.937000 -0.723000 4.958000 Er+3 68 65 1.176130 26.722000 19.774799 12.150600 5.173790 1.846590 0.137290 8.362249 17.897400 -9.733000 3.937000 -0.723000 4.958000 Tm 69 69 6.756210 28.181900 15.885099 15.154200 2.987060 2.028590 0.238849 10.997499 102.960999 -8.488000 4.181000 -0.795000 5.248000 Tm+3 69 66 1.639290 27.308300 19.332001 12.333900 5.383480 1.787110 0.136974 7.967780 17.292200 -8.488000 4.181000 -0.795000 5.248000 Yb 70 70 7.566720 28.664101 15.434500 15.308700 2.989630 1.988900 0.257119 10.664700 100.417000 -7.701000 4.432000 -0.884000 5.548000 Yb+2 70 68 3.709830 28.120899 17.681700 13.333500 5.146570 1.785030 0.159970 8.183040 20.389999 -7.701000 4.432000 -0.884000 5.548000 Yb+3 70 67 2.260010 27.891701 18.761400 12.607200 5.476470 1.732720 0.138790 7.644120 16.814301 -7.701000 4.432000 -0.884000 5.548000 Lu 71 71 7.976280 28.947599 15.220800 15.100000 3.716010 1.901820 9.985189 0.261033 84.329803 -7.133000 4.693000 -0.988000 5.858000 Lu+3 71 68 2.975730 28.462799 18.121000 12.842899 5.594150 1.682160 0.142292 7.337270 16.353500 -7.133000 4.693000 -0.988000 5.858000 Hf 72 72 8.581540 29.143999 15.172600 14.758600 4.300130 1.832620 9.599899 0.275116 72.028999 -6.715000 4.977000 -1.118000 6.185000 Hf+4 72 68 2.396990 28.813099 18.460100 12.728500 5.599270 1.591360 0.128903 6.762320 14.036600 -6.715000 4.977000 -1.118000 6.185000 Ta 73 73 9.243540 29.202400 15.229300 14.513500 4.764920 1.773330 9.370460 0.295977 63.364399 -6.351000 5.271000 -1.258000 6.523000 Ta+5 73 68 1.785550 29.158699 18.840700 12.826799 5.386950 1.507110 0.116741 6.315240 12.424400 -6.351000 5.271000 -1.258000 6.523000 W 74 74 9.887500 29.081800 15.430000 14.432700 5.119820 1.720290 9.225900 0.321703 57.056000 -6.048000 5.577000 -1.421000 6.872000 W+6 74 68 1.010740 29.493599 19.376301 13.054399 5.064120 1.427550 0.104621 5.936670 11.197200 -6.048000 5.577000 -1.421000 6.872000 Re 75 75 10.472000 28.762100 15.718900 14.556400 5.441740 1.671910 9.092270 0.350500 52.086098 -5.790000 5.891000 -1.598000 7.232000 Os 76 76 11.000500 28.189400 16.154999 14.930500 5.675890 1.629030 8.979480 0.382661 48.164700 -5.581000 6.221000 -1.816000 7.605000 Os+4 76 72 6.498040 30.418999 15.263700 14.745800 5.067950 1.371130 6.847060 0.165191 18.003000 -5.581000 6.221000 -1.816000 7.605000 Ir 77 77 11.472200 27.304899 16.729599 15.611500 5.833770 1.592790 8.865530 0.417916 45.001099 -5.391000 6.566000 -2.066000 7.990000 Ir+3 77 74 8.279030 30.415600 15.862000 13.614500 5.820080 1.343230 7.109090 0.204633 20.325399 -5.391000 6.566000 -2.066000 7.990000 Ir+4 77 73 6.968240 30.705799 15.551200 14.232600 5.536720 1.309230 6.719830 0.167252 17.491100 -5.391000 6.566000 -2.066000 7.990000 Pt 78 78 11.688300 27.005899 17.763901 15.713100 5.783700 1.512930 8.811740 0.424593 38.610298 -5.233000 6.925000 -2.352000 8.388000 Pt+2 78 76 9.853290 29.842899 16.722401 13.215300 6.352340 1.329270 7.389790 0.263297 22.942600 -5.233000 6.925000 -2.352000 8.388000 Pt+4 78 74 7.395340 30.961201 15.982900 13.734800 5.920340 1.248130 6.608340 0.168640 16.939199 -5.233000 6.925000 -2.352000 8.388000 Au 79 79 12.065800 16.881901 18.591299 25.558201 5.860000 0.461100 8.621600 1.482600 36.395599 -5.096000 7.297000 -2.688000 8.798000 Au+1 79 78 11.229900 28.010899 17.820400 14.335899 6.580770 1.353210 7.739500 0.356752 26.404301 -5.096000 7.297000 -2.688000 8.798000 Au+3 79 76 9.096800 30.688599 16.902901 12.780100 6.523540 1.219900 6.828720 0.212867 18.659000 -5.096000 7.297000 -2.688000 8.798000 Hg 80 80 12.608900 20.680901 19.041700 21.657499 5.967600 0.545000 8.448400 1.572900 38.324600 -4.990000 7.686000 -3.084000 9.223000 Hg+1 80 79 12.020500 25.085300 18.497299 16.888300 6.482160 1.395070 7.651050 0.443378 28.226200 -4.990000 7.686000 -3.084000 9.223000 Hg+2 80 78 10.626800 29.564100 18.059999 12.837400 6.899120 1.211520 7.056390 0.284738 20.748199 -4.990000 7.686000 -3.084000 9.223000 Tl 81 81 13.174600 27.544600 19.158400 15.538000 5.525930 0.655150 8.707510 1.963470 45.814899 -4.883000 8.089000 -3.556000 9.659000 Tl+1 81 80 12.525800 21.398500 20.472300 18.747799 6.828470 1.471100 0.517394 7.434630 28.848200 -4.883000 8.089000 -3.556000 9.659000 Tl+3 81 78 9.802700 30.869499 18.384100 11.932800 7.005740 1.100800 6.538520 0.219074 17.211399 -4.883000 8.089000 -3.556000 9.659000 Pb 82 82 13.411800 31.061699 13.063700 18.441999 5.969600 0.690200 2.357600 8.618000 47.257900 -4.818000 8.505000 -4.133000 10.102000 Pb+2 82 80 12.473400 21.788601 19.568199 19.140600 7.011070 1.336600 0.488383 6.772700 23.813200 -4.818000 8.505000 -4.133000 10.102000 Pb+4 82 78 8.084280 32.124397 18.800301 12.017500 6.968860 1.005660 6.109260 0.147041 14.714000 -4.818000 8.505000 -4.133000 10.102000 Bi 83 83 13.578199 33.368900 12.951000 16.587700 6.469200 0.704000 2.923800 8.793700 48.009300 -4.776000 8.930000 -4.861000 10.559000 Bi+3 83 80 12.471100 21.805300 19.502600 19.105301 7.102950 1.235600 6.241490 0.469999 20.318501 -4.776000 8.930000 -4.861000 10.559000 Bi+5 83 78 -6.799400 33.536400 25.094601 19.249699 6.915550 0.916540 0.390420 5.714140 12.828500 -4.776000 8.930000 -4.861000 10.559000 Po 84 84 13.677000 34.672600 15.473300 13.113800 7.025880 0.700999 3.550780 9.556419 47.004501 -4.756000 9.382999 -5.924000 11.042000 At 85 85 13.710800 35.316299 19.021099 9.498870 7.425180 0.685870 3.974580 11.382400 45.471500 -4.772000 9.843000 -7.444000 9.961000 Rn 86 86 13.690500 35.563099 21.281601 8.003700 7.443300 0.663100 4.069100 14.042200 44.247299 -4.787000 10.316999 -8.862000 10.403000 Fr 87 87 13.724700 35.929901 23.054699 12.143900 2.112530 0.646453 4.176190 23.105200 150.644989 -4.833000 10.802999 -7.912000 7.754000 Ra 88 88 13.621099 35.763000 22.906399 12.473900 3.210970 0.616341 3.871350 19.988701 142.324997 -4.898000 11.296000 -7.620000 8.105000 Ra+2 88 86 13.543100 35.215000 21.670000 7.913420 7.650780 0.604909 3.576700 12.601000 29.843599 -4.898000 11.296000 -7.620000 8.105000 Ac 89 89 13.526600 35.659698 23.103199 12.597700 4.086550 0.589092 3.651550 18.598999 117.019997 -4.994000 11.799000 -7.725000 8.472000 Ac+3 89 86 13.463699 35.173599 22.111200 8.192160 7.055450 0.579689 3.414370 12.918700 25.944300 -4.994000 11.799000 -7.725000 8.472000 Th 90 90 13.431400 35.564499 23.421900 12.747300 4.807030 0.563359 3.462040 17.830900 99.172195 -5.091000 12.330000 -8.127000 8.870000 Th+4 90 86 13.375999 35.100700 22.441799 9.785540 5.294440 0.555054 3.244980 13.466100 23.953300 -5.091000 12.330000 -8.127000 8.870000 Pa 91 91 13.428699 35.884701 23.294800 14.189100 4.172870 0.547751 3.415190 16.923500 105.250999 -5.216000 12.868000 -8.960000 9.284000 U 92 92 13.396600 36.022800 23.412800 14.949100 4.188000 0.529300 3.325300 16.092699 100.612999 -5.359000 13.409000 -10.673000 9.653999 U+3 92 89 13.309200 35.574699 22.525900 12.216499 5.370730 0.520480 3.122930 12.714800 26.339399 -5.359000 13.409000 -10.673000 9.653999 U+4 92 88 13.267099 35.371498 22.532600 12.029100 4.798400 0.516598 3.050530 12.572300 23.458200 -5.359000 13.409000 -10.673000 9.653999 U+6 92 86 13.166500 34.850899 22.758400 14.009900 1.214570 0.507079 2.890300 13.176700 25.201700 -5.359000 13.409000 -10.673000 9.653999 Np 93 93 13.357300 36.187401 23.596399 15.640200 4.185500 0.511929 3.253960 15.362200 97.490799 -5.529000 13.967000 -11.158000 4.148000 Np+3 93 90 13.254400 35.707397 22.612999 12.989799 5.432270 0.502322 3.038070 12.144899 25.492800 -5.529000 13.967000 -11.158000 4.148000 Np+4 93 89 13.211599 35.510300 22.578699 12.776600 4.921590 0.498626 2.966270 11.948400 22.750200 -5.529000 13.967000 -11.158000 4.148000 Np+6 93 87 13.113000 35.013599 22.728600 14.388400 1.756690 0.489810 2.810990 12.330000 22.658100 -5.529000 13.967000 -11.158000 4.148000 Pu 94 94 13.381200 36.525398 23.808300 16.770700 3.479470 0.499384 3.263710 14.945499 105.979996 -5.712000 14.535999 -9.725000 4.330000 Pu+3 94 91 13.199100 35.840000 22.716900 13.580700 5.660160 0.484936 2.961180 11.533100 24.399200 -5.712000 14.535999 -9.725000 4.330000 Pu+4 94 90 13.155500 35.649300 22.646000 13.359500 5.188310 0.481422 2.890200 11.316000 21.830099 -5.712000 14.535999 -9.725000 4.330000 Pu+6 94 88 13.058200 35.173599 22.718100 14.763500 2.286780 0.473204 2.738480 11.552999 20.930300 -5.712000 14.535999 -9.725000 4.330000 Am 95 95 13.359200 36.670601 24.099199 17.341499 3.493310 0.483629 3.206470 14.313600 102.272995 -5.930000 15.087000 -8.926000 4.511000 Cm 96 96 13.288700 36.648800 24.409599 17.399000 4.216650 0.465154 3.089970 13.434600 88.483398 -6.176000 15.634000 -8.416000 4.697000 Bk 97 97 13.275400 36.788101 24.773600 17.891899 4.232840 0.451018 3.046190 12.894600 86.002998 -6.498000 16.316999 -7.990000 4.908000 Cf 98 98 13.267400 36.918499 25.199499 18.331699 4.243910 0.437533 3.007750 12.404400 83.788101 -6.798000 16.930000 -7.683000 5.107000 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Pm.mat0000644000276300001750000002205213136054446020334 0ustar solebliss00000000000000Pm 1 61 1.000000 10 4 3 3 3 3 7 3 3 8 82 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0269E-03 1.0269E-03 1.0391E-03 1.0515E-03 1.0515E-03 1.1945E-03 1.3569E-03 1.3569E-03 1.4130E-03 1.4714E-03 1.4714E-03 1.5000E-03 1.6530E-03 1.6530E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 6.4593E-03 6.4593E-03 6.7304E-03 7.0128E-03 7.0128E-03 7.2174E-03 7.4279E-03 7.4279E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 4.5184E-02 4.5184E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 9.6911E+00 2.5976E+24 4.4791E+01 9.6662E+00 9.6662E+00 9.6539E+00 9.6412E+00 9.6412E+00 9.4961E+00 9.3337E+00 9.3337E+00 9.2769E+00 9.2132E+00 9.2132E+00 9.1799E+00 9.0179E+00 9.0179E+00 8.6605E+00 7.6423E+00 6.7073E+00 5.9011E+00 5.2237E+00 4.9453E+00 4.9453E+00 4.7924E+00 4.6419E+00 4.6419E+00 4.5380E+00 4.4341E+00 4.4341E+00 4.1640E+00 3.3906E+00 2.2083E+00 1.5842E+00 9.2547E-01 6.0216E-01 4.9993E-01 4.9993E-01 4.2762E-01 3.2115E-01 1.9993E-01 1.3589E-01 6.6200E-02 3.9330E-02 2.6039E-02 1.8489E-02 1.3793E-02 1.0680E-02 8.5127E-03 6.9442E-03 5.7728E-03 4.8746E-03 4.1704E-03 3.1515E-03 2.7760E-03 2.4634E-03 1.9784E-03 1.7886E-03 1.7138E-03 1.1507E-03 1.0645E-03 9.1891E-04 8.0122E-04 7.0470E-04 5.5745E-04 4.5214E-04 4.3302E-04 3.7411E-04 2.6803E-04 2.0134E-04 1.1337E-04 7.2559E-05 5.0409E-05 3.7040E-05 2.8363E-05 2.2412E-05 1.8152E-05 1.5002E-05 1.2608E-05 1.0742E-05 9.2631E-06 8.0704E-06 7.0938E-06 5.6019E-06 4.5380E-06 3.7514E-06 3.1521E-06 2.6858E-06 2.3160E-06 2.0172E-06 1.1349E-06 7.2642E-07 5.0450E-07 2.8367E-07 1.8156E-07 8.0704E-08 4.5380E-08 2.0172E-08 1.1345E-08 7.2642E-09 5.0450E-09 2.8367E-09 1.8156E-09 8.0704E-10 4.5380E-10 2.0172E-10 1.1345E-10 7.2642E-11 5.0450E-11 2.8367E-11 1.8156E-11 8.0704E-12 4.5380E-12 2.0172E-12 1.1345E-12 7.2642E-13 5.0450E-13 2.8367E-13 1.8156E-13 INCOHERENT SCATTERING CROSS SECTION 6.2252E-03 1.4470E-18 1.0382E-03 6.4413E-03 6.4413E-03 6.5405E-03 6.6408E-03 6.6408E-03 7.7619E-03 9.0054E-03 9.0054E-03 9.4412E-03 9.8947E-03 9.8947E-03 1.0115E-02 1.1291E-02 1.1291E-02 1.3917E-02 2.1298E-02 2.8117E-02 3.4314E-02 3.9820E-02 4.2139E-02 4.2139E-02 4.3464E-02 4.4798E-02 4.4798E-02 4.5730E-02 4.6668E-02 4.6668E-02 4.9162E-02 5.7016E-02 7.2558E-02 8.3654E-02 9.6952E-02 1.0389E-01 1.0614E-01 1.0614E-01 1.0763E-01 1.0959E-01 1.1050E-01 1.0929E-01 1.0344E-01 9.7160E-02 9.1510E-02 8.6563E-02 8.2241E-02 7.8460E-02 7.5128E-02 7.2143E-02 6.9438E-02 6.6990E-02 6.4775E-02 6.0879E-02 5.9136E-02 5.7503E-02 5.4575E-02 5.3276E-02 5.2736E-02 4.7707E-02 4.6761E-02 4.5016E-02 4.3427E-02 4.1962E-02 3.9347E-02 3.7085E-02 3.6628E-02 3.5113E-02 3.1837E-02 2.9202E-02 2.4369E-02 2.1049E-02 1.8605E-02 1.6723E-02 1.5222E-02 1.3992E-02 1.2966E-02 1.2093E-02 1.1341E-02 1.0684E-02 1.0107E-02 9.5955E-03 9.1384E-03 8.3530E-03 7.7047E-03 7.1561E-03 6.6865E-03 6.2793E-03 5.9219E-03 5.6102E-03 4.4549E-03 3.7198E-03 3.2053E-03 2.5279E-03 2.0982E-03 1.4940E-03 1.1715E-03 8.3031E-04 6.5037E-04 5.3816E-04 4.6087E-04 3.5997E-04 2.9614E-04 2.0683E-04 1.6008E-04 1.1129E-04 8.5898E-05 7.0231E-05 5.9551E-05 4.5879E-05 3.7468E-05 2.5894E-05 1.9906E-05 1.3730E-05 1.0539E-05 8.5815E-06 7.2559E-06 5.5645E-06 4.5256E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.0467E+03 1.4117E+05 7.3192E+03 1.9494E+03 2.5441E+03 3.8444E+03 5.7930E+03 7.1935E+03 6.3917E+03 5.6808E+03 6.5452E+03 5.9766E+03 5.4564E+03 5.7889E+03 5.5437E+03 4.4882E+03 4.6918E+03 3.0395E+03 1.1540E+03 5.6434E+02 3.2007E+02 2.0006E+02 1.6515E+02 4.6294E+02 4.1705E+02 3.7580E+02 5.1281E+02 4.7763E+02 4.4508E+02 5.1406E+02 4.2721E+02 2.4057E+02 8.1826E+01 3.7493E+01 1.2243E+01 5.4731E+00 3.8852E+00 2.2046E+01 1.6814E+01 1.0443E+01 4.7957E+00 2.5944E+00 8.3571E-01 3.7335E-01 2.0103E-01 1.2222E-01 8.0918E-02 5.7058E-02 4.2224E-02 3.2456E-02 2.5722E-02 2.0903E-02 1.7346E-02 1.2552E-02 1.0892E-02 9.5552E-03 7.5648E-03 6.8153E-03 6.5244E-03 4.3967E-03 4.0833E-03 3.5608E-03 3.1425E-03 2.8004E-03 2.2794E-03 1.9079E-03 1.8406E-03 1.6325E-03 1.2529E-03 1.0073E-03 6.6450E-04 4.8996E-04 3.8586E-04 3.1720E-04 2.6875E-04 2.3289E-04 2.0529E-04 1.8343E-04 1.6573E-04 1.5110E-04 1.3880E-04 1.2833E-04 1.1931E-04 1.0460E-04 9.3088E-05 8.3862E-05 7.6257E-05 6.9940E-05 6.4580E-05 5.9967E-05 4.4175E-05 3.4979E-05 2.8940E-05 2.1510E-05 1.7117E-05 1.1328E-05 8.4652E-06 5.6227E-06 4.2097E-06 3.3636E-06 2.8009E-06 2.0986E-06 1.6781E-06 1.1179E-06 8.3820E-07 5.5853E-07 4.1889E-07 3.3499E-07 2.7914E-07 2.0932E-07 1.6747E-07 1.1162E-07 8.3737E-08 5.5811E-08 4.1848E-08 3.3487E-08 2.7906E-08 2.0928E-08 1.6743E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4136E-04 3.7498E-04 7.1066E-04 1.1158E-03 1.5698E-03 2.5687E-03 3.6321E-03 3.8702E-03 4.7137E-03 6.8273E-03 8.8267E-03 1.3298E-02 1.7130E-02 2.0425E-02 2.3343E-02 2.5961E-02 2.8342E-02 3.0528E-02 3.2543E-02 3.4413E-02 3.6159E-02 3.7775E-02 3.9276E-02 4.0668E-02 4.3178E-02 4.5422E-02 4.7500E-02 4.9328E-02 5.1032E-02 5.2570E-02 5.4024E-02 5.9842E-02 6.4164E-02 6.7530E-02 7.2517E-02 7.6049E-02 8.1618E-02 8.4984E-02 8.8849E-02 9.1093E-02 9.2589E-02 9.3628E-02 9.5041E-02 9.5955E-02 9.7243E-02 9.7991E-02 9.8739E-02 9.9155E-02 9.9446E-02 9.9612E-02 9.9861E-02 9.9986E-02 1.0024E-01 1.0032E-01 1.0044E-01 1.0048E-01 1.0053E-01 1.0057E-01 1.0061E-01 1.0061E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.7792E-08 2.8994E-06 1.0211E-05 4.1640E-05 8.2865E-05 1.2708E-04 1.7109E-04 2.1364E-04 2.5433E-04 2.9298E-04 3.2946E-04 3.6387E-04 3.9625E-04 4.2721E-04 4.5630E-04 4.8372E-04 5.3484E-04 5.8138E-04 6.2377E-04 6.6283E-04 6.9899E-04 7.3223E-04 7.6340E-04 8.9140E-04 9.8781E-04 1.0643E-03 1.1794E-03 1.2625E-03 1.4001E-03 1.4861E-03 1.5912E-03 1.6544E-03 1.6976E-03 1.7292E-03 1.7728E-03 1.8019E-03 1.8455E-03 1.8705E-03 1.8979E-03 1.9141E-03 1.9237E-03 1.9307E-03 1.9399E-03 1.9457E-03 1.9540E-03 1.9586E-03 1.9627E-03 1.9661E-03 1.9677E-03 1.9686E-03 1.9698E-03 1.9706E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Zn.mat0000644000276300001750000002005013136054446020343 0ustar solebliss00000000000000Zinc 1 30 1.000000 5 4 3 3 9 87 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0197E-03 1.0197E-03 1.0312E-03 1.0428E-03 1.0428E-03 1.1157E-03 1.1936E-03 1.1936E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 9.6586E-03 9.6586E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 5.2439E+00 7.0986E-20 1.6039E+00 5.2338E+00 5.2338E+00 5.2283E+00 5.2227E+00 5.2227E+00 5.1853E+00 5.1426E+00 5.1426E+00 4.9750E+00 4.6766E+00 4.0844E+00 3.5383E+00 3.0539E+00 2.6349E+00 1.9874E+00 1.6052E+00 1.6052E+00 1.5417E+00 9.3293E-01 6.4126E-01 3.5788E-01 2.2591E-01 1.5592E-01 1.1475E-01 7.0066E-02 4.7273E-02 2.2481E-02 1.3059E-02 8.5206E-03 8.5206E-03 5.9927E-03 3.4214E-03 2.7151E-03 2.2066E-03 1.8286E-03 1.5398E-03 1.3141E-03 9.8914E-04 8.7003E-04 7.7120E-04 6.1809E-04 5.5810E-04 5.3443E-04 3.5779E-04 3.3086E-04 2.8536E-04 2.4866E-04 2.1863E-04 1.7285E-04 1.3999E-04 1.3400E-04 1.1563E-04 8.2819E-05 6.2247E-05 3.5024E-05 2.2416E-05 1.5564E-05 1.1438E-05 8.7574E-06 6.9201E-06 5.6049E-06 4.6324E-06 3.8929E-06 3.3164E-06 2.8596E-06 2.4912E-06 2.1891E-06 1.7305E-06 1.4017E-06 1.1586E-06 9.7345E-07 8.2914E-07 7.1494E-07 6.2284E-07 3.5033E-07 2.2416E-07 1.5573E-07 8.7574E-08 5.6049E-08 2.4912E-08 1.4008E-08 6.2275E-09 3.5033E-09 2.2416E-09 1.5573E-09 8.7574E-10 5.6049E-10 2.4912E-10 1.4008E-10 6.2275E-11 3.5033E-11 2.2416E-11 1.5573E-11 8.7574E-12 5.6049E-12 2.4912E-12 1.4008E-12 6.2275E-13 3.5033E-13 2.2416E-13 1.5573E-13 8.7574E-14 5.6049E-14 INCOHERENT SCATTERING CROSS SECTION 6.5802E-03 2.0245E+24 1.2796E-02 6.7865E-03 6.7865E-03 6.9073E-03 7.0297E-03 7.0297E-03 7.8018E-03 8.6349E-03 8.6349E-03 1.1917E-02 1.7001E-02 2.6376E-02 3.5227E-02 4.3543E-02 5.1224E-02 6.4762E-02 7.4358E-02 7.4358E-02 7.6145E-02 9.6608E-02 1.0913E-01 1.2276E-01 1.2884E-01 1.3114E-01 1.3151E-01 1.2976E-01 1.2654E-01 1.1751E-01 1.0923E-01 1.0220E-01 1.0220E-01 9.6240E-02 8.6671E-02 8.2799E-02 7.9377E-02 7.6321E-02 7.3566E-02 7.1066E-02 6.6686E-02 6.4752E-02 6.2961E-02 5.9734E-02 5.8269E-02 5.7652E-02 5.2135E-02 5.1096E-02 4.9164E-02 4.7402E-02 4.5788E-02 4.2929E-02 4.0467E-02 3.9970E-02 3.8318E-02 3.4732E-02 3.1847E-02 2.6570E-02 2.2950E-02 2.0279E-02 1.8235E-02 1.6596E-02 1.5251E-02 1.4137E-02 1.3179E-02 1.2359E-02 1.1650E-02 1.1015E-02 1.0462E-02 9.9648E-03 9.1046E-03 8.3964E-03 7.7987E-03 7.2875E-03 6.8427E-03 6.4550E-03 6.1124E-03 4.8571E-03 4.0541E-03 3.4932E-03 2.7546E-03 2.2867E-03 1.6283E-03 1.2764E-03 9.0493E-04 7.0877E-04 5.8665E-04 5.0229E-04 3.9233E-04 3.2280E-04 2.2545E-04 1.7443E-04 1.2129E-04 9.3661E-05 7.6559E-05 6.4918E-05 5.0017E-05 4.0835E-05 2.8218E-05 2.1698E-05 1.4966E-05 1.1484E-05 9.3569E-06 7.9073E-06 6.0636E-06 4.9326E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 1.5481E+03 3.4346E+05 7.8700E+03 1.4791E+03 3.5208E+03 4.7830E+03 6.4881E+03 8.2334E+03 7.7875E+03 7.3677E+03 8.3908E+03 4.8194E+03 2.3696E+03 8.2702E+02 3.8303E+02 2.0869E+02 1.2636E+02 5.6685E+01 3.3375E+01 2.5188E+02 2.3144E+02 8.0142E+01 3.6442E+01 1.1586E+01 5.0293E+00 2.6054E+00 1.5141E+00 6.3666E-01 3.2353E-01 9.4122E-02 3.9445E-02 2.0291E-02 2.0291E-02 1.1917E-02 5.2983E-03 3.8522E-03 2.9204E-03 2.2897E-03 1.8428E-03 1.5147E-03 1.0838E-03 9.4122E-04 8.2961E-04 6.5750E-04 5.8554E-04 5.5626E-04 3.7603E-04 3.5047E-04 3.0650E-04 2.7076E-04 2.4172E-04 1.9784E-04 1.6651E-04 1.6080E-04 1.4316E-04 1.1094E-04 9.0005E-05 6.0442E-05 4.5145E-05 3.5899E-05 2.9738E-05 2.5354E-05 2.2075E-05 1.9543E-05 1.7526E-05 1.5877E-05 1.4514E-05 1.3363E-05 1.2387E-05 1.1530E-05 1.0140E-05 9.0484E-06 8.1670E-06 7.4413E-06 6.8344E-06 6.3187E-06 5.8748E-06 4.3469E-06 3.4490E-06 2.8587E-06 2.1293E-06 1.6964E-06 1.1245E-06 8.4120E-07 5.5930E-07 4.1885E-07 3.3477E-07 2.7887E-07 2.0897E-07 1.6715E-07 1.1134E-07 8.3494E-08 5.5644E-08 4.1729E-08 3.3375E-08 2.7813E-08 2.0860E-08 1.6688E-08 1.1125E-08 8.3429E-09 5.5617E-09 4.1710E-09 3.3366E-09 2.7804E-09 2.0860E-09 1.6688E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 8.4535E-05 1.3340E-04 2.6075E-04 4.2235E-04 6.1324E-04 1.0646E-03 1.5785E-03 1.6964E-03 2.1222E-03 3.2357E-03 4.3340E-03 6.8888E-03 9.1405E-03 1.1134E-02 1.2912E-02 1.4514E-02 1.5960E-02 1.7268E-02 1.8456E-02 1.9552E-02 2.0556E-02 2.1495E-02 2.2370E-02 2.3190E-02 2.4700E-02 2.6045E-02 2.7260E-02 2.8356E-02 2.9369E-02 3.0290E-02 3.1147E-02 3.4637E-02 3.7253E-02 3.9288E-02 4.2318E-02 4.4473E-02 4.7917E-02 4.9971E-02 5.2366E-02 5.3738E-02 5.4640E-02 5.5294E-02 5.6151E-02 5.6713E-02 5.7514E-02 5.7956E-02 5.8426E-02 5.8683E-02 5.8840E-02 5.8950E-02 5.9098E-02 5.9190E-02 5.9319E-02 5.9383E-02 5.9457E-02 5.9494E-02 5.9521E-02 5.9540E-02 5.9558E-02 5.9567E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.0658E-07 3.1623E-06 1.1144E-05 4.5495E-05 9.0613E-05 1.3916E-04 1.8741E-04 2.3429E-04 2.7923E-04 3.2187E-04 3.6230E-04 4.0043E-04 4.3644E-04 4.7079E-04 5.0330E-04 5.3425E-04 5.9162E-04 6.4393E-04 6.9191E-04 7.3612E-04 7.7692E-04 8.1495E-04 8.5032E-04 9.9740E-04 1.1107E-03 1.2000E-03 1.3363E-03 1.4358E-03 1.6015E-03 1.7056E-03 1.8345E-03 1.9110E-03 1.9644E-03 2.0031E-03 2.0565E-03 2.0924E-03 2.1458E-03 2.1762E-03 2.2085E-03 2.2278E-03 2.2398E-03 2.2481E-03 2.2591E-03 2.2665E-03 2.2757E-03 2.2821E-03 2.2867E-03 2.2904E-03 2.2923E-03 2.2941E-03 2.2950E-03 2.2959E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ge.mat0000644000276300001750000002005013136054446020307 0ustar solebliss00000000000000Germanium 1 32 1.000000 5 4 3 3 10 86 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.2167E-03 1.2167E-03 1.2322E-03 1.2478E-03 1.2478E-03 1.3284E-03 1.4143E-03 1.4143E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.1103E-02 1.1103E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 5.3387E+00 1.2721E+02 6.2624E+00 5.2093E+00 5.2093E+00 5.1998E+00 5.1903E+00 5.1903E+00 5.1430E+00 5.0916E+00 5.0916E+00 5.0360E+00 4.7125E+00 4.1038E+00 3.5771E+00 3.1226E+00 2.7270E+00 2.0917E+00 1.6355E+00 1.4456E+00 1.4456E+00 9.8779E-01 6.7669E-01 3.8035E-01 2.4110E-01 1.6637E-01 1.2233E-01 7.4677E-02 5.0451E-02 2.4077E-02 1.4000E-02 9.1412E-03 9.1412E-03 6.4327E-03 3.6750E-03 2.9178E-03 2.3720E-03 1.9658E-03 1.6554E-03 1.4132E-03 1.0644E-03 9.3637E-04 8.3004E-04 6.6520E-04 6.0064E-04 5.7518E-04 3.8508E-04 3.5611E-04 3.0717E-04 2.6764E-04 2.3526E-04 1.8592E-04 1.5070E-04 1.4431E-04 1.2464E-04 8.9250E-05 6.7014E-05 3.7704E-05 2.4135E-05 1.6762E-05 1.2316E-05 9.4301E-06 7.4495E-06 6.0346E-06 4.9871E-06 4.1909E-06 3.5705E-06 3.0787E-06 2.6822E-06 2.3571E-06 1.8628E-06 1.5086E-06 1.2466E-06 1.0475E-06 8.9241E-07 7.6975E-07 6.7055E-07 3.7720E-07 2.4135E-07 1.6762E-07 9.4301E-08 6.0346E-08 2.6822E-08 1.5086E-08 6.7047E-09 3.7712E-09 2.4135E-09 1.6762E-09 9.4301E-10 6.0346E-10 2.6822E-10 1.5086E-10 6.7047E-11 3.7712E-11 2.4135E-11 1.6762E-11 9.4301E-12 6.0346E-12 2.6822E-12 1.5086E-12 6.7047E-13 3.7712E-13 2.4135E-13 1.6762E-13 9.4301E-14 6.0346E-14 INCOHERENT SCATTERING CROSS SECTION 6.1855E-03 7.3586E-02 2.4205E-03 8.4265E-03 8.4265E-03 8.5912E-03 8.7583E-03 8.7583E-03 9.6220E-03 1.0541E-02 1.0541E-02 1.1454E-02 1.6654E-02 2.6026E-02 3.4220E-02 4.1676E-02 4.8569E-02 6.0777E-02 7.1153E-02 7.6137E-02 7.6137E-02 9.0485E-02 1.0268E-01 1.1611E-01 1.2233E-01 1.2482E-01 1.2540E-01 1.2391E-01 1.2101E-01 1.1255E-01 1.0475E-01 9.8032E-02 9.8032E-02 9.2310E-02 8.3187E-02 7.9483E-02 7.6204E-02 7.3272E-02 7.0630E-02 6.8234E-02 6.4035E-02 6.2179E-02 6.0457E-02 5.7359E-02 5.5958E-02 5.5369E-02 5.0078E-02 4.9080E-02 4.7223E-02 4.5533E-02 4.3987E-02 4.1245E-02 3.8873E-02 3.8392E-02 3.6799E-02 3.3361E-02 3.0596E-02 2.5520E-02 2.2045E-02 1.9482E-02 1.7517E-02 1.5941E-02 1.4655E-02 1.3577E-02 1.2665E-02 1.1877E-02 1.1188E-02 1.0583E-02 1.0052E-02 9.5711E-03 8.7417E-03 8.0649E-03 7.4910E-03 7.0000E-03 6.5728E-03 6.2005E-03 5.8712E-03 4.6661E-03 3.8948E-03 3.3557E-03 2.6466E-03 2.1962E-03 1.5642E-03 1.2267E-03 8.6919E-04 6.8084E-04 5.6356E-04 4.8253E-04 3.7687E-04 3.1002E-04 2.1655E-04 1.6762E-04 1.1653E-04 8.9905E-05 7.3541E-05 6.2361E-05 4.8046E-05 3.9230E-05 2.7112E-05 2.0842E-05 1.4373E-05 1.1039E-05 8.9822E-06 7.5963E-06 5.8247E-06 4.7391E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 1.8868E+03 4.4541E+05 9.7756E+03 1.1852E+03 4.3559E+03 4.6516E+03 4.9663E+03 6.6500E+03 6.0740E+03 5.5486E+03 6.2817E+03 5.4698E+03 2.7063E+03 9.5711E+02 4.4612E+02 2.4409E+02 1.4813E+02 6.6749E+01 3.5713E+01 2.6590E+01 1.9665E+02 9.0403E+01 4.1436E+01 1.3353E+01 5.8430E+00 3.0438E+00 1.7749E+00 7.5150E-01 3.8351E-01 1.1246E-01 4.7324E-02 2.4415E-02 2.4415E-02 1.4373E-02 6.4119E-03 4.6670E-03 3.5415E-03 2.7793E-03 2.2385E-03 1.8406E-03 1.3171E-03 1.1437E-03 1.0080E-03 7.9911E-04 7.1202E-04 6.7661E-04 4.5715E-04 4.2602E-04 3.7253E-04 3.2910E-04 2.9377E-04 2.4033E-04 2.0212E-04 1.9515E-04 1.7364E-04 1.3443E-04 1.0898E-04 7.3093E-05 5.4540E-05 4.3335E-05 3.5871E-05 3.0563E-05 2.6607E-05 2.3546E-05 2.1108E-05 1.9126E-05 1.7475E-05 1.6090E-05 1.4904E-05 1.3884E-05 1.2200E-05 1.0881E-05 9.8199E-06 8.9490E-06 8.2183E-06 7.5971E-06 7.0630E-06 5.2251E-06 4.1452E-06 3.4353E-06 2.5586E-06 2.0378E-06 1.3511E-06 1.0102E-06 6.7163E-07 5.0302E-07 4.0208E-07 3.3482E-07 2.5097E-07 2.0071E-07 1.3370E-07 1.0027E-07 6.6815E-08 5.0103E-08 4.0084E-08 3.3399E-08 2.5047E-08 2.0038E-08 1.3361E-08 1.0019E-08 6.6782E-09 5.0086E-09 4.0067E-09 3.3391E-09 2.5039E-09 2.0038E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 8.8993E-05 1.4017E-04 2.7310E-04 4.4123E-04 6.3947E-04 1.1068E-03 1.6347E-03 1.7550E-03 2.1896E-03 3.3312E-03 4.4604E-03 7.0713E-03 9.3720E-03 1.1396E-02 1.3204E-02 1.4829E-02 1.6306E-02 1.7641E-02 1.8860E-02 1.9971E-02 2.1008E-02 2.1962E-02 2.2849E-02 2.3687E-02 2.5213E-02 2.6582E-02 2.7817E-02 2.8945E-02 2.9974E-02 3.0919E-02 3.1790E-02 3.5348E-02 3.7994E-02 4.0067E-02 4.3136E-02 4.5317E-02 4.8792E-02 5.0874E-02 5.3288E-02 5.4673E-02 5.5593E-02 5.6240E-02 5.7111E-02 5.7675E-02 5.8488E-02 5.8936E-02 5.9417E-02 5.9674E-02 5.9840E-02 5.9948E-02 6.0097E-02 6.0188E-02 6.0321E-02 6.0387E-02 6.0462E-02 6.0503E-02 6.0520E-02 6.0537E-02 6.0561E-02 6.0570E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.0244E-07 3.0390E-06 1.0707E-05 4.3700E-05 8.7002E-05 1.3361E-04 1.7998E-04 2.2501E-04 2.6806E-04 3.0903E-04 3.4784E-04 3.8450E-04 4.1900E-04 4.5193E-04 4.8311E-04 5.1272E-04 5.6779E-04 6.1789E-04 6.6384E-04 7.0622E-04 7.4536E-04 7.8169E-04 8.1561E-04 9.5628E-04 1.0641E-03 1.1495E-03 1.2789E-03 1.3735E-03 1.5310E-03 1.6306E-03 1.7525E-03 1.8255E-03 1.8761E-03 1.9134E-03 1.9640E-03 1.9980E-03 2.0486E-03 2.0776E-03 2.1091E-03 2.1274E-03 2.1390E-03 2.1473E-03 2.1572E-03 2.1639E-03 2.1730E-03 2.1788E-03 2.1838E-03 2.1871E-03 2.1887E-03 2.1904E-03 2.1912E-03 2.1921E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/U.mat0000644000276300001750000002277213136054446020175 0ustar solebliss00000000000000U 1 92 1.000000 13 4 3 3 5 3 3 3 3 6 3 3 8 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0449E-03 1.0449E-03 1.1531E-03 1.2726E-03 1.2726E-03 1.3541E-03 1.4408E-03 1.4408E-03 1.5000E-03 2.0000E-03 3.0000E-03 3.5517E-03 3.5517E-03 3.6386E-03 3.7276E-03 3.7276E-03 4.0000E-03 4.3034E-03 4.3034E-03 5.0000E-03 5.1822E-03 5.1822E-03 5.3620E-03 5.5480E-03 5.5480E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.7166E-02 1.7166E-02 2.0000E-02 2.0948E-02 2.0948E-02 2.1349E-02 2.1757E-02 2.1757E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.1561E-01 1.1561E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.3568E+01 1.2763E+02 1.5256E+01 1.3515E+01 1.3515E+01 1.3391E+01 1.3247E+01 1.3247E+01 1.3142E+01 1.3027E+01 1.3027E+01 1.2949E+01 1.2296E+01 1.1018E+01 1.0360E+01 1.0360E+01 1.0260E+01 1.0158E+01 1.0158E+01 9.8544E+00 9.5305E+00 9.5305E+00 8.8398E+00 8.6703E+00 8.6703E+00 8.5087E+00 8.3465E+00 8.3465E+00 7.9695E+00 6.5679E+00 5.4977E+00 3.7343E+00 3.2182E+00 3.2182E+00 2.6894E+00 2.5401E+00 2.5401E+00 2.4817E+00 2.4245E+00 2.4245E+00 1.5848E+00 1.0654E+00 7.6811E-01 5.7811E-01 3.6306E-01 2.5191E-01 1.9744E-01 1.9744E-01 1.2597E-01 7.5445E-02 5.0439E-02 3.6204E-02 2.7285E-02 2.1308E-02 1.7098E-02 1.4021E-02 1.1706E-02 9.9201E-03 8.5132E-03 6.4685E-03 5.7127E-03 5.0827E-03 4.0984E-03 3.7090E-03 3.5547E-03 2.4002E-03 2.2230E-03 1.9224E-03 1.6787E-03 1.4784E-03 1.1721E-03 9.5229E-04 9.1232E-04 7.8905E-04 5.6661E-04 4.2631E-04 2.4048E-04 1.5413E-04 1.0712E-04 7.8734E-05 6.0290E-05 4.7665E-05 3.8608E-05 3.1903E-05 2.6818E-05 2.2854E-05 1.9706E-05 1.7166E-05 1.5089E-05 1.1924E-05 9.6570E-06 7.9822E-06 6.7070E-06 5.7153E-06 4.9284E-06 4.2934E-06 2.4149E-06 1.5456E-06 1.0732E-06 6.0366E-07 3.8633E-07 1.7174E-07 9.6595E-08 4.2934E-08 2.4149E-08 1.5456E-08 1.0732E-08 6.0366E-09 3.8633E-09 1.7174E-09 9.6595E-10 4.2934E-10 2.4149E-10 1.5456E-10 1.0732E-10 6.0366E-11 3.8633E-11 1.7174E-11 9.6595E-12 4.2934E-12 2.4149E-12 1.5456E-12 1.0732E-12 6.0366E-13 3.8633E-13 INCOHERENT SCATTERING CROSS SECTION 4.5262E-03 4.5960E+14 5.7419E-03 4.7944E-03 4.7944E-03 5.4284E-03 6.1201E-03 6.1201E-03 6.5971E-03 7.1068E-03 7.1068E-03 7.4534E-03 1.0343E-02 1.5952E-02 1.8886E-02 1.8886E-02 1.9335E-02 1.9790E-02 1.9790E-02 2.1158E-02 2.2644E-02 2.2644E-02 2.5882E-02 2.6666E-02 2.6666E-02 2.7441E-02 2.8235E-02 2.8235E-02 3.0082E-02 3.7469E-02 4.3971E-02 5.7052E-02 6.1428E-02 6.1428E-02 6.6261E-02 6.7703E-02 6.7703E-02 6.8297E-02 6.8892E-02 6.8892E-02 7.8329E-02 8.5767E-02 9.0346E-02 9.3053E-02 9.5179E-02 9.5103E-02 9.4344E-02 9.4344E-02 9.1586E-02 8.6830E-02 8.2220E-02 7.8051E-02 7.4349E-02 7.1068E-02 6.8147E-02 6.5527E-02 6.3157E-02 6.0998E-02 5.9020E-02 5.5520E-02 5.3965E-02 5.2519E-02 4.9900E-02 4.8703E-02 4.8197E-02 4.3668E-02 4.2812E-02 4.1220E-02 3.9772E-02 3.8449E-02 3.6090E-02 3.4003E-02 3.3573E-02 3.2163E-02 2.9178E-02 2.6793E-02 2.2360E-02 1.9317E-02 1.7078E-02 1.5352E-02 1.3973E-02 1.2845E-02 1.1904E-02 1.1102E-02 1.0413E-02 9.8088E-03 9.2800E-03 8.8095E-03 8.3895E-03 7.6684E-03 7.0714E-03 6.5679E-03 6.1378E-03 5.7633E-03 5.4370E-03 5.1486E-03 4.0910E-03 3.4155E-03 2.9424E-03 2.3210E-03 1.9263E-03 1.3718E-03 1.0755E-03 7.6229E-04 5.9708E-04 4.9436E-04 4.2327E-04 3.3042E-04 2.7198E-04 1.8990E-04 1.4697E-04 1.0219E-04 7.8885E-05 6.4490E-05 5.4699E-05 4.2125E-05 3.4408E-05 2.3774E-05 1.8279E-05 1.2607E-05 9.6773E-06 7.8810E-06 6.6615E-06 5.1081E-06 4.1568E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.6134E+03 4.0381E+05 2.2804E+04 6.1150E+03 6.5072E+03 5.4186E+03 4.5135E+03 4.5768E+03 4.0498E+03 3.5850E+03 3.6559E+03 3.3674E+03 1.8527E+03 7.5824E+02 5.1536E+02 1.2554E+03 1.1760E+03 1.1018E+03 1.5716E+03 1.3189E+03 1.1008E+03 1.2820E+03 8.8019E+02 8.0302E+02 8.5236E+02 7.8333E+02 7.1979E+02 7.5065E+02 6.2036E+02 3.0411E+02 1.7356E+02 6.1479E+01 4.3339E+01 1.0368E+02 6.8310E+01 6.0391E+01 8.5767E+01 8.1653E+01 7.7747E+01 8.9714E+01 3.9620E+01 1.8679E+01 1.0353E+01 6.3630E+00 2.9373E+00 1.6076E+00 1.0859E+00 4.6021E+00 2.3734E+00 1.1357E+00 6.4186E-01 4.0505E-01 2.7642E-01 1.9984E-01 1.5099E-01 1.1808E-01 9.4931E-02 7.8076E-02 6.5437E-02 4.8058E-02 4.1922E-02 3.6926E-02 2.9399E-02 2.6540E-02 2.5427E-02 1.7184E-02 1.5947E-02 1.3876E-02 1.2220E-02 1.0875E-02 8.8376E-03 7.3800E-03 7.1144E-03 6.2949E-03 4.8058E-03 3.8456E-03 2.5093E-03 1.8345E-03 1.4348E-03 1.1732E-03 9.8948E-04 8.5438E-04 7.5090E-04 6.6919E-04 6.0315E-04 5.4876E-04 5.0322E-04 4.6476E-04 4.3137E-04 3.7722E-04 3.3523E-04 3.0132E-04 2.7375E-04 2.5075E-04 2.3127E-04 2.1459E-04 1.5764E-04 1.2453E-04 1.0290E-04 7.6355E-05 6.0695E-05 4.0101E-05 2.9955E-05 1.9878E-05 1.4876E-05 1.1883E-05 9.8948E-06 7.4129E-06 5.9253E-06 3.9468E-06 2.9601E-06 1.9719E-06 1.4788E-06 1.1828E-06 9.8544E-07 7.3901E-07 5.9126E-07 3.9417E-07 2.9550E-07 1.9704E-07 1.4778E-07 1.1823E-07 9.8518E-08 7.3876E-08 5.9101E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.4553E-04 7.0972E-04 1.3878E-03 2.1988E-03 3.0648E-03 4.7894E-03 6.4414E-03 6.8006E-03 8.0330E-03 1.0887E-02 1.3394E-02 1.8770E-02 2.3253E-02 2.7096E-02 3.0512E-02 3.3573E-02 3.6407E-02 3.8987E-02 4.1416E-02 4.3643E-02 4.5742E-02 4.7716E-02 4.9563E-02 5.1283E-02 5.4395E-02 5.7178E-02 5.9708E-02 6.2010E-02 6.4136E-02 6.6058E-02 6.7855E-02 7.5116E-02 8.0505E-02 8.4704E-02 9.0852E-02 9.5204E-02 1.0206E-01 1.0613E-01 1.1089E-01 1.1362E-01 1.1542E-01 1.1668E-01 1.1838E-01 1.1949E-01 1.2109E-01 1.2195E-01 1.2288E-01 1.2341E-01 1.2372E-01 1.2394E-01 1.2425E-01 1.2443E-01 1.2468E-01 1.2481E-01 1.2496E-01 1.2503E-01 1.2508E-01 1.2511E-01 1.2516E-01 1.2518E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.9671E-08 2.6576E-06 9.3559E-06 3.8127E-05 7.5799E-05 1.1613E-04 1.5623E-04 1.9494E-04 2.3190E-04 2.6691E-04 3.0006E-04 3.3092E-04 3.6027E-04 3.8785E-04 4.1416E-04 4.3896E-04 4.8475E-04 5.2649E-04 5.6419E-04 5.9885E-04 6.3073E-04 6.6033E-04 6.8765E-04 7.9999E-04 8.8424E-04 9.5052E-04 1.0494E-03 1.1205E-03 1.2369E-03 1.3093E-03 1.3966E-03 1.4487E-03 1.4844E-03 1.5102E-03 1.5458E-03 1.5696E-03 1.6050E-03 1.6250E-03 1.6468E-03 1.6599E-03 1.6678E-03 1.6733E-03 1.6807E-03 1.6855E-03 1.6916E-03 1.6954E-03 1.6989E-03 1.7012E-03 1.7027E-03 1.7035E-03 1.7045E-03 1.7052E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ho.mat0000644000276300001750000002174213136054446020333 0ustar solebliss00000000000000Ho 1 67 1.000000 10 4 3 3 3 3 7 3 3 8 81 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.3514E-03 1.3514E-03 1.3713E-03 1.3915E-03 1.3915E-03 1.5000E-03 1.7412E-03 1.7412E-03 1.8297E-03 1.9228E-03 1.9228E-03 2.0000E-03 2.1283E-03 2.1283E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 8.0711E-03 8.0711E-03 8.4839E-03 8.9178E-03 8.9178E-03 9.1529E-03 9.3942E-03 9.3942E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 5.5618E-02 5.5618E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.0370E+01 6.3692E+01 1.1587E+01 1.0034E+01 1.0034E+01 1.0014E+01 9.9937E+00 9.9937E+00 9.8805E+00 9.6395E+00 9.6395E+00 9.5473E+00 9.4496E+00 9.4496E+00 9.3693E+00 9.2342E+00 9.2342E+00 8.3615E+00 7.4158E+00 6.5724E+00 5.8385E+00 4.6773E+00 4.6408E+00 4.6408E+00 4.4424E+00 4.2501E+00 4.2501E+00 4.1497E+00 4.0493E+00 4.0493E+00 3.8120E+00 2.4654E+00 1.7541E+00 1.0359E+00 6.7695E-01 4.7905E-01 4.0530E-01 4.0530E-01 3.5966E-01 2.2536E-01 1.5387E-01 7.5035E-02 4.4656E-02 2.9648E-02 2.1101E-02 1.5768E-02 1.2225E-02 9.7547E-03 7.9635E-03 6.6228E-03 5.5938E-03 4.7874E-03 3.6211E-03 3.1913E-03 2.8333E-03 2.2769E-03 2.0586E-03 1.9724E-03 1.3254E-03 1.2263E-03 1.0587E-03 9.2342E-04 8.1264E-04 6.4339E-04 5.2141E-04 4.9914E-04 4.3083E-04 3.0889E-04 2.3237E-04 1.3083E-04 8.3761E-05 5.8202E-05 4.2757E-05 3.2745E-05 2.5873E-05 2.0959E-05 1.7322E-05 1.4554E-05 1.2404E-05 1.0695E-05 9.3145E-06 8.1863E-06 6.4701E-06 5.2396E-06 4.3305E-06 3.6393E-06 3.1011E-06 2.6739E-06 2.3292E-06 1.3101E-06 8.3834E-07 5.8239E-07 3.2752E-07 2.0962E-07 9.3182E-08 5.2396E-08 2.3292E-08 1.3101E-08 8.3834E-09 5.8239E-09 3.2752E-09 2.0962E-09 9.3182E-10 5.2396E-10 2.3292E-10 1.3101E-10 8.3834E-11 5.8239E-11 3.2752E-11 2.0962E-11 9.3182E-12 5.2396E-12 2.3292E-12 1.3101E-12 8.3834E-13 5.8239E-13 3.2752E-13 2.0962E-13 INCOHERENT SCATTERING CROSS SECTION 5.1374E-03 7.6215E-03 2.3254E-03 7.4852E-03 7.4852E-03 7.6174E-03 7.7518E-03 7.7518E-03 8.4784E-03 1.0063E-02 1.0063E-02 1.0647E-02 1.1261E-02 1.1261E-02 1.1768E-02 1.2612E-02 1.2612E-02 1.8282E-02 2.4387E-02 3.0007E-02 3.5107E-02 4.3889E-02 4.4181E-02 4.4181E-02 4.5827E-02 4.7467E-02 4.7467E-02 4.8322E-02 4.9183E-02 4.9183E-02 5.1301E-02 6.6016E-02 7.6933E-02 9.0662E-02 9.7928E-02 1.0187E-01 1.0326E-01 1.0326E-01 1.0399E-01 1.0519E-01 1.0435E-01 9.9133E-02 9.3255E-02 8.7904E-02 8.3214E-02 7.9117E-02 7.5509E-02 7.2306E-02 6.9448E-02 6.6884E-02 6.4555E-02 6.2422E-02 5.8660E-02 5.6997E-02 5.5458E-02 5.2663E-02 5.1374E-02 5.0826E-02 4.6007E-02 4.5104E-02 4.3421E-02 4.1881E-02 4.0464E-02 3.7946E-02 3.5776E-02 3.5337E-02 3.3882E-02 3.0722E-02 2.8177E-02 2.3515E-02 2.0309E-02 1.7954E-02 1.6139E-02 1.4689E-02 1.3503E-02 1.2513E-02 1.1670E-02 1.0943E-02 1.0311E-02 9.7563E-03 9.2598E-03 8.8179E-03 8.0621E-03 7.4341E-03 6.9047E-03 6.4519E-03 6.0575E-03 5.7143E-03 5.4113E-03 4.3013E-03 3.5900E-03 3.0930E-03 2.4394E-03 2.0247E-03 1.4419E-03 1.1304E-03 8.0147E-04 6.2766E-04 5.1958E-04 4.4473E-04 3.4739E-04 2.8579E-04 1.9958E-04 1.5449E-04 1.0742E-04 8.2922E-05 6.7769E-05 5.7472E-05 4.4291E-05 3.6159E-05 2.4990E-05 1.9213E-05 1.3251E-05 1.0173E-05 8.2849E-06 7.0032E-06 5.3674E-06 4.3670E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.6056E+03 2.2690E+05 9.9964E+03 1.4529E+03 2.0583E+03 3.0368E+03 4.4765E+03 5.1812E+03 5.8385E+03 4.0274E+03 4.6664E+03 4.1518E+03 3.6951E+03 3.9252E+03 3.5812E+03 3.1190E+03 3.2570E+03 1.4561E+03 7.1895E+02 4.1041E+02 2.5771E+02 1.2232E+02 1.1954E+02 3.2365E+02 2.8428E+02 2.4971E+02 3.4206E+02 3.2085E+02 3.0101E+02 3.4793E+02 2.9733E+02 1.0351E+02 4.7978E+01 1.5883E+01 7.1639E+00 3.8448E+00 2.8520E+00 1.5412E+01 1.2630E+01 5.9115E+00 3.2343E+00 1.0618E+00 4.7978E-01 2.6062E-01 1.5956E-01 1.0622E-01 7.5217E-02 5.5848E-02 4.3049E-02 3.4201E-02 2.7849E-02 2.3144E-02 1.6786E-02 1.4583E-02 1.2809E-02 1.0154E-02 9.1429E-03 8.7486E-03 5.8969E-03 5.4763E-03 4.7730E-03 4.2100E-03 3.7507E-03 3.0524E-03 2.5526E-03 2.4617E-03 2.1814E-03 1.6720E-03 1.3433E-03 8.8435E-04 6.5067E-04 5.1155E-04 4.2027E-04 3.5560E-04 3.0788E-04 2.7122E-04 2.4223E-04 2.1871E-04 1.9933E-04 1.8304E-04 1.6920E-04 1.5726E-04 1.3780E-04 1.2257E-04 1.1038E-04 1.0037E-04 9.2013E-05 8.4930E-05 7.8869E-05 5.8093E-05 4.5970E-05 3.8010E-05 2.8243E-05 2.2467E-05 1.4865E-05 1.1107E-05 7.3757E-06 5.5208E-06 4.4108E-06 3.6732E-06 2.7527E-06 2.2007E-06 1.4660E-06 1.0990E-06 7.3246E-07 5.4916E-07 4.3925E-07 3.6623E-07 2.7454E-07 2.1963E-07 1.4642E-07 1.0980E-07 7.3209E-08 5.4879E-08 4.3925E-08 3.6586E-08 2.7447E-08 2.1959E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.7425E-04 4.2690E-04 8.1035E-04 1.2710E-03 1.7826E-03 2.8891E-03 4.0420E-03 4.2976E-03 5.1990E-03 7.4388E-03 9.5409E-03 1.4196E-02 1.8151E-02 2.1550E-02 2.4551E-02 2.7250E-02 2.9700E-02 3.1949E-02 3.4027E-02 3.5958E-02 3.7755E-02 3.9434E-02 4.1004E-02 4.2465E-02 4.5057E-02 4.7394E-02 4.9512E-02 5.1447E-02 5.3200E-02 5.4806E-02 5.6303E-02 6.2365E-02 6.6856E-02 7.0361E-02 7.5546E-02 7.9161E-02 8.4930E-02 8.8362E-02 9.2378E-02 9.4642E-02 9.6139E-02 9.7198E-02 9.8622E-02 9.9572E-02 1.0089E-01 1.0162E-01 1.0238E-01 1.0282E-01 1.0308E-01 1.0326E-01 1.0351E-01 1.0366E-01 1.0388E-01 1.0399E-01 1.0410E-01 1.0417E-01 1.0421E-01 1.0425E-01 1.0425E-01 1.0428E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4278E-08 2.7958E-06 9.8476E-06 4.0165E-05 7.9891E-05 1.2250E-04 1.6493E-04 2.0593E-04 2.4511E-04 2.8228E-04 3.1745E-04 3.5053E-04 3.8156E-04 4.1114E-04 4.3925E-04 4.6591E-04 5.1484E-04 5.5975E-04 6.0028E-04 6.3789E-04 6.7221E-04 7.0434E-04 7.3392E-04 8.5624E-04 9.4825E-04 1.0209E-03 1.1297E-03 1.2086E-03 1.3382E-03 1.4185E-03 1.5164E-03 1.5752E-03 1.6150E-03 1.6442E-03 1.6844E-03 1.7110E-03 1.7508E-03 1.7734E-03 1.7979E-03 1.8125E-03 1.8216E-03 1.8279E-03 1.8362E-03 1.8414E-03 1.8487E-03 1.8527E-03 1.8567E-03 1.8593E-03 1.8607E-03 1.8618E-03 1.8629E-03 1.8636E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Cf.mat0000644000276300001750000002266213136054446020317 0ustar solebliss00000000000000Cf 1 98 1.000000 13 4 3 3 5 3 3 3 3 5 3 3 8 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.2790E-03 1.2790E-03 1.5000E-03 1.6160E-03 1.6160E-03 1.7050E-03 1.7990E-03 1.7990E-03 2.0000E-03 3.0000E-03 4.0000E-03 4.2530E-03 4.2530E-03 4.3733E-03 4.4970E-03 4.4970E-03 5.0000E-03 5.1090E-03 5.1090E-03 6.0000E-03 6.3590E-03 6.3590E-03 6.5535E-03 6.7540E-03 6.7540E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.9930E-02 1.9930E-02 2.0000E-02 2.5250E-02 2.5250E-02 2.5676E-02 2.6110E-02 2.6110E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.3596E-01 1.3596E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.4696E+01 1.2003E+02 1.6364E+01 1.4377E+01 1.4377E+01 1.4091E+01 1.3938E+01 1.3938E+01 1.3826E+01 1.3707E+01 1.3707E+01 1.3434E+01 1.2096E+01 1.0832E+01 1.0532E+01 1.0532E+01 1.0393E+01 1.0251E+01 1.0251E+01 9.6995E+00 9.5868E+00 9.5868E+00 8.7209E+00 8.4043E+00 8.4043E+00 8.2389E+00 8.0733E+00 8.0733E+00 7.1571E+00 5.9890E+00 4.0918E+00 2.9861E+00 2.9861E+00 2.9741E+00 2.2121E+00 2.2121E+00 2.1642E+00 2.1174E+00 2.1174E+00 1.7600E+00 1.1798E+00 8.5674E-01 6.4783E-01 4.0726E-01 2.8278E-01 1.6888E-01 1.6888E-01 1.4252E-01 8.5554E-02 5.7284E-02 4.1182E-02 3.1088E-02 2.4321E-02 1.9552E-02 1.6060E-02 1.3425E-02 1.1388E-02 9.7815E-03 7.4440E-03 6.5791E-03 5.8575E-03 4.7288E-03 4.2813E-03 4.1038E-03 2.7751E-03 2.5712E-03 2.2252E-03 1.9445E-03 1.7134E-03 1.3594E-03 1.1050E-03 1.0587E-03 9.1597E-04 6.5841E-04 4.9577E-04 2.7990E-04 1.7946E-04 1.2477E-04 9.1719E-05 7.0252E-05 5.5525E-05 4.4996E-05 3.7201E-05 3.1252E-05 2.6623E-05 2.2966E-05 2.0008E-05 1.7586E-05 1.3897E-05 1.1256E-05 9.3038E-06 7.8167E-06 6.6606E-06 5.7444E-06 5.0033E-06 2.8158E-06 1.8015E-06 1.2511E-06 7.0372E-07 4.5044E-07 2.0018E-07 1.1259E-07 5.0033E-08 2.8158E-08 1.8015E-08 1.2511E-08 7.0372E-09 4.5044E-09 2.0018E-09 1.1259E-09 5.0033E-10 2.8158E-10 1.8015E-10 1.2511E-10 7.0372E-11 4.5044E-11 2.0018E-11 1.1259E-11 5.0033E-12 2.8158E-12 1.8015E-12 1.2511E-12 7.0372E-13 4.5044E-13 INCOHERENT SCATTERING CROSS SECTION 4.0798E-03 3.1822E-03 1.7946E-03 5.5885E-03 5.5885E-03 6.7997E-03 7.4401E-03 7.4401E-03 7.9307E-03 8.4475E-03 8.4475E-03 9.5532E-03 1.4921E-02 1.9905E-02 2.1102E-02 2.1102E-02 2.1663E-02 2.2232E-02 2.2232E-02 2.4465E-02 2.4944E-02 2.4944E-02 2.8638E-02 3.0053E-02 3.0053E-02 3.0803E-02 3.1564E-02 3.1564E-02 3.6049E-02 4.2573E-02 5.5933E-02 6.5407E-02 6.5407E-02 6.5503E-02 7.2770E-02 7.2770E-02 7.3278E-02 7.3778E-02 7.3778E-02 7.7807E-02 8.5267E-02 8.9920E-02 9.2750E-02 9.5100E-02 9.5196E-02 9.2846E-02 9.2846E-02 9.1695E-02 8.7209E-02 8.2678E-02 7.8527E-02 7.4842E-02 7.1571E-02 6.8652E-02 6.6031E-02 6.3660E-02 6.1497E-02 5.9511E-02 5.5988E-02 5.4422E-02 5.2967E-02 5.0340E-02 4.9145E-02 4.8642E-02 4.4084E-02 4.3215E-02 4.1597E-02 4.0127E-02 3.8791E-02 3.6417E-02 3.4322E-02 3.3891E-02 3.2473E-02 2.9464E-02 2.7055E-02 2.2577E-02 1.9505E-02 1.7245E-02 1.5501E-02 1.4110E-02 1.2971E-02 1.2019E-02 1.1211E-02 1.0515E-02 9.9058E-03 9.3709E-03 8.8984E-03 8.4739E-03 7.7447E-03 7.1427E-03 6.6342E-03 6.1977E-03 5.8212E-03 5.4902E-03 5.1999E-03 4.1326E-03 3.4490E-03 2.9717E-03 2.3438E-03 1.9454E-03 1.3854E-03 1.0863E-03 7.6992E-04 6.0298E-04 4.9913E-04 4.2741E-04 3.3387E-04 2.7463E-04 1.9176E-04 1.4842E-04 1.0321E-04 7.9654E-05 6.5119E-05 5.5237E-05 4.2549E-05 3.4730E-05 2.4009E-05 1.8459E-05 1.2731E-05 9.7739E-06 7.9582E-06 6.7278E-06 5.1592E-06 4.1974E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 7.8791E+03 3.9299E+05 2.5562E+04 5.1879E+03 5.5213E+03 4.0487E+03 3.4826E+03 3.5234E+03 3.1538E+03 2.8230E+03 2.8734E+03 2.2978E+03 9.4213E+02 4.8618E+02 4.2118E+02 9.4429E+02 8.9285E+02 8.4427E+02 1.1738E+03 9.1766E+02 8.6922E+02 1.0141E+03 6.7662E+02 5.8164E+02 6.1665E+02 5.7214E+02 5.3079E+02 5.5285E+02 3.6433E+02 2.0867E+02 7.4713E+01 3.6001E+01 8.3012E+01 8.2724E+01 4.4348E+01 6.3728E+01 6.1020E+01 5.8427E+01 6.7350E+01 4.7394E+01 2.2779E+01 1.2755E+01 7.9030E+00 3.6889E+00 2.0361E+00 8.9704E-01 3.5474E+00 2.7919E+00 1.3504E+00 7.7098E-01 4.9169E-01 3.3805E-01 2.4585E-01 1.8676E-01 1.4674E-01 1.1841E-01 9.7667E-02 8.2048E-02 6.0491E-02 5.2863E-02 4.6644E-02 3.7220E-02 3.3603E-02 3.2188E-02 2.1778E-02 2.0212E-02 1.7581E-02 1.5478E-02 1.3773E-02 1.1194E-02 9.3445E-03 9.0064E-03 7.9642E-03 6.0754E-03 4.8594E-03 3.1660E-03 2.3107E-03 1.8051E-03 1.4746E-03 1.2431E-03 1.0726E-03 9.4213E-04 8.3923E-04 7.5625E-04 6.8789E-04 6.3056E-04 5.8211E-04 5.4038E-04 4.7226E-04 4.1950E-04 3.7704E-04 3.4251E-04 3.1348E-04 2.8926E-04 2.6815E-04 1.9694E-04 1.5552E-04 1.2849E-04 9.5292E-05 7.5745E-05 5.0033E-05 3.7369E-05 2.4800E-05 1.8555E-05 1.4823E-05 1.2340E-05 9.2462E-06 7.3922E-06 4.9241E-06 3.6913E-06 2.4585E-06 1.8440E-06 1.4751E-06 1.2290E-06 9.2174E-07 7.3730E-07 4.9145E-07 3.6865E-07 2.4561E-07 1.8428E-07 1.4744E-07 1.2285E-07 9.2150E-08 7.3706E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.9241E-04 7.9062E-04 1.5630E-03 2.4896E-03 3.4730E-03 5.3946E-03 7.1883E-03 7.5745E-03 8.8940E-03 1.1925E-02 1.4554E-02 2.0092E-02 2.4705E-02 2.8566E-02 3.2092E-02 3.5282E-02 3.8208E-02 4.0918E-02 4.3437E-02 4.5787E-02 4.7994E-02 5.0057E-02 5.1975E-02 5.3798E-02 5.7084E-02 6.0010E-02 6.2673E-02 6.5119E-02 6.7374E-02 6.9412E-02 7.1307E-02 7.9006E-02 8.4739E-02 8.9200E-02 9.5748E-02 1.0035E-01 1.0760E-01 1.1191E-01 1.1693E-01 1.1980E-01 1.2168E-01 1.2304E-01 1.2482E-01 1.2597E-01 1.2762E-01 1.2856E-01 1.2949E-01 1.3009E-01 1.3043E-01 1.3067E-01 1.3098E-01 1.3117E-01 1.3141E-01 1.3156E-01 1.3170E-01 1.3180E-01 1.3185E-01 1.3189E-01 1.3192E-01 1.3194E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0589E-08 2.6838E-06 9.4453E-06 3.8472E-05 7.6464E-05 1.1717E-04 1.5756E-04 1.9658E-04 2.3381E-04 2.6911E-04 3.0221E-04 3.3363E-04 3.6289E-04 3.9096E-04 4.1734E-04 4.4228E-04 4.8833E-04 5.3007E-04 5.6796E-04 6.0298E-04 6.3488E-04 6.6462E-04 6.9197E-04 8.0470E-04 8.8912E-04 9.5556E-04 1.0541E-03 1.1251E-03 1.2410E-03 1.3127E-03 1.3993E-03 1.4506E-03 1.4856E-03 1.5111E-03 1.5461E-03 1.5693E-03 1.6036E-03 1.6233E-03 1.6444E-03 1.6571E-03 1.6648E-03 1.6701E-03 1.6773E-03 1.6818E-03 1.6878E-03 1.6917E-03 1.6948E-03 1.6972E-03 1.6984E-03 1.6993E-03 1.7001E-03 1.7008E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Mn.mat0000644000276300001750000001666213136054446020344 0ustar solebliss00000000000000Mn 1 25 1.000000 2 10 88 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 6.5390E-03 6.5390E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 4.2400E+00 3.8550E+01 4.9518E+00 3.9484E+00 3.6459E+00 3.0912E+00 2.6133E+00 2.2132E+00 1.8843E+00 1.7352E+00 1.7352E+00 1.4075E+00 1.0995E+00 6.8785E-01 4.7639E-01 2.6133E-01 1.6475E-01 1.1433E-01 8.4350E-02 5.1454E-02 3.4540E-02 1.6311E-02 9.4523E-03 6.1554E-03 4.3222E-03 3.1994E-03 2.4620E-03 1.9519E-03 1.5851E-03 1.3127E-03 1.1049E-03 9.4273E-04 7.0941E-04 6.2394E-04 5.5303E-04 4.4316E-04 4.0010E-04 3.8311E-04 2.5639E-04 2.3708E-04 2.0446E-04 1.7813E-04 1.5657E-04 1.2374E-04 1.0026E-04 9.5991E-05 8.2878E-05 5.9350E-05 4.4581E-05 2.5080E-05 1.6048E-05 1.1148E-05 8.1906E-06 6.2712E-06 4.9547E-06 4.0131E-06 3.3170E-06 2.7876E-06 2.3754E-06 2.0476E-06 1.7835E-06 1.5675E-06 1.2387E-06 1.0034E-06 8.2925E-07 6.9683E-07 5.9368E-07 5.1191E-07 4.4592E-07 2.5080E-07 1.6059E-07 1.1148E-07 6.2712E-08 4.0131E-08 1.7835E-08 1.0033E-08 4.4592E-09 2.5080E-09 1.6059E-09 1.1148E-09 6.2712E-10 4.0131E-10 1.7835E-10 1.0033E-10 4.4592E-11 2.5080E-11 1.6059E-11 1.1148E-11 6.2712E-12 4.0131E-12 1.7835E-12 1.0033E-12 4.4592E-13 2.5080E-13 1.6059E-13 1.1148E-13 6.2712E-14 4.0131E-14 INCOHERENT SCATTERING CROSS SECTION 9.2363E-03 3.9090E-02 3.9665E-03 1.5905E-02 2.1901E-02 3.2764E-02 4.2794E-02 5.1915E-02 6.0136E-02 6.4203E-02 6.4203E-02 7.4145E-02 8.5227E-02 1.0364E-01 1.1477E-01 1.2672E-01 1.3154E-01 1.3297E-01 1.3297E-01 1.3055E-01 1.2705E-01 1.1751E-01 1.0896E-01 1.0177E-01 9.5728E-02 9.0585E-02 8.6148E-02 8.2271E-02 7.8847E-02 7.5794E-02 7.3049E-02 7.0560E-02 6.6199E-02 6.4268E-02 6.2476E-02 5.9263E-02 5.7823E-02 5.7220E-02 5.1728E-02 5.0693E-02 4.8776E-02 4.7037E-02 4.5447E-02 4.2622E-02 4.0153E-02 3.9648E-02 3.7986E-02 3.4433E-02 3.1592E-02 2.6363E-02 2.2767E-02 2.0126E-02 1.8087E-02 1.6453E-02 1.5127E-02 1.4020E-02 1.3077E-02 1.2266E-02 1.1554E-02 1.0929E-02 1.0375E-02 9.8809E-03 9.0302E-03 8.3276E-03 7.7357E-03 7.2281E-03 6.7875E-03 6.4027E-03 6.0629E-03 4.8177E-03 4.0218E-03 3.4650E-03 2.7327E-03 2.2680E-03 1.6147E-03 1.2661E-03 8.9765E-04 7.0297E-04 5.8196E-04 4.9821E-04 3.8914E-04 3.2019E-04 2.2362E-04 1.7309E-04 1.2036E-04 9.2878E-05 7.5932E-05 6.4389E-05 4.9613E-05 4.0503E-05 2.7996E-05 2.1518E-05 1.4842E-05 1.1389E-05 9.2791E-06 7.8431E-06 6.0147E-06 4.8933E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 8.0886E+03 2.3496E+06 4.4602E+04 2.9794E+03 1.4173E+03 4.8199E+02 2.2022E+02 1.1893E+02 7.1558E+01 5.6233E+01 4.5020E+02 2.7196E+02 1.5018E+02 4.9481E+01 2.1934E+01 6.7535E+00 2.8731E+00 1.4667E+00 8.4241E-01 3.4858E-01 1.7506E-01 5.0018E-02 2.0707E-02 1.0564E-02 6.1670E-03 3.9557E-03 2.7196E-03 1.9720E-03 1.4919E-03 1.1679E-03 9.3854E-04 7.7020E-04 5.5001E-04 4.7782E-04 4.2163E-04 3.3443E-04 2.9728E-04 2.8204E-04 1.9073E-04 1.7788E-04 1.5566E-04 1.3757E-04 1.2290E-04 1.0077E-04 8.4931E-05 8.2037E-05 7.3098E-05 5.6779E-05 4.6160E-05 3.1120E-05 2.3316E-05 1.8580E-05 1.5412E-05 1.3154E-05 1.1466E-05 1.0160E-05 9.1179E-06 8.2673E-06 7.5614E-06 6.9651E-06 6.4553E-06 6.0158E-06 5.2923E-06 4.7245E-06 4.2663E-06 3.8881E-06 3.5724E-06 3.3028E-06 3.0715E-06 2.2745E-06 1.8065E-06 1.4974E-06 1.1159E-06 8.8910E-07 5.8974E-07 4.4110E-07 2.9333E-07 2.1967E-07 1.7561E-07 1.4623E-07 1.0962E-07 8.7672E-08 5.8415E-08 4.3803E-08 2.9191E-08 2.1890E-08 1.7517E-08 1.4590E-08 1.0944E-08 8.7540E-09 5.8360E-09 4.3770E-09 2.9180E-09 2.1880E-09 1.7506E-09 1.4590E-09 1.0942E-09 8.7529E-10 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 6.5189E-05 1.0347E-04 2.0427E-04 3.3356E-04 4.8756E-04 8.5520E-04 1.2781E-03 1.3757E-03 1.7278E-03 2.6441E-03 3.5461E-03 5.6705E-03 7.5493E-03 9.2232E-03 1.0711E-02 1.2047E-02 1.3264E-02 1.4360E-02 1.5357E-02 1.6267E-02 1.7111E-02 1.7900E-02 1.8624E-02 1.9314E-02 2.0575E-02 2.1704E-02 2.2713E-02 2.3644E-02 2.4488E-02 2.5267E-02 2.5990E-02 2.8917E-02 3.1120E-02 3.2830E-02 3.5384E-02 3.7215E-02 4.0164E-02 4.1950E-02 4.4044E-02 4.5261E-02 4.6061E-02 4.6631E-02 4.7398E-02 4.7903E-02 4.8626E-02 4.9021E-02 4.9448E-02 4.9678E-02 4.9821E-02 4.9920E-02 5.0051E-02 5.0139E-02 5.0248E-02 5.0314E-02 5.0380E-02 5.0413E-02 5.0435E-02 5.0446E-02 5.0468E-02 5.0479E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0585E-07 3.1397E-06 1.1060E-05 4.5140E-05 8.9919E-05 1.3801E-04 1.8602E-04 2.3261E-04 2.7722E-04 3.1964E-04 3.5987E-04 3.9780E-04 4.3364E-04 4.6774E-04 5.0018E-04 5.3098E-04 5.8809E-04 6.4027E-04 6.8817E-04 7.3235E-04 7.7313E-04 8.1116E-04 8.4657E-04 9.9433E-04 1.1082E-03 1.1981E-03 1.3362E-03 1.4382E-03 1.6092E-03 1.7188E-03 1.8536E-03 1.9358E-03 1.9928E-03 2.0345E-03 2.0937E-03 2.1320E-03 2.1912E-03 2.2252E-03 2.2614E-03 2.2833E-03 2.2965E-03 2.3063E-03 2.3184E-03 2.3272E-03 2.3381E-03 2.3447E-03 2.3502E-03 2.3546E-03 2.3568E-03 2.3579E-03 2.3601E-03 2.3611E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ga.mat0000644000276300001750000002005013136054446020303 0ustar solebliss00000000000000Ga 1 31 1.000000 5 4 3 3 10 86 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.1154E-03 1.1154E-03 1.1288E-03 1.1423E-03 1.1423E-03 1.2175E-03 1.2977E-03 1.2977E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.0367E-02 1.0367E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 5.2229E+00 3.0693E+03 6.6478E+00 5.1590E+00 5.1590E+00 5.1513E+00 5.1435E+00 5.1435E+00 5.1029E+00 5.0597E+00 5.0597E+00 4.9362E+00 4.6313E+00 4.0448E+00 3.5214E+00 3.0593E+00 2.6568E+00 2.0202E+00 1.5728E+00 1.5081E+00 1.5081E+00 9.5010E-01 6.5202E-01 3.6527E-01 2.3096E-01 1.5944E-01 1.1721E-01 7.1585E-02 4.8334E-02 2.3027E-02 1.3388E-02 8.7374E-03 6.1454E-03 4.5546E-03 3.5093E-03 2.7860E-03 2.2647E-03 1.8764E-03 1.5797E-03 1.3482E-03 1.0151E-03 8.9309E-04 7.9183E-04 6.3476E-04 5.7308E-04 5.4872E-04 3.6734E-04 3.3971E-04 2.9301E-04 2.5532E-04 2.2447E-04 1.7744E-04 1.4372E-04 1.3759E-04 1.1876E-04 8.5063E-05 6.3924E-05 3.5965E-05 2.3018E-05 1.5988E-05 1.1747E-05 8.9914E-06 7.1067E-06 5.7559E-06 4.7574E-06 3.9973E-06 3.4057E-06 2.9367E-06 2.5583E-06 2.2483E-06 1.7767E-06 1.4390E-06 1.1893E-06 9.9933E-07 8.5154E-07 7.3425E-07 6.3959E-07 3.5974E-07 2.3027E-07 1.5988E-07 8.9914E-08 5.7559E-08 2.5583E-08 1.4390E-08 6.3950E-09 3.5974E-09 2.3027E-09 1.5988E-09 8.9914E-10 5.7559E-10 2.5583E-10 1.4390E-10 6.3950E-11 3.5974E-11 2.3027E-11 1.5988E-11 8.9914E-12 5.7559E-12 2.5583E-12 1.4390E-12 6.3950E-13 3.5974E-13 2.3027E-13 1.5988E-13 8.9914E-14 5.7559E-14 INCOHERENT SCATTERING CROSS SECTION 6.4762E-03 8.4848E+02 3.3131E-03 7.6776E-03 7.6776E-03 7.8183E-03 7.9609E-03 7.9609E-03 8.7621E-03 9.6219E-03 9.6219E-03 1.1764E-02 1.6869E-02 2.6024E-02 3.4298E-02 4.2020E-02 4.9198E-02 6.1903E-02 7.2656E-02 7.4427E-02 7.4427E-02 9.2418E-02 1.0468E-01 1.1807E-01 1.2412E-01 1.2654E-01 1.2697E-01 1.2541E-01 1.2239E-01 1.1375E-01 1.0572E-01 9.8942E-02 9.3196E-02 8.8249E-02 8.3963E-02 8.0218E-02 7.6906E-02 7.3944E-02 7.1274E-02 6.8853E-02 6.4614E-02 6.2741E-02 6.1005E-02 5.7878E-02 5.6462E-02 5.5866E-02 5.0528E-02 4.9523E-02 4.7652E-02 4.5941E-02 4.4369E-02 4.1585E-02 3.9213E-02 3.8738E-02 3.7152E-02 3.3671E-02 3.0861E-02 2.5748E-02 2.2241E-02 1.9658E-02 1.7672E-02 1.6083E-02 1.4778E-02 1.3699E-02 1.2774E-02 1.1980E-02 1.1289E-02 1.0676E-02 1.0140E-02 9.6564E-03 8.8273E-03 8.1363E-03 7.5576E-03 7.0618E-03 6.6317E-03 6.2559E-03 5.9234E-03 4.7073E-03 3.9291E-03 3.3858E-03 2.6698E-03 2.2163E-03 1.5780E-03 1.2377E-03 8.7668E-04 6.8683E-04 5.6859E-04 4.8679E-04 3.8021E-04 3.1275E-04 2.1844E-04 1.6903E-04 1.1755E-04 9.0777E-05 7.4194E-05 6.2914E-05 4.8472E-05 3.9576E-05 2.7354E-05 2.1023E-05 1.4502E-05 1.1133E-05 9.0691E-06 7.6638E-06 5.8759E-06 4.7807E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 1.6920E+03 3.9238E+05 8.7184E+03 1.3068E+03 3.8142E+03 4.6409E+03 5.6427E+03 7.3382E+03 6.8269E+03 6.3535E+03 7.2000E+03 5.0821E+03 2.5108E+03 8.8186E+02 4.0940E+02 2.2345E+02 1.3552E+02 6.0944E+01 3.2554E+01 2.9418E+01 2.1982E+02 8.4325E+01 3.8522E+01 1.2325E+01 5.3706E+00 2.7898E+00 1.6238E+00 6.8528E-01 3.4903E-01 1.0192E-01 4.2806E-02 2.2050E-02 1.2964E-02 8.3628E-03 5.7749E-03 4.2013E-03 3.1863E-03 2.4989E-03 2.0116E-03 1.6537E-03 1.1834E-03 1.0278E-03 9.0605E-04 7.1827E-04 6.3976E-04 6.0780E-04 4.1079E-04 3.8283E-04 3.3475E-04 2.9574E-04 2.6409E-04 2.1622E-04 1.8181E-04 1.7551E-04 1.5610E-04 1.2091E-04 9.8119E-05 6.5850E-05 4.9163E-05 3.9075E-05 3.2355E-05 2.7579E-05 2.4012E-05 2.1248E-05 1.9054E-05 1.7266E-05 1.5780E-05 1.4528E-05 1.3457E-05 1.2533E-05 1.1021E-05 9.8292E-06 8.8704E-06 8.0853E-06 7.4246E-06 6.8640E-06 6.3812E-06 4.7211E-06 3.7460E-06 3.1042E-06 2.3122E-06 1.8423E-06 1.2213E-06 9.1296E-07 6.0720E-07 4.5475E-07 3.6345E-07 3.0273E-07 2.2690E-07 1.8147E-07 1.2092E-07 9.0605E-08 6.0409E-08 4.5302E-08 3.6233E-08 3.0196E-08 2.2647E-08 1.8112E-08 1.2075E-08 9.0605E-09 6.0374E-09 4.5285E-09 3.6225E-09 3.0187E-09 2.2638E-09 1.8112E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 8.5811E-05 1.3528E-04 2.6396E-04 4.2702E-04 6.1956E-04 1.0743E-03 1.5893E-03 1.7067E-03 2.1313E-03 3.2465E-03 4.3497E-03 6.9046E-03 9.1555E-03 1.1142E-02 1.2921E-02 1.4511E-02 1.5962E-02 1.7266E-02 1.8458E-02 1.9546E-02 2.0548E-02 2.1481E-02 2.2353E-02 2.3174E-02 2.4685E-02 2.6024E-02 2.7242E-02 2.8347E-02 2.9349E-02 3.0282E-02 3.1129E-02 3.4618E-02 3.7218E-02 3.9256E-02 4.2271E-02 4.4421E-02 4.7842E-02 4.9880E-02 5.2255E-02 5.3629E-02 5.4527E-02 5.5166E-02 5.6021E-02 5.6574E-02 5.7377E-02 5.7809E-02 5.8284E-02 5.8535E-02 5.8699E-02 5.8811E-02 5.8949E-02 5.9044E-02 5.9165E-02 5.9234E-02 5.9312E-02 5.9346E-02 5.9372E-02 5.9390E-02 5.9407E-02 5.9416E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0347E-07 3.0681E-06 1.0805E-05 4.4084E-05 8.7841E-05 1.3483E-04 1.8164E-04 2.2707E-04 2.7052E-04 3.1189E-04 3.5102E-04 3.8798E-04 4.2288E-04 4.5613E-04 4.8757E-04 5.1746E-04 5.7308E-04 6.2369E-04 6.7016E-04 7.1292E-04 7.5248E-04 7.8918E-04 8.2347E-04 9.6564E-04 1.0745E-03 1.1617E-03 1.2930E-03 1.3889E-03 1.5487E-03 1.6488E-03 1.7724E-03 1.8466E-03 1.8976E-03 1.9356E-03 1.9874E-03 2.0220E-03 2.0729E-03 2.1023E-03 2.1343E-03 2.1533E-03 2.1645E-03 2.1723E-03 2.1835E-03 2.1904E-03 2.1990E-03 2.2051E-03 2.2103E-03 2.2137E-03 2.2154E-03 2.2163E-03 2.2180E-03 2.2189E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/B.mat0000644000276300001750000001642013136054446020143 0ustar solebliss00000000000000B 1 5 1.000000 1 96 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 8.0548E-01 1.0114E+02 1.1156E+00 6.9518E-01 5.8712E-01 4.2045E-01 3.1662E-01 2.5200E-01 2.0939E-01 1.5625E-01 1.2277E-01 7.3418E-02 4.7705E-02 2.4382E-02 1.4700E-02 9.7927E-03 6.9741E-03 4.0313E-03 2.6159E-03 1.1798E-03 6.6677E-04 4.2783E-04 2.9757E-04 2.1881E-04 1.6761E-04 1.3248E-04 1.0734E-04 8.8742E-05 7.4587E-05 6.3561E-05 4.7740E-05 4.1956E-05 3.7163E-05 2.9752E-05 2.6855E-05 2.5713E-05 1.7190E-05 1.5892E-05 1.3701E-05 1.1937E-05 1.0498E-05 8.3019E-06 6.7179E-06 6.4282E-06 5.5422E-06 3.9688E-06 2.9846E-06 1.6789E-06 1.0745E-06 7.4643E-07 5.4824E-07 4.1973E-07 3.3166E-07 2.6866E-07 2.2204E-07 1.8655E-07 1.5898E-07 1.3709E-07 1.1937E-07 1.0495E-07 8.2887E-08 6.7179E-08 5.5503E-08 4.6635E-08 3.9739E-08 3.4263E-08 2.9846E-08 1.6789E-08 1.0745E-08 7.4643E-09 4.1967E-09 2.6855E-09 1.1937E-09 6.7123E-10 2.9841E-10 1.6784E-10 1.0745E-10 7.4587E-11 4.1962E-11 2.6855E-11 1.1937E-11 6.7123E-12 2.9841E-12 1.6784E-12 1.0745E-12 7.4587E-13 4.1962E-13 2.6855E-13 1.1937E-13 6.7123E-14 2.9841E-14 1.6784E-14 1.0745E-14 7.4587E-15 4.1962E-15 2.6855E-15 INCOHERENT SCATTERING CROSS SECTION 1.6115E-02 2.4813E-02 5.7332E-03 3.0843E-02 4.5683E-02 7.0410E-02 8.7344E-02 9.8763E-02 1.0717E-01 1.1954E-01 1.2879E-01 1.4377E-01 1.5118E-01 1.5541E-01 1.5452E-01 1.5190E-01 1.4878E-01 1.4221E-01 1.3603E-01 1.2305E-01 1.1291E-01 1.0487E-01 9.8317E-02 9.2850E-02 8.8179E-02 8.4118E-02 8.0548E-02 7.7378E-02 7.4532E-02 7.1951E-02 6.7438E-02 6.5452E-02 6.3617E-02 6.0342E-02 5.8879E-02 5.8266E-02 5.2640E-02 5.1580E-02 4.9621E-02 4.7844E-02 4.6217E-02 4.3330E-02 4.0831E-02 4.0324E-02 3.8646E-02 3.5029E-02 3.2124E-02 2.6794E-02 2.3139E-02 2.0454E-02 1.8382E-02 1.6728E-02 1.5380E-02 1.4249E-02 1.3291E-02 1.2461E-02 1.1742E-02 1.1107E-02 1.0545E-02 1.0043E-02 9.1800E-03 8.4614E-03 7.8598E-03 7.3473E-03 6.8961E-03 6.5062E-03 6.1608E-03 4.8964E-03 4.0870E-03 3.5216E-03 2.7774E-03 2.3050E-03 1.6416E-03 1.2873E-03 9.1243E-04 7.1468E-04 5.9157E-04 5.0640E-04 3.9550E-04 3.2537E-04 2.2722E-04 1.7586E-04 1.2227E-04 9.4418E-05 7.7150E-05 6.5452E-05 5.0418E-05 4.1165E-05 2.8448E-05 2.1875E-05 1.5085E-05 1.1581E-05 9.4307E-06 7.9712E-06 6.1107E-06 4.9727E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 1.2277E+03 3.8578E+06 9.5159E+03 3.7594E+02 1.5909E+02 4.6184E+01 1.8861E+01 9.3304E+00 5.2222E+00 2.0705E+00 1.0032E+00 2.6548E-01 1.0249E-01 2.6560E-02 1.0138E-02 4.7939E-03 2.5986E-03 9.8874E-04 4.6969E-04 1.2238E-04 4.7939E-05 2.3559E-05 1.3391E-05 8.4211E-06 5.6985E-06 4.0791E-06 3.0620E-06 2.3882E-06 1.9034E-06 1.5373E-06 1.0839E-06 9.5922E-07 8.7602E-07 7.0807E-07 5.9659E-07 5.4545E-07 3.7060E-07 3.4982E-07 3.0675E-07 2.6933E-07 2.4048E-07 1.9948E-07 1.7023E-07 1.6472E-07 1.4764E-07 1.1635E-07 9.5755E-08 6.5953E-08 5.0172E-08 4.0419E-08 3.3812E-08 2.9050E-08 2.5457E-08 2.2655E-08 2.0399E-08 1.8555E-08 1.7012E-08 1.5708E-08 1.4589E-08 1.3620E-08 1.2015E-08 1.0751E-08 9.7259E-09 8.8848E-09 8.1717E-09 7.5646E-09 7.0410E-09 5.2362E-09 4.1666E-09 3.4598E-09 2.5835E-09 2.0610E-09 1.3692E-09 1.0249E-09 6.8181E-10 5.1108E-10 4.0864E-10 3.4041E-10 2.5523E-10 2.0410E-10 1.3603E-10 1.0199E-10 6.8014E-11 5.0986E-11 4.0786E-11 3.3990E-11 2.5490E-11 2.0393E-11 1.3592E-11 1.0194E-11 6.7959E-12 5.0975E-12 4.0781E-12 3.3985E-12 2.5484E-12 2.0388E-12 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1035E-05 1.7925E-05 3.6710E-05 6.1497E-05 9.1381E-05 1.6299E-04 2.4554E-04 2.6470E-04 3.3436E-04 5.1879E-04 7.0354E-04 1.1430E-03 1.5341E-03 1.8867E-03 2.2003E-03 2.4838E-03 2.7412E-03 2.9751E-03 3.1879E-03 3.3834E-03 3.5656E-03 3.7355E-03 3.8943E-03 4.0435E-03 4.3176E-03 4.5638E-03 4.7872E-03 4.9905E-03 5.1777E-03 5.3498E-03 5.5102E-03 6.1664E-03 6.6622E-03 7.0577E-03 7.6481E-03 8.0826E-03 8.8123E-03 9.2747E-03 9.8373E-03 1.0177E-02 1.0405E-02 1.0573E-02 1.0801E-02 1.0946E-02 1.1169E-02 1.1291E-02 1.1419E-02 1.1492E-02 1.1542E-02 1.1570E-02 1.1614E-02 1.1642E-02 1.1676E-02 1.1698E-02 1.1720E-02 1.1731E-02 1.1737E-02 1.1742E-02 1.1748E-02 1.1753E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0742E-07 3.1880E-06 1.1235E-05 4.5883E-05 9.1410E-05 1.4043E-04 1.8934E-04 2.3685E-04 2.8236E-04 3.2581E-04 3.6698E-04 4.0597E-04 4.4279E-04 4.7799E-04 5.1136E-04 5.4322E-04 6.0272E-04 6.5675E-04 7.0688E-04 7.5367E-04 7.9656E-04 8.3667E-04 8.7455E-04 1.0333E-03 1.1575E-03 1.2583E-03 1.4154E-03 1.5341E-03 1.7402E-03 1.8778E-03 2.0555E-03 2.1685E-03 2.2476E-03 2.3073E-03 2.3919E-03 2.4493E-03 2.5362E-03 2.5869E-03 2.6426E-03 2.6755E-03 2.6955E-03 2.7100E-03 2.7295E-03 2.7417E-03 2.7585E-03 2.7685E-03 2.7779E-03 2.7841E-03 2.7874E-03 2.7896E-03 2.7924E-03 2.7941E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Xe.mat0000644000276300001750000002016613136054446020340 0ustar solebliss00000000000000Xenon 1 54 1.000000 6 4 6 3 3 8 83 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.1490E-03 1.1490E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 4.7822E-03 4.7822E-03 5.0000E-03 5.1037E-03 5.1037E-03 5.2754E-03 5.4528E-03 5.4528E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 3.4561E-02 3.4561E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 8.4582E+00 1.0786E+02 9.7206E+00 8.3252E+00 8.3252E+00 7.9995E+00 7.4812E+00 6.4813E+00 5.6373E+00 5.0869E+00 5.0869E+00 4.9447E+00 4.8805E+00 4.8805E+00 4.7754E+00 4.6695E+00 4.6695E+00 4.3681E+00 3.4645E+00 2.8145E+00 1.8522E+00 1.3224E+00 7.5454E-01 6.1189E-01 6.1189E-01 4.9126E-01 3.4920E-01 2.6099E-01 1.6077E-01 1.0889E-01 5.2979E-02 3.1356E-02 2.0677E-02 2.0677E-02 1.4641E-02 8.4353E-03 6.7150E-03 5.4722E-03 4.5463E-03 3.8369E-03 3.2807E-03 2.4767E-03 2.1811E-03 1.9354E-03 1.5539E-03 1.4040E-03 1.3449E-03 9.0224E-04 8.3464E-04 7.2035E-04 6.2795E-04 5.5218E-04 4.3661E-04 3.5397E-04 3.3897E-04 2.9280E-04 2.0978E-04 1.5761E-04 8.8711E-05 5.6786E-05 3.9443E-05 2.8980E-05 2.2191E-05 1.7536E-05 1.4201E-05 1.1738E-05 9.8618E-06 8.4032E-06 7.2473E-06 6.3116E-06 5.5501E-06 4.3842E-06 3.5512E-06 2.9347E-06 2.4659E-06 2.1013E-06 1.8118E-06 1.5784E-06 8.8802E-07 5.6832E-07 3.9456E-07 2.2196E-07 1.4206E-07 6.3116E-08 3.5507E-08 1.5784E-08 8.8756E-09 5.6832E-09 3.9456E-09 2.2191E-09 1.4206E-09 6.3116E-10 3.5507E-10 1.5784E-10 8.8756E-11 5.6832E-11 3.9456E-11 2.2191E-11 1.4206E-11 6.3116E-12 3.5507E-12 1.5784E-12 8.8756E-13 5.6832E-13 3.9456E-13 2.2191E-13 1.4206E-13 INCOHERENT SCATTERING CROSS SECTION 4.4167E-03 2.2491E-01 1.6853E-03 5.5823E-03 5.5823E-03 8.5225E-03 1.2848E-02 2.1228E-02 2.8737E-02 3.3833E-02 3.3833E-02 3.5154E-02 3.5769E-02 3.5769E-02 3.6765E-02 3.7769E-02 3.7769E-02 4.0713E-02 5.0272E-02 5.8483E-02 7.4399E-02 8.4858E-02 9.7288E-02 1.0077E-01 1.0077E-01 1.0385E-01 1.0733E-01 1.0908E-01 1.0963E-01 1.0811E-01 1.0192E-01 9.5545E-02 8.9885E-02 8.9885E-02 8.4949E-02 7.6876E-02 7.3575E-02 7.0638E-02 6.7993E-02 6.5593E-02 6.3401E-02 5.9545E-02 5.7841E-02 5.6262E-02 5.3410E-02 5.2107E-02 5.1557E-02 4.6649E-02 4.5725E-02 4.4007E-02 4.2438E-02 4.0999E-02 3.8447E-02 3.6246E-02 3.5801E-02 3.4324E-02 3.1120E-02 2.8540E-02 2.3811E-02 2.0568E-02 1.8182E-02 1.6343E-02 1.4875E-02 1.3674E-02 1.2669E-02 1.1816E-02 1.1082E-02 1.0440E-02 9.8756E-03 9.3756E-03 8.9307E-03 8.1601E-03 7.5271E-03 6.9904E-03 6.5317E-03 6.1327E-03 5.7887E-03 5.4813E-03 4.3543E-03 3.6347E-03 3.1319E-03 2.4700E-03 2.0499E-03 1.4600E-03 1.1444E-03 8.1142E-04 6.3529E-04 5.2612E-04 4.5034E-04 3.5172E-04 2.8934E-04 2.0210E-04 1.5641E-04 1.0876E-04 8.3940E-05 6.8620E-05 5.8208E-05 4.4842E-05 3.6608E-05 2.5301E-05 1.9453E-05 1.3417E-05 1.0298E-05 8.3848E-06 7.0913E-06 5.4355E-06 4.4227E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 9.4031E+03 1.1643E+06 4.0117E+04 7.0317E+03 7.3344E+03 4.0768E+03 2.0802E+03 7.7152E+02 3.7301E+02 2.3572E+02 6.8895E+02 6.3437E+02 5.9951E+02 8.1326E+02 7.5146E+02 6.9446E+02 8.0179E+02 6.3299E+02 2.9975E+02 1.6618E+02 5.5501E+01 2.5104E+01 8.0775E+00 5.4171E+00 3.2443E+01 2.2109E+01 1.2270E+01 7.4537E+00 3.3627E+00 1.7935E+00 5.6511E-01 2.4902E-01 1.3274E-01 1.3274E-01 8.0087E-02 3.6989E-02 2.7256E-02 2.0884E-02 1.6514E-02 1.3385E-02 1.1067E-02 7.9796E-03 6.9400E-03 6.1174E-03 4.8533E-03 4.3351E-03 4.1259E-03 2.7824E-03 2.5891E-03 2.2586E-03 1.9912E-03 1.7739E-03 1.4457E-03 1.2114E-03 1.1687E-03 1.0371E-03 7.9727E-04 6.4217E-04 4.2502E-04 3.1416E-04 2.4783E-04 2.0403E-04 1.7306E-04 1.5013E-04 1.3242E-04 1.1843E-04 1.0706E-04 9.7655E-05 8.9720E-05 8.3023E-05 7.7197E-05 6.7703E-05 6.0318E-05 5.4355E-05 4.9447E-05 4.5351E-05 4.1883E-05 3.8906E-05 2.8696E-05 2.2723E-05 1.8806E-05 1.3985E-05 1.1132E-05 7.3711E-06 5.5089E-06 3.6590E-06 2.7393E-06 2.1893E-06 1.8228E-06 1.3660E-06 1.0921E-06 7.2748E-07 5.4538E-07 3.6356E-07 2.7265E-07 2.1811E-07 1.8173E-07 1.3628E-07 1.0903E-07 7.2656E-08 5.4492E-08 3.6333E-08 2.7251E-08 2.1802E-08 1.8169E-08 1.3623E-08 1.0898E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.9141E-04 2.9692E-04 5.6242E-04 8.8527E-04 1.2518E-03 2.0757E-03 2.9714E-03 3.1732E-03 3.8919E-03 5.7138E-03 7.4583E-03 1.1408E-02 1.4811E-02 1.7742E-02 2.0347E-02 2.2691E-02 2.4820E-02 2.6769E-02 2.8567E-02 3.0228E-02 3.1783E-02 3.3209E-02 3.4535E-02 3.5759E-02 3.7993E-02 3.9993E-02 4.1810E-02 4.3461E-02 4.4965E-02 4.6328E-02 4.7612E-02 5.2749E-02 5.6602E-02 5.9584E-02 6.3987E-02 6.7106E-02 7.2060E-02 7.5042E-02 7.8528E-02 8.0500E-02 8.1830E-02 8.2748E-02 8.3986E-02 8.4812E-02 8.6004E-02 8.6646E-02 8.7335E-02 8.7701E-02 8.7931E-02 8.8114E-02 8.8298E-02 8.8435E-02 8.8619E-02 8.8711E-02 8.8848E-02 8.8894E-02 8.8940E-02 8.8940E-02 8.8986E-02 8.8986E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 9.5596E-08 2.8342E-06 9.9811E-06 4.0704E-05 8.1005E-05 1.2430E-04 1.6738E-04 2.0907E-04 2.4893E-04 2.8677E-04 3.2260E-04 3.5631E-04 3.8810E-04 4.1833E-04 4.4690E-04 4.7383E-04 5.2428E-04 5.7015E-04 6.1189E-04 6.5042E-04 6.8574E-04 7.1831E-04 7.4904E-04 8.7518E-04 9.7105E-04 1.0467E-03 1.1609E-03 1.2440E-03 1.3811E-03 1.4673E-03 1.5724E-03 1.6357E-03 1.6788E-03 1.7105E-03 1.7540E-03 1.7829E-03 1.8256E-03 1.8499E-03 1.8765E-03 1.8916E-03 1.9013E-03 1.9077E-03 1.9169E-03 1.9224E-03 1.9297E-03 1.9343E-03 1.9384E-03 1.9412E-03 1.9426E-03 1.9439E-03 1.9448E-03 1.9458E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Gd.mat0000644000276300001750000002174213136054446020317 0ustar solebliss00000000000000Gd 1 64 1.000000 10 4 3 3 3 3 7 3 3 8 81 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.1852E-03 1.1852E-03 1.2011E-03 1.2172E-03 1.2172E-03 1.5000E-03 1.5440E-03 1.5440E-03 1.6145E-03 1.6883E-03 1.6883E-03 1.7820E-03 1.8808E-03 1.8808E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 7.2428E-03 7.2428E-03 7.5788E-03 7.9303E-03 7.9303E-03 8.0000E-03 8.3756E-03 8.3756E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 5.0239E-02 5.0239E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 9.8767E+00 9.0168E+02 1.1901E+01 9.6929E+00 9.6929E+00 9.6757E+00 9.6584E+00 9.6584E+00 9.3750E+00 9.3290E+00 9.3290E+00 9.2537E+00 9.1759E+00 9.1759E+00 9.0811E+00 8.9805E+00 8.9805E+00 8.8542E+00 7.8470E+00 6.9202E+00 6.1083E+00 5.4190E+00 4.7028E+00 4.7028E+00 4.5283E+00 4.3620E+00 4.3620E+00 4.3313E+00 4.1628E+00 4.1628E+00 3.5294E+00 2.2905E+00 1.6379E+00 9.6392E-01 6.2806E-01 4.4501E-01 4.4194E-01 4.4194E-01 3.3448E-01 2.0902E-01 1.4239E-01 6.9393E-02 4.1284E-02 2.7365E-02 1.9451E-02 1.4526E-02 1.1255E-02 8.9740E-03 7.3223E-03 6.0892E-03 5.1432E-03 4.4010E-03 3.3268E-03 2.9312E-03 2.6021E-03 2.0907E-03 1.8899E-03 1.8107E-03 1.2163E-03 1.1253E-03 9.7149E-04 8.4712E-04 7.4517E-04 5.8954E-04 4.7794E-04 4.5764E-04 3.9524E-04 2.8332E-04 2.1301E-04 1.1994E-04 7.6785E-05 5.3347E-05 3.9177E-05 3.0009E-05 2.3713E-05 1.9210E-05 1.5874E-05 1.3339E-05 1.1366E-05 9.8001E-06 8.5363E-06 7.5061E-06 5.9283E-06 4.8024E-06 3.9675E-06 3.3352E-06 2.8420E-06 2.4506E-06 2.1347E-06 1.2006E-06 7.6861E-07 5.3385E-07 3.0021E-07 1.9213E-07 8.5401E-08 4.8024E-08 2.1347E-08 1.2006E-08 7.6861E-09 5.3347E-09 3.0017E-09 1.9210E-09 8.5401E-10 4.8024E-10 2.1347E-10 1.2006E-10 7.6861E-11 5.3347E-11 3.0017E-11 1.9210E-11 8.5401E-12 4.8024E-12 2.1347E-12 1.2006E-12 7.6861E-13 5.3347E-13 3.0017E-13 1.9210E-13 INCOHERENT SCATTERING CROSS SECTION 5.6258E-03 2.3632E+00 2.8787E-03 7.0198E-03 7.0198E-03 7.1381E-03 7.2572E-03 7.2572E-03 9.2793E-03 9.5971E-03 9.5971E-03 1.0103E-02 1.0623E-02 1.0623E-02 1.1273E-02 1.1956E-02 1.1956E-02 1.2791E-02 1.9608E-02 2.5965E-02 3.1801E-02 3.7056E-02 4.2816E-02 4.2816E-02 4.4288E-02 4.5726E-02 4.5726E-02 4.5994E-02 4.7488E-02 4.7488E-02 5.3462E-02 6.8244E-02 7.9082E-02 9.2333E-02 9.9303E-02 1.0309E-01 1.0317E-01 1.0317E-01 1.0509E-01 1.0612E-01 1.0512E-01 9.9648E-02 9.3673E-02 8.8264E-02 8.3525E-02 7.9386E-02 7.5751E-02 7.2534E-02 6.9661E-02 6.7075E-02 6.4721E-02 6.2565E-02 5.8787E-02 5.7138E-02 5.5625E-02 5.2839E-02 5.1509E-02 5.0934E-02 4.6109E-02 4.5211E-02 4.3523E-02 4.1973E-02 4.0550E-02 3.8027E-02 3.5849E-02 3.5409E-02 3.3948E-02 3.0781E-02 2.8232E-02 2.3560E-02 2.0351E-02 1.7988E-02 1.6169E-02 1.4717E-02 1.3530E-02 1.2534E-02 1.1692E-02 1.0964E-02 1.0329E-02 9.7733E-03 9.2793E-03 8.8350E-03 8.0767E-03 7.4487E-03 6.9164E-03 6.4645E-03 6.0700E-03 5.7253E-03 5.4228E-03 4.3084E-03 3.5968E-03 3.0990E-03 2.4441E-03 2.0286E-03 1.4445E-03 1.1328E-03 8.0270E-04 6.2883E-04 5.2045E-04 4.4577E-04 3.4804E-04 2.8634E-04 1.9995E-04 1.5476E-04 1.0761E-04 8.3065E-05 6.7900E-05 5.7598E-05 4.4386E-05 3.6229E-05 2.5034E-05 1.9248E-05 1.3274E-05 1.0191E-05 8.2989E-06 7.0159E-06 5.3807E-06 4.3773E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.2813E+03 1.7055E+05 8.3599E+03 1.6594E+03 1.8340E+03 2.7082E+03 3.9867E+03 4.8062E+03 5.0322E+03 4.6913E+03 5.4228E+03 4.8909E+03 4.4118E+03 4.6837E+03 4.1535E+03 3.6826E+03 3.8450E+03 3.3510E+03 1.2841E+03 6.3113E+02 3.5918E+02 2.2507E+02 1.3810E+02 3.7963E+02 3.3775E+02 3.0051E+02 4.1016E+02 4.0250E+02 3.5892E+02 4.1475E+02 2.6570E+02 9.0993E+01 4.1896E+01 1.3783E+01 6.1926E+00 3.3115E+00 3.2671E+00 1.8091E+01 1.1313E+01 5.2581E+00 2.8619E+00 9.3099E-01 4.1858E-01 2.2630E-01 1.3802E-01 9.1636E-02 6.4759E-02 4.8001E-02 3.6945E-02 2.9313E-02 2.3843E-02 1.9798E-02 1.4341E-02 1.2454E-02 1.0936E-02 8.6650E-03 7.8010E-03 7.4640E-03 5.0322E-03 4.6738E-03 4.0743E-03 3.5941E-03 3.2022E-03 2.6064E-03 2.1806E-03 2.1032E-03 1.8645E-03 1.4299E-03 1.1493E-03 7.5751E-04 5.5798E-04 4.3888E-04 3.6064E-04 3.0542E-04 2.6455E-04 2.3311E-04 2.0826E-04 1.8811E-04 1.7145E-04 1.5748E-04 1.4557E-04 1.3534E-04 1.1860E-04 1.0555E-04 9.5052E-05 8.6435E-05 7.9236E-05 7.3146E-05 6.7938E-05 5.0054E-05 3.9599E-05 3.2767E-05 2.4349E-05 1.9374E-05 1.2818E-05 9.5780E-06 6.3611E-06 4.7641E-06 3.8055E-06 3.1687E-06 2.3744E-06 1.8984E-06 1.2646E-06 9.4822E-07 6.3189E-07 4.7373E-07 3.7898E-07 3.1579E-07 2.3683E-07 1.8945E-07 1.2630E-07 9.4707E-08 6.3151E-08 4.7373E-08 3.7883E-08 3.1572E-08 2.3679E-08 1.8941E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5379E-04 3.9455E-04 7.4797E-04 1.1734E-03 1.6479E-03 2.6832E-03 3.7741E-03 4.0173E-03 4.8768E-03 7.0211E-03 9.0418E-03 1.3542E-02 1.7375E-02 2.0676E-02 2.3591E-02 2.6210E-02 2.8592E-02 3.0775E-02 3.2793E-02 3.4662E-02 3.6416E-02 3.8036E-02 3.9560E-02 4.0939E-02 4.3467E-02 4.5726E-02 4.7794E-02 4.9632E-02 5.1356E-02 5.2888E-02 5.4343E-02 6.0202E-02 6.4530E-02 6.7938E-02 7.2917E-02 7.6440E-02 8.2070E-02 8.5401E-02 8.9269E-02 9.1529E-02 9.2984E-02 9.4018E-02 9.5397E-02 9.6316E-02 9.7618E-02 9.8346E-02 9.9112E-02 9.9494E-02 9.9763E-02 9.9954E-02 1.0018E-01 1.0034E-01 1.0053E-01 1.0064E-01 1.0076E-01 1.0083E-01 1.0087E-01 1.0091E-01 1.0091E-01 1.0095E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4501E-08 2.8022E-06 9.8690E-06 4.0250E-05 8.0078E-05 1.2282E-04 1.6533E-04 2.0646E-04 2.4575E-04 2.8305E-04 3.1828E-04 3.5149E-04 3.8274E-04 4.1245E-04 4.4041E-04 4.6722E-04 5.1662E-04 5.6143E-04 6.0240E-04 6.3994E-04 6.7479E-04 7.0657E-04 7.3644E-04 8.5976E-04 9.5244E-04 1.0260E-03 1.1363E-03 1.2159E-03 1.3473E-03 1.4292E-03 1.5296E-03 1.5893E-03 1.6303E-03 1.6602E-03 1.7015E-03 1.7291E-03 1.7705E-03 1.7938E-03 1.8195E-03 1.8344E-03 1.8436E-03 1.8501E-03 1.8589E-03 1.8643E-03 1.8719E-03 1.8761E-03 1.8804E-03 1.8830E-03 1.8846E-03 1.8857E-03 1.8869E-03 1.8876E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Na.mat0000644000276300001750000001666213136054446020330 0ustar solebliss00000000000000Sodium 1 11 1.000000 2 4 94 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0721E-03 1.0721E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.9190E+00 1.0167E+03 2.5146E+00 1.8978E+00 1.8978E+00 1.7747E+00 1.6414E+00 1.4027E+00 1.1851E+00 9.9252E-01 8.3064E-01 5.9305E-01 4.4086E-01 2.4702E-01 1.6123E-01 8.5972E-02 5.3254E-02 3.6070E-02 2.5998E-02 1.5327E-02 1.0090E-02 4.6417E-03 2.6483E-03 1.7078E-03 1.1911E-03 8.7722E-04 6.7268E-04 5.3214E-04 4.3143E-04 3.5678E-04 2.9993E-04 2.5564E-04 1.9211E-04 1.6888E-04 1.4963E-04 1.1982E-04 1.0813E-04 1.0352E-04 6.9233E-05 6.4014E-05 5.5200E-05 4.8094E-05 4.2284E-05 3.3425E-05 2.7059E-05 2.5899E-05 2.2342E-05 1.5997E-05 1.2023E-05 6.7635E-06 4.3300E-06 3.0072E-06 2.2088E-06 1.6911E-06 1.3362E-06 1.0824E-06 8.9455E-07 7.5153E-07 6.4046E-07 5.5219E-07 4.8094E-07 4.2279E-07 3.3398E-07 2.7059E-07 2.2360E-07 1.8790E-07 1.6010E-07 1.3805E-07 1.2026E-07 6.7635E-08 4.3300E-08 3.0072E-08 1.6909E-08 1.0821E-08 4.8094E-09 2.7059E-09 1.2023E-09 6.7635E-10 4.3274E-10 3.0072E-10 1.6909E-10 1.0821E-10 4.8094E-11 2.7059E-11 1.2023E-11 6.7635E-12 4.3274E-12 3.0072E-12 1.6909E-12 1.0821E-12 4.8094E-13 2.7059E-13 1.2023E-13 6.7635E-14 4.3274E-14 3.0072E-14 1.6909E-14 1.0821E-14 INCOHERENT SCATTERING CROSS SECTION 1.2699E-02 1.6252E+09 1.1616E-02 1.3841E-02 1.3841E-02 1.9942E-02 2.6378E-02 3.9476E-02 5.2835E-02 6.5566E-02 7.7170E-02 9.6240E-02 1.1010E-01 1.3001E-01 1.3975E-01 1.4842E-01 1.5091E-01 1.5059E-01 1.4892E-01 1.4399E-01 1.3860E-01 1.2623E-01 1.1623E-01 1.0813E-01 1.0145E-01 9.5847E-02 9.1053E-02 8.6890E-02 8.3221E-02 7.9952E-02 7.7013E-02 7.4353E-02 6.9720E-02 6.7688E-02 6.5811E-02 6.2425E-02 6.0877E-02 6.0222E-02 5.4433E-02 5.3347E-02 5.1324E-02 4.9482E-02 4.7797E-02 4.4810E-02 4.2226E-02 4.1702E-02 3.9971E-02 3.6241E-02 3.3241E-02 2.7714E-02 2.3937E-02 2.1158E-02 1.9017E-02 1.7307E-02 1.5908E-02 1.4740E-02 1.3750E-02 1.2893E-02 1.2147E-02 1.1492E-02 1.0910E-02 1.0389E-02 9.4956E-03 8.7569E-03 8.1335E-03 7.5991E-03 7.1355E-03 6.7321E-03 6.3758E-03 5.0661E-03 4.2279E-03 3.6437E-03 2.8736E-03 2.3848E-03 1.6982E-03 1.3315E-03 9.4380E-04 7.3922E-04 6.1191E-04 5.2390E-04 4.0916E-04 3.3660E-04 2.3507E-04 1.8195E-04 1.2652E-04 9.7654E-05 7.9842E-05 6.7714E-05 5.2154E-05 4.2593E-05 2.9443E-05 2.2627E-05 1.5604E-05 1.1982E-05 9.7550E-06 8.2461E-06 6.3234E-06 5.1447E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.5225E+02 3.2039E+05 4.2126E+03 5.4119E+02 6.4335E+03 3.1932E+03 1.5190E+03 5.0556E+02 2.2491E+02 1.1830E+02 6.9390E+01 2.9495E+01 1.5023E+01 4.3169E+00 1.7564E+00 4.8539E-01 1.9274E-01 9.3699E-02 5.1866E-02 2.0325E-02 9.8257E-03 2.6378E-03 1.0525E-03 5.2331E-04 2.9993E-04 1.8987E-04 1.2922E-04 9.2931E-05 6.9888E-05 5.4486E-05 4.3588E-05 3.5563E-05 2.5259E-05 2.2032E-05 1.9603E-05 1.5616E-05 1.3695E-05 1.2872E-05 8.7307E-06 8.1717E-06 7.1628E-06 6.3287E-06 5.6623E-06 4.6726E-06 3.9633E-06 3.8323E-06 3.4272E-06 2.6859E-06 2.2004E-06 1.5044E-06 1.1379E-06 9.1315E-07 7.6175E-07 6.5304E-07 5.7131E-07 5.0739E-07 4.5658E-07 4.1466E-07 3.8009E-07 3.5049E-07 3.2534E-07 3.0360E-07 2.6745E-07 2.3921E-07 2.1629E-07 1.9738E-07 1.8148E-07 1.6796E-07 1.5630E-07 1.1604E-07 9.2284E-08 7.6594E-08 5.7157E-08 4.5579E-08 3.0255E-08 2.2648E-08 1.5067E-08 1.1287E-08 9.0241E-09 7.5179E-09 5.6345E-09 4.5081E-09 3.0046E-09 2.2520E-09 1.5010E-09 1.1256E-09 9.0058E-10 7.5048E-10 5.6267E-10 4.5029E-10 3.0019E-10 2.2509E-10 1.5004E-10 1.1253E-10 9.0032E-11 7.5022E-11 5.6267E-11 4.5003E-11 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 2.5852E-05 4.1838E-05 8.5179E-05 1.4211E-04 2.1059E-04 3.7459E-04 5.6398E-04 6.0798E-04 7.6771E-04 1.1887E-03 1.6081E-03 2.6043E-03 3.4918E-03 4.2855E-03 4.9927E-03 5.6319E-03 6.2082E-03 6.7347E-03 7.2114E-03 7.6489E-03 8.0549E-03 8.4321E-03 8.7858E-03 9.1158E-03 9.7235E-03 1.0268E-02 1.0761E-02 1.1209E-02 1.1617E-02 1.1997E-02 1.2348E-02 1.3789E-02 1.4876E-02 1.5738E-02 1.7032E-02 1.7964E-02 1.9473E-02 2.0390E-02 2.1467E-02 2.2093E-02 2.2507E-02 2.2803E-02 2.3201E-02 2.3460E-02 2.3835E-02 2.4042E-02 2.4264E-02 2.4385E-02 2.4461E-02 2.4513E-02 2.4581E-02 2.4623E-02 2.4686E-02 2.4717E-02 2.4752E-02 2.4770E-02 2.4780E-02 2.4788E-02 2.4799E-02 2.4804E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.1120E-07 3.2993E-06 1.1625E-05 4.7465E-05 9.4590E-05 1.4528E-04 1.9586E-04 2.4500E-04 2.9207E-04 3.3687E-04 3.7956E-04 4.1990E-04 4.5789E-04 4.9404E-04 5.2861E-04 5.6136E-04 6.2239E-04 6.7818E-04 7.2953E-04 7.7694E-04 8.2121E-04 8.6207E-04 9.0058E-04 1.0617E-03 1.1866E-03 1.2875E-03 1.4431E-03 1.5591E-03 1.7558E-03 1.8824E-03 2.0406E-03 2.1375E-03 2.2046E-03 2.2541E-03 2.3235E-03 2.3701E-03 2.4406E-03 2.4812E-03 2.5260E-03 2.5524E-03 2.5689E-03 2.5805E-03 2.5959E-03 2.6056E-03 2.6192E-03 2.6273E-03 2.6352E-03 2.6404E-03 2.6431E-03 2.6431E-03 2.6457E-03 2.6483E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Pd.mat0000644000276300001750000002005013136054446020317 0ustar solebliss00000000000000Pd 1 46 1.000000 5 7 3 3 9 84 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 3.1733E-03 3.1733E-03 3.2509E-03 3.3303E-03 3.3303E-03 3.4646E-03 3.6043E-03 3.6043E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 2.4350E-02 2.4350E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 7.6338E+00 4.9181E+01 8.5426E+00 7.2716E+00 6.8415E+00 5.9418E+00 5.7890E+00 5.7890E+00 5.7229E+00 5.6560E+00 5.6560E+00 5.5434E+00 5.4280E+00 5.4280E+00 5.1162E+00 4.4229E+00 3.8605E+00 3.0405E+00 2.4797E+00 1.6179E+00 1.1176E+00 8.5222E-01 8.5222E-01 6.2813E-01 4.1038E-01 2.8917E-01 2.1385E-01 1.3055E-01 8.8334E-02 4.2854E-02 2.5216E-02 1.6556E-02 1.1691E-02 8.6944E-03 6.7170E-03 5.3430E-03 4.3505E-03 3.6107E-03 3.0445E-03 2.6012E-03 1.9619E-03 1.7271E-03 1.5320E-03 1.2292E-03 1.1103E-03 1.0633E-03 7.1301E-04 6.5948E-04 5.6891E-04 4.9577E-04 4.3592E-04 3.4472E-04 2.7938E-04 2.6749E-04 2.3096E-04 1.6546E-04 1.2432E-04 6.9943E-05 4.4784E-05 3.1107E-05 2.2856E-05 1.7497E-05 1.3825E-05 1.1199E-05 9.2579E-06 7.7752E-06 6.6265E-06 5.7154E-06 4.9775E-06 4.3748E-06 3.4570E-06 2.8000E-06 2.3139E-06 1.9444E-06 1.6569E-06 1.4289E-06 1.2444E-06 7.0000E-07 4.4801E-07 3.1112E-07 1.7503E-07 1.1199E-07 4.9775E-08 2.8000E-08 1.2444E-08 7.0000E-09 4.4801E-09 3.1112E-09 1.7497E-09 1.1199E-09 4.9775E-10 2.8000E-10 1.2444E-10 7.0000E-11 4.4801E-11 3.1112E-11 1.7497E-11 1.1199E-11 4.9775E-12 2.8000E-12 1.2444E-12 7.0000E-13 4.4801E-13 3.1112E-13 1.7497E-13 1.1199E-13 INCOHERENT SCATTERING CROSS SECTION 4.2702E-03 3.1558E-03 1.4164E-03 8.4656E-03 1.2981E-02 2.1549E-02 2.2913E-02 2.2913E-02 2.3518E-02 2.4135E-02 2.4135E-02 2.5167E-02 2.6229E-02 2.6229E-02 2.9177E-02 3.6188E-02 4.2741E-02 5.4393E-02 6.3945E-02 8.0808E-02 9.1899E-02 9.8803E-02 9.8803E-02 1.0525E-01 1.1221E-01 1.1572E-01 1.1731E-01 1.1731E-01 1.1533E-01 1.0820E-01 1.0118E-01 9.5011E-02 8.9693E-02 8.5099E-02 8.1091E-02 7.7558E-02 7.4414E-02 7.1592E-02 6.9038E-02 6.6711E-02 6.2631E-02 6.0833E-02 5.9170E-02 5.6172E-02 5.4806E-02 5.4229E-02 4.9062E-02 4.8087E-02 4.6273E-02 4.4620E-02 4.3107E-02 4.0425E-02 3.8107E-02 3.7637E-02 3.6079E-02 3.2708E-02 2.9998E-02 2.5029E-02 2.1617E-02 1.9110E-02 1.7175E-02 1.5630E-02 1.4368E-02 1.3315E-02 1.2421E-02 1.1646E-02 1.0972E-02 1.0378E-02 9.8577E-03 9.3824E-03 8.5788E-03 7.9111E-03 7.3452E-03 6.8642E-03 6.4454E-03 6.0833E-03 5.7607E-03 4.5763E-03 3.8197E-03 3.2912E-03 2.5957E-03 2.1543E-03 1.5341E-03 1.2031E-03 8.5279E-04 6.6774E-04 5.5276E-04 4.7325E-04 3.6964E-04 3.0411E-04 2.1238E-04 1.6439E-04 1.1431E-04 8.8221E-05 7.2150E-05 6.1172E-05 4.7121E-05 3.8474E-05 2.6591E-05 2.0440E-05 1.4096E-05 1.0825E-05 8.8165E-06 7.4527E-06 5.7154E-06 4.6476E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.5303E+03 1.2970E+06 3.2114E+04 2.5714E+03 1.2851E+03 4.6697E+02 4.0489E+02 1.3496E+03 1.2777E+03 1.2099E+03 1.6586E+03 1.5098E+03 1.3740E+03 1.5766E+03 1.2217E+03 6.8698E+02 4.2685E+02 1.9863E+02 1.0848E+02 3.5447E+01 1.5833E+01 9.0768E+00 5.8060E+01 3.3913E+01 1.5613E+01 8.4430E+00 5.0675E+00 2.2324E+00 1.1731E+00 3.6047E-01 1.5635E-01 8.2393E-02 4.9266E-02 3.2191E-02 2.2460E-02 1.6480E-02 1.2585E-02 9.9239E-03 8.0242E-03 6.6215E-03 4.7598E-03 4.1355E-03 3.6428E-03 2.8880E-03 2.5793E-03 2.4548E-03 1.6563E-03 1.5418E-03 1.3461E-03 1.1878E-03 1.0590E-03 8.6395E-04 7.2433E-04 6.9887E-04 6.2042E-04 4.7807E-04 3.8605E-04 2.5663E-04 1.9025E-04 1.5041E-04 1.2404E-04 1.0542E-04 9.1503E-05 8.0808E-05 7.2320E-05 6.5416E-05 5.9757E-05 5.4930E-05 5.0833E-05 4.7302E-05 4.1519E-05 3.6992E-05 3.3353E-05 3.0360E-05 2.7858E-05 2.5736E-05 2.3914E-05 1.7656E-05 1.3989E-05 1.1584E-05 8.6184E-06 6.8585E-06 4.5446E-06 3.3970E-06 2.2573E-06 1.6903E-06 1.3508E-06 1.1250E-06 8.4317E-07 6.7397E-07 4.4909E-07 3.3670E-07 2.2443E-07 1.6829E-07 1.3462E-07 1.1216E-07 8.4090E-08 6.7284E-08 4.4858E-08 3.3642E-08 2.2426E-08 1.6818E-08 1.3457E-08 1.1216E-08 8.4090E-09 6.7284E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.5352E-04 2.3863E-04 4.5431E-04 7.1980E-04 1.0258E-03 1.7291E-03 2.5086E-03 2.6851E-03 3.3178E-03 4.9457E-03 6.5246E-03 1.0124E-02 1.3247E-02 1.5947E-02 1.8363E-02 2.0536E-02 2.2505E-02 2.4310E-02 2.5974E-02 2.7502E-02 2.8922E-02 3.0224E-02 3.1429E-02 3.2555E-02 3.4615E-02 3.6460E-02 3.8135E-02 3.9657E-02 4.1044E-02 4.2311E-02 4.3483E-02 4.8242E-02 5.1767E-02 5.4517E-02 5.8569E-02 6.1455E-02 6.6039E-02 6.8755E-02 7.1980E-02 7.3791E-02 7.4980E-02 7.5885E-02 7.7017E-02 7.7752E-02 7.8828E-02 7.9450E-02 8.0073E-02 8.0412E-02 8.0638E-02 8.0752E-02 8.0978E-02 8.1091E-02 8.1261E-02 8.1317E-02 8.1431E-02 8.1487E-02 8.1544E-02 8.1544E-02 8.1544E-02 8.1600E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0041E-07 2.9782E-06 1.0491E-05 4.2809E-05 8.5222E-05 1.3078E-04 1.7616E-04 2.2007E-04 2.6212E-04 3.0201E-04 3.3981E-04 3.7541E-04 4.0902E-04 4.4094E-04 4.7115E-04 4.9990E-04 5.5309E-04 6.0153E-04 6.4567E-04 6.8642E-04 7.2433E-04 7.5885E-04 7.9167E-04 9.2579E-04 1.0276E-03 1.1086E-03 1.2308E-03 1.3196E-03 1.4668E-03 1.5584E-03 1.6711E-03 1.7384E-03 1.7842E-03 1.8182E-03 1.8640E-03 1.8946E-03 1.9398E-03 1.9653E-03 1.9930E-03 2.0095E-03 2.0196E-03 2.0264E-03 2.0355E-03 2.0417E-03 2.0496E-03 2.0542E-03 2.0587E-03 2.0615E-03 2.0632E-03 2.0638E-03 2.0649E-03 2.0660E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Tc.mat0000644000276300001750000001772413136054446020340 0ustar solebliss00000000000000Tc 1 43 1.000000 5 6 3 3 9 84 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.6769E-03 2.6769E-03 2.7344E-03 2.7932E-03 2.7932E-03 3.0000E-03 3.0425E-03 3.0425E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 2.1044E-02 2.1044E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 7.1165E+00 5.0744E+01 8.1454E+00 6.6921E+00 6.2431E+00 5.6643E+00 5.6643E+00 5.6164E+00 5.5678E+00 5.5678E+00 5.4005E+00 5.3666E+00 5.3666E+00 4.6734E+00 4.0700E+00 3.5773E+00 2.8442E+00 2.3269E+00 1.4965E+00 1.0253E+00 9.5646E-01 9.5646E-01 5.7800E-01 3.7699E-01 2.6418E-01 1.9480E-01 1.1877E-01 8.0453E-02 3.8935E-02 2.2850E-02 1.4985E-02 1.0573E-02 7.8570E-03 6.0666E-03 4.8243E-03 3.9273E-03 3.2587E-03 2.7470E-03 2.3466E-03 1.7693E-03 1.5574E-03 1.3814E-03 1.1082E-03 1.0007E-03 9.5830E-04 6.4215E-04 5.9395E-04 5.1244E-04 4.4655E-04 3.9255E-04 3.1028E-04 2.5157E-04 2.4093E-04 2.0814E-04 1.4908E-04 1.1195E-04 6.2985E-05 4.0325E-05 2.8005E-05 2.0575E-05 1.5752E-05 1.2449E-05 1.0081E-05 8.3344E-06 6.9997E-06 5.9663E-06 5.1446E-06 4.4815E-06 3.9390E-06 3.1123E-06 2.5206E-06 2.0833E-06 1.7505E-06 1.4916E-06 1.2861E-06 1.1207E-06 6.3046E-07 4.0337E-07 2.8011E-07 1.5752E-07 1.0081E-07 4.4815E-08 2.5206E-08 1.1207E-08 6.3046E-09 4.0337E-09 2.8011E-09 1.5759E-09 1.0081E-09 4.4815E-10 2.5206E-10 1.1207E-10 6.3046E-11 4.0337E-11 2.8011E-11 1.5759E-11 1.0081E-11 4.4815E-12 2.5206E-12 1.1207E-12 6.3046E-13 4.0337E-13 2.8011E-13 1.5759E-13 1.0081E-13 INCOHERENT SCATTERING CROSS SECTION 7.0243E-03 2.0631E-02 2.9976E-03 1.2093E-02 1.6736E-02 2.2574E-02 2.2574E-02 2.3052E-02 2.3539E-02 2.3539E-02 2.5237E-02 2.5575E-02 2.5575E-02 3.2975E-02 4.0073E-02 4.6630E-02 5.8033E-02 6.7229E-02 8.3713E-02 9.4969E-02 9.6815E-02 9.6815E-02 1.0856E-01 1.1545E-01 1.1896E-01 1.2037E-01 1.2006E-01 1.1785E-01 1.1041E-01 1.0315E-01 9.6809E-02 9.1340E-02 8.6605E-02 8.2483E-02 7.8867E-02 7.5656E-02 7.2776E-02 7.0181E-02 6.7831E-02 6.3709E-02 6.1878E-02 6.0172E-02 5.7093E-02 5.5702E-02 5.5118E-02 4.9859E-02 4.8868E-02 4.7025E-02 4.5344E-02 4.3802E-02 4.1069E-02 3.8720E-02 3.8246E-02 3.6670E-02 3.3239E-02 3.0478E-02 2.5434E-02 2.1965E-02 1.9418E-02 1.7450E-02 1.5882E-02 1.4602E-02 1.3526E-02 1.2615E-02 1.1834E-02 1.1145E-02 1.0549E-02 1.0014E-02 9.5338E-03 8.7158E-03 8.0392E-03 7.4671E-03 6.9751E-03 6.5507E-03 6.1816E-03 5.8513E-03 4.6494E-03 3.8812E-03 3.3442E-03 2.6375E-03 2.1891E-03 1.5586E-03 1.2222E-03 8.6604E-04 6.7844E-04 5.6164E-04 4.8087E-04 3.7557E-04 3.0896E-04 2.1577E-04 1.6700E-04 1.1613E-04 8.9618E-05 7.3257E-05 6.2124E-05 4.7878E-05 3.9095E-05 2.7015E-05 2.0771E-05 1.4325E-05 1.0998E-05 8.9557E-06 7.5717E-06 5.8046E-06 4.7226E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 5.3494E+03 1.1276E+06 2.6782E+04 2.0851E+03 1.0377E+03 5.0148E+02 1.8059E+03 1.6980E+03 1.5968E+03 2.2180E+03 1.8569E+03 1.7948E+03 2.0538E+03 1.0315E+03 5.7947E+02 3.5823E+02 1.6540E+02 8.9926E+01 2.9186E+01 1.2978E+01 1.1238E+01 7.3749E+01 2.9241E+01 1.3310E+01 7.1412E+00 4.2564E+00 1.8600E+00 9.7061E-01 2.9561E-01 1.2738E-01 6.6829E-02 3.9839E-02 2.5973E-02 1.8084E-02 1.3241E-02 1.0094E-02 7.9487E-03 6.4215E-03 5.2960E-03 3.8049E-03 3.3055E-03 2.9114E-03 2.3076E-03 2.0605E-03 1.9609E-03 1.3231E-03 1.2318E-03 1.0759E-03 9.4969E-04 8.4687E-04 6.9112E-04 5.7990E-04 5.5967E-04 4.9720E-04 3.8339E-04 3.0970E-04 2.0624E-04 1.5309E-04 1.2117E-04 1.0001E-04 8.5005E-05 7.3872E-05 6.5261E-05 5.8409E-05 5.2861E-05 4.8260E-05 4.4385E-05 4.1088E-05 3.8240E-05 3.3578E-05 2.9924E-05 2.6978E-05 2.4567E-05 2.2543E-05 2.0827E-05 1.9357E-05 1.4295E-05 1.1330E-05 9.3862E-06 6.9812E-06 5.5598E-06 3.6831E-06 2.7537E-06 1.8299E-06 1.3704E-06 1.0949E-06 9.1217E-07 6.8336E-07 5.4650E-07 3.6413E-07 2.7298E-07 1.8194E-07 1.3643E-07 1.0912E-07 9.0910E-08 6.8213E-08 5.4558E-08 3.6370E-08 2.7273E-08 1.8182E-08 1.3636E-08 1.0912E-08 9.0910E-09 6.8213E-09 5.4546E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3962E-04 2.1758E-04 4.1609E-04 6.6183E-04 9.4647E-04 1.6044E-03 2.3367E-03 2.5028E-03 3.0992E-03 4.6419E-03 6.1447E-03 9.5769E-03 1.2572E-02 1.5168E-02 1.7493E-02 1.9578E-02 2.1479E-02 2.3213E-02 2.4806E-02 2.6270E-02 2.7624E-02 2.8866E-02 3.0016E-02 3.1099E-02 3.3073E-02 3.4845E-02 3.6456E-02 3.7914E-02 3.9249E-02 4.0473E-02 4.1598E-02 4.6168E-02 4.9557E-02 5.2190E-02 5.6090E-02 5.8858E-02 6.3292E-02 6.5876E-02 6.8951E-02 7.0735E-02 7.1904E-02 7.2765E-02 7.3872E-02 7.4548E-02 7.5594E-02 7.6209E-02 7.6824E-02 7.7132E-02 7.7316E-02 7.7501E-02 7.7685E-02 7.7808E-02 7.7931E-02 7.8054E-02 7.8116E-02 7.8177E-02 7.8239E-02 7.8239E-02 7.8239E-02 7.8300E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0210E-07 3.0279E-06 1.0666E-05 4.3511E-05 8.6604E-05 1.3292E-04 1.7905E-04 2.2377E-04 2.6652E-04 3.0711E-04 3.4556E-04 3.8185E-04 4.1598E-04 4.4852E-04 4.7934E-04 5.0855E-04 5.6280E-04 6.1213E-04 6.5753E-04 6.9874E-04 7.3749E-04 7.7255E-04 8.0576E-04 9.4293E-04 1.0475E-03 1.1299E-03 1.2548E-03 1.3458E-03 1.4971E-03 1.5925E-03 1.7093E-03 1.7794E-03 1.8280E-03 1.8637E-03 1.9129E-03 1.9455E-03 1.9947E-03 2.0230E-03 2.0538E-03 2.0716E-03 2.0827E-03 2.0907E-03 2.1011E-03 2.1079E-03 2.1165E-03 2.1220E-03 2.1270E-03 2.1300E-03 2.1319E-03 2.1331E-03 2.1343E-03 2.1356E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/MATERIALS.DICT0000644000276300001750000000235313136054446021245 0ustar solebliss00000000000000[Air] Comment = Dry Air (Near sea level) density=0.001204790 g/cm3 CompoundList = C1, N1, O1, Ar1, Kr1 CompoundFraction = 0.0001240, 0.755267, 0.231780, 0.012827, 3.2E-6 Density = 0.001204790 Thickness = 1.0 [Goethite] Comment = Mineral FeO(OH) density from 3.3 to 4.3 density=4.3 g/cm3 CompoundList = Fe1O2H1 CompoundFraction = 1.0 Density = 4.3 Thickness = 0.1 [Mylar] Comment = Mylar (Polyethylene Terephthalate) density=1.40 g/cm3 CompoundList = H1, C1, O1 CompoundFraction = 0.0419590, 0.625017, 0.333025 Density = 1.40 [Kapton] Comment = Kapton 100 HN 25 micron density=1.42 g/cm3 CompoundList = C1, N1, O1 CompoundFraction = 0.628772, 0.066659, 0.304569 Density = 1.42 Thickness = 0.0025 [Teflon] Comment = Teflon density=2.2 g/cm3 CompoundList = C1,F1 CompoundFraction = 0.240183, 0.759817 Density = 2.2 [Viton] Comment = Viton Fluoroelastomer density=1.8 g/cm3 CompoundList = H1,C1,F1 CompoundFraction = 0.0094170, 0.2805550, 0.7100280 Density = 1.8 [Water] Comment = Water density=1.0 g/cm3 CompoundList = H2O1 CompoundFraction = 1.0 Density = 1.0 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Te.mat0000644000276300001750000002027613136054446020336 0ustar solebliss00000000000000Te 1 52 1.000000 6 4 6 3 3 9 83 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0060E-03 1.0060E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 4.3414E-03 4.3414E-03 4.4747E-03 4.6120E-03 4.6120E-03 4.7728E-03 4.9392E-03 4.9392E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 3.1814E-02 3.1814E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 8.0515E+00 5.9057E+27 4.6295E+01 8.0468E+00 8.0468E+00 7.6079E+00 7.1218E+00 6.1968E+00 5.4039E+00 5.1632E+00 5.1632E+00 5.0743E+00 4.9838E+00 4.9838E+00 4.8781E+00 4.7715E+00 4.7715E+00 4.7337E+00 4.1702E+00 3.2900E+00 2.6713E+00 1.7604E+00 1.2483E+00 7.0699E-01 6.4894E-01 6.4894E-01 4.6100E-01 3.2730E-01 2.4405E-01 1.4985E-01 1.0147E-01 4.9319E-02 2.9162E-02 1.9211E-02 1.3592E-02 1.0121E-02 7.8250E-03 6.2274E-03 5.0735E-03 4.2142E-03 3.5562E-03 3.0405E-03 2.2951E-03 2.0209E-03 1.7929E-03 1.4390E-03 1.3002E-03 1.2455E-03 8.3536E-04 7.7263E-04 6.6658E-04 5.8098E-04 5.1092E-04 4.0416E-04 3.2763E-04 3.1371E-04 2.7090E-04 1.9409E-04 1.4583E-04 8.2073E-05 5.2576E-05 3.6501E-05 2.6816E-05 2.0535E-05 1.6226E-05 1.3144E-05 1.0860E-05 9.1276E-06 7.7778E-06 6.7065E-06 5.8428E-06 5.1349E-06 4.0564E-06 3.2857E-06 2.7156E-06 2.2819E-06 1.9445E-06 1.6764E-06 1.4607E-06 8.2167E-07 5.2576E-07 3.6510E-07 2.0535E-07 1.3144E-07 5.8428E-08 3.2857E-08 1.4602E-08 8.2167E-09 5.2576E-09 3.6510E-09 2.0535E-09 1.3144E-09 5.8428E-10 3.2857E-10 1.4602E-10 8.2167E-11 5.2576E-11 3.6510E-11 2.0535E-11 1.3144E-11 5.8428E-12 3.2857E-12 1.4602E-12 8.2167E-13 5.2576E-13 3.6510E-13 2.0535E-13 1.3144E-13 INCOHERENT SCATTERING CROSS SECTION 4.7431E-03 2.9427E+25 4.0062E-02 4.7903E-03 4.7903E-03 8.9483E-03 1.3257E-02 2.1365E-02 2.8454E-02 3.0635E-02 3.0635E-02 3.1463E-02 3.2305E-02 3.2305E-02 3.3273E-02 3.4254E-02 3.4254E-02 3.4608E-02 4.0111E-02 4.9838E-02 5.8239E-02 7.4191E-02 8.4621E-02 9.6987E-02 9.8450E-02 9.8450E-02 1.0350E-01 1.0699E-01 1.0869E-01 1.0907E-01 1.0751E-01 1.0123E-01 9.4863E-02 8.9172E-02 8.4244E-02 7.9989E-02 7.6268E-02 7.2973E-02 7.0038E-02 6.7409E-02 6.5035E-02 6.2876E-02 5.9055E-02 5.7342E-02 5.5741E-02 5.2886E-02 5.1632E-02 5.1113E-02 4.6233E-02 4.5308E-02 4.3602E-02 4.2051E-02 4.0626E-02 3.8094E-02 3.5916E-02 3.5477E-02 3.4017E-02 3.0837E-02 2.8275E-02 2.3593E-02 2.0379E-02 1.8014E-02 1.6193E-02 1.4739E-02 1.3550E-02 1.2554E-02 1.1709E-02 1.0982E-02 1.0345E-02 9.7883E-03 9.2928E-03 8.8491E-03 8.0846E-03 7.4569E-03 6.9283E-03 6.4705E-03 6.0788E-03 5.7342E-03 5.4275E-03 4.3141E-03 3.6015E-03 3.1031E-03 2.4471E-03 2.0313E-03 1.4465E-03 1.1341E-03 8.0374E-04 6.2959E-04 5.2104E-04 4.4619E-04 3.4849E-04 2.8671E-04 2.0020E-04 1.5499E-04 1.0775E-04 8.3158E-05 6.8009E-05 5.7673E-05 4.4430E-05 3.6274E-05 2.5070E-05 1.9275E-05 1.3290E-05 1.0204E-05 8.3111E-06 7.0227E-06 5.3850E-06 4.3816E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 8.4244E+03 1.1579E+06 3.7088E+04 8.3206E+03 8.6745E+03 3.6001E+03 1.8250E+03 6.7301E+02 3.2428E+02 2.6264E+02 7.8297E+02 7.3750E+02 6.9472E+02 9.3966E+02 8.6774E+02 8.0138E+02 9.2456E+02 8.9671E+02 5.6776E+02 2.6684E+02 1.4739E+02 4.8942E+01 2.2078E+01 7.0746E+00 5.9891E+00 3.6449E+01 2.0082E+01 1.1015E+01 6.6876E+00 2.9960E+00 1.5919E+00 4.9886E-01 2.1885E-01 1.1632E-01 7.0038E-02 4.6016E-02 3.2239E-02 2.3728E-02 1.8166E-02 1.4356E-02 1.1629E-02 9.6091E-03 6.9205E-03 6.0174E-03 5.3042E-03 4.2089E-03 3.7591E-03 3.5774E-03 2.4126E-03 2.2451E-03 1.9588E-03 1.7274E-03 1.5395E-03 1.2554E-03 1.0515E-03 1.0142E-03 8.9948E-04 6.9182E-04 5.5785E-04 3.6973E-04 2.7350E-04 2.1587E-04 1.7779E-04 1.5088E-04 1.3087E-04 1.1549E-04 1.0331E-04 9.3400E-05 8.5188E-05 7.8344E-05 7.2445E-05 6.7395E-05 5.9136E-05 5.2670E-05 4.7479E-05 4.3184E-05 3.9616E-05 3.6591E-05 3.3990E-05 2.5075E-05 1.9860E-05 1.6438E-05 1.2228E-05 9.7317E-06 6.4422E-06 4.8139E-06 3.1998E-06 2.3956E-06 1.9142E-06 1.5943E-06 1.1945E-06 9.5524E-07 6.3619E-07 4.7715E-07 3.1796E-07 2.3843E-07 1.9072E-07 1.5895E-07 1.1917E-07 9.5335E-08 6.3572E-08 4.7667E-08 3.1777E-08 2.3834E-08 1.9067E-08 1.5886E-08 1.1917E-08 9.5335E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7793E-04 2.7597E-04 5.2292E-04 8.2403E-04 1.1673E-03 1.9440E-03 2.7921E-03 2.9832E-03 3.6649E-03 5.4007E-03 7.0699E-03 1.0860E-02 1.4130E-02 1.6948E-02 1.9454E-02 2.1710E-02 2.3758E-02 2.5637E-02 2.7364E-02 2.8964E-02 3.0450E-02 3.1819E-02 3.3089E-02 3.4264E-02 3.6416E-02 3.8342E-02 4.0088E-02 4.1674E-02 4.3122E-02 4.4444E-02 4.5666E-02 5.0641E-02 5.4322E-02 5.7154E-02 6.1401E-02 6.4375E-02 6.9141E-02 7.2020E-02 7.5324E-02 7.7259E-02 7.8533E-02 7.9430E-02 8.0610E-02 8.1412E-02 8.2498E-02 8.3111E-02 8.3772E-02 8.4149E-02 8.4385E-02 8.4527E-02 8.4716E-02 8.4857E-02 8.5046E-02 8.5141E-02 8.5235E-02 8.5282E-02 8.5329E-02 8.5329E-02 8.5377E-02 8.5377E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4759E-08 2.8092E-06 9.8922E-06 4.0338E-05 8.0279E-05 1.2318E-04 1.6589E-04 2.0724E-04 2.4674E-04 2.8431E-04 3.1980E-04 3.5326E-04 3.8478E-04 4.1480E-04 4.4312E-04 4.7007E-04 5.2009E-04 5.6540E-04 6.0693E-04 6.4516E-04 6.8009E-04 7.1265E-04 7.4286E-04 8.6840E-04 9.6373E-04 1.0392E-03 1.1525E-03 1.2351E-03 1.3715E-03 1.4569E-03 1.5617E-03 1.6245E-03 1.6674E-03 1.6990E-03 1.7425E-03 1.7712E-03 1.8142E-03 1.8383E-03 1.8647E-03 1.8803E-03 1.8897E-03 1.8963E-03 1.9053E-03 1.9109E-03 1.9185E-03 1.9227E-03 1.9270E-03 1.9298E-03 1.9312E-03 1.9327E-03 1.9336E-03 1.9345E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Co.mat0000644000276300001750000001666213136054446020333 0ustar solebliss00000000000000Co 1 27 1.000000 2 10 88 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 7.7089E-03 7.7089E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 4.6587E+00 3.4533E+01 5.3502E+00 4.3736E+00 4.0701E+00 3.4917E+00 2.9808E+00 2.5414E+00 2.1735E+00 1.6912E+00 1.6912E+00 1.6258E+00 1.2630E+00 7.7835E-01 5.3913E-01 2.9828E-01 1.8802E-01 1.3018E-01 9.5973E-02 5.8624E-02 3.9454E-02 1.8690E-02 1.0842E-02 7.0676E-03 4.9662E-03 3.6772E-03 2.8305E-03 2.2451E-03 1.8240E-03 1.5111E-03 1.2722E-03 1.0855E-03 8.1692E-04 7.1857E-04 6.3701E-04 5.1053E-04 4.6086E-04 4.4124E-04 2.9532E-04 2.7306E-04 2.3546E-04 2.0519E-04 1.8051E-04 1.4286E-04 1.1557E-04 1.1057E-04 9.5284E-05 6.8259E-05 5.1369E-05 2.8898E-05 1.8496E-05 1.2845E-05 9.4389E-06 7.2266E-06 5.7101E-06 4.6249E-06 3.8228E-06 3.2117E-06 2.7365E-06 2.3595E-06 2.0560E-06 1.8066E-06 1.4275E-06 1.1567E-06 9.5564E-07 8.0298E-07 6.8424E-07 5.8992E-07 5.1389E-07 2.8908E-07 1.8506E-07 1.2845E-07 7.2266E-08 4.6249E-08 2.0560E-08 1.1557E-08 5.1389E-09 2.8908E-09 1.8496E-09 1.2845E-09 7.2266E-10 4.6249E-10 2.0560E-10 1.1557E-10 5.1389E-11 2.8908E-11 1.8496E-11 1.2845E-11 7.2266E-12 4.6249E-12 2.0560E-12 1.1557E-12 5.1389E-13 2.8908E-13 1.8496E-13 1.2845E-13 7.2266E-14 4.6249E-14 INCOHERENT SCATTERING CROSS SECTION 8.0410E-03 2.8908E-02 3.3165E-03 1.4173E-02 1.9834E-02 3.0196E-02 3.9883E-02 4.8814E-02 5.6928E-02 6.9067E-02 6.9067E-02 7.0927E-02 8.2280E-02 1.0162E-01 1.1322E-01 1.2569E-01 1.3100E-01 1.3284E-01 1.3284E-01 1.3070E-01 1.2732E-01 1.1792E-01 1.0944E-01 1.0229E-01 9.6259E-02 9.1112E-02 8.6664E-02 8.2774E-02 7.9337E-02 7.6272E-02 7.3512E-02 7.1008E-02 6.6621E-02 6.4684E-02 6.2889E-02 5.9663E-02 5.8205E-02 5.7592E-02 5.2074E-02 5.1035E-02 4.9105E-02 4.7343E-02 4.5724E-02 4.2860E-02 4.0414E-02 3.9924E-02 3.8288E-02 3.4704E-02 3.1810E-02 2.6538E-02 2.2920E-02 2.0253E-02 1.8210E-02 1.6575E-02 1.5236E-02 1.4112E-02 1.3162E-02 1.2344E-02 1.1629E-02 1.1005E-02 1.0443E-02 9.9478E-03 9.0915E-03 8.3843E-03 7.7876E-03 7.2767E-03 6.8332E-03 6.4459E-03 6.1036E-03 4.8508E-03 4.0486E-03 3.4886E-03 2.7508E-03 2.2839E-03 1.6258E-03 1.2753E-03 9.0373E-04 7.0774E-04 5.8583E-04 5.0163E-04 3.9178E-04 3.2229E-04 2.2512E-04 1.7423E-04 1.2109E-04 9.3500E-05 7.6445E-05 6.4827E-05 4.9948E-05 4.0782E-05 2.8183E-05 2.1663E-05 1.4940E-05 1.1475E-05 9.3418E-06 7.8969E-06 6.0545E-06 4.9264E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 9.7904E+03 2.4868E+06 5.1847E+04 3.6920E+03 1.7750E+03 6.0933E+02 2.7999E+02 1.5175E+02 9.1487E+01 4.5350E+01 3.5377E+02 3.2311E+02 1.8281E+02 6.1128E+01 2.7376E+01 8.5376E+00 3.6613E+00 1.8812E+00 1.0852E+00 4.5207E-01 2.2818E-01 6.5675E-02 2.7314E-02 1.3982E-02 8.1841E-03 5.2597E-03 3.6215E-03 2.6289E-03 1.9906E-03 1.5593E-03 1.2538E-03 1.0295E-03 7.3558E-04 6.3887E-04 5.6342E-04 4.4675E-04 3.9750E-04 3.7737E-04 2.5516E-04 2.3793E-04 2.0820E-04 1.8393E-04 1.6415E-04 1.3432E-04 1.1332E-04 1.0954E-04 9.7753E-05 7.5828E-05 6.1475E-05 4.1375E-05 3.0952E-05 2.4647E-05 2.0437E-05 1.7433E-05 1.5195E-05 1.3458E-05 1.2068E-05 1.0944E-05 1.0005E-05 9.2141E-06 8.5397E-06 7.9552E-06 6.9977E-06 6.2456E-06 5.6386E-06 5.1389E-06 4.7200E-06 4.3644E-06 4.0578E-06 3.0043E-06 2.3850E-06 1.9773E-06 1.4725E-06 1.1731E-06 7.7825E-07 5.8215E-07 3.8698E-07 2.8990E-07 2.3176E-07 1.9303E-07 1.4470E-07 1.1567E-07 7.7069E-08 5.7786E-08 3.8514E-08 2.8878E-08 2.3104E-08 1.9252E-08 1.4439E-08 1.1547E-08 7.6997E-09 5.7745E-09 3.8493E-09 2.8867E-09 2.3094E-09 1.9252E-09 1.4439E-09 1.1547E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 7.2858E-05 1.1538E-04 2.2688E-04 3.6920E-04 5.3792E-04 9.3875E-04 1.3989E-03 1.5052E-03 1.8889E-03 2.8879E-03 3.8708E-03 6.1751E-03 8.2096E-03 1.0021E-02 1.1629E-02 1.3080E-02 1.4388E-02 1.5573E-02 1.6656E-02 1.7637E-02 1.8547E-02 1.9405E-02 2.0192E-02 2.0938E-02 2.2307E-02 2.3523E-02 2.4627E-02 2.5628E-02 2.6548E-02 2.7386E-02 2.8162E-02 3.1320E-02 3.3680E-02 3.5540E-02 3.8299E-02 4.0271E-02 4.3439E-02 4.5340E-02 4.7567E-02 4.8855E-02 4.9703E-02 5.0316E-02 5.1124E-02 5.1645E-02 5.2411E-02 5.2820E-02 5.3269E-02 5.3515E-02 5.3668E-02 5.3770E-02 5.3913E-02 5.4005E-02 5.4118E-02 5.4189E-02 5.4250E-02 5.4291E-02 5.4312E-02 5.4332E-02 5.4353E-02 5.4363E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0640E-07 3.1575E-06 1.1128E-05 4.5442E-05 9.0516E-05 1.3897E-04 1.8731E-04 2.3411E-04 2.7897E-04 3.2168E-04 3.6204E-04 4.0026E-04 4.3633E-04 4.7067E-04 5.0316E-04 5.3413E-04 5.9155E-04 6.4397E-04 6.9210E-04 7.3635E-04 7.7743E-04 8.1554E-04 8.5100E-04 9.9917E-04 1.1128E-03 1.2037E-03 1.3417E-03 1.4429E-03 1.6125E-03 1.7208E-03 1.8537E-03 1.9344E-03 1.9896E-03 2.0304E-03 2.0866E-03 2.1255E-03 2.1817E-03 2.2144E-03 2.2491E-03 2.2706E-03 2.2828E-03 2.2920E-03 2.3043E-03 2.3114E-03 2.3227E-03 2.3278E-03 2.3339E-03 2.3380E-03 2.3401E-03 2.3411E-03 2.3431E-03 2.3441E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Y.mat0000644000276300001750000002005013136054446020164 0ustar solebliss00000000000000Y 1 39 1.000000 5 6 3 3 9 85 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.0800E-03 2.0800E-03 2.1174E-03 2.1555E-03 2.1555E-03 2.2614E-03 2.3725E-03 2.3725E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.7038E-02 1.7038E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 6.3652E+00 3.6818E+01 7.3203E+00 5.9533E+00 5.5496E+00 5.4866E+00 5.4866E+00 5.4574E+00 5.4277E+00 5.4277E+00 5.3461E+00 5.2624E+00 5.2624E+00 4.8228E+00 4.1969E+00 3.6727E+00 3.2405E+00 2.5801E+00 2.0930E+00 1.3080E+00 1.1082E+00 1.1082E+00 8.9005E-01 5.0375E-01 3.2608E-01 2.2685E-01 1.6677E-01 1.0167E-01 6.8820E-02 3.3184E-02 1.9413E-02 1.2706E-02 8.9547E-03 6.6497E-03 5.1317E-03 4.0785E-03 3.3184E-03 2.7521E-03 2.3193E-03 1.9811E-03 1.4931E-03 1.3134E-03 1.1639E-03 9.3298E-04 8.4331E-04 8.0809E-04 5.4114E-04 5.0036E-04 4.3163E-04 3.7621E-04 3.3078E-04 2.6148E-04 2.1188E-04 2.0287E-04 1.7517E-04 1.2549E-04 9.4289E-05 5.3044E-05 3.3956E-05 2.3579E-05 1.7327E-05 1.3263E-05 1.0479E-05 8.4873E-06 7.0175E-06 5.8958E-06 5.0240E-06 4.3317E-06 3.7736E-06 3.3164E-06 2.6207E-06 2.1228E-06 1.7544E-06 1.4739E-06 1.2558E-06 1.0831E-06 9.4356E-07 5.3064E-07 3.3963E-07 2.3586E-07 1.3263E-07 8.4873E-08 3.7736E-08 2.1222E-08 9.4356E-09 5.3064E-09 3.3963E-09 2.3586E-09 1.3263E-09 8.4873E-10 3.7736E-10 2.1222E-10 9.4356E-11 5.3064E-11 3.3963E-11 2.3586E-11 1.3263E-11 8.4873E-12 3.7736E-12 2.1222E-12 9.4356E-13 5.3064E-13 3.3963E-13 2.3586E-13 1.3263E-13 8.4873E-14 INCOHERENT SCATTERING CROSS SECTION 8.3993E-03 1.6606E-02 3.9253E-03 1.3601E-02 1.8289E-02 1.9020E-02 1.9020E-02 1.9360E-02 1.9704E-02 1.9704E-02 2.0657E-02 2.1648E-02 2.1648E-02 2.7047E-02 3.5026E-02 4.2301E-02 4.8845E-02 5.9804E-02 6.8617E-02 8.5415E-02 9.0631E-02 9.0631E-02 9.6998E-02 1.1068E-01 1.1745E-01 1.2064E-01 1.2186E-01 1.2111E-01 1.1867E-01 1.1088E-01 1.0343E-01 9.6965E-02 9.1444E-02 8.6707E-02 8.2570E-02 7.8908E-02 7.5661E-02 7.2773E-02 7.0175E-02 6.7812E-02 6.3662E-02 6.1823E-02 6.0116E-02 5.7045E-02 5.5659E-02 5.5076E-02 4.9813E-02 4.8820E-02 4.6978E-02 4.5302E-02 4.3769E-02 4.1048E-02 3.8684E-02 3.8203E-02 3.6613E-02 3.3193E-02 3.0447E-02 2.5401E-02 2.1940E-02 1.9393E-02 1.7429E-02 1.5864E-02 1.4584E-02 1.3513E-02 1.2606E-02 1.1820E-02 1.1136E-02 1.0533E-02 1.0005E-02 9.5237E-03 8.7041E-03 8.0267E-03 7.4577E-03 6.9700E-03 6.5426E-03 6.1721E-03 5.8443E-03 4.6440E-03 3.8765E-03 3.3401E-03 2.6343E-03 2.1865E-03 1.5573E-03 1.2206E-03 8.6499E-04 6.7736E-04 5.6099E-04 4.8032E-04 3.7512E-04 3.0861E-04 2.1554E-04 1.6683E-04 1.1596E-04 8.9547E-05 7.3223E-05 6.2073E-05 4.7822E-05 3.9043E-05 2.6986E-05 2.0748E-05 1.4306E-05 1.0987E-05 8.9412E-06 7.5593E-06 5.7975E-06 4.7165E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 3.8576E+03 8.6327E+05 1.9663E+04 1.4875E+03 7.3629E+02 6.6835E+02 2.6200E+03 2.4741E+03 2.3362E+03 3.2574E+03 2.9050E+03 2.5929E+03 2.9560E+03 1.6494E+03 7.8913E+02 4.3873E+02 2.6925E+02 1.2314E+02 6.6551E+01 2.1391E+01 1.4915E+01 1.0167E+02 6.7567E+01 2.2692E+01 1.0201E+01 5.4162E+00 3.2039E+00 1.3845E+00 7.1733E-01 2.1547E-01 9.2053E-02 4.8007E-02 2.8490E-02 1.8507E-02 1.2850E-02 9.3890E-03 7.1462E-03 5.6213E-03 4.5363E-03 3.7367E-03 2.6801E-03 2.3281E-03 2.0514E-03 1.6265E-03 1.4509E-03 1.3798E-03 9.3137E-04 8.6742E-04 7.5790E-04 6.6910E-04 5.9684E-04 4.8750E-04 4.0940E-04 3.9517E-04 3.5126E-04 2.7125E-04 2.1940E-04 1.4645E-04 1.0885E-04 8.6296E-05 7.1258E-05 6.0651E-05 5.2733E-05 4.6616E-05 4.1753E-05 3.7797E-05 3.4518E-05 3.1761E-05 2.9404E-05 2.7372E-05 2.4046E-05 2.1438E-05 1.9332E-05 1.7605E-05 1.6162E-05 1.4936E-05 1.3879E-05 1.0255E-05 8.1351E-06 6.7377E-06 5.0152E-06 3.9937E-06 2.6464E-06 1.9786E-06 1.3148E-06 9.8488E-07 7.8709E-07 6.5548E-07 4.9122E-07 3.9280E-07 2.6173E-07 1.9623E-07 1.3080E-07 9.8082E-08 7.8438E-08 6.5365E-08 4.9021E-08 3.9219E-08 2.6139E-08 1.9610E-08 1.3073E-08 9.8014E-09 7.8438E-09 6.5352E-09 4.9014E-09 3.9212E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1935E-04 1.8667E-04 3.5929E-04 5.7467E-04 8.2590E-04 1.4111E-03 2.0653E-03 2.2136E-03 2.7478E-03 4.1398E-03 5.5056E-03 8.6364E-03 1.1380E-02 1.3771E-02 1.5904E-02 1.7828E-02 1.9576E-02 2.1168E-02 2.2631E-02 2.3965E-02 2.5198E-02 2.6329E-02 2.7386E-02 2.8375E-02 3.0190E-02 3.1822E-02 3.3299E-02 3.4640E-02 3.5866E-02 3.6984E-02 3.8020E-02 4.2227E-02 4.5343E-02 4.7774E-02 5.1364E-02 5.3911E-02 5.7969E-02 6.0394E-02 6.3218E-02 6.4851E-02 6.5921E-02 6.6686E-02 6.7709E-02 6.8346E-02 6.9294E-02 6.9836E-02 7.0445E-02 7.0716E-02 7.0920E-02 7.1055E-02 7.1191E-02 7.1326E-02 7.1462E-02 7.1529E-02 7.1665E-02 7.1665E-02 7.1733E-02 7.1733E-02 7.1733E-02 7.1800E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0200E-07 3.0249E-06 1.0655E-05 4.3473E-05 8.6567E-05 1.3283E-04 1.7896E-04 2.2366E-04 2.6641E-04 3.0705E-04 3.4552E-04 3.8183E-04 4.1610E-04 4.4868E-04 4.7950E-04 5.0883E-04 5.6323E-04 6.1274E-04 6.5806E-04 6.9971E-04 7.3832E-04 7.7422E-04 8.0741E-04 9.4560E-04 1.0506E-03 1.1339E-03 1.2599E-03 1.3520E-03 1.5051E-03 1.6013E-03 1.7205E-03 1.7923E-03 1.8417E-03 1.8783E-03 1.9291E-03 1.9630E-03 2.0138E-03 2.0429E-03 2.0754E-03 2.0944E-03 2.1059E-03 2.1140E-03 2.1249E-03 2.1323E-03 2.1418E-03 2.1472E-03 2.1527E-03 2.1560E-03 2.1581E-03 2.1594E-03 2.1608E-03 2.1621E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ir.mat0000644000276300001750000002205213136054446020332 0ustar solebliss00000000000000Ir 1 77 1.000000 10 6 3 3 3 3 7 3 3 8 80 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.0404E-03 2.0404E-03 2.0779E-03 2.1161E-03 2.1161E-03 2.3233E-03 2.5507E-03 2.5507E-03 2.7238E-03 2.9087E-03 2.9087E-03 3.0000E-03 3.1737E-03 3.1737E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.1215E-02 1.1215E-02 1.1993E-02 1.2824E-02 1.2824E-02 1.3118E-02 1.3419E-02 1.3419E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 7.6111E-02 7.6111E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.1893E+01 4.5973E+01 1.3026E+01 1.1413E+01 1.0865E+01 1.0818E+01 1.0818E+01 1.0776E+01 1.0733E+01 1.0733E+01 1.0506E+01 1.0251E+01 1.0251E+01 1.0053E+01 9.8437E+00 9.8437E+00 9.7434E+00 9.5555E+00 9.5555E+00 8.6970E+00 7.7697E+00 6.9614E+00 5.6581E+00 4.6681E+00 4.1825E+00 4.1825E+00 3.9010E+00 3.6311E+00 3.6311E+00 3.5441E+00 3.4588E+00 3.4588E+00 3.0527E+00 2.1514E+00 1.2713E+00 8.4276E-01 5.9683E-01 4.4676E-01 3.0480E-01 3.0480E-01 2.8087E-01 1.9337E-01 9.4834E-02 5.6518E-02 3.7651E-02 2.6899E-02 2.0167E-02 1.5674E-02 1.2529E-02 1.0242E-02 8.5266E-03 7.2089E-03 6.1752E-03 4.6784E-03 4.1261E-03 3.6658E-03 2.9489E-03 2.6668E-03 2.5552E-03 1.7197E-03 1.5916E-03 1.3749E-03 1.1996E-03 1.0559E-03 8.3633E-04 6.7828E-04 6.4946E-04 5.6091E-04 4.0231E-04 3.0264E-04 1.7049E-04 1.0918E-04 7.5848E-05 5.5735E-05 4.2702E-05 3.3742E-05 2.7326E-05 2.2585E-05 1.8979E-05 1.6172E-05 1.3945E-05 1.2146E-05 1.0677E-05 8.4370E-06 6.8329E-06 5.6487E-06 4.7464E-06 4.0446E-06 3.4870E-06 3.0371E-06 1.7084E-06 1.0934E-06 7.5942E-07 4.2702E-07 2.7335E-07 1.2150E-07 6.8329E-08 3.0371E-08 1.7084E-08 1.0934E-08 7.5942E-09 4.2702E-09 2.7335E-09 1.2150E-09 6.8329E-10 3.0371E-10 1.7084E-10 1.0934E-10 7.5942E-11 4.2702E-11 2.7335E-11 1.2150E-11 6.8329E-12 3.0371E-12 1.7084E-12 1.0934E-12 7.5942E-13 4.2702E-13 2.7335E-13 INCOHERENT SCATTERING CROSS SECTION 3.9318E-03 6.6780E-03 1.5742E-03 6.9990E-03 9.9659E-03 1.0201E-02 1.0201E-02 1.0421E-02 1.0646E-02 1.0646E-02 1.1838E-02 1.3118E-02 1.3118E-02 1.4091E-02 1.5126E-02 1.5126E-02 1.5633E-02 1.6592E-02 1.6592E-02 2.1025E-02 2.6135E-02 3.0975E-02 3.9694E-02 4.6994E-02 5.0910E-02 5.0910E-02 5.3133E-02 5.5390E-02 5.5390E-02 5.6186E-02 5.6988E-02 5.6988E-02 6.0873E-02 7.1086E-02 8.4903E-02 9.2829E-02 9.7278E-02 9.9753E-02 1.0132E-01 1.0132E-01 1.0144E-01 1.0101E-01 9.6557E-02 9.1169E-02 8.6096E-02 8.1582E-02 7.7616E-02 7.4125E-02 7.1032E-02 6.8267E-02 6.5774E-02 6.3505E-02 6.1423E-02 5.7743E-02 5.6111E-02 5.4598E-02 5.1855E-02 5.0597E-02 5.0064E-02 4.5334E-02 4.4441E-02 4.2776E-02 4.1261E-02 3.9878E-02 3.7422E-02 3.5277E-02 3.4838E-02 3.3389E-02 3.0275E-02 2.7777E-02 2.3181E-02 2.0026E-02 1.7701E-02 1.5912E-02 1.4484E-02 1.3315E-02 1.2338E-02 1.1507E-02 1.0793E-02 1.0166E-02 9.6181E-03 9.1325E-03 8.6970E-03 7.9483E-03 7.3311E-03 6.8079E-03 6.3630E-03 5.9745E-03 5.6362E-03 5.3354E-03 4.2420E-03 3.5402E-03 3.0499E-03 2.4055E-03 1.9966E-03 1.4217E-03 1.1147E-03 7.9013E-04 6.1876E-04 5.1224E-04 4.3861E-04 3.4243E-04 2.8181E-04 1.9681E-04 1.5232E-04 1.0592E-04 8.1770E-05 6.6857E-05 5.6675E-05 4.3673E-05 3.5653E-05 2.4641E-05 1.8945E-05 1.3064E-05 1.0032E-05 8.1676E-06 6.9050E-06 5.2947E-06 4.3078E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 4.2295E+03 4.1524E+05 1.6829E+04 1.8867E+03 1.0210E+03 9.7748E+02 1.0520E+03 1.6008E+03 2.4343E+03 2.5662E+03 2.4884E+03 2.4133E+03 2.7886E+03 2.3796E+03 2.0308E+03 2.1561E+03 2.0016E+03 1.7576E+03 1.8334E+03 1.0542E+03 6.0998E+02 3.8660E+02 1.8572E+02 1.0430E+02 7.7321E+01 1.9957E+02 1.6651E+02 1.3891E+02 1.9227E+02 1.8188E+02 1.7209E+02 1.9894E+02 1.4991E+02 7.0961E+01 2.4102E+01 1.1053E+01 5.9996E+00 3.6279E+00 1.8779E+00 9.3205E+00 8.2020E+00 4.5616E+00 1.5489E+00 7.1494E-01 3.9414E-01 2.4406E-01 1.6394E-01 1.1698E-01 8.7437E-02 6.7765E-02 5.4065E-02 4.4174E-02 3.6817E-02 2.6821E-02 2.3337E-02 2.0522E-02 1.6294E-02 1.4681E-02 1.4051E-02 9.4771E-03 8.7986E-03 7.6628E-03 6.7546E-03 6.0161E-03 4.8944E-03 4.0885E-03 3.9412E-03 3.4881E-03 2.6686E-03 2.1411E-03 1.4042E-03 1.0304E-03 8.0830E-04 6.6262E-04 5.6017E-04 4.8435E-04 4.2608E-04 3.8034E-04 3.4306E-04 3.1251E-04 2.8682E-04 2.6498E-04 2.4619E-04 2.1555E-04 1.9161E-04 1.7244E-04 1.5674E-04 1.4365E-04 1.3255E-04 1.2303E-04 9.0511E-05 7.1556E-05 5.9181E-05 4.3955E-05 3.4932E-05 2.3109E-05 1.7259E-05 1.1460E-05 8.5780E-06 6.8549E-06 5.7082E-06 4.2765E-06 3.4180E-06 2.2770E-06 1.7071E-06 1.1376E-06 8.5310E-07 6.8235E-07 5.6863E-07 4.2639E-07 3.4118E-07 2.2739E-07 1.7053E-07 1.1366E-07 8.5247E-08 6.8204E-08 5.6832E-08 4.2639E-08 3.4086E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.4400E-04 5.3903E-04 1.0313E-03 1.6200E-03 2.2637E-03 3.6133E-03 4.9720E-03 5.2696E-03 6.3089E-03 8.8335E-03 1.1156E-02 1.6241E-02 2.0496E-02 2.4158E-02 2.7385E-02 3.0289E-02 3.2927E-02 3.5371E-02 3.7595E-02 3.9694E-02 4.1637E-02 4.3454E-02 4.5177E-02 4.6743E-02 4.9626E-02 5.2163E-02 5.4482E-02 5.6581E-02 5.8523E-02 6.0278E-02 6.1907E-02 6.8549E-02 7.3499E-02 7.7321E-02 8.2929E-02 8.6908E-02 9.3174E-02 9.6870E-02 1.0119E-01 1.0364E-01 1.0524E-01 1.0639E-01 1.0793E-01 1.0893E-01 1.1034E-01 1.1113E-01 1.1197E-01 1.1241E-01 1.1269E-01 1.1291E-01 1.1316E-01 1.1332E-01 1.1354E-01 1.1366E-01 1.1379E-01 1.1385E-01 1.1391E-01 1.1394E-01 1.1398E-01 1.1398E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2983E-08 2.7564E-06 9.7058E-06 3.9569E-05 7.8699E-05 1.2065E-04 1.6235E-04 2.0267E-04 2.4117E-04 2.7767E-04 3.1217E-04 3.4462E-04 3.7533E-04 4.0415E-04 4.3172E-04 4.5772E-04 5.0566E-04 5.4920E-04 5.8899E-04 6.2565E-04 6.5917E-04 6.9019E-04 7.1901E-04 8.3775E-04 9.2672E-04 9.9690E-04 1.1015E-03 1.1770E-03 1.3005E-03 1.3769E-03 1.4693E-03 1.5242E-03 1.5615E-03 1.5887E-03 1.6260E-03 1.6507E-03 1.6874E-03 1.7081E-03 1.7306E-03 1.7438E-03 1.7519E-03 1.7576E-03 1.7651E-03 1.7698E-03 1.7761E-03 1.7801E-03 1.7836E-03 1.7858E-03 1.7873E-03 1.7880E-03 1.7889E-03 1.7898E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/atomsf.dict0000644000276300001750000006510613136054446021422 0ustar solebliss00000000000000 [Ru] z = 44 electrons = 44 c = 5.378740, 19.267399, 12.918200, 4.863370, 1.567560 b = 0.808520, 8.434669, 24.799700, 94.292801 [Yb] z = 70 electrons = 70 c = 7.566720, 28.664101, 15.434500, 15.308700, 2.989630 b = 1.988900, 0.257119, 10.664700, 100.417000 [Sm] z = 62 electrons = 62 c = 2.209630, 24.004200, 19.425800, 13.439600, 2.896040 b = 2.472740, 0.196451, 14.399600, 128.007004 [Ni] z = 28 electrons = 28 c = 1.034100, 12.837600, 7.292000, 4.443800, 2.380000 b = 3.878500, 0.256500, 12.176300, 66.342102 [F-1] z = 9 electrons = 10 c = 0.653396, 3.632200, 3.510570, 1.260640, 0.940706 b = 5.277560, 14.735300, 0.442258, 47.343700 [Ni+2] z = 28 electrons = 26 c = 0.861400, 11.416600, 7.400500, 5.344200, 0.977300 b = 3.676600, 0.244900, 8.873000, 22.162600 [Ni+3] z = 28 electrons = 25 c = 0.386044, 10.780600, 7.758680, 5.227460, 0.847114 b = 3.547700, 0.223140, 7.644680, 16.967300 [Ra] z = 88 electrons = 88 c = 13.621099, 35.763000, 22.906399, 12.473900, 3.210970 b = 0.616341, 3.871350, 19.988701, 142.324997 [Rb] z = 37 electrons = 37 c = 3.487300, 17.178400, 9.643499, 5.139900, 1.529200 b = 1.788800, 17.315100, 0.274800, 164.933990 [Sb] z = 51 electrons = 51 c = 4.590900, 19.641800, 19.045500, 5.037100, 2.682700 b = 5.303400, 0.460700, 27.907400, 75.282501 [Rn] z = 86 electrons = 86 c = 13.690500, 35.563099, 21.281601, 8.003700, 7.443300 b = 0.663100, 4.069100, 14.042200, 44.247299 [Rh] z = 45 electrons = 45 c = 5.328000, 19.295700, 14.350100, 4.734250, 1.289180 b = 0.751536, 8.217580, 25.874901, 98.606201 [Mn+4] z = 25 electrons = 21 c = 0.251877, 9.962530, 7.970570, 2.760670, 0.054447 b = 4.848500, 0.283303, 10.485200, 27.573000 [Be] z = 4 electrons = 4 c = 0.038500, 1.591900, 1.127800, 0.539100, 0.702900 b = 43.642700, 1.862300, 103.483002, 0.542000 [Rh+4] z = 45 electrons = 41 c = 11.283500, 18.854500, 13.980600, 2.534640, -5.652600 b = 0.760825, 7.624360, 19.331699, -0.010200 [Rh+3] z = 45 electrons = 42 c = 11.867800, 18.878500, 14.125900, 3.325150, -6.198900 b = 0.764252, 7.844380, 21.248699, -0.010360 [Ba] z = 56 electrons = 56 c = 2.773100, 20.336100, 19.297001, 10.888000, 2.695900 b = 3.216000, 0.275600, 20.207300, 167.201996 [Mn+2] z = 25 electrons = 23 c = 1.087400, 10.806100, 7.362000, 3.526800, 0.218400 b = 5.279600, 0.343500, 14.343000, 41.323502 [Mn+3] z = 25 electrons = 22 c = 0.393974, 9.845210, 7.871940, 3.565310, 0.323613 b = 4.917970, 0.294393, 10.817100, 24.128099 [Sr+2] z = 38 electrons = 36 c = 41.402500, 18.087400, 8.137300, 2.565400, -34.193001 b = 1.490700, 12.696300, 24.565100, -0.013800 [Mo+6] z = 42 electrons = 36 c = 0.344941, 17.887100, 11.175000, 6.578910, 0.000000 b = 1.036490, 8.480610, 0.058881, 0.000000 [Au+3] z = 79 electrons = 76 c = 9.096800, 30.688599, 16.902901, 12.780100, 6.523540 b = 1.219900, 6.828720, 0.212867, 18.659000 [H-1] z = 1 electrons = 2 c = 0.002389, 0.897661, 0.565616, 0.415815, 0.116973 b = 53.136799, 15.187000, 186.575989, 3.567090 [Mo+3] z = 42 electrons = 39 c = -14.421000, 21.166401, 18.201700, 11.742300, 2.309510 b = 0.014734, 1.030310, 9.536590, 26.630699 [Bk] z = 97 electrons = 97 c = 13.275400, 36.788101, 24.773600, 17.891899, 4.232840 b = 0.451018, 3.046190, 12.894600, 86.002998 [O-1] z = 8 electrons = 9 c = 21.941200, 4.191600, 1.639690, 1.526730, -20.306999 b = 12.857300, 4.172360, 47.017899, -0.014040 [Br] z = 35 electrons = 35 c = 2.955700, 17.178900, 5.235800, 5.637700, 3.985100 b = 2.172300, 16.579599, 0.260900, 41.432800 [Mg+2] z = 12 electrons = 10 c = 0.485300, 3.498800, 3.837800, 1.328400, 0.849700 b = 2.167600, 4.754200, 0.185000, 10.141100 [Ce+3] z = 58 electrons = 55 c = 2.090130, 20.803600, 19.559000, 11.936900, 0.612376 b = 2.776910, 0.231540, 16.540800, 43.169201 [Ra+2] z = 88 electrons = 86 c = 13.543100, 35.215000, 21.670000, 7.913420, 7.650780 b = 0.604909, 3.576700, 12.601000, 29.843599 [V+2] z = 23 electrons = 21 c = 1.229800, 10.106000, 7.354100, 2.288400, 0.022300 b = 6.881800, 0.440900, 20.300400, 115.122002 [Ho] z = 67 electrons = 67 c = 4.567960, 26.904900, 17.293999, 14.558300, 3.638370 b = 2.070510, 0.197940, 11.440700, 92.656601 [Al+3] z = 13 electrons = 10 c = 0.706786, 4.174480, 3.387600, 1.202960, 0.528137 b = 1.938160, 4.145530, 0.228753, 8.285240 [H] z = 1 electrons = 1 c = 0.003038, 0.493002, 0.322912, 0.140191, 0.040810 b = 10.510900, 26.125700, 3.142360, 57.799698 [Ti+2] z = 22 electrons = 20 c = 0.897155, 9.114230, 7.621740, 2.279300, 0.087899 b = 7.524300, 0.457585, 19.536100, 61.655800 [Ti+3] z = 22 electrons = 19 c = -14.652000, 17.734400, 8.738160, 5.256910, 1.921340 b = 0.220610, 7.047160, -0.157620, 15.976800 [Ti+4] z = 22 electrons = 18 c = -13.280000, 19.511400, 8.234730, 2.013410, 1.520800 b = 0.178847, 6.670180, -0.292630, 12.946400 [Ne] z = 10 electrons = 10 c = 0.351500, 3.955300, 3.112500, 1.454600, 1.125100 b = 8.404200, 3.426200, 0.230600, 21.718399 [Li+1] z = 3 electrons = 3 c = 0.016700, 0.696800, 0.788800, 0.341400, 0.156300 b = 4.623700, 1.955700, 0.631600, 10.095300 [Ag+2] z = 47 electrons = 45 c = 5.214040, 19.164299, 16.245600, 4.370900, 0.000000 b = 0.645643, 7.185440, 21.407200, 0.000000 [Zn+2] z = 30 electrons = 28 c = 0.780700, 11.971900, 7.386200, 6.466800, 1.394000 b = 2.994600, 0.203100, 7.082600, 18.099499 [Os] z = 76 electrons = 76 c = 11.000500, 28.189400, 16.154999, 14.930500, 5.675890 b = 1.629030, 8.979480, 0.382661, 48.164700 [Si+4] z = 14 electrons = 10 c = 0.746297, 4.439180, 3.203450, 1.194530, 0.416530 b = 1.641670, 3.437570, 0.214900, 6.653650 [Os+4] z = 76 electrons = 72 c = 6.498040, 30.418999, 15.263700, 14.745800, 5.067950 b = 1.371130, 6.847060, 0.165191, 18.003000 [Br-1] z = 35 electrons = 36 c = 3.177600, 17.171799, 6.333800, 5.575400, 3.727200 b = 2.205900, 19.334499, 0.287100, 58.153500 [Re] z = 75 electrons = 75 c = 10.472000, 28.762100, 15.718900, 14.556400, 5.441740 b = 1.671910, 9.092270, 0.350500, 52.086098 [Nb+5] z = 41 electrons = 36 c = -6.393400, 17.916300, 13.341700, 10.799000, 0.337905 b = 1.124460, 0.028781, 9.282060, 25.722799 [Dy+3] z = 66 electrons = 63 c = 0.689690, 25.539499, 20.286100, 11.981200, 4.500730 b = 1.980400, 0.143384, 9.349720, 19.580999 [Nb+3] z = 41 electrons = 38 c = -12.912000, 19.881199, 18.065300, 11.017700, 1.947150 b = 0.019175, 1.133050, 10.162100, 28.338900 [Ge] z = 32 electrons = 32 c = 2.131300, 16.081600, 6.374700, 3.706800, 3.683000 b = 2.850900, 0.251600, 11.446800, 54.762501 [Cl-1] z = 17 electrons = 18 c = -16.378000, 18.291500, 7.208400, 6.533700, 2.338600 b = 0.006600, 1.171700, 19.542400, 60.448601 [Ga] z = 31 electrons = 31 c = 1.718900, 15.235400, 6.700600, 4.359100, 2.962300 b = 3.066900, 0.241200, 10.780500, 61.413498 [Lu+3] z = 71 electrons = 68 c = 2.975730, 28.462799, 18.121000, 12.842899, 5.594150 b = 1.682160, 0.142292, 7.337270, 16.353500 [Pr] z = 59 electrons = 59 c = 2.058300, 22.043999, 19.669701, 12.385600, 2.824280 b = 2.773930, 0.222087, 16.766899, 143.643997 [Pm+3] z = 61 electrons = 58 c = 1.194990, 22.552700, 20.110800, 12.067100, 2.074920 b = 2.417400, 0.185769, 13.127500, 27.449100 [Y] z = 39 electrons = 39 c = 1.912130, 17.775999, 10.294600, 5.726290, 3.265880 b = 1.402900, 12.800600, 0.125599, 104.353996 [Bi+3] z = 83 electrons = 80 c = 12.471100, 21.805300, 19.502600, 19.105301, 7.102950 b = 1.235600, 6.241490, 0.469999, 20.318501 [Pt] z = 78 electrons = 78 c = 11.688300, 27.005899, 17.763901, 15.713100, 5.783700 b = 1.512930, 8.811740, 0.424593, 38.610298 [Pu] z = 94 electrons = 94 c = 13.381200, 36.525398, 23.808300, 16.770700, 3.479470 b = 0.499384, 3.263710, 14.945499, 105.979996 [U+6] z = 92 electrons = 86 c = 13.166500, 34.850899, 22.758400, 14.009900, 1.214570 b = 0.507079, 2.890300, 13.176700, 25.201700 [U+4] z = 92 electrons = 88 c = 13.267099, 35.371498, 22.532600, 12.029100, 4.798400 b = 0.516598, 3.050530, 12.572300, 23.458200 [U+3] z = 92 electrons = 89 c = 13.309200, 35.574699, 22.525900, 12.216499, 5.370730 b = 0.520480, 3.122930, 12.714800, 26.339399 [Mg] z = 12 electrons = 12 c = 0.858400, 5.420400, 2.173500, 1.226900, 2.307300 b = 2.827500, 79.261101, 0.380800, 7.193700 [Zr+4] z = 40 electrons = 36 c = 9.414539, 18.166800, 10.056200, 1.011180, -2.647900 b = 1.214800, 10.148300, 21.605400, -0.102760 [I-1] z = 53 electrons = 54 c = 4.071400, 20.233200, 18.997000, 7.806900, 2.886800 b = 4.357900, 0.381500, 29.525900, 84.930397 [Sc+3] z = 21 electrons = 18 c = -6.666700, 14.400800, 8.027300, 1.659430, 1.579360 b = 0.298540, 7.962900, -0.286040, 16.066200 [Pa] z = 91 electrons = 91 c = 13.428699, 35.884701, 23.294800, 14.189100, 4.172870 b = 0.547751, 3.415190, 16.923500, 105.250999 [Pd] z = 46 electrons = 46 c = 5.265930, 19.331900, 15.501699, 5.295370, 0.605844 b = 0.698655, 7.989290, 25.205200, 76.898598 [Cd] z = 48 electrons = 48 c = 5.069400, 19.221399, 17.644400, 4.461000, 1.602900 b = 0.594600, 6.908900, 24.700800, 87.482498 [Po] z = 84 electrons = 84 c = 13.677000, 34.672600, 15.473300, 13.113800, 7.025880 b = 0.700999, 3.550780, 9.556419, 47.004501 [Pm] z = 61 electrons = 61 c = 2.028760, 23.340500, 19.609501, 13.123500, 2.875160 b = 2.562700, 0.202088, 15.100900, 132.720993 [Tl+1] z = 81 electrons = 80 c = 12.525800, 21.398500, 20.472300, 18.747799, 6.828470 b = 1.471100, 0.517394, 7.434630, 28.848200 [Tl+3] z = 81 electrons = 78 c = 9.802700, 30.869499, 18.384100, 11.932800, 7.005740 b = 1.100800, 6.538520, 0.219074, 17.211399 [In+3] z = 49 electrons = 46 c = 4.996350, 19.104500, 18.110800, 3.788970, 0.000000 b = 0.551522, 6.324700, 17.359501, 0.000000 [Sm+3] z = 62 electrons = 58 c = 0.954586, 23.150400, 20.259899, 11.920200, 2.714880 b = 2.316410, 0.174081, 12.157100, 24.824200 [Gd] z = 64 electrons = 64 c = 2.419600, 25.070900, 19.079800, 13.851800, 3.545450 b = 2.253410, 0.181951, 12.933100, 101.397995 [La+3] z = 57 electrons = 54 c = 2.408600, 20.248899, 19.376301, 11.632299, 0.336048 b = 2.920700, 0.250698, 17.821100, 54.945297 [Th+4] z = 90 electrons = 86 c = 13.375999, 35.100700, 22.441799, 9.785540, 5.294440 b = 0.555054, 3.244980, 13.466100, 23.953300 [Gd+3] z = 64 electrons = 61 c = 0.645089, 24.346600, 20.420799, 11.870800, 3.714900 b = 2.135530, 0.155525, 10.578199, 21.702900 [Hf] z = 72 electrons = 72 c = 8.581540, 29.143999, 15.172600, 14.758600, 4.300130 b = 1.832620, 9.599899, 0.275116, 72.028999 [Hg] z = 80 electrons = 80 c = 12.608900, 20.680901, 19.041700, 21.657499, 5.967600 b = 0.545000, 8.448400, 1.572900, 38.324600 [Tm+3] z = 69 electrons = 66 c = 1.639290, 27.308300, 19.332001, 12.333900, 5.383480 b = 1.787110, 0.136974, 7.967780, 17.292200 [C] z = 6 electrons = 6 c = 0.215600, 2.310000, 1.020000, 1.588600, 0.865000 b = 20.843899, 10.207500, 0.568700, 51.651199 [Hf+4] z = 72 electrons = 68 c = 2.396990, 28.813099, 18.460100, 12.728500, 5.599270 b = 1.591360, 0.128903, 6.762320, 14.036600 [K] z = 19 electrons = 19 c = 1.422800, 8.218599, 7.439800, 1.051900, 0.865900 b = 12.794900, 0.774800, 213.186996, 41.684097 [Mn] z = 25 electrons = 25 c = 1.089600, 11.281900, 7.357300, 3.019300, 2.244100 b = 5.340900, 0.343200, 17.867399, 83.754303 [O] z = 8 electrons = 8 c = 0.250800, 3.048500, 2.286800, 1.546300, 0.867000 b = 13.277100, 5.701100, 0.323900, 32.908897 [Ca+2] z = 20 electrons = 18 c = -14.875000, 15.634800, 7.951800, 8.437200, 0.853700 b = -0.007400, 0.608900, 10.311600, 25.990499 [S] z = 16 electrons = 16 c = 0.866900, 6.905300, 5.203400, 1.437900, 1.586300 b = 1.467900, 22.215099, 0.253600, 56.172001 [W] z = 74 electrons = 74 c = 9.887500, 29.081800, 15.430000, 14.432700, 5.119820 b = 1.720290, 9.225900, 0.321703, 57.056000 [Np+3] z = 93 electrons = 90 c = 13.254400, 35.707397, 22.612999, 12.989799, 5.432270 b = 0.502322, 3.038070, 12.144899, 25.492800 [Ho+3] z = 67 electrons = 64 c = 0.852795, 26.129601, 20.099400, 11.978800, 4.936760 b = 1.910720, 0.139358, 8.800180, 18.590799 [Np+4] z = 93 electrons = 89 c = 13.211599, 35.510300, 22.578699, 12.776600, 4.921590 b = 0.498626, 2.966270, 11.948400, 22.750200 [Zn] z = 30 electrons = 30 c = 1.304100, 14.074300, 7.031800, 5.162500, 2.410000 b = 3.265500, 0.233300, 10.316299, 58.709702 [Mo+5] z = 42 electrons = 37 c = -14.316000, 21.014900, 18.099199, 11.463200, 0.740625 b = 0.014345, 1.022380, 8.788090, 23.345200 [Eu] z = 63 electrons = 63 c = 2.574500, 24.627399, 19.088600, 13.760300, 2.922700 b = 2.387900, 0.194200, 13.754600, 123.173996 [Zr] z = 40 electrons = 40 c = 2.069290, 17.876499, 10.948000, 5.417320, 3.657210 b = 1.276180, 11.916000, 0.117622, 87.662697 [Er] z = 68 electrons = 68 c = 5.920460, 27.656300, 16.428499, 14.977900, 2.982330 b = 2.073560, 0.223545, 11.360400, 105.703003 [Ge+4] z = 32 electrons = 28 c = 1.455720, 12.917200, 6.700030, 6.067910, 0.859041 b = 2.537180, 0.205855, 5.479130, 11.603000 [Yb+2] z = 70 electrons = 68 c = 3.709830, 28.120899, 17.681700, 13.333500, 5.146570 b = 1.785030, 0.159970, 8.183040, 20.389999 [Yb+3] z = 70 electrons = 67 c = 2.260010, 27.891701, 18.761400, 12.607200, 5.476470 b = 1.732720, 0.138790, 7.644120, 16.814301 [Na] z = 11 electrons = 11 c = 0.676000, 4.762600, 3.173600, 1.267400, 1.112800 b = 3.285000, 8.842199, 0.313600, 129.423996 [Nb] z = 41 electrons = 41 c = 3.755910, 17.614201, 12.014400, 4.041830, 3.533460 b = 1.188650, 11.766000, 0.204785, 69.795700 [V+3] z = 23 electrons = 19 c = 0.656565, 9.431410, 7.741900, 2.153430, 0.016865 b = 6.395350, 0.383349, 15.190800, 63.969002 [Nd] z = 60 electrons = 60 c = 1.984860, 22.684500, 19.684700, 12.774000, 2.851370 b = 2.662480, 0.210628, 15.885000, 137.903000 [V+5] z = 23 electrons = 18 c = 1.714300, 15.688700, 8.142080, 2.030810, -9.576000 b = 0.679003, 5.401350, 9.972780, 0.940464 [Bi] z = 83 electrons = 83 c = 13.578199, 33.368900, 12.951000, 16.587700, 6.469200 b = 0.704000, 2.923800, 8.793700, 48.009300 [Ru+3] z = 44 electrons = 41 c = -3.189200, 18.563801, 13.288500, 9.326019, 3.009640 b = 0.847329, 8.371640, 0.017662, 22.886999 [Ga+3] z = 31 electrons = 28 c = 1.535450, 12.691999, 6.698830, 6.066920, 1.006600 b = 2.812620, 0.227890, 6.364410, 14.412200 [Bi+5] z = 83 electrons = 78 c = -6.799400, 33.536400, 25.094601, 19.249699, 6.915550 b = 0.916540, 0.390420, 5.714140, 12.828500 [Au+1] z = 79 electrons = 78 c = 11.229900, 28.010899, 17.820400, 14.335899, 6.580770 b = 1.353210, 7.739500, 0.356752, 26.404301 [Ru+4] z = 44 electrons = 40 c = 1.423570, 18.500299, 13.178699, 4.713040, 2.185350 b = 0.844582, 8.125340, 0.364950, 20.850399 [Np] z = 93 electrons = 93 c = 13.357300, 36.187401, 23.596399, 15.640200, 4.185500 b = 0.511929, 3.253960, 15.362200, 97.490799 [Pt+4] z = 78 electrons = 74 c = 7.395340, 30.961201, 15.982900, 13.734800, 5.920340 b = 1.248130, 6.608340, 0.168640, 16.939199 [Fr] z = 87 electrons = 87 c = 13.724700, 35.929901, 23.054699, 12.143900, 2.112530 b = 0.646453, 4.176190, 23.105200, 150.644989 [Cd+2] z = 48 electrons = 46 c = 5.119370, 19.151400, 17.253500, 4.471280, 0.000000 b = 0.597922, 6.806390, 20.252100, 0.000000 [Np+6] z = 93 electrons = 87 c = 13.113000, 35.013599, 22.728600, 14.388400, 1.756690 b = 0.489810, 2.810990, 12.330000, 22.658100 [Rb+1] z = 37 electrons = 36 c = 2.078200, 17.581600, 7.659800, 5.898100, 2.781700 b = 1.713900, 14.795700, 0.160300, 31.208700 [Hg+2] z = 80 electrons = 78 c = 10.626800, 29.564100, 18.059999, 12.837400, 6.899120 b = 1.211520, 7.056390, 0.284738, 20.748199 [Fe] z = 26 electrons = 26 c = 1.036900, 11.769500, 7.357300, 3.522200, 2.304500 b = 4.761100, 0.307200, 15.353500, 76.880501 [Hg+1] z = 80 electrons = 79 c = 12.020500, 25.085300, 18.497299, 16.888300, 6.482160 b = 1.395070, 7.651050, 0.443378, 28.226200 [Eu+3] z = 63 electrons = 60 c = 0.759344, 23.749699, 20.374500, 11.850900, 3.265030 b = 2.222580, 0.163940, 11.311000, 22.996599 [Eu+2] z = 63 electrons = 61 c = 1.363890, 24.006300, 19.950399, 11.803400, 3.872430 b = 2.277830, 0.173530, 11.609600, 26.515600 [Co+3] z = 27 electrons = 24 c = 0.286667, 10.337999, 7.881730, 4.767950, 0.725591 b = 3.909690, 0.238668, 8.355830, 18.349100 [Co+2] z = 27 electrons = 25 c = 0.932400, 11.229600, 7.388300, 4.739300, 0.710800 b = 4.123100, 0.272600, 10.244300, 25.646599 [Ir+4] z = 77 electrons = 73 c = 6.968240, 30.705799, 15.551200, 14.232600, 5.536720 b = 1.309230, 6.719830, 0.167252, 17.491100 [B] z = 5 electrons = 5 c = -0.193200, 2.054500, 1.332600, 1.097900, 0.706800 b = 23.218500, 1.021000, 60.349800, 0.140300 [Ir+3] z = 77 electrons = 74 c = 8.279030, 30.415600, 15.862000, 13.614500, 5.820080 b = 1.343230, 7.109090, 0.204633, 20.325399 [Sr] z = 38 electrons = 38 c = 2.506400, 17.566299, 9.818399, 5.422000, 2.669400 b = 1.556400, 14.098800, 0.166400, 132.376007 [Ce+4] z = 58 electrons = 54 c = 1.591800, 20.323500, 19.818600, 12.123300, 0.144583 b = 2.659410, 0.218850, 15.799200, 62.235500 [N] z = 7 electrons = 7 c = -11.528999, 12.212600, 3.132200, 2.012500, 1.166300 b = 0.005700, 9.893300, 28.997499, 0.582600 [Kr] z = 36 electrons = 36 c = 2.825000, 17.355499, 6.728600, 5.549300, 3.537500 b = 1.938400, 16.562300, 0.226100, 39.397202 [Si] z = 14 electrons = 14 c = 1.140700, 6.291500, 3.035300, 1.989100, 1.541000 b = 2.438600, 32.333698, 0.678500, 81.693695 [Sn] z = 50 electrons = 50 c = 4.782100, 19.188900, 19.100500, 4.458500, 2.466300 b = 5.830300, 0.503100, 26.890900, 83.957100 [Ac+3] z = 89 electrons = 86 c = 13.463699, 35.173599, 22.111200, 8.192160, 7.055450 b = 0.579689, 3.414370, 12.918700, 25.944300 [V] z = 23 electrons = 23 c = 1.219900, 10.297100, 7.351100, 2.070300, 2.057100 b = 6.865700, 0.438500, 26.893799, 102.477997 [Sc] z = 21 electrons = 21 c = 1.332900, 9.189000, 7.367900, 1.640900, 1.468000 b = 9.021299, 0.572900, 136.108002, 51.353100 [Sb+3] z = 51 electrons = 48 c = 4.696260, 18.975500, 18.932999, 5.107890, 0.288753 b = 0.467196, 5.221260, 19.590200, 55.511299 [Fe+2] z = 26 electrons = 24 c = 1.009700, 11.042400, 7.374000, 4.134600, 0.439900 b = 4.653800, 0.305300, 12.054600, 31.280899 [Fe+3] z = 26 electrons = 23 c = 0.970700, 11.176400, 7.386300, 3.394800, 0.072400 b = 4.614700, 0.300500, 11.672900, 38.556599 [Se] z = 34 electrons = 34 c = 2.840900, 17.000599, 5.819600, 3.973100, 4.354300 b = 2.409800, 0.272600, 15.237200, 43.816299 [Sb+5] z = 51 electrons = 46 c = 4.692630, 19.868500, 19.030199, 2.412530, 0.000000 b = 5.448530, 0.467973, 14.125900, 0.000000 [Ag+1] z = 47 electrons = 46 c = 5.215720, 19.181200, 15.971900, 5.274750, 0.357534 b = 0.646179, 7.191230, 21.732599, 66.114700 [Pb] z = 82 electrons = 82 c = 13.411800, 31.061699, 13.063700, 18.441999, 5.969600 b = 0.690200, 2.357600, 8.618000, 47.257900 [Er+3] z = 68 electrons = 65 c = 1.176130, 26.722000, 19.774799, 12.150600, 5.173790 b = 1.846590, 0.137290, 8.362249, 17.897400 [Co] z = 27 electrons = 27 c = 1.011800, 12.284100, 7.340900, 4.003400, 2.348800 b = 4.279100, 0.278400, 13.535900, 71.169197 [Cm] z = 96 electrons = 96 c = 13.288700, 36.648800, 24.409599, 17.399000, 4.216650 b = 0.465154, 3.089970, 13.434600, 88.483398 [Cl] z = 17 electrons = 17 c = -9.557400, 11.460400, 7.196400, 6.255600, 1.645500 b = 0.010400, 1.166200, 18.519400, 47.778400 [Ca] z = 20 electrons = 20 c = 1.375100, 8.626600, 7.387300, 1.589900, 1.021100 b = 10.442100, 0.659900, 85.748398, 178.436996 [Cf] z = 98 electrons = 98 c = 13.267400, 36.918499, 25.199499, 18.331699, 4.243910 b = 0.437533, 3.007750, 12.404400, 83.788101 [Ce] z = 58 electrons = 58 c = 1.862640, 21.167099, 19.769501, 11.851299, 3.330490 b = 2.812190, 0.226836, 17.608299, 127.112999 [Xe] z = 54 electrons = 54 c = 3.711800, 20.293301, 19.029800, 8.976700, 1.990000 b = 3.928200, 0.344000, 26.465900, 64.265800 [Tm] z = 69 electrons = 69 c = 6.756210, 28.181900, 15.885099, 15.154200, 2.987060 b = 2.028590, 0.238849, 10.997499, 102.960999 [Cs] z = 55 electrons = 55 c = 3.335200, 20.389200, 19.106199, 10.662000, 1.495300 b = 3.569000, 0.310700, 24.387899, 213.903992 [Cr] z = 24 electrons = 24 c = 1.183200, 10.640600, 7.353700, 3.324000, 1.492200 b = 6.103800, 0.392000, 20.262600, 98.739899 [Sn+4] z = 50 electrons = 46 c = 3.918200, 18.933300, 19.713100, 3.418200, 0.019300 b = 5.764000, 0.465500, 14.004900, -0.758300 [Sn+2] z = 50 electrons = 48 c = 4.786100, 19.109400, 19.054800, 4.564800, 0.487000 b = 0.503600, 5.837800, 23.375200, 62.206100 [Cv] z = 6 electrons = 6 c = 0.286977, 2.260690, 1.561650, 1.050750, 0.839259 b = 22.690701, 0.656665, 9.756180, 55.594898 [Cu] z = 29 electrons = 29 c = 1.191000, 13.337999, 7.167600, 5.615800, 1.673500 b = 3.582800, 0.247000, 11.396600, 64.812599 [Pt+2] z = 78 electrons = 76 c = 9.853290, 29.842899, 16.722401, 13.215300, 6.352340 b = 1.329270, 7.389790, 0.263297, 22.942600 [Ta+5] z = 73 electrons = 68 c = 1.785550, 29.158699, 18.840700, 12.826799, 5.386950 b = 1.507110, 0.116741, 6.315240, 12.424400 [La] z = 57 electrons = 57 c = 2.146780, 20.577999, 19.598999, 11.372700, 3.287190 b = 2.948170, 0.244475, 18.772600, 133.123993 [Ba+2] z = 56 electrons = 54 c = 3.029020, 20.180700, 19.113600, 10.905399, 0.776340 b = 3.213670, 0.283310, 20.055799, 51.745998 [Li] z = 3 electrons = 3 c = 0.037700, 1.128200, 0.750800, 0.617500, 0.465300 b = 3.954600, 1.052400, 85.390503, 168.261002 [Y+3] z = 39 electrons = 36 c = 40.260201, 17.926800, 9.153100, 1.767950, -33.108002 b = 1.354170, 11.214500, 22.659901, -0.013190 [Tl] z = 81 electrons = 81 c = 13.174600, 27.544600, 19.158400, 15.538000, 5.525930 b = 0.655150, 8.707510, 1.963470, 45.814899 [Lu] z = 71 electrons = 71 c = 7.976280, 28.947599, 15.220800, 15.100000, 3.716010 b = 1.901820, 9.985189, 0.261033, 84.329803 [Th] z = 90 electrons = 90 c = 13.431400, 35.564499, 23.421900, 12.747300, 4.807030 b = 0.563359, 3.462040, 17.830900, 99.172195 [Ti] z = 22 electrons = 22 c = 1.280700, 9.759500, 7.355800, 1.699100, 1.902100 b = 7.850800, 0.500000, 35.633801, 116.104996 [Pu+3] z = 94 electrons = 91 c = 13.199100, 35.840000, 22.716900, 13.580700, 5.660160 b = 0.484936, 2.961180, 11.533100, 24.399200 [Tb] z = 65 electrons = 65 c = 3.582240, 25.897600, 18.218500, 14.316700, 2.953540 b = 2.242560, 0.196143, 12.664800, 115.362000 [He] z = 2 electrons = 2 c = 0.006400, 0.873400, 0.630900, 0.311200, 0.178000 b = 9.103700, 3.356800, 22.927601, 0.982100 [Pu+6] z = 94 electrons = 88 c = 13.058200, 35.173599, 22.718100, 14.763500, 2.286780 b = 0.473204, 2.738480, 11.552999, 20.930300 [Ta] z = 73 electrons = 73 c = 9.243540, 29.202400, 15.229300, 14.513500, 4.764920 b = 1.773330, 9.370460, 0.295977, 63.364399 [Pb+2] z = 82 electrons = 80 c = 12.473400, 21.788601, 19.568199, 19.140600, 7.011070 b = 1.336600, 0.488383, 6.772700, 23.813200 [Te] z = 52 electrons = 52 c = 4.352000, 19.964399, 19.013800, 6.144870, 2.523900 b = 4.817420, 0.420885, 28.528400, 70.840302 [Tb+3] z = 65 electrons = 62 c = 0.691967, 24.955900, 20.327099, 12.247100, 3.773000 b = 2.056010, 0.149525, 10.049900, 21.277300 [Pb+4] z = 82 electrons = 78 c = 8.084280, 32.124397, 18.800301, 12.017500, 6.968860 b = 1.005660, 6.109260, 0.147041, 14.714000 [Pu+4] z = 94 electrons = 90 c = 13.155500, 35.649300, 22.646000, 13.359500, 5.188310 b = 0.481422, 2.890200, 11.316000, 21.830099 [F] z = 9 electrons = 9 c = 0.277600, 3.539200, 2.641200, 1.517000, 1.024300 b = 10.282499, 4.294400, 0.261500, 26.147600 [K+1] z = 19 electrons = 18 c = -4.997800, 7.957800, 7.491700, 6.359000, 1.191500 b = 12.633100, 0.767400, -0.002000, 31.912800 [Tc] z = 43 electrons = 43 c = 5.404280, 19.130100, 11.094800, 4.649010, 2.712630 b = 0.864132, 8.144870, 21.570700, 86.847198 [Be+2] z = 4 electrons = 2 c = -6.109200, 6.260300, 0.884900, 0.799300, 0.164700 b = 0.002700, 0.831300, 2.275800, 5.114600 [Pd+2] z = 46 electrons = 44 c = 5.291600, 19.170099, 15.209600, 4.322340, 0.000000 b = 0.696219, 7.555730, 22.505699, 0.000000 [Pd+4] z = 46 electrons = 42 c = 13.017400, 19.249300, 14.790000, 2.892890, -7.949200 b = 0.683839, 7.148330, 17.914400, 0.005127 [Dy] z = 66 electrons = 66 c = 4.297280, 26.507000, 17.638300, 14.559600, 2.965770 b = 2.180200, 0.202172, 12.189899, 111.874001 [Nd+3] z = 60 electrons = 57 c = 1.475880, 21.961000, 19.933899, 12.120000, 1.510310 b = 2.527220, 0.199237, 14.178300, 30.871700 [Cs+1] z = 55 electrons = 54 c = 3.279100, 20.352400, 19.127800, 10.282100, 0.961500 b = 3.552000, 0.308600, 23.712799, 59.456497 [Na+1] z = 11 electrons = 10 c = 0.404000, 3.256500, 3.936200, 1.399800, 1.003200 b = 2.667100, 6.115300, 0.200100, 14.039000 [I] z = 53 electrons = 53 c = 4.071200, 20.147200, 18.994900, 7.513800, 2.273500 b = 4.347000, 0.381400, 27.765999, 66.877602 [In] z = 49 electrons = 49 c = 4.939100, 19.162399, 18.559601, 4.294800, 2.039600 b = 0.547600, 6.377600, 25.849899, 92.802902 [Cr+2] z = 24 electrons = 22 c = 0.616898, 9.540340, 7.750900, 3.582740, 0.509107 b = 5.660780, 0.344261, 13.307500, 32.422401 [U] z = 92 electrons = 92 c = 13.396600, 36.022800, 23.412800, 14.949100, 4.188000 b = 0.529300, 3.325300, 16.092699, 100.612999 [Siv] z = 14 electrons = 14 c = 1.247070, 5.662690, 3.071640, 2.624460, 1.393200 b = 2.665200, 38.663399, 0.916946, 93.545799 [Ac] z = 89 electrons = 89 c = 13.526600, 35.659698, 23.103199, 12.597700, 4.086550 b = 0.589092, 3.651550, 18.598999, 117.019997 [Ag] z = 47 electrons = 47 c = 5.179000, 19.280800, 16.688499, 4.804500, 1.046300 b = 0.644600, 7.472600, 24.660500, 99.815598 [P] z = 15 electrons = 15 c = 1.114900, 6.434500, 4.179100, 1.780000, 1.490800 b = 1.906700, 27.157000, 0.526000, 68.164497 [Cu+1] z = 29 electrons = 28 c = 0.890000, 11.947500, 7.357300, 6.245500, 1.557800 b = 3.366900, 0.227400, 8.662500, 25.848700 [Ir] z = 77 electrons = 77 c = 11.472200, 27.304899, 16.729599, 15.611500, 5.833770 b = 1.592790, 8.865530, 0.417916, 45.001099 [Am] z = 95 electrons = 95 c = 13.359200, 36.670601, 24.099199, 17.341499, 3.493310 b = 0.483629, 3.206470, 14.313600, 102.272995 [Al] z = 13 electrons = 13 c = 1.115100, 6.420200, 1.900200, 1.593600, 1.964600 b = 3.038700, 0.742600, 31.547199, 85.088600 [Cu+2] z = 29 electrons = 27 c = 1.144310, 11.816800, 7.111810, 5.781350, 1.145230 b = 3.374840, 0.244078, 7.987600, 19.896999 [Pr+3] z = 59 electrons = 56 c = 1.771320, 21.372700, 19.749100, 12.132900, 0.975180 b = 2.645200, 0.214299, 15.323000, 36.406502 [As] z = 33 electrons = 33 c = 2.531000, 16.672300, 6.070100, 3.431300, 4.277900 b = 2.634500, 0.264700, 12.947900, 47.797199 [Ar] z = 18 electrons = 18 c = 1.444500, 7.484500, 6.772300, 0.653900, 1.644200 b = 0.907200, 14.840700, 43.898300, 33.392899 [Au] z = 79 electrons = 79 c = 12.065800, 16.881901, 18.591299, 25.558201, 5.860000 b = 0.461100, 8.621600, 1.482600, 36.395599 [At] z = 85 electrons = 85 c = 13.710800, 35.316299, 19.021099, 9.498870, 7.425180 b = 0.685870, 3.974580, 11.382400, 45.471500 [Pr+4] z = 59 electrons = 55 c = 1.242850, 20.941299, 20.053900, 12.466800, 0.296689 b = 2.544670, 0.202481, 14.813700, 45.464298 [Mo] z = 42 electrons = 42 c = 4.387500, 3.702500, 17.235600, 12.887600, 3.742900 b = 0.277200, 1.095800, 11.004000, 61.658401 [Cr+3] z = 24 electrons = 21 c = 0.518275, 9.680900, 7.811360, 2.876030, 0.113575 b = 5.594630, 0.334393, 12.828800, 32.876099 [W+6] z = 74 electrons = 68 c = 1.010740, 29.493599, 19.376301, 13.054399, 5.064120 b = 1.427550, 0.104621, 5.936670, 11.197200 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Eu.mat0000644000276300001750000002174213136054446020336 0ustar solebliss00000000000000Eu 1 63 1.000000 10 4 3 3 3 3 7 3 3 7 82 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.1309E-03 1.1309E-03 1.1457E-03 1.1606E-03 1.1606E-03 1.3109E-03 1.4806E-03 1.4806E-03 1.5000E-03 1.6139E-03 1.6139E-03 1.7044E-03 1.8000E-03 1.8000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 6.9769E-03 6.9769E-03 7.2900E-03 7.6171E-03 7.6171E-03 8.0000E-03 8.0520E-03 8.0520E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 4.8519E-02 4.8519E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 9.8952E+00 1.2980E+04 1.2789E+01 9.7684E+00 9.7684E+00 9.7527E+00 9.7367E+00 9.7367E+00 9.5884E+00 9.4236E+00 9.4236E+00 9.4038E+00 9.2849E+00 9.2849E+00 9.1962E+00 9.1027E+00 9.1027E+00 8.8926E+00 7.8821E+00 6.9429E+00 6.1186E+00 5.4212E+00 4.8386E+00 4.8386E+00 4.6713E+00 4.5058E+00 4.5058E+00 4.3235E+00 4.2997E+00 4.2997E+00 3.5190E+00 2.2838E+00 1.6343E+00 9.5940E-01 6.2454E-01 4.6405E-01 4.6405E-01 4.4265E-01 3.3268E-01 2.0765E-01 1.4131E-01 6.8835E-02 4.0936E-02 2.7132E-02 1.9279E-02 1.4391E-02 1.1147E-02 8.8879E-03 7.2520E-03 6.0298E-03 5.0923E-03 4.3570E-03 3.2933E-03 2.9016E-03 2.5756E-03 2.0692E-03 1.8705E-03 1.7920E-03 1.2035E-03 1.1136E-03 9.6138E-04 8.3814E-04 7.3687E-04 5.8249E-04 4.7277E-04 4.5295E-04 3.9169E-04 2.8067E-04 2.1070E-04 1.1865E-04 7.5968E-05 5.2745E-05 3.8769E-05 2.9686E-05 2.3456E-05 1.9002E-05 1.5705E-05 1.3196E-05 1.1243E-05 9.6931E-06 8.4448E-06 7.4224E-06 5.8650E-06 4.7515E-06 3.9264E-06 3.2991E-06 2.8112E-06 2.4237E-06 2.1114E-06 1.1877E-06 7.6007E-07 5.2785E-07 2.9694E-07 1.9002E-07 8.4448E-08 4.7515E-08 2.1114E-08 1.1877E-08 7.6007E-09 5.2785E-09 2.9690E-09 1.9002E-09 8.4448E-10 4.7515E-10 2.1114E-10 1.1877E-10 7.6007E-11 5.2785E-11 2.9690E-11 1.9002E-11 8.4448E-12 4.7515E-12 2.1114E-12 1.1877E-12 7.6007E-13 5.2785E-13 2.9690E-13 1.9002E-13 INCOHERENT SCATTERING CROSS SECTION 5.8095E-03 3.1069E+03 3.6467E-03 6.8082E-03 6.8082E-03 6.9188E-03 7.0301E-03 7.0301E-03 8.1244E-03 9.3523E-03 9.3523E-03 9.4950E-03 1.0331E-02 1.0331E-02 1.0983E-02 1.1667E-02 1.1667E-02 1.3109E-02 2.0151E-02 2.6674E-02 3.2626E-02 3.7960E-02 4.2640E-02 4.2640E-02 4.4059E-02 4.5454E-02 4.5454E-02 4.7039E-02 4.7277E-02 4.7277E-02 5.4727E-02 6.9944E-02 8.1040E-02 9.4435E-02 1.0149E-01 1.0490E-01 1.0490E-01 1.0533E-01 1.0731E-01 1.0830E-01 1.0727E-01 1.0165E-01 9.5505E-02 8.9963E-02 8.5122E-02 8.0903E-02 7.7196E-02 7.3910E-02 7.0975E-02 6.8335E-02 6.5942E-02 6.3758E-02 5.9915E-02 5.8214E-02 5.6637E-02 5.3779E-02 5.2468E-02 5.1913E-02 4.6999E-02 4.6072E-02 4.4342E-02 4.2759E-02 4.1308E-02 3.8734E-02 3.6518E-02 3.6070E-02 3.4583E-02 3.1356E-02 2.8758E-02 2.3999E-02 2.0730E-02 1.8324E-02 1.6470E-02 1.4991E-02 1.3783E-02 1.2768E-02 1.1908E-02 1.1171E-02 1.0521E-02 9.9547E-03 9.4514E-03 8.9996E-03 8.2269E-03 7.5849E-03 7.0459E-03 6.5862E-03 6.1820E-03 5.8333E-03 5.5242E-03 4.3908E-03 3.6636E-03 3.1564E-03 2.4895E-03 2.0662E-03 1.4714E-03 1.1536E-03 8.1793E-04 6.4040E-04 5.3023E-04 4.5375E-04 3.5452E-04 2.9167E-04 2.0369E-04 1.5764E-04 1.0961E-04 8.4607E-05 6.9191E-05 5.8650E-05 4.5176E-05 3.6902E-05 2.5501E-05 1.9604E-05 1.3521E-05 1.0379E-05 8.4527E-06 7.1450E-06 5.4806E-06 4.4582E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.2057E+03 1.6312E+05 8.0575E+03 1.7532E+03 2.3294E+03 3.5322E+03 5.3459E+03 6.4674E+03 5.6997E+03 5.0209E+03 5.8016E+03 5.6154E+03 4.7633E+03 5.0566E+03 4.4803E+03 3.9708E+03 4.1491E+03 3.2693E+03 1.2483E+03 6.1226E+02 3.4806E+02 2.1792E+02 1.4730E+02 4.0778E+02 3.6440E+02 3.2567E+02 4.4463E+02 3.9458E+02 3.8776E+02 4.4820E+02 2.5937E+02 8.8530E+01 4.0698E+01 1.3355E+01 5.9918E+00 3.4825E+00 1.9442E+01 1.7952E+01 1.1112E+01 5.1398E+00 2.7918E+00 9.0551E-01 4.0619E-01 2.1933E-01 1.3363E-01 8.8618E-02 6.2573E-02 4.6360E-02 3.5670E-02 2.8290E-02 2.3004E-02 1.9100E-02 1.3833E-02 1.2007E-02 1.0536E-02 8.3441E-03 7.5175E-03 7.1965E-03 4.8505E-03 4.5042E-03 3.9263E-03 3.4643E-03 3.0875E-03 2.5139E-03 2.1027E-03 2.0278E-03 1.7971E-03 1.3786E-03 1.1088E-03 7.3114E-04 5.3855E-04 4.2402E-04 3.4833E-04 2.9503E-04 2.5556E-04 2.2525E-04 2.0123E-04 1.8178E-04 1.6569E-04 1.5221E-04 1.4072E-04 1.3081E-04 1.1465E-04 1.0204E-04 9.1898E-05 8.3576E-05 7.6641E-05 7.0737E-05 6.5704E-05 4.8386E-05 3.8309E-05 3.1691E-05 2.3551E-05 1.8740E-05 1.2400E-05 9.2651E-06 6.1543E-06 4.6088E-06 3.6815E-06 3.0657E-06 2.2969E-06 1.8364E-06 1.2233E-06 9.1740E-07 6.1147E-07 4.5850E-07 3.6664E-07 3.0554E-07 2.2913E-07 1.8328E-07 1.2217E-07 9.1621E-08 6.1067E-08 4.5810E-08 3.6648E-08 3.0542E-08 2.2905E-08 1.8324E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.5152E-04 3.9094E-04 7.4104E-04 1.1627E-03 1.6333E-03 2.6627E-03 3.7540E-03 3.9985E-03 4.8627E-03 7.0147E-03 9.0392E-03 1.3561E-02 1.7425E-02 2.0745E-02 2.3686E-02 2.6325E-02 2.8723E-02 3.0922E-02 3.2955E-02 3.4837E-02 3.6601E-02 3.8234E-02 3.9747E-02 4.1174E-02 4.3710E-02 4.5969E-02 4.8030E-02 4.9932E-02 5.1636E-02 5.3181E-02 5.4648E-02 6.0513E-02 6.4911E-02 6.8319E-02 7.3313E-02 7.6879E-02 8.2546E-02 8.5914E-02 8.9798E-02 9.2057E-02 9.3523E-02 9.4593E-02 9.6020E-02 9.6931E-02 9.8239E-02 9.8952E-02 9.9705E-02 1.0014E-01 1.0042E-01 1.0058E-01 1.0081E-01 1.0097E-01 1.0117E-01 1.0129E-01 1.0141E-01 1.0149E-01 1.0153E-01 1.0153E-01 1.0157E-01 1.0161E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.6390E-08 2.8562E-06 1.0054E-05 4.0976E-05 8.1555E-05 1.2511E-04 1.6842E-04 2.1031E-04 2.5037E-04 2.8838E-04 3.2432E-04 3.5812E-04 3.8998E-04 4.2046E-04 4.4899E-04 4.7594E-04 5.2627E-04 5.7223E-04 6.1384E-04 6.5228E-04 6.8755E-04 7.2044E-04 7.5056E-04 8.7618E-04 9.7129E-04 1.0462E-03 1.1583E-03 1.2400E-03 1.3743E-03 1.4579E-03 1.5602E-03 1.6216E-03 1.6632E-03 1.6941E-03 1.7365E-03 1.7647E-03 1.8067E-03 1.8308E-03 1.8570E-03 1.8724E-03 1.8820E-03 1.8887E-03 1.8974E-03 1.9030E-03 1.9109E-03 1.9152E-03 1.9196E-03 1.9224E-03 1.9240E-03 1.9248E-03 1.9259E-03 1.9271E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Fe.mat0000644000276300001750000001666213136054446020324 0ustar solebliss00000000000000Iron 1 26 1.000000 2 10 88 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 7.1120E-03 7.1120E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 4.5365E+00 3.5786E+01 5.2512E+00 4.2411E+00 3.9327E+00 3.3536E+00 2.8489E+00 2.4208E+00 2.0650E+00 1.7447E+00 1.7447E+00 1.5420E+00 1.2013E+00 7.4577E-01 5.1695E-01 2.8489E-01 1.7954E-01 1.2444E-01 9.1776E-02 5.6041E-02 3.7677E-02 1.7814E-02 1.0330E-02 6.7320E-03 6.7320E-03 4.7285E-03 2.6937E-03 2.1370E-03 1.7361E-03 1.4377E-03 1.2099E-03 1.0323E-03 7.7696E-04 6.8334E-04 6.0559E-04 4.8519E-04 4.3812E-04 4.1958E-04 2.8080E-04 2.5961E-04 2.2386E-04 1.9507E-04 1.7156E-04 1.3572E-04 1.0988E-04 1.0516E-04 9.0695E-05 6.4953E-05 4.8837E-05 2.7476E-05 1.7588E-05 1.2217E-05 8.9728E-06 6.8700E-06 5.4283E-06 4.3963E-06 3.6340E-06 3.0538E-06 2.6020E-06 2.2429E-06 1.9539E-06 1.7178E-06 1.3576E-06 1.0988E-06 9.0849E-07 7.6335E-07 6.5045E-07 5.6084E-07 4.8859E-07 2.7487E-07 1.7588E-07 1.2217E-07 6.8700E-08 4.3963E-08 1.9539E-08 1.0988E-08 4.8848E-09 2.7476E-09 1.7588E-09 1.2217E-09 6.8700E-10 4.3963E-10 1.9539E-10 1.0988E-10 4.8848E-11 2.7476E-11 1.7588E-11 1.2217E-11 6.8700E-12 4.3963E-12 1.9539E-12 1.0988E-12 4.8848E-13 2.7476E-13 1.7588E-13 1.2217E-13 6.8700E-14 4.3963E-14 INCOHERENT SCATTERING CROSS SECTION 8.7765E-03 3.5039E-02 3.6910E-03 1.5301E-02 2.1243E-02 3.2059E-02 4.2119E-02 5.1328E-02 5.9664E-02 6.7999E-02 6.7999E-02 7.3952E-02 8.5414E-02 1.0468E-01 1.1624E-01 1.2864E-01 1.3382E-01 1.3555E-01 1.3555E-01 1.3317E-01 1.2961E-01 1.2002E-01 1.1139E-01 1.0406E-01 1.0406E-01 9.7880E-02 8.8099E-02 8.4144E-02 8.0648E-02 7.7527E-02 7.4717E-02 7.2170E-02 6.7713E-02 6.5746E-02 6.3923E-02 6.0643E-02 5.9157E-02 5.8532E-02 5.2924E-02 5.1868E-02 4.9904E-02 4.8115E-02 4.6478E-02 4.3577E-02 4.1074E-02 4.0567E-02 3.8885E-02 3.5243E-02 3.2317E-02 2.6969E-02 2.3292E-02 2.0585E-02 1.8504E-02 1.6843E-02 1.5474E-02 1.4342E-02 1.3371E-02 1.2541E-02 1.1818E-02 1.1182E-02 1.0615E-02 1.0108E-02 9.2391E-03 8.5199E-03 7.9138E-03 7.3952E-03 6.9444E-03 6.5508E-03 6.2025E-03 4.9290E-03 4.1138E-03 3.5445E-03 2.7961E-03 2.3206E-03 1.6520E-03 1.2961E-03 9.1830E-04 7.1924E-04 5.9534E-04 5.0973E-04 3.9812E-04 3.2749E-04 2.2871E-04 1.7706E-04 1.2315E-04 9.5011E-05 7.7683E-05 6.5875E-05 5.0757E-05 4.1440E-05 2.8640E-05 2.2019E-05 1.5183E-05 1.1657E-05 9.4925E-06 8.0249E-06 6.1529E-06 5.0056E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 9.0806E+03 2.4228E+06 4.8804E+04 3.3957E+03 1.6229E+03 5.5426E+02 2.5384E+02 1.3738E+02 8.2719E+01 5.1382E+01 4.0588E+02 3.0398E+02 1.6941E+02 5.6235E+01 2.5050E+01 7.7629E+00 3.3159E+00 1.6973E+00 9.7761E-01 4.0599E-01 2.0445E-01 5.8607E-02 2.4327E-02 1.2431E-02 1.2431E-02 7.2658E-03 3.2091E-03 2.3280E-03 1.7620E-03 1.3801E-03 1.1096E-03 9.1090E-04 6.5058E-04 5.6504E-04 4.9839E-04 3.9516E-04 3.5143E-04 3.3353E-04 2.2559E-04 2.1038E-04 1.8410E-04 1.6272E-04 1.4536E-04 1.1912E-04 1.0035E-04 9.6920E-05 8.6334E-05 6.7029E-05 5.4477E-05 3.6695E-05 2.7465E-05 2.1879E-05 1.8148E-05 1.5485E-05 1.3501E-05 1.1959E-05 1.0727E-05 9.7254E-06 8.8940E-06 8.1921E-06 7.5925E-06 7.0738E-06 6.2230E-06 5.5545E-06 5.0153E-06 4.5710E-06 4.1990E-06 3.8820E-06 3.6102E-06 2.6732E-06 2.1221E-06 1.7588E-06 1.3112E-06 1.0446E-06 6.9272E-07 5.1814E-07 3.4453E-07 2.5804E-07 2.0628E-07 1.7178E-07 1.2875E-07 1.0297E-07 6.8614E-08 5.1447E-08 3.4291E-08 2.5707E-08 2.0564E-08 1.7135E-08 1.2854E-08 1.0283E-08 6.8549E-09 5.1404E-09 3.4269E-09 2.5707E-09 2.0564E-09 1.7135E-09 1.2854E-09 1.0281E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 7.0307E-05 1.1146E-04 2.1960E-04 3.5800E-04 5.2255E-04 9.1451E-04 1.3641E-03 1.4676E-03 1.8415E-03 2.8177E-03 3.7806E-03 6.0386E-03 8.0325E-03 9.8095E-03 1.1387E-02 1.2811E-02 1.4094E-02 1.5258E-02 1.6315E-02 1.7286E-02 1.8170E-02 1.9011E-02 1.9787E-02 2.0521E-02 2.1858E-02 2.3055E-02 2.4144E-02 2.5125E-02 2.6031E-02 2.6850E-02 2.7616E-02 3.0711E-02 3.3029E-02 3.4841E-02 3.7558E-02 3.9499E-02 4.2626E-02 4.4513E-02 4.6713E-02 4.7996E-02 4.8837E-02 4.9441E-02 5.0250E-02 5.0768E-02 5.1533E-02 5.1943E-02 5.2396E-02 5.2633E-02 5.2795E-02 5.2892E-02 5.3032E-02 5.3118E-02 5.3248E-02 5.3313E-02 5.3377E-02 5.3410E-02 5.3442E-02 5.3453E-02 5.3474E-02 5.3485E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.0822E-07 3.2105E-06 1.1312E-05 4.6174E-05 9.1981E-05 1.4126E-04 1.9032E-04 2.3799E-04 2.8360E-04 3.2695E-04 3.6803E-04 4.0685E-04 4.4352E-04 4.7845E-04 5.1145E-04 5.4294E-04 6.0138E-04 6.5476E-04 7.0361E-04 7.4868E-04 7.9041E-04 8.2923E-04 8.6547E-04 1.0163E-03 1.1322E-03 1.2250E-03 1.3652E-03 1.4687E-03 1.6434E-03 1.7534E-03 1.8903E-03 1.9733E-03 2.0305E-03 2.0725E-03 2.1308E-03 2.1707E-03 2.2289E-03 2.2634E-03 2.3001E-03 2.3216E-03 2.3346E-03 2.3443E-03 2.3572E-03 2.3648E-03 2.3756E-03 2.3820E-03 2.3885E-03 2.3917E-03 2.3939E-03 2.3960E-03 2.3971E-03 2.3982E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Po.mat0000644000276300001750000002161613136054446020343 0ustar solebliss00000000000000Po 1 84 1.000000 10 6 3 3 3 3 6 3 3 8 79 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.6830E-03 2.6830E-03 2.7399E-03 2.7980E-03 2.7980E-03 3.0000E-03 3.3019E-03 3.3019E-03 3.5673E-03 3.8541E-03 3.8541E-03 4.0000E-03 4.1494E-03 4.1494E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.3814E-02 1.3814E-02 1.5000E-02 1.6244E-02 1.6244E-02 1.6588E-02 1.6939E-02 1.6939E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 9.3105E-02 9.3105E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.2996E+01 5.7163E+01 1.4307E+01 1.2452E+01 1.1838E+01 1.0993E+01 1.0993E+01 1.0924E+01 1.0852E+01 1.0852E+01 1.0607E+01 1.0262E+01 1.0262E+01 9.9648E+00 9.6478E+00 9.6478E+00 9.4893E+00 9.3337E+00 9.3337E+00 8.5066E+00 7.6450E+00 6.2474E+00 5.1927E+00 3.7922E+00 3.7922E+00 3.4666E+00 3.1669E+00 3.1669E+00 3.0915E+00 3.0171E+00 3.0171E+00 2.4595E+00 1.4475E+00 9.6939E-01 6.9131E-01 5.1783E-01 3.2534E-01 2.5338E-01 2.5338E-01 2.2503E-01 1.1126E-01 6.6393E-02 4.4306E-02 3.1727E-02 2.3845E-02 1.8572E-02 1.4870E-02 1.2172E-02 1.0147E-02 8.5873E-03 7.3610E-03 5.5816E-03 4.9247E-03 4.3774E-03 3.5253E-03 3.1900E-03 3.0574E-03 2.0601E-03 1.9071E-03 1.6482E-03 1.4385E-03 1.2663E-03 1.0031E-03 8.1435E-04 7.8006E-04 6.7439E-04 4.8396E-04 3.6395E-04 2.0509E-04 1.3137E-04 9.1291E-05 6.7085E-05 5.1380E-05 4.0602E-05 3.2880E-05 2.7183E-05 2.2843E-05 1.9466E-05 1.6786E-05 1.4621E-05 1.2852E-05 1.0155E-05 8.2242E-06 6.7978E-06 5.7114E-06 4.8671E-06 4.1957E-06 3.6568E-06 2.0566E-06 1.3160E-06 9.1406E-07 5.1409E-07 3.2908E-07 1.4624E-07 8.2242E-08 3.6568E-08 2.0563E-08 1.3160E-08 9.1406E-09 5.1409E-09 3.2908E-09 1.4624E-09 8.2242E-10 3.6568E-10 2.0563E-10 1.3160E-10 9.1406E-11 5.1409E-11 3.2908E-11 1.4624E-11 8.2242E-12 3.6568E-12 2.0563E-12 1.3160E-12 9.1406E-13 5.1409E-13 3.2908E-13 INCOHERENT SCATTERING CROSS SECTION 3.4868E-03 3.0419E-03 1.2631E-03 6.5557E-03 9.7227E-03 1.3907E-02 1.3907E-02 1.4244E-02 1.4587E-02 1.4587E-02 1.5760E-02 1.7440E-02 1.7440E-02 1.8877E-02 2.0388E-02 2.0388E-02 2.1137E-02 2.1895E-02 2.1895E-02 2.5975E-02 3.0459E-02 3.8729E-02 4.6049E-02 5.7114E-02 5.7114E-02 5.9996E-02 6.2733E-02 6.2733E-02 6.3454E-02 6.4174E-02 6.4174E-02 6.9765E-02 8.3049E-02 9.1060E-02 9.5757E-02 9.8408E-02 1.0040E-01 1.0040E-01 1.0040E-01 1.0014E-01 9.6103E-02 9.0916E-02 8.5952E-02 8.1522E-02 7.7627E-02 7.4174E-02 7.1085E-02 6.8324E-02 6.5848E-02 6.3598E-02 6.1531E-02 5.7859E-02 5.6221E-02 5.4697E-02 5.1953E-02 5.0717E-02 5.0198E-02 4.5472E-02 4.4575E-02 4.2905E-02 4.1380E-02 3.9981E-02 3.7498E-02 3.5358E-02 3.4926E-02 3.3491E-02 3.0376E-02 2.7866E-02 2.3258E-02 2.0091E-02 1.7762E-02 1.5967E-02 1.4532E-02 1.3359E-02 1.2380E-02 1.1547E-02 1.0829E-02 1.0201E-02 9.6506E-03 9.1636E-03 8.7256E-03 7.9764E-03 7.3540E-03 6.8324E-03 6.3828E-03 5.9938E-03 5.6538E-03 5.3541E-03 4.2562E-03 3.5531E-03 3.0603E-03 2.4137E-03 2.0033E-03 1.4267E-03 1.1187E-03 7.9274E-04 6.2099E-04 5.1409E-04 4.4003E-04 3.4378E-04 2.8278E-04 1.9748E-04 1.5284E-04 1.0628E-04 8.2041E-05 6.7085E-05 5.6884E-05 4.3830E-05 3.5790E-05 2.4725E-05 1.9010E-05 1.3109E-05 1.0066E-05 8.1954E-06 6.9275E-06 5.3109E-06 4.3225E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 5.7114E+03 5.0785E+05 2.2052E+04 2.5915E+03 1.4114E+03 7.3713E+02 2.1947E+03 1.9674E+03 1.7641E+03 2.7007E+03 2.1439E+03 1.6829E+03 1.9457E+03 1.6083E+03 1.3296E+03 1.4094E+03 1.2895E+03 1.1806E+03 1.2322E+03 7.8467E+02 5.0083E+02 2.4310E+02 1.3745E+02 5.9506E+01 1.4748E+02 1.1841E+02 9.5267E+01 1.3284E+02 1.2633E+02 1.2011E+02 1.3887E+02 9.1002E+01 3.1496E+01 1.4633E+01 8.0139E+00 4.8815E+00 2.2235E+00 1.4662E+00 6.7863E+00 5.6653E+00 1.9624E+00 9.2011E-01 5.1285E-01 3.2015E-01 2.1664E-01 1.5552E-01 1.1678E-01 9.0858E-02 7.2752E-02 5.9621E-02 4.9800E-02 3.6386E-02 3.1698E-02 2.7905E-02 2.2195E-02 2.0007E-02 1.9151E-02 1.2921E-02 1.1994E-02 1.0442E-02 9.2011E-03 8.1941E-03 6.6655E-03 5.5645E-03 5.3627E-03 4.7431E-03 3.6262E-03 2.9076E-03 1.9016E-03 1.3930E-03 1.0910E-03 8.9331E-04 7.5442E-04 6.5183E-04 5.7316E-04 5.1120E-04 4.6106E-04 4.1957E-04 3.8499E-04 3.5560E-04 3.3024E-04 2.8903E-04 2.5684E-04 2.3105E-04 2.0993E-04 1.9235E-04 1.7745E-04 1.6469E-04 1.2109E-04 9.5700E-05 7.9101E-05 5.8699E-05 4.6683E-05 3.0862E-05 2.3047E-05 1.5299E-05 1.1449E-05 9.1492E-06 7.6162E-06 5.7057E-06 4.5616E-06 3.0401E-06 2.2785E-06 1.5183E-06 1.1385E-06 9.1060E-07 7.5874E-07 5.6913E-07 4.5530E-07 3.0344E-07 2.2756E-07 1.5172E-07 1.1377E-07 9.1031E-08 7.5845E-08 5.6884E-08 4.5501E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.9997E-04 6.3127E-04 1.2191E-03 1.9212E-03 2.6793E-03 4.2298E-03 5.7575E-03 6.0918E-03 7.2498E-03 1.0001E-02 1.2475E-02 1.7823E-02 2.2298E-02 2.6160E-02 2.9566E-02 3.2620E-02 3.5415E-02 3.7980E-02 4.0343E-02 4.2562E-02 4.4637E-02 4.6567E-02 4.8383E-02 5.0054E-02 5.3109E-02 5.5818E-02 5.8296E-02 6.0543E-02 6.2618E-02 6.4491E-02 6.6249E-02 7.3338E-02 7.8611E-02 8.2703E-02 8.8697E-02 9.2904E-02 9.9590E-02 1.0357E-01 1.0818E-01 1.1080E-01 1.1253E-01 1.1377E-01 1.1541E-01 1.1648E-01 1.1800E-01 1.1884E-01 1.1973E-01 1.2022E-01 1.2054E-01 1.2074E-01 1.2103E-01 1.2120E-01 1.2143E-01 1.2158E-01 1.2172E-01 1.2178E-01 1.2184E-01 1.2186E-01 1.2189E-01 1.2192E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3259E-08 2.7645E-06 9.7342E-06 3.9680E-05 7.8900E-05 1.2091E-04 1.6270E-04 2.0307E-04 2.4160E-04 2.7814E-04 3.1266E-04 3.4493E-04 3.7548E-04 4.0458E-04 4.3196E-04 4.5789E-04 5.0602E-04 5.4924E-04 5.8901E-04 6.2532E-04 6.5874E-04 6.8958E-04 7.1839E-04 8.3625E-04 9.2472E-04 9.9446E-04 1.0982E-03 1.1731E-03 1.2953E-03 1.3708E-03 1.4624E-03 1.5166E-03 1.5535E-03 1.5806E-03 1.6175E-03 1.6417E-03 1.6777E-03 1.6982E-03 1.7201E-03 1.7333E-03 1.7411E-03 1.7466E-03 1.7538E-03 1.7587E-03 1.7647E-03 1.7685E-03 1.7719E-03 1.7742E-03 1.7757E-03 1.7762E-03 1.7771E-03 1.7780E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Pb.mat0000644000276300001750000002174213136054446020326 0ustar solebliss00000000000000Pb 1 82 1.000000 10 6 3 3 3 3 7 3 3 8 79 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.4840E-03 2.4840E-03 2.5343E-03 2.5856E-03 2.5856E-03 3.0000E-03 3.0664E-03 3.0664E-03 3.3013E-03 3.5542E-03 3.5542E-03 3.6995E-03 3.8507E-03 3.8507E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.3035E-02 1.3035E-02 1.5000E-02 1.5200E-02 1.5200E-02 1.5527E-02 1.5861E-02 1.5861E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 8.8004E-02 8.8004E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.2509E+01 5.4318E+01 1.3723E+01 1.2009E+01 1.1437E+01 1.0876E+01 1.0876E+01 1.0817E+01 1.0757E+01 1.0757E+01 1.0268E+01 1.0193E+01 1.0193E+01 9.9294E+00 9.6523E+00 9.6523E+00 9.4962E+00 9.3355E+00 9.3355E+00 9.1785E+00 8.2078E+00 7.3620E+00 6.0018E+00 4.9816E+00 3.8510E+00 3.8510E+00 3.3075E+00 3.2581E+00 3.2581E+00 3.1804E+00 3.1041E+00 3.1041E+00 2.3379E+00 1.3771E+00 9.2018E-01 6.5453E-01 4.9003E-01 3.0779E-01 2.6318E-01 2.6318E-01 2.1275E-01 1.0492E-01 6.2605E-02 4.1757E-02 2.9878E-02 2.2436E-02 1.7462E-02 1.3974E-02 1.1434E-02 9.5268E-03 8.0595E-03 6.9071E-03 5.2373E-03 4.6212E-03 4.1080E-03 3.3071E-03 2.9907E-03 2.8655E-03 1.9305E-03 1.7871E-03 1.5441E-03 1.3474E-03 1.1861E-03 9.3973E-04 7.6265E-04 7.3039E-04 6.3114E-04 4.5286E-04 3.4063E-04 1.9191E-04 1.2294E-04 8.5420E-05 6.2779E-05 4.8072E-05 3.7987E-05 3.0779E-05 2.5431E-05 2.1371E-05 1.8212E-05 1.5703E-05 1.3681E-05 1.2024E-05 9.5011E-06 7.6962E-06 6.3593E-06 5.3449E-06 4.5544E-06 3.9266E-06 3.4209E-06 1.9241E-06 1.2315E-06 8.5507E-07 4.8102E-07 3.0779E-07 1.3684E-07 7.6962E-08 3.4209E-08 1.9241E-08 1.2315E-08 8.5507E-09 4.8102E-09 3.0779E-09 1.3684E-09 7.6962E-10 3.4209E-10 1.9241E-10 1.2315E-10 8.5507E-11 4.8102E-11 3.0779E-11 1.3684E-11 7.6962E-12 3.4209E-12 1.9241E-12 1.2315E-12 8.5507E-13 4.8102E-13 3.0779E-13 INCOHERENT SCATTERING CROSS SECTION 3.5865E-03 3.8267E-03 1.3496E-03 6.6005E-03 9.6203E-03 1.2399E-02 1.2399E-02 1.2683E-02 1.2971E-02 1.2971E-02 1.5247E-02 1.5605E-02 1.5605E-02 1.6838E-02 1.8130E-02 1.8130E-02 1.8866E-02 1.9627E-02 1.9627E-02 2.0371E-02 2.5155E-02 2.9704E-02 3.8074E-02 4.5399E-02 5.4350E-02 5.4350E-02 5.9204E-02 5.9640E-02 5.9640E-02 6.0370E-02 6.1122E-02 6.1122E-02 6.8970E-02 8.2281E-02 9.0187E-02 9.4779E-02 9.7337E-02 9.9226E-02 9.9284E-02 9.9284E-02 9.8935E-02 9.4837E-02 8.9664E-02 8.4749E-02 8.0363E-02 7.6504E-02 7.3097E-02 7.0067E-02 6.7342E-02 6.4873E-02 6.2634E-02 6.0597E-02 5.6990E-02 5.5368E-02 5.3846E-02 5.1126E-02 4.9933E-02 4.9438E-02 4.4759E-02 4.3875E-02 4.2243E-02 4.0748E-02 3.9358E-02 3.6888E-02 3.4819E-02 3.4412E-02 3.3038E-02 2.9951E-02 2.7437E-02 2.2900E-02 1.9781E-02 1.7488E-02 1.5721E-02 1.4308E-02 1.3155E-02 1.2187E-02 1.1367E-02 1.0661E-02 1.0045E-02 9.5040E-03 9.0216E-03 8.5914E-03 7.8532E-03 7.2428E-03 6.7255E-03 6.2866E-03 5.9030E-03 5.5687E-03 5.2723E-03 4.1882E-03 3.4964E-03 3.0140E-03 2.3763E-03 1.9723E-03 1.4047E-03 1.1012E-03 7.8067E-04 6.1122E-04 5.0601E-04 4.3335E-04 3.3831E-04 2.7841E-04 1.9444E-04 1.5050E-04 1.0463E-04 8.0770E-05 6.6034E-05 5.6007E-05 4.3132E-05 3.5226E-05 2.4344E-05 1.8717E-05 1.2907E-05 9.9080E-06 8.0683E-06 6.8214E-06 5.2316E-06 4.2550E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 5.1967E+03 4.7834E+05 2.0277E+04 2.3443E+03 1.2739E+03 7.8997E+02 1.3849E+03 1.6362E+03 1.9328E+03 2.4391E+03 1.9546E+03 1.8468E+03 2.1359E+03 1.7817E+03 1.4861E+03 1.5750E+03 1.4319E+03 1.3018E+03 1.3585E+03 1.2419E+03 7.2225E+02 4.5980E+02 2.2263E+02 1.2562E+02 6.3099E+01 1.5820E+02 1.0821E+02 1.0446E+02 1.4521E+02 1.3801E+02 1.3120E+02 1.5166E+02 8.3967E+01 2.8858E+01 1.3349E+01 7.2923E+00 4.4323E+00 2.0124E+00 1.5474E+00 7.3213E+00 5.2374E+00 1.8148E+00 8.4635E-01 4.7015E-01 2.9297E-01 1.9781E-01 1.4172E-01 1.0626E-01 8.2572E-02 6.6032E-02 5.4060E-02 4.5132E-02 3.2963E-02 2.8710E-02 2.5266E-02 2.0080E-02 1.8095E-02 1.7319E-02 1.1684E-02 1.0847E-02 9.4437E-03 8.3211E-03 7.4081E-03 6.0237E-03 5.0339E-03 4.8537E-03 4.2974E-03 3.2848E-03 2.6315E-03 1.7226E-03 1.2626E-03 9.8935E-04 8.1031E-04 6.8447E-04 5.9146E-04 5.2025E-04 4.6416E-04 4.1853E-04 3.8103E-04 3.4964E-04 3.2291E-04 2.9994E-04 2.6254E-04 2.3336E-04 2.0993E-04 1.9078E-04 1.7479E-04 1.6128E-04 1.4968E-04 1.1007E-04 8.6990E-05 7.1905E-05 5.3391E-05 4.2434E-05 2.8065E-05 2.0961E-05 1.3916E-05 1.0414E-05 8.3211E-06 6.9289E-06 5.1909E-06 4.1504E-06 2.7646E-06 2.0726E-06 1.3811E-06 1.0356E-06 8.2833E-07 6.9028E-07 5.1764E-07 4.1417E-07 2.7602E-07 2.0703E-07 1.3800E-07 1.0350E-07 8.2804E-08 6.8999E-08 5.1735E-08 4.1388E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.7813E-04 5.9561E-04 1.1473E-03 1.8064E-03 2.5203E-03 3.9906E-03 5.4496E-03 5.7693E-03 6.8789E-03 9.5277E-03 1.1922E-02 1.7122E-02 2.1476E-02 2.5228E-02 2.8530E-02 3.1506E-02 3.4209E-02 3.6708E-02 3.9004E-02 4.1155E-02 4.3161E-02 4.5050E-02 4.6794E-02 4.8421E-02 5.1386E-02 5.4031E-02 5.6414E-02 5.8594E-02 6.0570E-02 6.2401E-02 6.4087E-02 7.0975E-02 7.6061E-02 8.0014E-02 8.5827E-02 8.9925E-02 9.6377E-02 1.0021E-01 1.0466E-01 1.0722E-01 1.0888E-01 1.1007E-01 1.1167E-01 1.1268E-01 1.1416E-01 1.1498E-01 1.1585E-01 1.1632E-01 1.1661E-01 1.1681E-01 1.1707E-01 1.1725E-01 1.1748E-01 1.1762E-01 1.1774E-01 1.1780E-01 1.1786E-01 1.1789E-01 1.1791E-01 1.1794E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1886E-08 2.7230E-06 9.5854E-06 3.9063E-05 7.7689E-05 1.1911E-04 1.6023E-04 2.0002E-04 2.3798E-04 2.7399E-04 3.0808E-04 3.4005E-04 3.6999E-04 3.9876E-04 4.2550E-04 4.5108E-04 4.9845E-04 5.4147E-04 5.8042E-04 6.1645E-04 6.4930E-04 6.7982E-04 7.0830E-04 8.2456E-04 9.1204E-04 9.8063E-04 1.0832E-03 1.1571E-03 1.2777E-03 1.3521E-03 1.4425E-03 1.4959E-03 1.5323E-03 1.5587E-03 1.5951E-03 1.6189E-03 1.6546E-03 1.6747E-03 1.6962E-03 1.7093E-03 1.7171E-03 1.7224E-03 1.7296E-03 1.7343E-03 1.7404E-03 1.7442E-03 1.7476E-03 1.7497E-03 1.7511E-03 1.7520E-03 1.7529E-03 1.7535E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ar.mat0000644000276300001750000001667613136054446020341 0ustar solebliss00000000000000Argon 1 18 1.000000 2 7 91 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 3.2029E-03 3.2029E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 3.0421E+00 5.3009E+01 3.6182E+00 2.8220E+00 2.5703E+00 2.0834E+00 1.9929E+00 1.9929E+00 1.6944E+00 1.4088E+00 1.2015E+00 9.2455E-01 7.4108E-01 4.5556E-01 3.0165E-01 1.6160E-01 1.0215E-01 7.0701E-02 5.1782E-02 3.1069E-02 2.0638E-02 9.6329E-03 5.5491E-03 3.5990E-03 3.5990E-03 2.5190E-03 1.4284E-03 1.1312E-03 9.1791E-04 7.5959E-04 6.3888E-04 5.4477E-04 4.0960E-04 3.6014E-04 3.1913E-04 2.5564E-04 2.3080E-04 2.2100E-04 1.4779E-04 1.3665E-04 1.1784E-04 1.0268E-04 9.0271E-05 7.1358E-05 5.7782E-05 5.5310E-05 4.7726E-05 3.4180E-05 2.5688E-05 1.4449E-05 9.2485E-06 6.4219E-06 4.7185E-06 3.6135E-06 2.8552E-06 2.3125E-06 1.9115E-06 1.6055E-06 1.3682E-06 1.1796E-06 1.0277E-06 9.0314E-07 7.1365E-07 5.7797E-07 4.7772E-07 4.0145E-07 3.4205E-07 2.9487E-07 2.5688E-07 1.4451E-07 9.2485E-08 6.4219E-08 3.6120E-08 2.3125E-08 1.0275E-08 5.7797E-09 2.5688E-09 1.4451E-09 9.2485E-10 6.4219E-10 3.6120E-10 2.3125E-10 1.0275E-10 5.7797E-11 2.5688E-11 1.4451E-11 9.2485E-12 6.4219E-12 3.6120E-12 2.3125E-12 1.0275E-12 5.7797E-13 2.5688E-13 1.4451E-13 9.2485E-14 6.4219E-14 3.6120E-14 2.3125E-14 INCOHERENT SCATTERING CROSS SECTION 7.0792E-03 3.6991E-03 2.2891E-03 1.4202E-02 2.2040E-02 3.7175E-02 4.0009E-02 4.0009E-02 5.0230E-02 6.0993E-02 6.9707E-02 8.2927E-02 9.2877E-02 1.1050E-01 1.2132E-01 1.3156E-01 1.3509E-01 1.3587E-01 1.3530E-01 1.3216E-01 1.2803E-01 1.1758E-01 1.0868E-01 1.0132E-01 1.0132E-01 9.5183E-02 8.5535E-02 8.1649E-02 7.8224E-02 7.5175E-02 7.2435E-02 6.9951E-02 6.5607E-02 6.3692E-02 6.1918E-02 5.8735E-02 5.7300E-02 5.6697E-02 5.1255E-02 5.0226E-02 4.8315E-02 4.6582E-02 4.5002E-02 4.2205E-02 3.9768E-02 3.9270E-02 3.7630E-02 3.4115E-02 3.1296E-02 2.6095E-02 2.2537E-02 1.9929E-02 1.7909E-02 1.6296E-02 1.4981E-02 1.3881E-02 1.2946E-02 1.2141E-02 1.1439E-02 1.0821E-02 1.0274E-02 9.7836E-03 8.9425E-03 8.2460E-03 7.6596E-03 7.1576E-03 6.7204E-03 6.3390E-03 6.0028E-03 4.7697E-03 3.9828E-03 3.4311E-03 2.7060E-03 2.2462E-03 1.5995E-03 1.2539E-03 8.8882E-04 6.9601E-04 5.7616E-04 4.9340E-04 3.8532E-04 3.1703E-04 2.2145E-04 1.7140E-04 1.1914E-04 9.1957E-05 7.5194E-05 6.3752E-05 4.9129E-05 4.0099E-05 2.7723E-05 2.1316E-05 1.4695E-05 1.1282E-05 9.1882E-06 7.7666E-06 5.9546E-06 4.8451E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 3.1808E+03 1.3090E+06 1.9479E+04 1.1018E+03 5.0938E+02 1.6824E+02 1.4038E+02 1.2729E+03 7.5541E+02 4.2104E+02 2.5808E+02 1.1698E+02 6.2320E+01 1.9266E+01 8.2068E+00 2.4029E+00 9.9088E-01 4.9461E-01 2.7934E-01 1.1275E-01 5.5642E-02 1.5437E-02 6.2802E-03 3.1655E-03 3.1655E-03 1.8316E-03 7.9792E-04 5.7610E-04 4.3446E-04 3.3932E-04 2.7210E-04 2.2278E-04 1.5874E-04 1.3806E-04 1.2212E-04 9.6989E-05 8.5867E-05 8.1239E-05 5.5039E-05 5.1395E-05 4.5008E-05 3.9783E-05 3.5565E-05 2.9234E-05 2.4708E-05 2.3879E-05 2.1314E-05 1.6618E-05 1.3554E-05 9.1972E-06 6.9194E-06 5.5310E-06 4.6009E-06 3.9346E-06 3.4356E-06 3.0482E-06 2.7391E-06 2.4859E-06 2.2748E-06 2.0969E-06 1.9447E-06 1.8135E-06 1.5964E-06 1.4265E-06 1.2889E-06 1.1754E-06 1.0803E-06 9.9932E-07 9.2967E-07 6.8938E-07 5.4767E-07 4.5436E-07 3.3873E-07 2.6999E-07 1.7924E-07 1.3408E-07 8.9168E-08 6.6797E-08 5.3395E-08 4.4486E-08 3.3346E-08 2.6668E-08 1.7773E-08 1.3322E-08 8.8791E-09 6.6586E-09 5.3260E-09 4.4381E-09 3.3285E-09 2.6622E-09 1.7758E-09 1.3314E-09 8.8761E-10 6.6571E-10 5.3260E-10 4.4381E-10 3.3285E-10 2.6622E-10 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 4.2602E-05 6.8391E-05 1.3745E-04 2.2718E-04 3.3448E-04 5.9064E-04 8.8641E-04 9.5515E-04 1.2040E-03 1.8551E-03 2.4994E-03 4.0250E-03 5.3787E-03 6.5893E-03 7.6671E-03 8.6364E-03 9.5138E-03 1.0310E-02 1.1032E-02 1.1694E-02 1.2307E-02 1.2879E-02 1.3412E-02 1.3913E-02 1.4828E-02 1.5648E-02 1.6386E-02 1.7065E-02 1.7668E-02 1.8241E-02 1.8768E-02 2.0924E-02 2.2537E-02 2.3788E-02 2.5658E-02 2.6999E-02 2.9185E-02 3.0512E-02 3.2095E-02 3.3014E-02 3.3617E-02 3.4054E-02 3.4642E-02 3.5019E-02 3.5577E-02 3.5878E-02 3.6210E-02 3.6391E-02 3.6496E-02 3.6572E-02 3.6677E-02 3.6738E-02 3.6828E-02 3.6888E-02 3.6934E-02 3.6964E-02 3.6979E-02 3.6979E-02 3.6994E-02 3.7009E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.0475E-07 3.1076E-06 1.0949E-05 4.4697E-05 8.9063E-05 1.3677E-04 1.8437E-04 2.3065E-04 2.7482E-04 3.1703E-04 3.5697E-04 3.9466E-04 4.3039E-04 4.6431E-04 4.9657E-04 5.2717E-04 5.8430E-04 6.3631E-04 6.8425E-04 7.2842E-04 7.6927E-04 8.0741E-04 8.4284E-04 9.9148E-04 1.1060E-03 1.1980E-03 1.3387E-03 1.4431E-03 1.6206E-03 1.7336E-03 1.8768E-03 1.9628E-03 2.0231E-03 2.0683E-03 2.1286E-03 2.1708E-03 2.2311E-03 2.2658E-03 2.3050E-03 2.3276E-03 2.3411E-03 2.3502E-03 2.3638E-03 2.3713E-03 2.3818E-03 2.3894E-03 2.3954E-03 2.3984E-03 2.4014E-03 2.4029E-03 2.4045E-03 2.4060E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ta.mat0000644000276300001750000002174213136054446020331 0ustar solebliss00000000000000Ta 1 73 1.000000 10 5 3 3 3 3 7 3 3 8 80 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 1.7351E-03 1.7351E-03 1.7639E-03 1.7932E-03 1.7932E-03 2.0000E-03 2.1940E-03 2.1940E-03 2.3273E-03 2.4687E-03 2.4687E-03 2.5856E-03 2.7080E-03 2.7080E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 9.8811E-03 9.8811E-03 1.0000E-02 1.1136E-02 1.1136E-02 1.1406E-02 1.1681E-02 1.1681E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 6.7416E-02 6.7416E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.1302E+01 4.8296E+01 1.2446E+01 1.0823E+01 1.0580E+01 1.0580E+01 1.0550E+01 1.0520E+01 1.0520E+01 1.0297E+01 1.0084E+01 1.0084E+01 9.9517E+00 9.8113E+00 9.8113E+00 9.6874E+00 9.5550E+00 9.5550E+00 9.2488E+00 8.2737E+00 7.3884E+00 6.6096E+00 5.3383E+00 4.4264E+00 4.4264E+00 4.3765E+00 3.9338E+00 3.9338E+00 3.8384E+00 3.7441E+00 3.7441E+00 2.8322E+00 1.9989E+00 1.1818E+00 7.7811E-01 5.5014E-01 4.1235E-01 3.4180E-01 3.4180E-01 2.5893E-01 1.7765E-01 8.6864E-02 5.1752E-02 3.4426E-02 2.4555E-02 1.8385E-02 1.4274E-02 1.1399E-02 9.3120E-03 7.7494E-03 6.5497E-03 5.6089E-03 4.2467E-03 3.7441E-03 3.3254E-03 2.6737E-03 2.4175E-03 2.3164E-03 1.5579E-03 1.4418E-03 1.2453E-03 1.0863E-03 9.5582E-04 7.5653E-04 6.1370E-04 5.8774E-04 5.0782E-04 3.6410E-04 2.7370E-04 1.5416E-04 9.8712E-05 6.8592E-05 5.0388E-05 3.8606E-05 3.0492E-05 2.4701E-05 2.0418E-05 1.7156E-05 1.4620E-05 1.2607E-05 1.0979E-05 9.6515E-06 7.6247E-06 6.1770E-06 5.1053E-06 4.2899E-06 3.6543E-06 3.1514E-06 2.7454E-06 1.5442E-06 9.8845E-07 6.8626E-07 3.8606E-07 2.4708E-07 1.0983E-07 6.1770E-08 2.7454E-08 1.5442E-08 9.8845E-09 6.8626E-09 3.8606E-09 2.4708E-09 1.0983E-09 6.1770E-10 2.7454E-10 1.5442E-10 9.8845E-11 6.8626E-11 3.8606E-11 2.4708E-11 1.0983E-11 6.1770E-12 2.7454E-12 1.5442E-12 9.8845E-13 6.8626E-13 3.8606E-13 2.4708E-13 INCOHERENT SCATTERING CROSS SECTION 4.4863E-03 1.0980E-02 1.9182E-03 7.6979E-03 9.1390E-03 9.1390E-03 9.3138E-03 9.4918E-03 9.4918E-03 1.0750E-02 1.1921E-02 1.1921E-02 1.2716E-02 1.3552E-02 1.3552E-02 1.4241E-02 1.4960E-02 1.4960E-02 1.6657E-02 2.2268E-02 2.7547E-02 3.2462E-02 4.1069E-02 4.7891E-02 4.7891E-02 4.8291E-02 5.1918E-02 5.1918E-02 5.2747E-02 5.3582E-02 5.3582E-02 6.2402E-02 7.3019E-02 8.7063E-02 9.4851E-02 9.9178E-02 1.0151E-01 1.0244E-01 1.0244E-01 1.0304E-01 1.0247E-01 9.7713E-02 9.2122E-02 8.6957E-02 8.2371E-02 7.8329E-02 7.4782E-02 7.1659E-02 6.8858E-02 6.6314E-02 6.3999E-02 6.1893E-02 5.8188E-02 5.6544E-02 5.5016E-02 5.2248E-02 5.0987E-02 5.0454E-02 4.5662E-02 4.4763E-02 4.3093E-02 4.1568E-02 4.0162E-02 3.7661E-02 3.5511E-02 3.5078E-02 3.3639E-02 3.0504E-02 2.7976E-02 2.3350E-02 2.0168E-02 1.7829E-02 1.6025E-02 1.4587E-02 1.3409E-02 1.2424E-02 1.1588E-02 1.0870E-02 1.0241E-02 9.6881E-03 9.1989E-03 8.7596E-03 8.0041E-03 7.3817E-03 6.8559E-03 6.4066E-03 6.0172E-03 5.6744E-03 5.3749E-03 4.2700E-03 3.5644E-03 3.0718E-03 2.4225E-03 2.0108E-03 1.4321E-03 1.1226E-03 7.9575E-04 6.2335E-04 5.1586E-04 4.4164E-04 3.4512E-04 2.8382E-04 1.9822E-04 1.5343E-04 1.0667E-04 8.2337E-05 6.7328E-05 5.7077E-05 4.3998E-05 3.5910E-05 2.4818E-05 1.9080E-05 1.3159E-05 1.0101E-05 8.2271E-06 6.9524E-06 5.3316E-06 4.3365E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 3.4978E+03 3.4897E+05 1.3984E+04 1.5556E+03 1.1439E+03 1.3928E+03 2.0563E+03 3.0339E+03 3.3714E+03 3.7608E+03 2.9750E+03 3.4546E+03 2.9930E+03 2.5946E+03 2.7577E+03 2.4761E+03 2.2235E+03 2.3197E+03 1.8288E+03 9.1390E+02 5.2551E+02 3.3158E+02 1.5852E+02 9.1523E+01 2.3926E+02 2.3347E+02 1.7506E+02 2.4092E+02 2.2730E+02 2.1446E+02 2.4794E+02 1.3113E+02 6.1270E+01 2.0604E+01 9.3819E+00 5.0687E+00 3.0549E+00 2.2079E+00 1.1355E+01 7.2253E+00 4.0204E+00 1.3462E+00 6.1603E-01 3.3759E-01 2.0801E-01 1.3919E-01 9.9011E-02 7.3812E-02 5.7077E-02 4.5448E-02 3.7075E-02 3.0865E-02 2.2451E-02 1.9523E-02 1.7157E-02 1.3610E-02 1.2261E-02 1.1735E-02 7.9142E-03 7.3485E-03 6.4018E-03 5.6445E-03 5.0275E-03 4.0899E-03 3.4180E-03 3.2955E-03 2.9182E-03 2.2343E-03 1.7935E-03 1.1778E-03 8.6531E-04 6.7927E-04 5.5712E-04 4.7126E-04 4.0769E-04 3.5910E-04 3.2040E-04 2.8918E-04 2.6342E-04 2.4182E-04 2.2345E-04 2.0764E-04 1.8185E-04 1.6171E-04 1.4557E-04 1.3233E-04 1.2128E-04 1.1192E-04 1.0390E-04 7.6480E-05 6.0472E-05 5.0021E-05 3.7142E-05 2.9547E-05 1.9543E-05 1.4600E-05 9.6948E-06 7.2553E-06 5.7976E-06 4.8291E-06 3.6177E-06 2.8921E-06 1.9266E-06 1.4444E-06 9.6249E-07 7.2187E-07 5.7743E-07 4.8091E-07 3.6077E-07 2.8858E-07 1.9240E-07 1.4427E-07 9.6182E-08 7.2120E-08 5.7709E-08 4.8091E-08 3.6077E-08 2.8855E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.1597E-04 4.9359E-04 9.4073E-04 1.4760E-03 2.0643E-03 3.3131E-03 4.5928E-03 4.8757E-03 5.8663E-03 8.2838E-03 1.0520E-02 1.5462E-02 1.9613E-02 2.3180E-02 2.6329E-02 2.9158E-02 3.1730E-02 3.4080E-02 3.6276E-02 3.8306E-02 4.0203E-02 4.2001E-02 4.3631E-02 4.5162E-02 4.7958E-02 5.0421E-02 5.2651E-02 5.4681E-02 5.6544E-02 5.8275E-02 5.9839E-02 6.6296E-02 7.1055E-02 7.4782E-02 8.0207E-02 8.4068E-02 9.0125E-02 9.3753E-02 9.7913E-02 1.0031E-01 1.0187E-01 1.0300E-01 1.0450E-01 1.0547E-01 1.0683E-01 1.0760E-01 1.0843E-01 1.0886E-01 1.0913E-01 1.0933E-01 1.0956E-01 1.0973E-01 1.0996E-01 1.1006E-01 1.1019E-01 1.1026E-01 1.1029E-01 1.1033E-01 1.1036E-01 1.1039E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3631E-08 2.7763E-06 9.7780E-06 3.9871E-05 7.9275E-05 1.2158E-04 1.6361E-04 2.0428E-04 2.4312E-04 2.7993E-04 3.1474E-04 3.4745E-04 3.7841E-04 4.0769E-04 4.3532E-04 4.6161E-04 5.1020E-04 5.5413E-04 5.9440E-04 6.3134E-04 6.6529E-04 6.9690E-04 7.2586E-04 8.4634E-04 9.3653E-04 1.0077E-03 1.1139E-03 1.1908E-03 1.3166E-03 1.3945E-03 1.4887E-03 1.5449E-03 1.5832E-03 1.6111E-03 1.6497E-03 1.6750E-03 1.7130E-03 1.7343E-03 1.7576E-03 1.7716E-03 1.7799E-03 1.7859E-03 1.7935E-03 1.7985E-03 1.8052E-03 1.8092E-03 1.8128E-03 1.8155E-03 1.8168E-03 1.8178E-03 1.8188E-03 1.8195E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ba.mat0000644000276300001750000002123613136054446020305 0ustar solebliss00000000000000Ba 1 56 1.000000 8 4 3 3 7 3 3 8 83 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0622E-03 1.0622E-03 1.0988E-03 1.1367E-03 1.1367E-03 1.2122E-03 1.2928E-03 1.2928E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 5.2470E-03 5.2470E-03 5.4320E-03 5.6236E-03 5.6236E-03 5.8033E-03 5.9888E-03 5.9888E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 3.7441E-02 3.7441E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 8.5205E+00 3.2624E+04 1.1491E+01 8.4592E+00 8.4592E+00 8.4225E+00 8.3846E+00 8.3846E+00 8.3107E+00 8.2311E+00 8.2311E+00 8.0162E+00 7.5119E+00 6.5647E+00 5.7271E+00 5.0343E+00 4.8808E+00 4.8808E+00 4.7739E+00 4.6615E+00 4.6615E+00 4.5523E+00 4.4598E+00 4.4598E+00 4.4554E+00 3.5547E+00 2.8973E+00 1.9054E+00 1.3673E+00 7.8671E-01 5.6570E-01 5.6570E-01 5.1220E-01 3.6420E-01 2.7289E-01 1.6861E-01 1.1432E-01 5.5649E-02 3.2981E-02 2.1776E-02 1.5432E-02 1.1501E-02 8.8977E-03 7.0854E-03 5.7754E-03 4.7988E-03 4.0507E-03 3.4642E-03 2.6162E-03 2.3040E-03 2.0443E-03 1.6414E-03 1.4835E-03 1.4213E-03 9.5379E-04 8.8233E-04 7.6155E-04 6.6393E-04 5.8387E-04 4.6171E-04 3.7428E-04 3.5841E-04 3.0957E-04 2.2184E-04 1.6668E-04 9.3801E-05 6.0078E-05 4.1717E-05 3.0653E-05 2.3470E-05 1.8545E-05 1.5019E-05 1.2415E-05 1.0433E-05 8.8889E-06 7.6654E-06 6.6787E-06 5.8675E-06 4.6352E-06 3.7555E-06 3.1039E-06 2.6083E-06 2.2224E-06 1.9164E-06 1.6695E-06 9.3888E-07 6.0078E-07 4.1730E-07 2.3474E-07 1.5024E-07 6.6787E-08 3.7555E-08 1.6690E-08 9.3888E-09 6.0078E-09 4.1730E-09 2.3474E-09 1.5024E-09 6.6787E-10 3.7555E-10 1.6690E-10 9.3888E-11 6.0078E-11 4.1730E-11 2.3474E-11 1.5024E-11 6.6787E-12 3.7555E-12 1.6690E-12 9.3888E-13 6.0078E-13 4.1730E-13 2.3474E-13 1.5024E-13 INCOHERENT SCATTERING CROSS SECTION 6.8629E-03 3.0597E+02 4.2108E-03 7.3935E-03 7.3935E-03 7.7047E-03 8.0206E-03 8.0206E-03 8.6249E-03 9.2573E-03 9.2573E-03 1.0937E-02 1.4897E-02 2.2510E-02 2.9548E-02 3.5801E-02 3.7209E-02 3.7209E-02 3.8235E-02 3.9270E-02 3.9270E-02 4.0213E-02 4.1164E-02 4.1164E-02 4.1221E-02 5.0343E-02 5.8148E-02 7.3409E-02 8.3758E-02 9.5949E-02 1.0108E-01 1.0108E-01 1.0240E-01 1.0586E-01 1.0761E-01 1.0823E-01 1.0682E-01 1.0082E-01 9.4546E-02 8.8965E-02 8.4109E-02 7.9878E-02 7.6172E-02 7.2901E-02 6.9989E-02 6.7370E-02 6.4989E-02 6.2807E-02 5.8983E-02 5.7315E-02 5.5785E-02 5.2984E-02 5.1658E-02 5.1088E-02 4.6264E-02 4.5355E-02 4.3639E-02 4.2068E-02 4.0637E-02 3.8113E-02 3.5933E-02 3.5490E-02 3.4022E-02 3.0847E-02 2.8294E-02 2.3606E-02 2.0391E-02 1.8023E-02 1.6204E-02 1.4748E-02 1.3555E-02 1.2559E-02 1.1717E-02 1.0985E-02 1.0349E-02 9.7923E-03 9.2967E-03 8.8538E-03 8.0908E-03 7.4637E-03 6.9331E-03 6.4770E-03 6.0823E-03 5.7359E-03 5.4333E-03 4.3173E-03 3.6038E-03 3.1048E-03 2.4487E-03 2.0326E-03 1.4476E-03 1.1349E-03 8.0426E-04 6.3016E-04 5.2141E-04 4.4642E-04 3.4872E-04 2.8688E-04 2.0036E-04 1.5506E-04 1.0783E-04 8.3232E-05 6.8059E-05 5.7710E-05 4.4466E-05 3.6297E-05 2.5084E-05 1.9286E-05 1.3300E-05 1.0209E-05 8.3144E-06 7.0296E-06 5.3895E-06 4.3848E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 8.5337E+03 1.4732E+06 4.0233E+04 7.4593E+03 8.5381E+03 7.9465E+03 7.3979E+03 7.8277E+03 6.8414E+03 5.9815E+03 6.2490E+03 4.4905E+03 2.3110E+03 8.6302E+02 4.1879E+02 2.3632E+02 2.0861E+02 6.0473E+02 5.5664E+02 5.1220E+02 6.9682E+02 6.4494E+02 5.9683E+02 6.8892E+02 6.8542E+02 3.2986E+02 1.8304E+02 6.1481E+01 2.7925E+01 9.0205E+00 4.8326E+00 2.8522E+01 2.3957E+01 1.3318E+01 8.1303E+00 3.6862E+00 1.9742E+00 6.2621E-01 2.7702E-01 1.4809E-01 8.9547E-02 5.9033E-02 4.1480E-02 3.0606E-02 2.3470E-02 1.8565E-02 1.5063E-02 1.2483E-02 9.0149E-03 7.8189E-03 6.8578E-03 5.4264E-03 4.8852E-03 4.6747E-03 3.1530E-03 2.9293E-03 2.5554E-03 2.2558E-03 2.0106E-03 1.6374E-03 1.3713E-03 1.3230E-03 1.1740E-03 9.0216E-04 7.2620E-04 4.8018E-04 3.5464E-04 2.7960E-04 2.3009E-04 1.9510E-04 1.6918E-04 1.4923E-04 1.3340E-04 1.2059E-04 1.0998E-04 1.0104E-04 9.3450E-05 8.6916E-05 7.6216E-05 6.7884E-05 6.1130E-05 5.5649E-05 5.1000E-05 4.7098E-05 4.3765E-05 3.2271E-05 2.5553E-05 2.1146E-05 1.5721E-05 1.2511E-05 8.2837E-06 6.1920E-06 4.1121E-06 3.0789E-06 2.4601E-06 2.0488E-06 1.5353E-06 1.2274E-06 8.1785E-07 6.1306E-07 4.0857E-07 3.0640E-07 2.4509E-07 2.0422E-07 1.5313E-07 1.2252E-07 8.1653E-08 6.1262E-08 4.0831E-08 3.0622E-08 2.4500E-08 2.0418E-08 1.5313E-08 1.2248E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0194E-04 3.1333E-04 5.9341E-04 9.3318E-04 1.3174E-03 2.1760E-03 3.1039E-03 3.3126E-03 4.0550E-03 5.9317E-03 7.7224E-03 1.1757E-02 1.5230E-02 1.8221E-02 2.0878E-02 2.3264E-02 2.5430E-02 2.7417E-02 2.9250E-02 3.0947E-02 3.2534E-02 3.3994E-02 3.5345E-02 3.6599E-02 3.8880E-02 4.0923E-02 4.2774E-02 4.4466E-02 4.6001E-02 4.7405E-02 4.8676E-02 5.3982E-02 5.7885E-02 6.0911E-02 6.5384E-02 6.8585E-02 7.3672E-02 7.6698E-02 8.0250E-02 8.2267E-02 8.3627E-02 8.4592E-02 8.5863E-02 8.6696E-02 8.7880E-02 8.8538E-02 8.9240E-02 8.9635E-02 8.9854E-02 9.0029E-02 9.0248E-02 9.0380E-02 9.0599E-02 9.0687E-02 9.0775E-02 9.0862E-02 9.0906E-02 9.0906E-02 9.0950E-02 9.0950E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4739E-08 2.8091E-06 9.8931E-06 4.0349E-05 8.0294E-05 1.2318E-04 1.6585E-04 2.0720E-04 2.4667E-04 2.8416E-04 3.1964E-04 3.5301E-04 3.8450E-04 4.1441E-04 4.4291E-04 4.6966E-04 5.1921E-04 5.6438E-04 6.0604E-04 6.4375E-04 6.7884E-04 7.1129E-04 7.4155E-04 8.6653E-04 9.6125E-04 1.0362E-03 1.1489E-03 1.2309E-03 1.3664E-03 1.4520E-03 1.5563E-03 1.6195E-03 1.6624E-03 1.6945E-03 1.7383E-03 1.7677E-03 1.8120E-03 1.8374E-03 1.8650E-03 1.8813E-03 1.8914E-03 1.8988E-03 1.9080E-03 1.9142E-03 1.9225E-03 1.9273E-03 1.9317E-03 1.9348E-03 1.9365E-03 1.9374E-03 1.9387E-03 1.9396E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/La.mat0000644000276300001750000002112613136054446020315 0ustar solebliss00000000000000La 1 57 1.000000 8 4 3 3 7 3 3 7 83 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.1234E-03 1.1234E-03 1.1632E-03 1.2044E-03 1.2044E-03 1.2804E-03 1.3613E-03 1.3613E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 5.4827E-03 5.4827E-03 5.6830E-03 5.8906E-03 5.8906E-03 6.0000E-03 6.2663E-03 6.2663E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 3.8925E-02 3.8925E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 8.7359E+00 1.0076E+03 1.0752E+01 8.6058E+00 8.6058E+00 8.5632E+00 8.5191E+00 8.5191E+00 8.4396E+00 8.3544E+00 8.3544E+00 8.2026E+00 7.6737E+00 6.6896E+00 5.8441E+00 5.1331E+00 4.8383E+00 4.8383E+00 4.7245E+00 4.6086E+00 4.6086E+00 4.5479E+00 4.4091E+00 4.4091E+00 3.6379E+00 2.9698E+00 1.9527E+00 1.4038E+00 8.1159E-01 5.5016E-01 5.5016E-01 5.2805E-01 3.7566E-01 2.8172E-01 1.7441E-01 1.1831E-01 5.7618E-02 3.4159E-02 2.2568E-02 1.5998E-02 1.1922E-02 9.2258E-03 7.3524E-03 5.9959E-03 4.9811E-03 4.2032E-03 3.5946E-03 2.7156E-03 2.3919E-03 2.1223E-03 1.7038E-03 1.5399E-03 1.4753E-03 9.9021E-04 9.1603E-04 7.9067E-04 6.8933E-04 6.0622E-04 4.7941E-04 3.8867E-04 3.7220E-04 3.2149E-04 2.3035E-04 1.7307E-04 9.7417E-05 6.2387E-05 4.3324E-05 3.1835E-05 2.4374E-05 1.9258E-05 1.5599E-05 1.2894E-05 1.0834E-05 9.2301E-06 7.9598E-06 6.9323E-06 6.0956E-06 4.8167E-06 3.9006E-06 3.2238E-06 2.7088E-06 2.3082E-06 1.9900E-06 1.7337E-06 9.7504E-07 6.2387E-07 4.3341E-07 2.4378E-07 1.5603E-07 6.9323E-08 3.9006E-08 1.7337E-08 9.7504E-09 6.2387E-09 4.3337E-09 2.4378E-09 1.5603E-09 6.9323E-10 3.9006E-10 1.7337E-10 9.7504E-11 6.2387E-11 4.3337E-11 2.4378E-11 1.5603E-11 6.9323E-12 3.9006E-12 1.7337E-12 9.7504E-13 6.2387E-13 4.3337E-13 2.4378E-13 1.5603E-13 INCOHERENT SCATTERING CROSS SECTION 6.8846E-03 2.9920E+01 3.8766E-03 7.9728E-03 7.9728E-03 8.3195E-03 8.6708E-03 8.6708E-03 9.2951E-03 9.9498E-03 9.9498E-03 1.1103E-02 1.5122E-02 2.2778E-02 2.9828E-02 3.6149E-02 3.8902E-02 3.8902E-02 3.9984E-02 4.1082E-02 4.1082E-02 4.1655E-02 4.3007E-02 4.3007E-02 5.0811E-02 5.8528E-02 7.3702E-02 8.4107E-02 9.6333E-02 1.0227E-01 1.0227E-01 1.0279E-01 1.0626E-01 1.0804E-01 1.0869E-01 1.0734E-01 1.0132E-01 9.5032E-02 8.9451E-02 8.4584E-02 8.0330E-02 7.6607E-02 7.3329E-02 7.0407E-02 6.7774E-02 6.5378E-02 6.3186E-02 5.9343E-02 5.7661E-02 5.6115E-02 5.3299E-02 5.1982E-02 5.1418E-02 4.6519E-02 4.5604E-02 4.3895E-02 4.2331E-02 4.0895E-02 3.8349E-02 3.6157E-02 3.5715E-02 3.4245E-02 3.1048E-02 2.8471E-02 2.3754E-02 2.0520E-02 1.8139E-02 1.6306E-02 1.4840E-02 1.3639E-02 1.2638E-02 1.1788E-02 1.1055E-02 1.0414E-02 9.8544E-03 9.3558E-03 8.9093E-03 8.1419E-03 7.5089E-03 6.9757E-03 6.5161E-03 6.1216E-03 5.7748E-03 5.4670E-03 4.3441E-03 3.6261E-03 3.1245E-03 2.4643E-03 2.0455E-03 1.4567E-03 1.1419E-03 8.0942E-04 6.3384E-04 5.2459E-04 4.4915E-04 3.5091E-04 2.8870E-04 2.0160E-04 1.5603E-04 1.0852E-04 8.3760E-05 6.8456E-05 5.8051E-05 4.4742E-05 3.6526E-05 2.5241E-05 1.9405E-05 1.3383E-05 1.0275E-05 8.3674E-06 7.0711E-06 5.4236E-06 4.4135E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 9.0784E+03 1.6009E+06 4.3077E+04 6.9930E+03 8.0162E+03 7.4384E+03 6.9020E+03 7.3139E+03 6.4241E+03 5.6447E+03 5.8962E+03 4.7646E+03 2.4564E+03 9.1998E+02 4.4698E+02 2.5267E+02 1.9904E+02 5.7141E+02 5.2382E+02 4.7993E+02 6.5031E+02 6.2734E+02 5.6100E+02 6.4728E+02 3.4917E+02 1.9371E+02 6.5291E+01 2.9698E+01 9.6160E+00 4.6172E+00 2.7075E+01 2.5154E+01 1.3990E+01 8.5711E+00 3.8936E+00 2.0897E+00 6.6505E-01 2.9472E-01 1.5778E-01 9.5509E-02 6.3016E-02 4.4308E-02 3.2712E-02 2.5098E-02 1.9862E-02 1.6119E-02 1.3358E-02 9.6503E-03 8.3760E-03 7.3542E-03 5.8240E-03 5.2372E-03 5.0074E-03 3.3777E-03 3.1386E-03 2.7374E-03 2.4157E-03 2.1533E-03 1.7542E-03 1.4684E-03 1.4164E-03 1.2561E-03 9.6500E-04 7.7691E-04 5.1331E-04 3.7913E-04 2.9884E-04 2.4586E-04 2.0845E-04 1.8074E-04 1.5937E-04 1.4246E-04 1.2876E-04 1.1740E-04 1.0791E-04 9.9801E-05 9.2821E-05 8.1376E-05 7.2445E-05 6.5248E-05 5.9395E-05 5.4453E-05 5.0291E-05 4.6692E-05 3.4436E-05 2.7265E-05 2.2562E-05 1.6774E-05 1.3349E-05 8.8356E-06 6.6028E-06 4.3874E-06 3.2841E-06 2.6247E-06 2.1855E-06 1.6375E-06 1.3093E-06 8.7229E-07 6.5421E-07 4.3571E-07 3.2680E-07 2.6143E-07 2.1785E-07 1.6336E-07 1.3067E-07 8.7099E-08 6.5335E-08 4.3571E-08 3.2667E-08 2.6134E-08 2.1777E-08 1.6332E-08 1.3067E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0944E-04 3.2504E-04 6.1559E-04 9.6767E-04 1.3650E-03 2.2501E-03 3.2043E-03 3.4189E-03 4.1816E-03 6.1061E-03 7.9382E-03 1.2057E-02 1.5603E-02 1.8655E-02 2.1361E-02 2.3793E-02 2.6004E-02 2.8028E-02 2.9897E-02 3.1631E-02 3.3248E-02 3.4740E-02 3.6123E-02 3.7402E-02 3.9725E-02 4.1806E-02 4.3701E-02 4.5435E-02 4.6996E-02 4.8427E-02 4.9727E-02 5.5103E-02 5.9092E-02 6.2213E-02 6.6809E-02 7.0060E-02 7.5220E-02 7.8341E-02 8.1939E-02 8.4020E-02 8.5408E-02 8.6362E-02 8.7662E-02 8.8529E-02 8.9743E-02 9.0394E-02 9.1131E-02 9.1521E-02 9.1781E-02 9.1954E-02 9.2171E-02 9.2301E-02 9.2518E-02 9.2605E-02 9.2735E-02 9.2778E-02 9.2821E-02 9.2821E-02 9.2865E-02 9.2865E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5318E-08 2.8264E-06 9.9541E-06 4.0601E-05 8.0812E-05 1.2395E-04 1.6687E-04 2.0845E-04 2.4816E-04 2.8588E-04 3.2156E-04 3.5516E-04 3.8676E-04 4.1689E-04 4.4525E-04 4.7256E-04 5.2242E-04 5.6794E-04 6.0956E-04 6.4771E-04 6.8283E-04 7.1534E-04 7.4569E-04 8.7142E-04 9.6637E-04 1.0418E-03 1.1550E-03 1.2373E-03 1.3739E-03 1.4597E-03 1.5647E-03 1.6279E-03 1.6717E-03 1.7038E-03 1.7480E-03 1.7775E-03 1.8222E-03 1.8473E-03 1.8755E-03 1.8920E-03 1.9019E-03 1.9093E-03 1.9189E-03 1.9249E-03 1.9327E-03 1.9379E-03 1.9423E-03 1.9453E-03 1.9470E-03 1.9483E-03 1.9496E-03 1.9505E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Bi.mat0000644000276300001750000002174213136054446020317 0ustar solebliss00000000000000Bi 1 83 1.000000 10 6 3 3 3 3 7 3 3 8 79 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.5796E-03 2.5796E-03 2.6330E-03 2.6876E-03 2.6876E-03 3.0000E-03 3.1769E-03 3.1769E-03 3.4268E-03 3.6963E-03 3.6963E-03 3.8447E-03 3.9991E-03 3.9991E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.3419E-02 1.3419E-02 1.5000E-02 1.5711E-02 1.5711E-02 1.6046E-02 1.6387E-02 1.6387E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 9.0526E-02 9.0526E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.2697E+01 5.3485E+01 1.3952E+01 1.2172E+01 1.1584E+01 1.0893E+01 1.0893E+01 1.0829E+01 1.0763E+01 1.0763E+01 1.0391E+01 1.0192E+01 1.0192E+01 9.9453E+00 9.6162E+00 9.6162E+00 9.4025E+00 9.2963E+00 9.2963E+00 9.2963E+00 8.3223E+00 7.4722E+00 6.0976E+00 5.0660E+00 3.8067E+00 3.8067E+00 3.3716E+00 3.2015E+00 3.2015E+00 3.1249E+00 3.0488E+00 3.0488E+00 2.3883E+00 1.4063E+00 9.4058E-01 6.6999E-01 5.0170E-01 3.1526E-01 2.5716E-01 2.5716E-01 2.1791E-01 1.0760E-01 6.4204E-02 4.2833E-02 3.0661E-02 2.3035E-02 1.7936E-02 1.4356E-02 1.1749E-02 9.7905E-03 8.2848E-03 7.1029E-03 5.3873E-03 4.7519E-03 4.2212E-03 3.3968E-03 3.0747E-03 2.9480E-03 1.9858E-03 1.8381E-03 1.5886E-03 1.3867E-03 1.2208E-03 9.6691E-04 7.8468E-04 7.5154E-04 6.4956E-04 4.6621E-04 3.5070E-04 1.9757E-04 1.2656E-04 8.7949E-05 6.4636E-05 4.9478E-05 3.9104E-05 3.1670E-05 2.6186E-05 2.2004E-05 1.8751E-05 1.6169E-05 1.4086E-05 1.2380E-05 9.7804E-06 7.9246E-06 6.5472E-06 5.5011E-06 4.6885E-06 4.0430E-06 3.5214E-06 1.9809E-06 1.2679E-06 8.8035E-07 4.9536E-07 3.1698E-07 1.4086E-07 7.9246E-08 3.5214E-08 1.9809E-08 1.2679E-08 8.8035E-09 4.9536E-09 3.1698E-09 1.4086E-09 7.9246E-10 3.5214E-10 1.9809E-10 1.2679E-10 8.8035E-11 4.9536E-11 3.1698E-11 1.4086E-11 7.9246E-12 3.5214E-12 1.9809E-12 1.2679E-12 8.8035E-13 4.9536E-13 3.1698E-13 INCOHERENT SCATTERING CROSS SECTION 3.4984E-03 3.0919E-03 1.2952E-03 6.4895E-03 9.5470E-03 1.2985E-02 1.2985E-02 1.3293E-02 1.3607E-02 1.3607E-02 1.5374E-02 1.6333E-02 1.6333E-02 1.7699E-02 1.9071E-02 1.9071E-02 1.9761E-02 2.0610E-02 2.0610E-02 2.0616E-02 2.5411E-02 2.9912E-02 3.8211E-02 4.5502E-02 5.5472E-02 5.5472E-02 5.9334E-02 6.0919E-02 6.0919E-02 6.1639E-02 6.2359E-02 6.2359E-02 6.9074E-02 8.2301E-02 9.0254E-02 9.4865E-02 9.7458E-02 9.9389E-02 9.9418E-02 9.9418E-02 9.9130E-02 9.5066E-02 8.9908E-02 8.4995E-02 8.0600E-02 7.6729E-02 7.3310E-02 7.0270E-02 6.7546E-02 6.5087E-02 6.2849E-02 6.0800E-02 5.7173E-02 5.5559E-02 5.4057E-02 5.1344E-02 5.0112E-02 4.9594E-02 4.4925E-02 4.4041E-02 4.2393E-02 4.0891E-02 3.9517E-02 3.7077E-02 3.4955E-02 3.4522E-02 3.3092E-02 3.0010E-02 2.7534E-02 2.2981E-02 1.9852E-02 1.7549E-02 1.5777E-02 1.4359E-02 1.3201E-02 1.2230E-02 1.1409E-02 1.0700E-02 1.0080E-02 9.5355E-03 9.0542E-03 8.6220E-03 7.8814E-03 7.2676E-03 6.7518E-03 6.3080E-03 5.9247E-03 5.5876E-03 5.2908E-03 4.2044E-03 3.5099E-03 3.0229E-03 2.3849E-03 1.9794E-03 1.4097E-03 1.1054E-03 7.8353E-04 6.1351E-04 5.0775E-04 4.3484E-04 3.3975E-04 2.7941E-04 1.9515E-04 1.5103E-04 1.0501E-04 8.1062E-05 6.6279E-05 5.6193E-05 4.3312E-05 3.5358E-05 2.4431E-05 1.8783E-05 1.2953E-05 9.9447E-06 8.0975E-06 6.8469E-06 5.2504E-06 4.2706E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 5.4291E+03 4.9123E+05 2.1069E+04 2.4555E+03 1.3359E+03 7.6163E+02 1.7714E+03 1.8082E+03 1.8460E+03 2.5710E+03 2.0428E+03 1.7636E+03 2.0376E+03 1.6918E+03 1.4048E+03 1.4887E+03 1.3550E+03 1.2336E+03 1.2878E+03 1.2870E+03 7.4952E+02 4.7807E+02 2.3172E+02 1.3089E+02 6.1034E+01 1.5215E+02 1.1253E+02 9.9418E+01 1.3835E+02 1.3156E+02 1.2512E+02 1.4463E+02 8.7055E+01 3.0027E+01 1.3921E+01 7.6134E+00 4.6337E+00 2.1071E+00 1.4999E+00 7.0226E+00 5.4204E+00 1.8797E+00 8.7920E-01 4.8924E-01 3.0517E-01 2.0624E-01 1.4789E-01 1.1096E-01 8.6277E-02 6.9030E-02 5.6538E-02 4.7217E-02 3.4502E-02 3.0056E-02 2.6456E-02 2.1031E-02 1.8953E-02 1.8140E-02 1.2238E-02 1.1362E-02 9.8922E-03 8.7171E-03 7.7617E-03 6.3117E-03 5.2706E-03 5.0804E-03 4.4951E-03 3.4363E-03 2.7546E-03 1.8028E-03 1.3210E-03 1.0348E-03 8.4721E-04 7.1552E-04 6.1841E-04 5.4406E-04 4.8499E-04 4.3744E-04 3.9825E-04 3.6540E-04 3.3744E-04 3.1353E-04 2.7436E-04 2.4385E-04 2.1938E-04 1.9933E-04 1.8264E-04 1.6849E-04 1.5639E-04 1.1498E-04 9.0888E-05 7.5125E-05 5.5760E-05 4.4349E-05 2.9307E-05 2.1892E-05 1.4532E-05 1.0878E-05 8.6911E-06 7.2359E-06 5.4204E-06 4.3340E-06 2.8874E-06 2.1644E-06 1.4423E-06 1.0815E-06 8.6508E-07 7.2100E-07 5.4060E-07 4.3254E-07 2.8817E-07 2.1618E-07 1.4411E-07 1.0809E-07 8.6479E-08 7.2071E-08 5.4031E-08 4.3225E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.8730E-04 6.1065E-04 1.1778E-03 1.8552E-03 2.5880E-03 4.0918E-03 5.5789E-03 5.9046E-03 7.0337E-03 9.7225E-03 1.2146E-02 1.7397E-02 2.1794E-02 2.5584E-02 2.8932E-02 3.1929E-02 3.4667E-02 3.7174E-02 3.9508E-02 4.1669E-02 4.3715E-02 4.5617E-02 4.7375E-02 4.9046E-02 5.2043E-02 5.4694E-02 5.7115E-02 5.9334E-02 6.1351E-02 6.3195E-02 6.4895E-02 7.1840E-02 7.6998E-02 8.1004E-02 8.6882E-02 9.1032E-02 9.7574E-02 1.0146E-01 1.0596E-01 1.0855E-01 1.1022E-01 1.1143E-01 1.1305E-01 1.1409E-01 1.1558E-01 1.1639E-01 1.1728E-01 1.1775E-01 1.1806E-01 1.1826E-01 1.1855E-01 1.1873E-01 1.1896E-01 1.1907E-01 1.1921E-01 1.1927E-01 1.1933E-01 1.1936E-01 1.1939E-01 1.1942E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2244E-08 2.7330E-06 9.6190E-06 3.9191E-05 7.7949E-05 1.1950E-04 1.6080E-04 2.0068E-04 2.3878E-04 2.7488E-04 3.0892E-04 3.4119E-04 3.7116E-04 3.9998E-04 4.2706E-04 4.5271E-04 4.9997E-04 5.4320E-04 5.8239E-04 6.1812E-04 6.5126E-04 6.8180E-04 7.1033E-04 8.2704E-04 9.1464E-04 9.8352E-04 1.0861E-03 1.1602E-03 1.2809E-03 1.3558E-03 1.4463E-03 1.4999E-03 1.5362E-03 1.5627E-03 1.5993E-03 1.6232E-03 1.6590E-03 1.6792E-03 1.7008E-03 1.7137E-03 1.7215E-03 1.7270E-03 1.7342E-03 1.7388E-03 1.7449E-03 1.7486E-03 1.7518E-03 1.7541E-03 1.7555E-03 1.7564E-03 1.7572E-03 1.7578E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Se.mat0000644000276300001750000001774013136054446020337 0ustar solebliss00000000000000Se 1 34 1.000000 5 4 3 3 9 86 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.4358E-03 1.4358E-03 1.4559E-03 1.4762E-03 1.4762E-03 1.5000E-03 1.6539E-03 1.6539E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.2658E-02 1.2658E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 5.5592E+00 8.5766E+01 6.4227E+00 5.2900E+00 5.2900E+00 5.2759E+00 5.2617E+00 5.2617E+00 5.2457E+00 5.1382E+00 5.1382E+00 4.8979E+00 4.2336E+00 3.6769E+00 3.2178E+00 2.8303E+00 2.2072E+00 1.7435E+00 1.3095E+00 1.3095E+00 1.0563E+00 7.2134E-01 4.0735E-01 2.5962E-01 1.7938E-01 1.3179E-01 8.0387E-02 5.4379E-02 2.6030E-02 1.5162E-02 9.9066E-03 6.9740E-03 5.1724E-03 3.9873E-03 3.1666E-03 2.5748E-03 2.1342E-03 1.7976E-03 1.5349E-03 1.1564E-03 1.0174E-03 9.0186E-04 7.2276E-04 6.5270E-04 6.2509E-04 4.1856E-04 3.8708E-04 3.3391E-04 2.9096E-04 2.5576E-04 2.0211E-04 1.6382E-04 1.5688E-04 1.3551E-04 9.7034E-05 7.2859E-05 4.0994E-05 2.6244E-05 1.8220E-05 1.3393E-05 1.0250E-05 8.0997E-06 6.5614E-06 5.4227E-06 4.5563E-06 3.8821E-06 3.3474E-06 2.9165E-06 2.5634E-06 2.0249E-06 1.6405E-06 1.3560E-06 1.1394E-06 9.7089E-07 8.3666E-07 7.2905E-07 4.1009E-07 2.6244E-07 1.8228E-07 1.0250E-07 6.5606E-08 2.9157E-08 1.6405E-08 7.2897E-09 4.1002E-09 2.6244E-09 1.8228E-09 1.0250E-09 6.5606E-10 2.9157E-10 1.6405E-10 7.2897E-11 4.1002E-11 2.6244E-11 1.8228E-11 1.0250E-11 6.5606E-12 2.9157E-12 1.6405E-12 7.2897E-13 4.1002E-13 2.6244E-13 1.8228E-13 1.0250E-13 6.5606E-14 INCOHERENT SCATTERING CROSS SECTION 5.3914E-03 1.7119E-02 1.9405E-03 9.6784E-03 9.6784E-03 9.8827E-03 1.0090E-02 1.0090E-02 1.0334E-02 1.1905E-02 1.1905E-02 1.5437E-02 2.5008E-02 3.3413E-02 4.0742E-02 4.7271E-02 5.8643E-02 6.8291E-02 7.9014E-02 7.9014E-02 8.6564E-02 9.8539E-02 1.1189E-01 1.1822E-01 1.2089E-01 1.2165E-01 1.2043E-01 1.1768E-01 1.0967E-01 1.0212E-01 9.5610E-02 9.0073E-02 8.5336E-02 8.1226E-02 7.7614E-02 7.4415E-02 7.1559E-02 6.8985E-02 6.6644E-02 6.2541E-02 6.0732E-02 5.9059E-02 5.6042E-02 5.4669E-02 5.4089E-02 4.8918E-02 4.7945E-02 4.6133E-02 4.4480E-02 4.2964E-02 4.0281E-02 3.7974E-02 3.7509E-02 3.5962E-02 3.2598E-02 2.9890E-02 2.4940E-02 2.1538E-02 1.9037E-02 1.7115E-02 1.5574E-02 1.4316E-02 1.3263E-02 1.2371E-02 1.1600E-02 1.0929E-02 1.0342E-02 9.8157E-03 9.3505E-03 8.5420E-03 7.8785E-03 7.3195E-03 6.8397E-03 6.4225E-03 6.0587E-03 5.7369E-03 4.5585E-03 3.8050E-03 3.2788E-03 2.5855E-03 2.1462E-03 1.5284E-03 1.1982E-03 8.4963E-04 6.6521E-04 5.5066E-04 4.7149E-04 3.6822E-04 3.0294E-04 2.1157E-04 1.6375E-04 1.1387E-04 8.7861E-05 7.1852E-05 6.0931E-05 4.6943E-05 3.8325E-05 2.6488E-05 2.0364E-05 1.4041E-05 1.0784E-05 8.7785E-06 7.4217E-06 5.6911E-06 4.6302E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.3117E+03 5.5978E+05 1.2068E+04 9.7623E+02 4.3435E+03 4.1164E+03 3.9019E+03 5.5889E+03 5.3304E+03 4.3374E+03 4.9101E+03 3.0934E+03 1.1120E+03 5.2145E+02 2.8639E+02 1.7443E+02 7.8861E+01 4.2321E+01 2.1790E+01 1.5749E+02 1.0212E+02 4.7363E+01 1.5444E+01 6.8062E+00 3.5640E+00 2.0875E+00 8.8929E-01 4.5578E-01 1.3454E-01 5.6881E-02 2.9446E-02 1.7374E-02 1.1233E-02 7.7717E-03 5.6644E-03 4.3023E-03 3.3776E-03 2.7212E-03 2.2389E-03 1.6037E-03 1.3927E-03 1.2270E-03 9.7252E-04 8.6717E-04 8.2446E-04 5.5676E-04 5.1870E-04 4.5348E-04 4.0056E-04 3.5747E-04 2.9227E-04 2.4574E-04 2.3727E-04 2.1110E-04 1.6330E-04 1.3225E-04 8.8547E-05 6.6018E-05 5.2412E-05 4.3366E-05 3.6937E-05 3.2139E-05 2.8433E-05 2.5481E-05 2.3079E-05 2.1088E-05 1.9410E-05 1.7976E-05 1.6741E-05 1.4712E-05 1.3126E-05 1.1844E-05 1.0784E-05 9.9072E-06 9.1522E-06 8.5115E-06 6.2937E-06 4.9918E-06 4.1360E-06 3.0797E-06 2.4535E-06 1.6260E-06 1.2157E-06 8.0844E-07 6.0534E-07 4.8385E-07 4.0300E-07 3.0202E-07 2.4154E-07 1.6093E-07 1.2066E-07 8.0387E-08 6.0298E-08 4.8232E-08 4.0193E-08 3.0141E-08 2.4116E-08 1.6077E-08 1.2058E-08 8.0387E-09 6.0275E-09 4.8217E-09 4.0186E-09 3.0134E-09 2.4108E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5030E-05 1.4938E-04 2.9000E-04 4.6722E-04 6.7561E-04 1.1653E-03 1.7160E-03 1.8411E-03 2.2930E-03 3.4795E-03 4.6524E-03 7.3545E-03 9.7318E-03 1.1814E-02 1.3683E-02 1.5353E-02 1.6878E-02 1.8259E-02 1.9525E-02 2.0676E-02 2.1736E-02 2.2720E-02 2.3643E-02 2.4505E-02 2.6076E-02 2.7495E-02 2.8768E-02 2.9935E-02 3.0995E-02 3.1972E-02 3.2872E-02 3.6540E-02 3.9270E-02 4.1398E-02 4.4548E-02 4.6791E-02 5.0352E-02 5.2480E-02 5.4951E-02 5.6377E-02 5.7316E-02 5.7979E-02 5.8871E-02 5.9451E-02 6.0290E-02 6.0740E-02 6.1236E-02 6.1503E-02 6.1670E-02 6.1785E-02 6.1937E-02 6.2029E-02 6.2166E-02 6.2235E-02 6.2311E-02 6.2349E-02 6.2372E-02 6.2387E-02 6.2410E-02 6.2426E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0003E-07 2.9677E-06 1.0456E-05 4.2687E-05 8.5039E-05 1.3049E-04 1.7580E-04 2.1973E-04 2.6183E-04 3.0179E-04 3.3970E-04 3.7539E-04 4.0910E-04 4.4121E-04 4.7164E-04 5.0055E-04 5.5424E-04 6.0305E-04 6.4790E-04 6.8916E-04 7.2722E-04 7.6268E-04 7.9548E-04 9.3276E-04 1.0372E-03 1.1204E-03 1.2455E-03 1.3377E-03 1.4903E-03 1.5856E-03 1.7038E-03 1.7755E-03 1.8236E-03 1.8594E-03 1.9090E-03 1.9418E-03 1.9906E-03 2.0181E-03 2.0478E-03 2.0653E-03 2.0760E-03 2.0836E-03 2.0943E-03 2.1004E-03 2.1088E-03 2.1142E-03 2.1187E-03 2.1218E-03 2.1241E-03 2.1248E-03 2.1264E-03 2.1271E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Lu.mat0000644000276300001750000002174213136054446020345 0ustar solebliss00000000000000Lu 1 71 1.000000 10 5 3 3 3 3 7 3 3 8 80 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 1.5885E-03 1.5885E-03 1.6137E-03 1.6394E-03 1.6394E-03 2.0000E-03 2.0236E-03 2.0236E-03 2.1402E-03 2.2635E-03 2.2635E-03 2.3746E-03 2.4912E-03 2.4912E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 9.2441E-03 9.2441E-03 1.0000E-02 1.0349E-02 1.0349E-02 1.0606E-02 1.0870E-02 1.0870E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 6.3314E-02 6.3314E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.1035E+01 4.7646E+01 1.2161E+01 1.0563E+01 1.0474E+01 1.0474E+01 1.0448E+01 1.0422E+01 1.0422E+01 1.0064E+01 1.0036E+01 1.0036E+01 9.9093E+00 9.7887E+00 9.7887E+00 9.6868E+00 9.5787E+00 9.5787E+00 9.0590E+00 8.0987E+00 7.2176E+00 6.4397E+00 5.1766E+00 4.5570E+00 4.5570E+00 4.2301E+00 4.0889E+00 4.0889E+00 3.9900E+00 3.8928E+00 3.8928E+00 2.7277E+00 1.9281E+00 1.1393E+00 7.4792E-01 5.2867E-01 3.9616E-01 3.6346E-01 3.6346E-01 2.4874E-01 1.7037E-01 8.3190E-02 4.9563E-02 3.2944E-02 2.3477E-02 1.7568E-02 1.3633E-02 1.0882E-02 8.8869E-03 7.3955E-03 6.2504E-03 5.3515E-03 4.0493E-03 3.5692E-03 3.1695E-03 2.5480E-03 2.3040E-03 2.2076E-03 1.4845E-03 1.3737E-03 1.1862E-03 1.0346E-03 9.1036E-04 7.2060E-04 5.8443E-04 5.5965E-04 4.8342E-04 3.4659E-04 2.6058E-04 1.4676E-04 9.3963E-05 6.5292E-05 4.7980E-05 3.6725E-05 2.9025E-05 2.3511E-05 1.9433E-05 1.6328E-05 1.3915E-05 1.1998E-05 1.0450E-05 9.1864E-06 7.2589E-06 5.8787E-06 4.8599E-06 4.0821E-06 3.4797E-06 2.9996E-06 2.6131E-06 1.4697E-06 9.4066E-07 6.5327E-07 3.6759E-07 2.3518E-07 1.0453E-07 5.8787E-08 2.6131E-08 1.4697E-08 9.4066E-09 6.5327E-09 3.6759E-09 2.3518E-09 1.0453E-09 5.8787E-10 2.6131E-10 1.4697E-10 9.4066E-11 6.5327E-11 3.6759E-11 2.3518E-11 1.0453E-11 5.8787E-12 2.6131E-12 1.4697E-12 9.4066E-13 6.5327E-13 3.6759E-13 2.3518E-13 INCOHERENT SCATTERING CROSS SECTION 4.7429E-03 2.9697E-03 2.0513E-03 7.9542E-03 8.5152E-03 8.5152E-03 8.6727E-03 8.8318E-03 8.8318E-03 1.1045E-02 1.1190E-02 1.1190E-02 1.1905E-02 1.2666E-02 1.2666E-02 1.3354E-02 1.4074E-02 1.4074E-02 1.7137E-02 2.2909E-02 2.8289E-02 3.3228E-02 4.1819E-02 4.6465E-02 4.6465E-02 4.9081E-02 5.0251E-02 5.0251E-02 5.1093E-02 5.1938E-02 5.1938E-02 6.3503E-02 7.4310E-02 8.8422E-02 9.6131E-02 1.0036E-01 1.0267E-01 1.0312E-01 1.0312E-01 1.0412E-01 1.0343E-01 9.8541E-02 9.2827E-02 8.7576E-02 8.2949E-02 7.8890E-02 7.5308E-02 7.2124E-02 6.9285E-02 6.6739E-02 6.4432E-02 6.2321E-02 5.8573E-02 5.6894E-02 5.5327E-02 5.2525E-02 5.1284E-02 5.0768E-02 4.5949E-02 4.5036E-02 4.3349E-02 4.1819E-02 4.0417E-02 3.7916E-02 3.5727E-02 3.5279E-02 3.3806E-02 3.0659E-02 2.8141E-02 2.3487E-02 2.0286E-02 1.7936E-02 1.6122E-02 1.4673E-02 1.3489E-02 1.2497E-02 1.1658E-02 1.0931E-02 1.0298E-02 9.7439E-03 9.2517E-03 8.8112E-03 8.0505E-03 7.4241E-03 6.8975E-03 6.4432E-03 6.0508E-03 5.7101E-03 5.4072E-03 4.2955E-03 3.5864E-03 3.0898E-03 2.4368E-03 2.0224E-03 1.4404E-03 1.1293E-03 8.0058E-04 6.2676E-04 5.1903E-04 4.4435E-04 3.4694E-04 2.8547E-04 1.9939E-04 1.5430E-04 1.0728E-04 8.2811E-05 6.7702E-05 5.7410E-05 4.4228E-05 3.6105E-05 2.4960E-05 1.9192E-05 1.3234E-05 1.0160E-05 8.2743E-06 6.9939E-06 5.3624E-06 4.3643E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 3.1758E+03 3.1497E+05 1.2671E+04 1.4136E+03 1.2539E+03 1.5592E+03 2.3018E+03 3.3954E+03 3.8928E+03 3.4419E+03 3.3421E+03 3.8790E+03 3.3881E+03 2.9597E+03 3.1455E+03 2.8158E+03 2.5215E+03 2.6310E+03 1.7010E+03 8.4773E+02 4.8634E+02 3.0640E+02 1.4614E+02 1.0026E+02 2.6571E+02 2.1680E+02 1.9777E+02 2.7163E+02 2.5584E+02 2.4100E+02 2.7862E+02 1.2188E+02 5.6825E+01 1.9006E+01 8.6288E+00 4.6500E+00 2.7976E+00 2.4072E+00 1.2587E+01 6.8080E+00 3.7585E+00 1.2518E+00 5.7066E-01 3.1172E-01 1.9164E-01 1.2803E-01 9.0934E-02 6.7686E-02 5.2282E-02 4.1609E-02 3.3930E-02 2.8229E-02 2.0506E-02 1.7825E-02 1.5664E-02 1.2424E-02 1.1190E-02 1.0708E-02 7.2210E-03 6.7050E-03 5.8407E-03 5.1490E-03 4.5858E-03 3.7311E-03 3.1201E-03 3.0089E-03 2.6658E-03 2.0416E-03 1.6387E-03 1.0770E-03 7.9163E-04 6.2195E-04 5.1043E-04 4.3161E-04 3.7344E-04 3.2894E-04 2.9366E-04 2.6509E-04 2.4152E-04 2.2176E-04 2.0493E-04 1.9044E-04 1.6683E-04 1.4834E-04 1.3354E-04 1.2143E-04 1.1128E-04 1.0271E-04 9.5374E-05 7.0214E-05 5.5517E-05 4.5915E-05 3.4112E-05 2.7132E-05 1.7949E-05 1.3410E-05 8.9041E-06 6.6635E-06 5.3246E-06 4.4331E-06 3.3228E-06 2.6564E-06 1.7698E-06 1.3268E-06 8.8422E-07 6.6290E-07 5.3039E-07 4.4194E-07 3.3138E-07 2.6509E-07 1.7671E-07 1.3251E-07 8.8353E-08 6.6256E-08 5.3005E-08 4.4159E-08 3.3128E-08 2.6502E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.0295E-04 4.7261E-04 8.9930E-04 1.4105E-03 1.9739E-03 3.1773E-03 4.4194E-03 4.6947E-03 5.6607E-03 8.0280E-03 1.0226E-02 1.5096E-02 1.9202E-02 2.2727E-02 2.5838E-02 2.8636E-02 3.1180E-02 3.3513E-02 3.5658E-02 3.7688E-02 3.9547E-02 4.1302E-02 4.2920E-02 4.4435E-02 4.7188E-02 4.9597E-02 5.1800E-02 5.3831E-02 5.5655E-02 5.7342E-02 5.8890E-02 6.5223E-02 6.9939E-02 7.3587E-02 7.8991E-02 8.2777E-02 8.8766E-02 9.2311E-02 9.6441E-02 9.8816E-02 1.0036E-01 1.0147E-01 1.0295E-01 1.0388E-01 1.0525E-01 1.0601E-01 1.0684E-01 1.0725E-01 1.0752E-01 1.0773E-01 1.0797E-01 1.0811E-01 1.0835E-01 1.0845E-01 1.0859E-01 1.0863E-01 1.0869E-01 1.0869E-01 1.0876E-01 1.0876E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4275E-08 2.7941E-06 9.8369E-06 4.0098E-05 7.9783E-05 1.2232E-04 1.6462E-04 2.0555E-04 2.4465E-04 2.8172E-04 3.1676E-04 3.4969E-04 3.8067E-04 4.1027E-04 4.3815E-04 4.6465E-04 5.1353E-04 5.5793E-04 5.9854E-04 6.3571E-04 6.7013E-04 7.0180E-04 7.3105E-04 8.5255E-04 9.4376E-04 1.0157E-03 1.1231E-03 1.2005E-03 1.3279E-03 1.4067E-03 1.5024E-03 1.5592E-03 1.5981E-03 1.6266E-03 1.6655E-03 1.6913E-03 1.7299E-03 1.7519E-03 1.7757E-03 1.7898E-03 1.7980E-03 1.8042E-03 1.8121E-03 1.8173E-03 1.8242E-03 1.8283E-03 1.8321E-03 1.8345E-03 1.8359E-03 1.8369E-03 1.8380E-03 1.8386E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ra.mat0000644000276300001750000002265213136054446020330 0ustar solebliss00000000000000Ra 1 88 1.000000 12 4 3 5 3 3 3 3 7 3 3 9 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0576E-03 1.0576E-03 1.1305E-03 1.2084E-03 1.2084E-03 1.5000E-03 2.0000E-03 3.0000E-03 3.1049E-03 3.1049E-03 3.1758E-03 3.2484E-03 3.2484E-03 3.5096E-03 3.7918E-03 3.7918E-03 4.0000E-03 4.4895E-03 4.4895E-03 4.6528E-03 4.8220E-03 4.8220E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.5444E-02 1.5444E-02 1.6896E-02 1.8484E-02 1.8484E-02 1.8857E-02 1.9237E-02 1.9237E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.0392E-01 1.0392E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.3029E+01 1.4294E+04 1.6688E+01 1.2962E+01 1.2962E+01 1.2875E+01 1.2781E+01 1.2781E+01 1.2429E+01 1.1811E+01 1.0599E+01 1.0474E+01 1.0474E+01 1.0392E+01 1.0311E+01 1.0311E+01 1.0018E+01 9.7089E+00 9.7089E+00 9.4905E+00 9.0002E+00 9.0002E+00 8.8440E+00 8.6858E+00 8.6858E+00 8.5233E+00 7.6867E+00 6.3252E+00 5.2808E+00 3.5596E+00 3.4477E+00 3.4477E+00 3.1118E+00 2.7976E+00 2.7976E+00 2.7317E+00 2.6670E+00 2.6670E+00 2.5437E+00 1.4968E+00 1.0055E+00 7.2124E-01 5.4113E-01 3.3997E-01 2.3556E-01 2.2082E-01 2.2082E-01 1.1710E-01 7.0019E-02 4.6785E-02 3.3544E-02 2.5239E-02 1.9679E-02 1.5772E-02 1.2922E-02 1.0780E-02 9.1281E-03 7.8270E-03 5.9404E-03 5.2461E-03 4.6687E-03 3.7638E-03 3.4024E-03 3.2585E-03 2.1989E-03 2.0367E-03 1.7608E-03 1.5368E-03 1.3528E-03 1.0718E-03 8.7071E-04 8.3421E-04 7.2157E-04 5.1800E-04 3.8953E-04 2.1957E-04 1.4068E-04 9.7755E-05 7.1858E-05 5.5019E-05 4.3482E-05 3.5223E-05 2.9121E-05 2.4470E-05 2.0851E-05 1.7979E-05 1.5664E-05 1.3767E-05 1.0879E-05 8.8110E-06 7.2817E-06 6.1200E-06 5.2142E-06 4.4948E-06 3.9166E-06 2.2032E-06 1.4100E-06 9.7915E-07 5.5072E-07 3.5250E-07 1.5666E-07 8.8110E-08 3.9166E-08 2.2032E-08 1.4100E-08 9.7915E-09 5.5072E-09 3.5250E-09 1.5666E-09 8.8110E-10 3.9166E-10 2.2032E-10 1.4100E-10 9.7915E-11 5.5072E-11 3.5250E-11 1.5666E-11 8.8110E-12 3.9166E-12 2.2032E-12 1.4100E-12 9.7915E-13 5.5072E-13 3.5250E-13 INCOHERENT SCATTERING CROSS SECTION 4.7879E-03 8.5947E+02 3.0268E-03 5.1342E-03 5.1342E-03 5.5710E-03 6.0321E-03 6.0321E-03 7.7133E-03 1.0628E-02 1.6317E-02 1.6889E-02 1.6889E-02 1.7285E-02 1.7691E-02 1.7691E-02 1.9105E-02 2.0569E-02 2.0569E-02 2.1624E-02 2.4003E-02 2.4003E-02 2.4768E-02 2.5546E-02 2.5546E-02 2.6348E-02 3.0560E-02 3.8100E-02 4.4815E-02 5.8030E-02 5.8989E-02 5.8989E-02 6.1884E-02 6.4744E-02 6.4744E-02 6.5382E-02 6.6023E-02 6.6023E-02 6.7275E-02 7.9664E-02 8.7284E-02 9.1894E-02 9.4532E-02 9.6530E-02 9.6397E-02 9.6237E-02 9.6237E-02 9.2667E-02 8.7764E-02 8.3033E-02 7.8785E-02 7.5042E-02 7.1725E-02 6.8762E-02 6.6103E-02 6.3703E-02 6.1520E-02 5.9519E-02 5.5979E-02 5.4406E-02 5.2945E-02 5.0305E-02 4.9104E-02 4.8598E-02 4.4015E-02 4.3148E-02 4.1537E-02 4.0072E-02 3.8732E-02 3.6349E-02 3.4264E-02 3.3837E-02 3.2430E-02 2.9412E-02 2.6990E-02 2.2525E-02 1.9461E-02 1.7204E-02 1.5464E-02 1.4076E-02 1.2941E-02 1.1990E-02 1.1182E-02 1.0490E-02 9.8821E-03 9.3492E-03 8.8750E-03 8.4514E-03 7.7240E-03 7.1245E-03 6.6183E-03 6.1840E-03 5.8056E-03 5.4779E-03 5.1875E-03 4.1218E-03 3.4397E-03 2.9654E-03 2.3380E-03 1.9405E-03 1.3820E-03 1.0836E-03 7.6787E-04 6.0135E-04 4.9797E-04 4.2630E-04 3.3305E-04 2.7390E-04 1.9130E-04 1.4806E-04 1.0295E-04 7.9451E-05 6.4957E-05 5.5099E-05 4.2443E-05 3.4663E-05 2.3950E-05 1.8413E-05 1.2698E-05 9.7489E-06 7.9398E-06 6.7115E-06 5.1449E-06 4.1857E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.1893E+03 4.0647E+05 2.1811E+04 5.5898E+03 5.6698E+03 5.0024E+03 4.4122E+03 4.5054E+03 2.9388E+03 1.6087E+03 6.5570E+02 6.0641E+02 1.7039E+03 1.5242E+03 1.3636E+03 2.0281E+03 1.6438E+03 1.3324E+03 1.5483E+03 1.3572E+03 1.0149E+03 1.0772E+03 9.8691E+02 9.0428E+02 9.4345E+02 8.6565E+02 5.5365E+02 2.7043E+02 1.5357E+02 5.3980E+01 5.0037E+01 1.2179E+02 9.5441E+01 7.4789E+01 1.0527E+02 1.0014E+02 9.5251E+01 1.1004E+02 9.9674E+01 3.5063E+01 1.6404E+01 9.0375E+00 5.5312E+00 2.5346E+00 1.3799E+00 1.2429E+00 5.5099E+00 2.1456E+00 1.0138E+00 5.6888E-01 3.5729E-01 2.4276E-01 1.7484E-01 1.3168E-01 1.0271E-01 8.2389E-02 6.7621E-02 5.6570E-02 4.1439E-02 3.6129E-02 3.1820E-02 2.5324E-02 2.2842E-02 2.1872E-02 1.4774E-02 1.3713E-02 1.1933E-02 1.0508E-02 9.3498E-03 7.5968E-03 6.3492E-03 6.1227E-03 5.4217E-03 4.1397E-03 3.3118E-03 2.1645E-03 1.5840E-03 1.2397E-03 1.0143E-03 8.5606E-04 7.3936E-04 6.5010E-04 5.7950E-04 5.2248E-04 4.7559E-04 4.3616E-04 4.0285E-04 3.7408E-04 3.2718E-04 2.9068E-04 2.6145E-04 2.3753E-04 2.1760E-04 2.0073E-04 1.8627E-04 1.3689E-04 1.0815E-04 8.9389E-05 6.6343E-05 5.2728E-05 3.4850E-05 2.6031E-05 1.7278E-05 1.2930E-05 1.0332E-05 8.6032E-06 6.4451E-06 5.1529E-06 3.4317E-06 2.5727E-06 1.7145E-06 1.2856E-06 1.0282E-06 8.5686E-07 6.4264E-07 5.1396E-07 3.4264E-07 2.5698E-07 1.7132E-07 1.2848E-07 1.0279E-07 8.5659E-08 6.4238E-08 5.1396E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1857E-04 6.6357E-04 1.2891E-03 2.0364E-03 2.8383E-03 4.4560E-03 6.0295E-03 6.3732E-03 7.5570E-03 1.0326E-02 1.2784E-02 1.8091E-02 2.2525E-02 2.6340E-02 2.9708E-02 3.2745E-02 3.5516E-02 3.8074E-02 4.0445E-02 4.2630E-02 4.4708E-02 4.6626E-02 4.8438E-02 5.0117E-02 5.3154E-02 5.5872E-02 5.8350E-02 6.0614E-02 6.2666E-02 6.4557E-02 6.6289E-02 7.3403E-02 7.8679E-02 8.2755E-02 8.8777E-02 9.3013E-02 9.9700E-02 1.0367E-01 1.0828E-01 1.1094E-01 1.1268E-01 1.1393E-01 1.1558E-01 1.1665E-01 1.1819E-01 1.1904E-01 1.1995E-01 1.2043E-01 1.2075E-01 1.2096E-01 1.2126E-01 1.2141E-01 1.2168E-01 1.2181E-01 1.2195E-01 1.2203E-01 1.2205E-01 1.2208E-01 1.2213E-01 1.2216E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0331E-08 2.6774E-06 9.4265E-06 3.8420E-05 7.6387E-05 1.1705E-04 1.5749E-04 1.9652E-04 2.3380E-04 2.6910E-04 3.0240E-04 3.3384E-04 3.6342E-04 3.9139E-04 4.1777E-04 4.4282E-04 4.8918E-04 5.3127E-04 5.6937E-04 6.0454E-04 6.3678E-04 6.6662E-04 6.9433E-04 8.0783E-04 8.9336E-04 9.6024E-04 1.0604E-03 1.1326E-03 1.2507E-03 1.3237E-03 1.4124E-03 1.4654E-03 1.5014E-03 1.5277E-03 1.5640E-03 1.5882E-03 1.6242E-03 1.6444E-03 1.6668E-03 1.6801E-03 1.6881E-03 1.6937E-03 1.7015E-03 1.7063E-03 1.7127E-03 1.7166E-03 1.7201E-03 1.7225E-03 1.7238E-03 1.7249E-03 1.7257E-03 1.7265E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/F.mat0000644000276300001750000001642013136054446020147 0ustar solebliss00000000000000Fluorine 1 9 1.000000 1 96 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.6201E+00 1.9053E+01 1.8748E+00 1.5218E+00 1.4033E+00 1.1491E+00 9.1988E-01 7.3698E-01 5.9783E-01 4.1429E-01 3.0579E-01 1.7339E-01 1.1446E-01 6.0892E-02 3.7435E-02 2.5251E-02 1.8166E-02 1.0682E-02 7.0116E-03 3.2110E-03 1.8271E-03 1.1760E-03 1.1760E-03 8.1940E-04 4.6248E-04 3.6567E-04 2.9635E-04 2.4503E-04 2.0597E-04 1.7555E-04 1.3190E-04 1.1595E-04 1.0274E-04 8.2266E-05 7.4237E-05 7.1067E-05 4.7515E-05 4.3933E-05 3.7881E-05 3.2998E-05 2.9001E-05 2.2917E-05 1.8569E-05 1.7779E-05 1.5351E-05 1.0991E-05 8.2542E-06 4.6438E-06 2.9714E-06 2.0635E-06 1.5161E-06 1.1608E-06 9.1703E-07 7.4300E-07 6.1399E-07 5.1573E-07 4.3965E-07 3.7911E-07 3.3029E-07 2.9020E-07 2.2927E-07 1.8572E-07 1.5348E-07 1.2898E-07 1.0990E-07 9.4746E-08 8.2542E-08 4.6438E-08 2.9714E-08 2.0635E-08 1.1608E-08 7.4269E-09 3.2998E-09 1.8569E-09 8.2542E-10 4.6406E-10 2.9711E-10 2.0632E-10 1.1605E-10 7.4269E-11 3.2998E-11 1.8569E-11 8.2542E-12 4.6406E-12 2.9711E-12 2.0632E-12 1.1605E-12 7.4269E-13 3.2998E-13 1.8569E-13 8.2542E-14 4.6406E-14 2.9711E-14 2.0632E-14 1.1605E-14 7.4269E-15 INCOHERENT SCATTERING CROSS SECTION 6.4315E-03 7.4056E-04 1.8728E-03 1.3535E-02 2.2147E-02 4.0986E-02 5.8990E-02 7.4617E-02 8.7550E-02 1.0628E-01 1.1839E-01 1.3494E-01 1.4340E-01 1.5088E-01 1.5240E-01 1.5136E-01 1.4917E-01 1.4369E-01 1.3801E-01 1.2537E-01 1.1529E-01 1.0719E-01 1.0719E-01 1.0055E-01 9.0213E-02 8.6066E-02 8.2415E-02 7.9172E-02 7.6266E-02 7.3642E-02 6.9063E-02 6.7042E-02 6.5167E-02 6.1802E-02 6.0290E-02 5.9656E-02 5.3918E-02 5.2839E-02 5.0835E-02 4.9005E-02 4.7323E-02 4.4345E-02 4.1810E-02 4.1303E-02 3.9610E-02 3.5899E-02 3.2903E-02 2.7444E-02 2.3701E-02 2.0949E-02 1.8829E-02 1.7136E-02 1.5751E-02 1.4594E-02 1.3611E-02 1.2765E-02 1.2026E-02 1.1376E-02 1.0803E-02 1.0286E-02 9.4017E-03 8.6694E-03 8.0513E-03 7.5251E-03 7.0655E-03 6.6661E-03 6.3111E-03 5.0146E-03 4.1873E-03 3.6072E-03 2.8449E-03 2.3612E-03 1.6816E-03 1.3183E-03 9.3446E-04 7.3191E-04 6.0575E-04 5.1858E-04 4.0510E-04 3.3315E-04 2.3276E-04 1.8014E-04 1.2524E-04 9.6679E-05 7.9055E-05 6.7042E-05 5.1636E-05 4.2158E-05 2.9140E-05 2.2404E-05 1.5450E-05 1.1861E-05 9.6584E-06 8.1654E-06 6.2604E-06 5.0939E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 5.6486E+03 2.7972E+07 3.5632E+04 1.9770E+03 9.0340E+02 2.8760E+02 1.2461E+02 6.4315E+01 3.7214E+01 1.5494E+01 7.7819E+00 2.1840E+00 8.7487E-01 2.3698E-01 9.2971E-02 4.4821E-02 2.4626E-02 9.5633E-03 4.5931E-03 1.2216E-03 4.8403E-04 2.3991E-04 2.3991E-04 1.3725E-04 5.8895E-05 4.2276E-05 3.1762E-05 2.4760E-05 1.9795E-05 1.6122E-05 1.1432E-05 9.9944E-06 8.9297E-06 7.1307E-06 6.2128E-06 5.8134E-06 3.9432E-06 3.6962E-06 3.2411E-06 2.8617E-06 2.5602E-06 2.1154E-06 1.7970E-06 1.7380E-06 1.5555E-06 1.2210E-06 1.0017E-06 6.8658E-07 5.2017E-07 4.1810E-07 3.4900E-07 2.9936E-07 2.6202E-07 2.3292E-07 2.0959E-07 1.9047E-07 1.7456E-07 1.6109E-07 1.4952E-07 1.3954E-07 1.2305E-07 1.1002E-07 9.9500E-08 9.0815E-08 8.3525E-08 7.7312E-08 7.1955E-08 5.3443E-08 4.2507E-08 3.5280E-08 2.6332E-08 2.1003E-08 1.3947E-08 1.0441E-08 6.9451E-09 5.2048E-09 4.1620E-09 3.4678E-09 2.5983E-09 2.0781E-09 1.3849E-09 1.0384E-09 6.9229E-10 5.1890E-10 4.1525E-10 3.4614E-10 2.5948E-10 2.0759E-10 1.3839E-10 1.0378E-10 6.9197E-11 5.1890E-11 4.1525E-11 3.4583E-11 2.5945E-11 2.0756E-11 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 2.0623E-05 3.3437E-05 6.8276E-05 1.1414E-04 1.6939E-04 3.0175E-04 4.5455E-04 4.9005E-04 6.1902E-04 9.5971E-04 1.2999E-03 2.1082E-03 2.8287E-03 3.4741E-03 4.0510E-03 4.5677E-03 5.0368E-03 5.4648E-03 5.8546E-03 6.2097E-03 6.5393E-03 6.8468E-03 7.1352E-03 7.4047E-03 7.9023E-03 8.3461E-03 8.7487E-03 9.1132E-03 9.4492E-03 9.7599E-03 1.0048E-02 1.1221E-02 1.2115E-02 1.2822E-02 1.3884E-02 1.4664E-02 1.5941E-02 1.6724E-02 1.7650E-02 1.8188E-02 1.8543E-02 1.8800E-02 1.9146E-02 1.9368E-02 1.9691E-02 1.9868E-02 2.0062E-02 2.0163E-02 2.0230E-02 2.0274E-02 2.0334E-02 2.0372E-02 2.0423E-02 2.0452E-02 2.0480E-02 2.0496E-02 2.0506E-02 2.0512E-02 2.0521E-02 2.0528E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.1001E-07 3.2653E-06 1.1510E-05 4.7008E-05 9.3636E-05 1.4385E-04 1.9393E-04 2.4259E-04 2.8921E-04 3.3378E-04 3.7594E-04 4.1556E-04 4.5328E-04 4.8942E-04 5.2365E-04 5.5599E-04 6.1653E-04 6.7200E-04 7.2303E-04 7.7026E-04 8.1401E-04 8.5490E-04 8.9294E-04 1.0536E-03 1.1782E-03 1.2793E-03 1.4359E-03 1.5535E-03 1.7548E-03 1.8857E-03 2.0499E-03 2.1501E-03 2.2192E-03 2.2702E-03 2.3406E-03 2.3875E-03 2.4576E-03 2.4972E-03 2.5400E-03 2.5656E-03 2.5809E-03 2.5920E-03 2.6062E-03 2.6154E-03 2.6278E-03 2.6351E-03 2.6417E-03 2.6465E-03 2.6490E-03 2.6506E-03 2.6525E-03 2.6538E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Si.mat0000644000276300001750000001666213136054446020345 0ustar solebliss00000000000000Silicon 1 14 1.000000 2 5 93 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 1.8389E-03 1.8389E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 2.5280E+00 6.0917E+01 3.1519E+00 2.2857E+00 2.1213E+00 2.1213E+00 2.0484E+00 1.6688E+00 1.4040E+00 1.2083E+00 1.0511E+00 8.0387E-01 6.2225E-01 3.5851E-01 2.3415E-01 1.2548E-01 7.8864E-02 5.3991E-02 3.9175E-02 2.3243E-02 1.5368E-02 7.1252E-03 4.0847E-03 2.6401E-03 2.6401E-03 1.8438E-03 1.0434E-03 8.2576E-04 6.6964E-04 5.5388E-04 4.6572E-04 3.9708E-04 2.9854E-04 2.6245E-04 2.3251E-04 1.8616E-04 1.6804E-04 1.6090E-04 1.0760E-04 9.9489E-05 8.5802E-05 7.4747E-05 6.5685E-05 5.1881E-05 4.2048E-05 4.0268E-05 3.4784E-05 2.4903E-05 1.8693E-05 1.0515E-05 6.7307E-06 4.6744E-06 3.4350E-06 2.6288E-06 2.0773E-06 1.6828E-06 1.3907E-06 1.1686E-06 9.9577E-07 8.5854E-07 7.4790E-07 6.5720E-07 5.1933E-07 4.2070E-07 3.4758E-07 2.9204E-07 2.4894E-07 2.1464E-07 1.8695E-07 1.0517E-07 6.7307E-08 4.6744E-08 2.6288E-08 1.6826E-08 7.4769E-09 4.2070E-09 1.8693E-09 1.0515E-09 6.7307E-10 4.6744E-10 2.6288E-10 1.6826E-10 7.4769E-11 4.2070E-11 1.8693E-11 1.0515E-11 6.7307E-12 4.6744E-12 2.6288E-12 1.6826E-12 7.4769E-13 4.2070E-13 1.8693E-13 1.0515E-13 6.7307E-14 4.6744E-14 2.6288E-14 1.6826E-14 INCOHERENT SCATTERING CROSS SECTION 1.3168E-02 6.6683E-02 5.2041E-03 2.3929E-02 3.0812E-02 3.0812E-02 3.3879E-02 4.9617E-02 6.1346E-02 7.1102E-02 7.9829E-02 9.5075E-02 1.0764E-01 1.2887E-01 1.4019E-01 1.5014E-01 1.5342E-01 1.5378E-01 1.5263E-01 1.4834E-01 1.4319E-01 1.3090E-01 1.2072E-01 1.1242E-01 1.1242E-01 1.0554E-01 9.4753E-02 9.0431E-02 8.6626E-02 8.3237E-02 8.0194E-02 7.7441E-02 7.2629E-02 7.0502E-02 6.8529E-02 6.4992E-02 6.3404E-02 6.2740E-02 5.6715E-02 5.5578E-02 5.3469E-02 5.1547E-02 4.9784E-02 4.6666E-02 4.3999E-02 4.3463E-02 4.1674E-02 3.7759E-02 3.4608E-02 2.8883E-02 2.4937E-02 2.2043E-02 1.9813E-02 1.8031E-02 1.6575E-02 1.5357E-02 1.4323E-02 1.3434E-02 1.2655E-02 1.1971E-02 1.1366E-02 1.0824E-02 9.8934E-03 9.1236E-03 8.4739E-03 7.9186E-03 7.4361E-03 7.0137E-03 6.6406E-03 5.2769E-03 4.4064E-03 3.7953E-03 2.9933E-03 2.4851E-03 1.7694E-03 1.3873E-03 9.8334E-04 7.6999E-04 6.3748E-04 5.4570E-04 4.2627E-04 3.5079E-04 2.4487E-04 1.8955E-04 1.3180E-04 1.0174E-04 8.3174E-05 7.0545E-05 5.4334E-05 4.4364E-05 3.0662E-05 2.3565E-05 1.6257E-05 1.2481E-05 1.0164E-05 8.5919E-06 6.5870E-06 5.3605E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 1.5674E+03 7.1496E+05 9.9005E+03 5.3327E+02 3.0705E+02 3.1906E+03 2.7746E+03 9.7669E+02 4.5136E+02 2.4380E+02 1.4585E+02 6.3790E+01 3.3150E+01 9.8484E+00 4.0890E+00 1.1607E+00 4.6873E-01 2.3072E-01 1.2885E-01 5.1204E-02 2.4980E-02 6.8057E-03 2.7360E-03 1.3691E-03 1.3691E-03 7.8821E-04 3.4093E-04 2.4556E-04 1.8492E-04 1.4433E-04 1.1564E-04 9.4530E-05 6.7235E-05 5.8537E-05 5.1903E-05 4.1271E-05 3.6387E-05 3.4329E-05 2.3265E-05 2.1746E-05 1.9052E-05 1.6839E-05 1.5061E-05 1.2405E-05 1.0505E-05 1.0155E-05 9.0739E-06 7.0946E-06 5.8001E-06 3.9518E-06 2.9826E-06 2.3887E-06 1.9905E-06 1.7047E-06 1.4898E-06 1.3228E-06 1.1892E-06 1.0800E-06 9.8891E-07 9.1215E-07 8.4632E-07 7.8929E-07 6.9537E-07 6.2161E-07 5.6178E-07 5.1247E-07 4.7108E-07 4.3592E-07 4.0569E-07 3.0105E-07 2.3929E-07 1.9851E-07 1.4808E-07 1.1808E-07 7.8371E-08 5.8644E-08 3.9025E-08 2.9226E-08 2.3372E-08 1.9465E-08 1.4591E-08 1.1669E-08 7.7749E-09 5.8301E-09 3.8853E-09 2.9140E-09 2.3308E-09 1.9427E-09 1.4570E-09 1.1656E-09 7.7706E-10 5.8280E-10 3.8853E-10 2.9140E-10 2.3308E-10 1.9422E-10 1.4568E-10 1.1654E-10 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 3.5208E-05 5.6796E-05 1.1504E-04 1.9120E-04 2.8260E-04 5.0115E-04 7.5326E-04 8.1180E-04 1.0242E-03 1.5833E-03 2.1395E-03 3.4565E-03 4.6294E-03 5.6779E-03 6.6106E-03 7.4511E-03 8.2123E-03 8.9049E-03 9.5310E-03 1.0108E-02 1.0642E-02 1.1137E-02 1.1602E-02 1.2038E-02 1.2835E-02 1.3547E-02 1.4193E-02 1.4780E-02 1.5318E-02 1.5814E-02 1.6272E-02 1.8166E-02 1.9583E-02 2.0696E-02 2.2364E-02 2.3543E-02 2.5473E-02 2.6631E-02 2.8025E-02 2.8840E-02 2.9376E-02 2.9762E-02 3.0298E-02 3.0641E-02 3.1134E-02 3.1391E-02 3.1692E-02 3.1863E-02 3.1949E-02 3.2035E-02 3.2120E-02 3.2185E-02 3.2249E-02 3.2292E-02 3.2356E-02 3.2378E-02 3.2378E-02 3.2399E-02 3.2399E-02 3.2421E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.1590E-07 3.4380E-06 1.2113E-05 4.9446E-05 9.8527E-05 1.5134E-04 2.0404E-04 2.5516E-04 3.0426E-04 3.5101E-04 3.9518E-04 4.3699E-04 4.7666E-04 5.1440E-04 5.5021E-04 5.8430E-04 6.4755E-04 7.0545E-04 7.5884E-04 8.0794E-04 8.5361E-04 8.9607E-04 9.3574E-04 1.1021E-03 1.2306E-03 1.3341E-03 1.4926E-03 1.6105E-03 1.8104E-03 1.9394E-03 2.1024E-03 2.2021E-03 2.2729E-03 2.3265E-03 2.3994E-03 2.4487E-03 2.5237E-03 2.5666E-03 2.6138E-03 2.6417E-03 2.6588E-03 2.6717E-03 2.6867E-03 2.6974E-03 2.7124E-03 2.7189E-03 2.7274E-03 2.7339E-03 2.7360E-03 2.7382E-03 2.7403E-03 2.7425E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Nb.mat0000644000276300001750000002005013136054446020313 0ustar solebliss00000000000000Nb 1 41 1.000000 5 6 3 3 9 85 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.3705E-03 2.3705E-03 2.4171E-03 2.4647E-03 2.4647E-03 2.5786E-03 2.6977E-03 2.6977E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.8986E-02 1.8986E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 6.8125E+00 3.8080E+01 7.7689E+00 6.4029E+00 5.9731E+00 5.6568E+00 5.6568E+00 5.6223E+00 5.5868E+00 5.5868E+00 5.4958E+00 5.3975E+00 5.3975E+00 5.1609E+00 4.4641E+00 3.8905E+00 3.4244E+00 2.7276E+00 2.2259E+00 1.4111E+00 1.0326E+00 1.0326E+00 9.6192E-01 5.4358E-01 3.5346E-01 2.4677E-01 1.8162E-01 1.1071E-01 7.4996E-02 3.6228E-02 2.1222E-02 1.3906E-02 9.8072E-03 7.2849E-03 5.6231E-03 4.4705E-03 3.6383E-03 3.0179E-03 2.5435E-03 2.1729E-03 1.6383E-03 1.4416E-03 1.2779E-03 1.0245E-03 9.2562E-04 8.8673E-04 5.9407E-04 5.4937E-04 4.7395E-04 4.1309E-04 3.6326E-04 2.8722E-04 2.3270E-04 2.2278E-04 1.9232E-04 1.3775E-04 1.0352E-04 5.8253E-05 3.7291E-05 2.5895E-05 1.9024E-05 1.4571E-05 1.1512E-05 9.3210E-06 7.7070E-06 6.4755E-06 5.5174E-06 4.7577E-06 4.1446E-06 3.6422E-06 2.8780E-06 2.3316E-06 1.9264E-06 1.6192E-06 1.3794E-06 1.1894E-06 1.0358E-06 5.8279E-07 3.7297E-07 2.5902E-07 1.4571E-07 9.3275E-08 4.1439E-08 2.3309E-08 1.0358E-08 5.8279E-09 3.7297E-09 2.5902E-09 1.4571E-09 9.3210E-10 4.1439E-10 2.3309E-10 1.0358E-10 5.8279E-11 3.7297E-11 2.5902E-11 1.4571E-11 9.3210E-12 4.1439E-12 2.3309E-12 1.0358E-12 5.8279E-13 3.7297E-13 2.5902E-13 1.4571E-13 9.3210E-14 INCOHERENT SCATTERING CROSS SECTION 6.8384E-03 9.4090E-03 2.8756E-03 1.1778E-02 1.6503E-02 1.9893E-02 1.9893E-02 2.0305E-02 2.0723E-02 2.0723E-02 2.1728E-02 2.2778E-02 2.2778E-02 2.5390E-02 3.3518E-02 4.0959E-02 4.7727E-02 5.9167E-02 6.8255E-02 8.4913E-02 9.4442E-02 9.4442E-02 9.6451E-02 1.1013E-01 1.1706E-01 1.2043E-01 1.2173E-01 1.2121E-01 1.1888E-01 1.1123E-01 1.0384E-01 9.7432E-02 9.1914E-02 8.7130E-02 8.2969E-02 7.9326E-02 7.6098E-02 7.3204E-02 7.0588E-02 6.8208E-02 6.4029E-02 6.2181E-02 6.0469E-02 5.7385E-02 5.5985E-02 5.5395E-02 5.0105E-02 4.9109E-02 4.7256E-02 4.5568E-02 4.4022E-02 4.1280E-02 3.8911E-02 3.8431E-02 3.6841E-02 3.3397E-02 3.0627E-02 2.5552E-02 2.2071E-02 1.9511E-02 1.7534E-02 1.5959E-02 1.4669E-02 1.3593E-02 1.2679E-02 1.1894E-02 1.1201E-02 1.0598E-02 1.0060E-02 9.5803E-03 8.7571E-03 8.0765E-03 7.4996E-03 7.0070E-03 6.5792E-03 6.2091E-03 5.8791E-03 4.6722E-03 3.9002E-03 3.3602E-03 2.6498E-03 2.1993E-03 1.5667E-03 1.2283E-03 8.7052E-04 6.8190E-04 5.6432E-04 4.8316E-04 3.7738E-04 3.1048E-04 2.1682E-04 1.6782E-04 1.1667E-04 9.0099E-05 7.3635E-05 6.2447E-05 4.8109E-05 3.9281E-05 2.7146E-05 2.0872E-05 1.4390E-05 1.1052E-05 8.9969E-06 7.6033E-06 5.8325E-06 4.7448E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 4.5925E+03 9.9990E+05 2.3218E+04 1.7799E+03 8.8349E+02 5.7877E+02 2.1753E+03 2.0486E+03 1.9297E+03 2.6881E+03 2.4070E+03 2.1559E+03 2.4644E+03 1.9005E+03 9.1201E+02 5.0942E+02 3.1373E+02 1.4409E+02 7.8107E+01 2.5221E+01 1.2964E+01 8.6664E+01 7.6033E+01 2.5999E+01 1.1765E+01 6.2765E+00 3.7291E+00 1.6205E+00 8.4265E-01 2.5487E-01 1.0935E-01 5.7203E-02 3.4024E-02 2.2139E-02 1.5395E-02 1.1265E-02 8.5821E-03 6.7536E-03 5.4520E-03 4.4934E-03 3.2258E-03 2.8021E-03 2.4683E-03 1.9564E-03 1.7462E-03 1.6613E-03 1.1214E-03 1.0441E-03 9.1205E-04 8.0506E-04 7.1804E-04 5.8633E-04 4.9211E-04 4.7493E-04 4.2195E-04 3.2561E-04 2.6323E-04 1.7547E-04 1.3035E-04 1.0326E-04 8.5238E-05 7.2533E-05 6.3011E-05 5.5686E-05 4.9866E-05 4.5134E-05 4.1212E-05 3.7913E-05 3.5100E-05 3.2669E-05 2.8689E-05 2.5571E-05 2.3063E-05 2.1001E-05 1.9271E-05 1.7812E-05 1.6548E-05 1.2225E-05 9.6905E-06 8.0311E-06 5.9751E-06 4.7577E-06 3.1522E-06 2.3568E-06 1.5660E-06 1.1732E-06 9.3729E-07 7.8043E-07 5.8506E-07 4.6787E-07 3.1172E-07 2.3367E-07 1.5576E-07 1.1680E-07 9.3405E-08 7.7848E-08 5.8383E-08 4.6702E-08 3.1133E-08 2.3348E-08 1.5563E-08 1.1674E-08 9.3405E-09 7.7848E-09 5.8370E-09 4.6696E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.2996E-04 2.0286E-04 3.8911E-04 6.2065E-04 8.8997E-04 1.5153E-03 2.2116E-03 2.3691E-03 2.9359E-03 4.4105E-03 5.8545E-03 9.1525E-03 1.2037E-02 1.4545E-02 1.6788E-02 1.8811E-02 2.0639E-02 2.2317E-02 2.3847E-02 2.5260E-02 2.6557E-02 2.7749E-02 2.8864E-02 2.9908E-02 3.1813E-02 3.3525E-02 3.5074E-02 3.6487E-02 3.7770E-02 3.8950E-02 4.0039E-02 4.4447E-02 4.7714E-02 5.0261E-02 5.4027E-02 5.6698E-02 6.0956E-02 6.3504E-02 6.6440E-02 6.8190E-02 6.9292E-02 7.0135E-02 7.1172E-02 7.1885E-02 7.2857E-02 7.3440E-02 7.4024E-02 7.4348E-02 7.4542E-02 7.4672E-02 7.4866E-02 7.4996E-02 7.5126E-02 7.5255E-02 7.5320E-02 7.5385E-02 7.5385E-02 7.5385E-02 7.5450E-02 7.5450E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0252E-07 3.0412E-06 1.0715E-05 4.3727E-05 8.7052E-05 1.3359E-04 1.8000E-04 2.2492E-04 2.6790E-04 3.0873E-04 3.4743E-04 3.8393E-04 4.1828E-04 4.5101E-04 4.8200E-04 5.1149E-04 5.6607E-04 6.1578E-04 6.6116E-04 7.0329E-04 7.4153E-04 7.7783E-04 8.1089E-04 9.4960E-04 1.0546E-03 1.1382E-03 1.2640E-03 1.3560E-03 1.5090E-03 1.6056E-03 1.7235E-03 1.7948E-03 1.8441E-03 1.8798E-03 1.9297E-03 1.9627E-03 2.0126E-03 2.0405E-03 2.0716E-03 2.0898E-03 2.1008E-03 2.1086E-03 2.1196E-03 2.1261E-03 2.1352E-03 2.1403E-03 2.1455E-03 2.1488E-03 2.1507E-03 2.1514E-03 2.1533E-03 2.1539E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Am.mat0000644000276300001750000002255213136054446020322 0ustar solebliss00000000000000Am 1 95 1.000000 13 4 3 3 4 3 3 3 3 5 3 3 8 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.1357E-03 1.1357E-03 1.2662E-03 1.4118E-03 1.4118E-03 1.5000E-03 1.6171E-03 1.6171E-03 2.0000E-03 3.0000E-03 3.8869E-03 3.8869E-03 4.0000E-03 4.0921E-03 4.0921E-03 4.3701E-03 4.6670E-03 4.6670E-03 5.0000E-03 5.7102E-03 5.7102E-03 6.0000E-03 6.1205E-03 6.1205E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.8504E-02 1.8504E-02 2.0000E-02 2.2944E-02 2.2944E-02 2.3355E-02 2.3773E-02 2.3773E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.2503E-01 1.2503E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.4234E+01 6.3448E+01 1.5655E+01 1.4075E+01 1.4075E+01 1.3927E+01 1.3751E+01 1.3751E+01 1.3637E+01 1.3483E+01 1.3483E+01 1.2990E+01 1.1675E+01 1.0570E+01 1.0570E+01 1.0436E+01 1.0329E+01 1.0329E+01 1.0013E+01 9.6875E+00 9.6875E+00 9.3406E+00 8.6593E+00 8.6593E+00 8.4016E+00 8.2975E+00 8.2975E+00 6.9051E+00 5.7803E+00 3.9394E+00 3.1243E+00 3.1243E+00 2.8493E+00 2.4060E+00 2.4060E+00 2.3524E+00 2.2995E+00 2.2995E+00 1.6821E+00 1.1298E+00 8.1761E-01 6.1668E-01 3.8750E-01 2.6882E-01 1.8473E-01 1.8473E-01 1.3503E-01 8.0969E-02 5.4179E-02 3.8923E-02 2.9356E-02 2.2943E-02 1.8427E-02 1.5123E-02 1.2633E-02 1.0711E-02 9.1971E-03 6.9951E-03 6.1792E-03 5.4977E-03 4.4335E-03 4.0137E-03 3.8477E-03 2.6015E-03 2.4098E-03 2.0844E-03 1.8206E-03 1.6037E-03 1.2719E-03 1.0337E-03 9.9030E-04 8.5659E-04 6.1529E-04 4.6307E-04 2.6139E-04 1.6756E-04 1.1647E-04 8.5627E-05 6.5583E-05 5.1832E-05 4.1996E-05 3.4711E-05 2.9162E-05 2.4851E-05 2.1431E-05 1.8671E-05 1.6409E-05 1.2968E-05 1.0503E-05 8.6816E-06 7.2941E-06 6.2163E-06 5.3591E-06 4.6678E-06 2.6263E-06 1.6808E-06 1.1672E-06 6.5657E-07 4.2020E-07 1.8676E-07 1.0505E-07 4.6703E-08 2.6263E-08 1.6808E-08 1.1672E-08 6.5657E-09 4.2020E-09 1.8676E-09 1.0505E-09 4.6703E-10 2.6263E-10 1.6808E-10 1.1672E-10 6.5657E-11 4.2020E-11 1.8676E-11 1.0505E-11 4.6703E-12 2.6263E-12 1.6808E-12 1.1672E-12 6.5657E-13 4.2020E-13 INCOHERENT SCATTERING CROSS SECTION 4.3284E-03 5.6698E+01 2.4404E-03 5.1089E-03 5.1089E-03 5.8439E-03 6.6598E-03 6.6598E-03 7.1628E-03 7.8318E-03 7.8318E-03 9.9997E-03 1.5478E-02 1.9970E-02 1.9970E-02 2.0515E-02 2.0958E-02 2.0958E-02 2.2271E-02 2.3634E-02 2.3634E-02 2.5123E-02 2.8121E-02 2.8121E-02 2.9285E-02 2.9781E-02 2.9781E-02 3.6718E-02 4.3284E-02 5.6638E-02 6.3675E-02 6.3675E-02 6.6227E-02 7.0612E-02 7.0612E-02 7.1160E-02 7.1702E-02 7.1702E-02 7.8491E-02 8.5998E-02 9.0681E-02 9.3456E-02 9.5710E-02 9.5735E-02 9.4373E-02 9.4373E-02 9.2291E-02 8.7584E-02 8.2973E-02 7.8788E-02 7.5072E-02 7.1777E-02 6.8839E-02 6.6202E-02 6.3817E-02 6.1643E-02 5.9650E-02 5.6113E-02 5.4532E-02 5.3060E-02 5.0415E-02 4.9230E-02 4.8735E-02 4.4151E-02 4.3279E-02 4.1660E-02 4.0187E-02 3.8837E-02 3.6441E-02 3.4365E-02 3.3943E-02 3.2546E-02 2.9517E-02 2.7080E-02 2.2611E-02 1.9534E-02 1.7269E-02 1.5522E-02 1.4130E-02 1.2990E-02 1.2036E-02 1.1226E-02 1.0530E-02 9.9204E-03 9.3852E-03 8.9095E-03 8.4858E-03 7.7549E-03 7.1529E-03 6.6425E-03 6.2064E-03 5.8298E-03 5.4978E-03 5.2080E-03 4.1376E-03 3.4538E-03 2.9756E-03 2.3470E-03 1.9479E-03 1.3872E-03 1.0877E-03 7.7103E-04 6.0380E-04 4.9974E-04 4.2788E-04 3.3423E-04 2.7502E-04 1.9204E-04 1.4863E-04 1.0334E-04 7.9779E-05 6.5211E-05 5.5300E-05 4.2615E-05 3.4786E-05 2.4043E-05 1.8483E-05 1.2747E-05 9.7866E-06 7.9705E-06 6.7366E-06 5.1658E-06 4.2020E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 7.3536E+03 4.1353E+05 2.4733E+04 5.8868E+03 6.2560E+03 5.0871E+03 4.1376E+03 4.1897E+03 3.7115E+03 3.1862E+03 3.2457E+03 2.0822E+03 8.5205E+02 4.7025E+02 1.1006E+03 1.0386E+03 9.7470E+02 1.3756E+03 1.1717E+03 9.9823E+02 1.1632E+03 9.8039E+02 6.9819E+02 7.4006E+02 6.5558E+02 6.2362E+02 6.4988E+02 3.3597E+02 1.9221E+02 6.8382E+01 3.9791E+01 9.3827E+01 7.6435E+01 5.2501E+01 7.4998E+01 7.1567E+01 6.8333E+01 7.8788E+01 4.3755E+01 2.0790E+01 1.1585E+01 7.1504E+00 3.3175E+00 1.8238E+00 1.0007E+00 4.0980E+00 2.5916E+00 1.2490E+00 7.0974E-01 4.4994E-01 3.0822E-01 2.2353E-01 1.6932E-01 1.3270E-01 1.0689E-01 8.8030E-02 7.3842E-02 5.4320E-02 4.7446E-02 4.1861E-02 3.3383E-02 3.0103E-02 2.8815E-02 1.9494E-02 1.8097E-02 1.5744E-02 1.3860E-02 1.2333E-02 1.0024E-02 8.3694E-03 8.0671E-03 7.1353E-03 5.4449E-03 4.3557E-03 2.8394E-03 2.0748E-03 1.6216E-03 1.3253E-03 1.1177E-03 9.6454E-04 8.4735E-04 7.5518E-04 6.8060E-04 6.1916E-04 5.6762E-04 5.2402E-04 4.8660E-04 4.2541E-04 3.7784E-04 3.3968E-04 3.0846E-04 2.8245E-04 2.6065E-04 2.4177E-04 1.7755E-04 1.4023E-04 1.1585E-04 8.5949E-05 6.8308E-05 4.5142E-05 3.3696E-05 2.2370E-05 1.6741E-05 1.3374E-05 1.1134E-05 8.3421E-06 6.6698E-06 4.4424E-06 3.3299E-06 2.2190E-06 1.6640E-06 1.3310E-06 1.1090E-06 8.3174E-07 6.6524E-07 4.4349E-07 3.3250E-07 2.2172E-07 1.6630E-07 1.3302E-07 1.1085E-07 8.3149E-08 6.6524E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.7199E-04 7.5486E-04 1.4842E-03 2.3575E-03 3.2863E-03 5.1177E-03 6.8531E-03 7.2297E-03 8.5180E-03 1.1480E-02 1.4058E-02 1.9553E-02 2.4134E-02 2.8022E-02 3.1515E-02 3.4662E-02 3.7561E-02 4.0237E-02 4.2714E-02 4.5018E-02 4.7174E-02 4.9206E-02 5.1113E-02 5.2872E-02 5.6093E-02 5.8967E-02 6.1594E-02 6.3997E-02 6.6177E-02 6.8184E-02 7.0018E-02 7.7574E-02 8.3174E-02 8.7509E-02 9.3902E-02 9.8411E-02 1.0550E-01 1.0971E-01 1.1464E-01 1.1744E-01 1.1930E-01 1.2061E-01 1.2237E-01 1.2348E-01 1.2512E-01 1.2601E-01 1.2693E-01 1.2752E-01 1.2787E-01 1.2809E-01 1.2839E-01 1.2859E-01 1.2881E-01 1.2898E-01 1.2908E-01 1.2921E-01 1.2926E-01 1.2928E-01 1.2931E-01 1.2933E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0756E-08 2.6882E-06 9.4596E-06 3.8527E-05 7.6608E-05 1.1739E-04 1.5790E-04 1.9702E-04 2.3433E-04 2.6981E-04 3.0301E-04 3.3448E-04 3.6396E-04 3.9196E-04 4.1847E-04 4.4349E-04 4.8958E-04 5.3170E-04 5.6985E-04 6.0479E-04 6.3700E-04 6.6673E-04 6.9423E-04 8.0746E-04 8.9244E-04 9.5909E-04 1.0584E-03 1.1300E-03 1.2467E-03 1.3188E-03 1.4063E-03 1.4583E-03 1.4938E-03 1.5195E-03 1.5550E-03 1.5785E-03 1.6134E-03 1.6335E-03 1.6550E-03 1.6679E-03 1.6756E-03 1.6811E-03 1.6885E-03 1.6932E-03 1.6994E-03 1.7031E-03 1.7066E-03 1.7088E-03 1.7101E-03 1.7110E-03 1.7118E-03 1.7125E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Cd.mat0000644000276300001750000001774013136054446020316 0ustar solebliss00000000000000Cd 1 48 1.000000 5 7 3 3 8 84 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 3.5375E-03 3.5375E-03 3.6310E-03 3.7270E-03 3.7270E-03 4.0000E-03 4.0180E-03 4.0180E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 2.6711E-02 2.6711E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 7.8269E+00 4.5411E+01 8.7790E+00 7.4359E+00 6.9966E+00 6.1073E+00 5.6573E+00 5.6573E+00 5.5830E+00 5.5073E+00 5.5073E+00 5.2930E+00 5.2790E+00 5.2790E+00 4.5949E+00 4.0147E+00 3.1543E+00 2.5693E+00 1.6870E+00 1.1759E+00 7.8216E-01 7.8216E-01 6.6108E-01 4.3179E-01 3.0520E-01 2.2634E-01 1.3832E-01 9.3645E-02 4.5451E-02 2.6781E-02 1.7604E-02 1.2440E-02 9.2548E-03 7.1519E-03 5.6903E-03 4.6340E-03 3.8465E-03 3.2438E-03 2.7722E-03 2.0916E-03 1.8413E-03 1.6331E-03 1.3103E-03 1.1840E-03 1.1341E-03 7.6019E-04 7.0310E-04 6.0669E-04 5.2887E-04 4.6512E-04 3.6786E-04 2.9808E-04 2.8538E-04 2.4637E-04 1.7649E-04 1.3265E-04 7.4680E-05 4.7787E-05 3.3188E-05 2.4386E-05 1.8670E-05 1.4754E-05 1.1952E-05 9.8788E-06 8.2984E-06 7.0716E-06 6.0965E-06 5.3117E-06 4.6683E-06 3.6885E-06 2.9877E-06 2.4692E-06 2.0749E-06 1.7679E-06 1.5247E-06 1.3281E-06 7.4680E-07 4.7808E-07 3.3199E-07 1.8675E-07 1.1952E-07 5.3117E-08 2.9877E-08 1.3281E-08 7.4680E-09 4.7808E-09 3.3199E-09 1.8675E-09 1.1952E-09 5.3117E-10 2.9877E-10 1.3281E-10 7.4680E-11 4.7808E-11 3.3199E-11 1.8675E-11 1.1952E-11 5.3117E-12 2.9877E-12 1.3281E-12 7.4680E-13 4.7808E-13 3.3199E-13 1.8675E-13 1.1952E-13 INCOHERENT SCATTERING CROSS SECTION 5.3787E-03 1.0655E-02 2.1199E-03 9.6859E-03 1.3848E-02 2.1665E-02 2.5629E-02 2.5629E-02 2.6300E-02 2.6984E-02 2.6984E-02 2.8902E-02 2.9026E-02 2.9026E-02 3.5545E-02 4.1695E-02 5.2764E-02 6.2144E-02 7.9019E-02 8.9948E-02 9.9698E-02 9.9698E-02 1.0307E-01 1.0993E-01 1.1352E-01 1.1518E-01 1.1534E-01 1.1347E-01 1.0661E-01 9.9752E-02 9.3714E-02 8.8502E-02 8.3989E-02 8.0037E-02 7.6545E-02 7.3448E-02 7.0688E-02 6.8198E-02 6.5926E-02 6.1906E-02 6.0108E-02 5.8432E-02 5.5435E-02 5.4108E-02 5.3556E-02 4.8456E-02 4.7491E-02 4.5702E-02 4.4074E-02 4.2579E-02 3.9924E-02 3.7640E-02 3.7179E-02 3.5648E-02 3.2315E-02 2.9631E-02 2.4724E-02 2.1354E-02 1.8874E-02 1.6966E-02 1.5440E-02 1.4197E-02 1.3152E-02 1.2268E-02 1.1507E-02 1.0838E-02 1.0254E-02 9.7341E-03 9.2734E-03 8.4752E-03 7.8162E-03 7.2591E-03 6.7823E-03 6.3698E-03 6.0055E-03 5.6894E-03 4.5204E-03 3.7736E-03 3.2513E-03 2.5640E-03 2.1284E-03 1.5156E-03 1.1882E-03 8.4216E-04 6.5948E-04 5.4590E-04 4.6753E-04 3.6515E-04 3.0038E-04 2.0979E-04 1.6238E-04 1.1288E-04 8.7162E-05 7.1251E-05 6.0430E-05 4.6549E-05 3.8010E-05 2.6267E-05 2.0191E-05 1.3929E-05 1.0693E-05 8.7055E-06 7.3609E-06 5.6412E-06 4.5912E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 7.3448E+03 1.3710E+06 3.5443E+04 2.9235E+03 1.4663E+03 5.3519E+02 3.5186E+02 1.1465E+03 1.0751E+03 1.0077E+03 1.3838E+03 1.1641E+03 1.1513E+03 1.3211E+03 7.6394E+02 4.7524E+02 2.2217E+02 1.2177E+02 4.0013E+01 1.7936E+01 7.9287E+00 4.9763E+01 3.6885E+01 1.7234E+01 9.3591E+00 5.6358E+00 2.4975E+00 1.3168E+00 4.0726E-01 1.7732E-01 9.3681E-02 5.6144E-02 3.6767E-02 2.5693E-02 1.8868E-02 1.4416E-02 1.1375E-02 9.2038E-03 7.5989E-03 5.4671E-03 4.7519E-03 4.1873E-03 3.3208E-03 2.9652E-03 2.8217E-03 1.9034E-03 1.7717E-03 1.5465E-03 1.3640E-03 1.2154E-03 9.9095E-04 8.3145E-04 8.0252E-04 7.1294E-04 5.4885E-04 4.4246E-04 2.9379E-04 2.1761E-04 1.7197E-04 1.4175E-04 1.2038E-04 1.0452E-04 9.2305E-05 8.2555E-05 7.4680E-05 6.8144E-05 6.2680E-05 5.7965E-05 5.3947E-05 4.7347E-05 4.2178E-05 3.8020E-05 3.4602E-05 3.1752E-05 2.9331E-05 2.7252E-05 2.0116E-05 1.5938E-05 1.3195E-05 9.8145E-06 7.8109E-06 5.1746E-06 3.8679E-06 2.5699E-06 1.9243E-06 1.5381E-06 1.2809E-06 9.5948E-07 7.6716E-07 5.1124E-07 3.8331E-07 2.5543E-07 1.9158E-07 1.5322E-07 1.2766E-07 9.5734E-08 7.6609E-08 5.1065E-08 3.8294E-08 2.5527E-08 1.9147E-08 1.5316E-08 1.2766E-08 9.5734E-09 7.6609E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6275E-04 2.5278E-04 4.8041E-04 7.5966E-04 1.0802E-03 1.8129E-03 2.6218E-03 2.8051E-03 3.4608E-03 5.1419E-03 6.7662E-03 1.0457E-02 1.3661E-02 1.6425E-02 1.8890E-02 2.1113E-02 2.3127E-02 2.4975E-02 2.6674E-02 2.8243E-02 2.9695E-02 3.1029E-02 3.2267E-02 3.3419E-02 3.5529E-02 3.7420E-02 3.9135E-02 4.0694E-02 4.2113E-02 4.3410E-02 4.4610E-02 4.9480E-02 5.3085E-02 5.5876E-02 6.0055E-02 6.3001E-02 6.7662E-02 7.0501E-02 7.3716E-02 7.5591E-02 7.6823E-02 7.7734E-02 7.8912E-02 7.9662E-02 8.0734E-02 8.1377E-02 8.2019E-02 8.2341E-02 8.2555E-02 8.2716E-02 8.2930E-02 8.3037E-02 8.3198E-02 8.3305E-02 8.3412E-02 8.3466E-02 8.3466E-02 8.3520E-02 8.3520E-02 8.3573E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.9255E-08 2.9432E-06 1.0366E-05 4.2285E-05 8.4162E-05 1.2916E-04 1.7395E-04 2.1729E-04 2.5881E-04 2.9818E-04 3.3547E-04 3.7061E-04 4.0378E-04 4.3528E-04 4.6506E-04 4.9340E-04 5.4590E-04 5.9358E-04 6.3751E-04 6.7716E-04 7.1466E-04 7.4894E-04 7.8055E-04 9.1287E-04 1.0136E-03 1.0929E-03 1.2129E-03 1.3002E-03 1.4443E-03 1.5349E-03 1.6452E-03 1.7111E-03 1.7566E-03 1.7899E-03 1.8354E-03 1.8654E-03 1.9109E-03 1.9366E-03 1.9645E-03 1.9806E-03 1.9908E-03 1.9977E-03 2.0074E-03 2.0133E-03 2.0213E-03 2.0261E-03 2.0304E-03 2.0336E-03 2.0352E-03 2.0363E-03 2.0374E-03 2.0384E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Dy.mat0000644000276300001750000002161613136054446020341 0ustar solebliss00000000000000Dy 1 66 1.000000 10 4 3 3 3 3 6 3 3 8 81 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.2949E-03 1.2949E-03 1.3136E-03 1.3325E-03 1.3325E-03 1.5000E-03 1.6756E-03 1.6756E-03 1.7567E-03 1.8418E-03 1.8418E-03 2.0000E-03 2.0468E-03 2.0468E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 7.7901E-03 7.7901E-03 8.0000E-03 8.5806E-03 8.5806E-03 8.8101E-03 9.0458E-03 9.0458E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 5.3788E-02 5.3788E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.0210E+01 1.0644E+02 1.1536E+01 9.9393E+00 9.9393E+00 9.9210E+00 9.9022E+00 9.9022E+00 9.7355E+00 9.5613E+00 9.5613E+00 9.4863E+00 9.4057E+00 9.4057E+00 9.2426E+00 9.1944E+00 9.1944E+00 8.2494E+00 7.3044E+00 6.4631E+00 5.7331E+00 4.6880E+00 4.6880E+00 4.5842E+00 4.3100E+00 4.3100E+00 4.2075E+00 4.1062E+00 4.1062E+00 3.7319E+00 2.4111E+00 1.7177E+00 1.0125E+00 6.6077E-01 4.6769E-01 4.1729E-01 4.1729E-01 3.5125E-01 2.1987E-01 1.5002E-01 7.3118E-02 4.3508E-02 2.8873E-02 2.0542E-02 1.5347E-02 1.1896E-02 9.4895E-03 7.7454E-03 6.4412E-03 5.4403E-03 4.6555E-03 3.5205E-03 3.1026E-03 2.7549E-03 2.2140E-03 2.0012E-03 1.9171E-03 1.2882E-03 1.1919E-03 1.0289E-03 8.9721E-04 7.8931E-04 6.2470E-04 5.0660E-04 4.8511E-04 4.1900E-04 3.0034E-04 2.2577E-04 1.2711E-04 8.1382E-05 5.6515E-05 4.1543E-05 3.1808E-05 2.5134E-05 2.0360E-05 1.6829E-05 1.4142E-05 1.2048E-05 1.0388E-05 9.0499E-06 7.9529E-06 6.2853E-06 5.0919E-06 4.2062E-06 3.5355E-06 3.0126E-06 2.5975E-06 2.2628E-06 1.2726E-06 8.1456E-07 5.6552E-07 3.1819E-07 2.0364E-07 9.0499E-08 5.0919E-08 2.2625E-08 1.2726E-08 8.1456E-09 5.6553E-09 3.1819E-09 2.0364E-09 9.0499E-10 5.0919E-10 2.2625E-10 1.2726E-10 8.1456E-11 5.6552E-11 3.1819E-11 2.0364E-11 9.0499E-12 5.0919E-12 2.2625E-12 1.2726E-12 8.1456E-13 5.6553E-13 3.1819E-13 2.0364E-13 INCOHERENT SCATTERING CROSS SECTION 5.2661E-03 1.8800E-03 2.3132E-03 7.2747E-03 7.2747E-03 7.4037E-03 7.5342E-03 7.5342E-03 8.6719E-03 9.8615E-03 9.8615E-03 1.0401E-02 1.0966E-02 1.0966E-02 1.2026E-02 1.2337E-02 1.2337E-02 1.8637E-02 2.4819E-02 3.0504E-02 3.5640E-02 4.3619E-02 4.3619E-02 4.4471E-02 4.6769E-02 4.6769E-02 4.7638E-02 4.8511E-02 4.8511E-02 5.1920E-02 6.6670E-02 7.7565E-02 9.1129E-02 9.8318E-02 1.0221E-01 1.0317E-01 1.0317E-01 1.0425E-01 1.0543E-01 1.0451E-01 9.9208E-02 9.3315E-02 8.7974E-02 8.3272E-02 7.9145E-02 7.5527E-02 7.2340E-02 6.9486E-02 6.6901E-02 6.4557E-02 6.2429E-02 5.8677E-02 5.6997E-02 5.5427E-02 5.2612E-02 5.1364E-02 5.0845E-02 4.6028E-02 4.5113E-02 4.3418E-02 4.1877E-02 4.0463E-02 3.7949E-02 3.5773E-02 3.5332E-02 3.3871E-02 3.0712E-02 2.8172E-02 2.3510E-02 2.0308E-02 1.7952E-02 1.6136E-02 1.4687E-02 1.3501E-02 1.2511E-02 1.1666E-02 1.0944E-02 1.0310E-02 9.7540E-03 9.2574E-03 8.8164E-03 8.0604E-03 7.4304E-03 6.9041E-03 6.4520E-03 6.0592E-03 5.7145E-03 5.4107E-03 4.2989E-03 3.5892E-03 3.0926E-03 2.4389E-03 2.0242E-03 1.4416E-03 1.1303E-03 8.0122E-04 6.2741E-04 5.1957E-04 4.4471E-04 3.4732E-04 2.8573E-04 1.9956E-04 1.5446E-04 1.0740E-04 8.2902E-05 6.7781E-05 5.7479E-05 4.4286E-05 3.6151E-05 2.4985E-05 1.9208E-05 1.3245E-05 1.0169E-05 8.2828E-06 7.0005E-06 5.3662E-06 4.3656E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.4837E+03 2.0759E+05 9.4129E+03 1.5116E+03 2.1135E+03 3.1484E+03 4.6843E+03 5.4959E+03 5.5404E+03 4.2211E+03 4.8844E+03 4.3737E+03 3.9135E+03 4.1581E+03 3.4573E+03 3.2786E+03 3.4247E+03 1.3964E+03 6.8782E+02 3.9246E+02 2.4622E+02 1.2515E+02 3.3894E+02 3.2227E+02 2.6512E+02 3.6292E+02 3.4009E+02 3.1871E+02 3.6837E+02 2.8643E+02 9.9171E+01 4.5842E+01 1.5150E+01 6.8226E+00 3.6570E+00 2.9792E+00 1.6239E+01 1.2133E+01 5.6886E+00 3.1056E+00 1.0162E+00 4.5842E-01 2.4865E-01 1.5205E-01 1.0113E-01 7.1561E-02 5.3103E-02 4.0913E-02 3.2490E-02 2.6446E-02 2.1970E-02 1.5926E-02 1.3834E-02 1.2150E-02 9.6310E-03 8.6719E-03 8.2976E-03 5.5922E-03 5.1940E-03 4.5282E-03 3.9950E-03 3.5596E-03 2.8968E-03 2.4222E-03 2.3358E-03 2.0697E-03 1.5868E-03 1.2752E-03 8.3976E-04 6.1815E-04 4.8622E-04 3.9913E-04 3.3802E-04 2.9269E-04 2.5790E-04 2.3032E-04 2.0801E-04 1.8956E-04 1.7410E-04 1.6091E-04 1.4961E-04 1.3108E-04 1.1663E-04 1.0499E-04 9.5502E-05 8.7534E-05 8.0826E-05 7.5045E-05 5.5255E-05 4.3730E-05 3.6177E-05 2.6879E-05 2.1383E-05 1.4149E-05 1.0573E-05 7.0190E-06 5.2550E-06 4.1988E-06 3.4969E-06 2.6201E-06 2.0950E-06 1.3957E-06 1.0462E-06 6.9709E-07 5.2291E-07 4.1840E-07 3.4851E-07 2.6134E-07 2.0905E-07 1.3938E-07 1.0451E-07 6.9671E-08 5.2254E-08 4.1803E-08 3.4836E-08 2.6127E-08 2.0901E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6716E-04 4.1570E-04 7.8874E-04 1.2370E-03 1.7352E-03 2.8152E-03 3.9468E-03 4.1988E-03 5.0877E-03 7.2943E-03 9.3649E-03 1.3968E-02 1.7877E-02 2.1242E-02 2.4215E-02 2.6883E-02 2.9310E-02 3.1534E-02 3.3591E-02 3.5499E-02 3.7282E-02 3.8949E-02 4.0469E-02 4.1914E-02 4.4508E-02 4.6806E-02 4.8918E-02 5.0808E-02 5.2550E-02 5.4144E-02 5.5589E-02 6.1593E-02 6.6040E-02 6.9523E-02 7.4600E-02 7.8232E-02 8.3939E-02 8.7312E-02 9.1277E-02 9.3538E-02 9.5020E-02 9.6095E-02 9.7503E-02 9.8392E-02 9.9727E-02 1.0043E-01 1.0121E-01 1.0165E-01 1.0191E-01 1.0210E-01 1.0232E-01 1.0247E-01 1.0269E-01 1.0280E-01 1.0291E-01 1.0299E-01 1.0302E-01 1.0306E-01 1.0306E-01 1.0310E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4402E-08 2.7974E-06 9.8467E-06 4.0135E-05 7.9900E-05 1.2252E-04 1.6491E-04 2.0594E-04 2.4511E-04 2.8232E-04 3.1745E-04 3.5058E-04 3.8171E-04 4.1136E-04 4.3952E-04 4.6584E-04 5.1512E-04 5.5960E-04 6.0073E-04 6.3816E-04 6.7263E-04 7.0450E-04 7.3414E-04 8.5681E-04 9.4909E-04 1.0217E-03 1.1311E-03 1.2100E-03 1.3401E-03 1.4209E-03 1.5194E-03 1.5784E-03 1.6184E-03 1.6480E-03 1.6884E-03 1.7155E-03 1.7555E-03 1.7785E-03 1.8033E-03 1.8181E-03 1.8270E-03 1.8333E-03 1.8418E-03 1.8470E-03 1.8544E-03 1.8585E-03 1.8626E-03 1.8652E-03 1.8667E-03 1.8678E-03 1.8689E-03 1.8696E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Au.mat0000644000276300001750000002205213136054446020325 0ustar solebliss00000000000000 Gold 1 79 1.000000 10 6 3 3 3 3 7 3 3 9 79 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.2057E-03 2.2057E-03 2.2480E-03 2.2911E-03 2.2911E-03 2.5069E-03 2.7430E-03 2.7430E-03 3.0000E-03 3.1478E-03 3.1478E-03 3.2834E-03 3.4249E-03 3.4249E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.1919E-02 1.1919E-02 1.2794E-02 1.3734E-02 1.3734E-02 1.4040E-02 1.4353E-02 1.4353E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 8.0725E-02 8.0725E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.2266E+01 4.6931E+01 1.3368E+01 1.1808E+01 1.1267E+01 1.1025E+01 1.1025E+01 1.0975E+01 1.0924E+01 1.0924E+01 1.0678E+01 1.0411E+01 1.0411E+01 1.0111E+01 9.9397E+00 9.9397E+00 9.7873E+00 9.6309E+00 9.6309E+00 9.0072E+00 8.0319E+00 7.1880E+00 5.8458E+00 4.8369E+00 4.0817E+00 4.0817E+00 3.7906E+00 3.5099E+00 3.5099E+00 3.4251E+00 3.3418E+00 3.3418E+00 3.1797E+00 2.2417E+00 1.3230E+00 8.7993E-01 6.2402E-01 4.6718E-01 2.9354E-01 2.8920E-01 2.8920E-01 2.0240E-01 9.9459E-02 5.9314E-02 3.9529E-02 2.8254E-02 2.1196E-02 1.6483E-02 1.3180E-02 1.0777E-02 8.9763E-03 7.5916E-03 6.5045E-03 4.9292E-03 4.3477E-03 3.8631E-03 3.1084E-03 2.8113E-03 2.6939E-03 1.8137E-03 1.6788E-03 1.4503E-03 1.2655E-03 1.1138E-03 8.8208E-04 7.1575E-04 6.8548E-04 5.9232E-04 4.2488E-04 3.1950E-04 1.7999E-04 1.1530E-04 8.0105E-05 5.8856E-05 4.5067E-05 3.5619E-05 2.8853E-05 2.3848E-05 2.0042E-05 1.7076E-05 1.4725E-05 1.2826E-05 1.1273E-05 8.9094E-06 7.2156E-06 5.9620E-06 5.0111E-06 4.2682E-06 3.6812E-06 3.2073E-06 1.8042E-06 1.1545E-06 8.0166E-07 4.5097E-07 2.8865E-07 1.2829E-07 7.2156E-08 3.2073E-08 1.8039E-08 1.1545E-08 8.0166E-09 4.5097E-09 2.8865E-09 1.2829E-09 7.2156E-10 3.2073E-10 1.8039E-10 1.1545E-10 8.0166E-11 4.5097E-11 2.8865E-11 1.2829E-11 7.2156E-12 3.2073E-12 1.8039E-12 1.1545E-12 8.0166E-13 4.5097E-13 2.8865E-13 INCOHERENT SCATTERING CROSS SECTION 3.2684E-03 2.5356E-03 1.2062E-03 6.0660E-03 8.9552E-03 1.0142E-02 1.0142E-02 1.0384E-02 1.0631E-02 1.0631E-02 1.1849E-02 1.3165E-02 1.3165E-02 1.4590E-02 1.5400E-02 1.5400E-02 1.6128E-02 1.6877E-02 1.6877E-02 1.9907E-02 2.4992E-02 2.9871E-02 3.8768E-02 4.6290E-02 5.2405E-02 5.2405E-02 5.4808E-02 5.7235E-02 5.7235E-02 5.8012E-02 5.8795E-02 5.8795E-02 6.0354E-02 7.0535E-02 8.4263E-02 9.2274E-02 9.6829E-02 9.9367E-02 1.0114E-01 1.0117E-01 1.0117E-01 1.0077E-01 9.6462E-02 9.1112E-02 8.6056E-02 8.1573E-02 7.7645E-02 7.4174E-02 7.1077E-02 6.8303E-02 6.5804E-02 6.3534E-02 6.1454E-02 5.7773E-02 5.6135E-02 5.4611E-02 5.1869E-02 5.0631E-02 5.0111E-02 4.5372E-02 4.4474E-02 4.2809E-02 4.1306E-02 3.9943E-02 3.7507E-02 3.5313E-02 3.4855E-02 3.3364E-02 3.0267E-02 2.7810E-02 2.3209E-02 2.0051E-02 1.7724E-02 1.5932E-02 1.4501E-02 1.3330E-02 1.2352E-02 1.1520E-02 1.0805E-02 1.0178E-02 9.6309E-03 9.1448E-03 8.7076E-03 7.9585E-03 7.3379E-03 6.8181E-03 6.3687E-03 5.9804E-03 5.6440E-03 5.3444E-03 4.2468E-03 3.5436E-03 3.0538E-03 2.4083E-03 1.9990E-03 1.4235E-03 1.1163E-03 7.9127E-04 6.1974E-04 5.1304E-04 4.3905E-04 3.4304E-04 2.8217E-04 1.9705E-04 1.5251E-04 1.0603E-04 8.1848E-05 6.6927E-05 5.6746E-05 4.3721E-05 3.5711E-05 2.4674E-05 1.8968E-05 1.3083E-05 1.0044E-05 8.1787E-06 6.9129E-06 5.3016E-06 4.3141E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 4.6412E+03 4.4582E+05 1.8337E+04 2.0769E+03 1.1254E+03 9.0775E+02 9.8266E+02 1.4752E+03 2.2136E+03 2.3466E+03 2.2674E+03 2.1913E+03 2.5288E+03 2.0393E+03 1.8121E+03 1.9228E+03 1.7401E+03 1.5752E+03 1.6425E+03 1.1346E+03 6.5796E+02 4.1795E+02 2.0130E+02 1.1325E+02 7.1697E+01 1.8290E+02 1.5103E+02 1.2474E+02 1.7287E+02 1.6392E+02 1.5544E+02 1.7959E+02 1.6049E+02 7.6497E+01 2.6114E+01 1.2010E+01 6.5368E+00 3.9624E+00 1.7904E+00 1.7461E+00 8.5119E+00 4.8552E+00 1.6636E+00 7.7109E-01 4.2632E-01 2.6462E-01 1.7814E-01 1.2731E-01 9.5256E-02 7.3898E-02 5.9026E-02 4.8277E-02 4.0264E-02 2.9355E-02 2.5551E-02 2.2476E-02 1.7853E-02 1.6085E-02 1.5394E-02 1.0383E-02 9.6404E-03 8.3960E-03 7.3990E-03 6.5861E-03 5.3533E-03 4.4761E-03 4.3171E-03 3.8250E-03 2.9247E-03 2.3429E-03 1.5354E-03 1.1261E-03 8.8299E-04 7.2339E-04 6.1149E-04 5.2863E-04 4.6504E-04 4.1489E-04 3.7423E-04 3.4090E-04 3.1278E-04 2.8896E-04 2.6844E-04 2.3499E-04 2.0891E-04 1.8797E-04 1.7085E-04 1.5654E-04 1.4443E-04 1.3407E-04 9.8633E-05 7.7965E-05 6.4451E-05 4.7849E-05 3.8065E-05 2.5166E-05 1.8797E-05 1.2480E-05 9.3405E-06 7.4632E-06 6.2127E-06 4.6565E-06 3.7209E-06 2.4793E-06 1.8589E-06 1.2386E-06 9.2885E-07 7.4296E-07 6.1913E-07 4.6412E-07 3.7148E-07 2.4756E-07 1.8568E-07 1.2377E-07 9.2824E-08 7.4265E-08 6.1883E-08 4.6412E-08 3.7117E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.5956E-04 5.6462E-04 1.0833E-03 1.7033E-03 2.3785E-03 3.7837E-03 5.1915E-03 5.5003E-03 6.5757E-03 9.1670E-03 1.1533E-02 1.6700E-02 2.1023E-02 2.4747E-02 2.8028E-02 3.0972E-02 3.3662E-02 3.6139E-02 3.8401E-02 4.0542E-02 4.2529E-02 4.4394E-02 4.6106E-02 4.7727E-02 5.0662E-02 5.3261E-02 5.5615E-02 5.7755E-02 5.9742E-02 6.1516E-02 6.3197E-02 6.9985E-02 7.4999E-02 7.8913E-02 8.4630E-02 8.8696E-02 9.5056E-02 9.8847E-02 1.0325E-01 1.0576E-01 1.0738E-01 1.0857E-01 1.1013E-01 1.1114E-01 1.1257E-01 1.1337E-01 1.1423E-01 1.1468E-01 1.1499E-01 1.1520E-01 1.1545E-01 1.1563E-01 1.1585E-01 1.1597E-01 1.1609E-01 1.1618E-01 1.1621E-01 1.1624E-01 1.1627E-01 1.1631E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3162E-08 2.7605E-06 9.7165E-06 3.9594E-05 7.8760E-05 1.2074E-04 1.6250E-04 2.0283E-04 2.4135E-04 2.7789E-04 3.1247E-04 3.4488E-04 3.7545E-04 4.0450E-04 4.3171E-04 4.5770E-04 5.0601E-04 5.4942E-04 5.8917E-04 6.2555E-04 6.5918E-04 6.9037E-04 7.1911E-04 8.3743E-04 9.2640E-04 9.9642E-04 1.1010E-03 1.1762E-03 1.2988E-03 1.3749E-03 1.4663E-03 1.5208E-03 1.5575E-03 1.5841E-03 1.6207E-03 1.6449E-03 1.6807E-03 1.7009E-03 1.7226E-03 1.7354E-03 1.7430E-03 1.7486E-03 1.7559E-03 1.7605E-03 1.7666E-03 1.7703E-03 1.7736E-03 1.7758E-03 1.7770E-03 1.7779E-03 1.7788E-03 1.7794E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ne.mat0000644000276300001750000001642013136054446020324 0ustar solebliss00000000000000Ne 1 10 1.000000 1 96 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.9001E+00 1.5636E+01 2.1490E+00 1.8031E+00 1.6831E+00 1.4151E+00 1.1597E+00 9.4452E-01 7.7412E-01 5.4045E-01 3.9840E-01 2.2263E-01 1.4554E-01 7.7292E-02 4.7629E-02 3.2170E-02 2.3140E-02 1.3617E-02 8.9468E-03 4.1063E-03 2.3397E-03 1.5068E-03 1.0502E-03 7.7329E-04 5.9297E-04 4.6905E-04 3.8019E-04 3.1432E-04 2.6420E-04 2.2520E-04 1.6926E-04 1.4877E-04 1.3175E-04 1.0547E-04 9.5228E-05 9.1199E-05 6.0968E-05 5.6365E-05 4.8605E-05 4.2347E-05 3.7222E-05 2.9411E-05 2.3823E-05 2.2809E-05 1.9690E-05 1.4100E-05 1.0591E-05 5.9566E-06 3.8139E-06 2.6476E-06 1.9451E-06 1.4894E-06 1.1767E-06 9.5317E-07 7.8784E-07 6.6191E-07 5.6402E-07 4.8643E-07 4.2347E-07 3.7244E-07 2.9419E-07 2.3829E-07 1.9693E-07 1.6548E-07 1.4101E-07 1.2158E-07 1.0591E-07 5.9566E-08 3.8139E-08 2.6476E-08 1.4891E-08 9.5317E-09 4.2347E-09 2.3826E-09 1.0588E-09 5.9566E-10 3.8109E-10 2.6473E-10 1.4891E-10 9.5287E-11 4.2347E-11 2.3826E-11 1.0588E-11 5.9566E-12 3.8109E-12 2.6473E-12 1.4891E-12 9.5287E-13 4.2347E-13 2.3826E-13 1.0588E-13 5.9566E-14 3.8109E-14 2.6473E-14 1.4891E-14 9.5287E-15 INCOHERENT SCATTERING CROSS SECTION 5.4791E-03 4.8963E-04 1.5631E-03 1.1645E-02 1.9254E-02 3.6438E-02 5.3597E-02 6.9235E-02 8.2783E-02 1.0364E-01 1.1785E-01 1.3737E-01 1.4700E-01 1.5560E-01 1.5778E-01 1.5709E-01 1.5512E-01 1.4972E-01 1.4393E-01 1.3095E-01 1.2050E-01 1.1208E-01 1.0514E-01 9.9308E-02 9.4332E-02 9.0020E-02 8.6215E-02 8.2816E-02 7.9769E-02 7.7028E-02 7.2248E-02 7.0130E-02 6.8159E-02 6.4630E-02 6.3057E-02 6.2401E-02 5.6373E-02 5.5245E-02 5.3164E-02 5.1269E-02 4.9524E-02 4.6419E-02 4.3749E-02 4.3212E-02 4.1425E-02 3.7536E-02 3.4408E-02 2.8709E-02 2.4793E-02 2.1913E-02 1.9696E-02 1.7923E-02 1.6476E-02 1.5267E-02 1.4238E-02 1.3355E-02 1.2582E-02 1.1901E-02 1.1298E-02 1.0761E-02 9.8331E-03 9.0692E-03 8.4245E-03 7.8725E-03 7.3920E-03 6.9712E-03 6.6012E-03 5.2463E-03 4.3779E-03 3.7721E-03 2.9759E-03 2.4698E-03 1.7589E-03 1.3790E-03 9.7734E-04 7.6546E-04 6.3356E-04 5.4254E-04 4.2376E-04 3.4856E-04 2.4349E-04 1.8843E-04 1.3101E-04 1.0114E-04 8.2694E-05 7.0130E-05 5.4015E-05 4.4107E-05 3.0469E-05 2.3435E-05 1.6163E-05 1.2409E-05 1.0105E-05 8.5409E-06 6.5504E-06 5.3269E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 7.4069E+03 3.0022E+07 4.4551E+04 2.6643E+03 1.2412E+03 4.0377E+02 1.7723E+02 9.2363E+01 5.3836E+01 2.2639E+01 1.1451E+01 3.2528E+00 1.3134E+00 3.5930E-01 1.4184E-01 6.8668E-02 3.7870E-02 1.4778E-02 7.1204E-03 1.9034E-03 7.5681E-04 3.7541E-04 2.1490E-04 1.3596E-04 9.2482E-05 6.6467E-05 4.9956E-05 3.8931E-05 3.1126E-05 2.5373E-05 1.8013E-05 1.5730E-05 1.4023E-05 1.1184E-05 9.7794E-06 9.1736E-06 6.2252E-06 5.8301E-06 5.1098E-06 4.5122E-06 4.0364E-06 3.3329E-06 2.8294E-06 2.7363E-06 2.4481E-06 1.9199E-06 1.5739E-06 1.0776E-06 8.1560E-07 6.5504E-07 5.4672E-07 4.6883E-07 4.1004E-07 3.6438E-07 3.2797E-07 2.9798E-07 2.7303E-07 2.5193E-07 2.3385E-07 2.1818E-07 1.9237E-07 1.7201E-07 1.5554E-07 1.4193E-07 1.3053E-07 1.2080E-07 1.1245E-07 8.3499E-08 6.6400E-08 5.5119E-08 4.1123E-08 3.2797E-08 2.1779E-08 1.6300E-08 1.0845E-08 8.1261E-09 6.4967E-09 5.4105E-09 4.0556E-09 3.2439E-09 2.1621E-09 1.6213E-09 1.0806E-09 8.1023E-10 6.4818E-10 5.4015E-10 4.0526E-10 3.2409E-10 2.1606E-10 1.6205E-10 1.0803E-10 8.1023E-11 6.4818E-11 5.4015E-11 4.0496E-11 3.2409E-11 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4143E-05 3.9110E-05 7.9751E-05 1.3322E-04 1.9762E-04 3.5194E-04 5.2971E-04 5.7089E-04 7.2052E-04 1.1165E-03 1.5124E-03 2.4513E-03 3.2886E-03 4.0377E-03 4.7032E-03 5.3060E-03 5.8521E-03 6.3475E-03 6.7951E-03 7.2100E-03 7.5919E-03 7.9501E-03 8.2813E-03 8.5947E-03 9.1706E-03 9.6839E-03 1.0149E-02 1.0573E-02 1.0961E-02 1.1319E-02 1.1651E-02 1.3014E-02 1.4041E-02 1.4853E-02 1.6085E-02 1.6980E-02 1.8434E-02 1.9317E-02 2.0353E-02 2.0952E-02 2.1349E-02 2.1633E-02 2.2012E-02 2.2260E-02 2.2615E-02 2.2809E-02 2.3021E-02 2.3134E-02 2.3206E-02 2.3256E-02 2.3319E-02 2.3361E-02 2.3417E-02 2.3447E-02 2.3480E-02 2.3498E-02 2.3507E-02 2.3516E-02 2.3525E-02 2.3531E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.1525E-07 3.4183E-06 1.2041E-05 4.9151E-05 9.7973E-05 1.5047E-04 2.0287E-04 2.5375E-04 3.0260E-04 3.4916E-04 3.9303E-04 4.3481E-04 4.7420E-04 5.1180E-04 5.4761E-04 5.8163E-04 6.4490E-04 7.0279E-04 7.5591E-04 8.0515E-04 8.5111E-04 8.9349E-04 9.3347E-04 1.1009E-03 1.2307E-03 1.3361E-03 1.4984E-03 1.6199E-03 1.8267E-03 1.9598E-03 2.1257E-03 2.2263E-03 2.2952E-03 2.3459E-03 2.4155E-03 2.4620E-03 2.5306E-03 2.5694E-03 2.6115E-03 2.6363E-03 2.6512E-03 2.6620E-03 2.6760E-03 2.6849E-03 2.6969E-03 2.7040E-03 2.7103E-03 2.7148E-03 2.7175E-03 2.7190E-03 2.7207E-03 2.7219E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Cm.mat0000644000276300001750000002255213136054446020324 0ustar solebliss00000000000000Cm 1 96 1.000000 13 4 3 3 4 3 3 3 3 5 3 3 8 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.1540E-03 1.1540E-03 1.2891E-03 1.4400E-03 1.4400E-03 1.5000E-03 1.6430E-03 1.6430E-03 2.0000E-03 3.0000E-03 3.9710E-03 3.9710E-03 4.0000E-03 4.2270E-03 4.2270E-03 4.5030E-03 4.7970E-03 4.7970E-03 5.0000E-03 5.8950E-03 5.8950E-03 6.0000E-03 6.2880E-03 6.2880E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.8930E-02 1.8930E-02 2.0000E-02 2.3799E-02 2.3799E-02 2.4127E-02 2.4460E-02 2.4460E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.2822E-01 1.2822E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.4300E+01 8.2367E+01 1.5848E+01 1.4118E+01 1.4118E+01 1.3959E+01 1.3771E+01 1.3771E+01 1.3693E+01 1.3503E+01 1.3503E+01 1.3033E+01 1.1712E+01 1.0513E+01 1.0513E+01 1.0478E+01 1.0218E+01 1.0218E+01 9.9109E+00 9.5961E+00 9.5961E+00 9.3865E+00 8.5358E+00 8.5358E+00 8.4432E+00 8.1970E+00 8.1970E+00 6.9393E+00 5.8108E+00 3.9657E+00 3.0663E+00 3.0663E+00 2.8737E+00 2.3175E+00 2.3175E+00 2.2769E+00 2.2368E+00 2.2368E+00 1.6979E+00 1.1400E+00 8.2580E-01 6.2349E-01 3.9194E-01 2.7202E-01 1.7922E-01 1.7922E-01 1.3674E-01 8.2019E-02 5.4883E-02 3.9437E-02 2.9762E-02 2.3272E-02 1.8697E-02 1.5348E-02 1.2825E-02 1.0876E-02 9.3400E-03 7.1046E-03 6.2764E-03 5.5848E-03 4.5055E-03 4.0802E-03 3.9121E-03 2.6446E-03 2.4496E-03 2.1190E-03 1.8510E-03 1.6307E-03 1.2936E-03 1.0513E-03 1.0071E-03 8.7115E-04 6.2591E-04 4.7115E-04 2.6592E-04 1.7052E-04 1.1853E-04 8.7138E-05 6.6737E-05 5.2746E-05 4.2728E-05 3.5318E-05 2.9688E-05 2.5300E-05 2.1815E-05 1.9005E-05 1.6704E-05 1.3199E-05 1.0691E-05 8.8356E-06 7.4244E-06 6.3275E-06 5.4549E-06 4.7530E-06 2.6738E-06 1.7111E-06 1.1882E-06 6.6834E-07 4.2777E-07 1.9012E-07 1.0693E-07 4.7530E-08 2.6738E-08 1.7111E-08 1.1882E-08 6.6834E-09 4.2777E-09 1.9012E-09 1.0693E-09 4.7530E-10 2.6738E-10 1.7111E-10 1.1882E-10 6.6834E-11 4.2777E-11 1.9012E-11 1.0693E-11 4.7530E-12 2.6738E-12 1.7111E-12 1.1882E-12 6.6834E-13 4.2777E-13 INCOHERENT SCATTERING CROSS SECTION 4.2509E-03 9.9379E+01 2.3950E-03 5.1381E-03 5.1381E-03 5.8936E-03 6.7346E-03 6.7346E-03 7.0758E-03 7.8826E-03 7.8826E-03 9.8837E-03 1.5322E-02 2.0199E-02 2.0199E-02 2.0338E-02 2.1413E-02 2.1413E-02 2.2688E-02 2.4013E-02 2.4013E-02 2.4910E-02 2.8640E-02 2.8640E-02 2.9054E-02 3.0200E-02 3.0200E-02 3.6415E-02 4.2923E-02 5.6182E-02 6.3909E-02 6.3909E-02 6.5688E-02 7.1173E-02 7.1173E-02 7.1589E-02 7.2001E-02 7.2001E-02 7.7851E-02 8.5310E-02 8.9941E-02 9.2719E-02 9.4986E-02 9.5035E-02 9.3426E-02 9.3426E-02 9.1647E-02 8.6991E-02 8.2426E-02 7.8290E-02 7.4615E-02 7.1343E-02 6.8415E-02 6.5786E-02 6.3413E-02 6.1252E-02 5.9269E-02 5.5762E-02 5.4208E-02 5.2767E-02 5.0149E-02 4.8943E-02 4.8432E-02 4.3898E-02 4.3042E-02 4.1441E-02 3.9974E-02 3.8624E-02 3.6230E-02 3.4173E-02 3.3758E-02 3.2379E-02 2.9367E-02 2.6933E-02 2.2475E-02 1.9419E-02 1.7167E-02 1.5431E-02 1.4047E-02 1.2913E-02 1.1965E-02 1.1161E-02 1.0466E-02 9.8618E-03 9.3304E-03 8.8576E-03 8.4359E-03 7.7096E-03 7.1099E-03 6.6030E-03 6.1715E-03 5.7937E-03 5.4671E-03 5.1771E-03 4.1144E-03 3.4343E-03 2.9590E-03 2.3331E-03 1.9365E-03 1.3791E-03 1.0812E-03 7.6632E-04 6.0034E-04 4.9699E-04 4.2533E-04 3.3222E-04 2.7323E-04 1.9090E-04 1.4776E-04 1.0274E-04 7.9289E-05 6.4835E-05 5.4988E-05 4.2362E-05 3.4587E-05 2.3901E-05 1.8376E-05 1.2672E-05 9.7302E-06 7.9216E-06 6.6980E-06 5.1356E-06 4.1777E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 7.5243E+03 4.1417E+05 2.5149E+04 5.8669E+03 6.2276E+03 5.0461E+03 4.0900E+03 4.1729E+03 3.8170E+03 3.1711E+03 3.2296E+03 2.1405E+03 8.7723E+02 4.6067E+02 1.0379E+03 1.0269E+03 9.2183E+02 1.2874E+03 1.1089E+03 9.5522E+02 1.1120E+03 1.0069E+03 6.6054E+02 7.0051E+02 6.7053E+02 5.9692E+02 6.2179E+02 3.4368E+02 1.9670E+02 7.0100E+01 3.8487E+01 9.0379E+01 7.8509E+01 4.8797E+01 6.9856E+01 6.7355E+01 6.4957E+01 7.4853E+01 4.4727E+01 2.1325E+01 1.1904E+01 7.3586E+00 3.4221E+00 1.8827E+00 9.6692E-01 3.9096E+00 2.6422E+00 1.2755E+00 7.2611E-01 4.6116E-01 3.1630E-01 2.2960E-01 1.7407E-01 1.3652E-01 1.1002E-01 9.0672E-02 7.6130E-02 5.6060E-02 4.8943E-02 4.3134E-02 3.4374E-02 3.1053E-02 2.9761E-02 2.0123E-02 1.8673E-02 1.6246E-02 1.4305E-02 1.2728E-02 1.0339E-02 8.6358E-03 8.3262E-03 7.3690E-03 5.6222E-03 4.4946E-03 2.9298E-03 2.1393E-03 1.6721E-03 1.3662E-03 1.1519E-03 9.9422E-04 8.7333E-04 7.7802E-04 7.0125E-04 6.3787E-04 5.8498E-04 5.3989E-04 5.0113E-04 4.3825E-04 3.8926E-04 3.4977E-04 3.1784E-04 2.9103E-04 2.6836E-04 2.4910E-04 1.8283E-04 1.4439E-04 1.1929E-04 8.8503E-05 7.0344E-05 4.6482E-05 3.4709E-05 2.3031E-05 1.7235E-05 1.3769E-05 1.1463E-05 8.5870E-06 6.8662E-06 4.5726E-06 3.4270E-06 2.2843E-06 1.7130E-06 1.3701E-06 1.1417E-06 8.5627E-07 6.8491E-07 4.5653E-07 3.4246E-07 2.2826E-07 1.7118E-07 1.3696E-07 1.1412E-07 8.5602E-08 6.8467E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.7627E-04 7.6266E-04 1.5022E-03 2.3884E-03 3.3312E-03 5.1852E-03 6.9271E-03 7.3025E-03 8.5877E-03 1.1556E-02 1.4147E-02 1.9626E-02 2.4196E-02 2.8055E-02 3.1540E-02 3.4684E-02 3.7585E-02 4.0242E-02 4.2728E-02 4.5043E-02 4.7188E-02 4.9236E-02 5.1137E-02 5.2892E-02 5.6134E-02 5.9010E-02 6.1618E-02 6.4031E-02 6.6225E-02 6.8223E-02 7.0076E-02 7.7632E-02 8.3238E-02 8.7601E-02 9.4011E-02 9.8520E-02 1.0561E-01 1.0985E-01 1.1478E-01 1.1761E-01 1.1946E-01 1.2077E-01 1.2253E-01 1.2367E-01 1.2528E-01 1.2621E-01 1.2711E-01 1.2772E-01 1.2804E-01 1.2828E-01 1.2857E-01 1.2877E-01 1.2901E-01 1.2916E-01 1.2928E-01 1.2938E-01 1.2945E-01 1.2948E-01 1.2950E-01 1.2952E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.0130E-08 2.6711E-06 9.4036E-06 3.8316E-05 7.6145E-05 1.1668E-04 1.5695E-04 1.9582E-04 2.3292E-04 2.6812E-04 3.0126E-04 3.3246E-04 3.6171E-04 3.8950E-04 4.1582E-04 4.4069E-04 4.8651E-04 5.2819E-04 5.6621E-04 6.0082E-04 6.3275E-04 6.6249E-04 6.8979E-04 8.0240E-04 8.8649E-04 9.5279E-04 1.0515E-03 1.1224E-03 1.2382E-03 1.3099E-03 1.3969E-03 1.4483E-03 1.4834E-03 1.5090E-03 1.5443E-03 1.5677E-03 1.6024E-03 1.6221E-03 1.6436E-03 1.6562E-03 1.6640E-03 1.6694E-03 1.6765E-03 1.6811E-03 1.6872E-03 1.6911E-03 1.6945E-03 1.6967E-03 1.6979E-03 1.6989E-03 1.6996E-03 1.7003E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Sn.mat0000644000276300001750000001774013136054446020350 0ustar solebliss00000000000000Sn 1 50 1.000000 5 7 3 3 8 84 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 3.9288E-03 3.9288E-03 4.0000E-03 4.1561E-03 4.1561E-03 4.3076E-03 4.4647E-03 4.4647E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 2.9200E-02 2.9200E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 8.0001E+00 4.6626E+01 9.0339E+00 7.5689E+00 7.1022E+00 6.2043E+00 5.4636E+00 5.4636E+00 5.4078E+00 5.2962E+00 5.2962E+00 5.1890E+00 5.0781E+00 5.0781E+00 4.7224E+00 4.1416E+00 3.2563E+00 2.6471E+00 1.7441E+00 1.2266E+00 7.1935E-01 7.1935E-01 6.9145E-01 4.5134E-01 3.1985E-01 2.3782E-01 1.4565E-01 9.8619E-02 4.7899E-02 2.8272E-02 1.8606E-02 1.3154E-02 9.7865E-03 7.5638E-03 6.0208E-03 4.9056E-03 4.0731E-03 3.4354E-03 2.9364E-03 2.2161E-03 1.9511E-03 1.7307E-03 1.3889E-03 1.2551E-03 1.2023E-03 8.0610E-04 7.4550E-04 6.4315E-04 5.6056E-04 4.9299E-04 3.8997E-04 3.1610E-04 3.0265E-04 2.6132E-04 1.8720E-04 1.4067E-04 7.9189E-05 5.0689E-05 3.5206E-05 2.5867E-05 1.9805E-05 1.5650E-05 1.2677E-05 1.0476E-05 8.8016E-06 7.5029E-06 6.4681E-06 5.6361E-06 4.9517E-06 3.9128E-06 3.1691E-06 2.6192E-06 2.2012E-06 1.8755E-06 1.6173E-06 1.4088E-06 7.9240E-07 5.0710E-07 3.5217E-07 1.9810E-07 1.2677E-07 5.6361E-08 3.1691E-08 1.4088E-08 7.9240E-09 5.0710E-09 3.5212E-09 1.9810E-09 1.2677E-09 5.6361E-10 3.1691E-10 1.4088E-10 7.9240E-11 5.0710E-11 3.5212E-11 1.9810E-11 1.2677E-11 5.6361E-12 3.1691E-12 1.4088E-12 7.9240E-13 5.0710E-13 3.5212E-13 1.9810E-13 1.2677E-13 INCOHERENT SCATTERING CROSS SECTION 5.2708E-03 7.5700E-03 1.9996E-03 9.6843E-03 1.4052E-02 2.2022E-02 2.8581E-02 2.8581E-02 2.9058E-02 3.0093E-02 3.0093E-02 3.1078E-02 3.2082E-02 3.2082E-02 3.5404E-02 4.1223E-02 5.1643E-02 6.0673E-02 7.7312E-02 8.8067E-02 1.0014E-01 1.0014E-01 1.0090E-01 1.0770E-01 1.1125E-01 1.1292E-01 1.1323E-01 1.1150E-01 1.0486E-01 9.8213E-02 9.2322E-02 8.7205E-02 8.2760E-02 7.8885E-02 7.5480E-02 7.2442E-02 6.9700E-02 6.7217E-02 6.4961E-02 6.1004E-02 5.9252E-02 5.7626E-02 5.4695E-02 5.3368E-02 5.2810E-02 4.7793E-02 4.6844E-02 4.5080E-02 4.3470E-02 4.1996E-02 3.9381E-02 3.7124E-02 3.6668E-02 3.5152E-02 3.1868E-02 2.9225E-02 2.4386E-02 2.1063E-02 1.8618E-02 1.6736E-02 1.5234E-02 1.4001E-02 1.2972E-02 1.2099E-02 1.1348E-02 1.0689E-02 1.0116E-02 9.6032E-03 9.1466E-03 8.3603E-03 7.7059E-03 7.1580E-03 6.6913E-03 6.2804E-03 5.9252E-03 5.6107E-03 4.4592E-03 3.7220E-03 3.2071E-03 2.5294E-03 2.0992E-03 1.4950E-03 1.1724E-03 8.3095E-04 6.5086E-04 5.3875E-04 4.6118E-04 3.6018E-04 2.9631E-04 2.0693E-04 1.6015E-04 1.1135E-04 8.5987E-05 7.0261E-05 5.9608E-05 4.5916E-05 3.7489E-05 2.5908E-05 1.9922E-05 1.3738E-05 1.0547E-05 8.5886E-06 7.2594E-06 5.5651E-06 4.5287E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 8.1472E+03 1.4095E+06 3.8439E+04 3.2883E+03 1.6579E+03 6.0774E+02 3.0595E+02 9.2024E+02 9.3394E+02 8.4161E+02 1.1394E+03 1.0493E+03 9.6590E+02 1.1120E+03 8.4211E+02 5.2505E+02 2.4675E+02 1.3570E+02 4.4820E+01 2.0145E+01 6.9398E+00 4.2765E+01 4.0422E+01 1.8866E+01 1.0268E+01 6.2144E+00 2.7698E+00 1.4666E+00 4.5637E-01 1.9952E-01 1.0574E-01 6.3514E-02 4.1659E-02 2.9149E-02 2.1430E-02 1.6391E-02 1.2944E-02 1.0481E-02 8.6581E-03 6.2330E-03 5.4179E-03 4.7738E-03 3.7855E-03 3.3806E-03 3.2173E-03 2.1697E-03 2.0194E-03 1.7625E-03 1.5544E-03 1.3848E-03 1.1286E-03 9.4662E-04 9.1364E-04 8.1154E-04 6.2446E-04 5.0314E-04 3.3370E-04 2.4705E-04 1.9511E-04 1.6076E-04 1.3646E-04 1.1845E-04 1.0455E-04 9.3495E-05 8.4567E-05 7.7160E-05 7.0920E-05 6.5644E-05 6.1079E-05 5.3571E-05 4.7716E-05 4.3009E-05 3.9143E-05 3.5912E-05 3.3167E-05 3.0813E-05 2.2742E-05 1.8014E-05 1.4915E-05 1.1090E-05 8.8270E-06 5.8441E-06 4.3699E-06 2.9033E-06 2.1738E-06 1.7375E-06 1.4468E-06 1.0841E-06 8.6697E-07 5.7731E-07 4.3298E-07 2.8855E-07 2.1641E-07 1.7309E-07 1.4422E-07 1.0816E-07 8.6545E-08 5.7680E-08 4.3262E-08 2.8840E-08 2.1631E-08 1.7304E-08 1.4417E-08 1.0816E-08 8.6494E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7208E-04 2.6702E-04 5.0655E-04 7.9950E-04 1.1347E-03 1.8973E-03 2.7338E-03 2.9225E-03 3.5968E-03 5.3210E-03 6.9855E-03 1.0770E-02 1.4037E-02 1.6858E-02 1.9374E-02 2.1631E-02 2.3686E-02 2.5568E-02 2.7303E-02 2.8901E-02 3.0387E-02 3.1757E-02 3.3020E-02 3.4197E-02 3.6348E-02 3.8276E-02 4.0021E-02 4.1609E-02 4.3059E-02 4.4384E-02 4.5606E-02 5.0573E-02 5.4230E-02 5.7122E-02 6.1332E-02 6.4376E-02 6.9145E-02 7.1986E-02 7.5334E-02 7.7211E-02 7.8479E-02 7.9392E-02 8.0610E-02 8.1371E-02 8.2487E-02 8.3095E-02 8.3755E-02 8.4110E-02 8.4313E-02 8.4516E-02 8.4719E-02 8.4820E-02 8.5023E-02 8.5125E-02 8.5226E-02 8.5277E-02 8.5277E-02 8.5328E-02 8.5328E-02 8.5378E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.7859E-08 2.9021E-06 1.0222E-05 4.1700E-05 8.2994E-05 1.2733E-04 1.7152E-04 2.1428E-04 2.5517E-04 2.9398E-04 3.3071E-04 3.6536E-04 3.9798E-04 4.2902E-04 4.5839E-04 4.8630E-04 5.3774E-04 5.8491E-04 6.2804E-04 6.6760E-04 7.0362E-04 7.3761E-04 7.6906E-04 8.9893E-04 9.9786E-04 1.0760E-03 1.1937E-03 1.2794E-03 1.4209E-03 1.5097E-03 1.6183E-03 1.6832E-03 1.7279E-03 1.7603E-03 1.8055E-03 1.8354E-03 1.8800E-03 1.9054E-03 1.9328E-03 1.9490E-03 1.9592E-03 1.9658E-03 1.9754E-03 1.9810E-03 1.9891E-03 1.9937E-03 1.9982E-03 2.0008E-03 2.0028E-03 2.0038E-03 2.0048E-03 2.0059E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Tb.mat0000644000276300001750000002174213136054446020332 0ustar solebliss00000000000000Tb 1 65 1.000000 10 4 3 3 3 3 7 3 3 8 81 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.2412E-03 1.2412E-03 1.2580E-03 1.2750E-03 1.2750E-03 1.5000E-03 1.6113E-03 1.6113E-03 1.6877E-03 1.7677E-03 1.7677E-03 1.8649E-03 1.9675E-03 1.9675E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 7.5140E-03 7.5140E-03 8.0000E-03 8.2516E-03 8.2516E-03 8.4767E-03 8.7080E-03 8.7080E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 5.1996E-02 5.1996E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.0106E+01 8.2817E-01 1.0155E+01 9.8787E+00 9.8787E+00 9.8676E+00 9.8559E+00 9.8559E+00 9.6286E+00 9.5149E+00 9.5149E+00 9.4429E+00 9.3671E+00 9.3671E+00 9.2695E+00 9.1625E+00 9.1625E+00 9.1284E+00 8.1280E+00 7.1845E+00 6.3471E+00 5.6309E+00 4.7404E+00 4.7404E+00 4.4941E+00 4.3766E+00 4.3766E+00 4.2744E+00 4.1720E+00 4.1720E+00 3.6593E+00 2.3675E+00 1.6893E+00 9.9469E-01 6.4835E-01 4.5926E-01 4.3198E-01 4.3198E-01 3.4505E-01 2.1580E-01 1.4710E-01 7.1693E-02 4.2667E-02 2.8295E-02 2.0117E-02 1.5026E-02 1.1644E-02 9.2864E-03 7.5786E-03 6.3028E-03 5.3239E-03 4.5559E-03 3.4445E-03 3.0352E-03 2.6947E-03 2.1653E-03 1.9572E-03 1.8749E-03 1.2596E-03 1.1655E-03 1.0064E-03 8.7760E-04 7.7179E-04 6.1037E-04 4.9526E-04 4.7442E-04 4.1009E-04 2.9388E-04 2.2069E-04 1.2425E-04 7.9575E-05 5.5248E-05 4.0621E-05 3.1095E-05 2.4570E-05 1.9901E-05 1.6449E-05 1.3823E-05 1.1777E-05 1.0155E-05 8.8480E-06 7.7756E-06 6.1424E-06 4.9753E-06 4.1114E-06 3.4558E-06 2.9447E-06 2.5392E-06 2.2118E-06 1.2440E-06 7.9613E-07 5.5286E-07 3.1106E-07 1.9905E-07 8.8480E-08 4.9753E-08 2.2118E-08 1.2440E-08 7.9613E-09 5.5286E-09 3.1102E-09 1.9905E-09 8.8480E-10 4.9753E-10 2.2118E-10 1.2440E-10 7.9613E-11 5.5286E-11 3.1102E-11 1.9905E-11 8.8480E-12 4.9753E-12 2.2118E-12 1.2440E-12 7.9613E-13 5.5286E-13 3.1102E-13 1.9905E-13 INCOHERENT SCATTERING CROSS SECTION 5.5134E-03 3.5083E+09 4.7525E-03 7.2944E-03 7.2944E-03 7.3978E-03 7.5028E-03 7.5028E-03 9.1170E-03 9.9052E-03 9.9052E-03 1.0430E-02 1.0978E-02 1.0978E-02 1.1650E-02 1.2361E-02 1.2361E-02 1.2584E-02 1.9337E-02 2.5650E-02 3.1462E-02 3.6718E-02 4.3653E-02 4.3653E-02 4.5699E-02 4.6684E-02 4.6684E-02 4.7564E-02 4.8465E-02 4.8465E-02 5.3164E-02 6.7980E-02 7.8893E-02 9.2345E-02 9.9431E-02 1.0330E-01 1.0379E-01 1.0379E-01 1.0530E-01 1.0640E-01 1.0546E-01 1.0004E-01 9.4050E-02 8.8641E-02 8.3895E-02 7.9737E-02 7.6089E-02 7.2869E-02 6.9988E-02 6.7384E-02 6.5024E-02 6.2879E-02 5.9097E-02 5.7408E-02 5.5830E-02 5.2993E-02 5.1724E-02 5.1193E-02 4.6343E-02 4.5426E-02 4.3725E-02 4.2175E-02 4.0750E-02 3.8216E-02 3.6025E-02 3.5581E-02 3.4112E-02 3.0930E-02 2.8370E-02 2.3675E-02 2.0451E-02 1.8079E-02 1.6248E-02 1.4790E-02 1.3596E-02 1.2596E-02 1.1751E-02 1.1019E-02 1.0383E-02 9.8218E-03 9.3254E-03 8.8783E-03 8.1167E-03 7.4838E-03 6.9533E-03 6.4948E-03 6.1008E-03 5.7559E-03 5.4490E-03 4.3312E-03 3.6142E-03 3.1140E-03 2.4558E-03 2.0386E-03 1.4517E-03 1.1383E-03 8.0674E-04 6.3167E-04 5.2292E-04 4.4789E-04 3.4975E-04 2.8772E-04 2.0095E-04 1.5551E-04 1.0815E-04 8.3478E-05 6.8245E-05 5.7862E-05 4.4600E-05 3.6404E-05 2.5161E-05 1.9341E-05 1.3338E-05 1.0242E-05 8.3402E-06 7.0481E-06 5.4035E-06 4.3994E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.3861E+03 1.9134E+05 8.9306E+03 1.5816E+03 2.2758E+03 3.3613E+03 4.9602E+03 5.8696E+03 5.3050E+03 4.4562E+03 5.1534E+03 4.6286E+03 4.1568E+03 4.4145E+03 3.9149E+03 3.4725E+03 3.6279E+03 3.4983E+03 1.3463E+03 6.6237E+02 3.7741E+02 2.3668E+02 1.3206E+02 3.6101E+02 3.0875E+02 2.8374E+02 3.8802E+02 3.6318E+02 3.3986E+02 3.9295E+02 2.7779E+02 9.5566E+01 4.4107E+01 1.4539E+01 6.5403E+00 3.5013E+00 3.1368E+00 1.7230E+01 1.1781E+01 5.5020E+00 3.0004E+00 9.7877E-01 4.4069E-01 2.3867E-01 1.4577E-01 9.6868E-02 6.8510E-02 5.0826E-02 3.9143E-02 3.1065E-02 2.5271E-02 2.0987E-02 1.5210E-02 1.3209E-02 1.1598E-02 9.1900E-03 8.2758E-03 7.9196E-03 5.3391E-03 4.9583E-03 4.3216E-03 3.8120E-03 3.3964E-03 2.7646E-03 2.3126E-03 2.2304E-03 1.9768E-03 1.5158E-03 1.2183E-03 8.0257E-04 5.9113E-04 4.6495E-04 3.8196E-04 3.2334E-04 2.7999E-04 2.4672E-04 2.2038E-04 1.9905E-04 1.8139E-04 1.6661E-04 1.5403E-04 1.4316E-04 1.2546E-04 1.1163E-04 1.0053E-04 9.1398E-05 8.3819E-05 7.7377E-05 7.1845E-05 5.2936E-05 4.1872E-05 3.4645E-05 2.5744E-05 2.0481E-05 1.3550E-05 1.0125E-05 6.7260E-06 5.0360E-06 4.0242E-06 3.3497E-06 2.5100E-06 2.0068E-06 1.3369E-06 1.0023E-06 6.6805E-07 5.0094E-07 4.0053E-07 3.3384E-07 2.5036E-07 2.0026E-07 1.3350E-07 1.0011E-07 6.6729E-08 5.0056E-08 4.0053E-08 3.3372E-08 2.5028E-08 2.0023E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.6199E-04 4.0748E-04 7.7284E-04 1.2122E-03 1.7011E-03 2.7643E-03 3.8840E-03 4.1341E-03 5.0164E-03 7.2048E-03 9.2572E-03 1.3835E-02 1.7734E-02 2.1084E-02 2.4047E-02 2.6707E-02 2.9124E-02 3.1341E-02 3.3391E-02 3.5293E-02 3.7074E-02 3.8727E-02 4.0242E-02 4.1682E-02 4.4259E-02 4.6532E-02 4.8617E-02 5.0511E-02 5.2254E-02 5.3846E-02 5.5286E-02 6.1273E-02 6.5706E-02 6.9117E-02 7.4194E-02 7.7794E-02 8.3478E-02 8.6888E-02 9.0829E-02 9.3065E-02 9.4581E-02 9.5642E-02 9.7044E-02 9.7953E-02 9.9279E-02 9.9999E-02 1.0076E-01 1.0117E-01 1.0144E-01 1.0163E-01 1.0186E-01 1.0201E-01 1.0223E-01 1.0235E-01 1.0246E-01 1.0254E-01 1.0258E-01 1.0258E-01 1.0261E-01 1.0265E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5005E-08 2.8163E-06 9.9166E-06 4.0432E-05 8.0447E-05 1.2338E-04 1.6608E-04 2.0743E-04 2.4691E-04 2.8435E-04 3.1978E-04 3.5312E-04 3.8461E-04 4.1417E-04 4.4259E-04 4.6949E-04 5.1875E-04 5.6385E-04 6.0515E-04 6.4266E-04 6.7752E-04 7.0973E-04 7.3967E-04 8.6320E-04 9.5642E-04 1.0299E-03 1.1406E-03 1.2205E-03 1.3520E-03 1.4339E-03 1.5339E-03 1.5938E-03 1.6347E-03 1.6646E-03 1.7059E-03 1.7332E-03 1.7741E-03 1.7976E-03 1.8230E-03 1.8382E-03 1.8473E-03 1.8537E-03 1.8624E-03 1.8677E-03 1.8753E-03 1.8795E-03 1.8837E-03 1.8863E-03 1.8882E-03 1.8890E-03 1.8901E-03 1.8909E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Tm.mat0000644000276300001750000002163213136054446020343 0ustar solebliss00000000000000Tm 1 69 1.000000 10 4 3 3 3 3 7 3 3 7 81 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.4677E-03 1.4677E-03 1.5000E-03 1.5146E-03 1.5146E-03 1.6895E-03 1.8845E-03 1.8845E-03 2.0000E-03 2.0898E-03 2.0898E-03 2.1956E-03 2.3068E-03 2.3068E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 8.6480E-03 8.6480E-03 9.1196E-03 9.6169E-03 9.6169E-03 1.0000E-02 1.0116E-02 1.0116E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 5.9390E-02 5.9390E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.0780E+01 5.7308E+01 1.1925E+01 1.0352E+01 1.0352E+01 1.0320E+01 1.0306E+01 1.0306E+01 1.0137E+01 9.9457E+00 9.9457E+00 9.8281E+00 9.7354E+00 9.7354E+00 9.6269E+00 9.5144E+00 9.5144E+00 8.8335E+00 7.8675E+00 6.9870E+00 6.2170E+00 4.9800E+00 4.6520E+00 4.6520E+00 4.4327E+00 4.2171E+00 4.2171E+00 4.0603E+00 4.0139E+00 4.0139E+00 2.6169E+00 1.8548E+00 1.0955E+00 7.1688E-01 5.0691E-01 3.8642E-01 3.8642E-01 3.8036E-01 2.3856E-01 1.6312E-01 7.9602E-02 4.7376E-02 3.1474E-02 2.2419E-02 1.6766E-02 1.3004E-02 1.0379E-02 8.4735E-03 7.0474E-03 5.9532E-03 5.0958E-03 3.8560E-03 3.3990E-03 3.0184E-03 2.4262E-03 2.1934E-03 2.1014E-03 1.4127E-03 1.3072E-03 1.1287E-03 9.8459E-04 8.6672E-04 6.8651E-04 5.5611E-04 5.3222E-04 4.5914E-04 3.2924E-04 2.4782E-04 1.3956E-04 8.9369E-05 6.2063E-05 4.5629E-05 3.4928E-05 2.7599E-05 2.2355E-05 1.8476E-05 1.5525E-05 1.3229E-05 1.1407E-05 9.9386E-06 8.7337E-06 6.9014E-06 5.5896E-06 4.6200E-06 3.8820E-06 3.3078E-06 2.8522E-06 2.4847E-06 1.3978E-06 8.9440E-07 6.2099E-07 3.4938E-07 2.2362E-07 9.9386E-08 5.5896E-08 2.4847E-08 1.3974E-08 8.9440E-09 6.2099E-09 3.4938E-09 2.2362E-09 9.9386E-10 5.5896E-10 2.4847E-10 1.3974E-10 8.9440E-11 6.2099E-11 3.4938E-11 2.2362E-11 9.9386E-12 5.5896E-12 2.4847E-12 1.3974E-12 8.9440E-13 6.2099E-13 3.4938E-13 2.2362E-13 INCOHERENT SCATTERING CROSS SECTION 4.9158E-03 1.1283E-03 2.1254E-03 7.9388E-03 7.9388E-03 8.1491E-03 8.2418E-03 8.2418E-03 9.3527E-03 1.0598E-02 1.0598E-02 1.1336E-02 1.1910E-02 1.1910E-02 1.2585E-02 1.3293E-02 1.3293E-02 1.7685E-02 2.3663E-02 2.9188E-02 3.4222E-02 4.2956E-02 4.5451E-02 4.5451E-02 4.7187E-02 4.8980E-02 4.8980E-02 5.0335E-02 5.0727E-02 5.0727E-02 6.4986E-02 7.6001E-02 9.0046E-02 9.7604E-02 1.0174E-01 1.0384E-01 1.0384E-01 1.0395E-01 1.0527E-01 1.0452E-01 9.9422E-02 9.3611E-02 8.8289E-02 8.3594E-02 7.9477E-02 7.5859E-02 7.2658E-02 6.9798E-02 6.7221E-02 6.4879E-02 6.2739E-02 5.8962E-02 5.7286E-02 5.5730E-02 5.2924E-02 5.1654E-02 5.1119E-02 4.6271E-02 4.5355E-02 4.3653E-02 4.2100E-02 4.0674E-02 3.8144E-02 3.5969E-02 3.5530E-02 3.4071E-02 3.0892E-02 2.8329E-02 2.3642E-02 2.0419E-02 1.8052E-02 1.6227E-02 1.4769E-02 1.3578E-02 1.2580E-02 1.1735E-02 1.1004E-02 1.0366E-02 9.8067E-03 9.3112E-03 8.8692E-03 8.1063E-03 7.4753E-03 6.9406E-03 6.4879E-03 6.0922E-03 5.7464E-03 5.4399E-03 4.3241E-03 3.6111E-03 3.1099E-03 2.4526E-03 2.0358E-03 1.4498E-03 1.1368E-03 8.0564E-04 6.3097E-04 5.2224E-04 4.4738E-04 3.4928E-04 2.8736E-04 2.0066E-04 1.5532E-04 1.0798E-04 8.3345E-05 6.8159E-05 5.7785E-05 4.4524E-05 3.6361E-05 2.5125E-05 1.9318E-05 1.3322E-05 1.0227E-05 8.3273E-06 7.0404E-06 5.3971E-06 4.3918E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.8882E+03 2.7501E+05 1.1384E+04 1.3521E+03 1.8448E+03 3.9248E+03 4.1351E+03 4.8196E+03 4.1996E+03 3.6575E+03 4.2421E+03 3.6753E+03 3.3167E+03 3.5241E+03 3.1483E+03 2.8126E+03 2.9363E+03 1.5849E+03 7.8675E+02 4.4988E+02 2.8294E+02 1.3464E+02 1.0987E+02 2.9445E+02 2.5634E+02 2.2316E+02 3.0589E+02 2.7894E+02 2.7042E+02 3.1263E+02 1.1300E+02 5.2581E+01 1.7500E+01 7.9209E+00 4.2599E+00 2.6319E+00 1.4131E+01 1.3603E+01 6.3988E+00 3.5127E+00 1.1614E+00 5.2723E-01 2.8713E-01 1.7621E-01 1.1749E-01 8.3309E-02 6.1944E-02 4.7804E-02 3.8009E-02 3.0971E-02 2.5756E-02 1.8698E-02 1.6245E-02 1.4265E-02 1.1307E-02 1.0188E-02 9.7532E-03 6.5735E-03 6.1035E-03 5.3188E-03 4.6913E-03 4.1791E-03 3.4002E-03 2.8433E-03 2.7420E-03 2.4297E-03 1.8615E-03 1.4947E-03 9.8317E-04 7.2329E-04 5.6823E-04 4.6627E-04 3.9462E-04 3.4165E-04 3.0090E-04 2.6868E-04 2.4258E-04 2.2105E-04 2.0298E-04 1.8758E-04 1.7435E-04 1.5275E-04 1.3585E-04 1.2231E-04 1.1122E-04 1.0195E-04 9.4110E-05 8.7373E-05 6.4344E-05 5.0905E-05 4.2100E-05 3.1270E-05 2.4871E-05 1.6455E-05 1.2295E-05 8.1634E-06 6.1100E-06 4.8838E-06 4.0674E-06 3.0468E-06 2.4358E-06 1.6227E-06 1.2167E-06 8.1063E-07 6.0780E-07 4.8624E-07 4.0532E-07 3.0386E-07 2.4308E-07 1.6206E-07 1.2152E-07 8.1028E-08 6.0744E-08 4.8624E-08 4.0496E-08 3.0379E-08 2.4301E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9017E-04 4.5215E-04 8.5922E-04 1.3475E-03 1.8875E-03 3.0481E-03 4.2528E-03 4.5201E-03 5.4605E-03 7.7793E-03 9.9422E-03 1.4733E-02 1.8786E-02 2.2273E-02 2.5353E-02 2.8115E-02 3.0629E-02 3.2935E-02 3.5067E-02 3.7038E-02 3.8892E-02 4.0638E-02 4.2207E-02 4.3704E-02 4.6413E-02 4.8802E-02 5.0976E-02 5.2973E-02 5.4755E-02 5.6430E-02 5.7963E-02 6.4202E-02 6.8836E-02 7.2436E-02 7.7748E-02 8.1491E-02 8.7408E-02 9.0902E-02 9.5001E-02 9.7319E-02 9.8851E-02 9.9957E-02 1.0142E-01 1.0234E-01 1.0370E-01 1.0445E-01 1.0523E-01 1.0566E-01 1.0595E-01 1.0612E-01 1.0637E-01 1.0652E-01 1.0677E-01 1.0687E-01 1.0698E-01 1.0705E-01 1.0709E-01 1.0712E-01 1.0716E-01 1.0716E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4885E-08 2.8120E-06 9.8994E-06 4.0353E-05 8.0315E-05 1.2316E-04 1.6576E-04 2.0697E-04 2.4633E-04 2.8369E-04 3.1898E-04 3.5224E-04 3.8357E-04 4.1316E-04 4.4132E-04 4.6806E-04 5.1725E-04 5.6217E-04 6.0316E-04 6.4059E-04 6.7517E-04 7.0725E-04 7.3684E-04 8.5947E-04 9.5180E-04 1.0245E-03 1.1332E-03 1.2117E-03 1.3407E-03 1.4209E-03 1.5182E-03 1.5760E-03 1.6156E-03 1.6444E-03 1.6844E-03 1.7107E-03 1.7500E-03 1.7721E-03 1.7967E-03 1.8109E-03 1.8198E-03 1.8259E-03 1.8341E-03 1.8391E-03 1.8462E-03 1.8505E-03 1.8544E-03 1.8569E-03 1.8583E-03 1.8594E-03 1.8601E-03 1.8612E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/As.mat0000644000276300001750000001774013136054446020333 0ustar solebliss00000000000000As 1 33 1.000000 5 4 3 3 9 86 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.3231E-03 1.3231E-03 1.3407E-03 1.3586E-03 1.3586E-03 1.5000E-03 1.5265E-03 1.5265E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.1867E-02 1.1867E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 5.5092E+00 9.0656E+01 6.3818E+00 5.3147E+00 5.3147E+00 5.3032E+00 5.2914E+00 5.2914E+00 5.1949E+00 5.1772E+00 5.1772E+00 4.8533E+00 4.2095E+00 3.6653E+00 3.2063E+00 2.8117E+00 2.1759E+00 1.7097E+00 1.3970E+00 1.3970E+00 1.0337E+00 7.0693E-01 3.9844E-01 2.5319E-01 1.7482E-01 1.2845E-01 7.8410E-02 5.3002E-02 2.5327E-02 1.4742E-02 9.6287E-03 6.7776E-03 5.0266E-03 3.8743E-03 3.0758E-03 2.5006E-03 2.0728E-03 1.7458E-03 1.4902E-03 1.1220E-03 9.8706E-04 8.7511E-04 7.0164E-04 6.3363E-04 6.0678E-04 4.0624E-04 3.7567E-04 3.2405E-04 2.8237E-04 2.4823E-04 1.9619E-04 1.5899E-04 1.5224E-04 1.3146E-04 9.4143E-05 7.0710E-05 3.9788E-05 2.5464E-05 1.7683E-05 1.2997E-05 9.9509E-06 7.8611E-06 6.3676E-06 5.2624E-06 4.4217E-06 3.7674E-06 3.2489E-06 2.8302E-06 2.4869E-06 1.9653E-06 1.5923E-06 1.3158E-06 1.1052E-06 9.4204E-07 8.1183E-07 7.0750E-07 3.9796E-07 2.5472E-07 1.7683E-07 9.9509E-08 6.3668E-08 2.8302E-08 1.5915E-08 7.0750E-09 3.9796E-09 2.5472E-09 1.7683E-09 9.9509E-10 6.3668E-10 2.8302E-10 1.5915E-10 7.0750E-11 3.9796E-11 2.5472E-11 1.7683E-11 9.9509E-12 6.3668E-12 2.8302E-12 1.5915E-12 7.0750E-13 3.9796E-13 2.5472E-13 1.7683E-13 9.9509E-14 6.3668E-14 INCOHERENT SCATTERING CROSS SECTION 5.8106E-03 2.9221E-02 2.1823E-03 9.0668E-03 9.0668E-03 9.2505E-03 9.4365E-03 9.4365E-03 1.0899E-02 1.1173E-02 1.1173E-02 1.6044E-02 2.5609E-02 3.4041E-02 4.1516E-02 4.8292E-02 6.0228E-02 7.0356E-02 7.8370E-02 7.8370E-02 8.9382E-02 1.0168E-01 1.1526E-01 1.2153E-01 1.2419E-01 1.2491E-01 1.2354E-01 1.2065E-01 1.1229E-01 1.0457E-01 9.7890E-02 9.2195E-02 8.7329E-02 8.3112E-02 7.9411E-02 7.6135E-02 7.3213E-02 7.0581E-02 6.8189E-02 6.3990E-02 6.2133E-02 6.0411E-02 5.7317E-02 5.5920E-02 5.5333E-02 5.0044E-02 4.9047E-02 4.7193E-02 4.5503E-02 4.3951E-02 4.1203E-02 3.8847E-02 3.8373E-02 3.6795E-02 3.3353E-02 3.0576E-02 2.5504E-02 2.2032E-02 1.9476E-02 1.7507E-02 1.5931E-02 1.4645E-02 1.3568E-02 1.2652E-02 1.1872E-02 1.1181E-02 1.0578E-02 1.0039E-02 9.5651E-03 8.7372E-03 8.0620E-03 7.4865E-03 6.9962E-03 6.5694E-03 6.1972E-03 5.8685E-03 4.6628E-03 3.8928E-03 3.3534E-03 2.6453E-03 2.1952E-03 1.5634E-03 1.2258E-03 8.6890E-04 6.8041E-04 5.6330E-04 4.8228E-04 3.7666E-04 3.0986E-04 2.1638E-04 1.6751E-04 1.1647E-04 8.9864E-05 7.3499E-05 6.2326E-05 4.8019E-05 3.9209E-05 2.7096E-05 2.0834E-05 1.4364E-05 1.1028E-05 8.9784E-06 7.5918E-06 5.8211E-06 4.7359E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.1156E+03 5.0613E+05 1.1004E+04 1.0867E+03 4.5270E+03 4.4841E+03 4.4410E+03 6.0775E+03 5.2206E+03 4.9924E+03 5.6482E+03 2.9266E+03 1.0449E+03 4.8838E+02 2.6766E+02 1.6277E+02 7.3491E+01 3.9370E+01 2.4299E+01 1.7780E+02 9.7420E+01 4.4836E+01 1.4541E+01 6.3861E+00 3.3357E+00 1.9500E+00 8.2791E-01 4.2344E-01 1.2467E-01 5.2544E-02 2.7149E-02 1.6003E-02 1.0342E-02 7.1513E-03 5.2083E-03 3.9539E-03 3.1038E-03 2.5006E-03 2.0569E-03 1.4726E-03 1.2788E-03 1.1269E-03 8.9310E-04 7.9591E-04 7.5645E-04 5.1105E-04 4.7621E-04 4.1637E-04 3.6773E-04 3.2812E-04 2.6825E-04 2.2570E-04 2.1799E-04 1.9408E-04 1.5017E-04 1.2161E-04 8.1504E-05 6.0775E-05 4.8268E-05 3.9948E-05 3.4033E-05 2.9620E-05 2.6204E-05 2.3487E-05 2.1276E-05 1.9444E-05 1.7900E-05 1.6582E-05 1.5441E-05 1.3576E-05 1.2105E-05 1.0924E-05 9.9509E-06 9.1391E-06 8.4479E-06 7.8522E-06 5.8082E-06 4.6073E-06 3.8180E-06 2.8430E-06 2.2651E-06 1.5015E-06 1.1229E-06 7.4632E-07 5.5888E-07 4.4675E-07 3.7208E-07 2.7884E-07 2.2297E-07 1.4854E-07 1.1141E-07 7.4238E-08 5.5671E-08 4.4538E-08 3.7111E-08 2.7827E-08 2.2265E-08 1.4838E-08 1.1133E-08 7.4206E-09 5.5655E-09 4.4522E-09 3.7103E-09 2.7827E-09 2.2257E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3079E-05 1.4642E-04 2.8466E-04 4.5921E-04 6.6485E-04 1.1491E-03 1.6944E-03 1.8182E-03 2.2656E-03 3.4423E-03 4.6073E-03 7.2944E-03 9.6616E-03 1.1735E-02 1.3592E-02 1.5264E-02 1.6783E-02 1.8158E-02 1.9412E-02 2.0561E-02 2.1614E-02 2.2595E-02 2.3511E-02 2.4371E-02 2.5938E-02 2.7337E-02 2.8615E-02 2.9772E-02 3.0825E-02 3.1798E-02 3.2698E-02 3.6347E-02 3.9072E-02 4.1194E-02 4.4345E-02 4.6580E-02 5.0141E-02 5.2263E-02 5.4738E-02 5.6161E-02 5.7093E-02 5.7760E-02 5.8653E-02 5.9231E-02 6.0067E-02 6.0526E-02 6.1016E-02 6.1281E-02 6.1442E-02 6.1562E-02 6.1715E-02 6.1804E-02 6.1940E-02 6.2013E-02 6.2085E-02 6.2125E-02 6.2149E-02 6.2165E-02 6.2189E-02 6.2197E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0235E-07 3.0364E-06 1.0698E-05 4.3670E-05 8.6970E-05 1.3351E-04 1.7989E-04 2.2482E-04 2.6790E-04 3.0882E-04 3.4756E-04 3.8413E-04 4.1861E-04 4.5149E-04 4.8260E-04 5.1226E-04 5.6716E-04 6.1723E-04 6.6313E-04 7.0533E-04 7.4439E-04 7.8072E-04 8.1424E-04 9.5490E-04 1.0618E-03 1.1470E-03 1.2764E-03 1.3705E-03 1.5272E-03 1.6253E-03 1.7466E-03 1.8198E-03 1.8696E-03 1.9066E-03 1.9572E-03 1.9910E-03 2.0408E-03 2.0698E-03 2.1003E-03 2.1188E-03 2.1300E-03 2.1373E-03 2.1477E-03 2.1550E-03 2.1638E-03 2.1686E-03 2.1735E-03 2.1767E-03 2.1791E-03 2.1799E-03 2.1815E-03 2.1823E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Pu.mat0000644000276300001750000002266213136054446020353 0ustar solebliss00000000000000Pu 1 94 1.000000 13 4 3 3 4 3 3 3 3 6 3 3 8 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.1148E-03 1.1148E-03 1.2368E-03 1.3721E-03 1.3721E-03 1.5000E-03 1.5586E-03 1.5586E-03 2.0000E-03 3.0000E-03 3.7781E-03 3.7781E-03 3.8741E-03 3.9726E-03 3.9726E-03 4.0000E-03 4.5566E-03 4.5566E-03 5.0000E-03 5.5412E-03 5.5412E-03 5.7337E-03 5.9329E-03 5.9329E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.8057E-02 1.8057E-02 2.0000E-02 2.2266E-02 2.2266E-02 2.2678E-02 2.3097E-02 2.3097E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.2182E-01 1.2182E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.4153E+01 9.0638E+01 1.5714E+01 1.4019E+01 1.4019E+01 1.3879E+01 1.3714E+01 1.3714E+01 1.3548E+01 1.3473E+01 1.3473E+01 1.2898E+01 1.1583E+01 1.0613E+01 1.0613E+01 1.0500E+01 1.0384E+01 1.0384E+01 1.0351E+01 9.7316E+00 9.7316E+00 9.2706E+00 8.7491E+00 8.7491E+00 8.5744E+00 8.3989E+00 8.3989E+00 8.3410E+00 6.8597E+00 5.7412E+00 3.9098E+00 3.1842E+00 3.1842E+00 2.8240E+00 2.4751E+00 2.4751E+00 2.4186E+00 2.3630E+00 2.3630E+00 1.6657E+00 1.1193E+00 8.0891E-01 6.0964E-01 3.8291E-01 2.6577E-01 1.9073E-01 1.9073E-01 1.3326E-01 7.9883E-02 5.3424E-02 3.8367E-02 2.8936E-02 2.2612E-02 1.8155E-02 1.4896E-02 1.2442E-02 1.0548E-02 9.0555E-03 6.8848E-03 6.0813E-03 5.4108E-03 4.3636E-03 3.9501E-03 3.7863E-03 2.5570E-03 2.3684E-03 2.0488E-03 1.7899E-03 1.5770E-03 1.2509E-03 1.0160E-03 9.7316E-04 8.4135E-04 6.0434E-04 4.5496E-04 2.5670E-04 1.6460E-04 1.1440E-04 8.4090E-05 6.4415E-05 5.0912E-05 4.1239E-05 3.4084E-05 2.8643E-05 2.4411E-05 2.1050E-05 1.8337E-05 1.6118E-05 1.2737E-05 1.0316E-05 8.5274E-06 7.1645E-06 6.1040E-06 5.2651E-06 4.5849E-06 2.5796E-06 1.6511E-06 1.1465E-06 6.4491E-07 4.1264E-07 1.8345E-07 1.0319E-07 4.5849E-08 2.5796E-08 1.6511E-08 1.1465E-08 6.4491E-09 4.1264E-09 1.8345E-09 1.0319E-09 4.5849E-10 2.5796E-10 1.6511E-10 1.1465E-10 6.4491E-11 4.1264E-11 1.8345E-11 1.0319E-11 4.5849E-12 2.5796E-12 1.6511E-12 1.1465E-12 6.4491E-13 4.1264E-13 INCOHERENT SCATTERING CROSS SECTION 4.4388E-03 2.5124E+03 2.7748E-03 5.1139E-03 5.1139E-03 5.8138E-03 6.5851E-03 6.5851E-03 7.3283E-03 7.6684E-03 7.6684E-03 1.0213E-02 1.5767E-02 1.9788E-02 1.9788E-02 2.0262E-02 2.0748E-02 2.0748E-02 2.0884E-02 2.3537E-02 2.3537E-02 2.5544E-02 2.7887E-02 2.7887E-02 2.8682E-02 2.9500E-02 2.9500E-02 2.9777E-02 3.7284E-02 4.3884E-02 5.7336E-02 6.3533E-02 6.3533E-02 6.6884E-02 7.0335E-02 7.0335E-02 7.0905E-02 7.1469E-02 7.1469E-02 7.9203E-02 8.6760E-02 9.1446E-02 9.4242E-02 9.6484E-02 9.6459E-02 9.5300E-02 9.5300E-02 9.2957E-02 8.8196E-02 8.3530E-02 7.9304E-02 7.5564E-02 7.2250E-02 6.9294E-02 6.6632E-02 6.4217E-02 6.2022E-02 6.0021E-02 5.6479E-02 5.4893E-02 5.3409E-02 5.0730E-02 4.9527E-02 4.9023E-02 4.4413E-02 4.3543E-02 4.1929E-02 4.0458E-02 3.9106E-02 3.6692E-02 3.4588E-02 3.4160E-02 3.2745E-02 2.9702E-02 2.7257E-02 2.2748E-02 1.9652E-02 1.7375E-02 1.5619E-02 1.4216E-02 1.3069E-02 1.2110E-02 1.1293E-02 1.0593E-02 9.9784E-03 9.4419E-03 8.9632E-03 8.5375E-03 7.8019E-03 7.1948E-03 6.6834E-03 6.2450E-03 5.8646E-03 5.5321E-03 5.2374E-03 4.1617E-03 3.4739E-03 2.9953E-03 2.3612E-03 1.9599E-03 1.3956E-03 1.0943E-03 7.7565E-04 6.0737E-04 5.0283E-04 4.3053E-04 3.3631E-04 2.7661E-04 1.9320E-04 1.4954E-04 1.0397E-04 8.0261E-05 6.5624E-05 5.5649E-05 4.2876E-05 3.4991E-05 2.4189E-05 1.8597E-05 1.2825E-05 9.8449E-06 8.0185E-06 6.7766E-06 5.1971E-06 4.2272E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 7.1796E+03 4.2237E+05 2.4483E+04 5.9251E+03 6.3030E+03 5.1776E+03 4.2524E+03 4.3103E+03 3.6075E+03 3.3404E+03 3.4034E+03 2.0237E+03 8.2780E+02 4.8796E+02 1.1702E+03 1.0935E+03 1.0220E+03 1.3858E+03 1.4160E+03 1.0336E+03 1.2047E+03 9.5552E+02 7.3434E+02 7.7918E+02 7.1618E+02 6.5826E+02 6.8647E+02 6.6758E+02 3.2825E+02 1.8773E+02 6.6682E+01 4.1289E+01 9.7870E+01 7.4190E+01 5.5497E+01 7.9152E+01 7.5445E+01 7.1922E+01 8.2956E+01 4.2776E+01 2.0267E+01 1.1273E+01 6.9479E+00 3.2195E+00 1.7664E+00 1.0382E+00 4.3027E+00 2.5418E+00 1.2228E+00 6.9349E-01 4.3884E-01 3.0026E-01 2.1756E-01 1.6464E-01 1.2893E-01 1.0378E-01 8.5450E-02 7.1691E-02 5.2722E-02 4.6000E-02 4.0514E-02 3.2263E-02 2.9147E-02 2.7938E-02 1.8881E-02 1.7519E-02 1.5242E-02 1.3425E-02 1.1948E-02 9.7093E-03 8.1067E-03 7.8145E-03 6.9128E-03 5.2746E-03 4.2196E-03 2.7535E-03 2.0116E-03 1.5727E-03 1.2853E-03 1.0840E-03 9.3562E-04 8.2226E-04 7.3258E-04 6.6028E-04 6.0082E-04 5.5094E-04 5.0862E-04 4.7209E-04 4.1289E-04 3.6679E-04 3.2976E-04 2.9953E-04 2.7434E-04 2.5292E-04 2.3471E-04 1.7239E-04 1.3616E-04 1.1251E-04 8.3460E-05 6.6330E-05 4.3834E-05 3.2724E-05 2.1725E-05 1.6256E-05 1.2989E-05 1.0815E-05 8.1017E-06 6.4768E-06 4.3128E-06 3.2346E-06 2.1552E-06 1.6158E-06 1.2926E-06 1.0769E-06 8.0765E-07 6.4617E-07 4.3078E-07 3.2296E-07 2.1534E-07 1.6150E-07 1.2918E-07 1.0767E-07 8.0739E-08 6.4592E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.6781E-04 7.4710E-04 1.4661E-03 2.3267E-03 3.2439E-03 5.0593E-03 6.7816E-03 7.1544E-03 8.4320E-03 1.1386E-02 1.3971E-02 1.9481E-02 2.4076E-02 2.7988E-02 3.1490E-02 3.4639E-02 3.7536E-02 4.0206E-02 4.2700E-02 4.5018E-02 4.7159E-02 4.9199E-02 5.1089E-02 5.2852E-02 5.6077E-02 5.8949E-02 6.1569E-02 6.3962E-02 6.6153E-02 6.8144E-02 6.9983E-02 7.7490E-02 8.3082E-02 8.7415E-02 9.3789E-02 9.8298E-02 1.0538E-01 1.0958E-01 1.1450E-01 1.1729E-01 1.1913E-01 1.2047E-01 1.2221E-01 1.2334E-01 1.2495E-01 1.2586E-01 1.2679E-01 1.2737E-01 1.2770E-01 1.2792E-01 1.2823E-01 1.2843E-01 1.2865E-01 1.2881E-01 1.2893E-01 1.2903E-01 1.2911E-01 1.2913E-01 1.2916E-01 1.2918E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1281E-08 2.7043E-06 9.5174E-06 3.8770E-05 7.7087E-05 1.1812E-04 1.5888E-04 1.9826E-04 2.3582E-04 2.7131E-04 3.0507E-04 3.3656E-04 3.6629E-04 3.9450E-04 4.2095E-04 4.4640E-04 4.9275E-04 5.3507E-04 5.7362E-04 6.0863E-04 6.4113E-04 6.7111E-04 6.9882E-04 8.1294E-04 8.9834E-04 9.6560E-04 1.0659E-03 1.1379E-03 1.2556E-03 1.3284E-03 1.4168E-03 1.4692E-03 1.5050E-03 1.5312E-03 1.5669E-03 1.5909E-03 1.6264E-03 1.6465E-03 1.6682E-03 1.6813E-03 1.6891E-03 1.6946E-03 1.7022E-03 1.7070E-03 1.7133E-03 1.7171E-03 1.7203E-03 1.7229E-03 1.7241E-03 1.7249E-03 1.7259E-03 1.7266E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/H.mat0000644000276300001750000001642013136054446020151 0ustar solebliss00000000000000Hidrogen 1 1 1.000000 1 96 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 3.4683E-01 8.4781E+01 4.9029E-01 2.9784E-01 2.4741E-01 1.6514E-01 1.1238E-01 8.0121E-02 5.9675E-02 3.6601E-02 2.4622E-02 1.1609E-02 6.6857E-03 3.0244E-03 1.7123E-03 1.0993E-03 7.6476E-04 4.3084E-04 2.7597E-04 1.2278E-04 6.9068E-05 4.4207E-05 4.4207E-05 3.0704E-05 1.7273E-05 1.3646E-05 1.1053E-05 9.1358E-06 7.6775E-06 6.5419E-06 4.9131E-06 4.3179E-06 3.8247E-06 3.0618E-06 2.7633E-06 2.6456E-06 1.7685E-06 1.6352E-06 1.4102E-06 1.2284E-06 1.0794E-06 8.5241E-07 6.9068E-07 6.6140E-07 5.7123E-07 4.0896E-07 3.0704E-07 1.7273E-07 1.1053E-07 7.6775E-08 5.6395E-08 4.3179E-08 3.4116E-08 2.7633E-08 2.2841E-08 1.9191E-08 1.6353E-08 1.4100E-08 1.2284E-08 1.0796E-08 8.5319E-09 6.9068E-09 5.7094E-09 4.7977E-09 4.0879E-09 3.5245E-09 3.0704E-09 1.7267E-09 1.1053E-09 7.6715E-10 4.3149E-10 2.7603E-10 1.2272E-10 6.9008E-11 3.0674E-11 1.7255E-11 1.1041E-11 7.6655E-12 4.3131E-12 2.7603E-12 1.2272E-12 6.9008E-13 3.0674E-13 1.7255E-13 1.1041E-13 7.6655E-14 4.3131E-14 2.7603E-14 1.2272E-14 6.9008E-15 3.0674E-15 1.7255E-15 1.1041E-15 7.6655E-16 4.3131E-16 2.7603E-16 INCOHERENT SCATTERING CROSS SECTION 5.0331E-02 6.9800E-02 1.7221E-02 9.8583E-02 1.4805E-01 2.2835E-01 2.7932E-01 3.0991E-01 3.2879E-01 3.4892E-01 3.5806E-01 3.6416E-01 3.6254E-01 3.5394E-01 3.4408E-01 3.3440E-01 3.2526E-01 3.0865E-01 2.9413E-01 2.6498E-01 2.4281E-01 2.2538E-01 2.2538E-01 2.1121E-01 1.8928E-01 1.8054E-01 1.7285E-01 1.6601E-01 1.5988E-01 1.5436E-01 1.4472E-01 1.4047E-01 1.3651E-01 1.2945E-01 1.2631E-01 1.2499E-01 1.1292E-01 1.1065E-01 1.0646E-01 1.0265E-01 9.9143E-02 9.2928E-02 8.7589E-02 8.6514E-02 8.2936E-02 7.5150E-02 6.8888E-02 5.7477E-02 4.9638E-02 4.3872E-02 3.9433E-02 3.5890E-02 3.2992E-02 3.0567E-02 2.8511E-02 2.6737E-02 2.5189E-02 2.3827E-02 2.2620E-02 2.1545E-02 1.9693E-02 1.8157E-02 1.6867E-02 1.5761E-02 1.4799E-02 1.3957E-02 1.3216E-02 1.0504E-02 8.7709E-03 7.5520E-03 5.9580E-03 4.9447E-03 3.5215E-03 2.7609E-03 1.9567E-03 1.5325E-03 1.2684E-03 1.0862E-03 8.4841E-04 6.9784E-04 4.8748E-04 3.7724E-04 2.6229E-04 2.0248E-04 1.6556E-04 1.4041E-04 1.0814E-04 8.8306E-05 6.1002E-05 4.6919E-05 3.2359E-05 2.4843E-05 2.0230E-05 1.7100E-05 1.3114E-05 1.0665E-05 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.8171E+00 2.2770E+04 7.0084E+01 1.7518E+00 6.6379E-01 1.6765E-01 6.2914E-02 2.9318E-02 1.5696E-02 5.8648E-03 2.7233E-03 6.7395E-04 2.4986E-04 6.1659E-05 2.2841E-05 1.0581E-05 5.6491E-06 2.1049E-06 9.8224E-07 2.4950E-07 9.6252E-08 4.6792E-08 4.6792E-08 2.6372E-08 1.1101E-08 7.9307E-09 5.9311E-09 4.6015E-09 3.6792E-09 3.0167E-09 2.1529E-09 1.8629E-09 1.6332E-09 1.2968E-09 1.1716E-09 1.1232E-09 7.7910E-10 7.3002E-10 6.4825E-10 5.8146E-10 5.2483E-10 4.3546E-10 3.7049E-10 3.5872E-10 3.2227E-10 2.5501E-10 2.1055E-10 1.4602E-10 1.1149E-10 9.0098E-11 7.5520E-11 6.5005E-11 5.7034E-11 5.0803E-11 4.5796E-11 4.1685E-11 3.8244E-11 3.5334E-11 3.2831E-11 3.0656E-11 2.7071E-11 2.4239E-11 2.1939E-11 2.0039E-11 1.8444E-11 1.7082E-11 1.5905E-11 1.1836E-11 9.4221E-12 7.8269E-12 5.8474E-12 4.6668E-12 3.1015E-12 2.3224E-12 1.5457E-12 1.1585E-12 9.2608E-13 7.7133E-13 5.7847E-13 4.6268E-13 3.0835E-13 2.3122E-13 1.5415E-13 1.1555E-13 9.2488E-14 7.7074E-14 5.7781E-14 4.6226E-14 3.0817E-14 2.3110E-14 1.5409E-14 1.1555E-14 9.2429E-15 7.7014E-15 5.7775E-15 4.6220E-15 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 4.6633E-06 7.5913E-06 1.5600E-05 2.6199E-05 3.9001E-05 6.9700E-05 1.0504E-04 1.1322E-04 1.4301E-04 2.2216E-04 3.0160E-04 4.9004E-04 6.5841E-04 8.0957E-04 9.4400E-04 1.0659E-03 1.1770E-03 1.2774E-03 1.3694E-03 1.4536E-03 1.5325E-03 1.6060E-03 1.6747E-03 1.7398E-03 1.8593E-03 1.9669E-03 2.0655E-03 2.1557E-03 2.2387E-03 2.3164E-03 2.3887E-03 2.6922E-03 2.9288E-03 3.1218E-03 3.4241E-03 3.6541E-03 4.0514E-03 4.3101E-03 4.6322E-03 4.8270E-03 4.9590E-03 5.0552E-03 5.1860E-03 5.2721E-03 5.3981E-03 5.4686E-03 5.5427E-03 5.5881E-03 5.6144E-03 5.6329E-03 5.6574E-03 5.6730E-03 5.6933E-03 5.7052E-03 5.7160E-03 5.7244E-03 5.7285E-03 5.7309E-03 5.7339E-03 5.7363E-03 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 2.3074E-07 6.8437E-06 2.4108E-05 9.8403E-05 1.9615E-04 3.0124E-04 4.0616E-04 5.0803E-04 6.0583E-04 6.9904E-04 7.8747E-04 8.7111E-04 9.4998E-04 1.0253E-03 1.0970E-03 1.1657E-03 1.2929E-03 1.4094E-03 1.5170E-03 1.6168E-03 1.7100E-03 1.7966E-03 1.8778E-03 2.2220E-03 2.4932E-03 2.7161E-03 3.0686E-03 3.3416E-03 3.8310E-03 4.1679E-03 4.6190E-03 4.9130E-03 5.1233E-03 5.2822E-03 5.5105E-03 5.6670E-03 5.9078E-03 6.0464E-03 6.2017E-03 6.2914E-03 6.3511E-03 6.3929E-03 6.4467E-03 6.4825E-03 6.5303E-03 6.5542E-03 6.5841E-03 6.6020E-03 6.6080E-03 6.6200E-03 6.6259E-03 6.6319E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ag.mat0000644000276300001750000002005013136054446020303 0ustar solebliss00000000000000Ag 1 47 1.000000 5 7 3 3 9 84 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 3.3511E-03 3.3511E-03 3.4363E-03 3.5237E-03 3.5237E-03 3.6620E-03 3.8058E-03 3.8058E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 2.5514E-02 2.5514E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 7.8328E+00 4.4417E+01 8.7597E+00 7.4531E+00 7.0177E+00 6.1132E+00 5.8118E+00 5.8118E+00 5.7397E+00 5.6666E+00 5.6666E+00 5.5529E+00 5.4372E+00 5.4372E+00 5.2847E+00 4.5774E+00 3.9962E+00 3.1420E+00 2.5631E+00 1.6782E+00 1.1646E+00 8.2682E-01 8.2682E-01 6.5431E-01 4.2748E-01 3.0170E-01 2.2343E-01 1.3645E-01 9.2341E-02 4.4808E-02 2.6385E-02 1.7334E-02 1.2243E-02 9.1047E-03 7.0344E-03 5.5970E-03 4.5584E-03 3.7837E-03 3.1906E-03 2.7264E-03 2.0567E-03 1.8105E-03 1.6060E-03 1.2885E-03 1.1640E-03 1.1149E-03 7.4755E-04 6.9142E-04 5.9652E-04 5.1988E-04 4.5711E-04 3.6144E-04 2.9293E-04 2.8048E-04 2.4220E-04 1.7350E-04 1.3036E-04 7.3359E-05 4.6963E-05 3.2621E-05 2.3967E-05 1.8351E-05 1.4499E-05 1.1746E-05 9.7086E-06 8.1566E-06 6.9507E-06 5.9904E-06 5.2200E-06 4.5880E-06 3.6250E-06 2.9366E-06 2.4269E-06 2.0394E-06 1.7374E-06 1.4984E-06 1.3053E-06 7.3415E-07 4.6985E-07 3.2626E-07 1.8351E-07 1.1746E-07 5.2200E-08 2.9360E-08 1.3053E-08 7.3415E-09 4.6980E-09 3.2626E-09 1.8351E-09 1.1746E-09 5.2200E-10 2.9360E-10 1.3053E-10 7.3415E-11 4.6980E-11 3.2626E-11 1.8351E-11 1.1746E-11 5.2200E-12 2.9360E-12 1.3053E-12 7.3415E-13 4.6980E-13 3.2626E-13 1.8351E-13 1.1746E-13 INCOHERENT SCATTERING CROSS SECTION 4.9810E-03 3.8421E-03 1.8630E-03 9.1671E-03 1.3455E-02 2.1729E-02 2.4459E-02 2.4459E-02 2.5109E-02 2.5771E-02 2.5771E-02 2.6808E-02 2.7875E-02 2.7875E-02 2.9299E-02 3.6222E-02 4.2670E-02 5.4238E-02 6.3868E-02 8.1007E-02 9.2173E-02 1.0071E-01 1.0071E-01 1.0563E-01 1.1261E-01 1.1624E-01 1.1791E-01 1.1797E-01 1.1601E-01 1.0892E-01 1.0189E-01 9.5727E-02 9.0387E-02 8.5734E-02 8.1677E-02 7.8123E-02 7.4978E-02 7.2165E-02 6.9618E-02 6.7290E-02 6.3179E-02 6.1356E-02 5.9664E-02 5.6617E-02 5.5237E-02 5.4656E-02 4.9447E-02 4.8465E-02 4.6639E-02 4.4976E-02 4.3452E-02 4.0750E-02 3.8410E-02 3.7936E-02 3.6363E-02 3.2966E-02 3.0237E-02 2.5229E-02 2.1790E-02 1.9261E-02 1.7312E-02 1.5755E-02 1.4488E-02 1.3421E-02 1.2517E-02 1.1741E-02 1.1060E-02 1.0462E-02 9.9319E-03 9.4630E-03 8.6479E-03 7.9723E-03 7.4085E-03 6.9228E-03 6.4985E-03 6.1300E-03 5.8062E-03 4.6131E-03 3.8505E-03 3.3179E-03 2.6167E-03 2.1717E-03 1.5465E-03 1.2126E-03 8.5920E-04 6.7329E-04 5.5717E-04 4.7706E-04 3.7260E-04 3.0656E-04 2.1410E-04 1.6570E-04 1.1523E-04 8.8935E-05 7.2689E-05 6.1635E-05 4.7499E-05 3.8784E-05 2.6803E-05 2.0606E-05 1.4208E-05 1.0909E-05 8.8823E-06 7.5090E-06 5.7559E-06 4.6851E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 7.0288E+03 1.3562E+06 3.4272E+04 2.7831E+03 1.3935E+03 5.0748E+02 3.8287E+02 1.2684E+03 1.1918E+03 1.1199E+03 1.5409E+03 1.4023E+03 1.2762E+03 1.4622E+03 1.2997E+03 7.3415E+02 4.5701E+02 2.1321E+02 1.1663E+02 3.8220E+01 1.7100E+01 8.5976E+00 5.4466E+01 3.5920E+01 1.6654E+01 9.0275E+00 5.4249E+00 2.3962E+00 1.2612E+00 3.8890E-01 1.6894E-01 8.9166E-02 5.3395E-02 3.4927E-02 2.4386E-02 1.7900E-02 1.3672E-02 1.0783E-02 8.7204E-03 7.1974E-03 5.1765E-03 4.4992E-03 3.9648E-03 3.1442E-03 2.8071E-03 2.6708E-03 1.8021E-03 1.6775E-03 1.4643E-03 1.2919E-03 1.1519E-03 9.4010E-04 7.8774E-04 7.5983E-04 6.7405E-04 5.1925E-04 4.1938E-04 2.7864E-04 2.0651E-04 1.6324E-04 1.3460E-04 1.1434E-04 9.9263E-05 8.7651E-05 7.8439E-05 7.0958E-05 6.4761E-05 5.9513E-05 5.5097E-05 5.1262E-05 4.4998E-05 4.0085E-05 3.6138E-05 3.2894E-05 3.0181E-05 2.7881E-05 2.5904E-05 1.9121E-05 1.5152E-05 1.2545E-05 9.3346E-06 7.4308E-06 4.9207E-06 3.6786E-06 2.4442E-06 1.8301E-06 1.4627E-06 1.2182E-06 9.1280E-07 7.2968E-07 4.8627E-07 3.6456E-07 2.4297E-07 1.8222E-07 1.4577E-07 1.2143E-07 9.1057E-08 7.2856E-08 4.8571E-08 3.6423E-08 2.4280E-08 1.8211E-08 1.4571E-08 1.2143E-08 9.1057E-09 7.2856E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.6034E-04 2.4916E-04 4.7402E-04 7.5034E-04 1.0681E-03 1.7961E-03 2.6016E-03 2.7842E-03 3.4378E-03 5.1154E-03 6.7385E-03 1.0434E-02 1.3645E-02 1.6419E-02 1.8892E-02 2.1120E-02 2.3147E-02 2.5000E-02 2.6703E-02 2.8272E-02 2.9723E-02 3.1063E-02 3.2297E-02 3.3458E-02 3.5580E-02 3.7472E-02 3.9192E-02 4.0755E-02 4.2179E-02 4.3479E-02 4.4685E-02 4.9565E-02 5.3182E-02 5.5996E-02 6.0183E-02 6.3142E-02 6.7832E-02 7.0623E-02 7.3917E-02 7.5759E-02 7.6988E-02 7.7881E-02 7.9053E-02 7.9835E-02 8.0952E-02 8.1510E-02 8.2180E-02 8.2515E-02 8.2738E-02 8.2906E-02 8.3073E-02 8.3240E-02 8.3408E-02 8.3520E-02 8.3576E-02 8.3631E-02 8.3687E-02 8.3687E-02 8.3743E-02 8.3743E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0133E-07 3.0043E-06 1.0580E-05 4.3150E-05 8.5920E-05 1.3181E-04 1.7754E-04 2.2181E-04 2.6413E-04 3.0438E-04 3.4245E-04 3.7829E-04 4.1213E-04 4.4434E-04 4.7477E-04 5.0369E-04 5.5728E-04 6.0630E-04 6.5040E-04 6.9172E-04 7.2968E-04 7.6429E-04 7.9723E-04 9.3234E-04 1.0351E-03 1.1166E-03 1.2388E-03 1.3282E-03 1.4761E-03 1.5682E-03 1.6816E-03 1.7491E-03 1.7949E-03 1.8289E-03 1.8753E-03 1.9065E-03 1.9523E-03 1.9780E-03 2.0065E-03 2.0227E-03 2.0327E-03 2.0400E-03 2.0495E-03 2.0556E-03 2.0634E-03 2.0685E-03 2.0729E-03 2.0757E-03 2.0774E-03 2.0785E-03 2.0796E-03 2.0807E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Mo.mat0000644000276300001750000002005013136054446020327 0ustar solebliss00000000000000Mo 1 42 1.000000 5 6 3 3 9 85 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.5202E-03 2.5202E-03 2.5721E-03 2.6251E-03 2.6251E-03 2.7427E-03 2.8655E-03 2.8655E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 2.0000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 6.9423E+00 5.1200E+01 7.9270E+00 6.5406E+00 6.1056E+00 5.6656E+00 5.6656E+00 5.6220E+00 5.5777E+00 5.5777E+00 5.4807E+00 5.3813E+00 5.3813E+00 5.2745E+00 4.5565E+00 3.9652E+00 3.4856E+00 2.7738E+00 2.2672E+00 1.4481E+00 9.8925E-01 9.8925E-01 9.8925E-01 5.5834E-01 3.6363E-01 2.5441E-01 1.8737E-01 1.1424E-01 7.7332E-02 3.7405E-02 2.1932E-02 1.4379E-02 1.0144E-02 7.5350E-03 5.8163E-03 4.6246E-03 3.7643E-03 3.1228E-03 2.6319E-03 2.2480E-03 1.6949E-03 1.4920E-03 1.3236E-03 1.0617E-03 9.5850E-04 9.1769E-04 6.1508E-04 5.6892E-04 4.9079E-04 4.2771E-04 3.7612E-04 2.9747E-04 2.4097E-04 2.3068E-04 1.9909E-04 1.4263E-04 1.0721E-04 6.0322E-05 3.8616E-05 2.6815E-05 1.9703E-05 1.5090E-05 1.1920E-05 9.6540E-06 7.9780E-06 6.7038E-06 5.7139E-06 4.9268E-06 4.2916E-06 3.7718E-06 2.9803E-06 2.4141E-06 1.9955E-06 1.6766E-06 1.4286E-06 1.2315E-06 1.0727E-06 6.0353E-07 3.8629E-07 2.6822E-07 1.5090E-07 9.6540E-08 4.2916E-08 2.4141E-08 1.0727E-08 6.0347E-09 3.8622E-09 2.6822E-09 1.5090E-09 9.6540E-10 4.2916E-10 2.4141E-10 1.0727E-10 6.0347E-11 3.8622E-11 2.6822E-11 1.5090E-11 9.6540E-12 4.2916E-12 2.4141E-12 1.0727E-12 6.0347E-13 3.8622E-13 2.6822E-13 1.5090E-13 9.6540E-14 INCOHERENT SCATTERING CROSS SECTION 6.4276E-03 8.2195E-03 2.6428E-03 1.1217E-02 1.5837E-02 2.0450E-02 2.0450E-02 2.0899E-02 2.1354E-02 2.1354E-02 2.2362E-02 2.3407E-02 2.3407E-02 2.4537E-02 3.2496E-02 3.9821E-02 4.6544E-02 5.8050E-02 6.7164E-02 8.3735E-02 9.5096E-02 9.5096E-02 9.5096E-02 1.0872E-01 1.1556E-01 1.1901E-01 1.2039E-01 1.1995E-01 1.1769E-01 1.1016E-01 1.0288E-01 9.6527E-02 9.1079E-02 8.6389E-02 8.2291E-02 7.8668E-02 7.5449E-02 7.2576E-02 6.9988E-02 6.7637E-02 6.3505E-02 6.1671E-02 5.9967E-02 5.6904E-02 5.5526E-02 5.4949E-02 4.9701E-02 4.8712E-02 4.6875E-02 4.5201E-02 4.3663E-02 4.0936E-02 3.8597E-02 3.8126E-02 3.6559E-02 3.3137E-02 3.0381E-02 2.5353E-02 2.1894E-02 1.9352E-02 1.7394E-02 1.5831E-02 1.4556E-02 1.3483E-02 1.2579E-02 1.1794E-02 1.1110E-02 1.0514E-02 9.9804E-03 9.5034E-03 8.6873E-03 8.0094E-03 7.4382E-03 6.9549E-03 6.5281E-03 6.1590E-03 5.8326E-03 4.6349E-03 3.8685E-03 3.3331E-03 2.6288E-03 2.1819E-03 1.5536E-03 1.2184E-03 8.6371E-04 6.7603E-04 5.5984E-04 4.7931E-04 3.7436E-04 3.0801E-04 2.1511E-04 1.6647E-04 1.1575E-04 8.9321E-05 7.3064E-05 6.1948E-05 4.7724E-05 3.8968E-05 2.6928E-05 2.0701E-05 1.4280E-05 1.0960E-05 8.9259E-06 7.5449E-06 5.7855E-06 4.7071E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 4.9356E+03 1.0562E+06 2.4823E+04 1.9182E+03 9.5347E+02 5.3587E+02 1.9729E+03 1.8551E+03 1.7444E+03 2.4273E+03 2.1787E+03 1.9559E+03 2.2371E+03 2.0061E+03 9.6603E+02 5.4101E+02 3.3362E+02 1.5372E+02 8.3421E+01 2.7004E+01 1.1995E+01 7.8462E+01 7.8462E+01 2.7430E+01 1.2460E+01 6.6662E+00 3.9658E+00 1.7281E+00 9.0075E-01 2.7324E-01 1.1751E-01 6.1557E-02 3.6651E-02 2.3871E-02 1.6609E-02 1.2157E-02 9.2648E-03 7.2946E-03 5.8916E-03 4.8574E-03 3.4880E-03 3.0299E-03 2.6687E-03 2.1151E-03 1.8881E-03 1.7965E-03 1.2127E-03 1.1290E-03 9.8586E-04 8.6999E-04 7.7589E-04 6.3360E-04 5.3179E-04 5.1321E-04 4.5589E-04 3.5167E-04 2.8422E-04 1.8938E-04 1.4060E-04 1.1135E-04 9.1895E-05 7.8148E-05 6.7917E-05 6.0002E-05 5.3725E-05 4.8621E-05 4.4391E-05 4.0832E-05 3.7800E-05 3.5182E-05 3.0895E-05 2.7537E-05 2.4832E-05 2.2610E-05 2.0752E-05 1.9170E-05 1.7814E-05 1.3163E-05 1.0432E-05 8.6371E-06 6.4276E-06 5.1201E-06 3.3921E-06 2.5359E-06 1.6854E-06 1.2617E-06 1.0087E-06 8.3986E-07 6.2958E-07 5.0335E-07 3.3532E-07 2.5146E-07 1.6760E-07 1.2567E-07 1.0049E-07 8.3735E-08 6.2833E-08 5.0247E-08 3.3494E-08 2.5120E-08 1.6747E-08 1.2560E-08 1.0049E-08 8.3735E-09 6.2770E-09 5.0241E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.3401E-04 2.0895E-04 4.0005E-04 6.3711E-04 9.1243E-04 1.5507E-03 2.2610E-03 2.4217E-03 2.9994E-03 4.4995E-03 5.9663E-03 9.3150E-03 1.2234E-02 1.4776E-02 1.7048E-02 1.9088E-02 2.0940E-02 2.2641E-02 2.4191E-02 2.5623E-02 2.6941E-02 2.8152E-02 2.9276E-02 3.0337E-02 3.2257E-02 3.3990E-02 3.5565E-02 3.6990E-02 3.8296E-02 3.9488E-02 4.0587E-02 4.5056E-02 4.8364E-02 5.0944E-02 5.4754E-02 5.7459E-02 6.1766E-02 6.4339E-02 6.7352E-02 6.9110E-02 7.0239E-02 7.1055E-02 7.2122E-02 7.2813E-02 7.3817E-02 7.4382E-02 7.5010E-02 7.5324E-02 7.5512E-02 7.5638E-02 7.5826E-02 7.5951E-02 7.6140E-02 7.6203E-02 7.6328E-02 7.6328E-02 7.6391E-02 7.6391E-02 7.6454E-02 7.6454E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0183E-07 3.0194E-06 1.0633E-05 4.3374E-05 8.6371E-05 1.3251E-04 1.7852E-04 2.2308E-04 2.6570E-04 3.0619E-04 3.4454E-04 3.8070E-04 4.1478E-04 4.4723E-04 4.7799E-04 5.0718E-04 5.6129E-04 6.1050E-04 6.5532E-04 6.9675E-04 7.3503E-04 7.7081E-04 8.0408E-04 9.4092E-04 1.0451E-03 1.1273E-03 1.2523E-03 1.3433E-03 1.4945E-03 1.5900E-03 1.7061E-03 1.7764E-03 1.8247E-03 1.8599E-03 1.9088E-03 1.9415E-03 1.9904E-03 2.0180E-03 2.0482E-03 2.0658E-03 2.0764E-03 2.0846E-03 2.0946E-03 2.1009E-03 2.1097E-03 2.1153E-03 2.1197E-03 2.1229E-03 2.1248E-03 2.1260E-03 2.1273E-03 2.1285E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Nd.mat0000644000276300001750000002150013136054446020316 0ustar solebliss00000000000000Nd 1 60 1.000000 9 4 3 3 3 7 3 3 8 82 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0050E-03 1.0050E-03 1.1419E-03 1.2974E-03 1.2974E-03 1.3491E-03 1.4028E-03 1.4028E-03 1.5000E-03 1.5753E-03 1.5753E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 6.2079E-03 6.2079E-03 6.4596E-03 6.7215E-03 6.7215E-03 6.9208E-03 7.1260E-03 7.1260E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 4.3569E-02 4.3569E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 9.4023E+00 4.0755E-01 5.0290E+00 9.3939E+00 9.3939E+00 9.2363E+00 9.1059E+00 9.1059E+00 9.0544E+00 8.9973E+00 8.9973E+00 8.8929E+00 8.8136E+00 8.8136E+00 8.3752E+00 7.3732E+00 6.4630E+00 5.6823E+00 5.0268E+00 4.9057E+00 4.9057E+00 4.7614E+00 4.6176E+00 4.6176E+00 4.5148E+00 4.4131E+00 4.4131E+00 4.0085E+00 3.2641E+00 2.1301E+00 1.5293E+00 8.9138E-01 5.7992E-01 5.0936E-01 5.0936E-01 4.1187E-01 3.0929E-01 1.9230E-01 1.3064E-01 6.3628E-02 3.7784E-02 2.5003E-02 1.7744E-02 1.3233E-02 1.0246E-02 8.1688E-03 6.6634E-03 5.5361E-03 4.6719E-03 3.9961E-03 3.0207E-03 2.6616E-03 2.3626E-03 1.8976E-03 1.7147E-03 1.6425E-03 1.1026E-03 1.0202E-03 8.8075E-04 7.6780E-04 6.7499E-04 5.3352E-04 4.3296E-04 4.1479E-04 3.5866E-04 2.5699E-04 1.9293E-04 1.0864E-04 6.9557E-05 4.8306E-05 3.5492E-05 2.7176E-05 2.1472E-05 1.7393E-05 1.4375E-05 1.2079E-05 1.0292E-05 8.8762E-06 7.7323E-06 6.7970E-06 5.3692E-06 4.3504E-06 3.5939E-06 3.0198E-06 2.5735E-06 2.2191E-06 1.9331E-06 1.0872E-06 6.9599E-07 4.8306E-07 2.7180E-07 1.7398E-07 7.7323E-08 4.3504E-08 1.9331E-08 1.0872E-08 6.9599E-09 4.8306E-09 2.7180E-09 1.7398E-09 7.7322E-10 4.3504E-10 1.9331E-10 1.0872E-10 6.9599E-11 4.8306E-11 2.7180E-11 1.7398E-11 7.7322E-12 4.3504E-12 1.9331E-12 1.0872E-12 6.9599E-13 4.8306E-13 2.7180E-13 1.7398E-13 INCOHERENT SCATTERING CROSS SECTION 6.3169E-03 2.6032E+25 1.1865E+04 6.3586E-03 6.3586E-03 7.4559E-03 8.6549E-03 8.6549E-03 9.0570E-03 9.4774E-03 9.4774E-03 1.0237E-02 1.0822E-02 1.0822E-02 1.4066E-02 2.1464E-02 2.8299E-02 3.4482E-02 3.9960E-02 4.1020E-02 4.1020E-02 4.2282E-02 4.3546E-02 4.3546E-02 4.4463E-02 4.5383E-02 4.5383E-02 4.9224E-02 5.6990E-02 7.2438E-02 8.3335E-02 9.6277E-02 1.0304E-01 1.0463E-01 1.0463E-01 1.0672E-01 1.0859E-01 1.0943E-01 1.0822E-01 1.0237E-01 9.6110E-02 9.0492E-02 8.5589E-02 8.1315E-02 7.7573E-02 7.4268E-02 7.1310E-02 6.8636E-02 6.6217E-02 6.4025E-02 6.0172E-02 5.8451E-02 5.6843E-02 5.3946E-02 5.2648E-02 5.2105E-02 4.7178E-02 4.6244E-02 4.4506E-02 4.2920E-02 4.1464E-02 3.8879E-02 3.6649E-02 3.6198E-02 3.4702E-02 3.1463E-02 2.8858E-02 2.4082E-02 2.0800E-02 1.8387E-02 1.6525E-02 1.5043E-02 1.3828E-02 1.2813E-02 1.1949E-02 1.1206E-02 1.0559E-02 9.9868E-03 9.4816E-03 9.0307E-03 8.2541E-03 7.6112E-03 7.0684E-03 6.6050E-03 6.2042E-03 5.8535E-03 5.5403E-03 4.4047E-03 3.6762E-03 3.1672E-03 2.4980E-03 2.0733E-03 1.4763E-03 1.1577E-03 8.2040E-04 6.4254E-04 5.3190E-04 4.5550E-04 3.5572E-04 2.9263E-04 2.0437E-04 1.5819E-04 1.0997E-04 8.4879E-05 6.9432E-05 5.8869E-05 4.5341E-05 3.7025E-05 2.5589E-05 1.9673E-05 1.3565E-05 1.0417E-05 8.4838E-06 7.1686E-06 5.4986E-06 4.4715E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.6175E+03 3.7757E-06 1.0916E+01 6.9223E+03 8.5130E+03 7.1015E+03 5.9244E+03 6.8221E+03 6.2559E+03 5.7366E+03 6.0831E+03 5.2648E+03 4.7304E+03 4.9433E+03 2.8700E+03 1.0859E+03 5.3024E+02 3.0044E+02 1.8763E+02 1.7172E+02 4.8431E+02 4.3824E+02 3.9667E+02 5.4109E+02 5.0305E+02 4.6803E+02 5.4026E+02 4.0536E+02 2.2667E+02 7.7030E+01 3.5225E+01 1.1477E+01 5.1270E+00 4.0290E+00 2.3042E+01 1.5978E+01 9.9075E+00 4.5383E+00 2.4487E+00 7.8617E-01 3.5058E-01 1.8851E-01 1.1448E-01 7.5727E-02 5.3357E-02 3.9460E-02 3.0315E-02 2.4016E-02 1.9510E-02 1.6186E-02 1.1707E-02 1.0158E-02 8.9104E-03 7.0537E-03 6.3545E-03 6.0831E-03 4.1003E-03 3.8081E-03 3.3208E-03 2.9309E-03 2.6122E-03 2.1269E-03 1.7798E-03 1.7168E-03 1.5224E-03 1.1688E-03 9.4023E-04 6.2042E-04 4.5759E-04 3.6052E-04 2.9643E-04 2.5121E-04 2.1769E-04 1.9193E-04 1.7151E-04 1.5498E-04 1.4128E-04 1.2980E-04 1.2003E-04 1.1160E-04 9.7864E-05 8.7092E-05 7.8450E-05 7.1352E-05 6.5424E-05 6.0413E-05 5.6113E-05 4.1354E-05 3.2737E-05 2.7084E-05 2.0132E-05 1.6020E-05 1.0605E-05 7.9243E-06 5.2648E-06 3.9400E-06 3.1484E-06 2.6215E-06 1.9644E-06 1.5707E-06 1.0463E-06 7.8450E-07 5.2272E-07 3.9204E-07 3.1359E-07 2.6132E-07 1.9598E-07 1.5677E-07 1.0450E-07 7.8366E-08 5.2230E-08 3.9183E-08 3.1347E-08 2.6123E-08 1.9589E-08 1.5673E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.3184E-04 3.6006E-04 6.8219E-04 1.0713E-03 1.5081E-03 2.4723E-03 3.5021E-03 3.7329E-03 4.5517E-03 6.6075E-03 8.5547E-03 1.2909E-02 1.6650E-02 1.9865E-02 2.2717E-02 2.5276E-02 2.7597E-02 2.9731E-02 3.1701E-02 3.3522E-02 3.5225E-02 3.6799E-02 3.8265E-02 3.9622E-02 4.2085E-02 4.4298E-02 4.6260E-02 4.8097E-02 4.9725E-02 5.1270E-02 5.2648E-02 5.8326E-02 6.2543E-02 6.5841E-02 7.0684E-02 7.4108E-02 7.9577E-02 8.2834E-02 8.6633E-02 8.8846E-02 9.0265E-02 9.1309E-02 9.2687E-02 9.3564E-02 9.4858E-02 9.5568E-02 9.6319E-02 9.6737E-02 9.6987E-02 9.7154E-02 9.7405E-02 9.7530E-02 9.7739E-02 9.7864E-02 9.7989E-02 9.8031E-02 9.8073E-02 9.8114E-02 9.8156E-02 9.8156E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.6674E-08 2.8658E-06 1.0091E-05 4.1145E-05 8.1873E-05 1.2559E-04 1.6909E-04 2.1118E-04 2.5138E-04 2.8958E-04 3.2566E-04 3.5968E-04 3.9171E-04 4.2210E-04 4.5091E-04 4.7846E-04 5.2898E-04 5.7491E-04 6.1708E-04 6.5549E-04 6.9098E-04 7.2396E-04 7.5485E-04 8.8136E-04 9.7697E-04 1.0530E-03 1.1665E-03 1.2492E-03 1.3857E-03 1.4713E-03 1.5757E-03 1.6387E-03 1.6817E-03 1.7130E-03 1.7569E-03 1.7857E-03 1.8291E-03 1.8542E-03 1.8813E-03 1.8976E-03 1.9072E-03 1.9143E-03 1.9235E-03 1.9293E-03 1.9372E-03 1.9422E-03 1.9464E-03 1.9493E-03 1.9510E-03 1.9523E-03 1.9535E-03 1.9544E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Sm.mat0000644000276300001750000002205213136054446020337 0ustar solebliss00000000000000Sm 1 62 1.000000 10 4 3 3 3 3 7 3 3 8 82 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0802E-03 1.0802E-03 1.0930E-03 1.1060E-03 1.1060E-03 1.2531E-03 1.4198E-03 1.4198E-03 1.5000E-03 1.5407E-03 1.5407E-03 1.6292E-03 1.7228E-03 1.7228E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 6.7162E-03 6.7162E-03 7.0077E-03 7.3118E-03 7.3118E-03 7.5213E-03 7.7368E-03 7.7368E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 4.6834E-02 4.6834E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 9.6684E+00 2.4404E+00 9.9721E+00 9.5883E+00 9.5883E+00 9.5763E+00 9.5643E+00 9.5643E+00 9.4252E+00 9.2559E+00 9.2559E+00 9.1718E+00 9.1317E+00 9.1317E+00 9.0413E+00 8.9435E+00 8.9435E+00 8.6631E+00 7.6618E+00 6.7367E+00 5.9316E+00 5.2507E+00 4.8302E+00 4.8302E+00 4.6741E+00 4.5178E+00 4.5178E+00 4.4132E+00 4.3095E+00 4.3095E+00 4.1894E+00 3.4100E+00 2.2164E+00 1.5884E+00 9.3040E-01 6.0518E-01 4.7541E-01 4.7541E-01 4.2935E-01 3.2269E-01 2.0114E-01 1.3682E-01 6.6646E-02 3.9611E-02 2.6236E-02 1.8636E-02 1.3910E-02 1.0774E-02 8.5874E-03 7.0050E-03 5.8240E-03 4.9183E-03 4.2078E-03 3.1802E-03 2.8020E-03 2.4875E-03 1.9984E-03 1.8059E-03 1.7298E-03 1.1619E-03 1.0749E-03 9.2778E-04 8.0904E-04 7.1199E-04 5.6376E-04 4.5659E-04 4.3696E-04 3.7691E-04 2.7018E-04 2.0334E-04 1.1451E-04 7.3294E-05 5.0905E-05 3.7412E-05 2.8645E-05 2.2633E-05 1.8336E-05 1.5151E-05 1.2732E-05 1.0850E-05 9.3560E-06 8.1505E-06 7.1612E-06 5.6593E-06 4.5859E-06 3.7889E-06 3.1837E-06 2.7127E-06 2.3390E-06 2.0374E-06 1.1463E-06 7.3334E-07 5.0945E-07 2.8653E-07 1.8336E-07 8.1505E-08 4.5859E-08 2.0374E-08 1.1459E-08 7.3334E-09 5.0945E-09 2.8653E-09 1.8336E-09 8.1505E-10 4.5859E-10 2.0374E-10 1.1459E-10 7.3334E-11 5.0945E-11 2.8653E-11 1.8336E-11 8.1505E-12 4.5859E-12 2.0374E-12 1.1459E-12 7.3334E-13 5.0945E-13 2.8653E-13 1.8336E-13 INCOHERENT SCATTERING CROSS SECTION 5.9356E-03 1.0830E+00 3.0274E-03 6.5564E-03 6.5564E-03 6.6561E-03 6.7567E-03 6.7567E-03 7.8576E-03 9.0757E-03 9.0757E-03 9.6724E-03 9.9768E-03 9.9768E-03 1.0633E-02 1.1319E-02 1.1319E-02 1.3333E-02 2.0446E-02 2.7031E-02 3.3022E-02 3.8369E-02 4.1854E-02 4.1854E-02 4.3184E-02 4.4537E-02 4.4537E-02 4.5457E-02 4.6380E-02 4.6380E-02 4.7461E-02 5.5111E-02 7.0330E-02 8.1304E-02 9.4481E-02 1.0137E-01 1.0417E-01 1.0417E-01 1.0509E-01 1.0706E-01 1.0798E-01 1.0690E-01 1.0121E-01 9.5082E-02 8.9573E-02 8.4749E-02 8.0529E-02 7.6819E-02 7.3536E-02 7.0611E-02 6.7985E-02 6.5604E-02 6.3429E-02 5.9603E-02 5.7914E-02 5.6351E-02 5.3505E-02 5.2187E-02 5.1626E-02 4.6740E-02 4.5823E-02 4.4107E-02 4.2535E-02 4.1090E-02 3.8527E-02 3.6323E-02 3.5878E-02 3.4401E-02 3.1191E-02 2.8605E-02 2.3871E-02 2.0618E-02 1.8223E-02 1.6381E-02 1.4911E-02 1.3706E-02 1.2700E-02 1.1847E-02 1.1110E-02 1.0465E-02 9.9007E-03 9.4001E-03 8.9515E-03 8.1825E-03 7.5457E-03 7.0090E-03 6.5484E-03 6.1519E-03 5.8035E-03 5.4951E-03 4.3656E-03 3.6439E-03 3.1396E-03 2.4760E-03 2.0550E-03 1.4635E-03 1.1475E-03 8.1344E-04 6.3682E-04 5.2748E-04 4.5138E-04 3.5261E-04 2.9009E-04 2.0258E-04 1.5680E-04 1.0902E-04 8.4148E-05 6.8808E-05 5.8355E-05 4.4938E-05 3.6703E-05 2.5365E-05 1.9501E-05 1.3449E-05 1.0325E-05 8.4068E-06 7.1091E-06 5.4510E-06 4.4337E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.0971E+03 1.4958E+05 7.5768E+03 1.8179E+03 2.5144E+03 3.7402E+03 5.5511E+03 6.7847E+03 5.9704E+03 5.2548E+03 6.0638E+03 5.3469E+03 5.0385E+03 5.3469E+03 4.7271E+03 4.1814E+03 4.3696E+03 3.1116E+03 1.1859E+03 5.8035E+02 3.2966E+02 2.0622E+02 1.5388E+02 4.2855E+02 3.8452E+02 3.4504E+02 4.7101E+02 4.3936E+02 4.0973E+02 4.7341E+02 4.3576E+02 2.4648E+02 8.4028E+01 3.8582E+01 1.2628E+01 5.6553E+00 3.6295E+00 2.0418E+01 1.7210E+01 1.0642E+01 4.9023E+00 2.6578E+00 8.5910E-01 3.8453E-01 2.0733E-01 1.2620E-01 8.3654E-02 5.9036E-02 4.3704E-02 3.3603E-02 2.6640E-02 2.1656E-02 1.7973E-02 1.3011E-02 1.1295E-02 9.9131E-03 7.8509E-03 7.0691E-03 6.7647E-03 4.5619E-03 4.2369E-03 3.6934E-03 3.2586E-03 2.9041E-03 2.3649E-03 1.9781E-03 1.9077E-03 1.6905E-03 1.2970E-03 1.0433E-03 6.8848E-04 5.0745E-04 3.9939E-04 3.2826E-04 2.7808E-04 2.4091E-04 2.1235E-04 1.8972E-04 1.7138E-04 1.5624E-04 1.4354E-04 1.3269E-04 1.2340E-04 1.0814E-04 9.6244E-05 8.6671E-05 7.8821E-05 7.2293E-05 6.6726E-05 6.2000E-05 4.5659E-05 3.6150E-05 2.9906E-05 2.2229E-05 1.7687E-05 1.1703E-05 8.7472E-06 5.8075E-06 4.3496E-06 3.4749E-06 2.8937E-06 2.1680E-06 1.7334E-06 1.1547E-06 8.6591E-07 5.7714E-07 4.3256E-07 3.4608E-07 2.8837E-07 2.1628E-07 1.7302E-07 1.1535E-07 8.6511E-08 5.7674E-08 4.3256E-08 3.4596E-08 2.8829E-08 2.1620E-08 1.7298E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.4319E-04 3.7789E-04 7.1623E-04 1.1242E-03 1.5808E-03 2.5828E-03 3.6455E-03 3.8830E-03 4.7239E-03 6.8295E-03 8.8193E-03 1.3257E-02 1.7054E-02 2.0322E-02 2.3214E-02 2.5809E-02 2.8168E-02 3.0331E-02 3.2330E-02 3.4184E-02 3.5914E-02 3.7516E-02 3.9006E-02 4.0372E-02 4.2895E-02 4.5138E-02 4.7141E-02 4.8983E-02 5.0665E-02 5.2227E-02 5.3629E-02 5.9436E-02 6.3722E-02 6.7046E-02 7.1972E-02 7.5497E-02 8.1024E-02 8.4348E-02 8.8193E-02 9.0396E-02 9.1878E-02 9.2919E-02 9.4281E-02 9.5202E-02 9.6484E-02 9.7205E-02 9.7966E-02 9.8366E-02 9.8647E-02 9.8807E-02 9.9047E-02 9.9207E-02 9.9408E-02 9.9528E-02 9.9648E-02 9.9688E-02 9.9728E-02 9.9768E-02 9.9808E-02 9.9808E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.5834E-08 2.8405E-06 1.0001E-05 4.0772E-05 8.1144E-05 1.2444E-04 1.6754E-04 2.0923E-04 2.4908E-04 2.8689E-04 3.2265E-04 3.5634E-04 3.8802E-04 4.1814E-04 4.4657E-04 4.7381E-04 5.2387E-04 5.6913E-04 6.1078E-04 6.4923E-04 6.8408E-04 7.1692E-04 7.4736E-04 8.7232E-04 9.6684E-04 1.0417E-03 1.1539E-03 1.2352E-03 1.3694E-03 1.4531E-03 1.5552E-03 1.6169E-03 1.6585E-03 1.6894E-03 1.7318E-03 1.7603E-03 1.8027E-03 1.8267E-03 1.8532E-03 1.8684E-03 1.8780E-03 1.8848E-03 1.8936E-03 1.8996E-03 1.9073E-03 1.9117E-03 1.9161E-03 1.9189E-03 1.9205E-03 1.9217E-03 1.9225E-03 1.9237E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Er.mat0000644000276300001750000002174213136054446020333 0ustar solebliss00000000000000Er 1 68 1.000000 10 4 3 3 3 3 7 3 3 8 81 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.4093E-03 1.4093E-03 1.4311E-03 1.4533E-03 1.4533E-03 1.5000E-03 1.8118E-03 1.8118E-03 2.0000E-03 2.0058E-03 2.0058E-03 2.1038E-03 2.2065E-03 2.2065E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 8.3579E-03 8.3579E-03 8.7994E-03 9.2643E-03 9.2643E-03 9.5047E-03 9.7513E-03 9.7513E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 5.7485E-02 5.7485E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.0560E+01 5.8435E+01 1.1716E+01 1.0186E+01 1.0186E+01 1.0164E+01 1.0143E+01 1.0143E+01 1.0096E+01 9.7969E+00 9.7969E+00 9.6060E+00 9.5988E+00 9.5988E+00 9.4913E+00 9.3936E+00 9.3936E+00 8.6123E+00 7.6582E+00 6.7905E+00 6.0380E+00 4.8318E+00 4.6518E+00 4.6518E+00 4.4443E+00 4.2377E+00 4.2377E+00 4.1343E+00 4.0325E+00 4.0325E+00 3.9353E+00 2.5390E+00 1.8028E+00 1.0643E+00 6.9597E-01 4.9218E-01 3.9533E-01 3.9533E-01 3.6941E-01 2.3158E-01 1.5820E-01 7.7158E-02 4.5942E-02 3.0507E-02 2.1718E-02 1.6236E-02 1.2591E-02 1.0046E-02 8.2019E-03 6.8229E-03 5.7643E-03 4.9337E-03 3.7315E-03 3.2887E-03 2.9201E-03 2.3472E-03 2.1221E-03 2.0332E-03 1.3664E-03 1.2643E-03 1.0916E-03 9.5196E-04 8.3737E-04 6.6255E-04 5.3755E-04 5.1487E-04 4.4494E-04 3.1891E-04 2.3961E-04 1.3495E-04 8.6411E-05 6.0020E-05 4.4106E-05 3.3769E-05 2.6683E-05 2.1614E-05 1.7866E-05 1.5010E-05 1.2792E-05 1.1028E-05 9.6060E-06 8.4431E-06 6.6717E-06 5.4043E-06 4.4682E-06 3.7517E-06 3.1979E-06 2.7576E-06 2.4022E-06 1.3513E-06 8.6483E-07 6.0056E-07 3.3780E-07 2.1617E-07 9.6096E-08 5.4043E-08 2.4019E-08 1.3513E-08 8.6483E-09 6.0056E-09 3.3780E-09 2.1617E-09 9.6096E-10 5.4043E-10 2.4019E-10 1.3513E-10 8.6483E-11 6.0056E-11 3.3780E-11 2.1617E-11 9.6096E-12 5.4043E-12 2.4019E-12 1.3513E-12 8.6483E-13 6.0056E-13 3.3780E-13 2.1617E-13 INCOHERENT SCATTERING CROSS SECTION 5.0154E-03 3.7696E-03 2.2270E-03 7.7014E-03 7.7014E-03 7.8443E-03 7.9894E-03 7.9894E-03 8.2955E-03 1.0308E-02 1.0308E-02 1.1529E-02 1.1565E-02 1.1565E-02 1.2189E-02 1.2861E-02 1.2861E-02 1.7945E-02 2.3979E-02 2.9545E-02 3.4604E-02 4.3350E-02 4.4754E-02 4.4754E-02 4.6458E-02 4.8174E-02 4.8174E-02 4.9015E-02 4.9866E-02 4.9866E-02 5.0731E-02 6.5384E-02 7.6330E-02 9.0192E-02 9.7573E-02 1.0161E-01 1.0337E-01 1.0337E-01 1.0377E-01 1.0503E-01 1.0423E-01 9.9085E-02 9.3252E-02 8.7926E-02 8.3243E-02 7.9144E-02 7.5538E-02 7.2342E-02 6.9489E-02 6.6923E-02 6.4592E-02 6.2460E-02 5.8698E-02 5.7031E-02 5.5487E-02 5.2692E-02 5.1415E-02 5.0875E-02 4.6050E-02 4.5142E-02 4.3452E-02 4.1909E-02 4.0493E-02 3.7976E-02 3.5803E-02 3.5364E-02 3.3906E-02 3.0744E-02 2.8199E-02 2.3533E-02 2.0325E-02 1.7970E-02 1.6152E-02 1.4701E-02 1.3513E-02 1.2522E-02 1.1680E-02 1.0953E-02 1.0319E-02 9.7609E-03 9.2676E-03 8.8247E-03 8.0686E-03 7.4386E-03 6.9093E-03 6.4556E-03 6.0632E-03 5.7211E-03 5.4151E-03 4.3026E-03 3.5929E-03 3.0957E-03 2.4415E-03 2.0263E-03 1.4431E-03 1.1313E-03 8.0182E-04 6.2792E-04 5.1991E-04 4.4502E-04 3.4766E-04 2.8602E-04 1.9975E-04 1.5460E-04 1.0751E-04 8.2991E-05 6.7833E-05 5.7535E-05 4.4322E-05 3.6185E-05 2.5009E-05 1.9226E-05 1.3261E-05 1.0179E-05 8.2883E-06 7.0065E-06 5.3719E-06 4.3710E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.7371E+03 2.4899E+05 1.0642E+04 1.3977E+03 2.0292E+03 2.9621E+03 4.3206E+03 4.8606E+03 6.0596E+03 3.8309E+03 4.4430E+03 3.5133E+03 3.4896E+03 3.7085E+03 3.3271E+03 2.9859E+03 3.1173E+03 1.5176E+03 7.5106E+02 4.2918E+02 2.6964E+02 1.2814E+02 1.1431E+02 3.0788E+02 2.6924E+02 2.3547E+02 3.2282E+02 3.0310E+02 2.8454E+02 3.2890E+02 3.0892E+02 1.0801E+02 5.0154E+01 1.6645E+01 7.5214E+00 4.0397E+00 2.7338E+00 1.4636E+01 1.3145E+01 6.1424E+00 3.3657E+00 1.1089E+00 5.0226E-01 2.7322E-01 1.6742E-01 1.1153E-01 7.9030E-02 5.8724E-02 4.5294E-02 3.5999E-02 2.9322E-02 2.4375E-02 1.7686E-02 1.5367E-02 1.3497E-02 1.0701E-02 9.6384E-03 9.2244E-03 6.2180E-03 5.7735E-03 5.0302E-03 4.4358E-03 3.9515E-03 3.2161E-03 2.6899E-03 2.5941E-03 2.2986E-03 1.7613E-03 1.4146E-03 9.3108E-04 6.8481E-04 5.3827E-04 4.4214E-04 3.7409E-04 3.2383E-04 2.8523E-04 2.5473E-04 2.3000E-04 2.0958E-04 1.9244E-04 1.7786E-04 1.6533E-04 1.4485E-04 1.2886E-04 1.1601E-04 1.0549E-04 9.6708E-05 8.9256E-05 8.2883E-05 6.1028E-05 4.8282E-05 3.9929E-05 2.9671E-05 2.3601E-05 1.5615E-05 1.1666E-05 7.7482E-06 5.8003E-06 4.6338E-06 3.8597E-06 2.8912E-06 2.3119E-06 1.5399E-06 1.1547E-06 7.6942E-07 5.7679E-07 4.6158E-07 3.8453E-07 2.8836E-07 2.3068E-07 1.5378E-07 1.1532E-07 7.6870E-08 5.7679E-08 4.6122E-08 3.8453E-08 2.8829E-08 2.3065E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.8163E-04 4.3862E-04 8.3304E-04 1.3062E-03 1.8300E-03 2.9584E-03 4.1369E-03 4.3998E-03 5.3243E-03 7.6006E-03 9.7213E-03 1.4434E-02 1.8431E-02 2.1869E-02 2.4904E-02 2.7630E-02 3.0107E-02 3.2379E-02 3.4482E-02 3.6437E-02 3.8273E-02 3.9965E-02 4.1513E-02 4.2990E-02 4.5654E-02 4.7994E-02 5.0154E-02 5.2099E-02 5.3863E-02 5.5519E-02 5.7031E-02 6.3152E-02 6.7725E-02 7.1253E-02 7.6474E-02 8.0182E-02 8.6015E-02 8.9472E-02 9.3504E-02 9.5808E-02 9.7321E-02 9.8401E-02 9.9841E-02 1.0074E-01 1.0211E-01 1.0283E-01 1.0362E-01 1.0405E-01 1.0431E-01 1.0449E-01 1.0474E-01 1.0488E-01 1.0510E-01 1.0521E-01 1.0535E-01 1.0539E-01 1.0542E-01 1.0546E-01 1.0549E-01 1.0553E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.4390E-08 2.7984E-06 9.8545E-06 4.0181E-05 7.9930E-05 1.2260E-04 1.6501E-04 2.0605E-04 2.4526E-04 2.8246E-04 3.1760E-04 3.5069E-04 3.8201E-04 4.1153E-04 4.3962E-04 4.6590E-04 5.1523E-04 5.5987E-04 6.0056E-04 6.3800E-04 6.7257E-04 7.0425E-04 7.3413E-04 8.5619E-04 9.4800E-04 1.0207E-03 1.1295E-03 1.2080E-03 1.3369E-03 1.4171E-03 1.5144E-03 1.5727E-03 1.6123E-03 1.6411E-03 1.6811E-03 1.7077E-03 1.7469E-03 1.7696E-03 1.7938E-03 1.8085E-03 1.8172E-03 1.8233E-03 1.8316E-03 1.8370E-03 1.8438E-03 1.8481E-03 1.8521E-03 1.8546E-03 1.8560E-03 1.8571E-03 1.8582E-03 1.8589E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/C.mat0000644000276300001750000001642013136054446020144 0ustar solebliss00000000000000Carbon 1 6 1.000000 1 96 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.0790E+00 6.8049E+01 1.4084E+00 9.5865E-01 8.3180E-01 6.1269E-01 4.6022E-01 3.5949E-01 2.9176E-01 2.0963E-01 1.6205E-01 9.7870E-02 6.4779E-02 3.3648E-02 2.0452E-02 1.3708E-02 9.8071E-03 5.7108E-03 3.7193E-03 1.6847E-03 9.5414E-04 6.1278E-04 6.1278E-04 4.2638E-04 2.4026E-04 1.8995E-04 1.5393E-04 1.2725E-04 1.0695E-04 9.1133E-05 6.8454E-05 6.0166E-05 5.3298E-05 4.2674E-05 3.8516E-05 3.6877E-05 2.4653E-05 2.2793E-05 1.9654E-05 1.7122E-05 1.5050E-05 1.1893E-05 9.6316E-06 9.2205E-06 7.9579E-06 5.6984E-06 4.2813E-06 2.4082E-06 1.5413E-06 1.0705E-06 7.8617E-07 6.0216E-07 4.7571E-07 3.8531E-07 3.1848E-07 2.6759E-07 2.2803E-07 1.9659E-07 1.7127E-07 1.5052E-07 1.1893E-07 9.6316E-08 7.9620E-08 6.6885E-08 5.7007E-08 4.9151E-08 4.2813E-08 2.4082E-08 1.5413E-08 1.0705E-08 6.0216E-09 3.8526E-09 1.7122E-09 9.6316E-10 4.2803E-10 2.4077E-10 1.5408E-10 1.0700E-10 6.0216E-11 3.8526E-11 1.7122E-11 9.6316E-12 4.2803E-12 2.4077E-12 1.5408E-12 1.0700E-12 6.0216E-13 3.8526E-13 1.7122E-13 9.6316E-14 4.2803E-14 2.4077E-14 1.5408E-14 1.0700E-14 6.0216E-15 3.8526E-15 INCOHERENT SCATTERING CROSS SECTION 1.2630E-02 6.9268E-03 4.1567E-03 2.5074E-02 3.8617E-02 6.4077E-02 8.4483E-02 9.9475E-02 1.1041E-01 1.2520E-01 1.3522E-01 1.5102E-01 1.5954E-01 1.6546E-01 1.6526E-01 1.6295E-01 1.5984E-01 1.5312E-01 1.4661E-01 1.3272E-01 1.2189E-01 1.1326E-01 1.1326E-01 1.0619E-01 9.5213E-02 9.0841E-02 8.6990E-02 8.3554E-02 8.0472E-02 7.7694E-02 7.2844E-02 7.0695E-02 6.8699E-02 6.5144E-02 6.3576E-02 6.2924E-02 5.6857E-02 5.5715E-02 5.3609E-02 5.1693E-02 4.9928E-02 4.6790E-02 4.4097E-02 4.3555E-02 4.1756E-02 3.7845E-02 3.4696E-02 2.8940E-02 2.4994E-02 2.2091E-02 1.9855E-02 1.8070E-02 1.6611E-02 1.5388E-02 1.4355E-02 1.3462E-02 1.2680E-02 1.1998E-02 1.1391E-02 1.0845E-02 9.9124E-03 9.1403E-03 8.4935E-03 7.9369E-03 7.4506E-03 7.0294E-03 6.6534E-03 5.2896E-03 4.4147E-03 3.8035E-03 2.9998E-03 2.4899E-03 1.7729E-03 1.3903E-03 9.8522E-04 7.7163E-04 6.3876E-04 5.4701E-04 4.2718E-04 3.5142E-04 2.4543E-04 1.8997E-04 1.3206E-04 1.0193E-04 8.3380E-05 7.0695E-05 5.4450E-05 4.4463E-05 3.0730E-05 2.3625E-05 1.6290E-05 1.2510E-05 1.0188E-05 8.6088E-06 6.6032E-06 5.3698E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.2096E+03 7.7239E+06 1.6271E+04 6.9943E+02 3.0168E+02 8.9648E+01 3.7238E+01 1.8657E+01 1.0544E+01 4.2412E+00 2.0757E+00 5.5854E-01 2.1765E-01 5.7058E-02 2.1931E-02 1.0424E-02 5.6707E-03 2.1695E-03 1.0313E-03 2.7060E-04 1.0634E-04 5.2354E-05 5.2354E-05 2.9802E-05 1.2715E-05 9.1099E-06 6.8389E-06 5.3312E-06 4.2527E-06 3.4450E-06 2.4341E-06 2.1444E-06 1.9425E-06 1.5629E-06 1.3332E-06 1.2294E-06 8.3481E-07 7.8593E-07 6.8905E-07 6.0617E-07 5.4163E-07 4.4879E-07 3.8261E-07 3.7022E-07 3.3180E-07 2.6117E-07 2.1469E-07 1.4776E-07 1.1226E-07 9.0350E-08 7.5559E-08 6.4879E-08 5.6857E-08 5.0590E-08 4.5531E-08 4.1404E-08 3.7960E-08 3.5042E-08 3.2540E-08 3.0374E-08 2.6799E-08 2.3976E-08 2.1690E-08 1.9800E-08 1.8215E-08 1.6862E-08 1.5698E-08 1.1667E-08 9.2806E-09 7.7063E-09 5.7559E-09 4.5907E-09 3.0489E-09 2.2828E-09 1.5192E-09 1.1381E-09 9.1001E-10 7.5809E-10 5.6807E-10 4.5451E-10 3.0289E-10 2.2713E-10 1.5137E-10 1.1351E-10 9.0801E-11 7.5659E-11 5.6757E-11 4.5405E-11 3.0269E-11 2.2703E-11 1.5132E-11 1.1351E-11 9.0801E-12 7.5659E-12 5.6757E-12 4.5400E-12 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.4390E-05 2.3353E-05 4.7756E-05 7.9921E-05 1.1868E-04 2.1156E-04 3.1868E-04 3.4355E-04 4.3393E-04 6.7313E-04 9.1252E-04 1.4816E-03 1.9885E-03 2.4448E-03 2.8514E-03 3.2179E-03 3.5508E-03 3.8536E-03 4.1289E-03 4.3816E-03 4.6173E-03 4.8359E-03 5.0389E-03 5.2345E-03 5.5854E-03 5.9013E-03 6.1921E-03 6.4528E-03 6.6935E-03 6.9141E-03 7.1197E-03 7.9620E-03 8.5937E-03 9.1001E-03 9.8622E-03 1.0424E-02 1.1366E-02 1.1953E-02 1.2675E-02 1.3101E-02 1.3387E-02 1.3598E-02 1.3878E-02 1.4064E-02 1.4335E-02 1.4485E-02 1.4650E-02 1.4736E-02 1.4796E-02 1.4831E-02 1.4886E-02 1.4916E-02 1.4961E-02 1.4986E-02 1.5011E-02 1.5027E-02 1.5032E-02 1.5042E-02 1.5047E-02 1.5052E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.1611E-07 3.4450E-06 1.2139E-05 4.9562E-05 9.8773E-05 1.5167E-04 2.0452E-04 2.5581E-04 3.0499E-04 3.5187E-04 3.9640E-04 4.3846E-04 4.7822E-04 5.1643E-04 5.5253E-04 5.8662E-04 6.5080E-04 7.0946E-04 7.6361E-04 8.1375E-04 8.5988E-04 9.0350E-04 9.4411E-04 1.1151E-03 1.2484E-03 1.3567E-03 1.5247E-03 1.6516E-03 1.8722E-03 2.0176E-03 2.2046E-03 2.3214E-03 2.4026E-03 2.4638E-03 2.5490E-03 2.6062E-03 2.6934E-03 2.7431E-03 2.7977E-03 2.8298E-03 2.8499E-03 2.8639E-03 2.8825E-03 2.8945E-03 2.9105E-03 2.9201E-03 2.9291E-03 2.9351E-03 2.9381E-03 2.9406E-03 2.9431E-03 2.9446E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Cs.mat0000644000276300001750000002066413136054446020334 0ustar solebliss00000000000000Cesium 1 55 1.000000 7 4 3 7 3 3 8 83 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0650E-03 1.0650E-03 1.1385E-03 1.2171E-03 1.2171E-03 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 5.0119E-03 5.0119E-03 5.1827E-03 5.3594E-03 5.3594E-03 5.5340E-03 5.7143E-03 5.7143E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 3.5985E-02 3.5985E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 8.5503E+00 3.4738E+04 1.1475E+01 8.4914E+00 8.4914E+00 8.4221E+00 8.3464E+00 8.3464E+00 8.0745E+00 7.5761E+00 6.5928E+00 5.7455E+00 5.0432E+00 5.0341E+00 5.0341E+00 4.9212E+00 4.8211E+00 4.8211E+00 4.7211E+00 4.6172E+00 4.6172E+00 4.4586E+00 3.5479E+00 2.8863E+00 1.8985E+00 1.3593E+00 7.7890E-01 5.9449E-01 5.9449E-01 5.0704E-01 3.6045E-01 2.6978E-01 1.6643E-01 1.1278E-01 5.4872E-02 3.2506E-02 2.1457E-02 2.1457E-02 1.5197E-02 8.7542E-03 6.9746E-03 5.6866E-03 4.7231E-03 3.9847E-03 3.4071E-03 2.5731E-03 2.2660E-03 2.0104E-03 1.6138E-03 1.4586E-03 1.3974E-03 9.3749E-04 8.6718E-04 7.4841E-04 6.5248E-04 5.7387E-04 4.5391E-04 3.6793E-04 3.5230E-04 3.0422E-04 2.1797E-04 1.6380E-04 9.2209E-05 5.9041E-05 4.1002E-05 3.0128E-05 2.3068E-05 1.8224E-05 1.4762E-05 1.2202E-05 1.0254E-05 8.7360E-06 7.5308E-06 6.5611E-06 5.7681E-06 4.5583E-06 3.6915E-06 3.0508E-06 2.5633E-06 2.1840E-06 1.8831E-06 1.6407E-06 9.2299E-07 5.9041E-07 4.1016E-07 2.3073E-07 1.4767E-07 6.5611E-08 3.6911E-08 1.6407E-08 9.2299E-09 5.9041E-09 4.1011E-09 2.3068E-09 1.4762E-09 6.5611E-10 3.6911E-10 1.6407E-10 9.2299E-11 5.9041E-11 4.1011E-11 2.3068E-11 1.4762E-11 6.5611E-12 3.6911E-12 1.6407E-12 9.2299E-13 5.9041E-13 4.1011E-13 2.3068E-13 1.4762E-13 INCOHERENT SCATTERING CROSS SECTION 5.8814E-03 1.5722E+03 3.5751E-03 6.3934E-03 6.3934E-03 6.9734E-03 7.5942E-03 7.5942E-03 9.8643E-03 1.3992E-02 2.2035E-02 2.9407E-02 3.5819E-02 3.5891E-02 3.5891E-02 3.6904E-02 3.7908E-02 3.7908E-02 3.8870E-02 3.9847E-02 3.9847E-02 4.1369E-02 5.0794E-02 5.8905E-02 7.4628E-02 8.5186E-02 9.7601E-02 1.0200E-01 1.0200E-01 1.0417E-01 1.0771E-01 1.0947E-01 1.1006E-01 1.0861E-01 1.0240E-01 9.6015E-02 9.0344E-02 9.0344E-02 8.5412E-02 7.7347E-02 7.4015E-02 7.1048E-02 6.8385E-02 6.5973E-02 6.3773E-02 5.9898E-02 5.8180E-02 5.6586E-02 5.3719E-02 5.2425E-02 5.1882E-02 4.6943E-02 4.6008E-02 4.4273E-02 4.2692E-02 4.1246E-02 3.8682E-02 3.6467E-02 3.6018E-02 3.4530E-02 3.1308E-02 2.8714E-02 2.3956E-02 2.0694E-02 1.8292E-02 1.6444E-02 1.4966E-02 1.3757E-02 1.2746E-02 1.1890E-02 1.1151E-02 1.0503E-02 9.9368E-03 9.4338E-03 8.9853E-03 8.2104E-03 7.5715E-03 7.0323E-03 6.5747E-03 6.1714E-03 5.8225E-03 5.5144E-03 4.3812E-03 3.6571E-03 3.1510E-03 2.4849E-03 2.0626E-03 1.4690E-03 1.1518E-03 8.1606E-04 6.3934E-04 5.2924E-04 4.5311E-04 3.5388E-04 2.9113E-04 2.0331E-04 1.5737E-04 1.0943E-04 8.4461E-05 6.9055E-05 5.8542E-05 4.5117E-05 3.6834E-05 2.5456E-05 1.9570E-05 1.3498E-05 1.0363E-05 8.4370E-06 7.1320E-06 5.4691E-06 4.4496E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 9.3568E+03 1.1413E+06 3.9734E+04 8.2059E+03 8.6771E+03 7.5548E+03 6.5792E+03 6.8828E+03 4.3272E+03 2.2180E+03 8.2512E+02 3.9969E+02 2.2529E+02 2.2397E+02 6.6245E+02 6.0881E+02 5.5960E+02 7.6440E+02 7.0541E+02 6.5113E+02 7.4990E+02 6.6653E+02 3.1786E+02 1.7635E+02 5.9086E+01 2.6775E+01 8.6318E+00 5.1655E+00 3.0735E+01 2.3195E+01 1.2927E+01 7.8706E+00 3.5597E+00 1.9031E+00 6.0174E-01 2.6557E-01 1.4177E-01 1.4177E-01 8.5639E-02 3.9607E-02 2.9206E-02 2.2384E-02 1.7698E-02 1.4355E-02 1.1894E-02 8.5890E-03 7.4492E-03 6.5330E-03 5.1687E-03 4.6535E-03 4.4532E-03 3.0028E-03 2.7895E-03 2.4333E-03 2.1482E-03 1.9154E-03 1.5608E-03 1.3068E-03 1.2606E-03 1.1180E-03 8.5904E-04 6.9191E-04 4.5810E-04 3.3834E-04 2.6684E-04 2.1962E-04 1.8628E-04 1.6154E-04 1.4250E-04 1.2742E-04 1.1518E-04 1.0503E-04 9.6513E-05 8.9309E-05 8.3056E-05 7.2815E-05 6.4841E-05 5.8452E-05 5.3150E-05 4.8755E-05 4.5031E-05 4.1827E-05 3.0848E-05 2.4427E-05 2.0218E-05 1.5030E-05 1.1962E-05 7.9204E-06 5.9177E-06 3.9321E-06 2.9439E-06 2.3526E-06 1.9593E-06 1.4681E-06 1.1736E-06 7.8208E-07 5.8633E-07 3.9072E-07 2.9298E-07 2.3435E-07 1.9529E-07 1.4645E-07 1.1718E-07 7.8117E-08 5.8588E-08 3.9045E-08 2.9285E-08 2.3426E-08 1.9520E-08 1.4640E-08 1.1713E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.9874E-04 3.0834E-04 5.8404E-04 9.1892E-04 1.2984E-03 2.1487E-03 3.0694E-03 3.2765E-03 4.0137E-03 5.8829E-03 7.6712E-03 1.1704E-02 1.5179E-02 1.8170E-02 2.0830E-02 2.3218E-02 2.5388E-02 2.7377E-02 2.9212E-02 3.0911E-02 3.2493E-02 3.3956E-02 3.5307E-02 3.6562E-02 3.8841E-02 4.0885E-02 4.2738E-02 4.4423E-02 4.5946E-02 4.7350E-02 4.8664E-02 5.3921E-02 5.7817E-02 6.0899E-02 6.5384E-02 6.8556E-02 7.3631E-02 7.6667E-02 8.0201E-02 8.2240E-02 8.3600E-02 8.4551E-02 8.5820E-02 8.6681E-02 8.7859E-02 8.8493E-02 8.9218E-02 8.9581E-02 8.9853E-02 8.9989E-02 9.0215E-02 9.0351E-02 9.0578E-02 9.0668E-02 9.0759E-02 9.0804E-02 9.0849E-02 9.0895E-02 9.0895E-02 9.0940E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 9.6165E-08 2.8512E-06 1.0041E-05 4.0952E-05 8.1515E-05 1.2501E-04 1.6838E-04 2.1029E-04 2.5039E-04 2.8845E-04 3.2448E-04 3.5837E-04 3.9031E-04 4.2072E-04 4.4944E-04 4.7668E-04 5.2743E-04 5.7319E-04 6.1533E-04 6.5384E-04 6.8964E-04 7.2226E-04 7.5308E-04 8.7995E-04 9.7601E-04 1.0521E-03 1.1668E-03 1.2501E-03 1.3883E-03 1.4749E-03 1.5809E-03 1.6444E-03 1.6883E-03 1.7200E-03 1.7644E-03 1.7939E-03 1.8378E-03 1.8628E-03 1.8904E-03 1.9067E-03 1.9162E-03 1.9235E-03 1.9325E-03 1.9389E-03 1.9466E-03 1.9516E-03 1.9561E-03 1.9588E-03 1.9606E-03 1.9615E-03 1.9629E-03 1.9638E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Cr.mat0000644000276300001750000001666213136054446020336 0ustar solebliss00000000000000Chromium 1 24 1.000000 2 9 89 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 5.9892E-03 5.9892E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 4.1405E+00 3.5071E+01 4.8134E+00 3.8637E+00 3.5730E+00 3.0182E+00 2.5318E+00 2.1288E+00 1.8079E+00 1.8079E+00 1.8045E+00 1.3458E+00 1.0545E+00 6.6283E-01 4.5725E-01 2.4936E-01 1.5728E-01 1.0916E-01 8.0529E-02 4.9049E-02 3.2881E-02 1.5497E-02 8.9760E-03 5.8437E-03 5.8437E-03 4.1012E-03 2.3338E-03 1.8509E-03 1.5033E-03 1.2447E-03 1.0472E-03 8.9330E-04 6.7214E-04 5.9114E-04 5.2392E-04 4.1977E-04 3.7896E-04 3.6286E-04 2.4287E-04 2.2459E-04 1.9369E-04 1.6875E-04 1.4833E-04 1.1722E-04 9.4972E-05 9.0929E-05 7.8503E-05 5.6217E-05 4.2228E-05 2.3754E-05 1.5207E-05 1.0559E-05 7.7576E-06 5.9404E-06 4.6930E-06 3.8012E-06 3.1422E-06 2.6395E-06 2.2492E-06 1.9400E-06 1.6898E-06 1.4848E-06 1.1732E-06 9.5041E-07 7.8548E-07 6.6005E-07 5.6242E-07 4.8493E-07 4.2239E-07 2.3766E-07 1.5207E-07 1.0559E-07 5.9404E-08 3.8012E-08 1.6898E-08 9.5029E-09 4.2239E-09 2.3754E-09 1.5207E-09 1.0559E-09 5.9392E-10 3.8012E-10 1.6898E-10 9.5029E-11 4.2239E-11 2.3754E-11 1.5207E-11 1.0559E-11 5.9392E-12 3.8012E-12 1.6898E-12 9.5029E-13 4.2239E-13 2.3754E-13 1.5207E-13 1.0559E-13 5.9392E-14 3.8012E-14 INCOHERENT SCATTERING CROSS SECTION 8.5440E-03 1.0762E-02 3.5136E-03 1.4906E-02 2.1056E-02 3.2800E-02 4.3571E-02 5.3277E-02 6.1882E-02 6.1882E-02 6.1975E-02 7.6580E-02 8.7849E-02 1.0631E-01 1.1744E-01 1.2937E-01 1.3412E-01 1.3551E-01 1.3528E-01 1.3284E-01 1.2914E-01 1.1929E-01 1.1063E-01 1.0332E-01 1.0332E-01 9.7161E-02 8.7420E-02 8.3484E-02 8.0008E-02 7.6906E-02 7.4113E-02 7.1577E-02 6.7145E-02 6.5195E-02 6.3392E-02 6.0143E-02 5.8662E-02 5.8037E-02 5.2478E-02 5.1432E-02 4.9484E-02 4.7706E-02 4.6077E-02 4.3194E-02 4.0722E-02 4.0224E-02 3.8567E-02 3.4958E-02 3.2047E-02 2.6731E-02 2.3094E-02 2.0407E-02 1.8346E-02 1.6690E-02 1.5346E-02 1.4223E-02 1.3261E-02 1.2439E-02 1.1721E-02 1.1085E-02 1.0524E-02 1.0022E-02 9.1601E-03 8.4467E-03 7.8456E-03 7.3313E-03 6.8843E-03 6.4940E-03 6.1500E-03 4.8864E-03 4.0791E-03 3.5139E-03 2.7715E-03 2.3002E-03 1.6388E-03 1.2844E-03 9.1045E-04 7.1310E-04 5.9021E-04 5.0543E-04 3.9471E-04 3.2476E-04 2.2677E-04 1.7547E-04 1.2207E-04 9.4207E-05 7.7020E-05 6.5310E-05 5.0323E-05 4.1081E-05 2.8399E-05 2.1832E-05 1.5056E-05 1.1558E-05 9.4115E-06 7.9556E-06 6.1002E-06 4.9628E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 7.4008E+03 2.3157E+06 4.1731E+04 2.6905E+03 1.2740E+03 4.3085E+02 1.9620E+02 1.0578E+02 6.3863E+01 5.1400E+02 5.1424E+02 2.4994E+02 1.3759E+02 4.4949E+01 1.9805E+01 6.0550E+00 2.5642E+00 1.3064E+00 7.4819E-01 3.0854E-01 1.5462E-01 4.3988E-02 1.8172E-02 9.2545E-03 9.2545E-03 5.3960E-03 2.3754E-03 1.7204E-03 1.3006E-03 1.0182E-03 8.1838E-04 6.7152E-04 4.7933E-04 4.1637E-04 3.6742E-04 2.9141E-04 2.5897E-04 2.4565E-04 1.6620E-04 1.5504E-04 1.3573E-04 1.1999E-04 1.0719E-04 8.7879E-05 7.4089E-05 7.1576E-05 6.3804E-05 4.9582E-05 4.0317E-05 2.7206E-05 2.0396E-05 1.6249E-05 1.3493E-05 1.1519E-05 1.0044E-05 8.8995E-06 7.9880E-06 7.2433E-06 6.6260E-06 6.1037E-06 5.6578E-06 5.2732E-06 4.6397E-06 4.1417E-06 3.7398E-06 3.4097E-06 3.1329E-06 2.8966E-06 2.6939E-06 1.9956E-06 1.5844E-06 1.3134E-06 9.7890E-07 7.8016E-07 5.1748E-07 3.8707E-07 2.5735E-07 1.9284E-07 1.5416E-07 1.2833E-07 9.6211E-08 7.6939E-08 5.1261E-08 3.8440E-08 2.5619E-08 1.9214E-08 1.5369E-08 1.2810E-08 9.6049E-09 7.6834E-09 5.1215E-09 3.8417E-09 2.5608E-09 1.9203E-09 1.5369E-09 1.2798E-09 9.6026E-10 7.6823E-10 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 6.2646E-05 9.9553E-05 1.9695E-04 3.2221E-04 4.7174E-04 8.2957E-04 1.2416E-03 1.3366E-03 1.6792E-03 2.5699E-03 3.4468E-03 5.5188E-03 7.3499E-03 8.9829E-03 1.0435E-02 1.1744E-02 1.2925E-02 1.3991E-02 1.4964E-02 1.5856E-02 1.6678E-02 1.7454E-02 1.8160E-02 1.8832E-02 2.0071E-02 2.1160E-02 2.2156E-02 2.3060E-02 2.3882E-02 2.4646E-02 2.5353E-02 2.8214E-02 3.0356E-02 3.2036E-02 3.4537E-02 3.6321E-02 3.9216E-02 4.0965E-02 4.3027E-02 4.4220E-02 4.5007E-02 4.5575E-02 4.6339E-02 4.6826E-02 4.7544E-02 4.7937E-02 4.8354E-02 4.8586E-02 4.8725E-02 4.8829E-02 4.8957E-02 4.9038E-02 4.9154E-02 4.9223E-02 4.9281E-02 4.9316E-02 4.9339E-02 4.9350E-02 4.9374E-02 4.9385E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.0728E-07 3.1829E-06 1.1215E-05 4.5783E-05 9.1207E-05 1.4003E-04 1.8878E-04 2.3604E-04 2.8121E-04 3.2429E-04 3.6506E-04 4.0363E-04 4.4000E-04 4.7463E-04 5.0752E-04 5.3879E-04 5.9682E-04 6.4974E-04 6.9839E-04 7.4321E-04 7.8479E-04 8.2336E-04 8.5938E-04 1.0096E-03 1.1248E-03 1.2173E-03 1.3586E-03 1.4616E-03 1.6365E-03 1.7477E-03 1.8855E-03 1.9701E-03 2.0280E-03 2.0708E-03 2.1299E-03 2.1693E-03 2.2284E-03 2.2631E-03 2.3002E-03 2.3222E-03 2.3349E-03 2.3442E-03 2.3569E-03 2.3650E-03 2.3766E-03 2.3824E-03 2.3882E-03 2.3928E-03 2.3951E-03 2.3963E-03 2.3986E-03 2.3998E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Br.mat0000644000276300001750000002005013136054446020317 0ustar solebliss00000000000000Br 1 35 1.000000 5 5 3 3 9 86 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 1.5499E-03 1.5499E-03 1.5728E-03 1.5960E-03 1.5960E-03 1.6864E-03 1.7820E-03 1.7820E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.3474E-02 1.3474E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 5.8334E+00 5.7342E+01 6.6657E+00 5.5116E+00 5.4754E+00 5.4754E+00 5.4586E+00 5.4415E+00 5.4415E+00 5.3772E+00 5.3096E+00 5.3096E+00 5.1476E+00 4.4391E+00 3.8437E+00 3.3606E+00 2.9597E+00 2.3228E+00 1.8457E+00 1.2865E+00 1.2865E+00 1.1222E+00 7.6498E-01 4.3261E-01 2.7660E-01 1.9121E-01 1.4048E-01 8.5692E-02 5.7972E-02 2.7788E-02 1.6204E-02 1.0590E-02 7.4561E-03 5.5314E-03 4.2650E-03 3.3875E-03 2.7547E-03 2.2835E-03 1.9234E-03 1.6420E-03 1.2368E-03 1.0883E-03 9.6499E-04 7.7376E-04 6.9873E-04 6.6911E-04 4.4806E-04 4.1437E-04 3.5745E-04 3.1149E-04 2.7385E-04 2.1645E-04 1.7538E-04 1.6792E-04 1.4498E-04 1.0383E-04 7.8005E-05 4.3894E-05 2.8097E-05 1.9513E-05 1.4335E-05 1.0973E-05 8.6748E-06 7.0250E-06 5.8055E-06 4.8785E-06 4.1573E-06 3.5845E-06 3.1225E-06 2.7441E-06 2.1683E-06 1.7561E-06 1.4516E-06 1.2194E-06 1.0393E-06 8.9612E-07 7.8080E-07 4.3909E-07 2.8104E-07 1.9513E-07 1.0973E-07 7.0250E-08 3.1225E-08 1.7561E-08 7.8080E-09 4.3909E-09 2.8097E-09 1.9513E-09 1.0973E-09 7.0250E-10 3.1225E-10 1.7561E-10 7.8080E-11 4.3909E-11 2.8097E-11 1.9513E-11 1.0973E-11 7.0250E-12 3.1225E-12 1.7561E-12 7.8080E-13 4.3909E-13 2.8097E-13 1.9513E-13 1.0973E-13 7.0250E-14 INCOHERENT SCATTERING CROSS SECTION 5.1732E-03 1.0515E-02 1.7964E-03 1.0084E-02 1.0597E-02 1.0597E-02 1.0835E-02 1.1079E-02 1.1079E-02 1.2023E-02 1.3016E-02 1.3016E-02 1.5284E-02 2.5173E-02 3.3923E-02 4.1490E-02 4.8114E-02 5.9480E-02 6.9059E-02 8.2527E-02 8.2527E-02 8.7275E-02 9.9409E-02 1.1305E-01 1.1961E-01 1.2247E-01 1.2330E-01 1.2217E-01 1.1946E-01 1.1139E-01 1.0378E-01 9.7184E-02 9.1571E-02 8.6774E-02 8.2602E-02 7.8925E-02 7.5669E-02 7.2770E-02 7.0159E-02 6.7783E-02 6.3611E-02 6.1771E-02 6.0068E-02 5.7000E-02 5.5606E-02 5.5018E-02 4.9757E-02 4.8766E-02 4.6923E-02 4.5243E-02 4.3705E-02 4.0981E-02 3.8633E-02 3.8158E-02 3.6581E-02 3.3157E-02 3.0403E-02 2.5369E-02 2.1909E-02 1.9362E-02 1.7410E-02 1.5842E-02 1.4561E-02 1.3491E-02 1.2586E-02 1.1802E-02 1.1117E-02 1.0521E-02 9.9861E-03 9.5113E-03 8.6898E-03 8.0191E-03 7.4455E-03 6.9571E-03 6.5336E-03 6.1628E-03 5.8357E-03 4.6373E-03 3.8709E-03 3.3350E-03 2.6303E-03 2.1834E-03 1.5548E-03 1.2187E-03 8.6371E-04 6.7665E-04 5.6013E-04 4.7956E-04 3.7457E-04 3.0818E-04 2.1517E-04 1.6656E-04 1.1584E-04 8.9385E-05 7.3091E-05 6.1982E-05 4.7753E-05 3.8987E-05 2.6944E-05 2.0718E-05 1.4290E-05 1.0966E-05 8.9310E-06 7.5518E-06 5.7890E-06 4.7097E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.6183E+03 6.3167E+05 1.3651E+04 9.9635E+02 9.2023E+02 4.3065E+03 3.9306E+03 3.5875E+03 5.0971E+03 4.4952E+03 3.9643E+03 4.4889E+03 3.4021E+03 1.2262E+03 5.7761E+02 3.1790E+02 1.9384E+02 8.7878E+01 4.7202E+01 2.0394E+01 1.4568E+02 1.1064E+02 5.1792E+01 1.6988E+01 7.5043E+00 3.9500E+00 2.3183E+00 9.9032E-01 5.0865E-01 1.5073E-01 6.3851E-02 3.3103E-02 1.9558E-02 1.2660E-02 8.7652E-03 6.3898E-03 4.8544E-03 3.8130E-03 3.0735E-03 2.5295E-03 1.8121E-03 1.5737E-03 1.3864E-03 1.0988E-03 9.7977E-04 9.3154E-04 6.2916E-04 5.8612E-04 5.1231E-04 4.5243E-04 4.0371E-04 3.3002E-04 2.7743E-04 2.6785E-04 2.3826E-04 1.8421E-04 1.4915E-04 9.9861E-05 7.4372E-05 5.9028E-05 4.8823E-05 4.1573E-05 3.6169E-05 3.1993E-05 2.8670E-05 2.5964E-05 2.3718E-05 2.1834E-05 2.0221E-05 1.8827E-05 1.6543E-05 1.4757E-05 1.3310E-05 1.2127E-05 1.1132E-05 1.0288E-05 9.5641E-06 7.0732E-06 5.6096E-06 4.6479E-06 3.4609E-06 2.7562E-06 1.8269E-06 1.3664E-06 9.0817E-07 6.8011E-07 5.4355E-07 4.5273E-07 3.3930E-07 2.7132E-07 1.8073E-07 1.3551E-07 9.0365E-08 6.7740E-08 5.4181E-08 4.5152E-08 3.3862E-08 2.7087E-08 1.8058E-08 1.3543E-08 9.0290E-09 6.7710E-09 5.4166E-09 4.5137E-09 3.3855E-09 2.7079E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0092E-04 1.5848E-04 3.0719E-04 4.9418E-04 7.1357E-04 1.2280E-03 1.8073E-03 1.9392E-03 2.4149E-03 3.6583E-03 4.8830E-03 7.7101E-03 1.0190E-02 1.2368E-02 1.4312E-02 1.6061E-02 1.7643E-02 1.9090E-02 2.0409E-02 2.1623E-02 2.2731E-02 2.3763E-02 2.4720E-02 2.5617E-02 2.7260E-02 2.8730E-02 3.0064E-02 3.1285E-02 3.2393E-02 3.3410E-02 3.4345E-02 3.8173E-02 4.1022E-02 4.3238E-02 4.6524E-02 4.8853E-02 5.2569E-02 5.4784E-02 5.7362E-02 5.8847E-02 5.9819E-02 6.0520E-02 6.1447E-02 6.2050E-02 6.2924E-02 6.3399E-02 6.3911E-02 6.4183E-02 6.4356E-02 6.4477E-02 6.4635E-02 6.4740E-02 6.4876E-02 6.4951E-02 6.5027E-02 6.5072E-02 6.5095E-02 6.5110E-02 6.5140E-02 6.5147E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0187E-07 3.0211E-06 1.0642E-05 4.3419E-05 8.6446E-05 1.3272E-04 1.7885E-04 2.2354E-04 2.6627E-04 3.0697E-04 3.4541E-04 3.8173E-04 4.1603E-04 4.4866E-04 4.7956E-04 5.0895E-04 5.6352E-04 6.1319E-04 6.5863E-04 7.0054E-04 7.3928E-04 7.7553E-04 8.0869E-04 9.4812E-04 1.0536E-03 1.1380E-03 1.2654E-03 1.3581E-03 1.5126E-03 1.6098E-03 1.7297E-03 1.8020E-03 1.8510E-03 1.8872E-03 1.9369E-03 1.9701E-03 2.0191E-03 2.0470E-03 2.0771E-03 2.0952E-03 2.1058E-03 2.1140E-03 2.1238E-03 2.1306E-03 2.1389E-03 2.1442E-03 2.1487E-03 2.1517E-03 2.1540E-03 2.1547E-03 2.1563E-03 2.1570E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ti.mat0000644000276300001750000001666213136054446020346 0ustar solebliss00000000000000Ti 1 22 1.000000 2 8 90 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 4.9664E-03 4.9664E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 3.6915E+00 3.8236E+01 4.4255E+00 3.3871E+00 3.0928E+00 2.5809E+00 2.1571E+00 1.8237E+00 1.8237E+00 1.8137E+00 1.5408E+00 1.1600E+00 9.2030E-01 5.8536E-01 4.0060E-01 2.1696E-01 1.3710E-01 9.5275E-02 7.0246E-02 4.2638E-02 2.8501E-02 1.3395E-02 7.7490E-03 5.0393E-03 3.5343E-03 2.6136E-03 2.0099E-03 1.5928E-03 1.2930E-03 1.0704E-03 9.0068E-04 7.6828E-04 5.7797E-04 5.0826E-04 4.5042E-04 3.6084E-04 3.2576E-04 3.1192E-04 2.0866E-04 1.9295E-04 1.6643E-04 1.4502E-04 1.2748E-04 1.0073E-04 8.1603E-05 7.8132E-05 6.7458E-05 4.8308E-05 3.6286E-05 2.0413E-05 1.3068E-05 9.0735E-06 6.6661E-06 5.1040E-06 4.0324E-06 3.2664E-06 2.6991E-06 2.2677E-06 1.9332E-06 1.6665E-06 1.4515E-06 1.2754E-06 1.0081E-06 8.1666E-07 6.7491E-07 5.6712E-07 4.8323E-07 4.1669E-07 3.6299E-07 2.0413E-07 1.3068E-07 9.0735E-08 5.1040E-08 3.2664E-08 1.4515E-08 8.1654E-09 3.6286E-09 2.0413E-09 1.3068E-09 9.0735E-10 5.1040E-10 3.2664E-10 1.4515E-10 8.1654E-11 3.6286E-11 2.0413E-11 1.3068E-11 9.0735E-12 5.1040E-12 3.2664E-12 1.4515E-12 8.1654E-13 3.6286E-13 2.0413E-13 1.3068E-13 9.0735E-14 5.1040E-14 3.2664E-14 INCOHERENT SCATTERING CROSS SECTION 1.1819E-02 4.9067E-02 5.4368E-03 1.9495E-02 2.6186E-02 3.8374E-02 4.9405E-02 5.8838E-02 5.8838E-02 5.9140E-02 6.7692E-02 8.1578E-02 9.1929E-02 1.0898E-01 1.1964E-01 1.3081E-01 1.3496E-01 1.3609E-01 1.3571E-01 1.3307E-01 1.2917E-01 1.1918E-01 1.1037E-01 1.0300E-01 9.6835E-02 9.1598E-02 8.7087E-02 8.3151E-02 7.9679E-02 7.6587E-02 7.3805E-02 7.1281E-02 6.6862E-02 6.4913E-02 6.3108E-02 5.9864E-02 5.8398E-02 5.7781E-02 5.2247E-02 5.1205E-02 4.9265E-02 4.7493E-02 4.5865E-02 4.2988E-02 4.0537E-02 4.0047E-02 3.8410E-02 3.4816E-02 3.1909E-02 2.6614E-02 2.2992E-02 2.0313E-02 1.8263E-02 1.6615E-02 1.5282E-02 1.4150E-02 1.3206E-02 1.2381E-02 1.1664E-02 1.1036E-02 1.0477E-02 9.9765E-03 9.1187E-03 8.4081E-03 7.8107E-03 7.2988E-03 6.8535E-03 6.4649E-03 6.1215E-03 4.8650E-03 4.0600E-03 3.4991E-03 2.7595E-03 2.2904E-03 1.6313E-03 1.2791E-03 9.0634E-04 7.0988E-04 5.8762E-04 5.0310E-04 3.9292E-04 3.2324E-04 2.2577E-04 1.7470E-04 1.2149E-04 9.3778E-05 7.6673E-05 6.5013E-05 5.0096E-05 4.0902E-05 2.8262E-05 2.1734E-05 1.4980E-05 1.1505E-05 9.3690E-06 7.9201E-06 6.0724E-06 4.9405E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 5.8649E+03 2.0421E+06 3.4153E+04 2.0929E+03 9.8294E+02 3.2966E+02 1.4955E+02 8.1918E+01 6.8585E+02 6.8196E+02 4.3078E+02 2.0112E+02 1.0966E+02 3.5179E+01 1.5332E+01 4.6235E+00 1.9407E+00 9.8206E-01 5.6008E-01 2.2954E-01 1.1441E-01 3.2287E-02 1.3269E-02 6.7353E-03 3.9179E-03 2.5064E-03 1.7194E-03 1.2442E-03 9.3980E-04 7.3494E-04 5.9014E-04 4.8391E-04 3.4526E-04 2.9997E-04 2.6482E-04 2.1006E-04 1.8653E-04 1.7684E-04 1.1969E-04 1.1167E-04 9.7762E-05 8.6420E-05 7.7230E-05 6.3377E-05 5.3467E-05 5.1656E-05 4.6061E-05 3.5841E-05 2.9180E-05 1.9722E-05 1.4804E-05 1.1808E-05 9.8067E-06 8.3779E-06 7.3076E-06 6.4787E-06 5.8159E-06 5.2763E-06 4.8273E-06 4.4474E-06 4.1229E-06 3.8424E-06 3.3821E-06 3.0199E-06 2.7281E-06 2.4866E-06 2.2853E-06 2.1130E-06 1.9659E-06 1.4565E-06 1.1566E-06 9.5916E-07 7.1491E-07 5.6976E-07 3.7796E-07 2.8274E-07 1.8803E-07 1.4087E-07 1.1261E-07 9.3791E-08 7.0296E-08 5.6222E-08 3.7456E-08 2.8086E-08 1.8715E-08 1.4037E-08 1.1229E-08 9.3577E-09 7.0183E-09 5.6146E-09 3.7431E-09 2.8073E-09 1.8715E-09 1.4037E-09 1.1227E-09 9.3552E-10 7.0170E-10 5.6134E-10 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 5.5681E-05 8.8745E-05 1.7640E-04 2.8954E-04 4.2472E-04 7.4860E-04 1.1237E-03 1.2107E-03 1.5246E-03 2.3370E-03 3.1343E-03 5.0285E-03 6.7051E-03 8.2031E-03 9.5338E-03 1.0731E-02 1.1815E-02 1.2791E-02 1.3684E-02 1.4502E-02 1.5269E-02 1.5961E-02 1.6628E-02 1.7244E-02 1.8363E-02 1.9382E-02 2.0288E-02 2.1118E-02 2.1872E-02 2.2577E-02 2.3218E-02 2.5859E-02 2.7822E-02 2.9356E-02 3.1658E-02 3.3305E-02 3.5972E-02 3.7594E-02 3.9506E-02 4.0626E-02 4.1368E-02 4.1908E-02 4.2625E-02 4.3091E-02 4.3770E-02 4.4135E-02 4.4537E-02 4.4751E-02 4.4889E-02 4.4990E-02 4.5116E-02 4.5191E-02 4.5304E-02 4.5367E-02 4.5418E-02 4.5455E-02 4.5480E-02 4.5493E-02 4.5506E-02 4.5518E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0678E-07 3.1681E-06 1.1164E-05 4.5581E-05 9.0810E-05 1.3949E-04 1.8791E-04 2.3495E-04 2.8010E-04 3.2299E-04 3.6362E-04 4.0198E-04 4.3820E-04 4.7279E-04 5.0562E-04 5.3681E-04 5.9467E-04 6.4749E-04 6.9604E-04 7.4082E-04 7.8220E-04 8.2081E-04 8.5678E-04 1.0068E-03 1.1223E-03 1.2149E-03 1.3559E-03 1.4615E-03 1.6376E-03 1.7508E-03 1.8929E-03 1.9797E-03 2.0401E-03 2.0854E-03 2.1482E-03 2.1910E-03 2.2539E-03 2.2916E-03 2.3319E-03 2.3558E-03 2.3709E-03 2.3809E-03 2.3948E-03 2.4036E-03 2.4161E-03 2.4237E-03 2.4300E-03 2.4350E-03 2.4375E-03 2.4388E-03 2.4413E-03 2.4426E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Np.mat0000644000276300001750000002266213136054446020344 0ustar solebliss00000000000000Np 1 93 1.000000 13 4 3 3 4 3 3 3 3 6 3 3 8 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0868E-03 1.0868E-03 1.2012E-03 1.3277E-03 1.3277E-03 1.5000E-03 1.5007E-03 1.5007E-03 2.0000E-03 3.0000E-03 3.6658E-03 3.6658E-03 3.7569E-03 3.8503E-03 3.8503E-03 4.0000E-03 4.4347E-03 4.4347E-03 5.0000E-03 5.3662E-03 5.3662E-03 5.5418E-03 5.7232E-03 5.7232E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.7610E-02 1.7610E-02 2.0000E-02 2.1600E-02 2.1600E-02 2.2010E-02 2.2427E-02 2.2427E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.1868E-01 1.1868E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.3940E+01 2.0479E-02 1.2396E+01 1.3833E+01 1.3833E+01 1.3718E+01 1.3543E+01 1.3543E+01 1.3312E+01 1.3312E+01 1.3312E+01 1.2649E+01 1.1338E+01 1.0525E+01 1.0525E+01 1.0420E+01 1.0312E+01 1.0312E+01 1.0139E+01 9.6665E+00 9.6665E+00 9.0923E+00 8.7443E+00 8.7443E+00 8.5859E+00 8.4267E+00 8.4267E+00 8.1905E+00 6.7475E+00 5.6500E+00 3.8437E+00 3.2188E+00 3.2188E+00 2.7717E+00 2.5224E+00 2.5224E+00 2.4642E+00 2.4068E+00 2.4068E+00 1.6345E+00 1.0988E+00 7.9313E-01 5.9726E-01 3.7523E-01 2.6040E-01 1.9526E-01 1.9526E-01 1.3038E-01 7.8119E-02 5.2255E-02 3.7523E-02 2.8282E-02 2.2089E-02 1.7730E-02 1.4544E-02 1.2145E-02 1.0294E-02 8.8360E-03 6.7162E-03 5.9320E-03 5.2777E-03 4.2555E-03 3.8514E-03 3.6913E-03 2.4935E-03 2.3095E-03 1.9975E-03 1.7445E-03 1.5367E-03 1.2185E-03 9.8977E-04 9.4810E-04 8.1982E-04 5.8892E-04 4.4331E-04 2.5006E-04 1.6028E-04 1.1140E-04 8.1879E-05 6.2724E-05 4.9565E-05 4.0165E-05 3.3204E-05 2.7894E-05 2.3769E-05 2.0497E-05 1.7854E-05 1.5692E-05 1.2400E-05 1.0045E-05 8.3023E-06 6.9761E-06 5.9447E-06 5.1267E-06 4.4636E-06 2.5115E-06 1.6074E-06 1.1163E-06 6.2800E-07 4.0190E-07 1.7859E-07 1.0045E-07 4.4661E-08 2.5115E-08 1.6074E-08 1.1163E-08 6.2800E-09 4.0190E-09 1.7860E-09 1.0045E-09 4.4661E-10 2.5115E-10 1.6074E-10 1.1163E-10 6.2800E-11 4.0190E-11 1.7860E-11 1.0045E-11 4.4661E-12 2.5115E-12 1.6074E-12 1.1163E-12 6.2800E-13 4.0190E-13 INCOHERENT SCATTERING CROSS SECTION 4.5195E-03 5.1645E+17 6.8013E-03 5.0454E-03 5.0454E-03 5.6928E-03 6.4503E-03 6.4503E-03 7.4690E-03 7.4715E-03 7.4715E-03 1.0380E-02 1.6028E-02 1.9569E-02 1.9569E-02 2.0037E-02 2.0512E-02 2.0512E-02 2.1264E-02 2.3395E-02 2.3395E-02 2.6014E-02 2.7640E-02 2.7640E-02 2.8385E-02 2.9139E-02 2.9139E-02 3.0282E-02 3.7777E-02 4.4382E-02 5.7669E-02 6.2927E-02 6.2927E-02 6.7068E-02 6.9507E-02 6.9507E-02 7.0105E-02 7.0701E-02 7.0701E-02 7.9288E-02 8.6833E-02 9.1508E-02 9.4251E-02 9.6436E-02 9.6411E-02 9.5445E-02 9.5445E-02 9.2854E-02 8.8053E-02 8.3396E-02 7.9186E-02 7.5450E-02 7.2124E-02 6.9148E-02 6.6484E-02 6.4090E-02 6.1911E-02 5.9909E-02 5.6355E-02 5.4772E-02 5.3301E-02 5.0643E-02 4.9438E-02 4.8929E-02 4.4331E-02 4.3465E-02 4.1851E-02 4.0368E-02 3.8993E-02 3.6554E-02 3.4500E-02 3.4093E-02 3.2724E-02 2.9666E-02 2.7183E-02 2.2697E-02 1.9607E-02 1.7334E-02 1.5583E-02 1.4183E-02 1.3038E-02 1.2082E-02 1.1270E-02 1.0568E-02 9.9561E-03 9.4201E-03 8.9425E-03 8.5157E-03 7.7840E-03 7.1794E-03 6.6687E-03 6.2318E-03 5.8507E-03 5.5204E-03 5.2257E-03 4.1537E-03 3.4677E-03 2.9876E-03 2.3558E-03 1.9554E-03 1.3924E-03 1.0919E-03 7.7383E-04 6.0616E-04 5.0174E-04 4.2959E-04 3.3560E-04 2.7589E-04 1.9275E-04 1.4918E-04 1.0373E-04 8.0076E-05 6.5468E-05 5.5509E-05 4.2782E-05 3.4931E-05 2.4134E-05 1.8553E-05 1.2796E-05 9.8240E-06 7.9999E-06 6.7627E-06 5.1851E-06 4.2172E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.9380E+03 4.1656E+05 2.3799E+04 5.9828E+03 6.3664E+03 5.2741E+03 4.3696E+03 4.4280E+03 3.4754E+03 3.4728E+03 3.5389E+03 1.9490E+03 7.9771E+02 5.0428E+02 1.2055E+03 1.1338E+03 1.0667E+03 1.5118E+03 1.3800E+03 1.0695E+03 1.2464E+03 9.2321E+02 7.7078E+02 8.1803E+02 7.5527E+02 6.9736E+02 7.2708E+02 6.4858E+02 3.1807E+02 1.8175E+02 6.4477E+01 4.2578E+01 1.0136E+02 7.1616E+01 5.8228E+01 8.2946E+01 7.8957E+01 7.5147E+01 8.6706E+01 4.1435E+01 1.9590E+01 1.0876E+01 6.6941E+00 3.0943E+00 1.6963E+00 1.0685E+00 4.4788E+00 2.4724E+00 1.1864E+00 6.7180E-01 4.2451E-01 2.9001E-01 2.0987E-01 1.5870E-01 1.2420E-01 9.9910E-02 8.2210E-02 6.8936E-02 5.0666E-02 4.4204E-02 3.8936E-02 3.1002E-02 2.7996E-02 2.6827E-02 1.8131E-02 1.6824E-02 1.4636E-02 1.2890E-02 1.1474E-02 9.3281E-03 7.7865E-03 7.5045E-03 6.6365E-03 5.0658E-03 4.0546E-03 2.6446E-03 1.9336E-03 1.5118E-03 1.2359E-03 1.0426E-03 8.9983E-04 7.9085E-04 7.0473E-04 6.3512E-04 5.7796E-04 5.2994E-04 4.8929E-04 4.5424E-04 3.9733E-04 3.5287E-04 3.1730E-04 2.8809E-04 2.6395E-04 2.4345E-04 2.2590E-04 1.6592E-04 1.3106E-04 1.0830E-04 8.0355E-05 6.3867E-05 4.2197E-05 3.1502E-05 2.0916E-05 1.5652E-05 1.2504E-05 1.0411E-05 7.7992E-06 6.2369E-06 4.1537E-06 3.1146E-06 2.0748E-06 1.5558E-06 1.2446E-06 1.0370E-06 7.7764E-07 6.2216E-07 4.1460E-07 3.1095E-07 2.0733E-07 1.5550E-07 1.2438E-07 1.0365E-07 7.7738E-08 6.2191E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.5957E-04 7.3299E-04 1.4357E-03 2.2765E-03 3.1733E-03 4.9536E-03 6.6509E-03 7.0193E-03 8.2825E-03 1.1206E-02 1.3769E-02 1.9244E-02 2.3814E-02 2.7716E-02 3.1197E-02 3.4322E-02 3.7192E-02 3.9860E-02 4.2324E-02 4.4611E-02 4.6745E-02 4.8752E-02 5.0632E-02 5.2410E-02 5.5585E-02 5.8431E-02 6.1022E-02 6.3385E-02 6.5544E-02 6.7526E-02 6.9355E-02 7.6798E-02 8.2311E-02 8.6605E-02 9.2905E-02 9.7351E-02 1.0436E-01 1.0853E-01 1.1338E-01 1.1618E-01 1.1800E-01 1.1933E-01 1.2105E-01 1.2217E-01 1.2377E-01 1.2469E-01 1.2558E-01 1.2619E-01 1.2649E-01 1.2672E-01 1.2702E-01 1.2723E-01 1.2746E-01 1.2761E-01 1.2773E-01 1.2784E-01 1.2789E-01 1.2791E-01 1.2794E-01 1.2796E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1048E-08 2.6979E-06 9.4963E-06 3.8691E-05 7.6925E-05 1.1788E-04 1.5855E-04 1.9783E-04 2.3532E-04 2.7081E-04 3.0435E-04 3.3585E-04 3.6557E-04 3.9377E-04 4.2019E-04 4.4534E-04 4.9183E-04 5.3401E-04 5.7237E-04 6.0768E-04 6.3994E-04 6.6992E-04 6.9761E-04 8.1168E-04 8.9704E-04 9.6411E-04 1.0645E-03 1.1364E-03 1.2545E-03 1.3274E-03 1.4161E-03 1.4686E-03 1.5047E-03 1.5309E-03 1.5670E-03 1.5908E-03 1.6267E-03 1.6467E-03 1.6688E-03 1.6820E-03 1.6899E-03 1.6955E-03 1.7029E-03 1.7077E-03 1.7141E-03 1.7179E-03 1.7214E-03 1.7237E-03 1.7250E-03 1.7260E-03 1.7268E-03 1.7275E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Cl.mat0000644000276300001750000001666213136054446020330 0ustar solebliss00000000000000Chlorine 1 17 1.000000 2 6 92 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.8224E-03 2.8224E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 3.0338E+00 5.5812E+01 3.6499E+00 2.7960E+00 2.5310E+00 2.1165E+00 2.1165E+00 2.0384E+00 1.6616E+00 1.3922E+00 1.1964E+00 9.2746E-01 7.4146E-01 4.4861E-01 2.9556E-01 1.5831E-01 1.0005E-01 6.9118E-02 5.0518E-02 3.0219E-02 2.0044E-02 9.3442E-03 5.3779E-03 3.4846E-03 2.4375E-03 1.7991E-03 1.3817E-03 1.0940E-03 8.8754E-04 7.3436E-04 6.1763E-04 5.2665E-04 3.9602E-04 3.4822E-04 3.0858E-04 2.4713E-04 2.2303E-04 2.1352E-04 1.4286E-04 1.3210E-04 1.1391E-04 9.9235E-05 8.7222E-05 6.8925E-05 5.5834E-05 5.3456E-05 4.6145E-05 3.3039E-05 2.4817E-05 1.3965E-05 8.9382E-06 6.2068E-06 4.5608E-06 3.4907E-06 2.7586E-06 2.2337E-06 1.8464E-06 1.5517E-06 1.3222E-06 1.1401E-06 9.9319E-07 8.7293E-07 6.8965E-07 5.5868E-07 4.6169E-07 3.8797E-07 3.3056E-07 2.8503E-07 2.4834E-07 1.3966E-07 8.9382E-08 6.2068E-08 3.4907E-08 2.2337E-08 9.9302E-09 5.5851E-09 2.4834E-09 1.3965E-09 8.9382E-10 6.2068E-10 3.4907E-10 2.2337E-10 9.9302E-11 5.5851E-11 2.4834E-11 1.3965E-11 8.9382E-12 6.2068E-12 3.4907E-12 2.2337E-12 9.9302E-13 5.5851E-13 2.4834E-13 1.3965E-13 8.9382E-14 6.2068E-14 3.4907E-14 2.2337E-14 INCOHERENT SCATTERING CROSS SECTION 8.5560E-03 6.5596E-03 2.8536E-03 1.6912E-02 2.5853E-02 3.9731E-02 3.9731E-02 4.2483E-02 5.6208E-02 6.7096E-02 7.5810E-02 8.9348E-02 9.9999E-02 1.1907E-01 1.3051E-01 1.4106E-01 1.4464E-01 1.4539E-01 1.4466E-01 1.4114E-01 1.3662E-01 1.2534E-01 1.1578E-01 1.0790E-01 1.0134E-01 9.5801E-02 9.1047E-02 8.6912E-02 8.3267E-02 8.0021E-02 7.7101E-02 7.4456E-02 6.9831E-02 6.7793E-02 6.5906E-02 6.2515E-02 6.0981E-02 6.0336E-02 5.4543E-02 5.3455E-02 5.1433E-02 4.9583E-02 4.7881E-02 4.4868E-02 4.2313E-02 4.1804E-02 4.0098E-02 3.6336E-02 3.3293E-02 2.7773E-02 2.3985E-02 2.1199E-02 1.9059E-02 1.7343E-02 1.5943E-02 1.4771E-02 1.3778E-02 1.2922E-02 1.2172E-02 1.1517E-02 1.0934E-02 1.0413E-02 9.5158E-03 8.7752E-03 8.1501E-03 7.6167E-03 7.1530E-03 6.7470E-03 6.3886E-03 5.0772E-03 4.2381E-03 3.6521E-03 2.8792E-03 2.3900E-03 1.7020E-03 1.3345E-03 9.4580E-04 7.4078E-04 6.1321E-04 5.2505E-04 4.1005E-04 3.3735E-04 2.3560E-04 1.8226E-04 1.2679E-04 9.7859E-05 8.0006E-05 6.7844E-05 5.2284E-05 4.2687E-05 2.9488E-05 2.2677E-05 1.5639E-05 1.2006E-05 9.7774E-06 8.2656E-06 6.3376E-06 5.1554E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 2.8282E+03 1.2035E+06 1.7498E+04 9.7434E+02 4.4946E+02 1.7530E+02 1.6344E+03 1.4707E+03 7.0205E+02 3.8865E+02 2.3713E+02 1.0649E+02 5.6412E+01 1.7275E+01 7.3143E+00 2.1267E+00 8.7191E-01 4.3383E-01 2.4426E-01 9.8249E-02 4.8343E-02 1.3360E-02 5.4187E-03 2.7254E-03 1.5750E-03 1.0027E-03 6.8523E-04 4.9439E-04 3.7268E-04 2.9108E-04 2.3339E-04 1.9100E-04 1.3598E-04 1.1828E-04 1.0468E-04 8.3170E-05 7.3568E-05 6.9559E-05 4.7120E-05 4.4010E-05 3.8546E-05 3.4075E-05 3.0471E-05 2.5063E-05 2.1182E-05 2.0469E-05 1.8267E-05 1.4258E-05 1.1642E-05 7.9072E-06 5.9537E-06 4.7613E-06 3.9629E-06 3.3905E-06 2.9607E-06 2.6278E-06 2.3611E-06 2.1420E-06 1.9619E-06 1.8091E-06 1.6774E-06 1.5639E-06 1.3774E-06 1.2307E-06 1.1119E-06 1.0143E-06 9.3221E-07 8.6240E-07 8.0227E-07 5.9503E-07 4.7273E-07 3.9222E-07 2.9251E-07 2.3322E-07 1.5473E-07 1.1578E-07 7.6999E-08 5.7686E-08 4.6118E-08 3.8406E-08 2.8792E-08 2.3034E-08 1.5344E-08 1.1505E-08 7.6677E-09 5.7499E-09 4.5999E-09 3.8338E-09 2.8741E-09 2.3000E-09 1.5332E-09 1.1498E-09 7.6660E-10 5.7482E-10 4.5982E-10 3.8321E-10 2.8741E-10 2.3000E-10 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 4.2415E-05 6.8165E-05 1.3723E-04 2.2711E-04 3.3468E-04 5.9156E-04 8.8788E-04 9.5667E-04 1.2060E-03 1.8601E-03 2.5089E-03 4.0428E-03 5.4068E-03 6.6247E-03 7.7101E-03 8.6851E-03 9.5701E-03 1.0372E-02 1.1099E-02 1.1766E-02 1.2385E-02 1.2961E-02 1.3497E-02 1.4002E-02 1.4924E-02 1.5750E-02 1.6495E-02 1.7173E-02 1.7802E-02 1.8362E-02 1.8889E-02 2.1080E-02 2.2711E-02 2.3985E-02 2.5853E-02 2.7212E-02 2.9420E-02 3.0779E-02 3.2376E-02 3.3293E-02 3.3922E-02 3.4363E-02 3.4958E-02 3.5349E-02 3.5909E-02 3.6215E-02 3.6538E-02 3.6725E-02 3.6843E-02 3.6911E-02 3.7030E-02 3.7081E-02 3.7183E-02 3.7234E-02 3.7285E-02 3.7302E-02 3.7319E-02 3.7336E-02 3.7353E-02 3.7353E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.1140E-07 3.3059E-06 1.1651E-05 4.7579E-05 9.4784E-05 1.4556E-04 1.9619E-04 2.4545E-04 2.9251E-04 3.3735E-04 3.7999E-04 4.2007E-04 4.5812E-04 4.9430E-04 5.2862E-04 5.6123E-04 6.2204E-04 6.7759E-04 7.2855E-04 7.7560E-04 8.1925E-04 8.5985E-04 8.9773E-04 1.0564E-03 1.1787E-03 1.2769E-03 1.4272E-03 1.5388E-03 1.7275E-03 1.8498E-03 2.0044E-03 2.0978E-03 2.1624E-03 2.2116E-03 2.2779E-03 2.3220E-03 2.3900E-03 2.4274E-03 2.4698E-03 2.4953E-03 2.5106E-03 2.5208E-03 2.5344E-03 2.5429E-03 2.5565E-03 2.5632E-03 2.5700E-03 2.5734E-03 2.5768E-03 2.5785E-03 2.5802E-03 2.5819E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Ca.mat0000644000276300001750000001666213136054446020315 0ustar solebliss00000000000000Calcium 1 20 1.000000 2 8 90 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 4.0381E-03 4.0381E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 3.5822E+00 3.3979E+01 4.3461E+00 3.2591E+00 2.9631E+00 2.4628E+00 2.0511E+00 2.0360E+00 2.0360E+00 1.7205E+00 1.4647E+00 1.1163E+00 8.9540E-01 5.6708E-01 3.8226E-01 2.0586E-01 1.3022E-01 9.0397E-02 6.6475E-02 4.0120E-02 2.6731E-02 1.2523E-02 7.2275E-03 4.6925E-03 3.2877E-03 2.4298E-03 1.8677E-03 1.4796E-03 1.2007E-03 9.9379E-04 8.3605E-04 7.1307E-04 5.3630E-04 4.7152E-04 4.1775E-04 3.3461E-04 3.0217E-04 2.8940E-04 1.9354E-04 1.7894E-04 1.5433E-04 1.3447E-04 1.1820E-04 9.3395E-05 7.5671E-05 7.2456E-05 6.2561E-05 4.4794E-05 3.3643E-05 1.8933E-05 1.2114E-05 8.4131E-06 6.1802E-06 4.7317E-06 3.7385E-06 3.0293E-06 2.5033E-06 2.1036E-06 1.7926E-06 1.5447E-06 1.3460E-06 1.1832E-06 9.3477E-07 7.5716E-07 6.2583E-07 5.2576E-07 4.4808E-07 3.8632E-07 3.3658E-07 1.8933E-07 1.2115E-07 8.4131E-08 4.7317E-08 3.0293E-08 1.3460E-08 7.5716E-09 3.3643E-09 1.8933E-09 1.2114E-09 8.4131E-10 4.7317E-10 3.0277E-10 1.3460E-10 7.5716E-11 3.3643E-11 1.8933E-11 1.2114E-11 8.4131E-12 4.7317E-12 3.0277E-12 1.3460E-12 7.5716E-13 3.3643E-13 1.8933E-13 1.2114E-13 8.4131E-14 4.7317E-14 3.0277E-14 INCOHERENT SCATTERING CROSS SECTION 1.4942E-02 4.0537E-02 7.3302E-03 2.3561E-02 3.0999E-02 4.4808E-02 5.7159E-02 5.7595E-02 5.7595E-02 6.7948E-02 7.7219E-02 9.1734E-02 1.0239E-01 1.2063E-01 1.3224E-01 1.4389E-01 1.4805E-01 1.4909E-01 1.4859E-01 1.4541E-01 1.4106E-01 1.2984E-01 1.2012E-01 1.1204E-01 1.0529E-01 9.9565E-02 9.4649E-02 9.0370E-02 8.6595E-02 8.3225E-02 8.0194E-02 7.7448E-02 7.2642E-02 7.0517E-02 6.8547E-02 6.5020E-02 6.3440E-02 6.2779E-02 5.6753E-02 5.5615E-02 5.3505E-02 5.1584E-02 4.9825E-02 4.6707E-02 4.4026E-02 4.3485E-02 4.1689E-02 3.7787E-02 3.4650E-02 2.8910E-02 2.4958E-02 2.2073E-02 1.9834E-02 1.8046E-02 1.6589E-02 1.5372E-02 1.4339E-02 1.3447E-02 1.2668E-02 1.1985E-02 1.1378E-02 1.0835E-02 9.9037E-03 9.1328E-03 8.4822E-03 7.9262E-03 7.4424E-03 7.0217E-03 6.6490E-03 5.2832E-03 4.4101E-03 3.8001E-03 2.9962E-03 2.4868E-03 1.7716E-03 1.3887E-03 9.8436E-04 7.7084E-04 6.3816E-04 5.4635E-04 4.2674E-04 3.5101E-04 2.4522E-04 1.8978E-04 1.3194E-04 1.0185E-04 8.3274E-05 7.0607E-05 5.4409E-05 4.4417E-05 3.0698E-05 2.3606E-05 1.6273E-05 1.2496E-05 1.0176E-05 8.6009E-06 6.5949E-06 5.3658E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 4.8624E+03 1.8365E+06 2.9019E+04 1.7100E+03 7.9683E+02 2.6506E+02 1.1973E+02 1.1665E+02 1.0213E+03 6.0074E+02 3.7159E+02 1.7145E+02 9.2410E+01 2.9105E+01 1.2545E+01 3.7295E+00 1.5522E+00 7.8000E-01 4.4282E-01 1.8001E-01 8.9315E-02 2.5003E-02 1.0222E-02 5.1698E-03 2.9992E-03 1.9148E-03 1.3116E-03 9.4818E-04 7.1569E-04 5.5934E-04 4.4883E-04 3.6776E-04 2.6222E-04 2.2795E-04 2.0143E-04 1.5986E-04 1.4171E-04 1.3420E-04 9.0862E-05 8.4817E-05 7.4269E-05 6.5649E-05 5.8671E-05 4.8179E-05 4.0691E-05 3.9323E-05 3.5092E-05 2.7336E-05 2.2269E-05 1.5071E-05 1.1328E-05 9.0472E-06 7.5190E-06 6.4281E-06 5.6092E-06 4.9736E-06 4.4672E-06 4.0540E-06 3.7099E-06 3.4184E-06 3.1705E-06 2.9556E-06 2.6010E-06 2.3230E-06 2.0991E-06 1.9143E-06 1.7580E-06 1.6273E-06 1.5131E-06 1.1215E-06 8.9089E-07 7.3883E-07 5.5085E-07 4.3906E-07 2.9135E-07 2.1788E-07 1.4494E-07 1.0858E-07 8.6805E-08 7.2290E-08 5.4184E-08 4.3335E-08 2.8880E-08 2.1653E-08 1.4431E-08 1.0822E-08 8.6565E-09 7.2140E-09 5.4094E-09 4.3275E-09 2.8850E-09 2.1637E-09 1.4425E-09 1.0819E-09 8.6550E-10 7.2125E-10 5.4094E-10 4.3275E-10 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 5.3628E-05 8.5752E-05 1.7133E-04 2.8219E-04 4.1485E-04 7.3262E-04 1.1004E-03 1.1857E-03 1.4940E-03 2.2955E-03 3.0848E-03 4.9586E-03 6.6190E-03 8.1035E-03 9.4228E-03 1.0611E-02 1.1686E-02 1.2661E-02 1.3546E-02 1.4356E-02 1.5101E-02 1.5807E-02 1.6454E-02 1.7070E-02 1.8197E-02 1.9188E-02 2.0090E-02 2.0916E-02 2.1668E-02 2.2374E-02 2.3005E-02 2.5634E-02 2.7588E-02 2.9120E-02 3.1404E-02 3.3042E-02 3.5702E-02 3.7325E-02 3.9233E-02 4.0360E-02 4.1111E-02 4.1652E-02 4.2373E-02 4.2839E-02 4.3530E-02 4.3906E-02 4.4312E-02 4.4537E-02 4.4672E-02 4.4763E-02 4.4898E-02 4.4973E-02 4.5093E-02 4.5153E-02 4.5213E-02 4.5243E-02 4.5258E-02 4.5273E-02 4.5304E-02 4.5304E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.1597E-07 3.4411E-06 1.2126E-05 4.9511E-05 9.8631E-05 1.5146E-04 2.0420E-04 2.5529E-04 3.0428E-04 3.5086E-04 3.9518E-04 4.3681E-04 4.7633E-04 5.1389E-04 5.4950E-04 5.8346E-04 6.4642E-04 7.0397E-04 7.5686E-04 8.0555E-04 8.5077E-04 8.9270E-04 9.3192E-04 1.0957E-03 1.2218E-03 1.3229E-03 1.4777E-03 1.5928E-03 1.7866E-03 1.9113E-03 2.0691E-03 2.1653E-03 2.2329E-03 2.2825E-03 2.3531E-03 2.4012E-03 2.4733E-03 2.5154E-03 2.5619E-03 2.5890E-03 2.6055E-03 2.6175E-03 2.6341E-03 2.6446E-03 2.6581E-03 2.6671E-03 2.6746E-03 2.6791E-03 2.6821E-03 2.6837E-03 2.6867E-03 2.6882E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/At.mat0000644000276300001750000002206013136054446020323 0ustar solebliss00000000000000At 1 85 1.000000 11 4 4 3 3 3 3 6 3 3 8 79 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.0420E-03 1.0420E-03 1.5000E-03 2.0000E-03 2.7867E-03 2.7867E-03 2.8470E-03 2.9087E-03 2.9087E-03 3.0000E-03 3.4260E-03 3.4260E-03 4.0000E-03 4.0080E-03 4.0080E-03 4.1596E-03 4.3170E-03 4.3170E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.4213E-02 1.4213E-02 1.5000E-02 1.6785E-02 1.6785E-02 1.7135E-02 1.7493E-02 1.7493E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 9.5730E-02 9.5730E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.3244E+01 1.0357E+04 1.6686E+01 1.3201E+01 1.3201E+01 1.2682E+01 1.2048E+01 1.1047E+01 1.1047E+01 1.0972E+01 1.0895E+01 1.0895E+01 1.0780E+01 1.0281E+01 1.0281E+01 9.6417E+00 9.6331E+00 9.6331E+00 9.4744E+00 9.3148E+00 9.3148E+00 8.6466E+00 7.7805E+00 6.3666E+00 5.2969E+00 3.7598E+00 3.7598E+00 3.5447E+00 3.1202E+00 3.1202E+00 3.0422E+00 2.9654E+00 2.9654E+00 2.5194E+00 1.4821E+00 9.9343E-01 7.0980E-01 5.3170E-01 3.3382E-01 2.4867E-01 2.4867E-01 2.3115E-01 1.1443E-01 6.8341E-02 4.5609E-02 3.2665E-02 2.4558E-02 1.9134E-02 1.5325E-02 1.2547E-02 1.0460E-02 8.8531E-03 7.5897E-03 5.7578E-03 5.0818E-03 4.5187E-03 3.6398E-03 3.2923E-03 3.1546E-03 2.1262E-03 1.9686E-03 1.7014E-03 1.4850E-03 1.3074E-03 1.0360E-03 8.4086E-04 8.0530E-04 6.9589E-04 4.9935E-04 3.7569E-04 2.1182E-04 1.3571E-04 9.4295E-05 6.9288E-05 5.3055E-05 4.1928E-05 3.3984E-05 2.8079E-05 2.3597E-05 2.0107E-05 1.7336E-05 1.5102E-05 1.3275E-05 1.0488E-05 8.4975E-06 7.0205E-06 5.8992E-06 5.0274E-06 4.3362E-06 3.7770E-06 2.1242E-06 1.3597E-06 9.4410E-07 5.3113E-07 3.3984E-07 1.5108E-07 8.4975E-08 3.7770E-08 2.1242E-08 1.3597E-08 9.4410E-09 5.3113E-09 3.3984E-09 1.5108E-09 8.4975E-10 3.7770E-10 2.1242E-10 1.3597E-10 9.4410E-11 5.3113E-11 3.3984E-11 1.5108E-11 8.4975E-12 3.7770E-12 2.1242E-12 1.3597E-12 9.4410E-13 5.3113E-13 3.3984E-13 INCOHERENT SCATTERING CROSS SECTION 3.4357E-03 9.3535E+03 1.7978E-03 3.6795E-03 3.6795E-03 6.5387E-03 9.7765E-03 1.4718E-02 1.4718E-02 1.5082E-02 1.5452E-02 1.5452E-02 1.5994E-02 1.8426E-02 1.8426E-02 2.1520E-02 2.1561E-02 2.1561E-02 2.2323E-02 2.3112E-02 2.3112E-02 2.6404E-02 3.0887E-02 3.9089E-02 4.6373E-02 5.8476E-02 5.8476E-02 6.0368E-02 6.4240E-02 6.4240E-02 6.4915E-02 6.5588E-02 6.5588E-02 7.0148E-02 8.3397E-02 9.1456E-02 9.6188E-02 9.8884E-02 1.0092E-01 1.0086E-01 1.0086E-01 1.0069E-01 9.6676E-02 9.1485E-02 8.6508E-02 8.2049E-02 7.8120E-02 7.4650E-02 7.1566E-02 6.8800E-02 6.6297E-02 6.4011E-02 6.1910E-02 5.8210E-02 5.6583E-02 5.5083E-02 5.2351E-02 5.1077E-02 5.0532E-02 4.5771E-02 4.4877E-02 4.3204E-02 4.1670E-02 4.0259E-02 3.7759E-02 3.5619E-02 3.5189E-02 3.3753E-02 3.0605E-02 2.8062E-02 2.3422E-02 2.0233E-02 1.7887E-02 1.6077E-02 1.4635E-02 1.3453E-02 1.2467E-02 1.1626E-02 1.0904E-02 1.0273E-02 9.7192E-03 9.2288E-03 8.7871E-03 8.0329E-03 7.4077E-03 6.8800E-03 6.4297E-03 6.0368E-03 5.6956E-03 5.3916E-03 4.2846E-03 3.5762E-03 3.0829E-03 2.4308E-03 2.0175E-03 1.4368E-03 1.1265E-03 7.9841E-04 6.2519E-04 5.1765E-04 4.4308E-04 3.4615E-04 2.8478E-04 1.9889E-04 1.5392E-04 1.0703E-04 8.2623E-05 6.7538E-05 5.7271E-05 4.4136E-05 3.6020E-05 2.4899E-05 1.9143E-05 1.3201E-05 1.0135E-05 8.2537E-06 6.9775E-06 5.3486E-06 4.3534E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 5.8533E+03 4.1510E+05 2.1115E+04 5.4260E+03 5.5407E+03 2.7182E+03 1.4824E+03 7.1152E+02 2.4208E+03 2.0139E+03 1.6757E+03 2.7830E+03 2.2387E+03 1.6037E+03 1.8558E+03 1.2659E+03 1.2596E+03 1.3358E+03 1.2213E+03 1.1167E+03 1.1655E+03 8.1648E+02 5.2195E+02 2.5369E+02 1.4359E+02 5.7816E+01 1.4225E+02 1.2424E+02 9.0969E+01 1.2707E+02 1.2090E+02 1.1503E+02 1.3298E+02 9.4439E+01 3.2866E+01 1.5294E+01 8.3885E+00 5.1163E+00 2.3339E+00 1.4270E+00 6.5445E+00 5.8418E+00 2.0379E+00 9.5787E-01 5.3474E-01 3.3439E-01 2.2648E-01 1.6269E-01 1.2226E-01 9.5184E-02 7.6232E-02 6.2491E-02 5.2229E-02 3.8209E-02 3.3296E-02 2.9311E-02 2.3304E-02 2.1007E-02 2.0109E-02 1.3571E-02 1.2598E-02 1.0967E-02 9.6618E-03 8.6006E-03 6.9918E-03 5.8418E-03 5.6325E-03 4.9862E-03 3.8103E-03 3.0514E-03 1.9952E-03 1.4612E-03 1.1443E-03 9.3664E-04 7.9096E-04 6.8312E-04 6.0082E-04 5.3572E-04 4.8323E-04 4.3993E-04 4.0351E-04 3.7253E-04 3.4615E-04 3.0285E-04 2.6909E-04 2.4205E-04 2.1994E-04 2.0150E-04 1.8589E-04 1.7250E-04 1.2682E-04 1.0023E-04 8.2824E-05 6.1487E-05 4.8868E-05 3.2321E-05 2.4133E-05 1.6020E-05 1.1991E-05 9.5787E-06 7.9755E-06 5.9766E-06 4.7779E-06 3.1833E-06 2.3858E-06 1.5897E-06 1.1922E-06 9.5356E-07 7.9440E-07 5.9594E-07 4.7664E-07 3.1776E-07 2.3829E-07 1.5885E-07 1.1913E-07 9.5299E-08 7.9411E-08 5.9565E-08 4.7664E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.1068E-04 6.4886E-04 1.2549E-03 1.9788E-03 2.7596E-03 4.3514E-03 5.9135E-03 6.2548E-03 7.4358E-03 1.0234E-02 1.2745E-02 1.8165E-02 2.2699E-02 2.6608E-02 3.0055E-02 3.3152E-02 3.5963E-02 3.8573E-02 4.0982E-02 4.3247E-02 4.5341E-02 4.7291E-02 4.9126E-02 5.0847E-02 5.3944E-02 5.6698E-02 5.9221E-02 6.1487E-02 6.3580E-02 6.5502E-02 6.7280E-02 7.4478E-02 7.9841E-02 8.3971E-02 9.0079E-02 9.4353E-02 1.0115E-01 1.0516E-01 1.0987E-01 1.1253E-01 1.1428E-01 1.1555E-01 1.1721E-01 1.1830E-01 1.1985E-01 1.2071E-01 1.2163E-01 1.2211E-01 1.2243E-01 1.2266E-01 1.2295E-01 1.2312E-01 1.2338E-01 1.2349E-01 1.2363E-01 1.2372E-01 1.2375E-01 1.2378E-01 1.2383E-01 1.2386E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3948E-08 2.7844E-06 9.8023E-06 3.9949E-05 7.9440E-05 1.2177E-04 1.6381E-04 2.0445E-04 2.4325E-04 2.8002E-04 3.1460E-04 3.4730E-04 3.7827E-04 4.0724E-04 4.3477E-04 4.6086E-04 5.0933E-04 5.5292E-04 5.9279E-04 6.2950E-04 6.6305E-04 6.9431E-04 7.2299E-04 8.4172E-04 9.3062E-04 1.0006E-03 1.1050E-03 1.1804E-03 1.3032E-03 1.3794E-03 1.4715E-03 1.5263E-03 1.5633E-03 1.5905E-03 1.6275E-03 1.6522E-03 1.6886E-03 1.7090E-03 1.7310E-03 1.7442E-03 1.7523E-03 1.7577E-03 1.7652E-03 1.7698E-03 1.7761E-03 1.7798E-03 1.7832E-03 1.7855E-03 1.7870E-03 1.7875E-03 1.7887E-03 1.7893E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Hg.mat0000644000276300001750000002205213136054446020316 0ustar solebliss00000000000000Hg 1 80 1.000000 10 6 3 3 3 3 7 3 3 9 79 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.2949E-03 2.2949E-03 2.3395E-03 2.3849E-03 2.3849E-03 2.6058E-03 2.8471E-03 2.8471E-03 3.0000E-03 3.2785E-03 3.2785E-03 3.4171E-03 3.5616E-03 3.5616E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.2284E-02 1.2284E-02 1.3211E-02 1.4209E-02 1.4209E-02 1.4521E-02 1.4839E-02 1.4839E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 8.3102E-02 8.3102E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.2342E+01 4.7727E+01 1.3465E+01 1.1874E+01 1.1324E+01 1.0976E+01 1.0976E+01 1.0924E+01 1.0871E+01 1.0871E+01 1.0619E+01 1.0343E+01 1.0343E+01 1.0165E+01 9.8503E+00 9.8503E+00 9.6952E+00 9.5350E+00 9.5350E+00 9.0637E+00 8.0880E+00 7.2413E+00 5.8933E+00 4.8816E+00 3.9989E+00 3.9989E+00 3.7051E+00 3.4225E+00 3.4225E+00 3.3406E+00 3.2604E+00 3.2604E+00 3.2214E+00 2.2715E+00 1.3396E+00 8.9256E-01 6.3347E-01 4.7405E-01 2.9800E-01 2.7990E-01 2.7990E-01 2.0562E-01 1.0117E-01 6.0314E-02 4.0211E-02 2.8758E-02 2.1583E-02 1.6788E-02 1.3428E-02 1.0982E-02 9.1475E-03 7.7367E-03 6.6289E-03 5.0237E-03 4.4313E-03 3.9377E-03 3.1692E-03 2.8668E-03 2.7473E-03 1.8500E-03 1.7124E-03 1.4796E-03 1.2910E-03 1.1359E-03 8.9916E-04 7.3014E-04 6.9952E-04 6.0495E-04 4.3389E-04 3.2604E-04 1.8371E-04 1.1766E-04 8.1750E-05 6.0074E-05 4.5994E-05 3.6357E-05 2.9452E-05 2.4342E-05 2.0454E-05 1.7428E-05 1.5029E-05 1.3093E-05 1.1507E-05 9.0907E-06 7.3644E-06 6.0855E-06 5.1158E-06 4.3592E-06 3.7588E-06 3.2724E-06 1.8413E-06 1.1784E-06 8.1840E-07 4.6024E-07 2.9461E-07 1.3093E-07 7.3644E-08 3.2724E-08 1.8413E-08 1.1784E-08 8.1840E-09 4.6024E-09 2.9461E-09 1.3093E-09 7.3644E-10 3.2724E-10 1.8413E-10 1.1784E-10 8.1840E-11 4.6024E-11 2.9461E-11 1.3093E-11 7.3644E-12 3.2724E-12 1.8413E-12 1.1784E-12 8.1840E-13 4.6024E-13 2.9461E-13 INCOHERENT SCATTERING CROSS SECTION 3.5636E-03 5.9681E-03 1.3841E-03 6.4638E-03 9.3219E-03 1.0982E-02 1.0982E-02 1.1230E-02 1.1480E-02 1.1480E-02 1.2680E-02 1.3975E-02 1.3975E-02 1.4798E-02 1.6272E-02 1.6272E-02 1.6999E-02 1.7752E-02 1.7752E-02 2.0007E-02 2.4966E-02 2.9713E-02 3.8458E-02 4.5904E-02 5.3019E-02 5.3019E-02 5.5468E-02 5.7973E-02 5.7973E-02 5.8747E-02 5.9504E-02 5.9504E-02 5.9864E-02 6.9891E-02 8.3491E-02 9.1447E-02 9.6011E-02 9.8563E-02 1.0036E-01 1.0042E-01 1.0042E-01 1.0003E-01 9.5801E-02 9.0517E-02 8.5534E-02 8.1090E-02 7.7169E-02 7.3704E-02 7.0627E-02 6.7880E-02 6.5411E-02 6.3167E-02 6.1105E-02 5.7444E-02 5.5811E-02 5.4292E-02 5.1567E-02 5.0347E-02 4.9837E-02 4.5123E-02 4.4232E-02 4.2580E-02 4.1070E-02 3.9676E-02 3.7201E-02 3.5096E-02 3.4676E-02 3.3269E-02 3.0164E-02 2.7650E-02 2.3078E-02 1.9938E-02 1.7623E-02 1.5843E-02 1.4420E-02 1.3255E-02 1.2282E-02 1.1456E-02 1.0745E-02 1.0123E-02 9.5771E-03 9.0907E-03 8.6584E-03 7.9138E-03 7.2984E-03 6.7790E-03 6.3347E-03 5.9474E-03 5.6111E-03 5.3139E-03 4.2211E-03 3.5246E-03 3.0382E-03 2.3949E-03 1.9878E-03 1.4155E-03 1.1099E-03 7.8658E-04 6.1605E-04 5.1008E-04 4.3682E-04 3.4105E-04 2.8059E-04 1.9595E-04 1.5167E-04 1.0544E-04 8.1390E-05 6.6559E-05 5.6442E-05 4.3472E-05 3.5486E-05 2.4534E-05 1.8860E-05 1.3009E-05 9.9854E-06 8.1330E-06 6.8751E-06 5.2719E-06 4.2872E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 4.8186E+03 4.5664E+05 1.8964E+04 2.1619E+03 1.1724E+03 8.6644E+02 9.7812E+02 1.4392E+03 2.1169E+03 2.2835E+03 2.1730E+03 2.0679E+03 2.3883E+03 2.1073E+03 1.6941E+03 1.7980E+03 1.6296E+03 1.4771E+03 1.5398E+03 1.1697E+03 6.7880E+02 4.3142E+02 2.0811E+02 1.1718E+02 6.8601E+01 1.7392E+02 1.4290E+02 1.1742E+02 1.6284E+02 1.5457E+02 1.4675E+02 1.6981E+02 1.6479E+02 7.8898E+01 2.6987E+01 1.2435E+01 6.7730E+00 4.1100E+00 1.8605E+00 1.6746E+00 8.0850E+00 4.9717E+00 1.7119E+00 7.9469E-01 4.4010E-01 2.7359E-01 1.8435E-01 1.3186E-01 9.8736E-02 7.6646E-02 6.1245E-02 5.0107E-02 4.1805E-02 3.0496E-02 2.6546E-02 2.3349E-02 1.8547E-02 1.6716E-02 1.6002E-02 1.0793E-02 1.0020E-02 8.7254E-03 7.6887E-03 6.8435E-03 5.5618E-03 4.6504E-03 4.4853E-03 3.9741E-03 3.0384E-03 2.4336E-03 1.5945E-03 1.1691E-03 9.1658E-04 7.5085E-04 6.3437E-04 5.4850E-04 4.8246E-04 4.3052E-04 3.8819E-04 3.5366E-04 3.2454E-04 2.9968E-04 2.7840E-04 2.4369E-04 2.1661E-04 1.9490E-04 1.7710E-04 1.6230E-04 1.4975E-04 1.3900E-04 1.0223E-04 8.0820E-05 6.6799E-05 4.9597E-05 3.9449E-05 2.6077E-05 1.9478E-05 1.2931E-05 9.6791E-06 7.7337E-06 6.4397E-06 4.8246E-06 3.8578E-06 2.5693E-06 1.9262E-06 1.2834E-06 9.6251E-07 7.6977E-07 6.4157E-07 4.8095E-07 3.8488E-07 2.5654E-07 1.9238E-07 1.2825E-07 9.6191E-08 7.6947E-08 6.4127E-08 4.8095E-08 3.8488E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 3.6567E-04 5.7480E-04 1.1042E-03 1.7368E-03 2.4241E-03 3.8489E-03 5.2719E-03 5.5841E-03 6.6704E-03 9.2803E-03 1.1655E-02 1.6824E-02 2.1154E-02 2.4882E-02 2.8167E-02 3.1133E-02 3.3805E-02 3.6297E-02 3.8578E-02 4.0710E-02 4.2691E-02 4.4553E-02 4.6294E-02 4.7915E-02 5.0857E-02 5.3469E-02 5.5811E-02 5.7973E-02 5.9954E-02 6.1755E-02 6.3437E-02 7.0222E-02 7.5265E-02 7.9198E-02 8.4963E-02 8.9016E-02 9.5410E-02 9.9193E-02 1.0361E-01 1.0613E-01 1.0778E-01 1.0895E-01 1.1051E-01 1.1153E-01 1.1300E-01 1.1378E-01 1.1465E-01 1.1510E-01 1.1541E-01 1.1562E-01 1.1586E-01 1.1604E-01 1.1628E-01 1.1640E-01 1.1652E-01 1.1658E-01 1.1664E-01 1.1667E-01 1.1670E-01 1.1673E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.2538E-08 2.7435E-06 9.6611E-06 3.9389E-05 7.8328E-05 1.2006E-04 1.6155E-04 2.0166E-04 2.3994E-04 2.7626E-04 3.1043E-04 3.4285E-04 3.7317E-04 4.0200E-04 4.2932E-04 4.5514E-04 5.0287E-04 5.4610E-04 5.8573E-04 6.2176E-04 6.5508E-04 6.8601E-04 7.1453E-04 8.3221E-04 9.2048E-04 9.8983E-04 1.0937E-03 1.1682E-03 1.2901E-03 1.3654E-03 1.4564E-03 1.5104E-03 1.5470E-03 1.5735E-03 1.6101E-03 1.6341E-03 1.6698E-03 1.6899E-03 1.7119E-03 1.7248E-03 1.7326E-03 1.7380E-03 1.7455E-03 1.7500E-03 1.7560E-03 1.7599E-03 1.7632E-03 1.7656E-03 1.7668E-03 1.7677E-03 1.7686E-03 1.7692E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Yb.mat0000644000276300001750000002174213136054446020337 0ustar solebliss00000000000000Yb 1 70 1.000000 10 5 3 3 3 3 7 3 3 8 80 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 1.5278E-03 1.5278E-03 1.5519E-03 1.5763E-03 1.5763E-03 1.7531E-03 1.9498E-03 1.9498E-03 2.0000E-03 2.1730E-03 2.1730E-03 2.2828E-03 2.3981E-03 2.3981E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 8.9436E-03 8.9436E-03 9.4467E-03 9.9782E-03 9.9782E-03 1.0000E-02 1.0486E-02 1.0486E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 6.1332E-02 6.1332E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.0848E+01 2.5463E+01 1.1806E+01 1.0392E+01 1.0368E+01 1.0368E+01 1.0344E+01 1.0319E+01 1.0319E+01 1.0146E+01 9.9603E+00 9.9603E+00 9.9116E+00 9.7341E+00 9.7341E+00 9.6224E+00 9.5079E+00 9.5079E+00 8.9267E+00 7.9627E+00 7.0857E+00 6.3096E+00 5.0602E+00 4.5869E+00 4.5869E+00 4.3428E+00 4.1345E+00 4.1345E+00 4.1275E+00 3.9396E+00 3.9396E+00 2.6589E+00 1.8814E+00 1.1112E+00 7.2806E-01 5.1472E-01 3.8595E-01 3.7273E-01 3.7273E-01 2.4222E-01 1.6576E-01 8.0915E-02 4.8166E-02 3.2011E-02 2.2809E-02 1.7061E-02 1.3235E-02 1.0564E-02 8.6274E-03 7.1786E-03 6.0660E-03 5.1927E-03 3.9283E-03 3.4625E-03 3.0748E-03 2.4719E-03 2.2350E-03 2.1414E-03 1.4394E-03 1.3320E-03 1.1503E-03 1.0033E-03 8.8278E-04 6.9863E-04 5.6658E-04 5.4256E-04 4.6869E-04 3.3604E-04 2.5263E-04 1.4227E-04 9.1112E-05 6.3270E-05 4.6495E-05 3.5602E-05 2.8134E-05 2.2792E-05 1.8835E-05 1.5828E-05 1.3486E-05 1.1631E-05 1.0131E-05 8.9058E-06 7.0370E-06 5.7006E-06 4.7087E-06 3.9570E-06 3.3723E-06 2.9077E-06 2.5329E-06 1.4248E-06 9.1181E-07 6.3340E-07 3.5637E-07 2.2795E-07 1.0131E-07 5.7006E-08 2.5329E-08 1.4248E-08 9.1181E-09 6.3305E-09 3.5602E-09 2.2795E-09 1.0131E-09 5.7006E-10 2.5329E-10 1.4248E-10 9.1181E-11 6.3305E-11 3.5602E-11 2.2795E-11 1.0131E-11 5.7006E-12 2.5329E-12 1.4248E-12 9.1181E-13 6.3305E-13 3.5602E-13 2.2795E-13 INCOHERENT SCATTERING CROSS SECTION 4.7540E-03 2.3793E-03 2.0793E-03 7.8966E-03 8.0706E-03 8.0706E-03 8.2209E-03 8.3734E-03 8.3734E-03 9.4690E-03 1.0688E-02 1.0688E-02 1.1001E-02 1.2076E-02 1.2076E-02 1.2758E-02 1.3475E-02 1.3475E-02 1.7192E-02 2.3042E-02 2.8451E-02 3.3386E-02 4.1971E-02 4.5521E-02 4.5521E-02 4.7077E-02 4.9140E-02 4.9140E-02 4.9245E-02 5.0846E-02 5.0846E-02 6.3722E-02 7.4581E-02 8.8641E-02 9.6227E-02 1.0040E-01 1.0263E-01 1.0284E-01 1.0284E-01 1.0402E-01 1.0333E-01 9.8350E-02 9.2643E-02 8.7371E-02 8.2724E-02 7.8667E-02 7.5103E-02 7.1945E-02 6.9117E-02 6.6562E-02 6.4244E-02 6.2131E-02 5.8396E-02 5.6727E-02 5.5170E-02 5.2374E-02 5.1124E-02 5.0602E-02 4.5799E-02 4.4891E-02 4.3213E-02 4.1693E-02 4.0306E-02 3.7830E-02 3.5637E-02 3.5185E-02 3.3701E-02 3.0562E-02 2.8057E-02 2.3415E-02 2.0223E-02 1.7878E-02 1.6072E-02 1.4627E-02 1.3447E-02 1.2459E-02 1.1620E-02 1.0900E-02 1.0267E-02 9.7132E-03 9.2225E-03 8.7840E-03 8.0288E-03 7.4024E-03 6.8769E-03 6.4244E-03 6.0347E-03 5.6901E-03 5.3908E-03 4.2841E-03 3.5742E-03 3.0800E-03 2.4292E-03 2.0161E-03 1.4359E-03 1.1258E-03 7.9801E-04 6.2504E-04 5.1716E-04 4.4303E-04 3.4593E-04 2.8461E-04 1.9875E-04 1.5382E-04 1.0695E-04 8.2550E-05 6.7516E-05 5.7249E-05 4.4094E-05 3.6020E-05 2.4883E-05 1.9131E-05 1.3193E-05 1.0131E-05 8.2481E-06 6.9708E-06 5.3456E-06 4.3502E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 3.0065E+03 2.9569E+05 1.1965E+04 1.3399E+03 1.2898E+03 1.9374E+03 2.7470E+03 3.8943E+03 4.5277E+03 3.9723E+03 3.4872E+03 4.0440E+03 3.7865E+03 3.1186E+03 3.3138E+03 2.9597E+03 2.6436E+03 2.7598E+03 1.6315E+03 8.1123E+02 4.6461E+02 2.9244E+02 1.3931E+02 1.0416E+02 2.7779E+02 2.4073E+02 2.0867E+02 2.9380E+02 2.9018E+02 2.5367E+02 2.9328E+02 1.1655E+02 5.4326E+01 1.8125E+01 8.2168E+00 4.4233E+00 2.6585E+00 2.4998E+00 1.3176E+01 6.5637E+00 3.6124E+00 1.1986E+00 5.4535E-01 2.9744E-01 1.8264E-01 1.2190E-01 8.6518E-02 6.4369E-02 4.9697E-02 3.9530E-02 3.2220E-02 2.6799E-02 1.9461E-02 1.6914E-02 1.4859E-02 1.1784E-02 1.0615E-02 1.0159E-02 6.8490E-03 6.3597E-03 5.5413E-03 4.8862E-03 4.3521E-03 3.5406E-03 2.9606E-03 2.8552E-03 2.5297E-03 1.9377E-03 1.5556E-03 1.0228E-03 7.5207E-04 5.9094E-04 4.8479E-04 4.1032E-04 3.5498E-04 3.1273E-04 2.7922E-04 2.5207E-04 2.2966E-04 2.1087E-04 1.9489E-04 1.8111E-04 1.5866E-04 1.4112E-04 1.2703E-04 1.1551E-04 1.0587E-04 9.7724E-05 9.0729E-05 6.6785E-05 5.2829E-05 4.3711E-05 3.2463E-05 2.5823E-05 1.7081E-05 1.2762E-05 8.4743E-06 6.3444E-06 5.0707E-06 4.2215E-06 3.1625E-06 2.5287E-06 1.6844E-06 1.2626E-06 8.4151E-07 6.3096E-07 5.0463E-07 4.2076E-07 3.1541E-07 2.5231E-07 1.6820E-07 1.2616E-07 8.4082E-08 6.3061E-08 5.0463E-08 4.2041E-08 3.1534E-08 2.5228E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.9460E-04 4.5933E-04 8.7348E-04 1.3702E-03 1.9190E-03 3.0953E-03 4.3085E-03 4.5765E-03 5.5189E-03 7.8462E-03 1.0019E-02 1.4819E-02 1.8873E-02 2.2360E-02 2.5433E-02 2.8197E-02 3.0709E-02 3.3017E-02 3.5150E-02 3.7134E-02 3.8978E-02 4.0718E-02 4.2319E-02 4.3816E-02 4.6495E-02 4.8897E-02 5.1089E-02 5.3038E-02 5.4883E-02 5.6518E-02 5.8050E-02 6.4314E-02 6.8943E-02 7.2562E-02 7.7852E-02 8.1611E-02 8.7527E-02 9.1042E-02 9.5114E-02 9.7446E-02 9.8977E-02 1.0009E-01 1.0152E-01 1.0246E-01 1.0381E-01 1.0458E-01 1.0538E-01 1.0580E-01 1.0608E-01 1.0625E-01 1.0649E-01 1.0667E-01 1.0688E-01 1.0698E-01 1.0712E-01 1.0716E-01 1.0722E-01 1.0722E-01 1.0726E-01 1.0729E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.3928E-08 2.7848E-06 9.8072E-06 3.9987E-05 7.9523E-05 1.2195E-04 1.6416E-04 2.0495E-04 2.4393E-04 2.8092E-04 3.1586E-04 3.4872E-04 3.7969E-04 4.0927E-04 4.3711E-04 4.6321E-04 5.1229E-04 5.5648E-04 5.9685E-04 6.3409E-04 6.6820E-04 6.9987E-04 7.2945E-04 8.5056E-04 9.4174E-04 1.0134E-03 1.1210E-03 1.1986E-03 1.3256E-03 1.4046E-03 1.5003E-03 1.5574E-03 1.5960E-03 1.6246E-03 1.6635E-03 1.6896E-03 1.7279E-03 1.7498E-03 1.7739E-03 1.7878E-03 1.7965E-03 1.8024E-03 1.8104E-03 1.8156E-03 1.8226E-03 1.8264E-03 1.8302E-03 1.8327E-03 1.8344E-03 1.8351E-03 1.8362E-03 1.8368E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Bk.mat0000644000276300001750000002277213136054446020325 0ustar solebliss00000000000000Bk 1 97 1.000000 13 4 3 3 5 3 3 4 3 5 3 3 8 78 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.2350E-03 1.2350E-03 1.5000E-03 1.5540E-03 1.5540E-03 1.6514E-03 1.7550E-03 1.7550E-03 2.0000E-03 3.0000E-03 4.0000E-03 4.1320E-03 4.1320E-03 4.2474E-03 4.3660E-03 4.3660E-03 4.6615E-03 4.9770E-03 4.9770E-03 5.0000E-03 6.0000E-03 6.1470E-03 6.1470E-03 6.3482E-03 6.5560E-03 6.5560E-03 8.0000E-03 1.0000E-02 1.5000E-02 1.9452E-02 1.9452E-02 2.0000E-02 2.4385E-02 2.4385E-02 2.4826E-02 2.5275E-02 2.5275E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.3159E-01 1.3159E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.4615E+01 5.1414E+01 1.5995E+01 1.4332E+01 1.4332E+01 1.4005E+01 1.3932E+01 1.3932E+01 1.3808E+01 1.3676E+01 1.3676E+01 1.3340E+01 1.1999E+01 1.0739E+01 1.0583E+01 1.0583E+01 1.0449E+01 1.0313E+01 1.0313E+01 9.9827E+00 9.6424E+00 9.6424E+00 9.6181E+00 8.6504E+00 8.5188E+00 8.5188E+00 8.3452E+00 8.1727E+00 8.1727E+00 7.1051E+00 5.9473E+00 4.0607E+00 3.0468E+00 3.0468E+00 2.9468E+00 2.3046E+00 2.3046E+00 2.2457E+00 2.1881E+00 2.1881E+00 1.7430E+00 1.1692E+00 8.4822E-01 6.4080E-01 4.0291E-01 2.7957E-01 1.7644E-01 1.7644E-01 1.4076E-01 8.4481E-02 5.6540E-02 4.0632E-02 3.0669E-02 2.3989E-02 1.9279E-02 1.5831E-02 1.3231E-02 1.1222E-02 9.6366E-03 7.3308E-03 6.4787E-03 5.7683E-03 4.6563E-03 4.2143E-03 4.0388E-03 2.7323E-03 2.5314E-03 2.1899E-03 1.9129E-03 1.6856E-03 1.3377E-03 1.0868E-03 1.0410E-03 9.0008E-04 6.4691E-04 4.8724E-04 2.7494E-04 1.7637E-04 1.2260E-04 9.0136E-05 6.9052E-05 5.4574E-05 4.4215E-05 3.6537E-05 3.0711E-05 2.6178E-05 2.2568E-05 1.9660E-05 1.7281E-05 1.3654E-05 1.1061E-05 9.1428E-06 7.6827E-06 6.5469E-06 5.6451E-06 4.9163E-06 2.7665E-06 1.7701E-06 1.2292E-06 6.9150E-07 4.4264E-07 1.9668E-07 1.1063E-07 4.9163E-08 2.7665E-08 1.7701E-08 1.2292E-08 6.9150E-09 4.4264E-09 1.9668E-09 1.1063E-09 4.9163E-10 2.7665E-10 1.7701E-10 1.2292E-10 6.9150E-11 4.4264E-11 1.9668E-11 1.1063E-11 4.9163E-12 2.7665E-12 1.7701E-12 1.2292E-12 6.9150E-13 4.4264E-13 INCOHERENT SCATTERING CROSS SECTION 4.2192E-03 6.7179E-01 2.0805E-03 5.5646E-03 5.5646E-03 7.0393E-03 7.3464E-03 7.3464E-03 7.8966E-03 8.4773E-03 8.4773E-03 9.8545E-03 1.5314E-02 2.0365E-02 2.0998E-02 2.0998E-02 2.1551E-02 2.2103E-02 2.2103E-02 2.3378E-02 2.4862E-02 2.4862E-02 2.4984E-02 2.9152E-02 2.9761E-02 2.9761E-02 3.0558E-02 3.1345E-02 3.1345E-02 3.6610E-02 4.3167E-02 5.6572E-02 6.5250E-02 6.5250E-02 6.6176E-02 7.2464E-02 7.2464E-02 7.2966E-02 7.3464E-02 7.3464E-02 7.8485E-02 8.5968E-02 9.0672E-02 9.3499E-02 9.5815E-02 9.5888E-02 9.4036E-02 9.4036E-02 9.2500E-02 8.7820E-02 8.3238E-02 7.9070E-02 7.5351E-02 7.2050E-02 6.9111E-02 6.6468E-02 6.4071E-02 6.1886E-02 5.9885E-02 5.6345E-02 5.4769E-02 5.3302E-02 5.0644E-02 4.9431E-02 4.8919E-02 4.4337E-02 4.3469E-02 4.1848E-02 4.0364E-02 3.8998E-02 3.6580E-02 3.4514E-02 3.4099E-02 3.2714E-02 2.9667E-02 2.7202E-02 2.2709E-02 1.9621E-02 1.7347E-02 1.5592E-02 1.4193E-02 1.3048E-02 1.2090E-02 1.1275E-02 1.0576E-02 9.9642E-03 9.4255E-03 8.9502E-03 8.5237E-03 7.7900E-03 7.1831E-03 6.6737E-03 6.2349E-03 5.8547E-03 5.5232E-03 5.2307E-03 4.1558E-03 3.4684E-03 2.9883E-03 2.3575E-03 1.9568E-03 1.3935E-03 1.0927E-03 7.7437E-04 6.0643E-04 5.0211E-04 4.2996E-04 3.3563E-04 2.7616E-04 1.9290E-04 1.4929E-04 1.0381E-04 8.0118E-05 6.5518E-05 5.5549E-05 4.2801E-05 3.4953E-05 2.4150E-05 1.8566E-05 1.2804E-05 9.8301E-06 8.0045E-06 6.7663E-06 5.1893E-06 4.2216E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 7.8266E+03 4.5419E+05 2.6576E+04 5.3940E+03 5.7377E+03 3.9389E+03 3.6659E+03 3.7122E+03 3.2761E+03 2.8908E+03 2.9444E+03 2.2361E+03 9.1696E+02 4.7359E+02 4.3898E+02 9.8228E+02 9.3307E+02 8.8649E+02 1.2331E+03 1.0568E+03 9.0599E+02 1.0625E+03 1.0459E+03 6.5981E+02 6.1910E+02 6.5664E+02 6.0599E+02 5.5939E+02 5.8303E+02 3.5708E+02 2.0435E+02 7.3001E+01 3.7390E+01 8.7747E+01 8.0898E+01 4.7578E+01 6.8321E+01 6.5128E+01 6.2081E+01 7.1563E+01 4.6433E+01 2.2224E+01 1.2426E+01 7.6901E+00 3.5830E+00 1.9743E+00 9.4742E-01 3.7877E+00 2.7372E+00 1.3233E+00 7.5461E-01 4.8017E-01 3.2977E-01 2.3962E-01 1.8182E-01 1.4271E-01 1.1509E-01 9.4889E-02 7.9691E-02 5.8713E-02 5.1283E-02 4.5224E-02 3.6062E-02 3.2564E-02 3.1199E-02 2.1110E-02 1.9591E-02 1.7041E-02 1.5002E-02 1.3349E-02 1.0848E-02 9.0574E-03 8.7308E-03 7.7230E-03 5.8915E-03 4.7115E-03 3.0711E-03 2.2419E-03 1.7518E-03 1.4313E-03 1.2065E-03 1.0413E-03 9.1452E-04 8.1483E-04 7.3415E-04 6.6785E-04 6.1228E-04 5.6524E-04 5.2478E-04 4.5872E-04 4.0729E-04 3.6634E-04 3.3246E-04 3.0468E-04 2.8079E-04 2.6056E-04 1.9134E-04 1.5110E-04 1.2482E-04 9.2598E-05 7.3586E-05 4.8626E-05 3.6293E-05 2.4094E-05 1.8030E-05 1.4405E-05 1.1992E-05 8.9843E-06 7.1831E-06 4.7847E-06 3.5854E-06 2.3899E-06 1.7920E-06 1.4334E-06 1.1943E-06 8.9575E-07 7.1660E-07 4.7773E-07 3.5830E-07 2.3879E-07 1.7910E-07 1.4327E-07 1.1938E-07 8.9551E-08 7.1636E-08 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 4.8821E-04 7.8296E-04 1.5453E-03 2.4594E-03 3.4298E-03 5.3313E-03 7.1148E-03 7.4999E-03 8.8163E-03 1.1840E-02 1.4466E-02 2.0021E-02 2.4642E-02 2.8542E-02 3.2076E-02 3.5269E-02 3.8219E-02 4.0924E-02 4.3435E-02 4.5799E-02 4.7993E-02 5.0040E-02 5.1966E-02 5.3794E-02 5.7060E-02 5.9985E-02 6.2666E-02 6.5103E-02 6.7346E-02 6.9393E-02 7.1270E-02 7.8948E-02 8.4676E-02 8.9112E-02 9.5644E-02 1.0025E-01 1.0749E-01 1.1178E-01 1.1680E-01 1.1965E-01 1.2155E-01 1.2289E-01 1.2467E-01 1.2584E-01 1.2748E-01 1.2840E-01 1.2935E-01 1.2996E-01 1.3028E-01 1.3052E-01 1.3084E-01 1.3104E-01 1.3125E-01 1.3143E-01 1.3155E-01 1.3167E-01 1.3172E-01 1.3174E-01 1.3177E-01 1.3179E-01 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.1094E-08 2.6992E-06 9.5011E-06 3.8706E-05 7.6925E-05 1.1787E-04 1.5855E-04 1.9782E-04 2.3528E-04 2.7080E-04 3.0419E-04 3.3563E-04 3.6537E-04 3.9340E-04 4.1997E-04 4.4507E-04 4.9138E-04 5.3355E-04 5.7182E-04 6.0692E-04 6.3909E-04 6.6907E-04 6.9661E-04 8.1020E-04 8.9526E-04 9.6205E-04 1.0615E-03 1.1332E-03 1.2502E-03 1.3223E-03 1.4098E-03 1.4617E-03 1.4971E-03 1.5229E-03 1.5582E-03 1.5819E-03 1.6167E-03 1.6365E-03 1.6579E-03 1.6709E-03 1.6787E-03 1.6840E-03 1.6913E-03 1.6960E-03 1.7020E-03 1.7057E-03 1.7091E-03 1.7116E-03 1.7128E-03 1.7135E-03 1.7145E-03 1.7152E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/He.mat0000644000276300001750000001642013136054446020316 0ustar solebliss00000000000000Hellium 1 2 1.000000 1 96 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 3.7870E-01 5.1885E+00 4.4168E-01 3.5462E-01 3.2544E-01 2.6270E-01 2.0643E-01 1.6159E-01 1.2799E-01 8.4255E-02 5.9054E-02 2.9549E-02 1.7558E-02 8.1773E-03 4.6852E-03 3.0257E-03 2.1109E-03 1.1939E-03 7.6582E-04 3.4123E-04 1.9213E-04 1.2301E-04 1.2301E-04 8.5429E-05 4.8055E-05 3.7979E-05 3.0768E-05 2.5428E-05 2.1365E-05 1.8204E-05 1.3674E-05 1.2018E-05 1.0646E-05 8.5228E-06 7.6913E-06 7.3633E-06 4.9229E-06 4.5517E-06 3.9248E-06 3.4184E-06 3.0034E-06 2.3720E-06 1.9228E-06 1.8416E-06 1.5910E-06 1.1388E-06 8.5459E-07 4.8071E-07 3.0768E-07 2.1365E-07 1.5693E-07 1.2018E-07 9.4968E-08 7.6913E-08 6.3567E-08 5.3412E-08 4.5513E-08 3.9239E-08 3.4184E-08 3.0046E-08 2.3742E-08 1.9228E-08 1.5888E-08 1.3354E-08 1.1377E-08 9.8112E-09 8.5459E-09 4.8071E-09 3.0768E-09 2.1365E-09 1.2015E-09 7.6883E-10 3.4168E-10 1.9228E-10 8.5429E-11 4.8056E-11 3.0753E-11 2.1365E-11 1.2014E-11 7.6883E-12 3.4168E-12 1.9228E-12 8.5429E-13 4.8055E-13 3.0753E-13 2.1365E-13 1.2014E-13 7.6883E-14 3.4168E-14 1.9228E-14 8.5429E-15 4.8056E-15 3.0753E-15 2.1365E-15 1.2014E-15 7.6883E-16 INCOHERENT SCATTERING CROSS SECTION 1.0169E-02 1.1399E-03 2.9712E-03 2.1350E-02 3.4861E-02 6.3643E-02 8.9491E-02 1.1025E-01 1.2616E-01 1.4722E-01 1.5933E-01 1.7227E-01 1.7573E-01 1.7498E-01 1.7137E-01 1.6716E-01 1.6294E-01 1.5497E-01 1.4782E-01 1.3330E-01 1.2223E-01 1.1348E-01 1.1348E-01 1.0634E-01 9.5299E-02 9.0901E-02 8.7039E-02 8.3605E-02 8.0524E-02 7.7738E-02 7.2880E-02 7.0744E-02 6.8770E-02 6.5220E-02 6.3613E-02 6.2936E-02 5.6872E-02 5.5734E-02 5.3622E-02 5.1697E-02 4.9931E-02 4.6801E-02 4.4114E-02 4.3572E-02 4.1773E-02 3.7861E-02 3.4710E-02 2.8948E-02 2.5006E-02 2.2102E-02 1.9860E-02 1.8070E-02 1.6610E-02 1.5392E-02 1.4358E-02 1.3466E-02 1.2685E-02 1.2000E-02 1.1392E-02 1.0849E-02 9.9165E-03 9.1447E-03 8.4932E-03 7.9365E-03 7.4536E-03 7.0308E-03 6.6577E-03 5.2900E-03 4.4159E-03 3.8050E-03 3.0001E-03 2.4900E-03 1.7739E-03 1.3905E-03 9.8563E-04 7.7184E-04 6.3898E-04 5.4706E-04 4.2729E-04 3.5146E-04 2.4554E-04 1.9003E-04 1.3212E-04 1.0198E-04 8.3382E-05 7.0699E-05 5.4480E-05 4.4475E-05 3.0738E-05 2.3637E-05 1.6294E-05 1.2512E-05 1.0189E-05 8.6121E-06 6.6035E-06 5.3728E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.0438E+01 4.8984E+04 5.5544E+02 1.6385E+01 6.5042E+00 1.6806E+00 6.3703E-01 3.0482E-01 1.6535E-01 6.1837E-02 2.9203E-02 7.3347E-03 2.7518E-03 6.8728E-04 2.5653E-04 1.1954E-04 6.4079E-05 2.4013E-05 1.1260E-05 2.8827E-06 1.1176E-06 5.4521E-07 5.4521E-07 3.0828E-07 1.3032E-07 9.3079E-08 6.9736E-08 5.4308E-08 4.3271E-08 3.4986E-08 2.4689E-08 2.1801E-08 1.9831E-08 1.6007E-08 1.3583E-08 1.2479E-08 8.5188E-09 8.0417E-09 7.0709E-09 6.2289E-09 5.5720E-09 4.6290E-09 3.9600E-09 3.8351E-09 3.4459E-09 2.7233E-09 2.2448E-09 1.5542E-09 1.1854E-09 9.5705E-10 8.0193E-10 6.8984E-10 6.0513E-10 5.3878E-10 4.8567E-10 4.4189E-10 4.0548E-10 3.7448E-10 3.4785E-10 3.2483E-10 2.8677E-10 2.5683E-10 2.3245E-10 2.1229E-10 1.9529E-10 1.8085E-10 1.6836E-10 1.2528E-10 9.9737E-11 8.2841E-11 6.1882E-11 4.9380E-11 3.2814E-11 2.4569E-11 1.6355E-11 1.2253E-11 9.7977E-12 8.1622E-12 6.1190E-12 4.8943E-12 3.2619E-12 2.4464E-12 1.6294E-12 1.2226E-12 9.7796E-13 8.1502E-13 6.1115E-13 4.8898E-13 3.2589E-13 2.4449E-13 1.6294E-13 1.2223E-13 9.7781E-14 8.1487E-14 6.1115E-14 4.8883E-14 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 4.7047E-06 7.6569E-06 1.5728E-05 2.6405E-05 3.9293E-05 7.0193E-05 1.0583E-04 1.1411E-04 1.4420E-04 2.2399E-04 3.0392E-04 4.9364E-04 6.6276E-04 8.1532E-04 9.5103E-04 1.0738E-03 1.1853E-03 1.2867E-03 1.3792E-03 1.4642E-03 1.5437E-03 1.6174E-03 1.6866E-03 1.7513E-03 1.8717E-03 1.9800E-03 2.0793E-03 2.1696E-03 2.2538E-03 2.3306E-03 2.4028E-03 2.7052E-03 2.9369E-03 3.1235E-03 3.4078E-03 3.6170E-03 3.9615E-03 4.1751E-03 4.4279E-03 4.5754E-03 4.6731E-03 4.7424E-03 4.8371E-03 4.8973E-03 4.9861E-03 5.0342E-03 5.0854E-03 5.1170E-03 5.1350E-03 5.1471E-03 5.1636E-03 5.1742E-03 5.1862E-03 5.1952E-03 5.2028E-03 5.2073E-03 5.2103E-03 5.2118E-03 5.2133E-03 5.2148E-03 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.1613E-07 3.4457E-06 1.2142E-05 4.9575E-05 9.8774E-05 1.5166E-04 2.0462E-04 2.5592E-04 3.0512E-04 3.5192E-04 3.9645E-04 4.3858E-04 4.7845E-04 5.1636E-04 5.5247E-04 5.8693E-04 6.5117E-04 7.0985E-04 7.6416E-04 8.1442E-04 8.6106E-04 9.0469E-04 9.4561E-04 1.1189E-03 1.2554E-03 1.3672E-03 1.5422E-03 1.6776E-03 1.9123E-03 2.0688E-03 2.2704E-03 2.3953E-03 2.4825E-03 2.5472E-03 2.6375E-03 2.6977E-03 2.7894E-03 2.8406E-03 2.8978E-03 2.9309E-03 2.9504E-03 2.9655E-03 2.9850E-03 2.9971E-03 3.0136E-03 3.0227E-03 3.0317E-03 3.0377E-03 3.0422E-03 3.0437E-03 3.0467E-03 3.0482E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Rh.mat0000644000276300001750000002005013136054446020325 0ustar solebliss00000000000000Rh 1 45 1.000000 5 7 3 3 9 84 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 3.0038E-03 3.0038E-03 3.0741E-03 3.1461E-03 3.1461E-03 3.2763E-03 3.4119E-03 3.4119E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 2.3220E-02 2.3220E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 7.4907E+00 5.1650E+01 8.4627E+00 7.0986E+00 6.6597E+00 5.7743E+00 5.7708E+00 5.7708E+00 5.7093E+00 5.6502E+00 5.6502E+00 5.5433E+00 5.4325E+00 5.4325E+00 4.9813E+00 4.3183E+00 3.7787E+00 2.9875E+00 2.4427E+00 1.5871E+00 1.0938E+00 8.9069E-01 8.9069E-01 6.1506E-01 4.0169E-01 2.8254E-01 2.0874E-01 1.2740E-01 8.6201E-02 4.1790E-02 2.4567E-02 1.6130E-02 1.1388E-02 8.4645E-03 6.5368E-03 5.1997E-03 4.2340E-03 3.5137E-03 2.9623E-03 2.5309E-03 1.9087E-03 1.6801E-03 1.4902E-03 1.1954E-03 1.0797E-03 1.0341E-03 6.9347E-04 6.4141E-04 5.5332E-04 4.8215E-04 4.2389E-04 3.3513E-04 2.7165E-04 2.6013E-04 2.2466E-04 1.6095E-04 1.2090E-04 6.8001E-05 4.3546E-05 3.0244E-05 2.2220E-05 1.7012E-05 1.3442E-05 1.0891E-05 9.0005E-06 7.5609E-06 6.4432E-06 5.5560E-06 4.8403E-06 4.2539E-06 3.3614E-06 2.7224E-06 2.2501E-06 1.8908E-06 1.6111E-06 1.3893E-06 1.2102E-06 6.8060E-07 4.3563E-07 3.0250E-07 1.7018E-07 1.0891E-07 4.8403E-08 2.7224E-08 1.2102E-08 6.8060E-09 4.3563E-09 3.0250E-09 1.7018E-09 1.0891E-09 4.8403E-10 2.7224E-10 1.2102E-10 6.8060E-11 4.3563E-11 3.0250E-11 1.7018E-11 1.0891E-11 4.8403E-12 2.7224E-12 1.2102E-12 6.8060E-13 4.3563E-13 3.0250E-13 1.7018E-13 1.0891E-13 INCOHERENT SCATTERING CROSS SECTION 5.5291E-03 6.2421E-03 2.1332E-03 1.0025E-02 1.4537E-02 2.3128E-02 2.3157E-02 2.3157E-02 2.3720E-02 2.4315E-02 2.4315E-02 2.5360E-02 2.6416E-02 2.6416E-02 3.0923E-02 3.8039E-02 4.4622E-02 5.6209E-02 6.5661E-02 8.2398E-02 9.3575E-02 9.8900E-02 9.8900E-02 1.0703E-01 1.1400E-01 1.1757E-01 1.1909E-01 1.1897E-01 1.1687E-01 1.0961E-01 1.0247E-01 9.6211E-02 9.0825E-02 8.6172E-02 8.2105E-02 7.8512E-02 7.5317E-02 7.2457E-02 6.9874E-02 6.7522E-02 6.3391E-02 6.1564E-02 5.9871E-02 5.6826E-02 5.5449E-02 5.4869E-02 4.9638E-02 4.8650E-02 4.6815E-02 4.5143E-02 4.3612E-02 4.0897E-02 3.8554E-02 3.8080E-02 3.6506E-02 3.3094E-02 3.0349E-02 2.5322E-02 2.1869E-02 1.9329E-02 1.7375E-02 1.5812E-02 1.4537E-02 1.3472E-02 1.2564E-02 1.1780E-02 1.1101E-02 1.0505E-02 9.9720E-03 9.4921E-03 8.6787E-03 7.9998E-03 7.4322E-03 6.9464E-03 6.5251E-03 6.1506E-03 5.8258E-03 4.6296E-03 3.8647E-03 3.3298E-03 2.6258E-03 2.1793E-03 1.5520E-03 1.2172E-03 8.6260E-04 6.7533E-04 5.5923E-04 4.7882E-04 3.7395E-04 3.0765E-04 2.1483E-04 1.6632E-04 1.1564E-04 8.9245E-05 7.2976E-05 6.1857E-05 4.7671E-05 3.8922E-05 2.6902E-05 2.0681E-05 1.4262E-05 1.0949E-05 8.9186E-06 7.5375E-06 5.7795E-06 4.7022E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 6.1623E+03 1.2438E+06 3.0448E+04 2.4193E+03 1.2073E+03 4.3838E+02 4.3692E+02 1.5075E+03 1.4165E+03 1.3319E+03 1.8411E+03 1.6656E+03 1.5069E+03 1.7258E+03 1.1652E+03 6.5427E+02 4.0625E+02 1.8844E+02 1.0276E+02 3.3503E+01 1.4952E+01 9.7964E+00 6.3144E+01 3.2579E+01 1.4923E+01 8.0466E+00 4.8198E+00 2.1185E+00 1.1107E+00 3.4024E-01 1.4718E-01 7.7453E-02 4.6278E-02 3.0220E-02 2.1068E-02 1.5444E-02 1.1786E-02 9.2929E-03 7.5141E-03 6.1994E-03 4.4543E-03 3.8700E-03 3.4094E-03 2.7032E-03 2.4134E-03 2.2964E-03 1.5491E-03 1.4420E-03 1.2592E-03 1.1113E-03 9.9121E-04 8.0922E-04 6.7826E-04 6.5427E-04 5.8054E-04 4.4746E-04 3.6160E-04 2.4052E-04 1.7837E-04 1.4109E-04 1.1640E-04 9.8901E-05 8.5909E-05 7.5843E-05 6.7884E-05 6.1447E-05 5.6081E-05 5.1575E-05 4.7730E-05 4.4417E-05 3.8993E-05 3.4744E-05 3.1326E-05 2.8517E-05 2.6171E-05 2.4175E-05 2.2466E-05 1.6591E-05 1.3144E-05 1.0885E-05 8.0993E-06 6.4490E-06 4.2709E-06 3.1929E-06 2.1220E-06 1.5888E-06 1.2699E-06 1.0575E-06 7.9237E-07 6.3378E-07 4.2211E-07 3.1648E-07 2.1091E-07 1.5818E-07 1.2652E-07 1.0545E-07 7.9062E-08 6.3261E-08 4.2164E-08 3.1619E-08 2.1079E-08 1.5812E-08 1.2646E-08 1.0540E-08 7.9062E-09 6.3261E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.4976E-04 2.3297E-04 4.4417E-04 7.0459E-04 1.0051E-03 1.6970E-03 2.4655E-03 2.6399E-03 3.2651E-03 4.8747E-03 6.4373E-03 1.0007E-02 1.3109E-02 1.5789E-02 1.8188E-02 2.0348E-02 2.2308E-02 2.4105E-02 2.5755E-02 2.7271E-02 2.8675E-02 2.9969E-02 3.1162E-02 3.2280E-02 3.4328E-02 3.6160E-02 3.7828E-02 3.9338E-02 4.0719E-02 4.1983E-02 4.3148E-02 4.7870E-02 5.1370E-02 5.4103E-02 5.8135E-02 6.0979E-02 6.5544E-02 6.8294E-02 7.1454E-02 7.3268E-02 7.4497E-02 7.5317E-02 7.6487E-02 7.7189E-02 7.8301E-02 7.8886E-02 7.9472E-02 7.9823E-02 8.0057E-02 8.0232E-02 8.0408E-02 8.0525E-02 8.0700E-02 8.0759E-02 8.0876E-02 8.0935E-02 8.0935E-02 8.0993E-02 8.0993E-02 8.1052E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0161E-07 3.0137E-06 1.0616E-05 4.3317E-05 8.6260E-05 1.3232E-04 1.7820E-04 2.2267E-04 2.6522E-04 3.0566E-04 3.4387E-04 3.7992E-04 4.1392E-04 4.4628E-04 4.7689E-04 5.0597E-04 5.5981E-04 6.0862E-04 6.5368E-04 6.9523E-04 7.3327E-04 7.6838E-04 8.0115E-04 9.3751E-04 1.0405E-03 1.1230E-03 1.2465E-03 1.3366E-03 1.4864E-03 1.5801E-03 1.6948E-03 1.7638E-03 1.8106E-03 1.8452E-03 1.8932E-03 1.9248E-03 1.9722E-03 1.9985E-03 2.0278E-03 2.0447E-03 2.0553E-03 2.0629E-03 2.0722E-03 2.0787E-03 2.0869E-03 2.0921E-03 2.0968E-03 2.0997E-03 2.1015E-03 2.1027E-03 2.1038E-03 2.1050E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/Sb.mat0000644000276300001750000002005013136054446020320 0ustar solebliss00000000000000Sb 1 51 1.000000 5 8 3 3 9 83 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 4.1322E-03 4.1322E-03 4.2545E-03 4.3804E-03 4.3804E-03 4.5366E-03 4.6983E-03 4.6983E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 3.0491E-02 3.0491E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 8.1120E+00 5.5111E+01 9.1920E+00 7.6717E+00 7.1870E+00 6.2670E+00 5.4657E+00 5.3717E+00 5.3717E+00 5.2834E+00 5.1936E+00 5.1936E+00 5.0876E+00 4.9809E+00 4.9809E+00 4.7846E+00 4.2049E+00 3.3111E+00 2.6898E+00 1.7733E+00 1.2524E+00 7.0782E-01 6.9100E-01 6.9100E-01 4.6159E-01 3.2745E-01 2.4380E-01 1.4953E-01 1.0120E-01 4.9191E-02 2.9055E-02 1.9133E-02 1.3533E-02 1.0071E-02 7.7855E-03 6.1980E-03 5.0502E-03 4.1931E-03 3.5366E-03 3.0230E-03 2.2818E-03 2.0092E-03 1.7824E-03 1.4304E-03 1.2925E-03 1.2381E-03 8.3049E-04 7.6818E-04 6.6285E-04 5.7773E-04 5.0798E-04 4.0164E-04 3.2562E-04 3.1182E-04 2.6933E-04 1.9294E-04 1.4493E-04 8.1565E-05 5.2233E-05 3.6271E-05 2.6651E-05 2.0404E-05 1.6125E-05 1.3058E-05 1.0793E-05 9.0715E-06 7.7261E-06 6.6627E-06 5.8070E-06 5.0996E-06 4.0312E-06 3.2656E-06 2.6987E-06 2.2674E-06 1.9320E-06 1.6659E-06 1.4512E-06 8.1614E-07 5.2233E-07 3.6281E-07 2.0408E-07 1.3063E-07 5.8070E-08 3.2651E-08 1.4512E-08 8.1614E-09 5.2233E-09 3.6281E-09 2.0408E-09 1.3058E-09 5.8070E-10 3.2651E-10 1.4512E-10 8.1614E-11 5.2233E-11 3.6281E-11 2.0408E-11 1.3058E-11 5.8070E-12 3.2651E-12 1.4512E-12 8.1614E-13 5.2233E-13 3.6281E-13 2.0408E-13 1.3058E-13 INCOHERENT SCATTERING CROSS SECTION 5.0255E-03 5.7937E-03 1.8693E-03 9.3238E-03 1.3667E-02 2.1818E-02 2.8985E-02 2.9871E-02 2.9871E-02 3.0668E-02 3.1473E-02 3.1473E-02 3.2464E-02 3.3477E-02 3.3477E-02 3.5317E-02 4.1040E-02 5.1194E-02 6.0048E-02 7.6569E-02 8.7253E-02 1.0001E-01 1.0046E-01 1.0046E-01 1.0674E-01 1.1030E-01 1.1203E-01 1.1238E-01 1.1070E-01 1.0417E-01 9.7591E-02 9.1744E-02 8.6659E-02 8.2243E-02 7.8399E-02 7.5029E-02 7.2018E-02 6.9293E-02 6.6825E-02 6.4585E-02 6.0656E-02 5.8911E-02 5.7287E-02 5.4375E-02 5.3074E-02 5.2530E-02 4.7524E-02 4.6577E-02 4.4822E-02 4.3226E-02 4.1763E-02 3.9166E-02 3.6919E-02 3.6464E-02 3.4955E-02 3.1690E-02 2.9065E-02 2.4252E-02 2.0948E-02 1.8519E-02 1.6644E-02 1.5151E-02 1.3924E-02 1.2905E-02 1.2034E-02 1.1287E-02 1.0635E-02 1.0061E-02 9.5513E-03 9.0963E-03 8.3148E-03 7.6668E-03 7.1177E-03 6.6528E-03 6.2472E-03 5.8960E-03 5.5794E-03 4.4349E-03 3.7018E-03 3.1894E-03 2.5157E-03 2.0878E-03 1.4869E-03 1.1658E-03 8.2603E-04 6.4698E-04 5.3569E-04 4.5862E-04 3.5821E-04 2.9470E-04 2.0582E-04 1.5927E-04 1.1075E-04 8.5472E-05 6.9891E-05 5.9257E-05 4.5669E-05 3.7285E-05 2.5765E-05 1.9810E-05 1.3662E-05 1.0491E-05 8.5423E-06 7.2216E-06 5.5349E-06 4.5041E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 8.5769E+03 1.4283E+06 3.9992E+04 3.4832E+03 1.7599E+03 6.4698E+02 3.1137E+02 2.8644E+02 8.6412E+02 8.1687E+02 7.7212E+02 1.0447E+03 9.6350E+02 8.8885E+02 1.0244E+03 8.7995E+02 5.5250E+02 2.5973E+02 1.4310E+02 4.7386E+01 2.1338E+01 6.8210E+00 6.5143E+00 3.9937E+01 1.9696E+01 1.0763E+01 6.5192E+00 2.9139E+00 1.5457E+00 4.8276E-01 2.1141E-01 1.1219E-01 6.7468E-02 4.4294E-02 3.1018E-02 2.2820E-02 1.7460E-02 1.3789E-02 1.1164E-02 9.2239E-03 6.6446E-03 5.7773E-03 5.0915E-03 4.0383E-03 3.6069E-03 3.4327E-03 2.3149E-03 2.1543E-03 1.8799E-03 1.6580E-03 1.4777E-03 1.2048E-03 1.0095E-03 9.7393E-04 8.6417E-04 6.6494E-04 5.3618E-04 3.5544E-04 2.6300E-04 2.0765E-04 1.7104E-04 1.4517E-04 1.2598E-04 1.1119E-04 9.9470E-05 8.9924E-05 8.2059E-05 7.5431E-05 6.9792E-05 6.4896E-05 5.6932E-05 5.0700E-05 4.5714E-05 4.1599E-05 3.8161E-05 3.5247E-05 3.2745E-05 2.4163E-05 1.9137E-05 1.5843E-05 1.1782E-05 9.3782E-06 6.2126E-06 4.6416E-06 3.0840E-06 2.3089E-06 1.8455E-06 1.5368E-06 1.1515E-06 9.2100E-07 6.1334E-07 4.5991E-07 3.0647E-07 2.2986E-07 1.8385E-07 1.5319E-07 1.1490E-07 9.1903E-08 6.1285E-08 4.5946E-08 3.0633E-08 2.2971E-08 1.8376E-08 1.5314E-08 1.1485E-08 9.1903E-09 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.7698E-04 2.7459E-04 5.2066E-04 8.2109E-04 1.1640E-03 1.9417E-03 2.7937E-03 2.9861E-03 3.6728E-03 5.4231E-03 7.1079E-03 1.0936E-02 1.4240E-02 1.7094E-02 1.9632E-02 2.1917E-02 2.3990E-02 2.5889E-02 2.7640E-02 2.9257E-02 3.0766E-02 3.2151E-02 3.3432E-02 3.4619E-02 3.6796E-02 3.8740E-02 4.0505E-02 4.2108E-02 4.3572E-02 4.4913E-02 4.6149E-02 5.1145E-02 5.4904E-02 5.7773E-02 6.2076E-02 6.5093E-02 6.9941E-02 7.2810E-02 7.6173E-02 7.8102E-02 7.9388E-02 8.0279E-02 8.1515E-02 8.2307E-02 8.3444E-02 8.4038E-02 8.4730E-02 8.5077E-02 8.5324E-02 8.5472E-02 8.5670E-02 8.5819E-02 8.5967E-02 8.6066E-02 8.6165E-02 8.6214E-02 8.6264E-02 8.6313E-02 8.6313E-02 8.6363E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 9.7304E-08 2.8858E-06 1.0165E-05 4.1470E-05 8.2554E-05 1.2663E-04 1.7055E-04 2.1304E-04 2.5370E-04 2.9233E-04 3.2883E-04 3.6326E-04 3.9566E-04 4.2652E-04 4.5570E-04 4.8340E-04 5.3470E-04 5.8119E-04 6.2422E-04 6.6330E-04 6.9941E-04 7.3304E-04 7.6421E-04 8.9330E-04 9.9124E-04 1.0689E-03 1.1861E-03 1.2707E-03 1.4112E-03 1.4992E-03 1.6071E-03 1.6719E-03 1.7159E-03 1.7485E-03 1.7930E-03 1.8227E-03 1.8667E-03 1.8920E-03 1.9192E-03 1.9350E-03 1.9449E-03 1.9518E-03 1.9607E-03 1.9667E-03 1.9746E-03 1.9790E-03 1.9835E-03 1.9864E-03 1.9879E-03 1.9889E-03 1.9899E-03 1.9909E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/mylar.mat0000644000276300001750000001645613136054446021117 0ustar solebliss00000000000000Mylar 3 1 6 8 0.056000 0.500000 0.444000 1 96 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.2256E+00 5.1485E+01 1.5267E+00 1.1140E+00 9.9061E-01 7.6064E-01 5.8418E-01 4.5865E-01 3.7032E-01 2.5990E-01 1.9628E-01 1.1556E-01 7.6666E-02 4.0290E-02 2.4595E-02 1.6533E-02 1.1862E-02 6.9372E-03 4.5340E-03 2.0632E-03 1.1708E-03 7.5260E-04 5.2391E-04 3.8547E-04 2.9541E-04 2.3357E-04 1.8928E-04 1.5649E-04 1.3153E-04 1.1210E-04 8.4223E-05 7.4027E-05 6.5572E-05 5.2497E-05 4.7389E-05 4.5376E-05 3.0341E-05 2.8050E-05 2.4184E-05 2.1067E-05 1.8518E-05 1.4635E-05 1.1852E-05 1.1345E-05 9.7910E-06 7.0109E-06 5.2680E-06 2.9635E-06 1.8964E-06 1.3170E-06 9.6746E-07 7.4085E-07 5.8537E-07 4.7413E-07 3.9181E-07 3.2923E-07 2.8056E-07 2.4189E-07 2.1073E-07 1.8519E-07 1.4633E-07 1.1852E-07 9.7970E-08 8.2310E-08 7.0145E-08 6.0470E-08 5.2680E-08 2.9635E-08 1.8964E-08 1.3170E-08 7.4085E-09 4.7410E-09 2.1069E-09 1.1850E-09 5.2675E-10 2.9632E-10 1.8959E-10 1.3167E-10 7.4085E-11 4.7410E-11 2.1069E-11 1.1850E-11 5.2675E-12 2.9632E-12 1.8959E-12 1.3167E-12 7.4085E-13 4.7410E-13 2.1069E-13 1.1850E-13 5.2675E-14 2.9632E-14 1.8959E-14 1.3167E-14 7.4085E-15 4.7410E-15 INCOHERENT SCATTERING CROSS SECTION 1.2914E-02 8.0974E-03 4.1781E-03 2.5907E-02 4.0234E-02 6.7421E-02 8.9402E-02 1.0591E-01 1.1815E-01 1.3460E-01 1.4514E-01 1.6048E-01 1.6846E-01 1.7418E-01 1.7401E-01 1.7165E-01 1.6844E-01 1.6143E-01 1.5462E-01 1.4004E-01 1.2862E-01 1.1952E-01 1.1207E-01 1.0582E-01 1.0049E-01 9.5875E-02 9.1813E-02 8.8189E-02 8.4937E-02 8.2003E-02 7.6889E-02 7.4632E-02 7.2540E-02 6.8795E-02 6.7121E-02 6.6421E-02 6.0021E-02 5.8814E-02 5.6582E-02 5.4557E-02 5.2705E-02 4.9416E-02 4.6557E-02 4.5975E-02 4.4054E-02 3.9929E-02 3.6624E-02 3.0550E-02 2.6384E-02 2.3319E-02 2.0960E-02 1.9075E-02 1.7535E-02 1.6246E-02 1.5153E-02 1.4211E-02 1.3386E-02 1.2665E-02 1.2025E-02 1.1450E-02 1.0464E-02 9.6496E-03 8.9648E-03 8.3773E-03 7.8647E-03 7.4198E-03 7.0248E-03 5.5827E-03 4.6605E-03 4.0143E-03 3.1667E-03 2.6283E-03 1.8716E-03 1.4676E-03 1.0400E-03 8.1457E-04 6.7435E-04 5.7749E-04 4.5095E-04 3.7098E-04 2.5909E-04 2.0054E-04 1.3941E-04 1.0761E-04 8.8012E-05 7.4629E-05 5.7480E-05 4.6930E-05 3.2438E-05 2.4939E-05 1.7198E-05 1.3204E-05 1.0754E-05 9.0890E-06 6.9707E-06 5.6686E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 3.1424E+03 1.1400E+07 2.1706E+04 1.0368E+03 4.5888E+02 1.4074E+02 5.9600E+01 3.0287E+01 1.7304E+01 7.0794E+00 3.5097E+00 9.6384E-01 3.8074E-01 1.0140E-01 3.9360E-02 1.8834E-02 1.0298E-02 3.9694E-03 1.8968E-03 5.0064E-04 1.9752E-04 9.7594E-05 5.5697E-05 3.5122E-05 2.3822E-05 1.7088E-05 1.2835E-05 1.0006E-05 7.9908E-06 6.4913E-06 4.5953E-06 4.0320E-06 3.6261E-06 2.9060E-06 2.5067E-06 2.3294E-06 1.5816E-06 1.4855E-06 1.3023E-06 1.1477E-06 1.0262E-06 8.4916E-07 7.2260E-07 6.9903E-07 6.2601E-07 4.9210E-07 4.0416E-07 2.7761E-07 2.1059E-07 1.6935E-07 1.4152E-07 1.2145E-07 1.0636E-07 9.4586E-08 8.5137E-08 7.7392E-08 7.0940E-08 6.5470E-08 6.0793E-08 5.6735E-08 5.0051E-08 4.4762E-08 4.0493E-08 3.6958E-08 3.3993E-08 3.1461E-08 2.9292E-08 2.1763E-08 1.7310E-08 1.4372E-08 1.0730E-08 8.5576E-09 5.6826E-09 4.2550E-09 2.8303E-09 2.1212E-09 1.6959E-09 1.4127E-09 1.0590E-09 8.4696E-10 5.6442E-10 4.2325E-10 2.8209E-10 2.1155E-10 1.6923E-10 1.4101E-10 1.0576E-10 8.4607E-11 5.6398E-11 4.2303E-11 2.8206E-11 2.1152E-11 1.6921E-11 1.4100E-11 1.0576E-11 8.4604E-12 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.6078E-05 2.6072E-05 5.3253E-05 8.9057E-05 1.3221E-04 2.3562E-04 3.5474E-04 3.8234E-04 4.8266E-04 7.4852E-04 1.0148E-03 1.6466E-03 2.2095E-03 2.7156E-03 3.1665E-03 3.5721E-03 3.9420E-03 4.2762E-03 4.5811E-03 4.8609E-03 5.1219E-03 5.3640E-03 5.5897E-03 5.8047E-03 6.1941E-03 6.5436E-03 6.8633E-03 7.1525E-03 7.4178E-03 7.6628E-03 7.8900E-03 8.8178E-03 9.5213E-03 1.0079E-02 1.0925E-02 1.1547E-02 1.2583E-02 1.3225E-02 1.4005E-02 1.4463E-02 1.4769E-02 1.4992E-02 1.5290E-02 1.5486E-02 1.5772E-02 1.5930E-02 1.6102E-02 1.6192E-02 1.6252E-02 1.6293E-02 1.6347E-02 1.6379E-02 1.6426E-02 1.6453E-02 1.6479E-02 1.6494E-02 1.6500E-02 1.6509E-02 1.6515E-02 1.6521E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.2257E-07 3.6367E-06 1.2814E-05 5.2318E-05 1.0426E-04 1.6010E-04 2.1588E-04 2.7005E-04 3.2197E-04 3.7146E-04 4.1844E-04 4.6288E-04 5.0489E-04 5.4508E-04 5.8303E-04 6.1930E-04 6.8692E-04 7.4868E-04 8.0584E-04 8.5856E-04 9.0740E-04 9.5328E-04 9.9602E-04 1.1763E-03 1.3168E-03 1.4311E-03 1.6087E-03 1.7429E-03 1.9765E-03 2.1306E-03 2.3288E-03 2.4526E-03 2.5387E-03 2.6033E-03 2.6936E-03 2.7542E-03 2.8462E-03 2.8985E-03 2.9563E-03 2.9900E-03 3.0113E-03 3.0260E-03 3.0456E-03 3.0583E-03 3.0752E-03 3.0850E-03 3.0947E-03 3.1010E-03 3.1042E-03 3.1070E-03 3.1094E-03 3.1113E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/P.mat0000644000276300001750000001666213136054446020171 0ustar solebliss00000000000000Phosphor 1 15 1.000000 2 6 92 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 2.1455E-03 2.1455E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 3.0000E-01 3.5000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 2.6559E+00 6.1911E+01 3.2840E+00 2.4128E+00 2.1640E+00 2.0959E+00 2.0959E+00 1.7446E+00 1.4479E+00 1.2369E+00 1.0758E+00 8.3293E-01 6.5386E-01 3.8244E-01 2.5023E-01 1.3410E-01 8.4498E-02 5.8056E-02 4.2230E-02 2.5120E-02 1.6627E-02 7.7246E-03 4.4349E-03 2.8689E-03 2.0045E-03 1.4784E-03 1.1349E-03 8.9841E-04 7.2871E-04 6.0280E-04 5.0687E-04 4.3214E-04 3.2487E-04 2.8561E-04 2.5306E-04 2.0266E-04 1.8294E-04 1.7516E-04 1.1714E-04 1.0831E-04 9.3401E-05 8.1368E-05 7.1514E-05 5.6506E-05 4.5788E-05 4.3843E-05 3.7860E-05 2.7109E-05 2.0357E-05 1.1450E-05 7.3280E-06 5.0882E-06 3.7388E-06 2.8620E-06 2.2612E-06 1.8321E-06 1.5142E-06 1.2723E-06 1.0841E-06 9.3481E-07 8.1426E-07 7.1569E-07 5.6539E-07 4.5807E-07 3.7855E-07 3.1808E-07 2.7103E-07 2.3370E-07 2.0357E-07 1.1450E-07 7.3280E-08 5.0882E-08 2.8620E-08 1.8319E-08 8.1426E-09 4.5788E-09 2.0357E-09 1.1450E-09 7.3280E-10 5.0882E-10 2.8620E-10 1.8319E-10 8.1426E-11 4.5788E-11 2.0357E-11 1.1450E-11 7.3280E-12 5.0882E-12 2.8620E-12 1.8319E-12 8.1426E-13 4.5788E-13 2.0357E-13 1.1450E-13 7.3280E-14 5.0882E-14 2.8620E-14 1.8319E-14 INCOHERENT SCATTERING CROSS SECTION 1.1127E-02 2.8032E-02 4.1478E-03 2.0804E-02 3.0253E-02 3.2858E-02 3.2858E-02 4.6371E-02 5.8853E-02 6.8788E-02 7.7188E-02 9.1342E-02 1.0299E-01 1.2331E-01 1.3460E-01 1.4463E-01 1.4798E-01 1.4848E-01 1.4751E-01 1.4356E-01 1.3872E-01 1.2698E-01 1.1716E-01 1.0913E-01 1.0246E-01 9.6839E-02 9.2022E-02 8.7839E-02 8.4148E-02 8.0850E-02 7.7887E-02 7.5213E-02 7.0542E-02 6.8477E-02 6.6561E-02 6.3129E-02 6.1594E-02 6.0953E-02 5.5081E-02 5.3979E-02 5.1940E-02 5.0084E-02 4.8377E-02 4.5343E-02 4.2735E-02 4.2210E-02 4.0467E-02 3.6683E-02 3.3636E-02 2.8056E-02 2.4226E-02 2.1406E-02 1.9246E-02 1.7516E-02 1.6102E-02 1.4918E-02 1.3915E-02 1.3050E-02 1.2294E-02 1.1631E-02 1.1042E-02 1.0515E-02 9.6105E-03 8.8620E-03 8.2320E-03 7.6915E-03 7.2230E-03 6.8147E-03 6.4511E-03 5.1270E-03 4.2793E-03 3.6883E-03 2.9086E-03 2.4148E-03 1.7189E-03 1.3478E-03 9.5522E-04 7.4816E-04 6.1925E-04 5.3020E-04 4.1413E-04 3.4064E-04 2.3798E-04 1.8416E-04 1.2805E-04 9.8847E-05 8.0804E-05 6.8536E-05 5.2787E-05 4.3104E-05 2.9786E-05 2.2904E-05 1.5795E-05 1.2126E-05 9.8749E-06 8.3468E-06 6.4005E-06 5.2068E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 1.9101E+03 8.5271E+05 1.1987E+04 6.5230E+02 2.9961E+02 2.4731E+02 2.4712E+03 1.1162E+03 5.2262E+02 2.8484E+02 1.7147E+02 7.5671E+01 3.9605E+01 1.1883E+01 4.9696E+00 1.4213E+00 5.7706E-01 2.8522E-01 1.5968E-01 6.3694E-02 3.1167E-02 8.5334E-03 3.4414E-03 1.7248E-03 9.9411E-04 6.3149E-04 4.3085E-04 3.1052E-04 2.3390E-04 1.8255E-04 1.4627E-04 1.1962E-04 8.5153E-05 7.4135E-05 6.5707E-05 5.2229E-05 4.6079E-05 4.3493E-05 2.9475E-05 2.7546E-05 2.4132E-05 2.1329E-05 1.9075E-05 1.5705E-05 1.3293E-05 1.2850E-05 1.1478E-05 8.9679E-06 7.3280E-06 4.9890E-06 3.7602E-06 3.0117E-06 2.5081E-06 2.1465E-06 1.8760E-06 1.6653E-06 1.4969E-06 1.3590E-06 1.2445E-06 1.1475E-06 1.0647E-06 9.9274E-07 8.7473E-07 7.8160E-07 7.0655E-07 6.4433E-07 5.9242E-07 5.4809E-07 5.0998E-07 3.7835E-07 3.0078E-07 2.4945E-07 1.8607E-07 1.4837E-07 9.8477E-08 7.3688E-08 4.9015E-08 3.6727E-08 2.9358E-08 2.4459E-08 1.8329E-08 1.4658E-08 9.7680E-09 7.3241E-09 4.8821E-09 3.6611E-09 2.9281E-09 2.4401E-09 1.8301E-09 1.4640E-09 9.7602E-10 7.3202E-10 4.8801E-10 3.6591E-10 2.9281E-10 2.4401E-10 1.8298E-10 1.4638E-10 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 3.6999E-05 5.9618E-05 1.2053E-04 2.0007E-04 2.9543E-04 5.2334E-04 7.8626E-04 8.4731E-04 1.0687E-03 1.6511E-03 2.2301E-03 3.6008E-03 4.8179E-03 5.9086E-03 6.8769E-03 7.7518E-03 8.5431E-03 9.2606E-03 9.9119E-03 1.0509E-02 1.1063E-02 1.1578E-02 1.2060E-02 1.2511E-02 1.3340E-02 1.4080E-02 1.4749E-02 1.5358E-02 1.5916E-02 1.6429E-02 1.6903E-02 1.8869E-02 2.0337E-02 2.1484E-02 2.3195E-02 2.4420E-02 2.6403E-02 2.7609E-02 2.9047E-02 2.9903E-02 3.0447E-02 3.0856E-02 3.1400E-02 3.1750E-02 3.2275E-02 3.2547E-02 3.2858E-02 3.3014E-02 3.3130E-02 3.3189E-02 3.3286E-02 3.3344E-02 3.3441E-02 3.3480E-02 3.3519E-02 3.3558E-02 3.3578E-02 3.3578E-02 3.3597E-02 3.3597E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.1255E-07 3.3394E-06 1.1767E-05 4.8043E-05 9.5736E-05 1.4703E-04 1.9812E-04 2.4789E-04 2.9553E-04 3.4083E-04 3.8380E-04 4.2443E-04 4.6293E-04 4.9948E-04 5.3429E-04 5.6734E-04 6.2878E-04 6.8497E-04 7.3668E-04 7.8432E-04 8.2865E-04 8.6987E-04 9.0836E-04 1.0693E-03 1.1938E-03 1.2937E-03 1.4471E-03 1.5609E-03 1.7539E-03 1.8786E-03 2.0357E-03 2.1329E-03 2.1990E-03 2.2495E-03 2.3195E-03 2.3662E-03 2.4381E-03 2.4770E-03 2.5217E-03 2.5489E-03 2.5645E-03 2.5762E-03 2.5917E-03 2.6014E-03 2.6150E-03 2.6228E-03 2.6287E-03 2.6345E-03 2.6364E-03 2.6384E-03 2.6403E-03 2.6423E-03 PyMca5-5.2.2/PyMca5/PyMcaData/attdata/O.mat0000644000276300001750000001642013136054446020160 0ustar solebliss00000000000000Oxygen 1 8 1.000000 1 96 ENERGY LIST 1.0000E-03 1.0000E-04 5.0000E-04 1.5000E-03 2.0000E-03 3.0000E-03 4.0000E-03 5.0000E-03 6.0000E-03 8.0000E-03 1.0000E-02 1.5000E-02 2.0000E-02 3.0000E-02 4.0000E-02 5.0000E-02 6.0000E-02 8.0000E-02 1.0000E-01 1.5000E-01 2.0000E-01 2.5000E-01 2.5000E-01 3.0000E-01 4.0000E-01 4.5000E-01 5.0000E-01 5.5000E-01 6.0000E-01 6.5000E-01 7.5000E-01 8.0000E-01 8.5000E-01 9.5000E-01 1.0000E+00 1.0220E+00 1.2500E+00 1.3000E+00 1.4000E+00 1.5000E+00 1.6000E+00 1.8000E+00 2.0000E+00 2.0440E+00 2.2000E+00 2.6000E+00 3.0000E+00 4.0000E+00 5.0000E+00 6.0000E+00 7.0000E+00 8.0000E+00 9.0000E+00 1.0000E+01 1.1000E+01 1.2000E+01 1.3000E+01 1.4000E+01 1.5000E+01 1.6000E+01 1.8000E+01 2.0000E+01 2.2000E+01 2.4000E+01 2.6000E+01 2.8000E+01 3.0000E+01 4.0000E+01 5.0000E+01 6.0000E+01 8.0000E+01 1.0000E+02 1.5000E+02 2.0000E+02 3.0000E+02 4.0000E+02 5.0000E+02 6.0000E+02 8.0000E+02 1.0000E+03 1.5000E+03 2.0000E+03 3.0000E+03 4.0000E+03 5.0000E+03 6.0000E+03 8.0000E+03 1.0000E+04 1.5000E+04 2.0000E+04 3.0000E+04 4.0000E+04 5.0000E+04 6.0000E+04 8.0000E+04 1.0000E+05 COHERENT SCATTERING CROSS SECTION 1.5015E+00 2.8632E+01 1.7906E+00 1.3919E+00 1.2632E+00 1.0023E+00 7.8328E-01 6.1804E-01 4.9797E-01 3.4467E-01 2.5648E-01 1.4860E-01 9.8880E-02 5.2470E-02 3.2148E-02 2.1662E-02 1.5575E-02 9.1389E-03 5.9885E-03 2.7342E-03 1.5538E-03 9.9939E-04 9.9939E-04 6.9596E-04 3.9258E-04 3.1043E-04 2.5158E-04 2.0800E-04 1.7484E-04 1.4902E-04 1.1198E-04 9.8428E-05 8.7182E-05 6.9795E-05 6.3009E-05 6.0337E-05 4.0350E-05 3.7302E-05 3.2158E-05 2.8012E-05 2.4623E-05 1.9461E-05 1.5760E-05 1.5086E-05 1.3018E-05 9.3216E-06 7.0048E-06 3.9409E-06 2.5215E-06 1.7510E-06 1.2865E-06 9.8503E-07 7.7839E-07 6.3047E-07 5.2093E-07 4.3775E-07 3.7305E-07 3.2163E-07 2.8019E-07 2.4624E-07 1.9456E-07 1.5760E-07 1.3027E-07 1.0946E-07 9.3271E-08 8.0399E-08 7.0048E-08 3.9409E-08 2.5215E-08 1.7510E-08 9.8503E-09 6.3047E-09 2.8015E-09 1.5756E-09 7.0048E-10 3.9409E-10 2.5211E-10 1.7510E-10 9.8503E-11 6.3047E-11 2.8015E-11 1.5756E-11 7.0048E-12 3.9409E-12 2.5211E-12 1.7510E-12 9.8503E-13 6.3047E-13 2.8015E-13 1.5756E-13 7.0048E-14 3.9409E-14 2.5211E-14 1.7510E-14 9.8503E-15 6.3047E-15 INCOHERENT SCATTERING CROSS SECTION 8.5141E-03 1.6334E-03 2.5572E-03 1.7679E-02 2.8456E-02 5.0889E-02 7.0989E-02 8.7437E-02 1.0031E-01 1.1815E-01 1.2944E-01 1.4544E-01 1.5402E-01 1.6132E-01 1.6242E-01 1.6091E-01 1.5835E-01 1.5222E-01 1.4604E-01 1.3253E-01 1.2180E-01 1.1322E-01 1.1322E-01 1.0618E-01 9.5229E-02 9.0866E-02 8.7023E-02 8.3593E-02 8.0511E-02 7.7730E-02 7.2890E-02 7.0763E-02 6.8796E-02 6.5256E-02 6.3649E-02 6.2971E-02 5.6911E-02 5.5767E-02 5.3640E-02 5.1717E-02 4.9974E-02 4.6884E-02 4.4151E-02 4.3587E-02 4.1738E-02 3.7834E-02 3.4726E-02 2.8968E-02 2.5015E-02 2.2110E-02 1.9874E-02 1.8086E-02 1.6625E-02 1.5406E-02 1.4367E-02 1.3475E-02 1.2692E-02 1.2007E-02 1.1401E-02 1.0859E-02 9.9218E-03 9.1502E-03 8.4991E-03 7.9420E-03 7.4564E-03 7.0349E-03 6.6622E-03 5.2922E-03 4.4189E-03 3.8054E-03 3.0025E-03 2.4921E-03 1.7747E-03 1.3915E-03 9.8616E-04 7.7237E-04 6.3950E-04 5.4766E-04 4.2759E-04 3.5178E-04 2.4567E-04 1.9016E-04 1.3219E-04 1.0204E-04 8.3447E-05 7.0763E-05 5.4502E-05 4.4490E-05 3.0759E-05 2.3645E-05 1.6309E-05 1.2519E-05 1.0197E-05 8.6195E-06 6.6095E-06 5.3750E-06 PHOTOELECTRIC ABSORPTION CROSS SECTION 4.5883E+03 1.6974E+07 3.0554E+04 1.5474E+03 6.9370E+02 2.1601E+02 9.2293E+01 4.7200E+01 2.7097E+01 1.1168E+01 5.5669E+00 1.5417E+00 6.1240E-01 1.6411E-01 6.3950E-02 3.0680E-02 1.6806E-02 6.4966E-03 3.1106E-03 8.2281E-04 3.2509E-04 1.6084E-04 1.6084E-04 9.1879E-05 3.9334E-05 2.8226E-05 2.1206E-05 1.6532E-05 1.3208E-05 1.0740E-05 7.6084E-06 6.6660E-06 5.9791E-06 4.7848E-06 4.1441E-06 3.8618E-06 2.6220E-06 2.4607E-06 2.1571E-06 1.9023E-06 1.7013E-06 1.4071E-06 1.1966E-06 1.1574E-06 1.0362E-06 8.1419E-07 6.6848E-07 4.5883E-07 3.4787E-07 2.7966E-07 2.3363E-07 2.0047E-07 1.7551E-07 1.5605E-07 1.4047E-07 1.2767E-07 1.1702E-07 1.0799E-07 1.0027E-07 9.3572E-08 8.2544E-08 7.3812E-08 6.6773E-08 6.0939E-08 5.6046E-08 5.1868E-08 4.8292E-08 3.5874E-08 2.8535E-08 2.3690E-08 1.7683E-08 1.4104E-08 9.3648E-09 7.0123E-09 4.6636E-09 3.4956E-09 2.7948E-09 2.3280E-09 1.7454E-09 1.3957E-09 9.3008E-10 6.9746E-10 4.6485E-10 3.4862E-10 2.7887E-10 2.3239E-10 1.7427E-10 1.3942E-10 9.2933E-11 6.9709E-11 4.6485E-11 3.4854E-11 2.7884E-11 2.3235E-11 1.7427E-11 1.3942E-11 PAIR PROD. CROSS SECTION (ATOMIC NUCLEUS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.9418E-05 3.1466E-05 6.4194E-05 1.0727E-04 1.5919E-04 2.8364E-04 4.2683E-04 4.5996E-04 5.8038E-04 8.9980E-04 1.2199E-03 1.9783E-03 2.6540E-03 3.2611E-03 3.8016E-03 4.2872E-03 4.7313E-03 5.1303E-03 5.4954E-03 5.8304E-03 6.1428E-03 6.4326E-03 6.7036E-03 6.9596E-03 7.4263E-03 7.8441E-03 8.2243E-03 8.5706E-03 8.8867E-03 9.1803E-03 9.4513E-03 1.0554E-02 1.1397E-02 1.2060E-02 1.3069E-02 1.3806E-02 1.5030E-02 1.5782E-02 1.6686E-02 1.7213E-02 1.7563E-02 1.7815E-02 1.8154E-02 1.8376E-02 1.8699E-02 1.8876E-02 1.9068E-02 1.9170E-02 1.9234E-02 1.9283E-02 1.9339E-02 1.9377E-02 1.9430E-02 1.9460E-02 1.9490E-02 1.9505E-02 1.9512E-02 1.9520E-02 1.9528E-02 1.9535E-02 PAIR PROD. CROSS SECTION (ATOMIC ELECTRONS) 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 0.0000E-01 1.1621E-07 3.4481E-06 1.2150E-05 4.9609E-05 9.8842E-05 1.5180E-04 2.0469E-04 2.5606E-04 3.0530E-04 3.5220E-04 3.9672E-04 4.3888E-04 4.7878E-04 5.1679E-04 5.5255E-04 5.8718E-04 6.5117E-04 7.0951E-04 7.6371E-04 8.1340E-04 8.5969E-04 9.0298E-04 9.4325E-04 1.1134E-03 1.2455E-03 1.3528E-03 1.5191E-03 1.6441E-03 1.8602E-03 2.0009E-03 2.1797E-03 2.2900E-03 2.3660E-03 2.4225E-03 2.5012E-03 2.5535E-03 2.6321E-03 2.6766E-03 2.7255E-03 2.7541E-03 2.7718E-03 2.7838E-03 2.8004E-03 2.8109E-03 2.8249E-03 2.8331E-03 2.8410E-03 2.8463E-03 2.8493E-03 2.8512E-03 2.8531E-03 2.8550E-03 PyMca5-5.2.2/PyMca5/PyMcaData/KShellRatesScofieldHS.dat0000644000276300001750000003771313136054446022424 0ustar solebliss00000000000000#U00 #U01 Adaptation from table II of the reference: #U02 #U03 J.H. Scofield, "Relativistic Hartree-Slater Values for #U04 K and L X-ray Emission Rates", Atomic Data and Nuclear #U05 Data Tables 14 (1964) 121 - 137 #U06 #U07 The TOTAL column is taken from the reference. The individual #U08 shells of the reference are divided by the total in order to #U09 directly get probabilities and missing values are interpolated. #U10 #S1 K x-ray emission rates #N 17 #L Z TOTAL KL1 KL2 KL3 KM1 KM2 KM3 KM4 KM5 KN1 KN2 KN3 KN45 KO23 KO45 KP23 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1.949e-005 9.9538e-011 0.33299 0.66701 0 0 0 0 0 0 0 0 0 0 0 0 6 0.0001033 1.4521e-010 0.33398 0.66602 0 0 0 0 0 0 0 0 0 0 0 0 7 0.0003305 2.4327e-010 0.33404 0.66596 0 0 0 0 0 0 0 0 0 0 0 0 8 0.0008232 4.0816e-010 0.33431 0.66569 0 0 0 0 0 0 0 0 0 0 0 0 9 0.001758 6.6553e-010 0.33447 0.66553 0 0 0 0 0 0 0 0 0 0 0 0 10 0.00337 1.0534e-009 0.33472 0.66528 0 0 0 0 0 0 0 0 0 0 0 0 11 0.005756 1.7894e-009 0.33461 0.66539 3.1619e-011 0 0 0 0 0 0 0 0 0 0 0 12 0.00911 2.9857e-009 0.3348 0.6652 1.7673e-010 0 0 0 0 0 0 0 0 0 0 0 13 0.013824 4.8033e-009 0.33276 0.66117 4.1305e-010 0.0020327 0.0040365 0 0 0 0 0 0 0 0 0 14 0.020239 7.4607e-009 0.32956 0.65368 7.7078e-010 0.0056178 0.011147 0 0 0 0 0 0 0 0 0 15 0.028752 1.1164e-008 0.3252 0.64483 1.3077e-009 0.010048 0.019929 0 0 0 0 0 0 0 0 0 16 0.039804 1.6355e-008 0.32057 0.63486 2.0852e-009 0.014948 0.02962 0 0 0 0 0 0 0 0 0 17 0.053952 2.3354e-008 0.31547 0.62463 3.1695e-009 0.02011 0.039795 0 0 0 0 0 0 0 0 0 18 0.071682 3.2644e-008 0.31054 0.61382 4.6874e-009 0.025418 0.050222 0 0 0 0 0 0 0 0 0 19 0.093274 4.5029e-008 0.30695 0.60574 7.0759e-009 0.029311 0.058001 0 0 1.7583e-010 0 0 0 0 0 0 20 0.11939 6.1312e-008 0.30405 0.59972 1.0386e-008 0.032331 0.063908 0 0 8.1414e-010 0 0 0 0 0 0 21 0.15004 8.2644e-008 0.30325 0.59717 1.4463e-008 0.033458 0.066116 1.053e-006 1.5529e-006 1.1397e-009 0 0 0 0 0 0 22 0.18598 1.1023e-007 0.30272 0.59522 1.9841e-008 0.034305 0.067749 2.7637e-006 4.0649e-006 1.5324e-009 0 0 0 0 0 0 23 0.228 1.4473e-007 0.30219 0.59385 2.6622e-008 0.034956 0.06899 5.2192e-006 7.6753e-006 2e-009 0 0 0 0 0 0 24 0.27603 1.8875e-007 0.30251 0.59415 3.4743e-008 0.034779 0.068544 9.2745e-006 1.3549e-005 9.6368e-010 0 0 0 0 0 0 25 0.33189 2.4285e-007 0.30221 0.59086 4.61e-008 0.036006 0.070897 1.2685e-005 1.841e-005 3.2541e-009 0 0 0 0 0 0 26 0.39641 3.1029e-007 0.30171 0.59055 5.9282e-008 0.036301 0.071391 1.786e-005 2.5983e-005 4.0363e-009 0 0 0 0 0 0 27 0.46901 3.9019e-007 0.3017 0.58976 7.5692e-008 0.036631 0.071854 2.4093e-005 3.5181e-005 5.0106e-009 0 0 0 0 0 0 28 0.55147 4.896e-007 0.30137 0.58933 9.5562e-008 0.036865 0.072352 3.1552e-005 4.5877e-005 6.1109e-009 0 0 0 0 0 0 29 0.64291 6.1129e-007 0.30207 0.58951 1.1884e-007 0.036615 0.071706 4.1375e-005 5.9729e-005 2.7998e-009 0 0 0 0 0 0 30 0.74686 7.5382e-007 0.3018 0.58779 1.4862e-007 0.037316 0.072972 5.0478e-005 7.2972e-005 8.9575e-009 0 0 0 0 0 0 31 0.86417 9.2227e-007 0.30121 0.58553 1.863e-007 0.038071 0.074406 6.052e-005 8.7367e-005 1.4696e-008 0.00021709 0.00041427 0 0 0 0 32 0.99511 1.1255e-006 0.30047 0.58285 2.3012e-007 0.03879 0.075871 7.1248e-005 0.0001028 2.1204e-008 0.00063309 0.0012149 0 0 0 0 33 1.1427 1.3565e-006 0.2993 0.58023 2.8355e-007 0.039557 0.077188 8.2702e-005 0.00011911 2.923e-008 0.0012051 0.0023174 0 0 0 0 34 1.3049 1.6246e-006 0.29811 0.57706 3.4639e-007 0.04031 0.078703 9.495e-005 0.00013656 3.9083e-008 0.0019113 0.0036784 0 0 0 0 35 1.487 1.9368e-006 0.29725 0.57365 4.2166e-007 0.040956 0.079894 0.00010774 0.00015468 5.1111e-008 0.0027304 0.005259 0 0 0 0 36 1.6866 2.3004e-006 0.29585 0.57036 5.0989e-007 0.041621 0.081167 0.00012131 0.00017378 6.5811e-008 0.0036582 0.0070377 0 0 0 0 37 1.9058 2.7233e-006 0.29489 0.56721 6.1391e-007 0.042239 0.08238 0.00013574 0.00019414 8.6578e-008 0.0044023 0.0085423 0 0 0 0 38 2.1441 3.2089e-006 0.29384 0.56435 7.3692e-007 0.042909 0.083627 0.00015112 0.00021548 1.1287e-007 0.0050605 0.0098458 0 0 0 0 39 2.4048 3.7716e-006 0.29316 0.5618 8.7742e-007 0.043538 0.084789 0.00016717 0.00023786 1.4263e-007 0.0055348 0.010766 2.3786e-006 0 0 0 40 2.6879 4.4272e-006 0.29242 0.55954 1.0417e-006 0.044123 0.08594 0.00018416 0.00026154 1.7709e-007 0.0059488 0.01157 6.2502e-006 0 0 0 41 2.994 5.1437e-006 0.29192 0.55746 1.2325e-006 0.044724 0.087076 0.00020174 0.00028558 2.1577e-007 0.0062225 0.012091 1.3861e-005 0 0 0 42 3.3277 5.9801e-006 0.29149 0.55534 1.4545e-006 0.045257 0.088079 0.00021967 0.00031073 2.6265e-007 0.0065571 0.012712 2.1186e-005 0 0 0 43 3.6865 6.9171e-006 0.29106 0.55337 1.7062e-006 0.045789 0.088973 0.00023871 0.00033691 3.1737e-007 0.006871 0.013319 3.0273e-005 0 0 0 44 4.0749 8.0002e-006 0.29056 0.55142 1.9951e-006 0.046259 0.090063 0.00025841 0.00036369 3.8038e-007 0.007156 0.013865 4.1179e-005 0 0 0 45 4.4921 9.1939e-006 0.29029 0.54963 2.3152e-006 0.046749 0.090826 0.00027893 0.00039135 4.519e-007 0.007413 0.014359 5.4073e-005 0 0 0 46 4.9403 1.0566e-005 0.29006 0.54795 2.6922e-006 0.047204 0.091695 0.00029998 0.00041981 5.3236e-007 0.0076109 0.014675 7.1049e-005 0 0 0 47 5.4224 1.2098e-005 0.28972 0.54606 3.1167e-006 0.047617 0.092578 0.00032181 0.00044906 6.3071e-007 0.0078931 0.015251 8.6308e-005 0 0 0 48 5.9368 1.3829e-005 0.28955 0.54406 3.6046e-006 0.048039 0.093316 0.00034446 0.00047938 7.4619e-007 0.0082199 0.015867 0.00010224 0 0 0 49 6.4922 1.5742e-005 0.28927 0.54219 4.1434e-006 0.048366 0.093959 0.00036752 0.00050984 8.7798e-007 0.0085179 0.016481 0.00011953 0.00019901 0 0 50 7.0894 1.7872e-005 0.28874 0.54024 4.7535e-006 0.048805 0.094648 0.00039114 0.00054165 1.0283e-006 0.00883 0.017082 0.00013739 0.00056281 0 0 51 7.7262 2.0256e-005 0.28837 0.53843 5.436e-006 0.049054 0.095131 0.00041547 0.00057337 1.2011e-006 0.0091248 0.017667 0.00015622 0.0010574 0 0 52 8.3971 2.2925e-005 0.2882 0.5359 6.2165e-006 0.049422 0.095867 0.00044063 0.00060617 1.4053e-006 0.00942 0.018268 0.0001759 0.0016708 0 0 53 9.1212 2.5863e-005 0.28779 0.53392 7.0715e-006 0.049665 0.096369 0.00046595 0.00063917 1.6226e-006 0.0097027 0.018824 0.00019603 0.0023879 0 0 54 9.89 2.912e-005 0.28736 0.53185 8.0182e-006 0.04995 0.096866 0.00049242 0.00067341 1.8807e-006 0.0099697 0.019373 0.00021709 0.0032053 0 0 55 10.71 3.2678e-005 0.28664 0.53032 9.0846e-006 0.050231 0.097288 0.00051912 0.00070772 2.1661e-006 0.010233 0.019896 0.00023902 0.003884 0 0 56 11.574 3.6719e-005 0.28684 0.52789 1.0273e-005 0.050456 0.097803 0.0005469 0.00074302 2.4883e-006 0.010497 0.020433 0.00026179 0.0044754 0 0 57 12.489 4.1158e-005 0.28666 0.52608 1.1595e-005 0.050687 0.09825 0.00057573 0.00077912 2.8586e-006 0.010754 0.020947 0.00028586 0.0049165 2.2901e-006 0 58 13.438 4.6137e-005 0.28649 0.52536 1.3089e-005 0.051048 0.098896 0.00060722 0.00081781 3.2296e-006 0.01082 0.021037 0.00029914 0.0045541 0 0 59 14.457 1.003e-005 0.28706 0.52363 1.472e-005 0.051325 0.09933 0.00063776 0.00085634 3.6591e-006 0.01095 0.021305 0.00031819 0.0045653 0 0 60 15.519 5.7544e-005 0.28675 0.5226 1.6542e-005 0.051616 0.099881 0.00066952 0.0008957 4.137e-006 0.011077 0.021523 0.00033702 0.0045687 0 0 61 16.642 6.4115e-005 0.28723 0.52097 1.8568e-005 0.051857 0.10035 0.00070184 0.00093559 4.6629e-006 0.011195 0.021752 0.00035573 0.0045668 0 0 62 17.828 7.1346e-005 0.28718 0.51995 2.0753e-005 0.052108 0.10079 0.00073422 0.0009754 5.2444e-006 0.011302 0.021931 0.00037468 0.0045489 0 0 63 19.069 7.9293e-005 0.28738 0.51866 2.3232e-005 0.052338 0.10127 0.00076828 0.0010163 5.8893e-006 0.011401 0.022131 0.00039437 0.0045363 0 0 64 20.383 8.7965e-005 0.28749 0.5171 2.5904e-005 0.052544 0.10165 0.00080165 0.0010563 6.6232e-006 0.011549 0.022421 0.000418 0.0048423 2.5266e-006 0 65 21.75 9.7563e-005 0.28781 0.51632 2.8873e-005 0.052781 0.10207 0.00083724 0.0010988 7.3793e-006 0.011582 0.022437 0.00043356 0.0044965 0 0 66 23.184 0.00010805 0.28813 0.51501 3.2134e-005 0.053011 0.10248 0.00087302 0.0011409 8.2428e-006 0.011672 0.022602 0.00045376 0.0044729 0 0 67 24.703 0.00011946 0.28863 0.5137 3.5704e-005 0.053191 0.10282 0.00090878 0.0011824 9.185e-006 0.011743 0.02275 0.00047362 0.0044447 0 0 68 26.278 0.00013205 0.28883 0.5126 3.9615e-005 0.053391 0.1032 0.00094528 0.0012254 1.0225e-005 0.011835 0.022871 0.00049395 0.0044219 0 0 69 27.928 0.00014573 0.28932 0.51132 4.3935e-005 0.053567 0.10355 0.0009829 0.0012676 1.1351e-005 0.011888 0.022988 0.00051454 0.0043971 0 0 70 29.656 0.00016051 0.28965 0.51018 4.8624e-005 0.053749 0.10386 0.0010217 0.0013117 1.2611e-005 0.01197 0.023132 0.00053547 0.0043701 0 0 71 31.466 0.0001767 0.28983 0.5088 5.374e-005 0.053899 0.10424 0.0010583 0.0013538 1.4015e-005 0.012045 0.023327 0.00055997 0.0046367 2.4439e-006 0 72 33.358 0.00019455 0.29018 0.50752 5.9326e-005 0.054049 0.10432 0.0010972 0.001397 1.5558e-005 0.012141 0.023532 0.00058546 0.0048983 6.2863e-006 0 73 35.342 0.00021363 0.29031 0.5062 6.5419e-005 0.054157 0.10469 0.0011346 0.0014374 1.726e-005 0.012252 0.02374 0.00061174 0.0051554 1.1431e-005 0 74 37.396 0.00021847 0.29067 0.50487 7.2067e-005 0.054284 0.10482 0.0011739 0.0014815 1.912e-005 0.012354 0.02396 0.00063938 0.0054097 1.7916e-005 0 75 39.552 0.00025738 0.29101 0.50338 7.9388e-005 0.054383 0.10518 0.0012136 0.001522 2.1136e-005 0.012439 0.02417 0.00066722 0.0056558 2.5738e-005 0 76 41.793 0.00028186 0.29144 0.502 8.7096e-005 0.054507 0.10528 0.0012514 0.0015649 2.3377e-005 0.012538 0.024406 0.00069581 0.0058981 3.4982e-005 0 77 44.121 0.0003087 0.2917 0.50067 9.5646e-005 0.0546 0.10562 0.0012919 0.0016069 2.5838e-005 0.012647 0.024637 0.00072528 0.0060243 5.1291e-005 0 78 46.547 0.00033794 0.29218 0.49928 0.00010506 0.054676 0.1057 0.001332 0.0016478 2.8509e-005 0.01274 0.024857 0.00075408 0.006299 6.1229e-005 0 79 49.076 0.00036943 0.29261 0.4978 0.00011513 0.054752 0.10596 0.0013734 0.0016892 3.1441e-005 0.012837 0.025084 0.0007845 0.0065205 7.4986e-005 0 80 51.691 0.00040355 0.29289 0.49641 0.00012613 0.054845 0.10621 0.0014142 0.0017314 3.4648e-005 0.012923 0.025323 0.00081638 0.0067903 8.6668e-005 0 81 54.416 0.00044068 0.2933 0.49489 0.00013819 0.05491 0.1064 0.0014555 0.0017715 3.815e-005 0.013029 0.025544 0.00084718 0.0070751 9.9419e-005 6.2114e-005 82 57.258 0.00048063 0.29376 0.49338 0.00015107 0.054962 0.10654 0.0014985 0.0018128 4.1951e-005 0.013099 0.025761 0.00088023 0.0073527 0.0001123 0.00017343 83 60.2 0.00052492 0.29419 0.49186 0.00016512 0.055 0.10665 0.0015399 0.0018538 4.6097e-005 0.013189 0.02598 0.00091197 0.0076412 0.00012542 0.00032459 84 63.239 0.00057085 0.29459 0.49036 0.00018043 0.055045 0.10674 0.0015813 0.0018944 5.0601e-005 0.013267 0.026202 0.00094403 0.0079223 0.00013884 0.00051234 85 66.41 0.00062189 0.29499 0.48878 0.00019681 0.055082 0.10691 0.0016248 0.0019334 5.5564e-005 0.013341 0.026412 0.00097726 0.0081915 0.00015224 0.00073182 86 69.692 0.00067727 0.29544 0.48715 0.00021466 0.0551 0.10704 0.0016673 0.0019715 6.0839e-005 0.013416 0.026632 0.0010102 0.0084659 0.00016602 0.00098434 87 73.088 0.0007361 0.29594 0.48558 0.00023396 0.055111 0.10713 0.0017089 0.0020113 6.6769e-005 0.013491 0.026844 0.0010439 0.0087292 0.00018019 0.0011931 88 76.582 0.00080045 0.29642 0.48406 0.00025489 0.055131 0.10721 0.0017524 0.0020501 7.2994e-005 0.013554 0.027056 0.0010786 0.0089969 0.00019496 0.0013763 89 80.213 0.00087019 0.29696 0.48247 0.00027751 0.055128 0.10734 0.0017965 0.0020882 7.9913e-005 0.013614 0.027265 0.0011133 0.0092629 0.00020982 0.0015272 90 83.972 0.00094555 0.29748 0.48087 0.00030189 0.055113 0.10754 0.0018399 0.0021245 8.741e-005 0.013671 0.027473 0.0011468 0.009515 0.00022484 0.0016684 91 87.81 0.0010272 0.29814 0.47944 0.00032855 0.05513 0.10762 0.0018848 0.0021626 9.5547e-005 0.013734 0.027685 0.0011821 0.0097028 0.00023528 0.001624 92 91.782 0.0011146 0.29875 0.47798 0.00035737 0.05512 0.10776 0.0019285 0.0021998 0.00010438 0.013783 0.027881 0.001217 0.0099039 0.00024776 0.0016583 93 95.895 0.0012097 0.29939 0.47646 0.00038792 0.055102 0.10793 0.001973 0.0022358 0.00011387 0.013828 0.028083 0.0012514 0.010094 0.00026007 0.0016873 94 100.1 0.0013138 0.30011 0.47505 0.0004216 0.055088 0.108 0.0020181 0.0022718 0.00012428 0.013877 0.028293 0.0012868 0.01025 0.00027054 0.0016245 95 104.45 0.0014245 0.3008 0.47351 0.00045857 0.055057 0.10818 0.0020631 0.0023072 0.00013556 0.01391 0.028481 0.0013221 0.010426 0.00028261 0.0016438 96 108.94 0.0015449 0.30155 0.47193 0.00049754 0.055014 0.10823 0.0021076 0.0023408 0.0001477 0.013944 0.028677 0.0013568 0.010621 0.0002965 0.0017487 97 113.56 0.0016741 0.30223 0.47043 0.00053982 0.054951 0.1084 0.0021531 0.0023742 0.00016089 0.013975 0.028867 0.0013923 0.010779 0.00030822 0.001763 98 118.28 0.0018152 0.30309 0.46897 0.00058589 0.054903 0.10847 0.0021982 0.0024078 0.00017526 0.014001 0.029049 0.0014271 0.010906 0.00031873 0.0016824 99 123.16 0.0019666 0.30392 0.46736 0.00063495 0.054823 0.10864 0.0022434 0.0024359 0.00019065 0.014014 0.029239 0.0014623 0.011051 0.00033047 0.0016913 100 128.15 0.0021311 0.30472 0.46586 0.00068826 0.054749 0.1087 0.0022887 0.0024737 0.00020741 0.014031 0.029419 0.0014967 0.01119 0.00034179 0.001698 101 133.3 0.0023106 0.30555 0.46429 0.00074643 0.054651 0.10885 0.0023331 0.0024981 0.0002258 0.014036 0.029595 0.0015311 0.011328 0.00035409 0.0017029 102 138.56 0.0024971 0.30651 0.46268 0.00080903 0.054546 0.10891 0.0023816 0.002526 0.00024538 0.014037 0.02977 0.0015654 0.011453 0.00036518 0.0017068 103 143.98 0.0027087 0.30733 0.46103 0.0008765 0.054416 0.10904 0.0024239 0.0025559 0.0002667 0.014029 0.029941 0.0015995 0.011599 0.00037852 0.0018058 104 149.54 0.0029289 0.3082 0.4594 0.00094888 0.054272 0.10913 0.0024675 0.0025812 0.00028955 0.014009 0.030111 0.001633 0.011736 0.00039253 0.0019011 105 149.54 0.0029289 0.3082 0.4594 0.00094888 0.054272 0.10913 0.0024675 0.0025812 0.00028955 0.014009 0.030111 0.001633 0.011736 0.00039253 0.0019011 106 149.54 0.0029289 0.3082 0.4594 0.00094888 0.054272 0.10913 0.0024675 0.0025812 0.00028955 0.014009 0.030111 0.001633 0.011736 0.00039253 0.0019011 107 149.54 0.0029289 0.3082 0.4594 0.00094888 0.054272 0.10913 0.0024675 0.0025812 0.00028955 0.014009 0.030111 0.001633 0.011736 0.00039253 0.0019011 108 149.54 0.0029289 0.3082 0.4594 0.00094888 0.054272 0.10913 0.0024675 0.0025812 0.00028955 0.014009 0.030111 0.001633 0.011736 0.00039253 0.0019011 109 149.54 0.0029289 0.3082 0.4594 0.00094888 0.054272 0.10913 0.0024675 0.0025812 0.00028955 0.014009 0.030111 0.001633 0.011736 0.00039253 0.0019011 PyMca5-5.2.2/PyMca5/PyMcaData/EXAFS_Ge.dat0000644000276300001750000005111013136054446017603 0ustar solebliss0000000000000010800 0.0709745 10805 0.0693439 10810 0.067777 10815 0.0661401 10820 0.064484 10825 0.0629618 10830 0.0613566 10835 0.0598025 10840 0.0584204 10845 0.0568535 10850 0.0553439 10855 0.0539045 10860 0.0525159 10865 0.0510828 10870 0.0495477 10875 0.0480892 10880 0.0464395 10885 0.0449554 10890 0.0434713 10895 0.0419873 10900 0.0404777 10905 0.0389872 10910 0.037535 10915 0.0361592 10920 0.0346051 10925 0.0331911 10930 0.0316178 10935 0.0301847 10940 0.0287707 10945 0.0275159 10950 0.0262611 10955 0.0248535 10960 0.0234394 10965 0.0221337 10970 0.0207898 10975 0.0195159 10980 0.018172 10985 0.0168089 10990 0.0154458 10995 0.0140573 11000 0.012828 11005 0.011414 11010 0.010242 11015 0.00899362 11020 0.00784071 11025 0.00662416 11029.9 0.00554141 11034.6 0.00445858 11039.2 0.00345859 11043.6 0.00264326 11047.8 0.00189809 11051.8 0.00120379 11055.6 0.00078344 11059.3 0.000445858 11062.8 0.000216551 11066.1 5.73268E-05 11069.2 0 11072.2 0.000222929 11075 0.000662409 11077.6 0.0013949 11080 0.00242671 11082.2 0.00381523 11084.3 0.00543306 11086.2 0.00773881 11087.9 0.0100573 11089.4 0.0132356 11090.8 0.0165987 11091.9 0.020312 11092.9 0.0242802 11093.8 0.0282739 11094.4 0.0320382 11094.9 0.0350637 11095.2 0.0372357 11095.5 0.0396943 11095.8 0.0422739 11096.1 0.0451274 11096.4 0.0481592 11096.7 0.0516688 11097 0.055363 11097.3 0.0594012 11097.6 0.0639808 11097.9 0.0692547 11098.2 0.0749618 11098.5 0.0814522 11098.8 0.0887197 11099.1 0.0970127 11099.4 0.107089 11099.7 0.118382 11100 0.131809 11100.3 0.147452 11100.6 0.166962 11100.9 0.18986 11101.2 0.217376 11101.5 0.252771 11101.8 0.300535 11102.1 0.360446 11102.4 0.440025 11102.7 0.545866 11103 0.683925 11103.3 0.862526 11103.6 1.04817 11103.9 1.22549 11104.2 1.36655 11104.5 1.46262 11104.8 1.51989 11105.1 1.55224 11105.4 1.58035 11105.7 1.60852 11106 1.63041 11106.3 1.6365 11106.6 1.62373 11106.9 1.60041 11107.2 1.57483 11107.5 1.54875 11107.8 1.51803 11108.1 1.4855 11108.4 1.4524 11108.7 1.42245 11109 1.39692 11109.3 1.37483 11109.6 1.35737 11109.9 1.34212 11110.2 1.32958 11110.5 1.32026 11110.8 1.31451 11111.1 1.31212 11111.4 1.31132 11111.7 1.31006 11112 1.30725 11112.3 1.30268 11112.6 1.29747 11112.9 1.2921 11113.2 1.28688 11113.5 1.28125 11113.8 1.27415 11114.1 1.26426 11114.4 1.25141 11114.7 1.2345 11115 1.21381 11115.3 1.18956 11115.6 1.16245 11115.9 1.13229 11116.2 1.10314 11116.5 1.07512 11116.8 1.04918 11117.1 1.02658 11117.4 1.00823 11117.7 0.994446 11118 0.986641 11118.3 0.983259 11118.6 0.983304 11118.9 0.985677 11119.2 0.988984 11119.5 0.99288 11119.8 0.997195 11120.1 1.00144 11120.4 1.0058 11120.7 1.00974 11121 1.013 11121.3 1.01553 11121.6 1.01688 11122 1.01725 11122.3 1.01674 11122.6 1.01547 11123 1.01415 11123.3 1.01294 11123.6 1.0121 11124 1.01176 11124.3 1.01197 11124.7 1.01273 11125 1.01398 11125.4 1.01533 11125.7 1.01696 11126.1 1.01863 11126.5 1.0202 11126.8 1.02162 11127.2 1.02301 11127.6 1.0243 11128 1.02564 11128.3 1.02669 11128.7 1.02745 11129.1 1.02767 11129.5 1.02713 11129.9 1.02548 11130.3 1.02254 11130.7 1.01847 11131.1 1.01289 11131.5 1.00627 11131.9 0.999003 11132.3 0.992154 11132.7 0.985785 11133.1 0.980911 11133.5 0.977267 11134 0.975782 11134.4 0.975938 11134.8 0.977492 11135.2 0.97992 11135.7 0.982934 11136.1 0.986066 11136.5 0.98908 11137 0.991772 11137.4 0.994099 11137.9 0.995834 11138.3 0.997173 11138.8 0.998243 11139.3 0.999006 11139.7 0.99964 11140.2 1.0003 11140.7 1.00071 11141.1 1.00079 11141.6 1.00087 11142.1 1.00066 11142.6 1.00037 11143 1.0002 11143.5 1.00002 11144 0.999815 11144.5 0.999396 11145 0.999101 11145.5 0.998799 11146 0.998469 11146.5 0.998681 11147 0.999493 11147.5 1.00065 11148 1.00221 11148.5 1.004 11149.1 1.00629 11149.6 1.00888 11150.1 1.01194 11150.6 1.01555 11151.2 1.01906 11151.7 1.02267 11152.2 1.02607 11152.8 1.02878 11153.3 1.03042 11153.9 1.0307 11154.4 1.02953 11155 1.02664 11155.5 1.02255 11156.1 1.01736 11156.6 1.01227 11157.2 1.00722 11157.8 1.00288 11158.4 0.999455 11158.9 0.996831 11159.5 0.994692 11160.1 0.992817 11160.7 0.991008 11161.3 0.989399 11161.8 0.987777 11162.4 0.985968 11163 0.984257 11163.6 0.982618 11164.2 0.981188 11164.8 0.980239 11165.4 0.97976 11166 0.979801 11166.7 0.980509 11167.3 0.981659 11167.9 0.983418 11168.5 0.985964 11169.2 0.98924 11169.8 0.99296 11170.4 0.997348 11171 1.00241 11171.7 1.00753 11172.3 1.01263 11173 1.01784 11173.6 1.02281 11174.3 1.02732 11174.9 1.03104 11175.6 1.03373 11176.2 1.03545 11176.9 1.03628 11177.6 1.0362 11178.2 1.03509 11178.9 1.03354 11179.6 1.03142 11180.2 1.02936 11180.9 1.0274 11181.6 1.02576 11182.3 1.02436 11183 1.0231 11183.7 1.02171 11184.4 1.02029 11185.1 1.01888 11185.8 1.01735 11186.5 1.01585 11187.2 1.01436 11187.9 1.01307 11188.6 1.01197 11189.3 1.01107 11190 1.00989 11190.8 1.00845 11191.5 1.00642 11192.2 1.00365 11193 1.00019 11193.7 0.996448 11194.4 0.992833 11195.2 0.989757 11195.9 0.987542 11196.7 0.98595 11197.4 0.985445 11198.2 0.985712 11198.9 0.986641 11199.7 0.988159 11200.4 0.990108 11201.2 0.992424 11202 0.994807 11202.7 0.997341 11203.5 0.999573 11204.3 1.00116 11205.1 1.00171 11205.9 1.00103 11206.6 0.99868 11207.4 0.99469 11208.2 0.989148 11209 0.982604 11209.8 0.97532 11210.6 0.968113 11211.4 0.96124 11212.2 0.955283 11213.1 0.950229 11213.9 0.94648 11214.7 0.943826 11215.5 0.94216 11216.3 0.941168 11217.1 0.940709 11218 0.940425 11218.8 0.939683 11219.6 0.940099 11220.5 0.94102 11221.3 0.940652 11222.2 0.940841 11223 0.941994 11223.9 0.94383 11224.7 0.946368 11225.6 0.949628 11226.4 0.953239 11227.3 0.956919 11228.2 0.960919 11229 0.965162 11229.9 0.969714 11230.8 0.974425 11231.7 0.979373 11232.5 0.984187 11233.4 0.989187 11234.3 0.994054 11235.2 0.998843 11236.1 1.00299 11237 1.00645 11237.9 1.009 11238.8 1.01039 11239.7 1.01092 11240.6 1.01082 11241.5 1.01029 11242.4 1.00957 11243.4 1.00903 11244.3 1.00829 11245.2 1.00783 11246.1 1.00768 11247 1.00746 11248 1.00722 11248.9 1.00629 11249.9 1.00448 11250.8 1.00227 11251.7 0.999675 11252.7 0.997132 11253.6 0.995011 11254.6 0.993053 11255.6 0.991231 11256.5 0.989357 11257.5 0.987148 11258.4 0.984352 11259.4 0.980915 11260.4 0.977229 11261.4 0.97338 11262.3 0.969671 11263.3 0.966101 11264.3 0.962617 11265.3 0.959448 11266.3 0.95625 11267.3 0.953146 11268.3 0.949973 11269.3 0.946932 11270.3 0.944084 11271.3 0.941536 11272.3 0.939262 11273.3 0.937416 11274.3 0.935829 11275.3 0.934198 11276.4 0.932938 11277.4 0.931799 11278.4 0.930846 11279.4 0.930215 11280.5 0.929846 11281.5 0.929316 11282.5 0.928398 11283.6 0.927255 11284.6 0.925588 11285.7 0.923908 11286.7 0.922452 11287.8 0.921704 11288.8 0.921618 11289.9 0.92259 11291 0.924658 11292 0.927581 11293.1 0.931209 11294.2 0.934983 11295.3 0.938487 11296.3 0.941488 11297.4 0.943966 11298.5 0.945762 11299.6 0.946942 11300.7 0.947301 11301.8 0.946876 11302.9 0.945789 11304 0.944368 11305.1 0.942855 11306.2 0.94162 11307.3 0.940951 11308.4 0.940835 11309.5 0.941359 11310.6 0.942434 11311.7 0.943927 11312.9 0.945641 11314 0.947404 11315.1 0.949171 11316.3 0.950879 11317.4 0.952492 11318.5 0.954127 11319.7 0.955676 11320.8 0.956992 11322 0.958743 11323.1 0.960804 11324.3 0.96237 11325.4 0.964345 11326.6 0.965451 11327.8 0.966509 11328.9 0.966418 11330.1 0.96556 11331.3 0.963664 11332.5 0.961504 11333.6 0.958435 11334.8 0.954939 11336 0.951391 11337.2 0.948632 11338.4 0.945151 11339.6 0.942432 11340.8 0.940031 11342 0.938163 11343.2 0.936652 11344.4 0.935336 11345.6 0.933666 11346.8 0.932125 11348 0.929137 11349.2 0.927017 11350.5 0.923989 11351.7 0.92081 11352.9 0.917716 11354.1 0.915041 11355.4 0.909099 11356.6 0.907727 11357.9 0.904106 11359.1 0.900773 11360.3 0.897494 11361.6 0.894216 11362.9 0.890492 11364.1 0.888767 11365.4 0.88598 11366.6 0.883518 11367.9 0.881912 11369.2 0.880958 11370.4 0.880501 11371.7 0.880285 11373 0.88058 11374.2 0.881195 11375.5 0.882873 11376.8 0.885188 11378.1 0.887634 11379.4 0.889588 11380.7 0.891777 11382 0.89355 11383.3 0.89585 11384.6 0.897857 11385.9 0.899601 11387.2 0.90136 11388.5 0.902561 11389.8 0.904394 11391.2 0.906141 11392.5 0.907528 11393.8 0.908472 11395.1 0.909094 11396.5 0.909653 11397.8 0.909668 11399.1 0.909638 11400.5 0.90939 11401.8 0.908834 11403.2 0.908354 11404.5 0.90781 11405.9 0.907288 11407.2 0.906627 11408.6 0.905804 11410 0.904585 11411.3 0.903142 11412.7 0.901695 11414.1 0.900455 11415.4 0.899277 11416.8 0.898468 11418.2 0.897872 11419.6 0.897654 11421 0.897509 11422.3 0.897343 11423.7 0.897055 11425.1 0.896344 11426.5 0.89525 11427.9 0.894028 11429.3 0.89262 11430.7 0.891025 11432.1 0.889429 11433.6 0.887978 11435 0.886668 11436.4 0.885531 11437.8 0.884601 11439.2 0.883363 11440.7 0.882163 11442.1 0.881011 11443.5 0.879984 11445 0.878822 11446.4 0.877557 11447.9 0.876116 11449.3 0.874208 11450.8 0.872311 11452.2 0.870305 11453.7 0.86812 11455.1 0.865758 11456.6 0.863252 11458.1 0.860646 11459.5 0.858223 11461 0.855924 11462.5 0.853822 11463.9 0.852174 11465.4 0.850812 11466.9 0.849615 11468.4 0.848503 11469.9 0.847407 11471.4 0.846168 11472.9 0.844859 11474.4 0.843255 11475.9 0.842329 11477.4 0.840783 11478.9 0.839583 11480.4 0.838765 11481.9 0.838393 11483.4 0.838762 11484.9 0.839482 11486.5 0.840675 11488 0.841955 11489.5 0.84329 11491 0.845159 11492.6 0.846402 11494.1 0.847668 11495.7 0.848695 11497.2 0.849368 11498.8 0.849534 11500.3 0.849592 11501.9 0.849444 11503.4 0.849193 11505 0.848948 11506.5 0.848545 11508.1 0.848284 11509.7 0.848245 11511.2 0.848079 11512.8 0.848143 11514.4 0.84799 11516 0.84793 11517.6 0.847579 11519.2 0.8472 11520.7 0.846791 11522.3 0.845936 11523.9 0.844908 11525.5 0.843699 11527.1 0.842461 11528.7 0.841189 11530.3 0.839853 11531.9 0.838555 11533.6 0.837682 11535.2 0.836348 11536.8 0.83515 11538.4 0.833645 11540.1 0.832332 11541.7 0.830967 11543.3 0.829624 11544.9 0.828343 11546.6 0.826875 11548.2 0.825521 11549.9 0.823931 11551.5 0.822495 11553.2 0.820973 11554.8 0.819574 11556.5 0.818469 11558.1 0.81689 11559.8 0.815671 11561.5 0.814426 11563.1 0.812933 11564.8 0.811544 11566.5 0.810083 11568.2 0.8085 11569.8 0.806912 11571.5 0.805552 11573.2 0.804282 11574.9 0.803008 11576.6 0.801818 11578.3 0.800736 11580 0.799754 11581.7 0.799147 11583.4 0.798448 11585.1 0.798138 11586.8 0.7976 11588.5 0.797195 11590.3 0.796559 11592 0.796329 11593.7 0.79578 11595.4 0.795234 11597.2 0.794658 11598.9 0.794121 11600.6 0.793339 11602.4 0.792512 11604.1 0.791695 11605.8 0.790953 11607.6 0.79015 11609.3 0.789494 11611.1 0.788989 11612.9 0.788715 11614.6 0.788639 11616.4 0.788624 11618.1 0.788619 11619.9 0.78855 11621.7 0.788383 11623.5 0.788352 11625.2 0.787783 11627 0.787363 11628.8 0.787078 11630.6 0.786715 11632.4 0.786264 11634.2 0.785874 11636 0.785362 11637.8 0.784927 11639.6 0.784391 11641.4 0.783992 11643.2 0.783378 11645 0.78282 11646.8 0.782234 11648.6 0.781451 11650.5 0.78068 11652.3 0.779875 11654.1 0.778948 11655.9 0.778143 11657.8 0.777083 11659.6 0.776043 11661.4 0.774855 11663.3 0.773815 11665.1 0.772619 11667 0.771475 11668.8 0.770265 11670.7 0.768973 11672.5 0.76772 11674.4 0.766397 11676.3 0.76504 11678.1 0.763755 11680 0.762078 11681.9 0.760597 11683.8 0.759264 11685.6 0.757811 11687.5 0.7565 11689.4 0.755126 11691.3 0.753884 11693.2 0.752797 11695.1 0.75147 11697 0.7503 11698.9 0.749237 11700.8 0.748208 11702.7 0.747103 11704.6 0.745608 11706.5 0.744238 11708.4 0.743431 11710.3 0.742369 11712.3 0.741383 11714.2 0.740416 11716.1 0.739667 11718 0.738986 11720 0.738432 11721.9 0.737895 11723.8 0.737349 11725.8 0.736899 11727.7 0.736235 11729.7 0.73571 11731.6 0.735243 11733.6 0.734722 11735.5 0.734191 11737.5 0.733615 11739.5 0.733246 11741.4 0.732616 11743.4 0.732143 11745.4 0.731501 11747.4 0.730787 11749.3 0.730196 11751.3 0.72953 11753.3 0.728841 11755.3 0.728253 11757.3 0.727464 11759.3 0.726717 11761.3 0.725916 11763.3 0.725284 11765.3 0.724509 11767.3 0.72382 11769.3 0.723051 11771.3 0.722422 11773.3 0.721674 11775.3 0.720886 11777.4 0.719967 11779.4 0.719273 11781.4 0.718466 11783.4 0.717627 11785.5 0.716965 11787.5 0.716167 11789.6 0.715378 11791.6 0.714603 11793.6 0.713597 11795.7 0.71248 11797.7 0.711773 11799.8 0.710604 11801.9 0.709637 11803.9 0.708846 11806 0.707962 11808 0.706996 11810.1 0.705991 11812.2 0.704854 11814.3 0.703757 11816.4 0.702803 11818.4 0.701723 11820.5 0.701796 11822.6 0.699663 11824.7 0.698597 11826.8 0.697511 11828.9 0.696389 11831 0.695257 11833.1 0.694162 11835.2 0.693043 11837.3 0.691881 11839.4 0.690638 11841.5 0.689515 11843.7 0.688346 11845.8 0.687372 11847.9 0.686285 11850 0.685264 11852.2 0.684225 11854.3 0.68322 11856.4 0.682202 11858.6 0.681267 11860.7 0.680434 11862.9 0.679524 11865 0.678742 11867.2 0.677882 11869.3 0.676941 11871.5 0.676041 11873.6 0.675287 11875.8 0.674518 11878 0.673788 11880.1 0.673164 11882.3 0.672399 11884.5 0.671799 11886.7 0.671015 11888.9 0.670269 11891.1 0.669588 11893.2 0.668932 11895.4 0.668242 11897.6 0.667673 11899.8 0.666924 11902 0.666283 11904.2 0.665503 11906.4 0.664797 11908.6 0.663975 11910.9 0.663349 11913.1 0.662558 11915.3 0.66181 11917.5 0.661087 11919.7 0.660196 11922 0.659283 11924.2 0.658418 11926.4 0.657574 11928.7 0.656776 11930.9 0.65586 11933.2 0.655053 11935.4 0.654188 11937.7 0.653299 11939.9 0.652468 11942.2 0.651589 11944.4 0.65056 11946.7 0.649542 11949 0.648679 11951.2 0.647722 11953.5 0.646826 11955.8 0.64585 11958 0.64493 11960.3 0.644015 11962.6 0.643006 11964.9 0.642 11967.2 0.64106 11969.5 0.640066 11971.8 0.63908 11974.1 0.638023 11976.4 0.637023 11978.7 0.636068 11981 0.635192 11983.3 0.63413 11985.6 0.633148 11987.9 0.63218 11990.2 0.631273 11992.6 0.630139 11994.9 0.629191 11997.2 0.628161 11999.6 0.627092 12001.9 0.626041 12004.2 0.625132 12006.6 0.624173 12008.9 0.623269 12011.3 0.622329 12013.6 0.621356 12016 0.620418 12018.3 0.619542 12020.7 0.618666 12023 0.617792 12025.4 0.616848 12027.8 0.615993 12030.1 0.614905 12032.5 0.614053 12034.9 0.613177 12037.3 0.612383 12039.7 0.611565 12042 0.610769 12044.4 0.609943 12046.8 0.609087 12049.2 0.608294 12051.6 0.607681 12054 0.606888 12056.4 0.606057 12058.8 0.605266 12061.3 0.604448 12063.7 0.603678 12066.1 0.602948 12068.5 0.602144 12070.9 0.601578 12073.3 0.600482 12075.8 0.599578 12078.2 0.598846 12080.7 0.598034 12083.1 0.597152 12085.5 0.596272 12088 0.59575 12090.4 0.594629 12092.9 0.593704 12095.3 0.59286 12097.8 0.591869 12100.2 0.590959 12102.7 0.590082 12105.2 0.589113 12107.6 0.588224 12110.1 0.587208 12112.6 0.586266 12115.1 0.585385 12117.5 0.584353 12120 0.583431 12122.5 0.582639 12125 0.581573 12127.5 0.580564 12130 0.579808 12132.5 0.578611 12135 0.57765 12137.5 0.576888 12140 0.576285 12142.5 0.575041 12145 0.574038 12147.6 0.573144 12150.1 0.572083 12152.6 0.570974 12155.1 0.57004 12157.7 0.56914 12160.2 0.568162 12162.7 0.567145 12165.3 0.566097 12167.8 0.564936 12170.3 0.563995 12172.9 0.563058 12175.5 0.562305 12178 0.561343 12180.6 0.560539 12183.1 0.55911 12185.7 0.558366 12188.2 0.557378 12190.8 0.556469 12193.4 0.55561 12196 0.554807 12198.5 0.553826 12201.1 0.552867 12203.7 0.552022 12206.3 0.551093 12208.9 0.550185 12211.5 0.549191 12214.1 0.548325 12216.7 0.546994 12219.3 0.547146 12221.9 0.545701 12224.5 0.544847 12227.1 0.543904 12229.7 0.543134 12232.3 0.542242 12235 0.541376 12237.6 0.540541 12240.2 0.539643 12242.8 0.538694 12245.5 0.537828 12248.1 0.536987 12250.7 0.536166 12253.4 0.535344 12256 0.534433 12258.7 0.53349 12261.3 0.532554 12264 0.531643 12266.6 0.530975 12269.3 0.530064 12272 0.529255 12274.6 0.52835 12277.3 0.52751 12280 0.526535 12282.7 0.52607 12285.3 0.524771 12288 0.523815 12290.7 0.522866 12293.4 0.522025 12296.1 0.52107 12298.8 0.520191 12301.5 0.519274 12304.2 0.518299 12306.9 0.517325 12309.6 0.516344 12312.3 0.515433 12315 0.514439 12317.7 0.513427 12320.4 0.512554 12323.1 0.511459 12325.9 0.51049 12328.6 0.509465 12331.3 0.508592 12334.1 0.507624 12336.8 0.506694 12339.5 0.505758 12342.3 0.504771 12345 0.503841 12347.8 0.502924 12350.5 0.502 12353.3 0.501159 12356.1 0.500134 12358.8 0.499248 12361.6 0.498318 12364.3 0.497529 12367.1 0.496382 12369.9 0.495439 12372.7 0.494446 12375.4 0.49372 12378.2 0.49286 12381 0.491949 12383.8 0.491076 12386.6 0.490127 12389.4 0.489217 12392.2 0.488338 12395 0.487484 12397.8 0.486529 12400.6 0.485669 12403.4 0.48486 12406.2 0.484025 12409 0.483013 12411.8 0.48214 12414.7 0.481318 12417.5 0.480401 12420.3 0.479643 12423.2 0.478637 12426 0.477611 12428.8 0.476924 12431.7 0.476121 12434.5 0.475338 12437.3 0.474484 12440.2 0.47356 12443 0.472701 12445.9 0.471815 12448.8 0.470943 12451.6 0.469974 12454.5 0.469051 12457.4 0.468153 12460.2 0.467306 12463.1 0.466726 12466 0.46535 12468.9 0.464637 12471.7 0.463656 12474.6 0.462739 12477.5 0.461726 12480.4 0.460815 12483.3 0.459873 12486.2 0.458994 12489.1 0.457987 12492 0.457083 12494.9 0.45614 12497.8 0.455248 12500.7 0.454344 12503.6 0.453401 12506.6 0.452357 12509.5 0.451344 12512.4 0.450376 12515.3 0.449478 12518.3 0.448567 12521.2 0.447516 12524.1 0.446573 12527.1 0.445669 12530 0.444739 12533 0.44379 12535.9 0.442822 12538.9 0.441962 12541.8 0.441 12544.8 0.440127 12547.7 0.439255 12550.7 0.438255 12553.7 0.437611 12556.6 0.436631 12559.6 0.435688 12562.6 0.434739 12565.6 0.433898 12568.6 0.432955 12571.5 0.431987 12574.5 0.431045 12577.5 0.43021 12580.5 0.429236 12583.5 0.428287 12586.5 0.427439 12589.5 0.426567 12592.5 0.425681 12595.5 0.424834 12598.6 0.423796 12601.6 0.422898 12604.6 0.421943 12607.6 0.421083 12610.6 0.420465 12613.7 0.419344 12616.7 0.418344 12619.7 0.417459 12622.8 0.416541 12625.8 0.415841 12628.9 0.414904 12631.9 0.414064 12634.9 0.41328 12638 0.412267 12641.1 0.411293 12644.1 0.410363 12647.2 0.409439 12650.3 0.408459 12653.3 0.407586 12656.4 0.406866 12659.5 0.405866 12662.6 0.404949 12665.6 0.404108 12668.7 0.40321 12671.8 0.402229 12674.9 0.401325 12678 0.400433 12681.1 0.399223 12684.2 0.398796 12687.3 0.397745 12690.4 0.396739 12693.5 0.395853 12696.6 0.394866 12699.7 0.393879 12702.8 0.392968 12705.9 0.392529 12709.1 0.391478 12712.2 0.390382 12715.3 0.389478 12718.5 0.388586 12721.6 0.387618 12724.7 0.386675 12727.9 0.385809 12731 0.384745 12734.2 0.383599 12737.3 0.382924 12740.5 0.382006 12743.6 0.381134 12746.8 0.380197 12749.9 0.379197 12753.1 0.378261 12756.3 0.377318 12759.4 0.376331 12762.6 0.375382 12765.8 0.37456 12769 0.373618 12772.2 0.372643 12775.4 0.371497 12778.5 0.370478 12781.7 0.36958 12784.9 0.368643 12788.1 0.367694 12791.3 0.366771 12794.5 0.365828 12797.7 0.364898 12801 0.363892 12804.2 0.36293 12807.4 0.362503 12810.6 0.360994 12813.8 0.360172 12817.1 0.35914 12820.3 0.358217 12823.5 0.357312 12826.8 0.356363 12830 0.355414 12833.2 0.354541 12836.5 0.353643 12839.7 0.352713 12843 0.351809 12846.2 0.350917 12849.5 0.350013 12852.7 0.349121 12856 0.348217 12859.3 0.347306 12862.5 0.346369 12865.8 0.34542 12869.1 0.344573 12872.4 0.343675 12875.6 0.342662 12878.9 0.341777 12882.2 0.340898 12885.5 0.339962 12888.8 0.338974 12892.1 0.337943 12895.4 0.337076 12898.7 0.336153 12902 0.335357 12905.3 0.334452 12908.6 0.333503 12911.9 0.332516 12915.3 0.331611 12918.6 0.330834 12921.9 0.329841 12925.2 0.329006 12928.6 0.32807 12931.9 0.327172 12935.2 0.326325 12938.6 0.325427 12941.9 0.32456 12945.2 0.323529 12948.6 0.322541 12952 0.321662 12955.3 0.320739 12958.7 0.31979 12962 0.31886 12965.4 0.317803 12968.7 0.316802 12972.1 0.31593 12975.5 0.314981 12978.9 0.314019 12982.2 0.313102 12985.6 0.31228 12989 0.311287 12992.4 0.310338 12995.8 0.309497 12999.2 0.308529 13002.6 0.307688 13006 0.306739 13009.4 0.305631 13012.8 0.304624 13016.2 0.303764 13019.6 0.302771 13023 0.301847 13026.4 0.300923 13029.8 0.300083 13033.3 0.299134 13036.7 0.298236 13040.1 0.29735 13043.6 0.296471 13047 0.29549 13050.5 0.294376 13053.9 0.293777 13057.3 0.292822 13060.8 0.29193 13064.2 0.291025 13067.7 0.290013 13071.2 0.28921 13074.6 0.288389 13078.1 0.287389 13081.5 0.286503 13085 0.285599 13088.5 0.284611 13092 0.283554 13095.4 0.282586 13098.9 0.281694 13102.4 0.280764 PyMca5-5.2.2/PyMca5/PyMcaData/HTML/0000755000276300001750000000000013205526235016373 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaData/HTML/pInt.png0000644000276300001750000000160713136054446020022 0ustar solebliss00000000000000PNG  IHDR+ 0PLTE/ݠ{tRNSTv"f2D>IDATH UKhQ=if&bQn BgQJŠ4 t@(7Yt  (]T7ivוDhYPZ;ɻIӻ=sn޼y|BiGGVOqޓMˡƤ͇fVo͇fgC;}}tWS9&D~4 Lg7y ?lIY-^9_fnkw*us;&]b+ vBn:Y(>2`j`Ѷ%Y3p8#,>4"QGQܥrsadht&(3¢b=voD@+"\;9m8IC`&Z[3hX)# T\S:ٹFt] d:A q}zmp: (F@ b?}aioXOWm :U $ .X֎{pOKe8Ri)GכRIa̤[6hsH%(Nr[n8HV$Z7Vn+*^;u5۩At׏T ݪk=j<IENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/sz.png0000644000276300001750000000307213136054446017542 0ustar solebliss00000000000000PNG  IHDR*ը0PLTE/ݠ{tRNSvT2f"D@p%IDATX W}hE6ݻ|QJ9mbrڂ 74B,l kQzGU{m ֲƨZ<sR3תDRBDJ%W|3ssG f߼y;3v?HX,Ltps1ꄰL/^O2gJQ+2·u= њR?B I\J 3hUt0kE7B) Bڳ2B9d BHJ^aC1`d8&VSo$d=)@I, ;l-edvijZ`=Zh77/d9F/DR23 RH ABma1qDٶ@ E@S 0&teaHpK ԙW;:qpW\ {9DʤL8]!NAgAX791U8- ;9S4=}LRAz]D-8~*>Ȭ7cN!<%/{Syl!Sܬ-Dpd F#CP{ NyY 15R/x4= 0K(b9h!>n2dR{|I<1 5` qr+ey{Σ@.]z]}Sc`<R朆Ϙ*T 6Aq|Döx> GI;tLiB. >Mp@9œp_(]^HPVZutY%c=pɄ >"Τ9#MPI 6ӏsþP;L록3fwn :fMyHDo1ڲ456hGwz`šV*HR1 `+`+R%bR'joF#Gyk@ad/\Cn'NOQm%pVN%Mm74SLH+.շo klC*+/y2Wgm%/WJWn*{2y F-g K3)28WPܾɻ"IG#FlGx}bt!k4F @\ăL''D >x7@x@-;$x5' ~e i=S.SSVEY8X 1~EV2(<v=A%2[{vE 2~.'7'I 67税YA*|B* *Ar-zǥUQ/}U >_jBA V5tCaYIENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/XMCDInfotext.html0000644000276300001750000010627213136054446021550 0ustar solebliss00000000000000

XLD/XMCD Analysis HOWTO

Contents


1. Usage
2. Description
   2.1 Top row
   2.2 Options window
      2.2.1 Normalization
      2.2.2 Interpolation
      2.2.3 Motor selection
   2.3 Table
   2.4 Analysis window
3. Extend the automatic assignment
   3.1 Edit the experiments dictionary
   3.2 Edit the drop down menu
   3.3 Edit the selectExperiment function

Synopsis

Xray linear dichroism (XLD) and Xray magnetic circular dichroism (XMCD) measurements as performed at Beamlines ID08 and ID12 of the ESRF probe the sample with x-rays of two different polarizations. From two spectra with different polarizations, one calculates the difference spectrum (the XLD/XMCD spectrum) as well as the average spectrum (XAS spectrum). The present plug-in aims to ease the evaluation process.

To assign the recorded spectra into two groups (labeled 'A' and 'B') depending on their polarization, the plug-in displays meta data obtained from the spec file and provides methods to automate the assignment process. A separate plot window allows a preview on calculated XLD/XMCD spectra. Several options relevant to the treatment of the data can be specified and saved. The results of an analysis can be exported into spec-files.

up

1. Usage

From the open spec-File, select the relevant scans in the scan selection window on the left side of your PyMca session. Assign the relevant counters to the respective axes and load the scans in the plot window on the right. Load the plug-in from the plug-in menu (gearbox item in the top row of the plot window). Notice that if one selects a section of the data by zooming in before starting the plug-in, only the data within that energy range is used for the analysis.

The selected spectra now appears in the table of the plug-in. Per default, the spectra remain unassigned as indicated by the drop down menu showing the entry 'Generic dichroism'. Either one selects an existing experiment from the drop down menu (which also provides automatic division of spectra into groups) or does all settings by hand using the options menu. The options menu also allows to determine if and when a normalization is applied to the spectra and the specifics of the interpolation carried out during the calculation.
If all necessary information is displayed in the table, the assignment of spectra to either group 'A' or 'B' can be done by right-clicking on the table. A context menu appears offering several ways to assign a selected spectrum a group.

Once a selection is made, the result of calculations is displayed immediately in the analysis window. An average is calculated on the spectra that belong to groups 'A' and 'B' (curves labeled avg_A resp. avg_B). The difference spectrum (curve labeled XMCD) is calculated as Avg(B)- Avg(A). The XAS spectrum is calculated as the average of both groups: (Avg(A) + Avg(B))/2
The finished analysis can be saved in a spec file using the Save Button in the top button row of the analysis window.

up

2. Description

The plug-in consists of four elements: the top row of buttons, the table listing the spectra and the analysis window. Another important element is the options window.

2.1 Top row

The top row contains the following buttons in order from left to right: the Update Button, the Options Button and the Experiment Selection.
Update Button
Loads plots from the main window of the PyMca session into the plug-in. Notice: If the plot window of the main application is zoomed in or out, only the data within the zoomed in energy range is considered for analysis. After zooming in or out in the main application, the spectra in the plug-in should be updated.
Options Button
Allows to specify the plug-in behavior during the analysis. For information in can be found in section 2.2.
Experiment Selection:
The options for the experiments carried out at beamlines ID08 and ID12 are embedded in the plug-in. Selecting one of the experiments sets these options and divides the spectra automatically into groups 'A' and 'B'. A new experimental configuration can be added using the 'Add new configuration' option. A window will open and ask the user to name the configuration. Once accepted, an option window is opened and can be used to define the experimental configuration. This can be done by either loading an existing configuration or by specifying it by hand. The new experimental configuration can now be selected in the drop down menu and remains there until the end of the PyMca session. It sets all options as specified, however the spectra assignment into groups has still to be done by hand.

up

2.2 Options Window

With the Options Window, the user can control the details of the analysis and determine the information shown in the table. A configuration made in the Options Window can be saved and an existing configuration can be loaded. Notice that once the 'OK' button is clicked, the analysis is immediately recalculated.

The saved options are stored in a config file. If the result of a XLD/XMCD analysis is saved a spec file, the current configuration is automatically saved in a separate file.

up

2.2.1 Normalization

One can select if and when a normalization is applied, the normalization method can be specified. Either no normalization is applied at all or it is applied before performing the averages over groups 'A' and 'B'. The third option is to perform the normalization after averaging over both groups.

The following table explains the various normalization methods in detail.
Option Explanation
(y-min(y))
/trapz(max(y)-min(y),x)		 Default selection. Subtracts the minimum value as offset from the spectrum and normalizes it to its integral
y/max(y) Normalizes the curve to its maximum value
(y-min(y))
/(max(y)-min(y))		 Subtracts the minimum value as offset from the spectrum and normalizes to the resulting maximum, effectively putting all spectral values between zero and one
(y-min(y))
/sum(max(y)-min(y))		 Similar to the default options, but uses the summation over all spectral values instead of the integral

up

2.2.2 Interpolation

The plug-in performs an interpolation of the spectra selected to be used in the analysis before calculation averages and differences. In the "Interpolation x-range" section the user can select, which energy range is used for interpolation. To guarantee numerical stability of the interpolation, the spectra are cleaned up before being copied from the main application to the plug-in. The clean up process consists of sorting the data with respect to the energy (i.e. x) range as well as removing energies that have been measured twice.

One can chose between selecting one of the energy ranges that actually have been measured or let the plug-in determine a equidistant energy range, which might be beneficial for further analysis such as Savitzky-Golay smoothing. Options that conserve at least one measured energy range are 'First curve in sequence' or 'Active curve' (i.e. taking the active curve in the plot window of the main application).

up

2.2.3 Motor Selection

The drop down menus allow to select the motors positions to be shown in the plug-in table. Notice that all motors in the drop down menu are not hard coded in the plug-in but are obtained dynamically from meta data in the spec file. Motor names are treated case sensitive by the plug-in.
Motors for ID08 are:
phaseD, PhaseD, oxPS, magnet
Motors for ID12 are:
Phase, PhaseA, BRUKER, CRYO, OXFORD
Notice that ID12 also uses different counters to differ between polarizations.

up

2.3 Table

The table, positioned beneath the top row, shows the spectra that are included in the XLD/XMCD analysis. The table shows the group to which a curve is assigned, the curves' legend, the scan number and the counter of a spectrum. The remaining columns display settings of various physical or virtual motors that were recorded during the course of the measurement and stored in the meta data of the spec file. Every column of the table can be used to sort it with respect to the values in this column by double clicking the right top corner of the respective header section.

Right click on the table provides the user with a context menu with the following options:
Perform Analysis
Although most calculation is triggered automatically upon selection of a set of scans, selecting this option forces the plug-in to recalculate the XLD/XMCD spectrum.
Set as A resp. Set as B
Assigns a scan selected in the table to the respective group and triggers a recalculation of the XLD/XMCD Analysis.
Enter sequence
Opens a window and allows to enter a sequence of letters ('A', 'B', 'D'). The spectra in the table are sorted after their scan number and assigned into groups 'A' and 'B' based on the sequence, 'D' leaves a spectrum unselected. If no scan number is present, the spectra remain unsorted. The length of the sequence does not need to match the number of spectra. If the length of the sequence is smaller than the number of spectra, the plug-in assumes the entered sequence as a pattern and repeats it.
Remove selection
Removes a scan from the selection, effectively setting its group to 'D'
Invert selection
Selects scans in the table that are not selected yet and deselects the selected scans.
Remove curves
Removes curves from the table and the plot window in the main application.

up

2.4 Analysis Window

The analysis window beneath the table shows the result of the XLD/XMCD analysis. Four curves are displayed: the arithmetic averages over groups A and B, the XAS spectrum (an arithmetic average over the averages of groups A and B) and the difference spectrum (group B - group A) called the XMCD spectrum.

Notice that the XMCD spectrum usually is not in the same order of magnitude as the average spectra and the XAS spectrum. Thus, the XMCD spectrum is plotted to the secondary y axis on the right. In order to hide individual spectra, one can right-click on the legend and select 'Hide curve'.

In the analysis window behaves exactly like the plot window of the main application. The plot can be zoomed and the spectra can be manipulated using the usual tools of PyMca. Only the save routine has been modified to the specific demands of XLD/XMCD analysis.
Save routine
The save icon in the analysis window allows the users to save all results of the XLD/XMCD analysis at once in a single spec file. The data is divided into multiple columns. The first column contains the energy range over which the analysis is carried out, followed by the averages over groups 'A' and 'B'. The last two columns are occupied by the XLD/XMCD spectra.
The save dialog also allows to enter a comment that will be written in the spec file. If multiple datasets are analyzed consecutively, the results can be still saved in a single spec file by selecting the 'Append to existing file' option. Every individual scan is saved in a separate file, too. Therefore, the original file name is extended by an underscore and the number of scans already present in the file to which the analysis is appended to.
Along with the data, the configuration from the options menu is also saved under the same file name, but with the extension 'cfg'.
Buttons Add, Add all, Replace and Replace All
Allow to push the resulting spectra from the plug-in window to the plot window of the main application. While 'Add' and 'Replace' only affect the active curve in the plug-in plot window, 'Add all' and 'Replace all' copy all curves from the analysis to the main application. Notice: If one plans to compare two or more analyzed spectra by consecutively pushing them to the main window, the spectra should be renamed beforehand. The name for each analyzed spectrum remains the same (avg_A, avg_B, XMCD, XAS) and moving spectra of the same name to the plot window in the main application just replaces them there.

up

3. Extend the automatic assignment

The scope of this paragraph is to explain the additions to the source code necessary to make to define a new experiment. The paragraph assumes entry level knowledge of the Python programming language.

Data measured on beamline ID08 or ID12 of the ESRF can automatically be assigned to one of groups 'A' or 'B', as long as it is saved in spec files. By selecting one of the experiments from the drop down menu in the top row, the XLD/XMCD plug-in sets the motors resp. counters controlling the polarization in the options menu. This displays the respective values in the plug-ins table. To achieve the automatic assignment, the plug-in reads the displayed values and guesses the affiliation of a spectrum based on a set of rules.

up

3.1 Edit the experiments dictionary

The experiments dictionary contains the settings specific to an experiments. The options concern the normalization settings and method, the interpolation settings and most importantly the motors on which the assignment depends.

The following code fragment shows the exemplary entry 'Generic Dichroism' in the experiments dictionary. 
self.experimentsDict = {
    'Generic Dichroism': {
          'xrange': 0,
          'normalization': 0,
          'normalizationMethod': 'offsetAndArea',
          'motor0': '',
          'motor1': '',
          'motor2': '',
          'motor3': '',
          'motor4': ''
    },
    ...
}
Notice that every experiment is represented by a dictionary itself, with the different options as keys and the respective settings as values. Valid values for each option, as well as the necessary types are shown in the following table.
Option Type Values: Explanation
xrange Int 0: First curve in sequence
1: Active curve
2: Equidistant x-range
normalization Int 0: No normalization
1: Normalize after average
2: Normalize before average
normalizationMethod String OffsetAndArea: Subtracts minimum and normalizes to the integral, OffsetAndCounts: Subtracts minimum and normalizes to the sum, OffsetAndMaximum: Subtracts minimum and normalizes to the maximum NormToMaximum: Normalizes to the maximum
motor0,
motor1,
motor2,
motor3,
motor4		 String Assumes knowledge of the motor settings in the experimental apparatus. If unsure, consult the Motor Info plug-in or a Beamline Scientist.
Notice that up to five motors can be specified, however no motor must be specified. If a motor is not needed, just set the variable to an empty string.

up

3.2 Edit the drop down menu

Now that a new experiment is present in the experiments dictionary, it can be added into the selection of the drop down menu. The drop down menu itself is a QComboBox whose items are added using the addItem member function. The explicit code to do so (at least in the initial version of this program) looks as follows: 
self.expCBox.addItems(
    ['Generic Dichroism',
    'ID08: XLD 9 Tesla Magnet',
    'ID08: XLD 5 Tesla Magnet',
    'ID08: XMCD 9 Tesla Magnet',
    'ID08: XMCD 5 Tesla Magnet',
    'ID12: XLD (quater wave plate)',
    'ID12: XMCD (Flipper)',
    'ID12: XMCD',
    'Add new configuration'])
It is important, that the registered string is the exact key of the experiment in the experiments dictionary. New experiments should be added above the 'Add new configuration' option.
up

3.3 Edit the selectExperiment function

The selectExperiment function is called every time a item from the drop down menu is selected. In the process, the selected option is passed on to the function as a string. Based on this string, the function then sets the options as defined in the experiments dictionary. This triggers the table of the plug-in to display the information, especially if motors are present in the options.

In a second step, the function reads all values shown in the tables motor columns (that is columns 4 to 8). If needed (as in case of two of the ID12 experiments), the counter column (no. 3) might as well be read out. The code fragment below shows the updating of the table and the readout. 
self.updateTree()
values0 = numpy.array(
    self.list.getColumn(4, convertType=float))
values1 = numpy.array(
    self.list.getColumn(5, convertType=float))
values2 = numpy.array(
    self.list.getColumn(6, convertType=float))
values3 = numpy.array(
    self.list.getColumn(7, convertType=float))
values4 = numpy.array(
    self.list.getColumn(8, convertType=float))
The table function getColumn returns the entries of a table column as a list while conserving the current order of the table rows. The type of the list elements can be specified using the convertType option. The numpy Arrays values0 to values4 now contain different motor positions, each values array has the length of the number of scans in question

The next section consists of a succession of if/else statements to determine the specific experiment. Within such a statement, the values from the table are reduced to a single vector named 'values' that determines the affiliation of a spectrum to groups 'A' or 'B'. This array contains numerical values for every spectrum. The second step here is to set a pivot element (or threshold value), so that if the value for a spectrum is above this value, the spectrum belongs to group 'A' and below to group 'B'. New assignment routines must be implemented here as a new elif block.

In case of the XLD experiment of ID08, the decision process is shown in the code fragment below. 
if exp.startswith('ID08: XLD'):
    values = values0
    mask = numpy.where(numpy.isfinite(values))[0]
    minmax = values.take(mask)
    if len(minmax):
        vmin = minmax.min()
        vmax = minmax.max()
        vpivot = .5 * (vmax + vmin)
    else:
        values = numpy.array(
            [float('NaN')]*numOfSpectra)
In this case, the motor 'PhaseD' (or 'phaseD', depending on the magnet) determines the polarization on the sample and is thus set in the options dictionary. All motor positions are then contained in numpy array 'values0'. Since no further calculations are needed, we can directly assign 'values0' to 'values'. The pivot element in this case is calculated as the average between maximal and minimal values in 'values'.

The last step of the assignment processes is to loop though the 'values' array and check if the element is above or below threshold, as shown in the next code fragement. 
seq = ''
for x in values:
    if str(x) == 'nan':
        seq += 'D'
    elif x>vpivot:
        seq += 'A'
    else:
        seq += 'B'
self.list.setSelectionToSequence(seq)
Notice that not-a-number float values in the 'values' array are set to the dummy identifier 'D' and thus are ignored in the selection. The resulting sequence of this procedure is then passed on to the table function setToSequence, which assigns the selection. Once a selection is made, a recalculation is triggered automatically.

up PyMca5-5.2.2/PyMca5/PyMcaData/HTML/Display-HOWTO.html0000644000276300001750000001077613136054446021602 0ustar solebliss00000000000000

Data Display HOWTOs

HOWTO - Display data from SPEC
HOWTO - Display data from Specfile format files
HOWTO - Display data from EDF files
HOWTO - Display data from raw ASCII files
HOWTO - Display data from HFD5 files

Display SPEC data

PyMCA can display SPEC shared memory arrays.
Just select File-Open-SPS and select the name of the SPEC session you're interested on. Then select the array to display and the columns or rows to be displayed. You can also do that selecting the SPS tab of the source selection widget.
 

Display Specfile format data

Select File-Open-Specfile (or select the Specfile tab of the source selection widget) and browse your directories for the desired file. A list of scans will be presented showing the number of points and the number of MCAs in each of them. To select a scan just click on it. If it contains just one MCA you can then click the ADD button to add that MCA to the MCA graphics window. If it contains several MCA you will have to select the MCA tab and select the different MCAs to be plotted (click, CTRL-Click and Shift-Click supported) then click on ADD, REMOVE, REPLACE depending on the desired operation. Specfile SCAN data can be shown on the SCAN window. To do so, select the SCAN tab, select the x counter, the y(s) counters and click ADD.
 

Display ESRF Data Format (EDF) Files

Select File-Open-Edffile (or select the Edffile tab of the source selection widget) and browse your directories for the desired file. The first image of the file will be presented. Horizontal or Vertical selections can be made either a) clicking on the image or b) selecting the appropriate row or column on the bottom combo selection boxes and clicking the ADD, REMOVE, REPLACE buttons.

Multiple image EDF files are supported. Just select the appropriate image in the combo box.

Display Raw ASCII data

Single MCA raw ASCII data are handled in the same way as Specfile format files. Please refer to the Display Specfile information.

Display HDF5 file data

A simple analogy of an HDF5 file is that of the file system on a hard disk. A hard disk can contain files that can be into folders that in turn may contain other folders. An HDF5 file contains datasets (your data) that can be arranged into groups that in turn may contain other groups. The analogy goes till the point that you can create links between datasets or groups and that to access a dataset or a group you have to provide the path to it.

Obviously, from a graphical user interface point of view, the logical access to an HDF5 should be provided by something similar to a file browser. The HDF5 file browser used in PyMca is based on a contribution by Darren Dale.

The data in an HDF5 file provide information about their size and type but they do not provide information about what they represent. Therefore, the approach followed by PyMca to properly visualize the data is cumbersome (at least when used for first time) but simple. The approach is based on creating a selection table with the datasets of interest. This can be achieved by double clicking the relevant datasets or via a right-button mouse click. The nice feature is that the table provides a context menu (right-button mouse click) allowing the user to save or load selection tables therefore reducing the need to repetitively browse the file. In addition, the selection table is saved among the PyMca settings (File Menu -> Save ->PyMca Configuration or File Menu -> Save Default Settings).

Once the datasets of user interest are in the table, he can select what datasets are to be used as axes (first table column containing checkboxes), as signals (second column containing checkboxes) and eventually as monitor (third column with checkboxes). The only selection that is mandatory to generate a plot is the one corresponding to the signal. In case of selection of several axes, the order in which the check boxes were selected determines the dataset to be used as first, second or third axis. For a simple 1D plot, one would select the dataset to be used as abscissas under "Axes" and the dataset to be used as ordinates as "Signal".

PyMca5-5.2.2/PyMca5/PyMcaData/HTML/aM4.png0000644000276300001750000000075013136054446017527 0ustar solebliss00000000000000PNG  IHDRc0PLTE/ݠ{tRNSDfv2"T?LXIDAT(K@_z]0`vDɟMPpq̢:tu(AQ 7$}}IsџԞ∶+u_ hVa@OOCS[7JyjDD(0ZJKw"&,v!)<B`Ų; OT]y//mz`qYQ*#֐YV'[>y9Mp'7"?ab-cƥȢZ$S/x"jfI 9Gz:"h\۹g6LKLl@aR a;FЫFJmsN`iE__Ek)ʑĜ U.!)+xsd&2sx lx1pYR9C] C&Xpury\&96f>dA~\.fpTBĊ\̀c5( Ƚ pBP|eWO` FO pd x S^(V~9T^8s<;qz󠭯T=rYo$Z>dWmf(] _LoɏuЊ;fdѝj<[u FkʺUjqx5ek/ǥ\AEEv Dj  m> H}bPPW7ZAs$^94MWIyz+Xi yw H:Qk:L±xEg ijj ~ oZ a|~M!ԁEUl T;_@~zUIENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/MCA-HOWTO.html0000644000276300001750000001323513136054446020566 0ustar solebliss00000000000000

MCA HOWTOs

HOWTO - Display MCA spectra in energy instead of channels 
HOWTO - Calibrate MCA spectra 
HOWTO - Define a ROI 
HOWTO - Fit MCA Spectra 
HOWTO - Simple fit 
HOWTO - Advanced fit 


Display MCA spectra in energy instead of channels 



At the calibration combo box below the Mca graphics window, select Internal. If the spectra in the graphics window have an energy calibration associated (either they were already calibrated or they have been calibrated by PyMca), each spectrum will be shown with its corresponding calibration. 

The default options of the calibration combo box are: 
None - Spectra are shown against channel number. 
Original - Each spectrum is shown with the energy calibration it came with. 
Internal - Each spectrum is shown with the energy calibration it came with unless it has been recalibrated in PyMca. 

Other options will be present in case the user has previously decided to perform an energy calibration. Selecting any of these non default options will plot all the spectra with the same selected energy calibration. 

Calibrate MCA spectra 


Select the spectrum to calibrate by clicking on its legend. 
Click on calibrate. 
If you want to enter a calibration by hand or to copy a calibration from other curve, click edit. The rest should be more or less self-explanatory. 
If you want to calculate a new calibration from the data themselves, click compute. You will be presented a new graph window with the selected spectrum. 
The program offers to you the possibility to search automatically for peaks (you should give an estimation of the FWHM of the peaks) or to enter a peak with the mouse by selecting the manual search icon. 
Found or entered peaks will be denoted by vertical markers on the graph. To enter the associated energy to that peak just click on the marker. Do that for all the peaks you would like to use. 
Once you have finished click OK to validate the calibration or Cancel to disregard it. Back to the main application, select the appropriate option in the calibration combo box. 

Define a ROI 


A table of Regions of Interest (ROIs) may be seen below the MCA graph. A default ROI named ICR is always present. 
The Raw counts contains the total counts between the markers. 
The Net counts contains the Raw counts minus the counts under an imaginary background line going from the spectrum point at the beginning of the ROI to the spectrum point at the ending of the ROI. To define a new ROI just click the "ADD ROI" button and move the blue markers (click and move) to the appropriate position(s). 

Fit MCA Spectra 


Select the spectrum to be fitted by clicking on its legend. 
Select the region to be fitted by zooming with the mouse. 
Click on the Fit Icon. Select "Simple" or "Advanced" depending on the type of fit to be performed. 

Simple Fit 


PyMca automatically searches for peaks in the spectrum, divides the spectrum in several regions depending on the separation among peaks and on the FWHM specified in the configuration and presents all the results in a table. 
Peaks for which the calculated area presents potential problems are underlined in red. 
WARNING:
If you are interested on the peak areas, the fit has to be made with the calibration set to None. If not, the calculated areas need to be divided by the value shown besides B: of the used energy calibration in order to get the actual areas. 
If you are interested on peak FWHM in energy, the fit has to be made with the calibration set to an option different from None. 

Advanced Fit 


This is PyMca main reason of being. The initial goal of PyMca was to supply an interactive tool to set up the configuration file of a program for batch fitting of multiple spectra. 

The expected procedure is: 
- select an active curve 
- calibrate it if not already calibrated 
- select internal calibration 
- zoom to the desired fitting region 
- click fit icon 
- select advanced 
- configure 
- fit 

The "Configure" button opens a dialog box with several tabs. 
The FIT tab allows to specify convergence criteria. 
The PEAKS tab allows the user to select the elements and lines (K, L1, L2, L3) to be considered. Elements with selected lines are shown in yellow. 
The PEAKS SHAPE allows fine tuning of the HYPERMET function describing the peaks. 
The ATTENUATORS tab allows to take into account absorbers that could modify the peak ratios of the elements as seen by the detector. 

It is convenient to SAVE the final configuration in a file for using it in other session or in batch mode. 

The "Tools" button shows a popup menu offering to print the table or to generate a detailed HTML report. The report can be visualized by any web browser. A detailed description of the fitting function(s) and most of the algorithms used can be found here PyMca5-5.2.2/PyMca5/PyMcaData/HTML/mSpin_K.png0000644000276300001750000000203313136054446020442 0ustar solebliss00000000000000PNG  IHDR&޹0PLTE/ݠ{tRNSfvD2"TݻIDATX VKkQ&L҉>jLbKEB[߈8E]I+bvƎu""nGD$q! 룺pa?Т.x&̝I|;|'ss,Ԣ -,Eqf6'WqF᧝#NlSUԝ?  kC#3WNJ϶ͧ(x*+1Ѭi4<lQVM: YĻ+3KM)lr=Z$?܄VQ'Y0tЮЇWqZfuKGꂏw߃jyaR4)Kӛ%*:{s(b JtHG 1ExmTqQV (HAHf SD;MBR|7kl߿]zXe8 ͩh LXtɈ7rr E!f,φҖ*MU|״ս3t?W0'#hyϥы{|7n#g9h\#R!)ٕ0 GV t.7\<߉كeuL?KӞfl-?MA7I9U/ݝSoC\f2?hW~8hcIENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/0000755000276300001750000000000013205526235020466 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image002.gif0000644000276300001750000000016313136054446022464 0ustar solebliss00000000000000GIF89a w1!Software: Microsoft Office!,D;PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image014.gif0000644000276300001750000000114013136054446022463 0ustar solebliss00000000000000GIF89aAw1!Software: Microsoft Office!,y;Fҋvvdujf{6s0]@<"L5%戛Ҕj]BlkևM"hMFcz&l7wF(GUgXB蕆ظHh)y5"ǃٙSjzg3YId$W4" |;єL2ˋuD z;M~~[YΌB/?O_o/n/ _UG #A9QmE2gbr#0߅1j-i4OJѸ f%:!ޤbrCBAZ0A<bFSGbgEC^=Z꼖􎬤ҨuuFT4.Su),RgnͶ$\:.aOxg;/g3-@kE #Y~  iۆ|[yÎ[n;PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image008.gif0000644000276300001750000000163513136054446022477 0ustar solebliss00000000000000GIF89aCw1!Software: Microsoft Office!,>3XK<]܅Hn_P" rζiK} :VqL6JlJL4׮KV<m,N tR^nމqZXDzs2HdHD(Y6rt%qR9Z2')%JzkzW 5 3{JꜪ:ڗccl\T==GHLͻl~Q>>9? )/ >diݲjIP*g )M+>%Ǽv!1y2%ʍSdO^8CUiψAWM$ZTV,Vg0g=P, :Y%MF@ >Ҡk+gZ+)בŋP$|Y h2^ʤrk2*Xp-f;'2ؙo`;VN}tڊmċۚ ̛;|5bGv2ݺVH;v!쉚(ZΧvhʪ5+Zk';PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image009.wmz0000644000276300001750000000141313136054446022542 0ustar solebliss00000000000000 UMLQv-HhbI& K %&^jժ%^c^L8rIOL^1 +̾mK6ٯfwG 2Tx` C4*xs,x>75Xj^spP 'g 59e0\,?0_XGG8D:>_Ij턪 Z-bp,$'L%c{=oSmfY=tDy&rw񏰻/|CpLEtzr6yw\z\E.!o/r[ҍVWb?ReUlU9;44qص-5-_.АƵ+zK*0|ooÙgjT;V~fi[g@2+d[S S?2 #>Sqml7N LJcip+tKVn%2O`ģ_A ؛l]6\Qmx }N 8dd{\=_m25=FVޏ@kA?`hŠvPsTjLTÝTnF7gH  & q%IG_tGaFPA[J"{eU-"F4s,J|20Sxds=v3x4A35SQ_5VT,Ɍk3PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/oledata.mso0000644000276300001750000002400013136054446022616 0ustar solebliss00000000000000ࡱ>  Root Entry@Ø_1160990284._1160990285 _1160990287  !"#$%&'()+,-./012346789:;<=>?ABCDEFGHIJKLNOPQRSTUVWXY[\]^_`abcdfghijklmno xp^RЀ3ÿ lHbP  LPÄ!1 4axĐ% y@( XyT0cH!-v><Ff ہV30d'2b`bDD`;PtGC y'b/zC? rB x#"ZX Re7hywm?ؠy޽@ƇҌI{y_Hf&秕(d)*&&&g+0+&E|GϘBdAH͠rP C(@#:`ɦ`ː̐q&jǬ;qX!(dFFf.. 3<3bAK @ߓ!h;C8C(~S! @q npdʇ2\*`~>7~J ψ1 N@2X"6Ae}1BR`x0dC#?(RYz-R&F!T |xVo@ِQ5HHPBt`Au"6j#1 `( ɄT*-[ll`d}F T/9˻|ݙu`sD&" r8ov8VM9yka,4A *ס.?<Qt;{18v~rw_`%0DD!N?/CױTiOQxˌǽW;)G|Z_{*t27=h4 ="$Pٵ\*ע,,6{kPvwR2ٓť 2owgK(lQ&F̂ "p'V#:IaJU6Xх&5A t̴էy_ړHUY ¡"G_aUvaqQ00mzT=y0ũ1Y " 9f]'zaۗҎW4#9G~oHOiat'xVKo@I = D ZE8&㐇HH 9`(rVq3p G$8k0DT%;]?$>|} p DOxs8?7l?yt؀N T+7P/OJ[7#)Y(9M? 0?a~@ QCGTɧii]ӿ;dW>ի=7\w[׍sQD]f^Ob6Zw ϞSzhYvb~ r6.\zdl{>,Alwe1x/f`UEiH7͜qlBB.XfjޮUHkJ.*i %$tAȩ9rN\Y.jHS4pt],"W4tug3J.;] t1UkJa@OV#y<(C~]'$H[")=](ס FSŸg8w/TUVaÜ7Uc{N a7L<.O]3آ&30֗iF*u]k>7Ƚ*'yxKlֻظFdxxVKo@{mHHyzD E8M!iFPМq_1160990288_1160990289*_11609902905_1160990291@._Њ$$84T%~;O/oޝ  9|t:3P6̟POT!2Խw횗8g^ E֔uȂ9P~( ;c1-xrxVKkQMHVP EZpQqNZy\:%f%PN\ rZZݹՅ e&;;`'"J5_rgs=g/O~BB@;# QwNu!w/4ğCꐠD*৘@g@x[m[nzxgͻ=%|zywq"?FYd{-8~ߦH~?+7QA#`gl@{ D8 !d^ݟGR5˚4?{QR* %%rvi5 ʫbj{$44wLzEe̒Op,y`^ EߌzG!E&R(%Ąfq(*n4VeJdNRԫ*94'ghd9/g&}""Tf{1OT4gbW&-5-?\!B/H,pN/8x ]ؔ %P,Zusڔ'J&$C')SJ?.<5_{}n~yga!2HQR*4xμr ߃hq [ND :iW|6Wyo۶TTcϦ_XJciml~r~ڰu!*[1Jsf&uD&t$ZsKvF; vxr->D3,Ji$?s!:FWl.x"`7I2.|K3 qK6yԭYy6N3;S'11%ENk0SRrY $brp&6ɓJF$k$tRFVorv_uO}ͨﴻI5Ba0ԶP>sR͹n yCn{-FxVDn pAA38-H4IS؏4)i@."^i2h[[R) _þGZ1B3A[._Bq#كg[_ ØZ!>k L?hu-?`|liѡ=8Q4I,2D]?ab(ZpȀg(O+mhe5uq9; 0P4tZoe؆3RxVMLQm*XMH@]Ԗ MiJ)P?Jr1xă^Lԃ1{^kmR hwh4cچ/I2)M\i+)ԓqY?މuA_<7Zzs_1160990292 M2_1160990293 Z_1160990294e%+Hl,=eg1HS^۱(]-ȶS6?;G$5TŪ7\X&vD5|6\J#%QnY!2s* $S!Jk?9靋25ObQ-4J?vLjMgS?ނWlf6p~P']&.%TE@&3rj.bl(hz.p? ccA"8MV7 N<dF"0TL"L0%Y . ?*Hqt<|g66`l#UQL#HFQ[|䌚smE؉LLq zWb%Iܘp1 M #C͹eueS&}M,*a+icf5 JJnv']Pŷl$Sgþh N{أUaDQjp-jq> |JbV7[wpuKzČ\aLr@~(|S`oR[E͎ 1IM'q oo/w똡xV;l@H< QԚJ Tp26lJrjkԩiYQՖnT!YUNgss`V̘͜O^')lAl|NY<8 ]+zU*Ԧ~=mЊM IWnKFEB]TV2Fk $+VC99#23RL/)Rq{bGy-(8JӴ攲=aI.=")%&J(;!XX v6a( 4FPKҎmEdںH mHNI2yY Vĭ tX?ARϙܩ :#EKsܓ{}.džvqĝY%l=&~ %|Vm?E?H;w[]6[|לKP=O7sx; $_2cO_do0Z`~/_ǝ+O{uz͹tpD]>}+Bwk{qJk\ӓeY+iGCyG9ZN΁uiO1c5;_>?/x>'lYO8t()œV3V5=krFQdąfq,*i6^%%tNVo׫)RV,WCH*` 5G*MңZa[2k;H(T^D#f H@$!Dv͔1aрlP`PhiO aM_]YƷ9okcA6493X ML%m,.uVD 8ˉD?X11xd9U4hZuhtʼn:}Qu1 ZG>z]|&zpPyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image015.wmz0000644000276300001750000000171213136054446022541 0ustar solebliss00000000000000 V]HQ>gԝ]խs5RL"tks4*-v][Mz(?@"""zz^z)3-5ޙ;>6=s=νgO]j( \ڱq,(10B t:KѲΉ<ä5y 4 !p3&%w)rAKH@FL05Ȉ0Ӡs !-Ez卯ɷ~KF] d6ɆwGbDk 0%"(i$\⼳1^,Q-d`ǜoayXwYUJ#qLUt2)bpM6/' Q6q4B0Ta~*K5x /T,yHEGjG8Hu_Y,k6$[sM\y(yͺ>[t$7?s%(;9Zj /֛:L55p;LVY5bg~d;&uu'm3{MGulDL?pƼckv,!pS[KFivw-CN5rX"^E$ERcX[Kp#іvox"PPVnʶut(~HR-a&F> RUDiH O 7)+.Vav z˼X/>[7n]bV>?yW̻s߃e:#cͫ1Jte-o:CO=#IͲƃQjjHḋ}[̯&me4p$.qu>py@_gC21gI"/.2 PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/filelist.xml0000644000276300001750000000144213136054446023027 0ustar solebliss00000000000000 PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image005.wmz0000644000276300001750000000114713136054446022542 0ustar solebliss00000000000000 SkAf6$lZATP-=Mִ!I4%h KрśЃ"xI$4lv>}|yյ:g Uiqxӑ&輼gu^F]w10F| ܦ5su|*O3uXQE<.(ay6F7WOK>-A@VxP<ǷV(xE7ZvLֺ\EM~^/ T~w9'pr #cr(aVCb!v&nKwjcR{8{Kex J=eT[W3PhgϪ >re%TG0rZ\z)>2'f:Mq8ijd% τJ) .L謞XVO_!|ѯ6kvs!K(WӰGR3o7l4k>F`.j jȊ=E C|*] KmkR)aIڵ#b<^&!B#&,u!HO8[;P `H~H]M]1K l\p#?L;PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image019.wmz0000644000276300001750000000156313136054446022551 0ustar solebliss00000000000000 VMLA~3Ҳ-Jh/"?EDo$]6Z=m*n mbOx"ƃ11/\<ē荘hPH/Fξy}fo^.,"k"> 1b<~+疟Dv Yr(سCzbrK`lj$zdgu.mޤT N´;K2wOW< pћt> 9eJ]ŸĮvg''; ,0H^%Ӓu!BX*`t2cG ͭax(6F,x*jbDd!Grl~5 M0r<*m 'H$Zr;["1P}b?1K)(21hͦ`_<q={5?Ʃ>Yq)ʗu# 8֜y'7̕nv)vzl|#P(JCߧ&TQ$!xhģo4BL9ϸԀCk#O[|Φ PjB\|hÕIfV$r-iEѐltnc:=[|5_ςY 3,VŧUfɺ>)mZ5 4hIBcc=Bz7-MH'ﭳYtjOhz8?ԶvpW(jx=PtFO h7J= ^T31"4R D8 ,A~ DX2+՚ mN* BHc[4N*3{& =v]'׶.d7212QǼP# k TB+<x~˟Uz hPyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image007.wmz0000644000276300001750000000205513136054446022543 0ustar solebliss00000000000000 V_h[e??MlnnC7]uΥÂ`ŦڬL'"Yי6YSi#eèك>QaRnϹĦc^r99s/-}eSЩ#EE11^TlweA >ц% B!:J;+#גżpPzwq s4jI9HߺPPS9pt0p\GXTOHoOIԯGqq00.SWx[:%yy1,ܘ qJq2c;cm[\^_?Ƭ'^eA1 ?>3ކ̗ GKףm1~nc&YGϑVۛMw8ydj80LybիRvG9~ғ `$Dzs)gHK8VIp̭7s(T]l~9,0~!48+i UY58˟ö$~uuG<pZ43k+؇M9j6L$NkD7?Y eX+ѭʪF;VeӘu+zZ} rh6drnxnq9TkyfrN<)j{cOB7p+.zEGoTEҐljAΘqa TWMP(. mnhb%zz}e] sGWKm-y[+ z7v61]uU?# PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image001.wmz0000644000276300001750000000020613136054446022531 0ustar solebliss00000000000000 ~,0P`T`bb @dbN&bd?(ㆫaR`R` A?d-@1aP5< %!  \PQ.NFK$?GPyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image016.gif0000644000276300001750000000200613136054446022467 0ustar solebliss00000000000000GIF89a85w1!Software: Microsoft Office!,21rhHrb, |O(Cǟ%(UʸZq,I4Au_2}<^dSWija6d'8wB95T񉣸$uzzgJ v`+X{5 "\k ̺zl"(,y,]=|J%Ē-]E~[=yNN>j M4]=BDpu2!a6nx5l c8[yzV d̑4-DCqIN4$wn%lPi"9ZsVBjPkI$ő@zr: -;^JaQ?fj0%).3#M]xEϖkik_pPZ۰qE|e@7v<ƙu|㺷1KW~ ;lbA+ZJ16hԺ&9NεA?|\ڙow|T潫^*#V8>BF黻EG{qGW1^yf)7v]d je Wu]LeWyA嵢%sȎ!O.3&"D6^Z: }H#o5I*/Xv2*`Sv"NZiYZf6ecWӜttٙ&ilцxi+9dQh c(NT D& CvJ֙iujQz,]:%g;zIAbvZJkeڊJ%*)ڳ*[~:lt< [ mhÃb+v&c-['nZɼUo'p譯q5L}Wlq;PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image011.wmz0000644000276300001750000000137413136054446022541 0ustar solebliss00000000000000 UMLA~3YkI4) %Uޚ.mpsSqmZP I1'^`Mgx &ANzzo-+Հvyy3`>=y' pw8 K_J-&:F}{c|Q{Ȍ!",">(l+/DSzV(^?~L?&DߩgsՌ: `x∞>I<B=epvI(Z3i0tVw'iAxS7-*qZe^1\0N3D-űHcfswer(@b:IVԐ&j6 V٥Rڸvwe[3M&6SWdVM}_]4]GZklywNwOB[nv9[Dwt༶u3}]#)7::K<<$?0MHTo"eΨCsj8;/saRS' h<(_Li]Ґ!ih0Fl1 ">yTכ͞#/]D u*lA(> :90 ,9sA8Ȣdpf4V~7:_!9pL+$-9a@fHt6Trt[k7x+ƒ}hh]ۇQq .X05:45GW)ܵƙ#?bPyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image017.wmz0000644000276300001750000000122213136054446022537 0ustar solebliss00000000000000 TkA~3Im P5&\IDm"E@ⱈ xċA[׋nBP!͛f}{s$pr%@]cֆb"Bá mZ~.ZzN?v7`ȝ! E< W^.Hۥ\rA>EG~ݢmKݲ]wrbv]ɕj+V;;jw~u`wf627d/t = &'ǟG4lԠCNlHrU#Ә6d,y/SZ{eT TcTWvuL~061k3]cZ$6: k(Jh<ėv\S*b|?Vfj {W-V_k&"`f~1я/*㾝W2sw+'+z9Ƀ9ò'IB>O] FK0zFeL +Qi# Qƫz=.b12`G)i'kb|A _(,LXj֍aG(m*?YyxnPqέo>s=(f^PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image010.gif0000644000276300001750000000140413136054446022462 0ustar solebliss00000000000000GIF89a 1w1!Software: Microsoft Office!,-c Aڋ޼0扦ze Qd/)rLWѓz VIʮN2:5د KAgVm_qt7Ux6ח!GEH7&fhy8hE)V9JJwy9ixY zȚ )׉S s꠹e씦ZͶ썖c%~.t jR~8FyoU?"7}2Y Y]z8;&ÐGkLc16f<zބtYc +s~@$]A‘4i1ؼ3 JT MQ*ѧ<~U,6ld13B,P8=|/'c,G`v8~`z9R9`\CdBiǟUIx&Ɯm=;#q{ wcѨM:f#?YM>L"K;PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image020.gif0000644000276300001750000000142713136054446022470 0ustar solebliss00000000000000GIF89a1w1!Software: Microsoft Office!,+ً޼"X刦ʶH2L| cL*I ")=Fܮw4dFNw`S Ǹϼ~N'hxVB8hHisQi74xrg8 Iᤊ9 TkY¨ۺ9zl ,* P|8l-! n:d~*َ~J9NM.,_.~ L>xz&WZP!^ JHwXSD9idBKnwFm/5*-=Xl&8֔NJϕwT"~bgwU¸ONT(=W-AҮ˺׃Ukn\#! EbՋ`]I" r l x1ULVxb86v3cI˜2bBKTz]λ;Vf-0=ihx@) HdR얊NONT^X&Y;PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA_files/image004.gif0000644000276300001750000000122013136054446022461 0ustar solebliss00000000000000GIF89a;w1!Software: Microsoft Office!,7ڋѤH>a\ʂⲶvdI} `@gs Yi ReuHEu{Ee9#ezGkCA:} />H7gC&GY%5WHXq2y(f::$:J8 R + kr{wI 49:D)Y2\l׭mRj]}>RM|ex/9̳x٢O ]tKDy m1i*uTgȑ$7RTkDOv( 6KT2:T5TبLke,tR@LdT{29 () LȪ ʢTj~Oصq^zVnxZ W#◧FxtVH(X6vyA!) y:y3jWxHȐ[+JRQ qH$ :L| ͬ|gZt +=InWݛZK͞NL;~nln_9u}J`4YSaZX6[I⥈r8 "󏢊Ah<2^Ln(vyՄd /t!b;{-& OT"5U9\z0Pc2jVϴicDSm49ؙٗجϾ ^b ?Y5 sl9FȑNv*br-@W!MV/=?V6'ūxs8J{([S"[yWӳ_`l*QL[}vLq8#_eS(tW<ŪxJw/Ћfd5'c)-Udٟl\YfRϋY$?YnJYdy;qX>3IGfg=t+DLcS%Wڹ[;Yhuu'uGn#q^$&Cf4wի=CUZkx:ax{455F l.AWxRcjתWWw=</*2/c9Ӝ\r5Ǧzw!ꂎmCPV _2̅`S1"g$0A?/*ޔkѪQ G$(+:X4`$ FJ s i :.;(3.4_nV\N [Q2VZT st L l晘6.4yC[iRa֝{(]z{+K6Ɛ85*NJ?-[ c|*at:S}3ѱd

Alignment plug-in Documentation

Contents


1. Usage and Description
2. Methods used by the plug-in

Synopsis

Due to uncertainties in the experimental set-up, recorded data might be shifted unrelated to physical effects probed in the experiment. The present plug-in calculates this shift and corrects the data using a variety of different methods.

1. Usage and Description

Data that is subject to a shift must be loaded into the plot window of the main application. The plug-in offers two ways to treat the data: a shortcut options called 'Perform FFT Shift' calculates the shift and directly corrects the data and the 'Show Alignment Window' option showing a window that allows for specification of the shift and alignment methods as well as offering the possibility to safe calculated shifts respectively load previously calculated shifts from a file. It is also possible to enter shift values by hand.

Once the Alignment Window is opened, the alignment method and the shift method must be specified. The alignment method specifies how the shift is calculated while the shift method determines how the shift is applied to the data.

The table shows three columns: The first one shows the plot legend of the data that will be corrected by the shift method. The second column shows the plot legend from which the shift is calculated. The third column shows the shift values calculated by the alignment method in units of the plot windows x-axis. While columns one and two can not be edited, shift values can be entered by hand. Another way of setting the shift values is to load them from a existing *.shift file using the Load button.

Once the shift values are set, they can either be directly applied to the data present in the plot window using the Apply button or the data can be stored in memory. The latter options allow to use a reference signal recorded during the experiment to determine the shift and then apply the shift values to a different set of data.

Notice: In order to match different sets of data to another, as necessary in the case of a reference signal, the order in which the data is added to the plot window is crucial. If one switches between two sets of data where one set aligns the other one it is highly encouraged to consult the table in the Alignment window to check if every element in the two different sets of data is assigned to its correct counterpart before applying the shift.

If the data in the plot window is zoomed in to a distinct feature, only of the data is used to calculate the shift.

up

1. Usage and Description

Alignment methods are used to calculate the shift. Present methods include FFT, MAX, FIT and FIT DRV.
FFT
Uses the Fourier Transform of the curves to calculated their cross-correlation. The maximum of the correlation is determined and yields the shift value. This method is the default option, since it is not affected by the peak shape, fast and numerically robust. Notice: the shifts are given in real space values.
MAX
Determines the maximum of each curve, the shift is given by its the differences in the x-position of the maxima. Notice that this method is highly vulnerable to noise in the data and spikes.
FIT
Method subtracts a background from the data using the SNIP algorithm (c.f. plug-in section, Background subtraction tools) and searches for peaks in the data. For every curve, the single most pronounced feature is selected. The peak is fitted by a Gaussian model, the shifts are then given by differences in the x-offsets of the fitted Gaussians.
FIT
Uses the same procedure as the FIT method, however the fit is applied to the first derivative of the data. This method only recommended for X-ray absorption data.
Shift methods are used to apply the calculated shift to the data. Present methods include 'Shift x-range' and 'Inverse FFT shift'.
Shift x-range
This method takes the x-range of the respective curve and adds the calculated shift value to every point.
Inverse FFT shift
Takes the Fourier Transform of a curve and multiplies the shift as a phase factor. The multiplication of a phase factor in Fourier space translates to a shift in the x-range in real space. The shifted data is given by the inverse Fourier transform. Notice: In the process, the data needs to have a equidistant x-range. If this is not the case, the data will be interpolated on a equidistant x-range. Due to the cyclic nature of the Fourier transform, this method is recommended for data that has linear background.

up PyMca5-5.2.2/PyMca5/PyMcaData/HTML/Menu.html0000644000276300001750000000305213136054446020170 0ustar solebliss00000000000000

Main Menu

File
Mca Tools
Window
Help

File

Open - Offers the user to select the source of input data: Specfile, EDF file or SPEC shared memory.
Save - Not yet implemented.
Save as - Not yet implemented.
Print - Prints the graphics window.
Quit - Closes the application.

Mca Tools

Hide Source - Hides the source selection widget allowing the use of a larger graphics display.
Show Source - Shows a previously hidden source selection widget.
Elements Info - Shows a periodic table to get X-ray properties of the elements.
Identify Peaks - Shows table of Elements with emission lines close to a given energy.
Batch fitting - Calls the batch fitting tool.
PyMCA Post-batch - Calls a visual correlator. Only available under PyQt4.
ROI Imaging - Opens a stack of to perform ROI imaging. It needs PyQwt5.

Window

Allows customization of the way the MCA and SCAN windows are presented. By default the SCAN window is hidden.
 

Help

Main Menu - You already know, don't you?
Data Display HOWTO - Data display related information.
MCA HOWTO - Common MCA operations information.
About - Shows the PyMca version.
About Qt - Shows the Qt version used. PyMca5-5.2.2/PyMca5/PyMcaData/HTML/mOverM.png0000644000276300001750000000161113136054446020310 0ustar solebliss00000000000000PNG  IHDR+F>M0PLTE/ݠ{tRNSfvD2"TݻIDATH VkPdik07I6ݐ:' 2'KzՓ-P؆@AED!^̃Ƀ0m66y/MuC~>KxY_ /W_d}^⹗{[Ղ?C֠;T.CsJ3؉#ԺSs5C8,V!q$\`ToaT6$.4&4ELh#U2CgOT}ՙj m\h-@?⬁g̡Q0L}J-onus@fX)+k " ir3.Q ( Hޏ"6}ӧZ~cbOT/NT6U^1XU/W-yզl-Pf$ s~*vL,:n4<cN9Ou'0v~J9hY#d@l=e LOV`..rP_r9Q2zڥw l Z ` @2}حMP1h *E ^ML &>hiZG6P3:PP*T6rqm@[slYbCJØgjg.mN׬Uʾ[[LȻJȥjO <0I 2)s) s&1 S<F0Jnչ) nE ,[0ZNaYrzcq qƣ7hy|!ƻjEyybygJϰ5}d_ő^M4U-4(0/N0(6bIoT?{Ǻep3CÌ&KB30daP Efo&B!6@lw;RwIENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/lz.png0000644000276300001750000000225013136054446017530 0ustar solebliss00000000000000PNG  IHDR+)0PLTE/ݠ{tRNSvT2f"DeIDATX V]TL&tRBK_T4KE O-4;e˾ ˪]-T|R*PaYZ 97;w23p9͗zzb%$+2:'j6dB;̭[=IS͚(A=Y7 V]FRX!@YL'50s,Mi`YO>mHW],_I6l9Mem_b7`b=0/> 6`aq}׽XC(Tbr ?r-6p>z2 `kq"Ե.,҂Fd9ˣ `7)_T}TL"!puД3:k'F=l:` Zܧ30BgsF%rFUw0`]KV ;]O8׆F浄' C05!.`߂d/ɒs ]+SE,>~cx(IY%O dkLbU8 h3^qWl`;l%TnÞ;W.vJUZCUBj,ŪC~ <@@ 3{B ç P9:9A H /{x*ޛtĘ@BWPPQN0S+׾Q$'7O1jsC|_H咴{Qܡ@&Yq` UKu2j0 Continuum/background Models

PyMCA X-Ray Spectrum Analysis in Python

V. A. Sol and E. Papillon.

European Syncrothon Radiation Facility (ESRF), 38043 Grenoble Cedex.

 

1. Introduction

 

Up to date most, if not all, spectrum fitting for X-ray fluorescence measurements at the ESRF (ID13, ID18F, ID21, ID22) has been performed using externally supplied software (generally based on the AXIL software developed at the University of Antwerp, Belgium). Whilst this software is fairly robust and reliable, we have very little influence over its development and consequently its direct integration into our control system and subsequent data analysis routines is not straightforward. A further limitation is that we can not distribute that software to our user community.

 

A versatile non-linear least-squares fitting application had been already developed as part of the tools of the BLISS group at the ESRF and had been used among others by the NewPlot visualization package. That fitting application, based on the Levenberg-Marquardt algorithm, is implemented entirely in Python, thus ensuring a high level of platform compatibility and straightforward integration with the ESRF control system. The logical step to follow was to write a dedicated function to describe the x-ray fluorescence spectra and feed that function to the fitting module.

 

The need to have an easy way to setup the configuration parameters of the fit, led to the development of a complete visualization and data analysis tool, PyMCA, that relies on Qt and Qwt to build its graphical interface and plotting routines. Nevertheless, the fitting code can run in prompt/batch mode fully independent of any graphical package, and its output file, can be used by other python module (also GUI independent) to automatically generate a fully detailed HTML report that can be visualized by any browser.

 

2. Algorithms

2.1 Continuum/background Models

 

The continuum is modeled in two possible ways: estimation or fitting. In the former the estimated background is subtracted from the experimental data prior to the least-squares fitting of the fluorescence peaks. In the fitting mode the continuum is described by an analytical function which enters into the least-squares fitting algorithm.

 

For the time being PyMCA implements one of each of the models. Background can be estimated thru an iterative smoothing procedure in which the content of each channel is compared against the average of the content of its neighbours at a distance of i channels. If the content is above the average, it is replaced by the average. In order to speed up the procedure, i can be taken as a fraction of the peaks full-width-half-maximum (FWHM) at the beginning of the iterative process, being one at the end of it. The only analytical function currently supported to describe the background is a linear polynomial that can also be used in conjunction with the stripping procedure.

 

2.2 Peak Shape Model

 

The following is drawn primarily from a description of Least-Squares fitting of XRF spectra in [1]

 

The response function of most solid-state detectors is predominantly Gaussian. In certain instances it may be necessary to resort to more complicated models such as Voigt or Hypermet [2] functions.

 

A Gaussian peak is characterized by three parameters: the position, width, and height or area. It is desirable to describe the peak in terms of its area rather than its height because the area is directly related to the number of x-ray photons detected, while the height depends on the spectrometer resolution. The first approximation to the profile of a single peak is then given by:

(1)

 

where A is the peak area (counts ), s the width of the Gaussian expressed in channels and x0 the location of the peak maximum. The FWHM is related to s by FWHM = 2.355 s.

 

In Equation (1) the peak area is a linear parameter; the width and position are non-linear parameters. This implies that a nonlinear least-squares procedure is required to find optimum values for the latter two parameters. Linear least-squares fitting method can be used assuming the position and width of the peak are know with high accuracy from calibration.

 

To describe part of a measured spectrum, the fitting function must contain a number of such functions, one for each peak. For 10 elements and 2 peaks (Ka and Kb) per element we would need to optimize 60 parameters. It is highly unlikely that such a nonlinear least-squares fit will terminate successfully at the global minimum. To overcome this problem the fitting function can be written in a different way as shown in the next paragraph.

 

2.3 FWHM and Position of peaks

 

The first step is to abandon the idea of optimizing peak and position of all peaks independently. The energies of the X-ray fluorescence lines are typically known with an accuracy of l eV or better. The pattern of peaks observed in the spectrum is directly related to the elements present in the sample.

 

Based on these elements we can predict all of the X-ray lines that constitute the spectrum and their energies. The peak fitting function is therefore written in terms of energy rather than channel number.

 

Defining ZERO as the energy of channel 0 and expressing the spectrum GAIN in eV/channel, the energy of channel i is given by:

 

(2)

 

and the normalized Gaussian peak can be written as:

 

(3)

 

with Ej the energy (in eV) of the x-ray line and s the peak width given by:

 

 

(4)

 

 

In this equation NOISE is the electronic contribution to the peak width (typical 80-100 eV FWHM) with the factor 2.3548 to convert to s units, FANO is the Fano factor (~0.114) and 3.85 the energy required to produce an electron-hole pair in silicon.

 

The least squares fit optimizes ZERO, GAIN, NOISE and FANO for the entire spectrum (fitting region), thus for all peaks simultaneously. One can, after the fit, calculate the position of the peak (using eq. 2) and the width of the peak using eq. 4. (s in sigma of the peak in eV!!!), convert to channels via the factor GAIN and to FWHM via the factor 2.3548.

 

2.4 Element Line Groups

 

A further simplification that can be applied to reduce the number of fitting parameters is to model entire elements rather than single peaks. Some lines can be considered as being grouped together such as the Ka1, Ka2 doublets or even all K lines of an element. A single area parameter A representing the total number of counts in the line group can then be fitted.

 

The spectrum of an element can then be represented by:

 

(5)

 

where G are the Gaussians for the various lines with energy Ej and Rj the relative intensities of the lines. The summation runs over all lines in the group (Np ) with SRj=1. The transition probabilities of all lines originating from a vacancy in the same (sub-)shell (K, LI , LII ...) are constants, independent of the excitation. However, the relative intensities depend on the absorption in the sample and in the detector windows. To take this into account, the x-ray attenuation must be included in Equation (5). The relative intensity ratios are obtained by multiplying the transition probabilities with an absorption correction term:

 

(6)

 

The absorption correction term Ta (E), used in the equation (6) includes the x-ray attenuation in all layers and windows between the sample surface and the active area of the detector.

 

2.5 Sum and Escape Peaks

 

The escape fraction f is defined as the number of counts in the escape peak Ne divided by the number of detected counts (escape + parent). Assuming normal incidence to the detector and escape only from the front surface, the following formula can be derived for the escape fraction (Reed S.J.B., Ware N.G., .J. Phys. E 5 (1972) 582)

 

(7)

 

where mI and mK are the mass attenuation coefficients of silicon for the impinging and the Si K x-ray fluorescence radiation respectively.; wK is the K-shell fluorescence yield and r the K-shell jump ratio of silicon. The calculated escape fraction is in very good agreement with the experimentally determined values for impinging photons up to 15keV. The area, relative to the area of the parent peak can be calculated from the escape fraction:

 

(8)

 

Si escape peaks can be modeled by a Gaussian at energy 1.742 keV below the parent peak. Including the escape peaks, the description of the fluorescence of element becomes

 

(9)

 

where G represents the Gaussian fitting function and Nesc the energy of the escaped photon.

 

So they are not fitted as truly independent peak, but they are part of the multiplet. For spectra obtained with a Ge detector one needs to account in a similar way for both the Ge-Ka and the Ge-Kb escape peaks for elements above arsenic.

 

Summing correction is performed by using a very intuitive approach. Since any of the peaks can be detected simultaneously with any of the other peaks, one can calculate the summing contribution of channel i, simply shifting the whole calculated spectrum by i channels and multiplying it by the calculated content of the channel times a fitted parameter. This is then repeated for all the points of the spectrum. The physical meaning of that parameter, for a time acquisition of one second, could be interpreted as the minimum time, measured in seconds, needed by the acquisition system to distinguish two photons individually and not consider them as simultaneous.

 

3. Conclusion

 

Despite being at its early stages, PyMca and its fitting engine already implement most of the needs of x-ray fluorescence spectroscopy. It is fast (~1 second per complex spectrum with < 1 GHz processors), portable (it already runs on Solaris, Linux and Windows) and can be freely distributed. Current developments are focused on the implementation of alternative continuum algorithms.

 

References

 

[1] R.E. Van Grieken, A.A. Markowicz. Handbook of X-ray Spectrometry, Chapter 4: Spectrum Evaluation, Ed. Marcel Dekker, New York 1993.

 

[2] G.W. Phillips and K.W. Marlow, NIM 137 (1976) 525 536.

PyMca5-5.2.2/PyMca5/PyMcaData/HTML/PyMCA.pdf0000644000276300001750000013124413136054446020007 0ustar solebliss00000000000000%PDF-1.4 % 240 0 obj<> endobj xref 240 13 0000000016 00000 n 0000001007 00000 n 0000000556 00000 n 0000001244 00000 n 0000001478 00000 n 0000001948 00000 n 0000002669 00000 n 0000002915 00000 n 0000003155 00000 n 0000003232 00000 n 0000006343 00000 n 0000006783 00000 n 0000000827 00000 n trailer <<87ea97f3be504741b0f097a0118f3cff>]>> startxref 0 %%EOF 242 0 obj<>stream xb``` <001.;*0s4O H|IEk{/9*NLX‚E s|```q*T2RL @JaR @$ec*a%Sӷl3vxf1M: `@l Ģ L(0/ endstream endobj 252 0 obj<>/W[1 1 1]/Type/XRef/Index[29 211]>>stream xbbe`b``Ń3  endstream endobj 241 0 obj<>>>/LastModified(D:20041019154705)/MarkInfo<>>> endobj 243 0 obj<>/ProcSet[/PDF/Text]/ExtGState<>>>/StructParents 0>> endobj 244 0 obj<> endobj 245 0 obj<> endobj 246 0 obj<> endobj 247 0 obj<> endobj 248 0 obj<> endobj 249 0 obj<>stream HWnH|W#H w.:EnxZbKMrfo&)RvDKϥN짟^|x}y_y<`w/~yz1ֻz+_fqwq=y,R7 ,a;ceIC#JXQ'u+XbJyQF,ry4/tC]>g[}MQu:п~ us:v5<=n{^DumHQSmk]EŊ;y!TĶ( ubۇOK^_ZY՛R2ߑn'n{xCՁpb( 8T.T[Vu#nt5y sx{+P|{Dle9@Q~lafP=՝ZbVՊ\h]D'PeNKϿZ4ܾne#E׷RTg&y'~]l]6sb Ã%Rdz1]o膜>|\Fʊ5"u ;ˌ%1syP,+قu}Ӕȶ#͋:D㼠NWQ%UA7'9_߳S>e0d&K.gwl;bX쨣l pQj&`ͳ~%}S߇HX^DѢzC٦g*I, /QbV$C'QP`Q^#iL9!06)WR@툞zeNU'GTTg{)B|Q)-ZB2+u1~olPڍֽ^QSwPBh(DNY cCGjP1'M-BV7wAyq[l*/W@:8l:70];I~z+:K~ DP;3#7\/ Z Wu*10C/ժ(Jsޛ'fꂴikt>QR3}M{bko* RUe7yņmb?}rzQ_MV&'&O@EǛSS?ԷEY!4OA@B#tAJ&k O6QxR-B=6ݯxhyD>mD%DӦ)w".BPtF2*f>%2;f%hvf45%a6e^)*6ڜQhhVD3p'f0.ү&:o @hE>_Y%$uqihAa$Y<4vzO3aAUR"pjX#;xp%Z˜8Vq!؜d)ny>I}#Ξ̶$edJڞ|kgg&^lju.`ȹU._FZ8[s(ˈ~axJ?0"bPh(鱽 2˔F] ட^4HXlU_YK#yh(y8g5+\)JlDv44x>ѫ\r/+܇잷8ĺ }|x"4u )LFZЈ.nqÖ4f*i#lM IEg]@ޙ@FA9g 4[wA>QM횞Gvp &̜SN"6}k,'0oLp z+O/vG7dvrCE)Q>E5A*ԖlUB9THk]Wl#ȩn섺YWn*D55K)!uVf92ĵcf/OM\;8Vȶ7jz5mJz7xzWx>]h^nM]ٓl=6'?EďqU cI lY !^uuׅ\ShuȬti1r٫՚.M~vv͸mOP(Ll46w1\>3;/4ʼo%IQf1&g7Cg! xATdOE\^mpL& x=K/N* C;k87YoFj-S4 [K$"ueڈ ,Lˡ7O\x\ Tl9i$om`^(B%Fԡny' I &c?y)wgOMqJ"mUs*,d3@*H˄9mJʤU팃Q> endobj 251 0 obj<> endobj 1 0 obj<> endobj 2 0 obj<>/ProcSet[/PDF/Text]/ExtGState<>>> endobj 3 0 obj<>stream HWk6_r"E-bit7f$hYV+9z!eˎ"ApcQ"qpo?߯ZH-'Dea"w[qO:CXP#\DaEGPxRne= s! R;'R.XK[au{;Qbc4x)]u$]U?Uк/Šm]u#~/ͧb]{0 '֯,wOp~!CY U3A$Ihr[Qy'?\-Il4ԩ9pɤ8g0ܡmz:6Bܷ~IlX':q"Dvv(ۮp<4wx]EHR\5v"mBkAV:̴*U;E W j ]y(6hJ|B|M1Gyp(9)|}ە`b^&A]@d+;ʂ^ci:np~5=<1gm's'#VraWf9b(T@bc;[p eRSͣ]YJAӁ q+m_><j; J/Q#/ J &\hʾ./O4,'SOPE#<)*" Ai(o1ʵYv5N{@^ AkyJ}FnAsr!C&Sl2@6#y #V}};]T[g_3VNٖ✮GuR3)잩~pObG4:y:5\JW MY>_PRyK# HNQH>Db SIPi>;`B%s- 4( JQ0/@Q [&xx`4'l@yϽS Ou(!Ajx 9I~t=*LG$}?-Tp*I iڳx+ MݩLS|!Z/_O)nѕ"VH^IMF[S2ܕouTv^Om6ז$TA{}%S7,Qd7[bB9R|!C>tkvu*%H@ _f I/3>S$7oPhjsegE;6S:e".šO97aOD3Mr=;YPɣֽBow‰]Q7gЪmpUV}q=?OMwFtHlesR&>~}'?2)g\;{}-? NA4Q4S qp ^5c^JD6M /-`@?cufkU~kwsOOl󧑁DB> 1䁟VҀ减KL)xɍ& 0~5M]St~΀$oB[>1eC9YUdPgɈ ruURɰhԋxdusԥU8svDb}1y"/O'a`L0#T0q*؁FDoOp0sI9)bhcvۭ(tޘ-1Ҹ|Sr3_sRQs`%8J;0# -ͬy(jgQ>lG}up(F^wx;)SXes!-l]m:'7ݭ %\IS[ }U"vyawGGR:H[]q\&ASpatGlĈX`qKXf>t}yh<6K)1~,b7:%3 %3xOʺdjpa$ zbH śq]X47 _xƈ0g?빖Nls-2>A3>s!8 hz+ҕ)JD} =TwN@(jׁ xň493iyIĩ":PCBJ}AN}g?!(3{|O_hm03h?:9Ҿc~{Iga9)ˏ6{٢ td 4`r(6ؤdw|!'ب%'˽KCcDS8|,irMR殖weAAѫBz(6޽#hM] dn`| @0P9N#z Ln'Z|u鈣"i^g_1I(^pfto( 2h㧝ku!HQUJxn&*b6iYfHrhQruU#]cZFՙ^wgyQo밌b$xKa)0[LU<%qJW 'B@$>ݠ^|,&+ZmBS˕_}}Z\Fք}?\@ endstream endobj 4 0 obj<> endobj 5 0 obj<>/ProcSet[/PDF/Text]/ExtGState<>>> endobj 6 0 obj<>stream HWn}WLކpRq4N#@>P2m3Gʥ3Cl4'6{m[n/B373!Y)2g.-,[2vŊ2,Y|)60l,K,S})GM-{VvXMZ&Rūܰ]4ULT)x*55n۪*YժowK%g_^a\dGI>RhIi|}k}ZPBG|,nBL|?W [~o0:rQa;)dd&S5Y#2_TK)ʿgTjkQTŒH}ѽ˅O~<Ίޜp^.AgE5-ޛԹByT1`״OH+ 725E"ȧc)jDh#ЏP)m|&'.-RjT:ttեBũ-6`2\)+o4x"\z@3<~eԺ&״VBh_dͯd&xȂ~@Yjj<@)BH;'JA=d!@LmUc)\y3hI命˳I0iu[X< Xz`B5̈i') נ秙鎘}n_;4h=1Ōi&΂-kٟ{#ea1X-hߏRUK m 퓥N?hN %Wấ_7Gz'#i$=;1n'K Bʯס *85,8*.Hab0q0lN4epf($ؠ5^kH!&: l G$XF吷<__`o?t|ʾ4˷tN^)w+Ɨ"?AmyWW嚹 eb09L۽Mܔf3t5iEV0M;ݔ~j(JM5զ\=]I7araR@dTib;!pqvk~ƨY=|cܞs W(Ρ$L)YxȷzX'ueiyޮv1۬Q:/5dZ`~ںe]j8mY fdA! i^ uUv=>%8!]VI01fE?$t@;_ei Ԁb;B's/0 uДơ7IjK8Sp*B_Gm5`,qqs\Rw>KpS}ܢq[$tJP]H@7aCC!˦Q^hb9ce0WmX:1Li@o˾"ؠljg'c<7ܴ>:⻎¯>Ln'+y E% ZKG:E;>K{RAVW^rț [О&މXw}VweTN}ˁ 8eo exvoB6b1^oolQHAGǑf#ǸHYEq4V¥_AZ|]:wfؑPi;YDE|و g`Q5M0_cZ& a\n:P2ytxHO,K$HR [m˶Q`x;?7,>\WkOTm)k]!cm߅`qHzزQ7뀆.eo78Es͇¾lIW_W4Gy4C|E49~iX H@dS bRAAsd:

Sum Rules Tool Documentation

Contents


1. Usage
2. Theory
3. Keyboard Shortcuts

Synopsis

The present tool serves the purpose to evaluate XMCD data according to a 1995 paper of Chen et. al. (Phys. Rev. Lett. 75, 152 (1995) and a 2009 paper of Krishnamurthy et al. (Phys. Rev. B, 79(1), 014426), c.f. Theory). To apply it, the user has to contribute a x-ray magnetic circular dichroism (XMCD) spectrum as well as a x-ray absorption spectrum of a sample.

The tool offers a graphical user interface that allows data preprocessing, background subtraction and integration of the data in an interactive manner. Results can be exported in the usual *.spec file format.

1. Usage

Open a *.spec data file by selecting 'File -> Open Spec File'. A Dialog opens displaying the file system on the left hand side and two selection frames on the right. Once a *.spec file is selected, the top right frame shows the scans in the file. Notice that the scan also can be an analysis file with the analyzed data divided into scans. If you used the XLD/XMCD Plugin of PyMca, the typical analysis file includes one or more scans that correspond to each analysis stored in the file. Once a scan has been selected, the bottom frame on the left shows the counters. One must define the counters used as x-axis as well as the XAS counter resp. the XMCD counter.

Once the selection is done, the program has the information required to perform the analysis. Click "Open" to load the data. The empty plot window in the top part of the application typically shows the XMCD spectrum in blue and the XAS spectrum in red. The bottom part of the window contains three tabs titled 'ELEMENT', 'BACKGROUND' and 'INTEGRATION'.

The analysis starts by specifying the sample in the first tab 'ELEMENT' (Shortcut: F2). From the drop down menu in the bottom left select the electron shell and the element and set the electron occupation of the outer shell. From the drop down menus in the bottom right select the absorption edges probed in the experiment. The edge values can be defined more precisely later on and the values selected in the 'ELEMENTS' tab mainly tell the program how many edges to consider.

The next step in the analysis is the sustraction of a background from the XAS spectrum. Switch to the 'BACKGROUND' tab (Shortcut: F3). A click on the estimate button (shortcut: CRTL+E), located in the middle right part of the programm, tells it to guess initial values for certain markers relevant to the background subtraction. The markers divide the XAS spectrum in three regions: pre-edge, post-edge and the region containing the absorption edges.

The model itself consists of one or two Gaussian error functions whose turning points coincide with the absorption edges. Slide the markers to the absorption edges by clicking and dragging the markers labeled 'Edge 1' and as the case may be 'Edge 2'. Every change done in this way automatically updates the model. Pre- and Post-edge regions define the constant model offsets before and after the steps by calculating the arithmetic mean over the data points inside the respective regions. Set the markers 'Pre Edge Min', 'Pre Edge Max', 'Post Edge Min', 'Post Edge Max' accordingly. Two values are missing to entirely define the module: the step width and, in case of a two-step model, the ratio between the two steps. These values can be adjusted in the bottom right corner of the 'BACKGROUND' tab. If the cursor is inside the according the selection boxes, one can use the up and down arrow keys on the keyboard to adjust the values.

Notice that the model is not fitted but only adjusted by eye. The user is encouraged to alter the quantities defining the background module during an analysis to validate the reliability of the method.

For the final step of the analysis switch to the 'INTEGRATION' tab (shortcut: F4). The plot window shows three curves: the corrected XAS absorption spectrum and the cumulative integral of both the XMCD and the XAS spectra. In the top left corner of the tab one can find markers corresponding to the integrals used to calculate the orbital and the spin magnetic moment. The latter values are displayed on the top right corner of the tab. Click the estimate button to assign an initial value to the markers. Markers p and q acts on the integral of the XMCD spectrum, marker r acts on the integral of the XAS spectrum (c.f. Section Theory for the equations).

up

2. Theory

3d samples

We use equations (1) and (2) from Chen et. al. to obtain the equations used by the present application. The orbital angular momentum is calculated using

Orbital angular momentum

while the spin angular momentum is given by

Spin angular momentum

where the n define the maximal and average electron occupation of the 3d shell. The latter is given by

Maximal occupation of 3d electron shell

The ration of the above expressions simplifies to

Ration of orbital and spin angular momentum

Both equations for orbital and spin magnetic moment the parameter p, q and r which are obtained from the integrals certain features of the absorption and the difference spectra. Following the paper of Chen et. al., we treat the case of a 3d material. The parameter r is given by the integral over the whole range of the absorption spectrum:

Integral r

Here a factor 2 is introduced by the way the XAS absorption spectrum is calculated. Instead of summation over both polarizations, the application assumes the XAS absorption is calculated as the mean of the differently polarized spectra.
Integral p considers the L3 absorption edge feature of the difference (XMCD) spectrum

Integral p

while intergral q considers the L2 absorption edge feature in the same spectrum

Integral q

The μs are given by the absorption spectrum recorded at different polarizations. Thus in the last three equations, the expression in parentheses is either the XAS spectrum (r: +) or the XMCD spectrum (p,q: -).

4f samples

In case of 4f samples, the present application uses equations (2) and (3) from Krishnamurthy et. al.. The orbital angular momentum is calculated using

Orbital angular momentum

while the spin angular momentum is given by

Spin angular momentum

where the N_4f define the number of holes in the 4f shell. For 3d and 4f shells, the maximal occupation is

Maximal occupation of 4f electron shell

The equations used to calculate the magnetic moments thus reduce to

Maximal occupation of 3d and 4f electron shells

and

Maximal occupation of 3d and 4f electron shells

The ratio of both moments is calculated the ratio of the two latter equations. Both equations for orbital and spin magnetic moment are derived by assuming

Integral r

and

Integral p

where p is the integral of the XMCD spectrum up to the first absorption edge and q is the integral of the XMCD spectrum over the second absorption edge. The μ_0 is given by the integral of the mean of the XAS spectrum obtained from spectra recorded with different polarizations.

The application uses the method magneticMoment in the class Calculations of SumRulesTool.py.

up

3. Keyboard Shortcuts

Shortcut Purpose Describtion
F1 Shows help file Opens a browser that displays this document.
F2, F3, F4 Switch tabs Switches to tabs ELEMENT, BACKGROUND resp. INTEGRATION
<CTRL>+E Estimate Trigger estimation of marker position. Only available on Background and Integration tab
<CTRL> + O Open data file Opens a file dialog to select a *.spec or *.dat file as input data.
<CRTL> + L Opens analysis file Opens a file dialog to open a previously saved analysis file
<CRTL> + S Save current analysis Saves recent changes to a previously saved analysis file. If the analysis has not been saved yet, a file dialog opens to specify the save location in the file system.
<CRTL> +
<SHIFT> + S		 Save analysis as Saves current analysis in different analysis file.
<CRTL> + D Save data Saves data produced during the analysis. The save procedure produces one file containing two parts. In the first part all raw data on which the analysis was based is saved, i.e. the x-range, the XAS and XMCD spectrum, and the background model applied to the XAS spectrum before integration. Also, the corrected XAS and XMCD spectra are saved. The second part contains the integrated data.
<CRTL> +
<SHIFT> + D		 Save analysis as Same as the above, but allows the user to select a different file in which the data is written.

up PyMca5-5.2.2/PyMca5/PyMcaData/HTML/nMax.png0000644000276300001750000000062713136054446020014 0ustar solebliss00000000000000PNG  IHDROWB0PLTE/ݠ{tRNSTvfD"ݻ2IDAT(c` 009%PPB.W?`e``T2q  T!AiBP8+d@V?`7``_CHd?0H1뤄l`8 Q (j5*K&FZ (1 $"qog`q`x!y[0HL=d`J Y62Lf`Nc"79QpA:vPlXԸK1vZmmm !~X]'4B^~}||ܶW_}U7N&Z84zGmۊFN Q<^|__O//1r (!eYoiιjE?ɟtz}}9Gfӻ-%4B 㯟=L&B ~ӟ7Bvֿm[yvvF0ǽ;;;4PZ~i\۶XQѽgϞmrZB?ZY"ٳgׯF! ,a/lF4MJa4ڂmGr @s}m:`,Kz)RJ)!BkV)FZ|9"c0;5!sNRv`H)vZkDJ$qܴ]i"P(#aB1Ttq[("ʺfںs@+ DJ !RP6Z3Νs, 1u][kB9k1cB1ƔRBHZ&I"`QJWU]Y(!c?1Rd\UUER %eGu`mZJr><L$NFaa`8%euUUy4Mrt׵Rb1R]Ӷm[1svv~zppg}EٳQVU9cJif{{{0pCMQr:fY /~$QQ<|4q1Mh!w}_޿Rl4%L&oBq2tRMeS"ZCiq2nnn4GGxL)ˢ( 66M$͜Ie?Zk B2_} cҾﻮgxJkzM ðں$%RRdyEtww*J)$MSc B(fӶmuY! !mDl>AJyCQJ(RJa7MR*bTBH!ڶZc90B*眵. C5B( 9! RRJL1Fi"x0$RRJ !$)%Bt"0XgBsBcQF,t!Zk~[+B\c9#BsN1@0ct~~E9g)1Y$qs`QBh^a-B 9I!ERFJi[k aX%< "t:kۖ2jqMK 2JOƣۛ3J0#4BR(G94`Z9UQbww"xg8gL9(D*eu]j5R ,BXg2Fa1F kCrFk%AX)RQ}wqqѾDI4EaJ!,#,/_a1~}^$_xnECapww4K?~^RGdgg*kontMQlmof|;W77iaB(yGkh/_ j駟FIL)[,2ִMeUYGc(owv}3..Σ(RJIZPE4RZ- )g:1ic_d۶G0 (MU7XquUY;zѧiºjuNYQ0a]7Q}O!:|@ b7I80a8뺾 rc2 C%d(tA(0B`A>ecu]%QJ㱵 xK4IҺ)eRhιGR#eYn϶ *z2cVcJ@aS AI)! %A4b€q 180BF< #X%qш$F!ij$edX?w4MƘ`mgMU_?}:o%D/>88Oz-)__?|( C¨?Hڿ~葔txpxuu}kzQ_7~16 $Y.^z1{uM)mfow3VUUUpWݻ] /^ F/^ (g&rʼn蕔ɓ's)eQ<ς `DxBe/ޞ']%I" իWqxRRw"I/8ffSe5M`ʲfY&\fƘrvƸkVUU1V)M˗}8ڮs !ڶEi0,"bkVJv]۶Q3ƔB2cG@RB(BPi6PJ1Bq! z!!uZR*vscc c $I]ιb+c RJ)P#CB7_6˲Zk=c9S0y-2m,G %!9)%1""Rs@ ,"psssssSUd2N$|~IQU]ƣƸ:Jqwk (6]ˢ$WU4MvZp5F* kt``<4FaSRu (ujZQBQs`VsV p2e)DBh<+10 8g,M FoKc5L A0 9pN* #LFP(Xeq4t2ݛNgUUC!d6[V;[J4zk-0A⻻9MQݾ[9t2B`B>`&Y4mJqvss4/ao7îm)g;ۻl O>'r^m6^Ͽ<:ɓϲxڮ0JnooT{;mf2dY xJǾ8"QL fg8k %#JJ)jk #PZyxZ)%}vBZ !Ƅ@j%#"cB[Ԣ(0\VapaFQDuYk8RP Bcio!9 BDZ:!wB56`ZEQdU:QUUZgcҢ((}DQt~~u%d:}e $bsssj$Km|)p8!Z+πPFB aqNUΗs B2LbC BHa !Ƹ핱u (z) !YmM۶wM[wPJY5J!z`0NZp1DR Bbs&sM1ӯ5u]gYl8ei4M]q ZkӶ5!XA C p8n8$i1fRRJ97y)aJcuRZVJ`uY#5eF\sf1Ø4bkh%k2)cIF)Qd@h!p6dQ!$SJi)%Qa"so3%6Sv7ߛNA8 $(0(NB9Fi$_>}u̳XO[PJww 򣣣˫+W@gY,JO>D+9N8!QzOǏQEv1|Փ'Of!ujLRBtyyUUf7wdz2&sBİ 㜯׫,, ǏH)'۳_^om.w F{c]'Ml6$IRamomUU5_QR7-hkkk\z%d{{( k g* Q'k &D[~#Ua,5F[k(Za[kƘ((':}y۶i}9k)s)1V7MMk())mNJiΓXB {!/c@RJs6b@|i#I!R!h1Z]5uR94cR㜇aEQ:UٔǏ8Xk1*?#_ccϋkШ ] 8PiӺBB !1IXk$8RzEƈSØ1t5!XUYYKvolI)FrL1F f5u1!,zU׵sW`  "a1V*:J(F" [csJ* 21RcՌ1kLUUι$I<35 BA!\EQJ)'''F8%|{1>SJt:RFa4Ζv:]^^a9;?l6iB|~;d`cU,˴֟|!,˜sR}%e^/4=988x^r9㜇qqY6ιOJ !d\VEaٚN#c|~^,WWW{{eY*=9O!`0x}z6t%h4*r6B}Apvvx2b |}r$ c,!H1zssSM$p.JbVU9/c|~~N)\| )%Y>7=acn"MӢ(q{ߦфBhr`4ɴVa1#Xc z[,pRJuFhlEs{! 躞RRCk-oo r!$ڍ;{W8u]۶]׭|gg(gRF@/^lm8W e|A^Y|(bl6zt6j\D7ucgI#l^Myp8ALƣ:8̳`/h8j&ѪmYY<(&z<`'Q]YBqC%֪mjθ֚, b0!k Fcd/`R0R14cS9LaCkk<)pI v]$AmL^ـisx5)cl4imsQi9^ֆaA:h3B Dw]o% c<=F9`gmcKRJORU. H)3ƨc) !כ1Ac4!d2EAL&ƘyQAņREDw}{ Y; m!_؟=F:b n0>=yL-8$`0tLǓ뺮/xMM\]^C8DJyttX(eZkJG}$zݶ˗/ǓiqO&$I̋i0Ɗ{!c, 8 !EQ8߿aڃ<χ1EQxn{{˻@19(Y;$a`uBJ),KtnTW ~(1DqƨRj5Fkc!4X!:\FJ)!zk-i[B)kƘ^Hvu7 r8N{A$!{^Z뜵 !^lVJYbZo haB<:q)]y7:yc̛{??8Y׷mt};7׃a*Nc lmiRJ].A)4 #;w9ǑqBDcT*$iģ0M3LYYp4tI'Il@HKIK\Hp~w{=ڞ=7(r"H)eڶ ҡ1"!ۮ"6"B4 "H(l#Q0tV1J3۳YB0VkC77x VJ )&)!/ n6lkpxqgie7tr}}$qEEYy~~vy\;:L&_|p4jy>8;1_}~0OVѨk[x_hmY8]QJ$=Y A<>?~& oFQ䥺A h-8Lk(MPf?c)5B6Im4X}uq,IN+%1œh-E8È3kÈ2T/@"D]_(%!pŭYGγABز,_z5@5gUU1Fm4 B1`Xt]WΎ˗]yACk! rF\k9Bf3 ?COzFKzi<˲뛭3؋>|(D۳gFI4I{(F˗/0}M0xӿv}K1ͩu]Z뺮(LιT}ڲ,¾Lu ex9Zyd6%(}b$iZk?/,OʲY{ժm zA>֙d !=z٬bIUj2qFVz=BlO?mIY}EaXWp4ZcuRҫBp]WQ%:ʲ(74$a"dA()!cBs"  1 D3b!D@!PH]B5ʘ֊ csq]} b)%A: 6#k-}cV0^qxWB5Z<:֭m{S ?!Q:tu:՟sv0Y˲o!ƨ,`(6VƘ'Em5NoS:ܬ7<;<<ַmok@۶OOOc8:: uUuh<_]]EQT7T)':I6YvssX.˪[]hkk=~XI$JkDaF]m[?l2k*xtjk$9==ߏ={$I|YYQܵMYJ=wqOi|/V7p4ɓ''_OgϞq=S: Cg{98£O?$ CaeR8(^fvkkvzv:΢(o1߾L&Mǫ^( Fu]{0PZ%I)mJXUZkp8lNDk1QJQ0"~f9jNiE)im!"kҖ)QƭgxSJo? ;J)r0 QLZ4Y9kG  ` GXƲ<8B᏾CQJ ?̥Ll6JcT=gc\l6jֳ*ݶ!Am:0Ak !BI_ȕRa81ȾyU( ?ჇuUa)&Zi%e^,t2vLjP욮ZSFQ&$!hT7m 4B!L0@xs1@E11QFQ Y; AUSG,Kb3N!p#XUgsn8;;3?b h8x ^z<7.x@k1ެq1=::mMBm ggM!hlUMei4Qic^~ X7N9cÝNO?w1Ap˲Alk8Ϗ5"MSFg?f<~g{$,Oo۶nl6?r}76]GII B7E1L8nuY]\5mey4Am7&sjoooY;g1[[[a1;Jׯ߿ x\7-&K*(XoVi`D :?c!JrBx1bmv4!9ǃ1橕B@t #$`ZGX~Z@fPB29AߴDdGQt{{uJ)YM(kc64ͼ0!TJgh5Ro|;NMm."EԏBxR7֏0jRA f3kcj[Sot8 ! w( m֖'HCcsRd$N0uSfi !*Ibi]yYcmc,!sZ.zQ뇏L~_I۳'oX,gg|_1WeެA1i*۶SRկ~f{c۫kpv\M'S(~чa:< 윭f<#~Zmp`Bf3B _}1 FUU2/jclGB'[i_]]iں9gXJ`ӵ&34ȇb2ci_z5SJ6m ?s/0inoooK1BJ<ϥQ.$IRB4ɔRD).Jg{!Bjc!  PJ'JIL]k @A(m(Bxww{<}$|Z?4"Mq|SEkA<9sӶ A!JI?52V5Lf3 TkӶ] X op5~d2f3ci (#¦kyI)֔_)mo6E״iUC[kB)̈́XF޶sBJjnk2BB1RFQ2)0 <89?-68vv8L$9gqa1ގݓ'}ݝh::6MgeU\_omoi^-:WO(RʔEQNӿ;th>2al4^fidjLɓ~q\-5ߌ:dmp8jmu5jk{6J"{7/x/K6 R-RJsqpK)ꫯPH*mPcq|' @u]kcZ?>&ߵ|K{|c߿ ox3[ 4A]1 Cc-Ǐ1W)M)ea-eY*@%fS BRiz0 +M777Q0 RJ xahfSXYTZAq\Vs7B7YB0{@ԶYm{[߆8A 9q(.j%6! ^g'/9gcyc bDZj8~gGrwwz00^xqttr<GQof׵ZkJ>{k`J*MeY )ݻ5ۺ`eYj8z*A)5N0u=Ͳ4Z!].?BEgR9Mg+)}'﫪8|4㻻OFN&QeQ!|>.(6ZOyuE[[ی|ug}XpS Xk뺞&wwIwj6!Gp8/ft:n\>|! Wluvvں??FQԶ-&a1wvvڶzf* C/IyMͫ .O{iOHʳE`qRI4DR0v!(gB+oJ1aƤi:)}bJk\.(Ò~ɗ!ϯ{ ћ.CG2iiToY߉oSLR !DQd2Z7M1mQwh 8/Zk1L%<$F몄gmθ40~Pkh8<==dCBp]#1FUUJz:$)eZG)J,寯(FTDGՃ<дM3fZ(j:総޳qDi ctYڮ݋Hi8VZ %OB,$Nsuxz*/\6YIw1=h8<@BK_w _$iM;;< WuqB'(lۆ`)8akAG[[9X\EY!B{]Z@i{CFuZ1XEEA`:/d!UF)9nbl6}OR²,-緙Y9͋H8ݝ)eC1FֺR*%\)rGށbSZWuZBeY-WKPބ"p(G0B!`wwZ`0ZuE!O3\]]ó/^\\\)E,Zneی`pyyɓ!;;;/zQGl<>9ǣԻvi'> UUEC!WO_?FcRe>/ #BH)]ϛ$QEr||1!˫ 6~駳ZQRZHtZ!^|᣺n<#,(z-k˲?pos2p0FceYDQףѐٳ((Az|2l;3|x||jy+*]ǾR{nևd#B~G&I!?BQFBHs. 8)%] \W[[t:[,i~\29B(MӺ5YĒ(N6MB3o^tcu9w{{'j7ZkLBBRMcl[7}/!@rZ〃 ,DRFUڄa XoN:K:-s):IidIL(NF!㜒0բk$F8N{y>i<w~7?٩:ҦG~sctww˗8Rusww7Ҧ8βB`Φyכ5YJ1Im@jެg.dfY_|eu77QC84mngw8I?O&]߯7tm!Ջ/=~\8|M=aO??>lOf/^ۉD~A4M3]!#$󽽽x LJ<}իW>@Xd2(%ӟ)i(L&>twg>L&>S*ӏ~h<>wlen0%U]vwwGI!D!`p޺90IUuoƧ_xp`F2T*ZS0Q{V 8P usV )}3lH m |xp^SJA?'?IB'|#Qe}? ֫W/jXO<9Z8/..>|F*q|zzooO>y]HsaA!:tiڮ˲9A/F)z)$~gRJ1 )!ιnW:BR*ebcZoo Kk 97mqUuPJ\.lk3P^pďx۳7BB|ʅRJ{Mz;1?,jk5;}:lzYM4MI^ Bf?,K1BRl@("0Of(#t]FWn6!c9ׯo؊p0l6Ŧpx~S !L(3ƭZh2bDRVqa8A#%`:eY!c;[[6ѣQ$lx{{Gh8g>!$q\.9^zeݹǫx0Xk BX￿^0ƻ;W?~ER g秿;cM;O(:>>LuxtS*p8Du}=N7MR)@fn>NMxss{~VYxXLgcL1&j}rzZ_]t!\,[[>,BF/8zoor{{Uw޾gEQB8Bkm8)!GPJwwo&Kӟ9[[Sa׵}/߿?L!Q,4DO>(z8aH=WWW^ń\\ cko=Sky`$BZB(oA0aay%2ipXE'$0 ck&4J)q|LkM!Mz![')ٙ6:BҲZ0lDaumoSRL1"΁j0"@@ۦie|&!BIN )e~߇=lh;?:<ۿ軻; EXqYֺ<ByZ-y}s$r<M/fgR:8^-V$ xD)B۶gYg< R)`G!ktJqciSn(`NF@87B (%uawvv1Jݝz}l0 ݽ/_]^^=y{~UwTzikƘ`_z\y!_bo>_ffO "~Ճ|+J4WUʲ pyyELSOr}Yŋ ojYI4ooo sZ,6Esw7~XZk4 @*S(&^5c|>Bm}K(o{cu1SGF7%40ΕR*aEòWas1Ƙu">5cvQx;h41D'y}01f0a s~Чuz:)G_1},;xAxѓP^J_wg8I EQ'{R^[݊OA m! N)$Qu>8Z!!BPU|m4Mlf<VU/)FQl&i31so\'EQ2B m_EQɲo^{x\ BAT]ך1ִuf^⭍RBTB m,ƔRapT+iRkJz5JюGf֬+e/r4z/˲|>1^L&''scφA_~l6_lc`PǏ1RR( ~_ )=zXW}MǞ ?۟=y1.(Zqѯհ0xw%0 O>;??Roov}p^C [z_r6-aap8Rf^. gjl\Ν5~'z3∳П۽y7w]wy&!!HY,Dyvvv}dQn>pM`僇71&N뫲,,/YBʪ.!-/_Lt>Gq0Y-A21~!!l0nU]/,ˍBHC,B% y !䝆aVJŘZwLo%!c<#N7Do1SGB޸`;د6ߎxV#c -׷uz44oݛ9gJ{guIVN)6X߶R qcvOZ0LFcPJy -0 4BahZ[!b)UDmgREUj|$D/VsT&_4eI&iF9w:{iKF*ݷU,Dwg${LJ2ei:F>ngw;{=ݖR|GQƢ\Jysssޡz4 dܶmU>{l2> l6Oѣ[f9<Fkuvv3!j\.b]^p{w8̤ZkN@JeYYI僡6v0_MQ?Ymݽ`ĄA4O2/j2UE!gA\- y.&ov8#eUa~y׀'I[V=7GGZ+{^``n$M=xWsveFr^-~p.`;- eP*Ap}}d_|Cq~~ݶM"˲iTGGG_6Mݶ2LWՋ/Z{~~~tttuuѿz,#ofi55&cytt4d\%ictm'p4nR*]7ujAEayMR*cL@{}q۶Zƃ 2]k㼡 YqEYuSu4~2<2<2|:űaJkBIƚקR8I: HĻ=v|#A>AO5,lY"/vʲ4L#B @kX,pO{q΅}*П=%0ӭmBs0MSpGGGZI)V)|^oyVrnZ[Bvo14vH=6/yWWR uZ2i///ڶeA (.V֪`B^o's`LYaIm !^=N'~)R(7)Q͉!R`34u1Wg<{ km0J"= "\U%"?99۽̲dgg>ͶNs_O(LeYj:;;h8|AǏ 7M3 >z8Oi˫+f?8V+gofӼOOOo_VAl6ʯ]O?ޱ9Y!g:gB޵m8c1n8M(׬F/V+zFI&$ C?aN)CFлQ!hqFk4¸گ>ͲTQc !7wa~'=qc A8 (2 G#YFAvmDaJ(%Vu pU1 )cD:ms "?", 1~OsC6뀶oR:!RZ+ BB2`uMۮkeޒ5l9A> Ӷ`0l֫sg7{7ٟw^^.P=|Zy/Ro=5 +|G}}]]]J|j~ɦ*rn( ۶L&]!0!8 CW׫( A v~ mv~{1x@)H}u]' Uh !q­2 !EgA$Bk)~%t8Ȭڐsg֊Q1 !#BWWip@a%qb!A(p]__gYﻇ6UZޚimt{՗?o-Wpzur,˅NNN}= O/..躞3n^__UU#Ec jqPJ)z)ǟ|{|^kgh(TQEQTe^]]iv}}ӧ޲/DE!BJ0F!=M9C- aRF @zp44pYYk,I onn&|>m)eتmBW~^Rb øiBcg/&1! !X'>z|0g[3m6&`!rٔͦ Gr9ȇz$IuBJΙϺ\vi}o}.(5^$cwZk 8I ֔`8a dimc:o2ԓ$񚠱 tӶF;wjm!k5(R/OBz9[܋aclۖz GGk_!B #8 OWEUדBXh8)2 .ڮݽj|gV^tWҷzB1O7t2IYT}2"6Y;/" c@YA`BB*@I I:x0ЮkԦ땃$@h#8`<B LQ,ENp(]ߴmM mZ YUQQruqZN_Ym0~}~vt>rZoؔt:M]e[[rpQBN&#ܽG77w)/?~ͳl2˷~/~4Q<͖?ÇR電x2G7{NtRaUvMӵ:qQWzͶVE'gvppp|0 x]#Fb~˳DIFeQ4!QJHRʶm[[csjŃA8oH Ti۶ڴm5V`Zo5"Pf(0L%QWu'q6Q! !!Jr)fSv$|>GF,"(ض^8#1ʶw0TJ]׷Yj%!Rw4ˌ1B)ƹTJ( 0yFXak! Ȏ2?SmYa_k}UB*TA$J ֔4$ٔ=,֓E~ @&ۜv_f/##f蜏)s!R2!tg= !|R Bdxی3"ahۆ}4M~GF8%,'7OS)Fk,F/ qF(7uq Vahb? )1o\kyݜ:g\UuJYJuyyusd?\_޾{s~vʢ,bgficzFcN݋"H)㺮wpd)U䔤9yR&k(|f%o߾UUTbj11-,}0Yk3;4Rt#T T&q _J)jsMdQ0ɳ狶BU9fFs61&lYi,>E~Y7VgO>{/^|ɋf缩y1ƻ'Om{:63JiLIk峾ͿBPB1c1X!BAR!u1cu]|<>*A{UƏ#S1nC1VAw !YV0\o;Ӆ~'OիBHN(5VcϽ(,J´X,;;+ ]RcCk:8;zu6Z[s\ 匱 c!d#F._m8#BPN.z+/tZcbM]!ڦSzi>%g4F8z.uF( H޽ׯy/~7o4CG zM]W]A,s菾뛿jw?BX,}{(ֹyui\n0Bk??w7770m~ӟ2S44shf؏wwvX,yn]QOX'#i׫Đ8BzU뷯 e@,*% Di15@뺞zzuYQcuc"e1IE^J;v5{# c a`d?(,XLaӶ`QKJ|\NӴl `%t5lA'`Qcv? ÉRճJ㧟~Az6nnnni 1ADI1 1izYÇ_*ww &sE_oN01*Bp %KЏc0+~`)%&I44ЄbBhaY[gʢ(ۺR=ER8Bi(yno_8ger6݇w9{:?>dYyoٓ'ORUY?_@[u |6 xu]7a^zx<.KX1~/ӧ??+Uɓw_W?u]׋m|і7~7|o(ŋ\w0mh=WUus˿jN)={ÇweYzg! p8 )e4ۆMGx>t!~/*1!0bIpFyuRʸZwCG1fism3c<M $>}t8c6MӋ/B=ʈ)UUB 3kcRX>}]BGdz̥y*RʧhKR,+P]Q!*7[yγ! R}J)~݊VJ yc "y?ڇx|~g?߾}}z?mwofw.tu}N޻__\_O1JMHno?f<ٟ}WWW\qbLcr> L*U1`!y"B>m-8GF21\`Dg/ڥs~4c RZVLz'6M'=yr]UNc<Ãh>B1)޼~CQB4rS~ ي))'ę+UXRks˜LZSL)!|sYUHk!Ƙ)eߑ@ۨ X Ѥ8f˲T l% 0!.+@ʅgGmVU جׯAcZk +Fk] w@g u  0B/*ڶU,K Tw]\\x\k}~~iЩ,hm H^JDYPYJ_s.%D73uq'BĘi1CRJa&!hqE5 ̆p)*inW%&|s.8nwheB+5 qɅ1B؜ cL(!a41 `!,B\{ֺIrF( 2A1CT30wXEB1O>g`aMIXfA&kf~KHf0fB> /΂j1}SI|wZˋz(wCӴ޽l6͢9M'0 !(Qqz\.1FPUU9gFUU{!q)%Ej-8?:Pߝ@ E9}(&B 1QcaD0a4`B(eYR!iRJrF[m]QژsTc<!"IB)eB'|N a lGcJ)BY1 rYHq.oڅs^H ;:9}? 4)`o!h2` zaؤN'_X4Mbz4Oi˗>rR BO!>B9Z9Cv΁Ff $=ң]+z*9ޚi׋Ju݉1^1,7~\>qէ pZH>^ImRj c\k=Or^*nm[ Օ:J)x ༬,5H)W%!b\7몪UUWZ(%4:0#}ʢU;RzSNU`%3ƅQcBcYP*ć.8NBq8g7bu]N]2 >LZ Qp 1RIR fURfBFPHQ)u]!ƘݍiE,IDATApQ~\IUp""u8.8NJv[8Me]QFߏBBQ!'g(g)#B&,ˢAp`))yֺ(ky#L  &@].IAEwm"WB>繪*(IKbݻw~ 0`k#0l {ӧp0u vB?4-7o,+8d]pժ:4͔R74\˶mV)4sws8RRZB?4Xc^!RJ ]? #F8)S]}LiT`̬sS֔l* %tg|UIH黬#"BE& ʊQf9ϓR+, %k3KNz1zcӧO~r\i?9Γj=d^J(aPy֔iR墮믿ŋnr[yt^WUU%#EQm6)M3OB1a_哛Mksd>Ø,eU8WUR:|xi)ǔǮ( 9S?Nq!S&J][q1f*Fx"PVM!#TBǮWES„e]?[諸f焍wrq)0".^$8!rM8K(aB10Um qj{p82ÿ䜯nWvo179-o?!~ 8UU~WWB_02%B7RrfDx YCB}GwǓ(v}:,DaXvǺnqѺnYKU@R38CĠ{I^p!;JiYMۂ}hE])x(hB aƐʲ,b)}=}sVe 7j5gs~q~pPJɯ-;Raop8O? Z \!a2)!F crDJȅ\dB ڸvrs% 8 C]YmQzd8b)γRxbN(c,,SƔb&!&ƹq1#JyZPJ) !3ҜsRm\"Jǘi 6 F8B!|qu50ҳHrw 3 \1z ǙxJ\L miD[۶?|$D6Р(=8m aAU*"#9GM)]^^=?s&V)UUpZ7mO_$ =RSY*Ť97M#cR"nw\isc}8@p{ e |}&asv~}4=}|q*OB֘,˪,rPTp͗_VE{(03yN |M1"wwwϟqJ̳1˪ 1gDM@u;LpF2cL`qF8<3tڇSv>eQQP< Q@uUy>[()aDhۏ#FD~wRbDqSB)08%D9GcB JcF0d7m;M:$USgSB3J\n>zaNY.}Be1\m4liynsʩ{Ŕ2Ꚁ?T7(s)%_7nX,OcQpw_Vnr(޻.sc[81Ɯ|`E)UkyJ0 TuUY뺮)rZ[JYGzRj !#!.RfY3„P)KJY1F"Ƹ(Be1qN:P0 1jDz[Bw1ĺSq///йuucuUI%gu(eƅ҅p:fsvvoۅsu])UYnz{S@8sYV<__T5,Vwշw #8eY`Y=1fa5MswwW5,JnI[ceDլ)B>ñf*Iʅjw8:"!DX,D㯅o2J)g84~](qZWm8> Cwq~&BTĿ3t:m:R"BXӴ}B 1DOdz&Zޜ!4Fk4C(Rosn͌q]!Í9hFu(B9PHeJ%;6'Oo1?Ǟ '/몼\sus)Z*1Qnz&#s$nڔv=:ƅ(+6;)eƹm2_~k=_]]pncz]0 ~oyTs(}]ք`jz7o޶(~kjXUJCf㬧B 9k]hMU4uX "2iC>wۭ†h)!DTrkcgcJ(A ^TLn:c܊ 06Ɣʲ!̳ƑsQ7MP>i jB DEY1.ny֔qbBz:tS-W+UT4(*  BQ9S!bLOdyzp]7 aՓϟ>}>TUW1΀堍<.L0c:R,P6,ʲ,:dbRn6gZsX`_xf9??9 R>|o߂b4MPF>z}D?ZTլ'1!nZ{ )p@S=O={&|MQsY,ŦﻢbL4Cחs+,0m & !ΣN!ʪ|uY441,c̔SJy6`9EBHJq5#`y̥$b931H]8g`b Ό`FHJ=p&dѻ.7Zo~s~~z=y\_;7?d@ZO\EQy)48m֛JIcZl}AJ)oBxZ[~_E OEJiݞPxpm@)Nﶔo_BqYPvqqe]@2B1QU711B a9cN/ǜy˪w7 jFBucMJqFBRUu8y|u](YPV50ƹafŔ3˜k\h!E )`cHA*/캮].qt;R SJ~TW :}>c6 !bدV˦i}iR?9D31Fכ0 \0lQ,^~͸R1fH Eߣv*o<[ۖRq'7Os ,JEU攵ւߩI1cRk\U79#^|<FK)uU$gϖ )#xXTe]J*KB9[RԵRo_p.2NRj)z' eYim0> `k2baJP(K)%̇֗/_~x\]__OӔs Wk¾<;8|= 4S,(ȧ  .@ =(`7O41&8A!`3ƌєғ7!Bx,>vY5xBpEQW8뇾(hiʲb(;RdRB߽[4^ %0Ʀ(&8^\T7ilvgpΙ1#zYV1"㜗JgyJ1RJaw}S:[omUwE9. E9THRMc\,Zmkc@A#,ƄRGV=,x?I(9?s!ƌ!L}HИQa'FYYPURv hB$t.&\6ɸi猰X2** 921%y !!;Ju.7*k<"`bYp{t)ucaY;Nn+d2ʽOpraW3eusnUIUZ몪aWwС0Ɣ!;BN! r(ň0bZguXb~mUU4a@U$O b vK;N!U'0;;(X_-FI#r.C0`*ŔbƐ0@Ge>m.b`9EsyuS19>`\88G|qq7ۺ\ŋ1FyrcC[X)4Wˌ2dy)FHO9qQJ9O}n#Fx6ZesɅfRRN)&͍(ٟgS`ZS%1/.ڶZ˙RRpF%ez0"q^K(CTp^W%ByZŋƙQYUq_<lX,ݑ1mT}e]Q0a\JYjm((e֙LBLSׯίNgnsaN'nziן}ƘqlR~Sk7\\\^M \a\. +eu4x\HsТ9)P}12B6Z!r.0\H!QF9#ج ܘP,TY5&va'Q1 L5.gXcJ#MDJ930M1$B1Uy q,!N"ɿiQByݶ `xwUUŦ]4Ƙ??v !G%:`v\X,@ e +:bXksӶ퇲Rز,zϧilքkz1N^F~R<-zaB4eUEmJƸsB$l+p-=kmC1Z1% c| ]4*zbTJ9繠z95SYPk&Jnn^Nô\.?s7!J .Ɖs^_K9NsRW7Sma<#2k#BN!jc\LPjm99~ˢpVUn&SI)e;!0ϟC\ًE&*kmS |m\1dmMJ(c~Xa0 mNJ_.m?Rpq~G.˜saZcq'}UzApGфCƔeLva e!8a[oBhl&cLx8s&X?8|,rtDȇ8LƤuFB9%b,T=3BT2L #FB8-pJ(Դ6:S~i6q Юj9 1?4!z_5dGƹ;t )icO}"Τ˪!JU\]]v{ʸT4LR}SUQE1JU8:c]Ly?hm(g%Rn,CFX*x \.hc,|{(ꪁkH8礔>|k4YZιaT8yـa\v}s`~|G4۶! O]7%dZE=ݝNP{r8ڶGRDu{Z.SJۜ3xB!F!іRP2J;n\ΓyxqIcNN)e>gPB<0ޅˣ1c,괔r|?㠩+ uC!rf s 18B:xPU9a}BQ.){XUV!DƄwPc-**}xx Nzm7~ӟf1>;;˗`B/w~g4LFJj˶YFRJq0 2"DbB>f0!!pBJ1fBu( H(Eĕ,#ԟs0naS.YbBJU􄲨jƔUy˲Tyvqgt*cYT8匆aBTUL]H>%T/M !|Hqn ,cr>8 f3i\w]?@/%,bRTҳi.kY/6H!ylKPBڹ1H !1f48!L>srBpn~n4͏~,5d< (ȼIk}:u4i%ŋۂaX@" Kg4y8xN~tL ep F !SR¤j0\h119cbĈl61:SJEQV+1 ( SJeQu "!b%(KN/KrV;!lZ*)JP岮uݶEYCuT4bgǎ"$\7j2'(cH~BBAdfml:oo{&8 ͢>TbʌXexPN( )D۴ks!"v_^\])vz?bB_}(c]ߕu5NsX{<{̇~J;C QmvH7>Z\Hںq7L6TH)c.S79Wz#&:r;"„PVUuF؇hYpcqƜwy18 9?aAqyuA ' ^rY c<,IEy?p&#L({xy)S98ʪ>̳Y,ׯ_ !M&]^]WuSRacJ 9cjIPQ0&%b$hkЛ*Psmrw-8!OSQβCl'>| nیPQR*8ljc\yu!DJysg˜*E PXڔRBS/i!pA豔2!DYVł}6L)B]c(c)%kR=`ՒssNiYo6^o(Rexx#.xqIgSֹ a,gL?YGSF$cΙq9 CU!i더zϘf˘Ȅ.k.d(q2ct*眔;c\e}?@XP1m,gg>cl]( \ !-1V ?(c !PR0c. cq!!bnkD(>Ƭ)TeN;fYn`Ì#L0a(PB)E5#(PEN+3FrFsFDH %g=M4pƤevU8>&"Ad4͌sLx|bC9G3Oe-SJp~니v7[F1)I#B0n~eLI}fN%,EQ ZkOjϵ2 8@A/0^)%PaA5cgP!c~=,A?<_jɓ'RʛPJVt]Whf1Y۾꺕J1!(JnQnRƌbL0R%s(3,RLNB jF SRl[*4M9aL-aRJ4~Q!KTEm<*d#\rFyDHBH5i.k09%%y`kgMF$f̅dSF>KªPR<(' vvޖ)pFRp O欐/r 1jBL2dDf{)K}L9Ę2·dfYy6B󋫲.sX\F8CώPv{wcy<Ĺ1*%s0e5r=Oe )d R! onhRaRgmvum۾!B @ Z?<<|t;~'qуR{{{R>p( {9$c_q!UEIl`SmXZ3ϳPb>rJ) x8lc!B0ŘB}vx]iBJ,g˨BimcpYf;c9(tOS۶݃[1&D)qIٮ;9kg7WWYHYe~{? /a@(Yơq.edmƜ1t2z֖PJ\ !S*02$UR>!tgB4͔2geeSat]W0L) I)]__É:g.KsFs윣~RC V8T"hλW@ FZ /nCg?Y۶_>O +? !4ش1?яRu]k4h堊/\u]yh3Ɯ0?.sbc)'cL!bv>E\gm1c .~5U/:ժFkyJQc>2c !EΈs2gD!Fk_m[W |'ι1̜@r粨 X {JP*FRZu]V)iJZ/1R)dA%dЏ1eyBqns1* ,3eB1s)l}@ň YzP)qS6iֺnuK8Na.r0zv>dBs̉2N(,#\SU(XBh?s\k^m֛p~8~׿Y.!S*8NJa3B 9WS?ۘ1BJm=SƘ!L|2pHu1ӡ;%qF *EQQqJ9g(GC E_|hMY)8ѪPalR2*dDUH%D B)T8۔)Ϭq'7eQ7oatuha೶\Hmwvhz 1~[?xV덏!esg1!UM"pĘyReY(=9S*YC)Yk3JZ!}ypL0J1b {Bu2D(KVUJ9 8+.P4iy_~ufXjx胠@I|?ɮrL|l_p(? !# ~i(8aL8 )۷oO# cr],ȹ!-j11O8N1a蛺N)i~ _"dZoc|bH)%tZc罧9焐!?Q0RH)%B1b1&H}Ew:.YrfngcƹC0H{LyLhm؇$D]j@<R lRǘơr8YWU8O)q.1N9;qBe"b)cxS·* B0e9K)9CXBn8x<_|y8pWU~'8̈́ k,nֆ 1zm>P%cB%d&a?|zRROaA vEl{Bօh VE!H[J)TU] ŋ'0췜acJi iý`\nSJRN` !L 4eq{{[ӧOw{1/͙n- @Xb 2)EpT!xDո<޻u6C9euU3SADlfp !BsWW/^iGǴ}}P]\\H)q;DrekA8$K)b1O?NUUu]`pK(TUՌv!X)a)|eU1B(p{뜟E"u<3.(e}7 mP1ıV5ƚ{F9:ߕ- g5d,% gۮ\YO!x !gD9ukL^xhxuUzUΆ`ȈPlH!ebHȇDʘLR&qB2sA1\6 gls># ?c5cMhj"bL0SBq[֛%B;BXVϞ\QBT)ebU783ƥRWWWOǾ뎇g̻`]˷oQš!e|`B뭏1.$b6^[o|v!(YZIw]w{K1;ML"t8migES($[mNaRqFm=cYZ9(TpsN14BB#:WR )B*BpmY %덱o2BEQ0&ɿw]Wu-!@˜øޜaϲ,1z`3‹\]7uU1< 3%a$"c ! @x<1`Z'O뺾\BkhhQ*vpJr=}UuY䔦i(G) H+gi LS",l|>dDBLSk]8 =*BhFHCuaJxc )i)eŔH)? >bJ(de-:HCmw!&& ƌHXMB)gcD ~RB=%zs~sBS.T!GHfY4mRqJY Q (=#gT 6u:s6gcw@9R2}8eU^]^b6,"hֳ2u}u("Tc┦@`9x:H>M4BuSI)S)^Ja!^JJXN2B !TQ2s^k i`n!9~Ћvnsbn`uuu?}A: a>,K%A88bf?j^tcҾ!ϡ?'njBj']WuQr603l <c#F0B`7Ƅ yqu5Oڇ@)1c0>l֫[FY!4 BQᜋ1CA!DRHJH9ci0 {ORHkX(JC?()q@)MqZK)Q/kklU7_Pc7MZku. 0V[Rap#0kںm\Ur,JJ(嬍QSJ9=ңbV 8'J(gL06Vs0]׷bsvf!Z?|PEJR6 C^I9=%yL \1&1!. 1c}7և !˄fsfaq@3 cL (] s~͚3UFWmKYJ-$} ?(Pnc^BxT ֻ a^byP9O0n0eU5u.gB5 fcr]Sa1hvu]_\\H!t {$c2 r{qq뤔ಪ099E(á`mN)ĐssF*l c !0n{}}B} ^A0xuuu<!dw¯ }v81c4e0&4=TZonPvX>} ݻt:Oa!h]wh],8S:' L 1 L(=vCSVT5aCRJ=4ӄֳJ)꺮ZS7m!=Gtm#79)qBq;a˫i\(* Dև(S)n\emjJpCI ibVऔ|l8EEB]w޴M^uYm;eXpR1JcB 0ʤ{DAIwj1=Q͛7ժ:o63ƍseY#BB>8W~9gC(ǔgD18hL(ʜ1c2l.cE!J3 Y_VSK)$cRPFrܖ|YBbC„(w(SIa.f#fB0"f?3nϘBR6ƻ{1*aO.Bq09_\Blsө}{Z-t0!{o`ȜOz\ktY2w]̋Ϟ UQr) (gUӬsyjvaBB㱣\PEhR)Q B\^]dw3XYU͓gw[xϋ6I #ܥlMJ)떓TQ.DAuSbC)0r8yrJ84e^V`4;+ Nѥq'Qe,Ƥ 1FBmH!m{u}g/s)kJgD0vbS?挍 zdO\apFc缱! Us:u6U]NH(&=NP(UU|˩;=K}ӈSJZGmiQGD]?tN6fy16ϙ"Qߝb՗6b&~0.ը W%Ghfq u)zE BJC1U<^RI)m?h{U*8HKû%YcD"(t80Fh%*'77www8RΡ9e=k01R֘3c,t~~nf{竢t>?ytHжmU1Cy?x@ˏqVywn\„+8PrJ=%PLjXc8в(SF޹o&brq&RLIijc BIJE!y{l}rQʤ*\2$$$\k0RWJ*>[.Z+U`*4OzrQ(`{bmz)R Q\ %D9#0!e=*J='js)}m?ۜ3tqn|D8cJpx3AR-x[U$C,p[9Rq{uq.Fw^ >| sJaS(!*!1)1J1N9* ʂUHj& CO>vzC977OS ̓R8o!Djc>$vw(Z(!NɢH)C,g.8о۟o IcqWW$(nDRRzN`eUk6PQYbVؐ~we}E̾}{+%͛ݡl &Q?^>QH9!3օʪaeLʢv[k g<OC:Ni)!?w- # P!mR R[@%UQ:k %XJi Gunk99!`1i2X3ey0Bv7!$2?{2yQ&eY>}t^/_...@ G=>"YӧpEt:}g?QIc̢ms8N3c 뛢(L 􏪪D0c %|9APוr3J# a)e&gB(Ô],)eE!1x<⌄\.kB0 )g19((e1e/PJT!Hk8 QkۦBJi3U] !qEQ TE ,3,CgiPBey/DBŘ&= 0j)] "ׅz. 65%XY2Mx8v;0@{#ăWaJr9RJ@svv<RcLU}7 c|}J(#&h$Sac8MJqJ))bXPJRJW8PsJ!18Mbr],s)wtBw~Z0k1nuU>.zZe6'sAH1c7eU*>w9.sEUӨ pf4S ,.j$rJ'?,MLеxQ!SVfVn4 HpK_%vnjK3钩3"zk5>EXfDxu1NYU4ceFy#D0Div6@h f`LKXkCEѢZ;R&`,FF2ݫoʲD^vZ |Z}twC1Jb)];D{fU0.8M(% n7ˢ)p>\Aan{M3x5(䋂 Ƀ"b?~Vƃ0i2ôX0)v}q?-6"*\> H"$jӍz{9+Dy8_RQu{>R<a2󳧟|ֹa^ݼ9>XY/{yq9s1WUB9Z,g˺\d@BX^8g]!F[Ωwp} .v;]y^X6#)Ą1Xku.yZ(c\\戃zǮ2/& `aݻUU )vYFi|ߎE_!znZ8Ͽ/ p:{C1@!M3>dRĘi¿ß6Mj[t](7]zΤR( XicDŽ1& ~Qc2nw!0ZE"` B} )\D 7|RpF1Y+2-V"Hp:eGyVZk0@b 5 #1S6i~ZiTք|4&=.Ѝm1z.K( | @b ˢ;RBx@8.!x19kuU"( tyq5cU} B & qX& q.DX5M!1*mvs~>jΜ A8s}ywEɮvmSRJ1Lp<*<ew1E=͊qi[Gf{ 1ݛe>f PZ_\^?~tqxET۶뺔RQoިEUU}s4)^ȦY0!zE,)1K(=<}?E. !~b ?0F޿m>{ٝBrN1;흱VSJ)J-E!s#蝋)1)%Bea,Kᬧr&sN(uK &:(J)A矿{.J-V?cQzLC.Re^sUUh1wcS!t{1Md5cOpL)%F8c4Q88u]bFO1yfBBJD@8A0L$轇'RX`hE+(1n>}f}vvs{s s.m~l2>sP3 :+bӟ4;Y^LR90gg777u! UU=|Ziʼ3h?c,%7Ma^y{7 cr.Bzo&ceaoon t8UUäs.q 2TarP=CxǦis]1!bK))`7`uZkTR.T:4&$m OV !t'ct#0JwP9+Iy!=zbRnўU?N.$¹5$B"!8; ĪV490j)!Tx!pOG5La&D,*=@vSn:' F BS*!F)y^8뇎10tPL% 6ɣ;)ݮ;|Bpk fƆ( CӬC7ab :r.Y_B6^Y1jiL\)A+&|\LԴk. c} 2 8WaPI&EQPF^TW%ԏs6?y A()]_]ӸZ51;gO!q Ym; cJ@pg_P1ˢ0@2M4N)tn)D16ne7yyX7nAwV-SNpg 3uQ" $X焐<akXP, JYYU N攒n^{n㲪ٺcDYBz7Bl6??{p397 C֝dHC>s94M')c{3ēSSJ&#ɓ<O~6M+\\˒~ڬxy^#v(Jo_UU1~ZgƸ,qy|^ǼU˒=u];kq!~G0R tnM 2cLQ1%Y $mx$\rUe\]7tRyiڻ.䂃7i0+$pĐar! ox8Rބ0u ӜRїey۞aTP(Dɓ˲8n0)D \4UYlj4l)9~nY/߾{3/s @bC(7۝sn RBlvG2M=,meʍ)eazet:5M'_ɈqJcj9{s}w6ETzUӀ@^[ta FJFg)*11 "g,Ɣ\ 1yo+F8>DPJ Z缫i!οԲL|gaBR)&g<"o&i2FzJ)ussB!Asן}Y~r=z]v1e2m|[9~2cF~c],=RF8!H(j];gҺmTvsr(o,+J%T/x8`sC?19rL&JF^ -!Al!)tgRʅBĘ禐QŹ"eя=35OϧC!Enn8 )ooosXf9j YPiZUƎ]lʂnB]]'oXVRqal̥J폧d}]\0r,A: hu& Yk˪H1\)8mj^hJ1۬bjY.v@)Ɣڶň`Lb.DQ)},fQgQ]?PVH!RbLqx.eYKӈt2;mR M]Q R( US Iu,ŶYKK]؟}ͫBEU jU^aLCNB}q^_RSWUu|:UUYŋO5J-eUyfTeA Ϊi˂3zV.K M?uv KVFc!`ՔN1(x(A1A8 BA.heQ"(yC qs{BQ]?TU%e֯s8zѣpUevRp)֚{AXL)q_|+eY>}Rj|!j(/..C~<NJyk-W3Ms۟ܶq7oB433!&})Zk >SL1&\\'qBEQÀ ."cu4弢"$s6hO糔r)t: ^Ke\ OC'O$>f$/_L~_ Zs{ut, R,˾eއac ]w)CجגKkMQuU"LQUE ї'o1e֫Rp!94'eEEQVMac_3r[yo)WZަ5UUUn!e:ڦr'8qV/5 ]QVch#LF<"D^oeʲ:4W㛛cMXcuSqF26]0 HVzN(MݵeSUS(4t`ÃDŽ|ѡ(e0?z|cyVR APr3@)Ab BpH)3 Ӽt]ò,43( ?aCB]bR~g>HeY_O/BZ[?Y)my^WҼ1Řb`^yQ>D;ƹ1(|}x0 n?B?gp}f8 )?[b)eZ-BhzcX"BY'>Xk9Zf)bYLsRL34 B,Ϋ AdYm]RӧO4~12/Re~1"rVwMӼ,˷|bd`znbjqn)2KJv9 !e|0jI1pW;nRKAWRpL9~R:)2Q 6&@(-˼٬ CQI=xQ2F9,LR)EURj`EH`T./$ ”14BnCkc Аֆ0@z$۴lsk!cPvnkg6kVjV4^l׫d8RV 7,1`~8 ##BQwW^v!}z B![MP* YhM(es&` hՔeɶU]Wj!V+)yX !dO<Q1!>Dc\0D .S)ռ`LP%ć; O'ʫkG$Cp EvB7Rض0UU{Eu:ϧ~l$Apja+גI)Jsii6z_%{6UT]_]X1mSeANn1#USwS _L`4ve!.6/>wJ֮ڲ,B UUW1(ʬeY1c_jpH6RpD <1FEN?~ѣq3TJ[8")%''?ɼ]q,vs粪RyL~{{x<`0;Ǐ轧`=ij)UQ?Rp<!D?{n^kknQ3xEymU!8",Reh,c 2Ŕs"R:1){0F<&ﬦP1!?tI!2˲ DcutCO3($ad]nV !A1XRS A@j +ʊ0BPLeD^n]7_g)sLDMc@F)Bɺ]3PR+%A(BX./vFkl^E纩6hƅq|( c`c"H}xL|FvQzGCb(>h坓 w*:}[oJb(qN(ֻD!t'9!"4Lf9 mU 9"g C1 2^7uQF Y2RXmSRtzUR0ǡ+ 0Ue4u)2-RS\bT06eA1dqJ?v{}}t})vC;<iè"Ŕ0EQdDpZ)#Bhʇ轇&u^JޙL!U,jg]ɢYǻqB9hzqCei>[V,?y.8iZRw/_G?Ϥ,c?bH*sT@kR~w]ǹ\{cj7S?e}U7WחDJ bqF3Ї!Ey^;i`!c4!8y*ʂ3[ Pj dT]7ĘU%iGku]y_VuQ)nq> .?RF([Vs314MF+fHFM'?f:bycoZ &q۶a`]0Le!*!R\6%XqBA E R!áέ6[*)#Uh[(PB%jb\y:9 )+ư51,) AxR$UuusQ$#u Ykc<8D l1RЇjcSƨ|^W\"B4x˗/YYCw(r/VV8ݪFIF*$gc̴,>D R !eRRJyq/ Z=},K 'b˺pkkc>ca/"EAN ?z Vo A/J4 EcR]2Q4ڪ,%˲iFɇwuS189We 0SL Ǿ(qXx)xp0% @D0L8(J)Jhy7˴LR1CJ)akCz!DB y}B6 ng*1F.]Ci>4MGG_ΗEgroW#gwQ{cC~`ۅ(%0Si41/?qu}Ϲ.AkA(yBpYe) L˲e !]ٌGv;c ALQJUUEic1潷K_02׶mYV~1:0F;0n1V8U]jk-e0G. ޾=MSy˜ }_7m`g)E AJpF A%E5zE*#8ĸ4'Hu<ce! {8, dbURE M+%_˦K)8gQJQzY5mUMZ5?쫨9G8nYw7W0*/wFOSzjUUR^^'|r(UY\_]Z#fIAa mVbnSWwbgUyCJ˲U}}}iYc/vg/_yxtsA,G  )޼XWbNukтL |FhֵYyWWܗpu}!q9ø!~fbQ߾zM(AH3C,rUӬqMS# 9jWBF`JZ30, 1JU!8믟,.1Jr^fHU^(89N$! bJ|Er.Jy`y1>`y˜)q6XH nTHrA έӅ4!L $k-XJᬯjmUQT<ͺJΙrF),LPt[wǷVˋ֪ Z$S Χ3b>>m=}bgZ)al 6OQU㦩j^|v)0RJ0"Xn_֔2fV 8C1FsA!#)(rX1"ǔyR:RBw:!˦i?8=cL<;Z s&[{U>,Ri!]=~e7xxxիW SB?cCY6ˢ|HeU:!A,@Fg9H1$N6+n%8cSLq`2WE1B $姧crBJ0_-뺾^ }?S۶F-qRQ %n{Q7MJBHqQϟ_]]8R!yk BijF Dss U%x}}A0Z5 mAR݆ܖbWE h1mUB8Y%%h5 F䂫yM쌍Vgs  0Lj8ŘgOW۵wZr0n& G8R:B1ج|JԜռL޻%OtFYئ]ɢr6Ǐ6u1vE9g ~_rqqA0O0/;sTUYռzxXΧe.!g?)UYRJtlW-Ƙ2jBH)g9y>M? kݬ)fu`: C a^oq4GՃs.c9qJ)ev&L|^lLZUC&=>ȇ/__I)ݫZڴ^߿}}ɓW^!L9MSVEoy؝ZmEkrAs1PBĹz!ZkZkc a*Shݻbn8!qcni!!$'8b rᄌ1LӔCw|1F۲* ݓ^~ӪƮ(k9DU I.>|x}}K1) RC^0g1;Q3t6EÈ>4jYE2'%6`VKVeU6+)h)`!cviz!XJsR% )'w! ضL)`Ę]m+D(Z{b|xxVUr2 4\_9gWJݴA~ww'SR, B dD9lG4M!*on!mr.ZR>R nMp&% )xg֫UerN_]^4Mm֤eJdUӼlL=EQ !a <>1SYU!Vv0Y<0UU}BSJXlj=BYr!!fvi`[|4͙`'PR'OMf^׿ϞqBH.bsUU}7![נ ;44yyw1{=`߇ah9û苐z>cxxŹ?KY 0]i@9c9pu}xR:h4/J)s׷JŢlYb8O pY-{v L htt:Mӄ1>jQw ib)myY\Ȯכ (+ #EBȧ ؟~Fk=vM)]8ߗ VȢ(yY6͢&D[k#1%ZJ:%97cQ}RFR\\\dS VJ!11Į뜵pcuCΦsέ1{U9}H"ν#]N@4Ͳ,m*mբ1ojy{}/]]iR FeV8\fBP[ Z&ƈQ CA< i0 B)򢪊'OJIחJz`Պ_Sd4mR/sLʘ"O!d]^\]fyzVyo/޾}#Q lZۢlf~(fZoRPUգǏ-^rw]fE2JUTe! ?8xuƭ+og0eQ㩨PJHjgzGEܴ}L{R3_aw>u4/,IscU·qVmuR}?~/4N}qs!TH()ԢmYUU~'7_Mlo~ ax<)i( vbN'q6cr+i% BZ|EQ!dv@9߳\tZ|;O<9Oi2cY|/Xڬ&s5ض_BV=NYWv1L)m;LklbJLp2"4Zwqqʢ4F3ƪ2J!0b 14M Ϙ8@[y@C R- F3VE] B%2dQ^^^oElZ%Zg)UU+c11VSX nմYpozn9 GUlq [ٮEB B,(t$yQie/ w>P1el^ovfcvw_|x8+Θ{WP cyVE L\qZo~܏r׷!ٙix۽x*!a^/l,#.A#廈1?MV͹)C|eUUj5(n?7SbϴUDJ?Ό8 q(!HQ`˲4fBCn'eɥp!B !07qBY.ZCL!D cUU^oPJwwwZnw>./6M!޼y<N Z8?!1a8Qp8 QSɲDLeγ~#E4Ç{^H?l; q!BTլ)KX/di\ ª]OGV1ngNeY]={4xg?ۿO_(J,K]UQ!n{x[g;}_%hyQyQ98:kaOO %@g,t> !jRZj\:|<߼ys<a, _aZ..vP,^۶]%o.PӴy&XyKLzQHkm4M!AV6T51Rz, a!&)WH9vRJ D)cH)Cd˿LJO<.Bp @kD8xsF+u q60Nww4!D<2s @u!%J,+,"TU8jc(3%1֝ yo.RV-X n(G},^6RTqR MZwc`w 4 N F3Lvsa뺮&Fwuu]7cDB\eфm1|Gu۴+Be<&(DQfZs"%eB)9{x#,v~D0qs 1ubP e )iNJrٌН1̔k H)L(Bj}lB}n1"Llkەs|8R/UJR:M4MMdNfYRPsڢ,ynW{Y!yYQH8]\(=y Yo42/"1ƙWʀRuia$aZ!0@ZUU Y?O~ĈmncQJ30,JaԌipyy_J)UeQ>/~˼XP^3atuS|b-H2RO?/念:( 'mS)X5cW!&YCQ՜s.aB>*iF8gM*m ä~̋d@FJ6u ReYigY#@eYEv|  HIp@z1ƈp.t>P*"na7oe?RJ rݮ @c )zr1Ɵ<ի )OC]WY}qy4/^~z:De]5 htXS* $BVK1(CL)_v1p^BU΋}ĸ/B|8ˢ_}YV>?PUEe!n Յ\Լn䔒fu:7nRYJ_,~/˫K<@Y3ƌsZYJYӴ{q2@1gB,rTu]bB Lcv)羗L+< !Ƙ31eysj à>ݝN’xs$!Qh-Oq41&8mwy_z }QyS ,m/ J0<0?~rQ0 aiއ_t8 EJB)_H,,jT`9Ĵ,}n !L!)&E;Ņȹ !k=DH+9;35Χ0~ݫR2/aj$cC5x~fz ˿˧Oy!ufYJpYTL_\$DOЏ|_w[ƹx?}|{99!MUǿKR(~j5}W}a~76o˗/M[q˪KBZkk\J(+TJ!\l6ww{q!d@J2-c 6sQ1ƪ9yQH^B?lNМЧO^__[k/_E1nB=<<8礔19cb9F0drC PO}YJĿߤ&2߉ |.R9P!`ZUQHwn^1,+J&nw:Nqy;^o{J4p1^f8ehvMfɃqZ>}Vu&pnn6z].Mp:xi~_ϧinWe!e~ծO+@SW)Byv]@RĘ2S v>k 4[(H m4kD*k!L RHRB5/Ϟ>ެג~)) YhYnw>C_o2rRmdcTjQ&p5m#1V*@RJڶ]ReZeO֞C4EYXgswRhmY<7uB 1 À)206E8 Se1xoCca .JcLEaB ژva޾`Za$a^~n)#?Ͽw۷jOH!UPo{fyz]/ːO -J z﻾/2sL:F! !2Ƅ,9XM)cBY٢}epuuFqt>d!s__0ƺ3#l^JFkXV)%Eӷ~; 4-eYe|^#f]X-˒'ky9 j˅Rz>&2 ^Te2,ZF1(S B,ڇ|cZsshgkB:BSHA|6z0ƘP2F@ټJ! B"H8L(mQk=/sN)5'zq^en A?$y=J u)vMߝs`~˼@OӲB0cLfKY!,p<8BzbǻK)AÄy'"q]"b)YkH޻.`ϝ}}ZvWz^rR\tzs:y+JjRj1Bn1&p滻;!s&JWUɓ7opʌY!?wAJ%p[) LKpnq|$KY4mkoZo֧gmEYM3Ӣʺٸ1CŋE!5 /o77WRpH3Ffz|{o?? nLEQ}]mZBR:MCӴJ)mL۶Q)1nVk::4N{heC6)tp#s"ӹ[(_ϟ!}1W8m2<, c|Yz-̖TCeisad6C@Bc~PۅYQafS=TUs |OlVJjQ>E !Fk 4z{ qTUjc!)HÇ`P]n<c#ʢmb|ljPJZ۶] !D1&2TUm41 a,B{w۴vY={p؇bJRvz1BCI] lSSUwo_~ɇR~ǏwJ z@z٬ZӢ]x: %c߶H0-Iz{#4.M3͋! aRZ(lR-컎  nonBѻ)+)8)COj;vo7Mi^ӳ޽}烻y`L)xw'LU}uyQW8 ~/ U\8tfݝymՍiRNz#+woo<}o߼I/D"DrLYqT@L1&,s!뛫i쎇-FV2 |rs&Ob5eOn@u%߽y}J?:ko*oV/nHNkE)[!hn6k8Q..XU6&~&1R99EBw|j8mYՔf?$UCf@s6SieLb|ss9?N R O^|;!=SSJ2#qPr`a2)WJ1~qvΑtBHYVi!y,K޿ݻw?4y32(E!ßi)!t_~YEc͉<0<{.rtg? (֚RB)VNbA0!IJ!eC>cCl]iZ<^Schmyl<*ew10%5ZJS\4#0 CY;umƤrN+DfB!l6wI9vc0ɩBpɓuϧ $ei_|!BpwO+@syww4x]^^imꪬZr> n7EUo߼1JcqӉR?՗AZ!nb >xxQl3Up4^f 0 !Wͷ}[)obkA'V-un HrM!^喯1Rbք_~գG!ϭu>bۮ,sѲ(! .J)C9湮q% !x!yQ` !BJťLWWz Ny>|AI2*թ PiP@ݜ9($T*SLAF0|lwŌd!bzxxFA_|rVJ5m;Ͽ曲,7 bY,04e`7{=!D^0 0!=^Jy||l(}a>z]Qk fĀ?p8TJ! 0"#ט";w8sm1Dc|L)ɯdQX0ER*0ȗRbJ@]g0MyjeQ]]]mxTJp(8B1Kk]7M]U^:6Yz=.%FZñ1{( ?>>fM&L1L>X4HIJ(x {0"E1Ԫkӹ裏6|>E4u)8::L[x4EqΙE'q%j*84Y.`Q&EnY\p]\4!?1A:kSJ6][)m7Z -ۮ9n֮mWUyr|O߿;8C ߿y[7m"K AUQqD`dYV{ qVyq½RkQԅmǢ^䯗 ϶fx7S |Ǣd\gDZܾ}s֌RJˬ8{?ߏk꺮?䳺mprɲBu~hڶBie֠(+ fuvvc2rr|lZYeɻ`TW?|4hkW7ˮG=-8t:6U1V˛dԵXs( Fa\ϩa)8JıFGce1Jvm[Y:V7hz^&#"j94u>a/X..)Mo^Oǡ%l7-FAFapyq>( )@*PC˜BUדR7Ml,˖JqΛqq<)S !\m6@Rt-WZ(UeUW5A@ "GS!i,!?oDonn0<ov+RJexqu}tt0VR4ksVUq< CDZz޽{`6h2<׶~/v0 0<9>|m8@sEEA/ ױi~B-ff{%J6ƑXdH͍Eؑ9Geb>mxԋ#ʬ뚦|g4ڶ}vvf:`BBQh>dy$zG0 ð!T8x" nW%a,F0t3{={r0Â^<5YQ6MW7MŶ .86{s- )%`\{3`駟B  glzm0 $^]]V<ϟ>}*Ҵ, BnfR%J)ۦR3Ds2!lҶm0S8#FB*T@, Y\t]Gյq=)Bu\tS˫.='kYu]7u˳} Znd+gyn;qr{8M뛅8MӘKWa1"(I(Ի]rsL۷EQ$ijh``2GeYXϟZqRNSBh:"4ЦJx ieu0Cc61&wxU@ZLjM&B NڲYu]k4F;Z(BkƲ,/[!Rr)HʎR*q(eMEYvM$syY k'dSdC][_zG77jl6;rѶz,k*^/@0dE)I(A"|mȳᰯMzN9Cۢ eL᭣JnN] ޕe2(i-ʊ⣏>J vx6u=Rt:}οom<ʪQADO^_* v=/0 2PjXnc+s(c﹔au{{3y >wKiA ,٬fu]"8^/GGGYz}`*dzMv+);b 5ԪZѠ$n7O?25uYW/qLy&c^:6`o.K;l,q0'Ļ,+q]yؖRBf(0^|A(FIy2MQmV7Eۦ Jo%lj[qz8VxqoWh!Bזe],FBH )ƌ9ٖ$1 j"0jAd燾uSA(%WWc' H(Jv[0\!5Bs!. ,MʸP9X UTuEY&ᣢ(z~$I׊ hAu]EQ-+L_AeJm|߯ڀe(zxxu]7& 1uV]UAdyfu @f$Zt^e R&2mZUUC(˲b?g&c˼>°,(Ky}mWŏϟ;5(198 !4Z;my;m6kcl1xe[UUAs˲˲40!yƲ,(PRǶ PZtJ4kiE)nnߥ(-.>}v^SƶO^/>u{c||tK8['F0KS!&1 Btxn/ {9ʱson)Zub(^~'Oѭ֣(2#0>)ˋxcփvK)/$1dwf :E& mfUs'O!hx)a~ )DL"bˎst],iڮi75%*JhR ޹,;sB !zqoVTU3A hB;ZCLl6Xi97b,߽{WUeYz:"۲(- D;" \[’s3i8?y/__-ݽ1fAA?FB¶W_߶M6{y4]vQok*1 zf /^UE mjb>. yAmӝdi\.{{?>>߾}w}p}(trz~6U 8=;iʺVBDAzz^O&ӷ޽x\s޽Vʱ?ztqqYzo_Szy@)!Ъ*sF|Faf. 8BAo[ϱ:}.Mvyj% ""+yU5=W+7v]qwnWKmۼmygbo鯕W7,t2Kl0)&qg?xݪ0 !ZC?PJ))ǩz2iUEQ(5M}?+r?Fڥ8fB꺵,[J%N]\R0&YEfIٖWT: YVJPeUeY1ѓ>B1 0ly'u4'!it7oޘi$˪dEONN@x𡩍0`n!m !ڮ3`w^]_ |&Rznnnڶm[uS&d0ƥƟ~# D?X& {n5s".u\๮eYߺClE\8Sm۔h$_LReJu]Bj'*˥eeiveYB)cee !V "D z! cvd muRb丞T zUY5sڎ.,jś7o֫ 缬4M>CzPeQj*Q (ˆS=뺪(.//=K(覽4D<)R`0APeYRʦ&˲}'O= Cs2S؆1fVBW?3x!!RRkM5T<)Դ NBtjS6֠(\nItJj6EZw ˪" c̶aaB ByQ!L!v]WfT8q hFI9wpoދラŐt }w8?8;;L&I@em|0{=LyC۵pZ?==>>1 o90~v4Yʼ:lp  8, qN0 >N*Y7-|MTv}(91,rqKIJhUU1ˊ8f݋jGR: J!u]MeQugYGxXx25{BͲjǶ-ˊ{FP`w-U]kcے\@m{ߺuRfEY/N|y8?ڛπㄡGQEY2u`H G漻soʪ2o5XGGوH vfsqu!0Nk׶߿DZ뺄1b888H\)Ũi(MAPuӴbL!B(QQU%iN,;hԶRpDeUecHs80;r BMەU z0eY%!v]BEǎSgM0 ODJiێ8&;4a'H)m۵mg^F7&Ҫ?ZoB]י Bh>McJhT׵Mjj`*pC- !lt~," M!L) 7HUc1ʹĈM>HJٵm0"7gWeQו~va8m777eYn۫+0ư+՗_}F7ot:}xtصM]W@C nn{??g{msp8:Inn6Mz~mZu,)/W;0ZeVuttTұBjޛyZڦۃ9"@=!y/^S^]׋,+2& <BH1XJ}v~\7~GَcٕRWWWhۼ1Y^eQc7˕1!0?!BmÅp.a!VI d;v۶YQ@궁>_˥Bkضm7mUUfW`Y cF1!a$RZ 7n˲Z%IZ1#1G}L)m^L!7`-2QA3qj֚Q& 2Ǝ_ze{ ǑRj!h +IngRk4 ]?33aBl۶ZZ :SQ[ |w]C0r]h$ eMc{aiֶ-ﺶmmƴYbe#" q]#٧f?;RX,0200PJ90Er #eߋ{xuue1Њ quQ_ܺ}g0e5ʲ\_k%/_'cmَB-abD \ʶI߳l󽽽^x4J+JclYgUu4p7¶mڦ],qqgo6g~ sҲMrz~IEMc{AG#WWWWM,Wqm˞NΛr7q1Fﾝ&y+4b,㺬n˪(RzZI uޝzm[k7S_};λma)w5"wtwX~u!tdQ[,W^F0BŊ"6ϲjz^<˗QZ!R(.w]FcUJiyfr(j n0\86;@IRkJJ1¶B(Dج UU{_UuӉKjYI"B Ⴧ`̲,WǏWuMݴm; I5MkB:M[YEap[2Cf>L!dY8B`jC,zeMSIb/]5N}um6)yU`=WSB4A>B@QJǶM\KiM(ݥŜf` HVER̄(R$]KӜQ29BJө7F5x }^[]8MӺi]׵ÄSQ4( AC߁RB (6 cl4GCfa-Z\_SBo^0ڮޮ̢\Q8pl2;˺<7Mv||wVU9zfs붔}7 Cl۶m Ȳ['s"`\V{??{wo0&Z+ql`rXM)%5MC-D:BH-qxTWx<),M[\]i(̲t<7]{Ij, A/SJڌmڶ6=J ()e~n6UYvsʲ$β{GT5]۶W7_=?߾ubY8f7؎Yo7[cZ.(* $VU=LHd 責 TFQf[vuZ!cN^0ǕB!BP)F7#}ܬ1a)DXk]5ܴ()ڶ ii];??Zkm>x04Ѕ 8`<۶0:<<\.UUqoݺe8 Y^߹uTF}wO=|trtKtjؗ*DՔo_Ai=|ilͿ7ff˫ʥG(=ױ-&8Y4Mӧk]ǹa3tABx/ȱ]%58 cŬȅR\B8Bʛ+scRbB˪A4˜t-KJBb}5,K#ϿT+ !RBj@P7k-m|:% u]mx@)!Rj fTV xj۶[u:==^,4\d34M04T VZnOm[0FU!euG'әUUEɓz-ֳbh1%xZ6eն"Mv;_zm3{ЏO߿Kvˋ,~Oɧ l A 86u{]\@EaEL$漳m;0 5A~ٳ{.M./8Ș"pK-ʪmjn<Dz߽{>f,ww-fyk8RX "EQQfQy0 ~E3|׽~9±m[FiM]q.$m]vġg(˿˫kv&e&~?wu]NucI(@Zm̱~d e0iEQmwl23dB6Yf3ӯ8i Z/~s5!BZ:gv  FUr\mfVUvJ!fJ \ݽZF) !,UEw1Mc6x8viZLI۵'<F/:P3)!^ێ+( 6ŕ] jr>8v{~Emx^U7aWUm[AVkƬdbۖ)Mʶxr pZ?z,KڶmR&ѣhtr9go=z%;m;޽kڮii]Q$R@[!`0|i7u}h8tWf@,kJhZכMԋ!:"ϴ¶m0]dIUEeil2QD0ʳ\kelxt^'fmyv]`ޣpx{ø'*UY7o ˛$IVAֶe;}}yy֭W/Džn=AS#4l7}u12k/1Ż]y^9B eN] (MM%ˆXڬ[.꺙vx.&R9an " iy*02˲5,o$u4Kf9HJIL*ɓlRƽ^^an.)96php*cB:AOӲ*5ĸgMn|~!NJimfYF1)iq9p&Ͽܼ6w˲8cUY0ƀ֘ʘ hPu/u4QMF㫫( Mcclٸ״ƘRjz s{>c|J4MONN޾}_v]qߟa>xRzzzf2u۶uj0eY<}E.(Ltm/e{N/ k[jױ47Dt2B WoEո(J+`M{]WWWAV+4uS>::{!HHBpŦɸu8??mۣ[~O'޿{w||< uݺA=z$=F("ެ\ǏpΧ`0X-o>}ZE3 /B899Z'DJi8(R)۶JVUmv'g(Y9fD; xp)ʪfI87]9^hu]'In( uܲ\/bm06nG=b}gͦ:}2_JkPUUUWlF5>\LE$w14M=3u]bƼnUUVjմMΜ!&hnoyJn{˕y6MfC@*/?kb)%P )PJQTw@J4yyz2Ks &dZH!fiF$s3|mk9)BzK]{ٳ9fQT 4˵yWu0,(,8Ob%(9_vv⦮z)$ϲ^?&EtR֪mj`8("'ϲl^8h0r!fYV?_@ o_ŚY-Mض(iڢٳg4Ɠp0Z.odASWGGGD)յbq#Z "IӬI4\ (0ܬ1.du\ȶ4s]_iEۮJF1NhuAݾw BS r=Y 5VZC` FU n*B0.K.9;; ҈AUU cq$y̺cL֫ hMz~UՌZJjs2Z0?(t!H(6e_Ƙj#d ֜MI׏sƘˤf2WESnhd~_ !5Ji3[_3YGB ,'NssuRJ1Jiy޶- !a?01!d|Gڐ%LI6hA8R۶}TUcloo/Ӊ1A ,J>bm^sl4smsTm[/Whܽ{W+y@*ѫW0ƫ8Ĺݻw>~< ^+$f,z}}mRWB0 .0 ϻN~-( s_.2BDZzK1}muf1M<ǭj^&{{op]ϲ,/JHHF\?<<ggg2`eu۶m4-(bq||LYn"ߥ$^yF5u٬toϵf8)Aks5Ђj6J~G/Um}_߿w ~?M^??zw]ueiAӴ8f<)O>ym?PR, xe6DscRkS8\Uudž\^`00ut] q]w@0uiJ)lvIrn(ͳ,Ͷ^ĥQnCh!C3JwYڶ0 IѴwm<,J{qL γԱmzOপڦZ,6͠?TJWe~ow?U$uw8}BgFo޾}֛ׯ~bq!mo6kJI4NTUuvvf(z}ս{ceijrJ+MӤY^U2+ۆ -J) .\%es.)!)}K LX'ed1& !VSU|?D;zc,/[=mەeFRzVu%sy3p?99i֜vi]1[L׿¸w|?trr0^/eѣx|\Apv~>LauIJӴ^gm{14BTi0&?WRdbmWMdE׻@(^׵!4 0WuGmbd4Bʽcŗ_,ǣìÃiwlDZ߿Z~׶t6޾yc޲m;ńғuocz!&2\ajԌ`۶m===}^oE>m2O4Z_^^x<6UeQg c "dٖJwI1EjTMdEu8Z˶̚ !aLJ!*z ΅-7-dF)LKRw'-xI6.ư%Ll6Äk@ɸK) ߧC(ʲ0wr,Il6z(&I]7qqql<ib]AШQ 5&4˜R8ʹeQ&8L !?WTYQu9ڱ-hBIʘeR JHQeK)lˆ 1Fis !VU%1jmxe5uc;cl&UJ=Bp7AV`@)I{qqA).ho>`oo`:NǏ,~tj:{Tٳ'Oxh4l믿mY֋/>yGzΝ;Ilꌱ C . v///!Dw=XTB)ì['|6?=}ݼ*c7d2Y-mSHN o]-"$OL QVY2ƪzya!ٶŅe}ߋОu54%F7˅:eu]:n4\\_OӶݻSBHvJ ɥ~.c9?}eكa{{`/lI_}!TW!ad&Vo-6Fm>}jv]ׅaش|M(J, C)DxKE j~l6[XE.q]m;"LҔZf]MŅif۵fy0fZ=3< e[Y!BsC2[(8> PPE4Ϟ=c.KuǏmn6]\\0Ʈ>\)u}}mܡRJc3R#njaVUm0zg3oOu\_O)bmRR0yahms]bZɶmՇ,988(ʪАYqľ8Ixl@îyuOƘ8Bfɮ+iI"JiUmj9͵ReIEߗJ;1jpqyz}u^.:^,T:𼦩2kڳ+f1ܬ{??5uyzϟ=k xm XSl:Mv;/ ((6az=۶<ϯh4Z,e풭UUB󃫫+qvi0.!?n`0RM3LApܵ]D\$Vu?^Qމ^XWo-2<˓dǻay7R ׫(+UUdya [*ꢮs iZuuqytt^^]VE^AXUY^Ej{Q,㏅jE!,"G!f\ס_]]A˜ L_z3Ny+)Ul6!9)rmPBi>9 :<< /0JiLpY̱!y^aTUf6iu})jM 'uh[$;vcmo߾=ϗD8 .ya0_^]\ ,W@Oz#O|ۺ˥A';cۮşxcP1/˿Zaڦ3>nv4;clnsu]QO JО֬MseYGO.21!D6gyV!L*Bۮiǵ@U)̳B( Xi4븖 Rq@4MS7*__<PmoqڶCq1*DZ! BJ0 ݮZ)k[Cޔm)m|6]*8:!@0z]Ν;ш`da G}d8fmfGGGmK)&TI)o߾sqqv|6Eq__TjM?'nۖ`,`!Xzf .9-yvmɭ[gѨ`d[`u[,n..7[O:A%@ݽsR,H#ڶe6)`eI]WMWSJW7*ʲ`rl˴{,k\f(q%Y6 Cq~h1޾}{8TUYF߶_h7˛?l2z4Xrt뙒pl7sC^]/&ә]Vu$#u$Iu ̧TAj Ūm7L!vSVaۢ(v{g䤢(Vu}yu8mqblw]Z'OqnBشr2Su]Wb4}{K6f~onO>cdMBdT _7+)$1[mw-眇a,sJ!`|1:uul۶0fYDu]sRFi6EC!ZȺ*1F~,}ϗRh&b`WS͗ KJV:T׵]z(SRe8;20P5Բm.jFJEqX(J#Xץmױ$,<_mx4R]y]=\y.wϾF8?d캞`l;oju~~~}};wF&M2vck~v~nސϟ?O zhEQahr\Ȧᄰv `!]i!YUUivGk+[-Zo6(-s5]q\h!1)( owVUUWJ$ˌ(_\A4|,3㣣#CqVG$ nmflbtF2rϸY,m*es9̳s=TvZiy5u \>>Nvwߛ}\Q,Iߛ%Á.vÎonBkZ ^JA)?ӳs0ThcJ&X,Lڶm!>ɓׯ_zj2l6sw1,Fރ{c4) mwB]qA)cRJo[u$UQbB?PRٖBBXq p0e a x2xC/gIZEeQ^H0a"NMc;7evYucz..7۝eYUUe x!J 5m;/.?x&PJKCHXw#bD EPUv~?&2rviVWuo,G* Pi3&~fpqLY6PHI-kOM\~o?i*N, ^N(V1JX{{{sow]7͊j0%B#(2Yee^msO)eevIk( q,ZsnG¸] b̌Rv8"s]oYl6;0F((VJ߶`6*!ĔAȅB6dr!b2RF~G=RZ[C Y6풇=DjaU5G'Apsx{jQ___c5'ONO.jKƞ:9կ~-,{iRLVY0 TmTy60 D\ .xvaN*˲7ܦiWG_˲כ RJyvv!t]wݚAqy_|e1Zv%.\^]^ l=0!뻮ԕmَPJ fr6yu|0. ˶cgV&гg>|ỷo/i-7AL&!]]__?˺L&͆w}qluf뙥au^W-b\f7-Wbj) RٶH(@24B$Q@'Y Fq!BI۶e- B'su_Io999>>6ۦiF_~i-i'A4II8o9H n-ˊ02L~~>M|>?Uz]6+\k`.Jj,Moݺ_PONNDYGCSSռm;IȬ ϿR)%b)!Ɩf`&<.B)mylQms almۊ{G)l6cT׵DfC hq!i; Ï?1cu8?,O?GV2;or,+%:ư!CDz8o 99 pꫯ 9$/n{t|txt"ho6w]7%®k' A}yqqzn>aڶR:]_]Y54%|*\3b>!t}Ȳ#*n߾y^UՓT> lr]vbVi0&l.SJ( (*!e^U!q)eu]eRBв,V[7~R5RaJvo_/$I9iA[w!D!R BTuqλVl6fWիWR۶a^$~-!ٳgeY.no߾5O;w1w޽u߿؏}yyiR(B|_zWU&Y)۶6=>vڬ9݄~0cy͍h]wLD$JZ.~a~x&,hȔRSX?b8N4?&BGQ]u]gX6Z)p]W%cQZqi@3!V!в,]!&M15&{uMlA\\\dgƹozL@'˲<Ϟ?4(1u,sϱA[cDz)F.CR0f1FR!ײ 7ezmPJ |7I,o4Mׯ_@۶sxrulkDgmMytt@k`\wonv>{~;v^zGRo~;wA1,JYS5#vWN?u ,oFRj$(BrUz1 kY04(ba|rrn߾ 9|覩mf5MC0n!\̦0!a Qv][Uq#1mӘOm///'b K<ό0e];Ltb|5!G5Ir[~֮EHYZ >}=Kfچqy䰧5{.T%Sg׾}yL=2b?8<8 v{/~_o7C޶ϟ=s=g^oVm"V*$/GbNjEQ^X|Ԓ2Zv4 8B(#J,A˻ݣǏm\כu0P)zAYVZ`Z7mN{YeUB>}e9!y6q_\\z<˗f!q(ɋi׿e`+s(/4vđ{` |ܿs֕|0`8y^6M;-?uVpf,^~v Nz?ZoևRM/Wk .bm㸯_fIE]7@l(麮ȳ8 NFQh5JEX{A^I>@@1E۴iuWBȪjD,c.ϣ8XVOD]7]=xA.SŃz~0mǘc%N…,#`YϏwݣGF|>?~8 6Mv~CUUe=B!d8$1(0I<y!1BaZe Ð<ϳ,NB UU[ل]Dq_w]'lxڶ`f<Ҷ.mgVn{uRY9/(pY1f۶Oi ڶj<;?|,ryzvo\vkmx<]&(rEgY8EE<ZDljolf?6γ~,z}޽n,&ז 9}/fcY;^Z붱 qS7YZfIm!㪩0EYOh~9眹RJtaVnZbt)EQ ioccrεT.ߟgkufL0Z^SUl6gu]3J1B0ϲll>;<< 4I^仌98=o %ey'0wz99>Zi-Jʮsl><8}\icryyu-p\_&I"UgJuUoQ)uտ<~꺪y `\^^VMg ѕeXҤi. zRJ0uYIBݝn P[P7bNWB?"ϟC!Dwj(4Ҫ;!~!x~y+Vx4F`${m:.J2JVMIR%qjb{{TcNvy^0!iP EF,_Ñ Bɲx,Bac"1+z㺮:1*I0n` ȋ*f1my׶ <&{4Vb1^^:!5p\/I{Em[7퓧ϕֶRZ[p m^VeyLj)E_\/}1ÇNTMJT2!d׉xupp8-+p]5eY((q,r<==T]v|H)-`#m"ƣÇ7[%#Bh4"*ӏK)8RڦLcjF7uӶ-cs맱?žYVfpZh4TuØ}+92BWd+ }",R"1ƋŢ:u,k^VUl6"m_6땔PJv-`(!aa0F;If(c},l6[~' $/կ~%w]^^qmf}BLS󪪺FY1tBN{4Mhw*)F$|p8:.nuC0A\T'7V"4Of۷o]׵G,eӧv< ݶ{w|xu>PRdyFuQUufyﯖt7ɓ'Q9Y3Qt~~asꄸwї_~3K|R3͛x"-auUa+Ji]'l9J򢰦m[N˲< CZjMõK kC)e'vm&jjnviǘ9G cUU^]][T!a8;!,K!D0gϞ1ƞ>}`K$Inojoo/->BKU1ƮtE踖i.[&ŋZJ^y[О ɲ1ln0&N)4MVMXLn e?sۀY1mD1H4u{JDn갺m<߇R0Bru,7<}lʤT]'0J@ p6Rj?-e3KzJE: v_׵] #!"JI %uXs(\FJ 1)EVdQN&ê.F~y2Fcd'\ǵgM])) DmwHH{ڶy>\+/ݻw_|KI'K^7Ȋ 8ˋAu]x ]_v[ Nbu˥%UZM$޶<ˋ^7ooo8Nz+Z;뺓rX #)^oNj[KFlm6 xa9@#TJ |GR,(#0@5X9hFIܴjqm0F~_BJ Hin4RGSٽI#2deqh 1_̅s¦ F]F(u\`ꦩ2aZceUCBH86zPZJ[uReU*-j1ɤ<"`R1?uFQd=z{e0\]]y'B$IEJ{tt_o6?8s-\Jytt;xftu]vTUl6EP]5bvxYz vSR(;}BQhOvsal/>`R6hwN0BZc!uZ^!ֺ*+{X٘m !:N&{b1AX!8L>[`08999ȲvA0 ;:<|M{n{Lv|2 x9٬>!}tX/,`0~o ^oZEQd mR*8}[ڼ`vxq?l -b6@cR е7AʨB`e&B,{ RIa2긎hauvs{ UEr][bY,fq |ё7ARF{Cm]X(!D/lZ.Z7/Vk@4u㝠M&|6M{(a%Y 0՚16_,$q\( +ƚo??JoZ?x!GYCB!Z-Id+`V>9 iW.:VU!0 _H)10Jm; !(D֌іs;`l|@)Bkm~֢ԵMei[`mK)u<ڭ.:cuO>d0!&y'~)s\!Ϟ=;>:J2B)h2Ƕ^ vu=4r^?2LFJ骬=߭ʺij pRzww$ ]yU9R-N$SZu\.Ӥf+]m&Jje0e,Bh8f6^a4q8_NNNDZ`0OUU-RO&{P_u@J9N1"n mYyv;<<ڂ0Ʈq\%@+sV޾}:Lm漍b8ɛ7=ǛgJCNeYLozcet&]\׫͏^y~\ʪE1uSQĩ1u=b ObJh4޿wZ`0(&IG_nh&1GH1ѣǼn~vEa4ﾵPZi\.ˏcmz=۶m'GvGaUJ8N\}~vvOt暷"(ͫW={.D7j<*mv?RJ#oo xy;)BHu}}>Banv#R1 Jml9(.|B6T ;ʜϟhGQX- By^HӉ*4}haDHF#{WW Ɯ0:llcUUQL ZA _J ك঩l9YӴ$)a$x>p<ͷ_OSXqo޼m1|m۳{TNJ9B?t:<2!}2CRZ8yZEq\UU'1{EzM^<!y1cnD!D`( @1;q8Y,-y*-SJAHD)m[}s b >Їv-ad2qb*''6 ǶT9ab],+n۫ qrm6|_V96"!TAgm[ѣG6*u?_}뺃@aj[^yg3rPP-ym(_xqqqyu]_|-aB@hM))9 )(c1TH)P6FHB &D(I A5m~(JvG1 ެ1!ymݪJXmDaqGQUWT-M Gc.˕.s~_|( aAv 1Zo&A)h@ m6nFi*:!]vbb h^u\\^^/ۏ?zUSaVJM{߼'cιww]q!BJUe~/٬Wn$}Aٳ'yp Rey~xxn< Io9^իpef c@Auc'A?˲01qI)WJb2eiͳm6TeY,f v4?aק?⮯8eciVuUc?x`aTյ:UUƓ,FyYL8UUAж1Z.N0BBi(UJ)cxWT8/K8v$I9 BXV5BB;:UU-R6 B pnīfʪj*cmm~UQ.//oJci;>>VZi6 Ca[]Fo~SfZJ蒮 z=Jzfm~h4R&IS/xfۻhFQԶU9khg~_hm)k7u(~8*Ѿ5? paD4 PSs0ƣ$v 躮Ҧc"PZPynYVAcd=:Zah42cȫzX)@4L At:' ,k* C(Btͻ{PJN\[sm`XDI*nTumo&r'qx\ެS񦩻{;˲"meq,l7υM#dG6j4QB_z=8)U!֗Wg(Z$IPR+޽{Z(l6i:h]JiZLYsXUuRQ| ( #1¤mݒs]qzMm;Bh$eY2JBRZt@i[!(ʢ(uDZ몦iO0,ڶE8M;Ŵfb(srrbp!REQ]WZ/>ZV;G0A&<뺶 J46)&~8O!/=Y,_.W67MӶUUg}" ] ZbVueEYvsPW5#0j<7@YQ9n':xaqG QWESR(FXtJ//ﺌq:)Wwv B Yo5eUQviQYoۦJɮ;9:jc4sA=#s"l'1z\dE._|1R6/&n޽oj޶vٶM ܬlNƾ+%n !dE'`8FV(NDyQu~]7њb훓c RvozTݻruwơVJk3ͼ074滛ۻޠ_55`4q]!dV0"W5G6FhaTy˫GrۜC0vv7I4&(^7w?nZ {v>:>朗uEDAT_W;O>4wJ ˺0בL{9嗗w=jqPtjyA0-*KBp?+5h: viû(N1R QF(6XJ$8<8Y.B*}#X}˔0uS3Bl]qas{$âr\T:wim;>>ˋ޽{Slu^db0Gq\ڄbfUUjm}ooom[E!iڶRn۶/~yY*-lwoVu]I)X+V)y}~sw[KAdGŜ|~6hC`OJ QF1\)!Ě0FC+~NJe'5ZkFi'@H{i"DBF! !㨩xt{{khλwg4eYZ*5Fh0%iPJ^n &IbJ| ) &#Bh82 IV2:R uuYDžmmW? 4pXiOssw7?f޼yhq'.yS7軻^?o>SJjE1j<'{R)%uX7繌0 ښޅu??1''eQ78::`p2C8I0,(JiFY^-+!e,S1oB|ˣ$nbT5BXh\a"1DQ~xo/^|$\.fi/ B|/~AןN[3麮K=e>uB0\o(c bqvn{nɴ֋-^ bEpRV2u\Ͳ&t19Y7Q4 Zk9Z(0`7Nyyji[ Y f6F`ԞS|'yyQD'߻n^f +Rɉ( DMUՖ\.mbUUc(0( ɲmt^o9Ƙ{٬Ҟu5NY=фlw9cb(cZ+ PFu]mpw)(Z=/ &d8Klv&)u(I6=zFI]7? <ϳ7,zX,_-s\uD_CY@+۶m煡61JBc]5-^zc:I{`LRm{yyn 6g1=88ȲLp]ˊ<#)$q1믿voo*++CKj1wb~xx0mi]}c1yÏ77W7yyEû( PeV,+DJ벬ҘBfl.lNtЪm2ay57MTZFq9qRJ@t]9E!]ZBv6PzzF<*cjref,K)eu$iO)ZzכuQZl6BB'|駟~joo_Ji%tXC!?|(򪪎|>}󼛛O>͛76N*,2mǂ֜ocYcA "'"1ƻ]f#Jkի}m:)Bagġk*`d ^u]Ly[=ь1s|ߧ!°k4!RJ5#Ҋn;l/`pu}cGVqk]Ƙ ƀviE~o>{벴f-6[-EQ(`L#ARJk`H4M۶f<0L'kBh׉l /2XD`GQ&Jڔ0@v; 0PBl6[n륩ݪby;ájڦw zt?``k ;~E]]`²<6bAMr)!do0H~Eu8~"蚺u]q0( 7Wiz)`26_,V%84V84M't( AWzLf4!n-i8&Dm 8?R̗,-lwͪ, !].:v܏m/>Bt]u""m޽{Jrq}뺱O>iba'xl֟4Mgvn٪ f$d2guXpOӦinoo<ϳk)5fX8=FlԴ뷳iO-0S?.ˋ ?0qR>Q0B;aq;c RkG>BC00J|׫ʺ4cq}߯]Ɯ0 F1oErBwo߾ʼ~ւY+m BP18IRs VeI)buUR N0d APv:@ɎRy')u=Ѧȋr?y0^8O(޾}-N˛P0NTG.^ ZMl[aázoeyzm)̡B$=u]'MSax|zʲG1D`Ap|tr~uEauG1&4,/VUviX(}?bkۯ]]!J#\3uC<)-&Q]WM]֫4N Jz0:?믿|GQ/Ņ:WplhUU`p{{Ex<ɲ|9rM߽{||!r=6M{?;]~uM0ey!ƴ-O$˲(̋2nwH0Dw}w3?<>"R; @h D,VKMw??%I6lQv h-?b񇤟___U󥝣ESk l6OZBFq:ރ8/:l`y^c3& wefn22٢ieIe5~FqLPAfXˏ7`&Vl༳PێځBc鄐 lC[U]~y5a[=&xL em!8D;v㜯k:UUۑ"A@)ˊ*cL'D4RzI>|xr|26Rp$F~(yeE!TRn=ϿziJ fy>-Vp^[j>GQTnO<ÌYH,˂0TJy!ya3:nG=7AGqTem~IY#c֪(x\UYwGO͗)8ny7Lu]4em%k„<c^-B@J)#4vN$ M]"12qW}GiqxxANӳ|n=4͋sI4֬zwwW׵'''  nm(|ˋ2ϳi8i4PKT*EaӶu8(YVyaaD40RIމmvF#)J ,:#c.u<_y%:wwwQR8?X,uӼ|͛7j.,H)JtjUfAp(,KBۣ(oRz}}m'Pj?ڶ=??Yeo߾UUUUUal.!B=؟i͍-<DŽqX,r= Dr([L1l[m=Od'0D6=Rʪ(Rm@T 65cL():>>[vo):9m@(l604yr!s8JJaR*E qQPJ5 1Aܳ,˓^}Jt,#@`;#rJaDZֺ]㪬?~} M_: 8@Ɯ|o,777v"tyyy||lu~E LCURXɂͩ8[PJ%s!$ csF#d<u|XyX(ec`8N:;8y| Izy|vPj`L:%ʺZE\Pm'$MR2!$b(4m[:몪?i:NE^m2-M7 F*+p$IY&&: ZxX,6M]O.-E1xrm8}cmQ!iZ;Bm:;;M%@<ڹ{$ tZM׳`dO[xY>c2߆Ub"\ǵ+=}i2h;m-g֫Q:Zk`Z1ݻwBHYB]]WuYm6Nu"Mr^mkM6.~Q>a7עM]J)<󌷍Vsъbyġ]Ryh#:nvke]`zTkŻiiQ`dVYx8綫ʺiZ[Bfaerfm'IpcXT&%:M⯿j:@|+;Hq#vvO)? د:9v@ڟ2Z9E? |h0@4M=oBۺo0y>fC(G[M&u<+>s>x GU54e8y*G~ Ǯ u7Z#`mGUUU?1y׻v"+7+aڸq]' bRʸ+Z7|Ѷd2cBV*|s]/ms}}$nFc p<1gy\7,++tV^oM0ƤM3[RJ(Z+hbϔ2F0%%H7o;;="!I|o)GQ!$2^ף7}ga:M*ѽ^:\Z $I517I<+Ku4+E8'*B+ Bim (cBdt{wǥ*2+(Jq#k`&\2LIUUAH)RJ%1(J)%Di{V : eQ*_O޻w~o2ƬRq7oތc{Ss΅x_=99Fvh1FJ˲<99z4aq۶Fbx=lY˶bۣa(#),KtZޫW,qBxvvF)]RʳK[ك2P㺔./NL빌2˵i;eTa1FKIb: qJϭ1v|rE^Ewm7$I=zaY6 /A\.|>bḞjhe_B0.//V"ϲFtmʎ3JVA෼S$q1BqHm6I]sߦOa^ <4&vk ʦd^A n:ݯc˲0nFI(IUQ5MK&Vj2;m7߄a]^^>}򸪪|fu\o4E9}sttZҎ֛(0Ji]Wà16uc=ׁEajeSWʪFMumGMyv*%Q[U$I7͗_}_(^eiڣ5Myd:6L nG/>i(75UMȋ|0%idiZ|6m 7wq]Xګbܶ-]ӶA!Dm!D fXDaq1sBi]7!.,GEqbZCʲ8匱wEQn4tgBMuqi-E,~υ(^onޟ ^zn;hNth !CGl6zvg?0N-7 !ԆQzVJiݻw@pۍǣm}?sZnG@YYzA`0޽rf U'k>[maNB]s| DR"F)%R 8̲zPRmuSzNTJ9-ne^ !,Ns~}sc]f6"Ix84l69)\,F+lsQ*40JxAx*mQ A~QggvҲ`Ю cna]הR 9ku=#3e۷Bqd|dm9/,u>xX;looo1AaiY5EY֭]@cY pbiP,X6 B7 U7$IDQYdZ-:b2y`!d1ƖsephWm1UzcnK K۪m`M1Rtz~qqvvf(I<@h4hN)1B[ sN(Uݤi/ϋ0=!do16ܻwhڮz9Ucm,c8DSu)޽Lb[)ղRJG}dWO>}d2MZT1_^R:1\HBR !B)J0Baj쏆JYvybLjclR֦kL뺌Һ)8Sc?~|~~DmFhx}}{^Q-AwR(눮cveDa*uXSiGQ( h i?S6uuBJ SIӞ*M{|4GA[1FlwB΅R*֛Mf :>:qw ߿?wvٱ4ZF)e؟?=:#u0 mڀh|{7zGJiJr~',_VgHkv#L)mBRi2&BJh<Beu0|q1(eYbqt/muUʲOu4mݴmr8F^͛w9BHs!&IQAs)eQ\\_-gim$l7GG*!ʨjBmAUv=? 0dv1⦮5-emwF,˥}?cs1AAK)1!R"ƔJf$z^YVX, yQ^g%;rky ۴TёX}x<6 c4xoolm?'pU՛͖RfYmmUU^2I|h4B":]qlU]yEQ4eUz=aM&T$z^ml6lءzƟ B!z&/|C³-RIRk[Ƙd2i~F+{fB 6u82XUJic,{-Ftlŋei12 dh4ZׁftR%t*ۋf6uYbg(ob]׳k+ p I,u3M0M>x4M8,N6 m-q\鳪}Lݝzo޼F?X/繶{]_\B)MaX׵4J뺷oA`.ʲNJ˫0Dl8ijp-Âᤔ߷|0s낶bEa,jѾ۵֚P 1Cۉs\x `aLR”)v]ǂmOaSaTNICB{qbdW.=zq.ZJC=߷˛kB:^\ǣb2ljR铮u᠏FS Emq%: v\a0mFU~ u R]L.SJ̭JvM|]EQF4T0jܻ!{}E$&qLMS//_O/^8==~VX,:9t{{Fq)cQZ)ٽT۶–myQB6<ϋ U]A6u`RQbjj<$ `q] eATeMJG((r !lv2ӟlmxEG!du~V(eҴ`0\dYIp4 eT}~qA) Fmf3$)r6[PlQ _J Dar73@F eoۦmeɓ'׿( 0Ȧj%`YK4Y}>nC1ffkJm˲!=z0X{;kÁeum?b;;;[-ׄ`v;3lť  |,˻~~~N)_VVeN-0?xXI%:A0AٳFJI ]GǑRRj\cl GRvRJ*i69#1@J5p7KBH/Nv-c36zƈ byxxGqqkf9>>lB|w{{ttkqwwvpp0ͳ,}n-yBzvnh˴?oJx-~ )oy;m8QJ 6 LUJWMm5~RJM۶ )H3B6:o46u>2 EPelZi>&d6oݝTjK6\!"7ejZWϟ?ӟTW%߿Vclql"v\$q2 y{ij9Zv#Z Bw2" t]1@&/srhUѤNʴ7hZEq O>)D3r] c q'qPFKB cQZuQ(÷ALJ~xyye t PfR7]K A_ [Bq֑ˤߧ1e ~*A|U]Ql{2$5&jm=?UuXYU]>G2CLw?(߽{u â^ ,B(p=?/8Q( s??ƀ1BTq!m!Ē? !4u6VmL)˶;ÔUU#C14HZy!m튢Ɣa渫*⺮童8aX'zu]Yш2CVUjœ,S0<=>{Ia "$"AC(:C!B#J> 꺎PJ f#{|[M qܦn1#KhD(׽ WzγbD(=Bi !IDt|0|<{䱔z8Hs˺TjӶ:\ʺmB`f7m8BvrnWK )-m[BPvֹUEQ#)5c{6σ(9 )8c$2YK)x9l6EQk}l6a䟟3FUF]kya۶@1n #d2ʪ|YEq㫫g_v2* GIoy1JUn!D7 )Fzmڮj\<\!/.&a; Q, 8J0 K)^jfBX-ƈKڬ}_-Wv< $I9ֽW_aGaΣGVkujJt* BGֱdJ)KBh/rR*%yaR96*Ij׸{{{Rkt(tZeEvo_if h`sv\?O4=88X̗{=ƟRIaUA!ENm6(l \ca*)m=cc{40Vժ̋z i\#BH"lB(2u|ϓBH!MS5UM(bb.Bh:ʦiw L<[1Y'0& BndYDvR60ƂH+Xm_3ò6l6>|AB>|x{{gim6h4u;"n, n0YaL X.޽3FctO>'uZ,(>h]5@g0g IAۮ6i-%"G!Fj;yTm"<鏖jz|>GrqY׾iNG@}mTUibx9cDvQ\ ZAy!r]džXy*8o-bz=k,c^۟LYQWxuӸi&)RmFo%F DP.{^/)!9.1¨TQNJ jeUUy'6˴2uNVMSnA(3\LPS;ߜM!0jٹ%@X׵6\b-JB} BPpKMB `(q&j;Q:7u=$S~Q?#h[TU0Q׫Bebrγ,HX,뺦UUub\j0npUUf=6l)s>L1+ c oGGz|~vvO "{k4/ Ã^_~]U5[j-4M-XۍjZ.UUY-L&~!I۪(Z,֑^}ߟ?cmZHfcU@?~mmPR h`ֽ~<F;):빁xhm@Zs\u]0Fk%* :!q+!L8pP>(p^e)W_z=u+B]hz=jcc !$v]5UuF0BecBcc(QkЫJmӺuQV"J=fdZR8l(vm;L0!ZkƀbxXVDn`!jZViZ٩h41%J+JIgqc<2B\E饽<υz:ر(0bLHI3IPe!"m'ĝЭ9eUwBBBIsҺny.iɧǣrQQ o0Nk  %y?ûa&˥M o٬Cg$I"10HtY xATB <7PR;!ﻎl)uFQ$a^A, sm˕wx|ů~+v/~^z$ })%1F`Ҵ׶m4w3x*$͋0\׳Y^v]11fyj/ld$43lmi#|ǘثc~YY۶iZ.KZ9m] u]y.%hZH);)8&-/˲+I=``vYjʲM)S3{ &I(8R Npuuoǡ`KF u]R &[9p0Ru]mF7nscͦk!+n6 i[o7aٌFm^1J)F\9ӟ۶]w۷YYUUƒqNr(! `B1#M cc $STJRAUyot[Zø<{9'k6ϓ$IF{N982lhr?BDMB*KmUS7:P=US59ce2cfDbWuēcS;/>Xޭ0&iV헃62NeJ1,8U]_\\q 0`lIh6E]11&@'j躎`Z()nDk89w݀1ye{!$6cUC244(J&9|w]WpPRr>8~bY$O< a|i<g޺J*˲Y*T~:E~w8==.\u]*VUUUO<)b?OS\ !FZ몪Wyyx~駯ZY_|o~jŋu]gɤkaȟO?,IXV AHcbZ{uu%RJ!dPZ%-i/B&Y   kw`DӴJiJHEZ8RZk1Qa %JL8FeYƨ5O5 MyIOΤ˿kI)?d2&lk׿r\,&^l7LzNb#& `$Y $j!yqΌqcAS i %ι4˼~2`HeбiR%Bm,˓$GB)1"P: RYy4wwj=MJa眐R!YiGyl{)nV)9B$I6I/+&ԃ!ibQe` \yfC)̦ڔR}o_\\<}$_l?6WU4w/B@)]׵!d2i#' ,Ճa:,x1Ln<}x$C1ʴ"(#ڮi(;V*MS1f6ZkTRJp[kvhvM[1#)ޛ,I,-cLr]\\+C RQm"SZ4! R*C1??0jIFqNS缇 v4Ɓ6?9ˊ|6M&~=0fi>mr!el\fYH98<_.x<m?wBü~l֛Rx`JJB>+G޾k4N?C!O7(v:P]ס( ʯu0{ aBk% ރpe!)n{7C%m4MNO<6uVlj8{C)N\Mje9&8_,A@Ę~qTiKm=FzGL*'YK&.N|Ģy0JJ)8rGc,:o}yr46MSg:WxƌGG./#q>t]'!\'9OO>c < !v fB-C`tnڻHUՐ7xvv /|8Vp&~o> _ҙ8FPdѶM&hTGl>cpE2$Y_כ^.zӯ|+OVWM(qX.97 6ɧ~NgRW6Mf[kzwwX[7MwpL&EQP>c cׯ^z4ZXb`k\):#Rܪ¯z?XR*,´"ݏ~ VH4iՄg{G12]!x~rG|1.2d:Lk]_kciio|ŋ$!C߅>8cR?==}4xtC.4MS7M4BP<_.iH)4Ùt(< nGye!OV$6P^x$//0P~1[|gι[A1zE.4#ڶ50xcs·_,bg."%ƈ d49?;mwt^ǜI9l:z5R,K0AZ!$tCgYZnhA awƘ$MFq$@*I0!W|F JbN F0Nd2B{Eakd<=99٬7}B4D!,+v딵UNfCceh~Ƶh{ ogZ+u㛛$NwO>yYaFf=VY諸}W5~3ۦ$@D]o7Iyxp5MrNT) QW1mVtZ#Lڶ}N(/ `a/dY2IqCeYv{clv46d2%fYn j>ŋ~ի~ ,Qs?3|7_)Gzc8h圗e%#!d\c<m#˲te{ً/>䓰jַ|{^B4M^|˳4sVkUMH`0mBsaruy9L&}km!$Ihn4 Qqn0hB!ڬW_[iuX}O0!0Ix,?,ZHg$͊Ykq1t?c!j0L&pz!8M0 #R"HH*eBL'>RbXn%@Dy<wY9#_aHd:M1Vk$æ#"/v!X)E`2!AR Y C&Z}򥳺9 uj-d"Ҷm{Wue%g0a Q%ɈSf~X`LO8&I5ѨmSe۶e9*QU]UM}y ˲`=`Da)cB,r.1is뜔Cde{¯8!}DbaL8@ǗW{,R1VM$OիW??G_tZwpZI%0tgYQ2!KJqfj<kmu]fۅc1b^P6}PzSDQW ]r50[FeѨL4,yC*ڮ c1ij)t:>lֹFzu~ZM!n6\ջfQRV|ֶhT6MC0b灔0L&Q!F9ћoӺ::"???&ǃ6KSz3իBLa^ssx<&xd2&m qqzI%I"Ű泱5J Yg$Mm8g@"SL CMQ1gU]!„2yI_.=9kMUDql{u}͢,˷zɣֺPG/^d,L]WuUFqw]E(eey'޻p$Iruy'sh鬅fYn% CeYx蝳<vAzey1ڬ7agіRYJw 2p e:-(JҘa88J kx`DAǾ=ZWu40BAQ<@ǪH*ݶ-"t4ʱU?&x<O^4N(ƘQzDQ,.D!u}}1ݶ|4R&wwwFGpu0؇~_nۖ1 4S|_~nY\L_k++|1歷o$Ir8y着24GmdY!qԶo'`gYC$R(R)a e6a3:L,SL~|a,&Y/gƘy2!F@LH)C$B*kc4ch8LgZv0d2޿!8Jx8`<u!8 jL(malQF!,e9 /JuYd}^^\l6|sd4iCtTT">m9gZkl]}9VM}?c?Jr9M#(GeQdy>΢(_k̓'O*MVUvt2qumxN=wNkT#o@;]s7xus?y${,u]K Lu"Z;XXg~4 4f_׵AKDGi^\V]ft}gRN=@ oDu}Wr6ζ]ڬr{n) K4{{o{)QxY!Ҽl0ƜPw^clu)E7Pw x@&N|SՔm4ȳhA k7M}4lo"N"B1D"45D:H)a4|jZP0I GQ{Q 4RDqH~5Dzhj&MJ xxZ7s.ϋl>Ode㇏4_h4NsP]8=?{VwlfF.{/ZJ%y;o!=L'R$Y^!"Ƙ4˂c! A%ֺȬ5ag(N"qF 201m2ƌżdv1-FEɃgg$US[%aFqXBCml/m@T5 dZAh|\qL('Gqj#Y<Wt^^ !~^^=@&㻻qRݮ4/hCEE#1qEJIv>|(g,*VjM)oAdbߏci٩qCgi^d<EUR'a%#Rap8:ں|TeE ƴ .ˑjZ!/u@(=mÈJc7[L}4=gpXO#=LrvP@Dh$Fk2? FXJѣcoZ!go}yWвѸ<9=OFI`"Ճ^i鼵uOG? t)!}7P5C99༳ֱ:}ލ'#-B@{{H! gyQ9$J Ј..g[c7|h E=IY9?=;w~⫈!F)``6M.jcCEQH)}&1OS${q]UsUH9ty_yǣeY^\\Jӓm41ڶ9'4mxWݝB f<)"u>rE0A BRQR<4bLn-zJx<z腈mV2Ib@&9M}4ʨ48CDZ5ZzCw!}/~FMcVut8_WՃm\H;I9!YkzY,N8uulc)_glu]#4D @XP:N^̧!Q}@0AqG9t}8*'Gri]7_\\en.Iscc!GOvC4BTn]Dsjͣ!!\O eU՞]ӶM7 B x<.FS%Y#E9k BigXR:M?z0fa<[Z*%EлA @F1_]]65kn0F̦i29zJCEQ$I(xGɓ'ϟi1Ac}x2ͦ"+CQqn蕔m#4E Iw=wko);МOכUq?sIJ*!r@F}MAL$1E7M3N UژJ<6Mc8z֖)%8h;r;tۅG=z!GndRK%>q) t:Ig9AE\ FcL9m:ʺi҄8)#]V4ӮkB!BI]7''c d^3=(q h*8<~0L~Gh!#iv`,u8ÔbD@u0ff  !'j>==3ʴVh9g)"lfm꺪v4Z=~89ggg"H}< PB,o(J!TG~' )C+ɒ,˝}{ژ,+ymBG0PJCߵ~ #L<<0QY$ͪVpqAA*Xw~`, MA9cp@0#~ ^MgQY mC?#B$~xyמ<[oWŏNo?'oY9cN1xF_F2QRթg Ifg4"{ĠqbD1fձ0JL'nIR՟ju}x4Fk m4_EftBlbŐBݎA|Afs }o8眵sA@K)9c.O B.wt]GYjJ)gQ0}8€ K4m&pBubSd(ŎX)ZaPZ^8(kpXc]k."l.@(VZ;ujeb (ڂ[7O4Z+$'iZB8~󹳞1JZ[m5.aTҐ)iE2ixD~~r66Y{$ JIkm/Tt yx J2ƅ'gBʦm۶m4MBhf]qbT(鼯۾i{TFHٴ0Ia7:֔8N ,7 e,.+Z1;6^ֽK'x Y2%Bۛm0!fӹD3KeI|զzx9M3Vhjg bqեDp0o,M1G>~q^^ne}rv~VL7?@QxxbvW~~ߨOkp4gI8|[_\=y[Mg³n6237^jŃ#me,.y^](,mBi  '(.򔐱sx X+u*5z*<7 ?B|E`0+E B0D@x_D!(x@Aj목Z)E) @Q0i>%AʤTX$>MRc48I!x:6bJY00Q& !d2$iB(B’$BƓi$A zU\d|g&Oސ4_1_M_Dwyֺ|q*AgtWbA(/_ûj+?ks˯8gw뽤wzUW7ìv~rWNj@/N<>;owozX޸%׿Ū^lOo+Ƥ0t'-6OnQPZ ttS<7dOdcSg(>[h{=OArT*M9Qꜻ/ݬ>t !.|ߞO.0s$Vk0~ !\,f_.(}ss3_LǣK#q' _uF!E1 }Oh:afϾx޻JsןfOz置<w pr^"DcnpaL,R/W^}_yOɚbI#5J2OUqZ8 `??*GQFSJx:.˲(0ƿ W @x@h<|RW뫶zo={Xv%EpR1!@3MwpX,YѯV+93 ?Y#@(w"x3cZ8Q!,1BhPxz8.//JfY.os`1DۼBXq}'IZy%4Ci5p <9vwq [UcLTJ;yҺA2OzFEiѶ=N%%uZTe$xDD1ֆ< ÏKC&9~E*MSeM{48O&BY*P6xb#A#o 4C[Ջ\o_ 1 %?{ց?߾_el$J|??O[ksV4IJi9x,p: `]3P3{_e]h7,4x6/Çf9==fJɓE1LCvڦkqGB= C$*X۴micJ}Gq V y<"JB ,WGcjcM(N^u)š&;k16ic;1۶{JDJ/@:|?|/g?~׿^4TuDTrsz((Ia[9F<#i%{Z罖  zbgR}9 $#<؁A2ԱAi/2Q/ƃM. R2KmA1DT 2ieOF8;;(uT\Y)4ul|P|0)ʡ2?'o~wG\-;St__/|kgFku׵0 0ǣ0 M])v1uÀ qha|Yai?YXvɗ?C_ &1׾G՘ױot~o?Go߹[_oן6Iz#iCC#`CR / Bsy끇0/5ax(7mz(0[";@ZxkFz <Ԁ`06?Olv+i?+ᯬnYC ݌ޭ$1ʲL+UE{%dPYīolp80B1 QuM`=MZ8f? _,r.!j(:y^RQ^t]G<˲monn7I2!;Q,mz2yVu,h~4*Ntfbq̓t8$I9!mGvm;#v<S {vf6zGydq9"&Rwvvj:}ߗEq{{=Noa< ?rYnQB8K۾e1>|V @:^__Ř1:1?xÔTV@l6m1ƤRI X\Ebd~L&G˿?VGw ܟ7??o[ "W?O~ 7~?O~O}~ k 8w/o΃k gvǿ?GKp߀,_%5"d!4q)e,r3()t#O 3󢐃bX#blF@(Or-GZ^;A<m  ʜy' Kkh(A;(bҘc+j>.^_33jl#ٳ[[b8Ddk%L(zw1 Y/E9d L t4qlZSBh Cc@(r9Xupg"9秧^ ?$4M{իWwwwx?LP4\.FR1Ryh!CF#e|*>C1VLa:k-_x> C$IXB1*nX,N1&9GITZkF|\9eQYG㢫>&qiv2Yhyw;뺞 1Y pC&Iblv)@tb v͐&yߋb8R !Rj뭵ֻdr8T_׾oGQn1t"tOJDk4mQڸ$Ino///4M1ZE SR+ZJy??;;l|~Oo˿G?/ O7K:|3._݀"=.ooQ}?xt3уǟ_/FqޛiJxٴh?=PN6d4t%F#B @ ,PހAJq֎1\{S!`RJV$f*Ncma0Pk뽍"Cz ǠxbZlN<8YHWɿuFmv?g̟o.CeV^S{/}!RGG}Կo61y罷ƤiR GιN,qv;aQfDZ (1#u9X48YeYŋ}!(T,0caz cW= !z1@ٌ3XhOsJ;! 8NOl[[O>~筷(zB!scsn:;$o&sb!<z0tYugea9 ?bPUӎʉtXzЮ׳9$o[[oGM㻻n?FQ2(:ȃBinYg9P)uV+-qY4M9eIBmyMGDY핖4i:ksw=T0/SJ5M69{hT8nnnbEQ7HaVJ))UFq/A+˲zfցryvv1 CtBxBqh4ۦ:1b!<;{ǻgד~ F{aÃ$.gcɤ@:cV0L: uJ3n$k*PkmD,ݶg)Rn1h&^Jym}TQ*譁VǠ9eaZ#B$X `hPau$J;Ġ|2@RI9rL9H o'~*IР@DE^3!NB\M}Zkݏ1gιCYӠ VE^U.֥i퐴!4/.//o'1&p&C7]aIA:Jо=E FI_Iv9y@t]'a6ևɢ:Fe~8Nf3x\:$tM[nhYmB7"%DPy4JB<[."=En,qNwmų9'Z o)c:B_vG,8ų/NNNŒF&P10d!zU2y^]߭68̓m^ P+m,.m[g,#B(|"Ocl:k":Sh/:5*=Dyn{piLQE9Bnˇʚ(š-,K):Rr,tPCh͋m[)x<E!Դ1&ăw-^n4\Psu:I){s{X}zSt QQ!0CQ Hr#`!PH"kQ %= ` y;@)@TGGZۀ`A@ ce`9 @k9p~h tsہ!_:!8T@ Pv Fз`wO8(eFA1m@aJ#p܂ YH #رq@Fz HJc1@ pZ}y5 y3 11{O)T8ԃsϟ___iϟQZk\.p}}Ѩ Q/K'ǶQի<ϓ8DG)iBOo^x|q~J Z~ %<\quB')1G{gL$VJaʋTi4BxK ) ",궱/nB?K;h Bc)gu]gF.+jbPZv ѣqFaIWTxȧz3EQ0F0ƃ1J`5icM ; $G8OjS#ym,t]m?>'8{numҨ(uV\è}:jñYiUGuwUU&|,%xf>lWw,v{H!p_==&77g 8h]KaJ B`f8)i8dVjZ82j*pFy<f'Lk.N/f1u j5"DF=DY2Q$\ ?vpLVe/sƂX..$lP08 B1$a84!h@) 4Hݡ57˲vG9=={ooN&bgY8 ?t: +puQ B_`C5c,g7SaH)4Z/NO㱮uyڿz+rz@Q~O0veiV0F4a>SJA B$q:EŤmC#|<8vΜ"yCu'Bb캡~;OqPW! rIϲ ~ 0sw臇W- 59@h<8O6MumUsN4'V}kP9B%C()E!TelكE]R$΄eqۡm{X7xwPJm)-"9Mvbܶ=D8xo!i4ai:Jy? U]?|PheN64ԍ㰾j6IW^'~_!!;_0dYM&c]q<:!Dc³$ 1ZAryiN'd0֛*y7_vOըYGx}X-?~܋@=y@#81uZfrGEFg9㋔v75k;cg%FYQYkRЪ+S.n(󻻻Q*9qO9)xߋ/9T=~͡i$)C1kk8sVk`n&etwSe #B47i/N>/͡"Qh`LZ<$И̿߶s 59g&L,%z9d4M&v<PJI5@9l<ϟ?N)ځF\=XVg0 ̳2dTvf2nnt:`I31ӧO|_jl`xȋr΢(NeU6bQYu]nYcNNi׵Q]SNxU`8q"AgF`ĨV!&ʾu (BcuĄ6]|?\]^ JK 8P78;弅D"d )" Rc(!`ཱི. xuhE<3ڰ(.GqN$6nZ#Xu]? *n!uq5MEd2~}߷ma&ϲV/^Rv]!j6()0Q%EBbnno`"}$,Ϥ0Lbq"R2Fg&GqRIţG6&30 y^YM&N(afyׅq0pAZcCk,"j]y\Mf:gj4Z'cḇgxcrss#lATU~ţ$M(bBcb6LFj6[U3(Gv$upiuUI9 c7 t:ox=X`7u"٬~"N)裏ngI(!8ޯ74R鸌:۶KVcE۶B(b> nawwwEQ@ACLe? :iUU$I=zϳ,!4+VDE.Oî&Y8:q8!{A,㯌Fb8=>{Fl%}=5A@I'u+yAr۶=U^f(k}I??<==zxB/ C(!xI GMLk]M4(8YgHHiu[W(}߇!@Y)TGCvlcOP?(= ]gnȃiar<"Ǐme13ƸS&0u.YlaIiJX)BO uf?ϧI}8J),o.˲,+ڶ eYڶ z?c2/8eC4Mf$f9g6h?կ}{v +B݊ e~yf=VK=:yQO )r< p[u%iߴQ9ڂ^DEY 㬒CD eLi3F@Jp<~?xww/ΙduM(묳Blq:WǝI1B)i"EFx_<xy!U}|ѫW/NNnJqo9׷mq̵} hcx[pEXE\YGcX/cBBPQ6(勾! Bh)4Ƹon~}7,RtM[o>suQyc,ٮ7/=+qsscQH8>1[ov^{4-M<p$,ys!21A]!{i___7MSUMpc Bid4/<0% qh4r΅ƪ- 3~0xl6RʻFcd<[_FIDQiUUtqqaL&q= ~{{rA?NRPgY":=oKϞoHQ%)Rk~f;+c"<'@p5w[ c쟳!j(JbA]$I8a1EI)!=b\XߢH"x<`Cu]Qٳ4R8˲3BHŃeYɓ'E#4J½2!TJGn:w}7 ,؄AƘK0_WC`8I?== ȗ$IЧiBE(> R0 5 C_MI\.ˢ@2BB,N`OJtYq*tjTy=q !65u];g6!>}+臷~{Ew߽nNia.jyv:3;(<;nb9իWٶ奵뺾m=X"ZY!vCXQN8!g$bjm$ Wb B 1BEQUnJi`c*TݔR>aSʮZ7M7NyݿVEEQ{oˮ?ۊ؎ [#G2= r{1B9].۶ eEBGSJBsZk羴:cYmYy=9;͡X]]*5Iq-m`MjSrdH"EEz$_M@0L ]Ś+3of)3y+"ڀ@܈'vaTٳg.֔,"t2MSA4R*y^TS}d#ON 2K!c`tʅ5Z 9V#"A׻$FJ&@i`-H8Bʁ  X168,b2ڢyQ G4Քք3ouUUU,XC( c!q uTU%וּY~@rʠƘɚlXUdRzC "XQ Px][_J)!FuGk|<QI ;,4K0vւq+OxP58W">i98csJJI~4;gͦF"/nonIl&M)cB`_x,ñ18ۮfyimʪFc(I&UnI$:mir~nKv}aL(ńeBX紵yFњR:CCm5ݣ6۱<+?TU) ($i2֤Y >ĘR2 )%jspN9c:)%„1DA(M]k%92kx?N8c]ʲ[TRec}7mX00EҴ(kZ.VvgGʴ2@7\pqIhꣵ6KӲ,8((!>!v+"1DJٽebyP%&@ɲ aReUMplIDAT6?=;>H) h=vdR o$!YO!P,!0(`hڞ3bO FJ)k5`\Xk,0$ !lEǡs1B 0@ʘ@*#a=1L1!}[dɤm<ϭ2Hбәp1ֹ8u]0PJ\pgBXUUtv:Y j4Isaqv.bGsiBFRRZ)h5FvֶmlBG9hE__0 I""7(nGWxոq>@4 1 C+ǘI19A/#1,Ko~~cٳgͦ(n>7{CTá~7/ڮJz6Evzrr{{kY*msd/s|T#F)9yJ Fc/ 1:&\Fpc_nZ)5;ӫ(;J)02Qcp&󾏶{ܕen>O%0xgggm{DFM]ߞ0[H&0Lr;h-$e!ֺb7=w2 2Ry1d90M|F3Էëׇcc|z{8\_(yH*B[mn %tC=ɪ:FI$޹8eTUUUpBVHc86lL&}M3k]"DtBm'xӋ #(VrUe5HS!fy"aM&\U L(q꣏?ʊ0E -%хs0B(!x&IV „"h S)s!K0Bۭ_$q^!}[J)"Xkm !\0JA$0t:T3rA9" iRXsnZ=}4.ql۶,tzrrryy(N=2tXL72]G|4M֋Ţm(W|ϣ(xϒiY8糉JkB \WcbL$p^i ¸| !RE!L&({ｇFCT,} \u,/H=~0]cLiO`uCd$IV(=ƗuX$/R!s&,cr\ RJ4zβ{/ q !v;qWu]wuuyT'VgXd󜝝VǏeɓtBx~G͘DZV"|>5N_<|1VZۀ1fggyꕔR$97PJJmFk (g}_TĶ9~N%M1Da|~/`Ǔ;:7,nMesʚZl??*r>zѣGW^u]PFK_i4˲dB\}>xtmƘ˗/C14GaQdj軇~WErL(6z<={봶eO|1apl[Jid:tۥ mM!3,!CFx:3iy]JU5-*F EQ4urD1EQt]7JM')B@1*e`ΓQk=eYD35YQ#(hx,bZpUUє& pPJuZ-c;1vW'ۍ.1>qG[" .Q@9gqYV8Q@z Yޏ_{qQ]8ͮPJq!ֺ8F(27,C0 Y0L19SeY4܍g9%@!q7HSFW n[Wf<>Z,~ͳW]""0`sc?LivT$mL!伉!cuC\EkL c,x wM !Xs!kq1F[-6O.-W'f$RFݬ+B|xy}=_Hxic4Gi%'I=cxW7T޸6!xQ17\^^?$8kׯ_E1 ~-͆9'$Yw5ODUTk4˔u"Ik#UQ ~\Dg$J`] `1 ahrvqqݯ+Q< 4yoT1 lT=`m99k>2q8meAyogOnü,vb|&Ir80~ɴ{R&8L1I2DnevM9LxǿB4ƚwzi0`F4ZrRY B w0eA0Jߍ>Y$:R2RFa)%_z+.^Q1ҔncyEPږe~ֆ`,Kn˲Lʑ2)(%I 9;=u! !(RѸz}I5'i6L(iYzZ-onnYFIPU[R)(쬬(NE2l6Ƴ[^]]E;Q3#.">~9gf Dd6[lvJ)'ǏHo !`cy}{/~gUuݱ\.J%Aa۶޺rrwAfa7C۝ӆ zxy)ǎWe !={oLSUUnnn ?lETem/_\\#pYV8&Ir}}E)v[,Ô9&(]-3www4Bqsxl,CRE}-ZojA c-e)"4KkwN a}(*aJ@Du٤l6yx|Mv/ ku9΢Pq)!&"bFpWup1Iӻ,M)&?fUU8Gb,mV':x+ZE9eQ~TB Bè &PS5 0NzkB5༖ !lʲ4zDIFcY`㎠)uy*hԔs&H1BʲgXfqZ<͎ pR;5BW OD ٶ2bl?ɏR@;`AiadX,~ J|yJXs#j%y)e?1) L,Xwq̅Xo(\̆bHf3i(OaL!uWfx' C:c4*`R\ a|8JS.u :!ċ/dG,e ŸXȄ${ӏ>RKB)zL& N$wlxl0 [D{￿nOi; !=cl쇪Q96X@ h!kMs<,x!4F_Dg?ǏgY)f:cDň"8I;o*ˉR(z;dzUߏm;M°A1jD ^;`@ uǦL!dIHp.qǮ}pǪ)siٴiL7̠tM]C) ZB+HR^74,+(e38@z1_ݭopFkNISfj 2xo3iJ#!0H#0 yBsBx20tè,M% FkUucCsZ9E N|qi|7t.=99NXamXQdd= !j2իWq<v*rjnnnEex؄vf@֡[kBbZLSY]!m1$jʲv{ ey/^0J)uBEÆx.|T16ΔRwww)(^w=M8pO(ńNTh8i:u8l%v|>n6BzF$t:;#3(( AsY"R޹]dniYkW}]ըmȧV)%@91Vpׯ^m74Ckmd*DӼ[aN߯;cT۶Bn!D/_SL*-UE $4]3rqc"JEbGzaf6Ç~ Bp+'}/ Bes.2&I{X&aTk}qqO"EFnw'y"U*sH*3z>su]e6:sb=BE9۱0늲꤁V!ϲP7RJD(T*1ͳR)D$1u]s0Ƴy>}f4M瓪e8EQuK˲ԉ%8rVKSMuQ6q}w!zvvru$Tivh̦qˋ˗>RJ볳k&d2l-ع@c,i*''';*IIҵMtJŋo}[^k}swwZm7Z !VB/. Օ1j:ɲO>y1(B yѳLJُ vuzRw!}?"f͍ѣG:p%0pO 0FQ%Z[2Q8o84-80F"1>!!c"^}^R+4Z.5x)DXdY/GyU" J/# :%wq'͠!$I@{f-IQ)֓7?{C!~# \zqRJ 7/{sFR@beb`N!g}>f䍼;4H/( 4MӶn!YQMytYm, G} fRNnyطԜsQVE4Zo}߿{V RJBpE1?/D$n>-'eٴ"i9F9ih<ɀh.q&edֻ^]];|is}}Z_N<69Ob\7MJ(z2D'X!(29 ; XB& dzK Y:"k) C,MsM^LDd1f@ѣG,L&'mۊ$ !դ뺼Huqp=z| @ oC&yI]sEDk> Ci9,-xٍJ y$r\]|zb/Wa 4{v/@{3-OٟL k3 A<ќ2@0 crF4nF p3D afbl#dOR"IZʘ"fF)R/-N,:osB$wis< DK@ Qds&uo? lT;B0BP!v}+E"RJ s9w]$i*r}}M0)bzlQmXk"g9煵{19?pW$ )"|u}ùNgR`NQnwj2IfO 򼠔eYz8Dy4Mw?0Bg''F!ϲ,|Ţmv7cgIs%xRJVP!8K3pzv2ⶩyeM]ST%h5˂"#8o)FD?xf:ѳ<ʲǺqY7uvzwx 0B&5 xFQ yR`wo\h3X49ly^Ł`B֌RJ) _(vm]ׇ!j9&m{yyI)skƘ~Z.׷Q=CH>==nG)ݨXfYsDᘥuu!Դ|>Z{< ]!,B`$Ga]4T*MS!(e{)eu]߮gg¶k!8˲kcWڤi42*;s{{;onnj)㌱IBԄacQG4(˲4M9(;8==X D9z1iEf-*eYMZygB8Fꨎn' G lnoTdy"0c$%u'<E}]bƄR&˛2/$891RӲ$,W)?{dG?~ŅjHSу//}x>+7wWFb>0)l$ ˲٢|>ϲ 6ϕ<Ç8{]? !_^{J1'"Jc=MO>׾F)쨅\,ة>|O?R!T<˗BpPɾtKҋ/pN'{^bu/G.}sBǻh;ˇu25_8B Gc|yydy~X4]2`造zz~7Ѽ^?_WV`;s8[_PygAY JėݮkmRzZ9!7_= 8yl8[<8=8կ~_Ugg|:)?ɏ(?;c ]oݧ<[T)o_?--%$K7E #w[i"YrZԇ#d۫j5eVuׯ^1#D;`D뺮7-b}f8 Ƣ)xD0Or1_+>'R[qR///)"MM=*ӏ?9_ r ׯkwR؃e^|GZmn e7$XJ F`CNo~ַ6oۿ')!.(@3]wBz:A/rͫ @}0$bRI1BZ{yǦl$EVι{+F'[`A ~uUxSH R#_5@0Z?,Kg"c<a8q@OL~97ˮ뺶TFv;H4䦔Ftzuuuzz}o,{y,mOi;}߿:F};߹81qZ,ǶGXZZKBe@4P&1fh3BWWWq `pI)0eYYzޤYgK),0*%T˒tߟeY,b~w( k\w2OAx*d כ%H2b]N绻~I!,͓뺠"K"OӢn6&JPի]\\\}Yά֨*c=WVnUVbz8T%F!y/3f^j6f3H4M_z%ܟ?"' @Q% @PB"Dm Es 8( K%}۶}wC_ ?[q?PJ0TO;`Xep(UE|=`Rʨfom VcWD4Z!lbY6Wd7M\</}?VJ9c$<߼NNNQy9Gh4tZ=~@Y̧j1C#:L }$%.q.5] 4/^?~iNH<2LHw}ᇟxWJ\#@}QT0b)6 !d2Z8F[Z-V9ƨ)太1˒qTC0iUU/^Or C\__sۡcg3kmEQFro B}ߗe.Bm$1WzP{/'?Btv RJe_\IePJYIB)@` ԭ";9eþβ` )C` s C1>` ZJI:qAf/sct€b C:Bֆs9@J1!H{BHG,(>-\4c 1"Sf @ ٳ5ʯ|C)s~[6$B#J)F1 B 4 ! !diԱ6uT0I8|;jǟ|~ϋ"-CmltyTx' Ƙso|z}yyOߓӕ"|+777yGx8=WU/WVc(s)e"!P`"T0 y1bn-!l֣wVpQdhJAOA$IWcSͳg~;?9c4̲lrs{SiUUh9:cR'`"ԇ,K,1rR"IJ>tn&8XΗU!8y;0t]+l6mիWLJy~viZcL{RJ9NڶM \H10)4M7GYt^;99i6FDWBH{ζz3 BȅPRz2t]< !~|n| B1+ƸÇ_#tH16ƫ4`q@006I 2#+r.9F8k+sVPJ1m,Bغc'a =d DB!M Qp`b, %eA1@."!|pٽY00 Fn<9&x@PJ4A+˿ `*YcXkmta;Ba(>VD4K~81BZ(+Sa$ZXUMui^/Xdwrrr}}}qqѶR;Z{w{'Q++]ik˅1?/6-!#buB7Ǐ{YU]&F+JgTK齯CHWhkERN)g\kx(X4UxAଵ1OK`|A&=u]/(K0(is26cYVj0Z)1C0tlU)# Ue)i9MTuwj8N13%d6Zcew}7 }ƀS A0F9J|:kz6y1AQiv;hn+"Ͳc]ow[ŋ4MQ#ٳO>|"e9%hF< ZkH B>!9wlkcn-f\$@@!]S @01RJ;űF{!ps\9 _ !PBڨ0YZk9!lv<}%;O)L&ιs%PLvms8r., Oim6tzqqɢ">7F '|_~z8i!'N[L1rX" :gSJ0z@YkL1  #SBzPpc!ARJ'h3fFzhdsHP3b0bCagE h֊T! { N8VtV0'Yc5 88=` !YBQuW~7Hc5hƘHC F/Bu]c1c?ުm:x#1"cD":yn3UQy׷c4KDgC7˼teTD, _WbYRż̋PE׵i,.M8c HQ]ץiQ̻(%%&h:&Q*g-M ")Ƴ HEcc%~2-DZOm#$/1NWUYVGJEUVj{A@ߵ G xRBL*t:i366:Һ닪.I)ǦmՓ&Y !ޭaWWe(Rɗ/_>DVeQnSU/_BU,+cCSy ]={H,̈́Hb BrٳR43z$Ř 9Y;9Rc8˅Xm\k 8~z60N!jJ)q9̃ooo/..~dv) ?!Fںk/\ J:yuMs<ՆQ!oY,ָ$!HO(p^A R&B8,HcBpcHR\YM)i[J)B(/nP\dm'P(x܍1^tޖ9 ΗZv.+KL"| Z.W HS`y>hmus:'2 !M>~ތR%B$<9Gb6|l:gy c87hm!ushO" !~k3 "9D[K):@{BF0|H0" 5@ >MY!R*B0M+@!t|p>b (#P{}!{ A}!~%@Gg s!8pP]8j"|#}ރC/|K ޛ|*6ZΛ$I!㨔G)H4c Q={O(SJ1BýUf0Ƅ$ID`8Ku8t>'?"M(?RZ)cRjxT4)xβ,DFl6c8;l6CB(eZrΧiZ׍iZQ6׿C#`md"ALp̚d(D0B} ċ9*\|px 92QƩuP/LTv~+|8C@юt" Wh.B"@>@v 6?FA "a:Bq= &` sbpg>zcݜ_| WaLi6~!|&ӡkĨ> !1s(XOOO&Gm8u>LG/۶%߫C1Rj)$]V|r>A@ΆQR`2fׯm1Ru$46xAū뛪>y^N!|fKBjSM}> J8GVUel'i&Ȃ':Bp7 !ڶR2@@ qP1Rj?lӦi..qy^pY[qUia^z|)'Ϟ=ϟ?oۖi'j?nvraB8)nM)BvZY5iv{G7 cL)c=ph&dag0ec]1!ެ1Y 0?t:(/_RJ! !|"ًHWJ"mxO>|]2^|YUvFm{vvu} _Hvm~z$9`pTLE1h#c,9gB<r۶Be^IY U)ҮiI$8j1ƓZGg ~~zaQ:x5@@#j&8hwLj6Ji/GI!Dڮ#VU%˲b.RqB({ ̦WWWYZ5uMO&U4eYE6-!0OV PO}gիWgggFQ?<4'OGkJkuqq>UY;ڶΪs3 ]Y7R>c"w}e.Bw<cxJdWWWBj{{^9p8i14>__ #aȊ\xc[ }/sBЏi":N "}xG+^psko W85yޮ՜! l>bj>R0}Br/!į#=?x<a$Z[Hm2<@q0m@;פqc['IDbNӔr)cX,=99 Oyap /}6ZQJj1L>SI1v82$bbHٳg>]ܹ>ZE;<á|yssh:B"WW78૲těF4xCpf8H3'oa2Ӿ뭵M׮˘ 0c9뇘zc"0u]WBI5Yt]05v]K8Q`i$:OvÔJUfU'iZhZB  4+Due9fmˇۮlmb5Q 1Dx#Xϟd_מZ}gY\^PyQǨ<l۪NOO6Ma4'5uK\ "RFpHm󫫫n#x>Dyթ IK10VJ4eB[A!K<︿Jӟ4I!lEc1獒޲j[Y5BdGi,o4Vq-ŊcL l!&uzDti{_9c\F>+eoww1&l]`ǜc~t xG#&#/_rbn~,V~CR"h3W,>ad1:MӾoil}l9O"~2biDG,]ik˲GZE+wqUǿK7'Gޞ^z}H^_,_|IRpj*j '|4̻M1uB9Y7wg$1|[tRZkDDa[,Wagq!Șx4>r$fzX*P?cP!J88{d2iN*UM'" H)±cO|>_}?gO.>|2֛ȗn3MӈO'ijOSNcLQՊ1>LnwC<5y?~xa{j}tڲM3cn4{ggWonVl:ɳL;AIa2$)H 1RbR>zyoW_Oa[o70*;"H9ϸJBitn7&'BEW8r(Fe1}c 拀@J[LlXowM݊,n:Bhm׋$Y^,ZnPZB&U@79kmۋt9@Z벨4}oM^[ynRb׻qzv-e "@!B\QJc:Mrr]_"D&fq&c7^oándzwnQ4˴1:aH7 0!FAJk!8^1{Pc9*,A㮔ٳgwByG?h XE38JR&YEVTd(Z4,y~<}b^]v>10@psw[N'a)tswX$z!!"@ʂEZgUB(-a]^^O?,4M׻}^TtYNT1Gz\n8BĶ&2o}|B`HY#JwwłsqlQ{톲,ۮ{~_94f{8Ϲ8d2999裏bd`?a8O>99iE1 Cuai^__q$eA)l6q6 iѾ5z>==9AɓsR2BHvcHJywwZFPtflqn_[YJ|~~z~{wtݖeX+R}8ʲ6H =2Bp`2&M eDJ 3RF(#zz{woR\4- xa 1QL)&Yv|Gc@ ME=JF%h\9<g fA6\I6ѨRY}A @g1cጱL8$M{)u%Pr*}[%RVn fzz4z]o6@6C{~~BU6MF?S+bX|2Vf$I61JmaRj*0ΚO?O?y1<Ϊ?q00^|,^_]Zjq90_DyYe0HEt΃anoo 1t]Wn+~=cs>Nonn\ж0<;6sH`5Y\.gxWŋ/"k~v\,Vׯ_Et:e| 8օalLymvot!;[Ux$ vpec(-- &hj&P8h" Vt,IzSUݺsΙgycM]UG8"#oVs^ZRjd4_fe %zKj|P)+0\m*Da RP4MN ;mǒB1N :^@ hoql&5-AAk-DsSn!BmhI%AP0 vQ;(i$}MXEE7}nFF)!t)a`)F)-7&PR9g߆9>b1".5`hqYg-NLJiQVH !y mjr](oִ,)eRJ8(ԣ|J4Mul@p9Fݻw_xZ_VNL6IAE(6Y.iJۭc[eR,4Ã˲*9e烆%#Բm!Z)v0!QQl Y<.yC/_ j!FOee[Nj%T+]խaVB_s9r,}n gV+˲ `j•m]&}=(q AӲow/0d0c[hud6BI۶q M˲,ʲ̲,,@8at٬VhRUEZk4Pk|لn]MU !<۩ZhhXvmsZu #$~lz9u]"g:AEQau̶ Yt:U8?;NvWWsЄm[z'O4m{$Q Jmun۔RT0XUiۮ;+?C4Ma$IeYze`0| 2Mm{۶88a\Fw[xx Q4M ?%lg:x#*൛;>I.+2˶ѳ;Z6TBR|QZ-)p9LrcO" zu7 tr֫u5uZF>hd͞,K؏LJvCRJ(yӅ1‹,G\/Ȁx.y$JtZkeYȷz(*4n~刔r$I2ϕRoF8==uڶB$xp8ľ15UUEAg hqNgYD;,8- !JGQTY0TJ)َ,^8Ǐ7M^YgC)5 _*4ˬt]vd;;H;릕2u#ikBNӋ<-iD4`0P@քqB|>zX{oVwbw=a鴮kZ;,mF+ev$ᰮih-4qşX3-o~:FbC)ֶm֭[Um'cnqQu]RЦ 7I5H˱щ'vJ)% wCm%o R!;˥Rj0 MlyUaQZ#K8A?("z=$.s1mp8V čc: %~wx^׵Rh mSJ!qO~rxx^o8n?O+8cfk2*cE #( v,%u:sx[eG.SdЭ$i/J[:9;uVEoF>|(jjy\*rM,lMkWl1Nj!ʊ0Jtt6apbf-sypmfDZGf<w:l[v^`kiAXUv>(%f#c۲cJ'?I0^x-N>y齦;B)u\Vo1n5MM{Zᤉн{,CJ`0xr-T ~ӫ"ۆ[hD;ͧi Wu09ȋBlF,v%dPn2C##4ySUm_}КjE)5*^\@^lb\)4Դ74\ ~< 1z^(j(h2_V+ 7 jLǒmkv[1BH6E8 EUU6ұ=7˥/_d u̓/l[nq<qm:a4z/l6˲1t:gk4}i1Fa1nggg,u>}vnE0 z\Fav{nSUj:DUm4˲A[U3qmǪfZNFG(J*P,˪*G12!&Tc,DdpZٶ}^xQh_Dm[fg,sq\!TYm#MB]BHQmq<x4B|辏% McASh2!6NlbmUa٬,% Ax|ŋQQJK˲.g!3,+n*I93a0,Zf'?4j:,[Jp84?p8CMb^xAwp,L\nP0ŋt:l~^a'z8aoF1MixW'2=[bitivpڦIUcY&0LĂx#&vl@#r\_upl?a;%ȚϬn[ RF EBж`a4Mp2͏s3wuPI))L ReV]Tg y ]Z,nVkaM(֮csJ?;,(//.aY!GI@x3ZZvv;>$t{t2ݱL\87Px]^F#+ݜmK!nXeRBZy[S&DgY˳axc[e۔4#4M!^1볶m(/^|ow<䣡ј{ GjmZ!47en mYUeU)ܹ}u5,SJe?R-n4`)eY$j8N]WB6< &f,s^g%,+Kfp<۫ZVP4u]IbFӈfۉQeY1pRJE+[퟽ˮDk!uXI)m[(R &eSOvضE(4DFc,$L.LnEFgEB aq4!xo B4bImD;~oBh()g*cҶ=52dQƂJ6[RNF֔%3MYה2ne01s ,DzT6asʴYݬTUQ6UYh*ʠ6ۮ6Vj?|a'`cNYWxԪ`4pgornմ_Jya߳^ A̡XVmn6s["n?~~~ɹ{QEQ\U'ISBfRB.s)eϊB(Ua[ƓIػ}N؉&EU=~rC1]rv0gDa0(e]VN+aUuI{^@)izqqϗEiF8(2LYuSrΚujUŵj:V¶X]eJ4UyZpfVɦ-.J.sPr,` G7yq8ZZai,,nDkXp<[ (;aZ zՓg/fb/Ӷ'ܹs'MS,[faZJ8ϖo|?_ge a!AsT<~,׫fIJq[  [* 6۴u=NeYjx[oei׾5JZj`@1R J0baіci)@׿$"Ki)TTڪ-(Bh`(%aB ݂QPhZ)T@4  @Bg@ZS\-J8D׍npn߬_=tG)A8P 3h4,Dil:̴ 5IDAT8}eq㹄Pv#JB<<}׵-p=lE^^;/^ 2\-l6#bf?FarL wGGG{{{hYc&~8mTAt:|>G-=z۷=1 Xhxt$Z/|~qzqq 0PQ !5lӉMkN8U]Ǐy>UlfZȺ)} );jm˲PPa=ʌm)RJt=㗟ԧ8Zkfp/G16hmq(*p͒t2 #Jy$ض]5erΈci`}ZwB! $ C!pؿ|׍8N *C0Dq쪪FKt0$¶yplf8x]q]R Bk]UUʃ4M7MEeYx n.4TJ0M: RbJn)T^(T 4%U@SB rh\U`.( dY2-H̀&&7($00jU`P9PG-6lr 8v4P U&жu J mLNCgQoqxKK(eh&iѶZ+ Tk$ ҽ(22}6 !ven:A_eYvuq Ԕ)Sdk9;B{Q !ɵTi:I)Te鄶e()HVJi+  H5G߻wogg!*TM!ZREwBxhOԂ Nsv]R:ϱr}HFUax `.niz;8ɉGdà?Yx^^^bH, c{,˺'q.h1ihJ-ɲRD#(PՊf#Ui-D3`tхJ*YՕɨ .KQp09`)RԂRZa8PaP Q-1E[ɡh (^,j Bۆ1hF_&@ogRuG`x\LǾZmix#Ϛj Zkq"m6D|;p0f}J98ڮeQ!s3: H瞟{g[.gm۽^A}3g?;<+_3epq\ŕrŸuzze" h :ruۥ~ӟv*n(bFQ߿}zol6k_2qx\.{^6˺v4p3 [!d4ږQd9V:;կztZԆiWefㅁ{eUI&꺬NݎyL'g0brjpjrjrf0"ښ2(%}צ\j2ă~wwh.sRd7{=48)U{=x<똨n z5(,T Mwֶe'Goq(p4mz띷-f-EQxxj5ҀmF4c J*Qjp`0 ÎI5?<'OdYf:nw0G!ԗ;AIܐ %W5Pi UMa;q, Bq Rv;]!ޣ4HvmFQT)d3ˆT V2"攡G9p6{@.FD$9Uru>SYPjT.d1 xFR BLJ2".Ω) ذ Y4e4j&Fc$-_? 4UJZn$}^nA0֊}ײ8!H3HF4PE{ed˖i[eQ7M %qljxV54fiӠgիnԾȢ(P\l6[.~!c\yh4*ٙNBio[)em ryttիCN&]x<|Q\\\W˯|kgg?bUM$7Iym[3F$Lc|~zϯ.<|p6!nݢFRCY.&73v8EҲ Ɖ \g)٦xo&m]Y(tlSi1+ #EGh4}idT R6 ,n0ofrP4#J闾d2ywONNFt~WMь,ѷ)b^zALl6gϞaC~iȞ],~izFAn=CG>[?V$̥RFl*mj0BRRðpUY5ETyYy.2I\uf3:f?6k@^&(`L=hgPj~۾Z)nZ%5h e=*_.i@ P$ߖ,0MS=U tQA%(AQ[ju~FC²v4q[{P2ʘAljlƽ#u]o۲,u[ms=r(eXԐ6MZ¶hZH&eY_]/.l՚yAqEwӴ3x<}.%<97ðE]gxttf:ކA*ϱE$ l3H') qӶz;݉p\a#|M-¨{5[\^꺽C mɊBpp=+'a,lhz\Zfd۷zx[guܺo;MUd#]wxؙWjD+P-3=(=[̶d+yfdog:6hՅYPɕl몸j`SV~'Ɩ9.A3F.0ľrXa8>KB (ũΝ;x2ò/Ɋx }R?nʪf(ro4mpV/_ή8ux;ӽ{BI$=z;$.Zz8R-XƛtggWQ1Ƃ0u]-B2v\|46RL[4M[aYJj)c[HI@*?3[̨zy U m=rʀ*b2j“}wòOHZ)PRE(ҐW`*O$lv'@oY>hـV.6P _?|@R%jˆ )TvCuS^^c;JJ b$$Iɹ1r}%}SmQ0qC_Dy nA(y.b a6(e٫W\t4a=>!`LDJ+T!#v%s qoWUo3.z`]^^($38KJW0o\n7tVJ)tZГtDz݃[w(M-cA,/QRRaA`yQw}֭[|%cɍmΒcZ=s3:mm:K7T۬Wη%h9EQLNںhb:z; (%LL>|{p8 *MS$4XEt0qZk= ʺjV)8Bn1o9!A)R 0ð@4hB1KhՀ&S,z5g(aN#JIbЊ?{0Ȼv>قB\r!rj PG@ ^0vQp `0_Fp JT!$朷eI(Y),_ \q QI7e5M4 c67y#=ϋ(I` lu$ & !ia#ιee2x2yYɋb2*QBa!^I12!ppٳ8qA2dlxQ7; nO`07ooZ.YYК޹w`ӋoXf.Ҭi*0lJJ4tNa\"\lUT$MrypWͺQؙL;9zdY3AnM7Iⵦi6m0B~, \qtL6mFrZy4MqlˈKjoZ) Ӹ8?ElJkM\\\Y|ܲ;yUx( j^ZeFEQ|l8.V`1V#|73:^i~Oh4B9Ke`4lr6_hB ӏ:{,l6A? +Xob [G|q 4Mc^e_}n[xdQb'"mk;R ֲ*˲,*L+%U-lS°V4 4QRsʴ@I` 5?~g@KX`^_/eP JN)5]>ӿ?ACE!( D^Q`g=i '~J '!EE]r%CZ`\fX@`V{^B9@])~ պd7'p؎j')! VJRNQ88;s|||-9mۢn1H#3 _K^!p!%znl6䟫Sq?,˫vEuvnGGGqޘeYN&?,OGx1CQøF޼s-BtQYYۛS!>-xf{0ueDhER̗r)RV3M^y^<{2n9 `0L&j= UUmݶu]B4m[#M6xL q' 䆡:¨hXOoomY>mWё8ٖMmVZ=B`0Dѽw9cm2^Ǔѣp]O*ՠDw7d298[,Kk 8 Q'lrv<B$in2lKhUvR¿- plY᭨C5_EAtgfu4-ssAYmU;lӯ~kiq\x8϶mMUUMHF#D(„PZcUQ˪lV׫ztƥDV{N$Uoo"pHh 4).,4~x 7`TWg>pRbޟ7W?/v{=^n g 'ȋ__GpL17 8߈ u۶9hEVڬ@֔(5":Lk4I,;99t6qvg8鍀 I˲M^ \UU -4Movd8iE1ϑӜӧO%1v޽۷o/m7d2أa:zF4bӄ.]^^"IbwwO&W肀G,˳__J4w||UeY1/pvrlӱL,k$@YD ^L*J!cٶiڶ)$JzFUUM fYV7 oFQdcq`oGֵͪu0±yoв,0)hRQ NTV7Tiql8gZ+fLSQz!<FE!偘q[r0cBk.Jhnu]c76JBzikJUUw{_Sdc\7I=t:`̲l\n67B!6|n*.4͕j qq*h 0LM@J-t\(`fEV4ՏN`TYU?DaÍw|(  +WC?_8Sv"{S}-o'?h^7ھf[.E v[OQDmm*PqV(Q] zuTnʎ'cö붡S΢nJx]Z_7e)!(2 {eeX,>nMnj!Z)E;W2)ZNuJZA4Yne&gUS !3]םfwA*k'8Ϟ=3MFm}pcǐ^XA:Q İ9c7n <ϫ&i,ˢЪælw ۳,wh&NױM˴!r0|W9(m8:NATij&LjeYFPe?8m+ ͯ.O<JA4َ6r.,{X Fse2N4\{xx "?_qStee gM ?Яn\Nc'~s[wLg_COFv:WV}??NI(PA"R_fJ @6d4zp">-%PJ"͛`$i86JPҶm0W:7n@ PWBﶭD,P i4㠯_^iG(l6 c4ڶ]7M$QÒ|TVggg840d@WiV zYSy4@C,ˀ1  {ǜ3˲vƓ0 __ȶؙLv<)1h ncTeYvqqqku&cm6M嘖TfoWUO|b~uevYמuD)e#h4?x~>ϟ`go8V֝;mJ(y&I ;QS E0RPn$mQUJW+˲"~N=᭶m1OOz=0///4b1wDZ3}ByJAYeQX)Ոmy~ ui#mM* enI#;ZetOƱM)UP Z*!8yZif&kF6_mhG?*߳GQ _BQoO6zп,zv:R4& H zsoAX !`fCw:x( `hc2z\g۞+Ǿ{o+v2RPBbAMmyͦ.+y[I)wk^|)MBiʌW'O?"&I?ǑB+ ZUiRe^8Ի0 mS !z8DZa~ystttcD%,}6N:-cc w Im`FV{Ѵmʶ0Ikn٠b^WuOmyUmvx޽?EvbaF\BBɍt:ӌR~%hBdY&aMbwwWnѴ{;ܮW;iomTUQUe[w-x۷4=$)֭[u]hx~~~fq&JӳیiG$K*3xJ? E,  lA_ 4 Pf۶a0LyֺqjVrc1db@PaZHINжm%7CDMy2Du]{X,3G)X,#4MӰqeT׵i[WK4 ðeC<<<,JQ9YlܿGs2A'Xn),DQ DmaY^Ҡ㸪ncKЍn n,ҹ"TVUwRY-Ղ& iN+3 h$0A*AIL$`1 jJጚ(iB<;^8!@"CW$AK98!o|\+ 4R1\?RED B4p,XGܲ˲4R*IR!$Gфײ, qTVZmIYEK"\EmVTao6Xn&Ie߯b:?g>D۶RzX,ߋi !Vd2I[<$ih4 !8G HvUU3ٳgB4^,lg2^o7Dhilʲ48k۲Pd̶ ZJi % /! "Ǯeen'˲w?-vk7~, )X4ÜMKVZj5pimJ`VUjmm[ȵ8 C_FFM˜FzB~h9] M0C(̤ ǣT ׵A ;*d<ͲLp=_iAl/orTJX}~vqeR(Jj %& P `@уs?[OޠeYky'ǿA'Rk4hR# 2Ԉ5 `f]6ryThdJFqB N*$(%x)i4q[UU2k!}Ǖ[7+BzV)JsJʶmӺ /޻M6ggg/WvyY\zFu!d2Zv/àVRJ9N0¶ݳsTGUU958y˗nW^Ǩ 0fʯoMiwɉeY#uqݶmRn7BS u zYNGj4\\#'iݻw1&l6EQaKL?<<,{{_|i6saLP @JbBR*In<$%SFxg&b}&7#C$TAeGșo~q =DV#o&8!L)/s}SNbO|94Rw;զZپl`dAwBo|?KP(,++ DRqG6=8i֢E[:u˲6dqz86G˲|+L-1,ˀ6M5wyN?(t{ 5y.//n/ˢ~ǧw],Z:F#oJ,ojfR={*˺(? z}BQK!\5׶ГUE0Bl$RP UYq|֡ҵ|Fʺ(zݨ* Lir^u[/+iDQR]^^z=)$¶m 땔z1_;amiMwX,mׯklӺBgW/=zGѳg0mp///{A^hVM۶NKʄVHf3u:n||ɭ%6 4l,B*fP41iUJ)ն!Q!D#tZE4ac&'$(0;($ɪJRE^Ç(988@cH ,wDS}8\%Z -4F8!!~kZ 8ǿ@oߘ\G(`ڪ(jFr *G{?{~ɽ;IMn뢩bM{?PBh ,K”eR)!hZ )[Ƶ Jb/Vݢl^qe]BLTQ6hYV#eqx^eSe z^EQmv;N1㦪8β,^fch4jj6P).qhu@*z?@$weSa h}Jh"ʹ"?JޞZHv;:p'׽z{]FQtέݝzͺ0çOmxAtj㸩ncqX,tӄO4ul}hЌvw7۵eB d>[~sou:=)*jPЉ"Ѷwap[!tZ/r^3fLvժ*Kv%I2˲ۆ1fNYir^,oi-17Mk Jkl|g"˼Ĉ`/} q'GZ~؉k-ڃ^069+TE9 ̮7%ABᛟVKcݯ۠]kXL hV A .?٢\C TMJsʐ0V eYI`"3@dK)ZF#(~~@J9Ni7IEQʬ !ݮa~(y4! mv=ضM8lnW4eLm`gg[(+Z69 'AҲ,,ք˦=;;m;I6EQF#Tm;/wwwWMEiw} =s=oX0fREen2p0vJ< Bflörwg2vSƈr߿^,oo-q0 -"(dwwP 8}?fMñ|4mܺ}˲= rfYVx V+)"o^_.W^46 {wt|ܴYV8xw.;0<{0808>=;<=MP̓p8j-vwwV6p۷zgjB~n6/f#t:;;;J˯~?=ǑmJ(b :$ql6l HfV7Mn蘄]G$7'DblʐLd}~yxOi D"-lu]7Lw?:O2ܘyE n?S?G &&5]peZ\MbQl5ڎ8Ҋ-]@~%Ji#ZyT,۶)gWk<[xo눦Mu:A$,vʼ i|i๓d\?z6>?Y3^-v=-Eyr=r4gVVUci0M |zu4z^Qex\:Drvu-hB mkYEQH)߿qqѶ-7$I r-Va0xjB﫫+u˺c wYuStPK71<-rTnۋ3C wBk] $C.vGh/e7]&׍hjh1KKlB ~tC~WU&tłuBz8|+ pVbx\qS/l[QۖApNZrU] \IN@&B{w8Nm#ТcZF6)?)jmhJKjE 06/0 î4͢*6~TJaKd*+0`"d jԣUF?yx:uqy}p+MS˲sz-uxKL Jg_ܾ}wZ9w9qN14_~$d%&h44v⬮[qvww˲ BpضǏ)4 m[ٰ?l-A(𷛵c26<+}DSվD_9eۖɸextCu]kP2 ;鴪* yR̅h0Uh @ֶ4^o<(S_Lvh4gggUǹ Ae~*m[bjjd֡]uqz(lB,)ia؞+??7 c>߻wo0eJ0􏎎ڶnt{=˲ l6uQA8^B,fwd+(j:Di)z26uI}}nS^f{TjjpbN)b~HvˋR*8֔pcyYV* EUwt%Dm^41l+l(Rʍ9J)7d</{gmslG4Ͳ Z/^ܿt:E3G)b2hJp2zpO&E+EZZ~hi`iX,ʺ QMv:f3Oo*)̾gYGJ~ >4/% [wʯ 8^\\4M:礕eK Nh5q=PN3\dM ]Fs3`B(*k :=U  , àY3 5=('i1u]Ѵiq $Ǎ7`ix**Ԇa)?RJJER+=B/4y鬖s&Alu]|yA]6t:kTn 1WeE7(4F6A$X ۺE;99ۿ;)[oܹsj6[yDLB O)طz /_R޹s(%WU(Z-EV!0 hL-mȒr:VMWelpZ/ǧPPkfM(gQyyqeXi jzg:.6M}8YUM+)ϞzfnфDQ9e-VKƺufd$ [w;LQ0원{ڶM0d$l1 )eGCZQTUfnFvqnm˪ |Pժۣ[4fݝZnq~aY8}\.1oTm8Ϋ[a{lSUSZaYAxy7l& rЏԦc+oЫ>ƊX+ T(@tA8Z4aUC{(V[v,J 6(M9EU2f(A(7P4`2|8nڶ-HFk#!)eYVuz!uI FIm~{j}0d8aXUЗ2c4Mn @(7]wbDYx8]...ʲp?Jr:BxONNNOORa9h4Lc;SJ${.7h/>$sNޣ1ƚF 00 7eyDk۶?FA-pqQxRE3>(ccB&)4?@4F}Kյ B` F$SȐ*@fPvn8Rt=+&aK)4KJ9c\ uVYj J)/BkljRXVRjPuYY^9icnf:]0 ?_9Gx4w{H /"[%t<"7.{a,MneYewH)UJ#fI(E];;T)GKMQ%2yMrL˳j.ʲL$AxDZ~,-泥eQB ,˺}b9/|o:2 5,Iq WEMXlF-*IԶ?.bwwg\6m 4-h8cf׍Wq,͒M9u{h,n 48dif4MSnFi.0jiֱa~Q aTuTڶ$eYM} (B^W@ɇ~wEaqCrw6I0D~nZl hZ)A yib)FQQHŚi:; PTɓ'BHl%֌Q!DIs޽ʋ( $/~><7 C۶(%M]ძ6UJ=}y N'c%~uu5 4|;>(S'5]9!`[߰#Uŕxk |sx_5?2 ~]i;uqhP (H@41RB]d-BJL*5WkS??Ӛ8U7Ts."@_ X4&M˛F6t:M9]"L&j|Em۶M[*tBoQv4M<DH4m&Nj(B!KP3lx,Ɠa^#$pqtԃA?MqQy..n1BH xa0 :;w޽֥lhV=|A7(њe4~ $i.&KrhУ:zd8+rp<7+r5zy^7[ttӚR)M;vhJ:^o0UO'; &:{iw]aM-y{ 3>}O} P^ .0 (LӼPJ @9o6v`lYybacZ.qWy4M:GGG2v<'AX᳧rvC]V;qp;jqq4z=ͶmA!v-ln߾ juyy8#_{Gaq|xn#de Q3:^+S@2F?v]jqi&Zu]jc.3p/ܲ )ʶm ٳgD..ghZbYV׻Z-Kö^V1q?!1PT+r6! zJF,p9[ё >}j/?z=8RV ۶TM"C(^kZnYA&,J/mg4AtӢ(x真g A' kbrΩ& 0@i@ Q(Ѡ`iڶٶ ,4M_~NKUuUWu{=v{l# K$+$0ƬX23H܀.BH,ʌN߷o⍌)Q(3Y~, FFa5KR0%""_%!jV!% !5QJh JZemRrmrwF?yBR!$5aĈ0xG "HIM$ q5&I2SfzqdiخuB!lfvM2F23M+L0%kJn}0Im^__CuJ]vkfՒ16Xcݵ{u~}ɤj*Tq]LX(o8B$I3ò0yQ [%Bu0'_TU0Z lRaI۵J+ at-JL$1-,Kyl:M%f"$˲`xrh^ul+/l0~k_Sgn6N4%}AhjF hRo2(H*eZe[BRF^Aտ)%k`cL&@܎PJQRRr˶5R5MSiA0J !Z S(Sr&0JIJtŠ2qRJaQAFH+eesJ /;Qba+ R ry90hӴ?[. 8!˶9甂ySUP*J0J Yai$uc:.3G8q'튢!dY0AU 2T{o۶z]v}bz4 X 0KGonʲP#s0mMcZ׵֘ A&ɋo.*ȳ~iVUxnU5RkmH!) X\.7$>y:<8.Ra4ͺ`4A7A}49mpo}*ւn~~~!~ //z3BS AK!m>j0dJ!Hʲ{~B |4]__C{ 9X\Ocg ض_)}ҷ!ދ M]<{$`PsS7O $pƺ[B4lZ# R+l*i mۖmQIքP˲l(ƣxEQ;(0F{ֶ-/@! Z@)H1)u1)ӢZkHl*R >j>~1etQ0 J}L P%L<a <B( B^|p,a{~[?9 90xu~ѣGͭUQj BkǶ0dFӶ]r!lyQiFaێ2RsA:i7;1RjVdE=菺N`B`ktql72ߕuE <)x"˗Xxł2ZTu$a}4 !Ri@ nNg @w` n.!̣sz}; ! ŋsP/b` N]\x,888xuEF#۶'IB[Kf}yH>88R"jo[7=ּ \vJ Bl]eYR+OΡ$ s_#hj$3>>aJ)vm ohZcJuR$(Pr $@M[J!g"L 4 K)Iܕ$ SHY5 )&nJcljNJɻQ4uԛSJ}bx(k0d$Ifc뺤!ATJ9δMǡQܰ(,fA+mZфaRz1^76J\_}_R Ӱ0r,l0Fmov[Na ) EgNxx~p||f^$Fj4]UKMk)FR릩f.TFd\GTEQz#$6 #{U]EcYjdZH7KhfgggyV\oo[4]1ӶݶQҺ:f=:: R!OH4FQ/N&iY7-M?>>>vgں_uggG$IlF Pe>}խ"z+aZ\.=zynYymrT)? 0I5g_|12PJɘ1}h<σ/^:J^yLmv]rlSw ~'S;,s fn6 +-Mx)Q?IXdY .=Qv]0[P/]FXm&N RLO~sE:^]my WUAS`^0H0ޠoF fè bm۽^/hŋxL)]V`}Va(y} n4}|>_ׄ]]ן}l2/0q>0cS.Z)Lr0ٶK 1QaLچ'IfFez0Ndyi{nFcai^gp8òinZdYVBĶm!aXUU12,EOv;`0O&YE@ R $I!VJ '3@ﺮ5۔5]˶m.9眡1iF!A1c]W;WA__u_Ū <{7(8==-R:2[~~\BOu]- CHXa!8//_E!DSd5cFgcBc˲xS?9ۢ<4&aX 8ۢNS]׆avekFmr.$y]yוyAmboPJ>3.E n۲|WRQʎL+/]R :ISr}_#D+2OU]k~vs~?tضeZ0%k鸮if`пRZ_0Nl7t龔*z<{?r!?xdgٳw-,ń2ʤHTm״MFֺ(U)h7)XwkqlT[֖H+1!UոKDhfE0J:E !Tww ʌd4MUUQUEmtVUu{+)aIaej6 3 c˴ fj4{}0eFUEQPy(anr>Rn[v>;;{c,Pԃ0 (eYr{;|DZrL: îybB]x.]޷2,RI)7bZ}am}AH#_ضSU5j:ev 3L6 FΊl2i1JVBɦm]e[Ie5LR;)j;d`!LnYEW!Kެ<ϥp-yTpmVJ[%bٴ]fqq pU7eUw\Pf(h}X Kziq0TMfY^UGe50FUUl~)$gYZA$-@K'''i3ftn7; :Krۭ$I|?!8w%x<h}dZoPbH& {(X?K U(!o?@Vꕟq.Z#qˢq.mqoM3l1,[#VJ !=?hRffӴR!X)iHNJA)R|) `= \J)%!2 +4 R@FQHU<7wZYq\m0c`€QY5UlOl>99nRűye]'I¹HD(l\דRv7 ) z.2Sr_DknYOQd@[e?v&3 ;lM8RǏz>Zn8NNj s^|bX-8޼~z6 VU60ͺMSgY΋`ܶO0Y׾c;[eNȼ:!)5R)Jc`00!;TmcqnM] ˺0R鴮z~MY\ !빐/cBv.a~q__*foMӄY3h˵8˲4MW%Do9 aM ARat>YfRru]yދ/fYi.k l6~~/·D[tZJ !%@"ZcguZmisg<*Ri6c,+:FcbRs$!' $`1Ym~ a-!HC #4BaMo3} ^ж-$umna"XP2ƪ&xu-TD`0EYQn|6C)_F\4`\.aH>;;aBmlׅZM1~ї_~4> qp_cH2s][V߿:88< 0^|wjݎC)%o( RBZgyb;>{skXV^:=9ܶmhS?<0}???l aр*`;E,A#/.._Ż[qQwz+8"/R[.,&6MQ3 1 eM'<+)-ӁB$i0ȇ ,43qs{v4[!Dba ( B[]|;, qTbxoo x~7~ñ<= P6aVrbMUQ1:߱ T׵aX&|u5:<<4L["-vڶ bxtte縯.^r)4 5h\ ]t:NEQ@tn:e\4Ɋ=Xҷ-B(MӮv>?;;> /, ///G0NWU!LEQzu᫬ڶm!`oX)En08bqvvVWa ^  0/IDATGi!-C;==6C?t4c C)j})?Q?X~aL7@Pz[N~R¥J AB()aX BPsiY4`0J-! ߏ ʴCt&ɎCza #$BM!r?_myPUJ r7MmY6cc_$m `j%QfR h􇇇ul[CCť#LܬVAv 6nG?(Ƕ}'ÓD+znIuף_b@m*#TP>xl1 t뇥T)?sKSjhT7B`+?qo(^еemGBAٯvmB@!8WJB1"1X .E#aOk|o &H#?*0,Fx B<0gC(!PJFyjثGN988` .,x|q1nQ85|^kNכ EQ4R*˲(ʲJu^VH뺪4ͳzQ||xH(ڬJ*Jm~X׵2M*vF&)D !֔ axcD3$R%%h0mwK궥%Ij6aFݴx:}4'O<+)aZ 4ZJeYQY{ᷔEi(czvzYoVU]77VmA[+N((j^o7x,Pqqoo?\Li7ݻ?<_~nR9r j9Jo0ܡc?EH*CW _04&a4h5% !337Pa0)`j0R9")x]M4F{} +F#20v\wۙ)"1P#}?wX+5?|+kj=#].s΅eR 01`4 }!(2 VTU6\k?|/_Xͥr~;߬7GGwfe=LTz2GQijyGQ.Xeَ\`fyUU̠YY~ov4(^7ׯ.v1ߣӶ>{!0 v<8+'z tg!`0)feeYyf\îu<ϧFh\pmiQ%8eƸn3LCj }ecHYB*"$M\}߰m0 s8Nm۾|vy^$ifY6Lʲïo6˲ {sp8S(OEQyy^? h(t8m}uu}ppͦx7us}vO9}t:Oba@r0}JَqL^?3і>A *"D6Z}OBB`JBJʘPPF䟠>`FRKFF+mX1NihvDa/(iDT)B(4Q*B„1IUuLxӴdU-SR)ӄ)065&ÖFٴUSSJ(3;-*bRcu'B FcB J iE&XkL]G0VRo?)1!8kýJiEpF`Zi5-Cm[˲i`$&cD U3 iZ5 o_iEiZ)n^Tj0OWp5,Iuz v+Dwx7˲n=ہ @hUYn`߶ONlpٮ!c9˲ _ t7Ak|2Rmy;_{OjvEFbNx\[]l6pz^Y xts޴˗/<`>-ӳv cSM3wۭŊ4Y'5,1BLZh!%Y;!Dyp)e0 "/^8:: sGa9&e" L{KhC¨0*jeYaK)FF4M?gϞ1 aD(l^J)2xZF gzX[ussåzxLl2 6[f] ^>j\^4Mӵb^?}f.K˗/{qY8=BH]K߱Em] L'#(%4FJ)Z^4RaOZkLH۶6 .r2̗+E`xZāWVWۭP`&HaHK5"XJ/7omwǣu{\#4E nh4rh(`K/Z.'''0ÚᷡUoЦi|Ut뺺.,k >`4?li?G(צi4Wi>{m`w]Wl6Nci?~1@/:`~O7olvk۶mۻ3ˋ=s21]R׵ԊPgy3j 8yƹ0 4-Ђ[ye8|JzA CJrvgZi ]4losdM\5IaPv^]Ni3kǶ'1!DW]RQe09>Nwl6ͲܶmO]"\.A<)b>_yQU.<eYMf'$5 aڴ빆i_^]UU%^,VM5u mUs?VuӶTULƹ7mEYVse\HJp5Z,Ji$ ~;g,ER)!yMm^7ug0į{~YQu>[ӴIi4Mws3?⽽=d:@QfYݴBXF6-u_>:5-u]e$Iamv`B m7rqrrrvv6(l0}}DH"^{|!D{ϟNo:Gmknb+c>kӧO{`0|\.|_) 77m۾y:MӯCc*o}3anoo裏Ҷm3 Syy˗gggq<8{57d6vJMMb5CB"LZafFS!C*Mc\ Tb4h|YuS̶m8 ye!3J5֔QB Bai&VHdz}cQ0D:Jkieb (mS3mۺ#,RؖZ#E)b(*$ N{eVwRr5?'4SM(&&"BT!5Q0jbb(̄ƚX\cb  ! l4M&=3 RR*!id:^}!󽲬<ύB, QSǟ}6ۛu:i8IM07MM}~˜PڴmYU4m9J˥ebA2)lAv]1cF܋0RGQNOOͲX+~]Wi>!8 I4쬮0 e 9>>'OE鸮TJJj.˪ۢ(ǟ|b&z0cxLBn:!!!l8풄2cZiք6*}QeJf{BnØer^.M׺gXj<'us)eB骺qOtu&LJ5 @i*4,i0>.2M0@4MK,۶,q=g>!~& bӧOhuer4 kYo8UUA`YV׶޼;c=_SJ!1z})%(J0~X7Oϙ'mR$Fi]WiT]h.&+ۤl7EU42)뢑e#ZTB՝9:Yuj%EдjF]VMZYY7 B PRUUMeeyPjƆNsqE뮭E[mum۴iImCJiVqo6pxrr`ZCg7~DQ뺮!%To6M:mi>gY$ _{gHmnv:B,Ku5Vs b#8 ڍ,goooݾ~A|_훛qp$n|7!t{{B^zezz|z(n(ʳ#e//'i` ! '| |/ulA;`ahN]׳^b0--#ދ/FuczjE )0\sL&Wt4n6;xyfFi|4eX,u}? i0t<]׽yf?X]d)!D!\^^qm[0~1>x1 Fw?g/o/d,/^OږcDucZ1FFR uQaHqƘջgI~eDB^?0t: 5b&%CcCJF(I8@!mHJdkr+϶zWDŭZ!BcDI0>57ȶ JmJBB=P!Bu:X"$A8/׋՛0 ~5BфaJ"^EF (+"Hÿ+ZkJ$ `p !|q༵M,ʲۦjvDqf R:pmKr0j˪NYR!Dnnnp۶u)e/^xS{k@ @Ƙ0 L4M0b<'21̢(Jk[mږ47QG`'PU|SQ9Kv(I7WqMmۺ<[,GGG~駟Vu}pp0ٛYK!rjO9L2 "<+\lvwww=rk\< ^nva?_::F .Tx<جaYRJ1"ds,`ckD0,]Ճs8J))#)3"D'%g”RJ!6(lZ27 VםZ9: C!p8w꺩j8Y~]sM0F:ƨm92L(%!`fTH!.* êl%YP5u UMi}WtK34 4/ zBCl 4`%RID)@{nQR+[Mg]D<=:؛mk3lөqެ,˛`t &f3گ~/(M&lYDH-Lׯ_9v>;cyi6I4 cyYX;6k $Ju=o#i۶ϟ?NJBJZSûۛ,1(;;;i?G0M,k^C)蟠kwtt:ݬwkފl6 lB?3Pv\CB@b'|2LONNvdـmz6 ~$1۶0rMM]IR%Iǭ,KbxjrFݖ4mYY@jupppzzz}}PXqS}9s!WW˽=7./.?Sr?BY!Z m8:9ཧQUi: %oBKekۄ,-L!Dt؞3vSLATlEzLQM)JHWVM)Z8׋URJ-TUi fl7m}? {nɹ<؛!ن m;n񇜞S5EbAVB~ N]E,F tm6k<6 (*sWS-W]˕d5mT &" \ۆh!D]6nHl:UaϿ,VuI)OOOd۬mF Bh-4Hv Y2%Q XE]^^BVXjZmq^gX|<>zm9 Vta@P ~j {]ܼW_x!D1<>{JS(q|Gl͛7પ`zvv춯_/w|a۶|!󬺮T~p B4͋ rh\v]g,ϳxTU%Jx<,kݞO>hooZ$BްW!BHG l?}u c*B<0fNʲ J*<At>1b@@]m۠u~oyzZ94;ｻXe>d1=Gv,˚я~~+8u`aHZkm2qY;ضE!`eض%ts)UB˺8j* )erL0?s8}tVjz ?/0Ƈ ?u'eY__u̴;[_[-;l!vx<- w:@ݿ{xx HB+E!r”TUگOVUTZk`0H*@ض)ygg?( xA~"`tcd Foo&KX(fD)Bx^"J*%TaZbo|LqQZIENDB`PyMca5-5.2.2/PyMca5/PyMcaData/EXAFS_Cu.dat0000644000276300001750000006651513136054446017636 0ustar solebliss00000000000000#F D:/Cu-EXAFS.dat #D Mon Jun 04 14:15:57 2012 #S 1 cu.dat 1.1 Column 2 #D Mon Jun 04 14:15:57 2012 #N 2 #L Column 1 Column 2 8002.894 0.5249888 8007.32 0.5236315 8011.75 0.5225714 8016.183 0.5218208 8020.621 0.5207962 8025.062 0.5200812 8029.507 0.5189023 8033.955 0.518247 8038.408 0.5174832 8042.862 0.5163729 8047.322 0.5156916 8051.784 0.5147099 8056.249 0.5140327 8060.717 0.5130494 8100.171 0.5058498 8145.276 0.4974594 8190.697 0.4893574 8236.507 0.4815498 8282.821 0.4740914 8329.766 0.4664946 8377.449 0.4588794 8425.936 0.451215 8475.238 0.4437138 8525.308 0.4360756 8576.049 0.4284512 8576.304 0.4284365 8576.56 0.4283843 8576.814 0.4282949 8577.069 0.4282861 8577.325 0.4283102 8577.579 0.4283116 8577.836 0.4282802 8578.09 0.4282368 8578.347 0.4282321 8578.601 0.4281985 8578.856 0.4281856 8579.112 0.4280165 8579.367 0.428111 8579.624 0.4280418 8579.878 0.4281375 8580.134 0.4280752 8580.39 0.4280996 8580.645 0.4280889 8580.9 0.4281009 8581.156 0.4280057 8581.411 0.4278349 8581.667 0.427756 8581.922 0.4277539 8582.178 0.4276694 8582.433 0.427461 8582.688 0.4274982 8582.943 0.4273823 8583.2 0.4274152 8583.455 0.4273388 8583.711 0.4273756 8583.966 0.4272783 8584.222 0.4272597 8584.478 0.4271484 8584.733 0.4272674 8584.989 0.4270131 8585.245 0.427358 8585.501 0.4273539 8585.757 0.4273249 8586.012 0.4270785 8586.269 0.4268913 8586.523 0.4269325 8586.779 0.4271896 8587.035 0.4272136 8587.291 0.4273095 8587.547 0.4273235 8587.802 0.427208 8588.059 0.4271069 8588.313 0.4271477 8588.569 0.4271724 8588.826 0.4269993 8589.081 0.4270321 8589.337 0.4270093 8590.104 0.4269061 8592.666 0.4265189 8595.227 0.4261186 8597.79 0.4256906 8600.354 0.4253151 8600.481 0.4253406 8600.738 0.4252528 8600.994 0.4251855 8601.251 0.4252552 8601.508 0.4251225 8601.764 0.4251553 8602.021 0.4250227 8602.277 0.425074 8602.534 0.4249597 8602.79 0.4249927 8603.047 0.4248601 8603.304 0.4249195 8603.56 0.4247155 8603.816 0.4247934 8604.073 0.4247711 8604.33 0.4246939 8604.587 0.4247267 8604.844 0.4246495 8605.1 0.4245803 8605.356 0.4246681 8605.613 0.4246543 8605.87 0.4246136 8606.127 0.4245467 8606.384 0.4245429 8606.642 0.4244945 8606.897 0.4244171 8607.153 0.4244868 8607.411 0.4243261 8607.668 0.4242957 8607.925 0.4243024 8608.182 0.4242068 8608.438 0.4240932 8608.694 0.4241811 8608.951 0.4240958 8609.208 0.4240718 8609.465 0.4240028 8609.723 0.4240359 8609.979 0.4239772 8610.236 0.4239633 8610.493 0.4239617 8610.75 0.4238825 8611.008 0.4238892 8611.263 0.4237675 8611.521 0.423654 8611.777 0.4237705 8612.035 0.4236228 8616.663 0.4230305 8621.811 0.4222323 8626.963 0.4214732 8632.118 0.420785 8637.279 0.4200108 8642.443 0.4193673 8647.612 0.418664 8652.786 0.417765 8657.964 0.4169372 8663.146 0.4162114 8668.331 0.4155076 8673.521 0.414727 8678.715 0.4141129 8683.912 0.4132699 8689.113 0.4126185 8694.318 0.4119003 8699.527 0.4111162 8704.739 0.4103368 8709.956 0.4097188 8715.176 0.4090274 8720.399 0.4082357 8725.628 0.4075502 8730.859 0.4067771 8736.095 0.4060899 8741.333 0.4054607 8746.576 0.4047494 8751.824 0.4040345 8757.075 0.4033779 8757.206 0.4033448 8757.468 0.4033008 8757.731 0.4031909 8757.994 0.4032325 8758.256 0.4032325 8758.521 0.4031056 8758.782 0.4031666 8759.045 0.4031228 8759.308 0.4030716 8759.57 0.402908 8759.833 0.4029009 8760.096 0.402918 8760.359 0.4028522 8760.621 0.4028936 8760.885 0.4027767 8761.147 0.4027693 8761.41 0.4027181 8761.674 0.4026842 8761.935 0.4027012 8762.199 0.4026602 8762.461 0.4026016 8762.725 0.4025409 8762.987 0.4024825 8763.25 0.4024655 8763.513 0.4024219 8763.775 0.4022929 8764.039 0.4023005 8764.302 0.4023663 8764.564 0.4022304 8764.827 0.4022985 8765.091 0.402189 8765.353 0.4023426 8765.615 0.4021457 8765.879 0.4021726 8766.142 0.4021387 8766.405 0.4020976 8766.668 0.4020466 8766.932 0.4021245 8767.194 0.4020227 8767.458 0.4019718 8767.72 0.4019721 8767.983 0.401841 8770.614 0.4016733 8773.247 0.4013295 8775.88 0.4008462 8778.515 0.4005984 8781.15 0.4002286 8781.282 0.4001696 8781.547 0.4000688 8781.81 0.4001271 8782.073 0.4000963 8782.337 0.4000992 8782.601 0.4000226 8782.864 0.3999892 8783.127 0.4000066 8783.392 0.3998962 8783.654 0.3998365 8783.919 0.3998467 8784.183 0.3997386 8784.446 0.3997706 8784.71 0.3997855 8784.974 0.3996535 8785.237 0.3998133 8785.501 0.3996643 8785.766 0.3995541 8786.029 0.3995957 8786.292 0.3996397 8786.557 0.399498 8786.821 0.3995564 8787.085 0.3993717 8787.349 0.3994637 8787.612 0.3992958 8787.876 0.3993301 8788.14 0.3992273 8788.403 0.399329 8788.668 0.3992453 8788.932 0.3992292 8789.196 0.3992634 8789.46 0.3990957 8789.724 0.3990555 8789.987 0.3990057 8790.252 0.3989196 8790.516 0.3990405 8790.78 0.3989573 8791.044 0.3989145 8791.308 0.3987398 8791.571 0.3986731 8791.836 0.3985996 8792.101 0.3987685 8793.552 0.3985118 8797.516 0.3980725 8801.481 0.3974728 8805.451 0.3971331 8809.421 0.3965805 8813.396 0.3960565 8817.374 0.3956318 8821.353 0.3951189 8825.336 0.3947386 8829.321 0.3941493 8833.311 0.3937088 8837.303 0.3930958 8841.298 0.3926783 8845.296 0.3922836 8849.299 0.3918999 8853.303 0.3914784 8857.311 0.3910068 8861.324 0.390491 8865.339 0.3901307 8869.358 0.3896419 8873.381 0.3892525 8877.406 0.3889619 8881.438 0.3884693 8885.471 0.3881655 8889.508 0.3878311 8893.55 0.3875303 8897.597 0.3870862 8901.646 0.3868619 8905.701 0.3865654 8909.758 0.3863341 8913.82 0.3861934 8917.888 0.3859483 8921.96 0.3859503 8926.035 0.3858188 8930.115 0.3858696 8934.2 0.3860282 8938.29 0.3862608 8938.836 0.3864349 8940.883 0.3866715 8942.932 0.3870033 8944.979 0.387192 8947.03 0.3877359 8949.082 0.3881717 8951.135 0.3887879 8953.188 0.3896388 8953.326 0.3897751 8953.6 0.3898505 8953.874 0.3899644 8954.146 0.3900147 8954.423 0.3901763 8954.697 0.3903057 8954.971 0.3905057 8955.244 0.3906286 8955.519 0.3906947 8955.793 0.3908086 8956.066 0.3910744 8956.341 0.3912358 8956.615 0.3913338 8956.89 0.3915336 8957.164 0.3917108 8957.437 0.3918561 8957.713 0.392113 8957.986 0.3922266 8958.261 0.3923723 8958.536 0.3926129 8958.81 0.3927652 8959.084 0.3930219 8959.358 0.3932944 8959.634 0.3934812 8959.907 0.3937378 8960.183 0.3939722 8960.457 0.3941177 8960.731 0.3944382 8961.005 0.3946314 8961.279 0.3949199 8961.555 0.3951292 8961.829 0.3954656 8962.104 0.3958248 8962.379 0.3960817 8962.654 0.3962911 8962.929 0.396771 8963.203 0.3970028 8963.479 0.397276 8963.753 0.3976539 8964.028 0.3979272 8964.302 0.3982255 8964.577 0.3985786 8964.854 0.399107 8965.126 0.3994758 8965.402 0.3999889 8965.677 0.4003327 8965.952 0.4009032 8966.228 0.4013138 8966.503 0.401914 8966.777 0.4024435 8967.052 0.4028934 8967.327 0.4034875 8967.603 0.4040497 8967.878 0.4047085 8968.153 0.4054062 8968.429 0.4060082 8968.703 0.4066355 8968.979 0.4074724 8969.254 0.4081555 8969.528 0.4090507 8969.805 0.409889 8970.079 0.4108406 8970.354 0.4116963 8970.63 0.4127138 8970.905 0.4137232 8971.181 0.4148071 8971.457 0.415973 8971.732 0.4171889 8972.007 0.4186331 8972.283 0.4199424 8972.559 0.4213251 8972.834 0.4230776 8973.109 0.4247253 8973.384 0.4266207 8973.66 0.4285032 8973.937 0.4306514 8974.213 0.4329617 8974.488 0.4356467 8974.764 0.4383385 8975.039 0.4413854 8975.315 0.4447642 8975.591 0.4485911 8975.866 0.4528653 8976.142 0.4579183 8976.418 0.4632914 8976.694 0.4695695 8976.971 0.4768403 8977.246 0.4855136 8977.522 0.4960385 8977.797 0.5081937 8978.074 0.5229037 8978.35 0.5410136 8978.626 0.5634328 8978.901 0.5923289 8979.178 0.6275938 8979.454 0.671039 8979.729 0.7264798 8980.006 0.7947653 8980.283 0.879519 8980.56 0.9748746 8980.835 1.080868 8981.11 1.193872 8981.388 1.303977 8981.664 1.410339 8981.94 1.498387 8982.217 1.568111 8982.492 1.619171 8982.77 1.651143 8983.045 1.668186 8983.322 1.67319 8983.598 1.670749 8983.875 1.663615 8984.151 1.655194 8984.429 1.648006 8984.704 1.644611 8984.98 1.646567 8985.258 1.654574 8985.535 1.668721 8985.811 1.688981 8986.087 1.713222 8986.364 1.740571 8986.641 1.769836 8986.917 1.800013 8987.195 1.830328 8987.473 1.859468 8987.748 1.889266 8988.024 1.920627 8988.302 1.953865 8988.579 1.989283 8988.854 2.026803 8989.132 2.066449 8989.409 2.110703 8989.687 2.157959 8989.963 2.210173 8990.241 2.263403 8990.518 2.321083 8990.795 2.381135 8991.072 2.444279 8991.349 2.510028 8991.626 2.573843 8991.903 2.639534 8992.18 2.705535 8992.457 2.771694 8992.735 2.835429 8993.012 2.89252 8993.288 2.949837 8993.566 3.001288 8993.844 3.046998 8994.122 3.087652 8994.399 3.117243 8994.675 3.140208 8994.953 3.156743 8995.23 3.165836 8995.509 3.165415 8995.785 3.15624 8996.063 3.147644 8996.342 3.130107 8996.617 3.109306 8996.896 3.087536 8997.173 3.065324 8997.451 3.042392 8997.729 3.018211 8998.007 2.996118 8998.284 2.975632 8998.563 2.957396 8998.839 2.943389 8999.117 2.930398 8999.396 2.920997 8999.674 2.916455 8999.951 2.914693 9000.229 2.916338 9000.506 2.923376 9000.784 2.933669 9001.062 2.948675 9001.34 2.96699 9001.618 2.98744 9001.897 3.012396 9002.175 3.039438 9002.453 3.068918 9002.73 3.096709 9003.008 3.124087 9003.287 3.150747 9003.564 3.174077 9003.844 3.191875 9004.122 3.203609 9004.401 3.209324 9004.678 3.210978 9004.956 3.205565 9005.234 3.195006 9005.513 3.181499 9005.792 3.162553 9006.069 3.142458 9006.35 3.119543 9006.627 3.096911 9006.905 3.074783 9007.184 3.052691 9007.462 3.031955 9007.741 3.011644 9008.02 2.991952 9008.299 2.975952 9008.576 2.959886 9008.855 2.944306 9009.134 2.929843 9009.412 2.914308 9009.69 2.901043 9009.969 2.885977 9010.248 2.873458 9010.527 2.861649 9010.806 2.847792 9011.085 2.836903 9011.363 2.826335 9011.643 2.817797 9011.922 2.810233 9012.2 2.804271 9012.479 2.800103 9012.759 2.796892 9013.038 2.796108 9013.315 2.796287 9013.597 2.798174 9013.874 2.799566 9014.153 2.802327 9014.434 2.806065 9014.711 2.809894 9014.991 2.814287 9015.27 2.819836 9015.55 2.825238 9015.828 2.830566 9016.108 2.837565 9016.387 2.844509 9016.667 2.85231 9016.947 2.860564 9017.225 2.869151 9017.505 2.879311 9017.784 2.888437 9018.763 2.929258 9019.74 2.972758 9020.719 3.017536 9021.697 3.060015 9022.678 3.100506 9023.657 3.139866 9024.638 3.176523 9025.618 3.205176 9026.598 3.221362 9027.578 3.221683 9028.56 3.202403 9029.542 3.168515 9030.522 3.127135 9031.505 3.082111 9032.487 3.037455 9033.471 2.99659 9034.454 2.963425 9035.437 2.938926 9036.42 2.921733 9037.405 2.911642 9038.389 2.908655 9039.372 2.911822 9040.358 2.919837 9041.344 2.930373 9042.329 2.941385 9043.314 2.950625 9044.3 2.954915 9045.287 2.952504 9046.273 2.948876 9047.261 2.946483 9048.248 2.948045 9049.235 2.955837 9050.224 2.968523 9051.212 2.981804 9052.201 2.992521 9053.189 2.999899 9054.179 3.002068 9055.169 3.002769 9056.158 3.002841 9057.148 3.008686 9058.139 3.019699 9059.129 3.03339 9060.12 3.049927 9061.112 3.067277 9062.104 3.082877 9063.096 3.096183 9064.088 3.10511 9065.081 3.114847 9066.073 3.125115 9067.066 3.135619 9068.06 3.147713 9069.055 3.16282 9070.048 3.178078 9071.043 3.193528 9072.037 3.20628 9073.031 3.214532 9074.027 3.21688 9075.023 3.212257 9076.019 3.201274 9077.016 3.184394 9078.012 3.162789 9079.01 3.141276 9080.007 3.113785 9081.004 3.089346 9082.002 3.066678 9083 3.04381 9083.998 3.022952 9084.997 3.00396 9085.996 2.986064 9086.996 2.970591 9087.995 2.958768 9088.995 2.950525 9089.996 2.944005 9090.995 2.936195 9091.997 2.925727 9092.999 2.911789 9094 2.893466 9095.002 2.874466 9096.005 2.854958 9097.007 2.838273 9098.01 2.823626 9099.013 2.814143 9100.016 2.80921 9101.02 2.809734 9102.023 2.814981 9103.028 2.824328 9104.033 2.83759 9105.037 2.853973 9106.043 2.871631 9107.048 2.890495 9108.055 2.908499 9109.06 2.925674 9110.066 2.941887 9110.211 2.945434 9110.499 2.948531 9110.785 2.953124 9111.074 2.956863 9111.361 2.959908 9111.648 2.963161 9111.937 2.966423 9112.224 2.970096 9112.512 2.972578 9112.8 2.975267 9113.088 2.977244 9113.375 2.979541 9113.664 2.982565 9113.952 2.983947 9114.239 2.985156 9114.527 2.987063 9114.815 2.987433 9115.104 2.989053 9115.392 2.989744 9115.681 2.991047 9115.968 2.990922 9116.256 2.991206 9116.544 2.990673 9116.832 2.991249 9117.12 2.99092 9117.408 2.990912 9117.697 2.991283 9117.984 2.990459 9118.273 2.990742 9118.562 2.990414 9118.851 2.990174 9119.139 2.990573 9119.427 2.990449 9119.716 2.990732 9120.004 2.990608 9120.293 2.991387 9120.581 2.992398 9120.868 2.992069 9121.157 2.99419 9121.447 2.995905 9121.736 2.996804 9122.023 2.998318 9122.744 3.005399 9123.756 3.018985 9123.901 3.02103 9124.189 3.025734 9124.478 3.030128 9124.767 3.035846 9125.056 3.042638 9125.345 3.049382 9125.633 3.055829 9125.923 3.062348 9126.211 3.070324 9126.5 3.078362 9126.79 3.085346 9127.078 3.093151 9127.368 3.102053 9127.655 3.10979 9127.945 3.116302 9128.235 3.124945 9128.524 3.133059 9128.813 3.141272 9129.103 3.14809 9129.391 3.156288 9129.68 3.162518 9129.97 3.168265 9130.26 3.174324 9130.549 3.180523 9130.838 3.184892 9131.127 3.189314 9131.417 3.195356 9131.706 3.197538 9131.996 3.200761 9132.285 3.203599 9132.574 3.206194 9132.865 3.209552 9133.154 3.209378 9133.444 3.211734 9133.733 3.211813 9134.023 3.211386 9134.313 3.211357 9135.326 3.208819 9136.487 3.204103 9137.645 3.194428 9138.806 3.183764 9139.964 3.170374 9141.126 3.156726 9142.287 3.139268 9143.449 3.119815 9144.611 3.096688 9145.772 3.071558 9146.936 3.043884 9148.098 3.015079 9149.262 2.984711 9150.425 2.952893 9151.589 2.922102 9152.754 2.890396 9153.92 2.858823 9155.083 2.828652 9156.25 2.80079 9157.416 2.775996 9158.582 2.75625 9159.749 2.742003 9160.916 2.734737 9162.085 2.733941 9163.251 2.739655 9164.42 2.75233 9165.589 2.769688 9166.758 2.791029 9167.926 2.815951 9169.097 2.84172 9170.267 2.867212 9171.437 2.889872 9172.607 2.909915 9173.779 2.926933 9174.95 2.939865 9176.121 2.948524 9177.294 2.955205 9178.467 2.958317 9179.64 2.958825 9180.813 2.957587 9181.986 2.954998 9183.16 2.950299 9184.335 2.947157 9185.51 2.943728 9186.685 2.941182 9187.859 2.939296 9189.035 2.937522 9190.212 2.936049 9191.389 2.934094 9192.565 2.932251 9193.742 2.929636 9194.92 2.924516 9196.098 2.920356 9197.276 2.916399 9198.453 2.912647 9199.633 2.913224 9200.812 2.916493 9201.991 2.924049 9203.172 2.934585 9204.353 2.948059 9205.531 2.964057 9206.713 2.980502 9207.895 2.995898 9209.075 3.007558 9210.257 3.015586 9211.439 3.0213 9212.622 3.023369 9213.805 3.024181 9214.986 3.022851 9216.172 3.020501 9217.355 3.016528 9218.539 3.011472 9219.724 3.004491 9220.908 2.996707 9222.093 2.985517 9223.279 2.974068 9224.466 2.960916 9225.65 2.946722 9226.836 2.929646 9228.023 2.914723 9229.211 2.898742 9230.397 2.881371 9231.585 2.865406 9232.772 2.849895 9233.962 2.836905 9235.15 2.822658 9236.339 2.811536 9237.528 2.801807 9238.718 2.793748 9239.906 2.788564 9241.098 2.784372 9242.288 2.78308 9243.479 2.782729 9244.669 2.78409 9245.86 2.786786 9247.052 2.788725 9248.243 2.791038 9249.436 2.793123 9250.629 2.793664 9251.82 2.794065 9253.015 2.795345 9254.208 2.795493 9255.402 2.796288 9256.595 2.797498 9257.79 2.798779 9258.983 2.801523 9260.18 2.802228 9261.373 2.802862 9262.569 2.805939 9263.766 2.808043 9264.96 2.810478 9266.155 2.813972 9267.353 2.817829 9268.55 2.821934 9269.747 2.825153 9270.943 2.829023 9272.142 2.832333 9273.338 2.836059 9274.537 2.838643 9275.734 2.840801 9276.935 2.842529 9278.133 2.844619 9279.332 2.846521 9280.532 2.848087 9281.73 2.850184 9282.931 2.850906 9284.132 2.851479 9285.331 2.853655 9286.532 2.853867 9287.734 2.856143 9288.936 2.856354 9290.137 2.858025 9291.339 2.859015 9292.54 2.860176 9293.743 2.861093 9294.945 2.860888 9296.148 2.862659 9297.352 2.862699 9298.555 2.863177 9299.757 2.862191 9300.961 2.861741 9302.165 2.8583 9303.37 2.854873 9304.575 2.849605 9305.779 2.845446 9306.983 2.840161 9308.188 2.83415 9309.395 2.829734 9310.601 2.822574 9311.807 2.818469 9313.012 2.81089 9314.221 2.806518 9315.426 2.799766 9316.633 2.7937 9317.841 2.788551 9319.049 2.784041 9320.257 2.779017 9321.464 2.774954 9322.672 2.772326 9323.88 2.769203 9325.088 2.767983 9326.297 2.7658 9327.507 2.765423 9328.717 2.764344 9329.925 2.762873 9331.136 2.761798 9332.346 2.760199 9333.556 2.758584 9334.766 2.755754 9335.977 2.751806 9337.188 2.746887 9338.398 2.743279 9339.61 2.737893 9340.822 2.73305 9342.034 2.727347 9343.246 2.723461 9344.458 2.719803 9345.67 2.717831 9346.882 2.71559 9348.096 2.71523 9349.31 2.715598 9350.523 2.715984 9351.735 2.716935 9352.949 2.717677 9354.164 2.718127 9355.379 2.718577 9356.592 2.718589 9357.808 2.718601 9359.022 2.718659 9360.237 2.718544 9361.452 2.719659 9362.667 2.720464 9363.883 2.721287 9364.188 2.721737 9364.491 2.72175 9364.796 2.721597 9365.1 2.722047 9365.403 2.721685 9365.708 2.721697 9366.011 2.721336 9366.315 2.722351 9366.619 2.722509 9366.924 2.722357 9367.228 2.723017 9367.531 2.723093 9367.836 2.723525 9368.14 2.723244 9368.444 2.723612 9368.748 2.723834 9369.052 2.724056 9369.356 2.724278 9369.66 2.724418 9369.965 2.724576 9370.27 2.724945 9370.573 2.724874 9370.877 2.724804 9371.182 2.725172 9371.486 2.725184 9371.792 2.72526 9372.095 2.725564 9372.398 2.72585 9372.704 2.725926 9373.007 2.726422 9373.313 2.726059 9373.617 2.72672 9373.921 2.726732 9374.226 2.727082 9374.53 2.726509 9374.833 2.727527 9375.138 2.728023 9375.444 2.728017 9375.747 2.727799 9376.052 2.728168 9376.356 2.728014 9376.661 2.728091 9376.966 2.728312 9377.27 2.728471 9377.575 2.728235 9377.879 2.728731 9378.185 2.728789 9378.488 2.728425 9378.793 2.728921 9379.098 2.730088 9379.401 2.729393 9379.707 2.730036 9380.011 2.730304 9380.316 2.729476 9380.62 2.730047 9380.926 2.730592 9381.229 2.730711 9381.534 2.730419 9381.839 2.730334 9382.144 2.73041 9382.448 2.731576 9382.753 2.731238 9383.059 2.730938 9383.362 2.73128 9383.669 2.731329 9383.973 2.730965 9384.276 2.730774 9384.582 2.731583 9384.888 2.731154 9385.191 2.731625 9385.496 2.73181 9385.803 2.731291 9386.107 2.731769 9386.259 2.731953 9387.784 2.732561 9389.309 2.731747 9390.834 2.731474 9392.359 2.731815 9393.886 2.730984 9395.412 2.730173 9396.938 2.729956 9398.466 2.728412 9399.993 2.727823 9401.521 2.725582 9403.048 2.724018 9404.576 2.721453 9406.104 2.718988 9407.634 2.715823 9409.162 2.711572 9410.691 2.708416 9412.221 2.704032 9413.752 2.700306 9415.282 2.69599 9416.812 2.691164 9418.343 2.686607 9419.876 2.682818 9421.406 2.679737 9422.938 2.677399 9424.471 2.674861 9426.004 2.672744 9427.536 2.671494 9429.069 2.670426 9430.604 2.6689 9432.137 2.666979 9433.67 2.666123 9435.206 2.665387 9436.741 2.664 9438.275 2.662633 9439.81 2.661118 9441.346 2.659623 9442.882 2.656891 9444.418 2.654928 9445.955 2.652786 9447.492 2.650211 9449.03 2.647973 9450.566 2.644774 9452.105 2.642743 9453.643 2.639411 9455.183 2.636798 9456.723 2.634703 9458.261 2.632846 9459.801 2.631613 9461.34 2.629725 9462.88 2.628313 9464.421 2.627073 9465.962 2.626006 9467.504 2.624537 9469.045 2.622845 9470.587 2.621518 9472.129 2.619834 9473.671 2.61881 9475.214 2.618229 9476.758 2.617165 9478.302 2.616074 9479.845 2.615624 9481.389 2.614866 9482.933 2.614514 9484.478 2.614376 9486.025 2.614276 9487.57 2.614082 9489.116 2.614454 9490.663 2.614499 9492.209 2.615379 9493.756 2.61517 9495.303 2.61547 9496.852 2.61546 9498.399 2.615195 9499.948 2.614661 9501.497 2.614961 9503.045 2.61535 9504.595 2.615343 9506.146 2.615352 9507.695 2.614718 9509.247 2.614653 9510.798 2.613803 9512.348 2.612885 9513.9 2.611463 9514.056 2.611736 9514.367 2.611472 9514.677 2.610471 9514.988 2.610825 9515.297 2.610506 9515.607 2.609821 9515.919 2.610146 9516.229 2.609747 9516.539 2.608968 9516.851 2.608972 9517.161 2.608552 9517.472 2.608556 9517.782 2.608167 9518.093 2.607551 9518.403 2.606808 9518.712 2.606416 9519.023 2.606587 9519.335 2.605853 9519.646 2.604827 9519.956 2.6042 9520.267 2.604247 9520.578 2.604253 9520.888 2.603661 9521.198 2.603176 9521.51 2.602791 9521.821 2.601941 9522.131 2.601073 9522.442 2.600945 9522.752 2.600654 9523.065 2.600121 9523.375 2.599603 9523.686 2.599613 9523.996 2.598589 9524.307 2.598022 9524.618 2.597693 9524.93 2.59683 9525.241 2.596641 9525.551 2.595809 9525.863 2.595491 9526.173 2.594516 9526.483 2.594327 9526.796 2.593349 9527.106 2.593532 9527.419 2.592556 9527.728 2.592965 9528.039 2.591614 9529.596 2.588455 9531.151 2.586142 9532.708 2.5845 9534.265 2.581263 9535.82 2.579335 9535.977 2.578886 9536.289 2.578984 9536.601 2.578611 9536.913 2.578268 9537.225 2.577531 9537.535 2.577915 9537.848 2.577141 9538.158 2.576715 9538.47 2.576305 9538.782 2.575774 9539.094 2.575605 9539.406 2.574939 9539.717 2.574757 9540.029 2.574415 9540.34 2.573654 9540.652 2.573641 9540.965 2.572991 9541.275 2.572481 9541.589 2.572531 9541.9 2.572537 9542.212 2.571715 9542.523 2.571318 9542.835 2.5709 9543.147 2.570887 9543.459 2.570124 9543.771 2.570251 9544.083 2.570151 9544.395 2.569638 9544.706 2.569256 9545.018 2.568697 9545.331 2.56742 9545.643 2.568145 9545.955 2.567935 9546.267 2.568161 9546.579 2.567793 9546.892 2.567393 9547.202 2.566629 9547.515 2.566077 9547.826 2.56635 9549.076 2.564996 9550.95 2.563506 9552.823 2.561567 9554.698 2.559923 9556.573 2.558667 9558.45 2.557059 9560.326 2.555245 9562.204 2.554156 9564.082 2.552279 9565.961 2.55057 9567.84 2.548528 9569.719 2.54653 9571.6 2.544914 9573.481 2.542534 9575.364 2.54165 9577.247 2.539505 9579.128 2.537815 9581.014 2.53634 9582.897 2.53411 9584.783 2.531821 9586.67 2.529626 9588.556 2.528416 9590.444 2.526664 9592.332 2.525759 9594.22 2.523718 9596.11 2.522179 9598.001 2.521489 9599.891 2.520005 9601.782 2.518413 9603.676 2.517621 9605.569 2.516724 9607.463 2.515633 9609.357 2.514336 9611.252 2.513418 9613.148 2.512676 9615.046 2.511308 9616.944 2.510622 9618.842 2.509058 9620.743 2.508642 9622.643 2.507519 9624.543 2.506836 9626.446 2.505614 9628.348 2.504106 9630.251 2.504027 9632.155 2.50279 9634.061 2.50131 9635.966 2.500212 9637.873 2.499006 9639.78 2.498456 9641.688 2.496459 9643.597 2.495301 9645.508 2.492892 9647.418 2.492069 9649.331 2.49072 9651.243 2.488966 9653.156 2.487112 9655.07 2.485717 9656.985 2.484244 9658.903 2.482879 9660.819 2.480958 9662.737 2.479245 9664.655 2.477157 9666.575 2.475451 9666.736 2.474906 9667.055 2.47449 9667.377 2.474186 9667.695 2.474076 9668.015 2.473683 9668.336 2.473329 9668.655 2.472762 9668.977 2.472599 9669.296 2.472422 9669.617 2.472323 9669.938 2.472477 9670.259 2.472256 9670.577 2.471718 9670.897 2.471168 9671.219 2.470817 9671.539 2.47042 9671.859 2.470222 9672.179 2.470224 9672.5 2.469675 9672.82 2.469384 9673.141 2.469211 9673.461 2.469013 9673.782 2.468348 9674.104 2.467578 9674.425 2.467183 9674.745 2.466788 9675.064 2.466031 9675.385 2.46573 9675.706 2.465966 9676.026 2.466061 9676.348 2.465516 9676.669 2.465646 9676.99 2.465823 9677.31 2.465732 9677.631 2.465536 9677.952 2.465561 9678.272 2.46589 9678.595 2.465018 9678.916 2.464985 9679.236 2.464894 9679.558 2.46407 9679.877 2.464386 9680.199 2.463609 9680.52 2.46353 9680.841 2.462974 9681.163 2.462628 9681.483 2.462491 9681.806 2.462412 9682.126 2.461857 9682.448 2.461767 9682.769 2.461677 9683.09 2.461436 9683.411 2.460881 9683.732 2.460432 9684.055 2.460655 9684.375 2.460206 9684.698 2.459837 9685.019 2.459689 9685.341 2.459067 9685.662 2.459463 9685.983 2.458981 9686.305 2.458856 9686.626 2.458246 9686.947 2.457995 9687.269 2.458021 9687.593 2.457527 9687.913 2.457125 9688.235 2.456792 9688.557 2.456645 9688.878 2.456348 9689.201 2.455625 9689.522 2.455638 9689.844 2.454892 9690.165 2.454573 9690.488 2.454391 9690.811 2.454142 9691.132 2.453902 9691.454 2.453402 9691.775 2.453832 9692.098 2.453674 9692.419 2.453401 9692.742 2.452566 9693.064 2.45211 9693.387 2.452299 9693.709 2.452406 9694.031 2.451962 9694.354 2.451092 9694.675 2.451141 9694.998 2.450619 9695.32 2.450611 9695.643 2.449757 9695.965 2.449898 9696.288 2.449534 9696.609 2.449115 9696.933 2.449131 9697.256 2.448666 9697.577 2.448327 9697.901 2.448593 9698.223 2.448482 9698.545 2.44811 9698.868 2.447931 9699.19 2.447331 9699.514 2.447517 9699.836 2.446986 9700.16 2.446864 9700.48 2.446605 9700.804 2.446472 9701.127 2.445987 9701.449 2.446229 9701.773 2.446121 9702.096 2.445488 9702.419 2.445584 9702.741 2.445792 9703.064 2.445057 9703.388 2.444879 9703.711 2.444395 9704.034 2.444535 9704.356 2.444051 9704.681 2.443805 9705.003 2.443616 9705.325 2.443167 9705.649 2.443114 9705.972 2.442653 9706.297 2.442329 9706.619 2.442208 9706.942 2.441828 9707.266 2.441696 9707.589 2.441315 9707.913 2.441286 9708.235 2.440973 9708.56 2.441169 9708.884 2.440417 9709.207 2.43998 9709.531 2.440334 9709.854 2.439797 9710.178 2.439575 9710.501 2.43879 9710.824 2.438761 9711.148 2.438641 9711.473 2.438454 9711.796 2.438132 9712.12 2.438203 9712.443 2.437645 9712.767 2.437604 9713.091 2.437418 9713.414 2.437287 9713.739 2.436291 9714.063 2.436261 9714.387 2.436075 9714.71 2.435889 9715.033 2.435601 9715.359 2.435236 9715.683 2.435678 9716.007 2.434662 9716.331 2.434846 9716.979 2.433992 9719.249 2.432492 9721.521 2.430417 9723.794 2.42897 9726.068 2.42726 9728.345 2.425335 9730.621 2.423978 9732.899 2.422601 9735.18 2.420899 9737.462 2.419202 9739.743 2.417334 9742.028 2.415361 9744.313 2.413274 9746.601 2.413217 9748.89 2.412519 9751.18 2.410779 9753.472 2.409316 9755.765 2.407975 9758.059 2.406896 9760.354 2.404723 9762.652 2.403556 9764.95 2.401745 9767.252 2.400688 9769.554 2.399386 9771.857 2.398079 9774.161 2.395976 9776.469 2.394323 9778.777 2.39288 9781.085 2.39109 9783.396 2.389275 9785.709 2.388031 9788.023 2.386814 9790.339 2.385083 9792.656 2.383199 9794.975 2.382793 9797.295 2.380872 9799.615 2.37907 9801.938 2.37695 9804.264 2.37537 9806.591 2.373952 9808.918 2.371987 9811.248 2.370198 9813.579 2.369147 9815.91 2.366951 9818.244 2.365879 9820.58 2.364227 9822.919 2.362621 9825.257 2.360694 9827.597 2.358914 9828.1 2.358837 9830.774 2.356851 9833.454 2.354689 9836.136 2.352947 9838.817 2.35111 9841.503 2.348927 9844.189 2.347152 9846.879 2.345471 9849.57 2.343398 9852.264 2.341678 9854.958 2.339568 9857.655 2.337643 9860.354 2.335152 9863.055 2.333986 9865.759 2.332127 9868.464 2.330136 9871.171 2.328152 9873.88 2.326087 9876.592 2.324378 9879.305 2.322538 9882.021 2.320753 9884.737 2.31928 9887.456 2.317849 9890.179 2.315599 9892.901 2.314264 9895.627 2.312761 9898.354 2.31109 9901.083 2.309253 9903.814 2.307422 9906.549 2.306022 9909.283 2.304456 9912.02 2.302554 9914.759 2.300828 9917.5 2.298976 9920.244 2.297728 9922.989 2.295886 9925.735 2.29418 9928.483 2.292394 9931.235 2.290698 9933.987 2.289377 9936.741 2.287191 9939.499 2.285261 9942.257 2.28363 9945.018 2.281959 9947.778 2.279918 9950.543 2.278504 9953.309 2.276929 9956.076 2.275114 9958.846 2.273629 9961.617 2.271824 9964.391 2.270231 9967.165 2.26831 9969.943 2.266602 9972.721 2.264979 9975.502 2.263324 9978.284 2.262075 PyMca5-5.2.2/PyMca5/PyMcaMisc/0000755000276300001750000000000013205526235015651 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaMisc/PhysicalMemory.py0000644000276300001750000001150513136054446021175 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import ctypes import traceback def loadCLibrary(name="libc.so"): try: libc = ctypes.CDLL(name) except OSError: text = traceback.format_exc() if "invalid ELF header" in text: library = text.split(": ") if len(library) > 1: libraryFile = library[1] if os.path.exists(libraryFile): # to read some line f = open(libraryFile, 'r') for i in range(10): line = f.readline() if name in line: f.close() lineSplit = line.split(name) libraryFile = lineSplit[0].split()[-1] +\ name+\ lineSplit[1].split()[0] break libraryFile = line[line.index(libraryFile):].split()[0] libc = ctypes.CDLL(libraryFile) else: raise return libc if sys.platform == 'win32': class MEMORYSTATUSEX(ctypes.Structure): _fields_ = [ ("dwLength", ctypes.c_ulong), ("dwMemoryLoad", ctypes.c_ulong), ("ullTotalPhys", ctypes.c_ulonglong), ("ullAvailPhys", ctypes.c_ulonglong), ("ullTotalPageFile", ctypes.c_ulonglong), ("ullAvailPageFile", ctypes.c_ulonglong), ("ullTotalVirtual", ctypes.c_ulonglong), ("ullAvailVirtual", ctypes.c_ulonglong), ("sullAvailExtendedVirtual", ctypes.c_ulonglong), ] def __init__(self): # have to initialize this to the size of MEMORYSTATUSEX self.dwLength = ctypes.sizeof(self) super(MEMORYSTATUSEX, self).__init__() #print("MemoryLoad: %d%%" % (stat.dwMemoryLoad)) #print("Physical memory = %d" % stat.ullTotalPhys) #print(stat.ullAvailPhys) def getPhysicalMemory(): stat = MEMORYSTATUSEX() ctypes.windll.kernel32.GlobalMemoryStatusEx(ctypes.byref(stat)) return stat.ullTotalPhys elif sys.platform.startswith('linux'): def getPhysicalMemory(): return os.sysconf('SC_PAGESIZE') * os.sysconf('SC_PHYS_PAGES') elif sys.platform == 'darwin': def getPhysicalMemory(): libc = loadCLibrary("libc.dylib") memsize = ctypes.c_uint64(0) length = ctypes.c_size_t(ctypes.sizeof(memsize)) name = "hw.memsize" if hasattr(name, "encode"): # Passing a string was returning 0 memory size under Python 3.5 name = name.encode() libc.sysctlbyname(name, ctypes.byref(memsize), ctypes.byref(length), None, 0) return memsize.value else: def getPhysicalMemory(): return None def getPhysicalMemoryOrNone(): try: value = getPhysicalMemory() if value <= 0: # Value makes no sense. # return None as requested in case of failure print("WARNING: Returned physical memory does not make sense %d" % \ value) return None else: return value except: return None if __name__ == "__main__": print("Physical memory = %d" % getPhysicalMemory()) PyMca5-5.2.2/PyMca5/PyMcaMisc/__init__.py0000644000276300001750000000000013136054446017753 0ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/__init__.py0000644000276300001750000002027113173367502016143 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2017 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __version__ = "5.2.2" import os import sys from PyMca5.PyMcaDataDir import PYMCA_DATA_DIR try: from fisx.DataDir import FISX_DATA_DIR except ImportError: FISX_DATA_DIR = None DEBUG = 0 if sys.platform.startswith("win"): import ctypes from ctypes.wintypes import MAX_PATH try: # make sure hdf5plugins are imported when using PyMca import hdf5plugin except: # but at the same time do not disturb other people pass if os.path.exists(os.path.join(\ os.path.dirname(os.path.dirname(__file__)), 'py2app_setup.py')): raise ImportError('PyMca cannot be imported from source directory') def version(): return __version__ def getDefaultSettingsFile(): """ Return the path to the default settings file (PyMca.ini). The file itself may not exist, but this function tries to create the containing directory if not already created. """ filename = "PyMca.ini" if sys.platform == 'win32': # recipe based on: http://bugs.python.org/issue1763#msg62242 dll = ctypes.windll.shell32 buf = ctypes.create_unicode_buffer(MAX_PATH + 1) if dll.SHGetSpecialFolderPathW(None, buf, 0x0005, False): directory = buf.value else: # the above should have worked home = os.getenv('USERPROFILE') try: l = len(home) directory = os.path.join(home, "My Documents") except: home = '\\' directory = '\\' if os.path.isdir('%s' % directory): directory = os.path.join(directory, "PyMca") else: directory = os.path.join(home, "PyMca") if not os.path.exists('%s' % directory): os.mkdir('%s' % directory) finalfile = os.path.join(directory, filename) else: home = os.getenv('HOME') directory = os.path.join(home, "PyMca") if not os.path.exists('%s' % directory): os.mkdir('%s' % directory) finalfile = os.path.join(directory, filename) return finalfile def getDefaultUserPluginsDirectory(): """ Return the default directory to look for user defined plugins. The directory will be created if not existing. In case of error it returns None. """ try: settingsDir = os.path.dirname(getDefaultSettingsFile()) if os.path.exists(settingsDir): userPluginDir = os.path.join(settingsDir, "plugins") if not os.path.exists(userPluginDir): os.mkdir(userPluginDir) return userPluginDir else: return None except: print("WARNING: Cannot initialize plugis directory") return None def getUserDataFile(fileName, directory=""): """ Look for an alternative to the given filename in the default user data directory """ userDataDir = None try: settingsDir = os.path.dirname(getDefaultSettingsFile()) if os.path.exists(settingsDir): userDataDir = os.path.join(settingsDir, "data") if not os.path.exists(userDataDir): os.mkdir(userDataDir) except: print("WARNING: cannot initialize user data directory") if userDataDir is None: return fileName baseName = os.path.basename(fileName) if len(directory): userDataFile = os.path.join(userDataDir, directory, baseName) else: userDataFile = os.path.join(userDataDir, baseName) if os.path.exists(userDataFile): if DEBUG: print("Using user data file: %s" % userDataFile) return userDataFile else: if DEBUG: print("Using data file: %s" % fileName) return fileName def getDataFile(fileName, directory=None): """ Look for the provided file name in directories following the priority: 0 - The provided file 1 - User data directory (~/PyMca/PyMcaData) 2 - PyMca data directory (PyMcaDataDir.PYMCA_DATA_DIR) 3 - fisx data directory (fisx.DataDir.FISX_DATA_DIR) """ # return the input file name if exists if os.path.exists(fileName): if DEBUG: print("Filename as supplied <%s>" % newFileName) return fileName # the list of sub-directories where to look for the file if directory is None: directoryList = [""] else: directoryList = [directory, ""] # user for subdirectory in directoryList: newFileName = getUserDataFile(fileName, directory=subdirectory) if os.path.exists(newFileName): if DEBUG: print("Filename from user <%s>" % newFileName) return newFileName # PyMca for subdirectory in directoryList: newFileName = os.path.join(PYMCA_DATA_DIR, subdirectory, os.path.basename(fileName)) if os.path.exists(newFileName): if DEBUG: print("Filename from PyMca Data Directory <%s>" % newFileName) return newFileName # fisx if FISX_DATA_DIR is not None: for subdirectory in directoryList: newFileName = os.path.join(FISX_DATA_DIR, subdirectory, os.path.basename(fileName)) if os.path.exists(newFileName): if DEBUG: print("Filename from fisx Data Directory <%s>" % \ newFileName) return newFileName # file not found txt = "File not found: <%s>" % fileName if FISX_DATA_DIR is None: txt += " Please install fisx module (command 'pip install fisx [--user]')." raise IOError(txt) # workaround matplotlib MPLCONFIGDIR issues under windows if sys.platform.startswith("win"): try: #try to avoid matplotlib config dir problem under windows if os.getenv("MPLCONFIGDIR") is None: os.environ['MPLCONFIGDIR'] = os.path.dirname(getDefaultSettingsFile()) except: print("WARNING: Could not set MPLCONFIGDIR.", sys.exc_info()[1]) # mandatory modules for backwards compatibility from .PyMcaCore import Plugin1DBase, StackPluginBase, PyMcaDirs, DataObject #convenience modules that could be directly imported # using from PyMca5.PyMca import try: from .PyMcaIO import specfilewrapper, EdfFile, specfile, ConfigDict except: print("WARNING importing IO directly") from PyMcaIO import specfilewrapper, EdfFile, specfile, ConfigDict from .PyMcaMath.fitting import SpecfitFuns, Gefit, Specfit from .PyMcaMath.fitting import SpecfitFunctions from .PyMcaPhysics.xrf import Elements #all the rest can be imported using from PyMca5.PyMca import ... from . import PyMca PyMca5-5.2.2/PyMca5/PyMcaDataDir.py0000644000276300001750000000767013136054446016655 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os # this will be filled by the setup PYMCA_DATA_DIR = 'DATA_DIR_FROM_SETUP' # This is to be filled by the setup PYMCA_DOC_DIR = 'DOC_DIR_FROM_SETUP' # this is used in build directory if not os.path.exists(PYMCA_DATA_DIR): tmp_dir = os.path.dirname(os.path.abspath(__file__)) old_tmp_dir = tmp_dir + "dummy" basename = "PyMcaData" PYMCA_DATA_DIR = os.path.join(tmp_dir, "PyMca5", basename) while (len(PYMCA_DATA_DIR) > 20) and (tmp_dir != old_tmp_dir): if os.path.exists(PYMCA_DATA_DIR): break old_tmp_dir = tmp_dir tmp_dir = os.path.dirname(tmp_dir) PYMCA_DATA_DIR = os.path.join(tmp_dir, "PyMca5", basename) if not os.path.exists(PYMCA_DATA_DIR): PYMCA_DATA_DIR = os.getenv("PYMCA_DATA_DIR") if PYMCA_DATA_DIR is not None: if not os.path.exists(PYMCA_DATA_DIR): raise IOError('%s directory set from environent not found' % \ PYMCA_DATA_DIR) else: txt = "WARNING: Taking PYMCA_DATA_DIR from environement.\n" txt += "Use it at your own risk." print(txt) else: raise IOError('%s directory not found' % basename) # do the same for the directory containing HTML files if not os.path.exists(PYMCA_DOC_DIR): tmp_dir = os.path.dirname(os.path.abspath(__file__)) old_tmp_dir = tmp_dir + "dummy" basename = "PyMcaData" PYMCA_DOC_DIR = os.path.join(tmp_dir,basename) while (len(PYMCA_DOC_DIR) > 20) and (tmp_dir != old_tmp_dir): if os.path.exists(PYMCA_DOC_DIR): break old_tmp_dir = tmp_dir tmp_dir = os.path.dirname(tmp_dir) PYMCA_DOC_DIR = os.path.join(tmp_dir, "PyMca5", basename) if not os.path.exists(PYMCA_DOC_DIR): PYMCA_DOC_DIR = os.getenv("PYMCA_DOC_DIR") if PYMCA_DOC_DIR is not None: if not os.path.exists(PYMCA_DOC_DIR): raise IOError('%s directory set from environent not found' % \ PYMCA_DATA_DIR) else: txt = "WARNING: Taking PYMCA_DOC_DIR from environement.\n" txt += "Use it at your own risk." print(txt) else: # use the data dir as doc dir print("Setting PYMCA_DOC_DIR equal to PYMCA_DATA_DIR") PYMCA_DOC_DIR = PYMCA_DATA_DIR if not os.path.exists(PYMCA_DOC_DIR): raise IOError('%s documentation directory not found' % basename) PyMca5-5.2.2/PyMca5/EPDL97/0000755000276300001750000000000013205526235014730 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/EPDL97/EPDL97.DAT0000644000276300001750007324672013136054446016216 0ustar solebliss00000000000000 1000 7 0 1.007970+0 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.887553-6 1.059784-6 1.235246-5 1.126020-6 1.538627-5 1.196396-6 1.933495-5 1.271171-6 2.449127-5 1.350619-6 3.121326-5 1.392826-6 3.537646-5 1.481238-6 4.569015-5 1.575262-6 5.929956-5 1.727606-6 8.834929-5 1.894683-6 1.326150-4 2.048000-6 1.873294-4 2.209817-6 2.535444-4 2.278874-6 2.875153-4 2.423529-6 3.719583-4 2.577366-6 4.847814-4 2.740969-6 6.361175-4 2.914956-6 8.399473-4 3.072000-6 1.068768-3 3.196862-6 1.270922-3 3.296764-6 1.455758-3 3.399788-6 1.672152-3 3.506031-6 1.925436-3 3.615595-6 2.222455-3 3.728582-6 2.572967-3 4.089174-6 3.970629-3 4.216961-6 4.606550-3 4.348741-6 5.362783-3 4.484639-6 6.264931-3 4.624784-6 7.344783-3 4.918349-6 1.014920-2 5.072048-6 1.196269-2 5.224773-6 1.408552-2 5.516055-6 1.912926-2 5.654906-6 2.209738-2 5.789417-6 2.542495-2 5.919725-6 2.915895-2 6.168251-6 3.778053-2 6.286720-6 4.273283-2 6.401487-6 4.820047-2 6.512668-6 5.422655-2 6.620374-6 6.085293-2 6.724714-6 6.813173-2 6.923715-6 8.462333-2 7.018576-6 9.394256-2 7.110473-6 1.041230-1 7.285740-6 1.269674-1 7.369288-6 1.397874-1 7.450225-6 1.536647-1 7.528632-6 1.686477-1 7.604589-6 1.847748-1 7.678173-6 2.021023-1 7.749457-6 2.207290-1 7.818514-6 2.407503-1 7.885412-6 2.622354-1 8.013003-6 3.098524-1 8.073823-6 3.361805-1 8.132744-6 3.643648-1 8.189822-6 3.945704-1 8.245117-6 4.269049-1 8.352252-6 4.991215-1 8.452690-6 5.807595-1 8.552969-6 6.797026-1 8.635127-6 7.772269-1 8.717886-6 8.944214-1 8.795472-6 1.025914+0 8.868209-6 1.173025+0 8.936400-6 1.337205+0 9.000329-6 1.520026+0 9.060263-6 1.723103+0 9.116450-6 1.948114+0 9.169126-6 2.196855+0 9.218510-6 2.471239+0 9.264807-6 2.773250+0 9.308211-6 3.104934+0 9.348902-6 3.468414+0 9.387049-6 3.865914+0 9.422813-6 4.299759+0 9.456341-6 4.772360+0 9.487774-6 5.286219+0 9.517242-6 5.843938+0 9.544869-6 6.448256+0 9.570768-6 7.102088+0 9.595049-6 7.808598+0 9.617813-6 8.571286+0 9.639154-6 9.394113+0 9.659161-6 1.028166+1 9.677917-6 1.123925+1 9.695501-6 1.227308+1 9.711987-6 1.339011+1 9.727442-6 1.459789+1 9.741931-6 1.590413+1 9.755514-6 1.731615+1 9.768248-6 1.884027+1 9.780187-6 2.048117+1 9.802572-6 2.425525+1 9.822159-6 2.852550+1 9.839297-6 3.323382+1 9.854293-6 3.828498+1 9.867414-6 4.356202+1 9.878896-6 4.894212+1 9.897732-6 5.956359+1 9.953675-6 1.079827+2 9.968697-6 1.261386+2 9.983779-6 1.467710+2 9.996036-6 1.653085+2 1.000829-5 1.853760+2 1.003281-5 2.296195+2 1.003587-5 2.354802+2 1.005732-5 2.779687+2 1.006575-5 2.951201+2 1.008183-5 3.279700+2 1.009428-5 3.529781+2 1.010635-5 3.763755+2 1.011879-5 3.991598+2 1.013086-5 4.194604+2 1.014158-5 4.356719+2 1.015149-5 4.488576+2 1.015691-5 4.552509+2 1.017127-5 4.692053+2 1.018248-5 4.768264+2 1.019721-5 4.821890+2 1.020895-5 4.825796+2 1.021356-5 4.817859+2 1.022603-5 4.769980+2 1.023770-5 4.691419+2 1.025496-5 4.519426+2 1.026474-5 4.395265+2 1.027299-5 4.277383+2 1.028100-5 4.152545+2 1.029039-5 3.995090+2 1.030245-5 3.777973+2 1.031318-5 3.574434+2 1.032352-5 3.371779+2 1.033922-5 3.058090+2 1.035148-5 2.813164+2 1.036527-5 2.542510+2 1.037599-5 2.338338+2 1.040051-5 1.901986+2 1.040893-5 1.763753+2 1.042502-5 1.518664+2 1.044341-5 1.270148+2 1.046403-5 1.031656+2 1.049516-5 7.471749+1 1.052558-5 5.449680+1 1.054547-5 4.456947+1 1.055530-5 4.045834+1 1.056506-5 3.683133+1 1.058441-5 3.078704+1 1.060346-5 2.607512+1 1.062221-5 2.237911+1 1.064067-5 1.945265+1 1.065884-5 1.710780+1 1.067672-5 1.520346+1 1.069890-5 1.326865+1 1.071166-5 1.232424+1 1.072872-5 1.121476+1 1.074552-5 1.026401+1 1.076205-5 9.440388+0 1.079460-5 8.075337+0 1.082613-5 7.001098+0 1.085667-5 6.134893+0 1.088626-5 5.422995+0 1.091493-5 4.828812+0 1.096960-5 3.896951+0 1.109350-5 2.433798+0 1.113788-5 2.053734+0 1.117948-5 1.745434+0 1.121849-5 1.491316+0 1.129162-5 1.088318+0 1.135165-5 8.154058-1 1.141961-5 5.584826-1 1.146760-5 4.077998-1 1.150960-5 2.972264-1 1.154635-5 2.183287-1 1.157749-5 1.666451-1 1.159162-5 1.486700-1 1.160487-5 1.354856-1 1.161729-5 1.268331-1 1.162893-5 1.224986-1 1.163985-5 1.222958-1 1.165008-5 1.260503-1 1.165967-5 1.335866-1 1.166867-5 1.447182-1 1.167710-5 1.592418-1 1.168500-5 1.769341-1 1.169241-5 1.975520-1 1.169936-5 2.208348-1 1.170587-5 2.465080-1 1.171198-5 2.742878-1 1.171761-5 3.033961-1 1.173416-5 4.108227-1 1.175590-5 6.122891-1 1.176675-5 7.440053-1 1.177890-5 9.206611-1 1.179118-5 1.134083+0 1.180402-5 1.399658+0 1.181274-5 1.606600+0 1.182517-5 1.942441+0 1.183262-5 2.168227+0 1.183989-5 2.406467+0 1.184533-5 2.597359+0 1.185759-5 3.066207+0 1.186690-5 3.459323+0 1.187881-5 4.010044+0 1.189073-5 4.613565+0 1.189595-5 4.894249+0 1.191978-5 6.293732+0 1.193096-5 7.010112+0 1.195065-5 8.344751+0 1.196001-5 9.003222+0 1.197119-5 9.800374+0 1.198152-5 1.054170+1 1.199443-5 1.146126+1 1.200694-5 1.233208+1 1.201965-5 1.318108+1 1.203255-5 1.399023+1 1.203690-5 1.424895+1 1.205097-5 1.502538+1 1.206364-5 1.563533+1 1.207170-5 1.597422+1 1.208570-5 1.646335+1 1.209880-5 1.679877+1 1.210717-5 1.694823+1 1.211916-5 1.707224+1 1.212912-5 1.709419+1 1.213489-5 1.707342+1 1.215402-5 1.683335+1 1.216785-5 1.650392+1 1.218126-5 1.607040+1 1.219601-5 1.547721+1 1.221031-5 1.480230+1 1.222302-5 1.413394+1 1.223528-5 1.344081+1 1.223936-5 1.320117+1 1.225389-5 1.232280+1 1.226842-5 1.141718+1 1.228476-5 1.038702+1 1.229747-5 9.591008+0 1.232652-5 7.838757+0 1.233651-5 7.269659+0 1.235558-5 6.244562+0 1.237010-5 5.524095+0 1.238664-5 4.772838+0 1.240427-5 4.056695+0 1.241547-5 3.647134+0 1.245961-5 2.373187+0 1.246967-5 2.155740+0 1.247972-5 1.963754+0 1.249504-5 1.718282+0 1.250270-5 1.616027+0 1.251037-5 1.526887+0 1.251420-5 1.487107+0 1.252921-5 1.360780+0 1.253430-5 1.328225+0 1.254101-5 1.293018+0 1.254651-5 1.270373+0 1.257165-5 1.233780+0 1.257715-5 1.239262+0 1.258344-5 1.250917+0 1.260229-5 1.317408+0 1.261094-5 1.362008+0 1.262211-5 1.430808+0 1.263844-5 1.550311+0 1.267123-5 1.834321+0 1.268694-5 1.978880+0 1.269613-5 2.062736+0 1.271409-5 2.220376+0 1.272677-5 2.323515+0 1.274359-5 2.445301+0 1.275742-5 2.529869+0 1.277742-5 2.623569+0 1.279165-5 2.667994+0 1.279793-5 2.681587+0 1.281678-5 2.700450+0 1.282780-5 2.696813+0 1.283408-5 2.690179+0 1.284508-5 2.671128+0 1.285951-5 2.633118+0 1.287807-5 2.566198+0 1.289410-5 2.496089+0 1.291013-5 2.418630+0 1.297798-5 2.089788+0 1.300310-5 1.994314+0 1.302256-5 1.935697+0 1.304147-5 1.891866+0 1.307247-5 1.845950+0 1.309541-5 1.829247+0 1.312537-5 1.823140+0 1.317648-5 1.833477+0 1.323779-5 1.847655+0 1.328659-5 1.847744+0 1.334932-5 1.833698+0 1.351542-5 1.769457+0 1.362498-5 1.733986+0 1.372461-5 1.715389+0 1.388351-5 1.704333+0 1.411998-5 1.691588+0 1.465398-5 1.634877+0 1.568361-5 1.531559+0 1.659853-5 1.457325+0 1.806848-5 1.360888+0 1.970149-5 1.278274+0 2.200291-5 1.188989+0 2.489815-5 1.106409+0 2.788452-5 1.042104+0 3.184728-5 9.782835-1 3.727372-5 9.168016-1 4.171694-5 8.797614-1 4.809467-5 8.396242-1 5.653300-5 8.028790-1 6.637940-5 7.733670-1 7.951414-5 7.469901-1 9.721928-5 7.245400-1 1.203923-4 7.066772-1 1.533199-4 6.916611-1 2.127262-4 6.777725-1 4.628470-4 6.513569-1 6.703164-4 6.284393-1 9.094616-4 5.971722-1 1.129144-3 5.626810-1 1.156538-3 5.566560-1 1.332447-3 5.279290-1 1.512472-3 4.965070-1 1.671706-3 4.691909-1 1.803701-3 4.467372-1 1.913233-3 4.286082-1 2.072472-3 4.024488-1 2.243069-3 3.759227-1 2.425379-3 3.491066-1 2.641027-3 3.197025-1 2.864249-3 2.919157-1 3.101248-3 2.653056-1 3.368451-3 2.386776-1 3.652292-3 2.139823-1 4.023205-3 1.865218-1 4.442115-3 1.609938-1 5.015101-3 1.334314-1 5.657012-3 1.099949-1 6.482416-3 8.781459-2 7.461983-3 6.912388-2 8.726439-3 5.258735-2 1.034169-2 3.878097-2 1.219082-2 2.867096-2 1.489084-2 1.969935-2 1.857956-2 1.290129-2 2.452641-2 7.520383-3 3.505973-2 3.721924-3 6.095369-2 1.240517-3 1.833770-1 1.375154-4 5.563044-1 1.494776-5 1.696098+0 1.608114-6 5.122134+0 1.763269-7 1.546860+1 1.933387-8 4.671441+1 2.119917-9 1.410753+2 2.32444-10 4.260405+2 2.54870-11 1.584893+3 1.84171-12 5.011872+3 1.84171-13 1.584893+4 1.84171-14 5.011872+4 1.84171-15 1.000000+5 4.62616-16 1 1000 7 7 1.007970+0 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 1000 7 0 1.007970+0 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.562300-8 1.258900-6 1.515500-7 1.584900-6 2.401900-7 1.995300-6 3.806800-7 2.511900-6 6.033300-7 3.162300-6 9.562200-7 3.981100-6 1.515500-6 5.011900-6 2.401900-6 6.309600-6 3.806700-6 7.943300-6 6.033200-6 1.000000-5 9.561800-6 1.258900-5 1.515400-5 1.584900-5 2.401700-5 1.995300-5 3.806400-5 2.511900-5 6.032600-5 3.162300-5 9.560700-5 3.981100-5 1.515200-4 5.011900-5 2.401300-4 6.309600-5 3.805500-4 7.943300-5 6.027800-4 1.000000-4 9.546400-4 1.258900-4 1.512000-3 1.584900-4 2.392700-3 1.995300-4 3.784900-3 2.511900-4 5.979400-3 3.162300-4 9.429600-3 3.981100-4 1.482800-2 5.011900-4 2.322000-2 6.309600-4 3.612400-2 7.943300-4 5.560400-2 1.000000-3 8.434300-2 1.258900-3 1.250900-1 1.584900-3 1.797100-1 1.995300-3 2.475700-1 2.511900-3 3.238000-1 3.162300-3 3.998000-1 3.981100-3 4.667300-1 5.011900-3 5.195000-1 6.309600-3 5.566200-1 7.943300-3 5.805100-1 1.000000-2 5.934400-1 1.258900-2 6.072500-1 1.584900-2 6.093200-1 1.995300-2 6.065400-1 2.511900-2 5.998000-1 3.162300-2 5.895000-1 3.981100-2 5.759000-1 5.011900-2 5.592000-1 6.309600-2 5.395100-1 7.943300-2 5.170300-1 1.000000-1 4.920300-1 1.258900-1 4.649300-1 1.584900-1 4.362000-1 1.995300-1 4.064800-1 2.511900-1 3.763600-1 3.162300-1 3.464100-1 3.981100-1 3.170900-1 5.011900-1 2.887200-1 6.309600-1 2.615200-1 7.943300-1 2.356200-1 1.000000+0 2.111000-1 1.258900+0 1.880300-1 1.584900+0 1.664800-1 1.995300+0 1.464800-1 2.511900+0 1.281000-1 3.162300+0 1.113500-1 3.981100+0 9.622100-2 5.011900+0 8.269400-2 6.309600+0 7.070100-2 7.943300+0 6.015800-2 1.000000+1 5.096400-2 1.258900+1 4.300100-2 1.584900+1 3.615000-2 1.995300+1 3.029100-2 2.511900+1 2.530500-2 3.162300+1 2.108300-2 3.981100+1 1.752300-2 5.011900+1 1.453100-2 6.309600+1 1.202700-2 7.943300+1 9.935600-3 1.000000+2 8.194500-3 1.258900+2 6.748300-3 1.584900+2 5.549700-3 1.995300+2 4.558100-3 2.511900+2 3.739400-3 3.162300+2 3.064300-3 3.981100+2 2.508600-3 5.011900+2 2.051800-3 6.309600+2 1.676700-3 7.943300+2 1.369000-3 1.000000+3 1.116900-3 1.258900+3 9.106300-4 1.584900+3 7.419200-4 1.995300+3 6.040800-4 2.511900+3 4.915500-4 3.162300+3 3.997500-4 3.981100+3 3.249100-4 5.011900+3 2.639500-4 6.309600+3 2.143200-4 7.943300+3 1.739400-4 1.000000+4 1.411000-4 1.258900+4 1.144100-4 1.584900+4 9.273100-5 1.995300+4 7.512900-5 2.511900+4 6.084500-5 3.162300+4 4.925900-5 3.981100+4 3.986400-5 5.011900+4 3.225000-5 6.309600+4 2.608200-5 7.943300+4 2.108600-5 1.000000+5 1.704200-5 1 1000 7 7 1.007970+0 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159545-4 3.981072-4 3.976746-4 5.011872-4 5.005028-4 6.309573-4 6.298729-4 7.943282-4 7.926209-4 1.000000-3 9.973102-4 1.258925-3 1.254701-3 1.584893-3 1.578276-3 1.995262-3 1.984979-3 2.511886-3 2.496018-3 3.162278-3 3.137990-3 3.981072-3 3.944103-3 5.011872-3 4.955778-3 6.309573-3 6.224350-3 7.943282-3 7.813219-3 1.000000-2 9.800166-3 1.258925-2 1.228296-2 1.584893-2 1.537615-2 1.995262-2 1.922224-2 2.511886-2 2.399094-2 3.162278-2 2.988563-2 3.981072-2 3.714577-2 5.011872-2 4.605269-2 6.309573-2 5.693340-2 7.943282-2 7.016599-2 1.000000-1 8.618781-2 1.258925-1 1.055007-1 1.584893-1 1.286847-1 1.995262-1 1.564093-1 2.511886-1 1.894429-1 3.162278-1 2.286721-1 3.981072-1 2.751102-1 5.011872-1 3.299388-1 6.309573-1 3.945317-1 7.943282-1 4.705462-1 1.000000+0 5.599947-1 1.258925+0 6.653552-1 1.584893+0 7.896863-1 1.995262+0 9.367513-1 2.511886+0 1.111263+0 3.162278+0 1.318947+0 3.981072+0 1.566826+0 5.011872+0 1.863570+0 6.309573+0 2.219709+0 7.943282+0 2.648172+0 1.000000+1 3.164728+0 1.258925+1 3.788728+0 1.584893+1 4.543841+0 1.995262+1 5.458975+0 2.511886+1 6.569696+0 3.162278+1 7.919628+0 3.981072+1 9.562065+0 5.011872+1 1.156281+1 6.309573+1 1.400242+1 7.943282+1 1.697999+1 1.000000+2 2.061735+1 1.258925+2 2.506460+1 1.584893+2 3.050622+1 1.995262+2 3.716940+1 2.511886+2 4.533451+1 3.162278+2 5.534704+1 3.981072+2 6.763146+1 5.011872+2 8.271474+1 6.309573+2 1.012442+2 7.943282+2 1.240202+2 1.000000+3 1.520295+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 1000 7 9 1.007970+0 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090663-8 7.943282-5 1.728255-8 1.000000-4 2.738701-8 1.258925-4 4.340130-8 1.584893-4 6.876282-8 1.995262-4 1.089466-7 2.511886-4 1.725739-7 3.162278-4 2.732895-7 3.981072-4 4.325874-7 5.011872-4 6.844291-7 6.309573-4 1.084435-6 7.943282-4 1.707342-6 1.000000-3 2.689793-6 1.258925-3 4.224157-6 1.584893-3 6.617219-6 1.995262-3 1.028353-5 2.511886-3 1.586834-5 3.162278-3 2.428776-5 3.981072-3 3.696842-5 5.011872-3 5.609404-5 6.309573-3 8.522319-5 7.943282-3 1.300634-4 1.000000-2 1.998337-4 1.258925-2 3.062961-4 1.584893-2 4.727803-4 1.995262-2 7.303783-4 2.511886-2 1.127923-3 3.162278-2 1.737148-3 3.981072-2 2.664952-3 5.011872-2 4.066032-3 6.309573-2 6.162338-3 7.943282-2 9.266833-3 1.000000-1 1.381219-2 1.258925-1 2.039181-2 1.584893-1 2.980464-2 1.995262-1 4.311694-2 2.511886-1 6.174574-2 3.162278-1 8.755570-2 3.981072-1 1.229970-1 5.011872-1 1.712484-1 6.309573-1 2.364256-1 7.943282-1 3.237821-1 1.000000+0 4.400053-1 1.258925+0 5.935702-1 1.584893+0 7.952069-1 1.995262+0 1.058511+0 2.511886+0 1.400624+0 3.162278+0 1.843331+0 3.981072+0 2.414246+0 5.011872+0 3.148303+0 6.309573+0 4.089864+0 7.943282+0 5.295110+0 1.000000+1 6.835272+0 1.258925+1 8.800526+0 1.584893+1 1.130509+1 1.995262+1 1.449365+1 2.511886+1 1.854917+1 3.162278+1 2.370315+1 3.981072+1 3.024865+1 5.011872+1 3.855591+1 6.309573+1 4.909331+1 7.943282+1 6.245283+1 1.000000+2 7.938265+1 1.258925+2 1.008279+2 1.584893+2 1.279831+2 1.995262+2 1.623568+2 2.511886+2 2.058541+2 3.162278+2 2.608807+2 3.981072+2 3.304757+2 5.011872+2 4.184725+2 6.309573+2 5.297132+2 7.943282+2 6.703081+2 1.000000+3 8.479705+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 1000 7 0 1.007970+0 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 1.361000-5 6.305834+6 1.678804-5 3.578564+6 2.000000-5 2.212190+6 2.371374-5 1.374747+6 2.818383-5 8.425752+5 3.388442-5 4.960675+5 4.120975-5 2.803254+5 5.011872-5 1.571946+5 6.095369-5 8.753531+4 7.500000-5 4.672900+4 9.225714-5 2.479315+4 1.161449-4 1.215972+4 1.479108-4 5.707403+3 1.883649-4 2.657906+3 2.426610-4 1.184136+3 3.162278-4 5.045547+2 4.168694-4 2.055060+2 5.559043-4 7.998682+1 7.498942-4 2.974499+1 1.035142-3 1.016911+1 1.462177-3 3.194367+0 2.113489-3 9.212877-1 3.162278-3 2.345067-1 5.370318-3 3.847048-2 8.810489-3 7.046222-3 1.678804-2 7.649817-4 3.349654-2 7.050262-5 6.095369-2 8.951682-6 9.332543-2 2.078912-6 1.188502-1 9.136922-7 1.462177-1 4.548825-7 1.757924-1 2.461777-7 2.041738-1 1.505007-7 2.371374-1 9.270837-8 2.691535-1 6.194436-8 3.019952-1 4.323304-8 3.388442-1 3.040003-8 3.758374-1 2.230333-8 4.120975-1 1.704846-8 4.518559-1 1.312239-8 4.954502-1 1.017758-8 5.370318-1 8.201256-9 5.821032-1 6.650961-9 6.309573-1 5.430553-9 6.839117-1 4.464828-9 7.413102-1 3.697165-9 8.035261-1 3.080545-9 8.609938-1 2.651009-9 9.225714-1 2.296615-9 9.885531-1 2.004198-9 1.083927+0 1.688819-9 1.188502+0 1.433332-9 1.303167+0 1.224643-9 1.462177+0 1.013927-9 1.717908+0 7.83107-10 1.927525+0 6.55457-10 2.162719+0 5.52801-10 2.454709+0 4.61921-10 2.818383+0 3.82753-10 3.311311+0 3.09959-10 3.890451+0 2.52937-10 4.677351+0 2.02046-10 5.688529+0 1.60401-10 7.161434+0 1.23185-10 9.440609+0 9.05659-11 1.288250+1 6.46368-11 1.862087+1 4.37244-11 2.851018+1 2.80606-11 4.954502+1 1.59177-11 9.885531+1 7.90232-12 1.972423+2 3.94161-12 1.566751+3 4.94095-13 1.000000+5 7.73600-15 1 1000 7 0 1.007970+0 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 1.361000-5 1.361000-5 1.000000+5 1.361000-5 1 1000 7 9 1.007970+0 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.361000-5 0.0 1.000000+5 1.000000+5 1 1000 7 0 1.007970+0 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.361000-5 6.305834+6 1.678804-5 3.578564+6 2.000000-5 2.212190+6 2.371374-5 1.374747+6 2.818383-5 8.425752+5 3.388442-5 4.960675+5 4.120975-5 2.803254+5 5.011872-5 1.571946+5 6.095369-5 8.753531+4 7.500000-5 4.672900+4 9.225714-5 2.479315+4 1.161449-4 1.215972+4 1.479108-4 5.707403+3 1.883649-4 2.657906+3 2.426610-4 1.184136+3 3.162278-4 5.045547+2 4.168694-4 2.055060+2 5.559043-4 7.998682+1 7.498942-4 2.974499+1 1.035142-3 1.016911+1 1.462177-3 3.194367+0 2.113489-3 9.212877-1 3.162278-3 2.345067-1 5.370318-3 3.847048-2 8.810489-3 7.046222-3 1.678804-2 7.649817-4 3.349654-2 7.050262-5 6.095369-2 8.951682-6 9.332543-2 2.078912-6 1.188502-1 9.136922-7 1.462177-1 4.548825-7 1.757924-1 2.461777-7 2.041738-1 1.505007-7 2.371374-1 9.270837-8 2.691535-1 6.194436-8 3.019952-1 4.323304-8 3.388442-1 3.040003-8 3.758374-1 2.230333-8 4.120975-1 1.704846-8 4.518559-1 1.312239-8 4.954502-1 1.017758-8 5.370318-1 8.201256-9 5.821032-1 6.650961-9 6.309573-1 5.430553-9 6.839117-1 4.464828-9 7.413102-1 3.697165-9 8.035261-1 3.080545-9 8.609938-1 2.651009-9 9.225714-1 2.296615-9 9.885531-1 2.004198-9 1.083927+0 1.688819-9 1.188502+0 1.433332-9 1.303167+0 1.224643-9 1.462177+0 1.013927-9 1.717908+0 7.83107-10 1.927525+0 6.55457-10 2.162719+0 5.52801-10 2.454709+0 4.61921-10 2.818383+0 3.82753-10 3.311311+0 3.09959-10 3.890451+0 2.52937-10 4.677351+0 2.02046-10 5.688529+0 1.60401-10 7.161434+0 1.23185-10 9.440609+0 9.05659-11 1.288250+1 6.46368-11 1.862087+1 4.37244-11 2.851018+1 2.80606-11 4.954502+1 1.59177-11 9.885531+1 7.90232-12 1.972423+2 3.94161-12 1.566751+3 4.94095-13 1.000000+5 7.73600-15 1 1000 7 0 1.007970+0 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.361000-5 1.361000-5 1.000000+5 1.361000-5 1 1000 7 9 1.007970+0 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.361000-5 0.0 1.000000+5 1.000000+5 1 1000 7 0 1.007970+0 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.62517-11 1.028750+0 3.62517-10 1.036640+0 3.625170-9 1.054080+0 3.625170-8 1.093710+0 3.625170-7 1.133300+0 1.219870-6 1.147500+0 1.684560-6 1.158200+0 2.093570-6 1.174100+0 2.797530-6 1.190110+0 3.625170-6 1.205100+0 4.509120-6 1.227500+0 6.031090-6 1.250000+0 7.805000-6 1.281300+0 1.068780-5 1.308600+0 1.360120-5 1.332500+0 1.645170-5 1.374400+0 2.211970-5 1.405800+0 2.690870-5 1.452900+0 3.491940-5 1.500000+0 4.385000-5 1.562500+0 5.694550-5 1.641100+0 7.518500-5 1.706900+0 9.173120-5 1.811600+0 1.200670-4 1.952900+0 1.613860-4 2.000000+0 1.758000-4 2.044000+0 1.895000-4 2.163500+0 2.275480-4 2.372600+0 2.960880-4 2.647100+0 3.875840-4 3.000000+0 5.048000-4 3.437500+0 6.466110-4 4.000000+0 8.202000-4 4.750000+0 1.034370-3 5.000000+0 1.102000-3 6.000000+0 1.355000-3 7.000000+0 1.580000-3 8.000000+0 1.784000-3 9.000000+0 1.970000-3 1.000000+1 2.138000-3 1.100000+1 2.292000-3 1.200000+1 2.433000-3 1.300000+1 2.565000-3 1.400000+1 2.688000-3 1.500000+1 2.803000-3 1.600000+1 2.912000-3 1.800000+1 3.112000-3 2.000000+1 3.292000-3 2.200000+1 3.457000-3 2.400000+1 3.608000-3 2.600000+1 3.747000-3 2.800000+1 3.877000-3 3.000000+1 3.998000-3 4.000000+1 4.506000-3 5.000000+1 4.902000-3 6.000000+1 5.225000-3 8.000000+1 5.731000-3 1.000000+2 6.116000-3 1.500000+2 6.781000-3 2.000000+2 7.214000-3 3.000000+2 7.753000-3 4.000000+2 8.079000-3 5.000000+2 8.300000-3 6.000000+2 8.461000-3 8.000000+2 8.680000-3 1.000000+3 8.824000-3 1.500000+3 9.035000-3 2.000000+3 9.153000-3 3.000000+3 9.277000-3 4.000000+3 9.353000-3 5.000000+3 9.397000-3 6.000000+3 9.428000-3 8.000000+3 9.469000-3 1.000000+4 9.495000-3 1.500000+4 9.529000-3 2.000000+4 9.549000-3 3.000000+4 9.567000-3 4.000000+4 9.581000-3 5.000000+4 9.588000-3 6.000000+4 9.592000-3 8.000000+4 9.597000-3 1.000000+5 9.601000-3 1 1000 7 8 1.007970+0 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 1000 7 9 1.007970+0 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 1000 7 0 1.007970+0 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 1.004230-8 2.136250+0 1.004230-7 2.253680+0 1.004230-6 2.281500+0 1.406600-6 2.307000+0 1.847570-6 2.338200+0 2.484210-6 2.377400+0 3.440340-6 2.410200+0 4.375540-6 2.446800+0 5.565930-6 2.485900+0 7.007810-6 2.532900+0 8.968490-6 2.556430+0 1.004230-5 2.611900+0 1.280500-5 2.660400+0 1.548060-5 2.745300+0 2.071970-5 2.809000+0 2.509270-5 2.904500+0 3.232600-5 3.000000+0 4.035000-5 3.125000+0 5.203050-5 3.234400+0 6.331060-5 3.425800+0 8.526070-5 3.569300+0 1.033930-4 3.784700+0 1.329300-4 4.000000+0 1.647000-4 4.250000+0 2.035680-4 4.625000+0 2.647040-4 5.000000+0 3.283000-4 5.500000+0 4.156220-4 6.000000+0 5.042000-4 6.750000+0 6.362820-4 7.000000+0 6.798000-4 8.000000+0 8.503000-4 9.000000+0 1.014000-3 1.000000+1 1.170000-3 1.100000+1 1.318000-3 1.200000+1 1.458000-3 1.300000+1 1.590000-3 1.400000+1 1.716000-3 1.500000+1 1.836000-3 1.600000+1 1.951000-3 1.800000+1 2.164000-3 2.000000+1 2.359000-3 2.200000+1 2.539000-3 2.400000+1 2.706000-3 2.600000+1 2.862000-3 2.800000+1 3.007000-3 3.000000+1 3.143000-3 4.000000+1 3.719000-3 5.000000+1 4.173000-3 6.000000+1 4.546000-3 8.000000+1 5.136000-3 1.000000+2 5.593000-3 1.500000+2 6.412000-3 2.000000+2 6.976000-3 3.000000+2 7.731000-3 4.000000+2 8.223000-3 5.000000+2 8.575000-3 6.000000+2 8.841000-3 8.000000+2 9.223000-3 1.000000+3 9.485000-3 1.500000+3 9.888000-3 2.000000+3 1.012000-2 3.000000+3 1.038000-2 4.000000+3 1.053000-2 5.000000+3 1.063000-2 6.000000+3 1.070000-2 8.000000+3 1.079000-2 1.000000+4 1.085000-2 1.500000+4 1.093000-2 2.000000+4 1.097000-2 3.000000+4 1.102000-2 4.000000+4 1.105000-2 5.000000+4 1.106000-2 6.000000+4 1.108000-2 8.000000+4 1.109000-2 1.000000+5 1.110000-2 1 1000 7 8 1.007970+0 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 1000 7 9 1.007970+0 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 1000 7 0 1.007970+0 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+0 1.000000+5 1.000000+0 5.000000+5 9.994500-1 1.000000+6 9.977900-1 1.500000+6 9.950400-1 2.000000+6 9.912100-1 2.500000+6 9.863200-1 3.000000+6 9.803900-1 3.750000+6 9.695910-1 4.000000+6 9.655400-1 4.750000+6 9.518880-1 5.000000+6 9.469400-1 5.875000+6 9.278400-1 6.625000+6 9.096010-1 7.000000+6 8.998700-1 7.875000+6 8.757760-1 8.000000+6 8.721610-1 8.625000+6 8.537270-1 9.000000+6 8.423900-1 9.750000+6 8.187930-1 1.000000+7 8.108200-1 1.062500+7 7.903800-1 1.156300+7 7.590290-1 1.250000+7 7.271200-1 1.359400+7 6.894680-1 1.453100+7 6.572700-1 1.500000+7 6.413000-1 1.609400+7 6.043200-1 1.703100+7 5.733520-1 1.750000+7 5.581200-1 1.875000+7 5.185450-1 2.000000+7 4.807900-1 2.125000+7 4.449150-1 2.218800+7 4.193120-1 2.289100+7 4.009390-1 2.359400+7 3.832090-1 2.429700+7 3.661360-1 2.500000+7 3.497500-1 2.625000+7 3.221710-1 2.718800+7 3.028140-1 2.789100+7 2.890650-1 2.906300+7 2.674080-1 2.929700+7 2.632700-1 3.000000+7 2.512700-1 3.179700+7 2.229550-1 3.250000+7 2.128040-1 3.330100+7 2.017980-1 3.497600+7 1.806930-1 3.625000+7 1.662140-1 3.677000+7 1.606750-1 3.892300+7 1.397670-1 4.000000+7 1.304500-1 4.250000+7 1.113530-1 4.437500+7 9.908660-2 4.500000+7 9.533620-2 4.718800+7 8.345640-2 5.000000+7 7.059600-2 5.250000+7 6.105480-2 5.625000+7 4.943010-2 6.000000+7 4.032700-2 6.500000+7 3.109610-2 7.000000+7 2.428600-2 7.500000+7 1.919230-2 8.000000+7 1.533600-2 8.750000+7 1.116450-2 9.000000+7 1.009200-2 1.000000+8 6.881600-3 1.125000+8 4.449490-3 1.250000+8 2.994900-3 1.437500+8 1.759020-3 1.500000+8 1.493900-3 1.750000+8 8.230890-4 2.000000+8 4.890600-4 2.500000+8 2.035500-4 3.000000+8 9.902300-5 3.500000+8 5.373400-5 4.000000+8 3.160600-5 5.000000+8 1.299800-5 6.000000+8 6.282400-6 7.000000+8 3.395600-6 8.000000+8 1.992200-6 1.000000+9 8.168200-7 1.500000+9 1.615100-7 2.000000+9 5.112000-8 5.000000+9 1.309200-9 8.000000+9 1.99770-10 1.00000+10 8.18280-11 1.00000+11 8.18290-15 1.00000+14 8.18290-27 1.00000+17 8.18290-39 1 1000 7 0 1.007970+0 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 4.40970-13 1.000000+2 4.40970-11 1.000000+3 4.409700-9 1.000000+4 4.409700-7 1.000000+5 4.409700-5 5.000000+5 1.102425-3 1.000000+6 4.409700-3 1.500000+6 9.887600-3 2.000000+6 1.749400-2 2.500000+6 2.716600-2 3.000000+6 3.882600-2 3.750000+6 5.983670-2 4.000000+6 6.772900-2 4.750000+6 9.383850-2 5.000000+6 1.033100-1 5.875000+6 1.391020-1 6.625000+6 1.726290-1 7.000000+6 1.902300-1 7.875000+6 2.329580-1 8.000000+6 2.392320-1 8.625000+6 2.710060-1 9.000000+6 2.903800-1 9.750000+6 3.294640-1 1.000000+7 3.425600-1 1.062500+7 3.752390-1 1.156300+7 4.238310-1 1.250000+7 4.713000-1 1.359400+7 5.245410-1 1.453100+7 5.678810-1 1.500000+7 5.887300-1 1.609400+7 6.347230-1 1.703100+7 6.712280-1 1.750000+7 6.885000-1 1.875000+7 7.310720-1 2.000000+7 7.688400-1 2.125000+7 8.019520-1 2.218800+7 8.240260-1 2.289100+7 8.392010-1 2.359400+7 8.530840-1 2.429700+7 8.658780-1 2.500000+7 8.776800-1 2.625000+7 8.961610-1 2.718800+7 9.082310-1 2.789100+7 9.163850-1 2.906300+7 9.283980-1 2.929700+7 9.305910-1 3.000000+7 9.368600-1 3.179700+7 9.502770-1 3.250000+7 9.546510-1 3.330100+7 9.592280-1 3.497600+7 9.673380-1 3.625000+7 9.723280-1 3.677000+7 9.741820-1 3.892300+7 9.804080-1 4.000000+7 9.829800-1 4.250000+7 9.875650-1 4.437500+7 9.901100-1 4.500000+7 9.908580-1 4.718800+7 9.930070-1 5.000000+7 9.950200-1 5.250000+7 9.962740-1 5.625000+7 9.975580-1 6.000000+7 9.983700-1 6.500000+7 9.989660-1 7.000000+7 9.994100-1 7.500000+7 9.995910-1 8.000000+7 9.997600-1 8.750000+7 9.998670-1 9.000000+7 9.999000-1 1.000000+8 9.999500-1 1.125000+8 9.999710-1 1.250000+8 9.999900-1 1.437500+8 9.999980-1 1.500000+8 1.000000+0 1.750000+8 1.000000+0 2.000000+8 1.000000+0 2.500000+8 1.000000+0 3.000000+8 1.000000+0 3.500000+8 1.000000+0 4.000000+8 1.000000+0 5.000000+8 1.000000+0 6.000000+8 1.000000+0 7.000000+8 1.000000+0 8.000000+8 1.000000+0 1.000000+9 1.000000+0 1.500000+9 1.000000+0 2.000000+9 1.000000+0 5.000000+9 1.000000+0 8.000000+9 1.000000+0 1.00000+10 1.000000+0 1.00000+11 1.000000+0 1.00000+14 1.000000+0 1.00000+17 1.000000+0 1 1000 7 0 1.007970+0 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.006048-6 0.0 9.060263-6 0.0 9.959265-6 0.0 1.000216-5 2.056141+0 1.000829-5 2.346878+0 1.003281-5 4.286764+0 1.005732-5 7.228074+0 1.008490-5 1.186343+1 1.012784-5 2.078953+1 1.015691-5 2.646340+1 1.018248-5 2.980443+1 1.020764-5 3.080314+1 1.023288-5 2.927708+1 1.025783-5 2.565143+1 1.029642-5 1.777841+1 1.032697-5 1.152399+1 1.035148-5 7.439484+0 1.037599-5 4.433400+0 1.040051-5 2.438850+0 1.043728-5 6.199655-1 1.044953-5 0.0 1.180357-5 0.0 1.180402-5 3.513614-3 1.185759-5 4.149465-1 1.186168-5 4.460364-1 1.189073-5 8.147219-1 1.192160-5 1.421404+0 1.195065-5 2.196447+0 1.200225-5 3.912541+0 1.203690-5 5.009249+0 1.206838-5 5.666647+0 1.209718-5 5.859945+0 1.212582-5 5.608229+0 1.215743-5 4.875188+0 1.220316-5 3.378880+0 1.223936-5 2.190193+0 1.226842-5 1.413913+0 1.229747-5 8.425908-1 1.232652-5 4.635161-1 1.235558-5 2.353786-1 1.238463-5 0.0 1.244908-5 0.0 1.250270-5 1.432211-1 1.251037-5 1.634725-1 1.254101-5 2.985958-1 1.257356-5 5.209450-1 1.260421-5 8.049985-1 1.265952-5 1.444629+0 1.269613-5 1.843316+0 1.272677-5 2.072755+0 1.275742-5 2.163225+0 1.278806-5 2.113138+0 1.282061-5 1.904716+0 1.287807-5 1.410134+0 1.291013-5 1.194639+0 1.294588-5 1.095625+0 1.297798-5 1.093550+0 1.301873-5 1.178886+0 1.304147-5 1.229887+0 1.310997-5 1.333485+0 1.316532-5 1.332556+0 1.343596-5 1.237848+0 1.352357-5 1.210823+0 1.449822-5 1.104404+0 1.641221-5 8.940378-1 1.869746-5 7.123039-1 2.098487-5 5.809775-1 2.355835-5 4.721851-1 2.591418-5 3.966658-1 2.913232-5 3.194468-1 3.284931-5 2.551233-1 3.613424-5 2.127905-1 3.992138-5 1.757037-1 4.468631-5 1.411211-1 4.959088-5 1.151161-1 5.513187-5 9.326272-2 6.174884-5 7.439288-2 6.788208-5 6.140412-2 7.597705-5 4.884620-2 8.351275-5 4.020001-2 9.129327-5 3.345616-2 1.013578-4 2.688692-2 1.107131-4 2.234800-2 1.227129-4 1.798184-2 1.343996-4 1.481737-2 1.464240-4 1.234626-2 1.632676-4 9.761864-3 1.796900-4 7.935104-3 1.955877-4 6.599114-3 2.127262-4 5.489403-3 2.355439-4 4.390003-3 2.610462-4 3.496854-3 2.901504-4 2.765116-3 3.162278-4 2.284116-3 3.455636-4 1.870606-3 3.832090-4 1.482123-3 4.244363-4 1.177119-3 4.628470-4 9.662368-4 5.120268-4 7.676052-4 5.664023-4 6.095886-4 6.158809-4 5.026093-4 6.703164-4 4.135489-4 7.426832-4 3.264641-4 8.196199-4 2.595985-4 8.927987-4 2.126801-4 9.657660-4 1.771405-4 1.068488-3 1.398562-4 1.156538-3 1.160978-4 1.260279-3 9.484134-5 1.363758-3 7.878470-5 1.486735-3 6.429433-5 1.632110-3 5.149768-5 1.803701-3 4.061570-5 1.988476-3 3.221783-5 2.192294-3 2.553363-5 2.382858-3 2.090992-5 2.592844-3 1.708057-5 2.864249-3 1.345680-5 3.162278-3 1.061438-5 3.442126-3 8.651935-6 3.782484-3 6.890630-6 4.166398-3 5.457076-6 4.545369-3 4.423416-6 5.015101-3 3.489111-6 5.536401-3 2.746961-6 6.108867-3 2.162585-6 6.727818-3 1.710716-6 7.293133-3 1.406521-6 8.045052-3 1.108148-6 8.726439-3 9.095985-7 9.599454-3 7.205981-7 1.057673-2 5.686921-7 1.166505-2 4.475964-7 1.267246-2 3.655333-7 1.378198-2 2.977573-7 1.489084-2 2.464505-7 1.641297-2 1.943106-7 1.787538-2 1.576324-7 1.960153-2 1.257319-7 2.135751-2 1.019033-7 2.349543-2 8.064553-8 2.590966-2 6.345381-8 2.813668-2 5.183892-8 3.063084-2 4.209783-8 3.318207-2 3.459694-8 3.627321-2 2.781679-8 3.942087-2 2.269567-8 4.251628-2 1.886185-8 4.614771-2 1.543240-8 5.014365-2 1.259469-8 5.530042-2 9.911981-9 6.095369-2 7.811432-9 6.708800-2 6.189409-9 7.232052-2 5.157679-9 7.981633-2 4.059779-9 8.787735-2 3.214160-9 9.541984-2 2.633456-9 1.048142-1 2.101934-9 1.155206-1 1.664074-9 1.271856-1 1.324131-9 1.396468-1 1.061489-9 1.526687-1 8.60831-10 1.678048-1 6.90467-10 1.833770-1 5.62452-10 2.022933-1 4.49277-10 2.238699-1 3.57947-10 2.472603-1 2.87226-10 2.691535-1 2.38695-10 2.982749-1 1.91893-10 3.317199-1 1.54035-10 3.617335-1 1.29471-10 4.015596-1 1.05692-10 4.403013-1 8.90230-11 4.954502-1 7.21960-11 5.563044-1 5.95752-11 6.309573-1 4.90453-11 7.192419-1 4.08479-11 8.281805-1 3.41868-11 9.549926-1 2.93200-11 1.173413+0 2.42071-11 1.410753+0 2.03548-11 1.696098+0 1.71155-11 2.039158+0 1.43917-11 2.451607+0 1.21014-11 2.947480+0 1.01755-11 3.543651+0 8.55618-12 4.260405+0 7.19453-12 5.122134+0 6.04958-12 6.158159+0 5.08684-12 7.403736+0 4.27731-12 8.901248+0 3.59661-12 9.760024+0 3.29803-12 1.000000+1 6.26566-12 1 1000 7 0 1.007970+0 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-9.961483-1 3.006048-6-9.619043-1 4.918349-6-8.766548-1 6.075000-6-7.730935-1 6.834375-6-6.607493-1 7.369288-6-5.425116-1 7.749457-6-4.253621-1 8.013003-6-3.194542-1 8.189822-6-2.325116-1 8.352252-6-1.378043-1 8.452690-6-7.031283-2 8.546851-6 5.739465-4 8.635127-6 7.464289-2 8.717886-6 1.522186-1 8.795472-6 2.333708-1 8.868209-6 3.180276-1 8.936400-6 4.062208-1 9.060263-6 5.937417-1 9.169126-6 7.959427-1 9.264807-6 1.012947+0 9.387049-6 1.365727+0 9.487774-6 1.749493+0 9.570768-6 2.161485+0 9.659161-6 2.746669+0 9.727442-6 3.360716+0 9.780187-6 3.987632+0 9.839297-6 4.946219+0 9.878896-6 5.837836+0 9.912154-6 6.855318+0 9.939390-6 8.023216+0 9.957868-6 9.238971+0 9.968697-6 1.018446+1 1.000829-5 1.281610+1 1.003587-5 1.500826+1 1.006575-5 1.694708+1 1.009026-5 1.761845+1 1.011477-5 1.683063+1 1.013086-5 1.529402+1 1.014762-5 1.287969+1 1.015691-5 1.099751+1 1.017504-5 7.042591+0 1.017928-5 5.903776+0 1.018248-5 4.920188+0 1.019721-5 1.126382+0 1.020036-5 2.710003-1 1.020137-5-1.736904-2 1.020269-5-4.126461-1 1.020386-5-7.886407-1 1.020450-5-1.032431+0 1.020494-5-1.192690+0 1.020660-5-6.678618-1 1.020830-5-1.745143-1 1.020895-5 5.907910-3 1.021019-5 3.482549-1 1.021356-5 1.238612+0 1.022603-5 4.459616+0 1.023151-5 6.098217+0 1.023770-5 7.618207+0 1.026035-5 1.247413+1 1.028100-5 1.550886+1 1.029944-5 1.706626+1 1.032352-5 1.760516+1 1.035148-5 1.652750+1 1.037599-5 1.482913+1 1.041698-5 1.173303+1 1.044800-5 9.632952+0 1.045877-5 8.681934+0 1.048485-5 7.322947+0 1.051552-5 6.230501+0 1.055530-5 5.206536+0 1.060346-5 4.303157+0 1.065884-5 3.534493+0 1.072872-5 2.814236+0 1.079460-5 2.295856+0 1.088626-5 1.737329+0 1.096960-5 1.336292+0 1.104616-5 1.026805+0 1.113788-5 7.061088-1 1.121849-5 4.538440-1 1.129162-5 2.392643-1 1.141961-5-1.260340-1 1.146760-5-2.667768-1 1.154635-5-5.136493-1 1.161729-5-7.679126-1 1.168500-5-1.064381+0 1.173416-5-1.341370+0 1.177135-5-1.074955+0 1.179118-5-8.843498-1 1.180226-5-7.387387-1 1.180665-5-6.594510-1 1.181771-5-5.165218-1 1.184533-5-2.131771-1 1.185350-5-1.181614-1 1.185759-5-6.620043-2 1.185963-5-3.788539-2 1.186168-5-4.944335-3 1.186349-5 2.477006-2 1.186690-5 7.193659-2 1.188477-5 2.966840-1 1.188924-5 3.599787-1 1.189254-5 4.178780-1 1.189595-5 4.650616-1 1.192500-5 8.060628-1 1.193096-5 8.560934-1 1.195406-5 9.955962-1 1.196448-5 9.999472-1 1.198152-5 9.351505-1 1.199443-5 8.086325-1 1.200460-5 6.548284-1 1.201420-5 4.615629-1 1.201965-5 3.435767-1 1.202374-5 2.474276-1 1.202680-5 1.699858-1 1.202910-5 1.082918-1 1.203255-5 8.244092-3 1.203427-5-4.665732-2 1.203513-5-7.622125-2 1.203690-5-1.447764-1 1.205449-5-7.298200-1 1.206317-5-1.064265+0 1.207033-5-1.392935+0 1.208780-5-7.013380-1 1.209233-5-4.985519-1 1.209366-5-4.303966-1 1.209455-5-3.760748-1 1.209718-5-2.469485-1 1.209880-5-1.743151-1 1.210185-5-4.481695-2 1.210717-5 1.706008-1 1.211916-5 6.482654-1 1.212315-5 8.318047-1 1.212582-5 9.574513-1 1.213489-5 1.299402+0 1.215743-5 2.052142+0 1.217456-5 2.467624+0 1.219125-5 2.772842+0 1.221031-5 2.954065+0 1.223528-5 2.988488+0 1.226479-5 2.773781+0 1.229747-5 2.343271+0 1.233651-5 1.768466+0 1.237737-5 1.239121+0 1.239055-5 1.003313+0 1.240427-5 8.160364-1 1.245291-5 2.646296-1 1.245961-5 1.940171-1 1.246967-5 9.696672-2 1.247972-5 6.106422-3 1.250654-5-2.283444-1 1.251420-5-3.024934-1 1.254651-5-5.853247-1 1.258344-5-8.624374-1 1.261369-5-1.017884+0 1.264158-5-1.069277+0 1.266378-5-1.031939+0 1.268694-5-9.238181-1 1.271947-5-6.519609-1 1.273067-5-5.211525-1 1.275236-5-2.954529-1 1.275742-5-2.265967-1 1.278614-5 8.323287-2 1.278806-5 1.086953-1 1.279165-5 1.470871-1 1.279793-5 2.046352-1 1.282061-5 3.814757-1 1.283408-5 4.518778-1 1.284508-5 4.891641-1 1.285951-5 5.153648-1 1.287343-5 5.145939-1 1.289410-5 4.666812-1 1.290613-5 4.243827-1 1.294191-5 2.438835-1 1.294588-5 2.199549-1 1.297369-5 9.656701-2 1.297798-5 7.562429-2 1.298549-5 4.821641-2 1.300310-5-1.469445-3 1.300802-5-1.545160-2 1.301384-5-2.969137-2 1.302256-5-4.188024-2 1.302692-5-4.471488-2 1.303128-5-4.345837-2 1.304147-5-4.204887-2 1.307924-5-5.306100-2 1.309002-5-4.851646-2 1.309541-5-4.326423-2 1.310079-5-3.363414-2 1.312347-5-2.174342-3 1.312726-5 2.988046-3 1.313609-5 1.490655-2 1.314550-5 2.792702-2 1.318077-5 5.385176-2 1.321531-5 6.788954-2 1.324785-5 7.724259-2 1.328032-5 8.177844-2 1.331799-5 8.391054-2 1.334334-5 8.387269-2 1.336517-5 8.803772-2 1.339405-5 8.735696-2 1.342543-5 8.049446-2 1.343596-5 7.964892-2 1.344648-5 8.408387-2 1.348745-5 8.686238-2 1.350870-5 9.228173-2 1.351542-5 9.573831-2 1.353404-5 9.021062-2 1.353649-5 9.010705-2 1.356507-5 7.658814-2 1.357600-5 7.501167-2 1.358052-5 7.277256-2 1.359345-5 7.151601-2 1.359970-5 7.299143-2 1.360315-5 7.263092-2 1.361403-5 7.496088-2 1.362498-5 7.340118-2 1.363551-5 7.639792-2 1.364626-5 7.666415-2 1.366294-5 7.196973-2 1.367275-5 7.144980-2 1.367912-5 7.291183-2 1.369114-5 7.205245-2 1.370123-5 7.431139-2 1.370841-5 7.262007-2 1.373981-5 7.239788-2 1.375408-5 7.334960-2 1.377386-5 7.353082-2 1.378603-5 7.479186-2 1.379886-5 7.440585-2 1.385305-5 7.934108-2 1.393131-5 8.392893-2 1.398189-5 8.978944-2 1.406809-5 9.798967-2 1.411998-5 1.022744-1 1.443188-5 1.212699-1 1.480491-5 1.388700-1 1.507483-5 1.501103-1 1.592177-5 1.771639-1 1.697274-5 1.999198-1 1.828241-5 2.164973-1 2.043037-5 2.260132-1 2.355835-5 2.216402-1 3.184728-5 1.822885-1 4.077574-5 1.422589-1 4.959088-5 1.127463-1 5.904805-5 8.982780-2 6.959558-5 7.164369-2 7.951414-5 5.918889-2 9.129327-5 4.820859-2 1.053750-4 3.870251-2 1.203923-4 3.143820-2 1.376570-4 2.533864-2 1.562751-4 2.062427-2 1.753067-4 1.704816-2 1.955877-4 1.418944-2 2.209937-4 1.151544-2 2.523971-4 9.170053-3 2.845984-4 7.434307-3 3.162278-4 6.172641-3 3.559126-4 4.999223-3 4.002864-4 4.046395-3 4.450825-4 3.337785-3 5.026628-4 2.668525-3 5.664023-4 2.136827-3 6.413915-4 1.691005-3 7.168310-4 1.368239-3 8.002919-4 1.105914-3 9.094616-4 8.493078-4 1.015460-3 6.699192-4 1.129144-3 5.309044-4 1.260279-3 4.150446-4 1.396819-3 3.273144-4 1.512472-3 2.716444-4 1.671706-3 2.175218-4 1.839793-3 1.749417-4 2.032251-3 1.385658-4 2.243069-3 1.089676-4 2.485172-3 8.382992-5 2.701166-3 6.686666-5 2.916702-3 5.355524-5 3.162278-3 4.158092-5 3.442126-3 3.093656-5 3.718196-3 2.270183-5 3.946484-3 1.715676-5 4.166398-3 1.265378-5 4.356780-3 9.293390-6 4.545369-3 6.372228-6 4.726559-3 3.888578-6 4.838512-3 2.491493-6 4.901995-3 1.741458-6 5.015101-3 4.750420-7 5.134475-3-7.718234-7 5.217491-3-1.588941-6 5.412020-3-3.358508-6 5.657012-3-5.332664-6 6.001012-3-7.707167-6 6.482416-3-1.041694-5 7.153575-3-1.332098-5 8.045052-3-1.611238-5 9.427917-3-1.897833-5 1.145918-2-2.145870-5 1.489084-2-2.357779-5 2.181041-2-2.522066-5 4.251628-2-2.627762-5 1.294220-1-2.661436-5 3.912911-1-2.665064-5 1.228714+0-2.665465-5 3.710658+0-2.665505-5 1.000000+1-2.665509-5 1 2000 7 0 4.002600+0 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.500308-9 1.088000-6 5.38682-10 1.156000-6 6.55085-10 1.228250-6 3.195056-9 1.305016-6 6.459416-9 1.386579-6 8.781949-9 1.473240-6 8.854737-9 1.565318-6 6.244975-9 1.663150-6 2.183299-9 1.767097-6 7.34367-10 1.877541-6 1.050072-8 1.994887-6 4.633476-8 2.048000-6 6.956544-8 2.119567-6 5.434832-8 2.252040-6 3.383529-8 2.392793-6 2.906356-8 2.542342-6 4.055228-8 2.701239-6 8.022636-8 2.785652-6 1.208338-7 2.962476-6 2.837434-7 3.055054-6 4.193958-7 3.072000-6 4.366119-7 3.150524-6 4.456744-7 3.248978-6 4.546356-7 3.350508-6 4.946806-7 3.455212-6 5.732622-7 3.563187-6 7.025551-7 3.674537-6 9.009434-7 3.789366-6 1.189817-6 3.840000-6 1.305444-6 3.907784-6 1.335276-6 4.029902-6 1.368954-6 4.155836-6 1.491979-6 4.285706-6 1.727523-6 4.419635-6 2.111487-6 4.557748-6 2.697853-6 4.700178-6 3.560426-6 4.800000-6 4.252090-6 4.847058-6 4.458370-6 4.998529-6 5.064105-6 5.154733-6 6.019725-6 5.315818-6 7.455056-6 5.400000-6 8.294250-6 5.481938-6 8.869758-6 5.653248-6 1.025366-5 5.829912-6 1.240283-5 6.012097-6 1.554328-5 6.075000-6 1.668133-5 6.199975-6 1.839651-5 6.393724-6 2.171159-5 6.593528-6 2.673511-5 6.799576-6 3.383051-5 6.834375-6 3.501004-5 7.012063-6 4.010795-5 7.231190-6 4.837880-5 7.457164-6 6.067523-5 7.690201-6 7.730273-5 7.930519-6 9.261312-5 8.178348-6 1.142912-4 8.433921-6 1.461247-4 8.649756-6 1.808678-4 8.969278-6 2.367424-4 9.190366-6 2.875754-4 9.538617-6 3.827727-4 9.764763-6 4.649285-4 9.824871-6 4.879522-4 1.010218-5 6.111938-4 1.063107-5 9.410121-4 1.088319-5 1.157415-3 1.102350-5 1.299690-3 1.112742-5 1.410621-3 1.136403-5 1.700800-3 1.159324-5 2.055395-3 1.223878-5 3.470467-3 1.244065-5 4.084838-3 1.263622-5 4.783820-3 1.282567-5 5.577495-3 1.318701-5 7.485911-3 1.335925-5 8.620039-3 1.352611-5 9.889245-3 1.368775-5 1.130679-2 1.385884-5 1.304129-2 1.412835-5 1.638276-2 1.428997-5 1.879015-2 1.456551-5 2.378888-2 1.482384-5 2.976505-2 1.506602-5 3.684777-2 1.529307-5 4.516433-2 1.550592-5 5.484515-2 1.570548-5 6.602247-2 1.589256-5 7.882921-2 1.606794-5 9.340353-2 1.623237-5 1.098821-1 1.640107-5 1.302515-1 1.653103-5 1.488699-1 1.668173-5 1.743721-1 1.679353-5 1.965592-1 1.691261-5 2.239036-1 1.703592-5 2.570234-1 1.712890-5 2.858154-1 1.724524-5 3.273468-1 1.732676-5 3.607555-1 1.740523-5 3.968803-1 1.748608-5 4.388111-1 1.756187-5 4.830859-1 1.770398-5 5.814380-1 1.782834-5 6.878527-1 1.793713-5 8.011299-1 1.803233-5 9.199192-1 1.811564-5 1.042623+0 1.818853-5 1.167531+0 1.825230-5 1.292904+0 1.830811-5 1.417086+0 1.840577-5 1.673891+0 1.847902-5 1.907308+0 1.853395-5 2.111001+0 1.861635-5 2.474038+0 1.869875-5 2.925764+0 1.874478-5 3.227802+0 1.879080-5 3.574453+0 1.883683-5 3.975158+0 1.888285-5 4.442211+0 1.892888-5 4.992042+0 1.897490-5 5.647287+0 1.902093-5 6.440104+0 1.906695-5 7.417303+0 1.911298-5 8.647922+0 1.915900-5 1.023358+1 1.920502-5 1.232131+1 1.922804-5 1.361528+1 1.925105-5 1.511754+1 1.927406-5 1.686521+1 1.929707-5 1.890039+1 1.932009-5 2.127019+1 1.934310-5 2.402647+1 1.936611-5 2.722545+1 1.941214-5 3.519303+1 1.950035-5 5.789563+1 1.953376-5 6.956006+1 1.955842-5 7.936423+1 1.957322-5 8.574040+1 1.959798-5 9.723107+1 1.962123-5 1.089239+2 1.966929-5 1.355900+2 1.967530-5 1.391261+2 1.971735-5 1.647739+2 1.973387-5 1.751274+2 1.976541-5 1.949425+2 1.978981-5 2.099993+2 1.981347-5 2.240466+2 1.983787-5 2.376660+2 1.986152-5 2.497217+2 1.988255-5 2.592631+2 1.990578-5 2.682917+2 1.991259-5 2.706046+2 1.994075-5 2.784310+2 1.996205-5 2.823644+2 1.999138-5 2.848083+2 2.000889-5 2.845887+2 2.005599-5 2.778353+2 2.007098-5 2.738822+2 2.010482-5 2.620587+2 2.012400-5 2.537541+2 2.014017-5 2.459738+2 2.015588-5 2.378171+2 2.017428-5 2.276263+2 2.019793-5 2.137197+2 2.021896-5 2.008137+2 2.023923-5 1.880759+2 2.024599-5 1.837960+2 2.027002-5 1.685625+2 2.029405-5 1.534907+2 2.032108-5 1.370009+2 2.034211-5 1.246777+2 2.039017-5 9.869194+1 2.040669-5 9.056633+1 2.042246-5 8.322523+1 2.043823-5 7.629831+1 2.046221-5 6.656563+1 2.048977-5 5.655836+1 2.051043-5 4.986206+1 2.053733-5 4.212268+1 2.056340-5 3.561363+1 2.058866-5 3.015864+1 2.061333-5 2.556423+1 2.066038-5 1.853839+1 2.072559-5 1.178203+1 2.090506-5 3.366297+0 2.103857-5 1.325808+0 2.112345-5 7.717208-1 2.118712-5 5.952294-1 2.121099-5 5.753022-1 2.123188-5 5.786234-1 2.125016-5 5.980499-1 2.126615-5 6.283863-1 2.128014-5 6.657675-1 2.129239-5 7.072878-1 2.130310-5 7.507656-1 2.131248-5 7.945816-1 2.132068-5 8.375601-1 2.133414-5 9.179779-1 2.134445-5 9.883542-1 2.135556-5 1.073342+0 2.137811-5 1.277212+0 2.144740-5 2.215233+0 2.147324-5 2.705753+0 2.149415-5 3.165455+0 2.151506-5 3.683059+0 2.153596-5 4.259241+0 2.155621-5 4.872195+0 2.157240-5 5.399680+0 2.159217-5 6.086136+0 2.160477-5 6.545873+0 2.161507-5 6.932823+0 2.164923-5 8.277556+0 2.166158-5 8.780159+0 2.168259-5 9.645193+0 2.169867-5 1.030888+1 2.171673-5 1.104677+1 2.173181-5 1.165041+1 2.175121-5 1.239979+1 2.176436-5 1.288542+1 2.178163-5 1.348766+1 2.180228-5 1.414470+1 2.180867-5 1.433240+1 2.182958-5 1.488814+1 2.185009-5 1.533832+1 2.187136-5 1.569691+1 2.189517-5 1.595909+1 2.191468-5 1.606060+1 2.192612-5 1.607223+1 2.196338-5 1.586917+1 2.197777-5 1.569607+1 2.198691-5 1.556022+1 2.201812-5 1.495794+1 2.203224-5 1.462203+1 2.204504-5 1.428757+1 2.206605-5 1.368610+1 2.208964-5 1.294833+1 2.210935-5 1.229626+1 2.213468-5 1.143094+1 2.216286-5 1.046125+1 2.219614-5 9.348563+0 2.227756-5 7.020238+0 2.232939-5 5.959844+0 2.234223-5 5.753385+0 2.235388-5 5.585137+0 2.237299-5 5.347398+0 2.238859-5 5.187189+0 2.242371-5 4.929482+0 2.243982-5 4.854128+0 2.245997-5 4.792946+0 2.247352-5 4.770111+0 2.249773-5 4.760505+0 2.252096-5 4.781951+0 2.255654-5 4.855924+0 2.265479-5 5.150230+0 2.269129-5 5.244503+0 2.273629-5 5.328971+0 2.277059-5 5.367350+0 2.279681-5 5.382114+0 2.284777-5 5.379871+0 2.292337-5 5.324923+0 2.308498-5 5.160815+0 2.319294-5 5.089064+0 2.332081-5 5.046562+0 2.391521-5 4.953130+0 2.472096-5 4.875871+0 2.634045-5 4.694877+0 2.818383-5 4.544624+0 2.938144-5 4.466767+0 3.311311-5 4.286744+0 3.619694-5 4.171542+0 4.054793-5 4.048214+0 5.103305-5 3.836111+0 6.842459-5 3.609308+0 1.013036-4 3.353904+0 1.429914-4 3.164224+0 1.986801-4 3.014560+0 2.664521-4 2.903972+0 3.903644-4 2.791192+0 5.569950-4 2.707078+0 6.657041-4 2.666552+0 9.646616-4 2.567563+0 1.373140-3 2.433006+0 1.425474-3 2.417039+0 1.457016-3 2.391370+0 1.823140-3 2.252587+0 1.859755-3 2.230583+0 1.987560-3 2.177185+0 2.196003-3 2.088944+0 2.434340-3 1.986939+0 2.619190-3 1.908376+0 2.932693-3 1.776308+0 3.241857-3 1.649791+0 3.514204-3 1.544541+0 3.818204-3 1.433679+0 4.169105-3 1.315265+0 4.512061-3 1.208987+0 4.882166-3 1.104643+0 5.318064-3 9.952659-1 5.752703-3 8.992421-1 6.371307-3 7.824491-1 7.020085-3 6.809563-1 7.767800-3 5.853916-1 8.727248-3 4.885637-1 9.877529-3 4.003709-1 1.133851-2 3.184579-1 1.318796-2 2.459728-1 1.551596-2 1.848510-1 1.817819-2 1.389748-1 2.167833-2 1.004769-1 2.629769-2 6.987685-2 3.328818-2 4.448895-2 4.400092-2 2.585041-2 6.391601-2 1.238844-2 1.123457-1 4.038073-3 3.392711-1 4.441378-4 1.070165+0 4.465368-5 3.231848+0 4.896344-6 9.760024+0 5.368755-7 2.947480+1 5.886725-8 8.901248+1 6.454666-9 2.688134+2 7.07740-10 8.118035+2 7.76021-11 2.511886+3 8.10542-12 7.943282+3 8.10542-13 2.511886+4 8.10542-14 7.943282+4 8.10542-15 1.000000+5 5.11417-15 1 2000 7 7 4.002600+0 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 2000 7 0 4.002600+0 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 7.173800-8 1.258900-6 1.137000-7 1.584900-6 1.802000-7 1.995300-6 2.855900-7 2.511900-6 4.526300-7 3.162300-6 7.173700-7 3.981100-6 1.136900-6 5.011900-6 1.801900-6 6.309600-6 2.855800-6 7.943300-6 4.526200-6 1.000000-5 7.173400-6 1.258900-5 1.136900-5 1.584900-5 1.801800-5 1.995300-5 2.855600-5 2.511900-5 4.525700-5 3.162300-5 7.172600-5 3.981100-5 1.136700-4 5.011900-5 1.801500-4 6.309600-5 2.855000-4 7.943300-5 4.524400-4 1.000000-4 7.169900-4 1.258900-4 1.135900-3 1.584900-4 1.798500-3 1.995300-4 2.847400-3 2.511900-4 4.507000-3 3.162300-4 7.126000-3 3.981100-4 1.132400-2 5.011900-4 1.778900-2 6.309600-4 2.789100-2 7.943300-4 4.360800-2 1.000000-3 6.767400-2 1.258900-3 1.039800-1 1.584900-3 1.565800-1 1.995300-3 2.315400-1 2.511900-3 3.315900-1 3.162300-3 4.546500-1 3.981100-3 5.942600-1 5.011900-3 7.368400-1 6.309600-3 8.684800-1 7.943300-3 9.777100-1 1.000000-2 1.060200+0 1.258900-2 1.116800+0 1.584900-2 1.151400+0 1.995300-2 1.167100+0 2.511900-2 1.169100+0 3.162300-2 1.159200+0 3.981100-2 1.139100+0 5.011900-2 1.110500+0 6.309600-2 1.074200+0 7.943300-2 1.031200+0 1.000000-1 9.824400-1 1.258900-1 9.289400-1 1.584900-1 8.720100-1 1.995300-1 8.128500-1 2.511900-1 7.528100-1 3.162300-1 6.930000-1 3.981100-1 6.344100-1 5.011900-1 5.776900-1 6.309600-1 5.232900-1 7.943300-1 4.714700-1 1.000000+0 4.224200-1 1.258900+0 3.762700-1 1.584900+0 3.331400-1 1.995300+0 2.931300-1 2.511900+0 2.563500-1 3.162300+0 2.228200-1 3.981100+0 1.925500-1 5.011900+0 1.654800-1 6.309600+0 1.414800-1 7.943300+0 1.203900-1 1.000000+1 1.019900-1 1.258900+1 8.605200-2 1.584900+1 7.234300-2 1.995300+1 6.061700-2 2.511900+1 5.064000-2 3.162300+1 4.219100-2 3.981100+1 3.506600-2 5.011900+1 2.908000-2 6.309600+1 2.406800-2 7.943300+1 1.988300-2 1.000000+2 1.639900-2 1.258900+2 1.350500-2 1.584900+2 1.110600-2 1.995300+2 9.121600-3 2.511900+2 7.483100-3 3.162300+2 6.132300-3 3.981100+2 5.020200-3 5.011900+2 4.106000-3 6.309600+2 3.355300-3 7.943300+2 2.739600-3 1.000000+3 2.235200-3 1.258900+3 1.822300-3 1.584900+3 1.484700-3 1.995300+3 1.208900-3 2.511900+3 9.836800-4 3.162300+3 7.999700-4 3.981100+3 6.502100-4 5.011900+3 5.282100-4 6.309600+3 4.288900-4 7.943300+3 3.480800-4 1.000000+4 2.823600-4 1.258900+4 2.289500-4 1.584900+4 1.855700-4 1.995300+4 1.503500-4 2.511900+4 1.217600-4 3.162300+4 9.857500-5 3.981100+4 7.977500-5 5.011900+4 6.453800-5 6.309600+4 5.219400-5 7.943300+4 4.219800-5 1.000000+5 3.410500-5 1 2000 7 7 4.002600+0 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584205-4 1.995262-4 1.994173-4 2.511886-4 2.510160-4 3.162278-4 3.159542-4 3.981072-4 3.976732-4 5.011872-4 5.005017-4 6.309573-4 6.298707-4 7.943282-4 7.926121-4 1.000000-3 9.972885-4 1.258925-3 1.254637-3 1.584893-3 1.578165-3 1.995262-3 1.984677-3 2.511886-3 2.495372-3 3.162278-3 3.136602-3 3.981072-3 3.941481-3 5.011872-3 4.951101-3 6.309573-3 6.216964-3 7.943282-3 7.802571-3 1.000000-2 9.786491-3 1.258925-2 1.226494-2 1.584893-2 1.535489-2 1.995262-2 1.919883-2 2.511886-2 2.396523-2 3.162278-2 2.985836-2 3.981072-2 3.711747-2 5.011872-2 4.602293-2 6.309573-2 5.690285-2 7.943282-2 7.013522-2 1.000000-1 8.615659-2 1.258925-1 1.054698-1 1.584893-1 1.286536-1 1.995262-1 1.563785-1 2.511886-1 1.894142-1 3.162278-1 2.286440-1 3.981072-1 2.750822-1 5.011872-1 3.299116-1 6.309573-1 3.945051-1 7.943282-1 4.705203-1 1.000000+0 5.599690-1 1.258925+0 6.653313-1 1.584893+0 7.896645-1 1.995262+0 9.367301-1 2.511886+0 1.111242+0 3.162278+0 1.318927+0 3.981072+0 1.566807+0 5.011872+0 1.863552+0 6.309573+0 2.219692+0 7.943282+0 2.648156+0 1.000000+1 3.164712+0 1.258925+1 3.788713+0 1.584893+1 4.543826+0 1.995262+1 5.458962+0 2.511886+1 6.569682+0 3.162278+1 7.919615+0 3.981072+1 9.562051+0 5.011872+1 1.156280+1 6.309573+1 1.400240+1 7.943282+1 1.697998+1 1.000000+2 2.061735+1 1.258925+2 2.506457+1 1.584893+2 3.050617+1 1.995262+2 3.716934+1 2.511886+2 4.533445+1 3.162278+2 5.534704+1 3.981072+2 6.763146+1 5.011872+2 8.271474+1 6.309573+2 1.012442+2 7.943282+2 1.240202+2 1.000000+3 1.520295+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 2000 7 9 4.002600+0 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090665-8 7.943282-5 1.728482-8 1.000000-4 2.739249-8 1.258925-4 4.340687-8 1.584893-4 6.877522-8 1.995262-4 1.089796-7 2.511886-4 1.726696-7 3.162278-4 2.735285-7 3.981072-4 4.339473-7 5.011872-4 6.855691-7 6.309573-4 1.086617-6 7.943282-4 1.716087-6 1.000000-3 2.711456-6 1.258925-3 4.288563-6 1.584893-3 6.727892-6 1.995262-3 1.058524-5 2.511886-3 1.651445-5 3.162278-3 2.567613-5 3.981072-3 3.959085-5 5.011872-3 6.077117-5 6.309573-3 9.260898-5 7.943282-3 1.407111-4 1.000000-2 2.135092-4 1.258925-2 3.243128-4 1.584893-2 4.940447-4 1.995262-2 7.537886-4 2.511886-2 1.153635-3 3.162278-2 1.764414-3 3.981072-2 2.693246-3 5.011872-2 4.095790-3 6.309573-2 6.192880-3 7.943282-2 9.297601-3 1.000000-1 1.384341-2 1.258925-1 2.042277-2 1.584893-1 2.983568-2 1.995262-1 4.314769-2 2.511886-1 6.177444-2 3.162278-1 8.758378-2 3.981072-1 1.230249-1 5.011872-1 1.712756-1 6.309573-1 2.364523-1 7.943282-1 3.238080-1 1.000000+0 4.400310-1 1.258925+0 5.935941-1 1.584893+0 7.952287-1 1.995262+0 1.058532+0 2.511886+0 1.400644+0 3.162278+0 1.843351+0 3.981072+0 2.414264+0 5.011872+0 3.148320+0 6.309573+0 4.089881+0 7.943282+0 5.295127+0 1.000000+1 6.835288+0 1.258925+1 8.800541+0 1.584893+1 1.130511+1 1.995262+1 1.449366+1 2.511886+1 1.854918+1 3.162278+1 2.370316+1 3.981072+1 3.024867+1 5.011872+1 3.855593+1 6.309573+1 4.909333+1 7.943282+1 6.245284+1 1.000000+2 7.938265+1 1.258925+2 1.008280+2 1.584893+2 1.279832+2 1.995262+2 1.623569+2 2.511886+2 2.058542+2 3.162278+2 2.608807+2 3.981072+2 3.304757+2 5.011872+2 4.184725+2 6.309573+2 5.297132+2 7.943282+2 6.703081+2 1.000000+3 8.479705+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 2000 7 0 4.002600+0 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 2.342000-5 8.164340+6 2.540973-5 7.092028+6 2.754229-5 6.124288+6 3.019952-5 5.138770+6 3.311311-5 4.280394+6 3.672823-5 3.460117+6 4.120975-5 2.711523+6 4.677351-5 2.057654+6 5.370318-5 1.510589+6 6.165950-5 1.100882+6 7.161434-5 7.753070+5 8.317638-5 5.417804+5 9.660509-5 3.756308+5 1.109175-4 2.659520+5 1.273503-4 1.869537+5 1.462177-4 1.304428+5 1.678804-4 9.029770+4 1.905461-4 6.399792+4 2.162719-4 4.504787+4 2.454709-4 3.149129+4 2.800000-4 2.155160+4 3.200000-4 1.456054+4 3.630781-4 9.983011+3 4.200000-4 6.411620+3 4.841724-4 4.130207+3 5.559043-4 2.673505+3 6.606934-4 1.539894+3 9.225714-4 5.231426+2 1.333521-3 1.607001+2 1.698244-3 7.355183+1 1.927525-3 4.861848+1 2.483133-3 2.099525+1 4.466836-3 2.958413+0 6.165950-3 1.002369+0 8.810489-3 2.990383-1 1.428894-2 5.754295-2 2.851018-2 5.437138-3 5.688529-2 5.110215-4 8.413951-2 1.343254-4 1.096478-1 5.477781-5 1.428894-1 2.251127-5 1.698244-1 1.268994-5 2.000000-1 7.427700-6 2.317395-1 4.614360-6 2.630268-1 3.086061-6 2.951209-1 2.155080-6 3.311311-1 1.515502-6 3.672823-1 1.111731-6 4.073803-1 8.217025-7 4.466836-1 6.324772-7 4.897788-1 4.902735-7 5.370318-1 3.829728-7 5.821032-1 3.105670-7 6.309573-1 2.534542-7 6.839117-1 2.082553-7 7.413102-1 1.722705-7 8.035261-1 1.434648-7 8.810489-1 1.174784-7 9.772372-1 9.462500-8 1.122018+0 7.153977-8 1.258925+0 5.706435-8 1.364583+0 4.904141-8 1.479108+0 4.242654-8 1.584893+0 3.772357-8 1.717908+0 3.311443-8 1.862087+0 2.924924-8 2.187762+0 2.308985-8 2.511886+0 1.898815-8 2.884032+0 1.572516-8 3.311311+0 1.311495-8 3.890451+0 1.069240-8 4.677351+0 8.533832-9 5.754399+0 6.677478-9 7.244360+0 5.126597-9 9.440609+0 3.814996-9 1.288250+1 2.721366-9 1.798871+1 1.907261-9 3.090295+1 1.085222-9 5.888437+1 5.61206-10 1.174898+2 2.78938-10 4.677351+2 6.96209-11 2.951209+4 1.10091-12 1.000000+5 3.24900-13 1 2000 7 0 4.002600+0 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 2.342000-5 2.342000-5 1.000000+5 2.342000-5 1 2000 7 9 4.002600+0 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 2.342000-5 0.0 1.000000+5 1.000000+5 1 2000 7 0 4.002600+0 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 2.342000-5 8.164340+6 2.540973-5 7.092028+6 2.754229-5 6.124288+6 3.019952-5 5.138770+6 3.311311-5 4.280394+6 3.672823-5 3.460117+6 4.120975-5 2.711523+6 4.677351-5 2.057654+6 5.370318-5 1.510589+6 6.165950-5 1.100882+6 7.161434-5 7.753070+5 8.317638-5 5.417804+5 9.660509-5 3.756308+5 1.109175-4 2.659520+5 1.273503-4 1.869537+5 1.462177-4 1.304428+5 1.678804-4 9.029770+4 1.905461-4 6.399792+4 2.162719-4 4.504787+4 2.454709-4 3.149129+4 2.800000-4 2.155160+4 3.200000-4 1.456054+4 3.630781-4 9.983011+3 4.200000-4 6.411620+3 4.841724-4 4.130207+3 5.559043-4 2.673505+3 6.606934-4 1.539894+3 9.225714-4 5.231426+2 1.333521-3 1.607001+2 1.698244-3 7.355183+1 1.927525-3 4.861848+1 2.483133-3 2.099525+1 4.466836-3 2.958413+0 6.165950-3 1.002369+0 8.810489-3 2.990383-1 1.428894-2 5.754295-2 2.851018-2 5.437138-3 5.688529-2 5.110215-4 8.413951-2 1.343254-4 1.096478-1 5.477781-5 1.428894-1 2.251127-5 1.698244-1 1.268994-5 2.000000-1 7.427700-6 2.317395-1 4.614360-6 2.630268-1 3.086061-6 2.951209-1 2.155080-6 3.311311-1 1.515502-6 3.672823-1 1.111731-6 4.073803-1 8.217025-7 4.466836-1 6.324772-7 4.897788-1 4.902735-7 5.370318-1 3.829728-7 5.821032-1 3.105670-7 6.309573-1 2.534542-7 6.839117-1 2.082553-7 7.413102-1 1.722705-7 8.035261-1 1.434648-7 8.810489-1 1.174784-7 9.772372-1 9.462500-8 1.122018+0 7.153977-8 1.258925+0 5.706435-8 1.364583+0 4.904141-8 1.479108+0 4.242654-8 1.584893+0 3.772357-8 1.717908+0 3.311443-8 1.862087+0 2.924924-8 2.187762+0 2.308985-8 2.511886+0 1.898815-8 2.884032+0 1.572516-8 3.311311+0 1.311495-8 3.890451+0 1.069240-8 4.677351+0 8.533832-9 5.754399+0 6.677478-9 7.244360+0 5.126597-9 9.440609+0 3.814996-9 1.288250+1 2.721366-9 1.798871+1 1.907261-9 3.090295+1 1.085222-9 5.888437+1 5.61206-10 1.174898+2 2.78938-10 4.677351+2 6.96209-11 2.951209+4 1.10091-12 1.000000+5 3.24900-13 1 2000 7 0 4.002600+0 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 2.342000-5 2.342000-5 1.000000+5 2.342000-5 1 2000 7 9 4.002600+0 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.342000-5 0.0 1.000000+5 1.000000+5 1 2000 7 0 4.002600+0 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.45239-10 1.028750+0 1.452390-9 1.036640+0 1.452390-8 1.054080+0 1.452390-7 1.087100+0 1.105910-6 1.093710+0 1.452390-6 1.102600+0 2.013900-6 1.110700+0 2.626820-6 1.120600+0 3.514420-6 1.133300+0 4.887270-6 1.147500+0 6.749010-6 1.158200+0 8.387650-6 1.174100+0 1.120800-5 1.190110+0 1.452390-5 1.205100+0 1.806540-5 1.227500+0 2.416320-5 1.250000+0 3.127000-5 1.281300+0 4.281760-5 1.308600+0 5.448490-5 1.332500+0 6.589830-5 1.374400+0 8.858550-5 1.405800+0 1.077520-4 1.452900+0 1.397950-4 1.500000+0 1.755000-4 1.562500+0 2.278450-4 1.641100+0 3.007340-4 1.706900+0 3.668560-4 1.811600+0 4.801440-4 1.952900+0 6.455860-4 2.000000+0 7.034000-4 2.044000+0 7.584000-4 2.163500+0 9.111150-4 2.372600+0 1.185750-3 2.647100+0 1.551720-3 3.000000+0 2.020000-3 3.437500+0 2.587060-3 4.000000+0 3.281000-3 4.750000+0 4.135020-3 5.000000+0 4.405000-3 6.000000+0 5.419000-3 7.000000+0 6.321000-3 8.000000+0 7.137000-3 9.000000+0 7.878000-3 1.000000+1 8.552000-3 1.100000+1 9.167000-3 1.200000+1 9.732000-3 1.300000+1 1.026000-2 1.400000+1 1.075000-2 1.500000+1 1.121000-2 1.600000+1 1.164000-2 1.800000+1 1.244000-2 2.000000+1 1.316000-2 2.200000+1 1.382000-2 2.400000+1 1.442000-2 2.600000+1 1.498000-2 2.800000+1 1.549000-2 3.000000+1 1.597000-2 4.000000+1 1.798000-2 5.000000+1 1.952000-2 6.000000+1 2.076000-2 8.000000+1 2.265000-2 1.000000+2 2.404000-2 1.500000+2 2.633000-2 2.000000+2 2.775000-2 3.000000+2 2.943000-2 4.000000+2 3.041000-2 5.000000+2 3.106000-2 6.000000+2 3.152000-2 8.000000+2 3.215000-2 1.000000+3 3.255000-2 1.500000+3 3.314000-2 2.000000+3 3.346000-2 3.000000+3 3.380000-2 4.000000+3 3.401000-2 5.000000+3 3.413000-2 6.000000+3 3.421000-2 8.000000+3 3.432000-2 1.000000+4 3.439000-2 1.500000+4 3.447000-2 2.000000+4 3.453000-2 3.000000+4 3.458000-2 4.000000+4 3.461000-2 5.000000+4 3.463000-2 6.000000+4 3.464000-2 8.000000+4 3.465000-2 1.000000+5 3.466000-2 1 2000 7 8 4.002600+0 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 2000 7 9 4.002600+0 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 2000 7 0 4.002600+0 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 2.008460-8 2.136250+0 2.008460-7 2.214800+0 1.143760-6 2.234200+0 1.538560-6 2.253680+0 2.008460-6 2.281500+0 2.813200-6 2.307000+0 3.695140-6 2.338200+0 4.968440-6 2.377400+0 6.880700-6 2.410200+0 8.751100-6 2.446800+0 1.113190-5 2.485900+0 1.401570-5 2.532900+0 1.793700-5 2.556430+0 2.008460-5 2.611900+0 2.561000-5 2.660400+0 3.096090-5 2.745300+0 4.143880-5 2.809000+0 5.018450-5 2.904500+0 6.464890-5 3.000000+0 8.070000-5 3.125000+0 1.040650-4 3.234400+0 1.266320-4 3.425800+0 1.705500-4 3.569300+0 2.068340-4 3.784700+0 2.659380-4 4.000000+0 3.295000-4 4.250000+0 4.072380-4 4.625000+0 5.294480-4 5.000000+0 6.565000-4 5.500000+0 8.308980-4 6.000000+0 1.008000-3 6.750000+0 1.272770-3 7.000000+0 1.360000-3 8.000000+0 1.701000-3 9.000000+0 2.028000-3 1.000000+1 2.339000-3 1.100000+1 2.635000-3 1.200000+1 2.915000-3 1.300000+1 3.180000-3 1.400000+1 3.432000-3 1.500000+1 3.672000-3 1.600000+1 3.901000-3 1.800000+1 4.328000-3 2.000000+1 4.718000-3 2.200000+1 5.079000-3 2.400000+1 5.413000-3 2.600000+1 5.723000-3 2.800000+1 6.013000-3 3.000000+1 6.285000-3 4.000000+1 7.437000-3 5.000000+1 8.344000-3 6.000000+1 9.087000-3 8.000000+1 1.025000-2 1.000000+2 1.115000-2 1.500000+2 1.271000-2 2.000000+2 1.375000-2 3.000000+2 1.509000-2 4.000000+2 1.592000-2 5.000000+2 1.650000-2 6.000000+2 1.693000-2 8.000000+2 1.753000-2 1.000000+3 1.793000-2 1.500000+3 1.854000-2 2.000000+3 1.888000-2 3.000000+3 1.926000-2 4.000000+3 1.948000-2 5.000000+3 1.961000-2 6.000000+3 1.971000-2 8.000000+3 1.984000-2 1.000000+4 1.992000-2 1.500000+4 2.003000-2 2.000000+4 2.009000-2 3.000000+4 2.015000-2 4.000000+4 2.019000-2 5.000000+4 2.022000-2 6.000000+4 2.023000-2 8.000000+4 2.025000-2 1.000000+5 2.026000-2 1 2000 7 8 4.002600+0 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 2000 7 9 4.002600+0 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 2000 7 0 4.002600+0 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 2.000000+0 1.000000+5 2.000000+0 5.000000+5 1.999500+0 7.187500+5 1.998920+0 9.062500+5 1.998500+0 1.000000+6 1.998200+0 1.125000+6 1.997620+0 1.253900+6 1.997080+0 1.341800+6 1.996750+0 1.447300+6 1.996260+0 1.500000+6 1.996000+0 1.625000+6 1.995220+0 2.000000+6 1.993000+0 2.250000+6 1.991050+0 2.375000+6 1.990150+0 2.500000+6 1.989100+0 2.625000+6 1.987900+0 3.000000+6 1.984400+0 3.234400+6 1.981750+0 4.000000+6 1.972400+0 4.500000+6 1.965000+0 5.000000+6 1.956900+0 5.500000+6 1.947940+0 6.500000+6 1.927740+0 6.625000+6 1.925080+0 7.000000+6 1.916900+0 8.500000+6 1.879770+0 9.000000+6 1.866000+0 1.000000+7 1.836400+0 1.125000+7 1.797290+0 1.250000+7 1.755100+0 1.375000+7 1.709510+0 1.437500+7 1.685550+0 1.500000+7 1.661200+0 1.625000+7 1.610920+0 1.750000+7 1.560300+0 1.875000+7 1.509490+0 1.937500+7 1.484040+0 2.000000+7 1.458500+0 2.125000+7 1.406680+0 2.312500+7 1.328910+0 2.500000+7 1.252200+0 2.625000+7 1.202060+0 2.812500+7 1.128960+0 3.000000+7 1.058600+0 3.125000+7 1.013310+0 3.250000+7 9.694590-1 3.343800+7 9.374650-1 3.437500+7 9.064460-1 3.507800+7 8.836990-1 3.718800+7 8.182990-1 3.753900+7 8.078460-1 4.000000+7 7.379400-1 4.250000+7 6.727080-1 4.437500+7 6.274720-1 4.625000+7 5.852890-1 4.718800+7 5.653120-1 5.000000+7 5.095300-1 5.250000+7 4.647410-1 5.500000+7 4.241810-1 5.625000+7 4.053510-1 6.000000+7 3.541600-1 6.437500+7 3.032640-1 6.750000+7 2.719400-1 6.812500+7 2.661220-1 7.000000+7 2.495200-1 7.500000+7 2.106580-1 8.000000+7 1.786000-1 8.500000+7 1.520310-1 9.000000+7 1.299500-1 9.500000+7 1.115250-1 1.000000+8 9.612000-2 1.062500+8 8.025630-2 1.144500+8 6.393380-2 1.214800+8 5.301640-2 1.250000+8 4.840000-2 1.359400+8 3.683870-2 1.453100+8 2.950720-2 1.500000+8 2.651000-2 1.625000+8 2.015430-2 1.718800+8 1.657500-2 1.859400+8 1.254440-2 2.000000+8 9.640000-3 2.125000+8 7.715150-3 2.312500+8 5.629840-3 2.500000+8 4.196200-3 2.875000+8 2.464570-3 3.000000+8 2.093400-3 3.500000+8 1.153700-3 4.000000+8 6.855900-4 5.000000+8 2.854300-4 6.000000+8 1.389000-4 7.000000+8 7.539800-5 8.000000+8 4.436300-5 1.000000+9 1.825600-5 1.500000+9 3.625900-6 2.000000+9 1.150500-6 5.000000+9 2.974900-8 8.000000+9 4.578000-9 1.00000+10 1.885500-9 1.83860+10 1.67438-10 2.62810+10 4.06961-11 3.08890+10 2.15358-11 3.95280+10 8.19526-12 5.03940+10 3.18853-12 5.94880+10 1.68178-12 6.96160+10 9.21300-13 8.04680+10 5.31349-13 9.34890+10 3.01910-13 1.00000+11 2.34610-13 1.17140+11 1.30262-13 1.36540+11 7.40649-14 1.70670+11 3.28518-14 2.04860+11 1.70225-14 2.52170+11 8.12279-15 3.35790+11 2.97070-15 4.68190+11 9.42441-16 6.33390+11 3.37456-16 8.34870+11 1.33769-16 1.31660+12 2.98321-17 1.95920+12 8.24999-18 3.59790+12 1.20028-18 8.26120+12 9.14345-20 2.87420+13 2.11045-21 1.00000+14 5.13120-23 2.05350+15 6.09751-27 1.00000+17 5.12050-32 1 2000 7 0 4.002600+0 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 5.00000-13 1.000000+2 5.00000-11 1.000000+3 5.000000-9 1.000000+4 5.000000-7 1.000000+5 5.000000-5 5.000000+5 1.250000-3 7.187500+5 2.583008-3 9.062500+5 4.106445-3 1.000000+6 5.000000-3 1.125000+6 5.833370-3 1.253900+6 6.760940-3 1.341800+6 7.443730-3 1.447300+6 8.328310-3 1.500000+6 8.800000-3 1.625000+6 1.000290-2 2.000000+6 1.410000-2 2.250000+6 1.708470-2 2.375000+6 1.874350-2 2.500000+6 2.059000-2 2.625000+6 2.267080-2 3.000000+6 2.990000-2 3.234400+6 3.470670-2 4.000000+6 5.190000-2 4.500000+6 6.537150-2 5.000000+6 8.054000-2 5.500000+6 9.697850-2 6.500000+6 1.334180-1 6.625000+6 1.383070-1 7.000000+6 1.534700-1 8.500000+6 2.206770-1 9.000000+6 2.450200-1 1.000000+7 2.957500-1 1.125000+7 3.620240-1 1.250000+7 4.321500-1 1.375000+7 5.065660-1 1.437500+7 5.449120-1 1.500000+7 5.835200-1 1.625000+7 6.604830-1 1.750000+7 7.360300-1 1.875000+7 8.092800-1 1.937500+7 8.450660-1 2.000000+7 8.805600-1 2.125000+7 9.502550-1 2.312500+7 1.050970+0 2.500000+7 1.145700+0 2.625000+7 1.204720+0 2.812500+7 1.287180+0 3.000000+7 1.362400+0 3.125000+7 1.408550+0 3.250000+7 1.451890+0 3.343800+7 1.482540+0 3.437500+7 1.511630+0 3.507800+7 1.532450+0 3.718800+7 1.590060+0 3.753900+7 1.599000+0 4.000000+7 1.656600+0 4.250000+7 1.706670+0 4.437500+7 1.739430+0 4.625000+7 1.768660+0 4.718800+7 1.781980+0 5.000000+7 1.817500+0 5.250000+7 1.843980+0 5.500000+7 1.866590+0 5.625000+7 1.876590+0 6.000000+7 1.902300+0 6.437500+7 1.925190+0 6.750000+7 1.938110+0 6.812500+7 1.940300+0 7.000000+7 1.946700+0 7.500000+7 1.960160+0 8.000000+7 1.970200+0 8.500000+7 1.977420+0 9.000000+7 1.982900+0 9.500000+7 1.986900+0 1.000000+8 1.989900+0 1.062500+8 1.992680+0 1.144500+8 1.995110+0 1.214800+8 1.996490+0 1.250000+8 1.997100+0 1.359400+8 1.998070+0 1.453100+8 1.998790+0 1.500000+8 1.999000+0 1.625000+8 1.999250+0 1.718800+8 1.999430+0 1.859400+8 1.999670+0 2.000000+8 1.999900+0 2.125000+8 1.999930+0 2.312500+8 1.999970+0 2.500000+8 2.000000+0 2.875000+8 2.000000+0 3.000000+8 2.000000+0 3.500000+8 2.000000+0 4.000000+8 2.000000+0 5.000000+8 2.000000+0 6.000000+8 2.000000+0 7.000000+8 2.000000+0 8.000000+8 2.000000+0 1.000000+9 2.000000+0 1.500000+9 2.000000+0 2.000000+9 2.000000+0 5.000000+9 2.000000+0 8.000000+9 2.000000+0 1.00000+10 2.000000+0 1.83860+10 2.000000+0 2.62810+10 2.000000+0 3.08890+10 2.000000+0 3.95280+10 2.000000+0 5.03940+10 2.000000+0 5.94880+10 2.000000+0 6.96160+10 2.000000+0 8.04680+10 2.000000+0 9.34890+10 2.000000+0 1.00000+11 2.000000+0 1.17140+11 2.000000+0 1.36540+11 2.000000+0 1.70670+11 2.000000+0 2.04860+11 2.000000+0 2.52170+11 2.000000+0 3.35790+11 2.000000+0 4.68190+11 2.000000+0 6.33390+11 2.000000+0 8.34870+11 2.000000+0 1.31660+12 2.000000+0 1.95920+12 2.000000+0 3.59790+12 2.000000+0 8.26120+12 2.000000+0 2.87420+13 2.000000+0 1.00000+14 2.000000+0 2.05350+15 2.000000+0 1.00000+17 2.000000+0 1 2000 7 0 4.002600+0 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.055054-6 0.0 9.190366-6 0.0 1.869875-5 0.0 1.874478-5 2.23355-14 1.879080-5 4.41958-14 1.883683-5 8.07272-14 1.888285-5 1.36117-13 1.892888-5 2.11865-13 1.897490-5 3.04411-13 1.902093-5 4.03752-13 1.906695-5 4.94337-13 1.911298-5 5.58709-13 1.915900-5 5.82911-13 1.920502-5 5.61400-13 1.925105-5 4.99110-13 1.932009-5 3.60026-13 1.938912-5 2.17017-13 1.943515-5 1.40098-13 1.948117-5 8.34886-14 1.952502-5 4.77112-14 1.952511-5 6.245118-4 1.961523-5 1.717491+0 1.962123-5 1.830800+0 1.966929-5 3.343792+0 1.971735-5 5.637601+0 1.977141-5 9.252126+0 1.985561-5 1.621143+1 1.991259-5 2.063430+1 1.996205-5 2.322379+1 2.000889-5 2.407381+1 2.006154-5 2.282434+1 2.011045-5 1.999684+1 2.018611-5 1.385843+1 2.024599-5 8.982595+0 2.029405-5 5.798645+0 2.034211-5 3.455464+0 2.039017-5 1.900821+0 2.046221-5 4.837078-1 2.048618-5 1.374792-3 2.048629-5 0.0 2.137811-5 0.0 2.148499-5 4.856091-1 2.153596-5 8.647212-1 2.158858-5 1.458039+0 2.164923-5 2.422459+0 2.178719-5 5.058108+0 2.182958-5 5.675482+0 2.186448-5 6.040871+0 2.191468-5 6.194379+0 2.196656-5 5.889074+0 2.202541-5 5.064819+0 2.213468-5 3.136832+0 2.217226-5 2.547917+0 2.222002-5 1.985004+0 2.225171-5 1.778238+0 2.228055-5 1.647481+0 2.232939-5 1.624688+0 2.243982-5 2.084242+0 2.251419-5 2.642616+0 2.257179-5 2.917234+0 2.263356-5 3.033157+0 2.277059-5 2.929865+0 2.295831-5 2.762575+0 2.319294-5 2.732342+0 3.431379-5 1.953546+0 4.186730-5 1.569336+0 4.960744-5 1.280595+0 5.937671-5 1.020094+0 6.990409-5 8.208772-1 8.119001-5 6.670963-1 9.130740-5 5.634712-1 1.067551-4 4.470564-1 1.217924-4 3.651433-1 1.388002-4 2.967969-1 1.550768-4 2.475646-1 1.753502-4 2.013534-1 1.986801-4 1.620708-1 2.255041-4 1.291928-1 2.531608-4 1.044068-1 2.770400-4 8.811064-2 3.042964-4 7.351686-2 3.407541-4 5.885722-2 3.809581-4 4.703688-2 4.275315-4 3.714121-2 4.745412-4 2.985160-2 5.311490-4 2.346011-2 5.836695-4 1.911550-2 6.484636-4 1.517329-2 7.218790-4 1.194999-2 7.830661-4 9.966279-3 8.684603-4 7.907910-3 9.440608-4 6.567198-3 1.046562-3 5.232993-3 1.160831-3 4.164407-3 1.285618-3 3.324858-3 1.425474-3 2.643139-3 1.543114-3 2.214240-3 1.681173-3 1.828843-3 1.859755-3 1.455036-3 2.066990-3 1.141181-3 2.286906-3 9.029569-4 2.483133-3 7.461976-4 2.684856-3 6.218728-4 2.932693-3 5.058058-4 3.241857-3 4.001770-4 3.514204-3 3.314467-4 3.818204-3 2.729886-4 4.169105-3 2.222976-4 4.600993-3 1.764134-4 5.086971-3 1.392455-4 5.621203-3 1.100252-4 6.106091-3 9.052837-5 6.745403-3 7.138103-5 7.306487-3 5.898597-5 8.052132-3 4.676040-5 8.727248-3 3.858257-5 9.519726-3 3.129961-5 1.048666-2 2.479557-5 1.133851-2 2.054659-5 1.246220-2 1.636162-5 1.374709-2 1.291920-5 1.490929-2 1.062248-5 1.639771-2 8.440090-6 1.778457-2 6.938706-6 1.965400-2 5.449249-6 2.167833-2 4.300322-6 2.381387-2 3.427260-6 2.629769-2 2.697082-6 2.851018-2 2.219257-6 3.095840-2 1.817467-6 3.385027-2 1.463899-6 3.703939-2 1.176969-6 4.079524-2 9.314243-7 4.400092-2 7.753926-7 4.751493-2 6.436048-7 5.247080-2 5.060983-7 5.792762-2 3.982621-7 6.391601-2 3.140925-7 7.023548-2 2.501728-7 7.758807-2 1.967476-7 8.413951-2 1.618334-7 9.160571-2 1.320725-7 1.011484-1 1.042417-7 1.096478-1 8.599560-8 1.193775-1 7.036022-8 1.318133-1 5.569419-8 1.428894-1 4.605234-8 1.554289-1 3.788567-8 1.715693-1 3.014077-8 1.892873-1 2.410026-8 2.053641-1 2.004410-8 2.275571-1 1.594028-8 2.524847-1 1.270129-8 2.785338-1 1.029029-8 3.031927-1 8.611578-9 3.311311-1 7.184842-9 3.672823-1 5.845351-9 4.051664-1 4.841045-9 4.466836-1 4.044795-9 5.011872-1 3.305781-9 5.626449-1 2.731667-9 6.309573-1 2.289031-9 7.192419-1 1.904072-9 8.035261-1 1.650330-9 9.354393-1 1.387594-9 1.070165+0 1.211070-9 1.286622+0 1.017485-9 1.546860+0 8.54844-10 1.859734+0 7.18201-10 2.235892+0 6.03399-10 2.688134+0 5.06948-10 3.231848+0 4.25915-10 3.885536+0 3.57834-10 4.671441+0 3.00636-10 5.616308+0 2.52580-10 6.752287+0 2.12206-10 8.118035+0 1.78286-10 9.760024+0 1.49788-10 1.000000+1 2.85205-10 1 2000 7 0 4.002600+0 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-1.999925+0 3.055054-6-1.999202+0 9.190366-6-1.979189+0 1.335925-5-1.886523+0 1.529307-5-1.740891+0 1.640107-5-1.560442+0 1.712890-5-1.350466+0 1.756187-5-1.157955+0 1.793713-5-9.194718-1 1.818853-5-7.003006-1 1.830811-5-5.717661-1 1.840577-5-4.516569-1 1.847902-5-3.509304-1 1.853395-5-2.683983-1 1.861635-5-1.316390-1 1.869875-5 2.342219-2 1.874478-5 1.194880-1 1.879080-5 2.232535-1 1.883683-5 3.358131-1 1.888285-5 4.583431-1 1.892888-5 5.921342-1 1.897490-5 7.390299-1 1.906695-5 1.080465+0 1.915900-5 1.505843+0 1.922804-5 1.901758+0 1.929707-5 2.391238+0 1.936611-5 3.017555+0 1.943515-5 3.862783+0 1.948117-5 4.640069+0 1.951269-5 5.377699+0 1.954362-5 6.429476+0 1.962123-5 8.485135+0 1.967530-5 1.019750+1 1.973387-5 1.171290+1 1.978193-5 1.223965+1 1.981947-5 1.187107+1 1.985561-5 1.072412+1 1.989438-5 8.553409+0 1.990958-5 7.370023+0 1.994497-5 4.311912+0 1.995645-5 3.121077+0 1.996205-5 2.429622+0 1.996751-5 1.850274+0 1.998660-5-8.171752-2 1.999138-5-5.758888-1 1.999966-5-1.479167+0 2.000498-5-2.138114+0 2.000889-5-2.679920+0 2.005376-5 1.726500+0 2.005599-5 2.011446+0 2.006154-5 2.607306+0 2.007098-5 3.507691+0 2.011045-5 6.912190+0 2.014017-5 8.785117+0 2.016640-5 1.005449+1 2.019793-5 1.090755+1 2.023923-5 1.119916+1 2.028804-5 1.050765+1 2.034211-5 8.970221+0 2.040669-5 6.920410+0 2.047419-5 5.133159+0 2.049671-5 4.285959+0 2.052433-5 3.574565+0 2.056340-5 2.825627+0 2.061333-5 2.087477+0 2.066038-5 1.526870+0 2.070454-5 1.080411+0 2.074598-5 7.129647-1 2.076573-5 5.517525-1 2.080401-5 2.600977-1 2.083989-5 7.792839-3 2.087353-5-2.136737-1 2.090506-5-4.107077-1 2.099006-5-9.029174-1 2.125016-5-2.316804+0 2.134445-5-2.951203+0 2.137481-5-3.229689+0 2.142406-5-2.786615+0 2.148499-5-2.285869+0 2.155621-5-1.645559+0 2.160477-5-1.266704+0 2.165561-5-1.041439+0 2.167279-5-1.028436+0 2.169867-5-1.081442+0 2.172535-5-1.217058+0 2.174636-5-1.387495+0 2.178163-5-1.802637+0 2.180228-5-2.132596+0 2.185009-5-3.066042+0 2.186448-5-3.434316+0 2.190763-5-2.485196+0 2.191468-5-2.287311+0 2.197254-5-1.038640+0 2.198691-5-7.866024-1 2.201812-5-2.990730-1 2.202541-5-2.020292-1 2.203224-5-1.229592-1 2.204504-5 3.087166-3 2.205625-5 9.360803-2 2.206605-5 1.593519-1 2.207463-5 2.071714-1 2.208964-5 2.697821-1 2.210090-5 2.992051-1 2.210935-5 3.111027-1 2.212201-5 3.109449-1 2.212835-5 3.012898-1 2.213468-5 2.813367-1 2.215347-5 2.067818-1 2.216286-5 1.574671-1 2.216756-5 1.265616-1 2.217226-5 8.585669-2 2.219614-5-1.029222-1 2.220808-5-2.043165-1 2.221703-5-2.963608-1 2.222579-5-4.092082-1 2.227429-5-9.449503-1 2.228055-5-1.030811+0 2.234223-5-1.689037+0 2.238859-5-2.009724+0 2.245430-5-2.383517+0 2.250990-5-2.415312+0 2.257179-5-2.243466+0 2.265479-5-1.934222+0 2.273629-5-1.746226+0 2.284777-5-1.646050+0 2.306736-5-1.647662+0 2.320836-5-1.656035+0 2.386988-5-1.527403+0 2.564773-5-1.216388+0 2.759062-5-9.540548-1 2.986276-5-7.189956-1 3.144595-5-5.875031-1 3.371345-5-4.358719-1 3.619694-5-3.081334-1 3.821092-5-2.245451-1 4.054793-5-1.464271-1 4.186730-5-1.084339-1 4.304337-5-7.878495-2 4.434012-5-4.991692-2 4.554056-5-2.590257-2 4.673491-5-4.111041-3 4.717913-5 4.558166-3 4.831283-5 2.250488-2 4.960744-5 4.068834-2 5.140841-5 6.265957-2 5.416890-5 9.260318-2 5.695697-5 1.155890-1 6.010710-5 1.358381-1 6.386080-5 1.555750-1 7.228738-5 1.811631-1 8.395808-5 1.943966-1 1.013036-4 1.930723-1 1.388002-4 1.668323-1 1.952233-4 1.266351-1 2.474984-4 9.908289-2 2.963807-4 8.020877-2 3.557475-4 6.353148-2 4.184786-4 5.090575-2 4.841724-4 4.128435-2 5.569950-4 3.346146-2 6.364602-4 2.715713-2 7.218790-4 2.216014-2 8.162756-4 1.805325-2 9.225714-4 1.464848-2 1.046562-3 1.177076-2 1.160831-3 9.814715-3 1.313365-3 7.888549-3 1.485188-3 6.329504-3 1.681173-3 5.053190-3 1.859755-3 4.196872-3 2.066990-3 3.445440-3 2.334459-3 2.730049-3 2.619190-3 2.181312-3 2.990797-3 1.666276-3 3.307457-3 1.334399-3 3.665760-3 1.057648-3 4.074338-3 8.268153-4 4.512061-3 6.457389-4 4.987921-3 5.004189-4 5.417319-3 4.007832-4 5.891535-3 3.150639-4 6.371307-3 2.470777-4 6.858946-3 1.920727-4 7.306487-3 1.509731-4 7.767800-3 1.158231-4 8.235371-3 8.605182-5 8.727248-3 5.975312-5 9.141118-3 4.083403-5 9.519726-3 2.564332-5 9.877529-3 1.286294-5 1.004905-2 7.214755-6 1.027258-2 2.741570-7 1.048666-2-5.961061-6 1.069141-2-1.157754-5 1.107359-2-2.124000-5 1.158181-2-3.263721-5 1.222104-2-4.500298-5 1.318796-2-6.040259-5 1.460074-2-7.764275-5 1.639771-2-9.346495-5 1.893684-2-1.086147-4 2.307254-2-1.234328-4 2.974795-2-1.356193-4 4.325396-2-1.453154-4 8.224293-2-1.516108-4 2.468117-1-1.537507-4 7.413102-1-1.539884-4 2.235892+0-1.540147-4 6.752287+0-1.540176-4 1.000000+1-1.540178-4 1 3000 7 0 6.939000+0 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 4.973600-2 1.050678-6 6.538148-2 1.077219-6 7.537409-2 1.102930-6 8.647886-2 1.127838-6 9.878345-2 1.151968-6 1.123794-1 1.175343-6 1.273634-1 1.197988-6 1.438376-1 1.219926-6 1.619099-1 1.241178-6 1.816941-1 1.261765-6 2.033104-1 1.281710-6 2.268854-1 1.301031-6 2.525527-1 1.319748-6 2.804531-1 1.337880-6 3.107348-1 1.355446-6 3.435538-1 1.372463-6 3.790744-1 1.388948-6 4.174693-1 1.404918-6 4.589199-1 1.420389-6 5.036171-1 1.435376-6 5.517611-1 1.449895-6 6.035622-1 1.463960-6 6.592407-1 1.477586-6 7.190280-1 1.490786-6 7.831660-1 1.503574-6 8.519084-1 1.515961-6 9.255205-1 1.527962-6 1.004280+0 1.539588-6 1.088476+0 1.561761-6 1.274406+0 1.582569-6 1.485896+0 1.602098-6 1.725827+0 1.611407-6 1.857597+0 1.629161-6 2.147368+0 1.646087-6 2.479339+0 1.661956-6 2.851867+0 1.676833-6 3.269782+0 1.690780-6 3.737797+0 1.703855-6 4.260676+0 1.716113-6 4.843459+0 1.727605-6 5.491493+0 1.738379-6 6.210429+0 1.748479-6 7.006218+0 1.757948-6 7.885115+0 1.766825-6 8.853670+0 1.775148-6 9.918725+0 1.782950-6 1.108741+1 1.790265-6 1.236714+1 1.797122-6 1.376563+1 1.803551-6 1.529087+1 1.809578-6 1.695118+1 1.815229-6 1.875524+1 1.820526-6 2.071217+1 1.825492-6 2.283165+1 1.830148-6 2.512412+1 1.834513-6 2.760108+1 1.838605-6 3.027555+1 1.842441-6 3.316251+1 1.846037-6 3.627942+1 1.849409-6 3.964655+1 1.852570-6 4.328684+1 1.855533-6 4.722519+1 1.858311-6 5.148724+1 1.860916-6 5.609755+1 1.863358-6 6.107755+1 1.865647-6 6.644349+1 1.867793-6 7.220479+1 1.871817-6 8.537576+1 1.875338-6 1.001284+2 1.878419-6 1.162128+2 1.881114-6 1.332765+2 1.883473-6 1.509184+2 1.887343-6 1.863694+2 1.893633-6 2.652862+2 1.899482-6 3.678434+2 1.903428-6 4.552208+2 1.904866-6 4.908873+2 1.907205-6 5.531719+2 1.909543-6 6.206303+2 1.914220-6 7.695117+2 1.914805-6 7.892521+2 1.918898-6 9.325281+2 1.920505-6 9.904606+2 1.924007-6 1.117175+3 1.926364-6 1.200990+3 1.927743-6 1.248734+3 1.930005-6 1.323963+3 1.932445-6 1.399299+3 1.934612-6 1.459764+3 1.937005-6 1.518070+3 1.937702-6 1.533171+3 1.940565-6 1.585365+3 1.942779-6 1.614057+3 1.945588-6 1.634780+3 1.947283-6 1.638515+3 1.951854-6 1.615624+3 1.953113-6 1.601114+3 1.956606-6 1.543665+3 1.958473-6 1.503481+3 1.960991-6 1.440209+3 1.963366-6 1.372399+3 1.965668-6 1.300662+3 1.967715-6 1.233132+3 1.969688-6 1.165670+3 1.972684-6 1.060853+3 1.975022-6 9.787117+2 1.977653-6 8.876507+2 1.979700-6 8.187586+2 1.984377-6 6.709389+2 1.987519-6 5.811157+2 1.989054-6 5.403772+2 1.992400-6 4.589895+2 1.996411-6 3.749790+2 2.007079-6 2.169037+2 2.009735-6 1.899684+2 2.012385-6 1.670059+2 2.015029-6 1.474983+2 2.017669-6 1.309619+2 2.020303-6 1.169556+2 2.022933-6 1.050853+2 2.025557-6 9.500545+1 2.028176-6 8.641779+1 2.030790-6 7.906859+1 2.033399-6 7.274475+1 2.038606-6 6.248736+1 2.043793-6 5.458943+1 2.048960-6 4.834024+1 2.054107-6 4.327294+1 2.059234-6 3.907871+1 2.064340-6 3.554893+1 2.069427-6 3.253840+1 2.074494-6 2.994266+1 2.079541-6 2.768414+1 2.084568-6 2.570373+1 2.089575-6 2.395529+1 2.094563-6 2.240220+1 2.099532-6 2.101496+1 2.109430-6 1.864194+1 2.119251-6 1.669616+1 2.128996-6 1.507667+1 2.138664-6 1.371209+1 2.148256-6 1.255019+1 2.157774-6 1.155170+1 2.167217-6 1.068652+1 2.176587-6 9.931360+0 2.185883-6 9.267974+0 2.195107-6 8.681756+0 2.204259-6 8.160653+0 2.222419-6 7.272214+0 2.240295-6 6.547355+0 2.257893-6 5.947362+0 2.275215-6 5.444816+0 2.292266-6 5.019093+0 2.309052-6 4.654705+0 2.325575-6 4.339957+0 2.341839-6 4.065988+0 2.357850-6 3.826130+0 2.373610-6 3.614936+0 2.404639-6 3.256365+0 2.434697-6 2.966128+0 2.463817-6 2.728267+0 2.492026-6 2.530520+0 2.519354-6 2.363942+0 2.545828-6 2.222173+0 2.571474-6 2.100917+0 2.621165-6 1.899585+0 2.667749-6 1.742470+0 2.711422-6 1.617906+0 2.752366-6 1.517153+0 2.790750-6 1.434913+0 2.862721-6 1.303819+0 2.925696-6 1.208275+0 2.980798-6 1.136778+0 3.029013-6 1.082119+0 3.113389-6 9.998086-1 3.200000-6 9.290412-1 3.271594-6 8.775583-1 3.424521-6 7.862901-1 3.532243-6 7.329128-1 3.685518-6 6.625098-1 3.762155-6 6.220376-1 3.800474-6 5.935808-1 3.819634-6 5.748836-1 3.848281-6 5.450953-1 3.857730-6 5.375204-1 3.867178-6 5.328369-1 3.876627-6 5.322101-1 3.886076-6 5.366189-1 3.891677-6 5.418650-1 3.897278-6 5.491159-1 3.902063-6 5.568535-1 3.911632-6 5.761785-1 3.923871-6 6.064793-1 3.933320-6 6.317995-1 3.942769-6 6.564320-1 3.952218-6 6.783039-1 3.959745-6 6.926206-1 3.964262-6 6.996086-1 3.972413-6 7.089090-1 3.980564-6 7.138813-1 3.990013-6 7.145548-1 3.999462-6 7.105654-1 4.008910-6 7.030347-1 4.027808-6 6.820904-1 4.059953-6 6.456175-1 4.079091-6 6.286653-1 4.133185-6 5.963226-1 4.369849-6 5.073141-1 4.405348-6 4.925112-1 4.431973-6 4.792498-1 4.471910-6 4.529308-1 4.491878-6 4.360941-1 4.522972-6 4.091961-1 4.534077-6 4.020930-1 4.545182-6 3.981190-1 4.556288-6 3.984898-1 4.561840-6 4.006322-1 4.567393-6 4.042061-1 4.572946-6 4.092638-1 4.578498-6 4.158164-1 4.584051-6 4.238288-1 4.589604-6 4.332178-1 4.600709-6 4.555527-1 4.622920-6 5.081952-1 4.636802-6 5.401058-1 4.645131-6 5.566748-1 4.650683-6 5.661824-1 4.656236-6 5.742699-1 4.661789-6 5.808281-1 4.667342-6 5.857962-1 4.672913-6 5.891699-1 4.678485-6 5.909605-1 4.689644-6 5.901058-1 4.700802-6 5.841485-1 4.711961-6 5.743084-1 4.723119-6 5.618637-1 4.739596-6 5.411005-1 4.804875-6 4.625914-1 4.820978-6 4.462332-1 4.832844-6 4.354214-1 4.844710-6 4.261918-1 4.856576-6 4.191596-1 4.868443-6 4.149686-1 4.880309-6 4.141526-1 4.886242-6 4.151095-1 4.892175-6 4.169845-1 4.904041-6 4.233486-1 4.915908-6 4.326724-1 4.939640-6 4.558550-1 4.951506-6 4.669479-1 4.963372-6 4.758991-1 4.975239-6 4.817129-1 4.981593-6 4.833375-1 4.987948-6 4.838936-1 5.000225-6 4.820955-1 5.010837-6 4.779350-1 5.024780-6 4.699832-1 5.049334-6 4.542879-1 5.066095-6 4.460188-1 5.073888-6 4.434042-1 5.088220-6 4.407682-1 5.098443-6 4.404193-1 5.122997-6 4.427805-1 5.149072-6 4.459637-1 5.175888-6 4.466009-1 5.270308-6 4.408295-1 5.401931-6 4.383461-1 5.462220-6 4.343835-1 5.545466-6 4.274092-1 5.601411-6 4.257865-1 5.770000-6 4.250429-1 6.028622-6 4.220851-1 6.217016-6 4.211683-1 6.683439-6 4.222805-1 7.200000-6 4.265002-1 7.500000-6 4.296847-1 7.852356-6 4.342679-1 1.062663-5 4.721559-1 1.168154-5 4.833812-1 1.251699-5 4.904606-1 1.325867-5 4.948699-1 1.464715-5 4.996691-1 1.590460-5 5.009665-1 1.756871-5 4.973457-1 1.925009-5 4.884350-1 2.115225-5 4.731550-1 2.328197-5 4.493011-1 2.541071-5 4.203447-1 2.683417-5 3.980206-1 2.900062-5 3.591002-1 2.988290-5 3.420707-1 3.169111-5 3.040343-1 3.276719-5 2.804962-1 3.428613-5 2.450434-1 3.520650-5 2.231484-1 3.639113-5 1.938091-1 3.743646-5 1.679559-1 3.841208-5 1.434870-1 3.948313-5 1.167196-1 4.018418-5 9.954446-2 4.098806-5 8.041240-2 4.174169-5 6.327520-2 4.253535-5 4.641732-2 4.311060-5 3.524223-2 4.354345-5 2.763388-2 4.373158-5 2.457560-2 4.431375-5 1.614319-2 4.441298-5 1.487762-2 4.485953-5 9.927874-3 4.522817-5 6.893446-3 4.537120-5 6.003516-3 4.585089-5 4.307254-3 4.599241-5 4.224535-3 4.630060-5 4.798864-3 4.672220-5 7.455631-3 4.711745-5 1.222504-2 4.738058-5 1.684046-2 4.748800-5 1.909561-2 4.783539-5 2.801897-2 4.801029-5 3.354419-2 4.816107-5 3.892048-2 4.846639-5 5.172705-2 4.860065-5 5.825133-2 4.875263-5 6.635880-2 4.902098-5 8.271519-2 4.927256-5 1.006759-1 4.960744-5 1.291309-1 4.993682-5 1.631117-1 5.015942-5 1.900457-1 5.048416-5 2.360853-1 5.064429-5 2.621044-1 5.093515-5 3.152443-1 5.119079-5 3.667582-1 5.146479-5 4.209467-1 5.177993-5 4.674120-1 5.186653-5 4.749804-1 5.212437-5 4.814893-1 5.237862-5 4.658163-1 5.265489-5 4.299957-1 5.282611-5 4.008425-1 5.296369-5 3.744466-1 5.311152-5 3.435697-1 5.324208-5 3.144472-1 5.337265-5 2.839969-1 5.343793-5 2.684713-1 5.350322-5 2.529086-1 5.356850-5 2.374857-1 5.376435-5 1.948676-1 5.382963-5 1.833220-1 5.389492-5 1.741867-1 5.396020-5 1.684060-1 5.402548-5 1.671882-1 5.409077-5 1.720632-1 5.415605-5 1.849454-1 5.422133-5 2.082011-1 5.428662-5 2.447186-1 5.435190-5 2.979769-1 5.441718-5 3.721076-1 5.448247-5 4.719459-1 5.464567-5 8.723722-1 5.469464-5 1.046232+0 5.474360-5 1.250578+0 5.479427-5 1.497801+0 5.483227-5 1.709413+0 5.488214-5 2.024287+0 5.494026-5 2.448885+0 5.498523-5 2.823536+0 5.502275-5 3.168651+0 5.513530-5 4.394126+0 5.519654-5 5.186530+0 5.521695-5 5.470771+0 5.535219-5 7.603615+0 5.536910-5 7.899428+0 5.548744-5 1.012727+1 5.553393-5 1.106530+1 5.562268-5 1.291866+1 5.566917-5 1.390534+1 5.572464-5 1.507872+1 5.577483-5 1.612167+1 5.582660-5 1.716262+1 5.587653-5 1.811721+1 5.592698-5 1.901722+1 5.597136-5 1.974306+1 5.602841-5 2.056933+1 5.610026-5 2.141162+1 5.615697-5 2.190108+1 5.619310-5 2.212605+1 5.624600-5 2.232800+1 5.630230-5 2.237276+1 5.634758-5 2.228079+1 5.640168-5 2.202372+1 5.645603-5 2.161010+1 5.648260-5 2.135405+1 5.657784-5 2.017244+1 5.663183-5 1.934237+1 5.667733-5 1.856890+1 5.672718-5 1.765834+1 5.678145-5 1.661003+1 5.682677-5 1.570322+1 5.688505-5 1.451571+1 5.695260-5 1.313817+1 5.697512-5 1.268452+1 5.704274-5 1.135557+1 5.711883-5 9.947579+0 5.723795-5 8.003289+0 5.730509-5 7.074323+0 5.738474-5 6.142400+0 5.744511-5 5.560813+0 5.748622-5 5.225365+0 5.751377-5 5.027274+0 5.758512-5 4.609684+0 5.761823-5 4.460225+0 5.765970-5 4.309779+0 5.768851-5 4.227899+0 5.772716-5 4.145079+0 5.776010-5 4.097110+0 5.778447-5 4.073970+0 5.780856-5 4.060659+0 5.785590-5 4.059589+0 5.788051-5 4.070817+0 5.790973-5 4.093356+0 5.796581-5 4.160570+0 5.805217-5 4.310312+0 5.829135-5 4.834365+0 5.836286-5 4.981114+0 5.845313-5 5.142471+0 5.856335-5 5.295518+0 5.866791-5 5.393929+0 5.877547-5 5.451491+0 5.890220-5 5.473425+0 5.906149-5 5.454672+0 5.947660-5 5.354246+0 5.971890-5 5.337555+0 5.996593-5 5.358070+0 6.052337-5 5.464008+0 6.183829-5 5.757662+0 6.372663-5 6.111125+0 6.599607-5 6.496484+0 6.825386-5 6.844629+0 6.975292-5 7.052367+0 7.206656-5 7.337739+0 7.500000-5 7.644953+0 7.823428-5 7.921672+0 8.074394-5 8.100897+0 8.317637-5 8.238285+0 8.640829-5 8.386829+0 9.067760-5 8.523119+0 9.471283-5 8.612151+0 1.007054-4 8.673044+0 1.085664-4 8.681556+0 1.164758-4 8.640511+0 1.313654-4 8.484976+0 1.572590-4 8.166622+0 2.640698-4 7.224700+0 3.748008-4 6.670348+0 4.535090-4 6.352099+0 5.678393-4 6.022548+0 6.869674-4 5.678563+0 7.462090-4 5.528618+0 8.538916-4 5.273152+0 9.738152-4 5.004171+0 1.110102-3 4.725472+0 1.320719-3 4.335907+0 1.511297-3 4.032570+0 1.904278-3 3.530229+0 2.678552-3 2.890483+0 3.431538-3 2.488934+0 3.880519-3 2.297240+0 4.217233-3 2.169037+0 4.779205-3 1.971464+0 5.303118-3 1.805402+0 5.856295-3 1.647357+0 6.347121-3 1.519324+0 6.918310-3 1.384962+0 7.538482-3 1.254269+0 8.175389-3 1.135101+0 8.882461-3 1.018691+0 9.822744-3 8.869854-1 1.092176-2 7.607650-1 1.211640-2 6.503528-1 1.363729-2 5.402890-1 1.545534-2 4.411076-1 1.778162-2 3.490481-1 2.052816-2 2.728201-1 2.399192-2 2.073585-1 2.807687-2 1.562006-1 3.386789-2 1.105513-1 4.105492-2 7.695808-2 5.153029-2 4.978700-2 6.846440-2 2.863688-2 9.851910-2 1.397962-2 1.751010-1 4.457005-3 5.308844-1 4.863136-4 1.619761+0 5.225846-5 4.891600+0 5.730227-6 1.477239+1 6.283093-7 4.461192+1 6.889277-8 1.347258+2 7.553942-9 4.068655+2 8.28273-10 1.258925+3 8.65118-11 3.981072+3 8.65118-12 1.258925+4 8.65118-13 3.981072+4 8.65118-14 1.000000+5 1.37112-14 1 3000 7 7 6.939000+0 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 3000 7 0 6.939000+0 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 5.797700-7 1.258900-6 9.188700-7 1.584900-6 1.456300-6 1.995300-6 2.308100-6 2.511900-6 3.658000-6 3.162300-6 5.797600-6 3.981100-6 9.188500-6 5.011900-6 1.456300-5 6.309600-6 2.308000-5 7.943300-6 3.657900-5 1.000000-5 5.797400-5 1.258900-5 9.188100-5 1.584900-5 1.456200-4 1.995300-5 2.307700-4 2.511900-5 3.655200-4 3.162300-5 5.789300-4 3.981100-5 9.170700-4 5.011900-5 1.452900-3 6.309600-5 2.301900-3 7.943300-5 3.642800-3 1.000000-4 5.759600-3 1.258900-4 9.093100-3 1.584900-4 1.430900-2 1.995300-4 2.248400-2 2.511900-4 3.525000-2 3.162300-4 5.459100-2 3.981100-4 8.392100-2 5.011900-4 1.266400-1 6.309600-4 1.859900-1 7.943300-4 2.630500-1 1.000000-3 3.551400-1 1.258900-3 4.534600-1 1.584900-3 5.506900-1 1.995300-3 6.374100-1 2.511900-3 7.246900-1 3.162300-3 8.194500-1 3.981100-3 9.360400-1 5.011900-3 1.068100+0 6.309600-3 1.212800+0 7.943300-3 1.357500+0 1.000000-2 1.486800+0 1.258900-2 1.589400+0 1.584900-2 1.660700+0 1.995300-2 1.702700+0 2.511900-2 1.719500+0 3.162300-2 1.714700+0 3.981100-2 1.690500+0 5.011900-2 1.654900+0 6.309600-2 1.604100+0 7.943300-2 1.542200+0 1.000000-1 1.470600+0 1.258900-1 1.391500+0 1.584900-1 1.306700+0 1.995300-1 1.218400+0 2.511900-1 1.128600+0 3.162300-1 1.039100+0 3.981100-1 9.513600-1 5.011900-1 8.663600-1 6.309600-1 7.848000-1 7.943300-1 7.071200-1 1.000000+0 6.335600-1 1.258900+0 5.643500-1 1.584900+0 4.996700-1 1.995300+0 4.396600-1 2.511900+0 3.844900-1 3.162300+0 3.342100-1 3.981100+0 2.888100-1 5.011900+0 2.482100-1 6.309600+0 2.122100-1 7.943300+0 1.805700-1 1.000000+1 1.529700-1 1.258900+1 1.290700-1 1.584900+1 1.085100-1 1.995300+1 9.092000-2 2.511900+1 7.595500-2 3.162300+1 6.328300-2 3.981100+1 5.259600-2 5.011900+1 4.361700-2 6.309600+1 3.609900-2 7.943300+1 2.982200-2 1.000000+2 2.459700-2 1.258900+2 2.025600-2 1.584900+2 1.665800-2 1.995300+2 1.368200-2 2.511900+2 1.122400-2 3.162300+2 9.197800-3 3.981100+2 7.529800-3 5.011900+2 6.158500-3 6.309600+2 5.032600-3 7.943300+2 4.109200-3 1.000000+3 3.352600-3 1.258900+3 2.733300-3 1.584900+3 2.226900-3 1.995300+3 1.813200-3 2.511900+3 1.475400-3 3.162300+3 1.199900-3 3.981100+3 9.752500-4 5.011900+3 7.922700-4 6.309600+3 6.432900-4 7.943300+3 5.220800-4 1.000000+4 4.235200-4 1.258900+4 3.434100-4 1.584900+4 2.783400-4 1.995300+4 2.255100-4 2.511900+4 1.826300-4 3.162300+4 1.478500-4 3.981100+4 1.196500-4 5.011900+4 9.680100-5 6.309600+4 7.828600-5 7.943300+4 6.329200-5 1.000000+5 5.115400-5 1 3000 7 7 6.939000+0 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159561-4 3.981072-4 3.976772-4 5.011872-4 5.005100-4 6.309573-4 6.298977-4 7.943282-4 7.926723-4 1.000000-3 9.974325-4 1.258925-3 1.254976-3 1.584893-3 1.578833-3 1.995262-3 1.985989-3 2.511886-3 2.497584-3 3.162278-3 3.139862-3 3.981072-3 3.945804-3 5.011872-3 4.956116-3 6.309573-3 6.221696-3 7.943282-3 7.805877-3 1.000000-2 9.787003-3 1.258925-2 1.226154-2 1.584893-2 1.534729-2 1.995262-2 1.918651-2 2.511886-2 2.394912-2 3.162278-2 2.983902-2 3.981072-2 3.709834-2 5.011872-2 4.599934-2 6.309573-2 5.687813-2 7.943282-2 7.010927-2 1.000000-1 8.613005-2 1.258925-1 1.054431-1 1.584893-1 1.286274-1 1.995262-1 1.563528-1 2.511886-1 1.893859-1 3.162278-1 2.286191-1 3.981072-1 2.750575-1 5.011872-1 3.298875-1 6.309573-1 3.944823-1 7.943282-1 4.704986-1 1.000000+0 5.599475-1 1.258925+0 6.653089-1 1.584893+0 7.896439-1 1.995262+0 9.367119-1 2.511886+0 1.111225+0 3.162278+0 1.318909+0 3.981072+0 1.566789+0 5.011872+0 1.863536+0 6.309573+0 2.219678+0 7.943282+0 2.648142+0 1.000000+1 3.164698+0 1.258925+1 3.788698+0 1.584893+1 4.543813+0 1.995262+1 5.458949+0 2.511886+1 6.569670+0 3.162278+1 7.919604+0 3.981072+1 9.562041+0 5.011872+1 1.156279+1 6.309573+1 1.400240+1 7.943282+1 1.697998+1 1.000000+2 2.061732+1 1.258925+2 2.506455+1 1.584893+2 3.050616+1 1.995262+2 3.716938+1 2.511886+2 4.533439+1 3.162278+2 5.534695+1 3.981072+2 6.763146+1 5.011872+2 8.271474+1 6.309573+2 1.012442+2 7.943282+2 1.240202+2 1.000000+3 1.520295+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 3000 7 9 6.939000+0 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090813-9 2.511886-5 1.728560-9 3.162278-5 2.739388-9 3.981072-5 4.341567-9 5.011872-5 6.880929-9 6.309573-5 1.090540-8 7.943282-5 1.727774-8 1.000000-4 2.737180-8 1.258925-4 4.335788-8 1.584893-4 6.863346-8 1.995262-4 1.086924-7 2.511886-4 1.720775-7 3.162278-4 2.717142-7 3.981072-4 4.299443-7 5.011872-4 6.772134-7 6.309573-4 1.059636-6 7.943282-4 1.655970-6 1.000000-3 2.567536-6 1.258925-3 3.949282-6 1.584893-3 6.059747-6 1.995262-3 9.273060-6 2.511886-3 1.430262-5 3.162278-3 2.241557-5 3.981072-3 3.526730-5 5.011872-3 5.575585-5 6.309573-3 8.787727-5 7.943282-3 1.374050-4 1.000000-2 2.129973-4 1.258925-2 3.277133-4 1.584893-2 5.016430-4 1.995262-2 7.661133-4 2.511886-2 1.169749-3 3.162278-2 1.783757-3 3.981072-2 2.712373-3 5.011872-2 4.119381-3 6.309573-2 6.217607-3 7.943282-2 9.323550-3 1.000000-1 1.386995-2 1.258925-1 2.044942-2 1.584893-1 2.986193-2 1.995262-1 4.317345-2 2.511886-1 6.180276-2 3.162278-1 8.760863-2 3.981072-1 1.230496-1 5.011872-1 1.712997-1 6.309573-1 2.364751-1 7.943282-1 3.238296-1 1.000000+0 4.400525-1 1.258925+0 5.936166-1 1.584893+0 7.952493-1 1.995262+0 1.058550+0 2.511886+0 1.400662+0 3.162278+0 1.843368+0 3.981072+0 2.414282+0 5.011872+0 3.148336+0 6.309573+0 4.089896+0 7.943282+0 5.295140+0 1.000000+1 6.835302+0 1.258925+1 8.800556+0 1.584893+1 1.130512+1 1.995262+1 1.449367+1 2.511886+1 1.854919+1 3.162278+1 2.370317+1 3.981072+1 3.024868+1 5.011872+1 3.855593+1 6.309573+1 4.909333+1 7.943282+1 6.245284+1 1.000000+2 7.938268+1 1.258925+2 1.008280+2 1.584893+2 1.279832+2 1.995262+2 1.623569+2 2.511886+2 2.058543+2 3.162278+2 2.608808+2 3.981072+2 3.304757+2 5.011872+2 4.184725+2 6.309573+2 5.297132+2 7.943282+2 6.703081+2 1.000000+3 8.479705+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 3000 7 0 6.939000+0 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.500000-6 1.207440+6 5.600000-6 1.241780+6 5.770000-6 1.289010+6 5.956621-6 1.332752+6 6.165950-6 1.371698+6 6.420000-6 1.406580+6 6.683439-6 1.430410+6 6.918310-6 1.443092+6 7.200000-6 1.449470+6 7.500000-6 1.447060+6 7.852356-6 1.435264+6 8.222426-6 1.414927+6 8.700000-6 1.380000+6 9.225714-6 1.333989+6 9.772372-6 1.281290+6 1.035142-5 1.223129+6 1.109175-5 1.148312+6 1.188502-5 1.070029+6 1.273503-5 9.904937+5 1.380384-5 8.984331+5 1.500000-5 8.060030+5 1.621810-5 7.230685+5 1.778279-5 6.312666+5 1.950000-5 5.468300+5 2.150000-5 4.660470+5 2.371374-5 3.940484+5 2.630268-5 3.274176+5 2.917427-5 2.700707+5 3.273407-5 2.163257+5 3.672823-5 1.718930+5 4.120975-5 1.356143+5 4.677351-5 1.037091+5 5.370318-5 7.678121+4 5.985000-5 6.031280+4 5.985000-5 3.291953+6 6.070000-5 3.316867+6 6.180000-5 3.332675+6 6.237348-5 3.331783+6 6.350000-5 3.330076+6 6.531306-5 3.297906+6 6.730000-5 3.237094+6 6.918310-5 3.160842+6 7.161434-5 3.044538+6 7.413102-5 2.911257+6 7.500000-5 2.861228+6 7.705100-5 2.748656+6 8.035261-5 2.562834+6 8.413951-5 2.355202+6 8.810489-5 2.149896+6 9.332543-5 1.903385+6 9.440609-5 1.854970+6 9.900000-5 1.667821+6 1.060000-4 1.421291+6 1.150000-4 1.165624+6 1.220000-4 1.004903+6 1.273503-4 9.022234+5 1.462177-4 6.322429+5 1.500000-4 5.913445+5 1.757924-4 3.902729+5 1.778279-4 3.786787+5 2.018366-4 2.705165+5 2.150000-4 2.287163+5 2.290868-4 1.926754+5 2.511886-4 1.502165+5 2.570396-4 1.409853+5 2.884032-4 1.026638+5 3.198895-4 7.675133+4 3.311311-4 6.965685+4 3.630781-4 5.354449+4 3.981072-4 4.115599+4 4.168694-4 3.602312+4 4.841724-4 2.336239+4 5.069907-4 2.044744+4 6.095369-4 1.192887+4 7.161434-4 7.393692+3 7.762471-4 5.800558+3 8.511380-4 4.395432+3 9.440609-4 3.205078+3 1.035142-3 2.420438+3 1.122018-3 1.887211+3 1.258925-3 1.322472+3 1.288250-3 1.230631+3 1.548817-3 6.918618+2 1.566751-3 6.671249+2 1.927525-3 3.463639+2 1.949845-3 3.338445+2 2.426610-3 1.658591+2 2.540973-3 1.429309+2 3.090295-3 7.594230+1 3.235937-3 6.535095+1 3.981072-3 3.324051+1 4.000000-3 3.273008+1 5.128614-3 1.445081+1 5.308844-3 1.289869+1 6.760830-3 5.785596+0 7.161434-3 4.780074+0 9.772372-3 1.692324+0 1.011579-2 1.507903+0 1.396368-2 5.101072-1 1.479108-2 4.203378-1 2.113489-2 1.257622-1 2.398833-2 8.195660-2 3.845918-2 1.650171-2 7.161434-2 1.998718-3 7.413102-2 1.777553-3 1.047129-1 5.527349-4 1.059254-1 5.318123-4 1.318257-1 2.554970-4 1.333521-1 2.459312-4 1.603245-1 1.335636-4 1.621810-1 1.286194-4 1.949845-1 7.034672-5 2.238721-1 4.503751-5 2.570396-1 2.904607-5 2.917427-1 1.956992-5 3.273407-1 1.376935-5 3.630781-1 1.010414-5 4.027170-1 7.468330-6 4.415705-1 5.747345-6 4.841724-1 4.453806-6 5.308844-1 3.477899-6 5.754399-1 2.820012-6 5.821032-1 2.736826-6 6.237348-1 2.299528-6 6.309573-1 2.233794-6 6.760830-1 1.887074-6 6.839117-1 1.834790-6 7.328245-1 1.558897-6 7.413102-1 1.517157-6 7.943282-1 1.300061-6 8.035261-1 1.267045-6 8.709636-1 1.064462-6 8.912509-1 1.012800-6 1.202264+0 5.388317-7 1.273503+0 4.789064-7 1.303167+0 4.568576-7 1.380384+0 4.080586-7 1.412538+0 3.900414-7 1.479108+0 3.580061-7 1.513561+0 3.430028-7 1.566751+0 3.229588-7 1.603245+0 3.102627-7 1.659587+0 2.931740-7 1.717908+0 2.770391-7 1.737801+0 2.722968-7 1.840772+0 2.498018-7 2.238721+0 1.873519-7 2.264644+0 1.842100-7 2.540973+0 1.565867-7 2.570396+0 1.540647-7 2.917427+0 1.297626-7 2.951209+0 1.277543-7 3.388442+0 1.066336-7 3.427678+0 1.050407-7 4.000000+0 8.645945-8 4.073803+0 8.449033-8 4.786301+0 6.942758-8 4.897788+0 6.750805-8 5.888437+0 5.432343-8 6.025596+0 5.286843-8 7.413102+0 4.171203-8 7.673615+0 4.009702-8 9.549926+0 3.143549-8 9.885531+0 3.025087-8 1.273503+1 2.296847-8 1.300000+1 2.246006-8 1.840772+1 1.551189-8 1.883649+1 1.513653-8 2.630268+1 1.068297-8 2.722701+1 1.030481-8 4.168694+1 6.645619-9 4.365158+1 6.337884-9 8.317638+1 3.290164-9 8.709636+1 3.139658-9 1.659587+2 1.638587-9 1.737801+2 1.564224-9 6.606934+2 4.09752-10 6.918310+2 3.91256-10 1.000000+5 2.70303-12 1 3000 7 0 6.939000+0 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.500000-6 5.500000-6 5.985000-5 5.500000-6 5.985000-5 5.885424-5 7.161434-5 5.913283-5 1.220000-4 5.922144-5 6.095369-4 5.911526-5 1.000000+5 5.906114-5 1 3000 7 9 6.939000+0 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.500000-6 0.0 5.985000-5 5.435000-5 5.985000-5 9.957618-7 6.070000-5 1.807717-6 6.237348-5 3.420860-6 6.531306-5 6.279477-6 7.161434-5 1.248151-5 8.810489-5 2.888454-5 1.000000+5 1.000000+5 1 3000 7 0 6.939000+0 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 5.985000-5 3.231640+6 6.070000-5 3.258420+6 6.180000-5 3.276520+6 6.350000-5 3.277260+6 6.531306-5 3.248367+6 6.730000-5 3.190820+6 6.918310-5 3.117384+6 7.161434-5 3.004364+6 7.413102-5 2.874119+6 7.705100-5 2.714681+6 8.035261-5 2.532005+6 8.413951-5 2.327492+6 8.810489-5 2.124989+6 9.332543-5 1.881587+6 9.900000-5 1.648838+6 1.060000-4 1.405122+6 1.150000-4 1.152272+6 1.273503-4 8.917305+5 1.462177-4 6.246911+5 1.778279-4 3.739745+5 2.150000-4 2.257860+5 2.511886-4 1.482524+5 2.884032-4 1.013010+5 3.311311-4 6.872270+4 3.981072-4 4.059904+4 5.069907-4 2.017045+4 6.095369-4 1.176761+4 7.161434-4 7.293238+3 8.511380-4 4.335148+3 1.035142-3 2.386886+3 1.258925-3 1.304007+3 1.548817-3 6.821763+2 1.927525-3 3.415056+2 2.426610-3 1.635221+2 3.090295-3 7.486552+1 4.000000-3 3.226328+1 5.308844-3 1.271421+1 7.161434-3 4.711578+0 1.011579-2 1.486243+0 1.479108-2 4.142890-1 2.398833-2 8.077632-2 7.413102-2 1.751943-3 1.047129-1 5.447762-4 1.318257-1 2.518205-4 1.603245-1 1.316429-4 1.949845-1 6.933608-5 2.238721-1 4.439084-5 2.570396-1 2.862924-5 2.917427-1 1.928922-5 3.273407-1 1.357193-5 3.630781-1 9.959316-6 4.027170-1 7.361304-6 4.415705-1 5.664986-6 4.841724-1 4.389978-6 5.308844-1 3.428044-6 5.821032-1 2.697560-6 6.309573-1 2.201728-6 6.839117-1 1.808428-6 7.413102-1 1.495325-6 8.035261-1 1.248803-6 8.912509-1 9.981812-7 1.202264+0 5.309822-7 1.303167+0 4.502062-7 1.412538+0 3.843691-7 1.513561+0 3.380200-7 1.603245+0 3.057574-7 1.717908+0 2.730164-7 1.840772+0 2.461737-7 2.264644+0 1.815352-7 2.570396+0 1.518277-7 2.951209+0 1.258996-7 3.427678+0 1.035157-7 4.073803+0 8.326356-8 4.897788+0 6.652782-8 6.025596+0 5.210080-8 7.673615+0 3.951476-8 9.885531+0 2.981164-8 1.300000+1 2.213400-8 1.883649+1 1.491678-8 2.722701+1 1.015521-8 4.365158+1 6.245867-9 8.709636+1 3.094079-9 1.737801+2 1.541517-9 6.918310+2 3.85577-10 1.000000+5 2.66380-12 1 3000 7 0 6.939000+0 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 5.985000-5 5.985000-5 1.000000+5 5.985000-5 1 3000 7 9 6.939000+0 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.985000-5 0.0 1.000000+5 1.000000+5 1 3000 7 0 6.939000+0 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 5.500000-6 1.207440+6 5.600000-6 1.241780+6 5.770000-6 1.289010+6 5.956621-6 1.332752+6 6.165950-6 1.371698+6 6.420000-6 1.406580+6 6.683439-6 1.430410+6 6.918310-6 1.443092+6 7.200000-6 1.449470+6 7.500000-6 1.447060+6 7.852356-6 1.435264+6 8.222426-6 1.414927+6 8.700000-6 1.380000+6 9.225714-6 1.333989+6 9.772372-6 1.281290+6 1.035142-5 1.223129+6 1.109175-5 1.148312+6 1.188502-5 1.070029+6 1.273503-5 9.904937+5 1.380384-5 8.984331+5 1.500000-5 8.060030+5 1.621810-5 7.230685+5 1.778279-5 6.312666+5 1.950000-5 5.468300+5 2.150000-5 4.660470+5 2.371374-5 3.940484+5 2.630268-5 3.274176+5 2.917427-5 2.700707+5 3.273407-5 2.163257+5 3.672823-5 1.718930+5 4.120975-5 1.356143+5 4.677351-5 1.037091+5 5.370318-5 7.678121+4 6.237348-5 5.501152+4 7.500000-5 3.616620+4 9.440609-5 2.122410+4 1.220000-4 1.162180+4 1.500000-4 7.106300+3 1.757924-4 4.839998+3 2.018366-4 3.439581+3 2.290868-4 2.494567+3 2.570396-4 1.850115+3 2.884032-4 1.362828+3 3.198895-4 1.028183+3 3.630781-4 7.233438+2 4.168694-4 4.887131+2 4.841724-4 3.170989+2 7.762471-4 7.928423+1 9.440609-4 4.429375+1 1.122018-3 2.631350+1 1.288250-3 1.720259+1 1.566751-3 9.343947+0 1.949845-3 4.684923+0 2.540973-3 2.018723+0 3.235937-3 9.287544-1 3.981072-3 4.741074-1 5.128614-3 2.067907-1 6.760830-3 8.297458-2 9.772372-3 2.432027-2 1.396368-2 7.345851-3 2.113489-2 1.813656-3 3.845918-2 2.380058-4 7.161434-2 2.878506-5 1.059254-1 7.654604-6 1.333521-1 3.537342-6 1.621810-1 1.848784-6 1.949845-1 1.010636-6 2.238721-1 6.466699-7 2.570396-1 4.168265-7 2.917427-1 2.806951-7 3.273407-1 1.974176-7 3.630781-1 1.448270-7 4.027170-1 1.070255-7 4.415705-1 8.235856-8 4.841724-1 6.382823-8 5.308844-1 4.985473-8 5.754399-1 4.042368-8 6.237348-1 3.298130-8 6.760830-1 2.708619-8 7.328245-1 2.240318-8 7.943282-1 1.870017-8 8.709636-1 1.533489-8 1.273503+0 6.964777-9 1.380384+0 5.928222-9 1.479108+0 5.193025-9 1.566751+0 4.683422-9 1.659587+0 4.250666-9 1.737801+0 3.949427-9 2.238721+0 2.718770-9 2.540973+0 2.272282-9 2.917427+0 1.882892-9 3.388442+0 1.547329-9 4.000000+0 1.254500-9 4.786301+0 1.007318-9 5.888437+0 7.88187-10 7.413102+0 6.05159-10 9.549926+0 4.56075-10 1.273503+1 3.33291-10 1.840772+1 2.25097-10 2.630268+1 1.55025-10 4.168694+1 9.64311-11 8.317638+1 4.77473-11 1.659587+2 2.37807-11 6.606934+2 5.94683-12 1.000000+5 3.92330-14 1 3000 7 0 6.939000+0 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 5.500000-6 5.500000-6 1.000000+5 5.500000-6 1 3000 7 9 6.939000+0 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 5.500000-6 0.0 1.000000+5 1.000000+5 1 3000 7 0 6.939000+0 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.27543-10 1.028750+0 3.275430-9 1.036640+0 3.275430-8 1.054080+0 3.275430-7 1.070400+0 1.072550-6 1.076200+0 1.482250-6 1.080600+0 1.851090-6 1.087100+0 2.494060-6 1.093710+0 3.275430-6 1.102600+0 4.541740-6 1.110700+0 5.923990-6 1.120600+0 7.925710-6 1.133300+0 1.102170-5 1.147500+0 1.522030-5 1.158200+0 1.891570-5 1.174100+0 2.527620-5 1.190110+0 3.275430-5 1.205100+0 4.074150-5 1.227500+0 5.449350-5 1.250000+0 7.052000-5 1.281300+0 9.655590-5 1.308600+0 1.228550-4 1.332500+0 1.485750-4 1.374400+0 1.996810-4 1.405800+0 2.428400-4 1.452900+0 3.149650-4 1.500000+0 3.953000-4 1.562500+0 5.130320-4 1.641100+0 6.769240-4 1.706900+0 8.255890-4 1.811600+0 1.080350-3 1.952900+0 1.452730-3 2.000000+0 1.583000-3 2.044000+0 1.707000-3 2.163500+0 2.051210-3 2.372600+0 2.669620-3 2.529500+0 3.139730-3 2.764700+0 3.844900-3 3.000000+0 4.545000-3 3.437500+0 5.820350-3 4.000000+0 7.383000-3 4.750000+0 9.306740-3 5.000000+0 9.914000-3 6.000000+0 1.219000-2 7.000000+0 1.422000-2 8.000000+0 1.606000-2 9.000000+0 1.772000-2 1.000000+1 1.924000-2 1.100000+1 2.062000-2 1.200000+1 2.189000-2 1.300000+1 2.308000-2 1.400000+1 2.418000-2 1.500000+1 2.521000-2 1.600000+1 2.619000-2 1.800000+1 2.798000-2 2.000000+1 2.959000-2 2.200000+1 3.106000-2 2.400000+1 3.240000-2 2.600000+1 3.364000-2 2.800000+1 3.478000-2 3.000000+1 3.585000-2 4.000000+1 4.024000-2 5.000000+1 4.355000-2 6.000000+1 4.621000-2 8.000000+1 5.029000-2 1.000000+2 5.321000-2 1.500000+2 5.801000-2 2.000000+2 6.100000-2 3.000000+2 6.465000-2 4.000000+2 6.683000-2 5.000000+2 6.831000-2 6.000000+2 6.938000-2 8.000000+2 7.085000-2 1.000000+3 7.182000-2 1.500000+3 7.324000-2 2.000000+3 7.404000-2 3.000000+3 7.491000-2 4.000000+3 7.538000-2 5.000000+3 7.568000-2 6.000000+3 7.590000-2 8.000000+3 7.617000-2 1.000000+4 7.635000-2 1.500000+4 7.659000-2 2.000000+4 7.673000-2 3.000000+4 7.687000-2 4.000000+4 7.694000-2 5.000000+4 7.699000-2 6.000000+4 7.702000-2 8.000000+4 7.706000-2 1.000000+5 7.708000-2 1 3000 7 8 6.939000+0 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 3000 7 9 6.939000+0 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 3000 7 0 6.939000+0 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 3.011450-8 2.136250+0 3.011450-7 2.201800+0 1.376440-6 2.214800+0 1.714930-6 2.234200+0 2.306890-6 2.253680+0 3.011450-6 2.281500+0 4.218070-6 2.307000+0 5.540430-6 2.338200+0 7.449600-6 2.377400+0 1.031680-5 2.410200+0 1.312130-5 2.446800+0 1.669100-5 2.485900+0 2.101490-5 2.532900+0 2.689450-5 2.556430+0 3.011450-5 2.611900+0 3.839900-5 2.660400+0 4.642180-5 2.745300+0 6.213160-5 2.809000+0 7.524440-5 2.904500+0 9.693200-5 3.000000+0 1.210000-4 3.125000+0 1.560390-4 3.234400+0 1.898840-4 3.425800+0 2.557620-4 3.569300+0 3.101920-4 3.784700+0 3.988580-4 4.000000+0 4.942000-4 4.250000+0 6.107790-4 4.625000+0 7.940650-4 5.000000+0 9.848000-4 5.500000+0 1.247050-3 6.000000+0 1.513000-3 6.750000+0 1.908620-3 7.000000+0 2.039000-3 8.000000+0 2.551000-3 9.000000+0 3.042000-3 1.000000+1 3.509000-3 1.100000+1 3.953000-3 1.200000+1 4.373000-3 1.300000+1 4.769000-3 1.400000+1 5.148000-3 1.500000+1 5.508000-3 1.600000+1 5.852000-3 1.800000+1 6.491000-3 2.000000+1 7.077000-3 2.200000+1 7.618000-3 2.400000+1 8.118000-3 2.600000+1 8.584000-3 2.800000+1 9.019000-3 3.000000+1 9.427000-3 4.000000+1 1.115000-2 5.000000+1 1.250000-2 6.000000+1 1.361000-2 8.000000+1 1.533000-2 1.000000+2 1.664000-2 1.500000+2 1.892000-2 2.000000+2 2.042000-2 3.000000+2 2.238000-2 4.000000+2 2.363000-2 5.000000+2 2.453000-2 6.000000+2 2.521000-2 8.000000+2 2.619000-2 1.000000+3 2.687000-2 1.500000+3 2.793000-2 2.000000+3 2.856000-2 3.000000+3 2.928000-2 4.000000+3 2.970000-2 5.000000+3 2.997000-2 6.000000+3 3.016000-2 8.000000+3 3.042000-2 1.000000+4 3.058000-2 1.500000+4 3.082000-2 2.000000+4 3.095000-2 3.000000+4 3.108000-2 4.000000+4 3.116000-2 5.000000+4 3.121000-2 6.000000+4 3.125000-2 8.000000+4 3.128000-2 1.000000+5 3.131000-2 1 3000 7 8 6.939000+0 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 3000 7 9 6.939000+0 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 3000 7 0 6.939000+0 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 3.000000+0 1.000000+5 3.000000+0 5.000000+5 2.996600+0 7.187500+5 2.992870+0 9.062500+5 2.988860+0 1.000000+6 2.986500+0 1.500000+6 2.969900+0 1.812500+6 2.956140+0 2.000000+6 2.947200+0 2.500000+6 2.919000+0 3.000000+6 2.885000+0 3.250000+6 2.866290+0 3.625000+6 2.836440+0 3.750000+6 2.825850+0 4.000000+6 2.804400+0 4.437500+6 2.764580+0 4.750000+6 2.734700+0 4.812500+6 2.728720+0 5.000000+6 2.710600+0 5.250000+6 2.685830+0 5.687500+6 2.641570+0 5.875000+6 2.622460+0 6.015600+6 2.608130+0 6.507800+6 2.557680+0 6.625000+6 2.545480+0 7.000000+6 2.507100+0 7.500000+6 2.455890+0 7.875000+6 2.418100+0 8.000000+6 2.405790+0 8.437500+6 2.362600+0 9.000000+6 2.309000+0 9.750000+6 2.240570+0 1.000000+7 2.219000+0 1.125000+7 2.120340+0 1.187500+7 2.076530+0 1.250000+7 2.035800+0 1.312500+7 1.998540+0 1.437500+7 1.933530+0 1.500000+7 1.906000+0 1.625000+7 1.859520+0 1.750000+7 1.818400+0 2.000000+7 1.742500+0 2.250000+7 1.681130+0 2.500000+7 1.625800+0 2.750000+7 1.569460+0 3.000000+7 1.511500+0 3.250000+7 1.452220+0 3.437500+7 1.406910+0 3.718800+7 1.338180+0 3.750000+7 1.330400+0 4.000000+7 1.268800+0 4.250000+7 1.207140+0 4.500000+7 1.146600+0 4.578100+7 1.128030+0 4.859400+7 1.062840+0 5.000000+7 1.031300+0 5.343800+7 9.572080-1 5.500000+7 9.247860-1 5.718800+7 8.805620-1 6.000000+7 8.255000-1 6.250000+7 7.782270-1 6.625000+7 7.113540-1 6.750000+7 6.902530-1 7.000000+7 6.500000-1 7.500000+7 5.768390-1 7.750000+7 5.435800-1 8.000000+7 5.123000-1 8.500000+7 4.549750-1 9.000000+7 4.043700-1 9.500000+7 3.597620-1 1.000000+8 3.204600-1 1.062500+8 2.777990-1 1.109400+8 2.499440-1 1.179700+8 2.139250-1 1.187500+8 2.103020-1 1.250000+8 1.837500-1 1.312500+8 1.610050-1 1.406300+8 1.327720-1 1.500000+8 1.102000-1 1.617200+8 8.801280-2 1.712900+8 7.373990-2 1.815400+8 6.139390-2 1.938500+8 4.966050-2 2.000000+8 4.481000-2 2.125000+8 3.658120-2 2.312500+8 2.740100-2 2.500000+8 2.089100-2 2.750000+8 1.492320-2 3.000000+8 1.092000-2 3.250000+8 8.150950-3 3.500000+8 6.190700-3 3.875000+8 4.217860-3 4.000000+8 3.738300-3 4.750000+8 1.934730-3 5.000000+8 1.586900-3 6.000000+8 7.806300-4 7.000000+8 4.265600-4 8.000000+8 2.520900-4 1.000000+9 1.043000-4 1.500000+9 2.083500-5 2.000000+9 6.627900-6 5.000000+9 1.724500-7 8.000000+9 2.665200-8 1.00000+10 1.100700-8 1.54060+10 1.991390-9 2.13670+10 5.49152-10 2.85850+10 1.75836-10 3.52080+10 7.82270-11 4.33070+10 3.51834-11 5.37010+10 1.54430-11 6.52760+10 7.36547-12 7.39570+10 4.60423-12 8.69780+10 2.51301-12 1.00000+11 1.49950-12 1.17140+11 8.39494-13 1.36540+11 4.81183-13 1.70670+11 2.15954-13 2.04860+11 1.12982-13 2.52170+11 5.45067-14 3.35790+11 2.02375-14 4.68190+11 6.53315-15 6.33390+11 2.37640-15 8.34870+11 9.55525-16 1.31660+12 2.18077-16 1.95920+12 6.15051-17 3.59790+12 9.21168-18 8.26120+12 7.28147-19 2.87420+13 1.76258-20 1.00000+14 4.44040-22 5.62340+14 2.62711-24 7.49890+15 1.10723-27 1.00000+17 4.44440-31 1 3000 7 0 6.939000+0 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 2.65000-12 1.000000+2 2.65000-10 1.000000+3 2.650000-8 1.000000+4 2.650000-6 1.000000+5 2.650000-4 5.000000+5 6.625000-3 7.187500+5 1.368994-2 9.062500+5 2.176416-2 1.000000+6 2.650000-2 1.500000+6 5.847500-2 1.812500+6 8.464630-2 2.000000+6 1.022000-1 2.500000+6 1.544900-1 3.000000+6 2.164000-1 3.250000+6 2.495470-1 3.625000+6 3.009610-1 3.750000+6 3.184900-1 4.000000+6 3.541000-1 4.437500+6 4.176700-1 4.750000+6 4.634410-1 4.812500+6 4.725490-1 5.000000+6 4.998000-1 5.250000+6 5.356710-1 5.687500+6 5.968940-1 5.875000+6 6.224730-1 6.015600+6 6.413270-1 6.507800+6 7.050850-1 6.625000+6 7.197450-1 7.000000+6 7.652000-1 7.500000+6 8.221080-1 7.875000+6 8.616880-1 8.000000+6 8.742650-1 8.437500+6 9.157640-1 9.000000+6 9.629000-1 9.750000+6 1.016190+0 1.000000+7 1.032800+0 1.125000+7 1.110980+0 1.187500+7 1.144290+0 1.250000+7 1.172100+0 1.312500+7 1.193740+0 1.437500+7 1.228510+0 1.500000+7 1.245800+0 1.625000+7 1.286100+0 1.750000+7 1.329700+0 2.000000+7 1.417600+0 2.250000+7 1.510030+0 2.500000+7 1.605200+0 2.750000+7 1.700960+0 3.000000+7 1.795300+0 3.250000+7 1.887440+0 3.437500+7 1.954810+0 3.718800+7 2.051430+0 3.750000+7 2.061890+0 4.000000+7 2.142800+0 4.250000+7 2.218630+0 4.500000+7 2.289750+0 4.578100+7 2.310710+0 4.859400+7 2.382970+0 5.000000+7 2.416600+0 5.343800+7 2.492210+0 5.500000+7 2.523690+0 5.718800+7 2.564690+0 6.000000+7 2.612900+0 6.250000+7 2.651180+0 6.625000+7 2.702250+0 6.750000+7 2.717580+0 7.000000+7 2.746200+0 7.500000+7 2.794530+0 7.750000+7 2.815260+0 8.000000+7 2.833900+0 8.500000+7 2.865290+0 9.000000+7 2.890900+0 9.500000+7 2.911140+0 1.000000+8 2.927800+0 1.062500+8 2.943720+0 1.109400+8 2.953480+0 1.179700+8 2.964740+0 1.187500+8 2.965890+0 1.250000+8 2.973200+0 1.312500+8 2.978830+0 1.406300+8 2.984970+0 1.500000+8 2.989200+0 1.617200+8 2.992760+0 1.712900+8 2.994540+0 1.815400+8 2.996220+0 1.938500+8 2.997290+0 2.000000+8 2.997800+0 2.125000+8 2.998230+0 2.312500+8 2.998840+0 2.500000+8 2.999400+0 2.750000+8 2.999610+0 3.000000+8 2.999800+0 3.250000+8 2.999850+0 3.500000+8 2.999900+0 3.875000+8 2.999980+0 4.000000+8 3.000000+0 4.750000+8 3.000000+0 5.000000+8 3.000000+0 6.000000+8 3.000000+0 7.000000+8 3.000000+0 8.000000+8 3.000000+0 1.000000+9 3.000000+0 1.500000+9 3.000000+0 2.000000+9 3.000000+0 5.000000+9 3.000000+0 8.000000+9 3.000000+0 1.00000+10 3.000000+0 1.54060+10 3.000000+0 2.13670+10 3.000000+0 2.85850+10 3.000000+0 3.52080+10 3.000000+0 4.33070+10 3.000000+0 5.37010+10 3.000000+0 6.52760+10 3.000000+0 7.39570+10 3.000000+0 8.69780+10 3.000000+0 1.00000+11 3.000000+0 1.17140+11 3.000000+0 1.36540+11 3.000000+0 1.70670+11 3.000000+0 2.04860+11 3.000000+0 2.52170+11 3.000000+0 3.35790+11 3.000000+0 4.68190+11 3.000000+0 6.33390+11 3.000000+0 8.34870+11 3.000000+0 1.31660+12 3.000000+0 1.95920+12 3.000000+0 3.59790+12 3.000000+0 8.26120+12 3.000000+0 2.87420+13 3.000000+0 1.00000+14 3.000000+0 5.62340+14 3.000000+0 7.49890+15 3.000000+0 1.00000+17 3.000000+0 1 3000 7 0 6.939000+0 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.899984-6 0.0 1.900189-6 3.174345-2 1.909543-6 4.362406+0 1.914220-6 7.952293+0 1.918898-6 1.338366+1 1.924007-6 2.163814+1 1.937702-6 4.835698+1 1.942779-6 5.476637+1 1.947283-6 5.666872+1 1.952133-6 5.401340+1 1.957155-6 4.697733+1 1.965093-6 3.131988+1 1.970345-6 2.105137+1 1.975022-6 1.357958+1 1.979700-6 8.086676+0 1.984377-6 4.445591+0 1.991285-6 1.156087+0 1.993516-6 6.988097-2 1.993731-6 0.0 3.366517-6 0.0 3.374804-6 1.12898-17 3.383090-6 2.23393-17 3.391376-6 4.08046-17 3.399662-6 6.88021-17 3.407949-6 1.07090-16 3.416235-6 1.53868-16 3.424521-6 2.04082-16 3.432807-6 2.49869-16 3.441094-6 2.82407-16 3.449380-6 2.94640-16 3.457666-6 2.83767-16 3.465953-6 2.52282-16 3.474239-6 2.07045-16 3.490811-6 1.09694-16 3.499098-6 7.08145-17 3.507384-6 4.22004-17 3.515670-6 2.32148-17 3.523956-6 1.17887-17 3.532243-6 0.0 3.838793-6 0.0 3.838832-6 1.030475-5 3.848281-6 7.497369-3 3.857730-6 1.483216-2 3.867178-6 2.708695-2 3.876627-6 4.566421-2 3.886076-6 7.106426-2 3.906847-6 1.414079-1 3.916416-6 1.703057-1 3.923871-6 1.873308-1 3.933320-6 1.954391-1 3.942769-6 1.882301-1 3.952218-6 1.673598-1 3.980564-6 7.285050-2 3.990013-6 4.707392-2 3.999462-6 2.809456-2 4.008910-6 1.549137-2 4.021676-6 5.141454-3 4.027767-6 8.340888-5 4.027808-6 6.068464-5 4.031246-6 5.255534-5 4.040815-6 3.392790-5 4.050384-6 2.021860-5 4.059953-6 1.112242-5 4.069522-6 5.648087-6 4.079091-6 0.0 4.511847-6 0.0 4.511866-6 5.240163-6 4.522972-6 8.962848-3 4.534077-6 1.773351-2 4.545182-6 3.238995-2 4.556288-6 5.461005-2 4.567393-6 8.499463-2 4.584051-6 1.420116-1 4.600709-6 1.982837-1 4.611815-6 2.240948-1 4.622920-6 2.337938-1 4.634025-6 2.251596-1 4.645131-6 2.001725-1 4.661789-6 1.443883-1 4.678485-6 8.692717-2 4.689644-6 5.599950-2 4.700802-6 3.328766-2 4.711961-6 1.825886-2 4.723119-6 9.140727-3 4.733953-6 1.349253-5 4.733974-6 1.968005-6 4.756461-6 4.12751-14 4.756595-6 0.0 4.820968-6 0.0 4.820978-6 1.545957-6 4.832844-6 5.649977-3 4.844710-6 1.117929-2 4.856576-6 2.041910-2 4.868443-6 3.442819-2 4.880309-6 5.358544-2 4.898108-6 8.953590-2 4.915908-6 1.250184-1 4.927774-6 1.412946-1 4.939640-6 1.474118-1 4.951506-6 1.419690-1 4.963372-6 1.262145-1 4.981593-6 9.020639-2 4.987948-6 7.679744-2 5.000225-6 5.636514-2 5.010837-6 4.196009-2 5.022704-6 3.292561-2 5.024780-6 3.224815-2 5.034570-6 3.140677-2 5.037057-6 3.199283-2 5.049334-6 3.804079-2 5.058302-6 4.429086-2 5.073888-6 6.399782-2 5.098443-6 9.045229-2 5.110720-6 9.652231-2 5.122997-6 9.652053-2 5.159829-6 7.892084-2 5.175888-6 7.539769-2 5.184383-6 7.485727-2 5.197461-6 7.669821-2 5.216512-6 8.178759-2 5.270308-6 8.540959-2 5.388178-6 9.028871-2 5.421882-6 8.921606-2 5.473688-6 8.744497-2 5.520011-6 8.955266-2 5.601411-6 9.835741-2 6.028622-6 1.159956-1 6.683439-6 1.366349-1 7.500000-6 1.551335-1 8.700000-6 1.716393-1 1.062663-5 1.815774-1 1.325867-5 1.789305-1 2.683417-5 1.211560-1 3.428613-5 9.676158-2 4.253535-5 7.719648-2 5.186653-5 6.149738-2 5.494646-5 5.751899-2 5.521695-5 6.084416-1 5.535219-5 1.063977+0 5.548744-5 1.754711+0 5.563959-5 2.843262+0 5.587653-5 4.939288+0 5.603687-5 6.271438+0 5.617799-5 7.055657+0 5.631796-5 7.287378+0 5.645603-5 6.930932+0 5.659369-5 6.079114+0 5.687048-5 3.668160+0 5.697512-5 2.816549+0 5.711883-5 1.902883+0 5.724589-5 1.347676+0 5.730509-5 1.202814+0 5.738474-5 1.054136+0 5.746261-5 1.021654+0 5.758512-5 1.025322+0 5.765393-5 1.077208+0 5.798778-5 2.075650+0 5.818593-5 2.582655+0 5.836286-5 2.852035+0 5.847483-5 2.942147+0 5.871145-5 2.920105+0 5.923006-5 2.746519+0 5.990584-5 2.803347+0 6.372663-5 3.027999+0 6.975292-5 3.124126+0 7.823428-5 2.999935+0 1.098474-4 2.048756+0 1.255365-4 1.680452+0 1.429914-4 1.370223+0 1.608432-4 1.133818+0 1.843423-4 9.085268-1 2.050572-4 7.613362-1 2.292961-4 6.307017-1 2.559940-4 5.225681-1 2.815934-4 4.420177-1 3.143331-4 3.627110-1 3.533107-4 2.927715-1 3.928528-4 2.403931-1 4.397200-4 1.942840-1 4.837433-4 1.621898-1 5.359156-4 1.334070-1 5.821032-4 1.137379-1 6.542467-4 9.056400-2 7.303808-4 7.284995-2 8.155542-4 5.835405-2 8.985494-4 4.793278-2 9.994379-4 3.854892-2 1.110102-3 3.100160-2 1.238918-3 2.464859-2 1.375889-3 1.973161-2 1.511297-3 1.616169-2 1.679070-3 1.288125-2 1.858623-3 1.033981-2 2.031199-3 8.516932-3 2.255814-3 6.764718-3 2.480206-3 5.489201-3 2.726858-3 4.441003-3 2.967899-3 3.676466-3 3.297626-3 2.900340-3 3.634424-3 2.327676-3 3.959770-3 1.917270-3 4.318344-3 1.573188-3 4.779205-3 1.246876-3 5.173090-3 1.040232-3 5.604384-3 8.651163-4 6.214923-3 6.806484-4 6.760830-3 5.602644-4 7.392128-3 4.549890-4 8.175389-3 3.594542-4 8.882461-3 2.960331-4 9.822744-3 2.338886-4 1.070316-2 1.911083-4 1.161095-2 1.576935-4 1.262501-2 1.293807-4 1.391701-2 1.027800-4 1.512659-2 8.438025-5 1.667990-2 6.685430-5 1.843814-2 5.266392-5 2.019865-2 4.240188-5 2.214001-2 3.406268-5 2.399192-2 2.813204-5 2.603818-2 2.312980-5 2.807687-2 1.930839-5 3.057897-2 1.573790-5 3.386789-2 1.232398-5 3.677744-2 1.011736-5 4.032464-2 8.115775-6 4.353163-2 6.757283-6 4.745735-2 5.493630-6 5.153029-2 4.510976-6 5.686230-2 3.561575-6 6.187590-2 2.909973-6 6.687012-2 2.414808-6 7.342382-2 1.930186-6 8.118223-2 1.519752-6 8.936442-2 1.208675-6 9.851910-2 9.580983-7 1.069498-1 7.883668-7 1.160256-1 6.509703-7 1.274967-1 5.215914-7 1.405408-1 4.157723-7 1.548400-1 3.322982-7 1.709237-1 2.649784-7 1.892639-1 2.100950-7 2.088592-1 1.684847-7 2.258135-1 1.416545-7 2.496215-1 1.138835-7 2.712801-1 9.534600-8 2.997221-1 7.731456-8 3.273407-1 6.453332-8 3.630781-1 5.253407-8 4.005285-1 4.349569-8 4.415705-1 3.633440-8 4.954502-1 2.968464-8 5.457971-1 2.527779-8 5.984546-1 2.186178-8 6.635521-1 1.875997-8 7.413102-1 1.610095-8 8.326620-1 1.397913-8 9.550462-1 1.196468-8 1.070165+0 1.062715-8 1.286622+0 8.920970-9 1.546860+0 7.488714-9 1.859734+0 6.286405-9 2.235892+0 5.277126-9 2.688134+0 4.429886-9 3.231848+0 3.718671-9 3.885536+0 3.121640-9 4.671441+0 2.620463-9 5.616308+0 2.199749-9 6.752287+0 1.846580-9 8.118035+0 1.550113-9 9.760024+0 1.301243-9 1.000000+1 2.483201-9 1 3000 7 0 6.939000+0 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-2.726906+0 1.261765-6-2.448059+0 1.420389-6-2.131721+0 1.515961-6-1.823722+0 1.582569-6-1.510851+0 1.629161-6-1.212361+0 1.661956-6-9.426188-1 1.676833-6-7.982731-1 1.690780-6-6.474487-1 1.703855-6-4.900418-1 1.716113-6-3.259648-1 1.727605-6-1.551485-1 1.738379-6 2.245627-2 1.748479-6 2.068766-1 1.757948-6 3.981159-1 1.766825-6 5.961522-1 1.775148-6 8.009367-1 1.782950-6 1.012392+0 1.797122-6 1.454862+0 1.809578-6 1.922344+0 1.820526-6 2.413126+0 1.834513-6 3.188038+0 1.846037-6 4.000953+0 1.858311-6 5.124223+0 1.867793-6 6.264696+0 1.875338-6 7.429516+0 1.883473-6 9.080633+0 1.890306-6 1.098517+1 1.895221-6 1.287642+1 1.898979-6 1.494581+1 1.901989-6 1.741362+1 1.909543-6 2.224129+1 1.914805-6 2.625184+1 1.920505-6 2.977480+1 1.924843-6 3.097793+1 1.928950-6 2.977994+1 1.932445-6 2.708279+1 1.935830-6 2.280741+1 1.937397-6 1.986553+1 1.941317-6 1.156852+1 1.942162-6 9.380007+0 1.942779-6 7.543221+0 1.945588-6 5.497434-1 1.945910-6-2.815420-1 1.946256-6-1.208712+0 1.946684-6-2.427346+0 1.946870-6-2.998159+0 1.947109-6-2.149955+0 1.947283-6-1.614024+0 1.951710-6 9.914254+0 1.952655-6 1.237570+1 1.957155-6 2.191595+1 1.960047-6 2.634566+1 1.963366-6 3.000965+1 1.966838-6 3.177176+1 1.970345-6 3.192851+1 1.975022-6 3.011917+1 1.979700-6 2.700868+1 1.987519-6 2.135979+1 1.992958-6 1.791388+1 1.995071-6 1.605225+1 1.999085-6 1.389435+1 2.004419-6 1.190570+1 2.012385-6 9.808265+0 2.020303-6 8.300738+0 2.030790-6 6.823418+0 2.043793-6 5.492206+0 2.059234-6 4.347350+0 2.074494-6 3.505819+0 2.089575-6 2.859795+0 2.109430-6 2.199104+0 2.128996-6 1.693243+0 2.148256-6 1.293628+0 2.167217-6 9.698806-1 2.185883-6 7.022379-1 2.204259-6 4.772734-1 2.222419-6 2.848373-1 2.240295-6 1.189729-1 2.257893-6-2.545443-2 2.275215-6-1.523349-1 2.292266-6-2.646697-1 2.309052-6-3.648121-1 2.341839-6-5.356400-1 2.373610-6-6.759001-1 2.434697-6-8.938118-1 2.519354-6-1.118307+0 2.621165-6-1.313267+0 2.790750-6-1.533218+0 3.029013-6-1.725759+0 3.532243-6-1.950720+0 3.829213-6-2.072710+0 3.902063-6-2.141632+0 3.964262-6-1.938984+0 4.008910-6-1.966184+0 4.133185-6-2.055124+0 4.506855-6-2.197603+0 4.584051-6-2.273894+0 4.634025-6-2.101507+0 4.667342-6-2.019776+0 4.898108-6-2.246260+0 4.987948-6-2.116654+0 5.088220-6-2.209388+0 5.184383-6-2.184045+0 7.852356-6-2.208440+0 1.756871-5-2.150443+0 2.683417-5-2.235512+0 3.639113-5-2.467192+0 4.311060-5-2.782876+0 4.748800-5-3.147563+0 5.048416-5-3.582622+0 5.186653-5-3.905330+0 5.337265-5-3.663454+0 5.415605-5-3.322257+0 5.456502-5-2.964076+0 5.479427-5-2.624641+0 5.492222-5-2.316043+0 5.498523-5-2.077574+0 5.520674-5-1.465808+0 5.536910-5-9.144660-1 5.550434-5-5.235163-1 5.553393-5-4.606733-1 5.563959-5-3.114887-1 5.566917-5-3.029984-1 5.569136-5-3.109746-1 5.572464-5-3.405527-1 5.575793-5-3.841733-1 5.577483-5-4.128885-1 5.580442-5-4.857620-1 5.582660-5-5.549044-1 5.585989-5-6.818748-1 5.589317-5-8.443595-1 5.595234-5-1.185461+0 5.600702-5-1.568633+0 5.613691-5-2.765661+0 5.629664-5-4.595269+0 5.636922-5-3.771116+0 5.647020-5-2.684700+0 5.659369-5-1.629398+0 5.665003-5-1.278384+0 5.670463-5-1.007753+0 5.674692-5-8.434918-1 5.678145-5-7.493503-1 5.682677-5-6.712022-1 5.685591-5-6.494818-1 5.688505-5-6.591151-1 5.693008-5-7.050523-1 5.696386-5-7.625944-1 5.707655-5-1.074010+0 5.711036-5-1.215879+0 5.723795-5-1.772433+0 5.736483-5-2.412767+0 5.751377-5-3.101008+0 5.770692-5-3.942905+0 5.785590-5-4.282314+0 5.805217-5-4.398948+0 5.826675-5-4.225183+0 5.871145-5-3.610617+0 5.913566-5-3.462751+0 6.005606-5-3.389643+0 6.632205-5-2.489005+0 7.206656-5-1.833108+0 7.672140-5-1.409860+0 8.074394-5-1.107241+0 8.513637-5-8.353612-1 8.978229-5-6.019376-1 9.370402-5-4.408924-1 9.754980-5-3.107801-1 1.007054-4-2.194032-1 1.033188-4-1.547302-1 1.070853-4-7.139643-2 1.098474-4-2.041537-2 1.132562-4 3.528712-2 1.164758-4 8.019117-2 1.191041-4 1.109636-1 1.219860-4 1.411473-1 1.255365-4 1.739982-1 1.313654-4 2.170863-1 1.364123-4 2.461786-1 1.462177-4 2.849234-1 1.572590-4 3.112207-1 1.748474-4 3.280856-1 1.992796-4 3.286724-1 2.559940-4 2.942951-1 3.748008-4 2.105800-1 4.608747-4 1.659326-1 5.487459-4 1.331752-1 6.384593-4 1.089377-1 7.462090-4 8.773663-2 8.538916-4 7.221802-2 9.738152-4 5.931953-2 1.110102-3 4.850964-2 1.267131-3 3.936985-2 1.435133-3 3.219375-2 1.646293-3 2.567875-2 1.858623-3 2.092454-2 2.117665-3 1.673232-2 2.401832-3 1.342200-2 2.726858-3 1.070308-2 3.050982-3 8.726638-3 3.431538-3 7.016634-3 3.880519-3 5.555715-3 4.318344-3 4.515154-3 4.779205-3 3.688197-3 5.303118-3 2.980728-3 5.962386-3 2.324133-3 6.602620-3 1.853659-3 7.538482-3 1.343533-3 8.175389-3 1.079368-3 8.882461-3 8.500716-4 9.663624-3 6.529498-4 1.047481-2 4.931179-4 1.133030-2 3.603530-4 1.211640-2 2.623115-4 1.287738-2 1.839897-4 1.363729-2 1.184932-4 1.422309-2 7.500539-5 1.479108-2 3.767601-5 1.512659-2 1.757443-5 1.545534-2-8.659717-7 1.577374-2-1.763828-5 1.608511-2-3.308589-5 1.667990-2-6.022574-5 1.745242-2-9.139627-5 1.843814-2-1.256688-4 1.972490-2-1.628715-4 2.174505-2-2.085373-4 2.452565-2-2.538657-4 2.807687-2-2.933777-4 3.386789-2-3.331285-4 4.353163-2-3.676251-4 6.301680-2-3.952963-4 1.160256-1-4.130983-4 3.513676-1-4.197330-4 1.070165+0-4.204575-4 3.231848+0-4.205354-4 9.760024+0-4.205439-4 1.000000+1-4.205418-4 1 4000 7 0 9.012200+0 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 8.557390-3 1.150897-6 1.583454-2 1.223952-6 2.087632-2 1.301644-6 2.766146-2 1.384268-6 3.686244-2 1.472137-6 4.945084-2 1.518141-6 5.743776-2 1.565583-6 6.685511-2 1.614508-6 7.799495-2 1.664961-6 9.121893-2 1.716991-6 1.069779-1 1.770647-6 1.258323-1 1.824366-6 1.477767-1 1.876406-6 1.724457-1 1.926820-6 2.000722-1 1.975658-6 2.308969-1 2.022970-6 2.651631-1 2.068804-6 3.030823-1 2.113205-6 3.449244-1 2.156219-6 3.910439-1 2.197888-6 4.417708-1 2.238256-6 4.974403-1 2.277362-6 5.584059-1 2.315246-6 6.250407-1 2.351946-6 6.977382-1 2.387499-6 7.769133-1 2.421941-6 8.630031-1 2.455307-6 9.564680-1 2.487630-6 1.057793+0 2.518943-6 1.167487+0 2.549278-6 1.286087+0 2.578664-6 1.414158+0 2.607132-6 1.552291+0 2.634711-6 1.701108+0 2.661428-6 1.861262+0 2.687309-6 2.033437+0 2.712383-6 2.218352+0 2.736672-6 2.416759+0 2.760202-6 2.629445+0 2.782998-6 2.857233+0 2.805080-6 3.100985+0 2.826473-6 3.361602+0 2.867274-6 3.937233+0 2.905564-6 4.592151+0 2.941499-6 5.335298+0 2.958629-6 5.743492+0 2.991299-6 6.641267+0 3.022446-6 7.669938+0 3.051646-6 8.824353+0 3.079021-6 1.011940+1 3.104685-6 1.156965+1 3.128745-6 1.318994+1 3.151301-6 1.499599+1 3.172448-6 1.700436+1 3.192273-6 1.923256+1 3.210859-6 2.169901+1 3.228283-6 2.442308+1 3.244618-6 2.742502+1 3.259932-6 3.072598+1 3.274290-6 3.434799+1 3.287749-6 3.831394+1 3.300368-6 4.264760+1 3.312198-6 4.737362+1 3.323288-6 5.251762+1 3.333686-6 5.810627+1 3.343433-6 6.416756+1 3.352572-6 7.073114+1 3.361139-6 7.782894+1 3.369171-6 8.549605+1 3.376700-6 9.377200+1 3.383760-6 1.027023+2 3.390378-6 1.123399+2 3.396582-6 1.227462+2 3.402398-6 1.339908+2 3.407851-6 1.461497+2 3.412964-6 1.593010+2 3.417756-6 1.735201+2 3.422250-6 1.888731+2 3.426462-6 2.054106+2 3.430411-6 2.231626+2 3.437815-6 2.637391+2 3.444294-6 3.091912+2 3.449963-6 3.587609+2 3.454924-6 4.113710+2 3.459264-6 4.657895+2 3.463062-6 5.207812+2 3.469293-6 6.281606+2 3.487181-6 1.085250+3 3.493811-6 1.321595+3 3.499097-6 1.538453+3 3.504893-6 1.805139+3 3.507689-6 1.944131+3 3.516280-6 2.409098+3 3.517354-6 2.470705+3 3.524871-6 2.917540+3 3.527825-6 3.098057+3 3.534241-6 3.491628+3 3.538487-6 3.747356+3 3.540971-6 3.893050+3 3.545047-6 4.122772+3 3.549442-6 4.353237+3 3.553344-6 4.538777+3 3.557656-6 4.718573+3 3.558953-6 4.766871+3 3.563391-6 4.909799+3 3.567653-6 5.012132+3 3.570119-6 5.054713+3 3.574611-6 5.099669+3 3.577093-6 5.106133+3 3.585410-6 5.032709+3 3.589192-6 4.952538+3 3.594140-6 4.806993+3 3.597569-6 4.681403+3 3.602194-6 4.483912+3 3.606792-6 4.260466+3 3.610812-6 4.047466+3 3.614170-6 3.859932+3 3.618487-6 3.609835+3 3.623228-6 3.328700+3 3.627969-6 3.046443+3 3.632801-6 2.762980+3 3.636560-6 2.548525+3 3.645151-6 2.088352+3 3.648105-6 1.942020+3 3.653743-6 1.681865+3 3.660472-6 1.406145+3 3.667762-6 1.150606+3 3.685748-6 6.957111+2 3.692894-6 5.729069+2 3.696456-6 5.215130+2 3.700012-6 4.759290+2 3.703561-6 4.355470+2 3.710644-6 3.680947+2 3.717700-6 3.151993+2 3.724728-6 2.735172+2 3.731728-6 2.403811+2 3.738702-6 2.137226+2 3.745648-6 1.919736+2 3.752566-6 1.739651+2 3.759458-6 1.588347+2 3.766323-6 1.459488+2 3.773161-6 1.348406+2 3.779973-6 1.251631+2 3.786758-6 1.166552+2 3.800274-6 1.023674+2 3.813685-6 9.087683+1 3.826992-6 8.145219+1 3.840194-6 7.360003+1 3.853293-6 6.697334+1 3.866290-6 6.131988+1 3.879185-6 5.645133+1 3.891980-6 5.222413+1 3.904675-6 4.852693+1 3.917270-6 4.527198+1 3.929767-6 4.238893+1 3.942166-6 3.982063+1 3.966771-6 3.543375+1 3.990992-6 3.185024+1 4.014834-6 2.887803+1 4.038304-6 2.638261+1 4.061407-6 2.426480+1 4.084149-6 2.244970+1 4.106535-6 2.088044+1 4.128572-6 1.951367+1 4.150264-6 1.831560+1 4.171618-6 1.725845+1 4.213658-6 1.546413+1 4.254384-6 1.401362+1 4.293837-6 1.282365+1 4.332057-6 1.183426+1 4.369083-6 1.100101+1 4.404952-6 1.029150+1 4.439700-6 9.682360+0 4.473362-6 9.155784+0 4.538583-6 8.274514+0 4.599727-6 7.580180+0 4.657049-6 7.024487+0 4.710789-6 6.572171+0 4.761171-6 6.200200+0 4.855635-6 5.602716+0 4.938292-6 5.163714+0 5.010617-6 4.833789+0 5.073901-6 4.580844+0 5.184648-6 4.197779+0 5.267708-6 3.951435+0 5.392298-6 3.635392+0 5.584784-6 3.235247+0 5.761313-6 2.939778+0 6.088220-6 2.482731+0 6.163158-6 2.360055+0 6.218825-6 2.265441+0 6.234057-6 2.246258+0 6.249289-6 2.233193+0 6.264521-6 2.227791+0 6.279753-6 2.231002+0 6.294984-6 2.242878+0 6.310216-6 2.262414+0 6.355912-6 2.342931+0 6.371144-6 2.366773+0 6.386376-6 2.384438+0 6.401607-6 2.394256+0 6.416839-6 2.395603+0 6.432071-6 2.388838+0 6.447303-6 2.375092+0 6.477767-6 2.333206+0 6.553710-6 2.211763+0 6.617761-6 2.130191+0 6.825929-6 1.920600+0 6.925386-6 1.809276+0 6.975114-6 1.737434+0 7.042192-6 1.625785+0 7.059483-6 1.601792+0 7.076774-6 1.584301+0 7.094065-6 1.575986+0 7.111355-6 1.579095+0 7.120001-6 1.585394+0 7.128646-6 1.594939+0 7.141788-6 1.615510+0 7.163228-6 1.662885+0 7.215101-6 1.808648+0 7.232392-6 1.850282+0 7.250020-6 1.881681+0 7.260596-6 1.893985+0 7.272430-6 1.901469+0 7.284265-6 1.902263+0 7.301555-6 1.891977+0 7.318846-6 1.869723+0 7.336137-6 1.837987+0 7.370719-6 1.757415+0 7.425079-6 1.628173+0 7.443265-6 1.594031+0 7.461452-6 1.567527+0 7.479638-6 1.549761+0 7.493394-6 1.542391+0 7.507150-6 1.540094+0 7.520673-6 1.542327+0 7.534197-6 1.548285+0 7.588756-6 1.588581+0 7.606943-6 1.599218+0 7.625129-6 1.605057+0 7.643315-6 1.605427+0 7.661502-6 1.600678+0 7.697875-6 1.580922+0 7.752434-6 1.548868+0 7.785450-6 1.536957+0 7.877996-6 1.521849+0 8.103459-6 1.476751+0 8.275768-6 1.443812+0 8.439747-6 1.421510+0 8.709636-6 1.393440+0 8.977598-6 1.371577+0 9.258148-6 1.356330+0 9.885531-6 1.341235+0 1.023293-5 1.341686+0 1.060000-5 1.346002+0 1.100000-5 1.355325+0 1.180000-5 1.383773+0 1.230269-5 1.406762+0 1.440000-5 1.514239+0 1.766769-5 1.675828+0 1.923538-5 1.743534+0 2.120838-5 1.819181+0 2.278125-5 1.870361+0 2.510088-5 1.931016+0 2.810283-5 1.998029+0 3.076982-5 2.039813+0 3.412911-5 2.073751+0 3.785515-5 2.090897+0 4.168694-5 2.089358+0 4.570882-5 2.068703+0 5.020176-5 2.025547+0 5.499771-5 1.951892+0 5.913646-5 1.867683+0 6.329563-5 1.766210+0 6.722023-5 1.649044+0 6.998666-5 1.557473+0 7.448249-5 1.388219+0 7.771574-5 1.249730+0 7.973652-5 1.157560+0 8.197483-5 1.048319+0 8.377819-5 9.557921-1 8.471092-5 9.062954-1 8.653415-5 8.058457-1 8.821231-5 7.099644-1 8.980064-5 6.166900-1 9.128970-5 5.276193-1 9.194566-5 4.880697-1 9.313820-5 4.160316-1 9.425620-5 3.489244-1 9.530433-5 2.870809-1 9.637165-5 2.260407-1 9.720815-5 1.804501-1 9.747793-5 1.663419-1 9.807178-5 1.365944-1 9.846099-5 1.182534-1 9.888144-5 9.966649-2 9.940878-5 7.846333-2 9.964049-5 6.999460-2 1.003521-4 4.779745-2 1.010192-4 3.330703-2 1.011303-4 3.160443-2 1.016447-4 2.684101-2 1.019113-4 2.663964-2 1.022310-4 2.875950-2 1.025059-4 3.289539-2 1.026434-4 3.585343-2 1.027721-4 3.919750-2 1.030301-4 4.770884-2 1.033298-4 6.093325-2 1.037565-4 8.679746-2 1.039837-4 1.043341-1 1.042038-4 1.240031-1 1.044170-4 1.456116-1 1.046235-4 1.688518-1 1.048236-4 1.932865-1 1.050174-4 2.183525-1 1.052052-4 2.433839-1 1.055633-4 2.904350-1 1.058969-4 3.286658-1 1.062476-4 3.569061-1 1.064222-4 3.647854-1 1.067027-4 3.676580-1 1.069667-4 3.592481-1 1.072760-4 3.370455-1 1.075067-4 3.135920-1 1.077232-4 2.880196-1 1.079264-4 2.625727-1 1.082961-4 2.192966-1 1.084668-4 2.043390-1 1.086267-4 1.960275-1 1.087767-4 1.956926-1 1.089173-4 2.045736-1 1.090491-4 2.237884-1 1.091727-4 2.542929-1 1.092937-4 2.991128-1 1.093971-4 3.519527-1 1.094989-4 4.198929-1 1.095944-4 5.006659-1 1.096839-4 5.940218-1 1.098464-4 8.163336-1 1.100584-4 1.236331+0 1.101794-4 1.559635+0 1.102853-4 1.903105+0 1.103779-4 2.256669+0 1.104589-4 2.611400+0 1.105298-4 2.959870+0 1.106462-4 3.616285+0 1.107412-4 4.238119+0 1.108659-4 5.183907+0 1.109811-4 6.201263+0 1.110753-4 7.143669+0 1.111314-4 7.754333+0 1.112154-4 8.743240+0 1.112995-4 9.822623+0 1.114361-4 1.177687+1 1.115386-4 1.340852+1 1.115728-4 1.398422+1 1.118461-4 1.914954+1 1.119272-4 2.086404+1 1.120233-4 2.298965+1 1.121364-4 2.560976+1 1.122245-4 2.772135+1 1.123926-4 3.187313+1 1.124866-4 3.422671+1 1.125986-4 3.702705+1 1.127143-4 3.986548+1 1.128309-4 4.262222+1 1.129282-4 4.480839+1 1.130220-4 4.678619+1 1.131229-4 4.873941+1 1.132295-4 5.057501+1 1.133576-4 5.242664+1 1.134722-4 5.371806+1 1.135586-4 5.444648+1 1.136932-4 5.514139+1 1.137972-4 5.530200+1 1.139083-4 5.511131+1 1.140249-4 5.451728+1 1.141454-4 5.350066+1 1.142752-4 5.198377+1 1.143780-4 5.050444+1 1.145044-4 4.839759+1 1.146030-4 4.656938+1 1.147138-4 4.436616+1 1.148063-4 4.243543+1 1.149253-4 3.987643+1 1.150450-4 3.726275+1 1.151972-4 3.396852+1 1.153956-4 2.985835+1 1.157988-4 2.273243+1 1.159736-4 2.029704+1 1.160965-4 1.883583+1 1.161630-4 1.813197+1 1.162433-4 1.735919+1 1.163313-4 1.660635+1 1.164523-4 1.572470+1 1.165578-4 1.508836+1 1.166332-4 1.470358+1 1.166904-4 1.444728+1 1.168169-4 1.397990+1 1.168993-4 1.374147+1 1.170353-4 1.344414+1 1.171722-4 1.324527+1 1.172942-4 1.313438+1 1.175020-4 1.304818+1 1.177794-4 1.304911+1 1.184257-4 1.313183+1 1.188141-4 1.309863+1 1.193232-4 1.295964+1 1.205898-4 1.252324+1 1.215812-4 1.229021+1 1.230269-4 1.205958+1 1.245186-4 1.187630+1 1.262500-4 1.173361+1 1.282627-4 1.164615+1 1.305786-4 1.161353+1 1.333259-4 1.165223+1 1.358399-4 1.174124+1 1.404239-4 1.196468+1 1.464180-4 1.230118+1 1.536053-4 1.272243+1 1.621810-4 1.314147+1 1.679135-4 1.337220+1 1.748458-4 1.357145+1 1.877455-4 1.378253+1 2.041738-4 1.384325+1 2.278405-4 1.376840+1 2.636426-4 1.357131+1 2.950214-4 1.336353+1 3.498148-4 1.295314+1 3.958220-4 1.260887+1 5.983001-4 1.145040+1 6.552488-4 1.117768+1 7.646744-4 1.061131+1 8.532762-4 1.024999+1 1.046375-3 9.476570+0 1.193840-3 8.904003+0 1.332174-3 8.411311+0 1.452437-3 8.015323+0 1.595693-3 7.571567+0 1.747902-3 7.120232+0 1.937769-3 6.604607+0 2.207950-3 5.964115+0 2.575951-3 5.243384+0 4.283329-3 3.366519+0 5.485664-3 2.720164+0 6.307970-3 2.401722+0 7.058492-3 2.158877+0 7.851514-3 1.939802+0 8.687729-3 1.738552+0 9.443507-3 1.578792+0 1.031245-2 1.417806+0 1.136832-2 1.249663+0 1.258901-2 1.086341+0 1.446847-2 8.904213-1 1.603804-2 7.635003-1 1.769535-2 6.540319-1 2.011818-2 5.300597-1 2.374753-2 4.011074-1 2.792549-2 3.033531-1 3.304978-2 2.251837-1 3.949271-2 1.630533-1 4.738692-2 1.163099-1 5.805051-2 7.923770-2 7.402442-2 4.963093-2 1.004462-1 2.733980-2 1.493983-1 1.247838-2 2.938495-1 3.245138-3 8.906099-1 3.539466-4 2.688134+0 3.885989-5 8.118035+0 4.261000-6 2.451607+1 4.672105-7 7.403736+1 5.122863-8 2.235892+2 5.617108-9 6.752287+2 6.15904-10 2.511886+3 4.45056-11 7.943282+3 4.45056-12 2.511886+4 4.45056-13 7.943282+4 4.45056-14 1.000000+5 2.80811-14 1 4000 7 7 9.012200+0 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 4000 7 0 9.012200+0 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.870200-7 1.258900-6 6.133800-7 1.584900-6 9.721400-7 1.995300-6 1.540700-6 2.511900-6 2.441900-6 3.162300-6 3.870100-6 3.981100-6 6.133700-6 5.011900-6 9.721200-6 6.309600-6 1.540700-5 7.943300-6 2.441800-5 1.000000-5 3.870000-5 1.258900-5 6.133400-5 1.584900-5 9.720700-5 1.995300-5 1.540600-4 2.511900-5 2.441600-4 3.162300-5 3.869100-4 3.981100-5 6.129600-4 5.011900-5 9.711000-4 6.309600-5 1.538600-3 7.943300-5 2.437700-3 1.000000-4 3.859200-3 1.258900-4 6.108700-3 1.584900-4 9.655600-3 1.995300-4 1.525300-2 2.511900-4 2.404300-2 3.162300-4 3.775800-2 3.981100-4 5.912000-2 5.011900-4 9.187700-2 6.309600-4 1.411100-1 7.943300-4 2.128900-1 1.000000-3 3.132800-1 1.258900-3 4.467700-1 1.584900-3 6.091500-1 1.995300-3 7.900100-1 2.511900-3 9.698800-1 3.162300-3 1.137600+0 3.981100-3 1.289100+0 5.011900-3 1.435100+0 6.309600-3 1.584500+0 7.943300-3 1.740000+0 1.000000-2 1.894200+0 1.258900-2 2.031900+0 1.584900-2 2.134000+0 1.995300-2 2.212700+0 2.511900-2 2.249900+0 3.162300-2 2.255700+0 3.981100-2 2.235100+0 5.011900-2 2.191900+0 6.309600-2 2.129000+0 7.943300-2 2.049600+0 1.000000-1 1.956500+0 1.258900-1 1.852500+0 1.584900-1 1.740500+0 1.995300-1 1.623300+0 2.511900-1 1.503900+0 3.162300-1 1.384900+0 3.981100-1 1.268100+0 5.011900-1 1.154900+0 6.309600-1 1.046200+0 7.943300-1 9.426500-1 1.000000+0 8.446200-1 1.258900+0 7.523600-1 1.584900+0 6.661300-1 1.995300+0 5.861400-1 2.511900+0 5.125900-1 3.162300+0 4.455600-1 3.981100+0 3.850400-1 5.011900+0 3.309100-1 6.309600+0 2.829200-1 7.943300+0 2.407300-1 1.000000+1 2.039400-1 1.258900+1 1.720700-1 1.584900+1 1.446600-1 1.995300+1 1.212100-1 2.511900+1 1.012600-1 3.162300+1 8.436800-2 3.981100+1 7.012000-2 5.011900+1 5.815000-2 6.309600+1 4.812700-2 7.943300+1 3.975900-2 1.000000+2 3.279200-2 1.258900+2 2.700500-2 1.584900+2 2.220800-2 1.995300+2 1.824000-2 2.511900+2 1.496400-2 3.162300+2 1.226200-2 3.981100+2 1.003900-2 5.011900+2 8.210500-3 6.309600+2 6.709400-3 7.943300+2 5.478300-3 1.000000+3 4.469600-3 1.258900+3 3.644000-3 1.584900+3 2.968900-3 1.995300+3 2.417300-3 2.511900+3 1.967000-3 3.162300+3 1.599700-3 3.981100+3 1.300200-3 5.011900+3 1.056200-3 6.309600+3 8.576300-4 7.943300+3 6.960400-4 1.000000+4 5.646300-4 1.258900+4 4.578300-4 1.584900+4 3.710800-4 1.995300+4 3.006400-4 2.511900+4 2.434800-4 3.162300+4 1.971200-4 3.981100+4 1.595200-4 5.011900+4 1.290500-4 6.309600+4 1.043700-4 7.943300+4 8.438100-5 1.000000+5 6.819800-5 1 4000 7 7 9.012200+0 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159549-4 3.981072-4 3.976742-4 5.011872-4 5.005046-4 6.309573-4 6.298778-4 7.943282-4 7.926329-4 1.000000-3 9.973401-4 1.258925-3 1.254767-3 1.584893-3 1.578435-3 1.995262-3 1.985284-3 2.511886-3 2.496592-3 3.162278-3 3.138870-3 3.981072-3 3.945222-3 5.011872-3 4.956541-3 6.309573-3 6.223498-3 7.943282-3 7.808731-3 1.000000-2 9.789849-3 1.258925-2 1.226280-2 1.584893-2 1.534498-2 1.995262-2 1.917998-2 2.511886-2 2.393783-2 3.162278-2 2.982332-2 3.981072-2 3.707577-2 5.011872-2 4.597774-2 6.309573-2 5.685322-2 7.943282-2 7.008316-2 1.000000-1 8.610251-2 1.258925-1 1.054151-1 1.584893-1 1.285998-1 1.995262-1 1.563242-1 2.511886-1 1.893627-1 3.162278-1 2.285917-1 3.981072-1 2.750317-1 5.011872-1 3.298620-1 6.309573-1 3.944578-1 7.943282-1 4.704744-1 1.000000+0 5.599243-1 1.258925+0 6.652859-1 1.584893+0 7.896209-1 1.995262+0 9.366921-1 2.511886+0 1.111206+0 3.162278+0 1.318893+0 3.981072+0 1.566771+0 5.011872+0 1.863518+0 6.309573+0 2.219662+0 7.943282+0 2.648127+0 1.000000+1 3.164685+0 1.258925+1 3.788683+0 1.584893+1 4.543798+0 1.995262+1 5.458936+0 2.511886+1 6.569658+0 3.162278+1 7.919592+0 3.981072+1 9.562030+0 5.011872+1 1.156278+1 6.309573+1 1.400239+1 7.943282+1 1.697997+1 1.000000+2 2.061732+1 1.258925+2 2.506458+1 1.584893+2 3.050620+1 1.995262+2 3.716930+1 2.511886+2 4.533450+1 3.162278+2 5.534688+1 3.981072+2 6.763143+1 5.011872+2 8.271474+1 6.309573+2 1.012442+2 7.943282+2 1.240202+2 1.000000+3 1.520295+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 4000 7 9 9.012200+0 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739852-9 3.981072-5 4.341952-9 5.011872-5 6.881160-9 6.309573-5 1.090552-8 7.943282-5 1.728312-8 1.000000-4 2.738441-8 1.258925-4 4.339367-8 1.584893-4 6.873757-8 1.995262-4 1.088935-7 2.511886-4 1.724479-7 3.162278-4 2.729027-7 3.981072-4 4.329610-7 5.011872-4 6.825964-7 6.309573-4 1.079516-6 7.943282-4 1.695287-6 1.000000-3 2.659894-6 1.258925-3 4.158731-6 1.584893-3 6.458677-6 1.995262-3 9.978659-6 2.511886-3 1.529459-5 3.162278-3 2.340798-5 3.981072-3 3.584934-5 5.011872-3 5.533091-5 6.309573-3 8.607585-5 7.943282-3 1.345513-4 1.000000-2 2.101514-4 1.258925-2 3.264567-4 1.584893-2 5.039478-4 1.995262-2 7.726418-4 2.511886-2 1.181037-3 3.162278-2 1.799459-3 3.981072-2 2.734943-3 5.011872-2 4.140980-3 6.309573-2 6.242513-3 7.943282-2 9.349660-3 1.000000-1 1.389749-2 1.258925-1 2.047742-2 1.584893-1 2.988951-2 1.995262-1 4.320206-2 2.511886-1 6.182593-2 3.162278-1 8.763604-2 3.981072-1 1.230755-1 5.011872-1 1.713252-1 6.309573-1 2.364996-1 7.943282-1 3.238538-1 1.000000+0 4.400757-1 1.258925+0 5.936395-1 1.584893+0 7.952723-1 1.995262+0 1.058570+0 2.511886+0 1.400680+0 3.162278+0 1.843384+0 3.981072+0 2.414301+0 5.011872+0 3.148355+0 6.309573+0 4.089912+0 7.943282+0 5.295156+0 1.000000+1 6.835315+0 1.258925+1 8.800571+0 1.584893+1 1.130513+1 1.995262+1 1.449369+1 2.511886+1 1.854921+1 3.162278+1 2.370318+1 3.981072+1 3.024869+1 5.011872+1 3.855594+1 6.309573+1 4.909335+1 7.943282+1 6.245285+1 1.000000+2 7.938268+1 1.258925+2 1.008280+2 1.584893+2 1.279831+2 1.995262+2 1.623569+2 2.511886+2 2.058541+2 3.162278+2 2.608809+2 3.981072+2 3.304757+2 5.011872+2 4.184725+2 6.309573+2 5.297132+2 7.943282+2 6.703081+2 1.000000+3 8.479705+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 4000 7 0 9.012200+0 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 8.180000-6 1.361886+6 8.400000-6 1.470288+6 8.550000-6 1.539822+6 8.709636-6 1.608646+6 8.912509-6 1.688826+6 9.120108-6 1.762033+6 9.350000-6 1.834572+6 9.600000-6 1.902500+6 9.885531-6 1.968718+6 1.023293-5 2.033663+6 1.060000-5 2.085760+6 1.100000-5 2.126520+6 1.135011-5 2.150466+6 1.180000-5 2.167580+6 1.230269-5 2.171786+6 1.290000-5 2.160820+6 1.350000-5 2.136920+6 1.428894-5 2.091299+6 1.513561-5 2.030435+6 1.610000-5 1.952756+6 1.717908-5 1.861117+6 1.850000-5 1.747918+6 2.000000-5 1.623762+6 2.162719-5 1.498012+6 2.371374-5 1.351922+6 2.600160-5 1.211360+6 2.884032-5 1.062460+6 3.198895-5 9.247258+5 3.548134-5 7.990502+5 3.935501-5 6.852050+5 4.315191-5 5.937712+5 4.731513-5 5.110916+5 5.188000-5 4.368857+5 5.688529-5 3.706455+5 6.237348-5 3.121091+5 6.839116-5 2.608498+5 7.500000-5 2.163960+5 8.317638-5 1.741329+5 9.332543-5 1.356123+5 1.059254-4 1.021682+5 1.183600-4 7.922294+4 1.183600-4 2.545443+6 1.197000-4 2.430345+6 1.216186-4 2.294965+6 1.230269-4 2.212377+6 1.233000-4 2.196809+6 1.255000-4 2.089482+6 1.285000-4 1.970069+6 1.318257-4 1.861761+6 1.364583-4 1.737559+6 1.445440-4 1.559550+6 1.513561-4 1.430299+6 1.584893-4 1.304712+6 1.659587-4 1.182752+6 1.737801-4 1.065797+6 1.850000-4 9.181822+5 2.041738-4 7.188106+5 2.483133-4 4.382730+5 2.754229-4 3.353272+5 3.090295-4 2.472203+5 3.162278-4 2.325876+5 3.507519-4 1.759954+5 3.890451-4 1.331459+5 4.027170-4 1.211273+5 4.466836-4 9.117514+4 4.570882-4 8.549784+4 5.248075-4 5.811889+4 5.370318-4 5.449547+4 6.309573-4 3.450466+4 7.413102-4 2.167867+4 7.673615-4 1.962260+4 8.810489-4 1.310427+4 9.225714-4 1.145334+4 1.035142-3 8.144848+3 1.135011-3 6.199879+3 1.230269-3 4.868071+3 1.400000-3 3.302547+3 1.479108-3 2.794240+3 1.717908-3 1.772278+3 1.819701-3 1.484404+3 2.089296-3 9.699007+2 2.213095-3 8.106786+2 2.540973-3 5.270590+2 2.722701-3 4.240030+2 3.162278-3 2.645764+2 3.273407-3 2.370631+2 3.845918-3 1.419807+2 4.073803-3 1.180079+2 4.897788-3 6.528142+1 5.128614-3 5.622270+1 6.309573-3 2.869807+1 6.606934-3 2.468337+1 8.317638-3 1.161589+1 8.609938-3 1.036460+1 1.122018-2 4.324450+0 1.148154-2 4.005683+0 1.566751-2 1.424381+0 1.603245-2 1.318713+0 2.290868-2 3.991491-1 2.317395-2 3.839769-1 3.507519-2 9.512473-2 3.672823-2 8.146102-2 6.998420-2 9.241626-3 7.328245-2 7.911169-3 9.772372-2 3.004478-3 1.011580-1 2.675017-3 1.318257-1 1.105861-3 1.364583-1 9.855536-4 1.603245-1 5.788395-4 1.640590-1 5.364833-4 1.905461-1 3.293324-4 1.927525-1 3.172059-4 2.238721-1 1.959713-4 2.264644-1 1.888488-4 2.570396-1 1.264837-4 2.917427-1 8.533461-5 3.273407-1 6.009418-5 3.630781-1 4.412751-5 4.027170-1 3.263976-5 4.415705-1 2.513508-5 4.841724-1 1.948797-5 5.308844-1 1.522096-5 5.754399-1 1.234415-5 5.821032-1 1.198060-5 6.237348-1 1.006799-5 6.309573-1 9.780680-6 6.760830-1 8.266217-6 6.839117-1 8.037954-6 7.328245-1 6.831458-6 7.413102-1 6.649019-6 8.000000-1 5.591639-6 8.035261-1 5.536130-6 8.810489-1 4.534849-6 1.011579+0 3.394160-6 1.047129+0 3.160236-6 1.188502+0 2.432519-6 1.202264+0 2.377144-6 1.303167+0 2.023667-6 1.318257+0 1.979408-6 1.396368+0 1.772537-6 1.412538+0 1.735553-6 1.500000+0 1.555049-6 1.513561+0 1.531177-6 1.603245+0 1.387270-6 1.621810+0 1.361603-6 1.737801+0 1.217585-6 1.757924+0 1.196248-6 1.883649+0 1.076093-6 1.905461+0 1.057893-6 2.238721+0 8.333713-7 2.540973+0 6.959995-7 2.917427+0 5.761145-7 3.388442+0 4.729821-7 4.000000+0 3.831010-7 4.786301+0 3.073334-7 5.821032+0 2.435645-7 7.413102+0 1.843396-7 9.440609+0 1.405394-7 9.549926+0 1.387849-7 1.303167+1 9.890056-8 1.318257+1 9.769301-8 1.840772+1 6.843379-8 1.862087+1 6.761420-8 2.754229+1 4.490076-8 2.800000+1 4.414535-8 4.786301+1 2.542948-8 4.954502+1 2.455211-8 9.549926+1 1.260376-8 9.885531+1 1.217254-8 1.905461+2 6.283612-9 1.972423+2 6.069593-9 7.585776+2 1.571491-9 7.852356+2 1.518125-9 1.000000+5 1.19105-11 1 4000 7 0 9.012200+0 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 8.180000-6 8.180000-6 1.183600-4 8.180000-6 1.183600-4 1.149308-4 1.318257-4 1.147102-4 1.850000-4 1.150567-4 5.370318-4 1.146130-4 3.273407-3 1.143038-4 4.954502+1 1.141930-4 1.000000+5 1.141925-4 1 4000 7 9 9.012200+0 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.180000-6 0.0 1.183600-4 1.101800-4 1.183600-4 3.429181-6 1.197000-4 4.840111-6 1.216186-4 6.832551-6 1.233000-4 8.557584-6 1.255000-4 1.078907-5 1.318257-4 1.711554-5 1.659587-4 5.092820-5 3.273407-3 3.159103-3 1.000000+5 1.000000+5 1 4000 7 0 9.012200+0 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.183600-4 2.466220+6 1.197000-4 2.353140+6 1.216186-4 2.220522+6 1.233000-4 2.124680+6 1.255000-4 2.020280+6 1.285000-4 1.904592+6 1.318257-4 1.800088+6 1.364583-4 1.680679+6 1.513561-4 1.385768+6 1.584893-4 1.264817+6 1.659587-4 1.147011+6 1.737801-4 1.033777+6 1.850000-4 8.906540+5 2.041738-4 6.971185+5 2.483133-4 4.247542+5 2.754229-4 3.248023+5 3.162278-4 2.251076+5 3.890451-4 1.287429+5 4.466836-4 8.811893+4 5.370318-4 5.264221+4 6.309573-4 3.331830+4 7.673615-4 1.893880+4 9.225714-4 1.104988+4 1.135011-3 5.979501+3 1.400000-3 3.184300+3 1.717908-3 1.708430+3 2.089296-3 9.347272+2 2.540973-3 5.078205+2 3.162278-3 2.548525+2 3.845918-3 1.367429+2 4.897788-3 6.286177+1 6.309573-3 2.763020+1 8.317638-3 1.118210+1 1.122018-2 4.162457+0 1.566751-2 1.370882+0 2.290868-2 3.841202-1 3.672823-2 7.838946-2 7.328245-2 7.612624-3 1.011580-1 2.574066-3 1.364583-1 9.483662-4 1.640590-1 5.162488-4 1.927525-1 3.052480-4 2.264644-1 1.817308-4 2.570396-1 1.217187-4 2.917427-1 8.212063-5 3.273407-1 5.783178-5 3.630781-1 4.246687-5 4.027170-1 3.141180-5 4.415705-1 2.418955-5 4.841724-1 1.875488-5 5.308844-1 1.464836-5 5.821032-1 1.152967-5 6.309573-1 9.412449-6 6.839117-1 7.735229-6 7.413102-1 6.398455-6 8.035261-1 5.327393-6 8.810489-1 4.363608-6 1.011579+0 3.265713-6 1.188502+0 2.340416-6 1.303167+0 1.947052-6 1.396368+0 1.705446-6 1.500000+0 1.496200-6 1.603245+0 1.334775-6 1.737801+0 1.171510-6 1.883649+0 1.035371-6 2.238721+0 8.018506-7 2.540973+0 6.696748-7 2.917427+0 5.543232-7 3.388442+0 4.550914-7 4.000000+0 3.686100-7 4.786301+0 2.957083-7 5.821032+0 2.343515-7 7.413102+0 1.773668-7 9.440609+0 1.352224-7 1.303167+1 9.515911-8 1.840772+1 6.584488-8 2.754229+1 4.320215-8 4.786301+1 2.446736-8 9.549926+1 1.212695-8 1.905461+2 6.045912-9 7.585776+2 1.512044-9 1.000000+5 1.14600-11 1 4000 7 0 9.012200+0 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.183600-4 1.183600-4 1.000000+5 1.183600-4 1 4000 7 9 9.012200+0 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.183600-4 0.0 1.000000+5 1.000000+5 1 4000 7 0 9.012200+0 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 8.180000-6 1.361886+6 8.400000-6 1.470288+6 8.550000-6 1.539822+6 8.709636-6 1.608646+6 8.912509-6 1.688826+6 9.120108-6 1.762033+6 9.350000-6 1.834572+6 9.600000-6 1.902500+6 9.885531-6 1.968718+6 1.023293-5 2.033663+6 1.060000-5 2.085760+6 1.100000-5 2.126520+6 1.135011-5 2.150466+6 1.180000-5 2.167580+6 1.230269-5 2.171786+6 1.290000-5 2.160820+6 1.350000-5 2.136920+6 1.428894-5 2.091299+6 1.513561-5 2.030435+6 1.610000-5 1.952756+6 1.717908-5 1.861117+6 1.850000-5 1.747918+6 2.000000-5 1.623762+6 2.162719-5 1.498012+6 2.371374-5 1.351922+6 2.600160-5 1.211360+6 2.884032-5 1.062460+6 3.198895-5 9.247258+5 3.548134-5 7.990502+5 3.935501-5 6.852050+5 4.315191-5 5.937712+5 4.731513-5 5.110916+5 5.188000-5 4.368857+5 5.688529-5 3.706455+5 6.237348-5 3.121091+5 6.839116-5 2.608498+5 7.500000-5 2.163960+5 8.317638-5 1.741329+5 9.332543-5 1.356123+5 1.059254-4 1.021682+5 1.230269-4 7.250430+4 1.445440-4 4.970541+4 1.737801-4 3.202033+4 2.754229-4 1.052486+4 3.090295-4 7.928044+3 3.507519-4 5.757325+3 4.027170-4 4.026495+3 4.570882-4 2.874578+3 5.248075-4 1.975201+3 6.309573-4 1.186362+3 7.413102-4 7.545972+2 8.810489-4 4.610973+2 1.035142-3 2.889595+2 1.230269-3 1.738634+2 1.479108-3 1.003655+2 1.819701-3 5.365359+1 2.213095-3 2.949884+1 2.722701-3 1.553651+1 3.273407-3 8.727234+0 4.073803-3 4.364795+0 5.128614-3 2.087850+0 6.606934-3 9.200453-1 8.609938-3 3.875211-1 1.148154-2 1.501605-1 1.603245-2 4.956130-2 2.317395-2 1.446136-2 3.507519-2 3.588063-3 6.998420-2 3.486080-4 9.772372-2 1.132948-4 1.318257-1 4.169005-5 1.603245-1 2.181519-5 1.905461-1 1.240983-5 2.238721-1 7.382448-6 2.570396-1 4.765041-6 2.917427-1 3.213981-6 3.273407-1 2.262400-6 3.630781-1 1.660644-6 4.027170-1 1.227958-6 4.415705-1 9.455284-7 4.841724-1 7.330939-7 5.308844-1 5.726038-7 5.754399-1 4.642355-7 6.237348-1 3.787327-7 6.760830-1 3.110584-7 7.328245-1 2.572070-7 8.000000-1 2.107200-7 8.810489-1 1.712413-7 1.047129+0 1.195371-7 1.202264+0 8.994563-8 1.318257+0 7.487888-8 1.412538+0 6.563382-8 1.513561+0 5.789503-8 1.621810+0 5.147647-8 1.757924+0 4.523114-8 1.905461+0 4.001492-8 2.238721+0 3.152066-8 2.540973+0 2.632465-8 2.917427+0 2.179129-8 3.388442+0 1.789065-8 4.000000+0 1.449100-8 4.786301+0 1.162512-8 5.821032+0 9.212983-9 7.413102+0 6.972789-9 9.549926+0 5.248798-9 1.318257+1 3.694836-9 1.862087+1 2.557354-9 2.800000+1 1.669600-9 4.954502+1 9.28555-10 9.885531+1 4.60378-10 1.972423+2 2.29572-10 7.852356+2 5.74226-11 1.000000+5 4.50510-13 1 4000 7 0 9.012200+0 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 8.180000-6 8.180000-6 1.000000+5 8.180000-6 1 4000 7 9 9.012200+0 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 8.180000-6 0.0 1.000000+5 1.000000+5 1 4000 7 0 9.012200+0 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 5.85230-10 1.028750+0 5.852300-9 1.036640+0 5.852300-8 1.054080+0 5.852300-7 1.061100+0 1.037600-6 1.065100+0 1.373650-6 1.070400+0 1.916360-6 1.076200+0 2.648380-6 1.080600+0 3.307390-6 1.087100+0 4.456210-6 1.093710+0 5.852300-6 1.102600+0 8.114840-6 1.110700+0 1.058450-5 1.120600+0 1.416090-5 1.133300+0 1.969250-5 1.147500+0 2.719400-5 1.158200+0 3.379660-5 1.174100+0 4.516100-5 1.190110+0 5.852300-5 1.205100+0 7.279520-5 1.227500+0 9.736850-5 1.250000+0 1.260000-4 1.281300+0 1.724880-4 1.308600+0 2.194110-4 1.332500+0 2.652700-4 1.374400+0 3.563170-4 1.405800+0 4.331400-4 1.452900+0 5.614410-4 1.500000+0 7.043000-4 1.562500+0 9.137170-4 1.641100+0 1.205410-3 1.706900+0 1.470160-3 1.811600+0 1.923940-3 1.952900+0 2.586610-3 2.000000+0 2.818000-3 2.044000+0 3.038000-3 2.163500+0 3.648590-3 2.372600+0 4.746680-3 2.647100+0 6.209560-3 3.000000+0 8.082000-3 3.437500+0 1.035080-2 4.000000+0 1.313000-2 4.750000+0 1.655120-2 5.000000+0 1.763000-2 6.000000+0 2.167000-2 7.000000+0 2.528000-2 8.000000+0 2.854000-2 9.000000+0 3.150000-2 1.000000+1 3.420000-2 1.100000+1 3.665000-2 1.200000+1 3.890000-2 1.300000+1 4.100000-2 1.400000+1 4.296000-2 1.500000+1 4.479000-2 1.600000+1 4.651000-2 1.800000+1 4.968000-2 2.000000+1 5.253000-2 2.200000+1 5.511000-2 2.400000+1 5.748000-2 2.600000+1 5.965000-2 2.800000+1 6.166000-2 3.000000+1 6.352000-2 4.000000+1 7.122000-2 5.000000+1 7.699000-2 6.000000+1 8.158000-2 8.000000+1 8.852000-2 1.000000+2 9.355000-2 1.500000+2 1.019000-1 2.000000+2 1.072000-1 3.000000+2 1.138000-1 4.000000+2 1.177000-1 5.000000+2 1.203000-1 6.000000+2 1.223000-1 8.000000+2 1.249000-1 1.000000+3 1.267000-1 1.500000+3 1.293000-1 2.000000+3 1.307000-1 3.000000+3 1.323000-1 4.000000+3 1.331000-1 5.000000+3 1.337000-1 6.000000+3 1.341000-1 8.000000+3 1.346000-1 1.000000+4 1.349000-1 1.500000+4 1.353000-1 2.000000+4 1.356000-1 3.000000+4 1.358000-1 4.000000+4 1.360000-1 5.000000+4 1.360000-1 6.000000+4 1.361000-1 8.000000+4 1.362000-1 1.000000+5 1.362000-1 1 4000 7 8 9.012200+0 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 4000 7 9 9.012200+0 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 4000 7 0 9.012200+0 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 4.016920-8 2.136250+0 4.016920-7 2.184500+0 1.327050-6 2.201800+0 1.836010-6 2.214800+0 2.287520-6 2.234200+0 3.077120-6 2.253680+0 4.016920-6 2.281500+0 5.626410-6 2.307000+0 7.390280-6 2.338200+0 9.936880-6 2.377400+0 1.376140-5 2.410200+0 1.750220-5 2.446800+0 2.226380-5 2.485900+0 2.803130-5 2.532900+0 3.587400-5 2.556430+0 4.016920-5 2.611900+0 5.121990-5 2.660400+0 6.192160-5 2.745300+0 8.287720-5 2.809000+0 1.003680-4 2.904500+0 1.292970-4 3.000000+0 1.614000-4 3.125000+0 2.081320-4 3.234400+0 2.532690-4 3.425800+0 3.411130-4 3.569300+0 4.136860-4 3.784700+0 5.318950-4 4.000000+0 6.590000-4 4.250000+0 8.144210-4 4.625000+0 1.058770-3 5.000000+0 1.313000-3 5.500000+0 1.662450-3 6.000000+0 2.017000-3 6.750000+0 2.545030-3 7.000000+0 2.719000-3 8.000000+0 3.401000-3 9.000000+0 4.055000-3 1.000000+1 4.679000-3 1.100000+1 5.271000-3 1.200000+1 5.830000-3 1.300000+1 6.359000-3 1.400000+1 6.865000-3 1.500000+1 7.344000-3 1.600000+1 7.802000-3 1.800000+1 8.655000-3 2.000000+1 9.436000-3 2.200000+1 1.016000-2 2.400000+1 1.082000-2 2.600000+1 1.144000-2 2.800000+1 1.202000-2 3.000000+1 1.256000-2 4.000000+1 1.485000-2 5.000000+1 1.665000-2 6.000000+1 1.810000-2 8.000000+1 2.037000-2 1.000000+2 2.209000-2 1.500000+2 2.507000-2 2.000000+2 2.706000-2 3.000000+2 2.965000-2 4.000000+2 3.130000-2 5.000000+2 3.248000-2 6.000000+2 3.337000-2 8.000000+2 3.463000-2 1.000000+3 3.550000-2 1.500000+3 3.683000-2 2.000000+3 3.761000-2 3.000000+3 3.848000-2 4.000000+3 3.898000-2 5.000000+3 3.930000-2 6.000000+3 3.953000-2 8.000000+3 3.983000-2 1.000000+4 4.003000-2 1.500000+4 4.030000-2 2.000000+4 4.045000-2 3.000000+4 4.060000-2 4.000000+4 4.070000-2 5.000000+4 4.075000-2 6.000000+4 4.079000-2 8.000000+4 4.083000-2 1.000000+5 4.086000-2 1 4000 7 8 9.012200+0 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 4000 7 9 9.012200+0 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 4000 7 0 9.012200+0 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 4.000000+0 1.000000+5 4.000000+0 5.000000+5 3.997000+0 7.500000+5 3.993120+0 9.375000+5 3.989150+0 1.000000+6 3.988000+0 1.500000+6 3.973200+0 1.875000+6 3.957830+0 2.000000+6 3.952500+0 2.500000+6 3.926400+0 3.000000+6 3.894700+0 3.500000+6 3.858080+0 3.750000+6 3.837830+0 4.000000+6 3.816800+0 4.500000+6 3.771110+0 4.750000+6 3.746610+0 5.000000+6 3.721500+0 5.500000+6 3.668200+0 5.875000+6 3.626210+0 6.156200+6 3.593760+0 6.625000+6 3.538010+0 6.718700+6 3.526780+0 7.000000+6 3.492400+0 7.500000+6 3.429590+0 7.875000+6 3.381620+0 8.250000+6 3.332530+0 8.625000+6 3.283040+0 9.000000+6 3.232500+0 9.750000+6 3.130620+0 1.000000+7 3.097600+0 1.062500+7 3.016990+0 1.125000+7 2.939020+0 1.144500+7 2.914700+0 1.218800+7 2.822930+0 1.250000+7 2.784400+0 1.359400+7 2.650130+0 1.375000+7 2.631400+0 1.453100+7 2.542310+0 1.500000+7 2.492100+0 1.609400+7 2.385090+0 1.750000+7 2.262900+0 1.937500+7 2.119120+0 2.000000+7 2.077100+0 2.125000+7 2.002550+0 2.218800+7 1.953590+0 2.312500+7 1.909920+0 2.500000+7 1.835400+0 2.750000+7 1.756970+0 3.000000+7 1.695100+0 3.750000+7 1.558830+0 4.000000+7 1.519500+0 4.437500+7 1.450760+0 4.812500+7 1.390830+0 5.000000+7 1.360300+0 5.250000+7 1.318890+0 5.625000+7 1.256090+0 6.000000+7 1.193000+0 6.437500+7 1.119770+0 6.812500+7 1.058010+0 7.000000+7 1.027700+0 7.437500+7 9.584060-1 8.000000+7 8.743000-1 8.500000+7 8.045860-1 8.875000+7 7.545130-1 9.000000+7 7.381200-1 1.000000+8 6.206000-1 1.125000+8 5.193370-1 1.140600+8 5.080780-1 1.179700+8 4.798740-1 1.214800+8 4.542500-1 1.250000+8 4.279800-1 1.281300+8 4.041660-1 1.308600+8 3.835280-1 1.356400+8 3.487110-1 1.437500+8 2.961100-1 1.500000+8 2.623500-1 1.562500+8 2.342880-1 1.835900+8 1.520120-1 1.875000+8 1.435460-1 1.945300+8 1.296320-1 2.000000+8 1.198200-1 2.117200+8 1.012800-1 2.253900+8 8.352040-2 2.438500+8 6.498110-2 2.500000+8 5.994500-2 2.750000+8 4.385090-2 2.937500+8 3.515080-2 3.000000+8 3.272000-2 3.250000+8 2.479510-2 3.500000+8 1.908500-2 3.875000+8 1.325130-2 4.000000+8 1.181000-2 4.437500+8 8.059430-3 5.000000+8 5.152100-3 5.750000+8 3.027590-3 6.000000+8 2.571700-3 7.000000+8 1.418000-3 8.000000+8 8.430900-4 1.000000+9 3.513600-4 1.375000+9 9.985940-5 1.500000+9 7.073800-5 2.000000+9 2.257500-5 5.000000+9 5.915200-7 8.000000+9 9.182800-8 1.00000+10 3.802700-8 1.41360+10 9.728680-9 1.85560+10 3.350110-9 2.40710+10 1.215890-9 3.11120+10 4.50870-10 3.94540+10 1.81345-10 4.70230+10 9.30204-11 5.67350+10 4.58018-11 6.75510+10 2.38445-11 8.17480+10 1.17607-11 9.39160+10 7.06674-12 1.00000+11 5.61970-12 1.17140+11 3.16792-12 1.36540+11 1.82744-12 1.70670+11 8.27831-13 2.04860+11 4.36342-13 2.52170+11 2.12282-13 3.35790+11 7.97093-14 4.68190+11 2.60554-14 6.33390+11 9.58279-15 8.34870+11 3.89081-15 1.31660+12 9.01694-16 1.95920+12 2.57537-16 3.59790+12 3.92686-17 8.26120+12 3.17237-18 2.87420+13 7.89911-20 1.00000+14 2.02490-21 5.62340+14 1.21496-23 5.42470+15 1.36023-26 1.00000+17 2.03320-30 1 4000 7 0 9.012200+0 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.77000-12 1.000000+2 1.77000-10 1.000000+3 1.770000-8 1.000000+4 1.770000-6 1.000000+5 1.770000-4 5.000000+5 4.425000-3 7.500000+5 9.956250-3 9.375000+5 1.555664-2 1.000000+6 1.770000-2 1.500000+6 3.967900-2 1.875000+6 6.182660-2 2.000000+6 7.020000-2 2.500000+6 1.083400-1 3.000000+6 1.544000-1 3.500000+6 2.070510-1 3.750000+6 2.356080-1 4.000000+6 2.656000-1 4.500000+6 3.295820-1 4.750000+6 3.633160-1 5.000000+6 3.981000-1 5.500000+6 4.701000-1 5.875000+6 5.259310-1 6.156200+6 5.686840-1 6.625000+6 6.410470-1 6.718700+6 6.556350-1 7.000000+6 6.998000-1 7.500000+6 7.787380-1 7.875000+6 8.382330-1 8.250000+6 8.977560-1 8.625000+6 9.572290-1 9.000000+6 1.016500+0 9.750000+6 1.132960+0 1.000000+7 1.170600+0 1.062500+7 1.260370+0 1.125000+7 1.345080+0 1.144500+7 1.370570+0 1.218800+7 1.464520+0 1.250000+7 1.502800+0 1.359400+7 1.630740+0 1.375000+7 1.647980+0 1.453100+7 1.729540+0 1.500000+7 1.774200+0 1.609400+7 1.865190+0 1.750000+7 1.965700+0 1.937500+7 2.085460+0 2.000000+7 2.120700+0 2.125000+7 2.181980+0 2.218800+7 2.221780+0 2.312500+7 2.257610+0 2.500000+7 2.321500+0 2.750000+7 2.398230+0 3.000000+7 2.470500+0 3.750000+7 2.676570+0 4.000000+7 2.743700+0 4.437500+7 2.860470+0 4.812500+7 2.958140+0 5.000000+7 3.005300+0 5.250000+7 3.066500+0 5.625000+7 3.154550+0 6.000000+7 3.237400+0 6.437500+7 3.326310+0 6.812500+7 3.396240+0 7.000000+7 3.429100+0 7.437500+7 3.499400+0 8.000000+7 3.579400+0 8.500000+7 3.640260+0 8.875000+7 3.680640+0 9.000000+7 3.693100+0 1.000000+8 3.777100+0 1.125000+8 3.850820+0 1.140600+8 3.857870+0 1.179700+8 3.874630+0 1.214800+8 3.887970+0 1.250000+8 3.900000+0 1.281300+8 3.909050+0 1.308600+8 3.916780+0 1.356400+8 3.928330+0 1.437500+8 3.944060+0 1.500000+8 3.953800+0 1.562500+8 3.961720+0 1.835900+8 3.982520+0 1.875000+8 3.984510+0 1.945300+8 3.987080+0 2.000000+8 3.989000+0 2.117200+8 3.991590+0 2.253900+8 3.994410+0 2.438500+8 3.996380+0 2.500000+8 3.997000+0 2.750000+8 3.998050+0 2.937500+8 3.998770+0 3.000000+8 3.999000+0 3.250000+8 3.999310+0 3.500000+8 3.999600+0 3.875000+8 3.999830+0 4.000000+8 3.999900+0 4.437500+8 3.999950+0 5.000000+8 4.000000+0 5.750000+8 4.000000+0 6.000000+8 4.000000+0 7.000000+8 4.000000+0 8.000000+8 4.000000+0 1.000000+9 4.000000+0 1.375000+9 4.000000+0 1.500000+9 4.000000+0 2.000000+9 4.000000+0 5.000000+9 4.000000+0 8.000000+9 4.000000+0 1.00000+10 4.000000+0 1.41360+10 4.000000+0 1.85560+10 4.000000+0 2.40710+10 4.000000+0 3.11120+10 4.000000+0 3.94540+10 4.000000+0 4.70230+10 4.000000+0 5.67350+10 4.000000+0 6.75510+10 4.000000+0 8.17480+10 4.000000+0 9.39160+10 4.000000+0 1.00000+11 4.000000+0 1.17140+11 4.000000+0 1.36540+11 4.000000+0 1.70670+11 4.000000+0 2.04860+11 4.000000+0 2.52170+11 4.000000+0 3.35790+11 4.000000+0 4.68190+11 4.000000+0 6.33390+11 4.000000+0 8.34870+11 4.000000+0 1.31660+12 4.000000+0 1.95920+12 4.000000+0 3.59790+12 4.000000+0 8.26120+12 4.000000+0 2.87420+13 4.000000+0 1.00000+14 4.000000+0 5.62340+14 4.000000+0 5.42470+15 4.000000+0 1.00000+17 4.000000+0 1 4000 7 0 9.012200+0 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.022446-6 0.0 3.489647-6 0.0 3.490506-6 1.279243-1 3.506825-6 7.360732+0 3.507689-6 7.823796+0 3.516280-6 1.422633+1 3.524871-6 2.388680+1 3.534241-6 3.849502+1 3.558953-6 8.486226+1 3.568739-6 9.680225+1 3.577093-6 9.998262+1 3.585922-6 9.519313+1 3.595147-6 8.267772+1 3.618487-6 3.849835+1 3.627969-6 2.379749+1 3.636560-6 1.415829+1 3.645151-6 7.776682+0 3.657588-6 2.081636+0 3.661433-6 2.815762-1 3.662334-6 0.0 5.516889-6 0.0 5.530468-6 1.64111-15 5.544047-6 3.24730-15 5.557626-6 5.93147-15 5.571205-6 1.00013-14 5.584784-6 1.55669-14 5.598364-6 2.23667-14 5.611943-6 2.96659-14 5.625522-6 3.63217-14 5.639101-6 4.10514-14 5.652680-6 4.28296-14 5.666259-6 4.12491-14 5.679838-6 3.66724-14 5.693417-6 3.00966-14 5.720576-6 1.59454-14 5.734155-6 1.02938-14 5.747734-6 6.13436-15 5.761313-6 3.37456-15 5.774892-6 1.71364-15 5.788471-6 0.0 6.188137-6 0.0 6.188361-6 2.893434-5 6.218825-6 1.161470-2 6.234057-6 2.120061-2 6.249289-6 3.572435-2 6.264521-6 5.557178-2 6.279753-6 7.980256-2 6.294984-6 1.057914-1 6.310216-6 1.294655-1 6.325448-6 1.462602-1 6.340680-6 1.525338-1 6.355912-6 1.468495-1 6.371144-6 1.305103-1 6.386376-6 1.070734-1 6.416839-6 5.669533-2 6.432071-6 3.659101-2 6.447303-6 2.180035-2 6.462535-6 1.198986-2 6.477767-6 6.072485-3 6.492763-6 6.275462-5 6.492999-6 0.0 6.505671-6 0.0 6.521684-6 7.538941-6 6.537697-6 1.491749-5 6.553710-6 2.724801-5 6.569723-6 4.594388-5 6.585736-6 7.151128-5 6.601748-6 1.027484-4 6.617761-6 1.362793-4 6.633774-6 1.668546-4 6.649787-6 1.885822-4 6.665800-6 1.967510-4 6.681813-6 1.894904-4 6.697826-6 1.684657-4 6.713839-6 1.382578-4 6.745864-6 7.325004-5 6.761877-6 4.728767-5 6.777890-6 2.818007-5 6.793903-6 1.550209-5 6.809916-6 7.872132-6 6.825929-6 0.0 7.024842-6 0.0 7.024901-6 1.159200-5 7.042192-6 1.026656-2 7.059483-6 2.031123-2 7.076774-6 3.709428-2 7.094065-6 6.253692-2 7.111355-6 9.732504-2 7.163228-6 2.270074-1 7.180519-6 2.565450-1 7.197810-6 2.676369-1 7.215101-6 2.577449-1 7.232392-6 2.291395-1 7.284265-6 9.966195-2 7.301555-6 6.436700-2 7.318846-6 3.839158-2 7.336137-6 2.115449-2 7.363991-6 4.228944-3 7.370658-6 8.969160-5 7.370719-6 6.426915-5 7.388667-6 5.111360-5 7.388706-6 5.589242-5 7.425079-6 1.332324-2 7.443265-6 2.430333-2 7.461452-6 4.095770-2 7.479638-6 6.373580-2 7.534197-6 1.486688-1 7.552384-6 1.680176-1 7.570570-6 1.752853-1 7.588756-6 1.710291-1 7.606943-6 1.563782-1 7.643315-6 1.133316-1 7.661502-6 9.716126-2 7.679688-6 8.931815-2 7.690901-6 8.941249-2 7.697875-6 9.093553-2 7.716061-6 1.000864-1 7.734247-6 1.115819-1 7.752434-6 1.191646-1 7.766520-6 1.277310-1 7.785450-6 1.343336-1 7.877996-6 1.332485-1 8.025478-6 1.469789-1 8.101609-6 1.508761-1 8.205129-6 1.583877-1 8.550000-6 1.881549-1 9.600000-6 2.610068-1 1.060000-5 3.159531-1 1.180000-5 3.655706-1 1.350000-5 4.123886-1 1.610000-5 4.495373-1 1.923538-5 4.635332-1 2.510088-5 4.536458-1 5.913646-5 2.917921-1 7.448249-5 2.339211-1 9.194566-5 1.842967-1 1.102853-4 1.470344-1 1.110262-4 1.457833-1 1.115728-4 9.879970-1 1.118461-4 1.684457+0 1.121364-4 2.830769+0 1.124268-4 4.405461+0 1.132295-4 9.649304+0 1.135300-4 1.087673+1 1.137972-4 1.122482+1 1.140874-4 1.072815+1 1.143780-4 9.444187+0 1.149253-4 6.291570+0 1.151972-4 4.993941+0 1.154248-4 4.198966+0 1.157073-4 3.702166+0 1.160209-4 3.605800+0 1.165147-4 3.747445+0 1.168993-4 4.186809+0 1.172134-4 4.372592+0 1.176994-4 4.423732+0 1.192691-4 4.178563+0 1.266421-4 3.704919+0 1.358399-4 3.410724+0 1.952024-4 2.245702+0 2.213984-4 1.856024+0 2.515504-4 1.525724+0 2.882735-4 1.226203+0 3.321341-4 9.689194-1 3.692153-4 8.100031-1 4.126167-4 6.693187-1 4.610521-4 5.507933-1 5.189939-4 4.453251-1 5.818742-4 3.615956-1 6.552488-4 2.902294-1 7.164110-4 2.454032-1 7.931859-4 2.022197-1 8.716923-4 1.687115-1 9.729090-4 1.363011-1 1.095862-3 1.079656-1 1.217204-3 8.758493-2 1.361747-3 6.996259-2 1.522903-3 5.574194-2 1.700172-3 4.451054-2 1.889743-3 3.574066-2 2.115010-3 2.826522-2 2.326457-3 2.310714-2 2.575951-3 1.861372-2 2.845215-3 1.503213-2 3.176998-3 1.185893-2 3.522512-3 9.466189-3 3.880803-3 7.662791-3 4.283329-3 6.158637-3 4.709995-3 4.991658-3 5.128614-3 4.129014-3 5.666355-3 3.299540-3 6.156808-3 2.739068-3 6.717188-3 2.248971-3 7.274487-3 1.876105-3 8.034615-3 1.497128-3 8.840456-3 1.202275-3 9.669636-3 9.783695-4 1.072548-2 7.705125-4 1.183888-2 6.131502-4 1.293491-2 4.989690-4 1.414680-2 4.051263-4 1.539291-2 3.329210-4 1.676389-2 2.725666-4 1.851820-2 2.157469-4 2.011818-2 1.775937-4 2.188566-2 1.457243-4 2.423532-2 1.145703-4 2.633777-2 9.409976-5 2.909274-2 7.436324-5 3.168565-2 6.074995-5 3.427071-2 5.046669-5 3.712680-2 4.174666-5 4.060099-2 3.376234-5 4.432075-2 2.741247-5 4.836007-2 2.227830-5 5.255445-2 1.828486-5 5.805051-2 1.443760-5 6.322316-2 1.178603-5 6.838006-2 9.784480-6 7.402442-2 8.103937-6 8.009632-2 6.726952-6 8.724764-2 5.495078-6 9.498577-2 4.497450-6 1.046112-1 3.582147-6 1.159631-1 2.816442-6 1.280592-1 2.234056-6 1.410506-1 1.783943-6 1.530675-1 1.478306-6 1.688800-1 1.180116-6 1.870755-1 9.363054-7 2.036889-1 7.744230-7 2.258135-1 6.163736-7 2.496215-1 4.958337-7 2.712801-1 4.154299-7 2.997221-1 3.371984-7 3.273407-1 2.816435-7 3.611050-1 2.317930-7 4.005285-1 1.900869-7 4.415705-1 1.589011-7 4.954502-1 1.298940-7 5.457971-1 1.106350-7 5.984546-1 9.570736-8 6.635521-1 8.216760-8 7.563973-1 6.874636-8 8.691734-1 5.810619-8 1.022000+0 4.859832-8 1.228714+0 4.076172-8 1.477239+0 3.418880-8 1.776032+0 2.867578-8 2.135261+0 2.405174-8 2.567148+0 2.017334-8 3.086391+0 1.692034-8 3.710658+0 1.419190-8 4.461192+0 1.190342-8 5.363532+0 9.983966-9 6.448384+0 8.374028-9 7.752663+0 7.023696-9 9.320751+0 5.891109-9 9.760024+0 5.637738-9 1.000000+1 1.078268-8 1 4000 7 0 9.012200+0 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-3.886697+0 1.716991-6-3.599598+0 2.156219-6-3.234517+0 2.455307-6-2.803121+0 2.661428-6-2.331158+0 2.782998-6-1.933369+0 2.886723-6-1.479997+0 2.958629-6-1.074315+0 2.991299-6-8.564005-1 3.022446-6-6.242671-1 3.051646-6-3.811544-1 3.079021-6-1.268621-1 3.104685-6 1.387688-1 3.128745-6 4.160023-1 3.151301-6 7.049901-1 3.172448-6 1.005851+0 3.192273-6 1.318670+0 3.210859-6 1.643491+0 3.244618-6 2.329107+0 3.274290-6 3.062172+0 3.300368-6 3.841364+0 3.333686-6 5.091658+0 3.361139-6 6.429652+0 3.383760-6 7.840098+0 3.407851-6 9.800247+0 3.430411-6 1.230440+1 3.449963-6 1.534660+1 3.466385-6 1.900632+1 3.477959-6 2.270899+1 3.484716-6 2.570510+1 3.489647-6 2.887182+1 3.493811-6 3.215581+1 3.507689-6 4.076929+1 3.517354-6 4.778616+1 3.527825-6 5.394538+1 3.535748-6 5.598677+1 3.543145-6 5.389379+1 3.549442-6 4.924686+1 3.555539-6 4.191123+1 3.558361-6 3.687413+1 3.565956-6 2.162650+1 3.567653-6 1.738847+1 3.568739-6 1.425745+1 3.574057-6 1.498479+0 3.574611-6 1.136865-1 3.575035-6-9.761337-1 3.575710-6-2.791681+0 3.576134-6-4.021836+0 3.576414-6-3.091764+0 3.576578-6-2.505448+0 3.576967-6-1.333870+0 3.577093-6-9.768579-1 3.585410-6 1.984084+1 3.587722-6 2.526878+1 3.596028-6 4.160638+1 3.603213-6 5.106527+1 3.610812-6 5.677121+1 3.617407-6 5.820289+1 3.627376-6 5.499310+1 3.648105-6 4.065590+1 3.660472-6 3.316788+1 3.665955-6 2.885491+1 3.674977-6 2.466001+1 3.685748-6 2.119902+1 3.700012-6 1.790007+1 3.717700-6 1.495713+1 3.738702-6 1.242915+1 3.766323-6 1.004747+1 3.800274-6 7.984558+0 3.840194-6 6.272873+0 3.879185-6 5.052686+0 3.917270-6 4.137961+0 3.966771-6 3.221545+0 4.014834-6 2.533166+0 4.061407-6 1.998116+0 4.106535-6 1.570407+0 4.150264-6 1.220796+0 4.213658-6 7.999305-1 4.254384-6 5.714120-1 4.293837-6 3.749602-1 4.332057-6 2.043460-1 4.369083-6 5.485566-2 4.404952-6-7.714375-2 4.439700-6-1.944975-1 4.473362-6-2.994658-1 4.538583-6-4.818384-1 4.599727-6-6.316084-1 4.710789-6-8.622160-1 4.855635-6-1.103104+0 5.073901-6-1.379340+0 5.392298-6-1.665130+0 5.788471-6-1.913892+0 6.218825-6-2.161753+0 6.294984-6-2.202989+0 6.401607-6-2.070187+0 6.697826-6-2.246996+0 7.024901-6-2.420526+0 7.128646-6-2.521766+0 7.180519-6-2.440658+0 7.250020-6-2.266024+0 7.301555-6-2.275560+0 7.493394-6-2.521532+0 7.643315-6-2.419681+0 7.766520-6-2.494339+0 9.885531-6-2.608328+0 1.610000-5-2.515364+0 2.810283-5-2.323673+0 4.168694-5-2.266668+0 5.913646-5-2.348559+0 7.448249-5-2.571996+0 8.653415-5-2.914619+0 9.425620-5-3.296001+0 1.003521-4-3.806138+0 1.044170-4-4.397794+0 1.064222-4-4.861313+0 1.084668-4-4.483933+0 1.096839-4-3.991415+0 1.103779-4-3.472127+0 1.107412-4-3.036130+0 1.109811-4-2.591512+0 1.110753-4-2.307490+0 1.115386-4-1.340895+0 1.118461-4-5.656848-1 1.118631-4-5.099687-1 1.119272-4-3.550186-1 1.120713-4-6.701248-2 1.120953-4-1.547992-2 1.121193-4 4.894613-2 1.121364-4 9.626271-2 1.121684-4 1.596371-1 1.122245-4 2.428065-1 1.124268-4 4.565033-1 1.124866-4 4.683919-1 1.125314-4 4.551813-1 1.125986-4 4.076784-1 1.126659-4 3.346951-1 1.127143-4 2.638210-1 1.127567-4 1.838322-1 1.128309-4 9.635605-3 1.128865-4-1.495294-1 1.129282-4-2.857016-1 1.129908-4-5.195543-1 1.130220-4-6.520129-1 1.130931-4-1.000860+0 1.131677-4-1.411918+0 1.132124-4-1.714397+0 1.134317-4-3.234508+0 1.135586-4-4.339237+0 1.137467-4-5.891628+0 1.138601-4-4.921727+0 1.140377-4-3.580736+0 1.140874-4-3.161866+0 1.141876-4-2.512011+0 1.143415-4-1.607279+0 1.144122-4-1.262877+0 1.145044-4-9.101012-1 1.145570-4-7.447820-1 1.146030-4-6.191179-1 1.146433-4-5.230059-1 1.147138-4-3.851192-1 1.147667-4-3.070946-1 1.148063-4-2.634126-1 1.148658-4-2.241528-1 1.148955-4-2.187290-1 1.149253-4-2.303473-1 1.150450-4-2.963944-1 1.151049-4-3.557815-1 1.151349-4-3.998942-1 1.151972-4-5.427458-1 1.153106-4-7.506940-1 1.153956-4-9.403950-1 1.154248-4-1.034798+0 1.157405-4-1.880736+0 1.160209-4-2.470636+0 1.162433-4-2.791676+0 1.164918-4-3.087679+0 1.166904-4-3.290209+0 1.168593-4-3.307367+0 1.172942-4-3.148480+0 1.181237-4-2.838554+0 1.192691-4-2.616656+0 1.198743-4-2.586412+0 1.245186-4-2.174226+0 1.305786-4-1.798855+0 1.404239-4-1.341948+0 1.515603-4-9.271131-1 1.613243-4-6.306516-1 1.679135-4-4.615666-1 1.748458-4-3.140345-1 1.793242-4-2.344087-1 1.821289-4-1.887983-1 1.877455-4-1.057855-1 1.896177-4-8.187263-2 1.931564-4-4.198174-2 1.952024-4-2.139414-2 1.985887-4 1.471071-2 2.041738-4 6.548870-2 2.092305-4 1.039313-1 2.157691-4 1.464621-1 2.213984-4 1.780400-1 2.278405-4 2.089869-1 2.394611-4 2.531013-1 2.573172-4 3.033867-1 2.802206-4 3.430905-1 3.024267-4 3.611753-1 3.415666-4 3.678070-1 4.250284-4 3.398673-1 6.126288-4 2.511159-1 7.646744-4 1.964786-1 9.225714-4 1.555751-1 1.095862-3 1.236750-1 1.271672-3 1.003957-1 1.452437-3 8.277533-2 1.647113-3 6.854473-2 1.889743-3 5.544623-2 2.164081-3 4.468968-2 2.448536-3 3.648905-2 2.786121-3 2.940588-2 3.176998-3 2.348962-2 3.600720-3 1.886627-2 4.073803-3 1.513859-2 4.558253-3 1.232160-2 5.128614-3 9.887478-3 5.791899-3 7.822853-3 6.524259-3 6.175692-3 7.274487-3 4.936868-3 8.034615-3 3.992421-3 8.840456-3 3.226407-3 9.879475-3 2.484093-3 1.096263-2 1.909051-3 1.206539-2 1.466659-3 1.330525-2 1.077365-3 1.446847-2 7.862515-4 1.539291-2 5.998829-4 1.640589-2 4.310503-4 1.743427-2 2.889308-4 1.812422-2 2.066829-4 1.888723-2 1.261193-4 1.933441-2 8.326911-5 1.974831-2 4.617773-5 2.011818-2 1.495049-5 2.060301-2-2.346340-5 2.087802-2-4.407292-5 2.136816-2-7.885563-5 2.228319-2-1.376906-4 2.374753-2-2.182134-4 2.517793-2-2.836415-4 2.742000-2-3.663612-4 3.031106-2-4.471340-4 3.427071-2-5.263526-4 4.060099-2-6.081370-4 5.022115-2-6.784370-4 6.838006-2-7.394827-4 1.089569-1-7.828086-4 2.712801-1-8.064317-4 8.293732-1-8.104880-4 2.567148+0-8.109233-4 7.752663+0-8.109684-4 1.000000+1-8.109641-4 1 5000 7 0 1.081100+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 7.711690-4 1.060347-6 9.829310-4 1.199234-6 1.645778-3 1.356312-6 2.785772-3 1.533965-6 4.776139-3 1.682315-6 7.238060-3 1.789103-6 9.600002-3 1.898026-6 1.265686-2 2.000247-6 1.627180-2 2.141909-6 2.269347-2 2.230510-6 2.779960-2 2.313573-6 3.351958-2 2.391446-6 3.988091-2 2.464451-6 4.688765-2 2.532893-6 5.454819-2 2.597057-6 6.286803-2 2.657212-6 7.187191-2 2.721439-6 8.297339-2 2.766476-6 9.179644-2 2.816042-6 1.027719-1 2.862510-6 1.144067-1 2.906073-6 1.267145-1 2.946914-6 1.396987-1 2.985336-6 1.534624-1 3.031982-6 1.724353-1 3.054750-6 1.827499-1 3.086298-6 1.985526-1 3.127472-6 2.221158-1 3.169598-6 2.502349-1 3.193969-6 2.689623-1 3.225969-6 2.970127-1 3.258316-6 3.301598-1 3.277142-6 3.523078-1 3.299855-6 3.825683-1 3.326849-6 4.247256-1 3.355934-6 4.800309-1 3.381383-6 5.401256-1 3.403651-6 6.054607-1 3.423135-6 6.764441-1 3.442041-6 7.630217-1 3.455102-6 8.374083-1 3.468155-6 9.290172-1 3.479577-6 1.029635+0 3.489869-6 1.144325+0 3.498315-6 1.262770+0 3.505966-6 1.396120+0 3.512661-6 1.539412+0 3.518520-6 1.690369+0 3.523646-6 1.846035+0 3.528131-6 2.003207+0 3.533379-6 2.215448+0 3.538923-6 2.476938+0 3.544074-6 2.758076+0 3.556267-6 3.586996+0 3.563362-6 4.181324+0 3.577049-6 5.547254+0 3.580904-6 5.974666+0 3.585811-6 6.536641+0 3.589675-6 6.987547+0 3.594572-6 7.560485+0 3.598445-6 8.007147+0 3.603333-6 8.551332+0 3.606299-6 8.865332+0 3.610538-6 9.285169+0 3.613262-6 9.533170+0 3.617691-6 9.892413+0 3.622063-6 1.018549+1 3.626315-6 1.040376+1 3.630713-6 1.055333+1 3.635504-6 1.062210+1 3.639713-6 1.059834+1 3.644355-6 1.048003+1 3.648558-6 1.029109+1 3.652739-6 1.002951+1 3.656778-6 9.711868+0 3.658159-6 9.589681+0 3.665253-6 8.866546+0 3.668637-6 8.473618+0 3.672361-6 8.013739+0 3.675499-6 7.608693+0 3.678230-6 7.246820+0 3.682428-6 6.680111+0 3.686155-6 6.173101+0 3.690048-6 5.646808+0 3.695327-6 4.950186+0 3.699160-6 4.463897+0 3.703695-6 3.916696+0 3.708469-6 3.379255+0 3.712465-6 2.963444+0 3.717231-6 2.510619+0 3.721236-6 2.167060+0 3.722926-6 2.032302+0 3.728839-6 1.607248+0 3.733275-6 1.334279+0 3.736137-6 1.177827+0 3.739415-6 1.016472+0 3.743228-6 8.512748-1 3.747019-6 7.091186-1 3.750788-6 5.876124-1 3.753288-6 5.169320-1 3.755781-6 4.536797-1 3.758264-6 3.972953-1 3.760738-6 3.471760-1 3.763201-6 3.027518-1 3.765655-6 2.634871-1 3.769318-6 2.131937-1 3.772956-6 1.718697-1 3.777774-6 1.283371-1 3.783744-6 8.870094-2 3.790828-6 5.719933-2 3.794341-6 4.631854-2 3.796674-6 4.047450-2 3.798997-6 3.560105-2 3.801311-6 3.157638-2 3.803617-6 2.829339-2 3.805913-6 2.565817-2 3.808200-6 2.358865-2 3.810479-6 2.201330-2 3.815018-6 2.010211-2 3.819521-6 1.952676-2 3.823989-6 1.998305-2 3.828423-6 2.124469-2 3.832822-6 2.314344-2 3.837186-6 2.555378-2 3.850110-6 3.504297-2 3.858568-6 4.269631-2 3.866895-6 5.106962-2 3.875091-6 5.997180-2 3.883160-6 6.926303-2 3.891102-6 7.884093-2 3.906739-6 9.874924-2 3.921886-6 1.192107-1 3.936561-6 1.400939-1 3.950777-6 1.613181-1 4.207942-6 6.070139-1 4.395754-6 1.101807+0 4.435159-6 1.239952+0 4.500020-6 1.517929+0 4.554071-6 1.802870+0 4.590507-6 2.029899+0 4.612146-6 2.181000+0 4.643495-6 2.425141+0 4.662160-6 2.586756+0 4.698186-6 2.939831+0 4.724978-6 3.244846+0 4.762012-6 3.742889+0 4.794416-6 4.273973+0 4.822770-6 4.838083+0 4.847580-6 5.435296+0 4.871395-6 6.134421+0 4.888284-6 6.733846+0 4.904904-6 7.441799+0 4.919447-6 8.195125+0 4.932172-6 8.996872+0 4.943307-6 9.845667+0 4.953049-6 1.073440+1 4.961574-6 1.165077+1 4.969034-6 1.257912+1 4.975560-6 1.350277+1 4.986982-6 1.540611+1 4.995549-6 1.710305+1 5.010406-6 2.065328+1 5.028176-6 2.593285+1 5.037453-6 2.908513+1 5.045976-6 3.215505+1 5.049821-6 3.357468+1 5.058336-6 3.674363+1 5.062190-6 3.816795+1 5.072240-6 4.175487+1 5.074943-6 4.266911+1 5.083054-6 4.521852+1 5.088637-6 4.676046+1 5.095299-6 4.831599+1 5.101900-6 4.950017+1 5.106458-6 5.008497+1 5.112440-6 5.053937+1 5.118689-6 5.061308+1 5.121677-6 5.049906+1 5.127084-6 5.004432+1 5.132491-6 4.927165+1 5.134712-6 4.886395+1 5.139781-6 4.774273+1 5.145236-6 4.625444+1 5.149843-6 4.478773+1 5.155368-6 4.280189+1 5.161071-6 4.052788+1 5.164689-6 3.898677+1 5.170041-6 3.659600+1 5.175464-6 3.407330+1 5.181047-6 3.141489+1 5.185648-6 2.920762+1 5.191250-6 2.653650+1 5.196332-6 2.415933+1 5.200723-6 2.216151+1 5.206334-6 1.971025+1 5.213019-6 1.697084+1 5.218689-6 1.482578+1 5.224571-6 1.279092+1 5.231102-6 1.076961+1 5.236859-6 9.199073+0 5.245452-6 7.217533+0 5.255067-6 5.488390+0 5.261132-6 4.640115+0 5.266129-6 4.068880+0 5.269163-6 3.774000+0 5.273041-6 3.450258+0 5.276055-6 3.237108+0 5.277494-6 3.146590+0 5.279652-6 3.023768+0 5.281810-6 2.915844+0 5.286184-6 2.739876+0 5.288372-6 2.671968+0 5.290559-6 2.616536+0 5.296898-6 2.520471+0 5.300068-6 2.505119+0 5.303238-6 2.509330+0 5.319875-6 2.797344+0 5.330574-6 3.167979+0 5.335924-6 3.395964+0 5.357939-6 4.576700+0 5.370627-6 5.408875+0 5.383316-6 6.339808+0 5.396004-6 7.365282+0 5.408692-6 8.484247+0 5.441209-6 1.180168+1 5.469662-6 1.533556+1 5.535402-6 2.720159+1 5.552081-6 3.155319+1 5.566674-6 3.606192+1 5.579444-6 4.068838+1 5.590617-6 4.538554+1 5.600393-6 5.010142+1 5.608948-6 5.478252+1 5.623918-6 6.451264+1 5.635146-6 7.342122+1 5.643567-6 8.124230+1 5.650039-6 8.804798+1 5.659356-6 9.927985+1 5.668829-6 1.127869+2 5.672665-6 1.189589+2 5.681153-6 1.343042+2 5.689641-6 1.523532+2 5.700590-6 1.805084+2 5.710688-6 2.124427+2 5.717580-6 2.381830+2 5.724641-6 2.684069+2 5.737014-6 3.323229+2 5.769677-6 5.877146+2 5.783060-6 7.367435+2 5.787723-6 7.953158+2 5.798381-6 9.420212+2 5.801934-6 9.947617+2 5.816145-6 1.222943+3 5.817921-6 1.253171+3 5.830355-6 1.472489+3 5.835240-6 1.561147+3 5.845837-6 1.754284+3 5.852769-6 1.878483+3 5.860375-6 2.009714+3 5.866198-6 2.104792+3 5.870656-6 2.173470+3 5.877028-6 2.264117+3 5.884068-6 2.352179+3 5.893567-6 2.447368+3 5.900789-6 2.499216+3 5.905198-6 2.521473+3 5.912717-6 2.542269+3 5.918605-6 2.543149+3 5.925534-6 2.526843+3 5.932749-6 2.490395+3 5.936631-6 2.462890+3 5.944708-6 2.389090+3 5.950942-6 2.318082+3 5.955269-6 2.262374+3 5.962630-6 2.157073+3 5.968265-6 2.068860+3 5.974593-6 1.963604+3 5.979878-6 1.871873+3 5.986674-6 1.750528+3 5.993779-6 1.621601+3 6.000885-6 1.492718+3 6.012939-6 1.279566+3 6.017647-6 1.199619+3 6.025301-6 1.075015+3 6.029306-6 1.012820+3 6.053703-6 6.860375+2 6.066462-6 5.526824+2 6.086397-6 3.927820+2 6.098654-6 3.199362+2 6.102740-6 2.993276+2 6.110123-6 2.661922+2 6.117507-6 2.377895+2 6.125954-6 2.102992+2 6.134401-6 1.873240+2 6.150770-6 1.528381+2 6.180975-6 1.117561+2 6.193205-6 1.001425+2 6.207296-6 8.899120+1 6.220873-6 7.996354+1 6.233900-6 7.256061+1 6.248248-6 6.559372+1 6.256856-6 6.193231+1 6.266710-6 5.816380+1 6.276700-6 5.475644+1 6.286690-6 5.171709+1 6.306817-6 4.652543+1 6.367431-6 3.568426+1 6.383432-6 3.353876+1 6.408523-6 3.056653+1 6.432492-6 2.811033+1 6.456288-6 2.599108+1 6.473537-6 2.462772+1 6.499929-6 2.278076+1 6.536625-6 2.060199+1 6.576342-6 1.863269+1 6.618367-6 1.688408+1 6.662384-6 1.535066+1 6.708205-6 1.402104+1 6.752003-6 1.295606+1 6.774921-6 1.246555+1 6.824383-6 1.153577+1 6.863580-6 1.090104+1 6.902166-6 1.034566+1 6.944193-6 9.805639+0 7.014342-6 9.031015+0 7.050572-6 8.683954+0 7.121900-6 8.085691+0 7.199537-6 7.536698+0 7.264321-6 7.143290+0 7.329703-6 6.795971+0 7.386667-6 6.528671+0 7.475948-6 6.165170+0 7.534709-6 5.956379+0 7.630204-6 5.657851+0 7.747559-6 5.347826+0 7.847079-6 5.123984+0 8.009485-6 4.815861+0 8.205138-6 4.520373+0 8.377768-6 4.309249+0 8.511876-6 4.171327+0 8.711381-6 3.992507+0 9.083669-6 3.719774+0 9.749163-6 3.316071+0 9.888151-6 3.213857+0 1.000785-5 3.095219+0 1.004714-5 3.044489+0 1.013554-5 2.918806+0 1.016539-5 2.887530+0 1.017790-5 2.879530+0 1.021543-5 2.883806+0 1.024045-5 2.918213+0 1.026548-5 2.983922+0 1.028063-5 3.040063+0 1.030301-5 3.145300+0 1.032803-5 3.291014+0 1.039058-5 3.723245+0 1.041560-5 3.887907+0 1.044062-5 4.026790+0 1.046564-5 4.129145+0 1.047190-5 4.148188+0 1.049066-5 4.188780+0 1.050317-5 4.202057+0 1.051568-5 4.204662+0 1.052819-5 4.197207+0 1.055321-5 4.155664+0 1.056572-5 4.123743+0 1.059075-5 4.043635+0 1.061577-5 3.949926+0 1.068193-5 3.695986+0 1.071015-5 3.602012+0 1.075247-5 3.484961+0 1.084120-5 3.316196+0 1.108707-5 3.013065+0 1.119335-5 2.880808+0 1.120383-5 2.870487+0 1.125899-5 2.840342+0 1.128656-5 2.847188+0 1.131414-5 2.873077+0 1.134172-5 2.919509+0 1.136929-5 2.985620+0 1.141066-5 3.112977+0 1.145202-5 3.252866+0 1.147960-5 3.338248+0 1.150848-5 3.409878+0 1.153475-5 3.452943+0 1.156233-5 3.472001+0 1.158991-5 3.464228+0 1.161748-5 3.432882+0 1.164506-5 3.383863+0 1.171258-5 3.236740+0 1.175537-5 3.160142+0 1.178412-5 3.126634+0 1.179843-5 3.116037+0 1.182705-5 3.106516+0 1.185566-5 3.110415+0 1.191290-5 3.142592+0 1.195583-5 3.171366+0 1.201989-5 3.199300+0 1.209892-5 3.205060+0 1.228146-5 3.201563+0 1.264252-5 3.206003+0 1.380684-5 3.307181+0 1.508993-5 3.448445+0 1.760708-5 3.740246+0 2.089296-5 4.100374+0 2.310734-5 4.312833+0 2.542802-5 4.505013+0 2.880000-5 4.739133+0 3.242818-5 4.944755+0 3.673484-5 5.140511+0 4.100625-5 5.286542+0 4.527922-5 5.401025+0 4.990281-5 5.492016+0 5.514219-5 5.557841+0 6.058849-5 5.591637+0 6.654647-5 5.592432+0 7.233484-5 5.562409+0 7.776448-5 5.511330+0 8.321783-5 5.439007+0 8.996270-5 5.315637+0 9.554742-5 5.190005+0 1.011786-4 5.037854+0 1.071519-4 4.856566+0 1.125956-4 4.663687+0 1.188332-4 4.418176+0 1.256682-4 4.108403+0 1.316135-4 3.801189+0 1.371474-4 3.478450+0 1.409063-4 3.237498+0 1.451167-4 2.940500+0 1.486373-4 2.670780+0 1.517878-4 2.410266+0 1.545992-4 2.162621+0 1.567699-4 1.960079+0 1.587084-4 1.769958+0 1.605257-4 1.584267+0 1.622294-4 1.404157+0 1.638267-4 1.230598+0 1.653241-4 1.064409+0 1.667461-4 9.042577-1 1.680441-4 7.573540-1 1.692779-4 6.188556-1 1.702654-4 5.105541-1 1.707073-4 4.634330-1 1.715501-4 3.775678-1 1.723410-4 3.051357-1 1.727151-4 2.752186-1 1.732546-4 2.388589-1 1.737692-4 2.133165-1 1.741981-4 1.998510-1 1.747627-4 1.936845-1 1.752077-4 1.981147-1 1.756322-4 2.097353-1 1.761099-4 2.311641-1 1.763007-4 2.421676-1 1.765540-4 2.589778-1 1.767993-4 2.777378-1 1.770371-4 2.983681-1 1.772673-4 3.208338-1 1.777065-4 3.713034-1 1.779159-4 3.993891-1 1.783152-4 4.616152-1 1.786899-4 5.325627-1 1.788686-4 5.715991-1 1.792146-4 6.589887-1 1.795391-4 7.582624-1 1.798433-4 8.709183-1 1.801285-4 9.986019-1 1.803958-4 1.143038+0 1.806465-4 1.305932+0 1.809415-4 1.541164+0 1.811017-4 1.693155+0 1.813083-4 1.919799+0 1.815019-4 2.169350+0 1.816834-4 2.441889+0 1.818535-4 2.737010+0 1.820683-4 3.173643+0 1.823029-4 3.746938+0 1.825658-4 4.533807+0 1.829971-4 6.239059+0 1.836834-4 1.038942+1 1.840504-4 1.355694+1 1.843811-4 1.710053+1 1.845846-4 1.963936+1 1.848639-4 2.359239+1 1.850908-4 2.721627+1 1.853178-4 3.120873+1 1.857717-4 4.023945+1 1.858284-4 4.145753+1 1.862256-4 5.042972+1 1.863816-4 5.411936+1 1.866795-4 6.129134+1 1.869100-4 6.684338+1 1.870217-4 6.949811+1 1.871906-4 7.342875+1 1.873639-4 7.731311+1 1.875314-4 8.087621+1 1.877008-4 8.423642+1 1.878976-4 8.777617+1 1.880696-4 9.049590+1 1.882823-4 9.331378+1 1.884839-4 9.536906+1 1.886174-4 9.637884+1 1.888236-4 9.736355+1 1.889951-4 9.763824+1 1.891180-4 9.752881+1 1.894520-4 9.596178+1 1.896573-4 9.411886+1 1.899333-4 9.068341+1 1.901334-4 8.758490+1 1.903525-4 8.370177+1 1.905203-4 8.043824+1 1.906574-4 7.762533+1 1.908374-4 7.377954+1 1.910688-4 6.866769+1 1.913261-4 6.290038+1 1.916136-4 5.653921+1 1.919217-4 5.002386+1 1.922982-4 4.274343+1 1.927897-4 3.469948+1 1.929648-4 3.227336+1 1.931399-4 3.008133+1 1.934260-4 2.699200+1 1.936154-4 2.526610+1 1.938032-4 2.378878+1 1.939844-4 2.256910+1 1.941707-4 2.150587+1 1.943678-4 2.057196+1 1.945488-4 1.986685+1 1.947666-4 1.918578+1 1.949643-4 1.870275+1 1.952214-4 1.823111+1 1.953987-4 1.798924+1 1.957866-4 1.763328+1 1.961970-4 1.742456+1 1.969206-4 1.723436+1 1.982893-4 1.690901+1 2.003060-4 1.634170+1 2.018750-4 1.602569+1 2.043614-4 1.571369+1 2.064063-4 1.556801+1 2.090000-4 1.550483+1 2.100838-4 1.551158+1 2.125700-4 1.558145+1 2.143107-4 1.566653+1 2.180769-4 1.591207+1 2.260847-4 1.656158+1 2.351515-4 1.733557+1 2.406840-4 1.776359+1 2.468117-4 1.817238+1 2.567149-4 1.866722+1 2.691535-4 1.908803+1 2.853648-4 1.943838+1 3.138475-4 1.978525+1 3.475261-4 2.000669+1 3.732773-4 2.004960+1 4.110795-4 1.993280+1 5.084861-4 1.933554+1 6.025596-4 1.873590+1 7.118527-4 1.803915+1 9.283021-4 1.657562+1 1.076778-3 1.567770+1 1.291818-3 1.449360+1 1.488297-3 1.348311+1 1.686371-3 1.252524+1 1.853940-3 1.175520+1 2.056236-3 1.089348+1 2.302007-3 9.952169+0 2.581773-3 9.009663+0 2.905091-3 8.072982+0 3.345203-3 7.024803+0 4.082239-3 5.719980+0 5.964069-3 3.852831+0 7.862427-3 2.895601+0 9.065699-3 2.485821+0 1.024605-2 2.165486+0 1.135591-2 1.915766+0 1.249461-2 1.698990+0 1.380561-2 1.488333+0 1.497022-2 1.329976+0 1.656874-2 1.148037+0 1.839262-2 9.804436-1 2.085187-2 8.049055-1 2.390674-2 6.442128-1 2.763146-2 5.052342-1 3.269616-2 3.779807-1 3.856285-2 2.823590-1 4.583058-2 2.066468-1 5.475979-2 1.487531-1 6.681992-2 1.022530-1 8.443681-2 6.528925-2 1.114575-1 3.802956-2 1.606074-1 1.851550-2 2.840971-1 5.959732-3 8.810489-1 6.215675-4 2.688134+0 6.679207-5 8.118035+0 7.323856-6 2.451607+1 8.030478-7 7.403736+1 8.805248-8 2.235892+2 9.654763-9 6.752287+2 1.058624-9 2.511886+3 7.64968-11 7.943282+3 7.64968-12 2.511886+4 7.64968-13 7.943282+4 7.64968-14 1.000000+5 4.82662-14 1 5000 7 7 1.081100+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 5000 7 0 1.081100+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.400500-7 1.258900-6 5.389400-7 1.584900-6 8.541600-7 1.995300-6 1.353700-6 2.511900-6 2.145500-6 3.162300-6 3.400400-6 3.981100-6 5.389300-6 5.011900-6 8.541400-6 6.309600-6 1.353700-5 7.943300-6 2.145500-5 1.000000-5 3.400300-5 1.258900-5 5.389100-5 1.584900-5 8.540900-5 1.995300-5 1.353600-4 2.511900-5 2.145300-4 3.162300-5 3.399900-4 3.981100-5 5.388300-4 5.011900-5 8.539300-4 6.309600-5 1.353300-3 7.943300-5 2.143200-3 1.000000-4 3.393600-3 1.258900-4 5.374000-3 1.584900-4 8.500400-3 1.995300-4 1.343900-2 2.511900-4 2.121000-2 3.162300-4 3.337300-2 3.981100-4 5.238700-2 5.011900-4 8.177700-2 6.309600-4 1.265300-1 7.943300-4 1.932300-1 1.000000-3 2.896100-1 1.258900-3 4.243300-1 1.584900-3 6.003900-1 1.995300-3 8.193000-1 2.511900-3 1.067800+0 3.162300-3 1.324600+0 3.981100-3 1.564600+0 5.011900-3 1.776400+0 6.309600-3 1.966800+0 7.943300-3 2.145000+0 1.000000-2 2.303200+0 1.258900-2 2.480500+0 1.584900-2 2.618400+0 1.995300-2 2.718600+0 2.511900-2 2.776400+0 3.162300-2 2.793300+0 3.981100-2 2.775200+0 5.011900-2 2.726500+0 6.309600-2 2.651800+0 7.943300-2 2.555400+0 1.000000-1 2.441000+0 1.258900-1 2.312300+0 1.584900-1 2.173100+0 1.995300-1 2.027300+0 2.511900-1 1.878500+0 3.162300-1 1.729700+0 3.981100-1 1.584100+0 5.011900-1 1.442700+0 6.309600-1 1.307000+0 7.943300-1 1.177700+0 1.000000+0 1.055200+0 1.258900+0 9.399500-1 1.584900+0 8.322400-1 1.995300+0 7.323100-1 2.511900+0 6.404100-1 3.162300+0 5.566700-1 3.981100+0 4.810600-1 5.011900+0 4.134300-1 6.309600+0 3.534700-1 7.943300+0 3.007700-1 1.000000+1 2.548000-1 1.258900+1 2.149900-1 1.584900+1 1.807400-1 1.995300+1 1.514400-1 2.511900+1 1.265200-1 3.162300+1 1.054100-1 3.981100+1 8.760700-2 5.011900+1 7.265200-2 6.309600+1 6.012900-2 7.943300+1 4.967400-2 1.000000+2 4.097000-2 1.258900+2 3.373900-2 1.584900+2 2.774600-2 1.995300+2 2.278900-2 2.511900+2 1.869500-2 3.162300+2 1.532000-2 3.981100+2 1.254200-2 5.011900+2 1.025800-2 6.309600+2 8.382600-3 7.943300+2 6.844500-3 1.000000+3 5.584300-3 1.258900+3 4.552800-3 1.584900+3 3.709300-3 1.995300+3 3.020200-3 2.511900+3 2.457600-3 3.162300+3 1.998600-3 3.981100+3 1.624400-3 5.011900+3 1.319700-3 6.309600+3 1.071500-3 7.943300+3 8.696100-4 1.000000+4 7.054400-4 1.258900+4 5.720000-4 1.584900+4 4.636200-4 1.995300+4 3.756200-4 2.511900+4 3.042000-4 3.162300+4 2.462700-4 3.981100+4 1.993000-4 5.011900+4 1.612400-4 6.309600+4 1.304000-4 7.943300+4 1.054200-4 1.000000+5 8.520600-5 1 5000 7 7 1.081100+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159547-4 3.981072-4 3.976749-4 5.011872-4 5.005036-4 6.309573-4 6.298749-4 7.943282-4 7.926257-4 1.000000-3 9.973219-4 1.258925-3 1.254722-3 1.584893-3 1.578319-3 1.995262-3 1.985048-3 2.511886-3 2.496085-3 3.162278-3 3.137978-3 3.981072-3 3.943859-3 5.011872-3 4.955008-3 6.309573-3 6.222379-3 7.943282-3 7.808648-3 1.000000-2 9.790122-3 1.258925-2 1.226434-2 1.584893-2 1.534604-2 1.995262-2 1.917824-2 2.511886-2 2.393332-2 3.162278-2 2.981432-2 3.981072-2 3.706355-2 5.011872-2 4.596182-2 6.309573-2 5.683839-2 7.943282-2 7.006519-2 1.000000-1 8.608492-2 1.258925-1 1.053960-1 1.584893-1 1.285799-1 1.995262-1 1.563062-1 2.511886-1 1.893449-1 3.162278-1 2.285790-1 3.981072-1 2.750157-1 5.011872-1 3.298452-1 6.309573-1 3.944413-1 7.943282-1 4.704590-1 1.000000+0 5.599104-1 1.258925+0 6.652683-1 1.584893+0 7.896098-1 1.995262+0 9.366790-1 2.511886+0 1.111193+0 3.162278+0 1.318880+0 3.981072+0 1.566763+0 5.011872+0 1.863509+0 6.309573+0 2.219651+0 7.943282+0 2.648117+0 1.000000+1 3.164674+0 1.258925+1 3.788676+0 1.584893+1 4.543790+0 1.995262+1 5.458927+0 2.511886+1 6.569649+0 3.162278+1 7.919583+0 3.981072+1 9.562022+0 5.011872+1 1.156277+1 6.309573+1 1.400238+1 7.943282+1 1.697996+1 1.000000+2 2.061732+1 1.258925+2 2.506457+1 1.584893+2 3.050618+1 1.995262+2 3.716939+1 2.511886+2 4.533447+1 3.162278+2 5.534686+1 3.981072+2 6.763146+1 5.011872+2 8.271474+1 6.309573+2 1.012442+2 7.943282+2 1.240202+2 1.000000+3 1.520295+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 5000 7 9 1.081100+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090662-8 7.943282-5 1.728179-8 1.000000-4 2.738519-8 1.258925-4 4.339841-8 1.584893-4 6.875324-8 1.995262-4 1.089254-7 2.511886-4 1.725199-7 3.162278-4 2.730759-7 3.981072-4 4.322964-7 5.011872-4 6.836482-7 6.309573-4 1.082467-6 7.943282-4 1.702514-6 1.000000-3 2.678084-6 1.258925-3 4.203241-6 1.584893-3 6.574201-6 1.995262-3 1.021439-5 2.511886-3 1.580158-5 3.162278-3 2.429989-5 3.981072-3 3.721268-5 5.011872-3 5.686472-5 6.309573-3 8.719413-5 7.943282-3 1.346342-4 1.000000-2 2.098775-4 1.258925-2 3.249102-4 1.584893-2 5.028872-4 1.995262-2 7.743791-4 2.511886-2 1.185540-3 3.162278-2 1.808458-3 3.981072-2 2.747171-3 5.011872-2 4.156906-3 6.309573-2 6.257344-3 7.943282-2 9.367633-3 1.000000-1 1.391508-2 1.258925-1 2.049659-2 1.584893-1 2.990942-2 1.995262-1 4.321998-2 2.511886-1 6.184375-2 3.162278-1 8.764872-2 3.981072-1 1.230915-1 5.011872-1 1.713421-1 6.309573-1 2.365160-1 7.943282-1 3.238692-1 1.000000+0 4.400896-1 1.258925+0 5.936571-1 1.584893+0 7.952834-1 1.995262+0 1.058583+0 2.511886+0 1.400693+0 3.162278+0 1.843397+0 3.981072+0 2.414309+0 5.011872+0 3.148364+0 6.309573+0 4.089922+0 7.943282+0 5.295166+0 1.000000+1 6.835326+0 1.258925+1 8.800578+0 1.584893+1 1.130514+1 1.995262+1 1.449370+1 2.511886+1 1.854922+1 3.162278+1 2.370319+1 3.981072+1 3.024869+1 5.011872+1 3.855596+1 6.309573+1 4.909336+1 7.943282+1 6.245286+1 1.000000+2 7.938268+1 1.258925+2 1.008280+2 1.584893+2 1.279831+2 1.995262+2 1.623568+2 2.511886+2 2.058542+2 3.162278+2 2.608809+2 3.981072+2 3.304757+2 5.011872+2 4.184725+2 6.309573+2 5.297132+2 7.943282+2 6.703081+2 1.000000+3 8.479705+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 5000 7 0 1.081100+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.660000-6 7.822204+6 6.670000-6 7.809442+6 6.670000-6 1.171854+7 7.079458-6 1.097595+7 7.200000-6 1.076230+7 7.700000-6 9.936259+6 7.762471-6 9.836215+6 8.413951-6 8.869825+6 8.511380-6 8.734363+6 9.225714-6 7.823775+6 9.440609-6 7.572856+6 1.023293-5 6.743894+6 1.035142-5 6.629609+6 1.135011-5 5.769995+6 1.150000-5 5.653594+6 1.258000-5 4.908039+6 1.258000-5 6.075051+6 1.270000-5 6.032485+6 1.273503-5 6.019873+6 1.288250-5 5.964372+6 1.305000-5 5.903862+6 1.335000-5 5.796771+6 1.365000-5 5.693360+6 1.396368-5 5.589161+6 1.412538-5 5.535444+6 1.428894-5 5.481520+6 1.440000-5 5.445586+6 1.485000-5 5.300203+6 1.531087-5 5.157721+6 1.570000-5 5.040923+6 1.584893-5 4.997223+6 1.590000-5 4.982332+6 1.650000-5 4.807221+6 1.717908-5 4.620530+6 1.730000-5 4.587567+6 1.737801-5 4.566029+6 1.800000-5 4.401905+6 1.883649-5 4.194201+6 1.905461-5 4.141531+6 1.980000-5 3.966997+6 2.089296-5 3.730451+6 2.213095-5 3.480526+6 2.264644-5 3.383089+6 2.350000-5 3.229887+6 2.454709-5 3.054348+6 2.511886-5 2.964262+6 2.660725-5 2.745853+6 2.691535-5 2.703579+6 2.884032-5 2.458024+6 2.900000-5 2.439519+6 3.126079-5 2.191826+6 3.150000-5 2.168329+6 3.400000-5 1.938116+6 3.427678-5 1.915356+6 3.715352-5 1.696006+6 4.027170-5 1.496803+6 4.073803-5 1.469547+6 4.400000-5 1.300129+6 4.466836-5 1.268438+6 4.786301-5 1.132700+6 4.954502-5 1.068676+6 5.011872-5 1.048190+6 5.188000-5 9.889892+5 5.559043-5 8.773731+5 5.623413-5 8.601240+5 5.688529-5 8.425459+5 6.095369-5 7.445565+5 6.382635-5 6.838858+5 6.531306-5 6.555081+5 6.606934-5 6.417499+5 7.161434-5 5.504316+5 7.328245-5 5.260736+5 7.585776-5 4.915858+5 7.852356-5 4.593764+5 8.413951-5 3.993958+5 8.609938-5 3.812370+5 8.709636-5 3.721987+5 9.549926-5 3.072585+5 1.000000-4 2.784513+5 1.071519-4 2.402630+5 1.096478-4 2.284560+5 1.148154-4 2.065687+5 1.216186-4 1.821547+5 1.273503-4 1.643386+5 1.348963-4 1.445278+5 1.380384-4 1.372971+5 1.548817-4 1.056485+5 1.757924-4 7.874736+4 1.956100-4 6.119396+4 1.956100-4 1.553190+6 1.974000-4 1.475133+6 1.990000-4 1.418672+6 2.000000-4 1.389971+6 2.010000-4 1.361995+6 2.030000-4 1.316553+6 2.041738-4 1.294552+6 2.050000-4 1.279355+6 2.080000-4 1.234073+6 2.120000-4 1.186281+6 2.300000-4 1.029668+6 2.317395-4 1.015012+6 2.380000-4 9.648224+5 2.454709-4 9.046101+5 2.511886-4 8.591448+5 2.540973-4 8.372754+5 2.630268-4 7.714123+5 2.691535-4 7.304075+5 2.786121-4 6.717291+5 2.851018-4 6.352337+5 2.951209-4 5.841736+5 3.054921-4 5.372176+5 3.235937-4 4.671933+5 3.273407-4 4.543134+5 3.311311-4 4.417885+5 3.427678-4 4.051946+5 3.600000-4 3.583728+5 3.672823-4 3.402673+5 3.801894-4 3.111402+5 4.000000-4 2.727722+5 4.073803-4 2.599443+5 4.216965-4 2.373337+5 4.315191-4 2.233533+5 4.731513-4 1.751968+5 4.897788-4 1.599475+5 5.308844-4 1.287294+5 5.559043-4 1.137084+5 5.821032-4 1.002212+5 6.025596-4 9.116203+4 6.382635-4 7.784642+4 6.760830-4 6.647595+4 6.839116-4 6.440949+4 7.000000-4 6.036454+4 7.161434-4 5.664494+4 7.498942-4 4.981268+4 7.673615-4 4.671207+4 7.852356-4 4.380447+4 8.128305-4 3.972301+4 8.222426-4 3.844778+4 8.413951-4 3.601881+4 9.120108-4 2.866381+4 9.500000-4 2.553049+4 9.660509-4 2.432714+4 1.071519-3 1.804759+4 1.122018-3 1.580347+4 1.216186-3 1.249144+4 1.258925-3 1.129379+4 1.288250-3 1.055935+4 1.333521-3 9.546324+3 1.479108-3 7.026029+3 1.513561-3 6.563023+3 1.621810-3 5.349170+3 1.640590-3 5.169913+3 1.757924-3 4.202717+3 2.041738-3 2.682354+3 2.137962-3 2.332313+3 2.213095-3 2.100099+3 2.238721-3 2.027916+3 2.511886-3 1.429390+3 2.691535-3 1.155977+3 2.722701-3 1.115791+3 2.786121-3 1.039520+3 3.126079-3 7.296004+2 3.331200-3 5.987522+2 3.349654-3 5.885529+2 3.427678-3 5.478588+2 3.845918-3 3.829006+2 3.981072-3 3.434718+2 4.120975-3 3.081034+2 4.168694-3 2.971368+2 4.786301-3 1.923439+2 4.897788-3 1.787637+2 5.000000-3 1.674000+2 5.188000-3 1.488515+2 6.025596-3 9.245806+1 6.095369-3 8.910136+1 6.237348-3 8.274914+1 6.382635-3 7.684696+1 7.673615-3 4.251418+1 7.852356-3 3.945553+1 8.128305-3 3.527336+1 1.000000-2 1.800866+1 1.083927-2 1.383369+1 1.303167-2 7.570519+0 1.318257-2 7.290476+0 1.380384-2 6.262951+0 1.548817-2 4.283855+0 1.737801-2 2.930163+0 1.798871-2 2.614516+0 2.398833-2 1.004767+0 2.540973-2 8.298019-1 2.951209-2 5.030974-1 3.548134-2 2.717555-1 3.672823-2 2.421109-1 3.981072-2 1.847272-1 4.027170-2 1.777247-1 5.069907-2 8.205052-2 5.188000-2 7.594773-2 6.382635-2 3.788045-2 6.531306-2 3.506295-2 7.079458-2 2.675257-2 7.328245-2 2.382424-2 7.673615-2 2.042138-2 7.852356-2 1.890681-2 9.120108-2 1.145732-2 9.225714-2 1.102426-2 1.011580-1 8.099924-3 1.059254-1 6.951419-3 1.083927-1 6.439762-3 1.109175-1 5.965947-3 1.230269-1 4.229833-3 1.273503-1 3.771709-3 1.303167-1 3.494199-3 1.364583-1 3.001968-3 1.412538-1 2.679007-3 1.445440-1 2.483246-3 1.603245-1 1.764923-3 1.621810-1 1.699215-3 1.640590-1 1.636686-3 1.659587-1 1.576460-3 1.798871-1 1.212726-3 1.840772-1 1.125160-3 1.905461-1 1.005520-3 1.995262-1 8.673077-4 2.041738-1 8.055400-4 2.213095-1 6.219946-4 2.264644-1 5.782940-4 2.290868-1 5.576082-4 2.317395-1 5.376628-4 2.483133-1 4.321858-4 2.540973-1 4.018436-4 2.570396-1 3.877215-4 2.660725-1 3.482637-4 2.884032-1 2.711671-4 2.917427-1 2.618244-4 2.985383-1 2.440932-4 3.126079-1 2.121804-4 3.235937-1 1.910147-4 3.349654-1 1.723154-4 3.427678-1 1.608890-4 3.548134-1 1.451543-4 3.589219-1 1.402592-4 3.715352-1 1.268277-4 3.890451-1 1.109150-4 3.981072-1 1.037238-4 4.027170-1 1.003881-4 4.120975-1 9.403503-5 4.265795-1 8.526128-5 4.365158-1 7.987178-5 4.410200-1 7.758008-5 4.518559-1 7.255412-5 4.695800-1 6.525486-5 4.731513-1 6.390648-5 4.841724-1 5.997724-5 4.954502-1 5.638615-5 5.069907-1 5.301467-5 5.188000-1 4.984478-5 5.308844-1 4.686442-5 5.432503-1 4.414067-5 5.495409-1 4.284066-5 5.623413-1 4.035441-5 5.821032-1 3.689293-5 5.956621-1 3.481341-5 6.095369-1 3.285400-5 6.309573-1 3.011973-5 6.382635-1 2.928572-5 6.456542-1 2.847481-5 6.606935-1 2.692216-5 6.839117-1 2.475048-5 6.998420-1 2.344830-5 7.161434-1 2.221653-5 7.413102-1 2.048913-5 7.585776-1 1.944646-5 7.943282-1 1.752078-5 8.035261-1 1.706992-5 8.222427-1 1.623038-5 8.413951-1 1.543362-5 8.511380-1 1.505003-5 8.810489-1 1.395552-5 8.912509-1 1.362067-5 9.015711-1 1.329385-5 9.549926-1 1.177619-5 9.660509-1 1.149412-5 1.000000+0 1.071627-5 1.011579+0 1.046919-5 1.035142+0 9.991974-6 1.083927+0 9.101811-6 1.148154+0 8.099785-6 1.174898+0 7.743248-6 1.318257+0 6.182611-6 1.348963+0 5.910859-6 1.396368+0 5.536701-6 1.479108+0 4.964987-6 1.496236+0 4.858197-6 1.500000+0 4.835200-6 1.513561+0 4.759489-6 1.548817+0 4.571138-6 1.584893+0 4.390790-6 1.603245+0 4.308758-6 1.640590+0 4.149258-6 1.698244+0 3.921670-6 1.717908+0 3.852638-6 1.778279+0 3.652739-6 1.862087+0 3.402794-6 1.905461+0 3.287387-6 2.162719+0 2.719162-6 2.187762+0 2.672742-6 2.213095+0 2.628835-6 2.454709+0 2.264748-6 2.483133+0 2.227614-6 2.511886+0 2.192488-6 2.818383+0 1.870293-6 2.851018+0 1.840852-6 2.884032+0 1.812871-6 3.311311+0 1.508496-6 3.349654+0 1.485606-6 3.388442+0 1.463847-6 3.890451+0 1.226320-6 3.935501+0 1.208389-6 3.981072+0 1.191326-6 4.623810+0 9.902408-7 4.677351+0 9.762795-7 4.731513+0 9.629355-7 5.688529+0 7.726218-7 5.754399+0 7.620764-7 5.821032+0 7.519712-7 7.079458+0 5.993036-7 7.161434+0 5.913672-7 7.244360+0 5.837430-7 9.015711+0 4.561915-7 9.120108+0 4.503173-7 9.225714+0 4.446594-7 1.202264+1 3.324550-7 1.216186+1 3.282824-7 1.230269+1 3.242519-7 1.659587+1 2.351770-7 1.678804+1 2.322922-7 1.717908+1 2.267261-7 2.317395+1 1.654129-7 2.344229+1 1.634474-7 3.507519+1 1.075657-7 3.548134+1 1.063076-7 6.683439+1 5.565939-8 6.760830+1 5.501489-8 1.333521+2 2.767261-8 1.348963+2 2.735382-8 2.660725+2 1.380812-8 2.691535+2 1.364981-8 2.113489+3 1.732726-9 2.137962+3 1.712889-9 4.216965+3 8.68331-10 1.000000+5 3.65999-11 1 5000 7 0 1.081100+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.660000-6 6.660000-6 1.258000-5 6.663333-6 1.258000-5 7.799920-6 1.365000-5 8.115573-6 1.485000-5 8.417862-6 1.650000-5 8.761516-6 1.800000-5 9.019756-6 1.980000-5 9.281026-6 2.264644-5 9.618195-6 2.511886-5 9.866031-6 2.900000-5 1.018931-5 3.427678-5 1.054470-5 4.027170-5 1.086013-5 4.466836-5 1.104352-5 5.188000-5 1.128077-5 6.095369-5 1.149216-5 7.328245-5 1.168263-5 8.709636-5 1.182396-5 1.096478-4 1.197367-5 1.380384-4 1.209231-5 1.956100-4 1.221743-5 1.956100-4 1.883845-4 2.050000-4 1.877576-4 2.630268-4 1.884286-4 1.513561-3 1.876023-4 1.380384-2 1.871673-4 1.000000+5 1.870839-4 1 5000 7 9 1.081100+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.660000-6 0.0 6.670000-6 1.000000-8 6.670000-6 6.664175-9 1.258000-5 5.916667-6 1.258000-5 4.780080-6 1.335000-5 5.317897-6 1.440000-5 6.090253-6 1.531087-5 6.789850-6 1.650000-5 7.738484-6 1.800000-5 8.980244-6 1.980000-5 1.051897-5 2.264644-5 1.302824-5 2.691535-5 1.689163-5 3.427678-5 2.373208-5 4.466836-5 3.362484-5 6.095369-5 4.946153-5 1.000000-4 8.808235-5 1.956100-4 1.833926-4 1.956100-4 7.225463-6 1.974000-4 9.235985-6 1.990000-4 1.098623-5 2.010000-4 1.311786-5 2.041738-4 1.639934-5 2.080000-4 2.025259-5 2.120000-4 2.420523-5 2.380000-4 4.967913-5 2.786121-4 9.019096-5 1.000000+5 1.000000+5 1 5000 7 0 1.081100+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.956100-4 1.491996+6 1.974000-4 1.415240+6 1.990000-4 1.359908+6 2.010000-4 1.304600+6 2.030000-4 1.260482+6 2.050000-4 1.224572+6 2.080000-4 1.181160+6 2.120000-4 1.135722+6 2.300000-4 9.880480+5 2.380000-4 9.264640+5 2.454709-4 8.689782+5 2.540973-4 8.044611+5 2.691535-4 7.018027+5 3.311311-4 4.244617+5 3.600000-4 3.442820+5 4.000000-4 2.619660+5 4.897788-4 1.535190+5 5.559043-4 1.090977+5 6.839116-4 6.174659+4 7.852356-4 4.196629+4 9.500000-4 2.444300+4 1.122018-3 1.512352+4 1.333521-3 9.131749+3 1.640590-3 4.943495+3 2.041738-3 2.564155+3 2.511886-3 1.365977+3 3.126079-3 6.969917+2 3.845918-3 3.656702+2 4.786301-3 1.836276+2 6.025596-3 8.824568+1 7.673615-3 4.056843+1 1.000000-2 1.718110+1 1.318257-2 6.954370+0 1.798871-2 2.493658+0 2.540973-2 7.913584-1 3.672823-2 2.308643-1 7.328245-2 2.271425-2 1.011580-1 7.722672-3 1.303167-1 3.331743-3 1.621810-1 1.620116-3 1.905461-1 9.586949-4 2.213095-1 5.930455-4 2.540973-1 3.831397-4 2.884032-1 2.585499-4 3.235937-1 1.821286-4 3.589219-1 1.337347-4 3.981072-1 9.889858-5 4.410200-1 7.397200-5 4.841724-1 5.718843-5 5.308844-1 4.468537-5 5.821032-1 3.517720-5 6.309573-1 2.871880-5 6.839117-1 2.359882-5 7.413102-1 1.953616-5 8.035261-1 1.627606-5 8.810489-1 1.330578-5 9.660509-1 1.095829-5 1.148154+0 7.722230-6 1.348963+0 5.635409-6 1.500000+0 4.609800-6 1.584893+0 4.186112-6 1.698244+0 3.738820-6 1.862087+0 3.244166-6 2.187762+0 2.548200-6 2.483133+0 2.123818-6 2.851018+0 1.755078-6 3.349654+0 1.416381-6 3.935501+0 1.152082-6 4.677351+0 9.307904-7 5.754399+0 7.265690-7 7.161434+0 5.638144-7 9.120108+0 4.293369-7 1.216186+1 3.129871-7 1.678804+1 2.214696-7 2.317395+1 1.577074-7 3.507519+1 1.025549-7 6.683439+1 5.306654-8 1.333521+2 2.638353-8 2.660725+2 1.316489-8 2.113489+3 1.652009-9 1.000000+5 3.48950-11 1 5000 7 0 1.081100+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.956100-4 1.956100-4 1.000000+5 1.956100-4 1 5000 7 9 1.081100+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.956100-4 0.0 1.000000+5 1.000000+5 1 5000 7 0 1.081100+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.258000-5 1.167012+6 1.273503-5 1.206248+6 1.305000-5 1.278532+6 1.335000-5 1.341032+6 1.365000-5 1.397428+6 1.396368-5 1.450688+6 1.440000-5 1.515326+6 1.485000-5 1.571722+6 1.531087-5 1.619396+6 1.590000-5 1.667894+6 1.650000-5 1.704748+6 1.717908-5 1.733467+6 1.800000-5 1.753140+6 1.883649-5 1.759946+6 1.980000-5 1.755106+6 2.089296-5 1.737355+6 2.213095-5 1.706325+6 2.350000-5 1.662964+6 2.511886-5 1.604558+6 2.691535-5 1.535503+6 2.900000-5 1.453806+6 3.150000-5 1.357692+6 3.427678-5 1.256484+6 3.715352-5 1.158837+6 4.027170-5 1.061708+6 4.400000-5 9.570920+5 4.786301-5 8.605917+5 5.188000-5 7.718181+5 5.623413-5 6.873410+5 6.095369-5 6.076618+5 6.606934-5 5.334514+5 7.161434-5 4.650377+5 7.852356-5 3.944421+5 8.609938-5 3.319963+5 9.549926-5 2.713529+5 1.071519-4 2.151142+5 1.216186-4 1.652531+5 1.380384-4 1.259803+5 1.548817-4 9.779987+4 1.757924-4 7.349969+4 2.041738-4 5.203646+4 2.786121-4 2.511720+4 3.235937-4 1.759122+4 3.672823-4 1.292046+4 4.216965-4 9.151108+3 4.897788-4 6.248462+3 5.821032-4 3.988112+3 7.161434-4 2.309856+3 8.128305-4 1.645798+3 9.120108-4 1.201075+3 1.071519-3 7.653739+2 1.258925-3 4.843906+2 1.479108-3 3.043504+2 1.757924-3 1.833185+2 2.213095-3 9.235630+1 2.722701-3 4.946853+1 3.349654-3 2.629721+1 4.120975-3 1.387050+1 5.000000-3 7.581952+0 6.237348-3 3.767478+0 7.852356-3 1.804232+0 1.000000-2 8.263581-1 1.303167-2 3.486779-1 1.737801-2 1.353921-1 2.398833-2 4.654922-2 3.548134-2 1.262171-2 7.079458-2 1.245737-3 1.083927-1 2.993096-4 1.364583-1 1.394121-4 1.659587-1 7.332982-5 1.995262-1 4.031584-5 2.317395-1 2.498222-5 2.660725-1 1.618119-5 2.985383-1 1.133937-5 3.349654-1 8.003402-6 3.715352-1 5.890005-6 4.120975-1 4.366708-6 4.518559-1 3.369478-6 4.954502-1 2.618088-6 5.432503-1 2.049479-6 5.956621-1 1.616841-6 6.456542-1 1.322705-6 6.998420-1 1.089480-6 7.585776-1 9.031775-7 8.222427-1 7.538435-7 9.015711-1 6.182704-7 1.000000+0 4.987700-7 1.148154+0 3.775230-7 1.318257+0 2.877644-7 1.479108+0 2.311436-7 1.548817+0 2.127560-7 1.640590+0 1.930925-7 1.778279+0 1.700006-7 2.162719+0 1.266189-7 2.454709+0 1.054554-7 2.818383+0 8.709355-8 3.311311+0 7.025010-8 3.890451+0 5.711078-8 4.623810+0 4.611672-8 5.688529+0 3.598228-8 7.079458+0 2.791077-8 9.015711+0 2.124575-8 1.202264+1 1.548422-8 1.659587+1 1.095375-8 2.317395+1 7.704884-9 3.507519+1 5.010379-9 6.683439+1 2.592629-9 1.333521+2 1.288972-9 2.660725+2 6.43174-10 2.113489+3 8.07106-11 1.000000+5 1.70480-12 1 5000 7 0 1.081100+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.258000-5 1.258000-5 1.000000+5 1.258000-5 1 5000 7 9 1.081100+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.258000-5 0.0 1.000000+5 1.000000+5 1 5000 7 0 1.081100+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 6.670000-6 3.909100+6 7.200000-6 3.588300+6 7.762471-6 3.279700+6 8.511380-6 2.912800+6 9.440609-6 2.525700+6 1.035142-5 2.211000+6 1.150000-5 1.885300+6 1.288250-5 1.575600+6 1.428894-5 1.328500+6 1.584893-5 1.111700+6 1.737801-5 9.431800+5 1.905461-5 7.946300+5 2.089296-5 6.646300+5 2.264644-5 5.648400+5 2.454709-5 4.768400+5 2.660725-5 3.999200+5 2.884032-5 3.330300+5 3.126079-5 2.754000+5 3.400000-5 2.242900+5 3.715352-5 1.791700+5 4.027170-5 1.451800+5 4.466836-5 1.098800+5 4.954502-5 8.252100+4 5.559043-5 5.959100+4 6.382635-5 3.998700+4 7.328245-5 2.663400+4 8.413951-5 1.761900+4 9.549926-5 1.198800+4 1.096478-4 7.817500+3 1.273503-4 4.879800+3 1.757924-4 1.751900+3 2.000000-4 1.167600+3 2.317395-4 7.375800+2 2.630268-4 4.936500+2 2.951209-4 3.403100+2 3.273407-4 2.414800+2 3.672823-4 1.637000+2 4.073803-4 1.146000+2 4.731513-4 6.773400+1 6.382635-4 2.350100+1 7.000000-4 1.687600+1 7.673615-4 1.204000+1 8.222426-4 9.287400+0 9.120108-4 6.241000+0 1.288250-3 1.632337+0 1.621810-3 6.614553-1 2.238721-3 1.855686-1 2.786121-3 7.778826-2 3.427678-3 3.388766-2 4.168694-3 1.531390-2 5.188000-3 6.253209-3 6.382635-3 2.657252-3 8.128305-3 9.707609-4 1.083927-2 2.902417-4 1.548817-2 6.437915-5 2.951209-2 4.215062-6 3.981072-2 1.196323-6 5.069907-2 4.355699-7 6.531306-2 1.524106-7 7.852356-2 7.150507-8 9.225714-2 3.714375-8 1.059254-1 2.132849-8 1.230269-1 1.178521-8 1.412538-1 6.865897-9 1.640590-1 3.853411-9 1.840772-1 2.487815-9 2.041738-1 1.689104-9 2.290868-1 1.108246-9 2.570396-1 7.32766-10 2.917427-1 4.68172-10 3.235937-1 3.26744-10 3.548134-1 2.38912-10 3.890451-1 1.76077-10 4.265795-1 1.30682-10 4.731513-1 9.42120-11 5.188000-1 7.09419-11 5.623413-1 5.57125-11 6.095369-1 4.40485-11 6.606935-1 3.50853-11 7.161434-1 2.81400-11 7.943282-1 2.13217-11 8.511380-1 1.78331-11 9.015711-1 1.54571-11 9.549926-1 1.34837-11 1.011579+0 1.18504-11 1.083927+0 1.02300-11 1.174898+0 8.70891-12 1.318257+0 6.98851-12 1.513561+0 5.39879-12 1.603245+0 4.88709-12 1.717908+0 4.37022-12 1.905461+0 3.73014-12 2.213095+0 2.98202-12 2.511886+0 2.48706-12 2.884032+0 2.05676-12 3.388442+0 1.66086-12 3.981072+0 1.35172-12 4.731513+0 1.09260-12 5.821032+0 8.53220-13 7.244360+0 6.62360-13 9.225714+0 5.04564-13 1.216186+1 3.72563-13 1.678804+1 2.63624-13 2.317395+1 1.87720-13 3.548134+1 1.20639-13 6.683439+1 6.31662-14 1.333521+2 3.14047-14 2.660725+2 1.56705-14 4.216965+3 9.85235-16 1.000000+5 4.15360-17 1 5000 7 0 1.081100+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 6.670000-6 6.670000-6 1.000000+5 6.670000-6 1 5000 7 9 1.081100+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 6.670000-6 0.0 1.000000+5 1.000000+5 1 5000 7 0 1.081100+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 6.660000-6 7.822204+6 7.079458-6 7.319153+6 7.700000-6 6.624723+6 8.413951-6 5.913507+6 9.225714-6 5.216759+6 1.023293-5 4.495809+6 1.135011-5 3.846861+6 1.270000-5 3.223635+6 1.412538-5 2.706978+6 1.570000-5 2.259554+6 1.730000-5 1.900374+6 1.905461-5 1.588073+6 2.089296-5 1.328466+6 2.264644-5 1.128690+6 2.454709-5 9.529983+5 2.660725-5 7.991311+5 2.900000-5 6.569903+5 3.150000-5 5.403203+5 3.427678-5 4.391402+5 3.715352-5 3.579994+5 4.073803-5 2.813087+5 4.466836-5 2.195167+5 5.011872-5 1.596283+5 5.688529-5 1.114398+5 6.531306-5 7.466936+4 7.585776-5 4.800245+4 8.709636-5 3.169767+4 1.000000-4 2.077608+4 1.148154-4 1.351045+4 1.348963-4 8.112141+3 1.757924-4 3.495765+3 2.511886-4 1.137179+3 2.851018-4 7.588485+2 3.054921-4 6.060171+2 3.427678-4 4.126399+2 3.801894-4 2.898174+2 4.315191-4 1.868013+2 5.308844-4 9.068867+1 6.025596-4 5.790680+1 6.760830-4 3.823643+1 7.498942-4 2.612877+1 8.413951-4 1.689134+1 9.660509-4 9.928722+0 1.216186-3 4.066025+0 1.513561-3 1.727238+0 2.137962-3 4.423009-1 2.691535-3 1.770079-1 3.331200-3 7.522516-2 3.981072-3 3.650807-2 4.897788-3 1.563398-2 6.095369-3 6.337850-3 7.673615-3 2.428189-3 1.000000-2 7.989062-4 1.380384-2 2.045950-4 4.027170-2 2.169322-6 5.188000-2 7.450754-7 6.382635-2 3.129755-7 7.673615-2 1.457721-7 9.120108-2 7.172108-8 1.109175-1 3.237111-8 1.273503-1 1.859468-8 1.445440-1 1.126986-8 1.603245-1 7.531681-9 1.798871-1 4.847767-9 2.041738-1 3.010641-9 2.264644-1 2.050987-9 2.483133-1 1.468328-9 2.660725-1 1.148803-9 2.884032-1 8.69252-10 3.126079-1 6.61933-10 3.427678-1 4.88460-10 3.715352-1 3.76298-10 4.027170-1 2.91818-10 4.365158-1 2.27963-10 4.695800-1 1.83520-10 5.069907-1 1.47370-10 5.495409-1 1.17946-10 5.956621-1 9.51277-11 6.382635-1 7.96259-11 6.839117-1 6.70658-11 7.413102-1 5.53209-11 7.943282-1 4.71969-11 8.413951-1 4.16083-11 8.912509-1 3.69196-11 1.035142+0 2.78192-11 1.396368+0 1.53676-11 1.496236+0 1.34812-11 1.584893+0 1.21854-11 1.698244+0 1.08836-11 1.862087+0 9.44401-12 2.213095+0 7.29306-12 2.511886+0 6.08264-12 2.884032+0 5.03018-12 3.388442+0 4.06183-12 3.981072+0 3.30571-12 4.731513+0 2.67206-12 5.821032+0 2.08668-12 7.244360+0 1.61986-12 9.225714+0 1.23398-12 1.230269+1 8.99802-13 1.717908+1 6.29104-13 2.344229+1 4.53630-13 3.548134+1 2.95031-13 6.760830+1 1.52680-13 1.348963+2 7.59186-14 2.691535+2 3.78827-14 2.137962+3 4.75414-15 1.000000+5 1.01580-16 1 5000 7 0 1.081100+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 6.660000-6 6.660000-6 1.000000+5 6.660000-6 1 5000 7 9 1.081100+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 6.660000-6 0.0 1.000000+5 1.000000+5 1 5000 7 0 1.081100+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 9.20111-10 1.028750+0 9.201110-9 1.036640+0 9.201110-8 1.054080+0 9.201110-7 1.057700+0 1.254160-6 1.061100+0 1.631340-6 1.065100+0 2.159690-6 1.070400+0 3.012950-6 1.076200+0 4.163850-6 1.080600+0 5.199960-6 1.087100+0 7.006150-6 1.093710+0 9.201110-6 1.102600+0 1.275830-5 1.110700+0 1.664110-5 1.120600+0 2.226390-5 1.133300+0 3.096060-5 1.147500+0 4.275430-5 1.158200+0 5.313480-5 1.174100+0 7.100220-5 1.190110+0 9.201110-5 1.205100+0 1.144520-4 1.227500+0 1.530900-4 1.250000+0 1.981000-4 1.281300+0 2.711430-4 1.308600+0 3.448190-4 1.332500+0 4.167760-4 1.374400+0 5.594910-4 1.405800+0 6.798090-4 1.452900+0 8.805890-4 1.500000+0 1.104000-3 1.562500+0 1.431340-3 1.641100+0 1.887190-3 1.706900+0 2.300920-3 1.811600+0 3.010170-3 1.952900+0 4.046180-3 2.000000+0 4.408000-3 2.044000+0 4.752000-3 2.163500+0 5.706610-3 2.372600+0 7.421930-3 2.647100+0 9.706500-3 3.000000+0 1.263000-2 3.437500+0 1.617670-2 4.000000+0 2.052000-2 4.750000+0 2.585490-2 5.000000+0 2.754000-2 6.000000+0 3.387000-2 7.000000+0 3.950000-2 8.000000+0 4.459000-2 9.000000+0 4.921000-2 1.000000+1 5.341000-2 1.100000+1 5.723000-2 1.200000+1 6.074000-2 1.300000+1 6.401000-2 1.400000+1 6.706000-2 1.500000+1 6.991000-2 1.600000+1 7.259000-2 1.800000+1 7.751000-2 2.000000+1 8.193000-2 2.200000+1 8.594000-2 2.400000+1 8.959000-2 2.600000+1 9.295000-2 2.800000+1 9.604000-2 3.000000+1 9.892000-2 4.000000+1 1.107000-1 5.000000+1 1.196000-1 6.000000+1 1.267000-1 8.000000+1 1.373000-1 1.000000+2 1.451000-1 1.500000+2 1.582000-1 2.000000+2 1.665000-1 3.000000+2 1.766000-1 4.000000+2 1.827000-1 5.000000+2 1.868000-1 6.000000+2 1.898000-1 8.000000+2 1.939000-1 1.000000+3 1.965000-1 1.500000+3 2.005000-1 2.000000+3 2.027000-1 3.000000+3 2.050000-1 4.000000+3 2.063000-1 5.000000+3 2.072000-1 6.000000+3 2.077000-1 8.000000+3 2.085000-1 1.000000+4 2.090000-1 1.500000+4 2.096000-1 2.000000+4 2.100000-1 3.000000+4 2.104000-1 4.000000+4 2.106000-1 5.000000+4 2.107000-1 6.000000+4 2.108000-1 8.000000+4 2.109000-1 1.000000+5 2.110000-1 1 5000 7 8 1.081100+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 5000 7 9 1.081100+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 5000 7 0 1.081100+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 5.019910-8 2.136250+0 5.019910-7 2.169000+0 1.193060-6 2.184500+0 1.658400-6 2.201800+0 2.294440-6 2.214800+0 2.858690-6 2.234200+0 3.845450-6 2.253680+0 5.019910-6 2.281500+0 7.031280-6 2.307000+0 9.235570-6 2.338200+0 1.241800-5 2.377400+0 1.719750-5 2.410200+0 2.187240-5 2.446800+0 2.782290-5 2.485900+0 3.503060-5 2.532900+0 4.483150-5 2.556430+0 5.019910-5 2.611900+0 6.400890-5 2.660400+0 7.738260-5 2.745300+0 1.035700-4 2.809000+0 1.254280-4 2.904500+0 1.615800-4 3.000000+0 2.017000-4 3.125000+0 2.601060-4 3.234400+0 3.165220-4 3.425800+0 4.263260-4 3.569300+0 5.170460-4 3.784700+0 6.648160-4 4.000000+0 8.237000-4 4.250000+0 1.017950-3 4.625000+0 1.323310-3 5.000000+0 1.641000-3 5.500000+0 2.077760-3 6.000000+0 2.521000-3 6.750000+0 3.181370-3 7.000000+0 3.399000-3 8.000000+0 4.252000-3 9.000000+0 5.069000-3 1.000000+1 5.849000-3 1.100000+1 6.588000-3 1.200000+1 7.288000-3 1.300000+1 7.949000-3 1.400000+1 8.581000-3 1.500000+1 9.180000-3 1.600000+1 9.752000-3 1.800000+1 1.082000-2 2.000000+1 1.179000-2 2.200000+1 1.269000-2 2.400000+1 1.353000-2 2.600000+1 1.430000-2 2.800000+1 1.502000-2 3.000000+1 1.570000-2 4.000000+1 1.855000-2 5.000000+1 2.078000-2 6.000000+1 2.259000-2 8.000000+1 2.541000-2 1.000000+2 2.754000-2 1.500000+2 3.124000-2 2.000000+2 3.371000-2 3.000000+2 3.690000-2 4.000000+2 3.893000-2 5.000000+2 4.035000-2 6.000000+2 4.142000-2 8.000000+2 4.294000-2 1.000000+3 4.397000-2 1.500000+3 4.553000-2 2.000000+3 4.644000-2 3.000000+3 4.744000-2 4.000000+3 4.803000-2 5.000000+3 4.839000-2 6.000000+3 4.865000-2 8.000000+3 4.900000-2 1.000000+4 4.922000-2 1.500000+4 4.952000-2 2.000000+4 4.970000-2 3.000000+4 4.987000-2 4.000000+4 4.998000-2 5.000000+4 5.004000-2 6.000000+4 5.008000-2 8.000000+4 5.013000-2 1.000000+5 5.016000-2 1 5000 7 8 1.081100+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 5000 7 9 1.081100+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 5000 7 0 1.081100+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 5.000000+0 1.000000+5 5.000000+0 5.000000+5 4.997100+0 8.750000+5 4.990800+0 1.000000+6 4.988500+0 1.500000+6 4.974100+0 2.000000+6 4.954200+0 2.500000+6 4.928900+0 3.000000+6 4.898100+0 3.500000+6 4.862060+0 3.750000+6 4.842460+0 4.000000+6 4.821700+0 4.750000+6 4.752100+0 5.000000+6 4.727000+0 5.500000+6 4.673310+0 6.000000+6 4.616240+0 6.250000+6 4.586670+0 7.000000+6 4.493400+0 7.875000+6 4.377110+0 8.000000+6 4.359750+0 9.000000+6 4.216900+0 9.750000+6 4.104760+0 1.000000+7 4.067900+0 1.062500+7 3.976130+0 1.125000+7 3.885430+0 1.156300+7 3.839670+0 1.218800+7 3.747350+0 1.250000+7 3.700600+0 1.375000+7 3.511110+0 1.468800+7 3.372590+0 1.500000+7 3.328000+0 1.609400+7 3.177490+0 1.687500+7 3.075470+0 1.750000+7 2.997400+0 1.875000+7 2.848600+0 2.000000+7 2.711300+0 2.125000+7 2.584480+0 2.312500+7 2.417430+0 2.500000+7 2.273000+0 2.718800+7 2.131610+0 2.750000+7 2.113730+0 3.000000+7 1.986300+0 3.250000+7 1.885570+0 3.578100+7 1.782230+0 3.812500+7 1.723420+0 4.000000+7 1.683100+0 4.500000+7 1.596520+0 5.000000+7 1.526200+0 5.500000+7 1.462320+0 6.000000+7 1.400300+0 6.500000+7 1.337660+0 7.000000+7 1.274100+0 7.500000+7 1.209820+0 8.000000+7 1.145400+0 8.500000+7 1.081460+0 9.000000+7 1.018700+0 9.500000+7 9.576550-1 1.000000+8 8.987300-1 1.062500+8 8.284190-1 1.109400+8 7.784470-1 1.125000+8 7.623430-1 1.179700+8 7.080670-1 1.250000+8 6.433200-1 1.312500+8 5.902750-1 1.394500+8 5.271090-1 1.437500+8 4.966860-1 1.464800+8 4.782920-1 1.500000+8 4.556500-1 1.589800+8 4.027390-1 1.665000+8 3.634350-1 1.748800+8 3.244520-1 1.750000+8 3.239290-1 1.838500+8 2.877330-1 1.946200+8 2.495590-1 2.000000+8 2.326500-1 2.125000+8 1.980610-1 2.218800+8 1.759530-1 2.359400+8 1.479480-1 2.500000+8 1.250600-1 2.625000+8 1.081640-1 2.812500+8 8.762480-2 3.000000+8 7.154000-2 3.218800+8 5.696390-2 3.500000+8 4.312700-2 3.750000+8 3.412960-2 4.000000+8 2.732000-2 4.250000+8 2.208450-2 4.625000+8 1.633140-2 5.000000+8 1.231000-2 5.500000+8 8.671700-3 6.000000+8 6.270000-3 6.750000+8 4.016140-3 7.000000+8 3.496300-3 8.000000+8 2.094300-3 9.500000+8 1.075740-3 1.000000+9 8.808100-4 1.250000+9 3.673260-4 1.500000+9 1.790600-4 2.000000+9 5.737300-5 5.000000+9 1.515200-6 7.250000+9 3.484600-7 8.000000+9 2.362700-7 1.00000+10 9.810600-8 1.27030+10 3.837030-8 1.70630+10 1.213250-8 2.16210+10 4.846690-9 2.65200+10 2.207560-9 3.32650+10 9.28546-10 3.94540+10 4.86097-10 4.70230+10 2.50994-10 5.67350+10 1.24483-10 6.75510+10 6.52481-11 8.17480+10 3.24197-11 1.00000+11 1.56110-11 1.17140+11 8.85192-12 1.36540+11 5.13468-12 1.70670+11 2.34427-12 2.04860+11 1.24330-12 2.52170+11 6.08999-13 3.35790+11 2.30733-13 4.68190+11 7.61690-14 6.33390+11 2.82515-14 1.03630+12 5.78451-15 1.58930+12 1.49868-15 3.03270+12 2.02954-16 7.26730+12 1.44707-17 2.69580+13 3.00942-19 1.00000+14 6.47460-21 5.62340+14 3.91695-23 5.42470+15 4.39214-26 1.00000+17 6.52510-30 1 5000 7 0 1.081100+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.56500-12 1.000000+2 1.56500-10 1.000000+3 1.565000-8 1.000000+4 1.565000-6 1.000000+5 1.565000-4 5.000000+5 3.912500-3 8.750000+5 1.198203-2 1.000000+6 1.565000-2 1.500000+6 3.503300-2 2.000000+6 6.200000-2 2.500000+6 9.592600-2 3.000000+6 1.370200-1 3.500000+6 1.844140-1 3.750000+6 2.102880-1 4.000000+6 2.376100-1 4.750000+6 3.275090-1 5.000000+6 3.598900-1 5.500000+6 4.276570-1 6.000000+6 4.990800-1 6.250000+6 5.359830-1 7.000000+6 6.507200-1 7.875000+6 7.906170-1 8.000000+6 8.110770-1 9.000000+6 9.778900-1 9.750000+6 1.105260+0 1.000000+7 1.147400+0 1.062500+7 1.250340+0 1.125000+7 1.350840+0 1.156300+7 1.400620+0 1.218800+7 1.499280+0 1.250000+7 1.548500+0 1.375000+7 1.744680+0 1.468800+7 1.886200+0 1.500000+7 1.931400+0 1.609400+7 2.080600+0 1.687500+7 2.179920+0 1.750000+7 2.255800+0 1.875000+7 2.399380+0 2.000000+7 2.530800+0 2.125000+7 2.648690+0 2.312500+7 2.802700+0 2.500000+7 2.932800+0 2.718800+7 3.058860+0 2.750000+7 3.074850+0 3.000000+7 3.189800+0 3.250000+7 3.283930+0 3.578100+7 3.386850+0 3.812500+7 3.451000+0 4.000000+7 3.499100+0 4.500000+7 3.619030+0 5.000000+7 3.731800+0 5.500000+7 3.841620+0 6.000000+7 3.947600+0 6.500000+7 4.049510+0 7.000000+7 4.146200+0 7.500000+7 4.236330+0 8.000000+7 4.320200+0 8.500000+7 4.397950+0 9.000000+7 4.468900+0 9.500000+7 4.532460+0 1.000000+8 4.589600+0 1.062500+8 4.651970+0 1.109400+8 4.693240+0 1.125000+8 4.706230+0 1.179700+8 4.746940+0 1.250000+8 4.791800+0 1.312500+8 4.824460+0 1.394500+8 4.859990+0 1.437500+8 4.875880+0 1.464800+8 4.884570+0 1.500000+8 4.895500+0 1.589800+8 4.918140+0 1.665000+8 4.933040+0 1.748800+8 4.946840+0 1.750000+8 4.947010+0 1.838500+8 4.958050+0 1.946200+8 4.968500+0 2.000000+8 4.972900+0 2.125000+8 4.980430+0 2.218800+8 4.984200+0 2.359400+8 4.988940+0 2.500000+8 4.992200+0 2.625000+8 4.993740+0 2.812500+8 4.995920+0 3.000000+8 4.997400+0 3.218800+8 4.998180+0 3.500000+8 4.999100+0 3.750000+8 4.999360+0 4.000000+8 4.999600+0 4.250000+8 4.999680+0 4.625000+8 4.999800+0 5.000000+8 4.999900+0 5.500000+8 4.999950+0 6.000000+8 5.000000+0 6.750000+8 5.000000+0 7.000000+8 5.000000+0 8.000000+8 5.000000+0 9.500000+8 5.000000+0 1.000000+9 5.000000+0 1.250000+9 5.000000+0 1.500000+9 5.000000+0 2.000000+9 5.000000+0 5.000000+9 5.000000+0 7.250000+9 5.000000+0 8.000000+9 5.000000+0 1.00000+10 5.000000+0 1.27030+10 5.000000+0 1.70630+10 5.000000+0 2.16210+10 5.000000+0 2.65200+10 5.000000+0 3.32650+10 5.000000+0 3.94540+10 5.000000+0 4.70230+10 5.000000+0 5.67350+10 5.000000+0 6.75510+10 5.000000+0 8.17480+10 5.000000+0 1.00000+11 5.000000+0 1.17140+11 5.000000+0 1.36540+11 5.000000+0 1.70670+11 5.000000+0 2.04860+11 5.000000+0 2.52170+11 5.000000+0 3.35790+11 5.000000+0 4.68190+11 5.000000+0 6.33390+11 5.000000+0 1.03630+12 5.000000+0 1.58930+12 5.000000+0 3.03270+12 5.000000+0 7.26730+12 5.000000+0 2.69580+13 5.000000+0 1.00000+14 5.000000+0 5.62340+14 5.000000+0 5.42470+15 5.000000+0 1.00000+17 5.000000+0 1 5000 7 0 1.081100+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.031982-6 0.0 3.559527-6 0.0 3.563362-6 5.043049-2 3.577049-6 3.173929-1 3.580904-6 4.250849-1 3.585811-6 5.834982-1 3.589675-6 7.510356-1 3.594572-6 9.907641-1 3.598445-6 1.226632+0 3.603333-6 1.553838+0 3.630713-6 3.789140+0 3.639713-6 4.287165+0 3.648069-6 4.473296+0 3.657263-6 4.304244+0 3.666011-6 3.831551+0 3.684557-6 2.332563+0 3.690947-6 1.789513+0 3.699708-6 1.174993+0 3.703695-6 9.518772-1 3.708469-6 7.130085-1 3.712465-6 5.580630-1 3.717231-6 3.998860-1 3.721236-6 3.022990-1 3.734753-6 2.762468-2 3.738778-6 0.0 4.391470-6 0.0 4.391919-6 6.068543-9 4.395754-6 1.098068-7 4.413539-6 8.276235-7 4.417393-6 1.049202-6 4.424349-6 1.516394-6 4.428213-6 1.861111-6 4.435159-6 2.566288-6 4.445515-6 3.944436-6 4.478400-6 9.519871-6 4.489210-6 1.083583-5 4.500020-6 1.139414-5 4.510830-6 1.106892-5 4.521640-6 9.934614-6 4.536409-6 7.547605-6 4.554071-6 4.468923-6 4.564881-6 2.923642-6 4.568868-6 2.464498-6 4.575691-6 1.767525-6 4.579687-6 1.448659-6 4.586501-6 9.875253-7 4.590507-6 7.866941-7 4.607650-6 7.020620-8 4.608121-6 5.688130-8 4.612146-6 0.0 5.021248-6 0.0 5.021258-6 1.822085-5 5.025084-6 7.149708-2 5.045976-6 6.509907-1 5.049821-6 8.036627-1 5.058336-6 1.194404+0 5.062190-6 1.431922+0 5.070695-6 2.023713+0 5.083054-6 3.166502+0 5.121677-6 7.656747+0 5.133263-6 8.596211+0 5.145985-6 8.987178+0 5.159210-6 8.618734+0 5.171775-6 7.639313+0 5.207032-6 3.657950+0 5.219260-6 2.539256+0 5.231613-6 1.731094+0 5.238580-6 1.430937+0 5.244759-6 1.202379+0 5.257577-6 9.056165-1 5.268693-6 6.419127-1 5.273041-6 6.141875-1 5.281810-6 6.226877-1 5.290559-6 6.067097-1 5.303238-6 5.442235-1 5.330574-6 3.315847-1 5.341274-6 2.441095-1 5.353953-6 1.594879-1 5.357939-6 1.380503-1 5.366631-6 9.627420-2 5.370627-6 8.138599-2 5.379310-6 5.369745-2 5.383316-6 4.432022-2 5.396004-6 1.981233-2 5.404668-6 2.657094-3 5.408692-6 0.0 5.668829-6 0.0 5.672665-6 2.528097-2 5.696735-6 2.608825-1 5.700590-6 3.148878-1 5.710688-6 4.784080-1 5.724641-6 8.101289-1 5.731550-6 1.032300+0 5.742477-6 1.424924+0 5.769677-6 2.601170+0 5.773512-6 3.004563+0 5.801934-6 9.375159+0 5.816145-6 1.407487+1 5.830355-6 2.080412+1 5.845837-6 3.070269+1 5.885726-6 6.094814+1 5.902915-6 6.915805+1 5.917059-6 7.070941+1 5.931135-6 6.701880+1 5.946019-6 5.813598+1 5.986674-6 2.556497+1 6.000885-6 1.651723+1 6.015095-6 9.970111+0 6.025301-6 6.813387+0 6.029306-6 5.749301+0 6.053703-6 1.394668+0 6.057728-6 9.397150-1 6.086397-6 1.532434+0 6.102740-6 1.767766+0 6.117507-6 1.853509+0 6.134401-6 1.780194+0 6.150770-6 1.588959+0 6.180975-6 1.091895+0 6.193205-6 9.326089-1 6.207296-6 8.249193-1 6.220873-6 8.023404-1 6.233900-6 8.441785-1 6.286690-6 1.182401+0 6.306817-6 1.211536+0 6.367431-6 1.111700+0 6.536625-6 1.114929+0 6.662384-6 1.100522+0 7.199537-6 1.108679+0 1.016539-5 9.906366-1 1.024045-5 1.064582+0 1.029050-5 1.187760+0 1.036633-5 1.455945+0 1.039058-5 1.514306+0 1.041560-5 1.536079+0 1.044688-5 1.498998+0 1.050317-5 1.318657+0 1.056572-5 1.105629+0 1.061577-5 1.013312+0 1.066581-5 9.671606-1 1.120383-5 9.434510-1 1.128656-5 9.900271-1 1.134172-5 1.068971+0 1.143823-5 1.259382+0 1.147960-5 1.292267+0 1.153475-5 1.237684+0 1.162672-5 1.042766+0 1.168396-5 9.788111-1 1.175537-5 9.773665-1 1.188428-5 1.108346+0 1.195583-5 1.115661+0 1.209892-5 1.075615+0 1.508993-5 1.127837+0 1.883649-5 1.129938+0 2.880000-5 1.013632+0 4.527922-5 8.033045-1 6.058849-5 6.521709-1 7.776448-5 5.209245-1 9.554742-5 4.195534-1 1.125956-4 3.474656-1 1.316135-4 2.876265-1 1.567699-4 2.304463-1 1.844061-4 1.856613-1 1.844100-4 1.872142-1 1.853178-4 1.263924+0 1.857717-4 2.154820+0 1.862256-4 3.505365+0 1.867362-4 5.633025+0 1.875314-4 9.727906+0 1.880696-4 1.232877+1 1.885686-4 1.389477+1 1.889951-4 1.435385+1 1.894798-4 1.370103+1 1.900043-4 1.184902+1 1.910688-4 7.005475+0 1.913261-4 6.027312+0 1.917094-4 4.849047+0 1.921368-4 4.032084+0 1.926063-4 3.658677+0 1.935540-4 3.577537+0 1.941707-4 4.006643+0 1.946202-4 4.208563+0 1.953987-4 4.328505+0 1.969206-4 4.241560+0 1.986553-4 4.059612+0 2.064063-4 3.718966+0 2.260847-4 3.432337+0 2.932680-4 2.489707+0 3.381237-4 2.028961+0 3.940238-4 1.599584+0 4.430524-4 1.321350+0 5.084861-4 1.052504+0 5.714963-4 8.622462-1 6.380841-4 7.118236-1 7.279265-4 5.640488-1 8.144582-4 4.604543-1 8.968763-4 3.859162-1 1.003646-3 3.130940-1 1.113685-3 2.574141-1 1.256357-3 2.043991-1 1.390184-3 1.679848-1 1.525726-3 1.400058-1 1.686371-3 1.149129-1 1.853940-3 9.512081-2 2.056236-3 7.726722-2 2.241511-3 6.481709-2 2.509168-3 5.151893-2 2.744735-3 4.278215-2 3.005865-3 3.542131-2 3.345203-3 2.830539-2 3.652719-3 2.351343-2 4.082239-3 1.854858-2 4.457230-3 1.536186-2 4.899914-3 1.252461-2 5.350204-3 1.034068-2 5.964069-3 8.155530-3 6.525874-3 6.685320-3 7.124224-3 5.506558-3 7.862427-3 4.422746-3 8.550730-3 3.663369-3 9.450863-3 2.926094-3 1.047714-2 2.319679-3 1.135591-2 1.931399-3 1.249461-2 1.554074-3 1.380561-2 1.237249-3 1.497022-2 1.027105-3 1.656874-2 8.134169-4 1.839262-2 6.394564-4 1.994184-2 5.299956-4 2.171473-2 4.348696-4 2.390674-2 3.477830-4 2.600160-2 2.860048-4 2.812734-2 2.378888-4 3.064298-2 1.946166-4 3.389980-2 1.536015-4 3.645855-2 1.295541-4 3.952395-2 1.071203-4 4.292230-2 8.816171-5 4.708292-2 7.092497-5 5.110195-2 5.846171-5 5.615144-2 4.681998-5 6.107680-2 3.841672-5 6.681992-2 3.106594-5 7.257237-2 2.557285-5 7.852356-2 2.125973-5 8.602854-2 1.716200-5 9.487479-2 1.364076-5 1.028057-1 1.130339-5 1.114575-1 9.368976-6 1.201030-1 7.876701-6 1.330933-1 6.210254-6 1.454797-1 5.064394-6 1.606074-1 4.034279-6 1.784356-1 3.181840-6 1.957401-1 2.584239-6 2.146154-1 2.109133-6 2.379600-1 1.684825-6 2.617524-1 1.373027-6 2.912282-1 1.097464-6 3.244570-1 8.804363-7 3.569714-1 7.283244-7 3.959437-1 5.971721-7 4.414432-1 4.890640-7 4.962063-1 3.987923-7 5.497386-1 3.367586-7 6.026680-1 2.916770-7 6.857285-1 2.414583-7 7.740161-1 2.058459-7 8.810489-1 1.759791-7 1.018930+0 1.504335-7 1.228714+0 1.256740-7 1.477239+0 1.053205-7 1.776032+0 8.826334-8 2.135261+0 7.396868-8 2.567148+0 6.198911-8 3.086391+0 5.194968-8 3.710658+0 4.353619-8 4.461192+0 3.648530-8 5.363532+0 3.057634-8 6.448384+0 2.562436-8 7.752663+0 2.147437-8 9.320751+0 1.799650-8 9.760024+0 1.721888-8 1.000000+1 3.300591-8 1 5000 7 0 1.081100+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-4.965964+0 2.532893-6-4.714125+0 3.169598-6-4.388640+0 3.403651-6-4.057542+0 3.489869-6-3.746271+0 3.533379-6-3.402186+0 3.553008-6-3.101849+0 3.585811-6-2.135461+0 3.598445-6-1.776628+0 3.606299-6-1.664997+0 3.613262-6-1.730808+0 3.619182-6-1.887449+0 3.625215-6-2.158977+0 3.629617-6-2.464247+0 3.638019-6-3.207068+0 3.655623-6-5.103290+0 3.667388-6-3.972303+0 3.675499-6-3.504589+0 3.682428-6-3.250204+0 3.690048-6-3.158630+0 3.699708-6-3.286558+0 3.745758-6-4.639119+0 3.781363-6-5.091585+0 3.796674-6-5.057139+0 3.891102-6-4.661373+0 4.521640-6-3.443824+0 4.698186-6-2.913844+0 4.794416-6-2.495295+0 4.871395-6-2.022335+0 4.919447-6-1.610291+0 4.953049-6-1.220166+0 4.975560-6-8.773775-1 4.986982-6-6.635459-1 4.995549-6-4.774618-1 5.001974-6-3.183988-1 5.006792-6-1.846149-1 5.010406-6-7.368351-2 5.015827-6 1.166386-1 5.018538-6 2.283880-1 5.019893-6 2.916328-1 5.025084-6 5.747625-1 5.028176-6 7.229368-1 5.041715-6 1.276838+0 5.062190-6 2.289049+0 5.074943-6 2.837231+0 5.085084-6 3.100429+0 5.091302-6 3.115843+0 5.099296-6 2.969919+0 5.106458-6 2.691058+0 5.112440-6 2.334096+0 5.117247-6 1.945211+0 5.120132-6 1.631156+0 5.127084-6 8.295784-1 5.129787-6 4.942928-1 5.131139-6 3.091693-1 5.131815-6 2.083555-1 5.133263-6-3.985364-2 5.134712-6-2.541916-1 5.142315-6-1.323557+0 5.144533-6-1.684252+0 5.145985-6-1.956081+0 5.156979-6-3.575217+0 5.161071-6-4.191796+0 5.170041-6-5.309801+0 5.177870-6-4.562608+0 5.187388-6-3.987480+0 5.196332-6-3.678515+0 5.204156-6-3.617392+0 5.218374-6-3.968601+0 5.248042-6-5.305440+0 5.269163-6-4.489252+0 5.281810-6-4.035611+0 5.357939-6-2.579647+0 5.408692-6-1.547473+0 5.469662-6-3.600889-1 5.494558-6 1.582760-1 5.516341-6 6.479669-1 5.535402-6 1.113207+0 5.552081-6 1.555284+0 5.579444-6 2.370782+0 5.608948-6 3.417627+0 5.635146-6 4.554894+0 5.659356-6 5.869983+0 5.689641-6 8.075604+0 5.717580-6 1.073678+1 5.742477-6 1.380621+1 5.761071-6 1.679450+1 5.769677-6 1.879764+1 5.778397-6 2.140168+1 5.801934-6 2.655366+1 5.817921-6 3.061260+1 5.835240-6 3.395589+1 5.848298-6 3.469816+1 5.860375-6 3.283902+1 5.870656-6 2.940333+1 5.880612-6 2.420484+1 5.885220-6 2.069245+1 5.896998-6 1.080540+1 5.900169-6 7.696137+0 5.901254-6 6.429800+0 5.902068-6 5.359317+0 5.903709-6 3.564609+0 5.905198-6 2.040105+0 5.911630-6-4.396559+0 5.912717-6-5.520342+0 5.914805-6-3.177151+0 5.915563-6-2.186259+0 5.915786-6-1.838549+0 5.916222-6-1.268615+0 5.916647-6-7.530807-1 5.917059-6-2.745490-1 5.917857-6 6.149942-1 5.918605-6 1.417938+0 5.921236-6 4.103468+0 5.928756-6 1.157912+1 5.931135-6 1.435343+1 5.936631-6 1.935564+1 5.946019-6 2.706042+1 5.955269-6 3.246179+1 5.965635-6 3.636764+1 5.977613-6 3.863293+1 5.986674-6 3.839765+1 6.000885-6 3.574824+1 6.029306-6 2.699594+1 6.056722-6 1.923300+1 6.063614-6 1.707848+1 6.075183-6 1.477449+1 6.086397-6 1.317529+1 6.102740-6 1.149841+1 6.125954-6 9.903834+0 6.220873-6 5.278831+0 6.248248-6 4.254148+0 6.276700-6 3.532205+0 6.367431-6 2.112307+0 6.408523-6 1.569049+0 6.456288-6 1.059311+0 6.499929-6 6.724054-1 6.526890-6 4.714390-1 6.563816-6 2.093610-1 6.599061-6-5.512580-3 6.603013-6-2.915902-2 6.614207-6-1.004033-1 6.624138-6-1.587388-1 6.645798-6-2.725759-1 6.662384-6-3.612774-1 6.716472-6-6.083312-1 6.774921-6-8.396750-1 6.863580-6-1.125358+0 6.977538-6-1.418218+0 7.121900-6-1.705523+0 7.386667-6-2.074422+0 7.747559-6-2.387836+0 8.205138-6-2.628920+0 9.083669-6-2.877769+0 1.004714-5-3.097344+0 1.021543-5-3.256617+0 1.031552-5-3.347899+0 1.038432-5-3.177334+0 1.047190-5-2.790922+0 1.052819-5-2.703944+0 1.075247-5-2.948356+0 1.120383-5-3.162657+0 1.138308-5-3.284392+0 1.147960-5-3.104243+0 1.157612-5-2.928389+0 1.168396-5-3.016692+0 1.182705-5-3.166107+0 1.205599-5-3.083515+0 1.508993-5-3.022812+0 2.542802-5-2.623468+0 3.673484-5-2.371472+0 4.990281-5-2.226585+0 7.233484-5-2.161293+0 9.554742-5-2.235819+0 1.188332-4-2.438719+0 1.371474-4-2.723205+0 1.517878-4-3.103905+0 1.622294-4-3.555261+0 1.692779-4-4.051963+0 1.741981-4-4.605865+0 1.783152-4-4.257613+0 1.806465-4-3.830517+0 1.820683-4-3.369506+0 1.829971-4-2.897169+0 1.836834-4-2.376648+0 1.840504-4-1.981980+0 1.843060-4-1.604757+0 1.844061-4-1.389490+0 1.844384-4-1.301198+0 1.845846-4-1.024459+0 1.848639-4-5.960578-1 1.850908-4-2.573676-1 1.852043-4-7.215380-2 1.852610-4 2.977059-2 1.853178-4 1.516942-1 1.857717-4 1.008787+0 1.858284-4 1.136872+0 1.862823-4 1.884116+0 1.863816-4 2.003571+0 1.867362-4 2.284549+0 1.869100-4 2.279477+0 1.871906-4 2.069100+0 1.873639-4 1.787316+0 1.875314-4 1.386932+0 1.877008-4 8.406718-1 1.877859-4 5.428665-1 1.878497-4 3.009805-1 1.878976-4 1.068381-1 1.879694-4-2.107908-1 1.880053-4-3.864940-1 1.880232-4-4.814838-1 1.880696-4-7.546804-1 1.883385-4-2.169380+0 1.884727-4-2.991038+0 1.885686-4-3.685062+0 1.889068-4-5.848719+0 1.889951-4-5.170234+0 1.894377-4-2.471726+0 1.895319-4-1.900166+0 1.896573-4-1.265706+0 1.898967-4-1.584540-1 1.899333-4 1.892621-2 1.900043-4 3.040444-1 1.900708-4 5.384050-1 1.901334-4 7.373458-1 1.902501-4 1.061489+0 1.903525-4 1.301689+0 1.905203-4 1.615227+0 1.906574-4 1.800392+0 1.908374-4 1.945112+0 1.910109-4 1.961496+0 1.912626-4 1.753778+0 1.916136-4 1.269621+0 1.916615-4 1.184252+0 1.917094-4 1.072821+0 1.921368-4 2.191021-1 1.921955-4 7.574960-2 1.922982-4-1.214573-1 1.926063-4-6.625996-1 1.926730-4-7.874050-1 1.927897-4-9.647137-1 1.929648-4-1.193239+0 1.934737-4-1.775715+0 1.936154-4-1.986895+0 1.938032-4-2.160245+0 1.940447-4-2.267224+0 1.944543-4-2.332179+0 1.966474-4-2.079574+0 1.978087-4-2.020140+0 1.990000-4-2.034394+0 2.057814-4-1.913886+0 2.180769-4-1.593270+0 2.406840-4-9.571521-1 2.505310-4-7.287923-1 2.591160-4-5.665471-1 2.691535-4-4.130779-1 2.764880-4-3.201684-1 2.853648-4-2.233649-1 2.932680-4-1.520340-1 3.022962-4-7.881288-2 3.079314-4-4.066767-2 3.119134-4-1.209673-2 3.158658-4 1.150083-2 3.186453-4 2.812575-2 3.225948-4 4.945229-2 3.269157-4 7.405702-2 3.381237-4 1.300631-1 3.475261-4 1.698901-1 3.647726-4 2.305829-1 3.826098-4 2.765270-1 4.110795-4 3.263988-1 4.430524-4 3.574266-1 4.946668-4 3.807241-1 5.714963-4 3.797823-1 8.144582-4 3.061655-1 1.040908-3 2.401197-1 1.256357-3 1.928895-1 1.488297-3 1.554123-1 1.745233-3 1.252497-1 1.980160-3 1.045920-1 2.302007-3 8.380344-2 2.659116-3 6.727337-2 3.005865-3 5.547129-2 3.456464-3 4.428199-2 3.951324-3 3.542529-2 4.457230-3 2.879724-2 5.043736-3 2.317043-2 5.648303-3 1.889463-2 6.331027-3 1.530287-2 7.124224-3 1.222196-2 7.862427-3 1.007416-2 8.799854-3 8.015057-3 9.726230-3 6.487599-3 1.075823-2 5.193470-3 1.189596-2 4.106936-3 1.312973-2 3.211058-3 1.420053-2 2.602146-3 1.541085-2 2.050367-3 1.656874-2 1.623463-3 1.806979-2 1.181840-3 1.945936-2 8.542190-4 2.119976-2 5.165123-4 2.211918-2 3.636920-4 2.302827-2 2.306233-4 2.390674-2 1.160419-4 2.443303-2 5.328299-5 2.491660-2-9.176525-7 2.541583-2-5.363918-5 2.600160-2-1.116999-4 2.711216-2-2.115942-4 2.812734-2-2.927576-4 3.008079-2-4.264391-4 3.269616-2-5.690961-4 3.645855-2-7.232321-4 4.180097-2-8.747961-4 4.965735-2-1.015246-3 6.221452-2-1.139085-3 8.443681-2-1.238477-3 1.357342-1-1.310883-3 3.446226-1-1.349482-3 1.070165+0-1.355835-3 3.231848+0-1.356489-3 9.760024+0-1.356561-3 1.000000+1-1.356540-3 1 6000 7 0 1.201120+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 5.063257-5 1.086769-6 7.172930-5 1.125000-6 8.324650-5 1.155754-6 9.268135-5 1.191871-6 1.050139-4 1.267527-6 1.360769-4 1.307137-6 1.542209-4 1.347985-6 1.752985-4 1.390109-6 1.999982-4 1.423828-6 2.220186-4 1.478349-6 2.594191-4 1.524547-6 2.957580-4 1.601807-6 3.674938-4 1.671987-6 4.409965-4 1.724236-6 5.046360-4 1.802032-6 6.153136-4 1.890987-6 7.591546-4 1.950081-6 8.721561-4 2.048000-6 1.091929-3 2.205507-6 1.520201-3 2.345505-6 2.014639-3 2.494390-6 2.689503-3 2.652725-6 3.619496-3 2.820256-6 4.908132-3 2.981672-6 6.527119-3 3.133157-6 8.486935-3 3.205368-6 9.604874-3 3.343091-6 1.212956-2 3.408741-6 1.354538-2 3.595563-6 1.857044-2 3.717102-6 2.279255-2 3.819385-6 2.703079-2 3.920918-6 3.211268-2 4.016105-6 3.776509-2 4.105342-6 4.406419-2 4.196260-6 5.167704-2 4.267434-6 5.859996-2 4.340963-6 6.693531-2 4.409897-6 7.603307-2 4.474523-6 8.594561-2 4.535109-6 9.670293-2 4.592129-6 1.083871-1 4.645159-6 1.208679-1 4.695080-6 1.343888-1 4.741882-6 1.489846-1 4.785758-6 1.647013-1 4.826892-6 1.815579-1 4.865456-6 1.995777-1 4.901609-6 2.188312-1 4.935502-6 2.394162-1 4.967278-6 2.614241-1 4.997067-6 2.849361-1 5.024994-6 3.100184-1 5.051176-6 3.367168-1 5.081138-6 3.718341-1 5.098733-6 3.951815-1 5.120306-6 4.271321-1 5.140531-6 4.610446-1 5.159492-6 4.970312-1 5.177268-6 5.351994-1 5.193933-6 5.756509-1 5.209556-6 6.184791-1 5.224203-6 6.637709-1 5.237934-6 7.116143-1 5.263681-6 8.191529-1 5.286209-6 9.392641-1 5.305921-6 1.073754+0 5.323169-6 1.225028+0 5.338261-6 1.395622+0 5.351466-6 1.587322+0 5.363021-6 1.800292+0 5.373132-6 2.032652+0 5.381978-6 2.280654+0 5.389719-6 2.539275+0 5.396493-6 2.802954+0 5.402419-6 3.066255+0 5.407605-6 3.324336+0 5.416680-6 3.845198+0 5.432420-6 4.987367+0 5.445202-6 6.166656+0 5.458386-6 7.634974+0 5.467625-6 8.812957+0 5.470704-6 9.230953+0 5.481130-6 1.072807+1 5.485779-6 1.142983+1 5.497503-6 1.325849+1 5.502109-6 1.398660+1 5.510932-6 1.536720+1 5.515509-6 1.606402+1 5.519905-6 1.671278+1 5.524302-6 1.733513+1 5.530583-6 1.816617+1 5.535392-6 1.874645+1 5.542265-6 1.947502+1 5.548616-6 2.002698+1 5.551101-6 2.020799+1 5.557801-6 2.059029+1 5.564501-6 2.080951+1 5.567252-6 2.085033+1 5.573907-6 2.082807+1 5.580069-6 2.065435+1 5.583238-6 2.050837+1 5.589777-6 2.008946+1 5.594776-6 1.966690+1 5.605118-6 1.853846+1 5.611111-6 1.774799+1 5.618098-6 1.672365+1 5.622080-6 1.609977+1 5.627428-6 1.522610+1 5.631522-6 1.453626+1 5.637374-6 1.353010+1 5.643487-6 1.246790+1 5.651597-6 1.106734+1 5.657459-6 1.007800+1 5.659972-6 9.663023+0 5.665834-6 8.721224+0 5.671696-6 7.822874+0 5.680141-6 6.617759+0 5.686450-6 5.792732+0 5.688820-6 5.500307+0 5.695930-6 4.681464+0 5.699921-6 4.260331+0 5.705908-6 3.679966+0 5.712575-6 3.104196+0 5.716083-6 2.829970+0 5.724181-6 2.268290+0 5.729765-6 1.935329+0 5.735305-6 1.645113+0 5.740801-6 1.393454+0 5.746255-6 1.176307+0 5.751677-6 9.894912-1 5.757056-6 8.298548-1 5.762393-6 6.940624-1 5.767689-6 5.790690-1 5.772943-6 4.821220-1 5.778157-6 4.007541-1 5.788461-6 2.762344-1 5.798606-6 1.909124-1 5.803618-6 1.593519-1 5.808592-6 1.336465-1 5.813527-6 1.128361-1 5.818423-6 9.609666-2 5.823281-6 8.272425-2 5.828101-6 7.211901-2 5.832883-6 6.377173-2 5.837628-6 5.725164-2 5.842336-6 5.219567-2 5.847007-6 4.829915-2 5.851642-6 4.530766-2 5.858522-6 4.206738-2 5.867558-6 3.924171-2 5.875346-6 3.751105-2 5.885197-6 3.563930-2 5.895445-6 3.360348-2 5.903924-6 3.166317-2 5.912271-6 2.948292-2 5.920521-6 2.709313-2 5.928642-6 2.457803-2 5.936635-6 2.202687-2 5.944504-6 1.952710-2 5.952250-6 1.715541-2 5.959875-6 1.497327-2 5.974886-6 1.131735-2 5.989429-6 8.787197-3 6.003517-6 7.389561-3 6.017164-6 7.028674-3 6.030385-6 7.566723-3 6.056172-6 1.088023-2 6.080016-6 1.624630-2 6.102531-6 2.303246-2 6.144744-6 3.957102-2 6.181682-6 5.764403-2 6.246322-6 9.676961-2 6.371292-6 1.952293-1 6.440964-6 2.646896-1 6.488525-6 3.206440-1 6.536086-6 3.847849-1 6.583646-6 4.583246-1 6.647061-6 5.739704-1 6.768911-6 8.743845-1 6.831478-6 1.086841+0 6.886469-6 1.322286+0 6.911414-6 1.448831+0 6.934801-6 1.581251+0 6.978650-6 1.873763+0 7.017018-6 2.191483+0 7.050590-6 2.535329+0 7.079965-6 2.906943+0 7.105669-6 3.308972+0 7.128160-6 3.745004+0 7.147839-6 4.218462+0 7.165058-6 4.730780+0 7.180125-6 5.279857+0 7.193309-6 5.859605+0 7.204845-6 6.460665+0 7.214938-6 7.071807+0 7.223770-6 7.681457+0 7.239226-6 8.941795+0 7.250818-6 1.007006+1 7.278259-6 1.345783+1 7.301308-6 1.713256+1 7.316429-6 1.992659+1 7.321469-6 2.091447+1 7.331885-6 2.302545+1 7.339402-6 2.459081+1 7.349843-6 2.679026+1 7.357334-6 2.836122+1 7.361299-6 2.918223+1 7.373193-6 3.156358+1 7.380070-6 3.285769+1 7.386635-6 3.401522+1 7.393200-6 3.508049+1 7.401606-6 3.628477+1 7.411045-6 3.738755+1 7.418928-6 3.807873+1 7.427798-6 3.858053+1 7.438031-6 3.877061+1 7.445877-6 3.862236+1 7.450220-6 3.842907+1 7.457575-6 3.792190+1 7.465490-6 3.712889+1 7.472175-6 3.626802+1 7.478855-6 3.524341+1 7.486235-6 3.393579+1 7.493294-6 3.253091+1 7.501282-6 3.078523+1 7.508722-6 2.903764+1 7.512161-6 2.819790+1 7.520391-6 2.612785+1 7.528173-6 2.411956+1 7.535629-6 2.217856+1 7.540074-6 2.102502+1 7.546426-6 1.939354+1 7.553062-6 1.772472+1 7.563559-6 1.519367+1 7.571685-6 1.335284+1 7.578585-6 1.188535+1 7.583299-6 1.093806+1 7.590458-6 9.589358+0 7.601257-6 7.768690+0 7.609067-6 6.614004+0 7.620337-6 5.183530+0 7.626124-6 4.553090+0 7.637173-6 3.533225+0 7.649135-6 2.677478+0 7.657286-6 2.225891+0 7.662092-6 2.004433+0 7.666255-6 1.837331+0 7.668931-6 1.741356+0 7.673648-6 1.592755+0 7.677696-6 1.484871+0 7.681682-6 1.395225+0 7.685605-6 1.321980+0 7.689466-6 1.263473+0 7.697069-6 1.184348+0 7.704434-6 1.148555+0 7.711569-6 1.147534+0 7.718481-6 1.174407+0 7.731874-6 1.293370+0 7.744429-6 1.472439+0 7.756199-6 1.690330+0 7.844477-6 4.645544+0 7.866547-6 5.824245+0 7.883099-6 6.867179+0 7.904824-6 8.467997+0 7.918789-6 9.642472+0 7.932755-6 1.092810+1 7.943120-6 1.194839+1 7.971806-6 1.499407+1 7.984654-6 1.641238+1 7.991332-6 1.714758+1 8.004211-6 1.853864+1 8.013301-6 1.948149+1 8.021866-6 2.032613+1 8.030431-6 2.111680+1 8.035914-6 2.158979+1 8.044139-6 2.224443+1 8.052364-6 2.282708+1 8.061561-6 2.338710+1 8.073631-6 2.397027+1 8.085271-6 2.437272+1 8.100055-6 2.468445+1 8.115841-6 2.484378+1 8.132931-6 2.496480+1 8.150021-6 2.526120+1 8.156735-6 2.548902+1 8.169553-6 2.620265+1 8.173019-6 2.647479+1 8.179085-6 2.704949+1 8.183635-6 2.757245+1 8.190459-6 2.852485+1 8.197283-6 2.970545+1 8.201141-6 3.048579+1 8.207893-6 3.206937+1 8.212956-6 3.345633+1 8.220552-6 3.589321+1 8.228147-6 3.880624+1 8.235529-6 4.214908+1 8.242911-6 4.605476+1 8.250681-6 5.084266+1 8.258452-6 5.640252+1 8.267210-6 6.370212+1 8.275487-6 7.172196+1 8.284882-6 8.230362+1 8.324067-6 1.478056+2 8.344128-6 1.983659+2 8.360520-6 2.503085+2 8.375073-6 3.053464+2 8.378907-6 3.213136+2 8.405743-6 4.506737+2 8.416043-6 5.083292+2 8.429622-6 5.905197+2 8.439052-6 6.511923+2 8.455465-6 7.621183+2 8.463224-6 8.160552+2 8.470629-6 8.678785+2 8.481275-6 9.420570+2 8.490137-6 1.002601+3 8.499354-6 1.063423+3 8.509431-6 1.126233+3 8.518378-6 1.177755+3 8.528264-6 1.228922+3 8.531174-6 1.242677+3 8.543297-6 1.292743+3 8.552216-6 1.321447+3 8.563150-6 1.346362+3 8.568616-6 1.354366+3 8.585447-6 1.359789+3 8.603416-6 1.333736+3 8.613820-6 1.304429+3 8.627578-6 1.251296+3 8.637014-6 1.206546+3 8.647210-6 1.151805+3 8.654503-6 1.109267+3 8.665199-6 1.042880+3 8.676085-6 9.718464+2 8.689294-6 8.831540+2 8.697413-6 8.283327+2 8.706303-6 7.688111+2 8.719951-6 6.798669+2 8.726005-6 6.417831+2 8.738776-6 5.650218+2 8.745578-6 5.263915+2 8.774871-6 3.804137+2 8.792639-6 3.087554+2 8.840826-6 1.731054+2 8.851909-6 1.520388+2 8.863672-6 1.329518+2 8.875940-6 1.161685+2 8.882678-6 1.081377+2 8.892184-6 9.806724+1 8.901684-6 8.930396+1 8.912803-6 8.047123+1 8.924943-6 7.230879+1 8.936637-6 6.566129+1 8.948202-6 6.005341+1 8.960851-6 5.482352+1 8.970830-6 5.124822+1 8.983423-6 4.730713+1 8.996966-6 4.365408+1 9.011652-6 4.024588+1 9.022793-6 3.797471+1 9.034790-6 3.578104+1 9.053233-6 3.283116+1 9.076820-6 2.965299+1 9.101226-6 2.690755+1 9.125870-6 2.457000+1 9.153696-6 2.234242+1 9.177613-6 2.070728+1 9.206115-6 1.903032+1 9.242137-6 1.724886+1 9.277878-6 1.577427+1 9.313339-6 1.453714+1 9.348523-6 1.348731+1 9.383432-6 1.258797+1 9.418069-6 1.181152+1 9.452435-6 1.113666+1 9.486532-6 1.054649+1 9.521274-6 1.001417+1 9.587497-6 9.156348+0 9.653582-6 8.461435+0 9.718634-6 7.897972+0 9.782670-6 7.434828+0 9.845705-6 7.049723+0 9.912891-6 6.701681+0 9.984668-6 6.387453+0 1.002896-5 6.218589+0 1.009233-5 6.005457+0 1.020467-5 5.693650+0 1.031755-5 5.444862+0 1.044136-5 5.227779+0 1.054084-5 5.085571+0 1.063547-5 4.972770+0 1.073489-5 4.874915+0 1.083927-5 4.790419+0 1.092944-5 4.728804+0 1.110529-5 4.631483+0 1.130100-5 4.551817+0 1.143365-5 4.511404+0 1.166514-5 4.462986+0 1.198408-5 4.425678+0 1.245837-5 4.413669+0 1.381691-5 4.437150+0 1.422855-5 4.417253+0 1.442907-5 4.382889+0 1.457614-5 4.329702+0 1.471324-5 4.262153+0 1.476327-5 4.253381+0 1.481397-5 4.274986+0 1.483220-5 4.294152+0 1.487648-5 4.374299+0 1.488690-5 4.401108+0 1.492336-5 4.521573+0 1.496894-5 4.732563+0 1.500540-5 4.946157+0 1.509946-5 5.596168+0 1.514214-5 5.874682+0 1.517860-5 6.069880+0 1.521506-5 6.208755+0 1.522418-5 6.233416+0 1.525153-5 6.282005+0 1.527431-5 6.293436+0 1.530622-5 6.267430+0 1.532445-5 6.232701+0 1.536091-5 6.127602+0 1.539738-5 5.987764+0 1.554323-5 5.366343+0 1.558288-5 5.232252+0 1.562073-5 5.125437+0 1.569748-5 4.964309+0 1.592838-5 4.714940+0 1.599373-5 4.688810+0 1.607247-5 4.707934+0 1.611588-5 4.750941+0 1.615120-5 4.805030+0 1.621364-5 4.939390+0 1.634270-5 5.282972+0 1.639087-5 5.385124+0 1.642942-5 5.441258+0 1.646613-5 5.470512+0 1.650550-5 5.476383+0 1.656455-5 5.445967+0 1.670233-5 5.325309+0 1.678107-5 5.302277+0 1.682050-5 5.308477+0 1.691422-5 5.352441+0 1.699681-5 5.399222+0 1.709137-5 5.441168+0 1.752259-5 5.551113+0 1.797682-5 5.683913+0 1.872500-5 5.919933+0 2.065527-5 6.491187+0 2.213095-5 6.906674+0 2.404655-5 7.405790+0 2.615171-5 7.906636+0 2.884294-5 8.461475+0 3.108136-5 8.867514+0 3.338944-5 9.224939+0 3.587301-5 9.553708+0 3.836464-5 9.829206+0 4.259661-5 1.021377+1 4.611041-5 1.044951+1 4.908837-5 1.061559+1 5.249963-5 1.077296+1 5.973790-5 1.099627+1 6.814248-5 1.114734+1 7.823804-5 1.122042+1 8.878605-5 1.120297+1 1.005773-4 1.110352+1 1.130122-4 1.093196+1 1.255759-4 1.069493+1 1.330481-4 1.052755+1 1.394037-4 1.036991+1 1.457685-4 1.020080+1 1.548207-4 9.928503+0 1.634094-4 9.645880+0 1.726684-4 9.300886+0 1.817823-4 8.918541+0 1.917304-4 8.444328+0 2.001686-4 7.985318+0 2.089296-4 7.445614+0 2.158301-4 6.963807+0 2.229602-4 6.397342+0 2.292917-4 5.830386+0 2.346102-4 5.297198+0 2.383740-4 4.881593+0 2.419314-4 4.456521+0 2.449581-4 4.065698+0 2.479177-4 3.654346+0 2.502115-4 3.314519+0 2.526608-4 2.932019+0 2.548719-4 2.593427+0 2.565618-4 2.394194+0 2.573852-4 2.334825+0 2.591518-4 2.308085+0 2.610641-4 2.411689+0 2.623525-4 2.538812+0 2.635239-4 2.691651+0 2.646264-4 2.874231+0 2.655571-4 3.066357+0 2.664693-4 3.299726+0 2.672543-4 3.548580+0 2.680818-4 3.877352+0 2.686611-4 4.163100+0 2.694585-4 4.663047+0 2.701594-4 5.248400+0 2.707753-4 5.926278+0 2.713167-4 6.696696+0 2.718077-4 7.581958+0 2.720084-4 8.006200+0 2.724131-4 8.991626+0 2.727673-4 1.001792+1 2.730771-4 1.106115+1 2.733483-4 1.209907+1 2.737931-4 1.408670+1 2.745161-4 1.819018+1 2.755176-4 2.597769+1 2.759344-4 3.001006+1 2.764425-4 3.556139+1 2.766119-4 3.756127+1 2.769770-4 4.210690+1 2.773741-4 4.737857+1 2.779669-4 5.572516+1 2.781998-4 5.910192+1 2.786445-4 6.558481+1 2.789885-4 7.053691+1 2.793220-4 7.518695+1 2.796660-4 7.973537+1 2.799995-4 8.381043+1 2.803063-4 8.719464+1 2.806454-4 9.044674+1 2.807441-4 9.128605+1 2.810679-4 9.367045+1 2.814026-4 9.549499+1 2.815760-4 9.616957+1 2.819435-4 9.696304+1 2.821527-4 9.702177+1 2.827952-4 9.542548+1 2.831042-4 9.373899+1 2.835218-4 9.059427+1 2.838342-4 8.765863+1 2.840970-4 8.485488+1 2.843782-4 8.156723+1 2.846940-4 7.758821+1 2.849577-4 7.408852+1 2.852967-4 6.943460+1 2.856585-4 6.438146+1 2.860661-4 5.871952+1 2.863925-4 5.430337+1 2.870004-4 4.658877+1 2.879898-4 3.608681+1 2.882218-4 3.405262+1 2.885310-4 3.160331+1 2.889214-4 2.893118+1 2.892764-4 2.689016+1 2.894894-4 2.583271+1 2.897553-4 2.467681+1 2.900167-4 2.370545+1 2.901924-4 2.313715+1 2.903796-4 2.260128+1 2.906277-4 2.199202+1 2.910114-4 2.125010+1 2.913721-4 2.073965+1 2.918347-4 2.029434+1 2.922158-4 2.006233+1 2.927994-4 1.987020+1 2.936041-4 1.979266+1 2.964100-4 1.982160+1 3.002547-4 1.971385+1 3.032500-4 1.972314+1 3.061447-4 1.981149+1 3.104024-4 2.006684+1 3.121866-4 2.021144+1 3.374406-4 2.272983+1 3.423823-4 2.317720+1 3.511884-4 2.387527+1 3.589101-4 2.437007+1 3.684112-4 2.484058+1 3.810631-4 2.533100+1 4.010158-4 2.592260+1 4.312375-4 2.649575+1 4.642887-4 2.696430+1 5.053049-4 2.727306+1 5.547389-4 2.733123+1 6.130774-4 2.720257+1 6.851679-4 2.689510+1 7.200956-4 2.667751+1 9.352477-4 2.508089+1 1.190642-3 2.325266+1 1.322180-3 2.227828+1 1.418371-3 2.161977+1 1.633449-3 2.017633+1 1.876378-3 1.858940+1 2.046616-3 1.756227+1 2.250852-3 1.640449+1 2.494751-3 1.513426+1 2.761671-3 1.386355+1 3.056170-3 1.261405+1 3.331882-3 1.157600+1 3.759558-3 1.019630+1 4.313279-3 8.756033+0 5.240664-3 6.994308+0 8.687415-3 3.869663+0 1.068879-2 3.029700+0 1.207466-2 2.610991+0 1.348720-2 2.268279+0 1.486181-2 1.994646+0 1.652328-2 1.722274+0 1.820653-2 1.496879+0 2.021599-2 1.278495+0 2.271352-2 1.065516+0 2.561165-2 8.772995-1 2.957978-2 6.898567-1 3.494423-2 5.182776-1 4.194884-2 3.757719-1 4.958245-2 2.781291-1 6.023131-2 1.945078-1 7.343899-2 1.341005-1 9.220517-2 8.683077-2 1.190566-1 5.288922-2 1.682815-1 2.679898-2 2.801497-1 9.749170-3 7.629569-1 1.319868-3 2.341267+0 1.402424-4 7.070513+0 1.537822-5 2.135261+1 1.686199-6 6.448384+1 1.848882-7 1.947381+2 2.027259-8 5.880996+2 2.222845-9 1.995262+3 1.93113-10 6.309573+3 1.93113-11 1.995262+4 1.93113-12 6.309573+4 1.93113-13 1.000000+5 7.68796-14 1 6000 7 7 1.201120+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 6000 7 0 1.201120+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.821900-7 1.258900-6 4.472300-7 1.584900-6 7.088200-7 1.995300-6 1.123400-6 2.511900-6 1.780500-6 3.162300-6 2.821800-6 3.981100-6 4.472300-6 5.011900-6 7.088000-6 6.309600-6 1.123400-5 7.943300-6 1.780400-5 1.000000-5 2.821700-5 1.258900-5 4.472100-5 1.584900-5 7.087600-5 1.995300-5 1.123300-4 2.511900-5 1.780200-4 3.162300-5 2.821400-4 3.981100-5 4.471400-4 5.011900-5 7.086300-4 6.309600-5 1.123000-3 7.943300-5 1.779400-3 1.000000-4 2.818100-3 1.258900-4 4.463200-3 1.584900-4 7.063100-3 1.995300-4 1.117300-2 2.511900-4 1.764700-2 3.162300-4 2.787800-2 3.981100-4 4.403300-2 5.011900-4 6.902400-2 6.309600-4 1.076100-1 7.943300-4 1.660300-1 1.000000-3 2.522500-1 1.258900-3 3.764600-1 1.584900-3 5.460600-1 1.995300-3 7.694900-1 2.511900-3 1.043500+0 3.162300-3 1.355900+0 3.981100-3 1.682400+0 5.011900-3 1.992000+0 6.309600-3 2.263100+0 7.943300-3 2.495900+0 1.000000-2 2.703200+0 1.258900-2 2.874500+0 1.584900-2 3.059000+0 1.995300-2 3.189600+0 2.511900-2 3.274100+0 3.162300-2 3.308800+0 3.981100-2 3.298200+0 5.011900-2 3.249700+0 6.309600-2 3.167700+0 7.943300-2 3.056800+0 1.000000-1 2.923200+0 1.258900-1 2.771200+0 1.584900-1 2.605800+0 1.995300-1 2.431900+0 2.511900-1 2.253900+0 3.162300-1 2.076000+0 3.981100-1 1.901300+0 5.011900-1 1.731800+0 6.309600-1 1.568900+0 7.943300-1 1.413800+0 1.000000+0 1.266800+0 1.258900+0 1.128400+0 1.584900+0 9.991300-1 1.995300+0 8.791700-1 2.511900+0 7.688500-1 3.162300+0 6.683100-1 3.981100+0 5.775400-1 5.011900+0 4.963500-1 6.309600+0 4.243700-1 7.943300+0 3.610900-1 1.000000+1 3.059000-1 1.258900+1 2.581100-1 1.584900+1 2.169900-1 1.995300+1 1.818200-1 2.511900+1 1.518900-1 3.162300+1 1.265500-1 3.981100+1 1.051800-1 5.011900+1 8.722400-2 6.309600+1 7.219000-2 7.943300+1 5.963800-2 1.000000+2 4.918700-2 1.258900+2 4.050700-2 1.584900+2 3.331200-2 1.995300+2 2.736000-2 2.511900+2 2.244500-2 3.162300+2 1.839300-2 3.981100+2 1.505800-2 5.011900+2 1.231600-2 6.309600+2 1.006400-2 7.943300+2 8.217400-3 1.000000+3 6.704400-3 1.258900+3 5.466000-3 1.584900+3 4.453400-3 1.995300+3 3.626000-3 2.511900+3 2.950500-3 3.162300+3 2.399500-3 3.981100+3 1.950300-3 5.011900+3 1.584300-3 6.309600+3 1.286400-3 7.943300+3 1.044000-3 1.000000+4 8.469300-4 1.258900+4 6.867400-4 1.584900+4 5.566100-4 1.995300+4 4.509600-4 2.511900+4 3.652200-4 3.162300+4 2.956700-4 3.981100+4 2.392800-4 5.011900+4 1.935800-4 6.309600+4 1.565500-4 7.943300+4 1.265700-4 1.000000+5 1.023000-4 1 6000 7 7 1.201120+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159544-4 3.981072-4 3.976740-4 5.011872-4 5.005024-4 6.309573-4 6.298747-4 7.943282-4 7.926195-4 1.000000-3 9.973081-4 1.258925-3 1.254684-3 1.584893-3 1.578263-3 1.995262-3 1.984901-3 2.511886-3 2.495751-3 3.162278-3 3.137347-3 3.981072-3 3.942694-3 5.011872-3 4.953104-3 6.309573-3 6.219838-3 7.943282-3 7.806020-3 1.000000-2 9.788963-3 1.258925-2 1.226221-2 1.584893-2 1.534490-2 1.995262-2 1.917559-2 2.511886-2 2.392793-2 3.162278-2 2.980563-2 3.981072-2 3.705161-2 5.011872-2 4.594315-2 6.309573-2 5.681405-2 7.943282-2 7.004069-2 1.000000-1 8.605306-2 1.258925-1 1.053633-1 1.584893-1 1.285458-1 1.995262-1 1.562708-1 2.511886-1 1.893079-1 3.162278-1 2.285476-1 3.981072-1 2.749842-1 5.011872-1 3.298131-1 6.309573-1 3.944087-1 7.943282-1 4.704279-1 1.000000+0 5.598806-1 1.258925+0 6.652442-1 1.584893+0 7.895762-1 1.995262+0 9.366569-1 2.511886+0 1.111168+0 3.162278+0 1.318857+0 3.981072+0 1.566741+0 5.011872+0 1.863488+0 6.309573+0 2.219624+0 7.943282+0 2.648096+0 1.000000+1 3.164655+0 1.258925+1 3.788659+0 1.584893+1 4.543774+0 1.995262+1 5.458905+0 2.511886+1 6.569633+0 3.162278+1 7.919567+0 3.981072+1 9.562007+0 5.011872+1 1.156276+1 6.309573+1 1.400236+1 7.943282+1 1.697995+1 1.000000+2 2.061731+1 1.258925+2 2.506456+1 1.584893+2 3.050618+1 1.995262+2 3.716937+1 2.511886+2 4.533449+1 3.162278+2 5.534703+1 3.981072+2 6.763116+1 5.011872+2 8.271462+1 6.309573+2 1.012442+2 7.943282+2 1.240202+2 1.000000+3 1.520295+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 6000 7 9 1.201120+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090665-8 7.943282-5 1.728374-8 1.000000-4 2.738780-8 1.258925-4 4.340136-8 1.584893-4 6.876308-8 1.995262-4 1.089466-7 2.511886-4 1.725652-7 3.162278-4 2.733906-7 3.981072-4 4.331408-7 5.011872-4 6.848465-7 6.309573-4 1.082600-6 7.943282-4 1.708693-6 1.000000-3 2.691935-6 1.258925-3 4.241193-6 1.584893-3 6.630201-6 1.995262-3 1.036096-5 2.511886-3 1.613576-5 3.162278-3 2.493037-5 3.981072-3 3.837743-5 5.011872-3 5.876855-5 6.309573-3 8.973568-5 7.943282-3 1.372619-4 1.000000-2 2.110368-4 1.258925-2 3.270400-4 1.584893-2 5.040309-4 1.995262-2 7.770339-4 2.511886-2 1.190931-3 3.162278-2 1.817144-3 3.981072-2 2.759106-3 5.011872-2 4.175571-3 6.309573-2 6.281681-3 7.943282-2 9.392135-3 1.000000-1 1.394694-2 1.258925-1 2.052925-2 1.584893-1 2.994352-2 1.995262-1 4.325543-2 2.511886-1 6.188073-2 3.162278-1 8.768017-2 3.981072-1 1.231230-1 5.011872-1 1.713741-1 6.309573-1 2.365486-1 7.943282-1 3.239003-1 1.000000+0 4.401194-1 1.258925+0 5.936812-1 1.584893+0 7.953170-1 1.995262+0 1.058605+0 2.511886+0 1.400718+0 3.162278+0 1.843421+0 3.981072+0 2.414331+0 5.011872+0 3.148384+0 6.309573+0 4.089949+0 7.943282+0 5.295186+0 1.000000+1 6.835345+0 1.258925+1 8.800595+0 1.584893+1 1.130516+1 1.995262+1 1.449372+1 2.511886+1 1.854923+1 3.162278+1 2.370321+1 3.981072+1 3.024871+1 5.011872+1 3.855597+1 6.309573+1 4.909337+1 7.943282+1 6.245287+1 1.000000+2 7.938269+1 1.258925+2 1.008280+2 1.584893+2 1.279831+2 1.995262+2 1.623569+2 2.511886+2 2.058542+2 3.162278+2 2.608807+2 3.981072+2 3.304760+2 5.011872+2 4.184726+2 6.309573+2 5.297132+2 7.943282+2 6.703081+2 1.000000+3 8.479705+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 6000 7 0 1.201120+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 8.980000-6 8.801018+6 8.990000-6 8.800234+6 8.990000-6 1.319373+7 9.015711-6 1.318412+7 9.120108-6 1.316951+7 9.225714-6 1.313344+7 9.700000-6 1.294411+7 1.020000-5 1.266680+7 1.023293-5 1.264764+7 1.083927-5 1.225245+7 1.150000-5 1.177838+7 1.161449-5 1.169310+7 1.230269-5 1.118824+7 1.244515-5 1.108212+7 1.318257-5 1.054635+7 1.333521-5 1.043507+7 1.428894-5 9.771902+6 1.445440-5 9.659116+6 1.548817-5 8.992207+6 1.570000-5 8.859897+6 1.690000-5 8.158834+6 1.698244-5 8.112256+6 1.756000-5 7.792164+6 1.756000-5 8.668256+6 1.805000-5 8.479151+6 1.850000-5 8.312985+6 1.862087-5 8.266178+6 1.895000-5 8.140060+6 1.949845-5 7.937025+6 2.000000-5 7.759909+6 2.018366-5 7.695889+6 2.070000-5 7.510889+6 2.137962-5 7.278602+6 2.187762-5 7.115597+6 2.213095-5 7.030642+6 2.300000-5 6.749530+6 2.371374-5 6.532130+6 2.400000-5 6.443995+6 2.511886-5 6.115129+6 2.540973-5 6.033518+6 2.570396-5 5.951826+6 2.630268-5 5.786701+6 2.730000-5 5.525800+6 2.754229-5 5.465007+6 2.770000-5 5.424807+6 2.917427-5 5.068063+6 2.950000-5 4.993848+6 2.951209-5 4.991085+6 3.090295-5 4.682518+6 3.162278-5 4.533830+6 3.273407-5 4.311181+6 3.400000-5 4.076681+6 3.507519-5 3.887553+6 3.652000-5 3.652804+6 3.758374-5 3.489703+6 3.900000-5 3.288076+6 3.935501-5 3.239610+6 4.027170-5 3.118811+6 4.216965-5 2.888316+6 4.315191-5 2.777065+6 4.518559-5 2.565202+6 4.570882-5 2.514235+6 4.650000-5 2.439746+6 4.900000-5 2.223391+6 4.954502-5 2.179899+6 5.011872-5 2.135317+6 5.308844-5 1.922941+6 5.370318-5 1.882875+6 5.432503-5 1.843516+6 5.821032-5 1.621026+6 5.888437-5 1.586627+6 6.382635-5 1.361102+6 6.456542-5 1.331135+6 6.606934-5 1.272802+6 6.918310-5 1.164081+6 7.328245-5 1.039201+6 7.413102-5 1.015857+6 7.500000-5 9.927407+5 8.128305-5 8.443556+5 8.413951-5 7.867378+5 8.511380-5 7.684358+5 8.810489-5 7.159067+5 9.549926-5 6.051297+5 9.660509-5 5.908288+5 9.885531-5 5.625971+5 1.059254-4 4.857488+5 1.083927-4 4.621576+5 1.135011-4 4.184157+5 1.174898-4 3.883252+5 1.220000-4 3.574392+5 1.288250-4 3.171857+5 1.318257-4 3.015424+5 1.380384-4 2.720676+5 1.462177-4 2.393316+5 1.479108-4 2.332708+5 1.566751-4 2.047470+5 1.659587-4 1.797941+5 1.678804-4 1.750952+5 1.862087-4 1.380459+5 1.949845-4 1.239779+5 2.089296-4 1.055749+5 2.400000-4 7.606687+4 2.818383-4 5.179434+4 2.910100-4 4.797982+4 2.910100-4 1.006892+6 2.917427-4 9.959429+5 2.940000-4 9.631156+5 2.970000-4 9.279842+5 3.000000-4 9.002818+5 3.040000-4 8.715975+5 3.100000-4 8.389909+5 3.162278-4 8.115750+5 3.198895-4 7.961213+5 3.280000-4 7.635278+5 3.350000-4 7.341847+5 3.430000-4 6.997020+5 3.507519-4 6.655604+5 3.550000-4 6.478487+5 3.589219-4 6.309376+5 3.630781-4 6.136897+5 4.000000-4 4.860618+5 4.027170-4 4.781972+5 4.073803-4 4.651126+5 4.518559-4 3.623435+5 4.570882-4 3.524209+5 4.600000-4 3.470646+5 4.623810-4 3.426145+5 4.954502-4 2.882800+5 5.188000-4 2.559535+5 5.248075-4 2.484492+5 5.800000-4 1.918640+5 6.095369-4 1.684549+5 6.606934-4 1.363740+5 7.328245-4 1.032211+5 7.413102-4 1.000741+5 7.585776-4 9.406484+4 8.317638-4 7.317512+4 8.413951-4 7.091382+4 9.015711-4 5.874007+4 9.120108-4 5.688925+4 9.225714-4 5.509673+4 1.023293-3 4.130350+4 1.047129-3 3.873986+4 1.059254-3 3.751836+4 1.161449-3 2.893824+4 1.188502-3 2.711944+4 1.202264-3 2.625335+4 1.244515-3 2.381574+4 1.333521-3 1.953666+4 1.364583-3 1.828854+4 1.396368-3 1.712018+4 1.513561-3 1.358579+4 1.548817-3 1.270461+4 1.640590-3 1.074371+4 1.757924-3 8.784664+3 1.819701-3 7.943494+3 1.927525-3 6.702331+3 2.187762-3 4.610955+3 2.264644-3 4.158726+3 2.344229-3 3.750579+3 2.660725-3 2.568077+3 2.691535-3 2.480172+3 2.884032-3 2.012177+3 2.917427-3 1.943258+3 3.235937-3 1.420069+3 3.273407-3 1.371401+3 3.630781-3 9.985488+2 3.672823-3 9.639600+2 3.935501-3 7.801839+2 4.027170-3 7.270440+2 4.841724-3 4.109367+2 5.011872-3 3.692232+2 6.000000-3 2.101258+2 6.095369-3 1.999925+2 6.237348-3 1.860678+2 7.244360-3 1.158429+2 7.444800-3 1.062530+2 7.498942-3 1.038416+2 7.852356-3 8.974534+1 9.015711-3 5.767940+1 9.332543-3 5.164439+1 9.440609-3 4.977550+1 1.000000-2 4.139790+1 1.161449-2 2.552726+1 1.188502-2 2.369744+1 1.230269-2 2.119445+1 1.288250-2 1.826349+1 1.531087-2 1.040326+1 1.566751-2 9.650859+0 1.698244-2 7.420881+0 1.717908-2 7.145432+0 2.018366-2 4.207684+0 2.317395-2 2.671982+0 2.754229-2 1.508794+0 3.235937-2 8.848899-1 3.427678-2 7.305154-1 3.935501-2 4.611114-1 4.216965-2 3.663258-1 4.518559-2 2.910243-1 5.432503-2 1.575533-1 5.495409-2 1.516136-1 5.688529-2 1.351048-1 6.918310-2 7.030015-2 6.998420-2 6.764991-2 8.317638-2 3.801294-2 9.440609-2 2.490876-2 9.772372-2 2.221442-2 1.000000-1 2.058212-2 1.135011-1 1.352887-2 1.273503-1 9.238471-3 1.303167-1 8.564949-3 1.380384-1 7.088232-3 1.479108-1 5.648906-3 1.566751-1 4.675406-3 1.678804-1 3.735751-3 1.862087-1 2.668783-3 1.905461-1 2.478868-3 1.995262-1 2.138625-3 2.065380-1 1.914591-3 2.137962-1 1.714027-3 2.213095-1 1.534472-3 2.290868-1 1.376023-3 2.317395-1 1.326930-3 2.398833-1 1.190021-3 2.511886-1 1.029192-3 2.540973-1 9.925026-4 2.630268-1 8.917711-4 2.660725-1 8.605480-4 2.754229-1 7.732856-4 2.884032-1 6.705429-4 2.951209-1 6.252269-4 2.985383-1 6.037300-4 3.019952-1 5.829932-4 3.235937-1 4.727025-4 3.273407-1 4.567803-4 3.349654-1 4.265265-4 3.548134-1 3.594394-4 3.589219-1 3.473456-4 3.715352-1 3.141488-4 3.845918-1 2.841598-4 3.935501-1 2.657750-4 3.981072-1 2.570336-4 4.120975-1 2.330400-4 4.168694-1 2.255602-4 4.315191-1 2.045308-4 4.365158-1 1.979662-4 4.518559-1 1.799330-4 4.731513-1 1.584448-4 4.786301-1 1.534864-4 4.897788-1 1.442755-4 4.954502-1 1.398794-4 5.128614-1 1.274962-4 5.248075-1 1.198559-4 5.308844-1 1.163139-4 5.432503-1 1.095407-4 5.559043-1 1.031719-4 5.754399-1 9.430632-5 5.956621-1 8.642900-5 6.095369-1 8.155424-5 6.165950-1 7.922097-5 6.237348-1 7.695446-5 6.456542-1 7.072222-5 6.606935-1 6.685688-5 6.683439-1 6.500420-5 6.760830-1 6.320284-5 6.998420-1 5.824575-5 7.079458-1 5.668395-5 7.328245-1 5.224537-5 7.585776-1 4.828354-5 8.000000-1 4.277371-5 8.035261-1 4.236384-5 8.222427-1 4.028115-5 8.709636-1 3.552066-5 9.015711-1 3.301883-5 9.549926-1 2.924092-5 1.000000+0 2.661378-5 1.071519+0 2.311270-5 1.135011+0 2.054961-5 1.161449+0 1.960581-5 1.174898+0 1.916654-5 1.202264+0 1.831897-5 1.273503+0 1.636035-5 1.288250+0 1.600770-5 1.380384+0 1.404963-5 1.396368+0 1.375975-5 1.500000+0 1.209038-5 1.513561+0 1.190676-5 1.566751+0 1.122978-5 1.621810+0 1.059129-5 1.640590+0 1.039624-5 1.717908+0 9.653242-6 1.778279+0 9.131046-6 1.798871+0 8.971017-6 1.883649+0 8.360042-6 1.949845+0 7.929273-6 2.065380+0 7.275683-6 2.187762+0 6.676912-6 2.238721+0 6.451440-6 2.344229+0 6.038606-6 2.483133+0 5.560430-6 2.540973+0 5.379934-6 2.660725+0 5.048388-6 2.851018+0 4.589815-6 2.917427+0 4.446407-6 3.054921+0 4.182179-6 3.311311+0 3.757735-6 3.388442+0 3.644577-6 3.548134+0 3.435666-6 3.890451+0 3.053756-6 4.000000+0 2.947165-6 4.216965+0 2.760635-6 4.623810+0 2.463673-6 4.786301+0 2.360741-6 5.069907+0 2.203288-6 5.623413+0 1.946239-6 5.821032+0 1.867402-6 6.165950+0 1.746686-6 6.918310+0 1.528484-6 7.328245+0 1.429828-6 7.852356+0 1.322643-6 8.609938+0 1.192317-6 9.120108+0 1.117468-6 1.035142+1 9.718319-7 1.174898+1 8.453094-7 1.202264+1 8.241427-7 1.216186+1 8.139900-7 1.364583+1 7.190968-7 1.603245+1 6.046600-7 1.640590+1 5.898714-7 1.659587+1 5.827504-7 1.949845+1 4.916268-7 2.371374+1 3.999899-7 2.426610+1 3.903997-7 2.454709+1 3.857713-7 2.917427+1 3.225796-7 3.758374+1 2.481891-7 3.935501+1 2.366365-7 4.000000+1 2.327367-7 5.248075+1 1.763199-7 6.309573+1 1.460756-7 6.531306+1 1.410114-7 6.760830+1 1.361656-7 1.047129+2 8.743818-8 1.258925+2 7.256632-8 1.303167+2 7.007348-8 1.348963+2 6.768362-8 2.089296+2 4.361091-8 5.011872+2 1.810922-8 5.188000+2 1.749173-8 5.370318+2 1.689752-8 8.317638+2 1.090680-8 3.162278+4 2.86346-10 3.273407+4 2.76620-10 3.388442+4 2.67229-10 1.000000+5 9.05505-11 1 6000 7 0 1.201120+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 8.980000-6 8.980000-6 1.756000-5 8.983334-6 1.756000-5 9.850169-6 2.000000-5 1.024506-5 2.300000-5 1.064753-5 2.630268-5 1.101686-5 3.162278-5 1.152195-5 3.758374-5 1.202805-5 4.650000-5 1.269684-5 5.432503-5 1.320093-5 5.888437-5 1.345712-5 6.606934-5 1.380771-5 7.500000-5 1.416888-5 8.511380-5 1.448954-5 9.885531-5 1.482940-5 1.174898-4 1.517772-5 1.380384-4 1.546805-5 1.678804-4 1.578558-5 1.949845-4 1.599246-5 2.400000-4 1.622853-5 2.910100-4 1.640857-5 2.910100-4 2.796192-5 7.413102-4 2.802179-5 1.135011-1 2.798496-5 1.000000+5 2.798494-5 1 6000 7 7 1.201120+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.980000-6 0.0 2.910100-4 0.0 2.910100-4 4.517846-7 3.040000-4 4.508906-7 3.589219-4 4.526722-7 7.585776-4 4.530051-7 2.917427-3 4.514535-7 3.427678-2 4.505319-7 1.000000+5 4.504140-7 1 6000 7 9 1.201120+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.980000-6 0.0 8.990000-6 1.000000-8 8.990000-6 6.670010-9 1.756000-5 8.576666-6 1.756000-5 7.709831-6 2.000000-5 9.754943-6 2.300000-5 1.235247-5 2.770000-5 1.654244-5 3.652000-5 2.458150-5 5.011872-5 3.717900-5 6.606934-5 5.226163-5 8.810489-5 7.353033-5 1.380384-4 1.225704-4 2.910100-4 2.746014-4 2.910100-4 2.625963-4 1.000000+5 1.000000+5 1 6000 7 0 1.201120+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 2.910100-4 9.589120+5 2.940000-4 9.163040+5 2.970000-4 8.823080+5 3.000000-4 8.557020+5 3.040000-4 8.284220+5 3.100000-4 7.978060+5 3.280000-4 7.275920+5 3.350000-4 7.000360+5 3.430000-4 6.674440+5 3.550000-4 6.181740+5 4.600000-4 3.314900+5 4.954502-4 2.753962+5 5.800000-4 1.832856+5 6.606934-4 1.302723+5 7.585776-4 8.982452+4 9.015711-4 5.605960+4 1.059254-3 3.578932+4 1.244515-3 2.270791+4 1.513561-3 1.294699+4 1.819701-3 7.566468+3 2.187762-3 4.390280+3 2.660725-3 2.444277+3 3.273407-3 1.304908+3 4.027170-3 6.916335+2 5.011872-3 3.511454+2 6.237348-3 1.769105+2 7.852356-3 8.530784+1 1.000000-2 3.934256+1 1.288250-2 1.735344+1 1.698244-2 7.049932+0 2.317395-2 2.538040+0 3.235937-2 8.404262-1 5.432503-2 1.496157-1 9.440609-2 2.364990-2 1.273503-1 8.771370-3 1.566751-1 4.439022-3 1.862087-1 2.533875-3 2.213095-1 1.456922-3 2.540973-1 9.423513-4 2.884032-1 6.366580-4 3.235937-1 4.488176-4 3.589219-1 3.297971-4 3.981072-1 2.440475-4 4.365158-1 1.879651-4 4.786301-1 1.457317-4 5.248075-1 1.138002-4 5.754399-1 8.954174-5 6.237348-1 7.306731-5 6.760830-1 6.001023-5 7.328245-1 4.960598-5 8.000000-1 4.061200-5 8.709636-1 3.372500-5 9.549926-1 2.776203-5 1.161449+0 1.861436-5 1.273503+0 1.553304-5 1.380384+0 1.333922-5 1.500000+0 1.147900-5 1.621810+0 1.005579-5 1.778279+0 8.669381-6 1.949845+0 7.528283-6 2.238721+0 6.125108-6 2.540973+0 5.107825-6 2.917427+0 4.221517-6 3.388442+0 3.460246-6 4.000000+0 2.798100-6 4.786301+0 2.241339-6 5.821032+0 1.772951-6 7.328245+0 1.357509-6 9.120108+0 1.060942-6 1.202264+1 7.824533-7 1.640590+1 5.600312-7 2.426610+1 3.706513-7 3.935501+1 2.246651-7 6.531306+1 1.338803-7 1.303167+2 6.653019-8 5.188000+2 1.660740-8 3.273407+4 2.62636-10 1.000000+5 8.59740-11 1 6000 7 0 1.201120+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 2.910100-4 2.854000-5 1.000000+5 2.854000-5 1 6000 7 7 1.201120+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.910100-4 4.743900-7 1.000000+5 4.743900-7 1 6000 7 9 1.201120+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.910100-4 2.619956-4 1.000000+5 1.000000+5 1 6000 7 0 1.201120+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.756000-5 8.760920+5 1.805000-5 9.409060+5 1.850000-5 9.949100+5 1.895000-5 1.044342+6 1.949845-5 1.098004+6 2.000000-5 1.141568+6 2.070000-5 1.193806+6 2.137962-5 1.236351+6 2.213095-5 1.274890+6 2.300000-5 1.309664+6 2.400000-5 1.338790+6 2.511886-5 1.360036+6 2.630268-5 1.372023+6 2.770000-5 1.375216+6 2.917427-5 1.368831+6 3.090295-5 1.352171+6 3.273407-5 1.326814+6 3.507519-5 1.286919+6 3.758374-5 1.238844+6 4.027170-5 1.184266+6 4.315191-5 1.124691+6 4.650000-5 1.056356+6 5.011872-5 9.850130+5 5.432503-5 9.065535+5 5.888437-5 8.276212+5 6.382635-5 7.495781+5 6.918310-5 6.734480+5 7.500000-5 6.002220+5 8.128305-5 5.312138+5 8.810489-5 4.667076+5 9.660509-5 3.994310+5 1.059254-4 3.393489+5 1.174898-4 2.804630+5 1.318257-4 2.252019+5 1.479108-4 1.795824+5 1.659587-4 1.422465+5 1.862087-4 1.118675+5 2.089296-4 8.733087+4 2.400000-4 6.425800+4 2.917427-4 4.130268+4 3.507519-4 2.703073+4 4.000000-4 1.983704+4 4.518559-4 1.477826+4 5.188000-4 1.050564+4 6.095369-4 6.999703+3 7.328245-4 4.360967+3 9.015711-4 2.542546+3 1.023293-3 1.814712+3 1.202264-3 1.172436+3 1.396368-3 7.759460+2 1.640590-3 4.935829+2 1.927525-3 3.116411+2 2.264644-3 1.953708+2 2.691535-3 1.175571+2 3.235937-3 6.785216+1 3.935501-3 3.754283+1 4.841724-3 1.992322+1 6.000000-3 1.025898+1 7.444800-3 5.220779+0 9.332543-3 2.551381+0 1.188502-2 1.176372+0 1.531087-2 5.185882-1 2.018366-2 2.105212-1 2.754229-2 7.572317-2 3.935501-2 2.320715-2 1.000000-1 1.038460-3 1.380384-1 3.576204-4 1.678804-1 1.884548-4 1.995262-1 1.078772-4 2.317395-1 6.692835-5 2.630268-1 4.498317-5 2.985383-1 3.045391-5 3.349654-1 2.151201-5 3.715352-1 1.584144-5 4.120975-1 1.175183-5 4.518559-1 9.073725-6 4.954502-1 7.053655-6 5.432503-1 5.523305-6 5.956621-1 4.358210-6 6.456542-1 3.565716-6 6.998420-1 2.937113-6 7.585776-1 2.434834-6 8.222427-1 2.032148-6 9.015711-1 1.666432-6 1.000000+0 1.343500-6 1.174898+0 9.682488-7 1.288250+0 8.086703-7 1.396368+0 6.950088-7 1.513561+0 6.014111-7 1.640590+0 5.250662-7 1.798871+0 4.531104-7 2.065380+0 3.672970-7 2.344229+0 3.048742-7 2.660725+0 2.548807-7 3.054921+0 2.111572-7 3.548134+0 1.734591-7 4.216965+0 1.393788-7 5.069907+0 1.112495-7 6.165950+0 8.818878-8 7.852356+0 6.677589-8 1.035142+1 4.906666-8 1.364583+1 3.630160-8 1.949845+1 2.481777-8 2.917427+1 1.628342-8 5.248075+1 8.901187-9 1.047129+2 4.415621-9 2.089296+2 2.201704-9 8.317638+2 5.50603-10 1.000000+5 4.57520-12 1 6000 7 0 1.201120+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.756000-5 1.756000-5 1.000000+5 1.756000-5 1 6000 7 9 1.201120+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.756000-5 0.0 1.000000+5 1.000000+5 1 6000 7 0 1.201120+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 8.990000-6 4.393500+6 9.015711-6 4.385900+6 9.225714-6 4.372900+6 9.700000-6 4.311200+6 1.020000-5 4.219600+6 1.083927-5 4.082500+6 1.161449-5 3.897200+6 1.244515-5 3.694800+6 1.333521-5 3.479000+6 1.445440-5 3.220300+6 1.570000-5 2.954800+6 1.698244-5 2.705000+6 1.862087-5 2.420500+6 2.018366-5 2.181400+6 2.187762-5 1.952000+6 2.371374-5 1.734900+6 2.540973-5 1.558500+6 2.730000-5 1.385200+6 2.950000-5 1.210300+6 3.162278-5 1.064800+6 3.400000-5 9.248300+5 3.652000-5 7.987600+5 3.935501-5 6.800100+5 4.216965-5 5.819800+5 4.570882-5 4.815000+5 4.954502-5 3.953200+5 5.370318-5 3.222800+5 5.888437-5 2.533900+5 6.606934-5 1.859300+5 7.413102-5 1.353900+5 8.413951-5 9.487600+4 9.549926-5 6.607700+4 1.083927-4 4.572500+4 1.220000-4 3.221000+4 1.380384-4 2.217300+4 1.566751-4 1.500900+4 1.949845-4 7.570000+3 2.818383-4 2.383400+3 3.162278-4 1.652700+3 3.589219-4 1.096600+3 4.027170-4 7.501600+2 4.570882-4 4.899200+2 5.188000-4 3.177600+2 7.413102-4 9.221800+1 8.317638-4 6.157500+1 9.120108-4 4.430000+1 1.023293-3 2.909200+1 1.161449-3 1.819900+1 1.333521-3 1.082600+1 1.513561-3 6.675970+0 1.757924-3 3.741934+0 2.344229-3 1.213435+0 2.917427-3 5.114121-1 3.672823-3 2.042997-1 4.841724-3 6.738527-2 6.095369-3 2.654006-2 7.498942-3 1.139678-2 9.440609-3 4.409544-3 1.230269-2 1.467742-3 1.717908-2 3.635676-4 3.427678-2 2.010403-5 4.518559-2 6.352709-6 5.688529-2 2.449378-6 6.998420-2 1.046085-6 8.317638-2 5.183535-7 9.772372-2 2.710288-7 1.135011-1 1.493931-7 1.303167-1 8.680171-8 1.479108-1 5.312233-8 1.678804-1 3.275019-8 1.905461-1 2.034719-8 2.137962-1 1.329504-8 2.398833-1 8.747199-9 2.660725-1 6.041239-9 2.951209-1 4.201905-9 3.235937-1 3.063475-9 3.589219-1 2.163133-9 3.935501-1 1.598316-9 4.315191-1 1.188154-9 4.731513-1 8.89423-10 5.128614-1 6.94862-10 5.559043-1 5.46526-10 6.095369-1 4.18472-10 6.683439-1 3.22913-10 7.328245-1 2.50996-10 8.035261-1 1.96642-10 9.015711-1 1.46144-10 9.549926-1 1.26799-10 1.000000+0 1.13810-10 1.071519+0 9.76344-11 1.135011+0 8.65158-11 1.202264+0 7.71325-11 1.288250+0 6.76699-11 1.396368+0 5.85327-11 1.566751+0 4.80624-11 1.717908+0 4.13082-11 1.883649+0 3.57556-11 2.187762+0 2.85618-11 2.483133+0 2.37874-11 2.851018+0 1.96352-11 3.311311+0 1.60759-11 3.890451+0 1.30635-11 4.623810+0 1.05390-11 5.623413+0 8.32585-12 6.918310+0 6.53791-12 8.609938+0 5.09978-12 1.174898+1 3.61686-12 1.603245+1 2.58741-12 2.371374+1 1.71154-12 3.758374+1 1.06194-12 6.309573+1 6.25083-13 1.258925+2 3.10555-13 5.011872+2 7.75016-14 3.162278+4 1.22556-15 1.000000+5 3.87570-16 1 6000 7 0 1.201120+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 8.990000-6 8.990000-6 1.000000+5 8.990000-6 1 6000 7 9 1.201120+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 8.990000-6 0.0 1.000000+5 1.000000+5 1 6000 7 0 1.201120+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 8.980000-6 8.801018+6 9.120108-6 8.790112+6 9.700000-6 8.632912+6 1.023293-5 8.435425+6 1.083927-5 8.169945+6 1.150000-5 7.855127+6 1.230269-5 7.460447+6 1.318257-5 7.032279+6 1.428894-5 6.515857+6 1.548817-5 5.995330+6 1.690000-5 5.438986+6 1.850000-5 4.878481+6 2.018366-5 4.359268+6 2.187762-5 3.901685+6 2.371374-5 3.466717+6 2.570396-5 3.056509+6 2.754229-5 2.726096+6 2.951209-5 2.416216+6 3.162278-5 2.127060+6 3.400000-5 1.847102+6 3.652000-5 1.595440+6 3.900000-5 1.385357+6 4.216965-5 1.162127+6 4.518559-5 9.884143+5 4.900000-5 8.112433+5 5.308844-5 6.628076+5 5.821032-5 5.214414+5 6.456542-5 3.951326+5 7.328245-5 2.790670+5 8.511380-5 1.832951+5 9.885531-5 1.193525+5 1.135011-4 7.966368+4 1.288250-4 5.455740+4 1.462177-4 3.706871+4 1.678804-4 2.413385+4 2.818383-4 4.749173+3 3.198895-4 3.172965+3 3.630781-4 2.103933+3 4.073803-4 1.438077+3 4.623810-4 9.383853+2 5.248075-4 6.080213+2 7.585776-4 1.693169+2 8.413951-4 1.175688+2 9.225714-4 8.448374+1 1.047129-3 5.311970+1 1.188502-3 3.317652+1 1.364583-3 1.970300+1 1.548817-3 1.213700+1 1.819701-3 6.493002+0 2.344229-3 2.405418+0 2.884032-3 1.059390+0 3.630781-3 4.225377-1 4.841724-3 1.328270-1 6.095369-3 5.223031-2 7.244360-3 2.578281-2 9.015711-3 1.044861-2 1.161449-2 3.641526-3 1.566751-2 1.038942-3 4.216965-2 1.602837-5 5.495409-2 5.286953-6 6.918310-2 2.029752-6 8.317638-2 9.504872-7 9.772372-2 4.928252-7 1.135011-1 2.695806-7 1.303167-1 1.555607-7 1.479108-1 9.462438-8 1.678804-1 5.795062-8 1.862087-1 3.905544-8 2.065380-1 2.650505-8 2.290868-1 1.812859-8 2.511886-1 1.302194-8 2.754229-1 9.415799-9 3.019952-1 6.856800-9 3.273407-1 5.229030-9 3.548134-1 4.014399-9 3.845918-1 3.103375-9 4.168694-1 2.415864-9 4.518559-1 1.894475-9 4.897788-1 1.496453-9 5.308844-1 1.190677-9 5.754399-1 9.53975-10 6.165950-1 7.93780-10 6.606935-1 6.64719-10 7.079458-1 5.60449-10 7.585776-1 4.75561-10 8.035261-1 4.16782-10 8.709636-1 3.49651-10 9.549926-1 2.88273-10 1.174898+0 1.89222-10 1.288250+0 1.57988-10 1.396368+0 1.35736-10 1.500000+0 1.19270-10 1.621810+0 1.04477-10 1.778279+0 9.00763-11 1.949845+0 7.82234-11 2.238721+0 6.36424-11 2.540973+0 5.30725-11 2.917427+0 4.38640-11 3.388442+0 3.59533-11 4.000000+0 2.90730-11 4.786301+0 2.32893-11 5.821032+0 1.84228-11 7.328245+0 1.41055-11 9.120108+0 1.10233-11 1.216186+1 8.02894-12 1.659587+1 5.74822-12 2.454709+1 3.80536-12 4.000000+1 2.29570-12 6.760830+1 1.34320-12 1.348963+2 6.67624-13 5.370318+2 1.66693-13 3.388442+4 2.63634-15 1.000000+5 8.93310-16 1 6000 7 0 1.201120+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 8.980000-6 8.980000-6 1.000000+5 8.980000-6 1 6000 7 9 1.201120+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 8.980000-6 0.0 1.000000+5 1.000000+5 1 6000 7 0 1.201120+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.333020-9 1.028750+0 1.333020-8 1.036640+0 1.333020-7 1.051200+0 1.014200-6 1.054080+0 1.333020-6 1.057700+0 1.816980-6 1.061100+0 2.363420-6 1.065100+0 3.128870-6 1.070400+0 4.365050-6 1.076200+0 6.032430-6 1.080600+0 7.533500-6 1.087100+0 1.015020-5 1.093710+0 1.333020-5 1.102600+0 1.848360-5 1.110700+0 2.410880-5 1.120600+0 3.225480-5 1.133300+0 4.485370-5 1.147500+0 6.193950-5 1.158200+0 7.697810-5 1.174100+0 1.028640-4 1.190110+0 1.333020-4 1.205100+0 1.658170-4 1.227500+0 2.218000-4 1.250000+0 2.870000-4 1.281300+0 3.927430-4 1.308600+0 4.993150-4 1.332500+0 6.033180-4 1.374400+0 8.093810-4 1.405800+0 9.829260-4 1.452900+0 1.272260-3 1.500000+0 1.594000-3 1.562500+0 2.065330-3 1.641100+0 2.721820-3 1.706900+0 3.317880-3 1.811600+0 4.340210-3 1.952900+0 5.834230-3 2.000000+0 6.356000-3 2.044000+0 6.852000-3 2.163500+0 8.228230-3 2.372600+0 1.070050-2 2.647100+0 1.399100-2 3.000000+0 1.820000-2 3.437500+0 2.330160-2 4.000000+0 2.955000-2 4.750000+0 3.723440-2 5.000000+0 3.966000-2 6.000000+0 4.876000-2 7.000000+0 5.687000-2 8.000000+0 6.418000-2 9.000000+0 7.082000-2 1.000000+1 7.686000-2 1.100000+1 8.235000-2 1.200000+1 8.739000-2 1.300000+1 9.209000-2 1.400000+1 9.645000-2 1.500000+1 1.005000-1 1.600000+1 1.044000-1 1.800000+1 1.114000-1 2.000000+1 1.177000-1 2.200000+1 1.235000-1 2.400000+1 1.287000-1 2.600000+1 1.335000-1 2.800000+1 1.379000-1 3.000000+1 1.420000-1 4.000000+1 1.588000-1 5.000000+1 1.714000-1 6.000000+1 1.815000-1 8.000000+1 1.967000-1 1.000000+2 2.079000-1 1.500000+2 2.267000-1 2.000000+2 2.384000-1 3.000000+2 2.528000-1 4.000000+2 2.613000-1 5.000000+2 2.670000-1 6.000000+2 2.712000-1 8.000000+2 2.768000-1 1.000000+3 2.805000-1 1.500000+3 2.859000-1 2.000000+3 2.889000-1 3.000000+3 2.922000-1 4.000000+3 2.939000-1 5.000000+3 2.951000-1 6.000000+3 2.958000-1 8.000000+3 2.969000-1 1.000000+4 2.975000-1 1.500000+4 2.984000-1 2.000000+4 2.989000-1 3.000000+4 2.994000-1 4.000000+4 2.997000-1 5.000000+4 2.998000-1 6.000000+4 3.000000-1 8.000000+4 3.001000-1 1.000000+5 3.002000-1 1 6000 7 8 1.201120+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 6000 7 9 1.201120+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 6000 7 0 1.201120+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 6.025390-8 2.136250+0 6.025390-7 2.156900+0 1.073030-6 2.169000+0 1.432030-6 2.184500+0 1.990570-6 2.201800+0 2.754010-6 2.214800+0 3.431290-6 2.234200+0 4.615690-6 2.253680+0 6.025390-6 2.281500+0 8.439630-6 2.307000+0 1.108540-5 2.338200+0 1.490530-5 2.377400+0 2.064210-5 2.410200+0 2.625330-5 2.446800+0 3.339570-5 2.485900+0 4.204700-5 2.532900+0 5.381110-5 2.556430+0 6.025390-5 2.611900+0 7.683000-5 2.660400+0 9.288290-5 2.745300+0 1.243170-4 2.809000+0 1.505540-4 2.904500+0 1.939470-4 3.000000+0 2.421000-4 3.125000+0 3.121930-4 3.234400+0 3.798910-4 3.425800+0 5.116400-4 3.569300+0 6.204880-4 3.784700+0 7.977990-4 4.000000+0 9.885000-4 4.250000+0 1.221760-3 4.625000+0 1.588560-3 5.000000+0 1.970000-3 5.500000+0 2.493680-3 6.000000+0 3.025000-3 6.750000+0 3.817760-3 7.000000+0 4.079000-3 8.000000+0 5.102000-3 9.000000+0 6.083000-3 1.000000+1 7.018000-3 1.100000+1 7.906000-3 1.200000+1 8.745000-3 1.300000+1 9.538000-3 1.400000+1 1.030000-2 1.500000+1 1.102000-2 1.600000+1 1.170000-2 1.800000+1 1.298000-2 2.000000+1 1.415000-2 2.200000+1 1.523000-2 2.400000+1 1.623000-2 2.600000+1 1.715000-2 2.800000+1 1.802000-2 3.000000+1 1.883000-2 4.000000+1 2.224000-2 5.000000+1 2.490000-2 6.000000+1 2.706000-2 8.000000+1 3.041000-2 1.000000+2 3.294000-2 1.500000+2 3.734000-2 2.000000+2 4.024000-2 3.000000+2 4.397000-2 4.000000+2 4.630000-2 5.000000+2 4.792000-2 6.000000+2 4.914000-2 8.000000+2 5.084000-2 1.000000+3 5.198000-2 1.500000+3 5.372000-2 2.000000+3 5.471000-2 3.000000+3 5.580000-2 4.000000+3 5.644000-2 5.000000+3 5.684000-2 6.000000+3 5.712000-2 8.000000+3 5.749000-2 1.000000+4 5.773000-2 1.500000+4 5.805000-2 2.000000+4 5.824000-2 3.000000+4 5.842000-2 4.000000+4 5.854000-2 5.000000+4 5.860000-2 6.000000+4 5.865000-2 8.000000+4 5.870000-2 1.000000+5 5.873000-2 1 6000 7 8 1.201120+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 6000 7 9 1.201120+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 6000 7 0 1.201120+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 6.000000+0 1.000000+5 6.000000+0 5.000000+5 5.997400+0 6.250000+5 5.995310+0 7.187500+5 5.994000+0 8.154300+5 5.992810+0 8.813500+5 5.992030+0 9.604500+5 5.990510+0 1.000000+6 5.989800+0 1.500000+6 5.977100+0 2.000000+6 5.959400+0 2.250000+6 5.948730+0 2.500000+6 5.936800+0 3.000000+6 5.909300+0 3.500000+6 5.877020+0 4.000000+6 5.840600+0 4.750000+6 5.777140+0 5.000000+6 5.754400+0 5.500000+6 5.704970+0 6.000000+6 5.652560+0 6.250000+6 5.624480+0 7.000000+6 5.536900+0 8.000000+6 5.409400+0 9.000000+6 5.270200+0 9.750000+6 5.159370+0 1.000000+7 5.122500+0 1.062500+7 5.029200+0 1.125000+7 4.935470+0 1.156300+7 4.887660+0 1.218800+7 4.790340+0 1.250000+7 4.740700+0 1.375000+7 4.536270+0 1.500000+7 4.331000+0 1.625000+7 4.130080+0 1.750000+7 3.937100+0 1.875000+7 3.752990+0 1.937500+7 3.664230+0 2.000000+7 3.577500+0 2.125000+7 3.409270+0 2.218800+7 3.288850+0 2.312500+7 3.174170+0 2.500000+7 2.961400+0 2.718800+7 2.741110+0 2.906300+7 2.576370+0 3.000000+7 2.501500+0 3.250000+7 2.324590+0 3.437500+7 2.210950+0 3.718800+7 2.067600+0 3.812500+7 2.026000+0 4.000000+7 1.951200+0 4.250000+7 1.866850+0 4.500000+7 1.796230+0 4.625000+7 1.765180+0 5.000000+7 1.685600+0 5.500000+7 1.603080+0 6.000000+7 1.536300+0 7.000000+7 1.424500+0 7.750000+7 1.346410+0 8.000000+7 1.320600+0 8.500000+7 1.268670+0 9.000000+7 1.216500+0 9.500000+7 1.164200+0 1.000000+8 1.112100+0 1.062500+8 1.047700+0 1.109400+8 1.000230+0 1.179700+8 9.311410-1 1.187500+8 9.235700-1 1.250000+8 8.648200-1 1.312500+8 8.084600-1 1.394500+8 7.388620-1 1.437500+8 7.042720-1 1.464800+8 6.830610-1 1.500000+8 6.566200-1 1.589800+8 5.931260-1 1.665000+8 5.444980-1 1.748800+8 4.948940-1 1.750000+8 4.942130-1 1.838500+8 4.468060-1 1.946200+8 3.953480-1 2.000000+8 3.720200-1 2.125000+8 3.232420-1 2.218800+8 2.912350-1 2.359400+8 2.496320-1 2.500000+8 2.146500-1 2.625000+8 1.881880-1 2.812500+8 1.552580-1 3.000000+8 1.288200-1 3.218800+8 1.043200-1 3.406300+8 8.759860-2 3.500000+8 8.045200-2 3.750000+8 6.452520-2 4.000000+8 5.223000-2 4.250000+8 4.263930-2 4.625000+8 3.193660-2 5.000000+8 2.433000-2 5.500000+8 1.733630-2 6.000000+8 1.265000-2 6.750000+8 8.187060-3 7.000000+8 7.147100-3 8.000000+8 4.319400-3 9.000000+8 2.755200-3 1.000000+9 1.836400-3 1.218800+9 8.515030-4 1.500000+9 3.776700-4 2.000000+9 1.215700-4 5.000000+9 3.238600-6 7.250000+9 7.474620-7 8.000000+9 5.073400-7 1.00000+10 2.112300-7 1.27030+10 8.294570-8 1.55700+10 3.761840-8 2.00890+10 1.406990-8 2.40710+10 7.036550-9 2.88160+10 3.546550-9 3.54180+10 1.626410-9 4.34910+10 7.53486-10 5.36450+10 3.45792-10 6.21430+10 2.01266-10 7.56630+10 9.81546-11 8.78320+10 5.72633-11 1.00000+11 3.59640-11 1.17140+11 2.04980-11 1.36540+11 1.19478-11 1.70670+11 5.49183-12 2.04860+11 2.92810-12 2.52170+11 1.44254-12 3.35790+11 5.50664-13 4.68190+11 1.83270-13 6.33390+11 6.84398-14 1.03630+12 1.41544-14 1.58930+12 3.69623-15 3.03270+12 5.05564-16 7.26730+12 3.64413-17 2.69580+13 7.66541-19 1.00000+14 1.66090-20 5.62340+14 1.00989-22 5.42470+15 1.13425-25 1.00000+17 1.68100-29 1 6000 7 0 1.201120+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.29900-12 1.000000+2 1.29900-10 1.000000+3 1.299000-8 1.000000+4 1.299000-6 1.000000+5 1.299000-4 5.000000+5 3.247500-3 6.250000+5 5.074219-3 7.187500+5 6.710654-3 8.154300+5 8.637390-3 8.813500+5 1.009034-2 9.604500+5 1.198281-2 1.000000+6 1.299000-2 1.500000+6 2.953400-2 2.000000+6 5.164000-2 2.250000+6 6.518990-2 2.500000+6 8.049400-2 3.000000+6 1.157000-1 3.500000+6 1.559840-1 4.000000+6 2.015000-1 4.750000+6 2.800600-1 5.000000+6 3.086000-1 5.500000+6 3.685000-1 6.000000+6 4.319420-1 6.250000+6 4.649500-1 7.000000+6 5.687700-1 8.000000+6 7.174860-1 9.000000+6 8.755900-1 9.750000+6 9.981610-1 1.000000+7 1.039200+0 1.062500+7 1.141040+0 1.125000+7 1.242510+0 1.156300+7 1.293430+0 1.218800+7 1.395840+0 1.250000+7 1.447600+0 1.375000+7 1.657810+0 1.500000+7 1.866200+0 1.625000+7 2.064590+0 1.750000+7 2.253200+0 1.875000+7 2.432950+0 1.937500+7 2.519420+0 2.000000+7 2.604100+0 2.125000+7 2.766370+0 2.218800+7 2.882240+0 2.312500+7 2.992650+0 2.500000+7 3.197900+0 2.718800+7 3.410010+0 2.906300+7 3.569790+0 3.000000+7 3.642600+0 3.250000+7 3.814210+0 3.437500+7 3.924880+0 3.718800+7 4.066320+0 3.812500+7 4.107610+0 4.000000+7 4.183700+0 4.250000+7 4.271440+0 4.500000+7 4.347920+0 4.625000+7 4.382790+0 5.000000+7 4.477700+0 5.500000+7 4.588620+0 6.000000+7 4.690300+0 7.000000+7 4.877800+0 7.750000+7 5.009350+0 8.000000+7 5.051100+0 8.500000+7 5.131510+0 9.000000+7 5.208500+0 9.500000+7 5.280390+0 1.000000+8 5.348500+0 1.062500+8 5.426150+0 1.109400+8 5.479020+0 1.179700+8 5.551530+0 1.187500+8 5.558880+0 1.250000+8 5.615300+0 1.312500+8 5.664920+0 1.394500+8 5.720760+0 1.437500+8 5.746790+0 1.464800+8 5.762010+0 1.500000+8 5.780600+0 1.589800+8 5.820780+0 1.665000+8 5.849220+0 1.748800+8 5.875480+0 1.750000+8 5.875830+0 1.838500+8 5.898670+0 1.946200+8 5.920950+0 2.000000+8 5.930200+0 2.125000+8 5.947480+0 2.218800+8 5.957470+0 2.359400+8 5.968840+0 2.500000+8 5.977000+0 2.625000+8 5.981790+0 2.812500+8 5.987740+0 3.000000+8 5.991700+0 3.218800+8 5.994030+0 3.406300+8 5.995900+0 3.500000+8 5.996800+0 3.750000+8 5.997730+0 4.000000+8 5.998600+0 4.250000+8 5.998900+0 4.625000+8 5.999320+0 5.000000+8 5.999700+0 5.500000+8 5.999800+0 6.000000+8 5.999900+0 6.750000+8 5.999980+0 7.000000+8 6.000000+0 8.000000+8 6.000000+0 9.000000+8 6.000000+0 1.000000+9 6.000000+0 1.218800+9 6.000000+0 1.500000+9 6.000000+0 2.000000+9 6.000000+0 5.000000+9 6.000000+0 7.250000+9 6.000000+0 8.000000+9 6.000000+0 1.00000+10 6.000000+0 1.27030+10 6.000000+0 1.55700+10 6.000000+0 2.00890+10 6.000000+0 2.40710+10 6.000000+0 2.88160+10 6.000000+0 3.54180+10 6.000000+0 4.34910+10 6.000000+0 5.36450+10 6.000000+0 6.21430+10 6.000000+0 7.56630+10 6.000000+0 8.78320+10 6.000000+0 1.00000+11 6.000000+0 1.17140+11 6.000000+0 1.36540+11 6.000000+0 1.70670+11 6.000000+0 2.04860+11 6.000000+0 2.52170+11 6.000000+0 3.35790+11 6.000000+0 4.68190+11 6.000000+0 6.33390+11 6.000000+0 1.03630+12 6.000000+0 1.58930+12 6.000000+0 3.03270+12 6.000000+0 7.26730+12 6.000000+0 2.69580+13 6.000000+0 1.00000+14 6.000000+0 5.62340+14 6.000000+0 5.42470+15 6.000000+0 1.00000+17 6.000000+0 1 6000 7 0 1.201120+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.058617-6 0.0 5.443905-6 0.0 5.454280-6 1.289578-1 5.470704-6 4.309498-1 5.481130-6 7.060830-1 5.484104-6 7.967272-1 5.497503-6 1.360981+0 5.512578-6 2.271096+0 5.533148-6 3.833460+0 5.551101-6 5.261224+0 5.565731-6 6.092913+0 5.579320-6 6.434634+0 5.593409-6 6.249726+0 5.607450-6 5.576185+0 5.624932-6 4.301277+0 5.644897-6 2.704493+0 5.658297-6 1.796221+0 5.671696-6 1.103012+0 5.682505-6 7.074661-1 5.685096-6 6.262718-1 5.695930-6 3.771744-1 5.711895-6 7.036162-2 5.722780-6 0.0 6.440242-6 0.0 6.440964-6 1.341170-8 6.451329-6 3.986853-7 6.472671-6 1.582085-6 6.483087-6 2.404415-6 6.488525-6 2.911668-6 6.498966-6 4.190925-6 6.504378-6 4.951557-6 6.520232-6 7.781183-6 6.536086-6 1.129979-5 6.567793-6 1.880860-5 6.583646-6 2.156034-5 6.599500-6 2.284294-5 6.615354-6 2.236999-5 6.631207-6 2.024965-5 6.647061-6 1.694444-5 6.678768-6 9.373486-6 6.694622-6 6.197314-6 6.705395-6 4.494241-6 6.710475-6 3.788265-6 6.721274-6 2.605612-6 6.726329-6 2.141058-6 6.737153-6 1.396243-6 6.757278-6 2.399819-7 6.758036-6 2.105945-7 6.768911-6 0.0 7.285594-6 0.0 7.285604-6 1.040538-5 7.295969-6 1.106561-1 7.301308-6 1.961109-1 7.321469-6 5.508130-1 7.331885-6 8.096349-1 7.339402-6 1.024862+0 7.349843-6 1.425992+0 7.357334-6 1.753210+0 7.373193-6 2.644880+0 7.397683-6 4.396131+0 7.429065-6 6.829674+0 7.448118-6 7.915956+0 7.466576-6 8.401984+0 7.485264-6 8.203366+0 7.503858-6 7.372116+0 7.526412-6 5.795457+0 7.554593-6 3.600865+0 7.573872-6 2.332852+0 7.586878-6 1.657353+0 7.590458-6 1.485791+0 7.603040-6 1.022028+0 7.609067-6 8.331610-1 7.620337-6 5.677282-1 7.644267-6 1.065917-1 7.655131-6 2.132011-2 7.660732-6 8.366455-3 7.671608-6 0.0 7.932755-6 0.0 7.941764-6 4.027888-2 7.943120-6 4.700904-2 7.971806-6 2.556830-1 7.984654-6 3.916383-1 7.991332-6 4.718188-1 8.004211-6 6.831365-1 8.013301-6 8.593214-1 8.030431-6 1.268335+0 8.073631-6 2.593758+0 8.089150-6 3.085651+0 8.110959-6 3.570772+0 8.132931-6 3.738017+0 8.152463-6 3.597500+0 8.173019-6 3.170665+0 8.212956-6 1.961963+0 8.228147-6 1.480805+0 8.242911-6 1.108735+0 8.258452-6 8.279519-1 8.267210-6 7.028578-1 8.275487-6 6.126233-1 8.284882-6 5.450448-1 8.295038-6 5.134001-1 8.313590-6 5.308123-1 8.324067-6 5.718970-1 8.334140-6 6.678241-1 8.362654-6 1.097608+0 8.373029-6 1.596469+0 8.405743-6 5.203875+0 8.416043-6 6.581786+0 8.429622-6 8.944118+0 8.439052-6 1.096752+1 8.455465-6 1.513010+1 8.481275-6 2.398600+1 8.531174-6 4.359262+1 8.554250-6 4.984168+1 8.568616-6 5.202954+1 8.586524-6 5.167197+1 8.604824-6 4.855158+1 8.630751-6 4.009046+1 8.677993-6 2.113366+1 8.697413-6 1.472682+1 8.706303-6 1.226200+1 8.719951-6 9.170501+0 8.726005-6 8.007810+0 8.738776-6 6.079995+0 8.745578-6 5.204308+0 8.774871-6 2.360894+0 8.785459-6 1.675409+0 8.851909-6 1.666913+0 1.031755-5 1.857509+0 1.245837-5 1.973029+0 1.483220-5 2.008364+0 1.492336-5 2.087199+0 1.501908-5 2.301796+0 1.514214-5 2.629215+0 1.521506-5 2.631396+0 1.532445-5 2.345588+0 1.539738-5 2.152219+0 1.547030-5 2.045054+0 1.558288-5 1.992044+0 1.599373-5 1.986295+0 1.615120-5 2.060228+0 1.635233-5 2.296725+0 1.646613-5 2.261826+0 1.662360-5 2.098378+0 1.678107-5 2.126598+0 1.691422-5 2.177363+0 2.213095-5 2.225570+0 2.884294-5 2.122326+0 4.908837-5 1.556108+0 6.332030-5 1.251021+0 7.823804-5 1.020616+0 9.356589-5 8.454465-1 1.130122-4 6.830960-1 1.330481-4 5.624152-1 1.548207-4 4.660261-1 1.817823-4 3.795290-1 2.089296-4 3.156365-1 2.449581-4 2.539799-1 2.752462-4 2.159013-1 2.752569-4 2.186335-1 2.766119-4 1.247808+0 2.772894-4 2.099873+0 2.779669-4 3.391160+0 2.787291-4 5.424706+0 2.805899-4 1.143701+1 2.814650-4 1.330498+1 2.821527-4 1.371263+1 2.828371-4 1.308117+1 2.836327-4 1.125635+1 2.852967-4 6.365240+0 2.861296-4 4.559736+0 2.868270-4 3.684391+0 2.876013-4 3.295529+0 2.888441-4 3.165687+0 2.897553-4 3.603040+0 2.906277-4 3.884056+0 2.919790-4 4.078586+0 2.952178-4 3.998331+0 3.061447-4 3.768914+0 3.589101-4 3.241365+0 4.115394-4 2.670870+0 4.886013-4 2.087176+0 5.547389-4 1.708991+0 6.300500-4 1.392817+0 7.200956-4 1.115090+0 8.106589-4 9.110382-1 8.966381-4 7.654545-1 9.905327-4 6.413643-1 1.108738-3 5.235262-1 1.230422-3 4.330781-1 1.369296-3 3.548800-1 1.524753-3 2.902093-1 1.692743-3 2.376828-1 1.876378-3 1.949284-1 2.104523-3 1.558304-1 2.359460-3 1.242683-1 2.570978-3 1.047205-1 2.840655-3 8.569726-2 3.141280-3 6.986796-2 3.490282-3 5.632018-2 3.876507-3 4.534742-2 4.313279-3 3.630248-2 4.802348-3 2.897689-2 5.372295-3 2.284920-2 5.976271-3 1.820339-2 6.497417-3 1.520858-2 7.096802-3 1.256117-2 7.809128-3 1.021143-2 8.687415-3 8.078785-3 9.550534-3 6.557728-3 1.038345-2 5.449057-3 1.140257-2 4.424130-3 1.243306-2 3.646301-3 1.348720-2 3.038010-3 1.486181-2 2.439243-3 1.606610-2 2.045340-3 1.748328-2 1.688544-3 1.934364-2 1.340216-3 2.135989-2 1.068129-3 2.366261-2 8.446875-4 2.616420-2 6.697523-4 2.891101-2 5.319822-4 3.198016-2 4.212370-4 3.494423-2 3.427305-4 3.798470-2 2.822661-4 4.194884-2 2.239656-4 4.600424-2 1.806114-4 4.958245-2 1.516238-4 5.379966-2 1.253242-4 5.846899-2 1.031898-4 6.444391-2 8.220667-5 6.958250-2 6.871209-5 7.694672-2 5.431525-5 8.249623-2 4.615194-5 9.043579-2 3.722421-5 9.903033-2 3.014265-5 1.077147-1 2.481193-5 1.190566-1 1.968510-5 1.292084-1 1.629735-5 1.408778-1 1.337561-5 1.551390-1 1.072544-5 1.682815-1 8.930713-6 1.866090-1 7.081710-6 2.032942-1 5.862761-6 2.220772-1 4.826876-6 2.448733-1 3.909637-6 2.660725-1 3.279139-6 2.924944-1 2.690367-6 3.256961-1 2.162861-6 3.636314-1 1.740953-6 3.988060-1 1.460374-6 4.365158-1 1.237192-6 4.827808-1 1.036631-6 5.463866-1 8.437931-7 6.008782-1 7.274462-7 6.839116-1 6.021312-7 7.629569-1 5.205160-7 8.579996-1 4.508665-7 9.572285-1 3.987767-7 1.120601+0 3.407848-7 1.347258+0 2.853540-7 1.619761+0 2.389393-7 1.947381+0 2.000743-7 2.341267+0 1.675309-7 2.814822+0 1.402810-7 3.384160+0 1.174634-7 4.068655+0 9.835720-8 4.891600+0 8.235877-8 5.880996+0 6.896259-8 7.070513+0 5.774539-8 8.500626+0 4.835273-8 9.760024+0 4.232518-8 1.000000+1 8.131066-8 1 6000 7 0 1.201120+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-5.991287+0 3.058617-6-5.894231+0 4.592129-6-5.597487+0 5.098733-6-5.236660+0 5.286209-6-4.850533+0 5.373132-6-4.434694+0 5.416680-6-4.022946+0 5.439598-6-3.633158+0 5.484104-6-2.382902+0 5.502109-6-1.897080+0 5.512578-6-1.726351+0 5.519905-6-1.708888+0 5.527652-6-1.776031+0 5.535392-6-1.960826+0 5.542265-6-2.221438+0 5.549858-6-2.643788+0 5.563244-6-3.705274+0 5.578109-6-5.219026+0 5.588630-6-6.298761+0 5.594776-6-5.629370+0 5.608781-6-4.403711+0 5.622080-6-3.598017+0 5.631522-6-3.261034+0 5.642076-6-3.092739+0 5.654947-6-3.174351+0 5.673047-6-3.612346+0 5.729765-6-5.185313+0 5.772943-6-5.746605+0 5.867558-6-6.310305+0 6.181682-6-5.714711+0 6.768911-6-4.865628+0 6.978650-6-4.352994+0 7.105669-6-3.848741+0 7.193309-6-3.280600+0 7.239226-6-2.809884+0 7.266033-6-2.408465+0 7.283760-6-2.018138+0 7.301308-6-1.491593+0 7.316429-6-1.093479+0 7.331885-6-6.314334-1 7.339402-6-3.917083-1 7.349843-6-7.522631-2 7.357334-6 1.477311-1 7.361299-6 2.583605-1 7.375693-6 5.441946-1 7.380070-6 5.875856-1 7.386635-6 6.038923-1 7.393200-6 5.865093-1 7.397683-6 5.500827-1 7.401606-6 4.883681-1 7.405038-6 4.165219-1 7.411045-6 2.519668-1 7.415550-6 9.499026-2 7.418928-6-4.332844-2 7.423997-6-2.895393-1 7.426531-6-4.350638-1 7.427798-6-5.162955-1 7.438031-6-1.238198+0 7.444756-6-1.764405+0 7.450220-6-2.300007+0 7.463091-6-3.476004+0 7.468612-6-4.093337+0 7.484229-6-5.641844+0 7.493294-6-6.452939+0 7.497044-6-6.679581+0 7.509972-6-5.676871+0 7.524575-6-4.880331+0 7.540074-6-4.420979+0 7.553062-6-4.308130+0 7.571685-6-4.523693+0 7.603040-6-5.455082+0 7.645330-6-6.743152+0 7.673648-6-5.949600+0 7.731874-6-4.991699+0 7.883099-6-3.120452+0 7.925772-6-2.450427+0 7.984654-6-1.199298+0 8.013301-6-5.469466-1 8.021866-6-3.753101-1 8.030431-6-2.173393-1 8.035914-6-1.241022-1 8.044139-6-2.326821-2 8.052364-6 5.275817-2 8.061561-6 1.048278-1 8.068458-6 1.165689-1 8.073631-6 1.103722-1 8.081391-6 7.321763-2 8.085271-6 3.834914-2 8.089150-6-1.877156-2 8.100055-6-1.821404-1 8.105507-6-2.711880-1 8.108233-6-3.247369-1 8.115841-6-5.145951-1 8.126828-6-7.444726-1 8.132931-6-9.190623-1 8.152463-6-1.339387+0 8.169553-6-1.570474+0 8.173019-6-1.609574+0 8.183635-6-1.624537+0 8.197283-6-1.526308+0 8.207893-6-1.367055+0 8.212956-6-1.260956+0 8.220552-6-1.065070+0 8.224349-6-9.480983-1 8.235529-6-5.241630-1 8.239220-6-3.729541-1 8.242911-6-2.046050-1 8.250681-6 1.590651-1 8.258452-6 5.418637-1 8.267210-6 1.012518+0 8.275487-6 1.488957+0 8.295038-6 2.720498+0 8.313590-6 4.011864+0 8.334140-6 5.718823+0 8.354117-6 7.699492+0 8.362654-6 8.805590+0 8.378907-6 1.133517+1 8.416043-6 1.607894+1 8.439052-6 1.927093+1 8.463224-6 2.170194+1 8.484313-6 2.201335+1 8.499354-6 2.065268+1 8.514543-6 1.792594+1 8.523411-6 1.560440+1 8.529881-6 1.332420+1 8.545116-6 7.269582+0 8.549889-6 5.007517+0 8.552216-6 3.690140+0 8.561370-6-7.788167-1 8.564485-6-2.352926+0 8.567223-6-3.844757+0 8.568616-6-4.739499+0 8.584608-6-1.416280+0 8.584891-6-1.221329+0 8.585447-6-8.807654-1 8.586524-6-2.684545-1 8.603416-6 8.319226+0 8.609776-6 1.125958+1 8.627578-6 1.789843+1 8.637014-6 2.055906+1 8.651364-6 2.330837+1 8.668870-6 2.496261+1 8.677993-6 2.493725+1 8.697413-6 2.364742+1 8.738776-6 1.779603+1 8.782812-6 1.169452+1 8.792639-6 1.018431+1 8.809045-6 8.523634+0 8.833276-6 6.759850+0 8.851909-6 5.711175+0 8.882678-6 4.373948+0 8.912803-6 3.359292+0 8.936637-6 2.668455+0 8.970830-6 1.883762+0 8.996966-6 1.374099+0 9.022793-6 9.406335-1 9.044364-6 6.151733-1 9.061655-6 3.775813-1 9.076820-6 1.833728-1 9.088853-6 3.783511-2 9.101226-6-1.041406-1 9.113720-6-2.403377-1 9.136679-6-4.735582-1 9.167509-6-7.550458-1 9.206115-6-1.066719+0 9.266473-6-1.467970+0 9.348523-6-1.917241+0 9.452435-6-2.353240+0 9.587497-6-2.776439+0 9.782670-6-3.203523+0 1.009233-5-3.631972+0 1.063547-5-4.022760+0 1.143365-5-4.256756+0 1.293353-5-4.353775+0 1.463542-5-4.418316+0 1.492336-5-4.623261+0 1.505554-5-4.654542+0 1.517860-5-4.283802+0 1.528799-5-3.931272+0 1.539738-5-3.902287+0 1.569748-5-4.155072+0 1.625598-5-4.377817+0 1.652518-5-4.074805+0 1.682050-5-4.196573+0 2.615171-5-3.328936+0 3.338944-5-2.858302+0 4.259661-5-2.483917+0 5.249963-5-2.255215+0 6.814248-5-2.076132+0 8.878605-5-1.993724+0 1.255759-4-2.032262+0 1.634094-4-2.210199+0 1.917304-4-2.444881+0 2.158301-4-2.765357+0 2.346102-4-3.173601+0 2.479177-4-3.649515+0 2.573852-4-4.208119+0 2.646264-4-3.948163+0 2.686611-4-3.596287+0 2.713167-4-3.147550+0 2.727673-4-2.743743+0 2.737931-4-2.320836+0 2.745161-4-1.899729+0 2.749382-4-1.561063+0 2.751692-4-1.312065+0 2.752992-4-1.105725+0 2.755176-4-8.451802-1 2.757260-4-6.367618-1 2.762732-4-1.245095-1 2.764425-4 4.876642-2 2.765272-4 1.447476-1 2.766119-4 2.598485-1 2.772894-4 1.064677+0 2.773741-4 1.184884+0 2.780516-4 1.885139+0 2.781998-4 1.995813+0 2.787291-4 2.246649+0 2.789885-4 2.233676+0 2.794066-4 2.020281+0 2.796660-4 1.740163+0 2.799161-4 1.346377+0 2.801748-4 7.963481-1 2.803063-4 4.947344-1 2.804050-4 2.502030-1 2.804790-4 5.391810-2 2.805899-4-2.674196-1 2.806454-4-4.453882-1 2.806732-4-5.417288-1 2.807441-4-8.169466-1 2.811612-4-2.251787+0 2.813406-4-2.959834+0 2.815036-4-3.723120+0 2.819688-4-5.600327+0 2.821527-4-4.732961+0 2.827952-4-2.223383+0 2.829155-4-1.764501+0 2.831042-4-1.153129+0 2.834645-4-8.797152-2 2.835218-4 8.873153-2 2.836327-4 3.713179-1 2.837367-4 6.023981-1 2.838342-4 7.968369-1 2.839256-4 9.623463-1 2.840970-4 1.233692+0 2.842470-4 1.432918+0 2.844930-4 1.687728+0 2.846940-4 1.831093+0 2.849577-4 1.927198+0 2.852120-4 1.900055+0 2.857670-4 1.515085+0 2.860661-4 1.183855+0 2.861296-4 1.086043+0 2.868270-4 1.922751-1 2.869127-4 5.673766-2 2.870937-4-1.597654-1 2.876013-4-7.771086-1 2.877564-4-9.403303-1 2.879898-4-1.154710+0 2.887021-4-1.730718+0 2.889214-4-1.974383+0 2.892764-4-2.224820+0 2.900167-4-2.431287+0 2.910114-4-2.451922+0 2.940000-4-2.251780+0 2.956355-4-2.209622+0 3.032500-4-2.087698+0 3.234664-4-1.610040+0 3.423823-4-1.163375+0 3.558885-4-8.983021-1 3.684112-4-7.056034-1 3.810631-4-5.511818-1 3.904167-4-4.536434-1 4.010158-4-3.572438-1 4.115394-4-2.739549-1 4.220633-4-2.013583-1 4.312375-4-1.445998-1 4.413275-4-8.736558-2 4.558630-4-1.333948-2 4.581149-4-2.993764-3 4.642887-4 2.689431-2 4.751862-4 7.141166-2 4.886013-4 1.203229-1 5.053049-4 1.728878-1 5.179791-4 2.055089-1 5.417133-4 2.537242-1 5.678393-4 2.935138-1 5.991126-4 3.295036-1 6.481137-4 3.638895-1 7.090603-4 3.859289-1 8.106589-4 3.882567-1 9.905327-4 3.562679-1 1.418371-3 2.607597-1 1.748595-3 2.055269-1 2.104523-3 1.625730-1 2.494751-3 1.290293-1 2.904728-3 1.037382-1 3.331882-3 8.452527-2 3.759558-3 7.016079-2 4.313279-3 5.640787-2 4.960017-3 4.484162-2 5.651635-3 3.595835-2 6.372299-3 2.913935-2 7.096802-3 2.398261-2 8.010522-3 1.916032-2 8.943569-3 1.550615-2 9.819387-3 1.288128-2 1.089497-2 1.040471-2 1.207466-2 8.337896-3 1.348720-2 6.484708-3 1.486181-2 5.118978-3 1.606610-2 4.177367-3 1.748328-2 3.292290-3 1.899507-2 2.541012-3 2.058217-2 1.910658-3 2.226224-2 1.374784-3 2.366261-2 1.007927-3 2.500294-2 7.087377-4 2.616420-2 4.837708-4 2.718098-2 3.082943-4 2.776254-2 2.159997-4 2.829937-2 1.352867-4 2.900354-2 3.613397-5 2.957978-2-4.021195-5 3.007087-2-1.067519-4 3.063018-2-1.786858-4 3.123502-2-2.522483-4 3.262238-2-4.048824-4 3.427678-2-5.622396-4 3.656598-2-7.460149-4 3.980445-2-9.538347-4 4.483275-2-1.191906-3 5.099572-2-1.393060-3 6.023131-2-1.586976-3 7.535259-2-1.764232-3 1.039676-1-1.913130-3 1.682815-1-2.015011-3 4.704354-1-2.069832-3 1.477239+0-2.077064-3 4.461192+0-2.077791-3 1.000000+1-2.077819-3 1 7000 7 0 1.400670+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 4.031842-7 1.041760-6 5.323640-7 1.106870-6 8.280069-7 1.152000-6 1.112449-6 1.176050-6 1.159311-6 1.249553-6 1.354044-6 1.327650-6 1.769440-6 1.369139-6 2.102977-6 1.411925-6 2.554471-6 1.440000-6 2.864066-6 1.456047-6 2.961056-6 1.501549-6 3.183878-6 1.548472-6 3.523557-6 1.596862-6 4.015781-6 1.646764-6 4.700899-6 1.698225-6 5.632907-6 1.751295-6 6.881817-6 1.800000-6 8.179945-6 1.806023-6 8.292987-6 1.862461-6 9.056632-6 1.920663-6 1.009089-5 1.980684-6 1.156570-5 2.048000-6 1.376219-5 2.106411-6 1.598953-5 2.172236-6 1.919445-5 2.240118-6 2.331901-5 2.250000-6 2.387728-5 2.310122-6 2.662894-5 2.382313-6 3.060832-5 2.456761-6 3.607021-5 2.531250-6 4.281178-5 2.612707-6 4.937568-5 2.694354-6 5.780505-5 2.778553-6 6.927095-5 2.847656-6 8.050412-5 2.865383-6 8.313350-5 2.954926-6 9.688169-5 3.047267-6 1.154334-4 3.142495-6 1.404911-4 3.203613-6 1.591631-4 3.341969-6 2.009292-4 3.446406-6 2.435949-4 3.604065-6 3.310910-4 3.665172-6 3.656043-4 3.779709-6 4.417885-4 3.897775-6 5.454177-4 4.054573-6 7.295476-4 4.230295-6 9.747606-4 4.334281-6 1.158009-3 4.435018-6 1.361700-3 4.627145-6 1.870411-3 4.718729-6 2.170231-3 4.893401-6 2.903728-3 4.976665-6 3.332959-3 5.167267-6 4.599074-3 5.289229-6 5.628394-3 5.431018-6 7.170180-3 5.563944-6 9.002502-3 5.688563-6 1.117932-2 5.833360-6 1.448790-2 5.914921-6 1.677318-2 6.017604-6 2.025590-2 6.113869-6 2.429981-2 6.204117-6 2.888405-2 6.288725-6 3.407500-2 6.368045-6 3.999865-2 6.442407-6 4.670135-2 6.512122-6 5.419937-2 6.577480-6 6.258931-2 6.638752-6 7.198874-2 6.696196-6 8.247449-2 6.750049-6 9.408693-2 6.800536-6 1.068925-1 6.847867-6 1.210134-1 6.892241-6 1.365820-1 6.933841-6 1.537056-1 6.972841-6 1.724560-1 7.017994-6 1.981680-1 7.043681-6 2.151368-1 7.075816-6 2.393078-1 7.105943-6 2.655555-1 7.134187-6 2.940130-1 7.160665-6 3.248062-1 7.185489-6 3.580590-1 7.208761-6 3.938996-1 7.230579-6 4.324625-1 7.251033-6 4.738896-1 7.270208-6 5.183304-1 7.288186-6 5.659424-1 7.305039-6 6.168966-1 7.320840-6 6.713852-1 7.335652-6 7.296319-1 7.363426-6 8.632647-1 7.387728-6 1.017052+0 7.408993-6 1.194211+0 7.427599-6 1.397319+0 7.443880-6 1.627222+0 7.458125-6 1.882390+0 7.470590-6 2.158965+0 7.481496-6 2.451359+0 7.491040-6 2.753085+0 7.499390-6 3.057577+0 7.513090-6 3.651638+0 7.532670-6 4.741630+0 7.559227-6 6.767263+0 7.579988-6 8.849624+0 7.595049-6 1.064055+1 7.599699-6 1.123866+1 7.610163-6 1.265485+1 7.617303-6 1.367079+1 7.632254-6 1.589709+1 7.638649-6 1.687552+1 7.650857-6 1.875275+1 7.658563-6 1.992304+1 7.667757-6 2.127899+1 7.673274-6 2.206056+1 7.682020-6 2.323246+1 7.688715-6 2.406087+1 7.694184-6 2.468481+1 7.701361-6 2.542201+1 7.710588-6 2.621617+1 7.720500-6 2.685372+1 7.729246-6 2.721419+1 7.733076-6 2.730947+1 7.742343-6 2.737776+1 7.750528-6 2.724539+1 7.758816-6 2.692880+1 7.767564-6 2.640186+1 7.772066-6 2.605708+1 7.785800-6 2.472166+1 7.794145-6 2.372520+1 7.803874-6 2.241744+1 7.812492-6 2.115375+1 7.819218-6 2.011521+1 7.826770-6 1.891014+1 7.833078-6 1.788343+1 7.841189-6 1.655185+1 7.848337-6 1.538076+1 7.855486-6 1.422404+1 7.865950-6 1.257782+1 7.874089-6 1.135134+1 7.878503-6 1.071003+1 7.889144-6 9.242765+0 7.897160-6 8.217502+0 7.899492-6 7.932829+0 7.915817-6 6.117682+0 7.928137-6 4.954502+0 7.934072-6 4.455988+0 7.938837-6 4.083854+0 7.954633-6 3.019238+0 7.960614-6 2.679247+0 7.966560-6 2.372722+0 7.972460-6 2.097682+0 7.978314-6 1.851525+0 7.984122-6 1.631754+0 7.989884-6 1.436000+0 7.995602-6 1.262025+0 8.001275-6 1.107740+0 8.006903-6 9.711987-1 8.012488-6 8.506056-1 8.023526-6 6.507956-1 8.034436-6 4.962138-1 8.045174-6 3.781207-1 8.066151-6 2.216934-1 8.076395-6 1.721302-1 8.086478-6 1.361043-1 8.096404-6 1.105613-1 8.106175-6 9.312358-2 8.115793-6 8.194418-2 8.125260-6 7.558822-2 8.134580-6 7.293779-2 8.143754-6 7.311737-2 8.152785-6 7.543596-2 8.161675-6 7.934282-2 8.170425-6 8.439418-2 8.179040-6 9.022839-2 8.192000-6 1.000397-1 8.204083-6 1.096962-1 8.220133-6 1.223239-1 8.235685-6 1.334064-1 8.258114-6 1.458275-1 8.276807-6 1.519977-1 8.303092-6 1.536078-1 8.328749-6 1.478563-1 8.352926-6 1.374169-1 8.375616-6 1.248932-1 8.397248-6 1.118541-1 8.417527-6 9.954098-2 8.436540-6 8.841638-2 8.454364-6 7.859868-2 8.487784-6 6.211886-2 8.517027-6 4.981174-2 8.568202-6 3.255802-2 8.644964-6 1.503846-2 8.722790-6 5.585178-3 8.744925-6 4.292615-3 8.765730-6 3.633757-3 8.779089-6 3.495257-3 8.787200-6 3.520056-3 8.789991-6 3.547667-3 8.809498-6 4.014159-3 8.831023-6 5.088209-3 8.852547-6 6.757366-3 8.895596-6 1.193907-2 8.917121-6 1.549612-2 8.938645-6 1.973862-2 8.960170-6 2.470679-2 8.981695-6 3.044870-2 9.003219-6 3.702092-2 9.046268-6 5.293010-2 9.067793-6 6.242957-2 9.088222-6 7.251290-2 9.109743-6 8.436303-2 9.132366-6 9.830525-2 9.152190-6 1.118948-1 9.175415-6 1.296135-1 9.234403-6 1.849472-1 9.286016-6 2.489911-1 9.370695-6 4.023922-1 9.405273-6 4.913257-1 9.435528-6 5.882095-1 9.462001-6 6.929097-1 9.485165-6 8.051389-1 9.505434-6 9.242820-1 9.523169-6 1.049286+0 9.538687-6 1.178660+0 9.565844-6 1.463441+0 9.586211-6 1.740549+0 9.601487-6 1.994101+0 9.612943-6 2.214842+0 9.630129-6 2.603057+0 9.647314-6 3.070226+0 9.694805-6 4.865025+0 9.712614-6 5.756841+0 9.729706-6 6.731436+0 9.742296-6 7.521876+0 9.749447-6 7.996719+0 9.766042-6 9.163933+0 9.773385-6 9.705861+0 9.797323-6 1.154774+1 9.805552-6 1.219520+1 9.821261-6 1.342609+1 9.829490-6 1.405774+1 9.837345-6 1.464516+1 9.845199-6 1.521189+1 9.856420-6 1.597447+1 9.869021-6 1.674625+1 9.879545-6 1.730621+1 9.889693-6 1.776038+1 9.893076-6 1.789117+1 9.905045-6 1.826405+1 9.915518-6 1.846737+1 9.920006-6 1.851739+1 9.930479-6 1.854439+1 9.940952-6 1.844318+1 9.949672-6 1.826049+1 9.961085-6 1.788824+1 9.971273-6 1.743329+1 9.977307-6 1.711211+1 9.987461-6 1.649114+1 9.996830-6 1.583665+1 1.001336-5 1.452224+1 1.002371-5 1.361898+1 1.003272-5 1.279799+1 1.004071-5 1.205086+1 1.005099-5 1.107786+1 1.005886-5 1.033208+1 1.006489-5 9.765383+0 1.007350-5 8.967887+0 1.008250-5 8.157540+0 1.009655-5 6.956110+0 1.010740-5 6.093294+0 1.012124-5 5.087333+0 1.013246-5 4.355543+0 1.015714-5 3.016607+0 1.016369-5 2.722569+0 1.018183-5 2.031235+0 1.021305-5 1.211589+0 1.022839-5 9.481937-1 1.023534-5 8.535906-1 1.024190-5 7.771007-1 1.024814-5 7.147929-1 1.025400-5 6.651677-1 1.025949-5 6.259036-1 1.026978-5 5.699188-1 1.027879-5 5.384584-1 1.029867-5 5.216572-1 1.031520-5 5.587313-1 1.034185-5 7.109521-1 1.035293-5 8.072494-1 1.036810-5 9.704160-1 1.039436-5 1.335982+0 1.042170-5 1.819878+0 1.042503-5 1.884965+0 1.044172-5 2.228461+0 1.044729-5 2.348147+0 1.045405-5 2.496106+0 1.047432-5 2.950186+0 1.048507-5 3.191589+0 1.050163-5 3.553542+0 1.050675-5 3.661169+0 1.051570-5 3.842650+0 1.052242-5 3.971886+0 1.053250-5 4.152483+0 1.054257-5 4.314545+0 1.055149-5 4.440300+0 1.055817-5 4.522685+0 1.056319-5 4.577341+0 1.057447-5 4.676746+0 1.057823-5 4.702362+0 1.059100-5 4.760339+0 1.060057-5 4.774037+0 1.060696-5 4.769011+0 1.061813-5 4.733542+0 1.062930-5 4.665594+0 1.063912-5 4.580970+0 1.065091-5 4.452096+0 1.065990-5 4.336354+0 1.067002-5 4.191403+0 1.068520-5 3.952542+0 1.070052-5 3.697487+0 1.074410-5 3.013750+0 1.075425-5 2.883954+0 1.076710-5 2.744078+0 1.077834-5 2.646495+0 1.078754-5 2.584963+0 1.079654-5 2.541213+0 1.080553-5 2.513728+0 1.080881-5 2.507719+0 1.083174-5 2.522873+0 1.083610-5 2.536445+0 1.084374-5 2.567709+0 1.085519-5 2.631193+0 1.086773-5 2.720932+0 1.087466-5 2.778329+0 1.088869-5 2.909022+0 1.092289-5 3.286645+0 1.099023-5 4.191983+0 1.101397-5 4.585524+0 1.103450-5 4.987585+0 1.104846-5 5.308038+0 1.106961-5 5.894144+0 1.107914-5 6.208842+0 1.108890-5 6.571896+0 1.111684-5 7.907498+0 1.113717-5 9.258473+0 1.115480-5 1.079575+1 1.117231-5 1.277417+1 1.118733-5 1.493360+1 1.120051-5 1.726959+1 1.120996-5 1.924963+1 1.122736-5 2.370122+1 1.124175-5 2.832740+1 1.126055-5 3.597076+1 1.130765-5 6.594647+1 1.133030-5 8.764463+1 1.134850-5 1.093544+2 1.135293-5 1.152762+2 1.137516-5 1.488794+2 1.138400-5 1.641185+2 1.139933-5 1.931403+2 1.140444-5 2.035351+2 1.143431-5 2.710722+2 1.143771-5 2.794301+2 1.146350-5 3.463441+2 1.147378-5 3.743019+2 1.148777-5 4.129233+2 1.149730-5 4.392459+2 1.150460-5 4.592870+2 1.151659-5 4.915519+2 1.152952-5 5.249592+2 1.154100-5 5.528985+2 1.155368-5 5.813105+2 1.156861-5 6.106910+2 1.158073-5 6.307341+2 1.159361-5 6.478450+2 1.160659-5 6.603486+2 1.161297-5 6.646651+2 1.162641-5 6.697104+2 1.163626-5 6.698929+2 1.166101-5 6.574813+2 1.166957-5 6.491006+2 1.168318-5 6.318181+2 1.169517-5 6.129213+2 1.170547-5 5.942523+2 1.171649-5 5.721212+2 1.172887-5 5.450514+2 1.173923-5 5.209633+2 1.175250-5 4.886953+2 1.176671-5 4.530738+2 1.178220-5 4.137830+2 1.179645-5 3.779461+2 1.181359-5 3.360463+2 1.182568-5 3.076903+2 1.184882-5 2.570781+2 1.185289-5 2.487242+2 1.188143-5 1.954386+2 1.190467-5 1.589430+2 1.193197-5 1.237830+2 1.196596-5 9.044252+1 1.199304-5 7.082416+1 1.200653-5 6.293951+1 1.202001-5 5.613989+1 1.203345-5 5.028800+1 1.204687-5 4.525768+1 1.206026-5 4.093472+1 1.208700-5 3.400947+1 1.211363-5 2.884717+1 1.214015-5 2.494362+1 1.216657-5 2.193551+1 1.219289-5 1.956775+1 1.221911-5 1.766411+1 1.224522-5 1.610354+1 1.227123-5 1.480245+1 1.230269-5 1.348791+1 1.232295-5 1.276106+1 1.234865-5 1.194802+1 1.239987-5 1.061679+1 1.245068-5 9.582013+0 1.250110-5 8.761546+0 1.255112-5 8.100863+0 1.260336-5 7.536546+0 1.265000-5 7.118230+0 1.269886-5 6.748961+0 1.274733-5 6.439208+0 1.279543-5 6.177428+0 1.285200-5 5.917007+0 1.289051-5 5.764220+0 1.298447-5 5.458187+0 1.307696-5 5.229936+0 1.316801-5 5.059085+0 1.325763-5 4.930852+0 1.334586-5 4.833894+0 1.343270-5 4.760049+0 1.351819-5 4.704203+0 1.360234-5 4.663240+0 1.368518-5 4.634768+0 1.384827-5 4.605993+0 1.401750-5 4.602299+0 1.415932-5 4.611539+0 1.430759-5 4.631446+0 1.459038-5 4.696364+0 1.523121-5 4.902327+0 1.689260-5 5.543669+0 1.754552-5 5.788549+0 1.848306-5 6.113588+0 1.899706-5 6.267914+0 1.935604-5 6.357647+0 1.958013-5 6.398176+0 1.989439-5 6.431834+0 1.996945-5 6.462015+0 2.001865-5 6.501411+0 2.008128-5 6.587082+0 2.015537-5 6.758981+0 2.019962-5 6.905303+0 2.022947-5 7.023383+0 2.027887-5 7.250923+0 2.043941-5 8.135857+0 2.050115-5 8.437645+0 2.051968-5 8.513420+0 2.056907-5 8.671821+0 2.061847-5 8.758096+0 2.066169-5 8.771302+0 2.069371-5 8.745130+0 2.074196-5 8.654765+0 2.079754-5 8.491593+0 2.085928-5 8.266170+0 2.095808-5 7.890460+0 2.103161-5 7.649576+0 2.109758-5 7.479972+0 2.117538-5 7.338914+0 2.134221-5 7.222419+0 2.139391-5 7.232101+0 2.145824-5 7.274212+0 2.151079-5 7.333570+0 2.156335-5 7.414326+0 2.166474-5 7.617666+0 2.179986-5 7.914154+0 2.187870-5 8.050935+0 2.194440-5 8.127127+0 2.201966-5 8.170907+0 2.214149-5 8.174696+0 2.232050-5 8.168395+0 2.245641-5 8.216030+0 2.286308-5 8.434150+0 2.533772-5 9.624870+0 2.683265-5 1.032890+1 2.892053-5 1.126012+1 3.114433-5 1.217999+1 3.276800-5 1.279752+1 3.529328-5 1.369423+1 3.781743-5 1.448183+1 3.981072-5 1.504308+1 4.241310-5 1.567967+1 4.647580-5 1.650439+1 4.880125-5 1.690129+1 5.225466-5 1.738895+1 5.530983-5 1.773475+1 6.106492-5 1.821983+1 6.839116-5 1.861681+1 7.213739-5 1.875357+1 7.717915-5 1.887998+1 8.687729-5 1.899985+1 9.798233-5 1.901740+1 1.153301-4 1.888786+1 1.325458-4 1.864454+1 1.469800-4 1.839417+1 1.632934-4 1.807152+1 1.781596-4 1.773271+1 1.878326-4 1.749330+1 2.056126-4 1.700797+1 2.173766-4 1.665324+1 2.275767-4 1.631385+1 2.406123-4 1.584443+1 2.507364-4 1.544367+1 2.632033-4 1.490178+1 2.746008-4 1.434880+1 2.852572-4 1.377172+1 2.958671-4 1.312436+1 3.063593-4 1.240020+1 3.156809-4 1.166765+1 3.233222-4 1.098786+1 3.304456-4 1.027644+1 3.368218-4 9.559302+0 3.426137-4 8.826559+0 3.479536-4 8.067888+0 3.522424-4 7.400522+0 3.562091-4 6.864298+0 3.573260-4 6.770245+0 3.617258-4 6.715159+0 3.649908-4 6.898846+0 3.677603-4 7.165297+0 3.701308-4 7.503265+0 3.721865-4 7.923848+0 3.735984-4 8.318400+0 3.748470-4 8.776118+0 3.759444-4 9.302511+0 3.770461-4 1.000304+1 3.781412-4 1.095006+1 3.791566-4 1.214861+1 3.797507-4 1.303942+1 3.802706-4 1.395942+1 3.807255-4 1.488771+1 3.812852-4 1.620825+1 3.817765-4 1.754677+1 3.824805-4 1.978999+1 3.833067-4 2.295533+1 3.853495-4 3.340635+1 3.858220-4 3.632385+1 3.868851-4 4.340470+1 3.877120-4 4.921410+1 3.880368-4 5.151489+1 3.887751-4 5.666959+1 3.893694-4 6.063566+1 3.899268-4 6.410346+1 3.904307-4 6.695367+1 3.909604-4 6.958856+1 3.914546-4 7.165555+1 3.921155-4 7.374748+1 3.925557-4 7.467389+1 3.930694-4 7.525332+1 3.935357-4 7.529755+1 3.944600-4 7.402556+1 3.948942-4 7.282412+1 3.954810-4 7.063308+1 3.959206-4 6.860394+1 3.962903-4 6.667034+1 3.968490-4 6.341566+1 3.973422-4 6.027869+1 3.978590-4 5.680754+1 3.984261-4 5.288042+1 3.990520-4 4.853111+1 3.998536-4 4.314590+1 4.013001-4 3.463473+1 4.019383-4 3.156012+1 4.025749-4 2.895920+1 4.029816-4 2.754186+1 4.035345-4 2.591122+1 4.039867-4 2.481750+1 4.043663-4 2.405403+1 4.046090-4 2.363480+1 4.052205-4 2.279383+1 4.055052-4 2.249692+1 4.058286-4 2.222384+1 4.061201-4 2.203013+1 4.066972-4 2.177260+1 4.074090-4 2.163762+1 4.082240-4 2.165525+1 4.092920-4 2.183762+1 4.122673-4 2.254776+1 4.148006-4 2.301371+1 4.190279-4 2.359877+1 4.344008-4 2.560385+1 4.427929-4 2.668369+1 4.510571-4 2.769768+1 4.587307-4 2.858256+1 4.652352-4 2.925024+1 4.760295-4 3.021067+1 4.878384-4 3.104940+1 5.045651-4 3.193809+1 5.175575-4 3.247700+1 5.401834-4 3.319796+1 5.745766-4 3.409182+1 6.205080-4 3.493934+1 6.531306-4 3.532501+1 7.010723-4 3.559864+1 7.630133-4 3.566120+1 8.140011-4 3.555165+1 9.507288-4 3.473364+1 1.110468-3 3.368140+1 1.349467-3 3.170988+1 1.451889-3 3.092473+1 1.649110-3 2.924154+1 1.883649-3 2.733852+1 2.095491-3 2.569790+1 2.273315-3 2.438582+1 2.469324-3 2.301057+1 2.687717-3 2.156228+1 2.925537-3 2.009427+1 3.234118-3 1.835644+1 3.574882-3 1.664723+1 3.939131-3 1.503983+1 4.407372-3 1.327626+1 4.989675-3 1.148120+1 5.800167-3 9.551769+0 7.613768-3 6.770674+0 1.189371-2 3.837320+0 1.409741-2 3.072968+0 1.593647-2 2.603880+0 1.776857-2 2.234134+0 2.005877-2 1.870658+0 2.248527-2 1.572810+0 2.494722-2 1.335270+0 2.782549-2 1.116837+0 3.283102-2 8.445586-1 3.937653-2 6.168148-1 4.697589-2 4.513013-1 5.619661-2 3.262974-1 6.868889-2 2.251817-1 8.409726-2 1.538281-1 1.059903-1 9.876522-2 1.409254-1 5.675763-2 2.018366-1 2.798306-2 3.502653-1 9.361626-3 1.070165+0 1.006291-3 3.231848+0 1.103782-4 9.760024+0 1.210322-5 2.947480+1 1.327097-6 8.901248+1 1.455134-7 2.688134+2 1.595523-8 8.118035+2 1.749456-9 2.511886+3 1.82728-10 7.943282+3 1.82728-11 2.511886+4 1.82728-12 7.943282+4 1.82728-13 1.000000+5 1.15293-13 1 7000 7 7 1.400670+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 7000 7 0 1.400670+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.817000-7 1.258900-6 4.464700-7 1.584900-6 7.076000-7 1.995300-6 1.121500-6 2.511900-6 1.777400-6 3.162300-6 2.817000-6 3.981100-6 4.464600-6 5.011900-6 7.075900-6 6.309600-6 1.121400-5 7.943300-6 1.777400-5 1.000000-5 2.816900-5 1.258900-5 4.464400-5 1.584900-5 7.075500-5 1.995300-5 1.121400-4 2.511900-5 1.777200-4 3.162300-5 2.816600-4 3.981100-5 4.463700-4 5.011900-5 7.074200-4 6.309600-5 1.121100-3 7.943300-5 1.776700-3 1.000000-4 2.814300-3 1.258900-4 4.456000-3 1.584900-4 7.055800-3 1.995300-4 1.116300-2 2.511900-4 1.765100-2 3.162300-4 2.787500-2 3.981100-4 4.390900-2 5.011900-4 6.893500-2 6.309600-4 1.077600-1 7.943300-4 1.671800-1 1.000000-3 2.563300-1 1.258900-3 3.867700-1 1.584900-3 5.703800-1 1.995300-3 8.158500-1 2.511900-3 1.124000+0 3.162300-3 1.481600+0 3.981100-3 1.863100+0 5.011900-3 2.234700+0 6.309600-3 2.569100+0 7.943300-3 2.852800+0 1.000000-2 3.093300+0 1.258900-2 3.314200+0 1.584900-2 3.500800+0 1.995300-2 3.653900+0 2.511900-2 3.762200+0 3.162300-2 3.815500+0 3.981100-2 3.815400+0 5.011900-2 3.766900+0 6.309600-2 3.678300+0 7.943300-2 3.554600+0 1.000000-1 3.402300+0 1.258900-1 3.227400+0 1.584900-1 3.036200+0 1.995300-1 2.834500+0 2.511900-1 2.627700+0 3.162300-1 2.420700+0 3.981100-1 2.217100+0 5.011900-1 2.019500+0 6.309600-1 1.829800+0 7.943300-1 1.648900+0 1.000000+0 1.477500+0 1.258900+0 1.316200+0 1.584900+0 1.165400+0 1.995300+0 1.025400+0 2.511900+0 8.967800-1 3.162300+0 7.795100-1 3.981100+0 6.736400-1 5.011900+0 5.789400-1 6.309600+0 4.949800-1 7.943300+0 4.211800-1 1.000000+1 3.568000-1 1.258900+1 3.010600-1 1.584900+1 2.531000-1 1.995300+1 2.120700-1 2.511900+1 1.771700-1 3.162300+1 1.476100-1 3.981100+1 1.226800-1 5.011900+1 1.017400-1 6.309600+1 8.420200-2 7.943300+1 6.956200-2 1.000000+2 5.737200-2 1.258900+2 4.724700-2 1.584900+2 3.885500-2 1.995300+2 3.191200-2 2.511900+2 2.618000-2 3.162300+2 2.145400-2 3.981100+2 1.756300-2 5.011900+2 1.436500-2 6.309600+2 1.173900-2 7.943300+2 9.584700-3 1.000000+3 7.820000-3 1.258900+3 6.375500-3 1.584900+3 5.194400-3 1.995300+3 4.229300-3 2.511900+3 3.441500-3 3.162300+3 2.798700-3 3.981100+3 2.274800-3 5.011900+3 1.848000-3 6.309600+3 1.500500-3 7.943300+3 1.217800-3 1.000000+4 9.878600-4 1.258900+4 8.010100-4 1.584900+4 6.492300-4 1.995300+4 5.260000-4 2.511900+4 4.259900-4 3.162300+4 3.448700-4 3.981100+4 2.791000-4 5.011900+4 2.257900-4 6.309600+4 1.826000-4 7.943300+4 1.476300-4 1.000000+5 1.193200-4 1 7000 7 7 1.400670+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584205-4 1.995262-4 1.994173-4 2.511886-4 2.510160-4 3.162278-4 3.159544-4 3.981072-4 3.976743-4 5.011872-4 5.005022-4 6.309573-4 6.298738-4 7.943282-4 7.926121-4 1.000000-3 9.972996-4 1.258925-3 1.254675-3 1.584893-3 1.578207-3 1.995262-3 1.984830-3 2.511886-3 2.495649-3 3.162278-3 3.137139-3 3.981072-3 3.942358-3 5.011872-3 4.952496-3 6.309573-3 6.218947-3 7.943282-3 7.804769-3 1.000000-2 9.787687-3 1.258925-2 1.226285-2 1.584893-2 1.534524-2 1.995262-2 1.917586-2 2.511886-2 2.392461-2 3.162278-2 2.979801-2 3.981072-2 3.703757-2 5.011872-2 4.592691-2 6.309573-2 5.679311-2 7.943282-2 7.001313-2 1.000000-1 8.602744-2 1.258925-1 1.053364-1 1.584893-1 1.285170-1 1.995262-1 1.562403-1 2.511886-1 1.892780-1 3.162278-1 2.285172-1 3.981072-1 2.749547-1 5.011872-1 3.297889-1 6.309573-1 3.943809-1 7.943282-1 4.704027-1 1.000000+0 5.598565-1 1.258925+0 6.652224-1 1.584893+0 7.895568-1 1.995262+0 9.366315-1 2.511886+0 1.111148+0 3.162278+0 1.318838+0 3.981072+0 1.566722+0 5.011872+0 1.863468+0 6.309573+0 2.219604+0 7.943282+0 2.648080+0 1.000000+1 3.164640+0 1.258925+1 3.788643+0 1.584893+1 4.543757+0 1.995262+1 5.458888+0 2.511886+1 6.569619+0 3.162278+1 7.919554+0 3.981072+1 9.561994+0 5.011872+1 1.156274+1 6.309573+1 1.400236+1 7.943282+1 1.697994+1 1.000000+2 2.061730+1 1.258925+2 2.506454+1 1.584893+2 3.050617+1 1.995262+2 3.716936+1 2.511886+2 4.533443+1 3.162278+2 5.534685+1 3.981072+2 6.763145+1 5.011872+2 8.271453+1 6.309573+2 1.012442+2 7.943282+2 1.240202+2 1.000000+3 1.520295+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 7000 7 9 1.400670+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090665-8 7.943282-5 1.728482-8 1.000000-4 2.738902-8 1.258925-4 4.339899-8 1.584893-4 6.877324-8 1.995262-4 1.089546-7 2.511886-4 1.726211-7 3.162278-4 2.734077-7 3.981072-4 4.328513-7 5.011872-4 6.850367-7 6.309573-4 1.083509-6 7.943282-4 1.716127-6 1.000000-3 2.700424-6 1.258925-3 4.250875-6 1.584893-3 6.685974-6 1.995262-3 1.043278-5 2.511886-3 1.623741-5 3.162278-3 2.513842-5 3.981072-3 3.871338-5 5.011872-3 5.937602-5 6.309573-3 9.062657-5 7.943282-3 1.385137-4 1.000000-2 2.123126-4 1.258925-2 3.264031-4 1.584893-2 5.036955-4 1.995262-2 7.767680-4 2.511886-2 1.194259-3 3.162278-2 1.824764-3 3.981072-2 2.773152-3 5.011872-2 4.191815-3 6.309573-2 6.302621-3 7.943282-2 9.419696-3 1.000000-1 1.397256-2 1.258925-1 2.055611-2 1.584893-1 2.997232-2 1.995262-1 4.328592-2 2.511886-1 6.191062-2 3.162278-1 8.771060-2 3.981072-1 1.231524-1 5.011872-1 1.713983-1 6.309573-1 2.365765-1 7.943282-1 3.239256-1 1.000000+0 4.401435-1 1.258925+0 5.937030-1 1.584893+0 7.953364-1 1.995262+0 1.058631+0 2.511886+0 1.400738+0 3.162278+0 1.843440+0 3.981072+0 2.414350+0 5.011872+0 3.148404+0 6.309573+0 4.089969+0 7.943282+0 5.295202+0 1.000000+1 6.835360+0 1.258925+1 8.800611+0 1.584893+1 1.130517+1 1.995262+1 1.449373+1 2.511886+1 1.854925+1 3.162278+1 2.370322+1 3.981072+1 3.024872+1 5.011872+1 3.855598+1 6.309573+1 4.909338+1 7.943282+1 6.245288+1 1.000000+2 7.938270+1 1.258925+2 1.008280+2 1.584893+2 1.279831+2 1.995262+2 1.623569+2 2.511886+2 2.058542+2 3.162278+2 2.608809+2 3.981072+2 3.304757+2 5.011872+2 4.184727+2 6.309573+2 5.297132+2 7.943282+2 6.703081+2 1.000000+3 8.479705+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 7000 7 0 1.400670+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 1.148000-5 7.513300+6 1.150000-5 7.521724+6 1.150000-5 1.126542+7 1.180000-5 1.145118+7 1.190000-5 1.150107+7 1.220000-5 1.163217+7 1.230269-5 1.166531+7 1.273503-5 1.178273+7 1.333521-5 1.185279+7 1.400000-5 1.183776+7 1.479108-5 1.173321+7 1.570000-5 1.153026+7 1.659587-5 1.127178+7 1.678804-5 1.120985+7 1.778279-5 1.088214+7 1.800000-5 1.080533+7 1.905461-5 1.043275+7 1.927525-5 1.035166+7 2.041738-5 9.937405+6 2.070000-5 9.832503+6 2.213095-5 9.318481+6 2.230000-5 9.257128+6 2.310000-5 8.968055+6 2.310000-5 9.608387+6 2.371374-5 9.448699+6 2.400000-5 9.376109+6 2.426610-5 9.304870+6 2.430000-5 9.295605+6 2.483133-5 9.150694+6 2.550000-5 8.975253+6 2.580000-5 8.897896+6 2.600160-5 8.843364+6 2.630268-5 8.761074+6 2.700000-5 8.574534+6 2.786121-5 8.354660+6 2.800000-5 8.317368+6 2.890000-5 8.078794+6 3.000000-5 7.803639+6 3.019952-5 7.751852+6 3.126079-5 7.482547+6 3.230000-5 7.233833+6 3.235937-5 7.219401+6 3.260000-5 7.159956+6 3.400000-5 6.827914+6 3.467369-5 6.676752+6 3.570000-5 6.442636+6 3.715352-5 6.132717+6 3.758374-5 6.040625+6 3.935501-5 5.682157+6 3.981072-5 5.593132+6 4.168694-5 5.240334+6 4.220000-5 5.147604+6 4.466836-5 4.726709+6 4.500000-5 4.673045+6 4.731513-5 4.315563+6 4.800000-5 4.215766+6 5.069907-5 3.848165+6 5.128614-5 3.773296+6 5.150000-5 3.746232+6 5.432503-5 3.412816+6 5.500000-5 3.338613+6 5.821032-5 3.011615+6 5.900000-5 2.937549+6 6.309573-5 2.589124+6 6.382635-5 2.532047+6 6.800000-5 2.239486+6 6.839116-5 2.214477+6 6.918310-5 2.164288+6 7.328245-5 1.929811+6 7.500000-5 1.842041+6 7.585776-5 1.799957+6 7.852356-5 1.677710+6 8.317638-5 1.490679+6 8.413951-5 1.455665+6 8.485300-5 1.430413+6 9.120108-5 1.229696+6 9.440609-5 1.143091+6 9.500000-5 1.127930+6 9.900000-5 1.033071+6 1.080000-4 8.568744+5 1.083927-4 8.501315+5 1.188502-4 6.948793+5 1.220000-4 6.558154+5 1.244515-4 6.275600+5 1.318257-4 5.522421+5 1.364583-4 5.110116+5 1.412538-4 4.728741+5 1.479108-4 4.262810+5 1.531087-4 3.940268+5 1.584893-4 3.642206+5 1.659587-4 3.278617+5 1.720000-4 3.018882+5 1.800000-4 2.718540+5 1.862087-4 2.513801+5 1.949845-4 2.257175+5 2.065380-4 1.973784+5 2.089296-4 1.921506+5 2.344229-4 1.463927+5 2.630268-4 1.112127+5 2.691535-4 1.051922+5 3.000000-4 8.098800+4 3.090295-4 7.534844+4 3.273407-4 6.551106+4 3.548134-4 5.387149+4 3.758374-4 4.677487+4 4.027170-4 3.948549+4 4.048500-4 3.897755+4 4.048500-4 6.974976+5 4.073803-4 6.887019+5 4.120975-4 6.705516+5 4.155000-4 6.578694+5 4.216965-4 6.393319+5 4.450000-4 5.863680+5 4.550000-4 5.626132+5 4.570882-4 5.571470+5 4.677351-4 5.304541+5 4.786301-4 5.021687+5 4.850000-4 4.866136+5 5.188000-4 4.118131+5 5.248075-4 4.002337+5 5.308844-4 3.889696+5 5.432503-4 3.681011+5 6.000000-4 2.901581+5 6.025596-4 2.872156+5 6.100000-4 2.788914+5 6.237348-4 2.637885+5 6.531306-4 2.350973+5 7.000000-4 1.966839+5 7.413102-4 1.696766+5 8.035261-4 1.378708+5 8.128305-4 1.337494+5 8.609938-4 1.149073+5 8.912509-4 1.049015+5 9.225714-4 9.558030+4 9.885531-4 7.934947+4 1.011579-3 7.457663+4 1.059254-3 6.586821+4 1.083927-3 6.190326+4 1.096478-3 5.997756+4 1.174898-3 4.961777+4 1.216186-3 4.512669+4 1.230269-3 4.372185+4 1.244515-3 4.234113+4 1.364583-3 3.275493+4 1.396368-3 3.071751+4 1.428894-3 2.880678+4 1.479108-3 2.616127+4 1.603245-3 2.081533+4 1.717908-3 1.710915+4 1.757924-3 1.602667+4 1.840772-3 1.403859+4 1.883649-3 1.313905+4 2.000000-3 1.105725+4 2.065380-3 1.007954+4 2.187762-3 8.521634+3 2.264644-3 7.704447+3 2.398833-3 6.512856+3 2.483133-3 5.888311+3 2.576800-3 5.277481+3 2.630268-3 4.966222+3 2.818383-3 4.047888+3 3.019952-3 3.299394+3 3.054921-3 3.187488+3 3.090295-3 3.079303+3 3.507519-3 2.106193+3 3.630781-3 1.898944+3 3.715352-3 1.772157+3 4.315191-3 1.124981+3 4.365158-3 1.086337+3 4.415704-3 1.049020+3 4.570882-3 9.445214+2 5.308844-3 5.965065+2 5.432503-3 5.557637+2 5.495409-3 5.364480+2 5.623413-3 4.998076+2 6.606934-3 3.030273+2 6.918310-3 2.626367+2 7.000000-3 2.532324+2 7.244360-3 2.273794+2 8.128305-3 1.584289+2 8.511380-3 1.370986+2 8.709636-3 1.275358+2 9.332543-3 1.024481+2 1.011579-2 7.934559+1 1.096478-2 6.144377+1 1.224700-2 4.311638+1 1.273503-2 3.804420+1 1.412538-2 2.729502+1 1.428894-2 2.629766+1 1.603245-2 1.812389+1 1.640590-2 1.682294+1 1.840772-2 1.159199+1 1.862087-2 1.116486+1 2.065380-2 7.963597+0 2.454709-2 4.533437+0 2.754229-2 3.105495+0 3.090295-2 2.126995+0 3.349654-2 1.631968+0 3.801894-2 1.073424+0 4.315191-2 7.059468-1 4.623810-2 5.616945-1 5.188000-2 3.837492-1 5.495409-2 3.169777-1 5.956621-2 2.425511-1 6.025596-2 2.334530-1 6.918310-2 1.475456-1 7.328245-2 1.218698-1 8.317638-2 8.002573-2 8.810489-2 6.609974-2 9.772372-2 4.685395-2 9.885531-2 4.509623-2 1.059254-1 3.591289-2 1.135011-1 2.859967-2 1.216186-1 2.277572-2 1.303167-1 1.813772-2 1.333521-1 1.681204-2 1.380384-1 1.501810-2 1.396368-1 1.446372-2 1.496236-1 1.154311-2 1.548817-1 1.031204-2 1.621810-1 8.872395-3 1.698244-1 7.646918-3 1.737801-1 7.099562-3 1.905461-1 5.274868-3 1.927525-1 5.082580-3 1.949845-1 4.899379-3 2.018366-1 4.388467-3 2.137962-1 3.653018-3 2.187762-1 3.394589-3 2.264644-1 3.040824-3 2.344229-1 2.728497-3 2.371374-1 2.631771-3 2.398833-1 2.538474-3 2.600160-1 1.971718-3 2.630268-1 1.903024-3 2.638800-1 1.884136-3 2.660725-1 1.836723-3 2.884032-1 1.433324-3 2.917427-1 1.383436-3 2.951209-1 1.335284-3 3.019952-1 1.245588-3 3.162278-1 1.084029-3 3.235937-1 1.011287-3 3.311311-1 9.434265-4 3.388442-1 8.813551-4 3.467369-1 8.234341-4 3.589219-1 7.436114-4 3.672823-1 6.947426-4 3.758374-1 6.500624-4 3.935501-1 5.692347-4 4.073803-1 5.152806-4 4.168694-1 4.829411-4 4.265795-1 4.526713-4 4.415705-1 4.107862-4 4.466836-1 3.977044-4 4.570882-1 3.733662-4 4.677351-1 3.505488-4 4.731513-1 3.396683-4 4.897788-1 3.090119-4 5.011872-1 2.906236-4 5.128614-1 2.733557-4 5.370318-1 2.418371-4 5.495409-1 2.278757-4 5.559043-1 2.212114-4 5.754399-1 2.023653-4 5.888437-1 1.907018-4 6.025596-1 1.800448-4 6.309573-1 1.605163-4 6.447400-1 1.520977-4 6.531306-1 1.474316-4 6.839117-1 1.319719-4 6.998420-1 1.248611-4 7.079458-1 1.215547-4 7.413102-1 1.092025-4 7.585776-1 1.035054-4 7.673615-1 1.008582-4 7.762471-1 9.828368-5 8.035261-1 9.094770-5 8.222427-1 8.636382-5 8.317638-1 8.423808-5 8.413951-1 8.216886-5 9.015711-1 7.077821-5 9.120108-1 6.909922-5 9.549926-1 6.278390-5 9.772372-1 5.984611-5 1.000000+0 5.704578-5 1.011579+0 5.573104-5 1.074800+0 4.929960-5 1.135011+0 4.415307-5 1.174898+0 4.125710-5 1.216186+0 3.855113-5 1.258925+0 3.602263-5 1.303167+0 3.375664-5 1.318257+0 3.303345-5 1.380384+0 3.029237-5 1.428894+0 2.846938-5 1.500000+0 2.609017-5 1.531087+0 2.519518-5 1.621810+0 2.284419-5 1.640590+0 2.242182-5 1.659587+0 2.200727-5 1.778279+0 1.967607-5 1.798871+0 1.933005-5 1.819701+0 1.899012-5 1.949845+0 1.707247-5 2.089296+0 1.540080-5 2.238721+0 1.389280-5 2.398833+0 1.257946-5 2.570396+0 1.139028-5 2.754229+0 1.035118-5 2.951209+0 9.406881-6 3.162278+0 8.580911-6 3.427678+0 7.708490-6 3.672823+0 7.055101-6 4.027170+0 6.269243-6 4.365158+0 5.672961-6 4.786301+0 5.060620-6 5.248075+0 4.531064-6 5.821032+0 4.001256-6 6.456542+0 3.546766-6 7.244360+0 3.102063-6 8.128305+0 2.723167-6 9.225714+0 2.359610-6 1.059254+1 2.026008-6 1.174898+1 1.807140-6 1.188502+1 1.784803-6 1.513561+1 1.374521-6 1.566751+1 1.324177-6 2.200000+1 9.243084-7 2.213095+1 9.185173-7 2.238721+1 9.073967-7 2.264644+1 8.964107-7 3.467369+1 5.757609-7 3.507519+1 5.689130-7 3.548134+1 5.621520-7 3.630781+1 5.488699-7 6.095369+1 3.229731-7 6.165950+1 3.191895-7 6.309573+1 3.117590-7 6.382635+1 3.081088-7 1.216186+2 1.603804-7 1.230269+2 1.585213-7 1.258925+2 1.548690-7 1.273503+2 1.530744-7 2.426610+2 8.000078-8 2.454709+2 7.907913-8 2.511886+2 7.726804-8 2.540973+2 7.637807-8 1.927525+3 1.003027-8 1.949845+3 9.915240-9 1.995262+3 9.689146-9 2.018366+3 9.578038-9 1.000000+5 1.93196-10 1 7000 7 0 1.400670+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 1.148000-5 1.148000-5 2.310000-5 1.148667-5 2.310000-5 1.226061-5 2.700000-5 1.269874-5 3.126079-5 1.309026-5 3.758374-5 1.357713-5 5.150000-5 1.452399-5 6.382635-5 1.529342-5 7.585776-5 1.595616-5 8.485300-5 1.638736-5 9.900000-5 1.695289-5 1.083927-4 1.726424-5 1.244515-4 1.771827-5 1.479108-4 1.826730-5 1.720000-4 1.872625-5 1.949845-4 1.909588-5 2.089296-4 1.929272-5 2.344229-4 1.959716-5 2.691535-4 1.992163-5 3.273407-4 2.032689-5 4.048500-4 2.073119-5 4.048500-4 3.288370-5 5.432503-4 3.297693-5 1.603245-3 3.304730-5 1.000000+5 3.304938-5 1 7000 7 7 1.400670+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.148000-5 0.0 4.048500-4 0.0 4.048500-4 1.323559-6 4.786301-4 1.330190-6 8.912509-4 1.333873-6 7.244360-3 1.329948-6 2.264644-1 1.328064-6 1.000000+5 1.328056-6 1 7000 7 9 1.400670+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.148000-5 0.0 1.150000-5 2.000000-8 1.150000-5 1.335365-8 2.310000-5 1.161333-5 2.310000-5 1.083939-5 2.700000-5 1.430126-5 3.260000-5 1.940038-5 4.800000-5 3.370701-5 7.328245-5 5.745620-5 9.900000-5 8.204711-5 1.531087-4 1.347377-4 2.691535-4 2.492319-4 4.048500-4 3.841188-4 4.048500-4 3.706427-4 1.000000+5 1.000000+5 1 7000 7 0 1.400670+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 4.048500-4 6.585200+5 4.073803-4 6.503148+5 4.155000-4 6.213060+5 4.216965-4 6.040912+5 4.450000-4 5.555480+5 4.550000-4 5.334500+5 4.677351-4 5.032248+5 4.850000-4 4.617740+5 5.308844-4 3.692204+5 6.100000-4 2.650820+5 6.531306-4 2.235427+5 8.035261-4 1.311643+5 8.912509-4 9.981121+4 1.083927-3 5.888841+4 1.230269-3 4.158482+4 1.479108-3 2.487555+4 1.757924-3 1.523374+4 2.065380-3 9.577851+3 2.483133-3 5.593454+3 3.019952-3 3.133184+3 3.715352-3 1.682436+3 4.570882-3 8.964811+2 5.623413-3 4.742900+2 7.000000-3 2.402480+2 8.709636-3 1.209692+2 1.096478-2 5.826726+1 1.412538-2 2.587850+1 1.840772-2 1.098848+1 2.454709-2 4.296775+0 3.349654-2 1.546574+0 5.188000-2 3.636171-1 9.885531-2 4.272117-2 1.333521-1 1.592585-2 1.621810-1 8.404857-3 1.927525-1 4.814854-3 2.264644-1 2.880668-3 2.600160-1 1.867886-3 2.951209-1 1.264959-3 3.311311-1 8.937379-4 3.672823-1 6.581525-4 4.073803-1 4.881411-4 4.466836-1 3.767596-4 4.897788-1 2.927381-4 5.370318-1 2.291013-4 5.888437-1 1.806591-4 6.447400-1 1.440900-4 6.998420-1 1.182876-4 7.585776-1 9.805564-5 8.222427-1 8.181552-5 9.015711-1 6.704981-5 1.000000+0 5.404000-5 1.135011+0 4.182720-5 1.258925+0 3.412511-5 1.380384+0 2.869679-5 1.500000+0 2.471600-5 1.621810+0 2.164098-5 1.778279+0 1.863971-5 1.949845+0 1.617326-5 2.238721+0 1.316109-5 2.570396+0 1.079036-5 2.951209+0 8.911409-6 3.427678+0 7.302475-6 4.027170+0 5.939036-6 4.786301+0 4.794069-6 5.821032+0 3.790507-6 7.244360+0 2.938673-6 9.225714+0 2.235326-6 1.174898+1 1.711958-6 1.566751+1 1.254430-6 2.264644+1 8.491848-7 3.630781+1 5.199537-7 6.382635+1 2.918789-7 1.273503+2 1.450114-7 2.540973+2 7.235488-8 2.018366+3 9.073546-9 1.000000+5 1.83020-10 1 7000 7 0 1.400670+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 4.048500-4 3.360300-5 1.000000+5 3.360300-5 1 7000 7 7 1.400670+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.048500-4 1.401900-6 1.000000+5 1.401900-6 1 7000 7 9 1.400670+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.048500-4 3.698451-4 1.000000+5 1.000000+5 1 7000 7 0 1.400670+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.310000-5 6.403320+5 2.371374-5 6.898334+5 2.430000-5 7.343000+5 2.483133-5 7.713879+5 2.550000-5 8.142460+5 2.630268-5 8.598471+5 2.700000-5 8.949160+5 2.786121-5 9.327772+5 2.890000-5 9.710440+5 3.000000-5 1.003890+6 3.126079-5 1.033200+6 3.260000-5 1.056080+6 3.400000-5 1.072368+6 3.570000-5 1.083604+6 3.758374-5 1.087344+6 3.981072-5 1.082907+6 4.220000-5 1.070304+6 4.500000-5 1.048200+6 4.800000-5 1.018722+6 5.150000-5 9.797780+5 5.500000-5 9.380880+5 5.900000-5 8.891400+5 6.309573-5 8.392192+5 6.800000-5 7.809440+5 7.328245-5 7.211166+5 7.852356-5 6.654583+5 8.485300-5 6.036167+5 9.120108-5 5.474406+5 9.900000-5 4.862500+5 1.080000-4 4.254340+5 1.188502-4 3.642102+5 1.318257-4 3.053026+5 1.479108-4 2.488907+5 1.659587-4 2.014085+5 1.862087-4 1.618710+5 2.089296-4 1.291565+5 2.344229-4 1.022374+5 2.630268-4 8.029621+4 3.000000-4 6.045020+4 3.548134-4 4.174415+4 4.120975-4 2.981339+4 4.677351-4 2.226983+4 5.248075-4 1.696289+4 6.025596-4 1.213983+4 7.000000-4 8.380120+3 8.128305-4 5.748945+3 1.011579-3 3.280199+3 1.174898-3 2.217365+3 1.364583-3 1.488374+3 1.603245-3 9.615603+2 1.883649-3 6.164409+2 2.187762-3 4.050377+2 2.576800-3 2.539479+2 3.054921-3 1.550799+2 3.630781-3 9.332931+1 4.415704-3 5.206746+1 5.308844-3 2.984177+1 6.606934-3 1.528329+1 8.128305-3 8.047564+0 1.011579-2 4.057664+0 1.273503-2 1.957215+0 1.603245-2 9.369711-1 2.065380-2 4.134378-1 2.754229-2 1.618351-1 3.801894-2 5.612158-2 6.025596-2 1.224284-2 9.885531-2 2.371405-3 1.396368-1 7.605520-4 1.698244-1 4.019406-4 2.018366-1 2.306308-4 2.344229-1 1.433838-4 2.660725-1 9.654159-5 3.019952-1 6.547604-5 3.388442-1 4.633002-5 3.758374-1 3.416987-5 4.168694-1 2.538621-5 4.570882-1 1.962503-5 5.011872-1 1.527451-5 5.495409-1 1.197581-5 6.025596-1 9.461629-6 6.531306-1 7.750108-6 7.079458-1 6.390595-6 7.673615-1 5.302956-6 8.317638-1 4.430059-6 9.120108-1 3.635029-6 1.011579+0 2.933122-6 1.135011+0 2.324408-6 1.258925+0 1.896324-6 1.380384+0 1.594570-6 1.500000+0 1.373300-6 1.621810+0 1.202448-6 1.778279+0 1.035701-6 1.949845+0 8.986449-7 2.238721+0 7.312521-7 2.570396+0 5.995401-7 2.951209+0 4.951591-7 3.427678+0 4.057588-7 4.027170+0 3.299984-7 4.786301+0 2.663826-7 5.821032+0 2.106154-7 7.244360+0 1.632865-7 9.225714+0 1.242059-7 1.174898+1 9.512231-8 1.566751+1 6.970253-8 2.213095+1 4.834027-8 3.507519+1 2.993876-8 6.165950+1 1.679718-8 1.230269+2 8.342980-9 2.454709+2 4.162225-9 1.949845+3 5.21894-10 1.000000+5 1.01700-11 1 7000 7 0 1.400670+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.310000-5 2.310000-5 1.000000+5 2.310000-5 1 7000 7 9 1.400670+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.310000-5 0.0 1.000000+5 1.000000+5 1 7000 7 0 1.400670+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.150000-5 3.743700+6 1.190000-5 3.823600+6 1.230269-5 3.879700+6 1.273503-5 3.918600+6 1.333521-5 3.943800+6 1.400000-5 3.939300+6 1.479108-5 3.906400+6 1.570000-5 3.839200+6 1.678804-5 3.734500+6 1.800000-5 3.600700+6 1.927525-5 3.450600+6 2.070000-5 3.278600+6 2.230000-5 3.086500+6 2.426610-5 2.858800+6 2.600160-5 2.668700+6 2.800000-5 2.461400+6 3.019952-5 2.249400+6 3.235937-5 2.057700+6 3.467369-5 1.868400+6 3.715352-5 1.683600+6 3.981072-5 1.505400+6 4.220000-5 1.361300+6 4.500000-5 1.210000+6 4.800000-5 1.067500+6 5.128614-5 9.321000+5 5.500000-5 8.015900+5 5.900000-5 6.841200+5 6.382635-5 5.684500+5 6.918310-5 4.667600+5 7.585776-5 3.698300+5 8.413951-5 2.824600+5 9.500000-5 2.043600+5 1.083927-4 1.426800+5 1.220000-4 1.027400+5 1.364583-4 7.482600+4 1.531087-4 5.363800+4 1.720000-4 3.801800+4 1.949845-4 2.602500+4 2.344229-4 1.477000+4 3.090295-4 6.265300+3 3.548134-4 4.059000+3 4.027170-4 2.706700+3 4.570882-4 1.790800+3 5.188000-4 1.176300+3 6.000000-4 7.200500+2 7.413102-4 3.485900+2 9.225714-4 1.638100+2 1.059254-3 1.006579+2 1.216186-3 6.141834+1 1.396368-3 3.717582+1 1.603245-3 2.233588+1 1.840772-3 1.332182+1 2.065380-3 8.609519+0 2.398833-3 4.841630+0 2.818383-3 2.585254+0 3.507519-3 1.094377+0 4.315191-3 4.810530-1 5.432503-3 1.914497-1 7.244360-3 6.000019-2 9.332543-3 2.145209-2 1.224700-2 7.058717-3 1.640590-2 2.108376-3 3.090295-2 1.517608-4 4.315191-2 3.798534-5 5.495409-2 1.402435-5 6.918310-2 5.469045-6 8.317638-2 2.593924-6 9.772372-2 1.360255-6 1.135011-1 7.523017-7 1.303167-1 4.384697-7 1.496236-1 2.574427-7 1.698244-1 1.590672-7 1.905461-1 1.033627-7 2.137962-1 6.763633-8 2.371374-1 4.649017-8 2.630268-1 3.216617-8 2.917427-1 2.240398-8 3.235937-1 1.570427-8 3.589219-1 1.108904-8 3.935501-1 8.195589-9 4.265795-1 6.333287-9 4.677351-1 4.750030-9 5.128614-1 3.587015-9 5.754399-1 2.546438-9 6.309573-1 1.949930-9 6.839117-1 1.554497-9 7.413102-1 1.249378-9 8.035261-1 1.010676-9 9.015711-1 7.51433-10 9.549926-1 6.51781-10 1.000000+0 5.84980-10 1.074800+0 4.98560-10 1.135011+0 4.45194-10 1.216186+0 3.88822-10 1.318257+0 3.34935-10 1.428894+0 2.90622-10 1.640590+0 2.30047-10 1.798871+0 1.98200-10 1.949845+0 1.75078-10 2.238721+0 1.42450-10 2.570396+0 1.16792-10 2.951209+0 9.64646-11 3.427678+0 7.90487-11 4.027170+0 6.42893-11 4.786301+0 5.18960-11 5.821032+0 4.10328-11 7.244360+0 3.18111-11 9.225714+0 2.41974-11 1.188502+1 1.83008-11 1.566751+1 1.35791-11 2.238721+1 9.30424-12 3.548134+1 5.76373-12 6.309573+1 3.19674-12 1.258925+2 1.58812-12 2.511886+2 7.92339-13 1.995262+3 9.93584-14 1.000000+5 1.98120-15 1 7000 7 0 1.400670+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.150000-5 1.150000-5 1.000000+5 1.150000-5 1 7000 7 9 1.400670+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.150000-5 0.0 1.000000+5 1.000000+5 1 7000 7 0 1.400670+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.148000-5 7.513300+6 1.180000-5 7.647460+6 1.220000-5 7.766680+6 1.273503-5 7.864125+6 1.333521-5 7.908989+6 1.400000-5 7.898460+6 1.479108-5 7.826806+6 1.570000-5 7.691060+6 1.659587-5 7.519497+6 1.778279-5 7.258485+6 1.905461-5 6.957353+6 2.041738-5 6.626328+6 2.213095-5 6.212875+6 2.400000-5 5.777240+6 2.580000-5 5.377260+6 2.786121-5 4.947090+6 3.000000-5 4.532520+6 3.230000-5 4.120260+6 3.467369-5 3.731480+6 3.715352-5 3.362611+6 3.935501-5 3.064631+6 4.168694-5 2.777045+6 4.466836-5 2.449460+6 4.731513-5 2.192646+6 5.069907-5 1.905503+6 5.432503-5 1.643803+6 5.821032-5 1.408035+6 6.309573-5 1.165827+6 6.839116-5 9.582015+5 7.500000-5 7.594780+5 8.317638-5 5.806676+5 9.440609-5 4.144886+5 1.083927-4 2.845163+5 1.244515-4 1.937037+5 1.412538-4 1.350773+5 1.584893-4 9.658776+4 1.800000-4 6.608260+4 2.065380-4 4.346990+4 2.691535-4 1.916961+4 3.273407-4 1.041453+4 3.758374-4 6.723597+3 4.216965-4 4.638199+3 4.786301-4 3.060001+3 5.432503-4 2.004023+3 6.237348-4 1.253610+3 8.609938-4 4.133146+2 9.885531-4 2.555540+2 1.096478-3 1.769186+2 1.244515-3 1.119645+2 1.428894-3 6.744296+1 1.717908-3 3.409149+1 2.000000-3 1.925399+1 2.264644-3 1.199053+1 2.630268-3 6.709472+0 3.090295-3 3.561509+0 4.365158-3 9.029210-1 5.495409-3 3.593234-1 6.918310-3 1.419373-1 8.511380-3 6.109790-2 1.096478-2 2.163234-2 1.428894-2 7.247783-3 1.862087-2 2.407531-3 4.623810-2 5.361749-5 5.956621-2 1.871974-5 7.328245-2 7.960822-6 8.810489-2 3.749673-6 1.059254-1 1.780552-6 1.216186-1 1.024954-6 1.380384-1 6.218305-7 1.548817-1 3.972992-7 1.737801-1 2.555781-7 1.949845-1 1.656179-7 2.187762-1 1.081075-7 2.398833-1 7.735250-8 2.638800-1 5.509300-8 2.884032-1 4.048182-8 3.162278-1 2.963751-8 3.467369-1 2.186514-8 3.758374-1 1.685668-8 4.073803-1 1.308285-8 4.415705-1 1.022768-8 4.731513-1 8.336249-9 5.128614-1 6.617110-9 5.559043-1 5.293505-9 6.025596-1 4.268396-9 6.531306-1 3.468391-9 7.079458-1 2.839654-9 7.762471-1 2.278693-9 8.413951-1 1.894498-9 9.015711-1 1.627940-9 9.772372-1 1.375714-9 1.174898+0 9.49455-10 1.303167+0 7.76892-10 1.428894+0 6.54855-10 1.531087+0 5.79419-10 1.659587+0 5.06030-10 1.819701+0 4.36690-10 2.089296+0 3.54079-10 2.398833+0 2.89212-10 2.754229+0 2.37993-10 3.162278+0 1.97272-10 3.672823+0 1.62201-10 4.365158+0 1.30425-10 5.248075+0 1.04168-10 6.456542+0 8.15441-11 8.128305+0 6.26053-11 1.059254+1 4.65801-11 1.513561+1 3.16119-11 2.200000+1 2.12650-11 3.467369+1 1.32451-11 6.095369+1 7.43000-12 1.216186+2 3.68998-12 2.426610+2 1.84077-12 1.927525+3 2.30798-13 1.000000+5 4.44590-15 1 7000 7 0 1.400670+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.148000-5 1.148000-5 1.000000+5 1.148000-5 1 7000 7 9 1.400670+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.148000-5 0.0 1.000000+5 1.000000+5 1 7000 7 0 1.400670+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.825820-9 1.028750+0 1.825820-8 1.036640+0 1.825820-7 1.048300+0 1.024080-6 1.051200+0 1.389140-6 1.054080+0 1.825820-6 1.057700+0 2.488700-6 1.061100+0 3.237140-6 1.065100+0 4.285580-6 1.070400+0 5.978750-6 1.076200+0 8.262540-6 1.080600+0 1.031860-5 1.087100+0 1.390270-5 1.093710+0 1.825820-5 1.102600+0 2.531680-5 1.110700+0 3.302130-5 1.120600+0 4.417850-5 1.133300+0 6.143470-5 1.147500+0 8.483630-5 1.158200+0 1.054340-4 1.174100+0 1.408890-4 1.190110+0 1.825820-4 1.205100+0 2.271220-4 1.227500+0 3.038060-4 1.250000+0 3.931000-4 1.281300+0 5.378710-4 1.308600+0 6.835880-4 1.332500+0 8.258100-4 1.374400+0 1.107280-3 1.405800+0 1.344110-3 1.452900+0 1.738620-3 1.500000+0 2.177000-3 1.562500+0 2.819320-3 1.617200+0 3.431910-3 1.712900+0 4.602440-3 1.784700+0 5.550620-3 1.892300+0 7.062910-3 2.000000+0 8.667000-3 2.044000+0 9.343000-3 2.163500+0 1.121820-2 2.372600+0 1.458510-2 2.647100+0 1.906380-2 3.000000+0 2.479000-2 3.437500+0 3.173030-2 4.000000+0 4.023000-2 4.750000+0 5.068030-2 5.000000+0 5.398000-2 6.000000+0 6.636000-2 7.000000+0 7.737000-2 8.000000+0 8.731000-2 9.000000+0 9.633000-2 1.000000+1 1.045000-1 1.100000+1 1.120000-1 1.200000+1 1.188000-1 1.300000+1 1.252000-1 1.400000+1 1.311000-1 1.500000+1 1.367000-1 1.600000+1 1.419000-1 1.800000+1 1.514000-1 2.000000+1 1.599000-1 2.200000+1 1.677000-1 2.400000+1 1.747000-1 2.600000+1 1.812000-1 2.800000+1 1.871000-1 3.000000+1 1.926000-1 4.000000+1 2.153000-1 5.000000+1 2.325000-1 6.000000+1 2.462000-1 8.000000+1 2.667000-1 1.000000+2 2.819000-1 1.500000+2 3.071000-1 2.000000+2 3.229000-1 3.000000+2 3.418000-1 4.000000+2 3.530000-1 5.000000+2 3.605000-1 6.000000+2 3.659000-1 8.000000+2 3.731000-1 1.000000+3 3.779000-1 1.500000+3 3.848000-1 2.000000+3 3.887000-1 3.000000+3 3.928000-1 4.000000+3 3.951000-1 5.000000+3 3.965000-1 6.000000+3 3.975000-1 8.000000+3 3.988000-1 1.000000+4 3.996000-1 1.500000+4 4.008000-1 2.000000+4 4.014000-1 3.000000+4 4.020000-1 4.000000+4 4.024000-1 5.000000+4 4.026000-1 6.000000+4 4.027000-1 8.000000+4 4.029000-1 1.000000+5 4.030000-1 1 7000 7 8 1.400670+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 7000 7 9 1.400670+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 7000 7 0 1.400670+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 7.028370-8 2.136250+0 7.028370-7 2.156900+0 1.251650-6 2.169000+0 1.670410-6 2.184500+0 2.321920-6 2.201800+0 3.212440-6 2.214800+0 4.002450-6 2.234200+0 5.384010-6 2.253680+0 7.028370-6 2.281500+0 9.844480-6 2.307000+0 1.293070-5 2.338200+0 1.738650-5 2.377400+0 2.407820-5 2.410200+0 3.062340-5 2.446800+0 3.895470-5 2.485900+0 4.904610-5 2.532900+0 6.276840-5 2.556430+0 7.028370-5 2.611900+0 8.961910-5 2.660400+0 1.083440-4 2.745300+0 1.450110-4 2.809000+0 1.756150-4 2.904500+0 2.262320-4 3.000000+0 2.824000-4 3.125000+0 3.641590-4 3.234400+0 4.431220-4 3.425800+0 5.967940-4 3.569300+0 7.237510-4 3.784700+0 9.305640-4 4.000000+0 1.153000-3 4.250000+0 1.425100-3 4.625000+0 1.852990-3 5.000000+0 2.298000-3 5.500000+0 2.908990-3 6.000000+0 3.529000-3 6.750000+0 4.454210-3 7.000000+0 4.759000-3 8.000000+0 5.952000-3 9.000000+0 7.097000-3 1.000000+1 8.188000-3 1.100000+1 9.223000-3 1.200000+1 1.020000-2 1.300000+1 1.113000-2 1.400000+1 1.201000-2 1.500000+1 1.285000-2 1.600000+1 1.365000-2 1.800000+1 1.514000-2 2.000000+1 1.650000-2 2.200000+1 1.776000-2 2.400000+1 1.892000-2 2.600000+1 2.000000-2 2.800000+1 2.101000-2 3.000000+1 2.195000-2 4.000000+1 2.591000-2 5.000000+1 2.900000-2 6.000000+1 3.150000-2 8.000000+1 3.539000-2 1.000000+2 3.832000-2 1.500000+2 4.340000-2 2.000000+2 4.675000-2 3.000000+2 5.102000-2 4.000000+2 5.368000-2 5.000000+2 5.554000-2 6.000000+2 5.692000-2 8.000000+2 5.884000-2 1.000000+3 6.014000-2 1.500000+3 6.209000-2 2.000000+3 6.320000-2 3.000000+3 6.443000-2 4.000000+3 6.515000-2 5.000000+3 6.559000-2 6.000000+3 6.590000-2 8.000000+3 6.632000-2 1.000000+4 6.658000-2 1.500000+4 6.694000-2 2.000000+4 6.715000-2 3.000000+4 6.735000-2 4.000000+4 6.748000-2 5.000000+4 6.755000-2 6.000000+4 6.760000-2 8.000000+4 6.766000-2 1.000000+5 6.770000-2 1 7000 7 8 1.400670+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 7000 7 9 1.400670+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 7000 7 0 1.400670+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 7.000000+0 1.000000+5 7.000000+0 5.000000+5 6.993800+0 6.718700+5 6.990900+0 7.890600+5 6.989320+0 9.296900+5 6.987710+0 1.000000+6 6.987000+0 1.125000+6 6.985170+0 1.500000+6 6.979300+0 2.000000+6 6.963300+0 2.500000+6 6.942800+0 3.000000+6 6.917900+0 4.000000+6 6.855300+0 5.000000+6 6.776000+0 5.875000+6 6.694810+0 6.000000+6 6.682730+0 7.000000+6 6.574100+0 8.000000+6 6.451990+0 9.000000+6 6.321700+0 1.000000+7 6.184400+0 1.109400+7 6.019660+0 1.125000+7 5.995110+0 1.203100+7 5.871230+0 1.250000+7 5.796100+0 1.375000+7 5.593330+0 1.500000+7 5.387300+0 1.625000+7 5.178370+0 1.750000+7 4.969200+0 1.875000+7 4.761920+0 1.937500+7 4.660210+0 2.000000+7 4.560400+0 2.125000+7 4.365090+0 2.312500+7 4.086490+0 2.500000+7 3.825100+0 2.718800+7 3.542440+0 2.750000+7 3.504200+0 2.906300+7 3.321240+0 3.000000+7 3.218400+0 3.250000+7 2.965940+0 3.437500+7 2.799140+0 3.718800+7 2.580920+0 4.000000+7 2.393900+0 4.437500+7 2.159380+0 4.812500+7 2.003080+0 5.000000+7 1.937800+0 5.250000+7 1.862510+0 5.625000+7 1.769390+0 5.750000+7 1.742830+0 6.000000+7 1.694800+0 6.500000+7 1.616070+0 7.000000+7 1.552200+0 8.000000+7 1.446400+0 8.750000+7 1.375070+0 9.000000+7 1.352100+0 9.750000+7 1.284090+0 1.000000+8 1.262000+0 1.085900+8 1.187560+0 1.144500+8 1.137140+0 1.214800+8 1.076320+0 1.250000+8 1.045600+0 1.312500+8 9.908440-1 1.406300+8 9.113240-1 1.500000+8 8.378000-1 1.617200+8 7.550570-1 1.712900+8 6.927960-1 1.750000+8 6.696280-1 1.784700+8 6.482920-1 1.838500+8 6.159990-1 1.919300+8 5.689520-1 2.000000+8 5.237000-1 2.062500+8 4.899020-1 2.308600+8 3.753450-1 2.375000+8 3.502650-1 2.377000+8 3.495470-1 2.459000+8 3.219840-1 2.500000+8 3.095130-1 2.750000+8 2.480250-1 2.835900+8 2.307530-1 2.894500+8 2.197120-1 2.947300+8 2.101850-1 3.000000+8 2.010480-1 3.062500+8 1.906030-1 3.117200+8 1.818670-1 3.212900+8 1.675230-1 3.392300+8 1.438950-1 3.464100+8 1.356040-1 3.500000+8 1.317000-1 3.562500+8 1.252360-1 3.671900+8 1.148790-1 4.000000+8 8.895110-2 4.125000+8 8.055350-2 4.234400+8 7.382960-2 4.425800+8 6.343290-2 5.000000+8 4.135430-2 5.250000+8 3.500120-2 5.718800+8 2.614310-2 6.000000+8 2.207230-2 6.625000+8 1.536100-2 6.875000+8 1.349590-2 7.000000+8 1.271150-2 7.250000+8 1.138840-2 7.718800+8 9.414090-3 7.906300+8 8.718200-3 8.000000+8 8.381570-3 8.125000+8 7.940340-3 8.359400+8 7.147940-3 8.654200+8 6.236150-3 8.900900+8 5.553900-3 9.529000+8 4.149970-3 1.000000+9 3.374600-3 1.045900+9 2.799700-3 1.088000+9 2.387120-3 1.139500+9 1.989790-3 1.205600+9 1.603140-3 1.247700+9 1.409170-3 1.373800+9 9.881570-4 1.500000+9 7.172580-4 1.718800+9 4.346600-4 1.906300+9 2.952420-4 2.000000+9 2.463200-4 2.187500+9 1.749260-4 2.363300+9 1.297620-4 2.692900+9 7.787330-5 2.981300+9 5.209740-5 5.000000+9 6.624400-6 5.750000+9 3.811620-6 8.000000+9 1.042600-6 1.00000+10 4.352300-7 1.27030+10 1.714840-7 1.55700+10 7.806970-8 1.85560+10 3.978740-8 2.16210+10 2.219180-8 2.65200+10 1.022640-8 3.32650+10 4.361490-9 3.94540+10 2.308390-9 4.70230+10 1.205980-9 5.67350+10 6.05705-10 6.75510+10 3.21261-10 8.17480+10 1.61668-10 1.00000+11 7.88750-11 1.17140+11 4.51698-11 1.36540+11 2.64454-11 1.70670+11 1.22306-11 2.04860+11 6.55221-12 2.52170+11 3.24463-12 3.35790+11 1.24687-12 4.68190+11 4.17869-13 6.33390+11 1.56957-13 1.03630+12 3.27369-14 1.58930+12 8.60186-15 3.03270+12 1.18572-15 7.26730+12 8.61396-17 2.69580+13 1.82496-18 1.00000+14 3.96940-20 5.62340+14 2.42063-22 5.42470+15 2.72342-25 1.00000+17 4.03750-29 1 7000 7 0 1.400670+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.30000-12 1.000000+2 1.30000-10 1.000000+3 1.300000-8 1.000000+4 1.300000-6 1.000000+5 1.300000-4 5.000000+5 3.250000-3 6.718700+5 5.868321-3 7.890600+5 8.094004-3 9.296900+5 1.123621-2 1.000000+6 1.300000-2 1.125000+6 1.649010-2 1.500000+6 2.920000-2 2.000000+6 5.170000-2 2.500000+6 8.040000-2 3.000000+6 1.151000-1 4.000000+6 2.017000-1 5.000000+6 3.100000-1 5.875000+6 4.200330-1 6.000000+6 4.368180-1 7.000000+6 5.797000-1 8.000000+6 7.364600-1 9.000000+6 9.042000-1 1.000000+7 1.080000+0 1.109400+7 1.278750+0 1.125000+7 1.307440+0 1.203100+7 1.452170+0 1.250000+7 1.539700+0 1.375000+7 1.772470+0 1.500000+7 2.003000+0 1.625000+7 2.228330+0 1.750000+7 2.446800+0 1.875000+7 2.657050+0 1.937500+7 2.758520+0 2.000000+7 2.858000+0 2.125000+7 3.048640+0 2.312500+7 3.315380+0 2.500000+7 3.558600+0 2.718800+7 3.812940+0 2.750000+7 3.846890+0 2.906300+7 4.007360+0 3.000000+7 4.097000+0 3.250000+7 4.311800+0 3.437500+7 4.453020+0 3.718800+7 4.636790+0 4.000000+7 4.792000+0 4.437500+7 4.987420+0 4.812500+7 5.122470+0 5.000000+7 5.182000+0 5.250000+7 5.254070+0 5.625000+7 5.350560+0 5.750000+7 5.380580+0 6.000000+7 5.437000+0 6.500000+7 5.540240+0 7.000000+7 5.635000+0 8.000000+7 5.809000+0 8.750000+7 5.929580+0 9.000000+7 5.968000+0 9.750000+7 6.077840+0 1.000000+8 6.113000+0 1.085900+8 6.226560+0 1.144500+8 6.298480+0 1.214800+8 6.378060+0 1.250000+8 6.415700+0 1.312500+8 6.477240+0 1.406300+8 6.558950+0 1.500000+8 6.630000+0 1.617200+8 6.703240+0 1.712900+8 6.753430+0 1.750000+8 6.770310+0 1.784700+8 6.785630+0 1.838500+8 6.806880+0 1.919300+8 6.835130+0 2.000000+8 6.859900+0 2.062500+8 6.875510+0 2.308600+8 6.923390+0 2.375000+8 6.932290+0 2.377000+8 6.932540+0 2.459000+8 6.942620+0 2.500000+8 6.947000+0 2.750000+8 6.966450+0 2.835900+8 6.971560+0 2.894500+8 6.974260+0 2.947300+8 6.976650+0 3.000000+8 6.979000+0 3.062500+8 6.980790+0 3.117200+8 6.982330+0 3.212900+8 6.984950+0 3.392300+8 6.989520+0 3.464100+8 6.990710+0 3.500000+8 6.991300+0 3.562500+8 6.991920+0 3.671900+8 6.992990+0 4.000000+8 6.996000+0 4.125000+8 6.996430+0 4.234400+8 6.996790+0 4.425800+8 6.997410+0 5.000000+8 6.999100+0 5.250000+8 6.999290+0 5.718800+8 6.999620+0 6.000000+8 6.999800+0 6.625000+8 6.999860+0 6.875000+8 6.999890+0 7.000000+8 6.999900+0 7.250000+8 6.999930+0 7.718800+8 6.999970+0 7.906300+8 6.999990+0 8.000000+8 7.000000+0 8.125000+8 7.000000+0 8.359400+8 7.000000+0 8.654200+8 7.000000+0 8.900900+8 7.000000+0 9.529000+8 7.000000+0 1.000000+9 7.000000+0 1.045900+9 7.000000+0 1.088000+9 7.000000+0 1.139500+9 7.000000+0 1.205600+9 7.000000+0 1.247700+9 7.000000+0 1.373800+9 7.000000+0 1.500000+9 7.000000+0 1.718800+9 7.000000+0 1.906300+9 7.000000+0 2.000000+9 7.000000+0 2.187500+9 7.000000+0 2.363300+9 7.000000+0 2.692900+9 7.000000+0 2.981300+9 7.000000+0 5.000000+9 7.000000+0 5.750000+9 7.000000+0 8.000000+9 7.000000+0 1.00000+10 7.000000+0 1.27030+10 7.000000+0 1.55700+10 7.000000+0 1.85560+10 7.000000+0 2.16210+10 7.000000+0 2.65200+10 7.000000+0 3.32650+10 7.000000+0 3.94540+10 7.000000+0 4.70230+10 7.000000+0 5.67350+10 7.000000+0 6.75510+10 7.000000+0 8.17480+10 7.000000+0 1.00000+11 7.000000+0 1.17140+11 7.000000+0 1.36540+11 7.000000+0 1.70670+11 7.000000+0 2.04860+11 7.000000+0 2.52170+11 7.000000+0 3.35790+11 7.000000+0 4.68190+11 7.000000+0 6.33390+11 7.000000+0 1.03630+12 7.000000+0 1.58930+12 7.000000+0 3.03270+12 7.000000+0 7.26730+12 7.000000+0 2.69580+13 7.000000+0 1.00000+14 7.000000+0 5.62340+14 7.000000+0 5.42470+15 7.000000+0 1.00000+17 7.000000+0 1 7000 7 0 1.400670+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.047267-6 0.0 7.557843-6 0.0 7.579988-6 2.319160-1 7.595049-6 4.654271-1 7.613651-6 8.805978-1 7.617303-6 9.942648-1 7.632254-6 1.511661+0 7.650857-6 2.399045+0 7.685591-6 4.568509+0 7.711755-6 6.260384+0 7.730958-6 7.127157+0 7.750528-6 7.473532+0 7.769185-6 7.237110+0 7.789048-6 6.420317+0 7.816079-6 4.759690+0 7.841189-6 3.096090+0 7.855486-6 2.266984+0 7.874089-6 1.420599+0 7.878503-6 1.263290+0 7.892691-6 8.249267-1 7.899492-6 6.729415-1 7.915817-6 3.546803-1 7.929897-6 1.257929-1 7.953132-6 0.0 8.721726-6 0.0 8.722790-6 2.168765-8 8.744925-6 9.241623-7 8.765730-6 2.191896-6 8.787200-6 4.070527-6 8.809498-6 7.108211-6 8.831023-6 1.121479-5 8.852547-6 1.635503-5 8.895596-6 2.747850-5 8.917121-6 3.166174-5 8.938645-6 3.373084-5 8.960170-6 3.322727-5 8.981695-6 3.026629-5 9.003219-6 2.549411-5 9.046268-6 1.430581-5 9.067793-6 9.530775-6 9.088222-6 6.024080-6 9.109743-6 3.448106-6 9.132366-6 1.719547-6 9.151074-6 5.378734-7 9.152190-6 4.910930-7 9.175415-6 0.0 9.647314-6 0.0 9.669459-6 3.121526-2 9.694805-6 8.398026-2 9.718551-6 1.557077-1 9.725509-6 1.879646-1 9.742296-6 3.613711-1 9.749447-6 4.533286-1 9.766042-6 7.003647-1 9.773385-6 8.216635-1 9.797323-6 1.315654+0 9.824254-6 2.083713+0 9.851184-6 3.035488+0 9.893076-6 4.659288+0 9.920006-6 5.517677+0 9.944599-6 5.992241+0 9.968765-6 6.062702+0 9.993446-6 5.701321+0 1.001789-5 4.974958+0 1.008458-5 2.336241+0 1.011001-5 1.498098+0 1.013246-5 9.283139-1 1.015714-5 5.165067-1 1.018183-5 2.635651-1 1.020427-5 6.783755-2 1.022750-5 0.0 1.034185-5 0.0 1.036400-5 1.050723-2 1.037220-5 1.627721-2 1.039436-5 8.970236-2 1.042170-5 2.244153-1 1.042503-5 2.452242-1 1.044729-5 4.069088-1 1.047432-5 7.008025-1 1.050163-5 1.115690+0 1.057823-5 2.544967+0 1.060696-5 2.888854+0 1.063090-5 2.996267+0 1.065660-5 2.884792+0 1.068941-5 2.477661+0 1.075425-5 1.452795+0 1.078154-5 1.172385+0 1.080553-5 1.063478+0 1.083174-5 1.091098+0 1.088869-5 1.457010+0 1.093078-5 1.753451+0 1.096845-5 1.861102+0 1.103450-5 1.805381+0 1.108890-5 1.729922+0 1.131632-5 1.823816+0 1.132498-5 1.832538+0 1.134613-5 2.183417+0 1.138400-5 4.084871+0 1.140444-5 5.361046+0 1.143431-5 8.321056+0 1.146350-5 1.251225+1 1.150460-5 2.041459+1 1.155727-5 3.130429+1 1.158503-5 3.539027+1 1.160991-5 3.724539+1 1.163626-5 3.689149+1 1.166290-5 3.418424+1 1.169875-5 2.774423+1 1.175250-5 1.650539+1 1.177145-5 1.299294+1 1.179296-5 9.647066+0 1.182089-5 6.468987+0 1.184882-5 4.402595+0 1.188143-5 2.753737+0 1.190467-5 1.956016+0 1.368518-5 2.316982+0 1.625600-5 2.642226+0 2.008128-5 2.894386+0 2.027887-5 3.057646+0 2.051968-5 3.487838+0 2.064008-5 3.454815+0 2.090868-5 3.004856+0 2.109758-5 2.924560+0 2.151079-5 2.973038+0 2.187870-5 3.215074+0 2.221141-5 3.101584+0 2.402514-5 3.218065+0 2.892053-5 3.342170+0 3.529328-5 3.300391+0 4.647580-5 2.951568+0 6.839116-5 2.165947+0 8.162695-5 1.809671+0 9.798233-5 1.480403+0 1.153301-4 1.224669+0 1.325458-4 1.034588+0 1.551570-4 8.489684-1 1.781596-4 7.097849-1 2.056126-4 5.870012-1 2.406123-4 4.736930-1 2.746008-4 3.939908-1 3.156809-4 3.233123-1 3.649908-4 2.625913-1 3.839096-4 2.439940-1 3.839320-4 2.473632-1 3.858220-4 1.095325+0 3.867670-4 1.797922+0 3.877120-4 2.862436+0 3.887751-4 4.538237+0 3.914546-4 9.658486+0 3.925557-4 1.101203+1 3.935357-4 1.137054+1 3.945187-4 1.083100+1 3.956384-4 9.319182+0 3.979783-4 5.309287+0 3.990520-4 3.966189+0 3.999970-4 3.276065+0 4.010873-4 2.984850+0 4.028950-4 2.974807+0 4.043663-4 3.464089+0 4.061201-4 3.812372+0 4.086717-4 3.963866+0 4.760295-4 3.469072+0 5.401834-4 2.884318+0 6.373384-4 2.279833+0 7.353100-4 1.824033+0 8.531308-4 1.437339+0 9.775618-4 1.144207+0 1.110468-3 9.210773-1 1.255308-3 7.428001-1 1.402552-3 6.090915-1 1.565870-3 4.988554-1 1.768843-3 3.986268-1 1.935273-3 3.367407-1 2.164748-3 2.723666-1 2.394289-3 2.245507-1 2.687717-3 1.792839-1 3.022943-3 1.423583-1 3.397379-3 1.127647-1 3.817434-3 8.922404-2 4.165269-3 7.470772-2 4.564308-3 6.199060-2 4.989675-3 5.155821-2 5.451348-3 4.292121-2 5.986515-3 3.526994-2 6.538576-3 2.930530-2 7.187702-3 2.397609-2 7.880790-3 1.969815-2 8.636407-3 1.619410-2 9.412141-3 1.344012-2 1.041356-2 1.079237-2 1.156655-2 8.575130-3 1.260499-2 7.096315-3 1.377953-2 5.830024-3 1.523981-2 4.658842-3 1.674260-2 3.776639-3 1.817856-2 3.141864-3 2.005877-2 2.515208-3 2.197233-2 2.047609-3 2.402102-2 1.673422-3 2.634606-2 1.355349-3 2.906186-2 1.082794-3 3.217872-2 8.577940-4 3.550376-2 6.841139-4 3.937653-2 5.387899-4 4.357607-2 4.265133-4 4.777799-2 3.446917-4 5.188000-2 2.849836-4 5.619661-2 2.367625-4 6.089637-2 1.965106-4 6.683484-2 1.583580-4 7.201751-2 1.331448-4 7.972684-2 1.051443-4 8.633105-2 8.741573-5 9.352478-2 7.259214-5 1.007222-1 6.112769-5 1.115389-1 4.836648-5 1.226371-1 3.891842-5 1.335923-1 3.198258-5 1.447808-1 2.664269-5 1.591439-1 2.150652-5 1.755963-1 1.726541-5 1.927525-1 1.402466-5 2.109723-1 1.151071-5 2.301245-1 9.529643-6 2.554084-1 7.624402-6 2.769273-1 6.437743-6 3.071453-1 5.204549-6 3.398208-1 4.251308-6 3.796619-1 3.432477-6 4.205002-1 2.836212-6 4.570882-1 2.442355-6 5.029937-1 2.072262-6 5.573875-1 1.752561-6 6.148229-1 1.506857-6 6.868707-1 1.284526-6 7.673615-1 1.107781-6 8.585192-1 9.668672-7 1.000000+0 8.165841-7 1.173413+0 6.987257-7 1.410753+0 5.845836-7 1.696098+0 4.890875-7 2.039158+0 4.091914-7 2.451607+0 3.423469-7 2.947480+0 2.864219-7 3.543651+0 2.396327-7 4.260405+0 2.004869-7 5.122134+0 1.677359-7 6.158159+0 1.403350-7 7.403736+0 1.174102-7 8.901248+0 9.823035-8 9.760024+0 8.984950-8 1.000000+1 1.729912-7 1 7000 7 0 1.400670+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-6.999222+0 3.047267-6-6.986870+0 6.288725-6-6.774857+0 7.075816-6-6.409162+0 7.335652-6-5.998457+0 7.458125-6-5.533614+0 7.524278-6-5.015331+0 7.556073-6-4.533171+0 7.638649-6-2.623647+0 7.653659-6-2.404741+0 7.662241-6-2.376875+0 7.677938-6-2.500945+0 7.688715-6-2.736213+0 7.701361-6-3.183002+0 7.710588-6-3.682540+0 7.728426-6-4.907537+0 7.749459-6-6.721747+0 7.758816-6-7.464870+0 7.772066-6-6.318444+0 7.790901-6-4.976424+0 7.808393-6-4.109509+0 7.821964-6-3.705773+0 7.837134-6-3.505819+0 7.853699-6-3.602219+0 7.874089-6-3.973172+0 7.938837-6-5.540320+0 7.978314-6-6.208494+0 8.055746-6-6.832226+0 8.235685-6-7.486896+0 8.303092-6-7.537221+0 9.331179-6-6.339037+0 9.538687-6-5.806073+0 9.638721-6-5.294208+0 9.712614-6-4.565413+0 9.773385-6-3.617046+0 9.805552-6-3.195434+0 9.829490-6-3.002232+0 9.851184-6-2.997287+0 9.869021-6-3.161454+0 9.889693-6-3.555730+0 9.915518-6-4.393863+0 9.941700-6-5.586298+0 9.991444-6-8.090646+0 1.002371-5-6.869337+0 1.005519-5-6.305859+0 1.008250-5-6.220634+0 1.012124-5-6.676773+0 1.020510-5-8.195043+0 1.026978-5-7.334824+0 1.039436-5-6.062276+0 1.048507-5-5.057588+0 1.052242-5-4.854945+0 1.056319-5-5.003311+0 1.060377-5-5.581578+0 1.067002-5-6.794626+0 1.071271-5-7.137813+0 1.075425-5-6.984864+0 1.085519-5-5.732159+0 1.091499-5-5.396363+0 1.101397-5-5.304556+0 1.108890-5-4.853594+0 1.117231-5-4.016120+0 1.122736-5-3.213597+0 1.126055-5-2.552559+0 1.128391-5-1.963970+0 1.129418-5-1.655739+0 1.130765-5-1.176403+0 1.131632-5-8.083736-1 1.132065-5-5.974585-1 1.133030-5-3.578659-2 1.133556-5 2.726095-1 1.134084-5 5.972641-1 1.134349-5 7.772528-1 1.134850-5 1.192185+0 1.135293-5 1.490151+0 1.138400-5 3.283374+0 1.140189-5 4.438125+0 1.143771-5 6.982405+0 1.146723-5 8.473693+0 1.147868-5 8.665877+0 1.149730-5 8.570954+0 1.151100-5 8.018622+0 1.152577-5 6.945023+0 1.153608-5 5.900978+0 1.154765-5 4.383272+0 1.155368-5 3.388120+0 1.155727-5 2.645567+0 1.156861-5 4.673008-1 1.157145-5-1.071907-1 1.157358-5-5.555584-1 1.157677-5-1.267767+0 1.157916-5-1.856579+0 1.158222-5-2.692084+0 1.159999-5-7.005808+0 1.160991-5-9.919911+0 1.162773-5-5.149565+0 1.163118-5-4.095308+0 1.163299-5-3.455175+0 1.163626-5-2.500782+0 1.166003-5 3.491690+0 1.166290-5 4.272348+0 1.166957-5 5.749099+0 1.168318-5 8.265328+0 1.169875-5 1.080655+1 1.171649-5 1.275001+1 1.173584-5 1.399241+1 1.175250-5 1.428735+1 1.177145-5 1.383636+1 1.179296-5 1.265377+1 1.182089-5 1.065453+1 1.185289-5 8.145708+0 1.190249-5 4.658656+0 1.191151-5 3.916387+0 1.192516-5 3.129030+0 1.193878-5 2.496366+0 1.195238-5 1.959150+0 1.196596-5 1.491248+0 1.197951-5 1.077308+0 1.199304-5 7.063718-1 1.200653-5 3.710724-1 1.202001-5 6.618006-2 1.203345-5-2.122972-1 1.204687-5-4.685485-1 1.206026-5-7.051533-1 1.208700-5-1.128036+0 1.211363-5-1.495013+0 1.216657-5-2.103738+0 1.224522-5-2.793564+0 1.234865-5-3.453560+0 1.250110-5-4.121026+0 1.269886-5-4.682478+0 1.298447-5-5.180007+0 1.351819-5-5.655204+0 1.459038-5-5.980729+0 1.689260-5-5.977289+0 1.989439-5-5.834676+0 2.039618-5-6.005294+0 2.074196-5-5.296463+0 2.106428-5-5.437562+0 2.174068-5-5.632656+0 2.208893-5-5.407600+0 2.310000-5-5.339778+0 3.276800-5-4.152201+0 3.981072-5-3.468249+0 4.880125-5-2.849753+0 5.879968-5-2.420877+0 6.839116-5-2.171145+0 8.162695-5-1.976525+0 1.031375-4-1.838096+0 1.325458-4-1.801727+0 1.781596-4-1.876546+0 2.275767-4-2.059684+0 2.746008-4-2.351167+0 3.063593-4-2.669723+0 3.304456-4-3.051241+0 3.479536-4-3.494696+0 3.573260-4-3.851275+0 3.677603-4-3.716195+0 3.735984-4-3.496366+0 3.770461-4-3.241776+0 3.797507-4-2.902129+0 3.817765-4-2.474728+0 3.828378-4-2.130003+0 3.835704-4-1.788147+0 3.839096-4-1.547039+0 3.841018-4-1.380475+0 3.845863-4-1.086136+0 3.853495-4-6.743553-1 3.857039-4-4.576797-1 3.858220-4-3.647133-1 3.867670-4 2.849183-1 3.868851-4 3.824991-1 3.878301-4 9.422314-1 3.880368-4 1.029584+0 3.887751-4 1.225434+0 3.889818-4 1.228038+0 3.893694-4 1.149946+0 3.897201-4 1.019452+0 3.899268-4 8.964902-1 3.900819-4 7.818591-1 3.903144-4 5.738506-1 3.904307-4 4.516670-1 3.905497-4 3.071795-1 3.907833-4 4.999188-3 3.909604-4-2.381996-1 3.910947-4-4.373886-1 3.911930-4-5.930058-1 3.913425-4-8.509202-1 3.914546-4-1.070408+0 3.915521-4-1.293883+0 3.922000-4-2.628586+0 3.924298-4-3.196588+0 3.927105-4-3.946308+0 3.932889-4-5.374615+0 3.935357-4-4.681072+0 3.946290-4-2.220911+0 3.948942-4-1.725941+0 3.954810-4-7.243397-1 3.956384-4-4.958867-1 3.957834-4-3.129478-1 3.959206-4-1.583350-1 3.960492-4-2.735820-2 3.962903-4 1.856212-1 3.965013-4 3.400198-1 3.966859-4 4.520829-1 3.968490-4 5.335644-1 3.971302-4 6.361363-1 3.973422-4 6.806734-1 3.975012-4 6.942064-1 3.977397-4 6.779635-1 3.978590-4 6.487289-1 3.981166-4 5.167658-1 3.985822-4 3.161613-1 3.988171-4 1.861951-1 3.989346-4 1.053585-1 3.989933-4 5.776757-2 3.990520-4-2.960641-3 3.999970-4-7.614924-1 4.001181-4-8.785934-1 4.010873-4-1.605716+0 4.016192-4-1.924503+0 4.027218-4-2.468915+0 4.031455-4-2.724874+0 4.036370-4-2.876033+0 4.046090-4-2.994386+0 4.061201-4-2.977897+0 4.109948-4-2.660693+0 4.427929-4-1.830543+0 4.652352-4-1.344333+0 4.824336-4-1.049052+0 5.016438-4-8.004229-1 5.175575-4-6.405275-1 5.308844-4-5.293527-1 5.568784-4-3.526621-1 5.745766-4-2.501645-1 5.873890-4-1.867256-1 6.022299-4-1.175262-1 6.205080-4-4.076434-2 6.366104-4 1.625809-2 6.531306-4 6.872714-2 6.702704-4 1.152448-1 6.856363-4 1.505214-1 7.054648-4 1.899342-1 7.419569-4 2.466475-1 7.857108-4 2.975669-1 8.326620-4 3.374107-1 9.042188-4 3.732212-1 9.775618-4 3.888197-1 1.144516-3 3.890770-1 1.451889-3 3.427218-1 2.011220-3 2.529051-1 2.469324-3 1.990638-1 2.925537-3 1.599276-1 3.454313-3 1.271993-1 4.045835-3 1.010827-1 4.700094-3 8.049990-2 5.282755-3 6.692150-2 5.986515-3 5.463039-2 6.716537-3 4.505894-2 7.613768-3 3.629775-2 8.636407-3 2.892426-2 9.717050-3 2.320502-2 1.072148-2 1.917886-2 1.189371-2 1.557438-2 1.327543-2 1.236526-2 1.486224-2 9.624073-3 1.628827-2 7.743382-3 1.776857-2 6.211200-3 1.924667-2 4.990925-3 2.091138-2 3.887416-3 2.248527-2 3.045977-3 2.445496-2 2.195490-3 2.634606-2 1.538559-3 2.782549-2 1.107968-3 2.958237-2 6.734378-4 3.082097-2 4.075954-4 3.146913-2 2.800818-4 3.217872-2 1.487280-4 3.283102-2 3.469399-5 3.324096-2-3.304607-5 3.349654-2-7.512297-5 3.420508-2-1.853137-4 3.550376-2-3.722115-4 3.696327-2-5.606441-4 3.937653-2-8.299604-4 4.357607-2-1.217496-3 4.777799-2-1.515425-3 5.337603-2-1.806952-3 6.089637-2-2.079902-3 7.405111-2-2.372342-3 9.657632-2-2.624357-3 1.409254-1-2.814941-3 2.679699-1-2.937014-3 8.070027-1-2.978551-3 2.451607+0-2.983142-3 7.403736+0-2.983639-3 1.000000+1-2.983601-3 1 8000 7 0 1.599940+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.507359-6 1.024000-6 1.569996-6 1.068291-6 2.063213-6 1.135060-6 2.921798-6 1.206001-6 3.883342-6 1.281376-6 4.911134-6 1.361462-6 5.955297-6 1.446553-6 6.953359-6 1.536000-6 7.933832-6 1.633023-6 1.062466-5 1.684055-6 1.209597-5 1.736682-6 1.359015-5 1.790953-6 1.508203-5 1.846920-6 1.654461-5 1.904637-6 1.799264-5 1.920000-6 1.849764-5 2.025536-6 2.389987-5 2.088834-6 2.744465-5 2.154111-6 3.117512-5 2.221426-6 3.491617-5 2.290846-6 3.860083-5 2.362435-6 4.216074-5 2.400000-6 4.436649-5 2.436261-6 4.773866-5 2.512394-6 5.575788-5 2.590907-6 6.399496-5 2.671872-6 7.229537-5 2.755368-6 8.048552-5 2.841474-6 8.837114-5 3.000000-6 1.017276-4 3.021841-6 1.044836-4 3.116273-6 1.183371-4 3.213657-6 1.320253-4 3.375000-6 1.530145-4 3.524450-6 1.807282-4 3.634589-6 1.997350-4 3.796875-6 2.248402-4 3.865300-6 2.401954-4 3.986091-6 2.675875-4 4.110656-6 2.928129-4 4.239114-6 3.176796-4 4.271484-6 3.249094-4 4.371587-6 3.549346-4 4.508199-6 3.940570-4 4.649080-6 4.264698-4 4.805420-6 4.552094-4 4.944188-6 4.981632-4 5.098179-6 5.372939-4 5.247358-6 5.600336-4 5.406097-6 5.700592-4 5.531877-6 5.866126-4 5.667503-6 5.936327-4 5.743979-6 5.932673-4 5.798891-6 5.947789-4 5.926173-6 5.927586-4 6.049478-6 5.752180-4 6.102977-6 5.655526-4 6.168929-6 5.552581-4 6.284647-6 5.309480-4 6.396749-6 4.926908-4 6.505348-6 4.487563-4 6.610553-6 4.069172-4 6.712471-6 3.571334-4 6.811204-6 2.985260-4 6.889689-6 2.495186-4 7.002498-6 1.885451-4 7.181837-6 9.057556-5 7.308083-6 3.411391-5 7.349967-6 2.261562-5 7.507588-6 1.874741-5 7.655359-6 1.012354-4 7.700328-6 1.513787-4 7.793894-6 3.096107-4 7.923770-6 6.875688-4 8.045529-6 1.279142-3 8.074817-6 1.465006-3 8.159678-6 2.126044-3 8.266693-6 3.291006-3 8.367019-6 4.837443-3 8.421541-6 5.915576-3 8.461075-6 6.825214-3 8.549253-6 9.330339-3 8.850190-6 2.626278-2 8.914048-6 3.269080-2 8.973915-6 4.021809-2 9.030040-6 4.894281-2 9.082657-6 5.897501-2 9.131986-6 7.044813-2 9.178231-6 8.350692-2 9.221586-6 9.829267-2 9.262232-6 1.149398-1 9.300337-6 1.335828-1 9.337024-6 1.549759-1 9.369552-6 1.774393-1 9.400949-6 2.029731-1 9.430385-6 2.311375-1 9.457980-6 2.621085-1 9.483851-6 2.960664-1 9.508105-6 3.331976-1 9.530844-6 3.736987-1 9.552161-6 4.177834-1 9.572145-6 4.656916-1 9.590881-6 5.176985-1 9.608445-6 5.741220-1 9.624912-6 6.353229-1 9.655788-6 7.788384-1 9.682804-6 9.480403-1 9.706443-6 1.145626+0 9.727127-6 1.372386+0 9.745225-6 1.626623+0 9.761062-6 1.904252+0 9.774918-6 2.199430+0 9.787043-6 2.505408+0 9.806935-6 3.122951+0 9.847928-6 4.979785+0 9.874953-6 6.750924+0 9.896214-6 8.504239+0 9.909246-6 9.743965+0 9.920512-6 1.091655+1 9.944811-6 1.374451+1 9.949206-6 1.429550+1 9.962392-6 1.600882+1 9.972147-6 1.732437+1 9.977462-6 1.805397+1 9.993408-6 2.027267+1 1.000176-5 2.143717+1 1.000973-5 2.253831+1 1.002074-5 2.402467+1 1.003142-5 2.540620+1 1.003960-5 2.640893+1 1.005128-5 2.773595+1 1.006349-5 2.895932+1 1.007845-5 3.018585+1 1.009060-5 3.092709+1 1.009497-5 3.113300+1 1.010743-5 3.153524+1 1.011883-5 3.165499+1 1.013043-5 3.152894+1 1.014166-5 3.117083+1 1.015282-5 3.059255+1 1.016426-5 2.978348+1 1.017512-5 2.882853+1 1.018931-5 2.734200+1 1.020019-5 2.604837+1 1.021214-5 2.450425+1 1.022275-5 2.305252+1 1.023298-5 2.160414+1 1.023639-5 2.111445+1 1.024702-5 1.957743+1 1.025727-5 1.809520+1 1.026069-5 1.760426+1 1.027284-5 1.588364+1 1.028499-5 1.422012+1 1.030401-5 1.177771+1 1.031407-5 1.058172+1 1.032841-5 9.006064+0 1.034671-5 7.226657+0 1.035788-5 6.269063+0 1.037087-5 5.276834+0 1.037721-5 4.837660+0 1.040161-5 3.406426+0 1.041097-5 2.957539+0 1.042329-5 2.442139+0 1.043542-5 2.010501+0 1.044741-5 1.649524+0 1.045921-5 1.350299+0 1.047082-5 1.103273+0 1.048226-5 9.000950-1 1.049351-5 7.335526-1 1.050459-5 5.974808-1 1.051549-5 4.866559-1 1.053680-5 3.239005-1 1.055744-5 2.182234-1 1.056752-5 1.807359-1 1.058737-5 1.275542-1 1.060659-5 9.606468-2 1.062521-5 7.928395-2 1.064326-5 7.255992-2 1.066074-5 7.277765-2 1.067767-5 7.783130-2 1.069407-5 8.627799-2 1.070996-5 9.711275-2 1.074027-5 1.232898-1 1.075471-5 1.377320-1 1.078227-5 1.678403-1 1.080813-5 1.982787-1 1.083239-5 2.279288-1 1.085553-5 2.564180-1 1.089755-5 3.060491-1 1.095124-5 3.578800-1 1.100285-5 3.864133-1 1.100441-5 3.868889-1 1.107058-5 3.868215-1 1.113760-5 3.567080-1 1.120403-5 3.150989-1 1.125918-5 2.800741-1 1.131434-5 2.471450-1 1.136949-5 2.166240-1 1.142465-5 1.882564-1 1.145222-5 1.747727-1 1.147980-5 1.617030-1 1.150738-5 1.490154-1 1.153495-5 1.366865-1 1.156253-5 1.247023-1 1.161769-5 1.017646-1 1.164526-5 9.083540-2 1.167132-5 8.087152-2 1.168848-5 7.451535-2 1.170042-5 7.019773-2 1.171616-5 6.464725-2 1.174384-5 5.531320-2 1.175557-5 5.153849-2 1.179920-5 3.865656-2 1.184560-5 2.755441-2 1.188621-5 2.108033-2 1.189578-5 2.015450-2 1.192174-5 1.914854-2 1.195282-5 2.167821-2 1.198003-5 2.851654-2 1.200383-5 3.938150-2 1.202465-5 5.384144-2 1.204288-5 7.133307-2 1.207477-5 1.162153-1 1.209869-5 1.655221-1 1.211662-5 2.138434-1 1.213008-5 2.577260-1 1.215026-5 3.379653-1 1.216035-5 3.854569-1 1.217044-5 4.384412-1 1.221202-5 7.246283-1 1.223035-5 8.914432-1 1.224533-5 1.048979+0 1.226031-5 1.227153+0 1.227213-5 1.383238+0 1.229026-5 1.650255+0 1.230219-5 1.844823+0 1.232022-5 2.168037+0 1.233394-5 2.437619+0 1.234304-5 2.627430+0 1.237032-5 3.247784+0 1.237583-5 3.381811+0 1.239237-5 3.799522+0 1.240208-5 4.054630+0 1.241665-5 4.448237+0 1.243122-5 4.851349+0 1.243738-5 5.023743+0 1.244895-5 5.347795+0 1.245907-5 5.630227+0 1.246793-5 5.874698+0 1.247567-5 6.085277+0 1.248923-5 6.442799+0 1.249940-5 6.698551+0 1.251275-5 7.013012+0 1.252562-5 7.287960+0 1.252991-5 7.372441+0 1.255131-5 7.731280+0 1.256469-5 7.895423+0 1.257460-5 7.983562+0 1.258869-5 8.056477+0 1.260189-5 8.066210+0 1.260895-5 8.047582+0 1.262388-5 7.953130+0 1.263512-5 7.833272+0 1.264852-5 7.638014+0 1.266268-5 7.373809+0 1.267486-5 7.103409+0 1.268780-5 6.778447+0 1.270416-5 6.322134+0 1.271579-5 5.974442+0 1.272778-5 5.602150+0 1.273787-5 5.282750+0 1.275153-5 4.847928+0 1.276657-5 4.374802+0 1.278067-5 3.945371+0 1.280289-5 3.312883+0 1.281617-5 2.967801+0 1.284284-5 2.360752+0 1.287659-5 1.764267+0 1.289091-5 1.566241+0 1.291170-5 1.330877+0 1.291838-5 1.267125+0 1.293247-5 1.150102+0 1.293841-5 1.107261+0 1.294656-5 1.054448+0 1.295337-5 1.015261+0 1.296978-5 9.381853-1 1.297928-5 9.041437-1 1.298448-5 8.886105-1 1.299042-5 8.735235-1 1.299933-5 8.560845-1 1.300824-5 8.447970-1 1.301798-5 8.394551-1 1.304018-5 8.547523-1 1.304418-5 8.616097-1 1.307212-5 9.455328-1 1.308266-5 9.937243-1 1.310278-5 1.110854+0 1.311420-5 1.191651+0 1.313600-5 1.372765+0 1.316361-5 1.645587+0 1.318401-5 1.870018+0 1.320040-5 2.058501+0 1.321023-5 2.172990+0 1.322561-5 2.351170+0 1.324098-5 2.524836+0 1.325237-5 2.648280+0 1.326576-5 2.785506+0 1.327324-5 2.857791+0 1.328447-5 2.959309+0 1.329940-5 3.079936+0 1.331497-5 3.186659+0 1.333072-5 3.273511+0 1.334149-5 3.320451+0 1.335723-5 3.371115+0 1.337512-5 3.404122+0 1.339358-5 3.413597+0 1.341451-5 3.399414+0 1.344010-5 3.356598+0 1.350262-5 3.222061+0 1.353593-5 3.182845+0 1.355503-5 3.180908+0 1.357598-5 3.198761+0 1.359202-5 3.227105+0 1.360888-5 3.270521+0 1.362348-5 3.319097+0 1.364575-5 3.411592+0 1.365993-5 3.481273+0 1.370586-5 3.758241+0 1.374165-5 4.022248+0 1.380155-5 4.553656+0 1.384070-5 4.964224+0 1.391741-5 5.903768+0 1.394480-5 6.265153+0 1.396856-5 6.576485+0 1.399140-5 6.863610+0 1.401227-5 7.106851+0 1.403331-5 7.324688+0 1.405401-5 7.503831+0 1.407290-5 7.630074+0 1.409000-5 7.709269+0 1.410943-5 7.754581+0 1.412490-5 7.754572+0 1.414394-5 7.709134+0 1.415977-5 7.632994+0 1.417567-5 7.522323+0 1.419000-5 7.394442+0 1.420544-5 7.228983+0 1.421975-5 7.052483+0 1.423699-5 6.814159+0 1.425317-5 6.569808+0 1.426850-5 6.324710+0 1.428940-5 5.978297+0 1.434102-5 5.145837+0 1.438722-5 4.582960+0 1.443145-5 4.406083+0 1.443673-5 4.419952+0 1.444408-5 4.454643+0 1.445231-5 4.516543+0 1.446811-5 4.712135+0 1.447627-5 4.857847+0 1.448162-5 4.971644+0 1.448831-5 5.135871+0 1.449801-5 5.420866+0 1.450733-5 5.752135+0 1.451296-5 5.982095+0 1.452566-5 6.591130+0 1.452890-5 6.768261+0 1.454652-5 7.903878+0 1.456298-5 9.263510+0 1.457738-5 1.072947+1 1.458999-5 1.225380+1 1.461067-5 1.531618+1 1.464972-5 2.341533+1 1.467287-5 2.995754+1 1.468341-5 3.343280+1 1.470160-5 4.022943+1 1.471979-5 4.810781+1 1.473034-5 5.319850+1 1.475047-5 6.402565+1 1.477757-5 8.094184+1 1.479225-5 9.122411+1 1.482848-5 1.196920+2 1.484094-5 1.303689+2 1.486471-5 1.517094+2 1.487717-5 1.632458+2 1.488906-5 1.743818+2 1.490547-5 1.897962+2 1.492140-5 2.045735+2 1.493359-5 2.156220+2 1.494354-5 2.243886+2 1.495661-5 2.354357+2 1.497341-5 2.486689+2 1.499152-5 2.614173+2 1.500836-5 2.715769+2 1.501296-5 2.740362+2 1.503353-5 2.832264+2 1.504993-5 2.883012+2 1.506572-5 2.911922+2 1.508267-5 2.920650+2 1.508796-5 2.918628+2 1.511946-5 2.861001+2 1.513567-5 2.802474+2 1.515683-5 2.699552+2 1.517304-5 2.602767+2 1.518569-5 2.517959+2 1.520377-5 2.385007+2 1.522266-5 2.234620+2 1.523608-5 2.122732+2 1.525306-5 1.977400+2 1.526325-5 1.889199+2 1.528137-5 1.732433+2 1.529949-5 1.577950+2 1.532853-5 1.340625+2 1.533572-5 1.284581+2 1.537195-5 1.022558+2 1.540624-5 8.100281+1 1.543487-5 6.604003+1 1.547118-5 5.056441+1 1.551565-5 3.636751+1 1.553337-5 3.195643+1 1.555106-5 2.815991+1 1.556872-5 2.490655+1 1.558635-5 2.212866+1 1.560393-5 1.976333+1 1.562149-5 1.775312+1 1.563901-5 1.604640+1 1.567398-5 1.336379+1 1.570881-5 1.141933+1 1.574351-5 9.992136+0 1.577808-5 8.925563+0 1.581250-5 8.111504+0 1.584680-5 7.476623+0 1.588096-5 6.971488+0 1.591498-5 6.562606+0 1.594888-5 6.226929+0 1.598264-5 5.948224+0 1.601627-5 5.714746+0 1.608326-5 5.350041+0 1.614974-5 5.085619+0 1.621569-5 4.891766+0 1.628113-5 4.749275+0 1.634605-5 4.645147+0 1.641047-5 4.570195+0 1.647439-5 4.517710+0 1.653780-5 4.482703+0 1.660073-5 4.461392+0 1.666316-5 4.450837+0 1.678804-5 4.453387+0 1.690899-5 4.477259+0 1.702903-5 4.515845+0 1.726352-5 4.620779+0 1.771091-5 4.876365+0 1.872090-5 5.516443+0 1.942644-5 5.960501+0 2.033566-5 6.517273+0 2.153683-5 7.220754+0 2.275844-5 7.897645+0 2.342750-5 8.251111+0 2.471000-5 8.888404+0 2.543912-5 9.199693+0 2.568123-5 9.303321+0 2.580229-5 9.392487+0 2.590743-5 9.525806+0 2.593977-5 9.582206+0 2.603548-5 9.802422+0 2.613119-5 1.010912+1 2.626479-5 1.065652+1 2.638643-5 1.118086+1 2.642830-5 1.134105+1 2.650607-5 1.158129+1 2.656988-5 1.170606+1 2.664764-5 1.175714+1 2.670547-5 1.172421+1 2.679320-5 1.157696+1 2.686746-5 1.138875+1 2.707237-5 1.081719+1 2.718295-5 1.059948+1 2.722412-5 1.054536+1 2.730000-5 1.048593+1 2.735675-5 1.047482+1 2.750650-5 1.056741+1 2.764714-5 1.077579+1 2.788480-5 1.120616+1 2.796060-5 1.131895+1 2.805073-5 1.142253+1 2.817586-5 1.151405+1 2.859108-5 1.168222+1 3.147176-5 1.349015+1 3.350000-5 1.475305+1 3.564425-5 1.602682+1 3.950000-5 1.815761+1 4.230412-5 1.956793+1 4.501464-5 2.081946+1 4.731513-5 2.177202+1 5.000000-5 2.279244+1 5.490182-5 2.437999+1 5.851084-5 2.533252+1 6.304273-5 2.628647+1 6.726590-5 2.698233+1 7.233941-5 2.763727+1 7.931859-5 2.826533+1 8.709636-5 2.868995+1 9.601603-5 2.894158+1 1.048071-4 2.905137+1 1.198809-4 2.903365+1 1.369908-4 2.883570+1 1.596338-4 2.846141+1 1.827932-4 2.799035+1 2.108674-4 2.735419+1 2.322820-4 2.682699+1 2.549889-4 2.622740+1 2.813910-4 2.547647+1 2.944638-4 2.507663+1 3.102582-4 2.456055+1 3.239681-4 2.407978+1 3.398782-4 2.347555+1 3.567334-4 2.276957+1 3.730065-4 2.200868+1 3.896992-4 2.111580+1 4.047369-4 2.020496+1 4.171631-4 1.935153+1 4.285553-4 1.846899+1 4.387078-4 1.757804+1 4.474300-4 1.671404+1 4.556050-4 1.579790+1 4.628929-4 1.487141+1 4.752261-4 1.317492+1 4.766499-4 1.304431+1 4.839985-4 1.283094+1 4.892872-4 1.297682+1 4.935220-4 1.326761+1 4.965172-4 1.363627+1 4.989852-4 1.412051+1 5.010187-4 1.473063+1 5.026943-4 1.546708+1 5.040749-4 1.630956+1 5.052362-4 1.724027+1 5.058989-4 1.788208+1 5.069862-4 1.913739+1 5.078186-4 2.028716+1 5.088784-4 2.200826+1 5.099614-4 2.407448+1 5.130922-4 3.159480+1 5.145060-4 3.543915+1 5.157627-4 3.882860+1 5.168624-4 4.161539+1 5.175006-4 4.310355+1 5.182788-4 4.474990+1 5.190666-4 4.619365+1 5.199256-4 4.747623+1 5.207111-4 4.835552+1 5.215579-4 4.896721+1 5.223984-4 4.921325+1 5.232741-4 4.907663+1 5.245725-4 4.813366+1 5.251148-4 4.748438+1 5.258788-4 4.632849+1 5.264625-4 4.526819+1 5.273075-4 4.349267+1 5.282014-4 4.135863+1 5.290907-4 3.905025+1 5.295867-4 3.771450+1 5.308078-4 3.439630+1 5.326709-4 2.968047+1 5.337894-4 2.729403+1 5.343310-4 2.629679+1 5.350020-4 2.521721+1 5.357459-4 2.422690+1 5.363487-4 2.358267+1 5.370717-4 2.298949+1 5.378733-4 2.254415+1 5.386003-4 2.231296+1 5.390000-4 2.224771+1 5.394688-4 2.222063+1 5.402099-4 2.227213+1 5.406928-4 2.235789+1 5.419902-4 2.273803+1 5.446929-4 2.386732+1 5.463327-4 2.457354+1 5.478272-4 2.516510+1 5.501919-4 2.597739+1 5.518978-4 2.648194+1 5.535818-4 2.693072+1 5.577958-4 2.791938+1 5.639429-4 2.918571+1 5.694690-4 3.023275+1 5.795000-4 3.199358+1 5.853398-4 3.293595+1 5.937826-4 3.418036+1 6.048743-4 3.558448+1 6.179347-4 3.696960+1 6.303468-4 3.804567+1 6.468917-4 3.915620+1 6.674388-4 4.022215+1 6.928273-4 4.119927+1 7.311590-4 4.232076+1 7.820910-4 4.344792+1 8.354541-4 4.419880+1 8.891791-4 4.461223+1 9.671115-4 4.482085+1 1.060398-3 4.474172+1 1.148154-3 4.441988+1 1.206164-3 4.399215+1 1.447261-3 4.192021+1 1.616131-3 4.035935+1 1.791122-3 3.882583+1 2.008943-3 3.680350+1 2.238721-3 3.472729+1 2.444024-3 3.293185+1 2.709989-3 3.069296+1 2.950048-3 2.880442+1 3.162671-3 2.722357+1 3.435867-3 2.531566+1 3.761519-3 2.323914+1 4.112410-3 2.122544+1 4.442794-3 1.952768+1 4.886403-3 1.752419+1 5.447604-3 1.538830+1 6.074008-3 1.343074+1 7.058635-3 1.105513+1 8.939909-3 8.062032+0 1.412772-2 4.332791+0 1.679283-2 3.405462+0 1.959894-2 2.724856+0 2.238518-2 2.234018+0 2.515884-2 1.862243+0 2.814703-2 1.551733+0 3.417328-2 1.119942+0 3.989386-2 8.582497-1 4.883712-2 6.001360-1 5.831018-2 4.355844-1 7.132247-2 3.003855-1 8.737866-2 2.051850-1 1.087512-1 1.351620-1 1.424367-1 8.013469-2 1.970224-1 4.239740-2 3.164554-1 1.657707-2 7.651560-1 2.848902-3 2.341267+0 3.045495-4 7.070513+0 3.339633-5 2.135261+1 3.661873-6 6.448384+1 4.015168-7 1.947381+2 4.402545-8 5.880996+2 4.827294-9 1.995262+3 4.19378-10 6.309573+3 4.19378-11 1.995262+4 4.19378-12 6.309573+4 4.19378-13 1.000000+5 1.66957-13 1 8000 7 7 1.599940+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 8000 7 0 1.599940+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.438200-7 1.258900-6 3.864300-7 1.584900-6 6.124500-7 1.995300-6 9.706600-7 2.511900-6 1.538400-6 3.162300-6 2.438200-6 3.981100-6 3.864200-6 5.011900-6 6.124300-6 6.309600-6 9.706400-6 7.943300-6 1.538300-5 1.000000-5 2.438100-5 1.258900-5 3.864000-5 1.584900-5 6.124000-5 1.995300-5 9.705600-5 2.511900-5 1.538200-4 3.162300-5 2.437800-4 3.981100-5 3.863500-4 5.011900-5 6.122800-4 6.309600-5 9.703300-4 7.943300-5 1.537700-3 1.000000-4 2.435700-3 1.258900-4 3.857600-3 1.584900-4 6.109700-3 1.995300-4 9.668100-3 2.511900-4 1.529700-2 3.162300-4 2.417000-2 3.981100-4 3.814500-2 5.011900-4 6.002600-2 6.309600-4 9.404100-2 7.943300-4 1.465600-1 1.000000-3 2.266200-1 1.258900-3 3.457700-1 1.584900-3 5.176100-1 1.995300-3 7.555500-1 2.511900-3 1.067600+0 3.162300-3 1.449900+0 3.981100-3 1.884100+0 5.011900-3 2.336200+0 6.309600-3 2.763200+0 7.943300-3 3.135300+0 1.000000-2 3.447700+0 1.258900-2 3.706400+0 1.584900-2 3.924000+0 1.995300-2 4.102600+0 2.511900-2 4.235300+0 3.162300-2 4.309200+0 3.981100-2 4.321800+0 5.011900-2 4.277800+0 6.309600-2 4.183500+0 7.943300-2 4.047700+0 1.000000-1 3.877900+0 1.258900-1 3.682400+0 1.584900-1 3.466300+0 1.995300-1 3.237400+0 2.511900-1 3.002200+0 3.162300-1 2.766300+0 3.981100-1 2.533500+0 5.011900-1 2.308300+0 6.309600-1 2.091700+0 7.943300-1 1.885000+0 1.000000+0 1.689100+0 1.258900+0 1.504700+0 1.584900+0 1.332300+0 1.995300+0 1.172400+0 2.511900+0 1.025300+0 3.162300+0 8.912200-1 3.981100+0 7.701800-1 5.011900+0 6.619100-1 6.309600+0 5.659200-1 7.943300+0 4.815400-1 1.000000+1 4.079400-1 1.258900+1 3.442100-1 1.584900+1 2.893700-1 1.995300+1 2.424700-1 2.511900+1 2.025600-1 3.162300+1 1.687600-1 3.981100+1 1.402600-1 5.011900+1 1.163200-1 6.309600+1 9.627000-2 7.943300+1 7.953200-2 1.000000+2 6.559500-2 1.258900+2 5.401900-2 1.584900+2 4.442400-2 1.995300+2 3.648700-2 2.511900+2 2.993200-2 3.162300+2 2.452900-2 3.981100+2 2.008100-2 5.011900+2 1.642400-2 6.309600+2 1.342100-2 7.943300+2 1.095800-2 1.000000+3 8.940800-3 1.258900+3 7.289400-3 1.584900+3 5.938900-3 1.995300+3 4.835500-3 2.511900+3 3.934700-3 3.162300+3 3.199900-3 3.981100+3 2.600800-3 5.011900+3 2.112900-3 6.309600+3 1.715600-3 7.943300+3 1.392300-3 1.000000+4 1.129500-3 1.258900+4 9.158200-4 1.584900+4 7.422800-4 1.995300+4 6.013900-4 2.511900+4 4.870500-4 3.162300+4 3.943000-4 3.981100+4 3.191000-4 5.011900+4 2.581500-4 6.309600+4 2.087800-4 7.943300+4 1.687900-4 1.000000+5 1.364200-4 1 8000 7 7 1.599940+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584205-4 1.995262-4 1.994173-4 2.511886-4 2.510160-4 3.162278-4 3.159543-4 3.981072-4 3.976741-4 5.011872-4 5.005016-4 6.309573-4 6.298729-4 7.943282-4 7.926094-4 1.000000-3 9.972921-4 1.258925-3 1.254657-3 1.584893-3 1.578182-3 1.995262-3 1.984726-3 2.511886-3 2.495466-3 3.162278-3 3.136769-3 3.981072-3 3.941645-3 5.011872-3 4.951258-3 6.309573-3 6.216796-3 7.943282-3 7.801833-3 1.000000-2 9.784365-3 1.258925-2 1.225931-2 1.584893-2 1.534221-2 1.995262-2 1.917338-2 2.511886-2 2.392149-2 3.162278-2 2.979215-2 3.981072-2 3.702759-2 5.011872-2 4.591156-2 6.309573-2 5.677411-2 7.943282-2 6.999345-2 1.000000-1 8.600452-2 1.258925-1 1.053016-1 1.584893-1 1.284803-1 1.995262-1 1.562018-1 2.511886-1 1.892348-1 3.162278-1 2.284649-1 3.981072-1 2.749195-1 5.011872-1 3.297416-1 6.309573-1 3.943395-1 7.943282-1 4.703626-1 1.000000+0 5.598169-1 1.258925+0 6.651839-1 1.584893+0 7.895170-1 1.995262+0 9.365988-1 2.511886+0 1.111115+0 3.162278+0 1.318800+0 3.981072+0 1.566707+0 5.011872+0 1.863435+0 6.309573+0 2.219581+0 7.943282+0 2.648046+0 1.000000+1 3.164601+0 1.258925+1 3.788609+0 1.584893+1 4.543730+0 1.995262+1 5.458869+0 2.511886+1 6.569590+0 3.162278+1 7.919522+0 3.981072+1 9.561965+0 5.011872+1 1.156272+1 6.309573+1 1.400233+1 7.943282+1 1.697992+1 1.000000+2 2.061728+1 1.258925+2 2.506452+1 1.584893+2 3.050611+1 1.995262+2 3.716928+1 2.511886+2 4.533442+1 3.162278+2 5.534701+1 3.981072+2 6.763120+1 5.011872+2 8.271433+1 6.309573+2 1.012436+2 7.943282+2 1.240197+2 1.000000+3 1.520295+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 8000 7 9 1.599940+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090665-8 7.943282-5 1.728476-8 1.000000-4 2.738910-8 1.258925-4 4.340200-8 1.584893-4 6.877813-8 1.995262-4 1.089662-7 2.511886-4 1.726538-7 3.162278-4 2.734634-7 3.981072-4 4.330867-7 5.011872-4 6.855861-7 6.309573-4 1.084444-6 7.943282-4 1.718822-6 1.000000-3 2.707929-6 1.258925-3 4.268241-6 1.584893-3 6.710876-6 1.995262-3 1.053631-5 2.511886-3 1.642018-5 3.162278-3 2.550851-5 3.981072-3 3.942652-5 5.011872-3 6.061403-5 6.309573-3 9.277745-5 7.943282-3 1.414492-4 1.000000-2 2.156353-4 1.258925-2 3.299417-4 1.584893-2 5.067244-4 1.995262-2 7.792404-4 2.511886-2 1.197377-3 3.162278-2 1.830631-3 3.981072-2 2.783129-3 5.011872-2 4.207163-3 6.309573-2 6.321621-3 7.943282-2 9.439371-3 1.000000-1 1.399548-2 1.258925-1 2.059095-2 1.584893-1 3.000900-2 1.995262-1 4.332447-2 2.511886-1 6.195386-2 3.162278-1 8.776291-2 3.981072-1 1.231877-1 5.011872-1 1.714456-1 6.309573-1 2.366178-1 7.943282-1 3.239657-1 1.000000+0 4.401831-1 1.258925+0 5.937415-1 1.584893+0 7.953762-1 1.995262+0 1.058664+0 2.511886+0 1.400772+0 3.162278+0 1.843477+0 3.981072+0 2.414364+0 5.011872+0 3.148437+0 6.309573+0 4.089993+0 7.943282+0 5.295236+0 1.000000+1 6.835399+0 1.258925+1 8.800645+0 1.584893+1 1.130520+1 1.995262+1 1.449375+1 2.511886+1 1.854927+1 3.162278+1 2.370325+1 3.981072+1 3.024875+1 5.011872+1 3.855600+1 6.309573+1 4.909340+1 7.943282+1 6.245291+1 1.000000+2 7.938272+1 1.258925+2 1.008280+2 1.584893+2 1.279832+2 1.995262+2 1.623569+2 2.511886+2 2.058542+2 3.162278+2 2.608808+2 3.981072+2 3.304760+2 5.011872+2 4.184729+2 6.309573+2 5.297137+2 7.943282+2 6.703085+2 1.000000+3 8.479705+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 8000 7 0 1.599940+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 1.415000-5 5.994968+6 1.419000-5 6.018234+6 1.419000-5 8.998034+6 1.450000-5 9.271368+6 1.496236-5 9.606222+6 1.500000-5 9.632159+6 1.531087-5 9.818278+6 1.550000-5 9.924176+6 1.590000-5 1.011416+7 1.610000-5 1.020037+7 1.650000-5 1.033987+7 1.678804-5 1.043035+7 1.717908-5 1.052458+7 1.757924-5 1.060661+7 1.800000-5 1.066627+7 1.840772-5 1.071119+7 1.883649-5 1.073576+7 1.927525-5 1.074965+7 1.995262-5 1.073914+7 2.041738-5 1.072165+7 2.113489-5 1.066577+7 2.162719-5 1.061954+7 2.238721-5 1.052399+7 2.300000-5 1.044030+7 2.371374-5 1.032339+7 2.471000-5 1.015387+7 2.540973-5 1.002011+7 2.660725-5 9.788296+6 2.730000-5 9.644729+6 2.851018-5 9.393592+6 2.917427-5 9.249603+6 2.923000-5 9.237212+6 2.923000-5 9.706108+6 2.980000-5 9.612881+6 3.054921-5 9.493884+6 3.126079-5 9.371100+6 3.150000-5 9.330325+6 3.198895-5 9.244882+6 3.273407-5 9.117363+6 3.350000-5 8.977910+6 3.388442-5 8.909049+6 3.450000-5 8.797271+6 3.507519-5 8.694398+6 3.548134-5 8.617880+6 3.630781-5 8.464723+6 3.672823-5 8.386734+6 3.764500-5 8.219703+6 3.801894-5 8.148733+6 3.900000-5 7.966105+6 3.950000-5 7.873692+6 4.027170-5 7.733259+6 4.120975-5 7.559173+6 4.168694-5 7.472420+6 4.300000-5 7.237750+6 4.415704-5 7.028672+6 4.500000-5 6.880211+6 4.570882-5 6.758379+6 4.695900-5 6.543241+6 4.731513-5 6.482866+6 4.841724-5 6.300001+6 5.000000-5 6.041881+6 5.011872-5 6.023057+6 5.150000-5 5.806861+6 5.300000-5 5.577349+6 5.308844-5 5.564156+6 5.500000-5 5.286322+6 5.623413-5 5.113049+6 5.650000-5 5.076580+6 5.821032-5 4.847984+6 5.956621-5 4.673099+6 6.025596-5 4.587305+6 6.165950-5 4.417891+6 6.309573-5 4.249533+6 6.400000-5 4.147922+6 6.606934-5 3.926637+6 6.683439-5 3.847265+6 6.839116-5 3.691919+6 7.079458-5 3.468438+6 7.161434-5 3.395173+6 7.328245-5 3.251868+6 7.585776-5 3.046658+6 7.673615-5 2.979803+6 7.852356-5 2.849210+6 8.222426-5 2.603675+6 8.511380-5 2.428790+6 8.810489-5 2.265049+6 8.912509-5 2.212479+6 9.332543-5 2.011495+6 9.440609-5 1.963987+6 9.885531-5 1.783414+6 1.011579-4 1.698571+6 1.040000-4 1.600960+6 1.083927-4 1.465384+6 1.109175-4 1.394329+6 1.161449-4 1.261498+6 1.174898-4 1.230286+6 1.244515-4 1.084141+6 1.273503-4 1.030421+6 1.303167-4 9.788131+5 1.400000-4 8.342731+5 1.479108-4 7.365417+5 1.548817-4 6.636083+5 1.584893-4 6.296213+5 1.659587-4 5.663585+5 1.720000-4 5.216440+5 1.778279-4 4.828426+5 1.862087-4 4.336331+5 1.950000-4 3.893948+5 2.000000-4 3.668700+5 2.089296-4 3.308230+5 2.187762-4 2.966858+5 2.264644-4 2.732269+5 2.371374-4 2.447259+5 2.426610-4 2.316213+5 2.600160-4 1.960681+5 2.691535-4 1.804085+5 2.786121-4 1.658221+5 3.019952-4 1.363176+5 3.200000-4 1.182639+5 3.388442-4 1.028012+5 3.427678-4 9.991319+4 3.758374-4 7.958942+4 3.935501-4 7.104691+4 4.000000-4 6.822863+4 4.265795-4 5.813616+4 4.518559-4 5.037764+4 4.570882-4 4.895551+4 4.841724-4 4.235242+4 5.128614-4 3.663985+4 5.188000-4 3.559415+4 5.372800-4 3.254943+4 5.372800-4 5.075634+5 5.390000-4 5.106111+5 5.410000-4 5.111875+5 5.440000-4 5.091777+5 5.495409-4 5.020960+5 5.740000-4 4.728121+5 5.821032-4 4.620193+5 5.850000-4 4.582514+5 5.970000-4 4.404630+5 6.100000-4 4.197538+5 6.309573-4 3.861263+5 6.606934-4 3.435238+5 6.683439-4 3.336211+5 6.760830-4 3.240034+5 7.244360-4 2.743706+5 7.585776-4 2.455850+5 7.673615-4 2.388684+5 7.800000-4 2.296522+5 8.413951-4 1.898920+5 8.768010-4 1.708222+5 8.810489-4 1.687138+5 1.000000-3 1.218523+5 1.023293-3 1.148533+5 1.035142-3 1.114191+5 1.047129-3 1.080852+5 1.135011-3 8.738104+4 1.161449-3 8.213997+4 1.216186-3 7.258242+4 1.230269-3 7.037201+4 1.333521-3 5.666529+4 1.364583-3 5.326446+4 1.396368-3 5.000540+4 1.445440-3 4.548668+4 1.531087-3 3.883984+4 1.566751-3 3.646154+4 1.603245-3 3.419821+4 1.659587-3 3.106378+4 1.757924-3 2.646208+4 1.840772-3 2.327678+4 1.862087-3 2.254225+4 1.949845-3 1.978545+4 2.041738-3 1.736433+4 2.113489-3 1.574501+4 2.238721-3 1.337474+4 2.317395-3 1.210992+4 2.371374-3 1.133335+4 2.454709-3 1.026087+4 2.660725-3 8.136681+3 2.722701-3 7.608397+3 2.754229-3 7.357075+3 2.851018-3 6.651851+3 3.162278-3 4.916530+3 3.198895-3 4.752117+3 3.273407-3 4.439378+3 3.349654-3 4.147224+3 3.715352-3 3.052949+3 3.801894-3 2.852048+3 3.845918-3 2.755395+3 4.415704-3 1.821865+3 4.466836-3 1.760129+3 4.570882-3 1.642783+3 4.623810-3 1.587077+3 5.370318-3 1.008415+3 5.559043-3 9.081523+2 5.623413-3 8.769982+2 6.456542-3 5.743140+2 6.918310-3 4.646985+2 7.328245-3 3.888048+2 7.498942-3 3.620394+2 8.000000-3 2.963101+2 8.609938-3 2.359633+2 9.332543-3 1.833313+2 9.660509-3 1.645365+2 9.885531-3 1.530898+2 1.083927-2 1.147121+2 1.202264-2 8.263396+1 1.230269-2 7.682496+1 1.244515-2 7.407393+1 1.380384-2 5.335031+1 1.548817-2 3.694049+1 1.659587-2 2.962596+1 1.717908-2 2.653127+1 1.972423-2 1.699641+1 2.137962-2 1.310647+1 2.238721-2 1.129765+1 2.540973-2 7.484584+0 2.570396-2 7.209474+0 2.951209-2 4.599766+0 3.388442-2 2.925296+0 4.168694-2 1.483224+0 4.315191-2 1.323605+0 4.786301-2 9.406201-1 4.841724-2 9.055783-1 5.559043-2 5.742076-1 5.888437-2 4.749293-1 6.382635-2 3.639716-1 6.918310-2 2.789373-1 7.762471-2 1.907306-1 8.317638-2 1.518340-1 9.225714-2 1.078431-1 9.549926-2 9.622039-2 9.885531-2 8.585149-2 1.096478-1 6.098047-2 1.148154-1 5.237991-2 1.258925-1 3.872282-2 1.303167-1 3.457538-2 1.318257-1 3.329475-2 1.445440-1 2.461767-2 1.513561-1 2.120250-2 1.603245-1 1.759186-2 1.640590-1 1.632686-2 1.717908-1 1.406326-2 1.737801-1 1.354819-2 1.840772-1 1.126832-2 1.927525-1 9.723926-3 1.949845-1 9.372326-3 2.041738-1 8.088566-3 2.065380-1 7.796105-3 2.187762-1 6.500791-3 2.264644-1 5.829348-3 2.398833-1 4.861584-3 2.454709-1 4.526377-3 2.511886-1 4.214285-3 2.600160-1 3.786021-3 2.722701-1 3.282399-3 2.754229-1 3.169283-3 2.951209-1 2.567916-3 3.019952-1 2.394155-3 3.090295-1 2.232154-3 3.311311-1 1.816175-3 3.349654-1 1.754879-3 3.467369-1 1.583124-3 3.589219-1 1.431304-3 3.672823-1 1.338268-3 3.715352-1 1.294098-3 3.845918-1 1.170143-3 3.890451-1 1.132410-3 4.073803-1 9.932573-4 4.120975-1 9.612704-4 4.229500-1 8.927870-4 4.265795-1 8.713581-4 4.466836-1 7.668803-4 4.518559-1 7.428135-4 4.570882-1 7.195015-4 4.677351-1 6.750502-4 4.897788-1 5.961461-4 4.954502-1 5.779335-4 5.128614-1 5.265668-4 5.370318-1 4.667249-4 5.432503-1 4.528818-4 5.623413-1 4.137677-4 5.821032-1 3.790597-4 5.888437-1 3.681498-4 5.956621-1 3.575728-4 6.165950-1 3.276303-4 6.309573-1 3.096380-4 6.447400-1 2.936527-4 6.531306-1 2.845024-4 6.683439-1 2.689078-4 6.839117-1 2.546113-4 6.998420-1 2.410751-4 7.161434-1 2.282805-4 7.244360-1 2.221402-4 7.413102-1 2.107054-4 7.585776-1 1.998591-4 7.852356-1 1.846551-4 8.035261-1 1.754842-4 8.222427-1 1.667687-4 8.511380-1 1.545249-4 8.709636-1 1.471188-4 9.015711-1 1.366700-4 9.332543-1 1.269815-4 9.440609-1 1.240104-4 9.549926-1 1.211089-4 9.885531-1 1.128052-4 1.000000+0 1.101700-4 1.023293+0 1.050828-4 1.035142+0 1.026281-4 1.074800+0 9.517128-5 1.122018+0 8.730555-5 1.135011+0 8.531521-5 1.159100+0 8.180083-5 1.202264+0 7.618560-5 1.258925+0 6.965825-5 1.273503+0 6.811954-5 1.303167+0 6.526742-5 1.364583+0 5.991652-5 1.380384+0 5.864880-5 1.396368+0 5.741083-5 1.412538+0 5.625002-5 1.496236+0 5.078897-5 1.500000+0 5.056308-5 1.513561+0 4.976465-5 1.621810+0 4.433111-5 1.640590+0 4.348503-5 1.659587+0 4.265713-5 1.819701+0 3.681686-5 1.840772+0 3.614686-5 2.044000+0 3.077299-5 2.089296+0 2.975361-5 2.113489+0 2.923287-5 2.317395+0 2.552389-5 2.344229+0 2.509466-5 2.398833+0 2.425948-5 2.630268+0 2.129620-5 2.660725+0 2.095221-5 2.722701+0 2.028220-5 3.019952+0 1.761442-5 3.090295+0 1.707097-5 3.162278+0 1.654527-5 3.507519+0 1.444090-5 3.589219+0 1.401089-5 3.672823+0 1.359445-5 4.168694+0 1.157837-5 4.265795+0 1.124533-5 4.365158+0 1.092245-5 5.011872+0 9.221652-6 5.128614+0 8.965135-6 5.248075+0 8.716180-6 6.095369+0 7.298843-6 6.237348+0 7.102264-6 6.456542+0 6.817722-6 7.762471+0 5.515198-6 7.852356+0 5.442598-6 8.128305+0 5.230800-6 1.000000+1 4.148314-6 1.011579+1 4.095224-6 1.047129+1 3.940192-6 1.348963+1 2.988035-6 1.364583+1 2.950701-6 1.412538+1 2.841612-6 1.905461+1 2.065574-6 1.972423+1 1.990936-6 2.065380+1 1.895699-6 2.917427+1 1.321345-6 3.000000+1 1.283362-6 3.019952+1 1.274503-6 3.090295+1 1.244227-6 5.011872+1 7.564464-7 5.069907+1 7.475365-7 5.188000+1 7.300424-7 1.000000+2 3.747529-7 1.011579+2 3.703944-7 1.035142+2 3.618323-7 1.995262+2 1.867538-7 2.018366+2 1.845993-7 2.065380+2 1.803658-7 7.943282+2 4.670402-8 8.035261+2 4.616777-8 8.222427+2 4.511382-8 1.000000+5 3.70401-10 1 8000 7 0 1.599940+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 1.415000-5 1.415000-5 2.923000-5 1.416333-5 2.923000-5 1.489120-5 3.450000-5 1.535902-5 4.168694-5 1.585893-5 5.650000-5 1.670660-5 8.222426-5 1.806104-5 1.011579-4 1.892447-5 1.174898-4 1.954848-5 1.400000-4 2.025992-5 1.720000-4 2.109124-5 2.089296-4 2.188998-5 2.426610-4 2.251226-5 2.786121-4 2.305316-5 3.200000-4 2.355562-5 3.935501-4 2.424809-5 4.841724-4 2.489830-5 5.372800-4 2.521173-5 5.372800-4 3.796604-5 6.100000-4 3.809708-5 1.396368-3 3.824380-5 1.244515-2 3.831567-5 1.000000+5 3.832063-5 1 8000 7 7 1.599940+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.415000-5 0.0 5.372800-4 0.0 5.372800-4 3.021460-6 5.495409-4 3.030906-6 5.970000-4 3.046377-6 1.047129-3 3.060000-6 1.096478-1 3.054371-6 1.000000+5 3.054337-6 1 8000 7 9 1.599940+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.415000-5 0.0 1.419000-5 4.000000-8 1.419000-5 2.675355-8 2.923000-5 1.506667-5 2.923000-5 1.433880-5 3.450000-5 1.914098-5 4.300000-5 2.705941-5 8.222426-5 6.416322-5 1.174898-4 9.794132-5 1.950000-4 1.733930-4 3.427678-4 3.189744-4 5.372800-4 5.120683-4 5.372800-4 4.962925-4 1.000000+5 1.000000+5 1 8000 7 0 1.599940+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 5.372800-4 4.750140+5 5.390000-4 4.783260+5 5.410000-4 4.792060+5 5.440000-4 4.776440+5 5.740000-4 4.453160+5 5.850000-4 4.320600+5 5.970000-4 4.156160+5 6.100000-4 3.962560+5 6.309573-4 3.645947+5 6.760830-4 3.060128+5 7.800000-4 2.172940+5 8.413951-4 1.797800+5 1.023293-3 1.088527+5 1.135011-3 8.284299+4 1.364583-3 5.051151+4 1.566751-3 3.457861+4 1.862087-3 2.137902+4 2.238721-3 1.268335+4 2.660725-3 7.714688+3 3.162278-3 4.660615+3 3.801894-3 2.702987+3 4.623810-3 1.503896+3 5.623413-3 8.309112+2 6.918310-3 4.402212+2 8.609938-3 2.234996+2 1.083927-2 1.086358+2 1.380384-2 5.051602+1 1.717908-2 2.511907+1 2.238721-2 1.069468+1 2.951209-2 4.353696+0 4.168694-2 1.403692+0 5.888437-2 4.494063-1 1.148154-1 4.955322-2 1.445440-1 2.328773-2 1.737801-1 1.281586-2 2.065380-1 7.374774-3 2.398833-1 4.598957-3 2.722701-1 3.105173-3 3.090295-1 2.111675-3 3.467369-1 1.497680-3 3.845918-1 1.106983-3 4.265795-1 8.243331-4 4.677351-1 6.386198-4 5.128614-1 4.981487-4 5.623413-1 3.914359-4 6.165950-1 3.099463-4 6.683439-1 2.543949-4 7.244360-1 2.101508-4 7.852356-1 1.746873-4 8.511380-1 1.461828-4 9.332543-1 1.201267-4 1.035142+0 9.708873-5 1.159100+0 7.738500-5 1.273503+0 6.444332-5 1.396368+0 5.431273-5 1.513561+0 4.707930-5 1.659587+0 4.035511-5 1.840772+0 3.419622-5 2.113489+0 2.765554-5 2.398833+0 2.295029-5 2.722701+0 1.918760-5 3.162278+0 1.565234-5 3.672823+0 1.286077-5 4.365158+0 1.033299-5 5.248075+0 8.245819-6 6.456542+0 6.449772-6 8.128305+0 4.948499-6 1.047129+1 3.727567-6 1.412538+1 2.688255-6 2.065380+1 1.793401-6 3.090295+1 1.177101-6 5.188000+1 6.906564-7 1.035142+2 3.423121-7 2.065380+2 1.706354-7 8.222427+2 4.268009-8 1.000000+5 3.50420-10 1 8000 7 0 1.599940+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 5.372800-4 3.884000-5 1.000000+5 3.884000-5 1 8000 7 7 1.599940+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.372800-4 3.228500-6 1.000000+5 3.228500-6 1 8000 7 9 1.599940+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.372800-4 4.952115-4 1.000000+5 1.000000+5 1 8000 7 0 1.599940+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.923000-5 4.688960+5 2.980000-5 5.001360+5 3.054921-5 5.387023+5 3.126079-5 5.727308+5 3.198895-5 6.051350+5 3.273407-5 6.355905+5 3.350000-5 6.643780+5 3.450000-5 6.981440+5 3.548134-5 7.273325+5 3.672823-5 7.593422+5 3.801894-5 7.871315+5 3.950000-5 8.130880+5 4.120975-5 8.362195+5 4.300000-5 8.537600+5 4.500000-5 8.666880+5 4.731513-5 8.745066+5 5.000000-5 8.760620+5 5.300000-5 8.705900+5 5.623413-5 8.583685+5 5.956621-5 8.408812+5 6.309573-5 8.186714+5 6.683439-5 7.923930+5 7.161434-5 7.563180+5 7.673615-5 7.163651+5 8.222426-5 6.735615+5 8.810489-5 6.287366+5 9.440609-5 5.828683+5 1.011579-4 5.367544+5 1.083927-4 4.912400+5 1.174898-4 4.397286+5 1.273503-4 3.908153+5 1.400000-4 3.375800+5 1.548817-4 2.864484+5 1.720000-4 2.398600+5 1.950000-4 1.923800+5 2.187762-4 1.560023+5 2.426610-4 1.283485+5 2.691535-4 1.048981+5 3.019952-4 8.316340+4 3.388442-4 6.544903+4 3.935501-4 4.755460+4 4.570882-4 3.431419+4 5.188000-4 2.586342+4 5.821032-4 1.986171+4 6.606934-4 1.473830+4 7.585776-4 1.056516+4 8.768010-4 7.398820+3 1.035142-3 4.875101+3 1.230269-3 3.136234+3 1.445440-3 2.062105+3 1.659587-3 1.429128+3 1.949845-3 9.246631+2 2.317395-3 5.755729+2 2.722701-3 3.670883+2 3.198895-3 2.324225+2 3.801894-3 1.413334+2 4.466836-3 8.819724+1 5.370318-3 5.104895+1 6.456542-3 2.932632+1 8.000000-3 1.526158+1 9.885531-3 7.944051+0 1.230269-2 4.013352+0 1.548817-2 1.940431+0 1.972423-2 8.975646-1 2.540973-2 3.971101-1 3.388442-2 1.558613-1 4.786301-2 5.030516-2 9.549926-2 5.165834-3 1.303167-1 1.859270-3 1.603245-1 9.470423-4 1.927525-1 5.237637-4 2.264644-1 3.138637-4 2.600160-1 2.037924-4 2.951209-1 1.381752-4 3.311311-1 9.771399-5 3.672823-1 7.200809-5 4.073803-1 5.343988-5 4.466836-1 4.126480-5 4.897788-1 3.207488-5 5.370318-1 2.511136-5 5.888437-1 1.980814-5 6.447400-1 1.580300-5 6.998420-1 1.297594-5 7.585776-1 1.075850-5 8.222427-1 8.977579-6 9.015711-1 7.357576-6 9.885531-1 6.072906-6 1.122018+0 4.700705-6 1.258925+0 3.751746-6 1.380384+0 3.158744-6 1.500000+0 2.723100-6 1.640590+0 2.342213-6 1.819701+0 1.983261-6 2.089296+0 1.602580-6 2.344229+0 1.351231-6 2.660725+0 1.128299-6 3.090295+0 9.193989-7 3.589219+0 7.546235-7 4.265795+0 6.056794-7 5.128614+0 4.828678-7 6.237348+0 3.824842-7 7.852356+0 2.931197-7 1.011579+1 2.205583-7 1.364583+1 1.589340-7 1.972423+1 1.072233-7 3.019952+1 6.865625-8 5.069907+1 4.027130-8 1.011579+2 1.995510-8 2.018366+2 9.946066-9 8.035261+2 2.487515-9 1.000000+5 1.99580-11 1 8000 7 0 1.599940+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.923000-5 2.923000-5 1.000000+5 2.923000-5 1 8000 7 9 1.599940+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.923000-5 0.0 1.000000+5 1.000000+5 1 8000 7 0 1.599940+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.419000-5 2.979800+6 1.450000-5 3.072000+6 1.496236-5 3.185300+6 1.531087-5 3.258100+6 1.590000-5 3.358400+6 1.650000-5 3.434700+6 1.717908-5 3.498400+6 1.800000-5 3.546900+6 1.883649-5 3.570500+6 1.995262-5 3.573700+6 2.113489-5 3.550700+6 2.238721-5 3.505100+6 2.371374-5 3.439800+6 2.540973-5 3.339500+6 2.730000-5 3.215200+6 2.917427-5 3.083700+6 3.150000-5 2.917200+6 3.388442-5 2.746500+6 3.630781-5 2.574800+6 3.900000-5 2.390200+6 4.168694-5 2.214000+6 4.415704-5 2.059200+6 4.695900-5 1.893100+6 5.011872-5 1.719000+6 5.308844-5 1.568100+6 5.650000-5 1.409500+6 6.025596-5 1.253000+6 6.400000-5 1.114800+6 6.839116-5 9.730800+5 7.328245-5 8.385400+5 7.852356-5 7.178400+5 8.511380-5 5.943200+5 9.332543-5 4.752100+5 1.040000-4 3.621200+5 1.161449-4 2.724400+5 1.303167-4 2.012200+5 1.479108-4 1.431200+5 1.659587-4 1.042300+5 1.862087-4 7.529400+4 2.089296-4 5.393800+4 2.371374-4 3.704800+4 2.786121-4 2.275800+4 3.427678-4 1.207200+4 4.000000-4 7.479900+3 4.518559-4 5.089800+3 5.128614-4 3.385200+3 5.821032-4 2.235500+3 6.683439-4 1.410800+3 7.673615-4 8.837500+2 1.000000-3 3.568800+2 1.161449-3 2.121500+2 1.333521-3 1.303500+2 1.531087-3 7.953700+1 1.757924-3 4.817200+1 2.041738-3 2.776700+1 2.371374-3 1.588000+1 2.754229-3 9.015400+0 3.273407-3 4.652900+0 3.715352-3 2.847521+0 4.415704-3 1.446468+0 5.370318-3 6.660451-1 7.498942-3 1.756165-1 9.660509-3 6.340010-2 1.244515-2 2.271839-2 1.659587-2 6.995939-3 2.570396-2 1.155670-3 4.315191-2 1.365956-4 5.559043-2 4.840325-5 6.918310-2 1.989261-5 8.317638-2 9.473365-6 9.885531-2 4.760836-6 1.148154-1 2.639452-6 1.318257-1 1.541581-6 1.513561-1 9.070897-7 1.717908-1 5.620051-7 1.949845-1 3.508820-7 2.187762-1 2.303080-7 2.454709-1 1.522394-7 2.722701-1 1.056161-7 3.019952-1 7.380054-8 3.349654-1 5.198946-8 3.715352-1 3.691275-8 4.120975-1 2.641527-8 4.518559-1 1.975179-8 4.954502-1 1.487492-8 5.432503-1 1.129404-8 5.956621-1 8.642167-9 6.531306-1 6.663842-9 7.161434-1 5.178490-9 7.852356-1 4.054267-9 9.015711-1 2.835341-9 9.549926-1 2.458085-9 1.000000+0 2.205600-9 1.074800+0 1.879500-9 1.135011+0 1.677821-9 1.202264+0 1.498872-9 1.303167+0 1.291685-9 1.412538+0 1.121068-9 1.621810+0 8.88730-10 1.819701+0 7.37910-10 2.044000+0 6.16070-10 2.317395+0 5.11006-10 2.630268+0 4.26402-10 3.019952+0 3.52642-10 3.507519+0 2.89116-10 4.168694+0 2.31809-10 5.011872+0 1.84627-10 6.095369+0 1.46121-10 7.762471+0 1.10428-10 1.000000+1 8.30640-11 1.348963+1 5.98371-11 1.905461+1 4.13559-11 2.917427+1 2.64569-11 5.011872+1 1.51512-11 1.000000+2 7.50700-12 1.995262+2 3.74141-12 7.943282+2 9.35653-13 1.000000+5 7.42090-15 1 8000 7 0 1.599940+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.419000-5 1.419000-5 1.000000+5 1.419000-5 1 8000 7 9 1.599940+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.419000-5 0.0 1.000000+5 1.000000+5 1 8000 7 0 1.599940+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.415000-5 5.994968+6 1.450000-5 6.199368+6 1.500000-5 6.438995+6 1.550000-5 6.633795+6 1.610000-5 6.816409+6 1.678804-5 6.968462+6 1.757924-5 7.084369+6 1.840772-5 7.152674+6 1.927525-5 7.177872+6 2.041738-5 7.157167+6 2.162719-5 7.087146+6 2.300000-5 6.965982+6 2.471000-5 6.774182+6 2.660725-5 6.529112+6 2.851018-5 6.264912+6 3.054921-5 5.972556+6 3.273407-5 5.655755+6 3.507519-5 5.319927+6 3.764500-5 4.960882+6 4.027170-5 4.606033+6 4.300000-5 4.254779+6 4.570882-5 3.925028+6 4.841724-5 3.615599+6 5.150000-5 3.287577+6 5.500000-5 2.947444+6 5.821032-5 2.665459+6 6.165950-5 2.392110+6 6.606934-5 2.084621+6 7.079458-5 1.802915+6 7.585776-5 1.547938+6 8.222426-5 1.285697+6 8.912509-5 1.060192+6 9.885531-5 8.204205+5 1.109175-4 6.116335+5 1.244515-4 4.527855+5 1.400000-4 3.307631+5 1.584893-4 2.358009+5 1.778279-4 1.708727+5 2.000000-4 1.219471+5 2.264644-4 8.457780+4 2.600160-4 5.582909+4 3.200000-4 2.964324+4 3.758374-4 1.805042+4 4.265795-4 1.213989+4 4.841724-4 8.101805+3 5.495409-4 5.365499+3 6.309573-4 3.395361+3 7.244360-4 2.132606+3 8.810489-4 1.092835+3 1.047129-3 6.031857+2 1.216186-3 3.575146+2 1.396368-3 2.190390+2 1.603245-3 1.332358+2 1.840772-3 8.046560+1 2.113489-3 4.826281+1 2.454709-3 2.753179+1 2.851018-3 1.559184+1 3.349654-3 8.390460+0 3.845918-3 4.901503+0 4.570882-3 2.484333+0 5.559043-3 1.141124+0 7.328245-3 3.773674-1 9.332543-3 1.422116-1 1.202264-2 5.075457-2 1.548817-2 1.793930-2 2.137962-2 4.733994-3 4.841724-2 1.587953-4 6.382635-2 5.075000-5 7.762471-2 2.275624-5 9.225714-2 1.128959-5 1.096478-1 5.643996-6 1.258925-1 3.263306-6 1.445440-1 1.900712-6 1.640590-1 1.166134-6 1.840772-1 7.532537-7 2.041738-1 5.117736-7 2.264644-1 3.502590-7 2.511886-1 2.415774-7 2.754229-1 1.748292-7 3.019952-1 1.274026-7 3.311311-1 9.355644-8 3.589219-1 7.189852-8 3.890451-1 5.562523-8 4.229500-1 4.294200-8 4.570882-1 3.400794-8 4.954502-1 2.688455-8 5.370318-1 2.140978-8 5.821032-1 1.717568-8 6.309573-1 1.388302-8 6.839117-1 1.130807-8 7.413102-1 9.284997-9 8.035261-1 7.682654-9 8.709636-1 6.405314-9 9.440609-1 5.380751-9 1.023293+0 4.552612-9 1.135011+0 3.691953-9 1.258925+0 3.015129-9 1.364583+0 2.593699-9 1.496236+0 2.200308-9 1.640590+0 1.884397-9 1.819701+0 1.595509-9 2.089296+0 1.289305-9 2.344229+0 1.087134-9 2.660725+0 9.07741-10 3.090295+0 7.39628-10 3.589219+0 6.07077-10 4.265795+0 4.87254-10 5.128614+0 3.88450-10 6.237348+0 3.07697-10 7.852356+0 2.35808-10 1.011579+1 1.77433-10 1.364583+1 1.27854-10 1.972423+1 8.62587-11 3.000000+1 5.56130-11 5.069907+1 3.23978-11 1.011579+2 1.60538-11 2.018366+2 8.00144-12 8.035261+2 2.00107-12 1.000000+5 1.60550-14 1 8000 7 0 1.599940+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.415000-5 1.415000-5 1.000000+5 1.415000-5 1 8000 7 9 1.599940+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.415000-5 0.0 1.000000+5 1.000000+5 1 8000 7 0 1.599940+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.396190-9 1.028750+0 2.396190-8 1.036640+0 2.396190-7 1.046400+0 1.079490-6 1.048300+0 1.343990-6 1.051200+0 1.823090-6 1.054080+0 2.396190-6 1.057700+0 3.266140-6 1.061100+0 4.248400-6 1.065100+0 5.624360-6 1.070400+0 7.846470-6 1.076200+0 1.084370-5 1.080600+0 1.354200-5 1.087100+0 1.824570-5 1.093710+0 2.396190-5 1.102600+0 3.322540-5 1.110700+0 4.333670-5 1.120600+0 5.797900-5 1.133300+0 8.062540-5 1.147500+0 1.113370-4 1.158200+0 1.383690-4 1.174100+0 1.849000-4 1.190110+0 2.396190-4 1.205100+0 2.980780-4 1.227500+0 3.987250-4 1.250000+0 5.159000-4 1.281300+0 7.057770-4 1.308600+0 8.967660-4 1.332500+0 1.083060-3 1.374400+0 1.451470-3 1.405800+0 1.761230-3 1.452900+0 2.276980-3 1.500000+0 2.850000-3 1.562500+0 3.690010-3 1.617200+0 4.491720-3 1.712900+0 6.024660-3 1.784700+0 7.266770-3 1.892300+0 9.246850-3 2.000000+0 1.134000-2 2.044000+0 1.222000-2 2.163500+0 1.466160-2 2.372600+0 1.905500-2 2.647100+0 2.491260-2 3.000000+0 3.241000-2 3.437500+0 4.147570-2 4.000000+0 5.256000-2 4.750000+0 6.620440-2 5.000000+0 7.051000-2 6.000000+0 8.664000-2 7.000000+0 1.010000-1 8.000000+0 1.139000-1 9.000000+0 1.257000-1 1.000000+1 1.363000-1 1.100000+1 1.460000-1 1.200000+1 1.549000-1 1.300000+1 1.632000-1 1.400000+1 1.709000-1 1.500000+1 1.781000-1 1.600000+1 1.849000-1 1.800000+1 1.973000-1 2.000000+1 2.084000-1 2.200000+1 2.185000-1 2.400000+1 2.277000-1 2.600000+1 2.361000-1 2.800000+1 2.439000-1 3.000000+1 2.511000-1 4.000000+1 2.804000-1 5.000000+1 3.028000-1 6.000000+1 3.204000-1 8.000000+1 3.472000-1 1.000000+2 3.668000-1 1.500000+2 3.993000-1 2.000000+2 4.193000-1 3.000000+2 4.433000-1 4.000000+2 4.573000-1 5.000000+2 4.666000-1 6.000000+2 4.733000-1 8.000000+2 4.823000-1 1.000000+3 4.882000-1 1.500000+3 4.968000-1 2.000000+3 5.015000-1 3.000000+3 5.066000-1 4.000000+3 5.093000-1 5.000000+3 5.110000-1 6.000000+3 5.123000-1 8.000000+3 5.138000-1 1.000000+4 5.148000-1 1.500000+4 5.162000-1 2.000000+4 5.170000-1 3.000000+4 5.178000-1 4.000000+4 5.182000-1 5.000000+4 5.184000-1 6.000000+4 5.186000-1 8.000000+4 5.188000-1 1.000000+5 5.190000-1 1 8000 7 8 1.599940+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 8000 7 9 1.599940+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 8000 7 0 1.599940+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 8.033850-8 2.136250+0 8.033850-7 2.147000+0 1.101500-6 2.156900+0 1.430710-6 2.169000+0 1.909380-6 2.184500+0 2.654100-6 2.201800+0 3.672020-6 2.214800+0 4.575050-6 2.234200+0 6.154250-6 2.253680+0 8.033850-6 2.281500+0 1.125280-5 2.307000+0 1.478060-5 2.338200+0 1.987380-5 2.377400+0 2.752280-5 2.410200+0 3.500450-5 2.446800+0 4.452770-5 2.485900+0 5.606270-5 2.532900+0 7.174810-5 2.556430+0 8.033850-5 2.611900+0 1.024400-4 2.660400+0 1.238430-4 2.745300+0 1.657550-4 2.809000+0 2.007370-4 2.904500+0 2.585950-4 3.000000+0 3.228000-4 3.125000+0 4.162620-4 3.234400+0 5.065330-4 3.425800+0 6.822160-4 3.569300+0 8.273580-4 3.784700+0 1.063770-3 4.000000+0 1.318000-3 4.250000+0 1.628880-3 4.625000+0 2.117640-3 5.000000+0 2.626000-3 5.500000+0 3.324360-3 6.000000+0 4.033000-3 6.750000+0 5.089700-3 7.000000+0 5.438000-3 8.000000+0 6.803000-3 9.000000+0 8.111000-3 1.000000+1 9.357000-3 1.100000+1 1.054000-2 1.200000+1 1.166000-2 1.300000+1 1.272000-2 1.400000+1 1.373000-2 1.500000+1 1.468000-2 1.600000+1 1.560000-2 1.800000+1 1.730000-2 2.000000+1 1.885000-2 2.200000+1 2.029000-2 2.400000+1 2.161000-2 2.600000+1 2.284000-2 2.800000+1 2.399000-2 3.000000+1 2.506000-2 4.000000+1 2.958000-2 5.000000+1 3.309000-2 6.000000+1 3.594000-2 8.000000+1 4.036000-2 1.000000+2 4.368000-2 1.500000+2 4.942000-2 2.000000+2 5.316000-2 3.000000+2 5.791000-2 4.000000+2 6.084000-2 5.000000+2 6.286000-2 6.000000+2 6.436000-2 8.000000+2 6.645000-2 1.000000+3 6.784000-2 1.500000+3 6.993000-2 2.000000+3 7.111000-2 3.000000+3 7.241000-2 4.000000+3 7.317000-2 5.000000+3 7.364000-2 6.000000+3 7.396000-2 8.000000+3 7.440000-2 1.000000+4 7.468000-2 1.500000+4 7.505000-2 2.000000+4 7.527000-2 3.000000+4 7.548000-2 4.000000+4 7.562000-2 5.000000+4 7.570000-2 6.000000+4 7.575000-2 8.000000+4 7.580000-2 1.000000+5 7.585000-2 1 8000 7 8 1.599940+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 8000 7 9 1.599940+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 8000 7 0 1.599940+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 8.000000+0 1.000000+5 8.000000+0 5.000000+5 7.997400+0 6.250000+5 7.995640+0 7.187500+5 7.994550+0 7.890600+5 7.993810+0 8.945300+5 7.992700+0 1.000000+6 7.991200+0 1.500000+6 7.981400+0 1.750000+6 7.974160+0 2.000000+6 7.966900+0 2.500000+6 7.948400+0 3.000000+6 7.925900+0 4.000000+6 7.869200+0 5.000000+6 7.797400+0 6.000000+6 7.710830+0 7.000000+6 7.611700+0 8.000000+6 7.499070+0 8.500000+6 7.439220+0 9.000000+6 7.376700+0 1.000000+7 7.244100+0 1.125000+7 7.065310+0 1.250000+7 6.874800+0 1.375000+7 6.675530+0 1.500000+7 6.469800+0 1.625000+7 6.259530+0 1.750000+7 6.046600+0 1.875000+7 5.832230+0 1.937500+7 5.725500+0 2.000000+7 5.619700+0 2.125000+7 5.409030+0 2.312500+7 5.100780+0 2.500000+7 4.804700+0 2.718800+7 4.476210+0 2.906300+7 4.211730+0 3.000000+7 4.085800+0 3.250000+7 3.769430+0 3.437500+7 3.552640+0 3.625000+7 3.353120+0 3.718800+7 3.259800+0 4.000000+7 3.003100+0 4.250000+7 2.802620+0 4.625000+7 2.545670+0 4.750000+7 2.470700+0 5.000000+7 2.335100+0 5.500000+7 2.113840+0 5.875000+7 1.982770+0 6.000000+7 1.944500+0 6.500000+7 1.814710+0 7.000000+7 1.713200+0 7.500000+7 1.632610+0 8.000000+7 1.566700+0 9.000000+7 1.462300+0 1.000000+8 1.376300+0 1.109400+8 1.289980+0 1.203100+8 1.218030+0 1.250000+8 1.182000+0 1.312500+8 1.133930+0 1.406300+8 1.063350+0 1.500000+8 9.961000-1 1.589800+8 9.351090-1 1.665000+8 8.856220-1 1.748800+8 8.314080-1 1.750000+8 8.306270-1 1.838500+8 7.739270-1 1.919300+8 7.226370-1 2.000000+8 6.720000-1 2.062500+8 6.334100-1 2.335900+8 4.881760-1 2.375000+8 4.714480-1 2.445300+8 4.440250-1 2.500000+8 4.249770-1 2.750000+8 3.556040-1 2.835900+8 3.347720-1 2.894500+8 3.208020-1 2.947300+8 3.082180-1 3.000000+8 2.956360-1 3.062500+8 2.806600-1 3.117200+8 2.677890-1 3.212900+8 2.463720-1 3.392300+8 2.118210-1 3.464100+8 2.003380-1 3.500000+8 1.951000-1 3.562500+8 1.868080-1 3.671900+8 1.740310-1 3.877000+8 1.530720-1 3.959000+8 1.450700-1 4.000000+8 1.410760-1 4.091800+8 1.320890-1 4.176000+8 1.239540-1 4.279000+8 1.143760-1 4.327100+8 1.100800-1 5.000000+8 6.547630-2 5.125000+8 6.020680-2 5.343800+8 5.249600-2 5.753900+8 4.126620-2 5.918000+8 3.751320-2 6.000000+8 3.574920-2 6.562500+8 2.579330-2 6.718800+8 2.377890-2 6.859400+8 2.223510-2 7.000000+8 2.093210-2 7.125000+8 1.995830-2 7.343800+8 1.853240-2 7.671900+8 1.669370-2 7.835900+8 1.580200-2 8.000000+8 1.488390-2 8.125000+8 1.415750-2 8.297100+8 1.314390-2 8.455000+8 1.222300-2 8.648200+8 1.113590-2 8.896000+8 9.839550-3 1.000000+9 5.716500-3 1.031300+9 4.989450-3 1.060500+9 4.432840-3 1.100900+9 3.808440-3 1.137900+9 3.348380-3 1.183200+9 2.891670-3 1.241300+9 2.432250-3 1.333700+9 1.889680-3 1.444600+9 1.427040-3 1.500000+9 1.250200-3 1.562500+9 1.078010-3 1.671900+9 8.377520-4 1.815400+9 6.111630-4 2.000000+9 4.190800-4 2.750000+9 1.200530-4 5.000000+9 1.138700-5 7.250000+9 2.647090-6 8.000000+9 1.800600-6 1.00000+10 7.537100-7 1.27030+10 2.982060-7 1.55700+10 1.363410-7 1.85560+10 6.976680-8 2.16210+10 3.905500-8 2.65200+10 1.809300-8 3.32650+10 7.763340-9 3.94540+10 4.128570-9 4.70230+10 2.167440-9 5.67350+10 1.094460-9 6.75510+10 5.83303-10 8.17480+10 2.95088-10 1.00000+11 1.44740-10 1.17140+11 8.32229-11 1.47470+11 3.75079-11 1.82930+11 1.79512-11 2.26780+11 8.68151-12 3.06680+11 3.17131-12 4.01990+11 1.30191-12 5.50790+11 4.68507-13 8.34870+11 1.24132-13 1.31280+12 2.99988-14 2.31100+12 5.25577-15 5.15000+12 4.68626-16 1.71130+13 1.35259-17 1.00000+14 7.82030-20 5.62340+14 4.78081-22 5.42470+15 5.38904-25 1.00000+17 7.99970-29 1 8000 7 0 1.599940+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.10000-12 1.000000+2 1.10000-10 1.000000+3 1.100000-8 1.000000+4 1.100000-6 1.000000+5 1.100000-4 5.000000+5 2.750000-3 6.250000+5 4.296875-3 7.187500+5 5.682617-3 7.890600+5 6.848773-3 8.945300+5 8.802023-3 1.000000+6 1.100000-2 1.500000+6 2.530000-2 1.750000+6 3.441520-2 2.000000+6 4.480000-2 2.500000+6 6.980000-2 3.000000+6 1.001000-1 4.000000+6 1.761000-1 5.000000+6 2.710000-1 6.000000+6 3.841910-1 7.000000+6 5.137000-1 8.000000+6 6.568110-1 8.500000+6 7.328590-1 9.000000+6 8.118000-1 1.000000+7 9.770000-1 1.125000+7 1.194080+0 1.250000+7 1.419900+0 1.375000+7 1.651210+0 1.500000+7 1.885000+0 1.625000+7 2.118480+0 1.750000+7 2.349700+0 1.875000+7 2.576840+0 1.937500+7 2.688710+0 2.000000+7 2.799000+0 2.125000+7 3.014080+0 2.312500+7 3.322920+0 2.500000+7 3.613500+0 2.718800+7 3.927910+0 2.906300+7 4.176130+0 3.000000+7 4.293000+0 3.250000+7 4.580310+0 3.437500+7 4.774320+0 3.625000+7 4.951080+0 3.718800+7 5.033340+0 4.000000+7 5.257000+0 4.250000+7 5.429000+0 4.625000+7 5.647990+0 4.750000+7 5.711810+0 5.000000+7 5.828000+0 5.500000+7 6.020960+0 5.875000+7 6.139280+0 6.000000+7 6.175000+0 6.500000+7 6.301780+0 7.000000+7 6.411000+0 7.500000+7 6.507880+0 8.000000+7 6.596000+0 9.000000+7 6.755000+0 1.000000+8 6.901000+0 1.109400+8 7.047320+0 1.203100+8 7.161580+0 1.250000+8 7.215900+0 1.312500+8 7.283300+0 1.406300+8 7.377340+0 1.500000+8 7.462000+0 1.589800+8 7.533340+0 1.665000+8 7.586660+0 1.748800+8 7.639770+0 1.750000+8 7.640450+0 1.838500+8 7.689840+0 1.919300+8 7.729440+0 2.000000+8 7.764200+0 2.062500+8 7.787300+0 2.335900+8 7.867040+0 2.375000+8 7.875420+0 2.445300+8 7.890010+0 2.500000+8 7.899900+0 2.750000+8 7.934000+0 2.835900+8 7.943210+0 2.894500+8 7.948220+0 2.947300+8 7.952650+0 3.000000+8 7.957000+0 3.062500+8 7.960700+0 3.117200+8 7.963880+0 3.212900+8 7.969320+0 3.392300+8 7.976770+0 3.464100+8 7.979400+0 3.500000+8 7.980700+0 3.562500+8 7.982170+0 3.671900+8 7.984680+0 3.877000+8 7.989170+0 3.959000+8 7.990400+0 4.000000+8 7.991000+0 4.091800+8 7.991770+0 4.176000+8 7.992470+0 4.279000+8 7.993300+0 4.327100+8 7.993680+0 5.000000+8 7.997700+0 5.125000+8 7.997920+0 5.343800+8 7.998280+0 5.753900+8 7.998930+0 5.918000+8 7.999180+0 6.000000+8 7.999300+0 6.562500+8 7.999590+0 6.718800+8 7.999670+0 6.859400+8 7.999730+0 7.000000+8 7.999800+0 7.125000+8 7.999830+0 7.343800+8 7.999870+0 7.671900+8 7.999940+0 7.835900+8 7.999970+0 8.000000+8 8.000000+0 8.125000+8 8.000000+0 8.297100+8 8.000000+0 8.455000+8 8.000000+0 8.648200+8 8.000000+0 8.896000+8 8.000000+0 1.000000+9 8.000000+0 1.031300+9 8.000000+0 1.060500+9 8.000000+0 1.100900+9 8.000000+0 1.137900+9 8.000000+0 1.183200+9 8.000000+0 1.241300+9 8.000000+0 1.333700+9 8.000000+0 1.444600+9 8.000000+0 1.500000+9 8.000000+0 1.562500+9 8.000000+0 1.671900+9 8.000000+0 1.815400+9 8.000000+0 2.000000+9 8.000000+0 2.750000+9 8.000000+0 5.000000+9 8.000000+0 7.250000+9 8.000000+0 8.000000+9 8.000000+0 1.00000+10 8.000000+0 1.27030+10 8.000000+0 1.55700+10 8.000000+0 1.85560+10 8.000000+0 2.16210+10 8.000000+0 2.65200+10 8.000000+0 3.32650+10 8.000000+0 3.94540+10 8.000000+0 4.70230+10 8.000000+0 5.67350+10 8.000000+0 6.75510+10 8.000000+0 8.17480+10 8.000000+0 1.00000+11 8.000000+0 1.17140+11 8.000000+0 1.47470+11 8.000000+0 1.82930+11 8.000000+0 2.26780+11 8.000000+0 3.06680+11 8.000000+0 4.01990+11 8.000000+0 5.50790+11 8.000000+0 8.34870+11 8.000000+0 1.31280+12 8.000000+0 2.31100+12 8.000000+0 5.15000+12 8.000000+0 1.71130+13 8.000000+0 1.00000+14 8.000000+0 5.62340+14 8.000000+0 5.42470+15 8.000000+0 1.00000+17 8.000000+0 1 8000 7 0 1.599940+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.000000-6 0.0 9.030040-6 0.0 9.871915-6 0.0 9.913590-6 3.647675-1 9.920512-6 4.548976-1 9.944811-6 9.114302-1 9.962392-6 1.371495+0 9.969109-6 1.566802+0 9.993408-6 2.492617+0 1.002074-5 3.836096+0 1.006630-5 6.324958+0 1.009497-5 7.518138+0 1.011883-5 8.044921+0 1.014234-5 8.019328+0 1.016849-5 7.345650+0 1.019501-5 6.157371+0 1.024702-5 3.404925+0 1.026069-5 2.726722+0 1.028499-5 1.756719+0 1.030401-5 1.188259+0 1.030929-5 1.051316+0 1.032841-5 6.687701-1 1.035281-5 2.659929-1 1.035788-5 1.966906-1 1.037721-5 1.112518-1 1.040161-5 0.0 1.120256-5 0.0 1.120403-5 3.034397-8 1.124560-5 1.741402-6 1.125918-5 2.592195-6 1.128676-5 5.050309-6 1.130096-5 6.796208-6 1.131434-5 8.650672-6 1.134043-5 1.340400-5 1.136949-5 2.011349-5 1.142465-5 3.434888-5 1.145222-5 4.000904-5 1.147980-5 4.317761-5 1.150738-5 4.318605-5 1.153495-5 4.004452-5 1.156253-5 3.443387-5 1.161769-5 2.032747-5 1.164526-5 1.396215-5 1.167132-5 9.143317-6 1.168848-5 6.703493-6 1.170042-5 5.269208-6 1.171616-5 3.787768-6 1.174384-5 1.646266-6 1.175404-5 9.918710-7 1.175557-5 9.266297-7 1.179920-5 0.0 1.217044-5 0.0 1.221202-5 5.279601-2 1.223035-5 8.735175-2 1.226031-5 1.686918-1 1.227213-5 2.134545-1 1.229026-5 2.897318-1 1.230219-5 3.537247-1 1.232022-5 4.602223-1 1.232874-5 5.187104-1 1.237032-5 9.643444-1 1.240208-5 1.386233+0 1.245907-5 2.239788+0 1.252991-5 3.352253+0 1.257460-5 3.896887+0 1.260895-5 4.095368+0 1.263849-5 4.067634+0 1.266718-5 3.836573+0 1.271124-5 3.149548+0 1.278393-5 1.648438+0 1.281617-5 1.086419+0 1.284462-5 7.038271-1 1.286186-5 5.311872-1 1.287659-5 4.020682-1 1.289091-5 3.064812-1 1.291838-5 1.529892-1 1.293566-5 7.880019-2 1.295337-5 5.905671-2 1.297526-5 3.885931-2 1.297928-5 4.221591-2 1.300824-5 1.127030-1 1.301798-5 1.405397-1 1.304018-5 2.230736-1 1.307212-5 3.891640-1 1.310278-5 6.117389-1 1.314064-5 9.802854-1 1.321023-5 1.765498+0 1.325237-5 2.138018+0 1.327324-5 2.249662+0 1.329940-5 2.316529+0 1.334149-5 2.212001+0 1.342380-5 1.651390+0 1.344010-5 1.542713+0 1.347248-5 1.417588+0 1.350262-5 1.379102+0 1.353593-5 1.409235+0 1.364575-5 1.673066+0 1.374165-5 1.728463+0 1.399140-5 1.753861+0 1.417567-5 1.797126+0 1.467821-5 1.971584+0 1.471979-5 2.321804+0 1.475047-5 3.077042+0 1.479225-5 4.356007+0 1.482848-5 6.110993+0 1.486924-5 9.035071+0 1.490547-5 1.235668+1 1.497341-5 1.943160+1 1.501296-5 2.278052+1 1.505194-5 2.457941+1 1.508796-5 2.457025+1 1.512577-5 2.277004+1 1.516533-5 1.939731+1 1.524287-5 1.152579+1 1.526325-5 9.594199+0 1.529949-5 6.864555+0 1.533572-5 4.915332+0 1.537195-5 3.627943+0 1.540079-5 2.912907+0 1.544441-5 2.183588+0 1.792593-5 2.730341+0 2.153683-5 3.272284+0 2.603548-5 3.718997+0 2.630667-5 3.969060+0 2.655492-5 4.225191+0 2.676928-5 4.067962+0 2.700856-5 3.820427+0 2.735675-5 3.776262+0 2.805073-5 4.019357+0 2.881484-5 4.024494+0 3.564425-5 4.380215+0 4.230412-5 4.455896+0 5.300000-5 4.227580+0 8.709636-5 2.889248+0 1.048071-4 2.361459+0 1.256550-4 1.908191+0 1.441300-4 1.610931+0 1.671572-4 1.332687+0 1.915106-4 1.113103+0 2.212356-4 9.147219-1 2.549889-4 7.500344-1 2.944638-4 6.108944-1 3.398782-4 4.962323-1 3.896992-4 4.059837-1 4.474300-4 3.306242-1 5.105378-4 2.708106-1 5.105788-4 2.740705-1 5.130922-4 8.732496-1 5.143489-4 1.370234+0 5.156057-4 2.123075+0 5.170195-4 3.307830+0 5.206442-4 6.981337+0 5.220452-4 7.885140+0 5.232741-4 8.165489+0 5.245725-4 7.834500+0 5.258788-4 6.974237+0 5.293272-4 3.989878+0 5.306552-4 3.215501+0 5.315235-4 2.921156+0 5.321966-4 2.766188+0 5.334734-4 2.711535+0 5.358438-4 2.904773+0 5.378733-4 3.388036+0 5.402099-4 3.728811+0 5.431345-4 3.900995+0 5.694690-4 3.891795+0 6.179347-4 3.596599+0 6.928273-4 3.030620+0 8.055360-4 2.442895+0 9.303940-4 1.953860+0 1.060398-3 1.586710+0 1.206164-3 1.281081+0 1.349467-3 1.059958+0 1.493009-3 8.894249-1 1.678049-3 7.238005-1 1.862087-3 6.006655-1 2.080295-3 4.904074-1 2.298288-3 4.080999-1 2.542344-3 3.375656-1 2.879884-3 2.663399-1 3.162671-3 2.224881-1 3.538690-3 1.786414-1 3.913615-3 1.465288-1 4.328457-3 1.198873-1 4.746541-3 9.963461-2 5.288953-3 8.000065-2 5.886839-3 6.424745-2 6.455526-3 5.310632-2 7.058635-3 4.411742-2 7.732507-3 3.644421-2 8.418358-3 3.049598-2 9.178448-3 2.538492-2 1.008604-2 2.075816-2 1.123566-2 1.646593-2 1.239710-2 1.331310-2 1.366508-2 1.077503-2 1.489171-2 8.927808-3 1.652464-2 7.108381-3 1.836290-2 5.625517-3 2.019061-2 4.557365-3 2.238518-2 3.622203-3 2.442443-2 2.975822-3 2.712912-2 2.348998-3 3.015609-2 1.850107-3 3.271638-2 1.537041-3 3.628850-2 1.213912-3 3.989386-2 9.784065-4 4.411413-2 7.773838-4 4.883712-2 6.155885-4 5.365991-2 4.955611-4 5.831018-2 4.094422-4 6.435419-2 3.262757-4 6.994792-2 2.694790-4 7.622025-2 2.210822-4 8.249623-2 1.842509-4 8.986697-2 1.513466-4 9.832994-2 1.230327-4 1.087512-1 9.755760-5 1.201724-1 7.761745-5 1.329689-1 6.161108-5 1.454418-1 5.025629-5 1.587526-1 4.128939-5 1.737313-1 3.374406-5 1.923801-1 2.695238-5 2.109723-1 2.202036-5 2.340367-1 1.760703-5 2.540116-1 1.480468-5 2.754229-1 1.250024-5 2.993987-1 1.053618-5 3.254929-1 8.911559-6 3.575927-1 7.408565-6 3.946844-1 6.140899-6 4.431829-1 4.972607-6 4.897788-1 4.179782-6 5.370318-1 3.587875-6 5.888437-1 3.102977-6 6.685844-1 2.571445-6 7.651560-1 2.146103-6 8.511380-1 1.882519-6 9.885531-1 1.595739-6 1.173413+0 1.347329-6 1.410753+0 1.126289-6 1.696098+0 9.415118-7 2.039158+0 7.870492-7 2.451607+0 6.579274-7 2.947480+0 5.499891-7 3.543651+0 4.597589-7 4.260405+0 3.843317-7 5.122134+0 3.212790-7 6.158159+0 2.685706-7 7.403736+0 2.245094-7 8.901248+0 1.876768-7 9.760024+0 1.715927-7 1.000000+1 3.311053-7 1 8000 7 0 1.599940+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-8.001506+0 3.000000-6-8.012308+0 8.367019-6-7.916407+0 9.300337-6-7.564924+0 9.624912-6-7.096145+0 9.774918-6-6.537786+0 9.847928-6-5.957373+0 9.913590-6-4.869527+0 9.977462-6-3.603705+0 1.000176-5-3.323860+0 1.002074-5-3.314864+0 1.003960-5-3.549608+0 1.005504-5-3.935804+0 1.006630-5-4.365669+0 1.008946-5-5.532248+0 1.011603-5-7.317290+0 1.013555-5-8.657088+0 1.015816-5-7.093400+0 1.017512-5-6.047526+0 1.019501-5-5.102592+0 1.021214-5-4.582685+0 1.023298-5-4.243174+0 1.025727-5-4.213981+0 1.028499-5-4.557919+0 1.037721-5-6.366655+0 1.043542-5-7.130654+0 1.055744-5-7.862161+0 1.085553-5-8.617956+0 1.100441-5-8.846014+0 1.198003-5-7.992291+0 1.217044-5-7.500660+0 1.232874-5-6.547298+0 1.240208-5-6.190970+0 1.246793-5-6.292335+0 1.252562-5-6.796498+0 1.257460-5-7.623082+0 1.265211-5-9.384223+0 1.271124-5-8.303820+0 1.276079-5-7.967500+0 1.281617-5-8.199094+0 1.293841-5-9.551055+0 1.308266-5-8.240518+0 1.316361-5-7.909104+0 1.323330-5-8.185550+0 1.336717-5-9.508473+0 1.344010-5-9.647058+0 1.359202-5-9.340605+0 1.391741-5-1.031328+1 1.410943-5-1.125953+1 1.420544-5-1.108160+1 1.434102-5-9.805232+0 1.456298-5-7.117860+0 1.464022-5-5.779034+0 1.467287-5-4.967640+0 1.471524-5-3.543774+0 1.473034-5-2.896155+0 1.478208-5-1.036619+0 1.478660-5-8.464150-1 1.479225-5-5.841929-1 1.482848-5 8.014012-1 1.483301-5 1.001573+0 1.484094-5 1.260337+0 1.486924-5 2.054233+0 1.487717-5 2.192672+0 1.488906-5 2.296304+0 1.490547-5 2.365517+0 1.491397-5 2.289706+0 1.492140-5 2.158986+0 1.493359-5 1.832467+0 1.494354-5 1.465519+0 1.495101-5 1.128993+0 1.495661-5 8.394699-1 1.496081-5 5.993878-1 1.496711-5 1.962032-1 1.497026-5-3.005052-2 1.499152-5-1.795705+0 1.499945-5-2.528870+0 1.500836-5-3.494808+0 1.501296-5-4.099000+0 1.504066-5-7.357171+0 1.505725-5-9.728009+0 1.506026-5-1.011252+1 1.507870-5-7.757037+0 1.508796-5-6.316683+0 1.511833-5-2.484093+0 1.512166-5-2.023363+0 1.512577-5-1.534805+0 1.512937-5-1.138455+0 1.513567-5-4.891542-1 1.515683-5 1.562779+0 1.516121-5 1.943167+0 1.516533-5 2.263175+0 1.517304-5 2.796592+0 1.518569-5 3.523030+0 1.520377-5 4.290906+0 1.522266-5 4.764751+0 1.524287-5 4.900533+0 1.525816-5 4.825924+0 1.529496-5 3.995177+0 1.532853-5 2.796212+0 1.533572-5 2.485695+0 1.537195-5 1.149279+0 1.540079-5 1.061604-1 1.540624-5-9.603708-2 1.543487-5-1.024212+0 1.543964-5-1.192110+0 1.545334-5-1.730412+0 1.547118-5-2.221851+0 1.549788-5-2.791904+0 1.553337-5-3.381820+0 1.558635-5-4.049376+0 1.567398-5-4.829582+0 1.581250-5-5.627292+0 1.601627-5-6.328199+0 1.634605-5-6.945386+0 1.702903-5-7.492235+0 1.853152-5-7.775108+0 2.342750-5-7.417911+0 2.590743-5-7.283283+0 2.637048-5-7.346022+0 2.681713-5-6.742160+0 2.778428-5-6.980353+0 2.846803-5-6.791660+0 4.230412-5-4.907218+0 5.000000-5-4.051973+0 5.851084-5-3.323414+0 6.726590-5-2.787465+0 7.651560-5-2.397840+0 8.709636-5-2.102732+0 9.942597-5-1.891171+0 1.134703-4-1.750810+0 1.369908-4-1.641763+0 1.742967-4-1.611715+0 2.322820-4-1.696342+0 3.102582-4-1.930077+0 3.730065-4-2.234517+0 4.171631-4-2.577415+0 4.474300-4-2.949504+0 4.695441-4-3.382135+0 4.766499-4-3.577093+0 4.935220-4-3.511130+0 5.010187-4-3.328683+0 5.058989-4-3.031076+0 5.084559-4-2.721891+0 5.099614-4-2.411436+0 5.105788-4-2.188890+0 5.114489-4-1.894458+0 5.129351-4-1.468593+0 5.145060-4-8.966067-1 5.156057-4-5.729868-1 5.157627-4-5.197229-1 5.160377-4-4.624305-1 5.170195-4-3.415614-1 5.172944-4-3.444991-1 5.175006-4-3.624472-1 5.178098-4-4.088179-1 5.182788-4-5.104539-1 5.185511-4-6.015437-1 5.187573-4-6.863624-1 5.190666-4-8.391107-1 5.193758-4-1.030934+0 5.201024-4-1.571360+0 5.205828-4-2.028012+0 5.216835-4-3.286742+0 5.230427-4-5.157079+0 5.232741-4-4.811760+0 5.248423-4-2.984455+0 5.258788-4-2.051569+0 5.264625-4-1.677571+0 5.270560-4-1.414995+0 5.275275-4-1.274225+0 5.279126-4-1.200142+0 5.284225-4-1.159167+0 5.289053-4-1.188103+0 5.294672-4-1.324827+0 5.306552-4-1.735988+0 5.326709-4-2.640082+0 5.337894-4-3.062323+0 5.363487-4-3.709308+0 5.378733-4-3.799806+0 5.419902-4-3.521940+0 5.478272-4-3.142085+0 5.577958-4-2.759438+0 5.795000-4-2.150819+0 5.984470-4-1.721673+0 6.179347-4-1.375515+0 6.353239-4-1.131319+0 6.519273-4-9.488100-1 6.722023-4-7.677336-1 6.928273-4-6.190386-1 7.231363-4-4.380345-1 7.587537-4-2.671477-1 7.820910-4-1.716482-1 7.949155-4-1.244395-1 8.178252-4-5.071634-2 8.413951-4 1.438667-2 8.460533-4 2.512982-2 8.622337-4 6.377969-2 8.891791-4 1.184431-1 9.123775-4 1.575272-1 9.394987-4 1.968160-1 9.671115-4 2.313947-1 1.037392-3 2.985456-1 1.114034-3 3.443346-1 1.186049-3 3.710525-1 1.300845-3 3.897651-1 1.447261-3 3.929332-1 1.791122-3 3.591564-1 2.542344-3 2.641113-1 3.047665-3 2.147345-1 3.657626-3 1.704343-1 4.328457-3 1.354277-1 5.013887-3 1.094759-1 5.751165-3 8.895440-2 6.664597-3 7.045727-2 7.492705-3 5.815989-2 8.418358-3 4.775602-2 9.459263-3 3.893813-2 1.072859-2 3.095467-2 1.214361-2 2.442150-2 1.366508-2 1.924950-2 1.523697-2 1.528947-2 1.679283-2 1.228961-2 1.836290-2 9.933912-3 2.019061-2 7.784865-3 2.186013-2 6.229313-3 2.367858-2 4.863826-3 2.570396-2 3.641488-3 2.787854-2 2.589870-3 2.951209-2 1.937360-3 3.143631-2 1.285673-3 3.271638-2 9.085765-4 3.417328-2 5.265326-4 3.478011-2 3.797714-4 3.557661-2 1.983273-4 3.628850-2 4.487864-5 3.720418-2-1.395426-4 3.798831-2-2.883693-4 3.888100-2-4.473696-4 4.047930-2-7.082771-4 4.304133-2-1.070611-3 4.662307-2-1.487201-3 5.119328-2-1.904081-3 5.831018-2-2.401874-3 6.782953-2-2.845302-3 8.249623-2-3.251884-3 1.063313-1-3.589549-3 1.509211-1-3.846884-3 2.754229-1-4.024251-3 8.511380-1-4.092429-3 2.567148+0-4.099524-3 7.752663+0-4.100304-3 1.000000+1-4.100212-3 1 9000 7 0 1.899840+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.092277-6 1.078540-6 4.323245-6 1.145948-6 5.808916-6 1.217570-6 7.549040-6 1.293668-6 9.548699-6 1.374523-6 1.180582-5 1.460430-6 1.430905-5 1.536000-6 1.674623-5 1.648689-6 2.414239-5 1.751732-6 3.188328-5 1.861215-6 4.084853-5 1.977541-6 5.105314-5 2.168789-6 6.937560-5 2.304000-6 8.370184-5 2.452863-6 1.110957-4 2.608562-6 1.427794-4 2.774145-6 1.784711-4 2.880000-6 2.032396-4 3.042433-6 2.603203-4 3.235556-6 3.343693-4 3.336667-6 3.747143-4 3.440938-6 4.171675-4 3.600000-6 4.848992-4 3.773712-6 5.873236-4 3.891640-6 6.602333-4 4.050000-6 7.628051-4 4.268001-6 9.491226-4 4.401376-6 1.068891-3 4.556250-6 1.214094-3 4.680761-6 1.359360-3 4.827034-6 1.537673-3 4.977879-6 1.723646-3 5.133438-6 1.924674-3 5.293858-6 2.181271-3 5.459291-6 2.454159-3 5.629894-6 2.733577-3 5.766504-6 2.964409-3 5.987260-6 3.437401-3 6.174362-6 3.840435-3 6.487317-6 4.499065-3 6.736745-6 5.179234-3 6.912849-6 5.647403-3 7.083450-6 6.070447-3 7.298232-6 6.573374-3 7.408824-6 6.883469-3 7.563926-6 7.310440-3 7.754371-6 7.794416-3 7.859740-6 8.089506-3 8.000750-6 8.464308-3 8.239019-6 9.002601-3 8.397889-6 9.394853-3 8.522082-6 9.658262-3 8.642395-6 9.851951-3 8.871858-6 1.015459-2 8.981239-6 1.024964-2 9.087203-6 1.026543-2 9.292508-6 1.016796-2 9.484981-6 9.913692-3 9.669926-6 9.404879-3 9.834590-6 8.789602-3 9.993183-6 7.961545-3 1.008856-5 7.361335-3 1.014186-5 7.001416-3 1.028125-5 5.955194-3 1.041193-5 4.822633-3 1.048102-5 4.188351-3 1.053444-5 3.692419-3 1.064929-5 2.622184-3 1.075696-5 1.656539-3 1.082738-5 1.099754-3 1.085791-5 8.899077-4 1.095254-5 4.129871-4 1.104127-5 3.078772-4 1.112444-5 6.774231-4 1.116947-5 1.144975-3 1.120242-5 1.639209-3 1.127552-5 3.313026-3 1.134406-5 5.824516-3 1.140831-5 9.307833-3 1.146854-5 1.390218-2 1.152501-5 1.975410-2 1.157796-5 2.702060-2 1.162759-5 3.586628-2 1.167412-5 4.645794-2 1.175864-5 7.355235-2 1.183292-5 1.097158-1 1.186662-5 1.316850-1 1.189821-5 1.565286-1 1.192783-5 1.844726-1 1.195559-5 2.157567-1 1.198162-5 2.506391-1 1.200603-5 2.894051-1 1.202890-5 3.323750-1 1.205035-5 3.799085-1 1.207046-5 4.324034-1 1.208931-5 4.902843-1 1.212466-5 6.289724-1 1.215558-5 7.958404-1 1.218265-5 9.926670-1 1.220632-5 1.218913+0 1.222704-5 1.471555+0 1.224517-5 1.745521+0 1.226104-5 2.034451+0 1.228800-5 2.654923+0 1.234854-5 4.856375+0 1.237398-5 6.217155+0 1.238112-5 6.653512+0 1.240253-5 8.115573+0 1.241776-5 9.299335+0 1.243298-5 1.060441+1 1.244352-5 1.157763+1 1.246724-5 1.396749+1 1.249389-5 1.693750+1 1.250435-5 1.816855+1 1.252434-5 2.058199+1 1.253481-5 2.186215+1 1.254480-5 2.308213+1 1.255860-5 2.474536+1 1.257198-5 2.631119+1 1.258701-5 2.798167+1 1.259956-5 2.927980+1 1.261267-5 3.051691+1 1.263092-5 3.199404+1 1.264615-5 3.297197+1 1.266233-5 3.372553+1 1.267708-5 3.413640+1 1.268472-5 3.424151+1 1.270064-5 3.422008+1 1.271085-5 3.403561+1 1.273846-5 3.289294+1 1.275208-5 3.200677+1 1.276930-5 3.061771+1 1.278109-5 2.951690+1 1.279420-5 2.817103+1 1.280263-5 2.724918+1 1.281488-5 2.584506+1 1.282661-5 2.444802+1 1.284168-5 2.260253+1 1.285491-5 2.096374+1 1.285931-5 2.041739+1 1.287454-5 1.854409+1 1.288977-5 1.671427+1 1.290294-5 1.518505+1 1.292022-5 1.327826+1 1.293357-5 1.189463+1 1.294123-5 1.113974+1 1.295845-5 9.550261+0 1.296420-5 9.054899+0 1.298112-5 7.696601+0 1.299865-5 6.448850+0 1.301540-5 5.403285+0 1.302545-5 4.841662+0 1.304842-5 3.730421+0 1.306556-5 3.044645+0 1.308423-5 2.419977+0 1.309646-5 2.073016+0 1.310850-5 1.774161+0 1.312034-5 1.517300+0 1.313200-5 1.296948+0 1.314348-5 1.108229+0 1.315478-5 9.468357-1 1.316591-5 8.089878-1 1.318781-5 5.896844-1 1.320902-5 4.311307-1 1.324948-5 2.353162-1 1.326877-5 1.773399-1 1.328746-5 1.367425-1 1.330556-5 1.089397-1 1.332309-5 9.060945-2 1.334008-5 7.933628-2 1.335654-5 7.335490-2 1.338842-5 7.248316-2 1.341831-5 8.125108-2 1.344634-5 9.558676-2 1.349724-5 1.323468-1 1.352033-5 1.524098-1 1.354198-5 1.727086-1 1.356227-5 1.928637-1 1.360032-5 2.331402-1 1.363362-5 2.706285-1 1.368824-5 3.358532-1 1.374959-5 4.135112-1 1.382278-5 5.099413-1 1.386845-5 5.698386-1 1.390258-5 6.126650-1 1.393989-5 6.556132-1 1.397085-5 6.866476-1 1.400674-5 7.156488-1 1.404282-5 7.358138-1 1.405140-5 7.391795-1 1.407713-5 7.459232-1 1.414575-5 7.407618-1 1.418007-5 7.276160-1 1.421438-5 7.093681-1 1.424869-5 6.874545-1 1.428300-5 6.630587-1 1.431731-5 6.370328-1 1.438593-5 5.819557-1 1.441843-5 5.548035-1 1.444875-5 5.288552-1 1.448887-5 4.935121-1 1.452318-5 4.622551-1 1.455749-5 4.299410-1 1.459180-5 3.965171-1 1.462611-5 3.620413-1 1.465561-5 3.317569-1 1.468142-5 3.050636-1 1.470400-5 2.818976-1 1.472376-5 2.621133-1 1.475618-5 2.317208-1 1.478266-5 2.102473-1 1.480542-5 1.956072-1 1.481741-5 1.898053-1 1.482858-5 1.858494-1 1.484533-5 1.830005-1 1.485371-5 1.831688-1 1.486209-5 1.845330-1 1.487123-5 1.875123-1 1.489867-5 2.072146-1 1.491605-5 2.294538-1 1.492474-5 2.438306-1 1.493525-5 2.643760-1 1.494485-5 2.863525-1 1.497183-5 3.662429-1 1.501756-5 5.713739-1 1.504499-5 7.420566-1 1.505065-5 7.820089-1 1.509027-5 1.108331+0 1.510362-5 1.236653+0 1.511885-5 1.394131+0 1.513028-5 1.519687+0 1.514742-5 1.719328+0 1.516456-5 1.931422+0 1.517318-5 2.042292+0 1.519257-5 2.300484+0 1.519903-5 2.388805+0 1.521769-5 2.648291+0 1.522702-5 2.779683+0 1.523635-5 2.911481+0 1.525501-5 3.173992+0 1.526434-5 3.303472+0 1.527367-5 3.430895+0 1.530571-5 3.843239+0 1.531372-5 3.937860+0 1.533175-5 4.134320+0 1.534086-5 4.223714+0 1.536414-5 4.416645+0 1.538160-5 4.523649+0 1.538974-5 4.561459+0 1.541150-5 4.622518+0 1.542628-5 4.629694+0 1.543446-5 4.621597+0 1.545367-5 4.569179+0 1.546384-5 4.523030+0 1.550000-5 4.265155+0 1.551016-5 4.169794+0 1.553831-5 3.865712+0 1.555813-5 3.626776+0 1.557777-5 3.380136+0 1.559743-5 3.132211+0 1.564741-5 2.549887+0 1.566599-5 2.366353+0 1.568456-5 2.206130+0 1.570553-5 2.055496+0 1.572184-5 1.961188+0 1.573735-5 1.889963+0 1.575603-5 1.827303+0 1.576155-5 1.813479+0 1.579885-5 1.771914+0 1.581482-5 1.779616+0 1.582715-5 1.795062+0 1.583938-5 1.818110+0 1.585355-5 1.853913+0 1.586283-5 1.882410+0 1.589505-5 2.010390+0 1.592048-5 2.140758+0 1.595382-5 2.345893+0 1.602316-5 2.860722+0 1.603875-5 2.984209+0 1.605941-5 3.146880+0 1.608596-5 3.348958+0 1.611821-5 3.574019+0 1.613390-5 3.672645+0 1.617219-5 3.877522+0 1.619186-5 3.962346+0 1.622211-5 4.067105+0 1.624349-5 4.124681+0 1.626607-5 4.173656+0 1.631913-5 4.258320+0 1.640809-5 4.380058+0 1.660002-5 4.695667+0 1.669856-5 4.826566+0 1.685570-5 5.028194+0 1.696800-5 5.213338+0 1.709732-5 5.473845+0 1.742896-5 6.278804+0 1.753542-5 6.482764+0 1.766657-5 6.486537+0 1.767593-5 6.471929+0 1.787367-5 5.737009+0 1.797259-5 5.198335+0 1.807794-5 4.629291+0 1.812126-5 4.424343+0 1.815932-5 4.277643+0 1.819278-5 4.191767+0 1.820796-5 4.171851+0 1.823642-5 4.178139+0 1.826132-5 4.244411+0 1.828311-5 4.363345+0 1.830217-5 4.525719+0 1.831886-5 4.721478+0 1.833345-5 4.940672+0 1.834623-5 5.174137+0 1.835740-5 5.413917+0 1.837696-5 5.922988+0 1.839163-5 6.388486+0 1.840263-5 6.789950+0 1.841088-5 7.122785+0 1.842944-5 7.979324+0 1.844010-5 8.543301+0 1.847358-5 1.070073+1 1.852638-5 1.546546+1 1.857176-5 2.107147+1 1.859818-5 2.500671+1 1.861714-5 2.812670+1 1.864373-5 3.288642+1 1.865939-5 3.587574+1 1.868928-5 4.188862+1 1.870494-5 4.515458+1 1.872363-5 4.910721+1 1.874053-5 5.269409+1 1.876055-5 5.689464+1 1.877587-5 6.003234+1 1.879309-5 6.342773+1 1.880746-5 6.612564+1 1.882594-5 6.936176+1 1.884872-5 7.291130+1 1.886909-5 7.560159+1 1.888085-5 7.692041+1 1.889668-5 7.840594+1 1.891654-5 7.976910+1 1.893051-5 8.038199+1 1.895075-5 8.075047+1 1.896997-5 8.052963+1 1.898310-5 8.006424+1 1.900502-5 7.873760+1 1.901751-5 7.768953+1 1.903334-5 7.607488+1 1.905708-5 7.311144+1 1.906974-5 7.129324+1 1.909129-5 6.787898+1 1.910778-5 6.503677+1 1.912125-5 6.259916+1 1.913893-5 5.927910+1 1.916166-5 5.487951+1 1.918319-5 5.065691+1 1.919036-5 4.925062+1 1.921314-5 4.483119+1 1.923592-5 4.053454+1 1.925242-5 3.753408+1 1.928147-5 3.254191+1 1.932702-5 2.560965+1 1.936155-5 2.115798+1 1.944050-5 1.354865+1 1.946283-5 1.198396+1 1.948513-5 1.064414+1 1.950738-5 9.506842+0 1.952959-5 8.548966+0 1.955176-5 7.748210+0 1.957388-5 7.083542+0 1.959597-5 6.535547+0 1.961800-5 6.086633+0 1.964000-5 5.721114+0 1.968390-5 5.186604+0 1.972763-5 4.843952+0 1.977119-5 4.629320+0 1.981458-5 4.498789+0 1.985780-5 4.423146+0 1.990086-5 4.383432+0 1.994374-5 4.367524+0 1.998646-5 4.367690+0 2.007139-5 4.398049+0 2.018366-5 4.472594+0 2.040519-5 4.667162+0 2.080799-5 5.057641+0 2.112026-5 5.350931+0 2.157059-5 5.752851+0 2.200015-5 6.110031+0 2.254642-5 6.546846+0 2.305907-5 6.936279+0 2.376953-5 7.457203+0 2.502101-5 8.332413+0 2.667433-5 9.440711+0 2.818383-5 1.042128+1 3.019952-5 1.167333+1 3.201923-5 1.275083+1 3.224724-5 1.295179+1 3.238548-5 1.314883+1 3.251497-5 1.341592+1 3.262454-5 1.371183+1 3.292353-5 1.469762+1 3.300742-5 1.493994+1 3.310267-5 1.514716+1 3.318236-5 1.524954+1 3.327948-5 1.527932+1 3.338532-5 1.520255+1 3.353100-5 1.496916+1 3.371030-5 1.463567+1 3.382822-5 1.447535+1 3.395165-5 1.439881+1 3.405485-5 1.441258+1 3.419365-5 1.452872+1 3.444665-5 1.490320+1 3.468392-5 1.524792+1 3.492896-5 1.548333+1 3.570562-5 1.597865+1 3.781533-5 1.753531+1 3.947702-5 1.875169+1 4.212224-5 2.063596+1 4.462131-5 2.238071+1 4.731513-5 2.418954+1 4.915200-5 2.537114+1 5.218173-5 2.721013+1 5.454454-5 2.855806+1 5.821032-5 3.046884+1 6.095369-5 3.175358+1 6.400000-5 3.304034+1 6.741398-5 3.433093+1 7.120328-5 3.556190+1 7.676957-5 3.708590+1 8.269895-5 3.828655+1 8.861352-5 3.919750+1 9.522477-5 3.992749+1 1.048002-4 4.061959+1 1.136290-4 4.096240+1 1.233943-4 4.114250+1 1.427565-4 4.113104+1 1.703139-4 4.074005+1 1.966754-4 4.020559+1 2.277222-4 3.946657+1 2.620822-4 3.860646+1 3.010009-4 3.759438+1 3.398949-4 3.653111+1 3.713017-4 3.561990+1 4.009822-4 3.466963+1 4.219242-4 3.395920+1 4.401714-4 3.330111+1 4.567372-4 3.266198+1 4.807711-4 3.165235+1 5.026319-4 3.062040+1 5.206435-4 2.966521+1 5.368869-4 2.869637+1 5.511248-4 2.774443+1 5.651809-4 2.668377+1 5.748025-4 2.587078+1 5.858144-4 2.482591+1 5.956621-4 2.376897+1 6.038173-4 2.277816+1 6.113611-4 2.174688+1 6.177881-4 2.083304+1 6.225991-4 2.026566+1 6.326344-4 1.969455+1 6.382632-4 1.965697+1 6.429374-4 1.986629+1 6.457299-4 2.020701+1 6.488025-4 2.091226+1 6.503045-4 2.142735+1 6.519239-4 2.212754+1 6.539722-4 2.322661+1 6.585079-4 2.617829+1 6.603224-4 2.729526+1 6.619680-4 2.812120+1 6.635448-4 2.867347+1 6.647837-4 2.891807+1 6.660320-4 2.899239+1 6.671806-4 2.891657+1 6.685045-4 2.867714+1 6.701423-4 2.819353+1 6.717160-4 2.757261+1 6.735490-4 2.669159+1 6.755044-4 2.558892+1 6.774357-4 2.436601+1 6.814876-4 2.174605+1 6.829336-4 2.098369+1 6.840711-4 2.051646+1 6.850492-4 2.022849+1 6.859781-4 2.006243+1 6.870106-4 2.000599+1 6.876368-4 2.003753+1 6.881978-4 2.010691+1 6.892819-4 2.034533+1 6.898291-4 2.051417+1 6.909250-4 2.093848+1 6.925000-4 2.171204+1 6.972470-4 2.458856+1 6.986398-4 2.543749+1 7.007760-4 2.665903+1 7.021865-4 2.740022+1 7.068461-4 2.948775+1 7.092170-4 3.037777+1 7.122211-4 3.138894+1 7.178755-4 3.305173+1 7.241917-4 3.467248+1 7.319569-4 3.644679+1 7.379499-4 3.768648+1 7.480070-4 3.955890+1 7.532404-4 4.043444+1 7.599935-4 4.146978+1 7.676992-4 4.254211+1 7.748157-4 4.343575+1 7.820105-4 4.424909+1 7.896903-4 4.502485+1 7.975942-4 4.573177+1 8.091138-4 4.663184+1 8.279648-4 4.785019+1 8.473912-4 4.884553+1 8.831539-4 5.033936+1 9.093897-4 5.126318+1 9.536193-4 5.251147+1 9.957754-4 5.342803+1 1.035142-3 5.403436+1 1.093929-3 5.462160+1 1.155130-3 5.492676+1 1.243784-3 5.500297+1 1.383507-3 5.420142+1 1.573690-3 5.293025+1 1.627253-3 5.252127+1 1.863015-3 5.024844+1 1.945640-3 4.947684+1 2.213922-3 4.677342+1 2.571677-3 4.316214+1 2.851018-3 4.046070+1 3.098059-3 3.816167+1 3.334015-3 3.607829+1 3.562964-3 3.414882+1 3.792029-3 3.232276+1 4.158793-3 2.960371+1 4.570882-3 2.686687+1 5.051776-3 2.406133+1 5.629908-3 2.118324+1 6.237348-3 1.865287+1 7.187702-3 1.550822+1 8.458669-3 1.243512+1 1.075827-2 8.884963+0 1.544538-2 5.310942+0 1.891840-2 3.954996+0 2.179077-2 3.202047+0 2.479976-2 2.623025+0 2.833953-2 2.116839+0 3.499542-2 1.492589+0 3.879444-2 1.252972+0 4.671044-2 9.034569-1 5.443202-2 6.878066-1 6.601260-2 4.835614-1 8.266920-2 3.183390-1 1.050829-1 2.022727-1 1.351392-1 1.246890-1 1.825326-1 6.936410-2 2.709509-1 3.181466-2 4.954502-1 9.576724-3 1.546860+0 9.849588-4 4.671441+0 1.080267-4 1.410753+1 1.184523-5 4.260405+1 1.298808-6 1.286622+2 1.424115-7 3.885536+2 1.561511-8 1.258925+3 1.487466-9 3.981072+3 1.48747-10 1.258925+4 1.48747-11 3.981072+4 1.48747-12 1.000000+5 2.35747-13 1 9000 7 7 1.899840+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 9000 7 0 1.899840+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.155500-7 1.258900-6 3.416200-7 1.584900-6 5.414400-7 1.995300-6 8.581200-7 2.511900-6 1.360000-6 3.162300-6 2.155500-6 3.981100-6 3.416200-6 5.011900-6 5.414300-6 6.309600-6 8.581000-6 7.943300-6 1.360000-5 1.000000-5 2.155400-5 1.258900-5 3.416000-5 1.584900-5 5.413900-5 1.995300-5 8.580300-5 2.511900-5 1.359800-4 3.162300-5 2.155100-4 3.981100-5 3.415500-4 5.011900-5 5.412900-4 6.309600-5 8.578300-4 7.943300-5 1.359400-3 1.000000-4 2.154300-3 1.258900-4 3.413000-3 1.584900-4 5.403900-3 1.995300-4 8.556500-3 2.511900-4 1.353900-2 3.162300-4 2.141000-2 3.981100-4 3.381200-2 5.011900-4 5.328000-2 6.309600-4 8.372200-2 7.943300-4 1.309100-1 1.000000-3 2.032600-1 1.258900-3 3.121700-1 1.584900-3 4.719800-1 1.995300-3 6.985100-1 2.511900-3 1.004700+0 3.162300-3 1.395100+0 3.981100-3 1.859600+0 5.011900-3 2.370700+0 6.309600-3 2.883900+0 7.943300-3 3.351900+0 1.000000-2 3.746400+0 1.258900-2 4.066500+0 1.584900-2 4.326100+0 1.995300-2 4.535900+0 2.511900-2 4.694300+0 3.162300-2 4.788900+0 3.981100-2 4.818200+0 5.011900-2 4.778500+0 6.309600-2 4.684200+0 7.943300-2 4.538800+0 1.000000-1 4.353000+0 1.258900-1 4.135200+0 1.584900-1 3.894100+0 1.995300-1 3.638000+0 2.511900-1 3.374300+0 3.162300-1 3.109400+0 3.981100-1 2.848700+0 5.011900-1 2.595300+0 6.309600-1 2.351600+0 7.943300-1 2.119300+0 1.000000+0 1.899100+0 1.258900+0 1.691800+0 1.584900+0 1.498000+0 1.995300+0 1.318200+0 2.511900+0 1.152800+0 3.162300+0 1.002100+0 3.981100+0 8.659800-1 5.011900+0 7.442400-1 6.309600+0 6.363200-1 7.943300+0 5.414400-1 1.000000+1 4.586800-1 1.258900+1 3.870200-1 1.584900+1 3.253600-1 1.995300+1 2.726300-1 2.511900+1 2.277600-1 3.162300+1 1.897600-1 3.981100+1 1.577100-1 5.011900+1 1.307900-1 6.309600+1 1.082500-1 7.943300+1 8.942500-2 1.000000+2 7.375400-2 1.258900+2 6.073800-2 1.584900+2 4.994900-2 1.995300+2 4.102500-2 2.511900+2 3.365600-2 3.162300+2 2.758000-2 3.981100+2 2.257900-2 5.011900+2 1.846700-2 6.309600+2 1.509100-2 7.943300+2 1.232200-2 1.000000+3 1.005300-2 1.258900+3 8.196100-3 1.584900+3 6.677600-3 1.995300+3 5.437000-3 2.511900+3 4.424100-3 3.162300+3 3.597900-3 3.981100+3 2.924400-3 5.011900+3 2.375700-3 6.309600+3 1.929000-3 7.943300+3 1.565500-3 1.000000+4 1.269900-3 1.258900+4 1.029700-3 1.584900+4 8.346100-4 1.995300+4 6.761900-4 2.511900+4 5.476300-4 3.162300+4 4.433500-4 3.981100+4 3.587900-4 5.011900+4 2.902600-4 6.309600+4 2.347500-4 7.943300+4 1.897900-4 1.000000+5 1.533900-4 1 9000 7 7 1.899840+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584205-4 1.995262-4 1.994172-4 2.511886-4 2.510160-4 3.162278-4 3.159542-4 3.981072-4 3.976740-4 5.011872-4 5.005014-4 6.309573-4 6.298719-4 7.943282-4 7.926116-4 1.000000-3 9.972879-4 1.258925-3 1.254637-3 1.584893-3 1.578158-3 1.995262-3 1.984688-3 2.511886-3 2.495343-3 3.162278-3 3.136511-3 3.981072-3 3.941127-3 5.011872-3 4.950268-3 6.309573-3 6.215086-3 7.943282-3 7.799082-3 1.000000-2 9.780473-3 1.258925-2 1.225476-2 1.584893-2 1.533774-2 1.995262-2 1.916913-2 2.511886-2 2.391711-2 3.162278-2 2.978764-2 3.981072-2 3.701807-2 5.011872-2 4.590342-2 6.309573-2 5.675390-2 7.943282-2 6.996776-2 1.000000-1 8.597124-2 1.258925-1 1.052758-1 1.584893-1 1.284532-1 1.995262-1 1.561754-1 2.511886-1 1.892100-1 3.162278-1 2.284469-1 3.981072-1 2.748867-1 5.011872-1 3.297256-1 6.309573-1 3.943201-1 7.943282-1 4.703462-1 1.000000+0 5.597987-1 1.258925+0 6.651662-1 1.584893+0 7.895034-1 1.995262+0 9.365727-1 2.511886+0 1.111094+0 3.162278+0 1.318791+0 3.981072+0 1.566677+0 5.011872+0 1.863427+0 6.309573+0 2.219572+0 7.943282+0 2.648031+0 1.000000+1 3.164602+0 1.258925+1 3.788607+0 1.584893+1 4.543723+0 1.995262+1 5.458862+0 2.511886+1 6.569578+0 3.162278+1 7.919523+0 3.981072+1 9.561964+0 5.011872+1 1.156272+1 6.309573+1 1.400233+1 7.943282+1 1.697992+1 1.000000+2 2.061727+1 1.258925+2 2.506453+1 1.584893+2 3.050615+1 1.995262+2 3.716932+1 2.511886+2 4.533446+1 3.162278+2 5.534701+1 3.981072+2 6.763123+1 5.011872+2 8.271472+1 6.309573+2 1.012441+2 7.943282+2 1.240202+2 1.000000+3 1.520295+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 9000 7 9 1.899840+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090665-8 7.943282-5 1.728482-8 1.000000-4 2.739249-8 1.258925-4 4.340613-8 1.584893-4 6.877603-8 1.995262-4 1.089827-7 2.511886-4 1.726584-7 3.162278-4 2.735325-7 3.981072-4 4.332037-7 5.011872-4 6.858631-7 6.309573-4 1.085431-6 7.943282-4 1.716632-6 1.000000-3 2.712118-6 1.258925-3 4.288266-6 1.584893-3 6.735185-6 1.995262-3 1.057449-5 2.511886-3 1.654302-5 3.162278-3 2.576663-5 3.981072-3 3.994421-5 5.011872-3 6.160401-5 6.309573-3 9.448708-5 7.943282-3 1.442004-4 1.000000-2 2.195267-4 1.258925-2 3.344939-4 1.584893-2 5.111923-4 1.995262-2 7.834953-4 2.511886-2 1.201752-3 3.162278-2 1.835132-3 3.981072-2 2.792649-3 5.011872-2 4.215306-3 6.309573-2 6.341837-3 7.943282-2 9.465068-3 1.000000-1 1.402876-2 1.258925-1 2.061672-2 1.584893-1 3.003607-2 1.995262-1 4.335081-2 2.511886-1 6.197864-2 3.162278-1 8.778091-2 3.981072-1 1.232205-1 5.011872-1 1.714617-1 6.309573-1 2.366372-1 7.943282-1 3.239821-1 1.000000+0 4.402013-1 1.258925+0 5.937593-1 1.584893+0 7.953898-1 1.995262+0 1.058690+0 2.511886+0 1.400792+0 3.162278+0 1.843486+0 3.981072+0 2.414394+0 5.011872+0 3.148446+0 6.309573+0 4.090001+0 7.943282+0 5.295251+0 1.000000+1 6.835398+0 1.258925+1 8.800647+0 1.584893+1 1.130521+1 1.995262+1 1.449376+1 2.511886+1 1.854929+1 3.162278+1 2.370325+1 3.981072+1 3.024875+1 5.011872+1 3.855601+1 6.309573+1 4.909341+1 7.943282+1 6.245291+1 1.000000+2 7.938273+1 1.258925+2 1.008280+2 1.584893+2 1.279832+2 1.995262+2 1.623569+2 2.511886+2 2.058542+2 3.162278+2 2.608808+2 3.981072+2 3.304759+2 5.011872+2 4.184725+2 6.309573+2 5.297132+2 7.943282+2 6.703081+2 1.000000+3 8.479705+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 9000 7 0 1.899840+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 1.698000-5 4.745229+6 1.705000-5 4.784006+6 1.705000-5 7.135606+6 1.720000-5 7.263826+6 1.737801-5 7.410678+6 1.760000-5 7.579451+6 1.778279-5 7.713787+6 1.810000-5 7.928540+6 1.830000-5 8.057618+6 1.870000-5 8.290678+6 1.890000-5 8.401165+6 1.930000-5 8.598686+6 1.949845-5 8.691332+6 2.000000-5 8.898443+6 2.018366-5 8.969238+6 2.075800-5 9.162637+6 2.089296-5 9.204440+6 2.162719-5 9.399511+6 2.270000-5 9.608727+6 2.371374-5 9.740909+6 2.500000-5 9.833875+6 2.511886-5 9.840214+6 2.650000-5 9.865391+6 2.660725-5 9.865645+6 2.818383-5 9.825296+6 3.000000-5 9.713591+6 3.019952-5 9.697358+6 3.198895-5 9.537239+6 3.243600-5 9.490046+6 3.427678-5 9.285958+6 3.467369-5 9.236760+6 3.593000-5 9.074948+6 3.593000-5 9.421884+6 3.650000-5 9.372755+6 3.672823-5 9.353080+6 3.720000-5 9.305779+6 3.730000-5 9.295635+6 3.801894-5 9.219266+6 3.880000-5 9.138150+6 3.935501-5 9.081131+6 3.981072-5 9.028797+6 4.000000-5 9.006874+6 4.073803-5 8.918351+6 4.180000-5 8.794139+6 4.229500-5 8.737122+6 4.265795-5 8.691315+6 4.300000-5 8.646585+6 4.415704-5 8.497716+6 4.518559-5 8.369414+6 4.570882-5 8.300213+6 4.731513-5 8.083811+6 4.800000-5 7.994493+6 4.897788-5 7.860674+6 4.900000-5 7.857592+6 5.080000-5 7.612426+6 5.128614-5 7.548279+6 5.188000-5 7.465703+6 5.308844-5 7.298395+6 5.432503-5 7.133052+6 5.500000-5 7.040663+6 5.559043-5 6.959438+6 5.754399-5 6.700563+6 5.821032-5 6.611654+6 6.095369-5 6.255610+6 6.165950-5 6.164084+6 6.400000-5 5.870764+6 6.456542-5 5.803040+6 6.531306-5 5.711359+6 6.760830-5 5.439456+6 6.839116-5 5.351026+6 6.918310-5 5.260278+6 7.161434-5 4.992481+6 7.244360-5 4.905635+6 7.328245-5 4.816864+6 7.585776-5 4.556037+6 7.673615-5 4.471704+6 7.800000-5 4.350768+6 8.035261-5 4.135844+6 8.128305-5 4.054908+6 8.317638-5 3.892971+6 8.511380-5 3.735441+6 8.709636-5 3.583335+6 8.912509-5 3.433234+6 9.015711-5 3.359710+6 9.332543-5 3.147006+6 9.549926-5 3.009699+6 9.660509-5 2.942614+6 1.011579-4 2.687195+6 1.035142-4 2.565712+6 1.096478-4 2.281177+6 1.109175-4 2.227369+6 1.122018-4 2.174337+6 1.190000-4 1.921423+6 1.216186-4 1.834948+6 1.230269-4 1.790091+6 1.288250-4 1.620793+6 1.364583-4 1.430533+6 1.400000-4 1.351997+6 1.513561-4 1.137504+6 1.531087-4 1.108709+6 1.659587-4 9.242456+5 1.720000-4 8.522600+5 1.840772-4 7.291887+5 1.905461-4 6.732918+5 1.927525-4 6.555720+5 2.065380-4 5.578149+5 2.089296-4 5.429211+5 2.162719-4 5.004416+5 2.317395-4 4.246747+5 2.426610-4 3.802407+5 2.600160-4 3.219029+5 2.722701-4 2.877447+5 2.900000-4 2.466517+5 2.951209-4 2.362405+5 3.162278-4 1.993074+5 3.235937-4 1.883162+5 3.467369-4 1.586116+5 3.600000-4 1.445279+5 3.758374-4 1.297811+5 4.073803-4 1.061236+5 4.365158-4 8.918752+4 4.677351-4 7.495729+4 4.731513-4 7.281835+4 4.954502-4 6.478884+4 5.248075-4 5.597290+4 5.432503-4 5.127594+4 5.559043-4 4.833519+4 5.956621-4 4.047508+4 6.095369-4 3.815384+4 6.309573-4 3.487833+4 6.760830-4 2.914393+4 6.839116-4 2.828547+4 6.883700-4 2.780494+4 6.883700-4 3.830189+5 6.904000-4 3.897060+5 6.925000-4 3.938000+5 6.947000-4 3.959922+5 6.985000-4 3.969950+5 7.040000-4 3.957563+5 7.161434-4 3.896091+5 7.244360-4 3.840538+5 7.300000-4 3.804076+5 7.413102-4 3.711652+5 7.500000-4 3.630992+5 7.650000-4 3.477762+5 7.762471-4 3.354493+5 7.852356-4 3.260251+5 8.317638-4 2.806236+5 8.413951-4 2.723316+5 8.810489-4 2.431509+5 9.015711-4 2.300477+5 9.660509-4 1.947986+5 9.772372-4 1.892575+5 1.035142-3 1.638289+5 1.122018-3 1.332518+5 1.202264-3 1.116321+5 1.216186-3 1.083865+5 1.258925-3 9.919891+4 1.318257-3 8.785510+4 1.396368-3 7.548306+4 1.412538-3 7.322593+4 1.428894-3 7.100213+4 1.513561-3 6.084869+4 1.548817-3 5.720622+4 1.659587-3 4.753588+4 1.757924-3 4.060323+4 1.798871-3 3.812218+4 1.927525-3 3.155224+4 1.949845-3 3.055979+4 2.089296-3 2.522421+4 2.113489-3 2.443029+4 2.238721-3 2.082032+4 2.290868-3 1.951007+4 2.454709-3 1.605156+4 2.483133-3 1.553795+4 2.691535-3 1.237467+4 2.851018-3 1.049063+4 2.917427-3 9.819930+3 3.126079-3 8.054412+3 3.198895-3 7.539148+3 3.311311-3 6.818393+3 3.388442-3 6.376579+3 3.672823-3 5.043863+3 3.758374-3 4.716846+3 3.801894-3 4.561371+3 3.890451-3 4.262002+3 4.365158-3 3.035384+3 4.415704-3 2.934026+3 4.570882-3 2.649804+3 5.188000-3 1.815479+3 5.248075-3 1.754088+3 5.432503-3 1.582096+3 5.500000-3 1.524789+3 6.237348-3 1.042651+3 6.531306-3 9.071460+2 6.683439-3 8.461487+2 7.000000-3 7.345276+2 7.498942-3 5.951176+2 8.035261-3 4.817718+2 8.317638-3 4.334722+2 8.709636-3 3.759486+2 9.120108-3 3.260597+2 1.011579-2 2.366423+2 1.035142-2 2.203728+2 1.109175-2 1.775877+2 1.122018-2 1.713128+2 1.303167-2 1.072905+2 1.333521-2 9.976548+1 1.396368-2 8.626148+1 1.445440-2 7.734227+1 1.659587-2 4.998324+1 1.757924-2 4.159972+1 1.778279-2 4.009918+1 2.018366-2 2.676869+1 2.137962-2 2.227676+1 2.238721-2 1.920784+1 2.540973-2 1.277500+1 2.754229-2 9.854886+0 2.851018-2 8.809670+0 3.758374-2 3.591251+0 3.801894-2 3.458579+0 4.731513-2 1.691063+0 5.011872-2 1.400839+0 5.248075-2 1.204956+0 5.308844-2 1.160411+0 6.095369-2 7.369650-1 6.760830-2 5.242937-1 7.498942-2 3.729957-1 8.222426-2 2.755904-1 9.015711-2 2.036222-1 9.772372-2 1.562488-1 1.047129-1 1.245197-1 1.059254-1 1.198978-1 1.071519-1 1.154618-1 1.148154-1 9.208681-2 1.244515-1 7.072688-2 1.318257-1 5.857584-2 1.364583-1 5.231177-2 1.428894-1 4.505962-2 1.513561-1 3.739153-2 1.621810-1 2.989208-2 1.659587-1 2.774280-2 1.678804-1 2.673856-2 1.698244-1 2.577132-2 1.840772-1 1.991264-2 1.905461-1 1.782893-2 1.972423-1 1.596328-2 2.018366-1 1.484162-2 2.065380-1 1.379941-2 2.113489-1 1.283039-2 2.290868-1 9.944145-3 2.317395-1 9.594013-3 2.344229-1 9.256212-3 2.570396-1 6.950469-3 2.630268-1 6.470079-3 2.691535-1 6.030396-3 2.818383-1 5.239415-3 2.851018-1 5.058447-3 2.985383-1 4.394952-3 3.054921-1 4.101670-3 3.090295-1 3.962604-3 3.162278-1 3.698453-3 3.349654-1 3.112575-3 3.388442-1 3.009119-3 3.427678-1 2.909105-3 3.507519-1 2.719161-3 3.672823-1 2.375672-3 3.715352-1 2.296806-3 3.801894-1 2.150058-3 3.890451-1 2.012863-3 3.981072-1 1.884421-3 4.120975-1 1.706963-3 4.216965-1 1.600564-3 4.265795-1 1.549948-3 4.315191-1 1.500932-3 4.518559-1 1.319890-3 4.623810-1 1.239656-3 4.677351-1 1.201442-3 4.954502-1 1.027333-3 5.069907-1 9.665692-4 5.128614-1 9.375952-4 5.432503-1 8.052448-4 5.495409-1 7.817877-4 5.559043-1 7.590141-4 5.623413-1 7.369423-4 5.956621-1 6.358449-4 6.095369-1 6.004469-4 6.165950-1 5.835240-4 6.456542-1 5.204695-4 6.606935-1 4.924251-4 6.760830-1 4.659387-4 6.998420-1 4.288563-4 7.161434-1 4.065482-4 7.413102-1 3.752972-4 7.585776-1 3.558094-4 7.762471-1 3.379245-4 8.222427-1 2.971216-4 8.317638-1 2.895724-4 8.413951-1 2.824505-4 8.609938-1 2.687552-4 8.912509-1 2.494474-4 9.120108-1 2.373524-4 9.225714-1 2.317321-4 9.660509-1 2.105932-4 1.000000+0 1.960145-4 1.011579+0 1.915197-4 1.074800+0 1.695267-4 1.096478+0 1.628502-4 1.135011+0 1.519169-4 1.203700+0 1.355204-4 1.216186+0 1.328291-4 1.258925+0 1.242045-4 1.303167+0 1.164796-4 1.318257+0 1.140129-4 1.380384+0 1.046579-4 1.412538+0 1.004589-4 1.445440+0 9.642847-5 1.500000+0 9.027970-5 1.566751+0 8.388880-5 1.640590+0 7.762071-5 1.737801+0 7.073810-5 1.819701+0 6.567410-5 1.840772+0 6.451238-5 1.949845+0 5.900480-5 2.065380+0 5.396748-5 2.213095+0 4.869162-5 2.344229+0 4.469129-5 2.511886+0 4.048817-5 2.660725+0 3.728914-5 2.884032+0 3.337432-5 3.054921+0 3.083228-5 3.349654+0 2.728175-5 3.548134+0 2.527341-5 3.935501+0 2.213335-5 4.216965+0 2.025984-5 4.677351+0 1.782258-5 5.011872+0 1.636290-5 5.623413+0 1.425833-5 6.165950+0 1.277130-5 7.079458+0 1.087674-5 7.673615+0 9.904202-6 8.912509+0 8.364686-6 9.772372+0 7.538745-6 1.174898+1 6.155517-6 1.288250+1 5.562211-6 1.300000+1 5.506980-6 1.603245+1 4.395461-6 1.717908+1 4.080814-6 1.737801+1 4.030656-6 1.757924+1 3.981116-6 2.290868+1 3.010183-6 2.454709+1 2.798468-6 2.483133+1 2.764692-6 3.630781+1 1.863957-6 3.890451+1 1.735029-6 3.935501+1 1.714425-6 6.606934+1 1.009444-6 7.161434+1 9.296053-7 7.244360+1 9.187273-7 1.318257+2 5.013460-7 1.428894+2 4.620907-7 1.445440+2 4.567395-7 2.630268+2 2.500786-7 2.851018+2 2.306016-7 2.884032+2 2.279458-7 2.089296+3 3.137806-8 2.290868+3 2.861343-8 4.518559+3 1.449373-8 4.570882+3 1.432760-8 1.000000+5 6.54798-10 1 9000 7 0 1.899840+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 1.698000-5 1.698000-5 1.705000-5 1.698000-5 1.705000-5 1.700307-5 3.593000-5 1.700331-5 3.593000-5 1.770024-5 4.300000-5 1.822669-5 5.308844-5 1.879943-5 8.511380-5 2.027450-5 1.122018-4 2.140437-5 1.364583-4 2.225962-5 1.659587-4 2.313310-5 2.089296-4 2.419429-5 2.600160-4 2.528903-5 2.951209-4 2.593709-5 3.467369-4 2.673767-5 4.073803-4 2.749820-5 4.954502-4 2.838341-5 5.956621-4 2.921109-5 6.883700-4 2.982718-5 6.883700-4 4.335323-5 7.300000-4 4.351323-5 1.318257-3 4.372740-5 3.890451-3 4.387281-5 6.095369-2 4.394169-5 1.000000+5 4.394522-5 1 9000 7 7 1.899840+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.698000-5 0.0 6.883700-4 0.0 6.883700-4 5.958675-6 6.947000-4 5.984709-6 7.300000-4 6.022718-6 7.852356-4 6.037694-6 1.412538-3 6.070093-6 4.570882-3 6.079972-6 1.011579+0 6.073099-6 1.000000+5 6.073051-6 1 9000 7 9 1.899840+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.698000-5 0.0 1.705000-5 7.000000-8 1.705000-5 4.693090-8 3.593000-5 1.892669-5 3.593000-5 1.822976-5 4.300000-5 2.477331-5 5.559043-5 3.666667-5 1.122018-4 9.079743-5 1.720000-4 1.487133-4 3.235937-4 2.971909-4 6.883700-4 6.585428-4 6.883700-4 6.390581-4 1.000000+5 1.000000+5 1 9000 7 0 1.899840+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 6.883700-4 3.552140+5 6.904000-4 3.621160+5 6.925000-4 3.664300+5 6.947000-4 3.688500+5 6.985000-4 3.702400+5 7.040000-4 3.695480+5 7.161434-4 3.645535+5 7.300000-4 3.565840+5 7.413102-4 3.482871+5 7.500000-4 3.409120+5 7.650000-4 3.267140+5 7.852356-4 3.063672+5 8.413951-4 2.559739+5 8.810489-4 2.286772+5 9.660509-4 1.834881+5 1.035142-3 1.544293+5 1.258925-3 9.366414+4 1.412538-3 6.917997+4 1.659587-3 4.494001+4 1.927525-3 2.984166+4 2.238721-3 1.969722+4 2.691535-3 1.170879+4 3.198895-3 7.134076+3 3.801894-3 4.316436+3 4.570882-3 2.507468+3 5.500000-3 1.442818+3 6.683439-3 8.006124+2 8.317638-3 4.101143+2 1.035142-2 2.084819+2 1.303167-2 1.014927+2 1.659587-2 4.727691+1 2.137962-2 2.106807+1 2.754229-2 9.319129+0 3.758374-2 3.395582+0 5.308844-2 1.097071+0 1.059254-1 1.133348-1 1.364583-1 4.944582-2 1.659587-1 2.622175-2 1.972423-1 1.508776-2 2.290868-1 9.398848-3 2.630268-1 6.115379-3 2.985383-1 4.154071-3 3.349654-1 2.941967-3 3.715352-1 2.170908-3 4.120975-1 1.613393-3 4.518559-1 1.247554-3 4.954502-1 9.710350-4 5.432503-1 7.611130-4 5.956621-1 6.009898-4 6.456542-1 4.919359-4 6.998420-1 4.053460-4 7.585776-1 3.363163-4 8.317638-1 2.737180-4 9.120108-1 2.243488-4 1.000000+0 1.852700-4 1.135011+0 1.435909-4 1.258925+0 1.173972-4 1.380384+0 9.892249-5 1.500000+0 8.533300-5 1.640590+0 7.336778-5 1.819701+0 6.207572-5 2.065380+0 5.101046-5 2.344229+0 4.224252-5 2.660725+0 3.524595-5 3.054921+0 2.914288-5 3.548134+0 2.388859-5 4.216965+0 1.914973-5 5.011872+0 1.546633-5 6.165950+0 1.207151-5 7.673615+0 9.361525-6 9.772372+0 7.125676-6 1.300000+1 5.205200-6 1.757924+1 3.762932-6 2.483133+1 2.613194-6 3.935501+1 1.620484-6 7.244360+1 8.683868-7 1.445440+2 4.317130-7 2.884032+2 2.154553-7 4.570882+3 1.354227-8 1.000000+5 6.18920-10 1 9000 7 0 1.899840+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 6.883700-4 4.441200-5 1.000000+5 4.441200-5 1 9000 7 7 1.899840+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.883700-4 6.425100-6 1.000000+5 6.425100-6 1 9000 7 9 1.899840+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.883700-4 6.375329-4 1.000000+5 1.000000+5 1 9000 7 0 1.899840+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 3.593000-5 3.469360+5 3.650000-5 3.684580+5 3.720000-5 3.938720+5 3.801894-5 4.221074+5 3.880000-5 4.475520+5 3.981072-5 4.781312+5 4.073803-5 5.040712+5 4.180000-5 5.312440+5 4.300000-5 5.588820+5 4.415704-5 5.826892+5 4.570882-5 6.105863+5 4.731513-5 6.350353+5 4.900000-5 6.563240+5 5.080000-5 6.747500+5 5.308844-5 6.925908+5 5.559043-5 7.061413+5 5.821032-5 7.147849+5 6.095369-5 7.188811+5 6.400000-5 7.187180+5 6.760830-5 7.135046+5 7.161434-5 7.028691+5 7.585776-5 6.875946+5 8.035261-5 6.683254+5 8.511380-5 6.456004+5 9.015711-5 6.199538+5 9.660509-5 5.861687+5 1.035142-4 5.499925+5 1.109175-4 5.122223+5 1.190000-4 4.730380+5 1.288250-4 4.289485+5 1.400000-4 3.839480+5 1.513561-4 3.436683+5 1.659587-4 2.993322+5 1.840772-4 2.542408+5 2.065380-4 2.103732+5 2.317395-4 1.727973+5 2.600160-4 1.409212+5 2.900000-4 1.153002+5 3.235937-4 9.352252+4 3.600000-4 7.573760+4 4.073803-4 5.884537+4 4.731513-4 4.300068+4 5.432503-4 3.197112+4 6.095369-4 2.481674+4 6.839116-4 1.912600+4 7.762471-4 1.424876+4 9.015711-4 9.977998+3 1.035142-3 7.126360+3 1.216186-3 4.773668+3 1.428894-3 3.173879+3 1.659587-3 2.155948+3 1.949845-3 1.410252+3 2.290868-3 9.157520+2 2.691535-3 5.902511+2 3.126079-3 3.898963+2 3.672823-3 2.476416+2 4.365158-3 1.511494+2 5.188000-3 9.155323+1 6.237348-3 5.319232+1 7.498942-3 3.067026+1 9.120108-3 1.695458+1 1.122018-2 8.979072+0 1.396368-2 4.553826+0 1.757924-2 2.210581+0 2.238721-2 1.026622+0 2.851018-2 4.731120-1 3.801894-2 1.865679-1 5.248075-2 6.526699-2 1.047129-1 6.783434-3 1.364583-1 2.854825-3 1.678804-1 1.460388-3 2.018366-1 8.108886-4 2.344229-1 5.055893-4 2.691535-1 3.293348-4 3.054921-1 2.239888-4 3.427678-1 1.588833-4 3.801894-1 1.174331-4 4.216965-1 8.742518-5 4.623810-1 6.770199-5 5.069907-1 5.278333-5 5.559043-1 4.145400-5 6.095369-1 3.280364-5 6.606935-1 2.690573-5 7.161434-1 2.221058-5 7.762471-1 1.844863-5 8.413951-1 1.542272-5 9.225714-1 1.266174-5 1.011579+0 1.047191-5 1.135011+0 8.309777-6 1.258925+0 6.794017-6 1.380384+0 5.724177-6 1.500000+0 4.937000-6 1.640590+0 4.244593-6 1.819701+0 3.591323-6 2.065380+0 2.951221-6 2.344229+0 2.443975-6 2.660725+0 2.039189-6 3.054921+0 1.686092-6 3.548134+0 1.382111-6 4.216965+0 1.107934-6 5.011872+0 8.948160-7 6.165950+0 6.984210-7 7.673615+0 5.416141-7 9.772372+0 4.122597-7 1.288250+1 3.041465-7 1.717908+1 2.231201-7 2.454709+1 1.530190-7 3.935501+1 9.375682-8 7.244360+1 5.024193-8 1.445440+2 2.497744-8 2.884032+2 1.246601-8 2.290868+3 1.564057-9 1.000000+5 3.58080-11 1 9000 7 0 1.899840+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 3.593000-5 3.593000-5 1.000000+5 3.593000-5 1 9000 7 9 1.899840+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.593000-5 0.0 1.000000+5 1.000000+5 1 9000 7 0 1.899840+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.705000-5 2.351600+6 1.720000-5 2.396200+6 1.760000-5 2.501700+6 1.810000-5 2.620100+6 1.870000-5 2.742300+6 1.930000-5 2.845800+6 2.000000-5 2.947500+6 2.075800-5 3.036900+6 2.162719-5 3.116200+6 2.270000-5 3.187800+6 2.371374-5 3.233700+6 2.500000-5 3.267400+6 2.650000-5 3.279600+6 2.818383-5 3.267400+6 3.019952-5 3.226900+6 3.243600-5 3.160400+6 3.467369-5 3.077000+6 3.730000-5 2.965300+6 4.000000-5 2.842000+6 4.265795-5 2.714700+6 4.570882-5 2.564900+6 4.897788-5 2.404600+6 5.188000-5 2.263900+6 5.500000-5 2.116000+6 5.821032-5 1.969000+6 6.165950-5 1.818600+6 6.531306-5 1.668600+6 6.918310-5 1.520600+6 7.328245-5 1.376700+6 7.800000-5 1.227600+6 8.317638-5 1.082800+6 8.912509-5 9.389900+5 9.549926-5 8.087300+5 1.035142-4 6.741600+5 1.122018-4 5.582500+5 1.230269-4 4.468800+5 1.364583-4 3.455900+5 1.531087-4 2.579000+5 1.720000-4 1.904800+5 1.905461-4 1.449500+5 2.089296-4 1.127400+5 2.317395-4 8.437600+4 2.600160-4 6.063100+4 2.951209-4 4.180100+4 3.467369-4 2.581900+4 4.073803-4 1.585100+4 4.677351-4 1.036400+4 5.248075-4 7.225000+3 5.956621-4 4.820100+3 6.760830-4 3.192600+3 7.762471-4 2.021800+3 9.015711-4 1.221900+3 1.122018-3 5.799600+2 1.318257-3 3.327700+2 1.513561-3 2.053200+2 1.757924-3 1.204300+2 2.113489-3 6.189600+1 2.483133-3 3.433859+1 2.917427-3 1.888744+1 3.388442-3 1.076409+1 3.890451-3 6.355811+0 4.570882-3 3.410706+0 5.432503-3 1.737198+0 7.000000-3 6.390683-1 8.709636-3 2.678463-1 1.109175-2 1.015350-1 1.445440-2 3.481684-2 2.018366-2 8.949782-3 4.731513-2 2.747756-4 6.095369-2 9.820403-5 7.498942-2 4.259615-5 9.015711-2 2.042416-5 1.071519-1 1.033270-5 1.244515-1 5.765778-6 1.428894-1 3.389237-6 1.621810-1 2.096665-6 1.840772-1 1.306493-6 2.065380-1 8.557942-7 2.317395-1 5.645787-7 2.570396-1 3.908340-7 2.851018-1 2.723906-7 3.162278-1 1.912336-7 3.507519-1 1.352922-7 3.890451-1 9.647466-8 4.265795-1 7.191616-8 4.677351-1 5.397362-8 5.128614-1 4.080169-8 5.623413-1 3.108135-8 6.165950-1 2.385602-8 6.760830-1 1.845122-8 7.413102-1 1.438207-8 8.609938-1 9.703901-9 9.120108-1 8.386309-9 9.660509-1 7.295656-9 1.011579+0 6.565722-9 1.074800+0 5.750900-9 1.135011+0 5.140865-9 1.216186+0 4.495100-9 1.303167+0 3.957205-9 1.412538+0 3.434773-9 1.640590+0 2.671029-9 1.840772+0 2.217747-9 2.065380+0 1.854855-9 2.344229+0 1.536081-9 2.660725+0 1.281648-9 3.054921+0 1.059699-9 3.548134+0 8.68654-10 4.216965+0 6.96340-10 5.011872+0 5.62396-10 6.165950+0 4.38956-10 7.673615+0 3.40407-10 9.772372+0 2.59104-10 1.300000+1 1.89280-10 1.737801+1 1.38525-10 2.454709+1 9.61747-11 3.890451+1 5.96283-11 7.161434+1 3.19483-11 1.428894+2 1.58817-11 2.851018+2 7.92577-12 4.518559+3 4.98134-13 1.000000+5 2.25060-14 1 9000 7 0 1.899840+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.705000-5 1.705000-5 1.000000+5 1.705000-5 1 9000 7 9 1.899840+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.705000-5 0.0 1.000000+5 1.000000+5 1 9000 7 0 1.899840+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.698000-5 4.745229+6 1.737801-5 4.967790+6 1.778279-5 5.169053+6 1.830000-5 5.396961+6 1.890000-5 5.624428+6 1.949845-5 5.816695+6 2.018366-5 6.000016+6 2.089296-5 6.155147+6 2.162719-5 6.283311+6 2.270000-5 6.420927+6 2.371374-5 6.507209+6 2.511886-5 6.571823+6 2.660725-5 6.586846+6 2.818383-5 6.557896+6 3.000000-5 6.482827+6 3.198895-5 6.364029+6 3.427678-5 6.194724+6 3.672823-5 5.987879+6 3.935501-5 5.746725+6 4.229500-5 5.463279+6 4.518559-5 5.178992+6 4.800000-5 4.900462+6 5.128614-5 4.578347+6 5.432503-5 4.287274+6 5.754399-5 3.989966+6 6.095369-5 3.688997+6 6.456542-5 3.387584+6 6.839116-5 3.090550+6 7.244360-5 2.801501+6 7.673615-5 2.523002+6 8.128305-5 2.258577+6 8.709636-5 1.963450+6 9.332543-5 1.694174+6 1.011579-4 1.415255+6 1.096478-4 1.173678+6 1.216186-4 9.149547+5 1.364583-4 6.876617+5 1.531087-4 5.130234+5 1.720000-4 3.788463+5 1.927525-4 2.794134+5 2.162719-4 2.036325+5 2.426610-4 1.470504+5 2.722701-4 1.053022+5 3.162278-4 6.757799+4 3.758374-4 4.018463+4 4.365158-4 2.545675+4 4.954502-4 1.717996+4 5.559043-4 1.193262+4 6.309573-4 7.929976+3 7.244360-4 5.037873+3 8.317638-4 3.176279+3 9.772372-4 1.839181+3 1.202264-3 9.043770+2 1.396368-3 5.381603+2 1.548817-3 3.737815+2 1.798871-3 2.190107+2 2.089296-3 1.274301+2 2.454709-3 7.058675+1 2.851018-3 4.051676+1 3.311311-3 2.309370+1 3.758374-3 1.425838+1 4.415704-3 7.656695+0 5.248075-3 3.900987+0 6.531306-3 1.644674+0 8.035261-3 7.201789-1 1.011579-2 2.853425-1 1.333521-2 9.310107-2 1.778279-2 2.877132-2 2.540973-2 6.649424-3 5.011872-2 4.027318-4 6.760830-2 1.179199-4 8.222426-2 5.317360-5 9.772372-2 2.651816-5 1.148154-1 1.394899-5 1.318257-1 8.098407-6 1.513561-1 4.737241-6 1.698244-1 3.049001-6 1.905461-1 1.976437-6 2.113489-1 1.347287-6 2.344229-1 9.251130-7 2.570396-1 6.666696-7 2.818383-1 4.835412-7 3.090295-1 3.532087-7 3.388442-1 2.600028-7 3.672823-1 2.002357-7 3.981072-1 1.552337-7 4.315191-1 1.211902-7 4.677351-1 9.531384-8 5.069907-1 7.551010-8 5.495409-1 6.026361-8 5.956621-1 4.845631-8 6.456542-1 3.925604-8 6.998420-1 3.204567-8 7.585776-1 2.636144-8 8.222427-1 2.185050-8 8.912509-1 1.824758-8 9.660509-1 1.535457-8 1.096478+0 1.185361-8 1.203700+0 9.857700-9 1.318257+0 8.300475-9 1.445440+0 7.025702-9 1.566751+0 6.112722-9 1.737801+0 5.154432-9 1.949845+0 4.299180-9 2.213095+0 3.547379-9 2.511886+0 2.950058-9 2.884032+0 2.431735-9 3.349654+0 1.987749-9 3.935501+0 1.612519-9 4.677351+0 1.298583-9 5.623413+0 1.038833-9 7.079458+0 7.92471-10 8.912509+0 6.09456-10 1.174898+1 4.48469-10 1.603245+1 3.20325-10 2.290868+1 2.19378-10 3.630781+1 1.35855-10 6.606934+1 7.35762-11 1.318257+2 3.65497-11 2.630268+2 1.82354-11 2.089296+3 2.28691-12 1.000000+5 4.77510-14 1 9000 7 0 1.899840+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.698000-5 1.698000-5 1.000000+5 1.698000-5 1 9000 7 9 1.899840+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.698000-5 0.0 1.000000+5 1.000000+5 1 9000 7 0 1.899840+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.021830-9 1.028750+0 3.021830-8 1.036640+0 3.021830-7 1.046400+0 1.361340-6 1.048300+0 1.694900-6 1.051200+0 2.299100-6 1.054080+0 3.021830-6 1.057700+0 4.118920-6 1.061100+0 5.357650-6 1.065100+0 7.092860-6 1.070400+0 9.895160-6 1.076200+0 1.367500-5 1.080600+0 1.707780-5 1.087100+0 2.300960-5 1.093710+0 3.021830-5 1.102600+0 4.190060-5 1.110700+0 5.465200-5 1.120600+0 7.311770-5 1.133300+0 1.016780-4 1.147500+0 1.404080-4 1.158200+0 1.744990-4 1.174100+0 2.331790-4 1.190110+0 3.021830-4 1.205100+0 3.759000-4 1.227500+0 5.028170-4 1.250000+0 6.506000-4 1.281300+0 8.901720-4 1.308600+0 1.131280-3 1.332500+0 1.366570-3 1.374400+0 1.832150-3 1.405800+0 2.223820-3 1.452900+0 2.876180-3 1.500000+0 3.601000-3 1.562500+0 4.663010-3 1.617200+0 5.675960-3 1.712900+0 7.611820-3 1.784700+0 9.180510-3 1.892300+0 1.168430-2 2.000000+0 1.434000-2 2.044000+0 1.546000-2 2.163500+0 1.856640-2 2.372600+0 2.414080-2 2.647100+0 3.154890-2 3.000000+0 4.101000-2 3.437500+0 5.246870-2 4.000000+0 6.651000-2 4.750000+0 8.379580-2 5.000000+0 8.924000-2 6.000000+0 1.096000-1 7.000000+0 1.278000-1 8.000000+0 1.441000-1 9.000000+0 1.589000-1 1.000000+1 1.724000-1 1.100000+1 1.847000-1 1.200000+1 1.959000-1 1.300000+1 2.063000-1 1.400000+1 2.160000-1 1.500000+1 2.251000-1 1.600000+1 2.336000-1 1.800000+1 2.493000-1 2.000000+1 2.633000-1 2.200000+1 2.760000-1 2.400000+1 2.875000-1 2.600000+1 2.981000-1 2.800000+1 3.079000-1 3.000000+1 3.170000-1 4.000000+1 3.540000-1 5.000000+1 3.822000-1 6.000000+1 4.045000-1 8.000000+1 4.380000-1 1.000000+2 4.626000-1 1.500000+2 5.029000-1 2.000000+2 5.276000-1 3.000000+2 5.568000-1 4.000000+2 5.738000-1 5.000000+2 5.850000-1 6.000000+2 5.931000-1 8.000000+2 6.040000-1 1.000000+3 6.110000-1 1.500000+3 6.212000-1 2.000000+3 6.268000-1 3.000000+3 6.329000-1 4.000000+3 6.361000-1 5.000000+3 6.382000-1 6.000000+3 6.396000-1 8.000000+3 6.415000-1 1.000000+4 6.427000-1 1.500000+4 6.443000-1 2.000000+4 6.452000-1 3.000000+4 6.461000-1 4.000000+4 6.466000-1 5.000000+4 6.469000-1 6.000000+4 6.471000-1 8.000000+4 6.474000-1 1.000000+5 6.476000-1 1 9000 7 8 1.899840+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 9000 7 9 1.899840+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 9000 7 0 1.899840+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 9.036830-8 2.136250+0 9.036830-7 2.147000+0 1.239010-6 2.156900+0 1.609330-6 2.169000+0 2.147750-6 2.184500+0 2.985440-6 2.201800+0 4.130450-6 2.214800+0 5.146210-6 2.234200+0 6.922570-6 2.253680+0 9.036830-6 2.281500+0 1.265770-5 2.307000+0 1.662590-5 2.338200+0 2.235490-5 2.377400+0 3.095900-5 2.410200+0 3.937470-5 2.446800+0 5.008690-5 2.485900+0 6.306200-5 2.532900+0 8.070560-5 2.556430+0 9.036830-5 2.611900+0 1.152280-4 2.660400+0 1.393030-4 2.745300+0 1.864450-4 2.809000+0 2.257940-4 2.904500+0 2.908750-4 3.000000+0 3.631000-4 3.125000+0 4.682500-4 3.234400+0 5.698230-4 3.425800+0 7.675270-4 3.569300+0 9.308760-4 3.784700+0 1.196940-3 4.000000+0 1.483000-3 4.250000+0 1.832680-3 4.625000+0 2.382250-3 5.000000+0 2.954000-3 5.500000+0 3.740150-3 6.000000+0 4.538000-3 6.750000+0 5.726400-3 7.000000+0 6.118000-3 8.000000+0 7.653000-3 9.000000+0 9.124000-3 1.000000+1 1.053000-2 1.100000+1 1.186000-2 1.200000+1 1.311000-2 1.300000+1 1.430000-2 1.400000+1 1.544000-2 1.500000+1 1.652000-2 1.600000+1 1.754000-2 1.800000+1 1.945000-2 2.000000+1 2.120000-2 2.200000+1 2.281000-2 2.400000+1 2.430000-2 2.600000+1 2.568000-2 2.800000+1 2.697000-2 3.000000+1 2.817000-2 4.000000+1 3.324000-2 5.000000+1 3.717000-2 6.000000+1 4.036000-2 8.000000+1 4.530000-2 1.000000+2 4.901000-2 1.500000+2 5.536000-2 2.000000+2 5.949000-2 3.000000+2 6.467000-2 4.000000+2 6.783000-2 5.000000+2 7.001000-2 6.000000+2 7.162000-2 8.000000+2 7.384000-2 1.000000+3 7.532000-2 1.500000+3 7.753000-2 2.000000+3 7.878000-2 3.000000+3 8.013000-2 4.000000+3 8.094000-2 5.000000+3 8.142000-2 6.000000+3 8.177000-2 8.000000+3 8.222000-2 1.000000+4 8.251000-2 1.500000+4 8.290000-2 2.000000+4 8.313000-2 3.000000+4 8.334000-2 4.000000+4 8.349000-2 5.000000+4 8.357000-2 6.000000+4 8.362000-2 8.000000+4 8.368000-2 1.000000+5 8.372000-2 1 9000 7 8 1.899840+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 9000 7 9 1.899840+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 9000 7 0 1.899840+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 9.000000+0 1.000000+5 9.000000+0 5.000000+5 8.997600+0 6.250000+5 8.995760+0 7.187500+5 8.994620+0 7.890600+5 8.993850+0 8.418000+5 8.993320+0 9.209000+5 8.992580+0 1.000000+6 8.991900+0 1.062500+6 8.990730+0 1.171900+6 8.988830+0 1.500000+6 8.983100+0 1.875000+6 8.973550+0 2.000000+6 8.969900+0 2.500000+6 8.953100+0 3.000000+6 8.932600+0 4.000000+6 8.880800+0 5.000000+6 8.815000+0 6.000000+6 8.735480+0 6.500000+6 8.691160+0 7.000000+6 8.644100+0 8.000000+6 8.540080+0 8.500000+6 8.483620+0 9.000000+6 8.425500+0 1.000000+7 8.301100+0 1.125000+7 8.131940+0 1.250000+7 7.950100+0 1.375000+7 7.757570+0 1.500000+7 7.557900+0 1.625000+7 7.350100+0 1.687500+7 7.244850+0 1.750000+7 7.138400+0 1.937500+7 6.813650+0 2.000000+7 6.705600+0 2.125000+7 6.488000+0 2.312500+7 6.164720+0 2.500000+7 5.847500+0 2.718800+7 5.488060+0 2.906300+7 5.192540+0 3.000000+7 5.049900+0 3.250000+7 4.685140+0 3.437500+7 4.429480+0 3.718800+7 4.075000+0 4.000000+7 3.755000+0 4.250000+7 3.497410+0 4.500000+7 3.265010+0 4.625000+7 3.158110+0 5.000000+7 2.870100+0 5.500000+7 2.555470+0 5.750000+7 2.423400+0 6.000000+7 2.306200+0 6.500000+7 2.109840+0 6.750000+7 2.027760+0 7.000000+7 1.954600+0 7.500000+7 1.831410+0 8.000000+7 1.732600+0 8.500000+7 1.652380+0 9.000000+7 1.586000+0 1.000000+8 1.481000+0 1.187500+8 1.331520+0 1.250000+8 1.287200+0 1.359400+8 1.211770+0 1.453100+8 1.149430+0 1.500000+8 1.119200+0 1.617200+8 1.045290+0 1.712900+8 9.858510-1 1.784700+8 9.412610-1 1.861600+8 8.935610-1 1.875000+8 8.853130-1 1.953900+8 8.364500-1 2.000000+8 8.080000-1 2.062500+8 7.697870-1 2.335900+8 6.247000-1 2.375000+8 6.080160-1 2.445300+8 5.808420-1 2.500000+8 5.621000-1 2.718800+8 5.005630-1 2.815400+8 4.737940-1 2.881300+8 4.542000-1 2.940700+8 4.353810-1 3.000000+8 4.154000-1 3.062500+8 3.932200-1 3.117200+8 3.736480-1 3.332500+8 3.053680-1 3.392300+8 2.904160-1 3.464100+8 2.751870-1 3.500000+8 2.687000-1 3.562500+8 2.591440-1 3.617200+8 2.521210-1 3.856400+8 2.275140-1 3.928200+8 2.200460-1 4.000000+8 2.119000-1 4.062500+8 2.041100-1 4.148600+8 1.926740-1 4.227500+8 1.818680-1 4.324100+8 1.686600-1 4.448000+8 1.524060-1 4.645100+8 1.293060-1 4.881700+8 1.070720-1 5.000000+8 9.820000-2 6.000000+8 5.470000-2 6.562500+8 3.954300-2 6.718800+8 3.654030-2 6.859400+8 3.430740-2 6.964800+8 3.291320-2 7.000000+8 3.250000-2 7.125000+8 3.122170-2 7.234400+8 3.028600-2 7.665000+8 2.725730-2 7.784700+8 2.640740-2 7.928200+8 2.529880-2 8.000000+8 2.470000-2 8.125000+8 2.358030-2 8.242200+8 2.247000-2 8.403500+8 2.089690-2 8.551600+8 1.945210-2 8.732700+8 1.773360-2 8.891100+8 1.630480-2 1.000000+9 9.100000-3 1.015600+9 8.462390-3 1.045900+9 7.417000-3 1.074300+9 6.618980-3 1.100900+9 5.993730-3 1.137500+9 5.281210-3 1.171100+9 4.742540-3 1.193100+9 4.436020-3 1.500000+9 2.040900-3 1.562500+9 1.761520-3 1.617200+9 1.549510-3 1.712900+9 1.242120-3 1.784700+9 1.056440-3 2.000000+9 6.689300-4 2.187500+9 4.671930-4 2.539100+9 2.586870-4 2.846700+9 1.650070-4 5.000000+9 1.837900-5 8.000000+9 2.920200-6 1.00000+10 1.225600-6 1.13510+10 7.508350-7 1.41440+10 3.224960-7 1.70770+10 1.572690-7 2.01080+10 8.474250-8 2.51010+10 3.685550-8 2.97820+10 1.950320-8 3.41710+10 1.173250-8 4.24000+10 5.318730-9 5.27500+10 2.407670-9 6.14120+10 1.393600-9 7.51940+10 6.77380-10 8.75970+10 3.95101-10 1.00000+11 2.48440-10 1.17140+11 1.43376-10 1.47470+11 6.49482-11 1.82930+11 3.12232-11 2.26780+11 1.51633-11 3.06680+11 5.56951-12 4.01990+11 2.29639-12 5.50790+11 8.30244-13 8.34870+11 2.21185-13 1.31280+12 5.37243-14 2.31100+12 9.46069-15 5.15000+12 8.47983-16 1.71130+13 2.45892-17 1.00000+14 1.42600-19 5.62340+14 8.73312-22 5.42470+15 9.86481-25 1.00000+17 1.46800-28 1 9000 7 0 1.899840+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.00000-12 1.000000+2 1.00000-10 1.000000+3 1.000000-8 1.000000+4 1.000000-6 1.000000+5 1.000000-4 5.000000+5 2.500000-3 6.250000+5 3.906250-3 7.187500+5 5.166016-3 7.890600+5 6.226157-3 8.418000+5 7.086272-3 9.209000+5 8.480568-3 1.000000+6 1.000000-2 1.062500+6 1.133760-2 1.171900+6 1.381060-2 1.500000+6 2.240000-2 1.875000+6 3.489860-2 2.000000+6 3.970000-2 2.500000+6 6.190000-2 3.000000+6 8.880000-2 4.000000+6 1.565000-1 5.000000+6 2.420000-1 6.000000+6 3.439140-1 6.500000+6 4.005990-1 7.000000+6 4.610000-1 8.000000+6 5.919710-1 8.500000+6 6.620340-1 9.000000+6 7.349000-1 1.000000+7 8.880000-1 1.125000+7 1.092510+0 1.250000+7 1.308400+0 1.375000+7 1.532020+0 1.500000+7 1.761000+0 1.625000+7 1.993380+0 1.687500+7 2.110040+0 1.750000+7 2.227100+0 1.937500+7 2.575760+0 2.000000+7 2.691000+0 2.125000+7 2.918080+0 2.312500+7 3.249910+0 2.500000+7 3.569300+0 2.718800+7 3.923310+0 2.906300+7 4.209790+0 3.000000+7 4.347000+0 3.250000+7 4.691970+0 3.437500+7 4.931280+0 3.718800+7 5.259570+0 4.000000+7 5.552000+0 4.250000+7 5.783200+0 4.500000+7 5.990240+0 4.625000+7 6.085220+0 5.000000+7 6.339000+0 5.500000+7 6.613460+0 5.750000+7 6.728850+0 6.000000+7 6.832000+0 6.500000+7 7.007210+0 6.750000+7 7.082440+0 7.000000+7 7.151000+0 7.500000+7 7.271370+0 8.000000+7 7.376000+0 8.500000+7 7.468250+0 9.000000+7 7.552000+0 1.000000+8 7.703000+0 1.187500+8 7.949830+0 1.250000+8 8.024300+0 1.359400+8 8.146500+0 1.453100+8 8.242240+0 1.500000+8 8.288000+0 1.617200+8 8.391620+0 1.712900+8 8.467030+0 1.784700+8 8.517900+0 1.861600+8 8.568280+0 1.875000+8 8.576620+0 1.953900+8 8.622620+0 2.000000+8 8.647900+0 2.062500+8 8.678250+0 2.335900+8 8.786930+0 2.375000+8 8.798970+0 2.445300+8 8.819960+0 2.500000+8 8.834500+0 2.718800+8 8.881000+0 2.815400+8 8.897570+0 2.881300+8 8.906820+0 2.940700+8 8.915000+0 3.000000+8 8.923000+0 3.062500+8 8.929280+0 3.117200+8 8.934670+0 3.332500+8 8.952170+0 3.392300+8 8.956130+0 3.464100+8 8.960800+0 3.500000+8 8.963100+0 3.562500+8 8.965780+0 3.617200+8 8.968080+0 3.856400+8 8.977770+0 3.928200+8 8.980000+0 4.000000+8 8.982000+0 4.062500+8 8.983170+0 4.148600+8 8.984760+0 4.227500+8 8.986190+0 4.324100+8 8.987900+0 4.448000+8 8.990030+0 4.645100+8 8.992180+0 4.881700+8 8.994150+0 5.000000+8 8.995100+0 6.000000+8 8.998500+0 6.562500+8 8.999080+0 6.718800+8 8.999230+0 6.859400+8 8.999370+0 6.964800+8 8.999470+0 7.000000+8 8.999500+0 7.125000+8 8.999570+0 7.234400+8 8.999620+0 7.665000+8 8.999840+0 7.784700+8 8.999900+0 7.928200+8 8.999970+0 8.000000+8 9.000000+0 8.125000+8 9.000000+0 8.242200+8 9.000000+0 8.403500+8 9.000000+0 8.551600+8 9.000000+0 8.732700+8 9.000000+0 8.891100+8 9.000000+0 1.000000+9 9.000000+0 1.015600+9 9.000000+0 1.045900+9 9.000000+0 1.074300+9 9.000000+0 1.100900+9 9.000000+0 1.137500+9 9.000000+0 1.171100+9 9.000000+0 1.193100+9 9.000000+0 1.500000+9 9.000000+0 1.562500+9 9.000000+0 1.617200+9 9.000000+0 1.712900+9 9.000000+0 1.784700+9 9.000000+0 2.000000+9 9.000000+0 2.187500+9 9.000000+0 2.539100+9 9.000000+0 2.846700+9 9.000000+0 5.000000+9 9.000000+0 8.000000+9 9.000000+0 1.00000+10 9.000000+0 1.13510+10 9.000000+0 1.41440+10 9.000000+0 1.70770+10 9.000000+0 2.01080+10 9.000000+0 2.51010+10 9.000000+0 2.97820+10 9.000000+0 3.41710+10 9.000000+0 4.24000+10 9.000000+0 5.27500+10 9.000000+0 6.14120+10 9.000000+0 7.51940+10 9.000000+0 8.75970+10 9.000000+0 1.00000+11 9.000000+0 1.17140+11 9.000000+0 1.47470+11 9.000000+0 1.82930+11 9.000000+0 2.26780+11 9.000000+0 3.06680+11 9.000000+0 4.01990+11 9.000000+0 5.50790+11 9.000000+0 8.34870+11 9.000000+0 1.31280+12 9.000000+0 2.31100+12 9.000000+0 5.15000+12 9.000000+0 1.71130+13 9.000000+0 1.00000+14 9.000000+0 5.62340+14 9.000000+0 5.42470+15 9.000000+0 1.00000+17 9.000000+0 1 9000 7 0 1.899840+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.042433-6 0.0 9.223388-6 0.0 1.237208-5 0.0 1.242537-5 3.974574-1 1.243298-5 4.536576-1 1.244352-5 5.832015-1 1.246343-5 9.023709-1 1.249389-5 1.582213+0 1.252434-5 2.517751+0 1.255860-5 3.882704+0 1.261570-5 6.442699+0 1.264805-5 7.637318+0 1.268153-5 8.340649+0 1.271085-5 8.417467+0 1.274030-5 7.949992+0 1.277681-5 6.737616+0 1.285931-5 3.229195+0 1.288977-5 2.163830+0 1.291590-5 1.463763+0 1.292022-5 1.353850+0 1.293357-5 1.081677+0 1.296420-5 5.574031-1 1.298112-5 3.188464-1 1.299483-5 2.333563-1 1.302545-5 1.185009-1 1.305608-5 0.0 1.386669-5 0.0 1.386845-5 3.582771-8 1.393672-5 2.813978-6 1.393989-5 3.025082-6 1.397085-5 5.745965-6 1.400674-5 1.018427-5 1.404282-5 1.648132-5 1.407713-5 2.405484-5 1.414575-5 4.084411-5 1.418007-5 4.756603-5 1.421438-5 5.143122-5 1.424869-5 5.165621-5 1.428300-5 4.821303-5 1.431731-5 4.183136-5 1.438593-5 2.532008-5 1.441843-5 1.801842-5 1.444875-5 1.235229-5 1.448288-5 7.579930-6 1.448887-5 6.917070-6 1.452318-5 3.738242-6 1.454931-5 1.739296-6 1.455115-5 1.637469-6 1.455749-5 1.422265-6 1.459180-5 7.222417-7 1.462611-5 0.0 1.486209-5 0.0 1.492474-5 7.109417-2 1.493343-5 8.085071-2 1.493525-5 8.391913-2 1.497183-5 1.731002-1 1.500841-5 2.977755-1 1.504499-5 4.742914-1 1.509027-5 7.605964-1 1.521769-5 1.858400+0 1.527367-5 2.266544+0 1.534086-5 2.650422+0 1.538974-5 2.837889+0 1.543446-5 2.901321+0 1.546384-5 2.874721+0 1.550647-5 2.679613+0 1.554647-5 2.355149+0 1.562589-5 1.476930+0 1.564741-5 1.229267+0 1.568456-5 8.663318-1 1.572378-5 5.738117-1 1.573735-5 5.059918-1 1.576155-5 4.107000-1 1.579885-5 3.421460-1 1.581482-5 3.338211-1 1.583392-5 3.409993-1 1.585355-5 4.019081-1 1.589505-5 5.746705-1 1.592048-5 7.223132-1 1.603875-5 1.531381+0 1.608952-5 1.784163+0 1.612865-5 1.866960+0 1.617888-5 1.833080+0 1.631913-5 1.502899+0 1.638184-5 1.473360+0 1.660900-5 1.636861+0 1.683434-5 1.663001+0 1.844010-5 2.159003+0 1.850707-5 2.387836+0 1.852638-5 2.575648+0 1.857176-5 3.109089+0 1.859818-5 3.488255+0 1.864373-5 4.409244+0 1.869498-5 5.895235+0 1.876872-5 8.648506+0 1.882594-5 1.091635+1 1.888085-5 1.253117+1 1.892466-5 1.319006+1 1.896997-5 1.308536+1 1.901751-5 1.214325+1 1.906974-5 1.039760+1 1.917601-5 6.321453+0 1.921314-5 5.192362+0 1.923592-5 4.555003+0 1.928147-5 3.651829+0 1.932702-5 3.027501+0 1.936155-5 2.760783+0 1.941813-5 2.401817+0 2.280681-5 3.136992+0 2.719993-5 3.829900+0 3.251497-5 4.434804+0 3.296820-5 4.759221+0 3.326205-5 4.860597+0 3.382822-5 4.544900+0 3.442241-5 4.688774+0 3.570562-5 4.820237+0 4.212224-5 5.269782+0 4.915200-5 5.508971+0 5.821032-5 5.505964+0 7.455899-5 4.997780+0 1.096478-4 3.578549+0 1.348114-4 2.833032+0 1.576275-4 2.341852+0 1.881762-4 1.866439+0 2.172076-4 1.539613+0 2.498661-4 1.266983+0 2.862044-4 1.043158+0 3.289917-4 8.510549-1 3.713017-4 7.108488-1 4.219242-4 5.866226-1 4.807711-4 4.811121-1 5.511248-4 3.898068-1 6.326344-4 3.136327-1 6.552821-4 2.988240-1 6.585079-4 6.109430-1 6.601207-4 8.704407-1 6.617349-4 1.264076+0 6.635448-4 1.881994+0 6.681518-4 3.780273+0 6.698547-4 4.261361+0 6.717160-4 4.426941+0 6.735490-4 4.213680+0 6.759018-4 3.566092+0 6.788333-4 2.681673+0 6.799200-4 2.456997+0 6.814876-4 2.285188+0 6.831690-4 2.299841+0 6.850492-4 2.503066+0 6.881978-4 2.977954+0 6.909250-4 3.438040+0 6.938879-4 3.737916+0 6.986398-4 3.916099+0 7.178755-4 3.983848+0 7.676992-4 3.785316+0 8.710213-4 3.117580+0 1.032064-3 2.437843+0 1.189807-3 1.952348+0 1.383507-3 1.531762+0 1.573690-3 1.234567+0 1.804777-3 9.758976-1 2.011200-3 8.074708-1 2.213922-3 6.805490-1 2.477779-3 5.546042-1 2.764902-3 4.535008-1 3.098059-3 3.664677-1 3.435867-3 3.011442-1 3.792029-3 2.494680-1 4.158793-3 2.085133-1 4.570882-3 1.733401-1 5.144380-3 1.371330-1 5.629908-3 1.145478-1 6.237348-3 9.312620-2 6.985950-3 7.392682-2 7.665209-3 6.108710-2 8.458669-3 4.983843-2 9.248176-3 4.133925-2 1.016555-2 3.392430-2 1.109175-2 2.820314-2 1.224922-2 2.284354-2 1.358477-2 1.830046-2 1.507988-2 1.460406-2 1.642904-2 1.213624-2 1.793799-2 1.001783-2 1.992673-2 7.955140-3 2.179077-2 6.537223-3 2.424179-2 5.159800-3 2.688240-2 4.101068-3 2.956077-2 3.314928-3 3.289866-2 2.606186-3 3.646923-2 2.067152-3 4.029639-2 1.649145-3 4.381760-2 1.363803-3 4.850627-2 1.082664-3 5.305026-2 8.835286-4 5.753168-2 7.340250-4 6.250664-2 6.071163-4 6.771090-2 5.058706-4 7.438308-2 4.079688-4 8.023135-2 3.431779-4 8.700246-2 2.851693-4 9.454891-2 2.358184-4 1.026290-1 1.954945-4 1.109773-1 1.635379-4 1.201724-1 1.364865-4 1.329689-1 1.083998-4 1.460286-1 8.780922-5 1.587417-1 7.281822-5 1.725078-1 6.053726-5 1.880293-1 5.008909-5 2.057523-1 4.113678-5 2.267667-1 3.334707-5 2.485794-1 2.745684-5 2.709509-1 2.291885-5 3.006942-1 1.851198-5 3.291120-1 1.546087-5 3.631667-1 1.276871-5 4.021583-1 1.054005-5 4.518559-1 8.538422-6 4.954502-1 7.286734-6 5.479614-1 6.178807-6 6.008278-1 5.352890-6 6.637908-1 4.626886-6 7.615171-1 3.845813-6 8.413952-1 3.401188-6 9.772369-1 2.876605-6 1.173413+0 2.398855-6 1.410753+0 2.003624-6 1.696098+0 1.673511-6 2.039158+0 1.397786-6 2.451607+0 1.167490-6 2.947480+0 9.751364-7 3.543651+0 8.144749-7 4.260405+0 6.802836-7 5.122134+0 5.682014-7 6.158159+0 4.745856-7 7.403736+0 3.963938-7 8.901248+0 3.310847-7 9.760024+0 3.025835-7 1.000000+1 5.851467-7 1 9000 7 0 1.899840+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-9.002146+0 3.042433-6-9.019760+0 9.223388-6-9.123654+0 1.140831-5-8.892974+0 1.200603-5-8.401361+0 1.224517-5-7.751410+0 1.234854-5-7.065607+0 1.243298-5-5.892862+0 1.249769-5-4.789938+0 1.253481-5-4.398598+0 1.256573-5-4.397812+0 1.259418-5-4.783625+0 1.261570-5-5.360123+0 1.264472-5-6.500242+0 1.267801-5-8.278463+0 1.270548-5-9.818599+0 1.274678-5-7.515727+0 1.278109-5-6.106687+0 1.281488-5-5.288497+0 1.284168-5-4.998143+0 1.285931-5-5.008619+0 1.288977-5-5.242505+0 1.298112-5-6.675729+0 1.302545-5-7.346923+0 1.310850-5-8.164056+0 1.328746-5-8.942492+0 1.374959-5-9.780985+0 1.407713-5-1.011721+1 1.478266-5-9.538614+0 1.513028-5-8.466163+0 1.523635-5-8.752236+0 1.538450-5-9.867721+0 1.545367-5-1.063498+1 1.555813-5-9.646910+0 1.564338-5-9.501127+0 1.576155-5-1.028238+1 1.583392-5-1.078170+1 1.595893-5-1.021764+1 1.607103-5-1.049385+1 1.617219-5-1.104133+1 1.631913-5-1.092085+1 1.678650-5-1.113945+1 1.767593-5-1.161809+1 1.820796-5-1.020979+1 1.839163-5-9.231874+0 1.850393-5-7.981107+0 1.865939-5-5.729084+0 1.870494-5-5.359098+0 1.875121-5-5.422921+0 1.878213-5-5.786110+0 1.881670-5-6.524435+0 1.886669-5-8.293820+0 1.891932-5-1.085830+1 1.892466-5-1.114773+1 1.898310-5-8.146654+0 1.902656-5-6.182183+0 1.906362-5-4.906748+0 1.909129-5-4.261117+0 1.912125-5-3.813643+0 1.915030-5-3.609187+0 1.918319-5-3.690802+0 1.923022-5-4.105779+0 1.936155-5-5.990424+0 1.946283-5-7.180307+0 1.959597-5-7.948007+0 1.985780-5-8.655859+0 2.040519-5-9.222645+0 2.185921-5-9.550919+0 2.719993-5-9.169322+0 3.242034-5-8.701510+0 3.300742-5-8.660886+0 3.353100-5-8.199446+0 3.453976-5-8.327647+0 5.454454-5-5.502104+0 6.400000-5-4.440784+0 7.455899-5-3.530793+0 8.269895-5-3.007542+0 9.216000-5-2.558486+0 1.048002-4-2.145701+0 1.169258-4-1.889395+0 1.348114-4-1.660006+0 1.576275-4-1.509493+0 1.881762-4-1.431297+0 2.380778-4-1.433795+0 3.289917-4-1.587822+0 4.219242-4-1.842164+0 5.026319-4-2.177421+0 5.511248-4-2.490968+0 5.858144-4-2.830730+0 6.113611-4-3.214776+0 6.225991-4-3.451626+0 6.429374-4-3.500305+0 6.503045-4-3.388050+0 6.545141-4-3.159684+0 6.619680-4-2.293978+0 6.638343-4-2.240346+0 6.652320-4-2.381800+0 6.668320-4-2.731366+0 6.680450-4-3.169484+0 6.697669-4-4.040994+0 6.713562-4-4.962620+0 6.739125-4-3.888028+0 6.755044-4-3.490542+0 6.768423-4-3.346706+0 6.783601-4-3.369384+0 6.807687-4-3.768874+0 6.840711-4-4.448209+0 6.859781-4-4.675264+0 6.890108-4-4.816565+0 6.932563-4-4.488797+0 7.007760-4-3.836749+0 7.122211-4-3.267007+0 7.319569-4-2.615003+0 7.532404-4-2.094348+0 7.748157-4-1.690443+0 7.975942-4-1.365477+0 8.179167-4-1.144730+0 8.473912-4-9.016958-1 8.831539-4-6.764576-1 9.093897-4-5.365430-1 9.414265-4-3.940086-1 9.682491-4-2.889161-1 9.957754-4-1.958635-1 1.009080-3-1.559530-1 1.035142-3-8.536419-2 1.060779-3-2.516025-2 1.083667-3 2.049759-2 1.093929-3 4.137527-2 1.122469-3 8.894268-2 1.155130-3 1.362595-1 1.189807-3 1.794918-1 1.243784-3 2.339314-1 1.309747-3 2.865238-1 1.383507-3 3.262448-1 1.454418-3 3.541649-1 1.573690-3 3.799032-1 1.741733-3 3.931642-1 2.067918-3 3.789036-1 3.334015-3 2.551379-1 4.046013-3 2.031215-1 4.808695-3 1.622468-1 5.629908-3 1.301584-1 6.573740-3 1.034340-1 7.665209-3 8.144019-2 8.709636-3 6.620014-2 9.861014-3 5.363526-2 1.109175-2 4.362265-2 1.247544-2 3.515851-2 1.423979-2 2.723424-2 1.594915-2 2.156821-2 1.793799-2 1.668704-2 1.992673-2 1.302463-2 2.179077-2 1.038274-2 2.388831-2 8.038783-3 2.568085-2 6.427078-3 2.782179-2 4.863416-3 2.956077-2 3.812409-3 3.167197-2 2.741412-3 3.384824-2 1.821927-3 3.499542-2 1.398191-3 3.646923-2 9.084222-4 3.799159-2 4.569674-4 3.879444-2 2.382543-4 3.956252-2 4.010048-5 4.029639-2-1.398932-4 4.099676-2-3.037423-4 4.199135-2-5.224359-4 4.381760-2-8.896430-4 4.671044-2-1.391748-3 4.951507-2-1.802748-3 5.443202-2-2.383726-3 6.074866-2-2.946331-3 7.135810-2-3.608921-3 8.504378-2-4.151699-3 1.050829-1-4.596900-3 1.416741-1-4.977086-3 2.267667-1-5.260591-3 5.854637-1-5.414839-3 1.776032+0-5.439112-3 5.363532+0-5.441746-3 1.000000+1-5.441781-3 1 10000 7 0 2.017900+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.130384-6 1.152000-6 6.808027-6 1.224000-6 9.181559-6 1.300500-6 1.204782-5 1.381781-6 1.544857-5 1.468143-6 1.943448-5 1.559901-6 2.405638-5 1.657395-6 2.936392-5 1.760983-6 3.540391-5 1.871044-6 4.221803-5 1.987984-6 4.983090-5 2.048000-6 5.443608-5 2.178240-6 7.422318-5 2.388899-6 1.125161-4 2.619929-6 1.615823-4 2.873303-6 2.226508-4 3.072000-6 2.767585-4 3.351207-6 4.027307-4 3.675303-6 5.722370-4 3.840000-6 6.698720-4 4.286600-6 1.074345-3 4.558699-6 1.359166-3 4.800000-6 1.636066-3 5.155808-6 2.192072-3 5.400000-6 2.613154-3 5.654427-6 3.163184-3 6.075000-6 4.158801-3 6.395058-6 5.133505-3 6.834375-6 6.583297-3 7.232698-6 8.272217-3 7.458720-6 9.271670-3 7.691805-6 1.035237-2 7.921753-6 1.166007-2 8.360317-6 1.427277-2 8.649756-6 1.604367-2 8.968095-6 1.833894-2 9.190366-6 1.996614-2 9.520656-6 2.262764-2 9.764763-6 2.456572-2 1.002302-5 2.679509-2 1.033230-5 2.933277-2 1.062256-5 3.176795-2 1.089496-5 3.381626-2 1.115060-5 3.565723-2 1.139052-5 3.703991-2 1.161567-5 3.810475-2 1.172300-5 3.844569-2 1.192898-5 3.874553-2 1.212285-5 3.866242-2 1.230581-5 3.805005-2 1.238822-5 3.760769-2 1.247733-5 3.701234-2 1.263813-5 3.551857-2 1.278888-5 3.355588-2 1.293021-5 3.122522-2 1.306271-5 2.853810-2 1.318693-5 2.557976-2 1.330338-5 2.246086-2 1.341255-5 1.921623-2 1.351490-5 1.589792-2 1.361086-5 1.261394-2 1.370081-5 9.500829-3 1.378515-5 6.707970-3 1.386421-5 4.394139-3 1.392814-5 2.913300-3 1.393833-5 2.721910-3 1.397918-5 2.108941-3 1.400782-5 1.850813-3 1.407297-5 1.940560-3 1.413404-5 3.161108-3 1.419130-5 5.697487-3 1.424498-5 9.747391-3 1.429530-5 1.551669-2 1.434248-5 2.321623-2 1.438671-5 3.306058-2 1.442818-5 4.526850-2 1.446705-5 6.006507-2 1.450349-5 7.768519-2 1.453766-5 9.837846-2 1.462787-5 1.817533-1 1.465427-5 2.177635-1 1.467901-5 2.585394-1 1.470221-5 3.045227-1 1.472395-5 3.561655-1 1.476473-5 4.828093-1 1.480041-5 6.385175-1 1.483163-5 8.244555-1 1.485894-5 1.039371+0 1.488285-5 1.279663+0 1.490376-5 1.539939+0 1.498580-5 3.214388+0 1.501396-5 4.120370+0 1.503998-5 5.154642+0 1.506116-5 6.153651+0 1.507418-5 6.843420+0 1.508720-5 7.593326+0 1.510573-5 8.766533+0 1.512425-5 1.006714+1 1.513351-5 1.076519+1 1.514740-5 1.187096+1 1.516484-5 1.335512+1 1.516902-5 1.372675+1 1.519834-5 1.647666+1 1.521248-5 1.788389+1 1.523949-5 2.067039+1 1.525232-5 2.202055+1 1.526457-5 2.331208+1 1.528148-5 2.508116+1 1.529788-5 2.675659+1 1.531630-5 2.855680+1 1.533169-5 2.996728+1 1.534776-5 3.132411+1 1.537013-5 3.296870+1 1.538705-5 3.399018+1 1.540862-5 3.497730+1 1.542612-5 3.549481+1 1.543607-5 3.567055+1 1.545318-5 3.576693+1 1.547107-5 3.558828+1 1.547946-5 3.540749+1 1.549544-5 3.489572+1 1.551215-5 3.413757+1 1.551863-5 3.378483+1 1.554043-5 3.238134+1 1.555820-5 3.101522+1 1.557543-5 2.953253+1 1.559446-5 2.774958+1 1.561110-5 2.609860+1 1.562500-5 2.467502+1 1.564286-5 2.281180+1 1.566139-5 2.087237+1 1.567991-5 1.895603+1 1.570769-5 1.618407+1 1.572259-5 1.477098+1 1.575219-5 1.215704+1 1.576206-5 1.134937+1 1.577655-5 1.022468+1 1.579521-5 8.886814+0 1.581222-5 7.777365+0 1.583671-5 6.359709+0 1.584604-5 5.874120+0 1.586004-5 5.199805+0 1.587404-5 4.587762+0 1.590203-5 3.537177+0 1.592064-5 2.955360+0 1.593289-5 2.617894+0 1.594495-5 2.318259+0 1.595683-5 2.052532+0 1.598002-5 1.608742+0 1.600267-5 1.259054+0 1.602461-5 9.865806-1 1.604587-5 7.745651-1 1.606646-5 6.097285-1 1.608641-5 4.816406-1 1.612446-5 3.049754-1 1.614259-5 2.451826-1 1.617773-5 1.624845-1 1.621068-5 1.148268-1 1.624156-5 8.899677-2 1.627052-5 7.699433-2 1.629766-5 7.388358-2 1.632311-5 7.655146-2 1.637082-5 9.254775-2 1.641258-5 1.152841-1 1.644911-5 1.401432-1 1.648107-5 1.649157-1 1.653701-5 2.137073-1 1.657897-5 2.540387-1 1.661043-5 2.860771-1 1.665763-5 3.367071-1 1.670708-5 3.927968-1 1.674820-5 4.417090-1 1.678932-5 4.926451-1 1.683044-5 5.456177-1 1.687157-5 6.006539-1 1.691269-5 6.577554-1 1.695381-5 7.168337-1 1.703606-5 8.394727-1 1.707718-5 9.013322-1 1.711830-5 9.614943-1 1.715942-5 1.017647+0 1.720054-5 1.067005+0 1.724167-5 1.106623+0 1.728279-5 1.133822+0 1.730785-5 1.143418+0 1.736503-5 1.143957+0 1.740616-5 1.125860+0 1.744728-5 1.093192+0 1.748840-5 1.047465+0 1.752952-5 9.906284-1 1.756693-5 9.312535-1 1.760834-5 8.597839-1 1.762904-5 8.229228-1 1.771215-5 6.831976-1 1.773045-5 6.579837-1 1.776112-5 6.243781-1 1.778481-5 6.081092-1 1.779927-5 6.033198-1 1.780472-5 6.026550-1 1.783218-5 6.099523-1 1.784833-5 6.234683-1 1.789194-5 6.998328-1 1.789739-5 7.138642-1 1.793555-5 8.426112-1 1.795054-5 9.083633-1 1.797916-5 1.058205+0 1.803767-5 1.460096+0 1.806638-5 1.698197+0 1.809451-5 1.950932+0 1.811560-5 2.149038+0 1.812263-5 2.216053+0 1.814494-5 2.429720+0 1.816445-5 2.615304+0 1.817282-5 2.693608+0 1.820209-5 2.957219+0 1.822302-5 3.131183+0 1.826126-5 3.403965+0 1.827811-5 3.501342+0 1.828835-5 3.552687+0 1.834657-5 3.721274+0 1.836363-5 3.729126+0 1.843488-5 3.571032+0 1.844960-5 3.505637+0 1.846777-5 3.413285+0 1.850031-5 3.224439+0 1.853416-5 3.011759+0 1.859388-5 2.655975+0 1.861589-5 2.546975+0 1.863428-5 2.469772+0 1.865200-5 2.409014+0 1.865791-5 2.391967+0 1.867889-5 2.345090+0 1.869463-5 2.324329+0 1.871499-5 2.316080+0 1.872597-5 2.320292+0 1.874340-5 2.339102+0 1.876350-5 2.378416+0 1.877072-5 2.396882+0 1.879239-5 2.464863+0 1.881542-5 2.555376+0 1.884252-5 2.680966+0 1.890871-5 3.033429+0 1.894435-5 3.223650+0 1.895880-5 3.296543+0 1.898165-5 3.404231+0 1.899626-5 3.467351+0 1.902268-5 3.568255+0 1.906289-5 3.685987+0 1.909300-5 3.745060+0 1.913068-5 3.786147+0 1.914209-5 3.792133+0 1.918769-5 3.791770+0 1.923167-5 3.765096+0 1.935631-5 3.658626+0 1.938088-5 3.644402+0 1.944776-5 3.626340+0 1.950451-5 3.633026+0 1.958105-5 3.663709+0 1.983629-5 3.797967+0 2.013584-5 3.941868+0 2.031114-5 4.054106+0 2.049523-5 4.191772+0 2.086159-5 4.455958+0 2.144747-5 4.853150+0 2.207506-5 5.273061+0 2.256160-5 5.597580+0 2.326326-5 6.064356+0 2.408760-5 6.611420+0 2.478368-5 7.077240+0 2.558245-5 7.612828+0 2.660725-5 8.303893+0 2.786121-5 9.153940+0 2.917427-5 1.004705+1 3.100400-5 1.129336+1 3.276800-5 1.250964+1 3.480808-5 1.391109+1 3.719460-5 1.554935+1 3.897527-5 1.676732+1 3.925415-5 1.703227+1 3.946573-5 1.733081+1 3.964652-5 1.769002+1 4.012715-5 1.893693+1 4.029270-5 1.925086+1 4.040006-5 1.936460+1 4.052837-5 1.939964+1 4.069311-5 1.930962+1 4.105506-5 1.895638+1 4.120820-5 1.890143+1 4.137984-5 1.895791+1 4.160245-5 1.918306+1 4.205350-5 1.977201+1 4.234934-5 2.005675+1 4.362531-5 2.102632+1 4.585221-5 2.284766+1 4.802944-5 2.462376+1 5.030427-5 2.645935+1 5.300159-5 2.859757+1 5.613318-5 3.099670+1 5.900000-5 3.311485+1 6.233693-5 3.547059+1 6.553600-5 3.756903+1 6.873786-5 3.955556+1 7.336530-5 4.211391+1 7.651560-5 4.365265+1 8.012167-5 4.526950+1 8.345067-5 4.663792+1 8.963962-5 4.871624+1 9.508522-5 5.023806+1 9.963676-5 5.126670+1 1.065369-4 5.248241+1 1.144853-4 5.352314+1 1.228800-4 5.428377+1 1.335442-4 5.484687+1 1.515267-4 5.524487+1 1.719454-4 5.521678+1 1.955465-4 5.489339+1 2.249935-4 5.426962+1 2.683799-4 5.317670+1 3.204583-4 5.177131+1 3.833255-4 5.004378+1 4.348957-4 4.858611+1 4.966596-4 4.672903+1 5.412016-4 4.531180+1 5.837810-4 4.381878+1 6.093656-4 4.282599+1 6.367208-4 4.165544+1 6.617549-4 4.045790+1 6.814555-4 3.940522+1 7.018592-4 3.817937+1 7.206774-4 3.690223+1 7.331713-4 3.594916+1 7.491335-4 3.457782+1 7.622860-4 3.328773+1 7.735460-4 3.203002+1 7.826079-4 3.088841+1 7.918115-4 2.957245+1 7.996758-4 2.828556+1 8.064038-4 2.702654+1 8.126741-4 2.568076+1 8.174747-4 2.450424+1 8.216216-4 2.336309+1 8.261223-4 2.198668+1 8.298926-4 2.073741+1 8.329006-4 1.969117+1 8.363281-4 1.845384+1 8.400708-4 1.706865+1 8.444692-4 1.554051+1 8.462745-4 1.503327+1 8.478594-4 1.469467+1 8.485465-4 1.458720+1 8.493004-4 1.450083+1 8.499559-4 1.445484+1 8.506578-4 1.443778+1 8.518544-4 1.449072+1 8.530984-4 1.466191+1 8.538401-4 1.482228+1 8.545974-4 1.503134+1 8.557788-4 1.544776+1 8.563518-4 1.568828+1 8.578355-4 1.642096+1 8.593390-4 1.730897+1 8.650148-4 2.150360+1 8.666553-4 2.281207+1 8.690000-4 2.464748+1 8.704854-4 2.576367+1 8.722302-4 2.701232+1 8.735000-4 2.787373+1 8.756046-4 2.921062+1 8.794996-4 3.140094+1 8.826430-4 3.293838+1 8.874252-4 3.497817+1 8.896716-4 3.584003+1 8.934239-4 3.717359+1 8.993796-4 3.907765+1 9.062585-4 4.103446+1 9.118158-4 4.246778+1 9.202166-4 4.442933+1 9.260263-4 4.565962+1 9.344301-4 4.727580+1 9.406685-4 4.835953+1 9.492498-4 4.970324+1 9.573486-4 5.083750+1 9.660651-4 5.193625+1 9.813777-4 5.359409+1 1.004970-3 5.560732+1 1.026785-3 5.706271+1 1.057052-3 5.869306+1 1.103701-3 6.066104+1 1.148154-3 6.213077+1 1.192357-3 6.326634+1 1.256209-3 6.424704+1 1.338300-3 6.499517+1 1.435222-3 6.536803+1 1.557758-3 6.540107+1 1.677748-3 6.501402+1 1.776244-3 6.425098+1 2.013748-3 6.207827+1 2.220522-3 5.989482+1 2.396087-3 5.803684+1 2.671036-3 5.507520+1 2.980063-3 5.165342+1 3.198895-3 4.934129+1 3.425752-3 4.700636+1 3.787040-3 4.347591+1 4.155173-3 4.010624+1 4.543523-3 3.685372+1 4.886128-3 3.422183+1 5.341821-3 3.106521+1 5.878236-3 2.780910+1 6.503436-3 2.456654+1 7.157409-3 2.171958+1 8.097653-3 1.840506+1 9.275260-3 1.523590+1 1.122535-2 1.158897+1 1.502874-2 7.556325+0 1.925653-2 5.221255+0 2.286205-2 4.019342+0 2.606248-2 3.271636+0 3.034480-2 2.555025+0 3.657167-2 1.873457+0 4.036761-2 1.581066+0 5.316994-2 9.710518-1 6.284370-2 7.164753-1 8.068523-2 4.511195-1 1.020235-1 2.900561-1 1.304119-1 1.813060-1 1.725302-1 1.052735-1 2.441926-1 5.317743-2 4.029603-1 1.968448-2 1.120601+0 2.555998-3 3.384160+0 2.804168-4 1.022000+1 3.074898-5 3.086391+1 3.371581-6 9.320751+1 3.696868-7 2.814822+2 4.053536-8 8.500626+2 4.444613-9 3.162278+3 3.21171-10 1.000000+4 3.21171-11 3.162278+4 3.21171-12 1.000000+5 3.21171-13 1 10000 7 7 2.017900+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 10000 7 0 2.017900+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.931700-7 1.258900-6 3.061600-7 1.584900-6 4.852300-7 1.995300-6 7.690400-7 2.511900-6 1.218800-6 3.162300-6 1.931700-6 3.981100-6 3.061600-6 5.011900-6 4.852200-6 6.309600-6 7.690200-6 7.943300-6 1.218800-5 1.000000-5 1.931600-5 1.258900-5 3.061400-5 1.584900-5 4.851900-5 1.995300-5 7.689600-5 2.511900-5 1.218700-4 3.162300-5 1.931400-4 3.981100-5 3.061000-4 5.011900-5 4.851000-4 6.309600-5 7.687800-4 7.943300-5 1.218300-3 1.000000-4 1.930700-3 1.258900-4 3.059500-3 1.584900-4 4.846100-3 1.995300-4 7.672700-3 2.511900-4 1.214900-2 3.162300-4 1.921500-2 3.981100-4 3.037400-2 5.011900-4 4.793500-2 6.309600-4 7.538100-2 7.943300-4 1.180600-1 1.000000-3 1.838900-1 1.258900-3 2.838500-1 1.584900-3 4.320100-1 1.995300-3 6.449100-1 2.511900-3 9.383700-1 3.162300-3 1.322200+0 3.981100-3 1.794900+0 5.011900-3 2.337800+0 6.309600-3 2.914700+0 7.943300-3 3.470900+0 1.000000-2 3.961400+0 1.258900-2 4.366400+0 1.584900-2 4.686900+0 1.995300-2 4.939500+0 2.511900-2 5.129300+0 3.162300-2 5.251900+0 3.981100-2 5.299600+0 5.011900-2 5.272300+0 6.309600-2 5.174000+0 7.943300-2 5.023800+0 1.000000-1 4.823600+0 1.258900-1 4.586000+0 1.584900-1 4.321500+0 1.995300-1 4.039000+0 2.511900-1 3.747400+0 3.162300-1 3.454000+0 3.981100-1 3.164800+0 5.011900-1 2.883600+0 6.309600-1 2.613000+0 7.943300-1 2.355100+0 1.000000+0 2.110500+0 1.258900+0 1.880100+0 1.584900+0 1.664800+0 1.995300+0 1.464900+0 2.511900+0 1.281200+0 3.162300+0 1.113700+0 3.981100+0 9.624100-1 5.011900+0 8.271200-1 6.309600+0 7.071800-1 7.943300+0 6.017300-1 1.000000+1 5.097700-1 1.258900+1 4.301200-1 1.584900+1 3.616000-1 1.995300+1 3.029900-1 2.511900+1 2.531200-1 3.162300+1 2.108900-1 3.981100+1 1.752800-1 5.011900+1 1.453600-1 6.309600+1 1.203000-1 7.943300+1 9.938400-2 1.000000+2 8.196800-2 1.258900+2 6.750200-2 1.584900+2 5.551200-2 1.995300+2 4.559400-2 2.511900+2 3.740400-2 3.162300+2 3.065200-2 3.981100+2 2.509300-2 5.011900+2 2.052300-2 6.309600+2 1.677100-2 7.943300+2 1.369400-2 1.000000+3 1.117300-2 1.258900+3 9.108900-3 1.584900+3 7.421300-3 1.995300+3 6.042500-3 2.511900+3 4.916900-3 3.162300+3 3.998600-3 3.981100+3 3.250100-3 5.011900+3 2.640200-3 6.309600+3 2.143800-3 7.943300+3 1.739900-3 1.000000+4 1.411400-3 1.258900+4 1.144400-3 1.584900+4 9.275700-4 1.995300+4 7.515000-4 2.511900+4 6.086200-4 3.162300+4 4.927200-4 3.981100+4 3.987500-4 5.011900+4 3.225900-4 6.309600+4 2.608900-4 7.943300+4 2.109200-4 1.000000+5 1.704700-4 1 10000 7 7 2.017900+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584205-4 1.995262-4 1.994172-4 2.511886-4 2.510160-4 3.162278-4 3.159542-4 3.981072-4 3.976738-4 5.011872-4 5.005010-4 6.309573-4 6.298715-4 7.943282-4 7.926106-4 1.000000-3 9.972852-4 1.258925-3 1.254629-3 1.584893-3 1.578142-3 1.995262-3 1.984632-3 2.511886-3 2.495267-3 3.162278-3 3.136306-3 3.981072-3 3.940778-3 5.011872-3 4.949480-3 6.309573-3 6.213677-3 7.943282-3 7.796390-3 1.000000-2 9.776232-3 1.258925-2 1.224911-2 1.584893-2 1.533098-2 1.995262-2 1.916183-2 2.511886-2 2.391050-2 3.162278-2 2.977745-2 3.981072-2 3.700617-2 5.011872-2 4.588153-2 6.309573-2 5.674506-2 7.943282-2 6.993893-2 1.000000-1 8.594083-2 1.258925-1 1.052396-1 1.584893-1 1.284143-1 1.995262-1 1.561348-1 2.511886-1 1.891687-1 3.162278-1 2.284035-1 3.981072-1 2.748452-1 5.011872-1 3.296819-1 6.309573-1 3.942928-1 7.943282-1 4.703078-1 1.000000+0 5.597599-1 1.258925+0 6.651288-1 1.584893+0 7.894665-1 1.995262+0 9.365440-1 2.511886+0 1.111071+0 3.162278+0 1.318757+0 3.981072+0 1.566647+0 5.011872+0 1.863397+0 6.309573+0 2.219545+0 7.943282+0 2.647998+0 1.000000+1 3.164570+0 1.258925+1 3.788582+0 1.584893+1 4.543699+0 1.995262+1 5.458840+0 2.511886+1 6.569565+0 3.162278+1 7.919496+0 3.981072+1 9.561943+0 5.011872+1 1.156270+1 6.309573+1 1.400231+1 7.943282+1 1.697990+1 1.000000+2 2.061725+1 1.258925+2 2.506451+1 1.584893+2 3.050613+1 1.995262+2 3.716932+1 2.511886+2 4.533441+1 3.162278+2 5.534699+1 3.981072+2 6.763142+1 5.011872+2 8.271456+1 6.309573+2 1.012435+2 7.943282+2 1.240202+2 1.000000+3 1.520295+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 10000 7 9 2.017900+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090665-8 7.943282-5 1.728482-8 1.000000-4 2.739249-8 1.258925-4 4.340996-8 1.584893-4 6.878332-8 1.995262-4 1.089847-7 2.511886-4 1.726927-7 3.162278-4 2.735566-7 3.981072-4 4.333354-7 5.011872-4 6.862171-7 6.309573-4 1.085808-6 7.943282-4 1.717658-6 1.000000-3 2.714777-6 1.258925-3 4.296412-6 1.584893-3 6.751498-6 1.995262-3 1.063029-5 2.511886-3 1.661951-5 3.162278-3 2.597179-5 3.981072-3 4.029331-5 5.011872-3 6.239232-5 6.309573-3 9.589603-5 7.943282-3 1.468927-4 1.000000-2 2.237677-4 1.258925-2 3.401400-4 1.584893-2 5.179565-4 1.995262-2 7.907946-4 2.511886-2 1.208360-3 3.162278-2 1.845322-3 3.981072-2 2.804548-3 5.011872-2 4.237195-3 6.309573-2 6.350676-3 7.943282-2 9.493896-3 1.000000-1 1.405917-2 1.258925-1 2.065290-2 1.584893-1 3.007505-2 1.995262-1 4.339141-2 2.511886-1 6.201997-2 3.162278-1 8.782423-2 3.981072-1 1.232620-1 5.011872-1 1.715053-1 6.309573-1 2.366645-1 7.943282-1 3.240204-1 1.000000+0 4.402401-1 1.258925+0 5.937966-1 1.584893+0 7.954267-1 1.995262+0 1.058718+0 2.511886+0 1.400815+0 3.162278+0 1.843521+0 3.981072+0 2.414424+0 5.011872+0 3.148475+0 6.309573+0 4.090029+0 7.943282+0 5.295285+0 1.000000+1 6.835430+0 1.258925+1 8.800672+0 1.584893+1 1.130523+1 1.995262+1 1.449378+1 2.511886+1 1.854930+1 3.162278+1 2.370328+1 3.981072+1 3.024877+1 5.011872+1 3.855603+1 6.309573+1 4.909343+1 7.943282+1 6.245293+1 1.000000+2 7.938275+1 1.258925+2 1.008280+2 1.584893+2 1.279832+2 1.995262+2 1.623569+2 2.511886+2 2.058542+2 3.162278+2 2.608808+2 3.981072+2 3.304757+2 5.011872+2 4.184727+2 6.309573+2 5.297138+2 7.943282+2 6.703081+2 1.000000+3 8.479705+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 10000 7 0 2.017900+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 1.996000-5 3.806428+6 2.008000-5 3.861473+6 2.008000-5 5.741373+6 2.048000-5 6.023390+6 2.097500-5 6.344965+6 2.150000-5 6.655340+6 2.213095-5 6.991441+6 2.290868-5 7.353535+6 2.371374-5 7.676984+6 2.454709-5 7.960920+6 2.460000-5 7.978026+6 2.540973-5 8.209124+6 2.551200-5 8.236555+6 2.650000-5 8.466540+6 2.660725-5 8.489592+6 2.770000-5 8.686906+6 2.786121-5 8.713333+6 2.900000-5 8.864844+6 2.917427-5 8.885305+6 3.054921-5 9.007495+6 3.080000-5 9.026159+6 3.235937-5 9.099931+6 3.273407-5 9.112758+6 3.450000-5 9.132915+6 3.467369-5 9.133001+6 3.693800-5 9.091788+6 3.935501-5 8.989269+6 4.168694-5 8.844084+6 4.220000-5 8.809960+6 4.323000-5 8.728060+6 4.323000-5 8.988022+6 4.410000-5 8.944271+6 4.466836-5 8.916133+6 4.470000-5 8.914395+6 4.518559-5 8.887137+6 4.570882-5 8.851672+6 4.650000-5 8.798352+6 4.740000-5 8.738879+6 4.786301-5 8.708430+6 4.841724-5 8.669692+6 4.850000-5 8.662976+6 4.960000-5 8.573781+6 5.069907-5 8.486843+6 5.080000-5 8.478514+6 5.188000-5 8.389283+6 5.230000-5 8.351183+6 5.370318-5 8.225667+6 5.400000-5 8.199490+6 5.500000-5 8.108438+6 5.688529-5 7.924983+6 5.754399-5 7.862539+6 5.821032-5 7.797752+6 5.900000-5 7.716227+6 6.095369-5 7.520764+6 6.165950-5 7.449300+6 6.309573-5 7.297237+6 6.456542-5 7.147172+6 6.531306-5 7.070673+6 6.839116-5 6.749070+6 6.918310-5 6.667550+6 7.161434-5 6.414028+6 7.244360-5 6.331026+6 7.328245-5 6.246645+6 7.500000-5 6.070311+6 7.673615-5 5.899765+6 7.762471-5 5.813577+6 7.900000-5 5.677667+6 8.128305-5 5.462424+6 8.222426-5 5.375801+6 8.317638-5 5.286554+6 8.609938-5 5.025857+6 8.709636-5 4.940170+6 8.810489-5 4.852333+6 9.120108-5 4.596405+6 9.225714-5 4.512734+6 9.332543-5 4.427415+6 9.660509-5 4.179496+6 9.800000-5 4.079119+6 9.900000-5 4.007138+6 1.035142-4 3.704067+6 1.047129-4 3.628560+6 1.052000-4 3.597601+6 1.109175-4 3.260843+6 1.122018-4 3.191162+6 1.190000-4 2.846557+6 1.202264-4 2.789944+6 1.216186-4 2.727184+6 1.288250-4 2.428352+6 1.318257-4 2.316491+6 1.380384-4 2.104379+6 1.412538-4 2.005198+6 1.462177-4 1.864222+6 1.480000-4 1.816419+6 1.566751-4 1.606451+6 1.603245-4 1.528346+6 1.621810-4 1.490446+6 1.737801-4 1.279813+6 1.819701-4 1.154982+6 1.905461-4 1.041169+6 1.927525-4 1.014356+6 2.041738-4 8.898086+5 2.113489-4 8.218067+5 2.162719-4 7.791390+5 2.290868-4 6.815495+5 2.371374-4 6.284382+5 2.400000-4 6.108694+5 2.511886-4 5.482644+5 2.638800-4 4.873202+5 2.660725-4 4.777442+5 2.754229-4 4.395150+5 2.917427-4 3.820921+5 2.985383-4 3.612522+5 3.054921-4 3.414055+5 3.273407-4 2.878700+5 3.311311-4 2.797999+5 3.467369-4 2.495025+5 3.672823-4 2.161148+5 3.758374-4 2.039567+5 4.027170-4 1.714692+5 4.120975-4 1.618195+5 4.415704-4 1.358310+5 4.677351-4 1.174370+5 4.700000-4 1.160012+5 5.128614-4 9.281953+4 5.370318-4 8.254150+4 5.754399-4 6.906930+4 6.000000-4 6.202121+4 6.165950-4 5.779836+4 6.456542-4 5.126057+4 6.760830-4 4.546837+4 6.918310-4 4.281544+4 7.328245-4 3.678430+4 7.673615-4 3.258432+4 7.762471-4 3.160883+4 8.413951-4 2.549442+4 8.581800-4 2.418819+4 8.581800-4 2.966762+5 8.596000-4 3.025700+5 8.610000-4 3.071440+5 8.632000-4 3.122379+5 8.655000-4 3.156740+5 8.690000-4 3.186877+5 8.735000-4 3.203388+5 8.753400-4 3.203556+5 8.810489-4 3.204104+5 8.912509-4 3.181975+5 9.015711-4 3.144491+5 9.150000-4 3.078016+5 9.280000-4 2.998183+5 9.440609-4 2.885720+5 9.549926-4 2.802132+5 9.700000-4 2.692766+5 1.011579-3 2.407919+5 1.030000-3 2.294797+5 1.071519-3 2.078929+5 1.148154-3 1.758664+5 1.161449-3 1.710314+5 1.177900-3 1.652996+5 1.202264-3 1.569601+5 1.288250-3 1.318057+5 1.338300-3 1.195517+5 1.348963-3 1.171457+5 1.412538-3 1.041098+5 1.513561-3 8.722615+4 1.548817-3 8.209699+4 1.566751-3 7.964670+4 1.621810-3 7.272096+4 1.698244-3 6.441418+4 1.798871-3 5.523116+4 1.819701-3 5.355812+4 1.883649-3 4.883371+4 1.972423-3 4.317630+4 2.113489-3 3.575339+4 2.137962-3 3.464600+4 2.238721-3 3.054906+4 2.317395-3 2.779753+4 2.454709-3 2.369736+4 2.483133-3 2.295246+4 2.600160-3 2.019979+4 2.660725-3 1.894984+4 2.884032-3 1.510083+4 2.888100-3 1.504094+4 3.019952-3 1.326231+4 3.198895-3 1.127568+4 3.311311-3 1.021381+4 3.388442-3 9.562070+3 3.548134-3 8.379957+3 3.845918-3 6.652031+3 3.890451-3 6.433136+3 4.000000-3 5.934340+3 4.265795-3 4.921696+3 4.623810-3 3.893420+3 4.731513-3 3.638049+3 4.954502-3 3.176158+3 5.248075-3 2.680368+3 5.559043-3 2.261994+3 5.821032-3 1.971312+3 6.456542-3 1.446630+3 6.683439-3 1.304852+3 6.760830-3 1.260720+3 7.079458-3 1.096804+3 7.585776-3 8.900141+2 8.035261-3 7.478097+2 8.317638-3 6.735935+2 8.413951-3 6.502773+2 9.660509-3 4.261024+2 9.885531-3 3.970988+2 1.023293-2 3.572532+2 1.047129-2 3.326932+2 1.174898-2 2.330193+2 1.258925-2 1.881699+2 1.273503-2 1.815834+2 1.380384-2 1.411465+2 1.462177-2 1.179030+2 1.603245-2 8.839364+1 1.737801-2 6.853064+1 1.798871-2 6.144881+1 1.819701-2 5.925473+1 2.041738-2 4.118424+1 2.290868-2 2.854350+1 2.371374-2 2.556907+1 2.426610-2 2.376041+1 2.540973-2 2.051783+1 2.917427-2 1.316067+1 3.349654-2 8.439861+0 3.801894-2 5.598731+0 4.570882-2 3.081154+0 4.731513-2 2.752714+0 5.188000-2 2.038093+0 5.623413-2 1.566613+0 6.165950-2 1.159786+0 6.998420-2 7.670575-1 7.161434-2 7.114332-1 7.585776-2 5.893862-1 8.810489-2 3.613214-1 9.120108-2 3.227412-1 1.047129-1 2.054460-1 1.083927-1 1.835100-1 1.202264-1 1.307813-1 1.216186-1 1.259854-1 1.258925-1 1.126281-1 1.273503-1 1.084980-1 1.396368-1 8.047937-2 1.445440-1 7.195032-2 1.548817-1 5.750828-2 1.584893-1 5.341105-2 1.621810-1 4.960568-2 1.640590-1 4.780695-2 1.798871-1 3.557714-2 1.862087-1 3.184575-2 1.905461-1 2.957817-2 1.949845-1 2.749762-2 2.018366-1 2.465002-2 2.089296-1 2.209729-2 2.238721-1 1.775755-2 2.299100-1 1.634268-2 2.344229-1 1.538181-2 2.483133-1 1.285518-2 2.570396-1 1.154305-2 2.600160-1 1.114312-2 2.630268-1 1.075705-2 2.722701-1 9.678259-3 2.884032-1 8.115286-3 2.917427-1 7.834396-3 2.985383-1 7.311335-3 3.000000-1 7.205071-3 3.198895-1 5.943880-3 3.273407-1 5.547464-3 3.349654-1 5.184565-3 3.548134-1 4.378676-3 3.630781-1 4.092560-3 3.715352-1 3.830544-3 3.845918-1 3.469077-3 3.935501-1 3.247255-3 4.027170-1 3.039618-3 4.120975-1 2.849541-3 4.168694-1 2.759130-3 4.315191-1 2.504748-3 4.466836-1 2.273821-3 4.518559-1 2.203460-3 4.731513-1 1.943487-3 4.897788-1 1.768843-3 4.954502-1 1.715651-3 5.188000-1 1.518706-3 5.308844-1 1.428881-3 5.370318-1 1.385981-3 5.432503-1 1.345533-3 5.688529-1 1.195447-3 5.754399-1 1.160619-3 5.888437-1 1.093975-3 5.956621-1 1.063029-3 6.237348-1 9.479462-4 6.456542-1 8.698870-4 6.531306-1 8.460716-4 6.760830-1 7.785901-4 6.839117-1 7.573143-4 6.998420-1 7.164913-4 7.079458-1 6.975245-4 7.328245-1 6.436845-4 7.413102-1 6.266777-4 7.585776-1 5.940003-4 7.673615-1 5.788725-4 7.943282-1 5.358616-4 8.035261-1 5.222469-4 8.128305-1 5.089782-4 8.317638-1 4.839683-4 8.609938-1 4.487643-4 8.912509-1 4.161212-4 8.913100-1 4.160609-4 9.225714-1 3.881242-4 9.549926-1 3.637665-4 9.590200-1 3.609051-4 9.691100-1 3.530526-4 9.793000-1 3.453755-4 9.896000-1 3.366335-4 9.947800-1 3.323545-4 1.023293+0 3.083900-4 1.047129+0 2.914105-4 1.059700+0 2.829818-4 1.096478+0 2.622414-4 1.101500+0 2.595815-4 1.109175+0 2.555912-4 1.136900+0 2.431153-4 1.148154+0 2.383094-4 1.174898+0 2.283182-4 1.216186+0 2.141116-4 1.230269+0 2.098839-4 1.273503+0 1.976956-4 1.318257+0 1.868225-4 1.500000+0 1.512031-4 1.531087+0 1.459841-4 1.640590+0 1.296981-4 1.798871+0 1.117851-4 2.089296+0 8.867222-5 2.113489+0 8.716492-5 2.371374+0 7.343169-5 2.691535+0 6.127040-5 3.090295+0 5.065942-5 3.589219+0 4.152839-5 3.630781+0 4.091993-5 4.265795+0 3.328081-5 4.315191+0 3.280947-5 5.069907+0 2.687040-5 5.128614+0 2.650220-5 6.165950+0 2.125232-5 6.309573+0 2.069062-5 7.673615+0 1.647767-5 7.762471+0 1.626356-5 7.943282+0 1.584425-5 9.660509+0 1.268963-5 9.772372+0 1.252952-5 1.000000+1 1.221584-5 1.318257+1 9.011360-6 1.333521+1 8.900400-6 1.348963+1 8.790943-6 1.840772+1 6.294215-6 1.862087+1 6.218288-6 1.883649+1 6.143361-6 2.722701+1 4.168054-6 2.754229+1 4.118681-6 2.800000+1 4.049085-6 4.570882+1 2.439389-6 4.623810+1 2.410909-6 4.677351+1 2.382784-6 9.120108+1 1.206438-6 9.225714+1 1.192490-6 9.332543+1 1.178711-6 1.819701+2 6.006965-7 1.840772+2 5.937922-7 1.862087+2 5.869693-7 7.244360+2 1.500935-7 7.328245+2 1.483747-7 7.413102+2 1.466759-7 1.000000+5 1.086040-9 1 10000 7 0 2.017900+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 1.996000-5 1.996000-5 2.008000-5 1.996000-5 2.008000-5 1.999929-5 4.323000-5 1.999994-5 4.323000-5 2.067182-5 5.230000-5 2.126397-5 6.456542-5 2.186217-5 9.900000-5 2.322316-5 1.318257-4 2.439768-5 1.621810-4 2.532982-5 2.041738-4 2.640746-5 2.660725-4 2.779517-5 3.311311-4 2.907538-5 3.758374-4 2.982796-5 4.415704-4 3.076699-5 5.370318-4 3.189934-5 6.456542-4 3.297698-5 7.762471-4 3.403681-5 8.581800-4 3.458340-5 8.581800-4 4.911414-5 8.810489-4 4.930056-5 1.011579-3 4.943832-5 1.972423-3 4.971238-5 5.821032-3 4.989963-5 5.623413-2 4.999329-5 1.000000+5 5.000285-5 1 10000 7 7 2.017900+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.996000-5 0.0 8.581800-4 0.0 8.581800-4 1.068088-5 8.655000-4 1.075784-5 8.810489-4 1.081044-5 9.280000-4 1.086853-5 1.621810-3 1.094482-5 3.548134-3 1.098217-5 1.000000+5 1.098504-5 1 10000 7 9 2.017900+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.996000-5 0.0 2.008000-5 1.200000-7 2.008000-5 8.070835-8 4.323000-5 2.323006-5 4.323000-5 2.255818-5 5.370318-5 3.236132-5 7.500000-5 5.270530-5 1.480000-4 1.230827-4 2.985383-4 2.700801-4 6.000000-4 5.674546-4 8.581800-4 8.235966-4 8.581800-4 7.983850-4 1.000000+5 1.000000+5 1 10000 7 0 2.017900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 8.581800-4 2.724880+5 8.596000-4 2.784880+5 8.610000-4 2.831660+5 8.632000-4 2.884220+5 8.655000-4 2.920260+5 8.690000-4 2.952920+5 8.735000-4 2.972620+5 8.810489-4 2.978569+5 8.912509-4 2.963347+5 9.015711-4 2.932553+5 9.150000-4 2.874360+5 9.280000-4 2.802120+5 9.440609-4 2.698499+5 9.700000-4 2.518700+5 1.030000-3 2.146720+5 1.071519-3 1.945921+5 1.177900-3 1.550070+5 1.288250-3 1.237482+5 1.513561-3 8.204920+4 1.698244-3 6.064946+4 1.972423-3 4.069525+4 2.317395-3 2.622040+4 2.660725-3 1.788427+4 3.198895-3 1.064699+4 3.845918-3 6.283175+3 4.623810-3 3.678217+3 5.559043-3 2.137222+3 6.760830-3 1.191322+3 8.317638-3 6.365659+2 1.023293-2 3.376331+2 1.273503-2 1.716159+2 1.603245-2 8.353952+1 2.041738-2 3.892078+1 2.540973-2 1.938975+1 3.349654-2 7.975322+0 4.570882-2 2.911348+0 6.998420-2 7.247185-1 1.202264-1 1.235411-1 1.548817-1 5.432238-2 1.905461-1 2.793894-2 2.238721-1 1.677272-2 2.570396-1 1.090258-2 2.917427-1 7.399659-3 3.273407-1 5.239752-3 3.630781-1 3.865676-3 4.027170-1 2.871174-3 4.466836-1 2.147859-3 4.897788-1 1.670842-3 5.370318-1 1.309193-3 5.888437-1 1.033369-3 6.456542-1 8.216959-4 6.998420-1 6.767996-4 7.585776-1 5.610926-4 8.128305-1 4.807738-4 8.913100-1 3.930200-4 9.225714-1 3.666311-4 9.590200-1 3.409200-4 9.793000-1 3.262500-4 9.947800-1 3.139500-4 1.023293+0 2.913120-4 1.059700+0 2.673100-4 1.109175+0 2.414365-4 1.148154+0 2.251114-4 1.216186+0 2.022544-4 1.273503+0 1.867474-4 1.500000+0 1.428300-4 1.640590+0 1.225157-4 1.798871+0 1.055949-4 2.089296+0 8.376179-5 2.371374+0 6.936528-5 2.691535+0 5.787741-5 3.090295+0 4.785400-5 3.589219+0 3.922869-5 4.265795+0 3.143781-5 5.069907+0 2.538235-5 6.165950+0 2.007535-5 7.673615+0 1.556501-5 9.660509+0 1.198679-5 1.318257+1 8.512265-6 1.840772+1 5.945617-6 2.722701+1 3.937218-6 4.570882+1 2.304294-6 9.120108+1 1.139623-6 1.819701+2 5.674305-7 7.244360+2 1.417812-7 1.000000+5 1.025900-9 1 10000 7 0 2.017900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 8.581800-4 5.040400-5 1.000000+5 5.040400-5 1 10000 7 7 2.017900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.581800-4 1.162900-5 1.000000+5 1.162900-5 1 10000 7 9 2.017900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.581800-4 7.961470-4 1.000000+5 1.000000+5 1 10000 7 0 2.017900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 4.323000-5 2.599620+5 4.410000-5 2.833080+5 4.470000-5 2.988540+5 4.570882-5 3.239620+5 4.650000-5 3.426760+5 4.740000-5 3.629480+5 4.850000-5 3.862600+5 4.960000-5 4.078960+5 5.080000-5 4.296880+5 5.230000-5 4.544040+5 5.370318-5 4.751459+5 5.500000-5 4.923920+5 5.688529-5 5.143788+5 5.900000-5 5.351240+5 6.095369-5 5.510028+5 6.309573-5 5.652004+5 6.531306-5 5.768129+5 6.839116-5 5.884951+5 7.161434-5 5.959892+5 7.500000-5 5.996180+5 7.900000-5 5.994460+5 8.317638-5 5.952036+5 8.810489-5 5.861274+5 9.332543-5 5.730224+5 9.900000-5 5.559740+5 1.052000-4 5.351625+5 1.122018-4 5.101153+5 1.202264-4 4.807322+5 1.288250-4 4.495403+5 1.380384-4 4.172983+5 1.480000-4 3.844920+5 1.603245-4 3.473494+5 1.737801-4 3.113080+5 1.905461-4 2.725717+5 2.113489-4 2.328882+5 2.371374-4 1.939352+5 2.660725-4 1.603111+5 2.985383-4 1.315324+5 3.311311-4 1.093090+5 3.672823-4 9.020098+4 4.120975-4 7.225720+4 4.677351-4 5.612657+4 5.370318-4 4.228066+4 6.165950-4 3.162830+4 6.918310-4 2.466858+4 7.762471-4 1.909960+4 8.810489-4 1.429885+4 1.011579-3 1.034646+4 1.161449-3 7.429144+3 1.338300-3 5.247765+3 1.566751-3 3.540113+3 1.819701-3 2.418149+3 2.113489-3 1.639824+3 2.454709-3 1.103932+3 2.884032-3 7.154848+2 3.388442-3 4.604006+2 4.000000-3 2.902855+2 4.731513-3 1.806193+2 5.559043-3 1.137279+2 6.683439-3 6.647471+1 8.035261-3 3.854730+1 9.660509-3 2.218372+1 1.174898-2 1.223979+1 1.462177-2 6.246815+0 1.819701-2 3.162999+0 2.290868-2 1.533006+0 2.917427-2 7.109185-1 3.801894-2 3.040064-1 5.188000-2 1.112031-1 1.273503-1 5.963133-3 1.621810-1 2.730219-3 1.949845-1 1.515417-3 2.299100-1 9.014500-4 2.630268-1 5.937554-4 2.985383-1 4.036235-4 3.349654-1 2.861307-4 3.715352-1 2.113043-4 4.120975-1 1.571395-4 4.518559-1 1.215496-4 4.954502-1 9.465556-5 5.432503-1 7.423808-5 5.956621-1 5.865182-5 6.531306-1 4.668298-5 7.079458-1 3.848815-5 7.673615-1 3.194141-5 8.317638-1 2.671792-5 8.913100-1 2.297000-5 9.225714-1 2.142756-5 9.590200-1 1.992500-5 9.793000-1 1.906800-5 9.947800-1 1.834900-5 1.023293+0 1.702617-5 1.059700+0 1.562400-5 1.109175+0 1.411135-5 1.148154+0 1.315745-5 1.216186+0 1.182073-5 1.273503+0 1.091463-5 1.500000+0 8.347800-6 1.640590+0 7.160676-6 1.798871+0 6.171473-6 2.089296+0 4.895603-6 2.371374+0 4.054133-6 2.691535+0 3.382746-6 3.090295+0 2.796949-6 3.589219+0 2.292759-6 4.265795+0 1.837433-6 5.069907+0 1.483558-6 6.165950+0 1.173412-6 7.762471+0 8.978056-7 9.772372+0 6.916358-7 1.333521+1 4.913265-7 1.862087+1 3.432745-7 2.754229+1 2.273674-7 4.623810+1 1.330939-7 9.225714+1 6.583618-8 1.840772+2 3.278238-8 7.328245+2 8.192009-9 1.000000+5 5.99580-11 1 10000 7 0 2.017900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 4.323000-5 4.323000-5 1.000000+5 4.323000-5 1 10000 7 9 2.017900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 4.323000-5 0.0 1.000000+5 1.000000+5 1 10000 7 0 2.017900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.008000-5 1.879900+6 2.048000-5 1.975100+6 2.097500-5 2.083200+6 2.150000-5 2.187700+6 2.213095-5 2.300900+6 2.290868-5 2.423400+6 2.371374-5 2.533000+6 2.454709-5 2.629200+6 2.540973-5 2.713500+6 2.650000-5 2.801400+6 2.770000-5 2.877200+6 2.900000-5 2.938500+6 3.054921-5 2.988200+6 3.235937-5 3.021300+6 3.450000-5 3.033600+6 3.693800-5 3.021700+6 3.935501-5 2.989900+6 4.168694-5 2.943900+6 4.466836-5 2.869800+6 4.786301-5 2.777700+6 5.069907-5 2.687300+6 5.400000-5 2.574600+6 5.754399-5 2.449100+6 6.095369-5 2.326000+6 6.456542-5 2.194900+6 6.839116-5 2.057400+6 7.244360-5 1.915400+6 7.673615-5 1.771000+6 8.128305-5 1.626200+6 8.609938-5 1.483000+6 9.120108-5 1.343500+6 9.660509-5 1.209600+6 1.035142-4 1.058200+6 1.109175-4 9.188000+5 1.190000-4 7.904400+5 1.288250-4 6.623400+5 1.412538-4 5.354700+5 1.566751-4 4.182200+5 1.737801-4 3.244400+5 1.927525-4 2.501500+5 2.162719-4 1.859100+5 2.400000-4 1.410300+5 2.638800-4 1.088900+5 2.917427-4 8.224200+4 3.273407-4 5.913500+4 3.758374-4 3.948000+4 4.415704-4 2.445900+4 5.128614-4 1.556300+4 5.754399-4 1.091400+4 6.456542-4 7.599800+3 7.328245-4 5.066000+3 8.413951-4 3.229300+3 9.549926-4 2.122700+3 1.148154-3 1.142900+3 1.348963-3 6.601600+2 1.548817-3 4.097500+2 1.798871-3 2.425700+2 2.137962-3 1.313800+2 2.483133-3 7.669700+1 2.888100-3 4.422900+1 3.311311-3 2.668200+1 3.890451-3 1.459800+1 4.623810-3 7.597300+0 5.248075-3 4.676700+0 6.456542-3 2.092400+0 7.585776-3 1.112400+0 9.885531-3 3.897477-1 1.258925-2 1.483939-1 1.737801-2 4.058634-2 2.371374-2 1.154092-2 4.731513-2 6.971073-4 6.165950-2 2.391865-4 7.585776-2 1.042259-4 9.120108-2 5.016793-5 1.083927-1 2.547200-5 1.258925-1 1.425482-5 1.445440-1 8.402515-6 1.640590-1 5.210078-6 1.862087-1 3.254814-6 2.089296-1 2.136316-6 2.344229-1 1.412155-6 2.600160-1 9.793312-7 2.884032-1 6.838469-7 3.198895-1 4.810793-7 3.548134-1 3.410519-7 3.935501-1 2.436869-7 4.315191-1 1.819418-7 4.731513-1 1.367620-7 5.188000-1 1.035881-7 5.688529-1 7.905348-8 6.237348-1 6.074978-8 6.839117-1 4.701313-8 7.413102-1 3.781323-8 8.035261-1 3.062498-8 8.912509-1 2.354982-8 9.225714-1 2.166759-8 9.691100-1 1.931100-8 9.896000-1 1.830300-8 1.023293+0 1.671121-8 1.059700+0 1.531400-8 1.101500+0 1.402700-8 1.136900+0 1.313100-8 1.174898+0 1.231999-8 1.230269+0 1.134519-8 1.318257+0 1.011446-8 1.500000+0 8.203300-9 1.640590+0 7.037602-9 1.798871+0 6.065113-9 2.089296+0 4.810910-9 2.371374+0 3.984060-9 2.691535+0 3.324187-9 3.090295+0 2.748556-9 3.630781+0 2.219564-9 4.315191+0 1.779623-9 5.128614+0 1.437619-9 6.309573+0 1.122191-9 7.943282+0 8.59302-10 1.000000+1 6.62450-10 1.348963+1 4.76830-10 1.883649+1 3.33242-10 2.800000+1 2.19620-10 4.677351+1 1.29258-10 9.332543+1 6.39463-11 1.862087+2 3.18437-11 7.413102+2 7.95778-12 1.000000+5 5.89210-14 1 10000 7 0 2.017900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.008000-5 2.008000-5 1.000000+5 2.008000-5 1 10000 7 9 2.017900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.008000-5 0.0 1.000000+5 1.000000+5 1 10000 7 0 2.017900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.996000-5 3.806428+6 2.048000-5 4.048290+6 2.097500-5 4.261765+6 2.150000-5 4.467640+6 2.213095-5 4.690541+6 2.290868-5 4.930135+6 2.371374-5 5.143984+6 2.460000-5 5.343648+6 2.551200-5 5.514772+6 2.660725-5 5.681363+6 2.786121-5 5.828448+6 2.917427-5 5.941126+6 3.080000-5 6.033280+6 3.273407-5 6.089251+6 3.467369-5 6.100278+6 3.693800-5 6.070088+6 3.935501-5 5.999369+6 4.220000-5 5.879320+6 4.518559-5 5.722139+6 4.841724-5 5.525838+6 5.188000-5 5.296268+6 5.500000-5 5.078320+6 5.821032-5 4.846413+6 6.165950-5 4.594437+6 6.531306-5 4.327177+6 6.918310-5 4.049009+6 7.328245-5 3.763242+6 7.762471-5 3.473029+6 8.222426-5 3.183157+6 8.709636-5 2.898252+6 9.225714-5 2.621531+6 9.800000-5 2.343756+6 1.047129-4 2.058258+6 1.122018-4 1.784600+6 1.216186-4 1.498788+6 1.318257-4 1.249915+6 1.462177-4 9.810903+5 1.621810-4 7.642099+5 1.819701-4 5.746566+5 2.041738-4 4.287288+5 2.290868-4 3.170971+5 2.511886-4 2.473875+5 2.754229-4 1.918384+5 3.054921-4 1.430964+5 3.467369-4 9.916779+4 4.027170-4 6.377847+4 4.700000-4 4.017040+4 5.370318-4 2.675724+4 6.000000-4 1.895664+4 6.760830-4 1.298496+4 7.673615-4 8.629796+3 8.753400-4 5.602588+3 1.011579-3 3.457379+3 1.202264-3 1.929679+3 1.412538-3 1.111374+3 1.621810-3 6.876956+2 1.883649-3 4.058807+2 2.238721-3 2.191305+2 2.600160-3 1.275256+2 3.019952-3 7.367420+1 3.548134-3 4.042819+1 4.265795-3 2.018921+1 4.954502-3 1.140817+1 5.821032-3 6.110074+0 7.079458-3 2.841034+0 8.413951-3 1.434578+0 1.047129-2 5.987285-1 1.380384-2 1.971362-1 1.798871-2 6.750093-2 2.426610-2 1.993623-2 5.623413-2 6.357909-4 7.161434-2 2.374348-4 8.810489-2 1.027944-4 1.047129-1 5.152904-5 1.216186-1 2.852015-5 1.396368-1 1.663887-5 1.584893-1 1.021756-5 1.798871-1 6.323543-6 2.018366-1 4.119295-6 2.238721-1 2.821551-6 2.483133-1 1.947037-6 2.722701-1 1.409661-6 3.000000-1 1.010700-6 3.273407-1 7.545660-7 3.548134-1 5.796439-7 3.845918-1 4.481581-7 4.168694-1 3.489226-7 4.518559-1 2.736019-7 4.897788-1 2.160928-7 5.308844-1 1.719158-7 5.754399-1 1.377918-7 6.237348-1 1.113004-7 6.760830-1 9.060892-8 7.328245-1 7.431541-8 7.943282-1 6.139225-8 8.609938-1 5.108014-8 9.549926-1 4.066520-8 9.947800-1 3.746600-8 1.047129+0 3.331896-8 1.096478+0 3.023544-8 1.148154+0 2.764986-8 1.230269+0 2.436850-8 1.531087+0 1.647061-8 1.640590+0 1.464167-8 1.798871+0 1.262095-8 2.113489+0 9.841888-9 2.371374+0 8.293489-9 2.691535+0 6.919917-9 3.090295+0 5.721568-9 3.589219+0 4.690252-9 4.265795+0 3.758818-9 5.069907+0 3.034855-9 6.165950+0 2.400351-9 7.673615+0 1.861003-9 9.660509+0 1.433141-9 1.318257+1 1.017743-9 1.840772+1 7.10875-10 2.722701+1 4.70745-10 4.570882+1 2.75500-10 9.120108+1 1.36256-10 1.819701+2 6.78428-11 7.244360+2 1.69522-11 1.000000+5 1.22650-13 1 10000 7 0 2.017900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.996000-5 1.996000-5 1.000000+5 1.996000-5 1 10000 7 9 2.017900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.996000-5 0.0 1.000000+5 1.000000+5 1 10000 7 0 2.017900+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.757550-9 1.028750+0 3.757550-8 1.036640+0 3.757550-7 1.043800+0 1.216680-6 1.046400+0 1.692780-6 1.048300+0 2.107560-6 1.051200+0 2.858860-6 1.054080+0 3.757550-6 1.057700+0 5.121750-6 1.061100+0 6.662070-6 1.065100+0 8.819750-6 1.070400+0 1.230430-5 1.076200+0 1.700440-5 1.080600+0 2.123570-5 1.087100+0 2.861180-5 1.093710+0 3.757550-5 1.102600+0 5.210190-5 1.110700+0 6.795770-5 1.120600+0 9.091870-5 1.133300+0 1.264310-4 1.147500+0 1.745900-4 1.158200+0 2.169790-4 1.174100+0 2.899460-4 1.190110+0 3.757550-4 1.205100+0 4.674300-4 1.227500+0 6.252610-4 1.250000+0 8.090000-4 1.281300+0 1.106680-3 1.308600+0 1.406040-3 1.332500+0 1.697960-3 1.374400+0 2.275060-3 1.405800+0 2.760110-3 1.452900+0 3.567400-3 1.500000+0 4.464000-3 1.562500+0 5.777970-3 1.617200+0 7.031760-3 1.712900+0 9.428980-3 1.784700+0 1.137180-2 1.892300+0 1.447060-2 2.000000+0 1.775000-2 2.044000+0 1.913000-2 2.163500+0 2.295710-2 2.372600+0 2.983380-2 2.647100+0 3.898450-2 3.000000+0 5.068000-2 3.437500+0 6.482510-2 4.000000+0 8.214000-2 4.750000+0 1.034750-1 5.000000+0 1.102000-1 6.000000+0 1.353000-1 7.000000+0 1.576000-1 8.000000+0 1.778000-1 9.000000+0 1.961000-1 1.000000+1 2.127000-1 1.100000+1 2.277000-1 1.200000+1 2.416000-1 1.300000+1 2.544000-1 1.400000+1 2.664000-1 1.500000+1 2.775000-1 1.600000+1 2.880000-1 1.800000+1 3.073000-1 2.000000+1 3.245000-1 2.200000+1 3.401000-1 2.400000+1 3.543000-1 2.600000+1 3.673000-1 2.800000+1 3.793000-1 3.000000+1 3.904000-1 4.000000+1 4.361000-1 5.000000+1 4.705000-1 6.000000+1 4.977000-1 8.000000+1 5.390000-1 1.000000+2 5.690000-1 1.500000+2 6.177000-1 2.000000+2 6.473000-1 3.000000+2 6.820000-1 4.000000+2 7.021000-1 5.000000+2 7.154000-1 6.000000+2 7.249000-1 8.000000+2 7.376000-1 1.000000+3 7.459000-1 1.500000+3 7.578000-1 2.000000+3 7.643000-1 3.000000+3 7.714000-1 4.000000+3 7.752000-1 5.000000+3 7.776000-1 6.000000+3 7.793000-1 8.000000+3 7.814000-1 1.000000+4 7.828000-1 1.500000+4 7.847000-1 2.000000+4 7.857000-1 3.000000+4 7.868000-1 4.000000+4 7.874000-1 5.000000+4 7.877000-1 6.000000+4 7.880000-1 8.000000+4 7.883000-1 1.000000+5 7.885000-1 1 10000 7 8 2.017900+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 10000 7 9 2.017900+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 10000 7 0 2.017900+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 1.004230-7 2.136250+0 1.004230-6 2.147000+0 1.376870-6 2.156900+0 1.788390-6 2.169000+0 2.386720-6 2.184500+0 3.317620-6 2.201800+0 4.590020-6 2.214800+0 5.718800-6 2.234200+0 7.692800-6 2.253680+0 1.004230-5 2.281500+0 1.406600-5 2.307000+0 1.847570-5 2.338200+0 2.484210-5 2.377400+0 3.440340-5 2.410200+0 4.375540-5 2.446800+0 5.565930-5 2.485900+0 7.007810-5 2.532900+0 8.968490-5 2.556430+0 1.004230-4 2.611900+0 1.280500-4 2.660400+0 1.548060-4 2.745300+0 2.071970-4 2.809000+0 2.509270-4 2.904500+0 3.232600-4 3.000000+0 4.035000-4 3.125000+0 5.203050-4 3.234400+0 6.331060-4 3.425800+0 8.526070-4 3.569300+0 1.033930-3 3.784700+0 1.329300-3 4.000000+0 1.647000-3 4.250000+0 2.035680-3 4.625000+0 2.647040-3 5.000000+0 3.283000-3 5.500000+0 4.156230-3 6.000000+0 5.042000-3 6.750000+0 6.362800-3 7.000000+0 6.798000-3 8.000000+0 8.503000-3 9.000000+0 1.014000-2 1.000000+1 1.170000-2 1.100000+1 1.317000-2 1.200000+1 1.457000-2 1.300000+1 1.589000-2 1.400000+1 1.715000-2 1.500000+1 1.835000-2 1.600000+1 1.949000-2 1.800000+1 2.161000-2 2.000000+1 2.355000-2 2.200000+1 2.533000-2 2.400000+1 2.698000-2 2.600000+1 2.852000-2 2.800000+1 2.994000-2 3.000000+1 3.128000-2 4.000000+1 3.689000-2 5.000000+1 4.124000-2 6.000000+1 4.477000-2 8.000000+1 5.021000-2 1.000000+2 5.428000-2 1.500000+2 6.121000-2 2.000000+2 6.567000-2 3.000000+2 7.123000-2 4.000000+2 7.460000-2 5.000000+2 7.691000-2 6.000000+2 7.861000-2 8.000000+2 8.094000-2 1.000000+3 8.250000-2 1.500000+3 8.480000-2 2.000000+3 8.610000-2 3.000000+3 8.751000-2 4.000000+3 8.834000-2 5.000000+3 8.884000-2 6.000000+3 8.920000-2 8.000000+3 8.967000-2 1.000000+4 8.997000-2 1.500000+4 9.037000-2 2.000000+4 9.061000-2 3.000000+4 9.082000-2 4.000000+4 9.097000-2 5.000000+4 9.106000-2 6.000000+4 9.111000-2 8.000000+4 9.117000-2 1.000000+5 9.121000-2 1 10000 7 8 2.017900+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 10000 7 9 2.017900+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 10000 7 0 2.017900+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.000000+5 1.000000+1 5.000000+5 9.997800+0 6.250000+5 9.996130+0 7.187500+5 9.995080+0 7.890600+5 9.994380+0 8.945300+5 9.993440+0 1.000000+6 9.992600+0 1.125000+6 9.990250+0 1.500000+6 9.984500+0 2.000000+6 9.972400+0 2.500000+6 9.957000+0 3.000000+6 9.938200+0 4.000000+6 9.890600+0 5.000000+6 9.830000+0 6.500000+6 9.715540+0 7.000000+6 9.671900+0 8.500000+6 9.522530+0 9.000000+6 9.468200+0 1.000000+7 9.351500+0 1.125000+7 9.191220+0 1.187500+7 9.106830+0 1.250000+7 9.019300+0 1.375000+7 8.835250+0 1.437500+7 8.739950+0 1.500000+7 8.642700+0 1.687500+7 8.337020+0 1.750000+7 8.233000+0 1.937500+7 7.911380+0 2.000000+7 7.803100+0 2.125000+7 7.583850+0 2.312500+7 7.254050+0 2.500000+7 6.925400+0 2.718800+7 6.546990+0 2.750000+7 6.493570+0 2.906300+7 6.230470+0 3.000000+7 6.076400+0 3.250000+7 5.676490+0 3.437500+7 5.390830+0 3.718800+7 4.987110+0 4.000000+7 4.613900+0 4.250000+7 4.307240+0 4.625000+7 3.893070+0 5.000000+7 3.531000+0 5.437500+7 3.168280+0 6.000000+7 2.786400+0 6.500000+7 2.513880+0 6.750000+7 2.397750+0 7.000000+7 2.292900+0 7.500000+7 2.113980+0 7.750000+7 2.037750+0 8.000000+7 1.968800+0 8.500000+7 1.850710+0 9.000000+7 1.754000+0 9.750000+7 1.639340+0 1.000000+8 1.607300+0 1.062500+8 1.537350+0 1.203100+8 1.413790+0 1.250000+8 1.378900+0 1.437500+8 1.255030+0 1.500000+8 1.217400+0 1.625000+8 1.144690+0 1.718800+8 1.090810+0 1.789100+8 1.050230+0 1.875000+8 1.000240+0 1.894500+8 9.887360-1 1.973600+8 9.421600-1 2.000000+8 9.266000-1 2.375000+8 7.271720-1 2.500000+8 6.781000-1 2.718800+8 6.090260-1 2.815400+8 5.786630-1 2.881300+8 5.566960-1 2.960400+8 5.284990-1 3.000000+8 5.136000-1 3.062500+8 4.891350-1 3.171900+8 4.465540-1 3.335900+8 3.904510-1 3.418000+8 3.677170-1 3.500000+8 3.491000-1 3.562500+8 3.376700-1 3.671900+8 3.213660-1 3.835900+8 3.005100-1 3.918000+8 2.898220-1 4.000000+8 2.782000-1 4.091800+8 2.637920-1 4.176000+8 2.497880-1 4.279000+8 2.323570-1 4.369100+8 2.173820-1 5.000000+8 1.363000-1 5.125000+8 1.259950-1 5.343800+8 1.110930-1 5.671900+8 9.311650-2 5.835900+8 8.528200-2 6.000000+8 7.790000-2 6.562500+8 5.681610-2 6.718800+8 5.260080-2 6.859400+8 4.945690-2 6.964800+8 4.748570-2 7.000000+8 4.690000-2 7.125000+8 4.508410-2 7.234400+8 4.375010-2 7.665000+8 3.942480-2 7.784700+8 3.821660-2 7.928200+8 3.664610-2 8.000000+8 3.580000-2 8.125000+8 3.421880-2 8.242200+8 3.265490-2 8.403500+8 3.043920-2 8.551600+8 2.839930-2 8.732700+8 2.596740-2 8.891100+8 2.394340-2 1.000000+9 1.360000-2 1.030800+9 1.185890-2 1.060100+9 1.051890-2 1.087600+9 9.473830-3 1.125800+9 8.281540-3 1.172600+9 7.123810-3 1.213500+9 6.309710-3 1.285100+9 5.188380-3 1.419400+9 3.719880-3 1.500000+9 3.074600-3 1.562500+9 2.654350-3 1.617200+9 2.336100-3 1.712900+9 1.875290-3 1.856400+9 1.366430-3 2.000000+9 1.015100-3 2.363300+9 5.237160-4 2.846700+9 2.523190-4 3.154300+9 1.691150-4 5.000000+9 2.822500-5 8.000000+9 4.506700-6 1.00000+10 1.896500-6 1.13510+10 1.163900-6 1.41440+10 5.017070-7 1.70770+10 2.455160-7 2.13560+10 1.059460-7 2.50230+10 5.869470-8 2.97090+10 3.110220-8 3.62280+10 1.502560-8 4.42000+10 7.294460-9 5.42260+10 3.496070-9 6.26180+10 2.092520-9 7.59690+10 1.056530-9 9.39920+10 5.01621-10 1.00000+11 4.04450-10 1.17140+11 2.34231-10 1.47470+11 1.06617-10 1.82930+11 5.14715-11 2.31360+11 2.34813-11 3.10280+11 8.91602-12 4.35820+11 2.95348-12 5.93370+11 1.09812-12 9.79510+11 2.25979-13 1.51300+12 5.87115-14 2.91350+12 7.97894-15 7.05210+12 5.70006-16 2.65560+13 1.17052-17 1.00000+14 2.44680-19 5.62340+14 1.50019-21 5.42470+15 1.69852-24 1.00000+17 2.53680-28 1 10000 7 0 2.017900+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 9.00000-13 1.000000+2 9.00000-11 1.000000+3 9.000000-9 1.000000+4 9.000000-7 1.000000+5 9.000000-5 5.000000+5 2.250000-3 6.250000+5 3.515625-3 7.187500+5 4.649414-3 7.890600+5 5.603541-3 8.945300+5 7.201655-3 1.000000+6 9.000000-3 1.125000+6 1.140580-2 1.500000+6 2.010000-2 2.000000+6 3.570000-2 2.500000+6 5.560000-2 3.000000+6 7.990000-2 4.000000+6 1.410000-1 5.000000+6 2.180000-1 6.500000+6 3.624430-1 7.000000+6 4.177000-1 8.500000+6 6.020310-1 9.000000+6 6.694000-1 1.000000+7 8.120000-1 1.125000+7 1.002660+0 1.187500+7 1.102450+0 1.250000+7 1.205100+0 1.375000+7 1.417440+0 1.437500+7 1.526410+0 1.500000+7 1.637000+0 1.687500+7 1.974370+0 1.750000+7 2.088500+0 1.937500+7 2.432270+0 2.000000+7 2.547000+0 2.125000+7 2.774850+0 2.312500+7 3.112170+0 2.500000+7 3.441700+0 2.718800+7 3.813680+0 2.750000+7 3.865400+0 2.906300+7 4.120260+0 3.000000+7 4.269000+0 3.250000+7 4.648980+0 3.437500+7 4.918300+0 3.718800+7 5.296730+0 4.000000+7 5.644000+0 4.250000+7 5.926530+0 4.625000+7 6.307660+0 5.000000+7 6.640000+0 5.437500+7 6.970830+0 6.000000+7 7.320000+0 6.500000+7 7.569540+0 6.750000+7 7.676150+0 7.000000+7 7.774000+0 7.500000+7 7.942520+0 7.750000+7 8.016700+0 8.000000+7 8.085000+0 8.500000+7 8.205730+0 9.000000+7 8.312000+0 9.750000+7 8.448180+0 1.000000+8 8.490000+0 1.062500+8 8.586580+0 1.203100+8 8.777660+0 1.250000+8 8.836100+0 1.437500+8 9.048710+0 1.500000+8 9.113000+0 1.625000+8 9.232270+0 1.718800+8 9.313080+0 1.789100+8 9.369450+0 1.875000+8 9.433670+0 1.894500+8 9.447900+0 1.973600+8 9.500390+0 2.000000+8 9.517500+0 2.375000+8 9.705970+0 2.500000+8 9.752200+0 2.718800+8 9.815350+0 2.815400+8 9.838630+0 2.881300+8 9.852410+0 2.960400+8 9.867900+0 3.000000+8 9.875000+0 3.062500+8 9.884490+0 3.171900+8 9.900650+0 3.335900+8 9.920590+0 3.418000+8 9.929370+0 3.500000+8 9.936800+0 3.562500+8 9.941350+0 3.671900+8 9.949120+0 3.835900+8 9.958910+0 3.918000+8 9.963000+0 4.000000+8 9.967000+0 4.091800+8 9.970080+0 4.176000+8 9.972850+0 4.279000+8 9.976150+0 4.369100+8 9.978990+0 5.000000+8 9.990600+0 5.125000+8 9.991450+0 5.343800+8 9.992900+0 5.671900+8 9.994960+0 5.835900+8 9.995940+0 6.000000+8 9.996900+0 6.562500+8 9.998060+0 6.718800+8 9.998370+0 6.859400+8 9.998640+0 6.964800+8 9.998830+0 7.000000+8 9.998900+0 7.125000+8 9.999050+0 7.234400+8 9.999170+0 7.665000+8 9.999650+0 7.784700+8 9.999780+0 7.928200+8 9.999930+0 8.000000+8 1.000000+1 8.125000+8 1.000000+1 8.242200+8 1.000000+1 8.403500+8 1.000000+1 8.551600+8 1.000000+1 8.732700+8 1.000000+1 8.891100+8 1.000000+1 1.000000+9 1.000000+1 1.030800+9 1.000000+1 1.060100+9 1.000000+1 1.087600+9 1.000000+1 1.125800+9 1.000000+1 1.172600+9 1.000000+1 1.213500+9 1.000000+1 1.285100+9 1.000000+1 1.419400+9 1.000000+1 1.500000+9 1.000000+1 1.562500+9 1.000000+1 1.617200+9 1.000000+1 1.712900+9 1.000000+1 1.856400+9 1.000000+1 2.000000+9 1.000000+1 2.363300+9 1.000000+1 2.846700+9 1.000000+1 3.154300+9 1.000000+1 5.000000+9 1.000000+1 8.000000+9 1.000000+1 1.00000+10 1.000000+1 1.13510+10 1.000000+1 1.41440+10 1.000000+1 1.70770+10 1.000000+1 2.13560+10 1.000000+1 2.50230+10 1.000000+1 2.97090+10 1.000000+1 3.62280+10 1.000000+1 4.42000+10 1.000000+1 5.42260+10 1.000000+1 6.26180+10 1.000000+1 7.59690+10 1.000000+1 9.39920+10 1.000000+1 1.00000+11 1.000000+1 1.17140+11 1.000000+1 1.47470+11 1.000000+1 1.82930+11 1.000000+1 2.31360+11 1.000000+1 3.10280+11 1.000000+1 4.35820+11 1.000000+1 5.93370+11 1.000000+1 9.79510+11 1.000000+1 1.51300+12 1.000000+1 2.91350+12 1.000000+1 7.05210+12 1.000000+1 2.65560+13 1.000000+1 1.00000+14 1.000000+1 5.62340+14 1.000000+1 5.42470+15 1.000000+1 1.00000+17 1.000000+1 1 10000 7 0 2.017900+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.072000-6 0.0 9.520656-6 0.0 1.505016-5 0.0 1.511499-5 4.208877-1 1.512425-5 4.804010-1 1.516129-5 8.774918-1 1.516902-5 1.016337+0 1.519834-5 1.587049+0 1.523949-5 2.651330+0 1.529023-5 4.358822+0 1.535147-5 6.603051+0 1.539113-5 7.787941+0 1.543216-5 8.495967+0 1.546909-5 8.589455+0 1.550844-5 8.084155+0 1.554481-5 7.179853+0 1.561110-5 4.940808+0 1.564286-5 3.812597+0 1.567991-5 2.678934+0 1.571695-5 1.767589+0 1.576206-5 9.498063-1 1.579104-5 5.157477-1 1.579938-5 4.477570-1 1.583671-5 2.463148-1 1.587404-5 1.250814-1 1.591136-5 0.0 1.670483-5 0.0 1.670708-5 4.453485-8 1.678932-5 3.299721-6 1.682166-5 5.396138-6 1.683044-5 6.175978-6 1.687157-5 1.106027-5 1.691269-5 1.751551-5 1.695381-5 2.572971-5 1.703606-5 4.448275-5 1.707718-5 5.246908-5 1.711830-5 5.766120-5 1.715942-5 5.911371-5 1.720054-5 5.660483-5 1.724167-5 5.068247-5 1.730785-5 3.701056-5 1.736503-5 2.449048-5 1.740616-5 1.685330-5 1.744728-5 1.085374-5 1.748840-5 6.512906-6 1.752717-5 3.016434-6 1.752952-5 2.890543-6 1.756693-5 1.662067-6 1.762904-5 4.225043-7 1.764974-5 0.0 1.771751-5 0.0 1.779927-5 8.353406-2 1.780472-5 8.905172-2 1.783218-5 1.353574-1 1.784833-5 1.708392-1 1.789194-5 3.043943-1 1.793555-5 4.838546-1 1.797916-5 7.130490-1 1.801535-5 9.340355-1 1.806638-5 1.298915+0 1.815609-5 1.819491+0 1.822302-5 2.070764+0 1.828835-5 2.195433+0 1.836363-5 2.245117+0 1.843802-5 2.163609+0 1.850855-5 1.943987+0 1.858473-5 1.546523+0 1.865791-5 1.107045+0 1.872003-5 8.097155-1 1.876350-5 6.920965-1 1.879239-5 6.619953-1 1.883830-5 6.895893-1 1.888422-5 7.796662-1 1.894435-5 1.014607+0 1.902268-5 1.340548+0 1.909300-5 1.537094+0 1.914209-5 1.599410+0 1.920512-5 1.595051+0 1.938088-5 1.486448+0 1.958105-5 1.531957+0 1.967094-5 1.576980+0 2.049523-5 1.763126+0 2.326326-5 2.493021+0 2.660725-5 3.228566+0 3.100400-5 4.004601+0 3.785978-5 4.898874+0 3.975208-5 5.153040+0 4.040006-5 5.488328+0 4.120820-5 5.266406+0 4.250605-5 5.490309+0 5.030427-5 6.125633+0 5.900000-5 6.510972+0 6.873786-5 6.601597+0 8.585192-5 6.196993+0 1.335442-4 4.308231+0 1.605369-4 3.500243+0 1.872362-4 2.902349+0 2.144125-4 2.439470+0 2.460375-4 2.028028+0 2.826507-4 1.669373+0 3.204583-4 1.391394+0 3.672823-4 1.136146+0 4.186730-4 9.313933-1 4.758828-4 7.653179-1 5.412016-4 6.268357-1 6.093656-4 5.196423-1 7.018592-4 4.140658-1 8.064038-4 3.295414-1 8.348487-4 3.130389-1 8.371668-4 3.387265-1 8.389758-4 3.711660-1 8.409785-4 4.275943-1 8.430333-4 5.246372-1 8.450995-4 6.766069-1 8.474312-4 9.296419-1 8.493004-4 1.188251+0 8.522851-4 1.708748+0 8.578355-4 2.771654+0 8.617865-4 3.348571+0 8.650148-4 3.657256+0 8.704854-4 3.900924+0 8.896716-4 4.044793+0 9.344301-4 3.944187+0 1.057052-3 3.255638+0 1.224965-3 2.624675+0 1.395819-3 2.144324+0 1.604688-3 1.717519+0 1.819701-3 1.395033+0 2.072195-3 1.119230+0 2.299745-3 9.344377-1 2.572242-3 7.664851-1 2.871582-3 6.284151-1 3.198895-3 5.161877-1 3.539706-3 4.275973-1 3.935501-3 3.504448-1 4.287893-3 2.976331-1 4.731512-3 2.463796-1 5.178756-3 2.066388-1 5.703801-3 1.710419-1 6.290965-3 1.408150-1 6.936806-3 1.158710-1 7.545462-3 9.770819-2 8.352230-3 7.953296-2 9.275260-3 6.408318-2 1.006079-2 5.420335-2 1.122535-2 4.313272-2 1.226317-2 3.583108-2 1.341999-2 2.961151-2 1.454580-2 2.495014-2 1.606190-2 2.021316-2 1.745851-2 1.688388-2 1.925653-2 1.366616-2 2.096544-2 1.135923-2 2.286205-2 9.402065-3 2.483999-2 7.844069-3 2.743834-2 6.297612-3 3.034480-2 5.038307-3 3.354932-2 4.032488-3 3.725702-2 3.188318-3 4.127910-2 2.533708-3 4.576751-2 2.010126-3 5.084923-2 1.583915-3 5.515751-2 1.317716-3 6.015647-2 1.082496-3 6.590160-2 8.810298-4 7.253517-2 7.087086-4 7.910742-2 5.819236-4 8.602854-2 4.810883-4 9.378601-2 3.955905-4 1.020235-1 3.267070-4 1.116319-1 2.664214-4 1.206379-1 2.234520-4 1.304119-1 1.875165-4 1.428508-1 1.529409-4 1.573392-1 1.231696-4 1.725302-1 1.004711-4 1.917610-1 7.960036-5 2.111132-1 6.465064-5 2.293925-1 5.406836-5 2.514578-1 4.449424-5 2.742548-1 3.716227-5 3.000000-1 3.095413-5 3.277531-1 2.594000-5 3.611050-1 2.149183-5 4.029603-1 1.750881-5 4.467926-1 1.453571-5 4.899896-1 1.239424-5 5.432503-1 1.046482-5 6.148228-1 8.646667-6 6.898426-1 7.326703-6 7.585776-1 6.450721-6 8.685017-1 5.472318-6 1.022000+0 4.529426-6 1.228714+0 3.779999-6 1.477239+0 3.154570-6 1.776032+0 2.632623-6 2.135261+0 2.197036-6 2.567148+0 1.833520-6 3.086391+0 1.530150-6 3.710658+0 1.276976-6 4.461192+0 1.065691-6 5.363532+0 8.893641-7 6.448384+0 7.422122-7 7.752663+0 6.194077-7 9.320751+0 5.169221-7 9.760024+0 4.940685-7 1.000000+1 9.575474-7 1 10000 7 0 2.017900+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-1.000217+1 3.072000-6-1.002031+1 9.520656-6-1.018436+1 1.370081-5-1.011889+1 1.453766-5-9.673639+0 1.485894-5-9.061206+0 1.501396-5-8.297658+0 1.514740-5-6.738553+0 1.521248-5-5.818342+0 1.525232-5-5.516370+0 1.529023-5-5.546496+0 1.532510-5-5.950692+0 1.535147-5-6.539133+0 1.538879-5-7.766270+0 1.543607-5-9.837089+0 1.546122-5-1.098156+1 1.551863-5-8.426750+0 1.555820-5-7.110780+0 1.559446-5-6.328294+0 1.563393-5-5.943682+0 1.567991-5-6.053744+0 1.575712-5-6.838505+0 1.584604-5-8.090122+0 1.596851-5-9.119751+0 1.621068-5-9.980136+0 1.691269-5-1.098327+1 1.736503-5-1.137993+1 1.776112-5-1.087452+1 1.802810-5-1.025568+1 1.817282-5-1.073526+1 1.836363-5-1.176164+1 1.858473-5-1.086196+1 1.872003-5-1.111610+1 1.895880-5-1.214114+1 1.936432-5-1.172247+1 2.478368-5-1.159413+1 3.962377-5-1.010885+1 4.031440-5-9.950158+0 4.095196-5-9.655753+0 4.205350-5-9.659643+0 6.873786-5-6.013078+0 8.012167-5-4.777089+0 8.963962-5-3.955274+0 9.963676-5-3.279718+0 1.102808-4-2.743993+0 1.228800-4-2.283816+0 1.379391-4-1.916157+0 1.515267-4-1.690944+0 1.719454-4-1.477467+0 1.955465-4-1.338925+0 2.249935-4-1.257285+0 2.683799-4-1.231408+0 3.354760-4-1.292068+0 4.758828-4-1.552562+0 5.837810-4-1.836254+0 6.617549-4-2.131561+0 7.206774-4-2.465647+0 7.622860-4-2.827004+0 7.918115-4-3.222680+0 8.126741-4-3.660707+0 8.261223-4-4.107204+0 8.430333-4-4.965190+0 8.485465-4-5.555012+0 8.532265-4-6.294665+0 8.578355-4-6.170109+0 8.722302-4-4.696504+0 8.826430-4-4.013674+0 8.934239-4-3.526324+0 9.118158-4-2.912738+0 9.344301-4-2.356803+0 9.573486-4-1.934720+0 9.865560-4-1.539219+0 1.017142-3-1.240876+0 1.057052-3-9.546981-1 1.103701-3-7.028738-1 1.148154-3-5.102954-1 1.180108-3-3.899732-1 1.208062-3-3.005608-1 1.224965-3-2.522216-1 1.256209-3-1.730188-1 1.288250-3-1.022388-1 1.326106-3-2.930640-2 1.358644-3 2.322652-2 1.395819-3 7.553582-2 1.435222-3 1.233748-1 1.479477-3 1.703413-1 1.557758-3 2.369785-1 1.637494-3 2.854717-1 1.733825-3 3.277386-1 1.855567-3 3.595889-1 2.072195-3 3.878113-1 2.396087-3 3.867539-1 3.082956-3 3.361857-1 4.155173-3 2.524781-1 5.023847-3 2.014599-1 5.878236-3 1.640300-1 6.936806-3 1.298843-1 8.097653-3 1.029374-1 9.275260-3 8.310393-2 1.065369-2 6.611374-2 1.191071-2 5.451193-2 1.341999-2 4.395866-2 1.502874-2 3.549095-2 1.695032-2 2.791329-2 1.879207-2 2.238079-2 2.096544-2 1.740661-2 2.286205-2 1.405124-2 2.483999-2 1.124613-2 2.743834-2 8.359004-3 2.975950-2 6.321990-3 3.216405-2 4.614777-3 3.421625-2 3.411737-3 3.657167-2 2.249833-3 3.801894-2 1.628301-3 3.965733-2 9.995381-4 4.036761-2 7.475008-4 4.127910-2 4.429300-4 4.206273-2 1.944399-4 4.294225-2-6.929530-5 4.391054-2-3.424867-4 4.480066-2-5.798128-4 4.662100-2-1.026301-3 4.873991-2-1.489267-3 5.207370-2-2.115896-3 5.666061-2-2.816685-3 6.284370-2-3.545141-3 7.057841-2-4.216065-3 8.222426-2-4.908793-3 9.877401-2-5.554068-3 1.269843-1-6.135335-3 1.816459-1-6.590585-3 3.277531-1-6.892089-3 1.022000+0-7.011998-3 3.086391+0-7.024233-3 9.320751+0-7.025575-3 1.000000+1-7.025292-3 1 11000 7 0 2.298980+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 5.450232-2 1.061565-6 7.467113-2 1.092401-6 8.721400-2 1.122274-6 1.012662-1 1.151213-6 1.169506-1 1.179248-6 1.343969-1 1.206407-6 1.537421-1 1.232717-6 1.751312-1 1.258205-6 1.987170-1 1.282897-6 2.246613-1 1.306817-6 2.531344-1 1.329989-6 2.843163-1 1.352437-6 3.183968-1 1.374184-6 3.555759-1 1.395251-6 3.960645-1 1.415660-6 4.400848-1 1.435431-6 4.878704-1 1.454584-6 5.396675-1 1.473139-6 5.957350-1 1.491114-6 6.563448-1 1.508527-6 7.217830-1 1.525396-6 7.923499-1 1.541738-6 8.683606-1 1.557569-6 9.501457-1 1.572905-6 1.038052+0 1.587762-6 1.132443+0 1.602155-6 1.233698+0 1.616098-6 1.342217+0 1.629605-6 1.458415+0 1.642691-6 1.582728+0 1.655367-6 1.715610+0 1.679544-6 2.009003+0 1.702233-6 2.342699+0 1.713048-6 2.526264+0 1.723526-6 2.722118+0 1.733676-6 2.930871+0 1.753035-6 3.387622+0 1.771491-6 3.909075+0 1.788794-6 4.495275+0 1.805015-6 5.153053+0 1.820222-6 5.889329+0 1.834479-6 6.711434+0 1.847845-6 7.627149+0 1.860376-6 8.644700+0 1.872123-6 9.772762+0 1.883136-6 1.102045+1 1.893461-6 1.239729+1 1.903140-6 1.391324+1 1.912215-6 1.557866+1 1.920722-6 1.740427+1 1.928698-6 1.940119+1 1.936175-6 2.158089+1 1.943185-6 2.395519+1 1.949757-6 2.653630+1 1.955918-6 2.933684+1 1.961694-6 3.236994+1 1.967109-6 3.564936+1 1.972185-6 3.918975+1 1.976944-6 4.300697+1 1.981406-6 4.711857+1 1.985589-6 5.154446+1 1.989511-6 5.630757+1 1.993187-6 6.143447+1 1.996634-6 6.695540+1 1.999865-6 7.290374+1 2.002894-6 7.931450+1 2.005734-6 8.622214+1 2.008396-6 9.365777+1 2.010892-6 1.016463+2 2.015572-6 1.199867+2 2.019668-6 1.407372+2 2.023251-6 1.636653+2 2.026386-6 1.883499+2 2.029129-6 2.142479+2 2.031530-6 2.407700+2 2.035468-6 2.934704+2 2.040946-6 3.896955+2 2.048333-6 5.718272+2 2.052098-6 6.914327+2 2.058416-6 9.352841+2 2.060809-6 1.041315+3 2.063458-6 1.166543+3 2.066518-6 1.320063+3 2.068500-6 1.423549+3 2.071536-6 1.586123+3 2.072640-6 1.645925+3 2.075952-6 1.825059+3 2.077492-6 1.907103+3 2.080111-6 2.042807+3 2.082116-6 2.141896+3 2.084368-6 2.246430+3 2.086853-6 2.351455+3 2.088667-6 2.419970+3 2.091818-6 2.520084+3 2.094013-6 2.573985+3 2.096377-6 2.616200+3 2.097488-6 2.630119+3 2.100105-6 2.647466+3 2.101701-6 2.647301+3 2.106395-6 2.600160+3 2.108653-6 2.553744+3 2.111483-6 2.475629+3 2.114000-6 2.389411+3 2.116334-6 2.297260+3 2.118121-6 2.219929+3 2.120675-6 2.101070+3 2.123343-6 1.968943+3 2.125811-6 1.841981+3 2.127714-6 1.742370+3 2.129000-6 1.674781+3 2.131475-6 1.545215+3 2.134042-6 1.413175+3 2.137163-6 1.258239+3 2.139084-6 1.167019+3 2.141571-6 1.054468+3 2.149167-6 7.558339+2 2.153538-6 6.168769+2 2.165626-6 3.477336+2 2.169314-6 2.935194+2 2.172992-6 2.494456+2 2.176656-6 2.138139+2 2.180305-6 1.850537+2 2.183940-6 1.618087+2 2.187560-6 1.429416+2 2.191167-6 1.275226+2 2.194759-6 1.148076+2 2.198338-6 1.042118+2 2.201902-6 9.528139+1 2.205453-6 8.766812+1 2.208989-6 8.110588+1 2.212512-6 7.539157+1 2.219530-6 6.590369+1 2.226493-6 5.835803+1 2.233402-6 5.221369+1 2.240257-6 4.711858+1 2.247059-6 4.283214+1 2.253807-6 3.918311+1 2.260502-6 3.604555+1 2.267145-6 3.332439+1 2.273737-6 3.094639+1 2.280277-6 2.885405+1 2.286765-6 2.700155+1 2.293203-6 2.535187+1 2.305979-6 2.253581+1 2.318555-6 2.023760+1 2.330934-6 1.833258+1 2.343120-6 1.673349+1 2.355115-6 1.537652+1 2.366923-6 1.421375+1 2.378547-6 1.320874+1 2.389989-6 1.233359+1 2.401252-6 1.156639+1 2.412339-6 1.088927+1 2.434167-6 9.740609+0 2.455313-6 8.813051+0 2.475798-6 8.052205+0 2.495642-6 7.419740+0 2.514867-6 6.887302+0 2.533491-6 6.434170+0 2.551533-6 6.045295+0 2.569011-6 5.708969+0 2.602875-6 5.146638+0 2.634622-6 4.704132+0 2.664385-6 4.350084+0 2.692288-6 4.062164+0 2.718447-6 3.825453+0 2.767495-6 3.446250+0 2.810412-6 3.168407+0 2.847964-6 2.959864+0 2.880823-6 2.799993+0 2.938325-6 2.557980+0 2.981451-6 2.402323+0 3.046141-6 2.202346+0 3.141459-6 1.958860+0 3.240998-6 1.754859+0 3.263969-6 1.713628+0 3.475353-6 1.364721+0 3.510584-6 1.303504+0 3.545824-6 1.235779+0 3.563279-6 1.197748+0 3.580734-6 1.154711+0 3.589462-6 1.130535+0 3.598190-6 1.104014+0 3.606917-6 1.074636+0 3.615645-6 1.041895+0 3.624372-6 1.005429+0 3.633100-6 9.652413-1 3.641828-6 9.220059-1 3.663683-6 8.148009-1 3.665998-6 8.053205-1 3.671368-6 7.863960-1 3.676738-6 7.730384-1 3.679621-6 7.687467-1 3.682503-6 7.668085-1 3.691523-6 7.788512-1 3.693778-6 7.867737-1 3.700542-6 8.239864-1 3.703643-6 8.482117-1 3.709562-6 9.076094-1 3.712742-6 9.467381-1 3.715627-6 9.865582-1 3.720361-6 1.060499+0 3.730116-6 1.243085+0 3.735825-6 1.364882+0 3.743186-6 1.531751+0 3.746768-6 1.614614+0 3.753673-6 1.772612+0 3.755787-6 1.819593+0 3.763680-6 1.984379+0 3.766780-6 2.043057+0 3.772699-6 2.143015+0 3.774954-6 2.176454+0 3.778336-6 2.221422+0 3.781719-6 2.259898+0 3.786026-6 2.299219+0 3.789257-6 2.321526+0 3.794103-6 2.343580+0 3.798948-6 2.352449+0 3.806320-6 2.342766+0 3.808778-6 2.333960+0 3.817797-6 2.281913+0 3.826817-6 2.206606+0 3.835837-6 2.118058+0 3.858274-6 1.892170+0 3.868725-6 1.800612+0 3.878849-6 1.724454+0 3.898464-6 1.610520+0 3.916853-6 1.535050+0 3.934093-6 1.482196+0 3.966418-6 1.409383+0 3.994702-6 1.361312+0 4.044200-6 1.295867+0 4.192702-6 1.142495+0 4.223661-6 1.104671+0 4.256671-6 1.062029+0 4.266421-6 1.051616+0 4.276871-6 1.043269+0 4.287645-6 1.038913+0 4.297970-6 1.039776+0 4.305668-6 1.043992+0 4.317215-6 1.056104+0 4.328762-6 1.074427+0 4.360470-6 1.139848+0 4.370920-6 1.159265+0 4.379849-6 1.172618+0 4.388778-6 1.182223+0 4.402269-6 1.188974+0 4.412719-6 1.188001+0 4.423169-6 1.182394+0 4.433619-6 1.173193+0 4.454518-6 1.148441+0 4.470866-6 1.127079+0 4.520094-6 1.069985+0 4.542345-6 1.050279+0 4.564596-6 1.035962+0 4.586847-6 1.028596+0 4.609099-6 1.028300+0 4.653601-6 1.036493+0 4.675853-6 1.036254+0 4.698104-6 1.030452+0 4.763571-6 1.002725+0 4.810470-6 9.915300-1 5.101990-6 9.288740-1 5.247818-6 8.995717-1 5.824991-6 8.129495-1 6.240837-6 7.641845-1 6.669705-6 7.234623-1 7.384917-6 6.696709-1 8.345000-6 6.125556-1 9.050000-6 5.785150-1 9.930000-6 5.388350-1 1.059254-5 5.101494-1 1.139063-5 4.778082-1 1.230269-5 4.403249-1 1.281445-5 4.199432-1 1.333521-5 3.976010-1 1.400000-5 3.696344-1 1.462177-5 3.435539-1 1.548817-5 3.062233-1 1.640590-5 2.664859-1 1.737801-5 2.246317-1 1.843200-5 1.796149-1 1.940942-5 1.390480-1 2.038153-5 1.008782-1 2.125909-5 6.930152-2 2.181692-5 5.114998-2 2.214728-5 4.147096-2 2.289532-5 2.245216-2 2.304000-5 1.928759-2 2.363757-5 8.607093-3 2.381134-5 6.293150-3 2.433342-5 1.841367-3 2.440321-5 1.554417-3 2.462573-5 1.397733-3 2.533832-5 6.535842-3 2.563814-5 1.176369-2 2.572321-5 1.377395-2 2.596184-5 2.076683-2 2.652863-5 4.411854-2 2.677977-5 5.816193-2 2.698479-5 7.215196-2 2.740250-5 1.078020-1 2.777870-5 1.495691-1 2.808780-5 1.935060-1 2.861249-5 2.956355-1 2.882673-5 3.519599-1 2.900834-5 4.094142-1 2.916795-5 4.695563-1 2.930824-5 5.323205-1 2.943154-5 5.976468-1 2.954689-5 6.698902-1 2.967836-5 7.681708-1 2.979244-5 8.672630-1 2.988644-5 9.547640-1 2.996389-5 1.025672+0 3.004638-5 1.093664+0 3.011011-5 1.137318+0 3.016978-5 1.170227+0 3.030716-5 1.231550+0 3.033695-5 1.248071+0 3.036657-5 1.268415+0 3.040110-5 1.299174+0 3.044425-5 1.352118+0 3.047574-5 1.403684+0 3.052272-5 1.505365+0 3.055505-5 1.594905+0 3.057911-5 1.672720+0 3.062970-5 1.868553+0 3.065375-5 1.976795+0 3.073988-5 2.434023+0 3.078803-5 2.723457+0 3.082629-5 2.959945+0 3.085841-5 3.156545+0 3.089152-5 3.351598+0 3.091910-5 3.504129+0 3.094577-5 3.639827+0 3.097611-5 3.776505+0 3.100227-5 3.876526+0 3.103128-5 3.965530+0 3.105064-5 4.011038+0 3.108133-5 4.058894+0 3.109323-5 4.069176+0 3.112718-5 4.072562+0 3.115440-5 4.047458+0 3.122219-5 3.881476+0 3.125091-5 3.770263+0 3.129683-5 3.549444+0 3.132249-5 3.406573+0 3.134699-5 3.259634+0 3.137148-5 3.104341+0 3.139014-5 2.981620+0 3.140647-5 2.871861+0 3.143504-5 2.676194+0 3.145647-5 2.527915+0 3.147255-5 2.416630+0 3.149666-5 2.250682+0 3.152077-5 2.087180+0 3.155809-5 1.841886+0 3.158608-5 1.666274+0 3.159541-5 1.609617+0 3.164964-5 1.301676+0 3.167006-5 1.195985+0 3.172477-5 9.426349-1 3.176233-5 7.944056-1 3.183327-5 5.704802-1 3.187502-5 4.708442-1 3.189380-5 4.331952-1 3.192198-5 3.844970-1 3.195015-5 3.445210-1 3.200650-5 2.879259-1 3.202528-5 2.752200-1 3.204712-5 2.638790-1 3.208807-5 2.515539-1 3.212390-5 2.490996-1 3.218661-5 2.599892-1 3.223364-5 2.782012-1 3.230419-5 3.174192-1 3.245687-5 4.335937-1 3.257345-5 5.397116-1 3.287964-5 8.748720-1 3.317410-5 1.330974+0 3.344558-5 1.973674+0 3.360189-5 2.449357+0 3.363355-5 2.551221+0 3.368419-5 2.714904+0 3.376649-5 2.975722+0 3.379816-5 3.071671+0 3.384879-5 3.216705+0 3.389133-5 3.328174+0 3.392569-5 3.409711+0 3.396937-5 3.500653+0 3.399954-5 3.554232+0 3.404849-5 3.623647+0 3.409007-5 3.664575+0 3.413290-5 3.688816+0 3.417800-5 3.694661+0 3.424745-5 3.665796+0 3.429331-5 3.623784+0 3.437862-5 3.506147+0 3.447620-5 3.330036+0 3.464387-5 3.014229+0 3.471936-5 2.898810+0 3.478107-5 2.826161+0 3.479367-5 2.814014+0 3.487752-5 2.757380+0 3.491887-5 2.744840+0 3.494406-5 2.741961+0 3.505418-5 2.767022+0 3.513730-5 2.818243+0 3.526091-5 2.924551+0 3.544804-5 3.102774+0 3.554305-5 3.186350+0 3.570657-5 3.312966+0 3.603639-5 3.535899+0 3.671581-5 4.034304+0 3.708641-5 4.334975+0 3.765576-5 4.809027+0 3.824093-5 5.314055+0 3.914878-5 6.140592+0 3.973520-5 6.702353+0 4.030329-5 7.271089+0 4.138677-5 8.405614+0 4.241973-5 9.547178+0 4.330000-5 1.056376+1 4.466836-5 1.221152+1 4.625741-5 1.425764+1 4.740300-5 1.579129+1 4.877251-5 1.766674+1 5.031596-5 1.983113+1 5.155000-5 2.157811+1 5.230000-5 2.263478+1 5.417315-5 2.524701+1 5.580000-5 2.748924+1 5.754399-5 2.978787+1 5.919705-5 3.192720+1 5.962470-5 3.263153+1 5.991369-5 3.329670+1 6.019489-5 3.419179+1 6.044453-5 3.521523+1 6.093649-5 3.752141+1 6.115638-5 3.838324+1 6.129320-5 3.878098+1 6.147885-5 3.911465+1 6.164904-5 3.921484+1 6.192189-5 3.906737+1 6.235461-5 3.865369+1 6.262157-5 3.862819+1 6.289241-5 3.885696+1 6.396088-5 4.054804+1 6.628669-5 4.349204+1 6.848516-5 4.605544+1 7.083903-5 4.858121+1 7.413102-5 5.168041+1 7.650000-5 5.366875+1 7.839754-5 5.509109+1 8.042786-5 5.647376+1 8.300000-5 5.806344+1 8.519488-5 5.926573+1 8.971765-5 6.135965+1 9.545181-5 6.339135+1 1.000000-4 6.469639+1 1.100000-4 6.668906+1 1.219691-4 6.831228+1 1.350026-4 6.947331+1 1.601267-4 7.080542+1 1.778280-4 7.121031+1 1.986667-4 7.122908+1 2.248388-4 7.075592+1 2.629247-4 6.966994+1 3.216205-4 6.780055+1 3.699346-4 6.623817+1 4.629763-4 6.319890+1 5.234874-4 6.134507+1 5.973791-4 5.903504+1 6.413844-4 5.757712+1 6.717188-4 5.641554+1 7.294628-4 5.410149+1 7.642845-4 5.264221+1 7.906217-4 5.146973+1 8.219645-4 4.997154+1 8.493027-4 4.853336+1 8.720610-4 4.719922+1 8.944737-4 4.571236+1 9.098485-4 4.458990+1 9.294915-4 4.301036+1 9.456767-4 4.155837+1 9.551472-4 4.062313+1 9.656474-4 3.949228+1 9.770290-4 3.813851+1 9.874378-4 3.675025+1 9.954071-4 3.556014+1 1.001915-3 3.448410+1 1.010457-3 3.289114+1 1.017322-3 3.141409+1 1.023981-3 2.974339+1 1.029506-3 2.810930+1 1.034036-3 2.655596+1 1.037197-3 2.534953+1 1.040644-3 2.393791+1 1.045668-3 2.181636+1 1.049959-3 2.016404+1 1.052005-3 1.951397+1 1.053913-3 1.902789+1 1.055526-3 1.872662+1 1.056770-3 1.857207+1 1.058030-3 1.849039+1 1.059676-3 1.850412+1 1.060690-3 1.858289+1 1.061466-3 1.868003+1 1.063050-3 1.897772+1 1.063980-3 1.921410+1 1.065362-3 1.964701+1 1.066750-3 2.017552+1 1.067775-3 2.062268+1 1.070300-3 2.190835+1 1.073381-3 2.376596+1 1.079000-3 2.762737+1 1.081089-3 2.911627+1 1.084459-3 3.148264+1 1.086625-3 3.294800+1 1.090000-3 3.510807+1 1.092000-3 3.630671+1 1.094000-3 3.744135+1 1.097750-3 3.939659+1 1.100022-3 4.047598+1 1.104014-3 4.219595+1 1.109175-3 4.412559+1 1.111611-3 4.493739+1 1.116036-3 4.627488+1 1.121807-3 4.779863+1 1.127982-3 4.921126+1 1.132710-3 5.017089+1 1.139467-3 5.139172+1 1.146525-3 5.251154+1 1.157132-3 5.397193+1 1.176072-3 5.616203+1 1.197353-3 5.822675+1 1.220899-3 6.015466+1 1.241441-3 6.158670+1 1.269884-3 6.323325+1 1.309548-3 6.501087+1 1.344785-3 6.614924+1 1.402927-3 6.751121+1 1.458254-3 6.841826+1 1.538947-3 6.918380+1 1.652094-3 6.957059+1 1.748541-3 6.951819+1 1.878657-3 6.892600+1 2.017976-3 6.798551+1 2.232287-3 6.618607+1 2.405288-3 6.454160+1 2.675030-3 6.191298+1 2.950048-3 5.907033+1 3.162671-3 5.689856+1 3.499188-3 5.352068+1 3.761421-3 5.098615+1 4.137563-3 4.752983+1 4.603332-3 4.350221+1 5.041713-3 4.001743+1 5.408443-3 3.734112+1 5.935763-3 3.382978+1 6.588751-3 3.002908+1 7.331139-3 2.635211+1 8.135824-3 2.303722+1 9.101152-3 1.979865+1 1.040388-2 1.641245+1 1.254214-2 1.252131+1 1.611291-2 8.636512+0 2.079125-2 5.880300+0 2.471156-2 4.504782+0 2.807191-2 3.678856+0 3.403022-2 2.687706+0 3.837712-2 2.198268+0 4.356520-2 1.764543+0 5.334555-2 1.234838+0 6.198331-2 9.408897-1 7.872957-2 6.054512-1 1.000507-1 3.865205-1 1.266824-1 2.466029-1 1.669562-1 1.446018-1 2.344229-1 7.436511-2 3.667728-1 3.065624-2 7.829788-1 6.761484-3 2.451607+0 6.905813-4 7.403736+0 7.573092-5 2.235892+1 8.303853-6 6.752287+1 9.105008-7 2.039158+2 9.983444-8 6.158159+2 1.094663-8 1.995262+3 1.042755-9 6.309573+3 1.04275-10 1.995262+4 1.04275-11 6.309573+4 1.04275-12 1.000000+5 4.15128-13 1 11000 7 7 2.298980+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 11000 7 0 2.298980+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 7.878000-7 1.258900-6 1.248600-6 1.584900-6 1.978900-6 1.995300-6 3.136300-6 2.511900-6 4.970700-6 3.162300-6 7.877900-6 3.981100-6 1.248600-5 5.011900-6 1.978800-5 6.309600-6 3.136200-5 7.943300-6 4.970500-5 1.000000-5 7.877600-5 1.258900-5 1.248500-4 1.584900-5 1.977700-4 1.995300-5 3.132400-4 2.511900-5 4.961800-4 3.162300-5 7.860600-4 3.981100-5 1.245400-3 5.011900-5 1.973100-3 6.309600-5 3.125600-3 7.943300-5 4.945200-3 1.000000-4 7.819800-3 1.258900-4 1.234500-2 1.584900-4 1.944600-2 1.995300-4 3.052100-2 2.511900-4 4.766200-2 3.162300-4 7.388300-2 3.981100-4 1.132100-1 5.011900-4 1.705100-1 6.309600-4 2.505500-1 7.943300-4 3.559100-1 1.000000-3 4.853700-1 1.258900-3 6.349300-1 1.584900-3 8.047400-1 1.995300-3 1.007200+0 2.511900-3 1.263700+0 3.162300-3 1.596300+0 3.981100-3 2.016600+0 5.011900-3 2.522100+0 6.309600-3 3.089900+0 7.943300-3 3.674700+0 1.000000-2 4.222100+0 1.258900-2 4.687900+0 1.584900-2 5.059800+0 1.995300-2 5.349400+0 2.511900-2 5.567200+0 3.162300-2 5.712400+0 3.981100-2 5.777100+0 5.011900-2 5.757200+0 6.309600-2 5.665500+0 7.943300-2 5.506000+0 1.000000-1 5.291400+0 1.258900-1 5.034100+0 1.584900-1 4.745900+0 1.995300-1 4.437300+0 2.511900-1 4.117900+0 3.162300-1 3.796200+0 3.981100-1 3.478500+0 5.011900-1 3.168900+0 6.309600-1 2.872500+0 7.943300-1 2.589100+0 1.000000+0 2.320300+0 1.258900+0 2.067100+0 1.584900+0 1.830300+0 1.995300+0 1.610600+0 2.511900+0 1.408600+0 3.162300+0 1.224400+0 3.981100+0 1.058100+0 5.011900+0 9.093900-1 6.309600+0 7.775200-1 7.943300+0 6.615900-1 1.000000+1 5.604700-1 1.258900+1 4.729100-1 1.584900+1 3.975700-1 1.995300+1 3.331300-1 2.511900+1 2.783000-1 3.162300+1 2.318700-1 3.981100+1 1.927100-1 5.011900+1 1.598100-1 6.309600+1 1.322700-1 7.943300+1 1.092700-1 1.000000+2 9.012200-2 1.258900+2 7.421700-2 1.584900+2 6.103400-2 1.995300+2 5.012900-2 2.511900+2 4.112500-2 3.162300+2 3.370100-2 3.981100+2 2.758900-2 5.011900+2 2.256500-2 6.309600+2 1.844000-2 7.943300+2 1.505600-2 1.000000+3 1.228400-2 1.258900+3 1.001500-2 1.584900+3 8.159500-3 1.995300+3 6.643600-3 2.511900+3 5.406000-3 3.162300+3 4.396400-3 3.981100+3 3.573300-3 5.011900+3 2.902900-3 6.309600+3 2.357000-3 7.943300+3 1.912900-3 1.000000+4 1.551800-3 1.258900+4 1.258300-3 1.584900+4 1.019800-3 1.995300+4 8.262500-4 2.511900+4 6.691600-4 3.162300+4 5.417400-4 3.981100+4 4.384200-4 5.011900+4 3.546800-4 6.309600+4 2.868400-4 7.943300+4 2.319000-4 1.000000+5 1.874300-4 1 11000 7 7 2.298980+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994176-4 2.511886-4 2.510167-4 3.162278-4 3.159554-4 3.981072-4 3.976784-4 5.011872-4 5.005122-4 6.309573-4 6.298959-4 7.943282-4 7.926725-4 1.000000-3 9.974248-4 1.258925-3 1.254929-3 1.584893-3 1.578693-3 1.995262-3 1.985587-3 2.511886-3 2.496641-3 3.162278-3 3.138133-3 3.981072-3 3.942868-3 5.011872-3 4.951745-3 6.309573-3 6.215635-3 7.943282-3 7.797743-3 1.000000-2 9.776265-3 1.258925-2 1.224734-2 1.584893-2 1.532780-2 1.995262-2 1.915767-2 2.511886-2 2.390523-2 3.162278-2 2.977176-2 3.981072-2 3.699816-2 5.011872-2 4.587488-2 6.309573-2 5.671617-2 7.943282-2 6.991640-2 1.000000-1 8.591480-2 1.258925-1 1.052236-1 1.584893-1 1.283867-1 1.995262-1 1.561034-1 2.511886-1 1.891364-1 3.162278-1 2.283708-1 3.981072-1 2.748277-1 5.011872-1 3.296651-1 6.309573-1 3.942560-1 7.943282-1 4.702763-1 1.000000+0 5.597337-1 1.258925+0 6.651024-1 1.584893+0 7.894418-1 1.995262+0 9.365123-1 2.511886+0 1.111041+0 3.162278+0 1.318739+0 3.981072+0 1.566626+0 5.011872+0 1.863377+0 6.309573+0 2.219524+0 7.943282+0 2.647996+0 1.000000+1 3.164559+0 1.258925+1 3.788565+0 1.584893+1 4.543683+0 1.995262+1 5.458822+0 2.511886+1 6.569549+0 3.162278+1 7.919487+0 3.981072+1 9.561929+0 5.011872+1 1.156268+1 6.309573+1 1.400229+1 7.943282+1 1.697988+1 1.000000+2 2.061724+1 1.258925+2 2.506450+1 1.584893+2 3.050611+1 1.995262+2 3.716932+1 2.511886+2 4.533443+1 3.162278+2 5.534697+1 3.981072+2 6.763141+1 5.011872+2 8.271469+1 6.309573+2 1.012435+2 7.943282+2 1.240202+2 1.000000+3 1.520295+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 11000 7 9 2.298980+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88193-10 1.995262-5 1.090619-9 2.511886-5 1.728487-9 3.162278-5 2.739501-9 3.981072-5 4.341871-9 5.011872-5 6.881068-9 6.309573-5 1.090500-8 7.943282-5 1.727652-8 1.000000-4 2.737244-8 1.258925-4 4.335754-8 1.584893-4 6.865252-8 1.995262-4 1.086645-7 2.511886-4 1.719038-7 3.162278-4 2.723384-7 3.981072-4 4.287299-7 5.011872-4 6.750186-7 6.309573-4 1.061490-6 7.943282-4 1.655784-6 1.000000-3 2.575190-6 1.258925-3 3.996361-6 1.584893-3 6.200455-6 1.995262-3 9.675371-6 2.511886-3 1.524593-5 3.162278-3 2.414516-5 3.981072-3 3.820391-5 5.011872-3 6.012686-5 6.309573-3 9.393865-5 7.943282-3 1.455395-4 1.000000-2 2.237346-4 1.258925-2 3.419186-4 1.584893-2 5.211271-4 1.995262-2 7.949538-4 2.511886-2 1.213630-3 3.162278-2 1.851017-3 3.981072-2 2.812556-3 5.011872-2 4.243847-3 6.309573-2 6.379562-3 7.943282-2 9.516426-3 1.000000-1 1.408520-2 1.258925-1 2.066893-2 1.584893-1 3.010263-2 1.995262-1 4.342285-2 2.511886-1 6.205220-2 3.162278-1 8.785697-2 3.981072-1 1.232795-1 5.011872-1 1.715221-1 6.309573-1 2.367013-1 7.943282-1 3.240520-1 1.000000+0 4.402663-1 1.258925+0 5.938230-1 1.584893+0 7.954514-1 1.995262+0 1.058750+0 2.511886+0 1.400845+0 3.162278+0 1.843539+0 3.981072+0 2.414446+0 5.011872+0 3.148495+0 6.309573+0 4.090049+0 7.943282+0 5.295286+0 1.000000+1 6.835441+0 1.258925+1 8.800689+0 1.584893+1 1.130525+1 1.995262+1 1.449380+1 2.511886+1 1.854932+1 3.162278+1 2.370329+1 3.981072+1 3.024879+1 5.011872+1 3.855604+1 6.309573+1 4.909344+1 7.943282+1 6.245294+1 1.000000+2 7.938276+1 1.258925+2 1.008280+2 1.584893+2 1.279832+2 1.995262+2 1.623569+2 2.511886+2 2.058542+2 3.162278+2 2.608808+2 3.981072+2 3.304758+2 5.011872+2 4.184725+2 6.309573+2 5.297138+2 7.943282+2 6.703081+2 1.000000+3 8.479705+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 11000 7 0 2.298980+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.150000-6 9.544867+4 5.164000-6 9.180590+4 5.195000-6 8.460820+4 5.248075-6 7.321184+4 5.300000-6 6.322070+4 5.330000-6 5.792260+4 5.370318-6 5.132763+4 5.420000-6 4.394090+4 5.450000-6 3.986380+4 5.495409-6 3.419176+4 5.535000-6 2.973750+4 5.570000-6 2.613380+4 5.600000-6 2.328550+4 5.635000-6 2.023300+4 5.660000-6 1.822350+4 5.688529-6 1.609595+4 5.720000-6 1.394070+4 5.743000-6 1.248710+4 5.770000-6 1.090660+4 5.792000-6 9.715660+3 5.815000-6 8.559410+3 5.835000-6 7.626750+3 5.855000-6 6.759070+3 5.870000-6 6.149060+3 5.892000-6 5.316390+3 5.910000-6 4.688200+3 5.927000-6 4.137350+3 5.942000-6 3.684280+3 5.956621-6 3.272176+3 5.970000-6 2.919770+3 5.985000-6 2.551730+3 5.996000-6 2.300020+3 6.010000-6 2.000950+3 6.023000-6 1.744490+3 6.035000-6 1.525330+3 6.043000-6 1.388510+3 6.052000-6 1.243250+3 6.062000-6 1.092480+3 6.070000-6 9.798040+2 6.077000-6 8.869170+2 6.085000-6 7.871960+2 6.092000-6 7.055010+2 6.100000-6 6.183850+2 6.108000-6 5.378880+2 6.115000-6 4.727960+2 6.121500-6 4.167590+2 6.127000-6 3.726080+2 6.133000-6 3.278550+2 6.139000-6 2.866070+2 6.144000-6 2.548810+2 6.150000-6 2.199640+2 6.155000-6 1.934520+2 6.160000-6 1.692990+2 6.165950-6 1.435740+2 6.173000-6 1.173010+2 6.183000-6 8.775710+1 6.188000-6 7.633350+1 6.191000-6 7.054570+1 6.194000-6 6.554640+1 6.197000-6 6.133450+1 6.199000-6 5.896140+1 6.201500-6 5.648210+1 6.203000-6 5.525370+1 6.205000-6 5.391660+1 6.207000-6 5.292250+1 6.209000-6 5.227010+1 6.211000-6 5.195810+1 6.213000-6 5.198540+1 6.215000-6 5.235080+1 6.217000-6 5.305200+1 6.219000-6 5.408990+1 6.221000-6 5.546270+1 6.223000-6 5.716830+1 6.225000-6 5.920590+1 6.227800-6 6.261420+1 6.230000-6 6.574470+1 6.233000-6 7.065340+1 6.237348-6 7.906915+1 6.242000-6 8.976550+1 6.255000-6 1.288150+2 6.260000-6 1.473800+2 6.265000-6 1.678840+2 6.272000-6 1.998200+2 6.277000-6 2.249150+2 6.282000-6 2.518920+2 6.288000-6 2.867240+2 6.295000-6 3.307180+2 6.302000-6 3.782820+2 6.307000-6 4.144160+2 6.312000-6 4.523360+2 6.320000-6 5.166820+2 6.327000-6 5.766270+2 6.335000-6 6.492590+2 6.342000-6 7.163660+2 6.350000-6 7.970690+2 6.357000-6 8.711790+2 6.365000-6 9.597220+2 6.376000-6 1.088160+3 6.385000-6 1.198880+3 6.395000-6 1.327840+3 6.405000-6 1.462780+3 6.415000-6 1.603650+3 6.425000-6 1.750450+3 6.440000-6 1.981160+3 6.455000-6 2.224360+3 6.470000-6 2.479850+3 6.485000-6 2.746960+3 6.500000-6 3.025500+3 6.515000-6 3.315350+3 6.535000-6 3.718270+3 6.557000-6 4.182880+3 6.580000-6 4.691190+3 6.600000-6 5.151440+3 6.627000-6 5.798010+3 6.650000-6 6.370790+3 6.670000-6 6.884410+3 6.700000-6 7.680600+3 6.730000-6 8.505840+3 6.760830-6 9.382547+3 6.790000-6 1.023650+4 6.820000-6 1.113790+4 6.850000-6 1.206190+4 6.890000-6 1.332470+4 6.930000-6 1.462030+4 6.980000-6 1.628100+4 7.020000-6 1.763900+4 7.070000-6 1.936730+4 7.130000-6 2.148050+4 7.170000-6 2.290920+4 7.230000-6 2.507640+4 7.290000-6 2.726620+4 7.350000-6 2.947200+4 7.420000-6 3.205750+4 7.500000-6 3.501810+4 7.585776-6 3.818693+4 7.673615-6 4.141468+4 7.770000-6 4.492220+4 7.880000-6 4.886770+4 8.000000-6 5.308320+4 8.128305-6 5.747174+4 8.270000-6 6.215900+4 8.420000-6 6.692430+4 8.550000-6 7.088280+4 8.709636-6 7.551573+4 8.850000-6 7.937830+4 9.050000-6 8.453980+4 9.225714-6 8.874660+4 9.440609-6 9.348474+4 9.700000-6 9.863200+4 9.930000-6 1.027000+5 1.023293-5 1.073921+5 1.059254-5 1.120598+5 1.096478-5 1.159635+5 1.135011-5 1.191298+5 1.180000-5 1.218600+5 1.230269-5 1.238813+5 1.273503-5 1.249018+5 1.333521-5 1.254223+5 1.400000-5 1.250290+5 1.462177-5 1.239673+5 1.548817-5 1.216698+5 1.640590-5 1.185437+5 1.737801-5 1.147644+5 1.862087-5 1.095699+5 2.000000-5 1.036980+5 2.162719-5 9.695412+4 2.350000-5 8.963480+4 2.580000-5 8.147390+4 2.884032-5 7.210806+4 3.235937-5 6.311064+4 3.622000-5 5.503438+4 3.622000-5 1.769510+6 3.642000-5 1.818429+6 3.642000-5 2.665169+6 3.710000-5 2.926816+6 3.715352-5 2.947248+6 3.780000-5 3.197001+6 3.850000-5 3.465733+6 3.935501-5 3.790408+6 4.000000-5 4.029927+6 4.030000-5 4.142530+6 4.073803-5 4.301598+6 4.120975-5 4.473422+6 4.168694-5 4.642149+6 4.220000-5 4.823352+6 4.265795-5 4.979236+6 4.330000-5 5.197115+6 4.365158-5 5.311232+6 4.450000-5 5.584670+6 4.466836-5 5.636263+6 4.570882-5 5.951264+6 4.680000-5 6.259259+6 4.680600-5 6.260920+6 4.800000-5 6.572863+6 4.950000-5 6.925072+6 4.954502-5 6.935289+6 5.080000-5 7.195362+6 5.230000-5 7.464812+6 5.400000-5 7.716247+6 5.580000-5 7.921366+6 5.754399-5 8.062838+6 5.950000-5 8.158927+6 5.956621-5 8.160127+6 6.150000-5 8.194689+6 6.350000-5 8.174760+6 6.448000-5 8.138993+6 6.448000-5 8.528693+6 6.540000-5 8.515603+6 6.580000-5 8.509465+6 6.640000-5 8.486193+6 6.770000-5 8.435342+6 6.800000-5 8.423294+6 6.920000-5 8.349724+6 7.070000-5 8.258651+6 7.079458-5 8.251108+6 7.244360-5 8.119733+6 7.328245-5 8.053883+6 7.413102-5 7.973995+6 7.585776-5 7.814865+6 7.650000-5 7.753449+6 7.800000-5 7.598539+6 7.900000-5 7.497371+6 8.000000-5 7.394505+6 8.035261-5 7.355728+6 8.300000-5 7.073173+6 8.400000-5 6.966769+6 8.609938-5 6.738963+6 8.709636-5 6.634236+6 8.810489-5 6.528293+6 8.912509-5 6.418777+6 9.225714-5 6.098667+6 9.240200-5 6.084206+6 9.332543-5 5.992338+6 9.650000-5 5.681360+6 9.800000-5 5.542486+6 1.000000-4 5.362881+6 1.047129-4 4.958693+6 1.059254-4 4.861858+6 1.083927-4 4.671250+6 1.100000-4 4.550269+6 1.135011-4 4.301431+6 1.161449-4 4.127700+6 1.188502-4 3.957903+6 1.230269-4 3.711179+6 1.273503-4 3.478732+6 1.318257-4 3.259124+6 1.333521-4 3.187025+6 1.400000-4 2.900146+6 1.428894-4 2.786595+6 1.450000-4 2.707417+6 1.520000-4 2.463161+6 1.531087-4 2.427593+6 1.566751-4 2.317197+6 1.584893-4 2.263614+6 1.659587-4 2.057521+6 1.678804-4 2.008610+6 1.720000-4 1.909525+6 1.737801-4 1.868088+6 1.800000-4 1.732629+6 1.862087-4 1.610472+6 1.883649-4 1.571066+6 1.905461-4 1.531872+6 1.950000-4 1.455726+6 2.041738-4 1.314486+6 2.065380-4 1.281400+6 2.089296-4 1.248594+6 2.150000-4 1.170108+6 2.264644-4 1.039543+6 2.290868-4 1.012719+6 2.300000-4 1.003539+6 2.400000-4 9.092950+5 2.511886-4 8.179711+5 2.540973-4 7.962510+5 2.583000-4 7.663273+5 2.722701-4 6.769400+5 2.786121-4 6.411271+5 2.884032-4 5.906512+5 2.917427-4 5.747547+5 3.090295-4 5.008801+5 3.126079-4 4.872446+5 3.273407-4 4.360636+5 3.311311-4 4.240102+5 3.467369-4 3.791524+5 3.548134-4 3.584734+5 3.672823-4 3.293957+5 3.890451-4 2.857649+5 4.000000-4 2.668110+5 4.120975-4 2.477462+5 4.365158-4 2.145066+5 4.466836-4 2.024908+5 4.677351-4 1.802859+5 4.954502-4 1.558495+5 5.011872-4 1.513727+5 5.248075-4 1.345915+5 5.559043-4 1.161573+5 5.688529-4 1.095120+5 5.888437-4 1.001840+5 6.200000-4 8.767362+4 6.456542-4 7.895223+4 6.606934-4 7.435496+4 7.000000-4 6.393630+4 7.161434-4 6.024296+4 7.244360-4 5.846259+4 7.500000-4 5.336286+4 8.035261-4 4.450203+4 8.222426-4 4.188637+4 8.609938-4 3.706852+4 9.120108-4 3.181069+4 9.440609-4 2.902429+4 9.772372-4 2.645998+4 1.035142-3 2.267573+4 1.064000-3 2.106644+4 1.064000-3 2.080480+5 1.065000-3 2.147796+5 1.066000-3 2.209929+5 1.067500-3 2.292183+5 1.068800-3 2.354185+5 1.070300-3 2.416846+5 1.071519-3 2.460605+5 1.071800-3 2.470810+5 1.074000-3 2.536326+5 1.076300-3 2.590460+5 1.079000-3 2.638640+5 1.081800-3 2.674143+5 1.085500-3 2.703091+5 1.090000-3 2.717211+5 1.094000-3 2.715526+5 1.096478-3 2.707455+5 1.100000-3 2.696059+5 1.109175-3 2.643762+5 1.148154-3 2.381738+5 1.173000-3 2.250730+5 1.188502-3 2.179944+5 1.216186-3 2.061128+5 1.244515-3 1.948706+5 1.258925-3 1.893161+5 1.288250-3 1.786778+5 1.380384-3 1.502186+5 1.400000-3 1.449890+5 1.445440-3 1.338041+5 1.500000-3 1.219088+5 1.621810-3 9.996708+4 1.640590-3 9.708221+4 1.730000-3 8.482716+4 1.737801-3 8.383185+4 1.883649-3 6.785677+4 1.905461-3 6.583635+4 2.018366-3 5.660314+4 2.041738-3 5.491802+4 2.187762-3 4.567057+4 2.238721-3 4.294611+4 2.290868-3 4.038435+4 2.371374-3 3.676116+4 2.570396-3 2.952152+4 2.630268-3 2.772707+4 2.722701-3 2.523805+4 2.786121-3 2.367669+4 3.019952-3 1.893446+4 3.090295-3 1.776231+4 3.198895-3 1.613882+4 3.273407-3 1.512603+4 3.548134-3 1.205629+4 3.630781-3 1.129919+4 3.715352-3 1.058968+4 3.845918-3 9.595150+3 4.168694-3 7.622852+3 4.265795-3 7.137461+3 4.415704-3 6.466742+3 4.518559-3 6.049418+3 4.897788-3 4.789770+3 5.011872-3 4.480458+3 5.300000-3 3.810182+3 5.308844-3 3.791564+3 5.754399-3 2.992233+3 5.821032-3 2.892725+3 5.956621-3 2.703386+3 6.237348-3 2.361090+3 6.382635-3 2.206555+3 6.839116-3 1.796581+3 6.928200-3 1.728715+3 7.079458-3 1.621038+3 7.413102-3 1.413319+3 7.673615-3 1.275193+3 8.222426-3 1.035666+3 8.413951-3 9.662285+2 8.810489-3 8.410116+2 9.332543-3 7.070611+2 9.885531-3 5.933077+2 1.011579-2 5.530803+2 1.083927-2 4.480372+2 1.150000-2 3.740776+2 1.202264-2 3.261960+2 1.230269-2 3.038367+2 1.273503-2 2.731398+2 1.364583-2 2.207379+2 1.428894-2 1.915166+2 1.462177-2 1.782665+2 1.500000-2 1.646314+2 1.659587-2 1.201467+2 1.778279-2 9.688353+1 1.798871-2 9.343825+1 1.819701-2 9.011352+1 1.840772-2 8.690711+1 2.238721-2 4.694373+1 2.264644-2 4.527256+1 2.290868-2 4.364600+1 2.511886-2 3.257051+1 2.851018-2 2.177914+1 2.884032-2 2.099629+1 2.917427-2 2.024160+1 3.427678-2 1.209147+1 3.672823-2 9.678366+0 3.715352-2 9.325690+0 4.570882-2 4.780856+0 4.677351-2 4.438795+0 4.731513-2 4.276040+0 5.011872-2 3.547248+0 5.432503-2 2.730750+0 6.025596-2 1.950812+0 6.456542-2 1.558976+0 6.531306-2 1.501598+0 7.079458-2 1.154930+0 7.328245-2 1.032019+0 7.498942-2 9.574350-1 8.912509-2 5.454743-1 9.120108-2 5.060539-1 1.059254-1 3.107742-1 1.071519-1 2.993349-1 1.109175-1 2.674803-1 1.174898-1 2.220250-1 1.244515-1 1.842948-1 1.288250-1 1.648088-1 1.428894-1 1.178876-1 1.584893-1 8.432529-2 1.603245-1 8.127731-2 1.621810-1 7.834134-2 1.640590-1 7.551143-2 1.840772-1 5.226777-2 1.862087-1 5.037978-2 1.905461-1 4.680590-2 2.018366-1 3.903681-2 2.065380-1 3.630515-2 2.089296-1 3.501188-2 2.238721-1 2.816428-2 2.264644-1 2.717463-2 2.290868-1 2.621974-2 2.344229-1 2.440949-2 2.540973-1 1.900741-2 2.600160-1 1.769637-2 2.691535-1 1.592689-2 2.786121-1 1.433600-2 2.884032-1 1.290401-2 2.951209-1 1.202975-2 3.054921-1 1.084951-2 3.198895-1 9.455470-3 3.311311-1 8.528805-3 3.349654-1 8.246160-3 3.427678-1 7.708659-3 3.548134-1 6.968288-3 3.630781-1 6.514648-3 3.672823-1 6.299030-3 3.801894-1 5.706267-3 3.890451-1 5.342917-3 3.935501-1 5.170010-3 4.073803-1 4.684154-3 4.216965-1 4.254012-3 4.265795-1 4.119806-3 4.518559-1 3.509681-3 4.623810-1 3.297100-3 4.677351-1 3.195690-3 4.954502-1 2.734248-3 5.011872-1 2.652419-3 5.128614-1 2.496033-3 5.432503-1 2.144781-3 5.623413-1 1.963232-3 5.888437-1 1.745225-3 5.956621-1 1.694617-3 6.165950-1 1.555690-3 6.382635-1 1.428385-3 6.456542-1 1.388310-3 6.531306-1 1.349359-3 6.683439-1 1.277056-3 6.918310-1 1.176006-3 6.998420-1 1.144132-3 7.161434-1 1.082954-3 7.244360-1 1.054586-3 7.328245-1 1.027019-3 7.498942-1 9.740298-4 7.585776-1 9.485694-4 7.762471-1 8.996294-4 7.943282-1 8.546900-4 8.035261-1 8.331164-4 8.128305-1 8.120875-4 8.222427-1 7.915894-4 8.413951-1 7.521340-4 8.810489-1 6.814000-4 8.912509-1 6.648165-4 9.015711-1 6.486367-4 9.225714-1 6.174499-4 9.549926-1 5.750209-4 9.885531-1 5.355975-4 1.000000+0 5.230668-4 1.011579+0 5.108298-4 1.035142+0 4.877961-4 1.074800+0 4.523989-4 1.109175+0 4.247901-4 1.135011+0 4.056700-4 1.188502+0 3.711090-4 1.202264+0 3.629569-4 1.258925+0 3.321004-4 1.303167+0 3.115205-4 1.318257+0 3.049639-4 1.380384+0 2.800893-4 1.412538+0 2.688663-4 1.428894+0 2.634249-4 1.445440+0 2.581068-4 1.513561+0 2.378868-4 1.548817+0 2.288189-4 1.584893+0 2.201214-4 1.659587+0 2.037054-4 1.717908+0 1.926284-4 1.757924+0 1.855976-4 1.840772+0 1.722969-4 1.862087+0 1.692330-4 1.927525+0 1.603645-4 1.972423+0 1.547241-4 2.089296+0 1.414760-4 2.113489+0 1.390596-4 2.187762+0 1.320555-4 2.213095+0 1.298056-4 2.371374+0 1.170890-4 2.483133+0 1.095931-4 2.511886+0 1.077997-4 2.691535+0 9.763871-5 2.851018+0 9.017484-5 2.884032+0 8.875510-5 3.126079+0 7.942373-5 3.311311+0 7.356295-5 3.349654+0 7.244619-5 3.630781+0 6.508943-5 3.890451+0 5.956593-5 3.935501+0 5.869384-5 4.315191+0 5.216156-5 4.623810+0 4.788193-5 4.677351+0 4.720493-5 5.188000+0 4.152684-5 5.559043+0 3.822365-5 5.688529+0 3.718395-5 6.309573+0 3.284435-5 6.839116+0 2.990343-5 7.000000+0 2.910633-5 7.852356+0 2.546851-5 8.511380+0 2.324938-5 8.810489+0 2.235976-5 1.023293+1 1.888177-5 1.059254+1 1.817650-5 1.083927+1 1.772163-5 1.288250+1 1.465392-5 1.318257+1 1.429320-5 1.380384+1 1.359819-5 1.400000+1 1.339234-5 1.659587+1 1.114298-5 1.678804+1 1.100723-5 1.800000+1 1.021995-5 1.927525+1 9.501667-6 1.949845+1 9.386061-6 2.137962+1 8.510451-6 2.264644+1 8.012938-6 2.754229+1 6.528994-6 2.985383+1 6.000974-6 3.273407+1 5.450138-6 3.507519+1 5.076212-6 4.315191+1 4.101457-6 4.786301+1 3.686697-6 5.495409+1 3.198538-6 6.095369+1 2.878797-6 8.035261+1 2.173891-6 9.440609+1 1.845383-6 1.096478+2 1.585081-6 1.216186+2 1.427856-6 1.603245+2 1.080704-6 1.883649+2 9.186210-7 2.187762+2 7.900045-7 2.426610+2 7.120120-7 6.382635+2 2.698736-7 7.498942+2 2.295827-7 8.709636+2 1.975816-7 9.660509+2 1.781273-7 1.000000+5 1.717951-9 1 11000 7 0 2.298980+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.150000-6 5.150000-6 3.622000-5 5.150000-6 3.622000-5 3.525368-5 3.642000-5 3.528594-5 3.642000-5 3.564624-5 4.030000-5 3.592348-5 4.950000-5 3.611975-5 6.448000-5 3.618633-5 6.448000-5 3.642624-5 1.000000-4 3.678468-5 2.540973-4 3.751346-5 4.677351-4 3.817127-5 7.500000-4 3.872219-5 1.064000-3 3.911765-5 1.064000-3 7.020546-5 1.070300-3 7.074070-5 1.081800-3 7.110339-5 1.109175-3 7.124734-5 2.630268-3 7.160148-5 1.500000-2 7.174185-5 1.000000+5 7.174380-5 1 11000 7 7 2.298980+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.150000-6 0.0 6.448000-5 0.0 6.448000-5 2.20870-11 6.540000-5 2.32477-11 6.770000-5 2.60233-11 6.920000-5 2.77592-11 7.244360-5 3.12696-11 7.328245-5 3.20997-11 7.413102-5 3.30120-11 7.800000-5 3.68268-11 8.300000-5 4.14072-11 8.609938-5 4.40968-11 8.912509-5 4.66020-11 9.332543-5 4.98491-11 9.650000-5 5.22790-11 1.047129-4 5.79406-11 1.100000-4 6.12666-11 1.161449-4 6.48744-11 1.230269-4 6.86949-11 1.333521-4 7.39802-11 1.450000-4 7.96667-11 1.737801-4 9.33301-11 2.041738-4 1.07327-10 2.300000-4 1.18631-10 2.540973-4 1.28389-10 2.786121-4 1.37613-10 3.126079-4 1.49421-10 3.548134-4 1.63140-10 4.000000-4 1.76849-10 4.466836-4 1.89852-10 5.011872-4 2.03462-10 5.688529-4 2.18589-10 6.456542-4 2.33950-10 7.244360-4 2.47880-10 8.222426-4 2.62863-10 9.440609-4 2.78909-10 1.064000-3 2.92474-10 1.064000-3 1.843234-5 1.067500-3 1.864061-5 1.071800-3 1.879422-5 1.079000-3 1.893212-5 1.094000-3 1.903292-5 2.041738-3 1.919284-5 4.168694-3 1.926460-5 3.715352-2 1.928727-5 1.000000+5 1.928238-5 1 11000 7 9 2.298980+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.150000-6 0.0 3.622000-5 3.107000-5 3.622000-5 9.663228-7 3.642000-5 1.134058-6 3.642000-5 7.737607-7 3.715352-5 1.432207-6 3.780000-5 2.023360-6 3.850000-5 2.673091-6 3.935501-5 3.477267-6 4.120975-5 5.250112-6 4.450000-5 8.451102-6 5.080000-5 1.466864-5 6.448000-5 2.829367-5 6.448000-5 2.805373-5 1.059254-4 6.910057-5 6.200000-4 5.815004-4 1.064000-3 1.024882-3 1.064000-3 9.753622-4 1.109175-3 1.018879-3 1.000000+5 1.000000+5 1 11000 7 0 2.298980+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.064000-3 1.869816+5 1.065000-3 1.937660+5 1.066000-3 2.000320+5 1.067500-3 2.083360+5 1.068800-3 2.146040+5 1.070300-3 2.209480+5 1.071800-3 2.264220+5 1.074000-3 2.330880+5 1.076300-3 2.386200+5 1.079000-3 2.435760+5 1.081800-3 2.472680+5 1.085500-3 2.503480+5 1.090000-3 2.519820+5 1.094000-3 2.520080+5 1.100000-3 2.503480+5 1.109175-3 2.455455+5 1.148154-3 2.210249+5 1.173000-3 2.088880+5 1.244515-3 1.810844+5 1.500000-3 1.136314+5 1.730000-3 7.924100+4 2.041738-3 5.139360+4 2.290868-3 3.783152+4 2.722701-3 2.367008+4 3.198895-3 1.514788+4 3.715352-3 9.944803+3 4.415704-3 6.075762+3 5.300000-3 3.581100+3 6.382635-3 2.074399+3 7.673615-3 1.199021+3 9.332543-3 6.649116+2 1.150000-2 3.518080+2 1.428894-2 1.801210+2 1.778279-2 9.112023+1 2.264644-2 4.257960+1 2.917427-2 1.903707+1 3.427678-2 1.137235+1 4.677351-2 4.174421+0 6.456542-2 1.466084+0 1.109175-1 2.515018-1 1.584893-1 7.928602-2 1.905461-1 4.400307-2 2.238721-1 2.647851-2 2.600160-1 1.663678-2 2.951209-1 1.130916-2 3.311311-1 8.017973-3 3.672823-1 5.921866-3 4.073803-1 4.403719-3 4.518559-1 3.299567-3 4.954502-1 2.570595-3 5.432503-1 2.016417-3 5.956621-1 1.593197-3 6.531306-1 1.268629-3 7.161434-1 1.018130-3 7.762471-1 8.457262-4 8.413951-1 7.070501-4 9.225714-1 5.804776-4 1.011579+0 4.802558-4 1.135011+0 3.813932-4 1.258925+0 3.122246-4 1.380384+0 2.633269-4 1.513561+0 2.236499-4 1.659587+0 1.915128-4 1.840772+0 1.619841-4 2.089296+0 1.330075-4 2.371374+0 1.100807-4 2.691535+0 9.179420-5 3.126079+0 7.466991-5 3.630781+0 6.119321-5 4.315191+0 4.903936-5 5.188000+0 3.904134-5 6.309573+0 3.087839-5 7.852356+0 2.394412-5 1.023293+1 1.775201-5 1.288250+1 1.377727-5 1.659587+1 1.047615-5 2.137962+1 8.001134-6 3.273407+1 5.123987-6 5.495409+1 3.007118-6 1.096478+2 1.490236-6 2.187762+2 7.427432-7 8.709636+2 1.857644-7 1.000000+5 1.615200-9 1 11000 7 0 2.298980+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.064000-3 7.370800-5 1.000000+5 7.370800-5 1 11000 7 7 2.298980+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.064000-3 2.050900-5 1.000000+5 2.050900-5 1 11000 7 9 2.298980+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.064000-3 9.697830-4 1.000000+5 1.000000+5 1 11000 7 0 2.298980+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 6.448000-5 3.897000+5 6.540000-5 4.095500+5 6.640000-5 4.297420+5 6.770000-5 4.541260+5 6.920000-5 4.795020+5 7.079458-5 5.035129+5 7.244360-5 5.252605+5 7.413102-5 5.445774+5 7.585776-5 5.615210+5 7.800000-5 5.789020+5 8.035261-5 5.937738+5 8.300000-5 6.059000+5 8.609938-5 6.147680+5 8.912509-5 6.188249+5 9.240200-5 6.190144+5 9.650000-5 6.144560+5 1.000000-4 6.073520+5 1.047129-4 5.943768+5 1.100000-4 5.767300+5 1.161449-4 5.539780+5 1.230269-4 5.274093+5 1.318257-4 4.936927+5 1.428894-4 4.536752+5 1.566751-4 4.087969+5 1.737801-4 3.606871+5 1.905461-4 3.205442+5 2.089296-4 2.828823+5 2.290868-4 2.477814+5 2.511886-4 2.154206+5 2.786121-4 1.825218+5 3.126079-4 1.506160+5 3.548134-4 1.209844+5 4.000000-4 9.761520+4 4.466836-4 7.953013+4 5.011872-4 6.371509+4 5.688529-4 4.952245+4 6.456542-4 3.821194+4 7.244360-4 2.998000+4 8.222426-4 2.277786+4 9.440609-4 1.674691+4 1.071519-3 1.254324+4 1.216186-3 9.326569+3 1.400000-3 6.661420+3 1.621810-3 4.647650+3 1.883649-3 3.197538+3 2.187762-3 2.182588+3 2.570396-3 1.435414+3 3.019952-3 9.366694+2 3.548134-3 6.066609+2 4.168694-3 3.900480+2 4.897788-3 2.489234+2 5.821032-3 1.526547+2 6.928200-3 9.251225+1 8.222426-3 5.609978+1 9.885531-3 3.250819+1 1.202264-2 1.805989+1 1.462177-2 9.957020+0 1.798871-2 5.260420+0 2.238721-2 2.661878+0 2.851018-2 1.243624+0 3.672823-2 5.559010-1 4.731513-2 2.466210-1 7.079458-2 6.702459-2 1.288250-1 9.593280-3 1.603245-1 4.748655-3 2.018366-1 2.284179-3 2.344229-1 1.428510-3 2.691535-1 9.329575-4 3.054921-1 6.358946-4 3.427678-1 4.517975-4 3.801894-1 3.343746-4 4.216965-1 2.492532-4 4.677351-1 1.872663-4 5.128614-1 1.462562-4 5.623413-1 1.150302-4 6.165950-1 9.114526-5 6.683439-1 7.483557-5 7.244360-1 6.187200-5 7.943282-1 5.017006-5 8.810489-1 3.997493-5 9.549926-1 3.371196-5 1.074800+0 2.651500-5 1.188502+0 2.174780-5 1.303167+0 1.825971-5 1.428894+0 1.544048-5 1.548817+0 1.341546-5 1.717908+0 1.129269-5 1.927525+0 9.400559-6 2.187762+0 7.740195-6 2.483133+0 6.424248-6 2.851018+0 5.285362-6 3.311311+0 4.312036-6 3.890451+0 3.491240-6 4.623810+0 2.806572-6 5.559043+0 2.240648-6 6.839116+0 1.752852-6 8.511380+0 1.362930-6 1.059254+1 1.066034-6 1.380384+1 7.971174-7 1.927525+1 5.570318-7 2.985383+1 3.518357-7 4.786301+1 2.161372-7 9.440609+1 1.082120-7 1.883649+2 5.387364-8 7.498942+2 1.346380-8 1.000000+5 1.00790-10 1 11000 7 0 2.298980+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 6.448000-5 4.143700-5 1.000000+5 4.143700-5 1 11000 7 7 2.298980+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 6.448000-5 4.83380-10 1.000000+5 4.83380-10 1 11000 7 9 2.298980+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 6.448000-5 2.304252-5 1.000000+5 1.000000+5 1 11000 7 0 2.298980+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 3.642000-5 8.467400+5 3.715352-5 9.405400+5 3.780000-5 1.023600+6 3.850000-5 1.113200+6 3.935501-5 1.221700+6 4.000000-5 1.302600+6 4.073803-5 1.393300+6 4.168694-5 1.507300+6 4.265795-5 1.620500+6 4.365158-5 1.732100+6 4.466836-5 1.841000+6 4.570882-5 1.946500+6 4.680000-5 2.050200+6 4.800000-5 2.156000+6 4.950000-5 2.275200+6 5.080000-5 2.366600+6 5.230000-5 2.458300+6 5.400000-5 2.544300+6 5.580000-5 2.615000+6 5.754399-5 2.664400+6 5.950000-5 2.698900+6 6.150000-5 2.713100+6 6.350000-5 2.708800+6 6.580000-5 2.683300+6 6.800000-5 2.642700+6 7.070000-5 2.575900+6 7.328245-5 2.498600+6 7.585776-5 2.412300+6 7.900000-5 2.299800+6 8.300000-5 2.152500+6 8.709636-5 2.003800+6 9.225714-5 1.825300+6 9.800000-5 1.643000+6 1.059254-4 1.423600+6 1.161449-4 1.191200+6 1.273503-4 9.896600+5 1.400000-4 8.124000+5 1.531087-4 6.695300+5 1.659587-4 5.588400+5 1.800000-4 4.627700+5 1.950000-4 3.817400+5 2.150000-4 2.995600+5 2.400000-4 2.260700+5 2.722701-4 1.624200+5 3.090295-4 1.156600+5 3.467369-4 8.429800+4 3.890451-4 6.093100+4 4.365158-4 4.371300+4 4.954502-4 3.011900+4 5.559043-4 2.133400+4 6.200000-4 1.529200+4 7.000000-4 1.049000+4 8.035261-4 6.789200+3 9.120108-4 4.524000+3 1.035142-3 2.993800+3 1.188502-3 1.895700+3 1.380384-3 1.146300+3 1.621810-3 6.614300+2 1.883649-3 3.941700+2 2.187762-3 2.332700+2 2.570396-3 1.315800+2 3.019952-3 7.363700+1 3.548134-3 4.089600+1 4.168694-3 2.254000+1 4.897788-3 1.232900+1 5.754399-3 6.691300+0 6.839116-3 3.448600+0 8.222426-3 1.686000+0 9.885531-3 8.182400-1 1.273503-2 3.001211-1 1.659587-2 1.043214-1 2.290868-2 2.857322-2 4.570882-2 1.761169-3 6.025596-2 5.798908-4 7.498942-2 2.423446-4 9.120108-2 1.118104-4 1.071519-1 5.953704-5 1.244515-1 3.339246-5 1.428894-1 1.971280-5 1.640590-1 1.172457-5 1.862087-1 7.336149-6 2.089296-1 4.821915-6 2.344229-1 3.191895-6 2.600160-1 2.216540-6 2.884032-1 1.549774-6 3.198895-1 1.091483-6 3.548134-1 7.745900-7 3.890451-1 5.750227-7 4.265795-1 4.296532-7 4.677351-1 3.231689-7 5.128614-1 2.446380-7 5.623413-1 1.864873-7 6.165950-1 1.432353-7 6.683439-1 1.144950-7 7.328245-1 8.936010-8 8.035261-1 7.028606-8 9.015711-1 5.241169-8 9.549926-1 4.554014-8 1.000000+0 4.093200-8 1.074800+0 3.496000-8 1.135011+0 3.126206-8 1.202264+0 2.795640-8 1.303167+0 2.410389-8 1.412538+0 2.093304-8 1.659587+0 1.596638-8 1.862087+0 1.324999-8 2.089296+0 1.107604-8 2.371374+0 9.167470-9 2.691535+0 7.644347-9 3.126079+0 6.217929-9 3.630781+0 5.095710-9 4.315191+0 4.083630-9 5.188000+0 3.251044-9 6.309573+0 2.571262-9 7.852356+0 1.993863-9 1.023293+1 1.478187-9 1.318257+1 1.118771-9 1.800000+1 7.99350-10 2.754229+1 5.10707-10 4.315191+1 3.20799-10 8.035261+1 1.70069-10 1.603245+2 8.45603-11 6.382635+2 2.11194-11 1.000000+5 1.34500-13 1 11000 7 0 2.298980+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 3.642000-5 3.642000-5 1.000000+5 3.642000-5 1 11000 7 9 2.298980+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.642000-5 0.0 1.000000+5 1.000000+5 1 11000 7 0 2.298980+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 3.622000-5 1.714476+6 3.710000-5 1.939940+6 3.780000-5 2.121192+6 3.850000-5 2.301520+6 3.935501-5 2.519090+6 4.030000-5 2.755444+6 4.120975-5 2.977428+6 4.220000-5 3.211504+6 4.330000-5 3.461080+6 4.450000-5 3.719500+6 4.570882-5 3.963728+6 4.680600-5 4.170410+6 4.800000-5 4.378360+6 4.954502-5 4.619998+6 5.080000-5 4.793000+6 5.230000-5 4.972080+6 5.400000-5 5.138920+6 5.580000-5 5.274720+6 5.754399-5 5.368036+6 5.950000-5 5.430920+6 6.150000-5 5.453720+6 6.350000-5 5.439240+6 6.580000-5 5.383120+6 6.800000-5 5.297040+6 7.070000-5 5.157480+6 7.328245-5 4.998321+6 7.650000-5 4.777320+6 8.000000-5 4.521880+6 8.400000-5 4.224960+6 8.810489-5 3.926700+6 9.332543-5 3.569221+6 1.000000-4 3.157880+6 1.083927-4 2.714516+6 1.188502-4 2.265753+6 1.318257-4 1.834343+6 1.450000-4 1.499240+6 1.584893-4 1.233013+6 1.720000-4 1.023100+6 1.883649-4 8.248730+5 2.065380-4 6.579281+5 2.300000-4 5.008640+5 2.583000-4 3.703391+5 2.917427-4 2.679635+5 3.273407-4 1.959752+5 3.672823-4 1.421846+5 4.120975-4 1.023260+5 4.677351-4 7.070157+4 5.248075-4 5.021140+4 5.888437-4 3.543574+4 6.606934-4 2.484175+4 7.500000-4 1.669136+4 8.609938-4 1.075586+4 9.772372-4 7.135690+3 1.109175-3 4.703469+3 1.288250-3 2.852443+3 1.500000-3 1.702240+3 1.737801-3 1.026017+3 2.018366-3 6.088081+2 2.371374-3 3.443752+2 2.786121-3 1.932606+2 3.273407-3 1.076185+2 3.845918-3 5.946274+1 4.518559-3 3.259334+1 5.308844-3 1.772712+1 6.237348-3 9.568030+0 7.413102-3 4.901791+0 8.810489-3 2.492514+0 1.083927-2 1.097769+0 1.364583-2 4.377856-1 1.819701-2 1.375439-1 2.511886-2 3.726569-2 5.432503-2 1.607760-3 7.328245-2 4.775220-4 8.912509-2 2.174260-4 1.059254-1 1.093932-4 1.244515-1 5.802946-5 1.428894-1 3.394504-5 1.621810-1 2.091233-5 1.840772-1 1.298104-5 2.065380-1 8.479608-6 2.290868-1 5.821918-6 2.540973-1 4.027534-6 2.786121-1 2.922558-6 3.054921-1 2.135379-6 3.349654-1 1.571606-6 3.630781-1 1.209685-6 3.935501-1 9.371241-7 4.265795-1 7.310065-7 4.623810-1 5.742896-7 5.011872-1 4.545090-7 5.432503-1 3.626948-7 5.888437-1 2.915968-7 6.382635-1 2.361431-7 6.918310-1 1.925600-7 7.498942-1 1.581066-7 8.128305-1 1.307032-7 8.912509-1 1.059333-7 9.549926-1 9.104229-8 1.035142+0 7.689888-8 1.109175+0 6.678429-8 1.202264+0 5.706100-8 1.318257+0 4.802764-8 1.445440+0 4.071111-8 1.584893+0 3.475318-8 1.757924+0 2.930322-8 1.972423+0 2.442160-8 2.213095+0 2.048529-8 2.511886+0 1.701454-8 2.884032+0 1.400796-8 3.349654+0 1.143487-8 3.935501+0 9.263294-9 4.677351+0 7.450306-9 5.688529+0 5.868877-9 7.000000+0 4.593800-9 8.810489+0 3.529281-9 1.083927+1 2.798620-9 1.400000+1 2.113700-9 1.949845+1 1.481819-9 2.985383+1 9.47426-10 4.786301+1 5.82006-10 9.440609+1 2.91383-10 1.883649+2 1.45068-10 7.498942+2 3.62547-11 1.000000+5 2.71400-13 1 11000 7 0 2.298980+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 3.622000-5 3.622000-5 1.000000+5 3.622000-5 1 11000 7 9 2.298980+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.622000-5 0.0 1.000000+5 1.000000+5 1 11000 7 0 2.298980+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 5.150000-6 9.544867+4 5.164000-6 9.180590+4 5.195000-6 8.460820+4 5.248075-6 7.321184+4 5.300000-6 6.322070+4 5.330000-6 5.792260+4 5.370318-6 5.132763+4 5.420000-6 4.394090+4 5.450000-6 3.986380+4 5.495409-6 3.419176+4 5.535000-6 2.973750+4 5.570000-6 2.613380+4 5.600000-6 2.328550+4 5.635000-6 2.023300+4 5.660000-6 1.822350+4 5.688529-6 1.609595+4 5.720000-6 1.394070+4 5.743000-6 1.248710+4 5.770000-6 1.090660+4 5.792000-6 9.715660+3 5.815000-6 8.559410+3 5.835000-6 7.626750+3 5.855000-6 6.759070+3 5.870000-6 6.149060+3 5.892000-6 5.316390+3 5.910000-6 4.688200+3 5.927000-6 4.137350+3 5.942000-6 3.684280+3 5.956621-6 3.272176+3 5.970000-6 2.919770+3 5.985000-6 2.551730+3 5.996000-6 2.300020+3 6.010000-6 2.000950+3 6.023000-6 1.744490+3 6.035000-6 1.525330+3 6.043000-6 1.388510+3 6.052000-6 1.243250+3 6.062000-6 1.092480+3 6.070000-6 9.798040+2 6.077000-6 8.869170+2 6.085000-6 7.871960+2 6.092000-6 7.055010+2 6.100000-6 6.183850+2 6.108000-6 5.378880+2 6.115000-6 4.727960+2 6.121500-6 4.167590+2 6.127000-6 3.726080+2 6.133000-6 3.278550+2 6.139000-6 2.866070+2 6.144000-6 2.548810+2 6.150000-6 2.199640+2 6.155000-6 1.934520+2 6.160000-6 1.692990+2 6.165950-6 1.435740+2 6.173000-6 1.173010+2 6.183000-6 8.775710+1 6.188000-6 7.633350+1 6.191000-6 7.054570+1 6.194000-6 6.554640+1 6.197000-6 6.133450+1 6.199000-6 5.896140+1 6.201500-6 5.648210+1 6.203000-6 5.525370+1 6.205000-6 5.391660+1 6.207000-6 5.292250+1 6.209000-6 5.227010+1 6.211000-6 5.195810+1 6.213000-6 5.198540+1 6.215000-6 5.235080+1 6.217000-6 5.305200+1 6.219000-6 5.408990+1 6.221000-6 5.546270+1 6.223000-6 5.716830+1 6.225000-6 5.920590+1 6.227800-6 6.261420+1 6.230000-6 6.574470+1 6.233000-6 7.065340+1 6.237348-6 7.906915+1 6.242000-6 8.976550+1 6.255000-6 1.288150+2 6.260000-6 1.473800+2 6.265000-6 1.678840+2 6.272000-6 1.998200+2 6.277000-6 2.249150+2 6.282000-6 2.518920+2 6.288000-6 2.867240+2 6.295000-6 3.307180+2 6.302000-6 3.782820+2 6.307000-6 4.144160+2 6.312000-6 4.523360+2 6.320000-6 5.166820+2 6.327000-6 5.766270+2 6.335000-6 6.492590+2 6.342000-6 7.163660+2 6.350000-6 7.970690+2 6.357000-6 8.711790+2 6.365000-6 9.597220+2 6.376000-6 1.088160+3 6.385000-6 1.198880+3 6.395000-6 1.327840+3 6.405000-6 1.462780+3 6.415000-6 1.603650+3 6.425000-6 1.750450+3 6.440000-6 1.981160+3 6.455000-6 2.224360+3 6.470000-6 2.479850+3 6.485000-6 2.746960+3 6.500000-6 3.025500+3 6.515000-6 3.315350+3 6.535000-6 3.718270+3 6.557000-6 4.182880+3 6.580000-6 4.691190+3 6.600000-6 5.151440+3 6.627000-6 5.798010+3 6.650000-6 6.370790+3 6.670000-6 6.884410+3 6.700000-6 7.680600+3 6.730000-6 8.505840+3 6.760830-6 9.382547+3 6.790000-6 1.023650+4 6.820000-6 1.113790+4 6.850000-6 1.206190+4 6.890000-6 1.332470+4 6.930000-6 1.462030+4 6.980000-6 1.628100+4 7.020000-6 1.763900+4 7.070000-6 1.936730+4 7.130000-6 2.148050+4 7.170000-6 2.290920+4 7.230000-6 2.507640+4 7.290000-6 2.726620+4 7.350000-6 2.947200+4 7.420000-6 3.205750+4 7.500000-6 3.501810+4 7.585776-6 3.818693+4 7.673615-6 4.141468+4 7.770000-6 4.492220+4 7.880000-6 4.886770+4 8.000000-6 5.308320+4 8.128305-6 5.747174+4 8.270000-6 6.215900+4 8.420000-6 6.692430+4 8.550000-6 7.088280+4 8.709636-6 7.551573+4 8.850000-6 7.937830+4 9.050000-6 8.453980+4 9.225714-6 8.874660+4 9.440609-6 9.348474+4 9.700000-6 9.863200+4 9.930000-6 1.027000+5 1.023293-5 1.073921+5 1.059254-5 1.120598+5 1.096478-5 1.159635+5 1.135011-5 1.191298+5 1.180000-5 1.218600+5 1.230269-5 1.238813+5 1.273503-5 1.249018+5 1.333521-5 1.254223+5 1.400000-5 1.250290+5 1.462177-5 1.239673+5 1.548817-5 1.216698+5 1.640590-5 1.185437+5 1.737801-5 1.147644+5 1.862087-5 1.095699+5 2.000000-5 1.036980+5 2.162719-5 9.695412+4 2.350000-5 8.963480+4 2.580000-5 8.147390+4 2.884032-5 7.210806+4 3.235937-5 6.311064+4 3.715352-5 5.335896+4 4.466836-5 4.228538+4 5.956621-5 2.906500+4 1.135011-4 1.244688+4 1.333521-4 1.000649+4 1.520000-4 8.317440+3 1.678804-4 7.180510+3 1.862087-4 6.117095+3 2.041738-4 5.271855+3 2.264644-4 4.425785+3 2.540973-4 3.616114+3 2.884032-4 2.871930+3 3.311311-4 2.215357+3 3.890451-4 1.622554+3 4.677351-4 1.127977+3 5.688529-4 7.616116+2 6.456542-4 5.868542+2 7.161434-4 4.711820+2 8.035261-4 3.663558+2 9.120108-4 2.755671+2 1.096478-3 1.802373+2 1.258925-3 1.303678+2 1.445440-3 9.361848+1 1.640590-3 6.858848+1 1.905461-3 4.709990+1 2.238721-3 3.118309+1 2.630268-3 2.049039+1 3.090295-3 1.336247+1 3.630781-3 8.650075+0 4.265795-3 5.558835+0 5.011872-3 3.546753+0 5.956621-3 2.173915+0 7.079458-3 1.322228+0 8.413951-3 7.982812-1 1.011579-2 4.623837-1 1.230269-2 2.567595-1 1.500000-2 1.404096-1 1.840772-2 7.473876-2 2.290868-2 3.781218-2 2.884032-2 1.831627-2 3.715352-2 8.182902-3 5.011872-2 3.130840-3 6.531306-2 1.330161-3 1.174898-1 1.977622-4 1.584893-1 7.538120-5 1.905461-1 4.188289-5 2.264644-1 2.431605-5 2.600160-1 1.584781-5 2.951209-1 1.077816-5 3.311311-1 7.642034-6 3.672823-1 5.644052-6 4.073803-1 4.197366-6 4.518559-1 3.145650-6 4.954502-1 2.451236-6 5.432503-1 1.923690-6 5.956621-1 1.520994-6 6.456542-1 1.246759-6 6.998420-1 1.028366-6 7.585776-1 8.535844-7 8.222427-1 7.132576-7 9.015711-1 5.856643-7 9.885531-1 4.843956-7 1.135011+0 3.675752-7 1.258925+0 3.008912-7 1.380384+0 2.536576-7 1.513561+0 2.153277-7 1.659587+0 1.843838-7 1.862087+0 1.531490-7 2.113489+0 1.258251-7 2.371374+0 1.059723-7 2.691535+0 8.837252-8 3.126079+0 7.189209-8 3.630781+0 5.891659-8 4.315191+0 4.721448-8 5.188000+0 3.758854-8 6.309573+0 2.972993-8 7.852356+0 2.305335-8 1.023293+1 1.709115-8 1.288250+1 1.326518-8 1.678804+1 9.961446-9 2.264644+1 7.249859-9 3.507519+1 4.592632-9 6.095369+1 2.604572-9 1.216186+2 1.292079-9 2.426610+2 6.44367-10 9.660509+2 1.61259-10 1.000000+5 1.55520-12 1 11000 7 0 2.298980+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 5.150000-6 5.150000-6 1.000000+5 5.150000-6 1 11000 7 9 2.298980+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.150000-6 0.0 1.000000+5 1.000000+5 1 11000 7 0 2.298980+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 4.583840-9 1.028750+0 4.583840-8 1.036640+0 4.583840-7 1.041500+0 1.069300-6 1.043800+0 1.484230-6 1.046400+0 2.065030-6 1.048300+0 2.571020-6 1.051200+0 3.487520-6 1.054080+0 4.583840-6 1.057700+0 6.248030-6 1.061100+0 8.127070-6 1.065100+0 1.075920-5 1.070400+0 1.501010-5 1.076200+0 2.074370-5 1.080600+0 2.590550-5 1.087100+0 3.490360-5 1.093710+0 4.583840-5 1.102600+0 6.355900-5 1.110700+0 8.290110-5 1.120600+0 1.109110-4 1.133300+0 1.542310-4 1.147500+0 2.129780-4 1.158200+0 2.646880-4 1.174100+0 3.537010-4 1.190110+0 4.583840-4 1.205100+0 5.702300-4 1.227500+0 7.627870-4 1.250000+0 9.869000-4 1.281300+0 1.349760-3 1.308600+0 1.714350-3 1.332500+0 2.069580-3 1.374400+0 2.771040-3 1.405800+0 3.359900-3 1.452900+0 4.338860-3 1.500000+0 5.425000-3 1.562500+0 7.015670-3 1.617200+0 8.532990-3 1.712900+0 1.143430-2 1.784700+0 1.378700-2 1.892300+0 1.754440-2 2.000000+0 2.153000-2 2.044000+0 2.321000-2 2.163500+0 2.786610-2 2.372600+0 3.621080-2 2.529500+0 4.253620-2 2.764700+0 5.200040-2 3.000000+0 6.139000-2 3.437500+0 7.847550-2 4.000000+0 9.942000-2 4.750000+0 1.251860-1 5.000000+0 1.333000-1 6.000000+0 1.636000-1 7.000000+0 1.906000-1 8.000000+0 2.150000-1 9.000000+0 2.370000-1 1.000000+1 2.571000-1 1.100000+1 2.753000-1 1.200000+1 2.920000-1 1.300000+1 3.075000-1 1.400000+1 3.219000-1 1.500000+1 3.354000-1 1.600000+1 3.480000-1 1.800000+1 3.712000-1 2.000000+1 3.920000-1 2.200000+1 4.108000-1 2.400000+1 4.279000-1 2.600000+1 4.435000-1 2.800000+1 4.580000-1 3.000000+1 4.714000-1 4.000000+1 5.264000-1 5.000000+1 5.679000-1 6.000000+1 6.008000-1 8.000000+1 6.502000-1 1.000000+2 6.858000-1 1.500000+2 7.434000-1 2.000000+2 7.784000-1 3.000000+2 8.195000-1 4.000000+2 8.434000-1 5.000000+2 8.592000-1 6.000000+2 8.705000-1 8.000000+2 8.857000-1 1.000000+3 8.956000-1 1.500000+3 9.099000-1 2.000000+3 9.178000-1 3.000000+3 9.263000-1 4.000000+3 9.309000-1 5.000000+3 9.338000-1 6.000000+3 9.358000-1 8.000000+3 9.384000-1 1.000000+4 9.400000-1 1.500000+4 9.424000-1 2.000000+4 9.436000-1 3.000000+4 9.449000-1 4.000000+4 9.456000-1 5.000000+4 9.460000-1 6.000000+4 9.463000-1 8.000000+4 9.467000-1 1.000000+5 9.469000-1 1 11000 7 8 2.298980+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 11000 7 9 2.298980+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 11000 7 0 2.298980+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 1.104530-7 2.136250+0 1.104530-6 2.147000+0 1.514390-6 2.156900+0 1.967010-6 2.169000+0 2.625100-6 2.184500+0 3.648970-6 2.201800+0 5.048460-6 2.214800+0 6.289980-6 2.234200+0 8.461140-6 2.253680+0 1.104530-5 2.281500+0 1.547090-5 2.307000+0 2.032100-5 2.338200+0 2.732340-5 2.377400+0 3.783960-5 2.410200+0 4.812570-5 2.446800+0 6.121860-5 2.485900+0 7.707750-5 2.532900+0 9.864250-5 2.556430+0 1.104530-4 2.611900+0 1.408390-4 2.660400+0 1.702660-4 2.745300+0 2.278880-4 2.809000+0 2.759840-4 2.904500+0 3.555290-4 3.000000+0 4.438000-4 3.125000+0 5.722910-4 3.234400+0 6.963920-4 3.425800+0 9.379100-4 3.569300+0 1.137440-3 3.784700+0 1.462460-3 4.000000+0 1.812000-3 4.250000+0 2.239510-3 4.625000+0 2.911730-3 5.000000+0 3.611000-3 5.500000+0 4.571560-3 6.000000+0 5.546000-3 6.750000+0 6.998360-3 7.000000+0 7.477000-3 8.000000+0 9.353000-3 9.000000+0 1.115000-2 1.000000+1 1.286000-2 1.100000+1 1.449000-2 1.200000+1 1.603000-2 1.300000+1 1.748000-2 1.400000+1 1.886000-2 1.500000+1 2.018000-2 1.600000+1 2.143000-2 1.800000+1 2.376000-2 2.000000+1 2.589000-2 2.200000+1 2.785000-2 2.400000+1 2.966000-2 2.600000+1 3.135000-2 2.800000+1 3.291000-2 3.000000+1 3.438000-2 4.000000+1 4.053000-2 5.000000+1 4.530000-2 6.000000+1 4.915000-2 8.000000+1 5.509000-2 1.000000+2 5.952000-2 1.500000+2 6.703000-2 2.000000+2 7.186000-2 3.000000+2 7.790000-2 4.000000+2 8.160000-2 5.000000+2 8.416000-2 6.000000+2 8.605000-2 8.000000+2 8.870000-2 1.000000+3 9.048000-2 1.500000+3 9.317000-2 2.000000+3 9.472000-2 3.000000+3 9.643000-2 4.000000+3 9.744000-2 5.000000+3 9.807000-2 6.000000+3 9.851000-2 8.000000+3 9.910000-2 1.000000+4 9.947000-2 1.500000+4 9.999000-2 2.000000+4 1.003000-1 3.000000+4 1.006000-1 4.000000+4 1.008000-1 5.000000+4 1.009000-1 6.000000+4 1.009000-1 8.000000+4 1.010000-1 1.000000+5 1.011000-1 1 11000 7 8 2.298980+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 11000 7 9 2.298980+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 11000 7 0 2.298980+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 1.100000+1 1.000000+5 1.100000+1 5.000000+5 1.098900+1 7.500000+5 1.098080+1 9.375000+5 1.097630+1 1.000000+6 1.097500+1 1.250000+6 1.096750+1 1.500000+6 1.095600+1 1.875000+6 1.093080+1 2.000000+6 1.092200+1 2.375000+6 1.089070+1 2.500000+6 1.088000+1 2.875000+6 1.084200+1 3.000000+6 1.082900+1 3.250000+6 1.080070+1 3.625000+6 1.075580+1 4.000000+6 1.070900+1 4.437500+6 1.065130+1 4.812500+6 1.059930+1 5.000000+6 1.057300+1 5.468700+6 1.050010+1 5.851600+6 1.043810+1 6.000000+6 1.041420+1 6.261700+6 1.037040+1 6.753900+6 1.028870+1 7.000000+6 1.024800+1 7.500000+6 1.016540+1 8.250000+6 1.004140+1 8.500000+6 1.000070+1 9.000000+6 9.918800+0 1.000000+7 9.756000+0 1.250000+7 9.379600+0 1.437500+7 9.108140+0 1.500000+7 9.020900+0 1.687500+7 8.764360+0 1.750000+7 8.680400+0 1.937500+7 8.424180+0 2.000000+7 8.337600+0 2.218800+7 8.025970+0 2.406300+7 7.752680+0 2.500000+7 7.615900+0 2.750000+7 7.246600+0 2.875000+7 7.061560+0 3.000000+7 6.877400+0 3.250000+7 6.509440+0 3.437500+7 6.238480+0 3.625000+7 5.972830+0 3.718800+7 5.842800+0 4.000000+7 5.464700+0 4.250000+7 5.144230+0 4.437500+7 4.915170+0 4.625000+7 4.696470+0 4.812500+7 4.487770+0 5.000000+7 4.289000+0 5.437500+7 3.863600+0 5.500000+7 3.807130+0 6.000000+7 3.394200+0 6.500000+7 3.043090+0 7.000000+7 2.748800+0 7.750000+7 2.396510+0 8.000000+7 2.299400+0 8.500000+7 2.131220+0 9.000000+7 1.992400+0 9.500000+7 1.877650+0 1.000000+8 1.781900+0 1.062500+8 1.683090+0 1.144500+8 1.579160+0 1.187500+8 1.533800+0 1.250000+8 1.476100+0 1.375000+8 1.382620+0 1.500000+8 1.305200+0 1.625000+8 1.234910+0 1.753900+8 1.164740+0 1.841800+8 1.117000+0 1.947300+8 1.059150+0 2.000000+8 1.030000+0 2.125000+8 9.604930-1 2.375000+8 8.388010-1 2.500000+8 7.880000-1 2.671900+8 7.293880-1 2.789100+8 6.901390-1 2.881300+8 6.574290-1 2.960400+8 6.274170-1 3.000000+8 6.117000-1 3.062500+8 5.859540-1 3.171900+8 5.410830-1 3.335900+8 4.810880-1 3.418000+8 4.562150-1 3.500000+8 4.354000-1 3.562500+8 4.222760-1 3.671900+8 4.030160-1 3.835900+8 3.775400-1 3.918000+8 3.644670-1 4.000000+8 3.504000-1 4.091800+8 3.331420-1 4.176000+8 3.165140-1 4.279000+8 2.958620-1 4.411200+8 2.699850-1 5.000000+8 1.803000-1 5.125000+8 1.674770-1 5.343800+8 1.486850-1 5.671900+8 1.256840-1 5.835900+8 1.155640-1 6.000000+8 1.060000-1 6.562500+8 7.847900-2 6.718800+8 7.290850-2 6.859400+8 6.872570-2 7.000000+8 6.530000-2 7.125000+8 6.284500-2 7.343800+8 5.941350-2 7.671900+8 5.490750-2 7.835900+8 5.253490-2 7.959000+8 5.058790-2 8.000000+8 4.990000-2 8.125000+8 4.768200-2 8.242200+8 4.549240-2 8.403500+8 4.239580-2 8.551600+8 3.954960-2 8.732700+8 3.616130-2 8.817100+8 3.463870-2 1.000000+9 1.900000-2 1.015600+9 1.771430-2 1.045900+9 1.559850-2 1.074300+9 1.397400-2 1.113400+9 1.216110-2 1.149200+9 1.082230-2 1.193100+9 9.500950-3 1.231400+9 8.554720-3 1.298600+9 7.171110-3 1.424500+9 5.274190-3 1.500000+9 4.443100-3 1.562500+9 3.844440-3 1.617200+9 3.388540-3 1.712900+9 2.724980-3 1.784700+9 2.322600-3 2.000000+9 1.478600-3 2.187500+9 1.036510-3 2.539100+9 5.769250-4 3.154300+9 2.479890-4 5.000000+9 4.163500-5 8.000000+9 6.681300-6 1.00000+10 2.819200-6 1.20500+10 1.379270-6 1.41820+10 7.422020-7 1.71110+10 3.654350-7 2.01380+10 1.985940-7 2.41190+10 1.016240-7 2.88610+10 5.246980-8 3.54590+10 2.475230-8 4.35270+10 1.180090-8 5.36740+10 5.576870-9 6.21670+10 3.313210-9 7.56790+10 1.659710-9 9.39200+10 7.83204-10 1.00000+11 6.30680-10 1.17140+11 3.66426-10 1.47470+11 1.67528-10 1.82930+11 8.11891-11 2.31360+11 3.71828-11 3.10280+11 1.41809-11 4.35820+11 4.71945-12 5.93370+11 1.76115-12 9.79510+11 3.64254-13 1.51300+12 9.49733-14 2.91350+12 1.29587-14 7.05210+12 9.28909-16 1.00000+14 3.99780-19 5.62340+14 2.45368-21 5.42470+15 2.78506-24 1.00000+17 4.17740-28 1 11000 7 0 2.298980+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 3.60000-12 1.000000+2 3.60000-10 1.000000+3 3.600000-8 1.000000+4 3.600000-6 1.000000+5 3.600000-4 5.000000+5 9.000000-3 7.500000+5 2.025000-2 9.375000+5 3.164063-2 1.000000+6 3.600000-2 1.250000+6 5.568530-2 1.500000+6 7.930000-2 1.875000+6 1.218570-1 2.000000+6 1.378000-1 2.375000+6 1.902500-1 2.500000+6 2.092000-1 2.875000+6 2.698350-1 3.000000+6 2.912000-1 3.250000+6 3.353180-1 3.625000+6 4.045090-1 4.000000+6 4.764000-1 4.437500+6 5.623680-1 4.812500+6 6.367940-1 5.000000+6 6.740000-1 5.468700+6 7.659450-1 5.851600+6 8.396570-1 6.000000+6 8.677790-1 6.261700+6 9.166760-1 6.753900+6 1.005820+0 7.000000+6 1.049000+0 7.500000+6 1.133390+0 8.250000+6 1.252690+0 8.500000+6 1.290640+0 9.000000+6 1.364200+0 1.000000+7 1.503000+0 1.250000+7 1.828200+0 1.437500+7 2.075130+0 1.500000+7 2.160000+0 1.687500+7 2.424960+0 1.750000+7 2.515900+0 1.937500+7 2.796020+0 2.000000+7 2.891000+0 2.218800+7 3.229260+0 2.406300+7 3.520890+0 2.500000+7 3.667200+0 2.750000+7 4.053020+0 2.875000+7 4.243310+0 3.000000+7 4.431000+0 3.250000+7 4.796630+0 3.437500+7 5.061700+0 3.625000+7 5.318540+0 3.718800+7 5.443300+0 4.000000+7 5.804000+0 4.250000+7 6.105510+0 4.437500+7 6.319900+0 4.625000+7 6.524520+0 4.812500+7 6.718450+0 5.000000+7 6.903000+0 5.437500+7 7.293970+0 5.500000+7 7.345430+0 6.000000+7 7.724000+0 6.500000+7 8.043790+0 7.000000+7 8.313000+0 7.750000+7 8.637890+0 8.000000+7 8.729000+0 8.500000+7 8.889710+0 9.000000+7 9.028000+0 9.500000+7 9.146620+0 1.000000+8 9.252000+0 1.062500+8 9.366620+0 1.144500+8 9.498680+0 1.187500+8 9.560930+0 1.250000+8 9.646500+0 1.375000+8 9.800630+0 1.500000+8 9.939000+0 1.625000+8 1.006440+1 1.753900+8 1.018260+1 1.841800+8 1.025590+1 1.947300+8 1.033790+1 2.000000+8 1.037600+1 2.125000+8 1.045900+1 2.375000+8 1.059710+1 2.500000+8 1.065400+1 2.671900+8 1.071870+1 2.789100+8 1.075710+1 2.881300+8 1.078280+1 2.960400+8 1.080340+1 3.000000+8 1.081300+1 3.062500+8 1.082660+1 3.171900+8 1.084860+1 3.335900+8 1.087690+1 3.418000+8 1.088860+1 3.500000+8 1.090000+1 3.562500+8 1.090680+1 3.671900+8 1.091850+1 3.835900+8 1.093350+1 3.918000+8 1.093980+1 4.000000+8 1.094600+1 4.091800+8 1.095130+1 4.176000+8 1.095600+1 4.279000+8 1.096120+1 4.411200+8 1.096630+1 5.000000+8 1.098300+1 5.125000+8 1.098460+1 5.343800+8 1.098740+1 5.671900+8 1.099130+1 5.835900+8 1.099290+1 6.000000+8 1.099400+1 6.562500+8 1.099630+1 6.718800+8 1.099690+1 6.859400+8 1.099750+1 7.000000+8 1.099800+1 7.125000+8 1.099810+1 7.343800+8 1.099840+1 7.671900+8 1.099870+1 7.835900+8 1.099880+1 7.959000+8 1.099900+1 8.000000+8 1.099900+1 8.125000+8 1.099910+1 8.242200+8 1.099910+1 8.403500+8 1.099920+1 8.551600+8 1.099930+1 8.732700+8 1.099940+1 8.817100+8 1.099940+1 1.000000+9 1.100000+1 1.015600+9 1.100000+1 1.045900+9 1.100000+1 1.074300+9 1.100000+1 1.113400+9 1.100000+1 1.149200+9 1.100000+1 1.193100+9 1.100000+1 1.231400+9 1.100000+1 1.298600+9 1.100000+1 1.424500+9 1.100000+1 1.500000+9 1.100000+1 1.562500+9 1.100000+1 1.617200+9 1.100000+1 1.712900+9 1.100000+1 1.784700+9 1.100000+1 2.000000+9 1.100000+1 2.187500+9 1.100000+1 2.539100+9 1.100000+1 3.154300+9 1.100000+1 5.000000+9 1.100000+1 8.000000+9 1.100000+1 1.00000+10 1.100000+1 1.20500+10 1.100000+1 1.41820+10 1.100000+1 1.71110+10 1.100000+1 2.01380+10 1.100000+1 2.41190+10 1.100000+1 2.88610+10 1.100000+1 3.54590+10 1.100000+1 4.35270+10 1.100000+1 5.36740+10 1.100000+1 6.21670+10 1.100000+1 7.56790+10 1.100000+1 9.39200+10 1.100000+1 1.00000+11 1.100000+1 1.17140+11 1.100000+1 1.47470+11 1.100000+1 1.82930+11 1.100000+1 2.31360+11 1.100000+1 3.10280+11 1.100000+1 4.35820+11 1.100000+1 5.93370+11 1.100000+1 9.79510+11 1.100000+1 1.51300+12 1.100000+1 2.91350+12 1.100000+1 7.05210+12 1.100000+1 1.00000+14 1.100000+1 5.62340+14 1.100000+1 5.42470+15 1.100000+1 1.00000+17 1.100000+1 1 11000 7 0 2.298980+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.048333-6 0.0 2.050714-6 4.367178-1 2.058416-6 4.638160+0 2.060809-6 6.217111+0 2.063458-6 8.602326+0 2.065857-6 1.113596+1 2.068500-6 1.474448+1 2.070905-6 1.843281+1 2.076747-6 3.003977+1 2.088667-6 5.788991+1 2.095077-6 6.866330+1 2.099773-6 7.151130+1 2.101701-6 7.174765+1 2.106701-6 6.784390+1 2.111873-6 5.894196+1 2.125811-6 2.678298+1 2.129000-6 2.056620+1 2.131475-6 1.628193+1 2.134042-6 1.270029+1 2.136523-6 9.623304+0 2.139084-6 7.252293+0 2.141571-6 5.253192+0 2.149167-6 9.591552-1 2.151666-6 0.0 3.110831-6 0.0 3.118488-6 2.06785-16 3.126145-6 4.09171-16 3.133802-6 7.47385-16 3.141459-6 1.26019-15 3.149115-6 1.96148-15 3.156772-6 2.81828-15 3.164429-6 3.73800-15 3.172086-6 4.57665-15 3.179743-6 5.17261-15 3.187400-6 5.39668-15 3.195057-6 5.19753-15 3.202714-6 4.62084-15 3.210371-6 3.79227-15 3.225685-6 2.00917-15 3.233341-6 1.29705-15 3.240998-6 7.72950-16 3.248655-6 4.25206-16 3.256312-6 2.15924-16 3.263969-6 0.0 3.545814-6 0.0 3.545824-6 2.544087-9 3.554552-6 5.703902-6 3.563279-6 1.128569-5 3.572007-6 2.061296-5 3.580734-6 3.475427-5 3.589462-6 5.409185-5 3.598190-6 7.771610-5 3.606917-6 1.030732-4 3.615645-6 1.261931-4 3.624372-6 1.426201-4 3.633100-6 1.487926-4 3.641828-6 1.432969-4 3.650555-6 1.273935-4 3.663683-6 9.178318-5 3.664464-6 1.167828-3 3.682503-6 7.685549-2 3.691523-6 1.397876-1 3.700542-6 2.348228-1 3.709562-6 3.642596-1 3.735825-6 8.302152-1 3.746768-6 9.546800-1 3.755787-6 9.838614-1 3.764807-6 9.367592-1 3.772699-6 8.429986-1 3.796526-6 4.221553-1 3.798948-6 3.780361-1 3.808778-6 2.350343-1 3.817797-6 1.398672-1 3.826817-6 7.684167-2 3.839937-6 2.043882-2 3.844037-6 2.418064-3 3.844856-6 0.0 4.192692-6 0.0 4.192702-6 5.65631-10 4.213342-6 2.966807-6 4.223661-6 5.418831-6 4.233981-6 9.136449-6 4.245171-6 1.474230-5 4.245522-6 7.534756-5 4.266421-6 1.103892-2 4.276871-6 2.011581-2 4.287645-6 3.442992-2 4.297970-6 5.303472-2 4.328762-6 1.215577-1 4.339570-6 1.380283-1 4.350020-6 1.438710-1 4.360470-6 1.384418-1 4.370920-6 1.229832-1 4.402269-6 5.336447-2 4.412719-6 3.443036-2 4.423169-6 2.050703-2 4.433619-6 1.127546-2 4.444068-6 5.692202-3 4.454149-6 1.371289-4 4.454518-6 0.0 4.519908-6 0.0 4.520094-6 8.888170-6 4.542345-6 3.273014-3 4.553471-6 5.973948-3 4.564596-6 1.006590-2 4.575722-6 1.565739-2 4.586847-6 2.248331-2 4.597973-6 2.980396-2 4.609099-6 3.647194-2 4.620224-6 4.120158-2 4.631350-6 4.296727-2 4.642476-6 4.136466-2 4.653601-6 3.676105-2 4.675853-6 2.311142-2 4.686978-6 1.690722-2 4.698104-6 1.205204-2 4.705894-6 9.905067-3 4.709229-6 9.159245-3 4.717392-6 8.356389-3 4.720355-6 8.230783-3 4.731287-6 8.947092-3 4.742606-6 1.008739-2 4.751886-6 1.258500-2 4.763571-6 1.543731-2 4.775296-6 1.779198-2 4.787021-6 1.882881-2 4.798746-6 1.863355-2 4.810470-6 1.746255-2 4.835730-6 1.416001-2 4.847604-6 1.312454-2 4.859477-6 1.261974-2 4.895097-6 1.243177-2 4.901361-6 1.215700-2 4.919416-6 1.203788-2 5.043764-6 8.975005-3 5.090792-6 7.189994-3 5.117038-6 6.196505-3 5.141240-6 5.627390-3 5.166874-6 5.494192-3 5.213833-6 5.629434-3 5.254461-6 5.363983-3 5.382696-6 3.829669-3 5.493047-6 2.732065-3 5.584980-6 1.993261-3 5.674247-6 1.410732-3 5.747111-6 1.024000-3 5.808864-6 7.530024-4 5.862495-6 5.567820-4 5.918494-6 3.880821-4 5.963307-6 2.780075-4 6.006371-6 1.918568-4 6.033998-6 1.462321-4 6.061498-6 1.079959-4 6.084749-6 8.107396-5 6.108686-6 5.836891-5 6.127124-6 4.425155-5 6.143499-6 3.411224-5 6.157500-6 2.719569-5 6.170355-6 2.224083-5 6.181593-6 1.898674-5 6.192500-6 1.677484-5 6.203000-6 1.551391-5 6.215000-6 1.510102-5 6.226400-6 1.570976-5 6.237348-6 1.719886-5 6.248865-6 1.970786-5 6.262500-6 2.390800-5 6.277000-6 2.981253-5 6.293249-6 3.815687-5 6.312749-6 5.052789-5 6.335624-6 6.823451-5 6.362999-6 9.382092-5 6.392499-6 1.265699-4 6.432496-6 1.791908-4 6.481247-6 2.554628-4 6.540744-6 3.654376-4 6.607617-6 5.095318-4 6.703735-6 7.509023-4 6.821230-6 1.094029-3 7.012466-6 1.745168-3 7.200000-6 2.470467-3 7.673615-6 4.542223-3 9.283518-6 1.194564-2 1.023293-5 1.570262-2 1.139063-5 1.943332-2 1.281445-5 2.288997-2 1.462177-5 2.591165-2 1.737801-5 2.851576-2 2.289532-5 3.008288-2 3.032645-5 2.951717-2 3.047574-5 1.884260-1 3.052272-5 2.710253-1 3.055039-5 3.343357-1 3.062970-5 5.924902-1 3.070434-5 9.181135-1 3.079650-5 1.439881+0 3.094577-5 2.355608+0 3.100227-5 2.649710+0 3.108133-5 2.900420+0 3.115440-5 2.948084+0 3.123560-5 2.773023+0 3.130616-5 2.471746+0 3.152077-5 1.208949+0 3.159541-5 8.334972-1 3.167006-5 5.420266-1 3.172477-5 3.831597-1 3.179989-5 1.991148-1 3.181935-5 1.600143-1 3.187502-5 1.106521-1 3.202528-5 2.924593-2 3.343728-5 2.907398-2 3.360189-5 9.155271-2 3.363355-5 1.113996-1 3.368419-5 1.527424-1 3.376649-5 2.463893-1 3.384879-5 3.748529-1 3.389133-5 4.602830-1 3.413290-5 1.043688+0 3.417800-5 1.155530+0 3.427127-5 1.318524+0 3.438379-5 1.414338+0 3.447620-5 1.408780+0 3.466245-5 1.254150+0 3.479367-5 1.109741+0 3.491887-5 1.018076+0 3.508585-5 9.876385-1 3.549986-5 1.185686+0 3.591474-5 1.274052+0 3.745284-5 1.637872+0 4.330000-5 3.217382+0 5.031596-5 5.103438+0 5.580000-5 6.316053+0 6.019489-5 7.066800+0 6.102495-5 7.597834+0 6.147885-5 7.828002+0 6.251087-5 7.522656+0 6.457692-5 7.867111+0 7.220408-5 8.401040+0 8.300000-5 8.397056+0 1.128496-4 7.017498+0 1.496236-4 5.444192+0 1.864360-4 4.285358+0 2.248388-4 3.399990+0 2.629247-4 2.765520+0 3.093633-4 2.212151+0 3.520002-4 1.841200+0 4.034330-4 1.508092+0 4.629763-4 1.225884+0 5.234874-4 1.014976+0 5.973791-4 8.252525-1 6.717188-4 6.844910-1 7.642845-4 5.554737-1 8.720610-4 4.472321-1 1.001915-3 3.549467-1 1.035473-3 3.375737-1 1.039215-3 3.653348-1 1.041875-3 4.015808-1 1.043380-3 4.319611-1 1.045668-3 5.024355-1 1.048309-3 6.307623-1 1.050816-3 8.098257-1 1.053425-3 1.055698+0 1.056322-3 1.409460+0 1.063050-3 2.383840+0 1.067775-3 3.024024+0 1.071800-3 3.452855+0 1.077481-3 3.839863+0 1.086625-3 4.117286+0 1.100022-3 4.209945+0 1.206890-3 3.627830+0 1.402927-3 2.895279+0 1.628934-3 2.305291+0 1.878657-3 1.837419+0 2.127867-3 1.497850+0 2.405288-3 1.217592+0 2.675030-3 1.014175+0 2.950048-3 8.532251-1 3.266603-3 7.114860-1 3.614700-3 5.920462-1 4.028676-3 4.847884-1 4.456227-3 4.016752-1 4.887608-3 3.370797-1 5.408443-3 2.779879-1 5.935763-3 2.321305-1 6.588751-3 1.893668-1 7.331139-3 1.533224-1 8.135824-3 1.245883-1 9.101152-3 9.936830-2 1.019343-2 7.886987-2 1.141043-2 6.258416-2 1.254214-2 5.141871-2 1.391688-2 4.139008-2 1.519316-2 3.440458-2 1.655108-2 2.871330-2 1.821759-2 2.342352-2 2.028496-2 1.859746-2 2.253125-2 1.484170-2 2.471156-2 1.213941-2 2.749154-2 9.624945-3 3.061900-2 7.603845-3 3.403022-2 6.027819-3 3.760873-2 4.827362-3 4.094286-2 3.996358-3 4.538648-2 3.177464-3 4.994913-2 2.564513-3 5.456606-2 2.102744-3 5.966777-2 1.720791-3 6.563455-2 1.389286-3 7.277362-2 1.100024-3 8.060784-2 8.733122-4 8.735958-2 7.283293-4 9.471226-2 6.068276-4 1.028794-1 5.034656-4 1.140130-1 3.994644-4 1.266824-1 3.156056-4 1.383800-1 2.590873-4 1.510467-1 2.130958-4 1.634749-1 1.787905-4 1.818881-1 1.413874-4 1.988445-1 1.165205-4 2.216523-1 9.220989-5 2.412072-1 7.713396-5 2.642599-1 6.373813-5 2.921183-1 5.189078-5 3.241690-1 4.216568-5 3.531251-1 3.572080-5 3.901665-1 2.959754-5 4.315477-1 2.464242-5 4.677351-1 2.139318-5 5.158222-1 1.814828-5 5.655877-1 1.565805-5 6.339153-1 1.318341-5 7.161434-1 1.109968-5 8.222427-1 9.317470-6 9.225714-1 8.152970-6 1.070165+0 6.998375-6 1.286622+0 5.835993-6 1.546860+0 4.866675-6 1.859734+0 4.058355-6 2.235892+0 3.384290-6 2.688134+0 2.822183-6 3.231848+0 2.353438-6 3.885536+0 1.962548-6 4.671441+0 1.636583-6 5.616308+0 1.364758-6 6.752287+0 1.138081-6 8.118035+0 9.490537-7 9.760024+0 7.914225-7 1.000000+1 1.536904-6 1 11000 7 0 2.298980+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-1.071434+1 1.473139-6-1.005605+1 1.691068-6-9.200938+0 1.805015-6-8.237361+0 1.872123-6-7.209840+0 1.912215-6-6.237211+0 1.943185-6-5.134343+0 1.961694-6-4.229260+0 1.976944-6-3.267277+0 1.989511-6-2.260448+0 1.996634-6-1.571356+0 2.002894-6-8.734009-1 2.005734-6-5.226219-1 2.008396-6-1.714658-1 2.010892-6 1.794496-1 2.015572-6 9.021084-1 2.019668-6 1.615851+0 2.023251-6 2.315713+0 2.026386-6 2.997162+0 2.031530-6 4.289414+0 2.037076-6 6.009689+0 2.040946-6 7.500685+0 2.045216-6 9.588819+0 2.047554-6 1.107824+1 2.050714-6 1.384178+1 2.052098-6 1.510571+1 2.059613-6 2.076309+1 2.068500-6 2.841149+1 2.072640-6 3.112936+1 2.077492-6 3.215790+1 2.081180-6 3.061129+1 2.084368-6 2.771051+1 2.086853-6 2.433976+1 2.088667-6 2.090828+1 2.092290-6 1.293628+1 2.093531-6 9.714331+0 2.095610-6 3.585179+0 2.096009-6 2.293325+0 2.096221-6 1.489938+0 2.096377-6 9.554350-1 2.096677-6-8.722945-3 2.096959-6-8.725142-1 2.097488-6-2.439874+0 2.100236-6-1.051475+1 2.100391-6-1.100227+1 2.101174-6-8.264546+0 2.101555-6-6.800865+0 2.106238-6 7.232577+0 2.106701-6 8.772937+0 2.107775-6 1.173289+1 2.111873-6 2.161017+1 2.114000-6 2.553543+1 2.117287-6 2.983361+1 2.121496-6 3.301662+1 2.125193-6 3.354501+1 2.130857-6 3.113161+1 2.141571-6 2.215639+1 2.149167-6 1.632346+1 2.153538-6 1.244320+1 2.156341-6 1.072941+1 2.160066-6 8.948879+0 2.165626-6 6.890676+0 2.169314-6 5.785131+0 2.172992-6 4.830993+0 2.176656-6 3.996852+0 2.180305-6 3.259596+0 2.183940-6 2.602128+0 2.187560-6 2.011405+0 2.191167-6 1.477240+0 2.194759-6 9.915171-1 2.198338-6 5.476701-1 2.201902-6 1.403145-1 2.205453-6-2.350168-1 2.208989-6-5.820674-1 2.212512-6-9.040023-1 2.219530-6-1.483992+0 2.226493-6-1.991046+0 2.240257-6-2.835964+0 2.260502-6-3.802565+0 2.286765-6-4.732791+0 2.318555-6-5.551530+0 2.366923-6-6.415927+0 2.455313-6-7.379864+0 2.602875-6-8.228145+0 2.880823-6-8.952718+0 3.657119-6-9.858913+0 3.722294-6-1.015455+1 3.755787-6-9.570832+0 3.789257-6-9.031200+0 3.916853-6-9.495206+0 4.350020-6-9.710857+0 1.096478-5-1.013837+1 2.363757-5-1.089279+1 2.882673-5-1.171890+1 3.016978-5-1.242325+1 3.032645-5-1.248096+1 3.077899-5-1.170446+1 3.095889-5-1.223302+1 3.103128-5-1.270617+1 3.132249-5-1.063467+1 3.149666-5-1.021595+1 3.181935-5-1.084302+1 3.230419-5-1.164957+1 3.363355-5-1.290364+1 3.409007-5-1.336226+1 3.471936-5-1.252593+1 3.582893-5-1.287544+1 4.330000-5-1.335092+1 5.155000-5-1.280638+1 5.999360-5-1.169003+1 6.110005-5-1.159351+1 6.203776-5-1.086685+1 6.350000-5-1.077779+1 7.839754-5-7.669407+0 8.706023-5-6.287685+0 9.545181-5-5.253078+0 1.061393-4-4.278787+0 1.174976-4-3.525870+0 1.315642-4-2.858526+0 1.455910-4-2.381343+0 1.642838-4-1.917068+0 1.826259-4-1.610661+0 2.041738-4-1.374551+0 2.248388-4-1.235685+0 2.551580-4-1.125624+0 2.959716-4-1.073336+0 3.520002-4-1.083973+0 4.629763-4-1.212679+0 6.413844-4-1.524835+0 7.642845-4-1.822897+0 8.493027-4-2.119038+0 9.098485-4-2.425312+0 9.551472-4-2.762981+0 9.874378-4-3.120850+0 1.010457-3-3.501499+0 1.029506-3-3.997173+0 1.041875-3-4.558990+0 1.052005-3-5.378737+0 1.060690-3-6.112283+0 1.066750-3-6.218109+0 1.073381-3-5.845650+0 1.086625-3-4.657347+0 1.097750-3-3.925972+0 1.111611-3-3.302519+0 1.127982-3-2.810922+0 1.146525-3-2.416773+0 1.176072-3-1.984328+0 1.206890-3-1.644404+0 1.241441-3-1.341165+0 1.279812-3-1.075832+0 1.322046-3-8.456431-1 1.371987-3-6.330279-1 1.413685-3-4.902434-1 1.458254-3-3.609825-1 1.500000-3-2.576975-1 1.538947-3-1.756013-1 1.572321-3-1.149749-1 1.610339-3-5.368149-2 1.652094-3 5.530906-3 1.691012-3 5.362679-2 1.748541-3 1.177881-1 1.798499-3 1.637185-1 1.878657-3 2.203735-1 1.934994-3 2.530627-1 2.071333-3 3.112405-1 2.232287-3 3.531554-1 2.405288-3 3.784442-1 2.773994-3 3.898079-1 3.382404-3 3.610929-1 4.887608-3 2.607767-1 5.935763-3 2.075836-1 7.019934-3 1.666026-1 8.135824-3 1.353350-1 9.361233-3 1.096331-1 1.073177-2 8.830181-2 1.221828-2 7.119455-2 1.391688-2 5.668138-2 1.564741-2 4.570967-2 1.761454-2 3.628821-2 1.973481-2 2.869679-2 2.182336-2 2.295003-2 2.385362-2 1.853628-2 2.608240-2 1.467879-2 2.807191-2 1.189439-2 3.061900-2 9.013147-3 3.336598-2 6.538917-3 3.605420-2 4.593646-3 3.837712-2 3.195679-3 4.094286-2 1.894788-3 4.252864-2 1.194515-3 4.356520-2 7.754273-4 4.463377-2 3.710197-4 4.538648-2 9.943631-5 4.605367-2-1.283318-4 4.630652-2-2.143735-4 4.724708-2-5.178572-4 4.907936-2-1.065394-3 5.112255-2-1.613645-3 5.456606-2-2.413478-3 5.836887-2-3.149463-3 6.387672-2-4.008054-3 7.277362-2-5.030533-3 8.526954-2-5.992861-3 1.057863-1-6.944233-3 1.345458-1-7.664319-3 1.893500-1-8.241438-3 3.333463-1-8.640169-3 1.011579+0-8.809536-3 3.086391+0-8.827945-3 9.320751+0-8.829917-3 1.000000+1-8.829514-3 1 12000 7 0 2.431200+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.248094-2 1.099560-6 3.424496-2 1.169357-6 4.522432-2 1.243584-6 6.002253-2 1.322522-6 8.012742-2 1.406471-6 1.076992-1 1.450423-6 1.252292-1 1.495749-6 1.459334-1 1.542491-6 1.704707-1 1.590694-6 1.996608-1 1.640403-6 2.345240-1 1.690730-6 2.755135-1 1.739485-6 3.215743-1 1.786716-6 3.731391-1 1.832471-6 4.306512-1 1.876796-6 4.945790-1 1.919736-6 5.654171-1 1.961334-6 6.436898-1 2.001632-6 7.302004-1 2.078490-6 9.285699-1 2.115127-6 1.042269+0 2.150619-6 1.166414+0 2.185002-6 1.301770+0 2.218310-6 1.449100+0 2.250578-6 1.609199+0 2.281837-6 1.782907+0 2.312119-6 1.971107+0 2.341456-6 2.174728+0 2.369875-6 2.394744+0 2.397406-6 2.632180+0 2.424077-6 2.888110+0 2.449914-6 3.163664+0 2.474944-6 3.460023+0 2.499192-6 3.778428+0 2.522682-6 4.120175+0 2.545438-6 4.486624+0 2.567483-6 4.879197+0 2.588839-6 5.299377+0 2.609528-6 5.748718+0 2.648985-6 6.741433+0 2.686016-6 7.871323+0 2.703668-6 8.493127+0 2.720768-6 9.156844+0 2.737334-6 9.864653+0 2.768928-6 1.141386+1 2.799050-6 1.318319+1 2.827289-6 1.517328+1 2.853763-6 1.740739+1 2.878582-6 1.990913+1 2.901851-6 2.270355+1 2.923665-6 2.581720+1 2.944115-6 2.927816+1 2.963288-6 3.311603+1 2.981262-6 3.736186+1 2.998112-6 4.204814+1 3.013910-6 4.720873+1 3.028720-6 5.287883+1 3.042605-6 5.909483+1 3.055622-6 6.589433+1 3.067825-6 7.331606+1 3.079266-6 8.139978+1 3.089991-6 9.018637+1 3.100046-6 9.971782+1 3.109473-6 1.100375+2 3.118311-6 1.211904+2 3.126596-6 1.332238+2 3.134363-6 1.461882+2 3.141645-6 1.601384+2 3.148472-6 1.751352+2 3.154872-6 1.912479+2 3.160872-6 2.085563+2 3.166497-6 2.271518+2 3.171771-6 2.471369+2 3.176715-6 2.686220+2 3.181350-6 2.917194+2 3.185695-6 3.165353+2 3.189769-6 3.431605+2 3.197407-6 4.042408+2 3.204090-6 4.734246+2 3.209938-6 5.501103+2 3.215055-6 6.330335+2 3.219532-6 7.204626+2 3.223450-6 8.104474+2 3.226878-6 9.010476+2 3.232502-6 1.077333+3 3.244092-6 1.572804+3 3.250874-6 1.961915+3 3.257355-6 2.411851+3 3.258545-6 2.503158+3 3.266877-6 3.218359+3 3.272752-6 3.799683+3 3.274879-6 4.024440+3 3.280768-6 4.680784+3 3.282880-6 4.926359+3 3.288784-6 5.631598+3 3.291539-6 5.965836+3 3.294170-6 6.284797+3 3.297930-6 6.736019+3 3.300977-6 7.093039+3 3.304237-6 7.461743+3 3.307898-6 7.853420+3 3.311938-6 8.250308+3 3.314887-6 8.511563+3 3.319888-6 8.890147+3 3.323623-6 9.113045+3 3.328165-6 9.307840+3 3.332231-6 9.406791+3 3.336064-6 9.432641+3 3.339796-6 9.394572+3 3.343072-6 9.310517+3 3.347143-6 9.142638+3 3.350722-6 8.940384+3 3.355395-6 8.606383+3 3.358975-6 8.303198+3 3.361770-6 8.042074+3 3.365763-6 7.637700+3 3.369935-6 7.184499+3 3.373929-6 6.730171+3 3.376960-6 6.377265+3 3.380968-6 5.906397+3 3.384976-6 5.437614+3 3.386901-6 5.215177+3 3.391469-6 4.699368+3 3.394903-6 4.326358+3 3.401008-6 3.702997+3 3.410906-6 2.821678+3 3.418094-6 2.290353+3 3.429625-6 1.623126+3 3.437942-6 1.267186+3 3.442076-6 1.123379+3 3.446194-6 9.990812+2 3.450296-6 8.919451+2 3.454382-6 7.997708+2 3.458452-6 7.205349+2 3.462506-6 6.524084+2 3.466544-6 5.937629+2 3.470567-6 5.431682+2 3.478580-6 4.612034+2 3.486531-6 3.987984+2 3.494420-6 3.502744+2 3.502247-6 3.116823+2 3.510013-6 2.803148+2 3.517718-6 2.543193+2 3.525363-6 2.324171+2 3.532948-6 2.137088+2 3.540475-6 1.975466+2 3.547942-6 1.834511+2 3.555351-6 1.710582+2 3.562702-6 1.600857+2 3.577289-6 1.414876+2 3.591649-6 1.264307+2 3.605784-6 1.140270+2 3.619698-6 1.036617+2 3.633395-6 9.489539+1 3.646877-6 8.740499+1 3.660149-6 8.094706+1 3.673214-6 7.533450+1 3.686075-6 7.042071+1 3.698734-6 6.608875+1 3.723658-6 5.876038+1 3.747803-6 5.286862+1 3.771193-6 4.804727+1 3.793852-6 4.404597+1 3.815803-6 4.068408+1 3.837068-6 3.782901+1 3.857669-6 3.538181+1 3.877626-6 3.326509+1 3.916292-6 2.973712+1 3.952542-6 2.697361+1 3.986526-6 2.476564+1 4.018387-6 2.297161+1 4.048256-6 2.149303+1 4.076258-6 2.025893+1 4.128762-6 1.825703+1 4.174703-6 1.677120+1 4.214901-6 1.564234+1 4.250075-6 1.476667+1 4.311628-6 1.343002+1 4.357794-6 1.256256+1 4.427042-6 1.143678+1 4.529491-6 1.005166+1 4.651228-6 8.734752+0 4.717630-6 8.124263+0 4.963968-6 6.092270+0 5.025552-6 5.547766+0 5.071740-6 5.079532+0 5.106381-6 4.658161+0 5.132362-6 4.273753+0 5.151848-6 3.933827+0 5.166462-6 3.651078+0 5.177423-6 3.430143+0 5.196433-6 3.062758+0 5.203369-6 2.948124+0 5.210305-6 2.853213+0 5.214346-6 2.809863+0 5.218479-6 2.776610+0 5.230879-6 2.761908+0 5.233416-6 2.777772+0 5.237641-6 2.820799+0 5.239244-6 2.842902+0 5.247663-6 3.015956+0 5.251271-6 3.121678+0 5.252775-6 3.171674+0 5.263298-6 3.624974+0 5.268234-6 3.902418+0 5.277833-6 4.563094+0 5.296951-6 6.326172+0 5.304887-6 7.201261+0 5.312338-6 8.073602+0 5.320626-6 9.075645+0 5.327441-6 9.902844+0 5.331250-6 1.035878+1 5.338015-6 1.114531+1 5.341072-6 1.148697+1 5.353099-6 1.271287+1 5.357508-6 1.310396+1 5.365927-6 1.374627+1 5.372614-6 1.414995+1 5.375806-6 1.430762+1 5.380593-6 1.450089+1 5.385380-6 1.464218+1 5.390139-6 1.473169+1 5.393707-6 1.476630+1 5.401737-6 1.474704+1 5.404413-6 1.471240+1 5.414035-6 1.448339+1 5.417242-6 1.437438+1 5.426863-6 1.396645+1 5.430070-6 1.380777+1 5.442899-6 1.309339+1 5.447832-6 1.279595+1 5.468556-6 1.151628+1 5.488381-6 1.038459+1 5.500544-6 9.780748+0 5.512326-6 9.270436+0 5.523741-6 8.844457+0 5.545856-6 8.186818+0 5.566588-6 7.726527+0 5.586025-6 7.389936+0 5.622470-6 6.910836+0 5.654359-6 6.586559+0 5.710164-6 6.128106+0 5.793873-6 5.531684+0 5.835727-6 5.208683+0 5.878264-6 4.853984+0 5.907201-6 4.650394+0 5.921670-6 4.585894+0 5.936138-6 4.560194+0 5.943373-6 4.564727+0 5.950607-6 4.581953+0 5.955946-6 4.603086+0 5.965288-6 4.657448+0 5.972295-6 4.712442+0 5.988061-6 4.876666+0 6.008481-6 5.151277+0 6.022950-6 5.363988+0 6.037419-6 5.569000+0 6.051887-6 5.747161+0 6.063555-6 5.860649+0 6.070556-6 5.913174+0 6.082924-6 5.974999+0 6.095293-6 5.996680+0 6.109762-6 5.974037+0 6.124230-6 5.906915+0 6.138699-6 5.805593+0 6.157428-6 5.641990+0 6.198809-6 5.252548+0 6.214029-6 5.126581+0 6.229249-6 5.019154+0 6.244469-6 4.933757+0 6.259689-6 4.872328+0 6.274910-6 4.835120+0 6.290130-6 4.820511+0 6.305350-6 4.824942+0 6.335790-6 4.868646+0 6.366230-6 4.915633+0 6.381450-6 4.926809+0 6.396670-6 4.926168+0 6.427111-6 4.891779+0 6.504860-6 4.745093+0 6.536113-6 4.706790+0 6.678119-6 4.574356+0 6.867435-6 4.382754+0 7.017976-6 4.240255+0 7.680000-6 3.776257+0 8.137471-6 3.528426+0 8.709353-6 3.281932+0 9.274999-6 3.089221+0 9.933115-6 2.910309+0 1.046996-5 2.789747+0 1.110842-5 2.672222+0 1.165000-5 2.587877+0 1.405000-5 2.316607+0 1.698244-5 2.087779+0 1.922168-5 1.932732+0 2.089296-5 1.818933+0 2.190000-5 1.751972+0 2.317395-5 1.662053+0 2.457600-5 1.558514+0 2.630268-5 1.426706+0 2.755876-5 1.328097+0 2.818383-5 1.276673+0 2.922933-5 1.190607+0 3.079550-5 1.057580+0 3.226378-5 9.296831-1 3.364030-5 8.087626-1 3.493078-5 6.953015-1 3.630781-5 5.748918-1 3.727482-5 4.917603-1 3.833814-5 4.018700-1 3.933501-5 3.211860-1 4.026957-5 2.499137-1 4.099444-5 1.987599-1 4.261894-5 9.842534-2 4.278851-5 8.925227-2 4.339382-5 6.050029-2 4.404037-5 3.656034-2 4.422594-5 3.120312-2 4.528413-5 1.247689-2 4.539882-5 1.187848-2 4.548370-5 1.168667-2 4.637241-5 2.121943-2 4.658424-5 2.696370-2 4.690257-5 3.897737-2 4.732466-5 6.163128-2 4.754721-5 7.686366-2 4.803038-5 1.186547-1 4.815788-5 1.319016-1 4.838981-5 1.586487-1 4.888694-5 2.287194-1 4.912708-5 2.697084-1 4.952487-5 3.497378-1 4.998643-5 4.647976-1 5.034327-5 5.740107-1 5.114618-5 9.101299-1 5.142621-5 1.069061+0 5.173169-5 1.281480+0 5.192592-5 1.446723+0 5.206726-5 1.587047+0 5.217905-5 1.712772+0 5.234321-5 1.925237+0 5.255874-5 2.261575+0 5.282940-5 2.776877+0 5.297128-5 3.077864+0 5.304800-5 3.244501+0 5.318549-5 3.540730+0 5.331204-5 3.799275+0 5.339378-5 3.953078+0 5.345188-5 4.054055+0 5.353490-5 4.184247+0 5.361694-5 4.294715+0 5.369074-5 4.377607+0 5.375516-5 4.436945+0 5.383799-5 4.495789+0 5.397018-5 4.552609+0 5.417980-5 4.573505+0 5.441498-5 4.559276+0 5.451894-5 4.560349+0 5.460743-5 4.570655+0 5.475747-5 4.613616+0 5.485210-5 4.658799+0 5.509875-5 4.839232+0 5.525952-5 4.996620+0 5.569813-5 5.514020+0 5.623052-5 6.208342+0 5.677710-5 6.962659+0 5.757501-5 8.154710+0 5.790642-5 8.678236+0 5.831018-5 9.331585+0 5.875175-5 1.005840+1 5.910200-5 1.064158+1 5.956621-5 1.142527+1 6.025995-5 1.262559+1 6.117897-5 1.426398+1 6.165950-5 1.513735+1 6.241613-5 1.652656+1 6.346104-5 1.843403+1 6.456542-5 2.041994+1 6.575000-5 2.250557+1 6.690000-5 2.445182+1 6.800000-5 2.622841+1 6.933277-5 2.827536+1 7.030000-5 2.969569+1 7.161434-5 3.151718+1 7.321140-5 3.357369+1 7.479517-5 3.547621+1 7.650000-5 3.740831+1 7.890346-5 3.989483+1 8.106673-5 4.191463+1 8.267470-5 4.330403+1 8.318806-5 4.392685+1 8.347682-5 4.447590+1 8.377847-5 4.533414+1 8.400729-5 4.625171+1 8.426673-5 4.762229+1 8.449893-5 4.915046+1 8.519989-5 5.474422+1 8.545352-5 5.658757+1 8.567606-5 5.785410+1 8.590841-5 5.871332+1 8.616695-5 5.907051+1 8.640858-5 5.889303+1 8.674101-5 5.810751+1 8.718875-5 5.681115+1 8.743385-5 5.628688+1 8.771509-5 5.596708+1 8.810577-5 5.599727+1 8.873907-5 5.670559+1 8.971731-5 5.790630+1 9.266753-5 6.081362+1 9.458435-5 6.281526+1 9.838428-5 6.638386+1 1.034775-4 7.049034+1 1.065724-4 7.269962+1 1.098838-4 7.483686+1 1.130795-4 7.669449+1 1.163198-4 7.833777+1 1.207010-4 8.019088+1 1.283277-4 8.272680+1 1.341220-4 8.405072+1 1.388354-4 8.493463+1 1.496683-4 8.639109+1 1.612832-4 8.725833+1 1.712971-4 8.773233+1 2.080296-4 8.856634+1 2.330999-4 8.848101+1 2.726851-4 8.761807+1 3.148654-4 8.634172+1 3.744876-4 8.427542+1 4.377740-4 8.198241+1 5.811313-4 7.682219+1 6.586835-4 7.427568+1 7.192419-4 7.226035+1 7.472515-4 7.125932+1 8.156501-4 6.846796+1 8.922069-4 6.539336+1 9.299027-4 6.381565+1 9.624949-4 6.236590+1 9.983306-4 6.057426+1 1.031979-3 5.876963+1 1.057498-3 5.730138+1 1.079928-3 5.591247+1 1.106435-3 5.412229+1 1.126318-3 5.264544+1 1.145678-3 5.105926+1 1.158579-3 4.989653+1 1.172364-3 4.853838+1 1.185523-3 4.710933+1 1.198929-3 4.547864+1 1.209192-3 4.407353+1 1.220846-3 4.225574+1 1.230344-3 4.053068+1 1.239153-3 3.865361+1 1.246379-3 3.684811+1 1.252698-3 3.501230+1 1.258044-3 3.323151+1 1.262896-3 3.143344+1 1.267687-3 2.954419+1 1.275360-3 2.665385+1 1.278524-3 2.569997+1 1.281065-3 2.511509+1 1.283384-3 2.475768+1 1.285171-3 2.461324+1 1.287388-3 2.460637+1 1.289006-3 2.472730+1 1.290294-3 2.490080+1 1.291390-3 2.510241+1 1.293058-3 2.550233+1 1.294500-3 2.593593+1 1.296024-3 2.647820+1 1.298624-3 2.758397+1 1.301697-3 2.913972+1 1.311049-3 3.479446+1 1.315032-3 3.727829+1 1.318257-3 3.920676+1 1.320888-3 4.069932+1 1.324020-3 4.236486+1 1.327417-3 4.402887+1 1.332046-3 4.606354+1 1.337569-3 4.817820+1 1.343152-3 5.003013+1 1.348963-3 5.171695+1 1.352841-3 5.273143+1 1.358727-3 5.413066+1 1.364261-3 5.531717+1 1.372461-3 5.688896+1 1.380883-3 5.831625+1 1.395738-3 6.046894+1 1.404430-3 6.155595+1 1.416595-3 6.291610+1 1.428621-3 6.410785+1 1.440158-3 6.512547+1 1.458157-3 6.651788+1 1.479108-3 6.788873+1 1.513830-3 6.974215+1 1.559706-3 7.159814+1 1.597627-3 7.277990+1 1.643690-3 7.382032+1 1.717232-3 7.482986+1 1.792904-3 7.540064+1 1.904604-3 7.555537+1 2.058449-3 7.503204+1 2.187129-3 7.427576+1 2.351926-3 7.292057+1 2.598814-3 7.034826+1 2.868638-3 6.744014+1 3.236340-3 6.361560+1 3.722329-3 5.857807+1 4.024907-3 5.565730+1 4.317341-3 5.298348+1 4.744750-3 4.926114+1 5.112577-3 4.626886+1 5.492321-3 4.339674+1 6.082699-3 3.928079+1 6.549577-3 3.633613+1 7.146549-3 3.294055+1 7.938818-3 2.902000+1 8.709636-3 2.577953+1 9.640110-3 2.250829+1 1.079072-2 1.924145+1 1.256744-2 1.545355+1 1.516076-2 1.170724+1 2.002622-2 7.692179+0 2.378990-2 5.904461+0 2.797930-2 4.574351+0 3.427624-2 3.294143+0 3.858062-2 2.706404+0 4.432495-2 2.131575+0 5.357243-2 1.529771+0 6.234320-2 1.163676+0 7.845584-2 7.626604-1 1.032111-1 4.568935-1 1.295993-1 2.963497-1 1.704978-1 1.745358-1 2.364558-1 9.205819-2 3.612864-1 3.981775-2 7.332672-1 9.722612-3 2.235892+0 1.047485-3 6.752287+0 1.148757-4 2.039158+1 1.259612-5 6.158159+1 1.381140-6 1.859734+2 1.514391-7 5.616308+2 1.660496-8 1.995262+3 1.315648-9 6.309573+3 1.31565-10 1.995262+4 1.31565-11 6.309573+4 1.31565-12 1.000000+5 5.23769-13 1 12000 7 7 2.431200+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 12000 7 0 2.431200+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 8.817300-7 1.258900-6 1.397400-6 1.584900-6 2.214800-6 1.995300-6 3.510200-6 2.511900-6 5.563300-6 3.162300-6 8.817200-6 3.981100-6 1.397400-5 5.011900-6 2.214800-5 6.309600-6 3.510100-5 7.943300-6 5.563100-5 1.000000-5 8.816900-5 1.258900-5 1.397400-4 1.584900-5 2.213700-4 1.995300-5 3.506600-4 2.511900-5 5.555100-4 3.162300-5 8.801100-4 3.981100-5 1.394500-3 5.011900-5 2.209700-3 6.309600-5 3.501500-3 7.943300-5 5.540800-3 1.000000-4 8.764600-3 1.258900-4 1.386300-2 1.584900-4 2.187700-2 1.995300-4 3.446800-2 2.511900-4 5.408700-2 3.162300-4 8.448100-2 3.981100-4 1.308800-1 5.011900-4 2.003400-1 6.309600-4 3.012000-1 7.943300-4 4.410900-1 1.000000-3 6.232600-1 1.258900-3 8.418600-1 1.584900-3 1.082800+0 1.995300-3 1.334900+0 2.511900-3 1.606500+0 3.162300-3 1.923700+0 3.981100-3 2.310800+0 5.011900-3 2.779400+0 6.309600-3 3.319900+0 7.943300-3 3.909100+0 1.000000-2 4.490000+0 1.258900-2 5.007200+0 1.584900-2 5.429700+0 1.995300-2 5.756700+0 2.511900-2 6.001400+0 3.162300-2 6.166400+0 3.981100-2 6.248600+0 5.011900-2 6.241900+0 6.309600-2 6.150100+0 7.943300-2 5.984900+0 1.000000-1 5.756500+0 1.258900-1 5.480200+0 1.584900-1 5.169800+0 1.995300-1 4.835500+0 2.511900-1 4.488800+0 3.162300-1 4.139200+0 3.981100-1 3.793600+0 5.011900-1 3.456800+0 6.309600-1 3.134200+0 7.943300-1 2.825200+0 1.000000+0 2.532100+0 1.258900+0 2.256100+0 1.584900+0 1.997800+0 1.995300+0 1.758100+0 2.511900+0 1.537600+0 3.162300+0 1.336600+0 3.981100+0 1.155200+0 5.011900+0 9.927900-1 6.309600+0 8.488400-1 7.943300+0 7.222800-1 1.000000+1 6.118900-1 1.258900+1 5.163000-1 1.584900+1 4.340500-1 1.995300+1 3.637000-1 2.511900+1 3.038400-1 3.162300+1 2.531400-1 3.981100+1 2.104000-1 5.011900+1 1.744800-1 6.309600+1 1.444100-1 7.943300+1 1.193000-1 1.000000+2 9.839200-2 1.258900+2 8.102800-2 1.584900+2 6.663500-2 1.995300+2 5.473000-2 2.511900+2 4.489900-2 3.162300+2 3.679400-2 3.981100+2 3.012100-2 5.011900+2 2.463600-2 6.309600+2 2.013200-2 7.943300+2 1.643800-2 1.000000+3 1.341100-2 1.258900+3 1.093400-2 1.584900+3 8.908300-3 1.995300+3 7.253300-3 2.511900+3 5.902100-3 3.162300+3 4.799800-3 3.981100+3 3.901300-3 5.011900+3 3.169300-3 6.309600+3 2.573300-3 7.943300+3 2.088500-3 1.000000+4 1.694200-3 1.258900+4 1.373700-3 1.584900+4 1.113400-3 1.995300+4 9.020800-4 2.511900+4 7.305700-4 3.162300+4 5.914500-4 3.981100+4 4.786500-4 5.011900+4 3.872300-4 6.309600+4 3.131700-4 7.943300+4 2.531900-4 1.000000+5 2.046300-4 1 12000 7 7 2.431200+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510165-4 3.162278-4 3.159554-4 3.981072-4 3.976757-4 5.011872-4 5.005066-4 6.309573-4 6.298887-4 7.943282-4 7.926486-4 1.000000-3 9.973833-4 1.258925-3 1.254859-3 1.584893-3 1.578623-3 1.995262-3 1.985590-3 2.511886-3 2.496904-3 3.162278-3 3.138873-3 3.981072-3 3.944178-3 5.011872-3 4.953595-3 6.309573-3 6.217629-3 7.943282-3 7.799816-3 1.000000-2 9.777559-3 1.258925-2 1.224720-2 1.584893-2 1.532586-2 1.995262-2 1.915472-2 2.511886-2 2.390146-2 3.162278-2 2.976737-2 3.981072-2 3.699149-2 5.011872-2 4.585843-2 6.309573-2 5.670052-2 7.943282-2 6.989545-2 1.000000-1 8.589387-2 1.258925-1 1.051917-1 1.584893-1 1.283502-1 1.995262-1 1.560670-1 2.511886-1 1.890962-1 3.162278-1 2.283243-1 3.981072-1 2.747729-1 5.011872-1 3.295961-1 6.309573-1 3.941607-1 7.943282-1 4.701698-1 1.000000+0 5.596087-1 1.258925+0 6.649632-1 1.584893+0 7.892915-1 1.995262+0 9.363519-1 2.511886+0 1.110867+0 3.162278+0 1.318563+0 3.981072+0 1.566451+0 5.011872+0 1.863203+0 6.309573+0 2.219351+0 7.943282+0 2.647820+0 1.000000+1 3.164384+0 1.258925+1 3.788397+0 1.584893+1 4.543517+0 1.995262+1 5.458663+0 2.511886+1 6.569389+0 3.162278+1 7.919324+0 3.981072+1 9.561895+0 5.011872+1 1.156253+1 6.309573+1 1.400214+1 7.943282+1 1.697973+1 1.000000+2 2.061709+1 1.258925+2 2.506430+1 1.584893+2 3.050588+1 1.995262+2 3.716947+1 2.511886+2 4.533431+1 3.162278+2 5.534681+1 3.981072+2 6.763123+1 5.011872+2 8.271431+1 6.309573+2 1.012437+2 7.943282+2 1.240195+2 1.000000+3 1.520286+2 1.258925+3 1.864934+2 1.584893+3 2.289211+2 1.995262+3 2.811803+2 2.511886+3 3.455643+2 3.162278+3 4.249407+2 3.981072+3 5.228231+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 12000 7 9 2.431200+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88210-10 1.995262-5 1.090659-9 2.511886-5 1.728550-9 3.162278-5 2.739583-9 3.981072-5 4.341966-9 5.011872-5 6.881495-9 6.309573-5 1.090609-8 7.943282-5 1.727778-8 1.000000-4 2.737623-8 1.258925-4 4.337986-8 1.584893-4 6.870223-8 1.995262-4 1.087954-7 2.511886-4 1.721880-7 3.162278-4 2.723777-7 3.981072-4 4.314249-7 5.011872-4 6.806086-7 6.309573-4 1.068681-6 7.943282-4 1.679617-6 1.000000-3 2.616679-6 1.258925-3 4.066223-6 1.584893-3 6.270137-6 1.995262-3 9.672134-6 2.511886-3 1.498198-5 3.162278-3 2.340475-5 3.981072-3 3.689324-5 5.011872-3 5.827766-5 6.309573-3 9.194481-5 7.943282-3 1.434661-4 1.000000-2 2.224408-4 1.258925-2 3.420563-4 1.584893-2 5.230719-4 1.995262-2 7.979017-4 2.511886-2 1.217409-3 3.162278-2 1.855403-3 3.981072-2 2.819225-3 5.011872-2 4.260297-3 6.309573-2 6.395216-3 7.943282-2 9.537375-3 1.000000-1 1.410613-2 1.258925-1 2.070080-2 1.584893-1 3.013913-2 1.995262-1 4.345925-2 2.511886-1 6.209247-2 3.162278-1 8.790350-2 3.981072-1 1.233343-1 5.011872-1 1.715911-1 6.309573-1 2.367967-1 7.943282-1 3.241584-1 1.000000+0 4.403913-1 1.258925+0 5.939622-1 1.584893+0 7.956017-1 1.995262+0 1.058910+0 2.511886+0 1.401019+0 3.162278+0 1.843715+0 3.981072+0 2.414621+0 5.011872+0 3.148669+0 6.309573+0 4.090222+0 7.943282+0 5.295463+0 1.000000+1 6.835616+0 1.258925+1 8.800857+0 1.584893+1 1.130541+1 1.995262+1 1.449396+1 2.511886+1 1.854948+1 3.162278+1 2.370345+1 3.981072+1 3.024882+1 5.011872+1 3.855619+1 6.309573+1 4.909359+1 7.943282+1 6.245309+1 1.000000+2 7.938291+1 1.258925+2 1.008282+2 1.584893+2 1.279834+2 1.995262+2 1.623568+2 2.511886+2 2.058543+2 3.162278+2 2.608810+2 3.981072+2 3.304759+2 5.011872+2 4.184729+2 6.309573+2 5.297136+2 7.943282+2 6.703087+2 1.000000+3 8.479714+2 1.258925+3 1.072432+3 1.584893+3 1.355972+3 1.995262+3 1.714082+3 2.511886+3 2.166322+3 3.162278+3 2.737337+3 3.981072+3 3.458249+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 12000 7 0 2.431200+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.890000-6 7.093072+5 6.940000-6 6.612740+5 7.079458-6 5.479266+5 7.200000-6 4.635200+5 7.328245-6 3.858297+5 7.420000-6 3.369380+5 7.520000-6 2.896340+5 7.600000-6 2.556080+5 7.700000-6 2.175860+5 7.770000-6 1.937160+5 7.852356-6 1.682140+5 7.943282-6 1.430599+5 8.020000-6 1.240864+5 8.100000-6 1.063274+5 8.150000-6 9.620420+4 8.222426-6 8.278211+4 8.290000-6 7.149440+4 8.350000-6 6.240680+4 8.400000-6 5.545980+4 8.460000-6 4.783440+4 8.511380-6 4.188758+4 8.550000-6 3.775340+4 8.600000-6 3.280840+4 8.635000-6 2.960920+4 8.680000-6 2.579820+4 8.720000-6 2.268440+4 8.755000-6 2.016240+4 8.790000-6 1.782340+4 8.820000-6 1.595730+4 8.850000-6 1.421666+4 8.880000-6 1.259600+4 8.912509-6 1.097203+4 8.940000-6 9.702040+3 8.970000-6 8.421180+3 8.990000-6 7.626040+3 9.015711-6 6.671636+3 9.035000-6 6.004340+3 9.055000-6 5.355300+3 9.077000-6 4.690940+3 9.092000-6 4.267080+3 9.110000-6 3.788960+3 9.128000-6 3.343460+3 9.142000-6 3.019140+3 9.155000-6 2.735100+3 9.170000-6 2.427460+3 9.185000-6 2.141020+3 9.200000-6 1.875458+3 9.215000-6 1.630418+3 9.225714-6 1.467766+3 9.240000-6 1.266688+3 9.250000-6 1.136534+3 9.260000-6 1.014996+3 9.270000-6 9.019740+2 9.280000-6 7.973880+2 9.291000-6 6.919600+2 9.302000-6 5.964880+2 9.310000-6 5.332340+2 9.320000-6 4.614040+2 9.335000-6 3.685600+2 9.353000-6 2.803600+2 9.361000-6 2.491620+2 9.368000-6 2.258520+2 9.374000-6 2.088100+2 9.380000-6 1.944636+2 9.385000-6 1.845510+2 9.390000-6 1.764854+2 9.393500-6 1.719330+2 9.397000-6 1.682766+2 9.401000-6 1.651936+2 9.405000-6 1.632650+2 9.409000-6 1.624942+2 9.413000-6 1.628730+2 9.417000-6 1.643962+2 9.421500-6 1.674710+2 9.426000-6 1.719798+2 9.430000-6 1.771842+2 9.435000-6 1.852684+2 9.440000-6 1.950956+2 9.445000-6 2.066560+2 9.452000-6 2.257300+2 9.460000-6 2.516260+2 9.470000-6 2.900880+2 9.490000-6 3.870260+2 9.502000-6 4.577700+2 9.510000-6 5.100980+2 9.520000-6 5.812440+2 9.531000-6 6.667900+2 9.542000-6 7.598700+2 9.555000-6 8.794980+2 9.565000-6 9.784680+2 9.577000-6 1.105100+3 9.589000-6 1.240232+3 9.600000-6 1.371454+3 9.615000-6 1.561570+3 9.627000-6 1.722788+3 9.642000-6 1.935606+3 9.655000-6 2.129920+3 9.670000-6 2.365380+3 9.685000-6 2.612720+3 9.700000-6 2.871660+3 9.715000-6 3.142040+3 9.730000-6 3.423740+3 9.750000-6 3.816300+3 9.772372-6 4.278012+3 9.790000-6 4.658200+3 9.810000-6 5.106720+3 9.830000-6 5.572860+3 9.860000-6 6.304280+3 9.890000-6 7.073040+3 9.920000-6 7.877880+3 9.945000-6 8.574960+3 9.980000-6 9.589720+3 1.001000-5 1.049420+4 1.005000-5 1.174766+4 1.008500-5 1.288690+4 1.012000-5 1.406368+4 1.017000-5 1.580676+4 1.021500-5 1.743366+4 1.027000-5 1.949232+4 1.033000-5 2.181860+4 1.039000-5 2.422260+4 1.044000-5 2.627920+4 1.050000-5 2.880680+4 1.057000-5 3.182820+4 1.065000-5 3.536620+4 1.073000-5 3.898420+4 1.081000-5 4.266740+4 1.088000-5 4.593600+4 1.096478-5 4.994351+4 1.106700-5 5.482818+4 1.115000-5 5.882720+4 1.127000-5 6.464120+4 1.138000-5 6.998600+4 1.150000-5 7.581420+4 1.165000-5 8.306880+4 1.180000-5 9.026080+4 1.195000-5 9.736420+4 1.207000-5 1.029684+5 1.222000-5 1.098606+5 1.240000-5 1.179452+5 1.260000-5 1.266672+5 1.280000-5 1.350942+5 1.303167-5 1.444678+5 1.330000-5 1.547878+5 1.357000-5 1.645806+5 1.390000-5 1.757438+5 1.420000-5 1.851334+5 1.450000-5 1.938188+5 1.480000-5 2.018240+5 1.515000-5 2.103400+5 1.550000-5 2.180200+5 1.590000-5 2.258400+5 1.640590-5 2.343940+5 1.698244-5 2.425105+5 1.767000-5 2.502066+5 1.840772-5 2.564006+5 1.920000-5 2.610500+5 2.000000-5 2.640260+5 2.089296-5 2.656787+5 2.190000-5 2.658860+5 2.317395-5 2.642638+5 2.454709-5 2.608001+5 2.630268-5 2.546604+5 2.818383-5 2.468641+5 3.019952-5 2.378011+5 3.273407-5 2.260256+5 3.548134-5 2.134099+5 3.890451-5 1.983539+5 4.265795-5 1.830435+5 4.677351-5 1.676969+5 5.150000-5 1.518818+5 5.624000-5 1.377385+5 5.624000-5 1.375446+6 5.655000-5 1.450155+6 5.655000-5 2.061125+6 5.688529-5 2.187346+6 5.690000-5 2.193052+6 5.710000-5 2.268666+6 5.754399-5 2.443014+6 5.760000-5 2.464834+6 5.821032-5 2.709043+6 5.830000-5 2.744883+6 5.888437-5 2.983161+6 5.956621-5 3.262105+6 6.025596-5 3.542322+6 6.030000-5 3.560396+6 6.095369-5 3.821865+6 6.165950-5 4.096720+6 6.237348-5 4.364688+6 6.309573-5 4.623380+6 6.382635-5 4.870584+6 6.456542-5 5.104912+6 6.540000-5 5.349059+6 6.610000-5 5.536873+6 6.690000-5 5.732629+6 6.800000-5 5.969614+6 6.839116-5 6.040337+6 6.918310-5 6.184868+6 7.030000-5 6.353549+6 7.161434-5 6.513612+6 7.300000-5 6.642677+6 7.450000-5 6.743312+6 7.585776-5 6.799503+6 7.650000-5 6.825874+6 7.852356-5 6.861760+6 8.080000-5 6.858510+6 8.317638-5 6.818192+6 8.511380-5 6.757291+6 8.650000-5 6.714837+6 8.946000-5 6.585445+6 8.946000-5 7.171423+6 9.015711-5 7.141088+6 9.400000-5 6.932974+6 9.800000-5 6.688032+6 1.023293-4 6.399488+6 1.060000-4 6.142741+6 1.071519-4 6.060234+6 1.109175-4 5.794223+6 1.122018-4 5.702136+6 1.161500-4 5.424229+6 1.174898-4 5.330114+6 1.202264-4 5.141105+6 1.220000-4 5.023737+6 1.240000-4 4.890823+6 1.260000-4 4.760814+6 1.288250-4 4.585214+6 1.318257-4 4.403471+6 1.330000-4 4.334398+6 1.380384-4 4.054359+6 1.400000-4 3.950159+6 1.412538-4 3.885130+6 1.445440-4 3.720251+6 1.480000-4 3.558649+6 1.513561-4 3.410696+6 1.531087-4 3.335536+6 1.566751-4 3.188876+6 1.659587-4 2.848223+6 1.678804-4 2.783298+6 1.819701-4 2.362990+6 1.840772-4 2.306694+6 1.883649-4 2.197584+6 1.972423-4 1.995100+6 2.041738-4 1.851805+6 2.162719-4 1.634924+6 2.220000-4 1.542869+6 2.290868-4 1.438531+6 2.400000-4 1.297231+6 2.426610-4 1.265677+6 2.630268-4 1.053719+6 2.660725-4 1.026584+6 2.691535-4 9.999838+5 2.951209-4 8.073589+5 2.985383-4 7.861362+5 3.273407-4 6.317631+5 3.311311-4 6.148063+5 3.350000-4 5.978536+5 3.715352-4 4.656494+5 3.758374-4 4.527679+5 4.168694-4 3.511937+5 4.216965-4 3.413946+5 4.265795-4 3.318225+5 4.731513-4 2.565090+5 5.069907-4 2.154972+5 5.308844-4 1.919863+5 5.370318-4 1.864834+5 5.432503-4 1.810976+5 5.888437-4 1.475037+5 6.025596-4 1.391428+5 6.095369-4 1.351122+5 6.165950-4 1.311658+5 6.683439-4 1.065876+5 6.839116-4 1.004802+5 6.998420-4 9.467714+4 7.000000-4 9.462180+4 7.585776-4 7.677659+4 7.673615-4 7.452111+4 7.852356-4 7.017337+4 8.035261-4 6.607420+4 8.709636-4 5.349059+4 8.810489-4 5.188986+4 8.912509-4 5.033384+4 9.225714-4 4.594719+4 9.885531-4 3.827799+4 1.000000-3 3.712188+4 1.035142-3 3.385609+4 1.047129-3 3.283402+4 1.135011-3 2.648302+4 1.188502-3 2.339398+4 1.216186-3 2.199058+4 1.294500-3 1.859011+4 1.294500-3 2.273381+5 1.303167-3 2.248217+5 1.318257-3 2.205411+5 1.348963-3 2.122296+5 1.412538-3 1.882837+5 1.479108-3 1.670389+5 1.500000-3 1.612482+5 1.531087-3 1.531316+5 1.548817-3 1.487561+5 1.621810-3 1.324725+5 1.730000-3 1.125980+5 1.737801-3 1.113291+5 1.778279-3 1.050553+5 1.819701-3 9.913565+4 1.862087-3 9.346603+4 2.000000-3 7.785644+4 2.018366-3 7.605612+4 2.065380-3 7.170347+4 2.089296-3 6.962162+4 2.162719-3 6.357011+4 2.317395-3 5.300007+4 2.344229-3 5.141672+4 2.398833-3 4.839044+4 2.400000-3 4.832848+4 2.511886-3 4.279534+4 2.691535-3 3.559156+4 2.722701-3 3.451410+4 2.754229-3 3.344697+4 2.786121-3 3.241282+4 2.951209-3 2.770278+4 3.126079-3 2.367743+4 3.235937-3 2.154727+4 3.273407-3 2.088071+4 3.467369-3 1.779446+4 3.672823-3 1.516454+4 3.801894-3 1.377609+4 3.845918-3 1.333628+4 4.073803-3 1.133923+4 4.315191-3 9.641316+3 4.466836-3 8.746581+3 4.518559-3 8.463223+3 4.786301-3 7.178377+3 5.069907-3 6.088644+3 5.248075-3 5.515505+3 5.308844-3 5.336714+3 5.623413-3 4.515684+3 6.025596-3 3.695459+3 6.165950-3 3.456435+3 6.309573-3 3.232874+3 6.382635-3 3.126574+3 6.606934-3 2.824493+3 7.161434-3 2.228327+3 7.244360-3 2.154066+3 7.498942-3 1.945808+3 7.673615-3 1.818281+3 7.762471-3 1.756949+3 8.511380-3 1.335207+3 8.709636-3 1.246594+3 8.912509-3 1.163863+3 9.332543-3 1.014510+3 1.011579-2 7.954865+2 1.047129-2 7.166929+2 1.059254-2 6.922037+2 1.122018-2 5.817529+2 1.150000-2 5.400483+2 1.216186-2 4.552021+2 1.273503-2 3.954337+2 1.288250-2 3.817600+2 1.380384-2 3.090990+2 1.428894-2 2.781326+2 1.479108-2 2.499860+2 1.548817-2 2.168153+2 1.640590-2 1.814720+2 1.737801-2 1.518912+2 1.800000-2 1.362464+2 1.819701-2 1.316939+2 1.905461-2 1.140468+2 2.264644-2 6.649441+1 2.371374-2 5.750368+1 2.398833-2 5.545276+1 2.511886-2 4.795497+1 2.851018-2 3.216211+1 2.884032-2 3.101439+1 2.985383-2 2.778474+1 3.630781-2 1.490006+1 3.801894-2 1.286703+1 3.845918-2 1.239964+1 4.677351-2 6.610529+0 5.011872-2 5.293951+0 5.128614-2 4.916184+0 5.888437-2 3.144314+0 6.531306-2 2.248817+0 6.683439-2 2.087397+0 7.498942-2 1.438131+0 8.128305-2 1.107992+0 8.222426-2 1.067472+0 9.332543-2 7.076249-1 9.772372-2 6.093628-1 1.096478-1 4.193341-1 1.148154-1 3.611054-1 1.202264-1 3.109640-1 1.230269-1 2.887422-1 1.244515-1 2.782344-1 1.273503-1 2.583620-1 1.333521-1 2.227739-1 1.462177-1 1.656287-1 1.531088-1 1.428142-1 1.566751-1 1.327183-1 1.659587-1 1.105051-1 1.737801-1 9.544348-2 1.862087-1 7.661139-2 1.883649-1 7.385580-2 1.972423-1 6.387313-2 2.000000-1 6.113893-2 2.089296-1 5.327774-2 2.213095-1 4.444002-2 2.290868-1 3.992170-2 2.317395-1 3.852146-2 2.344229-1 3.717034-2 2.483133-1 3.109350-2 2.540973-1 2.895067-2 2.570396-1 2.795134-2 2.630268-1 2.605499-2 2.691535-1 2.428923-2 2.754229-1 2.264323-2 2.818383-1 2.110878-2 2.884032-1 1.967832-2 3.000000-1 1.748689-2 3.054921-1 1.656325-2 3.090295-1 1.600259-2 3.273407-1 1.347145-2 3.388442-1 1.217385-2 3.427678-1 1.177026-2 3.630781-1 9.944445-3 3.715352-1 9.309345-3 3.758374-1 9.007170-3 3.801894-1 8.715223-3 4.027170-1 7.391538-3 4.073803-1 7.157960-3 4.168694-1 6.712722-3 4.216965-1 6.500944-3 4.365158-1 5.904909-3 4.466836-1 5.538231-3 4.623810-1 5.042451-3 4.677351-1 4.887518-3 4.695800-1 4.835646-3 4.897788-1 4.313996-3 4.954502-1 4.184736-3 5.069907-1 3.937721-3 5.128614-1 3.819940-3 5.370318-1 3.383045-3 5.432503-1 3.284484-3 5.495409-1 3.188794-3 5.559043-1 3.095893-3 5.623413-1 3.005868-3 5.888437-1 2.671223-3 5.956621-1 2.595830-3 6.095369-1 2.451369-3 6.456542-1 2.125046-3 6.606935-1 2.010735-3 6.683439-1 1.956024-3 6.998420-1 1.751685-3 7.161434-1 1.660885-3 7.244360-1 1.617364-3 7.585776-1 1.454406-3 7.673615-1 1.416300-3 7.852356-1 1.345479-3 8.222427-1 1.214573-3 8.413951-1 1.153978-3 8.511380-1 1.125688-3 8.609938-1 1.098095-3 8.912509-1 1.019468-3 9.120108-1 9.702043-4 9.225714-1 9.464725-4 9.332543-1 9.241363-4 9.440609-1 9.023299-4 9.660509-1 8.603563-4 1.000000+0 8.010293-4 1.022000+0 7.667658-4 1.023293+0 7.648207-4 1.035142+0 7.473366-4 1.047129+0 7.302771-4 1.083927+0 6.814029-4 1.122018+0 6.358002-4 1.148154+0 6.080086-4 1.230269+0 5.318796-4 1.244515+0 5.201523-4 1.258925+0 5.091295-4 1.333521+0 4.575525-4 1.364583+0 4.384156-4 1.380384+0 4.294948-4 1.462177+0 3.876494-4 1.500000+0 3.704148-4 1.513561+0 3.648049-4 1.659587+0 3.122243-4 1.678804+0 3.064458-4 1.862087+0 2.591389-4 1.883649+0 2.545170-4 2.113489+0 2.126853-4 2.137962+0 2.090441-4 2.371374+0 1.790288-4 2.398833+0 1.760862-4 2.691535+0 1.492567-4 2.722701+0 1.468966-4 3.126079+0 1.213810-4 3.198895+0 1.176996-4 3.630781+0 9.939724-5 3.715352+0 9.648679-5 4.265795+0 8.076040-5 4.365158+0 7.847550-5 5.128614+0 6.421991-5 5.248075+0 6.246064-5 6.237348+0 5.073575-5 6.382635+0 4.938747-5 7.762471+0 3.929882-5 8.000000+0 3.797666-5 1.000000+1 2.949090-5 1.035142+1 2.838552-5 1.303167+1 2.201231-5 1.348963+1 2.120506-5 1.778279+1 1.573256-5 1.819701+1 1.535371-5 2.540973+1 1.078716-5 2.570396+1 1.065666-5 4.120975+1 6.529965-6 4.168694+1 6.452426-6 7.585776+1 3.497967-6 1.513561+2 1.739077-6 3.019952+2 8.678032-7 2.398833+3 1.088686-7 1.000000+5 2.610008-9 1 12000 7 0 2.431200+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.890000-6 6.890000-6 5.624000-5 6.890000-6 5.624000-5 1.307293-5 5.655000-5 1.311235-5 5.655000-5 1.330492-5 5.888437-5 1.346066-5 6.237348-5 1.356943-5 6.918310-5 1.364262-5 8.946000-5 1.368337-5 8.946000-5 1.424599-5 1.122018-4 1.436774-5 1.566751-4 1.467662-5 2.426610-4 1.512303-5 3.758374-4 1.567455-5 5.308844-4 1.617618-5 7.000000-4 1.659826-5 9.225714-4 1.702610-5 1.216186-3 1.744157-5 1.294500-3 1.753432-5 1.294500-3 2.887229-5 1.500000-3 2.894355-5 2.786121-3 2.909595-5 7.762471-3 2.919047-5 2.000000-1 2.922945-5 1.000000+5 2.922993-5 1 12000 7 7 2.431200+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.890000-6 0.0 5.624000-5 0.0 5.624000-5 1.224618-7 5.655000-5 1.232426-7 5.655000-5 1.246469-7 5.760000-5 1.262445-7 5.956621-5 1.282113-7 6.165950-5 1.294342-7 6.540000-5 1.305694-7 7.300000-5 1.314100-7 9.400000-5 1.319434-7 2.041738-4 1.316425-7 6.165950-4 1.300647-7 1.294500-3 1.287503-7 1.294500-3 3.132666-5 1.348963-3 3.144355-5 2.400000-3 3.171318-5 4.518559-3 3.184702-5 2.398833-2 3.190159-5 1.000000+5 3.188909-5 1 12000 7 9 2.431200+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.890000-6 0.0 5.624000-5 4.935000-5 5.624000-5 4.304461-5 5.655000-5 4.331441-5 5.655000-5 4.312043-5 6.165950-5 4.797601-5 8.946000-5 7.564475-5 8.946000-5 7.508211-5 5.370318-4 5.207090-4 1.294500-3 1.276837-3 1.294500-3 1.234301-3 1.000000+5 1.000000+5 1 12000 7 0 2.431200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.294500-3 2.087480+5 1.348963-3 1.956051+5 1.479108-3 1.540909+5 1.819701-3 9.179897+4 2.089296-3 6.461515+4 2.400000-3 4.492640+4 2.722701-3 3.212591+4 3.273407-3 1.946314+4 3.801894-3 1.285131+4 4.466836-3 8.165067+3 5.308844-3 4.984628+3 6.382635-3 2.921503+3 7.673615-3 1.699507+3 9.332543-3 9.484401+2 1.150000-2 5.049560+2 1.428894-2 2.600833+2 1.800000-2 1.274104+2 2.264644-2 6.218262+1 2.884032-2 2.900316+1 3.801894-2 1.203247+1 5.128614-2 4.597087+0 8.222426-2 9.981017-1 1.202264-1 2.907052-1 1.531088-1 1.335039-1 1.883649-1 6.903879-2 2.213095-1 4.153989-2 2.540973-1 2.706075-2 2.884032-1 1.839326-2 3.273407-1 1.259146-2 3.630781-1 9.294768-3 4.027170-1 6.908573-3 4.466836-1 5.176492-3 4.897788-1 4.032358-3 5.370318-1 3.162253-3 5.888437-1 2.496892-3 6.456542-1 1.986385-3 6.998420-1 1.637374-3 7.673615-1 1.323882-3 8.413951-1 1.078693-3 9.225714-1 8.847105-4 1.000000+0 7.487500-4 1.122018+0 5.943127-4 1.244515+0 4.862193-4 1.364583+0 4.098155-4 1.500000+0 3.462500-4 1.659587+0 2.918565-4 1.862087+0 2.422352-4 2.113489+0 1.988119-4 2.371374+0 1.673513-4 2.691535+0 1.395212-4 3.126079+0 1.134623-4 3.630781+0 9.291273-5 4.265795+0 7.549184-5 5.128614+0 6.003047-5 6.237348+0 4.742604-5 7.762471+0 3.673506-5 1.000000+1 2.756700-5 1.303167+1 2.057633-5 1.778279+1 1.470629-5 2.570396+1 9.961713-6 4.168694+1 6.031645-6 7.585776+1 3.269860-6 1.513561+2 1.625665-6 3.019952+2 8.112120-7 2.398833+3 1.017689-7 1.000000+5 2.439800-9 1 12000 7 0 2.431200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.294500-3 2.988200-5 1.000000+5 2.988200-5 1 12000 7 7 2.431200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.294500-3 3.410500-5 1.000000+5 3.410500-5 1 12000 7 9 2.431200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.294500-3 1.230513-3 1.000000+5 1.000000+5 1 12000 7 0 2.431200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 8.946000-5 5.859780+5 1.122018-4 5.616845+5 1.202264-4 5.512282+5 1.260000-4 5.412740+5 1.330000-4 5.263000+5 1.400000-4 5.086240+5 1.480000-4 4.861820+5 1.566751-4 4.607276+5 1.678804-4 4.283632+5 1.840772-4 3.854209+5 2.041738-4 3.394927+5 2.220000-4 3.044020+5 2.426610-4 2.689958+5 2.660725-4 2.348884+5 2.985383-4 1.966564+5 3.350000-4 1.633974+5 3.715352-4 1.372921+5 4.168694-4 1.121984+5 4.731513-4 8.916945+4 5.308844-4 7.183164+4 6.025596-4 5.616115+4 6.839116-4 4.359157+4 7.673615-4 3.438091+4 8.709636-4 2.629974+4 9.885531-4 1.996718+4 1.135011-3 1.466636+4 1.303167-3 1.068250+4 1.500000-3 7.674460+3 1.730000-3 5.443720+3 2.000000-3 3.809780+3 2.317395-3 2.631155+3 2.691535-3 1.792902+3 3.126079-3 1.213102+3 3.672823-3 7.903998+2 4.315191-3 5.111191+2 5.069907-3 3.281243+2 6.025596-3 2.024686+2 7.161434-3 1.239561+2 8.511380-3 7.530327+1 1.011579-2 4.541167+1 1.216186-2 2.627813+1 1.479108-2 1.457943+1 1.819701-2 7.750403+0 2.264644-2 3.945903+0 2.851018-2 1.923325+0 3.630781-2 8.972869-1 4.677351-2 4.004356-1 6.683439-2 1.273033-1 1.244515-1 1.707387-2 1.566751-1 8.160560-3 1.972423-1 3.932285-3 2.290868-1 2.460143-3 2.630268-1 1.606702-3 3.000000-1 1.078937-3 3.388442-1 7.515927-4 3.758374-1 5.562392-4 4.168694-1 4.145492-4 4.623810-1 3.113489-4 5.069907-1 2.430615-4 5.559043-1 1.910623-4 6.095369-1 1.512843-4 6.606935-1 1.241251-4 7.161434-1 1.025334-4 7.852356-1 8.306907-5 8.609938-1 6.779891-5 9.440609-1 5.571429-5 1.035142+0 4.615578-5 1.148154+0 3.754244-5 1.258925+0 3.144410-5 1.380384+0 2.652625-5 1.513561+0 2.253220-5 1.678804+0 1.892714-5 1.883649+0 1.572072-5 2.137962+0 1.291099-5 2.398833+0 1.087549-5 2.722701+0 9.073088-6 3.198895+0 7.268571-6 3.715352+0 5.958762-6 4.365158+0 4.846500-6 5.248075+0 3.857636-6 6.382635+0 3.050328-6 8.000000+0 2.345300-6 1.035142+1 1.753046-6 1.348963+1 1.309753-6 1.819701+1 9.484872-7 2.570396+1 6.584101-7 4.168694+1 3.986571-7 7.585776+1 2.161145-7 1.513561+2 1.074493-7 3.019952+2 5.361592-8 2.398833+3 6.726448-9 1.000000+5 1.61260-10 1 12000 7 0 2.431200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 8.946000-5 2.056900-5 1.000000+5 2.056900-5 1 12000 7 7 2.431200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 8.946000-5 1.320900-7 1.000000+5 1.320900-7 1 12000 7 9 2.431200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 8.946000-5 6.875891-5 1.000000+5 1.000000+5 1 12000 7 0 2.431200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 5.655000-5 6.109700+5 5.710000-5 6.790400+5 5.760000-5 7.437200+5 5.830000-5 8.365600+5 5.888437-5 9.153600+5 5.956621-5 1.008500+6 6.025596-5 1.102500+6 6.095369-5 1.196000+6 6.165950-5 1.288500+6 6.237348-5 1.379000+6 6.309573-5 1.466800+6 6.382635-5 1.550900+6 6.456542-5 1.631000+6 6.540000-5 1.714600+6 6.610000-5 1.779100+6 6.690000-5 1.846500+6 6.800000-5 1.928400+6 6.918310-5 2.003100+6 7.030000-5 2.062000+6 7.161434-5 2.118400+6 7.300000-5 2.164300+6 7.450000-5 2.200600+6 7.650000-5 2.231500+6 7.852356-5 2.246500+6 8.080000-5 2.248400+6 8.317638-5 2.237800+6 8.650000-5 2.206700+6 9.015711-5 2.157100+6 9.400000-5 2.092300+6 9.800000-5 2.014900+6 1.023293-4 1.922600+6 1.071519-4 1.814500+6 1.122018-4 1.699000+6 1.174898-4 1.579000+6 1.240000-4 1.437400+6 1.318257-4 1.281800+6 1.412538-4 1.118400+6 1.531087-4 9.474300+5 1.678804-4 7.786800+5 1.819701-4 6.518600+5 1.972423-4 5.421000+5 2.162719-4 4.357400+5 2.400000-4 3.378600+5 2.691535-4 2.533900+5 2.985383-4 1.939500+5 3.311311-4 1.472900+5 3.715352-4 1.077000+5 4.216965-4 7.577200+4 4.731513-4 5.462500+4 5.432503-4 3.657600+4 6.165950-4 2.513600+4 6.998420-4 1.714200+4 7.852356-4 1.203500+4 8.810489-4 8.400000+3 1.000000-3 5.619500+3 1.135011-3 3.735100+3 1.318257-3 2.286900+3 1.531087-3 1.388300+3 1.737801-3 9.046100+2 2.018366-3 5.416000+2 2.344229-3 3.219600+2 2.754229-3 1.824800+2 3.235937-3 1.026400+2 3.801894-3 5.729400+1 4.466836-3 3.174200+1 5.248075-3 1.745500+1 6.165950-3 9.528900+0 7.244360-3 5.164102+0 8.709636-3 2.542689+0 1.047129-2 1.242295+0 1.288250-2 5.502617-1 1.640590-2 2.110391-1 2.511886-2 3.852515-2 5.011872-2 2.419882-3 6.531306-2 8.416597-4 8.128305-2 3.543306-4 9.772372-2 1.721381-4 1.148154-1 9.218759-5 1.333521-1 5.199707-5 1.531088-1 3.086660-5 1.737801-1 1.926947-5 1.972423-1 1.211832-5 2.213095-1 8.004044-6 2.483133-1 5.325517-6 2.754229-1 3.715966-6 3.054921-1 2.610966-6 3.388442-1 1.848263-6 3.715352-1 1.368972-6 4.073803-1 1.020796-6 4.466836-1 7.661368-7 4.954502-1 5.588890-7 5.432503-1 4.250014-7 5.956621-1 3.255945-7 6.456542-1 2.595924-7 6.998420-1 2.084787-7 7.585776-1 1.684825-7 8.609938-1 1.215475-7 9.120108-1 1.053573-7 9.660509-1 9.190616-8 1.022000+0 8.102300-8 1.083927+0 7.147138-8 1.148154+0 6.361717-8 1.230269+0 5.571913-8 1.333521+0 4.811625-8 1.462177+0 4.102624-8 1.678804+0 3.253723-8 1.883649+0 2.700478-8 2.113489+0 2.256579-8 2.371374+0 1.899495-8 2.691535+0 1.583567-8 3.126079+0 1.287766-8 3.630781+0 1.054561-8 4.265795+0 8.568490-9 5.128614+0 6.813598-9 6.237348+0 5.382993-9 7.762471+0 4.169502-9 1.000000+1 3.128900-9 1.303167+1 2.335397-9 1.778279+1 1.669187-9 2.570396+1 1.130638-9 4.168694+1 6.84613-10 7.585776+1 3.71138-10 1.513561+2 1.84526-10 3.019952+2 9.20750-11 2.398833+3 1.15514-11 1.000000+5 2.76920-13 1 12000 7 0 2.431200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 5.655000-5 1.376200-5 1.000000+5 1.376200-5 1 12000 7 7 2.431200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.655000-5 1.279800-7 1.000000+5 1.279800-7 1 12000 7 9 2.431200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.655000-5 4.266002-5 1.000000+5 1.000000+5 1 12000 7 0 2.431200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 5.624000-5 1.237708+6 5.690000-5 1.403560+6 5.754399-5 1.572651+6 5.821032-5 1.752600+6 5.888437-5 1.937270+6 5.956621-5 2.124850+6 6.030000-5 2.325292+6 6.095369-5 2.500588+6 6.165950-5 2.684647+6 6.237348-5 2.863796+6 6.309573-5 3.036447+6 6.382635-5 3.201286+6 6.456542-5 3.357223+6 6.540000-5 3.519648+6 6.610000-5 3.644496+6 6.690000-5 3.774560+6 6.800000-5 3.931920+6 6.918310-5 4.074918+6 7.030000-5 4.186960+6 7.161434-5 4.293178+6 7.300000-5 4.378920+6 7.450000-5 4.445920+6 7.650000-5 4.501000+6 7.852356-5 4.525249+6 8.080000-5 4.523640+6 8.317638-5 4.497372+6 8.650000-5 4.429640+6 9.015711-5 4.324984+6 9.400000-5 4.190600+6 9.800000-5 4.031680+6 1.023293-4 3.844216+6 1.060000-4 3.677692+6 1.109175-4 3.449967+6 1.161500-4 3.209195+6 1.220000-4 2.950084+6 1.288250-4 2.668815+6 1.380384-4 2.331843+6 1.513561-4 1.931073+6 1.659587-4 1.587699+6 1.819701-4 1.295597+6 1.972423-4 1.076877+6 2.162719-4 8.652981+5 2.426610-4 6.523585+5 2.691535-4 5.026519+5 2.985383-4 3.844973+5 3.311311-4 2.918833+5 3.758374-4 2.066717+5 4.265795-4 1.451993+5 4.731513-4 1.080767+5 5.370318-4 7.481102+4 6.095369-4 5.142358+4 7.000000-4 3.384028+4 8.035261-4 2.212047+4 9.225714-4 1.432637+4 1.047129-3 9.556191+3 1.216186-3 5.872377+3 1.412538-3 3.577933+3 1.621810-3 2.248261+3 1.862087-3 1.403900+3 2.162719-3 8.367786+2 2.511886-3 4.952715+2 2.951209-3 2.793937+2 3.467369-3 1.564071+2 4.073803-3 8.689301+1 4.786301-3 4.791211+1 5.623413-3 2.621532+1 6.606934-3 1.423481+1 7.762471-3 7.673069+0 9.332543-3 3.756296+0 1.122018-2 1.824395+0 1.380384-2 8.030777-1 1.737801-2 3.201467-1 2.398833-2 8.750435-2 3.801894-2 1.357333-2 5.888437-2 2.303210-3 7.498942-2 8.697860-4 9.332543-2 3.629050-4 1.096478-1 1.918679-4 1.273503-1 1.068977-4 1.462177-1 6.269681-5 1.659587-1 3.871918-5 1.862087-1 2.515600-5 2.089296-1 1.646310-5 2.317395-1 1.132141-5 2.570396-1 7.844604-6 2.818383-1 5.701970-6 3.090295-1 4.173694-6 3.388442-1 3.077435-6 3.715352-1 2.285901-6 4.027170-1 1.773736-6 4.365158-1 1.385763-6 4.695800-1 1.115100-6 5.069907-1 8.948914-7 5.495409-1 7.152049-7 5.956621-1 5.756161-7 6.456542-1 4.661406-7 6.998420-1 3.800585-7 7.585776-1 3.120355-7 8.222427-1 2.580109-7 8.912509-1 2.149324-7 9.660509-1 1.804213-7 1.047129+0 1.526706-7 1.148154+0 1.270143-7 1.258925+0 1.064174-7 1.380384+0 8.985474-8 1.513561+0 7.640220-8 1.678804+0 6.418550-8 1.883649+0 5.330553-8 2.137962+0 4.378007-8 2.398833+0 3.687879-8 2.722701+0 3.076575-8 3.198895+0 2.464566-8 3.715352+0 2.020435-8 4.365158+0 1.643315-8 5.248075+0 1.308009-8 6.382635+0 1.034263-8 8.000000+0 7.952300-9 1.035142+1 5.944097-9 1.348963+1 4.441033-9 1.819701+1 3.216018-9 2.570396+1 2.232454-9 4.168694+1 1.351725-9 7.585776+1 7.32797-10 1.513561+2 3.64335-10 3.019952+2 1.81796-10 2.398833+3 2.28076-11 1.000000+5 5.46770-13 1 12000 7 0 2.431200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 5.624000-5 1.376100-5 1.000000+5 1.376100-5 1 12000 7 7 2.431200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.624000-5 1.360900-7 1.000000+5 1.360900-7 1 12000 7 9 2.431200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.624000-5 4.234291-5 1.000000+5 1.000000+5 1 12000 7 0 2.431200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 6.890000-6 7.093072+5 6.940000-6 6.612740+5 7.079458-6 5.479266+5 7.200000-6 4.635200+5 7.328245-6 3.858297+5 7.420000-6 3.369380+5 7.520000-6 2.896340+5 7.600000-6 2.556080+5 7.700000-6 2.175860+5 7.770000-6 1.937160+5 7.852356-6 1.682140+5 7.943282-6 1.430599+5 8.020000-6 1.240864+5 8.100000-6 1.063274+5 8.150000-6 9.620420+4 8.222426-6 8.278211+4 8.290000-6 7.149440+4 8.350000-6 6.240680+4 8.400000-6 5.545980+4 8.460000-6 4.783440+4 8.511380-6 4.188758+4 8.550000-6 3.775340+4 8.600000-6 3.280840+4 8.635000-6 2.960920+4 8.680000-6 2.579820+4 8.720000-6 2.268440+4 8.755000-6 2.016240+4 8.790000-6 1.782340+4 8.820000-6 1.595730+4 8.850000-6 1.421666+4 8.880000-6 1.259600+4 8.912509-6 1.097203+4 8.940000-6 9.702040+3 8.970000-6 8.421180+3 8.990000-6 7.626040+3 9.015711-6 6.671636+3 9.035000-6 6.004340+3 9.055000-6 5.355300+3 9.077000-6 4.690940+3 9.092000-6 4.267080+3 9.110000-6 3.788960+3 9.128000-6 3.343460+3 9.142000-6 3.019140+3 9.155000-6 2.735100+3 9.170000-6 2.427460+3 9.185000-6 2.141020+3 9.200000-6 1.875458+3 9.215000-6 1.630418+3 9.225714-6 1.467766+3 9.240000-6 1.266688+3 9.250000-6 1.136534+3 9.260000-6 1.014996+3 9.270000-6 9.019740+2 9.280000-6 7.973880+2 9.291000-6 6.919600+2 9.302000-6 5.964880+2 9.310000-6 5.332340+2 9.320000-6 4.614040+2 9.335000-6 3.685600+2 9.353000-6 2.803600+2 9.361000-6 2.491620+2 9.368000-6 2.258520+2 9.374000-6 2.088100+2 9.380000-6 1.944636+2 9.385000-6 1.845510+2 9.390000-6 1.764854+2 9.393500-6 1.719330+2 9.397000-6 1.682766+2 9.401000-6 1.651936+2 9.405000-6 1.632650+2 9.409000-6 1.624942+2 9.413000-6 1.628730+2 9.417000-6 1.643962+2 9.421500-6 1.674710+2 9.426000-6 1.719798+2 9.430000-6 1.771842+2 9.435000-6 1.852684+2 9.440000-6 1.950956+2 9.445000-6 2.066560+2 9.452000-6 2.257300+2 9.460000-6 2.516260+2 9.470000-6 2.900880+2 9.490000-6 3.870260+2 9.502000-6 4.577700+2 9.510000-6 5.100980+2 9.520000-6 5.812440+2 9.531000-6 6.667900+2 9.542000-6 7.598700+2 9.555000-6 8.794980+2 9.565000-6 9.784680+2 9.577000-6 1.105100+3 9.589000-6 1.240232+3 9.600000-6 1.371454+3 9.615000-6 1.561570+3 9.627000-6 1.722788+3 9.642000-6 1.935606+3 9.655000-6 2.129920+3 9.670000-6 2.365380+3 9.685000-6 2.612720+3 9.700000-6 2.871660+3 9.715000-6 3.142040+3 9.730000-6 3.423740+3 9.750000-6 3.816300+3 9.772372-6 4.278012+3 9.790000-6 4.658200+3 9.810000-6 5.106720+3 9.830000-6 5.572860+3 9.860000-6 6.304280+3 9.890000-6 7.073040+3 9.920000-6 7.877880+3 9.945000-6 8.574960+3 9.980000-6 9.589720+3 1.001000-5 1.049420+4 1.005000-5 1.174766+4 1.008500-5 1.288690+4 1.012000-5 1.406368+4 1.017000-5 1.580676+4 1.021500-5 1.743366+4 1.027000-5 1.949232+4 1.033000-5 2.181860+4 1.039000-5 2.422260+4 1.044000-5 2.627920+4 1.050000-5 2.880680+4 1.057000-5 3.182820+4 1.065000-5 3.536620+4 1.073000-5 3.898420+4 1.081000-5 4.266740+4 1.088000-5 4.593600+4 1.096478-5 4.994351+4 1.106700-5 5.482818+4 1.115000-5 5.882720+4 1.127000-5 6.464120+4 1.138000-5 6.998600+4 1.150000-5 7.581420+4 1.165000-5 8.306880+4 1.180000-5 9.026080+4 1.195000-5 9.736420+4 1.207000-5 1.029684+5 1.222000-5 1.098606+5 1.240000-5 1.179452+5 1.260000-5 1.266672+5 1.280000-5 1.350942+5 1.303167-5 1.444678+5 1.330000-5 1.547878+5 1.357000-5 1.645806+5 1.390000-5 1.757438+5 1.420000-5 1.851334+5 1.450000-5 1.938188+5 1.480000-5 2.018240+5 1.515000-5 2.103400+5 1.550000-5 2.180200+5 1.590000-5 2.258400+5 1.640590-5 2.343940+5 1.698244-5 2.425105+5 1.767000-5 2.502066+5 1.840772-5 2.564006+5 1.920000-5 2.610500+5 2.000000-5 2.640260+5 2.089296-5 2.656787+5 2.190000-5 2.658860+5 2.317395-5 2.642638+5 2.454709-5 2.608001+5 2.630268-5 2.546604+5 2.818383-5 2.468641+5 3.019952-5 2.378011+5 3.273407-5 2.260256+5 3.548134-5 2.134099+5 3.890451-5 1.983539+5 4.265795-5 1.830435+5 4.677351-5 1.676969+5 5.150000-5 1.518818+5 5.688529-5 1.360050+5 6.237348-5 1.218924+5 6.839116-5 1.085050+5 7.585776-5 9.448588+4 8.511380-5 8.037733+4 9.800000-5 6.537720+4 1.174898-4 4.967017+4 1.445440-4 3.600975+4 1.883649-4 2.365628+4 2.290868-4 1.725615+4 2.630268-4 1.372075+4 2.951209-4 1.126268+4 3.273407-4 9.352615+3 3.715352-4 7.396530+3 4.265795-4 5.682094+3 5.069907-4 4.050593+3 5.888437-4 3.004192+3 6.683439-4 2.315861+3 7.585776-4 1.772385+3 8.912509-4 1.250467+3 1.035142-3 8.987252+2 1.188502-3 6.570842+2 1.348963-3 4.900593+2 1.548817-3 3.531399+2 1.778279-3 2.526706+2 2.065380-3 1.744791+2 2.398833-3 1.195910+2 2.786121-3 8.137763+1 3.273407-3 5.334974+1 3.845918-3 3.470940+1 4.518559-3 2.241341+1 5.308844-3 1.436876+1 6.309573-3 8.854277+0 7.498942-3 5.413500+0 8.912509-3 3.284638+0 1.059254-2 1.978533+0 1.273503-2 1.143531+0 1.548817-2 6.336911-1 1.905461-2 3.365084-1 2.371374-2 1.711317-1 2.985383-2 8.331517-2 3.845918-2 3.741540-2 5.128614-2 1.493978-2 6.531306-2 6.869238-3 1.230269-1 8.890353-4 1.659587-1 3.406279-4 2.000000-1 1.886000-4 2.344229-1 1.147661-4 2.691535-1 7.502213-5 3.054921-1 5.117154-5 3.427678-1 3.638598-5 3.801894-1 2.694832-5 4.216965-1 2.010205-5 4.677351-1 1.511306-5 5.128614-1 1.181084-5 5.623413-1 9.295624-6 6.095369-1 7.585139-6 6.683439-1 6.058383-6 7.244360-1 5.009636-6 7.852356-1 4.168196-6 8.511380-1 3.491179-6 9.332543-1 2.872318-6 1.023293+0 2.380641-6 1.148154+0 1.893194-6 1.258925+0 1.585543-6 1.380384+0 1.337046-6 1.513561+0 1.135206-6 1.659587+0 9.717882-7 1.862087+0 8.066102-7 2.113489+0 6.620610-7 2.371374+0 5.573005-7 2.691535+0 4.646155-7 3.126079+0 3.778310-7 3.630781+0 3.094048-7 4.265795+0 2.513930-7 5.128614+0 1.999051-7 6.237348+0 1.579329-7 7.762471+0 1.223321-7 1.000000+1 9.180000-8 1.303167+1 6.851999-8 1.778279+1 4.897426-8 2.540973+1 3.357510-8 4.120975+1 2.032517-8 7.585776+1 1.088875-8 1.513561+2 5.413790-9 3.019952+2 2.701455-9 2.398833+3 3.38907-10 1.000000+5 8.12470-12 1 12000 7 0 2.431200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 6.890000-6 6.890000-6 1.000000+5 6.890000-6 1 12000 7 9 2.431200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.890000-6 0.0 1.000000+5 1.000000+5 1 12000 7 0 2.431200+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 5.503950-9 1.028750+0 5.503950-8 1.036640+0 5.503950-7 1.041500+0 1.283940-6 1.043800+0 1.782160-6 1.046400+0 2.479540-6 1.048300+0 3.087090-6 1.051200+0 4.187570-6 1.054080+0 5.503950-6 1.057700+0 7.502200-6 1.061100+0 9.758410-6 1.065100+0 1.291890-5 1.070400+0 1.802310-5 1.076200+0 2.490760-5 1.080600+0 3.110550-5 1.087100+0 4.190980-5 1.093710+0 5.503950-5 1.102600+0 7.631690-5 1.110700+0 9.954110-5 1.120600+0 1.331720-4 1.133300+0 1.851860-4 1.147500+0 2.557230-4 1.158200+0 3.178110-4 1.174100+0 4.246910-4 1.190110+0 5.503950-4 1.205100+0 6.847100-4 1.227500+0 9.159450-4 1.250000+0 1.185000-3 1.281300+0 1.620300-3 1.308600+0 2.057210-3 1.332500+0 2.482510-3 1.374400+0 3.321290-3 1.405800+0 4.024530-3 1.452900+0 5.192350-3 1.500000+0 6.487000-3 1.562500+0 8.382810-3 1.617200+0 1.019150-2 1.712900+0 1.365130-2 1.784700+0 1.645760-2 1.892300+0 2.093920-2 2.000000+0 2.569000-2 2.044000+0 2.769000-2 2.163500+0 3.323160-2 2.372600+0 4.316100-2 2.647100+0 5.633420-2 3.000000+0 7.314000-2 3.437500+0 9.348800-2 4.000000+0 1.184000-1 4.750000+0 1.489650-1 5.000000+0 1.586000-1 6.000000+0 1.947000-1 7.000000+0 2.268000-1 8.000000+0 2.557000-1 9.000000+0 2.819000-1 1.000000+1 3.057000-1 1.100000+1 3.273000-1 1.200000+1 3.471000-1 1.300000+1 3.655000-1 1.400000+1 3.826000-1 1.500000+1 3.986000-1 1.600000+1 4.136000-1 1.800000+1 4.411000-1 2.000000+1 4.657000-1 2.200000+1 4.880000-1 2.400000+1 5.083000-1 2.600000+1 5.268000-1 2.800000+1 5.440000-1 3.000000+1 5.598000-1 4.000000+1 6.251000-1 5.000000+1 6.740000-1 6.000000+1 7.128000-1 8.000000+1 7.712000-1 1.000000+2 8.130000-1 1.500000+2 8.803000-1 2.000000+2 9.211000-1 3.000000+2 9.694000-1 4.000000+2 9.975000-1 5.000000+2 1.016000+0 6.000000+2 1.030000+0 8.000000+2 1.048000+0 1.000000+3 1.059000+0 1.500000+3 1.077000+0 2.000000+3 1.086000+0 3.000000+3 1.096000+0 4.000000+3 1.102000+0 5.000000+3 1.105000+0 6.000000+3 1.107000+0 8.000000+3 1.111000+0 1.000000+4 1.113000+0 1.500000+4 1.115000+0 2.000000+4 1.117000+0 3.000000+4 1.118000+0 4.000000+4 1.119000+0 5.000000+4 1.120000+0 6.000000+4 1.120000+0 8.000000+4 1.120000+0 1.000000+5 1.121000+0 1 12000 7 8 2.431200+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 12000 7 9 2.431200+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 12000 7 0 2.431200+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 1.205080-7 2.136250+0 1.205080-6 2.147000+0 1.652250-6 2.156900+0 2.146070-6 2.169000+0 2.864070-6 2.184500+0 3.981150-6 2.201800+0 5.508040-6 2.214800+0 6.862580-6 2.234200+0 9.231390-6 2.253680+0 1.205080-5 2.281500+0 1.687930-5 2.307000+0 2.217090-5 2.338200+0 2.981070-5 2.377400+0 4.128430-5 2.410200+0 5.250680-5 2.446800+0 6.679170-5 2.485900+0 8.409430-5 2.532900+0 1.076220-4 2.556430+0 1.205080-4 2.611900+0 1.536600-4 2.660400+0 1.857660-4 2.745300+0 2.486320-4 2.809000+0 3.011060-4 2.904500+0 3.878930-4 3.000000+0 4.842000-4 3.125000+0 6.243940-4 3.234400+0 7.598010-4 3.425800+0 1.023330-3 3.569300+0 1.241040-3 3.784700+0 1.595670-3 4.000000+0 1.977000-3 4.250000+0 2.443310-3 4.625000+0 3.176420-3 5.000000+0 3.939000-3 5.500000+0 4.986740-3 6.000000+0 6.050000-3 6.750000+0 7.635040-3 7.000000+0 8.157000-3 8.000000+0 1.020000-2 9.000000+0 1.216000-2 1.000000+1 1.403000-2 1.100000+1 1.580000-2 1.200000+1 1.748000-2 1.300000+1 1.906000-2 1.400000+1 2.057000-2 1.500000+1 2.200000-2 1.600000+1 2.337000-2 1.800000+1 2.591000-2 2.000000+1 2.823000-2 2.200000+1 3.037000-2 2.400000+1 3.234000-2 2.600000+1 3.417000-2 2.800000+1 3.588000-2 3.000000+1 3.747000-2 4.000000+1 4.416000-2 5.000000+1 4.934000-2 6.000000+1 5.352000-2 8.000000+1 5.995000-2 1.000000+2 6.473000-2 1.500000+2 7.284000-2 2.000000+2 7.806000-2 3.000000+2 8.461000-2 4.000000+2 8.866000-2 5.000000+2 9.148000-2 6.000000+2 9.357000-2 8.000000+2 9.652000-2 1.000000+3 9.851000-2 1.500000+3 1.015000-1 2.000000+3 1.033000-1 3.000000+3 1.052000-1 4.000000+3 1.064000-1 5.000000+3 1.071000-1 6.000000+3 1.076000-1 8.000000+3 1.083000-1 1.000000+4 1.087000-1 1.500000+4 1.093000-1 2.000000+4 1.096000-1 3.000000+4 1.099000-1 4.000000+4 1.102000-1 5.000000+4 1.103000-1 6.000000+4 1.104000-1 8.000000+4 1.105000-1 1.000000+5 1.105000-1 1 12000 7 8 2.431200+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 12000 7 9 2.431200+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 12000 7 0 2.431200+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 1.200000+1 1.000000+5 1.200000+1 5.000000+5 1.199100+1 1.000000+6 1.197500+1 1.375000+6 1.195750+1 1.500000+6 1.195100+1 1.875000+6 1.192360+1 2.000000+6 1.191400+1 2.375000+6 1.187900+1 2.500000+6 1.186700+1 2.875000+6 1.182520+1 3.000000+6 1.181100+1 3.500000+6 1.174570+1 4.000000+6 1.167300+1 4.500000+6 1.159130+1 5.000000+6 1.150500+1 5.500000+6 1.141110+1 5.875000+6 1.133840+1 6.000000+6 1.131440+1 6.437500+6 1.122680+1 7.000000+6 1.111400+1 7.500000+6 1.101190+1 8.000000+6 1.090670+1 8.156200+6 1.087330+1 8.718700+6 1.074900+1 9.000000+6 1.068500+1 9.750000+6 1.050990+1 1.000000+7 1.045400+1 1.062500+7 1.032330+1 1.156300+7 1.014030+1 1.187500+7 1.008030+1 1.250000+7 9.957100+0 1.375000+7 9.702560+0 1.500000+7 9.472300+0 1.750000+7 9.094800+0 2.000000+7 8.713300+0 2.250000+7 8.385030+0 2.375000+7 8.230100+0 2.500000+7 8.074600+0 2.750000+7 7.753140+0 3.000000+7 7.430700+0 3.250000+7 7.113380+0 3.437500+7 6.879420+0 3.718800+7 6.531540+0 3.750000+7 6.492800+0 4.000000+7 6.187900+0 4.343800+7 5.775160+0 4.500000+7 5.592260+0 4.578100+7 5.502260+0 4.859400+7 5.184580+0 5.000000+7 5.031500+0 5.250000+7 4.767110+0 5.500000+7 4.515130+0 5.625000+7 4.394260+0 6.000000+7 4.051900+0 6.500000+7 3.642140+0 7.000000+7 3.286400+0 7.750000+7 2.845360+0 8.000000+7 2.720300+0 8.750000+7 2.402800+0 9.000000+7 2.313200+0 9.750000+7 2.085730+0 1.000000+8 2.021300+0 1.062500+8 1.881430+0 1.109400+8 1.793110+0 1.125000+8 1.766710+0 1.179700+8 1.683360+0 1.250000+8 1.595800+0 1.312500+8 1.533210+0 1.406300+8 1.456970+0 1.500000+8 1.393300+0 1.718800+8 1.266130+0 1.859400+8 1.191070+0 2.000000+8 1.117800+0 2.125000+8 1.053720+0 2.500000+8 8.884000-1 2.671900+8 8.279080-1 2.789100+8 7.869590-1 2.894500+8 7.479150-1 2.973600+8 7.167710-1 3.000000+8 7.060000-1 3.062500+8 6.798100-1 3.171900+8 6.340030-1 3.377000+8 5.586830-1 3.459000+8 5.343280-1 3.500000+8 5.236000-1 3.562500+8 5.090820-1 3.835900+8 4.577100-1 3.945300+8 4.373460-1 4.000000+8 4.265000-1 4.091800+8 4.070360-1 4.176000+8 3.883560-1 4.279000+8 3.652110-1 4.411200+8 3.360800-1 4.495300+8 3.183630-1 5.000000+8 2.324000-1 5.250000+8 2.031130-1 5.625000+8 1.685000-1 5.812500+8 1.535350-1 6.000000+8 1.395000-1 6.562500+8 1.041840-1 6.718800+8 9.699550-2 6.859400+8 9.156730-2 7.000000+8 8.710000-2 7.125000+8 8.388280-2 7.343800+8 7.934320-2 7.671900+8 7.345750-2 7.835900+8 7.038860-2 7.959000+8 6.788050-2 8.000000+8 6.700000-2 8.125000+8 6.416240-2 8.242200+8 6.136510-2 8.403500+8 5.740530-2 8.551600+8 5.376080-2 8.732700+8 4.940360-2 8.965000+8 4.413240-2 1.000000+9 2.680000-2 1.031300+9 2.346270-2 1.060500+9 2.091340-2 1.100900+9 1.806170-2 1.137900+9 1.595980-2 1.183200+9 1.387120-2 1.241300+9 1.178810-2 1.444600+9 7.046660-3 1.500000+9 6.202100-3 1.562500+9 5.361030-3 1.617200+9 4.725370-3 1.712900+9 3.805290-3 1.856400+9 2.787770-3 2.000000+9 2.081600-3 2.375000+9 1.063140-3 3.031300+9 4.123010-4 5.000000+9 5.940900-5 8.000000+9 9.582200-6 1.00000+10 4.054100-6 1.20500+10 1.988480-6 1.41820+10 1.072740-6 1.71110+10 5.299150-7 2.01380+10 2.888440-7 2.41190+10 1.483330-7 2.88610+10 7.687230-8 3.54590+10 3.642460-8 4.35270+10 1.744410-8 5.36740+10 8.281890-9 6.21670+10 4.936080-9 7.56790+10 2.483120-9 9.39200+10 1.177000-9 1.00000+11 9.48970-10 1.17140+11 5.53031-10 1.47470+11 2.53897-10 1.82930+11 1.23492-10 2.31360+11 5.67634-11 3.10280+11 2.17385-11 4.35820+11 7.26551-12 5.93370+11 2.72054-12 9.79510+11 5.65272-13 1.51300+12 1.47849-13 2.91350+12 2.02463-14 7.05210+12 1.45555-15 1.00000+14 6.27460-19 5.62340+14 3.85449-21 5.42470+15 4.38702-24 1.00000+17 6.61270-28 1 12000 7 0 2.431200+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 4.00000-12 1.000000+2 4.00000-10 1.000000+3 4.000000-8 1.000000+4 4.000000-6 1.000000+5 4.000000-4 5.000000+5 1.000000-2 1.000000+6 4.000000-2 1.375000+6 7.551990-2 1.500000+6 8.970000-2 1.875000+6 1.387330-1 2.000000+6 1.572000-1 2.375000+6 2.186780-1 2.500000+6 2.411000-1 2.875000+6 3.135090-1 3.000000+6 3.393000-1 3.500000+6 4.497600-1 4.000000+6 5.702000-1 4.500000+6 6.980060-1 5.000000+6 8.310000-1 5.500000+6 9.668270-1 5.875000+6 1.069280+0 6.000000+6 1.103410+0 6.437500+6 1.222190+0 7.000000+6 1.372100+0 7.500000+6 1.501100+0 8.000000+6 1.625430+0 8.156200+6 1.663220+0 8.718700+6 1.794720+0 9.000000+6 1.857800+0 9.750000+6 2.016060+0 1.000000+7 2.066000+0 1.062500+7 2.183820+0 1.156300+7 2.345450+0 1.187500+7 2.395440+0 1.250000+7 2.491300+0 1.375000+7 2.667130+0 1.500000+7 2.829000+0 1.750000+7 3.135400+0 2.000000+7 3.444000+0 2.250000+7 3.764840+0 2.375000+7 3.929470+0 2.500000+7 4.095700+0 2.750000+7 4.433080+0 3.000000+7 4.771000+0 3.250000+7 5.105430+0 3.437500+7 5.352380+0 3.718800+7 5.714330+0 3.750000+7 5.753890+0 4.000000+7 6.064000+0 4.343800+7 6.470830+0 4.500000+7 6.648100+0 4.578100+7 6.734240+0 4.859400+7 7.036290+0 5.000000+7 7.181000+0 5.250000+7 7.426950+0 5.500000+7 7.660280+0 5.625000+7 7.771210+0 6.000000+7 8.086000+0 6.500000+7 8.459490+0 7.000000+7 8.784000+0 7.750000+7 9.188210+0 8.000000+7 9.304000+0 8.750000+7 9.603060+0 9.000000+7 9.689000+0 9.750000+7 9.910610+0 1.000000+8 9.975000+0 1.062500+8 1.011810+1 1.109400+8 1.021280+1 1.125000+8 1.024280+1 1.179700+8 1.033840+1 1.250000+8 1.044900+1 1.312500+8 1.053740+1 1.406300+8 1.065730+1 1.500000+8 1.076600+1 1.718800+8 1.098910+1 1.859400+8 1.111500+1 2.000000+8 1.122900+1 2.125000+8 1.131940+1 2.500000+8 1.154300+1 2.671900+8 1.162150+1 2.789100+8 1.166670+1 2.894500+8 1.170440+1 2.973600+8 1.172970+1 3.000000+8 1.173800+1 3.062500+8 1.175550+1 3.171900+8 1.178390+1 3.377000+8 1.182900+1 3.459000+8 1.184440+1 3.500000+8 1.185200+1 3.562500+8 1.186140+1 3.835900+8 1.189820+1 3.945300+8 1.191020+1 4.000000+8 1.191600+1 4.091800+8 1.192370+1 4.176000+8 1.193060+1 4.279000+8 1.193820+1 4.411200+8 1.194600+1 4.495300+8 1.195080+1 5.000000+8 1.197200+1 5.250000+8 1.197790+1 5.625000+8 1.198510+1 5.812500+8 1.198760+1 6.000000+8 1.199000+1 6.562500+8 1.199350+1 6.718800+8 1.199440+1 6.859400+8 1.199520+1 7.000000+8 1.199600+1 7.125000+8 1.199630+1 7.343800+8 1.199670+1 7.671900+8 1.199740+1 7.835900+8 1.199770+1 7.959000+8 1.199790+1 8.000000+8 1.199800+1 8.125000+8 1.199810+1 8.242200+8 1.199830+1 8.403500+8 1.199840+1 8.551600+8 1.199860+1 8.732700+8 1.199880+1 8.965000+8 1.199900+1 1.000000+9 1.200000+1 1.031300+9 1.200000+1 1.060500+9 1.200000+1 1.100900+9 1.200000+1 1.137900+9 1.200000+1 1.183200+9 1.200000+1 1.241300+9 1.200000+1 1.444600+9 1.200000+1 1.500000+9 1.200000+1 1.562500+9 1.200000+1 1.617200+9 1.200000+1 1.712900+9 1.200000+1 1.856400+9 1.200000+1 2.000000+9 1.200000+1 2.375000+9 1.200000+1 3.031300+9 1.200000+1 5.000000+9 1.200000+1 8.000000+9 1.200000+1 1.00000+10 1.200000+1 1.20500+10 1.200000+1 1.41820+10 1.200000+1 1.71110+10 1.200000+1 2.01380+10 1.200000+1 2.41190+10 1.200000+1 2.88610+10 1.200000+1 3.54590+10 1.200000+1 4.35270+10 1.200000+1 5.36740+10 1.200000+1 6.21670+10 1.200000+1 7.56790+10 1.200000+1 9.39200+10 1.200000+1 1.00000+11 1.200000+1 1.17140+11 1.200000+1 1.47470+11 1.200000+1 1.82930+11 1.200000+1 2.31360+11 1.200000+1 3.10280+11 1.200000+1 4.35820+11 1.200000+1 5.93370+11 1.200000+1 9.79510+11 1.200000+1 1.51300+12 1.200000+1 2.91350+12 1.200000+1 7.05210+12 1.200000+1 1.00000+14 1.200000+1 5.62340+14 1.200000+1 5.42470+15 1.200000+1 1.00000+17 1.200000+1 1 12000 7 0 2.431200+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.013910-6 0.0 3.250874-6 0.0 3.256720-6 1.280092+0 3.266877-6 7.896540+0 3.272752-6 1.252075+1 3.274879-6 1.480515+1 3.280768-6 2.222501+1 3.282880-6 2.566525+1 3.288784-6 3.646626+1 3.297930-6 5.845215+1 3.314887-6 1.059166+2 3.323623-6 1.250903+2 3.331787-6 1.345792+2 3.339796-6 1.337423+2 3.347628-6 1.233590+2 3.357272-6 1.004973+2 3.373929-6 5.442009+1 3.376960-6 4.657825+1 3.384976-6 2.964799+1 3.391469-6 1.969004+1 3.392992-6 1.743487+1 3.394903-6 1.532448+1 3.401008-6 9.471862+0 3.410906-6 2.807030+0 3.417040-6 0.0 4.496290-6 0.0 4.507357-6 9.92200-16 4.518424-6 1.96329-15 4.529491-6 3.58611-15 4.540558-6 6.04667-15 4.551625-6 9.41160-15 4.562692-6 1.35227-14 4.573759-6 1.79357-14 4.584826-6 2.19597-14 4.595893-6 2.48193-14 4.606960-6 2.58944-14 4.618027-6 2.49388-14 4.629094-6 2.21718-14 4.640161-6 1.81961-14 4.662295-6 9.64044-15 4.673362-6 6.22353-15 4.684429-6 3.70878-15 4.695496-6 2.04023-15 4.706563-6 1.03605-15 4.717630-6 0.0 5.210305-6 0.0 5.211984-6 5.414106-3 5.235954-6 2.391501-1 5.237641-6 2.590061-1 5.250470-6 4.703726-1 5.264100-6 8.158430-1 5.277833-6 1.292193+0 5.313810-6 2.777481+0 5.328243-6 3.175745+0 5.341072-6 3.285337+0 5.353099-6 3.161685+0 5.368359-6 2.702820+0 5.404413-6 1.208915+0 5.417242-6 7.786658-1 5.430070-6 4.630527-1 5.441146-6 2.795181-1 5.442899-6 2.542313-1 5.462631-6 5.511570-2 5.466795-6 1.222010-2 5.468556-6 1.592690-5 5.488361-6 1.000309-8 5.488381-6 0.0 5.877581-6 0.0 5.878264-6 3.626414-4 5.907201-6 4.738104-2 5.921670-6 8.636273-2 5.936138-6 1.453341-1 5.950607-6 2.257998-1 5.993316-6 5.201839-1 6.008481-6 5.918525-1 6.022950-6 6.167149-1 6.037419-6 5.932645-1 6.051887-6 5.268689-1 6.095293-6 2.284448-1 6.109762-6 1.473574-1 6.124230-6 8.774894-2 6.138699-6 4.823795-2 6.157428-6 1.703582-2 6.166919-6 8.279502-4 6.167636-6 1.112904-6 6.171896-6 1.609570-9 6.171906-6 5.67292-12 6.180948-6 0.0 6.183237-6 0.0 6.183589-6 6.164292-5 6.214029-6 1.643582-2 6.229249-6 2.999030-2 6.244469-6 5.051921-2 6.259689-6 7.856270-2 6.274910-6 1.127867-1 6.290130-6 1.494788-1 6.305350-6 1.828853-1 6.320570-6 2.065639-1 6.335790-6 2.153796-1 6.351010-6 2.079255-1 6.366230-6 1.885801-1 6.396670-6 1.291678-1 6.411891-6 1.042601-1 6.427111-6 8.874183-2 6.442355-6 8.348220-2 6.457981-6 8.799274-2 6.473607-6 9.713283-2 6.489234-6 1.030858-1 6.504860-6 1.117636-1 6.520486-6 1.150636-1 6.536113-6 1.135847-1 6.588276-6 9.875917-2 6.747286-6 8.281519-2 6.856467-6 6.695455-2 6.913246-6 6.272536-2 7.017976-6 5.920632-2 7.297685-6 4.221211-2 7.527384-6 3.093784-2 7.734921-6 2.282293-2 7.920452-6 1.697485-2 8.094312-6 1.252752-2 8.256161-6 9.163484-3 8.414960-6 6.501218-3 8.541742-6 4.776557-3 8.657471-6 3.480347-3 8.759358-6 2.539286-3 8.834987-6 1.952826-3 8.926244-6 1.363372-3 9.002846-6 9.619357-4 9.065993-6 6.911373-4 9.118996-6 5.036097-4 9.162497-6 3.756429-4 9.207497-6 2.669369-4 9.244999-6 1.941020-4 9.274999-6 1.471021-4 9.296499-6 1.194279-4 9.323748-6 9.140709-5 9.345402-6 7.465289-5 9.366250-6 6.304722-5 9.387500-6 5.570453-5 9.405000-6 5.300304-5 9.423750-6 5.340801-5 9.445000-6 5.792725-5 9.464999-6 6.605513-5 9.487185-6 7.939102-5 9.514999-6 1.024009-4 9.543998-6 1.336823-4 9.576998-6 1.781063-4 9.611622-6 2.345461-4 9.651748-6 3.121662-4 9.701872-6 4.269013-4 9.766774-6 6.035161-4 9.844989-6 8.561505-4 9.933115-6 1.189552-3 1.005811-5 1.743726-3 1.022435-5 2.612588-3 1.046996-5 4.131328-3 1.084612-5 6.881715-3 1.110842-5 9.026342-3 1.207000-5 1.775900-2 1.405000-5 3.624832-2 1.570000-5 4.982290-2 1.767000-5 6.318244-2 2.000000-5 7.547796-2 2.317395-5 8.754441-2 2.818383-5 9.948022-2 3.833814-5 1.098359-1 5.114618-5 1.117929-1 5.265916-5 1.117667-1 5.291839-5 1.628449-1 5.297128-5 1.800457-1 5.304800-5 2.125341-1 5.318549-5 2.951034-1 5.331204-5 3.985277-1 5.339378-5 4.815788-1 5.383799-5 1.025904+0 5.397018-5 1.144641+0 5.417980-5 1.230378+0 5.441498-5 1.226357+0 5.477393-5 1.175958+0 5.525952-5 1.259506+0 5.677710-5 1.736708+0 5.956621-5 2.782077+0 6.456542-5 4.706787+0 6.800000-5 5.797223+0 7.161434-5 6.663486+0 7.725525-5 7.549866+0 8.416354-5 8.248840+0 8.491187-5 8.772951+0 8.574805-5 9.674547+0 8.621276-5 9.658498+0 8.718875-5 8.956908+0 9.198835-5 9.258831+0 1.034775-4 9.346331+0 1.242770-4 8.665465+0 1.712971-4 6.548894+0 2.134888-4 5.136207+0 2.490290-4 4.252168+0 2.899638-4 3.490206+0 3.419297-4 2.784182+0 3.871601-4 2.332187+0 4.377740-4 1.949145+0 5.018188-4 1.588322+0 5.811313-4 1.268709+0 6.586835-4 1.043285+0 7.472515-4 8.539297-1 8.514051-4 6.918191-1 9.624949-4 5.659421-1 1.079928-3 4.673946-1 1.230344-3 3.754338-1 1.259948-3 3.629762-1 1.262896-3 3.867499-1 1.266248-3 4.297317-1 1.269524-3 5.018293-1 1.272368-3 6.047367-1 1.275645-3 7.891211-1 1.278524-3 1.021524+0 1.281685-3 1.341701+0 1.286408-3 1.949019+0 1.294500-3 3.063836+0 1.300185-3 3.636315+0 1.305959-3 3.971906+0 1.315032-3 4.134389+0 1.372461-3 3.984414+0 1.544022-3 3.314182+0 1.770619-3 2.692065+0 1.998113-3 2.231926+0 2.294897-3 1.785992+0 2.598814-3 1.453622+0 2.954649-3 1.168150+0 3.341698-3 9.431247-1 3.722329-3 7.783451-1 4.170252-3 6.337188-1 4.744750-3 4.999947-1 5.301210-3 4.066104-1 5.876197-3 3.342686-1 6.549577-3 2.717288-1 7.146549-3 2.293975-1 7.938818-3 1.867866-1 8.709636-3 1.554741-1 9.640110-3 1.269776-1 1.079072-2 1.011510-1 1.196940-2 8.189608-2 1.339173-2 6.503338-2 1.469026-2 5.369928-2 1.626989-2 4.336722-2 1.785938-2 3.568855-2 1.945498-2 2.976704-2 2.159015-2 2.385649-2 2.378990-2 1.938936-2 2.650350-2 1.536856-2 2.855041-2 1.308634-2 3.099857-2 1.093987-2 3.427624-2 8.782645-3 3.775338-2 7.110770-3 4.200527-2 5.615443-3 4.618786-2 4.551298-3 5.128614-2 3.609357-3 5.566174-2 3.005755-3 6.080969-2 2.466379-3 6.665478-2 2.009824-3 7.407175-2 1.587028-3 8.044541-2 1.319826-3 8.783946-2 1.083584-3 9.522478-2 9.039744-4 1.032111-1 7.542792-4 1.125031-1 6.214079-4 1.217864-1 5.203116-4 1.327096-1 4.299633-4 1.449741-1 3.534743-4 1.581653-1 2.916734-4 1.751611-1 2.333788-4 1.907982-1 1.937786-4 2.068669-1 1.628253-4 2.290868-1 1.309433-4 2.513138-1 1.077950-4 2.724171-1 9.132551-5 2.968530-1 7.669880-5 3.273407-1 6.313459-5 3.612864-1 5.217291-5 4.007297-1 4.299818-5 4.442561-1 3.574862-5 4.897788-1 3.024811-5 5.432503-1 2.554451-5 6.123944-1 2.124065-5 6.998420-1 1.755092-5 8.012167-1 1.475017-5 9.225714-1 1.249910-5 1.070165+0 1.072048-5 1.286622+0 8.933072-6 1.546860+0 7.443677-6 1.859734+0 6.202607-6 2.235892+0 5.168458-6 2.688134+0 4.306730-6 3.231848+0 3.588677-6 3.885536+0 2.990344-6 4.671441+0 2.491769-6 5.616308+0 2.076321-6 6.752287+0 1.730140-6 8.118035+0 1.441677-6 9.760024+0 1.201309-6 1.000000+1 2.337520-6 1 12000 7 0 2.431200+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-1.181647+1 1.919736-6-1.108015+1 2.369875-6-1.010773+1 2.629570-6-8.951336+0 2.768928-6-7.881717+0 2.878582-6-6.571844+0 2.944115-6-5.431407+0 2.998112-6-4.150926+0 3.028720-6-3.219434+0 3.055622-6-2.227068+0 3.067825-6-1.708770+0 3.079266-6-1.176251+0 3.089991-6-6.299958-1 3.100046-6-7.055949-2 3.109473-6 5.014290-1 3.118311-6 1.085271+0 3.126596-6 1.680198+0 3.134363-6 2.285380+0 3.148472-6 3.522876+0 3.160872-6 4.789978+0 3.176715-6 6.727432+0 3.189769-6 8.681847+0 3.204090-6 1.134836+1 3.215055-6 1.391202+1 3.226878-6 1.742980+1 3.234799-6 2.043698+1 3.244092-6 2.505546+1 3.249602-6 2.881071+1 3.256720-6 3.567388+1 3.272752-6 5.085424+1 3.282880-6 6.142729+1 3.291539-6 6.800317+1 3.298990-6 6.947545+1 3.305568-6 6.562029+1 3.311938-6 5.722769+1 3.314887-6 5.117166+1 3.320638-6 3.694154+1 3.322888-6 2.981364+1 3.328846-6 1.027804+1 3.330028-6 6.024887+0 3.330674-6 3.417817+0 3.330836-6 2.674017+0 3.330953-6 2.055068+0 3.331077-6 1.480547+0 3.331321-6 4.388659-1 3.331557-6-5.156580-1 3.331787-6-1.409489+0 3.332647-6-4.608476+0 3.334671-6-1.172090+1 3.335198-6-1.047395+1 3.337036-6-4.011731+0 3.337848-6-1.010089+0 3.338109-6-3.838173-3 3.338500-6 1.573066+0 3.338794-6 2.861924+0 3.338954-6 3.695861+0 3.339322-6 5.313526+0 3.340239-6 8.830048+0 3.341799-6 1.423297+1 3.346654-6 3.009420+1 3.348536-6 3.653719+1 3.355395-6 5.415478+1 3.360466-6 6.334617+1 3.367047-6 7.029538+1 3.373929-6 7.209134+1 3.383974-6 6.732631+1 3.401008-6 5.016301+1 3.417040-6 3.483371+1 3.421251-6 3.093938+1 3.429625-6 2.581873+1 3.442076-6 2.056132+1 3.454382-6 1.681245+1 3.470567-6 1.314718+1 3.486531-6 1.041968+1 3.502247-6 8.303397+0 3.517718-6 6.608843+0 3.532948-6 5.219125+0 3.547942-6 4.057614+0 3.562702-6 3.071733+0 3.577289-6 2.220981+0 3.591649-6 1.481891+0 3.605784-6 8.337203-1 3.619698-6 2.606056-1 3.633395-6-2.498049-1 3.646877-6-7.072769-1 3.660149-6-1.119637+0 3.686075-6-1.833277+0 3.723658-6-2.695780+0 3.771193-6-3.570825+0 3.837068-6-4.506807+0 3.916292-6-5.349703+0 4.048256-6-6.337475+0 4.250075-6-7.302160+0 4.618027-6-8.314323+0 5.106381-6-9.334214+0 5.203369-6-9.909335+0 5.280024-6-1.096809+1 5.308393-6-1.054682+1 5.339142-6-9.082743+0 5.365927-6-7.704752+0 5.385380-6-7.178131+0 5.404413-6-7.071787+0 5.488381-6-8.230705+0 5.586025-6-8.703845+0 5.972295-6-9.519042+0 6.082924-6-8.888951+0 6.290130-6-9.368255+0 6.442355-6-9.303714+0 9.744996-6-9.894054+0 3.079550-5-1.074248+1 4.339382-5-1.172163+1 5.034327-5-1.291036+1 5.265916-5-1.383634+1 5.369074-5-1.457236+1 5.477393-5-1.427253+1 5.956621-5-1.506986+1 6.456542-5-1.492876+1 8.207221-5-1.198278+1 8.416354-5-1.209292+1 8.519989-5-1.221756+1 8.595770-5-1.131204+1 8.659536-5-1.061115+1 8.832060-5-1.065297+1 9.838428-5-8.522062+0 1.098838-4-6.742796+0 1.207010-4-5.456709+0 1.310886-4-4.518168+0 1.441286-4-3.661480+0 1.576031-4-3.024244+0 1.712971-4-2.550199+0 1.943064-4-1.981826+0 2.134888-4-1.641527+0 2.330999-4-1.403882+0 2.490290-4-1.264300+0 2.789262-4-1.094145+0 3.148654-4-9.855796-1 3.560762-4-9.395886-1 4.039368-4-9.426076-1 5.018188-4-1.025708+0 7.192419-4-1.330780+0 8.922069-4-1.650860+0 9.983306-4-1.922217+0 1.079928-3-2.216320+0 1.145678-3-2.565909+0 1.198929-3-3.014812+0 1.230344-3-3.444445+0 1.252698-3-3.941158+0 1.266248-3-4.458470+0 1.277485-3-5.203814+0 1.289006-3-6.055909+0 1.296024-3-6.163410+0 1.303163-3-5.803078+0 1.318257-3-4.556144+0 1.329101-3-3.936601+0 1.343152-3-3.412583+0 1.364261-3-2.861791+0 1.388977-3-2.409395+0 1.416595-3-2.038343+0 1.458157-3-1.626071+0 1.501548-3-1.310097+0 1.544022-3-1.068071+0 1.597627-3-8.257180-1 1.658237-3-6.116509-1 1.717232-3-4.471300-1 1.770619-3-3.228033-1 1.820154-3-2.243169-1 1.865440-3-1.475227-1 1.904604-3-9.023059-2 1.949187-3-3.237549-2 1.981063-3 3.952150-3 1.998113-3 2.346440-2 2.058449-3 8.421424-2 2.125819-3 1.422518-1 2.187129-3 1.855562-1 2.294897-3 2.439882-1 2.418998-3 2.945239-1 2.598814-3 3.417103-1 2.795363-3 3.722930-1 3.125689-3 3.905430-1 3.590113-3 3.836122-1 6.082699-3 2.486267-1 7.407771-3 1.954042-1 8.709636-3 1.569328-1 1.025864-2 1.235179-1 1.172863-2 1.002337-1 1.339173-2 8.054334-2 1.516076-2 6.493488-2 1.686585-2 5.341551-2 1.898921-2 4.247406-2 2.123682-2 3.372224-2 2.378990-2 2.620541-2 2.650350-2 2.015039-2 2.855041-2 1.648044-2 3.099857-2 1.292467-2 3.322933-2 1.024337-2 3.546900-2 8.000263-3 3.775338-2 6.067748-3 4.013932-2 4.357100-3 4.238917-2 2.967354-3 4.432495-2 1.924923-3 4.618786-2 1.028809-3 4.708303-2 6.313606-4 4.810036-2 2.049268-4 4.887775-2-1.069961-4 5.006747-2-5.548090-4 5.128614-2-9.842175-4 5.357243-2-1.721529-3 5.711911-2-2.711218-3 6.080969-2-3.578728-3 6.665478-2-4.689404-3 7.407175-2-5.765240-3 8.557005-2-6.944405-3 1.032111-1-8.086922-3 1.327096-1-9.144730-3 1.802473-1-9.927203-3 2.884032-1-1.049179-2 7.332672-1-1.079753-2 2.235892+0-1.084748-2 6.752287+0-1.085284-2 1.000000+1-1.085254-2 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.099486-2 1.085096-6 1.588186-2 1.215257-6 2.680678-2 1.274516-6 3.360881-2 1.302764-6 3.737555-2 1.330129-6 4.142599-2 1.383149-6 5.043616-2 1.440000-6 6.208459-2 1.479455-6 7.149450-2 1.523142-6 8.364890-2 1.564099-6 9.694714-2 1.602496-6 1.114141-1 1.638493-6 1.270313-1 1.672240-6 1.438308-1 1.703878-6 1.618845-1 1.733539-6 1.812383-1 1.761346-6 2.019334-1 1.787415-6 2.240144-1 1.811855-6 2.475125-1 1.834767-6 2.724454-1 1.856247-6 2.988807-1 1.876385-6 3.269178-1 1.895264-6 3.566435-1 1.912963-6 3.881380-1 1.929556-6 4.214853-1 1.945112-6 4.567748-1 1.959696-6 4.941010-1 1.973368-6 5.335633-1 1.986185-6 5.752657-1 1.998202-6 6.193180-1 2.009467-6 6.658387-1 2.020029-6 7.149485-1 2.029930-6 7.667523-1 2.039213-6 8.213354-1 2.050313-6 8.958418-1 2.056074-6 9.392469-1 2.063722-6 1.002858+0 2.070893-6 1.069788+0 2.077615-6 1.140191+0 2.083917-6 1.214205+0 2.089825-6 1.291951+0 2.095364-6 1.373543+0 2.100557-6 1.459100+0 2.110294-6 1.649329+0 2.118813-6 1.858841+0 2.126268-6 2.090098+0 2.132791-6 2.346038+0 2.138498-6 2.629173+0 2.143492-6 2.940388+0 2.147862-6 3.278086+0 2.151686-6 3.638066+0 2.155031-6 4.014075+0 2.157959-6 4.398724+0 2.160520-6 4.784435+0 2.162761-6 5.164193+0 2.164722-6 5.532031+0 2.168154-6 6.263713+0 2.172659-6 7.413455+0 2.183812-6 1.132569+1 2.188504-6 1.344593+1 2.190515-6 1.443448+1 2.194536-6 1.653571+1 2.195969-6 1.731812+1 2.200568-6 1.991069+1 2.201741-6 2.058349+1 2.205260-6 2.260095+1 2.207640-6 2.394360+1 2.210480-6 2.549295+1 2.213330-6 2.695879+1 2.216085-6 2.826120+1 2.218387-6 2.924091+1 2.220606-6 3.007665+1 2.224027-6 3.112559+1 2.226708-6 3.172257+1 2.230185-6 3.217687+1 2.232562-6 3.227040+1 2.235834-6 3.210616+1 2.238609-6 3.170417+1 2.241279-6 3.109888+1 2.243811-6 3.033856+1 2.245842-6 2.960755+1 2.250358-6 2.764443+1 2.253243-6 2.618835+1 2.255976-6 2.469843+1 2.258704-6 2.313298+1 2.261127-6 2.170009+1 2.263658-6 2.018155+1 2.266923-6 1.822202+1 2.269604-6 1.663811+1 2.273625-6 1.434832+1 2.274966-6 1.361588+1 2.277045-6 1.251595+1 2.281099-6 1.051475+1 2.282451-6 9.893108+0 2.285690-6 8.500556+0 2.288531-6 7.394553+0 2.289714-6 6.966236+0 2.293936-6 5.586548+0 2.296892-6 4.754996+0 2.298666-6 4.306166+0 2.303395-6 3.278764+0 2.307356-6 2.588469+0 2.311278-6 2.035902+0 2.315179-6 1.595543+0 2.320347-6 1.148934+0 2.328023-6 7.004973-1 2.338119-6 3.634423-1 2.345588-6 2.229091-1 2.350519-6 1.608113-1 2.355411-6 1.156822-1 2.357843-6 9.794175-2 2.360266-6 8.279276-2 2.362678-6 6.986045-2 2.365082-6 5.882952-2 2.367476-6 4.943364-2 2.369861-6 4.144696-2 2.372236-6 3.467713-2 2.374602-6 2.895973-2 2.381645-6 1.680729-2 2.383975-6 1.407244-2 2.386293-6 1.185765-2 2.387448-6 1.092308-2 2.388601-6 1.009371-2 2.390901-6 8.723941-3 2.392047-6 8.171759-3 2.392620-6 7.926355-3 2.394903-6 7.134963-3 2.397179-6 6.622319-3 2.398313-6 6.461060-3 2.400577-6 6.312390-3 2.402833-6 6.377653-3 2.405079-6 6.638272-3 2.407317-6 7.079047-3 2.409546-6 7.687552-3 2.411767-6 8.453598-3 2.416190-6 1.043036-2 2.420579-6 1.295363-2 2.424933-6 1.598163-2 2.429254-6 1.947782-2 2.433541-6 2.340727-2 2.437794-6 2.773526-2 2.446234-6 3.749007-2 2.454542-6 4.844559-2 2.462721-6 6.036642-2 2.470771-6 7.305859-2 2.478696-6 8.636819-2 2.494298-6 1.146194-1 2.509413-6 1.442623-1 2.524055-6 1.749687-1 2.538239-6 2.066698-1 2.565722-6 2.747336-1 2.668782-6 5.838435-1 2.707429-6 7.311328-1 2.741246-6 8.836284-1 2.819380-6 1.345516+0 2.856548-6 1.642582+0 2.886901-6 1.937874+0 2.909666-6 2.199995+0 2.926740-6 2.425334+0 2.956876-6 2.895521+0 2.980792-6 3.352689+0 2.999951-6 3.792082+0 3.014611-6 4.184104+0 3.020450-6 4.356048+0 3.039718-6 4.999190+0 3.054464-6 5.586786+0 3.069210-6 6.280790+0 3.076583-6 6.676592+0 3.087382-6 7.327429+0 3.098181-6 8.079691+0 3.109899-6 9.039512+0 3.117229-6 9.733966+0 3.127528-6 1.086340+1 3.137045-6 1.210812+1 3.145910-6 1.349483+1 3.151495-6 1.451261+1 3.156732-6 1.559307+1 3.166550-6 1.804632+1 3.175141-6 2.082215+1 3.182658-6 2.394102+1 3.189235-6 2.739635+1 3.194991-6 3.115048+1 3.200027-6 3.513898+1 3.204433-6 3.928034+1 3.208289-6 4.348707+1 3.211662-6 4.767514+1 3.217197-6 5.571342+1 3.225107-6 7.012910+1 3.238044-6 1.026146+2 3.243270-6 1.192439+2 3.249243-6 1.407900+2 3.252826-6 1.549716+2 3.259197-6 1.822949+2 3.267160-6 2.194622+2 3.269898-6 2.327499+2 3.275124-6 2.583957+2 3.278468-6 2.747409+2 3.282457-6 2.938590+2 3.285852-6 3.095476+2 3.289371-6 3.249962+2 3.292065-6 3.361131+2 3.295914-6 3.506959+2 3.300400-6 3.653895+2 3.304868-6 3.771608+2 3.308871-6 3.849927+2 3.313340-6 3.904579+2 3.317063-6 3.922513+2 3.321436-6 3.910969+2 3.325506-6 3.868872+2 3.327590-6 3.835937+2 3.331565-6 3.752714+2 3.335329-6 3.650774+2 3.336721-6 3.607804+2 3.341397-6 3.444663+2 3.344980-6 3.302436+2 3.347776-6 3.182795+2 3.351772-6 3.001254+2 3.354983-6 2.848534+2 3.358362-6 2.683408+2 3.362720-6 2.467067+2 3.366701-6 2.269290+2 3.370683-6 2.074340+2 3.375162-6 1.861480+2 3.378646-6 1.702472+2 3.380929-6 1.602032+2 3.388935-6 1.276699+2 3.393868-6 1.099265+2 3.397942-6 9.666140+1 3.402321-6 8.380217+1 3.404948-6 7.676761+1 3.412954-6 5.831448+1 3.420299-6 4.498073+1 3.437590-6 2.424562+1 3.442740-6 2.023680+1 3.447568-6 1.713556+1 3.452095-6 1.470945+1 3.456338-6 1.278880+1 3.460316-6 1.124975+1 3.464046-6 1.000160+1 3.471039-6 8.074825+0 3.477158-6 6.737679+0 3.482512-6 5.772782+0 3.495395-6 4.015708+0 3.501544-6 3.381888+0 3.519990-6 1.999665+0 3.528654-6 1.548236+0 3.539685-6 1.112195+0 3.546216-6 9.174568-1 3.548393-6 8.620138-1 3.554923-6 7.219305-1 3.557916-6 6.700423-1 3.563630-6 5.904893-1 3.566623-6 5.581859-1 3.569480-6 5.327899-1 3.572337-6 5.122668-1 3.575466-6 4.948482-1 3.577252-6 4.870534-1 3.580182-6 4.772756-1 3.583471-6 4.701935-1 3.586365-6 4.668095-1 3.589751-6 4.655338-1 3.595193-6 4.676547-1 3.606656-6 4.768149-1 3.612302-6 4.779820-1 3.616417-6 4.757639-1 3.617437-6 4.747376-1 3.625124-6 4.602366-1 3.627930-6 4.518499-1 3.633287-6 4.313318-1 3.636416-6 4.167895-1 3.639764-6 3.993743-1 3.642499-6 3.839073-1 3.644549-6 3.716782-1 3.647625-6 3.525018-1 3.650701-6 3.325616-1 3.655055-6 3.035664-1 3.658320-6 2.816430-1 3.659409-6 2.743651-1 3.663762-6 2.457077-1 3.668116-6 2.182884-1 3.674230-6 1.830318-1 3.677141-6 1.679468-1 3.685530-6 1.318751-1 3.689400-6 1.193261-1 3.691335-6 1.140756-1 3.693754-6 1.084892-1 3.695802-6 1.046120-1 3.697476-6 1.020254-1 3.698843-6 1.003013-1 3.700637-6 9.856638-2 3.702944-6 9.721070-2 3.704271-6 9.687305-2 3.710037-6 9.907766-2 3.711651-6 1.007399-1 3.719379-6 1.147119-1 3.803589-6 8.565465-1 3.815081-6 1.114888+0 3.825137-6 1.416758+0 3.833936-6 1.760941+0 3.841634-6 2.143434+0 3.848371-6 2.557634+0 3.854265-6 2.994950+0 3.863936-6 3.900371+0 3.885323-6 7.038091+0 3.892657-6 8.574261+0 3.898832-6 1.007830+1 3.905125-6 1.181494+1 3.911073-6 1.364368+1 3.914713-6 1.484848+1 3.924301-6 1.829367+1 3.933890-6 2.202385+1 3.937186-6 2.333804+1 3.943478-6 2.583992+1 3.947234-6 2.730288+1 3.951716-6 2.898871+1 3.955616-6 3.037965+1 3.959872-6 3.179126+1 3.964652-6 3.321158+1 3.968644-6 3.423912+1 3.972814-6 3.513598+1 3.979050-6 3.610019+1 3.983462-6 3.648585+1 3.988622-6 3.660745+1 3.992300-6 3.647288+1 3.994341-6 3.631875+1 3.999133-6 3.573759+1 4.003209-6 3.500919+1 4.005471-6 3.451676+1 4.009876-6 3.338846+1 4.013958-6 3.216040+1 4.017469-6 3.097993+1 4.022850-6 2.898380+1 4.026374-6 2.757796+1 4.030239-6 2.596878+1 4.033199-6 2.470281+1 4.037429-6 2.286344+1 4.041848-6 2.093078+1 4.045909-6 1.916905+1 4.050149-6 1.736735+1 4.054344-6 1.564239+1 4.058539-6 1.399161+1 4.061385-6 1.292078+1 4.064756-6 1.170979+1 4.068687-6 1.038129+1 4.069738-6 1.004213+1 4.077094-6 7.862725+0 4.082341-6 6.518667+0 4.086422-6 5.592780+0 4.090279-6 4.810599+0 4.093890-6 4.156616+0 4.097944-6 3.507541+0 4.101815-6 2.966687+0 4.106700-6 2.384651+0 4.111699-6 1.893872+0 4.119225-6 1.326958+0 4.125888-6 9.687398-1 4.127570-6 8.964164-1 4.130914-6 7.717614-1 4.133130-6 7.021314-1 4.135121-6 6.477271-1 4.137483-6 5.924937-1 4.141985-6 5.129049-1 4.144236-6 4.846550-1 4.145361-6 4.732134-1 4.146486-6 4.634926-1 4.147726-6 4.547241-1 4.156400-6 4.458956-1 4.158878-6 4.590978-1 4.163215-6 4.979941-1 4.166468-6 5.400856-1 4.171347-6 6.238163-1 4.173787-6 6.750010-1 4.176226-6 7.324807-1 4.191096-6 1.224991+0 4.196053-6 1.446317+0 4.199770-6 1.631875+0 4.204726-6 1.905725+0 4.209726-6 2.212377+0 4.216853-6 2.700641+0 4.221005-6 3.011025+0 4.224261-6 3.266491+0 4.234526-6 4.128870+0 4.244174-6 4.986742+0 4.246174-6 5.165850+0 4.252346-6 5.712039+0 4.256512-6 6.069116+0 4.258775-6 6.257055+0 4.262170-6 6.528713+0 4.265565-6 6.785578+0 4.270414-6 7.121410+0 4.272395-6 7.246449+0 4.275860-6 7.446316+0 4.280409-6 7.668476+0 4.284795-6 7.835318+0 4.286257-6 7.879937+0 4.291635-6 7.994387+0 4.295957-6 8.027952+0 4.297897-6 8.025765+0 4.302423-6 7.979051+0 4.306950-6 7.874946+0 4.317620-6 7.417762+0 4.322247-6 7.137957+0 4.326968-6 6.810864+0 4.331350-6 6.476579+0 4.334721-6 6.203662+0 4.339404-6 5.808658+0 4.344195-6 5.393849+0 4.348921-6 4.983440+0 4.354103-6 4.542533+0 4.361511-6 3.949559+0 4.371712-6 3.249509+0 4.376625-6 2.974388+0 4.380302-6 2.798214+0 4.384271-6 2.637853+0 4.387743-6 2.523317+0 4.388739-6 2.494921+0 4.392344-6 2.408545+0 4.393215-6 2.391511+0 4.400067-6 2.307627+0 4.402994-6 2.297655+0 4.408559-6 2.317496+0 4.411248-6 2.343693+0 4.415097-6 2.397780+0 4.418042-6 2.450862+0 4.424510-6 2.596272+0 4.439738-6 3.024921+0 4.446989-6 3.232880+0 4.453046-6 3.392203+0 4.458886-6 3.526333+0 4.464187-6 3.627615+0 4.467542-6 3.680598+0 4.475611-6 3.771277+0 4.478300-6 3.790079+0 4.489058-6 3.813467+0 4.500947-6 3.764695+0 4.522422-6 3.610106+0 4.531063-6 3.567472+0 4.535820-6 3.555219+0 4.542035-6 3.553195+0 4.544106-6 3.556199+0 4.555155-6 3.603089+0 4.563147-6 3.666840+0 4.568388-6 3.720041+0 4.581739-6 3.885434+0 4.612589-6 4.333773+0 4.630399-6 4.593972+0 4.686130-6 5.448500+0 4.716130-6 5.953978+0 4.742426-6 6.385709+0 4.786530-6 7.082340+0 4.796279-6 7.275220+0 4.802568-6 7.422430+0 4.809897-6 7.625843+0 4.817846-6 7.897540+0 4.826335-6 8.263969+0 4.833169-6 8.630448+0 4.839557-6 9.042255+0 4.846484-6 9.576460+0 4.850829-6 9.963954+0 4.856435-6 1.052975+1 4.864211-6 1.144954+1 4.869656-6 1.219572+1 4.878780-6 1.365248+1 4.887904-6 1.538991+1 4.901446-6 1.853512+1 4.924053-6 2.545367+1 4.941341-6 3.231145+1 4.961682-6 4.239014+1 4.977233-6 5.185532+1 5.008249-6 7.709445+1 5.017332-6 8.673906+1 5.025847-6 9.707698+1 5.033829-6 1.081659+2 5.041313-6 1.200661+2 5.048329-6 1.328363+2 5.054907-6 1.465300+2 5.061074-6 1.611903+2 5.072636-6 1.946955+2 5.082753-6 2.324425+2 5.091605-6 2.740653+2 5.099351-6 3.188694+2 5.106128-6 3.659351+2 5.112294-6 4.163114+2 5.121788-6 5.106530+2 5.137928-6 7.294479+2 5.153571-6 1.030969+3 5.162331-6 1.245892+3 5.172072-6 1.527853+3 5.178941-6 1.754905+3 5.191626-6 2.234804+3 5.196546-6 2.440887+3 5.204311-6 2.785998+3 5.210865-6 3.093212+3 5.213649-6 3.227191+3 5.222002-6 3.637370+3 5.226377-6 3.854647+3 5.230554-6 4.061669+3 5.236321-6 4.344087+3 5.241914-6 4.610525+3 5.246197-6 4.807056+3 5.252317-6 5.072813+3 5.257973-6 5.298570+3 5.260186-6 5.380841+3 5.268141-6 5.644043+3 5.274082-6 5.803401+3 5.281307-6 5.949158+3 5.287775-6 6.031643+3 5.295096-6 6.067866+3 5.300514-6 6.055102+3 5.311496-6 5.928209+3 5.317188-6 5.812050+3 5.324621-6 5.613557+3 5.330317-6 5.429468+3 5.334762-6 5.269000+3 5.341114-6 5.017978+3 5.347751-6 4.733890+3 5.355646-6 4.375515+3 5.362010-6 4.077286+3 5.369214-6 3.736635+3 5.374849-6 3.472161+3 5.381899-6 3.148522+3 5.387466-6 2.901575+3 5.400194-6 2.376050+3 5.409566-6 2.030784+3 5.424645-6 1.557478+3 5.455511-6 8.906966+2 5.462910-6 7.820717+2 5.470280-6 6.896076+2 5.477620-6 6.111762+2 5.484933-6 5.447892+2 5.492216-6 4.886352+2 5.499471-6 4.411000+2 5.506698-6 4.007714+2 5.513897-6 3.664351+2 5.521067-6 3.370614+2 5.535352-6 2.898221+2 5.549526-6 2.539317+2 5.563588-6 2.258791+2 5.577541-6 2.033617+2 5.591385-6 1.848691+2 5.605120-6 1.693951+2 5.618749-6 1.562505+2 5.632270-6 1.449479+2 5.645687-6 1.351307+2 5.658998-6 1.265301+2 5.672205-6 1.189385+2 5.698414-6 1.061171+2 5.724213-6 9.577294+1 5.749608-6 8.726968+1 5.774607-6 8.017322+1 5.799216-6 7.417668+1 5.823439-6 6.905592+1 5.847285-6 6.464275+1 5.870757-6 6.080726+1 5.893863-6 5.744629+1 5.942494-6 5.144435+1 5.983422-6 4.727463+1 6.027716-6 4.346775+1 6.067470-6 4.055252+1 6.112938-6 3.768067+1 6.150686-6 3.560219+1 6.183947-6 3.396579+1 6.220372-6 3.235522+1 6.290945-6 2.966978+1 6.357107-6 2.756172+1 6.419134-6 2.587672+1 6.500817-6 2.399002+1 6.531801-6 2.335539+1 6.634018-6 2.151646+1 6.723458-6 2.016449+1 6.801719-6 1.914330+1 6.870196-6 1.835345+1 6.990032-6 1.714870+1 7.085906-6 1.632252+1 7.260893-6 1.504307+1 7.458080-6 1.382783+1 7.711340-6 1.249062+1 7.902843-6 1.148449+1 8.010563-6 1.078439+1 8.071156-6 1.024226+1 8.110109-6 9.815615+0 8.151882-6 9.353750+0 8.161914-6 9.259140+0 8.192011-6 9.068601+0 8.212076-6 9.059102+0 8.232141-6 9.178903+0 8.237157-6 9.231877+0 8.252206-6 9.449783+0 8.265640-6 9.720096+0 8.276611-6 9.992424+0 8.291011-6 1.041424+1 8.309524-6 1.104465+1 8.332465-6 1.190900+1 8.352530-6 1.267414+1 8.372595-6 1.338120+1 8.377611-6 1.354199+1 8.396963-6 1.408162+1 8.404495-6 1.425215+1 8.415792-6 1.446229+1 8.427088-6 1.461582+1 8.439971-6 1.472176+1 8.452854-6 1.475700+1 8.462887-6 1.473912+1 8.472919-6 1.468551+1 8.492984-6 1.448859+1 8.513049-6 1.420359+1 8.550219-6 1.356570+1 8.586180-6 1.295250+1 8.613310-6 1.254843+1 8.654693-6 1.205297+1 8.716766-6 1.152999+1 8.820223-6 1.094190+1 8.977364-6 1.022093+1 9.021557-6 1.005460+1 9.066627-6 9.945171+0 9.088943-6 9.924091+0 9.121002-6 9.937386+0 9.153062-6 9.996982+0 9.222841-6 1.019145+1 9.245199-6 1.023801+1 9.267569-6 1.026378+1 9.288191-6 1.026582+1 9.308813-6 1.024657+1 9.353006-6 1.014445+1 9.447870-6 9.825356+0 9.491274-6 9.714972+0 9.542490-6 9.632696+0 9.700562-6 9.468896+0 1.021570-5 8.828112+0 1.090747-5 8.134330+0 1.145687-5 7.679268+0 1.231337-5 7.092194+0 1.300080-5 6.706380+0 1.387011-5 6.306320+0 1.521358-5 5.824921+0 1.666814-5 5.434459+0 1.750000-5 5.253619+0 1.935000-5 4.933509+0 2.250000-5 4.542608+0 2.630268-5 4.198774+0 2.951209-5 3.948822+0 3.112518-5 3.827502+0 3.307051-5 3.674389+0 3.488741-5 3.525136+0 3.672823-5 3.374079+0 3.900000-5 3.176717+0 4.220000-5 2.873517+0 4.480089-5 2.605971+0 4.677351-5 2.389802+0 4.860000-5 2.181885+0 5.060177-5 1.944192+0 5.233111-5 1.731808+0 5.358347-5 1.575084+0 5.510650-5 1.381195+0 5.653435-5 1.197888+0 5.787620-5 1.026688+0 5.912789-5 8.682647-1 6.030440-5 7.236391-1 6.140737-5 5.934326-1 6.217301-5 5.072324-1 6.408898-5 3.079696-1 6.456542-5 2.633746-1 6.486904-5 2.368592-1 6.576546-5 1.673054-1 6.607671-5 1.464381-1 6.723238-5 8.461255-2 6.756112-5 7.225265-2 6.813384-5 5.810863-2 6.851593-5 5.445249-2 6.885998-5 5.541420-2 6.887185-5 5.552177-2 6.963904-5 7.383016-2 6.999648-5 9.104250-2 7.015847-5 1.009712-1 7.062176-5 1.375300-1 7.112344-5 1.923955-1 7.148164-5 2.426050-1 7.187245-5 3.092057-1 7.223403-5 3.832199-1 7.262242-5 4.781000-1 7.289238-5 5.548711-1 7.329461-5 6.883138-1 7.351777-5 7.734018-1 7.403590-5 1.006519+0 7.492927-5 1.567529+0 7.523259-5 1.826723+0 7.555858-5 2.163730+0 7.579964-5 2.461967+0 7.621438-5 3.093463+0 7.658956-5 3.802910+0 7.677716-5 4.201822+0 7.696475-5 4.622972+0 7.715234-5 5.058778+0 7.729769-5 5.401342+0 7.741194-5 5.670992+0 7.766076-5 6.252553+0 7.785534-5 6.697640+0 7.798358-5 6.986125+0 7.819629-5 7.458969+0 7.852610-5 8.195082+0 7.979259-5 1.151512+1 8.026501-5 1.298132+1 8.059307-5 1.404311+1 8.092934-5 1.515501+1 8.132419-5 1.647878+1 8.156954-5 1.730639+1 8.198794-5 1.871871+1 8.246651-5 2.032050+1 8.290000-5 2.174060+1 8.330000-5 2.301067+1 8.392500-5 2.489693+1 8.450000-5 2.651391+1 8.500000-5 2.782292+1 8.550364-5 2.904820+1 8.600000-5 3.016384+1 8.660770-5 3.140932+1 8.720000-5 3.250445+1 8.790000-5 3.366127+1 8.875000-5 3.489100+1 8.992921-5 3.635826+1 9.067910-5 3.718685+1 9.230000-5 3.877223+1 9.465127-5 4.081862+1 1.057713-4 5.079409+1 1.085292-4 5.319571+1 1.099437-4 5.435476+1 1.102949-4 5.478729+1 1.105779-4 5.528528+1 1.107917-4 5.580101+1 1.110724-4 5.673636+1 1.113317-4 5.794432+1 1.115451-4 5.924415+1 1.116351-4 5.988583+1 1.119308-4 6.241573+1 1.122175-4 6.549775+1 1.126044-4 7.052872+1 1.131418-4 7.835294+1 1.134223-4 8.222643+1 1.136382-4 8.483212+1 1.138669-4 8.706347+1 1.140815-4 8.855302+1 1.142433-4 8.924891+1 1.144436-4 8.958805+1 1.145898-4 8.948132+1 1.147942-4 8.887358+1 1.150366-4 8.757078+1 1.153674-4 8.510202+1 1.158573-4 8.101572+1 1.162110-4 7.846840+1 1.165018-4 7.690019+1 1.166129-4 7.644338+1 1.169746-4 7.548555+1 1.172897-4 7.522073+1 1.175337-4 7.528430+1 1.183058-4 7.621227+1 1.193840-4 7.748597+1 1.231915-4 8.063800+1 1.285818-4 8.554405+1 1.309492-4 8.740862+1 1.339130-4 8.950509+1 1.374585-4 9.171497+1 1.408478-4 9.353891+1 1.478973-4 9.666216+1 1.529487-4 9.858048+1 1.622728-4 1.014705+2 1.768336-4 1.046567+2 1.864833-4 1.061572+2 2.024179-4 1.074286+2 2.200392-4 1.078017+2 2.547822-4 1.071193+2 2.826506-4 1.069349+2 3.235937-4 1.059381+2 3.683741-4 1.044159+2 4.439824-4 1.013001+2 5.252738-4 9.813482+1 6.317523-4 9.416807+1 6.780474-4 9.221215+1 8.291285-4 8.633468+1 9.015711-4 8.369918+1 9.728423-4 8.070861+1 1.060396-3 7.705398+1 1.104187-3 7.517927+1 1.148726-3 7.310133+1 1.190585-3 7.103832+1 1.230393-3 6.896876+1 1.268648-3 6.684271+1 1.300649-3 6.491491+1 1.329689-3 6.298689+1 1.357070-3 6.096044+1 1.380384-3 5.905000+1 1.401401-3 5.714162+1 1.415081-3 5.577792+1 1.428661-3 5.430027+1 1.443026-3 5.256731+1 1.454655-3 5.100163+1 1.464283-3 4.956322+1 1.473253-3 4.807247+1 1.481904-3 4.645409+1 1.491148-3 4.445682+1 1.498862-3 4.250183+1 1.505215-3 4.064773+1 1.510940-3 3.878589+1 1.517417-3 3.653321+1 1.525307-3 3.387711+1 1.529528-3 3.269005+1 1.533036-3 3.192920+1 1.535719-3 3.152497+1 1.538178-3 3.131024+1 1.540211-3 3.125470+1 1.541896-3 3.129600+1 1.543322-3 3.139393+1 1.546595-3 3.183715+1 1.549340-3 3.243698+1 1.551535-3 3.305684+1 1.554628-3 3.412122+1 1.558451-3 3.569720+1 1.571805-3 4.240371+1 1.574763-3 4.393619+1 1.578202-3 4.566872+1 1.582186-3 4.757831+1 1.585656-3 4.913832+1 1.589574-3 5.077454+1 1.595000-3 5.281875+1 1.599562-3 5.435027+1 1.605265-3 5.605299+1 1.611811-3 5.776468+1 1.618754-3 5.935643+1 1.627810-3 6.116990+1 1.637499-3 6.286258+1 1.647910-3 6.446277+1 1.658926-3 6.595880+1 1.669149-3 6.719701+1 1.681977-3 6.857908+1 1.706229-3 7.076746+1 1.723980-3 7.210308+1 1.752569-3 7.388939+1 1.791758-3 7.579116+1 1.834879-3 7.732325+1 1.880940-3 7.854058+1 1.948793-3 7.974423+1 2.014969-3 8.044424+1 2.087987-3 8.079574+1 2.205754-3 8.083368+1 2.327546-3 8.033258+1 2.482296-3 7.925386+1 2.646524-3 7.775837+1 2.863645-3 7.544144+1 3.154767-3 7.219939+1 3.420287-3 6.928097+1 3.757103-3 6.571878+1 4.158793-3 6.165434+1 4.591125-3 5.758495+1 4.944204-3 5.449682+1 5.513823-3 4.984870+1 6.111770-3 4.545871+1 6.779021-3 4.103786+1 7.300652-3 3.792400+1 7.846708-3 3.495393+1 8.406115-3 3.220580+1 9.202073-3 2.875880+1 1.019633-2 2.512048+1 1.147437-2 2.133586+1 1.302353-2 1.779181+1 1.535835-2 1.394085+1 1.922605-2 9.925124+0 2.436253-2 6.891658+0 2.921543-2 5.175562+0 3.477447-2 3.907756+0 3.925455-2 3.197240+0 4.646300-2 2.396129+0 5.397532-2 1.844909+0 6.339126-2 1.381372+0 7.931505-2 9.157179-1 1.047129-1 5.455360-1 1.305513-1 3.589394-1 1.716842-1 2.117978-1 2.349430-1 1.148106-1 3.494529-1 5.243788-2 6.588191-1 1.485046-2 2.039158+0 1.553827-3 6.158159+0 1.704161-4 1.859734+1 1.868627-5 5.616308+1 2.048914-6 1.696098+2 2.246591-7 5.122134+2 2.463338-8 1.584893+3 2.572917-9 5.011872+3 2.57292-10 1.584893+4 2.57292-11 5.011872+4 2.57292-12 1.000000+5 6.46288-13 1 13000 7 7 2.698150+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 8.495900-7 1.258900-6 1.346500-6 1.584900-6 2.134100-6 1.995300-6 3.382300-6 2.511900-6 5.360500-6 3.162300-6 8.495800-6 3.981100-6 1.346500-5 5.011900-6 2.134000-5 6.309600-6 3.382200-5 7.943300-6 5.360300-5 1.000000-5 8.495500-5 1.258900-5 1.346400-4 1.584900-5 2.133900-4 1.995300-5 3.381900-4 2.511900-5 5.359800-4 3.162300-5 8.493900-4 3.981100-5 1.345800-3 5.011900-5 2.132400-3 6.309600-5 3.378800-3 7.943300-5 5.348400-3 1.000000-4 8.464100-3 1.258900-4 1.339400-2 1.584900-4 2.115900-2 1.995300-4 3.338300-2 2.511900-4 5.251500-2 3.162300-4 8.224000-2 3.981100-4 1.279000-1 5.011900-4 1.969600-1 6.309600-4 2.987300-1 7.943300-4 4.435600-1 1.000000-3 6.398300-1 1.258900-3 8.898300-1 1.584900-3 1.185500+0 1.995300-3 1.510500+0 2.511900-3 1.850000+0 3.162300-3 2.207300+0 3.981100-3 2.601300+0 5.011900-3 3.051700+0 6.309600-3 3.583100+0 7.943300-3 4.165800+0 1.000000-2 4.764500+0 1.258900-2 5.323600+0 1.584900-2 5.794500+0 1.995300-2 6.160800+0 2.511900-2 6.432200+0 3.162300-2 6.617900+0 3.981100-2 6.715700+0 5.011900-2 6.719500+0 6.309600-2 6.626300+0 7.943300-2 6.460500+0 1.000000-1 6.219900+0 1.258900-1 5.927000+0 1.584900-1 5.595000+0 1.995300-1 5.235600+0 2.511900-1 4.862000+0 3.162300-1 4.484100+0 3.981100-1 4.110400+0 5.011900-1 3.746400+0 6.309600-1 3.395600+0 7.943300-1 3.060900+0 1.000000+0 2.743300+0 1.258900+0 2.444100+0 1.584900+0 2.164300+0 1.995300+0 1.904500+0 2.511900+0 1.665700+0 3.162300+0 1.447900+0 3.981100+0 1.251300+0 5.011900+0 1.075400+0 6.309600+0 9.194600-1 7.943300+0 7.823700-1 1.000000+1 6.627900-1 1.258900+1 5.592400-1 1.584900+1 4.701500-1 1.995300+1 3.939500-1 2.511900+1 3.291100-1 3.162300+1 2.742000-1 3.981100+1 2.278900-1 5.011900+1 1.889900-1 6.309600+1 1.564200-1 7.943300+1 1.292200-1 1.000000+2 1.065800-1 1.258900+2 8.776700-2 1.584900+2 7.217700-2 1.995300+2 5.928100-2 2.511900+2 4.863300-2 3.162300+2 3.985400-2 3.981100+2 3.262600-2 5.011900+2 2.668500-2 6.309600+2 2.180600-2 7.943300+2 1.780500-2 1.000000+3 1.452700-2 1.258900+3 1.184300-2 1.584900+3 9.649200-3 1.995300+3 7.856500-3 2.511900+3 6.392900-3 3.162300+3 5.199000-3 3.981100+3 4.225700-3 5.011900+3 3.432900-3 6.309600+3 2.787400-3 7.943300+3 2.262200-3 1.000000+4 1.835100-3 1.258900+4 1.488000-3 1.584900+4 1.206000-3 1.995300+4 9.771000-4 2.511900+4 7.913300-4 3.162300+4 6.406400-4 3.981100+4 5.184600-4 5.011900+4 4.194400-4 6.309600+4 3.392100-4 7.943300+4 2.742400-4 1.000000+5 2.216500-4 1 13000 7 7 2.698150+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510163-4 3.162278-4 3.159551-4 3.981072-4 3.976751-4 5.011872-4 5.005052-4 6.309573-4 6.298852-4 7.943282-4 7.926432-4 1.000000-3 9.973569-4 1.258925-3 1.254812-3 1.584893-3 1.578511-3 1.995262-3 1.985394-3 2.511886-3 2.496666-3 3.162278-3 3.138754-3 3.981072-3 3.944436-3 5.011872-3 4.954296-3 6.309573-3 6.219263-3 7.943282-3 7.801623-3 1.000000-2 9.779207-3 1.258925-2 1.224790-2 1.584893-2 1.532509-2 1.995262-2 1.915221-2 2.511886-2 2.389819-2 3.162278-2 2.976313-2 3.981072-2 3.698626-2 5.011872-2 4.584948-2 6.309573-2 5.669653-2 7.943282-2 6.987698-2 1.000000-1 8.586908-2 1.258925-1 1.051582-1 1.584893-1 1.283098-1 1.995262-1 1.560217-1 2.511886-1 1.890496-1 3.162278-1 2.282771-1 3.981072-1 2.747177-1 5.011872-1 3.295574-1 6.309573-1 3.941642-1 7.943282-1 4.701849-1 1.000000+0 5.596467-1 1.258925+0 6.650181-1 1.584893+0 7.893624-1 1.995262+0 9.364390-1 2.511886+0 1.110980+0 3.162278+0 1.318662+0 3.981072+0 1.566567+0 5.011872+0 1.863313+0 6.309573+0 2.219463+0 7.943282+0 2.647928+0 1.000000+1 3.164482+0 1.258925+1 3.788485+0 1.584893+1 4.543630+0 1.995262+1 5.458772+0 2.511886+1 6.569493+0 3.162278+1 7.919422+0 3.981072+1 9.561861+0 5.011872+1 1.156263+1 6.309573+1 1.400225+1 7.943282+1 1.697984+1 1.000000+2 2.061720+1 1.258925+2 2.506444+1 1.584893+2 3.050604+1 1.995262+2 3.716928+1 2.511886+2 4.533440+1 3.162278+2 5.534675+1 3.981072+2 6.763106+1 5.011872+2 8.271419+1 6.309573+2 1.012440+2 7.943282+2 1.240192+2 1.000000+3 1.520289+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 13000 7 9 2.698150+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739888-9 3.981072-5 4.342114-9 5.011872-5 6.881454-9 6.309573-5 1.090589-8 7.943282-5 1.727919-8 1.000000-4 2.738005-8 1.258925-4 4.338609-8 1.584893-4 6.872520-8 1.995262-4 1.088437-7 2.511886-4 1.723323-7 3.162278-4 2.726347-7 3.981072-4 4.320341-7 5.011872-4 6.820449-7 6.309573-4 1.072112-6 7.943282-4 1.685001-6 1.000000-3 2.643120-6 1.258925-3 4.113477-6 1.584893-3 6.382177-6 1.995262-3 9.868224-6 2.511886-3 1.522063-5 3.162278-3 2.352381-5 3.981072-3 3.663598-5 5.011872-3 5.757670-5 6.309573-3 9.031005-5 7.943282-3 1.416594-4 1.000000-2 2.207932-4 1.258925-2 3.413576-4 1.584893-2 5.238424-4 1.995262-2 8.004127-4 2.511886-2 1.220677-3 3.162278-2 1.859650-3 3.981072-2 2.824454-3 5.011872-2 4.269242-3 6.309573-2 6.399208-3 7.943282-2 9.555848-3 1.000000-1 1.413092-2 1.258925-1 2.073432-2 1.584893-1 3.017955-2 1.995262-1 4.350454-2 2.511886-1 6.213907-2 3.162278-1 8.795066-2 3.981072-1 1.233894-1 5.011872-1 1.716299-1 6.309573-1 2.367932-1 7.943282-1 3.241433-1 1.000000+0 4.403533-1 1.258925+0 5.939073-1 1.584893+0 7.955308-1 1.995262+0 1.058823+0 2.511886+0 1.400906+0 3.162278+0 1.843616+0 3.981072+0 2.414505+0 5.011872+0 3.148559+0 6.309573+0 4.090110+0 7.943282+0 5.295354+0 1.000000+1 6.835518+0 1.258925+1 8.800769+0 1.584893+1 1.130530+1 1.995262+1 1.449385+1 2.511886+1 1.854937+1 3.162278+1 2.370335+1 3.981072+1 3.024886+1 5.011872+1 3.855609+1 6.309573+1 4.909348+1 7.943282+1 6.245298+1 1.000000+2 7.938280+1 1.258925+2 1.008281+2 1.584893+2 1.279833+2 1.995262+2 1.623570+2 2.511886+2 2.058542+2 3.162278+2 2.608810+2 3.981072+2 3.304761+2 5.011872+2 4.184730+2 6.309573+2 5.297133+2 7.943282+2 6.703091+2 1.000000+3 8.479711+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.870000-6 1.361433+7 4.880000-6 1.354722+7 4.880000-6 2.036141+7 5.128614-6 1.808790+7 5.308844-6 1.664129+7 5.370318-6 1.617142+7 5.623413-6 1.439602+7 5.700000-6 1.389717+7 6.000000-6 1.213499+7 6.025596-6 1.199463+7 6.350000-6 1.036917+7 6.382635-6 1.021819+7 6.700000-6 8.876356+6 7.000000-6 7.771734+6 7.079458-6 7.506419+6 7.350000-6 6.664883+6 7.413102-6 6.484190+6 7.700000-6 5.719377+6 7.762471-6 5.566427+6 8.100000-6 4.806594+6 8.128305-6 4.748222+6 8.500000-6 4.041920+6 8.511380-6 4.022215+6 8.850000-6 3.473723+6 8.912509-6 3.381862+6 9.225714-6 2.953823+6 9.332543-6 2.821900+6 9.600000-6 2.514402+6 9.772372-6 2.335969+6 1.000000-5 2.118269+6 1.016000-5 1.978570+6 1.016000-5 2.146882+6 1.020000-5 2.104440+6 1.030000-5 1.999811+6 1.035142-5 1.948458+6 1.040000-5 1.901399+6 1.047129-5 1.834789+6 1.055000-5 1.764737+6 1.060000-5 1.722053+6 1.062000-5 1.705126+6 1.067000-5 1.663607+6 1.071519-5 1.627223+6 1.072000-5 1.623388+6 1.077000-5 1.584136+6 1.082000-5 1.546148+6 1.087000-5 1.509368+6 1.092000-5 1.473756+6 1.097000-5 1.439286+6 1.100000-5 1.419096+6 1.103000-5 1.398966+6 1.108000-5 1.366218+6 1.112000-5 1.340778+6 1.116000-5 1.315990+6 1.120000-5 1.291837+6 1.123500-5 1.270991+6 1.127000-5 1.250614+6 1.131000-5 1.227887+6 1.135011-5 1.205684+6 1.138500-5 1.186835+6 1.141000-5 1.173589+6 1.143500-5 1.160556+6 1.146500-5 1.145193+6 1.149000-5 1.132616+6 1.150000-5 1.127636+6 1.152000-5 1.117569+6 1.154200-5 1.106639+6 1.156000-5 1.097813+6 1.158500-5 1.085724+6 1.160700-5 1.075248+6 1.163000-5 1.064456+6 1.165000-5 1.055202+6 1.167000-5 1.045968+6 1.169000-5 1.036855+6 1.171000-5 1.027860+6 1.173000-5 1.018982+6 1.175000-5 1.010219+6 1.176500-5 1.003722+6 1.178000-5 9.972875+5 1.183500-5 9.742282+5 1.185000-5 9.680817+5 1.186000-5 9.640173+5 1.187000-5 9.599794+5 1.187700-5 9.571685+5 1.188502-5 9.539637+5 1.189200-5 9.511881+5 1.190000-5 9.480224+5 1.190700-5 9.452660+5 1.191300-5 9.429133+5 1.192000-5 9.401801+5 1.192700-5 9.374594+5 1.193300-5 9.351372+5 1.193900-5 9.328241+5 1.194600-5 9.301368+5 1.195200-5 9.278432+5 1.196000-5 9.247990+5 1.196700-5 9.221483+5 1.197300-5 9.198859+5 1.198100-5 9.168831+5 1.198900-5 9.138959+5 1.200000-5 9.098138+5 1.201500-5 9.042943+5 1.202264-5 9.015041+5 1.206500-5 8.859412+5 1.208500-5 8.787427+5 1.210500-5 8.716382+5 1.212000-5 8.663707+5 1.213500-5 8.611549+5 1.215500-5 8.542800+5 1.216186-5 8.519417+5 1.217000-5 8.491512+5 1.219200-5 8.416815+5 1.221500-5 8.339873+5 1.223500-5 8.273909+5 1.226000-5 8.192669+5 1.228500-5 8.112759+5 1.230800-5 8.040394+5 1.233000-5 7.972198+5 1.236000-5 7.880782+5 1.239000-5 7.791160+5 1.242000-5 7.703295+5 1.245000-5 7.617150+5 1.248000-5 7.532697+5 1.251000-5 7.449898+5 1.254000-5 7.368725+5 1.258000-5 7.262966+5 1.258925-5 7.238844+5 1.262000-5 7.158271+5 1.266000-5 7.055823+5 1.270000-5 6.956071+5 1.273503-5 6.870760+5 1.275000-5 6.834681+5 1.280000-5 6.716401+5 1.285000-5 6.602015+5 1.290000-5 6.491412+5 1.297000-5 6.342678+5 1.303167-5 6.217317+5 1.310000-5 6.084377+5 1.318257-5 5.931708+5 1.327000-5 5.776038+5 1.333521-5 5.665662+5 1.335000-5 5.641257+5 1.342000-5 5.528251+5 1.352000-5 5.376007+5 1.360000-5 5.261578+5 1.370000-5 5.127212+5 1.381000-5 4.989865+5 1.392000-5 4.862753+5 1.396368-5 4.814431+5 1.405000-5 4.724172+5 1.420000-5 4.579171+5 1.435000-5 4.449148+5 1.450000-5 4.332717+5 1.465000-5 4.228638+5 1.485000-5 4.107166+5 1.500000-5 4.027712+5 1.515000-5 3.956197+5 1.522000-5 3.928267+5 1.531087-5 3.892345+5 1.540000-5 3.861855+5 1.566751-5 3.781544+5 1.570000-5 3.772533+5 1.590000-5 3.729681+5 1.620000-5 3.681910+5 1.621810-5 3.679164+5 1.640590-5 3.659441+5 1.650000-5 3.653931+5 1.659587-5 3.646768+5 1.678804-5 3.641878+5 1.680000-5 3.641937+5 1.698244-5 3.638785+5 1.717908-5 3.645559+5 1.737801-5 3.651689+5 1.750000-5 3.660225+5 1.757924-5 3.667388+5 1.771400-5 3.675787+5 1.785000-5 3.688145+5 1.800000-5 3.705018+5 1.819701-5 3.724726+5 1.830000-5 3.736895+5 1.850000-5 3.765238+5 1.862087-5 3.779395+5 1.885000-5 3.810783+5 1.905461-5 3.844493+5 1.920000-5 3.864360+5 1.950000-5 3.912703+5 1.980000-5 3.959124+5 2.000000-5 3.994224+5 2.020000-5 4.023436+5 2.055000-5 4.081000+5 2.070000-5 4.108156+5 2.090000-5 4.138122+5 2.104000-5 4.159763+5 2.130000-5 4.202635+5 2.137962-5 4.216097+5 2.150000-5 4.233031+5 2.170000-5 4.262783+5 2.199400-5 4.307486+5 2.213095-5 4.329226+5 2.250000-5 4.378666+5 2.270000-5 4.406582+5 2.300000-5 4.449298+5 2.317395-5 4.469290+5 2.344229-5 4.501436+5 2.400000-5 4.569239+5 2.426610-5 4.595603+5 2.516400-5 4.685397+5 2.540973-5 4.704230+5 2.580000-5 4.734390+5 2.630268-5 4.773149+5 2.770000-5 4.851549+5 2.800000-5 4.862557+5 2.818383-5 4.868815+5 2.917427-5 4.901091+5 2.951209-5 4.906311+5 2.985383-5 4.910674+5 3.090295-5 4.922615+5 3.150000-5 4.918652+5 3.235937-5 4.912081+5 3.273407-5 4.908189+5 3.311311-5 4.899448+5 3.402400-5 4.877782+5 3.467369-5 4.860900+5 3.570000-5 4.822350+5 3.650000-5 4.790977+5 3.672823-5 4.781856+5 3.758374-5 4.739904+5 3.850000-5 4.693770+5 3.900000-5 4.668582+5 3.950000-5 4.639253+5 4.027170-5 4.592903+5 4.168694-5 4.509732+5 4.220000-5 4.475023+5 4.365158-5 4.378793+5 4.450000-5 4.323040+5 4.466836-5 4.311972+5 4.570882-5 4.237600+5 4.677351-5 4.162355+5 4.800000-5 4.078125+5 4.900000-5 4.004295+5 5.011872-5 3.924018+5 5.150000-5 3.826867+5 5.308844-5 3.712090+5 5.432503-5 3.625175+5 5.559043-5 3.539251+5 5.623413-5 3.494415+5 5.754399-5 3.404298+5 5.956621-5 3.272023+5 6.025596-5 3.228238+5 6.095369-5 3.182861+5 6.309573-5 3.049242+5 6.500000-5 2.936694+5 6.606934-5 2.876171+5 6.683439-5 2.832404+5 6.918310-5 2.703182+5 7.161434-5 2.578931+5 7.328245-5 2.497998+5 7.413102-5 2.457173+5 7.762471-5 2.299363+5 8.035261-5 2.186334+5 8.073000-5 2.171345+5 8.073000-5 1.476650+6 8.115000-5 1.629247+6 8.120000-5 1.647396+6 8.120000-5 2.269376+6 8.145000-5 2.408038+6 8.160000-5 2.491301+6 8.175000-5 2.575943+6 8.190000-5 2.659747+6 8.205000-5 2.744046+6 8.230000-5 2.883656+6 8.235000-5 2.911647+6 8.260000-5 3.049251+6 8.265000-5 3.076993+6 8.282000-5 3.168195+6 8.290000-5 3.212057+6 8.300000-5 3.266139+6 8.317638-5 3.357714+6 8.330000-5 3.423436+6 8.340000-5 3.475705+6 8.370000-5 3.625925+6 8.385000-5 3.700774+6 8.415000-5 3.844625+6 8.420000-5 3.868289+6 8.450000-5 4.003309+6 8.465000-5 4.069885+6 8.500000-5 4.216174+6 8.515000-5 4.277377+6 8.550000-5 4.409866+6 8.570000-5 4.483625+6 8.600000-5 4.584908+6 8.630000-5 4.683100+6 8.650000-5 4.742507+6 8.690000-5 4.856071+6 8.709636-5 4.906574+6 8.720000-5 4.933412+6 8.750000-5 5.006533+6 8.780000-5 5.071252+6 8.830000-5 5.173185+6 8.850000-5 5.208241+6 8.920000-5 5.322841+6 9.015711-5 5.443831+6 9.120108-5 5.541763+6 9.230000-5 5.616122+6 9.400000-5 5.691122+6 9.549926-5 5.727032+6 9.580000-5 5.734193+6 9.660509-5 5.749414+6 9.885531-5 5.772216+6 9.900000-5 5.773673+6 1.000000-4 5.780213+6 1.040000-4 5.784122+6 1.047129-4 5.782845+6 1.050000-4 5.780851+6 1.083927-4 5.757883+6 1.096478-4 5.738549+6 1.122018-4 5.700126+6 1.125000-4 5.693642+6 1.161449-4 5.604384+6 1.190000-4 5.511365+6 1.190500-4 5.509306+6 1.190500-4 6.069171+6 1.216186-4 5.959880+6 1.230269-4 5.901768+6 1.273503-4 5.690351+6 1.303167-4 5.529950+6 1.318257-4 5.451519+6 1.333521-4 5.364681+6 1.364583-4 5.195288+6 1.366900-4 5.182238+6 1.380384-4 5.104962+6 1.430000-4 4.836848+6 1.513561-4 4.408761+6 1.531087-4 4.322790+6 1.540000-4 4.280124+6 1.603245-4 3.993128+6 1.621810-4 3.913867+6 1.678804-4 3.675277+6 1.737801-4 3.449711+6 1.757924-4 3.374279+6 1.800000-4 3.224631+6 1.840772-4 3.088489+6 1.850000-4 3.058912+6 1.862087-4 3.019618+6 1.972423-4 2.689427+6 1.980000-4 2.668814+6 2.000000-4 2.614069+6 2.018366-4 2.564359+6 2.137962-4 2.273084+6 2.162719-4 2.219086+6 2.238721-4 2.059441+6 2.317395-4 1.911690+6 2.371374-4 1.818568+6 2.426610-4 1.730126+6 2.454709-4 1.686982+6 2.457300-4 1.683083+6 2.483133-4 1.644636+6 2.500000-4 1.620232+6 2.630268-4 1.447444+6 2.691535-4 1.375496+6 2.730000-4 1.332263+6 2.754229-4 1.305810+6 2.786121-4 1.272155+6 2.818383-4 1.239215+6 2.917427-4 1.145549+6 2.951209-4 1.115979+6 3.000000-4 1.074536+6 3.054921-4 1.030193+6 3.126079-4 9.766299+5 3.235937-4 9.011179+5 3.273407-4 8.773111+5 3.350000-4 8.308628+5 3.388442-4 8.087657+5 3.427678-4 7.870856+5 3.630781-4 6.866225+5 3.715352-4 6.502392+5 3.758374-4 6.325598+5 3.801894-4 6.152654+5 4.120975-4 5.064535+5 4.168694-4 4.924415+5 4.216965-4 4.787398+5 4.315191-4 4.525117+5 4.365158-4 4.398697+5 4.518559-4 4.040903+5 4.623810-4 3.819139+5 4.677351-4 3.711894+5 4.731513-4 3.607770+5 4.786301-4 3.506186+5 4.841724-4 3.406744+5 5.128614-4 2.951540+5 5.308844-4 2.708977+5 5.370318-4 2.631504+5 5.688529-4 2.274835+5 5.821032-4 2.146556+5 5.956621-4 2.025693+5 6.000000-4 1.989084+5 6.095369-4 1.910851+5 6.382635-4 1.698304+5 6.606934-4 1.555069+5 6.839116-4 1.424249+5 6.918310-4 1.382548+5 7.585776-4 1.090052+5 7.673615-4 1.058293+5 7.762471-4 1.027257+5 7.800000-4 1.014532+5 7.943282-4 9.675250+4 8.035261-4 9.388495+4 8.709636-4 7.612445+4 8.810489-4 7.388739+4 9.015711-4 6.954274+4 9.120108-4 6.746888+4 1.000000-3 5.296841+4 1.011579-3 5.139795+4 1.035142-3 4.834638+4 1.047129-3 4.689048+4 1.096478-3 4.148868+4 1.148154-3 3.672799+4 1.161449-3 3.562864+4 1.202264-3 3.247909+4 1.244515-3 2.960578+4 1.303167-3 2.617791+4 1.318257-3 2.538687+4 1.333521-3 2.461207+4 1.380384-3 2.241935+4 1.396368-3 2.173217+4 1.428894-3 2.042131+4 1.513561-3 1.748932+4 1.549900-3 1.639320+4 1.549900-3 1.897466+5 1.566751-3 1.857792+5 1.584893-3 1.816482+5 1.595000-3 1.794068+5 1.603245-3 1.771629+5 1.621810-3 1.722532+5 1.670000-3 1.603735+5 1.737801-3 1.447003+5 1.778279-3 1.363320+5 1.819701-3 1.284487+5 1.840772-3 1.247484+5 1.862087-3 1.211550+5 2.000000-3 1.010616+5 2.018366-3 9.874225+4 2.065380-3 9.313176+4 2.100000-3 8.928119+4 2.137962-3 8.530916+4 2.187762-3 8.046299+4 2.238721-3 7.589303+4 2.317395-3 6.943850+4 2.344229-3 6.740971+4 2.398833-3 6.352761+4 2.436040-3 6.105847+4 2.483133-3 5.812028+4 2.511886-3 5.642220+4 2.540973-3 5.472664+4 2.660725-3 4.844005+4 2.722701-3 4.557095+4 2.786121-3 4.287144+4 2.851018-3 4.033219+4 2.884032-3 3.911949+4 2.951209-3 3.680253+4 3.019952-3 3.462305+4 3.090295-3 3.253592+4 3.198895-3 2.963649+4 3.311311-3 2.699537+4 3.388442-3 2.536678+4 3.400000-3 2.513442+4 3.467369-3 2.381655+4 3.589219-3 2.166258+4 3.758374-3 1.908875+4 3.890451-3 1.736113+4 3.935501-3 1.682073+4 4.027170-3 1.578990+4 4.073803-3 1.528953+4 4.216965-3 1.388172+4 4.415704-3 1.220299+4 4.570882-3 1.107855+4 4.623810-3 1.072726+4 4.786301-3 9.738841+3 4.841724-3 9.430061+3 4.954502-3 8.832687+3 5.188000-3 7.748278+3 5.308844-3 7.257061+3 5.370318-3 7.023268+3 5.432503-3 6.797004+3 5.623413-3 6.161022+3 5.754399-3 5.770483+3 5.821032-3 5.582102+3 6.095369-3 4.887583+3 6.237348-3 4.573431+3 6.309573-3 4.424017+3 6.456542-3 4.139672+3 6.606934-3 3.873604+3 6.839116-3 3.506247+3 6.918310-3 3.390283+3 7.161434-3 3.064645+3 7.328245-3 2.865118+3 7.413102-3 2.770283+3 7.673615-3 2.504204+3 7.762471-3 2.421316+3 8.128305-3 2.116327+3 8.222426-3 2.045453+3 8.413951-3 1.910638+3 8.609938-3 1.784704+3 8.810489-3 1.667077+3 9.120108-3 1.505015+3 9.225714-3 1.454574+3 9.772372-3 1.226635+3 9.800000-3 1.216416+3 1.000000-2 1.144930+3 1.023293-2 1.068560+3 1.059254-2 9.634553+2 1.083927-2 8.991960+2 1.096478-2 8.686914+2 1.174898-2 7.062135+2 1.188502-2 6.822400+2 1.202264-2 6.588208+2 1.230269-2 6.143639+2 1.288250-2 5.342530+2 1.303167-2 5.159147+2 1.333521-2 4.811041+2 1.412538-2 4.040115+2 1.462177-2 3.637926+2 1.500000-2 3.363692+2 1.566751-2 2.943001+2 1.603245-2 2.742225+2 1.659587-2 2.466448+2 1.717908-2 2.218419+2 1.819701-2 1.858973+2 1.840772-2 1.793734+2 1.883649-2 1.670044+2 1.905461-2 1.611435+2 2.113489-2 1.168369+2 2.137962-2 1.127340+2 2.213095-2 1.012696+2 2.317395-2 8.777705+1 2.344229-2 8.466538+1 2.454709-2 7.328301+1 2.630268-2 5.901361+1 2.917427-2 4.263715+1 2.951209-2 4.112475+1 3.311311-2 2.856433+1 3.388442-2 2.655518+1 3.548134-2 2.295099+1 3.715352-2 1.983604+1 3.845918-2 1.778049+1 4.216965-2 1.325099+1 4.731513-2 9.173694+0 5.128614-2 7.091716+0 5.432503-2 5.893478+0 5.495409-2 5.679203+0 5.559043-2 5.472720+0 5.754399-2 4.897244+0 5.956621-2 4.382286+0 6.606934-2 3.140150+0 7.079458-2 2.512542+0 7.585776-2 2.010381+0 7.673615-2 1.937044+0 8.222426-2 1.549913+0 8.511380-2 1.386384+0 8.810489-2 1.240108+0 8.912509-2 1.194864+0 9.225714-2 1.068797+0 9.332543-2 1.029803+0 1.047129-1 7.101432-1 1.059254-1 6.842356-1 1.096478-1 6.120471-1 1.122019-1 5.682028-1 1.174898-1 4.897141-1 1.230269-1 4.224378-1 1.244515-1 4.071156-1 1.273503-1 3.781191-1 1.303167-1 3.511884-1 1.396368-1 2.813694-1 1.428894-1 2.613417-1 1.445440-1 2.518690-1 1.462177-1 2.427400-1 1.500000-1 2.236530-1 1.603245-1 1.806647-1 1.621810-1 1.741166-1 1.640590-1 1.678732-1 1.659587-1 1.618538-1 1.698244-1 1.504548-1 1.737801-1 1.398587-1 1.862087-1 1.123609-1 1.883649-1 1.083353-1 1.905461-1 1.044538-1 1.949845-1 9.710312-2 2.089296-1 7.823852-2 2.113489-1 7.547190-2 2.137962-1 7.280314-2 2.299100-1 5.801731-2 2.317395-1 5.661637-2 2.344229-1 5.464163-2 2.371374-1 5.273577-2 2.483133-1 4.575433-2 2.570396-1 4.113673-2 2.600160-1 3.970353-2 2.630268-1 3.832029-2 2.660725-1 3.700661-2 2.818383-1 3.108413-2 2.851018-1 3.001863-2 2.917427-1 2.799836-2 2.951209-1 2.703981-2 2.985383-1 2.611406-2 3.019952-1 2.523649-2 3.090295-1 2.356899-2 3.126079-1 2.277702-2 3.235937-1 2.055723-2 3.273407-1 1.986742-2 3.349654-1 1.855644-2 3.388442-1 1.793375-2 3.427678-1 1.734385-2 3.590900-1 1.515138-2 3.630781-1 1.467293-2 3.715352-1 1.372491-2 3.758374-1 1.327411-2 3.935501-1 1.164777-2 3.981072-1 1.127334-2 4.027170-1 1.091094-2 4.168694-1 9.893755-3 4.265795-1 9.283385-3 4.365158-1 8.710676-3 4.415705-1 8.437706-3 4.466836-1 8.173297-3 4.570882-1 7.669894-3 4.623810-1 7.435903-3 4.731513-1 6.989175-3 4.795100-1 6.742576-3 4.841724-1 6.569288-3 4.897788-1 6.368904-3 5.011872-1 5.986928-3 5.069907-1 5.809252-3 5.128614-1 5.636873-3 5.248075-1 5.307310-3 5.308844-1 5.149830-3 5.370318-1 4.997019-3 5.495409-1 4.705404-3 5.559043-1 4.569840-3 5.754399-1 4.186194-3 5.821032-1 4.065607-3 5.888437-1 3.948493-3 5.956621-1 3.834989-3 6.025596-1 3.724747-3 6.095369-1 3.620827-3 6.382635-1 3.233400-3 6.456542-1 3.143205-3 6.531306-1 3.055716-3 6.606935-1 2.970664-3 6.683439-1 2.890549-3 6.918310-1 2.662972-3 6.998420-1 2.591167-3 7.079458-1 2.521465-3 7.244360-1 2.387636-3 7.328245-1 2.325427-3 7.585776-1 2.148384-3 7.673615-1 2.092418-3 7.852356-1 1.985067-3 8.000000-1 1.904860-3 8.222427-1 1.792659-3 8.317638-1 1.747549-3 8.413951-1 1.703574-3 8.511380-1 1.660792-3 8.609938-1 1.620407-3 8.709636-1 1.581004-3 8.912509-1 1.505063-3 9.015711-1 1.468472-3 9.120108-1 1.432770-3 9.225714-1 1.397937-3 9.440609-1 1.333126-3 9.549926-1 1.301856-3 9.660509-1 1.271326-3 9.772372-1 1.241512-3 1.000000+0 1.183965-3 1.011579+0 1.157034-3 1.074800+0 1.025006-3 1.083927+0 1.007829-3 1.096478+0 9.849079-4 1.122018+0 9.406169-4 1.135011+0 9.192697-4 1.148154+0 8.990917-4 1.174898+0 8.600554-4 1.202264+0 8.227156-4 1.216186+0 8.046601-4 1.230269+0 7.870010-4 1.244515+0 7.697297-4 1.258925+0 7.528825-4 1.288250+0 7.214855-4 1.318257+0 6.913993-4 1.333521+0 6.768332-4 1.364583+0 6.486137-4 1.380384+0 6.349830-4 1.412538+0 6.095181-4 1.445440+0 5.850754-4 1.462177+0 5.732265-4 1.500000+0 5.477917-4 1.513561+0 5.391264-4 1.566751+0 5.084473-4 1.603245+0 4.889750-4 1.659587+0 4.611555-4 1.678804+0 4.525965-4 1.698244+0 4.441962-4 1.737801+0 4.278609-4 1.778279+0 4.121297-4 1.840772+0 3.896104-4 1.883649+0 3.758394-4 1.905461+0 3.691374-4 1.949845+0 3.560901-4 2.000000+0 3.422360-4 2.065380+0 3.254600-4 2.113489+0 3.143734-4 2.137962+0 3.089726-4 2.213095+0 2.933204-4 2.264644+0 2.833307-4 2.344229+0 2.689800-4 2.398833+0 2.601583-4 2.426610+0 2.558565-4 2.511886+0 2.433734-4 2.570396+0 2.353929-4 2.691535+0 2.202085-4 2.754229+0 2.132575-4 2.786121+0 2.098648-4 2.884032+0 2.000069-4 2.951209+0 1.936949-4 3.090295+0 1.816620-4 3.162278+0 1.761410-4 3.198895+0 1.734439-4 3.311311+0 1.655975-4 3.427678+0 1.581075-4 3.589219+0 1.486451-4 3.672823+0 1.442844-4 3.715352+0 1.421523-4 3.890451+0 1.339343-4 4.027170+0 1.280851-4 4.265795+0 1.188985-4 4.365158+0 1.155240-4 4.415704+0 1.138729-4 4.623810+0 1.075009-4 4.786301+0 1.029578-4 5.069907+0 9.580855-5 5.188000+0 9.317777-5 5.308844+0 9.061923-5 5.559043+0 8.571096-5 5.754399+0 8.220560-5 6.165950+0 7.561908-5 6.309573+0 7.360486-5 6.456542+0 7.164430-5 6.839116+0 6.696835-5 7.079458+0 6.431093-5 7.673615+0 5.851318-5 7.943282+0 5.625667-5 8.128305+0 5.480088-5 8.511380+0 5.200135-5 8.810489+0 4.999623-5 9.772372+0 4.443296-5 1.023293+1 4.222451-5 1.035142+1 4.168978-5 1.083927+1 3.961768-5 1.096478+1 3.911603-5 1.122018+1 3.813168-5 1.318257+1 3.190095-5 1.380384+1 3.035290-5 1.445440+1 2.887994-5 1.462177+1 2.852306-5 1.496236+1 2.782246-5 1.757924+1 2.337716-5 1.778279+1 2.308862-5 1.905461+1 2.145914-5 2.065380+1 1.970286-5 2.113489+1 1.922804-5 2.187762+1 1.853718-5 2.483133+1 1.620974-5 2.570396+1 1.562804-5 2.722701+1 1.472152-5 2.754229+1 1.454663-5 2.951209+1 1.354005-5 2.985383+1 1.337920-5 3.090295+1 1.290805-5 4.027170+1 9.806002-6 4.315191+1 9.128163-6 4.623810+1 8.505844-6 4.677351+1 8.406330-6 4.897788+1 8.019780-6 5.011872+1 7.833236-6 7.161434+1 5.438905-6 8.035261+1 4.835490-6 8.912509+1 4.354237-6 9.015711+1 4.303813-6 9.549926+1 4.060316-6 9.660509+1 4.013298-6 1.000000+2 3.875484-6 1.428894+2 2.700930-6 1.603245+2 2.404085-6 1.778279+2 2.166435-6 1.798871+2 2.141524-6 1.905461+2 2.021201-6 1.927525+2 1.997962-6 1.995262+2 1.929833-6 2.851018+2 1.348410-6 6.382635+2 6.002753-7 7.079458+2 5.411610-7 7.161434+2 5.349631-7 7.585776+2 5.050222-7 7.673615+2 4.992383-7 7.943282+2 4.822810-7 2.264644+3 1.690694-7 1.000000+5 3.822959-9 1 13000 7 0 2.698150+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.870000-6 4.870000-6 1.016000-5 4.873381-6 1.016000-5 5.287845-6 1.067000-5 5.100490-6 1.108000-5 4.983427-6 1.146500-5 4.909064-6 1.178000-5 4.878965-6 1.210500-5 4.881267-6 1.242000-5 4.919323-6 1.273503-5 4.995001-6 1.303167-5 5.101998-6 1.335000-5 5.254347-6 1.370000-5 5.464014-6 1.405000-5 5.710847-6 1.450000-5 6.068826-6 1.570000-5 7.088857-6 1.621810-5 7.490114-6 1.659587-5 7.751193-6 1.698244-5 7.988173-6 1.750000-5 8.258175-6 1.800000-5 8.470230-6 1.862087-5 8.672538-6 1.920000-5 8.813425-6 2.000000-5 8.946752-6 2.104000-5 9.046822-6 2.250000-5 9.101390-6 2.426610-5 9.098937-6 2.917427-5 8.981738-6 3.672823-5 8.799672-6 4.450000-5 8.678066-6 5.308844-5 8.604720-6 6.606934-5 8.570444-6 8.073000-5 8.580570-6 8.073000-5 1.473245-5 8.120000-5 1.485056-5 8.120000-5 1.511928-5 8.265000-5 1.531257-5 8.465000-5 1.544636-5 8.850000-5 1.554374-5 1.000000-4 1.561150-5 1.190500-4 1.565350-5 1.190500-4 1.654585-5 1.430000-4 1.668935-5 1.862087-4 1.700240-5 2.500000-4 1.741529-5 3.715352-4 1.804765-5 5.128614-4 1.865090-5 6.839116-4 1.923993-5 8.810489-4 1.977816-5 1.148154-3 2.034356-5 1.428894-3 2.079873-5 1.549900-3 2.096421-5 1.549900-3 3.350050-5 2.722701-3 3.372067-5 6.309573-3 3.386669-5 3.388442-2 3.394670-5 1.000000+5 3.395984-5 1 13000 7 7 2.698150+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.870000-6 0.0 8.073000-5 0.0 8.073000-5 2.852451-8 8.120000-5 2.907160-8 8.120000-5 3.026585-8 8.205000-5 3.085434-8 8.317638-5 3.136865-8 8.465000-5 3.177566-8 8.690000-5 3.209918-8 9.120108-5 3.234845-8 1.050000-4 3.260187-8 1.190500-4 3.272347-8 1.190500-4 3.277186-8 1.757924-4 3.280902-8 6.606934-4 3.232964-8 1.396368-3 3.195015-8 1.549900-3 3.189849-8 1.549900-3 4.874814-5 1.670000-3 4.890675-5 2.884032-3 4.933589-5 5.308844-3 4.955571-5 2.317395-2 4.966064-5 1.000000+5 4.964113-5 1 13000 7 9 2.698150+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.870000-6 0.0 4.880000-6 1.000000-8 4.880000-6 6.653378-9 1.016000-5 5.286619-6 1.016000-5 4.872155-6 1.067000-5 5.569510-6 1.112000-5 6.146013-6 1.156000-5 6.663138-6 1.197300-5 7.097007-6 1.236000-5 7.450775-6 1.275000-5 7.750343-6 1.310000-5 7.968561-6 1.342000-5 8.127054-6 1.381000-5 8.272052-6 1.435000-5 8.404422-6 1.570000-5 8.611143-6 1.621810-5 8.727986-6 1.680000-5 8.919174-6 1.737801-5 9.178638-6 1.800000-5 9.529770-6 1.862087-5 9.948332-6 1.920000-5 1.038658-5 2.020000-5 1.122831-5 2.150000-5 1.242730-5 2.344229-5 1.433642-5 2.917427-5 2.019253-5 4.220000-5 3.349305-5 6.683439-5 5.826501-5 8.073000-5 7.214943-5 8.073000-5 6.596903-5 8.120000-5 6.632037-5 8.120000-5 6.605046-5 8.515000-5 6.965122-5 1.190500-4 1.033638-4 1.190500-4 1.024714-4 6.382635-4 6.191351-4 1.549900-3 1.528904-3 1.549900-3 1.467651-3 1.000000+5 1.000000+5 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.549900-3 1.733534+5 1.595000-3 1.642456+5 1.670000-3 1.469950+5 1.819701-3 1.178672+5 2.238721-3 6.991523+4 2.511886-3 5.208182+4 3.019952-3 3.203206+4 3.400000-3 2.328080+4 4.027170-3 1.464473+4 4.841724-3 8.755044+3 5.754399-3 5.361185+3 6.839116-3 3.259254+3 8.128305-3 1.967978+3 9.800000-3 1.131470+3 1.188502-2 6.347417+2 1.462177-2 3.385236+2 1.819701-2 1.730057+2 2.317395-2 8.169573+1 2.951209-2 3.827636+1 3.845918-2 1.654842+1 5.128614-2 6.600070+0 6.606934-2 2.922415+0 1.174898-1 4.556415-1 1.621810-1 1.619945-1 1.949845-1 9.033390-2 2.299100-1 5.397420-2 2.630268-1 3.564869-2 2.985383-1 2.429292-2 3.388442-1 1.668278-2 3.758374-1 1.234800-2 4.168694-1 9.203225-3 4.570882-1 7.134657-3 5.011872-1 5.569306-3 5.495409-1 4.377327-3 6.025596-1 3.465150-3 6.606935-1 2.763676-3 7.244360-1 2.221129-3 7.852356-1 1.846549-3 8.511380-1 1.544908-3 9.225714-1 1.300505-3 1.000000+0 1.101500-3 1.135011+0 8.552406-4 1.258925+0 7.004401-4 1.380384+0 5.907479-4 1.513561+0 5.015652-4 1.659587+0 4.290340-4 1.840772+0 3.624725-4 2.065380+0 3.027915-4 2.344229+0 2.502457-4 2.691535+0 2.048705-4 3.090295+0 1.690086-4 3.589219+0 1.382916-4 4.265795+0 1.106171-4 5.069907+0 8.913530-5 6.165950+0 7.035206-5 7.673615+0 5.443762-5 9.772372+0 4.133815-5 1.318257+1 2.967898-5 1.778279+1 2.148027-5 2.570396+1 1.453909-5 4.315191+1 8.492132-6 8.035261+1 4.498551-6 1.603245+2 2.236604-6 6.382635+2 5.584311-7 1.000000+5 3.556700-9 1 13000 7 0 2.698150+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.549900-3 3.468600-5 1.000000+5 3.468600-5 1 13000 7 7 2.698150+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.549900-3 5.335500-5 1.000000+5 5.335500-5 1 13000 7 9 2.698150+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.549900-3 1.461859-3 1.000000+5 1.000000+5 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.190500-4 5.598649+5 1.540000-4 4.951220+5 1.603245-4 4.824339+5 1.678804-4 4.646223+5 1.800000-4 4.347480+5 2.000000-4 3.897760+5 2.162719-4 3.573241+5 2.317395-4 3.286269+5 2.500000-4 2.973320+5 2.786121-4 2.552234+5 3.126079-4 2.154110+5 3.427678-4 1.867765+5 3.801894-4 1.577933+5 4.315191-4 1.274208+5 4.786301-4 1.062569+5 5.370318-4 8.614841+4 6.095369-4 6.791779+4 6.839116-4 5.429830+4 7.800000-4 4.174660+4 8.810489-4 3.248375+4 1.011579-3 2.424919+4 1.161449-3 1.794630+4 1.318257-3 1.352237+4 1.513561-3 9.853676+3 1.737801-3 7.123776+3 2.000000-3 5.082380+3 2.317395-3 3.538899+3 2.660725-3 2.502440+3 3.090295-3 1.706809+3 3.589219-3 1.155671+3 4.216965-3 7.536153+2 4.954502-3 4.877193+2 5.821032-3 3.133104+2 6.918310-3 1.934853+2 8.222426-3 1.185558+2 9.772372-3 7.208464+1 1.174898-2 4.205920+1 1.412538-2 2.435168+1 1.717908-2 1.351811+1 2.113489-2 7.190335+0 2.630268-2 3.663103+0 3.311311-2 1.786864+0 4.216965-2 8.344664-1 5.432503-2 3.730546-1 8.222426-2 9.882500-2 1.396368-1 1.802182-2 1.737801-1 8.984599-3 2.137962-1 4.684122-3 2.483133-1 2.945917-3 2.851018-1 1.934526-3 3.235937-1 1.325478-3 3.630781-1 9.468465-4 4.027170-1 7.043903-4 4.466836-1 5.279690-4 4.897788-1 4.113309-4 5.370318-1 3.226046-4 5.888437-1 2.548105-4 6.456542-1 2.027893-4 6.998420-1 1.672009-4 7.673615-1 1.352084-4 8.413951-1 1.101757-4 9.225714-1 9.036026-5 1.000000+0 7.648000-5 1.122018+0 6.072227-5 1.244515+0 4.968853-5 1.364583+0 4.187726-5 1.500000+0 3.537300-5 1.659587+0 2.979027-5 1.840772+0 2.516827-5 2.065380+0 2.102317-5 2.344229+0 1.737455-5 2.691535+0 1.422468-5 3.090295+0 1.173511-5 3.589219+0 9.602034-6 4.265795+0 7.680388-6 5.069907+0 6.188903-6 6.165950+0 4.884737-6 7.673615+0 3.779771-6 9.772372+0 2.870187-6 1.318257+1 2.060714-6 1.757924+1 1.509957-6 2.483133+1 1.046886-6 4.027170+1 6.331326-7 7.161434+1 3.511564-7 1.428894+2 1.744186-7 2.851018+2 8.702282-8 2.264644+3 1.091208-8 1.000000+5 2.46950-10 1 13000 7 0 2.698150+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.190500-4 2.532700-5 1.000000+5 2.532700-5 1 13000 7 7 2.698150+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.190500-4 3.324800-8 1.000000+5 3.324800-8 1 13000 7 9 2.698150+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.190500-4 9.368975-5 1.000000+5 1.000000+5 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 8.120000-5 6.219800+5 8.160000-5 6.945500+5 8.190000-5 7.507200+5 8.230000-5 8.256500+5 8.260000-5 8.813400+5 8.290000-5 9.369500+5 8.330000-5 1.009400+6 8.370000-5 1.079300+6 8.415000-5 1.154900+6 8.450000-5 1.210900+6 8.500000-5 1.286000+6 8.550000-5 1.354800+6 8.600000-5 1.417400+6 8.650000-5 1.473700+6 8.720000-5 1.542700+6 8.780000-5 1.593200+6 8.850000-5 1.643200+6 8.920000-5 1.684800+6 9.015711-5 1.730000+6 9.120108-5 1.767000+6 9.230000-5 1.795500+6 9.400000-5 1.824900+6 9.580000-5 1.843700+6 9.900000-5 1.861200+6 1.040000-4 1.870400+6 1.083927-4 1.865900+6 1.125000-4 1.849300+6 1.161449-4 1.823100+6 1.190000-4 1.795000+6 1.230269-4 1.745100+6 1.273503-4 1.681200+6 1.318257-4 1.607600+6 1.366900-4 1.523900+6 1.430000-4 1.415100+6 1.513561-4 1.280000+6 1.621810-4 1.125500+6 1.737801-4 9.826800+5 1.862087-4 8.516000+5 2.000000-4 7.285500+5 2.162719-4 6.092100+5 2.457300-4 4.507700+5 2.730000-4 3.492800+5 3.000000-4 2.757800+5 3.350000-4 2.075000+5 3.758374-4 1.532500+5 4.168694-4 1.158400+5 4.731513-4 8.154400+4 5.308844-4 5.889400+4 6.000000-4 4.136000+4 6.918310-4 2.719100+4 7.943282-4 1.794600+4 9.120108-4 1.175200+4 1.047129-3 7.633100+3 1.202264-3 4.919700+3 1.380384-3 3.146700+3 1.584893-3 1.997700+3 1.819701-3 1.259300+3 2.100000-3 7.751000+2 2.436040-3 4.653100+2 2.851018-3 2.689400+2 3.311311-3 1.585300+2 3.890451-3 8.905400+1 4.570882-3 4.966200+1 5.370318-3 2.749400+1 6.309573-3 1.511200+1 7.413102-3 8.246900+0 8.810489-3 4.277200+0 1.059254-2 2.106000+0 1.288250-2 9.839000-1 1.603245-2 4.169300-1 2.137962-2 1.334900-1 5.559043-2 2.970549-3 7.079458-2 1.141437-3 8.810489-2 4.840129-4 1.047129-1 2.475688-4 1.230269-1 1.333961-4 1.428894-1 7.567094-5 1.640590-1 4.517298-5 1.862087-1 2.835659-5 2.089296-1 1.869504-5 2.344229-1 1.241203-5 2.630268-1 8.303813-6 2.917427-1 5.825078-6 3.235937-1 4.115078-6 3.590900-1 2.923801-6 3.981072-1 2.098245-6 4.365158-1 1.571131-6 4.795100-1 1.178300-6 5.248075-1 9.012049-7 5.754399-1 6.904215-7 6.382635-1 5.154299-7 6.998420-1 4.003442-7 7.585776-1 3.230408-7 8.317638-1 2.540033-7 8.912509-1 2.136612-7 9.440609-1 1.861971-7 1.000000+0 1.634100-7 1.074800+0 1.400500-7 1.148154+0 1.225537-7 1.230269+0 1.073429-7 1.333521+0 9.265050-8 1.462177+0 7.892284-8 1.678804+0 6.250810-8 1.883649+0 5.185976-8 2.113489+0 4.336507-8 2.398833+0 3.588504-8 2.754229+0 2.941764-8 3.162278+0 2.429893-8 3.672823+0 1.990443-8 4.365158+0 1.593733-8 5.188000+0 1.285473-8 6.309573+0 1.015519-8 7.943282+0 7.760638-9 1.023293+1 5.824446-9 1.380384+1 4.187726-9 1.905461+1 2.960153-9 2.722701+1 2.030694-9 4.623810+1 1.173433-9 8.912509+1 6.00725-10 1.778279+2 2.98906-10 7.079458+2 7.46766-11 1.000000+5 5.27650-13 1 13000 7 0 2.698150+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 8.120000-5 1.583100-5 1.000000+5 1.583100-5 1 13000 7 7 2.698150+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 8.120000-5 3.342900-8 1.000000+5 3.342900-8 1 13000 7 9 2.698150+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 8.120000-5 6.533557-5 1.000000+5 1.000000+5 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 8.073000-5 1.259516+6 8.115000-5 1.413760+6 8.145000-5 1.527280+6 8.175000-5 1.640660+6 8.205000-5 1.753992+6 8.235000-5 1.866060+6 8.265000-5 1.976836+6 8.300000-5 2.103092+6 8.340000-5 2.242292+6 8.385000-5 2.391540+6 8.420000-5 2.501576+6 8.465000-5 2.634568+6 8.515000-5 2.770560+6 8.570000-5 2.905524+6 8.630000-5 3.035684+6 8.690000-5 3.148860+6 8.750000-5 3.246372+6 8.830000-5 3.354676+6 8.920000-5 3.451248+6 9.015711-5 3.530062+6 9.120108-5 3.594235+6 9.230000-5 3.643404+6 9.400000-5 3.693932+6 9.660509-5 3.736187+6 1.000000-4 3.760888+6 1.047129-4 3.768054+6 1.083927-4 3.754695+6 1.122018-4 3.719826+6 1.161449-4 3.658678+6 1.190000-4 3.598608+6 1.230269-4 3.494109+6 1.273503-4 3.361859+6 1.318257-4 3.211398+6 1.364583-4 3.049380+6 1.430000-4 2.822300+6 1.513561-4 2.550973+6 1.621810-4 2.240580+6 1.737801-4 1.955341+6 1.850000-4 1.717328+6 1.980000-4 1.480528+6 2.162719-4 1.209872+6 2.426610-4 9.217639+5 2.691535-4 7.172717+5 2.951209-4 5.699300+5 3.273407-4 4.365609+5 3.715352-4 3.128660+5 4.120975-4 2.365196+5 4.623810-4 1.719856+5 5.308844-4 1.163866+5 6.000000-4 8.167000+4 6.839116-4 5.552216+4 7.673615-4 3.929793+4 8.810489-4 2.576385+4 1.011579-3 1.675530+4 1.161449-3 1.081154+4 1.333521-3 6.921507+3 1.513561-3 4.568804+3 1.737801-3 2.884424+3 2.018366-3 1.738993+3 2.344229-3 1.040298+3 2.722701-3 6.179724+2 3.198895-3 3.498446+2 3.758374-3 1.965648+2 4.415704-3 1.096016+2 5.188000-3 6.065091+1 6.095369-3 3.331348+1 7.161434-3 1.816663+1 8.413951-3 9.835133+0 1.000000-2 5.057400+0 1.202264-2 2.467882+0 1.462177-2 1.142544+0 1.840772-2 4.580236-1 2.454709-2 1.448467-1 3.388442-2 3.960140-2 5.754399-2 4.682381-3 7.585776-2 1.544438-3 9.225714-2 7.087938-4 1.096478-1 3.590284-4 1.273503-1 2.002992-4 1.462177-1 1.177023-4 1.659587-1 7.281376-5 1.862087-1 4.736255-5 2.089296-1 3.103141-5 2.317395-1 2.135786-5 2.570396-1 1.480483-5 2.818383-1 1.075930-5 3.090295-1 7.874158-6 3.349654-1 6.029565-6 3.630781-1 4.646007-6 3.935501-1 3.603587-6 4.265795-1 2.816325-6 4.623810-1 2.216475-6 5.069907-1 1.698815-6 5.495409-1 1.354194-6 5.956621-1 1.087540-6 6.382635-1 9.083093-7 6.918310-1 7.416636-7 7.673615-1 5.767616-7 8.317638-1 4.771460-7 9.015711-1 3.972551-7 9.772372-1 3.328377-7 1.083927+0 2.683111-7 1.174898+0 2.288274-7 1.288250+0 1.923729-7 1.412538+0 1.628511-7 1.566751+0 1.360604-7 1.737801+0 1.144906-7 1.949845+0 9.525582-8 2.213095+0 7.845973-8 2.511886+0 6.509314-8 2.884032+0 5.349782-8 3.311311+0 4.429499-8 3.890451+0 3.582428-8 4.623810+0 2.875553-8 5.559043+0 2.292546-8 6.839116+0 1.791313-8 8.511380+0 1.390885-8 1.096478+1 1.046214-8 1.462177+1 7.629987-9 2.113489+1 5.142869-9 2.985383+1 3.578916-9 4.897788+1 2.145570-9 9.660509+1 1.073836-9 1.927525+2 5.34611-10 7.673615+2 1.33620-10 1.000000+5 1.02350-12 1 13000 7 0 2.698150+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 8.073000-5 1.579300-5 1.000000+5 1.579300-5 1 13000 7 7 2.698150+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 8.073000-5 3.344200-8 1.000000+5 3.344200-8 1 13000 7 9 2.698150+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 8.073000-5 6.490356-5 1.000000+5 1.000000+5 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.016000-5 1.683126+5 1.020000-5 1.590042+5 1.030000-5 1.361862+5 1.040000-5 1.157812+5 1.047129-5 1.026228+5 1.055000-5 8.932820+4 1.062000-5 7.859820+4 1.067000-5 7.146620+4 1.072000-5 6.478680+4 1.077000-5 5.855380+4 1.082000-5 5.273600+4 1.087000-5 4.730400+4 1.092000-5 4.224400+4 1.097000-5 3.755080+4 1.103000-5 3.238040+4 1.108000-5 2.843800+4 1.112000-5 2.551400+4 1.116000-5 2.278360+4 1.120000-5 2.024180+4 1.123500-5 1.816804+4 1.127000-5 1.622904+4 1.131000-5 1.417394+4 1.135011-5 1.228004+4 1.138500-5 1.076364+4 1.141000-5 9.750060+3 1.143500-5 8.796480+3 1.146500-5 7.728340+3 1.149000-5 6.900660+3 1.152000-5 5.980760+3 1.154200-5 5.355480+3 1.156000-5 4.874520+3 1.158500-5 4.251120+3 1.160700-5 3.744760+3 1.163000-5 3.256640+3 1.165000-5 2.865940+3 1.167000-5 2.505920+3 1.169000-5 2.176100+3 1.171000-5 1.876028+3 1.173000-5 1.605024+3 1.175000-5 1.362692+3 1.176500-5 1.199366+3 1.178000-5 1.051672+3 1.183500-5 6.401920+2 1.185000-5 5.625500+2 1.186000-5 5.188160+2 1.187000-5 4.814420+2 1.187700-5 4.590460+2 1.188502-5 4.371367+2 1.189200-5 4.213420+2 1.190000-5 4.069240+2 1.190700-5 3.975260+2 1.191300-5 3.918480+2 1.192000-5 3.879800+2 1.192700-5 3.870760+2 1.193300-5 3.886240+2 1.193900-5 3.923100+2 1.194600-5 3.993020+2 1.195200-5 4.075880+2 1.196000-5 4.219060+2 1.196700-5 4.374820+2 1.197300-5 4.530840+2 1.198100-5 4.770920+2 1.198900-5 5.047540+2 1.200000-5 5.486580+2 1.201500-5 6.194280+2 1.206500-5 9.439300+2 1.208500-5 1.110916+3 1.210500-5 1.298562+3 1.212000-5 1.452552+3 1.213500-5 1.617838+3 1.215500-5 1.855432+3 1.217000-5 2.046240+3 1.219200-5 2.345560+3 1.221500-5 2.682620+3 1.223500-5 2.995220+3 1.226000-5 3.411280+3 1.228500-5 3.854640+3 1.230800-5 4.285860+3 1.233000-5 4.719180+3 1.236000-5 5.341620+3 1.239000-5 5.999900+3 1.242000-5 6.692820+3 1.245000-5 7.419060+3 1.248000-5 8.178180+3 1.251000-5 8.968660+3 1.254000-5 9.790060+3 1.258000-5 1.093124+4 1.262000-5 1.212330+4 1.266000-5 1.336404+4 1.270000-5 1.465150+4 1.275000-5 1.632366+4 1.280000-5 1.806232+4 1.285000-5 1.986328+4 1.290000-5 2.172440+4 1.297000-5 2.442340+4 1.303167-5 2.688507+4 1.310000-5 2.969860+4 1.318257-5 3.320862+4 1.327000-5 3.704460+4 1.335000-5 4.065080+4 1.342000-5 4.387280+4 1.352000-5 4.857480+4 1.360000-5 5.240940+4 1.370000-5 5.728120+4 1.381000-5 6.272520+4 1.392000-5 6.824240+4 1.405000-5 7.483580+4 1.420000-5 8.251120+4 1.435000-5 9.023380+4 1.450000-5 9.797340+4 1.465000-5 1.057056+5 1.485000-5 1.159688+5 1.500000-5 1.236058+5 1.522000-5 1.346792+5 1.540000-5 1.436026+5 1.566751-5 1.565942+5 1.590000-5 1.675898+5 1.620000-5 1.813310+5 1.650000-5 1.945344+5 1.680000-5 2.071820+5 1.717908-5 2.223519+5 1.757924-5 2.373738+5 1.800000-5 2.520780+5 1.850000-5 2.681360+5 1.905461-5 2.842177+5 1.950000-5 2.958900+5 2.000000-5 3.077580+5 2.070000-5 3.223420+5 2.137962-5 3.344391+5 2.213095-5 3.456944+5 2.300000-5 3.562500+5 2.400000-5 3.655620+5 2.516400-5 3.731925+5 2.630268-5 3.779224+5 2.770000-5 3.807500+5 2.917427-5 3.808769+5 3.090295-5 3.781534+5 3.273407-5 3.727290+5 3.467369-5 3.649569+5 3.672823-5 3.551426+5 3.900000-5 3.430080+5 4.168694-5 3.276714+5 4.466836-5 3.101917+5 4.800000-5 2.907200+5 5.150000-5 2.708980+5 5.559043-5 2.490733+5 6.025596-5 2.262498+5 6.606934-5 2.011385+5 7.328245-5 1.747556+5 8.282000-5 1.468238+5 9.549926-5 1.189679+5 1.122018-4 9.304228+4 1.333521-4 7.095754+4 2.162719-4 3.292497+4 2.454709-4 2.674538+4 2.818383-4 2.114409+4 3.273407-4 1.626157+4 3.801894-4 1.241043+4 4.518559-4 9.017512+3 5.128614-4 7.086083+3 5.821032-4 5.526427+3 6.606934-4 4.277748+3 7.762471-4 3.062047+3 9.015711-4 2.231100+3 1.035142-3 1.652851+3 1.202264-3 1.185552+3 1.396368-3 8.436240+2 1.603245-3 6.117709+2 1.862087-3 4.285323+2 2.137962-3 3.062955+2 2.483133-3 2.112598+2 2.884032-3 1.446249+2 3.388442-3 9.541551+1 3.935501-3 6.438333+1 4.623810-3 4.182044+1 5.432503-3 2.695801+1 6.456542-3 1.670957+1 7.673615-3 1.027837+1 9.120108-3 6.274453+0 1.083927-2 3.801587+0 1.303167-2 2.210102+0 1.566751-2 1.275231+0 1.905461-2 7.055231-1 2.344229-2 3.740729-1 2.917427-2 1.899915-1 3.715352-2 8.912645-2 4.731513-2 4.147703-2 6.606934-2 1.429256-2 8.511380-2 6.339382-3 1.273503-1 1.732624-3 1.603245-1 8.309416-4 1.949845-1 4.480639-4 2.317395-1 2.612904-4 2.660725-1 1.709294-4 3.019952-1 1.166534-4 3.388442-1 8.296035-5 3.758374-1 6.143700-5 4.168694-1 4.581005-5 4.623810-1 3.441814-5 5.069907-1 2.688160-5 5.559043-1 2.114703-5 6.095369-1 1.675895-5 6.683439-1 1.338516-5 7.328245-1 1.077425-5 8.000000-1 8.827700-6 8.709636-1 7.329721-6 9.549926-1 6.037780-6 1.083927+0 4.675161-6 1.202264+0 3.816645-6 1.318257+0 3.207644-6 1.445440+0 2.713808-6 1.566751+0 2.358356-6 1.737801+0 1.984309-6 1.949845+0 1.651527-6 2.213095+0 1.360549-6 2.511886+0 1.128770-6 2.884032+0 9.276240-7 3.311311+0 7.680282-7 3.890451+0 6.211523-7 4.623810+0 4.985858-7 5.559043+0 3.974986-7 6.839116+0 3.105919-7 8.511380+0 2.411719-7 1.083927+1 1.837354-7 1.445440+1 1.339652-7 2.065380+1 9.137951-8 2.951209+1 6.280141-8 4.897788+1 3.720174-8 9.549926+1 1.883785-8 1.905461+2 9.377706-9 7.585776+2 2.343756-9 1.000000+5 1.77470-11 1 13000 7 0 2.698150+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.016000-5 1.016000-5 1.000000+5 1.016000-5 1 13000 7 9 2.698150+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.016000-5 0.0 1.000000+5 1.000000+5 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 4.880000-6 6.814193+6 5.128614-6 6.069135+6 5.370318-6 5.428631+6 5.700000-6 4.668029+6 6.025596-6 4.030794+6 6.382635-6 3.436031+6 6.700000-6 2.986160+6 7.000000-6 2.616834+6 7.350000-6 2.244821+6 7.700000-6 1.927568+6 8.100000-6 1.620892+6 8.500000-6 1.363769+6 8.850000-6 1.172995+6 9.225714-6 9.981346+5 9.600000-6 8.502591+5 1.000000-5 7.166260+5 1.035142-5 6.169763+5 1.071519-5 5.287377+5 1.120000-5 4.309162+5 1.165000-5 3.568196+5 1.216186-5 2.883747+5 1.273503-5 2.278345+5 1.333521-5 1.788083+5 1.531087-5 8.486923+4 1.590000-5 6.962293+4 1.640590-5 5.948426+4 1.678804-5 5.329123+4 1.717908-5 4.804293+4 1.750000-5 4.444029+4 1.785000-5 4.113329+4 1.819701-5 3.840941+4 1.850000-5 3.642196+4 1.885000-5 3.451997+4 1.920000-5 3.298283+4 1.950000-5 3.191657+4 1.980000-5 3.105217+4 2.020000-5 3.017084+4 2.055000-5 2.961724+4 2.090000-5 2.923574+4 2.130000-5 2.897784+4 2.170000-5 2.887870+4 2.213095-5 2.891771+4 2.270000-5 2.915287+4 2.344229-5 2.969096+4 2.426610-5 3.049087+4 2.580000-5 3.225960+4 2.818383-5 3.508404+4 2.985383-5 3.682726+4 3.150000-5 3.825830+4 3.311311-5 3.936831+4 3.467369-5 4.016586+4 3.650000-5 4.077696+4 3.850000-5 4.109896+4 4.027170-5 4.110926+4 4.220000-5 4.086229+4 4.450000-5 4.028796+4 4.677351-5 3.946689+4 4.900000-5 3.847763+4 5.150000-5 3.722030+4 5.432503-5 3.565724+4 5.754399-5 3.378689+4 6.095369-5 3.177597+4 6.500000-5 2.943864+4 6.918310-5 2.714220+4 7.413102-5 2.463076+4 8.035261-5 2.181354+4 8.709636-5 1.918040+4 9.549926-5 1.642604+4 1.050000-4 1.389205+4 1.161449-4 1.152849+4 1.303167-4 9.240587+3 1.531087-4 6.716570+3 1.757924-4 5.079342+3 1.972423-4 3.996722+3 2.137962-4 3.354775+3 2.371374-4 2.658379+3 2.630268-4 2.090454+3 2.917427-4 1.631622+3 3.235937-4 1.263525+3 3.630781-4 9.435915+2 4.216965-4 6.394083+2 4.677351-4 4.854582+2 5.128614-4 3.776415+2 5.688529-4 2.824657+2 6.382635-4 2.030651+2 7.585776-4 1.226214+2 8.709636-4 8.128295+1 1.000000-3 5.348809+1 1.148154-3 3.497370+1 1.303167-3 2.351849+1 1.428894-3 1.752137+1 1.621810-3 1.159846+1 1.840772-3 7.622508+0 2.187762-3 4.260864+0 2.540973-3 2.553909+0 2.951209-3 1.519415+0 3.467369-3 8.618945-1 4.073803-3 4.850158-1 4.786301-3 2.707951-1 5.623413-3 1.500221-1 6.606934-3 8.249115-2 7.762471-3 4.503024-2 9.225714-3 2.335533-2 1.096478-2 1.202342-2 1.333521-2 5.619879-3 1.659587-2 2.382534-3 2.213095-2 7.632687-4 5.495409-2 2.044075-5 7.079458-2 7.503654-6 8.912509-2 3.040098-6 1.059254-1 1.554829-6 1.244515-1 8.377607-7 1.445440-1 4.753621-7 1.659587-1 2.837881-7 1.883649-1 1.781206-7 2.113489-1 1.174185-7 2.371374-1 7.794872-8 2.660725-1 5.213805-8 2.951209-1 3.655656-8 3.273407-1 2.581028-8 3.630781-1 1.835809-8 4.027170-1 1.315988-8 4.415705-1 9.856190-9 4.841724-1 7.432962-9 5.308844-1 5.647180-9 5.821032-1 4.322630-9 6.382635-1 3.333215-9 6.998420-1 2.589615-9 7.673615-1 2.027450-9 8.609938-1 1.502762-9 9.120108-1 1.301257-9 9.660509-1 1.134385-9 1.011579+0 1.022384-9 1.083927+0 8.81710-10 1.148154+0 7.84850-10 1.230269+0 6.87543-10 1.333521+0 5.93817-10 1.462177+0 5.06348-10 1.698244+0 3.93654-10 1.905461+0 3.26808-10 2.137962+0 2.73472-10 2.426610+0 2.26448-10 2.786121+0 1.85753-10 3.198895+0 1.53524-10 3.715352+0 1.25830-10 4.415704+0 1.00804-10 5.308844+0 8.02100-11 6.456542+0 6.34194-11 8.128305+0 4.85051-11 1.035142+1 3.69015-11 1.380384+1 2.68750-11 1.905461+1 1.89967-11 2.754229+1 1.28763-11 4.677351+1 7.44198-12 9.015711+1 3.81043-12 1.798871+2 1.89615-12 7.161434+2 4.73745-13 1.000000+5 3.38630-15 1 13000 7 0 2.698150+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 4.880000-6 4.880000-6 1.000000+5 4.880000-6 1 13000 7 9 2.698150+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.880000-6 0.0 1.000000+5 1.000000+5 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.870000-6 1.361433+7 5.308844-6 1.105917+7 5.623413-6 9.565229+6 6.000000-6 8.058604+6 6.350000-6 6.883937+6 6.700000-6 5.890196+6 7.079458-6 4.980787+6 7.413102-6 4.301351+6 7.762471-6 3.691422+6 8.128305-6 3.147465+6 8.511380-6 2.665243+6 8.912509-6 2.240487+6 9.332543-6 1.869040+6 9.772372-6 1.546784+6 1.020000-5 1.287761+6 1.060000-5 1.085634+6 1.100000-5 9.158805+5 1.150000-5 7.413870+5 1.202264-5 5.955464+5 1.258925-5 4.710282+5 1.318257-5 3.699880+5 1.396368-5 2.715672+5 1.515000-5 1.747048+5 1.570000-5 1.447554+5 1.621810-5 1.227813+5 1.659587-5 1.098597+5 1.698244-5 9.888817+4 1.737801-5 8.965972+4 1.771400-5 8.317346+4 1.800000-5 7.849737+4 1.830000-5 7.432470+4 1.862087-5 7.058857+4 1.885000-5 6.832737+4 1.920000-5 6.544723+4 1.950000-5 6.346370+4 1.980000-5 6.186936+4 2.020000-5 6.026563+4 2.055000-5 5.928050+4 2.104000-5 5.844462+4 2.150000-5 5.813156+4 2.199400-5 5.819914+4 2.250000-5 5.860810+4 2.317395-5 5.955060+4 2.400000-5 6.112870+4 2.540973-5 6.438659+4 2.800000-5 7.061270+4 2.951209-5 7.382863+4 3.090295-5 7.636627+4 3.235937-5 7.854795+4 3.402400-5 8.044919+4 3.570000-5 8.177271+4 3.758374-5 8.260008+4 3.950000-5 8.279937+4 4.168694-5 8.237504+4 4.365158-5 8.147178+4 4.570882-5 8.009471+4 4.800000-5 7.817937+4 5.011872-5 7.611024+4 5.308844-5 7.288251+4 5.623413-5 6.924153+4 5.956621-5 6.525920+4 6.309573-5 6.110148+4 6.683439-5 5.682899+4 7.161434-5 5.173500+4 7.762471-5 4.595000+4 8.317638-5 4.125071+4 9.015711-5 3.614747+4 9.885531-5 3.084471+4 1.096478-4 2.557680+4 1.216186-4 2.103290+4 1.380384-4 1.641941+4 1.621810-4 1.188870+4 1.840772-4 9.172232+3 2.018366-4 7.554408+3 2.238721-4 6.009278+3 2.483133-4 4.743136+3 2.754229-4 3.715443+3 3.054921-4 2.888426+3 3.388442-4 2.228099+3 3.801894-4 1.657901+3 4.365158-4 1.154376+3 4.841724-4 8.741449+2 5.308844-4 6.778932+2 5.956621-4 4.892418+2 6.839116-4 3.276710+2 8.035261-4 2.040303+2 9.015711-4 1.445352+2 1.096478-3 7.935682+1 1.244515-3 5.346078+1 1.380384-3 3.846873+1 1.566751-3 2.549728+1 1.778279-3 1.677230+1 2.065380-3 1.013835+1 2.398833-3 6.082648+0 2.786121-3 3.621337+0 3.311311-3 1.973869+0 3.890451-3 1.111474+0 4.570882-3 6.209400-1 5.308844-3 3.590593-1 6.237348-3 1.975505-1 7.328245-3 1.078710-1 8.609938-3 5.846552-2 1.023293-2 3.009551-2 1.230269-2 1.469871-2 1.500000-2 6.743609-3 1.883649-2 2.733761-3 2.454709-2 9.489693-4 3.548134-2 2.157316-4 5.956621-2 2.679429-5 7.673615-2 9.706853-6 9.332543-2 4.458891-6 1.122019-1 2.159329-6 1.303167-1 1.206428-6 1.500000-1 7.032800-7 1.698244-1 4.398501-7 1.905461-1 2.865876-7 2.137962-1 1.880986-7 2.371374-1 1.296845-7 2.600160-1 9.378529-8 2.851018-1 6.827873-8 3.126079-1 5.007103-8 3.427678-1 3.700548-8 3.715352-1 2.859226-8 4.027170-1 2.223501-8 4.365158-1 1.740707-8 4.731513-1 1.372332-8 5.128614-1 1.089908-8 5.559043-1 8.722329-9 6.025596-1 7.033240-9 6.531306-1 5.714754-9 7.079458-1 4.679255-9 7.585776-1 3.967253-9 8.222427-1 3.297310-9 8.912509-1 2.761235-9 9.660509-1 2.329157-9 1.096478+0 1.802731-9 1.216186+0 1.472604-9 1.333521+0 1.239077-9 1.462177+0 1.049709-9 1.603245+0 8.95615-10 1.778279+0 7.54840-10 2.000000+0 6.26830-10 2.264644+0 5.18920-10 2.570396+0 4.31053-10 2.951209+0 3.54713-10 3.427678+0 2.89560-10 4.027170+0 2.34567-10 4.786301+0 1.88557-10 5.754399+0 1.50538-10 7.079458+0 1.17776-10 8.810489+0 9.15526-11 1.122018+1 6.98201-11 1.496236+1 5.09445-11 2.187762+1 3.39417-11 3.090295+1 2.36369-11 5.011872+1 1.43451-11 1.000000+2 7.09860-12 1.995262+2 3.53483-12 7.943282+2 8.83654-13 1.000000+5 7.00690-15 1 13000 7 0 2.698150+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.870000-6 4.870000-6 1.000000+5 4.870000-6 1 13000 7 9 2.698150+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.870000-6 0.0 1.000000+5 1.000000+5 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 6.521130-9 1.028750+0 6.521130-8 1.036640+0 6.521130-7 1.039700+0 1.143360-6 1.041500+0 1.521230-6 1.043800+0 2.111510-6 1.046400+0 2.937780-6 1.048300+0 3.657610-6 1.051200+0 4.961470-6 1.054080+0 6.521130-6 1.057700+0 8.888670-6 1.061100+0 1.156190-5 1.065100+0 1.530650-5 1.070400+0 2.135390-5 1.076200+0 2.951080-5 1.080600+0 3.685420-5 1.087100+0 4.965520-5 1.093710+0 6.521130-5 1.102600+0 9.042070-5 1.110700+0 1.179360-4 1.120600+0 1.577810-4 1.133300+0 2.194050-4 1.147500+0 3.029750-4 1.158200+0 3.765350-4 1.174100+0 5.031680-4 1.190110+0 6.521130-4 1.205100+0 8.112730-4 1.227500+0 1.085280-3 1.250000+0 1.404000-3 1.281300+0 1.919250-3 1.308600+0 2.435860-3 1.332500+0 2.938220-3 1.374400+0 3.927670-3 1.405800+0 4.756090-3 1.452900+0 6.130130-3 1.500000+0 7.652000-3 1.562500+0 9.879900-3 1.617200+0 1.200560-2 1.712900+0 1.607290-2 1.784700+0 1.937300-2 1.892300+0 2.464430-2 2.000000+0 3.023000-2 2.044000+0 3.258000-2 2.163500+0 3.909030-2 2.372600+0 5.075370-2 2.647100+0 6.622380-2 3.000000+0 8.595000-2 3.437500+0 1.098110-1 4.000000+0 1.390000-1 4.750000+0 1.748100-1 5.000000+0 1.861000-1 6.000000+0 2.284000-1 7.000000+0 2.660000-1 8.000000+0 2.999000-1 9.000000+0 3.305000-1 1.000000+1 3.584000-1 1.100000+1 3.837000-1 1.200000+1 4.069000-1 1.300000+1 4.284000-1 1.400000+1 4.484000-1 1.500000+1 4.672000-1 1.600000+1 4.847000-1 1.800000+1 5.169000-1 2.000000+1 5.457000-1 2.200000+1 5.717000-1 2.400000+1 5.954000-1 2.600000+1 6.171000-1 2.800000+1 6.371000-1 3.000000+1 6.556000-1 4.000000+1 7.321000-1 5.000000+1 7.891000-1 6.000000+1 8.342000-1 8.000000+1 9.019000-1 1.000000+2 9.503000-1 1.500000+2 1.028000+0 2.000000+2 1.076000+0 3.000000+2 1.132000+0 4.000000+2 1.165000+0 5.000000+2 1.187000+0 6.000000+2 1.202000+0 8.000000+2 1.223000+0 1.000000+3 1.237000+0 1.500000+3 1.257000+0 2.000000+3 1.268000+0 3.000000+3 1.280000+0 4.000000+3 1.287000+0 5.000000+3 1.291000+0 6.000000+3 1.294000+0 8.000000+3 1.297000+0 1.000000+4 1.300000+0 1.500000+4 1.303000+0 2.000000+4 1.305000+0 3.000000+4 1.306000+0 4.000000+4 1.307000+0 5.000000+4 1.308000+0 6.000000+4 1.308000+0 8.000000+4 1.309000+0 1.000000+5 1.309000+0 1 13000 7 8 2.698150+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 13000 7 9 2.698150+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 1.305380-7 2.136250+0 1.305380-6 2.147000+0 1.789770-6 2.156900+0 2.324690-6 2.169000+0 3.102450-6 2.184500+0 4.312510-6 2.201800+0 5.966480-6 2.214800+0 7.433760-6 2.234200+0 9.999730-6 2.253680+0 1.305380-5 2.281500+0 1.828420-5 2.307000+0 2.401620-5 2.338200+0 3.229190-5 2.377400+0 4.472060-5 2.410200+0 5.687710-5 2.446800+0 7.235100-5 2.485900+0 9.109370-5 2.532900+0 1.165800-4 2.556430+0 1.305380-4 2.611900+0 1.664490-4 2.660400+0 2.012260-4 2.745300+0 2.693230-4 2.809000+0 3.261640-4 2.904500+0 4.201730-4 3.000000+0 5.245000-4 3.125000+0 6.763800-4 3.234400+0 8.230860-4 3.425800+0 1.108630-3 3.569300+0 1.344550-3 3.784700+0 1.728820-3 4.000000+0 2.142000-3 4.250000+0 2.647150-3 4.625000+0 3.441130-3 5.000000+0 4.267000-3 5.500000+0 5.402010-3 6.000000+0 6.554000-3 6.750000+0 8.270840-3 7.000000+0 8.836000-3 8.000000+0 1.105000-2 9.000000+0 1.318000-2 1.000000+1 1.520000-2 1.100000+1 1.712000-2 1.200000+1 1.893000-2 1.300000+1 2.065000-2 1.400000+1 2.228000-2 1.500000+1 2.383000-2 1.600000+1 2.531000-2 1.800000+1 2.806000-2 2.000000+1 3.057000-2 2.200000+1 3.288000-2 2.400000+1 3.501000-2 2.600000+1 3.699000-2 2.800000+1 3.883000-2 3.000000+1 4.056000-2 4.000000+1 4.778000-2 5.000000+1 5.337000-2 6.000000+1 5.788000-2 8.000000+1 6.479000-2 1.000000+2 6.993000-2 1.500000+2 7.864000-2 2.000000+2 8.426000-2 3.000000+2 9.134000-2 4.000000+2 9.572000-2 5.000000+2 9.878000-2 6.000000+2 1.011000-1 8.000000+2 1.043000-1 1.000000+3 1.064000-1 1.500000+3 1.097000-1 2.000000+3 1.116000-1 3.000000+3 1.137000-1 4.000000+3 1.149000-1 5.000000+3 1.157000-1 6.000000+3 1.162000-1 8.000000+3 1.169000-1 1.000000+4 1.174000-1 1.500000+4 1.180000-1 2.000000+4 1.184000-1 3.000000+4 1.188000-1 4.000000+4 1.190000-1 5.000000+4 1.191000-1 6.000000+4 1.192000-1 8.000000+4 1.193000-1 1.000000+5 1.194000-1 1 13000 7 8 2.698150+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 13000 7 9 2.698150+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 1.300000+1 1.000000+5 1.300000+1 5.000000+5 1.299200+1 8.750000+5 1.297940+1 1.000000+6 1.297400+1 1.500000+6 1.294500+1 1.875000+6 1.291390+1 2.000000+6 1.290300+1 2.500000+6 1.284900+1 3.000000+6 1.278500+1 3.500000+6 1.271040+1 4.000000+6 1.262800+1 4.500000+6 1.253700+1 5.000000+6 1.243900+1 5.500000+6 1.233240+1 6.000000+6 1.222110+1 6.156200+6 1.218420+1 6.718700+6 1.205180+1 7.000000+6 1.198400+1 7.687500+6 1.181400+1 8.437500+6 1.162350+1 8.500000+6 1.160780+1 9.000000+6 1.148100+1 9.750000+6 1.128790+1 1.000000+7 1.122500+1 1.062500+7 1.106680+1 1.156300+7 1.083470+1 1.187500+7 1.075830+1 1.250000+7 1.061000+1 1.359400+7 1.035730+1 1.500000+7 1.005400+1 1.625000+7 9.803430+0 1.750000+7 9.571100+0 2.000000+7 9.155200+0 2.500000+7 8.460600+0 2.875000+7 8.009980+0 3.000000+7 7.867400+0 3.343800+7 7.482960+0 3.578100+7 7.224880+0 3.750000+7 7.035340+0 3.859400+7 6.915780+0 4.000000+7 6.761700+0 4.343800+7 6.385900+0 4.718800+7 5.982000+0 4.750000+7 5.948980+0 5.000000+7 5.686400+0 5.250000+7 5.429040+0 5.625000+7 5.057050+0 5.750000+7 4.937280+0 6.000000+7 4.704900+0 6.437500+7 4.320740+0 6.750000+7 4.065770+0 7.000000+7 3.874200+0 7.750000+7 3.361630+0 8.000000+7 3.211500+0 8.750000+7 2.817820+0 9.000000+7 2.704100+0 1.000000+8 2.324800+0 1.085900+8 2.078390+0 1.125000+8 1.985740+0 1.144500+8 1.943330+0 1.214800+8 1.810250+0 1.250000+8 1.753700+0 1.312500+8 1.667510+0 1.406300+8 1.563560+0 1.500000+8 1.481200+0 2.000000+8 1.192400+0 2.125000+8 1.132660+0 2.406300+8 1.011100+0 2.500000+8 9.755000-1 2.671900+8 9.148790-1 2.789100+8 8.735830-1 2.894500+8 8.345210-1 3.000000+8 7.931000-1 3.500000+8 6.107000-1 3.625000+8 5.810610-1 3.859400+8 5.329040-1 3.953100+8 5.129570-1 4.000000+8 5.025000-1 4.062500+8 4.878780-1 4.179700+8 4.592120-1 4.282200+8 4.337980-1 4.450500+8 3.931500-1 5.000000+8 2.860000-1 5.250000+8 2.520920-1 5.625000+8 2.112250-1 5.812500+8 1.933840-1 6.000000+8 1.766000-1 6.562500+8 1.340270-1 6.718800+8 1.252400-1 6.859400+8 1.185530-1 7.000000+8 1.130000-1 7.125000+8 1.089630-1 7.343800+8 1.031880-1 7.630900+8 9.644660-2 7.815400+8 9.197200-2 7.953900+8 8.829700-2 8.000000+8 8.700000-2 8.125000+8 8.328710-2 8.297100+8 7.788720-2 8.455000+8 7.282410-2 8.648200+8 6.669430-2 8.891100+8 5.936860-2 8.965000+8 5.725620-2 1.000000+9 3.490000-2 1.031300+9 3.061730-2 1.060500+9 2.735350-2 1.100900+9 2.370370-2 1.137900+9 2.101690-2 1.162000+9 1.952340-2 1.500000+9 8.408100-3 1.562500+9 7.287080-3 1.617200+9 6.434160-3 1.712900+9 5.192410-3 1.784700+9 4.438200-3 2.000000+9 2.847700-3 2.375000+9 1.457810-3 3.031300+9 5.672540-4 5.000000+9 8.243500-5 8.000000+9 1.336500-5 1.00000+10 5.669800-6 1.20500+10 2.788470-6 1.41820+10 1.508110-6 1.71110+10 7.472820-7 2.01380+10 4.085670-7 2.41190+10 2.105250-7 2.88610+10 1.094860-7 3.54590+10 5.209690-8 4.35270+10 2.505420-8 5.36740+10 1.194630-8 6.21670+10 7.141400-9 7.56790+10 3.606750-9 9.18930+10 1.849650-9 1.00000+11 1.385600-9 1.26840+11 6.18983-10 1.58400+11 2.93903-10 2.07460+11 1.20185-10 2.55250+11 6.09032-11 3.65300+11 1.90709-11 5.05370+11 6.76273-12 6.79130+11 2.66088-12 1.10080+12 5.91745-13 2.24960+12 6.67097-14 5.80870+12 3.91303-15 2.41010+13 6.03008-17 1.00000+14 9.52300-19 5.62340+14 5.85586-21 5.42470+15 6.68476-24 1.00000+17 1.01300-27 1 13000 7 0 2.698150+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 3.90000-12 1.000000+2 3.90000-10 1.000000+3 3.900000-8 1.000000+4 3.900000-6 1.000000+5 3.900000-4 5.000000+5 9.750000-3 8.750000+5 2.985938-2 1.000000+6 3.900000-2 1.500000+6 8.710000-2 1.875000+6 1.349330-1 2.000000+6 1.530000-1 2.500000+6 2.353000-1 3.000000+6 3.325000-1 3.500000+6 4.428300-1 4.000000+6 5.642000-1 4.500000+6 6.945210-1 5.000000+6 8.320000-1 5.500000+6 9.748850-1 6.000000+6 1.121480+0 6.156200+6 1.167840+0 6.718700+6 1.335360+0 7.000000+6 1.419200+0 7.687500+6 1.622310+0 8.437500+6 1.838920+0 8.500000+6 1.856710+0 9.000000+6 1.996700+0 9.750000+6 2.198720+0 1.000000+7 2.264000+0 1.062500+7 2.421730+0 1.156300+7 2.644810+0 1.187500+7 2.715200+0 1.250000+7 2.850800+0 1.359400+7 3.070330+0 1.500000+7 3.324000+0 1.625000+7 3.526710+0 1.750000+7 3.712300+0 2.000000+7 4.047000+0 2.500000+7 4.653400+0 2.875000+7 5.100490+0 3.000000+7 5.250000+0 3.343800+7 5.662460+0 3.578100+7 5.942320+0 3.750000+7 6.144960+0 3.859400+7 6.272540+0 4.000000+7 6.435000+0 4.343800+7 6.823810+0 4.718800+7 7.230540+0 4.750000+7 7.263640+0 5.000000+7 7.523000+0 5.250000+7 7.772470+0 5.625000+7 8.127030+0 5.750000+7 8.240220+0 6.000000+7 8.459000+0 6.437500+7 8.814800+0 6.750000+7 9.048350+0 7.000000+7 9.225000+0 7.750000+7 9.692280+0 8.000000+7 9.830000+0 8.750000+7 1.019060+1 9.000000+7 1.029600+1 1.000000+8 1.065200+1 1.085900+8 1.089060+1 1.125000+8 1.098370+1 1.144500+8 1.102740+1 1.214800+8 1.116890+1 1.250000+8 1.123300+1 1.312500+8 1.133610+1 1.406300+8 1.147170+1 1.500000+8 1.159200+1 2.000000+8 1.208300+1 2.125000+8 1.217910+1 2.406300+8 1.237040+1 2.500000+8 1.242500+1 2.671900+8 1.251370+1 2.789100+8 1.256790+1 2.894500+8 1.261120+1 3.000000+8 1.265200+1 3.500000+8 1.279400+1 3.625000+8 1.281850+1 3.859400+8 1.285850+1 3.953100+8 1.287230+1 4.000000+8 1.287900+1 4.062500+8 1.288620+1 4.179700+8 1.289930+1 4.282200+8 1.290970+1 4.450500+8 1.292340+1 5.000000+8 1.295700+1 5.250000+8 1.296570+1 5.625000+8 1.297660+1 5.812500+8 1.298040+1 6.000000+8 1.298400+1 6.562500+8 1.298920+1 6.718800+8 1.299060+1 6.859400+8 1.299180+1 7.000000+8 1.299300+1 7.125000+8 1.299350+1 7.343800+8 1.299440+1 7.630900+8 1.299560+1 7.815400+8 1.299630+1 7.953900+8 1.299680+1 8.000000+8 1.299700+1 8.125000+8 1.299710+1 8.297100+8 1.299730+1 8.455000+8 1.299750+1 8.648200+8 1.299770+1 8.891100+8 1.299790+1 8.965000+8 1.299800+1 1.000000+9 1.299900+1 1.031300+9 1.299910+1 1.060500+9 1.299910+1 1.100900+9 1.299920+1 1.137900+9 1.299930+1 1.162000+9 1.299940+1 1.500000+9 1.300000+1 1.562500+9 1.300000+1 1.617200+9 1.300000+1 1.712900+9 1.300000+1 1.784700+9 1.300000+1 2.000000+9 1.300000+1 2.375000+9 1.300000+1 3.031300+9 1.300000+1 5.000000+9 1.300000+1 8.000000+9 1.300000+1 1.00000+10 1.300000+1 1.20500+10 1.300000+1 1.41820+10 1.300000+1 1.71110+10 1.300000+1 2.01380+10 1.300000+1 2.41190+10 1.300000+1 2.88610+10 1.300000+1 3.54590+10 1.300000+1 4.35270+10 1.300000+1 5.36740+10 1.300000+1 6.21670+10 1.300000+1 7.56790+10 1.300000+1 9.18930+10 1.300000+1 1.00000+11 1.300000+1 1.26840+11 1.300000+1 1.58400+11 1.300000+1 2.07460+11 1.300000+1 2.55250+11 1.300000+1 3.65300+11 1.300000+1 5.05370+11 1.300000+1 6.79130+11 1.300000+1 1.10080+12 1.300000+1 2.24960+12 1.300000+1 5.80870+12 1.300000+1 2.41010+13 1.300000+1 1.00000+14 1.300000+1 5.62340+14 1.300000+1 5.42470+15 1.300000+1 1.00000+17 1.300000+1 1 13000 7 0 2.698150+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.178450-6 0.0 2.186493-6 3.260436-1 2.189174-6 4.333462-1 2.194536-6 7.915422-1 2.195969-6 9.364163-1 2.199898-6 1.413576+0 2.205260-6 2.262419+0 2.213330-6 3.922891+0 2.221346-6 5.765089+0 2.227043-6 6.861939+0 2.232562-6 7.546189+0 2.238330-6 7.720960+0 2.243811-6 7.366815+0 2.250991-6 6.322895+0 2.261906-6 4.037671+0 2.264242-6 3.527029+0 2.269604-6 2.510405+0 2.274966-6 1.680875+0 2.277045-6 1.420149+0 2.282451-6 8.197754-1 2.285690-6 5.166287-1 2.287856-6 4.061248-1 2.293261-6 2.234126-1 2.298666-6 1.134514-1 2.304071-6 0.0 2.977961-6 0.0 2.980792-6 5.998650-8 2.992621-6 5.550899-7 2.995480-6 7.134703-7 2.998310-6 9.091977-7 2.999951-6 1.056933-6 3.002853-6 1.371026-6 3.007281-6 1.927132-6 3.010226-6 2.354722-6 3.014611-6 3.094283-6 3.020450-6 4.271270-6 3.039718-6 8.918244-6 3.047091-6 1.035167-5 3.054464-6 1.118425-5 3.061837-6 1.125865-5 3.069210-6 1.056928-5 3.076583-6 9.260600-6 3.098181-6 4.244494-6 3.102569-6 3.372491-6 3.106075-6 2.765057-6 3.109899-6 2.173436-6 3.113448-6 1.725220-6 3.117229-6 1.307663-6 3.123770-6 6.752143-7 3.124559-6 6.127288-7 3.127528-6 4.433014-7 3.131150-6 3.162410-7 3.142940-6 6.471182-8 3.145910-6 0.0 3.235278-6 0.0 3.235307-6 2.718917-4 3.250238-6 1.375853+0 3.251234-6 1.466727+0 3.252826-6 1.709927+0 3.259197-6 2.972858+0 3.267160-6 5.170411+0 3.275124-6 8.232216+0 3.287729-6 1.465804+1 3.300864-6 2.191603+1 3.309250-6 2.549048+1 3.316229-6 2.719534+1 3.323938-6 2.734338+1 3.333625-6 2.508904+1 3.343275-6 2.068537+1 3.362720-6 1.020076+1 3.370683-6 6.767880+0 3.378646-6 4.187473+0 3.380929-6 3.612517+0 3.388935-6 1.920466+0 3.394573-6 9.372631-1 3.396941-6 7.549276-1 3.404948-6 3.826140-1 3.412923-6 2.15970-15 3.412954-6 0.0 3.519990-6 0.0 3.537509-6 5.043506-2 3.546216-6 1.046717-1 3.554923-6 1.800427-1 3.563630-6 2.865340-1 3.573426-6 4.411966-1 3.589751-6 7.284187-1 3.599003-6 8.587213-1 3.607710-6 9.294730-1 3.616417-6 9.340618-1 3.626145-6 8.585546-1 3.634376-6 7.465819-1 3.655055-6 3.953401-1 3.659409-6 3.251502-1 3.668116-6 2.111505-1 3.675942-6 1.343707-1 3.685530-6 7.015367-2 3.693270-6 2.808495-2 3.694237-6 2.574210-2 3.704271-6 1.108464-2 3.711651-6 0.0 3.895527-6 0.0 3.895536-6 2.290383-5 3.913055-6 4.081981-1 3.914713-6 4.657751-1 3.924301-6 9.462285-1 3.933890-6 1.627249+0 3.943478-6 2.590399+0 3.957886-6 4.506798+0 3.973776-6 6.780635+0 3.983959-6 7.892588+0 3.992300-6 8.426373+0 4.002507-6 8.413853+0 4.012151-6 7.784955+0 4.025274-6 6.217606+0 4.047430-6 3.145493+0 4.050149-6 2.819544+0 4.059138-6 1.888428+0 4.068127-6 1.205635+0 4.077094-6 7.632952-1 4.086422-6 3.954714-1 4.087304-6 3.679096-1 4.105685-6 2.451888-1 4.116747-6 2.946541-1 4.127570-6 3.204448-1 4.137483-6 3.208670-1 4.147726-6 2.969491-1 4.158878-6 2.491889-1 4.181183-6 1.341389-1 4.186139-6 1.100190-1 4.196053-6 7.107834-2 4.203487-6 4.929985-2 4.205966-6 6.631733-2 4.221005-6 1.814211-1 4.224261-6 2.225953-1 4.234526-6 4.256940-1 4.244174-6 7.023602-1 4.255218-6 1.152394+0 4.268151-6 1.850305+0 4.286257-6 2.927927+0 4.297897-6 3.468839+0 4.306950-6 3.731130+0 4.318246-6 3.745315+0 4.329317-6 3.463141+0 4.340590-6 2.945158+0 4.361511-6 1.789117+0 4.371712-6 1.286883+0 4.380302-6 9.775896-1 4.388739-6 7.544337-1 4.393215-6 6.826945-1 4.402994-6 5.799132-1 4.410413-6 5.488094-1 4.415097-6 5.984252-1 4.424510-6 7.324817-1 4.431443-6 8.780248-1 4.465865-6 1.827454+0 4.478300-6 2.044835+0 4.490415-6 2.084845+0 4.500947-6 2.008777+0 4.533057-6 1.492273+0 4.544106-6 1.397303+0 4.557935-6 1.388417+0 4.599634-6 1.561064+0 4.802568-6 1.428387+0 4.846484-6 1.364425+0 5.025847-6 1.364074+0 5.153571-6 1.318681+0 5.171090-6 3.236770+0 5.178941-6 5.817392+0 5.191626-6 1.087249+1 5.196546-6 1.328305+1 5.204311-6 1.821429+1 5.209274-6 2.186674+1 5.222002-6 3.402367+1 5.236321-6 5.174822+1 5.260186-6 8.478757+1 5.274082-6 9.999038+1 5.287068-6 1.077334+2 5.299808-6 1.074621+2 5.312266-6 9.968170+1 5.327608-6 8.197197+1 5.349282-6 5.188357+1 5.362010-6 3.583553+1 5.373357-6 2.440976+1 5.374849-6 2.301664+1 5.384682-6 1.588616+1 5.387466-6 1.401220+1 5.400194-6 7.834180+0 5.407269-6 5.433741+0 5.425650-6 1.224259+0 6.500817-6 9.015783-1 7.458080-6 6.785088-1 8.151882-6 5.506392-1 8.192011-6 6.455269-1 8.212076-6 7.270026-1 8.232141-6 8.515402-1 8.252206-6 1.022009+0 8.309524-6 1.624392+0 8.332465-6 1.789403+0 8.352530-6 1.836298+0 8.372595-6 1.779971+0 8.396963-6 1.586316+0 8.452854-6 9.838578-1 8.472919-6 8.082206-1 8.492984-6 6.785853-1 8.513049-6 5.917886-1 8.553178-6 4.837449-1 8.977364-6 4.225712-1 9.043654-6 4.423709-1 9.088943-6 4.844319-1 9.153062-6 5.728168-1 9.178208-6 5.943241-1 9.200525-6 5.982911-1 9.222841-6 5.860201-1 9.267569-6 5.243859-1 9.330910-6 4.263873-1 9.375103-6 3.925203-1 9.424898-6 3.811348-1 9.542490-6 4.162553-1 9.589350-6 4.126000-1 9.700562-6 3.757902-1 1.021570-5 3.040915-1 1.090747-5 2.317092-1 1.145687-5 1.886842-1 1.209500-5 1.516483-1 1.259998-5 1.301638-1 1.320498-5 1.114524-1 1.387011-5 9.776595-2 1.471069-5 8.836479-2 1.559538-5 8.485885-2 1.666814-5 8.693414-2 1.800000-5 9.539427-2 2.055000-5 1.199317-1 2.630268-5 1.795153-1 3.112518-5 2.189584-1 3.672823-5 2.510922-1 4.480089-5 2.756043-1 5.510650-5 2.813051-1 7.579964-5 2.584133-1 7.621438-5 2.578007-1 7.658956-5 2.918818-1 7.677716-5 3.243981-1 7.696475-5 3.760723-1 7.715234-5 4.463135-1 7.729769-5 5.166770-1 7.798358-5 9.417133-1 7.819629-5 1.058368+0 7.924359-5 1.471345+0 8.019386-5 1.990414+0 8.198794-5 3.163823+0 8.450000-5 4.815764+0 8.660770-5 5.889205+0 8.875000-5 6.646106+0 9.230000-5 7.398948+0 1.017743-4 8.410873+0 1.116351-4 9.187216+0 1.125059-4 9.818830+0 1.139368-4 1.209678+1 1.144858-4 1.209933+1 1.158573-4 1.022615+1 1.166129-4 1.003498+1 1.187109-4 1.037940+1 1.339130-4 1.021189+1 2.200392-4 6.731447+0 2.636706-4 5.433568+0 3.072000-4 4.471228+0 3.518143-4 3.725461+0 4.123385-4 2.984207+0 4.667436-4 2.492735+0 5.252738-4 2.090751+0 6.060382-4 1.682059+0 6.780474-4 1.412750+0 7.647862-4 1.168612+0 8.649766-4 9.595182-1 9.728423-4 7.928193-1 1.104187-3 6.437361-1 1.268648-3 5.108276-1 1.443026-3 4.108027-1 1.507954-3 3.833284-1 1.512939-3 4.387159-1 1.515481-3 4.770247-1 1.519089-3 5.621621-1 1.522923-3 7.117872-1 1.526733-3 9.375104-1 1.530772-3 1.273326+0 1.534557-3 1.659441+0 1.546595-3 3.109077+0 1.551535-3 3.572430+0 1.556491-3 3.889223+0 1.563372-3 4.101899+0 1.578202-3 4.134412+0 1.880940-3 3.180142+0 2.140790-3 2.605681+0 2.422031-3 2.148022+0 2.785025-3 1.710799+0 3.154767-3 1.389629+0 3.581759-3 1.117090+0 4.040231-3 9.048990-1 4.591125-3 7.190596-1 5.142961-3 5.848603-1 5.689946-3 4.853237-1 6.320136-3 3.983849-1 7.036046-3 3.250343-1 7.846708-3 2.635089-1 8.679137-3 2.166168-1 9.516484-3 1.807798-1 1.057017-2 1.467364-1 1.178629-2 1.180167-1 1.302353-2 9.639528-2 1.414193-2 8.149094-2 1.579775-2 6.489363-2 1.747046-2 5.269361-2 1.922605-2 4.313167-2 2.110777-2 3.545814-2 2.362926-2 2.794249-2 2.580961-2 2.313549-2 2.845943-2 1.877760-2 3.174807-2 1.483044-2 3.477447-2 1.217900-2 3.851224-2 9.758541-3 4.284252-2 7.727266-3 4.749777-2 6.161089-3 5.288352-2 4.864615-3 5.741285-2 4.054751-3 6.339126-2 3.255632-3 6.998865-2 2.613297-3 7.723297-2 2.097958-3 8.541046-2 1.676560-3 9.275637-2 1.395182-3 1.016834-1 1.136796-3 1.125983-1 9.056379-4 1.223001-1 7.539431-4 1.338631-1 6.173811-4 1.487673-1 4.890396-4 1.630140-1 3.999354-4 1.785932-1 3.280258-4 1.935168-1 2.755604-4 2.104384-1 2.305243-4 2.293322-1 1.920377-4 2.490515-1 1.616581-4 2.704153-1 1.364065-4 3.023213-1 1.089007-4 3.388442-1 8.699940-5 3.753159-1 7.161746-5 4.171695-1 5.897697-5 4.572849-1 5.015330-5 5.040806-1 4.256126-5 5.559043-1 3.636805-5 6.110226-1 3.149334-5 6.918310-1 2.636753-5 7.829788-1 2.239533-5 8.951071-1 1.910188-5 1.022000+0 1.658596-5 1.228714+0 1.381008-5 1.477239+0 1.149879-5 1.776032+0 9.574321-6 2.135261+0 7.971936-6 2.567148+0 6.637730-6 3.086391+0 5.526821-6 3.710658+0 4.601837-6 4.461192+0 3.831661-6 5.363532+0 3.190384-6 6.448384+0 2.656432-6 7.752663+0 2.211844-6 9.320751+0 1.841664-6 9.760024+0 1.759237-6 1.000000+1 3.429943-6 1 13000 7 0 2.698150+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-1.287167+1 1.876385-6-1.230126+1 2.083917-6-1.166946+1 2.147862-6-1.095850+1 2.174107-6-1.013168+1 2.194536-6-8.562002+0 2.201741-6-7.921805+0 2.208776-6-7.607473+0 2.214332-6-7.685336+0 2.220606-6-8.273338+0 2.227043-6-9.511818+0 2.237095-6-1.220160+1 2.239763-6-1.300309+1 2.251545-6-1.030556+1 2.258704-6-9.361170+0 2.264242-6-9.104356+0 2.273625-6-9.350425+0 2.287856-6-1.049306+1 2.309973-6-1.181679+1 2.350519-6-1.267934+1 2.400577-6-1.301663+1 2.926740-6-1.110651+1 3.061837-6-1.006532+1 3.131150-6-9.012478+0 3.175141-6-7.814870+0 3.200027-6-6.699784+0 3.217197-6-5.525910+0 3.227650-6-4.478509+0 3.233848-6-3.586400+0 3.236302-6-3.051888+0 3.247252-6-1.215338+0 3.249243-6-8.441226-1 3.250238-6-6.387654-1 3.251234-6-3.996897-1 3.252826-6 8.154094-4 3.259197-6 1.389278+0 3.268156-6 3.200418+0 3.269898-6 3.487487+0 3.276340-6 4.379670+0 3.280064-6 4.560929+0 3.285852-6 4.418198+0 3.289371-6 4.006724+0 3.292065-6 3.506792+0 3.294264-6 2.982524+0 3.295914-6 2.516314+0 3.297152-6 2.121373+0 3.299008-6 1.443331+0 3.299936-6 1.054470+0 3.300400-6 8.410040-1 3.300864-6 5.979369-1 3.304868-6-1.366509+0 3.305868-6-1.881317+0 3.308120-6-3.156981+0 3.314140-6-7.178008+0 3.317063-6-9.454229+0 3.322326-6-1.315607+1 3.325014-6-1.099558+1 3.332724-6-6.078790+0 3.333625-6-5.411144+0 3.335329-6-4.398491+0 3.336721-6-3.657711+0 3.341397-6-1.338830+0 3.342366-6-9.104029-1 3.343275-6-5.485506-1 3.344980-6 5.663268-2 3.346471-6 5.214969-1 3.347776-6 8.846251-1 3.350059-6 1.429933+0 3.351772-6 1.767198+0 3.353056-6 1.980462+0 3.354983-6 2.235012+0 3.356909-6 2.397897+0 3.358362-6 2.468075+0 3.360541-6 2.508970+0 3.361630-6 2.483803+0 3.366701-6 2.075733+0 3.368692-6 1.876781+0 3.369688-6 1.744595+0 3.371678-6 1.361420+0 3.375162-6 8.281776-1 3.376904-6 5.431800-1 3.377775-6 3.828112-1 3.380929-6-3.094629-1 3.388935-6-1.831922+0 3.393868-6-2.889194+0 3.395165-6-3.254519+0 3.397942-6-3.891650+0 3.404948-6-5.051456+0 3.417083-6-6.770929+0 3.429356-6-7.923204+0 3.452095-6-9.307487+0 3.487197-6-1.064239+1 3.569480-6-1.263648+1 3.606145-6-1.269038+1 3.649163-6-1.244921+1 3.704271-6-1.324182+1 3.854265-6-1.126029+1 3.889787-6-1.029918+1 3.924301-6-8.426803+0 3.944844-6-7.405280+0 3.957886-6-7.385164+0 3.968644-6-7.937838+0 3.979830-6-9.196658+0 3.992300-6-1.130493+1 4.003209-6-1.332557+1 4.015891-6-1.129801+1 4.028435-6-1.002982+1 4.040828-6-9.561146+0 4.054344-6-9.856706+0 4.101815-6-1.249900+1 4.130914-6-1.337323+1 4.202557-6-1.190042+1 4.258775-6-1.013615+1 4.278952-6-1.012001+1 4.297897-6-1.085814+1 4.338151-6-1.321983+1 4.356450-6-1.345219+1 4.377344-6-1.314224+1 4.433280-6-1.115388+1 4.460833-6-1.094241+1 4.514151-6-1.171441+1 4.599634-6-1.099312+1 4.809897-6-1.003630+1 4.856435-6-9.747267+0 4.887904-6-8.990257+0 4.924053-6-7.486750+0 4.977233-6-4.815120+0 5.008249-6-3.070096+0 5.025847-6-1.953494+0 5.033829-6-1.403835+0 5.041313-6-8.592333-1 5.048329-6-3.196251-1 5.054907-6 2.148361-1 5.061074-6 7.438642-1 5.072636-6 1.819436+0 5.082753-6 2.865907+0 5.091605-6 3.878741+0 5.106128-6 5.786616+0 5.121788-6 8.305379+0 5.132714-6 1.047001+1 5.144772-6 1.346626+1 5.152820-6 1.613618+1 5.169402-6 2.305228+1 5.178941-6 2.812416+1 5.209274-6 4.306752+1 5.223593-6 4.824373+1 5.236321-6 4.897531+1 5.246197-6 4.593820+1 5.255760-6 3.965192+1 5.260186-6 3.519715+1 5.269334-6 2.416874+1 5.272467-6 1.948656+1 5.274082-6 1.656869+1 5.281307-6 5.226311+0 5.283204-6 2.030381+0 5.283813-6 9.465086-1 5.284270-6 1.063593-1 5.284956-6-1.218312+0 5.285471-6-2.307749+0 5.285741-6-2.991383+0 5.286327-6-4.252885+0 5.287775-6-7.007194+0 5.289640-6-1.031201+1 5.294005-6-8.768791+0 5.296528-6-4.256841+0 5.297334-6-2.714365+0 5.297852-6-1.662199+0 5.298111-6-1.101284+0 5.298241-6-8.031642-1 5.298469-6-2.080106-1 5.298667-6 2.459600-1 5.299055-6 1.067430+0 5.299808-6 2.540304+0 5.300514-6 3.843492+0 5.313711-6 2.586964+1 5.324621-6 4.008733+1 5.332688-6 4.757858+1 5.343156-6 5.332044+1 5.349282-6 5.475061+1 5.360419-6 5.462294+1 5.374849-6 4.951395+1 5.409566-6 3.220452+1 5.425650-6 2.503187+1 5.433156-6 2.177660+1 5.444363-6 1.847178+1 5.455511-6 1.594729+1 5.470280-6 1.330255+1 5.492216-6 1.030651+1 5.513897-6 8.050160+0 5.535352-6 6.275876+0 5.549526-6 5.287089+0 5.563588-6 4.419798+0 5.577541-6 3.652302+0 5.591385-6 2.967498+0 5.605120-6 2.352737+0 5.618749-6 1.797795+0 5.632270-6 1.293851+0 5.645687-6 8.343230-1 5.658998-6 4.136996-1 5.672205-6 2.723493-2 5.698414-6-6.611068-1 5.724213-6-1.253860+0 5.749608-6-1.769366+0 5.774607-6-2.222206+0 5.823439-6-2.979911+0 5.893863-6-3.849070+0 5.983422-6-4.692566+0 6.112938-6-5.576904+0 6.290945-6-6.415820+0 6.531801-6-7.159966+0 6.990032-6-7.993724+0 8.129585-6-9.219102+0 8.265640-6-9.698425+0 8.326730-6-9.294809+0 8.404495-6-8.318334+0 8.462887-6-8.207358+0 8.613310-6-8.742049+0 9.153062-6-9.205011+0 9.353006-6-9.106092+0 1.259998-5-9.779768+0 2.055000-5-1.032749+1 5.060177-5-1.131214+1 6.486904-5-1.247052+1 7.289238-5-1.385500+1 7.621438-5-1.505589+1 7.819629-5-1.618917+1 8.198794-5-1.726175+1 8.550364-5-1.687586+1 9.465127-5-1.434854+1 1.057713-4-1.261886+1 1.105779-4-1.239803+1 1.122597-4-1.306258+1 1.131093-4-1.323102+1 1.136382-4-1.264846+1 1.147942-4-1.015370+1 1.153674-4-9.700514+0 1.172049-4-1.041485+1 1.309492-4-7.926841+0 1.408478-4-6.573783+0 1.529487-4-5.345543+0 1.658393-4-4.363988+0 1.768336-4-3.706189+0 1.909579-4-3.043631+0 2.024179-4-2.632806+0 2.200392-4-2.165148+0 2.377178-4-1.842557+0 2.636706-4-1.489561+0 2.826506-4-1.288295+0 3.072000-4-1.108517+0 3.335224-4-9.823749-1 3.518143-4-9.214469-1 3.944715-4-8.421827-1 4.439824-4-8.160734-1 5.039531-4-8.342513-1 6.317523-4-9.520598-1 9.015711-4-1.299578+0 1.104187-3-1.638169+0 1.230393-3-1.934553+0 1.329689-3-2.276937+0 1.401401-3-2.658558+0 1.443026-3-2.993241+0 1.481904-3-3.481507+0 1.505215-3-3.975123+0 1.519089-3-4.481100+0 1.535719-3-5.503174+0 1.545618-3-5.995948+0 1.553363-3-5.986990+0 1.563372-3-5.454920+0 1.578202-3-4.426936+0 1.589574-3-3.872045+0 1.605265-3-3.365487+0 1.627810-3-2.867435+0 1.658926-3-2.381890+0 1.694048-3-1.983818+0 1.737866-3-1.614373+0 1.791758-3-1.276534+0 1.852582-3-9.954308-1 1.920455-3-7.502298-1 1.978093-3-5.840653-1 2.040078-3-4.385237-1 2.087987-3-3.435957-1 2.140790-3-2.520733-1 2.205754-3-1.563015-1 2.238721-3-1.127580-1 2.304093-3-3.682541-2 2.373507-3 3.155084-2 2.422031-3 7.179511-2 2.482296-3 1.170384-1 2.570395-3 1.754650-1 2.646524-3 2.153735-1 2.785025-3 2.702983-1 2.925277-3 3.104163-1 3.154767-3 3.547390-1 3.420287-3 3.809548-1 3.757103-3 3.908607-1 4.417905-3 3.769390-1 7.036046-3 2.530303-1 8.406115-3 2.037926-1 9.885531-3 1.636878-1 1.147437-2 1.316476-1 1.334058-2 1.040368-1 1.535835-2 8.228448-2 1.747046-2 6.542023-2 1.986798-2 5.130205-2 2.213095-2 4.121290-2 2.436253-2 3.348261-2 2.668394-2 2.707677-2 2.921543-2 2.151677-2 3.174807-2 1.705912-2 3.477447-2 1.274358-2 3.776618-2 9.337982-3 4.030484-2 6.964854-3 4.284252-2 4.947079-3 4.536274-2 3.232131-3 4.749777-2 1.971158-3 4.945607-2 9.381880-4 5.034610-2 5.030988-4 5.169369-2-1.113510-4 5.288352-2-6.215413-4 5.397532-2-1.064760-3 5.627248-2-1.922486-3 5.902223-2-2.830890-3 6.339126-2-4.060350-3 6.809705-2-5.151982-3 7.519714-2-6.453846-3 8.541046-2-7.829014-3 9.915924-2-9.091952-3 1.223001-1-1.038496-2 1.630140-1-1.154872-2 2.349430-1-1.236001-2 4.316244-1-1.289016-2 1.347258+0-1.309040-2 4.068655+0-1.311079-2 1.000000+1-1.311201-2 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.962280-3 1.110507-6 3.041141-3 1.200000-6 4.254336-3 1.255964-6 5.151309-3 1.295213-6 5.873125-3 1.335688-6 6.710589-3 1.377428-6 7.683500-3 1.420473-6 8.815295-3 1.464863-6 1.013946-2 1.606530-6 1.536582-2 1.761898-6 2.355779-2 1.816957-6 2.725073-2 1.972356-6 4.054919-2 2.020953-6 4.575292-2 2.068031-6 5.142906-2 2.200620-6 7.100709-2 2.283547-6 8.658210-2 2.361290-6 1.040903-1 2.434175-6 1.237206-1 2.502505-6 1.455052-1 2.566563-6 1.696207-1 2.626619-6 1.959914-1 2.682920-6 2.248954-1 2.735703-6 2.563561-1 2.785187-6 2.903751-1 2.831578-6 3.272230-1 2.875070-6 3.669972-1 2.915844-6 4.096629-1 2.954069-6 4.553819-1 2.989905-6 5.044066-1 3.023501-6 5.569129-1 3.054998-6 6.130044-1 3.084526-6 6.727693-1 3.112208-6 7.364342-1 3.138161-6 8.042479-1 3.168739-6 8.961152-1 3.185301-6 9.523375-1 3.206685-6 1.033195+0 3.226733-6 1.119052+0 3.245527-6 1.210045+0 3.266216-6 1.324281+0 3.279666-6 1.408009+0 3.295152-6 1.515498+0 3.309670-6 1.629049+0 3.323281-6 1.748917+0 3.336042-6 1.875343+0 3.348005-6 2.008581+0 3.360646-6 2.167961+0 3.369734-6 2.296573+0 3.379591-6 2.451853+0 3.388832-6 2.614975+0 3.397495-6 2.786168+0 3.413739-6 3.167138+0 3.427953-6 3.586868+0 3.440389-6 4.049945+0 3.452126-6 4.607891+0 3.460793-6 5.128919+0 3.469125-6 5.752686+0 3.476415-6 6.431098+0 3.482794-6 7.156382+0 3.488376-6 7.916310+0 3.493259-6 8.696026+0 3.497533-6 9.480012+0 3.501272-6 1.025372+1 3.504544-6 1.100465+1 3.510269-6 1.250201+1 3.517784-6 1.486228+1 3.530431-6 1.998039+1 3.536129-6 2.278628+1 3.543726-6 2.700111+1 3.546982-6 2.896117+1 3.553493-6 3.311797+1 3.562774-6 3.943255+1 3.565856-6 4.158059+1 3.572838-6 4.641929+1 3.577634-6 4.963908+1 3.580512-6 5.149629+1 3.584622-6 5.401593+1 3.589239-6 5.660830+1 3.593094-6 5.853928+1 3.596812-6 6.016667+1 3.602436-6 6.213247+1 3.606821-6 6.320878+1 3.611480-6 6.388225+1 3.615865-6 6.405705+1 3.617391-6 6.401211+1 3.622891-6 6.339956+1 3.626872-6 6.252525+1 3.631783-6 6.097399+1 3.635718-6 5.938012+1 3.642705-6 5.587370+1 3.646096-6 5.390449+1 3.650670-6 5.102543+1 3.654721-6 4.830444+1 3.657882-6 4.609735+1 3.662401-6 4.285773+1 3.666031-6 4.021492+1 3.669919-6 3.737898+1 3.673765-6 3.459663+1 3.679388-6 3.062454+1 3.683729-6 2.767576+1 3.685078-6 2.678543+1 3.689798-6 2.377948+1 3.694519-6 2.096259+1 3.699450-6 1.824050+1 3.703289-6 1.628453+1 3.706303-6 1.485057+1 3.713155-6 1.192457+1 3.715073-6 1.118676+1 3.721925-6 8.830283+0 3.726721-6 7.425831+0 3.729598-6 6.673192+0 3.733983-6 5.647047+0 3.739007-6 4.636149+0 3.744101-6 3.771935+0 3.749158-6 3.054936+0 3.754176-6 2.464085+0 3.759155-6 1.979953+0 3.764094-6 1.585319+0 3.768996-6 1.265168+0 3.771432-6 1.128911+0 3.776285-6 8.964778-1 3.781101-6 7.099827-1 3.785879-6 5.609427-1 3.790620-6 4.423144-1 3.795323-6 3.482868-1 3.804620-6 2.158256-1 3.809215-6 1.703122-1 3.813773-6 1.349616-1 3.818296-6 1.076698-1 3.822783-6 8.672836-2 3.825009-6 7.821109-2 3.827227-6 7.078027-2 3.829436-6 6.430471-2 3.831636-6 5.866677-2 3.833827-6 5.376113-2 3.838185-6 4.578064-2 3.842508-6 3.972840-2 3.847862-6 3.413106-2 3.849988-6 3.235078-2 3.855794-6 2.841914-2 3.862061-6 2.527171-2 3.866206-6 2.362508-2 3.870319-6 2.225932-2 3.874400-6 2.114136-2 3.878449-6 2.026275-2 3.882467-6 1.963187-2 3.886453-6 1.926746-2 3.894363-6 1.943847-2 3.902149-6 2.097472-2 3.909813-6 2.401829-2 3.917358-6 2.863126-2 3.924785-6 3.479844-2 3.932096-6 4.244546-2 3.946489-6 6.188829-2 3.960433-6 8.582362-2 3.973940-6 1.132611-1 3.987026-6 1.434026-1 4.012379-6 2.106675-1 4.036148-6 2.834091-1 4.080715-6 4.436739-1 4.158706-6 7.939722-1 4.223551-6 1.166487+0 4.261069-6 1.427743+0 4.293972-6 1.693502+0 4.355664-6 2.308800+0 4.417815-6 3.137673+0 4.450277-6 3.691740+0 4.482739-6 4.359624+0 4.515401-6 5.180639+0 4.540780-6 5.952773+0 4.555339-6 6.462032+0 4.580798-6 7.497589+0 4.595320-6 8.189046+0 4.617136-6 9.402237+0 4.628045-6 1.010410+1 4.638953-6 1.088250+1 4.649861-6 1.174984+1 4.663492-6 1.298229+1 4.675958-6 1.428470+1 4.682681-6 1.507031+1 4.695894-6 1.682162+1 4.709723-6 1.902392+1 4.725547-6 2.218206+1 4.739392-6 2.574684+1 4.751507-6 2.975532+1 4.762107-6 3.421601+1 4.772616-6 3.982996+1 4.779499-6 4.433171+1 4.786600-6 4.981820+1 4.793093-6 5.571619+1 4.798251-6 6.109384+1 4.807171-6 7.206205+1 4.814456-6 8.281421+1 4.840432-6 1.373671+2 4.848244-6 1.594162+2 4.857172-6 1.879551+2 4.863124-6 2.088863+2 4.870936-6 2.384627+2 4.876144-6 2.593335+2 4.885528-6 2.986944+2 4.888048-6 3.095263+2 4.897357-6 3.498656+2 4.903909-6 3.779405+2 4.909339-6 4.005305+2 4.914608-6 4.215080+2 4.920526-6 4.435414+2 4.925468-6 4.603902+2 4.930234-6 4.750418+2 4.937818-6 4.946021+2 4.943814-6 5.063766+2 4.951590-6 5.162816+2 4.956906-6 5.193626+2 4.962437-6 5.192958+2 4.968484-6 5.153995+2 4.973167-6 5.096891+2 4.979168-6 4.990774+2 4.984085-6 4.877807+2 4.992529-6 4.634601+2 4.997316-6 4.472546+2 5.003771-6 4.231061+2 5.008081-6 4.057785+2 5.012692-6 3.864023+2 5.017870-6 3.638786+2 5.022194-6 3.446562+2 5.027754-6 3.196828+2 5.033750-6 2.927872+2 5.039746-6 2.663041+2 5.046491-6 2.374240+2 5.051737-6 2.158800+2 5.063729-6 1.704852+2 5.069075-6 1.522184+2 5.075720-6 1.313357+2 5.079842-6 1.194202+2 5.089211-6 9.528195+1 5.095769-6 8.074982+1 5.099703-6 7.292234+1 5.108697-6 5.738237+1 5.116306-6 4.657653+1 5.131883-6 3.010804+1 5.143851-6 2.156964+1 5.148535-6 1.898794+1 5.154748-6 1.610327+1 5.160962-6 1.374468+1 5.167176-6 1.182306+1 5.171837-6 1.062090+1 5.173390-6 1.025976+1 5.182711-6 8.439744+0 5.185818-6 7.944363+0 5.198245-6 6.365399+0 5.201352-6 6.048163+0 5.210673-6 5.224478+0 5.229315-6 3.942192+0 5.233975-6 3.667666+0 5.240966-6 3.279086+0 5.247956-6 2.914682+0 5.257277-6 2.463628+0 5.260384-6 2.322128+0 5.269705-6 1.925420+0 5.272812-6 1.802849+0 5.285240-6 1.363901+0 5.291454-6 1.176272+0 5.299198-6 9.724400-1 5.313040-6 6.880302-1 5.317734-6 6.132541-1 5.322427-6 5.484696-1 5.331813-6 4.461924-1 5.336237-6 4.093874-1 5.338806-6 3.910631-1 5.343826-6 3.613399-1 5.351064-6 3.316898-1 5.356270-6 3.194811-1 5.392374-6 4.715371-1 5.399144-6 5.659439-1 5.405490-6 6.839482-1 5.411440-6 8.259333-1 5.417018-6 9.918251-1 5.436628-6 1.913330+0 5.444636-6 2.491312+0 5.451642-6 3.122719+0 5.457773-6 3.787587+0 5.463137-6 4.467127+0 5.467831-6 5.144903+0 5.475532-6 6.444257+0 5.481821-6 7.697140+0 5.486537-6 8.761155+0 5.492728-6 1.033242+1 5.499693-6 1.235422+1 5.504727-6 1.399323+1 5.510863-6 1.620230+1 5.514246-6 1.752169+1 5.521016-6 2.038227+1 5.527786-6 2.353633+1 5.536233-6 2.787123+1 5.543017-6 3.165214+1 5.554864-6 3.879288+1 5.559518-6 4.174321+1 5.568404-6 4.750856+1 5.573058-6 5.055545+1 5.577500-6 5.345103+1 5.583828-6 5.750631+1 5.587364-6 5.971274+1 5.593164-6 6.319923+1 5.599676-6 6.685338+1 5.605116-6 6.963706+1 5.611236-6 7.241631+1 5.618916-6 7.528811+1 5.625085-6 7.703353+1 5.628093-6 7.768903+1 5.634857-6 7.866893+1 5.641117-6 7.894669+1 5.647242-6 7.862329+1 5.653081-6 7.777130+1 5.656331-6 7.707275+1 5.662216-6 7.541533+1 5.668030-6 7.330975+1 5.677443-6 6.902147+1 5.682638-6 6.625559+1 5.686692-6 6.393266+1 5.692485-6 6.040607+1 5.696209-6 5.803546+1 5.702109-6 5.416012+1 5.707343-6 5.064298+1 5.711715-6 4.768077+1 5.717336-6 4.387937+1 5.724105-6 3.937221+1 5.729183-6 3.608360+1 5.732567-6 3.394975+1 5.738491-6 3.035135+1 5.744414-6 2.695175+1 5.745750-6 2.621507+1 5.755102-6 2.139336+1 5.761998-6 1.823311+1 5.768974-6 1.538934+1 5.775800-6 1.295146+1 5.785534-6 1.004935+1 5.790518-6 8.814687+0 5.797993-6 7.264000+0 5.803600-6 6.325566+0 5.807943-6 5.723502+0 5.812195-6 5.234361+0 5.815443-6 4.924813+0 5.816795-6 4.811804+0 5.819013-6 4.646051+0 5.822183-6 4.450500+0 5.826068-6 4.274924+0 5.826806-6 4.249311+0 5.835589-6 4.125082+0 5.836780-6 4.132869+0 5.838565-6 4.155092+0 5.840783-6 4.199946+0 5.847257-6 4.436013+0 5.854656-6 4.885490+0 5.857226-6 5.083435+0 5.868961-6 6.233086+0 5.883266-6 8.089247+0 5.890530-6 9.171603+0 5.897571-6 1.027720+1 5.902711-6 1.110385+1 5.908212-6 1.199222+1 5.914389-6 1.297718+1 5.919547-6 1.377532+1 5.924522-6 1.451194+1 5.929756-6 1.524055+1 5.934450-6 1.584417+1 5.940485-6 1.653861+1 5.948085-6 1.726249+1 5.953847-6 1.768691+1 5.958713-6 1.795600+1 5.964832-6 1.817453+1 5.971011-6 1.825870+1 5.983924-6 1.800850+1 5.988952-6 1.776812+1 5.998482-6 1.712733+1 6.005028-6 1.657262+1 6.010950-6 1.601125+1 6.019405-6 1.514650+1 6.031056-6 1.391514+1 6.048829-6 1.218531+1 6.058103-6 1.144389+1 6.066042-6 1.092544+1 6.073311-6 1.055219+1 6.084450-6 1.016992+1 6.089042-6 1.007650+1 6.099678-6 9.990063+0 6.106503-6 1.001848+1 6.113800-6 1.010826+1 6.124534-6 1.032518+1 6.161273-6 1.134314+1 6.173486-6 1.163943+1 6.185886-6 1.188162+1 6.201449-6 1.210029+1 6.216289-6 1.223655+1 6.255356-6 1.246406+1 6.269930-6 1.257135+1 6.284174-6 1.271439+1 6.294322-6 1.284516+1 6.322173-6 1.335391+1 6.339586-6 1.380336+1 6.354467-6 1.428002+1 6.366931-6 1.474936+1 6.388084-6 1.569149+1 6.432653-6 1.808475+1 6.449916-6 1.899310+1 6.455674-6 1.926822+1 6.465527-6 1.968926+1 6.476240-6 2.005547+1 6.482021-6 2.020502+1 6.492417-6 2.037548+1 6.503213-6 2.040346+1 6.514166-6 2.026429+1 6.521237-6 2.008271+1 6.528337-6 1.982941+1 6.536033-6 1.947851+1 6.542963-6 1.910033+1 6.550204-6 1.865012+1 6.561600-6 1.785219+1 6.571060-6 1.713652+1 6.600779-6 1.494194+1 6.608053-6 1.449903+1 6.616050-6 1.408954+1 6.627365-6 1.368155+1 6.639348-6 1.351317+1 6.646526-6 1.356124+1 6.650019-6 1.362845+1 6.653704-6 1.373192+1 6.659809-6 1.397984+1 6.666389-6 1.435872+1 6.678125-6 1.534137+1 6.685483-6 1.617147+1 6.711625-6 2.063806+1 6.722445-6 2.328951+1 6.733940-6 2.673050+1 6.744717-6 3.064234+1 6.757165-6 3.616176+1 6.764292-6 3.990190+1 6.773172-6 4.527246+1 6.781497-6 5.115342+1 6.789301-6 5.755395+1 6.796618-6 6.447774+1 6.810337-6 8.043992+1 6.822341-6 9.847219+1 6.832844-6 1.182800+2 6.842035-6 1.394525+2 6.857113-6 1.839761+2 6.881620-6 2.914254+2 6.901148-6 4.195593+2 6.908493-6 4.799533+2 6.923368-6 6.258418+2 6.930805-6 7.115942+2 6.941894-6 8.563266+2 6.946487-6 9.223322+2 6.957366-6 1.092877+3 6.962041-6 1.172222+3 6.972561-6 1.363418+3 6.978203-6 1.472726+3 6.993154-6 1.781649+3 6.999027-6 1.909071+3 7.010240-6 2.158003+3 7.018917-6 2.352414+3 7.027327-6 2.538928+3 7.033468-6 2.672042+3 7.040038-6 2.809937+3 7.047415-6 2.957216+3 7.055558-6 3.107832+3 7.062568-6 3.225280+3 7.072580-6 3.369812+3 7.080155-6 3.458600+3 7.090582-6 3.548642+3 7.095906-6 3.579380+3 7.113553-6 3.604411+3 7.120449-6 3.582056+3 7.129847-6 3.523575+3 7.137735-6 3.450922+3 7.149069-6 3.312478+3 7.158111-6 3.176950+3 7.166016-6 3.043302+3 7.173265-6 2.910623+3 7.181106-6 2.758641+3 7.190174-6 2.575265+3 7.198193-6 2.409203+3 7.202465-6 2.320182+3 7.212076-6 2.120655+3 7.215280-6 2.054870+3 7.232366-6 1.716336+3 7.246440-6 1.460106+3 7.255326-6 1.311609+3 7.266539-6 1.140351+3 7.283626-6 9.151433+2 7.314612-6 6.113931+2 7.326923-6 5.233718+2 7.333060-6 4.853551+2 7.345858-6 4.171047+2 7.357514-6 3.661893+2 7.369670-6 3.225812+2 7.381778-6 2.870452+2 7.393839-6 2.579878+2 7.405852-6 2.340857+2 7.417819-6 2.142640+2 7.429739-6 1.976657+2 7.441612-6 1.836173+2 7.453439-6 1.715956+2 7.477000-6 1.520762+2 7.500378-6 1.369163+2 7.523573-6 1.247683+2 7.546586-6 1.147984+2 7.569420-6 1.064658+2 7.592075-6 9.940143+1 7.614554-6 9.334264+1 7.636857-6 8.809522+1 7.658985-6 8.351141+1 7.680941-6 7.947613+1 7.725148-6 7.259211+1 7.771063-6 6.679191+1 7.809614-6 6.272586+1 7.851172-6 5.898670+1 7.892080-6 5.583154+1 7.932349-6 5.313840+1 7.971989-6 5.081558+1 8.013362-6 4.867900+1 8.058422-6 4.662953+1 8.125043-6 4.402965+1 8.200017-6 4.159001+1 8.294968-6 3.904279+1 8.341612-6 3.796546+1 8.426795-6 3.624601+1 8.531651-6 3.447440+1 8.679039-6 3.244053+1 8.786476-6 3.121453+1 8.972515-6 2.945431+1 9.066064-6 2.870550+1 9.285823-6 2.723144+1 9.544805-6 2.579320+1 9.940524-6 2.401679+1 1.020492-5 2.301811+1 1.090738-5 2.077646+1 1.115965-5 1.994608+1 1.133803-5 1.921180+1 1.139384-5 1.902627+1 1.142175-5 1.897417+1 1.144966-5 1.896111+1 1.147756-5 1.899342+1 1.150000-5 1.905385+1 1.155780-5 1.933361+1 1.164501-5 1.987418+1 1.167291-5 2.000294+1 1.170082-5 2.008618+1 1.172696-5 2.011749+1 1.175309-5 2.010371+1 1.178454-5 2.003366+1 1.184036-5 1.980615+1 1.198113-5 1.910715+1 1.229009-5 1.811150+1 1.244264-5 1.776277+1 1.274385-5 1.730448+1 1.352066-5 1.592438+1 1.520247-5 1.358849+1 1.638400-5 1.233878+1 1.752482-5 1.137367+1 1.856671-5 1.065535+1 1.984246-5 9.943189+0 2.100000-5 9.420788+0 2.235000-5 8.932057+0 2.371374-5 8.536218+0 2.457600-5 8.318470+0 2.560000-5 8.102315+0 2.733750-5 7.793250+0 2.917427-5 7.536435+0 3.198895-5 7.230560+0 3.507519-5 6.974779+0 3.935501-5 6.698929+0 4.168694-5 6.551733+0 4.415704-5 6.393334+0 4.684989-5 6.219876+0 4.850000-5 6.097718+0 5.184000-5 5.836448+0 5.308844-5 5.732322+0 5.610376-5 5.456732+0 5.911747-5 5.141536+0 6.194283-5 4.813330+0 6.459160-5 4.476546+0 6.707483-5 4.136899+0 6.940285-5 3.800203+0 7.161434-5 3.465091+0 7.399713-5 3.084971+0 7.554972-5 2.829118+0 7.734806-5 2.525938+0 7.903401-5 2.236876+0 8.061458-5 1.963657+0 8.209637-5 1.707105+0 8.348555-5 1.469132+0 8.478790-5 1.250514+0 8.558232-5 1.120724+0 8.785167-5 7.670876-1 8.844302-5 6.811840-1 8.981946-5 4.978445-1 9.030128-5 4.398349-1 9.146396-5 3.164520-1 9.205402-5 2.644569-1 9.306353-5 1.958272-1 9.358767-5 1.719221-1 9.438819-5 1.539292-1 9.453738-5 1.533434-1 9.492961-5 1.564152-1 9.554726-5 1.761782-1 9.610381-5 2.119289-1 9.656146-5 2.562084-1 9.682421-5 2.885242-1 9.713123-5 3.333478-1 9.744887-5 3.884676-1 9.822536-5 5.662086-1 9.890479-5 7.815410-1 9.950818-5 1.031092+0 1.000938-4 1.339164+0 1.009855-4 1.978423+0 1.016130-4 2.608225+0 1.019455-4 3.027851+0 1.025479-4 3.989596+0 1.033051-4 5.653674+0 1.035610-4 6.342564+0 1.039345-4 7.463652+0 1.041350-4 8.120525+0 1.045264-4 9.511362+0 1.048306-4 1.069187+1 1.053541-4 1.293872+1 1.058344-4 1.525907+1 1.062358-4 1.739458+1 1.066473-4 1.975633+1 1.070525-4 2.222426+1 1.074134-4 2.450912+1 1.078078-4 2.705977+1 1.079800-4 2.818163+1 1.082641-4 3.003118+1 1.085005-4 3.156105+1 1.089812-4 3.461645+1 1.092304-4 3.615652+1 1.094131-4 3.726144+1 1.098688-4 3.990879+1 1.103064-4 4.227908+1 1.107136-4 4.430713+1 1.112355-4 4.662892+1 1.115578-4 4.789949+1 1.119100-4 4.914372+1 1.124485-4 5.076355+1 1.128000-4 5.164669+1 1.132750-4 5.264052+1 1.138250-4 5.353754+1 1.145135-4 5.434226+1 1.152250-4 5.488617+1 1.160000-4 5.524228+1 1.175875-4 5.557316+1 1.199965-4 5.599131+1 1.218023-4 5.668793+1 1.244583-4 5.821412+1 1.281601-4 6.068020+1 1.335542-4 6.470497+1 1.369682-4 6.686225+1 1.396891-4 6.815493+1 1.403344-4 6.878111+1 1.407630-4 6.961377+1 1.410605-4 7.052706+1 1.413770-4 7.191746+1 1.416928-4 7.384303+1 1.419854-4 7.619335+1 1.422734-4 7.908878+1 1.426507-4 8.377073+1 1.431747-4 9.170962+1 1.437040-4 1.005951+2 1.440479-4 1.061727+2 1.443281-4 1.102295+2 1.446173-4 1.136893+2 1.447661-4 1.151129+2 1.450257-4 1.169331+2 1.454170-4 1.179741+2 1.455645-4 1.178342+2 1.458722-4 1.166750+2 1.461746-4 1.145525+2 1.465006-4 1.114656+2 1.470507-4 1.053756+2 1.475174-4 1.004007+2 1.479359-4 9.674999+1 1.481420-4 9.533370+1 1.484589-4 9.368222+1 1.487807-4 9.263424+1 1.491453-4 9.211635+1 1.493722-4 9.208562+1 1.496556-4 9.228370+1 1.500046-4 9.277526+1 1.509413-4 9.455641+1 1.520079-4 9.621527+1 1.537242-4 9.782136+1 1.586225-4 1.014943+2 1.677459-4 1.073267+2 1.719686-4 1.097447+2 1.764443-4 1.119800+2 1.862087-4 1.161785+2 1.989075-4 1.204425+2 2.077573-4 1.227628+2 2.186577-4 1.248248+2 2.332589-4 1.267173+2 2.426610-4 1.274782+2 2.633233-4 1.281343+2 2.951209-4 1.280032+2 3.714139-4 1.258643+2 4.628804-4 1.222258+2 5.337572-4 1.193276+2 6.159298-4 1.159817+2 6.640297-4 1.139902+2 8.915548-4 1.043912+2 9.702307-4 1.013442+2 1.093720-3 9.598182+1 1.141518-3 9.401116+1 1.188502-3 9.199036+1 1.285022-3 8.771059+1 1.340737-3 8.519088+1 1.392982-3 8.266205+1 1.438940-3 8.031086+1 1.478444-3 7.819354+1 1.513051-3 7.624120+1 1.549589-3 7.403548+1 1.576442-3 7.225804+1 1.607936-3 6.999115+1 1.633886-3 6.794594+1 1.659571-3 6.571168+1 1.679068-3 6.383629+1 1.696949-3 6.192692+1 1.710639-3 6.030424+1 1.726012-3 5.826270+1 1.738852-3 5.631907+1 1.751233-3 5.415673+1 1.761583-3 5.204295+1 1.770256-3 4.998099+1 1.778251-3 4.780157+1 1.784895-3 4.579824+1 1.802093-3 4.054313+1 1.806633-3 3.945373+1 1.810399-3 3.875753+1 1.813804-3 3.832699+1 1.817422-3 3.810469+1 1.820740-3 3.813002+1 1.824601-3 3.844380+1 1.826970-3 3.878612+1 1.829110-3 3.918976+1 1.833323-3 4.022809+1 1.837572-3 4.156312+1 1.842329-3 4.333011+1 1.857036-3 4.967778+1 1.860945-3 5.138163+1 1.865789-3 5.341310+1 1.870397-3 5.523300+1 1.875645-3 5.715055+1 1.879233-3 5.836345+1 1.886022-3 6.044563+1 1.890000-3 6.154633+1 1.896892-3 6.327222+1 1.904155-3 6.488267+1 1.913017-3 6.662020+1 1.922463-3 6.825997+1 1.934289-3 7.006978+1 1.945640-3 7.159649+1 1.956836-3 7.293143+1 1.969519-3 7.427220+1 1.995262-3 7.655465+1 2.013038-3 7.786916+1 2.046291-3 7.989261+1 2.089729-3 8.188451+1 2.141710-3 8.359713+1 2.199287-3 8.491322+1 2.272245-3 8.595409+1 2.347137-3 8.648040+1 2.443254-3 8.665931+1 2.570800-3 8.625639+1 2.741447-3 8.511331+1 2.900681-3 8.366845+1 3.130581-3 8.119269+1 3.445895-3 7.749584+1 3.825390-3 7.313022+1 4.280112-3 6.813319+1 4.787493-3 6.310710+1 5.165418-3 5.966221+1 5.755116-3 5.472046+1 6.162485-3 5.159544+1 6.642456-3 4.816423+1 7.367645-3 4.347932+1 8.018560-3 3.971445+1 8.608288-3 3.664095+1 9.464220-3 3.268436+1 1.050413-2 2.859202+1 1.161449-2 2.495778+1 1.316108-2 2.091297+1 1.527373-2 1.680636+1 1.844309-2 1.264239+1 2.401240-2 8.417122+0 2.927182-2 6.162949+0 3.584695-2 4.447968+0 4.060351-2 3.617763+0 4.899384-2 2.626108+0 5.561884-2 2.104258+0 6.612149-2 1.541470+0 8.206423-2 1.037198+0 1.081353-1 6.202762-1 1.360316-1 4.011997-1 1.798871-1 2.342396-1 2.454709-1 1.276965-1 3.681541-1 5.738187-2 6.978306-1 1.607715-2 2.135261+0 1.721202-3 6.448384+0 1.887740-4 1.947381+1 2.069923-5 5.880996+1 2.269632-6 1.776032+2 2.488603-7 5.363532+2 2.728699-8 1.995262+3 1.971775-9 6.309573+3 1.97178-10 1.995262+4 1.97178-11 6.309573+4 1.97178-12 1.000000+5 7.84978-13 1 14000 7 7 2.808600+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 7.665600-7 1.258900-6 1.214900-6 1.584900-6 1.925500-6 1.995300-6 3.051700-6 2.511900-6 4.836600-6 3.162300-6 7.665500-6 3.981100-6 1.214900-5 5.011900-6 1.925500-5 6.309600-6 3.051600-5 7.943300-6 4.836500-5 1.000000-5 7.665200-5 1.258900-5 1.214800-4 1.584900-5 1.925300-4 1.995300-5 3.051400-4 2.511900-5 4.836000-4 3.162300-5 7.663500-4 3.981100-5 1.214100-3 5.011900-5 1.923600-3 6.309600-5 3.047700-3 7.943300-5 4.828600-3 1.000000-4 7.643700-3 1.258900-4 1.209900-2 1.584900-4 1.912500-2 1.995300-4 3.021000-2 2.511900-4 4.761300-2 3.162300-4 7.481300-2 3.981100-4 1.169100-1 5.011900-4 1.812400-1 6.309600-4 2.777400-1 7.943300-4 4.182500-1 1.000000-3 6.147900-1 1.258900-3 8.757700-1 1.584900-3 1.200800+0 1.995300-3 1.578300+0 2.511900-3 1.989000+0 3.162300-3 2.416300+0 3.981100-3 2.857600+0 5.011900-3 3.330400+0 6.309600-3 3.855700+0 7.943300-3 4.436100+0 1.000000-2 5.046800+0 1.258900-2 5.636800+0 1.584900-2 6.151400+0 1.995300-2 6.559500+0 2.511900-2 6.861100+0 3.162300-2 7.066700+0 3.981100-2 7.179100+0 5.011900-2 7.193200+0 6.309600-2 7.107900+0 7.943300-2 6.932900+0 1.000000-1 6.682600+0 1.258900-1 6.371300+0 1.584900-1 6.016600+0 1.995300-1 5.632100+0 2.511900-1 5.231400+0 3.162300-1 4.825600+0 3.981100-1 4.423900+0 5.011900-1 4.032400+0 6.309600-1 3.655100+0 7.943300-1 3.294800+0 1.000000+0 2.953100+0 1.258900+0 2.631000+0 1.584900+0 2.329800+0 1.995300+0 2.050200+0 2.511900+0 1.793100+0 3.162300+0 1.558700+0 3.981100+0 1.347000+0 5.011900+0 1.157700+0 6.309600+0 9.898100-1 7.943300+0 8.422300-1 1.000000+1 7.135100-1 1.258900+1 6.020300-1 1.584900+1 5.061300-1 1.995300+1 4.240900-1 2.511900+1 3.542900-1 3.162300+1 2.951800-1 3.981100+1 2.453300-1 5.011900+1 2.034500-1 6.309600+1 1.683800-1 7.943300+1 1.391100-1 1.000000+2 1.147300-1 1.258900+2 9.448200-2 1.584900+2 7.770000-2 1.995300+2 6.381800-2 2.511900+2 5.235400-2 3.162300+2 4.290300-2 3.981100+2 3.512300-2 5.011900+2 2.872700-2 6.309600+2 2.347500-2 7.943300+2 1.916700-2 1.000000+3 1.563800-2 1.258900+3 1.275000-2 1.584900+3 1.038800-2 1.995300+3 8.457700-3 2.511900+3 6.882100-3 3.162300+3 5.596800-3 3.981100+3 4.549100-3 5.011900+3 3.695500-3 6.309600+3 3.000600-3 7.943300+3 2.435300-3 1.000000+4 1.975500-3 1.258900+4 1.601800-3 1.584900+4 1.298300-3 1.995300+4 1.051900-3 2.511900+4 8.518800-4 3.162300+4 6.896600-4 3.981100+4 5.581300-4 5.011900+4 4.515300-4 6.309600+4 3.651700-4 7.943300+4 2.952300-4 1.000000+5 2.386100-4 1 14000 7 7 2.808600+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159548-4 3.981072-4 3.976755-4 5.011872-4 5.005052-4 6.309573-4 6.298813-4 7.943282-4 7.926344-4 1.000000-3 9.973416-4 1.258925-3 1.254763-3 1.584893-3 1.578423-3 1.995262-3 1.985235-3 2.511886-3 2.496381-3 3.162278-3 3.138384-3 3.981072-3 3.944134-3 5.011872-3 4.954469-3 6.309573-3 6.219877-3 7.943282-3 7.802828-3 1.000000-2 9.780681-3 1.258925-2 1.224896-2 1.584893-2 1.532494-2 1.995262-2 1.915049-2 2.511886-2 2.389518-2 3.162278-2 2.975948-2 3.981072-2 3.698118-2 5.011872-2 4.584271-2 6.309573-2 5.667530-2 7.943282-2 6.986302-2 1.000000-1 8.583942-2 1.258925-1 1.051315-1 1.584893-1 1.282801-1 1.995262-1 1.559912-1 2.511886-1 1.890191-1 3.162278-1 2.282462-1 3.981072-1 2.747003-1 5.011872-1 3.295249-1 6.309573-1 3.941395-1 7.943282-1 4.701596-1 1.000000+0 5.596300-1 1.258925+0 6.649927-1 1.584893+0 7.893350-1 1.995262+0 9.364198-1 2.511886+0 1.110939+0 3.162278+0 1.318632+0 3.981072+0 1.566553+0 5.011872+0 1.863292+0 6.309573+0 2.219445+0 7.943282+0 2.647912+0 1.000000+1 3.164482+0 1.258925+1 3.788482+0 1.584893+1 4.543612+0 1.995262+1 5.458757+0 2.511886+1 6.569479+0 3.162278+1 7.919423+0 3.981072+1 9.561858+0 5.011872+1 1.156262+1 6.309573+1 1.400224+1 7.943282+1 1.697983+1 1.000000+2 2.061719+1 1.258925+2 2.506444+1 1.584893+2 3.050606+1 1.995262+2 3.716927+1 2.511886+2 4.533439+1 3.162278+2 5.534688+1 3.981072+2 6.763138+1 5.011872+2 8.271467+1 6.309573+2 1.012439+2 7.943282+2 1.240191+2 1.000000+3 1.520295+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 14000 7 9 2.808600+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739860-9 3.981072-5 4.341986-9 5.011872-5 6.881222-9 6.309573-5 1.090561-8 7.943282-5 1.728291-8 1.000000-4 2.738401-8 1.258925-4 4.339348-8 1.584893-4 6.873755-8 1.995262-4 1.088928-7 2.511886-4 1.724380-7 3.162278-4 2.729362-7 3.981072-4 4.317000-7 5.011872-4 6.820807-7 6.309573-4 1.076052-6 7.943282-4 1.693877-6 1.000000-3 2.658366-6 1.258925-3 4.162800-6 1.584893-3 6.470046-6 1.995262-3 1.002769-5 2.511886-3 1.550591-5 3.162278-3 2.389395-5 3.981072-3 3.693751-5 5.011872-3 5.740308-5 6.309573-3 8.969625-5 7.943282-3 1.404542-4 1.000000-2 2.193195-4 1.258925-2 3.402984-4 1.584893-2 5.239964-4 1.995262-2 8.021321-4 2.511886-2 1.223685-3 3.162278-2 1.863298-3 3.981072-2 2.829542-3 5.011872-2 4.276016-3 6.309573-2 6.420432-3 7.943282-2 9.569806-3 1.000000-1 1.416058-2 1.258925-1 2.076108-2 1.584893-1 3.020924-2 1.995262-1 4.353506-2 2.511886-1 6.216959-2 3.162278-1 8.798161-2 3.981072-1 1.234069-1 5.011872-1 1.716623-1 6.309573-1 2.368179-1 7.943282-1 3.241686-1 1.000000+0 4.403700-1 1.258925+0 5.939328-1 1.584893+0 7.955582-1 1.995262+0 1.058842+0 2.511886+0 1.400947+0 3.162278+0 1.843646+0 3.981072+0 2.414518+0 5.011872+0 3.148580+0 6.309573+0 4.090129+0 7.943282+0 5.295370+0 1.000000+1 6.835518+0 1.258925+1 8.800773+0 1.584893+1 1.130532+1 1.995262+1 1.449387+1 2.511886+1 1.854939+1 3.162278+1 2.370335+1 3.981072+1 3.024886+1 5.011872+1 3.855610+1 6.309573+1 4.909350+1 7.943282+1 6.245300+1 1.000000+2 7.938281+1 1.258925+2 1.008281+2 1.584893+2 1.279833+2 1.995262+2 1.623570+2 2.511886+2 2.058543+2 3.162278+2 2.608809+2 3.981072+2 3.304758+2 5.011872+2 4.184726+2 6.309573+2 5.297135+2 7.943282+2 6.703092+2 1.000000+3 8.479705+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.520000-6 2.709673+7 6.550000-6 2.689364+7 6.550000-6 4.041218+7 6.839116-6 3.767666+7 7.100000-6 3.523201+7 7.350000-6 3.295009+7 7.600000-6 3.071442+7 7.673615-6 3.008261+7 7.852356-6 2.854638+7 7.943282-6 2.779184+7 8.128305-6 2.627587+7 8.222426-6 2.553290+7 8.413951-6 2.404899+7 8.511380-6 2.332346+7 8.709636-6 2.187395+7 8.850000-6 2.090021+7 9.015711-6 1.977465+7 9.200000-6 1.859251+7 9.350000-6 1.765992+7 9.549926-6 1.648733+7 9.700000-6 1.564201+7 9.885531-6 1.465598+7 1.000000-5 1.406717+7 1.023293-5 1.294148+7 1.035142-5 1.239485+7 1.060000-5 1.132252+7 1.071519-5 1.084997+7 1.100000-5 9.766694+6 1.110000-5 9.408168+6 1.135011-5 8.567995+6 1.150000-5 8.095641+6 1.180000-5 7.231226+6 1.190000-5 6.961476+6 1.216186-5 6.303019+6 1.230269-5 5.972712+6 1.258925-5 5.356105+6 1.273503-5 5.064929+6 1.310000-5 4.408318+6 1.318257-5 4.270880+6 1.363000-5 3.602611+6 1.363000-5 3.609553+6 1.363900-5 3.597170+6 1.365000-5 3.582152+6 1.367000-5 3.554151+6 1.370000-5 3.512663+6 1.372000-5 3.485346+6 1.374000-5 3.458296+6 1.377000-5 3.418219+6 1.380384-5 3.373717+6 1.382000-5 3.352727+6 1.385000-5 3.314198+6 1.387700-5 3.280005+6 1.390000-5 3.251231+6 1.393500-5 3.208064+6 1.400000-5 3.129829+6 1.402200-5 3.103906+6 1.403500-5 3.088718+6 1.405000-5 3.071312+6 1.406000-5 3.059779+6 1.407000-5 3.048301+6 1.408000-5 3.036879+6 1.409000-5 3.025512+6 1.410000-5 3.014201+6 1.411000-5 3.002944+6 1.412000-5 2.991741+6 1.413000-5 2.980593+6 1.414000-5 2.969498+6 1.415000-5 2.958457+6 1.415700-5 2.950760+6 1.416800-5 2.938717+6 1.418000-5 2.925653+6 1.419000-5 2.914823+6 1.420000-5 2.904045+6 1.421500-5 2.887470+6 1.423000-5 2.871017+6 1.425000-5 2.849268+6 1.433000-5 2.764378+6 1.436000-5 2.733392+6 1.439000-5 2.702858+6 1.442000-5 2.672767+6 1.445000-5 2.643114+6 1.448000-5 2.613891+6 1.451000-5 2.585092+6 1.454000-5 2.556709+6 1.457000-5 2.528736+6 1.460000-5 2.501167+6 1.463500-5 2.469504+6 1.467000-5 2.438372+6 1.471000-5 2.403430+6 1.475000-5 2.369154+6 1.479108-5 2.334631+6 1.480000-5 2.327220+6 1.483500-5 2.297618+6 1.487000-5 2.268513+6 1.492000-5 2.227786+6 1.497000-5 2.188038+6 1.503000-5 2.141595+6 1.509000-5 2.096483+6 1.515000-5 2.052659+6 1.522000-5 2.003107+6 1.528000-5 1.961940+6 1.535000-5 1.915385+6 1.542000-5 1.870360+6 1.548817-5 1.827922+6 1.550000-5 1.820511+6 1.557000-5 1.777451+6 1.566751-5 1.719839+6 1.577900-5 1.657190+6 1.585000-5 1.619003+6 1.595000-5 1.567364+6 1.605000-5 1.518127+6 1.615000-5 1.471170+6 1.625000-5 1.426381+6 1.640590-5 1.360630+6 1.650000-5 1.322988+6 1.655000-5 1.303632+6 1.670000-5 1.248067+6 1.687100-5 1.189300+6 1.700000-5 1.147961+6 1.720000-5 1.088566+6 1.740000-5 1.034408+6 1.760000-5 9.850047+5 1.785000-5 9.292771+5 1.795500-5 9.076005+5 1.800000-5 8.988666+5 1.808000-5 8.840069+5 1.830000-5 8.455336+5 1.862087-5 7.957417+5 1.870000-5 7.847997+5 1.885000-5 7.656014+5 1.920000-5 7.251718+5 1.929400-5 7.156546+5 1.950000-5 6.968326+5 1.972423-5 6.777845+5 1.980000-5 6.721991+5 1.990000-5 6.653764+5 2.020000-5 6.460461+5 2.055000-5 6.280006+5 2.065380-5 6.236376+5 2.090000-5 6.138464+5 2.104000-5 6.093528+5 2.113489-5 6.066774+5 2.130000-5 6.017637+5 2.137962-5 5.998532+5 2.170000-5 5.935316+5 2.210000-5 5.879146+5 2.230000-5 5.866925+5 2.250000-5 5.850799+5 2.290868-5 5.845272+5 2.330000-5 5.852799+5 2.350000-5 5.866863+5 2.371374-5 5.876572+5 2.410000-5 5.910657+5 2.426610-5 5.931723+5 2.454709-5 5.959150+5 2.500000-5 6.019245+5 2.511886-5 6.039021+5 2.560000-5 6.104516+5 2.610000-5 6.186683+5 2.675200-5 6.291662+5 2.691535-5 6.321444+5 2.754229-5 6.420512+5 2.800000-5 6.500687+5 2.851018-5 6.577384+5 2.917427-5 6.686411+5 3.000000-5 6.802254+5 3.054921-5 6.879691+5 3.198895-5 7.050415+5 3.300000-5 7.150254+5 3.311311-5 7.160692+5 3.350000-5 7.195073+5 3.500000-5 7.303013+5 3.507519-5 7.307816+5 3.672823-5 7.380562+5 3.715352-5 7.394315+5 3.850000-5 7.417192+5 3.935501-5 7.422107+5 4.027170-5 7.415369+5 4.168694-5 7.390007+5 4.220000-5 7.375281+5 4.415704-5 7.300146+5 4.623810-5 7.183526+5 4.677351-5 7.149360+5 4.841724-5 7.033574+5 4.850000-5 7.027379+5 5.000000-5 6.913198+5 5.080000-5 6.848378+5 5.308844-5 6.652941+5 5.559043-5 6.421384+5 5.688529-5 6.300123+5 5.821032-5 6.173948+5 6.150000-5 5.862330+5 6.165950-5 5.846664+5 6.531306-5 5.502057+5 6.683439-5 5.362555+5 6.918310-5 5.152341+5 7.328245-5 4.804558+5 7.413102-5 4.734915+5 7.852356-5 4.392340+5 7.943282-5 4.326051+5 8.128305-5 4.193146+5 8.413951-5 3.997056+5 8.609938-5 3.870054+5 9.120108-5 3.563026+5 9.225714-5 3.503964+5 9.332543-5 3.444691+5 9.900000-5 3.151209+5 1.000000-4 3.103345+5 1.059254-4 2.838054+5 1.071519-4 2.786858+5 1.079800-4 2.752849+5 1.079800-4 1.603317+6 1.080900-4 1.649226+6 1.083927-4 1.789910+6 1.086000-4 1.886547+6 1.086700-4 1.918432+6 1.086700-4 2.574272+6 1.088500-4 2.698733+6 1.090500-4 2.837608+6 1.091000-4 2.872666+6 1.093500-4 3.045367+6 1.096478-4 3.246374+6 1.096500-4 3.247911+6 1.099500-4 3.443786+6 1.100000-4 3.476569+6 1.102500-4 3.633186+6 1.103000-4 3.664367+6 1.105500-4 3.813416+6 1.106000-4 3.842829+6 1.108500-4 3.981942+6 1.109500-4 4.036773+6 1.112000-4 4.165473+6 1.113000-4 4.215900+6 1.115000-4 4.309305+6 1.117000-4 4.400845+6 1.118000-4 4.442651+6 1.121200-4 4.572114+6 1.122018-4 4.602011+6 1.125400-4 4.719967+6 1.126000-4 4.740049+6 1.129000-4 4.829482+6 1.130000-4 4.857719+6 1.133000-4 4.931954+6 1.135500-4 4.989390+6 1.138500-4 5.047998+6 1.141000-4 5.092150+6 1.144000-4 5.135335+6 1.148154-4 5.188379+6 1.149500-4 5.201534+6 1.155000-4 5.248029+6 1.156000-4 5.255177+6 1.161449-4 5.281443+6 1.163000-4 5.288927+6 1.164000-4 5.292501+6 1.173000-4 5.307992+6 1.183000-4 5.315414+6 1.185000-4 5.314516+6 1.202264-4 5.297735+6 1.244515-4 5.257871+6 1.273503-4 5.218716+6 1.318257-4 5.160858+6 1.333521-4 5.138325+6 1.380384-4 5.044399+6 1.428894-4 4.927686+6 1.440000-4 4.901918+6 1.465000-4 4.840899+6 1.479108-4 4.800512+6 1.490000-4 4.769810+6 1.500000-4 4.739563+6 1.515500-4 4.686875+6 1.515500-4 5.172167+6 1.531087-4 5.118506+6 1.540000-4 5.086285+6 1.580000-4 4.931054+6 1.584893-4 4.911690+6 1.640590-4 4.682790+6 1.659587-4 4.600877+6 1.719700-4 4.357208+6 1.720000-4 4.356018+6 1.737801-4 4.283111+6 1.800000-4 4.043756+6 1.840772-4 3.896852+6 1.862087-4 3.819672+6 1.900000-4 3.686460+6 1.930000-4 3.586255+6 1.955530-4 3.503443+6 1.980000-4 3.426871+6 2.018366-4 3.306605+6 2.089296-4 3.099609+6 2.137962-4 2.962305+6 2.213095-4 2.767909+6 2.220000-4 2.750738+6 2.290868-4 2.578085+6 2.344229-4 2.458740+6 2.350000-4 2.446337+6 2.371374-4 2.400628+6 2.400000-4 2.339935+6 2.454709-4 2.229556+6 2.540973-4 2.070747+6 2.570396-4 2.020460+6 2.600160-4 1.970661+6 2.730000-4 1.770742+6 2.818383-4 1.650561+6 2.884032-4 1.568935+6 2.900000-4 1.549984+6 2.951209-4 1.490939+6 3.126079-4 1.308783+6 3.200000-4 1.241529+6 3.235937-4 1.209833+6 3.349654-4 1.116993+6 3.350000-4 1.116727+6 3.507519-4 1.003895+6 3.548134-4 9.773301+5 3.630781-4 9.257280+5 3.672823-4 9.009910+5 3.935501-4 7.652629+5 3.981072-4 7.447751+5 4.027170-4 7.248528+5 4.073803-4 7.052325+5 4.216965-4 6.488775+5 4.466836-4 5.650571+5 4.472100-4 5.634640+5 4.518559-4 5.495800+5 4.570882-4 5.343296+5 4.731513-4 4.909111+5 4.786301-4 4.772608+5 4.954502-4 4.386014+5 5.011872-4 4.264467+5 5.069907-4 4.145792+5 5.188000-4 3.914445+5 5.495409-4 3.392590+5 5.623413-4 3.204397+5 5.688529-4 3.113789+5 5.754399-4 3.025325+5 5.800000-4 2.966166+5 6.095369-4 2.616491+5 6.237348-4 2.469155+5 6.382635-4 2.330314+5 6.500000-4 2.224829+5 6.839116-4 1.953572+5 7.079458-4 1.789078+5 7.161434-4 1.737462+5 7.328245-4 1.638006+5 7.413102-4 1.590299+5 7.762471-4 1.411880+5 8.128305-4 1.254114+5 8.222426-4 1.217316+5 8.317638-4 1.181488+5 8.413951-4 1.146729+5 8.810489-4 1.016933+5 9.120108-4 9.296385+4 9.500000-4 8.356065+4 9.549926-4 8.242175+4 9.772372-4 7.760174+4 1.000000-3 7.303595+4 1.047129-3 6.472007+4 1.083927-3 5.908006+4 1.096478-3 5.730881+4 1.135011-3 5.231354+4 1.188502-3 4.630452+4 1.230269-3 4.223443+4 1.244515-3 4.096121+4 1.273503-3 3.852409+4 1.303167-3 3.623479+4 1.350000-3 3.297349+4 1.412538-3 2.919302+4 1.445440-3 2.744501+4 1.479108-3 2.579987+4 1.496236-3 2.501518+4 1.513561-3 2.425513+4 1.548817-3 2.279684+4 1.621810-3 2.011832+4 1.659587-3 1.890280+4 1.717908-3 1.721560+4 1.757924-3 1.617686+4 1.778279-3 1.567938+4 1.828500-3 1.452784+4 1.828500-3 1.543071+5 1.862087-3 1.508316+5 1.865000-3 1.505374+5 1.883649-3 1.481142+5 1.890000-3 1.473034+5 1.930000-3 1.413418+5 1.950000-3 1.379287+5 1.972423-3 1.339462+5 2.000000-3 1.292648+5 2.018366-3 1.262724+5 2.041738-3 1.226007+5 2.089296-3 1.155684+5 2.162719-3 1.057710+5 2.264644-3 9.398928+4 2.317395-3 8.860152+4 2.344229-3 8.602385+4 2.398833-3 8.108698+4 2.511886-3 7.204939+4 2.600160-3 6.593940+4 2.691535-3 6.034911+4 2.754229-3 5.688409+4 2.786121-3 5.522716+4 2.917427-3 4.896698+4 3.019952-3 4.474268+4 3.054921-3 4.341740+4 3.090295-3 4.210343+4 3.126079-3 4.082807+4 3.235937-3 3.722846+4 3.388442-3 3.291876+4 3.507519-3 3.001751+4 3.589219-3 2.822714+4 3.630781-3 2.737165+4 3.715352-3 2.573736+4 3.758374-3 2.493994+4 3.981072-3 2.130910+4 4.073803-3 2.000948+4 4.168694-3 1.878925+4 4.216965-3 1.820684+4 4.265795-3 1.764246+4 4.365158-3 1.656553+4 4.677351-3 1.367743+4 4.731513-3 1.324765+4 4.897788-3 1.203778+4 4.954502-3 1.165924+4 5.011872-3 1.129259+4 5.069907-3 1.093201+4 5.559043-3 8.432836+3 5.754399-3 7.650829+3 5.821032-3 7.406419+3 5.888437-3 7.169808+3 5.956621-3 6.940739+3 6.025596-3 6.718993+3 6.531306-3 5.334217+3 6.760830-3 4.831911+3 6.839116-3 4.675089+3 6.918310-3 4.523348+3 6.998420-3 4.376521+3 7.244360-3 3.964050+3 7.673615-3 3.353549+3 7.762471-3 3.243241+3 8.000000-3 2.971336+3 8.128305-3 2.837006+3 8.222426-3 2.743605+3 8.709636-3 2.320749+3 9.120108-3 2.026354+3 9.225714-3 1.958792+3 9.549926-3 1.769324+3 9.660509-3 1.710283+3 9.772372-3 1.653206+3 1.059254-2 1.303613+3 1.071519-2 1.259587+3 1.096478-2 1.175944+3 1.135011-2 1.060780+3 1.148154-2 1.024926+3 1.161449-2 9.902805+2 1.288250-2 7.267160+2 1.318257-2 6.778874+2 1.348963-2 6.323402+2 1.380384-2 5.898209+2 1.396368-2 5.696437+2 1.566751-2 4.022066+2 1.584893-2 3.884503+2 1.621810-2 3.620530+2 1.659587-2 3.374301+2 1.678804-2 3.257536+2 1.698244-2 3.144806+2 1.972423-2 1.989663+2 2.018366-2 1.852880+2 2.041738-2 1.788051+2 2.137962-2 1.550647+2 2.426610-2 1.048069+2 2.483133-2 9.759719+1 2.511886-2 9.418040+1 2.630268-2 8.155138+1 2.818383-2 6.571167+1 2.884032-2 6.114774+1 3.019952-2 5.294901+1 3.090295-2 4.926922+1 3.198895-2 4.422319+1 3.801894-2 2.564397+1 3.890451-2 2.384579+1 4.120975-2 1.988266+1 4.897788-2 1.147685+1 5.011872-2 1.066561+1 5.069907-2 1.028173+1 5.248075-2 9.211053+0 5.559043-2 7.668600+0 5.623413-2 7.390337+0 6.382635-2 4.921496+0 6.456542-2 4.742840+0 6.606934-2 4.404752+0 6.998420-2 3.661257+0 7.079458-2 3.528350+0 7.585776-2 2.826317+0 8.413951-2 2.026274+0 8.709636-2 1.813533+0 9.332543-2 1.452713+0 1.011580-1 1.121444+0 1.059254-1 9.672763-1 1.122019-1 8.040194-1 1.188502-1 6.683202-1 1.244515-1 5.764467-1 1.273503-1 5.353619-1 1.303167-1 4.972160-1 1.380384-1 4.133282-1 1.396368-1 3.984559-1 1.445440-1 3.569734-1 1.500000-1 3.172627-1 1.584893-1 2.662688-1 1.603245-1 2.566884-1 1.640590-1 2.385489-1 1.659587-1 2.299664-1 1.678804-1 2.216927-1 1.698244-1 2.137227-1 1.717908-1 2.060396-1 1.798871-1 1.782688-1 1.819701-1 1.719321-1 1.883649-1 1.542417-1 1.905461-1 1.487590-1 2.000000-1 1.277533-1 2.018366-1 1.241345-1 2.065380-1 1.154746-1 2.113489-1 1.074190-1 2.137962-1 1.036518-1 2.238721-1 8.985866-2 2.317395-1 8.073235-2 2.344229-1 7.790114-2 2.371374-1 7.516944-2 2.398833-1 7.253356-2 2.454709-1 6.754100-2 2.483133-1 6.521237-2 2.600160-1 5.667348-2 2.630268-1 5.471959-2 2.691535-1 5.101150-2 2.754229-1 4.755504-2 2.818383-1 4.433672-2 2.884032-1 4.138703-2 3.000000-1 3.678525-2 3.019952-1 3.606338-2 3.054921-1 3.484314-2 3.126079-1 3.252536-2 3.162278-1 3.142637-2 3.198895-1 3.036456-2 3.311311-1 2.744419-2 3.427678-1 2.480472-2 3.467369-1 2.398266-2 3.507519-1 2.318785-2 3.548134-1 2.242047-2 3.589219-1 2.167850-2 3.672823-1 2.029678-2 3.758374-1 1.900313-2 3.801894-1 1.838756-2 3.890451-1 1.721576-2 3.935501-1 1.665903-2 4.000000-1 1.590347-2 4.073803-1 1.511319-2 4.216965-1 1.372583-2 4.229500-1 1.361274-2 4.315191-1 1.287255-2 4.415705-1 1.207367-2 4.466836-1 1.170178-2 4.570882-1 1.099200-2 4.677351-1 1.032529-2 4.731513-1 1.000730-2 4.786301-1 9.699646-3 4.841724-1 9.401447-3 4.897788-1 9.119445-3 4.954502-1 8.845899-3 5.128614-1 8.073526-3 5.188000-1 7.831400-3 5.308844-1 7.369560-3 5.370318-1 7.154844-3 5.623413-1 6.356761-3 5.688529-1 6.171591-3 5.821032-1 5.817992-3 5.888437-1 5.653747-3 6.095369-1 5.188320-3 6.165950-1 5.041853-3 6.237348-1 4.899548-3 6.309573-1 4.761565-3 6.382635-1 4.627470-3 6.456542-1 4.501216-3 6.606935-1 4.258946-3 6.760830-1 4.029717-3 6.839117-1 3.919793-3 6.918310-1 3.813115-3 6.998420-1 3.709342-3 7.079458-1 3.612195-3 7.161434-1 3.517592-3 7.413102-1 3.248391-3 7.498942-1 3.163335-3 7.585776-1 3.080701-3 7.762471-1 2.926758-3 8.035261-1 2.710147-3 8.128305-1 2.641567-3 8.222427-1 2.574899-3 8.317638-1 2.509915-3 8.413951-1 2.448532-3 8.609938-1 2.330231-3 8.810489-1 2.217647-3 8.820400-1 2.212291-3 8.912509-1 2.163412-3 9.120108-1 2.059169-3 9.332543-1 1.959949-3 9.440609-1 1.913458-3 9.660509-1 1.823761-3 9.885531-1 1.738505-3 1.000000+0 1.697384-3 1.011579+0 1.658596-3 1.059254+0 1.512098-3 1.083927+0 1.443778-3 1.109175+0 1.378544-3 1.122018+0 1.347120-3 1.135011+0 1.316410-3 1.148154+0 1.287561-3 1.188502+0 1.204755-3 1.216186+0 1.152530-3 1.230269+0 1.127273-3 1.250000+0 1.093374-3 1.303167+0 1.012366-3 1.318257+0 9.910538-4 1.333521+0 9.701918-4 1.348963+0 9.497674-4 1.380384+0 9.103111-4 1.428894+0 8.562037-4 1.445440+0 8.388924-4 1.462177+0 8.219318-4 1.479108+0 8.053140-4 1.513561+0 7.731817-4 1.584893+0 7.151645-4 1.621810+0 6.878097-4 1.659587+0 6.615791-4 1.678804+0 6.488416-4 1.698244+0 6.368312-4 1.757924+0 6.021181-4 1.798871+0 5.800342-4 1.862087+0 5.485080-4 1.883649+0 5.383847-4 1.905461+0 5.288069-4 1.972423+0 5.010842-4 2.018366+0 4.834150-4 2.041738+0 4.748152-4 2.089296+0 4.581200-4 2.137962+0 4.420119-4 2.238721+0 4.125618-4 2.290868+0 3.985810-4 2.317395+0 3.917693-4 2.371374+0 3.785305-4 2.426610+0 3.657392-4 2.540973+0 3.422642-4 2.600160+0 3.310981-4 2.630268+0 3.256526-4 2.691535+0 3.150572-4 2.754229+0 3.048067-4 2.917427+0 2.814197-4 3.000000+0 2.707353-4 3.019952+0 2.682580-4 3.090295+0 2.598496-4 3.198895+0 2.477284-4 3.388442+0 2.293902-4 3.467369+0 2.224409-4 3.507519+0 2.190457-4 3.589219+0 2.124274-4 3.715352+0 2.028730-4 3.981072+0 1.855893-4 4.073803+0 1.801619-4 4.120975+0 1.775080-4 4.216965+0 1.723297-4 4.365158+0 1.648443-4 4.731513+0 1.491032-4 4.841724+0 1.448885-4 4.897788+0 1.428260-4 5.069907+0 1.368264-4 5.248075+0 1.310789-4 5.308844+0 1.292172-4 5.754399+0 1.172487-4 5.888437+0 1.140375-4 5.956621+0 1.124650-4 6.095369+0 1.093922-4 6.309573+0 1.049398-4 6.382635+0 1.034963-4 7.000000+0 9.291393-5 7.244360+0 8.926309-5 7.328245+0 8.807057-5 7.585776+0 8.459474-5 7.943282+0 8.017278-5 8.035261+0 7.910389-5 8.912509+0 7.032125-5 9.225714+0 6.761603-5 9.332543+0 6.673761-5 9.660509+0 6.417538-5 1.000000+1 6.171154-5 1.023293+1 6.012176-5 1.148154+1 5.293614-5 1.202264+1 5.030847-5 1.216186+1 4.967217-5 1.273503+1 4.721077-5 1.318257+1 4.544510-5 1.364583+1 4.374549-5 1.513561+1 3.911924-5 1.603245+1 3.676397-5 1.659587+1 3.541942-5 1.778279+1 3.288015-5 1.840772+1 3.167962-5 1.905461+1 3.052292-5 2.041738+1 2.837522-5 2.238721+1 2.574486-5 2.426610+1 2.364410-5 2.630268+1 2.171747-5 2.722701+1 2.094061-5 2.800000+1 2.033137-5 2.917427+1 1.948407-5 3.235937+1 1.750061-5 3.630781+1 1.553267-5 3.758374+1 1.498668-5 4.315191+1 1.298988-5 4.466836+1 1.253373-5 4.570882+1 1.223856-5 4.786301+1 1.167567-5 5.432503+1 1.025768-5 6.456542+1 8.597420-6 6.760830+1 8.202029-6 7.762471+1 7.122480-6 7.943282+1 6.956908-6 8.035261+1 6.875571-6 8.511380+1 6.486459-6 1.023293+2 5.383249-6 1.288250+2 4.264227-6 1.348963+2 4.070057-6 1.548817+2 3.539236-6 1.584893+2 3.457757-6 1.603245+2 3.417724-6 1.698244+2 3.225688-6 2.041738+2 2.680751-6 2.570396+2 2.127154-6 2.691535+2 2.030991-6 6.165950+2 8.834472-7 6.309573+2 8.632532-7 6.382635+2 8.533299-7 6.760830+2 8.055649-7 8.128305+2 6.699588-7 2.041738+3 2.665545-7 2.137962+3 2.545500-7 1.949845+4 2.787989-8 1.995262+4 2.724496-8 2.018366+4 2.693294-8 2.137962+4 2.542615-8 1.000000+5 5.434976-9 1 14000 7 0 2.808600+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.520000-6 6.520000-6 6.550000-6 6.520000-6 6.550000-6 6.530035-6 1.363000-5 6.530195-6 1.363000-5 6.543851-6 1.433000-5 6.533931-6 1.492000-5 6.568859-6 1.550000-5 6.650687-6 1.605000-5 6.779090-6 1.655000-5 6.942270-6 1.700000-5 7.128416-6 1.760000-5 7.431986-6 1.830000-5 7.853593-6 2.020000-5 9.135819-6 2.090000-5 9.561545-6 2.137962-5 9.820413-6 2.170000-5 9.978904-6 2.250000-5 1.030627-5 2.290868-5 1.044284-5 2.371374-5 1.065056-5 2.454709-5 1.079850-5 2.560000-5 1.090972-5 2.691535-5 1.096842-5 2.851018-5 1.096640-5 3.198895-5 1.085281-5 3.935501-5 1.055242-5 4.415704-5 1.040184-5 5.080000-5 1.025691-5 5.821032-5 1.015935-5 6.918310-5 1.009298-5 8.609938-5 1.008151-5 1.079800-4 1.013753-5 1.079800-4 1.679913-5 1.086700-4 1.703790-5 1.086700-4 1.734008-5 1.096500-4 1.752718-5 1.113000-4 1.769339-5 1.141000-4 1.779700-5 1.318257-4 1.788947-5 1.515500-4 1.793408-5 1.515500-4 1.908891-5 2.018366-4 1.949719-5 2.951209-4 2.013589-5 4.073803-4 2.077622-5 5.688529-4 2.153651-5 7.413102-4 2.220482-5 9.549926-4 2.287719-5 1.188502-3 2.347251-5 1.513561-3 2.411869-5 1.828500-3 2.461309-5 1.828500-3 3.844988-5 2.041738-3 3.857315-5 3.758374-3 3.881658-5 9.225714-3 3.897836-5 5.623413-2 3.906742-5 1.000000+5 3.907923-5 1 14000 7 7 2.808600+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.520000-6 0.0 1.079800-4 0.0 1.079800-4 2.199972-8 1.086000-4 2.271959-8 1.086700-4 2.278730-8 1.086700-4 2.376222-8 1.093500-4 2.422132-8 1.103000-4 2.464671-8 1.115000-4 2.496464-8 1.133000-4 2.520489-8 1.164000-4 2.535369-8 1.380384-4 2.561585-8 1.515500-4 2.569935-8 1.515500-4 2.581988-8 2.089296-4 2.588300-8 9.120108-4 2.557536-8 1.828500-3 2.537708-8 1.828500-3 7.389720-5 1.930000-3 7.434340-5 3.235937-3 7.502677-5 5.559043-3 7.539144-5 1.566751-2 7.559543-5 1.000000+5 7.559450-5 1 14000 7 9 2.808600+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.520000-6 0.0 6.550000-6 3.000000-8 6.550000-6 1.996451-8 1.363000-5 7.099805-6 1.363000-5 7.086149-6 1.439000-5 7.854491-6 1.509000-5 8.502388-6 1.566751-5 8.983180-6 1.625000-5 9.411094-6 1.687100-5 9.799689-6 1.740000-5 1.007593-5 1.808000-5 1.036499-5 1.929400-5 1.076987-5 2.020000-5 1.106418-5 2.104000-5 1.139964-5 2.170000-5 1.172110-5 2.250000-5 1.219373-5 2.330000-5 1.274754-5 2.426610-5 1.351065-5 2.511886-5 1.425072-5 2.610000-5 1.515795-5 2.800000-5 1.702706-5 3.198895-5 2.113614-5 4.220000-5 3.174340-5 5.688529-5 4.670973-5 9.332543-5 8.323028-5 1.079800-4 9.784247-5 1.079800-4 9.115887-5 1.086700-4 9.160931-5 1.086700-4 9.130616-5 1.122018-4 9.443492-5 1.515500-4 1.335902-4 1.515500-4 1.324353-4 6.839116-4 6.618874-4 1.828500-3 1.803862-3 1.828500-3 1.716153-3 1.000000+5 1.000000+5 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.828500-3 1.397793+5 1.865000-3 1.367737+5 1.890000-3 1.340314+5 1.930000-3 1.288080+5 1.950000-3 1.257426+5 2.786121-3 5.068054+4 3.054921-3 3.990231+4 3.715352-3 2.371276+4 4.365158-3 1.528534+4 5.011872-3 1.043048+4 6.025596-3 6.212684+3 7.244360-3 3.668166+3 8.709636-3 2.148715+3 1.059254-2 1.207468+3 1.288250-2 6.733051+2 1.584893-2 3.599725+2 1.972423-2 1.844034+2 2.511886-2 8.729887+1 3.198895-2 4.099398+1 4.120975-2 1.843099+1 5.559043-2 7.108644+0 1.380384-1 3.830072-1 1.717908-1 1.909308-1 2.113489-1 9.953736-2 2.454709-1 6.258379-2 2.818383-1 4.108211-2 3.198895-1 2.813498-2 3.589219-1 2.008633-2 4.000000-1 1.473513-2 4.415705-1 1.118689-2 4.841724-1 8.710912-3 5.308844-1 6.828224-3 5.821032-1 5.390631-3 6.382635-1 4.287571-3 6.998420-1 3.436921-3 7.585776-1 2.854881-3 8.317638-1 2.326156-3 9.332543-1 1.816376-3 1.000000+0 1.572800-3 1.135011+0 1.219700-3 1.250000+0 1.013100-3 1.380384+0 8.434980-4 1.513561+0 7.164444-4 1.678804+0 6.012290-4 1.883649+0 4.988697-4 2.137962+0 4.095693-4 2.426610+0 3.388969-4 2.754229+0 2.824367-4 3.198895+0 2.295461-4 3.715352+0 1.879828-4 4.365158+0 1.527462-4 5.308844+0 1.197328-4 6.382635+0 9.590058-5 8.035261+0 7.329788-5 1.023293+1 5.570910-5 1.364583+1 4.053449-5 1.905461+1 2.828250-5 2.800000+1 1.883900-5 4.570882+1 1.134030-5 8.035261+1 6.371063-6 1.603245+2 3.166982-6 6.382635+2 7.906867-7 2.018366+4 2.495781-8 1.000000+5 5.036400-9 1 14000 7 0 2.808600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.828500-3 3.988800-5 1.000000+5 3.988800-5 1 14000 7 7 2.808600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.828500-3 8.157500-5 1.000000+5 8.157500-5 1 14000 7 9 2.808600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.828500-3 1.707037-3 1.000000+5 1.000000+5 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.515500-4 4.852926+5 1.800000-4 4.557580+5 1.862087-4 4.471602+5 1.930000-4 4.347880+5 2.018366-4 4.166641+5 2.400000-4 3.471160+5 2.570396-4 3.209440+5 2.730000-4 2.975560+5 2.951209-4 2.676273+5 3.350000-4 2.231140+5 3.672823-4 1.943267+5 4.027170-4 1.678865+5 4.570882-4 1.361070+5 5.069907-4 1.139659+5 5.623413-4 9.473620+4 6.382635-4 7.504735+4 7.161434-4 6.028412+4 8.128305-4 4.701395+4 9.120108-4 3.726609+4 1.047129-3 2.797173+4 1.188502-3 2.134747+4 1.350000-3 1.615746+4 1.548817-3 1.187313+4 1.778279-3 8.641932+3 2.041738-3 6.242442+3 2.344229-3 4.475323+3 2.691535-3 3.185656+3 3.090295-3 2.252220+3 3.589219-3 1.535668+3 4.168694-3 1.039567+3 4.897788-3 6.777116+2 5.754399-3 4.384505+2 6.760830-3 2.816016+2 8.000000-3 1.760336+2 9.549926-3 1.065042+2 1.135011-2 6.475561+1 1.348963-2 3.908533+1 1.621810-2 2.263897+1 1.972423-2 1.257342+1 2.426610-2 6.692123+0 3.019952-2 3.411743+0 3.801894-2 1.665623+0 4.897788-2 7.508913-1 6.382635-2 3.240553-1 1.273503-1 3.561381-2 1.678804-1 1.478584-2 2.018366-1 8.285910-3 2.398833-1 4.850460-3 2.754229-1 3.182165-3 3.126079-1 2.177928-3 3.507519-1 1.553606-3 3.890451-1 1.153842-3 4.315191-1 8.629562-4 4.731513-1 6.710359-4 5.188000-1 5.252406-4 5.688529-1 4.139554-4 6.237348-1 3.286493-4 6.839117-1 2.629263-4 7.498942-1 2.119733-4 8.128305-1 1.767243-4 8.912509-1 1.446458-4 9.660509-1 1.221898-4 1.109175+0 9.253625-5 1.230269+0 7.566194-5 1.348963+0 6.370966-5 1.479108+0 5.400232-5 1.621810+0 4.610944-5 1.798871+0 3.888199-5 2.041738+0 3.183154-5 2.317395+0 2.626568-5 2.630268+0 2.183452-5 3.019952+0 1.798364-5 3.507519+0 1.468578-5 4.120975+0 1.190139-5 4.897788+0 9.574702-6 5.956621+0 7.539850-6 7.328245+0 5.904088-6 9.332543+0 4.474075-6 1.216186+1 3.329969-6 1.659587+1 2.374278-6 2.426610+1 1.585072-6 3.758374+1 1.004704-6 6.760830+1 5.499187-7 1.348963+2 2.729737-7 2.691535+2 1.361753-7 2.137962+3 1.706474-8 1.000000+5 3.64670-10 1 14000 7 0 2.808600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.515500-4 3.024200-5 1.000000+5 3.024200-5 1 14000 7 7 2.808600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.515500-4 2.698400-8 1.000000+5 2.698400-8 1 14000 7 9 2.808600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.515500-4 1.212810-4 1.000000+5 1.000000+5 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.086700-4 6.558400+5 1.090500-4 7.421500+5 1.093500-4 8.123500+5 1.096500-4 8.819500+5 1.099500-4 9.506100+5 1.102500-4 1.017600+6 1.105500-4 1.082600+6 1.108500-4 1.144300+6 1.112000-4 1.212200+6 1.115000-4 1.266500+6 1.118000-4 1.317000+6 1.122018-4 1.378600+6 1.125400-4 1.424700+6 1.129000-4 1.468200+6 1.133000-4 1.510000+6 1.138500-4 1.557400+6 1.144000-4 1.594500+6 1.149500-4 1.622600+6 1.155000-4 1.643500+6 1.163000-4 1.663400+6 1.173000-4 1.675800+6 1.185000-4 1.678900+6 1.318257-4 1.644071+6 1.380384-4 1.615575+6 1.440000-4 1.575261+6 1.490000-4 1.535100+6 1.531087-4 1.494100+6 1.580000-4 1.437300+6 1.640590-4 1.360700+6 1.719700-4 1.259200+6 1.840772-4 1.115500+6 1.980000-4 9.719200+5 2.089296-4 8.735400+5 2.213095-4 7.740200+5 2.350000-4 6.772100+5 2.570396-4 5.498000+5 2.900000-4 4.123000+5 3.200000-4 3.236300+5 3.507519-4 2.563800+5 4.027170-4 1.789500+5 4.472100-4 1.354000+5 5.011872-4 9.913400+4 5.688529-4 6.961400+4 6.382635-4 5.010900+4 7.328245-4 3.349600+4 8.222426-4 2.379600+4 9.500000-4 1.537500+4 1.083927-3 1.024200+4 1.244515-3 6.643900+3 1.445440-3 4.121100+3 1.659587-3 2.631300+3 1.883649-3 1.732900+3 2.162719-3 1.091400+3 2.511886-3 6.564900+2 2.917427-3 3.918600+2 3.388442-3 2.323000+2 3.981072-3 1.313000+2 4.677351-3 7.364800+1 5.559043-3 3.932500+1 6.531306-3 2.173400+1 7.762471-3 1.142500+1 9.225714-3 5.958500+0 1.096478-2 3.085000+0 1.318257-2 1.517122+0 1.621810-2 6.772694-1 2.041738-2 2.743195-1 2.818383-2 7.668389-2 5.069907-2 7.477524-3 6.606934-2 2.633952-3 8.413951-2 1.023695-3 1.011580-1 5.014658-4 1.188502-1 2.704572-4 1.396368-1 1.470055-4 1.603245-1 8.781551-5 1.819701-1 5.514377-5 2.065380-1 3.488909-5 2.317395-1 2.317845-5 2.600160-1 1.551347-5 2.884032-1 1.088378-5 3.198895-1 7.688465-6 3.548134-1 5.470323-6 3.935501-1 3.919350-6 4.315191-1 2.934109-6 4.731513-1 2.212202-6 5.128614-1 1.740038-6 5.623413-1 1.331818-6 6.309573-1 9.620752-7 6.918310-1 7.470298-7 7.498942-1 6.025709-7 8.222427-1 4.738562-7 8.810489-1 3.983557-7 9.332543-1 3.468833-7 9.885531-1 3.041127-7 1.059254+0 2.620750-7 1.135011+0 2.274933-7 1.216186+0 1.990997-7 1.318257+0 1.717104-7 1.445440+0 1.461111-7 1.659587+0 1.156264-7 1.862087+0 9.581125-8 2.089296+0 7.997702-8 2.371374+0 6.608388-8 2.691535+0 5.500648-8 3.090295+0 4.536073-8 3.589219+0 3.708496-8 4.216965+0 3.008577-8 5.069907+0 2.388461-8 6.095369+0 1.909559-8 7.585776+0 1.476675-8 9.660509+0 1.120275-8 1.273503+1 8.240540-9 1.778279+1 5.739048-9 2.630268+1 3.791397-9 4.315191+1 2.268063-9 7.762471+1 1.243824-9 1.548817+2 6.18156-10 6.165950+2 1.54292-10 1.949845+4 4.86993-12 1.000000+5 9.49390-13 1 14000 7 0 2.808600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.086700-4 1.822400-5 1.000000+5 1.822400-5 1 14000 7 7 2.808600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.086700-4 2.661400-8 1.000000+5 2.661400-8 1 14000 7 9 2.808600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.086700-4 9.041939-5 1.000000+5 1.000000+5 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.079800-4 1.328032+6 1.080900-4 1.374388+6 1.083927-4 1.516295+6 1.086000-4 1.613764+6 1.088500-4 1.731516+6 1.091000-4 1.848448+6 1.093500-4 1.963212+6 1.096500-4 2.097332+6 1.100000-4 2.247856+6 1.103000-4 2.370140+6 1.106000-4 2.485284+6 1.109500-4 2.609920+6 1.113000-4 2.723664+6 1.117000-4 2.840224+6 1.121200-4 2.947193+6 1.126000-4 3.050900+6 1.130000-4 3.123364+6 1.135500-4 3.204208+6 1.141000-4 3.266168+6 1.148154-4 3.323429+6 1.156000-4 3.362680+6 1.164000-4 3.384100+6 1.183000-4 3.399652+6 1.244515-4 3.377036+6 1.333521-4 3.307605+6 1.380384-4 3.246221+6 1.465000-4 3.121496+6 1.500000-4 3.056852+6 1.540000-4 2.969780+6 1.584893-4 2.860306+6 1.640590-4 2.716033+6 1.720000-4 2.510064+6 1.840772-4 2.221691+6 1.980000-4 1.934484+6 2.089296-4 1.737110+6 2.220000-4 1.527268+6 2.371374-4 1.317100+6 2.600160-4 1.061639+6 2.951209-4 7.832836+5 3.200000-4 6.412160+5 3.548134-4 4.926524+5 4.073803-4 3.434408+5 4.518559-4 2.602346+5 5.069907-4 1.896871+5 5.800000-4 1.300596+5 6.500000-4 9.374560+4 7.413102-4 6.381069+4 8.413951-4 4.372894+4 9.772372-4 2.774322+4 1.135011-3 1.743964+4 1.303167-3 1.127274+4 1.513561-3 6.966510+3 1.757924-3 4.267124+3 2.018366-3 2.693574+3 2.317395-3 1.688729+3 2.691535-3 1.010792+3 3.126079-3 6.005405+2 3.630781-3 3.543644+2 4.265795-3 1.992353+2 5.011872-3 1.111998+2 5.888437-3 6.159385+1 6.918310-3 3.387481+1 8.222426-3 1.771089+1 9.660509-3 9.599926+0 1.148154-2 4.943185+0 1.380384-2 2.416469+0 1.678804-2 1.121035+0 2.137962-2 4.303776-1 2.884032-2 1.303847-1 6.456542-2 5.153699-3 8.413951-2 1.796546-3 1.011580-1 8.680718-4 1.188502-1 4.625730-4 1.396368-1 2.484477-4 1.584893-1 1.534899-4 1.798871-1 9.552243-5 2.018366-1 6.250693-5 2.238721-1 4.295478-5 2.483133-1 2.972763-5 2.754229-1 2.073179-5 3.019952-1 1.515558-5 3.311311-1 1.116221-5 3.589219-1 8.600793-6 3.890451-1 6.670613-6 4.229500-1 5.160565-6 4.570882-1 4.090894-6 4.954502-1 3.235786-6 5.370318-1 2.577503-6 5.821032-1 2.068930-6 6.309573-1 1.672809-6 6.839117-1 1.362266-6 7.413102-1 1.117856-6 8.035261-1 9.233302-7 8.820400-1 7.457000-7 9.440609-1 6.402132-7 1.000000+0 5.656600-7 1.109175+0 4.572071-7 1.188502+0 3.993051-7 1.303167+0 3.360280-7 1.428894+0 2.848143-7 1.584893+0 2.381962-7 1.757924+0 2.005425-7 1.972423+0 1.668524-7 2.238721+0 1.373784-7 2.540973+0 1.139812-7 2.917427+0 9.370558-8 3.388442+0 7.638705-8 3.981072+0 6.180004-8 4.731513+0 4.964572-8 5.754399+0 3.904194-8 7.000000+0 3.093800-8 8.912509+0 2.341454-8 1.148154+1 1.762648-8 1.513561+1 1.302645-8 2.041738+1 9.451850-9 2.917427+1 6.491412-9 4.786301+1 3.889992-9 8.511380+1 2.161234-9 1.698244+2 1.074752-9 6.760830+2 2.68432-10 2.137962+4 8.47396-12 1.000000+5 1.81140-12 1 14000 7 0 2.808600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.079800-4 1.818000-5 1.000000+5 1.818000-5 1 14000 7 7 2.808600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.079800-4 2.656000-8 1.000000+5 2.656000-8 1 14000 7 9 2.808600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.079800-4 8.977344-5 1.000000+5 1.000000+5 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.363000-5 6.942878+3 1.363900-5 6.662300+3 1.367000-5 5.873000+3 1.370000-5 5.169300+3 1.372000-5 4.732520+3 1.374000-5 4.317960+3 1.377000-5 3.740380+3 1.380384-5 3.151488+3 1.382000-5 2.893940+3 1.385000-5 2.453140+3 1.387700-5 2.100320+3 1.390000-5 1.829422+3 1.393500-5 1.471632+3 1.400000-5 9.737820+2 1.402200-5 8.526980+2 1.403500-5 7.922600+2 1.405000-5 7.325980+2 1.406000-5 6.987920+2 1.407000-5 6.696900+2 1.408000-5 6.451580+2 1.409000-5 6.253420+2 1.410000-5 6.100900+2 1.411000-5 5.993740+2 1.412000-5 5.931940+2 1.413000-5 5.914740+2 1.414000-5 5.942460+2 1.415000-5 6.014240+2 1.415700-5 6.090200+2 1.416800-5 6.253840+2 1.418000-5 6.491900+2 1.419000-5 6.737520+2 1.420000-5 7.026200+2 1.421500-5 7.538200+2 1.423000-5 8.144740+2 1.425000-5 9.098260+2 1.433000-5 1.451942+3 1.436000-5 1.719236+3 1.439000-5 2.020180+3 1.442000-5 2.353880+3 1.445000-5 2.719920+3 1.448000-5 3.117380+3 1.451000-5 3.545620+3 1.454000-5 4.003900+3 1.457000-5 4.491840+3 1.460000-5 5.008320+3 1.463500-5 5.646180+3 1.467000-5 6.321020+3 1.471000-5 7.136220+3 1.475000-5 7.996900+3 1.479108-5 8.926509+3 1.483500-5 9.969740+3 1.487000-5 1.083650+4 1.492000-5 1.212770+4 1.497000-5 1.347864+4 1.503000-5 1.517462+4 1.509000-5 1.694986+4 1.515000-5 1.879994+4 1.522000-5 2.104740+4 1.528000-5 2.304640+4 1.535000-5 2.545900+4 1.542000-5 2.795080+4 1.550000-5 3.089120+4 1.557000-5 3.353800+4 1.566751-5 3.733224+4 1.577900-5 4.180948+4 1.585000-5 4.473080+4 1.595000-5 4.892780+4 1.605000-5 5.321520+4 1.615000-5 5.758160+4 1.625000-5 6.201620+4 1.640590-5 6.905100+4 1.655000-5 7.565860+4 1.670000-5 8.262280+4 1.687100-5 9.063929+4 1.700000-5 9.672200+4 1.720000-5 1.061878+5 1.740000-5 1.156608+5 1.760000-5 1.251088+5 1.785000-5 1.368414+5 1.808000-5 1.475210+5 1.830000-5 1.576050+5 1.862087-5 1.720451+5 1.885000-5 1.821346+5 1.920000-5 1.971454+5 1.950000-5 2.096020+5 1.990000-5 2.255880+5 2.020000-5 2.371000+5 2.065380-5 2.537046+5 2.113489-5 2.702559+5 2.170000-5 2.883100+5 2.230000-5 3.058900+5 2.290868-5 3.221339+5 2.350000-5 3.364600+5 2.426610-5 3.530177+5 2.511886-5 3.689889+5 2.610000-5 3.844520+5 2.691535-5 3.951754+5 2.800000-5 4.067940+5 2.917427-5 4.163998+5 3.054921-5 4.242895+5 3.198895-5 4.292661+5 3.350000-5 4.314900+5 3.507519-5 4.311548+5 3.715352-5 4.274698+5 3.935501-5 4.204942+5 4.168694-5 4.105696+5 4.415704-5 3.981014+5 4.677351-5 3.834999+5 5.000000-5 3.644880+5 5.308844-5 3.459537+5 5.688529-5 3.234865+5 6.150000-5 2.975360+5 6.683439-5 2.699915+5 7.328245-5 2.405725+5 8.128305-5 2.096957+5 9.225714-5 1.758781+5 1.059254-4 1.439789+5 1.202264-4 1.189759+5 1.380384-4 9.589807+4 2.137962-4 4.751091+4 2.454709-4 3.784566+4 2.818383-4 2.992512+4 3.349654-4 2.214269+4 3.935501-4 1.659767+4 4.786301-4 1.159549+4 5.495409-4 8.941721+3 6.237348-4 6.995375+3 7.079458-4 5.431958+3 8.317638-4 3.902947+3 9.549926-4 2.920969+3 1.096478-3 2.170253+3 1.273503-3 1.560991+3 1.479108-3 1.114183+3 1.717908-3 7.894461+2 2.000000-3 5.519741+2 2.317395-3 3.872016+2 2.691535-3 2.680183+2 3.126079-3 1.841265+2 3.630781-3 1.255608+2 4.216965-3 8.501574+1 4.954502-3 5.543335+1 5.821032-3 3.586219+1 6.839116-3 2.303111+1 8.128305-3 1.422057+1 9.660509-3 8.714897+0 1.148154-2 5.300493+0 1.380384-2 3.093964+0 1.659587-2 1.792007+0 2.018366-2 9.952141-1 2.483133-2 5.296261-1 3.090295-2 2.699654-1 3.890451-2 1.317779-1 5.011872-2 5.935743-2 6.998420-2 2.055842-2 8.709636-2 1.021771-2 1.303167-1 2.810277-3 1.640590-1 1.352594-3 2.000000-1 7.261800-4 2.344229-1 4.431762-4 2.691535-1 2.904472-4 3.054921-1 1.985451-4 3.427678-1 1.414153-4 3.801894-1 1.048729-4 4.216965-1 7.831111-5 4.677351-1 5.892346-5 5.128614-1 4.607942-5 5.623413-1 3.629054-5 6.165950-1 2.879234-5 6.760830-1 2.302134-5 7.413102-1 1.854986-5 8.128305-1 1.506434-5 8.912509-1 1.233115-5 9.660509-1 1.041775-5 1.109175+0 7.891045-6 1.230269+0 6.452085-6 1.348963+0 5.432582-6 1.479108+0 4.604538-6 1.621810+0 3.931461-6 1.798871+0 3.315214-6 2.041738+0 2.714051-6 2.317395+0 2.239496-6 2.630268+0 1.861720-6 3.019952+0 1.533396-6 3.507519+0 1.252124-6 4.120975+0 1.014694-6 4.897788+0 8.163655-7 5.956621+0 6.428719-7 7.328245+0 5.034103-7 9.332543+0 3.814725-7 1.216186+1 2.839259-7 1.659587+1 2.024379-7 2.426610+1 1.351507-7 3.630781+1 8.878444-8 6.456542+1 4.914221-8 1.288250+2 2.438308-8 2.570396+2 1.216000-8 2.041738+3 1.523670-9 1.000000+5 3.10930-11 1 14000 7 0 2.808600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.363000-5 1.363000-5 1.000000+5 1.363000-5 1 14000 7 9 2.808600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.363000-5 0.0 1.000000+5 1.000000+5 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 6.550000-6 1.351854+7 6.839116-6 1.262090+7 7.100000-6 1.180914+7 7.350000-6 1.105241+7 7.600000-6 1.031687+7 7.852356-6 9.593776+6 8.128305-6 8.838420+6 8.413951-6 8.096323+6 8.709636-6 7.370668+6 9.015711-6 6.667710+6 9.350000-6 5.958963+6 9.700000-6 5.282129+6 1.000000-5 4.753489+6 1.035142-5 4.191685+6 1.071519-5 3.671943+6 1.110000-5 3.185682+6 1.150000-5 2.743628+6 1.190000-5 2.360121+6 1.230269-5 2.026423+6 1.273503-5 1.719883+6 1.318257-5 1.450987+6 1.365000-5 1.215147+6 1.420000-5 9.872138+5 1.480000-5 7.887071+5 1.548817-5 6.120260+5 1.640590-5 4.401481+5 1.800000-5 2.571388+5 1.870000-5 2.072748+5 1.929400-5 1.748578+5 1.980000-5 1.529214+5 2.020000-5 1.386294+5 2.065380-5 1.251528+5 2.104000-5 1.156402+5 2.137962-5 1.085533+5 2.170000-5 1.028274+5 2.210000-5 9.682205+4 2.250000-5 9.191871+4 2.290868-5 8.788399+4 2.330000-5 8.481338+4 2.371374-5 8.228897+4 2.410000-5 8.050737+4 2.454709-5 7.903364+4 2.500000-5 7.808471+4 2.560000-5 7.751871+4 2.610000-5 7.753271+4 2.675200-5 7.806823+4 2.754229-5 7.930489+4 2.851018-5 8.141605+4 3.000000-5 8.536938+4 3.311311-5 9.409450+4 3.507519-5 9.893338+4 3.672823-5 1.023626+5 3.850000-5 1.053267+5 4.027170-5 1.075416+5 4.220000-5 1.091314+5 4.415704-5 1.099551+5 4.623810-5 1.100568+5 4.850000-5 1.093687+5 5.080000-5 1.079721+5 5.308844-5 1.060429+5 5.559043-5 1.034396+5 5.821032-5 1.003047+5 6.165950-5 9.580889+4 6.531306-5 9.079001+4 6.918310-5 8.544651+4 7.328245-5 7.992995+4 7.852356-5 7.323886+4 8.413951-5 6.665809+4 9.120108-5 5.927371+4 9.900000-5 5.218083+4 1.071519-4 4.582800+4 1.161449-4 3.988286+4 1.273503-4 3.375940+4 1.428894-4 2.716089+4 1.659587-4 2.027256+4 1.900000-4 1.545574+4 2.089296-4 1.269652+4 2.290868-4 1.042264+4 2.540973-4 8.285037+3 2.818383-4 6.536895+3 3.126079-4 5.121608+3 3.507519-4 3.876054+3 3.981072-4 2.829819+3 4.466836-4 2.114880+3 4.954502-4 1.616443+3 5.495409-4 1.225615+3 6.095369-4 9.222950+2 6.839116-4 6.674935+2 7.762471-4 4.646090+2 8.810489-4 3.210354+2 1.000000-3 2.202203+2 1.135011-3 1.500312+2 1.303167-3 9.794493+1 1.496236-3 6.343972+1 1.717908-3 4.078429+1 1.972423-3 2.601789+1 2.264644-3 1.646339+1 2.600160-3 1.033949+1 3.019952-3 6.197246+0 3.507519-3 3.687057+0 4.073803-3 2.177458+0 4.731513-3 1.276852+0 5.559043-3 7.132759-1 6.531306-3 3.954664-1 7.673615-3 2.176613-1 9.120108-3 1.138977-1 1.071519-2 6.179289-2 1.288250-2 3.048222-2 1.566751-2 1.427735-2 1.972423-2 5.801613-3 2.630268-2 1.865738-3 5.248075-2 1.210899-4 7.079458-2 3.725254-5 8.709636-2 1.658441-5 1.059254-1 7.782682-6 1.244515-1 4.203554-6 1.445440-1 2.390331-6 1.659587-1 1.430285-6 1.883649-1 8.996340-7 2.137962-1 5.700548-7 2.398833-1 3.791765-7 2.691535-1 2.541097-7 3.000000-1 1.755700-7 3.311311-1 1.262882-7 3.672823-1 9.002096-8 4.073803-1 6.466615-8 4.466836-1 4.851523-8 4.897788-1 3.665227-8 5.370318-1 2.790452-8 5.888437-1 2.140245-8 6.456542-1 1.652423-8 7.079458-1 1.284870-8 7.762471-1 1.006753-8 8.609938-1 7.693315-9 9.120108-1 6.664499-9 9.660509-1 5.812170-9 1.011579+0 5.239729-9 1.083927+0 4.520227-9 1.148154+0 4.022266-9 1.230269+0 3.525139-9 1.333521+0 3.045279-9 1.462177+0 2.596138-9 1.698244+0 2.017720-9 1.905461+0 1.674159-9 2.137962+0 1.399476-9 2.426610+0 1.157997-9 2.754229+0 9.65090-10 3.198895+0 7.84380-10 3.715352+0 6.42364-10 4.365158+0 5.21946-10 5.248075+0 4.14941-10 6.309573+0 3.32203-10 7.943282+0 2.53802-10 1.000000+1 1.95340-10 1.318257+1 1.43829-10 1.840772+1 1.00264-10 2.722701+1 6.62856-11 4.466836+1 3.96784-11 7.943282+1 2.20256-11 1.584893+2 1.09477-11 6.309573+2 2.73316-12 1.995262+4 8.62683-14 1.000000+5 1.72100-14 1 14000 7 0 2.808600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 6.550000-6 6.550000-6 1.000000+5 6.550000-6 1 14000 7 9 2.808600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.550000-6 0.0 1.000000+5 1.000000+5 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 6.520000-6 2.709673+7 6.839116-6 2.505576+7 7.100000-6 2.342287+7 7.350000-6 2.189768+7 7.673615-6 1.998462+7 7.943282-6 1.845676+7 8.222426-6 1.694911+7 8.511380-6 1.547663+7 8.850000-6 1.386370+7 9.200000-6 1.232852+7 9.549926-6 1.092796+7 9.885531-6 9.709203+6 1.023293-5 8.570321+6 1.060000-5 7.495261+6 1.100000-5 6.462797+6 1.135011-5 5.668195+6 1.180000-5 4.781748+6 1.216186-5 4.166860+6 1.258925-5 3.539572+6 1.310000-5 2.911753+6 1.365000-5 2.360634+6 1.420000-5 1.916129+6 1.480000-5 1.529383+6 1.548817-5 1.185457+6 1.650000-5 8.238886+5 1.795500-5 5.050694+5 1.862087-5 4.113954+5 1.920000-5 3.484618+5 1.972423-5 3.033382+5 2.020000-5 2.703167+5 2.055000-5 2.500714+5 2.090000-5 2.327728+5 2.130000-5 2.161395+5 2.170000-5 2.023942+5 2.210000-5 1.911249+5 2.250000-5 1.819782+5 2.290868-5 1.745093+5 2.330000-5 1.688809+5 2.371374-5 1.643153+5 2.410000-5 1.611529+5 2.454709-5 1.586182+5 2.500000-5 1.570863+5 2.560000-5 1.563663+5 2.610000-5 1.566836+5 2.675200-5 1.580681+5 2.754229-5 1.608403+5 2.851018-5 1.653340+5 3.300000-5 1.904835+5 3.500000-5 2.003822+5 3.672823-5 2.074893+5 3.850000-5 2.132501+5 4.027170-5 2.174994+5 4.220000-5 2.205088+5 4.415704-5 2.219581+5 4.623810-5 2.219191+5 4.841724-5 2.204289+5 5.080000-5 2.173808+5 5.308844-5 2.132975+5 5.559043-5 2.078903+5 5.821032-5 2.014912+5 6.150000-5 1.926902+5 6.531306-5 1.820653+5 6.918310-5 1.712278+5 7.413102-5 1.577891+5 7.943282-5 1.443111+5 8.609938-5 1.289611+5 9.332543-5 1.143086+5 1.000000-4 1.025076+5 1.096478-4 8.791255+4 1.202264-4 7.473384+4 1.318257-4 6.303885+4 1.479108-4 5.055495+4 1.737801-4 3.676888+4 1.955530-4 2.893913+4 2.137962-4 2.401620+4 2.344229-4 1.967498+4 2.600160-4 1.560101+4 2.884032-4 1.227803+4 3.235937-4 9.334634+3 3.630781-4 7.043500+3 4.216965-4 4.840004+3 4.731513-4 3.601898+3 5.188000-4 2.825038+3 5.754399-4 2.133256+3 6.382635-4 1.599153+3 7.413102-4 1.044684+3 8.413951-4 7.233093+2 9.549926-4 4.971075+2 1.083927-3 3.392353+2 1.230269-3 2.299091+2 1.412538-3 1.492480+2 1.621810-3 9.614928+1 1.862087-3 6.146559+1 2.089296-3 4.206630+1 2.398833-3 2.647885+1 2.754229-3 1.654465+1 3.235937-3 9.480655+0 3.758374-3 5.611547+0 4.365158-3 3.297627+0 5.069907-3 1.924340+0 5.956621-3 1.069206+0 6.998420-3 5.895042-1 8.222426-3 3.226262-1 9.772372-3 1.677987-1 1.161449-2 8.655954-2 1.396368-2 4.239528-2 1.698244-2 1.970415-2 2.137962-2 7.932387-3 2.818383-2 2.639132-3 5.623413-2 1.659937-4 7.585776-2 5.024007-5 9.332543-2 2.211733-5 1.122019-1 1.074230-5 1.303167-1 6.014924-6 1.500000-1 3.512600-6 1.698244-1 2.199389-6 1.905461-1 1.434403-6 2.137962-1 9.424958-7 2.371374-1 6.504845-7 2.630268-1 4.523395-7 2.884032-1 3.297489-7 3.162278-1 2.420702-7 3.467369-1 1.790577-7 3.758374-1 1.384618-7 4.073803-1 1.078216-7 4.415705-1 8.452621-8 4.786301-1 6.671950-8 5.188000-1 5.303168-8 5.623413-1 4.245500-8 6.095369-1 3.424599-8 6.606935-1 2.785025-8 7.161434-1 2.282164-8 7.762471-1 1.883995-8 8.413951-1 1.565773-8 9.120108-1 1.310653-8 9.885531-1 1.105723-8 1.122018+0 8.561698-9 1.230269+0 7.164564-9 1.348963+0 6.037119-9 1.479108+0 5.120508-9 1.621810+0 4.373073-9 1.798871+0 3.687518-9 2.018366+0 3.072920-9 2.290868+0 2.533678-9 2.600160+0 2.104944-9 3.000000+0 1.721100-9 3.467369+0 1.414112-9 4.073803+0 1.145337-9 4.841724+0 9.21010-10 5.888437+0 7.24947-10 7.244360+0 5.67433-10 9.225714+0 4.29829-10 1.202264+1 3.19813-10 1.603245+1 2.33698-10 2.238721+1 1.63652-10 3.235937+1 1.11266-10 5.432503+1 6.52127-11 1.023293+2 3.42311-11 2.041738+2 1.70443-11 8.128305+2 4.26124-12 1.000000+5 3.45810-14 1 14000 7 0 2.808600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 6.520000-6 6.520000-6 1.000000+5 6.520000-6 1 14000 7 9 2.808600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 6.520000-6 0.0 1.000000+5 1.000000+5 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 7.626570-9 1.028750+0 7.626570-8 1.036640+0 7.626570-7 1.038200+0 1.029230-6 1.039700+0 1.337180-6 1.041500+0 1.779100-6 1.043800+0 2.469450-6 1.046400+0 3.435780-6 1.048300+0 4.277640-6 1.051200+0 5.802520-6 1.054080+0 7.626570-6 1.057700+0 1.039550-5 1.061100+0 1.352180-5 1.065100+0 1.790120-5 1.070400+0 2.497380-5 1.076200+0 3.451350-5 1.080600+0 4.310160-5 1.087100+0 5.807270-5 1.093710+0 7.626570-5 1.102600+0 1.057480-4 1.110700+0 1.379280-4 1.120600+0 1.845260-4 1.133300+0 2.565940-4 1.147500+0 3.543270-4 1.158200+0 4.403550-4 1.174100+0 5.884550-4 1.190110+0 7.626570-4 1.205100+0 9.488170-4 1.227500+0 1.269300-3 1.250000+0 1.642000-3 1.281300+0 2.244140-3 1.308600+0 2.847370-3 1.332500+0 3.433490-3 1.374400+0 4.586660-3 1.405800+0 5.551050-3 1.452900+0 7.148900-3 1.500000+0 8.917000-3 1.562500+0 1.150390-2 1.617200+0 1.397140-2 1.712900+0 1.869200-2 1.784700+0 2.252250-2 1.892300+0 2.864100-2 2.000000+0 3.513000-2 2.044000+0 3.786000-2 2.163500+0 4.542230-2 2.372600+0 5.896550-2 2.647100+0 7.691670-2 3.000000+0 9.978000-2 3.437500+0 1.274030-1 4.000000+0 1.612000-1 4.750000+0 2.027990-1 5.000000+0 2.159000-1 6.000000+0 2.648000-1 7.000000+0 3.083000-1 8.000000+0 3.475000-1 9.000000+0 3.830000-1 1.000000+1 4.153000-1 1.100000+1 4.445000-1 1.200000+1 4.714000-1 1.300000+1 4.963000-1 1.400000+1 5.194000-1 1.500000+1 5.411000-1 1.600000+1 5.614000-1 1.800000+1 5.986000-1 2.000000+1 6.318000-1 2.200000+1 6.619000-1 2.400000+1 6.893000-1 2.600000+1 7.144000-1 2.800000+1 7.375000-1 3.000000+1 7.589000-1 4.000000+1 8.472000-1 5.000000+1 9.133000-1 6.000000+1 9.652000-1 8.000000+1 1.043000+0 1.000000+2 1.098000+0 1.500000+2 1.188000+0 2.000000+2 1.242000+0 3.000000+2 1.307000+0 4.000000+2 1.345000+0 5.000000+2 1.370000+0 6.000000+2 1.388000+0 8.000000+2 1.413000+0 1.000000+3 1.429000+0 1.500000+3 1.452000+0 2.000000+3 1.464000+0 3.000000+3 1.478000+0 4.000000+3 1.486000+0 5.000000+3 1.490000+0 6.000000+3 1.494000+0 8.000000+3 1.498000+0 1.000000+4 1.501000+0 1.500000+4 1.504000+0 2.000000+4 1.506000+0 3.000000+4 1.509000+0 4.000000+4 1.510000+0 5.000000+4 1.510000+0 6.000000+4 1.511000+0 8.000000+4 1.511000+0 1.000000+5 1.512000+0 1 14000 7 8 2.808600+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 14000 7 9 2.808600+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 1.405920-7 2.127900+0 1.070120-6 2.136250+0 1.405920-6 2.147000+0 1.927620-6 2.156900+0 2.503740-6 2.169000+0 3.341400-6 2.184500+0 4.644650-6 2.201800+0 6.426010-6 2.214800+0 8.006310-6 2.234200+0 1.076990-5 2.253680+0 1.405920-5 2.281500+0 1.969240-5 2.307000+0 2.586590-5 2.338200+0 3.477900-5 2.377400+0 4.816480-5 2.410200+0 6.125750-5 2.446800+0 7.792310-5 2.485900+0 9.810940-5 2.532900+0 1.255590-4 2.556430+0 1.405920-4 2.611900+0 1.792700-4 2.660400+0 2.167270-4 2.745300+0 2.900730-4 2.809000+0 3.512940-4 2.904500+0 4.525450-4 3.000000+0 5.649000-4 3.125000+0 7.284430-4 3.234400+0 8.863900-4 3.425800+0 1.193760-3 3.569300+0 1.447670-3 3.784700+0 1.861250-3 4.000000+0 2.306000-3 4.250000+0 2.849930-3 4.625000+0 3.705220-3 5.000000+0 4.595000-3 5.500000+0 5.817480-3 6.000000+0 7.058000-3 6.750000+0 8.907140-3 7.000000+0 9.516000-3 8.000000+0 1.190000-2 9.000000+0 1.419000-2 1.000000+1 1.637000-2 1.100000+1 1.843000-2 1.200000+1 2.038000-2 1.300000+1 2.223000-2 1.400000+1 2.399000-2 1.500000+1 2.566000-2 1.600000+1 2.725000-2 1.800000+1 3.020000-2 2.000000+1 3.290000-2 2.200000+1 3.539000-2 2.400000+1 3.768000-2 2.600000+1 3.981000-2 2.800000+1 4.179000-2 3.000000+1 4.364000-2 4.000000+1 5.140000-2 5.000000+1 5.739000-2 6.000000+1 6.222000-2 8.000000+1 6.961000-2 1.000000+2 7.511000-2 1.500000+2 8.443000-2 2.000000+2 9.045000-2 3.000000+2 9.805000-2 4.000000+2 1.027000-1 5.000000+2 1.060000-1 6.000000+2 1.085000-1 8.000000+2 1.119000-1 1.000000+3 1.142000-1 1.500000+3 1.177000-1 2.000000+3 1.197000-1 3.000000+3 1.219000-1 4.000000+3 1.232000-1 5.000000+3 1.240000-1 6.000000+3 1.246000-1 8.000000+3 1.253000-1 1.000000+4 1.258000-1 1.500000+4 1.265000-1 2.000000+4 1.268000-1 3.000000+4 1.272000-1 4.000000+4 1.275000-1 5.000000+4 1.276000-1 6.000000+4 1.277000-1 8.000000+4 1.278000-1 1.000000+5 1.279000-1 1 14000 7 8 2.808600+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 14000 7 9 2.808600+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 1.400000+1 1.000000+5 1.400000+1 5.000000+5 1.399300+1 7.187500+5 1.398480+1 9.062500+5 1.397900+1 1.000000+6 1.397500+1 1.500000+6 1.394600+1 1.875000+6 1.391560+1 2.000000+6 1.390500+1 2.500000+6 1.385200+1 3.000000+6 1.378800+1 3.500000+6 1.371380+1 4.000000+6 1.363100+1 4.500000+6 1.353740+1 5.000000+6 1.343800+1 5.687500+6 1.328680+1 6.000000+6 1.321410+1 6.156200+6 1.317580+1 6.718700+6 1.303750+1 7.000000+6 1.296600+1 7.500000+6 1.283430+1 8.000000+6 1.270030+1 8.250000+6 1.263120+1 9.000000+6 1.242300+1 9.750000+6 1.220990+1 1.000000+7 1.213900+1 1.062500+7 1.195990+1 1.125000+7 1.178250+1 1.156300+7 1.169340+1 1.250000+7 1.143200+1 1.359400+7 1.113420+1 1.437500+7 1.092830+1 1.500000+7 1.076900+1 1.625000+7 1.046320+1 1.750000+7 1.017900+1 1.937500+7 9.789140+0 2.000000+7 9.669300+0 2.250000+7 9.231190+0 2.500000+7 8.852100+0 3.000000+7 8.223200+0 3.500000+7 7.692490+0 3.750000+7 7.442660+0 3.875000+7 7.319780+0 4.000000+7 7.197700+0 4.250000+7 6.954310+0 4.625000+7 6.591680+0 5.000000+7 6.232400+0 5.250000+7 5.994550+0 5.625000+7 5.643670+0 6.000000+7 5.303100+0 6.437500+7 4.920920+0 6.750000+7 4.660920+0 6.812500+7 4.609990+0 7.000000+7 4.461000+0 7.500000+7 4.084270+0 7.750000+7 3.908430+0 8.000000+7 3.741100+0 8.750000+7 3.288560+0 9.000000+7 3.154100+0 1.000000+8 2.692200+0 1.109400+8 2.309170+0 1.125000+8 2.263360+0 1.203100+8 2.061300+0 1.250000+8 1.959500+0 1.335900+8 1.804720+0 1.429700+8 1.672380+0 1.437500+8 1.662740+0 1.500000+8 1.592500+0 1.562500+8 1.532830+0 1.671900+8 1.446720+0 1.835900+8 1.344860+0 1.875000+8 1.323620+0 2.000000+8 1.260400+0 2.250000+8 1.147850+0 2.500000+8 1.051300+0 2.671900+8 9.916630-1 2.789100+8 9.509040-1 2.894500+8 9.126760-1 3.000000+8 8.725000-1 3.500000+8 6.936000-1 3.812500+8 6.206400-1 3.937500+8 5.923630-1 4.000000+8 5.774000-1 4.121100+8 5.466260-1 4.231000+8 5.177900-1 4.371900+8 4.810280-1 4.461700+8 4.583090-1 5.000000+8 3.450000-1 5.500000+8 2.746640-1 5.750000+8 2.457640-1 5.937500+8 2.254670-1 6.000000+8 2.189000-1 6.562500+8 1.674040-1 6.718800+8 1.566490-1 6.859400+8 1.484470-1 7.000000+8 1.416000-1 7.125000+8 1.366090-1 7.343800+8 1.294150-1 7.671900+8 1.199550-1 7.835900+8 1.150190-1 7.959000+8 1.110030-1 8.000000+8 1.096000-1 8.125000+8 1.050910-1 8.297100+8 9.853780-2 8.455000+8 9.238860-2 8.648200+8 8.493060-2 8.817100+8 7.863270-2 9.112900+8 6.834850-2 9.889100+8 4.787020-2 1.000000+9 4.560000-2 1.031300+9 4.015990-2 1.060500+9 3.598140-2 1.100900+9 3.126850-2 1.137900+9 2.777110-2 1.162000+9 2.581720-2 1.500000+9 1.111600-2 1.562500+9 9.638750-3 1.617200+9 8.517170-3 1.712900+9 6.885920-3 1.856400+9 5.069750-3 2.000000+9 3.801100-3 5.000000+9 1.116900-4 8.000000+9 1.820500-5 9.500000+9 9.418400-6 1.00000+10 7.743700-6 1.20500+10 3.817950-6 1.41820+10 2.069880-6 1.71170+10 1.027420-6 2.01490+10 5.628770-7 2.26440+10 3.670230-7 2.74790+10 1.816710-7 3.41360+10 8.326330-8 4.02450+10 4.632390-8 4.77140+10 2.539100-8 5.73000+10 1.337670-8 6.79750+10 7.393480-9 7.94120+10 4.328750-9 9.31370+10 2.510730-9 1.00000+11 1.971800-9 1.26840+11 8.84353-10 1.58400+11 4.21349-10 2.07460+11 1.72962-10 2.55250+11 8.78916-11 3.65300+11 2.76360-11 5.05370+11 9.83190-12 8.52890+11 1.90626-12 1.34130+12 4.71854-13 2.64130+12 6.04034-14 6.55190+12 4.03815-15 1.00000+14 1.40480-18 5.62340+14 8.64710-21 5.42470+15 9.90279-24 1.00000+17 1.50940-27 1 14000 7 0 2.808600+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 3.50000-12 1.000000+2 3.50000-10 1.000000+3 3.500000-8 1.000000+4 3.500000-6 1.000000+5 3.500000-4 5.000000+5 8.750000-3 7.187500+5 1.808105-2 9.062500+5 2.874512-2 1.000000+6 3.500000-2 1.500000+6 7.900000-2 1.875000+6 1.226030-1 2.000000+6 1.391000-1 2.500000+6 2.148000-1 3.000000+6 3.049000-1 3.500000+6 4.080350-1 4.000000+6 5.229000-1 4.500000+6 6.481200-1 5.000000+6 7.820000-1 5.687500+6 9.770350-1 6.000000+6 1.069000+0 6.156200+6 1.115610+0 6.718700+6 1.285880+0 7.000000+6 1.372400+0 7.500000+6 1.527090+0 8.000000+6 1.682370+0 8.250000+6 1.760040+0 9.000000+6 1.991500+0 9.750000+6 2.218550+0 1.000000+7 2.293000+0 1.062500+7 2.475220+0 1.125000+7 2.652160+0 1.156300+7 2.738590+0 1.250000+7 2.988400+0 1.359400+7 3.262310+0 1.437500+7 3.446220+0 1.500000+7 3.587000+0 1.625000+7 3.850330+0 1.750000+7 4.092100+0 1.937500+7 4.419250+0 2.000000+7 4.520000+0 2.250000+7 4.888710+0 2.500000+7 5.217500+0 3.000000+7 5.808000+0 3.500000+7 6.364020+0 3.750000+7 6.635100+0 3.875000+7 6.769890+0 4.000000+7 6.903000+0 4.250000+7 7.168400+0 4.625000+7 7.558520+0 5.000000+7 7.937000+0 5.250000+7 8.180250+0 5.625000+7 8.532320+0 6.000000+7 8.867000+0 6.437500+7 9.233760+0 6.750000+7 9.479500+0 6.812500+7 9.526670+0 7.000000+7 9.667000+0 7.500000+7 1.001480+1 7.750000+7 1.017650+1 8.000000+7 1.033000+1 8.750000+7 1.074140+1 9.000000+7 1.086400+1 1.000000+8 1.128600+1 1.109400+8 1.164410+1 1.125000+8 1.168770+1 1.203100+8 1.188550+1 1.250000+8 1.199000+1 1.335900+8 1.215440+1 1.429700+8 1.230690+1 1.437500+8 1.231860+1 1.500000+8 1.240800+1 1.562500+8 1.248980+1 1.671900+8 1.261940+1 1.835900+8 1.278830+1 1.875000+8 1.282480+1 2.000000+8 1.293700+1 2.250000+8 1.313400+1 2.500000+8 1.330200+1 2.671900+8 1.340040+1 2.789100+8 1.346110+1 2.894500+8 1.351190+1 3.000000+8 1.355800+1 3.500000+8 1.372600+1 3.812500+8 1.379720+1 3.937500+8 1.382060+1 4.000000+8 1.383200+1 4.121100+8 1.385000+1 4.231000+8 1.386600+1 4.371900+8 1.388250+1 4.461700+8 1.389240+1 5.000000+8 1.393700+1 5.500000+8 1.396060+1 5.750000+8 1.396800+1 5.937500+8 1.397330+1 6.000000+8 1.397500+1 6.562500+8 1.398450+1 6.718800+8 1.398700+1 6.859400+8 1.398860+1 7.000000+8 1.399000+1 7.125000+8 1.399070+1 7.343800+8 1.399180+1 7.671900+8 1.399340+1 7.835900+8 1.399420+1 7.959000+8 1.399480+1 8.000000+8 1.399500+1 8.125000+8 1.399530+1 8.297100+8 1.399570+1 8.455000+8 1.399600+1 8.648200+8 1.399640+1 8.817100+8 1.399670+1 9.112900+8 1.399730+1 9.889100+8 1.399880+1 1.000000+9 1.399900+1 1.031300+9 1.399910+1 1.060500+9 1.399910+1 1.100900+9 1.399920+1 1.137900+9 1.399930+1 1.162000+9 1.399940+1 1.500000+9 1.400000+1 1.562500+9 1.400000+1 1.617200+9 1.400000+1 1.712900+9 1.400000+1 1.856400+9 1.400000+1 2.000000+9 1.400000+1 5.000000+9 1.400000+1 8.000000+9 1.400000+1 9.500000+9 1.400000+1 1.00000+10 1.400000+1 1.20500+10 1.400000+1 1.41820+10 1.400000+1 1.71170+10 1.400000+1 2.01490+10 1.400000+1 2.26440+10 1.400000+1 2.74790+10 1.400000+1 3.41360+10 1.400000+1 4.02450+10 1.400000+1 4.77140+10 1.400000+1 5.73000+10 1.400000+1 6.79750+10 1.400000+1 7.94120+10 1.400000+1 9.31370+10 1.400000+1 1.00000+11 1.400000+1 1.26840+11 1.400000+1 1.58400+11 1.400000+1 2.07460+11 1.400000+1 2.55250+11 1.400000+1 3.65300+11 1.400000+1 5.05370+11 1.400000+1 8.52890+11 1.400000+1 1.34130+12 1.400000+1 2.64130+12 1.400000+1 6.55190+12 1.400000+1 1.00000+14 1.400000+1 5.62340+14 1.400000+1 5.42470+15 1.400000+1 1.00000+17 1.400000+1 1 14000 7 0 2.808600+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.023501-6 0.0 3.527446-6 0.0 3.540747-6 4.911148-1 3.544811-6 6.393138-1 3.553493-6 1.167759+0 3.562176-6 1.969002+0 3.572838-6 3.549721+0 3.584622-6 5.665540+0 3.598051-6 8.245726+0 3.607369-6 9.701948+0 3.617391-6 1.062063+1 3.626010-6 1.079691+1 3.634835-6 1.035873+1 3.644572-6 9.270979+0 3.657882-6 7.173287+0 3.675047-6 4.274621+0 3.683729-6 3.044576+0 3.694519-6 1.805707+0 3.701094-6 1.138454+0 3.703289-6 1.000684+0 3.712059-6 5.963362-1 3.720828-6 3.280494-1 3.733983-6 8.339150-2 3.738368-6 0.0 4.392680-6 0.0 4.396174-6 1.067984-7 4.414304-6 1.199953-6 4.417815-6 1.479881-6 4.425116-6 2.207613-6 4.428636-6 2.649298-6 4.431699-6 3.111891-6 4.435928-6 3.877491-6 4.442607-6 5.359403-6 4.450277-6 7.250456-6 4.464424-6 1.154417-5 4.482739-6 1.763792-5 4.493602-6 2.061038-5 4.504502-6 2.250642-5 4.515401-6 2.300591-5 4.526301-6 2.206196-5 4.540780-6 1.903398-5 4.569898-6 1.016770-5 4.580798-6 7.214309-6 4.587296-6 5.708473-6 4.595320-6 4.137897-6 4.606230-6 2.330714-6 4.608920-6 1.956128-6 4.612586-6 1.562497-6 4.617136-6 1.217621-6 4.628045-6 6.698234-7 4.638953-6 3.401437-7 4.649861-6 0.0 4.836310-6 0.0 4.836340-6 2.162578-4 4.858660-6 1.636051+0 4.860148-6 1.744112+0 4.872052-6 3.193482+0 4.883956-6 5.811866+0 4.895860-6 9.225319+0 4.909339-6 1.424245+1 4.931823-6 2.369863+1 4.944564-6 2.819559+1 4.956906-6 3.093192+1 4.969667-6 3.149892+1 4.981730-6 2.991983+1 4.995164-6 2.608652+1 5.022194-6 1.557903+1 5.027754-6 1.334062+1 5.039746-6 9.218118+0 5.051737-6 5.970751+0 5.063729-6 3.615681+0 5.074420-6 1.846367+0 5.075720-6 1.735581+0 5.087712-6 1.090241+0 5.099703-6 7.917360-1 5.111695-6 5.236224-1 5.126786-6 8.283644-1 5.148535-6 1.318566+0 5.160962-6 1.559375+0 5.173390-6 1.718298+0 5.185818-6 1.766556+0 5.198245-6 1.696663+0 5.213780-6 1.463515+0 5.240966-6 8.960809-1 5.247956-6 7.445439-1 5.260384-6 5.143943-1 5.272812-6 3.326043-1 5.285240-6 2.010785-1 5.297667-6 8.967989-2 5.309912-6 4.981812-2 5.322427-6 2.529819-2 5.334942-6 0.0 5.500688-6 0.0 5.500707-6 5.034213-5 5.524401-6 6.068823-1 5.527786-6 6.926930-1 5.536233-6 1.049790+0 5.541325-6 1.330357+0 5.554864-6 2.369829+0 5.568404-6 3.767332+0 5.583828-6 5.831890+0 5.612110-6 1.004707+1 5.628093-6 1.185263+1 5.641117-6 1.268955+1 5.652072-6 1.279954+1 5.665370-6 1.216973+1 5.680167-6 1.066979+1 5.717336-6 5.664984+0 5.732567-6 3.948635+0 5.745750-6 2.782481+0 5.755102-6 2.144472+0 5.770843-6 1.207163+0 5.772192-6 1.154995+0 5.782686-6 8.870860-1 5.808767-6 3.641946-1 5.811741-6 3.423493-1 5.826806-6 4.185494-1 5.840783-6 5.046502-1 5.847257-6 5.994510-1 5.854656-6 7.574181-1 5.868961-6 1.217388+0 5.883266-6 1.879590+0 5.899359-6 2.879394+0 5.929756-6 5.007607+0 5.941379-6 5.707136+0 5.956103-6 6.272231+0 5.971785-6 6.391853+0 5.987034-6 6.065751+0 6.001442-6 5.468184+0 6.037237-6 3.594162+0 6.042271-6 3.380703+0 6.056488-6 2.972677+0 6.071305-6 2.839693+0 6.086150-6 2.959866+0 6.102640-6 3.260639+0 6.126096-6 3.827928+0 6.153189-6 4.146462+0 6.180032-6 4.106084+0 6.233963-6 3.820749+0 6.406125-6 3.798957+0 6.503213-6 3.696335+0 6.733940-6 3.721165+0 6.906369-6 3.658413+0 6.940367-6 5.757745+0 6.941894-6 5.913690+0 6.957366-6 9.441338+0 6.976067-6 1.474858+1 6.993154-6 2.197792+1 7.012376-6 3.327581+1 7.058529-6 6.704188+1 7.080155-6 7.929388+1 7.095906-6 8.371798+1 7.115526-6 8.183148+1 7.132917-6 7.450465+1 7.151071-6 6.256025+1 7.181106-6 3.963656+1 7.198193-6 2.808983+1 7.215280-6 1.900455+1 7.232366-6 1.246178+1 7.246440-6 8.564588+0 7.249453-6 7.925361+0 7.283626-6 3.494423+0 1.020492-5 1.909272+0 1.133803-5 1.397662+0 1.144966-5 1.426164+0 1.158919-5 1.595065+0 1.164501-5 1.573703+0 1.178454-5 1.300410+0 1.184036-5 1.231229+0 1.189617-5 1.187433+0 1.238085-5 1.032618+0 1.262640-5 9.847057-1 1.289511-5 8.847543-1 1.377054-5 6.740202-1 1.445374-5 5.469127-1 1.520247-5 4.390171-1 1.582879-5 3.698237-1 1.662483-5 3.038599-1 1.752482-5 2.518641-1 1.824334-5 2.234261-1 1.920000-5 1.994801-1 2.014962-5 1.872547-1 2.137962-5 1.836262-1 2.290868-5 1.915881-1 2.560000-5 2.235399-1 3.507519-5 3.663953-1 4.168694-5 4.403971-1 4.850000-5 4.862818-1 5.911747-5 5.142804-1 7.734806-5 4.956476-1 1.025479-4 4.382504-1 1.032340-4 4.778369-1 1.035610-4 5.244894-1 1.038142-4 5.762765-1 1.041350-4 6.773477-1 1.045264-4 8.251778-1 1.055492-4 1.317254+0 1.062358-4 1.716366+0 1.069110-4 2.242914+0 1.079800-4 3.264642+0 1.107136-4 6.097289+0 1.119100-4 7.089889+0 1.132750-4 7.899865+0 1.152250-4 8.565764+0 1.190689-4 9.028102+0 1.396891-4 9.994716+0 1.416928-4 1.010207+1 1.426507-4 1.065408+1 1.435544-4 1.194355+1 1.446559-4 1.373394+1 1.450648-4 1.392774+1 1.455645-4 1.357638+1 1.471336-4 1.114711+1 1.479359-4 1.069170+1 1.489504-4 1.082260+1 1.505080-4 1.121196+1 1.719686-4 1.072149+1 2.633233-4 7.222855+0 3.112619-4 5.887958+0 3.714139-4 4.663565+0 4.333082-4 3.770728+0 4.883894-4 3.175458+0 5.583095-4 2.606854+0 6.442620-4 2.098293+0 7.223539-4 1.756995+0 8.159740-4 1.449953+0 9.308078-4 1.174469+0 1.051178-3 9.640060-1 1.188502-3 7.877145-1 1.340737-3 6.445773-1 1.513051-3 5.259038-1 1.726012-3 4.200672-1 1.778251-3 4.007802-1 1.784895-3 4.692159-1 1.787030-3 4.973882-1 1.791418-3 5.886552-1 1.795806-3 7.363757-1 1.800637-3 9.847773-1 1.805212-3 1.311867+0 1.810399-3 1.761071+0 1.822581-3 2.979584+0 1.829110-3 3.476051+0 1.834831-3 3.768062+0 1.842329-3 3.966879+0 1.860945-3 4.014166+0 1.995262-3 3.711239+0 2.272245-3 3.028374+0 2.570800-3 2.496967+0 2.976802-3 1.979331+0 3.360491-3 1.618697+0 3.825390-3 1.301223+0 4.280112-3 1.071145+0 4.787493-3 8.787377-1 5.368205-3 7.150389-1 5.957363-3 5.915672-1 6.642456-3 4.832429-1 7.367645-3 3.981102-1 8.305676-3 3.168291-1 9.225714-3 2.587984-1 1.014301-2 2.150971-1 1.122957-2 1.760582-1 1.239098-2 1.447924-1 1.354214-2 1.211842-1 1.487809-2 1.001975-1 1.667667-2 7.939081-2 1.844309-2 6.453371-2 2.025231-2 5.316948-2 2.260544-2 4.224155-2 2.482742-2 3.471468-2 2.710522-2 2.881238-2 2.995364-2 2.330011-2 3.283764-2 1.914641-2 3.584695-2 1.584690-2 3.953440-2 1.282989-2 4.314624-2 1.061302-2 4.716585-2 8.737941-3 5.213727-2 7.019865-3 5.767613-2 5.624834-3 6.325026-2 4.589136-3 6.928065-2 3.752427-3 7.590178-2 3.065873-3 8.383495-2 2.461232-3 9.119215-2 2.043660-3 9.869668-2 1.716280-3 1.081353-1 1.402437-3 1.181111-1 1.153544-3 1.292659-1 9.448447-4 1.396368-1 7.966218-4 1.511682-1 6.698103-4 1.654143-1 5.505232-4 1.798871-1 4.592054-4 1.958921-1 3.824948-4 2.125152-1 3.213471-4 2.316613-1 2.681015-4 2.539973-1 2.213617-4 2.787625-1 1.829869-4 3.108433-1 1.472203-4 3.450609-1 1.201604-4 3.796619-1 1.003483-4 4.229500-1 8.243755-5 4.640476-1 7.009113-5 5.232991-1 5.735854-5 5.891615-1 4.763872-5 6.659825-1 3.981903-5 7.585776-1 3.345460-5 8.705518-1 2.835118-5 1.000000+0 2.429643-5 1.173413+0 2.071552-5 1.410753+0 1.723538-5 1.696098+0 1.433989-5 2.039158+0 1.193083-5 2.451607+0 9.926488-6 2.947480+0 8.258868-6 3.543651+0 6.871404-6 4.260405+0 5.717029-6 5.122134+0 4.756586-6 6.158159+0 3.957494-6 7.403736+0 3.292647-6 8.901248+0 2.739493-6 9.760024+0 2.498806-6 1.000000+1 4.881501-6 1 14000 7 0 2.808600+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-1.394578+1 2.735703-6-1.338095+1 3.245527-6-1.266049+1 3.413739-6-1.187264+1 3.488376-6-1.090818+1 3.520200-6-9.927777+0 3.551866-6-7.839684+0 3.565856-6-6.742127+0 3.574756-6-6.382993+0 3.584622-6-6.449936+0 3.593094-6-7.005129+0 3.598051-6-7.595057+0 3.606821-6-9.050413+0 3.617391-6-1.136272+1 3.628339-6-1.392791+1 3.631334-6-1.396600+1 3.644572-6-1.128673+1 3.654721-6-9.904894+0 3.666031-6-9.103104+0 3.675047-6-8.967000+0 3.692159-6-9.521757+0 3.723843-6-1.164402+1 3.756670-6-1.298059+1 3.827227-6-1.410631+1 3.862061-6-1.422337+1 4.158706-6-1.292189+1 4.482739-6-1.147203+1 4.628045-6-1.019637+1 4.709723-6-8.901238+0 4.751507-6-7.850186+0 4.786600-6-6.539738+0 4.807171-6-5.428850+0 4.819920-6-4.506886+0 4.829395-6-3.612086+0 4.834582-6-2.967505+0 4.837828-6-2.403930+0 4.840432-6-2.034414+0 4.854196-6-3.101047-1 4.857172-6 9.949786-2 4.858660-6 3.232822-1 4.860148-6 5.821004-1 4.863124-6 1.080471+0 4.867588-6 1.775955+0 4.870936-6 2.360215+0 4.873540-6 2.941038+0 4.876144-6 3.381314+0 4.885528-6 4.816261+0 4.897357-6 6.151252+0 4.903909-6 6.464705+0 4.909339-6 6.550214+0 4.914608-6 6.282352+0 4.920526-6 5.606336+0 4.925468-6 4.751216+0 4.930234-6 3.631134+0 4.937818-6 1.229484+0 4.939317-6 7.073534-1 4.941566-6-1.421413-1 4.942690-6-6.111170-1 4.943252-6-8.647774-1 4.944564-6-1.530711+0 4.952644-6-5.146603+0 4.955410-6-6.587381+0 4.958268-6-8.229748+0 4.967439-6-1.300125+1 4.970321-6-1.464875+1 4.979976-6-9.731982+0 4.984085-6-7.733289+0 4.993935-6-3.631302+0 4.997316-6-2.489908+0 4.998930-6-2.000090+0 5.003771-6-6.525527-1 5.005270-6-2.653208-1 5.008081-6 3.519192-1 5.010540-6 8.140438-1 5.012692-6 1.165857+0 5.014575-6 1.435518+0 5.017870-6 1.823646+0 5.020341-6 2.044155+0 5.022194-6 2.167956+0 5.024974-6 2.279104+0 5.026364-6 2.293476+0 5.033750-6 2.071098+0 5.036748-6 1.915437+0 5.038247-6 1.799082+0 5.041245-6 1.434596+0 5.046491-6 9.067394-1 5.049114-6 6.056685-1 5.050426-6 4.294428-1 5.051737-6 2.058104-1 5.063729-6-1.526015+0 5.071747-6-2.826721+0 5.074420-6-3.388812+0 5.077219-6-4.017304+0 5.089211-6-5.900027+0 5.099703-6-7.171646+0 5.119992-6-9.349636+0 5.139168-6-1.057797+1 5.160962-6-1.128980+1 5.240966-6-1.202984+1 5.356270-6-1.490937+1 5.463137-6-1.256024+1 5.498698-6-1.119862+1 5.536233-6-8.965204+0 5.559518-6-7.468600+0 5.573058-6-6.892582+0 5.587364-6-6.775929+0 5.599676-6-7.214730+0 5.611236-6-8.131694+0 5.625085-6-9.912133+0 5.646443-6-1.360279+1 5.654561-6-1.514250+1 5.668030-6-1.285938+1 5.682638-6-1.093659+1 5.696209-6-9.900979+0 5.709841-6-9.383216+0 5.724105-6-9.526429+0 5.745750-6-1.047157+1 5.772192-6-1.208553+1 5.826806-6-1.532663+1 5.885054-6-1.243699+1 5.910458-6-1.199053+1 5.932439-6-1.246544+1 5.964832-6-1.443408+1 5.983400-6-1.550949+1 6.009609-6-1.446827+1 6.036000-6-1.454312+1 6.071305-6-1.572894+1 6.112324-6-1.487434+1 6.216289-6-1.584317+1 6.354467-6-1.641667+1 6.440481-6-1.771759+1 6.528337-6-1.872232+1 6.571060-6-1.754925+1 6.773172-6-8.130478+0 6.810337-6-5.971426+0 6.832844-6-4.397691+0 6.850568-6-2.945549+0 6.863270-6-1.752029+0 6.868657-6-1.196118+0 6.873371-6-6.809244-1 6.881620-6 2.954362-1 6.887807-6 1.103307+0 6.892448-6 1.761784+0 6.895928-6 2.292391+0 6.901148-6 3.165990+0 6.905063-6 3.920438+0 6.908493-6 4.708751+0 6.927617-6 8.569667+0 6.937976-6 1.115433+1 6.946487-6 1.408026+1 6.976067-6 2.210884+1 6.999027-6 2.775054+1 7.016114-6 2.971471+1 7.029463-6 2.888256+1 7.040038-6 2.660816+1 7.050937-6 2.265537+1 7.058529-6 1.871152+1 7.072580-6 8.687271+0 7.076334-6 5.634577+0 7.078024-6 4.063953+0 7.079121-6 2.849954+0 7.080155-6 1.841416+0 7.082095-6 7.479841-2 7.090582-6-7.460238+0 7.094767-6-1.161848+1 7.095906-6-1.304348+1 7.112760-6-2.796824-2 7.113027-6 3.263143-1 7.113553-6 9.334660-1 7.114571-6 2.010021+0 7.115526-6 2.958514+0 7.117316-6 4.644666+0 7.120449-6 7.423280+0 7.129259-6 1.497911+1 7.132917-6 1.829240+1 7.137735-6 2.179403+1 7.151071-6 3.005527+1 7.160985-6 3.417464+1 7.173265-6 3.722599+1 7.181106-6 3.793906+1 7.196057-6 3.739206+1 7.215280-6 3.355124+1 7.246440-6 2.488288+1 7.255326-6 2.212205+1 7.281490-6 1.613801+1 7.289845-6 1.385628+1 7.302253-6 1.161493+1 7.320773-6 9.143266+0 7.333060-6 7.837999+0 7.345858-6 6.675802+0 7.369670-6 4.889021+0 7.393839-6 3.444373+0 7.417819-6 2.269499+0 7.429739-6 1.759763+0 7.441612-6 1.292854+0 7.453439-6 8.632771-1 7.477000-6 9.884264-2 7.500378-6-5.604408-1 7.523573-6-1.134923+0 7.546586-6-1.639586+0 7.569420-6-2.087243+0 7.614554-6-2.844291+0 7.680941-6-3.725439+0 7.771063-6-4.617507+0 7.892080-6-5.471788+0 8.058422-6-6.257437+0 8.341612-6-7.063214+0 8.786476-6-7.712349+0 9.544805-6-8.208080+0 1.155780-5-8.892970+0 1.175309-5-8.621725+0 1.289511-5-9.030126+0 1.887206-5-1.004246+1 2.917427-5-1.064854+1 6.459160-5-1.145578+1 8.348555-5-1.259148+1 9.492961-5-1.405996+1 1.009855-4-1.560825+1 1.039345-4-1.721154+1 1.079800-4-1.963155+1 1.103064-4-1.963647+1 1.175875-4-1.603320+1 1.238863-4-1.435835+1 1.354220-4-1.262107+1 1.403344-4-1.245189+1 1.419854-4-1.299624+1 1.431747-4-1.347999+1 1.439479-4-1.331552+1 1.446559-4-1.212964+1 1.455645-4-9.951991+0 1.460470-4-9.199919+0 1.466942-4-8.863748+0 1.475174-4-9.305678+0 1.489504-4-1.010143+1 1.509413-4-9.792917+0 1.643078-4-7.852739+0 1.764443-4-6.429615+0 1.926835-4-5.050720+0 2.077573-4-4.086358+0 2.256913-4-3.222434+0 2.426610-4-2.619708+0 2.633233-4-2.104829+0 2.860651-4-1.711718+0 3.033427-4-1.489238+0 3.283693-4-1.259321+0 3.551600-4-1.061927+0 3.823842-4-9.280133-1 4.190677-4-8.124991-1 4.628804-4-7.400069-1 5.136431-4-7.114656-1 5.883201-4-7.295053-1 7.223539-4-8.379962-1 1.051178-3-1.207300+0 1.285022-3-1.535575+0 1.438940-3-1.830687+0 1.549589-3-2.132198+0 1.633886-3-2.469913+0 1.696949-3-2.855850+0 1.738852-3-3.254249+0 1.770256-3-3.734432+0 1.789726-3-4.251872+0 1.805212-3-4.963416+0 1.820740-3-5.736399+0 1.829110-3-5.855319+0 1.837572-3-5.651643+0 1.865789-3-4.161471+0 1.879233-3-3.684737+0 1.904155-3-3.105614+0 1.934289-3-2.620233+0 1.969519-3-2.204941+0 2.013038-3-1.826178+0 2.070702-3-1.454735+0 2.141710-3-1.118385+0 2.214198-3-8.610646-1 2.272245-3-6.964010-1 2.347137-3-5.224960-1 2.425935-3-3.739006-1 2.502790-3-2.572438-1 2.570800-3-1.696001-1 2.642872-3-9.025131-2 2.723801-3-1.382216-2 2.766293-3 2.031935-2 2.818383-3 6.230240-2 2.900681-3 1.167461-1 2.976802-3 1.592741-1 3.054921-3 1.975853-1 3.130581-3 2.294215-1 3.285607-3 2.793358-1 3.445895-3 3.161254-1 3.723758-3 3.581841-1 4.040529-3 3.820983-1 4.644064-3 3.883682-1 5.598507-3 3.581273-1 8.018560-3 2.574764-1 9.749161-3 2.027614-1 1.161449-2 1.594005-1 1.354214-2 1.267350-1 1.575783-2 9.923757-2 1.779006-2 8.053663-2 2.025231-2 6.351890-2 2.260544-2 5.116664-2 2.482742-2 4.201150-2 2.771968-2 3.272971-2 3.088701-2 2.494607-2 3.372662-2 1.950306-2 3.660353-2 1.504212-2 3.953440-2 1.129508-2 4.216412-2 8.497851-3 4.506055-2 5.896745-3 4.810546-2 3.595544-3 5.011872-2 2.273283-3 5.213727-2 1.081332-3 5.335521-2 4.225315-4 5.445625-2-1.403337-4 5.561884-2-7.007703-4 5.767613-2-1.622243-3 6.032141-2-2.684125-3 6.457051-2-4.153025-3 6.928065-2-5.504278-3 7.590178-2-7.030992-3 8.622085-2-8.793365-3 9.869668-2-1.027968-2 1.181111-1-1.177735-2 1.511682-1-1.319041-2 2.080295-1-1.432631-2 3.337850-1-1.511796-2 8.705518-1-1.554670-2 2.688134+0-1.561285-2 8.118035+0-1.561975-2 1.000000+1-1.561895-2 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.630706-4 1.041301-6 3.085602-4 1.073842-6 3.499616-4 1.107399-6 3.984734-4 1.142006-6 4.553654-4 1.200000-6 5.669909-4 1.252449-6 6.756172-4 1.291588-6 7.691503-4 1.350000-6 9.313349-4 1.416498-6 1.137327-3 1.460763-6 1.298912-3 1.518750-6 1.542556-3 1.553488-6 1.694828-3 1.602034-6 1.932871-3 1.652098-6 2.214350-3 1.708594-6 2.576861-3 1.756967-6 2.903851-3 1.811873-6 3.324431-3 2.113233-6 6.726148-3 2.247374-6 8.958918-3 2.390030-6 1.202323-2 2.541741-6 1.626599-2 2.697050-6 2.195861-2 2.851865-6 2.945269-2 2.912283-6 3.292965-2 2.979591-6 3.728845-2 3.044795-6 4.206112-2 3.169155-6 5.275263-2 3.228436-6 5.876774-2 3.285864-6 6.528996-2 3.397131-6 7.999930-2 3.501443-6 9.677493-2 3.599236-6 1.158609-1 3.690917-6 1.373582-1 3.776868-6 1.614555-1 3.857448-6 1.884048-1 3.943088-6 2.226617-1 4.004939-6 2.517817-1 4.082359-6 2.947661-1 4.135608-6 3.292059-1 4.195704-6 3.743460-1 4.254864-6 4.262347-1 4.296804-6 4.685237-1 4.344887-6 5.241814-1 4.399213-6 5.977353-1 4.432226-6 6.491223-1 4.482025-6 7.383997-1 4.510759-6 7.975265-1 4.543809-6 8.740845-1 4.576455-6 9.604422-1 4.607060-6 1.053081+0 4.635752-6 1.152262+0 4.671628-6 1.296596+0 4.699534-6 1.427981+0 4.723583-6 1.557812+0 4.751804-6 1.734452+0 4.774727-6 1.901986+0 4.792195-6 2.047580+0 4.809316-6 2.208500+0 4.825367-6 2.378884+0 4.840415-6 2.559033+0 4.854710-6 2.751884+0 4.867748-6 2.949644+0 4.892547-6 3.398253+0 4.914245-6 3.895622+0 4.933231-6 4.447071+0 4.949844-6 5.059765+0 4.964380-6 5.741402+0 4.977099-6 6.497374+0 4.988229-6 7.327705+0 4.997967-6 8.225419+0 5.006488-6 9.176971+0 5.013943-6 1.016424+1 5.020467-6 1.116712+1 5.026175-6 1.216590+1 5.031170-6 1.314299+1 5.039911-6 1.511103+1 5.051383-6 1.825643+1 5.070420-6 2.508682+1 5.078603-6 2.868258+1 5.089514-6 3.407978+1 5.103542-6 4.190108+1 5.116012-6 4.942743+1 5.117571-6 5.038818+1 5.128482-6 5.711189+1 5.135077-6 6.108260+1 5.139271-6 6.352675+1 5.142416-6 6.530396+1 5.147134-6 6.785914+1 5.151852-6 7.025587+1 5.155362-6 7.191933+1 5.159968-6 7.392737+1 5.165891-6 7.618199+1 5.172126-6 7.811260+1 5.178360-6 7.954634+1 5.184985-6 8.048866+1 5.191220-6 8.080692+1 5.195372-6 8.070845+1 5.201318-6 8.013727+1 5.207768-6 7.895793+1 5.214820-6 7.703456+1 5.221350-6 7.470829+1 5.227916-6 7.189699+1 5.234206-6 6.881848+1 5.241878-6 6.464364+1 5.248257-6 6.090042+1 5.253622-6 5.761451+1 5.259363-6 5.400763+1 5.265810-6 4.990197+1 5.271195-6 4.647091+1 5.278118-6 4.211282+1 5.284387-6 3.826536+1 5.290656-6 3.455230+1 5.296965-6 3.098347+1 5.301697-6 2.843317+1 5.307907-6 2.526573+1 5.315144-6 2.184883+1 5.318160-6 2.051476+1 5.328511-6 1.634529+1 5.330088-6 1.576546+1 5.341130-6 1.210776+1 5.342707-6 1.164104+1 5.353748-6 8.741718+0 5.358086-6 7.769161+0 5.362226-6 6.922076+0 5.366367-6 6.150101+0 5.372676-6 5.108464+0 5.379598-6 4.136517+0 5.385704-6 3.412121+0 5.390546-6 2.916829+0 5.395361-6 2.487024+0 5.400137-6 2.116315+0 5.404877-6 1.797879+0 5.409579-6 1.525493+0 5.418874-6 1.096873+0 5.428024-6 7.917840-1 5.432545-6 6.756292-1 5.437031-6 5.793000-1 5.441482-6 4.999453-1 5.445899-6 4.350512-1 5.450280-6 3.824070-1 5.454628-6 3.400743-1 5.458942-6 3.063588-1 5.463222-6 2.797838-1 5.467468-6 2.590671-1 5.471681-6 2.430998-1 5.475862-6 2.309270-1 5.480009-6 2.217314-1 5.488208-6 2.096000-1 5.497439-6 2.015440-1 5.512487-6 1.915514-1 5.523981-6 1.814781-1 5.531495-6 1.727854-1 5.538921-6 1.625255-1 5.546232-6 1.510259-1 5.553428-6 1.386893-1 5.560511-6 1.259510-1 5.570248-6 1.082191-1 5.575544-6 9.878336-2 5.587861-6 7.834225-2 5.600952-6 6.014602-2 5.613634-6 4.695646-2 5.625919-6 3.875478-2 5.637821-6 3.514513-2 5.651208-6 3.598844-2 5.660880-6 3.963919-2 5.724508-6 1.183556-1 5.795517-6 3.093194-1 5.933474-6 9.369730-1 6.010841-6 1.459162+0 6.071312-6 2.021655+0 6.190862-6 3.772566+0 6.239432-6 4.872239+0 6.277149-6 5.976932+0 6.306739-6 7.055079+0 6.325356-6 7.857029+0 6.340300-6 8.585614+0 6.355244-6 9.403748+0 6.370188-6 1.032765+1 6.384492-6 1.133001+1 6.399316-6 1.251549+1 6.412152-6 1.368835+1 6.422262-6 1.472720+1 6.444362-6 1.745104+1 6.463700-6 2.053084+1 6.480620-6 2.399916+1 6.495425-6 2.786558+1 6.508380-6 3.210618+1 6.519715-6 3.666280+1 6.529634-6 4.145081+1 6.538312-6 4.637130+1 6.545906-6 5.132323+1 6.558365-6 6.096134+1 6.576170-6 7.861139+1 6.604695-6 1.185433+2 6.615354-6 1.376212+2 6.627536-6 1.622645+2 6.635658-6 1.803057+2 6.644794-6 2.020057+2 6.647840-6 2.095363+2 6.659583-6 2.397209+2 6.666113-6 2.571114+2 6.669666-6 2.666899+2 6.682356-6 3.011088+2 6.691239-6 3.248737+2 6.698599-6 3.439528+2 6.705737-6 3.616263+2 6.713752-6 3.801549+2 6.720447-6 3.942965+2 6.729054-6 4.103333+2 6.737176-6 4.229104+2 6.745297-6 4.327024+2 6.755830-6 4.408700+2 6.763031-6 4.433439+2 6.772942-6 4.425072+2 6.781263-6 4.380282+2 6.789216-6 4.306265+2 6.797426-6 4.199671+2 6.803440-6 4.103550+2 6.811976-6 3.943544+2 6.820559-6 3.758401+2 6.829127-6 3.553750+2 6.837911-6 3.328207+2 6.843147-6 3.188264+2 6.850630-6 2.983634+2 6.857846-6 2.783637+2 6.860251-6 2.716830+2 6.868551-6 2.487410+2 6.876851-6 2.262169+2 6.885151-6 2.043946+2 6.893450-6 1.835091+2 6.910050-6 1.452384+2 6.917009-6 1.307565+2 6.926584-6 1.124341+2 6.929569-6 1.071055+2 6.938523-6 9.220598+1 6.942710-6 8.578987+1 6.955272-6 6.856851+1 6.960566-6 6.217985+1 6.968507-6 5.350080+1 6.976449-6 4.583736+1 6.986046-6 3.781477+1 6.995971-6 3.079854+1 7.002809-6 2.663949+1 7.009648-6 2.297418+1 7.017948-6 1.912112+1 7.026247-6 1.584700+1 7.034547-6 1.307945+1 7.042847-6 1.075289+1 7.049305-6 9.209715+0 7.055762-6 7.872575+0 7.089259-6 3.442737+0 7.093447-6 3.110444+0 7.099727-6 2.679287+0 7.106008-6 2.319787+0 7.110195-6 2.115380+0 7.116476-6 1.855631+0 7.122756-6 1.645821+0 7.137411-6 1.318642+0 7.140475-6 1.275202+0 7.202065-6 2.134424+0 7.209763-6 2.561459+0 7.216500-6 3.026251+0 7.239962-6 5.487991+0 7.250327-6 7.095953+0 7.259906-6 8.927326+0 7.266896-6 1.049555+1 7.270563-6 1.140160+1 7.276063-6 1.287322+1 7.281562-6 1.448458+1 7.290502-6 1.741285+1 7.297206-6 1.986680+1 7.301676-6 2.162696+1 7.313409-6 2.671681+1 7.317320-6 2.856102+1 7.324165-6 3.195808+1 7.335198-6 3.785079+1 7.342291-6 4.187522+1 7.355831-6 4.993914+1 7.363537-6 5.466371+1 7.367214-6 5.693044+1 7.372731-6 6.032391+1 7.378247-6 6.368619+1 7.385697-6 6.812869+1 7.394063-6 7.290289+1 7.401050-6 7.664611+1 7.407788-6 7.998642+1 7.410034-6 8.103211+1 7.419086-6 8.485442+1 7.427007-6 8.761947+1 7.429271-6 8.830021+1 7.437757-6 9.038810+1 7.445846-6 9.165659+1 7.449962-6 9.201974+1 7.458954-6 9.213526+1 7.466897-6 9.146090+1 7.472596-6 9.053539+1 7.479682-6 8.888810+1 7.486728-6 8.673260+1 7.489911-6 8.560028+1 7.505197-6 7.894966+1 7.512874-6 7.497626+1 7.520895-6 7.048893+1 7.528669-6 6.590309+1 7.534811-6 6.217525+1 7.541708-6 5.793834+1 7.547469-6 5.440015+1 7.554875-6 4.990827+1 7.564036-6 4.453108+1 7.569212-6 4.161855+1 7.580350-6 3.575162+1 7.606423-6 2.474149+1 7.613686-6 2.244595+1 7.620783-6 2.054112+1 7.625098-6 1.954555+1 7.630857-6 1.840560+1 7.635885-6 1.758330+1 7.638879-6 1.716860+1 7.646855-6 1.632783+1 7.650072-6 1.609355+1 7.652798-6 1.594039+1 7.656432-6 1.579900+1 7.660591-6 1.572209+1 7.666547-6 1.576180+1 7.670243-6 1.587018+1 7.674212-6 1.605355+1 7.677454-6 1.625199+1 7.685962-6 1.696341+1 7.691688-6 1.758098+1 7.698386-6 1.842418+1 7.711360-6 2.034928+1 7.729738-6 2.346643+1 7.740603-6 2.536523+1 7.748532-6 2.671606+1 7.758054-6 2.825392+1 7.766136-6 2.945715+1 7.768634-6 2.980637+1 7.778744-6 3.109575+1 7.788053-6 3.209208+1 7.795381-6 3.274033+1 7.809065-6 3.362945+1 7.816761-6 3.395448+1 7.826192-6 3.419861+1 7.836357-6 3.429852+1 7.852780-6 3.419446+1 7.900494-6 3.337106+1 7.920111-6 3.327812+1 7.938642-6 3.342011+1 7.956406-6 3.373973+1 7.998100-6 3.488202+1 8.029883-6 3.581664+1 8.119258-6 3.823981+1 8.155421-6 3.939327+1 8.192021-6 4.081640+1 8.228279-6 4.257329+1 8.267225-6 4.490982+1 8.312468-6 4.795095+1 8.329215-6 4.897091+1 8.364044-6 5.034923+1 8.376843-6 5.046564+1 8.382527-6 5.043417+1 8.394766-6 5.018299+1 8.404130-6 4.982081+1 8.414011-6 4.928690+1 8.428102-6 4.829435+1 8.448953-6 4.653268+1 8.473921-6 4.467618+1 8.503956-6 4.485352+1 8.518361-6 4.689965+1 8.525786-6 4.870224+1 8.530657-6 5.021834+1 8.535721-6 5.210917+1 8.541841-6 5.486957+1 8.547590-6 5.798744+1 8.551597-6 6.049153+1 8.554966-6 6.282392+1 8.560268-6 6.694524+1 8.565039-6 7.116066+1 8.568078-6 7.411395+1 8.573208-6 7.960689+1 8.579526-6 8.731248+1 8.588138-6 9.965839+1 8.595464-6 1.120145+2 8.605080-6 1.311205+2 8.640015-6 2.342699+2 8.655887-6 3.022364+2 8.668894-6 3.693039+2 8.681075-6 4.419394+2 8.688366-6 4.900647+2 8.702286-6 5.915588+2 8.706875-6 6.277247+2 8.717201-6 7.137487+2 8.724967-6 7.824159+2 8.729902-6 8.276663+2 8.744707-6 9.698214+2 8.751998-6 1.042622+3 8.759567-6 1.119484+3 8.768569-6 1.211808+3 8.777890-6 1.307343+3 8.785027-6 1.379652+3 8.795226-6 1.480423+3 8.805881-6 1.580678+3 8.813642-6 1.649313+3 8.822839-6 1.724643+3 8.830876-6 1.784231+3 8.843304-6 1.863111+3 8.853009-6 1.912164+3 8.863986-6 1.953157+3 8.873113-6 1.974905+3 8.893845-6 1.981432+3 8.899644-6 1.972670+3 8.915719-6 1.925364+3 8.925817-6 1.879524+3 8.938255-6 1.807942+3 8.947576-6 1.744786+3 8.958043-6 1.665778+3 8.966785-6 1.594460+3 8.978025-6 1.497425+3 8.988787-6 1.400761+3 8.999236-6 1.305166+3 9.004539-6 1.256507+3 9.016470-6 1.147864+3 9.025749-6 1.065151+3 9.039669-6 9.458352+2 9.044250-6 9.081287+2 9.065067-6 7.485689+2 9.083756-6 6.237413+2 9.127727-6 4.016162+2 9.145742-6 3.370861+2 9.154723-6 3.098181+2 9.163686-6 2.855217+2 9.172632-6 2.639277+2 9.181561-6 2.447744+2 9.199383-6 2.127734+2 9.217135-6 1.877344+2 9.234818-6 1.681033+2 9.252432-6 1.526118+2 9.269978-6 1.402590+2 9.287454-6 1.302765+2 9.304863-6 1.220867+2 9.322203-6 1.152624+2 9.339476-6 1.094902+2 9.356681-6 1.045407+2 9.390957-6 9.646559+1 9.424965-6 9.015722+1 9.458708-6 8.508791+1 9.492187-6 8.092798+1 9.525404-6 7.745863+1 9.558362-6 7.452742+1 9.600438-6 7.136946+1 9.655699-6 6.798712+1 9.724721-6 6.465179+1 9.782460-6 6.240915+1 9.860707-6 5.994318+1 9.922342-6 5.835412+1 9.965271-6 5.739594+1 1.002911-5 5.615946+1 1.013965-5 5.443012+1 1.025228-5 5.305069+1 1.037392-5 5.185456+1 1.051557-5 5.071665+1 1.066871-5 4.969726+1 1.088059-5 4.856630+1 1.136594-5 4.639986+1 1.189732-5 4.435551+1 1.250678-5 4.204605+1 1.319885-5 3.934437+1 1.384550-5 3.683584+1 1.435293-5 3.489898+1 1.479722-5 3.322492+1 1.522682-5 3.208040+1 1.597314-5 2.951258+1 1.869471-5 2.259176+1 1.996580-5 2.030238+1 2.135610-5 1.832050+1 2.257332-5 1.693613+1 2.400141-5 1.563871+1 2.515465-5 1.478686+1 2.650768-5 1.397096+1 2.777115-5 1.335513+1 2.878159-5 1.293629+1 2.975605-5 1.258364+1 3.093040-5 1.222796+1 3.260500-5 1.181116+1 3.500000-5 1.136827+1 3.805439-5 1.096977+1 4.027170-5 1.077144+1 4.220000-5 1.064160+1 4.650000-5 1.045215+1 5.559043-5 1.014015+1 5.856236-5 1.003299+1 6.025596-5 9.956082+0 6.400000-5 9.752927+0 6.825000-5 9.457571+0 7.290000-5 9.045163+0 7.791237-5 8.511288+0 8.201250-5 7.993447+0 8.585192-5 7.436838+0 8.912509-5 6.917439+0 9.226406-5 6.378661+0 9.578354-5 5.725081+0 9.814547-5 5.260603+0 1.005659-4 4.763870+0 1.028476-4 4.276785+0 1.044870-4 3.919473+0 1.062064-4 3.538937+0 1.079169-4 3.155258+0 1.095689-4 2.782607+0 1.110967-4 2.439403+0 1.121496-4 2.204973+0 1.144235-4 1.708866+0 1.156512-4 1.451549+0 1.167022-4 1.241736+0 1.173882-4 1.110938+0 1.186960-4 8.776918-1 1.194115-4 7.610128-1 1.204673-4 6.067924-1 1.219671-4 4.350236-1 1.227309-4 3.748905-1 1.233028-4 3.446097-1 1.235634-4 3.355035-1 1.240864-4 3.270204-1 1.244716-4 3.299266-1 1.251114-4 3.542174-1 1.252724-4 3.645553-1 1.254942-4 3.818512-1 1.263891-4 4.920011-1 1.267199-4 5.515332-1 1.271720-4 6.520697-1 1.280127-4 9.080334-1 1.285422-4 1.124647+0 1.295699-4 1.706542+0 1.303431-4 2.338775+0 1.311413-4 3.252278+0 1.317862-4 4.263485+0 1.333502-4 8.244000+0 1.340430-4 1.094006+1 1.343676-4 1.244537+1 1.347980-4 1.470355+1 1.353681-4 1.819235+1 1.358385-4 2.152001+1 1.362153-4 2.447813+1 1.366359-4 2.806863+1 1.369414-4 3.084759+1 1.372471-4 3.374814+1 1.374912-4 3.613199+1 1.377692-4 3.889863+1 1.380925-4 4.215419+1 1.384199-4 4.545104+1 1.387016-4 4.825170+1 1.389762-4 5.092135+1 1.392833-4 5.380300+1 1.396308-4 5.689150+1 1.398317-4 5.857602+1 1.401249-4 6.088386+1 1.404851-4 6.344993+1 1.407900-4 6.537478+1 1.411276-4 6.723156+1 1.414096-4 6.856097+1 1.416040-4 6.936330+1 1.419500-4 7.057049+1 1.424907-4 7.194629+1 1.429905-4 7.275970+1 1.433219-4 7.311208+1 1.443124-4 7.361732+1 1.463625-4 7.402324+1 1.530558-4 7.676094+1 1.660095-4 8.294939+1 1.689066-4 8.396836+1 1.725312-4 8.461103+1 1.730105-4 8.490076+1 1.736061-4 8.570320+1 1.738827-4 8.633891+1 1.743256-4 8.785169+1 1.747402-4 8.996625+1 1.751981-4 9.325173+1 1.754349-4 9.538103+1 1.758830-4 1.002221+2 1.764238-4 1.073355+2 1.773016-4 1.204942+2 1.777435-4 1.268760+2 1.779399-4 1.294547+2 1.782766-4 1.333227+2 1.784966-4 1.353871+2 1.788514-4 1.378133+2 1.789945-4 1.384510+2 1.793448-4 1.391549+2 1.797368-4 1.385278+2 1.800348-4 1.371389+2 1.803277-4 1.351256+2 1.806149-4 1.326592+2 1.809630-4 1.292252+2 1.819103-4 1.193866+2 1.822857-4 1.159995+2 1.825478-4 1.139653+2 1.829906-4 1.112466+2 1.832735-4 1.099988+2 1.834977-4 1.092743+2 1.837834-4 1.086674+2 1.840858-4 1.083725+2 1.843828-4 1.083794+2 1.847664-4 1.087324+2 1.855769-4 1.102582+2 1.870738-4 1.135346+2 1.880238-4 1.150649+2 1.893347-4 1.164824+2 1.944513-4 1.200913+2 1.992979-4 1.230556+2 2.040420-4 1.256349+2 2.181359-4 1.323224+2 2.225537-4 1.342585+2 2.341087-4 1.382971+2 2.414764-4 1.405994+2 2.537319-4 1.435358+2 2.707073-4 1.463056+2 2.892469-4 1.481223+2 3.155241-4 1.490754+2 3.417826-4 1.492406+2 3.715353-4 1.488215+2 4.081138-4 1.475087+2 4.817831-4 1.445156+2 5.770985-4 1.405336+2 6.888505-4 1.357817+2 7.467140-4 1.333481+2 1.004146-3 1.217560+2 1.049095-3 1.199652+2 1.142727-3 1.157178+2 1.282839-3 1.097115+2 1.329741-3 1.077676+2 1.385723-3 1.052852+2 1.507015-3 9.967759+1 1.571256-3 9.664442+1 1.635392-3 9.345794+1 1.692362-3 9.052035+1 1.738667-3 8.798810+1 1.782241-3 8.546537+1 1.821207-3 8.306991+1 1.860633-3 8.045512+1 1.893119-3 7.809450+1 1.919886-3 7.597243+1 1.941304-3 7.412914+1 1.961244-3 7.227092+1 1.980918-3 7.026137+1 1.995980-3 6.856294+1 2.012894-3 6.643733+1 2.027021-3 6.442848+1 2.038109-3 6.265131+1 2.049642-3 6.054833+1 2.060246-3 5.830753+1 2.071181-3 5.560860+1 2.077980-3 5.372430+1 2.088789-3 5.051688+1 2.101047-3 4.706018+1 2.107220-3 4.568953+1 2.110907-3 4.506988+1 2.115752-3 4.453569+1 2.120113-3 4.436144+1 2.122240-3 4.438874+1 2.125857-3 4.460818+1 2.131059-3 4.530114+1 2.135897-3 4.632172+1 2.140739-3 4.766124+1 2.146161-3 4.946665+1 2.162944-3 5.609858+1 2.167378-3 5.788419+1 2.173139-3 6.011488+1 2.181649-3 6.313945+1 2.186778-3 6.478220+1 2.191969-3 6.630475+1 2.196511-3 6.752682+1 2.204762-3 6.951028+1 2.215522-3 7.171791+1 2.227035-3 7.372261+1 2.239963-3 7.565767+1 2.250761-3 7.708255+1 2.264644-3 7.871366+1 2.279083-3 8.021076+1 2.294541-3 8.162291+1 2.312384-3 8.304539+1 2.331162-3 8.433857+1 2.369277-3 8.644967+1 2.421378-3 8.856344+1 2.469739-3 8.996516+1 2.539973-3 9.134506+1 2.623770-3 9.225845+1 2.744066-3 9.263457+1 2.871801-3 9.229238+1 3.020410-3 9.128100+1 3.220656-3 8.939005+1 3.447466-3 8.688017+1 3.713014-3 8.364906+1 4.087474-3 7.906431+1 4.533396-3 7.391217+1 5.144214-3 6.751726+1 5.746124-3 6.193428+1 6.416950-3 5.646362+1 6.879836-3 5.303349+1 7.673883-3 4.771925+1 8.242071-3 4.432890+1 8.858038-3 4.096463+1 9.655080-3 3.705135+1 1.038611-2 3.387349+1 1.146916-2 2.978563+1 1.254843-2 2.635173+1 1.384850-2 2.291554+1 1.568062-2 1.909870+1 1.872743-2 1.460165+1 2.405315-2 9.915450+0 3.007222-2 6.970913+0 3.630038-2 5.148731+0 4.194440-2 4.053557+0 5.072499-2 2.934460+0 5.840652-2 2.291987+0 7.121406-2 1.603028+0 8.779638-2 1.090570+0 1.117266-1 6.958197-1 1.445650-1 4.264213-1 1.924160-1 2.457404-1 2.617053-1 1.347683-1 3.935501-1 6.022330-2 7.563973-1 1.640900-2 2.341267+0 1.716522-3 7.070513+0 1.882569-4 2.135261+1 2.064248-5 6.448384+1 2.263410-6 1.947381+2 2.481780-7 5.880996+2 2.721218-8 1.995262+3 2.364096-9 6.309573+3 2.36410-10 1.995262+4 2.36410-11 6.309573+4 2.36410-12 1.000000+5 9.41164-13 1 15000 7 7 3.097380+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 6.897700-7 1.258900-6 1.093200-6 1.584900-6 1.732600-6 1.995300-6 2.746000-6 2.511900-6 4.352100-6 3.162300-6 6.897600-6 3.981100-6 1.093200-5 5.011900-6 1.732600-5 6.309600-6 2.746000-5 7.943300-6 4.352000-5 1.000000-5 6.897400-5 1.258900-5 1.093100-4 1.584900-5 1.732500-4 1.995300-5 2.745700-4 2.511900-5 4.351600-4 3.162300-5 6.895900-4 3.981100-5 1.092600-3 5.011900-5 1.731000-3 6.309600-5 2.742800-3 7.943300-5 4.345800-3 1.000000-4 6.881100-3 1.258900-4 1.089500-2 1.584900-4 1.722800-2 1.995300-4 2.723100-2 2.511900-4 4.296100-2 3.162300-4 6.760900-2 3.981100-4 1.059000-1 5.011900-4 1.647800-1 6.309600-4 2.538600-1 7.943300-4 3.854200-1 1.000000-3 5.730300-1 1.258900-3 8.285200-1 1.584900-3 1.157300+0 1.995300-3 1.555100+0 2.511900-3 2.010700+0 3.162300-3 2.506600+0 3.981100-3 3.023300+0 5.011900-3 3.552500+0 6.309600-3 4.106400+0 7.943300-3 4.699100+0 1.000000-2 5.324300+0 1.258900-2 5.942900+0 1.584900-2 6.487900+0 1.995300-2 6.948800+0 2.511900-2 7.282400+0 3.162300-2 7.509400+0 3.981100-2 7.636000+0 5.011900-2 7.662100+0 6.309600-2 7.581600+0 7.943300-2 7.403100+0 1.000000-1 7.141200+0 1.258900-1 6.814600+0 1.584900-1 6.438100+0 1.995300-1 6.029000+0 2.511900-1 5.601300+0 3.162300-1 5.168000+0 3.981100-1 4.738400+0 5.011900-1 4.319600+0 6.309600-1 3.915700+0 7.943300-1 3.529900+0 1.000000+0 3.163900+0 1.258900+0 2.818900+0 1.584900+0 2.496300+0 1.995300+0 2.196800+0 2.511900+0 1.921200+0 3.162300+0 1.670100+0 3.981100+0 1.443300+0 5.011900+0 1.240400+0 6.309600+0 1.060600+0 7.943300+0 9.024400-1 1.000000+1 7.645200-1 1.258900+1 6.450700-1 1.584900+1 5.423100-1 1.995300+1 4.544100-1 2.511900+1 3.796200-1 3.162300+1 3.162800-1 3.981100+1 2.628700-1 5.011900+1 2.180000-1 6.309600+1 1.804200-1 7.943300+1 1.490500-1 1.000000+2 1.229300-1 1.258900+2 1.012400-1 1.584900+2 8.325500-2 1.995300+2 6.838000-2 2.511900+2 5.609700-2 3.162300+2 4.597000-2 3.981100+2 3.763400-2 5.011900+2 3.078000-2 6.309600+2 2.515300-2 7.943300+2 2.053800-2 1.000000+3 1.675600-2 1.258900+3 1.366100-2 1.584900+3 1.113000-2 1.995300+3 9.062300-3 2.511900+3 7.374200-3 3.162300+3 5.997000-3 3.981100+3 4.874300-3 5.011900+3 3.959700-3 6.309600+3 3.215200-3 7.943300+3 2.609400-3 1.000000+4 2.116700-3 1.258900+4 1.716400-3 1.584900+4 1.391100-3 1.995300+4 1.127100-3 2.511900+4 9.127900-4 3.162300+4 7.389700-4 3.981100+4 5.980300-4 5.011900+4 4.838100-4 6.309600+4 3.912700-4 7.943300+4 3.163300-4 1.000000+5 2.556700-4 1 15000 7 7 3.097380+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159547-4 3.981072-4 3.976751-4 5.011872-4 5.005043-4 6.309573-4 6.298792-4 7.943282-4 7.926294-4 1.000000-3 9.973301-4 1.258925-3 1.254744-3 1.584893-3 1.578369-3 1.995262-3 1.985124-3 2.511886-3 2.496175-3 3.162278-3 3.137985-3 3.981072-3 3.943548-3 5.011872-3 4.953856-3 6.309573-3 6.219542-3 7.943282-3 7.803045-3 1.000000-2 9.781404-3 1.258925-2 1.224968-2 1.584893-2 1.532438-2 1.995262-2 1.914905-2 2.511886-2 2.389236-2 3.162278-2 2.975666-2 3.981072-2 3.697851-2 5.011872-2 4.583474-2 6.309573-2 5.666262-2 7.943282-2 6.984359-2 1.000000-1 8.582378-2 1.258925-1 1.050925-1 1.584893-1 1.282510-1 1.995262-1 1.559616-1 2.511886-1 1.889795-1 3.162278-1 2.282048-1 3.981072-1 2.746559-1 5.011872-1 3.294867-1 6.309573-1 3.940959-1 7.943282-1 4.701477-1 1.000000+0 5.595930-1 1.258925+0 6.649532-1 1.584893+0 7.892999-1 1.995262+0 9.363844-1 2.511886+0 1.110913+0 3.162278+0 1.318600+0 3.981072+0 1.566514+0 5.011872+0 1.863264+0 6.309573+0 2.219414+0 7.943282+0 2.647890+0 1.000000+1 3.164457+0 1.258925+1 3.788441+0 1.584893+1 4.543589+0 1.995262+1 5.458731+0 2.511886+1 6.569461+0 3.162278+1 7.919402+0 3.981072+1 9.561824+0 5.011872+1 1.156260+1 6.309573+1 1.400221+1 7.943282+1 1.697981+1 1.000000+2 2.061717+1 1.258925+2 2.506442+1 1.584893+2 3.050606+1 1.995262+2 3.716926+1 2.511886+2 4.533435+1 3.162278+2 5.534693+1 3.981072+2 6.763136+1 5.011872+2 8.271466+1 6.309573+2 1.012436+2 7.943282+2 1.240202+2 1.000000+3 1.520295+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 15000 7 9 3.097380+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739871-9 3.981072-5 4.342037-9 5.011872-5 6.881315-9 6.309573-5 1.090574-8 7.943282-5 1.728344-8 1.000000-4 2.738596-8 1.258925-4 4.339679-8 1.584893-4 6.874794-8 1.995262-4 1.089154-7 2.511886-4 1.724976-7 3.162278-4 2.730779-7 3.981072-4 4.320443-7 5.011872-4 6.829420-7 6.309573-4 1.078181-6 7.943282-4 1.698798-6 1.000000-3 2.669941-6 1.258925-3 4.181808-6 1.584893-3 6.524135-6 1.995262-3 1.013873-5 2.511886-3 1.571100-5 3.162278-3 2.429291-5 3.981072-3 3.752377-5 5.011872-3 5.801602-5 6.309573-3 9.003192-5 7.943282-3 1.402370-4 1.000000-2 2.185959-4 1.258925-2 3.395750-4 1.584893-2 5.245496-4 1.995262-2 8.035709-4 2.511886-2 1.226507-3 3.162278-2 1.866121-3 3.981072-2 2.832209-3 5.011872-2 4.283983-3 6.309573-2 6.433111-3 7.943282-2 9.589229-3 1.000000-1 1.417622-2 1.258925-1 2.080003-2 1.584893-1 3.023833-2 1.995262-1 4.356459-2 2.511886-1 6.220916-2 3.162278-1 8.802296-2 3.981072-1 1.234513-1 5.011872-1 1.717005-1 6.309573-1 2.368614-1 7.943282-1 3.241805-1 1.000000+0 4.404070-1 1.258925+0 5.939722-1 1.584893+0 7.955933-1 1.995262+0 1.058878+0 2.511886+0 1.400973+0 3.162278+0 1.843678+0 3.981072+0 2.414558+0 5.011872+0 3.148609+0 6.309573+0 4.090160+0 7.943282+0 5.295393+0 1.000000+1 6.835543+0 1.258925+1 8.800813+0 1.584893+1 1.130534+1 1.995262+1 1.449389+1 2.511886+1 1.854940+1 3.162278+1 2.370337+1 3.981072+1 3.024889+1 5.011872+1 3.855612+1 6.309573+1 4.909352+1 7.943282+1 6.245302+1 1.000000+2 7.938283+1 1.258925+2 1.008281+2 1.584893+2 1.279833+2 1.995262+2 1.623570+2 2.511886+2 2.058543+2 3.162278+2 2.608808+2 3.981072+2 3.304758+2 5.011872+2 4.184726+2 6.309573+2 5.297138+2 7.943282+2 6.703081+2 1.000000+3 8.479705+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 8.330000-6 3.548020+7 8.380000-6 3.532957+7 8.380000-6 5.298017+7 8.609938-6 5.200347+7 8.620000-6 5.195385+7 8.850000-6 5.073838+7 8.920000-6 5.032192+7 9.120108-6 4.909881+7 9.440609-6 4.686254+7 9.700000-6 4.487840+7 1.000000-5 4.244210+7 1.023293-5 4.048503+7 1.050000-5 3.819130+7 1.071519-5 3.632456+7 1.100000-5 3.386100+7 1.122018-5 3.198235+7 1.150000-5 2.964750+7 1.180000-5 2.723278+7 1.215000-5 2.455531+7 1.216186-5 2.446863+7 1.250000-5 2.205565+7 1.288250-5 1.953332+7 1.290000-5 1.942453+7 1.330000-5 1.704660+7 1.365000-5 1.516943+7 1.412538-5 1.291185+7 1.462177-5 1.088725+7 1.515000-5 9.066610+6 1.570000-5 7.489310+6 1.630000-5 6.081750+6 1.698244-5 4.806693+6 1.721000-5 4.442983+6 1.721000-5 4.452883+6 1.724000-5 4.407926+6 1.728000-5 4.348947+6 1.733000-5 4.276598+6 1.740000-5 4.177805+6 1.747000-5 4.081844+6 1.755000-5 3.975529+6 1.763000-5 3.872660+6 1.770000-5 3.785390+6 1.771000-5 3.773023+6 1.778279-5 3.684455+6 1.786000-5 3.591892+6 1.793000-5 3.510505+6 1.801000-5 3.420326+6 1.812000-5 3.301083+6 1.820000-5 3.217689+6 1.830000-5 3.117219+6 1.840772-5 3.013471+6 1.855000-5 2.883198+6 1.862087-5 2.821017+6 1.867000-5 2.778277+6 1.882000-5 2.652857+6 1.895000-5 2.550149+6 1.910000-5 2.438127+6 1.927525-5 2.315479+6 1.945000-5 2.201394+6 1.960000-5 2.109553+6 1.980000-5 1.995214+6 2.000000-5 1.889461+6 2.020000-5 1.791595+6 2.047000-5 1.670873+6 2.070000-5 1.577409+6 2.089296-5 1.504931+6 2.100000-5 1.467822+6 2.113489-5 1.422851+6 2.130000-5 1.371536+6 2.166900-5 1.267179+6 2.170000-5 1.259003+6 2.190000-5 1.209917+6 2.230000-5 1.122656+6 2.250000-5 1.084476+6 2.270000-5 1.049677+6 2.285000-5 1.024762+6 2.300000-5 1.002109+6 2.317395-5 9.778838+5 2.330000-5 9.608463+5 2.350000-5 9.365087+5 2.370000-5 9.144753+5 2.376900-5 9.070001+5 2.400000-5 8.846528+5 2.426610-5 8.618548+5 2.450000-5 8.441042+5 2.470000-5 8.305100+5 2.485000-5 8.217044+5 2.511886-5 8.067754+5 2.520000-5 8.028722+5 2.540973-5 7.937199+5 2.560000-5 7.861662+5 2.580000-5 7.791563+5 2.600160-5 7.733110+5 2.610000-5 7.707898+5 2.630268-5 7.659863+5 2.650000-5 7.619569+5 2.670000-5 7.589524+5 2.691535-5 7.563844+5 2.710000-5 7.545067+5 2.730000-5 7.530043+5 2.754229-5 7.521772+5 2.770000-5 7.520225+5 2.800000-5 7.521392+5 2.818383-5 7.526204+5 2.851018-5 7.547130+5 2.870000-5 7.558257+5 2.905300-5 7.590377+5 2.920000-5 7.606043+5 2.951209-5 7.648709+5 2.985383-5 7.691049+5 3.000000-5 7.713405+5 3.054921-5 7.803573+5 3.060000-5 7.810760+5 3.126079-5 7.928009+5 3.150000-5 7.972627+5 3.162278-5 7.998134+5 3.209200-5 8.084764+5 3.260000-5 8.182458+5 3.300000-5 8.265776+5 3.311800-5 8.287632+5 3.427678-5 8.509604+5 3.450000-5 8.553529+5 3.500000-5 8.642067+5 3.589219-5 8.801130+5 3.758374-5 9.071954+5 3.801894-5 9.133882+5 3.845918-5 9.192147+5 3.950000-5 9.324656+5 4.000000-5 9.379807+5 4.027170-5 9.406944+5 4.168694-5 9.540400+5 4.220000-5 9.575078+5 4.365158-5 9.664540+5 4.400000-5 9.681621+5 4.415704-5 9.687224+5 4.570882-5 9.733586+5 4.623810-5 9.742870+5 4.650000-5 9.745853+5 4.786301-5 9.746649+5 4.850000-5 9.739780+5 4.900000-5 9.731515+5 5.011872-5 9.702645+5 5.080000-5 9.677938+5 5.188000-5 9.633975+5 5.248075-5 9.604779+5 5.308844-5 9.569126+5 5.500000-5 9.451530+5 5.559043-5 9.406227+5 5.754399-5 9.252439+5 5.821032-5 9.196121+5 6.025596-5 9.007460+5 6.095369-5 8.940043+5 6.237348-5 8.801402+5 6.309573-5 8.728863+5 6.400000-5 8.633392+5 6.650000-5 8.372861+5 6.683439-5 8.337220+5 6.760830-5 8.252411+5 7.000000-5 7.993857+5 7.161434-5 7.819882+5 7.244360-5 7.731275+5 7.413102-5 7.551034+5 7.585776-5 7.366850+5 7.852356-5 7.093335+5 7.943282-5 7.001209+5 8.035261-5 6.907896+5 8.317638-5 6.630361+5 8.609938-5 6.354649+5 8.810489-5 6.174257+5 8.912509-5 6.084185+5 9.225714-5 5.814217+5 9.549926-5 5.552325+5 9.885531-5 5.294776+5 1.000000-4 5.210219+5 1.035142-4 4.961031+5 1.080000-4 4.664025+5 1.109175-4 4.484447+5 1.122018-4 4.407183+5 1.161449-4 4.179970+5 1.202264-4 3.961884+5 1.260000-4 3.677113+5 1.303167-4 3.480209+5 1.364583-4 3.222978+5 1.381800-4 3.155694+5 1.381800-4 1.622093+6 1.385000-4 1.788216+6 1.387000-4 1.895101+6 1.389700-4 2.040433+6 1.391400-4 2.130900+6 1.391400-4 2.776000+6 1.392000-4 2.822648+6 1.392200-4 2.837712+6 1.394000-4 2.980788+6 1.395000-4 3.059145+6 1.396700-4 3.194280+6 1.397000-4 3.217165+6 1.399000-4 3.371562+6 1.401000-4 3.529799+6 1.402000-4 3.599272+6 1.404000-4 3.738217+6 1.406000-4 3.878314+6 1.407200-4 3.954851+6 1.408000-4 4.004715+6 1.410000-4 4.126638+6 1.411000-4 4.172548+6 1.412538-4 4.256786+6 1.413000-4 4.282432+6 1.416000-4 4.409971+6 1.418000-4 4.480580+6 1.419500-4 4.529112+6 1.426000-4 4.654811+6 1.427000-4 4.670429+6 1.428894-4 4.692612+6 1.429000-4 4.693856+6 1.445440-4 4.816093+6 1.447000-4 4.824929+6 1.465000-4 4.896197+6 1.466000-4 4.899253+6 1.479108-4 4.932123+6 1.485000-4 4.946910+6 1.490000-4 4.948588+6 1.510000-4 4.942673+6 1.520000-4 4.931979+6 1.531087-4 4.914075+6 1.540000-4 4.892344+6 1.548817-4 4.876645+6 1.570000-4 4.839462+6 1.571200-4 4.836941+6 1.590000-4 4.792423+6 1.650000-4 4.640523+6 1.659587-4 4.617225+6 1.720000-4 4.449771+6 1.737801-4 4.406735+6 1.760000-4 4.354223+6 1.780000-4 4.298520+6 1.840772-4 4.132677+6 1.871500-4 4.044201+6 1.871500-4 4.460629+6 1.883649-4 4.426436+6 1.950000-4 4.217759+6 1.972423-4 4.145631+6 2.041738-4 3.928810+6 2.065380-4 3.855838+6 2.089296-4 3.782828+6 2.113489-4 3.710190+6 2.148000-4 3.610521+6 2.200000-4 3.466008+6 2.205000-4 3.452606+6 2.213095-4 3.430747+6 2.238721-4 3.361215+6 2.264644-4 3.292223+6 2.300000-4 3.200521+6 2.344229-4 3.091322+6 2.350000-4 3.077503+6 2.371374-4 3.026732+6 2.400000-4 2.958583+6 2.420000-4 2.911570+6 2.511886-4 2.709618+6 2.540973-4 2.647985+6 2.570396-4 2.586761+6 2.650000-4 2.431492+6 2.660725-4 2.411655+6 2.691535-4 2.354124+6 2.851018-4 2.083085+6 2.884032-4 2.031758+6 2.917427-4 1.981191+6 2.951209-4 1.931585+6 3.019952-4 1.836163+6 3.100000-4 1.733624+6 3.198895-4 1.617351+6 3.200000-4 1.616117+6 3.311311-4 1.497140+6 3.548134-4 1.280612+6 3.589219-4 1.247183+6 3.630781-4 1.214648+6 3.715352-4 1.151561+6 3.890451-4 1.034807+6 3.981072-4 9.801947+5 4.073803-4 9.282245+5 4.120975-4 9.033158+5 4.265795-4 8.321729+5 4.466836-4 7.461514+5 4.570882-4 7.059491+5 4.623810-4 6.865875+5 4.786301-4 6.317144+5 5.011872-4 5.654877+5 5.069907-4 5.497847+5 5.248075-4 5.050323+5 5.308844-4 4.909641+5 5.432503-4 4.640190+5 5.559043-4 4.385919+5 5.623413-4 4.262965+5 5.688529-4 4.142698+5 5.821032-4 3.911334+5 6.025596-4 3.588980+5 6.095369-4 3.487702+5 6.237348-4 3.293792+5 6.382635-4 3.109712+5 6.531306-4 2.934267+5 6.683439-4 2.768114+5 7.000000-4 2.462896+5 7.161434-4 2.325461+5 7.300000-4 2.214204+5 7.413102-4 2.128521+5 8.000000-4 1.751711+5 8.035261-4 1.732037+5 8.128305-4 1.681563+5 8.317638-4 1.584326+5 8.413951-4 1.537894+5 9.015711-4 1.286266+5 9.120108-4 1.248660+5 9.225714-4 1.211905+5 9.332543-4 1.175953+5 9.549926-4 1.107262+5 1.023293-3 9.243885+4 1.030000-3 9.087943+4 1.059254-3 8.444270+4 1.071519-3 8.193240+4 1.096478-3 7.710280+4 1.161449-3 6.623644+4 1.174898-3 6.426046+4 1.202264-3 6.045758+4 1.230269-3 5.688559+4 1.258925-3 5.350702+4 1.318257-3 4.733983+4 1.333521-3 4.591619+4 1.364583-3 4.317602+4 1.412538-3 3.937736+4 1.428894-3 3.818141+4 1.513561-3 3.272080+4 1.531087-3 3.172929+4 1.584893-3 2.890857+4 1.640590-3 2.634516+4 1.650000-3 2.594134+4 1.659587-3 2.553758+4 1.737801-3 2.254805+4 1.778279-3 2.119125+4 1.819701-3 1.990511+4 1.900000-3 1.770511+4 1.927525-3 1.702384+4 2.000000-3 1.539523+4 2.041738-3 1.455488+4 2.089296-3 1.366441+4 2.130400-3 1.295470+4 2.130400-3 1.325803+5 2.162719-3 1.296187+5 2.172000-3 1.287893+5 2.187762-3 1.268632+5 2.238721-3 1.209192+5 2.264644-3 1.180537+5 2.317395-3 1.112676+5 2.344229-3 1.080228+5 2.398833-3 1.018088+5 2.454709-3 9.595324+4 2.511886-3 9.043449+4 2.600160-3 8.274448+4 2.660725-3 7.798550+4 2.691535-3 7.570996+4 2.754229-3 7.135207+4 2.851018-3 6.528243+4 2.900000-3 6.248187+4 3.019952-3 5.629151+4 3.054921-3 5.464793+4 3.126079-3 5.150375+4 3.311311-3 4.440686+4 3.349654-3 4.310960+4 3.507519-3 3.814994+4 3.589219-3 3.588873+4 3.630781-3 3.480898+4 3.758374-3 3.175821+4 3.845918-3 2.985432+4 3.890451-3 2.894561+4 4.073803-3 2.557883+4 4.168694-3 2.404546+4 4.216965-3 2.331368+4 4.365158-3 2.124746+4 4.518559-3 1.932494+4 4.731513-3 1.702916+4 4.841724-3 1.598577+4 4.954502-3 1.500641+4 5.300000-3 1.246909+4 5.308844-3 1.241111+4 5.559043-3 1.091172+4 5.688529-3 1.023144+4 5.754399-3 9.907391+3 6.165950-3 8.166407+3 6.237348-3 7.904291+3 6.531306-3 6.937189+3 6.683439-3 6.498983+3 6.760830-3 6.290383+3 7.244360-3 5.171283+3 7.413102-3 4.840134+3 7.673615-3 4.382695+3 7.852356-3 4.102018+3 8.000000-3 3.888172+3 8.609938-3 3.147444+3 8.709636-3 3.043604+3 8.810489-3 2.943181+3 9.120108-3 2.661365+3 9.225714-3 2.573554+3 9.440609-3 2.406536+3 1.035142-2 1.839668+3 1.047129-2 1.778157+3 1.071519-2 1.661244+3 1.083927-2 1.605702+3 1.122018-2 1.449974+3 1.230269-2 1.104394+3 1.258925-2 1.031733+3 1.288250-2 9.630608+2 1.333521-2 8.685296+2 1.479108-2 6.369089+2 1.531087-2 5.743523+2 1.548817-2 5.546797+2 1.584893-2 5.173362+2 1.798871-2 3.525078+2 1.840772-2 3.287605+2 1.883649-2 3.066120+2 1.905461-2 2.959922+2 2.238721-2 1.806359+2 2.317395-2 1.624971+2 2.344229-2 1.568608+2 2.371374-2 1.513661+2 2.454709-2 1.360107+2 2.483133-2 1.312466+2 2.754229-2 9.522080+1 2.851018-2 8.556185+1 2.951209-2 7.687672+1 2.985383-2 7.415768+1 3.162278-2 6.193914+1 3.427678-2 4.813985+1 3.548134-2 4.321079+1 3.758374-2 3.608715+1 4.265795-2 2.419792+1 4.466836-2 2.092471+1 4.841724-2 1.622317+1 4.954502-2 1.507699+1 5.559043-2 1.045239+1 5.754399-2 9.364518+0 5.821032-2 9.027665+0 5.956621-2 8.389496+0 6.309573-2 6.984554+0 6.606934-2 6.032014+0 6.998420-2 5.021911+0 7.498942-2 4.025008+0 7.585776-2 3.879269+0 7.852356-2 3.472887+0 7.943282-2 3.347119+0 8.128305-2 3.109073+0 8.413951-2 2.783370+0 9.225714-2 2.072116+0 9.549926-2 1.855051+0 9.885531-2 1.660730+0 1.011580-1 1.542625+0 1.109175-1 1.148451+0 1.148154-1 1.028152+0 1.174898-1 9.550392-1 1.188502-1 9.204581-1 1.273503-1 7.377297-1 1.303167-1 6.856578-1 1.318257-1 6.610280-1 1.333521-1 6.372854-1 1.364583-1 5.923263-1 1.396368-1 5.505398-1 1.513561-1 4.261734-1 1.531088-1 4.108656-1 1.566751-1 3.818818-1 1.603245-1 3.549424-1 1.621810-1 3.421938-1 1.678804-1 3.069854-1 1.737801-1 2.754018-1 1.778279-1 2.561733-1 1.798871-1 2.470683-1 1.819701-1 2.382946-1 1.949845-1 1.918225-1 1.972423-1 1.850109-1 2.000000-1 1.771172-1 2.065380-1 1.600992-1 2.089296-1 1.544142-1 2.137962-1 1.437853-1 2.187762-1 1.338980-1 2.213095-1 1.292124-1 2.238721-1 1.246909-1 2.317395-1 1.120534-1 2.426610-1 9.717319-2 2.483133-1 9.059304-2 2.600160-1 7.875105-2 2.691535-1 7.089706-2 2.722701-1 6.845723-2 2.786121-1 6.382648-2 2.851018-1 5.958027-2 2.884032-1 5.756687-2 2.951209-1 5.374204-2 3.000000-1 5.117422-2 3.090295-1 4.683793-2 3.162278-1 4.372593-2 3.198895-1 4.227545-2 3.235937-1 4.087305-2 3.273407-1 3.951923-2 3.427678-1 3.453769-2 3.507519-1 3.228760-2 3.548134-1 3.121816-2 3.589219-1 3.020500-2 3.630781-1 2.922470-2 3.801894-1 2.561690-2 3.890451-1 2.398365-2 3.935501-1 2.320649-2 4.027170-1 2.175932-2 4.120975-1 2.040462-2 4.216965-1 1.913429-2 4.315191-1 1.794304-2 4.365158-1 1.737554-2 4.466836-1 1.631997-2 4.570882-1 1.533028-2 4.623810-1 1.485817-2 4.731513-1 1.395712-2 4.841724-1 1.311073-2 4.897788-1 1.271734-2 4.954502-1 1.233647-2 5.069907-1 1.160861-2 5.188000-1 1.092370-2 5.248075-1 1.059655-2 5.308844-1 1.027921-2 5.370318-1 9.979547-3 5.559043-1 9.133655-3 5.688529-1 8.609950-3 5.821032-1 8.116282-3 5.888437-1 7.887031-3 6.095369-1 7.238813-3 6.165950-1 7.034803-3 6.237348-1 6.836546-3 6.309573-1 6.643878-3 6.382635-1 6.456638-3 6.456542-1 6.280226-3 6.683439-1 5.780578-3 6.760830-1 5.623025-3 6.839117-1 5.469768-3 6.918310-1 5.320690-3 6.998420-1 5.180620-3 7.244360-1 4.783175-3 7.328245-1 4.657592-3 7.413102-1 4.535305-3 7.585776-1 4.300280-3 7.673615-1 4.191028-3 7.852356-1 3.981344-3 8.035261-1 3.782154-3 8.317638-1 3.501897-3 8.413951-1 3.415623-3 8.511380-1 3.331681-3 8.609938-1 3.249802-3 8.709636-1 3.169938-3 9.120108-1 2.869629-3 9.225714-1 2.801508-3 9.440609-1 2.670447-3 9.660509-1 2.545518-3 9.885531-1 2.426434-3 1.000000+0 2.371002-3 1.011579+0 2.316974-3 1.023293+0 2.264174-3 1.083927+0 2.017691-3 1.096478+0 1.971714-3 1.130300+0 1.855360-3 1.135011+0 1.839973-3 1.148154+0 1.799564-3 1.202264+0 1.647017-3 1.230269+0 1.575662-3 1.244515+0 1.541153-3 1.258925+0 1.507402-3 1.318257+0 1.384548-3 1.333521+0 1.355434-3 1.364583+0 1.299027-3 1.380384+0 1.271711-3 1.445440+0 1.171920-3 1.462177+0 1.148222-3 1.500000+0 1.097349-3 1.513561+0 1.079964-3 1.603245+0 9.795856-4 1.659587+0 9.238948-4 1.678804+0 9.060442-4 1.698244+0 8.892571-4 1.778279+0 8.251642-4 1.862087+0 7.656910-4 1.883649+0 7.515049-4 1.905461+0 7.381137-4 2.000000+0 6.843549-4 2.113489+0 6.278396-4 2.137962+0 6.166525-4 2.264644+0 5.656455-4 2.398833+0 5.188581-4 2.426610+0 5.099758-4 2.570396+0 4.693287-4 2.722701+0 4.319222-4 2.754229+0 4.248063-4 2.951209+0 3.859062-4 3.126079+0 3.562251-4 3.162278+0 3.505685-4 3.427678+0 3.146651-4 3.630781+0 2.912941-4 3.672823+0 2.868325-4 4.027170+0 2.545888-4 4.315191+0 2.328080-4 4.365158+0 2.293635-4 4.786301+0 2.043994-4 5.128614+0 1.874764-4 5.188000+0 1.847954-4 5.754399+0 1.630379-4 6.237348+0 1.479027-4 6.309573+0 1.458584-4 7.161434+0 1.257171-4 7.852356+0 1.128389-4 7.943282+0 1.113248-4 8.000000+0 1.104015-4 8.709636+0 1.002448-4 1.011579+1 8.457688-5 1.023293+1 8.347833-5 1.035142+1 8.239623-5 1.122018+1 7.536805-5 1.318257+1 6.305906-5 1.348963+1 6.147305-5 1.364583+1 6.069647-5 1.500000+1 5.479944-5 1.800000+1 4.500329-5 1.840772+1 4.392752-5 1.862087+1 4.338548-5 2.089296+1 3.841076-5 2.630268+1 3.010723-5 2.660725+1 2.974279-5 2.691535+1 2.938276-5 3.019952+1 2.606985-5 4.073803+1 1.910111-5 4.120975+1 1.887397-5 4.168694+1 1.864953-5 4.216965+1 1.843084-5 4.731513+1 1.638029-5 7.328245+1 1.046343-5 7.413102+1 1.034074-5 7.498942+1 1.022086-5 8.035261+1 9.530260-6 1.462177+2 5.197432-6 1.479108+2 5.137184-6 1.496236+2 5.077983-6 1.603245+2 4.736862-6 2.917427+2 2.592696-6 2.951209+2 2.562820-6 2.985383+2 2.533427-6 3.198895+2 2.364020-6 2.317395+3 3.250945-7 2.344229+3 3.213661-7 2.371374+3 3.176868-7 2.540973+3 2.964793-7 1.000000+5 7.528996-9 1 15000 7 0 3.097380+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 8.330000-6 8.330000-6 8.380000-6 8.330000-6 8.380000-6 8.346658-6 1.721000-5 8.347090-6 1.721000-5 8.366794-6 1.812000-5 8.440072-6 1.882000-5 8.545885-6 1.960000-5 8.725648-6 2.020000-5 8.913195-6 2.089296-5 9.185680-6 2.170000-5 9.573867-6 2.285000-5 1.022026-5 2.450000-5 1.118422-5 2.540973-5 1.165386-5 2.630268-5 1.203239-5 2.710000-5 1.230148-5 2.800000-5 1.252751-5 2.905300-5 1.270394-5 3.000000-5 1.279845-5 3.150000-5 1.286153-5 3.311800-5 1.285073-5 3.589219-5 1.275110-5 4.415704-5 1.235492-5 5.080000-5 1.212042-5 5.821032-5 1.195116-5 6.760830-5 1.182566-5 8.035261-5 1.175115-5 1.000000-4 1.173868-5 1.303167-4 1.182049-5 1.381800-4 1.185209-5 1.381800-4 1.939350-5 1.389700-4 1.978128-5 1.391400-4 1.984508-5 1.391400-4 2.017621-5 1.402000-4 2.042874-5 1.416000-4 2.058842-5 1.447000-4 2.066691-5 1.590000-4 2.075363-5 1.871500-4 2.081553-5 1.871500-4 2.219902-5 2.238721-4 2.259240-5 3.548134-4 2.348164-5 4.786301-4 2.419785-5 6.531306-4 2.503293-5 8.413951-4 2.578865-5 1.096478-3 2.662396-5 1.412538-3 2.744157-5 1.778279-3 2.818849-5 2.130400-3 2.875049-5 2.130400-3 4.433346-5 2.454709-3 4.448042-5 4.365158-3 4.476144-5 1.047129-2 4.496203-5 4.954502-2 4.507233-5 1.000000+5 4.509514-5 1 15000 7 7 3.097380+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.330000-6 0.0 1.381800-4 0.0 1.381800-4 2.099903-8 1.385000-4 2.148808-8 1.389700-4 2.207740-8 1.391400-4 2.225480-8 1.391400-4 2.315046-8 1.397000-4 2.356968-8 1.404000-4 2.393832-8 1.413000-4 2.423113-8 1.419500-4 2.434584-8 1.445440-4 2.450017-8 1.520000-4 2.466760-8 1.780000-4 2.485925-8 1.871500-4 2.489593-8 1.871500-4 2.517031-8 2.420000-4 2.528530-8 5.821032-4 2.533383-8 2.130400-3 2.538276-8 2.130400-3 1.096395-4 2.264644-3 1.102349-4 3.758374-3 1.112815-4 6.531306-3 1.118689-4 1.584893-2 1.121737-4 1.000000+5 1.122111-4 1 15000 7 9 3.097380+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.330000-6 0.0 8.380000-6 5.000000-8 8.380000-6 3.334226-8 1.721000-5 8.862910-6 1.721000-5 8.843206-6 1.812000-5 9.679928-6 1.895000-5 1.037890-5 1.980000-5 1.101679-5 2.047000-5 1.145765-5 2.130000-5 1.192735-5 2.230000-5 1.239829-5 2.450000-5 1.331578-5 2.540973-5 1.375587-5 2.630268-5 1.427029-5 2.730000-5 1.494160-5 2.818383-5 1.561863-5 2.951209-5 1.675446-5 3.060000-5 1.776370-5 3.260000-5 1.974032-5 3.589219-5 2.314109-5 4.786301-5 3.565061-5 6.309573-5 5.122086-5 1.000000-4 8.826132-5 1.381800-4 1.263279-4 1.381800-4 1.187655-4 1.391400-4 1.192726-4 1.391400-4 1.189406-4 1.419500-4 1.213175-4 1.871500-4 1.663096-4 1.871500-4 1.649258-4 7.300000-4 7.046154-4 2.130400-3 2.101624-3 2.130400-3 1.976427-3 1.000000+5 1.000000+5 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 2.130400-3 1.196256+5 2.172000-3 1.165019+5 2.264644-3 1.070970+5 3.349654-3 3.941319+4 3.758374-3 2.908431+4 4.365158-3 1.949734+4 5.300000-3 1.146354+4 6.165950-3 7.516159+3 7.244360-3 4.763996+3 8.609938-3 2.901735+3 1.035142-2 1.697063+3 1.258925-2 9.521782+2 1.531087-2 5.302245+2 1.883649-2 2.831182+2 2.344229-2 1.448668+2 2.951209-2 7.100786+1 3.758374-2 3.333445+1 4.841724-2 1.498589+1 6.998420-2 4.638990+0 1.273503-1 6.812675-1 1.621810-1 3.159841-1 2.089296-1 1.425969-1 2.426610-1 8.973003-2 2.786121-1 5.893653-2 3.162278-1 4.037553-2 3.548134-1 2.882543-2 3.935501-1 2.142742-2 4.365158-1 1.604334-2 4.841724-1 1.210579-2 5.308844-1 9.491265-3 5.821032-1 7.494115-3 6.382635-1 5.961706-3 6.918310-1 4.912800-3 7.585776-1 3.970782-3 8.317638-1 3.233730-3 9.120108-1 2.649918-3 9.885531-1 2.240644-3 1.135011+0 1.699072-3 1.258925+0 1.392006-3 1.380384+0 1.174361-3 1.513561+0 9.972972-4 1.678804+0 8.366937-4 1.883649+0 6.939837-4 2.137962+0 5.694505-4 2.426610+0 4.709385-4 2.754229+0 3.922890-4 3.162278+0 3.237344-4 3.672823+0 2.648773-4 4.365158+0 2.118078-4 5.188000+0 1.706509-4 6.309573+0 1.346937-4 8.000000+0 1.019500-4 1.035142+1 7.608845-5 1.364583+1 5.604988-5 1.862087+1 4.006421-5 2.691535+1 2.713370-5 4.168694+1 1.722202-5 7.413102+1 9.549224-6 1.479108+2 4.743963-6 2.951209+2 2.366652-6 2.344229+3 2.967676-7 1.000000+5 6.952700-9 1 15000 7 0 3.097380+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 2.130400-3 4.602100-5 1.000000+5 4.602100-5 1 15000 7 7 3.097380+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.130400-3 1.215100-4 1.000000+5 1.215100-4 1 15000 7 9 3.097380+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.130400-3 1.962869-3 1.000000+5 1.000000+5 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.871500-4 4.164282+5 2.089296-4 4.141659+5 2.148000-4 4.107957+5 2.205000-4 4.047800+5 2.264644-4 3.962787+5 2.350000-4 3.820000+5 2.917427-4 2.999334+5 3.100000-4 2.785000+5 3.311311-4 2.549432+5 3.715352-4 2.161539+5 4.120975-4 1.852540+5 4.466836-4 1.632305+5 5.011872-4 1.349586+5 5.623413-4 1.109223+5 6.237348-4 9.229571+4 7.161434-4 7.159595+4 8.000000-4 5.801740+4 9.120108-4 4.486950+4 1.030000-3 3.510080+4 1.174898-3 2.670560+4 1.333521-3 2.038748+4 1.531087-3 1.507363+4 1.778279-3 1.077207+4 2.041738-3 7.837084+3 2.344229-3 5.659400+3 2.691535-3 4.056918+3 3.126079-3 2.805973+3 3.630781-3 1.925355+3 4.216965-3 1.311112+3 4.954502-3 8.598685+2 5.754399-3 5.771101+2 6.760830-3 3.729167+2 8.000000-3 2.345360+2 9.440609-3 1.475136+2 1.122018-2 9.025756+1 1.333521-2 5.481931+1 1.584893-2 3.305949+1 1.905461-2 1.913321+1 2.317395-2 1.061895+1 2.851018-2 5.648380+0 3.548134-2 2.878550+0 4.466836-2 1.405112+0 5.821032-2 6.110533-1 7.585776-2 2.636668-1 1.303167-1 4.709776-2 1.798871-1 1.699344-2 2.137962-1 9.911944-3 2.483133-1 6.255915-3 2.851018-1 4.117313-3 3.235937-1 2.826279-3 3.630781-1 2.022272-3 4.027170-1 1.506415-3 4.466836-1 1.130166-3 4.897788-1 8.811211-4 5.370318-1 6.915757-4 5.888437-1 5.466567-4 6.456542-1 4.353371-4 6.998420-1 3.591790-4 7.673615-1 2.904876-4 8.413951-1 2.366824-4 9.225714-1 1.940906-4 1.000000+0 1.642900-4 1.148154+0 1.247035-4 1.258925+0 1.044990-4 1.380384+0 8.815636-5 1.513561+0 7.485889-5 1.678804+0 6.280036-5 1.883649+0 5.208835-5 2.137962+0 4.274418-5 2.426610+0 3.535062-5 2.754229+0 2.944633-5 3.162278+0 2.429978-5 3.672823+0 1.988166-5 4.365158+0 1.589768-5 5.188000+0 1.280865-5 6.309573+0 1.011023-5 7.943282+0 7.715460-6 1.023293+1 5.785333-6 1.348963+1 4.260442-6 1.840772+1 3.044453-6 2.691535+1 2.036655-6 4.168694+1 1.292681-6 7.413102+1 7.167598-7 1.479108+2 3.560838-7 2.951209+2 1.776412-7 2.344229+3 2.227540-8 1.000000+5 5.21870-10 1 15000 7 0 3.097380+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.871500-4 3.563500-5 1.000000+5 3.563500-5 1 15000 7 7 3.097380+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.871500-4 2.783500-8 1.000000+5 2.783500-8 1 15000 7 9 3.097380+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.871500-4 1.514872-4 1.000000+5 1.000000+5 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.391400-4 6.451000+5 1.392200-4 6.633100+5 1.395000-4 7.365600+5 1.397000-4 7.895600+5 1.399000-4 8.433200+5 1.402000-4 9.238700+5 1.404000-4 9.769500+5 1.407200-4 1.060100+6 1.410000-4 1.130700+6 1.411000-4 1.140391+6 1.416000-4 1.232504+6 1.426000-4 1.346256+6 1.427000-4 1.354007+6 1.445440-4 1.425694+6 1.465000-4 1.467024+6 1.490000-4 1.497183+6 1.520000-4 1.514061+6 1.531087-4 1.514001+6 1.571200-4 1.502231+6 1.659587-4 1.452930+6 1.780000-4 1.373061+6 1.883649-4 1.278431+6 1.972423-4 1.190300+6 2.065380-4 1.099100+6 2.238721-4 9.464300+5 2.400000-4 8.267900+5 2.540973-4 7.350000+5 2.691535-4 6.480400+5 2.884032-4 5.524600+5 3.311311-4 3.965300+5 3.630781-4 3.160500+5 3.981072-4 2.498700+5 4.570882-4 1.741400+5 5.069907-4 1.320900+5 5.688529-4 9.638700+4 6.531306-4 6.550300+4 7.300000-4 4.764400+4 8.413951-4 3.147300+4 9.549926-4 2.158000+4 1.096478-3 1.419300+4 1.258925-3 9.263100+3 1.428894-3 6.225800+3 1.650000-3 3.934400+3 1.900000-3 2.489400+3 2.162719-3 1.624600+3 2.454709-3 1.064000+3 2.851018-3 6.404800+2 3.311311-3 3.826100+2 3.845918-3 2.269600+2 4.518559-3 1.283600+2 5.308844-3 7.205800+1 6.237348-3 4.016300+1 7.413102-3 2.130300+1 8.810489-3 1.121400+1 1.047129-2 5.857200+0 1.258925-2 2.907200+0 1.531087-2 1.370207+0 1.905461-2 5.863121-1 2.483133-2 2.077894-1 4.954502-2 1.364817-2 6.606934-2 4.412779-3 8.413951-2 1.722164-3 1.011580-1 8.461634-4 1.188502-1 4.574905-4 1.396368-1 2.492359-4 1.603245-1 1.491539-4 1.819701-1 9.380504-5 2.065380-1 5.943140-5 2.317395-1 3.952617-5 2.600160-1 2.648474-5 2.884032-1 1.860293-5 3.198895-1 1.315839-5 3.548134-1 9.374516-6 3.935501-1 6.726961-6 4.315191-1 5.041627-6 4.731513-1 3.803598-6 5.188000-1 2.889695-6 5.688529-1 2.211524-6 6.237348-1 1.705456-6 6.760830-1 1.367999-6 7.413102-1 1.071366-6 8.609938-1 7.278087-7 9.120108-1 6.304445-7 9.660509-1 5.496253-7 1.011579+0 4.953615-7 1.083927+0 4.272513-7 1.148154+0 3.801754-7 1.230269+0 3.332312-7 1.333521+0 2.879312-7 1.462177+0 2.455188-7 1.698244+0 1.907789-7 1.905461+0 1.582232-7 2.137962+0 1.321932-7 2.426610+0 1.093231-7 2.754229+0 9.106601-8 3.162278+0 7.515224-8 3.672823+0 6.148886-8 4.365158+0 4.916888-8 5.188000+0 3.961499-8 6.309573+0 3.126785-8 7.943282+0 2.386233-8 1.023293+1 1.789269-8 1.348963+1 1.317642-8 1.840772+1 9.415909-9 2.691535+1 6.298791-9 4.168694+1 3.997831-9 7.498942+1 2.190914-9 1.496236+2 1.088556-9 2.985383+2 5.43087-10 2.371374+3 6.81027-11 1.000000+5 1.61400-12 1 15000 7 0 3.097380+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.391400-4 2.127000-5 1.000000+5 2.127000-5 1 15000 7 7 3.097380+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.391400-4 2.610900-8 1.000000+5 2.610900-8 1 15000 7 9 3.097380+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.391400-4 1.178439-4 1.000000+5 1.000000+5 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.381800-4 1.306524+6 1.385000-4 1.473872+6 1.387000-4 1.581520+6 1.389700-4 1.727876+6 1.392000-4 1.852248+6 1.394000-4 1.960320+6 1.396700-4 2.102976+6 1.401000-4 2.325252+6 1.406000-4 2.543686+6 1.408000-4 2.619138+6 1.413000-4 2.802081+6 1.418000-4 2.923961+6 1.419500-4 2.956290+6 1.429000-4 3.034083+6 1.447000-4 3.104252+6 1.466000-4 3.145853+6 1.485000-4 3.176921+6 1.510000-4 3.163413+6 1.531087-4 3.135765+6 1.540000-4 3.119357+6 1.570000-4 3.084033+6 1.590000-4 3.053820+6 1.659587-4 2.935201+6 1.720000-4 2.823398+6 1.760000-4 2.762585+6 1.780000-4 2.723667+6 1.840772-4 2.626757+6 1.883649-4 2.549711+6 1.950000-4 2.419772+6 2.041738-4 2.236054+6 2.213095-4 1.925227+6 2.371374-4 1.683826+6 2.511886-4 1.496399+6 2.660725-4 1.319878+6 2.851018-4 1.125468+6 3.200000-4 8.535200+5 3.548134-4 6.625024+5 3.890451-4 5.245410+5 4.466836-4 3.655751+5 5.011872-4 2.690307+5 5.559043-4 2.026243+5 6.382635-4 1.377742+5 7.161434-4 9.915816+4 8.128305-4 6.853970+4 9.225714-4 4.705494+4 1.071519-3 2.990217+4 1.230269-3 1.951956+4 1.412538-3 1.265170+4 1.640590-3 7.843442+3 1.900000-3 4.866480+3 2.187762-3 3.052825+3 2.511886-3 1.919593+3 2.900000-3 1.176148+3 3.349654-3 7.145851+2 3.890451-3 4.229062+2 4.518559-3 2.486216+2 5.308844-3 1.392567+2 6.237348-3 7.742701+1 7.413102-3 4.095971+1 8.709636-3 2.244037+1 1.035142-2 1.169023+1 1.230269-2 6.043148+0 1.479108-2 2.966463+0 1.798871-2 1.382087+0 2.238721-2 5.840174-1 2.985383-2 1.863142-1 5.956621-2 1.184198-2 7.852356-2 3.947152-3 9.549926-2 1.824802-3 1.148154-1 8.894544-4 1.333521-1 4.993082-4 1.531088-1 2.951568-4 1.737801-1 1.835971-4 1.949845-1 1.200297-4 2.187762-1 7.905804-5 2.426610-1 5.467879-5 2.691535-1 3.808848-5 2.951209-1 2.780946-5 3.235937-1 2.044898-5 3.507519-1 1.572497-5 3.801894-1 1.216810-5 4.120975-1 9.477869-6 4.466836-1 7.436910-6 4.841724-1 5.877587-6 5.248075-1 4.677365-6 5.688529-1 3.747148-6 6.165950-1 3.022268-6 6.683439-1 2.454582-6 7.244360-1 2.007397-6 7.852356-1 1.653459-6 8.511380-1 1.371976-6 9.225714-1 1.146907-6 1.000000+0 9.663600-7 1.096478+0 8.013450-7 1.202264+0 6.692896-7 1.318257+0 5.631557-7 1.445440+0 4.772018-7 1.603245+0 3.990972-7 1.778279+0 3.361585-7 2.000000+0 2.787500-7 2.264644+0 2.303915-7 2.570396+0 1.911783-7 2.951209+0 1.571937-7 3.427678+0 1.281763-7 4.027170+0 1.037066-7 4.786301+0 8.325599-8 5.754399+0 6.641111-8 7.161434+0 5.120383-8 8.709636+0 4.083529-8 1.122018+1 3.070383-8 1.500000+1 2.232600-8 2.089296+1 1.564815-8 3.019952+1 1.062032-8 4.731513+1 6.675025-9 8.035261+1 3.884398-9 1.603245+2 1.930883-9 3.198895+2 9.63685-10 2.540973+3 1.20877-10 1.000000+5 3.06960-12 1 15000 7 0 3.097380+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.381800-4 2.121500-5 1.000000+5 2.121500-5 1 15000 7 7 3.097380+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.381800-4 2.607100-8 1.000000+5 2.607100-8 1 15000 7 9 3.097380+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.381800-4 1.169389-4 1.000000+5 1.000000+5 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.721000-5 9.899700+3 1.724000-5 1.045042+4 1.728000-5 1.130260+4 1.733000-5 1.241004+4 1.740000-5 1.402642+4 1.747000-5 1.572234+4 1.755000-5 1.775270+4 1.763000-5 1.986984+4 1.771000-5 2.208940+4 1.778279-5 2.416832+4 1.786000-5 2.645300+4 1.793000-5 2.858920+4 1.801000-5 3.108900+4 1.812000-5 3.462840+4 1.820000-5 3.728080+4 1.830000-5 4.068220+4 1.840772-5 4.443199+4 1.855000-5 4.950860+4 1.867000-5 5.389400+4 1.882000-5 5.949820+4 1.895000-5 6.444860+4 1.910000-5 7.025500+4 1.927525-5 7.713802+4 1.945000-5 8.408440+4 1.960000-5 9.009960+4 1.980000-5 9.817380+4 2.000000-5 1.062932+5 2.020000-5 1.144308+5 2.047000-5 1.254124+5 2.070000-5 1.347298+5 2.100000-5 1.467922+5 2.130000-5 1.587050+5 2.166900-5 1.730990+5 2.190000-5 1.819460+5 2.230000-5 1.969230+5 2.270000-5 2.114420+5 2.317395-5 2.280037+5 2.370000-5 2.455380+5 2.426610-5 2.633791+5 2.485000-5 2.806580+5 2.540973-5 2.961506+5 2.610000-5 3.138540+5 2.691535-5 3.328305+5 2.770000-5 3.492160+5 2.851018-5 3.643230+5 2.951209-5 3.806545+5 3.054921-5 3.950612+5 3.162278-5 4.075494+5 3.300000-5 4.203420+5 3.450000-5 4.306660+5 3.589219-5 4.373631+5 3.758374-5 4.423443+5 3.950000-5 4.444960+5 4.168694-5 4.432638+5 4.400000-5 4.386080+5 4.650000-5 4.306940+5 4.900000-5 4.206240+5 5.188000-5 4.071564+5 5.500000-5 3.911780+5 5.821032-5 3.739883+5 6.237348-5 3.514953+5 6.683439-5 3.280356+5 7.244360-5 3.003020+5 7.943282-5 2.692289+5 8.810489-5 2.361802+5 9.885531-5 2.026164+5 1.122018-4 1.698694+5 1.260000-4 1.435474+5 1.428894-4 1.186224+5 1.659587-4 9.366742+4 2.300000-4 5.521880+4 2.650000-4 4.364720+4 3.019952-4 3.488958+4 3.630781-4 2.523741+4 4.265795-4 1.888668+4 5.308844-4 1.262419+4 6.095369-4 9.734996+3 7.000000-4 7.442360+3 8.035261-4 5.651982+3 9.332543-4 4.159548+3 1.059254-3 3.190336+3 1.230269-3 2.312499+3 1.428894-3 1.663068+3 1.659587-3 1.187137+3 1.927525-3 8.411749+2 2.238721-3 5.917075+2 2.600160-3 4.132405+2 3.019952-3 2.864204+2 3.507519-3 1.969394+2 4.073803-3 1.344168+2 4.731513-3 9.110072+1 5.559043-3 5.946488+1 6.531306-3 3.851505+1 7.673615-3 2.476043+1 9.120108-3 1.530264+1 1.083927-2 9.385287+0 1.288250-2 5.714042+0 1.531087-2 3.453971+0 1.840772-2 2.003533+0 2.238721-2 1.114441+0 2.754229-2 5.940342-1 3.427678-2 3.033113-1 4.265795-2 1.537178-1 5.559043-2 6.694139-2 7.943282-2 2.163213-2 1.318257-1 4.300674-3 1.678804-1 2.002736-3 2.089296-1 1.011048-3 2.426610-1 6.369032-4 2.786121-1 4.186945-4 3.162278-1 2.870497-4 3.548134-1 2.050658-4 3.935501-1 1.525124-4 4.365158-1 1.142302-4 4.841724-1 8.622121-5 5.308844-1 6.762601-5 5.821032-1 5.341717-5 6.382635-1 4.251197-5 6.998420-1 3.409404-5 7.673615-1 2.755474-5 8.413951-1 2.244400-5 9.120108-1 1.887828-5 9.885531-1 1.597736-5 1.135011+0 1.212271-5 1.258925+0 9.931803-6 1.380384+0 8.377112-6 1.513561+0 7.112152-6 1.678804+0 5.966573-6 1.883649+0 4.948994-6 2.137962+0 4.060902-6 2.426610+0 3.358398-6 2.754229+0 2.797565-6 3.162278+0 2.308681-6 3.672823+0 1.888906-6 4.365158+0 1.510410-6 5.188000+0 1.216937-6 6.309573+0 9.605546-7 7.943282+0 7.330307-7 1.023293+1 5.496500-7 1.348963+1 4.047811-7 1.840772+1 2.892529-7 2.691535+1 1.934967-7 4.216965+1 1.213638-7 7.498942+1 6.730538-8 1.496236+2 3.343967-8 2.985383+2 1.668363-8 2.371374+3 2.092072-9 1.000000+5 4.95820-11 1 15000 7 0 3.097380+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.721000-5 1.721000-5 1.000000+5 1.721000-5 1 15000 7 9 3.097380+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.721000-5 0.0 1.000000+5 1.000000+5 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 8.380000-6 1.765060+7 8.620000-6 1.733430+7 8.920000-6 1.681730+7 9.120108-6 1.642143+7 9.440609-6 1.570010+7 9.700000-6 1.505140+7 1.000000-5 1.425550+7 1.023293-5 1.361371+7 1.050000-5 1.285610+7 1.071519-5 1.223728+7 1.100000-5 1.141920+7 1.122018-5 1.079453+7 1.150000-5 1.001670+7 1.180000-5 9.210640+6 1.215000-5 8.315220+6 1.250000-5 7.475890+6 1.288250-5 6.628277+6 1.330000-5 5.789400+6 1.365000-5 5.155690+6 1.412538-5 4.392415+6 1.462177-5 3.706932+6 1.515000-5 3.089650+6 1.570000-5 2.554370+6 1.630000-5 2.076250+6 1.698244-5 1.642469+6 1.770000-5 1.287230+6 1.862087-5 9.473989+5 2.113489-5 4.345356+5 2.190000-5 3.511300+5 2.250000-5 3.003040+5 2.300000-5 2.658150+5 2.350000-5 2.372630+5 2.400000-5 2.137030+5 2.450000-5 1.943390+5 2.485000-5 1.829250+5 2.520000-5 1.730480+5 2.560000-5 1.634210+5 2.600160-5 1.553219+5 2.630268-5 1.501562+5 2.670000-5 1.443900+5 2.710000-5 1.396510+5 2.754229-5 1.354931+5 2.800000-5 1.322210+5 2.851018-5 1.296249+5 2.905300-5 1.278855+5 2.951209-5 1.271036+5 3.000000-5 1.268520+5 3.060000-5 1.272210+5 3.126079-5 1.283222+5 3.209200-5 1.304942+5 3.311800-5 1.340157+5 3.500000-5 1.417730+5 3.845918-5 1.566517+5 4.027170-5 1.636012+5 4.220000-5 1.699300+5 4.415704-5 1.751271+5 4.623810-5 1.793054+5 4.850000-5 1.823320+5 5.080000-5 1.839090+5 5.308844-5 1.841661+5 5.559043-5 1.831811+5 5.821032-5 1.809579+5 6.095369-5 1.775884+5 6.400000-5 1.729450+5 6.760830-5 1.666054+5 7.161434-5 1.589226+5 7.585776-5 1.505281+5 8.035261-5 1.416496+5 8.609938-5 1.307157+5 9.225714-5 1.197777+5 1.000000-4 1.073100+5 1.080000-4 9.587490+4 1.161449-4 8.564993+4 1.260000-4 7.491310+4 1.364583-4 6.522521+4 1.479108-4 5.635285+4 1.650000-4 4.583920+4 1.883649-4 3.540118+4 2.113489-4 2.810215+4 2.344229-4 2.267080+4 2.570396-4 1.859539+4 2.851018-4 1.476641+4 3.198895-4 1.133754+4 3.589219-4 8.640086+3 4.073803-4 6.357738+3 4.623810-4 4.644666+3 5.248075-4 3.366800+3 5.821032-4 2.570952+3 6.382635-4 2.009569+3 7.161434-4 1.466878+3 8.035261-4 1.062560+3 9.015711-4 7.641744+2 1.023293-3 5.276640+2 1.161449-3 3.616617+2 1.318257-3 2.461149+2 1.513561-3 1.604960+2 1.737801-3 1.039287+2 2.000000-3 6.628977+1 2.317395-3 4.104330+1 2.660725-3 2.598296+1 3.054921-3 1.632539+1 3.507519-3 1.017751+1 4.073803-3 6.053349+0 4.731513-3 3.575209+0 5.559043-3 2.012024+0 6.531306-3 1.123629+0 7.673615-3 6.228946-1 9.120108-3 3.284661-1 1.071519-2 1.794633-1 1.288250-2 8.923254-2 1.548817-2 4.404094-2 1.905461-2 1.973774-2 2.454709-2 7.338704-3 5.754399-2 2.571665-4 7.498942-2 9.129495-5 9.225714-2 4.089020-5 1.109175-1 2.017136-5 1.303167-1 1.094944-5 1.513561-1 6.256081-6 1.737801-1 3.759722-6 1.972423-1 2.374632-6 2.213095-1 1.574222-6 2.483133-1 1.050956-6 2.786121-1 7.070235-7 3.090295-1 4.984208-7 3.427678-1 3.539251-7 3.801894-1 2.532108-7 4.216965-1 1.825763-7 4.623810-1 1.374647-7 5.069907-1 1.042204-7 5.559043-1 7.959760-8 6.095369-1 6.123680-8 6.683439-1 4.746256-8 7.328245-1 3.706033-8 8.609938-1 2.435115-8 9.120108-1 2.108496-8 9.660509-1 1.837979-8 1.011579+0 1.656441-8 1.083927+0 1.428590-8 1.148154+0 1.271162-8 1.230269+0 1.114227-8 1.333521+0 9.627876-9 1.462177+0 8.209908-9 1.698244+0 6.379181-9 1.905461+0 5.290590-9 2.137962+0 4.420634-9 2.426610+0 3.655967-9 2.754229+0 3.045309-9 3.162278+0 2.513032-9 3.672823+0 2.056117-9 4.365158+0 1.644159-9 5.188000+0 1.324707-9 6.309573+0 1.045589-9 7.943282+0 7.97942-10 1.023293+1 5.98316-10 1.348963+1 4.40623-10 1.840772+1 3.14862-10 2.660725+1 2.13189-10 4.120975+1 1.35282-10 7.413102+1 7.41276-11 1.479108+2 3.68265-11 2.951209+2 1.83721-11 2.344229+3 2.30371-12 1.000000+5 5.39720-14 1 15000 7 0 3.097380+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 8.380000-6 8.380000-6 1.000000+5 8.380000-6 1 15000 7 9 3.097380+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 8.380000-6 0.0 1.000000+5 1.000000+5 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 8.330000-6 3.548020+7 8.609938-6 3.465620+7 8.850000-6 3.380340+7 9.120108-6 3.267738+7 9.440609-6 3.116244+7 9.700000-6 2.982700+7 1.000000-5 2.818660+7 1.023293-5 2.687132+7 1.050000-5 2.533520+7 1.071519-5 2.408728+7 1.100000-5 2.244180+7 1.122018-5 2.118782+7 1.150000-5 1.963080+7 1.180000-5 1.802214+7 1.216186-5 1.618375+7 1.250000-5 1.457976+7 1.290000-5 1.283432+7 1.330000-5 1.125720+7 1.365000-5 1.001374+7 1.412538-5 8.519432+6 1.462177-5 7.180314+6 1.515000-5 5.976960+6 1.570000-5 4.934940+6 1.630000-5 4.005500+6 1.698244-5 3.164224+6 1.778279-5 2.408853+6 1.862087-5 1.821561+6 2.089296-5 8.960986+5 2.170000-5 7.137600+5 2.230000-5 6.095100+5 2.285000-5 5.325300+5 2.330000-5 4.805000+5 2.376900-5 4.351112+5 2.426610-5 3.953564+5 2.470000-5 3.666440+5 2.511886-5 3.434594+5 2.540973-5 3.296565+5 2.580000-5 3.137440+5 2.610000-5 3.033280+5 2.650000-5 2.916060+5 2.691535-5 2.817436+5 2.730000-5 2.744340+5 2.770000-5 2.684560+5 2.818383-5 2.631330+5 2.870000-5 2.594100+5 2.920000-5 2.574200+5 2.985383-5 2.567805+5 3.060000-5 2.582020+5 3.150000-5 2.621900+5 3.260000-5 2.693640+5 3.427678-5 2.830266+5 3.801894-5 3.157931+5 4.000000-5 3.312120+5 4.168694-5 3.425247+5 4.365158-5 3.533713+5 4.570882-5 3.619709+5 4.786301-5 3.680667+5 5.011872-5 3.715680+5 5.248075-5 3.724235+5 5.500000-5 3.705660+5 5.754399-5 3.663181+5 6.025596-5 3.597538+5 6.309573-5 3.511271+5 6.650000-5 3.391100+5 7.000000-5 3.256520+5 7.413102-5 3.090593+5 7.852356-5 2.912671+5 8.317638-5 2.729581+5 8.912509-5 2.507036+5 9.549926-5 2.288152+5 1.035142-4 2.040491+5 1.109175-4 1.838394+5 1.202264-4 1.616060+5 1.303167-4 1.409648+5 1.412538-4 1.221282+5 1.548817-4 1.029181+5 1.737801-4 8.245890+4 1.972423-4 6.417176+4 2.200000-4 5.137280+4 2.420000-4 4.202400+4 2.660725-4 3.417176+4 2.951209-4 2.704367+4 3.311311-4 2.069828+4 3.715352-4 1.572662+4 4.265795-4 1.121576+4 4.786301-4 8.405032+3 5.432503-4 6.073652+3 6.025596-4 4.623205+3 6.683439-4 3.491053+3 7.413102-4 2.621972+3 8.317638-4 1.893715+3 9.332543-4 1.358148+3 1.059254-3 9.350546+2 1.202264-3 6.389594+2 1.364583-3 4.335377+2 1.584893-3 2.718657+2 1.819701-3 1.754000+2 2.089296-3 1.123183+2 2.398833-3 7.139460+1 2.754229-3 4.504622+1 3.126079-3 2.933424+1 3.589219-3 1.823199+1 4.168694-3 1.080588+1 4.841724-3 6.356328+0 5.688529-3 3.564508+0 6.683439-3 1.983884+0 7.852356-3 1.095839+0 9.225714-3 6.008355-1 1.083927-2 3.270679-1 1.288250-2 1.691877-1 1.548817-2 8.311058-2 1.883649-2 3.874143-2 2.371374-2 1.565472-2 3.162278-2 4.998870-3 6.309573-2 3.186860-4 8.128305-2 1.167318-4 9.885531-2 5.408959-5 1.174898-1 2.760881-5 1.364583-1 1.552368-5 1.566751-1 9.188846-6 1.778279-1 5.722282-6 2.000000-1 3.714600-6 2.238721-1 2.472100-6 2.483133-1 1.712969-6 2.722701-1 1.244428-6 3.000000-1 8.953100-7 3.273407-1 6.704382-7 3.589219-1 4.976922-7 3.890451-1 3.860364-7 4.216965-1 3.014216-7 4.570882-1 2.369575-7 4.954502-1 1.875754-7 5.370318-1 1.495561-7 5.821032-1 1.201096-7 6.309573-1 9.718700-8 6.839117-1 7.923143-8 7.413102-1 6.507022-8 8.035261-1 5.383102-8 8.709636-1 4.485350-8 9.440609-1 3.764439-8 1.023293+0 3.182261-8 1.130300+0 2.606400-8 1.244515+0 2.164986-8 1.364583+0 1.826237-8 1.500000+0 1.544100-8 1.659587+0 1.300164-8 1.862087+0 1.077453-8 2.113489+0 8.834702-9 2.398833+0 7.301401-9 2.722701+0 6.078130-9 3.126079+0 5.012869-9 3.630781+0 4.099216-9 4.315191+0 3.276217-9 5.128614+0 2.638254-9 6.237348+0 2.081424-9 7.852356+0 1.587836-9 1.011579+1 1.190112-9 1.318257+1 8.87310-10 1.800000+1 6.33270-10 2.630268+1 4.23708-10 4.073803+1 2.68805-10 7.328245+1 1.47272-10 1.462177+2 7.31549-11 2.917427+2 3.64937-11 2.317395+3 4.57591-12 1.000000+5 1.05980-13 1 15000 7 0 3.097380+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 8.330000-6 8.330000-6 1.000000+5 8.330000-6 1 15000 7 9 3.097380+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 8.330000-6 0.0 1.000000+5 1.000000+5 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 8.838830-9 1.028750+0 8.838830-8 1.036640+0 8.838830-7 1.038200+0 1.192830-6 1.039700+0 1.549720-6 1.041500+0 2.061890-6 1.043800+0 2.861980-6 1.046400+0 3.981910-6 1.048300+0 4.957580-6 1.051200+0 6.724850-6 1.054080+0 8.838830-6 1.057700+0 1.204780-5 1.061100+0 1.567110-5 1.065100+0 2.074670-5 1.070400+0 2.894350-5 1.076200+0 3.999950-5 1.080600+0 4.995280-5 1.087100+0 6.730350-5 1.093710+0 8.838830-5 1.102600+0 1.225570-4 1.110700+0 1.598500-4 1.120600+0 2.138540-4 1.133300+0 2.973750-4 1.147500+0 4.106380-4 1.158200+0 5.103380-4 1.174100+0 6.819790-4 1.190110+0 8.838830-4 1.205100+0 1.099660-3 1.227500+0 1.471130-3 1.250000+0 1.903000-3 1.281300+0 2.600210-3 1.308600+0 3.297940-3 1.332500+0 3.975230-3 1.374400+0 5.306000-3 1.405800+0 6.417440-3 1.452900+0 8.256700-3 1.500000+0 1.029000-2 1.562500+0 1.326390-2 1.617200+0 1.610040-2 1.712900+0 2.152830-2 1.784700+0 2.593440-2 1.892300+0 3.297410-2 2.000000+0 4.044000-2 2.044000+0 4.358000-2 2.163500+0 5.227500-2 2.372600+0 6.783730-2 2.647100+0 8.845150-2 3.000000+0 1.147000-1 3.437500+0 1.464150-1 4.000000+0 1.852000-1 4.750000+0 2.328010-1 5.000000+0 2.478000-1 6.000000+0 3.039000-1 7.000000+0 3.537000-1 8.000000+0 3.987000-1 9.000000+0 4.394000-1 1.000000+1 4.763000-1 1.100000+1 5.098000-1 1.200000+1 5.405000-1 1.300000+1 5.690000-1 1.400000+1 5.955000-1 1.500000+1 6.203000-1 1.600000+1 6.435000-1 1.800000+1 6.861000-1 2.000000+1 7.242000-1 2.200000+1 7.586000-1 2.400000+1 7.899000-1 2.600000+1 8.186000-1 2.800000+1 8.450000-1 3.000000+1 8.694000-1 4.000000+1 9.705000-1 5.000000+1 1.046000+0 6.000000+1 1.105000+0 8.000000+1 1.193000+0 1.000000+2 1.256000+0 1.500000+2 1.358000+0 2.000000+2 1.420000+0 3.000000+2 1.494000+0 4.000000+2 1.538000+0 5.000000+2 1.566000+0 6.000000+2 1.587000+0 8.000000+2 1.615000+0 1.000000+3 1.633000+0 1.500000+3 1.660000+0 2.000000+3 1.674000+0 3.000000+3 1.690000+0 4.000000+3 1.698000+0 5.000000+3 1.704000+0 6.000000+3 1.707000+0 8.000000+3 1.712000+0 1.000000+4 1.715000+0 1.500000+4 1.720000+0 2.000000+4 1.722000+0 3.000000+4 1.724000+0 4.000000+4 1.726000+0 5.000000+4 1.727000+0 6.000000+4 1.727000+0 8.000000+4 1.728000+0 1.000000+5 1.728000+0 1 15000 7 8 3.097380+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 15000 7 9 3.097380+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 1.506220-7 2.127900+0 1.146460-6 2.136250+0 1.506220-6 2.147000+0 2.065130-6 2.156900+0 2.682360-6 2.169000+0 3.579780-6 2.184500+0 4.976010-6 2.201800+0 6.884450-6 2.214800+0 8.577490-6 2.234200+0 1.153820-5 2.253680+0 1.506220-5 2.281500+0 2.109730-5 2.307000+0 2.771120-5 2.338200+0 3.726020-5 2.377400+0 5.160100-5 2.410200+0 6.562780-5 2.446800+0 8.348230-5 2.485900+0 1.051090-4 2.532900+0 1.345160-4 2.556430+0 1.506220-4 2.611900+0 1.920590-4 2.660400+0 2.321870-4 2.745300+0 3.107650-4 2.809000+0 3.763520-4 2.904500+0 4.848270-4 3.000000+0 6.052000-4 3.125000+0 7.804240-4 3.234400+0 9.496620-4 3.425800+0 1.279030-3 3.569300+0 1.551130-3 3.784700+0 1.994360-3 4.000000+0 2.471000-3 4.250000+0 3.053910-3 4.625000+0 3.970460-3 5.000000+0 4.924000-3 5.500000+0 6.234030-3 6.000000+0 7.562000-3 6.750000+0 9.538240-3 7.000000+0 1.019000-2 8.000000+0 1.275000-2 9.000000+0 1.520000-2 1.000000+1 1.753000-2 1.100000+1 1.974000-2 1.200000+1 2.183000-2 1.300000+1 2.381000-2 1.400000+1 2.569000-2 1.500000+1 2.748000-2 1.600000+1 2.918000-2 1.800000+1 3.234000-2 2.000000+1 3.523000-2 2.200000+1 3.789000-2 2.400000+1 4.034000-2 2.600000+1 4.262000-2 2.800000+1 4.474000-2 3.000000+1 4.672000-2 4.000000+1 5.500000-2 5.000000+1 6.140000-2 6.000000+1 6.654000-2 8.000000+1 7.443000-2 1.000000+2 8.028000-2 1.500000+2 9.021000-2 2.000000+2 9.662000-2 3.000000+2 1.047000-1 4.000000+2 1.097000-1 5.000000+2 1.131000-1 6.000000+2 1.157000-1 8.000000+2 1.193000-1 1.000000+3 1.217000-1 1.500000+3 1.254000-1 2.000000+3 1.274000-1 3.000000+3 1.297000-1 4.000000+3 1.311000-1 5.000000+3 1.319000-1 6.000000+3 1.325000-1 8.000000+3 1.333000-1 1.000000+4 1.338000-1 1.500000+4 1.345000-1 2.000000+4 1.349000-1 3.000000+4 1.352000-1 4.000000+4 1.355000-1 5.000000+4 1.356000-1 6.000000+4 1.357000-1 8.000000+4 1.358000-1 1.000000+5 1.359000-1 1 15000 7 8 3.097380+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 15000 7 9 3.097380+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 1.500000+1 1.000000+5 1.500000+1 5.000000+5 1.499300+1 7.500000+5 1.498430+1 1.000000+6 1.497600+1 1.500000+6 1.494900+1 2.000000+6 1.490900+1 2.500000+6 1.485800+1 3.000000+6 1.479800+1 3.500000+6 1.472560+1 4.000000+6 1.464600+1 4.750000+6 1.450700+1 5.000000+6 1.445800+1 5.500000+6 1.435070+1 6.000000+6 1.423730+1 6.250000+6 1.417670+1 7.000000+6 1.398900+1 7.500000+6 1.385580+1 8.000000+6 1.371920+1 8.250000+6 1.364840+1 9.000000+6 1.343300+1 9.750000+6 1.320980+1 1.000000+7 1.313500+1 1.062500+7 1.294450+1 1.125000+7 1.275400+1 1.156300+7 1.265740+1 1.250000+7 1.237100+1 1.375000+7 1.199110+1 1.437500+7 1.180480+1 1.500000+7 1.162300+1 1.625000+7 1.126830+1 1.750000+7 1.093300+1 1.937500+7 1.046540+1 2.000000+7 1.032000+1 2.218800+7 9.847800+0 2.500000+7 9.326800+0 2.750000+7 8.932110+0 3.000000+7 8.590900+0 3.500000+7 8.023130+0 3.750000+7 7.774410+0 4.000000+7 7.540600+0 4.500000+7 7.096790+0 4.875000+7 6.773820+0 5.000000+7 6.667200+0 5.437500+7 6.292960+0 5.812500+7 5.975000+0 6.000000+7 5.818200+0 6.437500+7 5.456200+0 6.812500+7 5.154720+0 7.000000+7 5.007900+0 7.500000+7 4.628860+0 8.000000+7 4.273200+0 8.500000+7 3.942160+0 9.000000+7 3.637700+0 9.750000+7 3.231660+0 1.000000+8 3.110000+0 1.125000+8 2.595950+0 1.187500+8 2.391400+0 1.250000+8 2.216000+0 1.312500+8 2.066250+0 1.406300+8 1.882010+0 1.437500+8 1.830010+0 1.476600+8 1.770660+0 1.500000+8 1.737900+0 1.589800+8 1.629950+0 1.665000+8 1.555900+0 1.750000+8 1.485470+0 1.784700+8 1.459930+0 1.928200+8 1.368220+0 2.000000+8 1.328700+0 2.500000+8 1.117400+0 2.671900+8 1.059090+0 2.789100+8 1.019500+0 2.929700+8 9.702280-1 3.000000+8 9.445000-1 3.125000+8 8.973660-1 3.500000+8 7.717000-1 3.812500+8 6.955190-1 3.937500+8 6.655960-1 4.000000+8 6.500000-1 4.125000+8 6.170480-1 4.282200+8 5.744720-1 4.413800+8 5.393130-1 4.497600+8 5.176030-1 5.000000+8 4.065000-1 5.500000+8 3.277680-1 5.750000+8 2.946920-1 5.937500+8 2.713620-1 6.000000+8 2.638000-1 6.562500+8 2.043570-1 6.718800+8 1.918170-1 6.859400+8 1.821800-1 7.000000+8 1.741000-1 7.125000+8 1.681470-1 7.343800+8 1.595190-1 7.671900+8 1.479710-1 7.835900+8 1.419540-1 8.000000+8 1.354000-1 8.125000+8 1.299620-1 8.297100+8 1.220760-1 8.455000+8 1.146810-1 8.648200+8 1.057060-1 8.817100+8 9.811500-2 9.112900+8 8.577600-2 1.000000+9 5.790000-2 1.031300+9 5.117010-2 1.060500+9 4.596600-2 1.100900+9 4.006250-2 1.137900+9 3.565540-2 1.162000+9 3.321420-2 1.500000+9 1.438000-2 1.562500+9 1.248260-2 1.617200+9 1.104200-2 1.712900+9 8.945050-3 1.856400+9 6.606170-3 2.000000+9 4.967100-3 4.250000+9 2.767670-4 5.000000+9 1.482600-4 8.000000+9 2.429600-5 9.500000+9 1.259510-5 1.00000+10 1.036200-5 1.20500+10 5.121470-6 1.41820+10 2.783160-6 1.71170+10 1.385620-6 2.01490+10 7.611500-7 2.26440+10 4.973100-7 2.74790+10 2.470120-7 3.20120+10 1.429050-7 3.62610+10 9.171980-8 4.42280+10 4.550330-8 5.12000+10 2.726560-8 6.34000+10 1.299440-8 7.25500+10 8.173910-9 8.62750+10 4.524930-9 1.00000+11 2.744400-9 1.26840+11 1.235480-9 1.58400+11 5.90557-10 2.07460+11 2.43299-10 2.55250+11 1.23949-10 3.65300+11 3.91264-11 5.05370+11 1.39644-11 8.52890+11 2.71854-12 1.34130+12 6.74845-13 2.64130+12 8.66581-14 6.55190+12 5.80754-15 1.00000+14 2.02260-18 5.62340+14 1.24640-20 5.42470+15 1.43230-23 1.00000+17 2.19660-27 1 15000 7 0 3.097380+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 3.20000-12 1.000000+2 3.20000-10 1.000000+3 3.200000-8 1.000000+4 3.200000-6 1.000000+5 3.200000-4 5.000000+5 8.000000-3 7.500000+5 1.800000-2 1.000000+6 3.200000-2 1.500000+6 7.120000-2 2.000000+6 1.256000-1 2.500000+6 1.944000-1 3.000000+6 2.766000-1 3.500000+6 3.712120-1 4.000000+6 4.773000-1 4.750000+6 6.552820-1 5.000000+6 7.190000-1 5.500000+6 8.518510-1 6.000000+6 9.910870-1 6.250000+6 1.062710+0 7.000000+6 1.284000+0 7.500000+6 1.435490+0 8.000000+6 1.589090+0 8.250000+6 1.666350+0 9.000000+6 1.898600+0 9.750000+6 2.129490+0 1.000000+7 2.206000+0 1.062500+7 2.395380+0 1.125000+7 2.581940+0 1.156300+7 2.674050+0 1.250000+7 2.943500+0 1.375000+7 3.286400+0 1.437500+7 3.450980+0 1.500000+7 3.611000+0 1.625000+7 3.917220+0 1.750000+7 4.205700+0 1.937500+7 4.606040+0 2.000000+7 4.732000+0 2.218800+7 5.142250+0 2.500000+7 5.610600+0 2.750000+7 5.978990+0 3.000000+7 6.312000+0 3.500000+7 6.902890+0 3.750000+7 7.173410+0 4.000000+7 7.435000+0 4.500000+7 7.937520+0 4.875000+7 8.300700+0 5.000000+7 8.419000+0 5.437500+7 8.824350+0 5.812500+7 9.160010+0 6.000000+7 9.323000+0 6.437500+7 9.689610+0 6.812500+7 9.987790+0 7.000000+7 1.013100+1 7.500000+7 1.049280+1 8.000000+7 1.082700+1 8.500000+7 1.113240+1 9.000000+7 1.141100+1 9.750000+7 1.177780+1 1.000000+8 1.188800+1 1.125000+8 1.235650+1 1.187500+8 1.254800+1 1.250000+8 1.271600+1 1.312500+8 1.286120+1 1.406300+8 1.304930+1 1.437500+8 1.310590+1 1.476600+8 1.317090+1 1.500000+8 1.320900+1 1.589800+8 1.334070+1 1.665000+8 1.343890+1 1.750000+8 1.353840+1 1.784700+8 1.357780+1 1.928200+8 1.372290+1 2.000000+8 1.379000+1 2.500000+8 1.417700+1 2.671900+8 1.428340+1 2.789100+8 1.434970+1 2.929700+8 1.442320+1 3.000000+8 1.445700+1 3.125000+8 1.451130+1 3.500000+8 1.465000+1 3.812500+8 1.473550+1 3.937500+8 1.476400+1 4.000000+8 1.477800+1 4.125000+8 1.480110+1 4.282200+8 1.482820+1 4.413800+8 1.484680+1 4.497600+8 1.485840+1 5.000000+8 1.491100+1 5.500000+8 1.494250+1 5.750000+8 1.495300+1 5.937500+8 1.496050+1 6.000000+8 1.496300+1 6.562500+8 1.497620+1 6.718800+8 1.497960+1 6.859400+8 1.498190+1 7.000000+8 1.498400+1 7.125000+8 1.498520+1 7.343800+8 1.498720+1 7.671900+8 1.499020+1 7.835900+8 1.499160+1 8.000000+8 1.499300+1 8.125000+8 1.499330+1 8.297100+8 1.499380+1 8.455000+8 1.499420+1 8.648200+8 1.499470+1 8.817100+8 1.499520+1 9.112900+8 1.499590+1 1.000000+9 1.499800+1 1.031300+9 1.499820+1 1.060500+9 1.499830+1 1.100900+9 1.499850+1 1.137900+9 1.499860+1 1.162000+9 1.499870+1 1.500000+9 1.500000+1 1.562500+9 1.500000+1 1.617200+9 1.500000+1 1.712900+9 1.500000+1 1.856400+9 1.500000+1 2.000000+9 1.500000+1 4.250000+9 1.500000+1 5.000000+9 1.500000+1 8.000000+9 1.500000+1 9.500000+9 1.500000+1 1.00000+10 1.500000+1 1.20500+10 1.500000+1 1.41820+10 1.500000+1 1.71170+10 1.500000+1 2.01490+10 1.500000+1 2.26440+10 1.500000+1 2.74790+10 1.500000+1 3.20120+10 1.500000+1 3.62610+10 1.500000+1 4.42280+10 1.500000+1 5.12000+10 1.500000+1 6.34000+10 1.500000+1 7.25500+10 1.500000+1 8.62750+10 1.500000+1 1.00000+11 1.500000+1 1.26840+11 1.500000+1 1.58400+11 1.500000+1 2.07460+11 1.500000+1 2.55250+11 1.500000+1 3.65300+11 1.500000+1 5.05370+11 1.500000+1 8.52890+11 1.500000+1 1.34130+12 1.500000+1 2.64130+12 1.500000+1 6.55190+12 1.500000+1 1.00000+14 1.500000+1 5.62340+14 1.500000+1 5.42470+15 1.500000+1 1.00000+17 1.500000+1 1 15000 7 0 3.097380+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.044795-6 0.0 5.066134-6 0.0 5.084838-6 5.662907-1 5.091073-6 7.526598-1 5.103542-6 1.374795+0 5.116012-6 2.318093+0 5.128482-6 3.635696+0 5.165891-6 9.146452+0 5.179140-6 1.078360+1 5.192730-6 1.183065+1 5.205318-6 1.213351+1 5.219242-6 1.171044+1 5.234206-6 1.058221+1 5.253622-6 8.466852+0 5.290656-6 4.208826+0 5.315893-6 1.816592+0 5.328511-6 1.172729+0 5.341130-6 6.988623-1 5.353748-6 3.844499-1 5.372676-6 9.772872-2 5.378985-6 0.0 6.006771-6 0.0 6.010841-6 1.451249-7 6.036341-6 1.936857-6 6.040431-6 2.316932-6 6.051126-6 3.559252-6 6.055226-6 4.158923-6 6.067243-6 6.318549-6 6.071312-6 7.208899-6 6.084815-6 1.103955-5 6.101200-6 1.649575-5 6.131087-6 2.721268-5 6.143995-6 3.110353-5 6.158790-6 3.400703-5 6.175919-6 3.487671-5 6.190862-6 3.361888-5 6.205806-6 3.070996-5 6.220750-6 2.664567-5 6.258114-6 1.483219-5 6.277149-6 9.715615-6 6.295469-6 5.704316-6 6.302469-6 4.351280-6 6.306739-6 3.684202-6 6.310413-6 3.245416-6 6.325356-6 1.934036-6 6.340300-6 1.063929-6 6.355244-6 5.402750-7 6.370188-6 0.0 6.599062-6 0.0 6.599111-6 2.524583-4 6.629567-6 1.563510+0 6.631597-6 1.666779+0 6.647840-6 3.044381+0 6.659583-6 4.554454+0 6.664083-6 5.248161+0 6.682356-6 9.008145+0 6.698599-6 1.303904+1 6.729054-6 2.151115+1 6.746312-6 2.558071+1 6.764875-6 2.833758+1 6.781263-6 2.902835+1 6.797426-6 2.804561+1 6.815509-6 2.530022+1 6.843147-6 1.929587+1 6.868551-6 1.359004+1 6.876851-6 1.184475+1 6.893450-6 8.932094+0 6.923969-6 4.740265+0 6.938523-6 3.785320+0 6.955272-6 2.933451+0 6.986046-6 1.617052+0 6.987417-6 1.555528+0 7.009648-6 1.109533+0 7.026247-6 8.096990-1 7.042847-6 5.572704-1 7.055762-6 4.003533-1 7.072511-6 2.191506-1 7.076046-6 1.870647-1 7.089259-6 1.218507-1 7.106008-6 6.703106-2 7.122756-6 3.403912-2 7.139505-6 0.0 7.263654-6 0.0 7.263684-6 6.387237-5 7.294971-6 6.776782-1 7.299441-6 7.734988-1 7.317320-6 1.412827+0 7.324165-6 1.783707+0 7.335198-6 2.500849+0 7.355831-6 4.318131+0 7.385697-6 7.705180+0 7.410034-6 1.069682+1 7.429271-6 1.264039+1 7.449962-6 1.387431+1 7.466897-6 1.412547+1 7.485548-6 1.350448+1 7.508039-6 1.179856+1 7.569212-6 5.217665+0 7.580350-6 4.277888+0 7.590624-6 3.557835+0 7.613686-6 2.263332+0 7.621880-6 1.959886+0 7.632049-6 1.825579+0 7.648718-6 1.950021+0 7.670243-6 2.548263+0 7.687842-6 3.281456+0 7.737960-6 6.222728+0 7.763231-6 7.382517+0 7.788053-6 7.755205+0 7.813275-6 7.484323+0 7.876908-6 6.008049+0 7.907360-6 5.758480+0 8.001968-6 6.278464+0 8.231679-6 6.262634+0 8.312468-6 6.210746+0 8.473921-6 6.356026+0 8.617443-6 6.396433+0 8.659864-6 7.926841+0 8.677924-6 9.001895+0 8.702286-6 1.287168+1 8.722147-6 1.685366+1 8.747358-6 2.394858+1 8.773540-6 3.352221+1 8.822839-6 5.283514+1 8.850368-6 6.051034+1 8.873113-6 6.258237+1 8.897537-6 5.995956+1 8.918204-6 5.452135+1 8.951382-6 4.168992+1 8.978025-6 3.056765+1 8.999236-6 2.287022+1 9.020447-6 1.682303+1 9.041657-6 1.214220+1 9.062397-6 9.602070+0 9.105116-6 6.401652+0 1.002911-5 6.045105+0 1.088059-5 5.431103+0 1.347386-5 3.102238+0 1.435293-5 2.453726+0 1.486953-5 2.143688+0 1.508645-5 2.045714+0 1.542748-5 1.818485+0 1.630000-5 1.420309+0 1.717232-5 1.108573+0 1.797599-5 8.907824-1 1.890863-5 6.998335-1 1.976301-5 5.709165-1 2.066579-5 4.711411-1 2.160989-5 3.972599-1 2.257332-5 3.464925-1 2.376900-5 3.088262-1 2.515465-5 2.900160-1 2.650768-5 2.890795-1 2.878159-5 3.114933-1 3.260500-5 3.815782-1 4.220000-5 5.775983-1 4.900000-5 6.816419-1 5.559043-5 7.460692-1 6.400000-5 7.895394-1 7.791237-5 7.955879-1 1.079169-4 7.208222-1 1.317862-4 6.443143-1 1.327594-4 6.796009-1 1.333502-4 7.443069-1 1.340430-4 8.949813-1 1.343676-4 9.950726-1 1.347980-4 1.158416+0 1.353681-4 1.426169+0 1.360385-4 1.832131+0 1.365496-4 2.247953+0 1.372471-4 2.954582+0 1.382462-4 4.225317+0 1.404851-4 7.377525+0 1.416040-4 8.569614+0 1.429905-4 9.445055+0 1.459499-4 1.015584+1 1.520000-4 1.070362+1 1.747402-4 1.102696+1 1.758830-4 1.154841+1 1.770462-4 1.289843+1 1.783899-4 1.463579+1 1.789945-4 1.473716+1 1.798660-4 1.397231+1 1.814619-4 1.181889+1 1.825478-4 1.126920+1 1.834977-4 1.129170+1 1.862463-4 1.191583+1 2.225537-4 1.082120+1 3.058771-4 7.814946+0 3.630781-4 6.310848+0 4.271890-4 5.070337+0 4.960298-4 4.115351+0 5.770985-4 3.301471+0 6.683439-4 2.648583+0 7.783622-4 2.093073+0 8.853386-4 1.708443+0 1.004146-3 1.395772+0 1.142727-3 1.130957+0 1.282839-3 9.345510-1 1.444295-3 7.671050-1 1.635392-3 6.221785-1 1.860633-3 4.992569-1 2.071181-3 4.164408-1 2.077980-3 4.697969-1 2.081376-3 5.038450-1 2.086474-3 5.876675-1 2.091577-3 7.225767-1 2.096688-3 9.248222-1 2.103266-3 1.299230+0 2.109310-3 1.725432+0 2.122240-3 2.795261+0 2.127350-3 3.160306+0 2.135897-3 3.597200+0 2.146161-3 3.884333+0 2.162944-3 3.983569+0 2.349765-3 3.612187+0 2.700980-3 2.903865+0 3.098834-3 2.336652+0 3.551326-3 1.876283+0 3.998510-3 1.538852+0 4.533396-3 1.242939+0 5.144214-3 9.967059-1 5.746124-3 8.182276-1 6.416950-3 6.700297-1 7.148674-3 5.495789-1 7.924416-3 4.533878-1 8.858038-3 3.673934-1 9.655080-3 3.115577-1 1.074517-2 2.534861-1 1.178583-2 2.116106-1 1.296067-2 1.755014-1 1.434456-2 1.434107-1 1.614475-2 1.130743-1 1.756760-2 9.527165-2 1.927178-2 7.890284-2 2.110381-2 6.539186-2 2.319975-2 5.377727-2 2.555892-2 4.392171-2 2.838924-2 3.523627-2 3.097987-2 2.929623-2 3.380038-2 2.434352-2 3.738974-2 1.963425-2 4.106984-2 1.604093-2 4.545499-2 1.288738-2 5.072499-2 1.015843-2 5.617265-2 8.130570-3 6.092128-2 6.810909-3 6.766099-2 5.417233-3 7.418468-2 4.426886-3 8.093349-2 3.654726-3 8.779638-2 3.055663-3 9.549926-2 2.537572-3 1.050525-1 2.056496-3 1.152539-1 1.676199-3 1.248023-1 1.406110-3 1.360316-1 1.165079-3 1.484087-1 9.640686-4 1.615985-1 8.009160-4 1.755720-1 6.704332-4 1.924160-1 5.508584-4 2.137962-1 4.402744-4 2.334130-1 3.662098-4 2.539830-1 3.076434-4 2.760339-1 2.595050-4 3.000000-1 2.198227-4 3.311531-1 1.811540-4 3.662267-1 1.495120-4 4.058716-1 1.237208-4 4.540352-1 1.014696-4 5.040806-1 8.502521-5 5.573810-1 7.238109-5 6.345999-1 5.948044-5 6.998420-1 5.191625-5 7.940157-1 4.413125-5 9.120108-1 3.746143-5 1.070165+0 3.170383-5 1.286622+0 2.635759-5 1.546860+0 2.191290-5 1.859734+0 1.821771-5 2.235892+0 1.514565-5 2.688134+0 1.259163-5 3.231848+0 1.046830-5 3.885536+0 8.703021-6 4.671441+0 7.235425-6 5.616308+0 6.015311-6 6.752287+0 5.000946-6 8.118035+0 4.157633-6 9.760024+0 3.456529-6 1.000000+1 6.765774-6 1 15000 7 0 3.097380+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-1.498015+1 3.044795-6-1.474919+1 4.399213-6-1.405637+1 4.809316-6-1.320461+1 4.964380-6-1.222325+1 5.031170-6-1.120008+1 5.061985-6-1.021331+1 5.103542-6-7.922983+0 5.117571-6-7.085648+0 5.132681-6-6.425218+0 5.142416-6-6.419806+0 5.155362-6-6.867919+0 5.165891-6-7.709333+0 5.178360-6-9.260649+0 5.192730-6-1.161532+1 5.216341-6-1.560127+1 5.234206-6-1.300412+1 5.250123-6-1.136359+1 5.268887-6-1.033762+1 5.287521-6-1.008378+1 5.309904-6-1.054499+1 5.358086-6-1.295114+1 5.404877-6-1.445571+1 5.504689-6-1.577257+1 5.795517-6-1.436625+1 6.205806-6-1.257633+1 6.370188-6-1.120634+1 6.463700-6-9.838810+0 6.519715-6-8.520719+0 6.558365-6-7.136070+0 6.581893-6-5.895524+0 6.595843-6-4.829868+0 6.604695-6-3.857004+0 6.623476-6-2.235945+0 6.629567-6-1.647647+0 6.635658-6-9.493554-1 6.641749-6-3.220659-1 6.644794-6 7.180626-3 6.647840-6 3.922968-1 6.659583-6 1.759590+0 6.666113-6 2.578071+0 6.669666-6 2.909039+0 6.682356-6 3.849138+0 6.685909-6 4.010596+0 6.698599-6 4.237087+0 6.705737-6 4.028231+0 6.713752-6 3.470903+0 6.720447-6 2.755791+0 6.724751-6 2.160772+0 6.726902-6 1.813190+0 6.729054-6 1.405954+0 6.737176-6-2.136132-1 6.741236-6-1.121180+0 6.744282-6-1.901979+0 6.746312-6-2.530250+0 6.755830-6-5.164170+0 6.760826-6-6.740720+0 6.764875-6-8.199543+0 6.777556-6-1.237050+1 6.786697-6-1.547380+1 6.790323-6-1.654195+1 6.801102-6-1.309503+1 6.815509-6-9.246766+0 6.829127-6-6.480818+0 6.837911-6-5.168181+0 6.843147-6-4.559661+0 6.850630-6-3.884102+0 6.857846-6-3.455936+0 6.868551-6-3.213988+0 6.874776-6-3.212265+0 6.891375-6-3.720706+0 6.910050-6-4.752264+0 6.920489-6-5.520577+0 6.929569-6-6.512542+0 6.942710-6-7.561398+0 6.976449-6-9.594011+0 7.009648-6-1.149346+1 7.106008-6-1.540896+1 7.140475-6-1.652637+1 7.209763-6-1.545271+1 7.262717-6-1.348060+1 7.317320-6-1.057118+1 7.342291-6-9.097525+0 7.363537-6-8.354918+0 7.385697-6-8.318081+0 7.401050-6-8.861104+0 7.410034-6-9.462654+0 7.428139-6-1.119220+1 7.447906-6-1.375009+1 7.472596-6-1.723746+1 7.479682-6-1.683489+1 7.489911-6-1.550181+1 7.512874-6-1.326501+1 7.534811-6-1.218766+1 7.554875-6-1.201941+1 7.577565-6-1.279803+1 7.613686-6-1.504449+1 7.647896-6-1.786848+1 7.691688-6-1.554873+1 7.722954-6-1.515746+1 7.758054-6-1.605143+1 7.806538-6-1.833005+1 7.846396-6-1.762210+1 7.903392-6-1.820104+1 7.991096-6-1.890960+1 8.202299-6-1.965825+1 8.376843-6-2.150161+1 8.428102-6-2.233219+1 8.568078-6-1.326657+1 8.605080-6-1.016745+1 8.617443-6-8.767092+0 8.651910-6-4.648026+0 8.659864-6-3.506322+0 8.668894-6-2.084898+0 8.673409-6-1.319746+0 8.675666-6-8.955244-1 8.676795-6-6.625249-1 8.677924-6-3.906273-1 8.681075-6 3.286012-1 8.683726-6 8.572730-1 8.688366-6 1.653570+0 8.706875-6 4.537049+0 8.718922-6 6.289586+0 8.724967-6 7.318992+0 8.747358-6 9.802240+0 8.759567-6 1.041871+1 8.768569-6 1.062843+1 8.777890-6 1.025273+1 8.785027-6 9.602874+0 8.795226-6 8.174976+0 8.803422-6 6.563113+0 8.808339-6 5.309479+0 8.817619-6 2.638301+0 8.820602-6 1.703486+0 8.822839-6 9.599241-1 8.826194-6-2.455781-1 8.827872-6-9.070918-1 8.828711-6-1.263010+0 8.830876-6-2.280636+0 8.843304-6-7.478773+0 8.850000-6-1.071572+1 8.854194-6-1.307472+1 8.863986-6-1.785598+1 8.871814-6-1.353483+1 8.873113-6-1.265511+1 8.893182-6-2.025869+0 8.893845-6-1.593834+0 8.895129-6-8.678165-1 8.897537-6 3.729161-1 8.899644-6 1.390512+0 8.918204-6 9.738733+0 8.925817-6 1.250319+1 8.938255-6 1.639681+1 8.951382-6 1.929561+1 8.966785-6 2.129758+1 8.978025-6 2.173384+1 8.996585-6 2.115283+1 9.020447-6 1.849623+1 9.039669-6 1.561508+1 9.044250-6 1.461315+1 9.069739-6 1.062109+1 9.102446-6 6.572220+0 9.109646-6 5.385460+0 9.118693-6 4.337154+0 9.127727-6 3.483355+0 9.136743-6 2.748860+0 9.145742-6 2.101640+0 9.154723-6 1.522955+0 9.163686-6 9.997367-1 9.172632-6 5.226550-1 9.181561-6 8.573601-2 9.199383-6-6.891811-1 9.217135-6-1.357049+0 9.234818-6-1.939545+0 9.252432-6-2.452655+0 9.287454-6-3.313914+0 9.339476-6-4.309759+0 9.390957-6-5.062479+0 9.492187-6-6.110054+0 9.634663-6-7.024317+0 9.860707-6-7.799152+0 1.013965-5-8.237540+0 1.066871-5-8.433315+0 1.319885-5-8.075234+0 1.597314-5-8.533266+0 2.207347-5-9.895399+0 2.975605-5-1.066810+1 4.650000-5-1.109187+1 8.201250-5-1.162282+1 1.044870-4-1.268102+1 1.186960-4-1.407894+1 1.271720-4-1.566726+1 1.317862-4-1.729840+1 1.360385-4-2.040599+1 1.384199-4-2.198938+1 1.404851-4-2.163769+1 1.452938-4-1.814559+1 1.510000-4-1.582230+1 1.589921-4-1.387001+1 1.689066-4-1.247308+1 1.736061-4-1.240344+1 1.758830-4-1.322172+1 1.770462-4-1.283702+1 1.776431-4-1.298311+1 1.784966-4-1.161152+1 1.794329-4-9.760422+0 1.800348-4-8.925750+0 1.806149-4-8.575811+0 1.814619-4-8.723748+0 1.834977-4-9.834863+0 1.851279-4-9.916029+0 1.893347-4-9.135022+0 2.040420-4-7.415739+0 2.225537-4-5.762981+0 2.414764-4-4.516671+0 2.590698-4-3.638998+0 2.778113-4-2.931168+0 2.966464-4-2.395825+0 3.155241-4-2.001794+0 3.315639-4-1.734164+0 3.584058-4-1.399567+0 3.790967-4-1.211339+0 4.081138-4-1.024643+0 4.516985-4-8.333398-1 4.817831-4-7.479375-1 5.208573-4-6.754241-1 5.770985-4-6.307998-1 6.475153-4-6.311831-1 7.467140-4-6.826243-1 9.635628-4-8.748829-1 1.329741-3-1.263026+0 1.571256-3-1.587807+0 1.738667-3-1.903865+0 1.860633-3-2.244116+0 1.941304-3-2.582880+0 1.995980-3-2.922233+0 2.038109-3-3.317358+0 2.071181-3-3.821551+0 2.090855-3-4.358766+0 2.120113-3-5.607520+0 2.131059-3-5.759886+0 2.140739-3-5.561327+0 2.173139-3-4.087053+0 2.191969-3-3.527810+0 2.215522-3-3.069990+0 2.250761-3-2.587881+0 2.294541-3-2.147497+0 2.349765-3-1.743397+0 2.421378-3-1.368913+0 2.487486-3-1.106454+0 2.560618-3-8.770399-1 2.639795-3-6.798651-1 2.716830-3-5.231995-1 2.806173-3-3.768056-1 2.871801-3-2.872226-1 2.949943-3-1.941372-1 3.020410-3-1.231809-1 3.098834-3-5.407725-2 3.171369-3 1.194284-3 3.186180-3 1.251940-2 3.266895-3 6.526961-2 3.349654-3 1.133981-1 3.447466-3 1.626610-1 3.551326-3 2.055504-1 3.713014-3 2.564636-1 3.829349-3 2.867493-1 4.087474-3 3.320183-1 4.430204-3 3.686489-1 4.797736-3 3.851408-1 5.559043-3 3.837829-1 7.148674-3 3.302424-1 9.407550-3 2.502773-1 1.146916-2 1.950021-1 1.341365-2 1.564735-1 1.568062-2 1.231915-1 1.811210-2 9.700316-2 2.043330-2 7.831102-2 2.319975-2 6.144712-2 2.555892-2 5.040865-2 2.838924-2 3.995302-2 3.097987-2 3.239383-2 3.380038-2 2.573354-2 3.738974-2 1.902387-2 4.106984-2 1.365520-2 4.436948-2 9.759286-3 4.767056-2 6.522068-3 5.072499-2 4.006816-3 5.265066-2 2.609316-3 5.363835-2 1.943181-3 5.492439-2 1.127384-3 5.617265-2 3.804255-4 5.731776-2-2.683063-4 5.840652-2-8.545145-4 5.972616-2-1.524739-3 6.092128-2-2.100779-3 6.385569-2-3.387333-3 6.766099-2-4.840892-3 7.246882-2-6.383577-3 7.883946-2-8.052636-3 8.779638-2-9.861118-3 1.022190-1-1.190699-2 1.216843-1-1.367075-2 1.525450-1-1.527718-2 2.085359-1-1.667356-2 3.184307-1-1.764544-2 7.296675-1-1.823608-2 2.235892+0-1.836021-2 6.752287+0-1.837338-2 1.000000+1-1.837273-2 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 4.003813-6 1.058280-6 5.076368-6 1.098044-6 6.006771-6 1.124423-6 6.525780-6 1.166672-6 7.676350-6 1.195797-6 8.489935-6 1.240728-6 1.000811-5 1.271702-6 1.108723-5 1.319485-6 1.312534-5 1.438273-6 1.931576-5 1.529570-6 2.560100-5 1.587793-6 3.044788-5 1.626661-6 3.399761-5 1.783976-6 5.292342-5 1.897217-6 7.154288-5 1.956505-6 8.330936-5 2.062284-6 1.083923-4 2.145719-6 1.316997-4 2.212772-6 1.537040-4 2.281922-6 1.798624-4 2.353232-6 2.110437-4 2.426770-6 2.483175-4 2.502607-6 2.930054-4 2.580813-6 3.467468-4 2.661464-6 4.115834-4 2.744634-6 4.900692-4 2.830404-6 5.854126-4 2.918854-6 7.016639-4 3.010068-6 8.439617-4 3.104133-6 1.018860-3 3.201137-6 1.234765-3 3.301173-6 1.502526-3 3.404334-6 1.836143-3 3.508697-6 2.245146-3 3.609798-6 2.724352-3 3.707740-6 3.282723-3 3.802621-6 3.927070-3 3.894537-6 4.667898-3 3.983581-6 5.517977-3 4.153408-6 7.579145-3 4.234362-6 8.806364-3 4.388759-6 1.173349-2 4.462359-6 1.349952-2 4.604957-6 1.768595-2 4.738643-6 2.280589-2 4.863974-6 2.900302-2 4.981472-6 3.643339-2 5.091626-6 4.531225-2 5.194895-6 5.582096-2 5.291710-6 6.805418-2 5.382475-6 8.230087-2 5.469038-6 9.907702-2 5.547339-6 1.175520-1 5.622126-6 1.390155-1 5.692240-6 1.633314-1 5.757971-6 1.907862-1 5.819594-6 2.216523-1 5.882482-6 2.595077-1 5.931526-6 2.945583-1 5.990326-6 3.445120-1 6.029904-6 3.840762-1 6.074531-6 4.358708-1 6.116368-6 4.928286-1 6.155591-6 5.552311-1 6.192363-6 6.234011-1 6.227172-6 6.984438-1 6.259155-6 7.783599-1 6.289454-6 8.658394-1 6.317859-6 9.604671-1 6.344489-6 1.062614+0 6.369454-6 1.172674+0 6.392860-6 1.291057+0 6.414802-6 1.418154+0 6.435373-6 1.554320+0 6.454658-6 1.699867+0 6.476067-6 1.885942+0 6.506638-6 2.208496+0 6.536300-6 2.608528+0 6.562255-6 3.060448+0 6.584965-6 3.571328+0 6.604836-6 4.149199+0 6.622224-6 4.800568+0 6.637438-6 5.527321+0 6.650750-6 6.324701+0 6.662399-6 7.181257+0 6.672591-6 8.080490+0 6.681509-6 9.003297+0 6.689312-6 9.930378+0 6.696141-6 1.084408+1 6.708090-6 1.270153+1 6.749643-6 2.230140+1 6.760536-6 2.573517+1 6.768836-6 2.861260+1 6.777135-6 3.170527+1 6.793735-6 3.845919+1 6.795810-6 3.934833+1 6.810334-6 4.576392+1 6.816040-6 4.834101+1 6.829008-6 5.419019+1 6.838086-6 5.817889+1 6.843533-6 6.048900+1 6.851314-6 6.363603+1 6.860051-6 6.689333+1 6.867349-6 6.933713+1 6.874386-6 7.141409+1 6.885031-6 7.396119+1 6.893331-6 7.539735+1 6.902149-6 7.635518+1 6.909930-6 7.669540+1 6.927048-6 7.576189+1 6.935013-6 7.456286+1 6.943874-6 7.269897+1 6.951906-6 7.056683+1 6.958723-6 6.846139+1 6.962229-6 6.728321+1 6.972090-6 6.366766+1 6.979510-6 6.070065+1 6.987208-6 5.745088+1 6.995653-6 5.374155+1 7.005137-6 4.947107+1 7.009663-6 4.741656+1 7.016452-6 4.433880+1 7.023241-6 4.128854+1 7.031765-6 3.753306+1 7.039985-6 3.402438+1 7.043359-6 3.262341+1 7.051024-6 2.953791+1 7.059324-6 2.636607+1 7.066586-6 2.374796+1 7.075923-6 2.061125+1 7.080452-6 1.918593+1 7.085418-6 1.769639+1 7.090566-6 1.623367+1 7.094773-6 1.509949+1 7.101085-6 1.350122+1 7.107397-6 1.202485+1 7.124228-6 8.660698+0 7.126332-6 8.296134+0 7.141059-6 6.065637+0 7.146845-6 5.333569+0 7.152367-6 4.704464+0 7.157890-6 4.139378+0 7.166306-6 3.392314+0 7.189568-6 1.936085+0 7.194065-6 1.740713+0 7.198526-6 1.569863+0 7.202953-6 1.421241+0 7.207345-6 1.292713+0 7.211702-6 1.182296+0 7.216026-6 1.088152+0 7.220316-6 1.008584+0 7.224572-6 9.420252-1 7.228795-6 8.870334-1 7.232985-6 8.422835-1 7.237142-6 8.065605-1 7.241267-6 7.787524-1 7.245360-6 7.578431-1 7.253449-6 7.330999-1 7.261413-6 7.258892-1 7.269253-6 7.309276-1 7.280784-6 7.523152-1 7.292047-6 7.808437-1 7.306658-6 8.173804-1 7.321673-6 8.439524-1 7.339968-6 8.519575-1 7.359587-6 8.274469-1 7.372161-6 7.954106-1 7.384441-6 7.542931-1 7.396338-6 7.075649-1 7.419026-6 6.078534-1 7.429842-6 5.586773-1 7.450797-6 4.658132-1 7.470442-6 3.854968-1 7.488860-6 3.181854-1 7.523392-6 2.142581-1 7.553608-6 1.456856-1 7.606487-6 6.809764-2 7.679661-6 3.361879-2 7.727973-6 5.290850-2 7.769816-6 9.784593-2 7.788940-6 1.278067-1 7.803347-6 1.545500-1 7.808065-6 1.641166-1 7.822460-6 1.958672-1 7.827189-6 2.071616-1 7.841573-6 2.442461-1 7.846314-6 2.573966-1 7.863988-6 3.106819-1 7.903687-6 4.571874-1 7.922811-6 5.427364-1 7.941936-6 6.394264-1 7.961060-6 7.485119-1 7.980184-6 8.714398-1 7.999481-6 1.011198+0 8.018838-6 1.169224+0 8.038194-6 1.347420+0 8.073673-6 1.735772+0 8.173687-6 3.474275+0 8.193043-6 3.978673+0 8.212400-6 4.564890+0 8.231756-6 5.251428+0 8.251112-6 6.063116+0 8.280056-6 7.588245+0 8.305381-6 9.355541+0 8.327541-6 1.138863+1 8.346931-6 1.369769+1 8.363897-6 1.627167+1 8.378742-6 1.907662+1 8.391732-6 2.205994+1 8.403098-6 2.515787+1 8.413043-6 2.830356+1 8.429360-6 3.449337+1 8.480552-6 6.483738+1 8.489886-6 7.255083+1 8.503588-6 8.524547+1 8.519247-6 1.017818+2 8.529687-6 1.139836+2 8.541431-6 1.287663+2 8.545346-6 1.339237+2 8.566225-6 1.630521+2 8.576881-6 1.787035+2 8.587104-6 1.939735+2 8.598104-6 2.104334+2 8.603354-6 2.182185+2 8.611228-6 2.297135+2 8.622933-6 2.461629+2 8.629635-6 2.551050+2 8.638432-6 2.661595+2 8.646914-6 2.759423+2 8.660181-6 2.891744+2 8.670621-6 2.975310+2 8.682365-6 3.044907+2 8.692805-6 3.083317+2 8.703815-6 3.098689+2 8.714296-6 3.088836+2 8.718740-6 3.077449+2 8.729175-6 3.034142+2 8.739598-6 2.968480+2 8.742540-6 2.946076+2 8.764830-6 2.726580+2 8.775522-6 2.594367+2 8.789542-6 2.400887+2 8.795368-6 2.315257+2 8.805279-6 2.164535+2 8.812867-6 2.046149+2 8.819063-6 1.948383+2 8.827197-6 1.819596+2 8.837654-6 1.655021+2 8.848093-6 1.493996+2 8.858533-6 1.338278+2 8.873850-6 1.122894+2 8.882467-6 1.009949+2 8.890775-6 9.072814+1 8.900606-6 7.941784+1 8.914655-6 6.488834+1 8.935766-6 4.669417+1 8.938405-6 4.471985+1 8.956877-6 3.265871+1 8.960382-6 3.070121+1 8.984916-6 1.962618+1 9.010246-6 1.224337+1 9.019796-6 1.029885+1 9.025123-6 9.378628+0 9.029119-6 8.758579+0 9.035112-6 7.932352+0 9.041105-6 7.220317+0 9.046433-6 6.674423+0 9.056422-6 5.846785+0 9.062415-6 5.459132+0 9.081061-6 4.690489+0 9.085516-6 4.592933+0 9.088971-6 4.538100+0 9.113071-6 4.638243+0 9.124244-6 4.974647+0 9.129576-6 5.205120+0 9.133576-6 5.409518+0 9.136575-6 5.581312+0 9.143324-6 6.028699+0 9.148342-6 6.418988+0 9.151718-6 6.710727+0 9.157626-6 7.280670+0 9.172884-6 9.132123+0 9.208220-6 1.585796+1 9.213145-6 1.709173+1 9.237064-6 2.413135+1 9.245769-6 2.710086+1 9.259689-6 3.223855+1 9.269514-6 3.610339+1 9.274203-6 3.800175+1 9.281236-6 4.089749+1 9.288270-6 4.383144+1 9.293698-6 4.610655+1 9.302602-6 4.982717+1 9.309874-6 5.282228+1 9.319419-6 5.663973+1 9.328622-6 6.013859+1 9.332382-6 6.150192+1 9.340938-6 6.443223+1 9.350187-6 6.728725+1 9.362206-6 7.042814+1 9.371485-6 7.235571+1 9.377456-6 7.334817+1 9.388693-6 7.466306+1 9.398369-6 7.520172+1 9.408545-6 7.517474+1 9.421219-6 7.431825+1 9.430104-6 7.320876+1 9.437025-6 7.207954+1 9.448949-6 6.965444+1 9.459338-6 6.712880+1 9.470015-6 6.423184+1 9.481019-6 6.103420+1 9.497484-6 5.609210+1 9.532556-6 4.638523+1 9.547365-6 4.311948+1 9.556102-6 4.150768+1 9.559204-6 4.099549+1 9.574815-6 3.891383+1 9.582447-6 3.819976+1 9.592582-6 3.755557+1 9.600283-6 3.729048+1 9.608252-6 3.721044+1 9.613991-6 3.726876+1 9.621723-6 3.749105+1 9.632103-6 3.802698+1 9.643077-6 3.885355+1 9.657113-6 4.023032+1 9.672620-6 4.206154+1 9.709897-6 4.707047+1 9.723885-6 4.893960+1 9.743615-6 5.138957+1 9.755019-6 5.266703+1 9.768784-6 5.405090+1 9.786073-6 5.553379+1 9.805583-6 5.688123+1 9.821453-6 5.775725+1 9.841599-6 5.865384+1 9.934007-6 6.203422+1 9.967465-6 6.365717+1 1.003302-5 6.786792+1 1.007072-5 7.098899+1 1.009514-5 7.335336+1 1.011771-5 7.582138+1 1.015142-5 8.006409+1 1.020856-5 8.864519+1 1.028330-5 1.011474+2 1.030390-5 1.050692+2 1.031883-5 1.084083+2 1.032757-5 1.106786+2 1.034113-5 1.148627+2 1.034981-5 1.180953+2 1.036324-5 1.241986+2 1.038062-5 1.346832+2 1.039083-5 1.425530+2 1.040092-5 1.517981+2 1.041416-5 1.664894+2 1.042584-5 1.821531+2 1.043965-5 2.042910+2 1.045446-5 2.327234+2 1.049828-5 3.464067+2 1.050715-5 3.744890+2 1.052743-5 4.437356+2 1.053787-5 4.815165+2 1.055129-5 5.313345+2 1.056064-5 5.663302+2 1.057064-5 6.035727+2 1.057829-5 6.316473+2 1.058923-5 6.706222+2 1.060132-5 7.113984+2 1.061604-5 7.565781+2 1.062827-5 7.894413+2 1.064286-5 8.219836+2 1.065484-5 8.426242+2 1.066250-5 8.527367+2 1.067298-5 8.625034+2 1.068277-5 8.672951+2 1.069342-5 8.677322+2 1.070614-5 8.618339+2 1.071457-5 8.541982+2 1.073225-5 8.291589+2 1.074046-5 8.137230+2 1.075000-5 7.930722+2 1.075931-5 7.703932+2 1.077051-5 7.402982+2 1.077965-5 7.137961+2 1.079165-5 6.769538+2 1.080322-5 6.398269+2 1.081981-5 5.850790+2 1.083255-5 5.427933+2 1.084865-5 4.901438+2 1.085802-5 4.603872+2 1.088294-5 3.858837+2 1.091185-5 3.104559+2 1.095684-5 2.200786+2 1.097507-5 1.925318+2 1.098720-5 1.768228+2 1.099931-5 1.630555+2 1.101139-5 1.510564+2 1.102346-5 1.406503+2 1.103549-5 1.316648+2 1.105000-5 1.224713+2 1.107149-5 1.116180+2 1.109538-5 1.026181+2 1.111917-5 9.604428+1 1.114287-5 9.121103+1 1.116648-5 8.761208+1 1.119000-5 8.488575+1 1.121342-5 8.277999+1 1.123675-5 8.112187+1 1.125999-5 7.979323+1 1.130630-5 7.782044+1 1.135224-5 7.646250+1 1.140000-5 7.546493+1 1.144304-5 7.481854+1 1.153244-5 7.399522+1 1.162044-5 7.363454+1 1.176303-5 7.356110+1 1.202094-5 7.417005+1 1.261723-5 7.605502+1 1.288917-5 7.659437+1 1.326287-5 7.687702+1 1.343570-5 7.680019+1 1.373699-5 7.634441+1 1.400539-5 7.574593+1 1.434215-5 7.469427+1 1.467947-5 7.328545+1 1.490454-5 7.217573+1 1.523255-5 7.037346+1 1.560519-5 6.813812+1 1.607252-5 6.518212+1 1.647535-5 6.255386+1 1.684652-5 6.011043+1 1.759494-5 5.530104+1 1.847445-5 5.004579+1 2.157403-5 3.588545+1 2.291371-5 3.171376+1 2.420000-5 2.849924+1 2.545715-5 2.595974+1 2.664916-5 2.398948+1 2.814339-5 2.199758+1 2.948125-5 2.056397+1 3.052574-5 1.962479+1 3.177125-5 1.867898+1 3.300000-5 1.789765+1 3.420000-5 1.725369+1 3.589219-5 1.652074+1 3.690000-5 1.615664+1 3.845918-5 1.568811+1 4.120975-5 1.508995+1 4.365158-5 1.471593+1 4.613203-5 1.447722+1 4.806410-5 1.434175+1 5.011872-5 1.425745+1 5.248075-5 1.420601+1 5.754399-5 1.418883+1 6.614101-5 1.422566+1 6.918310-5 1.421417+1 7.500000-5 1.413034+1 7.943282-5 1.397862+1 8.429205-5 1.371097+1 8.938760-5 1.333482+1 9.453944-5 1.284460+1 9.885531-5 1.235203+1 1.029928-4 1.179760+1 1.074608-4 1.111552+1 1.104681-4 1.061271+1 1.142282-4 9.928511+0 1.179981-4 9.176310+0 1.210348-4 8.529726+0 1.232040-4 8.045895+0 1.257925-4 7.442405+0 1.282870-4 6.834624+0 1.310720-4 6.131342+0 1.338273-4 5.416170+0 1.359684-4 4.846685+0 1.377543-4 4.366080+0 1.395217-4 3.888467+0 1.409984-4 3.489625+0 1.439416-4 2.702843+0 1.448906-4 2.455415+0 1.465169-4 2.046172+0 1.475069-4 1.808411+0 1.487703-4 1.521028+0 1.497961-4 1.304152+0 1.507420-4 1.120661+0 1.524672-4 8.391204-1 1.535519-4 7.070280-1 1.539768-4 6.667480-1 1.550855-4 5.974517-1 1.552977-4 5.908172-1 1.559716-4 5.860374-1 1.564535-4 5.995079-1 1.572680-4 6.597970-1 1.574648-4 6.823492-1 1.576551-4 7.074198-1 1.583497-4 8.286738-1 1.587208-4 9.146881-1 1.595280-4 1.161490+0 1.598983-4 1.306066+0 1.608336-4 1.778562+0 1.611012-4 1.947098+0 1.619308-4 2.588366+0 1.625841-4 3.250863+0 1.631660-4 3.993510+0 1.640355-4 5.458471+0 1.649154-4 7.531055+0 1.670753-4 1.668982+1 1.679223-4 2.261627+1 1.685622-4 2.824009+1 1.689801-4 3.248904+1 1.695236-4 3.869770+1 1.698801-4 4.316819+1 1.703313-4 4.922940+1 1.706312-4 5.346849+1 1.710477-4 5.956150+1 1.714228-4 6.517731+1 1.716550-4 6.867546+1 1.719080-4 7.247602+1 1.722860-4 7.807182+1 1.725674-4 8.212425+1 1.729319-4 8.716279+1 1.732300-4 9.105986+1 1.735000-4 9.438328+1 1.737984-4 9.780176+1 1.741000-4 1.009612+2 1.744500-4 1.042356+2 1.748094-4 1.071467+2 1.752000-4 1.097955+2 1.755980-4 1.119625+2 1.760313-4 1.137579+2 1.764933-4 1.151008+2 1.769500-4 1.159412+2 1.777416-4 1.165417+2 1.786243-4 1.164216+2 1.820750-4 1.145921+2 1.851100-4 1.140178+2 1.903793-4 1.140377+2 1.953675-4 1.148185+2 2.007014-4 1.159384+2 2.032342-4 1.159729+2 2.059660-4 1.154419+2 2.081516-4 1.145975+2 2.089112-4 1.144893+2 2.095677-4 1.147661+2 2.100795-4 1.154015+2 2.106418-4 1.167180+2 2.114492-4 1.201082+2 2.120188-4 1.237395+2 2.126196-4 1.286753+2 2.142655-4 1.454593+2 2.146255-4 1.489447+2 2.151490-4 1.532825+2 2.157614-4 1.567851+2 2.162796-4 1.581364+2 2.167655-4 1.579894+2 2.170974-4 1.571433+2 2.176027-4 1.548533+2 2.182018-4 1.509679+2 2.199571-4 1.379305+2 2.207473-4 1.336864+2 2.213441-4 1.316472+2 2.219051-4 1.306383+2 2.224679-4 1.304036+2 2.229290-4 1.306821+2 2.235292-4 1.315090+2 2.252357-4 1.351064+2 2.267342-4 1.380346+2 2.286548-4 1.405203+2 2.318572-4 1.427303+2 2.405423-4 1.462176+2 2.786537-4 1.592152+2 3.005300-4 1.649978+2 3.144808-4 1.676001+2 3.376599-4 1.700137+2 3.628389-4 1.712069+2 3.958221-4 1.717035+2 4.217245-4 1.714781+2 4.702662-4 1.698450+2 6.019548-4 1.643141+2 7.033760-4 1.598877+2 7.597638-4 1.571254+2 1.019618-3 1.448899+2 1.209695-3 1.359762+2 1.263794-3 1.336582+2 1.418840-3 1.265805+2 1.537919-3 1.214200+2 1.665411-3 1.154729+2 1.735660-3 1.121601+2 1.798235-3 1.091501+2 1.875179-3 1.054104+2 1.936826-3 1.023283+2 1.988941-3 9.953263+1 2.041750-3 9.657337+1 2.088592-3 9.381431+1 2.128881-3 9.130527+1 2.169977-3 8.854908+1 2.204063-3 8.603705+1 2.231628-3 8.382624+1 2.258135-3 8.151274+1 2.282974-3 7.912828+1 2.301477-3 7.716827+1 2.320137-3 7.497851+1 2.336555-3 7.281536+1 2.352387-3 7.043689+1 2.366023-3 6.805850+1 2.377671-3 6.568944+1 2.386929-3 6.353118+1 2.395471-3 6.131189+1 2.407364-3 5.794381+1 2.423620-3 5.345991+1 2.429178-3 5.221367+1 2.434915-3 5.121293+1 2.440807-3 5.056569+1 2.446698-3 5.036561+1 2.450663-3 5.050068+1 2.456132-3 5.104677+1 2.459413-3 5.156827+1 2.462710-3 5.222940+1 2.468708-3 5.374754+1 2.477534-3 5.656174+1 2.496537-3 6.362285+1 2.504431-3 6.647229+1 2.511685-3 6.889524+1 2.521701-3 7.187125+1 2.527084-3 7.329128+1 2.537178-3 7.564605+1 2.546792-3 7.757013+1 2.556676-3 7.929016+1 2.573346-3 8.174880+1 2.585077-3 8.323211+1 2.604525-3 8.536158+1 2.619871-3 8.680764+1 2.636417-3 8.817296+1 2.670000-3 9.044880+1 2.696253-3 9.188593+1 2.740445-3 9.380927+1 2.790626-3 9.541726+1 2.866038-3 9.703925+1 2.957662-3 9.810346+1 3.058483-3 9.849943+1 3.202624-3 9.820176+1 3.370475-3 9.708392+1 3.589219-3 9.490368+1 3.800398-3 9.243992+1 4.077765-3 8.900972+1 4.432816-3 8.452927+1 4.900842-3 7.885168+1 5.409099-3 7.325051+1 6.162477-3 6.595270+1 6.839969-3 6.025696+1 7.636531-3 5.442889+1 8.202897-3 5.071598+1 9.106993-3 4.541381+1 9.780549-3 4.190712+1 1.050539-2 3.850594+1 1.142061-2 3.469594+1 1.265673-2 3.029833+1 1.392951-2 2.652410+1 1.542985-2 2.288146+1 1.757923-2 1.883700+1 2.162329-2 1.370958+1 2.763519-2 9.329083+0 3.491300-2 6.419435+0 4.067086-2 5.000193+0 4.864130-2 3.701036+0 5.605000-2 2.898034+0 6.550243-2 2.196522+0 7.871936-2 1.572709+0 1.047129-1 9.275802-1 1.308217-1 6.094843-1 1.739155-1 3.533580-1 2.333920-1 1.996368-1 3.282843-1 1.021399-1 5.354883-1 3.871469-2 1.347258+0 6.143883-3 4.068655+0 6.741849-4 1.228714+1 7.392920-5 3.710658+1 8.106251-6 1.120601+2 8.888336-7 3.384160+2 9.745868-8 1.258925+3 7.042427-9 3.981072+3 7.04243-10 1.258925+4 7.04243-11 3.981072+4 7.04243-12 1.000000+5 1.11615-12 1 16000 7 7 3.206400+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 6.241500-7 1.258900-6 9.892100-7 1.584900-6 1.567800-6 1.995300-6 2.484800-6 2.511900-6 3.938100-6 3.162300-6 6.241400-6 3.981100-6 9.892000-6 5.011900-6 1.567800-5 6.309600-6 2.484700-5 7.943300-6 3.938000-5 1.000000-5 6.241200-5 1.258900-5 9.891500-5 1.584900-5 1.567700-4 1.995300-5 2.484500-4 2.511900-5 3.937600-4 3.162300-5 6.240500-4 3.981100-5 9.890000-4 5.011900-5 1.567400-3 6.309600-5 2.483900-3 7.943300-5 3.934300-3 1.000000-4 6.230400-3 1.258900-4 9.867400-3 1.584900-4 1.561300-2 1.995300-4 2.469200-2 2.511900-4 3.899600-2 3.162300-4 6.146700-2 3.981100-4 9.653500-2 5.011900-4 1.508200-1 6.309600-4 2.337000-1 7.943300-4 3.580100-1 1.000000-3 5.389500-1 1.258900-3 7.925100-1 1.584900-3 1.130000+0 1.995300-3 1.552300+0 2.511900-3 2.051000+0 3.162300-3 2.606600+0 3.981100-3 3.192100+0 5.011900-3 3.780800+0 6.309600-3 4.374000+0 7.943300-3 4.983900+0 1.000000-2 5.619500+0 1.258900-2 6.257900+0 1.584900-2 6.847000+0 1.995300-2 7.335500+0 2.511900-2 7.680700+0 3.162300-2 7.951800+0 3.981100-2 8.093500+0 5.011900-2 8.127500+0 6.309600-2 8.045400+0 7.943300-2 7.870800+0 1.000000-1 7.597400+0 1.258900-1 7.254500+0 1.584900-1 6.858000+0 1.995300-1 6.424300+0 2.511900-1 5.970500+0 3.162300-1 5.509800+0 3.981100-1 5.052700+0 5.011900-1 4.606500+0 6.309600-1 4.174800+0 7.943300-1 3.764600+0 1.000000+0 3.374500+0 1.258900+0 3.006700+0 1.584900+0 2.662600+0 1.995300+0 2.343200+0 2.511900+0 2.049300+0 3.162300+0 1.781400+0 3.981100+0 1.539500+0 5.011900+0 1.323100+0 6.309600+0 1.131300+0 7.943300+0 9.626100-1 1.000000+1 8.154900-1 1.258900+1 6.880900-1 1.584900+1 5.784700-1 1.995300+1 4.847100-1 2.511900+1 4.049300-1 3.162300+1 3.373800-1 3.981100+1 2.804000-1 5.011900+1 2.325400-1 6.309600+1 1.924500-1 7.943300+1 1.589900-1 1.000000+2 1.311300-1 1.258900+2 1.079900-1 1.584900+2 8.880700-2 1.995300+2 7.294000-2 2.511900+2 5.983800-2 3.162300+2 4.903600-2 3.981100+2 4.014400-2 5.011900+2 3.283300-2 6.309600+2 2.683000-2 7.943300+2 2.190700-2 1.000000+3 1.787400-2 1.258900+3 1.457200-2 1.584900+3 1.187200-2 1.995300+3 9.666700-3 2.511900+3 7.865900-3 3.162300+3 6.396900-3 3.981100+3 5.199400-3 5.011900+3 4.223800-3 6.309600+3 3.429600-3 7.943300+3 2.783400-3 1.000000+4 2.257900-3 1.258900+4 1.830800-3 1.584900+4 1.483900-3 1.995300+4 1.202200-3 2.511900+4 9.736600-4 3.162300+4 7.882500-4 3.981100+4 6.379100-4 5.011900+4 5.160700-4 6.309600+4 4.173700-4 7.943300+4 3.374300-4 1.000000+5 2.727200-4 1 16000 7 7 3.206400+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159545-4 3.981072-4 3.976748-4 5.011872-4 5.005033-4 6.309573-4 6.298770-4 7.943282-4 7.926239-4 1.000000-3 9.973177-4 1.258925-3 1.254708-3 1.584893-3 1.578311-3 1.995262-3 1.985014-3 2.511886-3 2.495985-3 3.162278-3 3.137680-3 3.981072-3 3.943110-3 5.011872-3 4.953288-3 6.309573-3 6.219198-3 7.943282-3 7.803154-3 1.000000-2 9.782083-3 1.258925-2 1.225068-2 1.584893-2 1.532545-2 1.995262-2 1.914864-2 2.511886-2 2.389052-2 3.162278-2 2.975323-2 3.981072-2 3.697208-2 5.011872-2 4.582955-2 6.309573-2 5.666237-2 7.943282-2 6.982842-2 1.000000-1 8.580455-2 1.258925-1 1.050781-1 1.584893-1 1.282199-1 1.995262-1 1.559252-1 2.511886-1 1.889420-1 3.162278-1 2.281650-1 3.981072-1 2.746108-1 5.011872-1 3.294427-1 6.309573-1 3.941013-1 7.943282-1 4.700907-1 1.000000+0 5.595475-1 1.258925+0 6.649184-1 1.584893+0 7.892651-1 1.995262+0 9.363558-1 2.511886+0 1.110869+0 3.162278+0 1.318577+0 3.981072+0 1.566480+0 5.011872+0 1.863235+0 6.309573+0 2.219387+0 7.943282+0 2.647858+0 1.000000+1 3.164421+0 1.258925+1 3.788407+0 1.584893+1 4.543565+0 1.995262+1 5.458709+0 2.511886+1 6.569435+0 3.162278+1 7.919372+0 3.981072+1 9.561794+0 5.011872+1 1.156258+1 6.309573+1 1.400220+1 7.943282+1 1.697979+1 1.000000+2 2.061714+1 1.258925+2 2.506441+1 1.584893+2 3.050604+1 1.995262+2 3.716922+1 2.511886+2 4.533436+1 3.162278+2 5.534692+1 3.981072+2 6.763135+1 5.011872+2 8.271440+1 6.309573+2 1.012434+2 7.943282+2 1.240201+2 1.000000+3 1.520286+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 16000 7 9 3.206400+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090663-8 7.943282-5 1.728229-8 1.000000-4 2.738640-8 1.258925-4 4.340033-8 1.584893-4 6.875961-8 1.995262-4 1.089395-7 2.511886-4 1.725559-7 3.162278-4 2.732227-7 3.981072-4 4.324166-7 5.011872-4 6.839132-7 6.309573-4 1.080328-6 7.943282-4 1.704290-6 1.000000-3 2.682328-6 1.258925-3 4.217756-6 1.584893-3 6.582222-6 1.995262-3 1.024880-5 2.511886-3 1.590109-5 3.162278-3 2.459763-5 3.981072-3 3.796202-5 5.011872-3 5.858393-5 6.309573-3 9.037517-5 7.943282-3 1.401287-4 1.000000-2 2.179175-4 1.258925-2 3.385782-4 1.584893-2 5.234808-4 1.995262-2 8.039858-4 2.511886-2 1.228348-3 3.162278-2 1.869544-3 3.981072-2 2.838639-3 5.011872-2 4.289178-3 6.309573-2 6.433367-3 7.943282-2 9.604406-3 1.000000-1 1.419545-2 1.258925-1 2.081449-2 1.584893-1 3.026938-2 1.995262-1 4.360102-2 2.511886-1 6.224663-2 3.162278-1 8.806280-2 3.981072-1 1.234964-1 5.011872-1 1.717445-1 6.309573-1 2.368560-1 7.943282-1 3.242376-1 1.000000+0 4.404525-1 1.258925+0 5.940070-1 1.584893+0 7.956281-1 1.995262+0 1.058906+0 2.511886+0 1.401018+0 3.162278+0 1.843701+0 3.981072+0 2.414592+0 5.011872+0 3.148637+0 6.309573+0 4.090186+0 7.943282+0 5.295424+0 1.000000+1 6.835579+0 1.258925+1 8.800847+0 1.584893+1 1.130537+1 1.995262+1 1.449391+1 2.511886+1 1.854943+1 3.162278+1 2.370340+1 3.981072+1 3.024892+1 5.011872+1 3.855614+1 6.309573+1 4.909354+1 7.943282+1 6.245304+1 1.000000+2 7.938286+1 1.258925+2 1.008281+2 1.584893+2 1.279833+2 1.995262+2 1.623570+2 2.511886+2 2.058543+2 3.162278+2 2.608808+2 3.981072+2 3.304758+2 5.011872+2 4.184728+2 6.309573+2 5.297140+2 7.943282+2 6.703081+2 1.000000+3 8.479714+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 1.025000-5 3.854138+7 1.034000-5 3.869034+7 1.034000-5 5.781136+7 1.050000-5 5.821186+7 1.060000-5 5.837111+7 1.075000-5 5.854276+7 1.085000-5 5.855568+7 1.105000-5 5.849642+7 1.109175-5 5.844017+7 1.135011-5 5.797429+7 1.140000-5 5.783696+7 1.161449-5 5.713958+7 1.170000-5 5.678470+7 1.190700-5 5.584559+7 1.200000-5 5.534719+7 1.220000-5 5.422171+7 1.222000-5 5.409416+7 1.245000-5 5.258000+7 1.273503-5 5.046489+7 1.303167-5 4.805200+7 1.333521-5 4.541988+7 1.335000-5 4.528637+7 1.364583-5 4.262425+7 1.396368-5 3.971028+7 1.428894-5 3.673289+7 1.462177-5 3.374631+7 1.500000-5 3.048106+7 1.531087-5 2.793248+7 1.570000-5 2.494309+7 1.611900-5 2.199586+7 1.659587-5 1.899190+7 1.710000-5 1.621208+7 1.757924-5 1.392236+7 1.819701-5 1.142681+7 1.883649-5 9.312438+6 1.950000-5 7.539160+6 2.040000-5 5.680706+6 2.095000-5 4.787272+6 2.095000-5 4.825723+6 2.101000-5 4.740274+6 2.113489-5 4.568113+6 2.127000-5 4.390445+6 2.137962-5 4.252516+6 2.142000-5 4.202782+6 2.150000-5 4.106255+6 2.160000-5 3.988487+6 2.177000-5 3.797724+6 2.200000-5 3.557464+6 2.220000-5 3.363972+6 2.242000-5 3.166326+6 2.265000-5 2.975377+6 2.290868-5 2.778120+6 2.317395-5 2.593299+6 2.350000-5 2.387916+6 2.385000-5 2.191243+6 2.400000-5 2.113657+6 2.420000-5 2.017846+6 2.426610-5 1.987421+6 2.460000-5 1.845049+6 2.483133-5 1.754814+6 2.500000-5 1.694741+6 2.511886-5 1.654067+6 2.540973-5 1.562087+6 2.560000-5 1.506016+6 2.580000-5 1.452209+6 2.610000-5 1.378117+6 2.630268-5 1.333355+6 2.650000-5 1.291915+6 2.670000-5 1.253216+6 2.710000-5 1.184714+6 2.730000-5 1.154165+6 2.770000-5 1.100233+6 2.786121-5 1.080740+6 2.818383-5 1.045652+6 2.830000-5 1.034135+6 2.851018-5 1.015396+6 2.870000-5 9.988488+5 2.920000-5 9.634174+5 2.965000-5 9.379349+5 3.000000-5 9.224447+5 3.040000-5 9.077706+5 3.090295-5 8.947563+5 3.135000-5 8.864622+5 3.190000-5 8.811440+5 3.245000-5 8.790522+5 3.300000-5 8.808160+5 3.350000-5 8.841398+5 3.400000-5 8.901182+5 3.420000-5 8.921405+5 3.500000-5 9.044498+5 3.507519-5 9.059525+5 3.589219-5 9.206078+5 3.650000-5 9.337510+5 3.690000-5 9.415673+5 3.801894-5 9.667778+5 3.845918-5 9.762357+5 3.950000-5 9.998066+5 4.000000-5 1.010303+6 4.120975-5 1.035911+6 4.315191-5 1.073900+6 4.365158-5 1.082382+6 4.518559-5 1.107506+6 4.570882-5 1.114683+6 4.731513-5 1.135579+6 4.800000-5 1.142534+6 4.954502-5 1.157031+6 5.000000-5 1.160553+6 5.011872-5 1.161332+6 5.188000-5 1.171529+6 5.248075-5 1.174045+6 5.432503-5 1.178411+6 5.495409-5 1.178949+6 5.559043-5 1.179021+6 5.688529-5 1.177986+6 5.754399-5 1.176527+6 5.900000-5 1.172393+6 5.956621-5 1.170384+6 6.025596-5 1.167040+6 6.237348-5 1.155757+6 6.309573-5 1.150663+6 6.531306-5 1.134268+6 6.606934-5 1.128047+6 6.650000-5 1.124325+6 6.839116-5 1.107343+6 6.918310-5 1.099677+6 7.079458-5 1.083722+6 7.161434-5 1.075447+6 7.300000-5 1.060678+6 7.500000-5 1.039327+6 7.585776-5 1.029816+6 7.673615-5 1.019932+6 7.943282-5 9.898705+5 8.128305-5 9.690034+5 8.222426-5 9.584334+5 8.413951-5 9.370489+5 8.609938-5 9.149829+5 9.015711-5 8.713943+5 9.120108-5 8.601040+5 9.549926-5 8.154922+5 9.800000-5 7.905697+5 1.000000-4 7.712513+5 1.023293-4 7.494627+5 1.047129-4 7.275834+5 1.096478-4 6.850299+5 1.122018-4 6.640082+5 1.135011-4 6.536015+5 1.190000-4 6.118416+5 1.224700-4 5.870487+5 1.258925-4 5.638913+5 1.273503-4 5.543675+5 1.318257-4 5.259993+5 1.380384-4 4.899132+5 1.412538-4 4.723007+5 1.428894-4 4.636254+5 1.500000-4 4.282993+5 1.548817-4 4.059763+5 1.580000-4 3.925292+5 1.621810-4 3.753799+5 1.678804-4 3.534269+5 1.714000-4 3.407425+5 1.714000-4 1.532991+6 1.715100-4 1.585626+6 1.717000-4 1.688447+6 1.719000-4 1.800419+6 1.722000-4 1.972367+6 1.725000-4 2.148177+6 1.727000-4 2.266422+6 1.727300-4 2.283330+6 1.727300-4 2.871880+6 1.730000-4 3.100571+6 1.731000-4 3.185213+6 1.732300-4 3.297111+6 1.733200-4 3.372466+6 1.735000-4 3.525933+6 1.735500-4 3.566956+6 1.737801-4 3.758452+6 1.740000-4 3.932328+6 1.741000-4 4.012069+6 1.742800-4 4.148465+6 1.743500-4 4.201339+6 1.745000-4 4.274842+6 1.747700-4 4.404862+6 1.750000-4 4.513746+6 1.751500-4 4.583445+6 1.752000-4 4.603256+6 1.753000-4 4.641276+6 1.753500-4 4.657629+6 1.755000-4 4.686918+6 1.759000-4 4.788528+6 1.763500-4 4.852444+6 1.769500-4 4.909119+6 1.775000-4 4.940379+6 1.777000-4 4.962640+6 1.778279-4 4.967334+6 1.780000-4 4.973651+6 1.800000-4 5.001940+6 1.810000-4 5.016079+6 1.815000-4 5.013759+6 1.838000-4 4.976159+6 1.862087-4 4.927924+6 1.883649-4 4.853433+6 2.000000-4 4.468669+6 2.080000-4 4.164610+6 2.113489-4 4.043129+6 2.162719-4 3.874193+6 2.213095-4 3.706696+6 2.238721-4 3.625665+6 2.259700-4 3.561268+6 2.259700-4 3.929078+6 2.260000-4 3.928153+6 2.330000-4 3.728005+6 2.344229-4 3.688131+6 2.350000-4 3.664230+6 2.371374-4 3.607909+6 2.385000-4 3.572733+6 2.426610-4 3.467995+6 2.483133-4 3.330839+6 2.511886-4 3.262546+6 2.600160-4 3.064971+6 2.660725-4 2.940264+6 2.691535-4 2.879421+6 2.730000-4 2.805422+6 2.786121-4 2.702682+6 2.818383-4 2.644564+6 2.851018-4 2.587272+6 2.884032-4 2.531251+6 2.951209-4 2.420943+6 2.985383-4 2.365691+6 3.000000-4 2.342427+6 3.054921-4 2.258020+6 3.090295-4 2.204652+6 3.126079-4 2.152556+6 3.235937-4 1.998863+6 3.349654-4 1.854667+6 3.350000-4 1.854252+6 3.430000-4 1.759981+6 3.507519-4 1.674724+6 3.630781-4 1.550272+6 3.758374-4 1.434380+6 3.801894-4 1.397744+6 3.890451-4 1.326403+6 3.935501-4 1.291928+6 4.000000-4 1.244800+6 4.168694-4 1.131966+6 4.216965-4 1.101893+6 4.365158-4 1.016487+6 4.415704-4 9.892982+5 4.466836-4 9.628541+5 4.570882-4 9.118828+5 4.786301-4 8.168419+5 4.841724-4 7.947150+5 4.897788-4 7.730998+5 5.069907-4 7.113897+5 5.188000-4 6.730850+5 5.248075-4 6.547305+5 5.308844-4 6.367252+5 5.495409-4 5.853886+5 5.623413-4 5.535354+5 5.754399-4 5.232598+5 5.821032-4 5.087641+5 6.095369-4 4.541468+5 6.237348-4 4.289928+5 6.382635-4 4.051384+5 6.531306-4 3.826337+5 6.760830-4 3.509626+5 7.161434-4 3.037022+5 7.244360-4 2.950641+5 7.328245-4 2.866342+5 7.500000-4 2.704060+5 7.585776-4 2.627123+5 8.035261-4 2.268840+5 8.128305-4 2.203443+5 8.317638-4 2.077781+5 8.413951-4 2.017179+5 8.511380-4 1.958380+5 8.609938-4 1.901320+5 9.015711-4 1.688089+5 9.332543-4 1.544446+5 9.440609-4 1.499220+5 9.660509-4 1.412795+5 9.700000-4 1.397886+5 9.772372-4 1.370950+5 1.011579-3 1.252573+5 1.059254-3 1.110920+5 1.096478-3 1.015186+5 1.110000-3 9.830635+4 1.135011-3 9.268548+4 1.148154-3 8.991025+4 1.202264-3 7.963842+4 1.230269-3 7.496324+4 1.258925-3 7.055488+4 1.303167-3 6.434844+4 1.318257-3 6.240702+4 1.364583-3 5.693358+4 1.400000-3 5.319401+4 1.428894-3 5.038655+4 1.450000-3 4.844899+4 1.479108-3 4.592913+4 1.531087-3 4.186671+4 1.566751-3 3.936400+4 1.603245-3 3.701483+4 1.650000-3 3.427558+4 1.659587-3 3.374444+4 1.698244-3 3.170368+4 1.778279-3 2.799496+4 1.798871-3 2.713898+4 1.840772-3 2.550668+4 1.883649-3 2.397128+4 1.927525-3 2.251805+4 1.949845-3 2.182166+4 2.065380-3 1.865808+4 2.113489-3 1.752751+4 2.162719-3 1.646488+4 2.238721-3 1.497906+4 2.371374-3 1.279133+4 2.398833-3 1.239477+4 2.400000-3 1.237828+4 2.455900-3 1.162141+4 2.455900-3 1.138099+5 2.511886-3 1.098391+5 2.513000-3 1.097624+5 2.558000-3 1.061920+5 2.570396-3 1.050668+5 2.600160-3 1.024340+5 2.722701-3 9.111614+4 2.754229-3 8.848839+4 2.786121-3 8.593623+4 2.818383-3 8.345767+4 2.917427-3 7.633012+4 2.951209-3 7.409008+4 3.126079-3 6.383723+4 3.162278-3 6.196413+4 3.235937-3 5.838113+4 3.388442-3 5.182601+4 3.589219-3 4.465028+4 3.672823-3 4.206717+4 3.758374-3 3.963357+4 3.845918-3 3.734096+4 3.890451-3 3.621437+4 3.935501-3 3.512150+4 4.120975-3 3.106676+4 4.300000-3 2.774044+4 4.315191-3 2.748114+4 4.466836-3 2.504320+4 4.518559-3 2.427972+4 4.570882-3 2.353938+4 4.731513-3 2.144930+4 5.011872-3 1.837087+4 5.069907-3 1.779822+4 5.188000-3 1.670589+4 5.248075-3 1.618517+4 5.308844-3 1.568061+4 5.495409-3 1.425820+4 5.888437-3 1.178937+4 6.025596-3 1.106547+4 6.095369-3 1.072035+4 6.165950-3 1.038019+4 6.531306-3 8.833191+3 6.918310-3 7.517066+3 7.161434-3 6.823566+3 7.244360-3 6.604220+3 7.673615-3 5.607894+3 8.128305-3 4.762055+3 8.317638-3 4.460606+3 8.413951-3 4.315293+3 8.511380-3 4.174718+3 8.609938-3 4.038718+3 9.015711-3 3.537132+3 9.660509-3 2.899211+3 9.885531-3 2.713258+3 1.000000-2 2.623673+3 1.011579-2 2.537052+3 1.023293-2 2.453206+3 1.059254-2 2.217928+3 1.148154-2 1.753061+3 1.188502-2 1.584974+3 1.202264-2 1.531959+3 1.216186-2 1.480668+3 1.258925-2 1.336871+3 1.364583-2 1.053363+3 1.428894-2 9.192475+2 1.445440-2 8.884503+2 1.462177-2 8.583383+2 1.513561-2 7.739850+2 1.621810-2 6.293475+2 1.717908-2 5.296952+2 1.757924-2 4.943729+2 1.778279-2 4.774222+2 1.840772-2 4.299757+2 1.949845-2 3.611486+2 2.065380-2 3.033402+2 2.137962-2 2.731741+2 2.162719-2 2.638009+2 2.187762-2 2.546576+2 2.290868-2 2.211445+2 2.344229-2 2.060809+2 2.511886-2 1.667712+2 2.691535-2 1.349384+2 2.786121-2 1.212484+2 2.851018-2 1.129023+2 2.917427-2 1.051304+2 2.951209-2 1.014474+2 3.090295-2 8.796190+1 3.427678-2 6.379945+1 3.507519-2 5.936603+1 3.845918-2 4.450612+1 4.000000-2 3.935689+1 4.415704-2 2.888171+1 4.897788-2 2.082519+1 5.559043-2 1.395994+1 5.754399-2 1.251734+1 5.821032-2 1.207037+1 5.888437-2 1.163936+1 6.531306-2 8.372504+0 6.998420-2 6.720940+0 7.328245-2 5.805168+0 7.413102-2 5.596432+0 7.673615-2 5.014194+0 8.413951-2 3.740885+0 8.511380-2 3.605851+0 8.709636-2 3.350158+0 8.810489-2 3.229195+0 9.015711-2 3.000217+0 9.120108-2 2.891892+0 1.047129-1 1.860110+0 1.083927-1 1.665829+0 1.096478-1 1.605689+0 1.230269-1 1.111654+0 1.273503-1 9.955529-1 1.288250-1 9.598885-1 1.333521-1 8.603853-1 1.412538-1 7.170117-1 1.428894-1 6.913442-1 1.462177-1 6.427329-1 1.479108-1 6.197246-1 1.500000-1 5.928042-1 1.621810-1 4.629615-1 1.678804-1 4.154652-1 1.698244-1 4.007416-1 1.717908-1 3.865505-1 1.819701-1 3.227841-1 1.840772-1 3.113544-1 1.883649-1 2.896951-1 1.927525-1 2.695425-1 1.949845-1 2.599981-1 2.065380-1 2.171137-1 2.089296-1 2.094261-1 2.113489-1 2.021081-1 2.137962-1 1.950458-1 2.187762-1 1.816665-1 2.213095-1 1.753252-1 2.290868-1 1.576005-1 2.344229-1 1.467913-1 2.426610-1 1.319517-1 2.454709-1 1.274160-1 2.483133-1 1.230364-1 2.540973-1 1.147334-1 2.570396-1 1.107945-1 2.600160-1 1.069912-1 2.754229-1 8.984626-2 2.786121-1 8.676223-2 2.851018-1 8.100297-2 2.951209-1 7.308283-2 3.054921-1 6.593807-2 3.090295-1 6.371530-2 3.126079-1 6.156744-2 3.162278-1 5.949195-2 3.235937-1 5.561834-2 3.349654-1 5.028323-2 3.388442-1 4.862136-2 3.427678-1 4.701447-2 3.548134-1 4.250547-2 3.630781-1 3.979621-2 3.672823-1 3.850911-2 3.715352-1 3.726366-2 3.758374-1 3.605847-2 3.801894-1 3.489247-2 3.935501-1 3.161587-2 3.981072-1 3.061594-2 4.027170-1 2.964767-2 4.120975-1 2.780520-2 4.168694-1 2.692737-2 4.315191-1 2.445713-2 4.365158-1 2.368517-2 4.466836-1 2.224856-2 4.518559-1 2.156459-2 4.570882-1 2.090165-2 4.623810-1 2.025910-2 4.677351-1 1.963642-2 4.731513-1 1.903287-2 4.841724-1 1.788089-2 4.954502-1 1.682548-2 5.011872-1 1.632242-2 5.069907-1 1.583441-2 5.128614-1 1.536109-2 5.308844-1 1.402435-2 5.432503-1 1.321966-2 5.477200-1 1.294458-2 5.495409-1 1.283504-2 5.559043-1 1.246220-2 5.821032-1 1.107634-2 5.956621-1 1.046016-2 6.025596-1 1.016505-2 6.095369-1 9.878940-3 6.382635-1 8.813044-3 6.456542-1 8.572485-3 6.531306-1 8.338494-3 6.606935-1 8.110895-3 6.683439-1 7.890044-3 6.918310-1 7.263066-3 6.998420-1 7.072030-3 7.079458-1 6.886023-3 7.161434-1 6.704909-3 7.244360-1 6.529041-3 7.328245-1 6.357788-3 7.585776-1 5.870632-3 7.673615-1 5.721634-3 7.852356-1 5.434891-3 8.035261-1 5.163198-3 8.222427-1 4.905149-3 8.317638-1 4.781005-3 8.413951-1 4.663278-3 8.511380-1 4.548450-3 8.609938-1 4.436448-3 8.709636-1 4.327206-3 8.912509-1 4.117255-3 9.120108-1 3.917493-3 9.440609-1 3.645325-3 9.660509-1 3.474997-3 9.885531-1 3.312631-3 1.011579+0 3.163334-3 1.023293+0 3.091225-3 1.035142+0 3.020899-3 1.047129+0 2.952181-3 1.083927+0 2.755284-3 1.109175+0 2.631368-3 1.135011+0 2.513028-3 1.148154+0 2.457950-3 1.161449+0 2.404234-3 1.174898+0 2.351708-3 1.230269+0 2.152834-3 1.258925+0 2.059798-3 1.273503+0 2.016489-3 1.288250+0 1.974218-3 1.333521+0 1.852691-3 1.364583+0 1.775856-3 1.380384+0 1.738643-3 1.396368+0 1.702210-3 1.412538+0 1.667833-3 1.428894+0 1.634250-3 1.462177+0 1.569119-3 1.531087+0 1.446540-3 1.548817+0 1.418517-3 1.566751+0 1.391120-3 1.584893+0 1.364260-3 1.678804+0 1.237541-3 1.698244+0 1.213646-3 1.717908+0 1.191097-3 1.737801+0 1.169032-3 1.757924+0 1.147383-3 1.883649+0 1.025653-3 1.905461+0 1.006659-3 1.927525+0 9.886854-4 1.949845+0 9.710851-4 1.972423+0 9.538036-4 2.089296+0 8.719013-4 2.137962+0 8.411448-4 2.187762+0 8.124639-4 2.213095+0 7.985309-4 2.238721+0 7.848409-4 2.371374+0 7.198307-4 2.426610+0 6.953607-4 2.483133+0 6.725395-4 2.511886+0 6.614417-4 2.540973+0 6.505298-4 2.722701+0 5.887379-4 2.786121+0 5.694736-4 2.851018+0 5.514702-4 2.884032+0 5.427065-4 2.917427+0 5.340849-4 3.126079+0 4.851558-4 3.198895+0 4.698634-4 3.273407+0 4.555344-4 3.349654+0 4.416780-4 3.388442+0 4.349103-4 3.630781+0 3.964280-4 3.715352+0 3.843730-4 3.801894+0 3.730537-4 3.890451+0 3.620950-4 3.981072+0 3.514608-4 4.265795+0 3.213960-4 4.365158+0 3.119573-4 4.466836+0 3.030718-4 4.623810+0 2.902464-4 4.731513+0 2.820010-4 5.128614+0 2.549438-4 5.248075+0 2.477014-4 5.432503+0 2.375199-4 5.623413+0 2.277796-4 5.754399+0 2.215106-4 6.165950+0 2.037199-4 6.309573+0 1.981132-4 6.531306+0 1.902208-4 6.839116+0 1.802052-4 7.000000+0 1.753513-4 7.852356+0 1.532177-4 8.000000+0 1.499025-4 8.035261+0 1.491526-4 8.128305+0 1.472072-4 8.413951+0 1.415336-4 8.511380+0 1.396917-4 1.023293+1 1.132792-4 1.035142+1 1.118051-4 1.047129+1 1.103879-4 1.348963+1 8.338058-5 1.364583+1 8.232393-5 1.380384+1 8.130596-5 1.883649+1 5.810967-5 1.905461+1 5.739124-5 1.927525+1 5.669667-5 2.722701+1 3.934939-5 2.754229+1 3.887384-5 2.800000+1 3.821400-5 4.415704+1 2.380961-5 4.466836+1 2.353067-5 4.518559+1 2.325501-5 7.852356+1 1.320950-5 7.943282+1 1.305489-5 8.035261+1 1.290209-5 8.128305+1 1.275265-5 1.566751+2 6.564750-6 1.584893+2 6.488749-6 1.603245+2 6.413629-6 1.621810+2 6.339861-6 3.126079+2 3.278879-6 3.162278+2 3.241180-6 3.198895+2 3.203915-6 6.382635+2 1.600847-6 6.456542+2 1.582510-6 2.483133+3 4.111462-7 2.511886+3 4.064378-7 2.540973+3 4.017830-7 8.035261+4 1.268510-8 8.128305+4 1.254035-8 1.000000+5 1.020001-8 1 16000 7 0 3.206400+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 1.025000-5 1.025000-5 1.034000-5 1.025000-5 1.034000-5 1.027977-5 2.095000-5 1.028097-5 2.095000-5 1.036598-5 2.200000-5 1.049378-5 2.290868-5 1.067074-5 2.385000-5 1.093152-5 2.460000-5 1.119921-5 2.560000-5 1.163380-5 2.710000-5 1.240160-5 2.870000-5 1.324328-5 2.965000-5 1.368454-5 3.040000-5 1.398356-5 3.135000-5 1.429222-5 3.190000-5 1.443758-5 3.300000-5 1.465180-5 3.420000-5 1.479224-5 3.507519-5 1.484856-5 3.690000-5 1.487616-5 4.000000-5 1.477860-5 5.011872-5 1.427060-5 5.688529-5 1.402058-5 6.606934-5 1.380705-5 7.673615-5 1.366830-5 9.120108-5 1.358316-5 1.135011-4 1.356470-5 1.500000-4 1.365535-5 1.714000-4 1.373833-5 1.714000-4 2.225807-5 1.719000-4 2.263074-5 1.727000-4 2.306859-5 1.727300-4 2.308113-5 1.727300-4 2.342888-5 1.737801-4 2.374446-5 1.747700-4 2.389770-5 1.769500-4 2.400116-5 1.883649-4 2.407318-5 2.259700-4 2.409956-5 2.259700-4 2.571629-5 3.000000-4 2.639543-5 4.000000-4 2.708772-5 5.495409-4 2.795167-5 7.585776-4 2.894694-5 1.011579-3 2.993695-5 1.318257-3 3.090760-5 1.698244-3 3.185609-5 2.162719-3 3.275749-5 2.455900-3 3.321733-5 2.455900-3 5.070339-5 2.818383-3 5.088340-5 5.069907-3 5.122254-5 1.188502-2 5.146195-5 4.897788-2 5.159459-5 1.000000+5 5.163045-5 1 16000 7 7 3.206400+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.025000-5 0.0 1.714000-4 0.0 1.714000-4 2.169547-8 1.719000-4 2.264349-8 1.722000-4 2.311610-8 1.727000-4 2.375745-8 1.727300-4 2.378936-8 1.727300-4 2.463095-8 1.733200-4 2.513224-8 1.741000-4 2.559114-8 1.745000-4 2.574154-8 1.755000-4 2.595064-8 1.777000-4 2.609858-8 1.862087-4 2.623235-8 2.113489-4 2.628841-8 2.259700-4 2.628505-8 2.259700-4 2.686684-8 3.126079-4 2.711992-8 5.821032-4 2.742125-8 1.258925-3 2.787832-8 2.162719-3 2.825271-8 2.455900-3 2.833727-8 2.455900-3 1.570614-4 2.600160-3 1.579631-4 4.315191-3 1.595680-4 7.244360-3 1.604341-4 1.778279-2 1.609613-4 1.000000+5 1.610383-4 1 16000 7 9 3.206400+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.025000-5 0.0 1.034000-5 9.000000-8 1.034000-5 6.023264-8 2.095000-5 1.066903-5 2.095000-5 1.058402-5 2.200000-5 1.150622-5 2.290868-5 1.223794-5 2.385000-5 1.291848-5 2.483133-5 1.353935-5 2.580000-5 1.406952-5 2.870000-5 1.545672-5 3.000000-5 1.616794-5 3.090295-5 1.674381-5 3.190000-5 1.746242-5 3.300000-5 1.834820-5 3.420000-5 1.940776-5 3.589219-5 2.102025-5 3.845918-5 2.361802-5 5.432503-5 4.022120-5 7.161434-5 5.789131-5 1.135011-4 9.993640-5 1.714000-4 1.576617-4 1.714000-4 1.491202-4 1.727300-4 1.496251-4 1.727300-4 1.492765-4 1.759000-4 1.518995-4 2.259700-4 2.018441-4 2.259700-4 2.002268-4 8.128305-4 7.836291-4 2.455900-3 2.422654-3 2.455900-3 2.248135-3 1.000000+5 1.000000+5 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 2.455900-3 1.021885+5 2.513000-3 9.884916+4 2.558000-3 9.580077+4 2.600160-3 9.250233+4 2.818383-3 7.550840+4 3.845918-3 3.400187+4 4.315191-3 2.506884+4 5.011872-3 1.679391+4 6.095369-3 9.819660+3 7.161434-3 6.258084+3 8.317638-3 4.094913+3 9.885531-3 2.492858+3 1.188502-2 1.457168+3 1.445440-2 8.172214+2 1.757924-2 4.549095+2 2.162719-2 2.428135+2 2.691535-2 1.242306+2 3.427678-2 5.874505+1 4.415704-2 2.659553+1 5.888437-2 1.071831+1 8.413951-2 3.444646+0 1.273503-1 9.165678-1 1.621810-1 4.262065-1 2.089296-1 1.927940-1 2.426610-1 1.214690-1 2.786121-1 7.986786-2 3.162278-1 5.476360-2 3.548134-1 3.912647-2 3.935501-1 2.910227-2 4.365158-1 2.180180-2 4.841724-1 1.645891-2 5.308844-1 1.290888-2 5.821032-1 1.019541-2 6.382635-1 8.112248-3 6.918310-1 6.685770-3 7.585776-1 5.404186-3 8.317638-1 4.401200-3 9.120108-1 3.606309-3 9.885531-1 3.049476-3 1.135011+0 2.313479-3 1.258925+0 1.896237-3 1.396368+0 1.567044-3 1.531087+0 1.331679-3 1.698244+0 1.117284-3 1.905461+0 9.267319-4 2.137962+0 7.743409-4 2.426610+0 6.401365-4 2.786121+0 5.242485-4 3.198895+0 4.325511-4 3.715352+0 3.538502-4 4.365158+0 2.871849-4 5.248075+0 2.280292-4 6.309573+0 1.823797-4 8.000000+0 1.380000-4 1.035142+1 1.029307-4 1.364583+1 7.578949-5 1.905461+1 5.283575-5 2.754229+1 3.578804-5 4.415704+1 2.191969-5 8.035261+1 1.187789-5 1.603245+2 5.904530-6 6.382635+2 1.473679-6 8.035261+4 1.167759-8 1.000000+5 9.390400-9 1 16000 7 0 3.206400+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 2.455900-3 5.269200-5 1.000000+5 5.269200-5 1 16000 7 7 3.206400+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.455900-3 1.749200-4 1.000000+5 1.749200-4 1 16000 7 9 3.206400+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.455900-3 2.228288-3 1.000000+5 1.000000+5 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.259700-4 3.678100+5 2.385000-4 3.611416+5 2.511886-4 3.525861+5 2.660725-4 3.408245+5 2.818383-4 3.269510+5 2.985383-4 3.112756+5 3.054921-4 3.041695+5 3.430000-4 2.658900+5 3.630781-4 2.474684+5 3.890451-4 2.249548+5 4.466836-4 1.836343+5 4.897788-4 1.594698+5 5.308844-4 1.399798+5 6.095369-4 1.108370+5 6.760830-4 9.247040+4 7.585776-4 7.497481+4 8.609938-4 5.913583+4 9.700000-4 4.691760+4 1.110000-3 3.584760+4 1.258925-3 2.765937+4 1.428894-3 2.116801+4 1.650000-3 1.549214+4 1.883649-3 1.153776+4 2.162719-3 8.423244+3 2.511886-3 5.940439+3 2.917427-3 4.153763+3 3.388442-3 2.880141+3 3.935501-3 1.981050+3 4.570882-3 1.352146+3 5.308844-3 9.161449+2 6.165950-3 6.164495+2 7.244360-3 3.993928+2 8.609938-3 2.488180+2 1.011579-2 1.588020+2 1.202264-2 9.741693+1 1.428894-2 5.931753+1 1.717908-2 3.466822+1 2.065380-2 2.010665+1 2.511886-2 1.118230+1 3.090295-2 5.960526+0 3.845918-2 3.044042+0 4.897788-2 1.436707+0 6.531306-2 5.823201-1 8.511380-2 2.521550-1 1.333521-1 6.062784-2 1.698244-1 2.832834-2 2.137962-1 1.382366-2 2.483133-1 8.730917-3 2.851018-1 5.754049-3 3.235937-1 3.953878-3 3.630781-1 2.830960-3 4.027170-1 2.109959-3 4.466836-1 1.584089-3 4.954502-1 1.198483-3 5.477200-1 9.221285-4 6.025596-1 7.240790-4 6.606935-1 5.777637-4 7.161434-1 4.773722-4 7.852356-1 3.870198-4 8.709636-1 3.082001-4 9.440609-1 2.596405-4 1.023293+0 2.202095-4 1.148154+0 1.751431-4 1.273503+0 1.436856-4 1.412538+0 1.188476-4 1.548817+0 1.010782-4 1.717908+0 8.486932-5 1.927525+0 7.045046-5 2.187762+0 5.788595-5 2.483133+0 4.791694-5 2.851018+0 3.929138-5 3.273407+0 3.245580-5 3.801894+0 2.658023-5 4.466836+0 2.159502-5 5.432503+0 1.692154-5 6.531306+0 1.355251-5 8.128305+0 1.049109-5 1.035142+1 7.969258-6 1.364583+1 5.867991-6 1.905461+1 4.090893-6 2.722701+1 2.804424-6 4.415704+1 1.697171-6 7.852356+1 9.414450-7 1.566751+2 4.678997-7 3.126079+2 2.334966-7 2.483133+3 2.928165-8 1.000000+5 7.27050-10 1 16000 7 0 3.206400+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.259700-4 4.137000-5 1.000000+5 4.137000-5 1 16000 7 7 3.206400+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.259700-4 3.250000-8 1.000000+5 3.250000-8 1 16000 7 9 3.206400+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.259700-4 1.845675-4 1.000000+5 1.000000+5 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.727300-4 5.885500+5 1.731000-4 6.861500+5 1.733200-4 7.478000+5 1.735500-4 8.138200+5 1.737801-4 8.810500+5 1.740000-4 9.454500+5 1.742800-4 1.027200+6 1.745000-4 1.091000+6 1.747700-4 1.167000+6 1.750000-4 1.229100+6 1.752000-4 1.281100+6 1.753500-4 1.318400+6 1.755000-4 1.336253+6 1.759000-4 1.407178+6 1.769500-4 1.475824+6 1.780000-4 1.505560+6 1.815000-4 1.526168+6 1.838000-4 1.512411+6 1.883649-4 1.467800+6 2.080000-4 1.277000+6 2.162719-4 1.200000+6 2.260000-4 1.108200+6 2.330000-4 1.055000+6 2.426610-4 9.801800+5 2.691535-4 8.018400+5 2.884032-4 6.979400+5 3.054921-4 6.169700+5 3.235937-4 5.413200+5 3.507519-4 4.468600+5 4.000000-4 3.239400+5 4.365158-4 2.599200+5 4.841724-4 1.983700+5 5.623413-4 1.332800+5 6.237348-4 1.004600+5 7.244360-4 6.616200+4 8.128305-4 4.764400+4 9.332543-4 3.185100+4 1.059254-3 2.186100+4 1.230269-3 1.388900+4 1.400000-3 9.320700+3 1.603245-3 6.095000+3 1.840772-3 3.925100+3 2.113489-3 2.510100+3 2.400000-3 1.653300+3 2.754229-3 1.044900+3 3.162278-3 6.547900+2 3.672823-3 3.917800+2 4.300000-3 2.263000+2 5.069907-3 1.265400+2 6.025596-3 6.821800+1 7.161434-3 3.647500+1 8.511380-3 1.935200+1 1.011579-2 1.019100+1 1.202264-2 5.327600+0 1.445440-2 2.647500+0 1.757924-2 1.249600+0 2.187762-2 5.358100-1 2.917427-2 1.742700-1 5.821032-2 1.159466-2 7.413102-2 4.520832-3 9.120108-2 2.031567-3 1.083927-1 1.050559-3 1.273503-1 5.717821-4 1.479108-1 3.273876-4 1.698244-1 1.969414-4 1.927525-1 1.244554-4 2.187762-1 7.924384-5 2.454709-1 5.294748-5 2.754229-1 3.564755-5 3.054921-1 2.514719-5 3.388442-1 1.787080-5 3.758374-1 1.279654-5 4.120975-1 9.573743-6 4.518559-1 7.210399-6 4.954502-1 5.466768-6 5.432503-1 4.173098-6 5.956621-1 3.206809-6 6.531306-1 2.482727-6 6.998420-1 2.060990-6 7.673615-1 1.620856-6 8.511380-1 1.247136-6 9.440609-1 9.628526-7 9.885531-1 8.631129-7 1.047129+0 7.592607-7 1.109175+0 6.725282-7 1.174898+0 6.001436-7 1.258925+0 5.277414-7 1.364583+0 4.573569-7 1.678804+0 3.218017-7 1.883649+0 2.664523-7 2.089296+0 2.263866-7 2.371374+0 1.869036-7 2.722701+0 1.528626-7 3.126079+0 1.259742-7 3.630781+0 1.029378-7 4.265795+0 8.345900-8 5.128614+0 6.620634-8 6.165950+0 5.290165-8 7.852356+0 3.979227-8 1.023293+1 2.942074-8 1.348963+1 2.165875-8 1.883649+1 1.509448-8 2.722701+1 1.022137-8 4.415704+1 6.185632-9 7.943282+1 3.391332-9 1.584893+2 1.685637-9 3.162278+2 8.41244-10 2.511886+3 1.05500-10 1.000000+5 2.64990-12 1 16000 7 0 3.206400+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.727300-4 2.477800-5 1.000000+5 2.477800-5 1 16000 7 7 3.206400+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.727300-4 2.789600-8 1.000000+5 2.789600-8 1 16000 7 9 3.206400+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.727300-4 1.479241-4 1.000000+5 1.000000+5 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.714000-4 1.192248+6 1.715100-4 1.245268+6 1.717000-4 1.348752+6 1.719000-4 1.461420+6 1.722000-4 1.634408+6 1.725000-4 1.811252+6 1.727000-4 1.930184+6 1.730000-4 2.107060+6 1.732300-4 2.240736+6 1.735000-4 2.393424+6 1.737801-4 2.544836+6 1.741000-4 2.706692+6 1.743500-4 2.823592+6 1.751500-4 2.987543+6 1.753000-4 3.007920+6 1.763500-4 3.092117+6 1.775000-4 3.128640+6 1.777000-4 3.145862+6 1.810000-4 3.183485+6 1.862087-4 3.145466+6 2.000000-4 2.861356+6 2.344229-4 2.089601+6 2.350000-4 2.071528+6 2.483133-4 1.867054+6 2.786121-4 1.487658+6 2.951209-4 1.319965+6 3.126079-4 1.162134+6 3.350000-4 9.882400+5 3.801894-4 7.264869+5 4.168694-4 5.775493+5 4.570882-4 4.556017+5 5.248075-4 3.161834+5 5.821032-4 2.392324+5 6.531306-4 1.741266+5 7.500000-4 1.179688+5 8.317638-4 8.760709+4 9.660509-4 5.646653+4 1.096478-3 3.863106+4 1.258925-3 2.534955+4 1.450000-3 1.634572+4 1.659587-3 1.067543+4 1.927525-3 6.603919+3 2.238721-3 4.051123+3 2.570396-3 2.561367+3 2.951209-3 1.608071+3 3.388442-3 1.002854+3 3.890451-3 6.213651+2 4.518559-3 3.673655+2 5.248075-3 2.157642+2 6.165950-3 1.207391+2 7.244360-3 6.708672+1 8.609938-3 3.546006+1 1.023293-2 1.859612+1 1.216186-2 9.678593+0 1.462177-2 4.785299+0 1.778279-2 2.245487+0 2.187762-2 9.998462-1 2.786121-2 3.858443-1 4.000000-2 9.194560-2 6.531306-2 1.312057-2 8.709636-2 4.214702-3 1.047129-1 2.050328-3 1.230269-1 1.099110-3 1.428894-1 6.203117-4 1.621810-1 3.848290-4 1.840772-1 2.404986-4 2.065380-1 1.579915-4 2.290868-1 1.089499-4 2.540973-1 7.566733-5 2.786121-1 5.509074-5 3.054921-1 4.037994-5 3.349654-1 2.980591-5 3.672823-1 2.216159-5 3.981072-1 1.720754-5 4.315191-1 1.344750-5 4.677351-1 1.058323-5 5.069907-1 8.394017-6 5.495409-1 6.705434-6 5.956621-1 5.394771-6 6.456542-1 4.371096-6 6.998420-1 3.566693-6 7.585776-1 2.930586-6 8.222427-1 2.424599-6 8.912509-1 2.020395-6 9.660509-1 1.695643-6 1.047129+0 1.434714-6 1.148154+0 1.194207-6 1.258925+0 1.001563-6 1.380384+0 8.459898-7 1.531087+0 7.049802-7 1.698244+0 5.915457-7 1.905461+0 4.905770-7 2.137962+0 4.098892-7 2.426610+0 3.388475-7 2.786121+0 2.775010-7 3.198895+0 2.289636-7 3.715352+0 1.873083-7 4.365158+0 1.520244-7 5.248075+0 1.207080-7 6.309573+0 9.653926-8 8.035261+0 7.268079-8 1.035142+1 5.448406-8 1.364583+1 4.011800-8 1.905461+1 2.796814-8 2.754229+1 1.894447-8 4.415704+1 1.160288-8 7.943282+1 6.361534-9 1.584893+2 3.161934-9 3.162278+2 1.578015-9 2.511886+3 1.97897-10 1.000000+5 4.97070-12 1 16000 7 0 3.206400+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.714000-4 2.469300-5 1.000000+5 2.469300-5 1 16000 7 7 3.206400+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.714000-4 2.789600-8 1.000000+5 2.789600-8 1 16000 7 9 3.206400+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.714000-4 1.466791-4 1.000000+5 1.000000+5 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.095000-5 3.845141+4 2.101000-5 4.025700+4 2.113489-5 4.389103+4 2.127000-5 4.790920+4 2.142000-5 5.248200+4 2.160000-5 5.808300+4 2.177000-5 6.349960+4 2.200000-5 7.095880+4 2.220000-5 7.757020+4 2.242000-5 8.491420+4 2.265000-5 9.267760+4 2.290868-5 1.014901+5 2.317395-5 1.105544+5 2.350000-5 1.216966+5 2.385000-5 1.336094+5 2.420000-5 1.454398+5 2.460000-5 1.587984+5 2.500000-5 1.719276+5 2.540973-5 1.850836+5 2.580000-5 1.973112+5 2.630268-5 2.125960+5 2.670000-5 2.242860+5 2.730000-5 2.412520+5 2.786121-5 2.563565+5 2.851018-5 2.728898+5 2.920000-5 2.893640+5 3.000000-5 3.070660+5 3.090295-5 3.252865+5 3.190000-5 3.433400+5 3.300000-5 3.609040+5 3.400000-5 3.748680+5 3.507519-5 3.879184+5 3.650000-5 4.023740+5 3.801894-5 4.146080+5 3.950000-5 4.237520+5 4.120975-5 4.313164+5 4.315191-5 4.365772+5 4.518559-5 4.389147+5 4.731513-5 4.385111+5 5.000000-5 4.346680+5 5.248075-5 4.285266+5 5.559043-5 4.182551+5 5.900000-5 4.047760+5 6.237348-5 3.900300+5 6.650000-5 3.710120+5 7.079458-5 3.509949+5 7.585776-5 3.279305+5 8.222426-5 3.006751+5 9.015711-5 2.700983+5 1.000000-4 2.375320+5 1.122018-4 2.043938+5 1.258925-4 1.746705+5 1.412538-4 1.481989+5 1.580000-4 1.253748+5 1.800000-4 1.023266+5 2.213095-4 7.336615+4 2.691535-4 5.323079+4 3.090295-4 4.213791+4 3.630781-4 3.178057+4 4.365158-4 2.284896+4 5.188000-4 1.664015+4 6.382635-4 1.129210+4 7.328245-4 8.661635+3 8.511380-4 6.445372+3 9.772372-4 4.872065+3 1.135011-3 3.570398+3 1.318257-3 2.595827+3 1.531087-3 1.872259+3 1.778279-3 1.339466+3 2.065380-3 9.509463+2 2.398833-3 6.701011+2 2.786121-3 4.689989+2 3.235937-3 3.259039+2 3.758374-3 2.248171+2 4.315191-3 1.585019+2 5.011872-3 1.077662+2 5.888437-3 7.057460+1 6.918310-3 4.585720+1 8.128305-3 2.957411+1 9.660509-3 1.833841+1 1.148154-2 1.128399+1 1.364583-2 6.891307+0 1.621810-2 4.178004+0 1.949845-2 2.431208+0 2.344229-2 1.404239+0 2.851018-2 7.779121-1 3.507519-2 4.130401-1 4.415704-2 2.027932-1 5.754399-2 8.874589-2 7.673615-2 3.579894-2 1.412538-1 5.186033-3 1.819701-1 2.338312-3 2.213095-1 1.273280-3 2.570396-1 8.055137-4 2.951209-1 5.317771-4 3.349654-1 3.661455-4 3.758374-1 2.627553-4 4.168694-1 1.962826-4 4.623810-1 1.477079-4 5.069907-1 1.155007-4 5.559043-1 9.094514-5 6.095369-1 7.212414-5 6.683439-1 5.763358-5 7.328245-1 4.640433-5 8.035261-1 3.765042-5 8.709636-1 3.155074-5 9.440609-1 2.660548-5 1.035142+0 2.206653-5 1.161449+0 1.756875-5 1.288250+0 1.442428-5 1.428894+0 1.193825-5 1.566751+0 1.016013-5 1.737801+0 8.538015-6 1.949845+0 7.093308-6 2.213095+0 5.832141-6 2.511886+0 4.830800-6 2.884032+0 3.963821-6 3.349654+0 3.225478-6 3.890451+0 2.644395-6 4.623810+0 2.119560-6 5.623413+0 1.663292-6 6.839116+0 1.315931-6 8.413951+0 1.033856-6 1.047129+1 8.066974-7 1.380384+1 5.941291-7 1.927525+1 4.143134-7 2.800000+1 2.792600-7 4.518559+1 1.699255-7 8.128305+1 9.320170-8 1.621810+2 4.633247-8 6.456542+2 1.156489-8 8.128305+4 9.16418-11 1.000000+5 7.45460-11 1 16000 7 0 3.206400+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.095000-5 2.095000-5 1.000000+5 2.095000-5 1 16000 7 9 3.206400+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.095000-5 0.0 1.000000+5 1.000000+5 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.034000-5 1.912102+7 1.060000-5 1.934382+7 1.085000-5 1.944648+7 1.109175-5 1.944136+7 1.140000-5 1.928729+7 1.170000-5 1.897889+7 1.200000-5 1.853969+7 1.222000-5 1.814129+7 1.245000-5 1.765782+7 1.273503-5 1.697645+7 1.303167-5 1.619352+7 1.335000-5 1.529236+7 1.364583-5 1.441558+7 1.396368-5 1.345275+7 1.428894-5 1.246361+7 1.462177-5 1.146690+7 1.500000-5 1.037247+7 1.531087-5 9.515417+6 1.570000-5 8.507099+6 1.611900-5 7.510582+6 1.659587-5 6.492379+6 1.710000-5 5.547986+6 1.757924-5 4.768712+6 1.819701-5 3.918025+6 1.883649-5 3.196090+6 1.950000-5 2.589607+6 2.040000-5 1.953315+6 2.137962-5 1.446197+6 2.426610-5 6.326670+5 2.511886-5 5.077032+5 2.580000-5 4.304456+5 2.650000-5 3.674377+5 2.710000-5 3.241432+5 2.770000-5 2.889486+5 2.818383-5 2.655206+5 2.870000-5 2.446581+5 2.920000-5 2.279408+5 2.965000-5 2.154221+5 3.000000-5 2.071355+5 3.040000-5 1.990395+5 3.090295-5 1.906938+5 3.135000-5 1.847649+5 3.190000-5 1.791289+5 3.245000-5 1.750529+5 3.300000-5 1.722956+5 3.350000-5 1.707556+5 3.420000-5 1.698876+5 3.500000-5 1.703782+5 3.589219-5 1.723539+5 3.690000-5 1.759049+5 3.801894-5 1.809644+5 4.000000-5 1.914942+5 4.365158-5 2.117456+5 4.570882-5 2.220288+5 4.800000-5 2.318981+5 5.011872-5 2.393720+5 5.248075-5 2.457708+5 5.495409-5 2.503601+5 5.754399-5 2.530754+5 6.025596-5 2.539158+5 6.309573-5 2.528982+5 6.606934-5 2.501226+5 6.918310-5 2.457695+5 7.300000-5 2.389474+5 7.673615-5 2.311598+5 8.128305-5 2.208604+5 8.609938-5 2.095568+5 9.120108-5 1.975758+5 9.800000-5 1.821995+5 1.047129-4 1.679371+5 1.135011-4 1.509216+5 1.224700-4 1.353944+5 1.318257-4 1.210696+5 1.428894-4 1.062710+5 1.548817-4 9.256607+4 1.678804-4 8.009207+4 1.862087-4 6.596725+4 2.113489-4 5.159629+4 2.371374-4 4.097277+4 2.600160-4 3.385873+4 2.851018-4 2.779037+4 3.126079-4 2.265656+4 3.507519-4 1.742004+4 3.935501-4 1.329896+4 4.415704-4 1.007778+4 5.069907-4 7.166628+3 5.754399-4 5.210357+3 6.382635-4 3.987221+3 7.161434-4 2.938135+3 8.035261-4 2.148510+3 9.015711-4 1.558520+3 1.011579-3 1.122504+3 1.148154-3 7.764359+2 1.303167-3 5.329860+2 1.479108-3 3.632575+2 1.698244-3 2.373309+2 1.949845-3 1.538605+2 2.238721-3 9.901757+1 2.570396-3 6.325717+1 2.951209-3 4.011629+1 3.388442-3 2.525323+1 3.890451-3 1.578465+1 4.466836-3 9.797288+0 5.188000-3 5.800737+0 6.095369-3 3.272370+0 7.161434-3 1.832283+0 8.413951-3 1.018384+0 1.000000-2 5.385399-1 1.188502-2 2.825597-1 1.428894-2 1.409279-1 1.717908-2 6.974611-2 2.137962-2 3.000484-2 2.786121-2 1.071527-2 5.559043-2 7.178343-4 7.328245-2 2.447554-4 9.015711-2 1.099600-4 1.096478-1 5.203838-5 1.288250-1 2.830421-5 1.500000-1 1.604800-5 1.717908-1 9.746743-6 1.949845-1 6.162048-6 2.213095-1 3.925470-6 2.483133-1 2.624352-6 2.786121-1 1.767813-6 3.090295-1 1.247495-6 3.427678-1 8.865698-7 3.801894-1 6.347900-7 4.168694-1 4.748317-7 4.570882-1 3.575078-7 5.011872-1 2.710151-7 5.495409-1 2.069323-7 6.025596-1 1.591431-7 6.606935-1 1.232959-7 7.244360-1 9.623054-8 8.609938-1 6.138475-8 9.120108-1 5.316802-8 9.660509-1 4.636160-8 1.011579+0 4.179356-8 1.083927+0 3.605952-8 1.148154+0 3.209531-8 1.230269+0 2.813900-8 1.333521+0 2.431663-8 1.462177+0 2.073312-8 1.698244+0 1.609449-8 1.905461+0 1.333856-8 2.137962+0 1.114310-8 2.426610+0 9.211892-9 2.786121+0 7.543953-9 3.198895+0 6.224266-9 3.715352+0 5.091775-9 4.365158+0 4.132536-9 5.248075+0 3.281318-9 6.309573+0 2.624434-9 8.035261+0 1.975762-9 1.035142+1 1.481150-9 1.364583+1 1.090631-9 1.905461+1 7.60293-10 2.754229+1 5.14981-10 4.415704+1 3.15423-10 7.852356+1 1.74971-10 1.566751+2 8.69602-11 3.126079+2 4.33959-11 2.483133+3 5.44212-12 1.000000+5 1.35120-13 1 16000 7 0 3.206400+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.034000-5 1.034000-5 1.000000+5 1.034000-5 1 16000 7 9 3.206400+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.034000-5 0.0 1.000000+5 1.000000+5 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.025000-5 3.854138+7 1.050000-5 3.895338+7 1.075000-5 3.913712+7 1.105000-5 3.905418+7 1.135011-5 3.866243+7 1.161449-5 3.807410+7 1.190700-5 3.717203+7 1.220000-5 3.604485+7 1.245000-5 3.492218+7 1.273503-5 3.348844+7 1.303167-5 3.185848+7 1.333521-5 3.008725+7 1.364583-5 2.820867+7 1.396368-5 2.625753+7 1.428894-5 2.426928+7 1.462177-5 2.227941+7 1.500000-5 2.010859+7 1.531087-5 1.841706+7 1.570000-5 1.643599+7 1.611900-5 1.448528+7 1.659587-5 1.249952+7 1.710000-5 1.066409+7 1.757924-5 9.153648+6 1.819701-5 7.508786+6 1.883649-5 6.116348+6 1.950000-5 4.949553+6 2.040000-5 3.727391+6 2.150000-5 2.657201+6 2.400000-5 1.295191+6 2.483133-5 1.042182+6 2.560000-5 8.634277+5 2.610000-5 7.697770+5 2.670000-5 6.766408+5 2.730000-5 6.010408+5 2.786121-5 5.435083+5 2.830000-5 5.060300+5 2.870000-5 4.768246+5 2.920000-5 4.461126+5 2.965000-5 4.232619+5 3.000000-5 4.082432+5 3.040000-5 3.936565+5 3.090295-5 3.787760+5 3.135000-5 3.683658+5 3.190000-5 3.586751+5 3.245000-5 3.519124+5 3.300000-5 3.476164+5 3.350000-5 3.455124+5 3.420000-5 3.449604+5 3.500000-5 3.470671+5 3.589219-5 3.520408+5 3.690000-5 3.600538+5 3.845918-5 3.755948+5 4.315191-5 4.283641+5 4.518559-5 4.491793+5 4.731513-5 4.681147+5 4.954502-5 4.843717+5 5.188000-5 4.973953+5 5.432503-5 5.068727+5 5.688529-5 5.126038+5 5.956621-5 5.144742+5 6.237348-5 5.125747+5 6.531306-5 5.071913+5 6.839116-5 4.985874+5 7.161434-5 4.870462+5 7.500000-5 4.730086+5 7.943282-5 4.528795+5 8.413951-5 4.303210+5 9.015711-5 4.013801+5 9.549926-5 3.764169+5 1.023293-4 3.461999+5 1.096478-4 3.164086+5 1.190000-4 2.821524+5 1.273503-4 2.549528+5 1.380384-4 2.243842+5 1.500000-4 1.950258+5 1.621810-4 1.697874+5 1.778279-4 1.431629+5 2.000000-4 1.142169+5 2.238721-4 9.135213+4 2.483133-4 7.392350+4 2.730000-4 6.048914+4 3.000000-4 4.918486+4 3.349654-4 3.831972+4 3.758374-4 2.930650+4 4.216965-4 2.224861+4 4.786301-4 1.630593+4 5.495409-4 1.153925+4 6.095369-4 8.850429+3 6.760830-4 6.739487+3 7.585776-4 4.942183+3 8.413951-4 3.713580+3 9.440609-4 2.683719+3 1.059254-3 1.926007+3 1.202264-3 1.327023+3 1.364583-3 9.074851+2 1.566751-3 5.947951+2 1.798871-3 3.868498+2 2.065380-3 2.496787+2 2.371374-3 1.599678+2 2.722701-3 1.017295+2 3.126079-3 6.421348+1 3.589219-3 4.023329+1 4.120975-3 2.502350+1 4.731513-3 1.544774+1 5.495409-3 9.092286+0 6.531306-3 4.891648+0 7.673615-3 2.722551+0 9.015711-3 1.504190+0 1.059254-2 8.249980-1 1.258925-2 4.301004-1 1.513561-2 2.129941-1 1.840772-2 1.000511-1 2.290868-2 4.263772-2 2.951209-2 1.574606-2 6.998420-2 5.139998-4 8.810489-2 2.076531-4 1.083927-1 9.255412-5 1.273503-1 4.971120-5 1.462177-1 2.937546-5 1.678804-1 1.748321-5 1.883649-1 1.142201-5 2.113489-1 7.515285-6 2.344229-1 5.191481-6 2.600160-1 3.612213-6 2.851018-1 2.634103-6 3.126079-1 1.933914-6 3.427678-1 1.430281-6 3.715352-1 1.105547-6 4.027170-1 8.600475-7 4.365158-1 6.737889-7 4.731513-1 5.314583-7 5.128614-1 4.220864-7 5.559043-1 3.375764-7 6.025596-1 2.719427-7 6.531306-1 2.207790-7 7.079458-1 1.805600-7 7.673615-1 1.487317-7 8.413951-1 1.201486-7 9.120108-1 1.004253-7 9.885531-1 8.457252-8 1.083927+0 7.009041-8 1.174898+0 5.982802-8 1.288250+0 5.027265-8 1.428894+0 4.166090-8 1.584893+0 3.479103-8 1.757924+0 2.925983-8 1.972423+0 2.432308-8 2.238721+0 2.001139-8 2.540973+0 1.658636-8 2.917427+0 1.361892-8 3.388442+0 1.108899-8 3.981072+0 8.960971-9 4.731513+0 7.189843-9 5.754399+0 5.647308-9 7.000000+0 4.470900-9 8.511380+0 3.562655-9 1.047129+1 2.816749-9 1.364583+1 2.100812-9 1.905461+1 1.464552-9 2.754229+1 9.92004-10 4.466836+1 6.00412-10 8.035261+1 3.29248-10 1.603245+2 1.63665-10 3.198895+2 8.16833-11 2.540973+3 1.02443-11 1.000000+5 2.60290-13 1 16000 7 0 3.206400+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.025000-5 1.025000-5 1.000000+5 1.025000-5 1 16000 7 9 3.206400+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.025000-5 0.0 1.000000+5 1.000000+5 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.016260-8 1.028750+0 1.016260-7 1.036640+0 1.016260-6 1.038200+0 1.371480-6 1.039700+0 1.781820-6 1.041500+0 2.370700-6 1.043800+0 3.290610-6 1.046400+0 4.578260-6 1.048300+0 5.700060-6 1.051200+0 7.732010-6 1.054080+0 1.016260-5 1.057700+0 1.385220-5 1.061100+0 1.801820-5 1.065100+0 2.385390-5 1.070400+0 3.327830-5 1.076200+0 4.599020-5 1.080600+0 5.743420-5 1.087100+0 7.738350-5 1.093710+0 1.016260-4 1.102600+0 1.409110-4 1.110700+0 1.837890-4 1.120600+0 2.458790-4 1.133300+0 3.419040-4 1.147500+0 4.721260-4 1.158200+0 5.867540-4 1.174100+0 7.841010-4 1.190110+0 1.016260-3 1.205100+0 1.264390-3 1.227500+0 1.691550-3 1.250000+0 2.188000-3 1.281300+0 2.988740-3 1.308600+0 3.789100-3 1.332500+0 4.565080-3 1.374400+0 6.087410-3 1.405800+0 7.356750-3 1.452900+0 9.454170-3 1.500000+0 1.177000-2 1.562500+0 1.515410-2 1.617200+0 1.838500-2 1.712900+0 2.456320-2 1.784700+0 2.958470-2 1.892300+0 3.761540-2 2.000000+0 4.614000-2 2.044000+0 4.973000-2 2.163500+0 5.966550-2 2.372600+0 7.742200-2 2.529500+0 9.084240-2 2.764700+0 1.108710-1 3.000000+0 1.307000-1 3.437500+0 1.667280-1 4.000000+0 2.108000-1 4.750000+0 2.648730-1 5.000000+0 2.819000-1 6.000000+0 3.456000-1 7.000000+0 4.023000-1 8.000000+0 4.533000-1 9.000000+0 4.995000-1 1.000000+1 5.414000-1 1.100000+1 5.794000-1 1.200000+1 6.143000-1 1.300000+1 6.467000-1 1.400000+1 6.767000-1 1.500000+1 7.048000-1 1.600000+1 7.312000-1 1.800000+1 7.795000-1 2.000000+1 8.226000-1 2.200000+1 8.617000-1 2.400000+1 8.972000-1 2.600000+1 9.297000-1 2.800000+1 9.596000-1 3.000000+1 9.873000-1 4.000000+1 1.102000+0 5.000000+1 1.187000+0 6.000000+1 1.254000+0 8.000000+1 1.353000+0 1.000000+2 1.424000+0 1.500000+2 1.540000+0 2.000000+2 1.610000+0 3.000000+2 1.694000+0 4.000000+2 1.743000+0 5.000000+2 1.775000+0 6.000000+2 1.799000+0 8.000000+2 1.830000+0 1.000000+3 1.850000+0 1.500000+3 1.880000+0 2.000000+3 1.897000+0 3.000000+3 1.914000+0 4.000000+3 1.924000+0 5.000000+3 1.930000+0 6.000000+3 1.934000+0 8.000000+3 1.940000+0 1.000000+4 1.943000+0 1.500000+4 1.948000+0 2.000000+4 1.950000+0 3.000000+4 1.953000+0 4.000000+4 1.955000+0 5.000000+4 1.956000+0 6.000000+4 1.956000+0 8.000000+4 1.957000+0 1.000000+5 1.957000+0 1 16000 7 8 3.206400+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 16000 7 9 3.206400+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 1.606770-7 2.127900+0 1.223000-6 2.136250+0 1.606770-6 2.147000+0 2.202990-6 2.156900+0 2.861420-6 2.169000+0 3.818750-6 2.184500+0 5.308190-6 2.201800+0 7.344030-6 2.214800+0 9.150090-6 2.234200+0 1.230850-5 2.253680+0 1.606770-5 2.281500+0 2.250570-5 2.307000+0 2.956110-5 2.338200+0 3.974760-5 2.377400+0 5.504570-5 2.410200+0 7.000900-5 2.446800+0 8.905540-5 2.485900+0 1.121260-4 2.532900+0 1.434960-4 2.556430+0 1.606770-4 2.611900+0 2.048800-4 2.660400+0 2.476870-4 2.745300+0 3.315090-4 2.809000+0 4.014740-4 2.904500+0 5.171900-4 3.000000+0 6.456000-4 3.125000+0 8.325270-4 3.234400+0 1.013070-3 3.425800+0 1.364450-3 3.569300+0 1.654730-3 3.784700+0 2.127570-3 4.000000+0 2.636000-3 4.250000+0 3.257710-3 4.625000+0 4.235140-3 5.000000+0 5.252000-3 5.500000+0 6.649290-3 6.000000+0 8.066000-3 6.750000+0 1.017460-2 7.000000+0 1.087000-2 8.000000+0 1.360000-2 9.000000+0 1.621000-2 1.000000+1 1.870000-2 1.100000+1 2.106000-2 1.200000+1 2.328000-2 1.300000+1 2.539000-2 1.400000+1 2.740000-2 1.500000+1 2.930000-2 1.600000+1 3.111000-2 1.800000+1 3.448000-2 2.000000+1 3.756000-2 2.200000+1 4.039000-2 2.400000+1 4.301000-2 2.600000+1 4.543000-2 2.800000+1 4.768000-2 3.000000+1 4.979000-2 4.000000+1 5.860000-2 5.000000+1 6.540000-2 6.000000+1 7.086000-2 8.000000+1 7.923000-2 1.000000+2 8.544000-2 1.500000+2 9.599000-2 2.000000+2 1.028000-1 3.000000+2 1.113000-1 4.000000+2 1.166000-1 5.000000+2 1.203000-1 6.000000+2 1.230000-1 8.000000+2 1.268000-1 1.000000+3 1.293000-1 1.500000+3 1.331000-1 2.000000+3 1.353000-1 3.000000+3 1.377000-1 4.000000+3 1.391000-1 5.000000+3 1.399000-1 6.000000+3 1.405000-1 8.000000+3 1.413000-1 1.000000+4 1.419000-1 1.500000+4 1.426000-1 2.000000+4 1.430000-1 3.000000+4 1.434000-1 4.000000+4 1.436000-1 5.000000+4 1.438000-1 6.000000+4 1.439000-1 8.000000+4 1.440000-1 1.000000+5 1.441000-1 1 16000 7 8 3.206400+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 16000 7 9 3.206400+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 1.600000+1 1.000000+5 1.600000+1 5.000000+5 1.599400+1 7.187500+5 1.598670+1 8.593700+5 1.598310+1 1.000000+6 1.597800+1 1.250000+6 1.596520+1 1.500000+6 1.595200+1 2.000000+6 1.591400+1 2.500000+6 1.586600+1 3.000000+6 1.580800+1 3.750000+6 1.570240+1 4.000000+6 1.566400+1 4.750000+6 1.553030+1 5.000000+6 1.548300+1 5.500000+6 1.537940+1 6.000000+6 1.526950+1 6.250000+6 1.521050+1 7.000000+6 1.502700+1 7.875000+6 1.479420+1 8.000000+6 1.476040+1 8.625000+6 1.458230+1 9.000000+6 1.447400+1 1.000000+7 1.417200+1 1.062500+7 1.397660+1 1.125000+7 1.377950+1 1.156300+7 1.367880+1 1.250000+7 1.337800+1 1.375000+7 1.297300+1 1.437500+7 1.277220+1 1.500000+7 1.257400+1 1.625000+7 1.218210+1 1.687500+7 1.199170+1 1.750000+7 1.180500+1 1.937500+7 1.126850+1 2.000000+7 1.109900+1 2.218800+7 1.054170+1 2.406300+7 1.011360+1 2.500000+7 9.916200+0 2.750000+7 9.439330+0 3.000000+7 9.028500+0 3.250000+7 8.676380+0 3.625000+7 8.227430+0 4.000000+7 7.847700+0 4.750000+7 7.208540+0 5.000000+7 7.011400+0 5.500000+7 6.623830+0 5.875000+7 6.336780+0 6.000000+7 6.241800+0 6.437500+7 5.909310+0 6.812500+7 5.627660+0 7.000000+7 5.489200+0 7.500000+7 5.125270+0 8.000000+7 4.775400+0 8.500000+7 4.441360+0 9.000000+7 4.126200+0 9.500000+7 3.831470+0 1.000000+8 3.558300+0 1.062500+8 3.247580+0 1.125000+8 2.971680+0 1.250000+8 2.520000+0 1.375000+8 2.180200+0 1.437500+8 2.044600+0 1.468800+8 1.983980+0 1.500000+8 1.928000+0 1.562500+8 1.828120+0 1.671900+8 1.684690+0 1.750000+8 1.601110+0 1.753900+8 1.597280+0 1.877000+8 1.490050+0 2.000000+8 1.404400+0 2.125000+8 1.333560+0 2.312500+8 1.247580+0 2.500000+8 1.176900+0 2.750000+8 1.094270+0 2.875000+8 1.053040+0 3.000000+8 1.010100+0 3.125000+8 9.653360-1 3.500000+8 8.433000-1 3.812500+8 7.649630-1 3.937500+8 7.341060-1 4.000000+8 7.181000-1 4.125000+8 6.846920-1 4.234400+8 6.547550-1 4.425800+8 6.028220-1 4.569300+8 5.655440-1 5.000000+8 4.678000-1 5.437500+8 3.908790-1 5.718800+8 3.486280-1 5.929700+8 3.192400-1 6.000000+8 3.098000-1 6.562500+8 2.439360-1 6.718800+8 2.299020-1 6.906300+8 2.157660-1 7.000000+8 2.098000-1 7.125000+8 2.029120-1 7.671900+8 1.790010-1 7.835900+8 1.718460-1 8.000000+8 1.641000-1 8.125000+8 1.577090-1 8.297100+8 1.484800-1 8.455000+8 1.398250-1 8.648200+8 1.293140-1 8.896000+8 1.163980-1 9.172000+8 1.031770-1 1.000000+9 7.260000-2 1.031300+9 6.440790-2 1.074300+9 5.534330-2 1.113800+9 4.867240-2 1.139500+9 4.498130-2 1.500000+9 1.825000-2 1.589800+9 1.491400-2 1.665000+9 1.263710-2 1.784700+9 9.787010-3 2.000000+9 6.371000-3 2.750000+9 1.899570-3 3.875000+9 5.132420-4 5.000000+9 1.933100-4 8.000000+9 3.185200-5 9.500000+9 1.654700-5 1.00000+10 1.362200-5 1.20500+10 6.749560-6 1.41820+10 3.676560-6 1.71170+10 1.835730-6 2.01490+10 1.011060-6 2.26440+10 6.618850-7 2.74790+10 3.298360-7 3.20120+10 1.913340-7 3.62610+10 1.230690-7 4.42280+10 6.127520-8 5.12000+10 3.681010-8 6.34000+10 1.760810-8 7.94120+10 8.162610-9 1.00000+11 3.746600-9 1.26840+11 1.692600-9 1.58400+11 8.11524-10 2.01970+11 3.66099-10 2.73980+11 1.36341-10 3.89420+11 4.42925-11 5.35610+11 1.61845-11 8.96670+11 3.25302-12 1.40100+12 8.27622-13 2.73660+12 1.09448-13 6.72830+12 7.56033-15 1.00000+14 2.85150-18 5.62340+14 1.75958-20 5.42470+15 2.02949-23 1.00000+17 3.13270-27 1 16000 7 0 3.206400+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 2.90000-12 1.000000+2 2.90000-10 1.000000+3 2.900000-8 1.000000+4 2.900000-6 1.000000+5 2.900000-4 5.000000+5 7.250000-3 7.187500+5 1.498145-2 8.593700+5 2.141699-2 1.000000+6 2.900000-2 1.250000+6 4.510090-2 1.500000+6 6.460000-2 2.000000+6 1.142000-1 2.500000+6 1.770000-1 3.000000+6 2.526000-1 3.750000+6 3.881020-1 4.000000+6 4.388000-1 4.750000+6 6.057200-1 5.000000+6 6.660000-1 5.500000+6 7.926200-1 6.000000+6 9.266300-1 6.250000+6 9.960760-1 7.000000+6 1.212700+0 7.875000+6 1.477720+0 8.000000+6 1.516470+0 8.625000+6 1.712250+0 9.000000+6 1.831300+0 1.000000+7 2.151000+0 1.062500+7 2.350680+0 1.125000+7 2.549240+0 1.156300+7 2.647990+0 1.250000+7 2.939700+0 1.375000+7 3.317210+0 1.437500+7 3.500440+0 1.500000+7 3.680000+0 1.625000+7 4.025900+0 1.687500+7 4.192150+0 1.750000+7 4.354500+0 1.937500+7 4.814500+0 2.000000+7 4.960000+0 2.218800+7 5.436820+0 2.406300+7 5.809240+0 2.500000+7 5.983800+0 2.750000+7 6.412380+0 3.000000+7 6.795000+0 3.250000+7 7.137070+0 3.625000+7 7.593360+0 4.000000+7 8.002000+0 4.750000+7 8.731920+0 5.000000+7 8.960000+0 5.500000+7 9.403730+0 5.875000+7 9.724110+0 6.000000+7 9.829000+0 6.437500+7 1.018730+1 6.812500+7 1.048200+1 7.000000+7 1.062600+1 7.500000+7 1.099200+1 8.000000+7 1.133600+1 8.500000+7 1.165520+1 9.000000+7 1.195200+1 9.500000+7 1.222270+1 1.000000+8 1.247200+1 1.062500+8 1.275100+1 1.125000+8 1.299920+1 1.250000+8 1.341400+1 1.375000+8 1.373480+1 1.437500+8 1.386960+1 1.468800+8 1.393100+1 1.500000+8 1.399000+1 1.562500+8 1.409790+1 1.671900+8 1.426250+1 1.750000+8 1.436520+1 1.753900+8 1.437000+1 1.877000+8 1.451310+1 2.000000+8 1.464100+1 2.125000+8 1.475720+1 2.312500+8 1.491300+1 2.500000+8 1.505100+1 2.750000+8 1.521260+1 2.875000+8 1.528310+1 3.000000+8 1.535100+1 3.125000+8 1.541080+1 3.500000+8 1.556700+1 3.812500+8 1.566600+1 3.937500+8 1.569960+1 4.000000+8 1.571600+1 4.125000+8 1.574380+1 4.234400+8 1.576740+1 4.425800+8 1.580150+1 4.569300+8 1.582580+1 5.000000+8 1.588000+1 5.437500+8 1.591720+1 5.718800+8 1.593300+1 5.929700+8 1.594430+1 6.000000+8 1.594800+1 6.562500+8 1.596620+1 6.718800+8 1.597100+1 6.906300+8 1.597510+1 7.000000+8 1.597700+1 7.125000+8 1.597860+1 7.671900+8 1.598520+1 7.835900+8 1.598710+1 8.000000+8 1.598900+1 8.125000+8 1.598960+1 8.297100+8 1.599030+1 8.455000+8 1.599100+1 8.648200+8 1.599180+1 8.896000+8 1.599280+1 9.172000+8 1.599390+1 1.000000+9 1.599700+1 1.031300+9 1.599720+1 1.074300+9 1.599750+1 1.113800+9 1.599780+1 1.139500+9 1.599800+1 1.500000+9 1.600000+1 1.589800+9 1.600000+1 1.665000+9 1.600000+1 1.784700+9 1.600000+1 2.000000+9 1.600000+1 2.750000+9 1.600000+1 3.875000+9 1.600000+1 5.000000+9 1.600000+1 8.000000+9 1.600000+1 9.500000+9 1.600000+1 1.00000+10 1.600000+1 1.20500+10 1.600000+1 1.41820+10 1.600000+1 1.71170+10 1.600000+1 2.01490+10 1.600000+1 2.26440+10 1.600000+1 2.74790+10 1.600000+1 3.20120+10 1.600000+1 3.62610+10 1.600000+1 4.42280+10 1.600000+1 5.12000+10 1.600000+1 6.34000+10 1.600000+1 7.94120+10 1.600000+1 1.00000+11 1.600000+1 1.26840+11 1.600000+1 1.58400+11 1.600000+1 2.01970+11 1.600000+1 2.73980+11 1.600000+1 3.89420+11 1.600000+1 5.35610+11 1.600000+1 8.96670+11 1.600000+1 1.40100+12 1.600000+1 2.73660+12 1.600000+1 6.72830+12 1.600000+1 1.00000+14 1.600000+1 5.62340+14 1.600000+1 5.42470+15 1.600000+1 1.00000+17 1.600000+1 1 16000 7 0 3.206400+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.010068-6 0.0 6.743937-6 0.0 6.768836-6 5.872930-1 6.777135-6 7.805741-1 6.793735-6 1.425782+0 6.810334-6 2.404065+0 6.826933-6 3.741907+0 6.847682-6 5.907547+0 6.876731-6 9.205780+0 6.894368-6 1.075883+1 6.909930-6 1.164628+1 6.928995-6 1.190457+1 6.947506-6 1.142739+1 6.976595-6 9.856176+0 7.039985-6 5.213175+0 7.076839-6 2.532915+0 7.090566-6 1.875134+0 7.107397-6 1.210521+0 7.124228-6 7.213840-1 7.141059-6 3.968393-1 7.166306-6 1.008781-1 7.174721-6 0.0 7.765121-6 0.0 7.769816-6 1.718494-7 7.803347-6 2.587666-6 7.808065-6 3.037331-6 7.822460-6 4.751892-6 7.827189-6 5.461322-6 7.841573-6 8.058901-6 7.846314-6 9.073195-6 7.863988-6 1.352892-5 7.922811-6 3.385515-5 7.941936-6 3.924457-5 7.961060-6 4.269132-5 7.980184-6 4.382675-5 7.999481-6 4.270789-5 8.018838-6 3.974150-5 8.038194-6 3.550533-5 8.109153-6 1.661300-5 8.147379-6 7.854669-6 8.154331-6 6.641294-6 8.173687-6 4.287388-6 8.193043-6 2.554977-6 8.212400-6 1.405514-6 8.231756-6 7.137353-7 8.251112-6 0.0 8.482660-6 0.0 8.482709-6 1.635129-4 8.521857-6 1.301419+0 8.524467-6 1.387378+0 8.545346-6 2.534077+0 8.566225-6 4.282671+0 8.576881-6 5.532774+0 8.587104-6 6.900913+0 8.622933-6 1.280718+1 8.660181-6 1.926300+1 8.673231-6 2.120062+1 8.695252-6 2.348041+1 8.716666-6 2.440165+1 8.737483-6 2.400109+1 8.768992-6 2.153455+1 8.795368-6 1.824176+1 8.853313-6 9.904224+0 8.893545-6 5.039174+0 8.900606-6 4.286867+0 8.914655-6 3.302103+0 8.935766-6 2.138090+0 8.956877-6 1.307789+0 8.984916-6 5.488138-1 8.999099-6 2.252581-1 9.019796-6 1.358114-1 9.041105-6 7.471095-2 9.062415-6 3.793905-2 9.083724-6 0.0 9.145573-6 0.0 9.145612-6 6.210895-5 9.190634-6 7.101129-1 9.213145-6 1.322991+0 9.237064-6 2.317391+0 9.259689-6 3.759065+0 9.298447-6 6.883513+0 9.345562-6 1.079612+1 9.374888-6 1.236788+1 9.398369-6 1.276690+1 9.427864-6 1.219067+1 9.454882-6 1.084615+1 9.522698-6 6.580960+0 9.532556-6 6.033203+0 9.554447-6 5.148013+0 9.582447-6 4.647274+0 9.598704-6 4.592407+0 9.632103-6 5.376452+0 9.672620-6 6.716319+0 9.719520-6 7.705546+0 9.746688-6 7.958085+0 9.821453-6 7.805790+0 9.883584-6 7.587577+0 1.015142-5 7.989272+0 1.034981-5 8.579164+0 1.040247-5 9.649590+0 1.042805-5 1.050026+1 1.044668-5 1.152600+1 1.048518-5 1.547492+1 1.050715-5 1.836523+1 1.053339-5 2.252591+1 1.060330-5 3.519468+1 1.063147-5 3.912919+1 1.065920-5 4.127513+1 1.068703-5 4.136658+1 1.070614-5 4.005592+1 1.074046-5 3.529276+1 1.080707-5 2.257626+1 1.084328-5 1.671565+1 1.085802-5 1.469270+1 1.088294-5 1.246930+1 1.090543-5 1.108276+1 1.095684-5 9.161446+0 1.183516-5 9.499168+0 1.261723-5 9.257810+0 1.373699-5 8.198713+0 1.647535-5 4.648648+0 1.759494-5 3.489841+0 1.847445-5 2.766646+0 1.929813-5 2.222507+0 2.018255-5 1.762625+0 2.095000-5 1.448425+0 2.178830-5 1.179946+0 2.262062-5 9.725960-1 2.367415-5 7.762323-1 2.467329-5 6.421200-1 2.580000-5 5.371583-1 2.694916-5 4.670591-1 2.814339-5 4.233796-1 2.948125-5 3.998151-1 3.112648-5 3.967342-1 3.300000-5 4.157882-1 3.589219-5 4.727420-1 4.806410-5 7.854157-1 5.514219-5 9.292528-1 6.237348-5 1.030521+0 7.300000-5 1.106864+0 8.429205-5 1.124832+0 1.104681-4 1.071034+0 1.640355-4 8.643622-1 1.652608-4 8.917716-1 1.660669-4 9.573791-1 1.667571-4 1.064142+0 1.670753-4 1.133350+0 1.675534-4 1.273061+0 1.680338-4 1.448002+0 1.687848-4 1.828226+0 1.693562-4 2.225662+0 1.700336-4 2.866744+0 1.706312-4 3.595021+0 1.714228-4 4.784131+0 1.741000-4 9.421721+0 1.752000-4 1.086634+1 1.764933-4 1.192831+1 1.786243-4 1.265523+1 1.851100-4 1.308292+1 2.071816-4 1.244164+1 2.106418-4 1.229358+1 2.126196-4 1.289944+1 2.152583-4 1.495613+1 2.162796-4 1.486046+1 2.187721-4 1.264008+1 2.199571-4 1.209255+1 2.213441-4 1.200427+1 2.252357-4 1.261785+1 3.535442-4 8.324362+0 4.217245-4 6.649482+0 4.915200-4 5.392013+0 5.652540-4 4.422741+0 6.588004-4 3.530728+0 7.597638-4 2.844941+0 8.544363-4 2.371400+0 9.558888-4 1.986497+0 1.063646-3 1.672970+0 1.209695-3 1.356944+0 1.365320-3 1.111311+0 1.537919-3 9.108292-1 1.735660-3 7.428570-1 1.988941-3 5.887310-1 2.258135-3 4.730007-1 2.386929-3 4.306511-1 2.398693-3 4.956381-1 2.404554-3 5.600057-1 2.410313-3 6.623629-1 2.416316-3 8.241469-1 2.423620-3 1.113933+0 2.429178-3 1.390018+0 2.442407-3 2.216029+0 2.452850-3 2.874464+0 2.462710-3 3.349429+0 2.473990-3 3.701907+0 2.489625-3 3.896947+0 2.556676-3 3.881127+0 3.058483-3 2.957383+0 3.476707-3 2.414813+0 4.001175-3 1.924391+0 4.546627-3 1.554022+0 5.140217-3 1.260752+0 5.726785-3 1.043748+0 6.347141-3 8.694970-1 7.083805-3 7.133192-1 7.908102-3 5.829092-1 8.834195-3 4.744184-1 9.780549-3 3.916428-1 1.074402-2 3.273608-1 1.184341-2 2.714535-1 1.307383-2 2.237461-1 1.445440-2 1.838291-1 1.590021-2 1.519717-1 1.757923-2 1.244155-1 1.971534-2 9.859951-2 2.162329-2 8.171272-2 2.364351-2 6.797154-2 2.585626-2 5.649382-2 2.843741-2 4.632337-2 3.127550-2 3.796071-2 3.491300-2 3.011440-2 3.876328-2 2.410711-2 4.258762-2 1.972004-2 4.696723-2 1.598485-2 5.177095-2 1.295521-2 5.744971-2 1.034887-2 6.386548-2 8.219918-3 6.998420-2 6.734319-3 7.684105-2 5.493526-3 8.358865-2 4.571379-3 9.137814-2 3.760788-3 9.926452-2 3.136505-3 1.083927-1 2.585548-3 1.206253-1 2.044524-3 1.308217-1 1.712457-3 1.457016-1 1.355630-3 1.605507-1 1.098556-3 1.739155-1 9.259518-4 1.941139-1 7.326541-4 2.122585-1 6.062656-4 2.333920-1 4.972215-4 2.596421-1 3.994960-4 2.821934-1 3.374844-4 3.098258-1 2.803840-4 3.411110-1 2.328518-4 3.758374-1 1.940021-4 4.219512-1 1.572181-4 4.708164-1 1.299984-4 5.217951-1 1.096561-4 5.871513-1 9.115255-5 6.605081-1 7.675174-5 7.536967-1 6.426319-5 8.773269-1 5.347952-5 1.022000+0 4.533093-5 1.228714+0 3.765805-5 1.477239+0 3.128390-5 1.776032+0 2.598867-5 2.135261+0 2.158973-5 2.567148+0 1.793537-5 3.086391+0 1.489956-5 3.710658+0 1.237761-5 4.461192+0 1.028253-5 5.363532+0 8.542068-6 6.448384+0 7.096205-6 7.752663+0 5.895075-6 9.320751+0 4.897252-6 9.760024+0 4.675395-6 1.000000+1 9.169633-6 1 16000 7 0 3.206400+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-1.599756+1 3.010068-6-1.596452+1 5.692240-6-1.550765+1 6.369454-6-1.469575+1 6.604836-6-1.366593+1 6.696141-6-1.263132+1 6.741101-6-1.150420+1 6.816040-6-8.363690+0 6.832639-6-7.917514+0 6.851314-6-7.948353+0 6.867349-6-8.544348+0 6.876731-6-9.203902+0 6.894368-6-1.093687+1 6.927048-6-1.497996+1 6.945496-6-1.722810+1 6.982243-6-1.409138+1 7.009663-6-1.277230+1 7.039985-6-1.205243+1 7.072422-6-1.221831+1 7.180469-6-1.563348+1 7.269253-6-1.697550+1 7.321673-6-1.744517+1 7.769816-6-1.569479+1 8.109153-6-1.427063+1 8.280056-6-1.290147+1 8.378742-6-1.147429+1 8.429360-6-1.028870+1 8.465796-6-8.983422+0 8.482709-6-8.002350+0 8.503588-6-6.724676+0 8.524467-6-5.444843+0 8.545346-6-3.949423+0 8.566225-6-2.431194+0 8.568889-6-2.208770+0 8.576881-6-1.674731+0 8.587104-6-1.079689+0 8.591104-6-8.822241-1 8.598104-6-7.049117-1 8.603354-6-6.520045-1 8.611228-6-6.715081-1 8.619103-6-7.672880-1 8.622933-6-8.461322-1 8.629635-6-1.108953+0 8.634662-6-1.385538+0 8.638432-6-1.637244+0 8.644087-6-2.092096+0 8.646914-6-2.360881+0 8.660181-6-3.921737+0 8.669316-6-5.228906+0 8.689216-6-8.705426+0 8.713032-6-1.366040+1 8.737483-6-1.879335+1 8.771366-6-1.316055+1 8.795368-6-1.017176+1 8.812867-6-8.801973+0 8.827197-6-8.111166+0 8.837654-6-7.861078+0 8.855923-6-7.817574+0 8.882467-6-8.454414+0 8.893545-6-8.987778+0 8.938405-6-1.206247+1 9.025123-6-1.696617+1 9.085516-6-1.938860+1 9.175350-6-1.591702+1 9.245769-6-1.272203+1 9.274203-6-1.192717+1 9.302602-6-1.188397+1 9.328622-6-1.262539+1 9.351601-6-1.407806+1 9.393084-6-1.767427+1 9.421219-6-2.020048+1 9.459338-6-1.781017+1 9.500253-6-1.700766+1 9.532556-6-1.765371+1 9.600283-6-2.079942+1 9.646679-6-1.966349+1 9.695163-6-2.000056+1 9.768784-6-2.155796+1 9.873417-6-2.140673+1 1.015142-5-2.320704+1 1.030390-5-2.563984+1 1.034981-5-2.698169+1 1.041416-5-2.134366+1 1.046352-5-1.566061+1 1.050715-5-1.197857+1 1.053339-5-1.078351+1 1.055454-5-1.078910+1 1.057472-5-1.162502+1 1.059275-5-1.311987+1 1.060330-5-1.447601+1 1.062776-5-1.846966+1 1.064802-5-2.245499+1 1.069900-5-9.677438+0 1.070614-5-7.786068+0 1.071457-5-5.987520+0 1.073225-5-2.463927+0 1.073524-5-1.907751+0 1.074046-5-1.039802+0 1.074829-5 1.126582-1 1.075613-5 1.171030+0 1.075931-5 1.578497+0 1.076528-5 2.225799+0 1.077051-5 2.711867+0 1.077965-5 3.408308+0 1.078651-5 3.809055+0 1.079165-5 4.039514+0 1.080322-5 4.316264+0 1.081981-5 4.149616+0 1.082618-5 4.021989+0 1.083255-5 3.781769+0 1.084865-5 2.969799+0 1.085402-5 2.551118+0 1.085802-5 2.175835+0 1.087972-5 5.162546-1 1.088294-5 2.304516-1 1.091185-5-1.859119+0 1.092149-5-2.447526+0 1.095041-5-4.112843+0 1.096292-5-5.075284+0 1.097507-5-5.736182+0 1.099931-5-6.715012+0 1.103549-5-7.755477+0 1.109538-5-8.909602+0 1.119000-5-1.001507+1 1.135224-5-1.096106+1 1.162044-5-1.147146+1 1.212460-5-1.127889+1 1.400539-5-8.801585+0 1.490454-5-8.008136+0 1.607252-5-7.545391+0 1.759494-5-7.588770+0 2.545715-5-9.787354+0 3.177125-5-1.072310+1 4.365158-5-1.135102+1 9.885531-5-1.183369+1 1.257925-4-1.280682+1 1.439416-4-1.421069+1 1.559716-4-1.602048+1 1.625841-4-1.789973+1 1.660669-4-1.977488+1 1.716550-4-2.475760+1 1.735000-4-2.474750+1 1.769500-4-2.143593+1 1.802894-4-1.876995+1 1.853692-4-1.631138+1 1.926341-4-1.408828+1 2.032342-4-1.209246+1 2.089112-4-1.161579+1 2.117544-4-1.204015+1 2.126196-4-1.210276+1 2.138906-4-1.197290+1 2.144476-4-1.176018+1 2.157614-4-1.017983+1 2.168952-4-8.835076+0 2.178921-4-8.346643+0 2.187721-4-8.406416+0 2.219051-4-9.453525+0 2.235292-4-9.486484+0 2.318572-4-8.264574+0 2.470853-4-6.884499+0 2.691535-4-5.390088+0 2.915879-4-4.211179+0 3.144808-4-3.276485+0 3.376599-4-2.592479+0 3.628389-4-2.057940+0 3.841078-4-1.718385+0 4.043919-4-1.464106+0 4.217245-4-1.285372+0 4.460412-4-1.092568+0 4.702662-4-9.470786-1 5.010057-4-8.180909-1 5.500477-4-6.785929-1 5.863069-4-6.112790-1 6.355138-4-5.627496-1 7.033760-4-5.440423-1 7.810445-4-5.641637-1 8.859111-4-6.256641-1 1.160991-3-8.548298-1 1.598166-3-1.278074+0 1.798235-3-1.518374+0 1.988941-3-1.821549+0 2.128881-3-2.143108+0 2.231628-3-2.496987+0 2.301477-3-2.863680+0 2.352387-3-3.278658+0 2.386929-3-3.735613+0 2.410313-3-4.277488+0 2.445477-3-5.544307+0 2.458482-3-5.644723+0 2.471967-3-5.325087+0 2.504431-3-4.041339+0 2.527084-3-3.465392+0 2.556676-3-2.976619+0 2.604525-3-2.434489+0 2.655832-3-2.022622+0 2.719584-3-1.649471+0 2.790626-3-1.336525+0 2.891360-3-1.001998+0 2.976894-3-7.877708-1 3.058483-3-6.233220-1 3.156643-3-4.613344-1 3.234762-3-3.546685-1 3.322931-3-2.522181-1 3.370475-3-2.030172-1 3.476707-3-1.094779-1 3.526883-3-7.018766-2 3.624548-3-2.458928-3 3.633449-3 3.741746-3 3.707949-3 4.733074-2 3.800398-3 9.635852-2 3.901665-3 1.437340-1 4.001175-3 1.830173-1 4.194646-3 2.420903-1 4.432816-3 2.953919-1 4.659558-3 3.292406-1 5.140217-3 3.719114-1 5.726785-3 3.859841-1 6.604335-3 3.766362-1 1.074402-2 2.478253-1 1.265673-2 2.015057-1 1.497178-2 1.589803-1 1.695791-2 1.312311-1 1.971534-2 1.022787-1 2.223742-2 8.248687-2 2.521248-2 6.468801-2 2.843741-2 5.019718-2 3.127550-2 4.030997-2 3.376243-2 3.325029-2 3.696174-2 2.587937-2 4.067086-2 1.906208-2 4.388362-2 1.431109-2 4.696723-2 1.051640-2 4.967273-2 7.656717-3 5.288858-2 4.722630-3 5.518418-2 2.886184-3 5.605000-2 2.239541-3 5.744971-2 1.261025-3 5.888834-2 3.189058-4 5.945545-2-3.211662-5 6.021262-2-4.982548-4 6.150211-2-1.251175-3 6.386548-2-2.532173-3 6.704129-2-4.059882-3 7.147920-2-5.903412-3 7.684105-2-7.755285-3 8.358865-2-9.644894-3 9.416638-2-1.189583-2 1.083927-1-1.402099-2 1.308217-1-1.616247-2 1.651977-1-1.799311-2 2.333920-1-1.963508-2 3.758374-1-2.071513-2 1.022000+0-2.130135-2 3.086391+0-2.138295-2 9.320751+0-2.139190-2 1.000000+1-2.139030-2 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.246328-5 1.093478-6 3.300205-5 1.161821-6 4.063291-5 1.200000-6 4.495696-5 1.234434-6 5.090762-5 1.311586-6 6.474382-5 1.350000-6 7.174789-5 1.393561-6 8.255589-5 1.437109-6 9.362122-5 1.482019-6 1.049577-4 1.518750-6 1.146410-4 1.576093-6 1.345442-4 1.625345-6 1.521306-4 1.708594-6 1.822491-4 1.782533-6 2.185401-4 1.838237-6 2.464410-4 1.922168-6 2.889842-4 2.016013-6 3.538998-4 2.079014-6 3.984334-4 2.162439-6 4.589037-4 2.210982-6 5.058810-4 2.280076-6 5.755711-4 2.351328-6 6.463830-4 2.432744-6 7.275823-4 2.500582-6 8.116925-4 2.584790-6 9.193805-4 2.659311-6 1.029518-3 2.746340-6 1.160602-3 2.828114-6 1.302884-3 2.917986-6 1.461747-3 3.007633-6 1.644712-3 3.101622-6 1.839113-3 3.198548-6 2.070142-3 3.298502-6 2.311118-3 3.401580-6 2.595565-3 3.500016-6 2.865984-3 3.617501-6 3.240292-3 3.718767-6 3.556698-3 3.847128-6 4.022632-3 3.967350-6 4.452237-3 4.096000-6 4.976938-3 4.198139-6 5.384171-3 4.351034-6 6.086641-3 4.460523-6 6.554253-3 4.609201-6 7.286240-3 4.739306-6 7.854417-3 4.851485-6 8.429035-3 4.966979-6 8.933441-3 5.035512-6 9.200913-3 5.192872-6 9.871971-3 5.292252-6 1.023867-2 5.393972-6 1.056464-2 5.522498-6 1.091513-2 5.587974-6 1.106075-2 5.695076-6 1.121412-2 5.770041-6 1.128449-2 5.873047-6 1.123915-2 6.024983-6 1.099472-2 6.056579-6 1.090406-2 6.182626-6 1.043379-2 6.236011-6 1.015016-2 6.330417-6 9.569665-3 6.412295-6 8.929452-3 6.468971-6 8.437372-3 6.584510-6 7.254450-3 6.598865-6 7.093771-3 6.720641-6 5.609905-3 6.751344-6 5.207180-3 6.834806-6 4.085666-3 6.899391-6 3.206559-3 6.941836-6 2.644167-3 7.042176-6 1.408586-3 7.052485-6 1.294620-3 7.069535-6 1.114647-3 7.136245-6 5.393091-4 7.200795-6 2.463119-4 7.221212-6 2.253009-4 7.224434-6 2.256489-4 7.307112-6 6.459381-4 7.384623-6 2.015718-3 7.457289-6 4.580868-3 7.488146-6 6.168418-3 7.525413-6 8.579079-3 7.589280-6 1.427689-2 7.649155-6 2.200267-2 7.705288-6 3.207300-2 7.757912-6 4.474065-2 7.807248-6 6.028854-2 7.853500-6 7.909776-2 8.048881-6 2.409516-1 8.076249-6 2.817076-1 8.105688-6 3.338860-1 8.133288-6 3.924850-1 8.159162-6 4.579351-1 8.183419-6 5.306285-1 8.206161-6 6.109340-1 8.227481-6 6.992254-1 8.267455-6 9.090868-1 8.302433-6 1.159525+0 8.333039-6 1.456735+0 8.359819-6 1.808356+0 8.383252-6 2.222019+0 8.403755-6 2.702816+0 8.421696-6 3.250934+0 8.437394-6 3.860633+0 8.451130-6 4.520848+0 8.463148-6 5.216914+0 8.473665-6 5.932647+0 8.490918-6 7.361389+0 8.533905-6 1.268764+1 8.549909-6 1.545595+1 8.561415-6 1.774071+1 8.568318-6 1.923223+1 8.578837-6 2.167803+1 8.589356-6 2.432678+1 8.610394-6 3.017565+1 8.613023-6 3.095176+1 8.631432-6 3.659148+1 8.638664-6 3.887609+1 8.652470-6 4.326864+1 8.660108-6 4.568004+1 8.671024-6 4.904869+1 8.678041-6 5.113784+1 8.688874-6 5.419594+1 8.695551-6 5.595454+1 8.704316-6 5.808585+1 8.714175-6 6.020614+1 8.718214-6 6.098029+1 8.727418-6 6.252135+1 8.737937-6 6.387488+1 8.742868-6 6.435112+1 8.753962-6 6.503852+1 8.758317-6 6.516043+1 8.779355-6 6.457268+1 8.789450-6 6.361912+1 8.800120-6 6.217157+1 8.809059-6 6.063919+1 8.819680-6 5.847958+1 8.828086-6 5.654227+1 8.834646-6 5.490959+1 8.844022-6 5.242142+1 8.850049-6 5.074206+1 8.859552-6 4.799618+1 8.870199-6 4.482065+1 8.880466-6 4.170618+1 8.887624-6 3.952766+1 8.898830-6 3.614008+1 8.906836-6 3.375849+1 8.916864-6 3.084519+1 8.923557-6 2.895494+1 8.929418-6 2.734033+1 8.938210-6 2.499798+1 8.949632-6 2.211153+1 8.957686-6 2.019064+1 8.968040-6 1.786739+1 8.974810-6 1.644013+1 8.990263-6 1.345913+1 9.001853-6 1.147699+1 9.011060-6 1.005547+1 9.023085-6 8.398474+0 9.027093-6 7.895059+0 9.048470-6 5.602425+0 9.084210-6 3.082618+0 9.091225-6 2.752655+0 9.101913-6 2.337769+0 9.107257-6 2.167002+0 9.113654-6 1.992125+0 9.119936-6 1.849436+0 9.124086-6 1.769880+0 9.128204-6 1.701775+0 9.132289-6 1.644263+0 9.136343-6 1.596532+0 9.144387-6 1.527167+0 9.152305-6 1.488458+0 9.160099-6 1.475328+0 9.167772-6 1.483290+0 9.175325-6 1.508395+0 9.182759-6 1.547185+0 9.190078-6 1.596644+0 9.204374-6 1.717431+0 9.218227-6 1.853805+0 9.238204-6 2.061414+0 9.257260-6 2.249372+0 9.281307-6 2.445269+0 9.304855-6 2.573133+0 9.335416-6 2.632711+0 9.364101-6 2.587619+0 9.390451-6 2.479984+0 9.436340-6 2.207339+0 9.463191-6 2.029962+0 9.486686-6 1.876495+0 9.537842-6 1.566181+0 9.611318-6 1.187933+0 9.656488-6 9.890354-1 9.680256-6 8.929195-1 9.704024-6 8.021195-1 9.727792-6 7.162974-1 9.751561-6 6.351966-1 9.775329-6 5.586471-1 9.799097-6 4.865739-1 9.841190-6 3.700791-1 9.870402-6 2.980980-1 9.894170-6 2.454319-1 9.917938-6 1.986559-1 9.941706-6 1.585146-1 9.987086-6 1.040226-1 1.001734-5 8.785622-2 1.005217-5 9.544947-2 1.006271-5 1.044886-1 1.008540-5 1.368035-1 1.010808-5 1.898545-1 1.015584-5 3.929298-1 1.017994-5 5.604910-1 1.020405-5 7.900698-1 1.022816-5 1.103127+0 1.030139-5 2.972063+0 1.032329-5 4.001729+0 1.039793-5 1.108636+1 1.042495-5 1.589794+1 1.043785-5 1.880839+1 1.045477-5 2.333433+1 1.047245-5 2.901971+1 1.048823-5 3.500049+1 1.049732-5 3.886291+1 1.051271-5 4.611564+1 1.052426-5 5.215395+1 1.053455-5 5.796876+1 1.054906-5 6.682724+1 1.055712-5 7.206675+1 1.057968-5 8.779356+1 1.058290-5 9.014878+1 1.060547-5 1.071536+2 1.061433-5 1.139803+2 1.062279-5 1.205039+2 1.063125-5 1.269855+2 1.064443-5 1.368758+2 1.064981-5 1.408025+2 1.065923-5 1.474589+2 1.067159-5 1.556670+2 1.068450-5 1.634291+2 1.070057-5 1.716500+2 1.071202-5 1.763682+2 1.072403-5 1.801694+2 1.073539-5 1.826041+2 1.076723-5 1.830157+2 1.077959-5 1.805961+2 1.079211-5 1.767346+2 1.080268-5 1.724336+2 1.082416-5 1.610738+2 1.083454-5 1.545100+2 1.084417-5 1.479146+2 1.085497-5 1.400317+2 1.086013-5 1.361257+2 1.087560-5 1.240139+2 1.088292-5 1.181511+2 1.088991-5 1.125229+2 1.089690-5 1.068945+2 1.090835-5 9.774693+1 1.091571-5 9.196252+1 1.092308-5 8.628753+1 1.092962-5 8.135600+1 1.093944-5 7.419487+1 1.094925-5 6.735952+1 1.096001-5 6.029244+1 1.097412-5 5.174748+1 1.099057-5 4.290509+1 1.100950-5 3.425001+1 1.103236-5 2.591637+1 1.105848-5 1.897846+1 1.106746-5 1.715662+1 1.107603-5 1.565632+1 1.108461-5 1.437138+1 1.108930-5 1.375279+1 1.109466-5 1.311595+1 1.111073-5 1.161072+1 1.112212-5 1.087436+1 1.112852-5 1.056797+1 1.113328-5 1.038734+1 1.113957-5 1.020768+1 1.114699-5 1.007826+1 1.115484-5 1.003505+1 1.116075-5 1.006439+1 1.119200-5 1.108387+1 1.121941-5 1.321592+1 1.122112-5 1.338996+1 1.124858-5 1.687153+1 1.128923-5 2.443725+1 1.130346-5 2.770524+1 1.131261-5 2.994411+1 1.132631-5 3.346062+1 1.134028-5 3.718297+1 1.135150-5 4.022441+1 1.135824-5 4.205120+1 1.137211-5 4.577225+1 1.138425-5 4.892564+1 1.138772-5 4.980078+1 1.140073-5 5.295045+1 1.141293-5 5.567459+1 1.141461-5 5.603004+1 1.144303-5 6.119920+1 1.145337-5 6.264996+1 1.147127-5 6.459487+1 1.148647-5 6.569529+1 1.149519-5 6.611254+1 1.151251-5 6.653055+1 1.152670-5 6.652832+1 1.155011-5 6.604422+1 1.159141-5 6.464033+1 1.162421-5 6.390598+1 1.164182-5 6.385529+1 1.167909-5 6.469787+1 1.169783-5 6.558513+1 1.172859-5 6.757081+1 1.180460-5 7.381664+1 1.184155-5 7.687621+1 1.193114-5 8.406775+1 1.195683-5 8.643155+1 1.198758-5 8.978320+1 1.201696-5 9.379277+1 1.204544-5 9.872542+1 1.207599-5 1.055156+2 1.210375-5 1.133598+2 1.213210-5 1.233361+2 1.215429-5 1.327063+2 1.217286-5 1.416888+2 1.219148-5 1.517798+2 1.223071-5 1.765575+2 1.227691-5 2.111237+2 1.229522-5 2.259732+2 1.232001-5 2.465561+2 1.233550-5 2.594232+2 1.235777-5 2.774642+2 1.236734-5 2.849261+2 1.238138-5 2.954018+2 1.239483-5 3.047818+2 1.240677-5 3.124558+2 1.242000-5 3.201200+2 1.243431-5 3.272805+2 1.244598-5 3.321545+2 1.246155-5 3.371754+2 1.247269-5 3.396615+2 1.248943-5 3.415688+2 1.250491-5 3.413111+2 1.251097-5 3.406747+2 1.254130-5 3.329979+2 1.254490-5 3.316037+2 1.257198-5 3.180645+2 1.258049-5 3.127816+2 1.260033-5 2.988059+2 1.261227-5 2.894405+2 1.262366-5 2.799502+2 1.264312-5 2.627861+2 1.266254-5 2.449068+2 1.267876-5 2.297632+2 1.269962-5 2.104842+2 1.271969-5 1.925862+2 1.277497-5 1.495488+2 1.280515-5 1.311013+2 1.281298-5 1.269458+2 1.283533-5 1.164873+2 1.285042-5 1.105570+2 1.286551-5 1.054791+2 1.288102-5 1.010824+2 1.289650-5 9.744789+1 1.291196-5 9.449394+1 1.292738-5 9.213690+1 1.294278-5 9.029590+1 1.295814-5 8.889481+1 1.297704-5 8.766960+1 1.298881-5 8.713818+1 1.301936-5 8.639534+1 1.304979-5 8.630653+1 1.308010-5 8.661720+1 1.314036-5 8.782222+1 1.340000-5 9.429148+1 1.360665-5 9.902177+1 1.382954-5 1.036127+2 1.404595-5 1.077097+2 1.430000-5 1.120335+2 1.455807-5 1.158468+2 1.481747-5 1.190970+2 1.508013-5 1.218139+2 1.533750-5 1.238734+2 1.567500-5 1.256898+2 1.600000-5 1.265151+2 1.629084-5 1.264556+2 1.654286-5 1.258811+2 1.680000-5 1.248957+2 1.700262-5 1.238397+2 1.723590-5 1.223455+2 1.747921-5 1.205211+2 1.773891-5 1.182682+2 1.796701-5 1.161011+2 1.843200-5 1.112091+2 1.900381-5 1.047896+2 1.962382-5 9.769510+1 2.040616-5 8.897882+1 2.144375-5 7.836879+1 2.304000-5 6.485348+1 2.345594-5 6.179095+1 2.518444-5 5.141312+1 2.644977-5 4.557179+1 2.785606-5 4.037598+1 2.930000-5 3.613878+1 3.076432-5 3.271128+1 3.199108-5 3.036493+1 3.366526-5 2.777278+1 3.519375-5 2.588864+1 3.672823-5 2.435230+1 3.801894-5 2.328183+1 3.900000-5 2.258688+1 4.073803-5 2.155031+1 4.180000-5 2.103018+1 4.350000-5 2.033929+1 4.595862-5 1.959072+1 4.915200-5 1.894635+1 5.150000-5 1.864621+1 5.400000-5 1.845777+1 5.706250-5 1.836226+1 6.000000-5 1.836851+1 6.309573-5 1.844217+1 7.000000-5 1.874584+1 7.680000-5 1.905664+1 8.462526-5 1.929779+1 8.814855-5 1.934345+1 9.365783-5 1.929230+1 9.951145-5 1.913536+1 1.053651-4 1.887032+1 1.116915-4 1.840134+1 1.181681-4 1.774228+1 1.230188-4 1.714270+1 1.291963-4 1.623912+1 1.355539-4 1.514894+1 1.403978-4 1.419808+1 1.460404-4 1.295802+1 1.510831-4 1.173984+1 1.542092-4 1.092842+1 1.571399-4 1.012874+1 1.609507-4 9.038475+0 1.636794-4 8.223428+0 1.664371-4 7.373584+0 1.683547-4 6.771495+0 1.699657-4 6.258980+0 1.724100-4 5.472985+0 1.739076-4 4.990503+0 1.767619-4 4.077521+0 1.781475-4 3.642347+0 1.795907-4 3.200116+0 1.811958-4 2.726250+0 1.820659-4 2.479869+0 1.836382-4 2.059653+0 1.842316-4 1.911351+0 1.861267-4 1.486035+0 1.877848-4 1.190673+0 1.892357-4 1.011446+0 1.893279-4 1.003103+0 1.905053-4 9.346574-1 1.907995-4 9.298736-1 1.911735-4 9.318761-1 1.916161-4 9.469115-1 1.921122-4 9.817002-1 1.925881-4 1.034780+0 1.932138-4 1.137547+0 1.942891-4 1.417078+0 1.955648-4 1.964027+0 1.959250-4 2.172012+0 1.965216-4 2.580653+0 1.972756-4 3.233854+0 1.979568-4 3.988003+0 1.985404-4 4.789822+0 1.992517-4 6.012575+0 1.997338-4 7.030845+0 2.007230-4 9.741658+0 2.017527-4 1.375260+1 2.035517-4 2.514635+1 2.043104-4 3.222870+1 2.049367-4 3.929689+1 2.055546-4 4.739209+1 2.060534-4 5.471819+1 2.065738-4 6.303894+1 2.069752-4 6.985842+1 2.074341-4 7.797660+1 2.077924-4 8.447219+1 2.080862-4 8.984754+1 2.083669-4 9.498132+1 2.086962-4 1.009537+2 2.089181-4 1.049174+2 2.092380-4 1.105046+2 2.096200-4 1.169169+2 2.099998-4 1.229403+2 2.104000-4 1.288371+2 2.106788-4 1.326414+2 2.110399-4 1.371729+2 2.114000-4 1.412306+2 2.118392-4 1.455532+2 2.122417-4 1.489223+2 2.126252-4 1.516348+2 2.131114-4 1.544347+2 2.136351-4 1.567503+2 2.142347-4 1.586706+2 2.149245-4 1.601515+2 2.162348-4 1.616725+2 2.224999-4 1.647525+2 2.263343-4 1.654649+2 2.303961-4 1.650228+2 2.334550-4 1.638310+2 2.376448-4 1.611869+2 2.428655-4 1.570586+2 2.476601-4 1.524296+2 2.486890-4 1.517233+2 2.493698-4 1.515873+2 2.500415-4 1.518602+2 2.507804-4 1.527734+2 2.515824-4 1.546138+2 2.522736-4 1.569118+2 2.544274-4 1.662548+2 2.551586-4 1.689083+2 2.559319-4 1.706538+2 2.564258-4 1.710481+2 2.569096-4 1.708508+2 2.577087-4 1.693219+2 2.581923-4 1.677767+2 2.587197-4 1.657002+2 2.608481-4 1.562830+2 2.618366-4 1.529914+2 2.623268-4 1.518443+2 2.630402-4 1.507874+2 2.638671-4 1.504214+2 2.647215-4 1.508593+2 2.655145-4 1.518137+2 2.681041-4 1.563716+2 2.699951-4 1.593278+2 2.720490-4 1.615909+2 2.766399-4 1.648274+2 2.832379-4 1.684301+2 2.905865-4 1.717374+2 3.052470-4 1.769404+2 3.308895-4 1.841399+2 3.533672-4 1.889045+2 3.752969-4 1.919752+2 4.097321-4 1.940881+2 4.458407-4 1.947760+2 4.844337-4 1.947462+2 5.356810-4 1.935656+2 5.982713-4 1.911249+2 6.805367-4 1.873325+2 9.128212-4 1.757175+2 1.052929-3 1.694186+2 1.186518-3 1.622673+2 1.286099-3 1.574588+2 1.459736-3 1.490916+2 1.577766-3 1.438295+2 1.637365-3 1.411621+2 1.839255-3 1.315768+2 1.912845-3 1.281953+2 2.065360-3 1.206043+2 2.147647-3 1.165883+2 2.220860-3 1.128089+2 2.289297-3 1.091627+2 2.339357-3 1.063976+2 2.388209-3 1.035839+2 2.435668-3 1.007000+2 2.482156-3 9.764847+1 2.518193-3 9.510091+1 2.549551-3 9.271703+1 2.574902-3 9.064488+1 2.596802-3 8.872207+1 2.619279-3 8.658101+1 2.639498-3 8.446728+1 2.659529-3 8.214530+1 2.675108-3 8.013149+1 2.686775-3 7.846407+1 2.702251-3 7.596562+1 2.715554-3 7.346410+1 2.725583-3 7.130293+1 2.736955-3 6.853679+1 2.748812-3 6.535076+1 2.769176-3 5.989704+1 2.777133-3 5.818884+1 2.783687-3 5.714505+1 2.789489-3 5.656782+1 2.795786-3 5.636242+1 2.801539-3 5.658230+1 2.806087-3 5.703297+1 2.809400-3 5.750997+1 2.813670-3 5.829835+1 2.817742-3 5.921703+1 2.825332-3 6.129360+1 2.851180-3 7.006240+1 2.862725-3 7.386106+1 2.869884-3 7.599924+1 2.876600-3 7.783079+1 2.885392-3 7.997601+1 2.894375-3 8.189662+1 2.901328-3 8.321950+1 2.912736-3 8.513530+1 2.924027-3 8.678458+1 2.939969-3 8.880127+1 2.956558-3 9.060574+1 2.973872-3 9.223521+1 2.992868-3 9.377799+1 3.013440-3 9.521436+1 3.054921-3 9.753970+1 3.110386-3 9.981786+1 3.166074-3 1.014454+2 3.220116-3 1.025683+2 3.296611-3 1.035735+2 3.412911-3 1.041791+2 3.531961-3 1.040486+2 3.709544-3 1.029991+2 3.866278-3 1.015489+2 4.118659-3 9.865972+1 4.361888-3 9.561574+1 4.720274-3 9.099841+1 5.225465-3 8.461107+1 5.907969-3 7.685139+1 6.512534-3 7.081942+1 7.276443-3 6.418653+1 8.030745-3 5.847586+1 9.015711-3 5.205218+1 1.002797-2 4.637545+1 1.074402-2 4.282894+1 1.152210-2 3.935694+1 1.276546-2 3.451055+1 1.404083-2 3.032885+1 1.551891-2 2.630756+1 1.773290-2 2.159987+1 2.072998-2 1.701565+1 2.534165-2 1.242621+1 3.325901-2 8.055455+0 3.939882-2 6.119151+0 4.741825-2 4.493151+0 5.467799-2 3.522701+0 6.390336-2 2.677125+0 7.672822-2 1.925020+0 1.027277-1 1.123949+0 1.255772-1 7.705777-1 1.672623-1 4.459780-1 2.245641-1 2.522375-1 3.102376-1 1.339253-1 4.795100-1 5.658898-2 1.022000+0 1.252757-2 3.086391+0 1.375622-3 9.320751+0 1.508582-4 2.814822+1 1.654156-5 8.500626+1 1.813750-6 2.567148+2 1.988737-7 7.752663+2 2.180607-8 2.511886+3 2.077204-9 7.943282+3 2.07720-10 2.511886+4 2.07720-11 7.943282+4 2.07720-12 1.000000+5 1.31063-12 1 17000 7 7 3.545300+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 5.689300-7 1.258900-6 9.016900-7 1.584900-6 1.429100-6 1.995300-6 2.264900-6 2.511900-6 3.589700-6 3.162300-6 5.689200-6 3.981100-6 9.016800-6 5.011900-6 1.429100-5 6.309600-6 2.264900-5 7.943300-6 3.589600-5 1.000000-5 5.689000-5 1.258900-5 9.016400-5 1.584900-5 1.429000-4 1.995300-5 2.264700-4 2.511900-5 3.589200-4 3.162300-5 5.688300-4 3.981100-5 9.015000-4 5.011900-5 1.428700-3 6.309600-5 2.264200-3 7.943300-5 3.587800-3 1.000000-4 5.682500-3 1.258900-4 9.000200-3 1.584900-4 1.424100-2 1.995300-4 2.252900-2 2.511900-4 3.561100-2 3.162300-4 5.618300-2 3.981100-4 8.840500-2 5.011900-4 1.384900-1 6.309600-4 2.155800-1 7.943300-4 3.321300-1 1.000000-3 5.044400-1 1.258900-3 7.507200-1 1.584900-3 1.087000+0 1.995300-3 1.521100+0 2.511900-3 2.048600+0 3.162300-3 2.652500+0 3.981100-3 3.304700+0 5.011900-3 3.968600+0 6.309600-3 4.615900+0 7.943300-3 5.261200+0 1.000000-2 5.902200+0 1.258900-2 6.571200+0 1.584900-2 7.190500+0 1.995300-2 7.716100+0 2.511900-2 8.116800+0 3.162300-2 8.390200+0 3.981100-2 8.546900+0 5.011900-2 8.587800+0 6.309600-2 8.519100+0 7.943300-2 8.335500+0 1.000000-1 8.053100+0 1.258900-1 7.694300+0 1.584900-1 7.276800+0 1.995300-1 6.819300+0 2.511900-1 6.339400+0 3.162300-1 5.851400+0 3.981100-1 5.366700+0 5.011900-1 4.892700+0 6.309600-1 4.434600+0 7.943300-1 3.999300+0 1.000000+0 3.585200+0 1.258900+0 3.194500+0 1.584900+0 2.828900+0 1.995300+0 2.489600+0 2.511900+0 2.177400+0 3.162300+0 1.892700+0 3.981100+0 1.635800+0 5.011900+0 1.405800+0 6.309600+0 1.202000+0 7.943300+0 1.022800+0 1.000000+1 8.664700-1 1.258900+1 7.311000-1 1.584900+1 6.146400-1 1.995300+1 5.150100-1 2.511900+1 4.302500-1 3.162300+1 3.584700-1 3.981100+1 2.979300-1 5.011900+1 2.470700-1 6.309600+1 2.044900-1 7.943300+1 1.689300-1 1.000000+2 1.393300-1 1.258900+2 1.147400-1 1.584900+2 9.435900-2 1.995300+2 7.750000-2 2.511900+2 6.357900-2 3.162300+2 5.210100-2 3.981100+2 4.265300-2 5.011900+2 3.488600-2 6.309600+2 2.850800-2 7.943300+2 2.327700-2 1.000000+3 1.899100-2 1.258900+3 1.548300-2 1.584900+3 1.261500-2 1.995300+3 1.027100-2 2.511900+3 8.357600-3 3.162300+3 6.796800-3 3.981100+3 5.524400-3 5.011900+3 4.487900-3 6.309600+3 3.644000-3 7.943300+3 2.957400-3 1.000000+4 2.399000-3 1.258900+4 1.945300-3 1.584900+4 1.576700-3 1.995300+4 1.277400-3 2.511900+4 1.034500-3 3.162300+4 8.375200-4 3.981100+4 6.777900-4 5.011900+4 5.483400-4 6.309600+4 4.434600-4 7.943300+4 3.585200-4 1.000000+5 2.897700-4 1 17000 7 7 3.545300+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510160-4 3.162278-4 3.159544-4 3.981072-4 3.976745-4 5.011872-4 5.005027-4 6.309573-4 6.298753-4 7.943282-4 7.926164-4 1.000000-3 9.973089-4 1.258925-3 1.254696-3 1.584893-3 1.578269-3 1.995262-3 1.984928-3 2.511886-3 2.495810-3 3.162278-3 3.137381-3 3.981072-3 3.942669-3 5.011872-3 4.952715-3 6.309573-3 6.218416-3 7.943282-3 7.802718-3 1.000000-2 9.781875-3 1.258925-2 1.225128-2 1.584893-2 1.532597-2 1.995262-2 1.914837-2 2.511886-2 2.388888-2 3.162278-2 2.975034-2 3.981072-2 3.696813-2 5.011872-2 4.582814-2 6.309573-2 5.664537-2 7.943282-2 6.981780-2 1.000000-1 8.578568-2 1.258925-1 1.050539-1 1.584893-1 1.281893-1 1.995262-1 1.558908-1 2.511886-1 1.889053-1 3.162278-1 2.281279-1 3.981072-1 2.745714-1 5.011872-1 3.294266-1 6.309573-1 3.940430-1 7.943282-1 4.700425-1 1.000000+0 5.595057-1 1.258925+0 6.648817-1 1.584893+0 7.892301-1 1.995262+0 9.363154-1 2.511886+0 1.110846+0 3.162278+0 1.318527+0 3.981072+0 1.566448+0 5.011872+0 1.863205+0 6.309573+0 2.219358+0 7.943282+0 2.647834+0 1.000000+1 3.164402+0 1.258925+1 3.788376+0 1.584893+1 4.543536+0 1.995262+1 5.458685+0 2.511886+1 6.569414+0 3.162278+1 7.919357+0 3.981072+1 9.561804+0 5.011872+1 1.156256+1 6.309573+1 1.400218+1 7.943282+1 1.697977+1 1.000000+2 2.061713+1 1.258925+2 2.506439+1 1.584893+2 3.050602+1 1.995262+2 3.716922+1 2.511886+2 4.533435+1 3.162278+2 5.534690+1 3.981072+2 6.763130+1 5.011872+2 8.271464+1 6.309573+2 1.012441+2 7.943282+2 1.240200+2 1.000000+3 1.520282+2 1.258925+3 1.864948+2 1.584893+3 2.289233+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 17000 7 9 3.545300+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090665-8 7.943282-5 1.728418-8 1.000000-4 2.738844-8 1.258925-4 4.340195-8 1.584893-4 6.876146-8 1.995262-4 1.089507-7 2.511886-4 1.725951-7 3.162278-4 2.733323-7 3.981072-4 4.326720-7 5.011872-4 6.845459-7 6.309573-4 1.082000-6 7.943282-4 1.711830-6 1.000000-3 2.691116-6 1.258925-3 4.229133-6 1.584893-3 6.624661-6 1.995262-3 1.033445-5 2.511886-3 1.607610-5 3.162278-3 2.489621-5 3.981072-3 3.840249-5 5.011872-3 5.915699-5 6.309573-3 9.115767-5 7.943282-3 1.405643-4 1.000000-2 2.181251-4 1.258925-2 3.379715-4 1.584893-2 5.229661-4 1.995262-2 8.042578-4 2.511886-2 1.229986-3 3.162278-2 1.872442-3 3.981072-2 2.842586-3 5.011872-2 4.290587-3 6.309573-2 6.450368-3 7.943282-2 9.615027-3 1.000000-1 1.421432-2 1.258925-1 2.083868-2 1.584893-1 3.030004-2 1.995262-1 4.363541-2 2.511886-1 6.228335-2 3.162278-1 8.809990-2 3.981072-1 1.235357-1 5.011872-1 1.717607-1 6.309573-1 2.369144-1 7.943282-1 3.242858-1 1.000000+0 4.404943-1 1.258925+0 5.940437-1 1.584893+0 7.956631-1 1.995262+0 1.058947+0 2.511886+0 1.401041+0 3.162278+0 1.843750+0 3.981072+0 2.414624+0 5.011872+0 3.148667+0 6.309573+0 4.090215+0 7.943282+0 5.295449+0 1.000000+1 6.835598+0 1.258925+1 8.800878+0 1.584893+1 1.130540+1 1.995262+1 1.449394+1 2.511886+1 1.854945+1 3.162278+1 2.370342+1 3.981072+1 3.024891+1 5.011872+1 3.855617+1 6.309573+1 4.909356+1 7.943282+1 6.245306+1 1.000000+2 7.938287+1 1.258925+2 1.008282+2 1.584893+2 1.279833+2 1.995262+2 1.623570+2 2.511886+2 2.058543+2 3.162278+2 2.608809+2 3.981072+2 3.304759+2 5.011872+2 4.184726+2 6.309573+2 5.297133+2 7.943282+2 6.703083+2 1.000000+3 8.479718+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 1.229000-5 3.741930+7 1.242000-5 3.807803+7 1.242000-5 5.659007+7 1.260000-5 5.796466+7 1.273503-5 5.887309+7 1.288250-5 5.981928+7 1.295000-5 6.019944+7 1.312000-5 6.109512+7 1.318257-5 6.136942+7 1.340000-5 6.222575+7 1.348963-5 6.249305+7 1.367000-5 6.294501+7 1.370000-5 6.298970+7 1.396368-5 6.326531+7 1.400000-5 6.326943+7 1.420000-5 6.319106+7 1.430000-5 6.306439+7 1.445440-5 6.279154+7 1.455000-5 6.253766+7 1.470000-5 6.206987+7 1.485000-5 6.146369+7 1.500000-5 6.079085+7 1.515000-5 5.997863+7 1.530000-5 5.911653+7 1.540000-5 5.845511+7 1.560000-5 5.707839+7 1.570000-5 5.631731+7 1.590000-5 5.474774+7 1.600000-5 5.389995+7 1.621810-5 5.202420+7 1.630000-5 5.128109+7 1.650000-5 4.944924+7 1.660000-5 4.850034+7 1.680000-5 4.660594+7 1.690000-5 4.563562+7 1.710000-5 4.371210+7 1.720000-5 4.273787+7 1.740000-5 4.081991+7 1.750000-5 3.985191+7 1.778279-5 3.719827+7 1.785000-5 3.656844+7 1.819701-5 3.344903+7 1.863300-5 2.974444+7 1.905461-5 2.644599+7 1.950000-5 2.328255+7 2.000000-5 2.012416+7 2.065380-5 1.658789+7 2.137962-5 1.336760+7 2.213095-5 1.069661+7 2.300000-5 8.286967+6 2.400000-5 6.211851+6 2.484000-5 4.900334+6 2.484000-5 4.963976+6 2.517000-5 4.546639+6 2.540973-5 4.270260+6 2.570396-5 3.958726+6 2.600160-5 3.671771+6 2.630268-5 3.407508+6 2.670000-5 3.094506+6 2.700000-5 2.882249+6 2.730000-5 2.688399+6 2.740000-5 2.628670+6 2.754229-5 2.546438+6 2.786121-5 2.375815+6 2.830000-5 2.165351+6 2.851018-5 2.075300+6 2.884032-5 1.945883+6 2.900000-5 1.887232+6 2.920000-5 1.818940+6 2.930000-5 1.786675+6 2.951209-5 1.720705+6 2.985383-5 1.624939+6 3.000000-5 1.586311+6 3.020000-5 1.536752+6 3.040000-5 1.491561+6 3.060000-5 1.448248+6 3.080000-5 1.407962+6 3.100000-5 1.371321+6 3.126079-5 1.325670+6 3.135000-5 1.311052+6 3.162278-5 1.270403+6 3.170000-5 1.259205+6 3.190000-5 1.231842+6 3.230000-5 1.183786+6 3.235937-5 1.177240+6 3.245000-5 1.167223+6 3.280000-5 1.132953+6 3.300000-5 1.115140+6 3.311311-5 1.106196+6 3.330000-5 1.091467+6 3.350000-5 1.076994+6 3.388442-5 1.053119+6 3.400000-5 1.046626+6 3.427678-5 1.032719+6 3.450000-5 1.022619+6 3.485000-5 1.009676+6 3.500000-5 1.004834+6 3.507519-5 1.002292+6 3.540000-5 9.934432+5 3.555000-5 9.899153+5 3.590000-5 9.837397+5 3.610000-5 9.808940+5 3.650000-5 9.767287+5 3.672823-5 9.750891+5 3.715352-5 9.741987+5 3.730000-5 9.742665+5 3.770000-5 9.755164+5 3.801894-5 9.771709+5 3.830000-5 9.798647+5 3.850000-5 9.821624+5 3.880000-5 9.850576+5 3.900000-5 9.877639+5 3.970000-5 9.984820+5 3.981072-5 1.000553+6 4.000000-5 1.004401+6 4.073803-5 1.018030+6 4.150000-5 1.035142+6 4.180000-5 1.041375+6 4.315191-5 1.073874+6 4.350000-5 1.082027+6 4.500000-5 1.119105+6 4.677351-5 1.160591+6 4.841724-5 1.196980+6 4.900000-5 1.209187+6 5.080000-5 1.243466+6 5.150000-5 1.255738+6 5.308844-5 1.280358+6 5.400000-5 1.292901+6 5.559043-5 1.311608+6 5.650000-5 1.320644+6 5.688529-5 1.324127+6 5.800000-5 1.333056+6 5.900000-5 1.339257+6 6.000000-5 1.344574+6 6.070000-5 1.347679+6 6.165950-5 1.350367+6 6.309573-5 1.353275+6 6.400000-5 1.353013+6 6.606934-5 1.351034+6 6.683439-5 1.349132+6 6.918310-5 1.340227+6 7.000000-5 1.336052+6 7.079458-5 1.331508+6 7.244360-5 1.321392+6 7.328245-5 1.315315+6 7.500000-5 1.302125+6 7.585776-5 1.295276+6 7.673615-5 1.287413+6 7.943282-5 1.262703+6 8.035261-5 1.253675+6 8.317638-5 1.224441+6 8.500000-5 1.204774+6 8.609938-5 1.192751+6 8.810489-5 1.170874+6 9.000000-5 1.149499+6 9.332543-5 1.112705+6 9.549926-5 1.087976+6 9.900000-5 1.049336+6 1.020000-4 1.016701+6 1.023293-4 1.013153+6 1.060000-4 9.745089+5 1.083927-4 9.497247+5 1.135011-4 8.996065+5 1.161449-4 8.741938+5 1.230269-4 8.126537+5 1.244515-4 8.004371+5 1.273503-4 7.761292+5 1.318257-4 7.406439+5 1.350000-4 7.163438+5 1.428894-4 6.605785+5 1.450000-4 6.462700+5 1.540000-4 5.898671+5 1.566751-4 5.742195+5 1.584893-4 5.638285+5 1.659587-4 5.237177+5 1.698244-4 5.042072+5 1.757924-4 4.759319+5 1.800000-4 4.573041+5 1.840772-4 4.399558+5 1.950000-4 3.978363+5 1.972423-4 3.898250+5 2.018366-4 3.740477+5 2.077000-4 3.551363+5 2.077000-4 1.373668+6 2.077900-4 1.412730+6 2.080700-4 1.555821+6 2.083000-4 1.679737+6 2.085200-4 1.804087+6 2.088200-4 1.980485+6 2.091000-4 2.150693+6 2.094000-4 2.336419+6 2.094800-4 2.385241+6 2.094800-4 2.887921+6 2.095600-4 2.955845+6 2.096200-4 3.008663+6 2.097000-4 3.049448+6 2.098000-4 3.128817+6 2.100200-4 3.309182+6 2.102500-4 3.508003+6 2.103000-4 3.552176+6 2.104000-4 3.623729+6 2.105500-4 3.719103+6 2.107700-4 3.860707+6 2.109200-4 3.959789+6 2.112000-4 4.131710+6 2.114000-4 4.215304+6 2.117700-4 4.364061+6 2.118500-4 4.393488+6 2.126000-4 4.564201+6 2.127000-4 4.595175+6 2.128700-4 4.624292+6 2.132000-4 4.672032+6 2.139000-4 4.735275+6 2.140000-4 4.736741+6 2.145000-4 4.773524+6 2.153000-4 4.824048+6 2.162719-4 4.878793+6 2.171000-4 4.925914+6 2.175000-4 4.943072+6 2.177000-4 4.948231+6 2.187762-4 4.961173+6 2.205000-4 4.977833+6 2.208000-4 4.979071+6 2.220000-4 4.973688+6 2.230000-4 4.957531+6 2.260000-4 4.883211+6 2.264644-4 4.864156+6 2.308800-4 4.688518+6 2.317395-4 4.653381+6 2.350000-4 4.484535+6 2.415000-4 4.155465+6 2.426610-4 4.101162+6 2.454709-4 3.973677+6 2.511886-4 3.719179+6 2.540973-4 3.601068+6 2.650000-4 3.201456+6 2.660725-4 3.169225+6 2.675100-4 3.131562+6 2.680500-4 3.119198+6 2.680500-4 3.423004+6 2.691535-4 3.402568+6 2.695000-4 3.396215+6 2.710000-4 3.367555+6 2.732000-4 3.324519+6 2.754229-4 3.280336+6 2.770000-4 3.248748+6 2.786121-4 3.216132+6 2.800000-4 3.194742+6 2.818383-4 3.158879+6 2.851018-4 3.095868+6 2.884032-4 3.033346+6 2.900000-4 3.003525+6 2.951209-4 2.909399+6 3.000000-4 2.822514+6 3.054921-4 2.728038+6 3.130000-4 2.604657+6 3.235937-4 2.442283+6 3.250700-4 2.420872+6 3.273407-4 2.388284+6 3.311311-4 2.335332+6 3.349654-4 2.282020+6 3.350000-4 2.281547+6 3.507519-4 2.077709+6 3.548134-4 2.027873+6 3.550900-4 2.024482+6 3.589219-4 1.978587+6 3.715352-4 1.837933+6 3.726990-4 1.825346+6 3.758374-4 1.792023+6 4.027170-4 1.537254+6 4.120975-4 1.459153+6 4.168694-4 1.421398+6 4.265795-4 1.348864+6 4.466836-4 1.213986+6 4.518559-4 1.182477+6 4.600000-4 1.135211+6 4.623810-4 1.121850+6 4.677351-4 1.091904+6 5.011872-4 9.286552+5 5.069907-4 9.035616+5 5.128614-4 8.789521+5 5.248075-4 8.317615+5 5.308844-4 8.091478+5 5.623413-4 7.046395+5 5.754399-4 6.662757+5 5.821032-4 6.477778+5 6.095369-4 5.788873+5 6.309573-4 5.321957+5 6.456542-4 5.030827+5 6.500000-4 4.948134+5 6.531306-4 4.889746+5 6.606934-4 4.751808+5 6.839116-4 4.361318+5 7.161434-4 3.891390+5 7.244360-4 3.781138+5 7.413102-4 3.567684+5 7.585776-4 3.366512+5 7.673615-4 3.270321+5 8.035261-4 2.912842+5 8.222426-4 2.748312+5 8.500000-4 2.525622+5 8.511380-4 2.517000+5 8.912509-4 2.237939+5 9.225714-4 2.049643+5 9.500000-4 1.900202+5 9.549926-4 1.874556+5 1.035142-3 1.522219+5 1.047129-3 1.477399+5 1.070000-3 1.396877+5 1.083927-3 1.350467+5 1.096478-3 1.310478+5 1.188502-3 1.061667+5 1.194100-3 1.048754+5 1.202264-3 1.030177+5 1.230269-3 9.693461+4 1.244515-3 9.403259+4 1.348963-3 7.601418+4 1.350000-3 7.586063+4 1.396368-3 6.936858+4 1.428894-3 6.523752+4 1.531087-3 5.426643+4 1.548817-3 5.263141+4 1.566751-3 5.103381+4 1.584893-3 4.948575+4 1.603245-3 4.798480+4 1.640590-3 4.510372+4 1.737801-3 3.863814+4 1.757924-3 3.746390+4 1.778279-3 3.631768+4 1.840772-3 3.309022+4 1.862087-3 3.208045+4 1.883649-3 3.109629+4 1.972423-3 2.745075+4 2.000000-3 2.644023+4 2.041738-3 2.499441+4 2.137962-3 2.205604+4 2.162719-3 2.137803+4 2.187762-3 2.071753+4 2.264644-3 1.885432+4 2.317395-3 1.770867+4 2.344229-3 1.715758+4 2.483133-3 1.465493+4 2.540973-3 1.376120+4 2.600160-3 1.291688+4 2.691535-3 1.174898+4 2.804900-3 1.048238+4 2.804900-3 9.903124+4 2.884032-3 9.418821+4 2.917427-3 9.225645+4 2.935000-3 9.126482+4 2.951209-3 9.017827+4 2.965000-3 8.926820+4 3.000000-3 8.666890+4 3.090295-3 8.043420+4 3.126079-3 7.813685+4 3.162278-3 7.590272+4 3.349654-3 6.537143+4 3.400000-3 6.288929+4 3.467369-3 5.976690+4 3.548134-3 5.630038+4 3.630781-3 5.303556+4 3.845918-3 4.567283+4 3.890451-3 4.432796+4 3.935501-3 4.302265+4 4.000000-3 4.124430+4 4.073803-3 3.933219+4 4.168694-3 3.705003+4 4.415704-3 3.190385+4 4.472100-3 3.083862+4 4.518559-3 2.999739+4 4.570882-3 2.908725+4 4.623810-3 2.820479+4 4.677351-3 2.734890+4 4.800000-3 2.551853+4 5.188000-3 2.072288+4 5.248075-3 2.008699+4 5.308844-3 1.947061+4 5.370318-3 1.887317+4 5.432503-3 1.829396+4 5.559043-3 1.718843+4 5.821032-3 1.517218+4 6.140000-3 1.309408+4 6.165950-3 1.294248+4 6.237348-3 1.253751+4 6.309573-3 1.214522+4 6.382635-3 1.176515+4 6.531306-3 1.104038+4 7.079458-3 8.836156+3 7.244360-3 8.281944+3 7.328245-3 8.018008+3 7.498942-3 7.515084+3 7.673615-3 7.043669+3 8.511380-3 5.261408+3 8.609938-3 5.091269+3 8.810489-3 4.767317+3 9.015711-3 4.463963+3 1.000000-2 3.320004+3 1.011579-2 3.211307+3 1.023293-2 3.106165+3 1.047129-2 2.906098+3 1.059254-2 2.810946+3 1.174898-2 2.082718+3 1.188502-2 2.013694+3 1.202264-2 1.946950+3 1.216186-2 1.882417+3 1.244515-2 1.759699+3 1.258925-2 1.701375+3 1.400000-2 1.246336+3 1.412538-2 1.213827+3 1.428894-2 1.173099+3 1.462177-2 1.095697+3 1.496236-2 1.023402+3 1.500000-2 1.015807+3 1.698244-2 7.028591+2 1.717908-2 6.789894+2 1.778279-2 6.121357+2 1.798871-2 5.913472+2 1.819701-2 5.712471+2 2.041738-2 4.042496+2 2.065380-2 3.905106+2 2.089296-2 3.770980+2 2.162719-2 3.395628+2 2.187762-2 3.278907+2 2.213095-2 3.166197+2 2.264644-2 2.952266+2 2.454709-2 2.311133+2 2.570396-2 2.009398+2 2.600160-2 1.939607+2 2.630268-2 1.872242+2 2.786121-2 1.568705+2 2.851018-2 1.461550+2 2.951209-2 1.314388+2 3.000000-2 1.249807+2 3.198895-2 1.026078+2 3.235937-2 9.903866+1 3.388442-2 8.584196+1 3.715352-2 6.449107+1 3.801894-2 6.004111+1 3.981072-2 5.204139+1 4.120975-2 4.674558+1 4.677351-2 3.143337+1 5.011872-2 2.531529+1 5.370318-2 2.038520+1 5.623413-2 1.762484+1 5.888437-2 1.523832+1 6.025596-2 1.416915+1 6.165950-2 1.317494+1 6.531306-2 1.098406+1 6.760830-2 9.847822+0 7.161434-2 8.209290+0 7.585776-2 6.838073+0 7.673615-2 6.592645+0 7.762471-2 6.356027+0 8.413951-2 4.921205+0 8.810489-2 4.251849+0 9.332543-2 3.541717+0 9.440609-2 3.414611+0 9.549926-2 3.292069+0 1.059254-1 2.369303+0 1.122019-1 1.973621+0 1.148154-1 1.834518+0 1.244515-1 1.420454+0 1.318257-1 1.183251+0 1.348963-1 1.100209+0 1.445440-1 8.844464-1 1.462177-1 8.528497-1 1.531088-1 7.373901-1 1.548817-1 7.110562-1 1.640590-1 5.928404-1 1.698244-1 5.315684-1 1.757924-1 4.772004-1 1.778279-1 4.603436-1 1.840772-1 4.132610-1 1.862087-1 3.986772-1 1.972423-1 3.331252-1 2.000000-1 3.190001-1 2.018366-1 3.100292-1 2.041738-1 2.990887-1 2.089296-1 2.786005-1 2.187762-1 2.417389-1 2.213095-1 2.333214-1 2.238721-1 2.251972-1 2.264644-1 2.173567-1 2.317395-1 2.024851-1 2.426610-1 1.757258-1 2.454709-1 1.696968-1 2.540973-1 1.528229-1 2.570396-1 1.475855-1 2.600160-1 1.425276-1 2.722701-1 1.239738-1 2.786121-1 1.156232-1 2.818383-1 1.117283-1 2.851018-1 1.079647-1 2.917427-1 1.008135-1 2.985383-1 9.414526-2 3.000000-1 9.278872-2 3.090295-1 8.496218-2 3.162278-1 7.934335-2 3.273407-1 7.174166-2 3.311311-1 6.937322-2 3.388442-1 6.487518-2 3.507519-1 5.867023-2 3.548134-1 5.673675-2 3.589219-1 5.490306-2 3.672823-1 5.141152-2 3.715352-1 4.974998-2 3.801894-1 4.659135-2 3.890451-1 4.363383-2 3.935501-1 4.222622-2 3.981072-1 4.089298-2 4.120975-1 3.714064-2 4.216965-1 3.483639-2 4.265795-1 3.373867-2 4.315191-1 3.267554-2 4.365158-1 3.164595-2 4.570882-1 2.792478-2 4.677351-1 2.623478-2 4.731513-1 2.542869-2 4.795100-1 2.452500-2 4.954502-1 2.249422-2 5.011872-1 2.182004-2 5.128614-1 2.053419-2 5.248075-1 1.932443-2 5.370318-1 1.821417-2 5.495409-1 1.716769-2 5.559043-1 1.666829-2 5.623413-1 1.618343-2 5.754399-1 1.525584-2 5.821032-1 1.482446-2 6.025596-1 1.360213-2 6.165950-1 1.284553-2 6.309573-1 1.213121-2 6.531306-1 1.116225-2 6.606935-1 1.085678-2 6.760830-1 1.027231-2 6.839117-1 9.992061-3 6.918310-1 9.719458-3 7.079458-1 9.212507-3 7.244360-1 8.732007-3 7.413102-1 8.277707-3 7.585776-1 7.847164-3 7.762471-1 7.452569-3 7.943282-1 7.077824-3 8.035261-1 6.898034-3 8.128305-1 6.722811-3 8.317638-1 6.385706-3 8.413951-1 6.228919-3 8.609938-1 5.926803-3 8.709636-1 5.781286-3 8.810489-1 5.639343-3 8.912509-1 5.501243-3 9.015711-1 5.366564-3 9.120108-1 5.239464-3 9.440609-1 4.875949-3 9.549926-1 4.760472-3 9.660509-1 4.648066-3 9.772372-1 4.538350-3 9.885531-1 4.434933-3 1.000000+0 4.333877-3 1.011579+0 4.235129-3 1.023293+0 4.138624-3 1.047129+0 3.952165-3 1.071519+0 3.774434-3 1.083927+0 3.688584-3 1.096478+0 3.604692-3 1.122018+0 3.442626-3 1.130300+0 3.392415-3 1.135011+0 3.365298-3 1.148154+0 3.291364-3 1.161449+0 3.219055-3 1.174898+0 3.148526-3 1.202264+0 3.012078-3 1.216186+0 2.946102-3 1.230269+0 2.881573-3 1.250000+0 2.794717-3 1.273503+0 2.699854-3 1.288250+0 2.643009-3 1.318257+0 2.532890-3 1.333521+0 2.479583-3 1.348963+0 2.427394-3 1.380384+0 2.326293-3 1.412538+0 2.232766-3 1.445440+0 2.143272-3 1.462177+0 2.099880-3 1.496236+0 2.015740-3 1.513561+0 1.974945-3 1.548817+0 1.898937-3 1.566751+0 1.862151-3 1.603245+0 1.790703-3 1.659587+0 1.688670-3 1.678804+0 1.655968-3 1.698244+0 1.625028-3 1.717908+0 1.594669-3 1.757924+0 1.535799-3 1.798871+0 1.479106-3 1.862087+0 1.397990-3 1.883649+0 1.371952-3 1.905461+0 1.347218-3 1.927525+0 1.322931-3 1.995262+0 1.252840-3 2.044000+0 1.206081-3 2.113489+0 1.144196-3 2.137962+0 1.123628-3 2.162719+0 1.104183-3 2.238721+0 1.048011-3 2.290868+0 1.012160-3 2.371374+0 9.606856-4 2.398833+0 9.441162-4 2.426610+0 9.284174-4 2.540973+0 8.683590-4 2.600160+0 8.398035-4 2.691535+0 7.987341-4 2.722701+0 7.854958-4 2.754229+0 7.729234-4 2.917427+0 7.131834-4 2.985383+0 6.906012-4 3.126079+0 6.475710-4 3.162278+0 6.372388-4 3.235937+0 6.176970-4 3.388442+0 5.804919-4 3.467369+0 5.627386-4 3.630781+0 5.288540-4 3.672823+0 5.207067-4 3.758374+0 5.052891-4 3.981072+0 4.688041-4 4.073803+0 4.549590-4 4.265795+0 4.284906-4 4.315191+0 4.221177-4 4.415704+0 4.100386-4 4.731513+0 3.759177-4 4.841724+0 3.651874-4 5.128614+0 3.396888-4 5.188000+0 3.348069-4 5.308844+0 3.255311-4 5.688529+0 2.992779-4 5.821032+0 2.910062-4 6.165950+0 2.713185-4 6.237348+0 2.675438-4 6.382635+0 2.603662-4 6.918310+0 2.367803-4 7.161434+0 2.273379-4 7.673615+0 2.095717-4 7.852356+0 2.039637-4 8.035261+0 1.986461-4 8.709636+0 1.811383-4 9.015711+0 1.741156-4 9.549926+0 1.630136-4 9.772372+0 1.587736-4 1.000000+1 1.547333-4 1.174898+1 1.292264-4 1.216186+1 1.243334-4 1.244515+1 1.211754-4 1.258925+1 1.196267-4 1.659587+1 8.853344-5 1.698244+1 8.634040-5 1.717908+1 8.526457-5 1.737801+1 8.422532-5 2.344229+1 6.123118-5 2.400000+1 5.971675-5 2.426610+1 5.901960-5 2.454709+1 5.831318-5 3.507519+1 4.014704-5 3.589219+1 3.919177-5 3.630781+1 3.872273-5 3.672823+1 3.826657-5 5.821032+1 2.382102-5 5.888437+1 2.354040-5 5.956621+1 2.326312-5 6.000000+1 2.309020-5 6.025596+1 2.299050-5 1.161449+2 1.179873-5 1.174898+2 1.166145-5 1.188502+2 1.152579-5 1.202264+2 1.139272-5 2.317395+2 5.876933-6 2.344229+2 5.809080-6 2.371374+2 5.742013-6 2.398833+2 5.676088-6 9.225714+2 1.469879-6 9.332543+2 1.453003-6 9.440609+2 1.436321-6 9.549926+2 1.419872-6 5.821032+4 2.325347-8 5.888437+4 2.298717-8 5.956621+4 2.272394-8 6.025596+4 2.246397-8 1.000000+5 1.353994-8 1 17000 7 0 3.545300+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 1.229000-5 1.229000-5 1.242000-5 1.229000-5 1.242000-5 1.233253-5 2.484000-5 1.233503-5 2.484000-5 1.249536-5 2.600160-5 1.266129-5 2.700000-5 1.287431-5 2.786121-5 1.311711-5 2.900000-5 1.352474-5 3.040000-5 1.414055-5 3.311311-5 1.544779-5 3.427678-5 1.593162-5 3.540000-5 1.631229-5 3.650000-5 1.659368-5 3.770000-5 1.680604-5 3.900000-5 1.694209-5 4.073803-5 1.701393-5 4.315191-5 1.698359-5 4.900000-5 1.669473-5 5.650000-5 1.631835-5 6.400000-5 1.604800-5 7.328245-5 1.583119-5 8.500000-5 1.567577-5 1.023293-4 1.557266-5 1.273503-4 1.554546-5 1.698244-4 1.563757-5 2.077000-4 1.577247-5 2.077000-4 2.523474-5 2.083000-4 2.585042-5 2.088200-4 2.626852-5 2.094800-4 2.666402-5 2.094800-4 2.700953-5 2.105500-4 2.737051-5 2.117700-4 2.756197-5 2.145000-4 2.767054-5 2.260000-4 2.777581-5 2.680500-4 2.768291-5 2.680500-4 2.943723-5 2.800000-4 2.971540-5 3.054921-4 3.005101-5 4.677351-4 3.110225-5 6.456542-4 3.209768-5 8.912509-4 3.322944-5 1.188502-3 3.435680-5 1.548817-3 3.546129-5 2.000000-3 3.655143-5 2.540973-3 3.755454-5 2.804900-3 3.796850-5 2.804900-3 5.737649-5 3.162278-3 5.757085-5 5.559043-3 5.796183-5 1.216186-2 5.824450-5 4.677351-2 5.842102-5 1.000000+5 5.847462-5 1 17000 7 7 3.545300+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.229000-5 0.0 2.077000-4 0.0 2.077000-4 2.319611-8 2.080700-4 2.416601-8 2.083000-4 2.470429-8 2.085200-4 2.516951-8 2.088200-4 2.572861-8 2.091000-4 2.618067-8 2.094800-4 2.669760-8 2.094800-4 2.748809-8 2.100200-4 2.798483-8 2.104000-4 2.827971-8 2.112000-4 2.866460-8 2.118500-4 2.883262-8 2.132000-4 2.900418-8 2.187762-4 2.923395-8 2.264644-4 2.932089-8 2.511886-4 2.916975-8 2.680500-4 2.905710-8 2.680500-4 3.012578-8 2.900000-4 3.038681-8 3.350000-4 3.059379-8 5.308844-4 3.115261-8 9.225714-4 3.192893-8 1.428894-3 3.267148-8 2.041738-3 3.333193-8 2.804900-3 3.391346-8 2.804900-3 2.190795-4 3.000000-3 2.204006-4 4.800000-3 2.225994-4 7.673615-3 2.238509-4 1.500000-2 2.246224-4 9.549926-2 2.249916-4 1.000000+5 2.249463-4 1 17000 7 9 3.545300+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.229000-5 0.0 1.242000-5 1.300000-7 1.242000-5 8.747372-8 2.484000-5 1.250497-5 2.484000-5 1.234464-5 2.600160-5 1.334031-5 2.700000-5 1.412569-5 2.786121-5 1.474410-5 2.900000-5 1.547526-5 3.060000-5 1.636482-5 3.311311-5 1.766532-5 3.450000-5 1.848530-5 3.555000-5 1.919367-5 3.672823-5 2.008638-5 3.830000-5 2.141947-5 4.000000-5 2.300288-5 4.180000-5 2.478561-5 4.677351-5 2.995541-5 5.900000-5 4.278369-5 7.585776-5 6.006992-5 1.161449-4 1.006010-4 2.077000-4 1.919275-4 2.077000-4 1.824420-4 2.094800-4 1.827893-4 2.094800-4 1.824430-4 2.128700-4 1.852130-4 2.680500-4 2.403380-4 2.680500-4 2.385826-4 4.120975-4 3.813108-4 2.264644-3 2.227535-3 2.804900-3 2.766898-3 2.804900-3 2.528444-3 1.000000+5 1.000000+5 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 2.804900-3 8.854886+4 2.935000-3 8.201436+4 2.965000-3 8.027420+4 3.162278-3 6.837815+4 4.415704-3 2.894915+4 5.188000-3 1.885167+4 5.821032-3 1.382509+4 7.079458-3 8.068621+3 8.511380-3 4.811393+3 1.000000-2 3.039060+3 1.174898-2 1.907993+3 1.400000-2 1.142522+3 1.698244-2 6.446552+2 2.065380-2 3.583071+2 2.570396-2 1.844250+2 3.235937-2 9.091797+1 4.120975-2 4.291932+1 5.370318-2 1.871856+1 7.161434-2 7.538471+0 1.318257-1 1.086394+0 1.698244-1 4.880050-1 2.041738-1 2.745819-1 2.426610-1 1.613195-1 2.786121-1 1.061389-1 3.162278-1 7.283393-2 3.548134-1 5.208148-2 3.935501-1 3.876109-2 4.365158-1 2.904843-2 4.795100-1 2.251212-2 5.248075-1 1.773865-2 5.754399-1 1.400406-2 6.309573-1 1.113589-2 6.918310-1 8.921717-3 7.585776-1 7.202645-3 8.317638-1 5.861111-3 9.015711-1 4.926227-3 9.772372-1 4.166336-3 1.130300+0 3.114500-3 1.250000+0 2.565800-3 1.380384+0 2.135682-3 1.513561+0 1.813092-3 1.678804+0 1.520270-3 1.883649+0 1.259537-3 2.137962+0 1.031564-3 2.398833+0 8.667580-4 2.722701+0 7.211383-4 3.162278+0 5.850222-4 3.672823+0 4.780408-4 4.315191+0 3.875307-4 5.188000+0 3.073742-4 6.237348+0 2.456226-4 7.852356+0 1.872525-4 9.772372+0 1.457656-4 1.258925+1 1.098288-4 1.717908+1 7.828125-5 2.426610+1 5.418581-5 3.630781+1 3.555132-5 6.000000+1 2.119900-5 1.188502+2 1.058175-5 2.371374+2 5.271732-6 9.440609+2 1.318682-6 5.956621+4 2.086278-8 1.000000+5 1.243100-8 1 17000 7 0 3.545300+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 2.804900-3 5.967400-5 1.000000+5 5.967400-5 1 17000 7 7 3.545300+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.804900-3 2.450100-4 1.000000+5 2.450100-4 1 17000 7 9 3.545300+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.804900-3 2.500216-3 1.000000+5 1.000000+5 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.680500-4 3.038060+5 2.695000-4 3.098640+5 2.710000-4 3.146660+5 2.732000-4 3.197220+5 2.770000-4 3.252900+5 2.818383-4 3.296047+5 2.851018-4 3.313795+5 2.900000-4 3.325800+5 2.951209-4 3.320123+5 3.000000-4 3.298960+5 3.054921-4 3.259587+5 3.130000-4 3.186880+5 3.250700-4 3.047797+5 3.550900-4 2.721347+5 4.027170-4 2.337446+5 4.265795-4 2.166186+5 4.600000-4 1.943610+5 5.308844-4 1.566803+5 5.754399-4 1.380004+5 6.309573-4 1.184286+5 7.244360-4 9.336426+4 8.035261-4 7.755600+4 9.225714-4 5.998830+4 1.035142-3 4.810992+4 1.194100-3 3.624471+4 1.350000-3 2.821640+4 1.548817-3 2.114841+4 1.757924-3 1.609524+4 2.000000-3 1.210982+4 2.317395-3 8.680287+3 2.691535-3 6.136702+3 3.126079-3 4.302266+3 3.630781-3 2.991379+3 4.168694-3 2.123484+3 4.800000-3 1.486406+3 5.559043-3 1.018151+3 6.531306-3 6.667254+2 7.673615-3 4.331888+2 9.015711-3 2.793559+2 1.059254-2 1.788737+2 1.258925-2 1.100949+2 1.500000-2 6.676440+1 1.798871-2 3.943215+1 2.162719-2 2.294177+1 2.630268-2 1.280061+1 3.198895-2 7.088824+0 3.981072-2 3.633004+0 5.011872-2 1.783479+0 6.531306-2 7.804963-1 1.462177-1 6.157146-2 1.840772-1 2.990983-2 2.187762-1 1.752427-2 2.540973-1 1.110293-2 2.917427-1 7.332281-3 3.311311-1 5.049800-3 3.715352-1 3.624207-3 4.120975-1 2.707151-3 4.570882-1 2.036594-3 5.011872-1 1.591698-3 5.495409-1 1.252369-3 6.025596-1 9.923261-4 6.606935-1 7.921398-4 7.244360-1 6.377844-4 7.943282-1 5.173753-4 8.810489-1 4.122055-4 9.549926-1 3.475825-4 1.047129+0 2.883034-4 1.161449+0 2.348264-4 1.273503+0 1.969868-4 1.412538+0 1.629365-4 1.548817+0 1.385903-4 1.717908+0 1.163844-4 1.927525+0 9.655500-5 2.162719+0 8.061578-5 2.426610+0 6.778643-5 2.754229+0 5.643204-5 3.235937+0 4.508769-5 3.758374+0 3.688360-5 4.415704+0 2.993140-5 5.308844+0 2.376363-5 6.382635+0 1.900671-5 8.035261+0 1.450190-5 1.000000+1 1.129700-5 1.258925+1 8.735935-6 1.717908+1 6.226527-6 2.426610+1 4.309964-6 3.630781+1 2.827731-6 5.956621+1 1.698747-6 1.188502+2 8.417420-7 2.371374+2 4.193208-7 9.440609+2 1.048916-7 5.956621+4 1.659491-9 1.000000+5 9.88780-10 1 17000 7 0 3.545300+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.680500-4 4.744900-5 1.000000+5 4.744900-5 1 17000 7 7 3.545300+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.680500-4 4.109800-8 1.000000+5 4.109800-8 1 17000 7 9 3.545300+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.680500-4 2.205599-4 1.000000+5 1.000000+5 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.094800-4 5.026800+5 2.095600-4 5.205900+5 2.098000-4 5.810600+5 2.100200-4 6.393300+5 2.102500-4 7.033200+5 2.105500-4 7.905700+5 2.107700-4 8.563300+5 2.109200-4 9.024510+5 2.114000-4 1.026189+6 2.117700-4 1.118388+6 2.118500-4 1.135446+6 2.128700-4 1.207099+6 2.139000-4 1.253510+6 2.140000-4 1.250449+6 2.177000-4 1.357523+6 2.187762-4 1.374781+6 2.208000-4 1.402362+6 2.230000-4 1.413396+6 2.260000-4 1.401268+6 2.308800-4 1.360205+6 2.350000-4 1.317358+6 2.415000-4 1.236202+6 2.454709-4 1.193200+6 2.511886-4 1.123387+6 2.650000-4 9.885252+5 2.660725-4 9.827500+5 2.675100-4 9.690100+5 2.754229-4 9.199200+5 2.884032-4 8.404400+5 3.350000-4 6.192200+5 3.548134-4 5.469700+5 3.758374-4 4.790300+5 4.120975-4 3.834800+5 4.623810-4 2.884100+5 5.069907-4 2.280600+5 5.623413-4 1.735900+5 6.531306-4 1.161800+5 7.244360-4 8.734900+4 8.500000-4 5.572500+4 9.500000-4 4.046500+4 1.096478-3 2.657100+4 1.244515-3 1.818600+4 1.428894-3 1.193700+4 1.640590-3 7.775900+3 1.883649-3 5.031200+3 2.187762-3 3.115100+3 2.540973-3 1.913200+3 2.917427-3 1.211300+3 3.349654-3 7.617200+2 3.845918-3 4.758400+2 4.472100-3 2.826200+2 5.188000-3 1.680400+2 6.140000-3 9.243800+1 7.328245-3 4.893500+1 8.609938-3 2.721700+1 1.023293-2 1.441200+1 1.216186-2 7.576200+0 1.462177-2 3.787000+0 1.778279-2 1.798700+0 2.187762-2 8.115500-1 2.851018-2 2.909900-1 6.165950-2 1.436928-2 7.762471-2 5.893318-3 9.440609-2 2.782518-3 1.122019-1 1.445131-3 1.318257-1 7.896768-4 1.548817-1 4.347699-4 1.778279-1 2.626319-4 2.018366-1 1.666637-4 2.264644-1 1.109890-4 2.540973-1 7.443405-5 2.851018-1 5.029898-5 3.162278-1 3.559152-5 3.507519-1 2.536269-5 3.890451-1 1.821066-5 4.265795-1 1.365738-5 4.677351-1 1.031122-5 5.128614-1 7.840432-6 5.623413-1 6.006879-6 6.165950-1 4.635970-6 6.760830-1 3.604086-6 7.413102-1 2.822187-6 8.128305-1 2.226961-6 9.015711-1 1.716872-6 9.549926-1 1.495061-6 1.000000+0 1.345800-6 1.071519+0 1.159711-6 1.135011+0 1.030853-6 1.216186+0 9.025806-7 1.318257+0 7.791534-7 1.445440+0 6.637088-7 1.698244+0 5.053095-7 1.927525+0 4.109269-7 2.162719+0 3.430421-7 2.426610+0 2.884490-7 2.754229+0 2.401303-7 3.235937+0 1.918551-7 3.758374+0 1.569452-7 4.415704+0 1.273659-7 5.308844+0 1.011222-7 6.382635+0 8.087806-8 8.035261+0 6.170862-8 1.000000+1 4.807200-8 1.258925+1 3.717381-8 1.717908+1 2.649516-8 2.426610+1 1.833952-8 3.630781+1 1.203243-8 6.000000+1 7.175100-9 1.188502+2 3.581679-9 2.371374+2 1.784275-9 9.440609+2 4.46337-10 5.956621+4 7.06143-12 1.000000+5 4.20750-12 1 17000 7 0 3.545300+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.094800-4 2.864900-5 1.000000+5 2.864900-5 1 17000 7 7 3.545300+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.094800-4 3.123900-8 1.000000+5 3.123900-8 1 17000 7 9 3.545300+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.094800-4 1.807998-4 1.000000+5 1.000000+5 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 2.077000-4 1.018532+6 2.077900-4 1.057872+6 2.080700-4 1.201828+6 2.083000-4 1.326452+6 2.085200-4 1.451476+6 2.088200-4 1.628792+6 2.091000-4 1.799852+6 2.094000-4 1.986488+6 2.096200-4 2.124300+6 2.097000-4 2.145361+6 2.103000-4 2.487782+6 2.104000-4 2.531119+6 2.112000-4 2.814435+6 2.126000-4 3.036014+6 2.127000-4 3.060141+6 2.132000-4 3.111513+6 2.145000-4 3.174002+6 2.153000-4 3.204013+6 2.171000-4 3.258491+6 2.175000-4 3.264886+6 2.205000-4 3.261084+6 2.220000-4 3.250762+6 2.260000-4 3.177573+6 2.317395-4 3.011755+6 2.660725-4 1.962689+6 2.786121-4 1.785298+6 2.800000-4 1.773360+6 3.311311-4 1.258744+6 3.507519-4 1.111991+6 3.715352-4 9.744818+5 4.027170-4 8.022110+5 4.623810-4 5.695765+5 5.011872-4 4.635482+5 5.623413-4 3.420616+5 6.456542-4 2.358801+5 7.161434-4 1.773164+5 8.222426-4 1.202202+5 9.225714-4 8.642243+4 1.070000-3 5.594920+4 1.202264-3 3.949079+4 1.396368-3 2.503463+4 1.603245-3 1.630647+4 1.862087-3 1.016887+4 2.162719-3 6.290238+3 2.540973-3 3.715738+3 2.951209-3 2.259836+3 3.400000-3 1.401468+3 3.935501-3 8.492623+2 4.623810-3 4.848644+2 5.370318-3 2.860031+2 6.309573-3 1.607838+2 7.498942-3 8.605606+1 8.810489-3 4.766256+1 1.047129-2 2.512146+1 1.244515-2 1.313879+1 1.496236-2 6.529091+0 1.819701-2 3.080280+0 2.213095-2 1.442198+0 2.786121-2 5.858820-1 3.801894-2 1.720652-1 6.760830-2 1.767357-2 8.810489-2 6.246477-3 1.059254-1 3.047605-3 1.244515-1 1.637820-3 1.445440-1 9.264658-4 1.640590-1 5.758931-4 1.862087-1 3.605969-4 2.089296-1 2.372797-4 2.317395-1 1.638669-4 2.570396-1 1.139732-4 2.818383-1 8.306976-5 3.090295-1 6.095342-5 3.388442-1 4.505445-5 3.672823-1 3.481935-5 3.981072-1 2.708817-5 4.315191-1 2.120730-5 4.731513-1 1.615559-5 5.128614-1 1.281810-5 5.559043-1 1.024069-5 6.025596-1 8.241718-6 6.531306-1 6.688364-6 7.079458-1 5.466600-6 7.762471-1 4.375309-6 8.413951-1 3.625172-6 9.120108-1 3.024105-6 9.885531-1 2.540157-6 1.096478+0 2.054067-6 1.174898+0 1.792961-6 1.288250+0 1.507370-6 1.412538+0 1.275983-6 1.566751+0 1.065452-6 1.757924+0 8.786491-7 1.995262+0 7.165501-7 2.238721+0 5.994869-7 2.540973+0 4.966954-7 2.917427+0 4.079201-7 3.388442+0 3.320114-7 3.981072+0 2.681297-7 4.731513+0 2.149921-7 5.688529+0 1.711692-7 6.918310+0 1.354202-7 8.709636+0 1.035947-7 1.174898+1 7.390745-8 1.659587+1 5.066356-8 2.344229+1 3.504052-8 3.507519+1 2.297663-8 5.821032+1 1.363358-8 1.161449+2 6.753955-9 2.317395+2 3.364151-9 9.225714+2 8.41417-10 5.821032+4 1.33119-11 1.000000+5 7.75120-12 1 17000 7 0 3.545300+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 2.077000-4 2.853400-5 1.000000+5 2.853400-5 1 17000 7 7 3.545300+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.077000-4 3.128400-8 1.000000+5 3.128400-8 1 17000 7 9 3.545300+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.077000-4 1.791347-4 1.000000+5 1.000000+5 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.484000-5 6.364200+4 2.517000-5 7.246200+4 2.540973-5 7.911498+4 2.570396-5 8.736333+4 2.600160-5 9.579353+4 2.630268-5 1.043720+5 2.670000-5 1.157198+5 2.700000-5 1.242938+5 2.740000-5 1.356438+5 2.786121-5 1.485919+5 2.830000-5 1.607430+5 2.884032-5 1.754055+5 2.930000-5 1.875736+5 2.985383-5 2.018130+5 3.040000-5 2.153880+5 3.100000-5 2.297320+5 3.162278-5 2.439884+5 3.235937-5 2.599974+5 3.311311-5 2.754164+5 3.400000-5 2.923100+5 3.500000-5 3.097880+5 3.610000-5 3.271480+5 3.730000-5 3.439800+5 3.850000-5 3.587600+5 4.000000-5 3.745800+5 4.150000-5 3.876900+5 4.315191-5 3.993377+5 4.500000-5 4.093120+5 4.677351-5 4.162269+5 4.900000-5 4.217260+5 5.150000-5 4.243480+5 5.400000-5 4.239080+5 5.688529-5 4.203869+5 6.000000-5 4.137700+5 6.309573-5 4.050341+5 6.683439-5 3.925111+5 7.079458-5 3.778127+5 7.500000-5 3.613840+5 8.035261-5 3.401872+5 8.609938-5 3.179738+5 9.332543-5 2.917693+5 1.023293-4 2.624202+5 1.135011-4 2.311645+5 1.273503-4 1.993357+5 1.428894-4 1.706890+5 1.584893-4 1.474796+5 1.757924-4 1.265967+5 1.972423-4 1.060424+5 2.317395-4 8.199828+4 2.851018-4 5.848280+4 3.273407-4 4.639174+4 3.715352-4 3.724263+4 4.466836-4 2.680941+4 5.248075-4 1.997775+4 6.500000-4 1.338820+4 7.673615-4 9.759923+3 8.912509-4 7.278677+3 1.035142-3 5.389488+3 1.202264-3 3.961087+3 1.396368-3 2.888644+3 1.584893-3 2.196959+3 1.840772-3 1.577672+3 2.137962-3 1.124371+3 2.483133-3 7.953847+2 2.884032-3 5.585689+2 3.349654-3 3.895246+2 3.890451-3 2.697100+2 4.518559-3 1.853680+2 5.248075-3 1.264856+2 6.165950-3 8.315586+1 7.244360-3 5.424246+1 8.511380-3 3.511305+1 1.000000-2 2.256189+1 1.188502-2 1.393168+1 1.412538-2 8.536532+0 1.698244-2 5.023037+0 2.041738-2 2.932654+0 2.454709-2 1.699192+0 3.000000-2 9.304963-1 3.715352-2 4.855433-1 4.677351-2 2.390863-1 6.025596-2 1.088104-1 8.413951-2 3.809910-2 1.445440-1 6.922518-3 1.840772-1 3.246771-3 2.238721-1 1.772369-3 2.600160-1 1.123434-3 2.985383-1 7.429921-4 3.388442-1 5.123996-4 3.801894-1 3.682668-4 4.216965-1 2.754924-4 4.677351-1 2.076163-4 5.128614-1 1.625523-4 5.623413-1 1.281426-4 6.165950-1 1.017419-4 6.760830-1 8.139294-5 7.413102-1 6.560629-5 8.128305-1 5.328461-5 8.912509-1 4.360770-5 9.660509-1 3.683878-5 1.096478+0 2.855868-5 1.202264+0 2.386058-5 1.318257+0 2.006309-5 1.462177+0 1.663557-5 1.603245+0 1.418422-5 1.798871+0 1.171617-5 2.044000+0 9.553700-6 2.290868+0 8.018849-6 2.600160+0 6.653291-6 2.985383+0 5.471081-6 3.467369+0 4.457706-6 4.073803+0 3.604041-6 4.841724+0 2.892747-6 5.821032+0 2.305207-6 7.161434+0 1.800739-6 9.015711+0 1.379156-6 1.216186+1 9.851109-7 1.698244+1 6.844426-7 2.400000+1 4.734000-7 3.589219+1 3.106967-7 5.888437+1 1.866154-7 1.174898+2 9.245607-8 2.344229+2 4.605529-8 9.332543+2 1.151998-8 5.888437+4 1.82247-10 1.000000+5 1.07350-10 1 17000 7 0 3.545300+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.484000-5 2.484000-5 1.000000+5 2.484000-5 1 17000 7 9 3.545300+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.484000-5 0.0 1.000000+5 1.000000+5 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.242000-5 1.851204+7 1.273503-5 1.931130+7 1.295000-5 1.978954+7 1.318257-5 2.022337+7 1.348963-5 2.066165+7 1.370000-5 2.086304+7 1.400000-5 2.101754+7 1.430000-5 2.101838+7 1.455000-5 2.089054+7 1.485000-5 2.059254+7 1.515000-5 2.014921+7 1.540000-5 1.968021+7 1.570000-5 1.901004+7 1.600000-5 1.823887+7 1.630000-5 1.739070+7 1.660000-5 1.648367+7 1.690000-5 1.554015+7 1.720000-5 1.457870+7 1.750000-5 1.361834+7 1.785000-5 1.251536+7 1.819701-5 1.146123+7 1.863300-5 1.020836+7 1.905461-5 9.088863+6 1.950000-5 8.011733+6 2.000000-5 6.933314+6 2.065380-5 5.722597+6 2.137962-5 4.617256+6 2.213095-5 3.698478+6 2.300000-5 2.867939+6 2.400000-5 2.151588+6 2.754229-5 8.333599+5 2.851018-5 6.600655+5 2.920000-5 5.642195+5 3.000000-5 4.756093+5 3.060000-5 4.220858+5 3.126079-5 3.736338+5 3.170000-5 3.465990+5 3.230000-5 3.153456+5 3.280000-5 2.936356+5 3.330000-5 2.753222+5 3.388442-5 2.576329+5 3.427678-5 2.477193+5 3.485000-5 2.356921+5 3.540000-5 2.265405+5 3.590000-5 2.199688+5 3.650000-5 2.139704+5 3.715352-5 2.094332+5 3.770000-5 2.069837+5 3.830000-5 2.054887+5 3.900000-5 2.050721+5 3.981072-5 2.060445+5 4.073803-5 2.086536+5 4.180000-5 2.130988+5 4.315191-5 2.202844+5 4.900000-5 2.575355+5 5.150000-5 2.722972+5 5.400000-5 2.850456+5 5.650000-5 2.955256+5 5.900000-5 3.037139+5 6.165950-5 3.099815+5 6.400000-5 3.135423+5 6.683439-5 3.156654+5 7.000000-5 3.156156+5 7.328245-5 3.133208+5 7.673615-5 3.089070+5 8.035261-5 3.026252+5 8.500000-5 2.928489+5 9.000000-5 2.809672+5 9.549926-5 2.671132+5 1.020000-4 2.505955+5 1.083927-4 2.347231+5 1.161449-4 2.164945+5 1.244515-4 1.983692+5 1.350000-4 1.775704+5 1.450000-4 1.599517+5 1.566751-4 1.417956+5 1.698244-4 1.240614+5 1.840772-4 1.077477+5 2.018366-4 9.103592+4 2.264644-4 7.312118+4 2.540973-4 5.829353+4 2.800000-4 4.784243+4 3.054921-4 3.981323+4 3.349654-4 3.255926+4 3.726990-4 2.558938+4 4.168694-4 1.974017+4 4.677351-4 1.500965+4 5.308844-4 1.102027+4 6.095369-4 7.804663+3 6.839116-4 5.821335+3 7.585776-4 4.440111+3 8.511380-4 3.260881+3 9.549926-4 2.376911+3 1.083927-3 1.665315+3 1.230269-3 1.157448+3 1.396368-3 7.981226+2 1.566751-3 5.654046+2 1.778279-3 3.841877+2 2.041738-3 2.500830+2 2.344229-3 1.616029+2 2.691535-3 1.036606+2 3.090295-3 6.602142+1 3.548134-3 4.175986+1 4.073803-3 2.622617+1 4.677351-3 1.634885+1 5.432503-3 9.723778+0 6.382635-3 5.511644+0 7.498942-3 3.099750+0 8.810489-3 1.730191+0 1.047129-2 9.190559-1 1.244515-2 4.844678-1 1.500000-2 2.405404-1 1.819701-2 1.155540-1 2.264644-2 4.997581-2 2.951209-2 1.796180-2 5.888437-2 1.221963-3 7.585776-2 4.583753-4 9.332543-2 2.069170-4 1.122019-1 1.027598-4 1.318257-1 5.609857-5 1.531088-1 3.221485-5 1.757924-1 1.944641-5 2.000000-1 1.222700-5 2.264644-1 7.879322-6 2.540973-1 5.282545-6 2.851018-1 3.568517-6 3.162278-1 2.524427-6 3.507519-1 1.798438-6 3.890451-1 1.291034-6 4.265795-1 9.683127-7 4.677351-1 7.311046-7 5.128614-1 5.556750-7 5.623413-1 4.251992-7 6.165950-1 3.277011-7 6.760830-1 2.544633-7 7.413102-1 1.990679-7 8.609938-1 1.350798-7 9.120108-1 1.170457-7 9.660509-1 1.020946-7 1.011579+0 9.205095-8 1.083927+0 7.943025-8 1.148154+0 7.069751-8 1.230269+0 6.197809-8 1.333521+0 5.355490-8 1.462177+0 4.565856-8 1.698244+0 3.544748-8 1.905461+0 2.936371-8 2.137962+0 2.449653-8 2.398833+0 2.058429-8 2.722701+0 1.712446-8 3.162278+0 1.389071-8 3.672823+0 1.135080-8 4.315191+0 9.201812-9 5.188000+0 7.298483-9 6.237348+0 5.832198-9 7.852356+0 4.446251-9 9.772372+0 3.461088-9 1.258925+1 2.607788-9 1.737801+1 1.835811-9 2.454709+1 1.271040-9 3.672823+1 8.34121-10 6.025596+1 5.01164-10 1.202264+2 2.48351-10 2.398833+2 1.23735-10 9.549926+2 3.09531-11 6.025596+4 4.89711-13 1.000000+5 2.95170-13 1 17000 7 0 3.545300+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.242000-5 1.242000-5 1.000000+5 1.242000-5 1 17000 7 9 3.545300+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.242000-5 0.0 1.000000+5 1.000000+5 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.229000-5 3.741930+7 1.260000-5 3.899763+7 1.288250-5 4.018030+7 1.312000-5 4.098863+7 1.340000-5 4.169196+7 1.367000-5 4.211062+7 1.396368-5 4.226636+7 1.420000-5 4.217296+7 1.445440-5 4.185247+7 1.470000-5 4.132963+7 1.500000-5 4.042229+7 1.530000-5 3.925096+7 1.560000-5 3.784896+7 1.590000-5 3.625696+7 1.621810-5 3.440749+7 1.650000-5 3.267043+7 1.680000-5 3.075930+7 1.710000-5 2.882157+7 1.740000-5 2.689051+7 1.778279-5 2.447991+7 1.819701-5 2.198780+7 1.863300-5 1.953608+7 1.905461-5 1.735713+7 1.950000-5 1.527082+7 2.000000-5 1.319085+7 2.065380-5 1.086529+7 2.137962-5 8.750340+6 2.213095-5 6.998129+6 2.300000-5 5.419028+6 2.400000-5 4.060263+6 2.730000-5 1.670002+6 2.830000-5 1.310739+6 2.900000-5 1.117419+6 2.951209-5 1.000220+6 3.020000-5 8.694758+5 3.080000-5 7.764026+5 3.135000-5 7.054326+5 3.190000-5 6.461194+5 3.245000-5 5.967661+5 3.300000-5 5.559361+5 3.350000-5 5.251761+5 3.400000-5 4.996562+5 3.450000-5 4.786929+5 3.507519-5 4.594468+5 3.555000-5 4.469596+5 3.610000-5 4.358062+5 3.672823-5 4.268002+5 3.730000-5 4.215162+5 3.801894-5 4.181697+5 3.880000-5 4.179496+5 3.970000-5 4.211596+5 4.073803-5 4.283425+5 4.180000-5 4.384629+5 4.350000-5 4.583262+5 4.841724-5 5.229006+5 5.080000-5 5.516861+5 5.308844-5 5.758920+5 5.559043-5 5.979430+5 5.800000-5 6.146361+5 6.070000-5 6.282027+5 6.309573-5 6.360632+5 6.606934-5 6.409495+5 6.918310-5 6.409738+5 7.244360-5 6.363270+5 7.585776-5 6.274733+5 7.943282-5 6.148808+5 8.317638-5 5.989664+5 8.810489-5 5.752848+5 9.332543-5 5.485270+5 9.900000-5 5.187795+5 1.060000-4 4.827362+5 1.135011-4 4.460343+5 1.230269-4 4.029783+5 1.318257-4 3.669568+5 1.428894-4 3.264711+5 1.540000-4 2.906410+5 1.659587-4 2.570250+5 1.800000-4 2.231791+5 1.950000-4 1.929505+5 2.162719-4 1.586827+5 2.426610-4 1.267319+5 2.691535-4 1.028358+5 2.951209-4 8.485085+4 3.235937-4 6.951378+4 3.589219-4 5.510428+4 4.027170-4 4.224580+4 4.518559-4 3.215857+4 5.128614-4 2.363597+4 5.821032-4 1.724042+4 6.606934-4 1.250119+4 7.413102-4 9.263287+3 8.222426-4 7.025437+3 9.225714-4 5.125572+3 1.047129-3 3.593986+3 1.188502-3 2.500503+3 1.348963-3 1.725988+3 1.531087-3 1.182033+3 1.737801-3 8.031547+2 1.972423-3 5.418874+2 2.264644-3 3.502733+2 2.600160-3 2.247379+2 3.000000-3 1.408614+2 3.467369-3 8.712721+1 4.000000-3 5.380252+1 4.570882-3 3.403537+1 5.308844-3 2.020269+1 6.237348-3 1.142505+1 7.328245-3 6.413424+0 8.609938-3 3.572654+0 1.011579-2 1.975509+0 1.202264-2 1.038786+0 1.428894-2 5.420576-1 1.717908-2 2.686803-1 2.089296-2 1.264405-1 2.600160-2 5.398956-2 3.388442-2 1.910717-2 5.623413-2 2.586935-3 7.673615-2 7.607638-4 9.549926-2 3.235766-4 1.148154-1 1.585835-4 1.348963-1 8.558755-5 1.548817-1 5.080044-5 1.757924-1 3.170665-5 1.972423-1 2.079590-5 2.213095-1 1.373753-5 2.454709-1 9.526189-6 2.722701-1 6.655734-6 3.000000-1 4.793900-6 3.273407-1 3.593066-6 3.589219-1 2.669448-6 3.890451-1 2.071779-6 4.216965-1 1.618302-6 4.570882-1 1.272544-6 4.954502-1 1.007584-6 5.370318-1 8.036415-7 5.821032-1 6.456051-7 6.309573-1 5.224563-7 6.839117-1 4.258826-7 7.413102-1 3.496351-7 8.035261-1 2.890440-7 8.709636-1 2.404804-7 9.440609-1 2.015564-7 1.023293+0 1.702378-7 1.122018+0 1.414342-7 1.230269+0 1.183789-7 1.348963+0 9.981472-8 1.496236+0 8.304471-8 1.659587+0 6.959204-8 1.862087+0 5.760542-8 2.113489+0 4.714480-8 2.371374+0 3.958619-8 2.691535+0 3.291312-8 3.126079+0 2.668432-8 3.630781+0 2.179194-8 4.265795+0 1.765683-8 5.128614+0 1.399795-8 6.165950+0 1.118021-8 7.673615+0 8.634964-9 9.549926+0 6.716542-9 1.244515+1 4.993392-9 1.717908+1 3.514373-9 2.426610+1 2.432630-9 3.589219+1 1.615254-9 5.888437+1 9.70152-10 1.174898+2 4.80648-10 2.344229+2 2.39430-10 9.332543+2 5.98883-11 5.888437+4 9.47483-13 1.000000+5 5.58090-13 1 17000 7 0 3.545300+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.229000-5 1.229000-5 1.000000+5 1.229000-5 1 17000 7 9 3.545300+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.229000-5 0.0 1.000000+5 1.000000+5 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.159780-8 1.028750+0 1.159780-7 1.036640+0 1.159780-6 1.038200+0 1.565160-6 1.039700+0 2.033460-6 1.041500+0 2.705490-6 1.043800+0 3.755320-6 1.046400+0 5.224820-6 1.048300+0 6.505050-6 1.051200+0 8.823950-6 1.054080+0 1.159780-5 1.057700+0 1.580850-5 1.061100+0 2.056280-5 1.065100+0 2.722260-5 1.070400+0 3.797810-5 1.076200+0 5.248520-5 1.080600+0 6.554540-5 1.087100+0 8.831200-5 1.093710+0 1.159780-4 1.102600+0 1.608110-4 1.110700+0 2.097430-4 1.120600+0 2.805990-4 1.133300+0 3.901800-4 1.147500+0 5.387860-4 1.158200+0 6.695980-4 1.174100+0 8.948160-4 1.190110+0 1.159780-3 1.205100+0 1.443000-3 1.227500+0 1.930540-3 1.250000+0 2.497000-3 1.280300+0 3.378550-3 1.307700+0 4.289690-3 1.343000+0 5.615910-3 1.382200+0 7.279500-3 1.433800+0 9.754920-3 1.500000+0 1.337000-2 1.562500+0 1.720000-2 1.617200+0 2.085770-2 1.712900+0 2.785450-2 1.784700+0 3.354250-2 1.892300+0 4.263510-2 2.000000+0 5.227000-2 2.044000+0 5.632000-2 2.163500+0 6.752640-2 2.372600+0 8.756030-2 2.647100+0 1.140390-1 3.000000+0 1.477000-1 3.437500+0 1.883160-1 4.000000+0 2.380000-1 4.750000+0 2.990830-1 5.000000+0 3.183000-1 6.000000+0 3.900000-1 7.000000+0 4.539000-1 8.000000+0 5.113000-1 9.000000+0 5.634000-1 1.000000+1 6.106000-1 1.100000+1 6.534000-1 1.200000+1 6.927000-1 1.300000+1 7.291000-1 1.400000+1 7.630000-1 1.500000+1 7.946000-1 1.600000+1 8.243000-1 1.800000+1 8.786000-1 2.000000+1 9.272000-1 2.200000+1 9.711000-1 2.400000+1 1.011000+0 2.600000+1 1.048000+0 2.800000+1 1.081000+0 3.000000+1 1.112000+0 4.000000+1 1.241000+0 5.000000+1 1.337000+0 6.000000+1 1.412000+0 8.000000+1 1.522000+0 1.000000+2 1.602000+0 1.500000+2 1.732000+0 2.000000+2 1.812000+0 3.000000+2 1.906000+0 4.000000+2 1.960000+0 5.000000+2 1.997000+0 6.000000+2 2.023000+0 8.000000+2 2.058000+0 1.000000+3 2.081000+0 1.500000+3 2.114000+0 2.000000+3 2.132000+0 3.000000+3 2.151000+0 4.000000+3 2.162000+0 5.000000+3 2.169000+0 6.000000+3 2.173000+0 8.000000+3 2.180000+0 1.000000+4 2.183000+0 1.500000+4 2.189000+0 2.000000+4 2.192000+0 3.000000+4 2.195000+0 4.000000+4 2.196000+0 5.000000+4 2.197000+0 6.000000+4 2.198000+0 8.000000+4 2.199000+0 1.000000+5 2.199000+0 1 17000 7 8 3.545300+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 17000 7 9 3.545300+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 1.707070-7 2.127900+0 1.299340-6 2.136250+0 1.707070-6 2.147000+0 2.340510-6 2.156900+0 3.040040-6 2.169000+0 4.057130-6 2.184500+0 5.639540-6 2.201800+0 7.802470-6 2.214800+0 9.721270-6 2.234200+0 1.307680-5 2.253680+0 1.707070-5 2.281500+0 2.391060-5 2.307000+0 3.140650-5 2.338200+0 4.222880-5 2.377400+0 5.848190-5 2.410200+0 7.437930-5 2.446800+0 9.461470-5 2.485900+0 1.191250-4 2.532900+0 1.524540-4 2.556430+0 1.707070-4 2.611900+0 2.176690-4 2.660400+0 2.631470-4 2.745300+0 3.522010-4 2.809000+0 4.265320-4 2.904500+0 5.494700-4 3.000000+0 6.859000-4 3.125000+0 8.845110-4 3.234400+0 1.076350-3 3.425800+0 1.449740-3 3.569300+0 1.758220-3 3.784700+0 2.260710-3 4.000000+0 2.801000-3 4.250000+0 3.461590-3 4.625000+0 4.499960-3 5.000000+0 5.580000-3 5.500000+0 7.063950-3 6.000000+0 8.569000-3 6.750000+0 1.081070-2 7.000000+0 1.155000-2 8.000000+0 1.445000-2 9.000000+0 1.722000-2 1.000000+1 1.986000-2 1.100000+1 2.237000-2 1.200000+1 2.473000-2 1.300000+1 2.697000-2 1.400000+1 2.910000-2 1.500000+1 3.112000-2 1.600000+1 3.304000-2 1.800000+1 3.662000-2 2.000000+1 3.989000-2 2.200000+1 4.289000-2 2.400000+1 4.566000-2 2.600000+1 4.823000-2 2.800000+1 5.062000-2 3.000000+1 5.285000-2 4.000000+1 6.219000-2 5.000000+1 6.939000-2 6.000000+1 7.517000-2 8.000000+1 8.402000-2 1.000000+2 9.059000-2 1.500000+2 1.017000-1 2.000000+2 1.089000-1 3.000000+2 1.180000-1 4.000000+2 1.235000-1 5.000000+2 1.273000-1 6.000000+2 1.302000-1 8.000000+2 1.341000-1 1.000000+3 1.367000-1 1.500000+3 1.407000-1 2.000000+3 1.429000-1 3.000000+3 1.454000-1 4.000000+3 1.469000-1 5.000000+3 1.478000-1 6.000000+3 1.484000-1 8.000000+3 1.492000-1 1.000000+4 1.497000-1 1.500000+4 1.505000-1 2.000000+4 1.509000-1 3.000000+4 1.513000-1 4.000000+4 1.515000-1 5.000000+4 1.517000-1 6.000000+4 1.518000-1 8.000000+4 1.519000-1 1.000000+5 1.520000-1 1 17000 7 8 3.545300+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 17000 7 9 3.545300+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 1.700000+1 1.000000+5 1.700000+1 5.000000+5 1.699400+1 6.718700+5 1.698850+1 7.890600+5 1.698550+1 8.945300+5 1.698290+1 1.000000+6 1.697900+1 1.500000+6 1.695400+1 1.750000+6 1.693650+1 2.000000+6 1.691900+1 2.500000+6 1.687400+1 3.000000+6 1.681900+1 3.750000+6 1.671850+1 4.000000+6 1.668200+1 4.750000+6 1.655420+1 5.000000+6 1.650900+1 5.875000+6 1.633060+1 6.000000+6 1.630420+1 6.625000+6 1.615960+1 7.000000+6 1.607000+1 7.875000+6 1.584280+1 8.500000+6 1.567190+1 8.625000+6 1.563600+1 9.000000+6 1.552900+1 1.000000+7 1.522900+1 1.109400+7 1.488380+1 1.125000+7 1.483450+1 1.203100+7 1.457960+1 1.250000+7 1.442500+1 1.375000+7 1.400570+1 1.437500+7 1.379640+1 1.500000+7 1.358700+1 1.625000+7 1.317050+1 1.687500+7 1.296450+1 1.750000+7 1.276200+1 1.937500+7 1.216980+1 2.000000+7 1.198000+1 2.125000+7 1.161150+1 2.250000+7 1.126250+1 2.312500+7 1.109440+1 2.500000+7 1.062100+1 2.750000+7 1.005610+1 3.000000+7 9.564600+0 3.250000+7 9.139830+0 3.500000+7 8.771750+0 3.625000+7 8.605060+0 4.000000+7 8.168600+0 4.500000+7 7.696630+0 5.000000+7 7.297600+0 5.500000+7 6.933250+0 6.000000+7 6.584800+0 6.500000+7 6.240170+0 7.000000+7 5.898200+0 7.500000+7 5.559350+0 8.000000+7 5.227300+0 8.500000+7 4.903560+0 9.000000+7 4.591500+0 9.500000+7 4.293140+0 1.000000+8 4.009700+0 1.062500+8 3.677860+0 1.125000+8 3.375720+0 1.156300+8 3.235740+0 1.250000+8 2.862800+0 1.437500+8 2.298380+0 1.500000+8 2.155100+0 1.617200+8 1.934490+0 1.712900+8 1.790760+0 1.750000+8 1.742240+0 1.815400+8 1.665130+0 1.938500+8 1.544400+0 2.000000+8 1.494100+0 2.125000+8 1.408520+0 2.289100+8 1.320590+0 2.500000+8 1.234000+0 2.812500+8 1.132170+0 2.937500+8 1.091930+0 3.000000+8 1.071100+0 3.125000+8 1.028010+0 3.500000+8 9.082000-1 3.812500+8 8.290230-1 3.937500+8 7.977600-1 4.000000+8 7.816000-1 4.125000+8 7.478750-1 4.234400+8 7.176920-1 4.425800+8 6.653220-1 4.712900+8 5.919740-1 5.000000+8 5.283000-1 5.437500+8 4.489390-1 5.683600+8 4.094570-1 5.894500+8 3.771770-1 6.000000+8 3.614000-1 6.250000+8 3.254320-1 6.625000+8 2.796810-1 6.812500+8 2.615570-1 6.953100+8 2.501940-1 7.000000+8 2.468000-1 7.125000+8 2.387640-1 7.671900+8 2.108900-1 7.835900+8 2.025810-1 8.000000+8 1.936000-1 8.125000+8 1.861970-1 8.297100+8 1.755100-1 8.455000+8 1.654870-1 8.648200+8 1.533070-1 8.896000+8 1.383250-1 9.172000+8 1.229640-1 1.000000+9 8.730000-2 1.031300+9 7.770400-2 1.074300+9 6.705750-2 1.113800+9 5.920120-2 1.162000+9 5.141850-2 1.224000+9 4.350490-2 1.411300+9 2.777930-2 1.500000+9 2.277400-2 1.562500+9 1.982730-2 1.617200+9 1.758440-2 1.712900+9 1.430820-2 1.856400+9 1.063290-2 2.000000+9 8.038400-3 2.750000+9 2.414330-3 3.875000+9 6.563370-4 5.000000+9 2.481200-4 8.000000+9 4.111100-5 9.500000+9 2.140070-5 1.00000+10 1.762900-5 1.20500+10 8.755810-6 1.41820+10 4.780550-6 1.71170+10 2.393680-6 2.01490+10 1.321830-6 2.26440+10 8.669550-7 2.74790+10 4.334290-7 3.20120+10 2.520690-7 3.62610+10 1.624770-7 4.42280+10 8.116840-8 5.12000+10 4.888150-8 6.34000+10 2.346490-8 7.94120+10 1.091700-8 1.00000+11 5.028400-9 1.26840+11 2.279320-9 1.58400+11 1.096030-9 2.01970+11 4.95880-10 2.73980+11 1.85295-10 3.89420+11 6.03953-11 5.35610+11 2.21297-11 8.96670+11 4.46407-12 1.40100+12 1.13846-12 2.73660+12 1.50967-13 6.72830+12 1.04496-14 1.00000+14 3.94720-18 5.62340+14 2.43938-20 5.42470+15 2.82449-23 1.00000+17 4.38990-27 1 17000 7 0 3.545300+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 2.60000-12 1.000000+2 2.60000-10 1.000000+3 2.600000-8 1.000000+4 2.600000-6 1.000000+5 2.600000-4 5.000000+5 6.500000-3 6.718700+5 1.173664-2 7.890600+5 1.618801-2 8.945300+5 2.080478-2 1.000000+6 2.600000-2 1.500000+6 5.900000-2 1.750000+6 8.015560-2 2.000000+6 1.043000-1 2.500000+6 1.620000-1 3.000000+6 2.316000-1 3.750000+6 3.569650-1 4.000000+6 4.041000-1 4.750000+6 5.603080-1 5.000000+6 6.170000-1 5.875000+6 8.311810-1 6.000000+6 8.636680-1 6.625000+6 1.032090+0 7.000000+6 1.137800+0 7.875000+6 1.395430+0 8.500000+6 1.587230+0 8.625000+6 1.626190+0 9.000000+6 1.744400+0 1.000000+7 2.065000+0 1.109400+7 2.420390+0 1.125000+7 2.471280+0 1.203100+7 2.725100+0 1.250000+7 2.877000+0 1.375000+7 3.276080+0 1.437500+7 3.472050+0 1.500000+7 3.665000+0 1.625000+7 4.040050+0 1.687500+7 4.221800+0 1.750000+7 4.400200+0 1.937500+7 4.910980+0 2.000000+7 5.074000+0 2.125000+7 5.387540+0 2.250000+7 5.686200+0 2.312500+7 5.829990+0 2.500000+7 6.239500+0 2.750000+7 6.736380+0 3.000000+7 7.182000+0 3.250000+7 7.579050+0 3.500000+7 7.936160+0 3.625000+7 8.101160+0 4.000000+7 8.553000+0 4.500000+7 9.074070+0 5.000000+7 9.539000+0 5.500000+7 9.970780+0 6.000000+7 1.038200+1 6.500000+7 1.077800+1 7.000000+7 1.115800+1 7.500000+7 1.152160+1 8.000000+7 1.186700+1 8.500000+7 1.219300+1 9.000000+7 1.249900+1 9.500000+7 1.278430+1 1.000000+8 1.305000+1 1.062500+8 1.335170+1 1.125000+8 1.362500+1 1.156300+8 1.375080+1 1.250000+8 1.408800+1 1.437500+8 1.461010+1 1.500000+8 1.475000+1 1.617200+8 1.497210+1 1.712900+8 1.512700+1 1.750000+8 1.518050+1 1.815400+8 1.526960+1 1.938500+8 1.541920+1 2.000000+8 1.548700+1 2.125000+8 1.561260+1 2.289100+8 1.575840+1 2.500000+8 1.592400+1 2.812500+8 1.613310+1 2.937500+8 1.620710+1 3.000000+8 1.624300+1 3.125000+8 1.630780+1 3.500000+8 1.647900+1 3.812500+8 1.659070+1 3.937500+8 1.662920+1 4.000000+8 1.664800+1 4.125000+8 1.668030+1 4.234400+8 1.670790+1 4.425800+8 1.674820+1 4.712900+8 1.680070+1 5.000000+8 1.684300+1 5.437500+8 1.688990+1 5.683600+8 1.690790+1 5.894500+8 1.692280+1 6.000000+8 1.693000+1 6.250000+8 1.694170+1 6.625000+8 1.695670+1 6.812500+8 1.696240+1 6.953100+8 1.696660+1 7.000000+8 1.696800+1 7.125000+8 1.697030+1 7.671900+8 1.697970+1 7.835900+8 1.698240+1 8.000000+8 1.698500+1 8.125000+8 1.698590+1 8.297100+8 1.698700+1 8.455000+8 1.698810+1 8.648200+8 1.698930+1 8.896000+8 1.699090+1 9.172000+8 1.699260+1 1.000000+9 1.699600+1 1.031300+9 1.699630+1 1.074300+9 1.699670+1 1.113800+9 1.699710+1 1.162000+9 1.699750+1 1.224000+9 1.699800+1 1.411300+9 1.699940+1 1.500000+9 1.700000+1 1.562500+9 1.700000+1 1.617200+9 1.700000+1 1.712900+9 1.700000+1 1.856400+9 1.700000+1 2.000000+9 1.700000+1 2.750000+9 1.700000+1 3.875000+9 1.700000+1 5.000000+9 1.700000+1 8.000000+9 1.700000+1 9.500000+9 1.700000+1 1.00000+10 1.700000+1 1.20500+10 1.700000+1 1.41820+10 1.700000+1 1.71170+10 1.700000+1 2.01490+10 1.700000+1 2.26440+10 1.700000+1 2.74790+10 1.700000+1 3.20120+10 1.700000+1 3.62610+10 1.700000+1 4.42280+10 1.700000+1 5.12000+10 1.700000+1 6.34000+10 1.700000+1 7.94120+10 1.700000+1 1.00000+11 1.700000+1 1.26840+11 1.700000+1 1.58400+11 1.700000+1 2.01970+11 1.700000+1 2.73980+11 1.700000+1 3.89420+11 1.700000+1 5.35610+11 1.700000+1 8.96670+11 1.700000+1 1.40100+12 1.700000+1 2.73660+12 1.700000+1 6.72830+12 1.700000+1 1.00000+14 1.700000+1 5.62340+14 1.700000+1 5.42470+15 1.700000+1 1.00000+17 1.700000+1 1 17000 7 0 3.545300+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.007633-6 0.0 8.547280-6 0.0 8.584096-6 6.760141-1 8.589356-6 7.716022-1 8.610394-6 1.409394+0 8.631432-6 2.376433+0 8.652470-6 3.698898+0 8.695551-6 7.169167+0 8.718214-6 9.069146+0 8.737937-6 1.030713+1 8.758317-6 1.105407+1 8.784063-6 1.110048+1 8.806771-6 1.051714+1 8.903783-6 6.423577+0 8.929418-6 5.308491+0 8.954234-6 4.053441+0 8.968040-6 3.281354+0 9.005716-6 1.844526+0 9.027093-6 1.190762+0 9.048470-6 7.096087-1 9.069847-6 3.903616-1 9.101913-6 9.923149-2 9.112602-6 0.0 9.651149-6 0.0 9.656488-6 1.905495-7 9.698659-6 3.149133-6 9.704024-6 3.647241-6 9.722414-6 5.780138-6 9.727792-6 6.565949-6 9.746170-6 9.797594-6 9.751561-6 1.092102-5 9.775329-6 1.678198-5 9.799097-6 2.399040-5 9.841190-6 3.810334-5 9.870402-6 4.566406-5 9.894170-6 4.921531-5 9.917938-6 5.007232-5 9.941706-6 4.852972-5 9.987086-6 4.148844-5 1.010808-5 1.659696-5 1.012628-5 1.248685-5 1.013185-5 1.143407-5 1.015584-5 8.008539-6 1.017994-5 5.170034-6 1.020405-5 3.080970-6 1.022816-5 1.694867-6 1.025227-5 8.606723-7 1.027637-5 0.0 1.047653-5 0.0 1.049732-5 4.428906-1 1.052811-5 1.178278+0 1.055389-5 2.161376+0 1.057968-5 3.661219+0 1.060547-5 5.727246+0 1.064443-5 9.956253+0 1.068748-5 1.490495+1 1.071366-5 1.728706+1 1.073539-5 1.868871+1 1.077025-5 1.917008+1 1.079827-5 1.844029+1 1.083181-5 1.655199+1 1.088991-5 1.205363+1 1.096001-5 6.326923+0 1.099227-5 3.866604+0 1.100950-5 2.996660+0 1.103236-5 2.030702+0 1.105848-5 1.225064+0 1.108461-5 6.828528-1 1.111073-5 3.511855-1 1.113676-5 3.273792-2 1.113717-5 3.211690-2 1.115867-5 2.364798-1 1.119200-5 6.289593-1 1.121941-5 1.151929+0 1.124858-5 2.018470+0 1.127644-5 3.160298+0 1.135824-5 7.808788+0 1.138772-5 9.194900+0 1.141461-5 1.002890+1 1.144686-5 1.031665+1 1.148142-5 1.002478+1 1.159141-5 7.384172+0 1.163156-5 6.925820+0 1.169783-5 6.841184+0 1.180460-5 7.744738+0 1.193114-5 8.261049+0 1.207599-5 8.392680+0 1.215429-5 8.845780+0 1.221201-5 9.671604+0 1.225946-5 1.079071+1 1.232001-5 1.372595+1 1.246722-5 2.263592+1 1.251097-5 2.411542+1 1.254490-5 2.422542+1 1.258049-5 2.331341+1 1.262366-5 2.104957+1 1.271969-5 1.465687+1 1.274479-5 1.345771+1 1.277497-5 1.241712+1 1.281298-5 1.164976+1 1.287327-5 1.099370+1 1.382954-5 1.247071+1 1.455807-5 1.299997+1 1.533750-5 1.289960+1 1.629084-5 1.195459+1 1.796701-5 9.129325+0 1.962382-5 6.310499+0 2.080921-5 4.720662+0 2.178237-5 3.700908+0 2.304000-5 2.704381+0 2.400832-5 2.145161+0 2.490974-5 1.739628+0 2.590461-5 1.397904+0 2.703200-5 1.109182+0 2.809810-5 9.100120-1 2.930000-5 7.506637-1 3.044926-5 6.462473-1 3.170000-5 5.719953-1 3.311311-5 5.247529-1 3.464380-5 5.045244-1 3.672823-5 5.126728-1 3.900000-5 5.512626-1 4.350000-5 6.732520-1 5.400000-5 9.980490-1 6.309573-5 1.220510+0 7.349002-5 1.379602+0 8.462526-5 1.462565+0 1.053651-4 1.477317+0 1.460404-4 1.335353+0 1.997338-4 1.096141+0 2.011823-4 1.125615+0 2.022150-4 1.212541+0 2.031566-4 1.372117+0 2.037230-4 1.518805+0 2.044966-4 1.810255+0 2.051452-4 2.166206+0 2.058883-4 2.750274+0 2.065738-4 3.483088+0 2.074341-4 4.685394+0 2.086962-4 6.914248+0 2.106788-4 1.065141+1 2.118392-4 1.235491+1 2.131114-4 1.362572+1 2.149245-4 1.461156+1 2.196000-4 1.556131+1 2.274443-4 1.568268+1 2.507804-4 1.354237+1 2.533418-4 1.407865+1 2.557415-4 1.459967+1 2.581923-4 1.360667+1 2.601771-4 1.278495+1 2.623268-4 1.253121+1 2.681041-4 1.305860+1 4.097321-4 8.668474+0 4.844337-4 6.972054+0 5.630499-4 5.660535+0 6.462352-4 4.642142+0 7.442091-4 3.763575+0 8.635531-4 2.998552+0 9.736840-4 2.484900+0 1.099631-3 2.047218+0 1.240045-3 1.685168+0 1.396368-3 1.386473+0 1.577766-3 1.131211+0 1.766056-3 9.353684-1 1.982974-3 7.682321-1 2.220860-3 6.323071-1 2.518193-3 5.085035-1 2.725583-3 4.439360-1 2.739050-3 4.800724-1 2.745709-3 5.201109-1 2.752835-3 5.933775-1 2.759188-3 6.956405-1 2.765334-3 8.405077-1 2.771357-3 1.024683+0 2.777133-3 1.248430+0 2.787510-3 1.744691+0 2.809400-3 2.899079+0 2.821627-3 3.390251+0 2.834398-3 3.699270+0 2.851180-3 3.863497+0 2.939969-3 3.818063+0 3.501498-3 2.920172+0 3.989000-3 2.373730+0 4.505572-3 1.949408+0 5.088493-3 1.589847+0 5.754689-3 1.289179+0 6.512534-3 1.037513+0 7.276443-3 8.519751-1 8.030745-3 7.125660-1 9.015711-3 5.761849-1 1.002797-2 4.726814-1 1.107980-2 3.914399-1 1.240156-2 3.156840-1 1.353110-2 2.667173-1 1.505315-2 2.166522-1 1.646559-2 1.815422-1 1.833877-2 1.465280-1 2.000809-2 1.230215-1 2.216282-2 1.000311-1 2.454709-2 8.121314-2 2.708647-2 6.632368-2 3.030908-2 5.256563-2 3.325901-2 4.331353-2 3.636325-2 3.588470-2 4.044962-2 2.867875-2 4.475583-2 2.313178-2 4.927461-2 1.883127-2 5.467799-2 1.507371-2 6.100743-2 1.189895-2 6.770072-2 9.502594-3 7.522761-2 7.561188-3 8.211822-2 6.249131-3 8.981011-2 5.145486-3 9.712785-2 4.338231-3 1.083392-1 3.421334-3 1.192357-1 2.777867-3 1.288945-1 2.345232-3 1.433784-1 1.862622-3 1.595478-1 1.478982-3 1.755998-1 1.203987-3 1.916706-1 9.999344-4 2.120940-1 8.078945-4 2.317395-1 6.718880-4 2.533315-1 5.595354-4 2.824636-1 4.489224-4 3.102376-1 3.729361-4 3.422923-1 3.086381-4 3.776101-1 2.567848-4 4.175047-1 2.140447-4 4.570882-1 1.827188-4 5.128614-1 1.507433-4 5.754399-1 1.256812-4 6.274022-1 1.104666-4 7.224144-1 9.087501-5 8.341612-1 7.578962-5 9.440609-1 6.588401-5 1.120601+0 5.532942-5 1.347258+0 4.592915-5 1.619761+0 3.812595-5 1.947381+0 3.164848-5 2.341267+0 2.627152-5 2.814822+0 2.180808-5 3.384160+0 1.810296-5 4.068655+0 1.502733-5 4.891600+0 1.247424-5 5.880996+0 1.035491-5 7.070513+0 8.595651-6 8.500626+0 7.135280-6 9.760024+0 6.205263-6 1.000000+1 1.219403-5 1 17000 7 0 3.545300+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-1.700581+1 3.007633-6-1.704966+1 7.457289-6-1.692425+1 8.159162-6-1.621014+1 8.403755-6-1.524392+1 8.515576-6-1.403316+1 8.586726-6-1.208007+1 8.638664-6-1.037861+1 8.666345-6-9.978424+0 8.695551-6-1.038850+1 8.715584-6-1.136028+1 8.742868-6-1.352186+1 8.802635-6-1.891495+1 8.844022-6-1.666243+1 8.887624-6-1.526858+1 8.949632-6-1.418640+1 9.001853-6-1.477699+1 9.144387-6-1.785637+1 9.304855-6-1.930095+1 1.013185-5-1.664703+1 1.032329-5-1.523320+1 1.042495-5-1.370365+1 1.047245-5-1.234390+1 1.054906-5-9.074134+0 1.058290-5-7.482064+0 1.061433-5-6.444978+0 1.063828-5-6.348194+0 1.064981-5-6.563625+0 1.066629-5-7.161754+0 1.068450-5-8.283149+0 1.071366-5-1.108023+1 1.073539-5-1.384321+1 1.079368-5-2.120958+1 1.083454-5-1.728678+1 1.087826-5-1.474585+1 1.090835-5-1.384712+1 1.094925-5-1.370317+1 1.098546-5-1.445301+1 1.114122-5-2.200274+1 1.125188-5-1.769298+1 1.129736-5-1.657670+1 1.134477-5-1.674860+1 1.138772-5-1.820848+1 1.148647-5-2.310395+1 1.155011-5-2.203776+1 1.162421-5-2.266843+1 1.175036-5-2.421223+1 1.201696-5-2.493402+1 1.217286-5-2.707522+1 1.232001-5-3.019062+1 1.238138-5-2.983501+1 1.244598-5-2.736068+1 1.251097-5-2.256338+1 1.258049-5-1.644938+1 1.261227-5-1.419893+1 1.265019-5-1.246461+1 1.267876-5-1.180412+1 1.270965-5-1.176436+1 1.277497-5-1.318675+1 1.289650-5-1.587034+1 1.303094-5-1.689539+1 1.331858-5-1.726405+1 1.402276-5-1.608795+1 1.600000-5-1.080533+1 1.700262-5-8.737215+0 1.773891-5-7.702693+0 1.868178-5-6.940574+0 1.962382-5-6.669968+0 2.111652-5-6.843457+0 2.809810-5-9.350720+0 3.366526-5-1.056820+1 4.180000-5-1.141978+1 5.706250-5-1.186438+1 1.116915-4-1.194728+1 1.460404-4-1.278556+1 1.699657-4-1.417586+1 1.842316-4-1.576257+1 1.942891-4-1.779248+1 1.997338-4-1.980531+1 2.035517-4-2.247443+1 2.080862-4-2.706748+1 2.099998-4-2.723111+1 2.126252-4-2.488601+1 2.167490-4-2.092926+1 2.226250-4-1.731212+1 2.291164-4-1.451985+1 2.360607-4-1.244097+1 2.446036-4-1.090336+1 2.493698-4-1.053833+1 2.528917-4-1.067169+1 2.544274-4-1.023795+1 2.572129-4-8.620641+0 2.587197-4-8.341346+0 2.638671-4-9.135512+0 2.665325-4-9.042516+0 2.766399-4-7.911217+0 2.905865-4-6.784979+0 3.130000-4-5.402878+0 3.375338-4-4.239008+0 3.616762-4-3.355913+0 3.848686-4-2.709174+0 4.097321-4-2.188833+0 4.356725-4-1.777229+0 4.721310-4-1.354267+0 5.094248-4-1.053802+0 5.356810-4-9.012644-1 5.764760-4-7.323095-1 6.144000-4-6.340117-1 6.625978-4-5.474197-1 7.217552-4-4.915042-1 7.805309-4-4.718986-1 8.635531-4-4.833702-1 9.736840-4-5.352495-1 1.240045-3-7.293786-1 1.766056-3-1.174734+0 2.065360-3-1.486054+0 2.289297-3-1.805069+0 2.435668-3-2.104971+0 2.549551-3-2.448191+0 2.639498-3-2.872893+0 2.686775-3-3.218953+0 2.725583-3-3.661409+0 2.752012-3-4.183154+0 2.792996-3-5.455264+0 2.806087-3-5.565349+0 2.821627-3-5.286902+0 2.857324-3-4.053756+0 2.876600-3-3.582889+0 2.901328-3-3.168161+0 2.939969-3-2.709301+0 2.992868-3-2.250426+0 3.054921-3-1.864404+0 3.135090-3-1.495943+0 3.220116-3-1.198712+0 3.317116-3-9.389593-1 3.412911-3-7.380809-1 3.501498-3-5.873546-1 3.618378-3-4.246552-1 3.709544-3-3.200435-1 3.809466-3-2.225184-1 3.866278-3-1.732903-1 3.931031-3-1.244436-1 3.989000-3-8.311314-2 4.046968-3-4.523652-2 4.118659-3-3.885555-3 4.170112-3 2.598542-2 4.256214-3 6.786345-2 4.361888-3 1.143767-1 4.505572-3 1.698694-1 4.623810-3 2.064160-1 4.833096-3 2.567702-1 5.088493-3 3.014313-1 5.347458-3 3.341161-1 5.907969-3 3.732450-1 6.512534-3 3.846760-1 7.498942-3 3.740019-1 1.191780-2 2.510816-1 1.404083-2 2.041150-1 1.646559-2 1.627681-1 1.938863-2 1.261149-1 2.216282-2 1.003802-1 2.534165-2 7.819443-2 2.866768-2 6.088023-2 3.217516-2 4.697392-2 3.536422-2 3.715351-2 3.843076-2 2.949264-2 4.175623-2 2.274196-2 4.572200-2 1.623428-2 4.927461-2 1.147738-2 5.260046-2 7.766239-3 5.467799-2 5.735743-3 5.740328-2 3.360596-3 5.962624-2 1.608779-3 6.100743-2 5.976630-4 6.224219-2-2.618414-4 6.390336-2-1.339296-3 6.639060-2-2.833812-3 6.901313-2-4.255212-3 7.383177-2-6.514041-3 7.879595-2-8.468272-3 8.698773-2-1.106369-2 9.712785-2-1.348775-2 1.122019-1-1.603740-2 1.356995-1-1.855920-2 1.713451-1-2.069462-2 2.317395-1-2.241424-2 3.665727-1-2.377028-2 8.709636-1-2.451788-2 2.688134+0-2.466191-2 8.118035+0-2.467695-2 1.000000+1-2.467519-2 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 4.256052-5 1.076275-6 5.429172-5 1.152000-6 6.663909-5 1.215013-6 8.507090-5 1.290952-6 1.096098-4 1.371636-6 1.372947-4 1.440000-6 1.625401-4 1.548449-6 2.260844-4 1.645227-6 2.882588-4 1.749660-6 3.588583-4 1.800000-6 3.955216-4 1.860722-6 4.548746-4 1.978835-6 5.792170-4 2.025000-6 6.315306-4 2.104444-6 7.442998-4 2.170208-6 8.430487-4 2.278125-6 1.013788-3 2.380090-6 1.221577-3 2.454467-6 1.380959-3 2.562891-6 1.625174-3 2.691839-6 2.000503-3 2.775959-6 2.257152-3 2.883252-6 2.600493-3 2.952168-6 2.877502-3 3.044423-6 3.269297-3 3.139561-6 3.681932-3 3.243658-6 4.155642-3 3.338850-6 4.702701-3 3.443189-6 5.332734-3 3.550788-6 5.992607-3 3.649116-6 6.618535-3 3.776180-6 7.589250-3 3.877185-6 8.399423-3 4.015879-6 9.670590-3 4.119510-6 1.066348-2 4.270793-6 1.233511-2 4.376979-6 1.355404-2 4.541889-6 1.572102-2 4.650540-6 1.719559-2 4.830192-6 1.998945-2 4.941199-6 2.176095-2 5.136796-6 2.534094-2 5.250024-6 2.745908-2 5.458796-6 3.191659-2 5.578150-6 3.448613-2 5.766766-6 3.914332-2 5.926785-6 4.307709-2 6.055789-6 4.669622-2 6.193562-6 5.048180-2 6.297209-6 5.330602-2 6.456326-6 5.825702-2 6.581583-6 6.197793-2 6.899871-6 7.137466-2 7.044670-6 7.578294-2 7.255071-6 8.193445-2 7.452528-6 8.710901-2 7.640778-6 9.130474-2 7.817262-6 9.468263-2 7.982717-6 9.654361-2 8.137830-6 9.655105-2 8.283249-6 9.575853-2 8.419579-6 9.301715-2 8.469308-6 9.160339-2 8.547388-6 8.908324-2 8.667209-6 8.394477-2 8.779542-6 7.726503-2 8.805776-6 7.549616-2 8.884853-6 6.976361-2 8.983583-6 6.150180-2 9.076142-6 5.246188-2 9.121215-6 4.772220-2 9.162916-6 4.321364-2 9.244267-6 3.415115-2 9.320534-6 2.545275-2 9.392033-6 1.752721-2 9.416939-6 1.494488-2 9.459064-6 1.093882-2 9.479247-6 9.228013-3 9.521906-6 6.193055-3 9.580820-6 3.741984-3 9.636052-6 4.086457-3 9.687831-6 7.794367-3 9.694180-6 8.537596-3 9.736375-6 1.547234-2 9.763994-6 2.223319-2 9.781885-6 2.774483-2 9.824550-6 4.524465-2 9.864549-6 6.861014-2 9.902047-6 9.848792-2 9.937202-6 1.355416-1 9.970160-6 1.804607-1 1.000106-5 2.339606-1 1.003094-5 2.989971-1 1.012889-5 6.559609-1 1.017084-5 9.217478-1 1.020755-5 1.254427+0 1.023967-5 1.666104+0 1.026778-5 2.168777+0 1.029237-5 2.770532+0 1.031389-5 3.472169+0 1.033272-5 4.265859+0 1.034920-5 5.136100+0 1.036362-5 6.062210+0 1.039692-5 8.950558+0 1.042650-5 1.264163+1 1.044849-5 1.624166+1 1.046775-5 2.008304+1 1.048183-5 2.332678+1 1.049029-5 2.545382+1 1.050316-5 2.895554+1 1.051604-5 3.276445+1 1.054180-5 4.122380+1 1.054502-5 4.235045+1 1.056756-5 5.055987+1 1.057641-5 5.389455+1 1.059331-5 6.031602+1 1.060217-5 6.365834+1 1.061062-5 6.680071+1 1.061907-5 6.986959+1 1.063115-5 7.407309+1 1.064470-5 7.845222+1 1.065603-5 8.175816+1 1.066877-5 8.501716+1 1.068346-5 8.807936+1 1.069634-5 9.007827+1 1.070097-5 9.063080+1 1.071154-5 9.155206+1 1.072446-5 9.202491+1 1.074905-5 9.094933+1 1.075812-5 8.992780+1 1.077636-5 8.694815+1 1.078727-5 8.463965+1 1.079841-5 8.193187+1 1.080765-5 7.945774+1 1.082192-5 7.530251+1 1.083663-5 7.070466+1 1.084955-5 6.649604+1 1.086457-5 6.150548+1 1.087890-5 5.673589+1 1.089467-5 5.156324+1 1.090876-5 4.706917+1 1.092090-5 4.332814+1 1.094713-5 3.574293+1 1.095615-5 3.330915+1 1.096476-5 3.107340+1 1.097967-5 2.740738+1 1.101587-5 1.961732+1 1.102492-5 1.791746+1 1.103171-5 1.670750+1 1.104698-5 1.418763+1 1.105207-5 1.340959+1 1.106519-5 1.154592+1 1.107831-5 9.882478+0 1.109307-5 8.244191+0 1.110782-5 6.843671+0 1.113406-5 4.903241+0 1.113980-5 4.566112+0 1.114840-5 4.115013+0 1.115701-5 3.726369+0 1.117013-5 3.246186+0 1.117669-5 3.053344+0 1.118325-5 2.889823+0 1.118872-5 2.774576+0 1.119234-5 2.708564+0 1.119952-5 2.600204+0 1.120658-5 2.521228+0 1.121354-5 2.468392+0 1.122038-5 2.438720+0 1.122712-5 2.429489+0 1.123376-5 2.438217+0 1.124029-5 2.462649+0 1.125314-5 2.551524+0 1.126560-5 2.681682+0 1.127767-5 2.841435+0 1.128935-5 3.021381+0 1.132227-5 3.614700+0 1.134254-5 4.009487+0 1.137127-5 4.560293+0 1.140415-5 5.123261+0 1.144709-5 5.666364+0 1.146924-5 5.840571+0 1.151821-5 5.960466+0 1.157505-5 5.720443+0 1.165171-5 5.056872+0 1.168636-5 4.719202+0 1.173775-5 4.226938+0 1.177244-5 3.908758+0 1.180113-5 3.654949+0 1.185246-5 3.219622+0 1.188721-5 2.936226+0 1.191591-5 2.707836+0 1.194460-5 2.483860+0 1.197329-5 2.263920+0 1.200199-5 2.047909+0 1.203582-5 1.798600+0 1.208656-5 1.438025+0 1.211193-5 1.265888+0 1.213730-5 1.101359+0 1.217415-5 8.813508-1 1.220284-5 7.325415-1 1.223154-5 6.130958-1 1.225731-5 5.420744-1 1.228308-5 5.207428-1 1.228926-5 5.252570-1 1.231843-5 6.140097-1 1.234760-5 8.552985-1 1.237677-5 1.326378+0 1.240594-5 2.138449+0 1.242053-5 2.718565+0 1.243511-5 3.445392+0 1.244778-5 4.216376+0 1.246994-5 5.941040+0 1.248656-5 7.608923+0 1.249903-5 9.107622+0 1.250838-5 1.038775+1 1.252241-5 1.258485+1 1.253643-5 1.514730+1 1.255366-5 1.884889+1 1.256873-5 2.263722+1 1.258149-5 2.627495+1 1.260173-5 3.291140+1 1.261725-5 3.874847+1 1.262889-5 4.356120+1 1.263277-5 4.524826+1 1.266371-5 6.014061+1 1.266758-5 6.217338+1 1.269465-5 7.732617+1 1.270699-5 8.468437+1 1.273055-5 9.923530+1 1.274236-5 1.066465+2 1.275364-5 1.137043+2 1.276491-5 1.206744+2 1.277645-5 1.276416+2 1.278587-5 1.331491+2 1.279824-5 1.400480+2 1.281216-5 1.472455+2 1.281855-5 1.503137+2 1.283395-5 1.570003+2 1.284743-5 1.619227+2 1.285492-5 1.642434+2 1.286761-5 1.674558+2 1.288127-5 1.698439+2 1.289280-5 1.709624+2 1.290663-5 1.711964+2 1.291917-5 1.703640+2 1.293326-5 1.682688+2 1.294582-5 1.654040+2 1.295887-5 1.614964+2 1.297189-5 1.567325+2 1.298441-5 1.514141+2 1.299536-5 1.462493+2 1.300058-5 1.436352+2 1.301995-5 1.332592+2 1.303291-5 1.258506+2 1.304746-5 1.172572+2 1.305440-5 1.130992+2 1.306482-5 1.068427+2 1.307523-5 1.006118+2 1.308307-5 9.597435+1 1.309482-5 8.914496+1 1.310657-5 8.252350+1 1.312222-5 7.412091+1 1.314819-5 6.149746+1 1.318818-5 4.589268+1 1.319681-5 4.318273+1 1.321299-5 3.872929+1 1.322513-5 3.592211+1 1.323620-5 3.375102+1 1.324012-5 3.306677+1 1.326074-5 3.019033+1 1.326930-5 2.933564+1 1.328510-5 2.825050+1 1.329458-5 2.789223+1 1.330159-5 2.776234+1 1.330751-5 2.773949+1 1.332422-5 2.808731+1 1.333045-5 2.836700+1 1.333784-5 2.880073+1 1.335943-5 3.067558+1 1.336254-5 3.101734+1 1.339427-5 3.547149+1 1.341233-5 3.873360+1 1.346703-5 5.116202+1 1.347985-5 5.446253+1 1.350640-5 6.148748+1 1.352439-5 6.624741+1 1.354520-5 7.158067+1 1.356215-5 7.567922+1 1.358286-5 8.027180+1 1.359520-5 8.274639+1 1.360473-5 8.450892+1 1.362309-5 8.752506+1 1.363769-5 8.955544+1 1.364940-5 9.094914+1 1.366492-5 9.248328+1 1.367979-5 9.363823+1 1.369378-5 9.446690+1 1.372076-5 9.546002+1 1.373662-5 9.574097+1 1.380272-5 9.555034+1 1.386543-5 9.498949+1 1.390140-5 9.500672+1 1.392759-5 9.523851+1 1.400961-5 9.700598+1 1.411098-5 9.992555+1 1.416997-5 1.011518+2 1.424480-5 1.018997+2 1.435519-5 1.019191+2 1.450419-5 1.018070+2 1.460443-5 1.023820+2 1.468822-5 1.035406+2 1.476280-5 1.051737+2 1.484315-5 1.074927+2 1.523823-5 1.216966+2 1.552782-5 1.318659+2 1.580845-5 1.414089+2 1.608148-5 1.504902+2 1.634604-5 1.590324+2 1.660240-5 1.669114+2 1.690000-5 1.754732+2 1.720000-5 1.832936+2 1.751543-5 1.905090+2 1.776427-5 1.954137+2 1.801880-5 1.996062+2 1.833750-5 2.035262+2 1.864688-5 2.060281+2 1.897500-5 2.072333+2 1.935000-5 2.068274+2 1.965000-5 2.052342+2 2.005251-5 2.015387+2 2.044671-5 1.967174+2 2.067507-5 1.934616+2 2.107428-5 1.870808+2 2.159930-5 1.776551+2 2.197079-5 1.706413+2 2.264682-5 1.577273+2 2.351999-5 1.416828+2 2.441101-5 1.267328+2 2.612499-5 1.026563+2 2.656964-5 9.786250+1 2.739149-5 8.896036+1 2.914653-5 7.430042+1 3.054921-5 6.524358+1 3.189498-5 5.830734+1 3.347409-5 5.180575+1 3.482500-5 4.734034+1 3.623135-5 4.351693+1 3.762974-5 4.037194+1 3.925000-5 3.738891+1 4.090000-5 3.492192+1 4.220000-5 3.330837+1 4.370000-5 3.174422+1 4.466836-5 3.088099+1 4.570882-5 3.006379+1 4.731513-5 2.899658+1 4.915200-5 2.800614+1 5.214064-5 2.682009+1 5.500000-5 2.607578+1 5.766504-5 2.563836+1 6.025596-5 2.539472+1 6.300000-5 2.529415+1 6.580000-5 2.531725+1 6.918310-5 2.547292+1 7.328245-5 2.577067+1 8.058819-5 2.646199+1 9.386420-5 2.768046+1 9.800000-5 2.796671+1 1.100338-4 2.843021+1 1.168154-4 2.850374+1 1.263385-4 2.827458+1 1.368067-4 2.762373+1 1.458540-4 2.672974+1 1.551047-4 2.548070+1 1.640590-4 2.393851+1 1.720580-4 2.226364+1 1.790606-4 2.057277+1 1.826947-4 1.959139+1 1.886411-4 1.783741+1 1.922901-4 1.667378+1 1.961397-4 1.536379+1 2.004665-4 1.379904+1 2.039494-4 1.247060+1 2.067112-4 1.137218+1 2.105231-4 9.794722+0 2.138585-4 8.374585+0 2.167770-4 7.108009+0 2.193307-4 5.995797+0 2.217994-4 4.931730+0 2.235203-4 4.209585+0 2.241938-4 3.934407+0 2.252311-4 3.521739+0 2.267280-4 2.956893+0 2.276264-4 2.640486+0 2.280378-4 2.502555+0 2.303982-4 1.823403+0 2.311895-4 1.651886+0 2.315300-4 1.589285+0 2.319001-4 1.529832+0 2.326937-4 1.436389+0 2.333240-4 1.400655+0 2.335107-4 1.397600+0 2.338219-4 1.401003+0 2.343604-4 1.434707+0 2.346680-4 1.471768+0 2.349962-4 1.527486+0 2.351512-4 1.560124+0 2.357443-4 1.727369+0 2.359372-4 1.797878+0 2.361892-4 1.903431+0 2.369460-4 2.326326+0 2.372450-4 2.544558+0 2.376684-4 2.912801+0 2.382051-4 3.495271+0 2.386123-4 4.038804+0 2.390639-4 4.761809+0 2.397220-4 6.084261+0 2.414224-4 1.149967+1 2.421005-4 1.472533+1 2.427275-4 1.838856+1 2.430724-4 2.071155+1 2.436424-4 2.506363+1 2.441819-4 2.979727+1 2.446578-4 3.447855+1 2.449018-4 3.706032+1 2.453857-4 4.253250+1 2.456014-4 4.511662+1 2.460446-4 5.068059+1 2.463020-4 5.405706+1 2.466723-4 5.907346+1 2.471112-4 6.521896+1 2.475117-4 7.096097+1 2.477537-4 7.446726+1 2.481617-4 8.040030+1 2.486227-4 8.706427+1 2.490109-4 9.257818+1 2.494300-4 9.836549+1 2.498414-4 1.038232+2 2.502546-4 1.090301+2 2.506212-4 1.133827+2 2.509875-4 1.174590+2 2.514350-4 1.220427+2 2.519861-4 1.270652+2 2.525422-4 1.314347+2 2.530292-4 1.347037+2 2.535140-4 1.374728+2 2.543000-4 1.410459+2 2.550866-4 1.436746+2 2.561625-4 1.461408+2 2.574680-4 1.480404+2 2.603480-4 1.506061+2 2.653891-4 1.538546+2 2.697144-4 1.557035+2 2.729056-4 1.563476+2 2.800652-4 1.564421+2 2.871478-4 1.556323+2 2.990596-4 1.520505+2 3.034462-4 1.504111+2 3.051549-4 1.503611+2 3.067836-4 1.513572+2 3.081347-4 1.532548+2 3.092120-4 1.554832+2 3.111424-4 1.606103+2 3.137538-4 1.678196+2 3.156426-4 1.719136+2 3.180000-4 1.754234+2 3.217548-4 1.788739+2 3.261574-4 1.817186+2 3.325247-4 1.849935+2 3.455697-4 1.902181+2 3.636959-4 1.962568+2 3.981072-4 2.057495+2 4.113917-4 2.087140+2 4.241310-4 2.108237+2 4.523652-4 2.137716+2 4.983105-4 2.160047+2 5.543065-4 2.167709+2 6.165950-4 2.159300+2 7.115206-4 2.126865+2 7.767010-4 2.095543+2 9.822796-4 1.992409+2 1.093500-3 1.939613+2 1.345862-3 1.810220+2 1.405118-3 1.781927+2 1.597457-3 1.684542+2 1.785093-3 1.592500+2 1.857487-3 1.558400+2 2.009773-3 1.484479+2 2.162535-3 1.410806+2 2.253469-3 1.367143+2 2.343307-3 1.323104+2 2.430336-3 1.279840+2 2.516290-3 1.236509+2 2.591637-3 1.196879+2 2.654152-3 1.162515+2 2.717499-3 1.126324+2 2.770129-3 1.094566+2 2.809341-3 1.069464+2 2.851790-3 1.040573+2 2.889087-3 1.013366+2 2.917427-3 9.911963+1 2.948123-3 9.652050+1 2.972522-3 9.426740+1 2.999060-3 9.157632+1 3.021563-3 8.902775+1 3.043300-3 8.622806+1 3.060856-3 8.360852+1 3.075787-3 8.101478+1 3.088112-3 7.854185+1 3.100134-3 7.580101+1 3.113309-3 7.246165+1 3.138771-3 6.591650+1 3.148525-3 6.394524+1 3.155751-3 6.289531+1 3.164114-3 6.223685+1 3.170824-3 6.219542+1 3.176930-3 6.255116+1 3.180533-3 6.293478+1 3.187326-3 6.398908+1 3.194574-3 6.554049+1 3.204624-3 6.825998+1 3.228553-3 7.590736+1 3.236180-3 7.830119+1 3.244100-3 8.063652+1 3.250176-3 8.230083+1 3.259200-3 8.455395+1 3.266147-3 8.611207+1 3.276444-3 8.816178+1 3.286988-3 8.998213+1 3.295675-3 9.130649+1 3.310008-3 9.321779+1 3.326255-3 9.506974+1 3.340027-3 9.644118+1 3.357233-3 9.795337+1 3.377705-3 9.951534+1 3.420286-3 1.021255+2 3.465809-3 1.042082+2 3.532675-3 1.063953+2 3.597623-3 1.078580+2 3.698645-3 1.091373+2 3.818547-3 1.096688+2 3.965515-3 1.093404+2 4.130299-3 1.082418+2 4.328766-3 1.063063+2 4.588595-3 1.031898+2 4.900432-3 9.915535+1 5.273152-3 9.428825+1 5.800364-3 8.761214+1 6.550082-3 7.916984+1 7.562055-3 6.956751+1 8.506597-3 6.216531+1 9.169142-3 5.764689+1 9.912129-3 5.307606+1 1.069978-2 4.875170+1 1.145767-2 4.501640+1 1.230575-2 4.126665+1 1.359257-2 3.630000+1 1.509330-2 3.145564+1 1.660768-2 2.742703+1 1.899476-2 2.245144+1 2.215143-2 1.771493+1 2.773929-2 1.241603+1 3.704245-2 7.798269+0 4.334063-2 6.023351+0 5.195776-2 4.439259+0 5.902195-2 3.561321+0 6.986062-2 2.641136+0 8.198794-2 1.975464+0 1.076136-1 1.195718+0 1.367188-1 7.612003-1 1.806895-1 4.465721-1 2.415939-1 2.543288-1 3.379422-1 1.316675-1 5.432503-1 5.141955-2 1.228714+0 1.010114-2 3.710658+0 1.108783-3 1.120601+1 1.215903-4 3.384160+1 1.333229-5 1.022000+2 1.461859-6 3.086391+2 1.602896-7 9.320751+2 1.757541-8 3.162278+3 1.526888-9 1.000000+4 1.52689-10 3.162278+4 1.52689-11 1.000000+5 1.52689-12 1 18000 7 7 3.994800+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 5.224400-7 1.258900-6 8.280100-7 1.584900-6 1.312300-6 1.995300-6 2.079900-6 2.511900-6 3.296300-6 3.162300-6 5.224300-6 3.981100-6 8.280000-6 5.011900-6 1.312300-5 6.309600-6 2.079800-5 7.943300-6 3.296200-5 1.000000-5 5.224100-5 1.258900-5 8.279600-5 1.584900-5 1.312200-4 1.995300-5 2.079700-4 2.511900-5 3.295900-4 3.162300-5 5.223500-4 3.981100-5 8.278300-4 5.011900-5 1.312000-3 6.309600-5 2.079200-3 7.943300-5 3.293700-3 1.000000-4 5.217000-3 1.258900-4 8.264000-3 1.584900-4 1.308200-2 1.995300-4 2.070100-2 2.511900-4 3.272500-2 3.162300-4 5.166400-2 3.981100-4 8.137300-2 5.011900-4 1.276700-1 6.309600-4 1.991000-1 7.943300-4 3.078800-1 1.000000-3 4.703000-1 1.258900-3 7.052700-1 1.584900-3 1.031600+0 1.995300-3 1.461200+0 2.511900-3 1.996400+0 3.162300-3 2.626000+0 3.981100-3 3.328500+0 5.011900-3 4.068900+0 6.309600-3 4.797400+0 7.943300-3 5.500400+0 1.000000-2 6.188300+0 1.258900-2 6.871500+0 1.584900-2 7.520600+0 1.995300-2 8.084100+0 2.511900-2 8.491600+0 3.162300-2 8.821700+0 3.981100-2 8.994200+0 5.011900-2 9.047000+0 6.309600-2 8.981800+0 7.943300-2 8.796500+0 1.000000-1 8.506300+0 1.258900-1 8.130900+0 1.584900-1 7.693800+0 1.995300-1 7.213400+0 2.511900-1 6.708100+0 3.162300-1 6.193200+0 3.981100-1 5.681200+0 5.011900-1 5.180800+0 6.309600-1 4.697800+0 7.943300-1 4.235600+0 1.000000+0 3.796800+0 1.258900+0 3.383200+0 1.584900+0 2.996200+0 1.995300+0 2.636800+0 2.511900+0 2.306200+0 3.162300+0 2.004700+0 3.981100+0 1.732600+0 5.011900+0 1.489000+0 6.309600+0 1.273100+0 7.943300+0 1.083300+0 1.000000+1 9.177600-1 1.258900+1 7.743800-1 1.584900+1 6.510200-1 1.995300+1 5.455000-1 2.511900+1 4.557200-1 3.162300+1 3.796900-1 3.981100+1 3.155700-1 5.011900+1 2.617000-1 6.309600+1 2.165900-1 7.943300+1 1.789300-1 1.000000+2 1.475800-1 1.258900+2 1.215300-1 1.584900+2 9.994500-2 1.995300+2 8.208800-2 2.511900+2 6.734200-2 3.162300+2 5.518600-2 3.981100+2 4.517800-2 5.011900+2 3.695100-2 6.309600+2 3.019500-2 7.943300+2 2.465500-2 1.000000+3 2.011500-2 1.258900+3 1.640000-2 1.584900+3 1.336100-2 1.995300+3 1.087900-2 2.511900+3 8.852400-3 3.162300+3 7.199100-3 3.981100+3 5.851400-3 5.011900+3 4.753500-3 6.309600+3 3.859700-3 7.943300+3 3.132400-3 1.000000+4 2.541100-3 1.258900+4 2.060400-3 1.584900+4 1.670000-3 1.995300+4 1.353000-3 2.511900+4 1.095800-3 3.162300+4 8.871000-4 3.981100+4 7.179200-4 5.011900+4 5.808000-4 6.309600+4 4.697100-4 7.943300+4 3.797500-4 1.000000+5 3.069200-4 1 18000 7 7 3.994800+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584205-4 1.995262-4 1.994173-4 2.511886-4 2.510160-4 3.162278-4 3.159544-4 3.981072-4 3.976743-4 5.011872-4 5.005023-4 6.309573-4 6.298720-4 7.943282-4 7.926143-4 1.000000-3 9.973036-4 1.258925-3 1.254684-3 1.584893-3 1.578242-3 1.995262-3 1.984872-3 2.511886-3 2.495699-3 3.162278-3 3.137197-3 3.981072-3 3.942272-3 5.011872-3 4.952004-3 6.309573-3 6.217377-3 7.943282-3 7.801590-3 1.000000-2 9.781347-3 1.258925-2 1.225092-2 1.584893-2 1.532582-2 1.995262-2 1.914745-2 2.511886-2 2.388607-2 3.162278-2 2.974596-2 3.981072-2 3.696553-2 5.011872-2 4.582224-2 6.309573-2 5.663708-2 7.943282-2 6.980235-2 1.000000-1 8.576573-2 1.258925-1 1.050324-1 1.584893-1 1.281616-1 1.995262-1 1.558535-1 2.511886-1 1.888604-1 3.162278-1 2.280742-1 3.981072-1 2.745144-1 5.011872-1 3.293424-1 6.309573-1 3.939538-1 7.943282-1 4.699744-1 1.000000+0 5.594466-1 1.258925+0 6.648210-1 1.584893+0 7.891697-1 1.995262+0 9.362543-1 2.511886+0 1.110799+0 3.162278+0 1.318480+0 3.981072+0 1.566410+0 5.011872+0 1.863158+0 6.309573+0 2.219305+0 7.943282+0 2.647787+0 1.000000+1 3.164352+0 1.258925+1 3.788342+0 1.584893+1 4.543462+0 1.995262+1 5.458672+0 2.511886+1 6.569375+0 3.162278+1 7.919316+0 3.981072+1 9.561766+0 5.011872+1 1.156249+1 6.309573+1 1.400212+1 7.943282+1 1.697973+1 1.000000+2 2.061709+1 1.258925+2 2.506434+1 1.584893+2 3.050596+1 1.995262+2 3.716919+1 2.511886+2 4.533431+1 3.162278+2 5.534670+1 3.981072+2 6.763131+1 5.011872+2 8.271461+1 6.309573+2 1.012439+2 7.943282+2 1.240192+2 1.000000+3 1.520279+2 1.258925+3 1.864932+2 1.584893+3 2.289229+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 18000 7 9 3.994800+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090664-8 7.943282-5 1.728307-8 1.000000-4 2.738827-8 1.258925-4 4.340328-8 1.584893-4 6.876944-8 1.995262-4 1.089613-7 2.511886-4 1.726112-7 3.162278-4 2.733845-7 3.981072-4 4.328223-7 5.011872-4 6.848930-7 6.309573-4 1.085369-6 7.943282-4 1.713918-6 1.000000-3 2.696419-6 1.258925-3 4.241366-6 1.584893-3 6.651381-6 1.995262-3 1.038995-5 2.511886-3 1.618716-5 3.162278-3 2.508056-5 3.981072-3 3.880013-5 5.011872-3 5.986865-5 6.309573-3 9.219602-5 7.943282-3 1.416927-4 1.000000-2 2.186533-4 1.258925-2 3.383391-4 1.584893-2 5.231100-4 1.995262-2 8.051701-4 2.511886-2 1.232798-3 3.162278-2 1.876821-3 3.981072-2 2.845183-3 5.011872-2 4.296479-3 6.309573-2 6.458656-3 7.943282-2 9.630473-3 1.000000-1 1.423427-2 1.258925-1 2.086009-2 1.584893-1 3.032771-2 1.995262-1 4.367268-2 2.511886-1 6.232820-2 3.162278-1 8.815352-2 3.981072-1 1.235928-1 5.011872-1 1.718448-1 6.309573-1 2.370035-1 7.943282-1 3.243538-1 1.000000+0 4.405534-1 1.258925+0 5.941044-1 1.584893+0 7.957235-1 1.995262+0 1.059008+0 2.511886+0 1.401087+0 3.162278+0 1.843797+0 3.981072+0 2.414661+0 5.011872+0 3.148714+0 6.309573+0 4.090268+0 7.943282+0 5.295495+0 1.000000+1 6.835648+0 1.258925+1 8.800912+0 1.584893+1 1.130547+1 1.995262+1 1.449395+1 2.511886+1 1.854949+1 3.162278+1 2.370346+1 3.981072+1 3.024895+1 5.011872+1 3.855623+1 6.309573+1 4.909362+1 7.943282+1 6.245309+1 1.000000+2 7.938291+1 1.258925+2 1.008282+2 1.584893+2 1.279834+2 1.995262+2 1.623570+2 2.511886+2 2.058543+2 3.162278+2 2.608811+2 3.981072+2 3.304759+2 5.011872+2 4.184726+2 6.309573+2 5.297134+2 7.943282+2 6.703090+2 1.000000+3 8.479721+2 1.258925+3 1.072432+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 1.443000-5 3.379932+7 1.462000-5 3.509256+7 1.462000-5 5.176278+7 1.479108-5 5.354524+7 1.496236-5 5.525755+7 1.500000-5 5.562293+7 1.530000-5 5.839034+7 1.531087-5 5.848376+7 1.560000-5 6.086036+7 1.570000-5 6.160576+7 1.590000-5 6.300636+7 1.603245-5 6.382036+7 1.621810-5 6.489153+7 1.630000-5 6.528915+7 1.650000-5 6.617324+7 1.660000-5 6.651636+7 1.680000-5 6.709824+7 1.690000-5 6.728191+7 1.710000-5 6.754272+7 1.720000-5 6.756235+7 1.740000-5 6.749583+7 1.750000-5 6.735309+7 1.770000-5 6.696642+7 1.778279-5 6.671738+7 1.800000-5 6.597520+7 1.830000-5 6.452280+7 1.860000-5 6.266069+7 1.862087-5 6.251542+7 1.885000-5 6.084900+7 1.910000-5 5.882572+7 1.935000-5 5.663416+7 1.965000-5 5.383458+7 1.995262-5 5.087053+7 2.000000-5 5.040878+7 2.030000-5 4.742454+7 2.070000-5 4.344102+7 2.110000-5 3.955432+7 2.150000-5 3.583940+7 2.190000-5 3.234700+7 2.238721-5 2.843596+7 2.290868-5 2.468706+7 2.350000-5 2.097446+7 2.426610-5 1.695073+7 2.511886-5 1.337531+7 2.610000-5 1.021384+7 2.754229-5 6.937674+6 2.892000-5 4.865298+6 2.892000-5 4.946294+6 2.920000-5 4.623754+6 2.951209-5 4.293770+6 2.990000-5 3.922746+6 3.020000-5 3.662622+6 3.054921-5 3.386165+6 3.060000-5 3.348720+6 3.090295-5 3.135653+6 3.100000-5 3.071577+6 3.150000-5 2.766492+6 3.162278-5 2.697518+6 3.198895-5 2.508675+6 3.210000-5 2.455537+6 3.260000-5 2.233745+6 3.300000-5 2.079170+6 3.315000-5 2.025875+6 3.330000-5 1.974301+6 3.370000-5 1.849358+6 3.400000-5 1.764246+6 3.427678-5 1.693573+6 3.450000-5 1.639408+6 3.470000-5 1.594077+6 3.507519-5 1.517426+6 3.520000-5 1.493573+6 3.570000-5 1.407555+6 3.589219-5 1.379131+6 3.630781-5 1.320547+6 3.672823-5 1.270995+6 3.690000-5 1.251543+6 3.750000-5 1.194998+6 3.770000-5 1.179573+6 3.801894-5 1.155491+6 3.850000-5 1.125726+6 3.910000-5 1.096124+6 3.950000-5 1.081601+6 3.970000-5 1.074295+6 4.030000-5 1.058753+6 4.073803-5 1.051690+6 4.090000-5 1.048893+6 4.150000-5 1.043374+6 4.216965-5 1.042471+6 4.220000-5 1.042385+6 4.280000-5 1.044887+6 4.300000-5 1.046129+6 4.350000-5 1.051236+6 4.365158-5 1.053054+6 4.370000-5 1.053560+6 4.420000-5 1.060550+6 4.466836-5 1.067907+6 4.518559-5 1.077747+6 4.570882-5 1.087808+6 4.623810-5 1.099337+6 4.677351-5 1.111672+6 4.680000-5 1.112247+6 4.731513-5 1.124541+6 4.850000-5 1.154110+6 4.900000-5 1.166725+6 5.011872-5 1.195828+6 5.230000-5 1.250392+6 5.432503-5 1.299184+6 5.500000-5 1.313850+6 5.688529-5 1.353641+6 5.754399-5 1.365750+6 5.956621-5 1.401271+6 6.025596-5 1.411453+6 6.220000-5 1.438264+6 6.237348-5 1.440321+6 6.300000-5 1.447236+6 6.500000-5 1.467319+6 6.531306-5 1.469879+6 6.580000-5 1.473464+6 6.760830-5 1.485151+6 6.839116-5 1.488946+6 6.918310-5 1.492097+6 7.000000-5 1.494711+6 7.150000-5 1.497064+6 7.328245-5 1.498486+6 7.413102-5 1.497173+6 7.673615-5 1.491398+6 7.762471-5 1.488130+6 7.800000-5 1.486472+6 8.035261-5 1.475034+6 8.150000-5 1.468024+6 8.317638-5 1.456933+6 8.413951-5 1.450253+6 8.511380-5 1.442419+6 8.810489-5 1.417536+6 8.912509-5 1.408214+6 9.300000-5 1.371004+6 9.332543-5 1.367667+6 9.549926-5 1.344839+6 9.800000-5 1.318940+6 9.900000-5 1.308037+6 1.040000-4 1.254382+6 1.047129-4 1.246439+6 1.109175-4 1.179499+6 1.135011-4 1.151414+6 1.188502-4 1.096427+6 1.190000-4 1.094888+6 1.260000-4 1.025653+6 1.273503-4 1.013085+6 1.364583-4 9.305607+5 1.412538-4 8.895692+5 1.462177-4 8.499826+5 1.480000-4 8.362592+5 1.584893-4 7.601216+5 1.698244-4 6.860828+5 1.720000-4 6.730347+5 1.757924-4 6.504984+5 1.840772-4 6.049531+5 1.850000-4 6.001240+5 1.950000-4 5.502749+5 2.000000-4 5.275947+5 2.162719-4 4.608509+5 2.187762-4 4.516677+5 2.400000-4 3.822861+5 2.426610-4 3.746964+5 2.470900-4 3.623496+5 2.470900-4 1.190686+6 2.472000-4 1.230931+6 2.474000-4 1.318161+6 2.476000-4 1.411024+6 2.479000-4 1.559824+6 2.479700-4 1.577210+6 2.486700-4 1.873998+6 2.494300-4 2.236228+6 2.494300-4 2.644958+6 2.494500-4 2.659377+6 2.495200-4 2.705218+6 2.498000-4 2.833248+6 2.501000-4 2.979071+6 2.504000-4 3.133238+6 2.505000-4 3.186190+6 2.506000-4 3.255070+6 2.506200-4 3.262370+6 2.509200-4 3.372672+6 2.511886-4 3.475387+6 2.512000-4 3.479927+6 2.514000-4 3.558327+6 2.514700-4 3.559725+6 2.515500-4 3.593038+6 2.516600-4 3.627367+6 2.523000-4 3.803100+6 2.525000-4 3.828626+6 2.543000-4 3.958221+6 2.553000-4 4.000850+6 2.554000-4 4.009650+6 2.556000-4 4.015735+6 2.600160-4 4.064995+6 2.606800-4 4.061062+6 2.615300-4 4.050636+6 2.647000-4 4.008064+6 2.665000-4 3.970308+6 2.691535-4 3.905130+6 2.710000-4 3.860763+6 2.722701-4 3.816488+6 2.760000-4 3.690420+6 2.818383-4 3.520803+6 2.851018-4 3.417829+6 2.890000-4 3.303011+6 2.930700-4 3.185172+6 2.951209-4 3.135503+6 3.000000-4 3.028074+6 3.019952-4 2.985684+6 3.054921-4 2.913388+6 3.080000-4 2.858377+6 3.090295-4 2.840751+6 3.100000-4 2.826812+6 3.134300-4 2.768141+6 3.134300-4 3.054641+6 3.162278-4 3.007654+6 3.200000-4 2.942660+6 3.273407-4 2.818851+6 3.311311-4 2.757630+6 3.427678-4 2.579810+6 3.507519-4 2.467112+6 3.589219-4 2.359594+6 3.630781-4 2.307238+6 3.758374-4 2.157112+6 3.935501-4 1.971154+6 3.981072-4 1.925035+6 4.000000-4 1.906354+6 4.027170-4 1.879992+6 4.120975-4 1.791371+6 4.150000-4 1.764414+6 4.365158-4 1.579205+6 4.415704-4 1.538951+6 4.518559-4 1.460646+6 4.623810-4 1.386430+6 4.677351-4 1.350537+6 4.841724-4 1.248462+6 4.897788-4 1.215881+6 5.011872-4 1.152830+6 5.069907-4 1.122542+6 5.308844-4 1.008555+6 5.432503-4 9.558653+5 5.559043-4 9.051243+5 5.623413-4 8.805726+5 5.754399-4 8.334693+5 5.888437-4 7.889421+5 6.095369-4 7.257534+5 6.165950-4 7.057400+5 6.531306-4 6.133150+5 6.606934-4 5.963618+5 6.700000-4 5.764054+5 6.839116-4 5.481263+5 7.079458-4 5.033487+5 7.413102-4 4.491827+5 7.498942-4 4.365936+5 7.500000-4 4.364415+5 7.673615-4 4.123726+5 7.852356-4 3.892510+5 8.128305-4 3.568516+5 8.317638-4 3.367998+5 8.413951-4 3.272100+5 8.709636-4 2.998928+5 9.015711-4 2.747204+5 9.332543-4 2.516278+5 9.440609-4 2.443306+5 9.885531-4 2.172331+5 1.023293-3 1.987693+5 1.047129-3 1.873046+5 1.059254-3 1.818288+5 1.071519-3 1.765147+5 1.096478-3 1.662916+5 1.122018-3 1.566719+5 1.174898-3 1.389808+5 1.188502-3 1.348724+5 1.202264-3 1.308865+5 1.273503-3 1.125824+5 1.318257-3 1.028010+5 1.333521-3 9.972488+4 1.380384-3 9.104897+4 1.450000-3 7.993278+4 1.479108-3 7.581976+4 1.500000-3 7.304609+4 1.531087-3 6.917428+4 1.566751-3 6.506405+4 1.659587-3 5.578805+4 1.698244-3 5.244518+4 1.757924-3 4.780760+4 1.800000-3 4.486814+4 1.883649-3 3.969182+4 1.927525-3 3.730639+4 1.972423-3 3.505364+4 2.041738-3 3.193189+4 2.065380-3 3.095322+4 2.162719-3 2.730850+4 2.213095-3 2.565455+4 2.290868-3 2.335189+4 2.371374-3 2.126010+4 2.483133-3 1.873984+4 2.540973-3 1.759689+4 2.660725-3 1.551079+4 2.722701-3 1.456424+4 2.851018-3 1.282600+4 2.917427-3 1.203821+4 3.090295-3 1.027103+4 3.126079-3 9.950639+3 3.162278-3 9.639818+3 3.177600-3 9.510986+3 3.177600-3 8.732089+4 3.311311-3 8.049065+4 3.349654-3 7.868247+4 3.350000-3 7.866642+4 3.388442-3 7.645314+4 3.589219-3 6.620493+4 3.600000-3 6.571035+4 3.678900-3 6.210986+4 3.801894-3 5.701709+4 3.845918-3 5.533497+4 3.890451-3 5.370198+4 4.168694-3 4.487056+4 4.265795-3 4.226250+4 4.365158-3 3.980373+4 4.466836-3 3.748843+4 4.677351-3 3.325364+4 4.841724-3 3.037696+4 4.954502-3 2.859874+4 5.069907-3 2.692307+4 5.128614-3 2.610175+4 5.188000-3 2.530553+4 5.623413-3 2.037227+4 5.754399-3 1.914853+4 5.888437-3 1.799727+4 5.956621-3 1.744792+4 6.025596-3 1.691537+4 6.309573-3 1.494272+4 6.606934-3 1.316281+4 6.683439-3 1.275198+4 6.839116-3 1.196768+4 6.918310-3 1.159384+4 7.079458-3 1.088089+4 7.673615-3 8.713724+3 7.762471-3 8.437350+3 8.035261-3 7.658889+3 8.128305-3 7.415729+3 8.317638-3 6.952356+3 8.810489-3 5.916698+3 9.120108-3 5.364829+3 9.225714-3 5.192385+3 9.440609-3 4.863945+3 9.549926-3 4.707611+3 9.772372-3 4.409874+3 1.035142-2 3.745346+3 1.071519-2 3.391072+3 1.096478-2 3.173494+3 1.122018-2 2.969882+3 1.161449-2 2.688711+3 1.244515-2 2.203749+3 1.258925-2 2.130949+3 1.273503-2 2.060543+3 1.303167-2 1.926512+3 1.333521-2 1.801206+3 1.380384-2 1.628369+3 1.500000-2 1.277470+3 1.513561-2 1.244332+3 1.566751-2 1.123396+3 1.584893-2 1.085755+3 1.603245-2 1.049377+3 1.659587-2 9.473978+2 1.798871-2 7.463501+2 1.840772-2 6.971371+2 1.905461-2 6.285973+2 1.927525-2 6.072836+2 1.949845-2 5.866919+2 2.018366-2 5.290163+2 2.137962-2 4.452145+2 2.162719-2 4.301191+2 2.238721-2 3.878007+2 2.317395-2 3.492488+2 2.398833-2 3.145320+2 2.483133-2 2.832672+2 2.570396-2 2.551105+2 2.600160-2 2.463607+2 2.786121-2 1.997823+2 2.917427-2 1.734752+2 3.090295-2 1.454100+2 3.126079-2 1.403675+2 3.162278-2 1.354993+2 3.507519-2 9.859661+1 3.845918-2 7.412185+1 3.890451-2 7.152480+1 4.466836-2 4.660644+1 4.500000-2 4.554990+1 4.841724-2 3.622995+1 5.956621-2 1.894024+1 6.165950-2 1.698507+1 6.237348-2 1.637924+1 6.839116-2 1.224673+1 7.079458-2 1.098170+1 7.762471-2 8.211234+0 7.943282-2 7.634419+0 8.128305-2 7.098136+0 8.609938-2 5.916268+0 8.709636-2 5.704643+0 8.912509-2 5.303836+0 9.120108-2 4.931200+0 9.660509-2 4.110175+0 1.059254-1 3.071271+0 1.071519-1 2.961430+0 1.109175-1 2.654911+0 1.148154-1 2.380123+0 1.258925-1 1.778569+0 1.288250-1 1.653629+0 1.303167-1 1.594493+0 1.348963-1 1.430383+0 1.412538-1 1.237541+0 1.462177-1 1.110217+0 1.479108-1 1.070756+0 1.513561-1 9.959936-1 1.566751-1 8.935287-1 1.678804-1 7.191425-1 1.717908-1 6.689367-1 1.798871-1 5.787949-1 1.819701-1 5.584582-1 1.840772-1 5.388365-1 1.883649-1 5.016705-1 1.905461-1 4.840617-1 1.927525-1 4.670717-1 2.065380-1 3.769476-1 2.137962-1 3.386339-1 2.162719-1 3.269061-1 2.187762-1 3.155849-1 2.264644-1 2.839530-1 2.317395-1 2.646489-1 2.371374-1 2.466575-1 2.398833-1 2.381261-1 2.426610-1 2.298898-1 2.483133-1 2.142619-1 2.540973-1 1.998990-1 2.600160-1 1.865133-1 2.630268-1 1.801606-1 2.660725-1 1.740253-1 2.722701-1 1.623744-1 2.884032-1 1.365464-1 2.917427-1 1.319790-1 3.019952-1 1.191908-1 3.162278-1 1.040487-1 3.198895-1 1.005740-1 3.273407-1 9.396884-2 3.311311-1 9.089128-2 3.349654-1 8.791924-2 3.427678-1 8.226347-2 3.467369-1 7.957403-2 3.507519-1 7.697261-2 3.548134-1 7.445624-2 3.672823-1 6.739011-2 3.715352-1 6.523188-2 3.801894-1 6.112734-2 3.845918-1 5.917301-2 3.935501-1 5.545054-2 4.073803-1 5.030135-2 4.120975-1 4.872857-2 4.168694-1 4.720773-2 4.265795-1 4.430701-2 4.365158-1 4.158509-2 4.466836-1 3.903041-2 4.518559-1 3.781259-2 4.570882-1 3.666155-2 4.731513-1 3.342047-2 4.841724-1 3.142100-2 4.897788-1 3.046663-2 5.011872-1 2.864396-2 5.188000-1 2.618087-2 5.248075-1 2.540801-2 5.308844-1 2.465801-2 5.370318-1 2.393014-2 5.495409-1 2.253823-2 5.623413-1 2.126425-2 5.688529-1 2.065454-2 5.754399-1 2.006247-2 5.821032-1 1.948736-2 5.888437-1 1.892875-2 6.025596-1 1.785911-2 6.095369-1 1.736317-2 6.237348-1 1.641226-2 6.309573-1 1.595664-2 6.456542-1 1.508300-2 6.606935-1 1.425720-2 6.623700-1 1.417218-2 6.760830-1 1.350506-2 6.839117-1 1.314412-2 6.918310-1 1.279293-2 7.079458-1 1.211846-2 7.161434-1 1.179468-2 7.244360-1 1.147955-2 7.328245-1 1.118327-2 7.498942-1 1.061345-2 7.762471-1 9.812929-3 7.943282-1 9.313092-3 8.035261-1 9.081002-3 8.222427-1 8.634034-3 8.459000-1 8.113694-3 8.609938-1 7.805258-3 8.810489-1 7.421212-3 8.912509-1 7.242777-3 9.120108-1 6.898778-3 9.332543-1 6.571133-3 9.549926-1 6.259050-3 9.660509-1 6.114624-3 9.772372-1 5.973583-3 1.000000+0 5.701194-3 1.011579+0 5.569699-3 1.023293+0 5.441227-3 1.047129+0 5.193115-3 1.071519+0 4.961902-3 1.083927+0 4.850181-3 1.096478+0 4.740982-3 1.148154+0 4.328318-3 1.161449+0 4.230893-3 1.188502+0 4.049558-3 1.202264+0 3.961826-3 1.230269+0 3.792067-3 1.250000+0 3.679036-3 1.273503+0 3.550978-3 1.288250+0 3.474291-3 1.303167+0 3.402038-3 1.318257+0 3.331286-3 1.333521+0 3.262032-3 1.364583+0 3.127805-3 1.396368+0 2.999106-3 1.412538+0 2.936754-3 1.428894+0 2.875879-3 1.445440+0 2.818394-3 1.462177+0 2.762061-3 1.548817+0 2.496926-3 1.566751+0 2.447182-3 1.584893+0 2.400159-3 1.603245+0 2.354041-3 1.621810+0 2.308807-3 1.698244+0 2.136459-3 1.717908+0 2.095422-3 1.737801+0 2.055290-3 1.778279+0 1.980109-3 1.798871+0 1.943555-3 1.905461+0 1.770721-3 1.927525+0 1.738045-3 1.949845+0 1.706065-3 1.995262+0 1.646076-3 2.018366+0 1.616876-3 2.137962+0 1.478512-3 2.187762+0 1.426541-3 2.213095+0 1.401317-3 2.264644+0 1.353854-3 2.290868+0 1.330728-3 2.426610+0 1.220929-3 2.483133+0 1.179589-3 2.511886+0 1.159504-3 2.570396+0 1.121671-3 2.600160+0 1.103220-3 2.786121+0 9.987508-4 2.851018+0 9.661741-4 2.884032+0 9.503302-4 2.951209+0 9.204571-4 2.985383+0 9.058743-4 3.198895+0 8.231311-4 3.273407+0 7.972649-4 3.311311+0 7.846715-4 3.427678+0 7.492300-4 3.467369+0 7.377756-4 3.715352+0 6.726551-4 3.801894+0 6.522515-4 3.845918+0 6.423086-4 4.027170+0 6.052011-4 4.073803+0 5.962641-4 4.415704+0 5.373109-4 4.518559+0 5.215640-4 4.570882+0 5.138839-4 4.786301+0 4.851740-4 4.841724+0 4.782508-4 5.308844+0 4.263200-4 5.432503+0 4.142435-4 5.495409+0 4.083485-4 5.754399+0 3.862573-4 5.821032+0 3.809238-4 6.456542+0 3.361296-4 6.606934+0 3.269137-4 6.683439+0 3.224109-4 7.079458+0 3.013717-4 7.161434+0 2.973317-4 8.035261+0 2.598018-4 8.222427+0 2.528845-4 8.317638+0 2.495027-4 8.810489+0 2.336811-4 8.912509+0 2.306393-4 1.011579+1 1.996899-4 1.035142+1 1.945263-4 1.047129+1 1.919994-4 1.122018+1 1.778284-4 1.135011+1 1.755703-4 1.364583+1 1.431104-4 1.380384+1 1.412936-4 1.400000+1 1.391024-4 1.462177+1 1.327139-4 1.479108+1 1.310710-4 1.905461+1 9.965927-5 1.927525+1 9.842585-5 1.972423+1 9.605574-5 1.995262+1 9.489221-5 2.000000+1 9.465426-5 2.818383+1 6.583707-5 2.884032+1 6.428049-5 2.917427+1 6.351607-5 4.415704+1 4.129254-5 4.466836+1 4.080156-5 4.518559+1 4.032375-5 4.570882+1 3.985154-5 4.677351+1 3.892366-5 8.222427+1 2.185619-5 8.511380+1 2.109742-5 8.609938+1 2.085060-5 8.709636+1 2.060920-5 9.120108+1 1.967124-5 1.640590+2 1.086250-5 1.698244+2 1.048960-5 1.717908+2 1.036822-5 1.737801+2 1.024879-5 1.819701+2 9.784675-6 3.273407+2 5.419366-6 3.388442+2 5.234249-6 3.427678+2 5.173982-6 3.467369+2 5.114669-6 3.630781+2 4.884139-6 5.188000+3 3.405105-7 5.370318+3 3.289341-7 5.432503+3 3.251639-7 5.495409+3 3.214413-7 5.754399+3 3.069726-7 1.000000+5 1.765964-8 1 18000 7 0 3.994800+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 1.443000-5 1.443000-5 1.462000-5 1.443000-5 1.462000-5 1.449119-5 2.892000-5 1.449636-5 2.892000-5 1.473255-5 3.020000-5 1.493512-5 3.150000-5 1.523795-5 3.260000-5 1.557788-5 3.400000-5 1.611359-5 3.770000-5 1.776080-5 3.910000-5 1.829210-5 4.030000-5 1.865269-5 4.150000-5 1.892071-5 4.300000-5 1.913789-5 4.466836-5 1.925682-5 4.680000-5 1.928326-5 5.011872-5 1.917074-5 6.237348-5 1.853664-5 7.000000-5 1.825389-5 8.035261-5 1.800375-5 9.332543-5 1.782589-5 1.135011-4 1.770385-5 1.412538-4 1.766685-5 1.850000-4 1.774068-5 2.470900-4 1.794246-5 2.470900-4 2.818255-5 2.476000-4 2.889694-5 2.479000-4 2.926400-5 2.486700-4 2.985042-5 2.494300-4 3.031958-5 2.494300-4 3.070660-5 2.506200-4 3.110551-5 2.523000-4 3.136129-5 2.556000-4 3.146589-5 2.710000-4 3.155259-5 3.134300-4 3.150535-5 3.134300-4 3.359903-5 3.758374-4 3.424432-5 4.897788-4 3.505422-5 7.079458-4 3.627437-5 9.440609-4 3.737516-5 1.273503-3 3.864350-5 1.698244-3 3.997176-5 2.162719-3 4.112784-5 2.722701-3 4.223238-5 3.177600-3 4.295772-5 3.177600-3 6.426548-5 3.890451-3 6.455149-5 6.918310-3 6.498360-5 1.566751-2 6.529587-5 6.237348-2 6.548205-5 1.000000+5 6.553579-5 1 18000 7 7 3.994800+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.443000-5 0.0 2.470900-4 0.0 2.470900-4 2.488099-8 2.476000-4 2.661560-8 2.479000-4 2.750694-8 2.479700-4 2.760225-8 2.486700-4 2.893077-8 2.494300-4 3.007007-8 2.494300-4 3.093436-8 2.498000-4 3.126489-8 2.506200-4 3.187384-8 2.516600-4 3.228416-8 2.525000-4 3.248390-8 2.556000-4 3.270390-8 2.615300-4 3.285582-8 2.722701-4 3.290046-8 3.090295-4 3.274900-8 3.134300-4 3.275506-8 3.134300-4 3.475826-8 3.981072-4 3.550941-8 5.432503-4 3.625590-8 7.673615-4 3.716889-8 1.122018-3 3.832539-8 1.566751-3 3.948300-8 2.065380-3 4.050303-8 2.722701-3 4.153325-8 3.177600-3 4.210058-8 3.177600-3 2.991491-4 3.388442-3 3.007789-4 5.188000-3 3.037753-4 8.317638-3 3.056935-4 1.659587-2 3.069233-4 7.943282-2 3.074706-4 1.000000+5 3.074530-4 1 18000 7 9 3.994800+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.443000-5 0.0 1.462000-5 1.900000-7 1.462000-5 1.288104-7 2.892000-5 1.442364-5 2.892000-5 1.418745-5 3.020000-5 1.526488-5 3.150000-5 1.626205-5 3.260000-5 1.702212-5 3.400000-5 1.788641-5 3.770000-5 1.993920-5 3.910000-5 2.080790-5 4.073803-5 2.197619-5 4.220000-5 2.315987-5 4.420000-5 2.496689-5 4.680000-5 2.751674-5 5.230000-5 3.324022-5 6.580000-5 4.740305-5 8.511380-5 6.718803-5 1.364583-4 1.187960-4 2.470900-4 2.291475-4 2.470900-4 2.188825-4 2.479700-4 2.186391-4 2.494300-4 2.190803-4 2.494300-4 2.186924-4 2.525000-4 2.210951-4 3.134300-4 2.818919-4 3.134300-4 2.797962-4 1.047129-3 1.009291-3 3.177600-3 3.134600-3 3.177600-3 2.814185-3 4.841724-2 4.804437-2 1.000000+5 1.000000+5 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 3.177600-3 7.780990+4 3.350000-3 7.045364+4 3.600000-3 5.898580+4 4.677351-3 3.002660+4 5.069907-3 2.435282+4 6.309573-3 1.356464+4 7.673615-3 7.928387+3 8.810489-3 5.390591+3 1.035142-2 3.416589+3 1.244515-2 2.012468+3 1.513561-2 1.137276+3 1.840772-2 6.375802+2 2.238721-2 3.548394+2 2.786121-2 1.828746+2 3.507519-2 9.027684+1 4.500000-2 4.171360+1 5.956621-2 1.734667+1 7.762471-2 7.520498+0 1.303167-1 1.460202+0 1.798871-1 5.300340-1 2.137962-1 3.100950-1 2.483133-1 1.962008-1 2.884032-1 1.250355-1 3.273407-1 8.604564-2 3.672823-1 6.170732-2 4.073803-1 4.605940-2 4.518559-1 3.462361-2 5.011872-1 2.622895-2 5.495409-1 2.063800-2 6.025596-1 1.635342-2 6.606935-1 1.305516-2 7.244360-1 1.051200-2 7.943282-1 8.528385-3 8.810489-1 6.796207-3 9.549926-1 5.732077-3 1.047129+0 4.755960-3 1.161449+0 3.874780-3 1.288250+0 3.181756-3 1.428894+0 2.633709-3 1.566751+0 2.241090-3 1.737801+0 1.882202-3 1.949845+0 1.562398-3 2.213095+0 1.283327-3 2.511886+0 1.061875-3 2.884032+0 8.703094-4 3.311311+0 7.185982-4 3.845918+0 5.882233-4 4.570882+0 4.706135-4 5.495409+0 3.739650-4 6.683439+0 2.952643-4 8.317638+0 2.284948-4 1.047129+1 1.758340-4 1.400000+1 1.273900-4 1.927525+1 9.013995-5 2.818383+1 6.029479-5 4.466836+1 3.736674-5 8.609938+1 1.909519-5 1.717908+2 9.495388-6 3.427678+2 4.738422-6 5.432503+3 2.977913-7 1.000000+5 1.617300-8 1 18000 7 0 3.994800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 3.177600-3 6.687000-5 1.000000+5 6.687000-5 1 18000 7 7 3.994800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.177600-3 3.357100-4 1.000000+5 3.357100-4 1 18000 7 9 3.994800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.177600-3 2.775020-3 1.000000+5 1.000000+5 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 3.134300-4 2.865000+5 3.273407-4 2.840945+5 3.427678-4 2.793561+5 3.589219-4 2.726079+5 3.758374-4 2.641283+5 3.935501-4 2.542135+5 4.027170-4 2.488122+5 4.623810-4 2.095911+5 4.897788-4 1.938917+5 5.308844-4 1.722600+5 6.165950-4 1.370216+5 6.700000-4 1.198464+5 7.500000-4 9.896840+4 8.413951-4 8.093618+4 9.332543-4 6.702887+4 1.071519-3 5.169219+4 1.202264-3 4.133263+4 1.380384-3 3.134723+4 1.566751-3 2.414376+4 1.800000-3 1.799534+4 2.065380-3 1.333901+4 2.371374-3 9.800874+3 2.722701-3 7.148905+3 3.162278-3 5.038733+3 3.678900-3 3.508035+3 4.265795-3 2.442367+3 4.954502-3 1.680088+3 5.754399-3 1.146857+3 6.683439-3 7.771354+2 7.762471-3 5.229497+2 9.120108-3 3.388125+2 1.071519-2 2.179098+2 1.273503-2 1.347361+2 1.513561-2 8.266361+1 1.798871-2 5.034323+1 2.162719-2 2.943279+1 2.600160-2 1.707790+1 3.162278-2 9.505115+0 3.890451-2 5.071543+0 4.841724-2 2.593276+0 6.237348-2 1.183039+0 8.128305-2 5.165635-1 1.412538-1 9.111177-2 1.840772-1 3.983165-2 2.187762-1 2.337803-2 2.540973-1 1.483185-2 2.917427-1 9.805884-3 3.311311-1 6.759668-3 3.715352-1 4.855040-3 4.120975-1 3.628761-3 4.570882-1 2.731401-3 5.011872-1 2.135617-3 5.495409-1 1.680920-3 6.025596-1 1.332278-3 6.623700-1 1.057304-3 7.244360-1 8.566258-4 7.943282-1 6.949845-4 8.810489-1 5.537197-4 9.549926-1 4.669048-4 1.047129+0 3.873396-4 1.161449+0 3.155389-4 1.273503+0 2.647390-4 1.412538+0 2.189714-4 1.548817+0 1.861977-4 1.717908+0 1.562611-4 1.927525+0 1.296040-4 2.187762+0 1.063658-4 2.483133+0 8.795443-5 2.851018+0 7.204648-5 3.273407+0 5.945452-5 3.801894+0 4.864103-5 4.518559+0 3.889501-5 5.432503+0 3.089226-5 6.606934+0 2.437986-5 8.222427+0 1.885932-5 1.035142+1 1.450731-5 1.380384+1 1.053766-5 1.927525+1 7.341705-6 2.818383+1 4.910781-6 4.466836+1 3.043450-6 8.511380+1 1.573631-6 1.698244+2 7.824165-7 3.388442+2 3.904180-7 5.370318+3 2.453523-8 1.000000+5 1.317300-9 1 18000 7 0 3.994800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 3.134300-4 5.382800-5 1.000000+5 5.382800-5 1 18000 7 7 3.994800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.134300-4 5.411300-8 1.000000+5 5.411300-8 1 18000 7 9 3.994800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.134300-4 2.595479-4 1.000000+5 1.000000+5 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.494300-4 4.087300+5 2.495200-4 4.261300+5 2.498000-4 4.872700+5 2.501000-4 5.588700+5 2.504000-4 6.360800+5 2.506200-4 6.962300+5 2.509200-4 7.822900+5 2.512000-4 8.666900+5 2.514000-4 9.286300+5 2.514700-4 9.242400+5 2.515500-4 9.509200+5 2.516600-4 9.761000+5 2.523000-4 1.097900+6 2.543000-4 1.184800+6 2.553000-4 1.198600+6 2.554000-4 1.204501+6 2.600160-4 1.210829+6 2.615300-4 1.204507+6 2.665000-4 1.177616+6 2.760000-4 1.093123+6 2.851018-4 1.012750+6 2.951209-4 9.403248+5 3.090295-4 8.685021+5 3.100000-4 8.663400+5 3.200000-4 8.157000+5 3.935501-4 5.274400+5 4.150000-4 4.687000+5 4.415704-4 4.046500+5 5.069907-4 2.877200+5 5.559043-4 2.278900+5 6.095369-4 1.790800+5 7.079458-4 1.198400+5 7.852356-4 9.026100+4 9.015711-4 6.126800+4 1.023293-3 4.268600+4 1.174898-3 2.851100+4 1.318257-3 2.025200+4 1.531087-3 1.286700+4 1.757924-3 8.399300+3 2.041738-3 5.249700+3 2.371374-3 3.255100+3 2.722701-3 2.079300+3 3.126079-3 1.319600+3 3.589219-3 8.319000+2 4.168694-3 5.009300+2 4.841724-3 2.993600+2 5.623413-3 1.776000+2 6.606934-3 1.004800+2 7.762471-3 5.642900+1 9.225714-3 3.018400+1 1.096478-2 1.602700+1 1.303167-2 8.449700+0 1.566751-2 4.237500+0 1.927525-2 1.933500+0 2.398833-2 8.375700-1 3.126079-2 3.016900-1 6.237348-2 2.070378-2 7.943282-2 8.150055-3 9.660509-2 3.859038-3 1.148154-1 2.009910-3 1.348963-1 1.101835-3 1.566751-1 6.353126-4 1.819701-1 3.692675-4 2.065380-1 2.349577-4 2.317395-1 1.568255-4 2.600160-1 1.054332-4 2.884032-1 7.424934-5 3.198895-1 5.264718-5 3.548134-1 3.761282-5 3.935501-1 2.707992-5 4.365158-1 1.964936-5 4.841724-1 1.436681-5 5.308844-1 1.095387-5 5.821032-1 8.411575-6 6.309573-1 6.719199-6 6.918310-1 5.235575-6 8.035261-1 3.527666-6 8.609938-1 2.958383-6 9.120108-1 2.569419-6 9.660509-1 2.245844-6 1.023293+0 1.977712-6 1.096478+0 1.710693-6 1.161449+0 1.525310-6 1.250000+0 1.327900-6 1.364583+0 1.133895-6 1.584893+0 8.764345-7 1.778279+0 7.228341-7 1.995262+0 6.004408-7 2.264644+0 4.937708-7 2.570396+0 4.090939-7 2.951209+0 3.357681-7 3.427678+0 2.732764-7 4.027170+0 2.207134-7 4.786301+0 1.769440-7 5.754399+0 1.408760-7 7.079458+0 1.099146-7 8.810489+0 8.522840-8 1.122018+1 6.486351-8 1.462177+1 4.841067-8 1.972423+1 3.505241-8 2.884032+1 2.345572-8 4.570882+1 1.454250-8 8.709636+1 7.521470-9 1.737801+2 3.740461-9 3.467369+2 1.866649-9 5.495409+3 1.17320-10 1.000000+5 6.44550-12 1 18000 7 0 3.994800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.494300-4 3.282400-5 1.000000+5 3.282400-5 1 18000 7 7 3.994800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.494300-4 3.566300-8 1.000000+5 3.566300-8 1 18000 7 9 3.994800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.494300-4 2.165703-4 1.000000+5 1.000000+5 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 2.470900-4 8.283360+5 2.472000-4 8.688800+5 2.474000-4 9.566520+5 2.476000-4 1.050056+6 2.479000-4 1.199664+6 2.479700-4 1.217239+6 2.486700-4 1.515901+6 2.494500-4 1.890817+6 2.495200-4 1.923247+6 2.505000-4 2.170168+6 2.506000-4 2.211527+6 2.525000-4 2.374216+6 2.556000-4 2.470690+6 2.600160-4 2.524574+6 2.606800-4 2.524983+6 2.647000-4 2.502015+6 2.710000-4 2.419190+6 2.760000-4 2.302600+6 2.818383-4 2.197098+6 2.890000-4 2.049505+6 2.930700-4 1.967894+6 3.054921-4 1.784925+6 3.080000-4 1.746212+6 3.162278-4 1.660860+6 3.311311-4 1.508910+6 3.935501-4 1.044736+6 4.120975-4 9.422798+5 4.365158-4 8.223345+5 4.841724-4 6.367523+5 5.432503-4 4.764929+5 5.888437-4 3.863306+5 6.839116-4 2.586505+5 7.673615-4 1.888394+5 8.709636-4 1.324432+5 9.885531-4 9.233090+4 1.122018-3 6.384640+4 1.273503-3 4.385912+4 1.450000-3 2.962464+4 1.659587-3 1.956088+4 1.927525-3 1.224248+4 2.213095-3 7.886328+3 2.540973-3 5.046493+3 2.917427-3 3.207745+3 3.349654-3 2.025286+3 3.845918-3 1.270105+3 4.466836-3 7.604494+2 5.188000-3 4.517814+2 6.025596-3 2.665292+2 7.079458-3 1.498460+2 8.317638-3 8.364495+1 9.772372-3 4.636564+1 1.161449-2 2.445433+1 1.380384-2 1.280415+1 1.659587-2 6.371933+0 2.018366-2 3.011605+0 2.483133-2 1.351148+0 3.162278-2 5.260701-1 4.466836-2 1.353699-1 7.079458-2 2.210418-2 8.912509-2 8.983152-3 1.071519-1 4.400440-3 1.288250-1 2.172064-3 1.479108-1 1.287489-3 1.678804-1 8.024609-4 1.905461-1 5.037396-4 2.137962-1 3.323315-4 2.371374-1 2.301195-4 2.630268-1 1.604830-4 2.884032-1 1.172543-4 3.162278-1 8.624007-5 3.467369-1 6.387911-5 3.801894-1 4.767564-5 4.120975-1 3.715395-5 4.466836-1 2.914952-5 4.841724-1 2.302781-5 5.248075-1 1.831999-5 5.623413-1 1.514970-5 6.095369-1 1.222186-5 6.606935-1 9.928522-6 7.161434-1 8.118121-6 7.762471-1 6.681439-6 8.459000-1 5.468910-6 9.120108-1 4.613548-6 9.772372-1 3.972953-6 1.071519+0 3.286882-6 1.161449+0 2.800950-6 1.273503+0 2.352799-6 1.396368+0 1.989655-6 1.548817+0 1.659412-6 1.737801+0 1.366628-6 1.949845+0 1.134076-6 2.187762+0 9.476734-7 2.483133+0 7.836016-7 2.851018+0 6.419517-7 3.311311+0 5.215313-7 3.845918+0 4.269083-7 4.570882+0 3.415520-7 5.495409+0 2.714077-7 6.683439+0 2.142840-7 8.317638+0 1.658371-7 1.047129+1 1.276123-7 1.400000+1 9.245400-8 1.927525+1 6.541986-8 2.818383+1 4.375868-8 4.518559+1 2.679902-8 8.709636+1 1.369743-8 1.737801+2 6.811743-9 3.467369+2 3.399403-9 5.495409+3 2.13652-10 1.000000+5 1.17380-11 1 18000 7 0 3.994800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 2.470900-4 3.266200-5 1.000000+5 3.266200-5 1 18000 7 7 3.994800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.470900-4 3.576500-8 1.000000+5 3.576500-8 1 18000 7 9 3.994800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.470900-4 2.143922-4 1.000000+5 1.000000+5 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.892000-5 8.099600+4 2.920000-5 8.758780+4 2.951209-5 9.498113+4 2.990000-5 1.042176+5 3.020000-5 1.114110+5 3.060000-5 1.209422+5 3.100000-5 1.304652+5 3.150000-5 1.422490+5 3.210000-5 1.561470+5 3.260000-5 1.675158+5 3.315000-5 1.797462+5 3.370000-5 1.916392+5 3.427678-5 2.037304+5 3.507519-5 2.198110+5 3.589219-5 2.354453+5 3.672823-5 2.505869+5 3.770000-5 2.670820+5 3.850000-5 2.797800+5 3.950000-5 2.945440+5 4.073803-5 3.111743+5 4.216965-5 3.282404+5 4.365158-5 3.436124+5 4.518559-5 3.572793+5 4.677351-5 3.691957+5 4.850000-5 3.798180+5 5.011872-5 3.877966+5 5.230000-5 3.958740+5 5.432503-5 4.009612+5 5.688529-5 4.045355+5 5.956621-5 4.054053+5 6.237348-5 4.037582+5 6.531306-5 3.997972+5 6.918310-5 3.919105+5 7.328245-5 3.811652+5 7.800000-5 3.668800+5 8.317638-5 3.499915+5 8.912509-5 3.300846+5 9.549926-5 3.091276+5 1.040000-4 2.827900+5 1.135011-4 2.562492+5 1.260000-4 2.260580+5 1.412538-4 1.956837+5 1.584893-4 1.680001+5 1.757924-4 1.454906+5 1.950000-4 1.251216+5 2.187762-4 1.050128+5 2.511886-4 8.439911+4 3.054921-4 6.144341+4 3.507519-4 4.882349+4 3.981072-4 3.925910+4 4.677351-4 2.947577+4 5.559043-4 2.152482+4 6.531306-4 1.593240+4 8.128305-4 1.050853+4 9.332543-4 8.026125+3 1.096478-3 5.816558+3 1.273503-3 4.283574+3 1.479108-3 3.131423+3 1.698244-3 2.327468+3 1.972423-3 1.674875+3 2.290868-3 1.195892+3 2.660725-3 8.475056+2 3.090295-3 5.961970+2 3.589219-3 4.164669+2 4.168694-3 2.888622+2 4.841724-3 1.989342+2 5.623413-3 1.360137+2 6.606934-3 8.960901+1 7.762471-3 5.857310+1 9.120108-3 3.799336+1 1.071519-2 2.445918+1 1.258925-2 1.563148+1 1.500000-2 9.534490+0 1.798871-2 5.666080+0 2.137962-2 3.430131+0 2.570396-2 1.993272+0 3.126079-2 1.110997+0 3.845918-2 5.934527-1 4.841724-2 2.932543-1 6.165950-2 1.388054-1 8.609938-2 4.884314-2 1.513561-1 8.320743-3 1.883649-1 4.208303-3 2.264644-1 2.386509-3 2.630268-1 1.515615-3 3.019952-1 1.004150-3 3.427678-1 6.936684-4 3.845918-1 4.993159-4 4.265795-1 3.740423-4 4.731513-1 2.822686-4 5.188000-1 2.212732-4 5.688529-1 1.746451-4 6.237348-1 1.388344-4 6.839117-1 1.111965-4 7.498942-1 8.972843-5 8.222427-1 7.294597-5 8.912509-1 6.123303-5 9.660509-1 5.172589-5 1.096478+0 4.010573-5 1.202264+0 3.351472-5 1.318257+0 2.818382-5 1.462177+0 2.336669-5 1.621810+0 1.952775-5 1.798871+0 1.643800-5 2.018366+0 1.367533-5 2.290868+0 1.125577-5 2.600160+0 9.331306-6 2.985383+0 7.662661-6 3.467369+0 6.240228-6 4.073803+0 5.042721-6 4.841724+0 4.044818-6 5.821032+0 3.221726-6 7.161434+0 2.514806-6 8.912509+0 1.950772-6 1.135011+1 1.485102-6 1.479108+1 1.108704-6 2.000000+1 8.010000-7 2.917427+1 5.374765-7 4.677351+1 3.293607-7 9.120108+1 1.664613-7 1.819701+2 8.280892-8 3.630781+2 4.133543-8 5.754399+3 2.598365-9 1.000000+5 1.49480-10 1 18000 7 0 3.994800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.892000-5 2.892000-5 1.000000+5 2.892000-5 1 18000 7 9 3.994800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.892000-5 0.0 1.000000+5 1.000000+5 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.462000-5 1.667022+7 1.496236-5 1.786627+7 1.531087-5 1.899024+7 1.570000-5 2.010560+7 1.603245-5 2.091235+7 1.630000-5 2.146160+7 1.660000-5 2.194920+7 1.690000-5 2.228240+7 1.720000-5 2.245660+7 1.750000-5 2.247040+7 1.778279-5 2.233512+7 1.800000-5 2.213400+7 1.830000-5 2.172400+7 1.862087-5 2.112665+7 1.885000-5 2.061180+7 1.910000-5 1.997724+7 1.935000-5 1.927956+7 1.965000-5 1.837606+7 1.995262-5 1.741265+7 2.030000-5 1.627066+7 2.070000-5 1.494342+7 2.110000-5 1.363752+7 2.150000-5 1.238092+7 2.190000-5 1.119320+7 2.238721-5 9.856818+6 2.290868-5 8.570311+6 2.350000-5 7.291580+6 2.426610-5 5.900959+6 2.511886-5 4.661927+6 2.610000-5 3.563680+6 2.754229-5 2.422761+6 3.090295-5 1.049600+6 3.198895-5 8.205874+5 3.300000-5 6.615760+5 3.370000-5 5.750760+5 3.450000-5 4.950120+5 3.507519-5 4.477302+5 3.570000-5 4.045280+5 3.630781-5 3.694628+5 3.690000-5 3.409340+5 3.750000-5 3.168900+5 3.801894-5 2.995041+5 3.850000-5 2.858540+5 3.910000-5 2.717391+5 3.970000-5 2.604280+5 4.030000-5 2.515320+5 4.090000-5 2.447120+5 4.150000-5 2.396760+5 4.220000-5 2.357280+5 4.280000-5 2.337460+5 4.350000-5 2.328240+5 4.420000-5 2.331360+5 4.518559-5 2.352881+5 4.623810-5 2.393000+5 4.731513-5 2.447577+5 4.900000-5 2.551120+5 5.500000-5 2.971640+5 5.754399-5 3.136474+5 6.025596-5 3.290602+5 6.300000-5 3.420320+5 6.580000-5 3.524760+5 6.839116-5 3.597383+5 7.150000-5 3.656300+5 7.413102-5 3.684143+5 7.762471-5 3.693741+5 8.150000-5 3.674100+5 8.511380-5 3.633126+5 8.912509-5 3.567695+5 9.332543-5 3.482458+5 9.900000-5 3.350040+5 1.047129-4 3.205678+5 1.109175-4 3.043924+5 1.190000-4 2.835580+5 1.273503-4 2.629366+5 1.364583-4 2.418890+5 1.462177-4 2.211387+5 1.584893-4 1.976016+5 1.698244-4 1.782093+5 1.840772-4 1.567568+5 2.000000-4 1.362010+5 2.162719-4 1.185203+5 2.400000-4 9.771420+4 2.691535-4 7.836003+4 3.000000-4 6.310640+4 3.311311-4 5.141758+4 3.630781-4 4.215580+4 4.027170-4 3.344486+4 4.518559-4 2.566404+4 5.069907-4 1.954989+4 5.754399-4 1.437119+4 6.606934-4 1.019343+4 7.498942-4 7.389006+3 8.317638-4 5.643936+3 9.332543-4 4.152062+3 1.047129-3 3.034197+3 1.174898-3 2.201794+3 1.318257-3 1.586760+3 1.479108-3 1.135730+3 1.659587-3 8.071186+2 1.883649-3 5.502840+2 2.162719-3 3.595155+2 2.483133-3 2.330902+2 2.851018-3 1.499990+2 3.311311-3 9.231741+1 3.801894-3 5.855344+1 4.365158-3 3.687605+1 5.069907-3 2.217242+1 5.888437-3 1.322812+1 6.839116-3 7.830740+0 8.035261-3 4.416947+0 9.440609-3 2.472350+0 1.122018-2 1.317491+0 1.333521-2 6.968284-1 1.603245-2 3.504788-1 1.949845-2 1.675219-1 2.398833-2 7.605227-2 3.090295-2 2.872956-2 6.839116-2 1.331314-3 8.709636-2 5.267511-4 1.059254-1 2.504966-4 1.258925-1 1.309839-4 1.462177-1 7.520990-5 1.678804-1 4.537780-5 1.905461-1 2.874859-5 2.162719-1 1.834578-5 2.426610-1 1.228030-5 2.722701-1 8.279911-6 3.019952-1 5.845981-6 3.349654-1 4.155021-6 3.715352-1 2.975029-6 4.073803-1 2.225591-6 4.466836-1 1.676361-6 4.897788-1 1.270936-6 5.370318-1 9.697540-7 5.888437-1 7.450193-7 6.456542-1 5.767097-7 7.079458-1 4.497921-7 7.762471-1 3.534200-7 8.609938-1 2.705138-7 9.120108-1 2.344491-7 9.660509-1 2.045459-7 1.011579+0 1.844581-7 1.083927+0 1.592045-7 1.148154+0 1.417209-7 1.230269+0 1.242603-7 1.333521+0 1.073716-7 1.462177+0 9.152172-8 1.698244+0 7.099939-8 1.905461+0 5.879549-8 2.137962+0 4.906390-8 2.426610+0 4.051614-8 2.786121+0 3.314595-8 3.198895+0 2.732131-8 3.715352+0 2.232716-8 4.415704+0 1.783481-8 5.308844+0 1.415165-8 6.456542+0 1.115829-8 8.035261+0 8.624481-9 1.011579+1 6.629087-9 1.364583+1 4.751500-9 1.905461+1 3.309348-9 2.818383+1 2.186639-9 4.415704+1 1.371300-9 8.222427+1 7.25740-10 1.640590+2 3.60742-10 3.273407+2 1.79974-10 5.188000+3 1.13086-11 1.000000+5 5.86540-13 1 18000 7 0 3.994800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.462000-5 1.462000-5 1.000000+5 1.462000-5 1 18000 7 9 3.994800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.462000-5 0.0 1.000000+5 1.000000+5 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.443000-5 3.379932+7 1.479108-5 3.628424+7 1.500000-5 3.763732+7 1.530000-5 3.943580+7 1.560000-5 4.104480+7 1.590000-5 4.241720+7 1.621810-5 4.359861+7 1.650000-5 4.438680+7 1.680000-5 4.492680+7 1.710000-5 4.514400+7 1.740000-5 4.503000+7 1.770000-5 4.459200+7 1.800000-5 4.384120+7 1.830000-5 4.279880+7 1.860000-5 4.149600+7 1.885000-5 4.023720+7 1.910000-5 3.884848+7 1.935000-5 3.735460+7 1.965000-5 3.545852+7 2.000000-5 3.315768+7 2.030000-5 3.115388+7 2.070000-5 2.849760+7 2.110000-5 2.591680+7 2.150000-5 2.345848+7 2.190000-5 2.115380+7 2.238721-5 1.857914+7 2.290868-5 1.611675+7 2.350000-5 1.368288+7 2.426610-5 1.104977+7 2.511886-5 8.713382+6 2.610000-5 6.650160+6 2.754229-5 4.514913+6 3.054921-5 2.125295+6 3.162278-5 1.661756+6 3.260000-5 1.346380+6 3.330000-5 1.168576+6 3.400000-5 1.022972+6 3.470000-5 9.039880+5 3.520000-5 8.327360+5 3.570000-5 7.713240+5 3.630781-5 7.081859+5 3.690000-5 6.571520+5 3.750000-5 6.144720+5 3.801894-5 5.838812+5 3.850000-5 5.600920+5 3.910000-5 5.357923+5 3.970000-5 5.166640+5 4.030000-5 5.019760+5 4.090000-5 4.910920+5 4.150000-5 4.834800+5 4.220000-5 4.781040+5 4.300000-5 4.758160+5 4.370000-5 4.766040+5 4.466836-5 4.810809+5 4.570882-5 4.893139+5 4.680000-5 5.007400+5 4.850000-5 5.222600+5 5.432503-5 6.058663+5 5.688529-5 6.397402+5 5.956621-5 6.707281+5 6.220000-5 6.961480+5 6.500000-5 7.176040+5 6.760830-5 7.325468+5 7.000000-5 7.422080+5 7.328245-5 7.497963+5 7.673615-5 7.516962+5 8.035261-5 7.480833+5 8.413951-5 7.392652+5 8.810489-5 7.258202+5 9.300000-5 7.051080+5 9.800000-5 6.808000+5 1.040000-4 6.493000+5 1.109175-4 6.121185+5 1.188502-4 5.700359+5 1.273503-4 5.271127+5 1.364583-4 4.842652+5 1.480000-4 4.348760+5 1.584893-4 3.945199+5 1.720000-4 3.484364+5 1.850000-4 3.096112+5 2.000000-4 2.710044+5 2.187762-4 2.306380+5 2.426610-4 1.898966+5 2.722701-4 1.518285+5 3.019952-4 1.232461+5 3.311311-4 1.016814+5 3.630781-4 8.327482+4 4.000000-4 6.702160+4 4.415704-4 5.336993+4 5.011872-4 3.957638+4 5.623413-4 2.990909+4 6.531306-4 2.060457+4 7.413102-4 1.492407+4 8.413951-4 1.071471+4 9.440609-4 7.872451+3 1.059254-3 5.743415+3 1.188502-3 4.160268+3 1.333521-3 2.992718+3 1.500000-3 2.122274+3 1.698244-3 1.464725+3 1.927525-3 9.958461+2 2.213095-3 6.488019+2 2.540973-3 4.194758+2 2.917427-3 2.691622+2 3.388442-3 1.650944+2 3.890451-3 1.043814+2 4.466836-3 6.552521+1 5.128614-3 4.083522+1 5.956621-3 2.425526+1 6.918310-3 1.429803+1 8.128305-3 8.030303+0 9.549926-3 4.477625+0 1.122018-2 2.478544+0 1.333521-2 1.305124+0 1.584893-2 6.820361-1 1.905461-2 3.386885-1 2.317395-2 1.596995-1 2.917427-2 6.538066-2 3.890451-2 2.121876-2 7.079458-2 2.020242-3 9.120108-2 7.520143-4 1.109175-1 3.528947-4 1.303167-1 1.905416-4 1.513561-1 1.083123-4 1.717908-1 6.760952-5 1.927525-1 4.433561-5 2.162719-1 2.927387-5 2.398833-1 2.028482-5 2.660725-1 1.415892-5 2.917427-1 1.035567-5 3.198895-1 7.626600-6 3.507519-1 5.658328-6 3.845918-1 4.230779-6 4.168694-1 3.302480-6 4.518559-1 2.594762-6 4.897788-1 2.052667-6 5.308844-1 1.635722-6 5.754399-1 1.312889-6 6.237348-1 1.061338-6 6.760830-1 8.641296-7 7.328245-1 7.085243-7 7.943282-1 5.849909-7 8.609938-1 4.859968-7 9.332543-1 4.067372-7 1.000000+0 3.513700-7 1.096478+0 2.914089-7 1.188502+0 2.489586-7 1.303167+0 2.094065-7 1.445440+0 1.737162-7 1.603245+0 1.451681-7 1.798871+0 1.198393-7 2.018366+0 9.966593-8 2.290868+0 8.200963-8 2.600160+0 6.799016-8 2.985383+0 5.584273-8 3.467369+0 4.547682-8 4.073803+0 3.674967-8 4.841724+0 2.947721-8 5.821032+0 2.347926-8 7.161434+0 1.832697-8 8.912509+0 1.421590-8 1.135011+1 1.082324-8 1.479108+1 8.080167-9 1.995262+1 5.852258-9 2.917427+1 3.916899-9 4.677351+1 2.400294-9 9.120108+1 1.213102-9 1.819701+2 6.03496-10 3.630781+2 3.01246-10 5.754399+3 1.89362-11 1.000000+5 1.08940-12 1 18000 7 0 3.994800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.443000-5 1.443000-5 1.000000+5 1.443000-5 1 18000 7 9 3.994800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.443000-5 0.0 1.000000+5 1.000000+5 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.312590-8 1.028750+0 1.312590-7 1.036640+0 1.312590-6 1.038200+0 1.771380-6 1.039700+0 2.301380-6 1.041500+0 3.061960-6 1.043800+0 4.250110-6 1.046400+0 5.913230-6 1.048300+0 7.362140-6 1.051200+0 9.986580-6 1.054080+0 1.312590-5 1.057700+0 1.789140-5 1.061100+0 2.327210-5 1.065100+0 3.080940-5 1.070400+0 4.298200-5 1.076200+0 5.940070-5 1.080600+0 7.418170-5 1.087100+0 9.994800-5 1.093710+0 1.312590-4 1.102600+0 1.819980-4 1.110700+0 2.373770-4 1.120600+0 3.175660-4 1.133300+0 4.415810-4 1.147500+0 6.097610-4 1.158200+0 7.578050-4 1.174100+0 1.012700-3 1.190110+0 1.312590-3 1.205100+0 1.633170-3 1.227500+0 2.185000-3 1.250000+0 2.826000-3 1.280300+0 3.822850-3 1.307700+0 4.852150-3 1.343000+0 6.348640-3 1.382200+0 8.223190-3 1.433800+0 1.100830-2 1.500000+0 1.507000-2 1.562500+0 1.937100-2 1.617200+0 2.347820-2 1.712900+0 3.133730-2 1.784700+0 3.772800-2 1.892300+0 4.795390-2 2.000000+0 5.880000-2 2.044000+0 6.336000-2 2.163500+0 7.596770-2 2.372600+0 9.846460-2 2.529500+0 1.154430-1 2.764700+0 1.407560-1 3.000000+0 1.658000-1 3.437500+0 2.113060-1 4.000000+0 2.670000-1 4.750000+0 3.353100-1 5.000000+0 3.568000-1 6.000000+0 4.371000-1 7.000000+0 5.086000-1 8.000000+0 5.729000-1 9.000000+0 6.311000-1 1.000000+1 6.839000-1 1.100000+1 7.318000-1 1.200000+1 7.757000-1 1.300000+1 8.164000-1 1.400000+1 8.543000-1 1.500000+1 8.897000-1 1.600000+1 9.229000-1 1.800000+1 9.836000-1 2.000000+1 1.038000+0 2.200000+1 1.087000+0 2.400000+1 1.132000+0 2.600000+1 1.172000+0 2.800000+1 1.210000+0 3.000000+1 1.245000+0 4.000000+1 1.388000+0 5.000000+1 1.495000+0 6.000000+1 1.578000+0 8.000000+1 1.702000+0 1.000000+2 1.791000+0 1.500000+2 1.936000+0 2.000000+2 2.024000+0 3.000000+2 2.129000+0 4.000000+2 2.190000+0 5.000000+2 2.230000+0 6.000000+2 2.259000+0 8.000000+2 2.298000+0 1.000000+3 2.323000+0 1.500000+3 2.360000+0 2.000000+3 2.380000+0 3.000000+3 2.402000+0 4.000000+3 2.414000+0 5.000000+3 2.421000+0 6.000000+3 2.426000+0 8.000000+3 2.433000+0 1.000000+4 2.437000+0 1.500000+4 2.443000+0 2.000000+4 2.447000+0 3.000000+4 2.450000+0 4.000000+4 2.452000+0 5.000000+4 2.453000+0 6.000000+4 2.453000+0 8.000000+4 2.454000+0 1.000000+5 2.455000+0 1 18000 7 8 3.994800+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 18000 7 9 3.994800+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 1.807620-7 2.119500+0 1.014520-6 2.127900+0 1.375870-6 2.136250+0 1.807620-6 2.147000+0 2.478370-6 2.156900+0 3.219110-6 2.169000+0 4.296100-6 2.184500+0 5.971730-6 2.201800+0 8.262060-6 2.214800+0 1.029390-5 2.234200+0 1.384710-5 2.253680+0 1.807620-5 2.281500+0 2.531890-5 2.307000+0 3.325630-5 2.338200+0 4.471610-5 2.377400+0 6.192650-5 2.410200+0 7.876010-5 2.446800+0 1.001870-4 2.485900+0 1.261410-4 2.532900+0 1.614340-4 2.556430+0 1.807620-4 2.611900+0 2.304910-4 2.660400+0 2.786490-4 2.745300+0 3.729510-4 2.809000+0 4.516630-4 2.904500+0 5.818430-4 3.000000+0 7.263000-4 3.125000+0 9.365730-4 3.234400+0 1.139650-3 3.425800+0 1.534860-3 3.569300+0 1.861350-3 3.784700+0 2.393140-3 4.000000+0 2.965000-3 4.250000+0 3.664380-3 4.625000+0 4.764060-3 5.000000+0 5.908000-3 5.500000+0 7.479420-3 6.000000+0 9.073000-3 6.750000+0 1.144700-2 7.000000+0 1.223000-2 8.000000+0 1.530000-2 9.000000+0 1.823000-2 1.000000+1 2.103000-2 1.100000+1 2.368000-2 1.200000+1 2.618000-2 1.300000+1 2.855000-2 1.400000+1 3.080000-2 1.500000+1 3.294000-2 1.600000+1 3.497000-2 1.800000+1 3.876000-2 2.000000+1 4.221000-2 2.200000+1 4.539000-2 2.400000+1 4.832000-2 2.600000+1 5.103000-2 2.800000+1 5.356000-2 3.000000+1 5.591000-2 4.000000+1 6.577000-2 5.000000+1 7.337000-2 6.000000+1 7.947000-2 8.000000+1 8.880000-2 1.000000+2 9.573000-2 1.500000+2 1.075000-1 2.000000+2 1.150000-1 3.000000+2 1.245000-1 4.000000+2 1.302000-1 5.000000+2 1.342000-1 6.000000+2 1.372000-1 8.000000+2 1.412000-1 1.000000+3 1.440000-1 1.500000+3 1.480000-1 2.000000+3 1.503000-1 3.000000+3 1.529000-1 4.000000+3 1.544000-1 5.000000+3 1.553000-1 6.000000+3 1.559000-1 8.000000+3 1.568000-1 1.000000+4 1.573000-1 1.500000+4 1.580000-1 2.000000+4 1.585000-1 3.000000+4 1.589000-1 4.000000+4 1.591000-1 5.000000+4 1.593000-1 6.000000+4 1.594000-1 8.000000+4 1.595000-1 1.000000+5 1.596000-1 1 18000 7 8 3.994800+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 18000 7 9 3.994800+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 1.800000+1 1.000000+5 1.800000+1 5.000000+5 1.799400+1 8.750000+5 1.798430+1 1.000000+6 1.798000+1 1.500000+6 1.795700+1 2.000000+6 1.792400+1 2.500000+6 1.788100+1 3.000000+6 1.782900+1 3.750000+6 1.773410+1 4.000000+6 1.769900+1 4.750000+6 1.757830+1 5.000000+6 1.753500+1 6.000000+6 1.733820+1 6.750000+6 1.717240+1 7.000000+6 1.711400+1 8.000000+6 1.686090+1 8.500000+6 1.672630+1 9.000000+6 1.658800+1 1.000000+7 1.629500+1 1.109400+7 1.595370+1 1.125000+7 1.590460+1 1.203100+7 1.564950+1 1.250000+7 1.549400+1 1.375000+7 1.506870+1 1.500000+7 1.463900+1 1.625000+7 1.420550+1 1.687500+7 1.398940+1 1.750000+7 1.377600+1 1.937500+7 1.314240+1 2.000000+7 1.293700+1 2.218800+7 1.224340+1 2.250000+7 1.214830+1 2.406300+7 1.168910+1 2.500000+7 1.142800+1 2.750000+7 1.077840+1 3.000000+7 1.020400+1 3.250000+7 9.700000+0 3.578100+7 9.133200+0 3.750000+7 8.875590+0 3.859400+7 8.724450+0 4.000000+7 8.542400+0 4.437500+7 8.059590+0 4.500000+7 7.998460+0 5.000000+7 7.563500+0 6.000000+7 6.864900+0 6.500000+7 6.547870+0 7.000000+7 6.236600+0 7.500000+7 5.927170+0 8.000000+7 5.619600+0 8.500000+7 5.315170+0 9.000000+7 5.016500+0 9.500000+7 4.725540+0 1.000000+8 4.443300+0 1.062500+8 4.104670+0 1.125000+8 3.788180+0 1.144500+8 3.694300+0 1.250000+8 3.231800+0 1.437500+8 2.587000+0 1.500000+8 2.417000+0 1.625000+8 2.134040+0 1.718800+8 1.962980+0 1.753900+8 1.906540+0 1.841800+8 1.781130+0 1.947300+8 1.656570+0 2.000000+8 1.603400+0 2.125000+8 1.497520+0 2.218800+8 1.432950+0 2.359400+8 1.354480+0 2.500000+8 1.292900+0 2.875000+8 1.169970+0 3.000000+8 1.129800+0 3.125000+8 1.087070+0 3.500000+8 9.668000-1 3.812500+8 8.877280-1 4.000000+8 8.409000-1 4.179700+8 7.930480-1 4.330100+8 7.522970-1 4.569300+8 6.893210-1 5.000000+8 5.890000-1 5.343800+8 5.227460-1 5.578100+8 4.818770-1 5.789100+8 4.466490-1 6.000000+8 4.125000-1 6.250000+8 3.736460-1 6.625000+8 3.237320-1 6.812500+8 3.037380-1 7.000000+8 2.873000-1 7.125000+8 2.782560-1 7.671900+8 2.464780-1 7.835900+8 2.369970-1 8.000000+8 2.268000-1 8.183600+8 2.143830-1 8.352100+8 2.024430-1 8.558000+8 1.876900-1 8.817100+8 1.696250-1 9.034000+8 1.553820-1 9.586000+8 1.241060-1 1.000000+9 1.057000-1 1.045900+9 8.981620-2 1.088000+9 7.833700-2 1.139500+9 6.714800-2 1.184600+9 5.923120-2 1.421100+9 3.338060-2 1.500000+9 2.799500-2 1.589800+9 2.298340-2 1.665000+9 1.954710-2 1.784700+9 1.522280-2 1.928200+9 1.144910-2 2.000000+9 9.994700-3 2.375000+9 5.260170-3 3.031300+9 2.100750-3 4.015600+9 7.236960-4 5.000000+9 3.140400-4 8.000000+9 5.233000-5 9.500000+9 2.729880-5 1.00000+10 2.250200-5 1.20500+10 1.120350-5 1.41820+10 6.130920-6 1.71170+10 3.078320-6 2.01490+10 1.704140-6 2.26440+10 1.119750-6 2.74790+10 5.615430-7 3.20120+10 3.273830-7 3.62610+10 2.114500-7 4.42280+10 1.059750-7 5.12000+10 6.397100-8 6.34000+10 3.081220-8 7.94120+10 1.438460-8 1.00000+11 6.647700-9 1.26840+11 3.022980-9 1.58400+11 1.457640-9 2.01970+11 6.61362-10 2.73980+11 2.47895-10 3.89420+11 8.10680-11 5.35610+11 2.97768-11 8.96670+11 6.02765-12 1.90530+12 6.07612-13 5.12830+12 3.16632-14 2.26460+13 4.07671-16 1.00000+14 5.37670-18 5.62340+14 3.32851-20 5.42470+15 3.87033-23 1.00000+17 6.05800-27 1 18000 7 0 3.994800+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 2.40000-12 1.000000+2 2.40000-10 1.000000+3 2.400000-8 1.000000+4 2.400000-6 1.000000+5 2.400000-4 5.000000+5 6.000000-3 8.750000+5 1.837500-2 1.000000+6 2.400000-2 1.500000+6 5.420000-2 2.000000+6 9.590000-2 2.500000+6 1.491000-1 3.000000+6 2.133000-1 3.750000+6 3.293850-1 4.000000+6 3.731000-1 4.750000+6 5.181670-1 5.000000+6 5.710000-1 6.000000+6 8.025980-1 6.750000+6 9.952240-1 7.000000+6 1.062600+0 8.000000+6 1.344940+0 8.500000+6 1.492830+0 9.000000+6 1.644500+0 1.000000+7 1.956000+0 1.109400+7 2.305500+0 1.125000+7 2.355870+0 1.203100+7 2.608310+0 1.250000+7 2.760200+0 1.375000+7 3.162030+0 1.500000+7 3.558000+0 1.625000+7 3.944670+0 1.687500+7 4.133710+0 1.750000+7 4.320200+0 1.937500+7 4.859330+0 2.000000+7 5.033000+0 2.218800+7 5.613550+0 2.250000+7 5.693340+0 2.406300+7 6.080010+0 2.500000+7 6.303000+0 2.750000+7 6.863840+0 3.000000+7 7.377000+0 3.250000+7 7.843290+0 3.578100+7 8.391480+0 3.750000+7 8.650960+0 3.859400+7 8.806820+0 4.000000+7 8.998000+0 4.437500+7 9.527560+0 4.500000+7 9.597550+0 5.000000+7 1.010600+1 6.000000+7 1.096700+1 6.500000+7 1.135480+1 7.000000+7 1.172600+1 7.500000+7 1.208160+1 8.000000+7 1.242400+1 8.500000+7 1.275070+1 9.000000+7 1.306100+1 9.500000+7 1.335390+1 1.000000+8 1.362900+1 1.062500+8 1.394710+1 1.125000+8 1.423930+1 1.144500+8 1.432390+1 1.250000+8 1.474500+1 1.437500+8 1.533020+1 1.500000+8 1.548900+1 1.625000+8 1.575840+1 1.718800+8 1.592740+1 1.753900+8 1.598640+1 1.841800+8 1.611830+1 1.947300+8 1.625910+1 2.000000+8 1.632400+1 2.125000+8 1.646190+1 2.218800+8 1.655340+1 2.359400+8 1.667970+1 2.500000+8 1.679500+1 2.875000+8 1.705520+1 3.000000+8 1.713200+1 3.125000+8 1.720130+1 3.500000+8 1.738600+1 3.812500+8 1.750900+1 4.000000+8 1.757300+1 4.179700+8 1.762560+1 4.330100+8 1.766510+1 4.569300+8 1.772150+1 5.000000+8 1.780000+1 5.343800+8 1.784550+1 5.578100+8 1.787120+1 5.789100+8 1.788990+1 6.000000+8 1.790700+1 6.250000+8 1.792190+1 6.625000+8 1.794140+1 6.812500+8 1.794880+1 7.000000+8 1.795600+1 7.125000+8 1.795890+1 7.671900+8 1.797110+1 7.835900+8 1.797460+1 8.000000+8 1.797800+1 8.183600+8 1.797980+1 8.352100+8 1.798140+1 8.558000+8 1.798340+1 8.817100+8 1.798580+1 9.034000+8 1.798770+1 9.586000+8 1.799210+1 1.000000+9 1.799400+1 1.045900+9 1.799480+1 1.088000+9 1.799550+1 1.139500+9 1.799640+1 1.184600+9 1.799710+1 1.421100+9 1.799990+1 1.500000+9 1.800000+1 1.589800+9 1.800000+1 1.665000+9 1.800000+1 1.784700+9 1.800000+1 1.928200+9 1.800000+1 2.000000+9 1.800000+1 2.375000+9 1.800000+1 3.031300+9 1.800000+1 4.015600+9 1.800000+1 5.000000+9 1.800000+1 8.000000+9 1.800000+1 9.500000+9 1.800000+1 1.00000+10 1.800000+1 1.20500+10 1.800000+1 1.41820+10 1.800000+1 1.71170+10 1.800000+1 2.01490+10 1.800000+1 2.26440+10 1.800000+1 2.74790+10 1.800000+1 3.20120+10 1.800000+1 3.62610+10 1.800000+1 4.42280+10 1.800000+1 5.12000+10 1.800000+1 6.34000+10 1.800000+1 7.94120+10 1.800000+1 1.00000+11 1.800000+1 1.26840+11 1.800000+1 1.58400+11 1.800000+1 2.01970+11 1.800000+1 2.73980+11 1.800000+1 3.89420+11 1.800000+1 5.35610+11 1.800000+1 8.96670+11 1.800000+1 1.90530+12 1.800000+1 5.12830+12 1.800000+1 2.26460+13 1.800000+1 1.00000+14 1.800000+1 5.62340+14 1.800000+1 5.42470+15 1.800000+1 1.00000+17 1.800000+1 1 18000 7 0 3.994800+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.044423-6 0.0 9.162916-6 0.0 1.046453-5 0.0 1.051282-5 9.107499-1 1.051604-5 9.709075-1 1.054180-5 1.773442+0 1.056756-5 2.990267+0 1.059653-5 4.907924+0 1.067059-5 1.096860+1 1.070097-5 1.276191+1 1.072446-5 1.343870+1 1.075338-5 1.327850+1 1.078727-5 1.213606+1 1.085250-5 9.329587+0 1.088875-5 8.282852+0 1.092090-5 7.442984+0 1.095041-5 6.468373+0 1.097731-5 5.214128+0 1.105207-5 2.308678+0 1.107831-5 1.490402+0 1.110454-5 8.881728-1 1.113078-5 4.885912-1 1.117013-5 1.242019-1 1.118325-5 0.0 1.165171-5 0.0 1.165766-5 2.627210-7 1.170907-5 4.715353-6 1.171505-5 5.401417-6 1.173775-5 8.651462-6 1.174374-5 9.733720-6 1.176642-5 1.465835-5 1.177244-5 1.620548-5 1.180113-5 2.492519-5 1.188721-5 5.784228-5 1.191591-5 6.593940-5 1.194460-5 7.027050-5 1.197329-5 7.053185-5 1.200199-5 6.741927-5 1.217415-5 3.546519-5 1.220284-5 2.950017-5 1.223154-5 2.232937-5 1.228926-5 1.189182-5 1.231843-5 7.676942-6 1.234760-5 4.574908-6 1.237677-5 2.516695-6 1.242053-5 6.397539-7 1.243511-5 0.0 1.253643-5 0.0 1.257088-5 1.104160-1 1.260173-5 7.571262-1 1.263277-5 1.464475+0 1.266371-5 2.611856+0 1.269465-5 4.307328+0 1.273485-5 7.382751+0 1.279824-5 1.325324+1 1.281855-5 1.508735+1 1.285492-5 1.749129+1 1.288665-5 1.851367+1 1.291689-5 1.850056+1 1.296577-5 1.690738+1 1.305440-5 1.252657+1 1.314819-5 7.290417+0 1.319218-5 4.699105+0 1.322918-5 3.154371+0 1.324012-5 2.861924+0 1.326930-5 2.225795+0 1.329458-5 1.885340+0 1.330159-5 1.864834+0 1.332693-5 1.909338+0 1.335943-5 2.422309+0 1.339427-5 3.400553+0 1.343449-5 5.243952+0 1.347985-5 7.537536+0 1.352826-5 9.430363+0 1.356215-5 1.024042+1 1.359520-5 1.052980+1 1.372076-5 9.767704+0 1.386543-5 9.719149+0 1.390140-5 9.619137+0 1.403577-5 1.000548+1 1.416997-5 1.067949+1 1.435519-5 1.094407+1 1.449555-5 1.104195+1 1.481769-5 1.141330+1 1.621810-5 1.503322+1 1.720000-5 1.659397+1 1.801880-5 1.695327+1 1.897500-5 1.622860+1 2.019586-5 1.398683+1 2.264682-5 8.595211+0 2.383258-5 6.529436+0 2.475551-5 5.245645+0 2.587091-5 4.033871+0 2.707782-5 3.044707+0 2.849174-5 2.247406+0 2.942329-5 1.850404+0 3.054921-5 1.484114+0 3.160644-5 1.227038+0 3.280802-5 1.011991+0 3.417411-5 8.421604-1 3.570000-5 7.205711-1 3.705000-5 6.566960-1 3.865000-5 6.187994-1 4.090000-5 6.141543-1 4.370000-5 6.587856-1 4.731513-5 7.612662-1 6.300000-5 1.303285+0 7.328245-5 1.569621+0 8.511380-5 1.754847+0 9.800000-5 1.847851+0 1.263385-4 1.846707+0 1.826947-4 1.599811+0 2.382051-4 1.329256+0 2.400493-4 1.374705+0 2.409719-4 1.454088+0 2.421005-4 1.636694+0 2.427275-4 1.798632+0 2.436424-4 2.147237+0 2.444227-4 2.578699+0 2.453857-4 3.340787+0 2.463020-4 4.328852+0 2.475117-4 5.980563+0 2.506212-4 1.082638+1 2.519861-4 1.244781+1 2.535140-4 1.364665+1 2.561625-4 1.459654+1 2.627725-4 1.513529+1 2.763613-4 1.456582+1 3.034462-4 1.283350+1 3.081347-4 1.293911+1 3.137538-4 1.362100+1 4.241310-4 1.021181+1 4.983105-4 8.331861+0 5.943777-4 6.562031+0 6.805979-4 5.403790+0 7.904795-4 4.330535+0 8.944230-4 3.588776+0 1.015180-3 2.948075+0 1.139921-3 2.453264+0 1.290540-3 2.008239+0 1.467781-3 1.625911+0 1.647938-3 1.341306+0 1.857487-3 1.095927+0 2.082677-3 9.021846-1 2.343307-3 7.365644-1 2.654152-3 5.932732-1 3.021563-3 4.727400-1 3.100134-3 4.580642-1 3.113309-3 4.861432-1 3.122204-3 5.332650-1 3.130617-3 6.196364-1 3.137129-3 7.269714-1 3.144621-3 9.047040-1 3.152258-3 1.152232+0 3.162256-3 1.574336+0 3.191007-3 2.986222+0 3.204624-3 3.459981+0 3.218026-3 3.724371+0 3.236180-3 3.855774+0 3.398151-3 3.690947+0 3.965515-3 2.901431+0 4.543458-3 2.332421+0 5.140217-3 1.908458+0 5.800364-3 1.556157+0 6.550082-3 1.263767+0 7.295789-3 1.046005+0 8.245430-3 8.411830-1 9.169142-3 6.934670-1 1.032990-2 5.570532-1 1.145767-2 4.585010-1 1.273503-2 3.757049-1 1.403853-2 3.115129-1 1.561669-2 2.535799-1 1.711440-2 2.119301-1 1.899476-2 1.725550-1 2.085295-2 1.432486-1 2.274019-2 1.204042-1 2.508204-2 9.865905-2 2.773929-2 8.040234-2 3.036861-2 6.669799-2 3.314365-2 5.568160-2 3.704245-2 4.415172-2 4.055979-2 3.649687-2 4.453388-2 2.999113-2 4.919920-2 2.427031-2 5.415782-2 1.978092-2 5.902195-2 1.647028-2 6.563382-2 1.310275-2 7.279631-2 1.047973-2 7.990349-2 8.573487-3 8.671218-2 7.180629-3 9.385724-2 6.051804-3 1.044201-1 4.805029-3 1.146325-1 3.925188-3 1.258500-1 3.208499-3 1.367188-1 2.685126-3 1.479936-1 2.264665-3 1.625823-1 1.851529-3 1.806895-1 1.476928-3 1.980911-1 1.217114-3 2.151852-1 1.022924-3 2.345494-1 8.567219-4 2.563009-1 7.147653-4 2.869906-1 5.694568-4 3.174507-1 4.673666-4 3.480922-1 3.921673-4 3.812852-1 3.310447-4 4.218780-1 2.759413-4 4.680718-1 2.305517-4 5.232991-1 1.917317-4 5.948055-1 1.571544-4 6.578472-1 1.356699-4 7.563973-1 1.126648-4 8.785167-1 9.394563-5 9.942601-1 8.209255-5 1.173413+0 6.940207-5 1.410753+0 5.756703-5 1.696098+0 4.775020-5 2.039158+0 3.960742-5 2.451607+0 3.285322-5 2.947480+0 2.725080-5 3.543651+0 2.260376-5 4.260405+0 1.874917-5 5.122134+0 1.555190-5 6.158159+0 1.289986-5 7.403736+0 1.070006-5 8.901248+0 8.875393-6 9.760024+0 8.083292-6 1.000000+1 1.591574-5 1 18000 7 0 3.994800+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-1.800799+1 3.044423-6-1.806998+1 9.162916-6-1.825513+1 9.970160-6-1.753706+1 1.026778-5-1.648392+1 1.039692-5-1.532145+1 1.046052-5-1.406190+1 1.057641-5-1.039649+1 1.060217-5-9.977787+0 1.063115-5-1.019111+1 1.065603-5-1.099860+1 1.067059-5-1.183848+1 1.069795-5-1.403503+1 1.075812-5-1.961223+1 1.077459-5-2.049159+1 1.081778-5-1.830510+1 1.086457-5-1.720519+1 1.097731-5-1.518463+1 1.105207-5-1.566916+1 1.122712-5-1.929136+1 1.146924-5-2.133755+1 1.223154-5-1.880913+1 1.243511-5-1.721011+1 1.252942-5-1.566592+1 1.262889-5-1.240968+1 1.269914-5-9.765034+0 1.274236-5-9.066531+0 1.277106-5-9.344230+0 1.279824-5-1.029306+1 1.281855-5-1.165395+1 1.284936-5-1.422063+1 1.293326-5-2.268182+1 1.294582-5-2.368328+1 1.298865-5-2.093906+1 1.304746-5-1.863867+1 1.311492-5-1.749825+1 1.316392-5-1.772000+1 1.319681-5-1.866965+1 1.328510-5-2.266875+1 1.332422-5-2.473082+1 1.341233-5-2.141536+1 1.346276-5-2.095449+1 1.352439-5-2.226449+1 1.362309-5-2.582745+1 1.372076-5-2.502481+1 1.390140-5-2.468792+1 1.415385-5-2.450041+1 1.457673-5-2.347081+1 1.538959-5-2.267970+1 1.660240-5-1.947947+1 1.910391-5-1.062337+1 1.981223-5-8.635150+0 2.044671-5-7.274212+0 2.119929-5-6.151792+0 2.197079-5-5.497196+0 2.264682-5-5.244134+0 2.351999-5-5.232056+0 2.475551-5-5.576150+0 3.103971-5-8.415793+0 3.570000-5-9.832088+0 4.220000-5-1.096286+1 5.214064-5-1.172923+1 6.918310-5-1.199710+1 1.263385-4-1.174613+1 1.640590-4-1.223798+1 1.961397-4-1.343002+1 2.167770-4-1.503958+1 2.291839-4-1.685102+1 2.369460-4-1.894058+1 2.414224-4-2.128419+1 2.475117-4-2.630466+1 2.494300-4-2.649186+1 2.519861-4-2.477984+1 2.566880-4-2.063557+1 2.627725-4-1.733057+1 2.710437-4-1.442615+1 2.800652-4-1.241016+1 2.895673-4-1.104710+1 3.017788-4-1.017875+1 3.100881-4-1.022510+1 3.180000-4-8.916010+0 3.325247-4-7.520660+0 3.543863-4-6.104943+0 3.791974-4-4.920613+0 4.113917-4-3.714236+0 4.365158-4-3.005150+0 4.635128-4-2.431221+0 4.983105-4-1.886103+0 5.202954-4-1.620350+0 5.543065-4-1.293083+0 5.943777-4-1.014530+0 6.165950-4-8.946110-1 6.555857-4-7.423472-1 6.964884-4-6.256569-1 7.282292-4-5.619280-1 7.767010-4-4.944152-1 8.146193-4-4.639611-1 8.753616-4-4.403209-1 9.495110-4-4.414717-1 1.056970-3-4.756696-1 1.234459-3-5.752453-1 1.785093-3-9.698432-1 2.162535-3-1.278442+0 2.430336-3-1.552355+0 2.654152-3-1.866797+0 2.809341-3-2.183371+0 2.917427-3-2.508679+0 2.999060-3-2.876986+0 3.060856-3-3.318048+0 3.100134-3-3.791191+0 3.127180-3-4.366345+0 3.164114-3-5.391528+0 3.180533-3-5.491708+0 3.198030-3-5.180238+0 3.236180-3-4.011312+0 3.266147-3-3.400531+0 3.310008-3-2.855420+0 3.357233-3-2.442964+0 3.420286-3-2.037312+0 3.494644-3-1.684171+0 3.597623-3-1.317578+0 3.698645-3-1.047249+0 3.818547-3-8.002031-1 3.937285-3-6.105976-1 4.066652-3-4.448517-1 4.170108-3-3.359408-1 4.273604-3-2.432560-1 4.328766-3-1.991824-1 4.413398-3-1.392993-1 4.478428-3-9.662364-2 4.543458-3-5.756205-2 4.644443-3-4.010853-3 4.677351-3 1.349536-2 4.808739-3 7.254249-2 4.900432-3 1.074942-1 5.014578-3 1.471526-1 5.140217-3 1.855544-1 5.273152-3 2.198761-1 5.555860-3 2.748499-1 5.970593-3 3.269535-1 6.550082-3 3.665998-1 7.295789-3 3.810788-1 8.245430-3 3.744732-1 1.145767-2 2.945356-1 1.453188-2 2.240704-1 1.711440-2 1.790984-1 2.024896-2 1.384208-1 2.274019-2 1.140441-1 2.602060-2 8.923752-2 2.943786-2 6.979571-2 3.314365-2 5.369698-2 3.704245-2 4.080397-2 4.055979-2 3.160761-2 4.453388-2 2.330772-2 4.822800-2 1.711522-2 5.195776-2 1.189899-2 5.540679-2 7.862926-3 5.775387-2 5.459310-3 5.902195-2 4.264481-3 6.056933-2 2.901218-3 6.195614-2 1.745573-3 6.326525-2 7.117300-4 6.407924-2 8.757074-5 6.420348-2-2.014218-6 6.563382-2-1.029999-3 6.826642-2-2.790058-3 7.130582-2-4.629793-3 7.603079-2-7.113431-3 8.198794-2-9.710174-3 8.914013-2-1.224012-2 9.955891-2-1.508039-2 1.146325-1-1.801192-2 1.367188-1-2.079871-2 1.727935-1-2.339243-2 2.345494-1-2.549847-2 3.695719-1-2.711984-2 8.389769-1-2.802276-2 2.567148+0-2.821689-2 7.752663+0-2.823756-2 1.000000+1-2.823531-2 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 4.423866-1 1.028642-6 5.411754-1 1.042973-6 5.993918-1 1.056856-6 6.624190-1 1.070306-6 7.305742-1 1.083335-6 8.041781-1 1.095957-6 8.835663-1 1.108185-6 9.690904-1 1.120031-6 1.061119+0 1.131506-6 1.160038+0 1.142623-6 1.266250+0 1.153392-6 1.380179+0 1.163825-6 1.502264+0 1.173932-6 1.632966+0 1.183723-6 1.772767+0 1.202396-6 2.081687+0 1.219921-6 2.433328+0 1.228275-6 2.626820+0 1.236368-6 2.833363+0 1.244208-6 3.053673+0 1.259160-6 3.535715+0 1.273415-6 4.085947+0 1.286780-6 4.704536+0 1.299309-6 5.398528+0 1.311054-6 6.175046+0 1.322066-6 7.041614+0 1.332390-6 8.006169+0 1.342068-6 9.077059+0 1.351142-6 1.026302+1 1.359648-6 1.157317+1 1.367623-6 1.301695+1 1.375099-6 1.460414+1 1.382108-6 1.634480+1 1.388679-6 1.824922+1 1.394839-6 2.032789+1 1.400615-6 2.259149+1 1.406029-6 2.505081+1 1.411105-6 2.771673+1 1.415863-6 3.060022+1 1.420325-6 3.371236+1 1.424507-6 3.706433+1 1.428428-6 4.066757+1 1.432104-6 4.453381+1 1.435550-6 4.867523+1 1.438781-6 5.310472+1 1.441810-6 5.783623+1 1.444650-6 6.288524+1 1.447312-6 6.826920+1 1.449807-6 7.400765+1 1.452147-6 8.012200+1 1.454341-6 8.663468+1 1.456397-6 9.356776+1 1.460253-6 1.093279+2 1.463627-6 1.270736+2 1.466579-6 1.467736+2 1.469162-6 1.682335+2 1.471422-6 1.911116+2 1.473400-6 2.149655+2 1.475130-6 2.393089+2 1.476644-6 2.636638+2 1.479128-6 3.107554+2 1.481157-6 3.567814+2 1.485960-6 4.985725+2 1.491753-6 7.446516+2 1.494565-6 8.978595+2 1.495823-6 9.738303+2 1.498225-6 1.131305+3 1.500513-6 1.295578+3 1.502344-6 1.435922+3 1.505547-6 1.696525+3 1.506805-6 1.802528+3 1.509207-6 2.007219+3 1.511066-6 2.164878+3 1.512868-6 2.314252+3 1.514584-6 2.450940+3 1.516434-6 2.589519+3 1.518077-6 2.702640+3 1.519892-6 2.814345+3 1.522020-6 2.924389+3 1.523850-6 2.998625+3 1.524602-6 3.023192+3 1.526420-6 3.067608+3 1.528262-6 3.090197+3 1.530316-6 3.088219+3 1.532147-6 3.062434+3 1.533951-6 3.015607+3 1.535584-6 2.955854+3 1.536584-6 2.911610+3 1.538950-6 2.785912+3 1.540887-6 2.663821+3 1.542581-6 2.545446+3 1.543995-6 2.439869+3 1.545814-6 2.297308+3 1.547644-6 2.148567+3 1.549475-6 1.997148+3 1.551541-6 1.826023+3 1.553148-6 1.694729+3 1.556826-6 1.407355+3 1.558895-6 1.257152+3 1.560734-6 1.132117+3 1.562889-6 9.966777+2 1.566021-6 8.221891+2 1.570225-6 6.294219+2 1.575718-6 4.425909+2 1.578840-6 3.641054+2 1.580396-6 3.312290+2 1.581950-6 3.020578+2 1.583500-6 2.762096+2 1.585047-6 2.533244+2 1.588136-6 2.151004+2 1.591213-6 1.850866+2 1.594277-6 1.613672+2 1.597330-6 1.424313+2 1.600371-6 1.271185+2 1.603399-6 1.145557+2 1.606417-6 1.040951+2 1.609422-6 9.526025+1 1.612415-6 8.770082+1 1.615397-6 8.115797+1 1.618367-6 7.543842+1 1.621326-6 7.039567+1 1.627220-6 6.189854+1 1.633068-6 5.504034+1 1.638870-6 4.939965+1 1.644627-6 4.468968+1 1.650339-6 4.070752+1 1.656006-6 3.730494+1 1.661629-6 3.437083+1 1.667208-6 3.182022+1 1.672744-6 2.958705+1 1.678236-6 2.761916+1 1.683685-6 2.587465+1 1.689092-6 2.431940+1 1.699821-6 2.166009+1 1.710383-6 1.948497+1 1.720779-6 1.767895+1 1.731013-6 1.616129+1 1.741087-6 1.487225+1 1.751004-6 1.376667+1 1.760765-6 1.281019+1 1.770375-6 1.197663+1 1.779834-6 1.124559+1 1.789145-6 1.060027+1 1.807476-6 9.504181+0 1.825235-6 8.617323+0 1.842439-6 7.889286+0 1.859105-6 7.283593+0 1.875250-6 6.773200+0 1.890891-6 6.338358+0 1.906043-6 5.964842+0 1.920721-6 5.641845+0 1.949161-6 5.100907+0 1.975823-6 4.674354+0 2.000819-6 4.332786+0 2.024252-6 4.054823+0 2.048000-6 3.808513+0 2.087413-6 3.457360+0 2.123455-6 3.186967+0 2.154993-6 2.983588+0 2.182588-6 2.827496+0 2.230879-6 2.590760+0 2.267098-6 2.438222+0 2.321426-6 2.242040+0 2.401805-6 2.002469+0 2.495471-6 1.781855+0 2.552192-6 1.669052+0 2.712061-6 1.385708+0 2.752029-6 1.311202+0 2.782004-6 1.248147+0 2.804486-6 1.191915+0 2.821347-6 1.139928+0 2.833993-6 1.091598+0 2.843478-6 1.048254+0 2.850591-6 1.011488+0 2.855926-6 9.818704-1 2.874361-6 8.786962-1 2.881436-6 8.487120-1 2.886069-6 8.361791-1 2.888511-6 8.325924-1 2.893138-6 8.327231-1 2.895586-6 8.369633-1 2.900207-6 8.538979-1 2.902661-6 8.680325-1 2.904429-6 8.805588-1 2.909736-6 9.303396-1 2.913104-6 9.715893-1 2.916708-6 1.023891+0 2.921859-6 1.112387+0 2.935551-6 1.406317+0 2.939804-6 1.506161+0 2.945110-6 1.629279+0 2.952185-6 1.781867+0 2.956164-6 1.857825+0 2.960586-6 1.931221+0 2.963074-6 1.966764+0 2.965250-6 1.994238+0 2.969059-6 2.033872+0 2.971915-6 2.056423+0 2.976200-6 2.078799+0 2.980484-6 2.087963+0 2.984022-6 2.086279+0 2.987559-6 2.077037+0 2.992102-6 2.055515+0 2.994634-6 2.039508+0 3.001709-6 1.983195+0 3.008784-6 1.915938+0 3.029171-6 1.716683+0 3.035611-6 1.662405+0 3.046881-6 1.582235+0 3.063787-6 1.493769+0 3.082713-6 1.425919+0 3.097888-6 1.385415+0 3.120651-6 1.337650+0 3.151002-6 1.287796+0 3.173765-6 1.256619+0 3.226879-6 1.195958+0 3.349974-6 1.075101+0 3.369226-6 1.052095+0 3.405158-6 1.007653+0 3.414609-6 9.996140-1 3.422952-6 9.955741-1 3.431295-6 9.951517-1 3.437271-6 9.973285-1 3.446235-6 1.004536+0 3.455199-6 1.016021+0 3.481353-6 1.061441+0 3.489696-6 1.074483+0 3.497214-6 1.083728+0 3.504732-6 1.089986+0 3.514725-6 1.093278+0 3.523068-6 1.091802+0 3.531411-6 1.087035+0 3.548097-6 1.070697+0 3.598469-6 1.012040+0 3.638913-6 9.754575-1 3.665783-6 9.561510-1 3.683696-6 9.474945-1 3.696833-6 9.440642-1 3.719523-6 9.433421-1 3.755350-6 9.445114-1 3.778556-6 9.385319-1 3.818047-6 9.176675-1 3.852959-6 9.014692-1 3.936663-6 8.758085-1 4.190597-6 7.969092-1 4.312803-6 7.620816-1 4.479108-6 7.194409-1 4.803746-6 6.423438-1 5.088196-6 5.802621-1 5.324993-6 5.314565-1 5.599973-6 4.784167-1 5.842975-6 4.346013-1 6.133965-6 3.838700-1 6.195000-6 3.733824-1 6.750000-6 2.828311-1 7.000000-6 2.440987-1 7.210000-6 2.130800-1 7.420000-6 1.836477-1 7.600000-6 1.595525-1 7.790256-6 1.350612-1 8.033701-6 1.057385-1 8.284755-6 7.841487-2 8.420000-6 6.501275-2 8.543653-6 5.375359-2 8.709636-6 3.978574-2 8.810642-6 3.230519-2 9.085975-6 1.558918-2 9.369912-6 4.314051-3 9.516317-6 1.306394-3 9.644211-6 6.152374-4 9.661120-6 6.610006-4 9.803662-6 2.338940-3 9.943976-6 6.338363-3 1.008210-5 1.275303-2 1.024697-5 2.378275-2 1.035190-5 3.296760-2 1.048365-5 4.711276-2 1.061334-5 6.396854-2 1.080383-5 9.405427-2 1.092803-5 1.177434-1 1.116295-5 1.576043-1 1.120755-5 1.589382-1 1.141264-5 1.434914-1 1.169698-5 1.136204-1 1.180772-5 1.024655-1 1.202401-5 8.166476-2 1.212964-5 7.202414-2 1.233595-5 5.433104-2 1.243670-5 4.630305-2 1.258832-5 3.517310-2 1.263504-5 3.200089-2 1.282719-5 2.019852-2 1.290744-5 1.593884-2 1.301334-5 1.107596-2 1.317712-5 5.311839-3 1.319366-5 4.854090-3 1.336835-5 1.537839-3 1.346944-5 1.049916-3 1.351606-5 1.231969-3 1.353758-5 1.405448-3 1.370153-5 4.622847-3 1.375262-5 6.362149-3 1.386035-5 1.133258-2 1.401420-5 2.171001-2 1.416325-5 3.582401-2 1.430764-5 5.386215-2 1.444752-5 7.596970-2 1.458303-5 1.023119-1 1.471430-5 1.331673-1 1.484147-5 1.688948-1 1.508787-5 2.554287-1 1.531886-5 3.611459-1 1.553542-5 4.874815-1 1.573844-5 6.351755-1 1.593445-5 8.100298-1 1.610721-5 9.957207-1 1.627449-5 1.209656+0 1.657835-5 1.703035+0 1.698337-5 2.651716+0 1.720696-5 3.380825+0 1.738625-5 4.109919+0 1.757075-5 5.032238+0 1.772456-5 5.972994+0 1.786706-5 7.025476+0 1.796457-5 7.873607+0 1.806697-5 8.906322+0 1.816821-5 1.010839+1 1.823497-5 1.102579+1 1.831296-5 1.225985+1 1.836359-5 1.317987+1 1.846863-5 1.550972+1 1.854741-5 1.780244+1 1.860650-5 1.996409+1 1.865082-5 2.189629+1 1.868405-5 2.354170+1 1.883000-5 3.273171+1 1.887623-5 3.608912+1 1.892246-5 3.941152+1 1.896870-5 4.247516+1 1.898026-5 4.317151+1 1.901493-5 4.503032+1 1.903031-5 4.572492+1 1.905338-5 4.659268+1 1.907646-5 4.723030+1 1.909575-5 4.757263+1 1.911022-5 4.770979+1 1.913193-5 4.771797+1 1.915363-5 4.748658+1 1.918831-5 4.662768+1 1.919987-5 4.621291+1 1.923454-5 4.461487+1 1.924610-5 4.397436+1 1.929233-5 4.097167+1 1.930389-5 4.013190+1 1.934566-5 3.690824+1 1.938225-5 3.397028+1 1.942817-5 3.035504+1 1.949678-5 2.558727+1 1.952350-5 2.405179+1 1.954600-5 2.293069+1 1.956974-5 2.193184+1 1.959295-5 2.114790+1 1.960446-5 2.083250+1 1.961597-5 2.056657+1 1.962794-5 2.034302+1 1.963991-5 2.017398+1 1.965704-5 2.002742+1 1.966989-5 1.999139+1 1.968916-5 2.005592+1 1.970844-5 2.026186+1 1.978077-5 2.225854+1 1.982773-5 2.452729+1 1.987468-5 2.748540+1 1.992163-5 3.105931+1 2.001554-5 3.977460+1 2.027798-5 7.362333+1 2.042951-5 1.024162+2 2.047763-5 1.140015+2 2.052754-5 1.277382+2 2.057767-5 1.437146+2 2.062117-5 1.597908+2 2.066488-5 1.785487+2 2.072719-5 2.112146+2 2.077710-5 2.441776+2 2.083190-5 2.900639+2 2.084678-5 3.047299+2 2.087692-5 3.379595+2 2.092275-5 3.991407+2 2.096885-5 4.767954+2 2.101332-5 5.706295+2 2.107727-5 7.456443+2 2.116212-5 1.065656+3 2.126630-5 1.607347+3 2.127932-5 1.685569+3 2.131838-5 1.930928+3 2.132527-5 1.975555+3 2.137349-5 2.294528+3 2.137994-5 2.337569+3 2.142507-5 2.635460+3 2.144214-5 2.744510+3 2.145843-5 2.845540+3 2.147472-5 2.942803+3 2.150017-5 3.085443+3 2.152875-5 3.228985+3 2.155263-5 3.332840+3 2.157565-5 3.417283+3 2.158480-5 3.446233+3 2.160864-5 3.508655+3 2.163447-5 3.554118+3 2.166333-5 3.576745+3 2.168618-5 3.573459+3 2.174003-5 3.494351+3 2.175950-5 3.442922+3 2.179173-5 3.334559+3 2.182152-5 3.212448+3 2.185454-5 3.058189+3 2.188557-5 2.900811+3 2.191302-5 2.756238+3 2.196334-5 2.491502+3 2.200484-5 2.286399+3 2.205163-5 2.082975+3 2.208304-5 1.968106+3 2.209137-5 1.940945+3 2.212158-5 1.854497+3 2.214910-5 1.792617+3 2.216279-5 1.767823+3 2.218559-5 1.735166+3 2.221231-5 1.710039+3 2.223955-5 1.697942+3 2.226353-5 1.697419+3 2.229507-5 1.709095+3 2.233049-5 1.735542+3 2.237929-5 1.787367+3 2.247874-5 1.907528+3 2.252925-5 1.958311+3 2.256187-5 1.983601+3 2.260772-5 2.007407+3 2.264883-5 2.016503+3 2.268802-5 2.014546+3 2.273544-5 1.999262+3 2.280124-5 1.957880+3 2.285035-5 1.914881+3 2.291030-5 1.852601+3 2.300069-5 1.747869+3 2.332037-5 1.399696+3 2.358866-5 1.175023+3 2.397155-5 9.260763+2 2.419447-5 8.122634+2 2.437768-5 7.343055+2 2.458716-5 6.591983+2 2.480769-5 5.925388+2 2.506464-5 5.275329+2 2.534956-5 4.680911+2 2.560403-5 4.238394+2 2.590856-5 3.795660+2 2.622452-5 3.415771+2 2.657468-5 3.067458+2 2.697566-5 2.738724+2 2.730872-5 2.510620+2 2.768028-5 2.294344+2 2.792233-5 2.171141+2 2.829907-5 2.002316+2 2.880000-5 1.812160+2 2.915347-5 1.697185+2 2.959744-5 1.570932+2 3.004798-5 1.460067+2 3.054921-5 1.353396+2 3.109581-5 1.252281+2 3.189923-5 1.127788+2 3.278088-5 1.015986+2 3.372436-5 9.176907+1 3.487444-5 8.192545+1 3.613652-5 7.289823+1 3.655939-5 7.001052+1 3.710191-5 6.630884+1 3.728365-5 6.535101+1 3.737453-5 6.499533+1 3.763999-5 6.447330+1 3.801065-5 6.426870+1 3.817384-5 6.390442+1 3.837415-5 6.306181+1 3.881324-5 6.049174+1 3.918061-5 5.876496+1 4.122850-5 5.233715+1 4.223038-5 4.970593+1 4.367500-5 4.645332+1 4.510896-5 4.376375+1 4.610441-5 4.215696+1 4.738600-5 4.038520+1 4.841724-5 3.913400+1 5.011872-5 3.739182+1 5.215280-5 3.571918+1 5.488032-5 3.411113+1 5.766504-5 3.299188+1 6.025596-5 3.230191+1 6.309573-5 3.185571+1 6.683439-5 3.162925+1 6.918310-5 3.164837+1 7.161434-5 3.175396+1 7.500000-5 3.202113+1 7.852356-5 3.235369+1 8.650000-5 3.332088+1 1.091009-4 3.604533+1 1.216445-4 3.706279+1 1.348963-4 3.760494+1 1.473392-4 3.756416+1 1.601963-4 3.690048+1 1.712971-4 3.584347+1 1.824946-4 3.432056+1 1.895309-4 3.312148+1 1.966754-4 3.169339+1 2.047623-4 2.982620+1 2.122954-4 2.783950+1 2.205415-4 2.535157+1 2.269418-4 2.317204+1 2.318587-4 2.136082+1 2.371101-4 1.928335+1 2.415112-4 1.742635+1 2.443351-4 1.617588+1 2.482552-4 1.437103+1 2.519127-4 1.261558+1 2.541882-4 1.149290+1 2.573593-4 9.900001+0 2.582718-4 9.437364+0 2.616420-4 7.723607+0 2.645320-4 6.269369+0 2.656106-4 5.738691+0 2.675136-4 4.831081+0 2.695411-4 3.923830+0 2.699907-4 3.734145+0 2.712294-4 3.239837+0 2.735237-4 2.468775+0 2.738829-4 2.369707+0 2.755312-4 2.012863+0 2.768564-4 1.871295+0 2.770361-4 1.864471+0 2.772878-4 1.860571+0 2.780862-4 1.896433+0 2.783237-4 1.922823+0 2.788249-4 2.005403+0 2.794503-4 2.165958+0 2.802382-4 2.475176+0 2.804361-4 2.574161+0 2.813465-4 3.157150+0 2.818523-4 3.581301+0 2.827138-4 4.486171+0 2.832916-4 5.224320+0 2.838071-4 5.965504+0 2.842397-4 6.638616+0 2.846268-4 7.271072+0 2.849655-4 7.839678+0 2.853326-4 8.462722+0 2.859467-4 9.495091+0 2.865219-4 1.042210+1 2.869484-4 1.107746+1 2.882930-4 1.318670+1 2.887286-4 1.408257+1 2.890714-4 1.497918+1 2.893479-4 1.588258+1 2.895633-4 1.673110+1 2.897217-4 1.745161+1 2.898406-4 1.805448+1 2.902950-4 2.094052+1 2.904247-4 2.196221+1 2.907984-4 2.550290+1 2.911412-4 2.965901+1 2.915995-4 3.684406+1 2.920027-4 4.496891+1 2.926099-4 6.089762+1 2.929021-4 7.029718+1 2.932936-4 8.475033+1 2.935342-4 9.469719+1 2.937639-4 1.049361+2 2.940661-4 1.194702+2 2.943270-4 1.329385+2 2.946067-4 1.482175+2 2.947432-4 1.559562+2 2.949543-4 1.682395+2 2.951527-4 1.800758+2 2.954428-4 1.977615+2 2.957581-4 2.172613+2 2.960507-4 2.353615+2 2.963654-4 2.545274+2 2.964344-4 2.586590+2 2.968150-4 2.807655+2 2.971252-4 2.976600+2 2.972936-4 3.063029+2 2.974913-4 3.159074+2 2.977923-4 3.292762+2 2.979272-4 3.347355+2 2.983425-4 3.493082+2 2.986253-4 3.571913+2 2.989793-4 3.646472+2 2.993179-4 3.692535+2 2.996088-4 3.712760+2 2.999169-4 3.715465+2 3.003234-4 3.691545+2 3.006584-4 3.650559+2 3.010344-4 3.584573+2 3.014832-4 3.482851+2 3.017524-4 3.412174+2 3.022153-4 3.278176+2 3.028579-4 3.076257+2 3.036318-4 2.827333+2 3.047820-4 2.485129+2 3.055478-4 2.292538+2 3.061004-4 2.174604+2 3.067262-4 2.062610+2 3.071680-4 1.996720+2 3.075761-4 1.944845+2 3.080943-4 1.890244+2 3.089230-4 1.825318+2 3.093076-4 1.802951+2 3.096893-4 1.784744+2 3.104466-4 1.758131+2 3.112337-4 1.740470+2 3.126483-4 1.724256+2 3.143039-4 1.717589+2 3.171558-4 1.716030+2 3.312553-4 1.735652+2 3.390163-4 1.738421+2 3.450469-4 1.733756+2 3.493879-4 1.725319+2 3.543544-4 1.709763+2 3.601408-4 1.684746+2 3.624292-4 1.682570+2 3.641752-4 1.691552+2 3.658102-4 1.711287+2 3.671295-4 1.735276+2 3.695878-4 1.793635+2 3.710746-4 1.831997+2 3.730488-4 1.879538+2 3.755169-4 1.927648+2 3.777020-4 1.959410+2 3.819017-4 2.002103+2 3.862458-4 2.034389+2 3.937726-4 2.080944+2 4.012128-4 2.120875+2 4.104606-4 2.165707+2 4.272496-4 2.228399+2 4.435217-4 2.268917+2 4.698403-4 2.317333+2 5.042741-4 2.356253+2 5.370318-4 2.378057+2 5.838664-4 2.389218+2 6.445153-4 2.385989+2 6.936775-4 2.367107+2 8.249385-4 2.299708+2 8.893291-4 2.263239+2 1.096478-3 2.137821+2 1.321105-3 2.007618+2 1.527786-3 1.892928+2 1.650061-3 1.832425+2 1.944241-3 1.687288+2 2.098336-3 1.613752+2 2.273403-3 1.534174+2 2.465828-3 1.445567+2 2.560420-3 1.403022+2 2.664926-3 1.353784+2 2.764511-3 1.307313+2 2.851018-3 1.266698+2 2.933198-3 1.227313+2 2.995858-3 1.195542+2 3.116057-3 1.130712+2 3.173074-3 1.098112+2 3.221385-3 1.068391+2 3.284893-3 1.025008+2 3.310483-3 1.006024+2 3.340831-3 9.818700+1 3.383042-3 9.442604+1 3.407947-3 9.189417+1 3.431963-3 8.912312+1 3.451650-3 8.649653+1 3.468488-3 8.388130+1 3.482387-3 8.138595+1 3.496654-3 7.846387+1 3.514667-3 7.432534+1 3.539618-3 6.859759+1 3.550513-3 6.662071+1 3.558662-3 6.555475+1 3.565997-3 6.497593+1 3.571656-3 6.480565+1 3.578900-3 6.495894+1 3.585111-3 6.542461+1 3.593615-3 6.653996+1 3.602700-3 6.827200+1 3.614453-3 7.114857+1 3.640912-3 7.874636+1 3.654646-3 8.253125+1 3.664113-3 8.489604+1 3.678595-3 8.806010+1 3.694852-3 9.098700+1 3.709141-3 9.310505+1 3.721700-3 9.469449+1 3.733094-3 9.596497+1 3.751788-3 9.777690+1 3.786554-3 1.004899+2 3.829349-3 1.030237+2 3.858926-3 1.044202+2 3.916246-3 1.065183+2 3.998510-3 1.085797+2 4.066810-3 1.097052+2 4.151670-3 1.105578+2 4.266767-3 1.109863+2 4.406182-3 1.107549+2 4.596607-3 1.095960+2 4.846858-3 1.072416+2 5.117555-3 1.041462+2 5.453554-3 1.000352+2 5.885065-3 9.471805+1 6.358354-3 8.905474+1 7.227784-3 7.977227+1 8.000285-3 7.265093+1 9.178271-3 6.358408+1 1.022556-2 5.684347+1 1.141153-2 5.033828+1 1.229383-2 4.613563+1 1.358164-2 4.077252+1 1.463230-2 3.698827+1 1.625685-2 3.199512+1 1.794689-2 2.772543+1 2.064091-2 2.245197+1 2.416047-2 1.757076+1 3.039968-2 1.218470+1 3.939451-2 8.015562+0 4.802304-2 5.769825+0 5.538574-2 4.529474+0 6.497031-2 3.429171+0 7.575207-2 2.606404+0 9.792344-2 1.629774+0 1.179451-1 1.152622+0 1.551773-1 6.850737-1 2.081334-1 3.896842-1 2.780113-1 2.217952-1 4.076735-1 1.043839-1 6.978306-1 3.589281-2 2.135261+0 3.847578-3 6.448384+0 4.220451-4 1.947381+1 4.627833-5 5.880996+1 5.074343-6 1.776032+2 5.563909-7 5.363532+2 6.100705-8 1.995262+3 4.408409-9 6.309573+3 4.40841-10 1.995262+4 4.40841-11 6.309573+4 4.40841-12 1.000000+5 1.75502-12 1 19000 7 7 3.910200+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.372900-6 1.258900-6 2.175900-6 1.584900-6 3.448500-6 1.995300-6 5.465500-6 2.511900-6 8.662300-6 3.162300-6 1.372900-5 3.981100-6 2.175800-5 5.011900-6 3.448500-5 6.309600-6 5.465400-5 7.943300-6 8.662000-5 1.000000-5 1.372800-4 1.258900-5 2.175700-4 1.584900-5 3.446200-4 1.995300-5 5.457700-4 2.511900-5 8.644300-4 3.162300-5 1.369400-3 3.981100-5 2.169500-3 5.011900-5 3.436900-3 6.309600-5 5.443900-3 7.943300-5 8.610700-3 1.000000-4 1.361100-2 1.258900-4 2.147400-2 1.584900-4 3.377500-2 1.995300-4 5.295100-2 2.511900-4 8.249700-2 3.162300-4 1.272300-1 3.981100-4 1.934100-1 5.011900-4 2.879600-1 6.309600-4 4.171300-1 7.943300-4 5.839300-1 1.000000-3 7.902200-1 1.258900-3 1.041100+0 1.584900-3 1.354700+0 1.995300-3 1.754000+0 2.511900-3 2.255100+0 3.162300-3 2.855800+0 3.981100-3 3.543900+0 5.011900-3 4.293500+0 6.309600-3 5.058900+0 7.943300-3 5.798700+0 1.000000-2 6.508700+0 1.258900-2 7.204900+0 1.584900-2 7.872000+0 1.995300-2 8.463100+0 2.511900-2 8.892600+0 3.162300-2 9.255700+0 3.981100-2 9.444500+0 5.011900-2 9.507000+0 6.309600-2 9.443600+0 7.943300-2 9.256400+0 1.000000-1 8.957400+0 1.258900-1 8.567200+0 1.584900-1 8.109500+0 1.995300-1 7.605300+0 2.511900-1 7.074900+0 3.162300-1 6.533400+0 3.981100-1 5.994300+0 5.011900-1 5.467000+0 6.309600-1 4.956600+0 7.943300-1 4.470300+0 1.000000+0 4.007400+0 1.258900+0 3.571000+0 1.584900+0 3.162500+0 1.995300+0 2.783300+0 2.511900+0 2.434300+0 3.162300+0 2.116200+0 3.981100+0 1.828900+0 5.011900+0 1.571800+0 6.309600+0 1.343900+0 7.943300+0 1.143600+0 1.000000+1 9.687900-1 1.258900+1 8.174400-1 1.584900+1 6.872200-1 1.995300+1 5.758300-1 2.511900+1 4.810600-1 3.162300+1 4.008000-1 3.981100+1 3.331100-1 5.011900+1 2.762500-1 6.309600+1 2.286300-1 7.943300+1 1.888800-1 1.000000+2 1.557800-1 1.258900+2 1.282900-1 1.584900+2 1.055000-1 1.995300+2 8.665300-2 2.511900+2 7.108700-2 3.162300+2 5.825500-2 3.981100+2 4.769000-2 5.011900+2 3.900500-2 6.309600+2 3.187400-2 7.943300+2 2.602600-2 1.000000+3 2.123400-2 1.258900+3 1.731200-2 1.584900+3 1.410400-2 1.995300+3 1.148400-2 2.511900+3 9.344700-3 3.162300+3 7.599500-3 3.981100+3 6.176800-3 5.011900+3 5.017900-3 6.309600+3 4.074300-3 7.943300+3 3.306600-3 1.000000+4 2.682400-3 1.258900+4 2.175000-3 1.584900+4 1.762900-3 1.995300+4 1.428300-3 2.511900+4 1.156700-3 3.162300+4 9.364400-4 3.981100+4 7.578400-4 5.011900+4 6.131000-4 6.309600+4 4.958300-4 7.943300+4 4.008700-4 1.000000+5 3.239900-4 1 19000 7 7 3.910200+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994176-4 2.511886-4 2.510169-4 3.162278-4 3.159565-4 3.981072-4 3.976796-4 5.011872-4 5.005151-4 6.309573-4 6.299039-4 7.943282-4 7.926810-4 1.000000-3 9.974375-4 1.258925-3 1.254925-3 1.584893-3 1.578635-3 1.995262-3 1.985416-3 2.511886-3 2.496382-3 3.162278-3 3.137944-3 3.981072-3 3.943038-3 5.011872-3 4.952683-3 6.309573-3 6.217896-3 7.943282-3 7.801801-3 1.000000-2 9.781643-3 1.258925-2 1.225159-2 1.584893-2 1.532679-2 1.995262-2 1.914812-2 2.511886-2 2.388495-2 3.162278-2 2.974424-2 3.981072-2 3.696042-2 5.011872-2 4.581299-2 6.309573-2 5.663013-2 7.943282-2 6.979411-2 1.000000-1 8.574975-2 1.258925-1 1.050092-1 1.584893-1 1.281373-1 1.995262-1 1.558256-1 2.511886-1 1.888256-1 3.162278-1 2.280330-1 3.981072-1 2.744693-1 5.011872-1 3.292933-1 6.309573-1 3.939580-1 7.943282-1 4.699215-1 1.000000+0 5.593830-1 1.258925+0 6.647623-1 1.584893+0 7.891150-1 1.995262+0 9.362071-1 2.511886+0 1.110741+0 3.162278+0 1.318429+0 3.981072+0 1.566345+0 5.011872+0 1.863125+0 6.309573+0 2.219265+0 7.943282+0 2.647732+0 1.000000+1 3.164289+0 1.258925+1 3.788304+0 1.584893+1 4.543435+0 1.995262+1 5.458619+0 2.511886+1 6.569315+0 3.162278+1 7.919274+0 3.981072+1 9.561716+0 5.011872+1 1.156247+1 6.309573+1 1.400207+1 7.943282+1 1.697966+1 1.000000+2 2.061706+1 1.258925+2 2.506433+1 1.584893+2 3.050595+1 1.995262+2 3.716914+1 2.511886+2 4.533421+1 3.162278+2 5.534670+1 3.981072+2 6.763098+1 5.011872+2 8.271420+1 6.309573+2 1.012435+2 7.943282+2 1.240192+2 1.000000+3 1.520279+2 1.258925+3 1.864928+2 1.584893+3 2.289212+2 1.995262+3 2.811789+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 19000 7 9 3.910200+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88177-10 1.995262-5 1.090580-9 2.511886-5 1.728426-9 3.162278-5 2.739423-9 3.981072-5 4.341779-9 5.011872-5 6.880910-9 6.309573-5 1.090471-8 7.943282-5 1.727507-8 1.000000-4 2.736895-8 1.258925-4 4.334840-8 1.584893-4 6.862074-8 1.995262-4 1.086151-7 2.511886-4 1.717563-7 3.162278-4 2.712288-7 3.981072-4 4.275434-7 5.011872-4 6.721833-7 6.309573-4 1.053472-6 7.943282-4 1.647264-6 1.000000-3 2.562499-6 1.258925-3 4.000569-6 1.584893-3 6.258249-6 1.995262-3 9.846432-6 2.511886-3 1.550420-5 3.162278-3 2.433371-5 3.981072-3 3.803404-5 5.011872-3 5.918960-5 6.309573-3 9.167736-5 7.943282-3 1.414810-4 1.000000-2 2.183575-4 1.258925-2 3.376610-4 1.584893-2 5.221418-4 1.995262-2 8.045055-4 2.511886-2 1.233919-3 3.162278-2 1.878538-3 3.981072-2 2.850300-3 5.011872-2 4.305735-3 6.309573-2 6.465605-3 7.943282-2 9.638714-3 1.000000-1 1.425025-2 1.258925-1 2.088330-2 1.584893-1 3.035199-2 1.995262-1 4.370064-2 2.511886-1 6.236300-2 3.162278-1 8.819474-2 3.981072-1 1.236379-1 5.011872-1 1.718940-1 6.309573-1 2.369993-1 7.943282-1 3.244068-1 1.000000+0 4.406170-1 1.258925+0 5.941631-1 1.584893+0 7.957782-1 1.995262+0 1.059055+0 2.511886+0 1.401145+0 3.162278+0 1.843849+0 3.981072+0 2.414727+0 5.011872+0 3.148748+0 6.309573+0 4.090308+0 7.943282+0 5.295551+0 1.000000+1 6.835711+0 1.258925+1 8.800950+0 1.584893+1 1.130550+1 1.995262+1 1.449400+1 2.511886+1 1.854955+1 3.162278+1 2.370350+1 3.981072+1 3.024900+1 5.011872+1 3.855625+1 6.309573+1 4.909366+1 7.943282+1 6.245316+1 1.000000+2 7.938294+1 1.258925+2 1.008282+2 1.584893+2 1.279834+2 1.995262+2 1.623571+2 2.511886+2 2.058544+2 3.162278+2 2.608811+2 3.981072+2 3.304762+2 5.011872+2 4.184730+2 6.309573+2 5.297139+2 7.943282+2 6.703090+2 1.000000+3 8.479721+2 1.258925+3 1.072433+3 1.584893+3 1.355972+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.220000-6 5.499681+4 4.228000-6 5.273570+4 4.245000-6 4.970310+4 4.280000-6 4.382770+4 4.315191-6 3.844009+4 4.340000-6 3.495570+4 4.380000-6 2.979770+4 4.420000-6 2.521230+4 4.450000-6 2.210150+4 4.477000-6 1.955220+4 4.500000-6 1.754120+4 4.527000-6 1.535910+4 4.550000-6 1.365370+4 4.570882-6 1.222126+4 4.593000-6 1.081700+4 4.615000-6 9.526440+3 4.635000-6 8.444570+3 4.650000-6 7.686720+3 4.670000-6 6.748280+3 4.692000-6 5.805330+3 4.710000-6 5.100230+3 4.728000-6 4.452460+3 4.742000-6 3.986980+3 4.755000-6 3.583680+3 4.770000-6 3.151910+3 4.786301-6 2.722309+3 4.800000-6 2.392190+3 4.815000-6 2.062130+3 4.827000-6 1.821220+3 4.838000-6 1.617660+3 4.850000-6 1.414200+3 4.860000-6 1.259190+3 4.874000-6 1.063580+3 4.885000-6 9.270580+2 4.900000-6 7.644670+2 4.922000-6 5.735530+2 4.935000-6 4.863540+2 4.943000-6 4.418330+2 4.950000-6 4.085090+2 4.957000-6 3.802960+2 4.962000-6 3.632480+2 4.967000-6 3.487590+2 4.971500-6 3.378750+2 4.977000-6 3.273430+2 4.981000-6 3.215440+2 4.985000-6 3.173110+2 4.989000-6 3.146290+2 4.993000-6 3.134900+2 4.997000-6 3.138860+2 5.001500-6 3.161160+2 5.005000-6 3.191580+2 5.010000-6 3.254690+2 5.015000-6 3.340770+2 5.020000-6 3.449480+2 5.025000-6 3.580480+2 5.031000-6 3.766860+2 5.037000-6 3.984640+2 5.042000-6 4.189770+2 5.052000-6 4.663590+2 5.065000-6 5.403530+2 5.092000-6 7.369590+2 5.105000-6 8.515290+2 5.120000-6 9.989930+2 5.135000-6 1.162440+3 5.146000-6 1.291960+3 5.158000-6 1.442510+3 5.172000-6 1.629860+3 5.188000-6 1.858724+3 5.200000-6 2.040540+3 5.215000-6 2.279380+3 5.230000-6 2.530890+3 5.248075-6 2.849872+3 5.263000-6 3.125990+3 5.280000-6 3.453800+3 5.300000-6 3.856930+3 5.320000-6 4.277810+3 5.340000-6 4.715800+3 5.365000-6 5.285730+3 5.390000-6 5.878580+3 5.410000-6 6.368990+3 5.440000-6 7.128690+3 5.470000-6 7.915260+3 5.500000-6 8.725850+3 5.535000-6 9.699870+3 5.570000-6 1.070060+4 5.610000-6 1.187290+4 5.650000-6 1.307160+4 5.688529-6 1.424744+4 5.730000-6 1.553220+4 5.770000-6 1.678700+4 5.821032-6 1.840527+4 5.865000-6 1.981080+4 5.920000-6 2.157850+4 5.980000-6 2.351200+4 6.050000-6 2.576560+4 6.120000-6 2.800840+4 6.200000-6 3.054630+4 6.270000-6 3.273790+4 6.350000-6 3.520100+4 6.456542-6 3.840222+4 6.550000-6 4.112450+4 6.650000-6 4.394190+4 6.770000-6 4.718300+4 6.890000-6 5.026550+4 7.000000-6 5.295150+4 7.150000-6 5.639330+4 7.270000-6 5.896420+4 7.420000-6 6.195360+4 7.600000-6 6.522250+4 7.770000-6 6.800490+4 8.000000-6 7.132650+4 8.222426-6 7.408953+4 8.420000-6 7.620330+4 8.709636-6 7.877665+4 9.015711-6 8.089231+4 9.350000-6 8.259260+4 9.700000-6 8.379910+4 1.011579-5 8.461119+4 1.059254-5 8.488474+4 1.109175-5 8.458672+4 1.161449-5 8.378956+4 1.230269-5 8.220599+4 1.310000-5 7.987300+4 1.396368-5 7.701720+4 1.500000-5 7.340210+4 1.621810-5 6.916435+4 1.778279-5 6.402763+4 1.972423-5 5.826260+4 2.238721-5 5.151196+4 2.347000-5 4.909469+4 2.347000-5 6.616268+7 2.371374-5 5.679143+7 2.375000-5 5.556420+7 2.375000-5 8.838060+7 2.383000-5 8.426568+7 2.400000-5 7.603558+7 2.410000-5 7.170723+7 2.426610-5 6.517590+7 2.440000-5 6.050297+7 2.454709-5 5.586733+7 2.470000-5 5.157235+7 2.483133-5 4.821972+7 2.493000-5 4.592377+7 2.511886-5 4.191991+7 2.520000-5 4.035969+7 2.540973-5 3.666860+7 2.550000-5 3.523250+7 2.570396-5 3.225214+7 2.600160-5 2.854183+7 2.610000-5 2.743782+7 2.635000-5 2.491341+7 2.650000-5 2.354134+7 2.665000-5 2.228639+7 2.691535-5 2.026887+7 2.700000-5 1.968427+7 2.740000-5 1.719646+7 2.754229-5 1.643037+7 2.795000-5 1.443805+7 2.851018-5 1.221127+7 2.917427-5 1.012804+7 2.985383-5 8.454708+6 3.054921-5 7.096353+6 3.150000-5 5.660941+6 3.235937-5 4.669364+6 3.330000-5 3.825445+6 3.427678-5 3.147585+6 3.507519-5 2.708574+6 3.540000-5 2.553953+6 3.589219-5 2.341643+6 3.630781-5 2.182511+6 3.672823-5 2.036370+6 3.715352-5 1.904522+6 3.758374-5 1.783408+6 3.801894-5 1.674245+6 3.830000-5 1.609333+6 3.880000-5 1.505455+6 3.900000-5 1.467060+6 3.950000-5 1.380374+6 3.970000-5 1.348339+6 4.027170-5 1.266474+6 4.042000-5 1.246861+6 4.050000-5 1.237122+6 4.050000-5 1.488716+6 4.073803-5 1.465379+6 4.090000-5 1.450016+6 4.110000-5 1.432307+6 4.150000-5 1.401720+6 4.168694-5 1.388768+6 4.180000-5 1.380850+6 4.220000-5 1.356723+6 4.240000-5 1.345889+6 4.270000-5 1.332116+6 4.280000-5 1.327430+6 4.300000-5 1.318916+6 4.350000-5 1.301795+6 4.365158-5 1.297354+6 4.370000-5 1.295852+6 4.420000-5 1.283591+6 4.470000-5 1.276211+6 4.490900-5 1.272865+6 4.570882-5 1.267813+6 4.650000-5 1.268484+6 4.680000-5 1.271103+6 4.738600-5 1.275188+6 4.800000-5 1.283795+6 4.820000-5 1.286197+6 4.841724-5 1.289206+6 4.900000-5 1.299677+6 4.954502-5 1.310435+6 5.011872-5 1.322601+6 5.080000-5 1.338216+6 5.150000-5 1.354941+6 5.248075-5 1.379714+6 5.308844-5 1.395157+6 5.432503-5 1.427821+6 5.623413-5 1.475170+6 5.850000-5 1.528049+6 5.900000-5 1.539020+6 6.025596-5 1.564525+6 6.095369-5 1.578057+6 6.165950-5 1.590944+6 6.309573-5 1.614560+6 6.400000-5 1.627576+6 6.580000-5 1.649890+6 6.606934-5 1.652958+6 6.683439-5 1.660925+6 6.839116-5 1.674108+6 6.918310-5 1.680017+6 7.150000-5 1.691448+6 7.161434-5 1.691911+6 7.328245-5 1.695639+6 7.413102-5 1.696947+6 7.500000-5 1.697565+6 7.762471-5 1.694791+6 7.800000-5 1.694098+6 7.852356-5 1.692842+6 8.150000-5 1.681229+6 8.222426-5 1.677989+6 8.413951-5 1.666884+6 8.511380-5 1.660964+6 8.650000-5 1.651884+6 8.810489-5 1.639594+6 8.912509-5 1.631950+6 9.120108-5 1.615577+6 9.440609-5 1.586751+6 9.660509-5 1.566673+6 1.000000-4 1.533613+6 1.023293-4 1.510321+6 1.059254-4 1.473040+6 1.060000-4 1.472290+6 1.083927-4 1.447733+6 1.096478-4 1.434279+6 1.122018-4 1.407219+6 1.148154-4 1.379731+6 1.150000-4 1.377832+6 1.194100-4 1.331046+6 1.202264-4 1.322471+6 1.224700-4 1.299052+6 1.264540-4 1.257055+6 1.273503-4 1.247970+6 1.303167-4 1.217982+6 1.318257-4 1.202449+6 1.350000-4 1.170493+6 1.396368-4 1.125523+6 1.428894-4 1.094330+6 1.445440-4 1.078860+6 1.500000-4 1.029521+6 1.548817-4 9.870025+5 1.566751-4 9.718586+5 1.621810-4 9.273108+5 1.678804-4 8.833152+5 1.757924-4 8.270235+5 1.760000-4 8.256167+5 1.778279-4 8.130285+5 1.819701-4 7.856567+5 1.927525-4 7.203148+5 1.972423-4 6.950365+5 2.041738-4 6.583109+5 2.089296-4 6.347494+5 2.150000-4 6.059051+5 2.264644-4 5.561988+5 2.344229-4 5.245917+5 2.454709-4 4.844304+5 2.540973-4 4.557022+5 2.630268-4 4.283483+5 2.660725-4 4.195346+5 2.691535-4 4.106952+5 2.800000-4 3.817583+5 2.951209-4 3.459998+5 2.986400-4 3.382583+5 2.986400-4 2.517879+6 3.000000-4 2.497513+6 3.016500-4 2.473124+6 3.016500-4 3.707511+6 3.100000-4 3.489986+6 3.215000-4 3.220726+6 3.273407-4 3.101611+6 3.427678-4 2.783086+6 3.430000-4 2.778655+6 3.467369-4 2.707099+6 3.507519-4 2.635739+6 3.548134-4 2.568106+6 3.600000-4 2.485287+6 3.650000-4 2.412504+6 3.711600-4 2.329498+6 3.711600-4 2.598028+6 3.715352-4 2.593229+6 3.758374-4 2.540884+6 3.801894-4 2.489744+6 3.890451-4 2.390007+6 3.935501-4 2.340929+6 3.985000-4 2.288824+6 4.027170-4 2.245152+6 4.050000-4 2.221042+6 4.073803-4 2.195835+6 4.168694-4 2.098132+6 4.216965-4 2.050162+6 4.229500-4 2.037582+6 4.280000-4 1.987282+6 4.365158-4 1.905360+6 4.415704-4 1.858516+6 4.518559-4 1.768207+6 4.623810-4 1.681847+6 4.700000-4 1.622769+6 4.731513-4 1.598837+6 4.786301-4 1.558428+6 5.011872-4 1.406019+6 5.069907-4 1.369844+6 5.080000-4 1.363541+6 5.248075-4 1.265909+6 5.370318-4 1.201174+6 5.432503-4 1.169702+6 5.559043-4 1.108274+6 5.688529-4 1.050101+6 5.821032-4 9.950418+5 6.025596-4 9.179322+5 6.165950-4 8.696321+5 6.200000-4 8.583048+5 6.237348-4 8.460374+5 6.382635-4 8.006118+5 6.531306-4 7.576934+5 6.606934-4 7.371211+5 6.700000-4 7.126998+5 6.760830-4 6.972726+5 7.040300-4 6.313287+5 7.328245-4 5.723256+5 7.500000-4 5.408321+5 7.585776-4 5.259502+5 7.673615-4 5.113138+5 7.800000-4 4.911508+5 7.852356-4 4.830419+5 7.943282-4 4.693961+5 8.317638-4 4.186407+5 8.413951-4 4.068545+5 8.709636-4 3.730963+5 8.912509-4 3.519839+5 9.225714-4 3.225735+5 9.440609-4 3.043850+5 9.500000-4 2.996148+5 9.549926-4 2.956850+5 9.700000-4 2.842452+5 1.011579-3 2.555263+5 1.059254-3 2.271323+5 1.083927-3 2.140817+5 1.096478-3 2.078211+5 1.110000-3 2.013626+5 1.135011-3 1.901388+5 1.150000-3 1.838286+5 1.188502-3 1.687980+5 1.216186-3 1.590432+5 1.244515-3 1.498097+5 1.273503-3 1.410859+5 1.303167-3 1.328782+5 1.333521-3 1.250938+5 1.364583-3 1.177765+5 1.428894-3 1.043476+5 1.479108-3 9.527589+4 1.500000-3 9.180213+4 1.513561-3 8.964137+4 1.548817-3 8.434512+4 1.570000-3 8.137330+4 1.603245-3 7.696499+4 1.621810-3 7.464652+4 1.678804-3 6.809008+4 1.698244-3 6.602426+4 1.757924-3 6.020462+4 1.798871-3 5.661878+4 1.800000-3 5.652422+4 1.819701-3 5.489700+4 1.862087-3 5.160969+4 1.927525-3 4.703835+4 2.018366-3 4.154889+4 2.041738-3 4.028171+4 2.065380-3 3.904465+4 2.162719-3 3.447173+4 2.187762-3 3.341374+4 2.213095-3 3.238887+4 2.344229-3 2.770504+4 2.371374-3 2.684696+4 2.483133-3 2.367915+4 2.511886-3 2.294889+4 2.540973-3 2.223974+4 2.660725-3 1.960897+4 2.691535-3 1.900261+4 2.722701-3 1.841029+4 2.754229-3 1.783635+4 2.851018-3 1.622250+4 2.917427-3 1.523049+4 3.054921-3 1.341683+4 3.126079-3 1.259467+4 3.162278-3 1.219948+4 3.235937-3 1.144614+4 3.273407-3 1.108756+4 3.349654-3 1.040447+4 3.388442-3 1.007780+4 3.507519-3 9.157606+3 3.583300-3 8.631675+3 3.583300-3 7.827128+4 3.630781-3 7.582829+4 3.672823-3 7.375210+4 3.758374-3 6.976924+4 3.890451-3 6.408181+4 3.935501-3 6.229055+4 3.981072-3 6.054922+4 4.027170-3 5.880623+4 4.168694-3 5.387363+4 4.216965-3 5.227832+4 4.265795-3 5.072865+4 4.365158-3 4.776586+4 4.500000-3 4.411574+4 4.570882-3 4.235010+4 4.623810-3 4.109471+4 4.897788-3 3.535600+4 5.000000-3 3.349714+4 5.069907-3 3.230283+4 5.128614-3 3.134497+4 5.188000-3 3.041562+4 5.308844-3 2.863839+4 5.623413-3 2.463707+4 5.650000-3 2.433488+4 5.821032-3 2.245540+4 5.888437-3 2.176931+4 5.956621-3 2.110424+4 6.025596-3 2.045952+4 6.095369-3 1.983437+4 6.165950-3 1.922835+4 6.531306-3 1.646525+4 6.760830-3 1.500079+4 6.839116-3 1.454219+4 6.998420-3 1.366672+4 7.000000-3 1.365841+4 7.079458-3 1.324890+4 7.161434-3 1.283531+4 7.585776-3 1.095328+4 7.943282-3 9.647454+3 8.000000-3 9.460086+3 8.128305-3 9.054171+3 8.222426-3 8.771323+3 8.511380-3 7.965847+3 8.912509-3 7.005858+3 9.332543-3 6.160918+3 9.500000-3 5.862613+3 9.549926-3 5.776161+3 1.011579-2 4.906588+3 1.047129-2 4.449062+3 1.096478-2 3.904301+3 1.109175-2 3.778867+3 1.122018-2 3.657477+3 1.135011-2 3.539979+3 1.150000-2 3.410672+3 1.202264-2 3.000973+3 1.230269-2 2.808470+3 1.288250-2 2.459428+3 1.318257-2 2.301532+3 1.333521-2 2.226434+3 1.348963-2 2.153783+3 1.400000-2 1.935210+3 1.445440-2 1.762819+3 1.462177-2 1.704524+3 1.513561-2 1.540808+3 1.566751-2 1.392814+3 1.584893-2 1.346716+3 1.603245-2 1.302145+3 1.698244-2 1.100461+3 1.737801-2 1.027976+3 1.757924-2 9.935133+2 1.798871-2 9.280156+2 1.883649-2 8.096869+2 1.905461-2 7.825435+2 1.927525-2 7.563113+2 2.065380-2 6.163885+2 2.137962-2 5.557560+2 2.162719-2 5.369007+2 2.238721-2 4.840858+2 2.317395-2 4.364693+2 2.344229-2 4.216625+2 2.483133-2 3.548318+2 2.511886-2 3.427844+2 2.600160-2 3.087068+2 2.691535-2 2.780162+2 2.884032-2 2.254885+2 2.917427-2 2.177550+2 2.951209-2 2.102865+2 3.019952-2 1.961094+2 3.090295-2 1.828772+2 3.126079-2 1.765373+2 3.235937-2 1.588048+2 3.548134-2 1.197520+2 3.672823-2 1.077257+2 3.758374-2 1.003812+2 3.845918-2 9.353753+1 3.890451-2 9.029245+1 3.981072-2 8.407905+1 4.073803-2 7.829344+1 4.570882-2 5.481853+1 4.786301-2 4.752965+1 4.954502-2 4.270613+1 5.000000-2 4.151359+1 5.754399-2 2.676226+1 6.095369-2 2.235482+1 6.237348-2 2.080216+1 6.606934-2 1.737617+1 6.760830-2 1.616128+1 7.161434-2 1.348291+1 7.413102-2 1.209327+1 7.498942-2 1.166266+1 8.317638-2 8.415652+0 8.413951-2 8.116006+0 8.609938-2 7.548348+0 9.332543-2 5.856512+0 9.549926-2 5.446921+0 1.011580-1 4.543938+0 1.023293-1 4.382178+0 1.047129-1 4.075712+0 1.148154-1 3.048270+0 1.202264-1 2.636226+0 1.216186-1 2.542229+0 1.333521-1 1.901417+0 1.348963-1 1.833624+0 1.412538-1 1.585785+0 1.428894-1 1.529251+0 1.462177-1 1.422188+0 1.531088-1 1.231603+0 1.566751-1 1.146118+0 1.584893-1 1.105627+0 1.640590-1 9.925437-1 1.659587-1 9.574817-1 1.737801-1 8.291896-1 1.778279-1 7.716440-1 1.819701-1 7.180909-1 1.862087-1 6.687622-1 1.883649-1 6.454056-1 1.949845-1 5.801183-1 2.000000-1 5.363694-1 2.137962-1 4.365420-1 2.187762-1 4.065873-1 2.213095-1 3.923903-1 2.238721-1 3.787042-1 2.317395-1 3.409499-1 2.398833-1 3.069647-1 2.426610-1 2.964067-1 2.483133-1 2.763681-1 2.570396-1 2.488214-1 2.600160-1 2.402735-1 2.691535-1 2.167236-1 2.754229-1 2.023235-1 2.951209-1 1.646142-1 2.985383-1 1.590514-1 3.000000-1 1.567927-1 3.019952-1 1.537785-1 3.054921-1 1.486805-1 3.090295-1 1.437515-1 3.235937-1 1.256191-1 3.311311-1 1.174299-1 3.349654-1 1.135377-1 3.388442-1 1.097745-1 3.427678-1 1.062145-1 3.467369-1 1.027699-1 3.548134-1 9.621367-2 3.630781-1 9.007576-2 3.715352-1 8.432952-2 3.801894-1 7.894987-2 3.845918-1 7.644929-2 3.890451-1 7.402802-2 3.935501-1 7.168390-2 4.120975-1 6.302673-2 4.168694-1 6.103103-2 4.216965-1 5.909859-2 4.265795-1 5.727359-2 4.315191-1 5.550495-2 4.518559-1 4.896150-2 4.623810-1 4.598511-2 4.677351-1 4.456548-2 4.731513-1 4.322470-2 4.786301-1 4.192428-2 4.897788-1 3.944027-2 4.954502-1 3.825403-2 5.011872-1 3.710351-2 5.128614-1 3.490521-2 5.188000-1 3.388286-2 5.248075-1 3.289045-2 5.308844-1 3.192738-2 5.432503-1 3.008503-2 5.623413-1 2.751897-2 5.688529-1 2.673612-2 5.754399-1 2.597554-2 5.888437-1 2.451912-2 5.956621-1 2.382184-2 6.165950-1 2.184675-2 6.237348-1 2.124522-2 6.309573-1 2.066028-2 6.382635-1 2.009161-2 6.531306-1 1.900081-2 6.683439-1 1.796925-2 6.760830-1 1.747467-2 6.839117-1 1.701027-2 6.918310-1 1.655822-2 7.161434-1 1.527326-2 7.244360-1 1.486751-2 7.328245-1 1.447254-2 7.413102-1 1.410065-2 7.498942-1 1.373926-2 7.585776-1 1.338715-2 7.852356-1 1.238436-2 8.035261-1 1.175794-2 8.128305-1 1.146579-2 8.222427-1 1.118165-2 8.317638-1 1.090455-2 8.511380-1 1.037096-2 8.609938-1 1.011405-2 8.709636-1 9.863500-3 8.912509-1 9.380879-3 9.015711-1 9.156552-3 9.120108-1 8.937667-3 9.225714-1 8.724014-3 9.660509-1 7.919315-3 9.772372-1 7.737763-3 9.885531-1 7.560448-3 1.022000+0 7.070507-3 1.035142+0 6.890925-3 1.047129+0 6.733018-3 1.083927+0 6.280705-3 1.096478+0 6.140410-3 1.109175+0 6.003561-3 1.130300+0 5.785876-3 1.135011+0 5.738976-3 1.148154+0 5.611127-3 1.174898+0 5.363914-3 1.188502+0 5.244435-3 1.202264+0 5.131352-3 1.230269+0 4.913056-3 1.258925+0 4.704058-3 1.288250+0 4.504019-3 1.303167+0 4.407220-3 1.333521+0 4.226140-3 1.364583+0 4.053022-3 1.396368+0 3.887000-3 1.428894+0 3.727837-3 1.445440+0 3.650719-3 1.479108+0 3.506653-3 1.531087+0 3.301782-3 1.548817+0 3.236185-3 1.566751+0 3.171920-3 1.603245+0 3.047192-3 1.640590+0 2.931648-3 1.698244+0 2.766996-3 1.717908+0 2.714196-3 1.737801+0 2.662419-3 1.778279+0 2.561814-3 1.819701+0 2.468500-3 1.840772+0 2.423267-3 1.883649+0 2.335275-3 1.905461+0 2.292484-3 1.927525+0 2.250493-3 1.972423+0 2.168805-3 1.995262+0 2.129082-3 2.044000+0 2.051014-3 2.113489+0 1.947872-3 2.137962+0 1.913567-3 2.187762+0 1.846780-3 2.238721+0 1.782325-3 2.264644+0 1.750947-3 2.317395+0 1.691867-3 2.398833+0 1.607202-3 2.426610+0 1.579933-3 2.511886+0 1.500897-3 2.570396+0 1.450415-3 2.600160+0 1.425815-3 2.660725+0 1.379505-3 2.754229+0 1.313037-3 2.786121+0 1.291600-3 2.884032+0 1.229389-3 2.951209+0 1.189590-3 3.000000+0 1.162036-3 3.054921+0 1.133333-3 3.162278+0 1.080787-3 3.198895+0 1.063819-3 3.311311+0 1.014514-3 3.388442+0 9.829194-4 3.467369+0 9.523101-4 3.548134+0 9.236178-4 3.672823+0 8.823066-4 3.715352+0 8.689512-4 3.845918+0 8.300980-4 3.935501+0 8.051659-4 4.073803+0 7.691659-4 4.168694+0 7.467855-4 4.315191+0 7.145146-4 4.365158+0 7.040708-4 4.570882+0 6.638120-4 4.677351+0 6.445545-4 4.841724+0 6.167111-4 4.954502+0 5.993395-4 5.188000+0 5.661327-4 5.248075+0 5.581225-4 5.495409+0 5.272087-4 5.623413+0 5.124001-4 5.821032+0 4.909639-4 6.000000+0 4.734338-4 6.237348+0 4.519403-4 6.309573+0 4.457518-4 6.683439+0 4.160658-4 6.839116+0 4.047526-4 7.161434+0 3.830411-4 7.413102+0 3.679216-4 7.852356+0 3.440897-4 7.943282+0 3.395119-4 8.317638+0 3.218067-4 8.511380+0 3.133035-4 8.810489+0 3.009683-4 9.225714+0 2.856504-4 1.000000+1 2.607465-4 1.011579+1 2.573708-4 1.059254+1 2.443019-4 1.083927+1 2.380186-4 1.135011+1 2.259327-4 1.216186+1 2.093185-4 1.303167+1 1.939570-4 1.318257+1 1.915087-4 1.348963+1 1.867055-4 1.396368+1 1.797257-4 1.479108+1 1.686677-4 1.678804+1 1.470596-4 1.778279+1 1.381924-4 1.800000+1 1.363921-4 1.840772+1 1.331320-4 1.905461+1 1.282569-4 2.454709+1 9.800831-5 2.511886+1 9.564449-5 2.540973+1 9.448402-5 2.600160+1 9.220561-5 3.758374+1 6.276257-5 3.801894+1 6.201265-5 3.845918+1 6.127258-5 3.890451+1 6.054149-5 3.935501+1 5.981909-5 6.382635+1 3.639784-5 6.456542+1 3.596984-5 6.531306+1 3.554723-5 6.606934+1 3.512960-5 6.683439+1 3.471691-5 6.760830+1 3.430908-5 1.273503+2 1.803271-5 1.288250+2 1.782304-5 1.303167+2 1.761595-5 1.318257+2 1.741126-5 1.333521+2 1.720898-5 1.348963+2 1.700903-5 2.540973+2 8.986580-6 2.570396+2 8.882937-6 2.600160+2 8.780527-6 2.630268+2 8.679300-6 2.660725+2 8.579244-6 2.691535+2 8.480340-6 1.011579+3 2.248104-6 1.023293+3 2.222298-6 1.035142+3 2.196795-6 1.047129+3 2.171583-6 1.059254+3 2.146662-6 1.071519+3 2.122028-6 1.000000+5 2.270959-8 1 19000 7 0 3.910200+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.220000-6 4.220000-6 2.347000-5 4.220000-6 2.347000-5 2.345572-5 2.375000-5 2.345320-5 2.375000-5 2.356340-5 3.235937-5 2.342181-5 4.050000-5 2.312723-5 4.050000-5 2.606324-5 4.300000-5 2.708637-5 4.490900-5 2.769357-5 4.680000-5 2.810202-5 4.900000-5 2.836591-5 5.150000-5 2.847374-5 5.623413-5 2.838752-5 7.161434-5 2.769355-5 8.511380-5 2.733358-5 1.023293-4 2.710236-5 1.303167-4 2.697462-5 1.927525-4 2.701059-5 2.986400-4 2.733986-5 2.986400-4 4.781538-5 3.016500-4 4.782089-5 3.016500-4 4.895259-5 3.711600-4 4.884746-5 3.711600-4 5.220348-5 4.073803-4 5.283217-5 4.518559-4 5.324073-5 5.559043-4 5.391677-5 7.943282-4 5.557534-5 1.110000-3 5.736332-5 1.513561-3 5.922266-5 2.018366-3 6.109118-5 2.540973-3 6.262045-5 3.273407-3 6.430704-5 3.583300-3 6.490483-5 3.583300-3 9.743763-5 5.650000-3 9.813270-5 1.122018-2 9.870732-5 3.235937-2 9.908978-5 3.349654-1 9.926160-5 1.000000+5 9.927507-5 1 19000 7 7 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.220000-6 0.0 2.986400-4 0.0 2.986400-4 4.392779-8 3.016500-4 4.393647-8 3.016500-4 4.612574-8 3.711600-4 4.587093-8 3.711600-4 4.955951-8 4.073803-4 5.024304-8 4.415704-4 5.058589-8 5.688529-4 5.136517-8 7.943282-4 5.280005-8 1.110000-3 5.443213-8 1.548817-3 5.627975-8 2.065380-3 5.801274-8 2.722701-3 5.973567-8 3.507519-3 6.130108-8 3.583300-3 6.143569-8 3.583300-3 4.008706-4 4.365158-3 4.036023-4 6.165950-3 4.065934-4 1.011579-2 4.091808-4 2.162719-2 4.108161-4 1.428894-1 4.113817-4 1.000000+5 4.114009-4 1 19000 7 9 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.220000-6 0.0 2.347000-5 1.925000-5 2.347000-5 1.428407-8 2.375000-5 2.968046-7 2.375000-5 1.865988-7 2.440000-5 8.420695-7 2.754229-5 4.021968-6 3.150000-5 8.055810-6 3.672823-5 1.345548-5 4.050000-5 1.737277-5 4.050000-5 1.443676-5 4.240000-5 1.554145-5 4.370000-5 1.636780-5 4.490900-5 1.721543-5 4.570882-5 1.781761-5 4.738600-5 1.919327-5 4.954502-5 2.113620-5 5.150000-5 2.302626-5 5.432503-5 2.587523-5 7.413102-5 4.652047-5 9.440609-5 6.722000-5 1.500000-4 1.230395-4 2.986400-4 2.713001-4 2.986400-4 2.507807-4 3.016500-4 2.537852-4 3.016500-4 2.526513-4 3.711600-4 3.222667-4 3.711600-4 3.189070-4 6.531306-4 5.984428-4 3.162278-3 3.098132-3 3.583300-3 3.518334-3 3.583300-3 3.084992-3 3.890451-2 3.839412-2 1.000000+5 1.000000+5 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 3.583300-3 6.963960+4 3.758374-3 6.220989+4 3.981072-3 5.410998+4 4.168694-3 4.821022+4 5.650000-3 2.192880+4 7.079458-3 1.198473+4 8.222426-3 7.949537+3 9.500000-3 5.321720+3 1.150000-2 3.100940+3 1.400000-2 1.761622+3 1.698244-2 1.002631+3 2.065380-2 5.619546+2 2.511886-2 3.126717+2 3.090295-2 1.668765+2 3.890451-2 8.241905+1 5.000000-2 3.790180+1 6.606934-2 1.586661+1 1.047129-1 3.722125+0 1.462177-1 1.298471+0 1.819701-1 6.556651-1 2.238721-1 3.457754-1 2.600160-1 2.193626-1 2.985383-1 1.452113-1 3.388442-1 1.002208-1 3.801894-1 7.207780-2 4.216965-1 5.395432-2 4.677351-1 4.068670-2 5.128614-1 3.186745-2 5.623413-1 2.512383-2 6.165950-1 1.994499-2 6.760830-1 1.595334-2 7.328245-1 1.321254-2 8.035261-1 1.073547-2 8.912509-1 8.565937-3 9.660509-1 7.231104-3 1.083927+0 5.734677-3 1.188502+0 4.788429-3 1.303167+0 4.023924-3 1.445440+0 3.333249-3 1.603245+0 2.782224-3 1.778279+0 2.339062-3 1.995262+0 1.943939-3 2.264644+0 1.598696-3 2.600160+0 1.301832-3 3.000000+0 1.061000-3 3.467369+0 8.695069-4 4.073803+0 7.022898-4 4.841724+0 5.630920-4 5.821032+0 4.482743-4 7.161434+0 3.497363-4 8.810489+0 2.747978-4 1.135011+1 2.062844-4 1.479108+1 1.539982-4 1.905461+1 1.171026-4 2.600160+1 8.419056-5 3.935501+1 5.461923-5 6.760830+1 3.132687-5 1.348963+2 1.553069-5 2.691535+2 7.743314-6 1.071519+3 1.937605-6 1.000000+5 2.073600-8 1 19000 7 0 3.910200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 3.583300-3 1.014700-4 1.000000+5 1.014700-4 1 19000 7 7 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.583300-3 4.505500-4 1.000000+5 4.505500-4 1 19000 7 9 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.583300-3 3.031280-3 1.000000+5 1.000000+5 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 3.711600-4 2.685300+5 3.801894-4 2.713788+5 3.890451-4 2.721673+5 3.985000-4 2.710472+5 4.073803-4 2.683791+5 4.168694-4 2.640520+5 4.280000-4 2.573241+5 4.365158-4 2.511340+5 4.518559-4 2.389316+5 4.786301-4 2.186683+5 5.080000-4 1.983878+5 5.370318-4 1.835308+5 6.200000-4 1.490266+5 6.700000-4 1.321556+5 7.673615-4 1.059648+5 8.413951-4 9.064654+4 9.549926-4 7.242181+4 1.059254-3 5.992451+4 1.216186-3 4.610982+4 1.364583-3 3.681282+4 1.570000-3 2.775160+4 1.800000-3 2.089060+4 2.041738-3 1.596731+4 2.344229-3 1.180283+4 2.691535-3 8.659030+3 3.126079-3 6.140179+3 3.630781-3 4.318443+3 4.216965-3 3.012972+3 4.897788-3 2.085551+3 5.623413-3 1.474724+3 6.531306-3 1.005708+3 7.585776-3 6.808888+2 8.912509-3 4.438460+2 1.047129-2 2.871300+2 1.230269-2 1.844290+2 1.462177-2 1.138655+2 1.737801-2 6.976978+1 2.065380-2 4.244042+1 2.483133-2 2.478285+1 3.019952-2 1.388108+1 3.672823-2 7.715511+0 4.570882-2 3.970348+0 5.754399-2 1.957326+0 7.161434-2 9.931127-1 1.428894-1 1.146297-1 1.862087-1 5.027981-2 2.213095-1 2.957781-2 2.570396-1 1.880204-2 2.985383-1 1.203836-2 3.388442-1 8.317654-3 3.801894-1 5.987239-3 4.216965-1 4.484487-3 4.677351-1 3.382948-3 5.128614-1 2.650482-3 5.623413-1 2.090523-3 6.165950-1 1.660410-3 6.760830-1 1.328656-3 7.413102-1 1.071574-3 8.128305-1 8.706255-4 8.912509-1 7.123785-4 9.660509-1 6.017031-4 1.096478+0 4.665342-4 1.202264+0 3.898928-4 1.333521+0 3.209938-4 1.479108+0 2.663085-4 1.640590+0 2.226459-4 1.819701+0 1.874692-4 2.044000+0 1.557800-4 2.317395+0 1.285041-4 2.660725+0 1.047796-4 3.054921+0 8.609093-5 3.548134+0 7.015527-5 4.168694+0 5.672512-5 4.954502+0 4.552685-5 6.000000+0 3.595900-5 7.413102+0 2.794519-5 9.225714+0 2.169486-5 1.216186+1 1.589461-5 1.678804+1 1.116553-5 2.454709+1 7.443176-6 3.801894+1 4.711214-6 6.456542+1 2.732639-6 1.288250+2 1.354080-6 2.570396+2 6.749185-7 1.023293+3 1.688616-7 1.000000+5 1.725700-9 1 19000 7 0 3.910200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 3.711600-4 8.131700-5 1.000000+5 8.131700-5 1 19000 7 7 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.711600-4 8.155800-8 1.000000+5 8.155800-8 1 19000 7 9 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.711600-4 2.897614-4 1.000000+5 1.000000+5 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 3.016500-4 1.234387+6 3.215000-4 1.014280+6 3.467369-4 8.235927+5 3.507519-4 8.005000+5 3.650000-4 7.314600+5 3.801894-4 6.725800+5 4.050000-4 5.927300+5 4.229500-4 5.400200+5 4.623810-4 4.409200+5 5.011872-4 3.654200+5 5.370318-4 3.087200+5 6.025596-4 2.308500+5 6.606934-4 1.818100+5 7.500000-4 1.296100+5 8.413951-4 9.472400+4 9.700000-4 6.370700+4 1.083927-3 4.644800+4 1.244515-3 3.112300+4 1.428894-3 2.067600+4 1.621810-3 1.411300+4 1.862087-3 9.236500+3 2.162719-3 5.787000+3 2.511886-3 3.596500+3 2.917427-3 2.218200+3 3.388442-3 1.357700+3 3.935501-3 8.247300+2 4.570882-3 4.971800+2 5.308844-3 2.974600+2 6.165950-3 1.767000+2 7.161434-3 1.042700+2 8.511380-3 5.628900+1 1.011579-2 3.014900+1 1.202264-2 1.603100+1 1.445440-2 8.111500+0 1.757924-2 3.901700+0 2.137962-2 1.863000+0 2.691535-2 7.745200-1 3.548134-2 2.678872-1 6.760830-2 2.226469-2 8.413951-2 9.636127-3 1.011580-1 4.792465-3 1.202264-1 2.508895-3 1.412538-1 1.381809-3 1.640590-1 7.999192-4 1.883649-1 4.865082-4 2.137962-1 3.106989-4 2.398833-1 2.081250-4 2.691535-1 1.404235-4 3.000000-1 9.760412-5 3.349654-1 6.795380-5 3.715352-1 4.871183-5 4.120975-1 3.518605-5 4.518559-1 2.653045-5 4.954502-1 2.013993-5 5.432503-1 1.540347-5 5.956621-1 1.186698-5 6.531306-1 9.209004-6 7.161434-1 7.198711-6 7.852356-1 5.668170-6 8.709636-1 4.348324-6 9.225714-1 3.774360-6 9.772372-1 3.298097-6 1.035142+0 2.905277-6 1.109175+0 2.514447-6 1.174898+0 2.244572-6 1.258925+0 1.972548-6 1.364583+0 1.707282-6 1.640590+0 1.244628-6 1.840772+0 1.027924-6 2.044000+0 8.699200-7 2.317395+0 7.176625-7 2.660725+0 5.851556-7 3.054921+0 4.807574-7 3.548134+0 3.917629-7 4.168694+0 3.167684-7 4.954502+0 2.542418-7 6.000000+0 2.008000-7 7.413102+0 1.560528-7 9.225714+0 1.211483-7 1.216186+1 8.875899-8 1.678804+1 6.235168-8 2.454709+1 4.156546-8 3.758374+1 2.662483-8 6.382635+1 1.544053-8 1.273503+2 7.650155-9 2.540973+2 3.812779-9 1.011579+3 9.53920-10 1.000000+5 9.63710-12 1 19000 7 0 3.910200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 3.016500-4 5.122000-5 1.000000+5 5.122000-5 1 19000 7 7 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.016500-4 5.051200-8 1.000000+5 5.051200-8 1 19000 7 9 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.016500-4 2.503795-4 1.000000+5 1.000000+5 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 2.986400-4 2.179621+6 3.273407-4 1.853087+6 3.430000-4 1.671716+6 3.600000-4 1.495980+6 3.715352-4 1.399304+6 4.027170-4 1.189499+6 4.216965-4 1.076350+6 4.700000-4 8.390920+5 5.069907-4 7.015043+5 5.432503-4 5.913703+5 6.165950-4 4.281531+5 6.760830-4 3.362620+5 7.800000-4 2.286600+5 8.709636-4 1.687018+5 1.011579-3 1.106618+5 1.150000-3 7.649800+4 1.303167-3 5.301202+4 1.479108-3 3.630856+4 1.678804-3 2.470223+4 1.927525-3 1.610768+4 2.213095-3 1.042790+4 2.540973-3 6.704790+3 2.917427-3 4.282725+3 3.349654-3 2.717681+3 3.890451-3 1.648183+3 4.500000-3 1.005828+3 5.188000-3 6.164435+2 6.025596-3 3.656199+2 7.000000-3 2.151104+2 8.128305-3 1.259635+2 9.549926-3 7.023291+1 1.135011-2 3.727592+1 1.348963-2 1.963801+1 1.603245-2 1.027264+1 1.927525-2 5.108830+0 2.344229-2 2.413808+0 2.917427-2 1.036134+0 3.845918-2 3.528651-1 7.413102-2 2.699879-2 9.332543-2 1.102930-2 1.148154-1 4.962006-3 1.333521-1 2.805515-3 1.531088-1 1.668480-3 1.737801-1 1.042942-3 1.949845-1 6.848832-4 2.187762-1 4.529844-4 2.426610-1 3.143209-4 2.691535-1 2.196913-4 2.951209-1 1.608658-4 3.235937-1 1.186191-4 3.548134-1 8.811766-5 3.845918-1 6.837553-5 4.168694-1 5.340515-5 4.518559-1 4.199112-5 4.897788-1 3.323100-5 5.308844-1 2.646494-5 5.754399-1 2.121611-5 6.237348-1 1.712615-5 6.683439-1 1.433879-5 7.244360-1 1.173631-5 7.852356-1 9.674917-6 8.511380-1 8.031406-6 9.225714-1 6.710376-6 9.885531-1 5.789189-6 1.083927+0 4.796039-6 1.174898+0 4.094078-6 1.288250+0 3.440995-6 1.428894+0 2.851807-6 1.603245+0 2.333829-6 1.778279+0 1.961971-6 1.972423+0 1.660237-6 2.238721+0 1.364559-6 2.570396+0 1.110427-6 2.951209+0 9.106149-7 3.388442+0 7.523433-7 3.935501+0 6.161925-7 4.677351+0 4.932885-7 5.623413+0 3.921652-7 6.839116+0 3.097598-7 8.511380+0 2.397983-7 1.083927+1 1.821831-7 1.396368+1 1.375510-7 1.840772+1 1.019077-7 2.540973+1 7.233703-8 3.845918+1 4.691360-8 6.606934+1 2.689821-8 1.318257+2 1.333149-8 2.630268+2 6.646060-9 1.047129+3 1.662915-9 1.000000+5 1.73910-11 1 19000 7 0 3.910200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 2.986400-4 5.099300-5 1.000000+5 5.099300-5 1 19000 7 7 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.986400-4 5.074500-8 1.000000+5 5.074500-8 1 19000 7 9 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.986400-4 2.475963-4 1.000000+5 1.000000+5 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 4.050000-5 2.515940+5 4.168694-5 2.776310+5 4.270000-5 2.987180+5 4.365158-5 3.171568+5 4.470000-5 3.359200+5 4.570882-5 3.523729+5 4.680000-5 3.683980+5 4.800000-5 3.840120+5 4.954502-5 4.011838+5 5.080000-5 4.128600+5 5.248075-5 4.255370+5 5.432503-5 4.359600+5 5.623413-5 4.433925+5 5.850000-5 4.485000+5 6.095369-5 4.503044+5 6.309573-5 4.494031+5 6.606934-5 4.451760+5 6.918310-5 4.380612+5 7.328245-5 4.260385+5 7.800000-5 4.102040+5 8.413951-5 3.884903+5 9.120108-5 3.638804+5 1.000000-4 3.351620+5 1.096478-4 3.065087+5 1.202264-4 2.783278+5 1.318257-4 2.507649+5 1.428894-4 2.273783+5 1.566751-4 2.018728+5 1.757924-4 1.725253+5 2.041738-4 1.393896+5 2.344229-4 1.136443+5 2.630268-4 9.519883+4 3.000000-4 7.712020+4 3.548134-4 5.841295+4 4.073803-4 4.615794+4 4.731513-4 3.547740+4 5.688529-4 2.546207+4 6.606934-4 1.930721+4 7.943282-4 1.362949+4 9.500000-4 9.635640+3 1.110000-3 7.081740+3 1.303167-3 5.117698+3 1.513561-3 3.753038+3 1.757924-3 2.732024+3 2.018366-3 2.024133+3 2.344229-3 1.450988+3 2.722701-3 1.032214+3 3.162278-3 7.288641+2 3.672823-3 5.109796+2 4.265795-3 3.556633+2 5.000000-3 2.402703+2 5.821032-3 1.638593+2 6.760830-3 1.116343+2 7.943282-3 7.327451+1 9.332543-3 4.771117+1 1.096478-2 3.083819+1 1.288250-2 1.979136+1 1.513561-2 1.261205+1 1.798871-2 7.721218+0 2.162719-2 4.538994+0 2.600160-2 2.648514+0 3.126079-2 1.534323+0 3.845918-2 8.232911-1 4.786301-2 4.233619-1 6.095369-2 2.013681-1 8.317638-2 7.657509-2 1.584893-1 1.022161-2 1.949845-1 5.378109-3 2.317395-1 3.168747-3 2.691535-1 2.017409-3 3.090295-1 1.339840-3 3.467369-1 9.589848-4 3.890451-1 6.913562-4 4.315191-1 5.186232-4 4.786301-1 3.919180-4 5.248075-1 3.076093-4 5.754399-1 2.430783-4 6.309573-1 1.934660-4 6.918310-1 1.551246-4 7.585776-1 1.253077-4 8.317638-1 1.019645-4 9.015711-1 8.566382-5 9.772372-1 7.243030-5 1.130300+0 5.415700-5 1.258925+0 4.403604-5 1.396368+0 3.637882-5 1.548817+0 3.028310-5 1.717908+0 2.539884-5 1.905461+0 2.144968-5 2.137962+0 1.790796-5 2.426610+0 1.478470-5 2.786121+0 1.208581-5 3.198895+0 9.954740-6 3.715352+0 8.130907-6 4.365158+0 6.588317-6 5.248075+0 5.222598-6 6.309573+0 4.171043-6 7.943282+0 3.176892-6 1.011579+1 2.408258-6 1.318257+1 1.792032-6 1.778279+1 1.293350-6 2.540973+1 8.846993-7 3.845918+1 5.737667-7 6.606934+1 3.289682-7 1.318257+2 1.630543-7 2.630268+2 8.128226-8 1.047129+3 2.033805-8 1.000000+5 2.12700-10 1 19000 7 0 3.910200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 4.050000-5 4.050000-5 1.000000+5 4.050000-5 1 19000 7 9 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.050000-5 0.0 1.000000+5 1.000000+5 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 2.375000-5 3.281640+7 2.383000-5 3.130980+7 2.410000-5 2.652200+7 2.440000-5 2.224460+7 2.470000-5 1.885654+7 2.493000-5 1.672180+7 2.520000-5 1.463454+7 2.550000-5 1.271818+7 2.570396-5 1.161510+7 2.600160-5 1.023833+7 2.635000-5 8.904780+6 2.665000-5 7.944200+6 2.700000-5 6.997260+6 2.740000-5 6.097480+6 2.795000-5 5.102960+6 2.851018-5 4.304364+6 2.917427-5 3.560489+6 2.985383-5 2.964984+6 3.054921-5 2.482999+6 3.150000-5 1.974936+6 3.235937-5 1.624679+6 3.330000-5 1.326914+6 3.427678-5 1.087902+6 3.540000-5 8.781300+5 3.630781-5 7.469414+5 3.715352-5 6.485833+5 3.801894-5 5.671034+5 3.880000-5 5.071600+5 3.950000-5 4.625600+5 4.027170-5 4.218371+5 4.090000-5 3.942700+5 4.150000-5 3.719980+5 4.220000-5 3.503720+5 4.280000-5 3.351020+5 4.350000-5 3.205960+5 4.420000-5 3.091900+5 4.490900-5 3.003575+5 4.570882-5 2.932078+5 4.650000-5 2.886260+5 4.738600-5 2.859499+5 4.820000-5 2.853860+5 4.900000-5 2.862900+5 5.011872-5 2.894959+5 5.150000-5 2.957980+5 5.308844-5 3.051921+5 6.025596-5 3.550714+5 6.309573-5 3.724251+5 6.580000-5 3.862060+5 6.839116-5 3.967417+5 7.150000-5 4.061160+5 7.413102-5 4.115646+5 7.762471-5 4.156357+5 8.150000-5 4.167100+5 8.511380-5 4.151007+5 8.912509-5 4.110223+5 9.440609-5 4.029419+5 1.000000-4 3.920780+5 1.060000-4 3.786960+5 1.122018-4 3.636637+5 1.194100-4 3.453934+5 1.273503-4 3.249856+5 1.350000-4 3.055180+5 1.445440-4 2.821081+5 1.548817-4 2.584172+5 1.678804-4 2.314094+5 1.819701-4 2.057863+5 1.972423-4 1.818093+5 2.150000-4 1.581750+5 2.344229-4 1.364520+5 2.540973-4 1.180591+5 2.800000-4 9.831940+4 3.100000-4 8.046940+4 3.427678-4 6.554869+4 3.758374-4 5.396064+4 4.168694-4 4.302272+4 4.700000-4 3.282800+4 5.248075-4 2.543399+4 5.821032-4 1.988450+4 6.531306-4 1.502047+4 7.328245-4 1.127415+4 8.317638-4 8.160774+3 9.440609-4 5.862798+3 1.059254-3 4.310615+3 1.188502-3 3.147405+3 1.333521-3 2.282733+3 1.500000-3 1.632613+3 1.698244-3 1.137139+3 1.927525-3 7.802124+2 2.187762-3 5.312748+2 2.483133-3 3.591801+2 2.851018-3 2.325584+2 3.273407-3 1.494842+2 3.758374-3 9.540925+1 4.365158-3 5.820832+1 5.069907-3 3.523365+1 5.888437-3 2.115847+1 6.839116-3 1.260345+1 8.000000-3 7.266271+0 9.332543-3 4.197442+0 1.109175-2 2.251632+0 1.318257-2 1.198872+0 1.566751-2 6.336951-1 1.905461-2 3.051275-1 2.317395-2 1.457777-1 2.951209-2 5.804009-2 4.073803-2 1.684312-2 6.606934-2 2.620046-3 8.413951-2 1.040004-3 1.023293-1 4.955751-4 1.216186-1 2.594590-4 1.428894-1 1.428824-4 1.659587-1 8.273553-5 1.883649-1 5.246247-5 2.137962-1 3.350541-5 2.398833-1 2.244308-5 2.691535-1 1.514146-5 3.000000-1 1.052400-5 3.349654-1 7.327567-6 3.715352-1 5.253113-6 4.120975-1 3.794689-6 4.518559-1 2.861212-6 4.954502-1 2.171997-6 5.432503-1 1.660909-6 5.956621-1 1.279171-6 6.531306-1 9.920683-7 7.161434-1 7.749274-7 7.852356-1 6.097384-7 8.609938-1 4.810547-7 9.120108-1 4.170894-7 9.660509-1 3.640127-7 1.022000+0 3.211000-7 1.083927+0 2.834523-7 1.148154+0 2.523639-7 1.230269+0 2.212764-7 1.333521+0 1.911741-7 1.479108+0 1.597406-7 1.717908+0 1.238470-7 1.905461+0 1.045095-7 2.137962+0 8.723474-8 2.426610+0 7.202139-8 2.786121+0 5.887437-8 3.198895+0 4.849300-8 3.715352+0 3.960820-8 4.365158+0 3.209363-8 5.248075+0 2.544078-8 6.309573+0 2.031825-8 7.943282+0 1.547558-8 1.011579+1 1.173136-8 1.318257+1 8.729397-9 1.800000+1 6.218500-9 2.540973+1 4.309541-9 3.890451+1 2.761864-9 6.683439+1 1.583789-9 1.333521+2 7.85084-10 2.660725+2 3.91398-10 1.059254+3 9.79381-11 1.000000+5 1.03610-12 1 19000 7 0 3.910200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 2.375000-5 2.375000-5 1.000000+5 2.375000-5 1 19000 7 9 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.375000-5 0.0 1.000000+5 1.000000+5 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.347000-5 6.611359+7 2.371374-5 5.674285+7 2.400000-5 4.779040+7 2.426610-5 4.107376+7 2.454709-5 3.531212+7 2.483133-5 3.056947+7 2.511886-5 2.664357+7 2.540973-5 2.335883+7 2.570396-5 2.059228+7 2.610000-5 1.755296+7 2.650000-5 1.508852+7 2.691535-5 1.301187+7 2.740000-5 1.105704+7 2.795000-5 9.294000+6 2.851018-5 7.866648+6 2.917427-5 6.528237+6 2.985383-5 5.451337+6 3.054921-5 4.575870+6 3.150000-5 3.649688+6 3.235937-5 3.009364+6 3.330000-5 2.464240+6 3.427678-5 2.026401+6 3.507519-5 1.742488+6 3.589219-5 1.505939+6 3.672823-5 1.309352+6 3.758374-5 1.146669+6 3.830000-5 1.035040+6 3.900000-5 9.440200+5 3.970000-5 8.681760+5 4.042000-5 8.036676+5 4.110000-5 7.535120+5 4.180000-5 7.112520+5 4.240000-5 6.815880+5 4.300000-5 6.572120+5 4.370000-5 6.346080+5 4.420000-5 6.218440+5 4.490900-5 6.079541+5 4.570882-5 5.974143+5 4.650000-5 5.915040+5 4.738600-5 5.893071+5 4.841724-5 5.915148+5 4.954502-5 5.984986+5 5.080000-5 6.104160+5 5.248075-5 6.309636+5 5.900000-5 7.246760+5 6.165950-5 7.588969+5 6.400000-5 7.847160+5 6.683439-5 8.101380+5 6.918310-5 8.264093+5 7.161434-5 8.389271+5 7.500000-5 8.498040+5 7.852356-5 8.543335+5 8.222426-5 8.529711+5 8.650000-5 8.454280+5 9.120108-5 8.317531+5 9.660509-5 8.110745+5 1.023293-4 7.852340+5 1.083927-4 7.552127+5 1.150000-4 7.208160+5 1.224700-4 6.809285+5 1.303167-4 6.391436+5 1.396368-4 5.910975+5 1.500000-4 5.406640+5 1.621810-4 4.866624+5 1.760000-4 4.325760+5 1.927525-4 3.765390+5 2.089296-4 3.307613+5 2.264644-4 2.887100+5 2.454709-4 2.501864+5 2.660725-4 2.154199+5 2.951209-4 1.761542+5 3.273407-4 1.428842+5 3.600000-4 1.171096+5 3.935501-4 9.660348+4 4.415704-4 7.471046+4 5.011872-4 5.585054+4 5.559043-4 4.373968+4 6.237348-4 3.308788+4 7.040300-4 2.450100+4 7.852356-4 1.857062+4 8.912509-4 1.336399+4 1.011579-3 9.548174+3 1.135011-3 6.982539+3 1.273503-3 5.071311+3 1.428894-3 3.658441+3 1.603245-3 2.620813+3 1.819701-3 1.801798+3 2.065380-3 1.229191+3 2.344229-3 8.322854+2 2.660725-3 5.596227+2 3.054921-3 3.602713+2 3.507519-3 2.302979+2 4.027170-3 1.461631+2 4.623810-3 9.213830+1 5.308844-3 5.768187+1 6.095369-3 3.586091+1 7.079458-3 2.125916+1 8.222426-3 1.250901+1 9.549926-3 7.308743+0 1.122018-2 4.065850+0 1.333521-2 2.151362+0 1.603245-2 1.082205+0 1.927525-2 5.403254-1 2.317395-2 2.677205-1 2.884032-2 1.153336-1 3.758374-2 4.125499-2 7.498942-2 2.775065-3 9.549926-2 1.085732-3 1.148154-1 5.347794-4 1.348963-1 2.898441-4 1.566751-1 1.653690-4 1.778279-1 1.035660-4 2.000000-1 6.755100-5 2.238721-1 4.514174-5 2.483133-1 3.138404-5 2.754229-1 2.197926-5 3.019952-1 1.612208-5 3.311311-1 1.190783-5 3.630781-1 8.861003-6 3.935501-1 6.886817-6 4.265795-1 5.389194-6 4.623810-1 4.245285-6 5.011872-1 3.366242-6 5.432503-1 2.686668-6 5.888437-1 2.159098-6 6.382635-1 1.748142-6 6.918310-1 1.425785-6 7.498942-1 1.171127-6 8.222427-1 9.429465-7 8.912509-1 7.854999-7 9.660509-1 6.594069-7 1.047129+0 5.579793-7 1.148154+0 4.644925-7 1.258925+0 3.897156-7 1.396368+0 3.224192-7 1.566751+0 2.634346-7 1.737801+0 2.211283-7 1.927525+0 1.868513-7 2.187762+0 1.533681-7 2.511886+0 1.246406-7 2.884032+0 1.020814-7 3.311311+0 8.423714-8 3.845918+0 6.891843-8 4.570882+0 5.511383-8 5.495409+0 4.377415-8 6.683439+0 3.454554-8 8.317638+0 2.672131-8 1.059254+1 2.028677-8 1.348963+1 1.550209-8 1.800000+1 1.132600-8 2.540973+1 7.849339-9 3.845918+1 5.090685-9 6.531306+1 2.953229-9 1.303167+2 1.463563-9 2.600160+2 7.29548-10 1.035142+3 1.82536-10 1.000000+5 1.88710-12 1 19000 7 0 3.910200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.347000-5 2.347000-5 1.000000+5 2.347000-5 1 19000 7 9 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.347000-5 0.0 1.000000+5 1.000000+5 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 4.220000-6 5.499681+4 4.228000-6 5.273570+4 4.245000-6 4.970310+4 4.280000-6 4.382770+4 4.315191-6 3.844009+4 4.340000-6 3.495570+4 4.380000-6 2.979770+4 4.420000-6 2.521230+4 4.450000-6 2.210150+4 4.477000-6 1.955220+4 4.500000-6 1.754120+4 4.527000-6 1.535910+4 4.550000-6 1.365370+4 4.570882-6 1.222126+4 4.593000-6 1.081700+4 4.615000-6 9.526440+3 4.635000-6 8.444570+3 4.650000-6 7.686720+3 4.670000-6 6.748280+3 4.692000-6 5.805330+3 4.710000-6 5.100230+3 4.728000-6 4.452460+3 4.742000-6 3.986980+3 4.755000-6 3.583680+3 4.770000-6 3.151910+3 4.786301-6 2.722309+3 4.800000-6 2.392190+3 4.815000-6 2.062130+3 4.827000-6 1.821220+3 4.838000-6 1.617660+3 4.850000-6 1.414200+3 4.860000-6 1.259190+3 4.874000-6 1.063580+3 4.885000-6 9.270580+2 4.900000-6 7.644670+2 4.922000-6 5.735530+2 4.935000-6 4.863540+2 4.943000-6 4.418330+2 4.950000-6 4.085090+2 4.957000-6 3.802960+2 4.962000-6 3.632480+2 4.967000-6 3.487590+2 4.971500-6 3.378750+2 4.977000-6 3.273430+2 4.981000-6 3.215440+2 4.985000-6 3.173110+2 4.989000-6 3.146290+2 4.993000-6 3.134900+2 4.997000-6 3.138860+2 5.001500-6 3.161160+2 5.005000-6 3.191580+2 5.010000-6 3.254690+2 5.015000-6 3.340770+2 5.020000-6 3.449480+2 5.025000-6 3.580480+2 5.031000-6 3.766860+2 5.037000-6 3.984640+2 5.042000-6 4.189770+2 5.052000-6 4.663590+2 5.065000-6 5.403530+2 5.092000-6 7.369590+2 5.105000-6 8.515290+2 5.120000-6 9.989930+2 5.135000-6 1.162440+3 5.146000-6 1.291960+3 5.158000-6 1.442510+3 5.172000-6 1.629860+3 5.188000-6 1.858724+3 5.200000-6 2.040540+3 5.215000-6 2.279380+3 5.230000-6 2.530890+3 5.248075-6 2.849872+3 5.263000-6 3.125990+3 5.280000-6 3.453800+3 5.300000-6 3.856930+3 5.320000-6 4.277810+3 5.340000-6 4.715800+3 5.365000-6 5.285730+3 5.390000-6 5.878580+3 5.410000-6 6.368990+3 5.440000-6 7.128690+3 5.470000-6 7.915260+3 5.500000-6 8.725850+3 5.535000-6 9.699870+3 5.570000-6 1.070060+4 5.610000-6 1.187290+4 5.650000-6 1.307160+4 5.688529-6 1.424744+4 5.730000-6 1.553220+4 5.770000-6 1.678700+4 5.821032-6 1.840527+4 5.865000-6 1.981080+4 5.920000-6 2.157850+4 5.980000-6 2.351200+4 6.050000-6 2.576560+4 6.120000-6 2.800840+4 6.200000-6 3.054630+4 6.270000-6 3.273790+4 6.350000-6 3.520100+4 6.456542-6 3.840222+4 6.550000-6 4.112450+4 6.650000-6 4.394190+4 6.770000-6 4.718300+4 6.890000-6 5.026550+4 7.000000-6 5.295150+4 7.150000-6 5.639330+4 7.270000-6 5.896420+4 7.420000-6 6.195360+4 7.600000-6 6.522250+4 7.770000-6 6.800490+4 8.000000-6 7.132650+4 8.222426-6 7.408953+4 8.420000-6 7.620330+4 8.709636-6 7.877665+4 9.015711-6 8.089231+4 9.350000-6 8.259260+4 9.700000-6 8.379910+4 1.011579-5 8.461119+4 1.059254-5 8.488474+4 1.109175-5 8.458672+4 1.161449-5 8.378956+4 1.230269-5 8.220599+4 1.310000-5 7.987300+4 1.396368-5 7.701720+4 1.500000-5 7.340210+4 1.621810-5 6.916435+4 1.778279-5 6.402763+4 1.972423-5 5.826260+4 2.238721-5 5.151196+4 2.754229-5 4.171829+4 4.073803-5 2.784538+4 6.918310-5 1.639806+4 7.852356-5 1.438044+4 8.810489-5 1.267333+4 9.660509-5 1.138187+4 1.059254-4 1.015002+4 1.148154-4 9.126714+3 1.264540-4 7.972950+3 1.396368-4 6.885504+3 1.566751-4 5.760201+3 1.778279-4 4.697570+3 2.691535-4 2.365370+3 3.273407-4 1.698117+3 3.890451-4 1.258650+3 4.518559-4 9.635742+2 5.370318-4 7.027724+2 6.382635-4 5.088334+2 7.585776-4 3.657853+2 9.225714-4 2.497032+2 1.096478-3 1.769638+2 1.303167-3 1.244675+2 1.548817-3 8.687432+1 1.798871-3 6.320745+1 2.065380-3 4.679717+1 2.371374-3 3.437442+1 2.754229-3 2.441910+1 3.235937-3 1.676020+1 3.758374-3 1.173329+1 4.365158-3 8.156307+0 5.128614-3 5.470604+0 5.956621-3 3.748717+0 6.998420-3 2.476010+0 8.128305-3 1.672542+0 9.549926-3 1.087810+0 1.122018-2 7.023126-1 1.333521-2 4.360388-1 1.584893-2 2.686047-1 1.883649-2 1.642232-1 2.238721-2 9.968323-2 2.691535-2 5.809088-2 3.235937-2 3.360654-2 3.981072-2 1.801058-2 4.954502-2 9.251444-3 6.237348-2 4.554428-3 8.609938-2 1.669900-3 1.584893-1 2.483058-4 1.949845-1 1.306509-4 2.317395-1 7.698304-5 2.691535-1 4.901734-5 3.054921-1 3.367920-5 3.427678-1 2.409529-5 3.845918-1 1.736318-5 4.265795-1 1.301947-5 4.731513-1 9.834944-6 5.188000-1 7.717478-6 5.688529-1 6.098163-6 6.237348-1 4.853548-6 6.839117-1 3.892215-6 7.498942-1 3.145519-6 8.128305-1 2.628090-6 8.912509-1 2.157352-6 9.772372-1 1.784362-6 1.135011+0 1.325596-6 1.258925+0 1.086513-6 1.396368+0 8.970312-7 1.531087+0 7.613809-7 1.698244+0 6.380389-7 1.883649+0 5.384747-7 2.113489+0 4.492652-7 2.398833+0 3.706816-7 2.754229+0 3.028220-7 3.162278+0 2.492681-7 3.672823+0 2.034804-7 4.315191+0 1.647911-7 5.188000+0 1.305694-7 6.237348+0 1.042326-7 7.852356+0 7.935290-8 1.000000+1 6.013100-8 1.303167+1 4.472982-8 1.778279+1 3.187502-8 2.511886+1 2.206933-8 3.845918+1 1.414063-8 6.683439+1 8.012917-9 1.333521+2 3.972110-9 2.660725+2 1.980195-9 1.059254+3 4.95496-10 1.000000+5 5.24210-12 1 19000 7 0 3.910200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 4.220000-6 4.220000-6 1.000000+5 4.220000-6 1 19000 7 9 3.910200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.220000-6 0.0 1.000000+5 1.000000+5 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.479330-8 1.028750+0 1.479330-7 1.035300+0 1.112660-6 1.036640+0 1.479330-6 1.038200+0 1.996400-6 1.039700+0 2.593730-6 1.041500+0 3.450930-6 1.043800+0 4.790010-6 1.046400+0 6.664400-6 1.048300+0 8.297360-6 1.051200+0 1.125520-5 1.054080+0 1.479330-5 1.057700+0 2.016410-5 1.061100+0 2.622840-5 1.065100+0 3.472330-5 1.070400+0 4.844220-5 1.076200+0 6.694660-5 1.080600+0 8.360530-5 1.087100+0 1.126450-4 1.093710+0 1.479330-4 1.102600+0 2.051170-4 1.110700+0 2.675280-4 1.120600+0 3.579000-4 1.133300+0 4.976630-4 1.147500+0 6.871970-4 1.158200+0 8.540410-4 1.174100+0 1.141310-3 1.190110+0 1.479330-3 1.205100+0 1.840700-3 1.227500+0 2.462730-3 1.250000+0 3.185000-3 1.280300+0 4.307090-3 1.307700+0 5.464120-3 1.343000+0 7.143540-3 1.382200+0 9.243220-3 1.433800+0 1.235660-2 1.500000+0 1.689000-2 1.562500+0 2.169000-2 1.617200+0 2.627610-2 1.712900+0 3.505900-2 1.784700+0 4.220670-2 1.892300+0 5.364670-2 2.000000+0 6.577000-2 2.044000+0 7.086000-2 2.163500+0 8.492520-2 2.372600+0 1.100050-1 2.647100+0 1.430530-1 3.000000+0 1.850000-1 3.437500+0 2.356810-1 4.000000+0 2.977000-1 4.750000+0 3.736970-1 5.000000+0 3.976000-1 6.000000+0 4.869000-1 7.000000+0 5.663000-1 8.000000+0 6.378000-1 9.000000+0 7.025000-1 1.000000+1 7.612000-1 1.100000+1 8.145000-1 1.200000+1 8.633000-1 1.300000+1 9.086000-1 1.400000+1 9.506000-1 1.500000+1 9.899000-1 1.600000+1 1.027000+0 1.800000+1 1.094000+0 2.000000+1 1.155000+0 2.200000+1 1.209000+0 2.400000+1 1.259000+0 2.600000+1 1.304000+0 2.800000+1 1.346000+0 3.000000+1 1.384000+0 4.000000+1 1.543000+0 5.000000+1 1.662000+0 6.000000+1 1.754000+0 8.000000+1 1.891000+0 1.000000+2 1.990000+0 1.500000+2 2.150000+0 2.000000+2 2.248000+0 3.000000+2 2.364000+0 4.000000+2 2.432000+0 5.000000+2 2.476000+0 6.000000+2 2.509000+0 8.000000+2 2.552000+0 1.000000+3 2.580000+0 1.500000+3 2.621000+0 2.000000+3 2.644000+0 3.000000+3 2.668000+0 4.000000+3 2.681000+0 5.000000+3 2.689000+0 6.000000+3 2.695000+0 8.000000+3 2.703000+0 1.000000+4 2.708000+0 1.500000+4 2.714000+0 2.000000+4 2.718000+0 3.000000+4 2.722000+0 4.000000+4 2.724000+0 5.000000+4 2.725000+0 6.000000+4 2.726000+0 8.000000+4 2.727000+0 1.000000+5 2.727000+0 1 19000 7 8 3.910200+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 19000 7 9 3.910200+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 1.907910-7 2.119500+0 1.070800-6 2.127900+0 1.452210-6 2.136250+0 1.907910-6 2.147000+0 2.615880-6 2.156900+0 3.397710-6 2.169000+0 4.534460-6 2.184500+0 6.303050-6 2.201800+0 8.720450-6 2.214800+0 1.086500-5 2.234200+0 1.461530-5 2.253680+0 1.907910-5 2.281500+0 2.672370-5 2.307000+0 3.510150-5 2.338200+0 4.719700-5 2.377400+0 6.536230-5 2.410200+0 8.313000-5 2.446800+0 1.057460-4 2.485900+0 1.331400-4 2.532900+0 1.703900-4 2.556430+0 1.907910-4 2.611900+0 2.432780-4 2.660400+0 2.941090-4 2.745300+0 3.936420-4 2.809000+0 4.767200-4 2.904500+0 6.141240-4 3.000000+0 7.666000-4 3.125000+0 9.885570-4 3.234400+0 1.202930-3 3.425800+0 1.620150-3 3.569300+0 1.964830-3 3.784700+0 2.526270-3 4.000000+0 3.130000-3 4.250000+0 3.868300-3 4.625000+0 5.028950-3 5.000000+0 6.236000-3 5.500000+0 7.893790-3 6.000000+0 9.576000-3 6.750000+0 1.208440-2 7.000000+0 1.291000-2 8.000000+0 1.614000-2 9.000000+0 1.924000-2 1.000000+1 2.219000-2 1.100000+1 2.499000-2 1.200000+1 2.763000-2 1.300000+1 3.012000-2 1.400000+1 3.250000-2 1.500000+1 3.475000-2 1.600000+1 3.690000-2 1.800000+1 4.089000-2 2.000000+1 4.453000-2 2.200000+1 4.788000-2 2.400000+1 5.097000-2 2.600000+1 5.383000-2 2.800000+1 5.649000-2 3.000000+1 5.897000-2 4.000000+1 6.935000-2 5.000000+1 7.734000-2 6.000000+1 8.376000-2 8.000000+1 9.357000-2 1.000000+2 1.009000-1 1.500000+2 1.132000-1 2.000000+2 1.211000-1 3.000000+2 1.311000-1 4.000000+2 1.371000-1 5.000000+2 1.414000-1 6.000000+2 1.445000-1 8.000000+2 1.489000-1 1.000000+3 1.518000-1 1.500000+3 1.563000-1 2.000000+3 1.589000-1 3.000000+3 1.617000-1 4.000000+3 1.634000-1 5.000000+3 1.644000-1 6.000000+3 1.651000-1 8.000000+3 1.661000-1 1.000000+4 1.667000-1 1.500000+4 1.676000-1 2.000000+4 1.681000-1 3.000000+4 1.686000-1 4.000000+4 1.689000-1 5.000000+4 1.691000-1 6.000000+4 1.692000-1 8.000000+4 1.693000-1 1.000000+5 1.694000-1 1 19000 7 8 3.910200+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 19000 7 9 3.910200+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 1.900000+1 1.000000+5 1.900000+1 5.000000+5 1.898900+1 7.500000+5 1.897680+1 1.000000+6 1.896100+1 1.375000+6 1.892790+1 1.500000+6 1.891600+1 1.750000+6 1.888670+1 2.000000+6 1.885300+1 2.375000+6 1.879410+1 2.500000+6 1.877400+1 2.875000+6 1.870460+1 3.000000+6 1.868100+1 3.250000+6 1.862820+1 3.625000+6 1.854570+1 4.000000+6 1.845900+1 4.437500+6 1.834870+1 4.812500+6 1.825090+1 5.000000+6 1.820200+1 5.500000+6 1.806130+1 5.875000+6 1.795400+1 6.437500+6 1.778980+1 6.500000+6 1.777170+1 7.000000+6 1.762500+1 8.000000+6 1.732650+1 8.500000+6 1.717580+1 9.000000+6 1.702600+1 1.000000+7 1.672500+1 1.187500+7 1.616720+1 1.250000+7 1.598300+1 1.437500+7 1.542400+1 1.500000+7 1.523700+1 1.687500+7 1.466710+1 1.750000+7 1.447700+1 1.937500+7 1.390430+1 2.000000+7 1.371500+1 2.250000+7 1.296730+1 2.500000+7 1.225400+1 2.750000+7 1.158280+1 3.000000+7 1.096300+1 3.250000+7 1.039770+1 3.625000+7 9.658170+0 4.000000+7 9.041800+0 4.437500+7 8.458600+0 4.500000+7 8.384790+0 5.000000+7 7.872000+0 5.750000+7 7.284320+0 6.000000+7 7.116600+0 6.750000+7 6.656370+0 7.000000+7 6.510900+0 7.500000+7 6.223810+0 8.000000+7 5.939900+0 8.500000+7 5.657910+0 9.000000+7 5.378900+0 9.500000+7 5.104040+0 1.000000+8 4.834300+0 1.062500+8 4.505780+0 1.109400+8 4.268180+0 1.179700+8 3.928120+0 1.187500+8 3.891720+0 1.250000+8 3.610000+0 1.312500+8 3.346480+0 1.437500+8 2.886060+0 1.500000+8 2.690700+0 1.671900+8 2.258640+0 1.718800+8 2.163150+0 1.789100+8 2.034620+0 1.929700+8 1.822700+0 2.000000+8 1.735300+0 2.125000+8 1.605170+0 2.253900+8 1.498920+0 2.341800+8 1.440240+0 2.447300+8 1.382270+0 2.500000+8 1.357700+0 2.625000+8 1.309350+0 2.906300+8 1.219640+0 3.000000+8 1.188900+0 3.125000+8 1.144800+0 3.500000+8 1.020100+0 3.875000+8 9.264170-1 4.000000+8 8.961000-1 4.179700+8 8.501730-1 4.330100+8 8.109350-1 4.569300+8 7.494500-1 4.892300+8 6.720290-1 5.000000+8 6.482000-1 5.343800+8 5.783960-1 5.578100+8 5.347740-1 5.789100+8 4.973090-1 6.000000+8 4.613000-1 6.625000+8 3.684970-1 6.812500+8 3.473120-1 7.000000+8 3.296000-1 7.250000+8 3.108020-1 7.625000+8 2.867380-1 7.812500+8 2.745350-1 8.000000+8 2.614000-1 8.183600+8 2.474020-1 8.352100+8 2.340230-1 8.558000+8 2.175260-1 8.817100+8 1.972960-1 9.034000+8 1.813110-1 9.586000+8 1.460510-1 1.000000+9 1.251000-1 1.045900+9 1.068560-1 1.088000+9 9.355130-2 1.139500+9 8.047790-2 1.205600+9 6.735100-2 1.405400+9 4.184940-2 1.500000+9 3.395100-2 1.589800+9 2.793500-2 1.665000+9 2.380340-2 1.784700+9 1.859260-2 1.928200+9 1.402920-2 2.000000+9 1.226500-2 2.375000+9 6.493140-3 2.703100+9 4.007370-3 3.277300+9 1.944330-3 4.138700+9 8.047270-4 5.000000+9 3.925600-4 8.000000+9 6.579400-5 9.500000+9 3.439460-5 1.00000+10 2.836900-5 1.20500+10 1.415880-5 1.41820+10 7.765550-6 1.71170+10 3.909620-6 2.01490+10 2.169740-6 2.26440+10 1.428200-6 2.74790+10 7.183090-7 3.20120+10 4.197960-7 3.62610+10 2.716660-7 4.42280+10 1.365780-7 5.12000+10 8.263080-8 6.34000+10 3.993010-8 7.94120+10 1.870270-8 1.00000+11 8.671000-9 1.26840+11 3.955180-9 1.58400+11 1.912230-9 2.01970+11 8.69929-10 2.73980+11 3.27082-10 3.88950+11 1.07705-10 6.15400+11 2.56488-11 1.00720+12 5.61907-12 1.85540+12 8.79351-13 4.35530+12 6.87880-14 2.49740+13 4.11473-16 1.00000+14 7.22060-18 5.62340+14 4.47850-20 5.42470+15 5.23062-23 1.00000+17 8.24820-27 1 19000 7 0 3.910200+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 6.20000-12 1.000000+2 6.20000-10 1.000000+3 6.200000-8 1.000000+4 6.200000-6 1.000000+5 6.200000-4 5.000000+5 1.550000-2 7.500000+5 3.487500-2 1.000000+6 6.200000-2 1.375000+6 1.162370-1 1.500000+6 1.377000-1 1.750000+6 1.849790-1 2.000000+6 2.378000-1 2.375000+6 3.265590-1 2.500000+6 3.584000-1 2.875000+6 4.593450-1 3.000000+6 4.946000-1 3.250000+6 5.669560-1 3.625000+6 6.792330-1 4.000000+6 7.945000-1 4.437500+6 9.305160-1 4.812500+6 1.047050+0 5.000000+6 1.105000+0 5.500000+6 1.257150+0 5.875000+6 1.369000+0 6.437500+6 1.532930+0 6.500000+6 1.550770+0 7.000000+6 1.692200+0 8.000000+6 1.965360+0 8.500000+6 2.099210+0 9.000000+6 2.232600+0 1.000000+7 2.500000+0 1.187500+7 3.014380+0 1.250000+7 3.189700+0 1.437500+7 3.724850+0 1.500000+7 3.905000+0 1.687500+7 4.440010+0 1.750000+7 4.616300+0 1.937500+7 5.132740+0 2.000000+7 5.301000+0 2.250000+7 5.947540+0 2.500000+7 6.555000+0 2.750000+7 7.122670+0 3.000000+7 7.652000+0 3.250000+7 8.143610+0 3.625000+7 8.813740+0 4.000000+7 9.405000+0 4.437500+7 1.000180+1 4.500000+7 1.008020+1 5.000000+7 1.065000+1 5.750000+7 1.135840+1 6.000000+7 1.156800+1 6.750000+7 1.214690+1 7.000000+7 1.232900+1 7.500000+7 1.267830+1 8.000000+7 1.301400+1 8.500000+7 1.333510+1 9.000000+7 1.364500+1 9.500000+7 1.393850+1 1.000000+8 1.422000+1 1.062500+8 1.454890+1 1.109400+8 1.478000+1 1.179700+8 1.510030+1 1.187500+8 1.513440+1 1.250000+8 1.539300+1 1.312500+8 1.562780+1 1.437500+8 1.603460+1 1.500000+8 1.621200+1 1.671900+8 1.661370+1 1.718800+8 1.670640+1 1.789100+8 1.683310+1 1.929700+8 1.705530+1 2.000000+8 1.715200+1 2.125000+8 1.730410+1 2.253900+8 1.744160+1 2.341800+8 1.752430+1 2.447300+8 1.761970+1 2.500000+8 1.766400+1 2.625000+8 1.776150+1 2.906300+8 1.795960+1 3.000000+8 1.802000+1 3.125000+8 1.809340+1 3.500000+8 1.829000+1 3.875000+8 1.844740+1 4.000000+8 1.849400+1 4.179700+8 1.855160+1 4.330100+8 1.859810+1 4.569300+8 1.865940+1 4.892300+8 1.873090+1 5.000000+8 1.875200+1 5.343800+8 1.880590+1 5.578100+8 1.883660+1 5.789100+8 1.885920+1 6.000000+8 1.888000+1 6.625000+8 1.892250+1 6.812500+8 1.893190+1 7.000000+8 1.894100+1 7.250000+8 1.894910+1 7.625000+8 1.896080+1 7.812500+8 1.896590+1 8.000000+8 1.897000+1 8.183600+8 1.897250+1 8.352100+8 1.897470+1 8.558000+8 1.897740+1 8.817100+8 1.898070+1 9.034000+8 1.898340+1 9.586000+8 1.898940+1 1.000000+9 1.899200+1 1.045900+9 1.899330+1 1.088000+9 1.899440+1 1.139500+9 1.899570+1 1.205600+9 1.899730+1 1.405400+9 1.899880+1 1.500000+9 1.899900+1 1.589800+9 1.899920+1 1.665000+9 1.899940+1 1.784700+9 1.899960+1 1.928200+9 1.899990+1 2.000000+9 1.900000+1 2.375000+9 1.900000+1 2.703100+9 1.900000+1 3.277300+9 1.900000+1 4.138700+9 1.900000+1 5.000000+9 1.900000+1 8.000000+9 1.900000+1 9.500000+9 1.900000+1 1.00000+10 1.900000+1 1.20500+10 1.900000+1 1.41820+10 1.900000+1 1.71170+10 1.900000+1 2.01490+10 1.900000+1 2.26440+10 1.900000+1 2.74790+10 1.900000+1 3.20120+10 1.900000+1 3.62610+10 1.900000+1 4.42280+10 1.900000+1 5.12000+10 1.900000+1 6.34000+10 1.900000+1 7.94120+10 1.900000+1 1.00000+11 1.900000+1 1.26840+11 1.900000+1 1.58400+11 1.900000+1 2.01970+11 1.900000+1 2.73980+11 1.900000+1 3.88950+11 1.900000+1 6.15400+11 1.900000+1 1.00720+12 1.900000+1 1.85540+12 1.900000+1 4.35530+12 1.900000+1 2.49740+13 1.900000+1 1.00000+14 1.900000+1 5.62340+14 1.900000+1 5.42470+15 1.900000+1 1.00000+17 1.900000+1 1 19000 7 0 3.910200+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.487243-6 0.0 1.493981-6 1.862965+0 1.494300-6 1.950134+0 1.494565-6 2.170288+0 1.498225-6 5.882349+0 1.501886-6 1.050120+1 1.505547-6 1.740965+1 1.509665-6 2.825173+1 1.517373-6 5.349452+1 1.520189-6 6.300095+1 1.524186-6 7.275134+1 1.528072-6 7.699364+1 1.531764-6 7.537416+1 1.535584-6 6.812017+1 1.539379-6 5.692383+1 1.545814-6 3.488053+1 1.549475-6 2.375713+1 1.553148-6 1.497394+1 1.556826-6 8.731538+0 1.560504-6 4.220938+0 1.566021-6 1.072980+0 1.567860-6 0.0 2.375754-6 0.0 2.378389-6 7.170412-7 2.387449-6 6.847320-6 2.390097-6 9.092624-6 2.393297-6 1.266866-5 2.395951-6 1.624704-5 2.399144-6 2.165813-5 2.401805-6 2.683002-5 2.407659-6 4.094600-5 2.422535-6 8.403495-5 2.428382-6 9.685215-5 2.432448-6 1.018568-4 2.436930-6 1.036732-4 2.442784-6 9.847493-5 2.448638-6 8.641662-5 2.463468-6 4.355835-5 2.466201-6 3.630007-5 2.469316-6 2.896904-5 2.472055-6 2.319807-5 2.475163-6 1.781386-5 2.477909-6 1.369375-5 2.481011-6 1.012876-5 2.483763-6 7.466276-6 2.492706-6 1.188156-6 2.495471-6 1.52699-14 2.498307-6 1.49973-14 2.504294-6 1.33333-14 2.510281-6 1.09425-14 2.522256-6 5.79740-15 2.528243-6 3.74260-15 2.534230-6 2.23032-15 2.540217-6 1.22692-15 2.546204-6 6.23043-16 2.552192-6 0.0 2.871931-6 0.0 2.874361-6 3.352798-3 2.886069-6 5.405067-2 2.888511-6 6.672421-2 2.893138-6 9.981217-2 2.895586-6 1.201874-1 2.900207-6 1.702915-1 2.902661-6 2.000120-1 2.909736-6 3.075076-1 2.928482-6 6.545663-1 2.938035-6 7.775541-1 2.945994-6 7.995511-1 2.953069-6 7.566746-1 2.960586-6 6.533217-1 2.980484-6 2.886054-1 2.987559-6 1.852101-1 2.992102-6 1.348646-1 2.994634-6 1.097611-1 2.999171-6 7.640063-2 3.001709-6 6.006830-2 3.008784-6 2.863791-2 3.013309-6 7.977985-3 3.015859-6 0.0 3.080693-6 0.0 3.082713-6 2.146224-8 3.095858-6 3.535284-7 3.097888-6 4.184335-7 3.103441-6 6.502332-7 3.105476-6 7.534861-7 3.111024-6 1.104633-6 3.113064-6 1.253578-6 3.120651-6 1.926799-6 3.141355-6 4.161102-6 3.151002-6 4.867524-6 3.158590-6 5.032390-6 3.166178-6 4.805601-6 3.173765-6 4.238514-6 3.196529-6 1.804788-6 3.202016-6 1.322408-6 3.204116-6 1.158045-6 3.209599-6 8.033473-7 3.211704-6 6.862016-7 3.217182-6 4.510718-7 3.219292-6 3.754866-7 3.226879-6 1.787351-7 3.232347-6 3.300107-8 3.234467-6 0.0 3.388477-6 0.0 3.389580-6 1.642305-4 3.405158-6 7.728882-3 3.406266-6 8.370006-3 3.414609-6 1.520573-2 3.422952-6 2.550961-2 3.431295-6 3.951889-2 3.455199-6 8.903999-2 3.464667-6 1.025806-1 3.473010-6 1.066727-1 3.481353-6 1.024224-1 3.489696-6 9.079981-2 3.514725-6 3.919412-2 3.523068-6 2.525250-2 3.531411-6 1.502381-2 3.539754-6 8.255063-3 3.548097-6 4.106472-3 3.555283-6 4.245569-4 3.556440-6 1.098560-5 3.564383-6 9.806674-6 3.572905-6 8.021984-6 3.588875-6 4.441641-6 3.598469-6 2.720478-6 3.606991-6 1.617235-6 3.614432-6 9.668358-7 3.615513-6 8.876226-7 3.624034-6 4.386047-7 3.631470-6 3.502886-8 3.632556-6 0.0 3.638327-6 0.0 3.638913-6 2.220786-5 3.656826-6 2.318244-3 3.665783-6 4.223270-3 3.674740-6 7.103524-3 3.683696-6 1.103134-2 3.709969-6 2.530144-2 3.719523-6 2.886967-2 3.728480-6 3.007264-2 3.737437-6 2.892038-2 3.746393-6 2.567648-2 3.755350-6 2.104568-2 3.772656-6 1.143482-2 3.778556-6 8.785550-3 3.782220-6 7.363670-3 3.791177-6 4.907519-3 3.797157-6 3.911752-3 3.800134-6 3.526320-3 3.806457-6 3.227826-3 3.815757-6 3.152453-3 3.818047-6 3.258431-3 3.825058-6 4.458990-3 3.834358-6 6.399041-3 3.843659-6 8.477829-3 3.852959-6 1.036915-2 3.862260-6 1.170814-2 3.871560-6 1.237692-2 3.880860-6 1.214241-2 3.890161-6 1.116205-2 3.912179-6 7.990661-3 3.918062-6 7.357329-3 3.927363-6 6.827044-3 3.936663-6 6.739572-3 3.945963-6 6.907510-3 3.950356-6 7.088579-3 3.964564-6 7.069620-3 3.970578-6 7.210784-3 3.980327-6 7.141957-3 4.020446-6 6.179179-3 4.060032-6 5.509447-3 4.101851-6 4.915364-3 4.138905-6 4.079912-3 4.170128-6 3.018856-3 4.190597-6 2.448401-3 4.208621-6 2.194800-3 4.225552-6 2.210800-3 4.260239-6 2.495522-3 4.280533-6 2.540965-3 4.312803-6 2.389910-3 4.399966-6 1.740930-3 4.479108-6 1.253470-3 4.543971-6 9.278290-4 4.603987-6 6.799833-4 4.651242-6 5.177173-4 4.705491-6 3.643098-4 4.751995-6 2.586385-4 4.793146-6 1.834647-4 4.828184-6 1.321647-4 4.859247-6 9.590515-5 4.885277-6 7.186108-5 4.909613-6 5.438306-5 4.928496-6 4.402442-5 4.947375-6 3.637028-5 4.962000-6 3.224495-5 4.977000-6 2.960644-5 4.995000-6 2.851354-5 5.010000-6 2.928469-5 5.025000-6 3.154373-5 5.043875-6 3.644192-5 5.061748-6 4.313030-5 5.080593-6 5.227479-5 5.104902-6 6.713478-5 5.130745-6 8.657354-5 5.164995-6 1.178436-4 5.204122-6 1.608137-4 5.251408-6 2.223516-4 5.304993-6 3.037943-4 5.394049-6 4.637285-4 5.509357-6 7.095772-4 5.669232-6 1.108077-3 5.842975-6 1.596375-3 6.195000-6 2.690584-3 7.210000-6 5.945419-3 8.033701-6 8.237478-3 9.085975-6 1.055132-2 1.048365-5 1.271055-2 1.243670-5 1.454264-2 1.508787-5 1.571992-2 1.878376-5 1.636617-2 1.887623-5 3.915500-1 1.892246-5 7.016685-1 1.896870-5 1.171877+0 1.901493-5 1.814907+0 1.909575-5 3.248702+0 1.915363-5 4.362185+0 1.919987-5 5.034776+0 1.924610-5 5.435249+0 1.930389-5 5.480807+0 1.934566-5 5.280120+0 1.946994-5 4.127576+0 1.953475-5 3.457480+0 1.958135-5 2.971133+0 1.963991-5 2.355447+0 1.970844-5 1.510497+0 1.978077-5 9.070772-1 1.982773-5 5.914005-1 1.987468-5 3.590716-1 1.992163-5 2.049211-1 1.996859-5 1.121503-1 2.001554-5 1.643473-2 2.115949-5 1.651800-2 2.116212-5 2.919630-2 2.126630-5 5.031488+0 2.131838-5 9.184832+0 2.137349-5 1.598241+1 2.142507-5 2.462380+1 2.150017-5 4.116115+1 2.158480-5 6.090237+1 2.164049-5 7.086116+1 2.168618-5 7.630116+1 2.174912-5 7.798506+1 2.180245-5 7.529532+1 2.198399-5 5.540473+1 2.208083-5 4.599410+1 2.216279-5 4.232164+1 2.221535-5 4.215926+1 2.240558-5 5.413186+1 2.251155-5 5.632360+1 2.266946-5 5.668448+1 2.285035-5 5.264573+1 2.306527-5 4.539323+1 2.325354-5 4.097412+1 2.353028-5 3.489849+1 2.379347-5 2.978598+1 2.412832-5 2.456202+1 2.454773-5 1.980411+1 2.501083-5 1.592988+1 2.550000-5 1.294102+1 2.608841-5 1.035392+1 2.673721-5 8.303939+0 2.743042-5 6.717417+0 2.815681-5 5.485821+0 2.903704-5 4.387803+0 3.004798-5 3.468791+0 3.109581-5 2.776468+0 3.219750-5 2.234867+0 3.344212-5 1.782735+0 3.447523-5 1.498453+0 3.577462-5 1.226615+0 3.692016-5 1.045979+0 3.719278-5 1.054773+0 3.737453-5 1.103308+0 3.763999-5 1.222045+0 3.782890-5 1.250978+0 3.801065-5 1.184651+0 3.828327-5 1.003248+0 3.846502-5 9.217224-1 3.873764-5 8.826611-1 3.926787-5 9.412377-1 4.032828-5 8.726725-1 4.223038-5 8.196670-1 4.420000-5 8.126062-1 4.738600-5 8.647906-1 5.215280-5 1.023215+0 6.309573-5 1.456246+0 7.161434-5 1.731849+0 8.267627-5 1.980097+0 9.660509-5 2.163807+0 1.091009-4 2.245879+0 1.348963-4 2.259076+0 1.895309-4 2.003523+0 2.882930-4 1.496895+0 2.897217-4 1.506776+0 2.904247-4 1.724733+0 2.907984-4 1.924156+0 2.911412-4 2.156965+0 2.919090-4 2.962318+0 2.926099-4 4.051685+0 2.932936-4 5.671629+0 2.940661-4 8.198699+0 2.955613-4 1.466855+1 2.968150-4 2.041456+1 2.978330-4 2.404577+1 2.987196-4 2.567351+1 2.996088-4 2.600888+1 3.006584-4 2.494198+1 3.041608-4 1.823611+1 3.055478-4 1.662352+1 3.080943-4 1.561018+1 3.601408-4 1.281140+1 3.658102-4 1.296829+1 3.730488-4 1.366782+1 5.232991-4 9.542908+0 6.202662-4 7.611621+0 7.259316-4 6.085348+0 8.489082-4 4.834152+0 9.696820-4 3.947948+0 1.096478-3 3.261490+0 1.233815-3 2.705767+0 1.413269-3 2.172670+0 1.581411-3 1.806972+0 1.777580-3 1.487008+0 2.017459-3 1.201254+0 2.273403-3 9.798323-1 2.560420-3 7.983039-1 2.851018-3 6.620786-1 3.246684-3 5.271227-1 3.493035-3 4.672530-1 3.507315-3 4.861298-1 3.517822-3 5.233230-1 3.526443-3 5.844435-1 3.532754-3 6.551166-1 3.539618-3 7.638199-1 3.547827-3 9.470168-1 3.556200-3 1.197089+0 3.568618-3 1.678411+0 3.598302-3 2.981391+0 3.614453-3 3.481965+0 3.633284-3 3.778609+0 3.664113-3 3.874691+0 4.446749-3 2.896798+0 5.046607-3 2.361570+0 5.730208-3 1.921259+0 6.500639-3 1.551536+0 7.404617-3 1.240761+0 8.299702-3 1.015217+0 9.178271-3 8.481705-1 1.022556-2 6.966949-1 1.141153-2 5.694838-1 1.273662-2 4.634741-1 1.410021-2 3.825352-1 1.570494-2 3.109969-1 1.745932-2 2.534348-1 1.928913-2 2.084623-1 2.139308-2 1.698545-1 2.334970-2 1.426443-1 2.574057-2 1.173278-1 2.825681-2 9.708270-2 3.152121-2 7.765637-2 3.465794-2 6.385941-2 3.832836-2 5.187621-2 4.276182-2 4.124973-2 4.640756-2 3.474736-2 5.100427-2 2.849169-2 5.673714-2 2.271816-2 6.300499-2 1.817991-2 6.983709-2 1.458620-2 7.757335-2 1.164140-2 8.522334-2 9.512524-3 9.493598-2 7.543424-3 1.058309-1 5.972964-3 1.179451-1 4.729599-3 1.285190-1 3.932136-3 1.426188-1 3.141225-3 1.551773-1 2.624294-3 1.696047-1 2.172618-3 1.885343-1 1.737694-3 2.081334-1 1.413292-3 2.280793-1 1.168895-3 2.499266-1 9.695770-4 2.780113-1 7.831584-4 3.060021-1 6.480615-4 3.371417-1 5.377225-4 3.808653-1 4.284192-4 4.216965-1 3.568366-4 4.683103-1 2.977605-4 5.188000-1 2.516619-4 5.691600-1 2.175683-4 6.428727-1 1.816835-4 7.244360-1 1.542201-4 8.067354-1 1.345976-4 9.233409-1 1.150643-4 1.070165+0 9.872025-5 1.286622+0 8.182325-5 1.546860+0 6.781835-5 1.859734+0 5.621053-5 2.235892+0 4.658952-5 2.688134+0 3.861523-5 3.231848+0 3.200584-5 3.885536+0 2.652770-5 4.671441+0 2.198721-5 5.616308+0 1.822387-5 6.752287+0 1.510467-5 8.118035+0 1.251935-5 9.760024+0 1.037653-5 1.000000+1 2.047111-5 1 19000 7 0 3.910200+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-1.818702+1 1.228275-6-1.702258+1 1.332390-6-1.556308+1 1.388679-6-1.384613+1 1.420325-6-1.206721+1 1.438781-6-1.041717+1 1.452147-6-8.681407+0 1.460253-6-7.258207+0 1.466579-6-5.847369+0 1.471422-6-4.512069+0 1.475130-6-3.282657+0 1.477969-6-2.178972+0 1.479128-6-1.677564+0 1.481157-6-7.130613-1 1.482679-6 9.830855-2 1.483820-6 7.687019-1 1.484676-6 1.314435+0 1.485960-6 2.224021+0 1.486601-6 2.738072+0 1.491753-6 7.430320+0 1.493663-6 9.559680+0 1.495022-6 1.168914+1 1.501886-6 1.990839+1 1.506805-6 2.529343+1 1.510466-6 2.718076+1 1.512868-6 2.662326+1 1.515285-6 2.458481+1 1.517373-6 2.144459+1 1.519001-6 1.800996+1 1.520189-6 1.460686+1 1.522477-6 7.214262+0 1.523335-6 4.098341+0 1.523721-6 2.492012+0 1.523964-6 1.283934+0 1.524186-6 3.101131-1 1.524602-6-1.396473+0 1.526420-6-8.681047+0 1.527381-6-1.303347+1 1.528072-6-1.659046+1 1.528619-6-1.900534+1 1.530690-6-1.015346+1 1.531111-6-8.102938+0 1.531341-6-6.817624+0 1.531764-6-4.865617+0 1.532147-6-3.240358+0 1.532483-6-1.881211+0 1.533070-6 4.091633-1 1.534392-6 5.445887+0 1.534722-6 6.794295+0 1.535168-6 8.737487+0 1.535947-6 1.148533+1 1.538493-6 1.899045+1 1.540184-6 2.298873+1 1.542581-6 2.673657+1 1.544905-6 2.871372+1 1.548559-6 2.864826+1 1.552746-6 2.525780+1 1.560102-6 1.615870+1 1.561596-6 1.393897+1 1.567401-6 7.891035+0 1.568649-6 6.246187+0 1.570225-6 4.772869+0 1.571012-6 4.146547+0 1.572583-6 3.033542+0 1.574152-6 2.060955+0 1.575718-6 1.195516+0 1.577280-6 4.161329-1 1.578840-6-2.919536-1 1.580396-6-9.397097-1 1.581950-6-1.535614+0 1.585047-6-2.597583+0 1.588136-6-3.519309+0 1.591213-6-4.328126+0 1.597330-6-5.685107+0 1.606417-6-7.256773+0 1.618367-6-8.794615+0 1.633068-6-1.017181+1 1.661629-6-1.194070+1 1.699821-6-1.335966+1 1.770375-6-1.478489+1 1.906043-6-1.601729+1 2.230879-6-1.703195+1 2.886069-6-1.793614+1 2.932017-6-1.789601+1 2.978342-6-1.713235+1 3.166178-6-1.762399+1 9.516317-6-1.896700+1 1.141264-5-1.946329+1 1.531886-5-1.827174+1 1.720696-5-1.676552+1 1.816821-5-1.515875+1 1.860650-5-1.376632+1 1.878376-5-1.266054+1 1.903031-5-1.044268+1 1.911022-5-1.039155+1 1.915363-5-1.072841+1 1.924610-5-1.214444+1 1.935897-5-1.399738+1 1.949678-5-1.496609+1 1.966989-5-1.492710+1 1.987468-5-1.306725+1 2.037781-5-7.719002+0 2.052754-5-5.786713+0 2.062117-5-4.356223+0 2.066488-5-3.611372+0 2.072719-5-2.443246+0 2.077710-5-1.403134+0 2.082701-5-2.467693-1 2.087692-5 1.046866+0 2.092275-5 2.385999+0 2.096885-5 3.915686+0 2.101332-5 5.611133+0 2.104986-5 7.218466+0 2.109782-5 9.739742+0 2.113636-5 1.231299+1 2.115949-5 1.439503+1 2.127932-5 2.543518+1 2.137994-5 3.549077+1 2.144214-5 3.985437+1 2.148829-5 4.060396+1 2.152875-5 3.900819+1 2.156797-5 3.537586+1 2.162130-5 2.657922+1 2.168047-5 1.359854+1 2.168618-5 1.203704+1 2.173840-5-5.058241-1 2.174003-5-9.937698-1 2.174319-5-1.814935+0 2.174912-5-3.223956+0 2.175950-5-5.509465+0 2.178965-5-1.196548+1 2.179825-5-1.397636+1 2.182499-5-1.861731+1 2.186604-5-2.403187+1 2.187882-5-2.543432+1 2.194318-5-2.010160+1 2.197704-5-1.856718+1 2.200484-5-1.828893+1 2.206391-5-1.903736+1 2.214910-5-2.308883+1 2.220061-5-2.651990+1 2.222792-5-2.446123+1 2.228405-5-2.315266+1 2.233517-5-2.362239+1 2.238540-5-2.551993+1 2.240558-5-2.694668+1 2.249203-5-2.257170+1 2.264447-5-1.457208+1 2.266946-5-1.288472+1 2.273544-5-9.553213+0 2.280954-5-6.145486+0 2.283104-5-4.965265+0 2.285035-5-4.118623+0 2.288423-5-2.883969+0 2.291030-5-2.084723+0 2.294793-5-1.124431+0 2.296704-5-7.296809-1 2.300069-5-2.104668-1 2.301158-5-4.885124-2 2.301693-5 2.835846-2 2.302920-5 1.999045-1 2.304190-5 3.693609-1 2.306527-5 7.087412-1 2.309666-5 1.119694+0 2.312551-5 1.455096+0 2.316732-5 1.980525+0 2.318822-5 2.298726+0 2.319867-5 2.498844+0 2.322528-5 3.195687+0 2.325354-5 3.570270+0 2.332037-5 4.092141+0 2.335908-5 4.496339+0 2.348646-5 5.185214+0 2.358866-5 6.009501+0 2.368069-5 6.184300+0 2.386485-5 6.642227+0 2.407140-5 6.542760+0 2.453069-5 5.699217+0 2.534956-5 3.545189+0 2.590856-5 2.068621+0 2.634775-5 1.022261+0 2.660343-5 4.661461-1 2.663144-5 4.010880-1 2.681111-5 3.728206-2 2.690627-5-1.637102-1 2.717250-5-6.774737-1 2.754955-5-1.346070+0 2.792233-5-1.961635+0 2.861113-5-2.962497+0 2.959744-5-4.157163+0 3.087276-5-5.405122+0 3.278088-5-6.833346+0 3.577462-5-8.445205+0 3.763999-5-9.300018+0 3.828327-5-9.232397+0 3.937823-5-9.716589+0 4.510896-5-1.094331+1 5.215280-5-1.175622+1 6.683439-5-1.229651+1 1.473392-4-1.180633+1 1.895309-4-1.220809+1 2.269418-4-1.333563+1 2.519127-4-1.491970+1 2.675136-4-1.677314+1 2.780862-4-1.906426+1 2.846268-4-2.168962+1 2.877588-4-2.387270+1 2.902950-4-2.283205+1 2.935342-4-2.034744+1 2.944273-4-2.062996+1 2.954428-4-2.257709+1 2.963654-4-2.578300+1 2.974913-4-3.152267+1 3.001703-4-2.021399+1 3.010344-4-1.740719+1 3.022153-4-1.487881+1 3.032212-4-1.376114+1 3.041608-4-1.348777+1 3.089230-4-1.444044+1 3.198935-4-1.289937+1 3.357165-4-1.085747+1 3.493879-4-9.782464+0 3.601408-4-9.457028+0 3.671295-4-9.647700+0 3.710746-4-9.236316+0 3.777020-4-8.337748+0 3.937726-4-7.034541+0 4.159218-4-5.707029+0 4.332858-4-4.881691+0 4.612180-4-3.884931+0 4.936708-4-3.025528+0 5.232991-4-2.433648+0 5.527134-4-1.978232+0 5.838664-4-1.609502+0 6.202662-4-1.277546+0 6.587946-4-1.007764+0 6.936775-4-8.211208-1 7.259316-4-6.962911-1 7.621955-4-5.892041-1 8.031062-4-4.989743-1 8.249385-4-4.600335-1 8.699168-4-4.014814-1 9.115342-4-3.682938-1 9.696820-4-3.466490-1 1.048019-3-3.409817-1 1.096478-3-3.478438-1 1.181382-3-3.769128-1 1.321105-3-4.482429-1 1.944241-3-8.587154-1 2.465828-3-1.246820+0 2.764511-3-1.528203+0 2.995858-3-1.823361+0 3.173074-3-2.145668+0 3.310483-3-2.527160+0 3.407947-3-2.963489+0 3.468488-3-3.413103+0 3.507315-3-3.914783+0 3.539618-3-4.649971+0 3.568618-3-5.340657+0 3.585111-3-5.435773+0 3.602700-3-5.194141+0 3.654646-3-3.803502+0 3.686986-3-3.253996+0 3.733094-3-2.764005+0 3.786554-3-2.365321+0 3.858926-3-1.972027+0 3.960237-3-1.571653+0 4.066810-3-1.254218+0 4.187295-3-9.804531-1 4.325041-3-7.408279-1 4.446749-3-5.749274-1 4.596607-3-4.100952-1 4.716657-3-3.023620-1 4.846858-3-2.039123-1 4.920265-3-1.549392-1 5.046607-3-8.175423-2 5.191128-3-9.997289-3 5.344501-3 5.474423-2 5.453554-3 9.352243-2 5.583099-3 1.355821-1 5.730208-3 1.775082-1 5.885065-3 2.142672-1 6.210478-3 2.719335-1 6.628628-3 3.195148-1 7.227784-3 3.607407-1 8.000285-3 3.780602-1 9.178271-3 3.722579-1 1.229383-2 3.037786-1 1.570494-2 2.304470-1 1.863645-2 1.825637-1 2.203219-2 1.411238-1 2.504448-2 1.133541-1 2.892533-2 8.649426-2 3.261322-2 6.734675-2 3.663223-2 5.131886-2 4.043089-2 3.960254-2 4.373305-2 3.128691-2 4.802304-2 2.252961-2 5.229022-2 1.555659-2 5.538574-2 1.128732-2 5.774709-2 8.417333-3 5.995888-2 5.979713-3 6.143136-2 4.487794-3 6.407145-2 2.021826-3 6.539655-2 8.791408-4 6.650902-2-2.196264-5 6.702703-2-4.385699-4 6.842856-2-1.515062-3 7.068983-2-3.148015-3 7.420276-2-5.414943-3 7.878091-2-8.023962-3 8.522334-2-1.107996-2 9.493598-2-1.468774-2 1.058309-1-1.771408-2 1.214437-1-2.083337-2 1.467843-1-2.408391-2 1.885343-1-2.701766-2 2.650872-1-2.939296-2 4.386211-1-3.107489-2 1.228714+0-3.193281-2 3.710658+0-3.204436-2 1.000000+1-3.205229-2 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.458583-1 1.059963-6 1.945767-1 1.093087-6 2.273692-1 1.127246-6 2.664089-1 1.162473-6 3.130636-1 1.197172-6 3.663730-1 1.230788-6 4.261117-1 1.263353-6 4.928015-1 1.294900-6 5.669858-1 1.325462-6 6.492374-1 1.355068-6 7.401603-1 1.383749-6 8.403908-1 1.411534-6 9.505994-1 1.438451-6 1.071492+0 1.464526-6 1.203813+0 1.489787-6 1.348344+0 1.514258-6 1.505908+0 1.537965-6 1.677371+0 1.560930-6 1.863641+0 1.583178-6 2.065675+0 1.604731-6 2.284475+0 1.625610-6 2.521093+0 1.645837-6 2.776633+0 1.665432-6 3.052252+0 1.684414-6 3.349160+0 1.702803-6 3.668627+0 1.720618-6 4.011979+0 1.737875-6 4.380602+0 1.754594-6 4.775948+0 1.770790-6 5.199528+0 1.786480-6 5.652923+0 1.801679-6 6.137778+0 1.830668-6 7.208802+0 1.857874-6 8.427296+0 1.870842-6 9.097454+0 1.883406-6 9.812619+0 1.895576-6 1.057531+1 1.918788-6 1.224316+1 1.940918-6 1.414545+1 1.961665-6 1.628245+1 1.981115-6 1.867798+1 1.999350-6 2.135612+1 2.016444-6 2.434266+1 2.032471-6 2.766400+1 2.048000-6 3.148095+1 2.061581-6 3.541849+1 2.074786-6 3.991231+1 2.087166-6 4.485919+1 2.098773-6 5.029083+1 2.109654-6 5.623984+1 2.119854-6 6.273955+1 2.129418-6 6.982376+1 2.138383-6 7.752652+1 2.146788-6 8.588200+1 2.154668-6 9.492433+1 2.162056-6 1.046875+2 2.168981-6 1.152054+2 2.175474-6 1.265118+2 2.181561-6 1.386406+2 2.187268-6 1.516262+2 2.192618-6 1.655034+2 2.197633-6 1.803084+2 2.202335-6 1.960792+2 2.206743-6 2.128575+2 2.210876-6 2.306892+2 2.214750-6 2.496253+2 2.218383-6 2.697213+2 2.221788-6 2.910352+2 2.224980-6 3.136237+2 2.230966-6 3.646113+2 2.236204-6 4.215145+2 2.240786-6 4.842080+2 2.244796-6 5.521050+2 2.248305-6 6.241940+2 2.251375-6 6.991629+2 2.254062-6 7.755606+2 2.256412-6 8.519494+2 2.258469-6 9.270223+2 2.262068-6 1.079421+3 2.266792-6 1.326793+3 2.278461-6 2.232418+3 2.282656-6 2.680752+3 2.287365-6 3.268797+3 2.291048-6 3.791102+3 2.295244-6 4.448617+3 2.299100-6 5.104141+3 2.300838-6 5.412720+3 2.305435-6 6.256478+3 2.306667-6 6.486735+3 2.310363-6 7.178557+3 2.312672-6 7.605586+3 2.315143-6 8.051458+3 2.317918-6 8.531085+3 2.320236-6 8.908492+3 2.323216-6 9.354104+3 2.326712-6 9.807363+3 2.329160-6 1.007232+4 2.332438-6 1.035102+4 2.335310-6 1.051757+4 2.338624-6 1.061436+4 2.339999-6 1.062378+4 2.344411-6 1.053220+4 2.345376-6 1.048780+4 2.350000-6 1.015987+4 2.351914-6 9.971795+3 2.354044-6 9.729894+3 2.356782-6 9.373286+3 2.359940-6 8.907335+3 2.362700-6 8.461112+3 2.365006-6 8.067059+3 2.367971-6 7.540294+3 2.371222-6 6.947749+3 2.372306-6 6.748940+3 2.376530-6 5.979081+3 2.378641-6 5.602127+3 2.382337-6 4.964809+3 2.385865-6 4.391231+3 2.389904-6 3.785649+3 2.392983-6 3.364258+3 2.397647-6 2.795961+3 2.403377-6 2.211993+3 2.413036-6 1.486417+3 2.416874-6 1.274577+3 2.420700-6 1.098684+3 2.424511-6 9.534155+2 2.428307-6 8.336918+2 2.432089-6 7.350103+2 2.435856-6 6.534845+2 2.439607-6 5.858359+2 2.443345-6 5.293526+2 2.447068-6 4.818285+2 2.450776-6 4.414937+2 2.454469-6 4.069429+2 2.458149-6 3.770692+2 2.465478-6 3.279842+2 2.472751-6 2.894286+2 2.479967-6 2.583225+2 2.487126-6 2.326941+2 2.494230-6 2.112288+2 2.501277-6 1.930123+2 2.508270-6 1.773844+2 2.515209-6 1.638535+2 2.522093-6 1.520443+2 2.528923-6 1.416644+2 2.535700-6 1.324818+2 2.542424-6 1.243103+2 2.555766-6 1.103741+2 2.568901-6 9.901317+1 2.581830-6 8.960381+1 2.594557-6 8.170965+1 2.607085-6 7.501337+1 2.619418-6 6.927743+1 2.631557-6 6.432145+1 2.643507-6 6.000692+1 2.655271-6 5.622501+1 2.666850-6 5.288735+1 2.689648-6 4.722760+1 2.711732-6 4.266053+1 2.733127-6 3.891517+1 2.753853-6 3.580229+1 2.773932-6 3.318236+1 2.793383-6 3.095333+1 2.812226-6 2.904068+1 2.830480-6 2.738609+1 2.865848-6 2.462081+1 2.899005-6 2.244594+1 2.930090-6 2.070559+1 2.959232-6 1.928839+1 2.986553-6 1.811779+1 3.012166-6 1.714072+1 3.060190-6 1.555066+1 3.102212-6 1.436645+1 3.138981-6 1.347001+1 3.203326-6 1.213063+1 3.251585-6 1.127956+1 3.323974-6 1.019790+1 3.429802-6 8.903608+0 3.563557-6 7.614817+0 3.737740-6 6.158544+0 3.781286-6 5.770755+0 3.813945-6 5.448912+0 3.838440-6 5.175584+0 3.856810-6 4.941531+0 3.870589-6 4.741832+0 3.891256-6 4.386516+0 3.901589-6 4.177356+0 3.912460-6 3.933575+0 3.922090-6 3.701628+0 3.943911-6 3.189657+0 3.948644-6 3.101012+0 3.952701-6 3.038205+0 3.965900-6 2.958112+0 3.970265-6 2.987640+0 3.975614-6 3.072051+0 3.979989-6 3.185354+0 3.981324-6 3.228455+0 3.985328-6 3.382996+0 3.989713-6 3.597515+0 3.993056-6 3.793894+0 4.000211-6 4.311427+0 4.006900-6 4.912699+0 4.019909-6 6.366207+0 4.024183-6 6.906907+0 4.029039-6 7.545129+0 4.033896-6 8.197300+0 4.038336-6 8.794855+0 4.039551-6 8.957346+0 4.045933-6 9.791359+0 4.049276-6 1.020883+1 4.057784-6 1.117942+1 4.061127-6 1.151537+1 4.067509-6 1.207157+1 4.072526-6 1.242281+1 4.077894-6 1.270951+1 4.082278-6 1.287402+1 4.085566-6 1.295662+1 4.090498-6 1.301685+1 4.095430-6 1.300457+1 4.101892-6 1.288866+1 4.106407-6 1.274852+1 4.111606-6 1.253610+1 4.116131-6 1.231436+1 4.121320-6 1.202698+1 4.125855-6 1.175427+1 4.140747-6 1.079383+1 4.158595-6 9.688672+0 4.168946-6 9.133273+0 4.178974-6 8.669359+0 4.188689-6 8.288222+0 4.207511-6 7.713857+0 4.225156-6 7.322141+0 4.241699-6 7.039474+0 4.272716-6 6.639342+0 4.299856-6 6.369856+0 4.347352-6 5.995996+0 4.489848-6 5.079207+0 4.511950-6 4.907439+0 4.538403-6 4.688750+0 4.560744-6 4.531755+0 4.571915-6 4.482451+0 4.583086-6 4.463939+0 4.594256-6 4.483272+0 4.602164-6 4.522164+0 4.608095-6 4.565245+0 4.616991-6 4.651131+0 4.625888-6 4.759466+0 4.661281-6 5.288252+0 4.672451-6 5.434912+0 4.677560-6 5.491553+0 4.685222-6 5.561636+0 4.692885-6 5.612226+0 4.699424-6 5.639370+0 4.705964-6 5.651890+0 4.717134-6 5.641585+0 4.728305-6 5.596715+0 4.739476-6 5.525272+0 4.759882-6 5.353722+0 4.800450-6 4.987696+0 4.826396-6 4.792609+0 4.838247-6 4.719695+0 4.850097-6 4.659089+0 4.861948-6 4.612475+0 4.873798-6 4.581241+0 4.882440-6 4.568546+0 4.895402-6 4.564967+0 4.908364-6 4.577597+0 4.956751-6 4.674746+0 4.976930-6 4.686332+0 4.992302-6 4.672560+0 5.016003-6 4.620712+0 5.064152-6 4.494503+0 5.100824-6 4.440506+0 5.161944-6 4.380887+0 5.415663-6 4.087849+0 5.548623-6 3.944419+0 5.809862-6 3.705794+0 7.406468-6 2.668322+0 7.829994-6 2.460868+0 8.329419-6 2.234147+0 8.712561-6 2.068833+0 8.890031-6 1.994726+0 9.350000-6 1.806280+0 9.700000-6 1.668779+0 1.025071-5 1.461446+0 1.088500-5 1.228367+0 1.143030-5 1.035613+0 1.178750-5 9.123288-1 1.228800-5 7.443519-1 1.253573-5 6.637122-1 1.292747-5 5.405231-1 1.333521-5 4.199267-1 1.374806-5 3.075505-1 1.396029-5 2.542989-1 1.416920-5 2.057375-1 1.440000-5 1.566348-1 1.457728-5 1.226212-1 1.477655-5 8.870066-2 1.500000-5 5.639788-2 1.518750-5 3.451641-2 1.536000-5 1.903798-2 1.544942-5 1.292010-2 1.554224-5 8.076169-3 1.563433-5 4.865283-3 1.572571-5 3.307357-3 1.581637-5 3.378401-3 1.590633-5 4.849506-3 1.599558-5 6.990190-3 1.610592-5 8.721418-3 1.611689-5 8.762296-3 1.612784-5 8.775113-3 1.623690-5 7.522732-3 1.628023-5 6.564881-3 1.636656-5 4.684373-3 1.645222-5 3.670675-3 1.653720-5 4.075261-3 1.662153-5 6.125013-3 1.670519-5 9.917088-3 1.678820-5 1.549468-2 1.695292-5 3.213943-2 1.711507-5 5.624936-2 1.728000-5 8.937554-2 1.743181-5 1.282383-1 1.758648-5 1.768843-1 1.773873-5 2.345114-1 1.788860-5 3.015292-1 1.803613-5 3.783543-1 1.818135-5 4.654120-1 1.832431-5 5.631463-1 1.846503-5 6.720977-1 1.860355-5 7.930784-1 1.873991-5 9.267990-1 1.900837-5 1.234177+0 1.926843-5 1.594219+0 1.952037-5 2.012268+0 1.976444-5 2.493437+0 2.000088-5 3.042955+0 2.022993-5 3.666611+0 2.048000-5 4.463915+0 2.089296-5 6.103071+0 2.199471-5 1.347471+1 2.247947-5 1.893377+1 2.277792-5 2.336217+1 2.305801-5 2.851606+1 2.332087-5 3.447951+1 2.364022-5 4.360936+1 2.379906-5 4.911612+1 2.402710-5 5.848412+1 2.411990-5 6.288207+1 2.432744-5 7.417080+1 2.450868-5 8.598880+1 2.468504-5 9.969756+1 2.485038-5 1.150208+2 2.500539-5 1.320901+2 2.515071-5 1.510407+2 2.528695-5 1.720103+2 2.541467-5 1.951389+2 2.553484-5 2.206682+2 2.564666-5 2.484448+2 2.575190-5 2.789156+2 2.585056-5 3.121304+2 2.594306-5 3.482394+2 2.602977-5 3.873930+2 2.611107-5 4.297419+2 2.618728-5 4.754385+2 2.625873-5 5.246380+2 2.632572-5 5.775008+2 2.638852-5 6.341949+2 2.644739-5 6.949013+2 2.650259-5 7.598195+2 2.655433-5 8.291759+2 2.660284-5 9.032285+2 2.664832-5 9.822677+2 2.669095-5 1.066609+3 2.673093-5 1.156575+3 2.676840-5 1.252470+3 2.683866-5 1.470722+3 2.690014-5 1.716389+3 2.695393-5 1.988281+3 2.700100-5 2.282833+3 2.704219-5 2.594564+3 2.707823-5 2.916889+3 2.711011-5 3.246845+3 2.716150-5 3.881576+3 2.724732-5 5.284581+3 2.735055-5 7.674233+3 2.735724-5 7.858809+3 2.749191-5 1.239073+4 2.755925-5 1.519916+4 2.756766-5 1.557114+4 2.762658-5 1.827304+4 2.764973-5 1.936841+4 2.770234-5 2.188181+4 2.773916-5 2.362390+4 2.777468-5 2.525660+4 2.780699-5 2.667580+4 2.783397-5 2.779685+4 2.786866-5 2.913161+4 2.790229-5 3.029063+4 2.793593-5 3.129762+4 2.796718-5 3.208328+4 2.798987-5 3.255787+4 2.802492-5 3.312514+4 2.806083-5 3.349334+4 2.809950-5 3.364810+4 2.812631-5 3.361108+4 2.818811-5 3.309921+4 2.822939-5 3.245299+4 2.824703-5 3.211004+4 2.830696-5 3.068307+4 2.834525-5 2.959055+4 2.838725-5 2.826308+4 2.843441-5 2.664826+4 2.845693-5 2.584253+4 2.849069-5 2.460332+4 2.852446-5 2.333884+4 2.856653-5 2.174599+4 2.861377-5 1.995863+4 2.866591-5 1.801791+4 2.871223-5 1.634641+4 2.877006-5 1.435689+4 2.882128-5 1.270749+4 2.883835-5 1.218412+4 2.890665-5 1.023424+4 2.898699-5 8.250101+3 2.911856-5 5.722773+3 2.919488-5 4.631635+3 2.926101-5 3.875451+3 2.929101-5 3.582965+3 2.934725-5 3.108462+3 2.939646-5 2.762181+3 2.943953-5 2.503941+3 2.947721-5 2.307356+3 2.954315-5 2.018340+3 2.959260-5 1.839263+3 2.966678-5 1.617669+3 2.975599-5 1.407434+3 2.982923-5 1.268364+3 2.990248-5 1.151690+3 2.997572-5 1.052305+3 3.004896-5 9.665355+2 3.012220-5 8.916908+2 3.019544-5 8.257549+2 3.032659-5 7.252591+2 3.041516-5 6.674751+2 3.057572-5 5.782509+2 3.076581-5 4.916969+2 3.101645-5 4.002815+2 3.116839-5 3.558237+2 3.128521-5 3.274119+2 3.138061-5 3.080172+2 3.143646-5 2.982193+2 3.149231-5 2.895205+2 3.157363-5 2.786857+2 3.165653-5 2.696406+2 3.177646-5 2.595015+2 3.187442-5 2.532045+2 3.202288-5 2.458798+2 3.238470-5 2.314945+2 3.260830-5 2.216091+2 3.332993-5 1.890600+2 3.365703-5 1.772558+2 3.409092-5 1.642637+2 3.457845-5 1.520423+2 3.503314-5 1.422993+2 3.537911-5 1.357595+2 3.605356-5 1.246620+2 3.669248-5 1.157856+2 3.730161-5 1.084684+2 3.787267-5 1.024192+2 3.845203-5 9.696869+1 3.937518-5 8.946177+1 4.073803-5 8.014917+1 4.265795-5 6.984535+1 4.450000-5 6.204835+1 4.680852-5 5.393543+1 4.786301-5 5.040921+1 4.838172-5 4.835413+1 4.886407-5 4.606831+1 4.910462-5 4.506242+1 4.922489-5 4.471568+1 4.934516-5 4.452999+1 4.946544-5 4.453874+1 4.957151-5 4.472111+1 4.974623-5 4.536010+1 5.018707-5 4.784944+1 5.030735-5 4.838212+1 5.040000-5 4.866465+1 5.048256-5 4.880800+1 5.058769-5 4.883696+1 5.066816-5 4.874723+1 5.078844-5 4.845472+1 5.102450-5 4.750629+1 5.126888-5 4.638171+1 5.144334-5 4.569425+1 5.168036-5 4.502909+1 5.193855-5 4.461362+1 5.279520-5 4.380041+1 5.371887-5 4.280296+1 5.529344-5 4.131275+1 5.702136-5 3.994718+1 5.924132-5 3.857284+1 6.215265-5 3.726685+1 6.531306-5 3.629089+1 6.900000-5 3.567827+1 7.273648-5 3.549167+1 7.585776-5 3.560992+1 7.900000-5 3.588441+1 8.222426-5 3.628428+1 8.659618-5 3.699573+1 9.900000-5 3.932651+1 1.113498-4 4.153908+1 1.255308-4 4.362364+1 1.360320-4 4.482821+1 1.471574-4 4.566533+1 1.598016-4 4.608787+1 1.724934-4 4.595733+1 1.863322-4 4.524317+1 2.001013-4 4.385706+1 2.111145-4 4.230265+1 2.232489-4 4.009285+1 2.353608-4 3.729772+1 2.446236-4 3.473747+1 2.508770-4 3.283035+1 2.590773-4 3.002207+1 2.641970-4 2.813176+1 2.695253-4 2.600777+1 2.757462-4 2.334604+1 2.809934-4 2.094309+1 2.853773-4 1.882883+1 2.888533-4 1.708411+1 2.922036-4 1.534665+1 2.954833-4 1.360340+1 2.980310-4 1.222902+1 2.995368-4 1.141121+1 3.021404-4 9.993252+0 3.045813-4 8.669841+0 3.068697-4 7.449351+0 3.090515-4 6.322195+0 3.100181-4 5.840151+0 3.111356-4 5.300500+0 3.129118-4 4.492224+0 3.138898-4 4.079587+0 3.163367-4 3.181827+0 3.174015-4 2.867031+0 3.178903-4 2.741227+0 3.193469-4 2.446966+0 3.202419-4 2.334932+0 3.207124-4 2.300227+0 3.213525-4 2.282801+0 3.219725-4 2.301917+0 3.225732-4 2.357759+0 3.228357-4 2.394570+0 3.231552-4 2.450136+0 3.237189-4 2.578212+0 3.242650-4 2.740239+0 3.247941-4 2.933343+0 3.253066-4 3.153407+0 3.267501-4 3.916931+0 3.272015-4 4.182354+0 3.276388-4 4.440744+0 3.280624-4 4.685054+0 3.286892-4 5.019857+0 3.292525-4 5.276051+0 3.299816-4 5.518632+0 3.305913-4 5.628001+0 3.313544-4 5.635852+0 3.318085-4 5.576360+0 3.324367-4 5.431573+0 3.334366-4 5.139414+0 3.339139-4 5.033150+0 3.343619-4 4.999832+0 3.345754-4 5.019240+0 3.350054-4 5.156910+0 3.353770-4 5.418022+0 3.357406-4 5.845670+0 3.360815-4 6.446273+0 3.364011-4 7.229821+0 3.367007-4 8.201807+0 3.369816-4 9.363370+0 3.372449-4 1.071157+1 3.374918-4 1.223979+1 3.377232-4 1.393822+1 3.379402-4 1.579440+1 3.381436-4 1.779378+1 3.391508-4 3.237782+1 3.396299-4 4.284671+1 3.399967-4 5.283733+1 3.404086-4 6.644346+1 3.407526-4 8.000906+1 3.411120-4 9.658572+1 3.413754-4 1.104492+2 3.415454-4 1.202187+2 3.418272-4 1.379208+2 3.421373-4 1.596983+2 3.424899-4 1.875727+2 3.427970-4 2.146733+2 3.430250-4 2.365636+2 3.435582-4 2.938014+2 3.437419-4 3.155145+2 3.445817-4 4.275445+2 3.450081-4 4.919526+2 3.455020-4 5.720435+2 3.457845-4 6.200610+2 3.460153-4 6.602223+2 3.461918-4 6.914146+2 3.464479-4 7.371685+2 3.467075-4 7.839209+2 3.470527-4 8.461489+2 3.473171-4 8.933859+2 3.477035-4 9.609905+2 3.480955-4 1.026724+3 3.482232-4 1.047308+3 3.486749-4 1.116094+3 3.489973-4 1.160623+3 3.494014-4 1.210048+3 3.497925-4 1.250297+3 3.501622-4 1.280810+3 3.505744-4 1.305665+3 3.509304-4 1.319072+3 3.511053-4 1.322896+3 3.514988-4 1.324875+3 3.518816-4 1.318181+3 3.522002-4 1.306395+3 3.528838-4 1.263595+3 3.533597-4 1.221392+3 3.538167-4 1.172951+3 3.541211-4 1.137130+3 3.544877-4 1.090978+3 3.549614-4 1.027667+3 3.552005-4 9.946111+2 3.557386-4 9.188366+2 3.562630-4 8.447469+2 3.566080-4 7.967125+2 3.572511-4 7.103089+2 3.580817-4 6.075864+2 3.596615-4 4.485749+2 3.603014-4 3.987849+2 3.608000-4 3.656214+2 3.612617-4 3.390368+2 3.619650-4 3.054988+2 3.624032-4 2.884093+2 3.628818-4 2.726716+2 3.634116-4 2.583754+2 3.637143-4 2.514959+2 3.643813-4 2.391459+2 3.645671-4 2.363035+2 3.651328-4 2.289904+2 3.662130-4 2.194126+2 3.671890-4 2.141218+2 3.679688-4 2.113310+2 3.687839-4 2.092771+2 3.706944-4 2.063277+2 3.731444-4 2.041571+2 3.757851-4 2.026302+2 3.806189-4 2.010508+2 3.863748-4 2.002521+2 4.022493-4 1.999847+2 4.102397-4 1.993495+2 4.146420-4 1.981536+2 4.207603-4 1.954389+2 4.231746-4 1.951297+2 4.251182-4 1.960722+2 4.266599-4 1.978769+2 4.284041-4 2.011168+2 4.303823-4 2.060424+2 4.342600-4 2.167741+2 4.358272-4 2.205043+2 4.372543-4 2.233480+2 4.392564-4 2.264724+2 4.412695-4 2.288114+2 4.468041-4 2.331758+2 4.520444-4 2.362239+2 4.593332-4 2.397185+2 4.688459-4 2.436780+2 4.849103-4 2.486953+2 5.165051-4 2.556817+2 5.449197-4 2.600410+2 5.759199-4 2.632375+2 6.160966-4 2.656781+2 6.703397-4 2.664870+2 7.161434-4 2.653822+2 7.870741-4 2.618428+2 8.677966-4 2.572264+2 9.613702-4 2.509704+2 1.116582-3 2.401995+2 1.312706-3 2.263472+2 1.501561-3 2.139519+2 1.731779-3 2.002820+2 1.957385-3 1.880354+2 2.114895-3 1.799132+2 2.293817-3 1.712008+2 2.478988-3 1.624310+2 2.683799-3 1.531870+2 2.893711-3 1.439487+2 3.004341-3 1.391377+2 3.114987-3 1.342661+2 3.201424-3 1.304377+2 3.279299-3 1.269099+2 3.363730-3 1.229418+2 3.488798-3 1.167828+2 3.551839-3 1.134636+2 3.608621-3 1.102619+2 3.681132-3 1.057803+2 3.717204-3 1.033295+2 3.750269-3 1.009043+2 3.797541-3 9.701739+1 3.821923-3 9.473361+1 3.845892-3 9.221001+1 3.867490-3 8.960041+1 3.886356-3 8.695821+1 3.901929-3 8.444946+1 3.916978-3 8.170686+1 3.934937-3 7.806894+1 3.965540-3 7.179461+1 3.978263-3 6.972412+1 3.987394-3 6.864872+1 3.997960-3 6.795326+1 4.006438-3 6.787597+1 4.010343-3 6.799086+1 4.016201-3 6.834082+1 4.022058-3 6.889794+1 4.028632-3 6.975467+1 4.037747-3 7.130174+1 4.052455-3 7.446931+1 4.079505-3 8.121273+1 4.089143-3 8.355946+1 4.105580-3 8.722164+1 4.122936-3 9.051472+1 4.135640-3 9.255430+1 4.146915-3 9.413280+1 4.158396-3 9.554913+1 4.177191-3 9.753352+1 4.209436-3 1.002450+2 4.233123-3 1.018524+2 4.258472-3 1.033147+2 4.287327-3 1.047252+2 4.347723-3 1.070238+2 4.414892-3 1.088354+2 4.487071-3 1.101562+2 4.603890-3 1.114247+2 4.720274-3 1.119502+2 4.877375-3 1.118062+2 5.066374-3 1.108288+2 5.308844-3 1.088013+2 5.574000-3 1.060611+2 5.967346-3 1.015356+2 6.487978-3 9.546591+1 7.000163-3 8.968866+1 7.874931-3 8.076176+1 8.768884-3 7.296118+1 9.752061-3 6.563704+1 1.093049-2 5.822027+1 1.209423-2 5.201649+1 1.348963-2 4.569721+1 1.490602-2 4.026729+1 1.605554-2 3.646601+1 1.770344-2 3.178899+1 1.974591-2 2.707188+1 2.230337-2 2.247969+1 2.608223-2 1.758070+1 3.650078-2 1.024510+1 4.330147-2 7.745177+0 5.326711-2 5.473954+0 6.162613-2 4.260155+0 7.297026-2 3.162043+0 8.821789-2 2.242156+0 1.089557-1 1.520441+0 1.381188-1 9.729388-1 1.861564-1 5.504033-1 2.484019-1 3.149971-1 3.458138-1 1.647758-1 5.434808-1 6.736571-2 1.120601+0 1.593201-2 3.384160+0 1.749604-3 1.022000+1 1.918729-4 3.086391+1 2.103884-5 9.320751+1 2.306868-6 2.814822+2 2.529431-7 8.500626+2 2.773466-8 3.162278+3 2.004124-9 1.000000+4 2.00412-10 3.162278+4 2.00412-11 1.000000+5 2.00412-12 1 20000 7 7 4.008000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.582400-6 1.258900-6 2.507900-6 1.584900-6 3.974700-6 1.995300-6 6.299400-6 2.511900-6 9.983900-6 3.162300-6 1.582300-5 3.981100-6 2.507800-5 5.011900-6 3.974600-5 6.309600-6 6.299300-5 7.943300-6 9.983600-5 1.000000-5 1.582300-4 1.258900-5 2.507700-4 1.584900-5 3.972600-4 1.995300-5 6.292300-4 2.511900-5 9.967600-4 3.162300-5 1.579200-3 3.981100-5 2.502100-3 5.011900-5 3.964100-3 6.309600-5 6.279700-3 7.943300-5 9.937000-3 1.000000-4 1.571700-2 1.258900-4 2.482000-2 1.584900-4 3.911800-2 1.995300-4 6.144900-2 2.511900-4 9.607900-2 3.162300-4 1.491700-1 3.981100-4 2.289300-1 5.011900-4 3.457200-1 6.309600-4 5.095100-1 7.943300-4 7.266400-1 1.000000-3 9.954400-1 1.258900-3 1.306900+0 1.584900-3 1.656900+0 1.995300-3 2.061800+0 2.511900-3 2.549500+0 3.162300-3 3.131300+0 3.981100-3 3.800000+0 5.011900-3 4.546400+0 6.309600-3 5.331000+0 7.943300-3 6.105200+0 1.000000-2 6.841500+0 1.258900-2 7.550300+0 1.584900-2 8.203400+0 1.995300-2 8.799300+0 2.511900-2 9.339800+0 3.162300-2 9.689100+0 3.981100-2 9.892900+0 5.011900-2 9.962800+0 6.309600-2 9.903300+0 7.943300-2 9.714000+0 1.000000-1 9.406500+0 1.258900-1 9.002100+0 1.584900-1 8.525600+0 1.995300-1 7.999000+0 2.511900-1 7.442700+0 3.162300-1 6.874200+0 3.981100-1 6.307800+0 5.011900-1 5.753200+0 6.309600-1 5.217800+0 7.943300-1 4.705000+0 1.000000+0 4.217900+0 1.258900+0 3.758600+0 1.584900+0 3.328700+0 1.995300+0 2.929600+0 2.511900+0 2.562300+0 3.162300+0 2.227400+0 3.981100+0 1.925000+0 5.011900+0 1.654500+0 6.309600+0 1.414600+0 7.943300+0 1.203700+0 1.000000+1 1.019700+0 1.258900+1 8.604200-1 1.584900+1 7.233500-1 1.995300+1 6.061100-1 2.511900+1 5.063500-1 3.162300+1 4.218800-1 3.981100+1 3.506300-1 5.011900+1 2.907800-1 6.309600+1 2.406600-1 7.943300+1 1.988100-1 1.000000+2 1.639700-1 1.258900+2 1.350400-1 1.584900+2 1.110500-1 1.995300+2 9.120900-2 2.511900+2 7.482500-2 3.162300+2 6.131800-2 3.981100+2 5.019800-2 5.011900+2 4.105700-2 6.309600+2 3.355000-2 7.943300+2 2.739400-2 1.000000+3 2.235000-2 1.258900+3 1.822200-2 1.584900+3 1.484600-2 1.995300+3 1.208800-2 2.511900+3 9.836100-3 3.162300+3 7.999100-3 3.981100+3 6.501600-3 5.011900+3 5.281700-3 6.309600+3 4.288600-3 7.943300+3 3.480500-3 1.000000+4 2.823400-3 1.258900+4 2.289400-3 1.584900+4 1.855600-3 1.995300+4 1.503400-3 2.511900+4 1.217500-3 3.162300+4 9.856800-4 3.981100+4 7.976900-4 5.011900+4 6.453400-4 6.309600+4 5.219000-4 7.943300+4 4.219400-4 1.000000+5 3.410200-4 1 20000 7 7 4.008000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994175-4 2.511886-4 2.510167-4 3.162278-4 3.159553-4 3.981072-4 3.976782-4 5.011872-4 5.005116-4 6.309573-4 6.298946-4 7.943282-4 7.926674-4 1.000000-3 9.974161-4 1.258925-3 1.254920-3 1.584893-3 1.578694-3 1.995262-3 1.985594-3 2.511886-3 2.496749-3 3.162278-3 3.138487-3 3.981072-3 3.943661-3 5.011872-3 4.953458-3 6.309573-3 6.218580-3 7.943282-3 7.802265-3 1.000000-2 9.782075-3 1.258925-2 1.225232-2 1.584893-2 1.532702-2 1.995262-2 1.914716-2 2.511886-2 2.388629-2 3.162278-2 2.974377-2 3.981072-2 3.695788-2 5.011872-2 4.580952-2 6.309573-2 5.662453-2 7.943282-2 6.978195-2 1.000000-1 8.573429-2 1.258925-1 1.049881-1 1.584893-1 1.281090-1 1.995262-1 1.557901-1 2.511886-1 1.887897-1 3.162278-1 2.279993-1 3.981072-1 2.744337-1 5.011872-1 3.292798-1 6.309573-1 3.938692-1 7.943282-1 4.698924-1 1.000000+0 5.593628-1 1.258925+0 6.647354-1 1.584893+0 7.890896-1 1.995262+0 9.361830-1 2.511886+0 1.110722+0 3.162278+0 1.318416+0 3.981072+0 1.566320+0 5.011872+0 1.863095+0 6.309573+0 2.219239+0 7.943282+0 2.647725+0 1.000000+1 3.164296+0 1.258925+1 3.788296+0 1.584893+1 4.543404+0 1.995262+1 5.458603+0 2.511886+1 6.569323+0 3.162278+1 7.919269+0 3.981072+1 9.561705+0 5.011872+1 1.156244+1 6.309573+1 1.400206+1 7.943282+1 1.697969+1 1.000000+2 2.061705+1 1.258925+2 2.506430+1 1.584893+2 3.050595+1 1.995262+2 3.716915+1 2.511886+2 4.533417+1 3.162278+2 5.534665+1 3.981072+2 6.763128+1 5.011872+2 8.271410+1 6.309573+2 1.012433+2 7.943282+2 1.240190+2 1.000000+3 1.520276+2 1.258925+3 1.864927+2 1.584893+3 2.289220+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 20000 7 9 4.008000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88202-10 1.995262-5 1.090640-9 2.511886-5 1.728519-9 3.162278-5 2.739543-9 3.981072-5 4.341919-9 5.011872-5 6.881151-9 6.309573-5 1.090515-8 7.943282-5 1.727728-8 1.000000-4 2.737428-8 1.258925-4 4.336235-8 1.584893-4 6.866474-8 1.995262-4 1.086958-7 2.511886-4 1.719755-7 3.162278-4 2.724891-7 3.981072-4 4.289651-7 5.011872-4 6.756743-7 6.309573-4 1.062737-6 7.943282-4 1.660849-6 1.000000-3 2.583899-6 1.258925-3 4.004929-6 1.584893-3 6.199515-6 1.995262-3 9.668607-6 2.511886-3 1.513768-5 3.162278-3 2.379062-5 3.981072-3 3.741118-5 5.011872-3 5.841386-5 6.309573-3 9.099383-5 7.943282-3 1.410169-4 1.000000-2 2.179253-4 1.258925-2 3.369363-4 1.584893-2 5.219128-4 1.995262-2 8.054677-4 2.511886-2 1.232572-3 3.162278-2 1.879004-3 3.981072-2 2.852834-3 5.011872-2 4.309207-3 6.309573-2 6.471202-3 7.943282-2 9.650876-3 1.000000-1 1.426571-2 1.258925-1 2.090443-2 1.584893-1 3.038029-2 1.995262-1 4.373612-2 2.511886-1 6.239897-2 3.162278-1 8.822850-2 3.981072-1 1.236734-1 5.011872-1 1.719074-1 6.309573-1 2.370882-1 7.943282-1 3.244358-1 1.000000+0 4.406372-1 1.258925+0 5.941900-1 1.584893+0 7.958036-1 1.995262+0 1.059079+0 2.511886+0 1.401165+0 3.162278+0 1.843862+0 3.981072+0 2.414752+0 5.011872+0 3.148777+0 6.309573+0 4.090334+0 7.943282+0 5.295558+0 1.000000+1 6.835704+0 1.258925+1 8.800958+0 1.584893+1 1.130553+1 1.995262+1 1.449402+1 2.511886+1 1.854954+1 3.162278+1 2.370351+1 3.981072+1 3.024901+1 5.011872+1 3.855628+1 6.309573+1 4.909368+1 7.943282+1 6.245314+1 1.000000+2 7.938295+1 1.258925+2 1.008282+2 1.584893+2 1.279834+2 1.995262+2 1.623571+2 2.511886+2 2.058545+2 3.162278+2 2.608811+2 3.981072+2 3.304759+2 5.011872+2 4.184731+2 6.309573+2 5.297140+2 7.943282+2 6.703092+2 1.000000+3 8.479724+2 1.258925+3 1.072433+3 1.584893+3 1.355971+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.450000-6 5.558480+5 5.495409-6 5.171685+5 5.580000-6 4.498600+5 5.688529-6 3.745367+5 5.770000-6 3.253240+5 5.850000-6 2.824280+5 5.920000-6 2.486960+5 6.000000-6 2.143400+5 6.070000-6 1.874678+5 6.150000-6 1.600548+5 6.230000-6 1.359066+5 6.290000-6 1.197160+5 6.350000-6 1.050298+5 6.400000-6 9.385060+4 6.460000-6 8.161660+4 6.520000-6 7.059980+4 6.580000-6 6.069440+4 6.620000-6 5.467100+4 6.670000-6 4.775120+4 6.715000-6 4.206860+4 6.760830-6 3.678124+4 6.810000-6 3.163380+4 6.850000-6 2.782400+4 6.890000-6 2.433420+4 6.930000-6 2.114960+4 6.970000-6 1.825332+4 7.000000-6 1.626128+4 7.035000-6 1.412348+4 7.060000-6 1.271472+4 7.085000-6 1.140036+4 7.115000-6 9.944180+3 7.140000-6 8.827280+3 7.170000-6 7.599400+3 7.192000-6 6.773560+3 7.215000-6 5.976100+3 7.240000-6 5.182600+3 7.260000-6 4.601540+3 7.280000-6 4.066640+3 7.300000-6 3.576480+3 7.320000-6 3.130200+3 7.340000-6 2.726260+3 7.365000-6 2.279520+3 7.390000-6 1.895108+3 7.440000-6 1.304840+3 7.455000-6 1.172260+3 7.470000-6 1.059488+3 7.480000-6 9.950900+2 7.490000-6 9.391740+2 7.500000-6 8.916220+2 7.510000-6 8.523080+2 7.518000-6 8.267340+2 7.527000-6 8.040920+2 7.535000-6 7.893640+2 7.542000-6 7.805940+2 7.550000-6 7.752280+2 7.557000-6 7.745620+2 7.565000-6 7.783560+2 7.574000-6 7.883620+2 7.581000-6 8.003460+2 7.588000-6 8.158840+2 7.596000-6 8.379960+2 7.605000-6 8.683600+2 7.615000-6 9.088240+2 7.627000-6 9.665880+2 7.642000-6 1.052658+3 7.660000-6 1.175934+3 7.685000-6 1.382038+3 7.730000-6 1.851342+3 7.760000-6 2.230880+3 7.780000-6 2.512300+3 7.800000-6 2.815420+3 7.820000-6 3.139700+3 7.840000-6 3.484500+3 7.865000-6 3.943600+3 7.890000-6 4.432420+3 7.920000-6 5.056820+3 7.950000-6 5.720900+3 7.980000-6 6.422420+3 8.010000-6 7.159880+3 8.035261-6 7.807254+3 8.070000-6 8.735120+3 8.100000-6 9.569900+3 8.140000-6 1.072806+4 8.180000-6 1.193480+4 8.222426-6 1.326416+4 8.270000-6 1.481038+4 8.317638-6 1.641307+4 8.365000-6 1.805558+4 8.420000-6 2.001820+4 8.480000-6 2.222100+4 8.520000-6 2.372040+4 8.570000-6 2.562720+4 8.620000-6 2.756440+4 8.680000-6 2.992680+4 8.740000-6 3.232160+4 8.810489-6 3.517087+4 8.880000-6 3.801180+4 8.960000-6 4.130900+4 9.050000-6 4.504120+4 9.150000-6 4.920140+4 9.240000-6 5.294520+4 9.350000-6 5.750520+4 9.460000-6 6.203320+4 9.600000-6 6.772840+4 9.700000-6 7.173820+4 9.850000-6 7.764460+4 1.000000-5 8.340480+4 1.015000-5 8.900400+4 1.035142-5 9.625102+4 1.055000-5 1.030758+5 1.077000-5 1.102542+5 1.100000-5 1.173244+5 1.127000-5 1.250590+5 1.150000-5 1.311746+5 1.180000-5 1.385180+5 1.215000-5 1.462206+5 1.250000-5 1.530528+5 1.290000-5 1.598844+5 1.333521-5 1.662517+5 1.383600-5 1.723635+5 1.440000-5 1.778920+5 1.500000-5 1.824200+5 1.570000-5 1.862314+5 1.650000-5 1.890120+5 1.737801-5 1.905403+5 1.840772-5 1.908092+5 1.950000-5 1.897700+5 2.089296-5 1.870688+5 2.238721-5 1.831042+5 2.426610-5 1.772225+5 2.630268-5 1.702370+5 2.851018-5 1.624352+5 3.126079-5 1.527729+5 3.360000-5 1.447479+5 3.360000-5 3.683948+6 3.400000-5 3.497633+6 3.401000-5 3.492705+6 3.401000-5 5.258521+6 3.427678-5 5.069152+6 3.440000-5 4.984493+6 3.469000-5 4.786146+6 3.507519-5 4.526801+6 3.550000-5 4.254849+6 3.580000-5 4.069308+6 3.650000-5 3.666962+6 3.672823-5 3.543926+6 3.715352-5 3.325039+6 3.801894-5 2.927840+6 3.960000-5 2.339055+6 4.030000-5 2.129512+6 4.073803-5 2.011579+6 4.150000-5 1.830783+6 4.168694-5 1.790210+6 4.220000-5 1.688108+6 4.229500-5 1.670338+6 4.300000-5 1.550113+6 4.370000-5 1.448798+6 4.420000-5 1.386593+6 4.450000-5 1.352713+6 4.466836-5 1.334823+6 4.479900-5 1.321132+6 4.518559-5 1.284108+6 4.540000-5 1.264936+6 4.590000-5 1.224963+6 4.610000-5 1.210109+6 4.650000-5 1.183815+6 4.680000-5 1.165541+6 4.720000-5 1.144129+6 4.740000-5 1.134248+6 4.786301-5 1.114530+6 4.820000-5 1.101417+6 4.850000-5 1.091749+6 4.900000-5 1.077215+6 4.920000-5 1.072463+6 4.970000-5 1.062042+6 5.000000-5 1.057116+6 5.040000-5 1.051601+6 5.080000-5 1.047771+6 5.128614-5 1.044145+6 5.150000-5 1.043429+6 5.230000-5 1.042318+6 5.248075-5 1.042749+6 5.316000-5 1.045764+6 5.316000-5 1.472740+6 5.350000-5 1.475128+6 5.370318-5 1.477234+6 5.432503-5 1.484783+6 5.500000-5 1.492883+6 5.623413-5 1.512795+6 5.650000-5 1.516815+6 5.688529-5 1.523098+6 5.888437-5 1.559813+6 6.025596-5 1.586034+6 6.095369-5 1.598926+6 6.531306-5 1.679979+6 6.839116-5 1.729392+6 6.900000-5 1.738179+6 6.918310-5 1.740662+6 7.000000-5 1.751701+6 7.161434-5 1.772493+6 7.244360-5 1.781604+6 7.413102-5 1.798505+6 7.500000-5 1.806601+6 7.585776-5 1.812884+6 7.852356-5 1.829907+6 7.900000-5 1.831641+6 8.222426-5 1.840709+6 8.317638-5 1.840749+6 8.609938-5 1.838915+6 8.800000-5 1.832998+6 9.015711-5 1.825129+6 9.332543-5 1.807030+6 9.440609-5 1.800490+6 9.900000-5 1.765122+6 1.023293-4 1.733774+6 1.047129-4 1.712304+6 1.060000-4 1.698995+6 1.109175-4 1.649084+6 1.161449-4 1.593393+6 1.174898-4 1.579500+6 1.244515-4 1.504665+6 1.288250-4 1.457396+6 1.318257-4 1.426241+6 1.380384-4 1.360644+6 1.400000-4 1.341150+6 1.412538-4 1.327933+6 1.496236-4 1.244519+6 1.500000-4 1.240909+6 1.548817-4 1.193706+6 1.603245-4 1.144159+6 1.659587-4 1.093769+6 1.698244-4 1.061388+6 1.720000-4 1.043714+6 1.737801-4 1.029158+6 1.862087-4 9.349921+5 1.883649-4 9.196746+5 1.905461-4 9.043558+5 2.018366-4 8.309647+5 2.041738-4 8.165612+5 2.065380-4 8.021828+5 2.162719-4 7.471191+5 2.187762-4 7.338508+5 2.213095-4 7.204305+5 2.344229-4 6.560223+5 2.371374-4 6.438431+5 2.400000-4 6.310500+5 2.600160-4 5.504028+5 2.630268-4 5.394539+5 2.722701-4 5.075496+5 2.851018-4 4.676927+5 2.900000-4 4.534593+5 3.126079-4 3.951421+5 3.162278-4 3.867058+5 3.311311-4 3.542270+5 3.427678-4 3.316702+5 3.467369-4 3.243422+5 3.552000-4 3.093717+5 3.552000-4 1.756200+6 3.557000-4 1.797068+6 3.563000-4 1.837487+6 3.568000-4 1.865104+6 3.577000-4 1.904518+6 3.585000-4 1.930917+6 3.590400-4 1.944643+6 3.590400-4 2.653783+6 3.594000-4 2.678014+6 3.596000-4 2.690079+6 3.600000-4 2.710899+6 3.601000-4 2.716144+6 3.605000-4 2.734451+6 3.608000-4 2.745862+6 3.616000-4 2.771350+6 3.620000-4 2.781906+6 3.628000-4 2.797431+6 3.635000-4 2.807392+6 3.639000-4 2.810910+6 3.650000-4 2.816568+6 3.665000-4 2.811946+6 3.673000-4 2.807020+6 3.680000-4 2.800334+6 3.700000-4 2.775759+6 3.780800-4 2.665688+6 3.801894-4 2.636478+6 3.890451-4 2.518754+6 3.900000-4 2.506523+6 3.950000-4 2.441878+6 4.050000-4 2.326298+6 4.168694-4 2.188288+6 4.200000-4 2.153033+6 4.216965-4 2.134071+6 4.315191-4 2.028676+6 4.341100-4 2.002117+6 4.341100-4 2.257081+6 4.365158-4 2.231384+6 4.430000-4 2.165221+6 4.677351-4 1.939952+6 4.700000-4 1.920574+6 4.731513-4 1.893311+6 4.786301-4 1.847200+6 4.897788-4 1.758339+6 5.150000-4 1.579323+6 5.188000-4 1.554173+6 5.248075-4 1.515195+6 5.308844-4 1.477081+6 5.559043-4 1.333921+6 5.821032-4 1.201330+6 5.888437-4 1.170336+6 5.956621-4 1.140148+6 6.025596-4 1.110724+6 6.100000-4 1.079256+6 6.309573-4 9.966672+5 6.606934-4 8.944083+5 6.700000-4 8.653443+5 6.760830-4 8.468766+5 6.839116-4 8.239124+5 7.161434-4 7.382528+5 7.413102-4 6.797063+5 7.585776-4 6.424817+5 7.673615-4 6.246640+5 7.762471-4 6.073377+5 8.035261-4 5.579600+5 8.200000-4 5.308766+5 8.222426-4 5.273169+5 8.413951-4 4.979896+5 8.709636-4 4.570942+5 8.810489-4 4.442323+5 9.120108-4 4.076730+5 9.332543-4 3.850325+5 9.440609-4 3.740750+5 9.549926-4 3.633735+5 9.700000-4 3.493670+5 9.885531-4 3.329851+5 1.059254-3 2.796115+5 1.071519-3 2.715436+5 1.083927-3 2.636818+5 1.096478-3 2.560136+5 1.109175-3 2.485741+5 1.135011-3 2.343427+5 1.202264-3 2.023018+5 1.216186-3 1.963993+5 1.230269-3 1.906071+5 1.258925-3 1.795395+5 1.303167-3 1.641497+5 1.350000-3 1.498180+5 1.364583-3 1.457150+5 1.380384-3 1.414220+5 1.396368-3 1.372232+5 1.400000-3 1.362933+5 1.428894-3 1.291734+5 1.531087-3 1.077952+5 1.548817-3 1.046035+5 1.566751-3 1.014863+5 1.570000-3 1.009354+5 1.584893-3 9.844329+4 1.594930-3 9.680588+4 1.603245-3 9.547726+4 1.778279-3 7.256735+4 1.798871-3 7.038202+4 1.800000-3 7.026488+4 1.819701-3 6.824917+4 1.840772-3 6.617218+4 2.018366-3 5.172262+4 2.041738-3 5.014863+4 2.065380-3 4.862272+4 2.089296-3 4.713467+4 2.113489-3 4.568870+4 2.137962-3 4.428838+4 2.290868-3 3.676043+4 2.317395-3 3.563999+4 2.371374-3 3.348440+4 2.400000-3 3.240812+4 2.454709-3 3.047596+4 2.483133-3 2.953523+4 2.600160-3 2.605863+4 2.630268-3 2.525711+4 2.660725-3 2.448047+4 2.754229-3 2.227709+4 2.786121-3 2.158498+4 2.851018-3 2.026276+4 2.884032-3 1.963319+4 2.951209-3 1.843262+4 3.000000-3 1.762375+4 3.054921-3 1.677086+4 3.198895-3 1.477551+4 3.235937-3 1.431360+4 3.273407-3 1.386542+4 3.349654-3 1.301184+4 3.388442-3 1.260510+4 3.427678-3 1.221134+4 3.507519-3 1.146098+4 3.715352-3 9.771961+3 3.758374-3 9.464673+3 3.801894-3 9.166621+3 3.890451-3 8.599125+3 3.935501-3 8.328696+3 4.015000-3 7.879341+3 4.015000-3 6.867392+4 4.043000-3 6.764798+4 4.168694-3 6.330489+4 4.270000-3 5.969982+4 4.315191-3 5.813723+4 4.365158-3 5.647456+4 4.415704-3 5.485924+4 4.518559-3 5.176656+4 4.570882-3 5.028650+4 4.623810-3 4.884871+4 4.677351-3 4.745071+4 5.011872-3 3.960064+4 5.069907-3 3.842479+4 5.188000-3 3.617672+4 5.248075-3 3.510267+4 5.308844-3 3.406063+4 5.800000-3 2.701396+4 5.821032-3 2.675905+4 6.095369-3 2.371850+4 6.165950-3 2.301335+4 6.309573-3 2.166535+4 6.683439-3 1.854704+4 7.000000-3 1.636871+4 7.079458-3 1.587702+4 7.161434-3 1.539073+4 7.244360-3 1.491937+4 7.762471-3 1.237973+4 7.943282-3 1.163313+4 8.128305-3 1.091638+4 8.222426-3 1.057440+4 8.317638-3 1.024314+4 8.511380-3 9.611501+3 9.015711-3 8.197740+3 9.120108-3 7.940991+3 9.549926-3 6.991990+3 9.772372-3 6.554490+3 1.000000-2 6.144412+3 1.059254-2 5.228044+3 1.083927-2 4.900991+3 1.096478-2 4.745221+3 1.122018-2 4.444725+3 1.148154-2 4.162984+3 1.174898-2 3.899136+3 1.258925-2 3.203820+3 1.288250-2 3.000787+3 1.303167-2 2.904152+3 1.318257-2 2.809341+3 1.333521-2 2.717541+3 1.348963-2 2.628736+3 1.380384-2 2.459756+3 1.500000-2 1.935348+3 1.548817-2 1.764544+3 1.566751-2 1.706901+3 1.603245-2 1.595702+3 1.640590-2 1.491752+3 1.798871-2 1.139428+3 1.840772-2 1.065214+3 1.862087-2 1.029942+3 1.883649-2 9.958056+2 1.905461-2 9.627994+2 1.949845-2 8.992822+2 2.162719-2 6.614912+2 2.213095-2 6.178584+2 2.238721-2 5.971148+2 2.264644-2 5.770679+2 2.317395-2 5.389714+2 2.371374-2 5.029928+2 2.660725-2 3.560967+2 2.722701-2 3.323099+2 2.754229-2 3.210192+2 2.786121-2 3.101127+2 2.851018-2 2.893968+2 2.917427-2 2.698652+2 2.985383-2 2.516520+2 3.235937-2 1.970608+2 3.273407-2 1.902901+2 3.388442-2 1.713427+2 3.427678-2 1.654554+2 3.507519-2 1.542806+2 3.548134-2 1.489797+2 3.935501-2 1.084123+2 3.981072-2 1.046473+2 4.000000-2 1.031344+2 4.027170-2 1.010130+2 4.168694-2 9.085032+1 4.415704-2 7.613289+1 4.466836-2 7.348892+1 4.500000-2 7.183885+1 4.897788-2 5.525616+1 4.954502-2 5.331844+1 5.128614-2 4.790368+1 5.888437-2 3.121279+1 6.237348-2 2.607189+1 6.309573-2 2.514951+1 6.531306-2 2.257363+1 6.760830-2 2.026146+1 7.079458-2 1.754280+1 7.244360-2 1.632353+1 7.673615-2 1.363349+1 8.317638-2 1.059553+1 8.413951-2 1.022055+1 8.609938-2 9.507279+0 8.810489-2 8.843797+0 9.015711-2 8.226637+0 9.440609-2 7.118471+0 9.660509-2 6.621714+0 1.059254-1 4.958030+0 1.135011-1 3.990885+0 1.161449-1 3.712420+0 1.244515-1 2.988296+0 1.258925-1 2.882169+0 1.333521-1 2.405444+0 1.364583-1 2.237621+0 1.445440-1 1.867525+0 1.462177-1 1.801205+0 1.479108-1 1.737241+0 1.548817-1 1.503449+0 1.566751-1 1.450635+0 1.584893-1 1.399676+0 1.659587-1 1.213125+0 1.678804-1 1.170511+0 1.757924-1 1.014508+0 1.798871-1 9.444892-1 1.883649-1 8.186160-1 1.905461-1 7.898618-1 1.927525-1 7.624030-1 1.949845-1 7.359010-1 1.972423-1 7.103211-1 2.018366-1 6.617995-1 2.137962-1 5.545048-1 2.162719-1 5.352308-1 2.213095-1 4.986705-1 2.264644-1 4.646089-1 2.290868-1 4.484787-1 2.317395-1 4.331262-1 2.344229-1 4.183017-1 2.426610-1 3.768042-1 2.454709-1 3.639078-1 2.511886-1 3.394250-1 2.630268-1 2.952898-1 2.660725-1 2.851970-1 2.691535-1 2.756084-1 2.722701-1 2.663442-1 2.754229-1 2.573914-1 2.786121-1 2.487400-1 2.985383-1 2.026070-1 3.019952-1 1.957972-1 3.054921-1 1.892257-1 3.090295-1 1.829831-1 3.126079-1 1.769475-1 3.273407-1 1.547318-1 3.349654-1 1.446932-1 3.388442-1 1.399208-1 3.427678-1 1.353060-1 3.467369-1 1.309364-1 3.507519-1 1.267089-1 3.589219-1 1.186592-1 3.672823-1 1.111210-1 3.715352-1 1.075335-1 3.758374-1 1.040618-1 3.845918-1 9.745110-2 3.890451-1 9.437844-2 3.935501-1 9.140331-2 4.000000-1 8.736170-2 4.120975-1 8.041226-2 4.168694-1 7.787755-2 4.265795-1 7.304545-2 4.315191-1 7.080008-2 4.365158-1 6.862435-2 4.518559-1 6.249025-2 4.623810-1 5.870858-2 4.731513-1 5.515593-2 4.786301-1 5.350455-2 4.841724-1 5.190303-2 4.954502-1 4.884247-2 5.011872-1 4.738056-2 5.069907-1 4.596243-2 5.128614-1 4.458678-2 5.188000-1 4.325231-2 5.248075-1 4.198905-2 5.308844-1 4.076579-2 5.432503-1 3.842516-2 5.559043-1 3.621898-2 5.688529-1 3.413954-2 5.754399-1 3.317131-2 5.821032-1 3.223300-2 5.888437-1 3.132124-2 5.956621-1 3.043532-2 6.025596-1 2.957445-2 6.095369-1 2.873794-2 6.237348-1 2.713526-2 6.309573-1 2.639021-2 6.382635-1 2.566773-2 6.531306-1 2.428160-2 6.683439-1 2.297034-2 6.839117-1 2.172990-2 6.918310-1 2.115331-2 6.998420-1 2.059386-2 7.079458-1 2.004922-2 7.161434-1 1.951899-2 7.328245-1 1.850023-2 7.498942-1 1.756402-2 7.585776-1 1.711505-2 7.673615-1 1.667771-2 7.852356-1 1.583630-2 8.035261-1 1.503734-2 8.222427-1 1.430141-2 8.317638-1 1.394797-2 8.413951-1 1.360341-2 8.609938-1 1.293960-2 8.810489-1 1.230818-2 8.912509-1 1.200414-2 9.015711-1 1.171492-2 9.120108-1 1.143277-2 9.225714-1 1.115743-2 9.332543-1 1.088949-2 9.660509-1 1.012370-2 9.772372-1 9.889986-3 9.885531-1 9.661777-3 1.000000+0 9.438843-3 1.022000+0 9.032634-3 1.047129+0 8.599828-3 1.059254+0 8.402008-3 1.071519+0 8.208750-3 1.083927+0 8.024288-3 1.096478+0 7.843983-3 1.130300+0 7.387403-3 1.135011+0 7.327022-3 1.148154+0 7.163000-3 1.161449+0 7.002657-3 1.216186+0 6.416552-3 1.230269+0 6.277858-3 1.250000+0 6.091114-3 1.258925+0 6.009417-3 1.273503+0 5.879958-3 1.288250+0 5.753291-3 1.333521+0 5.401603-3 1.348963+0 5.289214-3 1.364583+0 5.179173-3 1.396368+0 4.965911-3 1.412538+0 4.862939-3 1.428894+0 4.762114-3 1.479108+0 4.482056-3 1.500000+0 4.373086-3 1.548817+0 4.134101-3 1.584893+0 3.970958-3 1.640590+0 3.746324-3 1.678804+0 3.603675-3 1.698244+0 3.534402-3 1.717908+0 3.466464-3 1.757924+0 3.334937-3 1.778279+0 3.273356-3 1.840772+0 3.095345-3 1.883649+0 2.982084-3 1.905461+0 2.927018-3 1.927525+0 2.872972-3 1.972423+0 2.768233-3 1.995262+0 2.719159-3 2.044000+0 2.619093-3 2.113489+0 2.486529-3 2.137962+0 2.442450-3 2.187762+0 2.356624-3 2.238721+0 2.274081-3 2.264644+0 2.235218-3 2.317395+0 2.159472-3 2.398833+0 2.050640-3 2.426610+0 2.015597-3 2.483133+0 1.947300-3 2.540973+0 1.881524-3 2.570396+0 1.850521-3 2.630268+0 1.790039-3 2.754229+0 1.674940-3 2.786121+0 1.647342-3 2.851018+0 1.593505-3 2.917427+0 1.541593-3 2.951209+0 1.517114-3 3.019952+0 1.469315-3 3.198895+0 1.356305-3 3.235937+0 1.334769-3 3.311311+0 1.292719-3 3.388442+0 1.252122-3 3.427678+0 1.232953-3 3.507519+0 1.195493-3 3.715352+0 1.106745-3 3.758374+0 1.089804-3 3.845918+0 1.056695-3 3.935501+0 1.024692-3 4.000000+0 1.003387-3 4.073803+0 9.799547-4 4.365158+0 8.962556-4 4.415704+0 8.830188-4 4.518559+0 8.571290-4 4.623810+0 8.320719-4 4.731513+0 8.084638-4 4.841724+0 7.855258-4 5.248075+0 7.102480-4 5.308844+0 7.001004-4 5.432503+0 6.802383-4 5.559043+0 6.609920-4 5.688529+0 6.428136-4 5.821032+0 6.251350-4 6.382635+0 5.591507-4 6.456542+0 5.514087-4 6.606934+0 5.362450-4 6.760830+0 5.215382-4 6.918310+0 5.076391-4 7.079458+0 4.941106-4 7.852356+0 4.375573-4 7.943282+0 4.316877-4 8.222427+0 4.145475-4 8.511380+0 3.981262-4 8.709636+0 3.878053-4 9.015711+0 3.728236-4 9.885531+0 3.356415-4 1.000000+1 3.312626-4 1.035142+1 3.184660-4 1.071519+1 3.061941-4 1.100000+1 2.974123-4 1.135011+1 2.872530-4 1.273503+1 2.528139-4 1.288250+1 2.496057-4 1.318257+1 2.433112-4 1.400000+1 2.276043-4 1.445440+1 2.196991-4 1.479108+1 2.142915-4 1.500000+1 2.110629-4 1.659587+1 1.891852-4 1.698244+1 1.845287-4 1.819701+1 1.712358-4 1.972423+1 1.569329-4 2.000000+1 1.545969-4 2.162719+1 1.423114-4 2.238721+1 1.372021-4 2.691535+1 1.128948-4 2.754229+1 1.101763-4 2.800000+1 1.082961-4 3.090295+1 9.769498-5 3.890451+1 7.681422-5 3.935501+1 7.591021-5 3.981072+1 7.501685-5 4.841724+1 6.134371-5 6.760830+1 4.352080-5 6.839116+1 4.301501-5 8.709636+1 3.365255-5 1.333521+2 2.183721-5 1.348963+2 2.158358-5 1.737801+2 1.671945-5 2.660725+2 1.088197-5 2.691535+2 1.075644-5 6.918310+2 4.173597-6 1.059254+3 2.722629-6 1.071519+3 2.691384-6 2.113489+3 1.364211-6 2.137962+3 1.348590-6 1.000000+5 2.879962-8 1 20000 7 0 4.008000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.450000-6 5.450000-6 3.360000-5 5.450000-6 3.360000-5 3.249394-5 3.401000-5 3.244391-5 3.401000-5 3.296981-5 3.715352-5 3.260778-5 4.479900-5 3.134827-5 4.740000-5 3.111511-5 5.000000-5 3.108230-5 5.316000-5 3.123467-5 5.316000-5 3.759125-5 5.688529-5 3.770887-5 7.500000-5 3.753010-5 1.161449-4 3.716576-5 1.659587-4 3.710084-5 2.630268-4 3.730627-5 3.552000-4 3.760311-5 3.552000-4 6.529394-5 3.577000-4 6.583102-5 3.590400-4 6.598135-5 3.590400-4 6.747047-5 3.639000-4 6.778917-5 4.216965-4 6.788065-5 4.341100-4 6.787204-5 4.341100-4 7.271447-5 7.413102-4 7.539631-5 1.096478-3 7.787972-5 1.570000-3 8.049719-5 2.137962-3 8.297476-5 2.851018-3 8.539147-5 3.758374-3 8.770734-5 4.015000-3 8.826524-5 4.015000-3 1.322937-4 5.308844-3 1.329698-4 9.772372-3 1.338358-4 2.371374-2 1.344298-4 1.258925-1 1.347616-4 1.000000+5 1.348143-4 1 20000 7 7 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.450000-6 0.0 3.552000-4 0.0 3.552000-4 6.389458-8 3.568000-4 6.480511-8 3.590400-4 6.547572-8 3.590400-4 6.858862-8 3.620000-4 6.912390-8 3.673000-4 6.942543-8 4.341100-4 6.941640-8 4.341100-4 7.591210-8 5.308844-4 7.702344-8 8.035261-4 7.961068-8 1.135011-3 8.214870-8 1.584893-3 8.494146-8 2.137962-3 8.769891-8 2.786121-3 9.026765-8 3.507519-3 9.253238-8 4.015000-3 9.383160-8 4.015000-3 5.239634-4 4.365158-3 5.264577-4 6.309573-3 5.314423-4 1.000000-2 5.350728-4 1.949845-2 5.375418-4 7.244360-2 5.386833-4 1.000000+5 5.387123-4 1 20000 7 9 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.450000-6 0.0 3.360000-5 2.815000-5 3.360000-5 1.106056-6 3.401000-5 1.566086-6 3.401000-5 1.040193-6 3.469000-5 1.782596-6 3.550000-5 2.678632-6 3.672823-5 4.060534-6 3.801894-5 5.538491-6 4.030000-5 8.204010-6 4.370000-5 1.219499-5 4.540000-5 1.412316-5 4.740000-5 1.628489-5 4.920000-5 1.812820-5 5.150000-5 2.036345-5 5.316000-5 2.192533-5 5.316000-5 1.556875-5 5.650000-5 1.879515-5 6.095369-5 2.324761-5 1.109175-4 7.372782-5 2.400000-4 2.027575-4 3.552000-4 3.175969-4 3.552000-4 2.898421-4 3.590400-4 2.929931-4 3.590400-4 2.915009-4 3.950000-4 3.270495-4 4.341100-4 3.661685-4 4.341100-4 3.613196-4 1.603245-3 1.522503-3 4.015000-3 3.926641-3 4.015000-3 3.358743-3 1.603245-2 1.536118-2 1.000000+5 1.000000+5 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 4.015000-3 6.079458+4 4.168694-3 5.620881+4 4.270000-3 5.306280+4 4.677351-3 4.230506+4 6.309573-3 1.945336+4 7.943282-3 1.048687+4 9.549926-3 6.317846+3 1.096478-2 4.293989+3 1.303167-2 2.631779+3 1.566751-2 1.548605+3 1.905461-2 8.743565+2 2.317395-2 4.898114+2 2.851018-2 2.631476+2 3.548134-2 1.355218+2 4.500000-2 6.536860+1 5.888437-2 2.840719+1 8.413951-2 9.302720+0 1.548817-1 1.368364+0 1.905461-1 7.188833-1 2.290868-1 4.081704-1 2.660725-1 2.595540-1 3.054921-1 1.722066-1 3.427678-1 1.231379-1 3.845918-1 8.868646-2 4.265795-1 6.647568-2 4.731513-1 5.019518-2 5.188000-1 3.936106-2 5.688529-1 3.106829-2 6.237348-1 2.469416-2 6.839117-1 1.977520-2 7.328245-1 1.683593-2 8.035261-1 1.368525-2 8.912509-1 1.092530-2 9.660509-1 9.213725-3 1.071519+0 7.470944-3 1.161449+0 6.373363-3 1.288250+0 5.236305-3 1.428894+0 4.334179-3 1.584893+0 3.614121-3 1.757924+0 3.035246-3 1.972423+0 2.519476-3 2.238721+0 2.069745-3 2.540973+0 1.712456-3 2.917427+0 1.403069-3 3.388442+0 1.139613-3 3.935501+0 9.326200-4 4.623810+0 7.573121-4 5.559043+0 6.016047-4 6.760830+0 4.746802-4 8.511380+0 3.623538-4 1.071519+1 2.786824-4 1.445440+1 1.999617-4 2.000000+1 1.407100-4 2.754229+1 1.002811-4 3.890451+1 6.991507-5 6.760830+1 3.961204-5 1.348963+2 1.964505-5 2.691535+2 9.790368-6 1.071519+3 2.449639-6 1.000000+5 2.621300-8 1 20000 7 0 4.008000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 4.015000-3 1.380000-4 1.000000+5 1.380000-4 1 20000 7 7 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.015000-3 5.918600-4 1.000000+5 5.918600-4 1 20000 7 9 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.015000-3 3.285140-3 1.000000+5 1.000000+5 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 4.341100-4 2.549634+5 4.700000-4 2.344152+5 5.248075-4 2.028716+5 6.100000-4 1.650780+5 7.161434-4 1.299403+5 7.762471-4 1.144098+5 8.810489-4 9.267305+4 9.700000-4 7.854540+4 1.083927-3 6.434185+4 1.216186-3 5.200837+4 1.364583-3 4.172112+4 1.548817-3 3.252060+4 1.778279-3 2.456479+4 2.018366-3 1.885660+4 2.317395-3 1.402451+4 2.660725-3 1.034788+4 3.054921-3 7.577891+3 3.507519-3 5.509888+3 4.043000-3 3.941807+3 4.623810-3 2.853891+3 5.308844-3 2.033302+3 6.095369-3 1.439177+3 7.000000-3 1.011456+3 8.128305-3 6.862451+2 9.549926-3 4.480720+2 1.122018-2 2.903052+2 1.318257-2 1.867070+2 1.566751-2 1.154597+2 1.862087-2 7.084983+1 2.213095-2 4.315670+1 2.660725-2 2.523969+1 3.235937-2 1.415994+1 3.935501-2 7.883545+0 4.897788-2 4.063623+0 6.237348-2 1.937322+0 8.317638-2 7.949993-1 1.479108-1 1.321353-1 1.905461-1 6.041899-2 2.264644-1 3.560643-2 2.630268-1 2.267486-2 3.019952-1 1.505901-2 3.427678-1 1.042116-2 3.845918-1 7.512234-3 4.265795-1 5.634678-3 4.731513-1 4.257103-3 5.248075-1 3.241291-3 5.754399-1 2.561407-3 6.309573-1 2.038281-3 6.918310-1 1.634142-3 7.498942-1 1.356664-3 8.222427-1 1.104765-3 9.225714-1 8.617328-4 1.000000+0 7.288523-4 1.135011+0 5.658934-4 1.258925+0 4.641434-4 1.396368+0 3.835562-4 1.548817+0 3.193094-4 1.717908+0 2.677538-4 1.927525+0 2.219029-4 2.187762+0 1.820352-4 2.483133+0 1.504270-4 2.851018+0 1.230991-4 3.311311+0 9.986300-5 3.845918+0 8.163164-5 4.518559+0 6.621583-5 5.432503+0 5.255267-5 6.606934+0 4.142901-5 8.222427+0 3.202400-5 1.035142+1 2.460101-5 1.400000+1 1.758200-5 1.972423+1 1.212653-5 2.754229+1 8.514868-6 3.890451+1 5.936540-6 6.760830+1 3.363445-6 1.333521+2 1.687579-6 2.660725+2 8.409546-7 1.059254+3 2.104097-7 1.000000+5 2.225800-9 1 20000 7 0 4.008000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 4.341100-4 1.107400-4 1.000000+5 1.107400-4 1 20000 7 7 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 4.341100-4 1.269200-7 1.000000+5 1.269200-7 1 20000 7 9 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 4.341100-4 3.232431-4 1.000000+5 1.000000+5 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 3.590400-4 7.091400+5 3.596000-4 7.326300+5 3.601000-4 7.496800+5 3.608000-4 7.691400+5 3.616000-4 7.865600+5 3.628000-4 8.062200+5 3.639000-4 8.186300+5 3.650000-4 8.270600+5 3.665000-4 8.335900+5 3.680000-4 8.354200+5 3.700000-4 8.321500+5 3.780800-4 8.047200+5 3.900000-4 7.584200+5 4.200000-4 6.479000+5 4.430000-4 5.760700+5 4.700000-4 5.073200+5 5.188000-4 4.055800+5 5.559043-4 3.446400+5 6.025596-4 2.831400+5 6.606934-4 2.241400+5 7.413102-4 1.662600+5 8.200000-4 1.269400+5 9.440609-4 8.638800+4 1.071519-3 6.059900+4 1.216186-3 4.224500+4 1.400000-3 2.804600+4 1.584893-3 1.941600+4 1.819701-3 1.279500+4 2.089296-3 8.365000+3 2.400000-3 5.421400+3 2.786121-3 3.373800+3 3.235937-3 2.080400+3 3.758374-3 1.273300+3 4.365158-3 7.735400+2 5.069907-3 4.664600+2 5.821032-3 2.905200+2 6.683439-3 1.798500+2 7.762471-3 1.062800+2 9.120108-3 5.988600+1 1.083927-2 3.214900+1 1.288250-2 1.713500+1 1.548817-2 8.692200+0 1.883649-2 4.193100+0 2.317395-2 1.922700+0 2.917427-2 8.023000-1 4.000000-2 2.398680-1 7.079458-2 2.682511-2 8.810489-2 1.165925-2 1.059254-1 5.819746-3 1.244515-1 3.190120-3 1.445440-1 1.838075-3 1.659587-1 1.112736-3 1.883649-1 7.072340-4 2.137962-1 4.527148-4 2.426610-1 2.920244-4 2.754229-1 1.898624-4 3.054921-1 1.344029-4 3.388442-1 9.582178-5 3.758374-1 6.886020-5 4.168694-1 4.987133-5 4.623810-1 3.640809-5 5.069907-1 2.771488-5 5.559043-1 2.123816-5 6.095369-1 1.638489-5 6.683439-1 1.272560-5 7.328245-1 9.959180-6 8.222427-1 7.390999-6 8.810489-1 6.220579-6 9.332543-1 5.421304-6 9.885531-1 4.756411-6 1.059254+0 4.102270-6 1.135011+0 3.563396-6 1.216186+0 3.120490-6 1.333521+0 2.636827-6 1.479108+0 2.200538-6 1.698244+0 1.738448-6 1.905461+0 1.438649-6 2.137962+0 1.199957-6 2.426610+0 9.902582-7 2.786121+0 8.093891-7 3.235937+0 6.558600-7 3.758374+0 5.355333-7 4.415704+0 4.339324-7 5.308844+0 3.440581-7 6.456542+0 2.709920-7 7.943282+0 2.121304-7 1.000000+1 1.627700-7 1.318257+1 1.195596-7 1.819701+1 8.413119-8 2.691535+1 5.549572-8 3.935501+1 3.732702-8 6.839116+1 2.115166-8 1.348963+2 1.061409-8 2.691535+2 5.289493-9 1.071519+3 1.323454-9 1.000000+5 1.41630-11 1 20000 7 0 4.008000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 3.590400-4 7.155400-5 1.000000+5 7.155400-5 1 20000 7 7 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.590400-4 7.712500-8 1.000000+5 7.712500-8 1 20000 7 9 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.590400-4 2.874089-4 1.000000+5 1.000000+5 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 3.552000-4 1.446828+6 3.557000-4 1.488548+6 3.563000-4 1.529984+6 3.568000-4 1.558444+6 3.577000-4 1.599368+6 3.585000-4 1.627100+6 3.594000-4 1.651528+6 3.605000-4 1.673188+6 3.620000-4 1.690768+6 3.635000-4 1.697640+6 3.650000-4 1.696244+6 3.673000-4 1.682796+6 3.950000-4 1.453095+6 4.050000-4 1.388060+6 4.168694-4 1.305232+6 4.365158-4 1.178386+6 4.677351-4 1.014727+6 5.150000-4 8.147840+5 5.559043-4 6.796139+5 6.025596-4 5.573407+5 6.700000-4 4.249400+5 7.413102-4 3.262927+5 8.222426-4 2.469073+5 9.332543-4 1.744701+5 1.059254-3 1.222706+5 1.202264-3 8.514520+4 1.380384-3 5.690821+4 1.570000-3 3.881480+4 1.800000-3 2.565552+4 2.065380-3 1.678629+4 2.371374-3 1.088205+4 2.754229-3 6.751099+3 3.198895-3 4.156011+3 3.715352-3 2.539142+3 4.315191-3 1.539760+3 5.011872-3 9.265520+2 5.800000-3 5.603440+2 6.683439-3 3.416167+2 7.762471-3 2.012268+2 9.015711-3 1.177460+2 1.059254-2 6.566547+1 1.258925-2 3.486448+1 1.500000-2 1.820668+1 1.798871-2 9.212357+0 2.162719-2 4.584438+0 2.660725-2 2.074528+0 3.427678-2 7.800742-1 4.415704-2 2.912661-1 7.244360-2 4.222514-2 9.440609-2 1.513126-2 1.135011-1 7.462047-3 1.333521-1 4.048181-3 1.548817-1 2.309327-3 1.757924-1 1.445915-3 1.972423-1 9.509797-4 2.213095-1 6.299932-4 2.454709-1 4.379341-4 2.722701-1 3.066652-4 2.985383-1 2.249209-4 3.273407-1 1.660784-4 3.589219-1 1.235083-4 3.935501-1 9.254429-5 4.265795-1 7.236610-5 4.623810-1 5.695621-5 5.011872-1 4.513842-5 5.432503-1 3.602553-5 5.888437-1 2.896272-5 6.309573-1 2.418164-5 6.839117-1 1.972592-5 7.498942-1 1.574944-5 8.222427-1 1.265743-5 8.912509-1 1.052402-5 9.772372-1 8.589719-6 1.047129+0 7.436049-6 1.135011+0 6.319988-6 1.230269+0 5.415500-6 1.348963+0 4.570946-6 1.500000+0 3.788900-6 1.678804+0 3.123821-6 1.883649+0 2.584039-6 2.113489+0 2.154353-6 2.398833+0 1.776818-6 2.754229+0 1.451218-6 3.198895+0 1.175131-6 3.715352+0 9.589919-7 4.365158+0 7.766286-7 5.248075+0 6.154751-7 6.382635+0 4.845496-7 7.852356+0 3.791412-7 9.885531+0 2.908242-7 1.288250+1 2.162812-7 1.698244+1 1.598852-7 2.238721+1 1.189305-7 3.090295+1 8.465181-8 4.841724+1 5.314838-8 8.709636+1 2.915797-8 1.737801+2 1.449135-8 6.918310+2 3.617096-9 1.000000+5 2.49760-11 1 20000 7 0 4.008000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 3.552000-4 7.121500-5 1.000000+5 7.121500-5 1 20000 7 7 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.552000-4 7.755700-8 1.000000+5 7.755700-8 1 20000 7 9 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.552000-4 2.839074-4 1.000000+5 1.000000+5 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 5.316000-5 4.269760+5 5.623413-5 4.347802+5 6.025596-5 4.405084+5 6.531306-5 4.437542+5 7.000000-5 4.437200+5 7.413102-5 4.410895+5 7.852356-5 4.355331+5 8.317638-5 4.267254+5 8.800000-5 4.148660+5 9.332543-5 3.994887+5 9.900000-5 3.817280+5 1.060000-4 3.594740+5 1.161449-4 3.288703+5 1.288250-4 2.950166+5 1.412538-4 2.660815+5 1.548817-4 2.381911+5 1.698244-4 2.116005+5 1.905461-4 1.810187+5 2.162719-4 1.513655+5 2.400000-4 1.298368+5 2.722701-4 1.069589+5 3.162278-4 8.434079+4 3.600000-4 6.817840+4 4.216965-4 5.217120+4 4.897788-4 4.020574+4 5.821032-4 2.951630+4 6.839116-4 2.194760+4 8.035261-4 1.620839+4 9.549926-4 1.162851+4 1.135011-3 8.279545+3 1.350000-3 5.839660+3 1.594930-3 4.141900+3 1.840772-3 3.061321+3 2.137962-3 2.216074+3 2.483133-3 1.591909+3 2.884032-3 1.134854+3 3.349654-3 8.027654+2 3.890451-3 5.636468+2 4.570882-3 3.821665+2 5.308844-3 2.645105+2 6.165950-3 1.818078+2 7.244360-3 1.204616+2 8.511380-3 7.918911+1 1.000000-2 5.165693+1 1.174898-2 3.343676+1 1.380384-2 2.148757+1 1.640590-2 1.327836+1 1.949845-2 8.143239+0 2.317395-2 4.955428+0 2.786121-2 2.894664+0 3.388442-2 1.622217+0 4.168694-2 8.717534-1 5.128614-2 4.650452-1 6.531306-2 2.214838-1 9.015711-2 8.163981-2 1.548817-1 1.513063-2 1.927525-1 7.703686-3 2.317395-1 4.388786-3 2.691535-1 2.798103-3 3.090295-1 1.860557-3 3.467369-1 1.332773-3 3.890451-1 9.615358-4 4.315191-1 7.217330-4 4.786301-1 5.456956-4 5.248075-1 4.284772-4 5.754399-1 3.387012-4 6.309573-1 2.696428-4 6.918310-1 2.162475-4 7.585776-1 1.747065-4 8.317638-1 1.421702-4 9.015711-1 1.194433-4 9.772372-1 1.009932-4 1.130300+0 7.551700-5 1.258925+0 6.140588-5 1.396368+0 5.072885-5 1.548817+0 4.222584-5 1.717908+0 3.540825-5 1.927525+0 2.934556-5 2.187762+0 2.407198-5 2.483133+0 1.989149-5 2.851018+0 1.627772-5 3.311311+0 1.320559-5 3.845918+0 1.079518-5 4.518559+0 8.756563-6 5.432503+0 6.949579-6 6.606934+0 5.478540-6 8.222427+0 4.234937-6 1.035142+1 3.253299-6 1.400000+1 2.325100-6 1.972423+1 1.603608-6 2.754229+1 1.125976-6 3.981072+1 7.665808-7 6.839116+1 4.395855-7 1.348963+2 2.205931-7 2.691535+2 1.099299-7 2.137962+3 1.377588-8 1.000000+5 2.94340-10 1 20000 7 0 4.008000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 5.316000-5 5.316000-5 1.000000+5 5.316000-5 1 20000 7 9 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.316000-5 0.0 1.000000+5 1.000000+5 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 3.401000-5 1.765816+6 3.440000-5 1.677488+6 3.507519-5 1.524026+6 3.580000-5 1.368638+6 3.672823-5 1.188291+6 3.801894-5 9.749349+5 4.030000-5 6.959960+5 4.150000-5 5.910100+5 4.220000-5 5.407100+5 4.300000-5 4.918180+5 4.370000-5 4.557180+5 4.450000-5 4.211580+5 4.518559-5 3.965520+5 4.590000-5 3.752120+5 4.650000-5 3.602860+5 4.720000-5 3.459100+5 4.786301-5 3.349519+5 4.850000-5 3.265540+5 4.920000-5 3.194260+5 5.000000-5 3.136080+5 5.080000-5 3.098960+5 5.150000-5 3.081100+5 5.248075-5 3.075146+5 5.370318-5 3.092710+5 5.500000-5 3.134120+5 5.650000-5 3.202700+5 5.888437-5 3.339563+5 6.531306-5 3.752092+5 6.900000-5 3.967140+5 7.244360-5 4.137192+5 7.585776-5 4.271291+5 7.900000-5 4.363700+5 8.222426-5 4.429352+5 8.609938-5 4.473079+5 9.015711-5 4.482948+5 9.440609-5 4.460439+5 9.900000-5 4.406980+5 1.047129-4 4.311637+5 1.109175-4 4.184209+5 1.174898-4 4.033197+5 1.244515-4 3.862587+5 1.318257-4 3.676229+5 1.400000-4 3.468820+5 1.496236-4 3.228764+5 1.603245-4 2.973793+5 1.737801-4 2.679642+5 1.883649-4 2.395858+5 2.041738-4 2.126830+5 2.213095-4 1.873806+5 2.400000-4 1.637318+5 2.630268-4 1.395008+5 2.900000-4 1.167252+5 3.162278-4 9.898053+4 3.467369-4 8.247739+4 3.890451-4 6.508313+4 4.315191-4 5.218173+4 4.786301-4 4.152185+4 5.308844-4 3.283306+4 5.888437-4 2.579812+4 6.606934-4 1.959497+4 7.413102-4 1.478230+4 8.413951-4 1.076007+4 9.549926-4 7.771335+3 1.083927-3 5.569550+3 1.230269-3 3.960655+3 1.396368-3 2.793948+3 1.566751-3 2.020167+3 1.778279-3 1.403202+3 2.018366-3 9.670048+2 2.290868-3 6.610656+2 2.600160-3 4.485908+2 2.951209-3 3.022898+2 3.388442-3 1.950591+2 3.890451-3 1.249496+2 4.518559-3 7.654692+1 5.248075-3 4.652762+1 6.095369-3 2.806051+1 7.079458-3 1.679293+1 8.222426-3 9.971807+0 9.549926-3 5.879029+0 1.122018-2 3.303195+0 1.333521-2 1.767430+0 1.603245-2 9.000004-1 1.949845-2 4.359306-1 2.371374-2 2.093942-1 2.985383-2 8.763551-2 4.027170-2 2.799193-2 6.760830-2 3.854211-3 8.609938-2 1.537483-3 1.059254-1 7.044811-4 1.258925-1 3.702531-4 1.462177-1 2.134754-4 1.678804-1 1.292765-4 1.905461-1 8.216540-5 2.162719-1 5.259232-5 2.426610-1 3.529658-5 2.722701-1 2.385955-5 3.019952-1 1.688498-5 3.349654-1 1.203231-5 3.715352-1 8.635580-6 4.120975-1 6.244090-6 4.518559-1 4.711266-6 4.954502-1 3.578357-6 5.432503-1 2.737372-6 5.956621-1 2.108873-6 6.531306-1 1.636138-6 7.161434-1 1.278544-6 7.852356-1 1.006468-6 8.609938-1 7.945920-7 9.120108-1 6.892252-7 9.660509-1 6.017322-7 1.022000+0 5.309300-7 1.096478+0 4.577736-7 1.161449+0 4.081333-7 1.250000+0 3.553900-7 1.364583+0 3.035575-7 1.640590+0 2.212288-7 1.840772+0 1.826608-7 2.044000+0 1.544800-7 2.317395+0 1.273592-7 2.630268+0 1.055741-7 3.019952+0 8.667295-8 3.507519+0 7.052426-8 4.073803+0 5.780979-8 4.841724+0 4.633690-8 5.821032+0 3.687776-8 7.079458+0 2.914686-8 9.015711+0 2.199189-8 1.135011+1 1.694582-8 1.500000+1 1.245600-8 2.000000+1 9.126200-9 2.754229+1 6.503895-9 3.890451+1 4.534439-9 6.760830+1 2.569089-9 1.348963+2 1.274120-9 2.691535+2 6.34953-10 1.071519+3 1.58867-10 1.000000+5 1.70010-12 1 20000 7 0 4.008000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 3.401000-5 3.401000-5 1.000000+5 3.401000-5 1 20000 7 9 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.401000-5 0.0 1.000000+5 1.000000+5 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 3.360000-5 3.539200+6 3.400000-5 3.354160+6 3.469000-5 3.035549+6 3.550000-5 2.685772+6 3.650000-5 2.301696+6 3.960000-5 1.442920+6 4.073803-5 1.233570+6 4.168694-5 1.093222+6 4.229500-5 1.017502+6 4.300000-5 9.419880+5 4.370000-5 8.786200+5 4.420000-5 8.396880+5 4.479900-5 7.992813+5 4.540000-5 7.648760+5 4.610000-5 7.316760+5 4.680000-5 7.049600+5 4.740000-5 6.865840+5 4.820000-5 6.677000+5 4.900000-5 6.543320+5 4.970000-5 6.464720+5 5.040000-5 6.416520+5 5.128614-5 6.392336+5 5.230000-5 6.405800+5 5.350000-5 6.466040+5 5.500000-5 6.590520+5 5.688529-5 6.797403+5 6.531306-5 7.894406+5 6.839116-5 8.250478+5 7.161434-5 8.567296+5 7.500000-5 8.832120+5 7.852356-5 9.032953+5 8.222426-5 9.165554+5 8.609938-5 9.226880+5 9.015711-5 9.219240+5 9.440609-5 9.148912+5 9.900000-5 9.018680+5 1.047129-4 8.800294+5 1.109175-4 8.519166+5 1.174898-4 8.191849+5 1.244515-4 7.829536+5 1.318257-4 7.438756+5 1.400000-4 7.005080+5 1.500000-4 6.488200+5 1.603245-4 5.983672+5 1.720000-4 5.456400+5 1.862087-4 4.883285+5 2.018366-4 4.332325+5 2.187762-4 3.814809+5 2.371374-4 3.334857+5 2.600160-4 2.837034+5 2.851018-4 2.396892+5 3.126079-4 2.010975+5 3.427678-4 1.674571+5 3.801894-4 1.352837+5 4.216965-4 1.085127+5 4.731513-4 8.416952+4 5.308844-4 6.476991+4 5.956621-4 4.945316+4 6.760830-4 3.644690+4 7.673615-4 2.663665+4 8.709636-4 1.931831+4 9.885531-4 1.390096+4 1.109175-3 1.023866+4 1.258925-3 7.258204+3 1.428894-3 5.104128+3 1.603245-3 3.679936+3 1.819701-3 2.548090+3 2.041738-3 1.811814+3 2.317395-3 1.235598+3 2.630268-3 8.364278+2 3.000000-3 5.536400+2 3.427678-3 3.618444+2 3.935501-3 2.311415+2 4.570882-3 1.411325+2 5.308844-3 8.550001+1 6.095369-3 5.345897+1 7.079458-3 3.188954+1 8.222426-3 1.887310+1 9.549926-3 1.108518+1 1.122018-2 6.203263+0 1.318257-2 3.446123+0 1.566751-2 1.821646+0 1.840772-2 9.975590-1 2.238721-2 4.762321-1 2.754229-2 2.159689-1 3.507519-2 8.516022-2 4.466836-2 3.335216-2 7.673615-2 4.064114-3 9.660509-2 1.669043-3 1.161449-1 8.245162-4 1.364583-1 4.480457-4 1.584893-1 2.562225-4 1.798871-1 1.607727-4 2.018366-1 1.059508-4 2.264644-1 7.033127-5 2.511886-1 4.897948-5 2.786121-1 3.435893-5 3.054921-1 2.523894-5 3.349654-1 1.866692-5 3.672823-1 1.390900-5 4.000000-1 1.066600-5 4.365158-1 8.192960-6 4.731513-1 6.467212-6 5.128614-1 5.138812-6 5.559043-1 4.110746-6 6.025596-1 3.311328-6 6.531306-1 2.687636-6 7.079458-1 2.196895-6 7.673615-1 1.808189-6 8.413951-1 1.457813-6 9.120108-1 1.216096-6 9.772372-1 1.048122-6 1.083927+0 8.476029-7 1.161449+0 7.394353-7 1.273503+0 6.211377-7 1.412538+0 5.144484-7 1.584893+0 4.206841-7 1.778279+0 3.466551-7 1.995262+0 2.879155-7 2.264644+0 2.366722-7 2.570396+0 1.959407-7 2.951209+0 1.606470-7 3.427678+0 1.305595-7 4.000000+0 1.062400-7 4.731513+0 8.559765-8 5.688529+0 6.806183-8 6.918310+0 5.374769-8 8.709636+0 4.106226-8 1.100000+1 3.149100-8 1.479108+1 2.269387-8 2.000000+1 1.637600-8 2.754229+1 1.167071-8 3.935501+1 8.040218-9 6.760830+1 4.609884-9 1.333521+2 2.313049-9 2.660725+2 1.152561-9 2.113489+3 1.44436-10 1.000000+5 3.05060-12 1 20000 7 0 4.008000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 3.360000-5 3.360000-5 1.000000+5 3.360000-5 1 20000 7 9 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.360000-5 0.0 1.000000+5 1.000000+5 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 5.450000-6 5.558480+5 5.495409-6 5.171685+5 5.580000-6 4.498600+5 5.688529-6 3.745367+5 5.770000-6 3.253240+5 5.850000-6 2.824280+5 5.920000-6 2.486960+5 6.000000-6 2.143400+5 6.070000-6 1.874678+5 6.150000-6 1.600548+5 6.230000-6 1.359066+5 6.290000-6 1.197160+5 6.350000-6 1.050298+5 6.400000-6 9.385060+4 6.460000-6 8.161660+4 6.520000-6 7.059980+4 6.580000-6 6.069440+4 6.620000-6 5.467100+4 6.670000-6 4.775120+4 6.715000-6 4.206860+4 6.760830-6 3.678124+4 6.810000-6 3.163380+4 6.850000-6 2.782400+4 6.890000-6 2.433420+4 6.930000-6 2.114960+4 6.970000-6 1.825332+4 7.000000-6 1.626128+4 7.035000-6 1.412348+4 7.060000-6 1.271472+4 7.085000-6 1.140036+4 7.115000-6 9.944180+3 7.140000-6 8.827280+3 7.170000-6 7.599400+3 7.192000-6 6.773560+3 7.215000-6 5.976100+3 7.240000-6 5.182600+3 7.260000-6 4.601540+3 7.280000-6 4.066640+3 7.300000-6 3.576480+3 7.320000-6 3.130200+3 7.340000-6 2.726260+3 7.365000-6 2.279520+3 7.390000-6 1.895108+3 7.440000-6 1.304840+3 7.455000-6 1.172260+3 7.470000-6 1.059488+3 7.480000-6 9.950900+2 7.490000-6 9.391740+2 7.500000-6 8.916220+2 7.510000-6 8.523080+2 7.518000-6 8.267340+2 7.527000-6 8.040920+2 7.535000-6 7.893640+2 7.542000-6 7.805940+2 7.550000-6 7.752280+2 7.557000-6 7.745620+2 7.565000-6 7.783560+2 7.574000-6 7.883620+2 7.581000-6 8.003460+2 7.588000-6 8.158840+2 7.596000-6 8.379960+2 7.605000-6 8.683600+2 7.615000-6 9.088240+2 7.627000-6 9.665880+2 7.642000-6 1.052658+3 7.660000-6 1.175934+3 7.685000-6 1.382038+3 7.730000-6 1.851342+3 7.760000-6 2.230880+3 7.780000-6 2.512300+3 7.800000-6 2.815420+3 7.820000-6 3.139700+3 7.840000-6 3.484500+3 7.865000-6 3.943600+3 7.890000-6 4.432420+3 7.920000-6 5.056820+3 7.950000-6 5.720900+3 7.980000-6 6.422420+3 8.010000-6 7.159880+3 8.035261-6 7.807254+3 8.070000-6 8.735120+3 8.100000-6 9.569900+3 8.140000-6 1.072806+4 8.180000-6 1.193480+4 8.222426-6 1.326416+4 8.270000-6 1.481038+4 8.317638-6 1.641307+4 8.365000-6 1.805558+4 8.420000-6 2.001820+4 8.480000-6 2.222100+4 8.520000-6 2.372040+4 8.570000-6 2.562720+4 8.620000-6 2.756440+4 8.680000-6 2.992680+4 8.740000-6 3.232160+4 8.810489-6 3.517087+4 8.880000-6 3.801180+4 8.960000-6 4.130900+4 9.050000-6 4.504120+4 9.150000-6 4.920140+4 9.240000-6 5.294520+4 9.350000-6 5.750520+4 9.460000-6 6.203320+4 9.600000-6 6.772840+4 9.700000-6 7.173820+4 9.850000-6 7.764460+4 1.000000-5 8.340480+4 1.015000-5 8.900400+4 1.035142-5 9.625102+4 1.055000-5 1.030758+5 1.077000-5 1.102542+5 1.100000-5 1.173244+5 1.127000-5 1.250590+5 1.150000-5 1.311746+5 1.180000-5 1.385180+5 1.215000-5 1.462206+5 1.250000-5 1.530528+5 1.290000-5 1.598844+5 1.333521-5 1.662517+5 1.383600-5 1.723635+5 1.440000-5 1.778920+5 1.500000-5 1.824200+5 1.570000-5 1.862314+5 1.650000-5 1.890120+5 1.737801-5 1.905403+5 1.840772-5 1.908092+5 1.950000-5 1.897700+5 2.089296-5 1.870688+5 2.238721-5 1.831042+5 2.426610-5 1.772225+5 2.630268-5 1.702370+5 2.851018-5 1.624352+5 3.126079-5 1.527729+5 3.427678-5 1.426055+5 3.715352-5 1.334015+5 4.073803-5 1.227037+5 4.466836-5 1.120016+5 4.900000-5 1.014466+5 5.432503-5 9.008846+4 6.095369-5 7.823816+4 6.918310-5 6.645791+4 8.222426-5 5.274537+4 1.023293-4 3.900758+4 1.380384-4 2.552024+4 1.659587-4 1.956373+4 1.883649-4 1.617413+4 2.065380-4 1.400481+4 2.344229-4 1.138958+4 2.722701-4 8.846115+3 3.311311-4 6.315387+3 4.365158-4 3.871203+3 5.248075-4 2.772968+3 6.309573-4 1.971874+3 7.585776-4 1.391977+3 9.120108-4 9.750657+2 1.096478-3 6.777276+2 1.303167-3 4.782874+2 1.531087-3 3.429905+2 1.798871-3 2.441466+2 2.113489-3 1.724647+2 2.454709-3 1.240060+2 2.851018-3 8.852144+1 3.273407-3 6.438176+1 3.801894-3 4.524991+1 4.415704-3 3.157033+1 5.188000-3 2.125906+1 6.095369-3 1.420830+1 7.161434-3 9.420723+0 8.317638-3 6.386439+0 9.772372-3 4.169884+0 1.148154-2 2.701991+0 1.348963-2 1.738117+0 1.603245-2 1.075104+0 1.905461-2 6.599722-1 2.264644-2 4.021652-1 2.722701-2 2.352985-1 3.273407-2 1.366423-1 3.981072-2 7.612579-2 4.954502-2 3.927661-2 6.309573-2 1.872824-2 8.609938-2 7.161129-3 1.566751-1 1.110071-3 1.949845-1 5.654178-4 2.344229-1 3.222485-4 2.722701-1 2.055794-4 3.126079-1 1.367996-4 3.507519-1 9.807398-5 3.935501-1 7.082578-5 4.365158-1 5.321753-5 4.841724-1 4.028490-5 5.308844-1 3.166854-5 5.821032-1 2.506573-5 6.382635-1 1.998627-5 6.998420-1 1.605727-5 7.673615-1 1.299943-5 8.317638-1 1.087520-5 9.120108-1 8.934919-6 1.000000+0 7.398200-6 1.148154+0 5.626761-6 1.273503+0 4.615852-6 1.412538+0 3.814886-6 1.548817+0 3.240964-6 1.717908+0 2.717439-6 1.905461+0 2.294177-6 2.137962+0 1.914536-6 2.426610+0 1.580124-6 2.786121+0 1.291328-6 3.198895+0 1.063023-6 3.715352+0 8.674892-7 4.365158+0 7.025179-7 5.248075+0 5.567449-7 6.382635+0 4.383152-7 7.852356+0 3.429641-7 9.885531+0 2.630740-7 1.273503+1 1.981519-7 1.659587+1 1.482945-7 2.162719+1 1.115954-7 2.800000+1 8.495800-8 3.890451+1 6.025865-8 6.760830+1 3.414042-8 1.333521+2 1.713016-8 2.660725+2 8.536179-9 2.113489+3 1.069647-9 1.000000+5 2.25930-11 1 20000 7 0 4.008000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 5.450000-6 5.450000-6 1.000000+5 5.450000-6 1 20000 7 9 4.008000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 5.450000-6 0.0 1.000000+5 1.000000+5 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.657690-8 1.028750+0 1.657690-7 1.035300+0 1.246810-6 1.036640+0 1.657690-6 1.038200+0 2.237110-6 1.039700+0 2.906450-6 1.041500+0 3.867000-6 1.043800+0 5.367530-6 1.046400+0 7.467910-6 1.048300+0 9.297750-6 1.051200+0 1.261220-5 1.054080+0 1.657690-5 1.057700+0 2.259530-5 1.061100+0 2.939070-5 1.065100+0 3.890980-5 1.070400+0 5.428290-5 1.076200+0 7.501850-5 1.080600+0 9.368570-5 1.087100+0 1.262260-4 1.093710+0 1.657690-4 1.102600+0 2.298460-4 1.110700+0 2.997790-4 1.120600+0 4.010420-4 1.133300+0 5.576680-4 1.147500+0 7.700210-4 1.158200+0 9.569480-4 1.174100+0 1.278880-3 1.190110+0 1.657690-3 1.205100+0 2.062730-3 1.227500+0 2.759920-3 1.250000+0 3.569000-3 1.280300+0 4.824070-3 1.307700+0 6.115330-3 1.343000+0 7.985840-3 1.382200+0 1.031800-2 1.433800+0 1.376650-2 1.500000+0 1.878000-2 1.562500+0 2.409280-2 1.617200+0 2.917550-2 1.712900+0 3.894400-2 1.784700+0 4.690900-2 1.892300+0 5.968580-2 2.000000+0 7.323000-2 2.044000+0 7.891000-2 2.215800+0 1.015180-1 2.359600+0 1.206960-1 2.588300+0 1.512010-1 2.862800+0 1.874030-1 3.000000+0 2.053000-1 3.437500+0 2.613290-1 4.000000+0 3.300000-1 4.750000+0 4.140660-1 5.000000+0 4.405000-1 6.000000+0 5.393000-1 7.000000+0 6.271000-1 8.000000+0 7.062000-1 9.000000+0 7.777000-1 1.000000+1 8.426000-1 1.100000+1 9.015000-1 1.200000+1 9.554000-1 1.300000+1 1.005000+0 1.400000+1 1.052000+0 1.500000+1 1.095000+0 1.600000+1 1.136000+0 1.800000+1 1.211000+0 2.000000+1 1.277000+0 2.200000+1 1.337000+0 2.400000+1 1.392000+0 2.600000+1 1.442000+0 2.800000+1 1.489000+0 3.000000+1 1.531000+0 4.000000+1 1.706000+0 5.000000+1 1.836000+0 6.000000+1 1.938000+0 8.000000+1 2.090000+0 1.000000+2 2.199000+0 1.500000+2 2.376000+0 2.000000+2 2.484000+0 3.000000+2 2.611000+0 4.000000+2 2.686000+0 5.000000+2 2.736000+0 6.000000+2 2.772000+0 8.000000+2 2.820000+0 1.000000+3 2.851000+0 1.500000+3 2.897000+0 2.000000+3 2.922000+0 3.000000+3 2.949000+0 4.000000+3 2.964000+0 5.000000+3 2.973000+0 6.000000+3 2.979000+0 8.000000+3 2.988000+0 1.000000+4 2.993000+0 1.500000+4 3.001000+0 2.000000+4 3.005000+0 3.000000+4 3.009000+0 4.000000+4 3.011000+0 5.000000+4 3.012000+0 6.000000+4 3.013000+0 8.000000+4 3.015000+0 1.000000+5 3.015000+0 1 20000 7 8 4.008000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 20000 7 9 4.008000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 2.008460-7 2.119500+0 1.127240-6 2.127900+0 1.528740-6 2.136250+0 2.008460-6 2.147000+0 2.753740-6 2.156900+0 3.576780-6 2.169000+0 4.773430-6 2.184500+0 6.635230-6 2.201800+0 9.180030-6 2.214800+0 1.143760-5 2.234200+0 1.538560-5 2.253680+0 2.008460-5 2.281500+0 2.813210-5 2.307000+0 3.695140-5 2.338200+0 4.968440-5 2.377400+0 6.880700-5 2.410200+0 8.751110-5 2.446800+0 1.113190-4 2.485900+0 1.401570-4 2.532900+0 1.793700-4 2.556430+0 2.008460-4 2.611900+0 2.560990-4 2.660400+0 3.096080-4 2.745300+0 4.143860-4 2.809000+0 5.018420-4 2.904500+0 6.464870-4 3.000000+0 8.070000-4 3.125000+0 1.040660-3 3.234400+0 1.266340-3 3.425800+0 1.705570-3 3.569300+0 2.068430-3 3.784700+0 2.659470-3 4.000000+0 3.295000-3 4.250000+0 4.072100-3 4.625000+0 5.293630-3 5.000000+0 6.564000-3 5.500000+0 8.309020-3 6.000000+0 1.008000-2 6.750000+0 1.272080-2 7.000000+0 1.359000-2 8.000000+0 1.699000-2 9.000000+0 2.025000-2 1.000000+1 2.335000-2 1.100000+1 2.630000-2 1.200000+1 2.907000-2 1.300000+1 3.170000-2 1.400000+1 3.420000-2 1.500000+1 3.657000-2 1.600000+1 3.883000-2 1.800000+1 4.302000-2 2.000000+1 4.685000-2 2.200000+1 5.037000-2 2.400000+1 5.361000-2 2.600000+1 5.662000-2 2.800000+1 5.941000-2 3.000000+1 6.202000-2 4.000000+1 7.292000-2 5.000000+1 8.131000-2 6.000000+1 8.804000-2 8.000000+1 9.834000-2 1.000000+2 1.060000-1 1.500000+2 1.189000-1 2.000000+2 1.272000-1 3.000000+2 1.377000-1 4.000000+2 1.441000-1 5.000000+2 1.486000-1 6.000000+2 1.519000-1 8.000000+2 1.566000-1 1.000000+3 1.598000-1 1.500000+3 1.646000-1 2.000000+3 1.674000-1 3.000000+3 1.705000-1 4.000000+3 1.723000-1 5.000000+3 1.734000-1 6.000000+3 1.742000-1 8.000000+3 1.753000-1 1.000000+4 1.760000-1 1.500000+4 1.769000-1 2.000000+4 1.775000-1 3.000000+4 1.780000-1 4.000000+4 1.783000-1 5.000000+4 1.785000-1 6.000000+4 1.786000-1 8.000000+4 1.788000-1 1.000000+5 1.789000-1 1 20000 7 8 4.008000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 20000 7 9 4.008000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 2.000000+1 1.000000+5 2.000000+1 5.000000+5 1.998800+1 7.500000+5 1.997450+1 1.000000+6 1.995700+1 1.250000+6 1.993460+1 1.500000+6 1.990700+1 1.875000+6 1.985510+1 2.000000+6 1.983700+1 2.375000+6 1.977070+1 2.500000+6 1.974800+1 2.875000+6 1.966970+1 3.000000+6 1.964300+1 3.437500+6 1.953710+1 3.812500+6 1.943900+1 4.000000+6 1.938800+1 4.437500+6 1.926030+1 4.812500+6 1.914640+1 5.000000+6 1.908800+1 5.500000+6 1.892250+1 5.875000+6 1.879460+1 6.000000+6 1.875240+1 6.437500+6 1.859780+1 7.000000+6 1.839800+1 7.500000+6 1.821730+1 8.156200+6 1.797910+1 8.500000+6 1.785400+1 9.000000+6 1.767500+1 1.000000+7 1.731900+1 1.187500+7 1.668420+1 1.250000+7 1.648300+1 1.500000+7 1.571500+1 1.750000+7 1.499000+1 2.000000+7 1.429300+1 2.250000+7 1.361070+1 2.375000+7 1.327640+1 2.500000+7 1.294700+1 2.750000+7 1.230370+1 2.875000+7 1.199180+1 3.000000+7 1.168900+1 3.250000+7 1.110800+1 3.437500+7 1.069950+1 3.812500+7 9.960360+0 4.000000+7 9.629500+0 4.500000+7 8.863820+0 4.750000+7 8.540260+0 5.000000+7 8.252400+0 5.500000+7 7.769510+0 5.750000+7 7.563830+0 6.000000+7 7.376700+0 7.000000+7 6.749800+0 7.750000+7 6.340820+0 8.000000+7 6.209500+0 8.750000+7 5.819450+0 9.000000+7 5.690900+0 9.500000+7 5.434910+0 1.000000+8 5.181400+0 1.062500+8 4.869110+0 1.109400+8 4.639070+0 1.179700+8 4.303930+0 1.187500+8 4.267610+0 1.250000+8 3.982100+0 1.312500+8 3.708770+0 1.406300+8 3.332120+0 1.437500+8 3.216820+0 1.500000+8 3.002000+0 1.718800+8 2.401660+0 1.812500+8 2.204460+0 1.937500+8 1.985480+0 2.000000+8 1.891800+0 2.125000+8 1.731960+0 2.253900+8 1.601260+0 2.341800+8 1.529720+0 2.375000+8 1.506070+0 2.447300+8 1.460400+0 2.500000+8 1.431900+0 3.000000+8 1.250100+0 3.125000+8 1.201190+0 3.500000+8 1.068400+0 4.000000+8 9.473000-1 4.179700+8 9.031520-1 4.330100+8 8.651290-1 4.569300+8 8.050110-1 4.892300+8 7.287440-1 5.000000+8 7.051000-1 5.343800+8 6.352780-1 5.578100+8 5.908960-1 5.789100+8 5.522490-1 6.000000+8 5.145000-1 6.250000+8 4.711530-1 6.625000+8 4.147940-1 6.812500+8 3.916710-1 7.000000+8 3.722000-1 7.250000+8 3.514580-1 7.625000+8 3.249170-1 7.812500+8 3.115380-1 8.000000+8 2.972000-1 8.183600+8 2.819710-1 8.352100+8 2.674240-1 8.558000+8 2.494630-1 8.822400+8 2.269220-1 9.116800+8 2.034090-1 1.000000+9 1.472000-1 1.031300+9 1.324980-1 1.089800+9 1.104790-1 1.141100+9 9.541410-2 1.230800+9 7.544430-2 1.399100+9 5.079340-2 1.466400+9 4.376670-2 1.500000+9 4.067400-2 1.589800+9 3.352410-2 1.665000+9 2.861770-2 1.784700+9 2.242270-2 1.928200+9 1.698400-2 2.000000+9 1.487400-2 2.363300+9 8.072260-3 2.846700+9 4.050090-3 3.385000+9 2.118260-3 4.192500+9 9.454870-4 5.000000+9 4.852600-4 7.250000+9 1.186710-4 8.000000+9 8.180900-5 9.500000+9 4.285980-5 1.00000+10 3.537200-5 1.20500+10 1.769660-5 1.41820+10 9.727330-6 1.71170+10 4.910310-6 2.01490+10 2.731560-6 2.26440+10 1.801110-6 2.74790+10 9.084980-7 3.20120+10 5.321740-7 3.62610+10 3.450400-7 4.42280+10 1.739860-7 5.12000+10 1.054920-7 6.34000+10 5.113670-8 7.94120+10 2.402760-8 1.00000+11 1.117400-8 1.26840+11 5.111930-9 1.58400+11 2.477790-9 2.01970+11 1.130200-9 2.73980+11 4.26183-10 3.88950+11 1.40747-10 6.15400+11 3.36300-11 1.00720+12 7.38886-12 1.85540+12 1.15949-12 4.35530+12 9.09402-14 2.49740+13 5.45894-16 1.00000+14 9.57510-18 5.62340+14 5.95124-20 5.42470+15 6.98379-23 1.00000+17 1.10980-26 1 20000 7 0 4.008000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 7.20000-12 1.000000+2 7.20000-10 1.000000+3 7.200000-8 1.000000+4 7.200000-6 1.000000+5 7.200000-4 5.000000+5 1.800000-2 7.500000+5 4.050000-2 1.000000+6 7.200000-2 1.250000+6 1.118630-1 1.500000+6 1.598000-1 1.875000+6 2.458430-1 2.000000+6 2.781000-1 2.375000+6 3.845160-1 2.500000+6 4.230000-1 2.875000+6 5.462200-1 3.000000+6 5.897000-1 3.437500+6 7.495310-1 3.812500+6 8.941550-1 4.000000+6 9.685000-1 4.437500+6 1.144960+0 4.812500+6 1.298180+0 5.000000+6 1.375000+0 5.500000+6 1.578330+0 5.875000+6 1.728500+0 6.000000+6 1.777960+0 6.437500+6 1.947700+0 7.000000+6 2.157500+0 7.500000+6 2.334470+0 8.156200+6 2.554250+0 8.500000+6 2.663710+0 9.000000+6 2.817200+0 1.000000+7 3.105000+0 1.187500+7 3.601700+0 1.250000+7 3.761800+0 1.500000+7 4.401000+0 1.750000+7 5.047700+0 2.000000+7 5.690000+0 2.250000+7 6.309550+0 2.375000+7 6.608260+0 2.500000+7 6.899300+0 2.750000+7 7.455440+0 2.875000+7 7.721590+0 3.000000+7 7.981000+0 3.250000+7 8.476430+0 3.437500+7 8.828880+0 3.812500+7 9.485250+0 4.000000+7 9.790000+0 4.500000+7 1.052470+1 4.750000+7 1.085320+1 5.000000+7 1.115700+1 5.500000+7 1.169600+1 5.750000+7 1.193640+1 6.000000+7 1.216300+1 7.000000+7 1.295300+1 7.750000+7 1.347090+1 8.000000+7 1.363500+1 8.750000+7 1.410490+1 9.000000+7 1.425600+1 9.500000+7 1.454770+1 1.000000+8 1.483000+1 1.062500+8 1.516330+1 1.109400+8 1.539880+1 1.179700+8 1.573160+1 1.187500+8 1.576660+1 1.250000+8 1.603800+1 1.312500+8 1.628780+1 1.406300+8 1.662490+1 1.437500+8 1.672750+1 1.500000+8 1.692100+1 1.718800+8 1.747010+1 1.812500+8 1.765840+1 1.937500+8 1.787370+1 2.000000+8 1.797000+1 2.125000+8 1.813810+1 2.253900+8 1.828870+1 2.341800+8 1.838150+1 2.375000+8 1.841360+1 2.447300+8 1.848210+1 2.500000+8 1.853100+1 3.000000+8 1.890600+1 3.125000+8 1.898310+1 3.500000+8 1.919100+1 4.000000+8 1.941100+1 4.179700+8 1.947430+1 4.330100+8 1.952530+1 4.569300+8 1.959370+1 4.892300+8 1.967400+1 5.000000+8 1.969800+1 5.343800+8 1.976020+1 5.578100+8 1.979610+1 5.789100+8 1.982310+1 6.000000+8 1.984800+1 6.250000+8 1.987070+1 6.625000+8 1.990070+1 6.812500+8 1.991250+1 7.000000+8 1.992400+1 7.250000+8 1.993440+1 7.625000+8 1.994930+1 7.812500+8 1.995580+1 8.000000+8 1.996100+1 8.183600+8 1.996460+1 8.352100+8 1.996780+1 8.558000+8 1.997160+1 8.822400+8 1.997640+1 9.116800+8 1.998070+1 1.000000+9 1.998900+1 1.031300+9 1.999020+1 1.089800+9 1.999230+1 1.141100+9 1.999410+1 1.230800+9 1.999700+1 1.399100+9 1.999850+1 1.466400+9 1.999880+1 1.500000+9 1.999900+1 1.589800+9 1.999920+1 1.665000+9 1.999940+1 1.784700+9 1.999960+1 1.928200+9 1.999990+1 2.000000+9 2.000000+1 2.363300+9 2.000000+1 2.846700+9 2.000000+1 3.385000+9 2.000000+1 4.192500+9 2.000000+1 5.000000+9 2.000000+1 7.250000+9 2.000000+1 8.000000+9 2.000000+1 9.500000+9 2.000000+1 1.00000+10 2.000000+1 1.20500+10 2.000000+1 1.41820+10 2.000000+1 1.71170+10 2.000000+1 2.01490+10 2.000000+1 2.26440+10 2.000000+1 2.74790+10 2.000000+1 3.20120+10 2.000000+1 3.62610+10 2.000000+1 4.42280+10 2.000000+1 5.12000+10 2.000000+1 6.34000+10 2.000000+1 7.94120+10 2.000000+1 1.00000+11 2.000000+1 1.26840+11 2.000000+1 1.58400+11 2.000000+1 2.01970+11 2.000000+1 2.73980+11 2.000000+1 3.88950+11 2.000000+1 6.15400+11 2.000000+1 1.00720+12 2.000000+1 1.85540+12 2.000000+1 4.35530+12 2.000000+1 2.49740+13 2.000000+1 1.00000+14 2.000000+1 5.62340+14 2.000000+1 5.42470+15 2.000000+1 1.00000+17 2.000000+1 1 20000 7 0 4.008000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.272866-6 0.0 2.282656-6 3.365802+0 2.284055-6 3.841725+0 2.287838-6 5.987212+0 2.289649-6 8.270631+0 2.295244-6 1.693636+1 2.299100-6 2.408964+1 2.300838-6 2.810514+1 2.304731-6 3.811586+1 2.311166-6 5.943634+1 2.323216-6 1.066483+2 2.329160-6 1.263618+2 2.335310-6 1.388304+2 2.339999-6 1.421153+2 2.344747-6 1.381724+2 2.350424-6 1.249535+2 2.360943-6 8.575797+1 2.367971-6 5.773352+1 2.372306-6 4.264660+1 2.377937-6 2.693605+1 2.383569-6 1.501785+1 2.384754-6 1.320892+1 2.389200-6 8.024740+0 2.397647-6 2.039921+0 2.400462-6 0.0 3.396363-6 0.0 3.404723-6 1.45379-15 3.413082-6 2.87666-15 3.421442-6 5.25445-15 3.429802-6 8.85972-15 3.438161-6 1.37901-14 3.446521-6 1.98138-14 3.454881-6 2.62798-14 3.463241-6 3.21759-14 3.471600-6 3.63658-14 3.479960-6 3.79410-14 3.488320-6 3.65409-14 3.496679-6 3.24866-14 3.505039-6 2.66613-14 3.521759-6 1.41254-14 3.530118-6 9.11885-15 3.538478-6 5.43418-15 3.546838-6 2.98939-15 3.555197-6 1.51805-15 3.563557-6 0.0 3.911923-6 0.0 3.912460-6 2.236612-7 3.931720-6 2.023863-5 3.941350-6 3.685479-5 3.946473-6 5.008978-5 3.950816-6 1.532292-2 3.965900-6 1.825630-1 3.970265-6 2.404833-1 3.975614-6 3.383789-1 3.979989-6 4.315016-1 3.985328-6 5.796221-1 3.989713-6 7.154666-1 4.000211-6 1.132646+0 4.024183-6 2.269984+0 4.037226-6 2.709528+0 4.049276-6 2.807565+0 4.059000-6 2.650496+0 4.069254-6 2.286718+0 4.095430-6 1.057884+0 4.101892-6 8.017903-1 4.106407-6 6.421584-1 4.111606-6 4.947396-1 4.116131-6 3.799001-1 4.121320-6 2.822881-1 4.125855-6 2.075650-1 4.140747-6 3.655214-2 4.145304-6 0.0 4.489838-6 0.0 4.489848-6 4.92103-15 4.500899-6 1.30384-11 4.511950-6 2.57980-11 4.523353-6 4.81459-11 4.523597-6 2.903326-8 4.536558-6 3.872451-6 4.538403-6 9.777288-4 4.558891-6 3.605957-2 4.560744-6 3.984412-2 4.570057-6 6.619393-2 4.571915-6 7.228506-2 4.583086-6 1.211116-1 4.594256-6 1.873973-1 4.625888-6 4.185072-1 4.638939-6 4.844490-1 4.650110-6 5.033395-1 4.661281-6 4.828942-1 4.672451-6 4.277722-1 4.705964-6 1.842618-1 4.717134-6 1.186316-1 4.728305-6 7.051801-2 4.737549-6 4.362863-2 4.739476-6 3.870097-2 4.750646-6 1.911018-2 4.759882-6 2.431909-3 4.761817-6 0.0 4.788663-6 0.0 4.800450-6 8.42846-12 4.812237-6 1.66776-11 4.813580-6 1.82453-11 4.814546-6 1.611381-4 4.838247-6 1.330450-2 4.850097-6 2.422055-2 4.861948-6 4.071227-2 4.873798-6 6.318522-2 4.908364-6 1.442930-1 4.921200-6 1.650216-1 4.933050-6 1.718247-1 4.944900-6 1.651755-1 4.956751-6 1.465942-1 4.992302-6 7.015443-2 5.004152-6 5.271013-2 5.016003-6 4.367861-2 5.027853-6 4.282217-2 5.051554-6 5.481162-2 5.064152-6 6.825584-2 5.076376-6 7.858295-2 5.088600-6 8.384829-2 5.100824-6 8.406981-2 5.113048-6 8.015862-2 5.145538-6 6.602803-2 5.161944-6 6.220922-2 5.198872-6 6.209335-2 5.212891-6 6.029976-2 5.237883-6 5.934467-2 5.348837-6 4.991963-2 5.392087-6 4.461535-2 5.423476-6 4.130909-2 5.487726-6 3.894483-2 5.548623-6 3.724844-2 5.809862-6 2.528297-2 5.993649-6 1.865975-2 6.169903-6 1.362346-2 6.334947-6 9.887215-3 6.456193-6 7.649761-3 6.599970-6 5.480861-3 6.720846-6 4.013439-3 6.839971-6 2.845382-3 6.924975-6 2.163478-3 7.017478-6 1.550853-3 7.099984-6 1.108583-3 7.171740-6 7.972566-4 7.233115-6 5.813562-4 7.289993-6 4.200554-4 7.340149-6 3.070362-4 7.375929-6 2.423589-4 7.416376-6 1.845443-4 7.445624-6 1.524806-4 7.480000-6 1.248740-4 7.510000-6 1.094021-4 7.535000-6 1.024626-4 7.565000-6 1.010742-4 7.592000-6 1.061135-4 7.618000-6 1.164328-4 7.645374-6 1.329288-4 7.680000-6 1.618632-4 7.717317-6 2.026357-4 7.762022-6 2.642422-4 7.809994-6 3.450561-4 7.877490-6 4.831165-4 7.964986-6 7.015908-4 8.084986-6 1.066711-3 8.211799-6 1.525173-3 8.406216-6 2.351708-3 8.712561-6 3.892100-3 8.890031-6 4.885580-3 9.700000-6 9.943067-3 1.143030-5 2.113007-2 1.292747-5 2.959955-2 1.500000-5 3.910760-2 1.773873-5 4.833870-2 2.146151-5 5.691672-2 2.553484-5 6.267539-2 2.733049-5 6.435410-2 2.735724-5 3.897563-1 2.749191-5 1.683273+1 2.755925-5 3.052911+1 2.762658-5 5.117577+1 2.770234-5 8.361891+1 2.778643-5 1.288975+2 2.786866-5 1.768256+2 2.795676-5 2.182290+2 2.802492-5 2.376384+2 2.806752-5 2.435527+2 2.812631-5 2.440327+2 2.820165-5 2.317441+2 2.832056-5 1.976492+2 2.863632-5 8.222312+1 2.870396-5 5.663518+1 2.877006-5 4.001176+1 2.883835-5 2.585355+1 2.890665-5 1.543350+1 2.897494-5 8.519775+0 2.909143-5 1.331550+0 2.911152-5 6.601913-2 3.086451-5 6.780281-2 3.101645-5 1.947404-1 3.109242-5 2.996325-1 3.116839-5 4.586472-1 3.124435-5 6.760907-1 3.128521-5 8.209928-1 3.138061-5 1.208350+0 3.149231-5 1.727991+0 3.161662-5 2.190870+0 3.177646-5 2.628611+0 3.197271-5 3.051381+0 3.212669-5 3.235213+0 3.236071-5 3.121545+0 3.245840-5 3.021422+0 3.305221-5 2.751076+0 3.457845-5 2.400515+0 3.730161-5 1.738634+0 3.937518-5 1.361749+0 4.120975-5 1.120164+0 4.300000-5 9.555832-1 4.509950-5 8.347931-1 4.680852-5 7.819418-1 4.886407-5 7.579910-1 4.910462-5 8.238506-1 4.922489-5 8.793268-1 4.934516-5 9.631328-1 4.946544-5 1.076982+0 4.981103-5 1.480395+0 4.994653-5 1.589147+0 5.006680-5 1.622546+0 5.018707-5 1.588375+0 5.030735-5 1.494476+0 5.066816-5 1.089829+0 5.078844-5 9.880119-1 5.090014-5 9.262559-1 5.102450-5 8.940370-1 5.126888-5 9.072533-1 5.168036-5 1.065829+0 5.193855-5 1.113246+0 5.304686-5 1.113872+0 6.215265-5 1.440862+0 7.585776-5 1.965724+0 8.659618-5 2.274201+0 9.900000-5 2.497244+0 1.113498-4 2.617633+0 1.360320-4 2.687190+0 1.724934-4 2.563743+0 3.138898-4 1.760797+0 3.412222-4 1.638415+0 3.429020-4 4.584591+0 3.437419-4 7.024015+0 3.445817-4 1.072323+1 3.450081-4 1.331026+1 3.455020-4 1.684954+1 3.478163-4 3.694940+1 3.489715-4 4.604054+1 3.499512-4 5.041971+1 3.508306-4 5.157195+1 3.517394-4 5.011507+1 3.530004-4 4.459333+1 3.560000-4 2.690346+1 3.570250-4 2.203201+1 3.580817-4 1.765227+1 3.590400-4 1.600278+1 3.598500-4 1.511102+1 3.619650-4 1.395035+1 3.662130-4 1.460013+1 3.863748-4 1.411784+1 4.231746-4 1.290040+1 4.293866-4 1.347817+1 4.342600-4 1.395778+1 5.587054-4 1.054820+1 6.551729-4 8.554162+0 7.681901-4 6.849285+0 8.906299-4 5.512276+0 1.030758-3 4.419498+0 1.177924-3 3.593392+0 1.312706-3 3.026557+0 1.501561-3 2.438047+0 1.671684-3 2.044717+0 1.881344-3 1.681091+0 2.114895-3 1.380917+0 2.387827-3 1.123210+0 2.683799-3 9.186224-1 3.004341-3 7.549764-1 3.363730-3 6.193941-1 3.821923-3 4.942408-1 3.916978-3 4.793710-1 3.934937-3 5.132815-1 3.945006-3 5.593839-1 3.955635-3 6.493915-1 3.965540-3 7.875395-1 3.975253-3 9.874471-1 3.984635-3 1.243916+0 3.997960-3 1.707295+0 4.028632-3 2.897879+0 4.047389-3 3.423994+0 4.067854-3 3.721912+0 4.105580-3 3.830444+0 5.001430-3 2.853300+0 5.702120-3 2.306027+0 6.487978-3 1.865861+0 7.317707-3 1.520913+0 8.258443-3 1.235248+0 9.337194-3 9.946557-1 1.050058-2 8.053367-1 1.174898-2 6.560208-1 1.303167-2 5.416091-1 1.452203-2 4.417487-1 1.605554-2 3.651708-1 1.770344-2 3.026091-1 1.974591-2 2.448447-1 2.157472-2 2.058157-1 2.390150-2 1.681145-1 2.677252-2 1.340155-1 2.962937-2 1.092115-1 3.225091-2 9.191400-2 3.534438-2 7.627728-2 3.876592-2 6.302528-2 4.330147-2 5.011957-2 4.849978-2 3.954302-2 5.326711-2 3.248390-2 5.888437-2 2.630634-2 6.550243-2 2.097748-2 7.297026-2 1.667009-2 8.055214-2 1.350762-2 8.821789-2 1.112236-2 9.643775-2 9.190160-3 1.055466-1 7.572868-3 1.161449-1 6.166378-3 1.263101-1 5.154272-3 1.381188-1 4.257871-3 1.502912-1 3.555926-3 1.642564-1 2.946005-3 1.806612-1 2.410926-3 1.964058-1 2.023479-3 2.133519-1 1.704857-3 2.341293-1 1.407824-3 2.561933-1 1.172771-3 2.789632-1 9.899219-4 3.054921-1 8.278679-4 3.371417-1 6.853331-4 3.687180-1 5.799464-4 4.088321-1 4.811239-4 4.565232-1 3.971168-4 5.113874-1 3.289683-4 5.824175-1 2.683364-4 6.531306-1 2.269937-4 7.334358-1 1.939085-4 8.293733-1 1.666581-4 9.660509-1 1.400354-4 1.173413+0 1.147332-4 1.410753+0 9.502296-5 1.696098+0 7.869881-5 2.039158+0 6.517901-5 2.451607+0 5.398180-5 2.947480+0 4.470818-5 3.543651+0 3.702768-5 4.260405+0 3.066664-5 5.122134+0 2.539836-5 6.158159+0 2.103514-5 7.403736+0 1.742148-5 8.901248+0 1.442861-5 9.760024+0 1.313090-5 1.000000+1 2.595560-5 1 20000 7 0 4.008000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-1.953304+1 1.560930-6-1.833178+1 1.830668-6-1.672275+1 1.961665-6-1.508749+1 2.048000-6-1.318776+1 2.098773-6-1.142004+1 2.138383-6-9.400135+0 2.162056-6-7.744307+0 2.181561-6-5.986672+0 2.197633-6-4.150170+0 2.206743-6-2.895360+0 2.214750-6-1.626425+0 2.218383-6-9.895219-1 2.221788-6-3.525390-1 2.224980-6 2.833693-1 2.230966-6 1.590769+0 2.236204-6 2.878920+0 2.240786-6 4.138681+0 2.244796-6 5.361786+0 2.251375-6 7.670361+0 2.258469-6 1.071725+1 2.264768-6 1.413297+1 2.270589-6 1.829109+1 2.282656-6 3.064138+1 2.287365-6 3.749932+1 2.291048-6 4.395679+1 2.300838-6 5.731052+1 2.306667-6 6.334887+1 2.312672-6 6.505789+1 2.316152-6 6.247374+1 2.320236-6 5.623610+1 2.323216-6 4.897489+1 2.326712-6 3.806127+1 2.328548-6 3.106639+1 2.329160-6 2.812692+1 2.332929-6 1.201741+1 2.333851-6 7.577047+0 2.334266-6 5.331917+0 2.334492-6 3.876945+0 2.334664-6 2.880780+0 2.334997-6 1.094300+0 2.335310-6-5.008291-1 2.335896-6-3.388114+0 2.339078-6-1.881383+1 2.339307-6-2.000348+1 2.339999-6-1.607186+1 2.344150-6 5.984467+0 2.344411-6 7.594511+0 2.345376-6 1.257235+1 2.350424-6 3.563782+1 2.353131-6 4.546873+1 2.357481-6 5.761887+1 2.360943-6 6.418840+1 2.365006-6 6.853701+1 2.367971-6 6.915156+1 2.372306-6 6.690061+1 2.377937-6 6.094015+1 2.383569-6 5.267376+1 2.389904-6 4.218613+1 2.400110-6 2.952608+1 2.402406-6 2.611389+1 2.407252-6 2.146100+1 2.413036-6 1.738488+1 2.420700-6 1.329329+1 2.428307-6 1.014705+1 2.435856-6 7.628146+0 2.443345-6 5.555247+0 2.450776-6 3.814246+0 2.458149-6 2.328459+0 2.465478-6 1.041565+0 2.472751-6-8.283914-2 2.479967-6-1.074366+0 2.487126-6-1.955695+0 2.494230-6-2.744527+0 2.508270-6-4.098118+0 2.528923-6-5.708984+0 2.555766-6-7.327930+0 2.594557-6-9.051137+0 2.655271-6-1.088489+1 2.733127-6-1.240032+1 2.865848-6-1.394524+1 3.102212-6-1.536839+1 3.563557-6-1.662456+1 3.922090-6-1.758810+1 4.006900-6-1.868288+1 4.033896-6-1.783096+1 4.072526-6-1.566314+1 4.095430-6-1.535133+1 4.178974-6-1.650479+1 4.625888-6-1.745897+1 4.717134-6-1.702999+1 4.944900-6-1.734331+1 1.500000-5-1.971613+1 1.645222-5-2.001360+1 1.976444-5-1.807846+1 2.182259-5-1.579320+1 2.305801-5-1.350100+1 2.390942-5-1.112124+1 2.450868-5-8.760855+0 2.485038-5-7.021204+0 2.515071-5-5.155153+0 2.528695-5-4.175187+0 2.541467-5-3.164603+0 2.553484-5-2.119947+0 2.564666-5-1.055021+0 2.575190-5 4.218696-2 2.585056-5 1.166258+0 2.594306-5 2.316204+0 2.602977-5 3.490641+0 2.611107-5 4.688051+0 2.625873-5 7.145092+0 2.638852-5 9.672692+0 2.655433-5 1.355999+1 2.669095-5 1.751015+1 2.683866-5 2.285759+1 2.695393-5 2.814268+1 2.707823-5 3.548803+1 2.718262-5 4.373259+1 2.726811-5 5.291458+1 2.733049-5 6.242801+1 2.749191-5 9.534515+1 2.763500-5 1.270653+2 2.771707-5 1.380983+2 2.778643-5 1.375442+2 2.783397-5 1.297640+2 2.786866-5 1.194255+2 2.793173-5 9.351282+1 2.797759-5 6.775000+1 2.803543-5 3.322133+1 2.804463-5 2.691669+1 2.805319-5 2.053250+1 2.806752-5 1.144502+1 2.809457-5-4.868385+0 2.810806-5-1.332634+1 2.811471-5-1.810182+1 2.811821-5-2.056372+1 2.812631-5-1.537908+1 2.818267-5 1.714343+1 2.818811-5 2.055902+1 2.820779-5 3.087689+1 2.824703-5 4.842005+1 2.832056-5 7.770244+1 2.838725-5 9.693992+1 2.845693-5 1.112538+2 2.854690-5 1.231421+2 2.863632-5 1.265876+2 2.869921-5 1.220894+2 2.900807-5 7.397055+1 2.915848-5 5.424641+1 2.926101-5 4.536737+1 2.939646-5 3.712804+1 2.954315-5 3.058632+1 2.966678-5 2.626594+1 2.982923-5 2.170011+1 3.004896-5 1.688647+1 3.019544-5 1.428218+1 3.041516-5 1.100536+1 3.063488-5 8.264357+0 3.098543-5 4.466935+0 3.116839-5 2.652297+0 3.128521-5 1.603729+0 3.138061-5 8.853732-1 3.143646-5 5.302304-1 3.149231-5 2.462554-1 3.157363-5-8.289031-2 3.165653-5-3.525779-1 3.177646-5-6.875378-1 3.187442-5-9.241213-1 3.197271-5-1.093742+0 3.230372-5-1.424723+0 3.238470-5-1.539288+0 3.318616-5-3.172944+0 3.372769-5-4.047576+0 3.457845-5-5.117344+0 3.605356-5-6.495645+0 3.787267-5-7.727152+0 4.120975-5-9.294785+0 4.886407-5-1.172032+1 4.970000-5-1.207089+1 5.048256-5-1.132957+1 5.179708-5-1.191063+1 6.531306-5-1.279221+1 8.659618-5-1.290165+1 1.598016-4-1.208257+1 2.111145-4-1.234074+1 2.508770-4-1.323452+1 2.809934-4-1.465104+1 3.021404-4-1.648895+1 3.163367-4-1.868196+1 3.264050-4-2.142797+1 3.305913-4-2.320683+1 3.357406-4-2.134968+1 3.385250-4-1.927763+1 3.401595-4-1.714591+1 3.411120-4-1.503618+1 3.415454-4-1.357952+1 3.427970-4-1.032938+1 3.446924-4-4.152378+0 3.450081-4-3.260240+0 3.455020-4-2.095766+0 3.456527-4-1.906242+0 3.457845-4-1.826886+0 3.460153-4-1.832039+0 3.461918-4-1.942221+0 3.464479-4-2.241266+0 3.467075-4-2.682815+0 3.468916-4-3.096542+0 3.471937-4-4.028331+0 3.475329-4-5.412722+0 3.478163-4-6.868060+0 3.481350-4-8.940863+0 3.488291-4-1.463445+1 3.497717-4-2.445422+1 3.501622-4-2.902099+1 3.502248-4-2.889564+1 3.511053-4-2.014448+1 3.516300-4-1.529688+1 3.518816-4-1.295960+1 3.522002-4-1.054236+1 3.530004-4-4.962774+0 3.532045-4-3.796801+0 3.533597-4-3.003422+0 3.535871-4-1.944732+0 3.538167-4-9.538308-1 3.540232-4-1.535755-1 3.541211-4 1.457304-1 3.543328-4 8.091742-1 3.544877-4 1.199282+0 3.546425-4 1.528178+0 3.549614-4 2.092723+0 3.552005-4 2.436724+0 3.555592-4 2.792426+0 3.557386-4 2.885160+0 3.562630-4 2.787448+0 3.564355-4 2.695305+0 3.572511-4 1.802493+0 3.575726-4 1.309108+0 3.577334-4 9.788534-1 3.578942-4 5.148330-1 3.580817-4-1.316138-1 3.582205-4-5.798656-1 3.586370-4-1.649514+0 3.596615-4-3.859824+0 3.603014-4-4.976885+0 3.624032-4-7.873485+0 3.637143-4-8.845932+0 3.651328-4-9.398792+0 3.687839-4-9.989615+0 3.757851-4-1.013232+1 4.146420-4-8.577695+0 4.231746-4-8.659574+0 4.284041-4-8.862034+0 4.317249-4-8.573623+0 4.392564-4-7.495795+0 4.520444-4-6.539682+0 4.749051-4-5.348305+0 5.021050-4-4.317494+0 5.347182-4-3.376221+0 5.676263-4-2.658879+0 6.025596-4-2.073207+0 6.359125-4-1.643587+0 6.703397-4-1.299247+0 7.077070-4-1.021121+0 7.496329-4-7.673275-1 7.799739-4-6.332651-1 8.287766-4-4.643690-1 8.677966-4-3.721854-1 9.216000-4-2.807883-1 9.406705-4-2.528897-1 9.843607-4-2.078808-1 1.030758-3-1.842985-1 1.059254-3-1.753381-1 1.099639-3-1.706564-1 1.158527-3-1.743604-1 1.233815-3-1.888088-1 1.312706-3-2.206194-1 1.553767-3-3.508573-1 1.957385-3-6.070167-1 2.683799-3-1.106884+0 3.114987-3-1.469542+0 3.363730-3-1.756407+0 3.551839-3-2.062183+0 3.681132-3-2.365396+0 3.797541-3-2.779133+0 3.867490-3-3.175897+0 3.916978-3-3.639200+0 3.951293-3-4.206526+0 3.997960-3-5.213578+0 4.016201-3-5.319625+0 4.037747-3-5.063273+0 4.089143-3-3.839933+0 4.122936-3-3.290005+0 4.158396-3-2.903629+0 4.209436-3-2.506254+0 4.287327-3-2.070852+0 4.382596-3-1.688971+0 4.487071-3-1.377701+0 4.603890-3-1.108027+0 4.720274-3-8.909989-1 4.833096-3-7.222778-1 4.936486-3-5.918438-1 5.066374-3-4.546361-1 5.186192-3-3.487122-1 5.308844-3-2.559087-1 5.424690-3-1.806389-1 5.499345-3-1.368115-1 5.574000-3-9.664210-2 5.702120-3-3.595252-2 5.848268-3 2.424183-2 6.009014-3 8.125736-2 6.157460-3 1.262969-1 6.355138-3 1.792974-1 6.487978-3 2.081620-1 6.654197-3 2.392482-1 7.000163-3 2.885723-1 7.531790-3 3.365211-1 8.258443-3 3.707439-1 9.055639-3 3.815972-1 1.050058-2 3.690564-1 1.658654-2 2.435196-1 1.974591-2 1.928021-1 2.312957-2 1.514352-1 2.677252-2 1.180228-1 3.049478-2 9.227438-2 3.432615-2 7.191831-2 3.876592-2 5.396669-2 4.210939-2 4.325777-2 4.609812-2 3.287169-2 4.972359-2 2.509131-2 5.326711-2 1.871524-2 5.667584-2 1.349531-2 6.029948-2 8.751194-3 6.386548-2 4.708992-3 6.550243-2 3.047393-3 6.704129-2 1.571399-3 6.845400-2 2.843913-4 6.977641-2-8.613172-4 7.142826-2-2.209624-3 7.297026-2-3.403959-3 7.643723-2-5.857040-3 8.190451-2-9.187482-3 8.821789-2-1.241056-2 9.643775-2-1.580991-2 1.089557-1-1.973184-2 1.263101-1-2.351705-2 1.502912-1-2.690269-2 1.907582-1-3.016323-2 2.647814-1-3.289403-2 4.242613-1-3.484506-2 1.018885+0-3.591035-2 3.086391+0-3.610945-2 9.320751+0-3.613113-2 1.000000+1-3.612691-2 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 7.916773-2 1.068031-6 1.079178-1 1.135826-6 1.452151-1 1.171321-6 1.689762-1 1.207924-6 1.970835-1 1.245672-6 2.304520-1 1.284599-6 2.702235-1 1.324743-6 3.178044-1 1.363681-6 3.713456-1 1.401402-6 4.312948-1 1.437944-6 4.981611-1 1.473345-6 5.724805-1 1.507639-6 6.548146-1 1.540861-6 7.457254-1 1.573045-6 8.457806-1 1.604224-6 9.557022-1 1.634428-6 1.076202+0 1.663688-6 1.208010+0 1.692034-6 1.351894+0 1.719494-6 1.508661+0 1.746096-6 1.679158+0 1.771866-6 1.864276+0 1.796831-6 2.064949+0 1.821016-6 2.282156+0 1.844446-6 2.516931+0 1.867143-6 2.770564+0 1.889131-6 3.045435+0 1.920000-6 3.484811+0 1.951057-6 3.995942+0 1.970422-6 4.358525+0 1.989183-6 4.748860+0 2.007357-6 5.167827+0 2.024963-6 5.617512+0 2.048000-6 6.278625+0 2.074549-6 7.153181+0 2.090055-6 7.731607+0 2.105077-6 8.349990+0 2.119629-6 9.011120+0 2.133727-6 9.716797+0 2.160614-6 1.126045+1 2.186248-6 1.302165+1 2.210280-6 1.500101+1 2.232809-6 1.722060+1 2.253931-6 1.970268+1 2.273732-6 2.247074+1 2.292296-6 2.554941+1 2.309700-6 2.896452+1 2.326016-6 3.274302+1 2.341312-6 3.691291+1 2.355652-6 4.150310+1 2.369096-6 4.654327+1 2.381700-6 5.206373+1 2.393515-6 5.809532+1 2.404593-6 6.466922+1 2.414978-6 7.181681+1 2.424714-6 7.956953+1 2.433841-6 8.795869+1 2.442399-6 9.701537+1 2.450421-6 1.067703+2 2.457942-6 1.172542+2 2.464992-6 1.284973+2 2.471602-6 1.405303+2 2.477799-6 1.533838+2 2.483609-6 1.670892+2 2.489056-6 1.816790+2 2.494162-6 1.971881+2 2.498949-6 2.136546+2 2.503437-6 2.311208+2 2.507644-6 2.496329+2 2.511588-6 2.692395+2 2.515286-6 2.899893+2 2.522220-6 3.367298+2 2.528287-6 3.887780+2 2.533595-6 4.460480+2 2.538240-6 5.080494+2 2.542304-6 5.739066+2 2.545860-6 6.424615+2 2.548972-6 7.124142+2 2.551695-6 7.824615+2 2.554077-6 8.514063+2 2.558247-6 9.916809+2 2.563719-6 1.220224+3 2.580246-6 2.316905+3 2.583409-6 2.610694+3 2.588155-6 3.106624+3 2.592182-6 3.578939+3 2.596092-6 4.080321+3 2.602466-6 4.976158+3 2.604657-6 5.302045+3 2.609637-6 6.064250+3 2.613123-6 6.605450+3 2.616011-6 7.050992+3 2.618812-6 7.474705+3 2.621958-6 7.933641+3 2.624585-6 8.297632+3 2.627963-6 8.731722+3 2.630752-6 9.055002+3 2.634001-6 9.384343+3 2.638471-6 9.741484+3 2.641297-6 9.903722+3 2.645186-6 1.004025+4 2.647318-6 1.007094+4 2.653756-6 9.971717+3 2.655471-6 9.897509+3 2.660233-6 9.592504+3 2.662777-6 9.373972+3 2.666209-6 9.024795+3 2.669806-6 8.600384+3 2.671951-6 8.323544+3 2.675016-6 7.902912+3 2.678218-6 7.439408+3 2.682144-6 6.849695+3 2.685331-6 6.363259+3 2.686925-6 6.120010+3 2.690510-6 5.578086+3 2.693106-6 5.194419+3 2.696256-6 4.743056+3 2.698877-6 4.382429+3 2.705251-6 3.573782+3 2.708737-6 3.177486+3 2.714015-6 2.642978+3 2.720922-6 2.061874+3 2.731999-6 1.382082+3 2.735665-6 1.215033+3 2.739317-6 1.072316+3 2.742954-6 9.507554+2 2.746578-6 8.473978+2 2.750187-6 7.595577+2 2.753782-6 6.848422+2 2.757363-6 6.211550+2 2.760930-6 5.666878+2 2.764483-6 5.199014+2 2.768022-6 4.795004+2 2.775073-6 4.136131+2 2.782068-6 3.626388+2 2.789009-6 3.221691+2 2.795896-6 2.892772+2 2.802729-6 2.620072+2 2.809508-6 2.390272+2 2.816235-6 2.194047+2 2.822909-6 2.024665+2 2.829530-6 1.877120+2 2.836101-6 1.747589+2 2.842619-6 1.633088+2 2.849087-6 1.531248+2 2.861922-6 1.357664+2 2.874556-6 1.216247+2 2.886993-6 1.099157+2 2.899235-6 1.000906+2 2.911286-6 9.175302+1 2.923149-6 8.460823+1 2.934826-6 7.843265+1 2.946321-6 7.305370+1 2.957637-6 6.833544+1 2.968775-6 6.416854+1 2.990704-6 5.710065+1 3.011948-6 5.139813+1 3.032528-6 4.671819+1 3.052465-6 4.282471+1 3.071779-6 3.954535+1 3.090489-6 3.675350+1 3.108614-6 3.435521+1 3.126173-6 3.227664+1 3.160194-6 2.879888+1 3.192089-6 2.606207+1 3.221990-6 2.390029+1 3.250022-6 2.226352+1 3.670505-6 6.422389+0 3.691739-6 5.460885+0 3.698550-6 5.217948+0 3.703090-6 5.092934+0 3.705360-6 5.044475+0 3.707631-6 5.006771+0 3.711555-6 4.970083+0 3.716712-6 4.984826+0 3.718982-6 5.016839+0 3.725793-6 5.218745+0 3.726974-6 5.271138+0 3.730518-6 5.461228+0 3.734874-6 5.765175+0 3.737996-6 6.032239+0 3.740976-6 6.326142+0 3.745260-6 6.815436+0 3.749848-6 7.424642+0 3.764835-6 9.952587+0 3.771199-6 1.120947+1 3.776307-6 1.225810+1 3.781415-6 1.331608+1 3.788368-6 1.472575+1 3.790496-6 1.514169+1 3.798442-6 1.658977+1 3.801564-6 1.710136+1 3.807523-6 1.796743+1 3.809794-6 1.825535+1 3.813199-6 1.864061+1 3.816605-6 1.896782+1 3.818875-6 1.915294+1 3.822848-6 1.941261+1 3.825828-6 1.955374+1 3.830297-6 1.968082+1 3.834767-6 1.971004+1 3.841578-6 1.958051+1 3.843848-6 1.949474+1 3.848389-6 1.926648+1 3.852929-6 1.897133+1 3.859069-6 1.848525+1 3.866859-6 1.776354+1 3.875994-6 1.683276+1 3.904980-6 1.396654+1 3.914162-6 1.321490+1 3.921981-6 1.265004+1 3.931225-6 1.206748+1 3.940469-6 1.156781+1 3.952642-6 1.101532+1 3.976228-6 1.019116+1 3.998339-6 9.604118+0 4.019069-6 9.150526+0 4.057937-6 8.451017+0 4.193975-6 6.499680+0 4.227984-6 6.000574+0 4.253491-6 5.586289+0 4.272621-6 5.231788+0 4.286969-6 4.929391+0 4.297730-6 4.678083+0 4.305800-6 4.475890+0 4.317906-6 4.155631+0 4.341656-6 3.544681+0 4.348004-6 3.415203+0 4.352651-6 3.339103+0 4.366765-6 3.250769+0 4.372643-6 3.298863+0 4.377461-6 3.384966+0 4.383301-6 3.552716+0 4.385729-6 3.644451+0 4.388156-6 3.749750+0 4.394454-6 4.088516+0 4.398118-6 4.330385+0 4.399867-6 4.457576+0 4.405920-6 4.956194+0 4.415156-6 5.884314+0 4.424991-6 7.066166+0 4.430939-6 7.854739+0 4.436287-6 8.594910+0 4.441634-6 9.350287+0 4.447749-6 1.021359+1 4.449081-6 1.039955+1 4.456076-6 1.134921+1 4.459740-6 1.182131+1 4.469067-6 1.290866+1 4.472731-6 1.328075+1 4.479726-6 1.388948+1 4.484413-6 1.421664+1 4.487087-6 1.437295+1 4.491767-6 1.459242+1 4.495277-6 1.471179+1 4.500543-6 1.481930+1 4.505808-6 1.484406+1 4.511703-6 1.478014+1 4.519404-6 1.456669+1 4.527199-6 1.422550+1 4.533021-6 1.390626+1 4.537895-6 1.360692+1 4.543680-6 1.322420+1 4.559286-6 1.212484+1 4.580447-6 1.070961+1 4.589037-6 1.020951+1 4.597359-6 9.775162+0 4.613483-6 9.071890+0 4.628599-6 8.558150+0 4.642771-6 8.176570+0 4.669342-6 7.638549+0 4.692592-6 7.285320+0 4.733280-6 6.807801+0 4.794311-6 6.257233+0 4.867293-6 5.697522+0 4.903145-6 5.411001+0 4.927047-6 5.198023+0 4.961987-6 4.864633+0 4.984197-6 4.680783+0 4.998752-6 4.601363+0 5.010840-6 4.574391+0 5.023053-6 4.591740+0 5.027352-6 4.609478+0 5.034875-6 4.655396+0 5.040518-6 4.702027+0 5.053213-6 4.841928+0 5.071907-6 5.113602+0 5.084120-6 5.309145+0 5.096333-6 5.496873+0 5.108547-6 5.658914+0 5.114083-6 5.719901+0 5.122387-6 5.793837+0 5.130691-6 5.844882+0 5.137939-6 5.870026+0 5.145187-6 5.877276+0 5.157400-6 5.851619+0 5.169613-6 5.784891+0 5.181826-6 5.686554+0 5.203939-6 5.460189+0 5.246719-6 4.995235+0 5.259633-6 4.871938+0 5.272547-6 4.762031+0 5.285461-6 4.667637+0 5.298375-6 4.590518+0 5.311289-6 4.531818+0 5.320686-6 4.500768+0 5.334782-6 4.471392+0 5.348877-6 4.459064+0 5.388774-6 4.454317+0 5.402387-6 4.438359+0 5.412822-6 4.414741+0 5.431257-6 4.346054+0 5.450386-6 4.243730+0 5.477991-6 4.079375+0 5.492087-6 4.011853+0 5.505001-6 3.973127+0 5.511735-6 3.964389+0 5.518468-6 3.964613+0 5.529340-6 3.985287+0 5.537494-6 4.017787+0 5.549724-6 4.093251+0 5.561955-6 4.197654+0 5.575252-6 4.336878+0 5.601846-6 4.651725+0 5.615144-6 4.802092+0 5.623033-6 4.882332+0 5.630922-6 4.953418+0 5.638619-6 5.012475+0 5.650165-6 5.079881+0 5.661710-6 5.120630+0 5.678448-6 5.133790+0 5.691863-6 5.109877+0 5.705279-6 5.061950+0 5.722771-6 4.975013+0 5.783399-6 4.628307+0 5.816061-6 4.475543+0 5.862533-6 4.303627+0 5.977381-6 3.962697+0 6.031092-6 3.788199+0 6.076648-6 3.635221+0 6.102778-6 3.568325+0 6.121409-6 3.541891+0 6.136756-6 3.537964+0 6.147132-6 3.545468+0 6.163336-6 3.573689+0 6.179540-6 3.620067+0 6.225850-6 3.803063+0 6.240770-6 3.856856+0 6.259852-6 3.907013+0 6.277781-6 3.928727+0 6.292194-6 3.926441+0 6.300451-6 3.917342+0 6.315371-6 3.887783+0 6.330291-6 3.843987+0 6.360132-6 3.729793+0 6.402535-6 3.563849+0 6.423607-6 3.501841+0 6.440196-6 3.467647+0 6.458438-6 3.445418+0 6.471438-6 3.438458+0 6.502680-6 3.442755+0 6.534147-6 3.456394+0 6.560462-6 3.458639+0 6.598163-6 3.436952+0 6.680187-6 3.348418+0 6.720345-6 3.315880+0 6.925747-6 3.181802+0 7.012946-6 3.107520+0 7.114769-6 3.015907+0 7.218347-6 2.950612+0 7.476211-6 2.811595+0 8.445000-6 2.346276+0 9.429952-6 1.986639+0 9.924418-6 1.832082+0 1.122018-5 1.493524+0 1.260420-5 1.196212+0 1.357853-5 1.011329+0 1.424204-5 8.994701-1 1.479108-5 8.132599-1 1.515000-5 7.615388-1 1.641569-5 6.057987-1 1.680399-5 5.699689-1 1.702917-5 5.525353-1 1.725083-5 5.378710-1 1.746903-5 5.261562-1 1.768382-5 5.176632-1 1.789526-5 5.126486-1 1.810339-5 5.112282-1 1.830826-5 5.133882-1 1.850994-5 5.191483-1 1.860920-5 5.234436-1 1.874100-5 5.308338-1 1.890236-5 5.427068-1 1.920000-5 5.701933-1 1.932904-5 5.796062-1 1.949073-5 5.861844-1 1.967322-5 5.922714-1 1.980000-5 5.994405-1 1.994164-5 6.117892-1 2.002971-5 6.220118-1 2.020449-5 6.484164-1 2.037654-5 6.828323-1 2.054590-5 7.255953-1 2.071261-5 7.771001-1 2.089296-5 8.442164-1 2.103827-5 9.076927-1 2.119729-5 9.878037-1 2.135382-5 1.078411+0 2.160000-5 1.245465+0 2.180891-5 1.413187+0 2.195589-5 1.547890+0 2.224525-5 1.856637+0 2.252557-5 2.216852+0 2.306021-5 3.109780+0 2.403283-5 5.693178+0 2.468539-5 8.464152+0 2.527866-5 1.211040+1 2.570396-5 1.566922+1 2.615011-5 2.055482+1 2.646175-5 2.491001+1 2.677188-5 3.027511+1 2.698641-5 3.472193+1 2.715954-5 3.884279+1 2.733750-5 4.366779+1 2.754229-5 5.009213+1 2.775491-5 5.794664+1 2.797120-5 6.746056+1 2.817397-5 7.811387+1 2.836511-5 9.007167+1 2.854229-5 1.032221+2 2.870937-5 1.178793+2 2.886601-5 1.340734+2 2.902038-5 1.528987+2 2.915052-5 1.714772+2 2.928572-5 1.940004+2 2.940059-5 2.162752+2 2.951402-5 2.417202+2 2.962037-5 2.693416+2 2.972007-5 2.992479+2 2.981354-5 3.315470+2 2.990117-5 3.663473+2 2.998332-5 4.037586+2 3.006033-5 4.438927+2 3.013253-5 4.868661+2 3.020022-5 5.328021+2 3.026368-5 5.818359+2 3.032318-5 6.341195+2 3.037895-5 6.898263+2 3.043606-5 7.550123+2 3.048026-5 8.123106+2 3.052622-5 8.795236+2 3.056930-5 9.510031+2 3.065008-5 1.113166+3 3.072077-5 1.295087+3 3.078262-5 1.496006+3 3.083674-5 1.713464+3 3.088409-5 1.943587+3 3.092553-5 2.181642+3 3.096178-5 2.422652+3 3.102126-5 2.895304+3 3.108806-5 3.560994+3 3.124638-5 5.855141+3 3.129997-5 6.894825+3 3.136923-5 8.445316+3 3.141053-5 9.475989+3 3.148746-5 1.158109+4 3.149708-5 1.185850+4 3.156439-5 1.386261+4 3.159084-5 1.466918+4 3.164865-5 1.643543+4 3.168638-5 1.756780+4 3.170438-5 1.809637+4 3.173140-5 1.886925+4 3.177333-5 2.000790+4 3.180923-5 2.090838+4 3.184885-5 2.180562+4 3.188266-5 2.247954+4 3.191935-5 2.310559+4 3.196093-5 2.367309+4 3.201023-5 2.414142+4 3.205135-5 2.435996+4 3.209751-5 2.442234+4 3.214486-5 2.429519+4 3.219568-5 2.396135+4 3.224156-5 2.350439+4 3.228591-5 2.294197+4 3.231669-5 2.249190+4 3.236906-5 2.163316+4 3.242785-5 2.055909+4 3.245591-5 2.001540+4 3.249801-5 1.917180+4 3.255472-5 1.799707+4 3.259857-5 1.706991+4 3.265100-5 1.595111+4 3.272803-5 1.430861+4 3.278903-5 1.302616+4 3.286738-5 1.142700+4 3.293095-5 1.018717+4 3.298957-5 9.102719+3 3.300912-5 8.755667+3 3.308729-5 7.448204+3 3.318060-5 6.072491+3 3.331300-5 4.486880+3 3.341334-5 3.561634+3 3.346065-5 3.200338+3 3.350647-5 2.891551+3 3.355087-5 2.627725+3 3.359388-5 2.402130+3 3.363554-5 2.208873+3 3.368472-5 2.009135+3 3.375410-5 1.772154+3 3.382742-5 1.568397+3 3.389615-5 1.411839+3 3.396058-5 1.288952+3 3.402099-5 1.190497+3 3.407762-5 1.110131+3 3.418920-5 9.780584+2 3.427672-5 8.931060+2 3.435802-5 8.253304+2 3.442916-5 7.731192+2 3.455365-5 6.944777+2 3.464701-5 6.440631+2 3.478706-5 5.792054+2 3.492711-5 5.245666+2 3.503216-5 4.889260+2 3.520419-5 4.384356+2 3.537622-5 3.956916+2 3.561486-5 3.458991+2 3.611195-5 2.648550+2 3.628972-5 2.414896+2 3.637861-5 2.310681+2 3.646749-5 2.216242+2 3.656052-5 2.128906+2 3.666645-5 2.044604+2 3.674796-5 1.990736+2 3.682303-5 1.949130+2 3.692545-5 1.903376+2 3.701567-5 1.871792+2 3.712874-5 1.840670+2 3.728771-5 1.806363+2 3.760232-5 1.746311+2 3.784466-5 1.695386+2 3.821721-5 1.608851+2 3.879879-5 1.479947+2 3.922607-5 1.400878+2 3.967041-5 1.331566+2 4.024347-5 1.253940+2 4.105827-5 1.160355+2 4.164862-5 1.101945+2 4.233038-5 1.042813+2 4.315191-5 9.808387+1 4.413051-5 9.164795+1 4.503533-5 8.656148+1 4.597346-5 8.184897+1 4.701256-5 7.724272+1 4.901816-5 6.981032+1 5.106845-5 6.360678+1 5.331633-5 5.786897+1 5.509555-5 5.344105+1 5.580000-5 5.116198+1 5.628736-5 4.927039+1 5.656445-5 4.842659+1 5.670299-5 4.820782+1 5.684153-5 4.818753+1 5.698008-5 4.839889+1 5.707916-5 4.869903+1 5.722778-5 4.936855+1 5.737640-5 5.025057+1 5.767280-5 5.225562+1 5.781134-5 5.309380+1 5.794989-5 5.374764+1 5.805736-5 5.409017+1 5.821032-5 5.430391+1 5.834589-5 5.423302+1 5.849021-5 5.393122+1 5.877475-5 5.292395+1 5.906957-5 5.180816+1 5.923442-5 5.131533+1 5.952410-5 5.075976+1 5.986467-5 5.048456+1 6.098313-5 4.996529+1 6.167130-5 4.957668+1 6.553600-5 4.783006+1 6.904743-5 4.682404+1 7.413102-5 4.614718+1 7.931859-5 4.619275+1 8.511380-5 4.680975+1 9.018893-5 4.768860+1 9.500000-5 4.869331+1 1.212037-4 5.442960+1 1.273503-4 5.564369+1 1.382000-4 5.745092+1 1.511395-4 5.908068+1 1.669168-4 6.034019+1 1.808204-4 6.073476+1 1.983076-4 6.041803+1 2.159506-4 5.926850+1 2.338332-4 5.732992+1 2.454709-4 5.547956+1 2.598317-4 5.257445+1 2.744560-4 4.889467+1 2.889744-4 4.445501+1 2.986823-4 4.097960+1 3.074222-4 3.750132+1 3.144595-4 3.440589+1 3.199749-4 3.179377+1 3.257547-4 2.887537+1 3.313494-4 2.587322+1 3.351716-4 2.371489+1 3.387550-4 2.161040+1 3.421955-4 1.952182+1 3.452639-4 1.760830+1 3.482165-4 1.572871+1 3.509845-4 1.394179+1 3.535796-4 1.225612+1 3.557806-4 1.083033+1 3.576797-4 9.613281+0 3.598318-4 8.262952+0 3.618493-4 7.042374+0 3.632110-4 6.254972+0 3.637408-4 5.958807+0 3.651741-4 5.192538+0 3.664282-4 4.573091+0 3.686618-4 3.625471+0 3.695936-4 3.303016+0 3.701046-4 3.147057+0 3.707923-4 2.961837+0 3.714586-4 2.810109+0 3.721040-4 2.689190+0 3.727293-4 2.595828+0 3.733350-4 2.526328+0 3.739218-4 2.476735+0 3.744903-4 2.443051+0 3.753077-4 2.414136+0 3.763337-4 2.399101+0 3.782335-4 2.394642+0 3.787736-4 2.397156+0 3.793891-4 2.406183+0 3.799793-4 2.426808+0 3.803585-4 2.450162+0 3.807258-4 2.483611+0 3.810817-4 2.529372+0 3.814264-4 2.589751+0 3.817603-4 2.667119+0 3.820838-4 2.763902+0 3.823972-4 2.882563+0 3.827008-4 3.025593+0 3.829950-4 3.195497+0 3.832799-4 3.394776+0 3.835559-4 3.625910+0 3.837280-4 3.791712+0 3.840907-4 4.203994+0 3.845921-4 4.943251+0 3.850621-4 5.861271+0 3.855028-4 6.972880+0 3.859224-4 8.312728+0 3.863032-4 9.818123+0 3.866663-4 1.156196+1 3.870067-4 1.351941+1 3.876250-4 1.804811+1 3.886614-4 2.939328+1 3.894703-4 4.276711+1 3.900896-4 5.659317+1 3.905764-4 7.014607+1 3.910962-4 8.768122+1 3.915409-4 1.055450+2 3.920054-4 1.273705+2 3.925250-4 1.560251+2 3.929002-4 1.797481+2 3.932701-4 2.057920+2 3.936018-4 2.314913+2 3.940841-4 2.729846+2 3.942048-4 2.841427+2 3.948382-4 3.479007+2 3.951700-4 3.847536+2 3.953963-4 4.112229+2 3.958562-4 4.682287+2 3.961389-4 5.052873+2 3.967925-4 5.962053+2 3.971768-4 6.525238+2 3.975654-4 7.111171+2 3.980653-4 7.880144+2 3.983665-4 8.347025+2 3.988352-4 9.070509+2 3.992933-4 9.763717+2 3.996796-4 1.032879+3 4.001679-4 1.100609+3 4.006730-4 1.164931+3 4.011257-4 1.216455+3 4.016460-4 1.267291+3 4.020922-4 1.302897+3 4.025214-4 1.329631+3 4.030121-4 1.350726+3 4.034092-4 1.360233+3 4.039167-4 1.362533+3 4.043071-4 1.356939+3 4.051773-4 1.322819+3 4.056708-4 1.291427+3 4.062200-4 1.247697+3 4.065730-4 1.215355+3 4.070898-4 1.163050+3 4.076656-4 1.099306+3 4.082850-4 1.026319+3 4.088522-4 9.572757+2 4.093729-4 8.933760+2 4.100370-4 8.128955+2 4.106807-4 7.375837+2 4.116422-4 6.329950+2 4.135200-4 4.654542+2 4.139750-4 4.329608+2 4.144906-4 3.999461+2 4.150750-4 3.672468+2 4.157000-4 3.374957+2 4.164003-4 3.100199+2 4.169258-4 2.930511+2 4.172411-4 2.842209+2 4.176307-4 2.745833+2 4.180203-4 2.662312+2 4.185061-4 2.574262+2 4.193250-4 2.460105+2 4.200000-4 2.392189+2 4.208117-4 2.334352+2 4.222041-4 2.276756+2 4.236371-4 2.249540+2 4.253256-4 2.236473+2 4.345982-4 2.213968+2 4.391674-4 2.207192+2 4.623822-4 2.201359+2 4.682509-4 2.193421+2 4.728695-4 2.179003+2 4.792752-4 2.148757+2 4.819357-4 2.143279+2 4.840517-4 2.150260+2 4.857192-4 2.166005+2 4.869815-4 2.184656+2 4.891600-4 2.229605+2 4.936727-4 2.349969+2 4.965214-4 2.419540+2 4.981386-4 2.451438+2 5.002483-4 2.484392+2 5.026408-4 2.512150+2 5.084325-4 2.557289+2 5.154213-4 2.597745+2 5.225803-4 2.631394+2 5.416498-4 2.703011+2 5.685490-4 2.769419+2 6.007331-4 2.829125+2 6.375214-4 2.872422+2 6.588317-4 2.891714+2 7.121735-4 2.916811+2 7.497263-4 2.917806+2 8.372601-4 2.886163+2 9.240403-4 2.844098+2 1.040369-3 2.765904+2 1.175532-3 2.673564+2 1.351883-3 2.542628+2 1.555200-3 2.404529+2 1.818985-3 2.232756+2 1.983308-3 2.138890+2 2.230581-3 2.001802+2 2.331717-3 1.949767+2 2.635004-3 1.798772+2 2.847418-3 1.698462+2 2.964218-3 1.645751+2 3.194942-3 1.542495+2 3.331131-3 1.482427+2 3.457480-3 1.426824+2 3.571507-3 1.376911+2 3.671172-3 1.331987+2 3.760627-3 1.290834+2 3.838850-3 1.253772+2 3.910947-3 1.218007+2 3.970135-3 1.187159+2 4.019648-3 1.160056+2 4.068171-3 1.132023+2 4.107150-3 1.108146+2 4.150735-3 1.079459+2 4.184629-3 1.055228+2 4.217919-3 1.029272+2 4.248215-3 1.003167+2 4.277430-3 9.748192+1 4.301727-3 9.477548+1 4.322712-3 9.206997+1 4.340034-3 8.950063+1 4.356772-3 8.668947+1 4.380264-3 8.227117+1 4.410906-3 7.648101+1 4.424938-3 7.435888+1 4.435094-3 7.323753+1 4.446847-3 7.249735+1 4.456277-3 7.239206+1 4.466766-3 7.280918+1 4.473059-3 7.332404+1 4.479872-3 7.409109+1 4.492265-3 7.597878+1 4.508140-3 7.909650+1 4.541048-3 8.649413+1 4.552303-3 8.891369+1 4.563127-3 9.107647+1 4.571779-3 9.267074+1 4.584934-3 9.485660+1 4.597561-3 9.669485+1 4.610484-3 9.833954+1 4.634355-3 1.008636+2 4.655336-3 1.026658+2 4.693765-3 1.052917+2 4.717552-3 1.066082+2 4.747279-3 1.080081+2 4.807612-3 1.102128+2 4.889380-3 1.122646+2 4.981060-3 1.137054+2 5.055760-3 1.144359+2 5.175423-3 1.150369+2 5.308300-3 1.150511+2 5.449062-3 1.145715+2 5.700902-3 1.128532+2 5.981900-3 1.101939+2 6.256355-3 1.071938+2 6.623549-3 1.029972+2 7.101366-3 9.754136+1 7.704242-3 9.093956+1 8.629492-3 8.186209+1 9.699696-3 7.296929+1 1.081871-2 6.516148+1 1.167646-2 5.998585+1 1.302433-2 5.295985+1 1.448238-2 4.657122+1 1.603068-2 4.084742+1 1.764022-2 3.582941+1 1.947477-2 3.107332+1 2.168759-2 2.644151+1 2.481256-2 2.145617+1 2.991293-2 1.591394+1 3.917302-2 1.029114+1 4.766957-2 7.433485+0 5.699419-2 5.497617+0 6.651056-2 4.207029+0 7.709070-2 3.238032+0 9.725022-2 2.122856+0 1.138599-1 1.586074+0 1.482126-1 9.643868-1 1.976373-1 5.562696-1 2.622709-1 3.215502-1 3.666797-1 1.667190-1 5.787620-1 6.755053-2 1.228714+0 1.506636-2 3.710658+0 1.654269-3 1.120601+1 1.814146-4 3.384160+1 1.989204-5 1.022000+2 2.181123-6 3.086391+2 2.391554-7 9.320751+2 2.622287-8 3.162278+3 2.278149-9 1.000000+4 2.27815-10 3.162278+4 2.27815-11 1.000000+5 2.27815-12 1 21000 7 7 4.495800+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.466800-6 1.258900-6 2.324700-6 1.584900-6 3.684400-6 1.995300-6 5.839300-6 2.511900-6 9.254700-6 3.162300-6 1.466800-5 3.981100-6 2.324700-5 5.011900-6 3.684300-5 6.309600-6 5.839200-5 7.943300-6 9.254400-5 1.000000-5 1.466700-4 1.258900-5 2.324500-4 1.584900-5 3.682300-4 1.995300-5 5.832300-4 2.511900-5 9.238600-4 3.162300-5 1.463600-3 3.981100-5 2.319000-3 5.011900-5 3.674500-3 6.309600-5 5.822400-3 7.943300-5 9.210900-3 1.000000-4 1.456500-2 1.258900-4 2.302900-2 1.584900-4 3.631500-2 1.995300-4 5.715300-2 2.511900-4 8.954500-2 3.162300-4 1.393800-1 3.981100-4 2.147700-1 5.011900-4 3.262500-1 6.309600-4 4.849200-1 7.943300-4 6.996000-1 1.000000-3 9.722800-1 1.258900-3 1.295700+0 1.584900-3 1.663500+0 1.995300-3 2.085800+0 2.511900-3 2.585600+0 3.162300-3 3.186000+0 3.981100-3 3.879000+0 5.011900-3 4.653000+0 6.309600-3 5.480800+0 7.943300-3 6.314000+0 1.000000-2 7.106900+0 1.258900-2 7.853800+0 1.584900-2 8.562500+0 1.995300-2 9.207500+0 2.511900-2 9.680700+0 3.162300-2 1.011400+1 3.981100-2 1.033600+1 5.011900-2 1.041600+1 6.309600-2 1.036000+1 7.943300-2 1.017000+1 1.000000-1 9.854300+0 1.258900-1 9.437000+0 1.584900-1 8.942100+0 1.995300-1 8.390900+0 2.511900-1 7.808400+0 3.162300-1 7.212800+0 3.981100-1 6.618900+0 5.011900-1 6.037200+0 6.309600-1 5.475400+0 7.943300-1 4.937400+0 1.000000+0 4.426300+0 1.258900+0 3.944400+0 1.584900+0 3.493200+0 1.995300+0 3.074300+0 2.511900+0 2.688900+0 3.162300+0 2.337400+0 3.981100+0 2.020100+0 5.011900+0 1.736200+0 6.309600+0 1.484500+0 7.943300+0 1.263200+0 1.000000+1 1.070100+0 1.258900+1 9.029300-1 1.584900+1 7.590900-1 1.995300+1 6.360600-1 2.511900+1 5.313700-1 3.162300+1 4.427200-1 3.981100+1 3.679600-1 5.011900+1 3.051400-1 6.309600+1 2.525500-1 7.943300+1 2.086400-1 1.000000+2 1.720800-1 1.258900+2 1.417100-1 1.584900+2 1.165400-1 1.995300+2 9.571600-2 2.511900+2 7.852300-2 3.162300+2 6.434800-2 3.981100+2 5.267800-2 5.011900+2 4.308500-2 6.309600+2 3.520800-2 7.943300+2 2.874800-2 1.000000+3 2.345500-2 1.258900+3 1.912200-2 1.584900+3 1.558000-2 1.995300+3 1.268500-2 2.511900+3 1.032200-2 3.162300+3 8.394300-3 3.981100+3 6.822900-3 5.011900+3 5.542700-3 6.309600+3 4.500500-3 7.943300+3 3.652500-3 1.000000+4 2.962900-3 1.258900+4 2.402500-3 1.584900+4 1.947200-3 1.995300+4 1.577600-3 2.511900+4 1.277700-3 3.162300+4 1.034400-3 3.981100+4 8.371000-4 5.011900+4 6.772200-4 6.309600+4 5.476900-4 7.943300+4 4.427900-4 1.000000+5 3.578700-4 1 21000 7 7 4.495800+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510165-4 3.162278-4 3.159557-4 3.981072-4 3.976776-4 5.011872-4 5.005101-4 6.309573-4 6.298931-4 7.943282-4 7.926619-4 1.000000-3 9.973994-4 1.258925-3 1.254889-3 1.584893-3 1.578645-3 1.995262-3 1.985546-3 2.511886-3 2.496664-3 3.162278-3 3.138426-3 3.981072-3 3.943656-3 5.011872-3 4.953329-3 6.309573-3 6.218303-3 7.943282-3 7.801669-3 1.000000-2 9.781181-3 1.258925-2 1.225143-2 1.584893-2 1.532730-2 1.995262-2 1.914845-2 2.511886-2 2.388230-2 3.162278-2 2.974038-2 3.981072-2 3.695423-2 5.011872-2 4.580478-2 6.309573-2 5.661690-2 7.943282-2 6.977501-2 1.000000-1 8.571962-2 1.258925-1 1.049668-1 1.584893-1 1.280807-1 1.995262-1 1.557642-1 2.511886-1 1.887657-1 3.162278-1 2.279762-1 3.981072-1 2.744152-1 5.011872-1 3.292656-1 6.309573-1 3.938580-1 7.943282-1 4.698854-1 1.000000+0 5.593534-1 1.258925+0 6.647540-1 1.584893+0 7.890917-1 1.995262+0 9.361813-1 2.511886+0 1.110720+0 3.162278+0 1.318415+0 3.981072+0 1.566331+0 5.011872+0 1.863086+0 6.309573+0 2.219248+0 7.943282+0 2.647728+0 1.000000+1 3.164289+0 1.258925+1 3.788312+0 1.584893+1 4.543404+0 1.995262+1 5.458593+0 2.511886+1 6.569327+0 3.162278+1 7.919261+0 3.981072+1 9.561718+0 5.011872+1 1.156245+1 6.309573+1 1.400210+1 7.943282+1 1.697969+1 1.000000+2 2.061706+1 1.258925+2 2.506432+1 1.584893+2 3.050595+1 1.995262+2 3.716912+1 2.511886+2 4.533428+1 3.162278+2 5.534684+1 3.981072+2 6.763128+1 5.011872+2 8.271459+1 6.309573+2 1.012439+2 7.943282+2 1.240193+2 1.000000+3 1.520274+2 1.258925+3 1.864944+2 1.584893+3 2.289232+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88196-10 1.995262-5 1.090625-9 2.511886-5 1.728496-9 3.162278-5 2.739513-9 3.981072-5 4.341884-9 5.011872-5 6.881405-9 6.309573-5 1.090598-8 7.943282-5 1.727644-8 1.000000-4 2.737316-8 1.258925-4 4.337417-8 1.584893-4 6.868542-8 1.995262-4 1.087561-7 2.511886-4 1.720981-7 3.162278-4 2.720809-7 3.981072-4 4.295676-7 5.011872-4 6.771195-7 6.309573-4 1.064232-6 7.943282-4 1.666352-6 1.000000-3 2.600561-6 1.258925-3 4.036423-6 1.584893-3 6.248536-6 1.995262-3 9.716733-6 2.511886-3 1.522225-5 3.162278-3 2.385205-5 3.981072-3 3.741609-5 5.011872-3 5.854342-5 6.309573-3 9.127087-5 7.943282-3 1.416135-4 1.000000-2 2.188185-4 1.258925-2 3.378228-4 1.584893-2 5.216273-4 1.995262-2 8.041688-4 2.511886-2 1.236561-3 3.162278-2 1.882399-3 3.981072-2 2.856491-3 5.011872-2 4.313948-3 6.309573-2 6.478835-3 7.943282-2 9.657818-3 1.000000-1 1.428038-2 1.258925-1 2.092578-2 1.584893-1 3.040859-2 1.995262-1 4.376207-2 2.511886-1 6.242290-2 3.162278-1 8.825159-2 3.981072-1 1.236920-1 5.011872-1 1.719216-1 6.309573-1 2.370993-1 7.943282-1 3.244428-1 1.000000+0 4.406466-1 1.258925+0 5.941714-1 1.584893+0 7.958015-1 1.995262+0 1.059081+0 2.511886+0 1.401167+0 3.162278+0 1.843863+0 3.981072+0 2.414741+0 5.011872+0 3.148787+0 6.309573+0 4.090326+0 7.943282+0 5.295554+0 1.000000+1 6.835711+0 1.258925+1 8.800942+0 1.584893+1 1.130553+1 1.995262+1 1.449403+1 2.511886+1 1.854954+1 3.162278+1 2.370352+1 3.981072+1 3.024900+1 5.011872+1 3.855628+1 6.309573+1 4.909364+1 7.943282+1 6.245313+1 1.000000+2 7.938294+1 1.258925+2 1.008282+2 1.584893+2 1.279834+2 1.995262+2 1.623571+2 2.511886+2 2.058544+2 3.162278+2 2.608809+2 3.981072+2 3.304759+2 5.011872+2 4.184726+2 6.309573+2 5.297134+2 7.943282+2 6.703090+2 1.000000+3 8.479726+2 1.258925+3 1.072431+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.900000-6 7.022820+5 5.956621-6 6.513025+5 6.050000-6 5.697440+5 6.165950-6 4.814142+5 6.270000-6 4.124580+5 6.350000-6 3.654000+5 6.460000-6 3.081200+5 6.550000-6 2.669620+5 6.650000-6 2.266200+5 6.730000-6 1.980722+5 6.810000-6 1.724670+5 6.890000-6 1.495190+5 6.960000-6 1.314462+5 7.020000-6 1.173304+5 7.040000-6 1.128118+5 7.040000-6 9.141838+5 7.080000-6 9.138301+5 7.080000-6 1.442102+6 7.100000-6 1.444902+6 7.170000-6 1.455478+6 7.244360-6 1.468392+6 7.310000-6 1.481127+6 7.365000-6 1.492697+6 7.413102-6 1.503435+6 7.420000-6 1.504853+6 7.480000-6 1.517507+6 7.520000-6 1.526384+6 7.570000-6 1.537952+6 7.620000-6 1.550021+6 7.670000-6 1.562566+6 7.715000-6 1.574244+6 7.762471-6 1.586942+6 7.790000-6 1.593700+6 7.830000-6 1.603725+6 7.865000-6 1.612689+6 7.900000-6 1.621826+6 7.930000-6 1.629790+6 7.960000-6 1.637873+6 7.990000-6 1.646072+6 8.020000-6 1.654381+6 8.050000-6 1.662799+6 8.070000-6 1.668469+6 8.100000-6 1.677060+6 8.128305-6 1.685257+6 8.150000-6 1.691598+6 8.180000-6 1.700447+6 8.200000-6 1.706396+6 8.210000-6 1.709223+6 8.222426-6 1.712744+6 8.240000-6 1.717538+6 8.290000-6 1.731324+6 8.310000-6 1.736898+6 8.330000-6 1.742506+6 8.345000-6 1.746732+6 8.357000-6 1.750127+6 8.369000-6 1.753533+6 8.380000-6 1.756665+6 8.390000-6 1.759520+6 8.400000-6 1.762383+6 8.410000-6 1.765253+6 8.420000-6 1.768131+6 8.430000-6 1.771016+6 8.440000-6 1.773908+6 8.450000-6 1.776808+6 8.460000-6 1.779715+6 8.470000-6 1.782628+6 8.480000-6 1.785549+6 8.490000-6 1.788477+6 8.502000-6 1.791999+6 8.515000-6 1.795826+6 8.527000-6 1.799368+6 8.542000-6 1.803810+6 8.560000-6 1.809158+6 8.585000-6 1.816621+6 8.609938-6 1.824102+6 8.650000-6 1.835595+6 8.680000-6 1.844258+6 8.709636-6 1.852863+6 8.710000-6 1.852965+6 8.740000-6 1.861400+6 8.770000-6 1.869877+6 8.800000-6 1.878396+6 8.830000-6 1.886954+6 8.865000-6 1.896988+6 8.900000-6 1.907071+6 8.930000-6 1.915753+6 8.960000-6 1.924468+6 9.000000-6 1.936140+6 9.035000-6 1.946399+6 9.070000-6 1.956698+6 9.110000-6 1.968517+6 9.120108-6 1.971506+6 9.150000-6 1.979914+6 9.200000-6 1.994023+6 9.225714-6 2.001296+6 9.240000-6 2.005197+6 9.295000-6 2.020231+6 9.350000-6 2.035325+6 9.400000-6 2.049098+6 9.460000-6 2.065681+6 9.520000-6 2.082322+6 9.600000-6 2.104588+6 9.670000-6 2.124139+6 9.700000-6 2.132521+6 9.730000-6 2.140479+6 9.810000-6 2.161698+6 9.850000-6 2.172301+6 9.890000-6 2.182586+6 1.000000-5 2.210840+6 1.010000-5 2.236556+6 1.020000-5 2.262289+6 1.031000-5 2.290602+6 1.035142-5 2.301230+6 1.042000-5 2.317966+6 1.050000-5 2.337393+6 1.055000-5 2.349149+6 1.070000-5 2.384218+6 1.085000-5 2.419168+6 1.100000-5 2.453983+6 1.109175-5 2.475161+6 1.115000-5 2.487911+6 1.122018-5 2.503112+6 1.135011-5 2.530237+6 1.157000-5 2.575682+6 1.180000-5 2.622749+6 1.188502-5 2.639932+6 1.202264-5 2.666176+6 1.207000-5 2.674813+6 1.230269-5 2.716618+6 1.260000-5 2.769247+6 1.273503-5 2.792767+6 1.290000-5 2.819495+6 1.303167-5 2.840472+6 1.320000-5 2.865869+6 1.350000-5 2.910308+6 1.380384-5 2.954476+6 1.412538-5 2.996525+6 1.420000-5 3.005662+6 1.462177-5 3.056077+6 1.479108-5 3.075795+6 1.513561-5 3.111919+6 1.515000-5 3.113314+6 1.570000-5 3.165024+6 1.584893-5 3.178588+6 1.621810-5 3.207605+6 1.630000-5 3.213373+6 1.698244-5 3.259545+6 1.737801-5 3.280493+6 1.778279-5 3.298243+6 1.819701-5 3.315439+6 1.850000-5 3.324411+6 1.874100-5 3.329581+6 1.927525-5 3.340079+6 1.980000-5 3.344365+6 2.041738-5 3.343988+6 2.089296-5 3.338597+6 2.162719-5 3.324721+6 2.213095-5 3.310044+6 2.230000-5 3.303972+6 2.290868-5 3.282032+6 2.350000-5 3.255605+6 2.371374-5 3.244833+6 2.426610-5 3.217204+6 2.483133-5 3.184561+6 2.540973-5 3.148888+6 2.570396-5 3.131007+6 2.630268-5 3.090241+6 2.730000-5 3.020287+6 2.754229-5 3.002064+6 2.786121-5 2.978297+6 2.900000-5 2.891884+6 2.951209-5 2.851688+6 2.985383-5 2.824154+6 3.090295-5 2.742668+6 3.150000-5 2.695201+6 3.235937-5 2.627073+6 3.300000-5 2.578301+6 3.350000-5 2.539275+6 3.507519-5 2.419552+6 3.548134-5 2.390314+6 3.589219-5 2.360017+6 3.801894-5 2.209550+6 3.845918-5 2.179292+6 3.890451-5 2.149318+6 3.906000-5 2.138722+6 3.906000-5 4.394438+6 3.950000-5 4.275246+6 3.960000-5 4.246173+6 3.960000-5 5.366607+6 4.000000-5 5.214114+6 4.050000-5 5.017141+6 4.073803-5 4.924802+6 4.120975-5 4.741819+6 4.130000-5 4.707816+6 4.168694-5 4.562841+6 4.216965-5 4.386152+6 4.220000-5 4.375357+6 4.315191-5 4.052551+6 4.466836-5 3.606622+6 4.518559-5 3.471584+6 4.570882-5 3.346032+6 4.610000-5 3.256402+6 4.623810-5 3.226092+6 4.720000-5 3.032935+6 4.800000-5 2.893725+6 4.820000-5 2.861403+6 4.870000-5 2.784664+6 4.900000-5 2.742100+6 4.954502-5 2.668250+6 4.970000-5 2.648720+6 5.000000-5 2.612362+6 5.011872-5 2.598173+6 5.040000-5 2.566437+6 5.080000-5 2.523404+6 5.110000-5 2.493451+6 5.150000-5 2.455493+6 5.190000-5 2.419940+6 5.233200-5 2.383663+6 5.248075-5 2.372156+6 5.270000-5 2.355130+6 5.308844-5 2.326466+6 5.350000-5 2.298750+6 5.400000-5 2.267035+6 5.432503-5 2.248410+6 5.495409-5 2.214424+6 5.500000-5 2.212170+6 5.580000-5 2.173818+6 5.623413-5 2.156075+6 5.688529-5 2.129498+6 5.690000-5 2.128937+6 5.800000-5 2.092105+6 5.821032-5 2.085623+6 5.900000-5 2.064373+6 5.956621-5 2.049809+6 6.000000-5 2.040133+6 6.025596-5 2.034378+6 6.091000-5 2.020893+6 6.091000-5 2.453389+6 6.095369-5 2.452463+6 6.150000-5 2.441073+6 6.165950-5 2.438175+6 6.237348-5 2.426405+6 6.400000-5 2.400858+6 6.456542-5 2.392918+6 6.606934-5 2.374887+6 6.683439-5 2.367179+6 6.839116-5 2.352563+6 7.079458-5 2.334342+6 7.161434-5 2.328565+6 7.413102-5 2.312213+6 7.500000-5 2.306387+6 7.762471-5 2.290857+6 7.852356-5 2.285245+6 8.000000-5 2.275498+6 8.128305-5 2.267605+6 8.222426-5 2.260648+6 8.511380-5 2.240362+6 8.709636-5 2.222909+6 8.900000-5 2.207465+6 8.912509-5 2.206404+6 9.015711-5 2.196027+6 9.225714-5 2.175103+6 9.300000-5 2.168118+6 9.332543-5 2.164894+6 9.500000-5 2.146279+6 9.549926-5 2.140658+6 9.660509-5 2.128376+6 9.772372-5 2.115673+6 9.800000-5 2.112209+6 1.000000-4 2.087726+6 1.011579-4 2.073585+6 1.023293-4 2.058993+6 1.040000-4 2.036938+6 1.060000-4 2.011437+6 1.071519-4 1.996200+6 1.083927-4 1.979002+6 1.109175-4 1.945245+6 1.122018-4 1.928138+6 1.148154-4 1.891503+6 1.150000-4 1.888968+6 1.174898-4 1.855681+6 1.190000-4 1.835643+6 1.202264-4 1.818689+6 1.244515-4 1.762333+6 1.260000-4 1.742221+6 1.273503-4 1.724230+6 1.303167-4 1.686002+6 1.318257-4 1.667264+6 1.333521-4 1.648093+6 1.400000-4 1.566433+6 1.412538-4 1.551679+6 1.428894-4 1.531931+6 1.462177-4 1.493263+6 1.480000-4 1.473148+6 1.500000-4 1.450721+6 1.580000-4 1.363732+6 1.584893-4 1.358630+6 1.603245-4 1.339797+6 1.690000-4 1.252309+6 1.720000-4 1.223953+6 1.737801-4 1.207039+6 1.757924-4 1.188220+6 1.778279-4 1.169695+6 1.819701-4 1.133512+6 1.862087-4 1.097907+6 1.905461-4 1.062333+6 1.949845-4 1.027671+6 1.950000-4 1.027553+6 1.972423-4 1.010748+6 2.000000-4 9.904180+5 2.018366-4 9.772583+5 2.150000-4 8.887194+5 2.162719-4 8.807762+5 2.187762-4 8.653751+5 2.238721-4 8.345065+5 2.317395-4 7.903048+5 2.371374-4 7.617890+5 2.454709-4 7.197740+5 2.483133-4 7.062016+5 2.511886-4 6.928743+5 2.540973-4 6.796302+5 2.580000-4 6.624868+5 2.722701-4 6.040134+5 2.730000-4 6.012279+5 2.818383-4 5.686830+5 2.951209-4 5.237782+5 3.019952-4 5.026937+5 3.100000-4 4.795362+5 3.126079-4 4.722068+5 3.162278-4 4.622652+5 3.311311-4 4.245504+5 3.388442-4 4.066936+5 3.548134-4 3.725486+5 3.589219-4 3.644750+5 3.600000-4 3.623995+5 3.630781-4 3.565352+5 3.715352-4 3.409916+5 4.027170-4 2.909006+5 4.073803-4 2.843274+5 4.088600-4 2.822875+5 4.088600-4 1.370115+6 4.094000-4 1.427869+6 4.099000-4 1.474863+6 4.104000-4 1.515744+6 4.110000-4 1.557648+6 4.116000-4 1.593736+6 4.120975-4 1.619475+6 4.121000-4 1.619606+6 4.129000-4 1.654899+6 4.136800-4 1.682914+6 4.136800-4 2.215024+6 4.137000-4 2.216808+6 4.141500-4 2.253485+6 4.145000-4 2.280589+6 4.148000-4 2.301875+6 4.150000-4 2.314538+6 4.157000-4 2.354010+6 4.159000-4 2.364200+6 4.162000-4 2.377536+6 4.170000-4 2.409197+6 4.178000-4 2.432146+6 4.185000-4 2.448878+6 4.188000-4 2.454162+6 4.200000-4 2.469599+6 4.205000-4 2.474163+6 4.210700-4 2.476348+6 4.225000-4 2.476865+6 4.228000-4 2.476018+6 4.240000-4 2.468933+6 4.255000-4 2.456380+6 4.270000-4 2.441252+6 4.310000-4 2.395871+6 4.415704-4 2.278544+6 4.518559-4 2.172290+6 4.570882-4 2.120946+6 4.623810-4 2.070492+6 4.650000-4 2.046180+6 4.800000-4 1.906411+6 4.841724-4 1.869325+6 4.897788-4 1.821084+6 4.942900-4 1.783527+6 4.942900-4 2.017767+6 5.041700-4 1.933384+6 5.069907-4 1.910416+6 5.188000-4 1.820078+6 5.248075-4 1.776556+6 5.308844-4 1.734096+6 5.370318-4 1.691630+6 5.400000-4 1.671413+6 5.500000-4 1.605519+6 5.559043-4 1.568374+6 5.688529-4 1.491197+6 5.900000-4 1.376561+6 5.956621-4 1.347455+6 6.025596-4 1.312855+6 6.200000-4 1.230976+6 6.382635-4 1.152977+6 6.456542-4 1.123426+6 6.500000-4 1.106243+6 6.531306-4 1.093984+6 6.760830-4 1.009839+6 6.839116-4 9.832965+5 7.000000-4 9.315597+5 7.079458-4 9.069839+5 7.161434-4 8.823612+5 7.244360-4 8.583564+5 7.673615-4 7.478986+5 7.762471-4 7.276131+5 7.852356-4 7.078935+5 7.943282-4 6.887228+5 8.035261-4 6.700749+5 8.200000-4 6.378896+5 8.810489-4 5.354652+5 8.912509-4 5.203709+5 9.015711-4 5.056349+5 9.120108-4 4.913131+5 9.332543-4 4.639069+5 9.885531-4 4.020035+5 1.000000-3 3.906803+5 1.011579-3 3.796353+5 1.030000-3 3.627971+5 1.047129-3 3.479919+5 1.071519-3 3.283388+5 1.122018-3 2.923664+5 1.135011-3 2.839770+5 1.148154-3 2.756992+5 1.174898-3 2.598732+5 1.258925-3 2.177405+5 1.273503-3 2.114341+5 1.288250-3 2.053119+5 1.303167-3 1.993694+5 1.318257-3 1.935418+5 1.348963-3 1.822877+5 1.412538-3 1.617566+5 1.450000-3 1.511649+5 1.462177-3 1.479134+5 1.496236-3 1.392863+5 1.513561-3 1.351649+5 1.566751-3 1.234371+5 1.584893-3 1.197654+5 1.659587-3 1.061682+5 1.698244-3 9.993106+4 1.717908-3 9.693890+4 1.757924-3 9.118433+4 1.778279-3 8.844052+4 1.862087-3 7.828134+4 1.883649-3 7.593490+4 1.927525-3 7.142531+4 1.950000-3 6.925822+4 1.972423-3 6.717942+4 2.000000-3 6.472175+4 2.089296-3 5.757794+4 2.113489-3 5.583263+4 2.150000-3 5.333552+4 2.162719-3 5.249598+4 2.187762-3 5.089493+4 2.213095-3 4.934398+4 2.220000-3 4.893274+4 2.264644-3 4.637749+4 2.290868-3 4.496303+4 2.398833-3 3.969988+4 2.426610-3 3.848587+4 2.454709-3 3.730903+4 2.483133-3 3.616842+4 2.511886-3 3.505473+4 2.540973-3 3.397625+4 2.570396-3 3.293184+4 2.650000-3 3.031322+4 2.722701-3 2.815668+4 2.786121-3 2.644620+4 2.818383-3 2.563096+4 2.851018-3 2.484087+4 2.917427-3 2.332302+4 2.951209-3 2.260021+4 3.000000-3 2.161031+4 3.054921-3 2.056374+4 3.090295-3 1.992345+4 3.162278-3 1.870339+4 3.235937-3 1.755953+4 3.273407-3 1.701436+4 3.467369-3 1.451922+4 3.507519-3 1.406712+4 3.520240-3 1.392694+4 3.548134-3 1.362630+4 3.630781-3 1.278661+4 3.758374-3 1.162513+4 4.027170-3 9.598960+3 4.073803-3 9.297016+3 4.120975-3 9.004076+3 4.168694-3 8.720630+3 4.216965-3 8.446221+3 4.315191-3 7.923768+3 4.365158-3 7.672917+3 4.465800-3 7.199521+3 4.465800-3 6.194092+4 4.623810-3 5.692735+4 4.677351-3 5.535819+4 4.731513-3 5.383251+4 4.786301-3 5.229105+4 4.841724-3 5.079385+4 5.000000-3 4.683520+4 5.069907-3 4.522191+4 5.188000-3 4.266827+4 5.248075-3 4.140883+4 5.308844-3 4.018674+4 5.432503-3 3.784910+4 5.500000-3 3.665222+4 5.559043-3 3.564768+4 5.623413-3 3.459547+4 5.688529-3 3.356405+4 5.754399-3 3.256350+4 5.888437-3 3.064929+4 6.025596-3 2.884777+4 6.095369-3 2.798725+4 6.309573-3 2.555633+4 6.382635-3 2.479403+4 6.456542-3 2.405452+4 6.531306-3 2.333700+4 6.606934-3 2.264097+4 6.683439-3 2.196500+4 6.918310-3 2.005622+4 7.000000-3 1.944605+4 7.328245-3 1.717960+4 7.413102-3 1.665310+4 7.500000-3 1.613661+4 7.673615-3 1.516852+4 7.762471-3 1.470320+4 8.000000-3 1.355165+4 8.128305-3 1.298071+4 8.511380-3 1.145988+4 8.709636-3 1.076779+4 8.810489-3 1.043758+4 9.000000-3 9.841194+3 9.015711-3 9.793804+3 9.332543-3 8.901057+3 9.500000-3 8.473671+3 9.549926-3 8.351646+3 9.885531-3 7.590349+3 1.023293-2 6.898568+3 1.035142-2 6.682316+3 1.047129-2 6.472819+3 1.050000-2 6.423975+3 1.059254-2 6.269753+3 1.096478-2 5.690098+3 1.122018-2 5.333806+3 1.161449-2 4.840655+3 1.216186-2 4.253428+3 1.230269-2 4.116467+3 1.318257-2 3.381874+3 1.333521-2 3.272888+3 1.364583-2 3.065307+3 1.380384-2 2.966515+3 1.445440-2 2.602219+3 1.479108-2 2.434823+3 1.566751-2 2.061966+3 1.603245-2 1.929338+3 1.621810-2 1.866252+3 1.659587-2 1.746210+3 1.717908-2 1.580488+3 1.737801-2 1.528768+3 1.798871-2 1.381776+3 1.862087-2 1.248925+3 1.905461-2 1.167528+3 1.927525-2 1.128844+3 2.000000-2 1.013251+3 2.041738-2 9.538194+2 2.113489-2 8.620406+2 2.187762-2 7.781441+2 2.213095-2 7.520347+2 2.317395-2 6.560640+2 2.344229-2 6.340515+2 2.426610-2 5.723457+2 2.511886-2 5.165980+2 2.570396-2 4.824854+2 2.660725-2 4.349919+2 2.722701-2 4.059546+2 2.851018-2 3.535680+2 2.917427-2 3.299689+2 3.054921-2 2.873522+2 3.162278-2 2.590447+2 3.198895-2 2.501514+2 3.507519-2 1.891585+2 3.548134-2 1.826649+2 3.630781-2 1.703279+2 3.715352-2 1.588247+2 3.890451-2 1.380968+2 3.935501-2 1.333517+2 4.073803-2 1.199491+2 4.315191-2 1.005387+2 4.466836-2 9.042703+1 4.786301-2 7.315354+1 4.897788-2 6.816260+1 5.011872-2 6.351232+1 5.128614-2 5.914128+1 5.308844-2 5.314250+1 5.370318-2 5.128133+1 5.956621-2 3.719749+1 6.309573-2 3.112025+1 6.606934-2 2.698176+1 6.760830-2 2.511027+1 6.839116-2 2.422381+1 6.918310-2 2.336805+1 7.000000-2 2.252665+1 7.079458-2 2.174622+1 7.585776-2 1.752557+1 7.673615-2 1.690652+1 7.852356-2 1.573326+1 8.128305-2 1.412417+1 8.912509-2 1.059312+1 9.120108-2 9.858041+0 9.225714-2 9.509724+0 9.332543-2 9.173722+0 9.440609-2 8.849593+0 9.772372-2 7.944332+0 1.011580-1 7.131680+0 1.023293-1 6.878956+0 1.059254-1 6.173235+0 1.071519-1 5.954474+0 1.109175-1 5.343590+0 1.174898-1 4.461563+0 1.216186-1 4.003882+0 1.303167-1 3.224580+0 1.333521-1 3.000124+0 1.364583-1 2.791287+0 1.380384-1 2.692388+0 1.412538-1 2.504973+0 1.462177-1 2.248045+0 1.479108-1 2.169075+0 1.500000-1 2.076609+0 1.513561-1 2.019363+0 1.531088-1 1.948425+0 1.548817-1 1.879983+0 1.566751-1 1.813953+0 1.584893-1 1.750242+0 1.603245-1 1.688814+0 1.621810-1 1.629541+0 1.678804-1 1.463923+0 1.698244-1 1.412546+0 1.737801-1 1.315141+0 1.819701-1 1.140020+0 1.840772-1 1.100013+0 1.862087-1 1.061807+0 1.949845-1 9.217976-1 1.972423-1 8.897858-1 2.041738-1 8.003352-1 2.065380-1 7.725637-1 2.213095-1 6.250447-1 2.238721-1 6.033573-1 2.264644-1 5.824223-1 2.290868-1 5.624915-1 2.317395-1 5.432433-1 2.344229-1 5.246545-1 2.454709-1 4.565348-1 2.483133-1 4.409346-1 2.511886-1 4.258678-1 2.540973-1 4.113155-1 2.570396-1 3.972608-1 2.630268-1 3.705767-1 2.691535-1 3.460744-1 2.722701-1 3.344379-1 2.786121-1 3.123596-1 2.818383-1 3.018734-1 2.851018-1 2.917394-1 2.917427-1 2.724811-1 3.019952-1 2.459509-1 3.054921-1 2.378378-1 3.090295-1 2.299924-1 3.126079-1 2.224059-1 3.198895-1 2.079998-1 3.349654-1 1.819268-1 3.388442-1 1.759361-1 3.427678-1 1.701428-1 3.467369-1 1.646518-1 3.507519-1 1.593382-1 3.672823-1 1.397797-1 3.715352-1 1.352774-1 3.758374-1 1.309202-1 3.801894-1 1.267034-1 3.845918-1 1.226225-1 3.935501-1 1.150144-1 4.027170-1 1.078938-1 4.073803-1 1.045005-1 4.216965-1 9.494805-2 4.265795-1 9.196211-2 4.315191-1 8.913569-2 4.365158-1 8.639620-2 4.415705-1 8.374690-2 4.623810-1 7.393811-2 4.677351-1 7.167102-2 4.731513-1 6.947340-2 4.786301-1 6.739615-2 4.841724-1 6.538100-2 4.954502-1 6.153923-2 5.069907-1 5.792321-2 5.128614-1 5.619570-2 5.188000-1 5.451980-2 5.248075-1 5.289384-2 5.308844-1 5.135686-2 5.370318-1 4.986498-2 5.559043-1 4.565374-2 5.688529-1 4.304592-2 5.754399-1 4.179841-2 5.821032-1 4.061924-2 5.888437-1 3.947374-2 6.025596-1 3.728391-2 6.095369-1 3.623498-2 6.165950-1 3.521562-2 6.309573-1 3.326214-2 6.382635-1 3.235385-2 6.456542-1 3.147071-2 6.531306-1 3.061393-2 6.606935-1 2.978048-2 6.683439-1 2.896977-2 6.760830-1 2.818113-2 6.918310-1 2.666769-2 6.998420-1 2.596622-2 7.079458-1 2.528347-2 7.085700-1 2.523196-2 7.161434-1 2.462071-2 7.244360-1 2.397550-2 7.413102-1 2.273541-2 7.444800-1 2.251276-2 7.498942-1 2.213963-2 7.673615-1 2.102925-2 7.762471-1 2.049534-2 7.943282-1 1.947052-2 8.035261-1 1.897751-2 8.222427-1 1.802860-2 8.413951-1 1.715326-2 8.511380-1 1.673185-2 8.609938-1 1.632170-2 8.912509-1 1.515062-2 9.120108-1 1.441696-2 9.225714-1 1.406371-2 9.332543-1 1.373049-2 9.440609-1 1.340517-2 9.660509-1 1.277953-2 9.772372-1 1.247775-2 9.885531-1 1.218311-2 1.000000+0 1.189555-2 1.023293+0 1.135947-2 1.035142+0 1.110117-2 1.047129+0 1.084873-2 1.059254+0 1.060206-2 1.071519+0 1.036101-2 1.083927+0 1.012542-2 1.096478+0 9.895207-3 1.109175+0 9.670214-3 1.130300+0 9.312541-3 1.135011+0 9.235487-3 1.148154+0 9.033613-3 1.161449+0 8.836843-3 1.174898+0 8.644369-3 1.188502+0 8.456102-3 1.250000+0 7.678259-3 1.258925+0 7.574479-3 1.273503+0 7.415297-3 1.364583+0 6.530734-3 1.380384+0 6.393930-3 1.396368+0 6.259992-3 1.412538+0 6.133544-3 1.548817+0 5.212389-3 1.566751+0 5.111737-3 1.584893+0 5.013031-3 1.621810+0 4.821298-3 1.698244+0 4.459552-3 1.717908+0 4.373443-3 1.737801+0 4.288995-3 1.757924+0 4.209312-3 1.778279+0 4.131116-3 1.798871+0 4.054368-3 1.840772+0 3.905128-3 1.927525+0 3.622925-3 1.949845+0 3.555620-3 1.972423+0 3.489570-3 2.000000+0 3.414288-3 2.018366+0 3.365616-3 2.065380+0 3.246066-3 2.162719+0 3.019555-3 2.187762+0 2.965443-3 2.213095+0 2.912303-3 2.238721+0 2.862209-3 2.264644+0 2.812979-3 2.317395+0 2.717042-3 2.426610+0 2.534876-3 2.454709+0 2.491276-3 2.511886+0 2.406317-3 2.540973+0 2.366519-3 2.570396+0 2.327382-3 2.630268+0 2.251038-3 2.754229+0 2.105782-3 2.786121+0 2.070958-3 2.851018+0 2.003030-3 2.917427+0 1.939589-3 2.951209+0 1.908627-3 3.019952+0 1.848178-3 3.198895+0 1.705301-3 3.235937+0 1.678080-3 3.311311+0 1.624936-3 3.388442+0 1.575274-3 3.427678+0 1.551017-3 3.507519+0 1.503616-3 3.715352+0 1.391357-3 3.758374+0 1.369932-3 3.845918+0 1.328068-3 3.935501+0 1.288870-3 4.000000+0 1.261896-3 4.120975+0 1.213913-3 4.365158+0 1.126318-3 4.415704+0 1.109573-3 4.518559+0 1.076826-3 4.623810+0 1.046088-3 4.731513+0 1.016227-3 4.897788+0 9.730279-4 5.248075+0 8.920599-4 5.308844+0 8.792365-4 5.432503+0 8.541402-4 5.559043+0 8.305278-4 5.688529+0 8.075692-4 5.888437+0 7.743155-4 6.382635+0 7.019520-4 6.456542+0 6.921821-4 6.606934+0 6.730486-4 6.760830+0 6.550073-4 6.918310+0 6.374502-4 7.244360+0 6.037354-4 7.943282+0 5.415611-4 8.000000+0 5.370335-4 8.222427+0 5.199341-4 8.413951+0 5.064024-4 8.511380+0 4.997694-4 8.609938+0 4.932232-4 9.015711+0 4.678850-4 1.000000+1 4.155318-4 1.011579+1 4.100893-4 1.047129+1 3.941852-4 1.071519+1 3.841949-4 1.096478+1 3.744577-4 1.109175+1 3.696819-4 1.161449+1 3.511807-4 1.303167+1 3.088781-4 1.318257+1 3.049389-4 1.348963+1 2.972108-4 1.364583+1 2.934283-4 1.380384+1 2.897732-4 1.400000+1 2.853556-4 1.412538+1 2.825991-4 1.500000+1 2.647067-4 1.513561+1 2.621257-4 1.778279+1 2.199376-4 1.798871+1 2.171980-4 1.800000+1 2.170497-4 1.819701+1 2.144972-4 1.840772+1 2.118309-4 1.862087+1 2.092527-4 1.883649+1 2.067057-4 2.018366+1 1.920623-4 2.570396+1 1.485098-4 2.722701+1 1.396994-4 2.800000+1 1.356065-4 2.818383+1 1.346864-4 2.917427+1 1.299326-4 3.162278+1 1.194827-4 3.198895+1 1.180613-4 3.235937+1 1.166568-4 4.570882+1 8.146780-5 4.677351+1 7.954135-5 4.731513+1 7.860874-5 4.786301+1 7.768710-5 4.841724+1 7.677734-5 4.897788+1 7.587827-5 8.413951+1 4.361947-5 8.709636+1 4.210514-5 8.810489+1 4.161694-5 8.912509+1 4.113442-5 9.120108+1 4.018686-5 9.225714+1 3.972130-5 1.678804+2 2.167078-5 1.737801+2 2.092636-5 1.757924+2 2.068525-5 1.778279+2 2.044693-5 1.819701+2 1.997872-5 1.840772+2 1.974867-5 3.349654+2 1.081376-5 3.467369+2 1.044449-5 6.918310+2 5.226703-6 6.998420+2 5.166743-6 7.079458+2 5.107470-6 7.244360+2 4.990993-6 7.328245+2 4.933755-6 2.660725+3 1.355568-6 2.754229+3 1.309463-6 1.096478+4 3.288536-7 1.109175+4 3.250886-7 1.122018+4 3.213670-7 1.148154+4 3.140508-7 1.161449+4 3.104555-7 1.000000+5 3.604974-8 1 21000 7 0 4.495800+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.900000-6 5.900000-6 7.040000-6 5.900000-6 7.040000-6 6.899322-6 7.080000-6 6.909855-6 7.080000-6 6.972183-6 7.570000-6 7.030289-6 8.369000-6 7.055160-6 1.350000-5 6.999615-6 3.906000-5 6.981490-6 3.906000-5 1.033265-5 3.960000-5 1.027697-5 3.960000-5 1.097764-5 4.168694-5 1.071202-5 4.610000-5 1.007589-5 4.820000-5 9.839824-6 5.011872-5 9.695832-6 5.190000-5 9.627576-6 5.400000-5 9.621570-6 5.623413-5 9.687251-6 5.900000-5 9.836618-6 6.091000-5 9.968431-6 6.091000-5 1.170494-5 7.079458-5 1.236982-5 7.762471-5 1.274879-5 8.511380-5 1.307392-5 9.332543-5 1.333185-5 1.040000-4 1.356217-5 1.190000-4 1.377206-5 1.428894-4 1.398316-5 1.778279-4 1.417138-5 2.483133-4 1.438574-5 3.715352-4 1.461394-5 4.088600-4 1.466993-5 4.088600-4 2.510511-5 4.104000-4 2.538390-5 4.129000-4 2.561560-5 4.136800-4 2.566061-5 4.136800-4 2.620290-5 4.178000-4 2.638318-5 4.270000-4 2.645485-5 4.942900-4 2.644693-5 4.942900-4 2.827626-5 9.332543-4 2.944797-5 1.348963-3 3.033056-5 1.883649-3 3.123523-5 2.570396-3 3.214586-5 3.273407-3 3.288300-5 4.315191-3 3.371712-5 4.465800-3 3.381611-5 4.465800-3 5.044941-5 7.000000-3 5.080305-5 1.380384-2 5.109555-5 3.935501-2 5.129093-5 4.786301-1 5.137750-5 1.000000+5 5.138262-5 1 21000 7 7 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.900000-6 0.0 3.906000-5 0.0 3.906000-5 1.083036-9 3.960000-5 1.065105-9 3.960000-5 1.229434-9 4.050000-5 1.197121-9 4.216965-5 1.125425-9 4.518559-5 9.89834-10 4.623810-5 9.46988-10 4.720000-5 9.11925-10 4.820000-5 8.80628-10 4.900000-5 8.59886-10 4.970000-5 8.44757-10 5.040000-5 8.32819-10 5.110000-5 8.23686-10 5.190000-5 8.16988-10 5.270000-5 8.13913-10 5.350000-5 8.14427-10 5.432503-5 8.17908-10 5.500000-5 8.22627-10 5.580000-5 8.31095-10 5.690000-5 8.46317-10 5.821032-5 8.68620-10 6.000000-5 9.04677-10 6.091000-5 9.24859-10 6.091000-5 1.129410-9 6.839116-5 1.279116-9 7.161434-5 1.339510-9 7.500000-5 1.397455-9 7.852356-5 1.451116-9 8.222426-5 1.500958-9 8.511380-5 1.535405-9 9.015711-5 1.586303-9 9.549926-5 1.630467-9 1.023293-4 1.675939-9 1.109175-4 1.720008-9 1.202264-4 1.757056-9 1.333521-4 1.796979-9 1.500000-4 1.833506-9 1.720000-4 1.866107-9 2.018366-4 1.894903-9 2.454709-4 1.921063-9 3.126079-4 1.943401-9 4.088600-4 1.959639-9 4.088600-4 1.789910-7 4.099000-4 1.824684-7 4.110000-4 1.849386-7 4.129000-4 1.876349-7 4.136800-4 1.883958-7 4.136800-4 1.978497-7 4.159000-4 1.999546-7 4.188000-4 2.012931-7 4.240000-4 2.020772-7 4.942900-4 2.018587-7 4.942900-4 2.120920-7 8.810489-4 2.159686-7 1.659587-3 2.212670-7 2.722701-3 2.264666-7 4.027170-3 2.309811-7 4.465800-3 2.321752-7 4.465800-3 6.789994-4 5.623413-3 6.844585-4 8.128305-3 6.898139-4 1.333521-2 6.940873-4 2.851018-2 6.967763-4 2.041738-1 6.977664-4 1.000000+5 6.977793-4 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.900000-6 0.0 7.040000-6 1.140000-6 7.040000-6 1.406778-7 7.080000-6 1.701446-7 7.080000-6 1.078171-7 7.100000-6 1.244672-7 7.170000-6 1.833276-7 7.244360-6 2.471258-7 7.310000-6 3.044581-7 7.420000-6 4.024891-7 7.570000-6 5.397109-7 7.762471-6 7.205943-7 8.020000-6 9.691136-7 8.420000-6 1.364750-6 9.240000-6 2.192614-6 1.207000-5 5.061161-6 1.980000-5 1.280883-5 3.906000-5 3.207851-5 3.906000-5 2.872627-5 3.960000-5 2.932197-5 3.960000-5 2.862113-5 4.720000-5 3.725614-5 5.110000-5 4.144868-5 5.580000-5 4.613072-5 6.091000-5 5.094064-5 6.091000-5 4.920393-5 7.852356-5 6.572971-5 1.000000-4 8.651036-5 1.603245-4 1.462324-4 4.088600-4 3.941881-4 4.088600-4 3.835759-4 4.136800-4 3.878310-4 4.136800-4 3.872793-4 4.942900-4 4.676412-4 4.942900-4 4.658017-4 4.465800-3 4.431752-3 4.465800-3 3.736351-3 1.798871-2 1.724199-2 1.000000+5 1.000000+5 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 4.465800-3 5.474140+4 4.731513-3 4.770517+4 5.188000-3 3.793373+4 5.623413-3 3.082025+4 7.000000-3 1.741472+4 8.810489-3 9.385190+3 1.059254-2 5.651304+3 1.216186-2 3.839554+3 1.445440-2 2.352527+3 1.737801-2 1.383787+3 2.113489-2 7.810695+2 2.570396-2 4.374920+2 3.162278-2 2.350204+2 3.935501-2 1.210341+2 5.011872-2 5.766389+1 6.606934-2 2.450192+1 1.011580-1 6.477407+0 1.462177-1 2.041525+0 1.840772-1 9.989361-1 2.264644-1 5.288956-1 2.630268-1 3.365059-1 3.019952-1 2.233327-1 3.427678-1 1.544963-1 3.845918-1 1.113443-1 4.265795-1 8.350395-2 4.731513-1 6.308366-2 5.248075-1 4.802915-2 5.754399-1 3.795454-2 6.309573-1 3.020340-2 6.918310-1 2.421557-2 7.498942-1 2.010428-2 8.222427-1 1.637205-2 9.225714-1 1.277212-2 1.000000+0 1.080301-2 1.135011+0 8.387554-3 1.258925+0 6.879143-3 1.396368+0 5.685306-3 1.548817+0 4.733990-3 1.737801+0 3.895352-3 1.972423+0 3.169295-3 2.213095+0 2.644998-3 2.511886+0 2.185450-3 2.851018+0 1.819181-3 3.311311+0 1.475795-3 3.845918+0 1.206177-3 4.518559+0 9.779943-4 5.432503+0 7.757451-4 6.606934+0 6.112742-4 8.222427+0 4.722136-4 1.047129+1 3.580058-4 1.364583+1 2.664943-4 1.840772+1 1.923840-4 2.800000+1 1.231500-4 4.677351+1 7.223966-5 8.709636+1 3.824017-5 1.737801+2 1.900560-5 3.467369+2 9.485124-6 2.754229+3 1.189193-6 1.000000+5 3.274100-8 1 21000 7 0 4.495800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 4.465800-3 5.263700-5 1.000000+5 5.263700-5 1 21000 7 7 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.465800-3 7.682700-4 1.000000+5 7.682700-4 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.465800-3 3.644893-3 1.000000+5 1.000000+5 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 4.942900-4 2.342400+5 5.400000-4 2.088486+5 6.839116-4 1.502704+5 7.161434-4 1.403542+5 8.200000-4 1.141416+5 8.912509-4 9.971129+4 1.030000-3 7.804160+4 1.135011-3 6.574424+4 1.303167-3 5.101892+4 1.450000-3 4.166240+4 1.659587-3 3.198842+4 1.883649-3 2.477192+4 2.150000-3 1.882958+4 2.483133-3 1.384744+4 2.851018-3 1.022964+4 3.273407-3 7.500399+3 3.758374-3 5.459847+3 4.315191-3 3.946828+3 5.000000-3 2.771820+3 5.754399-3 1.964671+3 6.606934-3 1.391515+3 7.673615-3 9.507015+2 9.000000-3 6.285120+2 1.050000-2 4.180000+2 1.230269-2 2.728742+2 1.445440-2 1.755403+2 1.717908-2 1.085683+2 2.041738-2 6.663890+1 2.426610-2 4.060447+1 2.917427-2 2.375714+1 3.548134-2 1.333444+1 4.315191-2 7.427741+0 5.370318-2 3.831791+0 6.839116-2 1.828856+0 9.120108-2 7.519764-1 1.584893-1 1.352742-1 1.972423-1 6.905659-2 2.344229-1 4.083467-2 2.722701-1 2.608238-2 3.126079-1 1.737207-2 3.507519-1 1.246146-2 3.935501-1 9.003061-3 4.365158-1 6.767492-3 4.841724-1 5.124093-3 5.370318-1 3.910119-3 5.888437-1 3.096183-3 6.456542-1 2.469000-3 7.085700-1 1.979632-3 7.762471-1 1.608325-3 8.511380-1 1.313117-3 9.440609-1 1.052004-3 1.023293+0 8.917229-4 1.148154+0 7.091077-4 1.273503+0 5.820896-4 1.412538+0 4.814829-4 1.548817+0 4.093183-4 1.737801+0 3.367996-4 1.972423+0 2.740271-4 2.213095+0 2.287066-4 2.511886+0 1.889737-4 2.851018+0 1.573008-4 3.311311+0 1.276047-4 3.845918+0 1.042890-4 4.518559+0 8.456065-5 5.432503+0 6.707505-5 6.606934+0 5.285423-5 8.222427+0 4.082969-5 1.047129+1 3.095502-5 1.348963+1 2.333580-5 1.800000+1 1.704100-5 2.570396+1 1.165986-5 3.162278+1 9.380843-6 4.786301+1 6.099803-6 8.912509+1 3.229931-6 1.778279+2 1.605570-6 7.079458+2 4.007670-7 1.122018+4 2.523780-8 1.000000+5 2.831000-9 1 21000 7 0 4.495800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 4.942900-4 4.220500-5 1.000000+5 4.220500-5 1 21000 7 7 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 4.942900-4 2.900100-7 1.000000+5 2.900100-7 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 4.942900-4 4.517950-4 1.000000+5 1.000000+5 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 4.136800-4 5.321100+5 4.141500-4 5.575400+5 4.145000-4 5.750000+5 4.150000-4 5.967700+5 4.157000-4 6.226500+5 4.162000-4 6.384700+5 4.170000-4 6.599500+5 4.178000-4 6.778200+5 4.188000-4 6.954100+5 4.200000-4 7.109800+5 4.210700-4 7.208900+5 4.225000-4 7.291600+5 4.240000-4 7.330200+5 4.255000-4 7.330600+5 4.270000-4 7.303900+5 4.310000-4 7.175821+5 4.570882-4 6.343568+5 4.800000-4 5.712300+5 5.041700-4 5.106500+5 5.370318-4 4.440900+5 5.956621-4 3.491500+5 6.500000-4 2.828700+5 7.079458-4 2.285000+5 8.035261-4 1.645100+5 8.810489-4 1.288800+5 1.000000-3 9.125100+4 1.122018-3 6.629000+4 1.303167-3 4.334000+4 1.462177-3 3.105800+4 1.698244-3 1.997400+4 1.950000-3 1.317500+4 2.220000-3 8.856100+3 2.570396-3 5.609000+3 3.000000-3 3.435700+3 3.507519-3 2.075500+3 4.073803-3 1.271300+3 4.731513-3 7.730500+2 5.500000-3 4.653700+2 6.456542-3 2.688100+2 7.500000-3 1.597900+2 8.709636-3 9.445700+1 1.035142-2 5.107000+1 1.230269-2 2.740400+1 1.479108-2 1.399900+1 1.798871-2 6.802200+0 2.187762-2 3.280600+0 2.722701-2 1.441000+0 3.507519-2 5.514500-1 7.000000-2 3.949582-2 9.225714-2 1.387017-2 1.109175-1 6.949252-3 1.303167-1 3.824013-3 1.479108-1 2.406598-3 1.698244-1 1.462341-3 1.949845-1 8.952976-4 2.213095-1 5.748526-4 2.483133-1 3.868099-4 2.786121-1 2.621400-4 3.090295-1 1.859789-4 3.427678-1 1.328459-4 3.801894-1 9.557226-5 4.216965-1 6.926635-5 4.623810-1 5.237243-5 5.069907-1 3.986468-5 5.559043-1 3.056052-5 6.095369-1 2.360590-5 6.683439-1 1.837157-5 7.244360-1 1.486124-5 7.943282-1 1.174461-5 9.440609-1 7.641850-6 9.885531-1 6.853577-6 1.047129+0 6.031688-6 1.109175+0 5.344289-6 1.174898+0 4.769872-6 1.258925+0 4.194556-6 1.364583+0 3.634502-6 1.698244+0 2.504301-6 1.927525+0 2.032479-6 2.162719+0 1.693755-6 2.426610+0 1.421653-6 2.754229+0 1.181138-6 3.198895+0 9.564939-7 3.715352+0 7.803945-7 4.365158+0 6.317566-7 5.248075+0 5.003861-7 6.382635+0 3.937582-7 7.943282+0 3.037923-7 1.000000+1 2.330900-7 1.303167+1 1.732444-7 1.778279+1 1.233938-7 2.570396+1 8.333448-8 3.235937+1 6.545264-8 4.897788+1 4.257335-8 9.225714+1 2.228767-8 1.840772+2 1.108159-8 7.328245+2 2.766796-9 1.161449+4 1.74251-10 1.000000+5 2.02330-11 1 21000 7 0 4.495800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 4.136800-4 2.791800-5 1.000000+5 2.791800-5 1 21000 7 7 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 4.136800-4 2.277500-7 1.000000+5 2.277500-7 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 4.136800-4 3.855343-4 1.000000+5 1.000000+5 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 4.088600-4 1.087828+6 4.094000-4 1.146320+6 4.099000-4 1.193996+6 4.104000-4 1.235556+6 4.110000-4 1.278272+6 4.116000-4 1.315168+6 4.121000-4 1.341708+6 4.129000-4 1.378092+6 4.137000-4 1.407916+6 4.148000-4 1.439664+6 4.159000-4 1.462492+6 4.170000-4 1.477928+6 4.185000-4 1.489436+6 4.205000-4 1.491804+6 4.228000-4 1.482256+6 4.650000-4 1.217508+6 5.069907-4 9.980279+5 5.308844-4 9.006782+5 5.900000-4 7.041280+5 6.456542-4 5.657911+5 7.000000-4 4.617920+5 8.035261-4 3.224309+5 8.810489-4 2.521866+5 1.011579-3 1.726532+5 1.135011-3 1.251273+5 1.318257-3 8.158420+4 1.513561-3 5.450806+4 1.717908-3 3.740451+4 1.972423-3 2.461890+4 2.290868-3 1.551066+4 2.650000-3 9.812440+3 3.054921-3 6.228882+3 3.507519-3 3.978845+3 4.027170-3 2.525547+3 4.623810-3 1.592972+3 5.308844-3 9.983316+2 6.095369-3 6.217500+2 7.000000-3 3.844932+2 8.128305-3 2.272676+2 9.500000-3 1.303432+2 1.122018-2 7.149104+1 1.333521-2 3.804577+1 1.603245-2 1.925316+1 1.927525-2 9.670083+0 2.344229-2 4.616058+0 2.917427-2 2.003345+0 3.715352-2 7.896836-1 8.128305-2 3.788669-2 1.011580-1 1.632616-2 1.216186-1 8.093863-3 1.412538-1 4.602734-3 1.621810-1 2.752943-3 1.840772-1 1.730902-3 2.065380-1 1.142682-3 2.317395-1 7.599487-4 2.570396-1 5.302368-4 2.851018-1 3.727294-4 3.126079-1 2.743537-4 3.427678-1 2.033655-4 3.758374-1 1.518958-4 4.073803-1 1.184441-4 4.415705-1 9.295444-5 4.731513-1 7.594677-5 5.128614-1 6.040581-5 5.559043-1 4.836460-5 6.095369-1 3.780454-5 6.606935-1 3.066698-5 7.161434-1 2.504743-5 7.762471-1 2.060986-5 8.413951-1 1.708589-5 9.120108-1 1.426929-5 9.772372-1 1.229777-5 1.059254+0 1.041965-5 1.161449+0 8.683180-6 1.273503+0 7.291397-6 1.412538+0 6.037240-6 1.566751+0 5.035345-6 1.757924+0 4.146534-6 2.000000+0 3.362900-6 2.238721+0 2.819332-6 2.540973+0 2.331174-6 2.917427+0 1.910231-6 3.388442+0 1.551383-6 3.935501+0 1.269347-6 4.623810+0 1.030275-6 5.559043+0 8.179960-7 6.760830+0 6.451421-7 8.413951+0 4.987971-7 1.071519+1 3.784332-7 1.380384+1 2.854922-7 1.840772+1 2.087152-7 2.800000+1 1.336100-7 4.677351+1 7.837193-8 8.709636+1 4.148667-8 1.737801+2 2.061844-8 6.918310+2 5.145843-9 1.096478+4 3.24033-10 1.000000+5 3.55210-11 1 21000 7 0 4.495800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 4.088600-4 2.781300-5 1.000000+5 2.781300-5 1 21000 7 7 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 4.088600-4 2.249300-7 1.000000+5 2.249300-7 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 4.088600-4 3.808221-4 1.000000+5 1.000000+5 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 6.091000-5 4.324960+5 6.606934-5 4.270094+5 8.000000-5 4.197100+5 8.511380-5 4.150958+5 9.015711-5 4.081733+5 9.500000-5 3.992780+5 1.000000-4 3.881180+5 1.060000-4 3.728960+5 1.122018-4 3.561789+5 1.202264-4 3.345759+5 1.318257-4 3.054233+5 1.462177-4 2.736996+5 1.603245-4 2.465757+5 1.737801-4 2.235918+5 1.905461-4 1.985276+5 2.162719-4 1.670987+5 2.454709-4 1.396166+5 2.722701-4 1.197038+5 3.126079-4 9.667186+4 3.600000-4 7.716360+4 4.120975-4 6.169562+4 4.841724-4 4.687993+4 5.559043-4 3.678478+4 6.531306-4 2.752501+4 7.673615-4 2.043475+4 9.015711-4 1.506531+4 1.071519-3 1.078634+4 1.273503-3 7.663557+3 1.513561-3 5.402076+3 1.778279-3 3.868763+3 2.089296-3 2.748637+3 2.426610-3 1.985954+3 2.818383-3 1.424130+3 3.235937-3 1.040491+3 3.758374-3 7.351604+2 4.365158-3 5.156576+2 5.069907-3 3.591695+2 5.888437-3 2.484355+2 6.918310-3 1.657597+2 8.128305-3 1.097280+2 9.549926-3 7.207157+1 1.122018-2 4.696529+1 1.318257-2 3.037530+1 1.566751-2 1.889347+1 1.862087-2 1.165995+1 2.213095-2 7.140031+0 2.660725-2 4.197378+0 3.198895-2 2.448749+0 3.890451-2 1.370842+0 4.786301-2 7.360339-1 5.956621-2 3.786405-1 7.852356-2 1.621062-1 1.059254-1 6.420645-2 1.548817-1 1.974737-2 1.949845-1 9.729351-3 2.344229-1 5.554920-3 2.722701-1 3.548252-3 3.126079-1 2.363462-3 3.507519-1 1.695546-3 3.935501-1 1.225105-3 4.365158-1 9.208291-4 4.841724-1 6.971788-4 5.308844-1 5.480848-4 5.821032-1 4.337579-4 6.382635-1 3.457349-4 6.998420-1 2.775906-4 7.673615-1 2.245114-4 8.413951-1 1.828722-4 9.120108-1 1.537728-4 9.885531-1 1.301365-4 1.135011+0 9.879723-5 1.258925+0 8.098921-5 1.396368+0 6.691618-5 1.548817+0 5.571256-5 1.737801+0 4.584136-5 1.972423+0 3.729860-5 2.213095+0 3.112985-5 2.511886+0 2.572157-5 2.851018+0 2.141043-5 3.311311+0 1.736884-5 3.845918+0 1.419553-5 4.518559+0 1.150959-5 5.432503+0 9.129498-6 6.606934+0 7.194125-6 8.222427+0 5.557430-6 1.047129+1 4.213467-6 1.348963+1 3.176306-6 1.819701+1 2.292463-6 2.722701+1 1.493004-6 4.570882+1 8.706211-7 8.413951+1 4.661451-7 1.678804+2 2.316125-7 3.349654+2 1.155737-7 2.660725+3 1.448798-8 1.000000+5 3.85330-10 1 21000 7 0 4.495800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 6.091000-5 1.981900-5 1.000000+5 1.981900-5 1 21000 7 7 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.091000-5 2.085200-9 1.000000+5 2.085200-9 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.091000-5 4.108891-5 1.000000+5 1.000000+5 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 3.960000-5 1.120434+6 4.000000-5 1.081020+6 4.050000-5 1.028150+6 4.130000-5 9.417500+5 4.220000-5 8.473480+5 4.315191-5 7.549840+5 4.610000-5 5.311060+5 4.720000-5 4.712140+5 4.820000-5 4.265500+5 4.900000-5 3.968280+5 4.970000-5 3.747520+5 5.040000-5 3.559880+5 5.110000-5 3.401820+5 5.190000-5 3.253660+5 5.270000-5 3.135980+5 5.350000-5 3.044840+5 5.432503-5 2.974841+5 5.500000-5 2.933280+5 5.580000-5 2.899780+5 5.688529-5 2.877462+5 5.800000-5 2.877080+5 5.900000-5 2.892200+5 6.025596-5 2.927231+5 6.165950-5 2.982293+5 6.400000-5 3.098160+5 7.161434-5 3.535382+5 7.500000-5 3.715140+5 7.852356-5 3.879313+5 8.222426-5 4.022690+5 8.511380-5 4.112524+5 8.900000-5 4.202460+5 9.300000-5 4.260080+5 9.660509-5 4.285229+5 1.011579-4 4.286566+5 1.060000-4 4.257800+5 1.109175-4 4.203805+5 1.174898-4 4.104143+5 1.244515-4 3.977909+5 1.318257-4 3.830024+5 1.400000-4 3.657140+5 1.480000-4 3.483400+5 1.580000-4 3.265300+5 1.690000-4 3.031200+5 1.819701-4 2.770843+5 1.972423-4 2.491998+5 2.150000-4 2.207000+5 2.317395-4 1.972173+5 2.511886-4 1.734590+5 2.730000-4 1.507866+5 3.019952-4 1.261549+5 3.311311-4 1.064250+5 3.630781-4 8.911579+4 4.027170-4 7.236188+4 4.415704-4 5.976544+4 4.897788-4 4.785152+4 5.500000-4 3.698340+4 6.200000-4 2.810620+4 7.000000-4 2.109640+4 7.943282-4 1.551873+4 9.015711-4 1.131332+4 1.011579-3 8.431492+3 1.148154-3 6.056390+3 1.288250-3 4.454448+3 1.462177-3 3.152351+3 1.659587-3 2.213637+3 1.883649-3 1.542407+3 2.113489-3 1.102866+3 2.398833-3 7.567673+2 2.722701-3 5.154124+2 3.090295-3 3.485272+2 3.548134-3 2.256783+2 4.073803-3 1.450250+2 4.677351-3 9.253566+1 5.432503-3 5.645005+1 6.309573-3 3.417744+1 7.328245-3 2.053505+1 8.511380-3 1.224433+1 9.885531-3 7.247074+0 1.161449-2 4.088309+0 1.380384-2 2.196354+0 1.659587-2 1.123106+0 2.000000-2 5.651803-1 2.426610-2 2.751579-1 3.054921-2 1.158080-1 4.073803-2 3.891898-2 7.079458-2 4.753431-3 9.120108-2 1.825495-3 1.109175-1 8.777447-4 1.303167-1 4.835199-4 1.513561-1 2.798534-4 1.737801-1 1.700922-4 1.972423-1 1.084860-4 2.238721-1 6.968341-5 2.511886-1 4.692107-5 2.818383-1 3.182414-5 3.126079-1 2.259005-5 3.467369-1 1.614531-5 3.845918-1 1.162444-5 4.216965-1 8.739561-6 4.677351-1 6.389640-6 5.188000-1 4.708766-6 5.688529-1 3.614386-6 6.165950-1 2.884745-6 6.760830-1 2.245829-6 7.413102-1 1.761537-6 8.609938-1 1.200445-6 9.120108-1 1.041738-6 9.660509-1 9.098081-7 1.023293+0 8.007207-7 1.096478+0 6.923478-7 1.161449+0 6.172695-7 1.250000+0 5.374600-7 1.364583+0 4.590731-7 1.621810+0 3.412263-7 1.840772+0 2.762399-7 2.065380+0 2.295455-7 2.317395+0 1.921335-7 2.630268+0 1.592021-7 3.019952+0 1.307053-7 3.507519+0 1.063277-7 4.120975+0 8.583621-8 4.897788+0 6.880145-8 5.888437+0 5.475123-8 7.244360+0 4.268827-8 9.015711+0 3.308465-8 1.161449+1 2.483193-8 1.513561+1 1.853651-8 2.018366+1 1.358295-8 2.917427+1 9.194084-9 4.731513+1 5.563122-9 8.810489+1 2.945298-9 1.757924+2 1.463946-9 6.998420+2 3.65386-10 1.109175+4 2.30086-11 1.000000+5 2.55140-12 1 21000 7 0 4.495800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 3.960000-5 1.363300-5 1.000000+5 1.363300-5 1 21000 7 7 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.960000-5 1.852200-9 1.000000+5 1.852200-9 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.960000-5 2.596515-5 1.000000+5 1.000000+5 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 3.906000-5 2.255716+6 3.950000-5 2.166000+6 4.000000-5 2.056460+6 4.073803-5 1.893199+6 4.168694-5 1.691256+6 4.315191-5 1.413552+6 4.518559-5 1.109951+6 4.623810-5 9.887545+5 4.720000-5 8.972120+5 4.800000-5 8.336680+5 4.870000-5 7.864960+5 4.954502-5 7.389428+5 5.011872-5 7.119060+5 5.080000-5 6.847360+5 5.150000-5 6.618360+5 5.233200-5 6.404314+5 5.308844-5 6.257444+5 5.400000-5 6.132120+5 5.495409-5 6.051906+5 5.580000-5 6.017120+5 5.690000-5 6.013520+5 5.821032-5 6.057772+5 5.956621-5 6.145008+5 6.150000-5 6.319280+5 6.456542-5 6.661436+5 7.079458-5 7.402033+5 7.413102-5 7.761050+5 7.762471-5 8.087553+5 8.128305-5 8.367644+5 8.511380-5 8.590846+5 8.912509-5 8.749942+5 9.332543-5 8.841135+5 9.772372-5 8.864070+5 1.023293-4 8.822672+5 1.071519-4 8.724496+5 1.122018-4 8.578151+5 1.190000-4 8.333120+5 1.260000-4 8.045200+5 1.333521-4 7.722068+5 1.412538-4 7.362617+5 1.500000-4 6.961360+5 1.603245-4 6.493091+5 1.720000-4 5.983040+5 1.862087-4 5.409084+5 2.018366-4 4.844763+5 2.187762-4 4.308375+5 2.371374-4 3.803999+5 2.580000-4 3.311792+5 2.818383-4 2.842452+5 3.100000-4 2.392452+5 3.388442-4 2.023292+5 3.715352-4 1.688394+5 4.120975-4 1.366322+5 4.518559-4 1.125390+5 5.041700-4 8.863478+4 5.688529-4 6.751488+4 6.382635-4 5.166340+4 7.244360-4 3.814838+4 8.200000-4 2.812260+4 9.332543-4 2.028446+4 1.047129-3 1.506355+4 1.174898-3 1.111731+4 1.318257-3 8.151939+3 1.496236-3 5.750851+3 1.698244-3 4.025658+3 1.927525-3 2.795943+3 2.162719-3 1.993069+3 2.454709-3 1.363101+3 2.786121-3 9.253025+2 3.162278-3 6.236245+2 3.630781-3 4.023494+2 4.168694-3 2.576103+2 4.786301-3 1.637581+2 5.559043-3 9.949315+1 6.382635-3 6.237391+1 7.413102-3 3.732984+1 8.511380-3 2.308096+1 9.885531-3 1.360817+1 1.161449-2 7.642613+0 1.364583-2 4.259775+0 1.621810-2 2.259745+0 1.905461-2 1.241587+0 2.317395-2 5.951794-1 2.851018-2 2.711087-1 3.630781-2 1.074481-1 4.466836-2 4.830654-2 7.673615-2 5.943715-3 9.772372-2 2.342805-3 1.174898-1 1.160647-3 1.380384-1 6.323247-4 1.603245-1 3.623996-4 1.819701-1 2.278143-4 2.041738-1 1.503843-4 2.290868-1 9.998288-5 2.540973-1 6.973631-5 2.818383-1 4.900715-5 3.090295-1 3.606399-5 3.388442-1 2.672466-5 3.715352-1 1.994968-5 4.073803-1 1.500710-5 4.415705-1 1.177495-5 4.786301-1 9.300209-6 5.128614-1 7.640672-6 5.559043-1 6.116708-6 6.025596-1 4.930771-6 6.531306-1 4.001534-6 7.079458-1 3.269494-6 7.673615-1 2.689482-6 8.413951-1 2.167229-6 9.120108-1 1.807391-6 9.772372-1 1.557513-6 1.083927+0 1.259422-6 1.161449+0 1.098643-6 1.273503+0 9.228685-7 1.412538+0 7.644622-7 1.584893+0 6.253165-7 1.778279+0 5.153193-7 2.018366+0 4.197743-7 2.264644+0 3.508405-7 2.570396+0 2.903023-7 2.951209+0 2.380454-7 3.427678+0 1.934339-7 4.000000+0 1.573700-7 4.731513+0 1.267312-7 5.688529+0 1.007118-7 6.918310+0 7.949817-8 8.609938+0 6.151470-8 1.109175+1 4.610380-8 1.412538+1 3.525697-8 1.883649+1 2.578865-8 2.818383+1 1.680630-8 4.677351+1 9.926189-9 8.709636+1 5.254411-9 1.737801+2 2.611489-9 3.467369+2 1.303300-9 2.754229+3 1.63397-10 1.000000+5 4.49890-12 1 21000 7 0 4.495800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 3.906000-5 1.351000-5 1.000000+5 1.351000-5 1 21000 7 7 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.906000-5 2.109900-9 1.000000+5 2.109900-9 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.906000-5 2.554789-5 1.000000+5 1.000000+5 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 7.080000-6 5.282720+5 7.413102-6 5.741206+5 7.762471-6 6.200174+5 8.222426-6 6.770837+5 8.709636-6 7.331490+5 9.225714-6 7.880705+5 9.850000-6 8.483720+5 1.050000-5 9.053800+5 1.122018-5 9.620181+5 1.202264-5 1.017730+6 1.303167-5 1.078058+6 1.412538-5 1.132922+6 1.513561-5 1.174314+6 1.621810-5 1.209319+6 1.737801-5 1.236693+6 1.850000-5 1.252856+6 1.980000-5 1.260692+6 2.089296-5 1.258925+6 2.213095-5 1.248631+6 2.350000-5 1.228332+6 2.483133-5 1.201390+6 2.630268-5 1.165596+6 2.786121-5 1.122929+6 2.951209-5 1.074474+6 3.150000-5 1.014516+6 3.350000-5 9.548560+5 3.589219-5 8.861154+5 3.890451-5 8.056491+5 4.216965-5 7.268297+5 4.570882-5 6.504798+5 4.900000-5 5.871840+5 5.248075-5 5.269478+5 5.623413-5 4.691469+5 6.000000-5 4.174720+5 6.400000-5 3.692052+5 6.839116-5 3.230253+5 7.413102-5 2.725043+5 8.128305-5 2.223113+5 8.912509-5 1.800876+5 9.800000-5 1.440532+5 1.083927-4 1.127721+5 1.190000-4 8.914920+4 1.303167-4 7.035641+4 1.428894-4 5.496365+4 1.584893-4 4.136088+4 1.757924-4 3.093518+4 1.949845-4 2.297664+4 2.187762-4 1.637754+4 2.483133-4 1.120580+4 2.818383-4 7.610371+3 3.162278-4 5.316393+3 3.589219-4 3.555416+3 4.073803-4 2.359817+3 4.623810-4 1.554807+3 5.248075-4 1.017052+3 5.956621-4 6.605225+2 6.760830-4 4.257908+2 7.673615-4 2.725062+2 8.810489-4 1.662193+2 9.885531-4 1.093329+2 1.122018-3 6.845451+1 1.258925-3 4.441519+1 1.412538-3 2.861960+1 1.566751-3 1.914765+1 1.757924-3 1.216379+1 1.972423-3 7.673791+0 2.213095-3 4.803970+0 2.511886-3 2.849022+0 2.917427-3 1.524230+0 3.507519-3 7.006220-1 4.216965-3 3.194747-1 5.248075-3 1.246357-1 6.025596-3 6.841804-2 6.918310-3 3.724819-2 8.000000-3 1.949976-2 9.332543-3 9.730222-3 1.096478-2 4.665212-3 1.318257-2 1.997946-3 1.862087-2 4.026885-4 2.511886-2 9.963168-5 3.198895-2 3.207126-5 4.897788-2 4.330862-6 6.309573-2 1.326367-6 7.585776-2 5.645920-7 8.912509-2 2.693773-7 1.023293-1 1.438321-7 1.174898-1 7.737102-8 1.333521-1 4.415200-8 1.500000-1 2.640600-8 1.678804-1 1.625651-8 1.862087-1 1.047175-8 2.065380-1 6.790701-9 2.290868-1 4.435070-9 2.540973-1 2.918638-9 2.786121-1 2.025724-9 3.054921-1 1.415345-9 3.349654-1 9.95684-10 3.672823-1 7.05397-10 4.027170-1 5.03349-10 4.415705-1 3.61784-10 4.841724-1 2.62073-10 5.248075-1 1.98978-10 5.688529-1 1.52059-10 6.309573-1 1.08583-10 6.760830-1 8.73007-11 7.244360-1 7.06732-11 7.673615-1 5.96344-11 8.413951-1 4.58700-11 8.912509-1 3.91554-11 9.332543-1 3.46774-11 9.772372-1 3.08901-11 1.023293+0 2.77069-11 1.071519+0 2.50263-11 1.130300+0 2.24110-11 1.188502+0 2.03305-11 1.273503+0 1.79146-11 1.380384+0 1.55653-11 1.798871+0 9.96475-12 2.018366+0 8.26534-12 2.264644+0 6.90834-12 2.570396+0 5.71628-12 2.951209+0 4.68715-12 3.427678+0 3.80872-12 4.000000+0 3.09860-12 4.731513+0 2.49528-12 5.688529+0 1.98300-12 6.918310+0 1.56530-12 8.511380+0 1.22746-12 1.096478+1 9.19610-13 1.400000+1 7.01050-13 1.862087+1 5.14111-13 2.800000+1 3.33200-13 4.677351+1 1.95445-13 8.709636+1 1.03460-13 1.737801+2 5.14205-14 6.918310+2 1.28326-14 1.096478+4 8.08105-16 1.000000+5 8.85830-17 1 21000 7 0 4.495800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 7.080000-6 7.080000-6 1.000000+5 7.080000-6 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 7.080000-6 0.0 1.000000+5 1.000000+5 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 7.040000-6 8.013720+5 7.413102-6 8.786323+5 7.762471-6 9.477823+5 8.200000-6 1.029414+6 8.609938-6 1.100801+6 9.120108-6 1.183365+6 9.700000-6 1.269156+6 1.035142-5 1.355974+6 1.109175-5 1.444299+6 1.188502-5 1.528076+6 1.273503-5 1.606615+6 1.380384-5 1.690341+6 1.479108-5 1.754013+6 1.584893-5 1.808680+6 1.698244-5 1.851881+6 1.819701-5 1.882069+6 1.927525-5 1.895608+6 2.041738-5 1.896836+6 2.162719-5 1.885310+6 2.290868-5 1.860286+6 2.426610-5 1.822616+6 2.570396-5 1.772774+6 2.730000-5 1.708464+6 2.900000-5 1.634100+6 3.090295-5 1.548033+6 3.300000-5 1.452888+6 3.548134-5 1.344456+6 3.801894-5 1.240725+6 4.120975-5 1.121121+6 4.466836-5 1.005575+6 4.800000-5 9.058680+5 5.150000-5 8.124420+5 5.500000-5 7.285620+5 5.900000-5 6.435600+5 6.237348-5 5.798326+5 6.683439-5 5.057919+5 7.161434-5 4.381613+5 7.852356-5 3.586051+5 8.709636-5 2.834988+5 9.549926-5 2.285280+5 1.040000-4 1.861968+5 1.148154-4 1.456355+5 1.273503-4 1.114685+5 1.412538-4 8.452620+4 1.603245-4 5.968756+4 1.778279-4 4.458771+4 1.950000-4 3.420018+4 2.187762-4 2.437696+4 2.483133-4 1.667026+4 2.818383-4 1.131615+4 3.162278-4 7.902477+3 3.589219-4 5.283278+3 4.073803-4 3.505178+3 4.623810-4 2.307921+3 5.308844-4 1.451274+3 6.025596-4 9.414741+2 6.839116-4 6.063753+2 7.762471-4 3.877051+2 8.810489-4 2.460662+2 1.000000-3 1.550654+2 1.135011-3 9.696889+1 1.273503-3 6.283782+1 1.412538-3 4.226198+1 1.584893-3 2.700433+1 1.778279-3 1.713455+1 2.000000-3 1.069400+1 2.264644-3 6.437184+0 2.570396-3 3.809558+0 2.951209-3 2.133939+0 3.520240-3 1.013308+0 4.120975-3 5.171649-1 4.841724-3 2.580051-1 5.688529-3 1.277563-1 6.683439-3 6.279667-2 7.762471-3 3.224382-2 8.810489-3 1.821413-2 1.023293-2 9.205203-3 1.216186-2 4.155377-3 1.479108-2 1.673504-3 1.905461-2 5.132671-4 2.511886-2 1.402322-4 3.162278-2 4.729901-5 5.128614-2 4.789300-6 6.918310-2 1.169918-6 8.128305-2 5.514393-7 9.440609-2 2.762967-7 1.071519-1 1.550283-7 1.216186-1 8.763190-8 1.364583-1 5.255380-8 1.531088-1 3.176068-8 1.698244-1 2.033023-8 1.862087-1 1.376360-8 2.041738-1 9.380833-9 2.238721-1 6.441280-9 2.454709-1 4.455411-9 2.691535-1 3.105235-9 2.917427-1 2.278592-9 3.198895-1 1.611721-9 3.467369-1 1.199013-9 3.758374-1 8.98844-10 4.027170-1 7.06919-10 4.315191-1 5.59981-10 4.623810-1 4.46677-10 4.954502-1 3.58881-10 5.308844-1 2.90874-10 5.754399-1 2.29568-10 6.382635-1 1.70835-10 6.918310-1 1.36720-10 7.444800-1 1.12420-10 8.035261-1 9.24342-11 8.609938-1 7.78195-11 9.225714-1 6.59649-11 9.772372-1 5.78607-11 1.035142+0 5.11073-11 1.109175+0 4.43138-11 1.174898+0 3.95831-11 1.273503+0 3.40524-11 1.396368+0 2.88628-11 1.621810+0 2.22903-11 1.840772+0 1.80475-11 2.065380+0 1.50006-11 2.317395+0 1.25566-11 2.630268+0 1.04040-11 3.019952+0 8.54097-12 3.507519+0 6.94811-12 4.120975+0 5.60916-12 4.897788+0 4.49603-12 5.888437+0 3.57792-12 7.244360+0 2.78957-12 9.015711+0 2.16196-12 1.161449+1 1.62271-12 1.500000+1 1.22330-12 2.018366+1 8.87623-13 2.917427+1 6.00818-13 4.786301+1 3.59246-13 8.912509+1 1.90225-13 1.778279+2 9.45617-14 7.079458+2 2.36033-14 1.122018+4 1.48638-15 1.000000+5 1.66730-16 1 21000 7 0 4.495800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 7.040000-6 7.040000-6 1.000000+5 7.040000-6 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 7.040000-6 0.0 1.000000+5 1.000000+5 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 5.900000-6 7.022820+5 5.956621-6 6.513025+5 6.050000-6 5.697440+5 6.165950-6 4.814142+5 6.270000-6 4.124580+5 6.350000-6 3.654000+5 6.460000-6 3.081200+5 6.550000-6 2.669620+5 6.650000-6 2.266200+5 6.730000-6 1.980722+5 6.810000-6 1.724670+5 6.890000-6 1.495190+5 6.960000-6 1.314462+5 7.020000-6 1.173304+5 7.100000-6 1.003402+5 7.170000-6 8.704980+4 7.244360-6 7.440724+4 7.310000-6 6.440940+4 7.365000-6 5.680560+4 7.420000-6 4.986260+4 7.480000-6 4.299360+4 7.520000-6 3.879840+4 7.570000-6 3.396240+4 7.620000-6 2.955600+4 7.670000-6 2.555420+4 7.715000-6 2.228020+4 7.762471-6 1.914259+4 7.790000-6 1.746484+4 7.830000-6 1.520590+4 7.865000-6 1.339436+4 7.900000-6 1.173100+4 7.930000-6 1.041864+4 7.960000-6 9.206640+3 7.990000-6 8.091720+3 8.020000-6 7.070160+3 8.050000-6 6.138760+3 8.070000-6 5.566280+3 8.100000-6 4.777860+3 8.128305-6 4.108942+3 8.150000-6 3.643960+3 8.180000-6 3.066840+3 8.210000-6 2.563720+3 8.240000-6 2.131940+3 8.290000-6 1.563590+3 8.310000-6 1.387020+3 8.330000-6 1.238394+3 8.345000-6 1.144844+3 8.357000-6 1.080840+3 8.369000-6 1.026352+3 8.380000-6 9.845720+2 8.390000-6 9.533000+2 8.400000-6 9.283420+2 8.410000-6 9.096080+2 8.420000-6 8.970260+2 8.430000-6 8.905120+2 8.440000-6 8.900240+2 8.450000-6 8.954220+2 8.460000-6 9.066580+2 8.470000-6 9.236580+2 8.480000-6 9.463460+2 8.490000-6 9.746540+2 8.502000-6 1.015932+3 8.515000-6 1.069536+3 8.527000-6 1.127054+3 8.542000-6 1.209626+3 8.560000-6 1.324070+3 8.585000-6 1.510114+3 8.650000-6 2.134420+3 8.680000-6 2.487400+3 8.710000-6 2.879180+3 8.740000-6 3.308140+3 8.770000-6 3.772660+3 8.800000-6 4.271500+3 8.830000-6 4.803140+3 8.865000-6 5.462840+3 8.900000-6 6.163440+3 8.930000-6 6.794820+3 8.960000-6 7.453080+3 9.000000-6 8.371500+3 9.035000-6 9.210920+3 9.070000-6 1.008154+4 9.110000-6 1.111364+4 9.150000-6 1.218190+4 9.200000-6 1.356620+4 9.240000-6 1.470886+4 9.295000-6 1.632904+4 9.350000-6 1.799956+4 9.400000-6 1.955914+4 9.460000-6 2.147560+4 9.520000-6 2.343760+4 9.600000-6 2.611340+4 9.670000-6 2.850420+4 9.730000-6 3.058440+4 9.810000-6 3.339500+4 9.890000-6 3.623960+4 1.000000-5 4.019200+4 1.010000-5 4.381180+4 1.020000-5 4.744440+4 1.031000-5 5.144160+4 1.042000-5 5.542760+4 1.055000-5 6.010840+4 1.070000-5 6.544980+4 1.085000-5 7.070780+4 1.100000-5 7.586580+4 1.115000-5 8.091080+4 1.135011-5 8.744747+4 1.157000-5 9.435600+4 1.180000-5 1.012580+5 1.207000-5 1.089246+5 1.230269-5 1.151499+5 1.260000-5 1.225914+5 1.290000-5 1.295284+5 1.320000-5 1.359092+5 1.350000-5 1.417580+5 1.380384-5 1.471681+5 1.420000-5 1.534972+5 1.462177-5 1.594075+5 1.515000-5 1.657282+5 1.570000-5 1.711772+5 1.630000-5 1.759704+5 1.698244-5 1.801636+5 1.778279-5 1.836744+5 1.874100-5 1.862503+5 1.980000-5 1.874922+5 2.089296-5 1.874543+5 2.230000-5 1.859816+5 2.371374-5 1.833774+5 2.540973-5 1.793136+5 2.754229-5 1.733492+5 2.985383-5 1.662949+5 3.235937-5 1.584213+5 3.507519-5 1.499397+5 3.845918-5 1.397243+5 4.168694-5 1.304635+5 4.570882-5 1.196821+5 5.000000-5 1.091952+5 5.500000-5 9.829160+4 6.095369-5 8.699639+4 6.839116-5 7.525586+4 7.762471-5 6.367092+4 9.225714-5 5.028864+4 1.150000-4 3.688940+4 1.737801-4 2.037247+4 2.000000-4 1.654198+4 2.238721-4 1.387583+4 2.540973-4 1.130234+4 2.951209-4 8.797736+3 3.548134-4 6.421176+3 4.570882-4 4.124643+3 5.188000-4 3.286770+3 6.382635-4 2.243303+3 7.852356-4 1.521207+3 9.120108-4 1.140155+3 1.122018-3 7.580936+2 1.348963-3 5.236020+2 1.584893-3 3.762001+2 1.862087-3 2.683641+2 2.187762-3 1.899834+2 2.540973-3 1.368444+2 3.000000-3 9.429153+1 3.467369-3 6.761452+1 4.027170-3 4.758807+1 4.731513-3 3.234278+1 5.559043-3 2.180972+1 6.531306-3 1.459097+1 7.673615-3 9.685455+0 9.015711-3 6.379311+0 1.047129-2 4.298690+0 1.230269-2 2.789029+0 1.445440-2 1.796434+0 1.717908-2 1.112661+0 2.041738-2 6.838833-1 2.426610-2 4.172623-1 2.917427-2 2.444697-1 3.507519-2 1.421541-1 4.315191-2 7.662528-2 5.308844-2 4.098617-2 6.760830-2 1.958300-2 9.332543-2 7.248808-3 1.566751-1 1.452798-3 1.949845-1 7.417082-4 2.344229-1 4.234788-4 2.722701-1 2.705116-4 3.126079-1 1.801988-4 3.507519-1 1.292875-4 3.935501-1 9.343123-5 4.365158-1 7.024067-5 4.841724-1 5.319692-5 5.308844-1 4.183692-5 5.821032-1 3.312658-5 6.382635-1 2.641839-5 6.998420-1 2.122466-5 7.673615-1 1.718029-5 8.413951-1 1.401407-5 9.225714-1 1.152104-5 1.000000+0 9.769200-6 1.148154+0 7.428287-6 1.273503+0 6.093875-6 1.412538+0 5.037381-6 1.548817+0 4.280686-6 1.717908+0 3.590296-6 1.949845+0 2.919265-6 2.187762+0 2.434716-6 2.454709+0 2.044900-6 2.786121+0 1.700040-6 3.235937+0 1.377552-6 3.758374+0 1.124615-6 4.415704+0 9.108998-7 5.308844+0 7.218267-7 6.456542+0 5.682725-7 8.000000+0 4.408800-7 1.011579+1 3.366628-7 1.318257+1 2.503151-7 1.798871+1 1.783405-7 2.570396+1 1.219522-7 3.198895+1 9.693797-8 4.841724+1 6.304301-8 9.120108+1 3.299892-8 1.819701+2 1.640614-8 7.244360+2 4.095858-9 1.148154+4 2.57940-10 1.000000+5 2.96080-11 1 21000 7 0 4.495800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 5.900000-6 5.900000-6 1.000000+5 5.900000-6 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 5.900000-6 0.0 1.000000+5 1.000000+5 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.849980-8 1.028750+0 1.849980-7 1.034000+0 1.025110-6 1.035300+0 1.391440-6 1.036640+0 1.849980-6 1.038200+0 2.496610-6 1.039700+0 3.243600-6 1.041500+0 4.315570-6 1.043800+0 5.990150-6 1.046400+0 8.334180-6 1.048300+0 1.037630-5 1.051200+0 1.407520-5 1.054080+0 1.849980-5 1.057700+0 2.521630-5 1.061100+0 3.280000-5 1.065100+0 4.342340-5 1.070400+0 6.057980-5 1.076200+0 8.372070-5 1.080600+0 1.045530-4 1.087100+0 1.408690-4 1.093710+0 1.849980-4 1.102600+0 2.565060-4 1.110700+0 3.345490-4 1.120600+0 4.475540-4 1.133300+0 6.223390-4 1.147500+0 8.593120-4 1.158200+0 1.067910-3 1.174100+0 1.427190-3 1.190110+0 1.849980-3 1.205100+0 2.302100-3 1.227500+0 3.080290-3 1.250000+0 3.983000-3 1.280300+0 5.381760-3 1.307700+0 6.818680-3 1.343000+0 8.896430-3 1.382200+0 1.148140-2 1.433800+0 1.529500-2 1.500000+0 2.083000-2 1.562500+0 2.669370-2 1.617200+0 3.230590-2 1.712900+0 4.310250-2 1.784700+0 5.191780-2 1.892300+0 6.606580-2 2.000000+0 8.107000-2 2.044000+0 8.736000-2 2.215800+0 1.123680-1 2.359600+0 1.335460-1 2.588300+0 1.671710-1 2.862800+0 2.070130-1 3.000000+0 2.267000-1 3.437500+0 2.883700-1 4.000000+0 3.640000-1 4.750000+0 4.565970-1 5.000000+0 4.857000-1 6.000000+0 5.944000-1 7.000000+0 6.910000-1 8.000000+0 7.780000-1 9.000000+0 8.567000-1 1.000000+1 9.280000-1 1.100000+1 9.928000-1 1.200000+1 1.052000+0 1.300000+1 1.107000+0 1.400000+1 1.158000+0 1.500000+1 1.206000+0 1.600000+1 1.251000+0 1.800000+1 1.333000+0 2.000000+1 1.406000+0 2.200000+1 1.472000+0 2.400000+1 1.532000+0 2.600000+1 1.587000+0 2.800000+1 1.638000+0 3.000000+1 1.685000+0 4.000000+1 1.877000+0 5.000000+1 2.020000+0 6.000000+1 2.132000+0 8.000000+1 2.298000+0 1.000000+2 2.418000+0 1.500000+2 2.612000+0 2.000000+2 2.731000+0 3.000000+2 2.871000+0 4.000000+2 2.952000+0 5.000000+2 3.007000+0 6.000000+2 3.046000+0 8.000000+2 3.099000+0 1.000000+3 3.133000+0 1.500000+3 3.183000+0 2.000000+3 3.210000+0 3.000000+3 3.239000+0 4.000000+3 3.255000+0 5.000000+3 3.266000+0 6.000000+3 3.273000+0 8.000000+3 3.282000+0 1.000000+4 3.288000+0 1.500000+4 3.296000+0 2.000000+4 3.300000+0 3.000000+4 3.305000+0 4.000000+4 3.307000+0 5.000000+4 3.309000+0 6.000000+4 3.310000+0 8.000000+4 3.311000+0 1.000000+5 3.312000+0 1 21000 7 8 4.495800+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 2.108760-7 2.119500+0 1.183530-6 2.127900+0 1.605090-6 2.136250+0 2.108760-6 2.147000+0 2.891260-6 2.156900+0 3.755400-6 2.169000+0 5.011810-6 2.184500+0 6.966590-6 2.201800+0 9.638470-6 2.214800+0 1.200880-5 2.234200+0 1.615390-5 2.253680+0 2.108760-5 2.281500+0 2.953690-5 2.307000+0 3.879670-5 2.338200+0 5.216550-5 2.377400+0 7.224300-5 2.410200+0 9.188110-5 2.446800+0 1.168780-4 2.485900+0 1.471560-4 2.532900+0 1.883270-4 2.556430+0 2.108760-4 2.611900+0 2.688890-4 2.660400+0 3.250720-4 2.745300+0 4.350850-4 2.809000+0 5.269100-4 2.904500+0 6.787780-4 3.000000+0 8.473000-4 3.125000+0 1.092600-3 3.234400+0 1.329500-3 3.425800+0 1.790530-3 3.569300+0 2.171390-3 3.784700+0 2.791790-3 4.000000+0 3.459000-3 4.250000+0 4.275100-3 4.625000+0 5.558180-3 5.000000+0 6.892000-3 5.500000+0 8.722230-3 6.000000+0 1.058000-2 6.750000+0 1.335590-2 7.000000+0 1.427000-2 8.000000+0 1.784000-2 9.000000+0 2.126000-2 1.000000+1 2.452000-2 1.100000+1 2.760000-2 1.200000+1 3.052000-2 1.300000+1 3.327000-2 1.400000+1 3.590000-2 1.500000+1 3.838000-2 1.600000+1 4.075000-2 1.800000+1 4.515000-2 2.000000+1 4.917000-2 2.200000+1 5.286000-2 2.400000+1 5.626000-2 2.600000+1 5.941000-2 2.800000+1 6.234000-2 3.000000+1 6.507000-2 4.000000+1 7.649000-2 5.000000+1 8.527000-2 6.000000+1 9.232000-2 8.000000+1 1.031000-1 1.000000+2 1.111000-1 1.500000+2 1.246000-1 2.000000+2 1.333000-1 3.000000+2 1.441000-1 4.000000+2 1.508000-1 5.000000+2 1.555000-1 6.000000+2 1.589000-1 8.000000+2 1.638000-1 1.000000+3 1.670000-1 1.500000+3 1.720000-1 2.000000+3 1.749000-1 3.000000+3 1.780000-1 4.000000+3 1.799000-1 5.000000+3 1.810000-1 6.000000+3 1.819000-1 8.000000+3 1.830000-1 1.000000+4 1.837000-1 1.500000+4 1.846000-1 2.000000+4 1.852000-1 3.000000+4 1.857000-1 4.000000+4 1.861000-1 5.000000+4 1.863000-1 6.000000+4 1.864000-1 8.000000+4 1.865000-1 1.000000+5 1.867000-1 1 21000 7 8 4.495800+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 21000 7 9 4.495800+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 2.100000+1 1.000000+5 2.100000+1 5.000000+5 2.098700+1 1.000000+6 2.095800+1 1.375000+6 2.092510+1 1.500000+6 2.091300+1 1.875000+6 2.086330+1 2.000000+6 2.084600+1 2.375000+6 2.078340+1 2.500000+6 2.076200+1 2.875000+6 2.068740+1 3.000000+6 2.066200+1 3.437500+6 2.055980+1 3.812500+6 2.046630+1 4.000000+6 2.041800+1 4.437500+6 2.029560+1 4.812500+6 2.018650+1 5.000000+6 2.013000+1 5.500000+6 1.996790+1 5.875000+6 1.984150+1 6.000000+6 1.979960+1 6.437500+6 1.964570+1 7.000000+6 1.944600+1 7.687500+6 1.919560+1 8.437500+6 1.891930+1 8.500000+6 1.889600+1 9.000000+6 1.871200+1 9.750000+6 1.843200+1 1.000000+7 1.834100+1 1.125000+7 1.789040+1 1.187500+7 1.767240+1 1.250000+7 1.745800+1 1.500000+7 1.663200+1 1.750000+7 1.585900+1 2.000000+7 1.512500+1 2.250000+7 1.440980+1 2.375000+7 1.406010+1 2.500000+7 1.371600+1 2.750000+7 1.304470+1 2.875000+7 1.271880+1 3.000000+7 1.240200+1 3.250000+7 1.179150+1 3.437500+7 1.135980+1 3.625000+7 1.095150+1 3.812500+7 1.056660+1 4.000000+7 1.020600+1 4.500000+7 9.356070+0 5.000000+7 8.662100+0 5.500000+7 8.107750+0 5.750000+7 7.871850+0 6.000000+7 7.659600+0 6.750000+7 7.131620+0 7.000000+7 6.980100+0 8.000000+7 6.442900+0 8.750000+7 6.072490+0 9.000000+7 5.951900+0 9.750000+7 5.591980+0 1.000000+8 5.473400+0 1.062500+8 5.178370+0 1.109400+8 4.959070+0 1.179700+8 4.635780+0 1.250000+8 4.319500+0 1.312500+8 4.046370+0 1.406300+8 3.661810+0 1.437500+8 3.542020+0 1.500000+8 3.315500+0 1.625000+8 2.914870+0 1.718800+8 2.657040+0 2.000000+8 2.069200+0 2.125000+8 1.877880+0 2.218800+8 1.759360+0 2.315400+8 1.658220+0 2.375000+8 1.605750+0 2.381300+8 1.600730+0 2.460400+8 1.542960+0 2.500000+8 1.518500+0 3.000000+8 1.316500+0 3.500000+8 1.114500+0 4.000000+8 9.958000-1 4.179700+8 9.532670-1 4.330100+8 9.162370-1 4.569300+8 8.571950-1 4.856400+8 7.898650-1 5.000000+8 7.585000-1 5.343800+8 6.892940-1 5.578100+8 6.448200-1 5.789100+8 6.055800-1 6.000000+8 5.667000-1 6.250000+8 5.214120-1 6.718800+8 4.486150-1 6.906300+8 4.256400-1 7.000000+8 4.156000-1 7.250000+8 3.929900-1 7.625000+8 3.639520-1 7.812500+8 3.493530-1 8.000000+8 3.338000-1 8.183600+8 3.173270-1 8.352100+8 3.016110-1 8.558000+8 2.821860-1 8.822400+8 2.577870-1 9.116800+8 2.321990-1 1.000000+9 1.703000-1 1.031300+9 1.538600-1 1.500000+9 4.819200-2 1.562500+9 4.216990-2 1.671900+9 3.357220-2 1.753900+9 2.844790-2 1.877000+9 2.239360-2 2.000000+9 1.784500-2 2.187500+9 1.291150-2 2.539100+9 7.492030-3 2.846700+9 4.913490-3 3.385000+9 2.578340-3 4.192500+9 1.154410-3 5.000000+9 5.937900-4 7.250000+9 1.459060-4 8.000000+9 1.007100-4 9.500000+9 5.287460-5 1.00000+10 4.366500-5 1.20500+10 2.189810-5 1.41820+10 1.206320-5 1.71170+10 6.105380-6 2.01490+10 3.404290-6 2.26440+10 2.248480-6 2.74790+10 1.137370-6 3.20120+10 6.677410-7 3.62610+10 4.337300-7 4.42280+10 2.193440-7 5.12000+10 1.332750-7 6.34000+10 6.479930-8 7.94120+10 3.054040-8 1.00000+11 1.424500-8 1.26840+11 6.535490-9 1.58400+11 3.175600-9 2.01970+11 1.452080-9 2.73980+11 5.49100-10 3.88950+11 1.81883-10 6.15400+11 4.35982-11 1.00720+12 9.60683-12 2.47350+12 6.38630-13 6.23720+12 4.12006-14 1.00000+14 1.25550-17 5.62340+14 7.82137-20 5.42470+15 9.22355-23 1.00000+17 1.47750-26 1 21000 7 0 4.495800+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 6.70000-12 1.000000+2 6.70000-10 1.000000+3 6.700000-8 1.000000+4 6.700000-6 1.000000+5 6.700000-4 5.000000+5 1.675000-2 1.000000+6 6.700000-2 1.375000+6 1.254910-1 1.500000+6 1.488000-1 1.875000+6 2.294140-1 2.000000+6 2.597000-1 2.375000+6 3.599320-1 2.500000+6 3.963000-1 2.875000+6 5.132580-1 3.000000+6 5.547000-1 3.437500+6 7.079110-1 3.812500+6 8.477260-1 4.000000+6 9.200000-1 4.437500+6 1.092890+0 4.812500+6 1.244420+0 5.000000+6 1.321000+0 5.500000+6 1.525420+0 5.875000+6 1.678130+0 6.000000+6 1.728640+0 6.437500+6 1.903410+0 7.000000+6 2.122000+0 7.687500+6 2.376830+0 8.437500+6 2.639120+0 8.500000+6 2.660230+0 9.000000+6 2.825500+0 9.750000+6 3.060550+0 1.000000+7 3.136000+0 1.125000+7 3.494630+0 1.187500+7 3.665900+0 1.250000+7 3.834200+0 1.500000+7 4.492000+0 1.750000+7 5.147800+0 2.000000+7 5.801000+0 2.250000+7 6.436670+0 2.375000+7 6.744530+0 2.500000+7 7.045600+0 2.750000+7 7.622710+0 2.875000+7 7.899270+0 3.000000+7 8.169000+0 3.250000+7 8.685270+0 3.437500+7 9.054520+0 3.625000+7 9.408100+0 3.812500+7 9.746610+0 4.000000+7 1.007100+1 4.500000+7 1.086560+1 5.000000+7 1.156100+1 5.500000+7 1.216260+1 5.750000+7 1.243140+1 6.000000+7 1.268400+1 6.750000+7 1.334750+1 7.000000+7 1.354500+1 8.000000+7 1.425600+1 8.750000+7 1.473350+1 9.000000+7 1.488500+1 9.750000+7 1.531980+1 1.000000+8 1.546000+1 1.062500+8 1.579520+1 1.109400+8 1.603580+1 1.179700+8 1.637590+1 1.250000+8 1.669400+1 1.312500+8 1.695550+1 1.406300+8 1.731160+1 1.437500+8 1.742260+1 1.500000+8 1.763000+1 1.625000+8 1.799300+1 1.718800+8 1.822880+1 2.000000+8 1.878200+1 2.125000+8 1.896790+1 2.218800+8 1.909210+1 2.315400+8 1.920560+1 2.375000+8 1.927190+1 2.381300+8 1.927850+1 2.460400+8 1.935800+1 2.500000+8 1.939700+1 3.000000+8 1.979400+1 3.500000+8 2.009300+1 4.000000+8 2.032600+1 4.179700+8 2.039540+1 4.330100+8 2.044860+1 4.569300+8 2.052580+1 4.856400+8 2.060440+1 5.000000+8 2.064100+1 5.343800+8 2.071170+1 5.578100+8 2.075280+1 5.789100+8 2.078410+1 6.000000+8 2.081300+1 6.250000+8 2.083970+1 6.718800+8 2.088220+1 6.906300+8 2.089620+1 7.000000+8 2.090300+1 7.250000+8 2.091580+1 7.625000+8 2.093430+1 7.812500+8 2.094240+1 8.000000+8 2.094900+1 8.183600+8 2.095360+1 8.352100+8 2.095760+1 8.558000+8 2.096250+1 8.822400+8 2.096860+1 9.116800+8 2.097420+1 1.000000+9 2.098500+1 1.031300+9 2.098660+1 1.500000+9 2.099900+1 1.562500+9 2.099910+1 1.671900+9 2.099940+1 1.753900+9 2.099950+1 1.877000+9 2.099980+1 2.000000+9 2.100000+1 2.187500+9 2.100000+1 2.539100+9 2.100000+1 2.846700+9 2.100000+1 3.385000+9 2.100000+1 4.192500+9 2.100000+1 5.000000+9 2.100000+1 7.250000+9 2.100000+1 8.000000+9 2.100000+1 9.500000+9 2.100000+1 1.00000+10 2.100000+1 1.20500+10 2.100000+1 1.41820+10 2.100000+1 1.71170+10 2.100000+1 2.01490+10 2.100000+1 2.26440+10 2.100000+1 2.74790+10 2.100000+1 3.20120+10 2.100000+1 3.62610+10 2.100000+1 4.42280+10 2.100000+1 5.12000+10 2.100000+1 6.34000+10 2.100000+1 7.94120+10 2.100000+1 1.00000+11 2.100000+1 1.26840+11 2.100000+1 1.58400+11 2.100000+1 2.01970+11 2.100000+1 2.73980+11 2.100000+1 3.88950+11 2.100000+1 6.15400+11 2.100000+1 1.00720+12 2.100000+1 2.47350+12 2.100000+1 6.23720+12 2.100000+1 1.00000+14 2.100000+1 5.62340+14 2.100000+1 5.42470+15 2.100000+1 1.00000+17 2.100000+1 1 21000 7 0 4.495800+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.570754-6 0.0 2.581827-6 3.311995+0 2.583409-6 3.780309+0 2.589737-6 6.916774+0 2.596092-6 1.551239+1 2.602466-6 2.581599+1 2.608840-6 4.008479+1 2.616011-6 6.077032+1 2.631648-6 1.111978+2 2.634736-6 1.200613+2 2.641297-6 1.332593+2 2.647318-6 1.381769+2 2.654136-6 1.334085+2 2.660980-6 1.191429+2 2.668499-6 9.603733+1 2.678957-6 6.019586+1 2.685331-6 4.104856+1 2.691706-6 2.586352+1 2.697306-6 1.554511+1 2.698080-6 1.436034+1 2.704454-6 7.899744+0 2.714015-6 2.008147+0 2.717203-6 0.0 3.670505-6 0.0 3.686316-6 3.06257-14 3.688574-6 3.49561-14 3.689468-6 3.78099-14 3.705360-6 1.455903-1 3.707631-6 1.661767-1 3.711555-6 2.254485-1 3.716712-6 3.300590-1 3.725793-6 5.845234-1 3.730518-6 7.587070-1 3.736009-6 9.933434-1 3.745260-6 1.466291+0 3.771199-6 2.922534+0 3.781415-6 3.260888+0 3.790496-6 3.352618+0 3.799577-6 3.224733+0 3.809794-6 2.850967+0 3.822848-6 2.174701+0 3.834767-6 1.512220+0 3.843848-6 1.068050+0 3.852929-6 7.096823-1 3.859069-6 5.219782-1 3.866859-6 3.130028-1 3.871092-6 2.196785-1 3.875994-6 1.600783-1 3.886615-6 7.590404-2 3.894265-6 2.173743-2 3.895798-6 1.912241-2 3.904980-6 9.710573-3 3.914162-6 4.37971-15 3.921981-6 2.58842-15 3.931225-6 1.31443-15 3.940469-6 0.0 4.330012-6 0.0 4.330500-6 1.851467-7 4.345374-6 1.421676-5 4.350635-6 1.847603-2 4.366765-6 1.978720-1 4.372643-6 2.790252-1 4.377461-6 3.674677-1 4.383301-6 4.955667-1 4.388156-6 6.307121-1 4.394454-6 8.331443-1 4.405920-6 1.299190+0 4.430939-6 2.491885+0 4.441634-6 2.886548+0 4.449081-6 3.044989+0 4.459740-6 3.090428+0 4.470399-6 2.902273+0 4.481356-6 2.505826+0 4.508755-6 1.214245+0 4.511703-6 1.084722+0 4.521971-6 7.051500-1 4.527199-6 5.564650-1 4.533021-6 4.104256-1 4.537895-6 3.184439-1 4.543680-6 2.242838-1 4.559286-6 4.450441-2 4.564805-6 0.0 4.855342-6 0.0 4.867293-6 2.211246-9 4.879244-6 4.375447-9 4.891194-6 7.992112-9 4.896392-6 1.037360-8 4.903145-6 1.426769-8 4.915096-6 2.315305-8 4.927047-6 3.419274-8 4.953799-6 6.276018-8 4.954033-6 8.950786-8 4.959781-6 1.723830-6 4.961987-6 1.230790-3 4.984197-6 4.155497-2 4.986801-6 4.750836-2 4.996405-6 7.632253-2 4.998752-6 8.460609-2 5.010840-6 1.407335-1 5.023053-6 2.176522-1 5.057444-6 4.841366-1 5.071907-6 5.617194-1 5.084120-6 5.834147-1 5.096333-6 5.595295-1 5.108547-6 4.955043-1 5.145187-6 2.132612-1 5.157400-6 1.372689-1 5.169613-6 8.157824-2 5.179523-6 5.101393-2 5.181826-6 4.476226-2 5.197907-6 1.464772-2 5.203939-6 3.089620-3 5.206253-6 0.0 5.230156-6 0.0 5.245587-6 9.40981-12 5.246719-6 2.056746-4 5.272547-6 1.587945-2 5.285461-6 2.890146-2 5.298375-6 4.856985-2 5.311289-6 7.536489-2 5.348877-6 1.718336-1 5.362946-6 1.966973-1 5.375860-6 2.047770-1 5.388774-6 1.968265-1 5.402387-6 1.730173-1 5.439257-6 9.046972-2 5.450386-6 7.379774-2 5.455576-6 7.249096-2 5.466259-6 7.551049-2 5.477991-6 8.694030-2 5.487624-6 1.066391-1 5.492087-6 1.190219-1 5.505001-6 1.632151-1 5.518468-6 2.268291-1 5.561955-6 4.612812-1 5.575252-6 5.156541-1 5.588549-6 5.473838-1 5.601846-6 5.518184-1 5.615144-6 5.285818-1 5.630922-6 4.700083-1 5.674372-6 2.449054-1 5.678448-6 2.246287-1 5.691863-6 1.730276-1 5.705279-6 1.345997-1 5.717201-6 1.055492-1 5.722771-6 9.820239-2 5.731418-6 8.948664-2 5.758215-6 7.167170-2 5.824855-6 6.335263-2 5.887470-6 5.703977-2 6.031092-6 5.031602-2 6.061728-6 5.367115-2 6.076648-6 6.154736-2 6.091569-6 7.252879-2 6.106489-6 8.972734-2 6.121409-6 1.149879-1 6.136756-6 1.476248-1 6.179540-6 2.535185-1 6.196010-6 2.824375-1 6.210930-6 2.944661-1 6.225850-6 2.905852-1 6.240770-6 2.714629-1 6.259852-6 2.303100-1 6.300451-6 1.268512-1 6.315371-6 9.622113-2 6.330291-6 7.199234-2 6.341166-6 6.096728-2 6.356112-6 5.038079-2 6.360132-6 4.827329-2 6.371172-6 4.660774-2 6.377712-6 4.771268-2 6.393333-6 5.363824-2 6.402535-6 5.968255-2 6.408954-6 6.533305-2 6.423607-6 8.167132-2 6.471438-6 1.496899-1 6.487059-6 1.669562-1 6.502680-6 1.770515-1 6.518301-6 1.787935-1 6.534147-6 1.711380-1 6.582159-6 1.289805-1 6.598163-6 1.202645-1 6.614167-6 1.179492-1 6.639156-6 1.219314-1 6.680187-6 1.367025-1 6.720345-6 1.399289-1 6.797077-6 1.379318-1 6.905278-6 1.401054-1 6.981779-6 1.335100-1 7.025002-6 1.301077-1 7.084084-6 1.339706-1 7.182462-6 1.476879-1 8.042489-6 1.910826-1 9.429952-6 2.776603-1 1.641569-5 7.558429-1 2.037654-5 9.740468-1 2.447474-5 1.121356+0 2.951402-5 1.203031+0 3.121557-5 1.212765+0 3.125666-5 1.600208+0 3.140020-5 1.519621+1 3.141053-5 1.621553+1 3.148746-5 2.842104+1 3.156439-5 4.678425+1 3.164865-5 7.463275+1 3.182636-5 1.479183+2 3.188266-5 1.715932+2 3.197010-5 1.966747+2 3.205135-5 2.077768+2 3.213009-5 2.065910+2 3.225089-5 1.884300+2 3.259857-5 1.147167+2 3.272803-5 8.293394+1 3.279534-5 6.372639+1 3.293095-5 3.660622+1 3.300912-5 2.406277+1 3.308729-5 1.483114+1 3.316545-5 8.705895+0 3.332179-5 1.216177+0 3.611195-5 1.211030+0 3.628972-5 1.323195+0 3.637861-5 1.416164+0 3.646749-5 1.557323+0 3.656052-5 1.761478+0 3.666645-5 2.050386+0 3.682303-5 2.565885+0 3.692545-5 2.833075+0 3.701567-5 3.008309+0 3.712874-5 3.139345+0 3.728771-5 3.236736+0 3.760232-5 3.317553+0 3.821721-5 3.161289+0 4.024347-5 2.941420+0 4.413051-5 2.373345+0 4.701256-5 2.066450+0 4.995084-5 1.872829+0 5.331633-5 1.765382+0 5.628736-5 1.736517+0 5.670299-5 1.875336+0 5.698008-5 2.100288+0 5.737640-5 2.557417+0 5.753426-5 2.682438+0 5.767280-5 2.719913+0 5.781134-5 2.680459+0 5.805736-5 2.456789+0 5.834589-5 2.142601+0 5.849021-5 2.025492+0 5.868961-5 1.942273+0 5.906957-5 1.962557+0 5.952410-5 2.111514+0 6.013423-5 2.137504+0 6.904743-5 2.318664+0 9.018893-5 2.831267+0 1.060000-4 3.048616+0 1.273503-4 3.139218+0 1.669168-4 3.037560+0 3.257547-4 2.039973+0 3.921536-4 1.727103+0 3.940841-4 4.797914+0 3.950493-4 7.341208+0 3.960146-4 1.119732+1 3.970662-4 1.721627+1 4.001679-4 4.110187+1 4.011257-4 4.689720+1 4.021463-4 5.068527+1 4.031257-4 5.174207+1 4.041908-4 5.010376+1 4.054915-4 4.530358+1 4.096400-4 2.493193+1 4.115084-4 1.755315+1 4.125787-4 1.570501+1 4.137626-4 1.450666+1 4.150750-4 1.396384+1 4.164003-4 1.354834+1 4.200000-4 1.454732+1 4.271516-4 1.486595+1 4.819357-4 1.310218+1 4.879945-4 1.352748+1 4.936727-4 1.417299+1 6.215620-4 1.088803+1 7.497263-4 8.484915+0 8.826787-4 6.732299+0 1.018884-3 5.436425+0 1.175532-3 4.366796+0 1.351883-3 3.508019+0 1.555200-3 2.802484+0 1.749600-3 2.313023+0 1.983308-3 1.879372+0 2.230581-3 1.542562+0 2.528661-3 1.246190+0 2.847418-3 1.015945+0 3.194942-3 8.315733-1 3.571507-3 6.841350-1 4.019648-3 5.552062-1 4.353304-3 4.858072-1 4.371101-3 5.078397-1 4.384196-3 5.485160-1 4.394940-3 6.140626-1 4.402805-3 6.892699-1 4.410906-3 7.961799-1 4.421591-3 9.938884-1 4.432026-3 1.250068+0 4.446847-3 1.712898+0 4.479872-3 2.868742+0 4.498240-3 3.353423+0 4.512795-3 3.601548+0 4.541048-3 3.800633+0 4.677351-3 3.708679+0 5.449062-3 2.928889+0 6.256355-3 2.339761+0 7.101366-3 1.901041+0 8.109078-3 1.516418+0 9.144648-3 1.232753+0 1.006534-2 1.040346+0 1.123432-2 8.547332-1 1.261817-2 6.919777-1 1.396890-2 5.735284-1 1.547946-2 4.730683-1 1.699956-2 3.965325-1 1.888919-2 3.239497-1 2.100483-2 2.639211-1 2.311527-2 2.187173-1 2.572165-2 1.773004-1 2.827102-2 1.467986-1 3.163273-2 1.172060-1 3.483402-2 9.635052-2 3.806074-2 8.041758-2 4.171809-2 6.660284-2 4.639954-2 5.344145-2 5.205346-2 4.209705-2 5.791632-2 3.364704-2 6.325135-2 2.796503-2 7.069260-2 2.211363-2 7.709070-2 1.838982-2 8.468612-2 1.506500-2 9.440609-2 1.196374-2 1.034755-1 9.843326-3 1.138599-1 8.023907-3 1.239153-1 6.699078-3 1.358796-1 5.503819-3 1.482126-1 4.574278-3 1.652644-1 3.637686-3 1.808348-1 3.009573-3 1.976373-1 2.502439-3 2.174654-1 2.053469-3 2.379332-1 1.708336-3 2.622709-1 1.403931-3 2.882897-1 1.165126-3 3.162487-1 9.737618-4 3.467369-1 8.176359-4 3.890709-1 6.615666-4 4.273476-1 5.599636-4 4.760113-1 4.660022-4 5.373217-1 3.828970-4 6.022148-1 3.218511-4 6.903387-1 2.648647-4 7.852356-1 2.244897-4 9.036820-1 1.902429-4 1.005773+0 1.693102-4 1.173413+0 1.446073-4 1.410753+0 1.197043-4 1.696098+0 9.908985-5 2.039158+0 8.202546-5 2.451607+0 6.789975-5 2.947480+0 5.620665-5 3.543651+0 4.652723-5 4.260405+0 3.851472-5 5.122134+0 3.188205-5 6.158159+0 2.639160-5 7.403736+0 2.184667-5 8.901248+0 1.808443-5 9.760024+0 1.645373-5 1.000000+1 3.256582-5 1 21000 7 0 4.495800+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-2.065598+1 1.719494-6-1.949913+1 2.048000-6-1.794202+1 2.210280-6-1.628445+1 2.309700-6-1.446467+1 2.381700-6-1.227588+1 2.424714-6-1.027053+1 2.450421-6-8.635626+0 2.471602-6-6.908716+0 2.489056-6-5.113421+0 2.498949-6-3.891992+0 2.507644-6-2.661042+0 2.515286-6-1.429502+0 2.522220-6-1.642784-1 2.528287-6 1.082614+0 2.533595-6 2.302319+0 2.538240-6 3.486819+0 2.542304-6 4.629114+0 2.548972-6 6.764831+0 2.554077-6 8.676952+0 2.561373-6 1.199127+1 2.565477-6 1.429227+1 2.570095-6 1.758100+1 2.581827-6 2.772528+1 2.588946-6 3.623242+1 2.592182-6 4.140159+1 2.604657-6 5.554986+1 2.611031-6 6.037294+1 2.617505-6 6.102594+1 2.621958-6 5.766842+1 2.626274-6 5.145515+1 2.631648-6 3.909677+1 2.634001-6 3.207239+1 2.639031-6 1.433710+1 2.640291-6 9.259420+0 2.640711-6 7.231230+0 2.640911-6 6.205028+0 2.641297-6 4.459056+0 2.642020-6 1.405946+0 2.645186-6-1.146254+1 2.646748-6-1.843402+1 2.647234-6-2.092572+1 2.653460-6 6.248290+0 2.653756-6 7.785780+0 2.654848-6 1.250658+1 2.660980-6 3.545897+1 2.664493-6 4.565517+1 2.668499-6 5.529806+1 2.673703-6 6.286896+1 2.678218-6 6.569619+1 2.684535-6 6.434648+1 2.691706-6 5.777737+1 2.697306-6 5.060292+1 2.698877-6 4.788681+1 2.706645-6 3.791491+1 2.716804-6 2.732570+1 2.719064-6 2.434599+1 2.724628-6 1.965085+1 2.731999-6 1.520424+1 2.739317-6 1.183564+1 2.746578-6 9.147454+0 2.753782-6 6.934392+0 2.760930-6 5.072342+0 2.768022-6 3.479507+0 2.775073-6 2.096362+0 2.782068-6 8.847263-1 2.789009-6-1.864368-1 2.795896-6-1.140881+0 2.802729-6-1.997150+0 2.809508-6-2.769970+0 2.822909-6-4.110508+0 2.842619-6-5.730296+0 2.861922-6-7.015943+0 2.899235-6-8.925724+0 2.946321-6-1.064179+1 3.011948-6-1.228676+1 3.126173-6-1.407659+1 3.250022-6-1.526802+1 3.689468-6-1.812015+1 3.747707-6-1.922961+1 3.772334-6-1.847368+1 3.813199-6-1.581853+1 3.834767-6-1.534600+1 3.931225-6-1.684545+1 4.337937-6-1.864323+1 4.410324-6-1.970679+1 4.440297-6-1.885189+1 4.484413-6-1.638216+1 4.511703-6-1.606476+1 4.597359-6-1.730589+1 5.057444-6-1.844562+1 5.145187-6-1.793549+1 5.375860-6-1.841326+1 5.575252-6-1.855827+1 5.691863-6-1.819539+1 6.210930-6-1.865191+1 1.870769-5-2.099008+1 1.985286-5-2.096727+1 2.331507-5-1.894097+1 2.546419-5-1.666552+1 2.677188-5-1.440988+1 2.775491-5-1.184091+1 2.836511-5-9.572544+0 2.870937-5-7.935253+0 2.902038-5-6.138469+0 2.928572-5-4.292175+0 2.940059-5-3.381593+0 2.951402-5-2.399643+0 2.962037-5-1.396104+0 2.972007-5-3.722250-1 2.981354-5 6.708185-1 2.990117-5 1.731593+0 2.998332-5 2.808524+0 3.006033-5 3.900034+0 3.020022-5 6.119850+0 3.032318-5 8.376435+0 3.048026-5 1.179593+1 3.056930-5 1.407592+1 3.072077-5 1.871862+1 3.083674-5 2.315611+1 3.096178-5 2.920632+1 3.104555-5 3.434322+1 3.114384-5 4.215851+1 3.121557-5 5.013904+1 3.125666-5 5.681971+1 3.129997-5 6.397163+1 3.141053-5 8.044608+1 3.157401-5 1.077180+2 3.166237-5 1.162566+2 3.173140-5 1.150901+2 3.178638-5 1.099359+2 3.184885-5 9.734626+1 3.188266-5 8.577094+1 3.194686-5 6.136617+1 3.197010-5 4.999926+1 3.202227-5 2.691165+1 3.203280-5 2.149491+1 3.203794-5 1.841486+1 3.205135-5 1.178588+1 3.207240-5 2.267220+0 3.209751-5-8.943396+0 3.210990-5-1.492647+1 3.211858-5-1.966777+1 3.212136-5-2.081914+1 3.214022-5-1.265981+1 3.215735-5-5.922825+0 3.216449-5-3.231447+0 3.217696-5 1.370546+0 3.220972-5 1.330076+1 3.222199-5 1.814475+1 3.225089-5 2.752141+1 3.230180-5 4.132478+1 3.236906-5 5.634099+1 3.245591-5 7.198186+1 3.258936-5 9.079700+1 3.271841-5 1.011560+2 3.278272-5 1.018529+2 3.293095-5 9.179671+1 3.320711-5 6.085888+1 3.332179-5 4.961689+1 3.338931-5 4.331980+1 3.350647-5 3.608596+1 3.363554-5 3.026840+1 3.382742-5 2.388540+1 3.402099-5 1.910317+1 3.427672-5 1.434619+1 3.442916-5 1.208228+1 3.464701-5 9.369554+0 3.492711-5 6.543229+0 3.520419-5 4.266522+0 3.537622-5 3.042986+0 3.548889-5 2.304636+0 3.561486-5 1.528004+0 3.572069-5 9.088776-1 3.580630-5 4.250126-1 3.590648-5-1.250857-1 3.637861-5-2.681521+0 3.656052-5-3.590260+0 3.666645-5-4.029463+0 3.682303-5-4.459218+0 3.712874-5-4.738577+0 3.796642-5-5.500347+0 3.912643-5-6.782974+0 4.105827-5-8.127321+0 4.413051-5-9.532994+0 4.995084-5-1.116875+1 5.628736-5-1.258667+1 5.722778-5-1.294058+1 5.805736-5-1.208306+1 5.868961-5-1.228406+1 5.967764-5-1.256871+1 7.413102-5-1.305017+1 1.060000-4-1.277823+1 1.669168-4-1.195615+1 2.159506-4-1.192970+1 2.598317-4-1.238832+1 2.986823-4-1.338042+1 3.313494-4-1.499494+1 3.535796-4-1.704034+1 3.679053-4-1.939246+1 3.776828-4-2.219319+1 3.845921-4-2.038102+1 3.881684-4-1.838794+1 3.903425-4-1.625805+1 3.916838-4-1.408576+1 3.921536-4-1.281003+1 3.929002-4-1.086218+1 3.939635-4-8.372024+0 3.942048-4-7.598736+0 3.949438-4-5.566244+0 3.951700-4-4.775264+0 3.959354-4-2.745545+0 3.961389-4-2.070437+0 3.970091-4-2.572477-1 3.970662-4-8.940037-2 3.971768-4 1.025708-1 3.973841-4 2.872751-1 3.975654-4 3.271903-1 3.977242-4 2.875444-1 3.980019-4 7.094329-2 3.980653-4-1.293951-2 3.982102-4-2.054254-1 3.983665-4-4.742860-1 3.986008-4-9.759385-1 3.988352-4-1.602164+0 3.990018-4-2.119515+0 3.992933-4-3.155786+0 3.995144-4-4.070042+0 3.997989-4-5.432775+0 4.000757-4-7.020226+0 4.008245-4-1.239006+1 4.019253-4-2.224407+1 4.025214-4-2.799646+1 4.034092-4-2.033256+1 4.043071-4-1.320520+1 4.052866-4-6.810472+0 4.056708-4-4.800315+0 4.059846-4-3.409853+0 4.062200-4-2.473206+0 4.065730-4-1.202368+0 4.069260-4-1.645460-2 4.070898-4 5.022394-1 4.073969-4 1.305770+0 4.076656-4 1.892712+0 4.079007-4 2.328995+0 4.083121-4 2.927133+0 4.086207-4 3.245541+0 4.088522-4 3.407646+0 4.091993-4 3.507981+0 4.093729-4 3.483035+0 4.104048-4 2.714545+0 4.106807-4 2.432833+0 4.108876-4 2.174976+0 4.111980-4 1.649517+0 4.113532-4 1.293270+0 4.114308-4 1.075478+0 4.115084-4 7.748948-1 4.116422-4 3.008938-1 4.118500-4-1.728144-1 4.123000-4-1.163589+0 4.125787-4-1.758162+0 4.137626-4-4.053405+0 4.144906-4-5.219920+0 4.169258-4-8.249212+0 4.180203-4-9.000040+0 4.200000-4-9.661487+0 4.236371-4-1.005236+1 4.345982-4-9.910360+0 4.682509-4-8.573747+0 4.792752-4-8.479259+0 4.879945-4-8.802992+0 4.926839-4-8.384105+0 5.002483-4-7.376823+0 5.154213-4-6.359487+0 5.416498-4-5.147162+0 5.685490-4-4.250563+0 6.007331-4-3.404377+0 6.375214-4-2.671230+0 6.588317-4-2.316712+0 7.022065-4-1.750841+0 7.342095-4-1.422793+0 7.762471-4-1.098879+0 8.128305-4-8.678920-1 8.372601-4-7.429303-1 8.880780-4-5.390194-1 9.076790-4-4.736526-1 9.469204-4-3.752751-1 1.009255-3-2.628772-1 1.040369-3-2.214374-1 1.077706-3-1.863681-1 1.145678-3-1.389500-1 1.175532-3-1.266086-1 1.207531-3-1.205327-1 1.268016-3-1.219296-1 1.330945-3-1.310326-1 1.433013-3-1.639729-1 1.555200-3-2.160746-1 2.069052-3-5.061036-1 2.847418-3-9.800433-1 3.331131-3-1.326883+0 3.671172-3-1.645809+0 3.910947-3-1.965291+0 4.068171-3-2.270088+0 4.184629-3-2.597774+0 4.277430-3-2.996057+0 4.340034-3-3.431779+0 4.380264-3-3.913428+0 4.446847-3-5.169802+0 4.466766-3-5.274237+0 4.487407-3-5.075970+0 4.552303-3-3.714010+0 4.584934-3-3.249106+0 4.634355-3-2.786024+0 4.693765-3-2.397583+0 4.777917-3-1.995668+0 4.889380-3-1.613656+0 5.018182-3-1.289411+0 5.175423-3-9.888332-1 5.308300-3-7.922595-1 5.449062-3-6.212899-1 5.580584-3-4.901968-1 5.700902-3-3.869171-1 5.852235-3-2.773968-1 5.981900-3-1.983350-1 6.069338-3-1.503806-1 6.156775-3-1.064907-1 6.256355-3-6.305072-2 6.434511-3 7.447695-3 6.623549-3 7.067864-2 6.755614-3 1.077153-1 6.917571-3 1.488097-1 7.101366-3 1.896172-1 7.301551-3 2.262910-1 7.704242-3 2.809021-1 8.109078-3 3.180788-1 8.743386-3 3.542547-1 9.362812-3 3.729707-1 1.042142-2 3.773125-1 1.216933-2 3.563604-1 1.826580-2 2.406176-1 2.168759-2 1.903913-1 2.481256-2 1.545522-1 2.900834-2 1.179945-1 3.262703-2 9.404804-2 3.696526-2 7.180597-2 4.043752-2 5.782449-2 4.504512-2 4.296519-2 4.866023-2 3.355228-2 5.333878-2 2.365200-2 5.791632-2 1.575448-2 6.176587-2 1.020779-2 6.482955-2 6.382604-3 6.782375-2 3.058736-3 6.951258-2 1.342571-3 7.084093-2 6.589444-5 7.116181-2-2.402350-4 7.275341-2-1.686030-3 7.425820-2-2.983579-3 7.709070-2-5.259066-3 8.107557-2-8.100916-3 8.686230-2-1.165394-2 9.440609-2-1.545766-2 1.034755-1-1.913116-2 1.174318-1-2.337882-2 1.358796-1-2.728447-2 1.652644-1-3.121015-2 2.118539-1-3.460106-2 2.987531-1-3.739763-2 5.040806-1-3.938531-2 1.546860+0-4.037258-2 4.671441+0-4.047695-2 1.000000+1-4.048156-2 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 4.896034-2 1.112188-6 7.971639-2 1.182786-6 1.065740-1 1.257865-6 1.435352-1 1.297174-6 1.671031-1 1.337710-6 1.950002-1 1.379514-6 2.281418-1 1.422623-6 2.676685-1 1.466748-6 3.146118-1 1.509494-6 3.673403-1 1.550904-6 4.262734-1 1.591021-6 4.918600-1 1.629883-6 5.647090-1 1.667531-6 6.453874-1 1.704003-6 7.344747-1 1.739334-6 8.325814-1 1.773562-6 9.403497-1 1.806720-6 1.058455+0 1.838842-6 1.187609+0 1.869960-6 1.328557+0 1.900106-6 1.482086+0 1.929309-6 1.649019+0 1.957600-6 1.830223+0 1.985007-6 2.026706+0 2.011557-6 2.240456+0 2.062195-6 2.716916+0 2.086333-6 2.983422+0 2.109717-6 3.270773+0 2.132370-6 3.579722+0 2.154316-6 3.911523+0 2.175575-6 4.267484+0 2.196170-6 4.648967+0 2.216122-6 5.057403+0 2.235450-6 5.494457+0 2.254174-6 5.962708+0 2.272313-6 6.464596+0 2.304000-6 7.463086+0 2.323399-6 8.163330+0 2.339374-6 8.803979+0 2.354851-6 9.488473+0 2.369844-6 1.021841+1 2.398892-6 1.184046+1 2.426125-6 1.365946+1 2.451656-6 1.569991+1 2.475591-6 1.798351+1 2.498030-6 2.053220+1 2.519067-6 2.336900+1 2.538789-6 2.651805+1 2.557279-6 3.000453+1 2.574612-6 3.385457+1 2.590863-6 3.809517+1 2.606098-6 4.275405+1 2.620380-6 4.785959+1 2.633770-6 5.344062+1 2.646323-6 5.952629+1 2.658092-6 6.614592+1 2.669125-6 7.332883+1 2.679468-6 8.110418+1 2.689165-6 8.950087+1 2.698256-6 9.854743+1 2.706779-6 1.082721+2 2.714769-6 1.187028+2 2.722259-6 1.298674+2 2.729282-6 1.417936+2 2.735866-6 1.545096+2 2.742038-6 1.680438+2 2.747824-6 1.824263+2 2.753249-6 1.976896+2 2.758334-6 2.138694+2 2.763102-6 2.310051+2 2.767572-6 2.491387+2 2.771763-6 2.683129+2 2.779620-6 3.114517+2 2.786495-6 3.594362+2 2.792510-6 4.122216+2 2.797774-6 4.694017+2 2.802380-6 5.302138+2 2.806410-6 5.936231+2 2.809936-6 6.584477+2 2.813021-6 7.234865+2 2.815721-6 7.876230+2 2.820446-6 9.184687+2 2.826647-6 1.132563+3 2.835492-6 1.540404+3 2.845085-6 2.149380+3 2.848574-6 2.419403+3 2.853806-6 2.875500+3 2.858031-6 3.288330+3 2.862528-6 3.769528+3 2.864272-6 3.967054+3 2.869505-6 4.591743+3 2.873873-6 5.143419+3 2.879367-6 5.861692+3 2.883214-6 6.369674+3 2.886401-6 6.786667+3 2.889491-6 7.182236+3 2.892962-6 7.609579+3 2.895861-6 7.947655+3 2.899588-6 8.349737+3 2.902665-6 8.648261+3 2.906621-6 8.979665+3 2.911181-6 9.277981+3 2.914399-6 9.428838+3 2.918624-6 9.546659+3 2.922373-6 9.572215+3 2.925966-6 9.526321+3 2.929164-6 9.428371+3 2.934753-6 9.134335+3 2.938541-6 8.853379+3 2.942665-6 8.481803+3 2.945756-6 8.164727+3 2.949227-6 7.776042+3 2.952125-6 7.430081+3 2.955852-6 6.964222+3 2.959369-6 6.510596+3 2.962886-6 6.050882+3 2.966402-6 5.591993+3 2.969919-6 5.140186+3 2.974161-6 4.612324+3 2.977831-6 4.176475+3 2.984864-6 3.409809+3 2.988710-6 3.033708+3 2.994534-6 2.525988+3 3.002197-6 1.970621+3 3.014544-6 1.318591+3 3.018631-6 1.158674+3 3.022701-6 1.022189+3 3.026756-6 9.060553+2 3.030795-6 8.074084+2 3.034818-6 7.236477+2 3.038825-6 6.524586+2 3.042816-6 5.918175+2 3.046792-6 5.399817+2 3.050753-6 4.954710+2 3.054698-6 4.570422+2 3.062557-6 3.943707+2 3.070355-6 3.458661+2 3.078092-6 3.073336+2 3.085768-6 2.759960+2 3.093384-6 2.500001+2 3.100941-6 2.280843+2 3.108439-6 2.093650+2 3.115879-6 1.932033+2 3.123260-6 1.791235+2 3.130583-6 1.667618+2 3.137850-6 1.558341+2 3.145059-6 1.461145+2 3.159366-6 1.295474+2 3.173449-6 1.160505+2 3.187311-6 1.048756+2 3.200958-6 9.549942+1 3.214391-6 8.754346+1 3.227614-6 8.072640+1 3.240630-6 7.483476+1 3.253444-6 6.970378+1 3.266056-6 6.520372+1 3.278472-6 6.123015+1 3.302916-6 5.449171+1 3.326596-6 4.905676+1 3.349536-6 4.459834+1 3.371759-6 4.089103+1 3.393287-6 3.777020+1 3.414143-6 3.511498+1 3.434347-6 3.283576+1 3.453920-6 3.086211+1 3.491842-6 2.756446+1 3.527394-6 2.497372+1 3.560724-6 2.290205+1 3.600000-6 2.081034+1 3.648727-6 1.863567+1 3.700220-6 1.672883+1 3.745277-6 1.530756+1 3.784701-6 1.422750+1 3.853694-6 1.260783+1 3.905438-6 1.157270+1 4.090656-6 8.707434+0 4.200599-6 7.394732+0 4.260568-6 6.746805+0 4.367002-6 5.644052+0 4.406914-6 5.228741+0 4.441838-6 4.857013+0 4.472396-6 4.519965+0 4.499134-6 4.211479+0 4.522530-6 3.927403+0 4.550550-6 3.563883+0 4.560915-6 3.421218+0 4.576588-6 3.194953+0 4.590302-6 2.984687+0 4.602302-6 2.789726+0 4.612802-6 2.609900+0 4.621990-6 2.445380+0 4.630029-6 2.296418+0 4.637063-6 2.163103+0 4.649373-6 1.927436+0 4.670723-6 1.549334+0 4.677539-6 1.452761+0 4.681921-6 1.401365+0 4.686303-6 1.360381+0 4.691700-6 1.326959+0 4.693527-6 1.320495+0 4.695508-6 1.316532+0 4.709372-6 1.392393+0 4.714021-6 1.464877+0 4.716905-6 1.523227+0 4.720907-6 1.622021+0 4.724790-6 1.738350+0 4.729168-6 1.894243+0 4.734583-6 2.123747+0 4.752673-6 3.167710+0 4.758773-6 3.599980+0 4.764161-6 4.004452+0 4.769402-6 4.410721+0 4.774167-6 4.784261+0 4.778941-6 5.155883+0 4.784528-6 5.578491+0 4.789526-6 5.936884+0 4.795041-6 6.301563+0 4.798792-6 6.526580+0 4.803381-6 6.772294+0 4.807970-6 6.981770+0 4.810045-6 7.063770+0 4.820242-6 7.344961+0 4.823964-6 7.396677+0 4.832236-6 7.419392+0 4.836334-6 7.388304+0 4.842191-6 7.304409+0 4.849722-6 7.149106+0 4.861720-6 6.879242+0 4.865720-6 6.808753+0 4.872509-6 6.741974+0 4.877270-6 6.750714+0 4.880901-6 6.796548+0 4.885069-6 6.897893+0 4.888819-6 7.039059+0 4.897236-6 7.551355+0 4.900437-6 7.823744+0 4.902473-6 8.020462+0 4.908197-6 8.674681+0 4.912989-6 9.338838+0 4.918537-6 1.024053+1 4.928848-6 1.227719+1 4.939558-6 1.482574+1 4.944202-6 1.603832+1 4.949825-6 1.756839+1 4.956308-6 1.938562+1 4.964324-6 2.165078+1 4.969443-6 2.307291+1 4.975784-6 2.477049+1 4.981466-6 2.620247+1 4.993489-6 2.883705+1 4.994898-6 2.910359+1 5.004760-6 3.068195+1 5.008893-6 3.118434+1 5.012838-6 3.157216+1 5.016783-6 3.186913+1 5.022418-6 3.213564+1 5.027021-6 3.221753+1 5.030473-6 3.220097+1 5.035650-6 3.205573+1 5.040828-6 3.177389+1 5.046839-6 3.128940+1 5.052851-6 3.065415+1 5.061868-6 2.946485+1 5.064873-6 2.901645+1 5.076896-6 2.703740+1 5.087415-6 2.516109+1 5.091924-6 2.434276+1 5.106953-6 2.166249+1 5.132369-6 1.767154+1 5.148877-6 1.559941+1 5.158621-6 1.457267+1 5.167756-6 1.373145+1 5.184884-6 1.242789+1 5.199871-6 1.152377+1 5.212984-6 1.086931+1 5.235933-6 9.939057+0 5.270356-6 8.847329+0 5.319322-6 7.596071+0 5.348077-6 7.022954+0 5.361176-6 6.831648+0 5.374275-6 6.700367+0 5.387374-6 6.638589+0 5.391961-6 6.634428+0 5.399987-6 6.649099+0 5.406006-6 6.677983+0 5.415035-6 6.748119+0 5.424064-6 6.846541+0 5.439771-6 7.066724+0 5.465969-6 7.471613+0 5.479068-6 7.638913+0 5.484957-6 7.698499+0 5.493789-6 7.765799+0 5.502621-6 7.804187+0 5.510493-6 7.813071+0 5.518366-6 7.798340+0 5.531465-6 7.725012+0 5.544564-6 7.599397+0 5.557663-6 7.434198+0 5.570762-6 7.243004+0 5.613120-6 6.585325+0 5.631170-6 6.335382+0 5.640752-6 6.217289+0 5.654568-6 6.068098+0 5.668384-6 5.946286+0 5.682200-6 5.853500+0 5.692229-6 5.804435+0 5.707272-6 5.758072+0 5.722314-6 5.739843+0 5.751280-6 5.753065+0 5.782888-6 5.768225+0 5.798602-6 5.753330+0 5.820360-6 5.700466+0 5.846629-6 5.598105+0 5.899554-6 5.375021+0 5.944508-6 5.241584+0 6.047463-6 4.988771+0 6.215842-6 4.577484+0 6.370171-6 4.207980+0 6.431107-6 4.055220+0 6.554495-6 3.694378+0 6.585283-6 3.578321+0 6.631466-6 3.360909+0 6.654557-6 3.230087+0 6.700258-6 2.957388+0 6.716709-6 2.875678+0 6.733161-6 2.818592+0 6.736217-6 2.811658+0 6.749612-6 2.798084+0 6.766063-6 2.825472+0 6.771037-6 2.844598+0 6.785958-6 2.934644+0 6.794248-6 3.006324+0 6.800465-6 3.070132+0 6.809792-6 3.181334+0 6.819118-6 3.309724+0 6.835699-6 3.573105+0 6.852279-6 3.866195+0 6.868859-6 4.167473+0 6.885440-6 4.453984+0 6.890622-6 4.537052+0 6.906170-6 4.759451+0 6.910861-6 4.817313+0 6.920399-6 4.919992+0 6.931642-6 5.013653+0 6.941701-6 5.071501+0 6.951761-6 5.105006+0 6.963479-6 5.114773+0 6.979931-6 5.080864+0 6.991318-6 5.029979+0 7.001502-6 4.969389+0 7.018082-6 4.848506+0 7.041104-6 4.655398+0 7.074295-6 4.372687+0 7.102023-6 4.161161+0 7.150546-6 3.862536+0 7.268276-6 3.325968+0 7.332032-6 3.050814+0 7.349991-6 2.983030+0 7.372796-6 2.914206+0 7.385908-6 2.887018+0 7.405512-6 2.867922+0 7.419892-6 2.872547+0 7.435957-6 2.897393+0 7.449237-6 2.933165+0 7.462516-6 2.981305+0 7.479582-6 3.057611+0 7.515866-6 3.243337+0 7.535720-6 3.336190+0 7.553823-6 3.402346+0 7.571508-6 3.443402+0 7.584919-6 3.456879+0 7.593577-6 3.457283+0 7.605035-6 3.448120+0 7.619368-6 3.422332+0 7.644336-6 3.347012+0 7.680585-6 3.202637+0 7.698398-6 3.132383+0 7.719619-6 3.059972+0 7.737160-6 3.013449+0 7.755036-6 2.980001+0 7.772913-6 2.960092+0 7.795462-6 2.950856+0 7.881943-6 2.966370+0 7.908235-6 2.959953+0 7.931595-6 2.947737+0 8.023545-6 2.880620+0 8.217064-6 2.771971+0 8.301934-6 2.704691+0 8.418081-6 2.607767+0 8.486754-6 2.567332+0 8.609182-6 2.514527+0 8.896243-6 2.385312+0 9.899985-6 1.994787+0 1.008748-5 1.935722+0 1.180000-5 1.529365+0 1.288250-5 1.357129+0 1.380384-5 1.262456+0 1.480000-5 1.212172+0 1.500188-5 1.207686+0 1.584893-5 1.198428+0 1.659587-5 1.212148+0 1.748101-5 1.253801+0 1.802729-5 1.292638+0 1.856266-5 1.339671+0 1.908129-5 1.393999+0 1.958373-5 1.455050+0 2.006665-5 1.523281+0 2.076312-5 1.638247+0 2.120948-5 1.724268+0 2.185320-5 1.869199+0 2.216343-5 1.947612+0 2.256481-5 2.060954+0 2.276064-5 2.112775+0 2.284523-5 2.130810+0 2.296511-5 2.150933+0 2.338789-5 2.205716+0 2.366234-5 2.257226+0 2.384198-5 2.301544+0 2.401881-5 2.353845+0 2.419287-5 2.414004+0 2.436422-5 2.481967+0 2.453289-5 2.558141+0 2.469893-5 2.643274+0 2.486237-5 2.738056+0 2.502325-5 2.842980+0 2.518163-5 2.958272+0 2.540973-5 3.146278+0 2.557200-5 3.296838+0 2.579311-5 3.526956+0 2.608580-5 3.881103+0 2.636934-5 4.285862+0 2.664402-5 4.744327+0 2.691535-5 5.269553+0 2.716790-5 5.832710+0 2.741762-5 6.471277+0 2.765955-5 7.178863+0 2.789391-5 7.959142+0 2.818383-5 9.068335+0 2.855396-5 1.076174+1 2.880000-5 1.209412+1 2.915404-5 1.436100+1 2.952349-5 1.727431+1 2.987021-5 2.064909+1 3.003549-5 2.252466+1 3.029607-5 2.589434+1 3.050098-5 2.895652+1 3.072000-5 3.271108+1 3.092417-5 3.674028+1 3.115216-5 4.196139+1 3.130892-5 4.607376+1 3.154955-5 5.337983+1 3.177515-5 6.154963+1 3.198895-5 7.076207+1 3.218493-5 8.076044+1 3.240000-5 9.385957+1 3.254508-5 1.042436+2 3.270846-5 1.177781+2 3.286162-5 1.326160+2 3.300522-5 1.488338+2 3.313983-5 1.665070+2 3.326604-5 1.857106+2 3.338435-5 2.065194+2 3.350000-5 2.300386+2 3.359927-5 2.532513+2 3.369676-5 2.793241+2 3.378815-5 3.073018+2 3.387384-5 3.372616+2 3.395417-5 3.692832+2 3.402947-5 4.034511+2 3.410040-5 4.400376+2 3.416627-5 4.786097+2 3.422832-5 5.198246+2 3.428649-5 5.636382+2 3.434103-5 6.101976+2 3.439216-5 6.596546+2 3.444009-5 7.121535+2 3.452997-5 8.309152+2 3.460861-5 9.636605+2 3.467742-5 1.109788+3 3.473763-5 1.267503+3 3.479032-5 1.434020+3 3.483642-5 1.605960+3 3.487675-5 1.779779+3 3.494510-5 2.132595+3 3.499697-5 2.456964+3 3.520302-5 4.357078+3 3.526173-5 5.104999+3 3.533218-5 6.129447+3 3.539103-5 7.085444+3 3.547771-5 8.634677+3 3.548855-5 8.837816+3 3.556440-5 1.029722+4 3.559419-5 1.088010+4 3.566022-5 1.216298+4 3.568971-5 1.272234+4 3.571739-5 1.323390+4 3.576280-5 1.403536+4 3.579756-5 1.460876+4 3.582596-5 1.504597+4 3.586322-5 1.557142+4 3.591113-5 1.615646+4 3.597036-5 1.672357+4 3.601744-5 1.704267+4 3.606134-5 1.723245+4 3.611125-5 1.732312+4 3.616410-5 1.728034+4 3.621570-5 1.711187+4 3.624483-5 1.696687+4 3.629551-5 1.663946+4 3.634878-5 1.620824+4 3.640847-5 1.564291+4 3.648491-5 1.483244+4 3.654221-5 1.418671+4 3.667189-5 1.268335+4 3.671682-5 1.216212+4 3.682305-5 1.094237+4 3.691129-5 9.943685+3 3.695134-5 9.494539+3 3.706368-5 8.249958+3 3.713390-5 7.488741+3 3.717603-5 7.041256+3 3.724221-5 6.357211+3 3.726428-5 6.135403+3 3.735252-5 5.286410+3 3.744077-5 4.510261+3 3.752901-5 3.818911+3 3.778783-5 2.313279+3 3.782986-5 2.137714+3 3.789247-5 1.906867+3 3.795969-5 1.695699+3 3.802481-5 1.522679+3 3.808790-5 1.380369+3 3.815924-5 1.244608+3 3.820822-5 1.164401+3 3.826557-5 1.081775+3 3.838254-5 9.435026+2 3.848088-5 8.510835+2 3.857855-5 7.750587+2 3.867011-5 7.146651+2 3.875595-5 6.655633+2 3.883643-5 6.248975+2 3.898732-5 5.597758+2 3.911936-5 5.121595+2 3.923488-5 4.761140+2 3.933597-5 4.481094+2 3.951287-5 4.055751+2 3.964555-5 3.780935+2 3.984456-5 3.424816+2 4.006632-5 3.090561+2 4.033926-5 2.747637+2 4.055941-5 2.512375+2 4.126960-5 1.906994+2 4.147276-5 1.768692+2 4.157434-5 1.707677+2 4.167592-5 1.653313+2 4.177750-5 1.606345+2 4.184688-5 1.578736+2 4.191626-5 1.554767+2 4.200890-5 1.528210+2 4.210154-5 1.507316+2 4.220466-5 1.489624+2 4.241712-5 1.465444+2 4.294577-5 1.420049+2 4.316904-5 1.396560+2 4.351899-5 1.354112+2 4.419817-5 1.265810+2 4.468686-5 1.213048+2 4.520790-5 1.166710+2 4.623944-5 1.087397+2 4.697404-5 1.038683+2 4.788284-5 9.867771+1 4.905542-5 9.285055+1 5.042030-5 8.718606+1 5.181579-5 8.217299+1 5.332699-5 7.762059+1 5.468200-5 7.402720+1 5.650000-5 6.990950+1 5.981485-5 6.366966+1 6.169285-5 6.037170+1 6.271856-5 5.818024+1 6.331294-5 5.645458+1 6.370557-5 5.524765+1 6.401917-5 5.461382+1 6.417598-5 5.454417+1 6.433278-5 5.470384+1 6.448958-5 5.512217+1 6.468524-5 5.600680+1 6.493681-5 5.761425+1 6.527360-5 6.001820+1 6.543040-5 6.097331+1 6.558721-5 6.169901+1 6.569721-5 6.204212+1 6.590024-5 6.229770+1 6.603952-5 6.221170+1 6.619540-5 6.191641+1 6.685441-5 5.994142+1 6.704420-5 5.953828+1 6.737579-5 5.915424+1 7.327867-5 5.831779+1 7.740161-5 5.810322+1 8.317638-5 5.844327+1 8.822957-5 5.914906+1 9.500295-5 6.057620+1 1.014344-4 6.222085+1 1.243917-4 6.834446+1 1.340810-4 7.054980+1 1.518609-4 7.406033+1 1.700078-4 7.650147+1 1.894821-4 7.799931+1 2.063315-4 7.834254+1 2.263693-4 7.776185+1 2.474104-4 7.619397+1 2.668394-4 7.388108+1 2.875743-4 7.022220+1 3.067887-4 6.570343+1 3.248769-4 6.035332+1 3.376501-4 5.585579+1 3.489158-4 5.130570+1 3.588211-4 4.681310+1 3.671266-4 4.265292+1 3.732476-4 3.933067+1 3.785515-4 3.625108+1 3.832106-4 3.339417+1 3.865218-4 3.127430+1 3.911526-4 2.818162+1 3.944957-4 2.585935+1 3.965615-4 2.438491+1 4.001520-4 2.175032+1 4.030591-4 1.956020+1 4.055720-4 1.763728+1 4.079441-4 1.580538+1 4.110610-4 1.339076+1 4.132522-4 1.170544+1 4.153993-4 1.008319+1 4.173195-4 8.676522+0 4.184816-4 7.856005+0 4.198707-4 6.917508+0 4.207136-4 6.376701+0 4.222320-4 5.472911+0 4.239532-4 4.590789+0 4.243788-4 4.401332+0 4.253753-4 4.009586+0 4.261645-4 3.755842+0 4.267878-4 3.593850+0 4.275137-4 3.450675+0 4.281841-4 3.364113+0 4.287970-4 3.325118+0 4.295845-4 3.333949+0 4.300891-4 3.376148+0 4.305782-4 3.445756+0 4.310558-4 3.542548+0 4.315693-4 3.680564+0 4.319667-4 3.813406+0 4.324009-4 3.986808+0 4.328216-4 4.185599+0 4.336238-4 4.661304+0 4.340063-4 4.939838+0 4.346015-4 5.453091+0 4.350834-4 5.952431+0 4.354202-4 6.353913+0 4.360728-4 7.279061+0 4.366846-4 8.362859+0 4.372581-4 9.620105+0 4.377959-4 1.106424+1 4.384045-4 1.308723+1 4.387990-4 1.466726+1 4.392157-4 1.661116+1 4.396310-4 1.887750+1 4.400204-4 2.134839+1 4.407278-4 2.686566+1 4.413495-4 3.305356+1 4.424244-4 4.760501+1 4.438366-4 7.687770+1 4.446989-4 1.023467+2 4.453711-4 1.271786+2 4.459888-4 1.543969+2 4.463425-4 1.720546+2 4.467572-4 1.948030+2 4.472213-4 2.230004+2 4.476040-4 2.485175+2 4.481182-4 2.860995+2 4.482526-4 2.965556+2 4.490929-4 3.678540+2 4.493502-4 3.916865+2 4.503105-4 4.884045+2 4.504477-4 5.031414+2 4.511550-4 5.821983+2 4.517215-4 6.485676+2 4.521681-4 7.021537+2 4.527179-4 7.688820+2 4.531686-4 8.235234+2 4.535661-4 8.711353+2 4.541285-4 9.367112+2 4.546504-4 9.946948+2 4.549270-4 1.023959+3 4.556055-4 1.090384+3 4.560463-4 1.128741+3 4.567464-4 1.180609+3 4.573178-4 1.213805+3 4.577274-4 1.232174+3 4.582765-4 1.249439+3 4.587301-4 1.257246+3 4.595851-4 1.256248+3 4.600293-4 1.247907+3 4.603117-4 1.239965+3 4.611589-4 1.204747+3 4.617396-4 1.171753+3 4.623857-4 1.127897+3 4.629546-4 1.084125+3 4.635649-4 1.032959+3 4.641423-4 9.815742+2 4.645890-4 9.404794+2 4.650370-4 8.985451+2 4.657764-4 8.288426+2 4.664966-4 7.616875+2 4.675000-4 6.718109+2 4.687000-4 5.734036+2 4.705462-4 4.477592+2 4.713700-4 4.028262+2 4.721310-4 3.673959+2 4.728757-4 3.381124+2 4.739945-4 3.032746+2 4.744000-4 2.930993+2 4.747313-4 2.856586+2 4.750912-4 2.784096+2 4.758407-4 2.658330+2 4.765542-4 2.566233+2 4.775108-4 2.477246+2 4.782063-4 2.432347+2 4.794676-4 2.382044+2 4.801658-4 2.366677+2 4.817278-4 2.352017+2 4.826501-4 2.350974+2 4.886846-4 2.370104+2 5.053659-4 2.381271+2 5.178417-4 2.386726+2 5.250010-4 2.383688+2 5.313988-4 2.373427+2 5.433978-4 2.330686+2 5.460443-4 2.335866+2 5.481798-4 2.353507+2 5.499381-4 2.378534+2 5.521763-4 2.423158+2 5.575066-4 2.557590+2 5.598713-4 2.612614+2 5.617523-4 2.649497+2 5.641943-4 2.687749+2 5.673137-4 2.723835+2 5.731743-4 2.770775+2 5.850049-4 2.837379+2 5.952164-4 2.883783+2 6.137295-4 2.949518+2 6.464314-4 3.027922+2 6.830551-4 3.090961+2 7.056322-4 3.116883+2 7.500943-4 3.146096+2 8.163473-4 3.161809+2 9.120125-4 3.147931+2 9.713275-4 3.124648+2 1.064985-3 3.069234+2 1.183383-3 2.991296+2 1.347179-3 2.871820+2 1.584341-3 2.701106+2 1.791252-3 2.556926+2 2.000000-3 2.424459+2 2.334130-3 2.227894+2 2.635004-3 2.065403+2 2.970918-3 1.897533+2 3.222724-3 1.778961+2 3.360840-3 1.715660+2 3.507519-3 1.650157+2 3.642966-3 1.590350+2 3.784797-3 1.528135+2 3.932506-3 1.463668+2 4.040141-3 1.416170+2 4.143306-3 1.369996+2 4.233230-3 1.328450+2 4.317520-3 1.288187+2 4.389467-3 1.252334+2 4.491670-3 1.197737+2 4.577654-3 1.146668+2 4.644289-3 1.101865+2 4.679682-3 1.075069+2 4.701343-3 1.057198+2 4.732568-3 1.028783+2 4.759083-3 1.001278+2 4.782300-3 9.735614+1 4.801462-3 9.473227+1 4.819980-3 9.186567+1 4.845969-3 8.736021+1 4.883348-3 8.089628+1 4.898175-3 7.891383+1 4.909716-3 7.781906+1 4.919632-3 7.726503+1 4.930065-3 7.711065+1 4.941625-3 7.747275+1 4.948561-3 7.795419+1 4.956032-3 7.868115+1 4.969624-3 8.049378+1 4.987034-3 8.351918+1 5.027242-3 9.159061+1 5.047338-3 9.531414+1 5.057383-3 9.698758+1 5.074717-3 9.955520+1 5.084003-3 1.007692+2 5.101714-3 1.028042+2 5.118336-3 1.044282+2 5.141610-3 1.063389+2 5.182144-3 1.089556+2 5.234473-3 1.114818+2 5.296369-3 1.136807+2 5.364877-3 1.153923+2 5.460686-3 1.169204+2 5.585221-3 1.179951+2 5.718859-3 1.183856+2 5.908131-3 1.180655+2 6.124945-3 1.168092+2 6.426053-3 1.142170+2 6.680573-3 1.116048+2 7.123210-3 1.066535+2 7.676869-3 1.004207+2 8.285996-3 9.391109+1 9.376755-3 8.342139+1 1.031906-2 7.571009+1 1.161882-2 6.674263+1 1.254517-2 6.128745+1 1.388832-2 5.441110+1 1.550771-2 4.747043+1 1.711893-2 4.168096+1 1.906746-2 3.586939+1 2.137243-2 3.033097+1 2.374789-2 2.581963+1 2.711789-2 2.094005+1 3.911128-2 1.158598+1 4.680129-2 8.602373+0 5.723428-2 6.128199+0 6.771719-2 4.581015+0 7.985277-2 3.419331+0 1.025274-1 2.170739+0 1.219896-1 1.571027+0 1.647109-1 8.896547-1 2.178141-1 5.204018-1 2.928849-1 2.926638-1 4.241909-1 1.412879-1 6.978306-1 5.262691-2 1.859734+0 7.441677-3 5.616308+0 8.164876-4 1.696098+1 8.953241-5 5.122134+1 9.817109-6 1.546860+2 1.076426-6 4.671441+2 1.180277-7 1.584893+3 1.025382-8 5.011872+3 1.025382-9 1.584893+4 1.02538-10 5.011872+4 1.02538-11 1.000000+5 2.57564-12 1 22000 7 7 4.790000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.367500-6 1.258900-6 2.167400-6 1.584900-6 3.435100-6 1.995300-6 5.444200-6 2.511900-6 8.628400-6 3.162300-6 1.367500-5 3.981100-6 2.167300-5 5.011900-6 3.435000-5 6.309600-6 5.444000-5 7.943300-6 8.628200-5 1.000000-5 1.367500-4 1.258900-5 2.167200-4 1.584900-5 3.433300-4 1.995300-5 5.438200-4 2.511900-5 8.614900-4 3.162300-5 1.364900-3 3.981100-5 2.162600-3 5.011900-5 3.426700-3 6.309600-5 5.429900-3 7.943300-5 8.593100-3 1.000000-4 1.359400-2 1.258900-4 2.149900-2 1.584900-4 3.390100-2 1.995300-4 5.338700-2 2.511900-4 8.373000-2 3.162300-4 1.305900-1 3.981100-4 2.018100-1 5.011900-4 3.078300-1 6.309600-4 4.603000-1 7.943300-4 6.698300-1 1.000000-3 9.405500-1 1.258900-3 1.268500+0 1.584900-3 1.646400+0 1.995300-3 2.080500+0 2.511900-3 2.593700+0 3.162300-3 3.206900+0 3.981100-3 3.925400+0 5.011900-3 4.727300+0 6.309600-3 5.595400+0 7.943300-3 6.486900+0 1.000000-2 7.341000+0 1.258900-2 8.137500+0 1.584900-2 8.882400+0 1.995300-2 9.561000+0 2.511900-2 1.006800+1 3.162300-2 1.053300+1 3.981100-2 1.077500+1 5.011900-2 1.086600+1 6.309600-2 1.081500+1 7.943300-2 1.061200+1 1.000000-1 1.030100+1 1.258900-1 9.867600+0 1.584900-1 9.355100+0 1.995300-1 8.782000+0 2.511900-1 8.174500+0 3.162300-1 7.552500+0 3.981100-1 6.931700+0 5.011900-1 6.323400+0 6.309600-1 5.735400+0 7.943300-1 5.172200+0 1.000000+0 4.636900+0 1.258900+0 4.132200+0 1.584900+0 3.659700+0 1.995300+0 3.220900+0 2.511900+0 2.817100+0 3.162300+0 2.448900+0 3.981100+0 2.116500+0 5.011900+0 1.819000+0 6.309600+0 1.555300+0 7.943300+0 1.323400+0 1.000000+1 1.121200+0 1.258900+1 9.460100-1 1.584900+1 7.953000-1 1.995300+1 6.664000-1 2.511900+1 5.567200-1 3.162300+1 4.638400-1 3.981100+1 3.855100-1 5.011900+1 3.197000-1 6.309600+1 2.646000-1 7.943300+1 2.185900-1 1.000000+2 1.802900-1 1.258900+2 1.484700-1 1.584900+2 1.221000-1 1.995300+2 1.002800-1 2.511900+2 8.226900-2 3.162300+2 6.741800-2 3.981100+2 5.519200-2 5.011900+2 4.514100-2 6.309600+2 3.688800-2 7.943300+2 3.011900-2 1.000000+3 2.457400-2 1.258900+3 2.003500-2 1.584900+3 1.632300-2 1.995300+3 1.329000-2 2.511900+3 1.081500-2 3.162300+3 8.794800-3 3.981100+3 7.148400-3 5.011900+3 5.807100-3 6.309600+3 4.715200-3 7.943300+3 3.826700-3 1.000000+4 3.104300-3 1.258900+4 2.517100-3 1.584900+4 2.040200-3 1.995300+4 1.652900-3 2.511900+4 1.338600-3 3.162300+4 1.083700-3 3.981100+4 8.770400-4 5.011900+4 7.095300-4 6.309600+4 5.738200-4 7.943300+4 4.639200-4 1.000000+5 3.749500-4 1 22000 7 7 4.790000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510165-4 3.162278-4 3.159555-4 3.981072-4 3.976761-4 5.011872-4 5.005091-4 6.309573-4 6.298907-4 7.943282-4 7.926563-4 1.000000-3 9.973907-4 1.258925-3 1.254865-3 1.584893-3 1.578605-3 1.995262-3 1.985490-3 2.511886-3 2.496599-3 3.162278-3 3.138290-3 3.981072-3 3.943530-3 5.011872-3 4.953045-3 6.309573-3 6.217858-3 7.943282-3 7.801049-3 1.000000-2 9.780150-3 1.258925-2 1.225020-2 1.584893-2 1.532609-2 1.995262-2 1.914740-2 2.511886-2 2.388057-2 3.162278-2 2.973752-2 3.981072-2 3.695038-2 5.011872-2 4.580015-2 6.309573-2 5.661126-2 7.943282-2 6.977926-2 1.000000-1 8.570189-2 1.258925-1 1.049487-1 1.584893-1 1.280531-1 1.995262-1 1.557331-1 2.511886-1 1.887287-1 3.162278-1 2.279358-1 3.981072-1 2.743697-1 5.011872-1 3.292188-1 6.309573-1 3.938102-1 7.943282-1 4.698379-1 1.000000+0 5.593064-1 1.258925+0 6.647038-1 1.584893+0 7.890488-1 1.995262+0 9.361383-1 2.511886+0 1.110681+0 3.162278+0 1.318369+0 3.981072+0 1.566286+0 5.011872+0 1.863039+0 6.309573+0 2.219212+0 7.943282+0 2.647694+0 1.000000+1 3.164261+0 1.258925+1 3.788268+0 1.584893+1 4.543352+0 1.995262+1 5.458564+0 2.511886+1 6.569298+0 3.162278+1 7.919239+0 3.981072+1 9.561681+0 5.011872+1 1.156240+1 6.309573+1 1.400207+1 7.943282+1 1.697967+1 1.000000+2 2.061703+1 1.258925+2 2.506429+1 1.584893+2 3.050593+1 1.995262+2 3.716913+1 2.511886+2 4.533425+1 3.162278+2 5.534678+1 3.981072+2 6.763126+1 5.011872+2 8.271457+1 6.309573+2 1.012436+2 7.943282+2 1.240188+2 1.000000+3 1.520295+2 1.258925+3 1.864933+2 1.584893+3 2.289232+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88205-10 1.995262-5 1.090648-9 2.511886-5 1.728532-9 3.162278-5 2.739559-9 3.981072-5 4.341938-9 5.011872-5 6.881464-9 6.309573-5 1.090606-8 7.943282-5 1.727816-8 1.000000-4 2.737722-8 1.258925-4 4.337769-8 1.584893-4 6.868767-8 1.995262-4 1.087767-7 2.511886-4 1.721576-7 3.162278-4 2.722449-7 3.981072-4 4.310928-7 5.011872-4 6.781548-7 6.309573-4 1.066635-6 7.943282-4 1.671924-6 1.000000-3 2.609289-6 1.258925-3 4.060063-6 1.584893-3 6.288401-6 1.995262-3 9.772201-6 2.511886-3 1.528747-5 3.162278-3 2.398766-5 3.981072-3 3.754197-5 5.011872-3 5.882760-5 6.309573-3 9.171546-5 7.943282-3 1.422338-4 1.000000-2 2.198503-4 1.258925-2 3.390560-4 1.584893-2 5.228443-4 1.995262-2 8.052251-4 2.511886-2 1.238294-3 3.162278-2 1.885253-3 3.981072-2 2.860332-3 5.011872-2 4.318576-3 6.309573-2 6.484472-3 7.943282-2 9.653565-3 1.000000-1 1.429811-2 1.258925-1 2.094386-2 1.584893-1 3.043623-2 1.995262-1 4.379317-2 2.511886-1 6.245995-2 3.162278-1 8.829193-2 3.981072-1 1.237374-1 5.011872-1 1.719685-1 6.309573-1 2.371472-1 7.943282-1 3.244903-1 1.000000+0 4.406936-1 1.258925+0 5.942216-1 1.584893+0 7.958444-1 1.995262+0 1.059124+0 2.511886+0 1.401205+0 3.162278+0 1.843908+0 3.981072+0 2.414786+0 5.011872+0 3.148834+0 6.309573+0 4.090361+0 7.943282+0 5.295588+0 1.000000+1 6.835739+0 1.258925+1 8.800986+0 1.584893+1 1.130558+1 1.995262+1 1.449406+1 2.511886+1 1.854957+1 3.162278+1 2.370354+1 3.981072+1 3.024904+1 5.011872+1 3.855632+1 6.309573+1 4.909366+1 7.943282+1 6.245316+1 1.000000+2 7.938297+1 1.258925+2 1.008282+2 1.584893+2 1.279834+2 1.995262+2 1.623571+2 2.511886+2 2.058544+2 3.162278+2 2.608810+2 3.981072+2 3.304759+2 5.011872+2 4.184727+2 6.309573+2 5.297137+2 7.943282+2 6.703094+2 1.000000+3 8.479705+2 1.258925+3 1.072432+3 1.584893+3 1.355970+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.280000-6 8.654560+5 6.320000-6 8.281980+5 6.480000-6 6.762920+5 6.606934-6 5.743961+5 6.700000-6 5.085560+5 6.850000-6 4.161260+5 6.950000-6 3.629200+5 7.079458-6 3.026770+5 7.170000-6 2.657800+5 7.270000-6 2.293740+5 7.380000-6 1.940880+5 7.460000-6 1.712850+5 7.550000-6 1.482310+5 7.620000-6 1.320362+5 7.700000-6 1.152432+5 7.770000-6 1.019322+5 7.852356-6 8.778689+4 7.940000-6 7.438960+4 8.000000-6 6.612740+4 8.070000-6 5.735320+4 8.130000-6 5.052460+4 8.200000-6 4.331100+4 8.255000-6 3.817500+4 8.317638-6 3.285953+4 8.340000-6 3.107318+4 8.340000-6 1.199781+6 8.365000-6 1.203299+6 8.390000-6 1.206861+6 8.390000-6 1.977168+6 8.420000-6 1.985835+6 8.460000-6 1.997558+6 8.511380-6 2.012942+6 8.560000-6 2.027823+6 8.600000-6 2.040291+6 8.635000-6 2.051361+6 8.680000-6 2.065808+6 8.720000-6 2.078843+6 8.755000-6 2.090394+6 8.790000-6 2.102075+6 8.820000-6 2.112188+6 8.850000-6 2.122392+6 8.880000-6 2.132685+6 8.912509-6 2.143935+6 8.940000-6 2.153525+6 8.970000-6 2.164069+6 9.000000-6 2.174693+6 9.035000-6 2.187185+6 9.100000-6 2.210654+6 9.128000-6 2.220868+6 9.150000-6 2.228936+6 9.165000-6 2.234458+6 9.177000-6 2.238888+6 9.193000-6 2.244811+6 9.205000-6 2.249266+6 9.220000-6 2.254849+6 9.230000-6 2.258579+6 9.240000-6 2.262317+6 9.250000-6 2.266062+6 9.260000-6 2.269814+6 9.270000-6 2.273573+6 9.283000-6 2.278470+6 9.295000-6 2.283001+6 9.306000-6 2.287162+6 9.320000-6 2.292470+6 9.335000-6 2.298172+6 9.350000-6 2.303888+6 9.365000-6 2.309619+6 9.380000-6 2.315364+6 9.400000-6 2.323046+6 9.420000-6 2.330753+6 9.450000-6 2.342359+6 9.500000-6 2.361819+6 9.520000-6 2.369391+6 9.560000-6 2.384597+6 9.585000-6 2.394143+6 9.620000-6 2.407560+6 9.650000-6 2.419109+6 9.685000-6 2.432638+6 9.700000-6 2.438451+6 9.715000-6 2.444158+6 9.750000-6 2.457508+6 9.790000-6 2.472829+6 9.830000-6 2.488216+6 9.870000-6 2.503668+6 9.910000-6 2.519182+6 9.960000-6 2.538660+6 1.000000-5 2.554308+6 1.005000-5 2.573947+6 1.010000-5 2.593671+6 1.015000-5 2.613476+6 1.021500-5 2.639339+6 1.023293-5 2.646488+6 1.027000-5 2.660793+6 1.033000-5 2.684009+6 1.039000-5 2.707315+6 1.047129-5 2.739026+6 1.055000-5 2.769051+6 1.062000-5 2.795854+6 1.071519-5 2.832445+6 1.081000-5 2.869042+6 1.092000-5 2.911679+6 1.100000-5 2.942781+6 1.102000-5 2.950264+6 1.110000-5 2.980171+6 1.122018-5 3.025210+6 1.123000-5 3.028817+6 1.135011-5 3.072847+6 1.150000-5 3.127933+6 1.165000-5 3.183192+6 1.180000-5 3.238566+6 1.195000-5 3.291601+6 1.202264-5 3.317237+6 1.215000-5 3.361027+6 1.230269-5 3.413452+6 1.250000-5 3.481188+6 1.273503-5 3.561842+6 1.288250-5 3.609980+6 1.300000-5 3.647222+6 1.330000-5 3.741857+6 1.357000-5 3.826742+6 1.364583-5 3.850460+6 1.380384-5 3.897586+6 1.390000-5 3.925379+6 1.420000-5 4.011503+6 1.460000-5 4.125596+6 1.462177-5 4.131760+6 1.479108-5 4.177133+6 1.500000-5 4.231077+6 1.550000-5 4.358861+6 1.570000-5 4.409443+6 1.584893-5 4.444688+6 1.603245-5 4.486200+6 1.659587-5 4.611974+6 1.690000-5 4.678977+6 1.698244-5 4.695703+6 1.717908-5 4.733552+6 1.778279-5 4.847996+6 1.800000-5 4.888559+6 1.819701-5 4.923123+6 1.850000-5 4.971048+6 1.927525-5 5.091144+6 2.018366-5 5.204227+6 2.041738-5 5.232624+6 2.113489-5 5.299084+6 2.162719-5 5.343339+6 2.238721-5 5.388796+6 2.290868-5 5.418808+6 2.371374-5 5.440684+6 2.426610-5 5.454882+6 2.511886-5 5.453050+6 2.540973-5 5.452239+6 2.570396-5 5.447229+6 2.660725-5 5.423055+6 2.691535-5 5.410411+6 2.818383-5 5.346928+6 2.851018-5 5.326321+6 2.900000-5 5.291047+6 2.985383-5 5.231035+6 3.019952-5 5.202659+6 3.126079-5 5.109380+6 3.162278-5 5.078491+6 3.198895-5 5.043394+6 3.350000-5 4.893861+6 3.400000-5 4.841889+6 3.570000-5 4.663735+6 3.589219-5 4.642921+6 3.672823-5 4.550340+6 3.801894-5 4.414526+6 3.845918-5 4.367056+6 4.000000-5 4.202252+6 4.073803-5 4.127469+6 4.120975-5 4.078405+6 4.365158-5 3.833511+6 4.415704-5 3.786204+6 4.442000-5 3.760014+6 4.442000-5 5.417726+6 4.495000-5 5.304292+6 4.510000-5 5.270671+6 4.510000-5 6.089119+6 4.540000-5 6.007213+6 4.550000-5 5.978825+6 4.601000-5 5.833068+6 4.623810-5 5.768237+6 4.677351-5 5.615143+6 4.700000-5 5.551010+6 4.731513-5 5.461669+6 4.770000-5 5.354605+6 4.786301-5 5.309764+6 4.810000-5 5.245181+6 4.850000-5 5.138298+6 5.069907-5 4.612547+6 5.128614-5 4.491762+6 5.150000-5 4.448501+6 5.190000-5 4.368645+6 5.270000-5 4.221972+6 5.308844-5 4.155916+6 5.370318-5 4.056692+6 5.415200-5 3.989272+6 5.450000-5 3.939240+6 5.500000-5 3.871813+6 5.540000-5 3.818952+6 5.559043-5 3.795210+6 5.580000-5 3.768958+6 5.623413-5 3.716447+6 5.650000-5 3.685984+6 5.690000-5 3.641762+6 5.730000-5 3.599903+6 5.760000-5 3.569754+6 5.830000-5 3.503838+6 5.850000-5 3.485858+6 5.900000-5 3.443773+6 5.920000-5 3.426269+6 5.950000-5 3.400885+6 6.000000-5 3.361133+6 6.030000-5 3.338225+6 6.095369-5 3.291161+6 6.110000-5 3.281071+6 6.165950-5 3.244694+6 6.201600-5 3.221908+6 6.220000-5 3.210587+6 6.309573-5 3.159510+6 6.357300-5 3.131847+6 6.400000-5 3.108765+6 6.500000-5 3.057637+6 6.531306-5 3.042821+6 6.683439-5 2.975747+6 6.839116-5 2.911827+6 6.861000-5 2.903256+6 6.861000-5 3.328248+6 6.900000-5 3.311991+6 6.918310-5 3.304623+6 7.079458-5 3.244413+6 7.161434-5 3.214948+6 7.245600-5 3.185458+6 7.500000-5 3.105078+6 7.585776-5 3.081171+6 7.673615-5 3.056127+6 7.900000-5 2.995307+6 8.000000-5 2.970401+6 8.035261-5 2.962084+6 8.128305-5 2.939856+6 8.222426-5 2.917970+6 8.317638-5 2.896060+6 8.413951-5 2.874473+6 8.709636-5 2.811015+6 8.810489-5 2.790874+6 8.912509-5 2.769551+6 9.120108-5 2.728139+6 9.225714-5 2.707902+6 9.500000-5 2.654544+6 9.650000-5 2.626884+6 9.660509-5 2.624870+6 9.800000-5 2.597878+6 9.900000-5 2.578929+6 1.000000-4 2.559991+6 1.035142-4 2.494136+6 1.047129-4 2.472036+6 1.059254-4 2.448649+6 1.080000-4 2.410500+6 1.083927-4 2.403390+6 1.096478-4 2.379906+6 1.135011-4 2.308226+6 1.148154-4 2.284713+6 1.150000-4 2.281396+6 1.190000-4 2.208462+6 1.205000-4 2.181830+6 1.220000-4 2.154815+6 1.244515-4 2.111842+6 1.260000-4 2.085249+6 1.273503-4 2.062580+6 1.288250-4 2.037413+6 1.303167-4 2.012475+6 1.318257-4 1.987679+6 1.350000-4 1.936798+6 1.364583-4 1.913521+6 1.396368-4 1.864714+6 1.400000-4 1.859272+6 1.428894-4 1.816466+6 1.430000-4 1.814857+6 1.479108-4 1.744039+6 1.480000-4 1.742803+6 1.513561-4 1.696805+6 1.531087-4 1.672971+6 1.580000-4 1.609643+6 1.584893-4 1.603464+6 1.603245-4 1.580514+6 1.640590-4 1.534287+6 1.678804-4 1.489578+6 1.698244-4 1.467429+6 1.720000-4 1.442593+6 1.737801-4 1.422776+6 1.778279-4 1.379184+6 1.800000-4 1.356458+6 1.819701-4 1.335772+6 1.900000-4 1.257018+6 1.905461-4 1.251925+6 1.927525-4 1.231325+6 1.972423-4 1.189998+6 2.018366-4 1.150204+6 2.041738-4 1.130819+6 2.089296-4 1.092596+6 2.113489-4 1.073354+6 2.213095-4 9.997813+5 2.220000-4 9.950058+5 2.264644-4 9.646220+5 2.344229-4 9.129704+5 2.371374-4 8.963857+5 2.400000-4 8.793377+5 2.454709-4 8.478371+5 2.483133-4 8.318103+5 2.511886-4 8.160841+5 2.600160-4 7.707563+5 2.660725-4 7.416521+5 2.691535-4 7.271329+5 2.818383-4 6.716076+5 2.851018-4 6.582785+5 2.884032-4 6.452118+5 3.000000-4 6.015278+5 3.054921-4 5.823140+5 3.162278-4 5.471384+5 3.349654-4 4.922264+5 3.350000-4 4.921332+5 3.388442-4 4.818409+5 3.427678-4 4.716683+5 3.467369-4 4.616671+5 3.548134-4 4.419443+5 3.672823-4 4.139548+5 3.801894-4 3.875229+5 3.935501-4 3.622731+5 4.000000-4 3.509143+5 4.027170-4 3.462895+5 4.200000-4 3.186832+5 4.315191-4 3.018270+5 4.466836-4 2.816126+5 4.518559-4 2.751021+5 4.570882-4 2.687421+5 4.623810-4 2.625305+5 4.652400-4 2.592137+5 4.652400-4 1.113102+6 4.653800-4 1.126441+6 4.657000-4 1.161670+6 4.661000-4 1.201616+6 4.665000-4 1.237720+6 4.670000-4 1.278483+6 4.675000-4 1.314784+6 4.682000-4 1.359378+6 4.690000-4 1.402463+6 4.697000-4 1.434608+6 4.705000-4 1.465706+6 4.712200-4 1.488261+6 4.712200-4 1.904951+6 4.713700-4 1.916912+6 4.715000-4 1.928028+6 4.717000-4 1.943821+6 4.721000-4 1.973531+6 4.725000-4 2.001033+6 4.726000-4 2.007379+6 4.731513-4 2.039084+6 4.735000-4 2.057593+6 4.737000-4 2.067043+6 4.742000-4 2.088480+6 4.750000-4 2.119898+6 4.757000-4 2.140309+6 4.765000-4 2.160712+6 4.775000-4 2.177234+6 4.785000-4 2.190185+6 4.786301-4 2.191394+6 4.800000-4 2.199127+6 4.815600-4 2.197944+6 4.830000-4 2.192911+6 4.845000-4 2.183332+6 4.870000-4 2.162729+6 4.897788-4 2.136284+6 5.020000-4 2.025319+6 5.128614-4 1.933119+6 5.188000-4 1.885188+6 5.248075-4 1.838446+6 5.300000-4 1.799373+6 5.350000-4 1.761176+6 5.432503-4 1.699177+6 5.559043-4 1.609916+6 5.574400-4 1.599542+6 5.574400-4 1.810707+6 5.623413-4 1.775980+6 5.650000-4 1.757974+6 5.754399-4 1.690751+6 5.821032-4 1.649772+6 6.000000-4 1.546786+6 6.025596-4 1.532497+6 6.050000-4 1.518880+6 6.095369-4 1.493696+6 6.237348-4 1.418669+6 6.531306-4 1.279930+6 6.606934-4 1.247521+6 6.700000-4 1.209271+6 6.760830-4 1.184742+6 6.839116-4 1.153957+6 7.079458-4 1.066376+6 7.328245-4 9.855631+5 7.413102-4 9.593258+5 7.498942-4 9.337265+5 7.673615-4 8.846133+5 7.943282-4 8.158335+5 8.000000-4 8.021383+5 8.035261-4 7.936372+5 8.317638-4 7.300103+5 8.609938-4 6.715173+5 9.120108-4 5.844691+5 9.225714-4 5.684067+5 9.332543-4 5.526145+5 9.440609-4 5.371716+5 9.700000-4 5.025032+5 9.772372-4 4.933992+5 1.000000-3 4.662441+5 1.011579-3 4.531545+5 1.035142-3 4.276240+5 1.071519-3 3.920702+5 1.109175-3 3.595175+5 1.122018-3 3.492908+5 1.150000-3 3.284023+5 1.161449-3 3.203642+5 1.174898-3 3.112278+5 1.202264-3 2.934783+5 1.258925-3 2.610090+5 1.288250-3 2.461774+5 1.300000-3 2.405355+5 1.318257-3 2.320865+5 1.333521-3 2.252769+5 1.348963-3 2.186723+5 1.364583-3 2.122609+5 1.412538-3 1.941524+5 1.428894-3 1.884766+5 1.479108-3 1.724451+5 1.500000-3 1.663063+5 1.513561-3 1.624859+5 1.531087-3 1.577051+5 1.584893-3 1.440757+5 1.603245-3 1.398075+5 1.621810-3 1.356694+5 1.650000-3 1.297032+5 1.698244-3 1.202619+5 1.737801-3 1.132282+5 1.757924-3 1.098551+5 1.778279-3 1.065595+5 1.840772-3 9.727074+4 1.883649-3 9.154345+4 1.905461-3 8.881130+4 1.972423-3 8.104795+4 2.000000-3 7.811203+4 2.065380-3 7.167628+4 2.089296-3 6.950702+4 2.162719-3 6.339674+4 2.213095-3 5.960973+4 2.238721-3 5.780276+4 2.264644-3 5.605054+4 2.290868-3 5.435289+4 2.300000-3 5.377630+4 2.344229-3 5.108254+4 2.371374-3 4.952156+4 2.454709-3 4.512756+4 2.540973-3 4.110457+4 2.570396-3 3.984615+4 2.600160-3 3.862623+4 2.650000-3 3.669759+4 2.660725-3 3.629761+4 2.691535-3 3.517770+4 2.851018-3 3.009001+4 2.884032-3 2.915943+4 2.951209-3 2.738479+4 3.000000-3 2.618909+4 3.019952-3 2.572061+4 3.054921-3 2.492703+4 3.090295-3 2.415185+4 3.126079-3 2.340146+4 3.273407-3 2.063242+4 3.427678-3 1.818043+4 3.467369-3 1.761546+4 3.507519-3 1.706799+4 3.548134-3 1.653660+4 3.589219-3 1.601949+4 3.630781-3 1.551898+4 3.715352-3 1.456581+4 3.935501-3 1.242082+4 4.027170-3 1.165618+4 4.073803-3 1.129179+4 4.120975-3 1.093822+4 4.168694-3 1.059440+4 4.265795-3 9.939739+3 4.518559-3 8.466151+3 4.677351-3 7.691482+3 4.731513-3 7.449490+3 4.786301-3 7.214793+3 4.800000-3 7.157717+3 4.841724-3 6.986919+3 4.897788-3 6.766187+3 4.940600-3 6.604013+3 4.940600-3 5.534591+4 4.954502-3 5.500545+4 5.069907-3 5.229061+4 5.070000-3 5.228850+4 5.230000-3 4.848388+4 5.248075-3 4.806200+4 5.432503-3 4.403658+4 5.500000-3 4.268097+4 5.623413-3 4.034876+4 5.688529-3 3.918906+4 5.754399-3 3.806280+4 5.821032-3 3.696775+4 5.956621-3 3.479543+4 6.095369-3 3.275124+4 6.309573-3 2.990866+4 6.382635-3 2.901712+4 6.531306-3 2.731291+4 6.606934-3 2.649887+4 6.683439-3 2.570880+4 6.918310-3 2.347510+4 7.079458-3 2.209527+4 7.244360-3 2.079680+4 7.413102-3 1.956949+4 7.498942-3 1.898315+4 7.585776-3 1.841444+4 7.673615-3 1.786281+4 7.762471-3 1.732757+4 7.852356-3 1.680782+4 7.943282-3 1.629084+4 8.222426-3 1.483364+4 8.413951-3 1.393551+4 8.709636-3 1.268952+4 8.810489-3 1.229940+4 9.015711-3 1.155485+4 9.225714-3 1.085452+4 9.549926-3 9.883001+3 9.772372-3 9.284248+3 9.885531-3 8.998652+3 1.023293-2 8.176092+3 1.047129-2 7.669855+3 1.059254-2 7.428383+3 1.083927-2 6.967945+3 1.096478-2 6.748568+3 1.109175-2 6.536102+3 1.161449-2 5.751203+3 1.188502-2 5.394927+3 1.202264-2 5.225165+3 1.216186-2 5.060724+3 1.230269-2 4.901455+3 1.244515-2 4.744227+3 1.273503-2 4.444716+3 1.303167-2 4.164139+3 1.318257-2 4.030576+3 1.396368-2 3.424450+3 1.412538-2 3.314646+3 1.445440-2 3.105487+3 1.496236-2 2.815951+3 1.500000-2 2.795972+3 1.548817-2 2.549917+3 1.621810-2 2.233621+3 1.659587-2 2.090526+3 1.698244-2 1.956590+3 1.717908-2 1.892817+3 1.757924-2 1.771442+3 1.778279-2 1.713708+3 1.798871-2 1.657855+3 1.819701-2 1.603818+3 1.862087-2 1.499632+3 1.972423-2 1.267855+3 2.018366-2 1.185508+3 2.113489-2 1.036380+3 2.137962-2 1.002131+3 2.162719-2 9.690113+2 2.187762-2 9.369887+2 2.213095-2 9.060221+2 2.264644-2 8.464063+2 2.317395-2 7.907159+2 2.344229-2 7.642623+2 2.398833-2 7.139755+2 2.511886-2 6.230337+2 2.660725-2 5.254814+2 2.691535-2 5.078872+2 2.722701-2 4.908817+2 2.818383-2 4.426791+2 2.884032-2 4.132015+2 3.019952-2 3.599593+2 3.198895-2 3.029544+2 3.349654-2 2.639272+2 3.388442-2 2.548876+2 3.467369-2 2.377272+2 3.630781-2 2.067697+2 3.672823-2 1.996824+2 4.073803-2 1.458916+2 4.168694-2 1.360628+2 4.216965-2 1.313545+2 4.365158-2 1.181740+2 4.415704-2 1.140813+2 4.623810-2 9.908021+1 5.011872-2 7.741947+1 5.188000-2 6.965190+1 5.308844-2 6.490778+1 5.370318-2 6.263838+1 5.495409-2 5.833494+1 5.688529-2 5.242799+1 6.309573-2 3.806090+1 6.531306-2 3.420714+1 6.760830-2 3.074125+1 6.839116-2 2.966586+1 6.918310-2 2.862014+1 7.328245-2 2.391935+1 7.673615-2 2.072120+1 7.852356-2 1.928632+1 7.943282-2 1.860660+1 8.128305-2 1.731822+1 8.413951-2 1.555102+1 8.609938-2 1.447419+1 9.332543-2 1.125788+1 9.440609-2 1.086091+1 9.549926-2 1.047794+1 9.885531-2 9.408194+0 1.000000-1 9.076475+0 1.071519-1 7.317893+0 1.083927-1 7.059881+0 1.109175-1 6.570835+0 1.135011-1 6.115673+0 1.148154-1 5.900055+0 1.188502-1 5.297788+0 1.202264-1 5.111026+0 1.216186-1 4.930842+0 1.258925-1 4.427540+0 1.333521-1 3.700262+0 1.348963-1 3.569819+0 1.364583-1 3.443985+0 1.380384-1 3.323058+0 1.396368-1 3.206377+0 1.412538-1 3.093791+0 1.513561-1 2.496642+0 1.548817-1 2.324515+0 1.566751-1 2.242958+0 1.584893-1 2.164264+0 1.603245-1 2.088339+0 1.640590-1 1.944388+0 1.717908-1 1.685580+0 1.757924-1 1.569395+0 1.778279-1 1.514344+0 1.798871-1 1.461222+0 1.819701-1 1.409965+0 1.840772-1 1.360508+0 1.862087-1 1.313319+0 1.905461-1 1.223793+0 1.949845-1 1.140371+0 1.972423-1 1.100818+0 1.995262-1 1.062641+0 2.018366-1 1.025821+0 2.041738-1 9.902753-1 2.113489-1 8.908677-1 2.137962-1 8.600014-1 2.187762-1 8.014396-1 2.290868-1 6.973048-1 2.317395-1 6.734592-1 2.344229-1 6.504298-1 2.371374-1 6.281916-1 2.540973-1 5.099866-1 2.570396-1 4.928004-1 2.630268-1 4.601461-1 2.722701-1 4.151778-1 2.754229-1 4.011897-1 2.818383-1 3.746483-1 2.884032-1 3.498635-1 2.917427-1 3.380932-1 2.951209-1 3.269117-1 2.985383-1 3.161000-1 3.090295-1 2.857642-1 3.126079-1 2.763139-1 3.162278-1 2.671781-1 3.198895-1 2.583578-1 3.235937-1 2.498285-1 3.273407-1 2.415810-1 3.311311-1 2.336060-1 3.388442-1 2.187178-1 3.507519-1 1.981465-1 3.548134-1 1.917289-1 3.589219-1 1.855313-1 3.630781-1 1.795339-1 3.672823-1 1.737306-1 3.715352-1 1.681151-1 3.801894-1 1.576322-1 3.845918-1 1.526385-1 3.890451-1 1.478031-1 3.935501-1 1.431208-1 3.981072-1 1.385870-1 4.027170-1 1.342064-1 4.120975-1 1.258568-1 4.168694-1 1.219637-1 4.315191-1 1.109921-1 4.365158-1 1.075589-1 4.415705-1 1.042319-1 4.518559-1 9.789811-2 4.570882-1 9.487700-2 4.623810-1 9.201929-2 4.731513-1 8.655946-2 4.786301-1 8.395239-2 4.841724-1 8.142382-2 4.897788-1 7.897155-2 5.069907-1 7.206590-2 5.128614-1 6.995606-2 5.248075-1 6.592004-2 5.308844-1 6.399025-2 5.370318-1 6.211701-2 5.432503-1 6.029918-2 5.495409-1 5.853855-2 5.559043-1 5.682934-2 5.754399-1 5.211662-2 5.821032-1 5.063423-2 5.888437-1 4.919406-2 5.956621-1 4.779535-2 6.025596-1 4.643965-2 6.095369-1 4.512246-2 6.165950-1 4.387869-2 6.309573-1 4.149308-2 6.382635-1 4.034936-2 6.456542-1 3.923723-2 6.531306-1 3.815612-2 6.606935-1 3.710745-2 6.683439-1 3.608762-2 6.839117-1 3.419163-2 6.918310-1 3.328133-2 6.998420-1 3.239527-2 7.079458-1 3.153284-2 7.085700-1 3.146780-2 7.161434-1 3.069613-2 7.244360-1 2.988181-2 7.328245-1 2.908912-2 7.585776-1 2.690205-2 7.673615-1 2.621020-2 7.762471-1 2.553620-2 7.852356-1 2.488148-2 8.035261-1 2.362198-2 8.317638-1 2.190189-2 8.413951-1 2.135686-2 8.511380-1 2.082540-2 8.609938-1 2.030851-2 8.810489-1 1.931294-2 8.912509-1 1.884966-2 9.015711-1 1.839748-2 9.120108-1 1.795618-2 9.225714-1 1.752547-2 9.440609-1 1.669519-2 9.549926-1 1.629624-2 9.660509-1 1.592107-2 9.772372-1 1.555456-2 9.885531-1 1.519651-2 1.000000+0 1.484670-2 1.022000+0 1.420760-2 1.023293+0 1.417132-2 1.035142+0 1.384605-2 1.059254+0 1.321770-2 1.071519+0 1.292134-2 1.083927+0 1.263160-2 1.096478+0 1.234837-2 1.135011+0 1.153624-2 1.148154+0 1.127757-2 1.161449+0 1.102570-2 1.174898+0 1.077945-2 1.202264+0 1.031951-2 1.216186+0 1.009694-2 1.250000+0 9.585936-3 1.258925+0 9.457647-3 1.273503+0 9.253682-3 1.288250+0 9.054797-3 1.303167+0 8.860198-3 1.333521+0 8.496371-3 1.364583+0 8.147473-3 1.396368+0 7.812918-3 1.412538+0 7.650826-3 1.428894+0 7.492661-3 1.445440+0 7.337762-3 1.479108+0 7.047960-3 1.548817+0 6.502226-3 1.566751+0 6.372536-3 1.603245+0 6.121728-3 1.659587+0 5.776473-3 1.698244+0 5.557194-3 1.717908+0 5.450701-3 1.737801+0 5.346246-3 1.757924+0 5.244140-3 1.778279+0 5.143994-3 1.798871+0 5.045755-3 1.862087+0 4.771863-3 1.905461+0 4.597581-3 1.927525+0 4.512844-3 1.949845+0 4.429669-3 1.972423+0 4.348303-3 2.018366+0 4.190035-3 2.065380+0 4.042740-3 2.137962+0 3.831457-3 2.162719+0 3.763511-3 2.187762+0 3.696773-3 2.213095+0 3.631442-3 2.290868+0 3.442303-3 2.344229+0 3.325848-3 2.426610+0 3.158516-3 2.454709+0 3.104630-3 2.483133+0 3.051667-3 2.511886+0 2.999788-3 2.600160+0 2.849387-3 2.660725+0 2.756526-3 2.754229+0 2.622879-3 2.818383+0 2.537401-3 2.851018+0 2.495714-3 2.884032+0 2.454848-3 2.985383+0 2.336231-3 3.054921+0 2.262755-3 3.198895+0 2.122665-3 3.273407+0 2.055907-3 3.311311+0 2.023321-3 3.349654+0 1.991356-3 3.467369+0 1.898462-3 3.548134+0 1.840856-3 3.715352+0 1.730836-3 3.801894+0 1.678317-3 3.845918+0 1.652659-3 3.890451+0 1.627474-3 4.027170+0 1.554201-3 4.120975+0 1.508674-3 4.168694+0 1.486414-3 4.365158+0 1.400610-3 4.466836+0 1.359583-3 4.518559+0 1.339524-3 4.570882+0 1.319820-3 4.786301+0 1.243864-3 4.897788+0 1.208568-3 4.954502+0 1.191298-3 5.248075+0 1.108579-3 5.370318+0 1.077123-3 5.432503+0 1.061732-3 5.495409+0 1.046566-3 5.559043+0 1.031655-3 5.754399+0 9.881859-4 5.888437+0 9.610325-4 6.000000+0 9.394526-4 6.309573+0 8.839698-4 6.456542+0 8.596807-4 6.531306+0 8.477878-4 6.606934+0 8.360638-4 6.683439+0 8.245304-4 7.000000+0 7.797540-4 7.161434+0 7.591753-4 7.328245+0 7.389444-4 7.762471+0 6.906946-4 8.000000+0 6.667010-4 8.128305+0 6.543735-4 8.222427+0 6.455985-4 8.317638+0 6.369616-4 8.709636+0 6.035538-4 8.810489+0 5.954794-4 9.015711+0 5.800755-4 9.120108+0 5.725238-4 9.660509+0 5.362146-4 1.000000+1 5.155439-4 1.011579+1 5.088327-4 1.035142+1 4.956744-4 1.059254+1 4.828838-4 1.122018+1 4.523338-4 1.135011+1 4.464594-4 1.161449+1 4.352156-4 1.174898+1 4.297004-4 1.230269+1 4.083301-4 1.273503+1 3.930028-4 1.303167+1 3.831056-4 1.348963+1 3.687289-4 1.364583+1 3.640578-4 1.412538+1 3.504216-4 1.513561+1 3.246629-4 1.531087+1 3.205578-4 1.566751+1 3.126804-4 1.640590+1 2.975018-4 1.678804+1 2.901912-4 1.717908+1 2.830604-4 1.800000+1 2.691409-4 1.819701+1 2.659946-4 1.905461+1 2.531091-4 2.065380+1 2.320432-4 2.089296+1 2.291805-4 2.137962+1 2.236613-4 2.264644+1 2.104381-4 2.371374+1 2.004246-4 2.426610+1 1.955981-4 2.570396+1 1.840367-4 2.754229+1 1.710795-4 2.951209+1 1.590346-4 2.985383+1 1.571112-4 3.019952+1 1.552414-4 3.054921+1 1.533939-4 3.162278+1 1.479821-4 3.349654+1 1.393835-4 3.467369+1 1.344661-4 3.801894+1 1.221866-4 3.845918+1 1.207345-4 4.518559+1 1.021273-4 4.786301+1 9.620136-5 4.841724+1 9.507380-5 4.954502+1 9.285819-5 5.248075+1 8.754240-5 5.495409+1 8.350979-5 6.237348+1 7.335388-5 6.309573+1 7.249513-5 8.128305+1 5.594951-5 8.709636+1 5.213280-5 8.912509+1 5.093087-5 9.015711+1 5.034034-5 9.885531+1 4.585604-5 1.047129+2 4.325853-5 1.216186+2 3.717364-5 1.244515+2 3.631726-5 1.621810+2 2.777875-5 1.737801+2 2.590283-5 1.778279+2 2.530951-5 1.798871+2 2.501796-5 1.972423+2 2.280328-5 2.089296+2 2.151981-5 2.426610+2 1.851101-5 2.483133+2 1.808722-5 3.235937+2 1.385806-5 3.467369+2 1.292789-5 7.079458+2 6.322461-6 7.161434+2 6.249939-6 7.852356+2 5.698926-6 8.317638+2 5.379493-6 9.660509+2 4.630304-6 9.885531+2 4.524718-6 2.570396+3 1.737185-6 2.754229+3 1.621035-6 1.122018+4 3.978570-7 1.135011+4 3.933021-7 2.483133+4 1.797587-7 5.248075+4 8.504623-8 1.000000+5 4.462997-8 1 22000 7 0 4.790000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.280000-6 6.280000-6 8.340000-6 6.280000-6 8.340000-6 8.286648-6 8.390000-6 8.293308-6 8.390000-6 8.330980-6 9.250000-6 8.358817-6 1.420000-5 8.295744-6 4.442000-5 8.289443-6 4.442000-5 1.066983-5 4.510000-5 1.061668-5 4.510000-5 1.136634-5 4.700000-5 1.115117-5 5.128614-5 1.061379-5 5.308844-5 1.044083-5 5.500000-5 1.031023-5 5.690000-5 1.023965-5 5.920000-5 1.022366-5 6.201600-5 1.028961-5 6.531306-5 1.044869-5 6.861000-5 1.066039-5 6.861000-5 1.227961-5 8.413951-5 1.339472-5 9.225714-5 1.390483-5 1.000000-4 1.430326-5 1.096478-4 1.469309-5 1.220000-4 1.506575-5 1.364583-4 1.538841-5 1.584893-4 1.575512-5 1.819701-4 1.603051-5 2.113489-4 1.627703-5 2.600160-4 1.656065-5 3.350000-4 1.684714-5 4.518559-4 1.714226-5 4.652400-4 1.716896-5 4.652400-4 2.867817-5 4.665000-4 2.904794-5 4.682000-4 2.934943-5 4.712200-4 2.962883-5 4.712200-4 3.020896-5 4.750000-4 3.044552-5 4.815600-4 3.055947-5 5.574400-4 3.055777-5 5.574400-4 3.262968-5 1.000000-3 3.385177-5 1.500000-3 3.493529-5 2.162719-3 3.605506-5 2.951209-3 3.708159-5 3.935501-3 3.806166-5 4.940600-3 3.883157-5 4.940600-3 5.718791-5 7.244360-3 5.755484-5 1.318257-2 5.788313-5 3.388442-2 5.812591-5 2.371374-1 5.825201-5 1.000000+5 5.826592-5 1 22000 7 7 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.280000-6 0.0 4.442000-5 0.0 4.442000-5 4.50249-10 4.510000-5 4.40235-10 4.510000-5 5.58835-10 4.550000-5 5.51859-10 4.623810-5 5.36836-10 4.810000-5 4.93462-10 5.069907-5 4.34145-10 5.190000-5 4.10516-10 5.270000-5 3.97030-10 5.370318-5 3.82421-10 5.450000-5 3.72771-10 5.540000-5 3.64166-10 5.650000-5 3.57075-10 5.730000-5 3.53930-10 5.850000-5 3.52091-10 5.950000-5 3.53295-10 6.030000-5 3.55893-10 6.110000-5 3.59600-10 6.220000-5 3.66371-10 6.357300-5 3.77286-10 6.531306-5 3.94488-10 6.683439-5 4.11236-10 6.861000-5 4.33319-10 6.861000-5 5.65951-10 7.245600-5 6.12338-10 8.035261-5 7.10775-10 8.413951-5 7.55355-10 8.912509-5 8.08995-10 9.225714-5 8.40395-10 9.800000-5 8.90864-10 1.035142-4 9.32723-10 1.096478-4 9.72317-10 1.150000-4 1.002045-9 1.220000-4 1.035578-9 1.318257-4 1.075052-9 1.430000-4 1.112174-9 1.531087-4 1.139884-9 1.640590-4 1.165264-9 1.819701-4 1.198102-9 2.041738-4 1.228542-9 2.344229-4 1.259047-9 2.691535-4 1.284117-9 3.162278-4 1.307272-9 3.801894-4 1.328139-9 4.652400-4 1.345401-9 4.652400-4 2.512552-7 4.661000-4 2.571108-7 4.670000-4 2.615813-7 4.682000-4 2.658067-7 4.697000-4 2.694038-7 4.712200-4 2.718539-7 4.712200-4 2.945058-7 4.726000-4 2.980378-7 4.750000-4 3.017624-7 4.786301-4 3.045292-7 4.845000-4 3.059050-7 5.574400-4 3.053900-7 5.574400-4 3.194381-7 9.440609-4 3.239541-7 1.840772-3 3.307287-7 3.090295-3 3.374813-7 4.731513-3 3.435940-7 4.940600-3 3.442529-7 4.940600-3 8.632812-4 5.500000-3 8.679368-4 8.222426-3 8.767413-4 1.303167-2 8.826303-4 2.511886-2 8.865242-4 9.549926-2 8.883480-4 1.000000+5 8.885404-4 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.280000-6 0.0 8.340000-6 2.060000-6 8.340000-6 5.335203-8 8.390000-6 9.669157-8 8.390000-6 5.902041-8 8.460000-6 1.238871-7 8.560000-6 2.176908-7 8.680000-6 3.318656-7 8.850000-6 4.961414-7 9.100000-6 7.419155-7 9.520000-6 1.162245-6 1.071519-5 2.377235-6 1.300000-5 4.695520-6 1.850000-5 1.021160-5 4.442000-5 3.613056-5 4.442000-5 3.374972-5 4.510000-5 3.448288-5 4.510000-5 3.373311-5 5.308844-5 4.264722-5 5.760000-5 4.737232-5 6.357300-5 5.321735-5 6.861000-5 5.794918-5 6.861000-5 5.632983-5 9.225714-5 7.835147-5 1.150000-4 1.001300-4 1.698244-4 1.539239-4 4.027170-4 3.856831-4 4.652400-4 4.480697-4 4.652400-4 4.363106-4 4.712200-4 4.413193-4 4.712200-4 4.407165-4 5.574400-4 5.265769-4 5.574400-4 5.244909-4 4.940600-3 4.901424-3 4.940600-3 4.020131-3 1.412538-2 1.318418-2 1.000000+5 1.000000+5 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 4.940600-3 4.874190+4 5.070000-3 4.614680+4 5.230000-3 4.285460+4 5.821032-3 3.279767+4 7.244360-3 1.855022+4 7.852356-3 1.502086+4 9.885531-3 8.075159+3 1.230269-2 4.410787+3 1.500000-2 2.521080+3 1.819701-2 1.448250+3 2.213095-2 8.190324+2 2.722701-2 4.441250+2 3.349654-2 2.389295+2 4.168694-2 1.232313+2 5.308844-2 5.880782+1 6.839116-2 2.688379+1 1.364583-1 3.121724+0 1.840772-1 1.232982+0 2.187762-1 7.263014-1 2.540973-1 4.621879-1 2.917427-1 3.063897-1 3.311311-1 2.116990-1 3.715352-1 1.523489-1 4.120975-1 1.140553-1 4.570882-1 8.597887-2 5.069907-1 6.530652-2 5.559043-1 5.150093-2 6.095369-1 4.089266-2 6.683439-1 3.270596-2 7.328245-1 2.636304-2 8.035261-1 2.140694-2 8.810489-1 1.750136-2 9.549926-1 1.477001-2 1.059254+0 1.198106-2 1.174898+0 9.771209-3 1.303167+0 8.031164-3 1.445440+0 6.651009-3 1.603245+0 5.548752-3 1.798871+0 4.573399-3 2.018366+0 3.797820-3 2.290868+0 3.120040-3 2.600160+0 2.582630-3 2.985383+0 2.117531-3 3.467369+0 1.720745-3 4.027170+0 1.408711-3 4.786301+0 1.127418-3 5.754399+0 8.956879-4 7.000000+0 7.067600-4 8.810489+0 5.397328-4 1.135011+1 4.046588-4 1.531087+1 2.905462-4 2.089296+1 2.077245-4 2.985383+1 1.424028-4 4.786301+1 8.719457-5 8.709636+1 4.725191-5 1.737801+2 2.347862-5 3.467369+2 1.171788-5 2.754229+3 1.469265-6 1.000000+5 4.045500-8 1 22000 7 0 4.790000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 4.940600-3 5.967500-5 1.000000+5 5.967500-5 1 22000 7 7 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.940600-3 9.802000-4 1.000000+5 9.802000-4 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.940600-3 3.900725-3 1.000000+5 1.000000+5 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 5.574400-4 2.111654+5 6.050000-4 1.910477+5 6.531306-4 1.707921+5 7.413102-4 1.428996+5 7.943282-4 1.292074+5 9.332543-4 1.005062+5 1.011579-3 8.799448+4 1.174898-3 6.801748+4 1.288250-3 5.768449+4 1.479108-3 4.463072+4 1.650000-3 3.619260+4 1.905461-3 2.722143+4 2.162719-3 2.101847+4 2.454709-3 1.612223+4 2.851018-3 1.168069+4 3.273407-3 8.604538+3 3.715352-3 6.460058+3 4.265795-3 4.693332+3 4.954502-3 3.294283+3 5.754399-3 2.294234+3 6.683439-3 1.585538+3 7.762471-3 1.087553+3 9.015711-3 7.404363+2 1.047129-2 5.005246+2 1.230269-2 3.257807+2 1.445440-2 2.104461+2 1.698244-2 1.349679+2 2.018366-2 8.322638+1 2.398833-2 5.093667+1 2.884032-2 2.993641+1 3.467369-2 1.746124+1 4.216965-2 9.772716+0 5.188000-2 5.245538+0 6.531306-2 2.606561+0 8.609938-2 1.116641+0 1.513561-1 1.951083-1 1.995262-1 8.364349-2 2.371374-1 4.956178-2 2.754229-1 3.171945-2 3.162278-1 2.116374-2 3.548134-1 1.520351-2 3.981072-1 1.100053-2 4.415705-1 8.280410-3 4.897788-1 6.278092-3 5.432503-1 4.797132-3 5.956621-1 3.802941-3 6.531306-1 3.036119-3 7.085700-1 2.503348-3 7.762471-1 2.034140-3 8.511380-1 1.660958-3 9.440609-1 1.330722-3 1.023293+0 1.128010-3 1.148154+0 8.971271-4 1.273503+0 7.364703-4 1.412538+0 6.090750-4 1.566751+0 5.073758-4 1.737801+0 4.255958-4 1.949845+0 3.526531-4 2.187762+0 2.942537-4 2.483133+0 2.429234-4 2.851018+0 1.986662-4 3.311311+0 1.610627-4 3.845918+0 1.315673-4 4.518559+0 1.066274-4 5.495409+0 8.332078-5 6.606934+0 6.655567-5 8.222427+0 5.139107-5 1.035142+1 3.945495-5 1.364583+1 2.897708-5 1.819701+1 2.117089-5 2.570396+1 1.465068-5 3.801894+1 9.724892-6 6.237348+1 5.838431-6 1.216186+2 2.959373-6 2.426610+2 1.474060-6 9.660509+2 3.686184-7 1.000000+5 3.555400-9 1 22000 7 0 4.790000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 5.574400-4 4.832400-5 1.000000+5 4.832400-5 1 22000 7 7 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 5.574400-4 4.258500-7 1.000000+5 4.258500-7 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 5.574400-4 5.086902-4 1.000000+5 1.000000+5 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 4.712200-4 4.166900+5 4.713700-4 4.239000+5 4.717000-4 4.418500+5 4.721000-4 4.618500+5 4.726000-4 4.841000+5 4.731513-4 5.057600+5 4.737000-4 5.249500+5 4.742000-4 5.404300+5 4.750000-4 5.622600+5 4.757000-4 5.785700+5 4.765000-4 5.942700+5 4.775000-4 6.102100+5 4.786301-4 6.242000+5 4.800000-4 6.363000+5 4.815600-4 6.447300+5 4.830000-4 6.484900+5 4.845000-4 6.492900+5 4.870000-4 6.457600+5 5.020000-4 6.052763+5 5.350000-4 5.269500+5 5.650000-4 4.631100+5 6.025596-4 4.005500+5 6.760830-4 3.052200+5 7.328245-4 2.507000+5 7.943282-4 2.046200+5 9.120108-4 1.426200+5 1.000000-3 1.115000+5 1.161449-3 7.389900+4 1.300000-3 5.385600+4 1.513561-3 3.484000+4 1.737801-3 2.325000+4 1.972423-3 1.594600+4 2.290868-3 1.012400+4 2.660725-3 6.370900+3 3.054921-3 4.123700+3 3.507519-3 2.651500+3 4.073803-3 1.631500+3 4.731513-3 9.965700+2 5.500000-3 6.027000+2 6.382635-3 3.639700+2 7.413102-3 2.176500+2 8.709636-3 1.241500+2 1.023293-2 7.028200+1 1.216186-2 3.791600+1 1.445440-2 2.030700+1 1.757924-2 9.926600+0 2.137962-2 4.816600+0 2.660725-2 2.129000+0 3.388442-2 8.567800-1 7.673615-2 3.855451-2 9.549926-2 1.692270-2 1.148154-1 8.520940-3 1.348963-1 4.708062-3 1.566751-1 2.733965-3 1.798871-1 1.667671-3 2.041738-1 1.067519-3 2.317395-1 6.884005-4 2.630268-1 4.474496-4 2.951209-1 3.046928-4 3.273407-1 2.170768-4 3.630781-1 1.557310-4 4.027170-1 1.125484-4 4.415705-1 8.489703-5 4.841724-1 6.447558-5 5.308844-1 4.933283-5 5.821032-1 3.801039-5 6.382635-1 2.948854-5 6.998420-1 2.303624-5 7.673615-1 1.812252-5 8.609938-1 1.349736-5 9.120108-1 1.170981-5 9.660509-1 1.022448-5 1.022000+0 9.021969-6 1.096478+0 7.779385-6 1.161449+0 6.936056-6 1.250000+0 6.039689-6 1.364583+0 5.158609-6 1.659587+0 3.684874-6 1.862087+0 3.042240-6 2.065380+0 2.576831-6 2.344229+0 2.120035-6 2.660725+0 1.757123-6 3.054921+0 1.442377-6 3.548134+0 1.173459-6 4.120975+0 9.616967-7 4.897788+0 7.704687-7 5.888437+0 6.126490-7 7.161434+0 4.839877-7 9.015711+0 3.698076-7 1.161449+1 2.774781-7 1.566751+1 1.993485-7 2.137962+1 1.426167-7 3.019952+1 9.899619-8 4.786301+1 6.134918-8 8.709636+1 3.324642-8 1.737801+2 1.651924-8 3.467369+2 8.244655-9 2.754229+3 1.033786-9 1.000000+5 2.84640-11 1 22000 7 0 4.790000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 4.712200-4 3.228100-5 1.000000+5 3.228100-5 1 22000 7 7 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 4.712200-4 3.754100-7 1.000000+5 3.754100-7 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 4.712200-4 4.385636-4 1.000000+5 1.000000+5 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 4.652400-4 8.538880+5 4.653800-4 8.673880+5 4.657000-4 9.029840+5 4.661000-4 9.433880+5 4.665000-4 9.799480+5 4.670000-4 1.021280+6 4.675000-4 1.058148+6 4.682000-4 1.103532+6 4.690000-4 1.147516+6 4.697000-4 1.180444+6 4.705000-4 1.212432+6 4.715000-4 1.244976+6 4.725000-4 1.270396+6 4.735000-4 1.289740+6 4.750000-4 1.309284+6 4.765000-4 1.319696+6 4.785000-4 1.322984+6 4.800000-4 1.319772+6 4.830000-4 1.304464+6 5.300000-4 1.063836+6 5.623413-4 9.244700+5 6.000000-4 7.978120+5 6.700000-4 6.137240+5 7.328245-4 4.922357+5 8.000000-4 3.937304+5 9.225714-4 2.704034+5 1.011579-3 2.109311+5 1.174898-3 1.393366+5 1.318257-3 1.006220+5 1.531087-3 6.533294+4 1.757924-3 4.348701+4 2.000000-3 2.952988+4 2.300000-3 1.926792+4 2.650000-3 1.240164+4 3.054921-3 7.908170+3 3.548134-3 4.886642+3 4.120975-3 2.996748+3 4.800000-3 1.807016+3 5.623413-3 1.060287+3 6.606934-3 6.109938+2 7.673615-3 3.635001+2 9.015711-3 2.061713+2 1.059254-2 1.160202+2 1.244515-2 6.482814+1 1.496236-2 3.307184+1 1.798871-2 1.673409+1 2.187762-2 8.048265+0 2.691535-2 3.678007+0 3.349654-2 1.596681+0 4.365158-2 5.766702-1 7.852356-2 5.965041-2 9.885531-2 2.463285-2 1.188502-1 1.222461-2 1.396368-1 6.668773-3 1.603245-1 3.989690-3 1.819701-1 2.508533-3 2.041738-1 1.656366-3 2.290868-1 1.101762-3 2.540973-1 7.688138-4 2.818383-1 5.405173-4 3.090295-1 3.978967-4 3.388442-1 2.949433-4 3.672823-1 2.283731-4 4.027170-1 1.717515-4 4.365158-1 1.347273-4 4.731513-1 1.063442-4 5.128614-1 8.447828-5 5.559043-1 6.755864-5 6.025596-1 5.440406-5 6.531306-1 4.413754-5 7.079458-1 3.606116-5 7.673615-1 2.966864-5 8.317638-1 2.457952-5 9.015711-1 2.050597-5 9.772372-1 1.722348-5 1.059254+0 1.458828-5 1.148154+0 1.243167-5 1.258925+0 1.043020-5 1.396368+0 8.628900-6 1.566751+0 7.048438-6 1.757924+0 5.800495-6 1.972423+0 4.808938-6 2.213095+0 4.014931-6 2.511886+0 3.316744-6 2.884032+0 2.714348-6 3.349654+0 2.201980-6 3.890451+0 1.799780-6 4.570882+0 1.459323-6 5.495409+0 1.157304-6 6.606934+0 9.244490-7 8.222427+0 7.138069-7 1.035142+1 5.480177-7 1.348963+1 4.076291-7 1.800000+1 2.975400-7 2.570396+1 2.034903-7 3.845918+1 1.334659-7 6.309573+1 8.014394-8 1.244515+2 4.015761-8 2.483133+2 2.000514-8 9.885531+2 5.003336-9 1.000000+5 4.93830-11 1 22000 7 0 4.790000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 4.652400-4 3.217200-5 1.000000+5 3.217200-5 1 22000 7 7 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 4.652400-4 3.271200-7 1.000000+5 3.271200-7 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 4.652400-4 4.327409-4 1.000000+5 1.000000+5 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 6.861000-5 4.249920+5 7.161434-5 4.157374+5 7.500000-5 4.088560+5 8.000000-5 4.026680+5 9.225714-5 3.930772+5 9.800000-5 3.868480+5 1.035142-4 3.788014+5 1.083927-4 3.700641+5 1.148154-4 3.567395+5 1.220000-4 3.404400+5 1.303167-4 3.212203+5 1.428894-4 2.937066+5 1.584893-4 2.636243+5 1.737801-4 2.379451+5 1.900000-4 2.138400+5 2.089296-4 1.893400+5 2.371374-4 1.595152+5 2.691535-4 1.333963+5 3.000000-4 1.136194+5 3.427678-4 9.249884+4 3.935501-4 7.423779+4 4.466836-4 6.024598+4 5.248075-4 4.581486+4 6.025596-4 3.596928+4 7.079458-4 2.692395+4 8.317638-4 1.998974+4 9.700000-4 1.494652+4 1.150000-3 1.075270+4 1.364583-3 7.663856+3 1.621810-3 5.402350+3 1.905461-3 3.869363+3 2.213095-3 2.818848+3 2.570396-3 2.039153+3 3.000000-3 1.448546+3 3.467369-3 1.043630+3 4.027170-3 7.381904+2 4.677351-3 5.183510+2 5.432503-3 3.613754+2 6.309573-3 2.501696+2 7.413102-3 1.670628+2 8.709636-3 1.106996+2 1.023293-2 7.278547+1 1.202264-2 4.748170+1 1.412538-2 3.074342+1 1.659587-2 1.976307+1 1.972423-2 1.221618+1 2.344229-2 7.494917+0 2.818383-2 4.415864+0 3.349654-2 2.669429+0 4.073803-2 1.497141+0 5.011872-2 8.052548-1 6.309573-2 4.008096-1 8.413951-2 1.661069-1 1.083927-1 7.607107-2 1.584893-1 2.351582-2 1.972423-1 1.203780-2 2.344229-1 7.130647-3 2.722701-1 4.560656-3 3.126079-1 3.041099-3 3.548134-1 2.113100-3 3.981072-1 1.529090-3 4.415705-1 1.150875-3 4.897788-1 8.725342-4 5.370318-1 6.867800-4 5.888437-1 5.441715-4 6.456542-1 4.342592-4 7.079458-1 3.490535-4 7.762471-1 2.826092-4 8.511380-1 2.304042-4 9.225714-1 1.939178-4 1.000000+0 1.642800-4 1.148154+0 1.248445-4 1.273503+0 1.024320-4 1.412538+0 8.468925-5 1.566751+0 7.054004-5 1.737801+0 5.917018-5 1.949845+0 4.903002-5 2.187762+0 4.090967-5 2.483133+0 3.377325-5 2.851018+0 2.762080-5 3.311311+0 2.239325-5 3.845918+0 1.829260-5 4.518559+0 1.482474-5 5.432503+0 1.175101-5 6.531306+0 9.382378-6 8.128305+0 7.241629-6 1.011579+1 5.630876-6 1.303167+1 4.239350-6 1.717908+1 3.132271-6 2.426610+1 2.164347-6 3.467369+1 1.488182-6 5.495409+1 9.242443-7 1.047129+2 4.788237-7 2.089296+2 2.382614-7 8.317638+2 5.953473-8 5.248075+4 9.41861-10 1.000000+5 4.94310-10 1 22000 7 0 4.790000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 6.861000-5 2.334100-5 1.000000+5 2.334100-5 1 22000 7 7 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.861000-5 1.472000-9 1.000000+5 1.472000-9 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.861000-5 4.526753-5 1.000000+5 1.000000+5 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 4.510000-5 8.184480+5 4.550000-5 7.974060+5 4.601000-5 7.669155+5 4.677351-5 7.185515+5 4.770000-5 6.587040+5 4.850000-5 6.088340+5 5.190000-5 4.356580+5 5.308844-5 3.920578+5 5.415200-5 3.600240+5 5.500000-5 3.388100+5 5.580000-5 3.219940+5 5.650000-5 3.095900+5 5.730000-5 2.978000+5 5.830000-5 2.862320+5 5.920000-5 2.784620+5 6.000000-5 2.733760+5 6.095369-5 2.692389+5 6.201600-5 2.667221+5 6.309573-5 2.660333+5 6.400000-5 2.666440+5 6.531306-5 2.690793+5 6.683439-5 2.736599+5 6.900000-5 2.824000+5 7.245600-5 2.992586+5 7.900000-5 3.328320+5 8.317638-5 3.521552+5 8.709636-5 3.677743+5 9.120108-5 3.812437+5 9.500000-5 3.909980+5 9.900000-5 3.984540+5 1.035142-4 4.035913+5 1.083927-4 4.057101+5 1.135011-4 4.048275+5 1.190000-4 4.011500+5 1.244515-4 3.954006+5 1.318257-4 3.852794+5 1.400000-4 3.721400+5 1.480000-4 3.582300+5 1.580000-4 3.400400+5 1.678804-4 3.216656+5 1.778279-4 3.032181+5 1.905461-4 2.804082+5 2.041738-4 2.574873+5 2.220000-4 2.303680+5 2.400000-4 2.062820+5 2.600160-4 1.827904+5 2.818383-4 1.606309+5 3.054921-4 1.401727+5 3.350000-4 1.191102+5 3.672823-4 1.005293+5 4.027170-4 8.418940+4 4.466836-4 6.837847+4 4.897788-4 5.648598+4 5.432503-4 4.522349+4 6.095369-4 3.501814+4 6.839116-4 2.689979+4 7.673615-4 2.049616+4 8.609938-4 1.550622+4 9.772372-4 1.131607+4 1.109175-3 8.192564+3 1.258925-3 5.884676+3 1.428894-3 4.194974+3 1.621810-3 2.967503+3 1.840772-3 2.083088+3 2.065380-3 1.499865+3 2.344229-3 1.037153+3 2.660725-3 7.117537+2 3.019952-3 4.848196+2 3.427678-3 3.277905+2 3.935501-3 2.122289+2 4.518559-3 1.363765+2 5.248075-3 8.379274+1 6.095369-3 5.108232+1 7.079458-3 3.090553+1 8.222426-3 1.856223+1 9.549926-3 1.106469+1 1.109175-2 6.547947+0 1.303167-2 3.694074+0 1.548817-2 1.985161+0 1.862087-2 1.015577+0 2.264644-2 4.941926-1 2.818383-2 2.191019-1 3.672823-2 8.114921-2 7.328245-2 5.952187-3 9.440609-2 2.298293-3 1.135011-1 1.158239-3 1.333521-1 6.401640-4 1.548817-1 3.716450-4 1.778279-1 2.265044-4 2.018366-1 1.448441-4 2.290868-1 9.330448-5 2.570396-1 6.299644-5 2.884032-1 4.284510-5 3.198895-1 3.048993-5 3.548134-1 2.184634-5 3.935501-1 1.576711-5 4.365158-1 1.146626-5 4.786301-1 8.698754-6 5.248075-1 6.646178-6 5.754399-1 5.114607-6 6.309573-1 3.963240-6 6.918310-1 3.092370-6 7.585776-1 2.430021-6 8.609938-1 1.757043-6 9.120108-1 1.524477-6 9.660509-1 1.331210-6 1.022000+0 1.174700-6 1.096478+0 1.012964-6 1.161449+0 9.031756-7 1.250000+0 7.864500-7 1.364583+0 6.716963-7 1.659587+0 4.797658-7 1.862087+0 3.960955-7 2.065380+0 3.355084-7 2.344229+0 2.760336-7 2.660725+0 2.287751-7 3.054921+0 1.877922-7 3.548134+0 1.527905-7 4.168694+0 1.233543-7 4.954502+0 9.887070-8 6.000000+0 7.795900-8 7.328245+0 6.132050-8 9.120108+0 4.751764-8 1.174898+1 3.566702-8 1.566751+1 2.595625-8 2.137962+1 1.856809-8 3.054921+1 1.273504-8 4.841724+1 7.893621-9 8.912509+1 4.228522-9 1.778279+2 2.101479-9 7.079458+2 5.24591-10 1.122018+4 3.30378-11 1.000000+5 3.70610-12 1 22000 7 0 4.790000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 4.510000-5 1.619400-5 1.000000+5 1.619400-5 1 22000 7 7 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.510000-5 1.322600-9 1.000000+5 1.322600-9 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.510000-5 2.890468-5 1.000000+5 1.000000+5 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.442000-5 1.657712+6 4.495000-5 1.596056+6 4.540000-5 1.539312+6 4.623810-5 1.428429+6 4.700000-5 1.327820+6 4.810000-5 1.189848+6 5.069907-5 9.212871+5 5.190000-5 8.271800+5 5.270000-5 7.744960+5 5.370318-5 7.188971+5 5.450000-5 6.823240+5 5.540000-5 6.482680+5 5.623413-5 6.228561+5 5.690000-5 6.063280+5 5.760000-5 5.922040+5 5.850000-5 5.783840+5 5.950000-5 5.679720+5 6.030000-5 5.628440+5 6.110000-5 5.601360+5 6.220000-5 5.597400+5 6.357300-5 5.635871+5 6.500000-5 5.714600+5 6.683439-5 5.856559+5 6.918310-5 6.079774+5 7.673615-5 6.880265+5 8.035261-5 7.234939+5 8.413951-5 7.561776+5 8.810489-5 7.847665+5 9.225714-5 8.081945+5 9.650000-5 8.253360+5 1.000000-4 8.346000+5 1.047129-4 8.408009+5 1.096478-4 8.406167+5 1.150000-4 8.341960+5 1.205000-4 8.225840+5 1.273503-4 8.033183+5 1.350000-4 7.778120+5 1.430000-4 7.484600+5 1.513561-4 7.163698+5 1.603245-4 6.811225+5 1.698244-4 6.437868+5 1.800000-4 6.045600+5 1.927525-4 5.574375+5 2.089296-4 5.024783+5 2.264644-4 4.496307+5 2.454709-4 3.994469+5 2.660725-4 3.522991+5 2.884032-4 3.083400+5 3.162278-4 2.627565+5 3.467369-4 2.223043+5 3.801894-4 1.867659+5 4.200000-4 1.533612+5 4.623810-4 1.259115+5 5.128614-4 1.010922+5 5.754399-4 7.847256+4 6.531306-4 5.883255+4 7.328245-4 4.488846+4 8.317638-4 3.305338+4 9.440609-4 2.412657+4 1.071519-3 1.747235+4 1.202264-3 1.293924+4 1.348963-3 9.523008+3 1.531087-3 6.748530+3 1.737801-3 4.744565+3 1.972423-3 3.309557+3 2.238721-3 2.290238+3 2.540973-3 1.572664+3 2.884032-3 1.071815+3 3.273407-3 7.250316+2 3.715352-3 4.869878+2 4.265795-3 3.130821+2 4.897788-3 1.997787+2 5.688529-3 1.218410+2 6.606934-3 7.373765+1 7.585776-3 4.606036+1 8.810489-3 2.745917+1 1.023293-2 1.624704+1 1.188502-2 9.542954+0 1.396368-2 5.339891+0 1.659587-2 2.844089+0 1.972423-2 1.503590+0 2.344229-2 7.893841-1 2.884032-2 3.611956-1 3.630781-2 1.502819-1 4.623810-2 5.939929-2 7.943282-2 7.386502-3 1.000000-1 3.055375-3 1.202264-1 1.518581-3 1.412538-1 8.297867-4 1.640590-1 4.769590-4 1.862087-1 3.006524-4 2.113489-1 1.909896-4 2.371374-1 1.274071-4 2.630268-1 8.913920-5 2.917427-1 6.283752-5 3.198895-1 4.637385-5 3.507519-1 3.446787-5 3.845918-1 2.581342-5 4.168694-1 2.017945-5 4.518559-1 1.587784-5 4.897788-1 1.257349-5 5.308844-1 1.002095-5 5.754399-1 8.040152-6 6.165950-1 6.695152-6 6.683439-1 5.445256-6 7.244360-1 4.459843-6 7.852356-1 3.677831-6 8.609938-1 2.970302-6 9.225714-1 2.546557-6 9.885531-1 2.197325-6 1.096478+0 1.778858-6 1.174898+0 1.553316-6 1.288250+0 1.305992-6 1.428894+0 1.082513-6 1.603245+0 8.856298-7 1.798871+0 7.299129-7 2.018366+0 6.060144-7 2.290868+0 4.978434-7 2.600160+0 4.120930-7 2.985383+0 3.378883-7 3.467369+0 2.745805-7 4.027170+0 2.247909-7 4.786301+0 1.798977-7 5.754399+0 1.429229-7 7.000000+0 1.127800-7 8.709636+0 8.727794-8 1.122018+1 6.540962-8 1.513561+1 4.694929-8 2.065380+1 3.355558-8 2.951209+1 2.299724-8 4.786301+1 1.391326-8 8.709636+1 7.539938-9 1.737801+2 3.746503-9 3.467369+2 1.869816-9 2.754229+3 2.34452-10 1.000000+5 6.45540-12 1 22000 7 0 4.790000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.442000-5 1.606900-5 1.000000+5 1.606900-5 1 22000 7 7 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.442000-5 1.471500-9 1.000000+5 1.471500-9 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.442000-5 2.834953-5 1.000000+5 1.000000+5 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 8.390000-6 7.703072+5 9.700000-6 9.619360+5 1.047129-5 1.074778+6 1.122018-5 1.179723+6 1.202264-5 1.286972+6 1.288250-5 1.394455+6 1.380384-5 1.500906+6 1.479108-5 1.605743+6 1.584893-5 1.707394+6 1.698244-5 1.803810+6 1.800000-5 1.878968+6 1.927525-5 1.957716+6 2.041738-5 2.014463+6 2.162719-5 2.059091+6 2.290868-5 2.089664+6 2.426610-5 2.105640+6 2.570396-5 2.105098+6 2.691535-5 2.092418+6 2.851018-5 2.061171+6 3.019952-5 2.013940+6 3.198895-5 1.952813+6 3.400000-5 1.875344+6 3.589219-5 1.797774+6 3.845918-5 1.690860+6 4.120975-5 1.578915+6 4.415704-5 1.464647+6 4.786301-5 1.331939+6 5.150000-5 1.213152+6 5.559043-5 1.091958+6 5.900000-5 1.000000+6 6.309573-5 8.989572+5 6.683439-5 8.155881+5 7.079458-5 7.354381+5 7.585776-5 6.449570+5 8.128305-5 5.614806+5 8.810489-5 4.741915+5 9.660509-5 3.877528+5 1.047129-4 3.233873+5 1.150000-4 2.601016+5 1.260000-4 2.086432+5 1.364583-4 1.709104+5 1.479108-4 1.388605+5 1.640590-4 1.054826+5 1.819701-4 7.957193+4 2.018366-4 5.960867+4 2.220000-4 4.539768+4 2.483133-4 3.269733+4 2.851018-4 2.162860+4 3.162278-4 1.576627+4 3.548134-4 1.101797+4 4.000000-4 7.531600+3 4.518559-4 5.077268+3 5.128614-4 3.345861+3 5.821032-4 2.189198+3 6.606934-4 1.421239+3 7.498942-4 9.156505+2 8.609938-4 5.622937+2 9.772372-4 3.570631+2 1.109175-3 2.250968+2 1.258925-3 1.408275+2 1.412538-3 9.131517+1 1.584893-3 5.880631+1 1.778279-3 3.761024+1 2.000000-3 2.366514+1 2.264644-3 1.436476+1 2.570396-3 8.571005+0 2.951209-3 4.841206+0 3.427678-3 2.587106+0 4.027170-3 1.306759+0 4.786301-3 6.236127-1 5.956621-3 2.430590-1 6.918310-3 1.266804-1 7.943282-3 6.893352-2 9.225714-3 3.531032-2 1.096478-2 1.618016-2 1.318257-2 6.980976-3 1.621810-2 2.689232-3 2.162719-2 7.078024-4 3.198895-2 1.141841-4 5.495409-2 9.126384-6 6.760830-2 3.489777-6 8.128305-2 1.495480-6 9.440609-2 7.560452-7 1.071519-1 4.272217-7 1.216186-1 2.430504-7 1.380384-1 1.392768-7 1.566751-1 8.042406-8 1.757924-1 4.917022-8 1.949845-1 3.179282-8 2.137962-1 2.171858-8 2.371374-1 1.424874-8 2.630268-1 9.416974-9 2.917427-1 6.269547-9 3.273407-1 4.016528-9 3.589219-1 2.833823-9 3.890451-1 2.102573-9 4.120975-1 1.707723-9 4.518559-1 1.234382-9 5.069907-1 8.30336-10 5.495409-1 6.31323-10 5.956621-1 4.83414-10 6.382635-1 3.88084-10 6.839117-1 3.13712-10 8.035261-1 1.93834-10 8.511380-1 1.64107-10 9.015711-1 1.39910-10 9.440609-1 1.23908-10 9.885531-1 1.10443-10 1.035142+0 9.91555-11 1.083927+0 8.96549-11 1.135011+0 8.15692-11 1.202264+0 7.30174-11 1.303167+0 6.31360-11 1.428894+0 5.39380-11 1.778279+0 3.72936-11 1.972423+0 3.14804-11 2.213095+0 2.62827-11 2.511886+0 2.17126-11 2.884032+0 1.77687-11 3.349654+0 1.44142-11 3.890451+0 1.17811-11 4.570882+0 9.55271-12 5.559043+0 7.46826-12 6.683439+0 5.96822-12 8.317638+0 4.61024-12 1.059254+1 3.49487-12 1.412538+1 2.53607-12 1.905461+1 1.83173-12 2.754229+1 1.23814-12 4.518559+1 7.39342-13 8.128305+1 4.05061-13 1.621810+2 2.01148-13 3.235937+2 1.00353-13 2.570396+3 1.25800-14 1.000000+5 3.23250-16 1 22000 7 0 4.790000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 8.390000-6 8.390000-6 1.000000+5 8.390000-6 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 8.390000-6 0.0 1.000000+5 1.000000+5 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 8.340000-6 1.168708+6 9.500000-6 1.428012+6 1.023293-5 1.591007+6 1.100000-5 1.755696+6 1.180000-5 1.918116+6 1.273503-5 2.095698+6 1.364583-5 2.255645+6 1.462177-5 2.412727+6 1.570000-5 2.569152+6 1.690000-5 2.722164+6 1.819701-5 2.862678+6 1.927525-5 2.959265+6 2.041738-5 3.041026+6 2.162719-5 3.105695+6 2.290868-5 3.150465+6 2.426610-5 3.171640+6 2.540973-5 3.171010+6 2.660725-5 3.153615+6 2.818383-5 3.109142+6 2.985383-5 3.041374+6 3.162278-5 2.951797+6 3.350000-5 2.843268+6 3.570000-5 2.707776+6 3.801894-5 2.562021+6 4.073803-5 2.393385+6 4.415704-5 2.193298+6 4.731513-5 2.021766+6 5.128614-5 1.824930+6 5.500000-5 1.658196+6 5.900000-5 1.494708+6 6.309573-5 1.343695+6 6.683439-5 1.218263+6 7.161434-5 1.075292+6 7.585776-5 9.628932+5 8.222426-5 8.185569+5 8.912509-5 6.901148+5 9.660509-5 5.785337+5 1.080000-4 4.492200+5 1.190000-4 3.573480+5 1.288250-4 2.943070+5 1.396368-4 2.401340+5 1.531087-4 1.888738+5 1.720000-4 1.382124+5 1.905461-4 1.042556+5 2.113489-4 7.780010+4 2.344229-4 5.760662+4 2.660725-4 3.958828+4 3.000000-4 2.754024+4 3.388442-4 1.890125+4 3.801894-4 1.314583+4 4.315191-4 8.748593+3 4.897788-4 5.777383+3 5.559043-4 3.788401+3 6.237348-4 2.564168+3 7.079458-4 1.656870+3 8.035261-4 1.062731+3 9.120108-4 6.767425+2 1.035142-3 4.280759+2 1.174898-3 2.687547+2 1.333521-3 1.674192+2 1.500000-3 1.070637+2 1.698244-3 6.628522+1 1.905461-3 4.218657+1 2.089296-3 2.922627+1 2.371374-3 1.750566+1 2.691535-3 1.040647+1 3.126079-3 5.580589+0 3.630781-3 2.969975+0 4.265795-3 1.493651+0 5.069907-3 7.094315-1 6.531306-3 2.355064-1 7.498942-3 1.283060-1 8.413951-3 7.686764-2 9.772372-3 3.915775-2 1.161449-2 1.783749-2 1.396368-2 7.648462-3 1.717908-2 2.925964-3 2.317395-2 7.227747-4 3.349654-2 1.280601-4 5.688529-2 1.055075-5 6.918310-2 4.220947-6 8.128305-2 1.998153-6 9.440609-2 1.004829-6 1.109175-1 4.829402-7 1.258925-1 2.735104-7 1.412538-1 1.643226-7 1.548817-1 1.100156-7 1.717908-1 7.059586-8 1.905461-1 4.563899-8 2.137962-1 2.832608-8 2.344229-1 1.947669-8 2.540973-1 1.412947-8 2.754229-1 1.032578-8 2.985383-1 7.606313-9 3.235937-1 5.649898-9 3.507519-1 4.228777-9 3.801894-1 3.187020-9 4.315191-1 2.060633-9 4.623810-1 1.635596-9 4.897788-1 1.357329-9 5.069907-1 1.218360-9 5.432503-1 9.90511-10 5.821032-1 8.10999-10 6.606935-1 5.65953-10 7.161434-1 4.53154-10 7.762471-1 3.65571-10 8.413951-1 2.97244-10 8.912509-1 2.57965-10 9.440609-1 2.25286-10 1.000000+0 1.98140-10 1.071519+0 1.71278-10 1.135011+0 1.52468-10 1.216186+0 1.33584-10 1.333521+0 1.12839-10 1.479108+0 9.40308-11 1.698244+0 7.42180-11 1.905461+0 6.13753-11 2.137962+0 5.11328-11 2.426610+0 4.21550-11 2.754229+0 3.50053-11 3.198895+0 2.83289-11 3.715352+0 2.31019-11 4.365158+0 1.86926-11 5.248075+0 1.47961-11 6.309573+0 1.17977-11 7.762471+0 9.21785-12 9.660509+0 7.15688-12 1.230269+1 5.45060-12 1.640590+1 3.97133-12 2.264644+1 2.80932-12 3.162278+1 1.97602-12 4.954502+1 1.24012-12 9.015711+1 6.72320-13 1.798871+2 3.34160-13 7.161434+2 8.34220-14 1.135011+4 5.25389-15 1.000000+5 5.96190-16 1 22000 7 0 4.790000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 8.340000-6 8.340000-6 1.000000+5 8.340000-6 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 8.340000-6 0.0 1.000000+5 1.000000+5 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 6.280000-6 8.654560+5 6.320000-6 8.281980+5 6.480000-6 6.762920+5 6.606934-6 5.743961+5 6.700000-6 5.085560+5 6.850000-6 4.161260+5 6.950000-6 3.629200+5 7.079458-6 3.026770+5 7.170000-6 2.657800+5 7.270000-6 2.293740+5 7.380000-6 1.940880+5 7.460000-6 1.712850+5 7.550000-6 1.482310+5 7.620000-6 1.320362+5 7.700000-6 1.152432+5 7.770000-6 1.019322+5 7.852356-6 8.778689+4 7.940000-6 7.438960+4 8.000000-6 6.612740+4 8.070000-6 5.735320+4 8.130000-6 5.052460+4 8.200000-6 4.331100+4 8.255000-6 3.817500+4 8.317638-6 3.285953+4 8.365000-6 2.919600+4 8.420000-6 2.530380+4 8.460000-6 2.270540+4 8.511380-6 1.963985+4 8.560000-6 1.700682+4 8.600000-6 1.502642+4 8.635000-6 1.342462+4 8.680000-6 1.153806+4 8.720000-6 1.001682+4 8.755000-6 8.801200+3 8.790000-6 7.688660+3 8.820000-6 6.814500+3 8.850000-6 6.010720+3 8.880000-6 5.275460+3 8.912509-6 4.552994+3 8.940000-6 4.000580+3 8.970000-6 3.457000+3 9.000000-6 2.973000+3 9.035000-6 2.481220+3 9.100000-6 1.766154+3 9.128000-6 1.533752+3 9.150000-6 1.381704+3 9.165000-6 1.293068+3 9.177000-6 1.230784+3 9.193000-6 1.159460+3 9.205000-6 1.114626+3 9.220000-6 1.068838+3 9.230000-6 1.044558+3 9.240000-6 1.025212+3 9.250000-6 1.010732+3 9.260000-6 1.001066+3 9.270000-6 9.961600+2 9.283000-6 9.968020+2 9.295000-6 1.004346+3 9.306000-6 1.017000+3 9.320000-6 1.041036+3 9.335000-6 1.076430+3 9.350000-6 1.121620+3 9.365000-6 1.176436+3 9.380000-6 1.240710+3 9.400000-6 1.340748+3 9.420000-6 1.456986+3 9.450000-6 1.660738+3 9.520000-6 2.266720+3 9.560000-6 2.690660+3 9.585000-6 2.982740+3 9.620000-6 3.425040+3 9.650000-6 3.834360+3 9.685000-6 4.345540+3 9.715000-6 4.811060+3 9.750000-6 5.385380+3 9.790000-6 6.080720+3 9.830000-6 6.815240+3 9.870000-6 7.587500+3 9.910000-6 8.394920+3 9.960000-6 9.451600+3 1.000000-5 1.033238+4 1.005000-5 1.147442+4 1.010000-5 1.265978+4 1.015000-5 1.388486+4 1.021500-5 1.553274+4 1.027000-5 1.697152+4 1.033000-5 1.858332+4 1.039000-5 2.023500+4 1.047129-5 2.252939+4 1.055000-5 2.480540+4 1.062000-5 2.686800+4 1.071519-5 2.972206+4 1.081000-5 3.261000+4 1.092000-5 3.600440+4 1.102000-5 3.911920+4 1.110000-5 4.162400+4 1.123000-5 4.570640+4 1.135011-5 4.947879+4 1.150000-5 5.416920+4 1.165000-5 5.882500+4 1.180000-5 6.342640+4 1.195000-5 6.795960+4 1.215000-5 7.387860+4 1.230269-5 7.828918+4 1.250000-5 8.383700+4 1.273503-5 9.020713+4 1.300000-5 9.706260+4 1.330000-5 1.043940+5 1.357000-5 1.105972+5 1.390000-5 1.176732+5 1.420000-5 1.236334+5 1.460000-5 1.309058+5 1.500000-5 1.374482+5 1.550000-5 1.446758+5 1.603245-5 1.513165+5 1.659587-5 1.572814+5 1.717908-5 1.624340+5 1.778279-5 1.668013+5 1.850000-5 1.708878+5 1.927525-5 1.741626+5 2.018366-5 1.767490+5 2.113489-5 1.782979+5 2.238721-5 1.789355+5 2.371374-5 1.782955+5 2.511886-5 1.765674+5 2.691535-5 1.733228+5 2.900000-5 1.686188+5 3.126079-5 1.628429+5 3.400000-5 1.554300+5 3.672823-5 1.479213+5 4.000000-5 1.390836+5 4.365158-5 1.295868+5 4.731513-5 1.205758+5 5.150000-5 1.110006+5 5.623413-5 1.011552+5 6.165950-5 9.108252+4 6.839116-5 8.030038+4 7.673615-5 6.926731+4 8.912509-5 5.663668+4 1.059254-4 4.455714+4 1.303167-4 3.316252+4 1.972423-4 1.818956+4 2.213095-4 1.529618+4 2.511886-4 1.254413+4 2.884032-4 1.002337+4 3.349654-4 7.796289+3 4.570882-4 4.564423+3 5.188000-4 3.650816+3 6.095369-4 2.724644+3 7.943282-4 1.664757+3 9.225714-4 1.252246+3 1.122018-3 8.541774+2 1.348963-3 5.915818+2 1.603245-3 4.161998+2 1.883649-3 2.976860+2 2.213095-3 2.113497+2 2.600160-3 1.488892+2 3.090295-3 1.014344+2 3.589219-3 7.212962+1 4.168694-3 5.090639+1 4.841724-3 3.566691+1 5.688529-3 2.412878+1 6.683439-3 1.619335+1 7.852356-3 1.078253+1 9.225714-3 7.124639+0 1.083927-2 4.671148+0 1.273503-2 3.039063+0 1.500000-2 1.949243+0 1.778279-2 1.218902+0 2.113489-2 7.511299-1 2.511886-2 4.594708-1 3.019952-2 2.699151-1 3.630781-2 1.573465-1 4.415704-2 8.802715-2 5.370318-2 4.889781-2 6.839116-2 2.345091-2 9.332543-2 9.035405-3 1.584893-1 1.759473-3 1.972423-1 9.007109-4 2.344229-1 5.335359-4 2.722701-1 3.412500-4 3.126079-1 2.275665-4 3.507519-1 1.634082-4 3.935501-1 1.181748-4 4.365158-1 8.889058-5 4.841724-1 6.735090-5 5.308844-1 5.298406-5 5.821032-1 4.196241-5 6.382635-1 3.347177-5 6.998420-1 2.689616-5 7.673615-1 2.177388-5 8.413951-1 1.776171-5 9.225714-1 1.460156-5 1.000000+0 1.238100-5 1.148154+0 9.415369-6 1.273503+0 7.724276-6 1.412538+0 6.384123-6 1.548817+0 5.423196-6 1.717908+0 4.545598-6 1.927525+0 3.764009-6 2.162719+0 3.138558-6 2.454709+0 2.589312-6 2.818383+0 2.116225-6 3.273407+0 1.714634-6 3.801894+0 1.399823-6 4.466836+0 1.133882-6 5.370318+0 8.983856-7 6.456542+0 7.169705-7 8.000000+0 5.560100-7 1.000000+1 4.299600-7 1.273503+1 3.277675-7 1.678804+1 2.420338-7 2.371374+1 1.671363-7 3.349654+1 1.162770-7 5.248075+1 7.303133-8 9.885531+1 3.825754-8 1.972423+2 1.902838-8 7.852356+2 4.753180-9 2.483133+4 1.50063-10 1.000000+5 3.72540-11 1 22000 7 0 4.790000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 6.280000-6 6.280000-6 1.000000+5 6.280000-6 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 6.280000-6 0.0 1.000000+5 1.000000+5 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.056200-8 1.028750+0 2.056200-7 1.034000+0 1.139380-6 1.035300+0 1.546550-6 1.036640+0 2.056200-6 1.038200+0 2.774910-6 1.039700+0 3.605160-6 1.041500+0 4.796630-6 1.043800+0 6.657880-6 1.046400+0 9.263200-6 1.048300+0 1.153290-5 1.051200+0 1.564420-5 1.054080+0 2.056200-5 1.057700+0 2.802730-5 1.061100+0 3.645630-5 1.065100+0 4.826390-5 1.070400+0 6.733280-5 1.076200+0 9.305340-5 1.080600+0 1.162080-4 1.087100+0 1.565720-4 1.093710+0 2.056200-4 1.102600+0 2.850980-4 1.110700+0 3.718380-4 1.120600+0 4.974340-4 1.133300+0 6.916940-4 1.147500+0 9.550690-4 1.158200+0 1.186920-3 1.174100+0 1.586240-3 1.190110+0 2.056200-3 1.205100+0 2.558800-3 1.227500+0 3.423880-3 1.250000+0 4.427000-3 1.280300+0 5.979750-3 1.307700+0 7.572650-3 1.343000+0 9.872080-3 1.382200+0 1.272720-2 1.433800+0 1.693040-2 1.500000+0 2.302000-2 1.562500+0 2.946860-2 1.617200+0 3.564220-2 1.712900+0 4.752500-2 1.784700+0 5.723310-2 1.892300+0 7.281850-2 2.000000+0 8.934000-2 2.044000+0 9.626000-2 2.215800+0 1.237520-1 2.359600+0 1.470130-1 2.588300+0 1.839140-1 2.862800+0 2.276080-1 3.000000+0 2.492000-1 3.437500+0 3.168500-1 4.000000+0 3.998000-1 4.750000+0 5.012300-1 5.000000+0 5.331000-1 6.000000+0 6.522000-1 7.000000+0 7.580000-1 8.000000+0 8.532000-1 9.000000+0 9.394000-1 1.000000+1 1.017000+0 1.100000+1 1.088000+0 1.200000+1 1.153000+0 1.300000+1 1.214000+0 1.400000+1 1.269000+0 1.500000+1 1.322000+0 1.600000+1 1.371000+0 1.800000+1 1.460000+0 2.000000+1 1.541000+0 2.200000+1 1.613000+0 2.400000+1 1.679000+0 2.600000+1 1.739000+0 2.800000+1 1.795000+0 3.000000+1 1.846000+0 4.000000+1 2.056000+0 5.000000+1 2.212000+0 6.000000+1 2.334000+0 8.000000+1 2.517000+0 1.000000+2 2.648000+0 1.500000+2 2.860000+0 2.000000+2 2.989000+0 3.000000+2 3.141000+0 4.000000+2 3.230000+0 5.000000+2 3.289000+0 6.000000+2 3.332000+0 8.000000+2 3.389000+0 1.000000+3 3.426000+0 1.500000+3 3.480000+0 2.000000+3 3.509000+0 3.000000+3 3.541000+0 4.000000+3 3.558000+0 5.000000+3 3.569000+0 6.000000+3 3.577000+0 8.000000+3 3.587000+0 1.000000+4 3.593000+0 1.500000+4 3.602000+0 2.000000+4 3.607000+0 3.000000+4 3.611000+0 4.000000+4 3.614000+0 5.000000+4 3.616000+0 6.000000+4 3.617000+0 8.000000+4 3.618000+0 1.000000+5 3.619000+0 1 22000 7 8 4.790000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 2.209060-7 2.119500+0 1.239820-6 2.127900+0 1.681430-6 2.136250+0 2.209060-6 2.147000+0 3.028780-6 2.156900+0 3.934020-6 2.169000+0 5.250190-6 2.184500+0 7.297940-6 2.201800+0 1.009690-5 2.214800+0 1.258000-5 2.234200+0 1.692230-5 2.253680+0 2.209060-5 2.281500+0 3.094180-5 2.307000+0 4.064200-5 2.338200+0 5.464680-5 2.377400+0 7.567930-5 2.410200+0 9.625150-5 2.446800+0 1.224370-4 2.485900+0 1.541550-4 2.532900+0 1.972850-4 2.556430+0 2.209060-4 2.611900+0 2.816780-4 2.660400+0 3.405310-4 2.745300+0 4.557730-4 2.809000+0 5.519640-4 2.904500+0 7.110550-4 3.000000+0 8.876000-4 3.125000+0 1.144600-3 3.234400+0 1.392820-3 3.425800+0 1.875910-3 3.569300+0 2.275010-3 3.784700+0 2.925060-3 4.000000+0 3.624000-3 4.250000+0 4.478580-3 4.625000+0 5.822070-3 5.000000+0 7.220000-3 5.500000+0 9.141660-3 6.000000+0 1.109000-2 6.750000+0 1.398650-2 7.000000+0 1.494000-2 8.000000+0 1.868000-2 9.000000+0 2.227000-2 1.000000+1 2.568000-2 1.100000+1 2.891000-2 1.200000+1 3.196000-2 1.300000+1 3.484000-2 1.400000+1 3.759000-2 1.500000+1 4.020000-2 1.600000+1 4.268000-2 1.800000+1 4.728000-2 2.000000+1 5.148000-2 2.200000+1 5.534000-2 2.400000+1 5.890000-2 2.600000+1 6.219000-2 2.800000+1 6.526000-2 3.000000+1 6.812000-2 4.000000+1 8.005000-2 5.000000+1 8.923000-2 6.000000+1 9.659000-2 8.000000+1 1.078000-1 1.000000+2 1.162000-1 1.500000+2 1.302000-1 2.000000+2 1.392000-1 3.000000+2 1.505000-1 4.000000+2 1.574000-1 5.000000+2 1.622000-1 6.000000+2 1.658000-1 8.000000+2 1.708000-1 1.000000+3 1.742000-1 1.500000+3 1.792000-1 2.000000+3 1.822000-1 3.000000+3 1.854000-1 4.000000+3 1.873000-1 5.000000+3 1.885000-1 6.000000+3 1.893000-1 8.000000+3 1.904000-1 1.000000+4 1.911000-1 1.500000+4 1.921000-1 2.000000+4 1.927000-1 3.000000+4 1.932000-1 4.000000+4 1.936000-1 5.000000+4 1.938000-1 6.000000+4 1.939000-1 8.000000+4 1.941000-1 1.000000+5 1.942000-1 1 22000 7 8 4.790000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 22000 7 9 4.790000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 2.200000+1 1.000000+5 2.200000+1 5.000000+5 2.198600+1 8.750000+5 2.196650+1 1.000000+6 2.195900+1 1.500000+6 2.191800+1 2.000000+6 2.185500+1 2.375000+6 2.179640+1 2.500000+6 2.177500+1 2.875000+6 2.170530+1 3.000000+6 2.168000+1 3.437500+6 2.158140+1 3.812500+6 2.149130+1 4.000000+6 2.144600+1 4.500000+6 2.131260+1 5.000000+6 2.117100+1 5.500000+6 2.101430+1 5.875000+6 2.089120+1 6.000000+6 2.085030+1 6.437500+6 2.069920+1 7.000000+6 2.050200+1 7.687500+6 2.025300+1 8.437500+6 1.997680+1 8.500000+6 1.995350+1 9.000000+6 1.976900+1 9.750000+6 1.948700+1 1.000000+7 1.939500+1 1.125000+7 1.893490+1 1.187500+7 1.870800+1 1.250000+7 1.848500+1 1.437500+7 1.782920+1 1.500000+7 1.761800+1 1.750000+7 1.680600+1 2.000000+7 1.603500+1 2.250000+7 1.528350+1 2.375000+7 1.491630+1 2.500000+7 1.455500+1 2.750000+7 1.385030+1 2.875000+7 1.350760+1 3.000000+7 1.317400+1 3.250000+7 1.252860+1 3.437500+7 1.206950+1 3.625000+7 1.163310+1 4.000000+7 1.082900+1 4.500000+7 9.896440+0 5.000000+7 9.122400+0 5.500000+7 8.490830+0 5.750000+7 8.221720+0 6.000000+7 7.978600+0 6.750000+7 7.382750+0 7.000000+7 7.217300+0 8.000000+7 6.657100+0 9.000000+7 6.178500+0 9.750000+7 5.837160+0 1.000000+8 5.725400+0 1.062500+8 5.446980+0 1.109400+8 5.239910+0 1.179700+8 4.931530+0 1.250000+8 4.626700+0 1.312500+8 4.359700+0 1.394500+8 4.023860+0 1.437500+8 3.855680+0 1.500000+8 3.623700+0 1.625000+8 3.203090+0 1.750000+8 2.840270+0 1.789100+8 2.737600+0 2.000000+8 2.265100+0 2.171900+8 1.968900+0 2.289100+8 1.812730+0 2.375000+8 1.720960+0 2.381300+8 1.714930+0 2.460400+8 1.647440+0 2.500000+8 1.619000+0 3.000000+8 1.389300+0 3.500000+8 1.159600+0 3.625000+8 1.123750+0 4.000000+8 1.042400+0 4.179700+8 1.001340+0 4.330100+8 9.650800-1 4.569300+8 9.066340-1 4.856400+8 8.394270-1 5.000000+8 8.080000-1 5.343800+8 7.385460-1 5.578100+8 6.939030-1 5.789100+8 6.543880-1 6.000000+8 6.152000-1 6.250000+8 5.693780-1 6.718800+8 4.948620-1 6.906300+8 4.708770-1 7.000000+8 4.603000-1 7.250000+8 4.361450-1 7.625000+8 4.043150-1 7.812500+8 3.882630-1 8.000000+8 3.712000-1 8.183600+8 3.532470-1 8.352100+8 3.361290-1 8.558000+8 3.150260-1 8.822400+8 2.885030-1 9.116800+8 2.606930-1 1.000000+9 1.931000-1 1.060500+9 1.604270-1 1.141100+9 1.284390-1 1.365400+9 7.547690-2 1.455100+9 6.216820-2 1.500000+9 5.652600-2 1.589800+9 4.684400-2 1.665000+9 4.015860-2 1.784700+9 3.166130-2 1.928200+9 2.413850-2 2.000000+9 2.120100-2 2.187500+9 1.538430-2 2.539100+9 8.966720-3 2.846700+9 5.897610-3 3.385000+9 3.106280-3 4.192500+9 1.396020-3 5.000000+9 7.199600-4 8.000000+9 1.228500-4 9.500000+9 6.463840-5 1.00000+10 5.341500-5 1.20500+10 2.685350-5 1.41820+10 1.482570-5 1.71170+10 7.523100-6 2.01490+10 4.204190-6 2.26440+10 2.781420-6 2.74790+10 1.410960-6 3.20120+10 8.301570-7 3.62610+10 5.401920-7 4.42280+10 2.739200-7 5.12000+10 1.667810-7 6.34000+10 8.132160-8 7.94120+10 3.843950-8 1.00000+11 1.798000-8 1.17140+11 1.071790-8 1.55940+11 4.237090-9 2.04410+11 1.777030-9 2.51720+11 9.15808-10 3.60730+11 2.94426-10 4.99630+11 1.06579-10 8.44540+11 2.11502-11 1.81520+12 2.08195-12 4.94530+12 1.05606-13 2.22380+13 1.29780-15 1.00000+14 1.62970-17 5.62340+14 1.01791-19 7.49890+15 4.58535-23 1.00000+17 1.94890-26 1 22000 7 0 4.790000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 6.30000-12 1.000000+2 6.30000-10 1.000000+3 6.300000-8 1.000000+4 6.300000-6 1.000000+5 6.300000-4 5.000000+5 1.575000-2 8.750000+5 4.823438-2 1.000000+6 6.300000-2 1.500000+6 1.391000-1 2.000000+6 2.432000-1 2.375000+6 3.376490-1 2.500000+6 3.720000-1 2.875000+6 4.828960-1 3.000000+6 5.223000-1 3.437500+6 6.683910-1 3.812500+6 8.024210-1 4.000000+6 8.721000-1 4.500000+6 1.064210+0 5.000000+6 1.263000+0 5.500000+6 1.464600+0 5.875000+6 1.616190+0 6.000000+6 1.666540+0 6.437500+6 1.841610+0 7.000000+6 2.062600+0 7.687500+6 2.323390+0 8.437500+6 2.594810+0 8.500000+6 2.616760+0 9.000000+6 2.789000+0 9.750000+6 3.034870+0 1.000000+7 3.114000+0 1.125000+7 3.490760+0 1.187500+7 3.670310+0 1.250000+7 3.845600+0 1.437500+7 4.355350+0 1.500000+7 4.523000+0 1.750000+7 5.192700+0 2.000000+7 5.860000+0 2.250000+7 6.513340+0 2.375000+7 6.831910+0 2.500000+7 7.143600+0 2.750000+7 7.743140+0 2.875000+7 8.031010+0 3.000000+7 8.312000+0 3.250000+7 8.850280+0 3.437500+7 9.235990+0 3.625000+7 9.606240+0 4.000000+7 1.030400+1 4.500000+7 1.114960+1 5.000000+7 1.190100+1 5.500000+7 1.256150+1 5.750000+7 1.285940+1 6.000000+7 1.314000+1 6.750000+7 1.387520+1 7.000000+7 1.409300+1 8.000000+7 1.485600+1 9.000000+7 1.550900+1 9.750000+7 1.595350+1 1.000000+8 1.609500+1 1.062500+8 1.643530+1 1.109400+8 1.667910+1 1.179700+8 1.702770+1 1.250000+8 1.735300+1 1.312500+8 1.762400+1 1.394500+8 1.795190+1 1.437500+8 1.811370+1 1.500000+8 1.833400+1 1.625000+8 1.872340+1 1.750000+8 1.905670+1 1.789100+8 1.915140+1 2.000000+8 1.958500+1 2.171900+8 1.986100+1 2.289100+8 2.001790+1 2.375000+8 2.012300+1 2.381300+8 2.013010+1 2.460400+8 2.021660+1 2.500000+8 2.025900+1 3.000000+8 2.068200+1 3.500000+8 2.099400+1 3.625000+8 2.105900+1 4.000000+8 2.123900+1 4.179700+8 2.131310+1 4.330100+8 2.137020+1 4.569300+8 2.145370+1 4.856400+8 2.153980+1 5.000000+8 2.158000+1 5.343800+8 2.165860+1 5.578100+8 2.170470+1 5.789100+8 2.174190+1 6.000000+8 2.177400+1 6.250000+8 2.180490+1 6.718800+8 2.185440+1 6.906300+8 2.187090+1 7.000000+8 2.187900+1 7.250000+8 2.189460+1 7.625000+8 2.191690+1 7.812500+8 2.192690+1 8.000000+8 2.193500+1 8.183600+8 2.194070+1 8.352100+8 2.194580+1 8.558000+8 2.195180+1 8.822400+8 2.195950+1 9.116800+8 2.196630+1 1.000000+9 2.198000+1 1.060500+9 2.198510+1 1.141100+9 2.199060+1 1.365400+9 2.199550+1 1.455100+9 2.199720+1 1.500000+9 2.199800+1 1.589800+9 2.199840+1 1.665000+9 2.199870+1 1.784700+9 2.199920+1 1.928200+9 2.199970+1 2.000000+9 2.200000+1 2.187500+9 2.200000+1 2.539100+9 2.200000+1 2.846700+9 2.200000+1 3.385000+9 2.200000+1 4.192500+9 2.200000+1 5.000000+9 2.200000+1 8.000000+9 2.200000+1 9.500000+9 2.200000+1 1.00000+10 2.200000+1 1.20500+10 2.200000+1 1.41820+10 2.200000+1 1.71170+10 2.200000+1 2.01490+10 2.200000+1 2.26440+10 2.200000+1 2.74790+10 2.200000+1 3.20120+10 2.200000+1 3.62610+10 2.200000+1 4.42280+10 2.200000+1 5.12000+10 2.200000+1 6.34000+10 2.200000+1 7.94120+10 2.200000+1 1.00000+11 2.200000+1 1.17140+11 2.200000+1 1.55940+11 2.200000+1 2.04410+11 2.200000+1 2.51720+11 2.200000+1 3.60730+11 2.200000+1 4.99630+11 2.200000+1 8.44540+11 2.200000+1 1.81520+12 2.200000+1 4.94530+12 2.200000+1 2.22380+13 2.200000+1 1.00000+14 2.200000+1 5.62340+14 2.200000+1 7.49890+15 2.200000+1 1.00000+17 2.200000+1 1 22000 7 0 4.790000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.834619-6 0.0 2.846829-6 3.269884+0 2.848574-6 3.732244+0 2.855551-6 6.817248+0 2.857389-6 8.047539+0 2.862528-6 1.426492+1 2.869505-6 2.436699+1 2.872334-6 2.935678+1 2.879367-6 4.402866+1 2.888049-6 6.664226+1 2.902665-6 1.072585+2 2.907060-6 1.180012+2 2.914399-6 1.301689+2 2.921636-6 1.340052+2 2.928366-6 1.296317+2 2.936017-6 1.155631+2 2.945756-6 8.890110+1 2.955852-6 5.856950+1 2.962886-6 4.000843+1 2.969919-6 2.499530+1 2.974161-6 1.800264+1 2.976952-6 1.418115+1 2.983985-6 7.801168+0 2.994534-6 1.983088+0 2.998051-6 0.0 4.060672-6 0.0 4.070667-6 2.34602-15 4.080661-6 4.64213-15 4.090656-6 8.47924-15 4.100651-6 1.42972-14 4.110646-6 2.22534-14 4.120641-6 3.19740-14 4.130636-6 4.24084-14 4.140630-6 5.19231-14 4.150625-6 5.86844-14 4.160620-6 6.12264-14 4.170615-6 5.89670-14 4.180610-6 5.24244-14 4.190604-6 4.30241-14 4.210594-6 2.27945-14 4.220589-6 1.47153-14 4.230584-6 8.76928-15 4.240579-6 4.82405-15 4.250573-6 2.44971-15 4.260568-6 0.0 4.686303-6 0.0 4.692471-6 2.198891-2 4.709372-6 2.136395-1 4.715571-6 2.976230-1 4.722460-6 4.312081-1 4.728077-6 5.596516-1 4.734583-6 7.512156-1 4.739895-6 9.298217-1 4.751844-6 1.424143+0 4.778941-6 2.737236+0 4.793662-6 3.256519+0 4.798792-6 3.349824+0 4.808692-6 3.416538+0 4.820242-6 3.233783+0 4.832236-6 2.807041+0 4.849722-6 1.975951+0 4.865720-6 1.421912+0 4.873479-6 1.229581+0 4.877270-6 1.171726+0 4.885069-6 1.127073+0 4.888819-6 1.175461+0 4.897945-6 1.385070+0 4.908975-6 1.808554+0 4.922154-6 2.566846+0 4.952819-6 4.849079+0 4.964324-6 5.491879+0 4.970852-6 5.752525+0 4.981466-6 5.953280+0 4.994898-6 5.757567+0 5.006263-6 5.288265+0 5.022418-6 4.253825+0 5.046839-6 2.518739+0 5.052851-6 2.114535+0 5.064873-6 1.439692+0 5.076896-6 9.123267-1 5.087415-6 5.192937-1 5.088919-6 4.836319-1 5.100941-6 2.815493-1 5.112964-6 1.522467-1 5.124987-6 3.440811-2 5.136798-6 1.766454-2 5.148877-6 0.0 5.304780-6 0.0 5.319322-6 1.20151-11 5.321879-6 1.518394-3 5.348077-6 5.335648-2 5.361176-6 9.669471-2 5.374275-6 1.618447-1 5.387374-6 2.501848-1 5.424064-6 5.543971-1 5.439771-6 6.446478-1 5.452870-6 6.693190-1 5.465969-6 6.417131-1 5.479068-6 5.681151-1 5.518366-6 2.443215-1 5.531465-6 1.572257-1 5.544564-6 9.341867-2 5.557663-6 5.124898-2 5.570762-6 2.518000-2 5.581178-6 3.838402-3 5.583861-6 0.0 5.603585-6 0.0 5.611812-6 4.39390-12 5.613120-6 2.600723-4 5.640752-6 1.868373-2 5.654568-6 3.399628-2 5.668384-6 5.711758-2 5.682200-6 8.860755-2 5.722314-6 2.016598-1 5.737464-6 2.310780-1 5.751280-6 2.405304-1 5.765096-6 2.311565-1 5.782888-6 1.980098-1 5.814316-6 1.214746-1 5.820360-6 1.094281-1 5.832817-6 9.162509-2 5.846629-6 8.313463-2 5.861808-6 8.568247-2 5.888068-6 1.041892-1 5.899554-6 1.159319-1 5.913760-6 1.249563-1 5.929913-6 1.264924-1 5.944508-6 1.235236-1 5.973700-6 1.105914-1 6.003414-6 1.036912-1 6.112894-6 9.453977-2 6.207227-6 8.271422-2 6.266396-6 7.728414-2 6.683807-6 4.979245-2 6.716709-6 9.419545-2 6.733161-6 1.315101-1 6.736217-6 1.420883-1 6.749612-6 2.002396-1 6.766063-6 2.939014-1 6.785958-6 4.393915-1 6.819118-6 7.198262-1 6.835699-6 8.410314-1 6.852279-6 9.233123-1 6.868859-6 9.528733-1 6.885440-6 9.251702-1 6.906170-6 8.170756-1 6.941701-6 5.387480-1 6.963479-6 3.645479-1 6.979931-6 2.583391-1 7.001502-6 1.520836-1 7.012833-6 1.068613-1 7.018082-6 9.410998-2 7.034663-6 6.632578-2 7.067823-6 3.226826-2 7.074295-6 3.095312-2 7.296115-6 2.310717-2 7.313215-6 2.492264-2 7.332032-6 3.559910-2 7.349991-6 4.749541-2 7.367216-6 6.704446-2 7.385908-6 1.035512-1 7.405512-6 1.543314-1 7.435957-6 2.560878-1 7.462516-6 3.498149-1 7.479582-6 3.985017-1 7.497475-6 4.304305-1 7.515866-6 4.373974-1 7.535720-6 4.144828-1 7.553823-6 3.709435-1 7.605035-6 1.982891-1 7.619368-6 1.574859-1 7.637326-6 1.171915-1 7.644336-6 1.051618-1 7.659451-6 8.561582-2 7.673225-6 7.886826-2 7.680585-6 8.071987-2 7.698398-6 9.371850-2 7.719619-6 1.208191-1 7.737160-6 1.497202-1 7.772913-6 2.150348-1 7.795462-6 2.421214-1 7.815843-6 2.520420-1 7.838123-6 2.495736-1 7.908235-6 2.071243-1 7.931595-6 2.029956-1 7.983681-6 2.091610-1 8.023545-6 2.177549-1 8.198539-6 2.233145-1 8.313307-6 2.106193-1 8.402375-6 2.220478-1 8.486754-6 2.388928-1 8.609182-6 2.515769-1 9.500260-6 3.209433-1 1.100000-5 4.631167-1 1.380384-5 7.694592-1 2.102229-5 1.589114+0 2.540973-5 1.980406+0 3.029607-5 2.249944+0 3.515910-5 2.371627+0 3.521766-5 2.799081+0 3.536161-5 1.334169+1 3.539103-5 1.558690+1 3.547771-5 2.629391+1 3.556440-5 4.237002+1 3.566022-5 6.698793+1 3.592215-5 1.482651+2 3.600740-5 1.672972+2 3.610199-5 1.763843+2 3.619564-5 1.735465+2 3.637138-5 1.498469+2 3.654221-5 1.240049+2 3.683408-5 8.950712+1 3.693632-5 7.077342+1 3.695134-5 6.757823+1 3.717603-5 3.324419+1 3.726428-5 2.231034+1 3.735252-5 1.426349+1 3.744077-5 8.924543+0 3.761726-5 2.396753+0 4.126960-5 2.403777+0 4.157434-5 2.590660+0 4.177750-5 2.894319+0 4.210154-5 3.641295+0 4.231399-5 3.958268+0 4.252380-5 4.032261+0 4.316904-5 4.105882+0 4.393691-5 3.966628+0 4.623944-5 3.813200+0 5.181579-5 3.253788+0 5.650000-5 2.981463+0 6.370557-5 2.851224+0 6.417598-5 2.997055+0 6.460139-5 3.354182+0 6.493681-5 3.715315+0 6.511680-5 3.848151+0 6.527360-5 3.887055+0 6.558721-5 3.733680+0 6.619540-5 3.176800+0 6.651245-5 3.094993+0 6.757139-5 3.275880+0 1.080000-4 3.722520+0 1.340810-4 3.741298+0 1.894821-4 3.418726+0 3.067887-4 2.536665+0 4.030591-4 1.994296+0 4.459202-4 1.811228+0 4.481182-4 4.830623+0 4.492130-4 7.320482+0 4.503105-4 1.110474+1 4.514767-4 1.670342+1 4.535661-4 3.011344+1 4.549270-4 3.905767+1 4.561883-4 4.523504+1 4.573178-4 4.842335+1 4.584277-4 4.914170+1 4.598679-4 4.686036+1 4.617396-4 4.079247+1 4.664966-4 2.275848+1 4.680303-4 1.772276+1 4.696554-4 1.515766+1 4.709959-4 1.406464+1 4.721310-4 1.366349+1 4.741316-4 1.340444+1 4.782063-4 1.459934+1 4.846751-4 1.504387+1 5.433978-4 1.326612+1 5.509804-4 1.372969+1 5.575066-4 1.435956+1 6.916369-4 1.113551+1 8.301942-4 8.714155+0 9.713275-4 6.963951+0 1.118324-3 5.638128+0 1.288250-3 4.539296+0 1.457363-3 3.736642+0 1.654817-3 3.048600+0 1.850827-3 2.540292+0 2.068680-3 2.113646+0 2.334130-3 1.726847+0 2.635004-3 1.405636+0 2.970918-3 1.143687+0 3.360840-3 9.233776-1 3.784797-3 7.496848-1 4.233230-3 6.151904-1 4.782300-3 4.952105-1 4.819980-3 4.940505-1 4.841806-3 5.261876-1 4.854470-3 5.715378-1 4.867549-3 6.593834-1 4.877675-3 7.682142-1 4.889324-3 9.468065-1 4.900785-3 1.183895+0 4.916743-3 1.612203+0 4.956032-3 2.836631+0 4.975800-3 3.308590+0 4.994572-3 3.591126+0 5.027242-3 3.778042+0 5.205119-3 3.656046+0 6.065562-3 2.882003+0 6.955316-3 2.305306+0 7.865023-3 1.883199+0 8.859854-3 1.536384+0 1.003356-2 1.240079+0 1.121211-2 1.018006+0 1.254517-2 8.329686-1 1.388832-2 6.914428-1 1.550771-2 5.640995-1 1.711893-2 4.686931-1 1.906746-2 3.820371-1 2.137243-2 3.068691-1 2.374789-2 2.501583-1 2.618501-2 2.065057-1 2.883160-2 1.706989-1 3.152263-2 1.429146-1 3.481147-2 1.170483-1 3.781226-2 9.896257-2 4.143886-2 8.219270-2 4.564862-2 6.735710-2 5.084520-2 5.393182-2 5.636425-2 4.352871-2 6.203835-2 3.561771-2 6.920432-2 2.832444-2 7.638971-2 2.297768-2 8.395194-2 1.882099-2 9.175547-2 1.559568-2 1.025274-1 1.232538-2 1.125468-1 1.012046-2 1.253350-1 8.058108-3 1.366389-1 6.710349-3 1.492253-1 5.574696-3 1.647109-1 4.528161-3 1.798369-1 3.765727-3 1.972947-1 3.106327-3 2.178141-1 2.533711-3 2.379744-1 2.118323-3 2.592687-1 1.783223-3 2.847974-1 1.480710-3 3.132280-1 1.232018-3 3.447953-1 1.027108-3 3.812852-1 8.534135-4 4.241909-1 7.064676-4 4.741737-1 5.843374-4 5.278931-1 4.905196-4 5.824175-1 4.216277-4 6.645077-1 3.480030-4 7.328245-1 3.051080-4 8.420008-1 2.569654-4 9.556800-1 2.226697-4 1.120601+0 1.890830-4 1.347258+0 1.564415-4 1.619761+0 1.294349-4 1.947381+0 1.070905-4 2.341267+0 8.860336-5 2.814822+0 7.330770-5 3.384160+0 6.065254-5 4.068655+0 5.018205-5 4.891600+0 4.151909-5 5.880996+0 3.435162-5 7.070513+0 2.842148-5 8.500626+0 2.351506-5 9.760024+0 2.039955-5 1.000000+1 4.042795-5 1 22000 7 0 4.790000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-2.172935+1 1.869960-6-2.059170+1 2.254174-6-1.901997+1 2.451656-6-1.717748+1 2.557279-6-1.535159+1 2.633770-6-1.316725+1 2.679468-6-1.117700+1 2.714769-6-9.003944+0 2.735866-6-7.282557+0 2.753249-6-5.510440+0 2.767572-6-3.715709+0 2.771763-6-3.117486+0 2.779620-6-1.886696+0 2.786495-6-6.728733-1 2.792510-6 5.153183-1 2.797774-6 1.670015+0 2.802380-6 2.784326+0 2.806410-6 3.852457+0 2.813021-6 5.832816+0 2.820446-6 8.495212+0 2.826647-6 1.122684+1 2.831630-6 1.395845+1 2.834619-6 1.612653+1 2.846829-6 2.517470+1 2.854678-6 3.293039+1 2.859155-6 3.908653+1 2.864272-6 4.467971+1 2.873873-6 5.335722+1 2.880906-6 5.724526+1 2.888049-6 5.696834+1 2.892962-6 5.326699+1 2.897724-6 4.687684+1 2.903654-6 3.445418+1 2.906250-6 2.754962+1 2.911799-6 1.029049+1 2.912958-6 6.260126+0 2.913480-6 4.226093+0 2.913764-6 2.914801+0 2.913980-6 2.012759+0 2.914399-6 3.881541-1 2.915185-6-2.488729+0 2.919140-6-1.659052+1 2.920511-6-2.195340+1 2.921440-6-1.774072+1 2.923041-6-1.165605+1 2.925966-6-1.155240+0 2.926843-6 2.107586+0 2.927501-6 4.743237+0 2.927940-6 6.785904+0 2.928366-6 8.502829+0 2.929863-6 1.384931+1 2.936017-6 3.371542+1 2.938541-6 4.032760+1 2.942665-6 4.972415+1 2.947018-6 5.672230+1 2.952125-6 6.157640+1 2.955852-6 6.271347+1 2.962886-6 6.081903+1 2.969919-6 5.509036+1 2.984864-6 3.729305+1 2.997611-6 2.539412+1 3.000125-6 2.245233+1 3.004264-6 1.917916+1 3.010442-6 1.546417+1 3.018631-6 1.169199+1 3.026756-6 8.750356+0 3.034818-6 6.363916+0 3.042816-6 4.377147+0 3.050753-6 2.691474+0 3.054698-6 1.939788+0 3.062557-6 5.841765-1 3.070355-6-6.030175-1 3.078092-6-1.652327+0 3.085768-6-2.587106+0 3.093384-6-3.425581+0 3.108439-6-4.868658+0 3.130583-6-6.593804+0 3.159366-6-8.337134+0 3.200958-6-1.020462+1 3.266056-6-1.220761+1 3.371759-6-1.421805+1 3.527394-6-1.590620+1 3.784701-6-1.739436+1 4.621990-6-2.005688+1 4.695508-6-2.094073+1 4.761135-6-2.201154+1 4.795041-6-2.096634+1 4.834421-6-1.909937+1 4.861720-6-1.923558+1 4.924207-6-2.166306+1 4.949825-6-2.114456+1 4.981466-6-1.865390+1 5.012838-6-1.607896+1 5.035650-6-1.520471+1 5.064873-6-1.536916+1 5.136798-6-1.724394+1 5.235933-6-1.819533+1 5.424064-6-1.897823+1 5.518366-6-1.847373+1 5.737464-6-1.910034+1 6.716709-6-1.995517+1 6.835699-6-1.996865+1 6.951761-6-1.912555+1 7.479582-6-1.994774+1 7.644336-6-1.973355+1 1.584893-5-2.111583+1 2.320179-5-2.218256+1 2.716790-5-1.992596+1 2.952349-5-1.744733+1 3.092417-5-1.499431+1 3.177515-5-1.277547+1 3.240000-5-1.052096+1 3.286162-5-8.327009+0 3.313983-5-6.680174+0 3.338435-5-4.959727+0 3.359927-5-3.173587+0 3.369676-5-2.258806+0 3.378815-5-1.331425+0 3.387384-5-3.928049-1 3.395417-5 5.555260-1 3.402947-5 1.512194+0 3.410040-5 2.480382+0 3.422832-5 4.415964+0 3.434103-5 6.363236+0 3.444009-5 8.304220+0 3.452997-5 1.029149+1 3.467742-5 1.414857+1 3.479032-5 1.776994+1 3.491205-5 2.260713+1 3.503750-5 2.914787+1 3.512490-5 3.530025+1 3.520302-5 4.318711+1 3.526173-5 5.100682+1 3.539103-5 6.572562+1 3.557523-5 8.901691+1 3.567495-5 9.599683+1 3.574161-5 9.486686+1 3.582596-5 8.703270+1 3.589317-5 7.506682+1 3.598483-5 4.905640+1 3.601744-5 3.685390+1 3.607451-5 1.750948+1 3.608603-5 1.296248+1 3.609178-5 1.031086+1 3.610199-5 6.396004+0 3.611125-5 3.108157+0 3.611935-5 3.350483-1 3.616710-5-1.566401+1 3.618213-5-2.142883+1 3.620109-5-1.521660+1 3.622425-5-8.542347+0 3.624483-5-3.077834+0 3.628796-5 7.889651+0 3.631014-5 1.300462+1 3.634878-5 2.072972+1 3.640847-5 3.073880+1 3.647000-5 3.906694+1 3.652963-5 4.488378+1 3.682305-5 7.064803+1 3.692130-5 7.802446+1 3.709297-5 7.689686+1 3.717603-5 7.347981+1 3.726428-5 6.719582+1 3.749592-5 4.779792+1 3.761726-5 3.895150+1 3.767870-5 3.446963+1 3.778783-5 2.907077+1 3.795969-5 2.300169+1 3.815924-5 1.792275+1 3.838254-5 1.367639+1 3.857855-5 1.075565+1 3.883643-5 7.696458+0 3.898732-5 6.205716+0 3.923488-5 4.117141+0 3.933597-5 3.368124+0 3.951287-5 2.175061+0 3.964555-5 1.365298+0 3.984456-5 2.647451-1 4.006632-5-8.282299-1 4.024070-5-1.605536+0 4.055941-5-2.879717+0 4.167592-5-6.753435+0 4.191626-5-7.411322+0 4.220466-5-7.699254+0 4.252380-5-7.727600+0 4.520790-5-9.379530+0 4.905542-5-1.074589+1 5.650000-5-1.220927+1 6.370557-5-1.337052+1 6.481102-5-1.368927+1 6.569721-5-1.278408+1 6.651245-5-1.301921+1 6.781495-5-1.316345+1 9.500295-5-1.317195+1 1.700078-4-1.187056+1 2.263693-4-1.161309+1 2.875743-4-1.200794+1 3.376501-4-1.304511+1 3.732476-4-1.449840+1 4.001520-4-1.651040+1 4.173195-4-1.882001+1 4.281841-4-2.132705+1 4.366846-4-1.962788+1 4.413495-4-1.752586+1 4.438366-4-1.547129+1 4.453711-4-1.336766+1 4.459202-4-1.210255+1 4.467572-4-1.023675+1 4.479782-4-7.815432+0 4.482526-4-7.069508+0 4.490929-4-5.126653+0 4.493502-4-4.370600+0 4.503105-4-2.224256+0 4.504477-4-1.872429+0 4.514081-4-2.892061-1 4.514767-4-1.396624-1 4.516053-4 2.873499-2 4.518304-4 1.896264-1 4.521681-4 2.339844-1 4.525057-4 1.271302-1 4.526525-4 3.671215-2 4.529278-4-2.742706-1 4.531686-4-6.605723-1 4.533819-4-1.086459+0 4.535661-4-1.516904+0 4.538865-4-2.406572+0 4.541285-4-3.206040+0 4.544462-4-4.444009+0 4.547525-4-5.907034+0 4.556055-4-1.088668+1 4.559732-4-1.338422+1 4.570702-4-2.173968+1 4.577274-4-2.707421+1 4.587301-4-2.005606+1 4.598679-4-1.288333+1 4.603117-4-1.062853+1 4.612875-4-6.157853+0 4.617396-4-4.454431+0 4.621088-4-3.288574+0 4.623857-4-2.510429+0 4.628011-4-1.467390+0 4.632165-4-5.273006-1 4.634440-4-6.031707-2 4.636953-4 3.626838-1 4.638423-4 6.153579-1 4.641423-4 1.034822+0 4.645890-4 1.527522+0 4.650370-4 1.867990+0 4.655299-4 2.074970+0 4.657764-4 2.108714+0 4.660924-4 2.034543+0 4.664966-4 1.905317+0 4.668520-4 1.717690+0 4.671185-4 1.522825+0 4.675183-4 1.075811+0 4.677182-4 7.671708-1 4.678181-4 5.692136-1 4.679180-4 2.935356-1 4.680303-4 9.306208-3 4.681034-4-1.749683-1 4.682000-4-3.582994-1 4.687000-4-1.264615+0 4.700221-4-3.450133+0 4.709959-4-4.991839+0 4.721310-4-6.445965+0 4.744000-4-8.842474+0 4.758407-4-9.675205+0 4.782063-4-1.023084+1 4.826501-4-1.040269+1 5.250010-4-8.730804+0 5.399312-4-8.480539+0 5.509804-4-8.820855+0 5.562692-4-8.349790+0 5.641943-4-7.391206+0 5.791056-4-6.451937+0 6.057377-4-5.279465+0 6.343530-4-4.359651+0 6.713951-4-3.448736+0 7.056322-4-2.793726+0 7.500943-4-2.132712+0 7.901937-4-1.677154+0 8.301942-4-1.319885+0 8.743199-4-1.019421+0 9.253659-4-7.528075-1 9.605056-4-6.093843-1 1.012797-3-4.382888-1 1.039153-3-3.695546-1 1.077312-3-2.969201-1 1.118324-3-2.333709-1 1.150310-3-1.923302-1 1.183383-3-1.570932-1 1.207032-3-1.383460-1 1.244515-3-1.157189-1 1.288250-3-9.557679-2 1.333522-3-8.047372-2 1.365320-3-7.733095-2 1.436626-3-8.308542-2 1.499462-3-9.768618-2 1.559317-3-1.132511-1 1.600033-3-1.268985-1 1.775131-3-2.007578-1 2.425956-3-5.451411-1 3.222724-3-9.930930-1 3.642966-3-1.266841+0 4.040141-3-1.595493+0 4.317520-3-1.921092+0 4.491670-3-2.217775+0 4.644289-3-2.608929+0 4.732568-3-2.958980+0 4.801462-3-3.388701+0 4.845969-3-3.865198+0 4.919632-3-5.108093+0 4.941625-3-5.213027+0 4.964488-3-5.019375+0 5.035701-3-3.687420+0 5.074717-3-3.190393+0 5.118336-3-2.817555+0 5.182144-3-2.424557+0 5.268184-3-2.037239+0 5.364877-3-1.712660+0 5.501753-3-1.374552+0 5.632575-3-1.121519+0 5.814611-3-8.497455-1 5.992118-3-6.416053-1 6.166123-3-4.842413-1 6.331510-3-3.590747-1 6.510845-3-2.466644-1 6.680573-3-1.580970-1 6.842880-3-8.641547-2 7.006059-3-2.445041-2 7.082985-3 6.913890-4 7.164337-3 2.736537-2 7.346108-3 7.975311-2 7.518863-3 1.224522-1 7.676869-3 1.563519-1 7.865023-3 1.927387-1 8.075118-3 2.273462-1 8.513501-3 2.808542-1 9.097794-3 3.256092-1 9.897057-3 3.594874-1 1.088675-2 3.745709-1 1.254517-2 3.648872-1 2.065186-2 2.278337-1 2.448263-2 1.787415-1 2.792885-2 1.443914-1 3.247017-2 1.095825-1 3.672823-2 8.503508-2 4.143886-2 6.403389-2 4.564862-2 4.936245-2 4.959852-2 3.811326-2 5.356339-2 2.879195-2 5.846004-2 1.931167-2 6.203835-2 1.348518-2 6.637479-2 7.466802-3 6.920432-2 4.039849-3 7.061809-2 2.451624-3 7.208686-2 8.809392-4 7.296214-2-1.125068-5 7.353885-2-5.977992-4 7.497336-2-1.991091-3 7.785557-2-4.602716-3 8.198545-2-7.924038-3 8.804659-2-1.210588-2 9.653560-2-1.685858-2 1.056938-1-2.091290-2 1.179750-1-2.514194-2 1.366389-1-2.970830-2 1.647109-1-3.409202-2 2.103461-1-3.806408-2 2.928849-1-4.132184-2 4.897788-1-4.373497-2 1.347258+0-4.494931-2 4.068655+0-4.511384-2 1.000000+1-4.512400-2 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.307369-2 1.155224-6 6.325901-2 1.228554-6 8.417611-2 1.306538-6 1.127707-1 1.347368-6 1.309014-1 1.389473-6 1.522693-1 1.432894-6 1.775328-1 1.477672-6 2.075069-1 1.523849-6 2.432064-1 1.571469-6 2.858876-1 1.618660-6 3.349875-1 1.664377-6 3.900669-1 1.708664-6 4.516162-1 1.751568-6 5.201436-1 1.793131-6 5.961843-1 1.833395-6 6.803023-1 1.872401-6 7.730912-1 1.910187-6 8.751759-1 1.946794-6 9.872143-1 1.982256-6 1.109898+0 2.016610-6 1.243943+0 2.049890-6 1.389969+0 2.082130-6 1.548533+0 2.113363-6 1.720712+0 2.143620-6 1.907504+0 2.172931-6 2.109838+0 2.201326-6 2.328689+0 2.228834-6 2.565074+0 2.255483-6 2.820061+0 2.281298-6 3.094766+0 2.306307-6 3.390356+0 2.330534-6 3.708052+0 2.354005-6 4.049128+0 2.376741-6 4.414914+0 2.398768-6 4.806797+0 2.420106-6 5.226223+0 2.460802-6 6.153788+0 2.498994-6 7.210397+0 2.534837-6 8.410006+0 2.551923-6 9.068836+0 2.568474-6 9.771166+0 2.584509-6 1.051921+1 2.615576-6 1.218047+1 2.644701-6 1.404233+1 2.672006-6 1.612933+1 2.697605-6 1.846334+1 2.721603-6 2.106635+1 2.744102-6 2.396139+1 2.765194-6 2.717256+1 2.784968-6 3.072490+1 2.803507-6 3.464436+1 2.820886-6 3.895766+1 2.837180-6 4.369218+1 2.852455-6 4.887581+1 2.866775-6 5.453684+1 2.880201-6 6.070374+1 2.892787-6 6.740506+1 2.904586-6 7.466921+1 2.915649-6 8.252435+1 2.926019-6 9.099827+1 2.935742-6 1.001183+2 2.944857-6 1.099113+2 2.953402-6 1.204038+2 2.961413-6 1.316223+2 2.968924-6 1.435931+2 2.975965-6 1.563425+2 2.982566-6 1.698978+2 2.988754-6 1.842876+2 2.994556-6 1.995430+2 2.999995-6 2.156983+2 3.005094-6 2.327908+2 3.009874-6 2.508594+2 3.014356-6 2.699428+2 3.022759-6 3.127876+2 3.030112-6 3.602824+2 3.036546-6 4.123148+2 3.042175-6 4.684241+2 3.047101-6 5.278210+2 3.051411-6 5.894780+2 3.055182-6 6.522509+2 3.058482-6 7.149979+2 3.061369-6 7.766728+2 3.066422-6 9.019696+2 3.073054-6 1.105787+3 3.082529-6 1.492026+3 3.092958-6 2.075130+3 3.096751-6 2.333624+3 3.102439-6 2.770406+3 3.108166-6 3.269566+3 3.113817-6 3.817662+3 3.119505-6 4.418960+3 3.124423-6 4.971042+3 3.126097-6 5.164096+3 3.132074-6 5.866556+3 3.136258-6 6.361675+3 3.139724-6 6.767125+3 3.143086-6 7.150941+3 3.146861-6 7.564696+3 3.150015-6 7.891331+3 3.154069-6 8.278914+3 3.158850-6 8.678572+3 3.162197-6 8.914872+3 3.166680-6 9.167757+3 3.170180-6 9.310205+3 3.175015-6 9.422343+3 3.177415-6 9.440379+3 3.184909-6 9.334624+3 3.187001-6 9.262103+3 3.192799-6 8.968766+3 3.196441-6 8.720221+3 3.200927-6 8.354159+3 3.204289-6 8.042322+3 3.208064-6 7.660432+3 3.211217-6 7.320730+3 3.215271-6 6.863471+3 3.219097-6 6.418307+3 3.222922-6 5.967179+3 3.226747-6 5.516814+3 3.230572-6 5.073309+3 3.233279-6 4.766533+3 3.238222-6 4.227415+3 3.245873-6 3.462110+3 3.251013-6 3.003209+3 3.257348-6 2.503356+3 3.265363-6 1.974751+3 3.277841-6 1.361986+3 3.281970-6 1.207724+3 3.286084-6 1.074314+3 3.290181-6 9.592809+2 3.294262-6 8.602904+2 3.298328-6 7.751838+2 3.302377-6 7.020035+2 3.306411-6 6.390028+2 3.310429-6 5.846456+2 3.314431-6 5.375980+2 3.322404-6 4.608906+2 3.330315-6 4.018535+2 3.338164-6 3.553895+2 3.345952-6 3.179899+2 3.353679-6 2.872584+2 3.361346-6 2.615520+2 3.368952-6 2.397268+2 3.376500-6 2.209685+2 3.383988-6 2.046811+2 3.391418-6 1.904173+2 3.398789-6 1.778326+2 3.406103-6 1.666566+2 3.420617-6 1.476420+2 3.434905-6 1.321816+2 3.448969-6 1.194000+2 3.462813-6 1.086871+2 3.476441-6 9.960425+1 3.489856-6 9.182651+1 3.503061-6 8.510810+1 3.516060-6 7.925946+1 3.528856-6 7.413148+1 3.541452-6 6.960470+1 3.566250-6 6.193264+1 3.590274-6 5.575051+1 3.613547-6 5.068234+1 3.636092-6 4.646994+1 3.657933-6 4.292591+1 3.679091-6 3.991252+1 3.699588-6 3.732706+1 3.719445-6 3.508896+1 3.757917-6 3.135361+1 3.793985-6 2.842255+1 3.827798-6 2.607754+1 3.859498-6 2.416931+1 3.889217-6 2.259451+1 3.917078-6 2.127914+1 3.969319-6 1.914319+1 4.015029-6 1.755654+1 4.055025-6 1.635138+1 4.096000-6 1.526399+1 4.151266-6 1.397989+1 4.197200-6 1.304948+1 4.266100-6 1.184197+1 4.367010-6 1.037069+1 4.484380-6 9.003592+0 4.659973-6 7.391935+0 4.827333-6 6.055319+0 4.869173-6 5.704846+0 4.900552-6 5.415243+0 4.924087-6 5.168505+0 4.954977-6 4.786346+0 4.974834-6 4.507190+0 5.000839-6 4.147561+0 5.013133-6 4.011376+0 5.019280-6 3.959536+0 5.031573-6 3.901048+0 5.043867-6 3.918863+0 5.046941-6 3.937172+0 5.056161-6 4.028195+0 5.063680-6 4.143661+0 5.067269-6 4.211814+0 5.072652-6 4.329369+0 5.081787-6 4.568058+0 5.093042-6 4.918900+0 5.108410-6 5.459704+0 5.117630-6 5.791568+0 5.129924-6 6.208390+0 5.132997-6 6.304160+0 5.142218-6 6.563220+0 5.149702-6 6.736754+0 5.156847-6 6.867520+0 5.163992-6 6.962169+0 5.171545-6 7.022423+0 5.179099-6 7.042860+0 5.185246-6 7.031873+0 5.191393-6 6.998239+0 5.203687-6 6.872976+0 5.215980-6 6.688963+0 5.228274-6 6.468711+0 5.263240-6 5.804518+0 5.286751-6 5.418059+0 5.308792-6 5.121119+0 5.353200-6 4.668103+0 5.530928-6 3.369976+0 5.585171-6 2.970565+0 5.612292-6 2.756606+0 5.625852-6 2.645564+0 5.642731-6 2.504723+0 5.670509-6 2.273153+0 5.712176-6 1.956635+0 5.753842-6 1.698813+0 5.767731-6 1.618295+0 5.781620-6 1.534098+0 5.795509-6 1.442186+0 5.802453-6 1.392372+0 5.809398-6 1.339716+0 5.815484-6 1.291236+0 5.824613-6 1.214795+0 5.833743-6 1.134968+0 5.842404-6 1.057990+0 5.858009-6 9.257359-1 5.864953-6 8.749298-1 5.871898-6 8.333451-1 5.878842-6 8.048965-1 5.885787-6 7.942920-1 5.889259-6 7.973892-1 5.892731-6 8.071122-1 5.898328-6 8.389005-1 5.902526-6 8.778130-1 5.905674-6 9.166708-1 5.908036-6 9.517945-1 5.911578-6 1.014943+0 5.915120-6 1.091766+0 5.917814-6 1.160174+0 5.920509-6 1.237856+0 5.924236-6 1.361763+0 5.929029-6 1.551629+0 5.934858-6 1.833939+0 5.938345-6 2.032430+0 5.954880-6 3.325440+0 5.962297-6 4.121893+0 5.968097-6 4.849821+0 5.974560-6 5.776289+0 5.984505-6 7.450684+0 5.990030-6 8.514289+0 5.996505-6 9.882381+0 6.005238-6 1.192987+1 6.010829-6 1.335653+1 6.013064-6 1.395053+1 6.020677-6 1.606703+1 6.025632-6 1.751402+1 6.031069-6 1.915393+1 6.036932-6 2.097088+1 6.042974-6 2.288004+1 6.049738-6 2.503827+1 6.056656-6 2.723973+1 6.063700-6 2.944293+1 6.070938-6 3.163156+1 6.078119-6 3.369166+1 6.081200-6 3.453344+1 6.088160-6 3.632403+1 6.092876-6 3.743960+1 6.107861-6 4.037021+1 6.109564-6 4.063861+1 6.121484-6 4.211821+1 6.126479-6 4.252500+1 6.136015-6 4.294807+1 6.141703-6 4.298244+1 6.149833-6 4.275909+1 6.155059-6 4.245419+1 6.160286-6 4.203070+1 6.168739-6 4.111440+1 6.176890-6 3.999006+1 6.186872-6 3.834466+1 6.194138-6 3.699855+1 6.207436-6 3.430918+1 6.216256-6 3.242971+1 6.225236-6 3.049012+1 6.237606-6 2.784794+1 6.252334-6 2.485301+1 6.281656-6 1.972128+1 6.296930-6 1.756806+1 6.306094-6 1.644668+1 6.316786-6 1.528983+1 6.327479-6 1.428296+1 6.342498-6 1.309145+1 6.355177-6 1.225809+1 6.378675-6 1.103972+1 6.397580-6 1.028867+1 6.422496-6 9.511888+0 6.457675-6 8.682227+0 6.483038-6 8.208912+0 6.516217-6 7.694457+0 6.550713-6 7.251751+0 6.587897-6 6.857085+0 6.615638-6 6.610810+0 6.647023-6 6.376036+0 6.687128-6 6.132507+0 6.740720-6 5.875579+0 6.818627-6 5.570096+0 6.915282-6 5.242168+0 7.062434-6 4.824970+0 7.279946-6 4.326809+0 7.539790-6 3.823510+0 7.603585-6 3.703862+0 7.664793-6 3.585544+0 7.728851-6 3.451979+0 7.790998-6 3.300249+0 7.838242-6 3.158870+0 7.918272-6 2.889654+0 7.935537-6 2.844546+0 7.954974-6 2.810478+0 7.974410-6 2.800564+0 7.985321-6 2.807736+0 7.996231-6 2.824971+0 8.009789-6 2.860913+0 8.019957-6 2.898366+0 8.035210-6 2.970390+0 8.050463-6 3.058876+0 8.093680-6 3.357811+0 8.113170-6 3.489601+0 8.132660-6 3.602426+0 8.141050-6 3.642739+0 8.153635-6 3.692240+0 8.168629-6 3.732732+0 8.178437-6 3.748059+0 8.190655-6 3.755068+0 8.207650-6 3.744063+0 8.227109-6 3.706034+0 8.246523-6 3.647440+0 8.269089-6 3.562697+0 8.346387-6 3.247914+0 8.404777-6 3.046901+0 8.544703-6 2.647513+0 8.565735-6 2.599476+0 8.586766-6 2.559384+0 8.607798-6 2.529600+0 8.628830-6 2.512075+0 8.644604-6 2.507673+0 8.668264-6 2.515075+0 8.691925-6 2.537323+0 8.755020-6 2.630030+0 8.776052-6 2.655334+0 8.803402-6 2.672584+0 8.823006-6 2.671425+0 8.842610-6 2.658576+0 8.862076-6 2.635372+0 8.881210-6 2.604531+0 8.966408-6 2.442102+0 9.002515-6 2.391871+0 9.042568-6 2.355583+0 9.130945-6 2.304043+0 9.169085-6 2.277059+0 9.200781-6 2.250431+0 9.272785-6 2.180629+0 9.355532-6 2.091205+0 9.466929-6 1.970764+0 9.517905-6 1.931649+0 9.557253-6 1.914169+0 9.592110-6 1.908175+0 9.640879-6 1.911637+0 9.766335-6 1.940420+0 9.817324-6 1.947130+0 9.899651-6 1.947750+0 1.017999-5 1.901844+0 1.060889-5 1.793538+0 1.138244-5 1.611454+0 1.200985-5 1.496647+0 1.350394-5 1.295146+0 1.386000-5 1.267213+0 1.488856-5 1.231601+0 1.548817-5 1.244306+0 1.659587-5 1.324545+0 1.691619-5 1.361327+0 1.778279-5 1.483479+0 1.863763-5 1.640710+0 1.980000-5 1.912196+0 2.041738-5 2.081520+0 2.114750-5 2.301765+0 2.257445-5 2.795354+0 2.522830-5 3.920931+0 2.600160-5 4.312140+0 2.628499-5 4.455635+0 2.651069-5 4.552573+0 2.678141-5 4.635790+0 2.716543-5 4.736781+0 2.754229-5 4.859117+0 2.790106-5 5.005390+0 2.825186-5 5.181433+0 2.859178-5 5.388343+0 2.892116-5 5.629234+0 2.924033-5 5.906371+0 2.955204-5 6.223147+0 2.985400-5 6.579288+0 3.014653-5 6.979671+0 3.042992-5 7.427582+0 3.072000-5 7.954303+0 3.097041-5 8.471033+0 3.127800-5 9.195205+0 3.147764-5 9.726596+0 3.171943-5 1.044544+1 3.198895-5 1.135497+1 3.218059-5 1.207976+1 3.240041-5 1.300231+1 3.261337-5 1.400031+1 3.281967-5 1.507758+1 3.301952-5 1.623885+1 3.321313-5 1.748783+1 3.350000-5 1.958980+1 3.375840-5 2.178052+1 3.392892-5 2.341094+1 3.409411-5 2.515404+1 3.425413-5 2.701548+1 3.440916-5 2.899878+1 3.467369-5 3.284816+1 3.484577-5 3.571540+1 3.511458-5 4.087995+1 3.537085-5 4.674186+1 3.561111-5 5.327142+1 3.583635-5 6.052206+1 3.604752-5 6.854664+1 3.624548-5 7.739775+1 3.643108-5 8.712825+1 3.660507-5 9.779132+1 3.676819-5 1.094405+2 3.692111-5 1.221294+2 3.706448-5 1.359116+2 3.719889-5 1.508399+2 3.732489-5 1.669668+2 3.744302-5 1.843441+2 3.755377-5 2.030230+2 3.765759-5 2.230551+2 3.775493-5 2.444919+2 3.784618-5 2.673862+2 3.793173-5 2.917932+2 3.801193-5 3.177723+2 3.808712-5 3.453902+2 3.815761-5 3.747228+2 3.822370-5 4.058572+2 3.828565-5 4.388903+2 3.834374-5 4.739249+2 3.840000-5 5.123786+2 3.850029-5 5.949465+2 3.858962-5 6.886441+2 3.866779-5 7.918923+2 3.873619-5 9.035894+2 3.879604-5 1.021895+3 3.884840-5 1.144486+3 3.889423-5 1.268859+3 3.893432-5 1.392602+3 3.896940-5 1.513581+3 3.903079-5 1.757190+3 3.913727-5 2.290989+3 3.927500-5 3.228335+3 3.933849-5 3.763849+3 3.940802-5 4.426050+3 3.946834-5 5.061314+3 3.948844-5 5.284604+3 3.958516-5 6.425931+3 3.959725-5 6.574949+3 3.968188-5 7.640463+3 3.972046-5 8.130860+3 3.975728-5 8.595391+3 3.980617-5 9.198729+3 3.984859-5 9.701956+3 3.989622-5 1.023518+4 3.993601-5 1.064777+4 3.998715-5 1.112517+4 4.003606-5 1.151713+4 4.008496-5 1.183863+4 4.014662-5 1.213558+4 4.019217-5 1.227416+4 4.022123-5 1.232648+4 4.027542-5 1.235034+4 4.032244-5 1.229668+4 4.037934-5 1.214699+4 4.044187-5 1.188903+4 4.050893-5 1.152469+4 4.058461-5 1.103557+4 4.067694-5 1.037692+4 4.077561-5 9.656266+3 4.108393-5 7.651922+3 4.121970-5 6.884516+3 4.128126-5 6.541582+3 4.136759-5 6.056538+3 4.143060-5 5.697006+3 4.150439-5 5.270076+3 4.156492-5 4.917103+3 4.165125-5 4.415255+3 4.168825-5 4.202958+3 4.176225-5 3.787996+3 4.186091-5 3.264529+3 4.195958-5 2.787466+3 4.208711-5 2.253867+3 4.223697-5 1.753654+3 4.232880-5 1.511293+3 4.237364-5 1.408885+3 4.246191-5 1.234439+3 4.254743-5 1.095391+3 4.263028-5 9.840321+2 4.271053-5 8.940866+2 4.278828-5 8.206223+2 4.286360-5 7.598551+2 4.293657-5 7.089262+2 4.307794-5 6.274239+2 4.321047-5 5.662963+2 4.333472-5 5.187232+2 4.345121-5 4.806454+2 4.356042-5 4.495059+2 4.366280-5 4.236056+2 4.385476-5 3.819504+2 4.402273-5 3.513726+2 4.416970-5 3.281646+2 4.429830-5 3.100986+2 4.452335-5 2.825984+2 4.469213-5 2.647857+2 4.494532-5 2.416306+2 4.522514-5 2.199415+2 4.542100-5 2.066673+2 4.578172-5 1.852819+2 4.645531-5 1.520941+2 4.668062-5 1.429833+2 4.679495-5 1.389961+2 4.690929-5 1.355405+2 4.702362-5 1.326714+2 4.714449-5 1.302959+2 4.726675-5 1.285467+2 4.736834-5 1.275290+2 4.748131-5 1.267626+2 4.784646-5 1.255488+2 4.830311-5 1.239111+2 4.861190-5 1.223800+2 4.902714-5 1.197707+2 4.969497-5 1.147379+2 5.005875-5 1.123595+2 5.144673-5 1.051224+2 5.276010-5 9.949841+1 5.432504-5 9.396497+1 5.591135-5 8.932022+1 5.791072-5 8.440291+1 6.027500-5 7.974906+1 6.260000-5 7.608248+1 6.853106-5 6.882178+1 6.987520-5 6.692466+1 7.070000-5 6.520591+1 7.124587-5 6.397342+1 7.159660-5 6.363067+1 7.177196-5 6.375613+1 7.194732-5 6.414641+1 7.212269-5 6.482769+1 7.234101-5 6.607021+1 7.272557-5 6.899120+1 7.300782-5 7.119072+1 7.318621-5 7.234961+1 7.337512-5 7.324988+1 7.353444-5 7.370054+1 7.374104-5 7.385571+1 7.387381-5 7.372205+1 7.406994-5 7.325637+1 7.443371-5 7.188707+1 7.476098-5 7.054021+1 7.504530-5 6.952951+1 7.580415-5 6.794979+1 7.625704-5 6.768544+1 7.676151-5 6.782756+1 7.772504-5 6.866066+1 7.920452-5 6.958790+1 8.763546-5 7.155904+1 9.755698-5 7.415245+1 1.070250-4 7.716856+1 1.257301-4 8.340284+1 1.383224-4 8.704582+1 1.496236-4 8.977323+1 1.640590-4 9.269607+1 1.835600-4 9.574599+1 2.037329-4 9.768058+1 2.255077-4 9.856056+1 2.472643-4 9.832111+1 2.702797-4 9.678748+1 2.921134-4 9.437002+1 3.159629-4 9.051224+1 3.381215-4 8.569746+1 3.597015-4 7.973289+1 3.756292-4 7.440495+1 3.903066-4 6.867384+1 4.026159-4 6.315709+1 4.131400-4 5.786034+1 4.221314-4 5.285849+1 4.296601-4 4.826054+1 4.364802-4 4.374593+1 4.418698-4 3.991822+1 4.473632-4 3.578128+1 4.517300-4 3.231572+1 4.551190-4 2.951591+1 4.583091-4 2.679814+1 4.610429-4 2.441125+1 4.642145-4 2.158308+1 4.670494-4 1.901270+1 4.698130-4 1.648734+1 4.715493-4 1.490656+1 4.734567-4 1.320076+1 4.752468-4 1.167120+1 4.772577-4 1.012304+1 4.788731-4 9.099484+0 4.803187-4 8.419994+0 4.816718-4 8.031371+0 4.829438-4 7.908659+0 4.841409-4 8.018370+0 4.855436-4 8.430940+0 4.865901-4 8.944411+0 4.875721-4 9.597376+0 4.886079-4 1.048765+1 4.897710-4 1.178431+1 4.901704-4 1.231718+1 4.910573-4 1.369834+1 4.916698-4 1.484326+1 4.923499-4 1.634268+1 4.930496-4 1.819389+1 4.935854-4 1.987100+1 4.941458-4 2.191751+1 4.946712-4 2.415895+1 4.954973-4 2.845731+1 4.960585-4 3.203586+1 4.968448-4 3.816346+1 4.973954-4 4.338110+1 4.978704-4 4.860836+1 4.984556-4 5.611131+1 4.994158-4 7.142836+1 5.017767-4 1.303398+2 5.028546-4 1.702814+2 5.035789-4 2.026328+2 5.041246-4 2.301501+2 5.047974-4 2.679192+2 5.052613-4 2.964691+2 5.062085-4 3.610193+2 5.064985-4 3.823998+2 5.075848-4 4.686053+2 5.080063-4 5.043271+2 5.088182-4 5.758724+2 5.092434-4 6.143858+2 5.096494-4 6.515266+2 5.102100-4 7.029898+2 5.107537-4 7.525366+2 5.111699-4 7.898393+2 5.117648-4 8.415857+2 5.123197-4 8.875364+2 5.126232-4 9.114846+2 5.133131-4 9.621374+2 5.139557-4 1.003834+3 5.142794-4 1.022575+3 5.149874-4 1.057779+3 5.156308-4 1.082437+3 5.162972-4 1.100248+3 5.168113-4 1.108518+3 5.176517-4 1.111855+3 5.182294-4 1.107045+3 5.188443-4 1.095919+3 5.195990-4 1.074443+3 5.206009-4 1.034247+3 5.213376-4 9.975763+2 5.219616-4 9.627079+2 5.225436-4 9.276647+2 5.233926-4 8.732962+2 5.242880-4 8.133210+2 5.251500-4 7.545647+2 5.260353-4 6.946072+2 5.272395-4 6.158980+2 5.290000-4 5.114882+2 5.305144-4 4.353923+2 5.311250-4 4.087641+2 5.320500-4 3.729910+2 5.323753-4 3.617111+2 5.332688-4 3.341093+2 5.342690-4 3.088147+2 5.348766-4 2.961276+2 5.356000-4 2.834274+2 5.359908-4 2.775687+2 5.365000-4 2.709001+2 5.371000-4 2.643262+2 5.376768-4 2.591779+2 5.381957-4 2.554157+2 5.393000-4 2.497071+2 5.404992-4 2.462619+2 5.421465-4 2.446247+2 5.447021-4 2.456480+2 5.509519-4 2.507192+2 5.562829-4 2.529849+2 5.692495-4 2.553043+2 5.806800-4 2.564396+2 5.899011-4 2.564631+2 5.966801-4 2.555475+2 6.051616-4 2.527634+2 6.087974-4 2.519783+2 6.117483-4 2.525267+2 6.141233-4 2.541745+2 6.163302-4 2.568119+2 6.198906-4 2.630739+2 6.274239-4 2.791902+2 6.308264-4 2.852942+2 6.349353-4 2.910112+2 6.415461-4 2.974440+2 6.473217-4 3.015143+2 6.527996-4 3.046471+2 6.715420-4 3.130916+2 6.922044-4 3.200565+2 7.212509-4 3.270605+2 7.698358-4 3.353592+2 8.109482-4 3.385895+2 8.650301-4 3.412778+2 9.436363-4 3.420790+2 1.015382-3 3.403652+2 1.143207-3 3.342383+2 1.238771-3 3.285348+2 1.454824-3 3.131722+2 1.628827-3 3.001553+2 1.905461-3 2.806563+2 2.095879-3 2.678169+2 2.358717-3 2.514558+2 2.656283-3 2.341205+2 2.870058-3 2.223713+2 3.103548-3 2.102367+2 3.365168-3 1.973181+2 3.640550-3 1.844933+2 3.937569-3 1.712480+2 4.090755-3 1.645548+2 4.235782-3 1.583136+2 4.356660-3 1.530860+2 4.473756-3 1.479969+2 4.581735-3 1.432551+2 4.677351-3 1.389331+2 4.757844-3 1.351844+2 4.839550-3 1.312333+2 4.912874-3 1.275021+2 4.968036-3 1.245350+2 5.020658-3 1.215375+2 5.067622-3 1.186912+2 5.113247-3 1.157110+2 5.152488-3 1.129099+2 5.176129-3 1.110800+2 5.210544-3 1.081548+2 5.239750-3 1.053322+2 5.264628-3 1.025739+2 5.285508-3 9.992830+1 5.306798-3 9.687279+1 5.335412-3 9.225876+1 5.376566-3 8.560931+1 5.392890-3 8.354985+1 5.406851-3 8.230974+1 5.416514-3 8.179892+1 5.428790-3 8.160651+1 5.440841-3 8.193305+1 5.448546-3 8.240474+1 5.456941-3 8.313844+1 5.472213-3 8.499167+1 5.491776-3 8.810312+1 5.534320-3 9.589151+1 5.559536-3 1.001161+2 5.570416-3 1.017319+2 5.585000-3 1.036870+2 5.600191-3 1.054766+2 5.621462-3 1.076082+2 5.645102-3 1.095604+2 5.669344-3 1.112167+2 5.717461-3 1.137904+2 5.748156-3 1.150822+2 5.821032-3 1.174070+2 5.907969-3 1.192488+2 6.018766-3 1.206570+2 6.107481-3 1.212783+2 6.226641-3 1.215961+2 6.407368-3 1.213741+2 6.642651-3 1.201460+2 6.914421-3 1.179452+2 7.249798-3 1.146184+2 7.683214-3 1.099021+2 8.291262-3 1.032038+2 9.135820-3 9.441354+1 9.982180-3 8.649472+1 1.130070-2 7.597643+1 1.266421-2 6.699713+1 1.414273-2 5.894493+1 1.567336-2 5.194225+1 1.732942-2 4.558346+1 1.865692-2 4.121566+1 2.080081-2 3.527632+1 2.316543-2 3.002312+1 2.573221-2 2.549705+1 3.041392-2 1.949467+1 3.986805-2 1.256729+1 5.336719-2 7.717469+0 6.325440-2 5.772465+0 7.520074-2 4.263436+0 9.037953-2 3.064041+0 1.092719-1 2.165791+0 1.352737-1 1.451786+0 1.788880-1 8.536383-1 2.402549-1 4.838269-1 3.268465-1 2.655125-1 4.847388-1 1.221067-1 8.420969-1 4.074623-2 2.567148+0 4.398816-3 7.752663+0 4.824938-4 2.341267+1 5.290648-5 7.070513+1 5.801106-6 2.135261+2 6.360789-7 6.448384+2 6.974467-8 1.995262+3 7.284719-9 6.309573+3 7.28472-10 1.995262+4 7.28472-11 6.309573+4 7.28472-12 1.000000+5 2.90010-12 1 23000 7 7 5.094200+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.280500-6 1.258900-6 2.029500-6 1.584900-6 3.216500-6 1.995300-6 5.097800-6 2.511900-6 8.079400-6 3.162300-6 1.280500-5 3.981100-6 2.029400-5 5.011900-6 3.216400-5 6.309600-6 5.097700-5 7.943300-6 8.079200-5 1.000000-5 1.280400-4 1.258900-5 2.029300-4 1.584900-5 3.215000-4 1.995300-5 5.092800-4 2.511900-5 8.068000-4 3.162300-5 1.278300-3 3.981100-5 2.025400-3 5.011900-5 3.209400-3 6.309600-5 5.085700-3 7.943300-5 8.048300-3 1.000000-4 1.273200-2 1.258900-4 2.014100-2 1.584900-4 3.178300-2 1.995300-4 5.008900-2 2.511900-4 7.864600-2 3.162300-4 1.228300-1 3.981100-4 1.902500-1 5.011900-4 2.910600-1 6.309600-4 4.373500-1 7.943300-4 6.405000-1 1.000000-3 9.069600-1 1.258900-3 1.235000+0 1.584900-3 1.617600+0 1.995300-3 2.057700+0 2.511900-3 2.578300+0 3.162300-3 3.201700+0 3.981100-3 3.933900+0 5.011900-3 4.760200+0 6.309600-3 5.667800+0 7.943300-3 6.606700+0 1.000000-2 7.531400+0 1.258900-2 8.388700+0 1.584900-2 9.179900+0 1.995300-2 9.896100+0 2.511900-2 1.049700+1 3.162300-2 1.093900+1 3.981100-2 1.120800+1 5.011900-2 1.131300+1 6.309600-2 1.126300+1 7.943300-2 1.107400+1 1.000000-1 1.074500+1 1.258900-1 1.030100+1 1.584900-1 9.767200+0 1.995300-1 9.171000+0 2.511900-1 8.538200+0 3.162300-1 7.889700+0 3.981100-1 7.242300+0 5.011900-1 6.607800+0 6.309600-1 5.994300+0 7.943300-1 5.406400+0 1.000000+0 4.847600+0 1.258900+0 4.320600+0 1.584900+0 3.826800+0 1.995300+0 3.368200+0 2.511900+0 2.946100+0 3.162300+0 2.561200+0 3.981100+0 2.213600+0 5.011900+0 1.902600+0 6.309600+0 1.626800+0 7.943300+0 1.384300+0 1.000000+1 1.172700+0 1.258900+1 9.895200-1 1.584900+1 8.318900-1 1.995300+1 6.970700-1 2.511900+1 5.823400-1 3.162300+1 4.851900-1 3.981100+1 4.032500-1 5.011900+1 3.344200-1 6.309600+1 2.767700-1 7.943300+1 2.286500-1 1.000000+2 1.885800-1 1.258900+2 1.553000-1 1.584900+2 1.277200-1 1.995300+2 1.049000-1 2.511900+2 8.605600-2 3.162300+2 7.052100-2 3.981100+2 5.773200-2 5.011900+2 4.721900-2 6.309600+2 3.858600-2 7.943300+2 3.150600-2 1.000000+3 2.570500-2 1.258900+3 2.095700-2 1.584900+3 1.707400-2 1.995300+3 1.390200-2 2.511900+3 1.131200-2 3.162300+3 9.199700-3 3.981100+3 7.477400-3 5.011900+3 6.074400-3 6.309600+3 4.932200-3 7.943300+3 4.002900-3 1.000000+4 3.247200-3 1.258900+4 2.633000-3 1.584900+4 2.134100-3 1.995300+4 1.729000-3 2.511900+4 1.400300-3 3.162300+4 1.133600-3 3.981100+4 9.174100-4 5.011900+4 7.421900-4 6.309600+4 6.002300-4 7.943300+4 4.852700-4 1.000000+5 3.922100-4 1 23000 7 7 5.094200+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510164-4 3.162278-4 3.159554-4 3.981072-4 3.976757-4 5.011872-4 5.005068-4 6.309573-4 6.298889-4 7.943282-4 7.926487-4 1.000000-3 9.973815-4 1.258925-3 1.254852-3 1.584893-3 1.578572-3 1.995262-3 1.985433-3 2.511886-3 2.496563-3 3.162278-3 3.138263-3 3.981072-3 3.943409-3 5.011872-3 4.952839-3 6.309573-3 6.217616-3 7.943282-3 7.800175-3 1.000000-2 9.778936-3 1.258925-2 1.224847-2 1.584893-2 1.532423-2 1.995262-2 1.914518-2 2.511886-2 2.388106-2 3.162278-2 2.973482-2 3.981072-2 3.694720-2 5.011872-2 4.579400-2 6.309573-2 5.661196-2 7.943282-2 6.975365-2 1.000000-1 8.569308-2 1.258925-1 1.049177-1 1.584893-1 1.280311-1 1.995262-1 1.557093-1 2.511886-1 1.887034-1 3.162278-1 2.279061-1 3.981072-1 2.743361-1 5.011872-1 3.291765-1 6.309573-1 3.937388-1 7.943282-1 4.697534-1 1.000000+0 5.592345-1 1.258925+0 6.645537-1 1.584893+0 7.888613-1 1.995262+0 9.359315-1 2.511886+0 1.110444+0 3.162278+0 1.318127+0 3.981072+0 1.566041+0 5.011872+0 1.862780+0 6.309573+0 2.218946+0 7.943282+0 2.647429+0 1.000000+1 3.163984+0 1.258925+1 3.788013+0 1.584893+1 4.543096+0 1.995262+1 5.458303+0 2.511886+1 6.569039+0 3.162278+1 7.918980+0 3.981072+1 9.561560+0 5.011872+1 1.156216+1 6.309573+1 1.400183+1 7.943282+1 1.697941+1 1.000000+2 2.061678+1 1.258925+2 2.506405+1 1.584893+2 3.050560+1 1.995262+2 3.716911+1 2.511886+2 4.533400+1 3.162278+2 5.534661+1 3.981072+2 6.763106+1 5.011872+2 8.271422+1 6.309573+2 1.012436+2 7.943282+2 1.240197+2 1.000000+3 1.520284+2 1.258925+3 1.864931+2 1.584893+3 2.289207+2 1.995262+3 2.811797+2 2.511886+3 3.455637+2 3.162278+3 4.249396+2 3.981072+3 5.228232+2 5.011872+3 6.435820+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88214-10 1.995262-5 1.090669-9 2.511886-5 1.728565-9 3.162278-5 2.739603-9 3.981072-5 4.341989-9 5.011872-5 6.881520-9 6.309573-5 1.090612-8 7.943282-5 1.727816-8 1.000000-4 2.737711-8 1.258925-4 4.338145-8 1.584893-4 6.870246-8 1.995262-4 1.088060-7 2.511886-4 1.722242-7 3.162278-4 2.723799-7 3.981072-4 4.314255-7 5.011872-4 6.804815-7 6.309573-4 1.068493-6 7.943282-4 1.679490-6 1.000000-3 2.618521-6 1.258925-3 4.073702-6 1.584893-3 6.320926-6 1.995262-3 9.828886-6 2.511886-3 1.532335-5 3.162278-3 2.401516-5 3.981072-3 3.766242-5 5.011872-3 5.903308-5 6.309573-3 9.195790-5 7.943282-3 1.431076-4 1.000000-2 2.210638-4 1.258925-2 3.407879-4 1.584893-2 5.247043-4 1.995262-2 8.074440-4 2.511886-2 1.237801-3 3.162278-2 1.887954-3 3.981072-2 2.863518-3 5.011872-2 4.324721-3 6.309573-2 6.483778-3 7.943282-2 9.679177-3 1.000000-1 1.430692-2 1.258925-1 2.097480-2 1.584893-1 3.045819-2 1.995262-1 4.381689-2 2.511886-1 6.248529-2 3.162278-1 8.832164-2 3.981072-1 1.237711-1 5.011872-1 1.720107-1 6.309573-1 2.372185-1 7.943282-1 3.245749-1 1.000000+0 4.407655-1 1.258925+0 5.943717-1 1.584893+0 7.960318-1 1.995262+0 1.059331+0 2.511886+0 1.401442+0 3.162278+0 1.844151+0 3.981072+0 2.415031+0 5.011872+0 3.149092+0 6.309573+0 4.090627+0 7.943282+0 5.295853+0 1.000000+1 6.836016+0 1.258925+1 8.801241+0 1.584893+1 1.130584+1 1.995262+1 1.449432+1 2.511886+1 1.854983+1 3.162278+1 2.370380+1 3.981072+1 3.024916+1 5.011872+1 3.855656+1 6.309573+1 4.909391+1 7.943282+1 6.245341+1 1.000000+2 7.938322+1 1.258925+2 1.008285+2 1.584893+2 1.279837+2 1.995262+2 1.623571+2 2.511886+2 2.058546+2 3.162278+2 2.608812+2 3.981072+2 3.304761+2 5.011872+2 4.184730+2 6.309573+2 5.297138+2 7.943282+2 6.703085+2 1.000000+3 8.479716+2 1.258925+3 1.072432+3 1.584893+3 1.355972+3 1.995262+3 1.714083+3 2.511886+3 2.166323+3 3.162278+3 2.737338+3 3.981072+3 3.458249+3 5.011872+3 4.368290+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.630000-6 1.047841+6 6.850000-6 8.149860+5 7.000000-6 6.852660+5 7.100000-6 6.096920+5 7.244360-6 5.137397+5 7.350000-6 4.520560+5 7.500000-6 3.757620+5 7.600000-6 3.312900+5 7.730000-6 2.801300+5 7.852356-6 2.381867+5 7.960000-6 2.057220+5 8.050000-6 1.814220+5 8.150000-6 1.571704+5 8.240000-6 1.376024+5 8.317638-6 1.222971+5 8.420000-6 1.041606+5 8.520000-6 8.849120+4 8.609938-6 7.597202+4 8.680000-6 6.717040+4 8.740000-6 6.024720+4 8.810489-6 5.279213+4 8.880000-6 4.611300+4 8.940000-6 4.085040+4 9.000000-6 3.602580+4 9.070000-6 3.091660+4 9.120108-6 2.758267+4 9.170000-6 2.451800+4 9.225714-6 2.138012+4 9.280000-6 1.859570+4 9.332543-6 1.614544+4 9.380000-6 1.412828+4 9.420000-6 1.256558+4 9.460000-6 1.112414+4 9.500000-6 9.798500+3 9.530000-6 8.875173+3 9.530000-6 1.418849+6 9.535000-6 1.419552+6 9.570000-6 1.424500+6 9.610000-6 1.430257+6 9.610000-6 2.359717+6 9.650000-6 2.370046+6 9.685000-6 2.379168+6 9.715000-6 2.387048+6 9.750000-6 2.396310+6 9.790000-6 2.406982+6 9.830000-6 2.417744+6 9.910000-6 2.439524+6 9.937000-6 2.446948+6 9.960000-6 2.453301+6 9.980000-6 2.458845+6 1.000000-5 2.464408+6 1.001500-5 2.468900+6 1.002700-5 2.472501+6 1.004200-5 2.477011+6 1.005500-5 2.480929+6 1.007000-5 2.485460+6 1.008500-5 2.490000+6 1.010000-5 2.494551+6 1.011579-5 2.499352+6 1.012700-5 2.502911+6 1.014200-5 2.507681+6 1.015500-5 2.511824+6 1.017000-5 2.516613+6 1.018500-5 2.521412+6 1.020000-5 2.526221+6 1.021500-5 2.531039+6 1.023293-5 2.536811+6 1.025000-5 2.542318+6 1.028000-5 2.552026+6 1.031000-5 2.561769+6 1.040500-5 2.592846+6 1.044000-5 2.604377+6 1.048000-5 2.617608+6 1.052000-5 2.630892+6 1.056000-5 2.644227+6 1.059254-5 2.655109+6 1.060000-5 2.657704+6 1.063500-5 2.669893+6 1.067000-5 2.682120+6 1.071519-5 2.697960+6 1.075000-5 2.710502+6 1.079000-5 2.724959+6 1.083927-5 2.742828+6 1.088000-5 2.757651+6 1.094000-5 2.779567+6 1.100000-5 2.801575+6 1.107000-5 2.827362+6 1.112000-5 2.845851+6 1.117000-5 2.864397+6 1.123000-5 2.886722+6 1.131000-5 2.916604+6 1.138000-5 2.942854+6 1.146000-5 2.972965+6 1.154000-5 3.003189+6 1.165000-5 3.044920+6 1.176000-5 3.086838+6 1.185000-5 3.121265+6 1.195000-5 3.159646+6 1.207000-5 3.205872+6 1.218000-5 3.248398+6 1.230269-5 3.295990+6 1.245000-5 3.353340+6 1.260000-5 3.411955+6 1.275000-5 3.470775+6 1.288250-5 3.522879+6 1.290000-5 3.529592+6 1.310000-5 3.606293+6 1.318257-5 3.637980+6 1.330000-5 3.682338+6 1.350000-5 3.757944+6 1.372000-5 3.841308+6 1.400000-5 3.947684+6 1.412538-5 3.995328+6 1.428894-5 4.055453+6 1.430000-5 4.059430+6 1.462177-5 4.174816+6 1.496236-5 4.297058+6 1.531087-5 4.422254+6 1.548817-5 4.483163+6 1.570000-5 4.554018+6 1.610000-5 4.687501+6 1.659587-5 4.852767+6 1.678804-5 4.913691+6 1.710000-5 5.009568+6 1.770000-5 5.193163+6 1.778279-5 5.218382+6 1.800000-5 5.281156+6 1.830000-5 5.364725+6 1.905461-5 5.573437+6 1.927525-5 5.630304+6 1.980000-5 5.759539+6 2.041738-5 5.910099+6 2.070000-5 5.970517+6 2.162719-5 6.166158+6 2.187762-5 6.213757+6 2.270000-5 6.359047+6 2.300000-5 6.411267+6 2.317395-5 6.438140+6 2.400000-5 6.554092+6 2.426610-5 6.590797+6 2.454709-5 6.624092+6 2.540973-5 6.712842+6 2.570396-5 6.742484+6 2.600160-5 6.766755+6 2.691535-5 6.827731+6 2.754229-5 6.857337+6 2.818383-5 6.878757+6 2.884032-5 6.889687+6 2.900000-5 6.892219+6 2.951209-5 6.893939+6 3.054921-5 6.880101+6 3.090295-5 6.871520+6 3.198895-5 6.826788+6 3.273407-5 6.789778+6 3.349654-5 6.740161+6 3.350000-5 6.739938+6 3.467369-5 6.654407+6 3.548134-5 6.585495+6 3.630781-5 6.509584+6 3.672823-5 6.471809+6 3.758374-5 6.385565+6 3.900000-5 6.237988+6 3.935501-5 6.198434+6 4.000000-5 6.127918+6 4.168694-5 5.940785+6 4.265795-5 5.829938+6 4.466836-5 5.603197+6 4.570882-5 5.485306+6 4.650000-5 5.395519+6 4.800000-5 5.232932+6 4.900000-5 5.124192+6 4.979000-5 5.038298+6 4.979000-5 6.354258+6 5.040000-5 6.244977+6 5.065000-5 6.197646+6 5.065000-5 6.842908+6 5.069907-5 6.832034+6 5.110000-5 6.744360+6 5.120000-5 6.721778+6 5.188000-5 6.567416+6 5.190000-5 6.562757+6 5.270000-5 6.375279+6 5.300000-5 6.306387+6 5.308844-5 6.285902+6 5.370318-5 6.145282+6 5.500000-5 5.864867+6 5.559043-5 5.745258+6 5.650000-5 5.566533+6 5.688529-5 5.495562+6 5.754399-5 5.376453+6 5.760000-5 5.366658+6 5.850000-5 5.217062+6 5.888437-5 5.157219+6 5.956621-5 5.055618+6 6.000000-5 4.994665+6 6.025596-5 4.958853+6 6.030000-5 4.952733+6 6.095369-5 4.865724+6 6.110000-5 4.846244+6 6.180000-5 4.758749+6 6.194100-5 4.741685+6 6.260000-5 4.665434+6 6.350000-5 4.569075+6 6.400000-5 4.519839+6 6.450000-5 4.469681+6 6.456542-5 4.463306+6 6.531306-5 4.394013+6 6.540000-5 4.385875+6 6.606934-5 4.327236+6 6.650000-5 4.290211+6 6.760830-5 4.202737+6 6.770000-5 4.195777+6 6.839116-5 4.145943+6 6.850000-5 4.137860+6 6.900000-5 4.101687+6 6.918310-5 4.089077+6 6.950000-5 4.066840+6 7.070000-5 3.986393+6 7.079458-5 3.980411+6 7.244360-5 3.881522+6 7.300000-5 3.851043+6 7.328245-5 3.834989+6 7.413102-5 3.786476+6 7.500000-5 3.739274+6 7.642000-5 3.667436+6 7.642000-5 4.078658+6 7.673615-5 4.061933+6 7.800000-5 3.997947+6 7.900000-5 3.946110+6 8.128305-5 3.838255+6 8.150000-5 3.828561+6 8.317638-5 3.758061+6 8.413951-5 3.717047+6 8.511380-5 3.676487+6 8.609938-5 3.637876+6 8.810489-5 3.563550+6 8.912509-5 3.527113+6 9.015711-5 3.489614+6 9.225714-5 3.417869+6 9.332543-5 3.382467+6 9.440609-5 3.348169+6 9.549926-5 3.314332+6 9.660509-5 3.280927+6 9.885531-5 3.212529+6 1.000000-4 3.179330+6 1.023293-4 3.113543+6 1.040000-4 3.068822+6 1.059254-4 3.016512+6 1.060000-4 3.014505+6 1.083927-4 2.951374+6 1.096478-4 2.918654+6 1.106700-4 2.892904+6 1.109200-4 2.886589+6 1.135011-4 2.822939+6 1.150000-4 2.786338+6 1.174898-4 2.725505+6 1.190000-4 2.689946+6 1.205000-4 2.654459+6 1.240000-4 2.574996+6 1.244515-4 2.565081+6 1.260000-4 2.530152+6 1.303167-4 2.435677+6 1.318257-4 2.403163+6 1.333521-4 2.370821+6 1.350000-4 2.337066+6 1.380384-4 2.277145+6 1.462177-4 2.121179+6 1.480000-4 2.088879+6 1.496236-4 2.060107+6 1.500000-4 2.053484+6 1.548817-4 1.970989+6 1.621810-4 1.855212+6 1.650000-4 1.813593+6 1.659587-4 1.799210+6 1.760000-4 1.660537+6 1.778279-4 1.636516+6 1.840772-4 1.558373+6 1.862087-4 1.533170+6 1.950000-4 1.432863+6 1.980000-4 1.401309+6 1.995262-4 1.385532+6 2.000000-4 1.380522+6 2.113489-4 1.268843+6 2.137962-4 1.246612+6 2.187762-4 1.202157+6 2.213095-4 1.180447+6 2.264644-4 1.138126+6 2.317395-4 1.097048+6 2.344229-4 1.076677+6 2.426610-4 1.017885+6 2.454709-4 9.988910+5 2.511886-4 9.616570+5 2.570396-4 9.251268+5 2.660725-4 8.730505+5 2.691535-4 8.562150+5 2.722701-4 8.396842+5 2.754229-4 8.231109+5 2.786121-4 8.067985+5 2.851018-4 7.752025+5 2.884032-4 7.598827+5 2.951209-4 7.298542+5 3.000000-4 7.087765+5 3.090295-4 6.721949+5 3.126079-4 6.584440+5 3.198895-4 6.315481+5 3.200000-4 6.311529+5 3.388442-4 5.679421+5 3.427678-4 5.560260+5 3.467369-4 5.442582+5 3.507519-4 5.326904+5 3.589219-4 5.099190+5 3.630781-4 4.989021+5 3.758374-4 4.673196+5 3.801894-4 4.571716+5 3.850000-4 4.463301+5 4.027170-4 4.089993+5 4.100000-4 3.949596+5 4.216965-4 3.737192+5 4.265795-4 3.652119+5 4.518559-4 3.255318+5 4.570882-4 3.180739+5 4.623810-4 3.107514+5 4.731513-4 2.964021+5 4.786301-4 2.894839+5 5.000000-4 2.646853+5 5.069907-4 2.572138+5 5.128614-4 2.511787+5 5.245400-4 2.396042+5 5.245400-4 9.245442+5 5.247000-4 9.385393+5 5.250000-4 9.692009+5 5.254500-4 1.011328+6 5.260000-4 1.057714+6 5.265000-4 1.095477+6 5.270000-4 1.129945+6 5.277000-4 1.172919+6 5.282000-4 1.200190+6 5.290000-4 1.238924+6 5.298000-4 1.272188+6 5.305000-4 1.297249+6 5.308844-4 1.308673+6 5.315000-4 1.327222+6 5.318800-4 1.336244+6 5.318800-4 1.669584+6 5.320500-4 1.680934+6 5.323500-4 1.703296+6 5.325200-4 1.715300+6 5.327000-4 1.727197+6 5.331500-4 1.755052+6 5.335000-4 1.775534+6 5.340000-4 1.800481+6 5.345000-4 1.823786+6 5.350000-4 1.845177+6 5.352000-4 1.852756+6 5.360000-4 1.879851+6 5.365000-4 1.895012+6 5.367000-4 1.900283+6 5.375000-4 1.918679+6 5.380000-4 1.928835+6 5.382000-4 1.932184+6 5.393000-4 1.947309+6 5.400000-4 1.954731+6 5.405000-4 1.958604+6 5.417000-4 1.964529+6 5.420000-4 1.965183+6 5.432503-4 1.964839+6 5.450000-4 1.959955+6 5.470000-4 1.950184+6 5.495409-4 1.933536+6 5.500000-4 1.929879+6 5.559043-4 1.883682+6 5.688529-4 1.787804+6 5.754399-4 1.741636+6 6.000000-4 1.583852+6 6.095369-4 1.526665+6 6.165950-4 1.486171+6 6.237900-4 1.446452+6 6.237900-4 1.638701+6 6.309573-4 1.597824+6 6.362600-4 1.568504+6 6.456542-4 1.519187+6 6.531306-4 1.481354+6 6.760830-4 1.373550+6 6.800000-4 1.356130+6 6.839116-4 1.338812+6 7.000000-4 1.269691+6 7.161434-4 1.205917+6 7.328245-4 1.144812+6 7.500000-4 1.086532+6 7.585776-4 1.058931+6 7.673615-4 1.031454+6 7.762471-4 1.004212+6 7.943282-4 9.518550+5 8.317638-4 8.553811+5 8.413951-4 8.326761+5 8.709636-4 7.671343+5 9.015711-4 7.063570+5 9.120108-4 6.870369+5 9.225714-4 6.679858+5 9.332543-4 6.494770+5 9.549926-4 6.140059+5 9.772372-4 5.805250+5 1.023293-3 5.189879+5 1.035142-3 5.046809+5 1.047129-3 4.906141+5 1.059254-3 4.769431+5 1.083927-3 4.504181+5 1.096478-3 4.377296+5 1.100000-3 4.342609+5 1.122018-3 4.134215+5 1.135011-3 4.017254+5 1.150000-3 3.887190+5 1.161449-3 3.791800+5 1.174898-3 3.682765+5 1.230269-3 3.277710+5 1.244515-3 3.183807+5 1.303167-3 2.834704+5 1.318257-3 2.753301+5 1.350000-3 2.591759+5 1.364583-3 2.521301+5 1.396368-3 2.376790+5 1.420000-3 2.276861+5 1.428894-3 2.240757+5 1.462177-3 2.111833+5 1.479108-3 2.049960+5 1.496236-3 1.989917+5 1.513561-3 1.931685+5 1.566751-3 1.765999+5 1.584893-3 1.714083+5 1.603245-3 1.663739+5 1.650000-3 1.544404+5 1.678804-3 1.476443+5 1.698244-3 1.432918+5 1.737801-3 1.349411+5 1.798871-3 1.232406+5 1.819701-3 1.195773+5 1.840772-3 1.160231+5 1.862087-3 1.125559+5 1.900000-3 1.067399+5 1.905461-3 1.059367+5 2.000000-3 9.323454+4 2.018366-3 9.100049+4 2.041738-3 8.826505+4 2.113489-3 8.054962+4 2.162719-3 7.576238+4 2.187762-3 7.347846+4 2.213095-3 7.125566+4 2.264644-3 6.701218+4 2.290868-3 6.498883+4 2.317395-3 6.301374+4 2.371374-3 5.924388+4 2.400000-3 5.737238+4 2.454709-3 5.399903+4 2.540973-3 4.921886+4 2.570396-3 4.771856+4 2.600160-3 4.626407+4 2.630268-3 4.485518+4 2.691535-3 4.214798+4 2.722701-3 4.085825+4 2.786121-3 3.838086+4 2.900000-3 3.443113+4 2.917427-3 3.387575+4 2.985383-3 3.182580+4 3.000000-3 3.140731+4 3.019952-3 3.084786+4 3.054921-3 2.989442+4 3.090295-3 2.897137+4 3.162278-3 2.721234+4 3.311311-3 2.399047+4 3.388442-3 2.252511+4 3.467369-3 2.115082+4 3.507519-3 2.049573+4 3.589219-3 1.924031+4 3.630781-3 1.864235+4 3.845918-3 1.590696+4 4.027170-3 1.401156+4 4.073803-3 1.357465+4 4.120975-3 1.314937+4 4.168694-3 1.273781+4 4.415704-3 1.085566+4 4.518559-3 1.018477+4 4.570882-3 9.864629+3 4.677351-3 9.255068+3 4.786301-3 8.683399+3 4.800000-3 8.614692+3 4.841724-3 8.408237+3 5.069907-3 7.392058+3 5.308844-3 6.501211+3 5.370318-3 6.295771+3 5.432503-3 6.096951+3 5.439600-3 6.074790+3 5.439600-3 5.025657+4 5.559043-3 4.772776+4 5.585000-3 4.720133+4 5.623413-3 4.641639+4 5.688529-3 4.512743+4 5.754399-3 4.387451+4 5.821032-3 4.261099+4 6.237348-3 3.576142+4 6.382635-3 3.373292+4 6.400000-3 3.350129+4 6.456542-3 3.273950+4 6.500000-3 3.216956+4 6.606934-3 3.082383+4 6.683439-3 2.990848+4 6.760830-3 2.902043+4 6.839116-3 2.815882+4 7.000000-3 2.649620+4 7.244360-3 2.420142+4 7.498942-3 2.209243+4 7.500000-3 2.208420+4 7.762471-3 2.016471+4 7.852356-3 1.956040+4 8.000000-3 1.862083+4 8.128305-3 1.785427+4 8.413951-3 1.628589+4 8.709636-3 1.485544+4 8.800000-3 1.445234+4 8.810489-3 1.440561+4 9.120108-3 1.311447+4 9.225714-3 1.271039+4 9.332543-3 1.231880+4 9.772372-3 1.086974+4 9.885531-3 1.053500+4 1.011579-2 9.896130+3 1.023293-2 9.591059+3 1.035142-2 9.295343+3 1.047129-2 9.008706+3 1.059254-2 8.730952+3 1.071519-2 8.461785+3 1.083927-2 8.200916+3 1.135011-2 7.216291+3 1.174898-2 6.556369+3 1.216186-2 5.956209+3 1.230269-2 5.768570+3 1.244515-2 5.586852+3 1.258925-2 5.410882+3 1.333521-2 4.610884+3 1.380384-2 4.182255+3 1.412538-2 3.918630+3 1.428894-2 3.793120+3 1.445440-2 3.671615+3 1.479108-2 3.440132+3 1.496236-2 3.329926+3 1.566751-2 2.923373+3 1.584893-2 2.828715+3 1.621810-2 2.648506+3 1.678804-2 2.399269+3 1.717908-2 2.246281+3 1.737801-2 2.173470+3 1.819701-2 1.905115+3 1.862087-2 1.782206+3 1.905461-2 1.667237+3 1.995262-2 1.458899+3 2.041738-2 1.364705+3 2.065380-2 1.319916+3 2.089296-2 1.276593+3 2.187762-2 1.117067+3 2.264644-2 1.009386+3 2.317395-2 9.433683+2 2.371374-2 8.816734+2 2.426610-2 8.240101+2 2.454709-2 7.966098+2 2.511886-2 7.445146+2 2.600160-2 6.726878+2 2.660725-2 6.286985+2 2.691535-2 6.075574+2 2.818383-2 5.298004+2 2.884032-2 4.947359+2 2.951209-2 4.619946+2 3.019952-2 4.314213+2 3.090295-2 4.028733+2 3.198895-2 3.635535+2 3.235937-2 3.513197+2 3.311311-2 3.278113+2 3.349654-2 3.166538+2 3.548134-2 2.663080+2 3.715352-2 2.318630+2 3.801894-2 2.163501+2 3.935501-2 1.950063+2 3.981072-2 1.883642+2 4.000000-2 1.856938+2 4.073803-2 1.756503+2 4.315191-2 1.474384+2 4.570882-2 1.237601+2 4.841724-2 1.038864+2 5.011872-2 9.352071+1 5.069907-2 9.030030+1 5.248075-2 8.120830+1 5.370318-2 7.566167+1 6.025596-2 5.312141+1 6.309573-2 4.610870+1 6.606934-2 4.002148+1 6.760830-2 3.726539+1 6.998420-2 3.348317+1 7.585776-2 2.608451+1 7.762471-2 2.428853+1 8.222426-2 2.031870+1 8.317638-2 1.960628+1 8.413951-2 1.891880+1 8.511380-2 1.825545+1 8.810489-2 1.640176+1 9.120108-2 1.473634+1 9.549926-2 1.277007+1 9.660509-2 1.232097+1 9.885531-2 1.146962+1 1.035142-1 9.939057+0 1.059254-1 9.252190+0 1.071519-1 8.926794+0 1.083927-1 8.612809+0 1.109175-1 8.017607+0 1.161449-1 6.947780+0 1.230269-1 5.809018+0 1.258925-1 5.407627+0 1.364583-1 4.208968+0 1.396368-1 3.918167+0 1.412538-1 3.780384+0 1.445440-1 3.519199+0 1.462177-1 3.396034+0 1.548817-1 2.841942+0 1.584893-1 2.646647+0 1.603245-1 2.554094+0 1.621810-1 2.464784+0 1.678804-1 2.215168+0 1.717908-1 2.062975+0 1.778279-1 1.854064+0 1.819701-1 1.726680+0 1.862087-1 1.608055+0 1.905461-1 1.498808+0 1.972423-1 1.348703+0 2.018366-1 1.257083+0 2.065380-1 1.171696+0 2.089296-1 1.131204+0 2.137962-1 1.054449+0 2.187762-1 9.829048-1 2.213095-1 9.489748-1 2.317395-1 8.261246-1 2.344229-1 7.979833-1 2.371374-1 7.708006-1 2.398833-1 7.445453-1 2.426610-1 7.191889-1 2.454709-1 6.946960-1 2.540973-1 6.261921-1 2.570396-1 6.048932-1 2.600160-1 5.846070-1 2.630268-1 5.650021-1 2.638800-1 5.596067-1 2.691535-1 5.277436-1 2.754229-1 4.929425-1 2.786121-1 4.764126-1 2.818383-1 4.604398-1 2.917427-1 4.157240-1 2.951209-1 4.018065-1 2.985383-1 3.883548-1 3.000000-1 3.828843-1 3.198895-1 3.177562-1 3.235937-1 3.073090-1 3.273407-1 2.972216-1 3.388442-1 2.689032-1 3.507519-1 2.437624-1 3.589219-1 2.283226-1 3.630781-1 2.209750-1 3.801894-1 1.939215-1 3.845918-1 1.878211-1 3.890451-1 1.819131-1 4.027170-1 1.652807-1 4.073803-1 1.600831-1 4.120975-1 1.550591-1 4.216965-1 1.454790-1 4.415705-1 1.284249-1 4.466836-1 1.244835-1 4.518559-1 1.206643-1 4.570882-1 1.169702-1 4.598600-1 1.150758-1 4.677351-1 1.099181-1 4.841724-1 1.003578-1 4.897788-1 9.735969-2 4.954502-1 9.445108-2 5.011872-1 9.163029-2 5.069907-1 8.889979-2 5.188000-1 8.368051-2 5.308844-1 7.888869-2 5.370318-1 7.659673-2 5.432503-1 7.437141-2 5.495409-1 7.221150-2 5.559043-1 7.011906-2 5.688529-1 6.611435-2 5.821032-1 6.243461-2 5.888437-1 6.067232-2 6.000000-1 5.790553-2 6.025596-1 5.729600-2 6.237348-1 5.259365-2 6.309573-1 5.115586-2 6.456542-1 4.839727-2 6.531306-1 4.707430-2 6.606935-1 4.578751-2 6.839117-1 4.214479-2 7.079458-1 3.888968-2 7.244360-1 3.686057-2 7.328245-1 3.588908-2 7.413102-1 3.497161-2 7.498942-1 3.407759-2 7.673615-1 3.235760-2 7.762471-1 3.153045-2 7.943282-1 2.993906-2 8.035261-1 2.917605-2 8.128305-1 2.845517-2 8.413951-1 2.639776-2 8.511380-1 2.574556-2 8.609938-1 2.510947-2 8.709636-1 2.448913-2 8.810489-1 2.388620-2 8.912509-1 2.329815-2 9.015711-1 2.272458-2 9.120108-1 2.218078-2 9.332543-1 2.113196-2 9.440609-1 2.062629-2 9.549926-1 2.013451-2 9.660509-1 1.965448-2 9.772372-1 1.918593-2 1.000000+0 1.831727-2 1.011579+0 1.789782-2 1.023293+0 1.748797-2 1.059254+0 1.631660-2 1.071519+0 1.594388-2 1.096478+0 1.522374-2 1.109175+0 1.487597-2 1.122018+0 1.454745-2 1.135011+0 1.422617-2 1.148154+0 1.391201-2 1.161449+0 1.360585-2 1.174898+0 1.330644-2 1.188502+0 1.301365-2 1.216186+0 1.244722-2 1.250000+0 1.182546-2 1.273503+0 1.142095-2 1.303167+0 1.094165-2 1.333521+0 1.048250-2 1.348963+0 1.026019-2 1.364583+0 1.004980-2 1.380384+0 9.843733-3 1.412538+0 9.444175-3 1.445440+0 9.062169-3 1.479108+0 8.695632-3 1.500000+0 8.479661-3 1.531087+0 8.183984-3 1.566751+0 7.864345-3 1.603245+0 7.558261-3 1.640590+0 7.264092-3 1.659587+0 7.121336-3 1.678804+0 6.981386-3 1.698244+0 6.848981-3 1.737801+0 6.591662-3 1.778279+0 6.344910-3 1.840772+0 5.991996-3 1.862087+0 5.878780-3 1.883649+0 5.771644-3 1.905461+0 5.666465-3 1.927525+0 5.563205-3 1.949845+0 5.461871-3 1.972423+0 5.362717-3 1.995262+0 5.265365-3 2.044000+0 5.066995-3 2.065380+0 4.983789-3 2.089296+0 4.893319-3 2.113489+0 4.807354-3 2.137962+0 4.722904-3 2.187762+0 4.558427-3 2.213095+0 4.478383-3 2.238721+0 4.399973-3 2.264644+0 4.322936-3 2.317395+0 4.172886-3 2.344229+0 4.099829-3 2.371374+0 4.028050-3 2.398833+0 3.959801-3 2.426610+0 3.892711-3 2.483133+0 3.761923-3 2.511886+0 3.698213-3 2.570396+0 3.574369-3 2.600160+0 3.514011-3 2.660725+0 3.396342-3 2.691535+0 3.338994-3 2.722701+0 3.282616-3 2.754229+0 3.229047-3 2.786121+0 3.176357-3 2.851018+0 3.073540-3 2.884032+0 3.023407-3 2.951209+0 2.925880-3 3.000000+0 2.858352-3 3.054921+0 2.785458-3 3.090295+0 2.740167-3 3.126079+0 2.695613-3 3.162278+0 2.653262-3 3.198895+0 2.611581-3 3.273407+0 2.530172-3 3.311311+0 2.490441-3 3.388442+0 2.413060-3 3.467369+0 2.338085-3 3.548134+0 2.265442-3 3.589219+0 2.229972-3 3.630781+0 2.195057-3 3.672823+0 2.161780-3 3.715352+0 2.129009-3 3.801894+0 2.064949-3 3.845918+0 2.033658-3 3.981072+0 1.942844-3 4.073803+0 1.884566-3 4.168694+0 1.828037-3 4.265795+0 1.773206-3 4.315191+0 1.746410-3 4.365158+0 1.720829-3 4.415704+0 1.695624-3 4.518559+0 1.646316-3 4.570882+0 1.622211-3 4.677351+0 1.575193-3 4.786301+0 1.529536-3 4.897788+0 1.485205-3 5.011872+0 1.442160-3 5.069907+0 1.421107-3 5.128614+0 1.401035-3 5.188000+0 1.381249-3 5.308844+0 1.342509-3 5.370318+0 1.323556-3 5.495409+0 1.286548-3 5.688529+0 1.232968-3 5.888437+0 1.181621-3 6.095369+0 1.132413-3 6.237348+0 1.100751-3 6.309573+0 1.085650-3 6.456542+0 1.056068-3 6.683439+0 1.013200-3 6.760830+0 9.993054-4 6.839116+0 9.856383-4 7.079458+0 9.457476-4 7.244360+0 9.200556-4 7.413102+0 8.950623-4 7.585776+0 8.707478-4 7.673615+0 8.591675-4 7.852356+0 8.364670-4 8.222427+0 7.928494-4 8.317638+0 7.823087-4 8.511380+0 7.616932-4 8.810489+0 7.317839-4 9.120108+0 7.030499-4 9.332543+0 6.845238-4 9.549926+0 6.664859-4 9.660509+0 6.578569-4 9.885531+0 6.409326-4 1.047129+1 6.005020-4 1.059254+1 5.927299-4 1.096478+1 5.700632-4 1.135011+1 5.482628-4 1.161449+1 5.341947-4 1.188502+1 5.204883-4 1.202264+1 5.137675-4 1.216186+1 5.072771-4 1.258925+1 4.882947-4 1.380384+1 4.410754-4 1.396368+1 4.355051-4 1.445440+1 4.192426-4 1.500000+1 4.024718-4 1.548817+1 3.885173-4 1.584893+1 3.787848-4 1.603245+1 3.740103-4 1.621810+1 3.693982-4 1.640590+1 3.648430-4 1.678804+1 3.559009-4 1.819701+1 3.262940-4 1.840772+1 3.222715-4 1.949845+1 3.029229-4 2.065380+1 2.847362-4 2.137962+1 2.743526-4 2.200000+1 2.660406-4 2.213095+1 2.643479-4 2.238721+1 2.611514-4 2.264644+1 2.579935-4 2.317395+1 2.517919-4 2.540973+1 2.284409-4 2.600160+1 2.229508-4 2.917427+1 1.974523-4 3.090295+1 1.858185-4 3.126079+1 1.835753-4 3.162278+1 1.813592-4 3.198895+1 1.791700-4 3.235937+1 1.770429-4 3.273407+1 1.749410-4 3.589219+1 1.590002-4 3.715352+1 1.534052-4 5.011872+1 1.125020-4 5.308844+1 1.059889-4 5.370318+1 1.047323-4 5.432503+1 1.034906-4 5.495409+1 1.022807-4 5.754399+1 9.758115-5 5.888437+1 9.531334-5 9.332543+1 5.958543-5 1.000000+2 5.553132-5 1.011579+2 5.488301-5 1.023293+2 5.424221-5 1.035142+2 5.360894-5 1.047129+2 5.298836-5 1.059254+2 5.237502-5 1.109175+2 4.999180-5 1.161449+2 4.771724-5 1.862087+2 2.961687-5 1.995262+2 2.762018-5 2.018366+2 2.730074-5 2.041738+2 2.698499-5 2.065380+2 2.667290-5 2.089296+2 2.636576-5 2.113489+2 2.606215-5 2.213095+2 2.488228-5 2.317395+2 2.375590-5 3.715352+2 1.477914-5 3.981072+2 1.378748-5 4.027170+2 1.362880-5 4.073803+2 1.347194-5 4.120975+2 1.331690-5 4.168694+2 1.316424-5 4.216965+2 1.301333-5 8.810489+2 6.221926-6 9.225714+2 5.941508-6 2.951209+3 1.854895-6 6.309573+3 8.668463-7 6.382635+3 8.569123-7 6.456542+3 8.470922-7 6.531306+3 8.373845-7 6.606934+3 8.277984-7 6.683439+3 8.183218-7 1.000000+5 5.467997-8 1 23000 7 0 5.094200+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.630000-6 6.630000-6 9.530000-6 6.630000-6 9.530000-6 9.511860-6 9.610000-6 9.516384-6 9.610000-6 9.553258-6 1.112000-5 9.546769-6 1.496236-5 9.488517-6 2.900000-5 9.492289-6 4.979000-5 9.494072-6 4.979000-5 1.136685-5 5.065000-5 1.131736-5 5.065000-5 1.200626-5 5.308844-5 1.178057-5 5.688529-5 1.140707-5 5.956621-5 1.121796-5 6.194100-5 1.112365-5 6.456542-5 1.109410-5 6.770000-5 1.114411-5 7.079458-5 1.125895-5 7.500000-5 1.147911-5 7.642000-5 1.156402-5 7.642000-5 1.308866-5 8.413951-5 1.358808-5 9.885531-5 1.459310-5 1.083927-4 1.515398-5 1.190000-4 1.566543-5 1.318257-4 1.615156-5 1.500000-4 1.668207-5 1.659587-4 1.705517-5 1.862087-4 1.743453-5 2.137962-4 1.782360-5 2.511886-4 1.821270-5 3.000000-4 1.858146-5 3.630781-4 1.891915-5 4.623810-4 1.929175-5 5.245400-4 1.946831-5 5.245400-4 3.163046-5 5.260000-4 3.218858-5 5.277000-4 3.257499-5 5.305000-4 3.292652-5 5.318800-4 3.302908-5 5.318800-4 3.361964-5 5.352000-4 3.387844-5 5.420000-4 3.405064-5 6.237900-4 3.406208-5 6.237900-4 3.634861-5 1.083927-3 3.762847-5 1.603245-3 3.876847-5 2.290868-3 3.995188-5 3.090295-3 4.103226-5 4.120975-3 4.210576-5 5.439600-3 4.313075-5 5.439600-3 6.255435-5 8.413951-3 6.298547-5 1.621810-2 6.334793-5 4.315191-2 6.359277-5 3.589219-1 6.371421-5 1.000000+5 6.372513-5 1 23000 7 7 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.630000-6 0.0 4.979000-5 0.0 4.979000-5 2.48581-10 5.040000-5 2.44310-10 5.065000-5 2.42034-10 5.065000-5 3.31075-10 5.120000-5 3.25495-10 5.190000-5 3.17149-10 5.559043-5 2.67733-10 5.650000-5 2.56552-10 5.760000-5 2.44487-10 5.850000-5 2.35962-10 5.956621-5 2.27388-10 6.030000-5 2.22562-10 6.110000-5 2.18314-10 6.194100-5 2.15049-10 6.260000-5 2.13176-10 6.350000-5 2.11624-10 6.456542-5 2.11259-10 6.540000-5 2.11982-10 6.650000-5 2.14213-10 6.770000-5 2.17977-10 6.918310-5 2.24424-10 7.079458-5 2.33237-10 7.244360-5 2.43661-10 7.500000-5 2.62424-10 7.642000-5 2.73669-10 7.642000-5 3.71461-10 7.900000-5 3.91258-10 8.413951-5 4.34044-10 9.332543-5 5.11559-10 1.000000-4 5.63955-10 1.060000-4 6.06198-10 1.109200-4 6.37796-10 1.174898-4 6.75041-10 1.244515-4 7.09559-10 1.318257-4 7.41606-10 1.380384-4 7.65580-10 1.480000-4 7.99617-10 1.548817-4 8.20906-10 1.659587-4 8.50935-10 1.778279-4 8.78474-10 1.862087-4 8.95915-10 2.000000-4 9.20226-10 2.187762-4 9.47711-10 2.426610-4 9.76068-10 2.722701-4 1.004024-9 3.090295-4 1.030105-9 3.589219-4 1.055832-9 4.216965-4 1.078847-9 5.000000-4 1.098416-9 5.245400-4 1.103237-9 5.245400-4 4.972715-7 5.254500-4 5.127405-7 5.260000-4 5.200047-7 5.270000-4 5.302069-7 5.282000-4 5.390668-7 5.298000-4 5.473087-7 5.318800-4 5.541928-7 5.318800-4 5.981422-7 5.335000-4 6.072520-7 5.360000-4 6.158109-7 5.393000-4 6.218431-7 5.432503-4 6.250973-7 5.500000-4 6.263876-7 6.237900-4 6.250161-7 6.237900-4 6.457220-7 1.135011-3 6.508355-7 3.388442-3 6.619377-7 5.439600-3 6.687168-7 5.439600-3 1.080964-3 6.683439-3 1.089605-3 9.885531-3 1.099139-3 1.584893-2 1.106058-3 3.311311-2 1.110664-3 1.717908-1 1.112415-3 1.000000+5 1.112575-3 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.630000-6 0.0 9.530000-6 2.900000-6 9.530000-6 1.814005-8 9.570000-6 5.576651-8 9.610000-6 9.361591-8 9.610000-6 5.674189-8 9.685000-6 1.296219-7 9.830000-6 2.717111-7 1.005500-5 4.947767-7 1.044000-5 8.816333-7 1.138000-5 1.838773-6 1.350000-5 3.997517-6 1.710000-5 7.619269-6 4.979000-5 4.029593-5 4.979000-5 3.842290-5 5.065000-5 3.933240-5 5.065000-5 3.864341-5 5.888437-5 4.762547-5 6.456542-5 5.347111-5 7.328245-5 6.189996-5 7.642000-5 6.485571-5 7.642000-5 6.333097-5 1.109200-4 9.563218-5 1.462177-4 1.296340-4 2.264644-4 2.084943-4 5.245400-4 5.050706-4 5.245400-4 4.924123-4 5.318800-4 4.982968-4 5.318800-4 4.976622-4 6.237900-4 5.891029-4 6.237900-4 5.867957-4 5.439600-3 5.395801-3 5.439600-3 4.296081-3 1.380384-2 1.263612-2 1.000000+5 1.000000+5 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 5.439600-3 4.418178+4 5.585000-3 4.155800+4 5.754399-3 3.868697+4 6.400000-3 2.965240+4 7.000000-3 2.350920+4 8.128305-3 1.589945+4 8.800000-3 1.289262+4 1.083927-2 7.343765+3 1.333521-2 4.140469+3 1.566751-2 2.629500+3 1.819701-2 1.715822+3 2.187762-2 1.007302+3 2.660725-2 5.674585+2 3.235937-2 3.173235+2 4.000000-2 1.678252+2 5.069907-2 8.164995+1 6.606934-2 3.620004+1 9.120108-2 1.333216+1 1.445440-1 3.184162+0 1.862087-1 1.454604+0 2.213095-1 8.584439-1 2.570396-1 5.472115-1 2.985383-1 3.513002-1 3.388442-1 2.432442-1 3.801894-1 1.754157-1 4.216965-1 1.316000-1 4.677351-1 9.943229-2 5.188000-1 7.569804-2 5.688529-1 5.980685-2 6.237348-1 4.757522-2 6.839117-1 3.812294-2 7.328245-1 3.246790-2 8.035261-1 2.639970-2 9.015711-1 2.056400-2 9.772372-1 1.735944-2 1.109175+0 1.345865-2 1.216186+0 1.126140-2 1.348963+0 9.283046-3 1.500000+0 7.672188-3 1.678804+0 6.316639-3 1.862087+0 5.318920-3 2.089296+0 4.427343-3 2.371374+0 3.644514-3 2.722701+0 2.970023-3 3.126079+0 2.438913-3 3.630781+0 1.986033-3 4.315191+0 1.580103-3 5.069907+0 1.285781-3 6.237348+0 9.959269-4 7.585776+0 7.878256-4 9.549926+0 6.030178-4 1.202264+1 4.648398-4 1.603245+1 3.383925-4 2.213095+1 2.391736-4 3.198895+1 1.621082-4 5.432503+1 9.363845-5 1.035142+2 4.850584-5 2.065380+2 2.413434-5 4.120975+2 1.204863-5 6.531306+3 7.576498-7 1.000000+5 4.947700-8 1 23000 7 0 5.094200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 5.439600-3 6.522500-5 1.000000+5 6.522500-5 1 23000 7 7 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.439600-3 1.229500-3 1.000000+5 1.229500-3 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.439600-3 4.144875-3 1.000000+5 1.000000+5 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 6.237900-4 1.922496+5 6.800000-4 1.720503+5 7.000000-4 1.645434+5 7.500000-4 1.495650+5 8.709636-4 1.203603+5 1.035142-3 9.173822+4 1.122018-3 8.024187+4 1.303167-3 6.190420+4 1.428894-3 5.245220+4 1.650000-3 4.008760+4 1.840772-3 3.245942+4 2.113489-3 2.466003+4 2.400000-3 1.900094+4 2.722701-3 1.457424+4 3.162278-3 1.054665+4 3.630781-3 7.761099+3 4.168694-3 5.669578+3 4.800000-3 4.084920+3 5.559043-3 2.881822+3 6.456542-3 2.003764+3 7.500000-3 1.382192+3 8.709636-3 9.470562+2 1.011579-2 6.439214+2 1.174898-2 4.347362+2 1.380384-2 2.825959+2 1.621810-2 1.823354+2 1.905461-2 1.168035+2 2.264644-2 7.195045+1 2.691535-2 4.399106+1 3.235937-2 2.582892+1 3.935501-2 1.455083+1 4.841724-2 7.859739+0 6.025596-2 4.069778+0 7.762471-2 1.883196+0 9.885531-2 8.962665-1 1.548817-1 2.248539-1 2.089296-1 9.019680-2 2.454709-1 5.551702-2 2.818383-1 3.686517-2 3.235937-1 2.465510-2 3.630781-1 1.774967-2 4.073803-1 1.287163-2 4.518559-1 9.707795-3 5.011872-1 7.377299-3 5.495409-1 5.818055-3 6.025596-1 4.618759-3 6.606935-1 3.693549-3 7.244360-1 2.974617-3 7.943282-1 2.412937-3 8.709636-1 1.970677-3 9.440609-1 1.661664-3 1.023293+0 1.410509-3 1.148154+0 1.122671-3 1.273503+0 9.212551-4 1.412538+0 7.615836-4 1.566751+0 6.340985-4 1.737801+0 5.316038-4 1.949845+0 4.404129-4 2.213095+0 3.610980-4 2.511886+0 2.981675-4 2.884032+0 2.437795-4 3.311311+0 2.008206-4 3.845918+0 1.639886-4 4.570882+0 1.308139-4 5.370318+0 1.067284-4 6.760830+0 8.057403-5 8.317638+0 6.307841-5 1.059254+1 4.779342-5 1.396368+1 3.511629-5 1.840772+1 2.598649-5 2.600160+1 1.797883-5 3.715352+1 1.237115-5 5.888437+1 7.688587-6 1.161449+2 3.849221-6 2.317395+2 1.916834-6 9.225714+2 4.790703-7 1.000000+5 4.412700-9 1 23000 7 0 5.094200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 6.237900-4 5.355200-5 1.000000+5 5.355200-5 1 23000 7 7 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 6.237900-4 8.015100-7 1.000000+5 8.015100-7 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 6.237900-4 5.694365-4 1.000000+5 1.000000+5 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 5.318800-4 3.333400+5 5.320500-4 3.406300+5 5.323500-4 3.557900+5 5.327000-4 3.722500+5 5.331500-4 3.917100+5 5.335000-4 4.056200+5 5.340000-4 4.240000+5 5.345000-4 4.407000+5 5.352000-4 4.614800+5 5.360000-4 4.823700+5 5.367000-4 4.982100+5 5.375000-4 5.138200+5 5.382000-4 5.256300+5 5.393000-4 5.410300+5 5.405000-4 5.541100+5 5.417000-4 5.638900+5 5.432503-4 5.722700+5 5.450000-4 5.772500+5 5.470000-4 5.786300+5 5.495409-4 5.759600+5 6.000000-4 4.739700+5 6.362600-4 4.112200+5 6.760830-4 3.576500+5 7.585776-4 2.715300+5 8.317638-4 2.162000+5 9.015711-4 1.760400+5 1.035142-3 1.222500+5 1.135011-3 9.539700+4 1.318257-3 6.303100+4 1.462177-3 4.705000+4 1.698244-3 3.058200+4 1.905461-3 2.181300+4 2.187762-3 1.444700+4 2.540973-3 9.162500+3 2.900000-3 6.084500+3 3.311311-3 4.009200+3 3.845918-3 2.485100+3 4.518559-3 1.472300+3 5.308844-3 8.650500+2 6.237348-3 5.040900+2 7.244360-3 3.031300+2 8.413951-3 1.810200+2 9.885531-3 1.031400+2 1.174898-2 5.599500+1 1.412538-2 2.894400+1 1.717908-2 1.423500+1 2.089296-2 6.946100+0 2.600160-2 3.089400+0 3.311311-2 1.251300+0 4.570882-2 3.715000-1 7.585776-2 5.485579-2 9.549926-2 2.314890-2 1.161449-1 1.119526-2 1.364583-1 6.197832-3 1.584893-1 3.604403-3 1.819701-1 2.200927-3 2.065380-1 1.410409-3 2.317395-1 9.476928-4 2.600160-1 6.414501-4 2.917427-1 4.374042-4 3.273407-1 3.005940-4 3.630781-1 2.159263-4 4.027170-1 1.562427-4 4.415705-1 1.179659-4 4.841724-1 8.970247-5 5.308844-1 6.866183-5 5.821032-1 5.290644-5 6.456542-1 3.975182-5 7.079458-1 3.105853-5 7.762471-1 2.445291-5 8.609938-1 1.880168-5 9.120108-1 1.634138-5 9.660509-1 1.429258-5 1.023293+0 1.259383-5 1.096478+0 1.089951-5 1.161449+0 9.721031-6 1.250000+0 8.463692-6 1.364583+0 7.224319-6 1.640590+0 5.253831-6 1.840772+0 4.332942-6 2.044000+0 3.661700-6 2.317395+0 3.015595-6 2.660725+0 2.454363-6 3.054921+0 2.012954-6 3.548134+0 1.637263-6 4.168694+0 1.320974-6 4.897788+0 1.073253-6 5.888437+0 8.537878-7 7.244360+0 6.647926-7 9.120108+0 5.080347-7 1.161449+1 3.860697-7 1.548817+1 2.808004-7 2.137962+1 1.982934-7 3.126079+1 1.326971-7 5.370318+1 7.571644-8 1.023293+2 3.921735-8 2.041738+2 1.951087-8 4.073803+2 9.740465-9 6.456542+3 6.12467-10 1.000000+5 3.95380-11 1 23000 7 0 5.094200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 5.318800-4 3.598700-5 1.000000+5 3.598700-5 1 23000 7 7 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.318800-4 7.743200-7 1.000000+5 7.743200-7 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.318800-4 4.951187-4 1.000000+5 1.000000+5 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 5.245400-4 6.849400+5 5.247000-4 6.990880+5 5.250000-4 7.300360+5 5.254500-4 7.725920+5 5.260000-4 8.195000+5 5.265000-4 8.577360+5 5.270000-4 8.926760+5 5.277000-4 9.363080+5 5.282000-4 9.640480+5 5.290000-4 1.003528+6 5.298000-4 1.037536+6 5.305000-4 1.063244+6 5.315000-4 1.094140+6 5.325200-4 1.119462+6 5.335000-4 1.138664+6 5.350000-4 1.159840+6 5.365000-4 1.172836+6 5.380000-4 1.179400+6 5.400000-4 1.180664+6 5.420000-4 1.175980+6 5.495409-4 1.140276+6 6.456542-4 7.840829+5 6.839116-4 6.849723+5 7.673615-4 5.182052+5 8.413951-4 4.112961+5 9.120108-4 3.338511+5 1.059254-3 2.241451+5 1.161449-3 1.742653+5 1.350000-3 1.144632+5 1.513561-3 8.256748+4 1.737801-3 5.526622+4 2.000000-3 3.643296+4 2.290868-3 2.417555+4 2.630268-3 1.580771+4 3.019952-3 1.025976+4 3.507519-3 6.372364+3 4.073803-3 3.926737+3 4.786301-3 2.311867+3 5.559043-3 1.402942+3 6.500000-3 8.260920+2 7.500000-3 5.053240+2 8.709636-3 3.003138+2 1.023293-2 1.700759+2 1.216186-2 9.170816+1 1.445440-2 4.906026+1 1.717908-2 2.604555+1 2.065380-2 1.316720+1 2.511886-2 6.327604+0 3.090295-2 2.890569+0 3.981072-2 1.099901+0 8.413951-2 6.188000-2 1.035142-1 2.805223-2 1.258925-1 1.339051-2 1.462177-1 7.656581-3 1.678804-1 4.602893-3 1.905461-1 2.907430-3 2.137962-1 1.926905-3 2.371374-1 1.339274-3 2.638800-1 9.269679-4 2.917427-1 6.609816-4 3.198895-1 4.879484-4 3.507519-1 3.627367-4 3.845918-1 2.717102-4 4.216965-1 2.051216-4 4.598600-1 1.586297-4 5.011872-1 1.237782-4 5.432503-1 9.881157-5 5.888437-1 7.944679-5 6.309573-1 6.633371-5 6.839117-1 5.411398-5 7.498942-1 4.321430-5 8.128305-1 3.568938-5 8.810489-1 2.966216-5 9.549926-1 2.481929-5 1.011579+0 2.195509-5 1.122018+0 1.778842-5 1.216186+0 1.522781-5 1.348963+0 1.257487-5 1.500000+0 1.041700-5 1.678804+0 8.579688-6 1.883649+0 7.088966-6 2.113489+0 5.903930-6 2.398833+0 4.862921-6 2.754229+0 3.965676-6 3.162278+0 3.258744-6 3.672823+0 2.655160-6 4.365158+0 2.113576-6 5.128614+0 1.720794-6 6.309573+0 1.333452-6 7.585776+0 1.069711-6 9.549926+0 8.187514-7 1.202264+1 6.311294-7 1.621810+1 4.537256-7 2.238721+1 3.207825-7 3.198895+1 2.201011-7 5.495409+1 1.256411-7 1.047129+2 6.509348-8 2.089296+2 3.239024-8 4.168694+2 1.617196-8 6.606934+3 1.016902-9 1.000000+5 6.71770-11 1 23000 7 0 5.094200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 5.245400-4 3.588500-5 1.000000+5 3.588500-5 1 23000 7 7 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.245400-4 6.708400-7 1.000000+5 6.708400-7 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.245400-4 4.879842-4 1.000000+5 1.000000+5 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 7.642000-5 4.112220+5 7.900000-5 4.004800+5 8.150000-5 3.929940+5 8.511380-5 3.855478+5 9.015711-5 3.790988+5 1.040000-4 3.675780+5 1.109200-4 3.599910+5 1.174898-4 3.506027+5 1.240000-4 3.394820+5 1.303167-4 3.275296+5 1.380384-4 3.122778+5 1.500000-4 2.890840+5 1.659587-4 2.610448+5 1.840772-4 2.334846+5 2.000000-4 2.121340+5 2.187762-4 1.898079+5 2.426610-4 1.656081+5 2.754229-4 1.391441+5 3.090295-4 1.179498+5 3.467369-4 9.918467+4 4.027170-4 7.851451+4 4.570882-4 6.398286+4 5.308844-4 4.980094+4 6.095369-4 3.926381+4 7.161434-4 2.949619+4 8.317638-4 2.245503+4 9.772372-4 1.661343+4 1.150000-3 1.216258+4 1.364583-3 8.696247+3 1.603245-3 6.294907+3 1.900000-3 4.444960+3 2.213095-3 3.229483+3 2.570396-3 2.345031+3 3.000000-3 1.672518+3 3.467369-3 1.209884+3 4.027170-3 8.594361+2 4.677351-3 6.059190+2 5.432503-3 4.240850+2 6.382635-3 2.865215+2 7.498942-3 1.920537+2 8.810489-3 1.277181+2 1.035142-2 8.427189+1 1.216186-2 5.517588+1 1.428894-2 3.585566+1 1.678804-2 2.312896+1 1.995262-2 1.434703+1 2.371374-2 8.832146+0 2.818383-2 5.397538+0 3.349654-2 3.274754+0 4.073803-2 1.843953+0 5.011872-2 9.957400-1 6.309573-2 4.975936-1 8.317638-2 2.145613-1 1.071519-1 9.863550-2 1.603245-1 2.853941-2 2.018366-1 1.414520-2 2.398833-1 8.400238-3 2.786121-1 5.385958-3 3.198895-1 3.599882-3 3.589219-1 2.590194-3 4.027170-1 1.877145-3 4.466836-1 1.414795-3 4.954502-1 1.074103-3 5.432503-1 8.464514-4 6.000000-1 6.595100-4 6.606935-1 5.218690-4 7.244360-1 4.202989-4 7.943282-1 3.409542-4 8.709636-1 2.784669-4 9.440609-1 2.348073-4 1.023293+0 1.993248-4 1.148154+0 1.586492-4 1.273503+0 1.301836-4 1.412538+0 1.076200-4 1.566751+0 8.960358-5 1.737801+0 7.511757-5 1.927525+0 6.339274-5 2.187762+0 5.194408-5 2.483133+0 4.286528-5 2.851018+0 3.502216-5 3.273407+0 2.883235-5 3.801894+0 2.353167-5 4.518559+0 1.876178-5 5.308844+0 1.529937-5 6.683439+0 1.154446-5 8.222427+0 9.034142-6 1.047129+1 6.842503-6 1.380384+1 5.025610-6 1.819701+1 3.718103-6 2.540973+1 2.603261-6 3.589219+1 1.812092-6 5.754399+1 1.112425-6 1.109175+2 5.699460-7 2.213095+2 2.837196-7 8.810489+2 7.089496-8 1.000000+5 6.23560-10 1 23000 7 0 5.094200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 7.642000-5 2.668600-5 1.000000+5 2.668600-5 1 23000 7 7 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 7.642000-5 1.243600-9 1.000000+5 1.243600-9 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 7.642000-5 4.973276-5 1.000000+5 1.000000+5 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 5.065000-5 6.452620+5 5.120000-5 6.268880+5 5.188000-5 6.004153+5 5.270000-5 5.657160+5 5.370318-5 5.224242+5 5.500000-5 4.685620+5 5.754399-5 3.795346+5 5.888437-5 3.429991+5 6.000000-5 3.179880+5 6.110000-5 2.978040+5 6.180000-5 2.870880+5 6.260000-5 2.766900+5 6.350000-5 2.671500+5 6.450000-5 2.589240+5 6.540000-5 2.534120+5 6.650000-5 2.487840+5 6.760830-5 2.461229+5 6.850000-5 2.452120+5 6.950000-5 2.452880+5 7.079458-5 2.468083+5 7.244360-5 2.505616+5 7.413102-5 2.559327+5 7.673615-5 2.661767+5 8.609938-5 3.083610+5 9.015711-5 3.252280+5 9.440609-5 3.407098+5 9.885531-5 3.542374+5 1.023293-4 3.628396+5 1.060000-4 3.700620+5 1.106700-4 3.765510+5 1.150000-4 3.800420+5 1.205000-4 3.814400+5 1.260000-4 3.801040+5 1.318257-4 3.764255+5 1.380384-4 3.705910+5 1.462177-4 3.608007+5 1.548817-4 3.488288+5 1.650000-4 3.337360+5 1.760000-4 3.165720+5 1.862087-4 3.003898+5 1.980000-4 2.818260+5 2.113489-4 2.615506+5 2.264644-4 2.400981+5 2.454709-4 2.157126+5 2.660725-4 1.924149+5 2.884032-4 1.703525+5 3.126079-4 1.496475+5 3.427678-4 1.280203+5 3.758374-4 1.087079+5 4.100000-4 9.253700+4 4.518559-4 7.665686+4 5.000000-4 6.251300+4 5.500000-4 5.126000+4 6.095369-4 4.106086+4 6.839116-4 3.176214+4 7.585776-4 2.503056+4 8.413951-4 1.959666+4 9.332543-4 1.525344+4 1.047129-3 1.146625+4 1.174898-3 8.562375+3 1.318257-3 6.351808+3 1.479108-3 4.682257+3 1.678804-3 3.323875+3 1.905461-3 2.341307+3 2.162719-3 1.636464+3 2.454709-3 1.135057+3 2.786121-3 7.813454+2 3.162278-3 5.338048+2 3.589219-3 3.620061+2 4.073803-3 2.437971+2 4.677351-3 1.571928+2 5.370318-3 1.006159+2 6.237348-3 6.158052+1 7.244360-3 3.740479+1 8.413951-3 2.254801+1 9.772372-3 1.349463+1 1.135011-2 8.018323+0 1.333521-2 4.542699+0 1.584893-2 2.451669+0 1.905461-2 1.259566+0 2.317395-2 6.157285-1 2.884032-2 2.743487-1 3.715352-2 1.067129-1 7.585776-2 7.285514-3 9.660509-2 2.951491-3 1.161449-1 1.492657-3 1.364583-1 8.275813-4 1.584893-1 4.818855-4 1.819701-1 2.945527-4 2.065380-1 1.888672-4 2.344229-1 1.219851-4 2.630268-1 8.256451-5 2.951209-1 5.629890-5 3.273407-1 4.016514-5 3.630781-1 2.885465-5 4.027170-1 2.088226-5 4.466836-1 1.523169-5 4.897788-1 1.158405-5 5.370318-1 8.867200-6 5.888437-1 6.833799-6 6.456542-1 5.305184-6 7.079458-1 4.148855-6 7.762471-1 3.268594-6 8.609938-1 2.510811-6 9.120108-1 2.180245-6 9.660509-1 1.905200-6 1.023293+0 1.677529-6 1.096478+0 1.451135-6 1.161449+0 1.294071-6 1.250000+0 1.126800-6 1.364583+0 9.621147-7 1.659587+0 6.864954-7 1.862087+0 5.665537-7 2.065380+0 4.799537-7 2.344229+0 3.948180-7 2.691535+0 3.215545-7 3.090295+0 2.639009-7 3.589219+0 2.147733-7 4.265795+0 1.707822-7 5.011872+0 1.388952-7 6.095369+0 1.090579-7 7.413102+0 8.619274-8 9.332543+0 6.592181-8 1.188502+1 5.013279-8 1.584893+1 3.648451-8 2.200000+1 2.562700-8 3.162278+1 1.746884-8 5.370318+1 1.008853-8 1.011579+2 5.286734-9 2.018366+2 2.629874-9 4.027170+2 1.312858-9 6.382635+3 8.25481-11 1.000000+5 5.26790-12 1 23000 7 0 5.094200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 5.065000-5 1.862300-5 1.000000+5 1.862300-5 1 23000 7 7 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.065000-5 1.186300-9 1.000000+5 1.186300-9 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.065000-5 3.202581-5 1.000000+5 1.000000+5 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.979000-5 1.315960+6 5.040000-5 1.271108+6 5.110000-5 1.212380+6 5.190000-5 1.141496+6 5.300000-5 1.043872+6 5.650000-5 7.812720+5 5.760000-5 7.196160+5 5.850000-5 6.767000+5 5.956621-5 6.341361+5 6.030000-5 6.096720+5 6.110000-5 5.871200+5 6.194100-5 5.676420+5 6.260000-5 5.551280+5 6.350000-5 5.415360+5 6.456542-5 5.300639+5 6.540000-5 5.241240+5 6.650000-5 5.197760+5 6.770000-5 5.188040+5 6.900000-5 5.213240+5 7.070000-5 5.289080+5 7.244360-5 5.403104+5 7.500000-5 5.612040+5 8.413951-5 6.467149+5 8.810489-5 6.808213+5 9.225714-5 7.121472+5 9.660509-5 7.394845+5 1.000000-4 7.567960+5 1.040000-4 7.726760+5 1.083927-4 7.847223+5 1.135011-4 7.922689+5 1.190000-4 7.937000+5 1.244515-4 7.895071+5 1.303167-4 7.801844+5 1.380384-4 7.626056+5 1.462177-4 7.399308+5 1.548817-4 7.132450+5 1.650000-4 6.801800+5 1.760000-4 6.432280+5 1.862087-4 6.087766+5 1.995262-4 5.648528+5 2.137962-4 5.201335+5 2.317395-4 4.685788+5 2.511886-4 4.191567+5 2.722701-4 3.722461+5 2.951209-4 3.281125+5 3.200000-4 2.869404+5 3.507519-4 2.445972+5 3.850000-4 2.065400+5 4.216965-4 1.737833+5 4.623810-4 1.448331+5 5.128614-4 1.171352+5 5.688529-4 9.399379+4 6.309573-4 7.482616+4 7.000000-4 5.914600+4 7.762471-4 4.648800+4 8.709636-4 3.528855+4 9.772372-4 2.659184+4 1.100000-3 1.973588+4 1.244515-3 1.435425+4 1.420000-3 1.013044+4 1.603245-3 7.294016+3 1.819701-3 5.141294+3 2.041738-3 3.717356+3 2.317395-3 2.581687+3 2.630268-3 1.779306+3 2.985383-3 1.217050+3 3.388442-3 8.260846+2 3.845918-3 5.567200+2 4.415704-3 3.591535+2 5.069907-3 2.299214+2 5.821032-3 1.461279+2 6.760830-3 8.873089+1 7.852356-3 5.347882+1 9.120108-3 3.198687+1 1.059254-2 1.898563+1 1.230269-2 1.118622+1 1.445440-2 6.279892+0 1.717908-2 3.355749+0 2.041738-2 1.779715+0 2.454709-2 8.981670-1 3.019952-2 4.123808-1 3.801894-2 1.722535-1 5.011872-2 5.986684-2 8.511380-2 7.858250-3 1.059254-1 3.415154-3 1.258925-1 1.780906-3 1.462177-1 1.019638-3 1.678804-1 6.132271-4 1.905461-1 3.874821-4 2.137962-1 2.570226-4 2.371374-1 1.787640-4 2.630268-1 1.251845-4 2.917427-1 8.832780-5 3.198895-1 6.523113-5 3.507519-1 4.850918-5 3.845918-1 3.634094-5 4.216965-1 2.743785-5 4.570882-1 2.160237-5 4.954502-1 1.712221-5 5.370318-1 1.367158-5 5.821032-1 1.099226-5 6.309573-1 8.896754-6 6.839117-1 7.248276-6 7.413102-1 5.944721-6 8.128305-1 4.776716-6 8.810489-1 3.969128-6 9.440609-1 3.408799-6 1.011579+0 2.947635-6 1.122018+0 2.390413-6 1.216186+0 2.046245-6 1.348963+0 1.688902-6 1.500000+0 1.398200-6 1.678804+0 1.151476-6 1.883649+0 9.514714-7 2.113489+0 7.924520-7 2.398833+0 6.527267-7 2.754229+0 5.322884-7 3.162278+0 4.373950-7 3.672823+0 3.563779-7 4.365158+0 2.836896-7 5.128614+0 2.309722-7 6.309573+0 1.789808-7 7.673615+0 1.416449-7 9.660509+0 1.084602-7 1.216186+1 8.363025-8 1.640590+1 6.014368-8 2.264644+1 4.253242-8 3.235937+1 2.918947-8 5.495409+1 1.686399-8 1.059254+2 8.635653-9 2.113489+2 4.297362-9 4.216965+2 2.145791-9 6.683439+3 1.34936-10 1.000000+5 9.01680-12 1 23000 7 0 5.094200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.979000-5 1.853700-5 1.000000+5 1.853700-5 1 23000 7 7 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.979000-5 1.200300-9 1.000000+5 1.200300-9 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.979000-5 3.125180-5 1.000000+5 1.000000+5 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 9.610000-6 9.294601+5 1.011579-5 9.861705+5 1.071519-5 1.061925+6 1.318257-5 1.411216+6 1.428894-5 1.567250+6 1.548817-5 1.729183+6 1.678804-5 1.894298+6 1.800000-5 2.037132+6 1.927525-5 2.174283+6 2.041738-5 2.284148+6 2.187762-5 2.405344+6 2.317395-5 2.495713+6 2.454709-5 2.571993+6 2.600160-5 2.630065+6 2.754229-5 2.668626+6 2.900000-5 2.684880+6 3.054921-5 2.682556+6 3.198895-5 2.664626+6 3.350000-5 2.632092+6 3.548134-5 2.573067+6 3.758374-5 2.496270+6 4.000000-5 2.396736+6 4.265795-5 2.280439+6 4.570882-5 2.146076+6 4.900000-5 2.005152+6 5.308844-5 1.839585+6 5.688529-5 1.697032+6 6.095369-5 1.554885+6 6.531306-5 1.414573+6 6.918310-5 1.299294+6 7.328245-5 1.186193+6 7.800000-5 1.067783+6 8.317638-5 9.510094+5 8.912509-5 8.339298+5 9.549926-5 7.262562+5 1.040000-4 6.082020+5 1.150000-4 4.890516+5 1.244515-4 4.093902+5 1.350000-4 3.387972+5 1.480000-4 2.711592+5 1.621810-4 2.153124+5 1.778279-4 1.694535+5 1.950000-4 1.325316+5 2.137962-4 1.031180+5 2.344229-4 7.968953+4 2.570396-4 6.118372+4 2.851018-4 4.516139+4 3.198895-4 3.203203+4 3.589219-4 2.253755+4 4.027170-4 1.573746+4 4.518559-4 1.091412+4 5.069907-4 7.517051+3 5.754399-4 4.949519+3 6.531306-4 3.234699+3 7.328245-4 2.182705+3 8.317638-4 1.405395+3 9.549926-4 8.622793+2 1.083927-3 5.471147+2 1.230269-3 3.446441+2 1.396368-3 2.154895+2 1.584893-3 1.336997+2 1.798871-3 8.229811+1 2.018366-3 5.256961+1 2.264644-3 3.333171+1 2.570396-3 2.003777+1 2.917427-3 1.195355+1 3.311311-3 7.074813+0 3.845918-3 3.775828+0 4.570882-3 1.814551+0 5.821032-3 6.442575-1 6.839116-3 3.208161-1 8.000000-3 1.616436-1 9.332543-3 8.175242-2 1.059254-2 4.641183-2 1.244515-2 2.240271-2 1.496236-2 9.664001-3 1.862087-2 3.529784-3 2.691535-2 6.414507-4 5.370318-2 2.590578-5 6.760830-2 8.942532-6 8.222426-2 3.648078-6 9.549926-2 1.849283-6 1.083927-1 1.047378-6 1.230269-1 5.971936-7 1.396368-1 3.429538-7 1.584893-1 1.984355-7 1.778279-1 1.215424-7 1.972423-1 7.871583-8 2.187762-1 5.138027-8 2.426610-1 3.378784-8 2.691535-1 2.238320-8 2.985383-1 1.493836-8 3.273407-1 1.047589-8 3.589219-1 7.398590-9 3.890451-1 5.493745-9 4.120975-1 4.464100-9 4.518559-1 3.228450-9 5.069907-1 2.172581-9 5.559043-1 1.589840-9 6.025596-1 1.217599-9 6.531306-1 9.40195-10 7.079458-1 7.31618-10 8.035261-1 4.97925-10 8.511380-1 4.20611-10 8.912509-1 3.69437-10 9.332543-1 3.26321-10 9.772372-1 2.90121-10 1.023293+0 2.59850-10 1.071519+0 2.34514-10 1.122018+0 2.13064-10 1.188502+0 1.90466-10 1.273503+0 1.67911-10 1.380384+0 1.45977-10 1.531087+0 1.22667-10 1.778279+0 9.51360-11 1.972423+0 8.02992-11 2.238721+0 6.58850-11 2.570396+0 5.35171-11 2.951209+0 4.38076-11 3.388442+0 3.61308-11 3.981072+0 2.90896-11 4.677351+0 2.35860-11 5.495409+0 1.92628-11 6.839116+0 1.47571-11 8.511380+0 1.14045-11 1.096478+1 8.53542-12 1.445440+1 6.27776-12 1.949845+1 4.53546-12 2.917427+1 2.95656-12 5.011872+1 1.68478-12 9.332543+1 8.92484-13 1.862087+2 4.43677-13 3.715352+2 2.21432-13 2.951209+3 2.77873-14 1.000000+5 8.19440-16 1 23000 7 0 5.094200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 9.610000-6 9.610000-6 1.000000+5 9.610000-6 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 9.610000-6 0.0 1.000000+5 1.000000+5 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 9.530000-6 1.409974+6 1.000000-5 1.489918+6 1.059254-5 1.604103+6 1.288250-5 2.095388+6 1.412538-5 2.361187+6 1.531087-5 2.603776+6 1.659587-5 2.850560+6 1.778279-5 3.061673+6 1.905461-5 3.267872+6 2.041738-5 3.464261+6 2.162719-5 3.615921+6 2.300000-5 3.759930+6 2.426610-5 3.865941+6 2.570396-5 3.956315+6 2.691535-5 4.007833+6 2.818383-5 4.037968+6 2.951209-5 4.047136+6 3.090295-5 4.033316+6 3.273407-5 3.985323+6 3.467369-5 3.906169+6 3.672823-5 3.798197+6 3.900000-5 3.659814+6 4.168694-5 3.484327+6 4.466836-5 3.285147+6 4.800000-5 3.066354+6 5.188000-5 2.825697+6 5.559043-5 2.610172+6 6.000000-5 2.373930+6 6.400000-5 2.176128+6 6.839116-5 1.975489+6 7.300000-5 1.783319+6 7.800000-5 1.593954+6 8.317638-5 1.419769+6 8.912509-5 1.243951+6 9.660509-5 1.058237+6 1.059254-4 8.718482+5 1.150000-4 7.287570+5 1.260000-4 5.930226+5 1.380384-4 4.784852+5 1.496236-4 3.928246+5 1.621810-4 3.204532+5 1.778279-4 2.521471+5 1.995262-4 1.852697+5 2.213095-4 1.392852+5 2.426610-4 1.073314+5 2.691535-4 7.946361+4 3.000000-4 5.764050+4 3.388442-4 3.988819+4 3.801894-4 2.795571+4 4.265795-4 1.944762+4 4.786301-4 1.343170+4 5.432503-4 8.870976+3 6.165950-4 5.813137+3 7.000000-4 3.777228+3 7.943282-4 2.439163+3 9.015711-4 1.562322+3 1.023293-3 9.940425+2 1.161449-3 6.278152+2 1.318257-3 3.935808+2 1.496236-3 2.448679+2 1.698244-3 1.511498+2 1.905461-3 9.680425+1 2.113489-3 6.442598+1 2.371374-3 4.070137+1 2.691535-3 2.437184+1 3.054921-3 1.448127+1 3.507519-3 8.136652+0 4.120975-3 4.116789+0 4.841724-3 2.070590+0 5.688529-3 1.034069+0 6.683439-3 5.127776-1 7.852356-3 2.524851-1 9.225714-3 1.234809-1 1.047129-2 6.995091-2 1.216186-2 3.545108-2 1.445440-2 1.605419-2 1.862087-2 4.984776-3 2.426610-2 1.455100-3 3.198895-2 3.997133-4 5.248075-2 3.922061-5 6.998420-2 1.024349-5 8.317638-2 4.608810-6 9.660509-2 2.322589-6 1.109175-1 1.241601-6 1.258925-1 7.043911-7 1.412538-1 4.239031-7 1.548817-1 2.840915-7 1.717908-1 1.824001-7 1.905461-1 1.179841-7 2.137962-1 7.331992-8 2.344229-1 5.047808-8 2.540973-1 3.665035-8 2.754229-1 2.679290-8 3.000000-1 1.937300-8 3.235937-1 1.464241-8 3.507519-1 1.094709-8 3.801894-1 8.243186-9 4.216965-1 5.771456-9 4.518559-1 4.578732-9 4.841724-1 3.658773-9 5.069907-1 3.166915-9 5.432503-1 2.572999-9 5.821032-1 2.104827-9 6.531306-1 1.518017-9 7.079458-1 1.216052-9 7.673615-1 9.81409-10 8.413951-1 7.74907-10 8.912509-1 6.72517-10 9.440609-1 5.87273-10 1.000000+0 5.16440-10 1.071519+0 4.46373-10 1.135011+0 3.97348-10 1.216186+0 3.48168-10 1.333521+0 2.94127-10 1.479108+0 2.45095-10 1.698244+0 1.93332-10 1.905461+0 1.59822-10 2.137962+0 1.33174-10 2.426610+0 1.09756-10 2.786121+0 8.95675-11 3.198895+0 7.36505-11 3.715352+0 6.00429-11 4.415704+0 4.78213-11 5.188000+0 3.89547-11 6.456542+0 2.97804-11 7.852356+0 2.35891-11 9.885531+0 1.80757-11 1.258925+1 1.37693-11 1.678804+1 1.00369-11 2.317395+1 7.10139-12 3.273407+1 4.93476-12 5.495409+1 2.88552-12 1.059254+2 1.47759-12 2.113489+2 7.35299-13 4.216965+2 3.67141-13 6.683439+3 2.30873-14 1.000000+5 1.54280-15 1 23000 7 0 5.094200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 9.530000-6 9.530000-6 1.000000+5 9.530000-6 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 9.530000-6 0.0 1.000000+5 1.000000+5 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 6.630000-6 1.047841+6 6.850000-6 8.149860+5 7.000000-6 6.852660+5 7.100000-6 6.096920+5 7.244360-6 5.137397+5 7.350000-6 4.520560+5 7.500000-6 3.757620+5 7.600000-6 3.312900+5 7.730000-6 2.801300+5 7.852356-6 2.381867+5 7.960000-6 2.057220+5 8.050000-6 1.814220+5 8.150000-6 1.571704+5 8.240000-6 1.376024+5 8.317638-6 1.222971+5 8.420000-6 1.041606+5 8.520000-6 8.849120+4 8.609938-6 7.597202+4 8.680000-6 6.717040+4 8.740000-6 6.024720+4 8.810489-6 5.279213+4 8.880000-6 4.611300+4 8.940000-6 4.085040+4 9.000000-6 3.602580+4 9.070000-6 3.091660+4 9.120108-6 2.758267+4 9.170000-6 2.451800+4 9.225714-6 2.138012+4 9.280000-6 1.859570+4 9.332543-6 1.614544+4 9.380000-6 1.412828+4 9.420000-6 1.256558+4 9.460000-6 1.112414+4 9.500000-6 9.798500+3 9.535000-6 8.730240+3 9.570000-6 7.744620+3 9.610000-6 6.715260+3 9.650000-6 5.785840+3 9.685000-6 5.051220+3 9.715000-6 4.477980+3 9.750000-6 3.872900+3 9.790000-6 3.262280+3 9.830000-6 2.734660+3 9.910000-6 1.915054+3 9.937000-6 1.705800+3 9.960000-6 1.553190+3 9.980000-6 1.439180+3 1.000000-5 1.342182+3 1.001500-5 1.280388+3 1.002700-5 1.237560+3 1.004200-5 1.192256+3 1.005500-5 1.160244+3 1.007000-5 1.131554+3 1.008500-5 1.111558+3 1.010000-5 1.100120+3 1.011579-5 1.097175+3 1.012700-5 1.100606+3 1.014200-5 1.112408+3 1.015500-5 1.129148+3 1.017000-5 1.155868+3 1.018500-5 1.190394+3 1.020000-5 1.232604+3 1.021500-5 1.282374+3 1.023293-5 1.351585+3 1.025000-5 1.427114+3 1.028000-5 1.582302+3 1.031000-5 1.765170+3 1.040500-5 2.516640+3 1.044000-5 2.855760+3 1.048000-5 3.281720+3 1.052000-5 3.747020+3 1.056000-5 4.249800+3 1.060000-5 4.788260+3 1.063500-5 5.287520+3 1.067000-5 5.811840+3 1.071519-5 6.524225+3 1.075000-5 7.098840+3 1.079000-5 7.785720+3 1.083927-5 8.668809+3 1.088000-5 9.428100+3 1.094000-5 1.059172+4 1.100000-5 1.180554+4 1.107000-5 1.327984+4 1.112000-5 1.436822+4 1.117000-5 1.548374+4 1.123000-5 1.685548+4 1.131000-5 1.873560+4 1.138000-5 2.042360+4 1.146000-5 2.239580+4 1.154000-5 2.440840+4 1.165000-5 2.723100+4 1.176000-5 3.010560+4 1.185000-5 3.248780+4 1.195000-5 3.515880+4 1.207000-5 3.838740+4 1.218000-5 4.136020+4 1.230269-5 4.468053+4 1.245000-5 4.866080+4 1.260000-5 5.269220+4 1.275000-5 5.668880+4 1.290000-5 6.063900+4 1.310000-5 6.581840+4 1.330000-5 7.088060+4 1.350000-5 7.581180+4 1.372000-5 8.107140+4 1.400000-5 8.750040+4 1.430000-5 9.404420+4 1.462177-5 1.006578+5 1.496236-5 1.072003+5 1.531087-5 1.134153+5 1.570000-5 1.197998+5 1.610000-5 1.257810+5 1.659587-5 1.324282+5 1.710000-5 1.383792+5 1.770000-5 1.444950+5 1.830000-5 1.496628+5 1.905461-5 1.549794+5 1.980000-5 1.591148+5 2.070000-5 1.628558+5 2.162719-5 1.655302+5 2.270000-5 1.674234+5 2.400000-5 1.683546+5 2.540973-5 1.680886+5 2.691535-5 1.667643+5 2.884032-5 1.640024+5 3.090295-5 1.601416+5 3.349654-5 1.545259+5 3.630781-5 1.479656+5 3.935501-5 1.406815+5 4.265795-5 1.328722+5 4.650000-5 1.240582+5 5.069907-5 1.149383+5 5.559043-5 1.051002+5 6.025596-5 9.654156+4 6.606934-5 8.697435+4 7.328245-5 7.671635+4 8.128305-5 6.719412+4 9.332543-5 5.585533+4 1.096478-4 4.468155+4 1.333521-4 3.382421+4 2.113489-4 1.732933+4 2.426610-4 1.407085+4 2.786121-4 1.133478+4 3.090295-4 9.583619+3 3.630781-4 7.314634+3 4.731513-4 4.649041+3 5.559043-4 3.504401+3 6.309573-4 2.789894+3 7.673615-4 1.943332+3 9.225714-4 1.375246+3 1.096478-3 9.860050+2 1.303167-3 7.014261+2 1.566751-3 4.838418+2 1.862087-3 3.391005+2 2.213095-3 2.358191+2 2.600160-3 1.667613+2 3.090295-3 1.141090+2 3.589219-3 8.147221+1 4.168694-3 5.773909+1 4.841724-3 4.062188+1 5.623413-3 2.837634+1 6.606934-3 1.913511+1 7.762471-3 1.280255+1 9.120108-3 8.498927+0 1.071519-2 5.598302+0 1.258925-2 3.659509+0 1.479108-2 2.374388+0 1.737801-2 1.529235+0 2.065380-2 9.471140-1 2.454709-2 5.821718-1 2.951209-2 3.436977-1 3.548134-2 2.013081-1 4.315191-2 1.131522-1 5.248075-2 6.313574-2 6.606934-2 3.150821-2 8.810489-2 1.310048-2 1.621810-1 2.006247-3 2.065380-1 9.605292-4 2.426610-1 5.909960-4 2.818383-1 3.791606-4 3.235937-1 2.536063-4 3.630781-1 1.826163-4 4.073803-1 1.324660-4 4.518559-1 9.993144-5 5.011872-1 7.594940-5 5.495409-1 5.991954-5 6.025596-1 4.759247-5 6.606935-1 3.807750-5 7.244360-1 3.068722-5 7.943282-1 2.491518-5 8.709636-1 2.037918-5 9.549926-1 1.680011-5 1.059254+0 1.363966-5 1.174898+0 1.112901-5 1.303167+0 9.145518-6 1.445440+0 7.570196-6 1.603245+0 6.311575-6 1.778279+0 5.299106-6 1.995262+0 4.397401-6 2.264644+0 3.610768-6 2.600160+0 2.934892-6 3.000000+0 2.387300-6 3.467369+0 1.952864-6 4.073803+0 1.573958-6 4.786301+0 1.277474-6 5.688529+0 1.029674-6 7.079458+0 7.898435-7 8.810489+0 6.111636-7 1.135011+1 4.579638-7 1.500000+1 3.362000-7 2.065380+1 2.378400-7 3.090295+1 1.552643-7 5.308844+1 8.857196-8 1.000000+2 4.640900-8 1.995262+2 2.308406-8 3.981072+2 1.152274-8 6.309573+3 7.24520-10 1.000000+5 4.57070-11 1 23000 7 0 5.094200+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 6.630000-6 6.630000-6 1.000000+5 6.630000-6 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 6.630000-6 0.0 1.000000+5 1.000000+5 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.276820-8 1.028750+0 2.276820-7 1.033200+0 1.027730-6 1.034000+0 1.261630-6 1.035300+0 1.712480-6 1.036640+0 2.276820-6 1.038200+0 3.072640-6 1.039700+0 3.991980-6 1.041500+0 5.311280-6 1.043800+0 7.372240-6 1.046400+0 1.025710-5 1.048300+0 1.277040-5 1.051200+0 1.732270-5 1.054080+0 2.276820-5 1.057700+0 3.103440-5 1.061100+0 4.036790-5 1.065100+0 5.344250-5 1.070400+0 7.455750-5 1.076200+0 1.030380-4 1.080600+0 1.286770-4 1.087100+0 1.733720-4 1.093710+0 2.276820-4 1.102600+0 3.156860-4 1.110700+0 4.117310-4 1.120600+0 5.507970-4 1.133300+0 7.658900-4 1.147500+0 1.057510-3 1.158200+0 1.314220-3 1.174100+0 1.756400-3 1.190110+0 2.276820-3 1.205100+0 2.833450-3 1.227500+0 3.791490-3 1.250000+0 4.902000-3 1.280300+0 6.619290-3 1.307700+0 8.378600-3 1.343000+0 1.091420-2 1.382200+0 1.405640-2 1.433800+0 1.867290-2 1.500000+0 2.535000-2 1.562500+0 3.241840-2 1.617200+0 3.918660-2 1.712900+0 5.221870-2 1.784700+0 6.286780-2 1.892300+0 7.995640-2 2.000000+0 9.804000-2 2.044000+0 1.056000-1 2.163500+0 1.264250-1 2.372600+0 1.633560-1 2.529500+0 1.910630-1 2.764700+0 2.321900-1 3.000000+0 2.728000-1 3.437500+0 3.467260-1 4.000000+0 4.373000-1 4.750000+0 5.480320-1 5.000000+0 5.828000-1 6.000000+0 7.126000-1 7.000000+0 8.280000-1 8.000000+0 9.318000-1 9.000000+0 1.026000+0 1.000000+1 1.111000+0 1.100000+1 1.188000+0 1.200000+1 1.259000+0 1.300000+1 1.325000+0 1.400000+1 1.386000+0 1.500000+1 1.443000+0 1.600000+1 1.496000+0 1.800000+1 1.594000+0 2.000000+1 1.681000+0 2.200000+1 1.760000+0 2.400000+1 1.832000+0 2.600000+1 1.898000+0 2.800000+1 1.958000+0 3.000000+1 2.014000+0 4.000000+1 2.242000+0 5.000000+1 2.413000+0 6.000000+1 2.546000+0 8.000000+1 2.744000+0 1.000000+2 2.887000+0 1.500000+2 3.117000+0 2.000000+2 3.257000+0 3.000000+2 3.422000+0 4.000000+2 3.519000+0 5.000000+2 3.582000+0 6.000000+2 3.628000+0 8.000000+2 3.689000+0 1.000000+3 3.729000+0 1.500000+3 3.787000+0 2.000000+3 3.818000+0 3.000000+3 3.853000+0 4.000000+3 3.871000+0 5.000000+3 3.883000+0 6.000000+3 3.891000+0 8.000000+3 3.901000+0 1.000000+4 3.908000+0 1.500000+4 3.917000+0 2.000000+4 3.922000+0 3.000000+4 3.928000+0 4.000000+4 3.930000+0 5.000000+4 3.932000+0 6.000000+4 3.933000+0 8.000000+4 3.935000+0 1.000000+5 3.936000+0 1 23000 7 8 5.094200+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 2.309610-7 2.114000+0 1.041170-6 2.119500+0 1.296250-6 2.127900+0 1.757970-6 2.136250+0 2.309610-6 2.147000+0 3.166640-6 2.156900+0 4.113080-6 2.169000+0 5.489160-6 2.184500+0 7.630120-6 2.201800+0 1.055650-5 2.214800+0 1.315260-5 2.234200+0 1.769250-5 2.253680+0 2.309610-5 2.281500+0 3.235020-5 2.307000+0 4.249190-5 2.338200+0 5.713400-5 2.377400+0 7.912390-5 2.410200+0 1.006320-4 2.446800+0 1.280100-4 2.485900+0 1.611720-4 2.532900+0 2.062650-4 2.556430+0 2.309610-4 2.611900+0 2.945000-4 2.660400+0 3.560330-4 2.745300+0 4.765240-4 2.809000+0 5.770960-4 2.904500+0 7.434280-4 3.000000+0 9.280000-4 3.125000+0 1.196660-3 3.234400+0 1.456130-3 3.425800+0 1.961040-3 3.569300+0 2.378140-3 3.784700+0 3.057500-3 4.000000+0 3.788000-3 4.250000+0 4.681340-3 4.625000+0 6.085910-3 5.000000+0 7.547000-3 5.500000+0 9.554190-3 6.000000+0 1.159000-2 6.750000+0 1.462180-2 7.000000+0 1.562000-2 8.000000+0 1.953000-2 9.000000+0 2.328000-2 1.000000+1 2.684000-2 1.100000+1 3.022000-2 1.200000+1 3.341000-2 1.300000+1 3.642000-2 1.400000+1 3.929000-2 1.500000+1 4.201000-2 1.600000+1 4.460000-2 1.800000+1 4.940000-2 2.000000+1 5.379000-2 2.200000+1 5.782000-2 2.400000+1 6.154000-2 2.600000+1 6.497000-2 2.800000+1 6.817000-2 3.000000+1 7.116000-2 4.000000+1 8.361000-2 5.000000+1 9.318000-2 6.000000+1 1.009000-1 8.000000+1 1.126000-1 1.000000+2 1.212000-1 1.500000+2 1.358000-1 2.000000+2 1.452000-1 3.000000+2 1.568000-1 4.000000+2 1.639000-1 5.000000+2 1.689000-1 6.000000+2 1.725000-1 8.000000+2 1.776000-1 1.000000+3 1.811000-1 1.500000+3 1.863000-1 2.000000+3 1.892000-1 3.000000+3 1.925000-1 4.000000+3 1.945000-1 5.000000+3 1.957000-1 6.000000+3 1.965000-1 8.000000+3 1.976000-1 1.000000+4 1.983000-1 1.500000+4 1.993000-1 2.000000+4 1.999000-1 3.000000+4 2.005000-1 4.000000+4 2.008000-1 5.000000+4 2.010000-1 6.000000+4 2.011000-1 8.000000+4 2.013000-1 1.000000+5 2.014000-1 1 23000 7 8 5.094200+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 23000 7 9 5.094200+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 2.300000+1 1.000000+5 2.300000+1 5.000000+5 2.298500+1 1.000000+6 2.295900+1 1.500000+6 2.292200+1 2.000000+6 2.286200+1 2.375000+6 2.280640+1 2.500000+6 2.278600+1 2.875000+6 2.271920+1 3.000000+6 2.269500+1 3.500000+6 2.258800+1 4.000000+6 2.247300+1 4.500000+6 2.234470+1 5.000000+6 2.220800+1 5.500000+6 2.205630+1 5.875000+6 2.193680+1 6.000000+6 2.189710+1 6.437500+6 2.174990+1 7.000000+6 2.155700+1 7.687500+6 2.131120+1 8.437500+6 2.104000+1 8.500000+6 2.101670+1 9.000000+6 2.083300+1 9.750000+6 2.055190+1 1.000000+7 2.046000+1 1.109400+7 2.005170+1 1.187500+7 1.976360+1 1.250000+7 1.953500+1 1.437500+7 1.885750+1 1.500000+7 1.863900+1 1.750000+7 1.779800+1 2.000000+7 1.699300+1 2.250000+7 1.620780+1 2.500000+7 1.544700+1 2.750000+7 1.471050+1 2.875000+7 1.435150+1 3.000000+7 1.400100+1 3.250000+7 1.331980+1 3.437500+7 1.283220+1 3.625000+7 1.236730+1 4.000000+7 1.150300+1 4.500000+7 1.048850+1 5.000000+7 9.634000+0 5.500000+7 8.924350+0 5.750000+7 8.618180+0 6.000000+7 8.341500+0 6.750000+7 7.663290+0 7.000000+7 7.476700+0 8.000000+7 6.868300+0 9.000000+7 6.383400+0 9.750000+7 6.052560+0 1.000000+8 5.946000+0 1.085900+8 5.583600+0 1.144500+8 5.339190+0 1.214800+8 5.047430+0 1.250000+8 4.902000+0 1.312500+8 4.644950+0 1.394500+8 4.317450+0 1.464800+8 4.048430+0 1.500000+8 3.919100+0 1.562500+8 3.698020+0 1.671900+8 3.339770+0 1.750000+8 3.106350+0 1.753900+8 3.095240+0 1.877000+8 2.764900+0 2.000000+8 2.475500+0 2.171900+8 2.137660+0 2.289100+8 1.957710+0 2.375000+8 1.851640+0 2.381300+8 1.844650+0 2.460400+8 1.766730+0 2.500000+8 1.734000+0 3.000000+8 1.469100+0 3.062500+8 1.433090+0 3.390600+8 1.249430+0 3.500000+8 1.204200+0 3.617200+8 1.168280+0 3.835900+8 1.120120+0 4.000000+8 1.087900+0 4.179700+8 1.048260+0 4.330100+8 1.012620+0 4.569300+8 9.544940-1 4.856400+8 8.870470-1 5.000000+8 8.554000-1 5.343800+8 7.854470-1 5.578100+8 7.405360-1 5.859400+8 6.878840-1 6.000000+8 6.618000-1 6.250000+8 6.160900-1 6.718800+8 5.407380-1 7.000000+8 5.051000-1 7.625000+8 4.454300-1 7.812500+8 4.281410-1 8.000000+8 4.099000-1 8.183600+8 3.907910-1 8.352100+8 3.726020-1 8.558000+8 3.502300-1 8.822400+8 3.220760-1 9.116800+8 2.924260-1 1.000000+9 2.195000-1 1.062500+9 1.824930-1 1.117200+9 1.572420-1 1.356400+9 8.920180-2 1.452100+9 7.263890-2 1.500000+9 6.569200-2 1.562500+9 5.770230-2 1.671900+9 4.622880-2 1.753900+9 3.934540-2 1.877000+9 3.116160-2 2.000000+9 2.496200-2 2.275400+9 1.579940-2 2.528100+9 1.081940-2 2.837100+9 7.113900-3 3.233600+9 4.399380-3 3.864500+9 2.270330-3 5.000000+9 8.656500-4 8.000000+9 1.486300-4 9.500000+9 7.837240-5 1.00000+10 6.480600-5 1.20500+10 3.265830-5 1.41820+10 1.806940-5 1.71170+10 9.192410-6 2.01490+10 5.148580-6 2.26440+10 3.411730-6 2.74790+10 1.735360-6 3.20120+10 1.023200-6 3.62610+10 6.669530-7 4.42280+10 3.391190-7 5.12000+10 2.068860-7 6.34000+10 1.011600-7 7.94120+10 4.795560-8 1.00000+11 2.249200-8 1.17140+11 1.343150-8 1.55940+11 5.325870-9 2.04410+11 2.239490-9 2.99030+11 6.71528-10 4.21500+11 2.29365-10 7.29680+11 4.21129-11 1.17140+12 9.95730-12 2.36600+12 1.20380-12 6.03280+12 7.53774-14 1.00000+14 2.09620-17 5.62340+14 1.31301-19 7.49890+15 5.95191-23 1.00000+17 2.54920-26 1 23000 7 0 5.094200+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 5.90000-12 1.000000+2 5.90000-10 1.000000+3 5.900000-8 1.000000+4 5.900000-6 1.000000+5 5.900000-4 5.000000+5 1.475000-2 1.000000+6 5.900000-2 1.500000+6 1.307000-1 2.000000+6 2.287000-1 2.375000+6 3.180470-1 2.500000+6 3.506000-1 2.875000+6 4.557620-1 3.000000+6 4.932000-1 3.500000+6 6.533790-1 4.000000+6 8.279000-1 4.500000+6 1.013140+0 5.000000+6 1.206000+0 5.500000+6 1.403170+0 5.875000+6 1.552250+0 6.000000+6 1.602000+0 6.437500+6 1.775770+0 7.000000+6 1.996400+0 7.687500+6 2.258940+0 8.437500+6 2.534540+0 8.500000+6 2.556850+0 9.000000+6 2.732900+0 9.750000+6 2.985520+0 1.000000+7 3.067000+0 1.109400+7 3.408120+0 1.187500+7 3.639570+0 1.250000+7 3.819600+0 1.437500+7 4.339930+0 1.500000+7 4.510000+0 1.750000+7 5.184900+0 2.000000+7 5.858000+0 2.250000+7 6.521960+0 2.500000+7 7.167300+0 2.750000+7 7.785630+0 2.875000+7 8.083660+0 3.000000+7 8.375000+0 3.250000+7 8.934420+0 3.437500+7 9.335580+0 3.625000+7 9.722360+0 4.000000+7 1.045400+1 4.500000+7 1.134950+1 5.000000+7 1.215600+1 5.500000+7 1.287580+1 5.750000+7 1.320370+1 6.000000+7 1.351400+1 6.750000+7 1.433290+1 7.000000+7 1.457400+1 8.000000+7 1.541300+1 9.000000+7 1.611100+1 9.750000+7 1.657410+1 1.000000+8 1.672100+1 1.085900+8 1.719750+1 1.144500+8 1.749980+1 1.214800+8 1.784460+1 1.250000+8 1.801000+1 1.312500+8 1.828840+1 1.394500+8 1.863230+1 1.464800+8 1.890380+1 1.500000+8 1.903200+1 1.562500+8 1.924720+1 1.671900+8 1.958690+1 1.750000+8 1.980450+1 1.753900+8 1.981490+1 1.877000+8 2.011820+1 2.000000+8 2.037900+1 2.171900+8 2.068080+1 2.289100+8 2.085430+1 2.375000+8 2.096730+1 2.381300+8 2.097540+1 2.460400+8 2.107010+1 2.500000+8 2.111600+1 3.000000+8 2.156900+1 3.062500+8 2.161380+1 3.390600+8 2.183050+1 3.500000+8 2.189600+1 3.617200+8 2.195970+1 3.835900+8 2.207370+1 4.000000+8 2.215200+1 4.179700+8 2.222990+1 4.330100+8 2.229030+1 4.569300+8 2.237890+1 4.856400+8 2.247160+1 5.000000+8 2.251500+1 5.343800+8 2.260190+1 5.578100+8 2.265350+1 5.859400+8 2.270810+1 6.000000+8 2.273200+1 6.250000+8 2.276740+1 6.718800+8 2.282450+1 7.000000+8 2.285300+1 7.625000+8 2.289760+1 7.812500+8 2.290930+1 8.000000+8 2.291900+1 8.183600+8 2.292590+1 8.352100+8 2.293200+1 8.558000+8 2.293940+1 8.822400+8 2.294860+1 9.116800+8 2.295700+1 1.000000+9 2.297400+1 1.062500+9 2.297970+1 1.117200+9 2.298440+1 1.356400+9 2.299530+1 1.452100+9 2.299710+1 1.500000+9 2.299800+1 1.562500+9 2.299830+1 1.671900+9 2.299880+1 1.753900+9 2.299910+1 1.877000+9 2.299960+1 2.000000+9 2.300000+1 2.275400+9 2.300000+1 2.528100+9 2.300000+1 2.837100+9 2.300000+1 3.233600+9 2.300000+1 3.864500+9 2.300000+1 5.000000+9 2.300000+1 8.000000+9 2.300000+1 9.500000+9 2.300000+1 1.00000+10 2.300000+1 1.20500+10 2.300000+1 1.41820+10 2.300000+1 1.71170+10 2.300000+1 2.01490+10 2.300000+1 2.26440+10 2.300000+1 2.74790+10 2.300000+1 3.20120+10 2.300000+1 3.62610+10 2.300000+1 4.42280+10 2.300000+1 5.12000+10 2.300000+1 6.34000+10 2.300000+1 7.94120+10 2.300000+1 1.00000+11 2.300000+1 1.17140+11 2.300000+1 1.55940+11 2.300000+1 2.04410+11 2.300000+1 2.99030+11 2.300000+1 4.21500+11 2.300000+1 7.29680+11 2.300000+1 1.17140+12 2.300000+1 2.36600+12 2.300000+1 6.03280+12 2.300000+1 1.00000+14 2.300000+1 5.62340+14 2.300000+1 7.49890+15 2.300000+1 1.00000+17 2.300000+1 1 23000 7 0 5.094200+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.005094-6 0.0 3.081581-6 0.0 3.094854-6 3.282276+0 3.096751-6 3.746388+0 3.104336-6 6.843085+0 3.108166-6 9.211659+0 3.111920-6 1.340502+1 3.119505-6 2.356322+1 3.124423-6 3.139085+1 3.132074-6 4.622413+1 3.141517-6 6.852625+1 3.154069-6 1.004117+2 3.162197-6 1.179573+2 3.170180-6 1.293136+2 3.177415-6 1.329596+2 3.185372-6 1.280652+2 3.193695-6 1.141136+2 3.204289-6 8.785971+1 3.215271-6 5.800340+1 3.222922-6 3.968536+1 3.230572-6 2.459702+1 3.233279-6 2.047977+1 3.238222-6 1.423694+1 3.245873-6 7.831858+0 3.257348-6 1.990890+0 3.261174-6 0.0 4.334999-6 0.0 4.345670-6 5.24983-15 4.356340-6 1.03880-14 4.367010-6 1.89745-14 4.377680-6 3.19936-14 4.388350-6 4.97977-14 4.399020-6 7.15501-14 4.409690-6 9.48997-14 4.420360-6 1.16191-13 4.431030-6 1.31321-13 4.441700-6 1.37010-13 4.452370-6 1.31954-13 4.463040-6 1.17313-13 4.473710-6 9.62775-14 4.495050-6 5.10085-14 4.505720-6 3.29293-14 4.516390-6 1.96235-14 4.527060-6 1.07951-14 4.537730-6 5.48185-15 4.548401-6 0.0 4.994692-6 0.0 5.013133-6 6.819460-2 5.019280-6 9.063864-2 5.031573-6 1.655666-1 5.043867-6 2.791708-1 5.056161-6 4.345321-1 5.093042-6 1.013926+0 5.105336-6 1.145981+0 5.117630-6 1.195651+0 5.129924-6 1.151562+0 5.142218-6 1.023825+0 5.179099-6 4.452276-1 5.191393-6 2.874414-1 5.203687-6 1.713070-1 5.215980-6 9.424548-2 5.234421-6 2.396927-2 5.240568-6 1.857650-5 5.250893-6 1.018384-5 5.262759-6 2.423176-7 5.263240-6 0.0 5.639413-6 0.0 5.642731-6 2.41392-12 5.670509-6 1.784258-2 5.684398-6 3.259125-2 5.698287-6 5.495391-2 5.712176-6 8.553630-2 5.753842-6 1.995870-1 5.767731-6 2.255807-1 5.781620-6 2.353564-1 5.795509-6 2.266755-1 5.809398-6 2.015292-1 5.851064-6 8.763292-2 5.864953-6 5.657444-2 5.878842-6 3.371541-2 5.892731-6 1.854777-2 5.917814-6 1.832715-3 5.920509-6 2.351586-6 5.929029-6 4.004645-8 5.929274-6 2.93578-13 5.930108-6 3.02983-13 5.959300-6 4.238530-1 5.973897-6 7.745514-1 5.984505-6 1.168193+0 5.989016-6 1.377627+0 6.006146-6 2.406546+0 6.024086-6 3.759624+0 6.054421-6 6.219778+0 6.066186-6 7.017561+0 6.081200-6 7.704005+0 6.092876-6 7.967484+0 6.109564-6 7.780361+0 6.123300-6 7.261867+0 6.141703-6 6.138351+0 6.179607-6 3.377606+0 6.194138-6 2.442968+0 6.213316-6 1.435792+0 6.219197-6 1.142457+0 6.222341-6 1.014833+0 6.233924-6 7.038573-1 6.248652-6 4.291111-1 6.263380-6 2.530595-1 6.276416-6 1.079639-1 6.278165-6 9.077293-2 6.306094-6 4.212202-2 6.342498-6 3.855325-2 6.516217-6 3.327165-2 6.545558-6 3.484329-2 6.568373-6 3.822443-2 6.587897-6 4.317937-2 6.615638-6 5.390544-2 6.662962-6 7.395129-2 6.694867-6 8.290360-2 6.727886-6 8.658775-2 6.782844-6 8.509606-2 7.062434-6 6.451108-2 7.333100-6 4.853827-2 7.603585-6 3.595542-2 7.838242-6 2.730321-2 7.896664-6 2.542552-2 7.935537-6 6.221482-2 7.954974-6 9.301888-2 7.974410-6 1.400360-1 7.996231-6 2.142362-1 8.050463-6 4.388913-1 8.074190-6 5.031406-1 8.093680-6 5.181307-1 8.113170-6 4.942404-1 8.132660-6 4.367825-1 8.190655-6 1.956006-1 8.207650-6 1.374012-1 8.227109-6 8.827137-2 8.246523-6 5.560994-2 8.285396-6 1.529476-2 8.461345-6 1.185628-2 8.502998-6 1.538701-2 8.523824-6 1.855822-2 8.544703-6 2.378553-2 8.565735-6 3.912531-2 8.586766-6 5.606731-2 8.607798-6 7.911761-2 8.628830-6 1.082667-1 8.691925-6 2.125742-1 8.712957-6 2.393550-1 8.733988-6 2.537623-1 8.755020-6 2.524037-1 8.776052-6 2.360733-1 8.803402-6 1.955733-1 8.842610-6 1.281021-1 8.862076-6 1.032511-1 8.881210-6 8.512777-2 8.902242-6 7.747255-2 8.923274-6 7.999902-2 8.966408-6 1.044728-1 9.002515-6 1.371915-1 9.026317-6 1.548600-1 9.042568-6 1.630593-1 9.064770-6 1.675968-1 9.130945-6 1.578022-1 9.169085-6 1.504998-1 9.200781-6 1.519877-1 9.392409-6 1.723688-1 9.454038-6 1.883043-1 9.513450-6 2.216606-1 9.620148-6 2.902819-1 9.676704-6 3.144788-1 9.766335-6 3.327973-1 1.114497-5 4.556078-1 1.200985-5 5.487634-1 1.386000-5 7.728724-1 1.778279-5 1.327008+0 2.522830-5 2.413947+0 3.014653-5 2.967087+0 3.561111-5 3.346186+0 3.921497-5 3.483541+0 3.929500-5 3.940863+0 3.944823-5 1.273845+1 3.948844-5 1.513383+1 3.958516-5 2.453084+1 3.968188-5 3.860946+1 3.980617-5 6.421924+1 3.998715-5 1.083962+2 4.008496-5 1.293451+2 4.019217-5 1.461089+2 4.029235-5 1.507506+2 4.039415-5 1.456406+2 4.065747-5 1.118719+2 4.077561-5 9.966970+1 4.092344-5 9.105272+1 4.108393-5 8.350818+1 4.117766-5 7.528740+1 4.123928-5 6.769867+1 4.128126-5 6.399294+1 4.156492-5 3.042761+1 4.166358-5 2.089855+1 4.176225-5 1.388590+1 4.186091-5 9.233520+0 4.205824-5 3.546045+0 4.645531-5 3.590808+0 4.679495-5 3.764617+0 4.702362-5 4.048432+0 4.748131-5 4.867028+0 4.771334-5 5.028825+0 4.811150-5 4.988636+0 4.861190-5 5.146826+0 4.949755-5 4.984567+0 5.432504-5 4.671171+0 6.027500-5 4.274800+0 6.853106-5 4.055788+0 7.124587-5 4.032751+0 7.177196-5 4.183181+0 7.234101-5 4.644861+0 7.282944-5 5.064914+0 7.318621-5 5.052221+0 7.406994-5 4.307104+0 7.443371-5 4.181128+0 7.504530-5 4.172187+0 7.772504-5 4.453100+0 1.150000-4 4.582018+0 1.496236-4 4.405995+0 2.921134-4 3.105262+0 3.756292-4 2.514390+0 4.772577-4 1.989056+0 5.026323-4 1.892885+0 5.051067-4 4.771469+0 5.063485-4 7.170800+0 5.075848-4 1.078892+1 5.089728-4 1.648913+1 5.104999-4 2.439516+1 5.126232-4 3.619766+1 5.142794-4 4.263442+1 5.155715-4 4.524696+1 5.168113-4 4.551148+1 5.183895-4 4.324264+1 5.209747-4 3.668052+1 5.274591-4 1.833046+1 5.290000-4 1.600344+1 5.299630-4 1.483961+1 5.311250-4 1.394880+1 5.323753-4 1.351190+1 5.351552-4 1.340326+1 5.393000-4 1.459438+1 5.447021-4 1.512249+1 5.692495-4 1.454766+1 6.087974-4 1.340509+1 6.180824-4 1.389772+1 6.274239-4 1.441086+1 7.802642-4 1.108323+1 9.292338-4 8.729965+0 1.071520-3 7.107339+0 1.238771-3 5.711275+0 1.417362-3 4.640432+0 1.628827-3 3.723637+0 1.841855-3 3.053676+0 2.095879-3 2.470799+0 2.358717-3 2.029275+0 2.656283-3 1.660641+0 2.992305-3 1.354630+0 3.365168-3 1.105731+0 3.788070-3 8.993142-1 4.235782-3 7.387931-1 4.757844-3 6.012840-1 5.285508-3 4.990257-1 5.315832-3 5.075493-1 5.335412-3 5.398223-1 5.349130-3 5.911054-1 5.361041-3 6.677457-1 5.372467-3 7.793801-1 5.383145-3 9.255877-1 5.395764-3 1.153660+0 5.413333-3 1.569970+0 5.456941-3 2.794984+0 5.479152-3 3.281902+0 5.497511-3 3.544802+0 5.527766-3 3.742503+0 5.600191-3 3.754764+0 6.558395-3 2.950190+0 7.459884-3 2.391770+0 8.510112-3 1.924498+0 9.592690-3 1.569465+0 1.071774-2 1.297051+0 1.184302-2 1.087035+0 1.310468-2 9.079724-1 1.468184-2 7.384658-1 1.620896-2 6.156398-1 1.797858-2 5.074714-1 2.014171-2 4.092105-1 2.243470-2 3.332900-1 2.490068-2 2.723661-1 2.773782-2 2.206134-1 3.041392-2 1.839908-1 3.372017-2 1.498370-1 3.722973-2 1.228333-1 4.126910-2 9.977959-2 4.531858-2 8.243910-2 5.016624-2 6.696440-2 5.564992-2 5.404471-2 6.137093-2 4.411414-2 6.806433-2 3.555658-2 7.520074-2 2.885979-2 8.263256-2 2.366605-2 9.037953-2 1.960901-2 9.984804-2 1.589920-2 1.092719-1 1.313991-2 1.195579-1 1.087189-2 1.309079-1 8.973639-3 1.438691-1 7.355175-3 1.586890-1 5.988702-3 1.734991-1 4.971173-3 1.901578-1 4.106464-3 2.083577-1 3.403926-3 2.267880-1 2.863313-3 2.475996-1 2.399267-3 2.700568-1 2.019692-3 2.970445-1 1.676435-3 3.268465-1 1.397328-3 3.562004-1 1.189553-3 3.942498-1 9.897387-4 4.388779-1 8.203060-4 4.847388-1 6.943952-4 5.404263-1 5.829298-4 5.980242-1 4.997044-4 6.824767-1 4.138159-4 7.740810-1 3.514720-4 8.810489-1 3.012732-4 1.022000+0 2.564221-4 1.228714+0 2.120483-4 1.477239+0 1.753534-4 1.776032+0 1.450085-4 2.135261+0 1.199148-4 2.567148+0 9.916355-5 3.086391+0 8.200331-5 3.710658+0 6.781265-5 4.461192+0 5.607768-5 5.363532+0 4.637344-5 6.448384+0 3.834852-5 7.752663+0 3.171232-5 9.320751+0 2.622450-5 9.760024+0 2.500789-5 1.000000+1 4.962502-5 1 23000 7 0 5.094200+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-2.277769+1 2.016610-6-2.163744+1 2.460802-6-1.997276+1 2.672006-6-1.811315+1 2.784968-6-1.627428+1 2.866775-6-1.408047+1 2.915649-6-1.208748+1 2.953402-6-9.917837+0 2.982566-6-7.620868+0 2.999995-6-5.851366+0 3.014356-6-4.073357+0 3.022759-6-2.857208+0 3.030112-6-1.659750+0 3.036546-6-4.893997-1 3.042175-6 6.462584-1 3.047101-6 1.740636+0 3.051411-6 2.788246+0 3.058482-6 4.726999+0 3.061369-6 5.612905+0 3.066422-6 7.326519+0 3.073054-6 9.986169+0 3.078383-6 1.264005+1 3.081581-6 1.474684+1 3.094854-6 2.357276+1 3.104336-6 3.197698+1 3.113817-6 4.271685+1 3.126097-6 5.231419+1 3.133747-6 5.546715+1 3.141517-6 5.436428+1 3.146861-6 5.030269+1 3.152042-6 4.365948+1 3.158850-6 3.019445+1 3.161360-6 2.396279+1 3.162197-6 2.137716+1 3.166680-6 8.978965+0 3.167856-6 5.460464+0 3.168613-6 3.032809+0 3.168991-6 1.730424+0 3.169180-6 1.036762+0 3.169369-6 2.612040-1 3.169489-6-2.467119-1 3.169724-6-1.130656+0 3.170180-6-2.723939+0 3.171035-6-5.546474+0 3.175677-6-2.052392+1 3.176406-6-2.296879+1 3.177415-6-1.880951+1 3.184670-6 5.701158+0 3.184909-6 6.693836+0 3.185372-6 8.365185+0 3.187001-6 1.357543+1 3.193695-6 3.294374+1 3.196441-6 3.939621+1 3.200927-6 4.857705+1 3.205662-6 5.541817+1 3.211217-6 6.016697+1 3.215271-6 6.128837+1 3.222922-6 5.948274+1 3.230572-6 5.373080+1 3.239179-6 4.398243+1 3.248503-6 3.458435+1 3.260217-6 2.485361+1 3.263270-6 2.154199+1 3.269537-6 1.716384+1 3.273695-6 1.491342+1 3.281970-6 1.128695+1 3.290181-6 8.433113+0 3.298328-6 6.100428+0 3.306411-6 4.146035+0 3.314431-6 2.478747+0 3.322404-6 1.033605+0 3.330315-6-2.307232-1 3.338164-6-1.347454+0 3.345952-6-2.341845+0 3.353679-6-3.233525+0 3.368952-6-4.767796+0 3.391418-6-6.601731+0 3.420617-6-8.455185+0 3.462813-6-1.044123+1 3.528856-6-1.257211+1 3.613547-6-1.434895+1 3.757917-6-1.617825+1 4.015029-6-1.788519+1 4.548401-6-1.946349+1 5.013133-6-2.060452+1 5.087415-6-2.076030+1 5.163992-6-1.959920+1 5.353200-6-2.037122+1 5.864953-6-2.188713+1 5.938345-6-2.315372+1 6.013064-6-2.104477+1 6.042974-6-2.148117+1 6.070475-6-2.309166+1 6.126479-6-1.771592+1 6.149833-6-1.630375+1 6.176890-6-1.564661+1 6.219197-6-1.628271+1 6.287766-6-1.810080+1 6.397580-6-1.916727+1 6.782844-6-2.008216+1 8.068258-6-2.092610+1 8.227109-6-2.060934+1 8.755020-6-2.100930+1 1.691619-5-2.222204+1 2.691535-5-2.334257+1 3.127800-5-2.091493+1 3.375840-5-1.832911+1 3.511458-5-1.598265+1 3.604752-5-1.356562+1 3.676819-5-1.087047+1 3.719889-5-8.682949+0 3.755377-5-6.375702+0 3.775493-5-4.784063+0 3.793173-5-3.160565+0 3.801193-5-2.340178+0 3.808712-5-1.515889+0 3.815761-5-6.889766-1 3.822370-5 1.390936-1 3.828565-5 9.669241-1 3.834374-5 1.793152+0 3.840000-5 2.646318+0 3.850029-5 4.304052+0 3.858962-5 5.961218+0 3.866779-5 7.577103+0 3.879604-5 1.064729+1 3.893432-5 1.474355+1 3.903079-5 1.829506+1 3.913727-5 2.323749+1 3.921497-5 2.802286+1 3.928500-5 3.384855+1 3.933849-5 3.946343+1 3.948844-5 5.261291+1 3.959725-5 6.381089+1 3.972046-5 7.433160+1 3.982880-5 7.782871+1 3.991896-5 7.402150+1 3.998715-5 6.666889+1 4.007273-5 5.268518+1 4.015587-5 3.401939+1 4.018015-5 2.736893+1 4.019217-5 2.331872+1 4.025591-5 6.093111+0 4.026632-5 3.126405+0 4.027152-5 1.541796+0 4.027412-5 6.963089-1 4.027542-5 2.465129-1 4.027672-5-2.578735-1 4.027823-5-8.357755-1 4.028120-5-1.824761+0 4.028695-5-3.578629+0 4.029740-5-6.523091+0 4.032244-5-1.302715+1 4.035981-5-2.215754+1 4.038551-5-1.501957+1 4.040450-5-1.062415+1 4.042929-5-5.505746+0 4.044187-5-3.085178+0 4.048578-5 4.966253+0 4.050893-5 8.691484+0 4.053912-5 1.292700+1 4.058461-5 1.828941+1 4.063799-5 2.312199+1 4.067694-5 2.526037+1 4.077561-5 2.911122+1 4.089100-5 3.262110+1 4.098481-5 3.725276+1 4.106075-5 4.246978+1 4.119059-5 5.331655+1 4.139027-5 6.002260+1 4.150439-5 6.000334+1 4.163892-5 5.457986+1 4.192258-5 3.693624+1 4.205824-5 2.948138+1 4.211466-5 2.624229+1 4.223697-5 2.151845+1 4.237364-5 1.762903+1 4.254743-5 1.383700+1 4.271053-5 1.102762+1 4.293657-5 7.927871+0 4.307794-5 6.325808+0 4.321047-5 5.003598+0 4.333472-5 3.894482+0 4.345121-5 2.951653+0 4.356042-5 2.141291+0 4.366280-5 1.438264+0 4.385476-5 2.473164-1 4.402273-5-6.792348-1 4.416970-5-1.415480+0 4.429830-5-2.011271+0 4.452335-5-2.959225+0 4.469213-5-3.601844+0 4.494532-5-4.474268+0 4.542100-5-5.884135+0 4.702362-5-9.782135+0 4.736834-5-1.019961+1 4.800314-5-1.019685+1 5.144673-5-1.145253+1 5.791072-5-1.265561+1 7.124587-5-1.409984+1 7.248136-5-1.437408+1 7.353444-5-1.333878+1 7.676151-5-1.393187+1 1.640590-4-1.199178+1 2.255077-4-1.137518+1 2.921134-4-1.143647+1 3.597015-4-1.226642+1 4.026159-4-1.341764+1 4.364802-4-1.503545+1 4.610429-4-1.712309+1 4.772577-4-1.955947+1 4.816718-4-2.053087+1 4.916698-4-1.901967+1 4.968448-4-1.724061+1 5.001509-4-1.511164+1 5.019706-4-1.307744+1 5.026323-4-1.181698+1 5.035789-4-1.005391+1 5.049520-4-7.785225+0 5.052613-4-7.083279+0 5.062085-4-5.265506+0 5.064985-4-4.557990+0 5.075848-4-2.569897+0 5.077357-4-2.253996+0 5.080063-4-1.851897+0 5.088182-4-9.050004-1 5.089728-4-7.118078-1 5.092434-4-5.517045-1 5.096494-4-5.019854-1 5.100553-4-5.611081-1 5.102100-4-6.072082-1 5.104999-4-8.518139-1 5.107537-4-1.175817+0 5.109757-4-1.534856+0 5.111699-4-1.905260+0 5.115099-4-2.681930+0 5.117648-4-3.377984+0 5.120994-4-4.460484+0 5.124285-4-5.781023+0 5.126232-4-6.798217+0 5.136490-4-1.173199+1 5.152435-4-2.164051+1 5.159251-4-2.619959+1 5.168113-4-2.108898+1 5.183895-4-1.337577+1 5.192352-4-1.025336+1 5.206009-4-6.003155+0 5.209747-4-5.043333+0 5.216536-4-3.619078+0 5.219616-4-3.074549+0 5.225436-4-2.188824+0 5.230442-4-1.558915+0 5.234863-4-1.095340+0 5.238990-4-7.437686-1 5.245501-4-3.090760-1 5.247000-4-2.539902-1 5.250578-4-9.996134-2 5.251500-4-8.143637-2 5.254386-4-6.247024-3 5.255250-4-6.057803-3 5.257221-4-6.009493-3 5.258250-4-6.153581-3 5.259130-4 4.204654-4 5.260098-4 7.494250-3 5.260353-4 1.081372-3 5.265000-4-1.162250-1 5.265810-4-1.301534-1 5.270200-4-3.890814-1 5.272395-4-6.187516-1 5.273500-4-7.743693-1 5.276163-4-1.278087+0 5.282000-4-2.021622+0 5.296515-4-3.770059+0 5.311250-4-5.679551+0 5.323753-4-7.116999+0 5.356000-4-9.831031+0 5.376768-4-1.056936+1 5.404992-4-1.084963+1 5.544080-4-1.024080+1 5.899011-4-8.775723+0 6.051616-4-8.541362+0 6.180824-4-8.766535+0 6.274239-4-7.935665+0 6.349353-4-7.278473+0 6.527996-4-6.275057+0 6.850415-4-5.038996+0 7.212509-4-4.048063+0 7.698358-4-3.054530+0 8.109482-4-2.436398+0 8.524353-4-1.930130+0 8.935398-4-1.533355+0 9.436363-4-1.157190+0 9.929641-4-8.842140-1 1.046846-3-6.494880-1 1.071520-3-5.615183-1 1.119197-3-4.235808-1 1.150480-3-3.459796-1 1.183496-3-2.782620-1 1.223940-3-2.189920-1 1.263603-3-1.713982-1 1.296463-3-1.385418-1 1.318257-3-1.201176-1 1.359684-3-9.147244-2 1.404430-3-7.066288-2 1.450996-3-5.463134-2 1.489790-3-4.707212-2 1.525263-3-4.352472-2 1.552829-3-4.457565-2 1.606276-3-5.167320-2 1.649644-3-6.023288-2 1.710508-3-7.709947-2 1.811862-3-1.060332-1 1.905461-3-1.392738-1 2.032556-3-1.926296-1 2.358717-3-3.486084-1 3.640550-3-1.022129+0 4.090755-3-1.292213+0 4.473756-3-1.588901+0 4.757844-3-1.896753+0 4.968036-3-2.230874+0 5.113247-3-2.576293+0 5.210544-3-2.925106+0 5.285508-3-3.346155+0 5.335412-3-3.827051+0 5.416514-3-5.063652+0 5.440841-3-5.166691+0 5.465875-3-4.973131+0 5.546198-3-3.615979+0 5.585000-3-3.171936+0 5.645102-3-2.717318+0 5.717461-3-2.335108+0 5.821032-3-1.937918+0 5.953013-3-1.573456+0 6.107481-3-1.257724+0 6.295968-3-9.682206-1 6.476391-3-7.504493-1 6.698560-3-5.419795-1 6.914421-3-3.850377-1 7.077079-3-2.850830-1 7.249798-3-1.985103-1 7.354704-3-1.509082-1 7.459884-3-1.074491-1 7.571549-3-6.531017-2 7.683214-3-2.684024-2 7.767500-3-1.722806-3 7.839305-3 1.977289-2 8.030807-3 7.051516-2 8.291262-3 1.303250-1 8.510112-3 1.713763-1 8.915383-3 2.324476-1 9.333168-3 2.775778-1 9.592690-3 2.993394-1 1.030682-2 3.388829-1 1.130070-2 3.659457-1 1.266421-2 3.699873-1 1.468184-2 3.484267-1 2.159432-2 2.375303-1 2.573221-2 1.854605-1 3.041392-2 1.410013-1 3.478121-2 1.096666-1 3.859895-2 8.799179-2 4.269744-2 6.937911-2 4.757150-2 5.174657-2 5.200838-2 3.894168-2 5.673787-2 2.776415-2 6.137093-2 1.875381-2 6.538750-2 1.219174-2 6.937850-2 6.570456-3 7.109733-2 4.394079-3 7.276575-2 2.391643-3 7.428307-2 6.572526-4 7.520074-2-3.299132-4 7.616716-2-1.362132-3 7.788799-2-3.106546-3 7.943953-2-4.606642-3 8.263256-2-7.464630-3 8.845501-2-1.200096-2 9.535447-2-1.648135-2 1.060238-1-2.198851-2 1.195579-1-2.722033-2 1.392342-1-3.258734-2 1.684290-1-3.762720-2 2.143333-1-4.204434-2 2.970445-1-4.569960-2 4.847388-1-4.838011-2 1.228714+0-4.981004-2 3.710658+0-5.004452-2 1.000000+1-5.006159-2 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.741045-2 1.101364-6 2.728782-2 1.135781-6 3.159084-2 1.171275-6 3.665331-2 1.207877-6 4.262668-2 1.245623-6 4.969718-2 1.284549-6 5.809523-2 1.324691-6 6.810768-2 1.366087-6 8.008974-2 1.407240-6 9.393165-2 1.447107-6 1.094760-1 1.485728-6 1.268620-1 1.559388-6 1.674870-1 1.594500-6 1.909215-1 1.628515-6 2.167625-1 1.661467-6 2.452009-1 1.693389-6 2.764190-1 1.724314-6 3.106079-1 1.754272-6 3.479679-1 1.783295-6 3.887090-1 1.811410-6 4.330509-1 1.838647-6 4.812237-1 1.865032-6 5.334681-1 1.890593-6 5.900359-1 1.915355-6 6.511901-1 1.939343-6 7.172058-1 1.962582-6 7.883699-1 1.985095-6 8.649820-1 2.006904-6 9.473545-1 2.028031-6 1.035810+0 2.048498-6 1.130676+0 2.068326-6 1.232296+0 2.087534-6 1.341047+0 2.124168-6 1.581519+0 2.158548-6 1.855353+0 2.190813-6 2.166235+0 2.206193-6 2.337280+0 2.221093-6 2.519654+0 2.249961-6 2.924852+0 2.277025-6 3.379589+0 2.304000-6 3.923890+0 2.326184-6 4.456710+0 2.348484-6 5.090819+0 2.369390-6 5.796533+0 2.388989-6 6.579672+0 2.407364-6 7.446464+0 2.424590-6 8.403384+0 2.440739-6 9.457134+0 2.455879-6 1.061462+1 2.470073-6 1.188294+1 2.483380-6 1.326933+1 2.495855-6 1.478113+1 2.507551-6 1.642576+1 2.518515-6 1.821070+1 2.528794-6 2.014340+1 2.538431-6 2.223129+1 2.547465-6 2.448174+1 2.555935-6 2.690203+1 2.563876-6 2.949940+1 2.571320-6 3.228105+1 2.578299-6 3.525419+1 2.584841-6 3.842607+1 2.590975-6 4.180406+1 2.596726-6 4.539581+1 2.602117-6 4.920946+1 2.607171-6 5.325393+1 2.611909-6 5.753916+1 2.616351-6 6.207607+1 2.620515-6 6.687637+1 2.624419-6 7.195183+1 2.631740-6 8.337168+1 2.638145-6 9.607641+1 2.643750-6 1.100528+2 2.648654-6 1.251893+2 2.652945-6 1.412790+2 2.656699-6 1.580433+2 2.659985-6 1.751659+2 2.662859-6 1.923276+2 2.665375-6 2.092333+2 2.669776-6 2.436671+2 2.675554-6 2.998511+2 2.692888-6 5.676063+2 2.696189-6 6.388358+2 2.701490-6 7.678764+2 2.705063-6 8.649109+2 2.709397-6 9.928114+2 2.716001-6 1.206165+3 2.718271-6 1.283528+3 2.723430-6 1.463950+3 2.727042-6 1.591606+3 2.730034-6 1.696399+3 2.732936-6 1.795784+3 2.736195-6 1.903091+3 2.738917-6 1.987907+3 2.742416-6 2.088637+3 2.745305-6 2.163266+3 2.748672-6 2.238799+3 2.753302-6 2.319710+3 2.756230-6 2.355706+3 2.760260-6 2.384653+3 2.762475-6 2.390081+3 2.769138-6 2.361248+3 2.772045-6 2.327979+3 2.775435-6 2.274318+3 2.778495-6 2.213161+3 2.782062-6 2.128200+3 2.785817-6 2.025157+3 2.788055-6 1.958178+3 2.791253-6 1.856683+3 2.794594-6 1.745160+3 2.798691-6 1.603668+3 2.802016-6 1.487252+3 2.805758-6 1.356963+3 2.809499-6 1.229519+3 2.813864-6 1.086923+3 2.817293-6 9.809494+2 2.822801-6 8.241610+2 2.826439-6 7.305834+2 2.831947-6 6.046537+2 2.838558-6 4.782792+2 2.849511-6 3.227068+2 2.853057-6 2.846532+2 2.856549-6 2.521415+2 2.859986-6 2.243995+2 2.863369-6 2.007329+2 2.866700-6 1.805281+2 2.869978-6 1.632500+2 2.873205-6 1.484370+2 2.876382-6 1.356956+2 2.882636-6 1.150045+2 2.888695-6 9.931229+1 2.894564-6 8.715057+1 2.900250-6 7.751365+1 2.905758-6 6.971440+1 2.911095-6 6.328077+1 2.916264-6 5.788441+1 2.921272-6 5.329295+1 2.930975-6 4.579216+1 2.940071-6 4.003872+1 2.948599-6 3.549116+1 2.956593-6 3.181211+1 2.971115-6 2.624036+1 2.995818-6 1.905525+1 3.005906-6 1.668999+1 3.041211-6 9.923817+0 3.050037-6 8.486643+0 3.056656-6 7.470663+0 3.061621-6 6.750080+0 3.076515-6 4.904790+0 3.080302-6 4.547768+0 3.084088-6 4.255883+0 3.085981-6 4.138291+0 3.088821-6 4.002171+0 3.090241-6 3.953894+0 3.091660-6 3.919868+0 3.092691-6 3.904564+0 3.094236-6 3.897172+0 3.096126-6 3.914932+0 3.098045-6 3.965053+0 3.099140-6 4.008933+0 3.101056-6 4.113812+0 3.106805-6 4.660773+0 3.108650-6 4.915796+0 3.111021-6 5.304233+0 3.113751-6 5.838755+0 3.117254-6 6.665732+0 3.122913-6 8.342370+0 3.128292-6 1.031961+1 3.134381-6 1.296715+1 3.137251-6 1.434419+1 3.139699-6 1.557200+1 3.142572-6 1.706308+1 3.145422-6 1.858232+1 3.148544-6 2.027179+1 3.151936-6 2.211247+1 3.155296-6 2.391239+1 3.157413-6 2.502130+1 3.161701-6 2.717482+1 3.165168-6 2.879547+1 3.169745-6 3.072490+1 3.172218-6 3.165370+1 3.179882-6 3.396869+1 3.183914-6 3.483555+1 3.186265-6 3.523261+1 3.189481-6 3.565461+1 3.192523-6 3.593583+1 3.196870-6 3.616731+1 3.202459-6 3.624152+1 3.220319-6 3.601230+1 3.228057-6 3.620348+1 3.234406-6 3.659472+1 3.241471-6 3.723599+1 3.255161-6 3.863217+1 3.262962-6 3.914945+1 3.267082-6 3.924996+1 3.271015-6 3.920765+1 3.274948-6 3.901738+1 3.279943-6 3.855257+1 3.284759-6 3.786843+1 3.286365-6 3.759075+1 3.292215-6 3.638492+1 3.294166-6 3.592111+1 3.300016-6 3.437410+1 3.301967-6 3.381457+1 3.309768-6 3.142470+1 3.314190-6 3.000542+1 3.323704-6 2.694419+1 3.345584-6 2.074955+1 3.355225-6 1.861277+1 3.361536-6 1.741648+1 3.367748-6 1.638161+1 3.379978-6 1.469806+1 3.391826-6 1.341930+1 3.403304-6 1.241981+1 3.414423-6 1.161379+1 3.425195-6 1.094547+1 3.446065-6 9.874727+0 3.465630-6 9.060518+0 3.483973-6 8.416387+0 3.501169-6 7.893236+0 3.517291-6 7.459648+0 3.547519-6 6.761885+0 3.573968-6 6.246763+0 3.600000-6 5.807074+0 3.637612-6 5.261874+0 3.667988-6 4.883638+0 3.713551-6 4.397184+0 3.777619-6 3.832444+0 3.842387-6 3.368905+0 3.944166-6 2.787055+0 4.048407-6 2.299785+0 4.152648-6 1.868390+0 4.183311-6 1.745406+0 4.213975-6 1.621664+0 4.234418-6 1.537397+0 4.255933-6 1.445858+0 4.266382-6 1.399908+0 4.276832-6 1.352697+0 4.297731-6 1.253381+0 4.308181-6 1.200565+0 4.316187-6 1.158302+0 4.336630-6 1.041621+0 4.339530-6 1.023898+0 4.349980-6 9.574617-1 4.357072-6 9.101501-1 4.360430-6 8.872015-1 4.370879-6 8.142350-1 4.381515-6 7.399286-1 4.392299-6 6.697403-1 4.397691-6 6.390679-1 4.403084-6 6.130882-1 4.405929-6 6.017977-1 4.408774-6 5.925006-1 4.413268-6 5.825283-1 4.415748-6 5.798441-1 4.419430-6 5.800696-1 4.427715-6 6.021168-1 4.430477-6 6.170852-1 4.434993-6 6.508796-1 4.436499-6 6.648770-1 4.441329-6 7.196390-1 4.446611-6 7.977914-1 4.449810-6 8.549187-1 4.454477-6 9.520055-1 4.461298-6 1.123836+0 4.472646-6 1.486967+0 4.478973-6 1.727740+0 4.483662-6 1.921080+0 4.487598-6 2.091490+0 4.492216-6 2.298795+0 4.495587-6 2.453654+0 4.501013-6 2.706205+0 4.505421-6 2.911398+0 4.510267-6 3.133423+0 4.513243-6 3.266430+0 4.515790-6 3.377447+0 4.519610-6 3.537948+0 4.524109-6 3.715713+0 4.534296-6 4.060974+0 4.538032-6 4.164142+0 4.545163-6 4.321755+0 4.550638-6 4.405932+0 4.553763-6 4.439310+0 4.556497-6 4.459791+0 4.561282-6 4.476324+0 4.564871-6 4.473029+0 4.567562-6 4.462065+0 4.573618-6 4.412315+0 4.579018-6 4.341123+0 4.585514-6 4.226476+0 4.588628-6 4.161869+0 4.596325-6 3.980719+0 4.604103-6 3.774815+0 4.610361-6 3.599214+0 4.625806-6 3.157842+0 4.651125-6 2.509736+0 4.658817-6 2.344619+0 4.673240-6 2.077277+0 4.685860-6 1.883887+0 4.707945-6 1.614141+0 4.757636-6 1.162668+0 4.775048-6 1.020917+0 4.786801-6 9.283341-1 4.808300-6 7.752135-1 4.818227-6 7.182807-1 4.825948-6 6.835193-1 4.828959-6 6.727140-1 4.831970-6 6.636386-1 4.843805-6 6.469801-1 4.845386-6 6.472827-1 4.856457-6 6.679943-1 4.860794-6 6.854225-1 4.869074-6 7.337647-1 4.874068-6 7.724521-1 4.879412-6 8.215394-1 4.887050-6 9.046456-1 4.904333-6 1.138927+0 4.913148-6 1.275143+0 4.917555-6 1.345391+0 4.926554-6 1.489983+0 4.929331-6 1.534307+0 4.939773-6 1.696409+0 4.945137-6 1.775420+0 4.950257-6 1.847272+0 4.955376-6 1.915134+0 4.959494-6 1.966552+0 4.966700-6 2.049253+0 4.972105-6 2.104907+0 4.980212-6 2.177803+0 4.988319-6 2.237826+0 5.008043-6 2.330478+0 5.017998-6 2.349354+0 5.030350-6 2.348428+0 5.038069-6 2.335311+0 5.049709-6 2.299965+0 5.064945-6 2.232893+0 5.093937-6 2.086971+0 5.105986-6 2.036301+0 5.118034-6 1.997068+0 5.131802-6 1.966054+0 5.168875-6 1.912339+0 5.182650-6 1.880834+0 5.190915-6 1.854625+0 5.198431-6 1.825432+0 5.205948-6 1.791077+0 5.218305-6 1.724075+0 5.229923-6 1.650990+0 5.243020-6 1.560254+0 5.255378-6 1.470077+0 5.267735-6 1.378679+0 5.287095-6 1.238772+0 5.304126-6 1.123042+0 5.356347-6 8.277157-1 5.369403-6 7.699037-1 5.382458-6 7.195904-1 5.393337-6 6.839910-1 5.404216-6 6.547523-1 5.414872-6 6.329105-1 5.424856-6 6.191587-1 5.454758-6 6.227457-1 5.459286-6 6.297552-1 5.472871-6 6.616451-1 5.478944-6 6.811778-1 5.484259-6 7.008834-1 5.493559-6 7.409796-1 5.505765-6 8.034125-1 5.535409-6 9.867034-1 5.540059-6 1.017337+0 5.555539-6 1.117890+0 5.558908-6 1.138993+0 5.582490-6 1.270831+0 5.586694-6 1.290466+0 5.594052-6 1.321340+0 5.616126-6 1.383696+0 5.622216-6 1.392155+0 5.640485-6 1.393556+0 5.648192-6 1.383394+0 5.659754-6 1.356750+0 5.671315-6 1.317600+0 5.677235-6 1.293315+0 5.683154-6 1.266570+0 5.699165-6 1.184846+0 5.710793-6 1.120564+0 5.734678-6 9.911761-1 5.745028-6 9.416943-1 5.754869-6 9.007588-1 5.760645-6 8.799610-1 5.775323-6 8.388651-1 5.779915-6 8.295604-1 5.787159-6 8.182631-1 5.793136-6 8.119302-1 5.800162-6 8.076984-1 5.807496-6 8.066241-1 5.822251-6 8.128814-1 5.841720-6 8.321835-1 5.866336-6 8.615104-1 5.877883-6 8.736585-1 5.896165-6 8.884443-1 5.911208-6 8.960281-1 5.940326-6 8.998916-1 5.964106-6 8.945141-1 5.977115-6 8.890945-1 6.016141-6 8.667623-1 6.049669-6 8.480374-1 6.063799-6 8.422287-1 6.096031-6 8.346596-1 6.179585-6 8.282548-1 6.233318-6 8.188216-1 6.282196-6 8.058994-1 6.334438-6 7.870883-1 6.400949-6 7.628424-1 6.448684-6 7.512820-1 6.503433-6 7.442228-1 6.820660-6 7.229653-1 7.051191-6 7.107580-1 7.295971-6 7.050457-1 7.368694-6 7.045073-1 7.837356-6 7.187694-1 8.101092-6 7.367547-1 8.609938-6 7.866125-1 9.174966-6 8.627686-1 9.772372-6 9.643861-1 1.035069-5 1.080287+0 1.092370-5 1.210958+0 1.174898-5 1.421659+0 1.310000-5 1.821418+0 1.538826-5 2.637508+0 1.638400-5 3.045515+0 1.730000-5 3.456442+0 2.087528-5 5.269874+0 2.282986-5 6.406591+0 2.490327-5 7.680983+0 2.598941-5 8.384171+0 2.712706-5 9.122280+0 2.801715-5 9.792196+0 2.891318-5 1.053771+1 2.975451-5 1.133767+1 3.054921-5 1.221651+1 3.137625-5 1.326001+1 3.199345-5 1.415644+1 3.238730-5 1.480109+1 3.276800-5 1.548546+1 3.311311-5 1.616009+1 3.356413-5 1.712273+1 3.384944-5 1.779389+1 3.429723-5 1.896433+1 3.465298-5 2.000901+1 3.490426-5 2.082312+1 3.514770-5 2.168041+1 3.555369-5 2.326857+1 3.583329-5 2.449403+1 3.625538-5 2.659731+1 3.665151-5 2.890786+1 3.702327-5 3.144518+1 3.737215-5 3.422828+1 3.769958-5 3.728119+1 3.785565-5 3.891655+1 3.819643-5 4.296404+1 3.845448-5 4.654176+1 3.875204-5 5.135240+1 3.895650-5 5.518029+1 3.919010-5 6.019215+1 3.944588-5 6.662938+1 3.961440-5 7.153057+1 3.980688-5 7.790917+1 4.000000-5 8.531708+1 4.015650-5 9.221468+1 4.033224-5 1.011195+2 4.046378-5 1.087457+2 4.060317-5 1.179072+2 4.073803-5 1.280333+2 4.085636-5 1.381417+2 4.097122-5 1.492599+2 4.107889-5 1.610751+2 4.120078-5 1.764119+2 4.127448-5 1.868880+2 4.136320-5 2.009349+2 4.144638-5 2.157790+2 4.152436-5 2.314531+2 4.159746-5 2.479954+2 4.166600-5 2.654494+2 4.173025-5 2.838625+2 4.179049-5 3.032834+2 4.190343-5 3.468496+2 4.200226-5 3.951614+2 4.208873-5 4.481410+2 4.216439-5 5.053009+2 4.223060-5 5.657749+2 4.228853-5 6.284349+2 4.233922-5 6.920415+2 4.238357-5 7.553814+2 4.242238-5 8.173697+2 4.249030-5 9.423898+2 4.257943-5 1.142945+3 4.279419-5 1.830918+3 4.283201-5 1.985113+3 4.290421-5 2.307203+3 4.297417-5 2.652093+3 4.299748-5 2.773603+3 4.310280-5 3.355685+3 4.311596-5 3.431475+3 4.320811-5 3.971788+3 4.324814-5 4.207713+3 4.328635-5 4.430648+3 4.334212-5 4.747666+3 4.338944-5 5.004471+3 4.344008-5 5.261887+3 4.347885-5 5.443881+3 4.353426-5 5.676869+3 4.358698-5 5.864597+3 4.361879-5 5.960236+3 4.366529-5 6.074505+3 4.371579-5 6.162820+3 4.373132-5 6.182318+3 4.379924-5 6.225184+3 4.385709-5 6.208374+3 4.391539-5 6.144836+3 4.397542-5 6.035369+3 4.403036-5 5.901499+3 4.410116-5 5.691175+3 4.417656-5 5.434506+3 4.427954-5 5.058372+3 4.450577-5 4.281620+3 4.460940-5 3.991315+3 4.471522-5 3.740779+3 4.494404-5 3.296212+3 4.506955-5 3.061741+3 4.513206-5 2.938575+3 4.521243-5 2.771393+3 4.527755-5 2.628448+3 4.534035-5 2.484986+3 4.541512-5 2.308796+3 4.549587-5 2.115152+3 4.557663-5 1.922136+3 4.568430-5 1.673004+3 4.571122-5 1.613129+3 4.587610-5 1.276175+3 4.613785-5 8.683068+2 4.619228-5 8.033199+2 4.626334-5 7.277547+2 4.633439-5 6.617927+2 4.641003-5 6.009712+2 4.644733-5 5.741643+2 4.652710-5 5.230466+2 4.664676-5 4.597836+2 4.671286-5 4.304734+2 4.676643-5 4.091434+2 4.689907-5 3.640082+2 4.693945-5 3.520879+2 4.703219-5 3.273472+2 4.717052-5 2.961564+2 4.728605-5 2.743762+2 4.740159-5 2.558321+2 4.751712-5 2.400886+2 4.759511-5 2.308683+2 4.766226-5 2.237506+2 4.776300-5 2.143660+2 4.786373-5 2.063574+2 4.800818-5 1.968868+2 4.810977-5 1.913852+2 4.829147-5 1.833450+2 4.870087-5 1.706915+2 4.883515-5 1.676619+2 4.908430-5 1.630920+2 4.966469-5 1.551929+2 5.049223-5 1.451692+2 5.094425-5 1.404542+2 5.155893-5 1.349114+2 5.253780-5 1.273619+2 5.343221-5 1.217317+2 5.449742-5 1.162113+2 5.595463-5 1.101134+2 5.750579-5 1.049928+2 5.974501-5 9.911498+1 6.189463-5 9.471973+1 6.393721-5 9.134903+1 6.648750-5 8.799697+1 7.198387-5 8.212714+1 7.352292-5 8.008543+1 7.420455-5 7.902569+1 7.456984-5 7.876009+1 7.475248-5 7.881269+1 7.493513-5 7.902540+1 7.515960-5 7.952095+1 7.559100-5 8.107627+1 7.605320-5 8.296271+1 7.623182-5 8.353597+1 7.646502-5 8.404844+1 7.673803-5 8.428617+1 7.715773-5 8.407217+1 7.782159-5 8.340285+1 7.831555-5 8.323512+1 8.829866-5 8.646256+1 1.000000-4 9.131779+1 1.273442-4 1.025443+2 1.450000-4 1.087162+2 1.620050-4 1.135956+2 1.792411-4 1.175634+2 1.995263-4 1.208477+2 2.209946-4 1.229283+2 2.444339-4 1.239104+2 2.678253-4 1.237669+2 2.920578-4 1.224922+2 3.171392-4 1.201022+2 3.388442-4 1.170807+2 3.616784-4 1.128991+2 3.852663-4 1.073191+2 4.076001-4 1.007991+2 4.270428-4 9.402747+1 4.442158-4 8.701795+1 4.589833-4 8.004010+1 4.702662-4 7.400949+1 4.807563-4 6.775620+1 4.902056-4 6.150949+1 4.981334-4 5.573529+1 5.053233-4 5.001000+1 5.118551-4 4.436647+1 5.180263-4 3.861273+1 5.231866-4 3.346905+1 5.269471-4 2.954780+1 5.306315-4 2.571106+1 5.339110-4 2.268583+1 5.367544-4 2.080687+1 5.371472-4 2.062125+1 5.397096-4 1.989447+1 5.421900-4 1.996771+1 5.442285-4 2.055321+1 5.463072-4 2.164769+1 5.476143-4 2.264710+1 5.491802-4 2.427908+1 5.506294-4 2.639047+1 5.517662-4 2.862728+1 5.528293-4 3.135577+1 5.539078-4 3.495709+1 5.545850-4 3.775829+1 5.553301-4 4.142464+1 5.559821-4 4.521737+1 5.565526-4 4.904884+1 5.570517-4 5.284059+1 5.578708-4 6.005927+1 5.585334-4 6.691213+1 5.595544-4 7.948357+1 5.614583-4 1.104945+2 5.629056-4 1.415587+2 5.635726-4 1.581924+2 5.647914-4 1.923514+2 5.662085-4 2.377501+2 5.668406-4 2.596902+2 5.678370-4 2.958880+2 5.684225-4 3.178100+2 5.691469-4 3.452733+2 5.698590-4 3.722831+2 5.703199-4 3.895919+2 5.709548-4 4.129674+2 5.717237-4 4.401897+2 5.726518-4 4.707978+2 5.734559-4 4.947423+2 5.743817-4 5.187505+2 5.751587-4 5.355908+2 5.759772-4 5.498106+2 5.767097-4 5.593701+2 5.776030-4 5.669631+2 5.785231-4 5.702306+2 5.791086-4 5.700191+2 5.795191-4 5.688657+2 5.802901-4 5.645997+2 5.809918-4 5.585216+2 5.818499-4 5.485618+2 5.827287-4 5.358702+2 5.833608-4 5.254176+2 5.839360-4 5.150951+2 5.847055-4 5.002786+2 5.857088-4 4.796382+2 5.870340-4 4.509640+2 5.886521-4 4.154103+2 5.918762-4 3.500734+2 5.932344-4 3.269905+2 5.946250-4 3.068872+2 5.963083-4 2.875445+2 5.975811-4 2.764224+2 5.987137-4 2.688305+2 5.997169-4 2.637077+2 6.011337-4 2.586390+2 6.032188-4 2.547072+2 6.058470-4 2.535341+2 6.094805-4 2.550347+2 6.161250-4 2.595892+2 6.256156-4 2.652008+2 6.317957-4 2.678935+2 6.367092-4 2.695256+2 6.445906-4 2.713941+2 6.529173-4 2.722522+2 6.600338-4 2.717692+2 6.686524-4 2.695617+2 6.729348-4 2.690927+2 6.760862-4 2.701038+2 6.793751-4 2.730381+2 6.814378-4 2.759443+2 6.851132-4 2.827976+2 6.905104-4 2.943840+2 6.936182-4 3.004458+2 6.970917-4 3.060315+2 7.004031-4 3.101858+2 7.070231-4 3.161122+2 7.132778-4 3.202174+2 7.212758-4 3.245604+2 7.434469-4 3.341041+2 7.719844-4 3.436967+2 8.044288-4 3.521559+2 8.399160-4 3.587149+2 8.925345-4 3.655297+2 9.631011-4 3.706722+2 1.017512-3 3.715255+2 1.128084-3 3.695462+2 1.233815-3 3.658784+2 1.375427-3 3.574429+2 1.525847-3 3.477519+2 1.752077-3 3.316203+2 2.037335-3 3.119436+2 2.356769-3 2.902999+2 2.641131-3 2.719796+2 2.951129-3 2.532402+2 3.263036-3 2.356246+2 3.543691-3 2.208446+2 3.831934-3 2.064422+2 3.976260-3 1.994809+2 4.165871-3 1.906078+2 4.331913-3 1.829919+2 4.486402-3 1.760552+2 4.648831-3 1.689022+2 4.786301-3 1.628844+2 4.916819-3 1.571455+2 5.034610-3 1.519258+2 5.123085-3 1.479004+2 5.222933-3 1.432587+2 5.312666-3 1.389459+2 5.385797-3 1.352914+2 5.449350-3 1.319551+2 5.507842-3 1.287059+2 5.559043-3 1.256778+2 5.632062-3 1.209243+2 5.670227-3 1.181392+2 5.707029-3 1.151590+2 5.738719-3 1.122561+2 5.765966-3 1.094027+2 5.788835-3 1.066723+2 5.814640-3 1.031661+2 5.845266-3 9.849055+1 5.890704-3 9.160688+1 5.909590-3 8.941995+1 5.925991-3 8.814947+1 5.938241-3 8.766835+1 5.950303-3 8.762174+1 5.958414-3 8.783322+1 5.966525-3 8.823598+1 5.983234-3 8.962614+1 5.998499-3 9.145881+1 6.020315-3 9.472792+1 6.055829-3 1.006596+2 6.082005-3 1.047704+2 6.105378-3 1.079580+2 6.120717-3 1.097721+2 6.150000-3 1.126693+2 6.171030-3 1.143629+2 6.213261-3 1.170482+2 6.245027-3 1.186187+2 6.279431-3 1.200147+2 6.315370-3 1.212170+2 6.360279-3 1.224391+2 6.456542-3 1.243069+2 6.531674-3 1.252304+2 6.655297-3 1.260825+2 6.832418-3 1.263091+2 7.025780-3 1.257454+2 7.239230-3 1.244405+2 7.575740-3 1.215136+2 8.015050-3 1.169626+2 8.474713-3 1.118698+2 9.093896-3 1.051019+2 9.842943-3 9.742536+1 1.083318-2 8.827693+1 1.224938-2 7.726876+1 1.330706-2 7.034424+1 1.483713-2 6.182779+1 1.645004-2 5.432424+1 1.836366-2 4.695789+1 2.036030-2 4.064266+1 2.263372-2 3.479311+1 2.493507-2 2.999836+1 2.782749-2 2.520965+1 3.920065-2 1.445813+1 5.170010-2 9.095333+0 6.125325-2 6.816162+0 7.254505-2 5.077967+0 8.568329-2 3.774657+0 1.041482-1 2.648890+0 1.236856-1 1.924702+0 1.662575-1 1.099852+0 2.219673-1 6.320114-1 2.985383-1 3.554751-1 4.229120-1 1.793945-1 6.790932-1 7.017771-2 1.619761+0 1.239543-2 4.891600+0 1.360423-3 1.477239+1 1.491830-4 4.461192+1 1.635778-5 1.347258+2 1.793597-6 4.068655+2 1.966641-7 1.258925+3 2.054125-8 3.981072+3 2.054125-9 1.258925+4 2.05412-10 3.981072+4 2.05412-11 1.000000+5 3.25557-12 1 24000 7 7 5.199600+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.010500-6 1.258900-6 1.601500-6 1.584900-6 2.538200-6 1.995300-6 4.022700-6 2.511900-6 6.375600-6 3.162300-6 1.010500-5 3.981100-6 1.601500-5 5.011900-6 2.538100-5 6.309600-6 4.022700-5 7.943300-6 6.375400-5 1.000000-5 1.010400-4 1.258900-5 1.601400-4 1.584900-5 2.537100-4 1.995300-5 4.019200-4 2.511900-5 6.367600-4 3.162300-5 1.008900-3 3.981100-5 1.598600-3 5.011900-5 2.533200-3 6.309600-5 4.014200-3 7.943300-5 6.355500-3 1.000000-4 1.006000-2 1.258900-4 1.591200-2 1.584900-4 2.511000-2 1.995300-4 3.960200-2 2.511900-4 6.226400-2 3.162300-4 9.737400-2 3.981100-4 1.510700-1 5.011900-4 2.317100-1 6.309600-4 3.495400-1 7.943300-4 5.153600-1 1.000000-3 7.384600-1 1.258900-3 1.025100+0 1.584900-3 1.380400+0 1.995300-3 1.816600+0 2.511900-3 2.351600+0 3.162300-3 2.998300+0 3.981100-3 3.759600+0 5.011900-3 4.629500+0 6.309600-3 5.593100+0 7.943300-3 6.612800+0 1.000000-2 7.624300+0 1.258900-2 8.566300+0 1.584900-2 9.426400+0 1.995300-2 1.019600+1 2.511900-2 1.084600+1 3.162300-2 1.133100+1 3.981100-2 1.162800+1 5.011900-2 1.175000+1 6.309600-2 1.171100+1 7.943300-2 1.152000+1 1.000000-1 1.118600+1 1.258900-1 1.073000+1 1.584900-1 1.017800+1 1.995300-1 9.560100+0 2.511900-1 8.904100+0 3.162300-1 8.230800+0 3.981100-1 7.557200+0 5.011900-1 6.896100+0 6.309600-1 6.255200+0 7.943300-1 5.642500+0 1.000000+0 5.059200+0 1.258900+0 4.509200+0 1.584900+0 3.993800+0 1.995300+0 3.515100+0 2.511900+0 3.074500+0 3.162300+0 2.672800+0 3.981100+0 2.310000+0 5.011900+0 1.985400+0 6.309600+0 1.697600+0 7.943300+0 1.444500+0 1.000000+1 1.223700+0 1.258900+1 1.032600+0 1.584900+1 8.680800-1 1.995300+1 7.273800-1 2.511900+1 6.076700-1 3.162300+1 5.062900-1 3.981100+1 4.207900-1 5.011900+1 3.489600-1 6.309600+1 2.888100-1 7.943300+1 2.385900-1 1.000000+2 1.967800-1 1.258900+2 1.620600-1 1.584900+2 1.332700-1 1.995300+2 1.094600-1 2.511900+2 8.979700-2 3.162300+2 7.358700-2 3.981100+2 6.024200-2 5.011900+2 4.927200-2 6.309600+2 4.026300-2 7.943300+2 3.287500-2 1.000000+3 2.682200-2 1.258900+3 2.186800-2 1.584900+3 1.781700-2 1.995300+3 1.450700-2 2.511900+3 1.180400-2 3.162300+3 9.599600-3 3.981100+3 7.802500-3 5.011900+3 6.338600-3 6.309600+3 5.146700-3 7.943300+3 4.176900-3 1.000000+4 3.388400-3 1.258900+4 2.747500-3 1.584900+4 2.226800-3 1.995300+4 1.804200-3 2.511900+4 1.461100-3 3.162300+4 1.182900-3 3.981100+4 9.573000-4 5.011900+4 7.744600-4 6.309600+4 6.263300-4 7.943300+4 5.063700-4 1.000000+5 4.092600-4 1 24000 7 7 5.199600+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510164-4 3.162278-4 3.159552-4 3.981072-4 3.976755-4 5.011872-4 5.005061-4 6.309573-4 6.298874-4 7.943282-4 7.926445-4 1.000000-3 9.973651-4 1.258925-3 1.254818-3 1.584893-3 1.578490-3 1.995262-3 1.985268-3 2.511886-3 2.496256-3 3.162278-3 3.137809-3 3.981072-3 3.942803-3 5.011872-3 4.952125-3 6.309573-3 6.216490-3 7.943282-3 7.798743-3 1.000000-2 9.776593-3 1.258925-2 1.224535-2 1.584893-2 1.532051-2 1.995262-2 1.914130-2 2.511886-2 2.387638-2 3.162278-2 2.972817-2 3.981072-2 3.694013-2 5.011872-2 4.578593-2 6.309573-2 5.659462-2 7.943282-2 6.974447-2 1.000000-1 8.567836-2 1.258925-1 1.048995-1 1.584893-1 1.280069-1 1.995262-1 1.556784-1 2.511886-1 1.886599-1 3.162278-1 2.278460-1 3.981072-1 2.742677-1 5.011872-1 3.290818-1 6.309573-1 3.937369-1 7.943282-1 4.697172-1 1.000000+0 5.592157-1 1.258925+0 6.645655-1 1.584893+0 7.889057-1 1.995262+0 9.360042-1 2.511886+0 1.110530+0 3.162278+0 1.318227+0 3.981072+0 1.566162+0 5.011872+0 1.862917+0 6.309573+0 2.219090+0 7.943282+0 2.647578+0 1.000000+1 3.164137+0 1.258925+1 3.788138+0 1.584893+1 4.543258+0 1.995262+1 5.458481+0 2.511886+1 6.569176+0 3.162278+1 7.919108+0 3.981072+1 9.561568+0 5.011872+1 1.156234+1 6.309573+1 1.400195+1 7.943282+1 1.697952+1 1.000000+2 2.061689+1 1.258925+2 2.506420+1 1.584893+2 3.050585+1 1.995262+2 3.716904+1 2.511886+2 4.533417+1 3.162278+2 5.534662+1 3.981072+2 6.763098+1 5.011872+2 8.271438+1 6.309573+2 1.012434+2 7.943282+2 1.240199+2 1.000000+3 1.520281+2 1.258925+3 1.864925+2 1.584893+3 2.289202+2 1.995262+3 2.811803+2 2.511886+3 3.455660+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88222-10 1.995262-5 1.090689-9 2.511886-5 1.728597-9 3.162278-5 2.739643-9 3.981072-5 4.342037-9 5.011872-5 6.881572-9 6.309573-5 1.090619-8 7.943282-5 1.728026-8 1.000000-4 2.738210-8 1.258925-4 4.338299-8 1.584893-4 6.870364-8 1.995262-4 1.088309-7 2.511886-4 1.722885-7 3.162278-4 2.725243-7 3.981072-4 4.317122-7 5.011872-4 6.811081-7 6.309573-4 1.069978-6 7.943282-4 1.683748-6 1.000000-3 2.634929-6 1.258925-3 4.106939-6 1.584893-3 6.403059-6 1.995262-3 9.994039-6 2.511886-3 1.563089-5 3.162278-3 2.446842-5 3.981072-3 3.826857-5 5.011872-3 5.974743-5 6.309573-3 9.308392-5 7.943282-3 1.445396-4 1.000000-2 2.234073-4 1.258925-2 3.439018-4 1.584893-2 5.284232-4 1.995262-2 8.113272-4 2.511886-2 1.242486-3 3.162278-2 1.894611-3 3.981072-2 2.870586-3 5.011872-2 4.332794-3 6.309573-2 6.501119-3 7.943282-2 9.688352-3 1.000000-1 1.432164-2 1.258925-1 2.099308-2 1.584893-1 3.048238-2 1.995262-1 4.384785-2 2.511886-1 6.252873-2 3.162278-1 8.838178-2 3.981072-1 1.238395-1 5.011872-1 1.721054-1 6.309573-1 2.372204-1 7.943282-1 3.246111-1 1.000000+0 4.407843-1 1.258925+0 5.943599-1 1.584893+0 7.959875-1 1.995262+0 1.059258+0 2.511886+0 1.401356+0 3.162278+0 1.844051+0 3.981072+0 2.414910+0 5.011872+0 3.148955+0 6.309573+0 4.090484+0 7.943282+0 5.295704+0 1.000000+1 6.835863+0 1.258925+1 8.801116+0 1.584893+1 1.130567+1 1.995262+1 1.449414+1 2.511886+1 1.854969+1 3.162278+1 2.370367+1 3.981072+1 3.024915+1 5.011872+1 3.855638+1 6.309573+1 4.909378+1 7.943282+1 6.245330+1 1.000000+2 7.938311+1 1.258925+2 1.008283+2 1.584893+2 1.279835+2 1.995262+2 1.623572+2 2.511886+2 2.058545+2 3.162278+2 2.608811+2 3.981072+2 3.304762+2 5.011872+2 4.184729+2 6.309573+2 5.297140+2 7.943282+2 6.703083+2 1.000000+3 8.479719+2 1.258925+3 1.072433+3 1.584893+3 1.355973+3 1.995262+3 1.714082+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.960000-6 6.591749+5 6.200000-6 5.025670+5 6.350000-6 4.239310+5 6.370000-6 4.141815+5 6.370000-6 3.448681+6 6.460000-6 3.468570+6 6.460000-6 5.446418+6 6.531306-6 5.496239+6 6.606934-6 5.551128+6 6.683439-6 5.604915+6 6.760830-6 5.661351+6 6.839116-6 5.717519+6 6.918310-6 5.776193+6 6.930000-6 5.784337+6 7.079458-6 5.891530+6 7.161434-6 5.952818+6 7.200000-6 5.980463+6 7.244360-6 6.012464+6 7.328245-6 6.068991+6 7.460000-6 6.160270+6 7.585776-6 6.250113+6 7.600000-6 6.260392+6 7.673615-6 6.310774+6 7.700000-6 6.327333+6 7.810000-6 6.397020+6 7.920000-6 6.467981+6 8.020000-6 6.533478+6 8.128305-6 6.605356+6 8.222426-6 6.659856+6 8.310000-6 6.711037+6 8.380000-6 6.752242+6 8.460000-6 6.799625+6 8.520000-6 6.835346+6 8.600000-6 6.883201+6 8.609938-6 6.889158+6 8.650000-6 6.909749+6 8.709636-6 6.940479+6 8.770000-6 6.971679+6 8.830000-6 7.002779+6 8.880000-6 7.028754+6 8.940000-6 7.059990+6 9.000000-6 7.091289+6 9.050000-6 7.117414+6 9.100000-6 7.143575+6 9.150000-6 7.169767+6 9.200000-6 7.195987+6 9.225714-6 7.209478+6 9.240000-6 7.215892+6 9.280000-6 7.233849+6 9.310000-6 7.247322+6 9.350000-6 7.265294+6 9.380000-6 7.278777+6 9.420000-6 7.296759+6 9.460000-6 7.314744+6 9.500000-6 7.332732+6 9.550000-6 7.355219+6 9.620000-6 7.386700+6 9.660000-6 7.404687+6 9.685000-6 7.415927+6 9.707000-6 7.425817+6 9.723000-6 7.433009+6 9.740000-6 7.440650+6 9.755000-6 7.447391+6 9.772372-6 7.455198+6 9.785000-6 7.460871+6 9.800000-6 7.467610+6 9.815000-6 7.474348+6 9.830000-6 7.481085+6 9.845000-6 7.487821+6 9.860000-6 7.494556+6 9.875000-6 7.501290+6 9.885531-6 7.506017+6 9.890000-6 7.507720+6 9.905000-6 7.513435+6 9.920000-6 7.519149+6 9.937000-6 7.525624+6 9.960000-6 7.534380+6 9.980000-6 7.541992+6 1.001000-5 7.553404+6 1.005000-5 7.568611+6 1.015000-5 7.606572+6 1.020000-5 7.625522+6 1.023293-5 7.637990+6 1.027000-5 7.652014+6 1.031000-5 7.667131+6 1.035142-5 7.682769+6 1.039000-5 7.697319+6 1.044000-5 7.716152+6 1.048000-5 7.731200+6 1.052000-5 7.746230+6 1.057000-5 7.764992+6 1.062000-5 7.783726+6 1.067000-5 7.802431+6 1.071519-5 7.819307+6 1.073000-5 7.823927+6 1.079000-5 7.842606+6 1.085000-5 7.861241+6 1.092000-5 7.882926+6 1.100000-5 7.907634+6 1.107000-5 7.929186+6 1.115000-5 7.953739+6 1.123000-5 7.978208+6 1.131000-5 8.002592+6 1.142000-5 8.035978+6 1.150000-5 8.060155+6 1.161449-5 8.094602+6 1.172000-5 8.126186+6 1.174898-5 8.134825+6 1.185000-5 8.159676+6 1.200000-5 8.196320+6 1.216186-5 8.235532+6 1.230269-5 8.269372+6 1.245000-5 8.304494+6 1.260000-5 8.339967+6 1.280000-5 8.386816+6 1.300000-5 8.433155+6 1.310000-5 8.456117+6 1.320000-5 8.474835+6 1.340000-5 8.511901+6 1.365000-5 8.557616+6 1.390000-5 8.602658+6 1.420000-5 8.655843+6 1.450000-5 8.708114+6 1.479108-5 8.757982+6 1.480000-5 8.759332+6 1.500000-5 8.789343+6 1.515000-5 8.809656+6 1.554900-5 8.862735+6 1.603245-5 8.925409+6 1.650000-5 8.984405+6 1.698244-5 9.043709+6 1.717908-5 9.067403+6 1.730000-5 9.080722+6 1.757924-5 9.106720+6 1.819701-5 9.162729+6 1.883649-5 9.218791+6 1.950000-5 9.275055+6 2.018366-5 9.331110+6 2.041738-5 9.344437+6 2.137962-5 9.397532+6 2.238721-5 9.450574+6 2.300000-5 9.481620+6 2.317395-5 9.487585+6 2.371374-5 9.500543+6 2.511886-5 9.532624+6 2.580000-5 9.547403+6 2.691535-5 9.541254+6 2.818383-5 9.534304+6 2.900000-5 9.507367+6 3.054921-5 9.458206+6 3.080000-5 9.447475+6 3.150000-5 9.405744+6 3.300000-5 9.319746+6 3.311311-5 9.312144+6 3.467369-5 9.184053+6 3.548134-5 9.120590+6 3.758374-5 8.909271+6 3.800000-5 8.865387+6 3.845918-5 8.810550+6 4.000000-5 8.633448+6 4.027170-5 8.600701+6 4.265795-5 8.296396+6 4.300000-5 8.252030+6 4.315191-5 8.230531+6 4.518559-5 7.954760+6 4.570882-5 7.883568+6 4.800000-5 7.562337+6 4.897788-5 7.427242+6 4.900000-5 7.424244+6 5.020000-5 7.253791+6 5.020000-5 9.412615+6 5.060000-5 9.292515+6 5.125000-5 9.089639+6 5.125000-5 1.014368+7 5.128614-5 1.012995+7 5.160000-5 1.000554+7 5.190000-5 9.886541+6 5.220000-5 9.766909+6 5.248075-5 9.654920+6 5.300000-5 9.450522+6 5.308844-5 9.415797+6 5.400000-5 9.067802+6 5.450000-5 8.886383+6 5.500000-5 8.710896+6 5.545300-5 8.556421+6 5.650000-5 8.219080+6 5.850000-5 7.640632+6 5.900000-5 7.511517+6 6.025596-5 7.203026+6 6.070000-5 7.099897+6 6.165950-5 6.888946+6 6.220000-5 6.777724+6 6.260000-5 6.698489+6 6.350000-5 6.530221+6 6.382635-5 6.471937+6 6.480000-5 6.304711+6 6.531306-5 6.222669+6 6.580000-5 6.144749+6 6.690000-5 5.981075+6 6.800000-5 5.831199+6 6.900000-5 5.705749+6 6.918310-5 5.684170+6 7.000000-5 5.587584+6 7.110000-5 5.463234+6 7.215600-5 5.352986+6 7.230000-5 5.338460+6 7.330000-5 5.242230+6 7.350000-5 5.223635+6 7.450000-5 5.134645+6 7.500000-5 5.092876+6 7.585776-5 5.020878+6 7.673615-5 4.949362+6 7.730000-5 4.904567+6 7.900000-5 4.779249+6 7.919000-5 4.766154+6 7.919000-5 5.086066+6 8.000000-5 5.036826+6 8.080000-5 4.988627+6 8.128305-5 4.960603+6 8.150000-5 4.947318+6 8.317638-5 4.848002+6 8.511380-5 4.740045+6 8.709636-5 4.635724+6 8.730000-5 4.624643+6 9.015711-5 4.475725+6 9.120108-5 4.424518+6 9.332543-5 4.324504+6 9.400000-5 4.292944+6 9.440609-5 4.274072+6 9.549926-5 4.223106+6 9.772372-5 4.123272+6 9.900000-5 4.068848+6 9.950000-5 4.047100+6 1.011579-4 3.975902+6 1.020000-4 3.940406+6 1.023293-4 3.926646+6 1.040000-4 3.859102+6 1.060000-4 3.780927+6 1.071519-4 3.737268+6 1.083927-4 3.690197+6 1.100000-4 3.628835+6 1.135011-4 3.503530+6 1.150000-4 3.452210+6 1.174898-4 3.367726+6 1.190000-4 3.318257+6 1.202264-4 3.278447+6 1.230269-4 3.191028+6 1.244515-4 3.147851+6 1.260000-4 3.101021+6 1.273503-4 3.061088+6 1.303167-4 2.976620+6 1.318257-4 2.934743+6 1.333521-4 2.893294+6 1.350000-4 2.849761+6 1.364583-4 2.811768+6 1.380384-4 2.770863+6 1.430000-4 2.648124+6 1.445440-4 2.611162+6 1.450000-4 2.600469+6 1.479108-4 2.533584+6 1.500000-4 2.487174+6 1.513561-4 2.456910+6 1.531087-4 2.418505+6 1.584893-4 2.307325+6 1.621810-4 2.234254+6 1.640590-4 2.198364+6 1.678804-4 2.127704+6 1.698244-4 2.092175+6 1.760000-4 1.986789+6 1.778279-4 1.957391+6 1.900000-4 1.771529+6 1.905461-4 1.763907+6 1.927525-4 1.733034+6 1.937980-4 1.718666+6 1.949845-4 1.702490+6 2.018366-4 1.613314+6 2.041738-4 1.584589+6 2.113489-4 1.500270+6 2.137962-4 1.473211+6 2.150000-4 1.460106+6 2.162719-4 1.446418+6 2.187762-4 1.419861+6 2.317395-4 1.292919+6 2.344229-4 1.268773+6 2.350000-4 1.263644+6 2.400000-4 1.219762+6 2.483133-4 1.152108+6 2.511886-4 1.129980+6 2.540973-4 1.107857+6 2.570396-4 1.086126+6 2.660725-4 1.023390+6 2.691535-4 1.003066+6 2.754229-4 9.629551+5 2.818383-4 9.246316+5 2.851018-4 9.060379+5 2.917427-4 8.695209+5 2.951209-4 8.515219+5 3.100000-4 7.787299+5 3.126079-4 7.669170+5 3.162278-4 7.509506+5 3.311311-4 6.893117+5 3.388442-4 6.604492+5 3.467369-4 6.326333+5 3.507519-4 6.189123+5 3.700000-4 5.591028+5 3.758374-4 5.426264+5 3.801894-4 5.306250+5 3.890451-4 5.073522+5 3.935501-4 4.961012+5 4.027170-4 4.743291+5 4.100000-4 4.579398+5 4.265795-4 4.231480+5 4.365158-4 4.041322+5 4.415704-4 3.948676+5 4.500000-4 3.800935+5 4.841724-4 3.274003+5 4.897788-4 3.197353+5 4.954502-4 3.122448+5 5.128614-4 2.904613+5 5.370318-4 2.638610+5 5.495409-4 2.514255+5 5.500000-4 2.509856+5 5.559043-4 2.453352+5 5.623413-4 2.393793+5 5.808100-4 2.233785+5 5.808100-4 1.080691+6 5.814000-4 1.111842+6 5.821032-4 1.142123+6 5.827000-4 1.162457+6 5.835000-4 1.184879+6 5.845000-4 1.207011+6 5.858000-4 1.230160+6 5.872000-4 1.250181+6 5.888437-4 1.269021+6 5.890000-4 1.270830+6 5.897400-4 1.277186+6 5.897400-4 1.690076+6 5.903000-4 1.710043+6 5.907500-4 1.724426+6 5.912000-4 1.737423+6 5.915000-4 1.744987+6 5.920000-4 1.756256+6 5.931000-4 1.776793+6 5.935000-4 1.782902+6 5.940000-4 1.788303+6 5.950000-4 1.796553+6 5.965000-4 1.805910+6 5.990000-4 1.815330+6 5.995000-4 1.816724+6 6.015000-4 1.817374+6 6.025596-4 1.816912+6 6.030000-4 1.816717+6 6.065000-4 1.808125+6 6.095369-4 1.793173+6 6.130000-4 1.776454+6 6.165950-4 1.756651+6 6.180000-4 1.748810+6 6.237348-4 1.711935+6 6.280000-4 1.685240+6 6.309573-4 1.665522+6 6.382635-4 1.618170+6 6.390000-4 1.613500+6 6.531306-4 1.529319+6 6.606934-4 1.486772+6 6.873400-4 1.347456+6 6.873400-4 1.518349+6 6.930000-4 1.489844+6 7.000000-4 1.455353+6 7.079458-4 1.417615+6 7.328245-4 1.313068+6 7.413102-4 1.279970+6 7.500000-4 1.247608+6 7.673615-4 1.185764+6 8.000000-4 1.079425+6 8.035261-4 1.068782+6 8.222426-4 1.013385+6 8.511380-4 9.355925+5 8.810489-4 8.638791+5 9.120108-4 7.961795+5 9.225714-4 7.748438+5 9.332543-4 7.540719+5 9.700000-4 6.880913+5 9.772372-4 6.759893+5 9.850000-4 6.631059+5 1.000000-3 6.390934+5 1.035142-3 5.874884+5 1.047129-3 5.712319+5 1.096478-3 5.103101+5 1.161449-3 4.429264+5 1.174898-3 4.304853+5 1.190000-3 4.171012+5 1.216186-3 3.952559+5 1.244515-3 3.729522+5 1.258925-3 3.622914+5 1.303167-3 3.320068+5 1.333521-3 3.132557+5 1.350000-3 3.036967+5 1.364583-3 2.955431+5 1.380384-3 2.869866+5 1.462177-3 2.478555+5 1.479108-3 2.406642+5 1.500000-3 2.321919+5 1.513561-3 2.269149+5 1.548817-3 2.139671+5 1.611800-3 1.929869+5 1.640590-3 1.843096+5 1.698244-3 1.684929+5 1.717908-3 1.635341+5 1.757924-3 1.540607+5 1.778279-3 1.495380+5 1.840772-3 1.366274+5 1.862087-3 1.325803+5 1.927525-3 1.210960+5 1.949845-3 1.174954+5 2.000000-3 1.099365+5 2.018366-3 1.073189+5 2.065380-3 1.009778+5 2.089296-3 9.793576+4 2.162719-3 8.935541+4 2.187762-3 8.667050+4 2.213095-3 8.406725+4 2.264644-3 7.909955+4 2.300000-3 7.592604+4 2.344229-3 7.217247+4 2.371374-3 6.998825+4 2.454709-3 6.378791+4 2.483133-3 6.184917+4 2.570396-3 5.638647+4 2.660725-3 5.141955+4 2.691535-3 4.984820+4 2.786121-3 4.539391+4 2.818383-3 4.400196+4 3.000000-3 3.717886+4 3.019952-3 3.652169+4 3.054921-3 3.540169+4 3.090295-3 3.430394+4 3.185290-3 3.157893+4 3.198895-3 3.121363+4 3.467369-3 2.506626+4 3.507519-3 2.429067+4 3.548134-3 2.353981+4 3.589219-3 2.280451+4 3.630781-3 2.209231+4 3.890451-3 1.827282+4 4.027170-3 1.662509+4 4.073803-3 1.610886+4 4.120975-3 1.560519+4 4.216965-3 1.464284+4 4.265795-3 1.418481+4 4.466836-3 1.249539+4 4.518559-3 1.210603+4 4.570882-3 1.172852+4 4.623810-3 1.136312+4 4.677351-3 1.100943+4 4.731513-3 1.066425+4 4.786301-3 1.032829+4 4.897788-3 9.686398+3 4.954502-3 9.380305+3 5.011872-3 9.084146+3 5.069907-3 8.797602+3 5.248075-3 7.991478+3 5.308844-3 7.739348+3 5.370318-3 7.495374+3 5.432503-3 7.256949+3 5.559043-3 6.803037+3 5.623413-3 6.585188+3 5.698200-3 6.344013+3 5.731900-3 6.238353+3 5.754399-3 6.169161+3 5.821032-3 5.970353+3 5.888437-3 5.779531+3 5.956621-3 5.595004+3 5.957600-3 5.592440+3 5.957600-3 4.530653+4 6.025596-3 4.424366+4 6.150000-3 4.239723+4 6.165950-3 4.212164+4 6.237348-3 4.091794+4 6.456542-3 3.751029+4 6.500000-3 3.688050+4 6.606934-3 3.539186+4 6.683439-3 3.437772+4 6.760830-3 3.339214+4 6.839116-3 3.243498+4 6.918310-3 3.150514+4 7.000000-3 3.058417+4 7.079458-3 2.968661+4 7.161434-3 2.879823+4 7.244360-3 2.793551+4 7.498942-3 2.549989+4 7.500000-3 2.549039+4 7.585776-3 2.473561+4 8.035261-3 2.124525+4 8.128305-3 2.060930+4 8.317638-3 1.939416+4 8.413951-3 1.881316+4 8.609938-3 1.770301+4 8.709636-3 1.717284+4 8.810489-3 1.665835+4 9.332543-3 1.430940+4 9.549926-3 1.344232+4 9.660509-3 1.302878+4 9.772372-3 1.262754+4 9.885531-3 1.223869+4 1.000000-2 1.186191+4 1.011579-2 1.149678+4 1.023293-2 1.114278+4 1.083927-2 9.529947+3 1.096478-2 9.236650+3 1.122018-2 8.676930+3 1.135011-2 8.409628+3 1.161449-2 7.899553+3 1.174898-2 7.656269+3 1.188502-2 7.415310+3 1.216186-2 6.955807+3 1.230269-2 6.736840+3 1.288250-2 5.927930+3 1.318257-2 5.560752+3 1.333521-2 5.385606+3 1.355400-2 5.147408+3 1.364583-2 5.051645+3 1.400000-2 4.704210+3 1.445440-2 4.304357+3 1.462177-2 4.168731+3 1.548817-2 3.541864+3 1.566751-2 3.428193+3 1.584893-2 3.318173+3 1.659587-2 2.912272+3 1.698244-2 2.728340+3 1.717908-2 2.640789+3 1.737801-2 2.556047+3 1.778279-2 2.394641+3 1.819701-2 2.241320+3 1.862087-2 2.097684+3 1.883649-2 2.029360+3 1.905461-2 1.963253+3 1.972423-2 1.777596+3 2.018366-2 1.663683+3 2.113489-2 1.457318+3 2.137962-2 1.409860+3 2.187762-2 1.318329+3 2.238721-2 1.232749+3 2.264644-2 1.192068+3 2.398833-2 1.007930+3 2.426610-2 9.746672+2 2.540973-2 8.522501+2 2.576800-2 8.181433+2 2.600160-2 7.966414+2 2.691535-2 7.194441+2 2.754229-2 6.721792+2 2.851018-2 6.070450+2 2.951209-2 5.482283+2 3.019952-2 5.122181+2 3.054921-2 4.950936+2 3.126079-2 4.625446+2 3.198895-2 4.318078+2 3.273407-2 4.031114+2 3.427678-2 3.513159+2 3.507519-2 3.279719+2 3.630781-2 2.958342+2 3.715352-2 2.761610+2 3.845918-2 2.490766+2 4.168694-2 1.952673+2 4.216965-2 1.885952+2 4.365158-2 1.699168+2 4.415704-2 1.641115+2 4.677351-2 1.379061+2 4.786301-2 1.286351+2 5.000000-2 1.125814+2 5.011872-2 1.117695+2 5.069907-2 1.079108+2 5.308844-2 9.376346+1 5.432503-2 8.740171+1 5.688529-2 7.593493+1 6.165950-2 5.936805+1 6.309573-2 5.530297+1 6.760830-2 4.470344+1 6.839116-2 4.314602+1 7.079458-2 3.878856+1 7.244360-2 3.613101+1 7.673615-2 3.025641+1 7.762471-2 2.920153+1 8.128305-2 2.533737+1 8.222426-2 2.445407+1 8.317638-2 2.360156+1 8.413951-2 2.277439+1 8.609938-2 2.120601+1 8.912509-2 1.905376+1 9.549926-2 1.538058+1 9.772372-2 1.432094+1 9.885531-2 1.381884+1 1.047129-1 1.156024+1 1.059254-1 1.115493+1 1.071519-1 1.076386+1 1.109175-1 9.670963+0 1.122019-1 9.331905+0 1.174898-1 8.090508+0 1.258925-1 6.531171+0 1.273503-1 6.302220+0 1.288250-1 6.081294+0 1.380384-1 4.909313+0 1.428894-1 4.410980+0 1.445440-1 4.256376+0 1.479108-1 3.963246+0 1.500000-1 3.794674+0 1.548817-1 3.436169+0 1.584893-1 3.201507+0 1.603245-1 3.090335+0 1.621810-1 2.983021+0 1.698244-1 2.589820+0 1.717908-1 2.499907+0 1.757924-1 2.329335+0 1.819701-1 2.095057+0 1.840772-1 2.022324+0 1.862087-1 1.952116+0 1.927525-1 1.755786+0 1.949845-1 1.695390+0 2.018366-1 1.526395+0 2.065380-1 1.423197+0 2.089296-1 1.374251+0 2.113489-1 1.326989+0 2.137962-1 1.281353+0 2.162719-1 1.237336+0 2.187762-1 1.194833+0 2.238721-1 1.114159+0 2.317395-1 1.003246+0 2.344229-1 9.692578-1 2.371374-1 9.364209-1 2.398833-1 9.046978-1 2.426610-1 8.740496-1 2.454709-1 8.444407-1 2.483133-1 8.158405-1 2.511886-1 7.882093-1 2.540973-1 7.615473-1 2.660725-1 6.636214-1 2.691535-1 6.411752-1 2.754229-1 5.992035-1 2.851018-1 5.413414-1 2.884032-1 5.233269-1 2.951209-1 4.891254-1 2.985383-1 4.728719-1 3.000000-1 4.661413-1 3.054921-1 4.419703-1 3.090295-1 4.272853-1 3.235937-1 3.741733-1 3.273407-1 3.619611-1 3.311311-1 3.501507-1 3.349654-1 3.387446-1 3.507519-1 2.967175-1 3.548134-1 2.872458-1 3.589219-1 2.780765-1 3.672823-1 2.606074-1 3.715352-1 2.522910-1 3.801894-1 2.364748-1 3.890451-1 2.216502-1 3.935501-1 2.145901-1 4.000000-1 2.052090-1 4.073803-1 1.951475-1 4.120975-1 1.890663-1 4.168694-1 1.831765-1 4.216965-1 1.774818-1 4.265795-1 1.719642-1 4.365158-1 1.614387-1 4.466836-1 1.517767-1 4.518559-1 1.471649-1 4.570882-1 1.426932-1 4.623810-1 1.383588-1 4.731513-1 1.300991-1 4.786301-1 1.261561-1 4.841724-1 1.223326-1 4.954502-1 1.152082-1 5.000000-1 1.124963-1 5.011872-1 1.118033-1 5.069907-1 1.084991-1 5.128614-1 1.052936-1 5.188000-1 1.021898-1 5.370318-1 9.341655-2 5.432503-1 9.073331-2 5.495409-1 8.812731-2 5.559043-1 8.559619-2 5.623413-1 8.313861-2 5.821032-1 7.619686-2 5.888437-1 7.401423-2 5.956621-1 7.195086-2 6.025596-1 6.994503-2 6.095369-1 6.799514-2 6.165950-1 6.610031-2 6.309573-1 6.247679-2 6.382635-1 6.074020-2 6.456542-1 5.905200-2 6.531306-1 5.745911-2 6.606935-1 5.590925-2 6.683439-1 5.440122-2 6.760830-1 5.293440-2 6.839117-1 5.151084-2 6.918310-1 5.012558-2 7.085700-1 4.736700-2 7.161434-1 4.623280-2 7.244360-1 4.503521-2 7.328245-1 4.386867-2 7.413102-1 4.273279-2 7.498942-1 4.162932-2 7.762471-1 3.848712-2 7.852356-1 3.752236-2 7.943282-1 3.658180-2 8.035261-1 3.566482-2 8.128305-1 3.477118-2 8.413951-1 3.222921-2 8.511380-1 3.142392-2 8.609938-1 3.065804-2 8.810489-1 2.918190-2 8.912509-1 2.847103-2 9.015711-1 2.777968-2 9.120108-1 2.710515-2 9.332543-1 2.580490-2 9.440609-1 2.517835-2 9.549926-1 2.458994-2 9.660509-1 2.401555-2 9.772372-1 2.345657-2 1.011579+0 2.185651-2 1.022000+0 2.140306-2 1.023293+0 2.134928-2 1.035142+0 2.086581-2 1.047129+0 2.039328-2 1.059254+0 1.993162-2 1.096478+0 1.860838-2 1.109175+0 1.818815-2 1.122018+0 1.777744-2 1.135011+0 1.737597-2 1.148154+0 1.698361-2 1.161449+0 1.661482-2 1.174898+0 1.625421-2 1.202264+0 1.555634-2 1.216186+0 1.521970-2 1.230269+0 1.489035-2 1.250000+0 1.444693-2 1.273503+0 1.394455-2 1.288250+0 1.365255-2 1.303167+0 1.336681-2 1.333521+0 1.281315-2 1.348963+0 1.254579-2 1.364583+0 1.228403-2 1.412538+0 1.153109-2 1.428894+0 1.129828-2 1.445440+0 1.107026-2 1.479108+0 1.062795-2 1.500000+0 1.036801-2 1.531087+0 9.999262-3 1.566751+0 9.600951-3 1.584893+0 9.413997-3 1.603245+0 9.230764-3 1.640590+0 8.874923-3 1.659587+0 8.702734-3 1.678804+0 8.533886-3 1.717908+0 8.205957-3 1.737801+0 8.046752-3 1.757924+0 7.895976-3 1.778279+0 7.748100-3 1.798871+0 7.602986-3 1.840772+0 7.320867-3 1.862087+0 7.184211-3 1.883649+0 7.050105-3 1.927525+0 6.789359-3 1.949845+0 6.662630-3 1.972423+0 6.542776-3 2.000000+0 6.401163-3 2.044000+0 6.185354-3 2.065380+0 6.084752-3 2.113489+0 5.868576-3 2.162719+0 5.660080-3 2.213095+0 5.459004-3 2.238721+0 5.364374-3 2.264644+0 5.271424-3 2.317395+0 5.090326-3 2.344229+0 5.002128-3 2.398833+0 4.830799-3 2.454709+0 4.665338-3 2.511886+0 4.505554-3 2.540973+0 4.430279-3 2.570396+0 4.356296-3 2.630268+0 4.212016-3 2.660725+0 4.141681-3 2.754229+0 3.938240-3 2.818383+0 3.808197-3 2.884032+0 3.682453-3 2.917427+0 3.623170-3 2.951209+0 3.564866-3 3.019952+0 3.451057-3 3.054921+0 3.395525-3 3.162278+0 3.234716-3 3.235937+0 3.131765-3 3.311311+0 3.032096-3 3.349654+0 2.985006-3 3.388442+0 2.938665-3 3.507519+0 2.803919-3 3.548134+0 2.760393-3 3.672823+0 2.634190-3 3.758374+0 2.553277-3 3.845918+0 2.474853-3 3.890451+0 2.437749-3 3.935501+0 2.401214-3 4.120975+0 2.260474-3 4.315191+0 2.128350-3 4.415704+0 2.065214-3 4.518559+0 2.003953-3 4.570882+0 1.974891-3 4.623810+0 1.946262-3 4.677351+0 1.918049-3 4.897788+0 1.809225-3 5.188000+0 1.682147-3 5.370318+0 1.610226-3 5.495409+0 1.563998-3 5.559043+0 1.542059-3 5.623413+0 1.520436-3 5.688529+0 1.499117-3 5.888437+0 1.436936-3 6.165950+0 1.358251-3 6.382635+0 1.302079-3 6.531306+0 1.265929-3 6.606934+0 1.248722-3 6.683439+0 1.231754-3 6.839116+0 1.198508-3 7.161434+0 1.134684-3 7.244360+0 1.119301-3 7.762471+0 1.031286-3 8.035261+0 9.899089-4 8.222427+0 9.632517-4 8.317638+0 9.505386-4 8.511380+0 9.256223-4 8.912509+0 8.777318-4 9.772372+0 7.894573-4 1.011579+1 7.586937-4 1.035142+1 7.388539-4 1.047129+1 7.293613-4 1.071519+1 7.107479-4 1.135011+1 6.662646-4 1.258925+1 5.932478-4 1.303167+1 5.707323-4 1.333521+1 5.561996-4 1.348963+1 5.492266-4 1.380384+1 5.355464-4 1.513561+1 4.841487-4 1.640590+1 4.433201-4 1.698244+1 4.268938-4 1.778279+1 4.059357-4 1.819701+1 3.960385-4 1.905461+1 3.769672-4 2.113489+1 3.373476-4 2.264644+1 3.133199-4 2.317395+1 3.056971-4 2.426610+1 2.910039-4 2.454709+1 2.875004-4 2.483133+1 2.840391-4 2.630268+1 2.673509-4 3.162278+1 2.202586-4 3.198895+1 2.176114-4 3.349654+1 2.073371-4 3.388442+1 2.048452-4 3.548134+1 1.951739-4 3.589219+1 1.928644-4 3.890451+1 1.774479-4 5.069907+1 1.349552-4 5.128614+1 1.333604-4 5.559043+1 1.227121-4 5.623413+1 1.212620-4 6.025596+1 1.129142-4 6.095369+1 1.115975-4 6.606934+1 1.028019-4 8.709636+1 7.758203-5 8.810489+1 7.667825-5 1.011579+2 6.662010-5 1.023293+2 6.584400-5 1.174898+2 5.720709-5 1.202264+2 5.589196-5 1.318257+2 5.092722-5 1.737801+2 3.852586-5 1.757924+2 3.808076-5 2.018366+2 3.312417-5 2.041738+2 3.274147-5 2.344229+2 2.847988-5 2.398833+2 2.782924-5 2.630268+2 2.537216-5 6.918310+2 9.612695-6 6.998420+2 9.502307-6 8.035261+2 8.272483-6 8.128305+2 8.177485-6 9.332543+2 7.119130-6 9.549926+2 6.957017-6 2.089296+3 3.179095-6 1.000000+5 6.633041-8 1 24000 7 0 5.199600+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.960000-6 5.960000-6 6.370000-6 5.960000-6 6.370000-6 6.320760-6 6.460000-6 6.325869-6 6.460000-6 6.374578-6 8.020000-6 6.401884-6 5.020000-5 6.403705-6 5.020000-5 7.865219-6 5.125000-5 7.790794-6 5.125000-5 8.312968-6 5.650000-5 7.809248-6 5.900000-5 7.607359-6 6.165950-5 7.436954-6 6.382635-5 7.333875-6 6.690000-5 7.240735-6 7.000000-5 7.202311-6 7.350000-5 7.214610-6 7.730000-5 7.275611-6 7.919000-5 7.319749-6 7.919000-5 8.044621-6 8.730000-5 8.416233-6 9.950000-5 8.919379-6 1.135011-4 9.435115-6 1.273503-4 9.879204-6 1.380384-4 1.017566-5 1.531087-4 1.053007-5 1.698244-4 1.084953-5 1.949845-4 1.123625-5 2.187762-4 1.153844-5 2.511886-4 1.186947-5 2.917427-4 1.219136-5 3.467369-4 1.251831-5 4.100000-4 1.280351-5 4.954502-4 1.308888-5 5.808100-4 1.331080-5 5.808100-4 2.135978-5 5.827000-4 2.152162-5 5.872000-4 2.168854-5 5.897400-4 2.174283-5 5.897400-4 2.218359-5 5.950000-4 2.228718-5 6.130000-4 2.235508-5 6.873400-4 2.234414-5 6.873400-4 2.380853-5 8.035261-4 2.408675-5 1.258925-3 2.486231-5 1.862087-3 2.567382-5 2.660725-3 2.650696-5 3.630781-3 2.729033-5 4.677351-3 2.792170-5 5.957600-3 2.855970-5 5.957600-3 4.037956-5 9.549926-3 4.069774-5 1.972423-2 4.093973-5 5.688529-2 4.109507-5 6.683439-1 4.116639-5 1.000000+5 4.116988-5 1 24000 7 7 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.960000-6 0.0 5.020000-5 0.0 5.020000-5 2.06018-10 5.060000-5 2.02393-10 5.125000-5 1.95525-10 5.125000-5 2.71526-10 5.220000-5 2.59046-10 5.500000-5 2.19687-10 5.650000-5 1.99935-10 5.850000-5 1.76474-10 5.900000-5 1.71214-10 6.025596-5 1.58820-10 6.070000-5 1.54906-10 6.165950-5 1.46970-10 6.260000-5 1.40059-10 6.382635-5 1.32295-10 6.480000-5 1.27141-10 6.580000-5 1.22791-10 6.690000-5 1.19033-10 6.800000-5 1.16253-10 6.918310-5 1.14338-10 7.000000-5 1.13551-10 7.110000-5 1.13324-10 7.230000-5 1.13918-10 7.350000-5 1.15280-10 7.450000-5 1.16923-10 7.585776-5 1.19902-10 7.730000-5 1.23939-10 7.919000-5 1.30208-10 7.919000-5 1.83941-10 8.317638-5 2.04998-10 9.120108-5 2.47449-10 9.950000-5 2.89898-10 1.060000-4 3.21528-10 1.135011-4 3.55974-10 1.202264-4 3.84654-10 1.273503-4 4.12743-10 1.333521-4 4.34665-10 1.430000-4 4.66548-10 1.531087-4 4.95579-10 1.621810-4 5.18461-10 1.698244-4 5.36259-10 1.778279-4 5.53078-10 1.927525-4 5.81399-10 2.041738-4 6.00891-10 2.187762-4 6.23079-10 2.400000-4 6.50869-10 2.570396-4 6.69862-10 2.754229-4 6.87950-10 2.951209-4 7.04808-10 3.311311-4 7.30394-10 3.758374-4 7.55579-10 4.265795-4 7.77430-10 4.954502-4 7.99782-10 5.623413-4 8.16399-10 5.808100-4 8.20324-10 5.808100-4 1.002901-6 5.821032-4 1.018117-6 5.835000-4 1.028200-6 5.858000-4 1.038781-6 5.897400-4 1.050163-6 5.897400-4 1.153365-6 5.920000-4 1.164509-6 5.950000-4 1.171303-6 6.030000-4 1.178620-6 6.180000-4 1.183519-6 6.873400-4 1.181038-6 6.873400-4 1.209779-6 1.096478-3 1.214730-6 4.265795-3 1.223569-6 5.559043-3 1.225830-6 5.957600-3 1.228804-6 5.957600-3 1.337351-3 6.237348-3 1.341947-3 8.413951-3 1.354665-3 1.188502-2 1.364500-3 2.137962-2 1.373078-3 5.069907-2 1.377745-3 3.235937+0 1.379077-3 1.000000+5 1.379133-3 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.960000-6 0.0 6.370000-6 4.100000-7 6.370000-6 4.924039-8 6.460000-6 1.341309-7 6.460000-6 8.542173-8 6.606934-6 2.271084-7 6.839116-6 4.526546-7 7.244360-6 8.499696-7 8.128305-6 1.725844-6 5.020000-5 4.379629-5 5.020000-5 4.233457-5 5.125000-5 4.345901-5 5.125000-5 4.293676-5 6.070000-5 5.320712-5 6.918310-5 6.197516-5 7.919000-5 7.187012-5 7.919000-5 7.114519-5 1.244515-4 1.146583-4 1.905461-4 1.793700-4 3.935501-4 3.808130-4 5.808100-4 5.674984-4 5.808100-4 5.584473-4 6.030000-4 5.794849-4 6.873400-4 6.638148-4 6.873400-4 6.623217-4 5.957600-3 5.927811-3 5.957600-3 4.579870-3 1.174898-2 1.034388-2 1.000000+5 1.000000+5 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 5.957600-3 3.971409+4 6.150000-3 3.727500+4 7.000000-3 2.701640+4 9.332543-3 1.274232+4 1.174898-2 6.846639+3 1.462177-2 3.738748+3 1.778279-2 2.152022+3 2.137962-2 1.268878+3 2.576800-2 7.371918+2 3.126079-2 4.171586+2 3.845918-2 2.248006+2 4.786301-2 1.161612+2 6.165950-2 5.363384+1 8.317638-2 2.132786+1 1.548817-1 3.105534+0 1.927525-1 1.586736+0 2.317395-1 9.066615-1 2.691535-1 5.794329-1 3.090295-1 3.861240-1 3.507519-1 2.681345-1 3.935501-1 1.939163-1 4.365158-1 1.458895-1 4.841724-1 1.105503-1 5.370318-1 8.442070-2 5.888437-1 6.688617-2 6.456542-1 5.336405-2 7.085700-1 4.280501-2 7.762471-1 3.478694-2 8.511380-1 2.840808-2 9.440609-1 2.276105-2 1.022000+0 1.934600-2 1.148154+0 1.535054-2 1.273503+0 1.260421-2 1.412538+0 1.042297-2 1.566751+0 8.678379-3 1.737801+0 7.273413-3 1.949845+0 6.022339-3 2.213095+0 4.934426-3 2.511886+0 4.072620-3 2.884032+0 3.328577-3 3.311311+0 2.740700-3 3.845918+0 2.237032-3 4.518559+0 1.811372-3 5.495409+0 1.413705-3 6.531306+0 1.144276-3 8.222427+0 8.706866-4 1.035142+1 6.678528-4 1.333521+1 5.027470-4 1.778279+1 3.669242-4 2.426610+1 2.630405-4 3.548134+1 1.764204-4 6.025596+1 1.020635-4 1.174898+2 5.171057-5 2.344229+2 2.574295-5 9.332543+2 6.435377-6 1.000000+5 5.996100-8 1 24000 7 0 5.199600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 5.957600-3 4.204400-5 1.000000+5 4.204400-5 1 24000 7 7 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.957600-3 1.525500-3 1.000000+5 1.525500-3 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.957600-3 4.390056-3 1.000000+5 1.000000+5 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 6.873400-4 1.708923+5 7.500000-4 1.575930+5 7.673615-4 1.535028+5 9.332543-4 1.156285+5 9.850000-4 1.064484+5 1.161449-3 8.181122+4 1.258925-3 7.139859+4 1.462177-3 5.493014+4 1.611800-3 4.599463+4 1.862087-3 3.502764+4 2.065380-3 2.862400+4 2.371374-3 2.170173+4 2.691535-3 1.670679+4 3.054921-3 1.277829+4 3.548134-3 9.228357+3 4.073803-3 6.778621+3 4.677351-3 4.943120+3 5.370318-3 3.579388+3 6.165950-3 2.574306+3 7.161434-3 1.787915+3 8.317638-3 1.232347+3 9.660509-3 8.431660+2 1.122018-2 5.727719+2 1.318257-2 3.747147+2 1.548817-2 2.432281+2 1.819701-2 1.567240+2 2.137962-2 1.002627+2 2.540973-2 6.167448+1 3.019952-2 3.767116+1 3.630781-2 2.209471+1 4.415704-2 1.243601+1 5.432503-2 6.713109+0 6.839116-2 3.356216+0 8.912509-2 1.499387+0 1.584893-1 2.565975-1 2.137962-1 1.033200-1 2.511886-1 6.374973-2 2.884032-1 4.242651-2 3.311311-1 2.844041-2 3.715352-1 2.051922-2 4.168694-1 1.491397-2 4.623810-1 1.127275-2 5.128614-1 8.584884-3 5.623413-1 6.783534-3 6.165950-1 5.396451-3 6.760830-1 4.324038-3 7.413102-1 3.489243-3 8.128305-1 2.835529-3 8.912509-1 2.320309-3 9.660509-1 1.960191-3 1.096478+0 1.520521-3 1.202264+0 1.271069-3 1.333521+0 1.046543-3 1.479108+0 8.679259-4 1.640590+0 7.247649-4 1.840772+0 5.977860-4 2.065380+0 4.968313-4 2.344229+0 4.084505-4 2.660725+0 3.381794-4 3.054921+0 2.772858-4 3.548134+0 2.254088-4 4.120975+0 1.845863-4 4.897788+0 1.477343-4 5.888437+0 1.173321-4 7.161434+0 9.265538-5 8.912509+0 7.167670-5 1.135011+1 5.440854-5 1.513561+1 3.953194-5 2.113489+1 2.754493-5 3.162278+1 1.798772-5 5.069907+1 1.102107-5 8.709636+1 6.334820-6 1.737801+2 3.147245-6 6.918310+2 7.851032-7 1.000000+5 5.420800-9 1 24000 7 0 5.199600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 6.873400-4 3.535500-5 1.000000+5 3.535500-5 1 24000 7 7 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 6.873400-4 1.436400-6 1.000000+5 1.436400-6 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 6.873400-4 6.505486-4 1.000000+5 1.000000+5 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 5.897400-4 4.128900+5 5.903000-4 4.280200+5 5.907500-4 4.385000+5 5.912000-4 4.475800+5 5.920000-4 4.608800+5 5.931000-4 4.749800+5 5.935000-4 4.787381+5 5.950000-4 4.861324+5 5.990000-4 4.978463+5 6.015000-4 5.027377+5 6.065000-4 5.086788+5 6.130000-4 5.107331+5 6.180000-4 5.084029+5 6.280000-4 4.943665+5 6.390000-4 4.739826+5 6.606934-4 4.399055+5 6.930000-4 3.931300+5 7.413102-4 3.335500+5 8.035261-4 2.755900+5 8.810489-4 2.198300+5 9.700000-4 1.723000+5 1.047129-3 1.411000+5 1.216186-3 9.459400+4 1.350000-3 7.098100+4 1.548817-3 4.830300+4 1.778279-3 3.249900+4 2.018366-3 2.245900+4 2.344229-3 1.438400+4 2.660725-3 9.797400+3 3.054921-3 6.400700+3 3.548134-3 4.002500+3 4.120975-3 2.483100+3 4.786301-3 1.528800+3 5.559043-3 9.345900+2 6.456542-3 5.673300+2 7.500000-3 3.418700+2 8.709636-3 2.048300+2 1.023293-2 1.170600+2 1.216186-2 6.374900+1 1.445440-2 3.445500+1 1.737801-2 1.773600+1 2.113489-2 8.691200+0 2.600160-2 4.053100+0 3.273407-2 1.723200+0 4.415704-2 5.618900-1 7.762471-2 6.749576-2 9.772372-2 2.861017-2 1.174898-1 1.448776-2 1.380384-1 8.041972-3 1.621810-1 4.498866-3 1.862087-1 2.754978-3 2.113489-1 1.770240-3 2.371374-1 1.192590-3 2.660725-1 8.092626-4 2.985383-1 5.532562-4 3.349654-1 3.811949-4 3.715352-1 2.745275-4 4.120975-1 1.991459-4 4.518559-1 1.506815-4 4.954502-1 1.147506-4 5.432503-1 8.796669-5 5.956621-1 6.789738-5 6.531306-1 5.277830-5 7.161434-1 4.132769-5 7.852356-1 3.260768-5 8.609938-1 2.582777-5 9.120108-1 2.244897-5 9.660509-1 1.963417-5 1.023293+0 1.730008-5 1.096478+0 1.497239-5 1.161449+0 1.335402-5 1.250000+0 1.162800-5 1.364583+0 9.926176-6 1.640590+0 7.217643-6 1.840772+0 5.949974-6 2.044000+0 5.025200-6 2.317395+0 4.135947-6 2.630268+0 3.422166-6 3.019952+0 2.804062-6 3.507519+0 2.278176-6 4.120975+0 1.836616-6 4.897788+0 1.469857-6 5.888437+0 1.167382-6 7.161434+0 9.218933-7 8.912509+0 7.131566-7 1.135011+1 5.413457-7 1.513561+1 3.933296-7 2.113489+1 2.740621-7 3.198895+1 1.768325-7 5.128614+1 1.083647-7 8.810489+1 6.229527-8 1.757924+2 3.095183-8 6.998420+2 7.722003-9 1.000000+5 5.39350-11 1 24000 7 0 5.199600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 5.897400-4 2.354700-5 1.000000+5 2.354700-5 1 24000 7 7 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.897400-4 1.472600-6 1.000000+5 1.472600-6 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.897400-4 5.647204-4 1.000000+5 1.000000+5 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 5.808100-4 8.573120+5 5.814000-4 8.889480+5 5.821032-4 9.198036+5 5.827000-4 9.406240+5 5.835000-4 9.636960+5 5.845000-4 9.866360+5 5.858000-4 1.010828+6 5.872000-4 1.031964+6 5.890000-4 1.054036+6 5.915000-4 1.077636+6 5.940000-4 1.094224+6 5.965000-4 1.104436+6 5.995000-4 1.109192+6 6.030000-4 1.106088+6 6.065000-4 1.095916+6 6.165950-4 1.051247+6 7.079458-4 7.332676+5 8.035261-4 5.406510+5 8.810489-4 4.302105+5 9.772372-4 3.299883+5 1.096478-3 2.431021+5 1.216186-3 1.838277+5 1.364583-3 1.335606+5 1.548817-3 9.343394+4 1.778279-3 6.270009+4 2.000000-3 4.440920+4 2.300000-3 2.924600+4 2.660725-3 1.876219+4 3.019952-3 1.266982+4 3.467369-3 8.199665+3 4.027170-3 5.077654+3 4.731513-3 3.004183+3 5.559043-3 1.762328+3 6.500000-3 1.042000+3 7.500000-3 6.398720+2 8.709636-3 3.818288+2 1.011579-2 2.261652+2 1.188502-2 1.277254+2 1.400000-2 7.094440+1 1.659587-2 3.824240+1 1.972423-2 2.027916+1 2.398833-2 9.805500+0 2.951209-2 4.507526+0 3.715352-2 1.885033+0 5.000000-2 6.068564-1 8.609938-2 7.564162-2 1.059254-1 3.441031-2 1.288250-1 1.647788-2 1.500000-1 9.359811-3 1.717908-1 5.693719-3 1.949845-1 3.604796-3 2.187762-1 2.394728-3 2.426610-1 1.668098-3 2.691535-1 1.170029-3 2.985383-1 8.270020-4 3.273407-1 6.117586-4 3.589219-1 4.557364-4 3.935501-1 3.420737-4 4.265795-1 2.678778-4 4.623810-1 2.111338-4 5.011872-1 1.676040-4 5.432503-1 1.339494-4 5.888437-1 1.077801-4 6.382635-1 8.734649-5 6.918310-1 7.126762-5 7.498942-1 5.852401-5 8.413951-1 4.456919-5 9.015711-1 3.806279-5 9.660509-1 3.271830-5 1.035142+0 2.832806-5 1.135011+0 2.352846-5 1.230269+0 2.016380-5 1.364583+0 1.666508-5 1.531087+0 1.359707-5 1.717908+0 1.116301-5 1.927525+0 9.233358-6 2.162719+0 7.695500-6 2.454709+0 6.343332-6 2.818383+0 5.177901-6 3.235937+0 4.258430-6 3.758374+0 3.471939-6 4.415704+0 2.808281-6 5.370318+0 2.189563-6 6.382635+0 1.770590-6 8.035261+0 1.346141-6 1.011579+1 1.031777-6 1.303167+1 7.761992-7 1.698244+1 5.805037-7 2.317395+1 4.156594-7 3.388442+1 2.785774-7 5.623413+1 1.648952-7 1.023293+2 8.952233-8 2.041738+2 4.452896-8 8.128305+2 1.112232-8 1.000000+5 9.02370-11 1 24000 7 0 5.199600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 5.808100-4 2.345700-5 1.000000+5 2.345700-5 1 24000 7 7 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.808100-4 1.264000-6 1.000000+5 1.264000-6 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.808100-4 5.560890-4 1.000000+5 1.000000+5 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 7.919000-5 3.199120+5 8.000000-5 3.254940+5 8.150000-5 3.337380+5 8.317638-5 3.406035+5 8.511380-5 3.461511+5 8.730000-5 3.500120+5 9.015711-5 3.524383+5 9.400000-5 3.526900+5 9.900000-5 3.500100+5 1.060000-4 3.435480+5 1.150000-4 3.334120+5 1.244515-4 3.216597+5 1.333521-4 3.097533+5 1.430000-4 2.960040+5 1.531087-4 2.809838+5 1.640590-4 2.645234+5 1.760000-4 2.470120+5 1.927525-4 2.242261+5 2.150000-4 1.979312+5 2.400000-4 1.733308+5 2.660725-4 1.519317+5 2.951209-4 1.320070+5 3.311311-4 1.120268+5 3.801894-4 9.128555+4 4.265795-4 7.646710+4 4.841724-4 6.244185+4 5.623413-4 4.876335+4 6.382635-4 3.930021+4 7.413102-4 3.021556+4 8.511380-4 2.355775+4 1.000000-3 1.747834+4 1.161449-3 1.315839+4 1.380384-3 9.408127+3 1.640590-3 6.671010+3 1.927525-3 4.805469+3 2.264644-3 3.436823+3 2.660725-3 2.440063+3 3.090295-3 1.762600+3 3.589219-3 1.264163+3 4.027170-3 9.749524+2 4.518559-3 7.582974+2 4.897788-3 6.321309+2 5.248075-3 5.371797+2 5.559043-3 4.660831+2 5.698200-3 4.375994+2 5.821032-3 4.124564+2 5.956621-3 3.886602+2 6.025596-3 3.783868+2 6.165950-3 3.612904+2 6.456542-3 3.318494+2 6.683439-3 3.060919+2 6.918310-3 2.804369+2 7.498942-3 2.256931+2 8.035261-3 1.860673+2 8.810489-3 1.455979+2 9.885531-3 1.080373+2 1.355400-2 4.841843+1 1.584893-2 3.180723+1 1.883649-2 1.984204+1 2.264644-2 1.189802+1 2.691535-2 7.312380+0 3.198895-2 4.461440+0 3.845918-2 2.613226+0 4.677351-2 1.469064+0 5.688529-2 8.197649-1 7.244360-2 3.955139-1 9.885531-2 1.535712-1 1.621810-1 3.367062-2 2.065380-1 1.615996-2 2.454709-1 9.621666-3 2.851018-1 6.184065-3 3.273407-1 4.143105-3 3.672823-1 2.987504-3 4.120975-1 2.170009-3 4.570882-1 1.638932-3 5.069907-1 1.246988-3 5.559043-1 9.846738-4 6.095369-1 7.827248-4 6.683439-1 6.266258-4 7.328245-1 5.052189-4 8.035261-1 4.102544-4 8.810489-1 3.353929-4 9.549926-1 2.830732-4 1.047129+0 2.350121-4 1.161449+0 1.915715-4 1.288250+0 1.573366-4 1.428894+0 1.301744-4 1.584893+0 1.084569-4 1.757924+0 9.096718-5 1.972423+0 7.538078-5 2.238721+0 6.180497-5 2.540973+0 5.104285-5 2.917427+0 4.174534-5 3.349654+0 3.439345-5 3.890451+0 2.808896-5 4.570882+0 2.275606-5 5.559043+0 1.776778-5 6.606934+0 1.438856-5 8.317638+0 1.095268-5 1.047129+1 8.404581-6 1.348963+1 6.328687-6 1.819701+1 4.563072-6 2.483133+1 3.273028-6 3.589219+1 2.222529-6 6.095369+1 1.286035-6 1.202264+2 6.441075-7 2.398833+2 3.206960-7 9.549926+2 8.017915-8 1.000000+5 7.64490-10 1 24000 7 0 5.199600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 7.919000-5 1.884400-5 1.000000+5 1.884400-5 1 24000 7 7 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 7.919000-5 9.84470-10 1.000000+5 9.84470-10 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 7.919000-5 6.034502-5 1.000000+5 1.000000+5 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 5.125000-5 1.054040+6 5.160000-5 1.027892+6 5.220000-5 9.789580+5 5.308844-5 9.031638+5 5.400000-5 8.270260+5 5.545300-5 7.148849+5 6.070000-5 4.264900+5 6.220000-5 3.731460+5 6.350000-5 3.352220+5 6.480000-5 3.040260+5 6.580000-5 2.840680+5 6.690000-5 2.657300+5 6.800000-5 2.507600+5 6.900000-5 2.397420+5 7.000000-5 2.309080+5 7.110000-5 2.234160+5 7.215600-5 2.181431+5 7.330000-5 2.142700+5 7.450000-5 2.119660+5 7.585776-5 2.111834+5 7.730000-5 2.120840+5 7.900000-5 2.149500+5 8.080000-5 2.195780+5 8.317638-5 2.273999+5 9.332543-5 2.675425+5 9.772372-5 2.836131+5 1.020000-4 2.973060+5 1.060000-4 3.082720+5 1.100000-4 3.174680+5 1.150000-4 3.265580+5 1.202264-4 3.333959+5 1.260000-4 3.381420+5 1.318257-4 3.403674+5 1.380384-4 3.403248+5 1.450000-4 3.377620+5 1.513561-4 3.335242+5 1.584893-4 3.271643+5 1.678804-4 3.170547+5 1.778279-4 3.050090+5 1.900000-4 2.894820+5 2.018366-4 2.742473+5 2.162719-4 2.560772+5 2.317395-4 2.374643+5 2.483133-4 2.186470+5 2.660725-4 1.999070+5 2.851018-4 1.816072+5 3.100000-4 1.604268+5 3.388442-4 1.395430+5 3.700000-4 1.206582+5 4.027170-4 1.041142+5 4.365158-4 8.988094+4 4.841724-4 7.380463+4 5.370318-4 6.010132+4 5.888437-4 4.971194+4 6.531306-4 3.984394+4 7.328245-4 3.089784+4 8.222426-4 2.374988+4 9.332543-4 1.761337+4 1.047129-3 1.331905+4 1.190000-3 9.679520+3 1.333521-3 7.235006+3 1.500000-3 5.319580+3 1.698244-3 3.819647+3 1.927525-3 2.702222+3 2.187762-3 1.897280+3 2.483133-3 1.322200+3 2.818383-3 9.145177+2 3.198895-3 6.277608+2 3.630781-3 4.277417+2 4.120975-3 2.893953+2 4.731513-3 1.874935+2 5.432503-3 1.205487+2 6.237348-3 7.694717+1 7.244360-3 4.695442+1 8.413951-3 2.844412+1 9.772372-3 1.710415+1 1.135011-2 1.021117+1 1.333521-2 5.814373+0 1.566751-2 3.286421+0 1.862087-2 1.770017+0 2.238721-2 9.079263-1 2.754229-2 4.249761-1 3.507519-2 1.738684-1 4.365158-2 7.696889-2 7.673615-2 9.320611-3 9.772372-2 3.792363-3 1.174898-1 1.924014-3 1.380384-1 1.069617-3 1.603245-1 6.243349-4 1.840772-1 3.824772-4 2.089296-1 2.457416-4 2.371374-1 1.590435-4 2.660725-1 1.078475-4 2.985383-1 7.367586-5 3.311311-1 5.265217-5 3.672823-1 3.788862-5 4.073803-1 2.746483-5 4.518559-1 2.006314-5 5.000000-1 1.487700-5 5.495409-1 1.133594-5 6.025596-1 8.757529-6 6.606935-1 6.814361-6 7.244360-1 5.340893-6 8.609938-1 3.435570-6 9.120108-1 2.984032-6 9.660509-1 2.608260-6 1.023293+0 2.297151-6 1.096478+0 1.987481-6 1.161449+0 1.772472-6 1.250000+0 1.543400-6 1.364583+0 1.317823-6 1.659587+0 9.400205-7 1.862087+0 7.754310-7 2.065380+0 6.564873-7 2.344229+0 5.397067-7 2.660725+0 4.468533-7 3.054921+0 3.663908-7 3.548134+0 2.978438-7 4.120975+0 2.439036-7 4.897788+0 1.952099-7 5.888437+0 1.550406-7 7.244360+0 1.207654-7 8.912509+0 9.470994-8 1.135011+1 7.189233-8 1.513561+1 5.223542-8 2.113489+1 3.639628-8 3.198895+1 2.348356-8 5.128614+1 1.439119-8 8.810489+1 8.273028-9 1.757924+2 4.110495-9 6.998420+2 1.025511-9 1.000000+5 7.16280-12 1 24000 7 0 5.199600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 5.125000-5 1.281600-5 1.000000+5 1.281600-5 1 24000 7 7 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.125000-5 9.26930-10 1.000000+5 9.26930-10 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.125000-5 3.843307-5 1.000000+5 1.000000+5 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 5.020000-5 2.158824+6 5.060000-5 2.093780+6 5.128614-5 1.972398+6 5.190000-5 1.861524+6 5.300000-5 1.668860+6 5.450000-5 1.430980+6 5.850000-5 9.576640+5 6.025596-5 8.146107+5 6.165950-5 7.232514+5 6.260000-5 6.719800+5 6.382635-5 6.157091+5 6.480000-5 5.786520+5 6.580000-5 5.468480+5 6.690000-5 5.183760+5 6.800000-5 4.959200+5 6.900000-5 4.800800+5 7.000000-5 4.680640+5 7.110000-5 4.586960+5 7.230000-5 4.524400+5 7.350000-5 4.496800+5 7.450000-5 4.496320+5 7.585776-5 4.522807+5 7.730000-5 4.578680+5 7.900000-5 4.672440+5 8.150000-5 4.847800+5 9.120108-5 5.652659+5 9.549926-5 5.979482+5 9.950000-5 6.245360+5 1.040000-4 6.496920+5 1.083927-4 6.695036+5 1.135011-4 6.870711+5 1.190000-4 7.000600+5 1.244515-4 7.075442+5 1.303167-4 7.103577+5 1.364583-4 7.083634+5 1.430000-4 7.017200+5 1.500000-4 6.905480+5 1.584893-4 6.727253+5 1.678804-4 6.495235+5 1.778279-4 6.227136+5 1.905461-4 5.874597+5 2.041738-4 5.501193+5 2.187762-4 5.115273+5 2.350000-4 4.711080+5 2.511886-4 4.334535+5 2.691535-4 3.948925+5 2.917427-4 3.515580+5 3.162278-4 3.106873+5 3.467369-4 2.677659+5 3.758374-4 2.335063+5 4.100000-4 1.999820+5 4.500000-4 1.680364+5 4.954502-4 1.393718+5 5.500000-4 1.128576+5 6.025596-4 9.316534+4 6.606934-4 7.630531+4 7.328245-4 6.055806+4 8.222426-4 4.644984+4 9.225714-4 3.533455+4 1.035142-3 2.668581+4 1.161449-3 2.000170+4 1.303167-3 1.489204+4 1.462177-3 1.101341+4 1.640590-3 8.098135+3 1.840772-3 5.913580+3 2.089296-3 4.153326+3 2.371374-3 2.895466+3 2.691535-3 2.003250+3 3.054921-3 1.375479+3 3.467369-3 9.371761+2 4.027170-3 5.911937+2 4.466836-3 4.337170+2 4.786301-3 3.509098+2 5.069907-3 2.925102+2 5.370318-3 2.422308+2 5.698200-3 1.978010+2 5.821032-3 1.825757+2 5.956621-3 1.684279+2 6.025596-3 1.623879+2 6.165950-3 1.523996+2 6.456542-3 1.355481+2 6.606934-3 1.261051+2 6.839116-3 1.122904+2 7.079458-3 9.928830+1 7.585776-3 7.704497+1 8.035261-3 6.199119+1 8.709636-3 4.638358+1 9.549926-3 3.356215+1 1.083927-2 2.170756+1 1.355400-2 1.012405+1 1.584893-2 5.777230+0 1.883649-2 3.084633+0 2.264644-2 1.567033+0 2.754229-2 7.572193-1 3.427678-2 3.332258-1 4.216965-2 1.520990-1 8.413951-2 1.090392-2 1.047129-1 4.751280-3 1.258925-1 2.377225-3 1.479108-1 1.306627-3 1.698244-1 7.873891-4 1.927525-1 4.984614-4 2.162719-1 3.311950-4 2.398833-1 2.307067-4 2.660725-1 1.618076-4 2.951209-1 1.143437-4 3.235937-1 8.455775-5 3.548134-1 6.296565-5 3.890451-1 4.723532-5 4.216965-1 3.696895-5 4.570882-1 2.911771-5 4.954502-1 2.308619-5 5.370318-1 1.843639-5 5.821032-1 1.482438-5 6.309573-1 1.199959-5 6.839117-1 9.777489-6 7.413102-1 8.019905-6 8.128305-1 6.444280-6 8.810489-1 5.353874-6 9.440609-1 4.597494-6 1.011579+0 3.975289-6 1.122018+0 3.223737-6 1.216186+0 2.759938-6 1.348963+0 2.278262-6 1.500000+0 1.886100-6 1.678804+0 1.552930-6 1.883649+0 1.282586-6 2.113489+0 1.067477-6 2.398833+0 8.787740-7 2.754229+0 7.163796-7 3.162278+0 5.884528-7 3.672823+0 4.792159-7 4.315191+0 3.871996-7 5.188000+0 3.059936-7 6.165950+0 2.470669-7 7.762471+0 1.876030-7 9.772372+0 1.436187-7 1.258925+1 1.079328-7 1.640590+1 8.065891-8 2.264644+1 5.700180-8 3.349654+1 3.772987-8 5.559043+1 2.232939-8 1.011579+2 1.212053-8 2.018366+2 6.028476-9 8.035261+2 1.505653-9 1.000000+5 1.20760-11 1 24000 7 0 5.199600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 5.020000-5 1.277600-5 1.000000+5 1.277600-5 1 24000 7 7 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 5.020000-5 8.98250-10 1.000000+5 8.98250-10 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 5.020000-5 3.742310-5 1.000000+5 1.000000+5 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 6.460000-6 1.977848+6 6.760830-6 2.107778+6 7.161434-6 2.264440+6 7.600000-6 2.415940+6 8.128305-6 2.574084+6 8.609938-6 2.698279+6 9.225714-6 2.833722+6 9.885531-6 2.956479+6 1.071519-5 3.083057+6 1.174898-5 3.208131+6 1.310000-5 3.335140+6 1.500000-5 3.469000+6 1.717908-5 3.580008+6 2.018366-5 3.689238+6 2.317395-5 3.755850+6 2.580000-5 3.783520+6 2.818383-5 3.781741+6 3.054921-5 3.755880+6 3.300000-5 3.702920+6 3.548134-5 3.626572+6 3.758374-5 3.545102+6 4.000000-5 3.436800+6 4.265795-5 3.304609+6 4.518559-5 3.169671+6 4.800000-5 3.015240+6 5.128614-5 2.834184+6 5.500000-5 2.634900+6 5.900000-5 2.432140+6 6.382635-5 2.206790+6 6.918310-5 1.982659+6 7.500000-5 1.768514+6 8.128305-5 1.565891+6 8.709636-5 1.401772+6 9.440609-5 1.221856+6 1.011579-4 1.077789+6 1.083927-4 9.444898+5 1.174898-4 8.028010+5 1.273503-4 6.768179+5 1.380384-4 5.667767+5 1.500000-4 4.691520+5 1.640590-4 3.801463+5 1.778279-4 3.126731+5 1.937980-4 2.520000+5 2.113489-4 2.011340+5 2.317395-4 1.571826+5 2.540973-4 1.219925+5 2.818383-4 9.101877+4 3.126079-4 6.738695+4 3.467369-4 4.953375+4 3.890451-4 3.491534+4 4.365158-4 2.444107+4 4.897788-4 1.698309+4 5.495409-4 1.170606+4 6.237348-4 7.709898+3 7.000000-4 5.234200+3 8.000000-4 3.315440+3 9.120108-4 2.103083+3 1.035142-3 1.344028+3 1.174898-3 8.527962+2 1.333521-3 5.371781+2 1.513561-3 3.358848+2 1.717908-3 2.084688+2 1.949845-3 1.284009+2 2.213095-3 7.847315+1 2.483133-3 4.980907+1 2.818383-3 2.995999+1 3.507519-3 1.235893+1 3.890451-3 8.062233+0 4.265795-3 5.475945+0 4.623810-3 3.878196+0 4.731513-3 3.509049+0 5.011872-3 2.683537+0 5.248075-3 2.177012+0 5.432503-3 1.869488+0 5.623413-3 1.613423+0 5.731900-3 1.490848+0 6.237348-3 1.092778+0 6.456542-3 9.574107-1 6.683439-3 8.269149-1 6.918310-3 7.101375-1 7.244360-3 5.759027-1 8.035261-3 3.551631-1 8.609938-3 2.606497-1 9.332543-3 1.831018-1 1.000000-2 1.357861-1 1.161449-2 6.957423-2 1.364583-2 3.360494-2 1.717908-2 1.177186-2 2.187762-2 3.880383-3 3.054921-2 8.300770-4 5.011872-2 8.393444-5 6.760830-2 2.116283-5 8.128305-2 9.126548-6 9.549926-2 4.403995-6 1.109175-1 2.255670-6 1.273503-1 1.225712-6 1.445440-1 7.059879-7 1.621810-1 4.304528-7 1.819701-1 2.643630-7 2.018366-1 1.716519-7 2.238721-1 1.122960-7 2.483133-1 7.399036-8 2.754229-1 4.910350-8 3.054921-1 3.282712-8 3.349654-1 2.309606-8 3.672823-1 1.636090-8 4.000000-1 1.196800-8 4.365158-1 8.760955-9 4.731513-1 6.613020-9 5.188000-1 4.831586-9 5.623413-1 3.695877-9 6.095369-1 2.845133-9 6.606935-1 2.203979-9 7.161434-1 1.718996-9 7.762471-1 1.350387-9 8.511380-1 1.027317-9 8.912509-1 9.00059-10 9.332543-1 7.93222-10 9.772372-1 7.04051-10 1.011579+0 6.47339-10 1.059254+0 5.82674-10 1.109175+0 5.27967-10 1.161449+0 4.81467-10 1.230269+0 4.32295-10 1.333521+0 3.75017-10 1.531087+0 2.97614-10 1.798871+0 2.26363-10 2.000000+0 1.90350-10 2.264644+0 1.56759-10 2.570396+0 1.29546-10 2.951209+0 1.06021-10 3.388442+0 8.73995-11 3.935501+0 7.14173-11 4.677351+0 5.70402-11 5.688529+0 4.45806-11 6.839116+0 3.56419-11 8.511380+0 2.75298-11 1.071519+1 2.11404-11 1.380384+1 1.59285-11 1.905461+1 1.12097-11 2.630268+1 7.95093-12 3.890451+1 5.27691-12 6.606934+1 3.05728-12 1.318257+2 1.51493-12 2.630268+2 7.54657-13 2.089296+3 9.45368-14 1.000000+5 1.97370-15 1 24000 7 0 5.199600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 6.460000-6 6.460000-6 1.000000+5 6.460000-6 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 6.460000-6 0.0 1.000000+5 1.000000+5 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 6.370000-6 3.034500+6 6.606934-6 3.195117+6 6.918310-6 3.389053+6 7.244360-6 3.573768+6 7.673615-6 3.790195+6 8.128305-6 3.989197+6 8.609938-6 4.172980+6 9.225714-6 4.371907+6 9.885531-6 4.549061+6 1.071519-5 4.731819+6 1.174898-5 4.912713+6 1.310000-5 5.093970+6 1.479108-5 5.263193+6 1.730000-5 5.444730+6 2.018366-5 5.585116+6 2.300000-5 5.671650+6 2.580000-5 5.707080+6 2.818383-5 5.697357+6 3.080000-5 5.644140+6 3.311311-5 5.561751+6 3.548134-5 5.444906+6 3.800000-5 5.292630+6 4.027170-5 5.132833+6 4.300000-5 4.923270+6 4.570882-5 4.702651+6 4.900000-5 4.427430+6 5.248075-5 4.140060+6 5.650000-5 3.820080+6 6.025596-5 3.541122+6 6.531306-5 3.196172+6 7.000000-5 2.909988+6 7.585776-5 2.592642+6 8.128305-5 2.333210+6 8.709636-5 2.088073+6 9.332543-5 1.855872+6 9.900000-5 1.669566+6 1.071519-4 1.437045+6 1.150000-4 1.247229+6 1.230269-4 1.083451+6 1.350000-4 8.851290+5 1.479108-4 7.197939+5 1.621810-4 5.801471+5 1.778279-4 4.640356+5 1.949845-4 3.680398+5 2.137962-4 2.893226+5 2.344229-4 2.258178+5 2.570396-4 1.750409+5 2.851018-4 1.304153+5 3.162278-4 9.642585+4 3.507519-4 7.079077+4 3.935501-4 4.983357+4 4.415704-4 3.484314+4 4.954502-4 2.417977+4 5.559043-4 1.664360+4 6.309573-4 1.094563+4 7.079458-4 7.425925+3 8.035261-4 4.810313+3 9.120108-4 3.095644+3 1.035142-3 1.976619+3 1.174898-3 1.253205+3 1.333521-3 7.888038+2 1.513561-3 4.928311+2 1.717908-3 3.055966+2 1.949845-3 1.880348+2 2.187762-3 1.200726+2 2.454709-3 7.601691+1 2.786121-3 4.562817+1 3.185290-3 2.638810+1 3.630781-3 1.533752+1 4.216965-3 8.183100+0 4.897788-3 4.333790+0 5.754399-3 2.169629+0 7.079458-3 8.851931-1 8.317638-3 4.376183-1 9.660509-3 2.259452-1 1.096478-2 1.282182-1 1.288250-2 6.187457-2 1.548817-2 2.669760-2 1.905461-2 1.029316-2 2.426610-2 3.358232-3 3.273407-2 8.323328-4 5.308844-2 8.704283-5 7.079458-2 2.286436-5 8.413951-2 1.032348-5 9.772372-2 5.218218-6 1.122019-1 2.797538-6 1.273503-1 1.591296-6 1.428894-1 9.597462-7 1.584893-1 6.130397-7 1.757924-1 3.943752-7 1.949845-1 2.556474-7 2.137962-1 1.750326-7 2.344229-1 1.206781-7 2.540973-1 8.772338-8 2.754229-1 6.418683-8 3.000000-1 4.643600-8 3.235937-1 3.509872-8 3.507519-1 2.623787-8 3.801894-1 1.975647-8 4.168694-1 1.440174-8 4.466836-1 1.143044-8 4.786301-1 9.131257-9 5.069907-1 7.616730-9 5.432503-1 6.175859-9 5.888437-1 4.873753-9 6.456542-1 3.742878-9 6.918310-1 3.089594-9 7.413102-1 2.567390-9 7.943282-1 2.149707-9 8.511380-1 1.811376-9 9.120108-1 1.537359-9 9.660509-1 1.349586-9 1.023293+0 1.192530-9 1.109175+0 1.011094-9 1.202264+0 8.64282-10 1.303167+0 7.43976-10 1.428894+0 6.31161-10 1.659587+0 4.87238-10 1.862087+0 4.02021-10 2.065380+0 3.40414-10 2.344229+0 2.79867-10 2.660725+0 2.31713-10 3.054921+0 1.89984-10 3.548134+0 1.54441-10 4.120975+0 1.26471-10 4.897788+0 1.01221-10 5.888437+0 8.03918-11 7.161434+0 6.34838-11 8.912509+0 4.91104-11 1.135011+1 3.72786-11 1.513561+1 2.70861-11 2.113489+1 1.88730-11 3.162278+1 1.23255-11 5.069907+1 7.55121-12 8.709636+1 4.34037-12 1.737801+2 2.15640-12 6.918310+2 5.37925-13 1.000000+5 3.71420-15 1 24000 7 0 5.199600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 6.370000-6 6.370000-6 1.000000+5 6.370000-6 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 6.370000-6 0.0 1.000000+5 1.000000+5 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 5.960000-6 6.591749+5 6.200000-6 5.025670+5 6.350000-6 4.239310+5 6.531306-6 3.442199+5 6.683439-6 2.882517+5 6.839116-6 2.398085+5 6.930000-6 2.150200+5 7.079458-6 1.791419+5 7.200000-6 1.541720+5 7.328245-6 1.309817+5 7.460000-6 1.103210+5 7.585776-6 9.321316+4 7.700000-6 7.963420+4 7.810000-6 6.812590+4 7.920000-6 5.799340+4 8.020000-6 4.985520+4 8.128305-6 4.207525+4 8.222426-6 3.610484+4 8.310000-6 3.114830+4 8.380000-6 2.756760+4 8.460000-6 2.385860+4 8.520000-6 2.132630+4 8.600000-6 1.826090+4 8.650000-6 1.651400+4 8.709636-6 1.458973+4 8.770000-6 1.280840+4 8.830000-6 1.119440+4 8.880000-6 9.962130+3 8.940000-6 8.610890+3 9.000000-6 7.391190+3 9.050000-6 6.469530+3 9.100000-6 5.629550+3 9.150000-6 4.867070+3 9.200000-6 4.178340+3 9.240000-6 3.677880+3 9.280000-6 3.220470+3 9.310000-6 2.904570+3 9.350000-6 2.518160+3 9.380000-6 2.253670+3 9.420000-6 1.933400+3 9.460000-6 1.648740+3 9.500000-6 1.398290+3 9.550000-6 1.131110+3 9.620000-6 8.380940+2 9.660000-6 7.107240+2 9.685000-6 6.452160+2 9.707000-6 5.962630+2 9.723000-6 5.656570+2 9.740000-6 5.376590+2 9.755000-6 5.167550+2 9.772372-6 4.969171+2 9.785000-6 4.853940+2 9.800000-6 4.748270+2 9.815000-6 4.675920+2 9.830000-6 4.636370+2 9.845000-6 4.629060+2 9.860000-6 4.653470+2 9.875000-6 4.709090+2 9.890000-6 4.795380+2 9.905000-6 4.911840+2 9.920000-6 5.057970+2 9.937000-6 5.258820+2 9.960000-6 5.588930+2 9.980000-6 5.929350+2 1.001000-5 6.530520+2 1.005000-5 7.495360+2 1.015000-5 1.067270+3 1.020000-5 1.264210+3 1.023293-5 1.406818+3 1.027000-5 1.579020+3 1.031000-5 1.778110+3 1.035142-5 1.998106+3 1.039000-5 2.215040+3 1.044000-5 2.512580+3 1.048000-5 2.763210+3 1.052000-5 3.024430+3 1.057000-5 3.365030+3 1.062000-5 3.720320+3 1.067000-5 4.089330+3 1.073000-5 4.548960+3 1.079000-5 5.025520+3 1.085000-5 5.517580+3 1.092000-5 6.109450+3 1.100000-5 6.806890+3 1.107000-5 7.433450+3 1.115000-5 8.165800+3 1.123000-5 8.913220+3 1.131000-5 9.673490+3 1.142000-5 1.073600+4 1.150000-5 1.151880+4 1.161449-5 1.264992+4 1.172000-5 1.370020+4 1.185000-5 1.499980+4 1.200000-5 1.650050+4 1.216186-5 1.811363+4 1.230269-5 1.950626+4 1.245000-5 2.094720+4 1.260000-5 2.239400+4 1.280000-5 2.428460+4 1.300000-5 2.612520+4 1.320000-5 2.791060+4 1.340000-5 2.963710+4 1.365000-5 3.170850+4 1.390000-5 3.368090+4 1.420000-5 3.591540+4 1.450000-5 3.800620+4 1.480000-5 3.995560+4 1.515000-5 4.205630+4 1.554900-5 4.423166+4 1.603245-5 4.657159+4 1.650000-5 4.854740+4 1.698244-5 5.031683+4 1.757924-5 5.216230+4 1.819701-5 5.371748+4 1.883649-5 5.499716+4 1.950000-5 5.601980+4 2.041738-5 5.700354+4 2.137962-5 5.759603+4 2.238721-5 5.783844+4 2.371374-5 5.772107+4 2.511886-5 5.721083+4 2.691535-5 5.616490+4 2.900000-5 5.461970+4 3.150000-5 5.254560+4 3.467369-5 4.982591+4 3.845918-5 4.669294+4 4.315191-5 4.310392+4 4.897788-5 3.917155+4 5.500000-5 3.564940+4 6.165950-5 3.227248+4 6.918310-5 2.898338+4 7.673615-5 2.611356+4 8.511380-5 2.335112+4 9.332543-5 2.099555+4 1.023293-4 1.875919+4 1.135011-4 1.641068+4 1.273503-4 1.403728+4 1.445440-4 1.173549+4 1.698244-4 9.270528+3 2.137962-4 6.554292+3 2.754229-4 4.450709+3 3.388442-4 3.219650+3 3.890451-4 2.577173+3 4.365158-4 2.124989+3 5.128614-4 1.608625+3 6.095369-4 1.186033+3 7.413102-4 8.322233+2 8.810489-4 6.046317+2 1.047129-3 4.359292+2 1.244515-3 3.118646+2 1.479108-3 2.214338+2 1.757924-3 1.560530+2 2.162719-3 1.016599+2 2.570396-3 7.062701+1 3.000000-3 5.060093+1 3.507519-3 3.576703+1 4.027170-3 2.618495+1 4.570882-3 1.978367+1 4.954502-3 1.645325+1 5.308844-3 1.396417+1 5.698200-3 1.171499+1 5.888437-3 1.073435+1 6.025596-3 1.014724+1 6.165950-3 9.651579+0 6.456542-3 8.832406+0 6.760830-3 7.979945+0 7.161434-3 6.974825+0 7.585776-3 6.051042+0 8.128305-3 5.061467+0 8.810489-3 4.075117+0 1.000000-2 2.868697+0 1.230269-2 1.671634+0 1.462177-2 1.058178+0 1.698244-2 7.064516-1 2.018366-2 4.397351-1 2.398833-2 2.715866-1 2.851018-2 1.665000-1 3.427678-2 9.802751-2 4.168694-2 5.538376-2 5.069907-2 3.105563-2 6.309573-2 1.612681-2 8.222426-2 7.233308-3 1.071519-1 3.222204-3 1.621810-1 9.045851-4 2.065380-1 4.341770-4 2.454709-1 2.585245-4 2.851018-1 1.661732-4 3.273407-1 1.113415-4 3.672823-1 8.029600-5 4.120975-1 5.833466-5 4.570882-1 4.406851-5 5.069907-1 3.354087-5 5.559043-1 2.649597-5 6.095369-1 2.107264-5 6.683439-1 1.688053-5 7.328245-1 1.362064-5 8.035261-1 1.107174-5 8.810489-1 9.066870-6 9.549926-1 7.661998-6 1.059254+0 6.221957-6 1.174898+0 5.077778-6 1.303167+0 4.173702-6 1.445440+0 3.454106-6 1.603245+0 2.879101-6 1.778279+0 2.416527-6 2.000000+0 1.996600-6 2.264644+0 1.644452-6 2.570396+0 1.358973-6 2.951209+0 1.112112-6 3.388442+0 9.167628-7 3.935501+0 7.491079-7 4.623810+0 6.071881-7 5.623413+0 4.743317-7 6.683439+0 3.843022-7 8.317638+0 2.966097-7 1.047129+1 2.276009-7 1.348963+1 1.713856-7 1.819701+1 1.235669-7 2.454709+1 8.972064-8 3.589219+1 6.018793-8 6.095369+1 3.482626-8 1.202264+2 1.744238-8 2.398833+2 8.684636-9 9.549926+2 2.171285-9 1.000000+5 2.07030-11 1 24000 7 0 5.199600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 5.960000-6 5.960000-6 1.000000+5 5.960000-6 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 5.960000-6 0.0 1.000000+5 1.000000+5 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.512310-8 1.028750+0 2.512310-7 1.033200+0 1.134020-6 1.034000+0 1.392120-6 1.035300+0 1.889600-6 1.036640+0 2.512310-6 1.038200+0 3.390440-6 1.039700+0 4.404870-6 1.041500+0 5.860630-6 1.043800+0 8.134740-6 1.046400+0 1.131800-5 1.048300+0 1.409120-5 1.051200+0 1.911440-5 1.054080+0 2.512310-5 1.057700+0 3.424430-5 1.061100+0 4.454320-5 1.065100+0 5.897000-5 1.070400+0 8.226900-5 1.076200+0 1.136950-4 1.080600+0 1.419870-4 1.087100+0 1.913040-4 1.093710+0 2.512310-4 1.102600+0 3.483360-4 1.110700+0 4.543110-4 1.120600+0 6.077550-4 1.133300+0 8.450830-4 1.147500+0 1.166850-3 1.158200+0 1.450100-3 1.174100+0 1.938010-3 1.190110+0 2.512310-3 1.205100+0 3.126620-3 1.227500+0 4.183910-3 1.250000+0 5.409000-3 1.280300+0 7.301580-3 1.307700+0 9.237810-3 1.343000+0 1.202380-2 1.382200+0 1.546980-2 1.433800+0 2.052290-2 1.500000+0 2.782000-2 1.562500+0 3.554490-2 1.617200+0 4.294520-2 1.712900+0 5.720070-2 1.784700+0 6.884870-2 1.892300+0 8.751620-2 2.000000+0 1.072000-1 2.044000+0 1.154000-1 2.163500+0 1.379950-1 2.372600+0 1.781430-1 2.647100+0 2.308810-1 3.000000+0 2.976000-1 3.437500+0 3.781070-1 4.000000+0 4.765000-1 4.750000+0 5.968160-1 5.000000+0 6.346000-1 6.000000+0 7.756000-1 7.000000+0 9.010000-1 8.000000+0 1.014000+0 9.000000+0 1.116000+0 1.000000+1 1.208000+0 1.100000+1 1.292000+0 1.200000+1 1.369000+0 1.300000+1 1.440000+0 1.400000+1 1.507000+0 1.500000+1 1.568000+0 1.600000+1 1.626000+0 1.800000+1 1.733000+0 2.000000+1 1.827000+0 2.200000+1 1.913000+0 2.400000+1 1.991000+0 2.600000+1 2.062000+0 2.800000+1 2.128000+0 3.000000+1 2.189000+0 4.000000+1 2.436000+0 5.000000+1 2.621000+0 6.000000+1 2.766000+0 8.000000+1 2.982000+0 1.000000+2 3.136000+0 1.500000+2 3.386000+0 2.000000+2 3.537000+0 3.000000+2 3.715000+0 4.000000+2 3.818000+0 5.000000+2 3.886000+0 6.000000+2 3.935000+0 8.000000+2 4.001000+0 1.000000+3 4.043000+0 1.500000+3 4.105000+0 2.000000+3 4.139000+0 3.000000+3 4.175000+0 4.000000+3 4.195000+0 5.000000+3 4.207000+0 6.000000+3 4.216000+0 8.000000+3 4.227000+0 1.000000+4 4.234000+0 1.500000+4 4.244000+0 2.000000+4 4.250000+0 3.000000+4 4.255000+0 4.000000+4 4.258000+0 5.000000+4 4.260000+0 6.000000+4 4.261000+0 8.000000+4 4.263000+0 1.000000+5 4.264000+0 1 24000 7 8 5.199600+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 2.409910-7 2.114000+0 1.086390-6 2.119500+0 1.352550-6 2.127900+0 1.834310-6 2.136250+0 2.409910-6 2.147000+0 3.304160-6 2.156900+0 4.291700-6 2.169000+0 5.727540-6 2.184500+0 7.961480-6 2.201800+0 1.101490-5 2.214800+0 1.372370-5 2.234200+0 1.846090-5 2.253680+0 2.409910-5 2.281500+0 3.375510-5 2.307000+0 4.433720-5 2.338200+0 5.961520-5 2.377400+0 8.256010-5 2.410200+0 1.050030-4 2.446800+0 1.335690-4 2.485900+0 1.681710-4 2.532900+0 2.152220-4 2.556430+0 2.409910-4 2.611900+0 3.072890-4 2.660400+0 3.714940-4 2.745300+0 4.972160-4 2.809000+0 6.021540-4 2.904500+0 7.757100-4 3.000000+0 9.683000-4 3.125000+0 1.248640-3 3.234400+0 1.519390-3 3.425800+0 2.046300-3 3.569300+0 2.481590-3 3.784700+0 3.190590-3 4.000000+0 3.953000-3 4.250000+0 4.885360-3 4.625000+0 6.351030-3 5.000000+0 7.875000-3 5.500000+0 9.967240-3 6.000000+0 1.209000-2 6.750000+0 1.525670-2 7.000000+0 1.630000-2 8.000000+0 2.038000-2 9.000000+0 2.428000-2 1.000000+1 2.800000-2 1.100000+1 3.152000-2 1.200000+1 3.485000-2 1.300000+1 3.799000-2 1.400000+1 4.098000-2 1.500000+1 4.382000-2 1.600000+1 4.652000-2 1.800000+1 5.153000-2 2.000000+1 5.610000-2 2.200000+1 6.030000-2 2.400000+1 6.417000-2 2.600000+1 6.776000-2 2.800000+1 7.109000-2 3.000000+1 7.420000-2 4.000000+1 8.717000-2 5.000000+1 9.712000-2 6.000000+1 1.051000-1 8.000000+1 1.173000-1 1.000000+2 1.262000-1 1.500000+2 1.413000-1 2.000000+2 1.509000-1 3.000000+2 1.628000-1 4.000000+2 1.701000-1 5.000000+2 1.751000-1 6.000000+2 1.788000-1 8.000000+2 1.839000-1 1.000000+3 1.873000-1 1.500000+3 1.924000-1 2.000000+3 1.954000-1 3.000000+3 1.986000-1 4.000000+3 2.005000-1 5.000000+3 2.016000-1 6.000000+3 2.024000-1 8.000000+3 2.035000-1 1.000000+4 2.042000-1 1.500000+4 2.052000-1 2.000000+4 2.057000-1 3.000000+4 2.062000-1 4.000000+4 2.066000-1 5.000000+4 2.068000-1 6.000000+4 2.069000-1 8.000000+4 2.071000-1 1.000000+5 2.072000-1 1 24000 7 8 5.199600+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 24000 7 9 5.199600+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 2.400000+1 1.000000+5 2.400000+1 5.000000+5 2.398500+1 7.187500+5 2.397400+1 8.125000+5 2.397030+1 1.000000+6 2.396400+1 1.500000+6 2.393400+1 1.750000+6 2.390920+1 2.000000+6 2.388400+1 2.500000+6 2.382000+1 3.000000+6 2.374400+1 3.500000+6 2.365280+1 4.000000+6 2.355500+1 4.500000+6 2.344740+1 5.000000+6 2.333100+1 5.500000+6 2.319950+1 6.156200+6 2.301570+1 6.500000+6 2.291620+1 6.718700+6 2.284870+1 7.000000+6 2.276500+1 7.500000+6 2.260960+1 8.250000+6 2.236710+1 8.500000+6 2.228640+1 9.000000+6 2.212100+1 1.000000+7 2.178000+1 1.125000+7 2.134510+1 1.187500+7 2.112350+1 1.250000+7 2.090200+1 1.437500+7 2.022740+1 1.500000+7 2.000500+1 1.687500+7 1.934400+1 1.750000+7 1.912600+1 1.937500+7 1.847100+1 2.000000+7 1.825400+1 2.250000+7 1.738910+1 2.500000+7 1.654600+1 2.750000+7 1.572890+1 2.875000+7 1.533100+1 3.000000+7 1.494300+1 3.250000+7 1.419070+1 3.437500+7 1.365380+1 3.625000+7 1.314280+1 4.000000+7 1.219600+1 4.500000+7 1.108820+1 5.000000+7 1.015300+1 5.500000+7 9.370360+0 6.000000+7 8.723700+0 6.750000+7 7.964980+0 7.000000+7 7.756900+0 7.750000+7 7.236090+0 8.000000+7 7.088600+0 9.000000+7 6.581400+0 1.000000+8 6.145900+0 1.085900+8 5.794720+0 1.144500+8 5.560130+0 1.214800+8 5.281160+0 1.250000+8 5.142200+0 1.335900+8 4.804730+0 1.429700+8 4.446850+0 1.500000+8 4.189400+0 1.589800+8 3.876130+0 1.665000+8 3.628330+0 1.748800+8 3.368810+0 1.750000+8 3.365210+0 1.838500+8 3.110040+0 1.946200+8 2.824220+0 2.000000+8 2.691500+0 2.218800+8 2.230610+0 2.250000+8 2.177150+0 2.315400+8 2.075380+0 2.381300+8 1.986960+0 2.460400+8 1.898890+0 2.500000+8 1.861800+0 2.562500+8 1.812290+0 2.671900+8 1.742700+0 2.877000+8 1.630400+0 2.959000+8 1.582230+0 3.000000+8 1.556200+0 3.062500+8 1.513830+0 3.335900+8 1.331320+0 3.445300+8 1.274050+0 3.500000+8 1.250700+0 3.562500+8 1.228550+0 3.671900+8 1.198500+0 4.000000+8 1.133600+0 4.179700+8 1.094280+0 4.330100+8 1.058290+0 4.569300+8 9.992560-1 5.000000+8 8.994000-1 5.437500+8 8.128280-1 5.718800+8 7.606310-1 5.929700+8 7.216140-1 6.000000+8 7.086000-1 6.250000+8 6.623640-1 6.812500+8 5.715460-1 7.000000+8 5.476000-1 7.625000+8 4.846440-1 7.875000+8 4.601990-1 8.000000+8 4.473000-1 8.125000+8 4.338000-1 8.359400+8 4.075020-1 8.564500+8 3.842090-1 8.743900+8 3.640970-1 9.057900+8 3.303350-1 9.529000+8 2.848340-1 1.000000+9 2.466000-1 1.062500+9 2.064300-1 1.281300+9 1.207830-1 1.390600+9 9.516310-2 1.472700+9 8.009350-2 1.500000+9 7.569800-2 1.562500+9 6.660600-2 1.671900+9 5.352910-2 1.753900+9 4.566090-2 1.877000+9 3.628270-2 2.000000+9 2.915000-2 2.187500+9 2.131240-2 2.363300+9 1.621390-2 2.692900+9 1.015400-2 2.981300+9 7.018890-3 3.485900+9 3.953740-3 4.243000+9 1.906590-3 5.000000+9 1.032900-3 8.000000+9 1.784700-4 9.500000+9 9.430940-5 1.00000+10 7.803400-5 1.20500+10 3.941750-5 1.41820+10 2.185550-5 1.71170+10 1.114630-5 2.01490+10 6.256680-6 2.26440+10 4.152580-6 2.74790+10 2.117760-6 3.20120+10 1.251260-6 3.62610+10 8.169860-7 4.42280+10 4.165090-7 5.12000+10 2.545880-7 6.34000+10 1.248270-7 7.94120+10 5.933900-8 1.00000+11 2.790600-8 1.17140+11 1.669360-8 1.55940+11 6.638950-9 2.04410+11 2.798710-9 2.99030+11 8.41904-10 4.21500+11 2.88301-10 7.29680+11 5.31150-11 1.17140+12 1.25888-11 2.36600+12 1.52631-12 6.03280+12 9.58098-14 1.00000+14 2.67420-17 5.62340+14 1.68008-19 7.49890+15 7.66634-23 1.00000+17 3.30970-26 1 24000 7 0 5.199600+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 4.60000-12 1.000000+2 4.60000-10 1.000000+3 4.600000-8 1.000000+4 4.600000-6 1.000000+5 4.600000-4 5.000000+5 1.150000-2 7.187500+5 2.376367-2 8.125000+5 3.036719-2 1.000000+6 4.600000-2 1.500000+6 1.035000-1 1.750000+6 1.400230-1 2.000000+6 1.814000-1 2.500000+6 2.784000-1 3.000000+6 3.922000-1 3.500000+6 5.204880-1 4.000000+6 6.609000-1 4.500000+6 8.108300-1 5.000000+6 9.680000-1 5.500000+6 1.130210+0 6.156200+6 1.348010+0 6.500000+6 1.463310+0 6.718700+6 1.536680+0 7.000000+6 1.631200+0 7.500000+6 1.798290+0 8.250000+6 2.046600+0 8.500000+6 2.128470+0 9.000000+6 2.290800+0 1.000000+7 2.609000+0 1.125000+7 2.996940+0 1.187500+7 3.187850+0 1.250000+7 3.377200+0 1.437500+7 3.937730+0 1.500000+7 4.123000+0 1.687500+7 4.674660+0 1.750000+7 4.857300+0 1.937500+7 5.398610+0 2.000000+7 5.577000+0 2.250000+7 6.274830+0 2.500000+7 6.947500+0 2.750000+7 7.590310+0 2.875000+7 7.901120+0 3.000000+7 8.206000+0 3.250000+7 8.794220+0 3.437500+7 9.219470+0 3.625000+7 9.630870+0 4.000000+7 1.041500+1 4.500000+7 1.138300+1 5.000000+7 1.226400+1 5.500000+7 1.305900+1 6.000000+7 1.377000+1 6.750000+7 1.468760+1 7.000000+7 1.496000+1 7.750000+7 1.568500+1 8.000000+7 1.590200+1 9.000000+7 1.667000+1 1.000000+8 1.732300+1 1.085900+8 1.782330+1 1.144500+8 1.813950+1 1.214800+8 1.849670+1 1.250000+8 1.866800+1 1.335900+8 1.906180+1 1.429700+8 1.945580+1 1.500000+8 1.973000+1 1.589800+8 2.005050+1 1.665000+8 2.029600+1 1.748800+8 2.054660+1 1.750000+8 2.054990+1 1.838500+8 2.078960+1 1.946200+8 2.104930+1 2.000000+8 2.116800+1 2.218800+8 2.157300+1 2.250000+8 2.162340+1 2.315400+8 2.172330+1 2.381300+8 2.181720+1 2.460400+8 2.192010+1 2.500000+8 2.197000+1 2.562500+8 2.204180+1 2.671900+8 2.215960+1 2.877000+8 2.235210+1 2.959000+8 2.242180+1 3.000000+8 2.245600+1 3.062500+8 2.250300+1 3.335900+8 2.269490+1 3.445300+8 2.276410+1 3.500000+8 2.279800+1 3.562500+8 2.283360+1 3.671900+8 2.289470+1 4.000000+8 2.306500+1 4.179700+8 2.314510+1 4.330100+8 2.320970+1 4.569300+8 2.330330+1 5.000000+8 2.344900+1 5.437500+8 2.356780+1 5.718800+8 2.363030+1 5.929700+8 2.367280+1 6.000000+8 2.368600+1 6.250000+8 2.372580+1 6.812500+8 2.380140+1 7.000000+8 2.382300+1 7.625000+8 2.387490+1 7.875000+8 2.389240+1 8.000000+8 2.390000+1 8.125000+8 2.390580+1 8.359400+8 2.391640+1 8.564500+8 2.392550+1 8.743900+8 2.393320+1 9.057900+8 2.394360+1 9.529000+8 2.395560+1 1.000000+9 2.396700+1 1.062500+9 2.397550+1 1.281300+9 2.399060+1 1.390600+9 2.399520+1 1.472700+9 2.399670+1 1.500000+9 2.399700+1 1.562500+9 2.399740+1 1.671900+9 2.399810+1 1.753900+9 2.399860+1 1.877000+9 2.399930+1 2.000000+9 2.400000+1 2.187500+9 2.400000+1 2.363300+9 2.400000+1 2.692900+9 2.400000+1 2.981300+9 2.400000+1 3.485900+9 2.400000+1 4.243000+9 2.400000+1 5.000000+9 2.400000+1 8.000000+9 2.400000+1 9.500000+9 2.400000+1 1.00000+10 2.400000+1 1.20500+10 2.400000+1 1.41820+10 2.400000+1 1.71170+10 2.400000+1 2.01490+10 2.400000+1 2.26440+10 2.400000+1 2.74790+10 2.400000+1 3.20120+10 2.400000+1 3.62610+10 2.400000+1 4.42280+10 2.400000+1 5.12000+10 2.400000+1 6.34000+10 2.400000+1 7.94120+10 2.400000+1 1.00000+11 2.400000+1 1.17140+11 2.400000+1 1.55940+11 2.400000+1 2.04410+11 2.400000+1 2.99030+11 2.400000+1 4.21500+11 2.400000+1 7.29680+11 2.400000+1 1.17140+12 2.400000+1 2.36600+12 2.400000+1 6.03280+12 2.400000+1 1.00000+14 2.400000+1 5.62340+14 2.400000+1 7.49890+15 2.400000+1 1.00000+17 2.400000+1 1 24000 7 0 5.199600+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.682982-6 0.0 2.694538-6 1.610681+0 2.696189-6 1.838431+0 2.702248-6 3.232201+0 2.702793-6 3.510830+0 2.709397-6 7.665229+0 2.716001-6 1.271293+1 2.722605-6 1.968916+1 2.730034-6 2.978366+1 2.746234-6 5.433407+1 2.749433-6 5.864120+1 2.756980-6 6.534993+1 2.762475-6 6.742324+1 2.769531-6 6.510634+1 2.776626-6 5.817744+1 2.785817-6 4.472221+1 2.795365-6 2.937814+1 2.802016-6 2.002293+1 2.808667-6 1.264689+1 2.815319-6 6.977105+0 2.821970-6 3.838163+0 2.831947-6 9.756766-1 2.835272-6 0.0 3.076515-6 0.0 3.090241-6 5.48565-14 3.091660-6 6.04764-14 3.095781-6 8.76498-14 3.111140-6 5.801370-1 3.118963-6 1.076504+0 3.126614-6 1.809448+0 3.134381-6 2.825836+0 3.157413-6 6.479854+0 3.165168-6 7.279561+0 3.172218-6 7.604995+0 3.180428-6 7.415209+0 3.192523-6 6.278356+0 3.202459-6 5.198777+0 3.210079-6 4.599062+0 3.218652-6 4.344541+0 3.226272-6 4.425105+0 3.241471-6 4.896607+0 3.256136-6 4.776164+0 3.262962-6 4.437141+0 3.277802-6 3.100579+0 3.286365-6 2.230970+0 3.294166-6 1.539305+0 3.301967-6 9.910824-1 3.309768-6 5.960051-1 3.314190-6 4.409820-1 3.322039-6 1.919372-1 3.325370-6 9.679854-2 3.329887-6 6.579538-2 3.337735-6 3.341162-2 3.345584-6 0.0 3.759114-6 0.0 3.768367-6 7.43064-16 3.777619-6 1.47032-15 3.786872-6 2.68566-15 3.796125-6 4.52839-15 3.805377-6 7.04840-15 3.814630-6 1.01272-14 3.823882-6 1.34322-14 3.833135-6 1.64458-14 3.842387-6 1.85873-14 3.851640-6 1.93925-14 3.860893-6 1.86768-14 3.870145-6 1.66046-14 3.879398-6 1.36272-14 3.897903-6 7.21977-15 3.907155-6 4.66084-15 3.916408-6 2.77752-15 3.925661-6 1.52794-15 3.934913-6 7.75904-16 3.944166-6 0.0 4.152648-6 0.0 4.162869-6 1.218751-8 4.173090-6 2.411573-8 4.183311-6 4.404934-8 4.193533-6 7.427325-8 4.203754-6 1.156057-7 4.213975-6 1.661039-7 4.224196-6 2.203101-7 4.234418-6 2.697385-7 4.245483-6 3.059517-7 4.255933-6 3.244282-7 4.266382-6 3.170287-7 4.276832-6 2.924748-7 4.297731-6 2.314263-7 4.308181-6 2.127526-7 4.316187-6 2.057023-7 4.339530-6 2.113713-7 4.349980-6 2.068633-7 4.357072-6 1.930711-7 4.360430-6 1.907190-7 4.370879-6 1.695579-7 4.380675-6 1.410611-7 4.381515-6 2.870028-7 4.403084-6 9.753379-6 4.408774-6 1.385127-5 4.414766-6 1.433219-2 4.430477-6 1.323626-1 4.436499-6 1.865245-1 4.441329-6 2.463936-1 4.447365-6 3.334689-1 4.458232-6 5.509759-1 4.470327-6 8.806279-1 4.495587-6 1.693980+0 4.507970-6 1.995218+0 4.513243-6 2.079617+0 4.524109-6 2.128533+0 4.535655-6 1.998047+0 4.547067-6 1.721067+0 4.575636-6 8.127132-1 4.582400-6 6.279985-1 4.588628-6 4.788375-1 4.599495-6 2.827429-1 4.604103-6 2.240156-1 4.610361-6 1.542063-1 4.625806-6 3.411176-2 4.632094-6 0.0 4.774199-6 0.0 4.775048-6 1.878685-9 4.798555-6 2.592243-7 4.808300-6 4.347168-7 4.831970-6 8.492874-2 4.843805-6 1.551289-1 4.856457-6 2.715920-1 4.869074-6 4.311011-1 4.904333-6 9.837113-1 4.917555-6 1.135679+0 4.929331-6 1.204504+0 4.941724-6 1.206972+0 4.988319-6 9.847796-1 5.017998-6 8.570700-1 5.030350-6 7.831892-1 5.049709-6 6.061840-1 5.070024-6 4.592044-1 5.079754-6 4.135550-1 5.087912-6 3.907998-1 5.099961-6 3.877030-1 5.124059-6 4.373732-1 5.131802-6 4.472765-1 5.140134-6 4.466225-1 5.144160-6 4.502514-1 5.156518-6 4.315026-1 5.168875-6 3.818659-1 5.205948-6 1.640570-1 5.218305-6 1.055427-1 5.229923-6 6.504728-2 5.240319-6 3.996770-2 5.243020-6 3.438401-2 5.255378-6 1.684059-2 5.265022-6 2.749271-3 5.267735-6 0.0 5.287095-6 0.0 5.302779-6 4.33734-12 5.304126-6 2.021588-4 5.330237-6 1.310700-2 5.343292-6 2.383912-2 5.356347-6 4.003683-2 5.369403-6 6.208730-2 5.382458-6 8.934247-2 5.414872-6 1.802097-1 5.454758-6 3.219088-1 5.472871-6 4.080918-1 5.521460-6 6.913711-1 5.540059-6 7.559721-1 5.558908-6 7.706287-1 5.586694-6 7.348981-1 5.616126-6 6.502809-1 5.640485-6 5.454956-1 5.683154-6 3.071912-1 5.699165-6 2.403698-1 5.710793-6 2.064053-1 5.722624-6 1.832142-1 5.734678-6 1.774544-1 5.745028-6 1.870205-1 5.754869-6 2.091130-1 5.775323-6 2.760731-1 5.807496-6 4.203727-1 5.826046-6 4.711621-1 5.841720-6 4.884072-1 5.877883-6 4.780730-1 5.911208-6 4.584296-1 5.964106-6 4.554237-1 6.016141-6 4.223605-1 6.041757-6 4.237313-1 6.106775-6 4.708771-1 6.210774-6 4.686882-1 6.282196-6 4.754284-1 6.359191-6 4.677807-1 6.625565-6 5.266587-1 1.638400-5 2.100684+0 2.697402-5 3.679424+0 3.384944-5 4.477174+0 4.127448-5 5.000084+0 4.269404-5 5.060637+0 4.278686-5 5.399193+0 4.299748-5 1.314834+1 4.310280-5 1.965938+1 4.320811-5 2.944590+1 4.334212-5 4.713065+1 4.361879-5 8.929479+1 4.373132-5 1.010612+2 4.385013-5 1.076811+2 4.398128-5 1.033351+2 4.416114-5 8.741432+1 4.429125-5 7.469373+1 4.439220-5 6.759893+1 4.450577-5 6.341007+1 4.470034-5 6.165924+1 4.483168-5 5.900015+1 4.490250-5 5.557478+1 4.494404-5 5.440706+1 4.504914-5 4.892380+1 4.536128-5 2.557790+1 4.546895-5 1.888260+1 4.557663-5 1.381101+1 4.568430-5 1.030205+1 4.589966-5 5.781513+0 4.613785-5 5.370240+0 4.644733-5 5.166655+0 4.703219-5 5.215552+0 4.740159-5 5.477215+0 4.810977-5 6.759641+0 4.913549-5 7.541640+0 5.013863-5 7.571043+0 5.974501-5 6.262350+0 6.648750-5 5.750085+0 7.420455-5 5.480322+0 7.493513-5 5.614962+0 7.585776-5 6.051396+0 7.646502-5 5.963295+0 7.715773-5 5.711496+0 1.000000-4 5.757165+0 1.450000-4 5.393213+0 2.678253-4 3.875407+0 3.388442-4 3.201704+0 4.270428-4 2.580252+0 5.306315-4 2.054465+0 5.606386-4 1.939539+0 5.633985-4 3.831416+0 5.647914-4 5.424570+0 5.663112-4 8.168974+0 5.678370-4 1.198610+1 5.703199-4 1.977616+1 5.719207-4 2.504368+1 5.736117-4 2.907259+1 5.750261-4 3.106840+1 5.765619-4 3.164917+1 5.785231-4 3.065007+1 5.833608-4 2.614526+1 5.874072-4 2.121303+1 5.886521-4 1.948213+1 5.918762-4 1.673861+1 5.946250-4 1.563004+1 5.979857-4 1.524223+1 6.058470-4 1.560433+1 6.445906-4 1.457984+1 6.729348-4 1.376620+1 6.831485-4 1.430165+1 6.905104-4 1.472335+1 8.474713-4 1.146218+1 1.005499-3 9.076070+0 1.155717-3 7.416524+0 1.335892-3 5.962877+0 1.540203-3 4.784989+0 1.758551-3 3.873936+0 2.009807-3 3.122493+0 2.264644-3 2.564039+0 2.566104-3 2.080402+0 2.840652-3 1.751875+0 3.263036-3 1.381010+0 3.688911-3 1.116631+0 4.165871-3 9.030922-1 4.648831-3 7.450406-1 5.222933-3 6.054813-1 5.788835-3 5.037263-1 5.814640-3 5.056091-1 5.840165-3 5.335389-1 5.855531-3 5.765563-1 5.869838-3 6.500439-1 5.881722-3 7.461138-1 5.895769-3 9.099216-1 5.909590-3 1.131105+0 5.925991-3 1.472201+0 5.983234-3 2.898767+0 6.011813-3 3.397812+0 6.035781-3 3.626107+0 6.082005-3 3.754534+0 7.430857-3 2.781012+0 8.474713-3 2.240141+0 9.599202-3 1.821384+0 1.083318-2 1.480177+0 1.224938-2 1.195607+0 1.381244-2 9.657688-1 1.537680-2 7.957289-1 1.705187-2 6.582384-1 1.905461-2 5.354750-1 2.106189-2 4.439272-1 2.341497-2 3.624867-1 2.579009-2 3.012307-1 2.863442-2 2.457438-1 3.125886-2 2.070182-1 3.476511-2 1.676467-1 3.795040-2 1.408349-1 4.180605-2 1.158671-1 4.628090-2 9.434410-2 5.170010-2 7.525471-2 5.747533-2 6.055813-2 6.365382-2 4.905410-2 6.961932-2 4.070646-2 7.729822-2 3.273673-2 8.568329-2 2.640084-2 9.380679-2 2.183783-2 1.041482-1 1.752793-2 1.139922-1 1.449818-2 1.236856-1 1.221910-2 1.358370-1 1.003323-2 1.484300-1 8.332938-3 1.614678-1 6.989613-3 1.773210-1 5.760027-3 1.950573-1 4.728481-3 2.152993-1 3.866998-3 2.345903-1 3.249749-3 2.607487-1 2.630844-3 2.884032-1 2.160835-3 3.153189-1 1.820237-3 3.477675-1 1.514276-3 3.852756-1 1.256129-3 4.229120-1 1.065827-3 4.740032-1 8.784635-4 5.250300-1 7.447224-4 5.825222-1 6.343858-4 6.458866-1 5.456570-4 7.085700-1 4.804085-4 8.128305-1 4.045115-4 9.413476-1 3.413715-4 1.120601+0 2.845975-4 1.347258+0 2.352287-4 1.619761+0 1.944239-4 1.947381+0 1.606974-4 2.341267+0 1.328214-4 2.814822+0 1.097810-4 3.384160+0 9.073742-5 4.068655+0 7.499731-5 4.891600+0 6.198761-5 5.880996+0 5.123469-5 7.070513+0 4.234706-5 8.500626+0 3.500117-5 9.760024+0 3.034079-5 1.000000+1 6.028526-5 1 24000 7 0 5.199600+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-2.383874+1 2.006904-6-2.281160+1 2.326184-6-2.143116+1 2.483380-6-1.959470+1 2.563876-6-1.750904+1 2.607171-6-1.544553+1 2.631740-6-1.360572+1 2.652945-6-1.123888+1 2.665375-6-9.237639+0 2.673078-6-7.596811+0 2.677411-6-6.456455+0 2.681589-6-5.099152+0 2.683807-6-4.126547+0 2.689586-6-1.905077+0 2.692888-6-5.650473-1 2.694538-6 1.770766-1 2.696189-6 1.024939+0 2.699219-6 2.685088+0 2.700733-6 3.592412+0 2.701490-6 4.103869+0 2.703619-6 5.843601+0 2.705063-6 6.754297+0 2.709397-6 9.190996+0 2.718271-6 1.379608+1 2.723430-6 1.578184+1 2.729209-6 1.655783+1 2.732936-6 1.609290+1 2.736195-6 1.477079+1 2.738917-6 1.310194+1 2.741541-6 1.094104+1 2.745305-6 6.821582+0 2.746234-6 5.693840+0 2.747627-6 3.846310+0 2.748324-6 2.822374+0 2.748672-6 2.268772+0 2.749433-6 9.055428-1 2.752528-6-4.063114+0 2.753883-6-6.370368+0 2.755406-6-9.305773+0 2.756230-6-1.117707+1 2.761761-6-2.204330+1 2.762475-6-2.384951+1 2.768935-6-1.107268+1 2.770269-6-8.306058+0 2.772045-6-5.109077+0 2.774588-6-7.875644-1 2.775012-6-4.023375-2 2.775849-6 1.579749+0 2.776626-6 2.860967+0 2.777306-6 3.888629+0 2.778495-6 5.553971+0 2.782894-6 1.100926+1 2.785817-6 1.369641+1 2.788055-6 1.525400+1 2.792281-6 1.717908+1 2.795365-6 1.760585+1 2.800353-6 1.716215+1 2.807940-6 1.416727+1 2.814591-6 1.025891+1 2.815734-6 9.260813+0 2.817293-6 8.189820+0 2.822801-6 4.820142+0 2.824256-6 4.018935+0 2.826439-6 2.938583+0 2.831947-6 3.835323-1 2.833610-6-4.527429-1 2.834441-6-9.156356-1 2.834857-6-1.171952+0 2.835744-6-1.823953+0 2.836684-6-2.359429+0 2.838558-6-3.246381+0 2.840417-6-4.001957+0 2.844091-6-5.276311+0 2.849511-6-6.812942+0 2.856549-6-8.415712+0 2.866700-6-1.022400+1 2.882636-6-1.232413+1 2.905758-6-1.445190+1 2.948599-6-1.697214+1 3.041211-6-2.022191+1 3.094236-6-2.240764+1 3.118609-6-2.397550+1 3.139699-6-2.290277+1 3.156131-6-2.387109+1 3.157413-6-2.407271+1 3.186265-6-1.951365+1 3.200364-6-1.855972+1 3.232355-6-1.909488+1 3.256136-6-1.760370+1 3.274948-6-1.641113+1 3.292215-6-1.642051+1 3.348814-6-1.882728+1 3.446065-6-2.019422+1 3.768367-6-2.158701+1 4.405929-6-2.310322+1 4.485152-6-2.372935+1 4.561282-6-2.139547+1 4.775048-6-2.275551+1 4.902934-6-2.332701+1 5.017998-6-2.225767+1 5.267735-6-2.258169+1 5.521460-6-2.311564+1 5.683154-6-2.260180+1 5.849370-6-2.296425+1 1.845765-5-2.363397+1 2.778418-5-2.370037+1 3.384944-5-2.142426+1 3.702327-5-1.906090+1 3.875204-5-1.675460+1 3.980688-5-1.450258+1 4.060317-5-1.190849+1 4.107889-5-9.685872+0 4.144638-5-7.382280+0 4.166600-5-5.636470+0 4.179049-5-4.478334+0 4.190343-5-3.294487+0 4.200226-5-2.132990+0 4.208873-5-1.001253+0 4.216439-5 9.403599-2 4.223060-5 1.147046+0 4.228853-5 2.152993+0 4.233922-5 3.108128+0 4.242238-5 4.855789+0 4.249030-5 6.488455+0 4.257943-5 9.006177+0 4.267255-5 1.232161+1 4.276365-5 1.678102+1 4.280794-5 1.992731+1 4.298583-5 2.975071+1 4.311596-5 3.841893+1 4.324814-5 4.568295+1 4.335858-5 4.816794+1 4.344008-5 4.661176+1 4.351051-5 4.302299+1 4.356543-5 3.861542+1 4.360550-5 3.392345+1 4.368854-5 2.267271+1 4.371179-5 1.877870+1 4.373132-5 1.535808+1 4.378566-5 6.736544+0 4.380943-5 2.720945+0 4.381707-5 1.342347+0 4.382281-5 2.636619-1 4.383140-5-1.463579+0 4.383570-5-2.410856+0 4.383893-5-3.205324+0 4.384095-5-3.812893+0 4.384654-5-5.146451+0 4.386362-5-8.528827+0 4.390002-5-1.474916+1 4.394646-5-2.222141+1 4.398128-5-1.609781+1 4.401742-5-1.106515+1 4.407590-5-3.850620+0 4.408894-5-2.416377+0 4.410116-5-1.183151+0 4.411262-5-1.022556-1 4.412337-5 8.530245-1 4.414351-5 2.507012+0 4.416114-5 3.817796+0 4.419006-5 5.706731+0 4.421367-5 7.010165+0 4.424467-5 8.372388+0 4.427456-5 9.206533+0 4.429125-5 9.254633+0 4.436696-5 1.017939+1 4.450577-5 9.513874+0 4.452790-5 9.597534+0 4.460940-5 1.039649+1 4.465570-5 1.144146+1 4.470034-5 1.297777+1 4.481281-5 1.839384+1 4.484705-5 2.053449+1 4.489314-5 2.206367+1 4.492356-5 2.306270+1 4.494404-5 2.432098+1 4.506955-5 3.007770+1 4.517224-5 3.257527+1 4.527755-5 3.333657+1 4.536128-5 3.231115+1 4.546895-5 2.937458+1 4.571122-5 2.037284+1 4.588788-5 1.448310+1 4.592597-5 1.281914+1 4.597622-5 1.122078+1 4.608341-5 8.534593+0 4.619228-5 6.345727+0 4.626334-5 5.116388+0 4.633439-5 4.012565+0 4.644733-5 2.419552+0 4.652710-5 1.432193+0 4.664676-5 1.157296-1 4.676643-5-1.053632+0 4.693945-5-2.569111+0 4.713855-5-4.097729+0 4.740159-5-5.867303+0 4.766226-5-7.297452+0 4.786373-5-8.070778+0 4.829147-5-9.061362+0 4.900286-5-1.029211+1 5.094425-5-1.158548+1 5.343221-5-1.251577+1 5.974501-5-1.354782+1 7.456984-5-1.470097+1 7.564600-5-1.475347+1 7.693132-5-1.429340+1 7.948443-5-1.439923+1 1.620050-4-1.200272+1 2.209946-4-1.112479+1 2.920578-4-1.088032+1 3.616784-4-1.125286+1 4.270428-4-1.226760+1 4.702662-4-1.355843+1 5.053233-4-1.542291+1 5.269471-4-1.746976+1 5.371472-4-1.899387+1 5.506294-4-1.818651+1 5.565526-4-1.692425+1 5.595544-4-1.548687+1 5.635726-4-1.162041+1 5.663112-4-8.786944+0 5.668406-4-8.426887+0 5.680730-4-7.976689+0 5.687403-4-8.153003+0 5.698590-4-8.998190+0 5.706959-4-1.023370+1 5.715454-4-1.211806+1 5.732288-4-1.760292+1 5.755338-4-2.684708+1 5.773239-4-2.176748+1 5.785231-4-1.884844+1 5.813552-4-1.411890+1 5.839360-4-1.113703+1 5.857088-4-9.579357+0 5.874072-4-8.619029+0 5.882540-4-8.562170+0 5.886521-4-8.751845+0 5.905554-4-9.108438+0 5.946250-4-1.075636+1 5.987137-4-1.198848+1 6.032188-4-1.216221+1 6.445906-4-9.679432+0 6.653171-4-9.028299+0 6.814378-4-9.199021+0 6.874677-4-8.792666+0 7.004031-4-7.584806+0 7.212758-4-6.508702+0 7.600112-4-5.150856+0 8.044288-4-4.016839+0 8.474713-4-3.194760+0 8.925345-4-2.526760+0 9.495109-4-1.891621+0 9.914024-4-1.519904+0 1.038126-3-1.198387+0 1.079330-3-9.690084-1 1.128084-3-7.509723-1 1.155717-3-6.467417-1 1.202968-3-4.984338-1 1.233815-3-4.155228-1 1.282699-3-3.106728-1 1.335892-3-2.238578-1 1.375427-3-1.720964-1 1.440184-3-1.136810-1 1.480092-3-8.482730-2 1.525847-3-6.130510-2 1.562248-3-4.666814-2 1.582624-3-4.100464-2 1.642657-3-2.621768-2 1.688069-3-2.116605-2 1.693793-3-2.112750-2 1.752077-3-2.358557-2 1.806654-3-2.866457-2 1.855400-3-3.657943-2 1.886362-3-4.268011-2 1.948442-3-5.963831-2 2.065380-3-9.722696-2 2.222670-3-1.615479-1 2.499698-3-2.881325-1 3.396298-3-7.203333-1 4.165871-3-1.093820+0 4.648831-3-1.381324+0 5.034610-3-1.688348+0 5.312666-3-2.006169+0 5.507842-3-2.335156+0 5.632062-3-2.640511+0 5.738719-3-3.035859+0 5.814640-3-3.507127+0 5.865268-3-4.068008+0 5.932315-3-5.016032+0 5.958414-3-5.121090+0 5.991109-3-4.875002+0 6.069035-3-3.666859+0 6.120717-3-3.124272+0 6.189513-3-2.662787+0 6.279431-3-2.249382+0 6.407550-3-1.834880+0 6.531674-3-1.536844+0 6.710968-3-1.210739+0 6.884794-3-9.693329-1 7.098296-3-7.335027-1 7.296675-3-5.639036-1 7.478164-3-4.352208-1 7.673615-3-3.195240-1 7.906217-3-2.073441-1 8.015050-3-1.615783-1 8.131191-3-1.169632-1 8.247332-3-7.606802-2 8.409554-3-2.633853-2 8.608437-3 2.749130-2 8.861352-3 8.691278-2 9.093896-3 1.328048-1 9.332543-3 1.738060-1 9.599202-3 2.128181-1 9.842943-3 2.414593-1 1.035251-2 2.867665-1 1.113664-2 3.300577-1 1.224938-2 3.606098-1 1.330706-2 3.667131-1 1.537680-2 3.522881-1 2.424865-2 2.236594-1 2.927417-2 1.687193-1 3.350179-2 1.334519-1 3.795040-2 1.043561-1 4.338125-2 7.702899-2 4.734918-2 6.125602-2 5.170010-2 4.705291-2 5.588080-2 3.566175-2 5.999165-2 2.629010-2 6.365382-2 1.912927-2 6.799301-2 1.180201-2 7.126910-2 6.973732-3 7.254505-2 5.220145-3 7.543264-2 1.537184-3 7.671465-2 3.094108-5 7.729822-2-6.503647-4 7.928369-2-2.834573-3 8.069858-2-4.329938-3 8.398830-2-7.533866-3 8.879024-2-1.170779-2 9.600353-2-1.697880-2 1.041482-1-2.187282-2 1.172048-1-2.792952-2 1.358370-1-3.410463-2 1.614678-1-3.970034-2 2.010033-1-4.479151-2 2.690627-1-4.916655-2 4.088321-1-5.253963-2 8.128305-1-5.461226-2 2.451607+0-5.524205-2 7.403736+0-5.531128-2 1.000000+1-5.530555-2 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.674651-2 1.180402-6 3.448931-2 1.255329-6 4.544019-2 1.335013-6 6.017857-2 1.419756-6 8.016433-2 1.509877-6 1.075049-1 1.557060-6 1.248489-1 1.605719-6 1.452958-1 1.655897-6 1.694777-1 1.707644-6 1.981768-1 1.761008-6 2.323673-1 1.816039-6 2.732533-1 1.870303-6 3.200478-1 1.922871-6 3.725172-1 1.973796-6 4.311209-1 2.023129-6 4.962964-1 2.070921-6 5.683324-1 2.117220-6 6.477214-1 2.162071-6 7.352094-1 2.205521-6 8.314224-1 2.247613-6 9.369759-1 2.288390-6 1.052516+0 2.327893-6 1.178723+0 2.366161-6 1.316309+0 2.403233-6 1.466024+0 2.439146-6 1.628654+0 2.473938-6 1.805024+0 2.507642-6 1.995996+0 2.540293-6 2.202477+0 2.571923-6 2.425413+0 2.602566-6 2.665797+0 2.632250-6 2.924665+0 2.661007-6 3.203101+0 2.688865-6 3.502237+0 2.715853-6 3.823253+0 2.741997-6 4.167382+0 2.767324-6 4.535908+0 2.791860-6 4.930167+0 2.838656-6 5.801507+0 2.882572-6 6.793213+0 2.923786-6 7.918839+0 2.943433-6 8.538047+0 2.962465-6 9.197965+0 2.999341-6 1.066400+1 3.033911-6 1.230766+1 3.066321-6 1.415076+1 3.096705-6 1.621235+1 3.125191-6 1.851214+1 3.151896-6 2.107082+1 3.176932-6 2.390989+1 3.200403-6 2.705161+1 3.222407-6 3.051901+1 3.243036-6 3.433583+1 3.262376-6 3.852633+1 3.280507-6 4.311527+1 3.297504-6 4.812770+1 3.313440-6 5.358882+1 3.328379-6 5.952386+1 3.342385-6 6.595790+1 3.355515-6 7.291572+1 3.367825-6 8.042169+1 3.379365-6 8.849968+1 3.390184-6 9.717305+1 3.400327-6 1.064647+2 3.409836-6 1.163973+2 3.418751-6 1.269930+2 3.427108-6 1.382740+2 3.434943-6 1.502625+2 3.442289-6 1.629816+2 3.449175-6 1.764557+2 3.455631-6 1.907118+2 3.461684-6 2.057793+2 3.467358-6 2.216896+2 3.472677-6 2.384740+2 3.482651-6 2.760940+2 3.491379-6 3.177224+2 3.499015-6 3.632806+2 3.505697-6 4.123946+2 3.511544-6 4.644035+2 3.516660-6 5.184325+2 3.521136-6 5.734956+2 3.525053-6 6.285993+2 3.528480-6 6.828260+2 3.534478-6 7.931875+2 3.542349-6 9.732418+2 3.553563-6 1.314830+3 3.567772-6 1.925784+3 3.576516-6 2.415465+3 3.582759-6 2.820190+3 3.588500-6 3.231569+3 3.590422-6 3.377240+3 3.596190-6 3.835827+3 3.598376-6 4.017254+3 3.606027-6 4.678077+3 3.607940-6 4.847976+3 3.613678-6 5.363179+3 3.616855-6 5.648950+3 3.619737-6 5.906414+3 3.624465-6 6.320747+3 3.628085-6 6.627235+3 3.631041-6 6.868001+3 3.634921-6 7.167662+3 3.639910-6 7.519486+3 3.645375-6 7.852439+3 3.649203-6 8.047739+3 3.654353-6 8.255151+3 3.658872-6 8.380611+3 3.664365-6 8.457616+3 3.668998-6 8.456231+3 3.673956-6 8.387319+3 3.677790-6 8.287228+3 3.684480-6 8.019939+3 3.688683-6 7.796550+3 3.693861-6 7.469594+3 3.697740-6 7.192084+3 3.702097-6 6.852915+3 3.705736-6 6.551569+3 3.710414-6 6.146187+3 3.714828-6 5.751594+3 3.719242-6 5.351625+3 3.723657-6 4.952128+3 3.728071-6 4.558427+3 3.736899-6 3.806455+3 3.745728-6 3.124559+3 3.751660-6 2.714782+3 3.758971-6 2.267511+3 3.768612-6 1.775321+3 3.781062-6 1.291191+3 3.789284-6 1.051604+3 3.793371-6 9.524471+2 3.797442-6 8.651694+2 3.801497-6 7.884475+2 3.805536-6 7.210469+2 3.809559-6 6.618322+2 3.817575-6 5.637686+2 3.825528-6 4.874819+2 3.833418-6 4.274708+2 3.841247-6 3.795754+2 3.849015-6 3.407222+2 3.856722-6 3.086752+2 3.864369-6 2.818208+2 3.871956-6 2.589945+2 3.879484-6 2.393492+2 3.886953-6 2.222604+2 3.894364-6 2.072598+2 3.909070-6 1.820818+2 3.923546-6 1.619019+2 3.937795-6 1.454015+2 3.951823-6 1.316922+2 3.965630-6 1.201510+2 3.979223-6 1.103266+2 3.992602-6 1.018831+2 4.005773-6 9.456429+1 4.018738-6 8.817128+1 4.031500-6 8.254670+1 4.056626-6 7.305804+1 4.080967-6 6.545543+1 4.104547-6 5.925038+1 4.127390-6 5.411113+1 4.149520-6 4.980086+1 4.170958-6 4.614623+1 4.191725-6 4.301757+1 4.211844-6 4.031405+1 4.250825-6 3.581618+1 4.287369-6 3.230117+1 4.321629-6 2.949650+1 4.353748-6 2.722036+1 4.383859-6 2.534630+1 4.412088-6 2.378275+1 4.465018-6 2.125021+1 4.511332-6 1.937379+1 4.551857-6 1.794880+1 4.587316-6 1.684307+1 4.649369-6 1.515606+1 4.695909-6 1.406104+1 4.765720-6 1.263780+1 4.883138-6 1.066801+1 5.073570-6 8.246428+0 5.195158-6 6.958513+0 5.286348-6 6.020892+0 5.350467-6 5.332799+0 5.376648-6 5.031528+0 5.399557-6 4.751501+0 5.419602-6 4.489250+0 5.437142-6 4.242431+0 5.452489-6 4.009696+0 5.465918-6 3.790693+0 5.477668-6 3.585937+0 5.496946-6 3.223446+0 5.512689-6 2.909712+0 5.539994-6 2.393818+0 5.544976-6 2.317209+0 5.548712-6 2.266346+0 5.554316-6 2.203136+0 5.557118-6 2.178450+0 5.559920-6 2.159052+0 5.566647-6 2.137309+0 5.570039-6 2.141543+0 5.572195-6 2.150185+0 5.587290-6 2.364931+0 5.594050-6 2.564927+0 5.597471-6 2.694504+0 5.600975-6 2.848286+0 5.603234-6 2.959175+0 5.609163-6 3.295897+0 5.614660-6 3.669347+0 5.627140-6 4.744718+0 5.638658-6 6.015917+0 5.645418-6 6.878047+0 5.652032-6 7.794765+0 5.658443-6 8.741780+0 5.663895-6 9.582914+0 5.669400-6 1.045627+1 5.676242-6 1.156024+1 5.682604-6 1.258790+1 5.691078-6 1.392809+1 5.696246-6 1.471319+1 5.697810-6 1.494423+1 5.706022-6 1.609425+1 5.711242-6 1.675989+1 5.723526-6 1.807936+1 5.728442-6 1.849749+1 5.737825-6 1.910556+1 5.742743-6 1.932163+1 5.745550-6 1.941311+1 5.750461-6 1.951805+1 5.754145-6 1.955148+1 5.759670-6 1.953119+1 5.765195-6 1.943033+1 5.774496-6 1.909425+1 5.784776-6 1.851403+1 5.792565-6 1.795755+1 5.801910-6 1.719184+1 5.806250-6 1.680978+1 5.815617-6 1.595020+1 5.833620-6 1.426439+1 5.861186-6 1.192070+1 5.875001-6 1.094139+1 5.888815-6 1.010635+1 5.899524-6 9.552994+0 5.920272-6 8.682634+0 5.939723-6 8.057958+0 5.957958-6 7.592931+0 5.992150-6 6.922517+0 6.022067-6 6.465009+0 6.152956-6 4.958032+0 6.192223-6 4.509287+0 6.231490-6 4.046544+0 6.252200-6 3.831685+0 6.265844-6 3.720165+0 6.277504-6 3.653149+0 6.281191-6 3.638528+0 6.296538-6 3.617201+0 6.300375-6 3.622712+0 6.311885-6 3.667282+0 6.317173-6 3.702186+0 6.321801-6 3.740192+0 6.329899-6 3.823111+0 6.340528-6 3.961772+0 6.354194-6 4.182592+0 6.373273-6 4.543755+0 6.392928-6 4.929102+0 6.405850-6 5.159959+0 6.409757-6 5.223176+0 6.421479-6 5.388901+0 6.426964-6 5.452409+0 6.436561-6 5.539529+0 6.443760-6 5.583760+0 6.454558-6 5.615412+0 6.465355-6 5.606277+0 6.473029-6 5.576455+0 6.480702-6 5.528921+0 6.496049-6 5.388301+0 6.511396-6 5.201410+0 6.529202-6 4.950508+0 6.571916-6 4.344499+0 6.588013-6 4.155172+0 6.604110-6 4.000953+0 6.620207-6 3.885705+0 6.631809-6 3.827152+0 6.640511-6 3.796148+0 6.656400-6 3.765300+0 6.666616-6 3.760418+0 6.684593-6 3.772154+0 6.726487-6 3.827960+0 6.744703-6 3.834168+0 6.757477-6 3.825851+0 6.770250-6 3.806599+0 6.781173-6 3.782141+0 6.797270-6 3.735234+0 6.870129-6 3.479840+0 6.911082-6 3.366120+0 6.969475-6 3.224439+0 7.039749-6 3.042175+0 7.102215-6 2.869000+0 7.160524-6 2.697732+0 7.209535-6 2.545138+0 7.263096-6 2.371354+0 7.311760-6 2.209241+0 7.356583-6 2.056125+0 7.393497-6 1.926084+0 7.413288-6 1.854521+0 7.480171-6 1.601541+0 7.532906-6 1.388534+0 7.579049-6 1.191456+0 7.599237-6 1.102103+0 7.624383-6 9.883818-1 7.652540-6 8.584734-1 7.668134-6 7.858107-1 7.682754-6 7.176083-1 7.696460-6 6.539586-1 7.709310-6 5.949369-1 7.724720-6 5.256638-1 7.732649-6 4.909900-1 7.743237-6 4.461314-1 7.753163-6 4.060385-1 7.779371-6 3.143272-1 7.787039-6 2.932073-1 7.794227-6 2.767343-1 7.800966-6 2.648271-1 7.807284-6 2.573764-1 7.813207-6 2.542423-1 7.818759-6 2.552538-1 7.823965-6 2.602090-1 7.828845-6 2.688777-1 7.833421-6 2.810050-1 7.837710-6 2.963159-1 7.841732-6 3.145201-1 7.845501-6 3.353182-1 7.849036-6 3.584061-1 7.852349-6 3.834809-1 7.855456-6 4.102449-1 7.858368-6 4.384098-1 7.863658-6 4.978553-1 7.868307-6 5.598079-1 7.875984-6 6.846830-1 7.902051-6 1.382503+0 7.911729-6 1.782360+0 7.918752-6 2.132819+0 7.927843-6 2.671879+0 7.936396-6 3.277562+0 7.943970-6 3.902340+0 7.948078-6 4.278604+0 7.960401-6 5.578147+0 7.964167-6 6.029395+0 7.972640-6 7.142928+0 7.981264-6 8.421432+0 7.988131-6 9.547928+0 7.996220-6 1.100031+1 8.014533-6 1.479057+1 8.018044-6 1.559458+1 8.034068-6 1.955827+1 8.040940-6 2.139258+1 8.050729-6 2.412282+1 8.058963-6 2.650777+1 8.067772-6 2.912614+1 8.077271-6 3.199720+1 8.085706-6 3.456062+1 8.095025-6 3.737634+1 8.106275-6 4.070364+1 8.116608-6 4.364156+1 8.126756-6 4.637202+1 8.137162-6 4.897131+1 8.147894-6 5.140002+1 8.157312-6 5.329308+1 8.178895-6 5.669223+1 8.181214-6 5.697493+1 8.197445-6 5.848822+1 8.204247-6 5.887834+1 8.219706-6 5.923358+1 8.224035-6 5.920331+1 8.237020-6 5.878468+1 8.249387-6 5.795092+1 8.261200-6 5.678888+1 8.270000-6 5.571124+1 8.282947-6 5.383313+1 8.289000-6 5.284867+1 8.298119-6 5.125470+1 8.310791-6 4.885322+1 8.323011-6 4.638026+1 8.335957-6 4.364921+1 8.350797-6 4.045185+1 8.355744-6 3.938388+1 8.375531-6 3.517538+1 8.395319-6 3.118070+1 8.451057-6 2.189822+1 8.470929-6 1.939923+1 8.482088-6 1.817607+1 8.498282-6 1.661383+1 8.503886-6 1.612773+1 8.525175-6 1.450944+1 8.545798-6 1.323954+1 8.565959-6 1.222607+1 8.585131-6 1.142804+1 8.603881-6 1.077059+1 8.642189-6 9.703479+0 8.674265-6 9.008924+0 8.706194-6 8.439634+0 8.736127-6 7.986770+0 8.792251-6 7.288672+0 8.841359-6 6.793736+0 8.884329-6 6.424686+0 8.959527-6 5.882619+0 9.017323-6 5.531378+0 9.100523-6 5.096120+0 9.162269-6 4.812805+0 9.436943-6 3.784540+0 9.504893-6 3.558590+0 9.577508-6 3.315838+0 9.666397-6 3.003405+0 9.735234-6 2.733604+0 9.781124-6 2.528199+0 9.813216-6 2.367609+0 9.837285-6 2.237446+0 9.855336-6 2.135173+0 9.882413-6 1.977771+0 9.924573-6 1.743947+0 9.942883-6 1.658753+0 9.961192-6 1.592191+0 9.967296-6 1.575351+0 9.991709-6 1.541886+0 1.001612-5 1.575050+0 1.002222-5 1.595493+0 1.004053-5 1.688856+0 1.004545-5 1.722373+0 1.005281-5 1.779537+0 1.006018-5 1.845014+0 1.006688-5 1.911778+0 1.007787-5 2.036001+0 1.009358-5 2.244045+0 1.013819-5 2.998744+0 1.015955-5 3.417201+0 1.016870-5 3.601340+0 1.018701-5 3.969848+0 1.019110-5 4.051166+0 1.021971-5 4.594840+0 1.023213-5 4.809828+0 1.025584-5 5.170299+0 1.026535-5 5.293460+0 1.029390-5 5.578608+0 1.030290-5 5.640776+0 1.031640-5 5.708414+0 1.032990-5 5.745432+0 1.034911-5 5.746806+0 1.036351-5 5.710425+0 1.037432-5 5.663644+0 1.039052-5 5.565011+0 1.040673-5 5.436300+0 1.042237-5 5.288172+0 1.044227-5 5.073205+0 1.046700-5 4.777666+0 1.049173-5 4.465971+0 1.052586-5 4.034420+0 1.059638-5 3.233709+0 1.063688-5 2.869315+0 1.066293-5 2.681460+0 1.068898-5 2.534287+0 1.071819-5 2.420976+0 1.072833-5 2.394744+0 1.074354-5 2.368025+0 1.075875-5 2.356101+0 1.078135-5 2.364050+0 1.079264-5 2.378509+0 1.080394-5 2.399151+0 1.082371-5 2.447937+0 1.085009-5 2.531384+0 1.087647-5 2.625284+0 1.090826-5 2.736324+0 1.092596-5 2.791254+0 1.094367-5 2.838309+0 1.095688-5 2.867325+0 1.097669-5 2.900123+0 1.099650-5 2.919642+0 1.101563-5 2.926244+0 1.103476-5 2.921864+0 1.106114-5 2.900764+0 1.111274-5 2.827521+0 1.117043-5 2.734681+0 1.120375-5 2.690061+0 1.126720-5 2.634068+0 1.130430-5 2.616510+0 1.146507-5 2.573244+0 1.155091-5 2.533042+0 1.164703-5 2.470489+0 1.180209-5 2.362728+0 1.189200-5 2.316155+0 1.201319-5 2.271662+0 1.217584-5 2.221360+0 1.237497-5 2.156906+0 1.314122-5 1.917498+0 1.351161-5 1.818568+0 1.393385-5 1.720147+0 1.490000-5 1.553615+0 1.513561-5 1.524468+0 1.584893-5 1.463119+0 1.678804-5 1.438258+0 1.800000-5 1.500816+0 1.864402-5 1.572124+0 1.957201-5 1.735026+0 2.000000-5 1.831782+0 2.050000-5 1.964456+0 2.150000-5 2.283797+0 2.219713-5 2.545969+0 2.279568-5 2.801164+0 2.426610-5 3.534088+0 2.576766-5 4.427059+0 2.712025-5 5.345946+0 2.851018-5 6.384803+0 3.019952-5 7.751668+0 3.198895-5 9.289372+0 3.320209-5 1.036606+1 3.532222-5 1.230544+1 3.594069-5 1.286348+1 3.639436-5 1.319605+1 3.733578-5 1.380850+1 3.781648-5 1.418847+1 3.827499-5 1.462167+1 3.871463-5 1.510844+1 3.927067-5 1.583878+1 3.953573-5 1.624538+1 3.983966-5 1.676938+1 4.028223-5 1.766039+1 4.051568-5 1.820005+1 4.074183-5 1.877528+1 4.096091-5 1.938846+1 4.117315-5 2.004290+1 4.137876-5 2.074202+1 4.157794-5 2.148883+1 4.177089-5 2.228557+1 4.195782-5 2.313366+1 4.220000-5 2.435671+1 4.248427-5 2.599805+1 4.267372-5 2.723667+1 4.280840-5 2.819825+1 4.300000-5 2.969692+1 4.325757-5 3.198755+1 4.353412-5 3.486616+1 4.379777-5 3.810622+1 4.404494-5 4.168597+1 4.427667-5 4.562731+1 4.449391-5 4.995142+1 4.469757-5 5.467947+1 4.488851-5 5.983302+1 4.506751-5 6.543397+1 4.523532-5 7.150416+1 4.539265-5 7.806473+1 4.554014-5 8.513567+1 4.567842-5 9.273595+1 4.580805-5 1.008841+2 4.594912-5 1.111108+2 4.608000-5 1.221429+2 4.615033-5 1.288047+2 4.625046-5 1.393372+2 4.634434-5 1.505191+2 4.643236-5 1.623762+2 4.651487-5 1.749381+2 4.659222-5 1.882383+2 4.666474-5 2.023142+2 4.673273-5 2.172048+2 4.679646-5 2.329480+2 4.691597-5 2.683586+2 4.702054-5 3.076904+2 4.711204-5 3.508011+2 4.719210-5 3.972219+2 4.726216-5 4.462004+2 4.732345-5 4.968023+2 4.737709-5 5.480283+2 4.742402-5 5.989177+2 4.746508-5 6.486224+2 4.753695-5 7.486404+2 4.763126-5 9.086968+2 4.785109-5 1.435945+3 4.793501-5 1.701727+3 4.800753-5 1.961078+3 4.806647-5 2.191310+3 4.812541-5 2.437592+3 4.824328-5 2.969629+3 4.825801-5 3.038948+3 4.836115-5 3.532930+3 4.840167-5 3.727831+3 4.847903-5 4.093099+3 4.852139-5 4.285801+3 4.856671-5 4.483318+3 4.860373-5 4.636280+3 4.865231-5 4.823292+3 4.869916-5 4.986400+3 4.874425-5 5.125189+3 4.878292-5 5.228620+3 4.884002-5 5.352746+3 4.890909-5 5.454398+3 4.896135-5 5.494619+3 4.899815-5 5.503797+3 4.905852-5 5.485108+3 4.911687-5 5.428792+3 4.917752-5 5.333460+3 4.923384-5 5.215036+3 4.928592-5 5.083639+3 4.934755-5 4.906227+3 4.941950-5 4.677511+3 4.951175-5 4.366909+3 4.967094-5 3.843082+3 4.981341-5 3.445392+3 4.991248-5 3.226419+3 4.997893-5 3.106953+3 5.004302-5 3.010925+3 5.011872-5 2.918269+3 5.022284-5 2.818053+3 5.043706-5 2.648724+3 5.055155-5 2.545380+3 5.061778-5 2.474950+3 5.068516-5 2.393920+3 5.073354-5 2.329800+3 5.079703-5 2.238425+3 5.085825-5 2.143304+3 5.093905-5 2.009179+3 5.099943-5 1.904280+3 5.107492-5 1.770023+3 5.112021-5 1.688920+3 5.125888-5 1.445090+3 5.132153-5 1.340051+3 5.143335-5 1.164926+3 5.169148-5 8.364503+2 5.181861-5 7.151355+2 5.188069-5 6.647627+2 5.194180-5 6.203287+2 5.206211-5 5.461047+2 5.217866-5 4.883427+2 5.229156-5 4.429547+2 5.240094-5 4.067763+2 5.250690-5 3.774505+2 5.261088-5 3.529714+2 5.270899-5 3.329789+2 5.290166-5 3.003704+2 5.308228-5 2.757114+2 5.325162-5 2.563757+2 5.341037-5 2.408076+2 5.355920-5 2.280173+2 5.383826-5 2.077331+2 5.408243-5 1.930580+2 5.429609-5 1.820381+2 5.448303-5 1.735283+2 5.486441-5 1.587588+2 5.505556-5 1.524040+2 5.550448-5 1.395444+2 5.596342-5 1.286081+2 5.692665-5 1.097282+2 5.707478-5 1.072808+2 5.735574-5 1.033223+2 5.749622-5 1.017968+2 5.763671-5 1.006380+2 5.777719-5 9.986721+1 5.788567-5 9.953175+1 5.811246-5 9.945721+1 5.882493-5 1.010953+2 6.021392-5 1.019372+2 6.040188-5 1.018502+2 6.195760-5 9.958189+1 6.709181-5 9.454730+1 7.079378-5 9.189730+1 7.441032-5 9.015665+1 8.317638-5 8.774963+1 8.511380-5 8.675894+1 8.586534-5 8.600809+1 8.661811-5 8.503531+1 8.692300-5 8.478163+1 8.738359-5 8.498608+1 8.754499-5 8.531425+1 8.775889-5 8.600215+1 8.797279-5 8.698820+1 8.818358-5 8.822855+1 8.882840-5 9.287921+1 8.906025-5 9.443390+1 8.928338-5 9.565854+1 8.950742-5 9.654230+1 8.966541-5 9.694320+1 8.989799-5 9.722032+1 9.011962-5 9.719904+1 9.094052-5 9.618802+1 9.133409-5 9.589888+1 9.170579-5 9.589030+1 9.457619-5 9.771185+1 1.336137-4 1.186002+2 1.480000-4 1.252348+2 1.638231-4 1.312794+2 1.820000-4 1.367215+2 2.016325-4 1.410555+2 2.223980-4 1.444450+2 2.441639-4 1.466097+2 2.659059-4 1.476985+2 2.921290-4 1.477583+2 3.162278-4 1.466889+2 3.418091-4 1.445763+2 3.715353-4 1.407814+2 3.998912-4 1.357292+2 4.271428-4 1.294646+2 4.521053-4 1.222423+2 4.744284-4 1.145396+2 4.940484-4 1.065870+2 5.112925-4 9.847067+1 5.248075-4 9.121846+1 5.370604-4 8.379234+1 5.478463-4 7.646851+1 5.573261-4 6.931261+1 5.645713-4 6.330263+1 5.716722-4 5.688139+1 5.771505-4 5.153844+1 5.810551-4 4.750391+1 5.856189-4 4.252705+1 5.898075-4 3.771766+1 5.930026-4 3.398076+1 5.959074-4 3.075045+1 5.989911-4 2.792333+1 6.016679-4 2.639157+1 6.019173-4 2.630428+1 6.046042-4 2.602985+1 6.067444-4 2.671110+1 6.089187-4 2.825068+1 6.108337-4 3.040470+1 6.125463-4 3.314305+1 6.140514-4 3.642202+1 6.153743-4 4.023875+1 6.165370-4 4.456619+1 6.176216-4 4.966912+1 6.188645-4 5.713446+1 6.196285-4 6.277134+1 6.203784-4 6.922176+1 6.210478-4 7.584658+1 6.218414-4 8.488860+1 6.228761-4 9.884899+1 6.249760-4 1.359595+2 6.264605-4 1.702112+2 6.279273-4 2.109772+2 6.283976-4 2.254815+2 6.295783-4 2.647499+2 6.299297-4 2.771638+2 6.313774-4 3.312028+2 6.319407-4 3.532040+2 6.331745-4 4.023862+2 6.337441-4 4.251906+2 6.345274-4 4.562246+2 6.350391-4 4.760840+2 6.358543-4 5.066708+2 6.364824-4 5.290646+2 6.372424-4 5.544264+2 6.378386-4 5.727716+2 6.388757-4 6.009170+2 6.396293-4 6.180516+2 6.405765-4 6.353099+2 6.414430-4 6.467743+2 6.424113-4 6.546737+2 6.431716-4 6.573318+2 6.444085-4 6.553946+2 6.453976-4 6.487744+2 6.462038-4 6.404474+2 6.472216-4 6.266978+2 6.482356-4 6.099875+2 6.495564-4 5.846936+2 6.510435-4 5.527658+2 6.524607-4 5.201703+2 6.540283-4 4.828804+2 6.558543-4 4.393290+2 6.583691-4 3.822403+2 6.606072-4 3.374217+2 6.621980-4 3.104749+2 6.637086-4 2.892868+2 6.640316-4 2.853377+2 6.657250-4 2.679827+2 6.668373-4 2.595401+2 6.676354-4 2.548252+2 6.683500-4 2.514835+2 6.693064-4 2.481952+2 6.701518-4 2.462942+2 6.710771-4 2.451462+2 6.728125-4 2.450861+2 6.743983-4 2.467301+2 6.765000-4 2.503192+2 6.792500-4 2.558617+2 6.829000-4 2.627115+2 6.864403-4 2.679729+2 6.920499-4 2.738053+2 6.997530-4 2.788712+2 7.061002-4 2.817625+2 7.155861-4 2.848752+2 7.250785-4 2.867475+2 7.333501-4 2.870425+2 7.490304-4 2.846111+2 7.525381-4 2.856883+2 7.552620-4 2.878491+2 7.581304-4 2.915737+2 7.616787-4 2.980522+2 7.693977-4 3.150522+2 7.725366-4 3.211987+2 7.753184-4 3.257818+2 7.791483-4 3.307884+2 7.824219-4 3.341199+2 7.888982-4 3.392056+2 8.000645-4 3.460452+2 8.199311-4 3.554316+2 8.459548-4 3.648624+2 8.728961-4 3.720278+2 9.147246-4 3.803209+2 9.602549-4 3.869830+2 1.034317-3 3.933905+2 1.082376-3 3.950248+2 1.174237-3 3.947657+2 1.288814-3 3.912703+2 1.411670-3 3.845961+2 1.573494-3 3.743374+2 1.744978-3 3.615871+2 1.923369-3 3.481877+2 2.254888-3 3.240836+2 2.437109-3 3.115435+2 2.647833-3 2.977852+2 2.974661-3 2.773491+2 3.219289-3 2.629583+2 3.624718-3 2.408671+2 3.927014-3 2.253711+2 4.246902-3 2.098794+2 4.613840-3 1.932886+2 4.797736-3 1.852422+2 4.980603-3 1.774147+2 5.151904-3 1.702120+2 5.300548-3 1.639992+2 5.426909-3 1.587165+2 5.547795-3 1.535912+2 5.657842-3 1.488464+2 5.757496-3 1.444337+2 5.844270-3 1.404465+2 5.975911-3 1.340147+2 6.040259-3 1.306081+2 6.098407-3 1.273049+2 6.143803-3 1.245268+2 6.181154-3 1.220653+2 6.224473-3 1.189356+2 6.263365-3 1.157611+2 6.294814-3 1.128207+2 6.320972-3 1.100258+2 6.351943-3 1.062225+2 6.386192-3 1.014421+2 6.435452-3 9.453634+1 6.458431-3 9.206030+1 6.470200-3 9.115085+1 6.483267-3 9.049181+1 6.499075-3 9.023923+1 6.511986-3 9.049287+1 6.520968-3 9.090915+1 6.530416-3 9.154803+1 6.547605-3 9.318223+1 6.569622-3 9.596926+1 6.617504-3 1.031692+2 6.645885-3 1.072227+2 6.674543-3 1.107330+2 6.706742-3 1.139091+2 6.730431-3 1.157899+2 6.758170-3 1.176054+2 6.783617-3 1.189879+2 6.840489-3 1.213932+2 6.915784-3 1.236241+2 7.015466-3 1.255611+2 7.110793-3 1.267043+2 7.223956-3 1.274469+2 7.413102-3 1.277019+2 7.649417-3 1.269661+2 7.924416-3 1.252466+2 8.300309-3 1.219539+2 8.708713-3 1.178095+2 9.288474-3 1.116623+2 9.869282-3 1.056233+2 1.067768-2 9.775875+1 1.176880-2 8.822198+1 1.318221-2 7.777587+1 1.470089-2 6.847269+1 1.654862-2 5.918013+1 1.840772-2 5.150411+1 1.978885-2 4.666574+1 2.187762-2 4.045558+1 2.446915-2 3.422146+1 2.686089-2 2.958432+1 3.600860-2 1.843436+1 4.093940-2 1.493032+1 5.693175-2 8.566341+0 6.797593-2 6.311513+0 8.086421-2 4.648877+0 1.016816-1 3.075721+0 1.182769-1 2.326913+0 1.506382-1 1.475827+0 1.988276-1 8.693669-1 2.645705-1 5.007817-1 3.728576-1 2.561028-1 5.757506-1 1.085554-1 1.120601+0 2.883468-2 3.384160+0 3.168234-3 1.022000+1 3.474700-4 3.086391+1 3.810030-5 9.320751+1 4.177626-6 2.814822+2 4.580677-7 8.500626+2 5.022613-8 3.162278+3 3.629372-9 1.000000+4 3.62937-10 3.162278+4 3.62937-11 1.000000+5 3.62937-12 1 25000 7 7 5.493800+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.138800-6 1.258900-6 1.804900-6 1.584900-6 2.860600-6 1.995300-6 4.533700-6 2.511900-6 7.185500-6 3.162300-6 1.138800-5 3.981100-6 1.804900-5 5.011900-6 2.860500-5 6.309600-6 4.533600-5 7.943300-6 7.185300-5 1.000000-5 1.138800-4 1.258900-5 1.804800-4 1.584900-5 2.860400-4 1.995300-5 4.533300-4 2.511900-5 7.184600-4 3.162300-5 1.138600-3 3.981100-5 1.803900-3 5.011900-5 2.858200-3 6.309600-5 4.528800-3 7.943300-5 7.167000-3 1.000000-4 1.133800-2 1.258900-4 1.794200-2 1.584900-4 2.833600-2 1.995300-4 4.468800-2 2.511900-4 7.028400-2 3.162300-4 1.099800-1 3.981100-4 1.709100-1 5.011900-4 2.627500-1 6.309600-4 3.975000-1 7.943300-4 5.877900-1 1.000000-3 8.433500-1 1.258900-3 1.166200+0 1.584900-3 1.550800+0 1.995300-3 1.996700+0 2.511900-3 2.521400+0 3.162300-3 3.151700+0 3.981100-3 3.901900+0 5.011900-3 4.765600+0 6.309600-3 5.729800+0 7.943300-3 6.765900+0 1.000000-2 7.816500+0 1.258900-2 8.809600+0 1.584900-2 9.714100+0 1.995300-2 1.052000+1 2.511900-2 1.120900+1 3.162300-2 1.172700+1 3.981100-2 1.205100+1 5.011900-2 1.218900+1 6.309600-2 1.215700+1 7.943300-2 1.196600+1 1.000000-1 1.162600+1 1.258900-1 1.115800+1 1.584900-1 1.058800+1 1.995300-1 9.949300+0 2.511900-1 9.269600+0 3.162300-1 8.569800+0 3.981100-1 7.869300+0 5.011900-1 7.181600+0 6.309600-1 6.514400+0 7.943300-1 5.876700+0 1.000000+0 5.269200+0 1.258900+0 4.696400+0 1.584900+0 4.159700+0 1.995300+0 3.661200+0 2.511900+0 3.202300+0 3.162300+0 2.783800+0 3.981100+0 2.406000+0 5.011900+0 2.067900+0 6.309600+0 1.768100+0 7.943300+0 1.504500+0 1.000000+1 1.274600+0 1.258900+1 1.075500+0 1.584900+1 9.041600-1 1.995300+1 7.576100-1 2.511900+1 6.329200-1 3.162300+1 5.273300-1 3.981100+1 4.382800-1 5.011900+1 3.634600-1 6.309600+1 3.008100-1 7.943300+1 2.485100-1 1.000000+2 2.049600-1 1.258900+2 1.687900-1 1.584900+2 1.388100-1 1.995300+2 1.140100-1 2.511900+2 9.352900-2 3.162300+2 7.664500-2 3.981100+2 6.274600-2 5.011900+2 5.132000-2 6.309600+2 4.193700-2 7.943300+2 3.424200-2 1.000000+3 2.793700-2 1.258900+3 2.277700-2 1.584900+3 1.855700-2 1.995300+3 1.510900-2 2.511900+3 1.229500-2 3.162300+3 9.998600-3 3.981100+3 8.126800-3 5.011900+3 6.602000-3 6.309600+3 5.360600-3 7.943300+3 4.350500-3 1.000000+4 3.529200-3 1.258900+4 2.861600-3 1.584900+4 2.319400-3 1.995300+4 1.879100-3 2.511900+4 1.521900-3 3.162300+4 1.232100-3 3.981100+4 9.970900-4 5.011900+4 8.066500-4 6.309600+4 6.523600-4 7.943300+4 5.274200-4 1.000000+5 4.262700-4 1 25000 7 7 5.493800+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510163-4 3.162278-4 3.159552-4 3.981072-4 3.976753-4 5.011872-4 5.005056-4 6.309573-4 6.298862-4 7.943282-4 7.926425-4 1.000000-3 9.973630-4 1.258925-3 1.254823-3 1.584893-3 1.578521-3 1.995262-3 1.985367-3 2.511886-3 2.496446-3 3.162278-3 3.138137-3 3.981072-3 3.943213-3 5.011872-3 4.952587-3 6.309573-3 6.216968-3 7.943282-3 7.799101-3 1.000000-2 9.776553-3 1.258925-2 1.224472-2 1.584893-2 1.531937-2 1.995262-2 1.913978-2 2.511886-2 2.387384-2 3.162278-2 2.972489-2 3.981072-2 3.693534-2 5.011872-2 4.577971-2 6.309573-2 5.658704-2 7.943282-2 6.973259-2 1.000000-1 8.566527-2 1.258925-1 1.048812-1 1.584893-1 1.279841-1 1.995262-1 1.556465-1 2.511886-1 1.886205-1 3.162278-1 2.278116-1 3.981072-1 2.742305-1 5.011872-1 3.290467-1 6.309573-1 3.937029-1 7.943282-1 4.696883-1 1.000000+0 5.591839-1 1.258925+0 6.645413-1 1.584893+0 7.888863-1 1.995262+0 9.359811-1 2.511886+0 1.110513+0 3.162278+0 1.318205+0 3.981072+0 1.566164+0 5.011872+0 1.862910+0 6.309573+0 2.219080+0 7.943282+0 2.647557+0 1.000000+1 3.164133+0 1.258925+1 3.788145+0 1.584893+1 4.543270+0 1.995262+1 5.458445+0 2.511886+1 6.569164+0 3.162278+1 7.919130+0 3.981072+1 9.561581+0 5.011872+1 1.156234+1 6.309573+1 1.400192+1 7.943282+1 1.697952+1 1.000000+2 2.061694+1 1.258925+2 2.506420+1 1.584893+2 3.050584+1 1.995262+2 3.716905+1 2.511886+2 4.533418+1 3.162278+2 5.534673+1 3.981072+2 6.763090+1 5.011872+2 8.271449+1 6.309573+2 1.012439+2 7.943282+2 1.240198+2 1.000000+3 1.520278+2 1.258925+3 1.864919+2 1.584893+3 2.289202+2 1.995262+3 2.811787+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739882-9 3.981072-5 4.342086-9 5.011872-5 6.881404-9 6.309573-5 1.090580-8 7.943282-5 1.727795-8 1.000000-4 2.737718-8 1.258925-4 4.338630-8 1.584893-4 6.871828-8 1.995262-4 1.088338-7 2.511886-4 1.723121-7 3.162278-4 2.725757-7 3.981072-4 4.318986-7 5.011872-4 6.816761-7 6.309573-4 1.071132-6 7.943282-4 1.685746-6 1.000000-3 2.636990-6 1.258925-3 4.102756-6 1.584893-3 6.372195-6 1.995262-3 9.895178-6 2.511886-3 1.544023-5 3.162278-3 2.414085-5 3.981072-3 3.785867-5 5.011872-3 5.928552-5 6.309573-3 9.260537-5 7.943282-3 1.441812-4 1.000000-2 2.234475-4 1.258925-2 3.445366-4 1.584893-2 5.295638-4 1.995262-2 8.128479-4 2.511886-2 1.245024-3 3.162278-2 1.897885-3 3.981072-2 2.875377-3 5.011872-2 4.339015-3 6.309573-2 6.508699-3 7.943282-2 9.700232-3 1.000000-1 1.433473-2 1.258925-1 2.101133-2 1.584893-1 3.050522-2 1.995262-1 4.387969-2 2.511886-1 6.256810-2 3.162278-1 8.841617-2 3.981072-1 1.238766-1 5.011872-1 1.721406-1 6.309573-1 2.372544-1 7.943282-1 3.246399-1 1.000000+0 4.408161-1 1.258925+0 5.943841-1 1.584893+0 7.960069-1 1.995262+0 1.059281+0 2.511886+0 1.401373+0 3.162278+0 1.844072+0 3.981072+0 2.414907+0 5.011872+0 3.148962+0 6.309573+0 4.090493+0 7.943282+0 5.295725+0 1.000000+1 6.835867+0 1.258925+1 8.801109+0 1.584893+1 1.130566+1 1.995262+1 1.449418+1 2.511886+1 1.854970+1 3.162278+1 2.370365+1 3.981072+1 3.024914+1 5.011872+1 3.855638+1 6.309573+1 4.909381+1 7.943282+1 6.245330+1 1.000000+2 7.938306+1 1.258925+2 1.008283+2 1.584893+2 1.279835+2 1.995262+2 1.623572+2 2.511886+2 2.058545+2 3.162278+2 2.608810+2 3.981072+2 3.304763+2 5.011872+2 4.184727+2 6.309573+2 5.297134+2 7.943282+2 6.703085+2 1.000000+3 8.479722+2 1.258925+3 1.072434+3 1.584893+3 1.355973+3 1.995262+3 1.714084+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 7.250000-6 1.477103+6 7.500000-6 1.164594+6 7.700000-6 9.631700+5 7.900000-6 7.946180+5 8.100000-6 6.536940+5 8.270000-6 5.523920+5 8.420000-6 4.748560+5 8.600000-6 3.947540+5 8.770000-6 3.302440+5 8.920000-6 2.810520+5 9.050000-6 2.435720+5 9.200000-6 2.055980+5 9.332543-6 1.762449+5 9.460000-6 1.513174+5 9.550000-6 1.354858+5 9.660509-6 1.178732+5 9.772372-6 1.019192+5 9.890000-6 8.699820+4 1.000000-5 7.460460+4 1.010000-5 6.453440+4 1.020000-5 5.550920+4 1.027000-5 4.976860+4 1.035142-5 4.364785+4 1.042000-5 3.892960+4 1.050000-5 3.389920+4 1.057000-5 2.989140+4 1.065000-5 2.573300+4 1.071519-5 2.265756+4 1.077000-5 2.027780+4 1.083927-5 1.752492+4 1.090000-5 1.533406+4 1.096478-5 1.321341+4 1.102000-5 1.157384+4 1.107000-5 1.021584+4 1.112000-5 8.973480+3 1.117000-5 7.841440+3 1.122018-5 6.811884+3 1.127000-5 5.890920+3 1.133000-5 4.909080+3 1.138000-5 4.192680+3 1.144000-5 3.449040+3 1.157000-5 2.243180+3 1.161449-5 1.949392+3 1.165000-5 1.755702+3 1.168000-5 1.619434+3 1.170000-5 1.542148+3 1.172000-5 1.475486+3 1.172000-5 1.766144+6 1.174000-5 1.767043+6 1.176000-5 1.767951+6 1.178000-5 1.768867+6 1.180000-5 1.769793+6 1.182000-5 1.770727+6 1.183500-5 1.771433+6 1.185000-5 1.772145+6 1.185000-5 2.936169+6 1.185500-5 2.936533+6 1.187000-5 2.937632+6 1.189200-5 2.939252+6 1.191000-5 2.940583+6 1.192700-5 2.941846+6 1.195000-5 2.943563+6 1.197700-5 2.945589+6 1.200000-5 2.947325+6 1.203000-5 2.949601+6 1.206000-5 2.951891+6 1.211000-5 2.955738+6 1.216186-5 2.959765+6 1.220000-5 2.963987+6 1.224000-5 2.969196+6 1.230269-5 2.977393+6 1.235000-5 2.983605+6 1.240000-5 2.990194+6 1.245000-5 2.996805+6 1.250000-5 3.003436+6 1.255800-5 3.011153+6 1.258925-5 3.015314+6 1.260000-5 3.017040+6 1.262000-5 3.020627+6 1.267000-5 3.029594+6 1.273503-5 3.041281+6 1.280000-5 3.052981+6 1.287000-5 3.065610+6 1.295000-5 3.080069+6 1.303167-5 3.094854+6 1.310000-5 3.109886+6 1.318257-5 3.128076+6 1.325000-5 3.142948+6 1.335000-5 3.165028+6 1.345000-5 3.187131+6 1.348963-5 3.195877+6 1.350000-5 3.198318+6 1.357000-5 3.216337+6 1.369300-5 3.248001+6 1.380384-5 3.276570+6 1.395000-5 3.314283+6 1.410000-5 3.353021+6 1.412538-5 3.359563+6 1.420000-5 3.379797+6 1.425000-5 3.394362+6 1.440000-5 3.438030+6 1.455000-5 3.481758+6 1.470000-5 3.525537+6 1.480000-5 3.554708+6 1.490000-5 3.585029+6 1.507000-5 3.636562+6 1.513561-5 3.656426+6 1.531087-5 3.712314+6 1.550000-5 3.772691+6 1.570000-5 3.836653+6 1.584893-5 3.884331+6 1.590000-5 3.901056+6 1.621810-5 4.005272+6 1.650000-5 4.097881+6 1.678804-5 4.192733+6 1.680000-5 4.196715+6 1.717908-5 4.322889+6 1.757924-5 4.456533+6 1.800000-5 4.597552+6 1.850000-5 4.765788+6 1.905461-5 4.953242+6 1.950000-5 5.104430+6 2.000000-5 5.269312+6 2.070000-5 5.495806+6 2.150000-5 5.755712+6 2.187762-5 5.873337+6 2.238721-5 6.027814+6 2.330000-5 6.304648+6 2.331800-5 6.310104+6 2.371374-5 6.423878+6 2.426610-5 6.577029+6 2.511886-5 6.812940+6 2.540973-5 6.888322+6 2.660725-5 7.183976+6 2.691535-5 7.259650+6 2.818383-5 7.532600+6 2.851018-5 7.602226+6 3.000000-5 7.872276+6 3.019952-5 7.908017+6 3.162278-5 8.115263+6 3.198895-5 8.163602+6 3.311311-5 8.288584+6 3.350000-5 8.326154+6 3.427678-5 8.386928+6 3.500000-5 8.442394+6 3.507519-5 8.447167+6 3.672823-5 8.520957+6 3.682900-5 8.524166+6 3.850000-5 8.544582+6 3.890451-5 8.545002+6 3.981072-5 8.530817+6 4.027170-5 8.523593+6 4.073803-5 8.511622+6 4.220000-5 8.452866+6 4.300000-5 8.413809+6 4.315191-5 8.404233+6 4.466836-5 8.310644+6 4.518559-5 8.274916+6 4.677351-5 8.148316+6 4.731513-5 8.106431+6 4.800000-5 8.048957+6 5.011872-5 7.854756+6 5.069907-5 7.799697+6 5.128614-5 7.744914+6 5.370318-5 7.505394+6 5.495409-5 7.381488+6 5.500000-5 7.376660+6 5.754399-5 7.119507+6 5.900000-5 6.974242+6 6.000000-5 6.871926+6 6.078000-5 6.794213+6 6.078000-5 7.735313+6 6.160000-5 7.624980+6 6.200000-5 7.569097+6 6.209000-5 7.556280+6 6.209000-5 8.010828+6 6.240000-5 7.962060+6 6.280000-5 7.897302+6 6.334000-5 7.809453+6 6.350000-5 7.782856+6 6.420000-5 7.663134+6 6.500000-5 7.529152+6 6.531306-5 7.477551+6 6.683439-5 7.234280+6 6.800000-5 7.054852+6 6.839116-5 6.997770+6 6.950000-5 6.835847+6 7.000000-5 6.766907+6 7.079458-5 6.661226+6 7.150000-5 6.572284+6 7.161434-5 6.558254+6 7.190000-5 6.522501+6 7.270000-5 6.426706+6 7.300000-5 6.391833+6 7.328245-5 6.360180+6 7.350000-5 6.334950+6 7.413102-5 6.263582+6 7.470000-5 6.201963+6 7.500000-5 6.170358+6 7.585776-5 6.083753+6 7.620000-5 6.050271+6 7.673615-5 5.999877+6 7.690000-5 5.984170+6 7.730000-5 5.946628+6 7.800000-5 5.883609+6 7.852356-5 5.835647+6 7.900000-5 5.793759+6 8.000000-5 5.708828+6 8.040000-5 5.676394+6 8.128305-5 5.607024+6 8.150000-5 5.589689+6 8.300000-5 5.476884+6 8.317638-5 5.464100+6 8.450000-5 5.367409+6 8.511380-5 5.324372+6 8.609938-5 5.258281+6 8.650000-5 5.231097+6 8.709636-5 5.191697+6 8.810489-5 5.126699+6 8.912509-5 5.060692+6 9.120108-5 4.934167+6 9.258000-5 4.852241+6 9.258000-5 5.228519+6 9.300000-5 5.202220+6 9.332543-5 5.182143+6 9.500000-5 5.077922+6 9.660509-5 4.984896+6 9.772372-5 4.920912+6 9.885531-5 4.859513+6 9.900000-5 4.851820+6 1.011579-4 4.734683+6 1.035142-4 4.616490+6 1.040000-4 4.592556+6 1.047129-4 4.557519+6 1.060000-4 4.496840+6 1.083927-4 4.385125+6 1.100000-4 4.313153+6 1.109175-4 4.273857+6 1.135011-4 4.165083+6 1.148154-4 4.111717+6 1.150000-4 4.104109+6 1.174898-4 4.004275+6 1.202264-4 3.900180+6 1.220000-4 3.834787+6 1.244515-4 3.747207+6 1.273503-4 3.646868+6 1.300000-4 3.558239+6 1.303167-4 3.547892+6 1.330000-4 3.461742+6 1.350000-4 3.399429+6 1.380384-4 3.305550+6 1.400000-4 3.246816+6 1.412538-4 3.210558+6 1.428894-4 3.164058+6 1.430000-4 3.160918+6 1.445440-4 3.117389+6 1.480000-4 3.022456+6 1.513561-4 2.933151+6 1.548817-4 2.842611+6 1.584893-4 2.754019+6 1.603245-4 2.710222+6 1.621810-4 2.666252+6 1.659587-4 2.580322+6 1.678804-4 2.538242+6 1.720000-4 2.450825+6 1.778279-4 2.333077+6 1.800000-4 2.291222+6 1.819701-4 2.254123+6 1.820000-4 2.253569+6 1.883649-4 2.140407+6 1.900000-4 2.112088+6 1.927525-4 2.065795+6 1.950000-4 2.029067+6 2.000000-4 1.951116+6 2.041738-4 1.889042+6 2.089296-4 1.822054+6 2.113489-4 1.789259+6 2.120000-4 1.780507+6 2.162719-4 1.723809+6 2.264644-4 1.599856+6 2.300000-4 1.559710+6 2.317395-4 1.540408+6 2.344229-4 1.510959+6 2.426610-4 1.425993+6 2.454709-4 1.398365+6 2.483133-4 1.371087+6 2.511886-4 1.344420+6 2.580000-4 1.284381+6 2.600160-4 1.267216+6 2.650000-4 1.225720+6 2.786121-4 1.122627+6 2.818383-4 1.100249+6 2.851018-4 1.077976+6 2.884032-4 1.055719+6 3.054921-4 9.519346+5 3.100000-4 9.269246+5 3.126079-4 9.128176+5 3.162278-4 8.938121+5 3.311311-4 8.210773+5 3.350000-4 8.034527+5 3.507519-4 7.370676+5 3.548134-4 7.213428+5 3.589219-4 7.058264+5 3.630781-4 6.903727+5 3.935501-4 5.911174+5 3.981072-4 5.779309+5 4.216965-4 5.158053+5 4.315191-4 4.929966+5 4.365158-4 4.818139+5 4.415704-4 4.707819+5 4.518559-4 4.494417+5 4.731513-4 4.096413+5 4.786301-4 4.001324+5 4.897788-4 3.816440+5 4.954502-4 3.727228+5 5.128614-4 3.471888+5 5.150000-4 3.442244+5 5.248075-4 3.309126+5 5.495409-4 3.004091+5 5.559043-4 2.932423+5 5.688529-4 2.794051+5 5.800000-4 2.681083+5 5.888437-4 2.595710+5 6.165950-4 2.351921+5 6.237348-4 2.294710+5 6.309573-4 2.238832+5 6.382635-4 2.183568+5 6.522200-4 2.082771+5 6.522200-4 6.661011+5 6.523800-4 6.767456+5 6.527000-4 7.028149+5 6.530000-4 7.259145+5 6.533000-4 7.480744+5 6.538000-4 7.825802+5 6.543000-4 8.144228+5 6.547000-4 8.383232+5 6.552000-4 8.663074+5 6.558000-4 8.971601+5 6.563000-4 9.208702+5 6.571000-4 9.554049+5 6.579000-4 9.861019+5 6.587000-4 1.013245+6 6.595000-4 1.037138+6 6.605000-4 1.062852+6 6.615000-4 1.084409+6 6.625000-4 1.102269+6 6.629700-4 1.108851+6 6.629700-4 1.330171+6 6.632000-4 1.341250+6 6.636000-4 1.362751+6 6.638000-4 1.372919+6 6.639500-4 1.380066+6 6.643000-4 1.395874+6 6.647000-4 1.413154+6 6.653000-4 1.437797+6 6.658500-4 1.456845+6 6.665000-4 1.477833+6 6.670000-4 1.492788+6 6.672000-4 1.498198+6 6.680000-4 1.517613+6 6.687000-4 1.532990+6 6.690100-4 1.539103+6 6.695300-4 1.547953+6 6.705000-4 1.562231+6 6.715000-4 1.574835+6 6.725000-4 1.582965+6 6.737500-4 1.590712+6 6.750000-4 1.596034+6 6.765000-4 1.597275+6 6.780000-4 1.596091+6 6.800000-4 1.591568+6 6.822000-4 1.583788+6 6.839116-4 1.575952+6 6.850000-4 1.570998+6 6.918310-4 1.534473+6 7.000000-4 1.492292+6 7.328245-4 1.338338+6 7.664700-4 1.203000+6 7.664700-4 1.362162+6 7.673615-4 1.358638+6 7.762471-4 1.323980+6 7.852356-4 1.290159+6 7.943282-4 1.257214+6 8.222426-4 1.164033+6 8.317638-4 1.134010+6 8.413951-4 1.104420+6 8.609938-4 1.047185+6 8.709636-4 1.019694+6 8.810489-4 9.929999+5 9.120108-4 9.171324+5 9.332543-4 8.696355+5 9.500000-4 8.341408+5 9.700000-4 7.941202+5 9.850000-4 7.658892+5 9.885531-4 7.594068+5 1.000000-3 7.390542+5 1.030000-3 6.893224+5 1.047129-3 6.626945+5 1.059254-3 6.445992+5 1.083927-3 6.096787+5 1.110000-3 5.756403+5 1.122018-3 5.608477+5 1.135011-3 5.451794+5 1.230269-3 4.466914+5 1.258925-3 4.220357+5 1.273503-3 4.102238+5 1.288250-3 3.987515+5 1.318257-3 3.766388+5 1.333521-3 3.659353+5 1.380384-3 3.354681+5 1.400000-3 3.237775+5 1.412538-3 3.165735+5 1.445440-3 2.987020+5 1.450000-3 2.963376+5 1.462177-3 2.900791+5 1.550000-3 2.498471+5 1.584893-3 2.360425+5 1.621810-3 2.225758+5 1.640590-3 2.161052+5 1.659587-3 2.098276+5 1.698244-3 1.978280+5 1.701200-3 1.969460+5 1.717908-3 1.920152+5 1.737801-3 1.863659+5 1.757924-3 1.808876+5 1.778279-3 1.755727+5 1.798871-3 1.703874+5 1.862087-3 1.557423+5 1.883649-3 1.511533+5 1.905461-3 1.467030+5 2.000000-3 1.292149+5 2.018366-3 1.261610+5 2.041738-3 1.224166+5 2.065380-3 1.187844+5 2.070000-3 1.180924+5 2.113489-3 1.118087+5 2.187762-3 1.021189+5 2.213095-3 9.907022+4 2.264644-3 9.319844+4 2.290868-3 9.039687+4 2.317395-3 8.767957+4 2.398833-3 7.997735+4 2.400000-3 7.987400+4 2.454709-3 7.522890+4 2.511886-3 7.076989+4 2.570396-3 6.656739+4 2.600160-3 6.454633+4 2.660725-3 6.068860+4 2.722701-3 5.704308+4 2.818383-3 5.199197+4 2.851018-3 5.041122+4 2.884032-3 4.887413+4 2.917427-3 4.738527+4 2.951209-3 4.594241+4 3.019952-3 4.317076+4 3.054921-3 4.184192+4 3.311311-3 3.364440+4 3.349654-3 3.261108+4 3.388442-3 3.160309+4 3.427678-3 3.062723+4 3.467369-3 2.967560+4 3.758374-3 2.381224+4 3.801894-3 2.307752+4 3.845918-3 2.236557+4 3.890451-3 2.167334+4 3.935501-3 2.099900+4 4.073803-3 1.908848+4 4.265795-3 1.681562+4 4.315191-3 1.629203+4 4.466836-3 1.481874+4 4.518559-3 1.435699+4 4.677351-3 1.304146+4 4.841724-3 1.184959+4 4.897788-3 1.147757+4 5.128614-3 1.010482+4 5.188000-3 9.788041+3 5.308844-3 9.179280+3 5.432503-3 8.606414+3 5.559043-3 8.070225+3 5.623413-3 7.815062+3 5.956621-3 6.657588+3 6.000000-3 6.523653+3 6.025596-3 6.446186+3 6.165950-3 6.042785+3 6.300000-3 5.689393+3 6.309573-3 5.665148+3 6.382635-3 5.484723+3 6.456542-3 5.310152+3 6.510900-3 5.186562+3 6.510900-3 4.181322+4 6.606934-3 4.030642+4 6.839116-3 3.696491+4 6.918310-3 3.591297+4 7.000000-3 3.485360+4 7.328245-3 3.100846+4 7.413102-3 3.011091+4 7.673615-3 2.757177+4 7.762471-3 2.677415+4 7.852356-3 2.597180+4 8.222426-3 2.299339+4 8.511380-3 2.098599+4 8.609938-3 2.035645+4 8.709636-3 1.974584+4 9.120108-3 1.748179+4 9.225714-3 1.695711+4 9.549926-3 1.547602+4 9.660509-3 1.501166+4 9.885531-3 1.412434+4 1.000000-2 1.370045+4 1.023293-2 1.289057+4 1.047129-2 1.210800+4 1.059254-2 1.173479+4 1.122018-2 1.003298+4 1.135011-2 9.723481+3 1.148154-2 9.423516+3 1.150000-2 9.382403+3 1.161449-2 9.132751+3 1.202264-2 8.313292+3 1.230269-2 7.808349+3 1.244515-2 7.567253+3 1.300000-2 6.719627+3 1.318257-2 6.463680+3 1.333521-2 6.259750+3 1.348963-2 6.062222+3 1.350000-2 6.049262+3 1.412538-2 5.332442+3 1.445440-2 5.001268+3 1.462177-2 4.843314+3 1.496236-2 4.542236+3 1.566751-2 3.995192+3 1.584893-2 3.869037+3 1.603245-2 3.746873+3 1.621810-2 3.628546+3 1.659587-2 3.399012+3 1.698244-2 3.184026+3 1.737801-2 2.982445+3 1.819701-2 2.616826+3 1.840772-2 2.532666+3 1.883649-2 2.372362+3 1.905461-2 2.296054+3 1.949845-2 2.150713+3 2.000000-2 2.001068+3 2.137962-2 1.650648+3 2.187762-2 1.544544+3 2.213095-2 1.494075+3 2.264644-2 1.398035+3 2.290868-2 1.352357+3 2.317395-2 1.308165+3 2.371374-2 1.224072+3 2.454709-2 1.107853+3 2.600160-2 9.360568+2 2.630268-2 9.050368+2 2.754229-2 7.909099+2 2.786121-2 7.647048+2 2.818383-2 7.393656+2 2.851018-2 7.148416+2 3.019952-2 6.039026+2 3.090295-2 5.640450+2 3.235937-2 4.920442+2 3.273407-2 4.755303+2 3.388442-2 4.292424+2 3.467369-2 4.008891+2 3.630781-2 3.496781+2 3.715352-2 3.265823+2 3.981072-2 2.654483+2 4.073803-2 2.477304+2 4.120975-2 2.393124+2 4.365158-2 2.013259+2 4.518559-2 1.814952+2 4.623810-2 1.693714+2 4.841724-2 1.472968+2 4.954502-2 1.373637+2 5.128614-2 1.236942+2 5.370318-2 1.075616+2 5.432503-2 1.038689+2 5.754399-2 8.722076+1 5.821032-2 8.422629+1 5.956621-2 7.849445+1 6.165950-2 7.061999+1 6.839116-2 5.141513+1 7.161434-2 4.465090+1 7.585776-2 3.743346+1 7.762471-2 3.488459+1 7.852356-2 3.367515+1 7.943282-2 3.249770+1 8.222426-2 2.920677+1 8.511380-2 2.624922+1 8.912509-2 2.276662+1 9.015711-2 2.197074+1 9.660509-2 1.774661+1 9.885531-2 1.652750+1 1.000000-1 1.594974+1 1.011580-1 1.539217+1 1.047129-1 1.383378+1 1.096478-1 1.199818+1 1.122019-1 1.117387+1 1.135011-1 1.078323+1 1.188502-1 9.352548+0 1.202264-1 9.025601+0 1.288250-1 7.290445+0 1.303167-1 7.035601+0 1.348963-1 6.323315+0 1.412538-1 5.484510+0 1.445440-1 5.107829+0 1.462177-1 4.929308+0 1.479108-1 4.757026+0 1.513561-1 4.432890+0 1.566751-1 3.987647+0 1.621810-1 3.587136+0 1.640590-1 3.462779+0 1.659587-1 3.342741+0 1.737801-1 2.902830+0 1.798871-1 2.611342+0 1.840772-1 2.433469+0 1.883649-1 2.267862+0 1.927525-1 2.113531+0 1.972423-1 1.970895+0 2.041738-1 1.774797+0 2.065380-1 1.713868+0 2.113489-1 1.598213+0 2.137962-1 1.543349+0 2.162719-1 1.490374+0 2.213095-1 1.389821+0 2.213400-1 1.389241+0 2.290868-1 1.251728+0 2.371374-1 1.129000+0 2.398833-1 1.090826+0 2.426610-1 1.053943+0 2.454709-1 1.018308+0 2.483133-1 9.838796-1 2.511886-1 9.506158-1 2.540973-1 9.184817-1 2.570396-1 8.874349-1 2.600160-1 8.574374-1 2.660725-1 8.005238-1 2.691535-1 7.739180-1 2.722701-1 7.481979-1 2.786121-1 6.992954-1 2.818383-1 6.760561-1 2.884032-1 6.318692-1 2.917427-1 6.108717-1 3.000000-1 5.628284-1 3.019952-1 5.519855-1 3.054921-1 5.336757-1 3.090295-1 5.162722-1 3.273407-1 4.374063-1 3.311311-1 4.231424-1 3.349654-1 4.093477-1 3.388442-1 3.960028-1 3.427678-1 3.830934-1 3.467369-1 3.706259-1 3.548134-1 3.473521-1 3.630781-1 3.255396-1 3.672823-1 3.151532-1 3.715352-1 3.050982-1 3.758374-1 2.953670-1 3.845918-1 2.768259-1 3.890451-1 2.680128-1 3.981072-1 2.515675-1 4.073803-1 2.361323-1 4.120975-1 2.287737-1 4.168694-1 2.216445-1 4.265795-1 2.080501-1 4.315191-1 2.015813-1 4.415705-1 1.895111-1 4.466836-1 1.837499-1 4.570882-1 1.727476-1 4.623810-1 1.674962-1 4.677351-1 1.624061-1 4.731513-1 1.574709-1 4.786301-1 1.526960-1 4.841724-1 1.481787-1 5.011872-1 1.354131-1 5.069907-1 1.314072-1 5.128614-1 1.275201-1 5.188000-1 1.237493-1 5.248075-1 1.200899-1 5.308844-1 1.165469-1 5.495409-1 1.067771-1 5.559043-1 1.037063-1 5.623413-1 1.007238-1 5.688529-1 9.782819-2 5.754399-1 9.501579-2 5.821032-1 9.229060-2 5.956621-1 8.720702-2 6.025596-1 8.477132-2 6.095369-1 8.240376-2 6.165950-1 8.010234-2 6.309573-1 7.569226-2 6.382635-1 7.358453-2 6.456542-1 7.159452-2 6.531306-1 6.965839-2 6.606935-1 6.777470-2 6.683439-1 6.594198-2 6.760830-1 6.415881-2 6.918310-1 6.073720-2 6.998420-1 5.910032-2 7.161434-1 5.606227-2 7.328245-1 5.318052-2 7.413102-1 5.179569-2 7.498942-1 5.044748-2 7.585776-1 4.913790-2 7.762471-1 4.669133-2 7.852356-1 4.551412-2 8.128305-1 4.215763-2 8.222427-1 4.109519-2 8.317638-1 4.006235-2 8.511380-1 3.812756-2 8.609938-1 3.719549-2 8.709636-1 3.628623-2 8.810489-1 3.539922-2 8.912509-1 3.453391-2 9.120108-1 3.286711-2 9.225714-1 3.206414-2 9.332543-1 3.128082-2 9.549926-1 2.982893-2 9.660509-1 2.912850-2 9.772372-1 2.844487-2 9.885531-1 2.777734-2 1.011579+0 2.648894-2 1.023293+0 2.588700-2 1.035142+0 2.529881-2 1.059254+0 2.416223-2 1.083927+0 2.307674-2 1.096478+0 2.255243-2 1.109175+0 2.204019-2 1.130300+0 2.122587-2 1.135011+0 2.105045-2 1.161449+0 2.014261-2 1.174898+0 1.970348-2 1.202264+0 1.885382-2 1.216186+0 1.844298-2 1.230269+0 1.804109-2 1.250000+0 1.750011-2 1.258925+0 1.726349-2 1.273503+0 1.690088-2 1.333521+0 1.552513-2 1.364583+0 1.488012-2 1.396368+0 1.426195-2 1.412538+0 1.397337-2 1.479108+0 1.287633-2 1.531087+0 1.211078-2 1.548817+0 1.186585-2 1.603245+0 1.118658-2 1.640590+0 1.075546-2 1.659587+0 1.054628-2 1.698244+0 1.014003-2 1.717908+0 9.942824-3 1.737801+0 9.749460-3 1.798871+0 9.211931-3 1.840772+0 8.870149-3 1.862087+0 8.704117-3 1.905461+0 8.381316-3 1.927525+0 8.224441-3 1.949845+0 8.070512-3 2.000000+0 7.753026-3 2.018366+0 7.641837-3 2.065380+0 7.368778-3 2.089296+0 7.235989-3 2.137962+0 6.977549-3 2.162719+0 6.851813-3 2.187762+0 6.728353-3 2.213095+0 6.607121-3 2.264644+0 6.379993-3 2.290868+0 6.269371-3 2.344229+0 6.053854-3 2.371374+0 5.948937-3 2.426610+0 5.744530-3 2.454709+0 5.644977-3 2.483133+0 5.547156-3 2.511886+0 5.451034-3 2.570396+0 5.270627-3 2.600160+0 5.182675-3 2.660725+0 5.011154-3 2.691535+0 4.927570-3 2.754229+0 4.764562-3 2.818383+0 4.606952-3 2.851018+0 4.530118-3 2.884032+0 4.454566-3 2.951209+0 4.312517-3 2.985383+0 4.243199-3 3.054921+0 4.107891-3 3.090295+0 4.041893-3 3.162278+0 3.913058-3 3.273407+0 3.727474-3 3.311311+0 3.667592-3 3.349654+0 3.608675-3 3.427678+0 3.497690-3 3.467369+0 3.443485-3 3.548134+0 3.337583-3 3.589219+0 3.285883-3 3.672823+0 3.184872-3 3.801894+0 3.039152-3 3.845918+0 2.992078-3 3.890451+0 2.945736-3 4.000000+0 2.840499-3 4.027170+0 2.815420-3 4.168694+0 2.690869-3 4.216965+0 2.650607-3 4.315191+0 2.571879-3 4.466836+0 2.458155-3 4.518559+0 2.421378-3 4.570882+0 2.385151-3 4.731513+0 2.283123-3 4.954502+0 2.153845-3 5.011872+0 2.122698-3 5.128614+0 2.061750-3 5.308844+0 1.973596-3 5.370318+0 1.945058-3 5.432503+0 1.916933-3 5.495409+0 1.889286-3 5.688529+0 1.810989-3 6.000000+0 1.696466-3 6.025596+0 1.687643-3 6.237348+0 1.617728-3 6.456542+0 1.550712-3 6.606934+0 1.507586-3 6.683439+0 1.486527-3 7.000000+0 1.406960-3 7.328245+0 1.332368-3 7.585776+0 1.278792-3 7.673615+0 1.261416-3 7.943282+0 1.210695-3 8.128305+0 1.178021-3 8.222427+0 1.162055-3 8.709636+0 1.087378-3 9.120108+0 1.031106-3 9.440609+0 9.908368-4 9.772372+0 9.521411-4 1.011579+1 9.149585-4 1.023293+1 9.029150-4 1.109175+1 8.247006-4 1.122018+1 8.140951-4 1.188502+1 7.630759-4 1.230269+1 7.340211-4 1.258925+1 7.152695-4 1.303167+1 6.880365-4 1.318257+1 6.792091-4 1.462177+1 6.062079-4 1.479108+1 5.985973-4 1.566751+1 5.619535-4 1.621810+1 5.410587-4 1.659587+1 5.275625-4 1.717908+1 5.079477-4 1.737801+1 5.015846-4 2.000000+1 4.314106-4 2.018366+1 4.272019-4 2.113489+1 4.066151-4 2.200000+1 3.894957-4 2.213095+1 3.870252-4 2.290868+1 3.729549-4 2.426610+1 3.506326-4 2.454709+1 3.463381-4 2.884032+1 2.923293-4 3.090295+1 2.718428-4 3.235937+1 2.589918-4 3.349654+1 2.497541-4 3.589219+1 2.322558-4 4.315191+1 1.920274-4 4.623810+1 1.788080-4 4.841724+1 1.705059-4 4.897788+1 1.684913-4 5.248075+1 1.568941-4 6.237348+1 1.312747-4 7.498942+1 1.088235-4 7.762471+1 1.050628-4 8.222427+1 9.908250-5 8.317638+1 9.792792-5 9.332543+1 8.709690-5 1.230269+2 6.574084-5 1.244515+2 6.498087-5 1.479108+2 5.458788-5 1.548817+2 5.210893-5 1.640590+2 4.916823-5 1.659587+2 4.860032-5 1.862087+2 4.326973-5 2.454709+2 3.274110-5 2.483133+2 3.236483-5 2.951209+2 2.721495-5 3.090295+2 2.598584-5 3.273407+2 2.452729-5 3.311311+2 2.424555-5 3.715352+2 2.160021-5 9.772372+2 8.184596-6 9.885531+2 8.090847-6 1.174898+3 6.807135-6 1.230269+3 6.500648-6 1.303167+3 6.136880-6 1.318257+3 6.066606-6 2.951209+3 2.709068-6 1.000000+5 7.984965-8 1 25000 7 0 5.493800+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 7.250000-6 7.250000-6 1.172000-5 7.250000-6 1.172000-5 1.171627-5 1.185000-5 1.171675-5 1.185000-5 1.176958-5 1.757924-5 1.167590-5 3.500000-5 1.169634-5 6.078000-5 1.170744-5 6.078000-5 1.308205-5 6.209000-5 1.303660-5 6.209000-5 1.360795-5 6.950000-5 1.315488-5 7.328245-5 1.301469-5 7.730000-5 1.297631-5 8.150000-5 1.303381-5 8.709636-5 1.321138-5 9.258000-5 1.344503-5 9.258000-5 1.482923-5 9.900000-5 1.512675-5 1.273503-4 1.670126-5 1.412538-4 1.735697-5 1.584893-4 1.802735-5 1.820000-4 1.877544-5 2.089296-4 1.947962-5 2.344229-4 2.002159-5 2.650000-4 2.054936-5 3.126079-4 2.120091-5 3.630781-4 2.173398-5 4.365158-4 2.231316-5 5.248075-4 2.283421-5 6.382635-4 2.332414-5 6.522200-4 2.337635-5 6.522200-4 3.571349-5 6.533000-4 3.634761-5 6.547000-4 3.690552-5 6.563000-4 3.732445-5 6.587000-4 3.771985-5 6.625000-4 3.805491-5 6.629700-4 3.807966-5 6.629700-4 3.864958-5 6.672000-4 3.900028-5 6.750000-4 3.921297-5 7.664700-4 3.924774-5 7.664700-4 4.177069-5 1.047129-3 4.258830-5 1.621810-3 4.391961-5 2.317395-3 4.517897-5 3.054921-3 4.624645-5 4.073803-3 4.741775-5 5.432503-3 4.860954-5 6.510900-3 4.934977-5 6.510900-3 6.922022-5 1.059254-2 6.971763-5 2.137962-2 7.011541-5 6.165950-2 7.037462-5 8.128305-1 7.049566-5 1.000000+5 7.049723-5 1 25000 7 7 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.250000-6 0.0 6.078000-5 0.0 6.078000-5 1.45582-10 6.160000-5 1.42881-10 6.209000-5 1.40752-10 6.209000-5 2.02796-10 6.280000-5 1.98956-10 6.350000-5 1.94651-10 6.683439-5 1.71073-10 6.800000-5 1.63248-10 6.950000-5 1.54431-10 7.079458-5 1.48056-10 7.190000-5 1.43593-10 7.300000-5 1.40122-10 7.413102-5 1.37618-10 7.500000-5 1.36310-10 7.620000-5 1.35355-10 7.730000-5 1.35314-10 7.852356-5 1.36165-10 8.000000-5 1.38309-10 8.150000-5 1.41440-10 8.317638-5 1.46064-10 8.511380-5 1.52656-10 8.709636-5 1.60425-10 8.810489-5 1.64577-10 9.120108-5 1.78779-10 9.258000-5 1.85411-10 9.258000-5 2.62328-10 9.500000-5 2.73398-10 9.900000-5 2.93660-10 1.060000-4 3.31860-10 1.174898-4 3.95661-10 1.244515-4 4.32036-10 1.303167-4 4.60876-10 1.380384-4 4.96014-10 1.445440-4 5.22910-10 1.513561-4 5.49012-10 1.621810-4 5.86423-10 1.720000-4 6.17410-10 1.820000-4 6.46595-10 1.950000-4 6.81079-10 2.089296-4 7.14076-10 2.162719-4 7.30202-10 2.317395-4 7.60436-10 2.483133-4 7.89223-10 2.650000-4 8.14718-10 2.884032-4 8.46176-10 3.126079-4 8.74564-10 3.350000-4 8.97497-10 3.630781-4 9.22008-10 3.981072-4 9.47678-10 4.415704-4 9.74275-10 4.954502-4 1.000945-9 5.559043-4 1.024506-9 6.382635-4 1.049498-9 6.522200-4 1.053066-9 6.522200-4 1.275650-6 6.530000-4 1.324814-6 6.538000-4 1.364554-6 6.547000-4 1.398572-6 6.558000-4 1.430099-6 6.571000-4 1.457755-6 6.587000-4 1.482444-6 6.605000-4 1.501966-6 6.629700-4 1.519378-6 6.629700-4 1.626999-6 6.647000-4 1.655571-6 6.672000-4 1.682903-6 6.705000-4 1.704101-6 6.750000-4 1.718806-6 6.822000-4 1.726087-6 7.664700-4 1.722839-6 7.664700-4 1.764221-6 1.333521-3 1.769425-6 6.510900-3 1.777043-6 6.510900-3 1.623372-3 8.222426-3 1.636770-3 1.161449-2 1.649853-3 1.905461-2 1.661206-3 3.715352-2 1.668178-3 1.840772-1 1.671326-3 1.000000+5 1.671527-3 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.250000-6 0.0 1.172000-5 4.470000-6 1.172000-5 3.734362-9 1.176000-5 4.347212-8 1.185000-5 1.332517-7 1.185000-5 8.042498-8 1.203000-5 2.610215-7 1.235000-5 5.843718-7 1.310000-5 1.349091-6 1.531087-5 3.608780-6 1.800000-5 6.326578-6 6.078000-5 4.907256-5 6.078000-5 4.769780-5 6.209000-5 4.905326-5 6.209000-5 4.848184-5 7.300000-5 5.997873-5 8.150000-5 6.846605-5 9.258000-5 7.913479-5 9.258000-5 7.775051-5 1.445440-4 1.270474-4 2.120000-4 1.924466-4 3.630781-4 3.413432-4 6.522200-4 6.288426-4 6.522200-4 6.152309-4 6.605000-4 6.210882-4 6.629700-4 6.233710-4 6.629700-4 6.226934-4 7.664700-4 7.254994-4 7.664700-4 7.229351-4 6.510900-3 6.459773-3 6.510900-3 4.818308-3 1.412538-2 1.240023-2 1.000000+5 1.000000+5 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 6.510900-3 3.662666+4 6.918310-3 3.153852+4 7.762471-3 2.361299+4 1.023293-2 1.144972+4 1.300000-2 5.995400+3 1.621810-2 3.247357+3 2.000000-2 1.794662+3 2.454709-2 9.951862+2 3.019952-2 5.431418+2 3.715352-2 2.939768+2 4.623810-2 1.525609+2 5.821032-2 7.590326+1 7.852356-2 3.035946+1 1.479108-1 4.288747+0 1.927525-1 1.905944+0 2.290868-1 1.128718+0 2.660725-1 7.218274-1 3.054921-1 4.812191-1 3.467369-1 3.341895-1 3.890451-1 2.416612-1 4.315191-1 1.817624-1 4.786301-1 1.376847-1 5.308844-1 1.050916-1 5.821032-1 8.322075-2 6.382635-1 6.635435-2 6.998420-1 5.329458-2 7.585776-1 4.431356-2 8.317638-1 3.613140-2 9.332543-1 2.821378-2 1.011579+0 2.389191-2 1.135011+0 1.898675-2 1.258925+0 1.557104-2 1.396368+0 1.286377-2 1.548817+0 1.070256-2 1.737801+0 8.793643-3 1.949845+0 7.279290-3 2.213095+0 5.959329-3 2.511886+0 4.916595-3 2.884032+0 4.017833-3 3.349654+0 3.254876-3 3.890451+0 2.656932-3 4.570882+0 2.151312-3 5.495409+0 1.704026-3 6.683439+0 1.340761-3 8.222427+0 1.048111-3 1.023293+1 8.143809-4 1.318257+1 6.126119-4 1.737801+1 4.524027-4 2.454709+1 3.123800-4 3.589219+1 2.094851-4 6.237348+1 1.184047-4 1.230269+2 5.929532-5 2.454709+2 2.953122-5 9.772372+2 7.382213-6 1.000000+5 7.202200-8 1 25000 7 0 5.493800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 6.510900-3 7.203400-5 1.000000+5 7.203400-5 1 25000 7 7 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.510900-3 1.853000-3 1.000000+5 1.853000-3 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.510900-3 4.585866-3 1.000000+5 1.000000+5 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 7.664700-4 1.591619+5 8.222426-4 1.470613+5 8.709636-4 1.350964+5 9.120108-4 1.266156+5 1.059254-3 1.013347+5 1.122018-3 9.248164+4 1.288250-3 7.397549+4 1.400000-3 6.418300+4 1.621810-3 4.948927+4 1.778279-3 4.179870+4 2.070000-3 3.132280+4 2.317395-3 2.509258+4 2.660725-3 1.898151+4 3.019952-3 1.458330+4 3.427678-3 1.113190+4 3.935501-3 8.228767+3 4.518559-3 6.036486+3 5.188000-3 4.396198+3 5.956621-3 3.179267+3 6.839116-3 2.283657+3 7.852356-3 1.629633+3 9.120108-3 1.122549+3 1.059254-2 7.676186+2 1.230269-2 5.211486+2 1.445440-2 3.407578+2 1.698244-2 2.210847+2 2.000000-2 1.414570+2 2.371374-2 8.818520+1 2.818383-2 5.420201+1 3.388442-2 3.199667+1 4.073803-2 1.874562+1 4.954502-2 1.054118+1 6.165950-2 5.493660+0 7.762471-2 2.745026+0 1.047129-1 1.104169+0 1.840772-1 1.972741-1 2.213095-1 1.131490-1 2.600160-1 7.006409-2 3.019952-1 4.522127-2 3.427678-1 3.144000-2 3.845918-1 2.275094-2 4.265795-1 1.711659-2 4.731513-1 1.296583-2 5.248075-1 9.894107-3 5.754399-1 7.832030-3 6.309573-1 6.241306-3 6.918310-1 5.009399-3 7.498942-1 4.161679-3 8.222427-1 3.390690-3 9.332543-1 2.581868-3 1.011579+0 2.186301-3 1.135011+0 1.737425-3 1.258925+0 1.424906-3 1.396368+0 1.177118-3 1.548817+0 9.793064-4 1.737801+0 8.046376-4 1.949845+0 6.660914-4 2.213095+0 5.453342-4 2.511886+0 4.499157-4 2.884032+0 3.676610-4 3.349654+0 2.978426-4 3.890451+0 2.431261-4 4.570882+0 1.968538-4 5.432503+0 1.581819-4 6.606934+0 1.244093-4 8.128305+0 9.720931-5 1.011579+1 7.550501-5 1.303167+1 5.677924-5 1.717908+1 4.191955-5 2.426610+1 2.893588-5 3.589219+1 1.916938-5 6.237348+1 1.083435-5 1.244515+2 5.362991-6 2.483133+2 2.671222-6 9.885531+2 6.677722-7 1.000000+5 6.590500-9 1 25000 7 0 5.493800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 7.664700-4 6.084000-5 1.000000+5 6.084000-5 1 25000 7 7 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 7.664700-4 2.077000-6 1.000000+5 2.077000-6 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 7.664700-4 7.035530-4 1.000000+5 1.000000+5 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 6.629700-4 2.213200+5 6.632000-4 2.291600+5 6.636000-4 2.450000+5 6.639500-4 2.579600+5 6.643000-4 2.702300+5 6.647000-4 2.834500+5 6.653000-4 3.019700+5 6.658500-4 3.174900+5 6.665000-4 3.342900+5 6.672000-4 3.508100+5 6.680000-4 3.677800+5 6.687000-4 3.810100+5 6.695300-4 3.949800+5 6.705000-4 4.091800+5 6.715000-4 4.217000+5 6.725000-4 4.322500+5 6.737500-4 4.430100+5 6.750000-4 4.513300+5 6.765000-4 4.585800+5 6.780000-4 4.633600+5 6.800000-4 4.667200+5 6.822000-4 4.675200+5 6.850000-4 4.655200+5 7.673615-4 3.558100+5 7.943282-4 3.271300+5 8.413951-4 2.851800+5 9.500000-4 2.118400+5 1.047129-3 1.656600+5 1.135011-3 1.343400+5 1.333521-3 8.723800+4 1.462177-3 6.772400+4 1.698244-3 4.449300+4 1.905461-3 3.197600+4 2.187762-3 2.137300+4 2.511886-3 1.416800+4 2.851018-3 9.658500+3 3.311311-3 6.092300+3 3.845918-3 3.810100+3 4.466836-3 2.364100+3 5.128614-3 1.511700+3 6.000000-3 9.028800+2 7.000000-3 5.401700+2 8.222426-3 3.135200+2 9.549926-3 1.877400+2 1.122018-2 1.073100+2 1.318257-2 6.089600+1 1.566751-2 3.294600+1 1.883649-2 1.698000+1 2.290868-2 8.333400+0 2.851018-2 3.732400+0 3.630781-2 1.524000+0 7.762471-2 8.922650-2 9.885531-2 3.636282-2 1.188502-1 1.847422-2 1.412538-1 9.863773-3 1.640590-1 5.764808-3 1.883649-1 3.537866-3 2.113489-1 2.370924-3 2.398833-1 1.538298-3 2.691535-1 1.045609-3 3.019952-1 7.158388-4 3.349654-1 5.124183-4 3.715352-1 3.692768-4 4.120975-1 2.680179-4 4.570882-1 1.960227-4 5.011872-1 1.494557-4 5.495409-1 1.147348-4 6.025596-1 8.870444-5 6.531306-1 7.125650-5 7.161434-1 5.589678-5 7.852356-1 4.415748-5 8.709636-1 3.396466-5 9.225714-1 2.951692-5 9.772372-1 2.581636-5 1.035142+0 2.275420-5 1.109175+0 1.970041-5 1.174898+0 1.758682-5 1.273503+0 1.512995-5 1.396368+0 1.283943-5 1.698244+0 9.174193-6 1.905461+0 7.577905-6 2.137962+0 6.306141-6 2.426610+0 5.192204-6 2.754229+0 4.305829-6 3.162278+0 3.536019-6 3.672823+0 2.878207-6 4.315191+0 2.324260-6 5.128614+0 1.863100-6 6.237348+0 1.462026-6 7.673615+0 1.140012-6 9.440609+0 8.954291-7 1.230269+1 6.634224-7 1.621810+1 4.890997-7 2.200000+1 3.520200-7 3.235937+1 2.340809-7 4.897788+1 1.522653-7 8.317638+1 8.849183-8 1.659587+2 4.393565-8 3.311311+2 2.191622-8 1.318257+3 5.485408-9 1.000000+5 7.22230-11 1 25000 7 0 5.493800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 6.629700-4 4.150500-5 1.000000+5 4.150500-5 1 25000 7 7 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 6.629700-4 2.166200-6 1.000000+5 2.166200-6 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 6.629700-4 6.192988-4 1.000000+5 1.000000+5 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 6.522200-4 4.578240+5 6.523800-4 4.685800+5 6.527000-4 4.948720+5 6.530000-4 5.181800+5 6.533000-4 5.405480+5 6.538000-4 5.754000+5 6.543000-4 6.075880+5 6.547000-4 6.317640+5 6.552000-4 6.600920+5 6.558000-4 6.913560+5 6.563000-4 7.154080+5 6.571000-4 7.504880+5 6.579000-4 7.817280+5 6.587000-4 8.094120+5 6.595000-4 8.338440+5 6.605000-4 8.602280+5 6.615000-4 8.824520+5 6.625000-4 9.009760+5 6.638000-4 9.201600+5 6.653000-4 9.363760+5 6.670000-4 9.484320+5 6.690100-4 9.558820+5 6.715000-4 9.576720+5 6.750000-4 9.514400+5 8.317638-4 5.750886+5 9.332543-4 4.329230+5 1.030000-3 3.369872+5 1.122018-3 2.694797+5 1.318257-3 1.744813+5 1.450000-3 1.341412+5 1.701200-3 8.538301+4 1.905461-3 6.153879+4 2.213095-3 3.963261+4 2.570396-3 2.529021+4 2.951209-3 1.657365+4 3.349654-3 1.117987+4 3.890451-3 6.965731+3 4.518559-3 4.305234+3 5.308844-3 2.542277+3 6.300000-3 1.439628+3 7.328245-3 8.644230+2 8.511380-3 5.181349+2 9.885531-3 3.084111+2 1.150000-2 1.813372+2 1.350000-2 1.025472+2 1.603245-2 5.521638+1 1.905461-2 2.943614+1 2.290868-2 1.494187+1 2.786121-2 7.213375+0 3.467369-2 3.171389+0 4.623810-2 1.065795+0 8.511380-2 1.039561-1 1.096478-1 3.984401-2 1.303167-1 2.085819-2 1.513561-1 1.198525-2 1.737801-1 7.235242-3 1.972423-1 4.588277-3 2.213400-1 3.052298-3 2.454709-1 2.129684-3 2.722701-1 1.495546-3 3.000000-1 1.081799-3 3.311311-1 7.841356-4 3.630781-1 5.851301-4 3.981072-1 4.399795-4 4.315191-1 3.451767-4 4.677351-1 2.725215-4 5.069907-1 2.165683-4 5.495409-1 1.732846-4 5.956621-1 1.395674-4 6.456542-1 1.131472-4 6.998420-1 9.228743-5 7.585776-1 7.577920-5 8.222427-1 6.265567-5 8.912509-1 5.214147-5 9.549926-1 4.482776-5 1.023293+0 3.881143-5 1.130300+0 3.176099-5 1.230269+0 2.698638-5 1.364583+0 2.228574-5 1.531087+0 1.816969-5 1.717908+0 1.491853-5 1.927525+0 1.233897-5 2.162719+0 1.027767-5 2.454709+0 8.468053-6 2.818383+0 6.910471-6 3.273407+0 5.591112-6 3.801894+0 4.558840-6 4.466836+0 3.687413-6 5.308844+0 2.960190-6 6.456542+0 2.326071-6 7.943282+0 1.816031-6 9.772372+0 1.428155-6 1.258925+1 1.072868-6 1.659587+1 7.914115-7 2.290868+1 5.593731-7 3.349654+1 3.746201-7 5.248075+1 2.352777-7 9.332543+1 1.305883-7 1.862087+2 6.490197-8 3.715352+2 3.239012-8 2.951209+3 4.062624-9 1.000000+5 1.19840-10 1 25000 7 0 5.493800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 6.522200-4 4.132600-5 1.000000+5 4.132600-5 1 25000 7 7 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 6.522200-4 1.855500-6 1.000000+5 1.855500-6 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 6.522200-4 6.090385-4 1.000000+5 1.000000+5 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 9.258000-5 3.762780+5 9.500000-5 3.645680+5 9.772372-5 3.549225+5 1.011579-4 3.464059+5 1.047129-4 3.403248+5 1.100000-4 3.343800+5 1.273503-4 3.216855+5 1.350000-4 3.146780+5 1.430000-4 3.055060+5 1.513561-4 2.943619+5 1.603245-4 2.814238+5 1.720000-4 2.644160+5 1.900000-4 2.400000+5 2.113489-4 2.147727+5 2.317395-4 1.937152+5 2.511886-4 1.757800+5 2.786121-4 1.538704+5 3.162278-4 1.296971+5 3.548134-4 1.102785+5 3.935501-4 9.464694+4 4.518559-4 7.655745+4 5.128614-4 6.263416+4 5.888437-4 4.989430+4 6.839116-4 3.870686+4 7.852356-4 3.038945+4 9.120108-4 2.322272+4 1.059254-3 1.761358+4 1.230269-3 1.327025+4 1.445440-3 9.711394+3 1.717908-3 6.894019+3 2.041738-3 4.854743+3 2.400000-3 3.470080+3 2.818383-3 2.467524+3 3.311311-3 1.739111+3 3.845918-3 1.247770+3 4.466836-3 8.887030+2 5.188000-3 6.283064+2 6.025596-3 4.409835+2 7.000000-3 3.071657+2 8.222426-3 2.067034+2 9.660509-3 1.379224+2 1.135011-2 9.131525+1 1.333521-2 5.999616+1 1.566751-2 3.912139+1 1.840772-2 2.532092+1 2.187762-2 1.576312+1 2.600160-2 9.736997+0 3.090295-2 5.969763+0 3.715352-2 3.514263+0 4.518559-2 1.985476+0 5.432503-2 1.151968+0 6.839116-2 5.785332-1 9.015711-2 2.510073-1 1.659587-1 3.902255-2 2.137962-1 1.814685-2 2.511886-1 1.121464-2 2.917427-1 7.225439-3 3.311311-1 5.014278-3 3.715352-1 3.620942-3 4.168694-1 2.633998-3 4.623810-1 1.992027-3 5.128614-1 1.517677-3 5.623413-1 1.199803-3 6.165950-1 9.548453-4 6.760830-1 7.652803-4 7.413102-1 6.176784-4 8.128305-1 5.020523-4 8.912509-1 4.108854-4 9.660509-1 3.471110-4 1.096478+0 2.691827-4 1.202264+0 2.249577-4 1.333521+0 1.851683-4 1.479108+0 1.535425-4 1.640590+0 1.282293-4 1.840772+0 1.057632-4 2.065380+0 8.785499-5 2.344229+0 7.218476-5 2.660725+0 5.974889-5 3.054921+0 4.897962-5 3.548134+0 3.979746-5 4.168694+0 3.208481-5 4.954502+0 2.567957-5 6.000000+0 2.022900-5 7.328245+0 1.588636-5 9.120108+0 1.229351-5 1.188502+1 9.098558-6 1.566751+1 6.701238-6 2.113489+1 4.848324-6 3.090295+1 3.241483-6 4.623810+1 2.131916-6 7.762471+1 1.252806-6 1.548817+2 6.216210-7 3.090295+2 3.099745-7 1.230269+3 7.756263-8 1.000000+5 9.52950-10 1 25000 7 0 5.493800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 9.258000-5 3.267900-5 1.000000+5 3.267900-5 1 25000 7 7 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 9.258000-5 1.254200-9 1.000000+5 1.254200-9 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 9.258000-5 5.989975-5 1.000000+5 1.000000+5 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 6.209000-5 4.545480+5 6.280000-5 4.432520+5 6.350000-5 4.296060+5 6.420000-5 4.144620+5 6.531306-5 3.889793+5 6.683439-5 3.539643+5 7.000000-5 2.909060+5 7.150000-5 2.675420+5 7.270000-5 2.520660+5 7.350000-5 2.432740+5 7.470000-5 2.322400+5 7.585776-5 2.238458+5 7.690000-5 2.179940+5 7.800000-5 2.133860+5 7.900000-5 2.104260+5 8.040000-5 2.080040+5 8.150000-5 2.073060+5 8.300000-5 2.077660+5 8.450000-5 2.095520+5 8.650000-5 2.135040+5 8.912509-5 2.205875+5 9.300000-5 2.332540+5 1.011579-4 2.619598+5 1.060000-4 2.778640+5 1.109175-4 2.922567+5 1.150000-4 3.025960+5 1.202264-4 3.135917+5 1.244515-4 3.206636+5 1.300000-4 3.275680+5 1.350000-4 3.316000+5 1.412538-4 3.340076+5 1.480000-4 3.338580+5 1.548817-4 3.314620+5 1.621810-4 3.271349+5 1.720000-4 3.192900+5 1.820000-4 3.097020+5 1.927525-4 2.983437+5 2.041738-4 2.856006+5 2.162719-4 2.717103+5 2.300000-4 2.558320+5 2.454709-4 2.383122+5 2.650000-4 2.175280+5 2.851018-4 1.980245+5 3.100000-4 1.765122+5 3.350000-4 1.575408+5 3.630781-4 1.389151+5 3.981072-4 1.192980+5 4.365158-4 1.016745+5 4.786301-4 8.602407+4 5.248075-4 7.219755+4 5.800000-4 5.923240+4 6.382635-4 4.867790+4 7.000000-4 4.000520+4 7.762471-4 3.189135+4 8.609938-4 2.523853+4 9.700000-4 1.911348+4 1.083927-3 1.464512+4 1.230269-3 1.071598+4 1.380384-3 8.008660+3 1.550000-3 5.932720+3 1.757924-3 4.251652+3 2.000000-3 2.998220+3 2.264644-3 2.125798+3 2.570396-3 1.486077+3 2.917427-3 1.031050+3 3.311311-3 7.099896+2 3.758374-3 4.853413+2 4.265795-3 3.294076+2 4.841724-3 2.220265+2 5.559043-3 1.432772+2 6.382635-3 9.178467+1 7.328245-3 5.839371+1 8.511380-3 3.551160+1 9.885531-3 2.144259+1 1.148154-2 1.285472+1 1.348963-2 7.352040+0 1.584893-2 4.173263+0 1.883649-2 2.257487+0 2.264644-2 1.163335+0 2.754229-2 5.707820-1 3.467369-2 2.449904-1 4.365158-2 1.044297-1 7.943282-2 1.125209-2 1.000000-1 4.800417-3 1.202264-1 2.444414-3 1.412538-1 1.363362-3 1.640590-1 7.982409-4 1.883649-1 4.904469-4 2.137962-1 3.159666-4 2.426610-1 2.050608-4 2.722701-1 1.394083-4 3.054921-1 9.548380-5 3.388442-1 6.838855-5 3.758374-1 4.932624-5 4.120975-1 3.712677-5 4.570882-1 2.717269-5 5.069907-1 2.004665-5 5.559043-1 1.540279-5 6.095369-1 1.191652-5 6.683439-1 9.287760-6 7.328245-1 7.291050-6 8.609938-1 4.834304-6 9.120108-1 4.198230-6 9.660509-1 3.668694-6 1.023293+0 3.230194-6 1.096478+0 2.793917-6 1.161449+0 2.491178-6 1.250000+0 2.168800-6 1.364583+0 1.851553-6 1.659587+0 1.320844-6 1.862087+0 1.089570-6 2.089296+0 9.053895-7 2.371374+0 7.444340-7 2.691535+0 6.165679-7 3.090295+0 5.057309-7 3.589219+0 4.111709-7 4.216965+0 3.316772-7 5.011872+0 2.656018-7 6.025596+0 2.111840-7 7.328245+0 1.667131-7 9.120108+0 1.290206-7 1.188502+1 9.548402-8 1.566751+1 7.032661-8 2.113489+1 5.088064-8 3.090295+1 3.401820-8 4.623810+1 2.237274-8 7.762471+1 1.314778-8 1.548817+2 6.523582-9 3.090295+2 3.253016-9 1.230269+3 8.13976-10 1.000000+5 1.00010-11 1 25000 7 0 5.493800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 6.209000-5 2.310600-5 1.000000+5 2.310600-5 1 25000 7 7 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.209000-5 1.234200-9 1.000000+5 1.234200-9 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.209000-5 3.898277-5 1.000000+5 1.000000+5 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 6.078000-5 9.411000+5 6.160000-5 9.104680+5 6.240000-5 8.754760+5 6.350000-5 8.229320+5 6.500000-5 7.504080+5 6.800000-5 6.231880+5 6.950000-5 5.729160+5 7.079458-5 5.372310+5 7.190000-5 5.122120+5 7.300000-5 4.919480+5 7.413102-5 4.755151+5 7.500000-5 4.656440+5 7.620000-5 4.555120+5 7.730000-5 4.493600+5 7.852356-5 4.455745+5 8.000000-5 4.446080+5 8.150000-5 4.468880+5 8.317638-5 4.524683+5 8.511380-5 4.618663+5 8.810489-5 4.804364+5 9.900000-5 5.598000+5 1.040000-4 5.934760+5 1.083927-4 6.196501+5 1.135011-4 6.454849+5 1.174898-4 6.620844+5 1.220000-4 6.770800+5 1.273503-4 6.898549+5 1.330000-4 6.978960+5 1.380384-4 7.009015+5 1.445440-4 6.998907+5 1.513561-4 6.940991+5 1.584893-4 6.841666+5 1.678804-4 6.670644+5 1.778279-4 6.459409+5 1.883649-4 6.215356+5 2.000000-4 5.932640+5 2.120000-4 5.633960+5 2.264644-4 5.274962+5 2.426610-4 4.885259+5 2.600160-4 4.491754+5 2.818383-4 4.043406+5 3.054921-4 3.614037+5 3.311311-4 3.206223+5 3.589219-4 2.823252+5 3.935501-4 2.420248+5 4.315191-4 2.059855+5 4.731513-4 1.740166+5 5.150000-4 1.479872+5 5.688529-4 1.214406+5 6.309573-4 9.807435+4 6.918310-4 8.056056+4 7.762471-4 6.247108+4 8.709636-4 4.803354+4 9.850000-4 3.592928+4 1.110000-3 2.687900+4 1.258925-3 1.962385+4 1.412538-3 1.461270+4 1.584893-3 1.080880+4 1.798871-3 7.700524+3 2.018366-3 5.620841+3 2.290868-3 3.946435+3 2.600160-3 2.749858+3 2.951209-3 1.901653+3 3.349654-3 1.305093+3 3.801894-3 8.890933+2 4.315191-3 6.013255+2 4.897788-3 4.038521+2 5.623413-3 2.595673+2 6.456542-3 1.655853+2 7.413102-3 1.048862+2 8.609938-3 6.347707+1 1.000000-2 3.813124+1 1.161449-2 2.273671+1 1.348963-2 1.346063+1 1.566751-2 7.913789+0 1.840772-2 4.433549+0 2.213095-2 2.268547+0 2.630268-2 1.200783+0 3.235937-2 5.551171-1 4.120975-2 2.237172-1 5.754399-2 6.316069-2 8.912509-2 1.197755-2 1.135011-1 4.812095-3 1.348963-1 2.526235-3 1.566751-1 1.455249-3 1.798871-1 8.809065-4 2.041738-1 5.601830-4 2.290868-1 3.738337-4 2.540973-1 2.615456-4 2.818383-1 1.843192-4 3.090295-1 1.359511-4 3.388442-1 1.009579-4 3.715352-1 7.550843-5 4.073803-1 5.689885-5 4.415705-1 4.470528-5 4.786301-1 3.534809-5 5.188000-1 2.813864-5 5.623413-1 2.255455-5 6.095369-1 1.820109-5 6.606935-1 1.478773-5 7.161434-1 1.209599-5 7.762471-1 9.961325-6 8.511380-1 8.036622-6 9.120108-1 6.883310-6 9.772372-1 5.932805-6 1.083927+0 4.798275-6 1.161449+0 4.185960-6 1.273503+0 3.515800-6 1.412538+0 2.910809-6 1.603245+0 2.331708-6 1.798871+0 1.920204-6 2.018366+0 1.592575-6 2.290868+0 1.306568-6 2.600160+0 1.080095-6 2.985383+0 8.843794-7 3.467369+0 7.177295-7 4.027170+0 5.868379-7 4.731513+0 4.758859-7 5.688529+0 3.775094-7 7.000000+0 2.932400-7 8.709636+0 2.266124-7 1.109175+1 1.718686-7 1.462177+1 1.263163-7 2.000000+1 8.989200-8 2.884032+1 6.091265-8 4.315191+1 4.001082-8 7.498942+1 2.267947-8 1.479108+2 1.138112-8 2.951209+2 5.673952-9 1.174898+3 1.419424-9 1.000000+5 1.66540-11 1 25000 7 0 5.493800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 6.078000-5 2.300600-5 1.000000+5 2.300600-5 1 25000 7 7 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 6.078000-5 1.196600-9 1.000000+5 1.196600-9 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 6.078000-5 3.777280-5 1.000000+5 1.000000+5 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.185000-5 1.164024+6 1.220000-5 1.172854+6 1.260000-5 1.190270+6 1.303167-5 1.216747+6 1.348963-5 1.251968+6 1.412538-5 1.309836+6 1.480000-5 1.380082+6 1.584893-5 1.501577+6 2.000000-5 2.032020+6 2.187762-5 2.268814+6 2.371374-5 2.486972+6 2.540973-5 2.672057+6 2.691535-5 2.819727+6 2.851018-5 2.957943+6 3.019952-5 3.083064+6 3.162278-5 3.169430+6 3.311311-5 3.240524+6 3.500000-5 3.304320+6 3.672823-5 3.339195+6 3.850000-5 3.353420+6 4.027170-5 3.348064+6 4.220000-5 3.323240+6 4.466836-5 3.269491+6 4.731513-5 3.192478+6 5.011872-5 3.095711+6 5.370318-5 2.959714+6 5.754399-5 2.809526+6 6.200000-5 2.635755+6 6.683439-5 2.453723+6 7.161434-5 2.281820+6 7.673615-5 2.106395+6 8.128305-5 1.958902+6 8.609938-5 1.810540+6 9.120108-5 1.663072+6 9.660509-5 1.518432+6 1.035142-4 1.350677+6 1.109175-4 1.192908+6 1.202264-4 1.023530+6 1.303167-4 8.722345+5 1.428894-4 7.204855+5 1.548817-4 6.048323+5 1.659587-4 5.175728+5 1.800000-4 4.276160+5 1.950000-4 3.517120+5 2.113489-4 2.872810+5 2.344229-4 2.197126+5 2.580000-4 1.701614+5 2.851018-4 1.292542+5 3.162278-4 9.635631+4 3.507519-4 7.133976+4 3.935501-4 5.070206+4 4.365158-4 3.700622+4 4.897788-4 2.587060+4 5.495409-4 1.795628+4 6.165950-4 1.237375+4 6.918310-4 8.466340+3 7.762471-4 5.754021+3 8.709636-4 3.883506+3 9.885531-4 2.502025+3 1.122018-3 1.600084+3 1.273503-3 1.015717+3 1.445440-3 6.400738+2 1.640590-3 4.005411+2 1.862087-3 2.488285+2 2.113489-3 1.534046+2 2.398833-3 9.383987+1 2.722701-3 5.695773+1 3.054921-3 3.592822+1 3.467369-3 2.147363+1 3.935501-3 1.274173+1 4.518559-3 7.152336+0 5.308844-3 3.616423+0 6.165950-3 1.907621+0 7.673615-3 7.431895-1 9.120108-3 3.504674-1 1.047129-2 1.908546-1 1.244515-2 8.851441-2 1.496236-2 3.868071-2 1.819701-2 1.590897-2 2.290868-2 5.547208-3 5.128614-2 1.355784-4 6.839116-2 3.628652-5 8.222426-2 1.571637-5 9.660509-2 7.610660-6 1.122019-1 3.908114-6 1.288250-1 2.128269-6 1.462177-1 1.228414-6 1.640590-1 7.508786-7 1.840772-1 4.623136-7 2.065380-1 2.867239-7 2.290868-1 1.877187-7 2.540973-1 1.238218-7 2.786121-1 8.614552-8 3.054921-1 6.035969-8 3.349654-1 4.260136-8 3.672823-1 3.027596-8 4.120975-1 1.992397-8 4.466836-1 1.494048-8 4.841724-1 1.127886-8 5.128614-1 9.276353-9 5.559043-1 7.109774-9 6.165950-1 5.096056-9 6.760830-1 3.813688-9 7.328245-1 2.978652-9 8.511380-1 1.904129-9 8.912509-1 1.666892-9 9.332543-1 1.467914-9 9.772372-1 1.302053-9 1.011579+0 1.196722-9 1.059254+0 1.076760-9 1.109175+0 9.75375-10 1.161449+0 8.89288-10 1.230269+0 7.98356-10 1.333521+0 6.92567-10 1.531087+0 5.49752-10 1.798871+0 4.18201-10 2.000000+0 3.51540-10 2.264644+0 2.89314-10 2.570396+0 2.39008-10 2.951209+0 1.95566-10 3.427678+0 1.58620-10 4.000000+0 1.28810-10 4.731513+0 1.03524-10 5.688529+0 8.21235-11 7.000000+0 6.37920-11 8.709636+0 4.92977-11 1.122018+1 3.69045-11 1.479108+1 2.71338-11 2.018366+1 1.93642-11 2.884032+1 1.32506-11 4.315191+1 8.70399-12 7.498942+1 4.93369-12 1.479108+2 2.47583-12 2.951209+2 1.23428-12 1.174898+3 3.08793-13 1.000000+5 3.62290-15 1 25000 7 0 5.493800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.185000-5 1.185000-5 1.000000+5 1.185000-5 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.185000-5 0.0 1.000000+5 1.000000+5 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.172000-5 1.764669+6 1.216186-5 1.785510+6 1.258925-5 1.819047+6 1.303167-5 1.865204+6 1.350000-5 1.924254+6 1.420000-5 2.027397+6 1.513561-5 2.184357+6 1.678804-5 2.492039+6 1.950000-5 3.022530+6 2.150000-5 3.404430+6 2.331800-5 3.731601+6 2.511886-5 4.029238+6 2.691535-5 4.294206+6 2.851018-5 4.497991+6 3.019952-5 4.679098+6 3.198895-5 4.832008+6 3.350000-5 4.929600+6 3.507519-5 5.000623+6 3.682900-5 5.046025+6 3.890451-5 5.058203+6 4.073803-5 5.038220+6 4.300000-5 4.980900+6 4.518559-5 4.897465+6 4.800000-5 4.762440+6 5.128614-5 4.582501+6 5.495409-5 4.366225+6 5.900000-5 4.124340+6 6.334000-5 3.870709+6 6.839116-5 3.586127+6 7.328245-5 3.325363+6 7.800000-5 3.085470+6 8.317638-5 2.837014+6 8.810489-5 2.614632+6 9.332543-5 2.394280+6 9.900000-5 2.174580+6 1.060000-4 1.930593+6 1.148154-4 1.666111+6 1.244515-4 1.424241+6 1.350000-4 1.207794+6 1.480000-4 9.941610+5 1.603245-4 8.325326+5 1.720000-4 7.080390+5 1.883649-4 5.692262+5 2.089296-4 4.393364+5 2.317395-4 3.361397+5 2.580000-4 2.524524+5 2.851018-4 1.916646+5 3.162278-4 1.428149+5 3.548134-4 1.021589+5 3.981072-4 7.250582+4 4.415704-4 5.284334+4 4.954502-4 3.689279+4 5.559043-4 2.557337+4 6.237348-4 1.759878+4 7.000000-4 1.201614+4 7.852356-4 8.161659+3 8.810489-4 5.500494+3 1.000000-3 3.538410+3 1.135011-3 2.259416+3 1.288250-3 1.432101+3 1.462177-3 9.010950+2 1.659587-3 5.629976+2 1.883649-3 3.491582+2 2.113489-3 2.246330+2 2.398833-3 1.372407+2 2.722701-3 8.318944+1 3.054921-3 5.240752+1 3.467369-3 3.127674+1 3.935501-3 1.853015+1 4.466836-3 1.090102+1 5.128614-3 6.057791+0 6.606934-3 2.037997+0 7.852356-3 9.641807-1 9.225714-3 4.762296-1 1.047129-2 2.720556-1 1.230269-2 1.323855-1 1.462177-2 6.073460-2 1.737801-2 2.764159-2 2.137962-2 1.066113-2 2.786121-2 3.127919-3 5.370318-2 1.480637-4 7.161434-2 3.911106-5 8.511380-2 1.771775-5 9.885531-2 8.981304-6 1.135011-1 4.828830-6 1.288250-1 2.753650-6 1.445440-1 1.664022-6 1.621810-1 1.012753-6 1.798871-1 6.524486-7 1.972423-1 4.443006-7 2.162719-1 3.047102-7 2.371374-1 2.105282-7 2.570396-1 1.533143-7 2.786121-1 1.123538-7 3.019952-1 8.288064-8 3.273407-1 6.156198-8 3.548134-1 4.605411-8 3.845918-1 3.470779-8 4.120975-1 2.740512-8 4.466836-1 2.095734-8 4.841724-1 1.614943-8 5.248075-1 1.253777-8 5.688529-1 9.808913-9 6.095369-1 7.999086-9 6.531306-1 6.563480-9 6.998420-1 5.418430-9 7.762471-1 4.104491-9 8.317638-1 3.432767-9 8.810489-1 2.975070-9 9.332543-1 2.594092-9 9.885531-1 2.277306-9 1.059254+0 1.965063-9 1.135011+0 1.707459-9 1.216186+0 1.495857-9 1.333521+0 1.263659-9 1.479108+0 1.053141-9 1.698244+0 8.30618-10 1.905461+0 6.86207-10 2.137962+0 5.71092-10 2.426610+0 4.70216-10 2.754229+0 3.89937-10 3.162278+0 3.20218-10 3.672823+0 2.60649-10 4.315191+0 2.10485-10 5.128614+0 1.68724-10 6.237348+0 1.32401-10 7.585776+0 1.04651-10 9.440609+0 8.10897-11 1.230269+1 6.00792-11 1.621810+1 4.42928-11 2.213095+1 3.16773-11 3.235937+1 2.11989-11 4.841724+1 1.39538-11 8.222427+1 8.10834-12 1.640590+2 4.02531-12 3.273407+2 2.00784-12 1.303167+3 5.02511-13 1.000000+5 6.54040-15 1 25000 7 0 5.493800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.172000-5 1.172000-5 1.000000+5 1.172000-5 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.172000-5 0.0 1.000000+5 1.000000+5 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 7.250000-6 1.477103+6 7.500000-6 1.164594+6 7.700000-6 9.631700+5 7.900000-6 7.946180+5 8.100000-6 6.536940+5 8.270000-6 5.523920+5 8.420000-6 4.748560+5 8.600000-6 3.947540+5 8.770000-6 3.302440+5 8.920000-6 2.810520+5 9.050000-6 2.435720+5 9.200000-6 2.055980+5 9.332543-6 1.762449+5 9.460000-6 1.513174+5 9.550000-6 1.354858+5 9.660509-6 1.178732+5 9.772372-6 1.019192+5 9.890000-6 8.699820+4 1.000000-5 7.460460+4 1.010000-5 6.453440+4 1.020000-5 5.550920+4 1.027000-5 4.976860+4 1.035142-5 4.364785+4 1.042000-5 3.892960+4 1.050000-5 3.389920+4 1.057000-5 2.989140+4 1.065000-5 2.573300+4 1.071519-5 2.265756+4 1.077000-5 2.027780+4 1.083927-5 1.752492+4 1.090000-5 1.533406+4 1.096478-5 1.321341+4 1.102000-5 1.157384+4 1.107000-5 1.021584+4 1.112000-5 8.973480+3 1.117000-5 7.841440+3 1.122018-5 6.811884+3 1.127000-5 5.890920+3 1.133000-5 4.909080+3 1.138000-5 4.192680+3 1.144000-5 3.449040+3 1.157000-5 2.243180+3 1.161449-5 1.949392+3 1.165000-5 1.755702+3 1.168000-5 1.619434+3 1.170000-5 1.542148+3 1.172000-5 1.475486+3 1.174000-5 1.419258+3 1.176000-5 1.373274+3 1.178000-5 1.337352+3 1.180000-5 1.311312+3 1.182000-5 1.294974+3 1.183500-5 1.288982+3 1.185500-5 1.289202+3 1.187000-5 1.295430+3 1.189200-5 1.313804+3 1.191000-5 1.336866+3 1.192700-5 1.365178+3 1.195000-5 1.413384+3 1.197700-5 1.484222+3 1.200000-5 1.556422+3 1.203000-5 1.666586+3 1.206000-5 1.794388+3 1.211000-5 2.045260+3 1.224000-5 2.904820+3 1.230269-5 3.418295+3 1.235000-5 3.845220+3 1.240000-5 4.331340+3 1.245000-5 4.851620+3 1.250000-5 5.404400+3 1.255800-5 6.084157+3 1.262000-5 6.853920+3 1.267000-5 7.505280+3 1.273503-5 8.390802+3 1.280000-5 9.315980+3 1.287000-5 1.035488+4 1.295000-5 1.159142+4 1.303167-5 1.290319+4 1.310000-5 1.403572+4 1.318257-5 1.544270+4 1.325000-5 1.662026+4 1.335000-5 1.840858+4 1.345000-5 2.024120+4 1.357000-5 2.248980+4 1.369300-5 2.484122+4 1.380384-5 2.699242+4 1.395000-5 2.986500+4 1.410000-5 3.284260+4 1.425000-5 3.583780+4 1.440000-5 3.883940+4 1.455000-5 4.183780+4 1.470000-5 4.482440+4 1.490000-5 4.877580+4 1.507000-5 5.209600+4 1.531087-5 5.672484+4 1.550000-5 6.028640+4 1.570000-5 6.397440+4 1.590000-5 6.757540+4 1.621810-5 7.311129+4 1.650000-5 7.781080+4 1.680000-5 8.259220+4 1.717908-5 8.830586+4 1.757924-5 9.394110+4 1.800000-5 9.943720+4 1.850000-5 1.054160+5 1.905461-5 1.113806+5 1.950000-5 1.156920+5 2.000000-5 1.200558+5 2.070000-5 1.253808+5 2.150000-5 1.304780+5 2.238721-5 1.350385+5 2.330000-5 1.387014+5 2.426610-5 1.416215+5 2.540973-5 1.440287+5 2.660725-5 1.455574+5 2.818383-5 1.463562+5 3.000000-5 1.460076+5 3.198895-5 1.445386+5 3.427678-5 1.418856+5 3.672823-5 1.382971+5 3.981072-5 1.331818+5 4.315191-5 1.272701+5 4.677351-5 1.207616+5 5.069907-5 1.137885+5 5.500000-5 1.064100+5 6.000000-5 9.832020+4 6.531306-5 9.037401+4 7.079458-5 8.287604+4 7.800000-5 7.412480+4 8.709636-5 6.471646+4 9.885531-5 5.487013+4 1.150000-4 4.466260+4 1.400000-4 3.386760+4 1.819701-4 2.317882+4 2.483133-4 1.472179+4 2.884032-4 1.175704+4 3.126079-4 1.036897+4 3.589219-4 8.296129+3 4.216965-4 6.346693+3 5.559043-4 3.965318+3 6.382635-4 3.117415+3 7.328245-4 2.433988+3 8.810489-4 1.734077+3 1.047129-3 1.255155+3 1.230269-3 9.211193+2 1.462177-3 6.560092+2 1.737801-3 4.638886+2 2.065380-3 3.256013+2 2.454709-3 2.268317+2 2.884032-3 1.607004+2 3.388442-3 1.130058+2 4.073803-3 7.498695+1 4.677351-3 5.468541+1 5.432503-3 3.855181+1 6.309573-3 2.697667+1 7.413102-3 1.822979+1 8.709636-3 1.222319+1 1.023293-2 8.131946+0 1.202264-2 5.368743+0 1.412538-2 3.517643+0 1.659587-2 2.287430+0 1.949845-2 1.476630+0 2.317395-2 9.167001-1 2.754229-2 5.647471-1 3.273407-2 3.453801-1 3.981072-2 1.962159-1 4.841724-2 1.106144-1 5.956621-2 5.978039-2 7.585776-2 2.891622-2 1.011580-1 1.208175-2 1.640590-1 2.760474-3 2.113489-1 1.283347-3 2.483133-1 7.927526-4 2.884032-1 5.104928-4 3.311311-1 3.426280-4 3.715352-1 2.474503-4 4.168694-1 1.800274-4 4.623810-1 1.361689-4 5.128614-1 1.037656-4 5.623413-1 8.205481-5 6.165950-1 6.532596-5 6.760830-1 5.238113-5 7.413102-1 4.230342-5 8.128305-1 3.441319-5 8.912509-1 2.819964-5 9.772372-1 2.328960-5 1.130300+0 1.742600-5 1.258925+0 1.416758-5 1.396368+0 1.169753-5 1.548817+0 9.728323-6 1.717908+0 8.148736-6 1.927525+0 6.741241-6 2.187762+0 5.515051-6 2.483133+0 4.547024-6 2.851018+0 3.713351-6 3.311311+0 3.006352-6 3.845918+0 2.452676-6 4.518559+0 1.984874-6 5.370318+0 1.594186-6 6.606934+0 1.235855-6 8.128305+0 9.657150-7 1.011579+1 7.500861-7 1.303167+1 5.640624-7 1.717908+1 4.164390-7 2.426610+1 2.874513-7 3.589219+1 1.904360-7 6.237348+1 1.076321-7 1.230269+2 5.390261-8 2.454709+2 2.684538-8 9.772372+2 6.710813-9 1.000000+5 6.54720-11 1 25000 7 0 5.493800+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 7.250000-6 7.250000-6 1.000000+5 7.250000-6 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 7.250000-6 0.0 1.000000+5 1.000000+5 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.762190-8 1.028750+0 2.762190-7 1.033200+0 1.246820-6 1.034000+0 1.530580-6 1.035300+0 2.077550-6 1.036640+0 2.762190-6 1.038200+0 3.727660-6 1.039700+0 4.842990-6 1.041500+0 6.443540-6 1.043800+0 8.943840-6 1.046400+0 1.244370-5 1.048300+0 1.549270-5 1.051200+0 2.101550-5 1.054080+0 2.762190-5 1.057700+0 3.765040-5 1.061100+0 4.897360-5 1.065100+0 6.483540-5 1.070400+0 9.045180-5 1.076200+0 1.250040-4 1.080600+0 1.561090-4 1.087100+0 2.103310-4 1.093710+0 2.762190-4 1.102600+0 3.829810-4 1.110700+0 4.994940-4 1.120600+0 6.681950-4 1.133300+0 9.291170-4 1.147500+0 1.282870-3 1.158200+0 1.594290-3 1.174100+0 2.130730-3 1.190110+0 2.762190-3 1.205100+0 3.437700-3 1.227500+0 4.600300-3 1.250000+0 5.947000-3 1.280300+0 8.025720-3 1.307700+0 1.014990-2 1.343000+0 1.320190-2 1.382200+0 1.697030-2 1.433800+0 2.248400-2 1.500000+0 3.043000-2 1.562500+0 3.883180-2 1.617200+0 4.687260-2 1.712900+0 6.234230-2 1.784700+0 7.498290-2 1.892300+0 9.524240-2 2.000000+0 1.166000-1 2.044000+0 1.255000-1 2.163500+0 1.500320-1 2.372600+0 1.936530-1 2.647100+0 2.509930-1 3.000000+0 3.235000-1 3.437500+0 4.107790-1 4.000000+0 5.173000-1 4.750000+0 6.477360-1 5.000000+0 6.887000-1 6.000000+0 8.414000-1 7.000000+0 9.771000-1 8.000000+0 1.099000+0 9.000000+0 1.210000+0 1.000000+1 1.310000+0 1.100000+1 1.401000+0 1.200000+1 1.484000+0 1.300000+1 1.561000+0 1.400000+1 1.633000+0 1.500000+1 1.699000+0 1.600000+1 1.762000+0 1.800000+1 1.877000+0 2.000000+1 1.980000+0 2.200000+1 2.072000+0 2.400000+1 2.157000+0 2.600000+1 2.234000+0 2.800000+1 2.305000+0 3.000000+1 2.371000+0 4.000000+1 2.638000+0 5.000000+1 2.839000+0 6.000000+1 2.995000+0 8.000000+1 3.228000+0 1.000000+2 3.395000+0 1.500000+2 3.664000+0 2.000000+2 3.827000+0 3.000000+2 4.018000+0 4.000000+2 4.129000+0 5.000000+2 4.202000+0 6.000000+2 4.254000+0 8.000000+2 4.324000+0 1.000000+3 4.370000+0 1.500000+3 4.436000+0 2.000000+3 4.472000+0 3.000000+3 4.511000+0 4.000000+3 4.532000+0 5.000000+3 4.545000+0 6.000000+3 4.554000+0 8.000000+3 4.566000+0 1.000000+4 4.574000+0 1.500000+4 4.584000+0 2.000000+4 4.590000+0 3.000000+4 4.596000+0 4.000000+4 4.599000+0 5.000000+4 4.601000+0 6.000000+4 4.602000+0 8.000000+4 4.604000+0 1.000000+5 4.605000+0 1 25000 7 8 5.493800+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 2.511200-7 2.114000+0 1.132050-6 2.119500+0 1.409400-6 2.127900+0 1.911410-6 2.136250+0 2.511200-6 2.147000+0 3.443030-6 2.156900+0 4.472080-6 2.169000+0 5.968280-6 2.184500+0 8.296100-6 2.201800+0 1.147790-5 2.214800+0 1.430060-5 2.234200+0 1.923680-5 2.253680+0 2.511200-5 2.281500+0 3.517380-5 2.307000+0 4.620070-5 2.338200+0 6.212080-5 2.377400+0 8.603000-5 2.410200+0 1.094160-4 2.446800+0 1.391830-4 2.485900+0 1.752390-4 2.532900+0 2.242680-4 2.556430+0 2.511200-4 2.611900+0 3.202050-4 2.660400+0 3.871100-4 2.745300+0 5.181200-4 2.809000+0 6.274710-4 2.904500+0 8.083220-4 3.000000+0 1.009000-3 3.125000+0 1.301090-3 3.234400+0 1.583170-3 3.425800+0 2.132060-3 3.569300+0 2.585460-3 3.784700+0 3.323920-3 4.000000+0 4.118000-3 4.250000+0 5.089150-3 4.625000+0 6.615840-3 5.000000+0 8.203000-3 5.500000+0 1.038110-2 6.000000+0 1.259000-2 6.750000+0 1.588450-2 7.000000+0 1.697000-2 8.000000+0 2.122000-2 9.000000+0 2.529000-2 1.000000+1 2.916000-2 1.100000+1 3.283000-2 1.200000+1 3.629000-2 1.300000+1 3.956000-2 1.400000+1 4.267000-2 1.500000+1 4.563000-2 1.600000+1 4.844000-2 1.800000+1 5.365000-2 2.000000+1 5.841000-2 2.200000+1 6.278000-2 2.400000+1 6.681000-2 2.600000+1 7.053000-2 2.800000+1 7.400000-2 3.000000+1 7.723000-2 4.000000+1 9.071000-2 5.000000+1 1.011000-1 6.000000+1 1.093000-1 8.000000+1 1.219000-1 1.000000+2 1.312000-1 1.500000+2 1.468000-1 2.000000+2 1.568000-1 3.000000+2 1.691000-1 4.000000+2 1.766000-1 5.000000+2 1.818000-1 6.000000+2 1.856000-1 8.000000+2 1.910000-1 1.000000+3 1.945000-1 1.500000+3 1.999000-1 2.000000+3 2.030000-1 3.000000+3 2.063000-1 4.000000+3 2.083000-1 5.000000+3 2.095000-1 6.000000+3 2.104000-1 8.000000+3 2.115000-1 1.000000+4 2.123000-1 1.500000+4 2.133000-1 2.000000+4 2.139000-1 3.000000+4 2.144000-1 4.000000+4 2.148000-1 5.000000+4 2.150000-1 6.000000+4 2.151000-1 8.000000+4 2.153000-1 1.000000+5 2.154000-1 1 25000 7 8 5.493800+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 25000 7 9 5.493800+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 2.500000+1 1.000000+5 2.500000+1 5.000000+5 2.498400+1 1.000000+6 2.496100+1 1.375000+6 2.493920+1 1.500000+6 2.492900+1 1.875000+6 2.489010+1 2.000000+6 2.487500+1 2.500000+6 2.480600+1 3.000000+6 2.472300+1 3.500000+6 2.462410+1 4.000000+6 2.451800+1 4.500000+6 2.440070+1 5.000000+6 2.427400+1 5.500000+6 2.413150+1 5.875000+6 2.401940+1 6.437500+6 2.384250+1 6.500000+6 2.382280+1 7.000000+6 2.366000+1 7.500000+6 2.349060+1 8.250000+6 2.322730+1 8.500000+6 2.313990+1 9.000000+6 2.296200+1 9.750000+6 2.268810+1 1.000000+7 2.259800+1 1.109400+7 2.219190+1 1.187500+7 2.189790+1 1.250000+7 2.166500+1 1.437500+7 2.096590+1 1.500000+7 2.073900+1 1.750000+7 1.985800+1 2.000000+7 1.900000+1 2.250000+7 1.816280+1 2.500000+7 1.734800+1 2.750000+7 1.655610+1 2.875000+7 1.616740+1 3.000000+7 1.578600+1 3.250000+7 1.503790+1 3.500000+7 1.432180+1 3.625000+7 1.397610+1 4.000000+7 1.299700+1 4.500000+7 1.182400+1 5.000000+7 1.080900+1 5.750000+7 9.560770+0 6.000000+7 9.210100+0 6.750000+7 8.338670+0 7.000000+7 8.098300+0 7.750000+7 7.500540+0 8.000000+7 7.333100+0 9.000000+7 6.778200+0 1.000000+8 6.331200+0 1.109400+8 5.895590+0 1.187500+8 5.598290+0 1.203100+8 5.539950+0 1.250000+8 5.364000+0 1.312500+8 5.130470+0 1.406300+8 4.786120+0 1.500000+8 4.452600+0 1.589800+8 4.145150+0 1.665000+8 3.897910+0 1.748800+8 3.634440+0 1.750000+8 3.630780+0 1.838500+8 3.366410+0 1.946200+8 3.064580+0 2.000000+8 2.922000+0 2.250000+8 2.357640+0 2.312500+8 2.249260+0 2.406300+8 2.112460+0 2.476600+8 2.029450+0 2.500000+8 2.005500+0 2.562500+8 1.949700+0 2.671900+8 1.870810+0 2.835900+8 1.767010+0 2.918000+8 1.712730+0 3.000000+8 1.653100+0 3.062500+8 1.603230+0 3.335900+8 1.391360+0 3.418000+8 1.341320+0 3.500000+8 1.300700+0 3.562500+8 1.276670+0 3.671900+8 1.244970+0 4.000000+8 1.180600+0 4.125000+8 1.153490+0 4.234400+8 1.127440+0 4.425800+8 1.079040+0 4.712900+8 1.006400+0 5.000000+8 9.404000-1 5.500000+8 8.439970-1 5.750000+8 7.989590-1 6.000000+8 7.535000-1 7.000000+8 5.903000-1 7.625000+8 5.240620-1 7.875000+8 4.982700-1 8.000000+8 4.847000-1 8.125000+8 4.705400-1 8.359400+8 4.429980-1 8.564500+8 4.186430-1 8.743900+8 3.975930-1 9.057900+8 3.621640-1 9.529000+8 3.142080-1 1.000000+9 2.736000-1 1.062500+9 2.304990-1 1.281300+9 1.368750-1 1.390600+9 1.083570-1 1.472700+9 9.148080-2 1.500000+9 8.654900-2 1.562500+9 7.631310-2 1.671900+9 6.153690-2 1.753900+9 5.261140-2 1.877000+9 4.193410-2 2.000000+9 3.378100-2 2.187500+9 2.478260-2 2.363300+9 1.890480-2 2.692900+9 1.188620-2 2.981300+9 8.237270-3 3.485900+9 4.655920-3 4.243000+9 2.253150-3 5.000000+9 1.223700-3 8.000000+9 2.128000-4 9.500000+9 1.127000-4 1.00000+10 9.331200-5 1.20500+10 4.724960-5 1.41820+10 2.625450-5 1.71170+10 1.342340-5 2.01490+10 7.551360-6 2.26440+10 5.019720-6 2.74790+10 2.566620-6 3.20120+10 1.519480-6 3.62610+10 9.937320-7 4.42280+10 5.079630-7 5.12000+10 3.110530-7 6.34000+10 1.529140-7 7.94120+10 7.288320-8 1.00000+11 3.436500-8 1.17140+11 2.059040-8 1.55940+11 8.212880-9 2.04410+11 3.470550-9 2.99030+11 1.047320-9 4.21500+11 3.59506-10 7.29680+11 6.64595-11 1.61310+12 6.02891-12 4.52640+12 2.81185-13 2.12750+13 3.05101-15 1.00000+14 3.38620-17 5.62340+14 2.13438-19 7.49890+15 9.80679-23 1.00000+17 4.26850-26 1 25000 7 0 5.493800+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 5.20000-12 1.000000+2 5.20000-10 1.000000+3 5.200000-8 1.000000+4 5.200000-6 1.000000+5 5.200000-4 5.000000+5 1.300000-2 1.000000+6 5.200000-2 1.375000+6 9.823390-2 1.500000+6 1.167000-1 1.875000+6 1.805820-1 2.000000+6 2.047000-1 2.500000+6 3.146000-1 3.000000+6 4.441000-1 3.500000+6 5.906170-1 4.000000+6 7.513000-1 4.500000+6 9.232920-1 5.000000+6 1.104000+0 5.500000+6 1.290890+0 5.875000+6 1.433800+0 6.437500+6 1.650090+0 6.500000+6 1.674200+0 7.000000+6 1.866300+0 7.500000+6 2.056190+0 8.250000+6 2.335360+0 8.500000+6 2.426400+0 9.000000+6 2.605500+0 9.750000+6 2.864890+0 1.000000+7 2.949000+0 1.109400+7 3.302240+0 1.187500+7 3.542370+0 1.250000+7 3.728300+0 1.437500+7 4.261880+0 1.500000+7 4.435000+0 1.750000+7 5.115500+0 2.000000+7 5.791000+0 2.250000+7 6.461640+0 2.500000+7 7.121600+0 2.750000+7 7.761890+0 2.875000+7 8.074010+0 3.000000+7 8.380000+0 3.250000+7 8.971380+0 3.500000+7 9.538330+0 3.625000+7 9.813270+0 4.000000+7 1.060400+1 4.500000+7 1.158460+1 5.000000+7 1.248600+1 5.750000+7 1.369570+1 6.000000+7 1.406200+1 6.750000+7 1.504930+1 7.000000+7 1.534600+1 7.750000+7 1.613860+1 8.000000+7 1.637600+1 9.000000+7 1.721100+1 1.000000+8 1.791000+1 1.109400+8 1.857040+1 1.187500+8 1.899570+1 1.203100+8 1.907580+1 1.250000+8 1.931200+1 1.312500+8 1.960950+1 1.406300+8 2.002710+1 1.500000+8 2.041100+1 1.589800+8 2.074650+1 1.665000+8 2.100540+1 1.748800+8 2.127130+1 1.750000+8 2.127490+1 1.838500+8 2.152930+1 1.946200+8 2.180870+1 2.000000+8 2.193800+1 2.250000+8 2.243530+1 2.312500+8 2.253820+1 2.406300+8 2.268110+1 2.476600+8 2.278050+1 2.500000+8 2.281200+1 2.562500+8 2.289010+1 2.671900+8 2.301800+1 2.835900+8 2.318740+1 2.918000+8 2.326320+1 3.000000+8 2.333700+1 3.062500+8 2.338690+1 3.335900+8 2.358980+1 3.418000+8 2.364450+1 3.500000+8 2.369800+1 3.562500+8 2.373510+1 3.671900+8 2.379870+1 4.000000+8 2.397600+1 4.125000+8 2.403470+1 4.234400+8 2.408470+1 4.425800+8 2.416940+1 4.712900+8 2.428020+1 5.000000+8 2.438000+1 5.500000+8 2.452260+1 5.750000+8 2.458240+1 6.000000+8 2.463600+1 7.000000+8 2.479000+1 7.625000+8 2.485050+1 7.875000+8 2.486960+1 8.000000+8 2.487900+1 8.125000+8 2.488590+1 8.359400+8 2.489840+1 8.564500+8 2.490910+1 8.743900+8 2.491830+1 9.057900+8 2.493070+1 9.529000+8 2.494520+1 1.000000+9 2.495900+1 1.062500+9 2.496940+1 1.281300+9 2.498990+1 1.390600+9 2.499360+1 1.472700+9 2.499540+1 1.500000+9 2.499600+1 1.562500+9 2.499660+1 1.671900+9 2.499750+1 1.753900+9 2.499820+1 1.877000+9 2.499910+1 2.000000+9 2.500000+1 2.187500+9 2.500000+1 2.363300+9 2.500000+1 2.692900+9 2.500000+1 2.981300+9 2.500000+1 3.485900+9 2.500000+1 4.243000+9 2.500000+1 5.000000+9 2.500000+1 8.000000+9 2.500000+1 9.500000+9 2.500000+1 1.00000+10 2.500000+1 1.20500+10 2.500000+1 1.41820+10 2.500000+1 1.71170+10 2.500000+1 2.01490+10 2.500000+1 2.26440+10 2.500000+1 2.74790+10 2.500000+1 3.20120+10 2.500000+1 3.62610+10 2.500000+1 4.42280+10 2.500000+1 5.12000+10 2.500000+1 6.34000+10 2.500000+1 7.94120+10 2.500000+1 1.00000+11 2.500000+1 1.17140+11 2.500000+1 1.55940+11 2.500000+1 2.04410+11 2.500000+1 2.99030+11 2.500000+1 4.21500+11 2.500000+1 7.29680+11 2.500000+1 1.61310+12 2.500000+1 4.52640+12 2.500000+1 2.12750+13 2.500000+1 1.00000+14 2.500000+1 5.62340+14 2.500000+1 7.49890+15 2.500000+1 1.00000+17 2.500000+1 1 25000 7 0 5.493800+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.033911-6 0.0 3.552470-6 0.0 3.567772-6 3.170174+0 3.569958-6 3.618436+0 3.578702-6 6.609368+0 3.586815-6 1.081622+1 3.596190-6 2.124602+1 3.606027-6 3.428836+1 3.615318-6 4.992476+1 3.639910-6 9.807647+1 3.649203-6 1.131153+2 3.658872-6 1.227362+2 3.668126-6 1.245273+2 3.676913-6 1.189022+2 3.685515-6 1.070239+2 3.697740-6 8.256141+1 3.710414-6 5.473896+1 3.719242-6 3.750356+1 3.728071-6 2.306788+1 3.736899-6 1.374681+1 3.745728-6 7.562231+0 3.758971-6 1.922350+0 3.763385-6 0.0 4.835530-6 0.0 4.847432-6 6.10171-15 4.859334-6 1.20736-14 4.871236-6 2.20534-14 4.883138-6 3.71851-14 4.895040-6 5.78783-14 4.906942-6 8.31604-14 4.918844-6 1.10299-13 4.930746-6 1.35045-13 4.942648-6 1.52631-13 4.954550-6 1.59242-13 4.966452-6 1.53366-13 4.978354-6 1.36349-13 4.990256-6 1.11900-13 5.014060-6 5.92856-14 5.025962-6 3.82727-14 5.037864-6 2.28078-14 5.049766-6 1.25468-14 5.061668-6 6.37138-15 5.073570-6 0.0 5.559920-6 0.0 5.568889-6 3.519933-2 5.587290-6 2.664999-1 5.596303-6 4.016435-1 5.600975-6 4.984828-1 5.610591-6 7.341485-1 5.614660-6 8.620326-1 5.624458-6 1.213403+0 5.642171-6 2.048066+0 5.669400-6 3.520427+0 5.683855-6 4.134252+0 5.696246-6 4.430861+0 5.709623-6 4.446762+0 5.723526-6 4.123018+0 5.739536-6 3.419188+0 5.765195-6 2.028699+0 5.774496-6 1.562626+0 5.788203-6 9.972336-1 5.792565-6 8.570866-1 5.801910-6 5.878997-1 5.806250-6 4.953771-1 5.815617-6 3.201544-1 5.833620-6 8.614215-2 5.843031-6 4.125832-5 5.847372-6 3.405477-5 5.861186-6 1.872248-5 5.875001-6 9.439813-6 5.888334-6 2.004044-7 5.888815-6 0.0 6.231490-6 0.0 6.235150-6 2.699270-3 6.262166-6 6.826750-2 6.265844-6 7.888244-2 6.277504-6 1.256328-1 6.281191-6 1.427256-1 6.296538-6 2.385302-1 6.311885-6 3.682050-1 6.354194-6 8.067384-1 6.373273-6 9.441465-1 6.388620-6 9.792685-1 6.405850-6 9.251205-1 6.421479-6 8.084135-1 6.465355-6 3.559507-1 6.480702-6 2.289043-1 6.492236-6 1.572374-1 6.496049-6 1.359210-1 6.507574-6 8.840595-2 6.511396-6 7.452130-2 6.529202-6 3.005623-2 6.537878-6 7.839017-3 6.538250-6 6.983460-3 6.539723-6 4.732534-3 6.542090-6 2.584957-3 6.571916-6 2.904446-2 6.588013-6 5.280755-2 6.604110-6 8.865867-2 6.620207-6 1.374452-1 6.666616-6 3.111825-1 6.684593-6 3.576271-1 6.700690-6 3.720790-1 6.716787-6 3.628930-1 6.736188-6 3.188729-1 6.770250-6 2.203941-1 6.781173-6 1.960364-1 6.797270-6 1.740552-1 6.813367-6 1.705635-1 6.841424-6 1.887834-1 6.853384-6 1.980627-1 6.861657-6 1.996575-1 6.870129-6 2.080828-1 6.886875-6 2.162565-1 6.911082-6 2.119307-1 6.969475-6 1.919195-1 7.102215-6 1.733207-1 7.160524-6 1.593533-1 7.234295-6 1.468261-1 7.413288-6 1.334738-1 7.823965-6 9.588197-2 7.936396-6 8.723450-2 7.975465-6 6.618895-1 7.994999-6 1.137842+0 8.015754-6 1.921841+0 8.034068-6 2.848623+0 8.044416-6 3.540413+0 8.096550-6 7.309741+0 8.119993-6 8.628514+0 8.140888-6 9.355153+0 8.157312-6 9.601721+0 8.181214-6 9.430875+0 8.204247-6 8.850215+0 8.237020-6 7.557108+0 8.276641-6 5.451681+0 8.327084-6 2.597390+0 8.335957-6 2.226573+0 8.355744-6 1.516005+0 8.375531-6 9.672532-1 8.395319-6 5.838985-1 8.411313-6 3.824235-1 8.431185-6 1.551567-1 8.434893-6 1.165144-1 8.470929-6 5.477114-2 8.792251-6 4.067062-2 9.100523-6 3.005429-2 9.391052-6 2.216880-2 9.666397-6 1.624673-2 9.918469-6 1.193230-2 9.967296-6 1.128782-1 9.991709-6 1.965674-1 1.001612-5 3.236575-1 1.004053-5 4.975858-1 1.006688-5 7.557420-1 1.011377-5 1.251322+0 1.013819-5 1.473243+0 1.016870-5 1.652750+0 1.019110-5 1.711799+0 1.022423-5 1.681575+0 1.025584-5 1.563150+0 1.029390-5 1.334355+0 1.040673-5 4.117465-1 1.042237-5 3.248551-1 1.044227-5 2.286490-1 1.046700-5 1.393645-1 1.049173-5 7.951706-2 1.050110-5 6.481489-2 1.052586-5 2.944347-2 1.054118-5 7.056666-3 1.055061-5 4.717475-3 1.058477-5 4.447935-3 1.059638-5 1.276011-2 1.063688-5 4.340737-2 1.066293-5 7.583196-2 1.068898-5 1.251860-1 1.071819-5 2.028309-1 1.080394-5 5.268247-1 1.082371-5 5.897899-1 1.085009-5 6.501413-1 1.087647-5 6.792855-1 1.090826-5 6.792993-1 1.094367-5 6.414909-1 1.103476-5 4.869262-1 1.106114-5 4.536470-1 1.111274-5 4.126653-1 1.120375-5 4.415426-1 1.130430-5 4.865328-1 1.138608-5 4.882702-1 1.154139-5 4.769709-1 1.161809-5 4.669494-1 1.173292-5 4.632586-1 1.201319-5 5.028654-1 1.351161-5 6.189229-1 1.513561-5 7.921977-1 1.678804-5 1.008742+0 2.000000-5 1.507329+0 2.601711-5 2.618364+0 3.365324-5 4.011074+0 4.004125-5 4.880669+0 4.775253-5 5.508849+0 4.788966-5 5.950498+0 4.812541-5 1.370434+1 4.824328-5 2.020852+1 4.836115-5 2.988908+1 4.849376-5 4.488593+1 4.878292-5 8.337139+1 4.884002-5 9.017117+1 4.896135-5 9.981681+1 4.908362-5 1.022727+2 4.922124-5 9.739888+1 4.941950-5 7.943172+1 4.958046-5 6.363372+1 4.967094-5 5.696706+1 4.979926-5 5.242128+1 4.995120-5 5.248864+1 5.018234-5 5.519076+1 5.030933-5 5.423636+1 5.043706-5 5.114440+1 5.055155-5 4.554947+1 5.087866-5 2.397425+1 5.099943-5 1.748899+1 5.112021-5 1.271740+1 5.124098-5 9.553194+0 5.148252-5 5.687070+0 5.707478-5 5.850950+0 5.763671-5 6.112717+0 5.835828-5 6.948555+0 5.882493-5 6.987593+0 5.934186-5 6.990071+0 5.998865-5 7.237370+0 6.137050-5 7.113544+0 7.852356-5 6.555904+0 8.692300-5 6.477046+0 8.775889-5 6.717256+0 8.882840-5 7.462143+0 8.928338-5 7.459871+0 9.037222-5 6.885652+0 1.336137-4 6.578592+0 2.659059-4 4.634344+0 3.418091-4 3.784010+0 4.271428-4 3.074030+0 5.248075-4 2.485070+0 6.249760-4 2.043653+0 6.251136-4 2.053354+0 6.281909-4 4.294758+0 6.297295-4 6.154542+0 6.313774-4 9.253597+0 6.331745-4 1.396346+1 6.378386-4 2.887481+1 6.396293-4 3.263293+1 6.411411-4 3.410045+1 6.427483-4 3.388181+1 6.456725-4 3.060787+1 6.517688-4 2.339632+1 6.545018-4 2.033174+1 6.564271-4 1.771193+1 6.590165-4 1.522802+1 6.606072-4 1.415078+1 6.621980-4 1.353784+1 6.640316-4 1.336570+1 6.670146-4 1.348056+1 6.728125-4 1.483173+1 6.792500-4 1.532320+1 7.061002-4 1.477104+1 7.490304-4 1.370049+1 7.598883-4 1.425624+1 7.693977-4 1.482341+1 9.293964-4 1.167988+1 1.082376-3 9.477550+0 1.259553-3 7.598663+0 1.461126-3 6.077981+0 1.663222-3 4.967038+0 1.913100-3 3.975654+0 2.190395-3 3.191699+0 2.495946-3 2.571764+0 2.862044-3 2.044546+0 3.219289-3 1.673083+0 3.624718-3 1.363683+0 4.091981-3 1.104444+0 4.613840-3 8.946301-1 5.151904-3 7.359651-1 5.844270-3 5.873276-1 6.343239-3 5.098293-1 6.372834-3 5.291926-1 6.391925-3 5.663410-1 6.407590-3 6.271333-1 6.419056-3 6.972330-1 6.432331-3 8.125836-1 6.446445-3 9.845137-1 6.461659-3 1.228667+0 6.483267-3 1.673495+0 6.530416-3 2.779490+0 6.556485-3 3.255129+0 6.588426-3 3.598857+0 6.632561-3 3.747205+0 8.002335-3 2.831346+0 9.153663-3 2.269118+0 1.042180-2 1.829387+0 1.176880-2 1.484426+0 1.318221-2 1.219884+0 1.470089-2 1.004254+0 1.654862-2 8.118658-1 1.840772-2 6.675053-1 2.062119-2 5.408745-1 2.268689-2 4.517068-1 2.534808-2 3.659832-1 2.774119-2 3.075132-1 3.062220-2 2.540286-1 3.380393-2 2.092560-1 3.733418-2 1.720065-1 4.093940-2 1.430801-1 4.490576-2 1.188821-1 4.904842-2 9.945957-2 5.355971-2 8.315827-2 5.972004-2 6.660034-2 6.666626-2 5.306657-2 7.297422-2 4.403353-2 8.086421-2 3.559334-2 8.837746-2 2.956487-2 9.733010-2 2.416597-2 1.074892-1 1.963502-2 1.182769-1 1.607603-2 1.291803-1 1.337004-2 1.417208-1 1.101534-2 1.548526-1 9.164427-3 1.728579-1 7.303843-3 1.930594-1 5.815021-3 2.137812-1 4.725935-3 2.333920-1 3.957255-3 2.574098-1 3.255703-3 2.804972-1 2.753242-3 3.081414-1 2.296222-3 3.427678-1 1.880187-3 3.847573-1 1.523132-3 4.321768-1 1.242250-3 4.841724-1 1.027229-3 5.354883-1 8.741415-4 5.891615-1 7.558976-4 6.683439-1 6.307486-4 7.594651-1 5.328593-4 8.772532-1 4.486461-4 1.012672+0 3.833237-4 1.228714+0 3.138898-4 1.477239+0 2.593083-4 1.776032+0 2.142178-4 2.135261+0 1.769679-4 2.567148+0 1.461954-4 3.086391+0 1.207738-4 3.710658+0 9.977275-5 4.461192+0 8.242350-5 5.363532+0 6.809108-5 6.448384+0 5.625088-5 7.752663+0 4.646955-5 9.320751+0 3.838907-5 9.760024+0 3.659884-5 1.000000+1 7.281339-5 1 25000 7 0 5.493800+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-2.484175+1 2.327893-6-2.367398+1 2.860962-6-2.194261+1 3.096705-6-2.010274+1 3.243036-6-1.789963+1 3.328379-6-1.569968+1 3.390184-6-1.321054+1 3.427108-6-1.106316+1 3.455631-6-8.836327+0 3.472677-6-7.151896+0 3.482651-6-5.999034+0 3.491379-6-4.863293+0 3.499015-6-3.752666+0 3.505697-6-2.674370+0 3.511544-6-1.634691+0 3.516660-6-6.388781-1 3.521136-6 3.089049-1 3.525053-6 1.205587+0 3.528480-6 2.049148+0 3.534478-6 3.682343+0 3.538976-6 5.067904+0 3.544880-6 7.168315+0 3.550573-6 9.680067+0 3.553563-6 1.148782+1 3.567772-6 1.897195+1 3.578702-6 2.651608+1 3.586308-6 3.301779+1 3.588500-6 3.555818+1 3.598376-6 4.253187+1 3.607940-6 4.741730+1 3.616855-6 4.923674+1 3.624465-6 4.685128+1 3.631041-6 4.213499+1 3.636168-6 3.662311+1 3.639910-6 3.111837+1 3.645375-6 2.158459+1 3.648244-6 1.568613+1 3.649203-6 1.325735+1 3.653323-6 4.021397+0 3.654353-6 1.644548+0 3.655126-6-1.957020-1 3.655705-6-1.620718+0 3.656574-6-3.864545+0 3.657226-6-5.702329+0 3.657853-6-7.694874+0 3.659797-6-1.288608+1 3.664526-6-2.504659+1 3.666306-6-1.974372+1 3.668126-6-1.439204+1 3.672812-6-2.314838+0 3.673956-6 6.983110-1 3.674528-6 2.284761+0 3.674814-6 3.123458+0 3.675376-6 4.961614+0 3.675910-6 6.485287+0 3.677790-6 1.124575+1 3.685515-6 2.896784+1 3.688683-6 3.488560+1 3.693861-6 4.333378+1 3.699324-6 4.963523+1 3.705736-6 5.401759+1 3.710414-6 5.508164+1 3.718139-6 5.401688+1 3.727519-6 4.833334+1 3.746831-6 3.150459+1 3.762281-6 2.078887+1 3.764432-6 1.867528+1 3.768612-6 1.580426+1 3.772775-6 1.356743+1 3.776927-6 1.167327+1 3.785181-6 8.555897+0 3.793371-6 6.047263+0 3.801497-6 3.960838+0 3.805536-6 3.040142+0 3.809559-6 2.187556+0 3.817575-6 6.534330-1 3.825528-6-6.876209-1 3.833418-6-1.871873+0 3.841247-6-2.926587+0 3.849015-6-3.872812+0 3.864369-6-5.502417+0 3.886953-6-7.453876+0 3.909070-6-8.990768+0 3.951823-6-1.125676+1 4.005773-6-1.327765+1 4.080967-6-1.520224+1 4.211844-6-1.727987+1 4.412088-6-1.905587+1 4.859334-6-2.094333+1 5.512689-6-2.286321+1 5.610010-6-2.438654+1 5.655089-6-2.461979+1 5.693245-6-2.284381+1 5.737825-6-2.003263+1 5.765195-6-1.944768+1 5.888815-6-2.130151+1 6.350778-6-2.284036+1 6.459956-6-2.194651+1 6.684593-6-2.268249+1 7.599237-6-2.371498+1 7.872393-6-2.510557+1 7.916004-6-2.482356+1 8.047674-6-2.147533+1 8.088417-6-2.215408+1 8.134797-6-2.505525+1 8.140888-6-2.497537+1 8.204247-6-2.026065+1 8.256807-6-1.771748+1 8.298119-6-1.690685+1 8.327084-6-1.705168+1 8.470929-6-2.005529+1 8.642189-6-2.126510+1 9.322216-6-2.250263+1 9.961192-6-2.355805+1 1.011377-5-2.385499+1 1.032990-5-2.205425+1 1.055061-5-2.269184+1 1.082371-5-2.325579+1 1.112716-5-2.301232+1 2.576766-5-2.479036+1 3.665849-5-2.540742+1 4.117315-5-2.276499+1 4.353412-5-2.005994+1 4.488851-5-1.732397+1 4.567842-5-1.480842+1 4.625046-5-1.215215+1 4.666474-5-9.451760+0 4.691597-5-7.296283+0 4.711204-5-5.204360+0 4.719210-5-4.211816+0 4.726216-5-3.261616+0 4.732345-5-2.357644+0 4.737709-5-1.502816+0 4.742402-5-6.991105-1 4.746508-5 5.239753-2 4.753695-5 1.493797+0 4.759084-5 2.700859+0 4.766158-5 4.494542+0 4.772979-5 6.535122+0 4.781252-5 9.602444+0 4.787037-5 1.225594+1 4.791084-5 1.483005+1 4.811067-5 2.428889+1 4.825801-5 3.260857+1 4.840167-5 3.910021+1 4.852139-5 4.150562+1 4.860373-5 4.007336+1 4.868355-5 3.637000+1 4.876635-5 2.979173+1 4.882154-5 2.398060+1 4.891945-5 1.086211+1 4.894276-5 7.271403+0 4.895053-5 5.797375+0 4.895421-5 5.045114+0 4.896135-5 3.796703+0 4.897473-5 1.654755+0 4.899815-5-1.870843+0 4.904864-5-9.469554+0 4.906717-5-1.267725+1 4.908362-5-1.569140+1 4.914096-5-2.400481+1 4.919295-5-1.691812+1 4.921430-5-1.335973+1 4.924528-5-9.302542+0 4.927279-5-6.207553+0 4.933288-5-1.036609-1 4.934755-5 1.198563+0 4.936130-5 2.305405+0 4.937418-5 3.264094+0 4.939835-5 4.882186+0 4.941950-5 6.122533+0 4.945419-5 7.823723+0 4.949315-5 9.242194+0 4.952569-5 9.993838+0 4.955707-5 1.022877+1 4.958046-5 9.880174+0 4.962570-5 9.511620+0 4.965963-5 8.881092+0 4.967094-5 8.408976+0 4.979171-5 5.106853+0 4.979926-5 4.745255+0 4.981341-5 4.318737+0 4.983818-5 3.811066+0 4.991248-5 2.772285+0 4.992063-5 2.620981+0 4.993640-5 2.487776+0 4.995120-5 2.446202+0 4.997893-5 2.514303+0 5.000320-5 2.699219+0 5.002444-5 2.944922+0 5.004302-5 3.220545+0 5.007553-5 3.837513+0 5.009992-5 4.417870+0 5.011872-5 4.944233+0 5.014564-5 5.840486+0 5.016622-5 6.715030+0 5.018234-5 7.639483+0 5.023499-5 9.706101+0 5.025890-5 1.038823+1 5.028537-5 1.153290+1 5.030933-5 1.294309+1 5.040205-5 1.755111+1 5.043706-5 1.976484+1 5.057804-5 2.597286+1 5.068516-5 2.850803+1 5.079703-5 2.922672+1 5.087866-5 2.831075+1 5.099943-5 2.541070+1 5.125888-5 1.696777+1 5.147023-5 1.100145+1 5.150051-5 9.826303+0 5.153198-5 8.907783+0 5.162640-5 6.755316+0 5.169148-5 5.548334+0 5.175555-5 4.501883+0 5.181861-5 3.577680+0 5.188069-5 2.751120+0 5.194180-5 2.004941+0 5.206211-5 6.957547-1 5.217866-5-4.095164-1 5.229156-5-1.358589+0 5.240094-5-2.184540+0 5.250690-5-2.910553+0 5.270899-5-4.129111+0 5.290166-5-5.127287+0 5.325162-5-6.633437+0 5.355920-5-7.713114+0 5.429609-5-9.686014+0 5.505556-5-1.114518+1 5.777719-5-1.473993+1 5.835828-5-1.488914+1 5.914998-5-1.484121+1 7.441032-5-1.545232+1 8.661811-5-1.573441+1 8.843509-5-1.602943+1 8.989799-5-1.503915+1 9.233088-5-1.517507+1 1.480000-4-1.286258+1 2.016325-4-1.152903+1 2.659059-4-1.080281+1 3.418091-4-1.068148+1 4.271428-4-1.127225+1 4.940484-4-1.243370+1 5.370604-4-1.381568+1 5.716722-4-1.577781+1 5.930026-4-1.793062+1 6.019173-4-1.932889+1 6.140514-4-1.811903+1 6.203784-4-1.647352+1 6.237948-4-1.464916+1 6.251136-4-1.329218+1 6.264605-4-1.181292+1 6.281909-4-1.002905+1 6.299297-4-7.886200+0 6.315823-4-6.088771+0 6.319407-4-5.829345+0 6.331745-4-5.213163+0 6.337441-4-5.201191+0 6.345274-4-5.548811+0 6.350391-4-5.960739+0 6.358543-4-6.890955+0 6.367962-4-8.510363+0 6.374733-4-1.014000+1 6.390793-4-1.541121+1 6.413947-4-2.463334+1 6.431716-4-1.919907+1 6.448389-4-1.529132+1 6.462038-4-1.304292+1 6.482356-4-1.070695+1 6.500435-4-9.256929+0 6.540283-4-6.939971+0 6.552458-4-6.582898+0 6.558543-4-6.635764+0 6.564271-4-6.918696+0 6.587239-4-7.645929+0 6.640316-4-1.096732+1 6.676354-4-1.247505+1 6.710771-4-1.283374+1 6.920499-4-1.106998+1 7.155861-4-9.792034+0 7.398101-4-9.083810+0 7.598883-4-9.271617+0 7.662668-4-8.764183+0 7.753184-4-7.859095+0 7.888982-4-7.062870+0 8.199311-4-5.822619+0 8.542607-4-4.807747+0 8.998698-4-3.814839+0 9.482736-4-3.007742+0 9.774571-4-2.613371+0 1.034317-3-1.996705+0 1.082376-3-1.583438+0 1.144853-3-1.166886+0 1.174237-3-1.009065+0 1.228728-3-7.764823-1 1.288814-3-5.708030-1 1.350026-3-4.092560-1 1.411670-3-2.838303-1 1.450000-3-2.195170-1 1.482105-3-1.772134-1 1.516879-3-1.392385-1 1.557276-3-1.036297-1 1.585806-3-8.164555-2 1.632641-3-5.306239-2 1.663222-3-3.945691-2 1.688496-3-2.902859-2 1.714063-3-2.003884-2 1.747017-3-9.649282-3 1.785348-3-2.023077-3 1.790045-3-1.255918-3 1.804674-3 6.072127-4 1.812367-3 1.599264-3 1.827350-3 2.588582-3 1.829486-3 2.641477-3 1.843200-3 2.682699-3 1.865997-3 2.491686-3 1.873602-3 2.587636-3 1.904947-3 1.571470-3 1.911988-3 1.362476-3 1.923369-3 7.140455-4 1.935253-3-5.531191-4 1.941507-3-1.211057-3 1.953411-3-2.954764-3 1.973488-3-6.143485-3 2.004725-3-1.326117-2 2.076779-3-2.979834-2 2.106531-3-3.798558-2 2.142579-3-5.006874-2 2.254888-3-8.006891-2 2.364459-3-1.173638-1 2.647833-3-2.280009-1 3.927014-3-7.856198-1 4.797736-3-1.199865+0 5.300548-3-1.509143+0 5.657842-3-1.816153+0 5.915771-3-2.137740+0 6.098407-3-2.476835+0 6.224473-3-2.829454+0 6.320972-3-3.257104+0 6.380706-3-3.709824+0 6.443327-3-4.506004+0 6.489744-3-5.035417+0 6.520968-3-5.064669+0 6.556485-3-4.722214+0 6.632561-3-3.619308+0 6.689709-3-3.072229+0 6.758170-3-2.656190+0 6.840489-3-2.297423+0 6.964888-3-1.905502+0 7.110793-3-1.568054+0 7.282471-3-1.268827+0 7.466636-3-1.021630+0 7.700193-3-7.765071-1 7.924416-3-5.905986-1 8.115331-3-4.624805-1 8.300309-3-3.571664-1 8.507513-3-2.578661-1 8.708713-3-1.763998-1 8.930569-3-9.917092-2 9.153663-3-3.317953-2 9.288474-3 6.027104-4 9.374159-3 2.219993-2 9.620826-3 7.576146-2 9.869282-3 1.216882-1 1.015500-2 1.675614-1 1.042180-2 2.039524-1 1.067768-2 2.324446-1 1.120019-2 2.763796-1 1.203611-2 3.215402-1 1.318221-2 3.529141-1 1.470089-2 3.612295-1 1.714847-2 3.422731-1 2.534808-2 2.305069-1 2.948712-2 1.847184-1 3.483402-2 1.390439-1 3.977173-2 1.070104-1 4.490576-2 8.092049-2 5.057058-2 5.870437-2 5.531109-2 4.381108-2 5.972004-2 3.245912-2 6.498486-2 2.110350-2 6.797593-2 1.555982-2 7.131845-2 1.002114-2 7.297422-2 7.502176-3 7.613274-2 3.066413-3 7.771839-2 1.009905-3 7.835424-2 2.231975-4 7.930432-2-9.426994-4 8.086421-2-2.779161-3 8.392483-2-6.163077-3 8.837746-2-1.054690-2 9.522188-2-1.633333-2 1.044106-1-2.263904-2 1.142643-1-2.800888-2 1.291803-1-3.419610-2 1.506382-1-4.045433-2 1.821396-1-4.629845-2 2.333920-1-5.157890-2 3.305783-1-5.601315-2 5.527134-1-5.907853-2 1.619761+0-6.065430-2 4.891600+0-6.083914-2 1.000000+1-6.084536-2 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.242301-2 1.103678-6 1.893226-2 1.173736-6 2.472938-2 1.248240-6 3.243589-2 1.327474-6 4.273766-2 1.411738-6 5.659665-2 1.501350-6 7.537907-2 1.596651-6 1.010538-1 1.646546-6 1.173296-1 1.698001-6 1.365066-1 1.751063-6 1.591724-1 1.805784-6 1.860530-1 1.862215-6 2.180513-1 1.920409-6 2.562869-1 1.978596-6 3.007999-1 2.089571-6 4.056643-1 2.142472-6 4.671298-1 2.193719-6 5.352922-1 2.243365-6 6.107151-1 2.291460-6 6.939329-1 2.338052-6 7.855075-1 2.383187-6 8.860298-1 2.426912-6 9.961209-1 2.469271-6 1.116433+0 2.510306-6 1.247652+0 2.550059-6 1.390497+0 2.588569-6 1.545723+0 2.625876-6 1.714120+0 2.662017-6 1.896519+0 2.697029-6 2.093788+0 2.730946-6 2.306836+0 2.763804-6 2.536615+0 2.795635-6 2.784121+0 2.826471-6 3.050392+0 2.856344-6 3.336514+0 2.885283-6 3.643621+0 2.913317-6 3.972893+0 2.940476-6 4.325562+0 2.966786-6 4.702915+0 2.992273-6 5.106375+0 3.016965-6 5.537824+0 3.040884-6 5.999343+0 3.072000-6 6.670967+0 3.108251-6 7.566759+0 3.129318-6 8.156374+0 3.149726-6 8.786109+0 3.189268-6 1.018756+1 3.226338-6 1.175951+1 3.261091-6 1.352280+1 3.293672-6 1.549590+1 3.324217-6 1.769748+1 3.352853-6 2.014711+1 3.379699-6 2.286523+1 3.404868-6 2.587309+1 3.428463-6 2.919268+1 3.450583-6 3.284663+1 3.471321-6 3.685809+1 3.490763-6 4.125063+1 3.508990-6 4.604808+1 3.526078-6 5.127443+1 3.542097-6 5.695362+1 3.557116-6 6.310944+1 3.571195-6 6.976537+1 3.584395-6 7.694444+1 3.596770-6 8.466916+1 3.608371-6 9.296152+1 3.619247-6 1.018430+2 3.629444-6 1.113348+2 3.639003-6 1.214576+2 3.647965-6 1.322319+2 3.656366-6 1.436783+2 3.664243-6 1.558179+2 3.671627-6 1.686731+2 3.678550-6 1.822685+2 3.685040-6 1.966309+2 3.691125-6 2.117891+2 3.696829-6 2.277717+2 3.707524-6 2.635659+2 3.716882-6 3.031329+2 3.725071-6 3.463939+2 3.732236-6 3.929915+2 3.738505-6 4.422976+2 3.743991-6 4.934832+2 3.748791-6 5.456159+2 3.752991-6 5.977582+2 3.756666-6 6.490454+2 3.763097-6 7.533586+2 3.771538-6 9.233926+2 3.783555-6 1.245361+3 3.798684-6 1.816223+3 3.807993-6 2.273053+3 3.814976-6 2.670804+3 3.821267-6 3.068415+3 3.827190-6 3.474224+3 3.832434-6 3.855776+3 3.840663-6 4.487334+3 3.842720-6 4.649696+3 3.850067-6 5.236151+3 3.855210-6 5.645713+3 3.860646-6 6.069256+3 3.864503-6 6.359259+3 3.870016-6 6.751572+3 3.875110-6 7.083709+3 3.877104-6 7.204112+3 3.882981-6 7.522641+3 3.887095-6 7.709268+3 3.892606-6 7.906545+3 3.897434-6 8.025712+3 3.903103-6 8.097662+3 3.908117-6 8.098196+3 3.913482-6 8.032843+3 3.917585-6 7.937745+3 3.924712-6 7.684353+3 3.929189-6 7.472305+3 3.934704-6 7.161612+3 3.938836-6 6.897642+3 3.943477-6 6.574737+3 3.947353-6 6.287601+3 3.952336-6 5.901010+3 3.957039-6 5.524375+3 3.961741-6 5.142297+3 3.966877-6 4.725308+3 3.971145-6 4.383716+3 3.980549-6 3.663571+3 3.989953-6 3.009739+3 3.996271-6 2.616460+3 4.004059-6 2.186866+3 4.016003-6 1.646249+3 4.028316-6 1.226467+3 4.036444-6 1.014618+3 4.040485-6 9.257337+2 4.044509-6 8.467612+2 4.048518-6 7.766753+2 4.052511-6 7.145140+2 4.060467-6 6.102900+2 4.068360-6 5.280994+2 4.076192-6 4.628395+2 4.083962-6 4.104907+2 4.091672-6 3.679634+2 4.099321-6 3.329276+2 4.106911-6 3.036486+2 4.114441-6 2.788435+2 4.121913-6 2.575638+2 4.129326-6 2.391046+2 4.136681-6 2.229366+2 4.151277-6 1.958582+2 4.165644-6 1.741908+2 4.179787-6 1.564855+2 4.193709-6 1.417760+2 4.207414-6 1.293896+2 4.220904-6 1.188411+2 4.234184-6 1.097702+2 4.247256-6 1.019029+2 4.260124-6 9.502657+1 4.272791-6 8.897335+1 4.297728-6 7.875531+1 4.321887-6 7.056373+1 4.345290-6 6.387425+1 4.367962-6 5.833028+1 4.389926-6 5.367799+1 4.411203-6 4.973139+1 4.431816-6 4.635082+1 4.451784-6 4.342797+1 4.490472-6 3.856391+1 4.526743-6 3.476273+1 4.560746-6 3.172841+1 4.592625-6 2.926475+1 4.622510-6 2.723500+1 4.650528-6 2.554004+1 4.703062-6 2.279414+1 4.749029-6 2.076047+1 4.789250-6 1.921592+1 4.824444-6 1.801706+1 4.886033-6 1.618925+1 4.932224-6 1.500370+1 5.001511-6 1.346405+1 5.108242-6 1.150158+1 5.320421-6 8.594697+0 5.446960-6 7.188031+0 5.541864-6 6.171273+0 5.577453-6 5.781300+0 5.608593-6 5.426944+0 5.635841-6 5.101151+0 5.662400-6 4.763155+0 5.680545-6 4.516453+0 5.698799-6 4.251347+0 5.714771-6 4.002143+0 5.728747-6 3.768530+0 5.740975-6 3.551120+0 5.751675-6 3.351038+0 5.761038-6 3.169437+0 5.777423-6 2.843756+0 5.798927-6 2.437786+0 5.805840-6 2.326544+0 5.811024-6 2.254132+0 5.814912-6 2.207657+0 5.820744-6 2.153273+0 5.823660-6 2.134110+0 5.826576-6 2.121039+0 5.834050-6 2.119460+0 5.837711-6 2.137822+0 5.839904-6 2.155587+0 5.855259-6 2.447141+0 5.862769-6 2.715185+0 5.866355-6 2.876597+0 5.870855-6 3.111920+0 5.878541-6 3.602678+0 5.884571-6 4.070011+0 5.903863-6 6.068285+0 5.911690-6 7.091153+0 5.919051-6 8.152868+0 5.926181-6 9.260796+0 5.932958-6 1.037219+1 5.938610-6 1.133122+1 5.941307-6 1.179583+1 5.948478-6 1.304214+1 5.955144-6 1.419878+1 5.961060-6 1.520717+1 5.966732-6 1.614497+1 5.974308-6 1.733197+1 5.981098-6 1.831217+1 5.994566-6 1.995409+1 6.001664-6 2.062912+1 6.007339-6 2.106453+1 6.014807-6 2.149066+1 6.021109-6 2.171875+1 6.026256-6 2.181646+1 6.030116-6 2.183862+1 6.035907-6 2.179251+1 6.041697-6 2.165584+1 6.049547-6 2.133751+1 6.052164-6 2.120023+1 6.063042-6 2.048493+1 6.070380-6 1.989209+1 6.075776-6 1.941215+1 6.084721-6 1.855599+1 6.095676-6 1.744506+1 6.113404-6 1.562390+1 6.146440-6 1.260798+1 6.153691-6 1.205242+1 6.168195-6 1.106712+1 6.182699-6 1.024123+1 6.203003-6 9.316493+0 6.222037-6 8.643625+0 6.239882-6 8.138097+0 6.273341-6 7.405531+0 6.302618-6 6.905625+0 6.430703-6 5.262567+0 6.469129-6 4.777486+0 6.522668-6 4.111167+0 6.533731-6 4.000756+0 6.543660-6 3.918990+0 6.555607-6 3.848497+0 6.560912-6 3.828700+0 6.575715-6 3.816830+0 6.580049-6 3.826483+0 6.593052-6 3.893655+0 6.598382-6 3.938078+0 6.603046-6 3.984973+0 6.611208-6 4.084602+0 6.621921-6 4.247149+0 6.635695-6 4.501314+0 6.655853-6 4.933103+0 6.673400-6 5.322217+0 6.677418-6 5.407912+0 6.689470-6 5.648510+0 6.693487-6 5.721596+0 6.705540-6 5.913605+0 6.716433-6 6.046285+0 6.725329-6 6.122530+0 6.732001-6 6.159916+0 6.742009-6 6.183985+0 6.752017-6 6.170693+0 6.760031-6 6.134754+0 6.768045-6 6.078283+0 6.779853-6 5.962427+0 6.795870-6 5.756481+0 6.819380-6 5.394802+0 6.852950-6 4.870340+0 6.869735-6 4.644933+0 6.886520-6 4.460296+0 6.903305-6 4.322566+0 6.915374-6 4.253452+0 6.924425-6 4.217489+0 6.938003-6 4.186963+0 6.951580-6 4.180607+0 6.970445-6 4.201129+0 7.012408-6 4.286234+0 7.029193-6 4.306010+0 7.041781-6 4.309052+0 7.054370-6 4.301090+0 7.071302-6 4.274084+0 7.088496-6 4.231353+0 7.156070-6 4.021659+0 7.174464-6 3.973784+0 7.208851-6 3.899156+0 7.267060-6 3.789359+0 7.340316-6 3.641744+0 7.453071-6 3.400591+0 7.605869-6 3.081128+0 7.658859-6 2.969234+0 7.711882-6 2.855216+0 7.794506-6 2.674306+0 7.866000-6 2.510842+0 7.954916-6 2.297743+0 8.055036-6 2.048382+0 8.104289-6 1.921407+0 8.138301-6 1.831498+0 8.196639-6 1.672486+0 8.246867-6 1.530362+0 8.277446-6 1.441272+0 8.312798-6 1.335650+0 8.345941-6 1.233938+0 8.377013-6 1.136173+0 8.406143-6 1.042454+0 8.433452-6 9.529042-1 8.459054-6 8.676504-1 8.483056-6 7.868211-1 8.505558-6 7.105441-1 8.526654-6 6.389445-1 8.546431-6 5.721399-1 8.568572-6 4.983380-1 8.582355-6 4.532984-1 8.598650-6 4.013834-1 8.613928-6 3.544963-1 8.628250-6 3.126132-1 8.641678-6 2.756850-1 8.654266-6 2.436499-1 8.677131-6 1.940184-1 8.687503-6 1.763296-1 8.697228-6 1.633531-1 8.706344-6 1.550698-1 8.714890-6 1.514590-1 8.722903-6 1.524864-1 8.730414-6 1.580941-1 8.737457-6 1.681915-1 8.744059-6 1.826496-1 8.750248-6 2.012979-1 8.756050-6 2.239244-1 8.761490-6 2.502786-1 8.766590-6 2.800766-1 8.771371-6 3.130069-1 8.775854-6 3.487380-1 8.783872-6 4.258902-1 8.811596-6 8.649645-1 8.821991-6 1.121302+0 8.832705-6 1.454192+0 8.837897-6 1.644277+0 8.845809-6 1.974560+0 8.854142-6 2.380866+0 8.860837-6 2.755388+0 8.868988-6 3.274660+0 8.878771-6 3.998614+0 8.887946-6 4.786806+0 8.893057-6 5.274939+0 8.900722-6 6.076964+0 8.908387-6 6.966697+0 8.912567-6 7.490245+0 8.921972-6 8.770526+0 8.931597-6 1.023122+1 8.939282-6 1.150876+1 8.948333-6 1.314025+1 8.968828-6 1.732603+1 8.977239-6 1.922822+1 8.992346-6 2.287739+1 9.000896-6 2.505399+1 9.004976-6 2.611581+1 9.017218-6 2.936881+1 9.028239-6 3.235123+1 9.034809-6 3.413600+1 9.044198-6 3.667500+1 9.054572-6 3.943636+1 9.067199-6 4.268782+1 9.078813-6 4.552558+1 9.091304-6 4.836826+1 9.101873-6 5.057386+1 9.127167-6 5.499655+1 9.131297-6 5.559584+1 9.151540-6 5.801485+1 9.163677-6 5.905269+1 9.171393-6 5.955456+1 9.194542-6 6.034940+1 9.202518-6 6.038620+1 9.211621-6 6.028655+1 9.238930-6 5.912992+1 9.244479-6 5.874597+1 9.261124-6 5.731261+1 9.274773-6 5.584029+1 9.285049-6 5.456863+1 9.302199-6 5.216546+1 9.318594-6 4.958460+1 9.342074-6 4.552321+1 9.349901-6 4.410235+1 9.366546-6 4.101938+1 9.372095-6 3.998284+1 9.394289-6 3.586072+1 9.416483-6 3.188836+1 9.434179-6 2.891196+1 9.478756-6 2.244910+1 9.501044-6 1.983790+1 9.510895-6 1.881485+1 9.530290-6 1.702243+1 9.549079-6 1.554436+1 9.567280-6 1.432660+1 9.584913-6 1.332055+1 9.601994-6 1.248460+1 9.635090-6 1.117438+1 9.668204-6 1.016642+1 9.695205-6 9.502507+0 9.722475-6 8.936487+0 9.773607-6 8.075318+0 9.818346-6 7.471294+0 9.857494-6 7.023615+0 9.926002-6 6.370967+0 9.977383-6 5.962232+0 1.005445-5 5.441874+0 1.008729-5 5.246106+0 1.018140-5 4.747305+0 1.038144-5 3.883551+0 1.042922-5 3.699041+0 1.050827-5 3.400345+0 1.058437-5 3.111993+0 1.066046-5 2.810235+0 1.071119-5 2.591848+0 1.076456-5 2.337040+0 1.078729-5 2.219048+0 1.081265-5 2.081090+0 1.083737-5 1.942229+0 1.087332-5 1.741222+0 1.090398-5 1.585209+0 1.092410-5 1.500274+0 1.094422-5 1.436874+0 1.095092-5 1.421759+0 1.097774-5 1.398488+0 1.100457-5 1.446500+0 1.101475-5 1.486136+0 1.103418-5 1.597027+0 1.104092-5 1.646553+0 1.105103-5 1.731578+0 1.106114-5 1.829356+0 1.107303-5 1.960148+0 1.109548-5 2.250767+0 1.112734-5 2.744912+0 1.114282-5 3.010020+0 1.115984-5 3.312387+0 1.117005-5 3.496548+0 1.119727-5 3.984641+0 1.120408-5 4.103652+0 1.122450-5 4.447052+0 1.123130-5 4.555760+0 1.124322-5 4.737537+0 1.127895-5 5.204643+0 1.128868-5 5.308470+0 1.129767-5 5.394508+0 1.133340-5 5.638442+0 1.134495-5 5.682492+0 1.135859-5 5.712378+0 1.137371-5 5.717655+0 1.138405-5 5.704745+0 1.139956-5 5.661046+0 1.141508-5 5.589540+0 1.143372-5 5.469612+0 1.146953-5 5.150753+0 1.149675-5 4.849060+0 1.152398-5 4.515721+0 1.155120-5 4.168550+0 1.157226-5 3.901185+0 1.162923-5 3.238582+0 1.165771-5 2.964769+0 1.168620-5 2.741414+0 1.171468-5 2.573250+0 1.173043-5 2.504489+0 1.174618-5 2.452663+0 1.175967-5 2.421247+0 1.177990-5 2.395116+0 1.179002-5 2.390764+0 1.180013-5 2.391691+0 1.181653-5 2.403251+0 1.183292-5 2.425458+0 1.186183-5 2.483956+0 1.194032-5 2.686186+0 1.197648-5 2.764749+0 1.203451-5 2.842179+0 1.208497-5 2.858354+0 1.211498-5 2.848912+0 1.213143-5 2.839010+0 1.218100-5 2.795496+0 1.227010-5 2.704624+0 1.231219-5 2.671139+0 1.235279-5 2.647741+0 1.252672-5 2.587702+0 1.259971-5 2.549168+0 1.274160-5 2.450183+0 1.283907-5 2.386565+0 1.294155-5 2.335665+0 1.305806-5 2.294859+0 1.329815-5 2.229435+0 1.360000-5 2.141474+0 1.450191-5 1.889292+0 1.494731-5 1.788173+0 1.541442-5 1.699024+0 1.584893-5 1.633405+0 1.640590-5 1.563542+0 1.690000-5 1.522245+0 1.740143-5 1.497736+0 1.800000-5 1.492927+0 1.862087-5 1.525849+0 2.019000-5 1.706652+0 2.113489-5 1.908601+0 2.141822-5 1.980767+0 2.216503-5 2.202661+0 2.264644-5 2.368002+0 2.317395-5 2.571358+0 2.373889-5 2.812028+0 2.511886-5 3.507091+0 2.641660-5 4.285193+0 2.710800-5 4.752929+0 2.900000-5 6.193474+0 3.054921-5 7.532973+0 3.235937-5 9.251442+0 3.409044-5 1.101027+1 3.520810-5 1.218485+1 3.650000-5 1.358463+1 3.816517-5 1.539060+1 3.984264-5 1.721549+1 4.122530-5 1.871095+1 4.169076-5 1.918447+1 4.310313-5 2.040708+1 4.379626-5 2.116309+1 4.431678-5 2.184184+1 4.480529-5 2.258568+1 4.526373-5 2.342129+1 4.569397-5 2.436517+1 4.609775-5 2.542560+1 4.650000-5 2.668524+1 4.683229-5 2.791037+1 4.716603-5 2.935252+1 4.747924-5 3.095203+1 4.777317-5 3.272529+1 4.804902-5 3.468369+1 4.831201-5 3.687447+1 4.855857-5 3.927865+1 4.879865-5 4.201814+1 4.900641-5 4.477495+1 4.920956-5 4.789123+1 4.940002-5 5.126939+1 4.957857-5 5.492200+1 4.974596-5 5.886157+1 4.990290-5 6.310035+1 5.005002-5 6.765009+1 5.018795-5 7.252202+1 5.031725-5 7.772695+1 5.043848-5 8.327548+1 5.055213-5 8.917834+1 5.067282-5 9.633940+1 5.075856-5 1.020935+2 5.085220-5 1.091328+2 5.094000-5 1.165814+2 5.102230-5 1.244588+2 5.109946-5 1.327864+2 5.117180-5 1.415864+2 5.130743-5 1.613822+2 5.142611-5 1.834177+2 5.152995-5 2.076851+2 5.162082-5 2.339937+2 5.170032-5 2.619751+2 5.176989-5 2.911292+2 5.184000-5 3.257927+2 5.188403-5 3.506882+2 5.193063-5 3.800036+2 5.201219-5 4.395701+2 5.211923-5 5.362897+2 5.242161-5 9.544857+2 5.251411-5 1.132007+3 5.264273-5 1.418159+3 5.268889-5 1.531113+3 5.281794-5 1.870240+3 5.283407-5 1.914525+3 5.294699-5 2.230740+3 5.299135-5 2.355791+3 5.307604-5 2.590550+3 5.311702-5 2.700382+3 5.315421-5 2.796842+3 5.321521-5 2.946649+3 5.326191-5 3.052627+3 5.330005-5 3.132557+3 5.335011-5 3.227239+3 5.341448-5 3.329887+3 5.347126-5 3.400803+3 5.354688-5 3.464343+3 5.360409-5 3.487932+3 5.364438-5 3.491692+3 5.370761-5 3.476389+3 5.377465-5 3.432841+3 5.384515-5 3.358888+3 5.389659-5 3.288562+3 5.399166-5 3.128304+3 5.404900-5 3.016768+3 5.412955-5 2.847649+3 5.421958-5 2.650527+3 5.445436-5 2.169613+3 5.453594-5 2.033153+3 5.462151-5 1.913414+3 5.468164-5 1.844313+3 5.473924-5 1.789585+3 5.481120-5 1.736044+3 5.488626-5 1.695828+3 5.496567-5 1.667521+3 5.506003-5 1.647488+3 5.532775-5 1.612140+3 5.544766-5 1.580647+3 5.553285-5 1.546191+3 5.561543-5 1.502151+3 5.569059-5 1.453052+3 5.575336-5 1.405938+3 5.583408-5 1.338261+3 5.590034-5 1.277818+3 5.596661-5 1.214114+3 5.604945-5 1.131592+3 5.609915-5 1.081365+3 5.623168-5 9.485575+2 5.633379-5 8.507712+2 5.649675-5 7.091932+2 5.667913-5 5.772759+2 5.675092-5 5.334332+2 5.682159-5 4.945761+2 5.689116-5 4.602742+2 5.695964-5 4.300737+2 5.702705-5 4.035215+2 5.715976-5 3.593445+2 5.729522-5 3.234618+2 5.741287-5 2.982337+2 5.753353-5 2.768220+2 5.765041-5 2.594422+2 5.776364-5 2.450745+2 5.787333-5 2.329929+2 5.808586-5 2.134880+2 5.828511-5 1.986597+2 5.847191-5 1.869811+2 5.864703-5 1.775443+2 5.881120-5 1.697680+2 5.911903-5 1.573909+2 5.938838-5 1.483986+2 5.962406-5 1.416202+2 5.997199-5 1.330686+2 6.019116-5 1.283974+2 6.052938-5 1.220457+2 6.095066-5 1.152589+2 6.157546-5 1.067291+2 6.248036-5 9.645045+1 6.256231-5 9.569145+1 6.287029-5 9.336099+1 6.305340-5 9.248177+1 6.321739-5 9.207570+1 6.333225-5 9.201117+1 6.357586-5 9.241556+1 6.431255-5 9.540287+1 6.466792-5 9.624502+1 6.542014-5 9.749756+1 6.598413-5 9.880933+1 6.622950-5 9.916682+1 6.649333-5 9.932900+1 7.729672-5 9.809583+1 8.357045-5 9.842804+1 9.044258-5 9.943657+1 9.249567-5 9.925303+1 9.407209-5 9.839042+1 9.479979-5 9.780261+1 9.508216-5 9.772018+1 9.555402-5 9.811117+1 9.578270-5 9.865344+1 9.601673-5 9.949921+1 9.633364-5 1.011187+2 9.683224-5 1.044991+2 9.720000-5 1.071549+2 9.744122-5 1.087133+2 9.768376-5 1.099990+2 9.795793-5 1.110313+2 9.823131-5 1.116046+2 9.869364-5 1.117478+2 9.987579-5 1.109562+2 1.003786-4 1.110754+2 1.125000-4 1.206450+2 1.209691-4 1.266944+2 1.327265-4 1.343866+2 1.482000-4 1.434304+2 1.598638-4 1.493987+2 1.753489-4 1.561537+2 1.927525-4 1.621343+2 2.117510-4 1.671346+2 2.323301-4 1.711637+2 2.526388-4 1.738336+2 2.734482-4 1.756270+2 2.980965-4 1.764914+2 3.245264-4 1.762807+2 3.507519-4 1.749196+2 3.770174-4 1.726107+2 4.078202-4 1.685939+2 4.365158-4 1.634648+2 4.660211-4 1.569902+2 4.944277-4 1.494003+2 5.197341-4 1.413435+2 5.426841-4 1.327195+2 5.623413-4 1.240670+2 5.800569-4 1.150290+2 5.935959-4 1.071303+2 6.069110-4 9.833695+1 6.185296-4 8.966756+1 6.282666-4 8.150046+1 6.371340-4 7.319694+1 6.448477-4 6.518238+1 6.503151-4 5.897029+1 6.551987-4 5.301549+1 6.597816-4 4.724244+1 6.639956-4 4.241565+1 6.675397-4 3.958250+1 6.687167-4 3.902864+1 6.718584-4 3.869669+1 6.746344-4 3.991952+1 6.770030-4 4.224674+1 6.794264-4 4.621501+1 6.814555-4 5.129559+1 6.830686-4 5.696023+1 6.844244-4 6.320227+1 6.852176-4 6.762018+1 6.861154-4 7.341026+1 6.870505-4 8.044307+1 6.879224-4 8.802360+1 6.891351-4 1.003837+2 6.910506-4 1.246681+2 6.932100-4 1.595339+2 6.945973-4 1.860509+2 6.960463-4 2.167682+2 6.977560-4 2.560111+2 6.983316-4 2.696886+2 6.996501-4 3.013066+2 7.006522-4 3.251099+2 7.016063-4 3.471130+2 7.022572-4 3.615443+2 7.026863-4 3.707288+2 7.037205-4 3.915693+2 7.047477-4 4.101124+2 7.050834-4 4.156463+2 7.061496-4 4.313390+2 7.069534-4 4.411682+2 7.080228-4 4.514686+2 7.089012-4 4.575387+2 7.100567-4 4.623242+2 7.110139-4 4.636892+2 7.122130-4 4.623907+2 7.135083-4 4.577326+2 7.150170-4 4.488722+2 7.167173-4 4.356092+2 7.176406-4 4.273571+2 7.199465-4 4.046162+2 7.217818-4 3.850795+2 7.240800-4 3.595526+2 7.253780-4 3.448781+2 7.312095-4 2.830383+2 7.330000-4 2.679546+2 7.345647-4 2.571870+2 7.362625-4 2.483154+2 7.376294-4 2.433326+2 7.386069-4 2.409039+2 7.394100-4 2.395717+2 7.405000-4 2.386405+2 7.415000-4 2.385794+2 7.426673-4 2.393263+2 7.443700-4 2.416603+2 7.464300-4 2.458110+2 7.523000-4 2.598779+2 7.565866-4 2.687199+2 7.596190-4 2.737377+2 7.651485-4 2.807161+2 7.715663-4 2.864550+2 7.775725-4 2.904724+2 7.870584-4 2.953206+2 7.966810-4 2.987572+2 8.037558-4 3.002002+2 8.119898-4 3.004685+2 8.220553-4 2.994496+2 8.265015-4 3.001819+2 8.298956-4 3.022381+2 8.331918-4 3.058809+2 8.354683-4 3.093693+2 8.402209-4 3.186512+2 8.455229-4 3.301879+2 8.489367-4 3.370362+2 8.524907-4 3.431309+2 8.568089-4 3.490394+2 8.612167-4 3.537276+2 8.698542-4 3.607176+2 8.769857-4 3.654026+2 8.885779-4 3.719250+2 9.006271-4 3.777757+2 9.171369-4 3.848717+2 9.468281-4 3.950765+2 9.717884-4 4.011843+2 1.022937-3 4.102329+2 1.052795-3 4.140818+2 1.112372-3 4.187460+2 1.202264-3 4.222292+2 1.272661-3 4.225684+2 1.336995-3 4.211178+2 1.504408-3 4.135046+2 1.642607-3 4.057418+2 1.820700-3 3.924911+2 2.039400-3 3.767491+2 2.340315-3 3.543577+2 2.660725-3 3.315410+2 3.010891-3 3.081238+2 3.333039-3 2.882900+2 3.751450-3 2.641278+2 4.136912-3 2.435850+2 4.317520-3 2.346586+2 4.695441-3 2.165649+2 4.886581-3 2.078806+2 5.097027-3 1.986132+2 5.293586-3 1.901908+2 5.470196-3 1.827950+2 5.646227-3 1.755529+2 5.810195-3 1.688579+2 5.955493-3 1.629034+2 6.079463-3 1.577747+2 6.278437-3 1.493145+2 6.375329-3 1.450205+2 6.445758-3 1.417652+2 6.528736-3 1.377173+2 6.593202-3 1.343733+2 6.650991-3 1.311857+2 6.702235-3 1.281478+2 6.772550-3 1.234746+2 6.814100-3 1.202835+2 6.848314-3 1.172835+2 6.876772-3 1.144391+2 6.911815-3 1.104114+2 6.951988-3 1.051530+2 7.001317-3 9.872406+1 7.023540-3 9.643597+1 7.041672-3 9.510953+1 7.060018-3 9.438796+1 7.068055-3 9.428817+1 7.079458-3 9.437996+1 7.095810-3 9.498247+1 7.107093-3 9.570320+1 7.126676-3 9.746801+1 7.152204-3 1.005035+2 7.206778-3 1.079884+2 7.225061-3 1.103552+2 7.253745-3 1.136655+2 7.284169-3 1.165788+2 7.299536-3 1.178288+2 7.327449-3 1.197733+2 7.351981-3 1.211947+2 7.384902-3 1.227777+2 7.444421-3 1.249716+2 7.521012-3 1.269599+2 7.625703-3 1.287331+2 7.726434-3 1.297624+2 7.855921-3 1.304310+2 8.030955-3 1.305172+2 8.258849-3 1.297547+2 8.579214-3 1.277256+2 8.980556-3 1.242480+2 9.440874-3 1.196686+2 1.000540-2 1.138068+2 1.080812-2 1.057414+2 1.170459-2 9.743403+1 1.288571-2 8.769723+1 1.460075-2 7.592782+1 1.636693-2 6.607602+1 1.824175-2 5.749635+1 1.982026-2 5.142380+1 2.139366-2 4.622352+1 2.355526-2 4.016696+1 2.620674-2 3.412365+1 3.009830-2 2.735799+1 3.879270-2 1.812542+1 4.551676-2 1.385721+1 5.822156-2 9.138509+0 7.043453-2 6.574919+0 8.392976-2 4.823807+0 1.027518-1 3.348924+0 1.218428-1 2.444679+0 1.591550-1 1.477368+0 2.152450-1 8.295834-1 2.940610-1 4.532976-1 4.184989-1 2.269672-1 6.433730-1 9.690422-2 1.347258+0 2.222175-2 4.068655+0 2.440276-3 1.228714+1 2.676160-4 3.710658+1 2.934405-5 1.120601+2 3.217518-6 3.384160+2 3.527939-7 1.258925+3 2.549311-8 3.981072+3 2.549311-9 1.258925+4 2.54931-10 3.981072+4 2.54931-11 1.000000+5 4.04039-12 1 26000 7 7 5.584700+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.080800-6 1.258900-6 1.712900-6 1.584900-6 2.714800-6 1.995300-6 4.302700-6 2.511900-6 6.819300-6 3.162300-6 1.080800-5 3.981100-6 1.712900-5 5.011900-6 2.714800-5 6.309600-6 4.302600-5 7.943300-6 6.819100-5 1.000000-5 1.080700-4 1.258900-5 1.712800-4 1.584900-5 2.714600-4 1.995300-5 4.302300-4 2.511900-5 6.818400-4 3.162300-5 1.080500-3 3.981100-5 1.711700-3 5.011900-5 2.711700-3 6.309600-5 4.296200-3 7.943300-5 6.805300-3 1.000000-4 1.077000-2 1.258900-4 1.704100-2 1.584900-4 2.692300-2 1.995300-4 4.246300-2 2.511900-4 6.678300-2 3.162300-4 1.046100-1 3.981100-4 1.627600-1 5.011900-4 2.507000-1 6.309600-4 3.804200-1 7.943300-4 5.648500-1 1.000000-3 8.146000-1 1.258900-3 1.134200+0 1.584900-3 1.519200+0 1.995300-3 1.969100+0 2.511900-3 2.500100+0 3.162300-3 3.139200+0 3.981100-3 3.904000+0 5.011900-3 4.788600+0 6.309600-3 5.784100+0 7.943300-3 6.861600+0 1.000000-2 7.966300+0 1.258900-2 9.021600+0 1.584900-2 9.982000+0 1.995300-2 1.081200+1 2.511900-2 1.156200+1 3.162300-2 1.211600+1 3.981100-2 1.246900+1 5.011900-2 1.262500+1 6.309600-2 1.259700+1 7.943300-2 1.241000+1 1.000000-1 1.206400+1 1.258900-1 1.158500+1 1.584900-1 1.099700+1 1.995300-1 1.033800+1 2.511900-1 9.633800+0 3.162300-1 8.907900+0 3.981100-1 8.180900+0 5.011900-1 7.466600+0 6.309600-1 6.773400+0 7.943300-1 6.110600+0 1.000000+0 5.479000+0 1.258900+0 4.883500+0 1.584900+0 4.325500+0 1.995300+0 3.807200+0 2.511900+0 3.330000+0 3.162300+0 2.895000+0 3.981100+0 2.501900+0 5.011900+0 2.150400+0 6.309600+0 1.838700+0 7.943300+0 1.564600+0 1.000000+1 1.325500+0 1.258900+1 1.118400+0 1.584900+1 9.402400-1 1.995300+1 7.878400-1 2.511900+1 6.581800-1 3.162300+1 5.483700-1 3.981100+1 4.557700-1 5.011900+1 3.779600-1 6.309600+1 3.128200-1 7.943300+1 2.584300-1 1.000000+2 2.131400-1 1.258900+2 1.755300-1 1.584900+2 1.443500-1 1.995300+2 1.185600-1 2.511900+2 9.726200-2 3.162300+2 7.970400-2 3.981100+2 6.525000-2 5.011900+2 5.336700-2 6.309600+2 4.361000-2 7.943300+2 3.560800-2 1.000000+3 2.905200-2 1.258900+3 2.368600-2 1.584900+3 1.929800-2 1.995300+3 1.571200-2 2.511900+3 1.278500-2 3.162300+3 1.039800-2 3.981100+3 8.451100-3 5.011900+3 6.865400-3 6.309600+3 5.574500-3 7.943300+3 4.524100-3 1.000000+4 3.670000-3 1.258900+4 2.975800-3 1.584900+4 2.412000-3 1.995300+4 1.954100-3 2.511900+4 1.582600-3 3.162300+4 1.281200-3 3.981100+4 1.036900-3 5.011900+4 8.388400-4 6.309600+4 6.784000-4 7.943300+4 5.484600-4 1.000000+5 4.432800-4 1 26000 7 7 5.584700+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510163-4 3.162278-4 3.159551-4 3.981072-4 3.976751-4 5.011872-4 5.005051-4 6.309573-4 6.298851-4 7.943282-4 7.926399-4 1.000000-3 9.973571-4 1.258925-3 1.254810-3 1.584893-3 1.578498-3 1.995262-3 1.985328-3 2.511886-3 2.496408-3 3.162278-3 3.138056-3 3.981072-3 3.943092-3 5.011872-3 4.952279-3 6.309573-3 6.216534-3 7.943282-3 7.798614-3 1.000000-2 9.775697-3 1.258925-2 1.224331-2 1.584893-2 1.531741-2 1.995262-2 1.913679-2 2.511886-2 2.387099-2 3.162278-2 2.972106-2 3.981072-2 3.692994-2 5.011872-2 4.577297-2 6.309573-2 5.658697-2 7.943282-2 6.972503-2 1.000000-1 8.564785-2 1.258925-1 1.048639-1 1.584893-1 1.279619-1 1.995262-1 1.556155-1 2.511886-1 1.885877-1 3.162278-1 2.277755-1 3.981072-1 2.741948-1 5.011872-1 3.290201-1 6.309573-1 3.936676-1 7.943282-1 4.696553-1 1.000000+0 5.591453-1 1.258925+0 6.645075-1 1.584893+0 7.888590-1 1.995262+0 9.359531-1 2.511886+0 1.110485+0 3.162278+0 1.318228+0 3.981072+0 1.566116+0 5.011872+0 1.862887+0 6.309573+0 2.219049+0 7.943282+0 2.647541+0 1.000000+1 3.164119+0 1.258925+1 3.788129+0 1.584893+1 4.543255+0 1.995262+1 5.458410+0 2.511886+1 6.569159+0 3.162278+1 7.919121+0 3.981072+1 9.561566+0 5.011872+1 1.156233+1 6.309573+1 1.400189+1 7.943282+1 1.697954+1 1.000000+2 2.061693+1 1.258925+2 2.506419+1 1.584893+2 3.050581+1 1.995262+2 3.716904+1 2.511886+2 4.533415+1 3.162278+2 5.534664+1 3.981072+2 6.763118+1 5.011872+2 8.271440+1 6.309573+2 1.012436+2 7.943282+2 1.240200+2 1.000000+3 1.520276+2 1.258925+3 1.864912+2 1.584893+3 2.289203+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739840-9 3.981072-5 4.341899-9 5.011872-5 6.881063-9 6.309573-5 1.090538-8 7.943282-5 1.728182-8 1.000000-4 2.738162-8 1.258925-4 4.338684-8 1.584893-4 6.872421-8 1.995262-4 1.088422-7 2.511886-4 1.723068-7 3.162278-4 2.726521-7 3.981072-4 4.320988-7 5.011872-4 6.821167-7 6.309573-4 1.072282-6 7.943282-4 1.688342-6 1.000000-3 2.642916-6 1.258925-3 4.115029-6 1.584893-3 6.395560-6 1.995262-3 9.934017-6 2.511886-3 1.547831-5 3.162278-3 2.422117-5 3.981072-3 3.797989-5 5.011872-3 5.959285-5 6.309573-3 9.303976-5 7.943282-3 1.446682-4 1.000000-2 2.243028-4 1.258925-2 3.459423-4 1.584893-2 5.315180-4 1.995262-2 8.158331-4 2.511886-2 1.247877-3 3.162278-2 1.901718-3 3.981072-2 2.880778-3 5.011872-2 4.345754-3 6.309573-2 6.508760-3 7.943282-2 9.707797-3 1.000000-1 1.435215-2 1.258925-1 2.102868-2 1.584893-1 3.052738-2 1.995262-1 4.391077-2 2.511886-1 6.260096-2 3.162278-1 8.845222-2 3.981072-1 1.239123-1 5.011872-1 1.721671-1 6.309573-1 2.372897-1 7.943282-1 3.246729-1 1.000000+0 4.408547-1 1.258925+0 5.944179-1 1.584893+0 7.960342-1 1.995262+0 1.059309+0 2.511886+0 1.401401+0 3.162278+0 1.844049+0 3.981072+0 2.414955+0 5.011872+0 3.148986+0 6.309573+0 4.090524+0 7.943282+0 5.295742+0 1.000000+1 6.835881+0 1.258925+1 8.801125+0 1.584893+1 1.130568+1 1.995262+1 1.449421+1 2.511886+1 1.854970+1 3.162278+1 2.370366+1 3.981072+1 3.024915+1 5.011872+1 3.855639+1 6.309573+1 4.909384+1 7.943282+1 6.245329+1 1.000000+2 7.938307+1 1.258925+2 1.008284+2 1.584893+2 1.279835+2 1.995262+2 1.623572+2 2.511886+2 2.058545+2 3.162278+2 2.608811+2 3.981072+2 3.304760+2 5.011872+2 4.184728+2 6.309573+2 5.297138+2 7.943282+2 6.703082+2 1.000000+3 8.479724+2 1.258925+3 1.072434+3 1.584893+3 1.355973+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 7.530000-6 1.722320+6 7.600000-6 1.630228+6 7.762471-6 1.415276+6 8.000000-6 1.150546+6 8.222426-6 9.458783+5 8.420000-6 7.934640+5 8.609938-6 6.688789+5 8.810489-6 5.569272+5 9.015711-6 4.603220+5 9.200000-6 3.866200+5 9.350000-6 3.344800+5 9.500000-6 2.885340+5 9.660509-6 2.454679+5 9.772372-6 2.187764+5 9.930000-6 1.853152+5 1.005000-5 1.627674+5 1.020000-5 1.377692+5 1.031000-5 1.214696+5 1.044000-5 1.042155+5 1.055000-5 9.116260+4 1.065000-5 8.042500+4 1.077000-5 6.884280+4 1.088000-5 5.937200+4 1.096478-5 5.276273+4 1.105000-5 4.668200+4 1.115000-5 4.021760+4 1.123000-5 3.553300+4 1.131000-5 3.125320+4 1.138000-5 2.782200+4 1.146000-5 2.423640+4 1.154000-5 2.099000+4 1.161449-5 1.825270+4 1.168000-5 1.606046+4 1.174898-5 1.395890+4 1.182000-5 1.200396+4 1.188502-5 1.039086+4 1.195000-5 8.938420+3 1.201500-5 7.637360+3 1.207000-5 6.649180+3 1.213000-5 5.683680+3 1.218000-5 4.964840+3 1.224000-5 4.200480+3 1.230269-5 3.511202+3 1.242000-5 2.502560+3 1.247000-5 2.177300+3 1.251000-5 1.959620+3 1.253500-5 1.842160+3 1.256500-5 1.719600+3 1.259000-5 1.632454+3 1.262000-5 1.545448+3 1.264200-5 1.493558+3 1.266000-5 1.458460+3 1.268500-5 1.420498+3 1.271000-5 1.394836+3 1.272700-5 1.384284+3 1.274000-5 1.381140+3 1.274000-5 1.912059+6 1.275000-5 1.912014+6 1.277000-5 1.911931+6 1.279500-5 1.911837+6 1.282000-5 1.911756+6 1.284200-5 1.911693+6 1.287000-5 1.911625+6 1.290000-5 1.911568+6 1.291000-5 1.911552+6 1.291000-5 3.172349+6 1.292000-5 3.172273+6 1.295000-5 3.172055+6 1.299000-5 3.171787+6 1.303167-5 3.171535+6 1.317000-5 3.170884+6 1.322000-5 3.172265+6 1.330000-5 3.174530+6 1.335000-5 3.175977+6 1.337000-5 3.176924+6 1.342000-5 3.179300+6 1.348963-5 3.182640+6 1.355000-5 3.185564+6 1.360000-5 3.188003+6 1.361000-5 3.188825+6 1.368000-5 3.194575+6 1.370000-5 3.196217+6 1.376000-5 3.202406+6 1.382000-5 3.208601+6 1.390000-5 3.216876+6 1.397000-5 3.224130+6 1.405000-5 3.232431+6 1.412538-5 3.240252+6 1.415000-5 3.243509+6 1.420000-5 3.250094+6 1.425000-5 3.257680+6 1.435000-5 3.272830+6 1.445800-5 3.289191+6 1.455000-5 3.303122+6 1.462177-5 3.313975+6 1.465000-5 3.318879+6 1.470000-5 3.327526+6 1.480000-5 3.346495+6 1.495000-5 3.374896+6 1.507000-5 3.397596+6 1.513561-5 3.409975+6 1.522000-5 3.427693+6 1.531087-5 3.446709+6 1.540000-5 3.466837+6 1.560000-5 3.511907+6 1.580000-5 3.556930+6 1.584893-5 3.567907+6 1.603245-5 3.612834+6 1.621810-5 3.660690+6 1.640590-5 3.709102+6 1.670000-5 3.784901+6 1.678804-5 3.807539+6 1.690000-5 3.838176+6 1.700000-5 3.866626+6 1.730000-5 3.951906+6 1.760000-5 4.037294+6 1.785000-5 4.108525+6 1.800000-5 4.151241+6 1.819701-5 4.211012+6 1.862087-5 4.339804+6 1.905461-5 4.472033+6 1.950000-5 4.608267+6 2.000000-5 4.761752+6 2.055000-5 4.931257+6 2.113489-5 5.112295+6 2.170000-5 5.287987+6 2.238721-5 5.502691+6 2.264644-5 5.583901+6 2.317395-5 5.744522+6 2.400000-5 5.991408+6 2.483133-5 6.240882+6 2.500000-5 6.289402+6 2.511886-5 6.323523+6 2.610000-5 6.597600+6 2.691535-5 6.825643+6 2.710800-5 6.876663+6 2.730000-5 6.925551+6 2.851018-5 7.232995+6 2.884032-5 7.316690+6 2.900000-5 7.354631+6 3.019952-5 7.625937+6 3.054921-5 7.704637+6 3.090295-5 7.778085+6 3.198895-5 7.990654+6 3.235937-5 8.062639+6 3.273407-5 8.128391+6 3.400000-5 8.332859+6 3.427678-5 8.377107+6 3.467369-5 8.432697+6 3.630781-5 8.637432+6 3.650000-5 8.657511+6 3.801894-5 8.795877+6 3.850000-5 8.830749+6 3.900000-5 8.860870+6 4.000000-5 8.919967+6 4.027170-5 8.930688+6 4.216965-5 8.984217+6 4.220000-5 8.985048+6 4.415704-5 8.985894+6 4.570882-5 8.947435+6 4.650000-5 8.928217+6 4.677351-5 8.919083+6 4.900000-5 8.812740+6 4.954502-5 8.782986+6 5.188000-5 8.629181+6 5.248075-5 8.586447+6 5.400000-5 8.465978+6 5.500000-5 8.389242+6 5.559043-5 8.340901+6 5.888437-5 8.057451+6 5.900000-5 8.047947+6 6.309573-5 7.678026+6 6.382635-5 7.608029+6 6.645000-5 7.367817+6 6.645000-5 8.194197+6 6.720000-5 8.107906+6 6.800000-5 8.013226+6 6.804000-5 8.007918+6 6.804000-5 8.403898+6 6.870000-5 8.309976+6 6.900000-5 8.267023+6 6.918310-5 8.240359+6 6.950000-5 8.194641+6 7.000000-5 8.122337+6 7.030000-5 8.078759+6 7.150000-5 7.907286+6 7.328245-5 7.664630+6 7.450000-5 7.497395+6 7.585776-5 7.323316+6 7.620000-5 7.280815+6 7.650000-5 7.244839+6 7.760000-5 7.117153+6 7.800000-5 7.072847+6 7.852356-5 7.016341+6 7.950000-5 6.907729+6 8.080000-5 6.772726+6 8.190000-5 6.666233+6 8.317638-5 6.550808+6 8.413951-5 6.465341+6 8.450000-5 6.432845+6 8.570000-5 6.330394+6 8.709636-5 6.218976+6 8.730000-5 6.203249+6 8.810489-5 6.143344+6 8.850000-5 6.112924+6 8.912509-5 6.065986+6 9.015711-5 5.988938+6 9.120108-5 5.913885+6 9.150000-5 5.893178+6 9.225714-5 5.841954+6 9.332543-5 5.771418+6 9.350000-5 5.759453+6 9.400000-5 5.725783+6 9.500000-5 5.660840+6 9.549926-5 5.627891+6 9.800000-5 5.470977+6 9.900000-5 5.411621+6 1.010100-4 5.291411+6 1.010100-4 5.639943+6 1.011579-4 5.631263+6 1.035142-4 5.493280+6 1.059254-4 5.361466+6 1.060000-4 5.357344+6 1.071519-4 5.294197+6 1.100000-4 5.141095+6 1.109175-4 5.094122+6 1.122018-4 5.029486+6 1.135011-4 4.963675+6 1.150000-4 4.890005+6 1.161449-4 4.833881+6 1.188502-4 4.705835+6 1.202264-4 4.644112+6 1.205000-4 4.631676+6 1.216186-4 4.581326+6 1.230269-4 4.518919+6 1.258925-4 4.395826+6 1.260000-4 4.391337+6 1.300000-4 4.229540+6 1.303167-4 4.216969+6 1.315000-4 4.170744+6 1.333521-4 4.098882+6 1.364583-4 3.982778+6 1.396368-4 3.869086+6 1.412538-4 3.813982+6 1.428894-4 3.757149+6 1.445440-4 3.701610+6 1.462177-4 3.646432+6 1.479108-4 3.592030+6 1.513561-4 3.484454+6 1.520000-4 3.464671+6 1.548817-4 3.378285+6 1.566751-4 3.325776+6 1.584893-4 3.273219+6 1.621810-4 3.170605+6 1.650000-4 3.095291+6 1.659587-4 3.069882+6 1.698244-4 2.970039+6 1.737801-4 2.871302+6 1.760000-4 2.818270+6 1.778279-4 2.775793+6 1.800000-4 2.726029+6 1.819701-4 2.681582+6 1.840772-4 2.634962+6 1.905461-4 2.500087+6 1.950000-4 2.411228+6 1.980000-4 2.354219+6 2.018366-4 2.284092+6 2.065380-4 2.201959+6 2.089296-4 2.161940+6 2.113489-4 2.122132+6 2.150000-4 2.064354+6 2.162719-4 2.044530+6 2.190000-4 2.002777+6 2.290868-4 1.859987+6 2.317395-4 1.824792+6 2.344229-4 1.789602+6 2.371374-4 1.755051+6 2.450000-4 1.660757+6 2.454709-4 1.655291+6 2.540973-4 1.559672+6 2.580000-4 1.519336+6 2.600160-4 1.498821+6 2.630268-4 1.468809+6 2.691535-4 1.409808+6 2.754229-4 1.353527+6 2.800000-4 1.314645+6 2.818383-4 1.299334+6 2.851018-4 1.272461+6 3.019952-4 1.145949+6 3.054921-4 1.122215+6 3.162278-4 1.052491+6 3.280000-4 9.833662+5 3.311311-4 9.661041+5 3.400000-4 9.190269+5 3.467369-4 8.855824+5 3.507519-4 8.665138+5 3.548134-4 8.478975+5 3.589219-4 8.294501+5 3.758374-4 7.588154+5 3.801894-4 7.421523+5 3.850000-4 7.242686+5 3.890451-4 7.096921+5 3.935501-4 6.937442+5 4.073803-4 6.479365+5 4.120975-4 6.334070+5 4.168694-4 6.191231+5 4.216965-4 6.051331+5 4.315191-4 5.777979+5 4.365158-4 5.645747+5 4.518559-4 5.266562+5 4.623810-4 5.027292+5 4.841724-4 4.574979+5 4.897788-4 4.468429+5 4.954502-4 4.364534+5 5.000000-4 4.283243+5 5.069907-4 4.162371+5 5.188000-4 3.966811+5 5.370318-4 3.690931+5 5.400000-4 3.648672+5 5.559043-4 3.432776+5 5.623413-4 3.349644+5 5.821032-4 3.111673+5 5.956621-4 2.962617+5 6.025596-4 2.890440+5 6.165950-4 2.751156+5 6.500000-4 2.454251+5 6.531306-4 2.428836+5 6.760830-4 2.252607+5 6.839116-4 2.195996+5 7.161434-4 1.984008+5 7.206900-4 1.956392+5 7.206900-4 5.753592+5 7.208600-4 5.853247+5 7.211500-4 6.061030+5 7.214500-4 6.266872+5 7.217500-4 6.464596+5 7.222000-4 6.744628+5 7.226500-4 7.008504+5 7.230000-4 7.202541+5 7.235000-4 7.465851+5 7.242000-4 7.805864+5 7.248000-4 8.073041+5 7.253000-4 8.280415+5 7.261000-4 8.585596+5 7.269000-4 8.860074+5 7.277000-4 9.105529+5 7.285000-4 9.324521+5 7.295000-4 9.563895+5 7.307000-4 9.805666+5 7.319000-4 1.000311+6 7.330000-4 1.014945+6 7.335500-4 1.020527+6 7.335500-4 1.203337+6 7.337000-4 1.209206+6 7.340500-4 1.225095+6 7.343500-4 1.238225+6 7.345000-4 1.244541+6 7.346500-4 1.250530+6 7.351000-4 1.267680+6 7.355500-4 1.283913+6 7.357000-4 1.289059+6 7.360000-4 1.298803+6 7.365000-4 1.314069+6 7.372000-4 1.334069+6 7.373000-4 1.336739+6 7.377000-4 1.346539+6 7.385000-4 1.364655+6 7.392000-4 1.379172+6 7.394100-4 1.383108+6 7.400000-4 1.393060+6 7.410000-4 1.407961+6 7.413102-4 1.411939+6 7.415000-4 1.414392+6 7.420000-4 1.419963+6 7.430000-4 1.429292+6 7.440000-4 1.437027+6 7.450000-4 1.442968+6 7.454800-4 1.445138+6 7.470000-4 1.449100+6 7.485000-4 1.450647+6 7.500000-4 1.450265+6 7.523000-4 1.445663+6 7.550000-4 1.437046+6 7.585776-4 1.422344+6 7.673615-4 1.384154+6 7.943282-4 1.275630+6 8.000000-4 1.254343+6 8.280000-4 1.156345+6 8.317638-4 1.143680+6 8.429600-4 1.107085+6 8.429600-4 1.254195+6 8.609938-4 1.194892+6 8.810489-4 1.134692+6 9.120108-4 1.050150+6 9.225714-4 1.023040+6 9.332543-4 9.964304+5 9.440609-4 9.690998+5 9.549926-4 9.425358+5 9.660509-4 9.168385+5 9.700000-4 9.079058+5 9.772372-4 8.918495+5 9.885531-4 8.681921+5 1.023293-3 8.006090+5 1.047129-3 7.585230+5 1.059254-3 7.381855+5 1.083927-3 6.991688+5 1.096478-3 6.801606+5 1.135011-3 6.262546+5 1.150000-3 6.069254+5 1.202264-3 5.452135+5 1.216186-3 5.299801+5 1.244515-3 5.007919+5 1.258925-3 4.868212+5 1.318257-3 4.343631+5 1.333521-3 4.220732+5 1.348963-3 4.101338+5 1.364583-3 3.985422+5 1.380384-3 3.872869+5 1.412538-3 3.657349+5 1.428894-3 3.554140+5 1.496236-3 3.167898+5 1.513561-3 3.077602+5 1.548817-3 2.902601+5 1.570000-3 2.803693+5 1.584893-3 2.736955+5 1.603245-3 2.657698+5 1.659587-3 2.433753+5 1.678804-3 2.363179+5 1.737801-3 2.162149+5 1.757924-3 2.099095+5 1.778279-3 2.037936+5 1.800000-3 1.975364+5 1.819701-3 1.920633+5 1.862087-3 1.809934+5 1.905461-3 1.705718+5 1.949845-3 1.607139+5 1.950000-3 1.606809+5 1.972423-3 1.559533+5 2.000000-3 1.503726+5 2.018366-3 1.468107+5 2.065380-3 1.382101+5 2.162719-3 1.225288+5 2.187762-3 1.188895+5 2.213095-3 1.153598+5 2.238721-3 1.119355+5 2.264644-3 1.085908+5 2.290868-3 1.053457+5 2.344229-3 9.911273+4 2.454709-3 8.775915+4 2.483133-3 8.512375+4 2.540973-3 8.009229+4 2.570396-3 7.767389+4 2.630268-3 7.302858+4 2.660725-3 7.081249+4 2.818383-3 6.072555+4 2.851018-3 5.889171+4 2.917427-3 5.538032+4 2.951209-3 5.369164+4 3.019952-3 5.044949+4 3.090295-3 4.740853+4 3.198895-3 4.319335+4 3.235937-3 4.187508+4 3.273407-3 4.059388+4 3.311311-3 3.935303+4 3.349654-3 3.815015+4 3.388442-3 3.697775+4 3.427678-3 3.583449+4 3.589219-3 3.161346+4 3.630781-3 3.063971+4 3.715352-3 2.878308+4 3.758374-3 2.789553+4 3.801894-3 2.703546+4 3.890451-3 2.538467+4 4.120975-3 2.167543+4 4.168694-3 2.100296+4 4.216965-3 2.035137+4 4.265795-3 1.972058+4 4.315191-3 1.910944+4 4.365158-3 1.851594+4 4.415704-3 1.793694+4 4.466836-3 1.737649+4 4.677351-3 1.529792+4 4.841724-3 1.390777+4 5.011872-3 1.264527+4 5.069907-3 1.224694+4 5.128614-3 1.186150+4 5.188000-3 1.148849+4 5.370318-3 1.043474+4 5.559043-3 9.479915+3 5.623413-3 9.181826+3 5.754399-3 8.613638+3 5.821032-3 8.341056+3 5.888437-3 8.076690+3 5.956621-3 7.820928+3 6.095369-3 7.334033+3 6.165950-3 7.101246+3 6.309573-3 6.658064+3 6.531306-3 6.045628+3 6.606934-3 5.854405+3 6.760830-3 5.487290+3 6.839116-3 5.312296+3 6.918310-3 5.143024+3 6.998420-3 4.979274+3 7.079458-3 4.820871+3 7.083400-3 4.813343+3 7.083400-3 3.835082+4 7.161434-3 3.723811+4 7.220000-3 3.643154+4 7.244360-3 3.613033+4 7.500000-3 3.317098+4 7.585776-3 3.222079+4 7.673615-3 3.128653+4 7.852356-3 2.949674+4 8.128305-3 2.700248+4 8.222426-3 2.621909+4 8.317638-3 2.545850+4 8.413951-3 2.471974+4 8.511380-3 2.400249+4 8.912509-3 2.124755+4 9.120108-3 1.998984+4 9.549926-3 1.769367+4 9.660509-3 1.716222+4 9.772372-3 1.664659+4 1.035142-2 1.429241+4 1.047129-2 1.386277+4 1.059254-2 1.344605+4 1.109175-2 1.190085+4 1.122018-2 1.153378+4 1.135011-2 1.117803+4 1.148154-2 1.083315+4 1.202264-2 9.557164+3 1.230269-2 8.976162+3 1.244515-2 8.699041+3 1.303167-2 7.673588+3 1.318257-2 7.436749+3 1.350000-2 6.970219+3 1.380384-2 6.560302+3 1.400000-2 6.313040+3 1.412538-2 6.158367+3 1.445440-2 5.775814+3 1.479108-2 5.417029+3 1.531087-2 4.920220+3 1.548817-2 4.764966+3 1.584893-2 4.469048+3 1.603245-2 4.328070+3 1.659587-2 3.931221+3 1.698244-2 3.686858+3 1.737801-2 3.457684+3 1.757924-2 3.346573+3 1.778279-2 3.239044+3 1.798871-2 3.134959+3 1.819701-2 3.034224+3 1.905461-2 2.662682+3 1.927525-2 2.577134+3 1.949845-2 2.494338+3 2.000000-2 2.320808+3 2.137962-2 1.920415+3 2.162719-2 1.857752+3 2.290868-2 1.573827+3 2.300000-2 1.555889+3 2.371374-2 1.424621+3 2.426610-2 1.333083+3 2.540973-2 1.167296+3 2.570396-2 1.129182+3 2.600160-2 1.092313+3 2.630268-2 1.056201+3 2.691535-2 9.875236+2 2.722701-2 9.548787+2 2.754229-2 9.232804+2 2.786121-2 8.927302+2 2.818383-2 8.631879+2 3.019952-2 7.053697+2 3.126079-2 6.376485+2 3.162278-2 6.165527+2 3.235937-2 5.759701+2 3.273407-2 5.566735+2 3.349654-2 5.199996+2 3.388442-2 5.025768+2 3.467369-2 4.694638+2 3.630781-2 4.096403+2 3.845918-2 3.454741+2 3.890451-2 3.339025+2 4.027170-2 3.010856+2 4.168694-2 2.714925+2 4.365158-2 2.365130+2 4.570882-2 2.060416+2 4.731513-2 1.857949+2 4.841724-2 1.734039+2 4.897788-2 1.674637+2 5.069907-2 1.508348+2 5.248075-2 1.358581+2 5.432503-2 1.223694+2 5.821032-2 9.927893+1 6.025596-2 8.941514+1 6.165950-2 8.338953+1 6.531306-2 6.993328+1 7.161434-2 5.277333+1 7.328245-2 4.918697+1 7.673615-2 4.272417+1 7.943282-2 3.844050+1 8.035261-2 3.711032+1 8.128305-2 3.582621+1 8.317638-2 3.337465+1 8.413951-2 3.221256+1 8.511380-2 3.109093+1 8.709636-2 2.896351+1 9.120108-2 2.513570+1 9.332543-2 2.341597+1 9.660509-2 2.105453+1 9.885531-2 1.961342+1 1.023293-1 1.763463+1 1.047129-1 1.642759+1 1.071519-1 1.530325+1 1.083927-1 1.477024+1 1.135011-1 1.281772+1 1.148154-1 1.237133+1 1.230269-1 1.000132+1 1.244515-1 9.653063+0 1.258925-1 9.316953+0 1.288250-1 8.679394+0 1.364583-1 7.270044+0 1.412538-1 6.536819+0 1.445440-1 6.089579+0 1.479108-1 5.672961+0 1.513561-1 5.284844+0 1.603245-1 4.426841+0 1.621810-1 4.272739+0 1.659587-1 3.983220+0 1.678804-1 3.845920+0 1.717908-1 3.585368+0 1.737801-1 3.461785+0 1.778279-1 3.227465+0 1.798871-1 3.116318+0 1.840772-1 2.905383+0 1.927525-1 2.525387+0 1.972423-1 2.354461+0 2.000000-1 2.257043+0 2.089296-1 1.976089+0 2.137962-1 1.842353+0 2.162719-1 1.779756+0 2.187762-1 1.719287+0 2.213095-1 1.660875+0 2.213400-1 1.660187+0 2.238721-1 1.604450+0 2.344229-1 1.397510+0 2.371374-1 1.350088+0 2.454709-1 1.217265+0 2.511886-1 1.136065+0 2.570396-1 1.061396+0 2.600160-1 1.025923+0 2.630268-1 9.916366-1 2.722701-1 8.956281-1 2.754229-1 8.657384-1 2.786121-1 8.368481-1 2.818383-1 8.089214-1 2.884032-1 7.558331-1 2.917427-1 7.310175-1 3.000000-1 6.741993-1 3.019952-1 6.613680-1 3.090295-1 6.187278-1 3.126079-1 5.984505-1 3.162278-1 5.788374-1 3.273407-1 5.237732-1 3.311311-1 5.066083-1 3.427678-1 4.592938-1 3.467369-1 4.445507-1 3.548134-1 4.164708-1 3.630781-1 3.901645-1 3.715352-1 3.655215-1 3.801894-1 3.429025-1 3.845918-1 3.321236-1 3.981072-1 3.018330-1 4.120975-1 2.743066-1 4.168694-1 2.657008-1 4.265795-1 2.496613-1 4.315191-1 2.420237-1 4.365158-1 2.346204-1 4.466836-1 2.204859-1 4.623810-1 2.008650-1 4.677351-1 1.948704-1 4.731513-1 1.890552-1 4.786301-1 1.834260-1 4.841724-1 1.779643-1 5.069907-1 1.576966-1 5.128614-1 1.530014-1 5.188000-1 1.485588-1 5.248075-1 1.442451-1 5.308844-1 1.400664-1 5.432503-1 1.320685-1 5.495409-1 1.282425-1 5.623413-1 1.209202-1 5.688529-1 1.175068-1 5.754399-1 1.141910-1 5.821032-1 1.109764-1 5.888437-1 1.078523-1 5.956621-1 1.048162-1 6.165950-1 9.621147-2 6.237348-1 9.357907-2 6.309573-1 9.101966-2 6.382635-1 8.853677-2 6.456542-1 8.612165-2 6.683439-1 7.926478-2 6.760830-1 7.710271-2 6.839117-1 7.505907-2 6.918310-1 7.307041-2 6.998420-1 7.114029-2 7.244360-1 6.565080-2 7.413102-1 6.222859-2 7.498942-1 6.063299-2 7.585776-1 5.908322-2 7.852356-1 5.466787-2 8.128305-1 5.058251-2 8.222427-1 4.932810-2 8.317638-1 4.810821-2 8.609938-1 4.462812-2 8.709636-1 4.352504-2 8.912509-1 4.139999-2 9.015711-1 4.041174-2 9.120108-1 3.944708-2 9.225714-1 3.850596-2 9.332543-1 3.758730-2 9.440609-1 3.669368-2 9.660509-1 3.496966-2 9.772372-1 3.416884-2 9.885531-1 3.338636-2 1.011579+0 3.187547-2 1.023293+0 3.114786-2 1.035142+0 3.043694-2 1.047129+0 2.974220-2 1.059254+0 2.906340-2 1.096478+0 2.711856-2 1.109175+0 2.651583-2 1.135011+0 2.535032-2 1.148154+0 2.478913-2 1.161449+0 2.424040-2 1.174898+0 2.370386-2 1.202264+0 2.266617-2 1.230269+0 2.170506-2 1.250000+0 2.106488-2 1.258925+0 2.078478-2 1.288250+0 1.990662-2 1.333521+0 1.865853-2 1.364583+0 1.789607-2 1.396368+0 1.716483-2 1.428894+0 1.646592-2 1.479108+0 1.547059-2 1.513561+0 1.486136-2 1.531087+0 1.456582-2 1.548817+0 1.427614-2 1.566751+0 1.399327-2 1.621810+0 1.317787-2 1.640590+0 1.291677-2 1.659587+0 1.266931-2 1.678804+0 1.242660-2 1.737801+0 1.172605-2 1.757924+0 1.150223-2 1.798871+0 1.106735-2 1.819701+0 1.085611-2 1.840772+0 1.064891-2 1.862087+0 1.045229-2 1.883649+0 1.025930-2 1.949845+0 9.701490-3 1.972423+0 9.522994-3 2.000000+0 9.312104-3 2.044000+0 8.990928-3 2.065380+0 8.841293-3 2.089296+0 8.684126-3 2.113489+0 8.529753-3 2.187762+0 8.082936-3 2.213095+0 7.939785-3 2.264644+0 7.661064-3 2.317395+0 7.392121-3 2.344229+0 7.261214-3 2.371374+0 7.137010-3 2.398833+0 7.014933-3 2.483133+0 6.661110-3 2.511886+0 6.547603-3 2.570396+0 6.326369-3 2.630268+0 6.112613-3 2.660725+0 6.008459-3 2.691535+0 5.909431-3 2.722701+0 5.812038-3 2.818383+0 5.529397-3 2.851018+0 5.438313-3 2.884032+0 5.349006-3 2.951209+0 5.174783-3 3.019952+0 5.006233-3 3.054921+0 4.924030-3 3.090295+0 4.845730-3 3.126079+0 4.768674-3 3.273407+0 4.472532-3 3.311311+0 4.401448-3 3.349654+0 4.331703-3 3.427678+0 4.195518-3 3.507519+0 4.063615-3 3.548134+0 3.999228-3 3.589219+0 3.937887-3 3.630781+0 3.877486-3 3.801894+0 3.645024-3 3.845918+0 3.589142-3 3.890451+0 3.534273-3 4.027170+0 3.374655-3 4.120975+0 3.272268-3 4.168694+0 3.222245-3 4.216965+0 3.174510-3 4.265795+0 3.127481-3 4.466836+0 2.946243-3 4.518559+0 2.902617-3 4.570882+0 2.859759-3 4.731513+0 2.734953-3 4.841724+0 2.654791-3 4.954502+0 2.576978-3 5.011872+0 2.540121-3 5.069907+0 2.503790-3 5.308844+0 2.363601-3 5.370318+0 2.329811-3 5.432503+0 2.296598-3 5.623413+0 2.199777-3 5.754399+0 2.137508-3 5.956621+0 2.047395-3 6.025596+0 2.019025-3 6.095369+0 1.991048-3 6.456542+0 1.856880-3 6.531306+0 1.831161-3 6.606934+0 1.805862-3 6.839116+0 1.732045-3 7.079458+0 1.661245-3 7.328245+0 1.593340-3 7.413102+0 1.571932-3 7.498942+0 1.550810-3 8.000000+0 1.437326-3 8.035261+0 1.429921-3 8.128305+0 1.410770-3 8.317638+0 1.373234-3 8.609938+0 1.318796-3 9.015711+0 1.249554-3 9.120108+0 1.233212-3 9.225714+0 1.217085-3 1.035142+1 1.066973-3 1.047129+1 1.053024-3 1.059254+1 1.039289-3 1.083927+1 1.012356-3 1.122018+1 9.732597-4 1.161449+1 9.356721-4 1.174898+1 9.237730-4 1.318257+1 8.128007-4 1.333521+1 8.024682-4 1.364583+1 7.822353-4 1.412538+1 7.528395-4 1.479108+1 7.153572-4 1.531087+1 6.884752-4 1.548817+1 6.799242-4 1.757924+1 5.925979-4 1.778279+1 5.852407-4 1.840772+1 5.637531-4 1.905461+1 5.430551-4 2.000000+1 5.153101-4 2.065380+1 4.976676-4 2.089296+1 4.916175-4 2.113489+1 4.856410-4 2.454709+1 4.142498-4 2.511886+1 4.042418-4 2.630268+1 3.849752-4 2.754229+1 3.666275-4 2.917427+1 3.449176-4 3.019952+1 3.325138-4 3.054921+1 3.285476-4 3.090295+1 3.246288-4 3.548134+1 2.810949-4 3.672823+1 2.711582-4 3.935501+1 2.523521-4 4.216965+1 2.348508-4 4.518559+1 2.185633-4 4.677351+1 2.108482-4 4.731513+1 2.083685-4 4.786301+1 2.059180-4 6.000000+1 1.632462-4 6.237348+1 1.568679-4 6.606934+1 1.478709-4 6.839116+1 1.427224-4 7.161434+1 1.361356-4 7.244360+1 1.345369-4 7.328245+1 1.329723-4 7.413102+1 1.314259-4 1.188502+2 8.135598-5 1.244515+2 7.763728-5 1.318257+2 7.323016-5 1.364583+2 7.070694-5 1.428894+2 6.747734-5 1.445440+2 6.669325-5 1.462177+2 6.592369-5 1.479108+2 6.516300-5 2.371374+2 4.048951-5 2.483133+2 3.865292-5 2.630268+2 3.647487-5 2.722701+2 3.522741-5 2.851018+2 3.363025-5 2.884032+2 3.324239-5 2.917427+2 3.286072-5 2.951209+2 3.248343-5 9.440609+2 1.011874-5 9.885531+2 9.661989-6 1.047129+3 9.120065-6 1.083927+3 8.809618-6 1.135011+3 8.412061-6 1.148154+3 8.315506-6 1.161449+3 8.220289-6 1.174898+3 8.126162-6 1.000000+5 9.534007-8 1 26000 7 0 5.584700+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 7.530000-6 7.530000-6 1.274000-5 7.530000-6 1.274000-5 1.273624-5 1.291000-5 1.273563-5 1.291000-5 1.280493-5 1.862087-5 1.270518-5 2.900000-5 1.271018-5 6.645000-5 1.274468-5 6.645000-5 1.398939-5 6.804000-5 1.394399-5 6.804000-5 1.447474-5 7.650000-5 1.404963-5 7.950000-5 1.395919-5 8.317638-5 1.391899-5 8.850000-5 1.397340-5 9.549926-5 1.417099-5 1.010100-4 1.437852-5 1.010100-4 1.567981-5 1.333521-4 1.728961-5 1.520000-4 1.810267-5 1.698244-4 1.877075-5 1.950000-4 1.956630-5 2.190000-4 2.021815-5 2.454709-4 2.083047-5 2.818383-4 2.151519-5 3.311311-4 2.226790-5 3.890451-4 2.295857-5 4.623810-4 2.362628-5 5.400000-4 2.417667-5 6.531306-4 2.478842-5 7.206900-4 2.508135-5 7.206900-4 3.715264-5 7.217500-4 3.785594-5 7.230000-4 3.844138-5 7.248000-4 3.899891-5 7.269000-4 3.941462-5 7.307000-4 3.984016-5 7.335500-4 4.000960-5 7.335500-4 4.055566-5 7.377000-4 4.090889-5 7.454800-4 4.115111-5 7.673615-4 4.121511-5 8.429600-4 4.122184-5 8.429600-4 4.392209-5 1.244515-3 4.504799-5 1.862087-3 4.641752-5 2.660725-3 4.779994-5 3.715352-3 4.921403-5 5.011872-3 5.054202-5 6.606934-3 5.176630-5 7.083400-3 5.206229-5 7.083400-3 7.142328-5 1.148154-2 7.192778-5 2.300000-2 7.233830-5 6.531306-2 7.261325-5 7.585776-1 7.274297-5 1.000000+5 7.274722-5 1 26000 7 7 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.530000-6 0.0 6.645000-5 0.0 6.645000-5 1.30600-10 6.720000-5 1.28679-10 6.804000-5 1.25809-10 6.804000-5 1.83468-10 6.918310-5 1.78122-10 7.030000-5 1.71923-10 7.328245-5 1.54201-10 7.450000-5 1.47593-10 7.620000-5 1.39529-10 7.760000-5 1.34079-10 7.852356-5 1.31124-10 7.950000-5 1.28647-10 8.080000-5 1.26266-10 8.190000-5 1.24998-10 8.317638-5 1.24330-10 8.450000-5 1.24604-10 8.570000-5 1.25571-10 8.730000-5 1.27754-10 8.912509-5 1.31375-10 9.150000-5 1.37647-10 9.400000-5 1.45564-10 9.549926-5 1.50980-10 9.900000-5 1.64555-10 1.010100-4 1.73018-10 1.010100-4 2.46036-10 1.071519-4 2.75449-10 1.216186-4 3.46693-10 1.260000-4 3.67954-10 1.364583-4 4.16308-10 1.462177-4 4.57697-10 1.566751-4 4.98469-10 1.659587-4 5.31541-10 1.778279-4 5.70084-10 1.905461-4 6.08268-10 2.065380-4 6.51944-10 2.190000-4 6.83053-10 2.344229-4 7.17767-10 2.454709-4 7.40771-10 2.691535-4 7.83871-10 2.851018-4 8.09584-10 3.054921-4 8.39973-10 3.311311-4 8.73910-10 3.589219-4 9.05782-10 3.935501-4 9.39637-10 4.365158-4 9.74981-10 4.841724-4 1.007697-9 5.400000-4 1.039241-9 6.165950-4 1.073486-9 6.839116-4 1.097417-9 7.206900-4 1.108712-9 7.206900-4 1.810610-6 7.214500-4 1.888963-6 7.217500-4 1.915843-6 7.222000-4 1.951274-6 7.230000-4 2.003418-6 7.235000-4 2.030589-6 7.242000-4 2.063073-6 7.253000-4 2.104183-6 7.269000-4 2.148873-6 7.285000-4 2.181200-6 7.307000-4 2.212311-6 7.335500-4 2.237455-6 7.335500-4 2.387194-6 7.355500-4 2.435505-6 7.377000-4 2.470971-6 7.410000-4 2.505762-6 7.454800-4 2.531302-6 7.523000-4 2.545955-6 8.000000-4 2.546625-6 8.429600-4 2.544120-6 8.429600-4 2.600759-6 1.570000-3 2.605666-6 6.606934-3 2.604807-6 7.083400-3 2.605122-6 7.083400-3 1.951668-3 9.120108-3 1.968558-3 1.244515-2 1.982934-3 2.000000-2 1.996542-3 3.890451-2 2.005441-3 1.513561-1 2.009320-3 1.000000+5 2.010016-3 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.530000-6 0.0 1.274000-5 5.210000-6 1.274000-5 3.763345-9 1.277000-5 3.376570-8 1.287000-5 1.341025-7 1.291000-5 1.743692-7 1.291000-5 1.050691-7 1.317000-5 3.671367-7 1.370000-5 9.056280-7 1.670000-5 3.971594-6 1.950000-5 6.800391-6 6.645000-5 5.370532-5 6.645000-5 5.246048-5 6.804000-5 5.409588-5 6.804000-5 5.356508-5 7.950000-5 6.554068-5 9.015711-5 7.614645-5 1.010100-4 8.663131-5 1.010100-4 8.532994-5 1.584893-4 1.401290-4 2.454709-4 2.246397-4 4.365158-4 4.131044-4 7.206900-4 6.956075-4 7.206900-4 6.817268-4 7.285000-4 6.866875-4 7.335500-4 6.913029-4 7.335500-4 6.906071-4 8.429600-4 7.991940-4 8.429600-4 7.964372-4 7.083400-3 7.028733-3 7.083400-3 5.060309-3 1.412538-2 1.206561-2 1.000000+5 1.000000+5 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 7.083400-3 3.353748+4 7.220000-3 3.186980+4 7.500000-3 2.907220+4 8.511380-3 2.113555+4 1.109175-2 1.055175+4 1.400000-2 5.622160+3 1.737801-2 3.088921+3 2.137962-2 1.719430+3 2.600160-2 9.795263+2 3.162278-2 5.535431+2 3.890451-2 3.000508+2 4.841724-2 1.559376+2 6.165950-2 7.503290+1 8.128305-2 3.224907+1 1.621810-1 3.846858+0 2.137962-1 1.658710+0 2.511886-1 1.022826+0 2.884032-1 6.805027-1 3.311311-1 4.561191-1 3.715352-1 3.290894-1 4.168694-1 2.392194-1 4.623810-1 1.808466-1 5.128614-1 1.377576-1 5.623413-1 1.088767-1 6.165950-1 8.663317-2 6.760830-1 6.943123-2 7.413102-1 5.603723-2 8.128305-1 4.554585-2 8.912509-1 3.727528-2 9.660509-1 3.149138-2 1.096478+0 2.442540-2 1.202264+0 2.041457-2 1.333521+0 1.680433-2 1.479108+0 1.393275-2 1.640590+0 1.163254-2 1.840772+0 9.590275-3 2.065380+0 7.962432-3 2.344229+0 6.539388-3 2.660725+0 5.411142-3 3.054921+0 4.434517-3 3.548134+0 3.601675-3 4.168694+0 2.901931-3 4.954502+0 2.320790-3 5.956621+0 1.843857-3 7.328245+0 1.434948-3 9.015711+0 1.125327-3 1.161449+1 8.426556-4 1.531087+1 6.200337-4 2.065380+1 4.481921-4 3.019952+1 2.994584-4 4.677351+1 1.898867-4 7.244360+1 1.211673-4 1.445440+2 6.006649-5 2.884032+2 2.993936-5 1.148154+3 7.489432-6 1.000000+5 8.587000-8 1 26000 7 0 5.584700+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 7.083400-3 7.420200-5 1.000000+5 7.420200-5 1 26000 7 7 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 7.083400-3 2.231400-3 1.000000+5 2.231400-3 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 7.083400-3 4.777798-3 1.000000+5 1.000000+5 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 8.429600-4 1.471096+5 9.120108-4 1.335954+5 9.549926-4 1.247478+5 9.885531-4 1.188430+5 1.150000-3 9.470020+4 1.202264-3 8.837877+4 1.428894-3 6.663078+4 1.548817-3 5.798407+4 1.800000-3 4.435140+4 1.972423-3 3.744823+4 2.290868-3 2.812543+4 2.570396-3 2.240018+4 2.951209-3 1.691560+4 3.349654-3 1.297636+4 3.801894-3 9.890827+3 4.365158-3 7.300114+3 5.011872-3 5.347312+3 5.754399-3 3.888708+3 6.606934-3 2.808383+3 7.673615-3 1.958957+3 8.912509-3 1.356025+3 1.035142-2 9.317643+2 1.202264-2 6.356276+2 1.412538-2 4.177124+2 1.659587-2 2.723097+2 1.949845-2 1.761980+2 2.300000-2 1.119474+2 2.722701-2 6.991630+1 3.235937-2 4.286954+1 3.890451-2 2.524952+1 4.731513-2 1.427271+1 5.821032-2 7.739188+0 7.328245-2 3.887616+0 9.660509-2 1.686647+0 1.737801-1 2.827681-1 2.238721-1 1.319239-1 2.630268-1 8.178067-2 3.019952-1 5.465800-2 3.427678-1 3.803489-2 3.845918-1 2.754288-2 4.265795-1 2.073351-2 4.731513-1 1.571371-2 5.248075-1 1.199650-2 5.754399-1 9.499683-3 6.309573-1 7.572592-3 6.918310-1 6.079416-3 7.498942-1 5.051358-3 8.222427-1 4.115965-3 9.332543-1 3.134255-3 1.011579+0 2.654124-3 1.135011+0 2.109397-3 1.258925+0 1.730105-3 1.396368+0 1.429321-3 1.548817+0 1.189017-3 1.737801+0 9.765566-4 1.949845+0 8.079762-4 2.187762+0 6.730612-4 2.483133+0 5.547149-4 2.851018+0 4.528791-4 3.311311+0 3.665179-4 3.845918+0 2.988767-4 4.518559+0 2.416995-4 5.370318+0 1.940102-4 6.531306+0 1.524894-4 8.035261+0 1.190641-4 1.047129+1 8.768848-5 1.333521+1 6.682433-5 1.778279+1 4.873480-5 2.511886+1 3.366187-5 3.672823+1 2.257962-5 6.237348+1 1.306440-5 1.244515+2 6.466950-6 2.483133+2 3.220638-6 9.885531+2 8.050870-7 1.000000+5 7.946100-9 1 26000 7 0 5.584700+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 8.429600-4 6.424300-5 1.000000+5 6.424300-5 1 26000 7 7 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 8.429600-4 3.027000-6 1.000000+5 3.027000-6 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 8.429600-4 7.756900-4 1.000000+5 1.000000+5 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 7.335500-4 1.828100+5 7.337000-4 1.871500+5 7.340500-4 1.994600+5 7.343500-4 2.095100+5 7.346500-4 2.191600+5 7.351000-4 2.329700+5 7.355500-4 2.458500+5 7.360000-4 2.581200+5 7.365000-4 2.708800+5 7.372000-4 2.873600+5 7.377000-4 2.983500+5 7.385000-4 3.145100+5 7.392000-4 3.273100+5 7.400000-4 3.405300+5 7.410000-4 3.551700+5 7.420000-4 3.678800+5 7.430000-4 3.788800+5 7.440000-4 3.882800+5 7.454800-4 3.995800+5 7.470000-4 4.083600+5 7.485000-4 4.146300+5 7.500000-4 4.189400+5 7.523000-4 4.224900+5 7.550000-4 4.233300+5 7.585776-4 4.209700+5 8.280000-4 3.427000+5 8.609938-4 3.100100+5 9.225714-4 2.625000+5 1.047129-3 1.920300+5 1.150000-3 1.513600+5 1.258925-3 1.194900+5 1.496236-3 7.502300+4 1.659587-3 5.628300+4 1.905461-3 3.810000+4 2.162719-3 2.643000+4 2.454709-3 1.823000+4 2.851018-3 1.164800+4 3.235937-3 7.921600+3 3.715352-3 5.166200+3 4.315191-3 3.225200+3 5.011872-3 1.997800+3 5.821032-3 1.228300+3 6.760830-3 7.499600+2 7.852356-3 4.547600+2 9.120108-3 2.739400+2 1.059254-2 1.639600+2 1.244515-2 9.367000+1 1.479108-2 5.102200+1 1.778279-2 2.647600+1 2.162719-2 1.308200+1 2.691535-2 5.898900+0 3.388442-2 2.530800+0 4.570882-2 8.347900-1 8.035261-2 1.024400-1 1.023293-1 4.195565-2 1.230269-1 2.139849-2 1.445440-1 1.195503-2 1.678804-1 7.010501-3 1.927525-1 4.314816-3 2.187762-1 2.785473-3 2.454709-1 1.884488-3 2.754229-1 1.283879-3 3.090295-1 8.811951-4 3.467369-1 6.094379-4 3.845918-1 4.404581-4 4.265795-1 3.207142-4 4.677351-1 2.435893-4 5.128614-1 1.862543-4 5.623413-1 1.433727-4 6.165950-1 1.111342-4 6.760830-1 8.676476-5 7.413102-1 6.821003-5 8.609938-1 4.660241-5 9.120108-1 4.046720-5 9.660509-1 3.535953-5 1.023293+0 3.113091-5 1.096478+0 2.692613-5 1.161449+0 2.400979-5 1.250000+0 2.090490-5 1.364583+0 1.784807-5 1.678804+0 1.248172-5 1.883649+0 1.029822-5 2.113489+0 8.559222-6 2.398833+0 7.039508-6 2.722701+0 5.832412-6 3.126079+0 4.785383-6 3.630781+0 3.891194-6 4.265795+0 3.138626-6 5.069907+0 2.512810-6 6.095369+0 1.998192-6 7.498942+0 1.556378-6 9.225714+0 1.221620-6 1.174898+1 9.273149-7 1.548817+1 6.825397-7 2.113489+1 4.874617-7 3.090295+1 3.258568-7 4.786301+1 2.067122-7 7.413102+1 1.319408-7 1.479108+2 6.542166-8 2.951209+2 3.261317-8 1.174898+3 8.158861-9 1.000000+5 9.57280-11 1 26000 7 0 5.584700+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 7.335500-4 4.360400-5 1.000000+5 4.360400-5 1 26000 7 7 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 7.335500-4 3.223100-6 1.000000+5 3.223100-6 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 7.335500-4 6.867229-4 1.000000+5 1.000000+5 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 7.206900-4 3.797200+5 7.208600-4 3.897876+5 7.211500-4 4.107400+5 7.214500-4 4.315040+5 7.217500-4 4.514560+5 7.222000-4 4.797280+5 7.226500-4 5.063840+5 7.230000-4 5.259960+5 7.235000-4 5.526240+5 7.242000-4 5.870400+5 7.248000-4 6.141120+5 7.253000-4 6.351440+5 7.261000-4 6.661320+5 7.269000-4 6.940480+5 7.277000-4 7.190600+5 7.285000-4 7.414240+5 7.295000-4 7.659400+5 7.307000-4 7.908080+5 7.319000-4 8.112400+5 7.330000-4 8.265000+5 7.345000-4 8.426640+5 7.357000-4 8.522640+5 7.373000-4 8.611880+5 7.394100-4 8.675226+5 7.415000-4 8.692160+5 7.450000-4 8.653120+5 7.500000-4 8.522560+5 7.585776-4 8.268295+5 9.332543-4 5.032318+5 9.772372-4 4.454192+5 1.083927-3 3.429696+5 1.202264-3 2.620345+5 1.318257-3 2.047061+5 1.513561-3 1.404213+5 1.678804-3 1.050301+5 1.950000-3 6.850560+4 2.238721-3 4.576636+4 2.540973-3 3.141809+4 2.917427-3 2.068971+4 3.388442-3 1.304659+4 3.890451-3 8.459910+3 4.466836-3 5.447851+3 5.188000-3 3.356438+3 6.095369-3 1.975533+3 7.161434-3 1.153110+3 8.317638-3 6.943810+2 9.660509-3 4.152982+2 1.135011-2 2.370008+2 1.350000-2 1.284936+2 1.603245-2 6.946961+1 1.905461-2 3.717538+1 2.290868-2 1.894117+1 2.786121-2 9.181772+0 3.467369-2 4.055142+0 4.365158-2 1.702789+0 8.709636-2 1.237246-1 1.083927-1 5.416467-2 1.288250-1 2.840744-2 1.513561-1 1.566855-2 1.737801-1 9.470460-3 1.972423-1 6.012300-3 2.213400-1 4.003409-3 2.454709-1 2.795525-3 2.722701-1 1.964631-3 3.000000-1 1.422103-3 3.311311-1 1.031623-3 3.630781-1 7.703175-4 3.981072-1 5.795327-4 4.315191-1 4.547826-4 4.677351-1 3.590962-4 5.069907-1 2.853390-4 5.495409-1 2.282080-4 5.956621-1 1.837164-4 6.456542-1 1.488875-4 6.998420-1 1.214752-4 7.585776-1 9.979876-5 8.222427-1 8.256023-5 8.912509-1 6.878350-5 9.660509-1 5.775662-5 1.047129+0 4.888977-5 1.148154+0 4.070868-5 1.258925+0 3.415373-5 1.396368+0 2.824392-5 1.566751+0 2.305083-5 1.757924+0 1.894625-5 1.972423+0 1.568501-5 2.213095+0 1.307564-5 2.511886+0 1.078401-5 2.884032+0 8.809768-6 3.349654+0 7.134037-6 3.890451+0 5.820686-6 4.570882+0 4.709500-6 5.432503+0 3.782152-6 6.606934+0 2.974029-6 8.128305+0 2.323254-6 1.059254+1 1.711661-6 1.364583+1 1.288221-6 1.840772+1 9.284835-7 2.630268+1 6.340265-7 3.935501+1 4.155812-7 6.606934+1 2.435996-7 1.318257+2 1.206590-7 2.630268+2 6.011047-8 1.047129+3 1.503064-8 1.000000+5 1.57150-10 1 26000 7 0 5.584700+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 7.206900-4 4.337200-5 1.000000+5 4.337200-5 1 26000 7 7 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 7.206900-4 2.742900-6 1.000000+5 2.742900-6 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 7.206900-4 6.745751-4 1.000000+5 1.000000+5 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.010100-4 3.485323+5 1.071519-4 3.440308+5 1.135011-4 3.375260+5 1.303167-4 3.159622+5 1.396368-4 3.049718+5 1.566751-4 2.852035+5 1.659587-4 2.742751+5 1.760000-4 2.616600+5 1.905461-4 2.435219+5 2.113489-4 2.198876+5 2.344229-4 1.971175+5 2.540973-4 1.799088+5 2.754229-4 1.631374+5 3.054921-4 1.427370+5 3.467369-4 1.203107+5 3.850000-4 1.038142+5 4.315191-4 8.772586+4 5.000000-4 6.995080+4 5.623413-4 5.803434+4 6.500000-4 4.569840+4 7.500000-4 3.583220+4 8.609938-4 2.812759+4 9.885531-4 2.193984+4 1.150000-3 1.658998+4 1.333521-3 1.253414+4 1.570000-3 9.133040+3 1.862087-3 6.506985+3 2.213095-3 4.579319+3 2.630268-3 3.196246+3 3.090295-3 2.267973+3 3.589219-3 1.637900+3 4.168694-3 1.174470+3 4.841724-3 8.362131+2 5.623413-3 5.911155+2 6.531306-3 4.148193+2 7.585776-3 2.890064+2 8.912509-3 1.943110+2 1.047129-2 1.296189+2 1.230269-2 8.580342+1 1.445440-2 5.636682+1 1.698244-2 3.674936+1 2.000000-2 2.363193+1 2.371374-2 1.480645+1 2.818383-2 9.146080+0 3.349654-2 5.606930+0 4.027170-2 3.301360+0 4.897788-2 1.865951+0 6.025596-2 1.011237+0 7.673615-2 4.907427-1 1.023293-1 2.057805-1 1.659587-1 4.729260-2 2.137962-1 2.204888-2 2.511886-1 1.364601-2 2.917427-1 8.802711-3 3.311311-1 6.114514-3 3.715352-1 4.418811-3 4.168694-1 3.216643-3 4.623810-1 2.434067-3 5.128614-1 1.855386-3 5.688529-1 1.425547-3 6.237348-1 1.135831-3 6.839117-1 9.113415-4 7.498942-1 7.363476-4 8.317638-1 5.840634-4 9.120108-1 4.789679-4 9.885531-1 4.053966-4 1.135011+0 3.078480-4 1.258925+0 2.523645-4 1.396368+0 2.084212-4 1.548817+0 1.733567-4 1.737801+0 1.423926-4 1.949845+0 1.178131-4 2.187762+0 9.812455-5 2.483133+0 8.086826-5 2.818383+0 6.713247-5 3.273407+0 5.430097-5 3.801894+0 4.425558-5 4.466836+0 3.577083-5 5.308844+0 2.869779-5 6.456542+0 2.254501-5 8.000000+0 1.745000-5 1.035142+1 1.295414-5 1.318257+1 9.868666-6 1.757924+1 7.194917-6 2.454709+1 5.029370-6 3.548134+1 3.412865-6 6.000000+1 1.982000-6 1.188502+2 9.879469-7 2.371374+2 4.918500-7 9.440609+2 1.229233-7 1.000000+5 1.158600-9 1 26000 7 0 5.584700+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.010100-4 3.543600-5 1.000000+5 3.543600-5 1 26000 7 7 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.010100-4 1.354600-9 1.000000+5 1.354600-9 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.010100-4 6.557265-5 1.000000+5 1.000000+5 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 6.804000-5 3.959800+5 6.870000-5 3.884940+5 6.950000-5 3.770080+5 7.030000-5 3.638740+5 7.150000-5 3.427580+5 7.328245-5 3.109112+5 7.650000-5 2.606740+5 7.800000-5 2.420240+5 7.950000-5 2.266780+5 8.080000-5 2.159480+5 8.190000-5 2.086080+5 8.317638-5 2.019196+5 8.450000-5 1.968414+5 8.570000-5 1.936788+5 8.709636-5 1.914979+5 8.850000-5 1.906948+5 9.015711-5 1.912285+5 9.150000-5 1.926192+5 9.350000-5 1.959266+5 9.549926-5 2.003448+5 9.900000-5 2.097900+5 1.100000-4 2.435540+5 1.150000-4 2.579600+5 1.205000-4 2.721060+5 1.258925-4 2.839148+5 1.315000-4 2.938840+5 1.364583-4 3.007790+5 1.412538-4 3.058140+5 1.462177-4 3.094341+5 1.520000-4 3.117820+5 1.584893-4 3.123382+5 1.659587-4 3.108068+5 1.737801-4 3.073720+5 1.840772-4 3.009007+5 1.950000-4 2.923900+5 2.065380-4 2.822160+5 2.190000-4 2.704660+5 2.317395-4 2.579866+5 2.454709-4 2.443609+5 2.600160-4 2.300691+5 2.800000-4 2.113000+5 3.019952-4 1.923331+5 3.280000-4 1.722354+5 3.548134-4 1.539440+5 3.801894-4 1.386130+5 4.120975-4 1.217994+5 4.518559-4 1.042991+5 4.954502-4 8.864894+4 5.400000-4 7.561360+4 5.956621-4 6.256901+4 6.531306-4 5.203575+4 7.161434-4 4.300099+4 7.943282-4 3.442203+4 8.810489-4 2.736190+4 9.700000-4 2.197000+4 1.083927-3 1.692874+4 1.216186-3 1.282161+4 1.380384-3 9.363161+3 1.548817-3 6.984120+3 1.737801-3 5.175043+3 1.949845-3 3.809800+3 2.187762-3 2.786965+3 2.483133-3 1.961703+3 2.818383-3 1.370637+3 3.198895-3 9.505618+2 3.630781-3 6.543790+2 4.120975-3 4.472052+2 4.677351-3 3.034251+2 5.370318-3 1.972055+2 6.165950-3 1.271725+2 7.079458-3 8.139838+1 8.222426-3 4.982008+1 9.549926-3 3.026375+1 1.109175-2 1.825266+1 1.303167-2 1.050684+1 1.531087-2 6.001864+0 1.819701-2 3.267456+0 2.162719-2 1.765570+0 2.630268-2 8.718961-1 3.273407-2 3.930650-1 4.168694-2 1.616807-1 8.317638-2 1.254453-2 1.047129-1 5.380105-3 1.258925-1 2.752137-3 1.479108-1 1.541489-3 1.717908-1 9.062012-4 1.972423-1 5.590339-4 2.238721-1 3.615717-4 2.511886-1 2.449238-4 2.818383-1 1.670713-4 3.126079-1 1.191916-4 3.467369-1 8.560319-5 3.845918-1 6.190228-5 4.265795-1 4.508768-5 4.731513-1 3.309442-5 5.188000-1 2.531623-5 5.688529-1 1.949904-5 6.237348-1 1.512203-5 6.839117-1 1.180998-5 7.498942-1 9.289745-6 8.609938-1 6.543819-6 9.120108-1 5.686637-6 9.660509-1 4.972259-6 1.023293+0 4.379794-6 1.096478+0 3.789696-6 1.161449+0 3.379647-6 1.250000+0 2.942300-6 1.364583+0 2.511477-6 1.659587+0 1.790357-6 1.862087+0 1.476178-6 2.089296+0 1.226032-6 2.371374+0 1.007661-6 2.691535+0 8.343450-7 3.090295+0 6.841598-7 3.589219+0 5.559956-7 4.216965+0 4.482176-7 5.011872+0 3.586498-7 6.025596+0 2.850769-7 7.413102+0 2.219540-7 9.120108+0 1.741395-7 1.161449+1 1.321379-7 1.531087+1 9.722946-8 2.065380+1 7.028179-8 3.019952+1 4.695796-8 4.677351+1 2.977656-8 7.328245+1 1.877884-8 1.462177+2 9.310318-9 2.917427+2 4.640900-9 1.161449+3 1.160996-9 1.000000+5 1.34650-11 1 26000 7 0 5.584700+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 6.804000-5 2.520800-5 1.000000+5 2.520800-5 1 26000 7 7 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.804000-5 1.349500-9 1.000000+5 1.349500-9 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.804000-5 4.283065-5 1.000000+5 1.000000+5 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 6.645000-5 8.263800+5 6.720000-5 8.056520+5 6.800000-5 7.794720+5 6.900000-5 7.430000+5 7.000000-5 7.051200+5 7.450000-5 5.516640+5 7.620000-5 5.084120+5 7.760000-5 4.796640+5 7.852356-5 4.639585+5 7.950000-5 4.500040+5 8.080000-5 4.353240+5 8.190000-5 4.260600+5 8.317638-5 4.185086+5 8.450000-5 4.138360+5 8.570000-5 4.120040+5 8.730000-5 4.125280+5 8.912509-5 4.164515+5 9.120108-5 4.241594+5 9.400000-5 4.382800+5 9.800000-5 4.626040+5 1.060000-4 5.146760+5 1.109175-4 5.446918+5 1.161449-4 5.732508+5 1.216186-4 5.987884+5 1.260000-4 6.158000+5 1.315000-4 6.328160+5 1.364583-4 6.441263+5 1.412538-4 6.516557+5 1.479108-4 6.571146+5 1.548817-4 6.575430+5 1.621810-4 6.533768+5 1.698244-4 6.451825+5 1.800000-4 6.300880+5 1.905461-4 6.113531+5 2.018366-4 5.892768+5 2.150000-4 5.619240+5 2.290868-4 5.317469+5 2.450000-4 4.975720+5 2.630268-4 4.600779+5 2.818383-4 4.232544+5 3.054921-4 3.812250+5 3.311311-4 3.409780+5 3.589219-4 3.026425+5 3.890451-4 2.666316+5 4.216965-4 2.332561+5 4.623810-4 1.988482+5 5.069907-4 1.682464+5 5.559043-4 1.412657+5 6.165950-4 1.150606+5 6.760830-4 9.525529+4 7.413102-4 7.834994+4 8.317638-4 6.083933+4 9.225714-4 4.809640+4 1.023293-3 3.775161+4 1.135011-3 2.944912+4 1.258925-3 2.282591+4 1.412538-3 1.708184+4 1.584893-3 1.269259+4 1.778279-3 9.370043+3 2.018366-3 6.661304+3 2.264644-3 4.853328+3 2.570396-3 3.399729+3 2.917427-3 2.363148+3 3.311311-3 1.630753+3 3.758374-3 1.117116+3 4.265795-3 7.596033+2 4.841724-3 5.127941+2 5.559043-3 3.314446+2 6.309573-3 2.206162+2 7.244360-3 1.404992+2 8.413951-3 8.551308+1 9.772372-3 5.163931+1 1.135011-2 3.095392+1 1.318257-2 1.842271+1 1.531087-2 1.088804+1 1.798871-2 6.132454+0 2.137962-2 3.289475+0 2.570396-2 1.679249+0 3.126079-2 8.154161-1 3.845918-2 3.763981-1 5.069907-2 1.330731-1 9.120108-2 1.443630-2 1.148154-1 6.080575-3 1.364583-1 3.200945-3 1.603245-1 1.772212-3 1.840772-1 1.075714-3 2.089296-1 6.858580-4 2.344229-1 4.588891-4 2.600160-1 3.218057-4 2.884032-1 2.273008-4 3.162278-1 1.679804-4 3.467369-1 1.249799-4 3.801894-1 9.365971-5 4.120975-1 7.323029-5 4.466836-1 5.761706-5 4.841724-1 4.562371-5 5.248075-1 3.637214-5 5.688529-1 2.919367-5 6.165950-1 2.358883-5 6.683439-1 1.918761-5 7.244360-1 1.571084-5 7.852356-1 1.294853-5 8.609938-1 1.044736-5 9.225714-1 8.950439-6 9.885531-1 7.718625-6 1.096478+0 6.246322-6 1.174898+0 5.454119-6 1.288250+0 4.585777-6 1.428894+0 3.800729-6 1.621810+0 3.046701-6 1.819701+0 2.509666-6 2.044000+0 2.078000-6 2.317395+0 1.708201-6 2.630268+0 1.412592-6 3.019952+0 1.157045-6 3.507519+0 9.391933-7 4.120975+0 7.563226-7 4.841724+0 6.134856-7 5.754399+0 4.938889-7 7.079458+0 3.838776-7 8.609938+0 3.047193-7 1.122018+1 2.248999-7 1.479108+1 1.653199-7 2.000000+1 1.190900-7 2.917427+1 7.970906-8 4.518559+1 5.051598-8 7.161434+1 3.147078-8 1.428894+2 1.560020-8 2.851018+2 7.774980-9 1.135011+3 1.944757-9 1.000000+5 2.20430-11 1 26000 7 0 5.584700+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 6.645000-5 2.508700-5 1.000000+5 2.508700-5 1 26000 7 7 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 6.645000-5 1.295000-9 1.000000+5 1.295000-9 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 6.645000-5 4.136171-5 1.000000+5 1.000000+5 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.291000-5 1.260797+6 1.335000-5 1.258118+6 1.370000-5 1.262242+6 1.420000-5 1.278146+6 1.470000-5 1.303428+6 1.531087-5 1.343740+6 1.603245-5 1.402535+6 1.690000-5 1.484698+6 1.800000-5 1.601059+6 2.317395-5 2.216209+6 2.511886-5 2.444817+6 2.710800-5 2.664994+6 2.900000-5 2.856192+6 3.090295-5 3.027329+6 3.273407-5 3.170578+6 3.467369-5 3.295693+6 3.650000-5 3.387360+6 3.850000-5 3.461112+6 4.027170-5 3.504028+6 4.220000-5 3.529032+6 4.415704-5 3.533120+6 4.650000-5 3.514272+6 4.900000-5 3.472440+6 5.188000-5 3.403686+6 5.500000-5 3.311352+6 5.900000-5 3.178128+6 6.309573-5 3.034841+6 6.800000-5 2.860848+6 7.328245-5 2.677577+6 7.852356-5 2.501161+6 8.413951-5 2.319168+6 8.912509-5 2.164399+6 9.500000-5 1.990097+6 1.011579-4 1.818903+6 1.071519-4 1.664081+6 1.150000-4 1.480286+6 1.230269-4 1.314692+6 1.333521-4 1.132203+6 1.445440-4 9.679282+5 1.566751-4 8.218526+5 1.698244-4 6.922864+5 1.819701-4 5.938400+5 1.980000-4 4.883400+5 2.162719-4 3.945402+5 2.371374-4 3.134162+5 2.580000-4 2.523312+5 2.800000-4 2.032946+5 3.054921-4 1.604040+5 3.400000-4 1.188394+5 3.758374-4 8.911435+4 4.168694-4 6.575340+4 4.623810-4 4.813043+4 5.188000-4 3.375393+4 5.821032-4 2.349723+4 6.531306-4 1.622663+4 7.413102-4 1.071000+4 8.317638-4 7.287463+3 9.440609-4 4.733107+3 1.059254-3 3.176215+3 1.202264-3 2.032767+3 1.364583-3 1.291157+3 1.548817-3 8.142121+2 1.757924-3 5.098983+2 2.000000-3 3.141672+2 2.264644-3 1.956510+2 2.570396-3 1.198521+2 2.917427-3 7.285697+1 3.273407-3 4.600964+1 3.715352-3 2.754698+1 4.216965-3 1.637154+1 4.841724-3 9.207798+0 5.559043-3 5.140382+0 6.839116-3 2.124362+0 8.128305-3 1.009505+0 9.660509-3 4.760932-1 1.148154-2 2.228310-1 1.380384-2 9.836104-2 1.584893-2 5.295779-2 1.927525-2 2.183959-2 2.426610-2 7.638981-3 4.841724-2 3.212341-4 6.531306-2 8.187628-5 7.943282-2 3.371048-5 9.332543-2 1.634310-5 1.083927-1 8.401806-6 1.244515-1 4.578393-6 1.412538-1 2.642578-6 1.603245-1 1.536478-6 1.798871-1 9.452387-7 2.000000-1 6.084800-7 2.213095-1 4.022839-7 2.454709-1 2.652296-7 2.722701-1 1.761414-7 3.019952-1 1.178593-7 3.311311-1 8.301673-8 3.630781-1 5.887784-8 3.981072-1 4.206834-8 4.365158-1 3.032660-8 4.786301-1 2.202354-8 5.308844-1 1.548321-8 5.821032-1 1.140296-8 6.309573-1 8.786033-9 6.839117-1 6.816651-9 7.413102-1 5.326227-9 8.609938-1 3.408051-9 9.015711-1 2.987530-9 9.440609-1 2.635337-9 9.772372-1 2.410383-9 1.011579+0 2.215247-9 1.059254+0 1.993077-9 1.109175+0 1.805470-9 1.161449+0 1.646212-9 1.230269+0 1.477991-9 1.333521+0 1.282235-9 1.531087+0 1.017763-9 1.798871+0 7.73803-10 2.000000+0 6.50150-10 2.264644+0 5.34804-10 2.570396+0 4.41664-10 2.951209+0 3.61287-10 3.427678+0 2.92918-10 4.027170+0 2.35621-10 4.731513+0 1.90925-10 5.623413+0 1.53554-10 6.839116+0 1.20910-10 8.317638+0 9.58521-11 1.083927+1 7.06707-11 1.412538+1 5.25549-11 1.905461+1 3.79124-11 2.754229+1 2.55932-11 4.216965+1 1.63958-11 6.839116+1 9.96726-12 1.364583+2 4.93845-12 2.722701+2 2.46075-12 1.083927+3 6.15411-13 1.000000+5 6.66080-15 1 26000 7 0 5.584700+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.291000-5 1.291000-5 1.000000+5 1.291000-5 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.291000-5 0.0 1.000000+5 1.000000+5 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.274000-5 1.910678+6 1.317000-5 1.908854+6 1.360000-5 1.920247+6 1.412538-5 1.950956+6 1.462177-5 1.993263+6 1.513561-5 2.047927+6 1.584893-5 2.138228+6 1.678804-5 2.275857+6 1.800000-5 2.474690+6 2.264644-5 3.313969+6 2.483133-5 3.702185+6 2.691535-5 4.049114+6 2.884032-5 4.341439+6 3.054921-5 4.573220+6 3.235937-5 4.785771+6 3.427678-5 4.972544+6 3.630781-5 5.127235+6 3.801894-5 5.222037+6 4.000000-5 5.294808+6 4.220000-5 5.331456+6 4.415704-5 5.331279+6 4.677351-5 5.292050+6 4.954502-5 5.210739+6 5.248075-5 5.092599+6 5.559043-5 4.946347+6 5.900000-5 4.770972+6 6.309573-5 4.550183+6 6.800000-5 4.286448+6 7.328245-5 4.007569+6 7.852356-5 3.740701+6 8.317638-5 3.512578+6 8.810489-5 3.279128+6 9.332543-5 3.043628+6 9.900000-5 2.801189+6 1.059254-4 2.526625+6 1.122018-4 2.300072+6 1.202264-4 2.040136+6 1.300000-4 1.768392+6 1.412538-4 1.507067+6 1.513561-4 1.312041+6 1.650000-4 1.095149+6 1.778279-4 9.289956+5 1.905461-4 7.934444+5 2.089296-4 6.371777+5 2.317395-4 4.928460+5 2.580000-4 3.741624+5 2.851018-4 2.869585+5 3.162278-4 2.158400+5 3.548134-4 1.557217+5 3.935501-4 1.152441+5 4.365158-4 8.464797+4 4.841724-4 6.175181+4 5.370318-4 4.474537+4 6.025596-4 3.104466+4 6.760830-4 2.137328+4 7.673615-4 1.406617+4 8.609938-4 9.545850+3 9.660509-4 6.431765+3 1.096478-3 4.134713+3 1.244515-3 2.638593+3 1.412538-3 1.671496+3 1.603245-3 1.051224+3 1.819701-3 6.563242+2 2.065380-3 4.067386+2 2.344229-3 2.501847+2 2.660725-3 1.527192+2 3.019952-3 9.250340+1 3.427678-3 5.558102+1 3.890451-3 3.314226+1 4.415704-3 1.960914+1 5.069907-3 1.097660+1 5.888437-3 5.809832+0 6.998420-3 2.759970+0 9.120108-3 8.722613-1 1.059254-2 4.520205-1 1.244515-2 2.210396-1 1.479108-2 1.019205-1 1.757924-2 4.657442-2 2.137962-2 1.902105-2 2.754229-2 5.917341-3 5.432503-2 2.551043-4 7.161434-2 7.144080-5 8.511380-2 3.245801-5 9.885531-2 1.649035-5 1.135011-1 8.878470-6 1.288250-1 5.069282-6 1.445440-1 3.067332-6 1.603245-1 1.964834-6 1.778279-1 1.267366-6 1.972423-1 8.235526-7 2.162719-1 5.649142-7 2.371374-1 3.901667-7 2.570396-1 2.840046-7 2.786121-1 2.080491-7 3.019952-1 1.534423-7 3.273407-1 1.139910-7 3.548134-1 8.530257-8 3.845918-1 6.430793-8 4.168694-1 4.882785-8 4.466836-1 3.879346-8 4.786301-1 3.101278-8 5.069907-1 2.586925-8 5.432503-1 2.095192-8 5.888437-1 1.651045-8 6.382635-1 1.310266-8 6.918310-1 1.047560-8 7.585776-1 8.184556-9 8.128305-1 6.835700-9 8.709636-1 5.749818-9 9.225714-1 5.009546-9 9.772372-1 4.393222-9 1.035142+0 3.879900-9 1.109175+0 3.364007-9 1.174898+0 3.005007-9 1.288250+0 2.531346-9 1.428894+0 2.103873-9 1.678804+0 1.592527-9 1.883649+0 1.314128-9 2.113489+0 1.092475-9 2.398833+0 8.98570-10 2.722701+0 7.44445-10 3.126079+0 6.10758-10 3.630781+0 4.96638-10 4.265795+0 4.00580-10 5.069907+0 3.20700-10 6.095369+0 2.55031-10 7.498942+0 1.98643-10 9.225714+0 1.55914-10 1.174898+1 1.18354-10 1.548817+1 8.71119-11 2.089296+1 6.29868-11 3.054921+1 4.20945-11 4.731513+1 2.66984-11 7.328245+1 1.70389-11 1.462177+2 8.44752-12 2.917427+2 4.21080-12 1.161449+3 1.05340-12 1.000000+5 1.22180-14 1 26000 7 0 5.584700+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.274000-5 1.274000-5 1.000000+5 1.274000-5 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.274000-5 0.0 1.000000+5 1.000000+5 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 7.530000-6 1.722320+6 7.600000-6 1.630228+6 7.762471-6 1.415276+6 8.000000-6 1.150546+6 8.222426-6 9.458783+5 8.420000-6 7.934640+5 8.609938-6 6.688789+5 8.810489-6 5.569272+5 9.015711-6 4.603220+5 9.200000-6 3.866200+5 9.350000-6 3.344800+5 9.500000-6 2.885340+5 9.660509-6 2.454679+5 9.772372-6 2.187764+5 9.930000-6 1.853152+5 1.005000-5 1.627674+5 1.020000-5 1.377692+5 1.031000-5 1.214696+5 1.044000-5 1.042155+5 1.055000-5 9.116260+4 1.065000-5 8.042500+4 1.077000-5 6.884280+4 1.088000-5 5.937200+4 1.096478-5 5.276273+4 1.105000-5 4.668200+4 1.115000-5 4.021760+4 1.123000-5 3.553300+4 1.131000-5 3.125320+4 1.138000-5 2.782200+4 1.146000-5 2.423640+4 1.154000-5 2.099000+4 1.161449-5 1.825270+4 1.168000-5 1.606046+4 1.174898-5 1.395890+4 1.182000-5 1.200396+4 1.188502-5 1.039086+4 1.195000-5 8.938420+3 1.201500-5 7.637360+3 1.207000-5 6.649180+3 1.213000-5 5.683680+3 1.218000-5 4.964840+3 1.224000-5 4.200480+3 1.230269-5 3.511202+3 1.242000-5 2.502560+3 1.247000-5 2.177300+3 1.251000-5 1.959620+3 1.253500-5 1.842160+3 1.256500-5 1.719600+3 1.259000-5 1.632454+3 1.262000-5 1.545448+3 1.264200-5 1.493558+3 1.266000-5 1.458460+3 1.268500-5 1.420498+3 1.271000-5 1.394836+3 1.272700-5 1.384284+3 1.275000-5 1.378728+3 1.277000-5 1.381912+3 1.279500-5 1.396180+3 1.282000-5 1.421650+3 1.284200-5 1.453142+3 1.287000-5 1.505254+3 1.290000-5 1.575698+3 1.292000-5 1.630872+3 1.295000-5 1.725666+3 1.299000-5 1.873942+3 1.303167-5 2.054131+3 1.322000-5 3.171340+3 1.330000-5 3.782620+3 1.337000-5 4.377740+3 1.342000-5 4.835180+3 1.348963-5 5.514477+3 1.355000-5 6.141080+3 1.361000-5 6.796360+3 1.368000-5 7.599360+3 1.376000-5 8.564360+3 1.382000-5 9.318920+3 1.390000-5 1.036298+4 1.397000-5 1.130960+4 1.405000-5 1.242614+4 1.415000-5 1.386912+4 1.425000-5 1.535918+4 1.435000-5 1.689080+4 1.445800-5 1.858576+4 1.455000-5 2.005880+4 1.465000-5 2.168580+4 1.480000-5 2.416900+4 1.495000-5 2.669220+4 1.507000-5 2.873200+4 1.522000-5 3.130000+4 1.540000-5 3.439640+4 1.560000-5 3.784020+4 1.580000-5 4.127220+4 1.603245-5 4.522811+4 1.621810-5 4.835056+4 1.640590-5 5.146737+4 1.670000-5 5.624840+4 1.700000-5 6.098180+4 1.730000-5 6.555460+4 1.760000-5 6.995580+4 1.785000-5 7.348760+4 1.819701-5 7.818036+4 1.862087-5 8.358038+4 1.905461-5 8.873152+4 1.950000-5 9.363580+4 2.000000-5 9.869280+4 2.055000-5 1.037334+5 2.113489-5 1.085282+5 2.170000-5 1.126450+5 2.238721-5 1.170268+5 2.317395-5 1.212828+5 2.400000-5 1.249742+5 2.500000-5 1.285234+5 2.610000-5 1.314450+5 2.730000-5 1.336580+5 2.851018-5 1.350446+5 3.019952-5 1.358678+5 3.198895-5 1.356872+5 3.400000-5 1.345522+5 3.630781-5 1.323815+5 3.900000-5 1.290928+5 4.216965-5 1.246091+5 4.570882-5 1.192111+5 4.954502-5 1.132310+5 5.400000-5 1.063262+5 5.888437-5 9.902292+4 6.382635-5 9.203483+4 6.918310-5 8.499840+4 7.585776-5 7.700754+4 8.317638-5 6.924875+4 9.225714-5 6.098626+4 1.035142-4 5.253492+4 1.188502-4 4.359286+4 1.428894-4 3.369796+4 1.800000-4 2.417820+4 2.691535-4 1.344584+4 3.054921-4 1.111680+4 3.507519-4 8.946223+3 4.073803-4 7.015246+3 4.897788-4 5.152493+3 5.821032-4 3.840979+3 6.839116-4 2.898044+3 8.000000-4 2.187822+3 9.440609-4 1.613791+3 1.135011-3 1.141324+3 1.348963-3 8.186690+2 1.603245-3 5.828121+2 1.905461-3 4.117391+2 2.238721-3 2.955588+2 2.660725-3 2.056907+2 3.311311-3 1.288123+2 3.890451-3 9.058326+1 4.415704-3 6.820686+1 5.128614-3 4.840251+1 5.956621-3 3.408886+1 6.918310-3 2.384579+1 8.128305-3 1.610272+1 9.549926-3 1.078817+1 1.122018-2 7.172174+0 1.318257-2 4.731978+0 1.548817-2 3.098489+0 1.819701-2 2.013801+0 2.137962-2 1.299422+0 2.540973-2 8.063684-1 3.019952-2 4.966338-1 3.630781-2 2.937868-1 4.365158-2 1.724984-1 5.248075-2 1.005739-1 6.531306-2 5.254504-2 8.413951-2 2.457332-2 1.071519-1 1.181968-2 1.659587-1 3.125309-3 2.137962-1 1.457179-3 2.511886-1 9.018849-4 2.917427-1 5.818167-4 3.311311-1 4.041596-4 3.715352-1 2.920978-4 4.168694-1 2.126573-4 4.623810-1 1.609473-4 5.128614-1 1.227099-4 5.623413-1 9.706757-5 6.165950-1 7.729858-5 6.760830-1 6.199509-5 7.413102-1 5.007560-5 8.128305-1 4.073799-5 8.912509-1 3.337882-5 9.660509-1 2.822107-5 1.109175+0 2.140832-5 1.230269+0 1.751932-5 1.364583+0 1.444216-5 1.513561+0 1.199029-5 1.678804+0 1.002535-5 1.883649+0 8.277675-6 2.113489+0 6.882030-6 2.398833+0 5.660137-6 2.722701+0 4.689535-6 3.126079+0 3.847664-6 3.630781+0 3.128737-6 4.265795+0 2.523594-6 5.069907+0 2.020351-6 6.095369+0 1.606639-6 7.498942+0 1.251425-6 9.225714+0 9.822636-7 1.174898+1 7.455928-7 1.548817+1 5.487944-7 2.113489+1 3.919387-7 3.090295+1 2.620057-7 4.786301+1 1.662059-7 7.328245+1 1.073408-7 1.462177+2 5.321678-8 2.917427+2 2.652693-8 1.161449+3 6.636138-9 1.000000+5 7.69690-11 1 26000 7 0 5.584700+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 7.530000-6 7.530000-6 1.000000+5 7.530000-6 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 7.530000-6 0.0 1.000000+5 1.000000+5 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.028330-8 1.028750+0 3.028330-7 1.033200+0 1.366950-6 1.034000+0 1.678050-6 1.035300+0 2.277720-6 1.036640+0 3.028330-6 1.038200+0 4.086830-6 1.039700+0 5.309610-6 1.041500+0 7.064380-6 1.043800+0 9.805590-6 1.046400+0 1.364260-5 1.048300+0 1.698550-5 1.051200+0 2.304040-5 1.054080+0 3.028330-5 1.057700+0 4.127800-5 1.061100+0 5.369220-5 1.065100+0 7.108240-5 1.070400+0 9.916710-5 1.076200+0 1.370480-4 1.080600+0 1.711510-4 1.087100+0 2.305970-4 1.093710+0 3.028330-4 1.102600+0 4.198800-4 1.110700+0 5.476170-4 1.120600+0 7.325660-4 1.133300+0 1.018620-3 1.147500+0 1.406440-3 1.158200+0 1.747860-3 1.174100+0 2.335980-3 1.190110+0 3.028330-3 1.205100+0 3.769030-3 1.227500+0 5.043800-3 1.250000+0 6.520000-3 1.265600+0 7.652180-3 1.294900+0 1.000480-2 1.331800+0 1.335740-2 1.362600+0 1.645810-2 1.411700+0 2.191680-2 1.455800+0 2.731870-2 1.500000+0 3.320000-2 1.562500+0 4.231890-2 1.617200+0 5.104100-2 1.712900+0 6.781110-2 1.784700+0 8.150450-2 1.892300+0 1.034290-1 2.000000+0 1.265000-1 2.044000+0 1.361000-1 2.163500+0 1.625730-1 2.372600+0 2.097480-1 2.647100+0 2.719010-1 3.000000+0 3.506000-1 3.437500+0 4.450560-1 4.000000+0 5.600000-1 4.750000+0 7.006890-1 5.000000+0 7.449000-1 6.000000+0 9.097000-1 7.000000+0 1.056000+0 8.000000+0 1.188000+0 9.000000+0 1.307000+0 1.000000+1 1.415000+0 1.100000+1 1.513000+0 1.200000+1 1.603000+0 1.300000+1 1.685000+0 1.400000+1 1.763000+0 1.500000+1 1.835000+0 1.600000+1 1.903000+0 1.800000+1 2.027000+0 2.000000+1 2.138000+0 2.200000+1 2.239000+0 2.400000+1 2.330000+0 2.600000+1 2.414000+0 2.800000+1 2.490000+0 3.000000+1 2.561000+0 4.000000+1 2.848000+0 5.000000+1 3.063000+0 6.000000+1 3.231000+0 8.000000+1 3.483000+0 1.000000+2 3.663000+0 1.500000+2 3.953000+0 2.000000+2 4.128000+0 3.000000+2 4.332000+0 4.000000+2 4.451000+0 5.000000+2 4.529000+0 6.000000+2 4.585000+0 8.000000+2 4.660000+0 1.000000+3 4.708000+0 1.500000+3 4.779000+0 2.000000+3 4.817000+0 3.000000+3 4.859000+0 4.000000+3 4.881000+0 5.000000+3 4.896000+0 6.000000+3 4.905000+0 8.000000+3 4.918000+0 1.000000+4 4.926000+0 1.500000+4 4.938000+0 2.000000+4 4.944000+0 3.000000+4 4.950000+0 4.000000+4 4.953000+0 5.000000+4 4.956000+0 6.000000+4 4.957000+0 8.000000+4 4.959000+0 1.000000+5 4.960000+0 1 26000 7 8 5.584700+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 2.610750-7 2.114000+0 1.176930-6 2.119500+0 1.465270-6 2.127900+0 1.987180-6 2.136250+0 2.610750-6 2.147000+0 3.579520-6 2.156900+0 4.649370-6 2.169000+0 6.204870-6 2.184500+0 8.624980-6 2.201800+0 1.193290-5 2.214800+0 1.486750-5 2.234200+0 1.999940-5 2.253680+0 2.610750-5 2.281500+0 3.656820-5 2.307000+0 4.803220-5 2.338200+0 6.458350-5 2.377400+0 8.944050-5 2.410200+0 1.137530-4 2.446800+0 1.447010-4 2.485900+0 1.821860-4 2.532900+0 2.331590-4 2.556430+0 2.610750-4 2.611900+0 3.328980-4 2.660400+0 4.024540-4 2.745300+0 5.386550-4 2.809000+0 6.523390-4 2.904500+0 8.403590-4 3.000000+0 1.049000-3 3.125000+0 1.352700-3 3.234400+0 1.646020-3 3.425800+0 2.216820-3 3.569300+0 2.688340-3 3.784700+0 3.456300-3 4.000000+0 4.282000-3 4.250000+0 5.291600-3 4.625000+0 6.878760-3 5.000000+0 8.530000-3 5.500000+0 1.079920-2 6.000000+0 1.310000-2 6.750000+0 1.652270-2 7.000000+0 1.765000-2 8.000000+0 2.207000-2 9.000000+0 2.630000-2 1.000000+1 3.032000-2 1.100000+1 3.413000-2 1.200000+1 3.773000-2 1.300000+1 4.113000-2 1.400000+1 4.437000-2 1.500000+1 4.743000-2 1.600000+1 5.035000-2 1.800000+1 5.577000-2 2.000000+1 6.072000-2 2.200000+1 6.525000-2 2.400000+1 6.943000-2 2.600000+1 7.330000-2 2.800000+1 7.690000-2 3.000000+1 8.026000-2 4.000000+1 9.425000-2 5.000000+1 1.050000-1 6.000000+1 1.136000-1 8.000000+1 1.266000-1 1.000000+2 1.362000-1 1.500000+2 1.524000-1 2.000000+2 1.626000-1 3.000000+2 1.753000-1 4.000000+2 1.830000-1 5.000000+2 1.883000-1 6.000000+2 1.922000-1 8.000000+2 1.976000-1 1.000000+3 2.013000-1 1.500000+3 2.067000-1 2.000000+3 2.099000-1 3.000000+3 2.133000-1 4.000000+3 2.153000-1 5.000000+3 2.165000-1 6.000000+3 2.174000-1 8.000000+3 2.186000-1 1.000000+4 2.193000-1 1.500000+4 2.203000-1 2.000000+4 2.209000-1 3.000000+4 2.215000-1 4.000000+4 2.218000-1 5.000000+4 2.220000-1 6.000000+4 2.222000-1 8.000000+4 2.223000-1 1.000000+5 2.224000-1 1 26000 7 8 5.584700+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 26000 7 9 5.584700+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 2.600000+1 1.000000+5 2.600000+1 5.000000+5 2.598300+1 6.718700+5 2.597360+1 7.890600+5 2.596850+1 9.296900+5 2.596330+1 1.000000+6 2.596100+1 1.125000+6 2.595380+1 1.500000+6 2.593200+1 2.000000+6 2.588000+1 2.500000+6 2.581400+1 3.000000+6 2.573500+1 3.500000+6 2.564030+1 4.000000+6 2.553800+1 4.500000+6 2.542450+1 5.000000+6 2.530200+1 5.500000+6 2.516440+1 5.875000+6 2.505620+1 6.437500+6 2.488470+1 6.500000+6 2.486550+1 7.000000+6 2.470700+1 7.500000+6 2.454130+1 8.250000+6 2.428320+1 8.500000+6 2.419750+1 9.000000+6 2.402300+1 9.750000+6 2.375450+1 1.000000+7 2.366600+1 1.109400+7 2.326340+1 1.187500+7 2.296960+1 1.250000+7 2.273600+1 1.437500+7 2.203190+1 1.500000+7 2.180300+1 1.750000+7 2.091100+1 2.000000+7 2.003300+1 2.250000+7 1.917560+1 2.500000+7 1.834000+1 2.750000+7 1.752510+1 2.875000+7 1.712370+1 3.000000+7 1.672900+1 3.343800+7 1.566760+1 3.437500+7 1.538720+1 3.718800+7 1.457530+1 4.000000+7 1.380900+1 4.437500+7 1.270830+1 4.500000+7 1.256050+1 5.000000+7 1.146800+1 5.750000+7 1.010270+1 6.000000+7 9.716500+0 6.750000+7 8.740790+0 7.000000+7 8.469700+0 7.750000+7 7.793040+0 8.000000+7 7.604200+0 8.750000+7 7.126090+0 9.000000+7 6.988900+0 1.000000+8 6.515000+0 1.125000+8 6.016100+0 1.187500+8 5.784680+0 1.218800+8 5.670980+0 1.250000+8 5.558600+0 1.312500+8 5.335490+0 1.406300+8 5.006540+0 1.500000+8 4.686600+0 1.589800+8 4.388310+0 1.665000+8 4.145230+0 1.748800+8 3.882380+0 1.750000+8 3.878700+0 1.838500+8 3.610460+0 1.919300+8 3.374690+0 2.000000+8 3.148800+0 2.250000+8 2.544630+0 2.281300+8 2.483780+0 2.359400+8 2.347910+0 2.429700+8 2.244810+0 2.500000+8 2.159400+0 2.562500+8 2.097470+0 2.835900+8 1.889890+0 2.918000+8 1.826980+0 3.000000+8 1.757800+0 3.062500+8 1.700090+0 3.335900+8 1.457540+0 3.418000+8 1.401230+0 3.500000+8 1.356200+0 3.589800+8 1.320240+0 3.665000+8 1.297870+0 3.712900+8 1.286260+0 4.000000+8 1.230400+0 4.125000+8 1.202240+0 4.234400+8 1.174730+0 4.425800+8 1.123410+0 5.000000+8 9.789000-1 5.625000+8 8.615970-1 5.875000+8 8.176330-1 6.000000+8 7.953000-1 7.000000+8 6.317000-1 7.625000+8 5.632150-1 7.875000+8 5.365960-1 8.000000+8 5.227000-1 8.242200+8 4.942570-1 8.461900+8 4.677090-1 8.743900+8 4.337560-1 9.057900+8 3.973550-1 9.529000+8 3.475930-1 1.000000+9 3.048000-1 1.218800+9 1.778870-1 1.289100+9 1.522840-1 1.394500+9 1.218140-1 1.473600+9 1.036070-1 1.500000+9 9.824100-2 1.562500+9 8.674500-2 1.671900+9 7.014820-2 1.753900+9 6.012230-2 1.877000+9 4.809480-2 2.000000+9 3.887300-2 2.187500+9 2.863800-2 2.445700+9 1.943980-2 2.682600+9 1.402670-2 2.972200+9 9.721200-3 3.344000+9 6.344220-3 3.935400+9 3.493300-3 5.000000+9 1.440300-3 8.000000+9 2.521200-4 9.500000+9 1.338190-4 1.00000+10 1.108700-4 1.20500+10 5.627380-5 1.41820+10 3.133480-5 1.56500+10 2.205920-5 1.86390+10 1.189760-5 2.17050+10 6.984430-6 2.41520+10 4.820820-6 2.88920+10 2.601670-6 3.54200+10 1.299990-6 4.14090+10 7.674530-7 4.87330+10 4.449520-7 5.81320+10 2.477230-7 7.30850+10 1.166370-7 9.32710+10 5.267320-8 1.00000+11 4.202700-8 1.17140+11 2.522290-8 1.55940+11 1.008880-8 2.04410+11 4.273620-9 2.99030+11 1.293630-9 4.21500+11 4.45147-10 7.29680+11 8.25676-11 1.61310+12 7.51834-12 4.52640+12 3.51828-13 2.12750+13 3.82888-15 1.00000+14 4.25890-17 5.62340+14 2.69377-19 7.49890+15 1.24664-22 1.00000+17 5.47220-26 1 26000 7 0 5.584700+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 5.00000-12 1.000000+2 5.00000-10 1.000000+3 5.000000-8 1.000000+4 5.000000-6 1.000000+5 5.000000-4 5.000000+5 1.250000-2 6.718700+5 2.257046-2 7.890600+5 3.113078-2 9.296900+5 4.321617-2 1.000000+6 5.000000-2 1.125000+6 6.314710-2 1.500000+6 1.109000-1 2.000000+6 1.947000-1 2.500000+6 2.995000-1 3.000000+6 4.233000-1 3.500000+6 5.637240-1 4.000000+6 7.183000-1 4.500000+6 8.845850-1 5.000000+6 1.060000+0 5.500000+6 1.241960+0 5.875000+6 1.381440+0 6.437500+6 1.593470+0 6.500000+6 1.617060+0 7.000000+6 1.806500+0 7.500000+6 1.994700+0 8.250000+6 2.273090+0 8.500000+6 2.364290+0 9.000000+6 2.544200+0 9.750000+6 2.805890+0 1.000000+7 2.891000+0 1.109400+7 3.249700+0 1.187500+7 3.494390+0 1.250000+7 3.684100+0 1.437500+7 4.228930+0 1.500000+7 4.405000+0 1.750000+7 5.096300+0 2.000000+7 5.781000+0 2.250000+7 6.463650+0 2.500000+7 7.138100+0 2.750000+7 7.795410+0 2.875000+7 8.116620+0 3.000000+7 8.432000+0 3.343800+7 9.265570+0 3.437500+7 9.485050+0 3.718800+7 1.012300+1 4.000000+7 1.073300+1 4.437500+7 1.162630+1 4.500000+7 1.174950+1 5.000000+7 1.268700+1 5.750000+7 1.395530+1 6.000000+7 1.434300+1 6.750000+7 1.539690+1 7.000000+7 1.571600+1 7.750000+7 1.657330+1 8.000000+7 1.683100+1 8.750000+7 1.752600+1 9.000000+7 1.773700+1 1.000000+8 1.848800+1 1.125000+8 1.927920+1 1.187500+8 1.963040+1 1.218800+8 1.979650+1 1.250000+8 1.995900+1 1.312500+8 2.026710+1 1.406300+8 2.069920+1 1.500000+8 2.109700+1 1.589800+8 2.144630+1 1.665000+8 2.171700+1 1.748800+8 2.199630+1 1.750000+8 2.200010+1 1.838500+8 2.227060+1 1.919300+8 2.249680+1 2.000000+8 2.270400+1 2.250000+8 2.324050+1 2.281300+8 2.329690+1 2.359400+8 2.343220+1 2.429700+8 2.354480+1 2.500000+8 2.365000+1 2.562500+8 2.373460+1 2.835900+8 2.405640+1 2.918000+8 2.413910+1 3.000000+8 2.421600+1 3.062500+8 2.426940+1 3.335900+8 2.448350+1 3.418000+8 2.454140+1 3.500000+8 2.459800+1 3.589800+8 2.465330+1 3.665000+8 2.469860+1 3.712900+8 2.472700+1 4.000000+8 2.488700+1 4.125000+8 2.494810+1 4.234400+8 2.500020+1 4.425800+8 2.508840+1 5.000000+8 2.531000+1 5.625000+8 2.549450+1 5.875000+8 2.555540+1 6.000000+8 2.558500+1 7.000000+8 2.575500+1 7.625000+8 2.582340+1 7.875000+8 2.584530+1 8.000000+8 2.585600+1 8.242200+8 2.587120+1 8.461900+8 2.588460+1 8.743900+8 2.590140+1 9.057900+8 2.591580+1 9.529000+8 2.593280+1 1.000000+9 2.594900+1 1.218800+9 2.598170+1 1.289100+9 2.598760+1 1.394500+9 2.599200+1 1.473600+9 2.599430+1 1.500000+9 2.599500+1 1.562500+9 2.599560+1 1.671900+9 2.599650+1 1.753900+9 2.599720+1 1.877000+9 2.599810+1 2.000000+9 2.599900+1 2.187500+9 2.599910+1 2.445700+9 2.599920+1 2.682600+9 2.599930+1 2.972200+9 2.599940+1 3.344000+9 2.599960+1 3.935400+9 2.599970+1 5.000000+9 2.600000+1 8.000000+9 2.600000+1 9.500000+9 2.600000+1 1.00000+10 2.600000+1 1.20500+10 2.600000+1 1.41820+10 2.600000+1 1.56500+10 2.600000+1 1.86390+10 2.600000+1 2.17050+10 2.600000+1 2.41520+10 2.600000+1 2.88920+10 2.600000+1 3.54200+10 2.600000+1 4.14090+10 2.600000+1 4.87330+10 2.600000+1 5.81320+10 2.600000+1 7.30850+10 2.600000+1 9.32710+10 2.600000+1 1.00000+11 2.600000+1 1.17140+11 2.600000+1 1.55940+11 2.600000+1 2.04410+11 2.600000+1 2.99030+11 2.600000+1 4.21500+11 2.600000+1 7.29680+11 2.600000+1 1.61310+12 2.600000+1 4.52640+12 2.600000+1 2.12750+13 2.600000+1 1.00000+14 2.600000+1 5.62340+14 2.600000+1 7.49890+15 2.600000+1 1.00000+17 2.600000+1 1 26000 7 0 5.584700+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.016965-6 0.0 3.782391-6 0.0 3.798684-6 3.134823+0 3.801011-6 3.578085+0 3.810321-6 6.535665+0 3.819631-6 1.102003+1 3.820679-6 1.170894+1 3.830083-6 2.170563+1 3.840663-6 3.464750+1 3.850067-6 4.888246+1 3.877104-6 9.644154+1 3.887095-6 1.108235+2 3.897434-6 1.199581+2 3.907174-6 1.216678+2 3.916651-6 1.161740+2 3.925814-6 1.046819+2 3.936908-6 8.475789+1 3.952336-6 5.376557+1 3.961741-6 3.671455+1 3.968589-6 2.621323+1 3.971145-6 2.280444+1 3.980549-6 1.358981+1 3.989953-6 7.475867+0 4.004059-6 1.900396+0 4.008761-6 0.0 5.070799-6 0.0 5.083280-6 6.14564-15 5.095761-6 1.21605-14 5.108242-6 2.22122-14 5.120723-6 3.74528-14 5.133204-6 5.82950-14 5.145685-6 8.37592-14 5.158167-6 1.11093-13 5.170648-6 1.36018-13 5.183129-6 1.53730-13 5.195610-6 1.60389-13 5.208091-6 1.54470-13 5.220572-6 1.37331-13 5.233053-6 1.12706-13 5.258016-6 5.97125-14 5.270497-6 3.85483-14 5.282978-6 2.29720-14 5.295459-6 1.26371-14 5.307940-6 6.41726-15 5.320421-6 0.0 5.826576-6 0.0 5.836541-6 4.047742-2 5.855259-6 2.843929-1 5.865273-6 4.399705-1 5.870855-6 5.641861-1 5.880177-6 8.007521-1 5.884571-6 9.462129-1 5.895099-6 1.339799+0 5.910743-6 2.092024+0 5.941307-6 3.802626+0 5.956285-6 4.473717+0 5.968415-6 4.787309+0 5.981098-6 4.869513+0 5.995719-6 4.578492+0 6.014807-6 3.735521+0 6.046930-6 1.954931+0 6.052164-6 1.683310+0 6.066668-6 1.068276+0 6.075776-6 7.852996-1 6.081172-6 6.256260-1 6.084721-6 5.472107-1 6.095676-6 3.381233-1 6.113404-6 9.926080-2 6.123859-6 5.672088-5 6.139188-6 3.281097-5 6.153691-6 1.803964-5 6.168195-6 9.101302-6 6.182239-6 1.759781-7 6.182699-6 0.0 6.507555-6 0.0 6.511605-6 3.198166-3 6.539590-6 7.599690-2 6.543660-6 8.858522-2 6.555607-6 1.399266-1 6.560912-6 1.681631-1 6.575715-6 2.675979-1 6.593052-6 4.271093-1 6.635695-6 9.012502-1 6.655853-6 1.057000+0 6.673400-6 1.092103+0 6.689470-6 1.037957+0 6.705540-6 9.110455-1 6.752017-6 3.977949-1 6.768045-6 2.557545-1 6.779853-6 1.771187-1 6.784072-6 1.518318-1 6.795870-6 9.969938-2 6.800100-6 8.322811-2 6.819380-6 3.215774-2 6.827905-6 1.698284-2 6.832155-6 1.292557-2 6.850900-6 3.071795-2 6.852950-6 3.304276-2 6.869735-6 6.006003-2 6.886520-6 1.008095-1 6.903305-6 1.562457-1 6.951580-6 3.531062-1 6.970445-6 4.062226-1 6.987230-6 4.236146-1 7.004015-6 4.147444-1 7.020800-6 3.769206-1 7.054370-6 2.727659-1 7.071302-6 2.319975-1 7.088496-6 2.102375-1 7.105689-6 2.097342-1 7.140076-6 2.347336-1 7.156070-6 2.403669-1 7.174464-6 2.526457-1 7.208851-6 2.476880-1 7.267060-6 2.272855-1 7.431026-6 1.998862-1 7.600000-6 1.793796-1 7.711882-6 1.628328-1 8.104289-6 1.219190-1 8.483056-6 9.116649-2 8.860837-6 6.753929-2 8.881386-6 6.643380-2 8.925107-6 7.010803-1 8.946967-6 1.226465+0 8.970194-6 2.091718+0 8.992346-6 3.216569+0 9.024235-6 5.246531+0 9.056269-6 7.504510+0 9.082618-6 8.894694+0 9.101873-6 9.542911+0 9.131297-6 9.755475+0 9.159267-6 9.410329+0 9.202518-6 8.421268+0 9.244479-6 7.151883+0 9.274773-6 5.919373+0 9.302199-6 4.621984+0 9.318594-6 3.727779+0 9.349901-6 2.434567+0 9.372095-6 1.649836+0 9.394289-6 1.044169+0 9.416483-6 6.213775-1 9.434179-6 4.021671-1 9.456467-6 1.514576-1 9.460872-6 1.062957-1 9.501044-6 3.926631-2 9.818346-6 2.937857-2 1.008729-5 2.261880-2 1.038144-5 1.665972-2 1.066046-5 1.216406-2 1.089728-5 9.092165-3 1.095092-5 1.240435-1 1.097774-5 2.192737-1 1.100457-5 3.638146-1 1.103418-5 5.866933-1 1.106748-5 8.985562-1 1.111186-5 1.369200+0 1.114963-5 1.649267+0 1.117005-5 1.753374+0 1.120408-5 1.801973+0 1.123130-5 1.766088+0 1.128868-5 1.569298+0 1.133340-5 1.350883+0 1.138405-5 1.007705+0 1.142440-5 6.935384-1 1.143372-5 6.132403-1 1.146953-5 3.941497-1 1.149675-5 2.575189-1 1.152398-5 1.560150-1 1.155120-5 8.799469-2 1.157226-5 5.562612-2 1.160566-5 3.138370-2 1.161610-5 3.684879-2 1.162923-5 4.697581-2 1.165771-5 8.328499-2 1.168620-5 1.385277-1 1.171468-5 2.143059-1 1.174618-5 3.193903-1 1.180013-5 5.279691-1 1.183292-5 6.264627-1 1.186183-5 6.833207-1 1.189074-5 7.108307-1 1.191965-5 7.161638-1 1.208497-5 6.118119-1 1.213143-5 5.706278-1 1.218100-5 5.404018-1 1.223830-5 5.271013-1 1.241401-5 5.837090-1 1.255900-5 5.626826-1 1.269528-5 5.463433-1 1.289421-5 5.624297-1 1.315142-5 5.945325-1 1.476236-5 7.054553-1 1.640590-5 8.713208-1 1.862087-5 1.160551+0 2.141822-5 1.595069+0 2.641660-5 2.526190+0 3.675700-5 4.561471+0 4.406065-5 5.659085+0 5.225686-5 6.426401+0 5.243078-5 6.832852+0 5.266581-5 1.242506+1 5.268889-5 1.302170+1 5.281794-5 1.819214+1 5.294699-5 2.585313+1 5.309719-5 3.811392+1 5.347126-5 7.311962+1 5.360409-5 8.059515+1 5.373755-5 8.233318+1 5.388476-5 7.740230+1 5.400741-5 6.986967+1 5.424365-5 5.062187+1 5.438447-5 4.187308+1 5.452089-5 3.735972+1 5.465343-5 3.676493+1 5.483498-5 4.001719+1 5.496567-5 4.234412+1 5.517140-5 4.533693+1 5.532775-5 4.317361+1 5.546863-5 3.830493+1 5.583408-5 2.105838+1 5.596661-5 1.595418+1 5.609915-5 1.219930+1 5.623168-5 9.710177+0 5.649675-5 6.671879+0 6.256231-5 6.910718+0 6.321739-5 7.197312+0 6.397016-5 7.956788+0 6.466792-5 7.938252+0 6.517724-5 8.016274+0 6.598413-5 8.268357+0 6.758415-5 8.175272+0 9.044258-5 7.725847+0 9.555402-5 7.772621+0 9.658747-5 8.297564+0 9.744122-5 8.699595+0 9.891776-5 8.134025+0 1.327265-4 7.826684+0 2.734482-4 5.363437+0 3.507519-4 4.348522+0 4.365158-4 3.526815+0 5.197341-4 2.939602+0 6.282666-4 2.375275+0 6.909443-4 2.132908+0 6.943456-4 3.988508+0 6.960463-4 5.529562+0 6.977560-4 7.882786+0 6.996501-4 1.153671+1 7.050834-4 2.425854+1 7.069534-4 2.705542+1 7.085504-4 2.813096+1 7.103432-4 2.779857+1 7.170702-4 2.201836+1 7.232000-4 1.899509+1 7.253780-4 1.714591+1 7.295000-4 1.454585+1 7.312095-4 1.379009+1 7.330000-4 1.340453+1 7.380273-4 1.354802+1 7.443700-4 1.489048+1 7.523000-4 1.540202+1 8.265015-4 1.388336+1 8.455229-4 1.498182+1 1.022937-3 1.173077+1 1.202264-3 9.380193+0 1.398851-3 7.502305+0 1.631173-3 5.937966+0 1.874522-3 4.773979+0 2.150692-3 3.827985+0 2.448856-3 3.095813+0 2.761325-3 2.534843+0 3.089462-3 2.098333+0 3.482371-3 1.711175+0 3.818343-3 1.460207+0 4.317520-3 1.179225+0 4.886581-3 9.484179-1 5.470196-3 7.763145-1 6.192959-3 6.219261-1 6.876772-3 5.156596-1 6.911815-3 5.165277-1 6.943927-3 5.479464-1 6.961836-3 5.924735-1 6.978666-3 6.678064-1 6.993183-3 7.700276-1 7.009885-3 9.391872-1 7.027223-3 1.180185+0 7.048652-3 1.568363+0 7.107093-3 2.809840+0 7.135155-3 3.267217+0 7.170902-3 3.600953+0 7.206778-3 3.719795+0 7.481880-3 3.573196+0 8.643302-3 2.850814+0 9.818185-3 2.310951+0 1.109175-2 1.888991+0 1.264401-2 1.508300+0 1.424857-2 1.226088+0 1.576470-2 1.023545+0 1.763357-2 8.373332-1 1.982026-2 6.756929-1 2.220772-2 5.471733-1 2.440884-2 4.581308-1 2.714999-2 3.742340-1 3.009830-2 3.068745-1 3.323246-2 2.532987-1 3.691630-2 2.061261-1 4.111395-2 1.665788-1 4.551676-2 1.359934-1 5.083606-2 1.088964-1 5.572058-2 9.040940-2 6.195334-2 7.290244-2 6.928265-2 5.792061-2 7.664427-2 4.704265-2 8.567540-2 3.736322-2 9.518393-2 3.003467-2 1.053174-1 2.433619-2 1.149603-1 2.028617-2 1.255845-1 1.688399-2 1.374100-1 1.400148-2 1.508403-1 1.153371-2 1.679431-1 9.238619-3 1.837492-1 7.685657-3 2.034927-1 6.238718-3 2.218778-1 5.236536-3 2.437906-1 4.335607-3 2.678475-1 3.604460-3 2.940610-1 3.008361-3 3.216368-1 2.537436-3 3.560762-1 2.101271-3 3.946844-1 1.746795-3 4.321768-1 1.491461-3 4.820865-1 1.242148-3 5.372596-1 1.044792-3 6.126277-1 8.570921-4 7.059111-1 7.044612-4 8.128305-1 5.886237-4 9.386420-1 4.990172-4 1.120601+0 4.152850-4 1.347258+0 3.428982-4 1.619761+0 2.831289-4 1.947381+0 2.337778-4 2.341267+0 1.930289-4 2.814822+0 1.593828-4 3.384160+0 1.316014-4 4.068655+0 1.086624-4 4.891600+0 8.972189-5 5.880996+0 7.408281-5 7.070513+0 6.116971-5 8.500626+0 5.050745-5 9.760024+0 4.374916-5 1.000000+1 8.715107-5 1 26000 7 0 5.584700+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-2.586374+1 2.469271-6-2.470966+1 3.040884-6-2.301306+1 3.324217-6-2.088611+1 3.471321-6-1.864974+1 3.557116-6-1.643542+1 3.619247-6-1.395154+1 3.664243-6-1.128277+1 3.691125-6-9.089408+0 3.707524-6-7.414070+0 3.725071-6-5.218274+0 3.732236-6-4.164343+0 3.738505-6-3.148185+0 3.743991-6-2.174909+0 3.748791-6-1.248564+0 3.752991-6-3.721350-1 3.756666-6 4.524198-1 3.763097-6 2.049020+0 3.767921-6 3.403866+0 3.774252-6 5.458714+0 3.778321-6 7.021102+0 3.781374-6 8.420009+0 3.783555-6 9.691048+0 3.798684-6 1.693991+1 3.810321-6 2.417048+1 3.819631-6 3.122411+1 3.822369-6 3.405276+1 3.832434-6 4.025674+1 3.842720-6 4.463006+1 3.852124-6 4.586858+1 3.860646-6 4.347179+1 3.867654-6 3.884394+1 3.873117-6 3.341614+1 3.877104-6 2.797444+1 3.882981-6 1.853470+1 3.886067-6 1.275343+1 3.887095-6 1.038995+1 3.891504-6 1.407734+0 3.892606-6-9.015818-1 3.894052-6-4.071235+0 3.895447-6-7.409110+0 3.896348-6-9.946880+0 3.898419-6-1.495789+1 3.903189-6-2.605621+1 3.905353-6-2.027766+1 3.907174-6-1.539829+1 3.912244-6-3.506495+0 3.913482-6-5.432857-1 3.914101-6 1.016668+0 3.914410-6 1.841271+0 3.915014-6 3.635390+0 3.915583-6 5.112446+0 3.917585-6 9.731127+0 3.925814-6 2.697399+1 3.929189-6 3.274743+1 3.934704-6 4.102633+1 3.940524-6 4.721000+1 3.947353-6 5.153459+1 3.952336-6 5.265464+1 3.960565-6 5.167883+1 3.968589-6 4.727205+1 3.993186-6 2.812237+1 4.007586-6 1.905431+1 4.009798-6 1.703345+1 4.013939-6 1.436269+1 4.020123-6 1.134575+1 4.028316-6 8.212170+0 4.036444-6 5.699655+0 4.044509-6 3.610342+0 4.048518-6 2.687753+0 4.052511-6 1.832874+0 4.060467-6 2.929742-1 4.068360-6-1.055219+0 4.076192-6-2.247654+0 4.083962-6-3.311291+0 4.099321-6-5.130792+0 4.114441-6-6.633317+0 4.136681-6-8.457019+0 4.165644-6-1.033569+1 4.207414-6-1.238270+1 4.272791-6-1.462652+1 4.367962-6-1.674314+1 4.526743-6-1.882787+1 4.824444-6-2.082324+1 5.777423-6-2.389004+1 5.870855-6-2.535819+1 5.922950-6-2.586530+1 5.956285-6-2.455554+1 6.007339-6-2.109410+1 6.038802-6-2.018354+1 6.084721-6-2.078703+1 6.168195-6-2.215117+1 6.628808-6-2.382268+1 6.747013-6-2.279027+1 6.961012-6-2.358890+1 7.866000-6-2.406623+1 8.628250-6-2.534939+1 8.809497-6-2.612261+1 8.900722-6-2.446746+1 9.000896-6-2.207805+1 9.044198-6-2.249906+1 9.093476-6-2.523797+1 9.101873-6-2.590029+1 9.131297-6-2.467723+1 9.197316-6-2.114020+1 9.274773-6-1.844790+1 9.318594-6-1.790339+1 9.388741-6-1.884640+1 9.510895-6-2.113664+1 9.722475-6-2.240888+1 1.094422-5-2.466759+1 1.111186-5-2.497291+1 1.135859-5-2.314018+1 1.153804-5-2.346441+1 1.181653-5-2.429895+1 1.252672-5-2.410529+1 2.805400-5-2.585703+1 4.220000-5-2.637653+1 4.650000-5-2.382362+1 4.855857-5-2.146866+1 4.990290-5-1.876183+1 5.075856-5-1.586339+1 5.117180-5-1.378396+1 5.152995-5-1.132590+1 5.176989-5-9.125070+0 5.193063-5-7.261534+0 5.207336-5-5.213598+0 5.215364-5-3.827425+0 5.220525-5-2.810526+0 5.223106-5-2.252277+0 5.225686-5-1.639559+0 5.230034-5-5.464827-1 5.233295-5 3.211717-1 5.235741-5 1.022116+0 5.239410-5 2.196495+0 5.241244-5 2.874801+0 5.242161-5 3.257885+0 5.244120-5 4.250760+0 5.245943-5 4.988187+0 5.251411-5 6.902778+0 5.266581-5 1.196598+1 5.283407-5 1.863834+1 5.299135-5 2.355903+1 5.311702-5 2.517148+1 5.318674-5 2.449016+1 5.326191-5 2.256088+1 5.332866-5 1.980495+1 5.339839-5 1.563915+1 5.345102-5 1.121576+1 5.347126-5 9.086742+0 5.353176-5 3.331726+0 5.354688-5 1.833451+0 5.355822-5 6.635649-1 5.357523-5-1.205438+0 5.358374-5-2.225190+0 5.358799-5-2.776334+0 5.359628-5-4.009897+0 5.360409-5-5.013333+0 5.364438-5-9.592265+0 5.370761-5-1.676559+1 5.374449-5-2.173281+1 5.377583-5-2.496293+1 5.385237-5-1.686695+1 5.389659-5-1.252866+1 5.399166-5-4.498353+0 5.400741-5-3.348990+0 5.402218-5-2.386990+0 5.403602-5-1.562903+0 5.404900-5-8.495156-1 5.407333-5 3.500972-1 5.409462-5 1.264010+0 5.411325-5 1.965518+0 5.412955-5 2.506024+0 5.415807-5 3.287442+0 5.417947-5 3.731933+0 5.419552-5 3.979849+0 5.421958-5 4.193481+0 5.423162-5 4.208988+0 5.430992-5 3.579970+0 5.432649-5 3.385109+0 5.435134-5 2.952918+0 5.436376-5 2.638572+0 5.436998-5 2.436727+0 5.438447-5 1.789485+0 5.440000-5 1.312327+0 5.445436-5-8.027464-2 5.448154-5-8.586817-1 5.449513-5-1.328371+0 5.450193-5-1.606520+0 5.451287-5-2.214969+0 5.452089-5-2.562659+0 5.453594-5-3.091232+0 5.456227-5-3.855873+0 5.463139-5-5.683492+0 5.465343-5-6.497649+0 5.468164-5-7.136828+0 5.473924-5-7.919466+0 5.479761-5-8.450647+0 5.485282-5-8.310157+0 5.489630-5-7.765328+0 5.491952-5-7.220056+0 5.501182-5-5.651486+0 5.503648-5-5.217844+0 5.507180-5-4.290605+0 5.512749-5-2.299241+0 5.514944-5-1.408051+0 5.516042-5-9.007170-1 5.516591-5-6.173070-1 5.517140-5-2.769099-1 5.530394-5 5.832830+0 5.532775-5 7.042126+0 5.546863-5 1.245594+1 5.553285-5 1.408144+1 5.564276-5 1.580849+1 5.575336-5 1.631241+1 5.583408-5 1.571734+1 5.595004-5 1.397303+1 5.609915-5 1.069880+1 5.625437-5 7.090854+0 5.645498-5 3.216274+0 5.647587-5 2.759609+0 5.650815-5 1.872186+0 5.652952-5 1.389340+0 5.656693-5 6.767237-1 5.662303-5-2.309441-1 5.667913-5-1.018070+0 5.675092-5-1.903539+0 5.682159-5-2.674845+0 5.695964-5-3.969923+0 5.715976-5-5.494953+0 5.741287-5-7.022581+0 5.776364-5-8.657866+0 5.828511-5-1.044243+1 5.911903-5-1.238153+1 6.052938-5-1.439678+1 6.357586-5-1.717124+1 6.480209-5-1.696065+1 6.598413-5-1.695614+1 9.479979-5-1.664102+1 9.658747-5-1.694083+1 9.823131-5-1.593203+1 1.017651-4-1.589185+1 1.482000-4-1.343646+1 1.927525-4-1.192679+1 2.526388-4-1.084488+1 3.245264-4-1.034747+1 4.078202-4-1.043242+1 4.944277-4-1.116199+1 5.623413-4-1.238549+1 6.069110-4-1.383397+1 6.371340-4-1.548383+1 6.597816-4-1.758294+1 6.687167-4-1.886340+1 6.814555-4-1.777958+1 6.870505-4-1.650300+1 6.898506-4-1.525552+1 6.932100-4-1.266070+1 6.979596-4-8.742538+0 6.996501-4-7.972504+0 7.006522-4-8.034181+0 7.019028-4-8.740981+0 7.026863-4-9.500202+0 7.041144-4-1.151613+1 7.049474-4-1.321128+1 7.065047-4-1.726092+1 7.087034-4-2.385705+1 7.107480-4-1.937350+1 7.127904-4-1.626551+1 7.150170-4-1.424440+1 7.170702-4-1.326571+1 7.205719-4-1.191946+1 7.240800-4-1.028502+1 7.286051-4-1.042092+1 7.330000-4-1.211955+1 7.362625-4-1.323372+1 7.394100-4-1.396527+1 7.443700-4-1.384559+1 7.651485-4-1.166988+1 7.870584-4-1.034521+1 8.119898-4-9.481952+0 8.265015-4-9.494578+0 8.354683-4-9.573217+0 8.426322-4-9.071797+0 8.524907-4-8.125275+0 8.698542-4-7.152411+0 9.006271-4-5.980560+0 9.468281-4-4.681513+0 9.915476-4-3.795327+0 1.052795-3-2.883126+0 1.112372-3-2.216369+0 1.168190-3-1.731083+0 1.202264-3-1.484056+0 1.243106-3-1.232123+0 1.301402-3-9.447570-1 1.336995-3-8.008383-1 1.398851-3-5.956212-1 1.464941-3-4.274395-1 1.533421-3-2.890704-1 1.578190-3-2.165456-1 1.611341-3-1.750089-1 1.642607-3-1.416702-1 1.689413-3-9.711032-2 1.730900-3-6.454309-2 1.768702-3-4.211226-2 1.808798-3-2.260449-2 1.820700-3-1.783326-2 1.847475-3-9.053425-3 1.873498-3-2.098402-3 1.882294-3-7.960531-5 1.884322-3 3.762698-4 1.889182-3 1.407417-3 1.892476-3 2.072692-3 1.939001-3 1.586658-2 1.990519-3 2.568373-2 2.009671-3 2.760534-2 2.039400-3 2.897221-2 2.076037-3 2.890901-2 2.150692-3 2.240400-2 2.181415-3 1.881333-2 2.209789-3 1.369907-2 2.227874-3 1.094516-2 2.274443-3 3.279262-3 2.282640-3 1.699421-3 2.324315-3-6.725683-3 2.334287-3-9.213056-3 2.384327-3-2.390636-2 2.563009-3-7.927329-2 2.660725-3-1.143213-1 3.089462-3-2.858242-1 3.988595-3-6.579718-1 4.886581-3-1.025303+0 5.470196-3-1.310474+0 5.955493-3-1.625339+0 6.278437-3-1.922093+0 6.528736-3-2.258465+0 6.702235-3-2.609522+0 6.814100-3-2.952185+0 6.901030-3-3.372153+0 6.961836-3-3.880335+0 7.052860-3-4.949681+0 7.088004-3-5.047838+0 7.126676-3-4.763352+0 7.206778-3-3.692918+0 7.253745-3-3.230894+0 7.327449-3-2.756530+0 7.418211-3-2.362160+0 7.521012-3-2.033969+0 7.681226-3-1.656883+0 7.855921-3-1.352855+0 8.089923-3-1.047285+0 8.374158-3-7.698078-1 8.643302-3-5.694208-1 8.870423-3-4.334310-1 9.097169-3-3.204191-1 9.327299-3-2.254766-1 9.549926-3-1.473273-1 9.684056-3-1.053926-1 9.818185-3-6.693545-2 1.000540-2-2.013376-2 1.011011-2 3.016917-3 1.023548-2 3.089986-2 1.053174-2 8.814911-2 1.080812-2 1.328357-1 1.109175-2 1.727588-1 1.140896-2 2.106877-1 1.170459-2 2.388212-1 1.231838-2 2.828839-1 1.326435-2 3.241792-1 1.460075-2 3.521352-1 1.636693-2 3.543699-1 1.902357-2 3.317426-1 2.714999-2 2.283701-1 3.223817-2 1.764574-1 3.786276-2 1.323243-1 4.252261-2 1.041399-1 4.681682-2 8.295512-2 5.224308-2 6.139577-2 5.699612-2 4.601794-2 6.195334-2 3.284797-2 6.651202-2 2.268444-2 7.043453-2 1.509637-2 7.394588-2 9.143114-3 7.664427-2 4.972112-3 7.826112-2 2.646937-3 8.008846-2 1.802011-4 8.026299-2-5.328858-5 8.216512-2-2.476350-3 8.392976-2-4.614562-3 8.740110-2-8.524013-3 9.257017-2-1.370529-2 1.001587-1-2.008972-2 1.086844-1-2.599133-2 1.218428-1-3.308061-2 1.413608-1-4.059391-2 1.679431-1-4.739411-2 2.104384-1-5.381535-2 2.762540-1-5.889349-2 4.184989-1-6.315939-2 8.128305-1-6.576923-2 2.451607+0-6.661879-2 7.403736+0-6.671220-2 1.000000+1-6.670477-2 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.484491-3 1.112714-6 1.492765-2 1.220325-6 2.223573-2 1.297787-6 2.914471-2 1.380166-6 3.836670-2 1.467774-6 5.075080-2 1.560943-6 6.749795-2 1.660027-6 9.033051-2 1.765399-6 1.217589-1 1.820568-6 1.417973-1 1.877461-6 1.655117-1 1.936131-6 1.936753-1 1.996636-6 2.272428-1 2.059030-6 2.672944-1 2.119986-6 3.123752-1 2.179037-6 3.628506-1 2.236242-6 4.192006-1 2.291660-6 4.818837-1 2.345346-6 5.513825-1 2.397354-6 6.282049-1 2.447737-6 7.128850-1 2.496545-6 8.059845-1 2.543829-6 9.080938-1 2.589634-6 1.019833+0 2.634008-6 1.141854+0 2.676996-6 1.274841+0 2.718640-6 1.419510+0 2.758983-6 1.576616+0 2.798065-6 1.746946+0 2.835926-6 1.931327+0 2.872603-6 2.130624+0 2.908135-6 2.345743+0 2.942556-6 2.577631+0 2.975901-6 2.827279+0 3.008204-6 3.095771+0 3.039498-6 3.384254+0 3.099183-6 4.023891+0 3.127634-6 4.377743+0 3.155195-6 4.756227+0 3.207762-6 5.592356+0 3.257094-6 6.543472+0 3.303391-6 7.622442+0 3.325461-6 8.215725+0 3.346840-6 8.847794+0 3.388263-6 1.025136+1 3.427097-6 1.182412+1 3.463504-6 1.358689+1 3.497636-6 1.555788+1 3.529634-6 1.775541+1 3.559633-6 2.019863+1 3.587756-6 2.290752+1 3.614122-6 2.590282+1 3.638840-6 2.920592+1 3.662013-6 3.283883+1 3.683738-6 3.682398+1 3.704105-6 4.118418+1 3.723199-6 4.594243+1 3.741099-6 5.112179+1 3.757881-6 5.674526+1 3.773614-6 6.283561+1 3.788364-6 6.941523+1 3.802191-6 7.650605+1 3.815155-6 8.412947+1 3.827308-6 9.230642+1 3.838702-6 1.010574+2 3.849384-6 1.104024+2 3.859398-6 1.203611+2 3.868786-6 1.309528+2 3.877587-6 1.421964+2 3.885839-6 1.541117+2 3.893574-6 1.667196+2 3.900826-6 1.800431+2 3.907625-6 1.941077+2 3.913999-6 2.089401+2 3.925950-6 2.421782+2 3.936408-6 2.789881+2 3.945558-6 3.193747+2 3.953564-6 3.630904+2 3.960570-6 4.096181+2 3.966700-6 4.582204+2 3.972063-6 5.080280+2 3.976756-6 5.581358+2 3.980863-6 6.076861+2 3.984456-6 6.559269+2 3.990744-6 7.527226+2 3.998997-6 9.074228+2 4.010842-6 1.195637+3 4.026880-6 1.737983+3 4.036749-6 2.171362+3 4.039216-6 2.292131+3 4.047852-6 2.753485+3 4.054323-6 3.136838+3 4.060566-6 3.533915+3 4.063385-6 3.720990+3 4.071844-6 4.304928+3 4.075272-6 4.548652+3 4.083064-6 5.108800+3 4.088518-6 5.498862+3 4.093854-6 5.871877+3 4.098820-6 6.205727+3 4.102967-6 6.470841+3 4.108300-6 6.788077+3 4.115005-6 7.140067+3 4.119824-6 7.354579+3 4.122334-6 7.451958+3 4.128177-6 7.637383+3 4.133298-6 7.748961+3 4.139297-6 7.815494+3 4.144600-6 7.814789+3 4.150312-6 7.751169+3 4.154668-6 7.659590+3 4.162227-6 7.416647+3 4.166975-6 7.213550+3 4.172823-6 6.915969+3 4.177206-6 6.663049+3 4.182127-6 6.353497+3 4.186238-6 6.078067+3 4.191523-6 5.706976+3 4.196510-6 5.345151+3 4.201496-6 4.977799+3 4.206991-6 4.573007+3 4.211469-6 4.247581+3 4.221443-6 3.553285+3 4.231416-6 2.921994+3 4.238117-6 2.541829+3 4.246376-6 2.126150+3 4.258499-6 1.622124+3 4.274645-6 1.129531+3 4.282624-6 9.496490+2 4.290540-6 8.048783+2 4.298410-6 6.886450+2 4.306219-6 5.955977+2 4.313967-6 5.209151+2 4.321654-6 4.606239+2 4.329281-6 4.115348+2 4.336849-6 3.711423+2 4.344357-6 3.375109+2 4.351807-6 3.091637+2 4.359199-6 2.849817+2 4.366532-6 2.641195+2 4.373809-6 2.459364+2 4.388248-6 2.156605+2 4.402462-6 1.915721+2 4.416454-6 1.719596+2 4.430227-6 1.557033+2 4.443785-6 1.420348+2 4.457131-6 1.304056+2 4.470268-6 1.204117+2 4.483200-6 1.117475+2 4.495930-6 1.041769+2 4.508462-6 9.751428+1 4.533132-6 8.627334+1 4.557032-6 7.726889+1 4.580185-6 6.991790+1 4.608000-6 6.248687+1 4.624343-6 5.870193+1 4.645393-6 5.435554+1 4.665785-6 5.063209+1 4.685539-6 4.741341+1 4.723813-6 4.206015+1 4.759696-6 3.787945+1 4.793335-6 3.454269+1 4.824872-6 3.183424+1 4.854438-6 2.960369+1 4.882156-6 2.774153+1 4.934128-6 2.472745+1 4.979603-6 2.249763+1 5.019393-6 2.080459+1 5.054210-6 1.949050+1 5.115140-6 1.748900+1 5.160837-6 1.619211+1 5.229383-6 1.450916+1 5.337049-6 1.233198+1 5.558732-6 9.044486+0 5.690210-6 7.488430+0 5.796800-6 6.277019+0 5.858153-6 5.552745+0 5.886464-6 5.197364+0 5.911237-6 4.868517+0 5.932913-6 4.562176+0 5.951879-6 4.275646+0 5.968475-6 4.007453+0 5.982996-6 3.757290+0 5.995702-6 3.525797+0 6.006820-6 3.314106+0 6.016548-6 3.123313+0 6.025060-6 2.954051+0 6.039956-6 2.661310+0 6.051128-6 2.456530+0 6.059507-6 2.320779+0 6.065791-6 2.234318+0 6.070505-6 2.180793+0 6.074039-6 2.148291+0 6.079342-6 2.113903+0 6.081993-6 2.104022+0 6.084644-6 2.099563+0 6.090134-6 2.109435+0 6.094251-6 2.135689+0 6.096810-6 2.160997+0 6.099033-6 2.188992+0 6.114597-6 2.565288+0 6.120114-6 2.785894+0 6.124942-6 3.021587+0 6.130957-6 3.374826+0 6.137005-6 3.800539+0 6.146543-6 4.622996+0 6.160818-6 6.210801+0 6.170789-6 7.568123+0 6.178403-6 8.730375+0 6.185425-6 9.886749+0 6.191663-6 1.097058+1 6.197731-6 1.206508+1 6.203614-6 1.315236+1 6.208229-6 1.401579+1 6.215232-6 1.532871+1 6.220808-6 1.636357+1 6.227609-6 1.759491+1 6.234410-6 1.877319+1 6.237750-6 1.932634+1 6.244671-6 2.040710+1 6.246598-6 2.069025+1 6.260664-6 2.248240+1 6.267850-6 2.318791+1 6.273595-6 2.364010+1 6.281532-6 2.409546+1 6.289237-6 2.434778+1 6.292384-6 2.439761+1 6.297891-6 2.441243+1 6.302020-6 2.436487+1 6.308215-6 2.420375+1 6.314410-6 2.394179+1 6.324269-6 2.333946+1 6.332829-6 2.265987+1 6.335682-6 2.240629+1 6.346934-6 2.130247+1 6.355079-6 2.042753+1 6.365689-6 1.923570+1 6.384176-6 1.714401+1 6.420591-6 1.352705+1 6.435760-6 1.233125+1 6.450929-6 1.132520+1 6.466098-6 1.049045+1 6.485326-6 9.637895+0 6.503353-6 9.001720+0 6.537153-6 8.097214+0 6.566728-6 7.496237+0 6.696118-6 5.593311+0 6.734935-6 5.048145+0 6.784869-6 4.362128+0 6.804867-6 4.147364+0 6.811571-6 4.091457+0 6.823771-6 4.016902+0 6.828254-6 3.999555+0 6.844938-6 3.989876+0 6.849109-6 4.002112+0 6.861622-6 4.076465+0 6.867311-6 4.129282+0 6.872289-6 4.185219+0 6.881000-6 4.304391+0 6.892434-6 4.499283+0 6.907135-6 4.804254+0 6.928356-6 5.313622+0 6.945040-6 5.726485+0 6.949211-6 5.826066+0 6.961724-6 6.106235+0 6.965895-6 6.191548+0 6.978407-6 6.416337+0 6.988295-6 6.555605+0 6.997733-6 6.653158+0 7.007171-6 6.714351+0 7.017815-6 6.739336+0 7.028458-6 6.719121+0 7.036800-6 6.673783+0 7.045142-6 6.604949+0 7.057189-6 6.469632+0 7.061826-6 6.407939+0 7.078509-6 6.152902+0 7.088720-6 5.979557+0 7.123104-6 5.383040+0 7.141064-6 5.106919+0 7.158512-6 4.884921+0 7.175960-6 4.717712+0 7.188476-6 4.633275+0 7.200000-6 4.581037+0 7.211944-6 4.550683+0 7.226025-6 4.541746+0 7.245752-6 4.565745+0 7.289372-6 4.671877+0 7.306820-6 4.700009+0 7.319906-6 4.708162+0 7.332992-6 4.704124+0 7.350440-6 4.680850+0 7.367888-6 4.641090+0 7.449354-6 4.402687+0 7.475789-6 4.343524+0 7.613262-6 4.097487+0 7.854216-6 3.649130+0 7.935962-6 3.503556+0 8.024811-6 3.341259+0 8.163796-6 3.088095+0 8.222426-6 2.982296+0 8.316804-6 2.809641+0 8.420999-6 2.614473+0 8.512069-6 2.441381+0 8.617235-6 2.238042+0 8.718880-6 2.036541+0 8.840326-6 1.785544+0 8.954374-6 1.536850+0 9.004270-6 1.423407+0 9.051047-6 1.314162+0 9.106993-6 1.179700+0 9.136014-6 1.108307+0 9.185969-6 9.828234-1 9.210692-6 9.195533-1 9.252600-6 8.107219-1 9.278975-6 7.413953-1 9.306101-6 6.696685-1 9.334014-6 5.957501-1 9.360182-6 5.267872-1 9.384715-6 4.629363-1 9.407715-6 4.043317-1 9.429277-6 3.510702-1 9.449492-6 3.031963-1 9.468443-6 2.606908-1 9.486209-6 2.234685-1 9.502866-6 1.913878-1 9.518481-6 1.642722-1 9.533120-6 1.419380-1 9.546844-6 1.242225-1 9.559711-6 1.110057-1 9.571773-6 1.022214-1 9.583082-6 9.785676-2 9.593684-6 9.794136-2 9.603623-6 1.025295-1 9.612941-6 1.116791-1 9.621676-6 1.254312-1 9.629866-6 1.437914-1 9.633705-6 1.545038-1 9.637424-6 1.663120-1 9.641026-6 1.792028-1 9.644516-6 1.931592-1 9.651173-6 2.241839-1 9.657420-6 2.591833-1 9.666704-6 3.234139-1 9.691671-6 5.908183-1 9.702415-6 7.617448-1 9.711452-6 9.389166-1 9.721122-6 1.168007+0 9.731980-6 1.481754+0 9.741049-6 1.796463+0 9.746879-6 2.027131+0 9.752709-6 2.281993+0 9.763212-6 2.807714+0 9.771651-6 3.298174+0 9.781288-6 3.939842+0 9.792114-6 4.773955+0 9.801110-6 5.565650+0 9.807013-6 6.136889+0 9.815869-6 7.074209+0 9.824725-6 8.111899+0 9.833976-6 9.306842+0 9.844733-6 1.084232+1 9.850384-6 1.171224+1 9.858860-6 1.309874+1 9.868843-6 1.485521+1 9.891445-6 1.929455+1 9.900721-6 2.128173+1 9.917379-6 2.504155+1 9.926788-6 2.724751+1 9.938014-6 2.992712+1 9.944750-6 3.154698+1 9.956002-6 3.424937+1 9.968135-6 3.712291+1 9.978909-6 3.960489+1 9.988864-6 4.181383+1 9.995173-6 4.316142+1 1.000573-5 4.531038+1 1.001713-5 4.746062+1 1.003120-5 4.984599+1 1.004110-5 5.133106+1 1.006606-5 5.434919+1 1.007916-5 5.552314+1 1.009464-5 5.657298+1 1.010992-5 5.728454+1 1.012184-5 5.764133+1 1.013888-5 5.788915+1 1.016080-5 5.782234+1 1.018689-5 5.726103+1 1.021520-5 5.609681+1 1.024281-5 5.436977+1 1.026751-5 5.228057+1 1.027719-5 5.131571+1 1.029100-5 4.979979+1 1.030913-5 4.757338+1 1.032660-5 4.520079+1 1.034475-5 4.254917+1 1.036244-5 3.983669+1 1.038084-5 3.694501+1 1.038698-5 3.597743+1 1.041152-5 3.215485+1 1.043100-5 2.924239+1 1.047290-5 2.362116+1 1.051331-5 1.924497+1 1.052980-5 1.776553+1 1.054578-5 1.649205+1 1.056126-5 1.539768+1 1.059124-5 1.362209+1 1.061935-5 1.230163+1 1.064571-5 1.130013+1 1.067042-5 1.052209+1 1.071675-5 9.366908+0 1.075728-5 8.581276+0 1.079275-5 8.011384+0 1.085482-5 7.196570+0 1.090138-5 6.694356+0 1.097121-5 6.062575+0 1.104104-5 5.535386+0 1.109539-5 5.177754+0 1.117692-5 4.704825+0 1.134123-5 3.901746+0 1.142436-5 3.538605+0 1.151804-5 3.139687+0 1.156740-5 2.925935+0 1.164604-5 2.565223+0 1.170146-5 2.285139+0 1.172917-5 2.135503+0 1.175688-5 1.980922+0 1.178459-5 1.824859+0 1.183871-5 1.541704+0 1.184599-5 1.508870+0 1.186784-5 1.423164+0 1.188241-5 1.379312+0 1.188970-5 1.362182+0 1.189698-5 1.348611+0 1.192612-5 1.335130+0 1.193341-5 1.343171+0 1.195526-5 1.397954+0 1.196528-5 1.439247+0 1.198440-5 1.547460+0 1.199288-5 1.607840+0 1.200255-5 1.685983+0 1.200980-5 1.750928+0 1.202068-5 1.858208+0 1.204631-5 2.154162+0 1.207448-5 2.537425+0 1.209671-5 2.869912+0 1.210783-5 3.042092+0 1.213053-5 3.398228+0 1.213748-5 3.507025+0 1.216342-5 3.904639+0 1.217562-5 4.083921+0 1.219890-5 4.406433+0 1.220806-5 4.524876+0 1.222523-5 4.732407+0 1.224130-5 4.908057+0 1.226655-5 5.144909+0 1.234542-5 5.545848+0 1.235461-5 5.556924+0 1.238217-5 5.543640+0 1.238914-5 5.529215+0 1.241003-5 5.459449+0 1.242149-5 5.404606+0 1.245672-5 5.167842+0 1.247494-5 5.009322+0 1.249195-5 4.843019+0 1.251396-5 4.607047+0 1.252130-5 4.524458+0 1.254883-5 4.204536+0 1.258989-5 3.726497+0 1.263777-5 3.229933+0 1.265229-5 3.101702+0 1.267540-5 2.923971+0 1.268890-5 2.836095+0 1.270915-5 2.726812+0 1.272940-5 2.644138+0 1.273948-5 2.612482+0 1.275460-5 2.576097+0 1.276972-5 2.552023+0 1.278539-5 2.538672+0 1.280107-5 2.535568+0 1.283242-5 2.553464+0 1.286378-5 2.592841+0 1.294258-5 2.720642+0 1.298107-5 2.777000+0 1.301231-5 2.815483+0 1.306513-5 2.863189+0 1.311029-5 2.884270+0 1.315134-5 2.885998+0 1.319685-5 2.869292+0 1.323235-5 2.845682+0 1.332676-5 2.768432+0 1.341147-5 2.715876+0 1.354680-5 2.655426+0 1.364483-5 2.595976+0 1.379210-5 2.497900+0 1.388776-5 2.448882+0 1.402371-5 2.400033+0 1.446027-5 2.283878+0 1.487869-5 2.165266+0 1.564992-5 1.965823+0 1.613216-5 1.863245+0 1.653741-5 1.789825+0 1.698244-5 1.720625+0 1.725000-5 1.685839+0 1.778279-5 1.632203+0 1.822843-5 1.599551+0 1.862087-5 1.585314+0 1.936771-5 1.587540+0 2.000000-5 1.618998+0 2.070000-5 1.700412+0 2.250000-5 2.036861+0 2.264644-5 2.072953+0 2.317395-5 2.229609+0 2.422322-5 2.592131+0 2.483133-5 2.842074+0 2.580000-5 3.299608+0 2.709272-5 4.024064+0 3.019952-5 6.298937+0 3.235937-5 8.283288+0 3.416293-5 1.015817+1 3.630781-5 1.259905+1 3.850000-5 1.526702+1 4.042423-5 1.768087+1 4.227120-5 2.001380+1 4.371290-5 2.181870+1 4.528886-5 2.375167+1 4.714496-5 2.598321+1 4.831666-5 2.729759+1 4.951245-5 2.860575+1 5.018439-5 2.951415+1 5.079698-5 3.053839+1 5.135392-5 3.170892+1 5.188000-5 3.309797+1 5.232059-5 3.454671+1 5.273911-5 3.625793+1 5.299677-5 3.752472+1 5.311960-5 3.819836+1 5.335758-5 3.965504+1 5.358068-5 4.123513+1 5.378984-5 4.294604+1 5.398592-5 4.479449+1 5.416975-5 4.678654+1 5.437815-5 4.941423+1 5.450366-5 5.122412+1 5.465513-5 5.368060+1 5.479714-5 5.630272+1 5.493027-5 5.909583+1 5.505508-5 6.206529+1 5.517209-5 6.521669+1 5.528178-5 6.855613+1 5.538462-5 7.209055+1 5.548103-5 7.582814+1 5.557142-5 7.977846+1 5.565615-5 8.395237+1 5.581007-5 9.301791+1 5.594971-5 1.034800+2 5.607190-5 1.151002+2 5.617881-5 1.278571+2 5.627236-5 1.416346+2 5.635422-5 1.562286+2 5.642584-5 1.713744+2 5.648851-5 1.867798+2 5.654335-5 2.021565+2 5.659133-5 2.172439+2 5.667530-5 2.478029+2 5.673828-5 2.746406+2 5.678551-5 2.972306+2 5.689178-5 3.566721+2 5.715216-5 5.616065+2 5.720796-5 6.176854+2 5.734757-5 7.771749+2 5.742557-5 8.775594+2 5.756623-5 1.075431+3 5.758381-5 1.101367+3 5.770688-5 1.287192+3 5.775523-5 1.360986+3 5.784753-5 1.500017+3 5.788880-5 1.560391+3 5.795899-5 1.658929+3 5.801273-5 1.729675+3 5.805662-5 1.783687+3 5.811422-5 1.848542+3 5.817439-5 1.907915+3 5.824919-5 1.968178+3 5.827828-5 1.987215+3 5.836070-5 2.026816+3 5.842306-5 2.042132+3 5.846697-5 2.045177+3 5.853588-5 2.037093+3 5.856501-5 2.029031+3 5.869606-5 1.960675+3 5.875841-5 1.911469+3 5.883269-5 1.841141+3 5.891460-5 1.751750+3 5.898643-5 1.666053+3 5.906421-5 1.568822+3 5.916911-5 1.436298+3 5.939685-5 1.176625+3 5.945798-5 1.119396+3 5.953977-5 1.053481+3 5.959220-5 1.017994+3 5.968042-5 9.703525+2 5.973630-5 9.478017+2 5.978810-5 9.318577+2 5.982777-5 9.226567+2 5.988445-5 9.136186+2 5.996835-5 9.078515+2 6.006095-5 9.094872+2 6.021703-5 9.220917+2 6.033412-5 9.316784+2 6.043225-5 9.352211+2 6.047892-5 9.346716+2 6.058197-5 9.271703+2 6.065399-5 9.162811+2 6.073992-5 8.969858+2 6.079148-5 8.821883+2 6.084421-5 8.646893+2 6.091343-5 8.383834+2 6.098017-5 8.098489+2 6.107482-5 7.650622+2 6.114722-5 7.282654+2 6.123772-5 6.803914+2 6.129202-5 6.511958+2 6.143683-5 5.739655+2 6.151475-5 5.339386+2 6.176736-5 4.182435+2 6.195418-5 3.499591+2 6.203141-5 3.261791+2 6.210743-5 3.051772+2 6.218227-5 2.866918+2 6.225594-5 2.704554+2 6.240097-5 2.435133+2 6.254147-5 2.227364+2 6.267758-5 2.065479+2 6.280944-5 1.937369+2 6.293718-5 1.834108+2 6.306092-5 1.749278+2 6.330068-5 1.616177+2 6.352545-5 1.517908+2 6.373617-5 1.442036+2 6.393373-5 1.381578+2 6.419280-5 1.314278+2 6.450853-5 1.246270+2 6.477004-5 1.198858+2 6.516155-5 1.139301+2 6.567567-5 1.076425+2 6.598101-5 1.045196+2 6.654749-5 9.957940+1 6.739099-5 9.343437+1 6.797420-5 8.980910+1 6.818531-5 8.876606+1 6.858301-5 8.758854+1 6.885662-5 8.760166+1 6.906522-5 8.810816+1 6.923332-5 8.879063+1 6.990824-5 9.246903+1 7.011470-5 9.337752+1 7.052325-5 9.455450+1 7.107689-5 9.572506+1 7.198088-5 9.866067+1 7.227214-5 9.943085+1 7.253162-5 9.990322+1 7.287698-5 1.002813+2 7.504633-5 1.018142+2 7.939074-5 1.041047+2 8.490000-5 1.062661+2 9.010000-5 1.085179+2 9.741705-5 1.120202+2 1.006448-4 1.129219+2 1.022676-4 1.126537+2 1.030676-4 1.122962+2 1.035161-4 1.123132+2 1.040257-4 1.129471+2 1.042805-4 1.136407+2 1.045656-4 1.147728+2 1.048802-4 1.164541+2 1.058597-4 1.231942+2 1.061201-4 1.248025+2 1.063950-4 1.261820+2 1.067077-4 1.272804+2 1.070536-4 1.279299+2 1.077168-4 1.280545+2 1.081787-4 1.278667+2 1.089375-4 1.279186+2 1.221707-4 1.403006+2 1.310720-4 1.477580+2 1.438513-4 1.575361+2 1.584893-4 1.674547+2 1.747833-4 1.770070+2 1.889646-4 1.838460+2 2.041738-4 1.898856+2 2.225871-4 1.956502+2 2.374789-4 1.993406+2 2.580327-4 2.030560+2 2.802205-4 2.058372+2 3.035168-4 2.075577+2 3.292493-4 2.081550+2 3.540483-4 2.077946+2 3.815322-4 2.063468+2 4.111618-4 2.038262+2 4.365158-4 2.007561+2 4.683245-4 1.955383+2 5.017285-4 1.888403+2 5.329596-4 1.812481+2 5.630624-4 1.725187+2 5.911454-4 1.628036+2 6.149565-4 1.531305+2 6.358010-4 1.432151+2 6.544162-4 1.329275+2 6.698370-4 1.231224+2 6.842150-4 1.126196+2 6.951865-4 1.035008+2 7.024844-4 9.676824+1 7.100502-4 8.910514+1 7.154912-4 8.309396+1 7.208387-4 7.670386+1 7.266046-4 6.922762+1 7.314554-4 6.263958+1 7.355941-4 5.741602+1 7.391363-4 5.405813+1 7.411881-4 5.291186+1 7.444509-4 5.270884+1 7.473696-4 5.460837+1 7.495314-4 5.761843+1 7.518339-4 6.276732+1 7.536125-4 6.848422+1 7.550278-4 7.435389+1 7.565539-4 8.220287+1 7.572798-4 8.654457+1 7.589008-4 9.776176+1 7.608144-4 1.138207+2 7.639396-4 1.463584+2 7.656589-4 1.669726+2 7.675172-4 1.905058+2 7.683738-4 2.015053+2 7.694701-4 2.154671+2 7.707700-4 2.315248+2 7.717973-4 2.435683+2 7.729195-4 2.558192+2 7.740676-4 2.671454+2 7.752699-4 2.774803+2 7.764625-4 2.860279+2 7.773739-4 2.913582+2 7.786442-4 2.970284+2 7.792033-4 2.988858+2 7.809218-4 3.022958+2 7.821419-4 3.028151+2 7.835887-4 3.017381+2 7.856062-4 2.979597+2 7.877666-4 2.921726+2 7.949805-4 2.704725+2 7.978037-4 2.615931+2 8.024134-4 2.457732+2 8.052611-4 2.365096+2 8.072000-4 2.313915+2 8.090190-4 2.279482+2 8.108000-4 2.260998+2 8.131793-4 2.261125+2 8.139158-4 2.266709+2 8.153678-4 2.284640+2 8.165000-4 2.304281+2 8.181000-4 2.338928+2 8.210024-4 2.415678+2 8.239421-4 2.501000+2 8.280625-4 2.615930+2 8.317638-4 2.705206+2 8.362795-4 2.793667+2 8.424030-4 2.884221+2 8.474713-4 2.941408+2 8.538214-4 2.998825+2 8.629856-4 3.064481+2 8.720610-4 3.113864+2 8.797818-4 3.142934+2 8.882361-4 3.158673+2 8.985824-4 3.157703+2 9.040559-4 3.163326+2 9.078386-4 3.180547+2 9.115678-4 3.213934+2 9.145985-4 3.254448+2 9.199510-4 3.350873+2 9.273309-4 3.503721+2 9.306860-4 3.567356+2 9.341560-4 3.624656+2 9.391861-4 3.691678+2 9.443136-4 3.744329+2 9.522477-4 3.807642+2 9.632744-4 3.878809+2 9.730270-4 3.933070+2 9.885531-4 4.008108+2 1.018986-3 4.126703+2 1.049372-3 4.217373+2 1.088616-3 4.305638+2 1.138692-3 4.380148+2 1.191041-3 4.434734+2 1.281622-3 4.489193+2 1.364828-3 4.506306+2 1.440184-3 4.501235+2 1.623762-3 4.416058+2 1.742845-3 4.346178+2 1.956786-3 4.193682+2 2.152240-3 4.047965+2 2.335810-3 3.911349+2 2.637045-3 3.689111+2 3.030549-3 3.416896+2 3.388442-3 3.181276+2 3.621116-3 3.037382+2 3.928930-3 2.856351+2 4.263877-3 2.671220+2 4.579521-3 2.506970+2 4.963423-3 2.320023+2 5.349301-3 2.144010+2 5.559043-3 2.053405+2 5.752673-3 1.971770+2 5.950200-3 1.890433+2 6.136833-3 1.814939+2 6.306766-3 1.746977+2 6.448662-3 1.690294+2 6.701633-3 1.588196+2 6.819894-3 1.539086+2 6.997629-3 1.461717+2 7.137423-3 1.395474+2 7.235104-3 1.344008+2 7.282524-3 1.316587+2 7.344285-3 1.277276+2 7.388691-3 1.245245+2 7.425790-3 1.214804+2 7.456648-3 1.185991+2 7.494942-3 1.144904+2 7.538290-3 1.091971+2 7.594456-3 1.023948+2 7.621088-3 9.993322+1 7.640365-3 9.873540+1 7.657068-3 9.818360+1 7.673889-3 9.812362+1 7.692026-3 9.862154+1 7.713635-3 9.992476+1 7.733924-3 1.017393+2 7.773650-3 1.063503+2 7.825521-3 1.128206+2 7.856595-3 1.162418+2 7.890348-3 1.193485+2 7.931859-3 1.223372+2 7.963994-3 1.241412+2 7.998741-3 1.257204+2 8.066050-3 1.280221+2 8.147563-3 1.299402+2 8.255299-3 1.315733+2 8.370585-3 1.325752+2 8.511743-3 1.331088+2 8.742930-3 1.329141+2 9.017739-3 1.316833+2 9.382385-3 1.290768+2 9.758002-3 1.257155+2 1.026687-2 1.207071+2 1.094114-2 1.139132+2 1.199012-2 1.039066+2 1.319265-2 9.364813+1 1.483906-2 8.174338+1 1.648406-2 7.192796+1 1.860367-2 6.161418+1 2.064220-2 5.355231+1 2.296341-2 4.603748+1 2.469244-2 4.134308+1 2.721168-2 3.558080+1 3.320516-2 2.584644+1 3.910592-2 1.980748+1 5.540968-2 1.099367+1 6.698655-2 7.929851+0 8.156359-2 5.611956+0 1.000877-1 3.886288+0 1.174898-1 2.895357+0 1.463602-1 1.916997+0 1.927525-1 1.135438+0 2.630268-1 6.237017-1 3.685895-1 3.228318-1 5.535094-1 1.447598-1 1.011579+0 4.364195-2 3.086391+0 4.701301-3 9.320751+0 5.156450-4 2.814822+1 5.654125-5 8.500626+1 6.199647-6 2.567148+2 6.797781-7 7.752663+2 7.453619-8 2.511886+3 7.100174-9 7.943282+3 7.10017-10 2.511886+4 7.10017-11 7.943282+4 7.10017-12 1.000000+5 4.47991-12 1 27000 7 7 5.893320+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.028600-6 1.258900-6 1.630200-6 1.584900-6 2.583600-6 1.995300-6 4.094700-6 2.511900-6 6.489700-6 3.162300-6 1.028500-5 3.981100-6 1.630100-5 5.011900-6 2.583600-5 6.309600-6 4.094600-5 7.943300-6 6.489500-5 1.000000-5 1.028500-4 1.258900-5 1.630000-4 1.584900-5 2.583400-4 1.995300-5 4.094300-4 2.511900-5 6.488900-4 3.162300-5 1.028200-3 3.981100-5 1.628800-3 5.011900-5 2.580300-3 6.309600-5 4.087800-3 7.943300-5 6.476400-3 1.000000-4 1.025200-2 1.258900-4 1.622300-2 1.584900-4 2.562000-2 1.995300-4 4.043500-2 2.511900-4 6.364100-2 3.162300-4 9.977600-2 3.981100-4 1.554000-1 5.011900-4 2.397400-1 6.309600-4 3.647100-1 7.943300-4 5.434700-1 1.000000-3 7.875600-1 1.258900-3 1.103100+0 1.584900-3 1.487300+0 1.995300-3 1.940100+0 2.511900-3 2.475600+0 3.162300-3 3.122600+0 3.981100-3 3.900700+0 5.011900-3 4.809000+0 6.309600-3 5.829300+0 7.943300-3 6.945000+0 1.000000-2 8.099900+0 1.258900-2 9.216700+0 1.584900-2 1.023500+1 1.995300-2 1.113600+1 2.511900-2 1.190500+1 3.162300-2 1.249700+1 3.981100-2 1.278800+1 5.011900-2 1.305800+1 6.309600-2 1.304000+1 7.943300-2 1.285200+1 1.000000-1 1.250200+1 1.258900-1 1.201000+1 1.584900-1 1.140600+1 1.995300-1 1.072600+1 2.511900-1 9.997300+0 3.162300-1 9.245500+0 3.981100-1 8.491800+0 5.011900-1 7.751100+0 6.309600-1 7.032900+0 7.943300-1 6.344200+0 1.000000+0 5.688800+0 1.258900+0 5.070400+0 1.584900+0 4.491100+0 1.995300+0 3.953000+0 2.511900+0 3.457600+0 3.162300+0 3.005900+0 3.981100+0 2.597800+0 5.011900+0 2.232800+0 6.309600+0 1.909100+0 7.943300+0 1.624500+0 1.000000+1 1.376200+0 1.258900+1 1.161200+0 1.584900+1 9.762600-1 1.995300+1 8.180300-1 2.511900+1 6.834000-1 3.162300+1 5.693800-1 3.981100+1 4.732300-1 5.011900+1 3.924500-1 6.309600+1 3.248000-1 7.943300+1 2.683300-1 1.000000+2 2.213100-1 1.258900+2 1.822500-1 1.584900+2 1.498800-1 1.995300+2 1.231000-1 2.511900+2 1.009900-1 3.162300+2 8.275800-2 3.981100+2 6.775000-2 5.011900+2 5.541200-2 6.309600+2 4.528200-2 7.943300+2 3.697300-2 1.000000+3 3.016500-2 1.258900+3 2.459300-2 1.584900+3 2.003700-2 1.995300+3 1.631400-2 2.511900+3 1.327500-2 3.162300+3 1.079600-2 3.981100+3 8.775000-3 5.011900+3 7.128500-3 6.309600+3 5.788100-3 7.943300+3 4.697500-3 1.000000+4 3.810600-3 1.258900+4 3.089900-3 1.584900+4 2.504400-3 1.995300+4 2.029000-3 2.511900+4 1.643200-3 3.162300+4 1.330300-3 3.981100+4 1.076600-3 5.011900+4 8.709800-4 6.309600+4 7.043900-4 7.943300+4 5.694800-4 1.000000+5 4.602700-4 1 27000 7 7 5.893320+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510163-4 3.162278-4 3.159550-4 3.981072-4 3.976749-4 5.011872-4 5.005047-4 6.309573-4 6.298841-4 7.943282-4 7.926409-4 1.000000-3 9.973519-4 1.258925-3 1.254800-3 1.584893-3 1.578468-3 1.995262-3 1.985293-3 2.511886-3 2.496337-3 3.162278-3 3.137980-3 3.981072-3 3.942974-3 5.011872-3 4.952200-3 6.309573-3 6.216231-3 7.943282-3 7.798155-3 1.000000-2 9.774899-3 1.258925-2 1.224195-2 1.584893-2 1.531536-2 1.995262-2 1.913492-2 2.511886-2 2.386834-2 3.162278-2 2.971695-2 3.981072-2 3.691807-2 5.011872-2 4.576504-2 6.309573-2 5.657842-2 7.943282-2 6.971342-2 1.000000-1 8.563572-2 1.258925-1 1.048470-1 1.584893-1 1.279432-1 1.995262-1 1.555875-1 2.511886-1 1.885579-1 3.162278-1 2.277447-1 3.981072-1 2.741568-1 5.011872-1 3.289764-1 6.309573-1 3.935754-1 7.943282-1 4.696083-1 1.000000+0 5.591288-1 1.258925+0 6.644761-1 1.584893+0 7.888301-1 1.995262+0 9.359502-1 2.511886+0 1.110471+0 3.162278+0 1.318207+0 3.981072+0 1.566072+0 5.011872+0 1.862855+0 6.309573+0 2.219022+0 7.943282+0 2.647525+0 1.000000+1 3.164103+0 1.258925+1 3.788114+0 1.584893+1 4.543230+0 1.995262+1 5.458385+0 2.511886+1 6.569156+0 3.162278+1 7.919106+0 3.981072+1 9.561553+0 5.011872+1 1.156231+1 6.309573+1 1.400187+1 7.943282+1 1.697955+1 1.000000+2 2.061692+1 1.258925+2 2.506418+1 1.584893+2 3.050580+1 1.995262+2 3.716902+1 2.511886+2 4.533416+1 3.162278+2 5.534665+1 3.981072+2 6.763117+1 5.011872+2 8.271448+1 6.309573+2 1.012437+2 7.943282+2 1.240200+2 1.000000+3 1.520275+2 1.258925+3 1.864908+2 1.584893+3 2.289206+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739824-9 3.981072-5 4.341826-9 5.011872-5 6.880930-9 6.309573-5 1.090520-8 7.943282-5 1.728272-8 1.000000-4 2.738396-8 1.258925-4 4.338911-8 1.584893-4 6.871998-8 1.995262-4 1.088583-7 2.511886-4 1.723573-7 3.162278-4 2.727311-7 3.981072-4 4.322542-7 5.011872-4 6.824949-7 6.309573-4 1.073257-6 7.943282-4 1.687360-6 1.000000-3 2.648111-6 1.258925-3 4.125838-6 1.584893-3 6.424895-6 1.995262-3 9.969558-6 2.511886-3 1.554958-5 3.162278-3 2.429777-5 3.981072-3 3.809793-5 5.011872-3 5.967227-5 6.309573-3 9.334214-5 7.943282-3 1.451270-4 1.000000-2 2.251014-4 1.258925-2 3.473051-4 1.584893-2 5.335711-4 1.995262-2 8.177065-4 2.511886-2 1.250521-3 3.162278-2 1.905822-3 3.981072-2 2.892647-3 5.011872-2 4.353682-3 6.309573-2 6.517309-3 7.943282-2 9.719404-3 1.000000-1 1.436428-2 1.258925-1 2.104553-2 1.584893-1 3.054612-2 1.995262-1 4.393874-2 2.511886-1 6.263076-2 3.162278-1 8.848309-2 3.981072-1 1.239503-1 5.011872-1 1.722108-1 6.309573-1 2.373819-1 7.943282-1 3.247199-1 1.000000+0 4.408712-1 1.258925+0 5.944494-1 1.584893+0 7.960631-1 1.995262+0 1.059312+0 2.511886+0 1.401415+0 3.162278+0 1.844071+0 3.981072+0 2.415000+0 5.011872+0 3.149017+0 6.309573+0 4.090551+0 7.943282+0 5.295757+0 1.000000+1 6.835897+0 1.258925+1 8.801140+0 1.584893+1 1.130570+1 1.995262+1 1.449424+1 2.511886+1 1.854971+1 3.162278+1 2.370367+1 3.981072+1 3.024916+1 5.011872+1 3.855642+1 6.309573+1 4.909386+1 7.943282+1 6.245328+1 1.000000+2 7.938308+1 1.258925+2 1.008284+2 1.584893+2 1.279835+2 1.995262+2 1.623572+2 2.511886+2 2.058545+2 3.162278+2 2.608811+2 3.981072+2 3.304760+2 5.011872+2 4.184727+2 6.309573+2 5.297137+2 7.943282+2 6.703082+2 1.000000+3 8.479725+2 1.258925+3 1.072435+3 1.584893+3 1.355973+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 7.810000-6 1.986718+6 7.852356-6 1.926151+6 7.960000-6 1.769008+6 8.222426-6 1.431398+6 8.500000-6 1.142876+6 8.770000-6 9.165900+5 9.015711-6 7.480586+5 9.225714-6 6.275752+5 9.440609-6 5.230400+5 9.650000-6 4.366000+5 9.850000-6 3.661920+5 1.005000-5 3.059880+5 1.023293-5 2.586517+5 1.042000-5 2.168620+5 1.060000-5 1.821592+5 1.077000-5 1.537336+5 1.092700-5 1.307950+5 1.105000-5 1.148190+5 1.120000-5 9.747140+4 1.131000-5 8.611000+4 1.142000-5 7.580080+4 1.154000-5 6.566060+4 1.165000-5 5.729940+4 1.177100-5 4.905099+4 1.188502-5 4.211465+4 1.199500-5 3.613250+4 1.207000-5 3.242380+4 1.216186-5 2.826543+4 1.226000-5 2.425960+4 1.235000-5 2.095700+4 1.242000-5 1.861928+4 1.250000-5 1.618036+4 1.258000-5 1.397656+4 1.265000-5 1.223052+4 1.272000-5 1.064568+4 1.277000-5 9.607820+3 1.282000-5 8.645200+3 1.288250-5 7.543692+3 1.295000-5 6.475280+3 1.302000-5 5.494040+3 1.310000-5 4.522220+3 1.318257-5 3.677080+3 1.332000-5 2.600200+3 1.337000-5 2.303880+3 1.342000-5 2.055480+3 1.346000-5 1.890028+3 1.348963-5 1.785979+3 1.352300-5 1.687132+3 1.355000-5 1.621064+3 1.358000-5 1.561892+3 1.361000-5 1.517380+3 1.364000-5 1.487184+3 1.366500-5 1.472714+3 1.369000-5 1.467764+3 1.371000-5 1.470532+3 1.372000-5 1.475568+3 1.372000-5 2.044112+6 1.374000-5 2.043126+6 1.377000-5 2.041664+6 1.380000-5 2.040219+6 1.382000-5 2.039265+6 1.385000-5 2.037848+6 1.388500-5 2.036214+6 1.392000-5 2.034603+6 1.393000-5 2.034147+6 1.393000-5 3.382501+6 1.397000-5 3.379266+6 1.402000-5 3.375269+6 1.412538-5 3.367002+6 1.423000-5 3.362403+6 1.432000-5 3.358571+6 1.435000-5 3.357314+6 1.440400-5 3.356094+6 1.447000-5 3.354640+6 1.455000-5 3.352937+6 1.462177-5 3.351461+6 1.470000-5 3.352520+6 1.479108-5 3.353802+6 1.487000-5 3.356660+6 1.496236-5 3.360034+6 1.507000-5 3.364003+6 1.513561-5 3.366427+6 1.518000-5 3.369429+6 1.530000-5 3.377527+6 1.531087-5 3.378258+6 1.540100-5 3.386266+6 1.550000-5 3.395056+6 1.560000-5 3.403929+6 1.570000-5 3.412793+6 1.585000-5 3.430054+6 1.590000-5 3.435783+6 1.600000-5 3.449084+6 1.615000-5 3.468970+6 1.630000-5 3.488801+6 1.645000-5 3.512111+6 1.650000-5 3.519854+6 1.660000-5 3.536994+6 1.680000-5 3.571169+6 1.698244-5 3.602240+6 1.700000-5 3.605600+6 1.717908-5 3.639707+6 1.723400-5 3.650965+6 1.750000-5 3.705287+6 1.778279-5 3.762880+6 1.800000-5 3.810721+6 1.830000-5 3.880475+6 1.862087-5 3.954996+6 1.900000-5 4.048549+6 1.935000-5 4.138386+6 1.980000-5 4.253977+6 2.000000-5 4.305329+6 2.018366-5 4.354806+6 2.020000-5 4.359356+6 2.070000-5 4.498569+6 2.130000-5 4.666243+6 2.190000-5 4.834590+6 2.250000-5 5.003619+6 2.317395-5 5.194305+6 2.400000-5 5.429246+6 2.483133-5 5.667072+6 2.580000-5 5.945979+6 2.600160-5 6.002214+6 2.691535-5 6.252911+6 2.818383-5 6.602635+6 2.951209-5 6.944468+6 3.019952-5 7.121634+6 3.090295-5 7.286683+6 3.230000-5 7.613809+6 3.235937-5 7.627088+6 3.273407-5 7.704886+6 3.427678-5 8.023482+6 3.450000-5 8.065789+6 3.467369-5 8.096810+6 3.630781-5 8.386363+6 3.650000-5 8.416875+6 3.672823-5 8.450395+6 3.850000-5 8.707564+6 3.935501-5 8.805037+6 4.027170-5 8.908135+6 4.070000-5 8.949251+6 4.216965-5 9.071040+6 4.220000-5 9.073520+6 4.300000-5 9.126392+6 4.415704-5 9.188552+6 4.518559-5 9.226154+6 4.650000-5 9.259700+6 4.731513-5 9.267254+6 4.900000-5 9.265244+6 5.000000-5 9.249254+6 5.188000-5 9.201328+6 5.300000-5 9.158075+6 5.308844-5 9.153934+6 5.500000-5 9.066198+6 5.623413-5 8.997038+6 5.754399-5 8.916162+6 5.821032-5 8.875903+6 5.956621-5 8.782627+6 6.237348-5 8.581095+6 6.382635-5 8.469161+6 6.683439-5 8.234346+6 6.800000-5 8.139588+6 6.839116-5 8.108353+6 7.161434-5 7.847962+6 7.226000-5 7.794607+6 7.226000-5 8.531899+6 7.270000-5 8.487210+6 7.328245-5 8.426025+6 7.360000-5 8.391896+6 7.413102-5 8.333083+6 7.417000-5 8.328801+6 7.417000-5 8.679211+6 7.450000-5 8.640257+6 7.498942-5 8.581319+6 7.585776-5 8.476672+6 7.590000-5 8.471515+6 7.673615-5 8.368998+6 7.700000-5 8.335837+6 7.810000-5 8.199082+6 7.852356-5 8.147307+6 8.000000-5 7.968048+6 8.080000-5 7.874467+6 8.128305-5 7.820007+6 8.222426-5 7.716351+6 8.230000-5 7.707771+6 8.317638-5 7.611584+6 8.350000-5 7.576956+6 8.413951-5 7.510805+6 8.450000-5 7.472807+6 8.485300-5 7.436295+6 8.610000-5 7.312834+6 8.730000-5 7.201484+6 8.738900-5 7.193535+6 8.810489-5 7.130866+6 8.850000-5 7.094991+6 8.912509-5 7.040479+6 8.950000-5 7.008154+6 9.015711-5 6.953732+6 9.070000-5 6.907815+6 9.190000-5 6.811462+6 9.225714-5 6.783600+6 9.332543-5 6.703524+6 9.400000-5 6.651632+6 9.450000-5 6.614488+6 9.549926-5 6.542191+6 9.580000-5 6.519965+6 9.720000-5 6.421362+6 9.800000-5 6.366968+6 9.885531-5 6.310859+6 9.900000-5 6.301475+6 1.000000-4 6.234661+6 1.011579-4 6.160334+6 1.035142-4 6.010916+6 1.040000-4 5.981475+6 1.047129-4 5.939234+6 1.080000-4 5.743804+6 1.096900-4 5.646278+6 1.096900-4 5.973234+6 1.109175-4 5.903426+6 1.122018-4 5.828796+6 1.150000-4 5.674441+6 1.190000-4 5.462851+6 1.205000-4 5.385190+6 1.230269-4 5.259185+6 1.244515-4 5.189565+6 1.260000-4 5.116135+6 1.300000-4 4.928366+6 1.303167-4 4.914242+6 1.318257-4 4.847904+6 1.350000-4 4.710248+6 1.364583-4 4.649826+6 1.400000-4 4.504332+6 1.412538-4 4.455062+6 1.462177-4 4.265899+6 1.520000-4 4.057115+6 1.531087-4 4.018729+6 1.548817-4 3.957792+6 1.566751-4 3.898225+6 1.584893-4 3.839758+6 1.603245-4 3.780914+6 1.650000-4 3.635435+6 1.659587-4 3.606843+6 1.678804-4 3.548938+6 1.720000-4 3.430305+6 1.737801-4 3.380038+6 1.778279-4 3.269320+6 1.800000-4 3.211537+6 1.820000-4 3.159685+6 1.850000-4 3.083661+6 1.883649-4 3.000462+6 1.900000-4 2.961387+6 1.927525-4 2.897304+6 1.949845-4 2.845633+6 2.000000-4 2.735735+6 2.041738-4 2.647954+6 2.065380-4 2.599634+6 2.120000-4 2.492797+6 2.137962-4 2.459185+6 2.162719-4 2.413390+6 2.238721-4 2.280206+6 2.264644-4 2.237007+6 2.300000-4 2.180242+6 2.344229-4 2.111708+6 2.371374-4 2.070846+6 2.450000-4 1.959326+6 2.454709-4 1.952879+6 2.511886-4 1.876754+6 2.600160-4 1.767744+6 2.660725-4 1.697056+6 2.722701-4 1.629094+6 2.730000-4 1.621327+6 2.786121-4 1.563402+6 2.851018-4 1.499704+6 2.884032-4 1.468733+6 2.985383-4 1.378968+6 3.000000-4 1.366734+6 3.054921-4 1.321312+6 3.162278-4 1.238927+6 3.235937-4 1.186651+6 3.280000-4 1.156705+6 3.311311-4 1.136040+6 3.349654-4 1.111369+6 3.507519-4 1.018221+6 3.589219-4 9.738597+5 3.600000-4 9.681980+5 3.715352-4 9.105421+5 3.801894-4 8.708711+5 3.890451-4 8.323454+5 3.935501-4 8.136338+5 4.000000-4 7.878106+5 4.120975-4 7.425852+5 4.216965-4 7.090910+5 4.365158-4 6.613324+5 4.415704-4 6.460990+5 4.500000-4 6.218059+5 4.623810-4 5.881883+5 4.731513-4 5.610224+5 4.841724-4 5.351102+5 4.897788-4 5.225707+5 4.954502-4 5.103031+5 5.069907-4 4.863677+5 5.370318-4 4.312768+5 5.400000-4 4.263414+5 5.432503-4 4.209586+5 5.495409-4 4.108030+5 5.559043-4 4.008693+5 5.888437-4 3.545682+5 6.000000-4 3.405452+5 6.025596-4 3.374346+5 6.095369-4 3.291501+5 6.200000-4 3.172144+5 6.456542-4 2.904865+5 6.531306-4 2.832486+5 6.683439-4 2.693368+5 6.760830-4 2.626303+5 7.161434-4 2.313692+5 7.413102-4 2.142092+5 7.498942-4 2.087899+5 7.500000-4 2.087242+5 7.585776-4 2.034600+5 7.922900-4 1.845507+5 7.922900-4 5.020627+5 7.924600-4 5.109393+5 7.928000-4 5.322300+5 7.931000-4 5.501960+5 7.934000-4 5.676063+5 7.939000-4 5.951024+5 7.943282-4 6.173478+5 7.947000-4 6.357663+5 7.952000-4 6.593891+5 7.958000-4 6.859123+5 7.965000-4 7.145484+5 7.972000-4 7.409735+5 7.980000-4 7.686682+5 7.987000-4 7.908117+5 7.997000-4 8.192785+5 8.007000-4 8.443234+5 8.018000-4 8.682398+5 8.030000-4 8.903962+5 8.045000-4 9.129490+5 8.059200-4 9.296557+5 8.072000-4 9.413496+5 8.075400-4 9.435743+5 8.075400-4 1.095734+6 8.077000-4 1.100864+6 8.080500-4 1.113904+6 8.083500-4 1.124701+6 8.086500-4 1.135204+6 8.090000-4 1.146976+6 8.091000-4 1.150173+6 8.095500-4 1.163537+6 8.100000-4 1.176416+6 8.106000-4 1.192679+6 8.108000-4 1.197751+6 8.111000-4 1.204852+6 8.118000-4 1.220355+6 8.124000-4 1.232814+6 8.130000-4 1.244516+6 8.137000-4 1.256034+6 8.145000-4 1.268069+6 8.150000-4 1.274824+6 8.153700-4 1.279391+6 8.164000-4 1.290435+6 8.175000-4 1.300512+6 8.180000-4 1.304302+6 8.187000-4 1.308590+6 8.198000-4 1.313740+6 8.212000-4 1.318404+6 8.222426-4 1.320399+6 8.228000-4 1.321493+6 8.236900-4 1.322094+6 8.243000-4 1.322522+6 8.265000-4 1.321419+6 8.290000-4 1.317292+6 8.317638-4 1.310288+6 8.350000-4 1.300056+6 8.413951-4 1.277107+6 8.511380-4 1.243237+6 8.780000-4 1.156243+6 8.810489-4 1.146261+6 9.050000-4 1.071807+6 9.120108-4 1.050725+6 9.225714-4 1.020023+6 9.229500-4 1.018983+6 9.229500-4 1.155613+6 9.440609-4 1.096020+6 9.549926-4 1.067392+6 9.700000-4 1.029827+6 9.850000-4 9.941383+5 1.011579-3 9.346685+5 1.023293-3 9.098502+5 1.071519-3 8.166834+5 1.083927-3 7.949532+5 1.096478-3 7.737147+5 1.135011-3 7.133896+5 1.148154-3 6.943577+5 1.150000-3 6.917023+5 1.216186-3 6.048596+5 1.230269-3 5.884023+5 1.273503-3 5.417409+5 1.288250-3 5.266122+5 1.364583-3 4.571847+5 1.380384-3 4.444510+5 1.450000-3 3.930111+5 1.462177-3 3.848921+5 1.513561-3 3.531482+5 1.548817-3 3.334847+5 1.566751-3 3.240021+5 1.621810-3 2.971753+5 1.640590-3 2.886340+5 1.678804-3 2.721979+5 1.717908-3 2.566566+5 1.737801-3 2.492302+5 1.778279-3 2.350191+5 1.795500-3 2.293164+5 1.800000-3 2.278448+5 1.819701-3 2.215262+5 1.949845-3 1.854045+5 1.950000-3 1.853666+5 2.018366-3 1.695723+5 2.041738-3 1.646085+5 2.050000-3 1.629029+5 2.089296-3 1.551201+5 2.150000-3 1.439174+5 2.187762-3 1.374820+5 2.290868-3 1.218343+5 2.317395-3 1.182163+5 2.371374-3 1.113048+5 2.426610-3 1.047388+5 2.483133-3 9.857154+4 2.500000-3 9.682764+4 2.600160-3 8.725607+4 2.630268-3 8.463917+4 2.691535-3 7.964226+4 2.722701-3 7.723938+4 2.800000-3 7.167773+4 2.818383-3 7.043139+4 2.884032-3 6.621646+4 2.917427-3 6.420721+4 2.951209-3 6.225922+4 3.000000-3 5.958897+4 3.090295-3 5.505317+4 3.198895-3 5.018133+4 3.349654-3 4.430054+4 3.388442-3 4.294430+4 3.427678-3 4.163021+4 3.548134-3 3.792768+4 3.630781-3 3.563410+4 3.672823-3 3.453701+4 3.801894-3 3.142997+4 3.845918-3 3.045941+4 4.000000-3 2.737268+4 4.073803-3 2.604659+4 4.120975-3 2.524066+4 4.168694-3 2.445971+4 4.265795-3 2.295640+4 4.315191-3 2.224071+4 4.365158-3 2.154798+4 4.677351-3 1.783160+4 4.786301-3 1.673709+4 4.800000-3 1.660615+4 4.841724-3 1.621284+4 4.897788-3 1.570283+4 5.000000-3 1.482883+4 5.308844-3 1.256441+4 5.432503-3 1.179148+4 5.559043-3 1.106289+4 5.623413-3 1.071319+4 5.688529-3 1.037484+4 6.095369-3 8.557526+3 6.309573-3 7.774599+3 6.382635-3 7.528900+3 6.456542-3 7.291195+3 6.531306-3 7.059264+3 6.683439-3 6.617693+3 7.000000-3 5.812139+3 7.328245-3 5.113090+3 7.413102-3 4.950577+3 7.498942-3 4.792075+3 7.585776-3 4.638732+3 7.680700-3 4.478735+3 7.680700-3 3.505659+4 7.852356-3 3.322808+4 7.943282-3 3.231376+4 8.035261-3 3.139280+4 8.150000-3 3.029474+4 8.511380-3 2.711769+4 8.609938-3 2.633132+4 8.709636-3 2.556749+4 8.810489-3 2.482591+4 9.150000-3 2.253914+4 9.225714-3 2.205268+4 9.332543-3 2.139048+4 9.800000-3 1.879431+4 1.000000-2 1.781478+4 1.011579-2 1.727938+4 1.035142-2 1.625648+4 1.083927-2 1.438942+4 1.135011-2 1.273714+4 1.148154-2 1.235427+4 1.161449-2 1.198297+4 1.174898-2 1.162273+4 1.190000-2 1.123572+4 1.216186-2 1.058906+4 1.258925-2 9.638694+3 1.273503-2 9.341288+3 1.318257-2 8.503034+3 1.348963-2 7.985948+3 1.364583-2 7.739357+3 1.380384-2 7.500320+3 1.428894-2 6.826597+3 1.462177-2 6.411515+3 1.513561-2 5.835837+3 1.548817-2 5.473475+3 1.566751-2 5.300644+3 1.621810-2 4.814274+3 1.678804-2 4.372443+3 1.717908-2 4.100708+3 1.800000-2 3.600640+3 1.819701-2 3.493091+3 1.840772-2 3.382720+3 1.883649-2 3.172352+3 1.905461-2 3.070364+3 1.927525-2 2.971648+3 1.972423-2 2.783608+3 2.018366-2 2.607493+3 2.137962-2 2.214493+3 2.162719-2 2.143240+3 2.238721-2 1.942954+3 2.290868-2 1.819937+3 2.317395-2 1.761378+3 2.344229-2 1.703874+3 2.398833-2 1.594447+3 2.540973-2 1.350685+3 2.660725-2 1.182655+3 2.754229-2 1.070492+3 2.786121-2 1.035524+3 2.818383-2 1.001694+3 2.884032-2 9.365204+2 2.985383-2 8.466333+2 3.019952-2 8.186335+2 3.162278-2 7.154997+2 3.273407-2 6.467694+2 3.349654-2 6.046617+2 3.427678-2 5.652960+2 3.548134-2 5.103931+2 3.630781-2 4.767892+2 3.801894-2 4.160197+2 3.935501-2 3.755810+2 4.216965-2 3.061237+2 4.365158-2 2.760709+2 4.415704-2 2.667144+2 4.466836-2 2.576751+2 4.570882-2 2.405056+2 4.786301-2 2.095211+2 5.248075-2 1.590206+2 5.308844-2 1.535792+2 5.432503-2 1.432392+2 5.623413-2 1.290187+2 5.821032-2 1.162109+2 6.237348-2 9.428531+1 6.606934-2 7.921084+1 6.760830-2 7.387468+1 6.918310-2 6.885553+1 7.079458-2 6.417757+1 7.328245-2 5.775002+1 8.317638-2 3.922157+1 8.413951-2 3.786622+1 8.609938-2 3.529252+1 8.709636-2 3.407208+1 9.015711-2 3.065795+1 9.120108-2 2.959777+1 9.225714-2 2.856989+1 9.660509-2 2.480328+1 9.772372-2 2.394196+1 1.011580-1 2.153337+1 1.047129-1 1.936720+1 1.071519-1 1.804567+1 1.083927-1 1.741909+1 1.135011-1 1.512294+1 1.148154-1 1.459786+1 1.161449-1 1.409095+1 1.174898-1 1.360166+1 1.273503-1 1.062088+1 1.288250-1 1.025212+1 1.303167-1 9.896181+0 1.318257-1 9.552600+0 1.364583-1 8.591817+0 1.396368-1 8.005642+0 1.479108-1 6.709287+0 1.500000-1 6.426636+0 1.513561-1 6.251577+0 1.584893-1 5.427742+0 1.621810-1 5.057504+0 1.659587-1 4.712527+0 1.678804-1 4.550624+0 1.717908-1 4.243352+0 1.737801-1 4.097583+0 1.757924-1 3.956829+0 1.819701-1 3.562932+0 1.840772-1 3.440556+0 1.862087-1 3.322384+0 1.883649-1 3.208271+0 2.000000-1 2.675024+0 2.018366-1 2.601887+0 2.065380-1 2.426400+0 2.089296-1 2.343151+0 2.113489-1 2.262759+0 2.162719-1 2.110156+0 2.187762-1 2.038709+0 2.213095-1 1.969691+0 2.238721-1 1.903011+0 2.264644-1 1.838589+0 2.290868-1 1.776423+0 2.317395-1 1.716360+0 2.371374-1 1.602267+0 2.426610-1 1.495759+0 2.540973-1 1.303514+0 2.570396-1 1.260103+0 2.600160-1 1.218147+0 2.630268-1 1.177591+0 2.660725-1 1.138385+0 2.818383-1 9.613089-1 2.851018-1 9.293472-1 2.884032-1 8.984484-1 2.917427-1 8.685799-1 2.985383-1 8.126498-1 3.019952-1 7.860562-1 3.090295-1 7.354527-1 3.126079-1 7.114246-1 3.162278-1 6.881811-1 3.198895-1 6.656999-1 3.235937-1 6.439527-1 3.311311-1 6.025677-1 3.388442-1 5.645175-1 3.427678-1 5.464079-1 3.467369-1 5.288794-1 3.507519-1 5.119144-1 3.589219-1 4.796573-1 3.672823-1 4.494327-1 3.715352-1 4.350425-1 3.801894-1 4.081732-1 3.845918-1 3.953719-1 3.890451-1 3.829725-1 3.935501-1 3.709622-1 3.981072-1 3.593508-1 4.000000-1 3.546734-1 4.168694-1 3.164283-1 4.216965-1 3.067471-1 4.265795-1 2.973621-1 4.315191-1 2.882670-1 4.365158-1 2.794507-1 4.415705-1 2.709209-1 4.518559-1 2.546351-1 4.570882-1 2.468634-1 4.623810-1 2.393291-1 4.677351-1 2.321989-1 4.731513-1 2.252811-1 4.786301-1 2.185719-1 4.841724-1 2.120627-1 4.897788-1 2.057616-1 4.954502-1 1.996480-1 5.069907-1 1.879605-1 5.128614-1 1.823759-1 5.248075-1 1.719538-1 5.308844-1 1.669702-1 5.370318-1 1.621315-1 5.495409-1 1.528920-1 5.623413-1 1.441791-1 5.754399-1 1.361676-1 5.821032-1 1.323321-1 5.888437-1 1.286048-1 5.956621-1 1.249914-1 6.165950-1 1.147487-1 6.237348-1 1.116141-1 6.309573-1 1.085653-1 6.382635-1 1.056010-1 6.456542-1 1.027178-1 6.760830-1 9.197866-2 6.804800-1 9.059995-2 6.839117-1 8.954442-2 6.918310-1 8.717472-2 6.998420-1 8.486871-2 7.085700-1 8.245440-2 7.328245-1 7.625936-2 7.413102-1 7.424895-2 7.585776-1 7.049609-2 7.673615-1 6.869221-2 7.762471-1 6.693455-2 7.943282-1 6.356234-2 8.035261-1 6.194050-2 8.128305-1 6.036016-2 8.317638-1 5.740699-2 8.413951-1 5.598509-2 8.511380-1 5.459901-2 8.609938-1 5.324723-2 8.709636-1 5.193210-2 8.912509-1 4.939852-2 9.015711-1 4.822068-2 9.120108-1 4.707093-2 9.332543-1 4.485426-2 9.549926-1 4.274201-2 9.660509-1 4.172738-2 9.772372-1 4.077399-2 9.885531-1 3.984238-2 1.000000+0 3.893252-2 1.011579+0 3.804349-2 1.023293+0 3.717469-2 1.035142+0 3.632589-2 1.059254+0 3.468954-2 1.083927+0 3.312695-2 1.096478+0 3.237226-2 1.109175+0 3.165458-2 1.130300+0 3.051278-2 1.135011+0 3.026667-2 1.148154+0 2.959609-2 1.161449+0 2.894258-2 1.202264+0 2.706753-2 1.230269+0 2.592147-2 1.258925+0 2.482405-2 1.273503+0 2.429311-2 1.333521+0 2.228604-2 1.348963+0 2.181072-2 1.364583+0 2.136082-2 1.380384+0 2.092023-2 1.396368+0 2.048875-2 1.412538+0 2.006633-2 1.428894+0 1.965388-2 1.479108+0 1.846673-2 1.513561+0 1.771540-2 1.548817+0 1.701643-2 1.566751+0 1.667739-2 1.603245+0 1.601973-2 1.659587+0 1.508463-2 1.678804+0 1.478523-2 1.717908+0 1.422460-2 1.737801+0 1.395232-2 1.778279+0 1.342360-2 1.840772+0 1.267061-2 1.862087+0 1.243875-2 1.883649+0 1.221114-2 1.905461+0 1.198771-2 1.949845+0 1.155330-2 2.018366+0 1.093354-2 2.041738+0 1.074120-2 2.065380+0 1.055225-2 2.113489+0 1.018429-2 2.264644+0 9.155945-3 2.290868+0 8.994943-3 2.398833+0 8.380226-3 2.426610+0 8.237088-3 2.454709+0 8.096398-3 2.483133+0 7.958121-3 2.660725+0 7.176948-3 2.691535+0 7.054420-3 2.786121+0 6.700247-3 2.818383+0 6.589759-3 2.851018+0 6.481100-3 2.884032+0 6.374235-3 3.019952+0 5.964317-3 3.054921+0 5.866026-3 3.126079+0 5.674980-3 3.162278+0 5.585126-3 3.235937+0 5.409678-3 3.507519+0 4.838138-3 3.548134+0 4.761576-3 3.630781+0 4.612517-3 3.672823+0 4.542055-3 3.758374+0 4.404351-3 4.120975+0 3.894244-3 4.168694+0 3.834783-3 4.265795+0 3.718911-3 4.315191+0 3.664043-3 4.415704+0 3.556731-3 4.841724+0 3.158167-3 4.954502+0 3.065711-3 5.069907+0 2.976222-3 5.128614+0 2.933797-3 5.248075+0 2.850758-3 5.754399+0 2.541575-3 5.956621+0 2.434481-3 6.095369+0 2.365786-3 6.165950+0 2.333116-3 6.382635+0 2.237793-3 7.079458+0 1.974656-3 7.328245+0 1.894009-3 7.498942+0 1.842211-3 7.585776+0 1.816847-3 7.852356+0 1.744907-3 8.609938+0 1.566758-3 8.912509+0 1.504746-3 9.225714+0 1.445316-3 9.332543+0 1.426033-3 9.440609+0 1.407405-3 1.000000+1 1.317856-3 1.122018+1 1.155535-3 1.135011+1 1.140445-3 1.161449+1 1.110922-3 1.216186+1 1.055425-3 1.479108+1 8.489124-4 1.513561+1 8.274838-4 1.566751+1 7.969899-4 1.972423+1 6.205464-4 2.018366+1 6.052384-4 2.041738+1 5.978674-4 2.137962+1 5.692721-4 2.818383+1 4.242701-4 2.851018+1 4.191048-4 2.917427+1 4.089776-4 2.951209+1 4.040892-4 2.985383+1 3.992592-4 3.126079+1 3.805106-4 4.120975+1 2.851463-4 4.168694+1 2.817389-4 4.315191+1 2.717728-4 4.415704+1 2.654156-4 4.518559+1 2.592071-4 4.841724+1 2.414400-4 7.498942+1 1.540066-4 7.673615+1 1.504049-4 8.035261+1 1.434596-4 8.128305+1 1.417938-4 8.413951+1 1.369118-4 8.709636+1 1.321978-4 9.225714+1 1.246993-4 1.348963+2 8.482270-5 1.380384+2 8.286472-5 1.396368+2 8.190275-5 1.531087+2 7.460231-5 1.548817+2 7.373671-5 1.678804+2 6.798439-5 1.737801+2 6.565858-5 1.840772+2 6.195775-5 2.691535+2 4.224875-5 2.754229+2 4.127967-5 2.786121+2 4.080350-5 3.054921+2 3.718836-5 3.090295+2 3.675960-5 3.349654+2 3.390720-5 3.467369+2 3.275352-5 3.672823+2 3.091733-5 2.137962+3 5.290888-6 2.187762+3 5.170191-6 2.213095+3 5.110880-6 2.426610+3 4.660320-6 2.454709+3 4.606868-6 2.660725+3 4.250090-6 2.754229+3 4.105771-6 2.917427+3 3.876050-6 1.000000+5 1.130032-7 1 27000 7 0 5.893320+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 7.810000-6 7.810000-6 1.372000-5 7.810000-6 1.372000-5 1.371573-5 1.393000-5 1.371457-5 1.393000-5 1.380044-5 2.020000-5 1.369275-5 3.273407-5 1.370492-5 7.226000-5 1.374196-5 7.226000-5 1.489501-5 7.417000-5 1.484865-5 7.417000-5 1.534845-5 8.350000-5 1.495093-5 8.850000-5 1.485415-5 9.400000-5 1.487041-5 1.011579-4 1.501994-5 1.096900-4 1.529348-5 1.096900-4 1.653965-5 1.531087-4 1.843482-5 1.737801-4 1.922000-5 2.000000-4 2.005480-5 2.300000-4 2.088292-5 2.600160-4 2.158917-5 3.000000-4 2.237230-5 3.507519-4 2.318841-5 4.000000-4 2.384196-5 4.731513-4 2.462049-5 5.559043-4 2.531189-5 6.531306-4 2.594668-5 7.585776-4 2.649231-5 7.922900-4 2.664599-5 7.922900-4 3.831595-5 7.934000-4 3.911956-5 7.947000-4 3.978185-5 7.965000-4 4.039430-5 7.987000-4 4.087669-5 8.018000-4 4.128962-5 8.072000-4 4.164283-5 8.075400-4 4.165454-5 8.075400-4 4.217354-5 8.124000-4 4.256509-5 8.212000-4 4.281415-5 8.511380-4 4.288780-5 9.229500-4 4.289172-5 9.229500-4 4.576420-5 1.380384-3 4.701142-5 2.018366-3 4.840632-5 2.884032-3 4.988415-5 4.000000-3 5.135695-5 5.308844-3 5.268702-5 7.000000-3 5.398896-5 7.680700-3 5.441920-5 7.680700-3 7.295506-5 1.216186-2 7.346315-5 2.398833-2 7.388730-5 6.760830-2 7.418106-5 6.309573-1 7.432205-5 1.000000+5 7.432980-5 1 27000 7 7 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.810000-6 0.0 7.226000-5 0.0 7.226000-5 1.24076-10 7.270000-5 1.23239-10 7.360000-5 1.20894-10 7.417000-5 1.19049-10 7.417000-5 1.75275-10 7.498942-5 1.71980-10 7.590000-5 1.67798-10 7.852356-5 1.54026-10 8.080000-5 1.42742-10 8.230000-5 1.36203-10 8.350000-5 1.31744-10 8.485300-5 1.27619-10 8.610000-5 1.24618-10 8.738900-5 1.22364-10 8.850000-5 1.21061-10 8.950000-5 1.20428-10 9.070000-5 1.20256-10 9.225714-5 1.20939-10 9.400000-5 1.22720-10 9.580000-5 1.25599-10 9.800000-5 1.30355-10 1.000000-4 1.35564-10 1.011579-4 1.38954-10 1.040000-4 1.48020-10 1.080000-4 1.62349-10 1.096900-4 1.68798-10 1.096900-4 2.41456-10 1.150000-4 2.63930-10 1.244515-4 3.05935-10 1.364583-4 3.60005-10 1.462177-4 4.02381-10 1.548817-4 4.37950-10 1.603245-4 4.59051-10 1.678804-4 4.87226-10 1.800000-4 5.28777-10 1.949845-4 5.75465-10 2.065380-4 6.08980-10 2.238721-4 6.55878-10 2.371374-4 6.88846-10 2.511886-4 7.21384-10 2.730000-4 7.66329-10 3.000000-4 8.15423-10 3.349654-4 8.70744-10 3.715352-4 9.20553-10 4.120975-4 9.67331-10 4.623810-4 1.015504-9 5.069907-4 1.051631-9 5.559043-4 1.085590-9 6.200000-4 1.122614-9 6.760830-4 1.149627-9 7.585776-4 1.182808-9 7.922900-4 1.194684-9 7.922900-4 2.712678-6 7.931000-4 2.853839-6 7.934000-4 2.899027-6 7.939000-4 2.965102-6 7.947000-4 3.052566-6 7.952000-4 3.098549-6 7.958000-4 3.146526-6 7.965000-4 3.194483-6 7.980000-4 3.275854-6 7.997000-4 3.342994-6 8.018000-4 3.401611-6 8.045000-4 3.451454-6 8.075400-4 3.485517-6 8.075400-4 3.635156-6 8.100000-4 3.700014-6 8.130000-4 3.750600-6 8.175000-4 3.793201-6 8.243000-4 3.820016-6 8.350000-4 3.829208-6 9.229500-4 3.821759-6 9.229500-4 3.903332-6 1.678804-3 3.909415-6 6.095369-3 3.896569-6 7.680700-3 3.896531-6 7.680700-3 2.315081-3 9.332543-3 2.333650-3 1.318257-2 2.353257-3 2.018366-2 2.369050-3 3.630781-2 2.379778-3 1.161449-1 2.386069-3 1.000000+5 2.387155-3 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.810000-6 0.0 1.372000-5 5.910000-6 1.372000-5 4.266208-9 1.377000-5 5.438183-8 1.392000-5 2.053369-7 1.393000-5 2.154344-7 1.393000-5 1.295566-7 1.423000-5 4.323439-7 1.487000-5 1.083091-6 1.800000-5 4.281220-6 2.130000-5 7.613312-6 7.226000-5 5.851804-5 7.226000-5 5.736486-5 7.417000-5 5.932123-5 7.417000-5 5.882138-5 8.738900-5 7.252302-5 1.011579-4 8.613782-5 1.096900-4 9.439635-5 1.096900-4 9.315011-5 1.820000-4 1.625014-4 2.884032-4 2.662446-4 5.495409-4 5.242756-4 7.922900-4 7.656428-4 7.922900-4 7.512614-4 7.997000-4 7.553211-4 8.236900-4 7.770312-4 9.229500-4 8.762365-4 9.229500-4 8.732825-4 7.680700-3 7.622384-3 7.680700-3 5.292664-3 1.258925-2 1.016445-2 3.589219-1 3.564613-1 1.000000+5 1.000000+5 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 7.680700-3 3.057786+4 7.943282-3 2.824007+4 8.150000-3 2.650560+4 9.150000-3 1.980758+4 1.190000-2 9.943440+3 1.513561-2 5.188889+3 1.883649-2 2.829639+3 2.317395-2 1.574680+3 2.818383-2 8.969559+2 3.427678-2 5.067996+2 4.216965-2 2.747007+2 5.248075-2 1.427968+2 6.760830-2 6.637537+1 9.120108-2 2.660492+1 1.659587-1 4.236633+0 2.162719-1 1.897264+0 2.540973-1 1.171939+0 2.917427-1 7.808920-1 3.311311-1 5.417357-1 3.715352-1 3.911222-1 4.168694-1 2.844836-1 4.623810-1 2.151689-1 5.128614-1 1.639704-1 5.623413-1 1.296354-1 6.165950-1 1.031790-1 6.760830-1 8.271021-2 7.413102-1 6.676627-2 8.128305-1 5.427185-2 8.912509-1 4.441625-2 9.660509-1 3.752695-2 1.096478+0 2.911724-2 1.202264+0 2.434597-2 1.348963+0 1.961688-2 1.513561+0 1.593250-2 1.678804+0 1.329712-2 1.840772+0 1.139552-2 2.018366+0 9.833288-3 2.398833+0 7.536949-3 2.786121+0 6.026075-3 3.126079+0 5.104041-3 3.630781+0 4.148482-3 4.265795+0 3.344782-3 5.069907+0 2.676817-3 6.095369+0 2.127795-3 7.585776+0 1.634057-3 9.332543+0 1.282574-3 1.161449+1 9.991844-4 1.513561+1 7.442531-4 2.018366+1 5.443612-4 2.917427+1 3.678418-4 4.315191+1 2.444361-4 8.035261+1 1.290293-4 1.548817+2 6.632049-5 3.090295+2 3.306202-5 2.454709+3 4.143582-6 1.000000+5 1.016400-7 1 27000 7 0 5.893320+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 7.680700-3 7.567000-5 1.000000+5 7.567000-5 1 27000 7 7 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 7.680700-3 2.653600-3 1.000000+5 2.653600-3 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 7.680700-3 4.951430-3 1.000000+5 1.000000+5 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 9.229500-4 1.366302+5 9.850000-4 1.256643+5 1.083927-3 1.093244+5 1.273503-3 8.562600+4 1.548817-3 6.217248+4 1.678804-3 5.407865+4 1.950000-3 4.137900+4 2.150000-3 3.452000+4 2.500000-3 2.584700+4 2.800000-3 2.064180+4 3.198895-3 1.573813+4 3.672823-3 1.177697+4 4.168694-3 8.966973+3 4.800000-3 6.569960+3 5.559043-3 4.712717+3 6.456542-3 3.330743+3 7.413102-3 2.400342+3 8.511380-3 1.718332+3 9.800000-3 1.213660+3 1.135011-2 8.390747+2 1.318257-2 5.718913+2 1.548817-2 3.755032+2 1.819701-2 2.446094+2 2.137962-2 1.581602+2 2.540973-2 9.834576+1 3.019952-2 6.067569+1 3.630781-2 3.596427+1 4.365158-2 2.115349+1 5.308844-2 1.194283+1 6.606934-2 6.251990+0 8.413951-2 3.031755+0 1.148154-1 1.184641+0 1.883649-1 2.644245-1 2.264644-1 1.523294-1 2.660725-1 9.468629-2 3.090295-1 6.132378-2 3.507519-1 4.276734-2 3.935501-1 3.103610-2 4.365158-1 2.341126-2 4.841724-1 1.778008-2 5.370318-1 1.360306-2 5.888437-1 1.079282-2 6.456542-1 8.620723-3 7.085700-1 6.920995-3 7.762471-1 5.627609-3 8.609938-1 4.484253-3 9.549926-1 3.595968-3 1.035142+0 3.051647-3 1.148154+0 2.484858-3 1.273503+0 2.039953-3 1.412538+0 1.685712-3 1.603245+0 1.346240-3 1.778279+0 1.128152-3 1.949845+0 9.708357-4 2.290868+0 7.559747-4 2.691535+0 5.929108-4 3.054921+0 4.930376-4 3.548134+0 4.002584-4 4.168694+0 3.223633-4 4.954502+0 2.577100-4 5.956621+0 2.046587-4 7.328245+0 1.592089-4 8.912509+0 1.264731-4 1.135011+1 9.587256-5 1.479108+1 7.137322-5 1.972423+1 5.217456-5 2.851018+1 3.523936-5 4.168694+1 2.368737-5 7.673615+1 1.264514-5 1.396368+2 6.885099-6 2.786121+2 3.430752-6 2.213095+3 4.297471-7 1.000000+5 9.503100-9 1 27000 7 0 5.893320+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 9.229500-4 6.718700-5 1.000000+5 6.718700-5 1 27000 7 7 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 9.229500-4 4.511700-6 1.000000+5 4.511700-6 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 9.229500-4 8.512513-4 1.000000+5 1.000000+5 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 8.075400-4 1.521600+5 8.077000-4 1.562400+5 8.080500-4 1.669800+5 8.083500-4 1.758000+5 8.086500-4 1.843200+5 8.091000-4 1.965600+5 8.095500-4 2.080800+5 8.100000-4 2.191100+5 8.106000-4 2.329000+5 8.111000-4 2.436600+5 8.118000-4 2.577900+5 8.124000-4 2.690700+5 8.130000-4 2.795900+5 8.137000-4 2.909300+5 8.145000-4 3.027600+5 8.153700-4 3.143800+5 8.164000-4 3.266100+5 8.175000-4 3.379500+5 8.187000-4 3.485100+5 8.198000-4 3.566500+5 8.212000-4 3.651000+5 8.228000-4 3.724900+5 8.243000-4 3.775300+5 8.265000-4 3.822700+5 8.290000-4 3.847200+5 8.317638-4 3.849100+5 8.350000-4 3.830000+5 9.050000-4 3.168958+5 9.440609-4 2.839900+5 1.023293-3 2.333000+5 1.150000-3 1.744800+5 1.273503-3 1.344300+5 1.380384-3 1.088000+5 1.640590-3 6.819500+4 1.800000-3 5.272100+4 2.089296-3 3.457500+4 2.371374-3 2.396500+4 2.722701-3 1.596000+4 3.198895-3 9.833600+3 3.630781-3 6.674200+3 4.168694-3 4.344600+3 4.841724-3 2.707300+3 5.688529-3 1.612800+3 6.683439-3 9.526300+2 7.852356-3 5.582500+2 9.225714-3 3.246200+2 1.083927-2 1.873600+2 1.273503-2 1.073600+2 1.513561-2 5.867400+1 1.800000-2 3.175600+1 2.162719-2 1.645700+1 2.660725-2 7.775200+0 3.349654-2 3.352900+0 4.466836-2 1.161400+0 8.317638-2 1.163934-1 1.047129-1 4.997191-2 1.273503-1 2.453868-2 1.500000-1 1.363364-2 1.737801-1 8.095178-3 2.000000-1 4.954693-3 2.264644-1 3.232753-3 2.540973-1 2.191633-3 2.851018-1 1.497131-3 3.162278-1 1.069672-3 3.507519-1 7.696768-4 3.890451-1 5.578449-4 4.315191-1 4.073383-4 4.786301-1 2.997361-4 5.308844-1 2.223177-4 5.821032-1 1.716377-4 6.382635-1 1.333888-4 6.998420-1 1.043745-4 7.673615-1 8.225161-5 8.609938-1 6.144191-5 9.120108-1 5.338976-5 9.660509-1 4.668325-5 1.023293+0 4.112620-5 1.096478+0 3.559163-5 1.161449+0 3.175336-5 1.258925+0 2.730432-5 1.380384+0 2.312407-5 1.678804+0 1.644512-5 1.862087+0 1.382305-5 2.041738+0 1.193254-5 2.426610+0 9.148460-6 2.818383+0 7.319747-6 3.126079+0 6.305972-6 3.630781+0 5.125410-6 4.265795+0 4.132406-6 5.069907+0 3.307121-6 6.095369+0 2.628890-6 7.498942+0 2.046742-6 9.225714+0 1.605729-6 1.161449+1 1.234474-6 1.513561+1 9.195085-7 2.018366+1 6.725450-7 2.917427+1 4.544580-7 4.315191+1 3.019878-7 8.128305+1 1.575496-7 1.548817+2 8.193803-8 3.090295+2 4.084667-8 2.454709+3 5.119258-9 1.000000+5 1.25570-10 1 27000 7 0 5.893320+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 8.075400-4 4.539200-5 1.000000+5 4.539200-5 1 27000 7 7 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 8.075400-4 4.563100-6 1.000000+5 4.563100-6 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 8.075400-4 7.575849-4 1.000000+5 1.000000+5 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 7.922900-4 3.175120+5 7.924600-4 3.264772+5 7.928000-4 3.479448+5 7.931000-4 3.660668+5 7.934000-4 3.836328+5 7.939000-4 4.113880+5 7.943282-4 4.338548+5 7.947000-4 4.524680+5 7.952000-4 4.763520+5 7.958000-4 5.031880+5 7.965000-4 5.321880+5 7.972000-4 5.589760+5 7.980000-4 5.870840+5 7.987000-4 6.095880+5 7.997000-4 6.385680+5 8.007000-4 6.641240+5 8.018000-4 6.886000+5 8.030000-4 7.113640+5 8.045000-4 7.346720+5 8.059200-4 7.520892+5 8.072000-4 7.644200+5 8.090000-4 7.771640+5 8.108000-4 7.854480+5 8.130000-4 7.908400+5 8.150000-4 7.923160+5 8.180000-4 7.903000+5 8.780000-4 6.698320+5 9.225714-4 5.881764+5 1.011579-3 4.685763+5 1.148154-3 3.409222+5 1.273503-3 2.607472+5 1.380384-3 2.104659+5 1.621810-3 1.356535+5 1.795500-3 1.020491+5 2.089296-3 6.623076+4 2.371374-3 4.576691+4 2.691535-3 3.144365+4 3.090295-3 2.071939+4 3.548134-3 1.355281+4 4.073803-3 8.801334+3 4.677351-3 5.675383+3 5.432503-3 3.501568+3 6.309573-3 2.144084+3 7.328245-3 1.303369+3 8.609938-3 7.566409+2 1.000000-2 4.534080+2 1.161449-2 2.699120+2 1.364583-2 1.532963+2 1.621810-2 8.293618+1 1.927525-2 4.453412+1 2.290868-2 2.374295+1 2.786121-2 1.155637+1 3.427678-2 5.350523+0 4.365158-2 2.161523+0 9.015711-2 1.393881-1 1.161449-1 5.386742-2 1.364583-1 2.960574-2 1.584893-1 1.710264-2 1.819701-1 1.038164-2 2.065380-1 6.617801-3 2.317395-1 4.426803-3 2.600160-1 2.984123-3 2.884032-1 2.107986-3 3.162278-1 1.557846-3 3.467369-1 1.159028-3 3.801894-1 8.685211-4 4.168694-1 6.557851-4 4.518559-1 5.163180-4 4.897788-1 4.091161-4 5.308844-1 3.262941-4 5.754399-1 2.620216-4 6.237348-1 2.118469-4 6.804800-1 1.696697-4 7.413102-1 1.374868-4 8.035261-1 1.135784-4 8.912509-1 8.961543-5 9.549926-1 7.701578-5 1.023293+0 6.666410-5 1.130300+0 5.456093-5 1.230269+0 4.637380-5 1.364583+0 3.829129-5 1.548817+0 3.056274-5 1.717908+0 2.555155-5 1.883649+0 2.192881-5 2.065380+0 1.895255-5 2.454709+0 1.454045-5 2.851018+0 1.163924-5 3.162278+0 1.003264-5 3.672823+0 8.158994-6 4.315191+0 6.581787-6 5.128614+0 5.270185-6 6.165950+0 4.191206-6 7.585776+0 3.264429-6 9.440609+0 2.528342-6 1.161449+1 1.996097-6 1.513561+1 1.486798-6 2.041738+1 1.074084-6 2.985383+1 7.172044-7 4.518559+1 4.655847-7 8.709636+1 2.374175-7 1.737801+2 1.179575-7 3.467369+2 5.883660-8 2.754229+3 7.376932-9 1.000000+5 2.03040-10 1 27000 7 0 5.893320+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 7.922900-4 4.509900-5 1.000000+5 4.509900-5 1 27000 7 7 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 7.922900-4 4.288700-6 1.000000+5 4.288700-6 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 7.922900-4 7.429023-4 1.000000+5 1.000000+5 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.096900-4 3.269561+5 1.566751-4 2.792393+5 1.678804-4 2.693775+5 1.778279-4 2.593689+5 1.883649-4 2.479454+5 2.041738-4 2.307935+5 2.264644-4 2.086512+5 2.511886-4 1.872758+5 2.730000-4 1.705250+5 2.985383-4 1.530262+5 3.349654-4 1.319014+5 3.801894-4 1.111492+5 4.216965-4 9.599277+4 4.731513-4 8.094212+4 5.495409-4 6.428948+4 6.200000-4 5.302660+4 7.161434-4 4.177602+4 8.222426-4 3.301189+4 9.549926-4 2.536912+4 1.096478-3 1.976446+4 1.288250-3 1.465271+4 1.513561-3 1.077466+4 1.778279-3 7.861932+3 2.089296-3 5.694614+3 2.483133-3 3.998475+3 2.917427-3 2.852991+3 3.427678-3 2.020940+3 4.000000-3 1.441798+3 4.677351-3 1.016389+3 5.432503-3 7.221736+2 6.309573-3 5.094304+2 7.328245-3 3.567920+2 8.511380-3 2.481109+2 1.000000-2 1.664704+2 1.174898-2 1.108294+2 1.380384-2 7.322115+1 1.621810-2 4.800822+1 1.905461-2 3.124393+1 2.238721-2 2.018650+1 2.660725-2 1.254456+1 3.162278-2 7.736686+0 3.801894-2 4.583738+0 4.570882-2 2.695437+0 5.432503-2 1.627500+0 6.760830-2 8.518549-1 8.709636-2 3.992352-1 1.083927-1 2.063103-1 1.678804-1 5.483556-2 2.187762-1 2.477384-2 2.570396-1 1.536967-2 2.985383-1 9.938573-3 3.388442-1 6.918411-3 3.801894-1 5.010452-3 4.265795-1 3.655541-3 4.731513-1 2.771962-3 5.248075-1 2.117560-3 5.754399-1 1.677917-3 6.309573-1 1.338472-3 6.918310-1 1.075127-3 7.585776-1 8.696092-4 8.413951-1 6.904290-4 9.120108-1 5.806403-4 9.885531-1 4.914942-4 1.135011+0 3.733913-4 1.258925+0 3.062243-4 1.396368+0 2.527530-4 1.566751+0 2.057369-4 1.737801+0 1.721258-4 1.905461+0 1.478741-4 2.113489+0 1.256391-4 2.483133+0 9.817721-5 2.884032+0 7.863604-5 3.235937+0 6.673955-5 3.758374+0 5.433901-5 4.415704+0 4.388148-5 5.248075+0 3.517385-5 6.382635+0 2.760810-5 7.852356+0 2.153005-5 1.000000+1 1.625900-5 1.216186+1 1.302462-5 1.566751+1 9.834968-6 2.137962+1 7.024138-6 3.126079+1 4.694633-6 4.841724+1 2.978681-6 9.225714+1 1.538359-6 1.840772+2 7.647022-7 3.672823+2 3.815622-7 2.917427+3 4.784893-8 1.000000+5 1.395100-9 1 27000 7 0 5.893320+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.096900-4 3.806000-5 1.000000+5 3.806000-5 1 27000 7 7 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.096900-4 1.496200-9 1.000000+5 1.496200-9 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.096900-4 7.162850-5 1.000000+5 1.000000+5 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 7.417000-5 3.504100+5 7.498942-5 3.432440+5 7.590000-5 3.329800+5 7.700000-5 3.184960+5 7.810000-5 3.029720+5 8.000000-5 2.760380+5 8.317638-5 2.362352+5 8.450000-5 2.226200+5 8.610000-5 2.087540+5 8.738900-5 1.996108+5 8.850000-5 1.931066+5 8.950000-5 1.882758+5 9.070000-5 1.836514+5 9.190000-5 1.802028+5 9.332543-5 1.774498+5 9.450000-5 1.761534+5 9.580000-5 1.756058+5 9.720000-5 1.759102+5 9.900000-5 1.774260+5 1.011579-4 1.805535+5 1.040000-4 1.862220+5 1.080000-4 1.960078+5 1.190000-4 2.257700+5 1.244515-4 2.395869+5 1.303167-4 2.528952+5 1.350000-4 2.621320+5 1.400000-4 2.705280+5 1.462177-4 2.788796+5 1.520000-4 2.846580+5 1.584893-4 2.890122+5 1.650000-4 2.913300+5 1.720000-4 2.918620+5 1.800000-4 2.905000+5 1.900000-4 2.866780+5 2.000000-4 2.812360+5 2.120000-4 2.732380+5 2.238721-4 2.642841+5 2.371374-4 2.535730+5 2.511886-4 2.417446+5 2.660725-4 2.290276+5 2.851018-4 2.129778+5 3.054921-4 1.966514+5 3.311311-4 1.778560+5 3.589219-4 1.596318+5 3.890451-4 1.421871+5 4.216965-4 1.256436+5 4.623810-4 1.081779+5 5.069907-4 9.243550+4 5.559043-4 7.838451+4 6.095369-4 6.593268+4 6.760830-4 5.383609+4 7.500000-4 4.358920+4 8.236900-4 3.575336+4 9.120108-4 2.863301+4 1.011579-3 2.267995+4 1.135011-3 1.735841+4 1.273503-3 1.318163+4 1.450000-3 9.575400+3 1.621810-3 7.214325+3 1.819701-3 5.356269+3 2.050000-3 3.907680+3 2.317395-3 2.805504+3 2.630268-3 1.977455+3 3.000000-3 1.364330+3 3.388442-3 9.607169+2 3.845918-3 6.622986+2 4.365158-3 4.532694+2 5.000000-3 2.994664+2 5.688529-3 2.005267+2 6.531306-3 1.295276+2 7.498942-3 8.304889+1 8.709636-3 5.091397+1 1.011579-2 3.097587+1 1.174898-2 1.871182+1 1.380384-2 1.079012+1 1.621810-2 6.174107+0 1.927525-2 3.367893+0 2.317395-2 1.750076+0 2.818383-2 8.660880-1 3.548134-2 3.754224-1 4.415704-2 1.685194-1 8.609938-2 1.442156-2 1.071519-1 6.481282-3 1.288250-1 3.327529-3 1.513561-1 1.869762-3 1.757924-1 1.102522-3 2.018366-1 6.820986-4 2.290868-1 4.423684-4 2.570396-1 3.004065-4 2.884032-1 2.054322-4 3.235937-1 1.415613-4 3.589219-1 1.019618-4 4.000000-1 7.288900-5 4.415705-1 5.403997-5 4.841724-1 4.116399-5 5.308844-1 3.157257-5 5.821032-1 2.438298-5 6.382635-1 1.895366-5 6.998420-1 1.483228-5 7.673615-1 1.168933-5 8.609938-1 8.734017-6 9.120108-1 7.590526-6 9.660509-1 6.637880-6 1.023293+0 5.848231-6 1.096478+0 5.061533-6 1.161449+0 4.515783-6 1.258925+0 3.883009-6 1.380384+0 3.288406-6 1.678804+0 2.338240-6 1.862087+0 1.965384-6 2.018366+0 1.727527-6 2.398833+0 1.324017-6 2.786121+0 1.058646-6 3.126079+0 8.966925-7 3.630781+0 7.288160-7 4.265795+0 5.876190-7 5.069907+0 4.702711-7 6.095369+0 3.738194-7 7.498942+0 2.910342-7 9.225714+0 2.283313-7 1.161449+1 1.755400-7 1.513561+1 1.307483-7 2.018366+1 9.563410-8 2.917427+1 6.462289-8 4.315191+1 4.294220-8 8.128305+1 2.240307-8 1.548817+2 1.165098-8 3.090295+2 5.808331-9 2.454709+3 7.27954-10 1.000000+5 1.78560-11 1 27000 7 0 5.893320+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 7.417000-5 2.722800-5 1.000000+5 2.722800-5 1 27000 7 7 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 7.417000-5 1.511700-9 1.000000+5 1.511700-9 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 7.417000-5 4.694049-5 1.000000+5 1.000000+5 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 7.226000-5 7.372920+5 7.270000-5 7.284840+5 7.360000-5 7.065960+5 7.450000-5 6.815320+5 7.585776-5 6.408199+5 8.080000-5 5.035600+5 8.230000-5 4.716880+5 8.350000-5 4.501160+5 8.485300-5 4.299029+5 8.610000-5 4.149160+5 8.730000-5 4.035480+5 8.850000-5 3.949060+5 8.950000-5 3.895820+5 9.070000-5 3.852056+5 9.225714-5 3.823953+5 9.400000-5 3.824832+5 9.580000-5 3.854564+5 9.800000-5 3.921292+5 1.000000-4 4.003240+5 1.035142-4 4.178634+5 1.150000-4 4.832720+5 1.205000-4 5.125760+5 1.260000-4 5.386880+5 1.318257-4 5.623221+5 1.364583-4 5.779703+5 1.412538-4 5.912282+5 1.462177-4 6.018740+5 1.520000-4 6.105560+5 1.584893-4 6.159702+5 1.659587-4 6.173729+5 1.737801-4 6.143930+5 1.820000-4 6.075320+5 1.927525-4 5.944873+5 2.041738-4 5.774437+5 2.162719-4 5.573205+5 2.300000-4 5.328840+5 2.450000-4 5.052040+5 2.600160-4 4.771723+5 2.786121-4 4.432011+5 3.000000-4 4.063080+5 3.235937-4 3.690308+5 3.507519-4 3.308449+5 3.801894-4 2.943739+5 4.120975-4 2.599092+5 4.500000-4 2.250940+5 4.954502-4 1.908016+5 5.400000-4 1.634600+5 5.888437-4 1.389331+5 6.456542-4 1.160523+5 7.161434-4 9.408891+4 7.943282-4 7.563415+4 8.810489-4 6.032350+4 9.700000-4 4.860200+4 1.083927-3 3.757172+4 1.216186-3 2.854626+4 1.364583-3 2.151601+4 1.548817-3 1.563344+4 1.737801-3 1.160700+4 1.949845-3 8.561007+3 2.187762-3 6.272754+3 2.483133-3 4.422990+3 2.818383-3 3.095978+3 3.198895-3 2.150890+3 3.630781-3 1.483111+3 4.120975-3 1.015142+3 4.677351-3 6.897756+2 5.308844-3 4.653317+2 6.095369-3 3.005201+2 7.000000-3 1.924768+2 8.035261-3 1.225398+2 9.332543-3 7.448588+1 1.083927-2 4.492834+1 1.258925-2 2.690522+1 1.462177-2 1.599886+1 1.717908-2 9.069132+0 2.018366-2 5.102980+0 2.398833-2 2.734959+0 2.884032-2 1.395427+0 3.548134-2 6.492343-1 4.466836-2 2.749869-1 6.237348-2 7.838448-2 9.225714-2 1.794298-2 1.174898-1 7.265064-3 1.396368-1 3.835599-3 1.621810-1 2.220333-3 1.862087-1 1.350341-3 2.113489-1 8.624379-4 2.371374-1 5.779216-4 2.630268-1 4.058538-4 2.917427-1 2.870899-4 3.198895-1 2.124675-4 3.507519-1 1.583206-4 3.845918-1 1.188327-4 4.168694-1 9.304565-5 4.518559-1 7.330704-5 4.897788-1 5.811599-5 5.308844-1 4.636573-5 5.754399-1 3.723369-5 6.237348-1 3.010992-5 6.760830-1 2.452337-5 7.328245-1 2.010774-5 8.035261-1 1.615211-5 8.709636-1 1.339990-5 9.332543-1 1.149088-5 1.000000+0 9.921300-6 1.109175+0 8.038521-6 1.202264+0 6.874172-6 1.333521+0 5.667594-6 1.479108+0 4.705950-6 1.659587+0 3.847472-6 1.840772+0 3.232182-6 2.018366+0 2.788563-6 2.398833+0 2.137303-6 2.786121+0 1.708897-6 3.126079+0 1.447457-6 3.630781+0 1.176488-6 4.265795+0 9.485593-7 5.069907+0 7.591174-7 6.095369+0 6.034285-7 7.498942+0 4.697957-7 9.225714+0 3.685778-7 1.161449+1 2.833615-7 1.513561+1 2.110591-7 2.018366+1 1.543748-7 2.951209+1 1.030564-7 4.415704+1 6.768530-8 8.413951+1 3.491123-8 1.678804+2 1.733779-8 3.349654+2 8.646887-9 2.660725+3 1.084028-9 1.000000+5 2.88230-11 1 27000 7 0 5.893320+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 7.226000-5 2.708500-5 1.000000+5 2.708500-5 1 27000 7 7 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 7.226000-5 1.435800-9 1.000000+5 1.435800-9 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 7.226000-5 4.517356-5 1.000000+5 1.000000+5 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.393000-5 1.348354+6 1.435000-5 1.333674+6 1.479108-5 1.326899+6 1.531087-5 1.330278+6 1.590000-5 1.346358+6 1.650000-5 1.373137+6 1.717908-5 1.414015+6 1.800000-5 1.474651+6 1.900000-5 1.560994+6 2.018366-5 1.675591+6 2.600160-5 2.315066+6 2.818383-5 2.552629+6 3.019952-5 2.760285+6 3.230000-5 2.957864+6 3.450000-5 3.141320+6 3.650000-5 3.285324+6 3.850000-5 3.404212+6 4.070000-5 3.505348+6 4.300000-5 3.580892+6 4.518559-5 3.625630+6 4.731513-5 3.646345+6 5.000000-5 3.644004+6 5.300000-5 3.611832+6 5.623413-5 3.552263+6 5.956621-5 3.471369+6 6.382635-5 3.350073+6 6.839116-5 3.210291+6 7.328245-5 3.055737+6 7.852356-5 2.890199+6 8.413951-5 2.716159+6 9.015711-5 2.533444+6 9.549926-5 2.376305+6 1.011579-4 2.215315+6 1.080000-4 2.029639+6 1.150000-4 1.852432+6 1.230269-4 1.665919+6 1.318257-4 1.483849+6 1.412538-4 1.312807+6 1.531087-4 1.130306+6 1.659587-4 9.656456+5 1.778279-4 8.386916+5 1.927525-4 7.058637+5 2.065380-4 6.046449+5 2.238721-4 5.011865+5 2.454709-4 4.010351+5 2.722701-4 3.092637+5 3.000000-4 2.403845+5 3.280000-4 1.891316+5 3.600000-4 1.461726+5 4.000000-4 1.083978+5 4.415704-4 8.129126+4 4.897788-4 5.970097+4 5.432503-4 4.352504+4 6.025596-4 3.151381+4 6.760830-4 2.184827+4 7.585776-4 1.503411+4 8.511380-4 1.027278+4 9.440609-4 7.246049+3 1.071519-3 4.692569+3 1.216186-3 3.016031+3 1.380384-3 1.923911+3 1.566751-3 1.218194+3 1.778279-3 7.657317+2 2.018366-3 4.778487+2 2.290868-3 2.961411+2 2.600160-3 1.821928+2 2.951209-3 1.112527+2 3.349654-3 6.739908+1 3.801894-3 4.052483+1 4.315191-3 2.418473+1 4.897788-3 1.433084+1 5.623413-3 8.036402+0 6.683439-3 3.866478+0 7.852356-3 1.938316+0 9.332543-3 9.179039-1 1.148154-2 3.712215-1 1.380384-2 1.647330-1 1.566751-2 9.375037-2 1.883649-2 4.095150-2 2.344229-2 1.519102-2 5.248075-2 3.835226-4 6.918310-2 1.093746-4 8.317638-2 4.770204-5 9.772372-2 2.323527-5 1.135011-1 1.199389-5 1.303167-1 6.561760-6 1.479108-1 3.802303-6 1.659587-1 2.331563-6 1.862087-1 1.439715-6 2.089296-1 8.953991-7 2.317395-1 5.878026-7 2.570396-1 3.887619-7 2.818383-1 2.711022-7 3.090295-1 1.903709-7 3.388442-1 1.346310-7 3.715352-1 9.585822-8 4.216965-1 6.066337-8 4.570882-1 4.561863-8 4.954502-1 3.453741-8 5.308844-1 2.740599-8 5.754399-1 2.106515-8 6.382635-1 1.513386-8 6.998420-1 1.136064-8 7.585776-1 8.899382-9 8.035261-1 7.502099-9 8.511380-1 6.309776-9 8.912509-1 5.522225-9 9.332543-1 4.861993-9 9.772372-1 4.312021-9 1.011579+0 3.963048-9 1.059254+0 3.565974-9 1.109175+0 3.230672-9 1.161449+0 2.946103-9 1.230269+0 2.645458-9 1.333521+0 2.294663-9 1.479108+0 1.928988-9 1.778279+0 1.406896-9 1.949845+0 1.209133-9 2.264644+0 9.58283-10 2.660725+0 7.51149-10 3.019952+0 6.24127-10 3.507519+0 5.06375-10 4.120975+0 4.07607-10 4.841724+0 3.30513-10 5.754399+0 2.65978-10 7.079458+0 2.06638-10 8.609938+0 1.63950-10 1.122018+1 1.20953-10 1.479108+1 8.88824-11 1.972423+1 6.49744-11 2.818383+1 4.44218-11 4.120975+1 2.98533-11 7.498942+1 1.61227-11 1.348963+2 8.87871-12 2.691535+2 4.42350-12 2.137962+3 5.54007-13 1.000000+5 1.18340-14 1 27000 7 0 5.893320+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.393000-5 1.393000-5 1.000000+5 1.393000-5 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.393000-5 0.0 1.000000+5 1.000000+5 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.372000-5 2.042636+6 1.412538-5 2.022824+6 1.462177-5 2.015423+6 1.513561-5 2.024980+6 1.570000-5 2.052011+6 1.630000-5 2.096006+6 1.698244-5 2.161384+6 1.778279-5 2.254071+6 1.862087-5 2.365333+6 2.000000-5 2.570039+6 2.580000-5 3.537778+6 2.818383-5 3.927791+6 3.019952-5 4.236521+6 3.235937-5 4.538325+6 3.427678-5 4.774919+6 3.630781-5 4.989941+6 3.850000-5 5.180238+6 4.027170-5 5.300892+6 4.220000-5 5.399310+6 4.415704-5 5.466918+6 4.650000-5 5.507376+6 4.900000-5 5.509812+6 5.188000-5 5.471147+6 5.500000-5 5.389398+6 5.821032-5 5.274328+6 6.237348-5 5.098383+6 6.683439-5 4.891052+6 7.161434-5 4.660119+6 7.673615-5 4.413674+6 8.222426-5 4.152460+6 8.810489-5 3.879908+6 9.332543-5 3.645143+6 9.900000-5 3.397241+6 1.047129-4 3.159087+6 1.109175-4 2.913588+6 1.190000-4 2.617553+6 1.260000-4 2.385411+6 1.364583-4 2.078128+6 1.462177-4 1.832789+6 1.603245-4 1.536802+6 1.720000-4 1.334222+6 1.850000-4 1.145466+6 2.000000-4 9.648954+5 2.137962-4 8.282373+5 2.344229-4 6.652376+5 2.600160-4 5.148165+5 2.884032-4 3.946898+5 3.162278-4 3.090255+5 3.507519-4 2.324882+5 3.935501-4 1.678192+5 4.365158-4 1.242246+5 4.841724-4 9.124540+4 5.370318-4 6.653016+4 6.000000-4 4.708746+4 6.683439-4 3.340153+4 7.498942-4 2.298318+4 8.413951-4 1.569973+4 9.440609-4 1.064846+4 1.071519-3 6.892766+3 1.216186-3 4.426183+3 1.380384-3 2.820314+3 1.566751-3 1.783833+3 1.778279-3 1.120190+3 2.018366-3 6.983097+2 2.290868-3 4.322262+2 2.600160-3 2.655572+2 2.951209-3 1.619307+2 3.349654-3 9.796545+1 3.801894-3 5.882133+1 4.265795-3 3.674709+1 4.841724-3 2.174726+1 5.559043-3 1.217865+1 6.382635-3 6.771345+0 7.413102-3 3.559283+0 8.810489-3 1.681036+0 1.135011-2 5.534197-1 1.348963-2 2.575442-1 1.548817-2 1.388116-1 1.840772-2 6.357771-2 2.290868-2 2.344246-2 2.985383-2 6.944430-3 5.623413-2 3.741329-4 7.079458-2 1.301617-4 8.709636-2 5.069871-5 1.011580-1 2.583178-5 1.161449-1 1.395960-5 1.318257-1 7.997668-6 1.479108-1 4.853109-6 1.659587-1 2.965457-6 1.840772-1 1.917428-6 2.018366-1 1.309959-6 2.213095-1 9.013110-7 2.426610-1 6.246474-7 2.660725-1 4.362356-7 2.884032-1 3.207488-7 3.126079-1 2.373669-7 3.388442-1 1.768562-7 3.672823-1 1.327188-7 3.981072-1 1.003498-7 4.315191-1 7.652151-8 4.677351-1 5.880672-8 5.069907-1 4.553785-8 5.495409-1 3.552622-8 5.956621-1 2.793443-8 6.382635-1 2.288078-8 6.839117-1 1.885405-8 7.328245-1 1.562977-8 7.943282-1 1.261998-8 8.511380-1 1.057723-8 9.015711-1 9.186487-9 9.549926-1 8.030163-9 1.011579+0 7.070571-9 1.083927+0 6.116597-9 1.148154+0 5.451348-9 1.230269+0 4.782173-9 1.364583+0 3.959955-9 1.659587+0 2.812210-9 1.840772+0 2.361934-9 2.018366+0 2.037263-9 2.398833+0 1.561348-9 2.786121+0 1.248389-9 3.126079+0 1.057414-9 3.630781+0 8.59472-10 4.265795+0 6.92973-10 5.069907+0 5.54582-10 6.095369+0 4.40839-10 7.498942+0 3.43213-10 9.225714+0 2.69266-10 1.161449+1 2.07008-10 1.513561+1 1.54195-10 2.018366+1 1.12777-10 2.917427+1 7.62081-11 4.315191+1 5.06411-11 8.128305+1 2.64193-11 1.531087+2 1.39010-11 3.054921+2 6.92933-12 2.426610+3 8.68419-13 1.000000+5 2.10570-14 1 27000 7 0 5.893320+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.372000-5 1.372000-5 1.000000+5 1.372000-5 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.372000-5 0.0 1.000000+5 1.000000+5 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 7.810000-6 1.986718+6 7.852356-6 1.926151+6 7.960000-6 1.769008+6 8.222426-6 1.431398+6 8.500000-6 1.142876+6 8.770000-6 9.165900+5 9.015711-6 7.480586+5 9.225714-6 6.275752+5 9.440609-6 5.230400+5 9.650000-6 4.366000+5 9.850000-6 3.661920+5 1.005000-5 3.059880+5 1.023293-5 2.586517+5 1.042000-5 2.168620+5 1.060000-5 1.821592+5 1.077000-5 1.537336+5 1.092700-5 1.307950+5 1.105000-5 1.148190+5 1.120000-5 9.747140+4 1.131000-5 8.611000+4 1.142000-5 7.580080+4 1.154000-5 6.566060+4 1.165000-5 5.729940+4 1.177100-5 4.905099+4 1.188502-5 4.211465+4 1.199500-5 3.613250+4 1.207000-5 3.242380+4 1.216186-5 2.826543+4 1.226000-5 2.425960+4 1.235000-5 2.095700+4 1.242000-5 1.861928+4 1.250000-5 1.618036+4 1.258000-5 1.397656+4 1.265000-5 1.223052+4 1.272000-5 1.064568+4 1.277000-5 9.607820+3 1.282000-5 8.645200+3 1.288250-5 7.543692+3 1.295000-5 6.475280+3 1.302000-5 5.494040+3 1.310000-5 4.522220+3 1.318257-5 3.677080+3 1.332000-5 2.600200+3 1.337000-5 2.303880+3 1.342000-5 2.055480+3 1.346000-5 1.890028+3 1.348963-5 1.785979+3 1.352300-5 1.687132+3 1.355000-5 1.621064+3 1.358000-5 1.561892+3 1.361000-5 1.517380+3 1.364000-5 1.487184+3 1.366500-5 1.472714+3 1.369000-5 1.467764+3 1.371000-5 1.470532+3 1.374000-5 1.485680+3 1.377000-5 1.513744+3 1.380000-5 1.554416+3 1.382000-5 1.588386+3 1.385000-5 1.649410+3 1.388500-5 1.735530+3 1.392000-5 1.837292+3 1.397000-5 2.008940+3 1.402000-5 2.210360+3 1.423000-5 3.355100+3 1.432000-5 3.979620+3 1.440400-5 4.627377+3 1.447000-5 5.177300+3 1.455000-5 5.888980+3 1.462177-5 6.566842+3 1.470000-5 7.345220+3 1.479108-5 8.299701+3 1.487000-5 9.165340+3 1.496236-5 1.022026+4 1.507000-5 1.150160+4 1.518000-5 1.286268+4 1.530000-5 1.440018+4 1.540100-5 1.573180+4 1.550000-5 1.706628+4 1.560000-5 1.844008+4 1.570000-5 1.983658+4 1.585000-5 2.196720+4 1.600000-5 2.413240+4 1.615000-5 2.632340+4 1.630000-5 2.853280+4 1.645000-5 3.075360+4 1.660000-5 3.297940+4 1.680000-5 3.594560+4 1.700000-5 3.889960+4 1.723400-5 4.232695+4 1.750000-5 4.616920+4 1.778279-5 5.017432+4 1.800000-5 5.318540+4 1.830000-5 5.724040+4 1.862087-5 6.143341+4 1.900000-5 6.618400+4 1.935000-5 7.036660+4 1.980000-5 7.545300+4 2.020000-5 7.969920+4 2.070000-5 8.464780+4 2.130000-5 9.007460+4 2.190000-5 9.496680+4 2.250000-5 9.935520+4 2.317395-5 1.037258+5 2.400000-5 1.083524+5 2.483133-5 1.122720+5 2.580000-5 1.160196+5 2.691535-5 1.193962+5 2.818383-5 1.222152+5 2.951209-5 1.242097+5 3.090295-5 1.254500+5 3.273407-5 1.260557+5 3.467369-5 1.257482+5 3.672823-5 1.246446+5 3.935501-5 1.224065+5 4.216965-5 1.193467+5 4.518559-5 1.156235+5 4.900000-5 1.105712+5 5.308844-5 1.050243+5 5.754399-5 9.899987+4 6.237348-5 9.268532+4 6.800000-5 8.571780+4 7.413102-5 7.869479+4 8.128305-5 7.125816+4 8.912509-5 6.405470+4 9.885531-5 5.638779+4 1.122018-4 4.782784+4 1.300000-4 3.916140+4 1.548817-4 3.063835+4 1.949845-4 2.199286+4 2.884032-4 1.243543+4 3.235937-4 1.045258+4 3.715352-4 8.424855+3 4.216965-4 6.868670+3 5.069907-4 5.057252+3 6.531306-4 3.291949+3 7.413102-4 2.641675+3 8.511380-4 2.063251+3 1.023293-3 1.471506+3 1.230269-3 1.041505+3 1.462177-3 7.475775+2 1.717908-3 5.445239+2 2.041738-3 3.847574+2 2.426610-3 2.697278+2 2.884032-3 1.875945+2 3.427678-3 1.294381+2 4.120975-3 8.640920+1 4.786301-3 6.174599+1 5.559043-3 4.378667+1 6.531306-3 3.000303+1 7.585776-3 2.097058+1 8.810489-3 1.455581+1 1.035142-2 9.748777+0 1.216186-2 6.478932+0 1.428894-2 4.273131+0 1.678804-2 2.797193+0 1.972423-2 1.817661+0 2.317395-2 1.172627+0 2.754229-2 7.276119-1 3.273407-2 4.480742-1 3.935501-2 2.650710-1 4.786301-2 1.505364-1 5.821032-2 8.479368-2 7.328245-2 4.280388-2 9.660509-2 1.868700-2 1.717908-1 3.271848-3 2.238721-1 1.479452-3 2.630268-1 9.188785-4 3.019952-1 6.150005-4 3.427678-1 4.284017-4 3.845918-1 3.104925-4 4.265795-1 2.338919-4 4.731513-1 1.773869-4 5.248075-1 1.355431-4 5.754399-1 1.074346-4 6.309573-1 8.573084-5 6.918310-1 6.889215-5 7.585776-1 5.575318-5 8.317638-1 4.543645-5 9.120108-1 3.730037-5 9.885531-1 3.159677-5 1.135011+0 2.401312-5 1.273503+0 1.928291-5 1.428894+0 1.559090-5 1.603245+0 1.270408-5 1.778279+0 1.064663-5 1.949845+0 9.162855-6 2.290868+0 7.134780-6 2.691535+0 5.595910-6 3.054921+0 4.653416-6 3.548134+0 3.777728-6 4.168694+0 3.042526-6 4.954502+0 2.432324-6 5.956621+0 1.931667-6 7.328245+0 1.502570-6 8.912509+0 1.193734-6 1.135011+1 9.048620-7 1.479108+1 6.736277-7 1.972423+1 4.924210-7 2.851018+1 3.325957-7 4.168694+1 2.235604-7 7.673615+1 1.193551-7 1.380384+2 6.574199-8 2.754229+2 3.275683-8 2.187762+3 4.103044-9 1.000000+5 8.96910-11 1 27000 7 0 5.893320+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 7.810000-6 7.810000-6 1.000000+5 7.810000-6 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 7.810000-6 0.0 1.000000+5 1.000000+5 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.311660-8 1.028750+0 3.311660-7 1.032000+0 1.067110-6 1.033200+0 1.494840-6 1.034000+0 1.835050-6 1.035300+0 2.490820-6 1.036640+0 3.311660-6 1.038200+0 4.469190-6 1.039700+0 5.806380-6 1.041500+0 7.725320-6 1.043800+0 1.072300-5 1.046400+0 1.491900-5 1.048300+0 1.857460-5 1.051200+0 2.519610-5 1.054080+0 3.311660-5 1.057700+0 4.514000-5 1.061100+0 5.871570-5 1.065100+0 7.773300-5 1.070400+0 1.084450-4 1.076200+0 1.498710-4 1.080600+0 1.871640-4 1.087100+0 2.521720-4 1.093710+0 3.311660-4 1.102600+0 4.591630-4 1.110700+0 5.988480-4 1.120600+0 8.010950-4 1.133300+0 1.113900-3 1.147500+0 1.537990-3 1.158200+0 1.911340-3 1.174100+0 2.554490-3 1.190110+0 3.311660-3 1.205100+0 4.121770-3 1.227500+0 5.515960-3 1.250000+0 7.130000-3 1.265600+0 8.367290-3 1.294900+0 1.093630-2 1.331800+0 1.459230-2 1.362600+0 1.796860-2 1.411700+0 2.390150-2 1.455800+0 2.976090-2 1.500000+0 3.613000-2 1.562500+0 4.599150-2 1.617200+0 5.541300-2 1.712900+0 7.351130-2 1.784700+0 8.828430-2 1.892300+0 1.119500-1 2.000000+0 1.369000-1 2.044000+0 1.473000-1 2.163500+0 1.759670-1 2.372600+0 2.269750-1 2.647100+0 2.940350-1 3.000000+0 3.788000-1 3.437500+0 4.805080-1 4.000000+0 6.043000-1 4.750000+0 7.558060-1 5.000000+0 8.034000-1 6.000000+0 9.807000-1 7.000000+0 1.138000+0 8.000000+0 1.280000+0 9.000000+0 1.408000+0 1.000000+1 1.524000+0 1.100000+1 1.630000+0 1.200000+1 1.726000+0 1.300000+1 1.815000+0 1.400000+1 1.899000+0 1.500000+1 1.976000+0 1.600000+1 2.049000+0 1.800000+1 2.183000+0 2.000000+1 2.302000+0 2.200000+1 2.410000+0 2.400000+1 2.508000+0 2.600000+1 2.598000+0 2.800000+1 2.680000+0 3.000000+1 2.756000+0 4.000000+1 3.065000+0 5.000000+1 3.296000+0 6.000000+1 3.478000+0 8.000000+1 3.748000+0 1.000000+2 3.941000+0 1.500000+2 4.251000+0 2.000000+2 4.437000+0 3.000000+2 4.655000+0 4.000000+2 4.781000+0 5.000000+2 4.864000+0 6.000000+2 4.924000+0 8.000000+2 5.003000+0 1.000000+3 5.054000+0 1.500000+3 5.129000+0 2.000000+3 5.169000+0 3.000000+3 5.213000+0 4.000000+3 5.237000+0 5.000000+3 5.252000+0 6.000000+3 5.262000+0 8.000000+3 5.276000+0 1.000000+4 5.285000+0 1.500000+4 5.296000+0 2.000000+4 5.303000+0 3.000000+4 5.309000+0 4.000000+4 5.313000+0 5.000000+4 5.315000+0 6.000000+4 5.317000+0 8.000000+4 5.319000+0 1.000000+5 5.320000+0 1 27000 7 8 5.893320+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 2.710300-7 2.114000+0 1.221810-6 2.119500+0 1.521140-6 2.127900+0 2.062950-6 2.136250+0 2.710300-6 2.147000+0 3.716010-6 2.156900+0 4.826650-6 2.169000+0 6.441470-6 2.184500+0 8.953860-6 2.201800+0 1.238790-5 2.214800+0 1.543440-5 2.234200+0 2.076200-5 2.253680+0 2.710300-5 2.281500+0 3.796260-5 2.307000+0 4.986380-5 2.338200+0 6.704620-5 2.377400+0 9.285120-5 2.410200+0 1.180910-4 2.446800+0 1.502190-4 2.485900+0 1.891340-4 2.532900+0 2.420500-4 2.556430+0 2.710300-4 2.611900+0 3.455910-4 2.660400+0 4.177970-4 2.745300+0 5.591870-4 2.809000+0 6.772030-4 2.904500+0 8.723920-4 3.000000+0 1.089000-3 3.125000+0 1.404330-3 3.234400+0 1.708910-3 3.425800+0 2.301710-3 3.569300+0 2.791480-3 3.784700+0 3.589230-3 4.000000+0 4.447000-3 4.250000+0 5.495750-3 4.625000+0 7.144050-3 5.000000+0 8.858000-3 5.500000+0 1.121190-2 6.000000+0 1.360000-2 6.750000+0 1.715890-2 7.000000+0 1.833000-2 8.000000+0 2.291000-2 9.000000+0 2.730000-2 1.000000+1 3.148000-2 1.100000+1 3.543000-2 1.200000+1 3.917000-2 1.300000+1 4.270000-2 1.400000+1 4.606000-2 1.500000+1 4.924000-2 1.600000+1 5.227000-2 1.800000+1 5.789000-2 2.000000+1 6.302000-2 2.200000+1 6.773000-2 2.400000+1 7.206000-2 2.600000+1 7.608000-2 2.800000+1 7.981000-2 3.000000+1 8.328000-2 4.000000+1 9.778000-2 5.000000+1 1.089000-1 6.000000+1 1.178000-1 8.000000+1 1.313000-1 1.000000+2 1.412000-1 1.500000+2 1.578000-1 2.000000+2 1.684000-1 3.000000+2 1.814000-1 4.000000+2 1.893000-1 5.000000+2 1.947000-1 6.000000+2 1.987000-1 8.000000+2 2.042000-1 1.000000+3 2.080000-1 1.500000+3 2.135000-1 2.000000+3 2.167000-1 3.000000+3 2.201000-1 4.000000+3 2.222000-1 5.000000+3 2.234000-1 6.000000+3 2.243000-1 8.000000+3 2.255000-1 1.000000+4 2.262000-1 1.500000+4 2.273000-1 2.000000+4 2.278000-1 3.000000+4 2.284000-1 4.000000+4 2.288000-1 5.000000+4 2.290000-1 6.000000+4 2.291000-1 8.000000+4 2.293000-1 1.000000+5 2.294000-1 1 27000 7 8 5.893320+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 27000 7 9 5.893320+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 2.700000+1 1.000000+5 2.700000+1 5.000000+5 2.698300+1 7.500000+5 2.697070+1 1.000000+6 2.696200+1 1.500000+6 2.693500+1 1.875000+6 2.689890+1 2.000000+6 2.688500+1 2.500000+6 2.682200+1 3.000000+6 2.674500+1 3.500000+6 2.665450+1 4.000000+6 2.655600+1 4.500000+6 2.644700+1 5.000000+6 2.632900+1 5.500000+6 2.619590+1 6.156200+6 2.600910+1 6.500000+6 2.590730+1 6.718700+6 2.583750+1 7.000000+6 2.575100+1 7.500000+6 2.558910+1 8.250000+6 2.533660+1 8.500000+6 2.525280+1 9.000000+6 2.508200+1 9.750000+6 2.481900+1 1.000000+7 2.473200+1 1.062500+7 2.450590+1 1.156300+7 2.415960+1 1.187500+7 2.404110+1 1.250000+7 2.380800+1 1.437500+7 2.310300+1 1.500000+7 2.287300+1 1.750000+7 2.197200+1 2.000000+7 2.107900+1 2.250000+7 2.020540+1 2.500000+7 1.935200+1 2.750000+7 1.851700+1 3.000000+7 1.769800+1 3.250000+7 1.689490+1 3.437500+7 1.630900+1 3.578100+7 1.588220+1 3.859400+7 1.505510+1 4.000000+7 1.465900+1 4.437500+7 1.349610+1 4.500000+7 1.333980+1 5.000000+7 1.217200+1 5.750000+7 1.069270+1 6.000000+7 1.027000+1 6.750000+7 9.187580+0 7.000000+7 8.884300+0 7.750000+7 8.121480+0 8.000000+7 7.908600+0 8.750000+7 7.371440+0 9.000000+7 7.218900+0 1.000000+8 6.704300+0 1.125000+8 6.187700+0 1.187500+8 5.957090+0 1.250000+8 5.735800+0 1.359400+8 5.361560+0 1.453100+8 5.051330+0 1.500000+8 4.899000+0 1.589800+8 4.611730+0 1.665000+8 4.375190+0 1.748800+8 4.116250+0 1.750000+8 4.112610+0 1.838500+8 3.844480+0 1.919300+8 3.605330+0 2.000000+8 3.372600+0 2.281300+8 2.672390+0 2.359400+8 2.526600+0 2.375000+8 2.500270+0 2.453100+8 2.382500+0 2.500000+8 2.322600+0 2.562500+8 2.254690+0 2.781300+8 2.066230+0 2.890600+8 1.973830+0 2.972700+8 1.897020+0 3.000000+8 1.869800+0 3.062500+8 1.803880+0 3.335900+8 1.529590+0 3.418000+8 1.466790+0 3.500000+8 1.417000+0 3.589800+8 1.377780+0 3.665000+8 1.353770+0 3.712900+8 1.341470+0 4.000000+8 1.283100+0 4.125000+8 1.253040+0 4.234400+8 1.223430+0 4.425800+8 1.167620+0 5.000000+8 1.015400+0 5.750000+8 8.782710-1 6.000000+8 8.353000-1 6.250000+8 7.902010-1 7.000000+8 6.731000-1 7.625000+8 6.018480-1 7.875000+8 5.738750-1 8.000000+8 5.593000-1 8.250000+8 5.285930-1 8.468800+8 5.009890-1 8.660200+8 4.768860-1 8.995100+8 4.359430-1 9.246300+8 4.069450-1 1.000000+9 3.317000-1 1.218800+9 1.972660-1 1.315400+9 1.606410-1 1.381300+9 1.403280-1 1.460400+9 1.197680-1 1.500000+9 1.107700-1 1.562500+9 9.805210-2 1.671900+9 7.959190-2 1.753900+9 6.836800-2 1.877000+9 5.484920-2 2.000000+9 4.444100-2 2.187500+9 3.284430-2 2.445700+9 2.237530-2 2.682600+9 1.618960-2 2.972200+9 1.125250-2 3.344000+9 7.364480-3 3.935400+9 4.069590-3 5.000000+9 1.685100-3 8.000000+9 2.969300-4 9.500000+9 1.579600-4 1.00000+10 1.309600-4 1.20500+10 6.663520-5 1.41820+10 3.718450-5 1.71170+10 1.910590-5 2.01490+10 1.079420-5 2.26440+10 7.197330-6 2.74790+10 3.698620-6 3.20120+10 2.198260-6 3.62610+10 1.442210-6 4.42280+10 7.408800-7 5.12000+10 4.553060-7 6.34000+10 2.249800-7 7.94120+10 1.077730-7 1.00000+11 5.107100-8 1.17140+11 3.069920-8 1.55940+11 1.231210-8 2.04410+11 5.227590-9 2.99030+11 1.587100-9 4.21500+11 5.47432-10 7.29680+11 1.01874-10 1.61310+12 9.31121-12 4.52640+12 4.37240-13 2.12750+13 4.77348-15 1.00000+14 5.32360-17 5.62340+14 3.37961-19 7.49890+15 1.57593-22 1.00000+17 6.97750-26 1 27000 7 0 5.893320+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 4.70000-12 1.000000+2 4.70000-10 1.000000+3 4.700000-8 1.000000+4 4.700000-6 1.000000+5 4.700000-4 5.000000+5 1.175000-2 7.500000+5 2.643750-2 1.000000+6 4.700000-2 1.500000+6 1.056000-1 1.875000+6 1.636590-1 2.000000+6 1.856000-1 2.500000+6 2.858000-1 3.000000+6 4.044000-1 3.500000+6 5.392230-1 4.000000+6 6.881000-1 4.500000+6 8.488380-1 5.000000+6 1.019000+0 5.500000+6 1.196090+0 6.156200+6 1.435720+0 6.500000+6 1.563290+0 6.718700+6 1.644700+0 7.000000+6 1.749700+0 7.500000+6 1.935790+0 8.250000+6 2.212460+0 8.500000+6 2.303440+0 9.000000+6 2.483400+0 9.750000+6 2.746250+0 1.000000+7 2.832000+0 1.062500+7 3.041480+0 1.156300+7 3.344790+0 1.187500+7 3.442950+0 1.250000+7 3.635800+0 1.437500+7 4.190000+0 1.500000+7 4.369000+0 1.750000+7 5.069700+0 2.000000+7 5.764000+0 2.250000+7 6.456570+0 2.500000+7 7.142800+0 2.750000+7 7.815210+0 3.000000+7 8.469000+0 3.250000+7 9.097990+0 3.437500+7 9.554430+0 3.578100+7 9.887910+0 3.859400+7 1.053230+1 4.000000+7 1.084400+1 4.437500+7 1.176770+1 4.500000+7 1.189530+1 5.000000+7 1.286700+1 5.750000+7 1.418860+1 6.000000+7 1.459600+1 6.750000+7 1.571060+1 7.000000+7 1.605000+1 7.750000+7 1.697080+1 8.000000+7 1.724900+1 8.750000+7 1.800140+1 9.000000+7 1.822900+1 1.000000+8 1.903900+1 1.125000+8 1.988210+1 1.187500+8 2.025110+1 1.250000+8 2.059600+1 1.359400+8 2.114560+1 1.453100+8 2.157480+1 1.500000+8 2.177700+1 1.589800+8 2.214000+1 1.665000+8 2.242230+1 1.748800+8 2.271480+1 1.750000+8 2.271870+1 1.838500+8 2.300310+1 1.919300+8 2.324210+1 2.000000+8 2.346200+1 2.281300+8 2.409880+1 2.359400+8 2.424290+1 2.375000+8 2.427110+1 2.453100+8 2.440430+1 2.500000+8 2.448000+1 2.562500+8 2.457180+1 2.781300+8 2.485740+1 2.890600+8 2.498010+1 2.972700+8 2.506440+1 3.000000+8 2.509200+1 3.062500+8 2.514890+1 3.335900+8 2.537620+1 3.418000+8 2.543730+1 3.500000+8 2.549700+1 3.589800+8 2.555570+1 3.665000+8 2.560390+1 3.712900+8 2.563410+1 4.000000+8 2.579900+1 4.125000+8 2.586230+1 4.234400+8 2.591620+1 4.425800+8 2.600760+1 5.000000+8 2.623800+1 5.750000+8 2.646680+1 6.000000+8 2.653100+1 6.250000+8 2.658410+1 7.000000+8 2.671700+1 7.625000+8 2.679330+1 7.875000+8 2.681800+1 8.000000+8 2.683000+1 8.250000+8 2.684800+1 8.468800+8 2.686340+1 8.660200+8 2.687650+1 8.995100+8 2.689610+1 9.246300+8 2.690700+1 1.000000+9 2.693800+1 1.218800+9 2.697740+1 1.315400+9 2.698710+1 1.381300+9 2.698960+1 1.460400+9 2.699260+1 1.500000+9 2.699400+1 1.562500+9 2.699470+1 1.671900+9 2.699590+1 1.753900+9 2.699670+1 1.877000+9 2.699790+1 2.000000+9 2.699900+1 2.187500+9 2.699910+1 2.445700+9 2.699920+1 2.682600+9 2.699930+1 2.972200+9 2.699940+1 3.344000+9 2.699960+1 3.935400+9 2.699970+1 5.000000+9 2.700000+1 8.000000+9 2.700000+1 9.500000+9 2.700000+1 1.00000+10 2.700000+1 1.20500+10 2.700000+1 1.41820+10 2.700000+1 1.71170+10 2.700000+1 2.01490+10 2.700000+1 2.26440+10 2.700000+1 2.74790+10 2.700000+1 3.20120+10 2.700000+1 3.62610+10 2.700000+1 4.42280+10 2.700000+1 5.12000+10 2.700000+1 6.34000+10 2.700000+1 7.94120+10 2.700000+1 1.00000+11 2.700000+1 1.17140+11 2.700000+1 1.55940+11 2.700000+1 2.04410+11 2.700000+1 2.99030+11 2.700000+1 4.21500+11 2.700000+1 7.29680+11 2.700000+1 1.61310+12 2.700000+1 4.52640+12 2.700000+1 2.12750+13 2.700000+1 1.00000+14 2.700000+1 5.62340+14 2.700000+1 7.49890+15 2.700000+1 1.00000+17 2.700000+1 1 27000 7 0 5.893320+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.008204-6 0.0 4.009609-6 0.0 4.026880-6 3.108315+0 4.029347-6 3.547829+0 4.039216-6 6.480400+0 4.049085-6 1.092685+1 4.051898-6 1.265674+1 4.060566-6 2.135637+1 4.073091-6 3.571623+1 4.085246-6 5.308677+1 4.108300-6 9.075057+1 4.122334-6 1.089589+2 4.133298-6 1.176252+2 4.143596-6 1.192263+2 4.153678-6 1.138779+2 4.163395-6 1.027187+2 4.175161-6 8.329030+1 4.191523-6 5.296665+1 4.201496-6 3.605502+1 4.206991-6 2.818124+1 4.211469-6 2.260217+1 4.221443-6 1.346928+1 4.231416-6 7.409560+0 4.246376-6 1.883540+0 4.251362-6 0.0 5.297928-6 0.0 5.310968-6 7.96004-15 5.324009-6 1.57507-14 5.337049-6 2.87700-14 5.350089-6 4.85101-14 5.363129-6 7.55056-14 5.376169-6 1.08488-13 5.389209-6 1.43891-13 5.402250-6 1.76174-13 5.415290-6 1.99116-13 5.428330-6 2.07741-13 5.441370-6 2.00075-13 5.454410-6 1.77875-13 5.467451-6 1.45980-13 5.493531-6 7.73415-14 5.506571-6 4.99290-14 5.519611-6 2.97541-14 5.532651-6 1.63680-14 5.545692-6 8.31184-15 5.558732-6 0.0 6.084644-6 0.0 6.095624-6 4.630702-2 6.114597-6 3.033020-1 6.125631-6 4.814182-1 6.130957-6 6.052102-1 6.141124-6 8.725714-1 6.153960-6 1.343451+0 6.161432-6 1.688464+0 6.174146-6 2.337243+0 6.208229-6 4.294676+0 6.220808-6 4.856061+0 6.235113-6 5.234968+0 6.246598-6 5.282374+0 6.261831-6 4.964155+0 6.281532-6 4.059755+0 6.314410-6 2.163661+0 6.324269-6 1.656207+0 6.335682-6 1.163003+0 6.350685-6 6.846850-1 6.365689-6 3.723829-1 6.384176-6 1.137102-1 6.395696-6 7.183563-5 6.405423-6 5.312035-5 6.420591-6 3.163839-5 6.435760-6 1.739557-5 6.450929-6 8.780108-6 6.465647-6 1.585817-7 6.466098-6 0.0 6.773753-6 0.0 6.778203-6 3.765068-3 6.804867-6 7.819684-2 6.811571-6 9.918581-2 6.823771-6 1.553969-1 6.828254-6 1.792756-1 6.844938-6 2.993191-1 6.861622-6 4.616115-1 6.907135-6 1.003902+0 6.928356-6 1.179863+0 6.945040-6 1.222914+0 6.961724-6 1.170590+0 6.978407-6 1.034774+0 7.028458-6 4.432538-1 7.045142-6 2.849156-1 7.057189-6 1.988986-1 7.061826-6 1.691072-1 7.073862-6 1.120849-1 7.078509-6 9.267907-2 7.088720-6 6.426841-2 7.107207-6 2.971466-2 7.111877-6 2.488875-2 7.123104-6 3.679764-2 7.141064-6 6.801172-2 7.158512-6 1.141290-1 7.175960-6 1.768502-1 7.226025-6 3.989828-1 7.245752-6 4.594444-1 7.263200-6 4.817891-1 7.280648-6 4.717036-1 7.298096-6 4.307655-1 7.332992-6 3.181185-1 7.350440-6 2.745970-1 7.367888-6 2.535326-1 7.385336-6 2.515869-1 7.420992-6 2.765103-1 7.449354-6 2.906699-1 7.475789-6 2.928428-1 7.554821-6 2.675562-1 7.710529-6 2.384780-1 7.746063-6 2.322544-1 7.898658-6 2.111864-1 8.024811-6 1.927375-1 8.420999-6 1.469884-1 8.840326-6 1.095537-1 9.252600-6 8.136250-2 9.651173-6 6.036564-2 9.795008-6 5.399330-2 9.843227-6 7.390138-1 9.867336-6 1.305903+0 9.892952-6 2.239304+0 9.917379-6 3.452343+0 9.995173-6 8.236163+0 1.001713-5 9.210720+0 1.004110-5 9.769083+0 1.006926-5 9.740140+0 1.016453-5 7.882382+0 1.021520-5 7.113224+0 1.024281-5 6.412993+0 1.026751-5 5.474754+0 1.027719-5 5.001879+0 1.033243-5 2.837041+0 1.036244-5 1.767616+0 1.038698-5 1.113706+0 1.041152-5 6.574564-1 1.043100-5 4.218756-1 1.045565-5 1.512850-1 1.046059-5 1.017524-1 1.050493-5 3.013093-2 1.085482-5 2.197043-2 1.117692-5 1.605792-2 1.142436-5 1.238599-2 1.170146-5 9.037650-3 1.183871-5 7.643005-3 1.189698-5 1.350982-1 1.192612-5 2.406363-1 1.195526-5 4.007995-1 1.198735-5 6.476648-1 1.205864-5 1.336014+0 1.207448-5 1.494967+0 1.210783-5 1.729709+0 1.213748-5 1.840987+0 1.216785-5 1.854014+0 1.222523-5 1.710509+0 1.234542-5 1.328124+0 1.238914-5 1.097784+0 1.242149-5 8.606688-1 1.249195-5 4.230765-1 1.252130-5 2.758778-1 1.254883-5 1.931260-1 1.257883-5 1.408488-1 1.258989-5 1.348909-1 1.261376-5 1.303185-1 1.263777-5 1.408431-1 1.264458-5 1.527166-1 1.267540-5 2.348196-1 1.273948-5 4.568837-1 1.276972-5 5.697267-1 1.280107-5 6.571855-1 1.283242-5 7.095136-1 1.286378-5 7.358289-1 1.298107-5 7.117669-1 1.308453-5 7.552990-1 1.315134-5 7.051726-1 1.323235-5 6.294303-1 1.328553-5 6.235419-1 1.343246-5 6.742387-1 1.367143-5 6.301768-1 1.413051-5 6.770578-1 1.564992-5 7.633619-1 1.725000-5 9.021824-1 1.936771-5 1.149447+0 2.264644-5 1.634358+0 2.709272-5 2.441936+0 4.093994-5 5.249335+0 4.903035-5 6.492256+0 5.692721-5 7.285770+0 5.714427-5 7.636115+0 5.742557-5 1.229396+1 5.756623-5 1.616782+1 5.772446-5 2.282897+1 5.786883-5 3.086950+1 5.826949-5 5.641849+1 5.842306-5 6.222093+1 5.856501-5 6.349474+1 5.870792-5 6.032568+1 5.896033-5 4.754943+1 5.921695-5 3.331799+1 5.927383-5 3.071127+1 5.941744-5 2.642855+1 5.954829-5 2.514976+1 5.968908-5 2.610840+1 6.002289-5 3.242695+1 6.015566-5 3.522088+1 6.030442-5 3.605111+1 6.044922-5 3.464030+1 6.060816-5 3.086684+1 6.100242-5 1.826008+1 6.114722-5 1.447987+1 6.129202-5 1.170002+1 6.143683-5 9.858526+0 6.172643-5 7.613649+0 6.818531-5 7.922242+0 6.906522-5 8.335524+0 6.973676-5 8.934734+0 7.107689-5 8.968511+0 7.198088-5 9.274758+0 1.006448-4 8.916812+0 1.040257-4 8.978282+0 1.061201-4 9.877632+0 1.077168-4 9.376113+0 1.584893-4 8.705557+0 2.802205-4 6.201490+0 3.540483-4 5.064608+0 4.365158-4 4.131100+0 5.329596-4 3.341782+0 6.358010-4 2.732820+0 7.596512-4 2.204958+0 7.598688-4 2.212704+0 7.636094-4 3.646530+0 7.654798-4 4.838887+0 7.675172-4 6.867520+0 7.694701-4 9.533663+0 7.744905-4 1.769898+1 7.764625-4 2.038373+1 7.773739-4 2.123088+1 7.792033-4 2.200904+1 7.811291-4 2.165024+1 7.877666-4 1.747567+1 7.918251-4 1.686734+1 7.949805-4 1.677018+1 8.048207-4 1.355671+1 8.072000-4 1.327993+1 8.131793-4 1.381718+1 8.210024-4 1.511770+1 8.317638-4 1.550958+1 9.040559-4 1.401157+1 9.171805-4 1.463850+1 9.273309-4 1.510104+1 1.110510-3 1.193522+1 1.301293-3 9.570136+0 1.513034-3 7.654843+0 1.742845-3 6.171424+0 2.005403-3 4.948884+0 2.299727-3 3.970392+0 2.637045-3 3.173124+0 3.006576-3 2.549516+0 3.388442-3 2.083229+0 3.778378-3 1.728974+0 4.263877-3 1.402882+0 4.784087-3 1.147606+0 5.349301-3 9.421683-1 5.950200-3 7.795789-1 6.701633-3 6.301748-1 7.456648-3 5.204210-1 7.494942-3 5.211152-1 7.529709-3 5.517140-1 7.549410-3 5.962736-1 7.567856-3 6.720991-1 7.582876-3 7.684458-1 7.600986-3 9.344970-1 7.621088-3 1.190920+0 7.640365-3 1.507754+0 7.713635-3 2.910069+0 7.743600-3 3.322790+0 7.783559-3 3.620321+0 7.845758-3 3.724037+0 9.266124-3 2.891613+0 1.054283-2 2.337659+0 1.199012-2 1.888574+0 1.352530-2 1.534877+0 1.557144-2 1.201932+0 1.740733-2 9.849765-1 1.937888-2 8.119242-1 2.139827-2 6.766347-1 2.385909-2 5.531788-1 2.629383-2 4.607383-1 2.931078-2 3.748097-1 3.217754-2 3.133419-1 3.576701-2 2.552347-1 3.910592-2 2.142499-1 4.329151-2 1.754546-1 4.737221-2 1.465648-1 5.295255-2 1.173529-1 5.875017-2 9.503764-2 6.570735-2 7.575570-2 7.300799-2 6.105226-2 8.156359-2 4.861604-2 8.955847-2 4.011458-2 1.000877-1 3.188541-2 1.109549-1 2.574892-2 1.215503-1 2.132484-2 1.333162-1 1.761741-2 1.463602-1 1.452467-2 1.598697-1 1.209623-2 1.741733-1 1.014770-2 1.927525-1 8.257257-3 2.096842-1 6.955785-3 2.306150-1 5.751333-3 2.540973-1 4.741657-3 2.804708-1 3.916616-3 3.047374-1 3.340207-3 3.344062-1 2.806309-3 3.685895-1 2.348136-3 4.105271-1 1.940105-3 4.645487-1 1.572425-3 5.137617-1 1.335307-3 5.689918-1 1.140989-3 6.433730-1 9.537864-4 7.415770-1 7.876732-4 8.585192-1 6.583197-4 9.660509-1 5.771377-4 1.173413+0 4.722518-4 1.410753+0 3.897378-4 1.696098+0 3.216410-4 2.039158+0 2.654425-4 2.451607+0 2.190631-4 2.947480+0 1.807874-4 3.543651+0 1.491994-4 4.260405+0 1.231306-4 5.122134+0 1.016167-4 6.158159+0 8.386176-5 7.403736+0 6.920905-5 8.901248+0 5.711653-5 9.760024+0 5.188732-5 1.000000+1 1.034957-4 1 27000 7 0 5.893320+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-2.688091+1 2.634008-6-2.569524+1 3.257094-6-2.388075+1 3.529634-6-2.187882+1 3.683738-6-1.965504+1 3.788364-6-1.698642+1 3.849384-6-1.448684+1 3.893574-6-1.183244+1 3.913999-6-1.021265+1 3.936408-6-8.002528+0 3.953564-6-5.878466+0 3.966700-6-3.894151+0 3.972063-6-2.967122+0 3.976756-6-2.088236+0 3.980863-6-1.259750+0 3.984456-6-4.829605-1 3.990744-6 1.013972+0 3.995460-6 2.277017+0 3.998997-6 3.324371+0 4.001650-6 4.180539+0 4.005629-6 5.618770+0 4.008614-6 6.900677+0 4.010842-6 8.108549+0 4.026880-6 1.517975+1 4.039216-6 2.217538+1 4.049085-6 2.874445+1 4.054323-6 3.320301+1 4.063385-6 3.830154+1 4.075272-6 4.246674+1 4.085246-6 4.322986+1 4.093854-6 4.089958+1 4.101190-6 3.626482+1 4.106967-6 3.054533+1 4.116681-6 1.723724+1 4.119824-6 1.226926+1 4.121239-6 9.714621+0 4.122334-6 7.426136+0 4.127009-6-1.260462+0 4.129054-6-5.222956+0 4.130697-6-8.662622+0 4.131560-6-1.069485+1 4.132741-6-1.360252+1 4.139059-6-2.706446+1 4.141598-6-2.102735+1 4.143596-6-1.605647+1 4.148994-6-4.468351+0 4.150312-6-1.579139+0 4.150971-6-5.798315-2 4.151300-6 7.460975-1 4.151942-6 2.492257+0 4.152546-6 3.927882+0 4.153678-6 6.392059+0 4.154668-6 8.420371+0 4.163395-6 2.523872+1 4.166975-6 3.088446+1 4.172823-6 3.901415+1 4.178996-6 4.509206+1 4.186238-6 4.936053+1 4.191523-6 5.052393+1 4.200250-6 4.959215+1 4.210350-6 4.394313+1 4.234844-6 2.644694+1 4.248869-6 1.836642+1 4.252384-6 1.556946+1 4.256465-6 1.307835+1 4.262559-6 1.024452+1 4.270632-6 7.277526+0 4.278642-6 4.880204+0 4.282624-6 3.835524+0 4.286590-6 2.873673+0 4.290540-6 1.983768+0 4.298410-6 3.832450-1 4.306219-6-1.016208+0 4.313967-6-2.253120+0 4.321654-6-3.356069+0 4.329281-6-4.346896+0 4.344357-6-6.057070+0 4.366532-6-8.112569+0 4.402462-6-1.064600+1 4.443785-6-1.277652+1 4.508462-6-1.511705+1 4.608000-6-1.742673+1 4.759696-6-1.951911+1 5.054210-6-2.161814+1 6.025060-6-2.485223+1 6.122873-6-2.630420+1 6.181516-6-2.710538+1 6.217858-6-2.581180+1 6.273595-6-2.189703+1 6.308215-6-2.087784+1 6.365689-6-2.178231+1 6.450929-6-2.309622+1 6.899784-6-2.480186+1 7.017815-6-2.363939+1 7.235889-6-2.449976+1 7.935962-6-2.471954+1 9.360182-6-2.611759+1 9.691671-6-2.714234+1 9.797736-6-2.561750+1 9.920800-6-2.277047+1 9.968135-6-2.317189+1 1.001127-5-2.514567+1 1.004110-5-2.720692+1 1.012184-5-2.342676+1 1.027719-5-1.921364+1 1.034475-5-1.917859+1 1.051331-5-2.209718+1 1.075728-5-2.348329+1 1.188970-5-2.573877+1 1.206656-5-2.607789+1 1.226655-5-2.460487+1 1.248314-5-2.419984+1 1.276972-5-2.527900+1 1.382975-5-2.519147+1 3.102652-5-2.692485+1 4.864830-5-2.718331+1 5.260401-5-2.461016+1 5.450366-5-2.201068+1 5.557142-5-1.925648+1 5.617881-5-1.659557+1 5.654335-5-1.414514+1 5.678551-5-1.180757+1 5.692721-5-9.917169+0 5.705270-5-7.767265+0 5.712710-5-6.093313+0 5.715216-5-5.257406+0 5.720796-5-3.803777+0 5.734757-5-7.154534-1 5.738657-5 1.974929-1 5.740607-5 6.855376-1 5.742557-5 1.256873+0 5.756623-5 4.893113+0 5.758381-5 5.423974+0 5.772446-5 8.494141+0 5.775523-5 8.974329+0 5.786883-5 1.006103+1 5.792623-5 9.934525+0 5.798765-5 9.238573+0 5.805662-5 7.843829+0 5.811422-5 6.158462+0 5.816051-5 4.398608+0 5.817439-5 3.779176+0 5.822889-5 9.307833-1 5.824919-5-2.462356-1 5.825934-5-8.897513-1 5.827828-5-2.281316+0 5.836070-5-7.723939+0 5.840088-5-1.076952+1 5.842306-5-1.285768+1 5.854660-5-2.271040+1 5.856501-5-2.455063+1 5.869300-5-1.762958+1 5.873977-5-1.425223+1 5.878899-5-1.149672+1 5.883269-5-9.398595+0 5.889763-5-6.556342+0 5.893051-5-5.368508+0 5.896033-5-4.479796+0 5.898643-5-3.821811+0 5.900927-5-3.331289+0 5.902925-5-2.965521+0 5.906421-5-2.467596+0 5.909044-5-2.216237+0 5.911011-5-2.100852+0 5.913961-5-2.060262+0 5.915436-5-2.112893+0 5.921695-5-2.798448+0 5.924086-5-3.167836+0 5.925880-5-3.562284+0 5.927383-5-4.048266+0 5.935867-5-5.890115+0 5.939685-5-6.904095+0 5.943218-5-8.196954+0 5.953054-5-1.094052+1 5.956621-5-1.210498+1 5.970584-5-1.512374+1 5.980926-5-1.609384+1 5.996835-5-1.613495+1 6.006095-5-1.517113+1 6.012977-5-1.357974+1 6.027073-5-9.193312+0 6.030442-5-7.840893+0 6.041207-5-4.359822+0 6.043225-5-3.529886+0 6.044922-5-2.951103+0 6.047892-5-2.059661+0 6.056801-5 4.150389-1 6.058197-5 8.369999-1 6.060816-5 1.460099+0 6.065399-5 2.335405+0 6.068836-5 2.868790+0 6.073992-5 3.512396+0 6.079148-5 3.998153+0 6.084421-5 4.329722+0 6.091343-5 4.490785+0 6.095792-5 4.417368+0 6.098017-5 4.313603+0 6.111102-5 3.135659+0 6.112938-5 2.917717+0 6.118342-5 2.116590+0 6.123772-5 1.419454+0 6.126487-5 1.042740+0 6.129202-5 5.857969-1 6.143683-5-1.609124+0 6.146516-5-2.062505+0 6.151475-5-2.725686+0 6.169497-5-5.008619+0 6.176736-5-6.205369+0 6.188412-5-7.497692+0 6.210743-5-9.238423+0 6.240097-5-1.085483+1 6.293718-5-1.284735+1 6.373617-5-1.470079+1 6.516155-5-1.658198+1 6.942276-5-1.939570+1 7.067276-5-1.906481+1 7.198088-5-1.900804+1 1.006448-4-1.749932+1 1.054333-4-1.772369+1 1.070536-4-1.680714+1 1.584893-4-1.373981+1 2.041738-4-1.197702+1 2.580327-4-1.080807+1 3.292493-4-1.011061+1 4.111618-4-9.966978+0 5.017285-4-1.036615+1 5.911454-4-1.140493+1 6.544162-4-1.282645+1 6.951865-4-1.444882+1 7.208387-4-1.616738+1 7.391363-4-1.823696+1 7.411881-4-1.856185+1 7.536125-4-1.758366+1 7.589008-4-1.623085+1 7.678636-4-1.147103+1 7.698681-4-1.105182+1 7.713291-4-1.147097+1 7.729195-4-1.262487+1 7.749037-4-1.491756+1 7.770412-4-1.888173+1 7.789892-4-2.311591+1 7.818034-4-1.899303+1 7.842023-4-1.691922+1 7.866529-4-1.596771+1 7.918251-4-1.560666+1 7.949805-4-1.465660+1 7.978037-4-1.377690+1 8.024134-4-1.345781+1 8.108000-4-1.506363+1 8.153678-4-1.538082+1 8.362795-4-1.284159+1 8.538214-4-1.143379+1 8.797818-4-1.013275+1 8.985824-4-9.709589+0 9.145985-4-9.830016+0 9.231064-4-9.297997+0 9.341560-4-8.311279+0 9.522477-4-7.338000+0 9.885531-4-6.031290+0 1.031239-3-4.918678+0 1.088616-3-3.820278+0 1.138692-3-3.098151+0 1.191041-3-2.492283+0 1.255365-3-1.916476+0 1.301293-3-1.578367+0 1.364828-3-1.212494+0 1.408478-3-9.992435-1 1.449329-3-8.376520-1 1.513034-3-6.370568-1 1.585288-3-4.540684-1 1.623762-3-3.709905-1 1.663590-3-2.958582-1 1.707803-3-2.293512-1 1.742845-3-1.855095-1 1.776680-3-1.468266-1 1.829836-3-9.259710-2 1.873959-3-6.048003-2 1.919444-3-3.569019-2 1.950177-3-2.200213-2 1.956786-3-1.875538-2 1.998184-3-8.646474-4 2.000386-3-5.475989-5 2.001701-3 4.313637-4 2.003118-3 8.812658-4 2.050572-3 1.480864-2 2.072703-3 2.139065-2 2.105899-3 2.957205-2 2.152240-3 3.554219-2 2.205147-3 3.765552-2 2.232615-3 3.752828-2 2.260863-3 3.608408-2 2.321138-3 2.995895-2 2.393006-3 1.877765-2 2.409212-3 1.578305-2 2.437722-3 9.952693-3 2.460547-3 6.397147-3 2.472603-3 4.269980-3 2.510898-3-3.480797-3 2.571843-3-1.653476-2 2.714876-3-5.438278-2 2.863354-3-9.990710-2 3.161034-3-2.034866-1 5.148448-3-9.538683-1 5.752673-3-1.211328+0 6.306766-3-1.511208+0 6.701633-3-1.806444+0 6.997629-3-2.125966+0 7.235104-3-2.519709+0 7.388691-3-2.931360+0 7.483035-3-3.348937+0 7.549410-3-3.858118+0 7.648102-3-4.919215+0 7.681637-3-5.020697+0 7.723939-3-4.772821+0 7.825521-3-3.558430+0 7.890348-3-3.038643+0 7.963994-3-2.653069+0 8.066050-3-2.272846+0 8.208311-3-1.893293+0 8.370585-3-1.571797+0 8.581917-3-1.258690+0 8.797995-3-1.013715+0 9.098447-3-7.503273-1 9.382385-3-5.580128-1 9.632930-3-4.223725-1 9.876629-3-3.131889-1 1.013121-2-2.171160-1 1.026687-2-1.724971-1 1.040135-2-1.318643-1 1.054283-2-9.292056-2 1.069611-2-5.410775-2 1.085195-2-1.802124-2 1.094114-2-1.224297-4 1.109209-2 3.025352-2 1.128851-2 6.461987-2 1.159023-2 1.126647-1 1.199012-2 1.674680-1 1.225289-2 1.962630-1 1.258068-2 2.270855-1 1.319265-2 2.693797-1 1.385416-2 3.011720-1 1.483906-2 3.308722-1 1.598028-2 3.479078-1 1.799095-2 3.467475-1 2.064220-2 3.246701-1 2.931078-2 2.224396-1 3.442858-2 1.735250-1 4.040232-2 1.291868-1 4.613061-2 9.687412-2 5.168466-2 7.216619-2 5.699290-2 5.327544-2 6.277505-2 3.649273-2 6.698655-2 2.637236-2 7.132476-2 1.736483-2 7.442838-2 1.161592-2 7.809043-2 5.545271-3 7.959242-2 3.226004-3 8.156359-2 3.672517-4 8.325085-2-1.971104-3 8.521923-2-4.545916-3 8.719745-2-6.989065-3 9.146623-2-1.181790-2 9.747792-2-1.776883-2 1.052550-1-2.424678-2 1.141983-1-3.037398-2 1.293464-1-3.836902-2 1.502888-1-4.615591-2 1.799877-1-5.339520-2 2.232287-1-5.965105-2 3.047374-1-6.543592-2 4.645487-1-6.956538-2 9.660509-1-7.212832-2 2.947480+0-7.282205-2 8.901248+0-7.289635-2 1.000000+1-7.288367-2 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 7.355610-3 1.107478-6 1.130755-2 1.214582-6 1.677246-2 1.332045-6 2.508404-2 1.416598-6 3.297043-2 1.506519-6 4.353272-2 1.602148-6 5.777092-2 1.703846-6 7.710952-2 1.812001-6 1.036082-1 1.868626-6 1.204389-1 1.927020-6 1.402980-1 1.987240-6 1.638046-1 2.113383-6 2.243848-1 2.179426-6 2.634915-1 2.243721-6 3.076873-1 2.306006-6 3.572155-1 2.366345-6 4.125058-1 2.424799-6 4.740086-1 2.481425-6 5.421981-1 2.536283-6 6.175731-1 2.589425-6 7.006580-1 2.640908-6 7.920043-1 2.690781-6 8.921916-1 2.739096-6 1.001829+0 2.785901-6 1.121555+0 2.831243-6 1.252042+0 2.875168-6 1.393993+0 2.917721-6 1.548146+0 2.958944-6 1.715275+0 2.998879-6 1.896190+0 3.037566-6 2.091738+0 3.075043-6 2.302807+0 3.111350-6 2.530325+0 3.146522-6 2.775260+0 3.180595-6 3.038624+0 3.213603-6 3.321473+0 3.245580-6 3.624909+0 3.276557-6 3.950078+0 3.306566-6 4.298175+0 3.363801-6 5.068175+0 3.417514-6 5.945452+0 3.467923-6 6.941465+0 3.491952-6 7.488399+0 3.515230-6 8.071432+0 3.537781-6 8.692477+0 3.581473-6 1.007127+1 3.622435-6 1.161579+1 3.660836-6 1.334634+1 3.696837-6 1.528065+1 3.730588-6 1.743652+1 3.762230-6 1.983257+1 3.791894-6 2.248817+1 3.819704-6 2.542342+1 3.845776-6 2.865907+1 3.870218-6 3.221637+1 3.893133-6 3.611702+1 3.914616-6 4.038300+1 3.934756-6 4.503648+1 3.953637-6 5.009966+1 3.971338-6 5.559461+1 3.987933-6 6.154315+1 4.003491-6 6.796671+1 4.018076-6 7.488621+1 4.031750-6 8.232200+1 4.044569-6 9.029393+1 4.056587-6 9.882133+1 4.067853-6 1.079231+2 4.078416-6 1.176178+2 4.088318-6 1.279235+2 4.097602-6 1.388581+2 4.106305-6 1.504402+2 4.114465-6 1.626895+2 4.122114-6 1.756279+2 4.129285-6 1.892793+2 4.136009-6 2.036689+2 4.148614-6 2.358888+2 4.159644-6 2.715289+2 4.169296-6 3.105796+2 4.177741-6 3.527867+2 4.185130-6 3.976392+2 4.191596-6 4.444189+2 4.197253-6 4.922870+2 4.202203-6 5.403768+2 4.206535-6 5.878714+2 4.210325-6 6.340583+2 4.216957-6 7.265944+2 4.225663-6 8.741648+2 4.238159-6 1.148359+3 4.255105-6 1.663519+3 4.265534-6 2.074308+3 4.268141-6 2.188695+3 4.275962-6 2.559663+3 4.283185-6 2.937823+3 4.290907-6 3.376248+3 4.294247-6 3.575470+3 4.304270-6 4.199734+3 4.307894-6 4.432361+3 4.311353-6 4.656157+3 4.317448-6 5.051130+3 4.321401-6 5.305162+3 4.326694-6 5.638661+3 4.330712-6 5.884069+3 4.334644-6 6.115468+3 4.339805-6 6.402477+3 4.345196-6 6.677405+3 4.353029-6 7.021197+3 4.357641-6 7.187637+3 4.363819-6 7.363285+3 4.369231-6 7.469054+3 4.375308-6 7.530913+3 4.381179-6 7.531619+3 4.387217-6 7.471294+3 4.391822-6 7.384322+3 4.399811-6 7.153246+3 4.404830-6 6.959794+3 4.411276-6 6.662869+3 4.415539-6 6.440313+3 4.420099-6 6.182596+3 4.425220-6 5.873311+3 4.429497-6 5.602416+3 4.434996-6 5.242422+3 4.439741-6 4.925664+3 4.445425-6 4.544344+3 4.451865-6 4.117056+3 4.461255-6 3.518435+3 4.463725-6 3.367838+3 4.474268-6 2.766900+3 4.480033-6 2.470301+3 4.488764-6 2.067781+3 4.501041-6 1.597202+3 4.516891-6 1.141743+3 4.524723-6 9.710477+2 4.528617-6 8.976093+2 4.536373-6 7.710858+2 4.544069-6 6.680793+2 4.551704-6 5.842500+2 4.559280-6 5.158698+2 4.566797-6 4.598215+2 4.574255-6 4.135578+2 4.581654-6 3.750354+2 4.588996-6 3.426403+2 4.596281-6 3.151119+2 4.603509-6 2.914734+2 4.610680-6 2.709706+2 4.624910-6 2.370559+2 4.638918-6 2.102646+2 4.652707-6 1.885576+2 4.666281-6 1.706217+2 4.679642-6 1.555710+2 4.692795-6 1.427819+2 4.705742-6 1.317999+2 4.718487-6 1.222835+2 4.731033-6 1.139707+2 4.743382-6 1.066561+2 4.767696-6 9.431675+1 4.791250-6 8.443318+1 4.814068-6 7.636628+1 4.836172-6 6.968155+1 4.857586-6 6.407173+1 4.878331-6 5.931215+1 4.898427-6 5.523388+1 4.917896-6 5.170670+1 4.955616-6 4.583868+1 4.990978-6 4.125718+1 5.024131-6 3.760152+1 5.055211-6 3.463550+1 5.084349-6 3.219250+1 5.120000-6 2.956852+1 5.162885-6 2.683986+1 5.207701-6 2.439374+1 5.246916-6 2.253764+1 5.281229-6 2.109677+1 5.341276-6 1.890385+1 5.386311-6 1.748407+1 5.453864-6 1.564265+1 5.562188-6 1.322182+1 5.738862-6 1.024916+1 5.793223-6 9.495719+0 5.929600-6 7.772086+0 6.031882-6 6.546299+0 6.070238-6 6.081009+0 6.103800-6 5.660778+0 6.133166-6 5.276656+0 6.158862-6 4.922296+0 6.181345-6 4.593214+0 6.201018-6 4.286430+0 6.218232-6 4.000366+0 6.233295-6 3.734739+0 6.246474-6 3.490254+0 6.258006-6 3.268077+0 6.268097-6 3.069264+0 6.276926-6 2.894312+0 6.298171-6 2.491198+0 6.308311-6 2.324642+0 6.315916-6 2.220541+0 6.321619-6 2.158532+0 6.325897-6 2.123180+0 6.329105-6 2.103920+0 6.333918-6 2.088267+0 6.336324-6 2.087030+0 6.338730-6 2.090591+0 6.344747-6 2.122584+0 6.347756-6 2.152164+0 6.350764-6 2.191677+0 6.354209-6 2.249978+0 6.369934-6 2.721021+0 6.375981-6 3.005168+0 6.381271-6 3.306990+0 6.387714-6 3.746143+0 6.397876-6 4.608770+0 6.413933-6 6.418176+0 6.422552-6 7.615412+0 6.425315-6 8.031175+0 6.434130-6 9.454422+0 6.441079-6 1.067065+1 6.448115-6 1.197320+1 6.455008-6 1.330383+1 6.461814-6 1.465393+1 6.468349-6 1.596744+1 6.475162-6 1.733575+1 6.480580-6 1.841013+1 6.489436-6 2.011068+1 6.494750-6 2.108223+1 6.510352-6 2.362639+1 6.513155-6 2.402380+1 6.526929-6 2.565836+1 6.531957-6 2.611260+1 6.541556-6 2.675460+1 6.547163-6 2.699064+1 6.550363-6 2.707948+1 6.555962-6 2.715590+1 6.560161-6 2.714861+1 6.566461-6 2.703770+1 6.572760-6 2.681310+1 6.580561-6 2.639015+1 6.588362-6 2.582455+1 6.598486-6 2.491197+1 6.601861-6 2.457044+1 6.613388-6 2.329676+1 6.617230-6 2.284385+1 6.632133-6 2.101418+1 6.650770-6 1.870807+1 6.688878-6 1.458895+1 6.696789-6 1.388527+1 6.712610-6 1.264379+1 6.728432-6 1.160945+1 6.744253-6 1.075559+1 6.762428-6 9.956964+0 6.779468-6 9.346196+0 6.811417-6 8.450362+0 6.839372-6 7.837004+0 6.961678-6 5.831441+0 6.998369-6 5.259493+0 7.048585-6 4.514493+0 7.057249-6 4.408488+0 7.070723-6 4.269919+0 7.074577-6 4.237418+0 7.088127-6 4.153612+0 7.091905-6 4.139670+0 7.109233-6 4.136264+0 7.113565-6 4.152148+0 7.126561-6 4.242608+0 7.132634-6 4.307234+0 7.142597-6 4.443725+0 7.150734-6 4.582103+0 7.161414-6 4.797151+0 7.175145-6 5.120096+0 7.195872-6 5.669256+0 7.213200-6 6.137553+0 7.217532-6 6.250014+0 7.230528-6 6.565139+0 7.234860-6 6.660633+0 7.247856-6 6.910686+0 7.257197-6 7.051637+0 7.262527-6 7.116056+0 7.271855-6 7.199413+0 7.278851-6 7.236926+0 7.289345-6 7.253198+0 7.299839-6 7.223243+0 7.308503-6 7.166143+0 7.317167-6 7.082648+0 7.334495-6 6.849795+0 7.351823-6 6.554191+0 7.389055-6 5.850259+0 7.407153-6 5.536837+0 7.425251-6 5.272889+0 7.434300-6 5.163800+0 7.443349-6 5.071256+0 7.456298-6 4.968162+0 7.466010-6 4.913095+0 7.480578-6 4.863804+0 7.495146-6 4.849382+0 7.505444-6 4.856167+0 7.515742-6 4.873544+0 7.557766-6 4.987508+0 7.575248-6 5.024718+0 7.599267-6 5.043939+0 7.613679-6 5.035723+0 7.624331-6 5.020902+0 7.642429-6 4.982011+0 7.715728-6 4.770369+0 7.753249-6 4.687066+0 7.892491-6 4.458782+0 7.996253-6 4.270616+0 8.255754-6 3.806163+0 8.427270-6 3.550608+0 8.535282-6 3.392490+0 8.625542-6 3.249441+0 8.726301-6 3.081185+0 8.835231-6 2.894008+0 8.928662-6 2.731759+0 9.026548-6 2.562282+0 9.130532-6 2.384493+0 9.229998-6 2.217666+0 9.346758-6 2.026480+0 9.447796-6 1.861937+0 9.495734-6 1.781368+0 9.549926-6 1.686937+0 9.646616-6 1.510480+0 9.730272-6 1.351395+0 9.813515-6 1.187762+0 9.864835-6 1.084208+0 9.912948-6 9.852797-1 9.958054-6 8.910111-1 1.000034-5 8.014715-1 1.003998-5 7.167461-1 1.007715-5 6.369314-1 1.011199-5 5.621374-1 1.014495-5 4.918667-1 1.017528-5 4.281166-1 1.020399-5 3.691606-1 1.023091-5 3.157418-1 1.025614-5 2.679455-1 1.027980-5 2.257943-1 1.030198-5 1.892247-1 1.032277-5 1.580767-1 1.034226-5 1.321027-1 1.037767-5 9.443802-2 1.039373-5 8.213916-2 1.040878-5 7.388517-2 1.042290-5 6.955805-2 1.043613-5 6.914210-2 1.044854-5 7.271202-2 1.046017-5 8.040817-2 1.046562-5 8.576114-2 1.047091-5 9.217648-2 1.047602-5 9.967492-2 1.048098-5 1.082755-1 1.048578-5 1.179949-1 1.049043-5 1.288465-1 1.049931-5 1.539824-1 1.050763-5 1.837122-1 1.051561-5 2.187926-1 1.052933-5 2.974651-1 1.055050-5 4.783605-1 1.056531-5 6.625331-1 1.057370-5 7.936815-1 1.058132-5 9.322846-1 1.059382-5 1.206203+0 1.060339-5 1.460790+0 1.061120-5 1.701600+0 1.062146-5 2.067982+0 1.062805-5 2.336713+0 1.063464-5 2.633762+0 1.064609-5 3.223002+0 1.065720-5 3.891937+0 1.066965-5 4.767763+0 1.068100-5 5.693359+0 1.068761-5 6.291270+0 1.069400-5 6.913317+0 1.070358-5 7.929450+0 1.071317-5 9.048404+0 1.072337-5 1.035547+1 1.073522-5 1.202458+1 1.074139-5 1.295674+1 1.075063-5 1.443589+1 1.076151-5 1.629842+1 1.078616-5 2.095001+1 1.079628-5 2.300574+1 1.081443-5 2.684443+1 1.082461-5 2.905061+1 1.083676-5 3.169666+1 1.084732-5 3.398133+1 1.085734-5 3.611111+1 1.086706-5 3.812127+1 1.088331-5 4.130435+1 1.089640-5 4.365885+1 1.090966-5 4.581173+1 1.092333-5 4.775651+1 1.093812-5 4.951723+1 1.095195-5 5.083422+1 1.096328-5 5.167646+1 1.097953-5 5.253360+1 1.099239-5 5.294406+1 1.100865-5 5.317458+1 1.102825-5 5.311869+1 1.105938-5 5.258316+1 1.111917-5 5.133556+1 1.117355-5 5.043594+1 1.120314-5 4.966257+1 1.122722-5 4.865606+1 1.125070-5 4.724438+1 1.126915-5 4.580844+1 1.128456-5 4.439104+1 1.129942-5 4.284979+1 1.131778-5 4.073856+1 1.133120-5 3.907965+1 1.135133-5 3.646108+1 1.135803-5 3.556552+1 1.138487-5 3.194954+1 1.140633-5 2.910538+1 1.143854-5 2.509649+1 1.150068-5 1.874036+1 1.151376-5 1.766325+1 1.153910-5 1.582373+1 1.156286-5 1.437110+1 1.158513-5 1.321822+1 1.160732-5 1.224128+1 1.164516-5 1.089235+1 1.168232-5 9.860493+0 1.170940-5 9.241236+0 1.176185-5 8.265029+0 1.180120-5 7.671115+0 1.186021-5 6.931966+0 1.191922-5 6.322178+0 1.200724-5 5.575294+0 1.206591-5 5.153341+0 1.226724-5 3.979142+0 1.233935-5 3.618660+0 1.241301-5 3.263958+0 1.251640-5 2.763077+0 1.257639-5 2.454335+0 1.260638-5 2.291775+0 1.263638-5 2.123998+0 1.266637-5 1.953153+0 1.271137-5 1.701917+0 1.274861-5 1.516644+0 1.275495-5 1.488926+0 1.279930-5 1.343485+0 1.281137-5 1.322706+0 1.284275-5 1.317295+0 1.285059-5 1.328194+0 1.287413-5 1.393225+0 1.288491-5 1.439874+0 1.290550-5 1.558916+0 1.291459-5 1.623813+0 1.292495-5 1.706880+0 1.293856-5 1.829837+0 1.299375-5 2.462126+0 1.300383-5 2.594119+0 1.301983-5 2.809127+0 1.303916-5 3.072634+0 1.305949-5 3.347633+0 1.306632-5 3.438174+0 1.309378-5 3.786926+0 1.310998-5 3.977658+0 1.312544-5 4.147242+0 1.314367-5 4.330286+0 1.315739-5 4.455467+0 1.316975-5 4.559121+0 1.318830-5 4.698549+0 1.320685-5 4.819441+0 1.321863-5 4.887029+0 1.325397-5 5.049251+0 1.326652-5 5.092651+0 1.328534-5 5.143771+0 1.330416-5 5.177585+0 1.331820-5 5.190973+0 1.333975-5 5.190586+0 1.336228-5 5.161291+0 1.338287-5 5.107223+0 1.340415-5 5.023341+0 1.342542-5 4.911440+0 1.344488-5 4.786026+0 1.346435-5 4.641107+0 1.348394-5 4.478987+0 1.351178-5 4.228881+0 1.354795-5 3.890524+0 1.360846-5 3.369145+0 1.364397-5 3.127094+0 1.366500-5 3.012570+0 1.368507-5 2.923731+0 1.370514-5 2.854088+0 1.373031-5 2.791368+0 1.373870-5 2.775885+0 1.377244-5 2.736136+0 1.380617-5 2.723575+0 1.383023-5 2.725466+0 1.388437-5 2.748315+0 1.395501-5 2.800353+0 1.405293-5 2.895973+0 1.411076-5 2.941235+0 1.414002-5 2.953501+0 1.416772-5 2.956947+0 1.421443-5 2.945373+0 1.428488-5 2.899454+0 1.440104-5 2.814187+0 1.464736-5 2.678447+0 1.480781-5 2.596640+0 1.501825-5 2.518019+0 1.555247-5 2.356934+0 1.625429-5 2.170658+0 1.713181-5 1.983459+0 1.778279-5 1.869074+0 1.819701-5 1.809054+0 1.867056-5 1.754803+0 1.927525-5 1.708872+0 1.983747-5 1.683556+0 2.018366-5 1.680854+0 2.113489-5 1.713249+0 2.162719-5 1.753248+0 2.239464-5 1.855962+0 2.330000-5 2.022106+0 2.400000-5 2.198151+0 2.505164-5 2.519296+0 2.592382-5 2.849849+0 2.737910-5 3.519802+0 2.854283-5 4.180408+0 3.162278-5 6.444147+0 3.338469-5 8.063959+0 3.515866-5 9.906730+0 3.630781-5 1.121509+1 3.801894-5 1.330332+1 3.984261-5 1.567725+1 4.121295-5 1.754874+1 4.265795-5 1.959559+1 4.370206-5 2.108151+1 4.518559-5 2.323110+1 4.731513-5 2.629849+1 4.950247-5 2.936839+1 5.096529-5 3.134700+1 5.283903-5 3.379081+1 5.646243-5 3.827835+1 5.716822-5 3.942963+1 5.771681-5 4.059572+1 5.821032-5 4.194481+1 5.862553-5 4.339674+1 5.882194-5 4.422134+1 5.900608-5 4.509766+1 5.917871-5 4.602905+1 5.934055-5 4.701881+1 5.949228-5 4.807006+1 5.963452-5 4.918569+1 5.979071-5 5.058611+1 5.989289-5 5.162092+1 6.001009-5 5.294594+1 6.011997-5 5.434659+1 6.022298-5 5.582644+1 6.031956-5 5.738973+1 6.041009-5 5.904132+1 6.049497-5 6.078653+1 6.064915-5 6.457965+1 6.071909-5 6.663732+1 6.085022-5 7.125253+1 6.096496-5 7.634938+1 6.106536-5 8.189181+1 6.115321-5 8.780530+1 6.123008-5 9.398643+1 6.129734-5 1.003164+2 6.135619-5 1.066747+2 6.140769-5 1.129492+2 6.149780-5 1.257573+2 6.156539-5 1.371039+2 6.161608-5 1.467188+2 6.169212-5 1.631100+2 6.176816-5 1.821059+2 6.188218-5 2.160418+2 6.211023-5 3.061087+2 6.222426-5 3.629774+2 6.232620-5 4.203297+2 6.249345-5 5.259582+2 6.251254-5 5.387496+2 6.264615-5 6.309539+2 6.269863-5 6.678527+2 6.279884-5 7.378581+2 6.285951-5 7.791715+2 6.292442-5 8.217457+2 6.299731-5 8.667294+2 6.305819-5 9.013567+2 6.313647-5 9.410452+2 6.323149-5 9.805624+2 6.329607-5 1.001257+3 6.337768-5 1.019596+3 6.344285-5 1.027663+3 6.351191-5 1.029673+3 6.358631-5 1.024330+3 6.363373-5 1.016953+3 6.370737-5 9.996498+2 6.378008-5 9.760816+2 6.382014-5 9.605890+2 6.390614-5 9.221059+2 6.397417-5 8.874351+2 6.404895-5 8.461099+2 6.413668-5 7.948739+2 6.423648-5 7.353323+2 6.447845-5 6.011674+2 6.464508-5 5.293897+2 6.467461-5 5.190276+2 6.479203-5 4.854205+2 6.485711-5 4.720338+2 6.492262-5 4.622077+2 6.494344-5 4.598187+2 6.509851-5 4.520135+2 6.518403-5 4.540203+2 6.528515-5 4.604662+2 6.557120-5 4.874377+2 6.561445-5 4.909654+2 6.577205-5 4.992033+2 6.582284-5 4.999107+2 6.593699-5 4.974432+2 6.599744-5 4.937635+2 6.608383-5 4.856572+2 6.613937-5 4.787421+2 6.619491-5 4.705770+2 6.628140-5 4.556007+2 6.636479-5 4.389101+2 6.647139-5 4.150735+2 6.655019-5 3.961770+2 6.664869-5 3.716960+2 6.670779-5 3.568284+2 6.690479-5 3.082847+2 6.726263-5 2.333180+2 6.738183-5 2.136081+2 6.746096-5 2.020267+2 6.754235-5 1.913125+2 6.762247-5 1.818859+2 6.770134-5 1.736142+2 6.785661-5 1.599225+2 6.802938-5 1.480536+2 6.815275-5 1.412906+2 6.829391-5 1.349096+2 6.843067-5 1.298089+2 6.856315-5 1.256516+2 6.881983-5 1.191938+2 6.906046-5 1.144758+2 6.928606-5 1.108597+2 6.949756-5 1.079941+2 6.976423-5 1.049337+2 7.006761-5 1.020293+2 7.039291-5 9.943541+1 7.081188-5 9.668751+1 7.129408-5 9.412108+1 7.182076-5 9.181873+1 7.242411-5 8.958913+1 7.363328-5 8.587765+1 7.395460-5 8.528780+1 7.431866-5 8.521355+1 7.454016-5 8.560063+1 7.468518-5 8.605370+1 7.494211-5 8.722646+1 7.564461-5 9.169377+1 7.583294-5 9.279068+1 7.603313-5 9.376756+1 7.643047-5 9.512121+1 7.721389-5 9.711116+1 7.813234-5 1.007549+2 7.851516-5 1.020776+2 7.881300-5 1.028329+2 7.934822-5 1.037308+2 8.147974-5 1.064369+2 8.473835-5 1.097910+2 8.845916-5 1.128745+2 9.332543-5 1.165628+2 1.012782-4 1.227496+2 1.062638-4 1.263283+2 1.090185-4 1.278462+2 1.108425-4 1.281035+2 1.118455-4 1.280212+2 1.122267-4 1.282060+2 1.128000-4 1.291369+2 1.131219-4 1.301569+2 1.134697-4 1.317260+2 1.140629-4 1.353742+2 1.147332-4 1.400275+2 1.150552-4 1.419904+2 1.153763-4 1.435635+2 1.157661-4 1.448711+2 1.161536-4 1.455641+2 1.170434-4 1.458553+2 1.179882-4 1.460731+2 1.211511-4 1.492239+2 1.321139-4 1.611069+2 1.416172-4 1.703316+2 1.540000-4 1.811584+2 1.666767-4 1.911035+2 1.814471-4 2.013982+2 1.971386-4 2.106702+2 2.122634-4 2.178972+2 2.269942-4 2.236303+2 2.412682-4 2.282574+2 2.566678-4 2.322433+2 2.778178-4 2.364026+2 2.970009-4 2.391171+2 3.184359-4 2.411378+2 3.441033-4 2.423093+2 3.680059-4 2.423843+2 3.941574-4 2.416251+2 4.216965-4 2.399336+2 4.517925-4 2.369475+2 4.844773-4 2.325908+2 5.188966-4 2.269783+2 5.490257-4 2.210824+2 5.850426-4 2.126716+2 6.166518-4 2.038689+2 6.465841-4 1.940435+2 6.723025-4 1.841712+2 6.933239-4 1.748757+2 7.116784-4 1.656679+2 7.283561-4 1.561698+2 7.449571-4 1.453343+2 7.593968-4 1.344784+2 7.709285-4 1.245617+2 7.809064-4 1.148486+2 7.894748-4 1.054472+2 7.968942-4 9.630695+1 8.035261-4 8.716583+1 8.081961-4 8.023530+1 8.128027-4 7.357467+1 8.160673-4 6.970612+1 8.195538-4 6.733163+1 8.204004-4 6.714694+1 8.238364-4 6.844744+1 8.259844-4 7.121750+1 8.280664-4 7.553848+1 8.295389-4 7.961760+1 8.305980-4 8.308090+1 8.323125-4 8.960030+1 8.334723-4 9.461401+1 8.380348-4 1.179461+2 8.400824-4 1.293759+2 8.414299-4 1.368333+2 8.431690-4 1.460726+2 8.446163-4 1.532112+2 8.458109-4 1.586010+2 8.474078-4 1.649605+2 8.482728-4 1.679606+2 8.496158-4 1.719623+2 8.508376-4 1.748979+2 8.524871-4 1.778166+2 8.549310-4 1.801433+2 8.571476-4 1.806392+2 8.635003-4 1.794538+2 8.662501-4 1.802579+2 8.691096-4 1.825749+2 8.770233-4 1.917889+2 8.831644-4 1.975397+2 8.848947-4 1.994964+2 8.869576-4 2.024341+2 8.881750-4 2.045525+2 8.910634-4 2.108392+2 8.945046-4 2.204671+2 9.000000-4 2.385982+2 9.026800-4 2.475549+2 9.063886-4 2.591200+2 9.095569-4 2.678873+2 9.136561-4 2.775851+2 9.190100-4 2.877686+2 9.252306-4 2.969437+2 9.325974-4 3.054035+2 9.401691-4 3.123894+2 9.487745-4 3.188284+2 9.583234-4 3.243375+2 9.673265-4 3.277903+2 9.852680-4 3.307495+2 9.897601-4 3.328183+2 9.937152-4 3.361877+2 9.974493-4 3.409531+2 1.003314-3 3.512211+2 1.011406-3 3.677600+2 1.016041-3 3.764500+2 1.021300-3 3.846477+2 1.026433-3 3.909458+2 1.035142-3 3.989738+2 1.044582-3 4.058079+2 1.057956-3 4.139707+2 1.081553-3 4.254809+2 1.110761-3 4.363599+2 1.147061-3 4.466832+2 1.186441-3 4.555062+2 1.239209-3 4.643284+2 1.294852-3 4.706804+2 1.368982-3 4.762049+2 1.445050-3 4.791241+2 1.547639-3 4.780235+2 1.709071-3 4.718890+2 1.913049-3 4.598731+2 2.050863-3 4.505385+2 2.390379-3 4.256776+2 2.731641-3 3.997517+2 3.077190-3 3.745943+2 3.364075-3 3.547711+2 3.698645-3 3.328494+2 3.993983-3 3.145748+2 4.313194-3 2.958510+2 4.669542-3 2.762602+2 5.055335-3 2.565045+2 5.408443-3 2.395469+2 5.614024-3 2.302005+2 5.834530-3 2.204756+2 6.065836-3 2.106257+2 6.295968-3 2.011619+2 6.510149-3 1.925742+2 6.698089-3 1.851642+2 6.879294-3 1.781130+2 7.150550-3 1.675691+2 7.379766-3 1.584464+2 7.576499-3 1.501975+2 7.717428-3 1.437989+2 7.822232-3 1.385573+2 7.910463-3 1.335835+2 7.942387-3 1.315893+2 7.988064-3 1.284677+2 8.027244-3 1.254412+2 8.060601-3 1.225201+2 8.102195-3 1.183422+2 8.149093-3 1.129891+2 8.209570-3 1.061416+2 8.236952-3 1.037441+2 8.256459-3 1.025434+2 8.275393-3 1.018745+2 8.292859-3 1.017322+2 8.307942-3 1.019837+2 8.329466-3 1.029177+2 8.350064-3 1.043724+2 8.375486-3 1.067528+2 8.451158-3 1.153027+2 8.481378-3 1.184633+2 8.503078-3 1.204794+2 8.526162-3 1.223724+2 8.550500-3 1.240979+2 8.595117-3 1.266427+2 8.652614-3 1.290487+2 8.699990-3 1.305376+2 8.782475-3 1.324438+2 8.892233-3 1.340746+2 9.026221-3 1.351584+2 9.185557-3 1.356347+2 9.435204-3 1.352980+2 9.744285-3 1.337677+2 1.011579-2 1.310446+2 1.057956-2 1.269351+2 1.121577-2 1.207472+2 1.202414-2 1.128851+2 1.303167-2 1.037598+2 1.424821-2 9.387716+1 1.572906-2 8.350904+1 1.728565-2 7.430627+1 1.873174-2 6.701803+1 2.094433-2 5.768604+1 2.299950-2 5.056225+1 2.545657-2 4.351794+1 2.819110-2 3.713634+1 3.685399-2 2.413307+1 4.066592-2 2.050083+1 5.881025-2 1.095334+1 7.481573-2 7.206931+0 9.023995-2 5.166966+0 1.072459-1 3.781547+0 1.266421-1 2.779499+0 1.634698-1 1.717350+0 2.163315-1 1.005245+0 2.917427-1 5.635671-1 4.100639-1 2.894370-1 6.433730-1 1.188002-1 1.286622+0 2.988035-2 3.885536+0 3.282301-3 1.173413+1 3.599700-4 3.543651+1 3.947081-5 1.070165+2 4.327899-6 3.231848+2 4.745448-7 9.760024+2 5.203280-8 3.162278+3 4.956544-9 1.000000+4 4.95654-10 3.162278+4 4.95654-11 1.000000+5 4.95654-12 1 28000 7 7 5.871000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.807500-7 1.258900-6 1.554400-6 1.584900-6 2.463500-6 1.995300-6 3.904400-6 2.511900-6 6.188100-6 3.162300-6 9.807400-6 3.981100-6 1.554400-5 5.011900-6 2.463500-5 6.309600-6 3.904300-5 7.943300-6 6.187900-5 1.000000-5 9.807000-5 1.258900-5 1.554300-4 1.584900-5 2.463300-4 1.995300-5 3.904000-4 2.511900-5 6.187300-4 3.162300-5 9.804600-4 3.981100-5 1.553200-3 5.011900-5 2.460500-3 6.309600-5 3.898200-3 7.943300-5 6.175900-3 1.000000-4 9.775100-3 1.258900-4 1.547000-2 1.584900-4 2.444700-2 1.995300-4 3.859200-2 2.511900-4 6.075000-2 3.162300-4 9.530100-2 3.981100-4 1.486400-1 5.011900-4 2.297100-1 6.309600-4 3.502700-1 7.943300-4 5.236200-1 1.000000-3 7.620100-1 1.258900-3 1.073000+0 1.584900-3 1.455300+0 1.995300-3 1.908400+0 2.511900-3 2.446300+0 3.162300-3 3.095700+0 3.981100-3 3.879000+0 5.011900-3 4.803600+0 6.309600-3 5.846000+0 7.943300-3 6.994600+0 1.000000-2 8.197500+0 1.258900-2 9.378000+0 1.584900-2 1.046100+1 1.995300-2 1.141600+1 2.511900-2 1.223200+1 3.162300-2 1.286500+1 3.981100-2 1.328600+1 5.011900-2 1.348200+1 6.309600-2 1.347800+1 7.943300-2 1.328300+1 1.000000-1 1.293500+1 1.258900-1 1.243300+1 1.584900-1 1.181300+1 1.995300-1 1.111300+1 2.511900-1 1.036000+1 3.162300-1 9.582300+0 3.981100-1 8.802200+0 5.011900-1 8.035000+0 6.309600-1 7.291000+0 7.943300-1 6.577300+0 1.000000+0 5.897800+0 1.258900+0 5.256900+0 1.584900+0 4.656400+0 1.995300+0 4.098500+0 2.511900+0 3.584900+0 3.162300+0 3.116500+0 3.981100+0 2.693500+0 5.011900+0 2.315000+0 6.309600+0 1.979400+0 7.943300+0 1.684300+0 1.000000+1 1.426900+0 1.258900+1 1.204000+0 1.584900+1 1.012200+0 1.995300+1 8.481600-1 2.511900+1 7.085700-1 3.162300+1 5.903500-1 3.981100+1 4.906600-1 5.011900+1 4.069000-1 6.309600+1 3.367600-1 7.943300+1 2.782100-1 1.000000+2 2.294600-1 1.258900+2 1.889600-1 1.584900+2 1.554000-1 1.995300+2 1.276300-1 2.511900+2 1.047100-1 3.162300+2 8.580600-2 3.981100+2 7.024500-2 5.011900+2 5.745300-2 6.309600+2 4.694900-2 7.943300+2 3.833400-2 1.000000+3 3.127600-2 1.258900+3 2.549900-2 1.584900+3 2.077500-2 1.995300+3 1.691500-2 2.511900+3 1.376400-2 3.162300+3 1.119400-2 3.981100+3 9.098100-3 5.011900+3 7.391000-3 6.309600+3 6.001300-3 7.943300+3 4.870500-3 1.000000+4 3.951000-3 1.258900+4 3.203700-3 1.584900+4 2.596600-3 1.995300+4 2.103700-3 2.511900+4 1.703800-3 3.162300+4 1.379300-3 3.981100+4 1.116300-3 5.011900+4 9.030600-4 6.309600+4 7.303300-4 7.943300+4 5.904500-4 1.000000+5 4.772200-4 1 28000 7 7 5.871000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510163-4 3.162278-4 3.159550-4 3.981072-4 3.976758-4 5.011872-4 5.005059-4 6.309573-4 6.298832-4 7.943282-4 7.926389-4 1.000000-3 9.973474-4 1.258925-3 1.254790-3 1.584893-3 1.578450-3 1.995262-3 1.985251-3 2.511886-3 2.496311-3 3.162278-3 3.137917-3 3.981072-3 3.942810-3 5.011872-3 4.952044-3 6.309573-3 6.215967-3 7.943282-3 7.797709-3 1.000000-2 9.774084-3 1.258925-2 1.224047-2 1.584893-2 1.531312-2 1.995262-2 1.913191-2 2.511886-2 2.386428-2 3.162278-2 2.971292-2 3.981072-2 3.691784-2 5.011872-2 4.575764-2 6.309573-2 5.656159-2 7.943282-2 6.971971-2 1.000000-1 8.562633-2 1.258925-1 1.048291-1 1.584893-1 1.279174-1 1.995262-1 1.555586-1 2.511886-1 1.885264-1 3.162278-1 2.277125-1 3.981072-1 2.741236-1 5.011872-1 3.289546-1 6.309573-1 3.935507-1 7.943282-1 4.695936-1 1.000000+0 5.590968-1 1.258925+0 6.644463-1 1.584893+0 7.888030-1 1.995262+0 9.359190-1 2.511886+0 1.110445+0 3.162278+0 1.318177+0 3.981072+0 1.566069+0 5.011872+0 1.862824+0 6.309573+0 2.219000+0 7.943282+0 2.647504+0 1.000000+1 3.164082+0 1.258925+1 3.788099+0 1.584893+1 4.543225+0 1.995262+1 5.458372+0 2.511886+1 6.569138+0 3.162278+1 7.919089+0 3.981072+1 9.561541+0 5.011872+1 1.156230+1 6.309573+1 1.400186+1 7.943282+1 1.697953+1 1.000000+2 2.061690+1 1.258925+2 2.506417+1 1.584893+2 3.050579+1 1.995262+2 3.716900+1 2.511886+2 4.533415+1 3.162278+2 5.534669+1 3.981072+2 6.763104+1 5.011872+2 8.271447+1 6.309573+2 1.012439+2 7.943282+2 1.240196+2 1.000000+3 1.520276+2 1.258925+3 1.864907+2 1.584893+3 2.289215+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739832-9 3.981072-5 4.341863-9 5.011872-5 6.880997-9 6.309573-5 1.090529-8 7.943282-5 1.728277-8 1.000000-4 2.738280-8 1.258925-4 4.339045-8 1.584893-4 6.873272-8 1.995262-4 1.088682-7 2.511886-4 1.723761-7 3.162278-4 2.727941-7 3.981072-4 4.313983-7 5.011872-4 6.813289-7 6.309573-4 1.074174-6 7.943282-4 1.689310-6 1.000000-3 2.652606-6 1.258925-3 4.135400-6 1.584893-3 6.443327-6 1.995262-3 1.001124-5 2.511886-3 1.557571-5 3.162278-3 2.436051-5 3.981072-3 3.826177-5 5.011872-3 5.982811-5 6.309573-3 9.360646-5 7.943282-3 1.455730-4 1.000000-2 2.259162-4 1.258925-2 3.487858-4 1.584893-2 5.358146-4 1.995262-2 8.207084-4 2.511886-2 1.254583-3 3.162278-2 1.909855-3 3.981072-2 2.892874-3 5.011872-2 4.361085-3 6.309573-2 6.534148-3 7.943282-2 9.713115-3 1.000000-1 1.437367-2 1.258925-1 2.106349-2 1.584893-1 3.057188-2 1.995262-1 4.396760-2 2.511886-1 6.266226-2 3.162278-1 8.851525-2 3.981072-1 1.239835-1 5.011872-1 1.722327-1 6.309573-1 2.374067-1 7.943282-1 3.247346-1 1.000000+0 4.409032-1 1.258925+0 5.944792-1 1.584893+0 7.960902-1 1.995262+0 1.059343+0 2.511886+0 1.401442+0 3.162278+0 1.844101+0 3.981072+0 2.415003+0 5.011872+0 3.149048+0 6.309573+0 4.090573+0 7.943282+0 5.295779+0 1.000000+1 6.835918+0 1.258925+1 8.801155+0 1.584893+1 1.130571+1 1.995262+1 1.449425+1 2.511886+1 1.854973+1 3.162278+1 2.370369+1 3.981072+1 3.024918+1 5.011872+1 3.855642+1 6.309573+1 4.909387+1 7.943282+1 6.245329+1 1.000000+2 7.938310+1 1.258925+2 1.008284+2 1.584893+2 1.279835+2 1.995262+2 1.623572+2 2.511886+2 2.058545+2 3.162278+2 2.608811+2 3.981072+2 3.304761+2 5.011872+2 4.184728+2 6.309573+2 5.297135+2 7.943282+2 6.703087+2 1.000000+3 8.479724+2 1.258925+3 1.072435+3 1.584893+3 1.355972+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 8.090000-6 2.269579+6 8.413951-6 1.776706+6 8.709636-6 1.421950+6 9.015711-6 1.128344+6 9.280000-6 9.227740+5 9.549926-6 7.502071+5 9.772372-6 6.313501+5 1.000000-5 5.279380+5 1.023293-5 4.383428+5 1.042000-5 3.766140+5 1.060000-5 3.246500+5 1.077000-5 2.814840+5 1.096478-5 2.382017+5 1.115000-5 2.024600+5 1.127000-5 1.818046+5 1.142000-5 1.584824+5 1.157000-5 1.376814+5 1.172000-5 1.191546+5 1.188502-5 1.011431+5 1.202264-5 8.783326+4 1.218400-5 7.401635+4 1.230269-5 6.497244+4 1.245000-5 5.494680+4 1.255000-5 4.883980+4 1.265000-5 4.325360+4 1.275000-5 3.815500+4 1.285000-5 3.351260+4 1.295000-5 2.929600+4 1.305000-5 2.547780+4 1.315000-5 2.203180+4 1.325000-5 1.893364+4 1.333521-5 1.655083+4 1.342000-5 1.440100+4 1.350000-5 1.256344+4 1.357000-5 1.109974+4 1.365000-5 9.583220+3 1.372000-5 8.386340+3 1.380384-5 7.104139+3 1.387000-5 6.203120+3 1.395000-5 5.237240+3 1.402500-5 4.448533+3 1.425000-5 2.703420+3 1.430000-5 2.432080+3 1.435000-5 2.199940+3 1.438500-5 2.060000+3 1.442000-5 1.938140+3 1.446000-5 1.820396+3 1.448500-5 1.758194+3 1.452000-5 1.685476+3 1.455000-5 1.636198+3 1.457000-5 1.609900+3 1.460000-5 1.580096+3 1.463000-5 1.561643+3 1.466000-5 1.554284+3 1.466000-5 2.164228+6 1.468500-5 2.162188+6 1.471000-5 2.160160+6 1.473500-5 2.158144+6 1.476500-5 2.155742+6 1.480000-5 2.152962+6 1.483500-5 2.150206+6 1.487000-5 2.147473+6 1.491000-5 2.144378+6 1.492000-5 2.143610+6 1.492000-5 3.511292+6 1.496236-5 3.508322+6 1.503000-5 3.503646+6 1.513561-5 3.496498+6 1.515000-5 3.495538+6 1.526000-5 3.491212+6 1.535000-5 3.487779+6 1.542000-5 3.485171+6 1.550000-5 3.482255+6 1.557000-5 3.481759+6 1.565000-5 3.481235+6 1.573200-5 3.480741+6 1.580000-5 3.480364+6 1.590000-5 3.479859+6 1.600000-5 3.479409+6 1.603245-5 3.479268+6 1.610000-5 3.481072+6 1.621810-5 3.484242+6 1.635000-5 3.487821+6 1.645000-5 3.490556+6 1.659587-5 3.494573+6 1.660000-5 3.494801+6 1.675000-5 3.503004+6 1.690000-5 3.511205+6 1.705000-5 3.521819+6 1.717908-5 3.530921+6 1.720000-5 3.532898+6 1.737801-5 3.549630+6 1.750000-5 3.561033+6 1.757924-5 3.569837+6 1.778279-5 3.592317+6 1.800000-5 3.620837+6 1.819701-5 3.646579+6 1.822000-5 3.649909+6 1.850000-5 3.690227+6 1.873700-5 3.728786+6 1.883649-5 3.744890+6 1.905461-5 3.782676+6 1.927525-5 3.820711+6 1.935000-5 3.834860+6 1.950000-5 3.863131+6 1.965000-5 3.893024+6 2.000000-5 3.962554+6 2.018366-5 3.998904+6 2.041738-5 4.048795+6 2.070000-5 4.111984+6 2.113489-5 4.209163+6 2.150000-5 4.290647+6 2.162719-5 4.320742+6 2.213095-5 4.444223+6 2.270000-5 4.583982+6 2.317395-5 4.700565+6 2.330000-5 4.732341+6 2.350000-5 4.782667+6 2.400000-5 4.911716+6 2.483133-5 5.127081+6 2.570396-5 5.354381+6 2.660725-5 5.591028+6 2.770000-5 5.879206+6 2.851018-5 6.094154+6 2.884032-5 6.179266+6 2.900000-5 6.220404+6 3.019952-5 6.523585+6 3.090295-5 6.701992+6 3.162278-5 6.877174+6 3.311311-5 7.228923+6 3.333800-5 7.282030+6 3.388442-5 7.403603+6 3.507519-5 7.657342+6 3.570000-5 7.790172+6 3.630781-5 7.909705+6 3.730000-5 8.095033+6 3.801894-5 8.228657+6 3.850000-5 8.310238+6 3.981072-5 8.517838+6 4.027170-5 8.590296+6 4.073803-5 8.655741+6 4.265795-5 8.900800+6 4.300000-5 8.937927+6 4.500000-5 9.131972+6 4.518559-5 9.146857+6 4.570882-5 9.183395+6 4.731513-5 9.293584+6 4.900000-5 9.362330+6 5.000000-5 9.402091+6 5.248075-5 9.437877+6 5.308844-5 9.433080+6 5.500000-5 9.418052+6 5.559043-5 9.408661+6 5.754399-5 9.352328+6 5.821032-5 9.333534+6 5.900000-5 9.305567+6 6.165950-5 9.185154+6 6.237348-5 9.149390+6 6.531306-5 8.980266+6 6.683439-5 8.888067+6 6.760830-5 8.835710+6 7.000000-5 8.679252+6 7.161434-5 8.570344+6 7.328245-5 8.450211+6 7.500000-5 8.330894+6 7.673615-5 8.207871+6 7.821000-5 8.098538+6 7.821000-5 8.764294+6 7.910000-5 8.684983+6 8.000000-5 8.602555+6 8.035261-5 8.569358+6 8.048000-5 8.556977+6 8.048000-5 8.870737+6 8.110000-5 8.807318+6 8.128305-5 8.788381+6 8.200000-5 8.713268+6 8.230000-5 8.681712+6 8.300000-5 8.607850+6 8.413951-5 8.482840+6 8.570000-5 8.316831+6 8.609938-5 8.275335+6 8.709636-5 8.170805+6 8.730000-5 8.149844+6 8.912509-5 7.970249+6 9.015711-5 7.869773+6 9.070000-5 7.818338+6 9.150000-5 7.745283+6 9.190000-5 7.709581+6 9.225714-5 7.678674+6 9.300000-5 7.612936+6 9.350000-5 7.569757+6 9.450000-5 7.486913+6 9.500000-5 7.446598+6 9.549926-5 7.407717+6 9.580000-5 7.383154+6 9.650000-5 7.327158+6 9.720000-5 7.273195+6 9.800000-5 7.213109+6 9.850000-5 7.175336+6 9.950000-5 7.101728+6 1.000000-4 7.066191+6 1.011579-4 6.986152+6 1.015000-4 6.961831+6 1.030000-4 6.858248+6 1.047129-4 6.746876+6 1.050000-4 6.727992+6 1.059254-4 6.668893+6 1.060000-4 6.664178+6 1.080000-4 6.541482+6 1.100000-4 6.419299+6 1.109175-4 6.365410+6 1.120000-4 6.300702+6 1.128000-4 6.254233+6 1.150000-4 6.131479+6 1.174898-4 5.991517+6 1.186400-4 5.927516+6 1.186400-4 6.227094+6 1.188502-4 6.215383+6 1.220000-4 6.046452+6 1.240000-4 5.940177+6 1.244515-4 5.916632+6 1.280000-4 5.733904+6 1.303167-4 5.621811+6 1.330000-4 5.491836+6 1.333521-4 5.474829+6 1.364583-4 5.329619+6 1.380384-4 5.258449+6 1.396368-4 5.186051+6 1.421600-4 5.075984+6 1.428894-4 5.044799+6 1.450000-4 4.954980+6 1.480000-4 4.832931+6 1.500000-4 4.754339+6 1.513561-4 4.700765+6 1.531087-4 4.633066+6 1.540000-4 4.598765+6 1.580000-4 4.449478+6 1.605800-4 4.358184+6 1.620000-4 4.308874+6 1.621810-4 4.302492+6 1.650000-4 4.205717+6 1.659587-4 4.173563+6 1.678804-4 4.109456+6 1.720000-4 3.976683+6 1.737801-4 3.921655+6 1.757924-4 3.860980+6 1.778279-4 3.798574+6 1.800000-4 3.733085+6 1.840772-4 3.615246+6 1.883649-4 3.496631+6 1.905461-4 3.438761+6 1.927525-4 3.380769+6 1.950000-4 3.321671+6 1.980000-4 3.245408+6 2.018366-4 3.151988+6 2.080000-4 3.006904+6 2.089296-4 2.985806+6 2.137962-4 2.878509+6 2.187762-4 2.774531+6 2.213095-4 2.723101+6 2.220000-4 2.709287+6 2.264644-4 2.621738+6 2.290868-4 2.572046+6 2.350000-4 2.465706+6 2.400000-4 2.379847+6 2.426610-4 2.335707+6 2.500000-4 2.219758+6 2.540973-4 2.158965+6 2.660725-4 1.991795+6 2.691535-4 1.951726+6 2.786121-4 1.835461+6 2.800000-4 1.819339+6 2.818383-4 1.798017+6 2.851018-4 1.760942+6 2.900000-4 1.706941+6 3.000000-4 1.604248+6 3.019952-4 1.584876+6 3.054921-4 1.551714+6 3.100000-4 1.510091+6 3.126079-4 1.486492+6 3.200000-4 1.422305+6 3.280000-4 1.357491+6 3.311311-4 1.333134+6 3.430000-4 1.246746+6 3.467369-4 1.220882+6 3.507519-4 1.193885+6 3.548134-4 1.167558+6 3.715352-4 1.067337+6 3.758374-4 1.043739+6 3.801894-4 1.020392+6 3.850000-4 9.953130+5 4.027170-4 9.098860+5 4.073803-4 8.893571+5 4.168694-4 8.495307+5 4.200000-4 8.368281+5 4.216965-4 8.300053+5 4.415704-4 7.556775+5 4.518559-4 7.210447+5 4.623810-4 6.877009+5 4.677351-4 6.715822+5 4.700000-4 6.648948+5 4.786301-4 6.402549+5 4.954502-4 5.959120+5 5.069907-4 5.678445+5 5.128614-4 5.542901+5 5.248075-4 5.280491+5 5.308844-4 5.153573+5 5.432503-4 4.908755+5 5.623413-4 4.560617+5 5.688529-4 4.450132+5 5.888437-4 4.131775+5 6.095369-4 3.833842+5 6.237348-4 3.647308+5 6.309573-4 3.557063+5 6.382635-4 3.468913+5 6.456542-4 3.382688+5 6.760830-4 3.056221+5 6.839116-4 2.979968+5 6.918310-4 2.905295+5 7.000000-4 2.830915+5 7.079458-4 2.761091+5 7.500000-4 2.426340+5 7.852356-4 2.189407+5 7.943282-4 2.133011+5 8.035261-4 2.077952+5 8.128305-4 2.024171+5 8.222426-4 1.971848+5 8.609938-4 1.775221+5 8.670200-4 1.746976+5 8.670200-4 4.421912+5 8.671800-4 4.486471+5 8.675000-4 4.662135+5 8.678500-4 4.847090+5 8.682000-4 5.025596+5 8.686500-4 5.244451+5 8.690000-4 5.407789+5 8.695000-4 5.630250+5 8.700000-4 5.842255+5 8.705000-4 6.043328+5 8.712000-4 6.307175+5 8.718000-4 6.518484+5 8.725000-4 6.749107+5 8.733000-4 6.992726+5 8.743000-4 7.268496+5 8.751000-4 7.467741+5 8.762000-4 7.712816+5 8.774000-4 7.944987+5 8.785000-4 8.128266+5 8.800000-4 8.337003+5 8.810489-4 8.452931+5 8.815000-4 8.503415+5 8.830000-4 8.632855+5 8.849800-4 8.755398+5 8.849800-4 1.003070+6 8.850000-4 1.003589+6 8.851600-4 1.007381+6 8.855000-4 1.017751+6 8.858500-4 1.028061+6 8.862000-4 1.038043+6 8.866500-4 1.050464+6 8.870000-4 1.059712+6 8.873000-4 1.067335+6 8.875000-4 1.072113+6 8.880000-4 1.083272+6 8.885000-4 1.093893+6 8.890000-4 1.104065+6 8.897000-4 1.117569+6 8.900000-4 1.122884+6 8.905000-4 1.131101+6 8.912509-4 1.142277+6 8.913000-4 1.143025+6 8.922000-4 1.155247+6 8.930000-4 1.165142+6 8.940000-4 1.175076+6 8.950000-4 1.183784+6 8.960000-4 1.191326+6 8.965000-4 1.194439+6 8.973000-4 1.198794+6 8.989200-4 1.205278+6 9.000000-4 1.208346+6 9.015711-4 1.211254+6 9.026800-4 1.212043+6 9.035000-4 1.212439+6 9.058000-4 1.211008+6 9.082500-4 1.207256+6 9.115000-4 1.199812+6 9.150000-4 1.189849+6 9.200000-4 1.174189+6 9.225714-4 1.166802+6 9.240000-4 1.162725+6 9.500000-4 1.090151+6 9.660509-4 1.048494+6 9.700000-4 1.038596+6 9.772372-4 1.020183+6 9.885531-4 9.902879+5 1.000000-3 9.612682+5 1.006500-3 9.452979+5 1.006500-3 1.073189+6 1.030000-3 1.014171+6 1.035142-3 1.002059+6 1.059254-3 9.492326+5 1.083927-3 8.991859+5 1.109175-3 8.518166+5 1.110000-3 8.503302+5 1.122018-3 8.290097+5 1.135011-3 8.068155+5 1.174898-3 7.439865+5 1.190000-3 7.219199+5 1.216186-3 6.857980+5 1.244515-3 6.491121+5 1.258925-3 6.315174+5 1.333521-3 5.499712+5 1.350000-3 5.339998+5 1.364583-3 5.202408+5 1.396368-3 4.918747+5 1.400000-3 4.887739+5 1.412538-3 4.782053+5 1.428894-3 4.649037+5 1.462177-3 4.392917+5 1.479108-3 4.270264+5 1.513561-3 4.031767+5 1.531087-3 3.917557+5 1.570000-3 3.678433+5 1.584893-3 3.592359+5 1.603245-3 3.490196+5 1.621810-3 3.391008+5 1.698244-3 3.022363+5 1.701200-3 3.009264+5 1.717908-3 2.936250+5 1.737801-3 2.852516+5 1.778279-3 2.690751+5 1.800000-3 2.609234+5 1.819701-3 2.537807+5 1.840772-3 2.464444+5 1.862087-3 2.393253+5 1.883649-3 2.323868+5 1.905461-3 2.256544+5 1.927525-3 2.190453+5 2.000000-3 1.991471+5 2.018366-3 1.944933+5 2.065380-3 1.832472+5 2.089296-3 1.778772+5 2.162719-3 1.627180+5 2.213095-3 1.532905+5 2.238721-3 1.487890+5 2.290868-3 1.401084+5 2.300000-3 1.386615+5 2.344229-3 1.319069+5 2.371374-3 1.279893+5 2.400000-3 1.240308+5 2.426610-3 1.204848+5 2.511886-3 1.100274+5 2.600160-3 1.004260+5 2.660725-3 9.450521+4 2.691535-3 9.166960+4 2.754229-3 8.625823+4 2.786121-3 8.367473+4 2.800000-3 8.257703+4 2.917427-3 7.404427+4 2.951209-3 7.180073+4 3.000000-3 6.872410+4 3.019952-3 6.751413+4 3.054921-3 6.546448+4 3.126079-3 6.155520+4 3.300000-3 5.323279+4 3.349654-3 5.114601+4 3.388442-3 4.958299+4 3.427678-3 4.806914+4 3.467369-3 4.660282+4 3.507519-3 4.518253+4 3.548134-3 4.380102+4 3.801894-3 3.632281+4 3.845918-3 3.520997+4 3.890451-3 3.412404+4 3.935501-3 3.307255+4 3.981072-3 3.205440+4 4.027170-3 3.106850+4 4.073803-3 3.011301+4 4.315191-3 2.572938+4 4.415704-3 2.416441+4 4.466836-3 2.341440+4 4.518559-3 2.268837+4 4.570882-3 2.198488+4 4.623810-3 2.130328+4 4.897788-3 1.817809+4 5.011872-3 1.706346+4 5.069907-3 1.653276+4 5.188000-3 1.551605+4 5.248075-3 1.503173+4 5.308844-3 1.456254+4 5.370318-3 1.410472+4 5.559043-3 1.281418+4 5.754399-3 1.164439+4 5.821032-3 1.127935+4 5.888437-3 1.092607+4 6.095369-3 9.927277+3 6.165950-3 9.615344+3 6.237348-3 9.310916+3 6.309573-3 9.016363+3 6.382635-3 8.730574+3 6.683439-3 7.677068+3 6.760830-3 7.434570+3 6.839116-3 7.199943+3 7.079458-3 6.537685+3 7.161434-3 6.330925+3 7.244360-3 6.129138+3 7.328245-3 5.933939+3 7.413102-3 5.745052+3 7.673615-3 5.213349+3 7.852356-3 4.887019+3 8.035261-3 4.581644+3 8.222426-3 4.294614+3 8.302800-3 4.178840+3 8.302800-3 3.249153+4 8.317638-3 3.232315+4 8.413951-3 3.125712+4 8.420000-3 3.119175+4 8.470000-3 3.082921+4 8.511380-3 3.045295+4 8.709636-3 2.873675+4 8.810489-3 2.791524+4 8.850000-3 2.760235+4 9.120108-3 2.555102+4 9.332543-3 2.408416+4 9.440609-3 2.338278+4 9.549926-3 2.270157+4 9.660509-3 2.204021+4 9.772372-3 2.139742+4 1.000000-2 2.016778+4 1.011579-2 1.957988+4 1.023293-2 1.899015+4 1.109175-2 1.533131+4 1.122018-2 1.486970+4 1.135011-2 1.442138+4 1.161449-2 1.356505+4 1.174898-2 1.315622+4 1.188502-2 1.275977+4 1.202264-2 1.237528+4 1.303167-2 9.989986+3 1.318257-2 9.681165+3 1.333521-2 9.381528+3 1.380384-2 8.537223+3 1.412538-2 8.017089+3 1.531087-2 6.434219+3 1.548817-2 6.234971+3 1.566751-2 6.041894+3 1.603245-2 5.673529+3 1.621810-2 5.497869+3 1.659587-2 5.162744+3 1.678804-2 4.999507+3 1.778279-2 4.257622+3 1.819701-2 3.992441+3 1.862087-2 3.743717+3 1.883649-2 3.625238+3 1.905461-2 3.510513+3 1.927525-2 3.399428+3 1.949845-2 3.291864+3 2.018366-2 2.989219+3 2.065380-2 2.803085+3 2.089296-2 2.712888+3 2.137962-2 2.540936+3 2.187762-2 2.379876+3 2.213095-2 2.303207+3 2.238721-2 2.229012+3 2.344229-2 1.955408+3 2.426610-2 1.772522+3 2.454709-2 1.715449+3 2.483133-2 1.660157+3 2.540973-2 1.554859+3 2.630268-2 1.407271+3 2.660725-2 1.361260+3 2.917427-2 1.043413+3 3.019952-2 9.443119+2 3.054921-2 9.134145+2 3.090295-2 8.835274+2 3.162278-2 8.259585+2 3.198895-2 7.985986+2 3.273407-2 7.465696+2 3.311311-2 7.218392+2 3.467369-2 6.308514+2 3.589219-2 5.701646+2 3.801894-2 4.817143+2 3.910850-2 4.430178+2 3.935501-2 4.348444+2 4.120975-2 3.793712+2 4.168694-2 3.666460+2 4.315191-2 3.309417+2 4.570882-2 2.789921+2 4.731513-2 2.518268+2 5.069907-2 2.047290+2 5.188000-2 1.910636+2 5.432503-2 1.664066+2 5.559043-2 1.552991+2 5.623413-2 1.500267+2 5.956621-2 1.262328+2 6.237348-2 1.097997+2 6.382635-2 1.023975+2 6.606934-2 9.221863+1 6.760830-2 8.600157+1 7.079458-2 7.479726+1 7.413102-2 6.505345+1 7.762471-2 5.657962+1 7.852356-2 5.462344+1 8.128305-2 4.914722+1 8.511380-2 4.268966+1 8.709636-2 3.978661+1 9.332543-2 3.220960+1 9.549926-2 3.001959+1 9.660509-2 2.898111+1 1.011580-1 2.517429+1 1.023293-1 2.430353+1 1.035142-1 2.346287+1 1.047129-1 2.265090+1 1.071519-1 2.111034+1 1.122019-1 1.833648+1 1.161449-1 1.649812+1 1.174898-1 1.592729+1 1.230269-1 1.383482+1 1.288250-1 1.201733+1 1.303167-1 1.160158+1 1.333521-1 1.081278+1 1.380384-1 9.728994+0 1.396368-1 9.392461+0 1.445440-1 8.451116+0 1.462177-1 8.158805+0 1.500000-1 7.545959+0 1.531088-1 7.087216+0 1.621810-1 5.943524+0 1.640590-1 5.737973+0 1.659587-1 5.539538+0 1.678804-1 5.349725+0 1.698244-1 5.166413+0 1.717908-1 4.989413+0 1.778279-1 4.493966+0 1.840772-1 4.047737+0 1.862087-1 3.909197+0 1.883649-1 3.775398+0 1.905461-1 3.646178+0 2.041738-1 2.958645+0 2.065380-1 2.857391+0 2.089296-1 2.759602+0 2.162719-1 2.485877+0 2.213095-1 2.320771+0 2.238721-1 2.242391+0 2.264644-1 2.166658+0 2.290868-1 2.093572+0 2.317395-1 2.022954+0 2.344229-1 1.954721+0 2.426610-1 1.763535+0 2.454709-1 1.704056+0 2.483133-1 1.646585+0 2.540973-1 1.537391+0 2.600160-1 1.436902+0 2.630268-1 1.389165+0 2.660725-1 1.343013+0 2.691535-1 1.298453+0 2.722701-1 1.255373+0 2.754229-1 1.213721+0 2.818383-1 1.134520+0 2.884032-1 1.060487+0 2.917427-1 1.025305+0 2.951209-1 9.918133-1 2.985383-1 9.594145-1 3.019952-1 9.280751-1 3.054921-1 8.977664-1 3.090295-1 8.684480-1 3.126079-1 8.401325-1 3.198895-1 7.862412-1 3.235937-1 7.606076-1 3.273407-1 7.358114-1 3.311311-1 7.118237-1 3.427678-1 6.456032-1 3.467369-1 6.249335-1 3.507519-1 6.049261-1 3.589219-1 5.668814-1 3.715352-1 5.142555-1 3.758374-1 4.981377-1 3.801894-1 4.825252-1 3.845918-1 4.674021-1 3.890451-1 4.527584-1 3.935501-1 4.385734-1 3.981072-1 4.248593-1 4.027170-1 4.115748-1 4.120975-1 3.862387-1 4.168694-1 3.744150-1 4.216965-1 3.629541-1 4.315191-1 3.410741-1 4.365158-1 3.306375-1 4.415705-1 3.205402-1 4.518559-1 3.012626-1 4.570882-1 2.920635-1 4.677351-1 2.748936-1 4.731513-1 2.666910-1 4.786301-1 2.587333-1 4.841724-1 2.510157-1 4.897788-1 2.435451-1 4.954502-1 2.362975-1 5.069907-1 2.224431-1 5.128614-1 2.159897-1 5.188000-1 2.097236-1 5.308844-1 1.977314-1 5.370318-1 1.919975-1 5.432503-1 1.864428-1 5.495409-1 1.810489-1 5.559043-1 1.758112-1 5.623413-1 1.707251-1 5.688529-1 1.659145-1 5.754399-1 1.612394-1 5.821032-1 1.566964-1 5.888437-1 1.522831-1 5.956621-1 1.480045-1 6.000000-1 1.453699-1 6.025596-1 1.438462-1 6.165950-1 1.358771-1 6.237348-1 1.321633-1 6.382635-1 1.250381-1 6.456542-1 1.216223-1 6.531306-1 1.183086-1 6.606935-1 1.150853-1 6.760830-1 1.089001-1 6.839117-1 1.060225-1 6.998420-1 1.004934-1 7.079458-1 9.783908-2 7.085700-1 9.763880-2 7.244360-1 9.275517-2 7.328245-1 9.031361-2 7.498942-1 8.576587-2 7.673615-1 8.144716-2 7.762471-1 7.937102-2 7.943282-1 7.538724-2 8.035261-1 7.347115-2 8.413951-1 6.648365-2 8.511380-1 6.484324-2 8.609938-1 6.324404-2 8.912509-1 5.869011-2 9.015711-1 5.724633-2 9.120108-1 5.587580-2 9.225714-1 5.453820-2 9.332543-1 5.323326-2 9.549926-1 5.071631-2 9.660509-1 4.950731-2 9.772372-1 4.832724-2 1.000000+0 4.613878-2 1.011579+0 4.508255-2 1.023293+0 4.405042-2 1.035142+0 4.304213-2 1.059254+0 4.109843-2 1.071519+0 4.015980-2 1.083927+0 3.924256-2 1.096478+0 3.834631-2 1.109175+0 3.747055-2 1.122018+0 3.661486-2 1.148154+0 3.501542-2 1.161449+0 3.424247-2 1.174898+0 3.348954-2 1.216186+0 3.132887-2 1.244515+0 3.001393-2 1.258925+0 2.937735-2 1.273503+0 2.875422-2 1.288250+0 2.814635-2 1.303167+0 2.755137-2 1.348963+0 2.584081-2 1.364583+0 2.529460-2 1.380384+0 2.477537-2 1.412538+0 2.376865-2 1.428894+0 2.328103-2 1.513561+0 2.099560-2 1.566751+0 1.977678-2 1.584893+0 1.938664-2 1.621810+0 1.863173-2 1.640590+0 1.826537-2 1.659587+0 1.790623-2 1.678804+0 1.755416-2 1.698244+0 1.720900-2 1.757924+0 1.624675-2 1.778279+0 1.593828-2 1.798871+0 1.563663-2 1.819701+0 1.534070-2 1.862087+0 1.476555-2 1.883649+0 1.448612-2 1.905461+0 1.421198-2 1.972423+0 1.344672-2 2.000000+0 1.315098-2 2.044000+0 1.270192-2 2.089296+0 1.226513-2 2.113489+0 1.204176-2 2.137962+0 1.182246-2 2.162719+0 1.160717-2 2.238721+0 1.100514-2 2.264644+0 1.081159-2 2.317395+0 1.043579-2 2.371374+0 1.007305-2 2.398833+0 9.896454-3 2.426610+0 9.722950-3 2.454709+0 9.552498-3 2.540973+0 9.075087-3 2.570396+0 8.921391-3 2.630268+0 8.622694-3 2.691535+0 8.333999-3 2.722701+0 8.193305-3 2.786121+0 7.919000-3 2.818383+0 7.785320-3 2.917427+0 7.410101-3 2.951209+0 7.289151-3 3.019952+0 7.053863-3 3.090295+0 6.826176-3 3.126079+0 6.715107-3 3.198895+0 6.498363-3 3.235937+0 6.392634-3 3.349654+0 6.095198-3 3.388442+0 5.999160-3 3.427678+0 5.904963-3 3.507519+0 5.720982-3 3.589219+0 5.542735-3 3.630781+0 5.455708-3 3.715352+0 5.285735-3 3.758374+0 5.202750-3 3.890451+0 4.968912-3 3.935501+0 4.893326-3 4.000000+0 4.788903-3 4.120975+0 4.603260-3 4.216965+0 4.464741-3 4.265795+0 4.397055-3 4.365158+0 4.264748-3 4.415704+0 4.200099-3 4.570882+0 4.017521-3 4.623810+0 3.958445-3 4.731513+0 3.843262-3 4.897788+0 3.676744-3 5.011872+0 3.569760-3 5.069907+0 3.517443-3 5.188000+0 3.415100-3 5.248075+0 3.365053-3 5.495409+0 3.177524-3 5.559043+0 3.132299-3 5.688529+0 3.044054-3 5.888437+0 2.916324-3 6.025596+0 2.834164-3 6.095369+0 2.793958-3 6.237348+0 2.715249-3 6.309573+0 2.676732-3 6.606934+0 2.532171-3 6.683439+0 2.497268-3 6.918310+0 2.395722-3 7.161434+0 2.298304-3 7.328245+0 2.235571-3 7.498942+0 2.174552-3 7.673615+0 2.115198-3 7.762471+0 2.086134-3 8.128305+0 1.976857-3 8.222427+0 1.950445-3 8.511380+0 1.873526-3 8.810489+0 1.799640-3 9.120108+0 1.728669-3 9.332543+0 1.682918-3 9.660509+0 1.616552-3 9.885531+0 1.573771-3 1.035142+1 1.493632-3 1.047129+1 1.474243-3 1.071519+1 1.436325-3 1.109175+1 1.381266-3 1.135011+1 1.345739-3 1.161449+1 1.311126-3 1.216186+1 1.244550-3 1.303167+1 1.150972-3 1.364583+1 1.094032-3 1.380384+1 1.080243-3 1.400000+1 1.063624-3 1.412538+1 1.053255-3 1.428894+1 1.040016-3 1.500000+1 9.859766-4 1.757924+1 8.282438-4 1.840772+1 7.881716-4 1.862087+1 7.784604-4 1.883649+1 7.688890-4 1.905461+1 7.594352-4 1.927525+1 7.500981-4 2.041738+1 7.051066-4 2.454709+1 5.784898-4 2.570396+1 5.510737-4 2.600160+1 5.444252-4 2.630268+1 5.378700-4 2.660725+1 5.313937-4 2.722701+1 5.186745-4 2.851018+1 4.941420-4 3.715352+1 3.739885-4 3.890451+1 3.565817-4 3.935501+1 3.523580-4 3.981072+1 3.481854-4 4.027170+1 3.440685-4 4.120975+1 3.359802-4 4.265795+1 3.242029-4 6.382635+1 2.138095-4 6.839116+1 1.992639-4 6.918310+1 1.969377-4 6.998420+1 1.946391-4 7.161434+1 1.901274-4 7.328245+1 1.857203-4 1.202264+2 1.121704-4 1.273503+2 1.058339-4 1.303167+2 1.034007-4 1.318257+2 1.022052-4 1.333521+2 1.010245-4 1.364583+2 9.870373-5 2.398833+2 5.585417-5 2.540973+2 5.271717-5 2.600160+2 5.151227-5 2.630268+2 5.092024-5 2.660725+2 5.033527-5 2.722701+2 4.918541-5 9.549926+2 1.395958-5 1.011579+3 1.317820-5 1.035142+3 1.287803-5 1.047129+3 1.273052-5 1.059254+3 1.258475-5 1.083927+3 1.229819-5 1.000000+5 1.330992-7 1 28000 7 0 5.871000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 8.090000-6 8.090000-6 1.466000-5 8.090000-6 1.466000-5 1.465528-5 1.492000-5 1.465411-5 1.492000-5 1.475768-5 2.213095-5 1.464441-5 7.673615-5 1.470281-5 7.821000-5 1.470322-5 7.821000-5 1.578985-5 8.048000-5 1.574131-5 8.048000-5 1.621661-5 9.015711-5 1.585649-5 9.580000-5 1.576075-5 1.015000-4 1.577693-5 1.100000-4 1.593904-5 1.186400-4 1.618726-5 1.186400-4 1.736067-5 1.678804-4 1.930726-5 1.905461-4 2.007784-5 2.220000-4 2.099010-5 2.540973-4 2.181007-5 2.900000-4 2.259511-5 3.311311-4 2.336131-5 3.850000-4 2.421140-5 4.518559-4 2.507864-5 5.308844-4 2.590159-5 6.309573-4 2.672714-5 7.500000-4 2.749521-5 8.670200-4 2.809372-5 8.670200-4 3.928807-5 8.682000-4 4.018821-5 8.695000-4 4.089814-5 8.712000-4 4.153489-5 8.733000-4 4.205888-5 8.762000-4 4.251685-5 8.810489-4 4.292545-5 8.849800-4 4.309183-5 8.849800-4 4.359812-5 8.900000-4 4.400206-5 8.989200-4 4.427856-5 9.240000-4 4.437048-5 1.006500-3 4.439316-5 1.006500-3 4.742814-5 1.603245-3 4.898538-5 2.400000-3 5.060750-5 3.388442-3 5.215698-5 4.623810-3 5.366315-5 6.165950-3 5.509716-5 8.035261-3 5.639892-5 8.302800-3 5.656291-5 8.302800-3 7.411272-5 1.412538-2 7.466781-5 2.660725-2 7.505325-5 7.413102-2 7.534737-5 6.760830-1 7.549124-5 1.000000+5 7.550042-5 1 28000 7 7 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.090000-6 0.0 7.821000-5 0.0 7.821000-5 1.22596-10 7.910000-5 1.20932-10 8.000000-5 1.18598-10 8.048000-5 1.17054-10 8.048000-5 1.73553-10 8.128305-5 1.70706-10 8.230000-5 1.66336-10 8.609938-5 1.48285-10 8.730000-5 1.42854-10 8.912509-5 1.35538-10 9.070000-5 1.30324-10 9.190000-5 1.27053-10 9.350000-5 1.23721-10 9.500000-5 1.21586-10 9.650000-5 1.20442-10 9.800000-5 1.20164-10 9.950000-5 1.20740-10 1.015000-4 1.22594-10 1.030000-4 1.24728-10 1.050000-4 1.28430-10 1.080000-4 1.35434-10 1.109175-4 1.43745-10 1.128000-4 1.49533-10 1.150000-4 1.56749-10 1.186400-4 1.69486-10 1.186400-4 2.41809-10 1.244515-4 2.65008-10 1.333521-4 3.02348-10 1.480000-4 3.64986-10 1.605800-4 4.16630-10 1.720000-4 4.60502-10 1.840772-4 5.03462-10 1.980000-4 5.48372-10 2.137962-4 5.95833-10 2.290868-4 6.38818-10 2.500000-4 6.93256-10 2.691535-4 7.38759-10 2.900000-4 7.83251-10 3.100000-4 8.22068-10 3.311311-4 8.60548-10 3.548134-4 8.99919-10 3.850000-4 9.45548-10 4.200000-4 9.92372-10 4.518559-4 1.030379-9 4.954502-4 1.075929-9 5.432503-4 1.119718-9 6.095369-4 1.171013-9 6.839116-4 1.218256-9 7.500000-4 1.253548-9 8.222426-4 1.286306-9 8.670200-4 1.303979-9 8.670200-4 3.737515-6 8.671800-4 3.773647-6 8.675000-4 3.866186-6 8.678500-4 3.956445-6 8.682000-4 4.037323-6 8.686500-4 4.129080-6 8.695000-4 4.273734-6 8.705000-4 4.408547-6 8.712000-4 4.485678-6 8.725000-4 4.601872-6 8.733000-4 4.659967-6 8.751000-4 4.763205-6 8.774000-4 4.856153-6 8.800000-4 4.926812-6 8.830000-4 4.979084-6 8.849800-4 5.001927-6 8.849800-4 5.157047-6 8.880000-4 5.242896-6 8.913000-4 5.301541-6 8.965000-4 5.352625-6 9.035000-4 5.380746-6 9.240000-4 5.389226-6 1.006500-3 5.382734-6 1.006500-3 5.495297-6 2.065380-3 5.499874-6 7.328245-3 5.477211-6 8.302800-3 5.476223-6 8.302800-3 2.719170-3 1.023293-2 2.740497-3 1.412538-2 2.762256-3 2.187762-2 2.781337-3 3.935501-2 2.794281-3 1.303167-1 2.801361-3 1.000000+5 2.802912-3 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.090000-6 0.0 1.466000-5 6.570000-6 1.466000-5 4.718377-9 1.473500-5 7.981868-8 1.492000-5 2.658898-7 1.492000-5 1.623232-7 1.526000-5 5.043735-7 1.590000-5 1.153204-6 1.965000-5 4.980052-6 2.350000-5 8.861356-6 7.821000-5 6.350678-5 7.821000-5 6.242003-5 8.048000-5 6.473857-5 8.048000-5 6.426322-5 9.580000-5 8.003913-5 1.150000-4 9.892372-5 1.186400-4 1.024526-4 1.186400-4 1.012791-4 2.018366-4 1.814141-4 3.430000-4 3.194436-4 7.079458-4 6.807004-4 8.670200-4 8.389250-4 8.670200-4 8.239944-4 8.743000-4 8.273350-4 9.026800-4 8.529784-4 1.006500-3 9.567241-4 1.006500-3 9.535766-4 8.302800-3 8.240761-3 8.302800-3 5.509518-3 1.412538-2 1.128846-2 3.126079-1 3.097305-1 1.000000+5 1.000000+5 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 8.302800-3 2.831269+4 8.420000-3 2.717538+4 8.470000-3 2.687960+4 8.850000-3 2.411380+4 1.011579-2 1.719064+4 1.303167-2 8.829615+3 1.659587-2 4.584842+3 2.065380-2 2.497046+3 2.540973-2 1.388224+3 3.090295-2 7.901066+2 3.801894-2 4.313333+2 4.731513-2 2.257074+2 5.956621-2 1.132188+2 7.762471-2 5.077160+1 1.659587-1 4.973374+0 2.162719-1 2.232009+0 2.540973-1 1.380334+0 2.917427-1 9.205466-1 3.311311-1 6.390953-1 3.715352-1 4.617134-1 4.120975-1 3.467802-1 4.570882-1 2.622301-1 5.069907-1 1.997250-1 5.623413-1 1.532959-1 6.165950-1 1.220087-1 6.760830-1 9.778840-2 7.328245-1 8.110342-2 8.035261-1 6.598333-2 9.015711-1 5.141713-2 9.772372-1 4.340764-2 1.122018+0 3.288741-2 1.216186+0 2.813952-2 1.364583+0 2.271989-2 1.513561+0 1.885813-2 1.698244+0 1.545706-2 1.905461+0 1.276517-2 2.162719+0 1.042547-2 2.454709+0 8.580005-3 2.818383+0 6.992748-3 3.235937+0 5.741893-3 3.758374+0 4.673141-3 4.415704+0 3.772559-3 5.248075+0 3.022478-3 6.309573+0 2.404253-3 7.762471+0 1.873772-3 9.885531+0 1.413575-3 1.303167+1 1.033792-3 1.757924+1 7.439455-4 2.454709+1 5.196131-4 3.715352+1 3.359254-4 6.382635+1 1.920481-4 1.202264+2 1.007551-4 2.398833+2 5.017125-5 9.549926+2 1.253941-5 1.000000+5 1.195600-7 1 28000 7 0 5.871000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 8.302800-3 7.670300-5 1.000000+5 7.670300-5 1 28000 7 7 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.302800-3 3.119700-3 1.000000+5 3.119700-3 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.302800-3 5.106397-3 1.000000+5 1.000000+5 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.006500-3 1.278908+5 1.135011-3 1.071809+5 1.174898-3 1.020358+5 1.364583-3 8.120835+4 1.428894-3 7.551269+4 1.701200-3 5.653500+4 1.862087-3 4.827457+4 2.162719-3 3.684706+4 2.400000-3 3.030860+4 2.786121-3 2.270455+4 3.126079-3 1.802916+4 3.548134-3 1.390306+4 4.073803-3 1.038387+4 4.623810-3 7.893135+3 5.308844-3 5.809580+3 6.165950-3 4.133102+3 7.161434-3 2.915913+3 8.317638-3 2.040724+3 9.660509-3 1.417172+3 1.122018-2 9.768155+2 1.318257-2 6.489911+2 1.531087-2 4.406960+2 1.778279-2 2.972048+2 2.089296-2 1.930174+2 2.454709-2 1.244410+2 2.917427-2 7.715186+1 3.467369-2 4.748575+1 4.168694-2 2.806910+1 5.069907-2 1.592836+1 6.237348-2 8.671301+0 7.852356-2 4.375961+0 1.035142-1 1.908992+0 1.840772-1 3.358472-1 2.264644-1 1.808420-1 2.660725-1 1.125558-1 3.090295-1 7.297968-2 3.507519-1 5.094050-2 3.935501-1 3.699397-2 4.365158-1 2.792234-2 4.841724-1 2.121762-2 5.370318-1 1.624058-2 5.888437-1 1.288964-2 6.456542-1 1.029816-2 7.085700-1 8.269284-3 7.762471-1 6.724767-3 8.609938-1 5.358970-3 9.549926-1 4.297904-3 1.035142+0 3.646667-3 1.161449+0 2.901308-3 1.273503+0 2.436520-3 1.428894+0 1.972756-3 1.584893+0 1.642473-3 1.778279+0 1.350351-3 2.000000+0 1.114199-3 2.264644+0 9.161870-4 2.570396+0 7.559755-4 2.951209+0 6.176677-4 3.388442+0 5.083431-4 3.935501+0 4.146540-4 4.623810+0 3.354506-4 5.559043+0 2.654184-4 6.683439+0 2.116119-4 8.222427+0 1.652800-4 1.047129+1 1.249270-4 1.380384+1 9.155533-5 1.862087+1 6.597829-5 2.600160+1 4.614400-5 3.981072+1 2.951019-5 6.998420+1 1.649690-5 1.318257+2 8.664950-6 2.630268+2 4.316945-6 1.047129+3 1.079325-6 1.000000+5 1.128600-8 1 28000 7 0 5.871000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.006500-3 6.986100-5 1.000000+5 6.986100-5 1 28000 7 7 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.006500-3 6.327300-6 1.000000+5 6.327300-6 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.006500-3 9.303117-4 1.000000+5 1.000000+5 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 8.849800-4 1.275300+5 8.851600-4 1.311200+5 8.855000-4 1.402200+5 8.858500-4 1.492200+5 8.862000-4 1.578900+5 8.866500-4 1.686200+5 8.870000-4 1.765500+5 8.875000-4 1.875000+5 8.880000-4 1.978600+5 8.885000-4 2.076800+5 8.890000-4 2.170500+5 8.897000-4 2.294300+5 8.905000-4 2.425400+5 8.913000-4 2.545600+5 8.922000-4 2.668900+5 8.930000-4 2.768800+5 8.940000-4 2.881800+5 8.950000-4 2.982500+5 8.960000-4 3.071500+5 8.973000-4 3.171000+5 8.989200-4 3.272200+5 9.000000-4 3.327000+5 9.015711-4 3.391000+5 9.035000-4 3.447600+5 9.058000-4 3.489600+5 9.082500-4 3.511500+5 9.115000-4 3.515000+5 9.150000-4 3.498200+5 9.240000-4 3.426288+5 9.700000-4 3.059789+5 1.030000-3 2.616900+5 1.110000-3 2.176000+5 1.258925-3 1.588800+5 1.400000-3 1.209000+5 1.531087-3 9.540500+4 1.800000-3 6.149000+4 2.000000-3 4.582300+4 2.300000-3 3.081100+4 2.660725-3 2.017300+4 3.000000-3 1.414800+4 3.507519-3 8.836500+3 4.073803-3 5.580500+3 4.623810-3 3.758900+3 5.370318-3 2.339200+3 6.309573-3 1.391600+3 7.413102-3 8.209800+2 8.709636-3 4.805500+2 1.023293-2 2.791700+2 1.202264-2 1.610000+2 1.412538-2 9.219700+1 1.678804-2 5.036400+1 2.018366-2 2.622200+1 2.483133-2 1.247600+1 3.054921-2 5.891800+0 3.935501-2 2.336300+0 8.511380-2 1.366557-1 1.071519-1 5.892426-2 1.303167-1 2.903999-2 1.531088-1 1.632983-2 1.778279-1 9.636731-3 2.041738-1 5.963588-3 2.317395-1 3.869575-3 2.600160-1 2.630169-3 2.917427-1 1.801379-3 3.235937-1 1.290134-3 3.589219-1 9.306135-4 3.981072-1 6.761160-4 4.415705-1 4.948623-4 4.897788-1 3.649301-4 5.432503-1 2.712511-4 6.000000-1 2.056713-4 6.606935-1 1.583971-4 7.244360-1 1.243019-4 7.943282-1 9.827335-5 8.609938-1 8.022802-5 9.120108-1 6.978026-5 9.660509-1 6.106059-5 1.023293+0 5.381450-5 1.096478+0 4.658496-5 1.174898+0 4.062753-5 1.273503+0 3.497242-5 1.412538+0 2.905178-5 1.659587+0 2.196870-5 1.862087+0 1.810745-5 2.089296+0 1.503275-5 2.371374+0 1.234621-5 2.691535+0 1.021346-5 3.090295+0 8.366745-6 3.589219+0 6.793546-6 4.216965+0 5.472447-6 5.011872+0 4.375655-6 6.025596+0 3.473929-6 7.328245+0 2.740079-6 9.120108+0 2.118637-6 1.135011+1 1.649348-6 1.412538+1 1.291122-6 1.905461+1 9.309323-7 2.660725+1 6.514170-7 4.027170+1 4.218045-7 6.998420+1 2.386331-7 1.318257+2 1.253367-7 2.630268+2 6.244632-8 1.047129+3 1.561354-8 1.000000+5 1.63260-10 1 28000 7 0 5.871000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 8.849800-4 4.707400-5 1.000000+5 4.707400-5 1 28000 7 7 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 8.849800-4 6.222000-6 1.000000+5 6.222000-6 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 8.849800-4 8.316840-4 1.000000+5 1.000000+5 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 8.670200-4 2.674936+5 8.671800-4 2.740236+5 8.675000-4 2.917380+5 8.678500-4 3.103952+5 8.682000-4 3.284072+5 8.686500-4 3.505000+5 8.690000-4 3.669948+5 8.695000-4 3.894704+5 8.700000-4 4.109000+5 8.705000-4 4.312360+5 8.712000-4 4.579400+5 8.718000-4 4.793440+5 8.725000-4 5.027240+5 8.733000-4 5.274480+5 8.743000-4 5.554760+5 8.751000-4 5.757600+5 8.762000-4 6.007600+5 8.774000-4 6.245120+5 8.785000-4 6.433280+5 8.800000-4 6.648640+5 8.815000-4 6.821640+5 8.830000-4 6.957640+5 8.850000-4 7.090120+5 8.873000-4 7.186320+5 8.900000-4 7.241120+5 8.930000-4 7.250200+5 8.965000-4 7.217200+5 9.026800-4 7.104594+5 9.200000-4 6.759916+5 9.772372-4 5.876030+5 1.035142-3 5.050593+5 1.216186-3 3.368198+5 1.350000-3 2.572976+5 1.479108-3 2.020508+5 1.737801-3 1.301418+5 1.905461-3 1.006938+5 2.238721-3 6.356630+4 2.511886-3 4.545621+4 2.917427-3 2.916331+4 3.349654-3 1.920457+4 3.845918-3 1.255547+4 4.415704-3 8.149604+3 5.069907-3 5.252874+3 5.888437-3 3.239464+3 6.839116-3 1.982725+3 8.035261-3 1.159254+3 9.440609-3 6.723507+2 1.109175-2 3.869352+2 1.303167-2 2.209941+2 1.531087-2 1.253126+2 1.819701-2 6.770132+1 2.187762-2 3.482835+1 2.660725-2 1.704595+1 3.273407-2 7.935864+0 4.120975-2 3.366531+0 5.559043-2 1.094410+0 9.332543-2 1.554523-1 1.161449-1 6.861875-2 1.380384-1 3.623880-2 1.621810-1 2.011974-2 1.840772-1 1.275374-2 2.089296-1 8.143597-3 2.344229-1 5.455728-3 2.600160-1 3.829779-3 2.884032-1 2.707307-3 3.198895-1 1.928379-3 3.507519-1 1.436298-3 3.845918-1 1.077467-3 4.168694-1 8.432239-4 4.518559-1 6.640401-4 4.897788-1 5.262725-4 5.308844-1 4.199383-4 5.754399-1 3.373647-4 6.237348-1 2.728526-4 6.760830-1 2.222220-4 7.328245-1 1.822201-4 7.943282-1 1.503776-4 8.912509-1 1.153542-4 9.549926-1 9.902358-5 1.023293+0 8.563381-5 1.122018+0 7.108714-5 1.216186+0 6.080816-5 1.348963+0 5.018945-5 1.513561+0 4.089589-5 1.698244+0 3.352882-5 1.905461+0 2.768316-5 2.137962+0 2.302041-5 2.426610+0 1.893270-5 2.786121+0 1.541970-5 3.198895+0 1.265388-5 3.715352+0 1.029277-5 4.365158+0 8.304799-6 5.188000+0 6.650270-6 6.237348+0 5.287487-6 7.673615+0 4.119140-6 9.660509+0 3.147706-6 1.216186+1 2.423218-6 1.500000+1 1.918900-6 2.041738+1 1.372231-6 2.851018+1 9.616726-7 4.265795+1 6.310039-7 7.328245+1 3.615271-7 1.364583+2 1.922129-7 2.722701+2 9.577670-8 1.083927+3 2.395061-8 1.000000+5 2.59260-10 1 28000 7 0 5.871000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 8.670200-4 4.659900-5 1.000000+5 4.659900-5 1 28000 7 7 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 8.670200-4 6.177600-6 1.000000+5 6.177600-6 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 8.670200-4 8.142434-4 1.000000+5 1.000000+5 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.186400-4 2.995783+5 1.650000-4 2.645100+5 1.737801-4 2.587785+5 1.840772-4 2.505836+5 1.950000-4 2.407120+5 2.089296-4 2.274571+5 2.290868-4 2.089500+5 2.540973-4 1.884912+5 2.786121-4 1.708458+5 3.019952-4 1.557221+5 3.311311-4 1.389994+5 3.715352-4 1.196480+5 4.200000-4 1.012612+5 4.700000-4 8.620440+4 5.308844-4 7.183724+4 6.095369-4 5.800111+4 6.918310-4 4.729963+4 8.035261-4 3.686949+4 9.225714-4 2.907505+4 1.083927-3 2.184856+4 1.258925-3 1.662135+4 1.462177-3 1.255429+4 1.717908-3 9.207361+3 2.018366-3 6.700630+3 2.371374-3 4.840438+3 2.800000-3 3.435200+3 3.300000-3 2.428880+3 3.845918-3 1.746241+3 4.518559-3 1.224386+3 5.248075-3 8.742692+2 6.095369-3 6.198311+2 7.079458-3 4.362982+2 8.222426-3 3.049462+2 9.549926-3 2.116150+2 1.122018-2 1.416857+2 1.318257-2 9.412868+1 1.548817-2 6.205781+1 1.819701-2 4.060832+1 2.137962-2 2.637801+1 2.540973-2 1.648319+1 3.019952-2 1.022028+1 3.589219-2 6.289518+0 4.315191-2 3.718950+0 5.188000-2 2.182704+0 6.382635-2 1.188099+0 8.128305-2 5.794990-1 1.047129-1 2.711653-1 1.698244-1 6.305078-2 2.213095-1 2.857072-2 2.600160-1 1.775955-2 3.019952-1 1.150453-2 3.427678-1 8.020758-3 3.845918-1 5.817051-3 4.315191-1 4.250157-3 4.786301-1 3.227066-3 5.308844-1 2.468511-3 5.821032-1 1.958285-3 6.382635-1 1.563929-3 6.998420-1 1.257568-3 7.673615-1 1.018213-3 8.511380-1 8.093198-4 9.225714-1 6.812947-4 1.000000+0 5.771800-4 1.148154+0 4.388185-4 1.273503+0 3.597795-4 1.412538+0 2.972827-4 1.566751+0 2.474109-4 1.757924+0 2.032812-4 1.972423+0 1.682324-4 2.238721+0 1.376626-4 2.540973+0 1.135174-4 2.917427+0 9.271009-5 3.388442+0 7.505234-5 3.935501+0 6.121966-5 4.623810+0 4.952471-5 5.559043+0 3.918561-5 6.683439+0 3.124271-5 8.222427+0 2.440116-5 1.047129+1 1.844484-5 1.380384+1 1.351691-5 1.862087+1 9.741280-6 2.600160+1 6.812557-6 3.935501+1 4.409417-6 6.918310+1 2.464419-6 1.303167+2 1.294210-6 2.600160+2 6.447752-7 1.035142+3 1.612028-7 1.000000+5 1.666300-9 1 28000 7 0 5.871000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.186400-4 4.057800-5 1.000000+5 4.057800-5 1 28000 7 7 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.186400-4 1.672800-9 1.000000+5 1.672800-9 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.186400-4 7.806033-5 1.000000+5 1.000000+5 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 8.048000-5 3.137600+5 8.110000-5 3.099580+5 8.200000-5 3.025100+5 8.300000-5 2.925500+5 8.413951-5 2.800019+5 8.570000-5 2.619200+5 9.015711-5 2.148976+5 9.150000-5 2.034840+5 9.300000-5 1.925488+5 9.450000-5 1.835116+5 9.580000-5 1.771468+5 9.720000-5 1.717124+5 9.850000-5 1.678732+5 1.000000-4 1.647448+5 1.015000-4 1.628392+5 1.030000-4 1.619960+5 1.047129-4 1.621330+5 1.060000-4 1.628844+5 1.080000-4 1.649558+5 1.100000-4 1.678942+5 1.128000-4 1.730634+5 1.174898-4 1.833752+5 1.280000-4 2.084620+5 1.333521-4 2.205394+5 1.396368-4 2.333752+5 1.450000-4 2.429640+5 1.513561-4 2.524947+5 1.580000-4 2.603300+5 1.650000-4 2.663580+5 1.720000-4 2.702940+5 1.800000-4 2.725240+5 1.883649-4 2.726814+5 1.980000-4 2.707600+5 2.089296-4 2.666875+5 2.213095-4 2.604600+5 2.350000-4 2.522060+5 2.500000-4 2.420900+5 2.660725-4 2.305751+5 2.818383-4 2.189691+5 3.000000-4 2.056360+5 3.200000-4 1.914414+5 3.467369-4 1.738415+5 3.758374-4 1.565958+5 4.073803-4 1.399545+5 4.415704-4 1.241076+5 4.786301-4 1.092421+5 5.248075-4 9.373991+4 5.688529-4 8.147368+4 6.237348-4 6.889253+4 6.839116-4 5.780774+4 7.500000-4 4.818680+4 8.222426-4 3.991850+4 9.015711-4 3.284014+4 1.000000-3 2.618880+4 1.110000-3 2.069280+4 1.244515-3 1.585482+4 1.396368-3 1.203023+4 1.570000-3 9.011700+3 1.778279-3 6.574476+3 2.018366-3 4.732090+3 2.290868-3 3.378589+3 2.600160-3 2.394404+3 2.951209-3 1.683525+3 3.349654-3 1.175215+3 3.801894-3 8.144569+2 4.315191-3 5.603296+2 4.897788-3 3.827290+2 5.559043-3 2.595730+2 6.382635-3 1.686507+2 7.328245-3 1.087483+2 8.413951-3 6.961150+1 9.772372-3 4.260475+1 1.135011-2 2.588395+1 1.333521-2 1.501622+1 1.566751-2 8.644597+0 1.862087-2 4.745778+0 2.213095-2 2.585194+0 2.660725-2 1.342063+0 3.311311-2 6.110563-1 4.168694-2 2.648167-1 9.549926-2 1.274399-2 1.174898-1 6.012348-3 1.396368-1 3.237003-3 1.640590-1 1.829407-3 1.883649-1 1.129439-3 2.162719-1 7.025269-4 2.454709-1 4.580347-4 2.754229-1 3.126471-4 3.090295-1 2.149771-4 3.427678-1 1.545077-4 3.801894-1 1.118161-4 4.216965-1 8.152118-5 4.677351-1 5.989439-5 5.188000-1 4.435562-5 5.688529-1 3.419810-5 6.237348-1 2.654892-5 6.839117-1 2.075830-5 7.498942-1 1.634525-5 8.609938-1 1.152215-5 9.120108-1 1.001314-5 9.660509-1 8.755017-6 1.023293+0 7.711440-6 1.096478+0 6.673476-6 1.174898+0 5.818523-6 1.258925+0 5.111513-6 1.380384+0 4.331708-6 1.678804+0 3.087865-6 1.883649+0 2.546587-6 2.113489+0 2.115696-6 2.398833+0 1.738821-6 2.722701+0 1.439350-6 3.126079+0 1.179803-6 3.630781+0 9.585308-7 4.265795+0 7.725548-7 5.069907+0 6.180290-7 6.095369+0 4.909073-7 7.498942+0 3.820912-7 9.332543+0 2.956617-7 1.161449+1 2.303525-7 1.428894+1 1.827106-7 1.927525+1 1.317738-7 2.722701+1 9.112054-8 4.120975+1 5.902895-8 7.161434+1 3.340691-8 1.333521+2 1.775707-8 2.660725+2 8.847029-9 1.059254+3 2.212155-9 1.000000+5 2.34000-11 1 28000 7 0 5.871000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 8.048000-5 2.917900-5 1.000000+5 2.917900-5 1 28000 7 7 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 8.048000-5 1.714400-9 1.000000+5 1.714400-9 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 8.048000-5 5.129929-5 1.000000+5 1.000000+5 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 7.821000-5 6.657560+5 7.910000-5 6.507800+5 8.000000-5 6.321640+5 8.128305-5 6.019388+5 8.230000-5 5.766560+5 8.730000-5 4.625280+5 8.912509-5 4.305832+5 9.070000-5 4.080600+5 9.190000-5 3.939568+5 9.350000-5 3.790248+5 9.500000-5 3.687020+5 9.650000-5 3.615540+5 9.800000-5 3.571780+5 9.950000-5 3.551984+5 1.011579-4 3.553710+5 1.030000-4 3.579476+5 1.050000-4 3.629864+5 1.080000-4 3.737136+5 1.120000-4 3.916812+5 1.240000-4 4.521560+5 1.303167-4 4.817246+5 1.364583-4 5.071460+5 1.421600-4 5.273432+5 1.480000-4 5.444480+5 1.540000-4 5.582480+5 1.605800-4 5.691646+5 1.678804-4 5.765320+5 1.757924-4 5.796461+5 1.840772-4 5.784843+5 1.927525-4 5.735271+5 2.018366-4 5.653062+5 2.137962-4 5.512737+5 2.264644-4 5.339624+5 2.400000-4 5.137880+5 2.540973-4 4.915502+5 2.691535-4 4.672521+5 2.851018-4 4.414162+5 3.054921-4 4.093363+5 3.280000-4 3.761440+5 3.548134-4 3.401218+5 3.850000-4 3.041272+5 4.168694-4 2.706845+5 4.518559-4 2.386978+5 4.954502-4 2.051313+5 5.432503-4 1.749484+5 5.888437-4 1.512844+5 6.456542-4 1.271551+5 7.079458-4 1.061597+5 7.852356-4 8.599751+4 8.609938-4 7.078873+4 9.500000-4 5.713440+4 1.059254-3 4.473361+4 1.190000-3 3.412900+4 1.333521-3 2.598365+4 1.513561-3 1.901182+4 1.698244-3 1.420167+4 1.927525-3 1.022054+4 2.162719-3 7.524827+3 2.426610-3 5.504876+3 2.754229-3 3.874952+3 3.126079-3 2.707399+3 3.548134-3 1.877303+3 4.027170-3 1.292161+3 4.570882-3 8.829729+2 5.188000-3 5.990932+2 5.888437-3 4.036548+2 6.683439-3 2.700832+2 7.673615-3 1.729459+2 8.810489-3 1.099520+2 1.023293-2 6.679427+1 1.188502-2 4.026857+1 1.380384-2 2.410005+1 1.603245-2 1.432205+1 1.883649-2 8.116412+0 2.213095-2 4.566377+0 2.630268-2 2.447697+0 3.198895-2 1.197727+0 3.910850-2 5.705459-1 5.069907-2 2.169503-1 7.413102-2 5.219206-2 1.011580-1 1.630017-2 1.230269-1 7.875489-3 1.445440-1 4.354191-3 1.678804-1 2.528680-3 1.905461-1 1.607255-3 2.162719-1 1.029039-3 2.426610-1 6.912110-4 2.691535-1 4.865347-4 2.985383-1 3.450201-4 3.273407-1 2.559364-4 3.589219-1 1.911579-4 3.935501-1 1.438092-4 4.315191-1 1.090115-4 4.677351-1 8.610649-5 5.069907-1 6.845233-5 5.495409-1 5.478650-5 6.000000-1 4.330400-5 6.531306-1 3.476937-5 7.079458-1 2.841989-5 7.673615-1 2.338444-5 8.511380-1 1.835150-5 9.120108-1 1.571207-5 9.772372-1 1.353859-5 1.071519+0 1.120764-5 1.174898+0 9.341683-6 1.288250+0 7.851180-6 1.428894+0 6.504673-6 1.621810+0 5.211413-6 1.819701+0 4.290904-6 2.044000+0 3.551600-6 2.317395+0 2.917869-6 2.630268+0 2.410789-6 3.019952+0 1.972543-6 3.507519+0 1.599734-6 4.120975+0 1.287206-6 4.897788+0 1.028152-6 5.888437+0 8.154879-7 7.161434+0 6.426630-7 8.810489+0 5.031964-7 1.109175+1 3.862289-7 1.400000+1 2.975100-7 1.883649+1 2.150636-7 2.630268+1 1.504544-7 3.981072+1 9.739915-8 6.998420+1 5.444843-8 1.318257+2 2.859821-8 2.630268+2 1.424764-8 1.047129+3 3.562459-9 1.000000+5 3.72510-11 1 28000 7 0 5.871000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 7.821000-5 2.900800-5 1.000000+5 2.900800-5 1 28000 7 7 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 7.821000-5 1.613900-9 1.000000+5 1.613900-9 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 7.821000-5 4.920039-5 1.000000+5 1.000000+5 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.492000-5 1.367682+6 1.690000-5 1.379581+6 1.750000-5 1.392541+6 1.819701-5 1.419248+6 1.883649-5 1.452297+6 1.950000-5 1.493690+6 2.041738-5 1.560385+6 2.162719-5 1.661213+6 2.317395-5 1.804790+6 2.900000-5 2.399011+6 3.162278-5 2.660997+6 3.388442-5 2.872086+6 3.630781-5 3.076205+6 3.850000-5 3.239584+6 4.073803-5 3.381707+6 4.300000-5 3.497568+6 4.518559-5 3.585008+6 4.731513-5 3.646903+6 5.000000-5 3.695776+6 5.248075-5 3.714930+6 5.500000-5 3.712384+6 5.821032-5 3.683524+6 6.165950-5 3.628954+6 6.531306-5 3.552584+6 7.000000-5 3.436704+6 7.500000-5 3.302016+6 8.035261-5 3.152743+6 8.609938-5 2.990380+6 9.225714-5 2.817923+6 9.800000-5 2.658762+6 1.047129-4 2.476230+6 1.109175-4 2.312995+6 1.174898-4 2.146301+6 1.244515-4 1.979665+6 1.330000-4 1.790422+6 1.428894-4 1.593848+6 1.531087-4 1.415687+6 1.659587-4 1.223807+6 1.778279-4 1.073349+6 1.927525-4 9.142999+5 2.080000-4 7.791008+5 2.220000-4 6.754016+5 2.426610-4 5.507990+5 2.660725-4 4.419717+5 2.900000-4 3.572096+5 3.126079-4 2.950906+5 3.430000-4 2.312115+5 3.758374-4 1.803382+5 4.200000-4 1.321581+5 4.623810-4 1.003138+5 5.069907-4 7.651095+4 5.623413-4 5.599417+4 6.309573-4 3.926202+4 7.000000-4 2.831046+4 7.852356-4 1.955981+4 8.810489-4 1.340494+4 9.885531-4 9.121496+3 1.109175-3 6.162934+3 1.244515-3 4.135481+3 1.412538-3 2.646252+3 1.603245-3 1.680586+3 1.819701-3 1.059508+3 2.065380-3 6.631804+2 2.344229-3 4.122701+2 2.660725-3 2.544506+2 3.019952-3 1.558973+2 3.427678-3 9.479625+1 3.890451-3 5.721791+1 4.415704-3 3.427929+1 5.011872-3 2.038902+1 5.754399-3 1.147822+1 6.683439-3 6.111257+0 7.852356-3 3.074657+0 9.332543-3 1.461004+0 1.161449-2 5.645769-1 1.380384-2 2.645873-1 1.603245-2 1.363223-1 1.949845-2 5.680647-2 2.426610-2 2.116958-2 3.273407-2 5.432402-3 5.188000-2 6.676272-4 6.606934-2 2.234826-4 8.128305-2 8.809396-5 9.660509-2 4.083314-5 1.122019-1 2.111962-5 1.288250-1 1.157305-5 1.462177-1 6.713825-6 1.659587-1 3.923545-6 1.862087-1 2.425083-6 2.065380-1 1.583074-6 2.290868-1 1.040386-6 2.540973-1 6.885943-7 2.818383-1 4.591935-7 3.126079-1 3.086489-7 3.427678-1 2.183342-7 3.758374-1 1.555078-7 4.120975-1 1.115573-7 4.518559-1 8.062736-8 4.954502-1 5.871630-8 5.432503-1 4.309634-8 5.956621-1 3.188164-8 6.531306-1 2.376250-8 7.079458-1 1.849829-8 7.673615-1 1.449746-8 8.035261-1 1.264539-8 8.511380-1 1.063195-8 8.912509-1 9.302375-9 9.332543-1 8.187840-9 9.772372-1 7.259371-9 1.011579+0 6.670105-9 1.059254+0 6.000130-9 1.109175+0 5.435097-9 1.161449+0 4.954230-9 1.216186+0 4.541721-9 1.303167+0 4.016132-9 1.428894+0 3.436341-9 1.513561+0 3.123734-9 1.798871+0 2.326916-9 2.000000+0 1.954300-9 2.264644+0 1.606759-9 2.570396+0 1.325795-9 2.951209+0 1.083334-9 3.427678+0 8.77521-10 4.000000+0 7.11670-10 4.731513+0 5.71127-10 5.688529+0 4.52338-10 6.918310+0 3.55993-10 8.511380+0 2.78395-10 1.071519+1 2.13442-10 1.380384+1 1.60582-10 1.862087+1 1.15720-10 2.600160+1 8.09327-11 3.935501+1 5.23832-11 6.918310+1 2.92771-11 1.303167+2 1.53755-11 2.600160+2 7.65977-12 1.035142+3 1.91506-12 1.000000+5 1.97960-14 1 28000 7 0 5.871000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.492000-5 1.492000-5 1.000000+5 1.492000-5 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.492000-5 0.0 1.000000+5 1.000000+5 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.466000-5 2.162674+6 1.515000-5 2.123592+6 1.550000-5 2.105962+6 1.603245-5 2.095048+6 1.659587-5 2.100856+6 1.717908-5 2.122277+6 1.778279-5 2.158186+6 1.850000-5 2.215464+6 1.927525-5 2.291756+6 2.018366-5 2.395975+6 2.150000-5 2.567448+6 2.350000-5 2.857344+6 2.851018-5 3.636601+6 3.090295-5 3.999107+6 3.333800-5 4.344710+6 3.570000-5 4.648378+6 3.801894-5 4.908669+6 4.027170-5 5.123163+6 4.265795-5 5.307579+6 4.500000-5 5.443584+6 4.731513-5 5.538426+6 5.000000-5 5.601072+6 5.248075-5 5.620562+6 5.559043-5 5.603065+6 5.900000-5 5.540256+6 6.237348-5 5.445082+6 6.683439-5 5.288756+6 7.161434-5 5.098293+6 7.673615-5 4.880979+6 8.300000-5 4.611859+6 8.912509-5 4.348014+6 9.549926-5 4.078007+6 1.011579-4 3.842739+6 1.080000-4 3.564946+6 1.150000-4 3.293467+6 1.220000-4 3.035179+6 1.303167-4 2.751302+6 1.380384-4 2.510492+6 1.500000-4 2.181686+6 1.620000-4 1.900536+6 1.757924-4 1.629812+6 1.905461-4 1.388520+6 2.018366-4 1.232139+6 2.187762-4 1.034189+6 2.350000-4 8.788752+5 2.540973-4 7.312615+5 2.800000-4 5.770272+5 3.100000-4 4.459075+5 3.430000-4 3.416616+5 3.801894-4 2.579583+5 4.216965-4 1.928169+5 4.677351-4 1.430156+5 5.128614-4 1.089663+5 5.688529-4 7.962502+4 6.382635-4 5.574263+4 7.079458-4 4.016291+4 7.943282-4 2.768415+4 8.912509-4 1.894208+4 1.000000-3 1.286947+4 1.122018-3 8.681191+3 1.258925-3 5.815666+3 1.428894-3 3.714552+3 1.621810-3 2.354873+3 1.840772-3 1.481953+3 2.089296-3 9.259078+2 2.371374-3 5.744519+2 2.691535-3 3.538088+2 3.054921-3 2.163002+2 3.467369-3 1.312360+2 3.935501-3 7.903017+1 4.466836-3 4.723121+1 5.069907-3 2.802057+1 5.821032-3 1.572510+1 6.760830-3 8.341922+0 7.673615-3 4.847906+0 9.120108-3 2.293689+0 1.161449-2 7.972552-1 1.380384-2 3.721152-1 1.603245-2 1.909754-1 1.927525-2 8.334573-2 2.344229-2 3.426046-2 3.019952-2 1.074798-2 5.623413-2 6.168958-4 7.079458-2 2.154263-4 8.709636-2 8.419731-5 1.023293-1 4.084645-5 1.174898-1 2.212474-5 1.333521-1 1.270258-5 1.500000-1 7.641400-6 1.678804-1 4.732982-6 1.862087-1 3.067922-6 2.065380-1 2.003667-6 2.264644-1 1.381449-6 2.483133-1 9.591901-7 2.722701-1 6.710614-7 2.951209-1 4.941826-7 3.198895-1 3.663742-7 3.467369-1 2.735507-7 3.758374-1 2.057682-7 4.027170-1 1.622185-7 4.365158-1 1.239158-7 4.731513-1 9.539505-8 5.128614-1 7.399119-8 5.559043-1 5.781503-8 6.025596-1 4.553411-8 6.531306-1 3.616491-8 7.079458-1 2.895584-8 7.943282-1 2.129978-8 8.511380-1 1.784029-8 9.015711-1 1.548468-8 9.549926-1 1.352698-8 1.011579+0 1.190383-8 1.083927+0 1.029264-8 1.161449+0 8.964162-9 1.244515+0 7.871628-9 1.380384+0 6.529279-9 1.640590+0 4.835128-9 1.862087+0 3.907586-9 2.089296+0 3.244136-9 2.371374+0 2.664403-9 2.691535+0 2.204114-9 3.090295+0 1.805544-9 3.589219+0 1.466031-9 4.216965+0 1.180946-9 5.011872+0 9.44282-10 6.025596+0 7.49697-10 7.328245+0 5.91330-10 9.120108+0 4.57207-10 1.135011+1 3.55935-10 1.412538+1 2.78631-10 1.905461+1 2.00900-10 2.660725+1 1.40580-10 4.027170+1 9.10278-11 6.998420+1 5.14992-11 1.318257+2 2.70486-11 2.630268+2 1.34760-11 1.047129+3 3.36946-12 1.000000+5 3.52330-14 1 28000 7 0 5.871000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.466000-5 1.466000-5 1.000000+5 1.466000-5 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.466000-5 0.0 1.000000+5 1.000000+5 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 8.090000-6 2.269579+6 8.413951-6 1.776706+6 8.709636-6 1.421950+6 9.015711-6 1.128344+6 9.280000-6 9.227740+5 9.549926-6 7.502071+5 9.772372-6 6.313501+5 1.000000-5 5.279380+5 1.023293-5 4.383428+5 1.042000-5 3.766140+5 1.060000-5 3.246500+5 1.077000-5 2.814840+5 1.096478-5 2.382017+5 1.115000-5 2.024600+5 1.127000-5 1.818046+5 1.142000-5 1.584824+5 1.157000-5 1.376814+5 1.172000-5 1.191546+5 1.188502-5 1.011431+5 1.202264-5 8.783326+4 1.218400-5 7.401635+4 1.230269-5 6.497244+4 1.245000-5 5.494680+4 1.255000-5 4.883980+4 1.265000-5 4.325360+4 1.275000-5 3.815500+4 1.285000-5 3.351260+4 1.295000-5 2.929600+4 1.305000-5 2.547780+4 1.315000-5 2.203180+4 1.325000-5 1.893364+4 1.333521-5 1.655083+4 1.342000-5 1.440100+4 1.350000-5 1.256344+4 1.357000-5 1.109974+4 1.365000-5 9.583220+3 1.372000-5 8.386340+3 1.380384-5 7.104139+3 1.387000-5 6.203120+3 1.395000-5 5.237240+3 1.402500-5 4.448533+3 1.425000-5 2.703420+3 1.430000-5 2.432080+3 1.435000-5 2.199940+3 1.438500-5 2.060000+3 1.442000-5 1.938140+3 1.446000-5 1.820396+3 1.448500-5 1.758194+3 1.452000-5 1.685476+3 1.455000-5 1.636198+3 1.457000-5 1.609900+3 1.460000-5 1.580096+3 1.463000-5 1.561643+3 1.466000-5 1.554284+3 1.468500-5 1.556456+3 1.471000-5 1.566028+3 1.473500-5 1.582864+3 1.476500-5 1.612468+3 1.480000-5 1.659678+3 1.483500-5 1.720202+3 1.487000-5 1.793688+3 1.491000-5 1.893114+3 1.496236-5 2.047355+3 1.503000-5 2.285460+3 1.513561-5 2.739831+3 1.526000-5 3.394560+3 1.535000-5 3.942360+3 1.542000-5 4.408260+3 1.550000-5 4.980680+3 1.557000-5 5.514420+3 1.565000-5 6.159660+3 1.573200-5 6.857517+3 1.580000-5 7.462420+3 1.590000-5 8.392060+3 1.600000-5 9.365660+3 1.610000-5 1.037930+4 1.621810-5 1.162299+4 1.635000-5 1.306494+4 1.645000-5 1.419112+4 1.660000-5 1.592668+4 1.675000-5 1.770968+4 1.690000-5 1.953180+4 1.705000-5 2.138560+4 1.720000-5 2.326400+4 1.737801-5 2.551677+4 1.757924-5 2.808322+4 1.778279-5 3.068939+4 1.800000-5 3.346940+4 1.822000-5 3.627300+4 1.850000-5 3.980820+4 1.873700-5 4.276022+4 1.905461-5 4.664318+4 1.935000-5 5.016660+4 1.965000-5 5.364820+4 2.000000-5 5.757720+4 2.041738-5 6.206443+4 2.070000-5 6.497680+4 2.113489-5 6.925557+4 2.162719-5 7.380204+4 2.213095-5 7.813080+4 2.270000-5 8.263640+4 2.330000-5 8.696260+4 2.400000-5 9.149000+4 2.483133-5 9.619754+4 2.570396-5 1.004220+5 2.660725-5 1.041040+5 2.770000-5 1.077366+5 2.884032-5 1.107030+5 3.019952-5 1.133144+5 3.162278-5 1.151597+5 3.311311-5 1.163076+5 3.507519-5 1.168725+5 3.730000-5 1.165376+5 3.981072-5 1.152570+5 4.265795-5 1.130232+5 4.570882-5 1.100572+5 4.900000-5 1.064594+5 5.308844-5 1.017166+5 5.754399-5 9.642996+4 6.237348-5 9.075781+4 6.760830-5 8.483277+4 7.328245-5 7.876640+4 8.000000-5 7.210900+4 8.709636-5 6.574513+4 9.549926-5 5.906411+4 1.059254-4 5.196127+4 1.188502-4 4.474006+4 1.364583-4 3.710792+4 1.621810-4 2.915291+4 2.018366-4 2.129679+4 3.019952-4 1.185258+4 3.507519-4 9.457829+3 4.027170-4 7.625269+3 4.677351-4 5.981542+3 5.688529-4 4.317066+3 6.760830-4 3.214093+3 8.128305-4 2.330454+3 9.660509-4 1.710762+3 1.135011-3 1.272151+3 1.333521-3 9.390936+2 1.584893-3 6.731131+2 1.883649-3 4.786731+2 2.213095-3 3.456200+2 2.660725-3 2.362651+2 3.388442-3 1.420179+2 3.981072-3 1.004135+2 4.570882-3 7.399204+1 5.308844-3 5.275830+1 6.237348-3 3.635612+1 7.244360-3 2.554974+1 8.511380-3 1.733994+1 1.000000-2 1.167491+1 1.174898-2 7.798345+0 1.380384-2 5.168997+0 1.621810-2 3.400438+0 1.905461-2 2.220516+0 2.238721-2 1.439426+0 2.660725-2 8.975962-1 3.162278-2 5.554097-1 3.801894-2 3.301551-1 4.570882-2 1.947676-1 5.432503-2 1.179574-1 6.760830-2 6.198198-2 8.709636-2 2.917413-2 1.071519-1 1.566059-2 1.717908-1 3.771312-3 2.238721-1 1.709640-3 2.630268-1 1.063296-3 3.054921-1 6.892521-4 3.467369-1 4.808895-4 3.890451-1 3.490491-4 4.315191-1 2.632934-4 4.786301-1 1.999531-4 5.308844-1 1.529840-4 5.821032-1 1.213896-4 6.382635-1 9.697243-5 6.998420-1 7.800672-5 7.673615-1 6.319246-5 8.413951-1 5.155021-5 9.225714-1 4.236332-5 1.000000+0 3.591100-5 1.148154+0 2.731172-5 1.273503+0 2.239982-5 1.412538+0 1.850328-5 1.566751+0 1.539221-5 1.757924+0 1.264525-5 1.972423+0 1.046625-5 2.238721+0 8.566483-6 2.540973+0 7.063988-6 2.917427+0 5.768388-6 3.349654+0 4.744798-6 3.890451+0 3.868190-6 4.570882+0 3.127631-6 5.495409+0 2.473398-6 6.606934+0 1.971160-6 8.128305+0 1.538913-6 1.035142+1 1.162790-6 1.364583+1 8.517758-7 1.840772+1 6.136694-7 2.570396+1 4.290674-7 3.890451+1 2.776455-7 6.839116+1 1.551477-7 1.273503+2 8.242315-8 2.540973+2 4.105647-8 1.011579+3 1.026390-8 1.000000+5 1.03680-10 1 28000 7 0 5.871000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 8.090000-6 8.090000-6 1.000000+5 8.090000-6 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 8.090000-6 0.0 1.000000+5 1.000000+5 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.612170-8 1.028750+0 3.612170-7 1.032000+0 1.163940-6 1.033200+0 1.630490-6 1.034000+0 2.001570-6 1.035300+0 2.716850-6 1.036640+0 3.612170-6 1.038200+0 4.874740-6 1.039700+0 6.333270-6 1.041500+0 8.426340-6 1.043800+0 1.169600-5 1.046400+0 1.627280-5 1.048300+0 2.026010-5 1.051200+0 2.748240-5 1.054080+0 3.612170-5 1.057700+0 4.923610-5 1.061100+0 6.404380-5 1.065100+0 8.478680-5 1.070400+0 1.182860-4 1.076200+0 1.634710-4 1.080600+0 2.041480-4 1.087100+0 2.750560-4 1.093710+0 3.612170-4 1.102600+0 5.008260-4 1.110700+0 6.531830-4 1.120600+0 8.737740-4 1.133300+0 1.214950-3 1.147500+0 1.677500-3 1.158200+0 2.084720-3 1.174100+0 2.786230-3 1.190110+0 3.612170-3 1.205100+0 4.495940-3 1.227500+0 6.016860-3 1.250000+0 7.777000-3 1.265600+0 9.125440-3 1.294900+0 1.192250-2 1.331800+0 1.589680-2 1.362600+0 1.956100-2 1.411700+0 2.598810-2 1.455800+0 3.232570-2 1.500000+0 3.921000-2 1.562500+0 4.987150-2 1.617200+0 6.006170-2 1.712900+0 7.964040-2 1.784700+0 9.561150-2 1.892300+0 1.211370-1 2.000000+0 1.479000-1 2.044000+0 1.590000-1 2.163500+0 1.896230-1 2.372600+0 2.443230-1 2.647100+0 3.166040-1 3.000000+0 4.082000-1 3.437500+0 5.177310-1 4.000000+0 6.505000-1 4.750000+0 8.131600-1 5.000000+0 8.642000-1 6.000000+0 1.054000+0 7.000000+0 1.223000+0 8.000000+0 1.375000+0 9.000000+0 1.513000+0 1.000000+1 1.637000+0 1.100000+1 1.751000+0 1.200000+1 1.854000+0 1.300000+1 1.950000+0 1.400000+1 2.039000+0 1.500000+1 2.123000+0 1.600000+1 2.201000+0 1.800000+1 2.344000+0 2.000000+1 2.471000+0 2.200000+1 2.587000+0 2.400000+1 2.692000+0 2.600000+1 2.788000+0 2.800000+1 2.876000+0 3.000000+1 2.957000+0 4.000000+1 3.289000+0 5.000000+1 3.537000+0 6.000000+1 3.732000+0 8.000000+1 4.021000+0 1.000000+2 4.228000+0 1.500000+2 4.559000+0 2.000000+2 4.757000+0 3.000000+2 4.989000+0 4.000000+2 5.122000+0 5.000000+2 5.210000+0 6.000000+2 5.273000+0 8.000000+2 5.356000+0 1.000000+3 5.411000+0 1.500000+3 5.489000+0 2.000000+3 5.532000+0 3.000000+3 5.578000+0 4.000000+3 5.603000+0 5.000000+3 5.619000+0 6.000000+3 5.630000+0 8.000000+3 5.644000+0 1.000000+4 5.653000+0 1.500000+4 5.665000+0 2.000000+4 5.672000+0 3.000000+4 5.679000+0 4.000000+4 5.683000+0 5.000000+4 5.685000+0 6.000000+4 5.686000+0 8.000000+4 5.689000+0 1.000000+5 5.690000+0 1 28000 7 8 5.871000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 2.812340-7 2.114000+0 1.267800-6 2.119500+0 1.578410-6 2.127900+0 2.140620-6 2.136250+0 2.812340-6 2.147000+0 3.855920-6 2.156900+0 5.008370-6 2.169000+0 6.683990-6 2.184500+0 9.290960-6 2.201800+0 1.285430-5 2.214800+0 1.601550-5 2.234200+0 2.154360-5 2.253680+0 2.812340-5 2.281500+0 3.939180-5 2.307000+0 5.174100-5 2.338200+0 6.957030-5 2.377400+0 9.634650-5 2.410200+0 1.225370-4 2.446800+0 1.558740-4 2.485900+0 1.962530-4 2.532900+0 2.511620-4 2.556430+0 2.812340-4 2.611900+0 3.586040-4 2.660400+0 4.335330-4 2.745300+0 5.802560-4 2.809000+0 7.027230-4 2.904500+0 9.052900-4 3.000000+0 1.130000-3 3.125000+0 1.457100-3 3.234400+0 1.772970-3 3.425800+0 2.387580-3 3.569300+0 2.895240-3 3.784700+0 3.722010-3 4.000000+0 4.611000-3 4.250000+0 5.698180-3 4.625000+0 7.407430-3 5.000000+0 9.185000-3 5.500000+0 1.162570-2 6.000000+0 1.410000-2 6.750000+0 1.778540-2 7.000000+0 1.900000-2 8.000000+0 2.376000-2 9.000000+0 2.831000-2 1.000000+1 3.264000-2 1.100000+1 3.674000-2 1.200000+1 4.061000-2 1.300000+1 4.426000-2 1.400000+1 4.775000-2 1.500000+1 5.104000-2 1.600000+1 5.418000-2 1.800000+1 6.001000-2 2.000000+1 6.532000-2 2.200000+1 7.020000-2 2.400000+1 7.469000-2 2.600000+1 7.884000-2 2.800000+1 8.271000-2 3.000000+1 8.631000-2 4.000000+1 1.013000-1 5.000000+1 1.128000-1 6.000000+1 1.220000-1 8.000000+1 1.359000-1 1.000000+2 1.461000-1 1.500000+2 1.632000-1 2.000000+2 1.740000-1 3.000000+2 1.874000-1 4.000000+2 1.954000-1 5.000000+2 2.010000-1 6.000000+2 2.051000-1 8.000000+2 2.107000-1 1.000000+3 2.145000-1 1.500000+3 2.201000-1 2.000000+3 2.233000-1 3.000000+3 2.268000-1 4.000000+3 2.289000-1 5.000000+3 2.301000-1 6.000000+3 2.310000-1 8.000000+3 2.322000-1 1.000000+4 2.330000-1 1.500000+4 2.340000-1 2.000000+4 2.346000-1 3.000000+4 2.352000-1 4.000000+4 2.355000-1 5.000000+4 2.358000-1 6.000000+4 2.359000-1 8.000000+4 2.360000-1 1.000000+5 2.362000-1 1 28000 7 8 5.871000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 28000 7 9 5.871000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 2.800000+1 1.000000+5 2.800000+1 5.000000+5 2.798400+1 7.500000+5 2.797170+1 1.000000+6 2.796300+1 1.250000+6 2.795150+1 1.500000+6 2.793800+1 2.000000+6 2.789000+1 2.500000+6 2.782900+1 3.000000+6 2.775500+1 3.500000+6 2.766800+1 4.000000+6 2.757300+1 4.500000+6 2.746740+1 5.000000+6 2.735300+1 5.500000+6 2.722600+1 6.156200+6 2.704420+1 6.500000+6 2.694270+1 6.718700+6 2.687870+1 7.000000+6 2.679300+1 7.500000+6 2.663520+1 8.250000+6 2.638840+1 8.500000+6 2.630640+1 9.000000+6 2.613900+1 9.750000+6 2.588060+1 1.000000+7 2.579500+1 1.062500+7 2.557200+1 1.156300+7 2.522920+1 1.187500+7 2.511160+1 1.250000+7 2.488000+1 1.375000+7 2.440910+1 1.500000+7 2.394600+1 1.750000+7 2.303900+1 2.000000+7 2.213500+1 2.250000+7 2.124830+1 2.500000+7 2.038000+1 2.750000+7 1.952790+1 3.000000+7 1.868900+1 3.250000+7 1.786280+1 3.500000+7 1.706030+1 3.578100+7 1.681560+1 3.859400+7 1.595550+1 4.000000+7 1.554200+1 4.437500+7 1.432160+1 4.500000+7 1.415690+1 4.812500+7 1.336450+1 5.000000+7 1.291800+1 5.500000+7 1.182260+1 5.750000+7 1.132740+1 6.000000+7 1.086800+1 6.750000+7 9.679070+0 7.000000+7 9.342500+0 7.750000+7 8.488910+0 8.000000+7 8.249500+0 8.750000+7 7.644980+0 9.000000+7 7.474100+0 1.000000+8 6.906000+0 1.125000+8 6.358250+0 1.250000+8 5.901300+0 1.375000+8 5.485720+0 1.468800+8 5.188470+0 1.500000+8 5.091400+0 1.589800+8 4.815480+0 1.665000+8 4.586810+0 1.748800+8 4.334060+0 1.750000+8 4.330480+0 1.838500+8 4.065460+0 1.919300+8 3.825970+0 2.000000+8 3.590100+0 2.125000+8 3.239670+0 2.312500+8 2.800400+0 2.375000+8 2.682850+0 2.406300+8 2.629690+0 2.476600+8 2.524120+0 2.500000+8 2.492900+0 2.562500+8 2.419300+0 2.808600+8 2.184930+0 2.875000+8 2.121330+0 2.877000+8 2.119350+0 2.959000+8 2.034120+0 3.000000+8 1.988200+0 3.062500+8 1.913960+0 3.335900+8 1.607570+0 3.418000+8 1.538130+0 3.479500+8 1.495760+0 3.500000+8 1.483500+0 3.562500+8 1.452100+0 3.617200+8 1.430400+0 3.712900+8 1.401610+0 4.000000+8 1.339100+0 4.125000+8 1.306380+0 4.234400+8 1.274000+0 4.425800+8 1.213560+0 4.856400+8 1.085650+0 5.000000+8 1.050200+0 5.250000+8 9.986950-1 5.718800+8 9.187520-1 6.000000+8 8.724000-1 6.250000+8 8.295940-1 7.000000+8 7.138000-1 7.625000+8 6.408440-1 7.875000+8 6.121000-1 8.000000+8 5.972000-1 8.250000+8 5.659370-1 8.564500+8 5.256760-1 8.827600+8 4.923950-1 9.246300+8 4.420860-1 9.811600+8 3.819130-1 1.000000+9 3.641000-1 1.125000+9 2.701740-1 1.218800+9 2.196260-1 1.315400+9 1.792940-1 1.381300+9 1.568220-1 1.460400+9 1.340640-1 1.500000+9 1.241100-1 1.562500+9 1.100420-1 1.671900+9 8.959360-2 1.753900+9 7.715470-2 1.877000+9 6.212000-2 2.000000+9 5.049600-2 2.187500+9 3.747560-2 2.445700+9 2.564220-2 2.682600+9 1.861000-2 2.972200+9 1.297100-2 3.344000+9 8.512130-3 3.580600+9 6.650940-3 4.290300+9 3.440490-3 5.000000+9 1.960500-3 8.000000+9 3.477800-4 9.500000+9 1.854330-4 1.00000+10 1.538400-4 1.20500+10 7.846780-5 1.41820+10 4.388060-5 1.71170+10 2.260180-5 2.01490+10 1.279620-5 2.26440+10 8.545020-6 2.74790+10 4.402000-6 3.20120+10 2.621320-6 3.62610+10 1.722420-6 4.42280+10 8.869530-7 5.12000+10 5.460220-7 6.34000+10 2.704650-7 7.94120+10 1.298830-7 1.00000+11 6.169600-8 1.17140+11 3.714390-8 1.55940+11 1.493630-8 2.04410+11 6.356470-9 2.99030+11 1.935510-9 4.21500+11 6.69193-10 7.29680+11 1.24947-10 1.61310+12 1.14624-11 4.52640+12 5.40148-13 2.12750+13 5.91704-15 1.00000+14 6.61710-17 5.62340+14 4.21750-19 7.49890+15 1.98196-22 1.00000+17 8.85400-26 1 28000 7 0 5.871000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 4.50000-12 1.000000+2 4.50000-10 1.000000+3 4.500000-8 1.000000+4 4.500000-6 1.000000+5 4.500000-4 5.000000+5 1.125000-2 7.500000+5 2.531250-2 1.000000+6 4.500000-2 1.250000+6 7.030780-2 1.500000+6 1.009000-1 2.000000+6 1.774000-1 2.500000+6 2.734000-1 3.000000+6 3.872000-1 3.500000+6 5.168970-1 4.000000+6 6.605000-1 4.500000+6 8.159590-1 5.000000+6 9.810000-1 5.500000+6 1.153280+0 6.156200+6 1.387330+0 6.500000+6 1.512240+0 6.718700+6 1.592210+0 7.000000+6 1.695500+0 7.500000+6 1.879070+0 8.250000+6 2.153190+0 8.500000+6 2.243720+0 9.000000+6 2.423000+0 9.750000+6 2.685980+0 1.000000+7 2.772000+0 1.062500+7 2.982590+0 1.156300+7 3.288270+0 1.187500+7 3.387330+0 1.250000+7 3.582000+0 1.375000+7 3.958370+0 1.500000+7 4.322000+0 1.750000+7 5.028700+0 2.000000+7 5.726000+0 2.250000+7 6.422360+0 2.500000+7 7.114900+0 2.750000+7 7.796140+0 3.000000+7 8.461000+0 3.250000+7 9.103040+0 3.500000+7 9.722590+0 3.578100+7 9.911970+0 3.859400+7 1.057350+1 4.000000+7 1.089400+1 4.437500+7 1.184480+1 4.500000+7 1.197630+1 4.812500+7 1.261120+1 5.000000+7 1.298000+1 5.500000+7 1.391270+1 5.750000+7 1.435380+1 6.000000+7 1.478000+1 6.750000+7 1.595620+1 7.000000+7 1.631700+1 7.750000+7 1.730240+1 8.000000+7 1.760200+1 8.750000+7 1.841680+1 9.000000+7 1.866400+1 1.000000+8 1.954300+1 1.125000+8 2.045040+1 1.250000+8 2.120900+1 1.375000+8 2.186370+1 1.468800+8 2.230630+1 1.500000+8 2.244500+1 1.589800+8 2.282350+1 1.665000+8 2.311840+1 1.748800+8 2.342440+1 1.750000+8 2.342850+1 1.838500+8 2.372690+1 1.919300+8 2.397850+1 2.000000+8 2.421100+1 2.125000+8 2.453430+1 2.312500+8 2.495320+1 2.375000+8 2.507580+1 2.406300+8 2.513620+1 2.476600+8 2.526040+1 2.500000+8 2.530100+1 2.562500+8 2.540020+1 2.808600+8 2.574320+1 2.875000+8 2.582380+1 2.877000+8 2.582610+1 2.959000+8 2.591720+1 3.000000+8 2.596200+1 3.062500+8 2.602440+1 3.335900+8 2.626830+1 3.418000+8 2.633190+1 3.479500+8 2.637860+1 3.500000+8 2.639400+1 3.562500+8 2.643710+1 3.617200+8 2.647420+1 3.712900+8 2.653800+1 4.000000+8 2.671000+1 4.125000+8 2.677570+1 4.234400+8 2.683170+1 4.425800+8 2.692650+1 4.856400+8 2.711080+1 5.000000+8 2.716600+1 5.250000+8 2.725290+1 5.718800+8 2.739820+1 6.000000+8 2.747500+1 6.250000+8 2.753200+1 7.000000+8 2.767600+1 7.625000+8 2.776070+1 7.875000+8 2.778850+1 8.000000+8 2.780200+1 8.250000+8 2.782400+1 8.564500+8 2.784950+1 8.827600+8 2.786660+1 9.246300+8 2.789280+1 9.811600+8 2.791800+1 1.000000+9 2.792600+1 1.125000+9 2.796000+1 1.218800+9 2.797210+1 1.315400+9 2.798350+1 1.381300+9 2.798670+1 1.460400+9 2.799030+1 1.500000+9 2.799200+1 1.562500+9 2.799300+1 1.671900+9 2.799460+1 1.753900+9 2.799580+1 1.877000+9 2.799750+1 2.000000+9 2.799900+1 2.187500+9 2.799910+1 2.445700+9 2.799920+1 2.682600+9 2.799930+1 2.972200+9 2.799940+1 3.344000+9 2.799960+1 3.580600+9 2.799960+1 4.290300+9 2.799980+1 5.000000+9 2.800000+1 8.000000+9 2.800000+1 9.500000+9 2.800000+1 1.00000+10 2.800000+1 1.20500+10 2.800000+1 1.41820+10 2.800000+1 1.71170+10 2.800000+1 2.01490+10 2.800000+1 2.26440+10 2.800000+1 2.74790+10 2.800000+1 3.20120+10 2.800000+1 3.62610+10 2.800000+1 4.42280+10 2.800000+1 5.12000+10 2.800000+1 6.34000+10 2.800000+1 7.94120+10 2.800000+1 1.00000+11 2.800000+1 1.17140+11 2.800000+1 1.55940+11 2.800000+1 2.04410+11 2.800000+1 2.99030+11 2.800000+1 4.21500+11 2.800000+1 7.29680+11 2.800000+1 1.61310+12 2.800000+1 4.52640+12 2.800000+1 2.12750+13 2.800000+1 1.00000+14 2.800000+1 5.62340+14 2.800000+1 7.49890+15 2.800000+1 1.00000+17 2.800000+1 1 28000 7 0 5.871000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.037566-6 0.0 4.236855-6 0.0 4.255105-6 3.079415+0 4.257712-6 3.514843+0 4.268141-6 6.420147+0 4.278569-6 1.082525+1 4.283185-6 1.348800+1 4.288998-6 1.881448+1 4.305588-6 3.661726+1 4.317448-6 5.219902+1 4.329707-6 7.067147+1 4.351711-6 1.003391+2 4.357641-6 1.070941+2 4.369231-6 1.153230+2 4.380117-6 1.168108+2 4.390775-6 1.116130+2 4.401047-6 1.007719+2 4.415539-6 7.844570+1 4.439741-6 3.791942+1 4.445425-6 2.989282+1 4.451865-6 2.237978+1 4.462408-6 1.333675+1 4.472950-6 7.336655+0 4.488764-6 1.865007+0 4.494035-6 0.0 5.521417-6 0.0 5.535008-6 8.32506-15 5.548598-6 1.64730-14 5.562188-6 3.00893-14 5.575778-6 5.07346-14 5.589369-6 7.89680-14 5.602959-6 1.13462-13 5.616549-6 1.50490-13 5.630139-6 1.84253-13 5.643730-6 2.08246-13 5.657320-6 2.17267-13 5.670910-6 2.09249-13 5.684501-6 1.86032-13 5.698091-6 1.52674-13 5.725271-6 8.08881-14 5.738862-6 5.22185-14 5.752452-6 3.11185-14 5.766042-6 1.71186-14 5.779632-6 8.69299-15 5.793223-6 0.0 6.338730-6 0.0 6.350764-6 5.254801-2 6.369934-6 3.216462-1 6.382904-6 5.441667-1 6.387714-6 6.634275-1 6.398284-6 9.523487-1 6.413642-6 1.545657+0 6.435487-6 2.707697+0 6.468349-6 4.645443+0 6.480580-6 5.225662+0 6.494750-6 5.639752+0 6.511327-6 5.649517+0 6.528757-6 5.147070+0 6.543506-6 4.425018+0 6.572760-6 2.658778+0 6.588362-6 1.808741+0 6.601861-6 1.213119+0 6.617230-6 7.172598-1 6.632133-6 3.992662-1 6.650770-6 1.291640-1 6.663396-6 8.292748-5 6.680968-6 5.110347-5 6.696789-6 3.043747-5 6.712610-6 1.673545-5 6.728432-6 8.447925-6 6.743792-6 1.495728-7 6.744253-6 0.0 7.035061-6 0.0 7.039921-6 4.382455-3 7.070723-6 9.657913-2 7.074577-6 1.102059-1 7.088127-6 1.776334-1 7.091905-6 1.990940-1 7.109233-6 3.322493-1 7.126561-6 5.121657-1 7.175145-6 1.127159+0 7.195872-6 1.307035+0 7.213200-6 1.354273+0 7.230528-6 1.295920+0 7.251105-6 1.104561+0 7.299839-6 4.901832-1 7.317167-6 3.150090-1 7.334495-6 1.869288-1 7.349182-6 1.141894-1 7.351823-6 1.029013-1 7.381379-6 4.415587-2 7.386593-6 3.874942-2 7.389055-6 4.203191-2 7.407153-6 7.635100-2 7.425251-6 1.280854-1 7.443349-6 1.984275-1 7.495146-6 4.468102-1 7.515742-6 5.150702-1 7.533840-6 5.429524-1 7.551938-6 5.315745-1 7.584856-6 4.381155-1 7.613679-6 3.458372-1 7.624331-6 3.213777-1 7.642429-6 3.008594-1 7.660527-6 2.981820-1 7.706240-6 3.298222-1 7.715728-6 3.276519-1 7.731577-6 3.367398-1 7.753249-6 3.380530-1 7.892491-6 2.968099-1 7.945751-6 2.889552-1 8.019429-6 2.669970-1 8.625542-6 1.871000-1 9.026548-6 1.446632-1 9.447796-6 1.098239-1 9.864835-6 8.305563-2 1.027980-5 6.222194-2 1.068100-5 4.646074-2 1.073358-5 7.724474-1 1.075987-5 1.373117+0 1.078780-5 2.362079+0 1.081443-5 3.646310+0 1.088331-5 7.682639+0 1.091883-5 9.389874+0 1.094754-5 9.943396+0 1.097953-5 9.692149+0 1.105938-5 7.568190+0 1.109222-5 7.131268+0 1.117355-5 6.897079+0 1.119947-5 6.381699+0 1.121107-5 6.035560+0 1.122722-5 5.650265+0 1.125858-5 4.558461+0 1.130437-5 2.766955+0 1.133120-5 1.867673+0 1.135803-5 1.173886+0 1.138487-5 6.898428-1 1.140633-5 4.383097-1 1.143328-5 1.513231-1 1.143854-5 1.002827-1 1.148718-5 2.454939-2 1.180120-5 1.864428-2 1.215392-5 1.335265-2 1.241301-5 1.023541-2 1.271137-5 7.337185-3 1.274861-5 7.021078-3 1.281137-5 1.453420-1 1.284275-5 2.598477-1 1.287413-5 4.336050-1 1.290866-5 7.012548-1 1.300383-5 1.584863+0 1.303916-5 1.828551+0 1.306632-5 1.918326+0 1.309967-5 1.898252+0 1.320685-5 1.502379+0 1.326652-5 1.408943+0 1.331820-5 1.349639+0 1.333975-5 1.291707+0 1.337258-5 1.141294+0 1.346435-5 6.138594-1 1.348394-5 5.089454-1 1.351178-5 3.917550-1 1.352842-5 3.431054-1 1.354795-5 3.032193-1 1.357005-5 2.899443-1 1.357996-5 2.922782-1 1.360846-5 3.286503-1 1.364397-5 3.946528-1 1.370514-5 5.996351-1 1.373870-5 6.911598-1 1.377244-5 7.424621-1 1.380617-5 7.543943-1 1.390242-5 7.108025-1 1.395501-5 7.538805-1 1.405293-5 8.815136-1 1.408942-5 8.754664-1 1.422489-5 7.312773-1 1.428488-5 7.165399-1 1.440104-5 7.541784-1 1.449071-5 7.513708-1 1.464736-5 7.267573-1 1.713181-5 8.648198-1 1.927525-5 1.053726+0 2.162719-5 1.337386+0 2.505164-5 1.861278+0 2.970657-5 2.719168+0 4.518559-5 5.907852+0 5.414969-5 7.294218+0 6.184417-5 8.183560+0 6.204459-5 8.464645+0 6.234076-5 1.150243+1 6.251254-5 1.455888+1 6.266523-5 1.850259+1 6.281994-5 2.373435+1 6.313647-5 3.627886+1 6.329607-5 4.153407+1 6.344285-5 4.444595+1 6.358631-5 4.500245+1 6.374439-5 4.264760+1 6.397417-5 3.533916+1 6.426332-5 2.495549+1 6.436064-5 2.195414+1 6.447845-5 1.921863+1 6.464508-5 1.739238+1 6.481661-5 1.760691+1 6.511044-5 2.101175+1 6.528940-5 2.443737+1 6.547101-5 2.666060+1 6.561445-5 2.729382+1 6.579605-5 2.621809+1 6.596923-5 2.369062+1 6.639259-5 1.551058+1 6.655019-5 1.302381+1 6.670779-5 1.119642+1 6.690479-5 9.806709+0 6.719585-5 8.516636+0 7.431866-5 8.970737+0 7.533658-5 9.661273+0 7.603313-5 9.933717+0 7.699788-5 9.845583+0 7.813234-5 1.024339+1 1.128000-4 1.017181+1 1.150552-4 1.103922+1 1.170434-4 1.058580+1 1.666767-4 9.892066+0 2.970009-4 6.942931+0 3.680059-4 5.725044+0 4.517925-4 4.661932+0 5.490257-4 3.771234+0 6.465841-4 3.119848+0 7.709285-4 2.517104+0 8.318920-4 2.292510+0 8.359872-4 3.269257+0 8.380348-4 4.083478+0 8.400824-4 5.319350+0 8.424874-4 7.380337+0 8.482728-4 1.332380+1 8.504405-4 1.495498+1 8.526561-4 1.572486+1 8.549310-4 1.546952+1 8.617514-4 1.273153+1 8.639989-4 1.254975+1 8.671800-4 1.307744+1 8.707723-4 1.384788+1 8.758384-4 1.382245+1 8.826087-4 1.308710+1 8.869576-4 1.332584+1 9.000000-4 1.519781+1 9.136561-4 1.553769+1 9.852680-4 1.416982+1 9.974493-4 1.456409+1 1.011406-3 1.525698+1 1.186441-3 1.235083+1 1.368982-3 1.011347+1 1.604688-3 7.999285+0 1.866387-3 6.355969+0 2.151242-3 5.079105+0 2.472916-3 4.058074+0 2.826799-3 3.257807+0 3.182439-3 2.673223+0 3.555242-3 2.217017+0 3.993983-3 1.816750+0 4.484111-3 1.487221+0 5.055335-3 1.205741+0 5.614024-3 1.002166+0 6.295968-3 8.176037-1 7.040088-3 6.692292-1 7.942387-3 5.382392-1 8.102195-3 5.253391-1 8.139922-3 5.555664-1 8.162526-3 6.037413-1 8.180036-3 6.699783-1 8.197052-3 7.685216-1 8.216630-3 9.327156-1 8.236952-3 1.167622+0 8.256459-3 1.455440+0 8.329466-3 2.755458+0 8.369353-3 3.293600+0 8.407157-3 3.574933+0 8.470000-3 3.707323+0 1.011579-2 2.834010+0 1.153238-2 2.281311+0 1.303167-2 1.862821+0 1.465225-2 1.521283+0 1.632407-2 1.261998+0 1.822595-2 1.037093+0 2.018366-2 8.635613-1 2.227424-2 7.210972-1 2.451110-2 6.043478-1 2.729913-2 4.940538-1 3.008581-2 4.111498-1 3.334724-2 3.376803-1 3.685399-2 2.784664-1 4.066592-2 2.297352-1 4.471180-2 1.906500-1 4.957252-2 1.554331-1 5.545738-2 1.241887-1 6.190222-2 9.957770-2 6.856779-2 8.089495-2 7.613603-2 6.538282-2 8.419110-2 5.319781-2 9.416079-2 4.226358-2 1.047901-1 3.392219-2 1.162938-1 2.738521-2 1.266421-1 2.297765-2 1.412505-1 1.834617-2 1.548463-1 1.517909-2 1.721161-1 1.222559-2 1.885766-1 1.015631-2 2.099846-1 8.173299-3 2.296751-1 6.832130-3 2.550906-1 5.551396-3 2.818383-1 4.578921-3 3.126079-1 3.759914-3 3.436510-1 3.153415-3 3.812852-1 2.612609-3 4.249998-1 2.162742-3 4.739819-1 1.801517-3 5.276473-1 1.516945-3 5.890556-1 1.282839-3 6.739687-1 1.058670-3 7.687431-1 8.924862-4 8.861352-1 7.539436-4 1.022000+0 6.463619-4 1.228714+0 5.331563-4 1.477239+0 4.397779-4 1.776032+0 3.627540-4 2.135261+0 2.992203-4 2.567148+0 2.468141-4 3.086391+0 2.035864-4 3.710658+0 1.679297-4 4.461192+0 1.385181-4 5.363532+0 1.142576-4 6.448384+0 9.424625-5 7.752663+0 7.773971-5 9.320751+0 6.412417-5 9.760024+0 6.111058-5 1.000000+1 1.220492-4 1 28000 7 0 5.871000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-2.789513+1 2.785901-6-2.670707+1 3.443119-6-2.490888+1 3.730588-6-2.292572+1 3.893133-6-2.072679+1 4.003491-6-1.809235+1 4.067853-6-1.562853+1 4.114465-6-1.301594+1 4.148614-6-1.033092+1 4.169296-6-8.195753+0 4.185130-6-6.174759+0 4.197253-6-4.313131+0 4.206535-6-2.640239+0 4.210325-6-1.879399+0 4.216957-6-4.135881-1 4.221932-6 8.228888-1 4.225663-6 1.848087+0 4.228461-6 2.686128+0 4.232658-6 4.094118+0 4.235806-6 5.349876+0 4.238159-6 6.535717+0 4.255105-6 1.344261+1 4.268141-6 2.023305+1 4.278569-6 2.646736+1 4.284638-6 3.109284+1 4.290907-6 3.482588+1 4.307894-6 4.021460+1 4.317448-6 4.066079+1 4.326694-6 3.854018+1 4.330712-6 3.611009+1 4.339805-6 2.860601+1 4.345196-6 2.291958+1 4.353029-6 1.243109+1 4.355994-6 7.848497+0 4.357641-6 4.780844+0 4.362583-6-3.657430+0 4.365440-6-8.799598+0 4.367395-6-1.280266+1 4.369231-6-1.680642+1 4.375029-6-2.807476+1 4.377999-6-2.164267+1 4.380117-6-1.680849+1 4.387217-6-2.750175+0 4.387913-6-1.271937+0 4.388262-6-4.905713-1 4.388939-6 1.205994+0 4.389578-6 2.601408+0 4.390775-6 4.997489+0 4.391822-6 6.970511+0 4.401047-6 2.335749+1 4.404830-6 2.886010+1 4.412759-6 3.860425+1 4.420099-6 4.445371+1 4.427664-6 4.789884+1 4.434996-6 4.865441+1 4.441323-6 4.698637+1 4.451865-6 4.103862+1 4.476574-6 2.477348+1 4.491400-6 1.680546+1 4.495038-6 1.409594+1 4.499044-6 1.177419+1 4.505027-6 9.114993+0 4.508997-6 7.631807+0 4.516891-6 5.114848+0 4.520815-6 4.025713+0 4.524723-6 3.025678+0 4.528617-6 2.102261+0 4.536373-6 4.446819-1 4.544069-6-1.002360+0 4.551704-6-2.280277+0 4.559280-6-3.419364+0 4.566797-6-4.442560+0 4.581654-6-6.208934+0 4.603509-6-8.333514+0 4.638918-6-1.095606+1 4.679642-6-1.316624+1 4.743382-6-1.560057+1 4.836172-6-1.791020+1 4.990978-6-2.019943+1 5.281229-6-2.240355+1 5.929600-6-2.459505+1 6.298171-6-2.605246+1 6.420461-6-2.804561+1 6.459440-6-2.784806+1 6.494750-6-2.568146+1 6.543506-6-2.228245+1 6.572760-6-2.159737+1 6.632133-6-2.256286+1 6.712610-6-2.391153+1 7.161414-6-2.582281+1 7.289345-6-2.450590+1 7.495146-6-2.545552+1 7.832306-6-2.540469+1 1.007715-5-2.702648+1 1.054489-5-2.818610+1 1.068020-5-2.655664+1 1.081813-5-2.351659+1 1.086706-5-2.401090+1 1.091802-5-2.635216+1 1.095043-5-2.827818+1 1.100865-5-2.523484+1 1.105938-5-2.414569+1 1.114519-5-2.312813+1 1.123309-5-2.068488+1 1.129446-5-2.005329+1 1.139023-5-2.147360+1 1.151376-5-2.329585+1 1.180120-5-2.466858+1 1.281137-5-2.682482+1 1.298367-5-2.716090+1 1.320685-5-2.571602+1 1.348394-5-2.535707+1 1.373870-5-2.617949+1 3.388442-5-2.797018+1 5.472657-5-2.799840+1 5.637821-5-2.768700+1 5.917871-5-2.543157+1 6.049497-5-2.320352+1 6.129734-5-2.058392+1 6.173014-5-1.797895+1 6.199218-5-1.522989+1 6.211023-5-1.325118+1 6.234076-5-1.002146+1 6.251254-5-7.301664+0 6.266523-5-5.323317+0 6.269863-5-5.018131+0 6.281994-5-4.347846+0 6.285951-5-4.364009+0 6.292442-5-4.708870+0 6.299731-5-5.496941+0 6.305819-5-6.485197+0 6.312179-5-7.911637+0 6.323149-5-1.124451+1 6.329607-5-1.377313+1 6.340562-5-1.865750+1 6.357101-5-2.709712+1 6.376342-5-1.793319+1 6.390614-5-1.318454+1 6.397417-5-1.154670+1 6.404895-5-1.032306+1 6.413668-5-9.518736+0 6.420071-5-9.433432+0 6.428344-5-9.783346+0 6.434381-5-1.045301+1 6.447109-5-1.247352+1 6.467461-5-1.670474+1 6.487161-5-2.016968+1 6.515177-5-2.219821+1 6.528515-5-2.147379+1 6.544146-5-1.916266+1 6.561445-5-1.549555+1 6.582284-5-1.105987+1 6.596923-5-8.546689+0 6.608383-5-7.363911+0 6.619491-5-6.714653+0 6.628140-5-6.500534+0 6.636479-5-6.566900+0 6.653049-5-7.428495+0 6.686539-5-1.032313+1 6.719585-5-1.302026+1 6.746096-5-1.465520+1 6.802938-5-1.653464+1 6.906046-5-1.830804+1 7.081188-5-1.974577+1 7.533658-5-2.161066+1 7.678085-5-2.117975+1 9.332543-5-1.948549+1 1.118455-4-1.850476+1 1.143823-4-1.859911+1 1.161536-4-1.771565+1 1.540000-4-1.498267+1 1.971386-4-1.277736+1 2.412682-4-1.135659+1 2.970009-4-1.032928+1 3.680059-4-9.733062+0 4.517925-4-9.601615+0 5.490257-4-9.975274+0 6.465841-4-1.094685+1 7.116784-4-1.215127+1 7.593968-4-1.365342+1 7.894748-4-1.523312+1 8.081961-4-1.682615+1 8.204004-4-1.848258+1 8.295389-4-1.774268+1 8.414299-4-1.447666+1 8.431690-4-1.443302+1 8.458109-4-1.539870+1 8.482728-4-1.736729+1 8.508376-4-2.053588+1 8.521465-4-2.231488+1 8.553204-4-1.935565+1 8.583961-4-1.797020+1 8.615689-4-1.781398+1 8.671800-4-1.855979+1 8.735705-4-1.733273+1 8.792768-4-1.643681+1 8.914935-4-1.693819+1 9.026800-4-1.544699+1 9.190100-4-1.331079+1 9.401691-4-1.167572+1 9.673265-4-1.041760+1 9.852680-4-1.013750+1 1.000208-3-1.009537+1 1.021300-3-8.430162+0 1.044582-3-7.315051+0 1.081553-3-6.083992+0 1.130728-3-4.899604+0 1.186441-3-3.902263+0 1.239209-3-3.168626+0 1.294852-3-2.559731+0 1.351512-3-2.063123+0 1.418494-3-1.590805+0 1.496077-3-1.172485+0 1.547639-3-9.516264-1 1.604688-3-7.555178-1 1.647855-3-6.314072-1 1.721155-3-4.556409-1 1.757924-3-3.813559-1 1.808123-3-2.957914-1 1.880941-3-1.939945-1 1.933081-3-1.342110-1 1.978820-3-9.116281-2 2.009129-3-6.753137-2 2.023189-3-5.791192-2 2.061087-3-3.565184-2 2.094426-3-1.955216-2 2.104129-3-1.512433-2 2.128848-3-4.861709-3 2.140536-3-4.223375-4 2.144029-3 9.114012-4 2.151242-3 3.491806-3 2.198480-3 1.932320-2 2.219744-3 2.551517-2 2.271376-3 3.599821-2 2.296877-3 3.971886-2 2.365121-3 4.698659-2 2.390379-3 4.850373-2 2.445893-3 4.867486-2 2.535931-3 4.432875-2 2.559322-3 4.208077-2 2.620822-3 3.373951-2 2.700941-3 1.914280-2 2.768242-3 5.567954-3 2.794560-3-3.916171-5 2.796594-3-4.692660-4 2.799360-3-1.074478-3 2.826799-3-7.271997-3 2.978264-3-4.750080-2 3.166084-3-1.042052-1 3.555242-3-2.344760-1 5.834530-3-1.040727+0 6.510149-3-1.332392+0 7.040088-3-1.638339+0 7.379766-3-1.912029+0 7.639899-3-2.207792+0 7.866495-3-2.596483+0 7.988064-3-2.915321+0 8.089361-3-3.329442+0 8.162526-3-3.850398+0 8.267003-3-4.887170+0 8.307942-3-4.984749+0 8.350064-3-4.736707+0 8.451158-3-3.612115+0 8.503078-3-3.185549+0 8.573341-3-2.790863+0 8.699990-3-2.316435+0 8.835424-3-1.959413+0 9.026221-3-1.595525+0 9.260981-3-1.268585+0 9.504830-3-1.010882+0 9.804067-3-7.669795-1 1.011579-2-5.692727-1 1.036091-2-4.432942-1 1.057956-2-3.466676-1 1.078633-2-2.700950-1 1.106641-2-1.805309-1 1.121577-2-1.384369-1 1.137408-2-9.767212-2 1.153238-2-6.029154-2 1.175337-2-1.480709-2 1.181480-2-3.672874-3 1.202414-2 3.447279-2 1.237371-2 8.980508-2 1.269916-2 1.330985-1 1.303167-2 1.718260-1 1.333521-2 2.017472-1 1.394360-2 2.475819-1 1.465225-2 2.848335-1 1.572906-2 3.192684-1 1.728565-2 3.421037-1 1.873174-2 3.438674-1 2.227424-2 3.181798-1 3.128695-2 2.187383-1 3.685399-2 1.686907-1 4.343935-2 1.231912-1 4.795662-2 9.859906-2 5.394416-2 7.212410-2 5.881025-2 5.463318-2 6.456906-2 3.764543-2 6.856779-2 2.761630-2 7.317127-2 1.763212-2 7.613603-2 1.193171-2 7.937569-2 6.294904-3 8.105308-2 3.571628-3 8.265782-2 1.074192-3 8.332330-2 7.746387-5 8.419110-2-1.217648-3 8.634902-2-4.241081-3 9.023995-2-9.295561-3 9.610840-2-1.600758-2 1.047901-1-2.426185-2 1.162938-1-3.287798-2 1.298487-1-4.066164-2 1.499862-1-4.904172-2 1.765489-1-5.650403-2 2.231208-1-6.432301-2 3.020152-1-7.075757-2 4.570882-1-7.548084-2 9.120108-1-7.841746-2 2.814822+0-7.930929-2 8.500626+0-7.940234-2 1.000000+1-7.938898-2 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.824192-3 1.113973-6 6.062953-3 1.184684-6 7.919813-3 1.259884-6 1.041001-2 1.339857-6 1.377103-2 1.417889-6 1.791767-2 1.491120-6 2.276377-2 1.559845-6 2.835246-2 1.625366-6 3.478476-2 1.686792-6 4.194960-2 1.744379-6 4.985954-2 1.798367-6 5.849665-2 1.848980-6 6.783478-2 1.896431-6 7.784038-2 1.940915-6 8.847338-2 1.982619-6 9.968873-2 2.092734-6 1.360971-1 2.157165-6 1.626813-1 2.213543-6 1.902207-1 2.262873-6 2.182447-1 2.306036-6 2.462860-1 2.343805-6 2.739443-1 2.376852-6 3.010947-1 2.434685-6 3.554001-1 2.478059-6 4.027029-1 2.510590-6 4.430109-1 2.559387-6 5.120796-1 2.627442-6 6.278189-1 2.678800-6 7.355020-1 2.723738-6 8.479739-1 2.779485-6 1.016362+0 2.811666-6 1.130403+0 2.835801-6 1.226423+0 2.872005-6 1.389363+0 2.922525-6 1.660366+0 2.958315-6 1.892637+0 2.994106-6 2.167021+0 3.029897-6 2.493624+0 3.051372-6 2.720320+0 3.085585-6 3.136676+0 3.117660-6 3.600845+0 3.147730-6 4.118974+0 3.175920-6 4.696441+0 3.202349-6 5.338360+0 3.227126-6 6.050020+0 3.250355-6 6.836924+0 3.272131-6 7.704767+0 3.292547-6 8.659418+0 3.311686-6 9.706892+0 3.329630-6 1.085332+1 3.346452-6 1.210492+1 3.362222-6 1.346795+1 3.377007-6 1.494869+1 3.390868-6 1.655339+1 3.403862-6 1.828826+1 3.416045-6 2.015940+1 3.427466-6 2.217285+1 3.438173-6 2.433451+1 3.448211-6 2.665025+1 3.457622-6 2.912586+1 3.466444-6 3.176715+1 3.474715-6 3.457991+1 3.482469-6 3.757012+1 3.489739-6 4.074404+1 3.496554-6 4.410847+1 3.502943-6 4.767088+1 3.508933-6 5.143945+1 3.514548-6 5.542279+1 3.519813-6 5.962945+1 3.529684-6 6.907349+1 3.538321-6 7.954385+1 3.545878-6 9.101881+1 3.552491-6 1.033998+2 3.558277-6 1.165150+2 3.563340-6 1.301389+2 3.567770-6 1.440190+2 3.571647-6 1.579024+2 3.575038-6 1.715565+2 3.580974-6 1.993171+2 3.588764-6 2.445240+2 3.599888-6 3.302488+2 3.612067-6 4.590109+2 3.616496-6 5.160631+2 3.623140-6 6.124256+2 3.629709-6 7.204213+2 3.634212-6 8.014565+2 3.636427-6 8.432698+2 3.643070-6 9.756796+2 3.648694-6 1.094578+3 3.650649-6 1.137005+3 3.657628-6 1.291327+3 3.662514-6 1.400037+3 3.666562-6 1.489014+3 3.670488-6 1.573198+3 3.674897-6 1.663887+3 3.678579-6 1.735424+3 3.683314-6 1.820222+3 3.688898-6 1.907516+3 3.692806-6 1.959015+3 3.698041-6 2.013948+3 3.702129-6 2.044705+3 3.707823-6 2.068649+3 3.710578-6 2.072089+3 3.719329-6 2.047519+3 3.721772-6 2.031213+3 3.728542-6 1.965761+3 3.732796-6 1.910561+3 3.738035-6 1.829462+3 3.741961-6 1.760496+3 3.746370-6 1.676144+3 3.750052-6 1.601187+3 3.754786-6 1.500384+3 3.759253-6 1.402337+3 3.763720-6 1.303053+3 3.768187-6 1.204011+3 3.772654-6 1.106542+3 3.775939-6 1.036557+3 3.781588-6 9.208189+2 3.790523-6 7.529894+2 3.796525-6 6.524505+2 3.803924-6 5.430305+2 3.812592-6 4.351247+2 3.829213-6 2.836748+2 3.835771-6 2.407870+2 3.840000-6 2.172628+2 3.845524-6 1.907820+2 3.851967-6 1.651144+2 3.858360-6 1.442633+2 3.864703-6 1.272731+2 3.870996-6 1.133533+2 3.877240-6 1.018630+2 3.883435-6 9.229181+1 3.889582-6 8.423846+1 3.895681-6 7.739067+1 3.901732-6 7.150697+1 3.907736-6 6.640111+1 3.919650-6 5.795077+1 3.931378-6 5.127297+1 3.942923-6 4.586244+1 3.954287-6 4.139285+1 3.965474-6 3.764354+1 3.976486-6 3.445898+1 3.987326-6 3.172566+1 3.997996-6 2.935831+1 4.008500-6 2.729141+1 4.018840-6 2.547369+1 4.039196-6 2.240978+1 4.058916-6 1.995840+1 4.078020-6 1.795970+1 4.096527-6 1.630495+1 4.114455-6 1.491725+1 4.131823-6 1.374048+1 4.148649-6 1.273275+1 4.164948-6 1.186208+1 4.180739-6 1.110351+1 4.211332-6 9.829979+0 4.240014-6 8.825494+0 4.266903-6 8.017008+0 4.292111-6 7.355966+0 4.315744-6 6.808072+0 4.337900-6 6.348055+0 4.379442-6 5.599106+0 4.415792-6 5.041821+0 4.447598-6 4.616318+0 4.475428-6 4.284407+0 4.524130-6 3.776845+0 4.615448-6 3.015876+0 4.796685-6 1.964064+0 4.900142-6 1.534854+0 5.095243-6 8.896277-1 5.141801-6 7.527185-1 5.182540-6 6.395106-1 5.218186-6 5.434775-1 5.249377-6 4.609830-1 5.276668-6 3.897710-1 5.300548-6 3.282654-1 5.321443-6 2.753362-1 5.339727-6 2.301706-1 5.355724-6 1.921718-1 5.369723-6 1.608764-1 5.381971-6 1.358885-1 5.392688-6 1.168283-1 5.402066-6 1.032869-1 5.410271-6 9.479394-2 5.417451-6 9.080339-2 5.423733-6 9.070229-2 5.429230-6 9.383706-2 5.434040-6 9.954829-2 5.438249-6 1.072048-1 5.441931-6 1.162309-1 5.445154-6 1.261238-1 5.447973-6 1.364619-1 5.450440-6 1.469055-1 5.452599-6 1.571911-1 5.456140-6 1.765655-1 5.459959-6 2.012411-1 5.467020-6 2.585415-1 5.478934-6 3.961426-1 5.480834-6 4.235482-1 5.494625-6 6.749634-1 5.499971-6 7.996110-1 5.505118-6 9.351265-1 5.509274-6 1.056014+0 5.515527-6 1.257366+0 5.520139-6 1.420878+0 5.524965-6 1.605284+0 5.531092-6 1.858070+0 5.534897-6 2.024829+0 5.537316-6 2.134443+0 5.545648-6 2.530519+0 5.551512-6 2.822950+0 5.556344-6 3.069448+0 5.561645-6 3.342706+0 5.567361-6 3.636951+0 5.572301-6 3.887601+0 5.577557-6 4.147194+0 5.582557-6 4.384153+0 5.588518-6 4.649676+0 5.590747-6 4.743320+0 5.597961-6 5.021563+0 5.603180-6 5.196115+0 5.610055-6 5.387456+0 5.613218-6 5.459643+0 5.625999-6 5.642968+0 5.630702-6 5.665525+0 5.633693-6 5.667302+0 5.642664-6 5.615469+0 5.646393-6 5.569683+0 5.652736-6 5.461316+0 5.655326-6 5.406688+0 5.659859-6 5.297717+0 5.665808-6 5.131152+0 5.671545-6 4.948484+0 5.678248-6 4.712440+0 5.683038-6 4.531837+0 5.690411-6 4.239879+0 5.692868-6 4.139866+0 5.700456-6 3.826411+0 5.706349-6 3.581513+0 5.713193-6 3.299879+0 5.719831-6 3.033103+0 5.736871-6 2.396982+0 5.746793-6 2.068474+0 5.754453-6 1.838685+0 5.765649-6 1.540808+0 5.787094-6 1.089479+0 5.807302-6 7.856714-1 5.826267-6 5.811293-1 5.861297-6 3.360586-1 5.877188-6 2.609671-1 5.936780-6 8.923875-2 5.959126-6 5.642334-2 5.968903-6 4.638117-2 5.978069-6 3.913300-2 5.986662-6 3.412569-2 5.994717-6 3.093115-2 6.002270-6 2.923027-2 6.009350-6 2.879429-2 6.015987-6 2.946501-2 6.022113-6 3.110105-2 6.030602-6 3.522360-2 6.036430-6 3.952098-2 6.044163-6 4.746390-2 6.048555-6 5.332179-2 6.052742-6 5.996598-2 6.056668-6 6.725275-2 6.060348-6 7.512329-2 6.067033-6 9.235980-2 6.078405-6 1.323217-1 6.090667-6 1.949924-1 6.101555-6 2.732563-1 6.110304-6 3.559211-1 6.119584-6 4.675807-1 6.138404-6 7.940582-1 6.145659-6 9.661218-1 6.155210-6 1.243008+0 6.164772-6 1.589152+0 6.176069-6 2.107588+0 6.187366-6 2.772514+0 6.194897-6 3.313915+0 6.205553-6 4.239161+0 6.213544-6 5.074139+0 6.224033-6 6.381452+0 6.233726-6 7.829850+0 6.240993-6 9.082463+0 6.249839-6 1.081421+1 6.258511-6 1.274199+1 6.266077-6 1.461435+1 6.270519-6 1.579532+1 6.282274-6 1.920122+1 6.288817-6 2.125911+1 6.300335-6 2.511384+1 6.305513-6 2.692030+1 6.315398-6 3.043961+1 6.322110-6 3.284120+1 6.327349-6 3.469621+1 6.334836-6 3.728013+1 6.342657-6 3.984230+1 6.349371-6 4.188310+1 6.355813-6 4.366601+1 6.362931-6 4.539658+1 6.370460-6 4.691107+1 6.377704-6 4.802439+1 6.384964-6 4.877350+1 6.391788-6 4.912514+1 6.407618-6 4.859277+1 6.413228-6 4.795985+1 6.416113-6 4.754795+1 6.424768-6 4.598006+1 6.430237-6 4.475133+1 6.435199-6 4.349392+1 6.442289-6 4.148992+1 6.449127-6 3.936463+1 6.455604-6 3.721580+1 6.461114-6 3.531277+1 6.468199-6 3.280423+1 6.475876-6 3.006026+1 6.483553-6 2.734807+1 6.492189-6 2.440472+1 6.498906-6 2.223911+1 6.518711-6 1.677370+1 6.523791-6 1.564292+1 6.531411-6 1.418326+1 6.535221-6 1.356430+1 6.539031-6 1.302125+1 6.544597-6 1.236634+1 6.548846-6 1.197784+1 6.555047-6 1.158406+1 6.557925-6 1.147063+1 6.561004-6 1.139735+1 6.571332-6 1.150513+1 6.575179-6 1.167926+1 6.579470-6 1.195487+1 6.583863-6 1.232186+1 6.588858-6 1.283745+1 6.595127-6 1.362121+1 6.602904-6 1.478046+1 6.625582-6 1.900628+1 6.634900-6 2.093454+1 6.638538-6 2.169229+1 6.647951-6 2.362349+1 6.655049-6 2.501749+1 6.663118-6 2.649611+1 6.669887-6 2.762243+1 6.686174-6 2.978635+1 6.688025-6 2.997666+1 6.700981-6 3.095911+1 6.704870-6 3.113112+1 6.712636-6 3.130299+1 6.717642-6 3.129382+1 6.725699-6 3.108797+1 6.731085-6 3.082487+1 6.735124-6 3.056532+1 6.744211-6 2.980144+1 6.747241-6 2.949598+1 6.755249-6 2.858094+1 6.763257-6 2.753142+1 6.777305-6 2.545022+1 6.779311-6 2.513494+1 6.795404-6 2.252412+1 6.799843-6 2.179392+1 6.813163-6 1.963221+1 6.830011-6 1.705221+1 6.866533-6 1.245242+1 6.874952-6 1.160982+1 6.887473-6 1.050136+1 6.898914-6 9.628510+0 6.917823-6 8.440954+0 6.932292-6 7.710955+0 6.951980-6 6.911108+0 6.969486-6 6.342705+0 6.987979-6 5.849700+0 7.004873-6 5.471467+0 7.016547-6 5.241401+0 7.039279-6 4.850539+0 7.065132-6 4.476581+0 7.086530-6 4.210174+0 7.102772-6 4.028840+0 7.131540-6 3.743634+0 7.171111-6 3.410589+0 7.207905-6 3.147651+0 7.240626-6 2.942927+0 7.296336-6 2.642907+0 7.367995-6 2.323086+0 7.547145-6 1.711783+0 7.690366-6 1.320837+0 7.783633-6 1.085290+0 7.839594-6 9.448430-1 7.876900-6 8.488563-1 7.914207-6 7.490289-1 7.932860-6 6.971506-1 7.951514-6 6.438270-1 7.982606-6 5.524293-1 8.005925-6 4.840754-1 8.036531-6 4.029835-1 8.046369-6 3.816764-1 8.053747-6 3.681089-1 8.064815-6 3.526900-1 8.070349-6 3.476438-1 8.075882-6 3.446654-1 8.080616-6 3.439329-1 8.085349-6 3.450306-1 8.090792-6 3.487507-1 8.097003-6 3.564931-1 8.115638-6 4.053923-1 8.120395-6 4.247830-1 8.125152-6 4.472438-1 8.127639-6 4.602513-1 8.140699-6 5.433742-1 8.148629-6 6.064380-1 8.174141-6 8.750230-1 8.185798-6 1.029281+0 8.193953-6 1.147393+0 8.200909-6 1.253793+0 8.209071-6 1.384061+0 8.215027-6 1.481952+0 8.221948-6 1.597693+0 8.229411-6 1.723587+0 8.238168-6 1.870687+0 8.245802-6 1.996421+0 8.255130-6 2.144183+0 8.263584-6 2.269973+0 8.268035-6 2.332277+0 8.276197-6 2.438222+0 8.284360-6 2.531880+0 8.285604-6 2.544970+0 8.304261-6 2.699656+0 8.311918-6 2.738904+0 8.324162-6 2.770873+0 8.329554-6 2.772933+0 8.335709-6 2.766494+0 8.340324-6 2.755686+0 8.347248-6 2.730276+0 8.354171-6 2.694483+0 8.363685-6 2.630004+0 8.372859-6 2.553404+0 8.385375-6 2.431239+0 8.399168-6 2.281630+0 8.437766-6 1.870372+0 8.447272-6 1.788639+0 8.458382-6 1.709739+0 8.463537-6 1.679974+0 8.478999-6 1.618986+0 8.485167-6 1.606911+0 8.491909-6 1.601737+0 8.498027-6 1.604160+0 8.503379-6 1.611653+0 8.512161-6 1.634223+0 8.519333-6 1.661388+0 8.528745-6 1.707485+0 8.540847-6 1.780867+0 8.573060-6 2.014110+0 8.584657-6 2.096193+0 8.602696-6 2.205125+0 8.609783-6 2.238908+0 8.623313-6 2.285715+0 8.633754-6 2.304194+0 8.643721-6 2.306549+0 8.653689-6 2.293745+0 8.661557-6 2.273102+0 8.667458-6 2.251735+0 8.676310-6 2.210732+0 8.685161-6 2.159805+0 8.695469-6 2.089471+0 8.705778-6 2.009206+0 8.721240-6 1.875106+0 8.731320-6 1.782150+0 8.747010-6 1.634811+0 8.788291-6 1.283073+0 8.798165-6 1.215622+0 8.813686-6 1.127370+0 8.819057-6 1.102223+0 8.835169-6 1.043903+0 8.842729-6 1.025305+0 8.849345-6 1.013464+0 8.855134-6 1.006354+0 8.865264-6 1.000745+0 8.872862-6 1.001747+0 8.878560-6 1.005106+0 8.891381-6 1.019545+0 8.908376-6 1.049257+0 8.938552-6 1.111057+0 8.945699-6 1.124006+0 8.967531-6 1.152231+0 8.973001-6 1.155885+0 8.989413-6 1.157168+0 8.994300-6 1.154633+0 9.002852-6 1.146974+0 9.009266-6 1.138616+0 9.018888-6 1.122147+0 9.028509-6 1.101457+0 9.047543-6 1.051062+0 9.091515-6 9.238109-1 9.114438-6 8.770380-1 9.123038-6 8.662801-1 9.139455-6 8.579426-1 9.144130-6 8.586375-1 9.158156-6 8.689195-1 9.168568-6 8.841962-1 9.177072-6 9.010930-1 9.188233-6 9.285402-1 9.202583-6 9.707915-1 9.227779-6 1.055082+0 9.252778-6 1.136267+0 9.272221-6 1.187448+0 9.281185-6 1.205727+0 9.298300-6 1.229639+0 9.304495-6 1.234553+0 9.315337-6 1.238326+0 9.323468-6 1.237225+0 9.336993-6 1.228431+0 9.347861-6 1.215727+0 9.367198-6 1.183269+0 9.383325-6 1.149624+0 9.427766-6 1.051148+0 9.439950-6 1.027639+0 9.472208-6 9.804831-1 9.484771-6 9.686864-1 9.502146-6 9.581910-1 9.518266-6 9.537297-1 9.548746-6 9.551661-1 9.601878-6 9.674447-1 9.618447-6 9.694497-1 9.645186-6 9.687558-1 9.668372-6 9.641671-1 9.707642-6 9.500696-1 9.781528-6 9.182275-1 9.820986-6 9.053445-1 9.875618-6 8.944082-1 9.965718-6 8.868297-1 1.018108-5 8.726260-1 1.041631-5 8.539650-1 1.074501-5 8.345165-1 1.091290-5 8.269693-1 1.113485-5 8.219205-1 1.138740-5 8.207727-1 1.161232-5 8.230465-1 1.184989-5 8.301259-1 1.234522-5 8.546113-1 1.277179-5 8.886296-1 1.316345-5 9.299016-1 1.390549-5 1.029926+0 1.451000-5 1.135532+0 1.484757-5 1.201843+0 1.577494-5 1.410492+0 1.673179-5 1.673104+0 1.777753-5 2.005480+0 2.317395-5 4.547162+0 2.800000-5 8.022083+0 2.960798-5 9.446903+0 3.276800-5 1.267678+1 3.589219-5 1.637189+1 3.715352-5 1.800805+1 4.073803-5 2.305076+1 4.415704-5 2.833933+1 4.746000-5 3.378374+1 5.069907-5 3.932202+1 5.463865-5 4.611611+1 5.659921-5 4.943870+1 5.843386-5 5.254852+1 6.070785-5 5.621123+1 6.266227-5 5.920552+1 6.480000-5 6.221462+1 6.618140-5 6.383433+1 6.711000-5 6.466294+1 6.789103-5 6.518128+1 6.815398-5 6.544479+1 6.840019-5 6.593503+1 6.857850-5 6.657922+1 6.872883-5 6.741308+1 6.885702-5 6.839925+1 6.902810-5 7.019762+1 6.914438-5 7.177865+1 6.933283-5 7.500787+1 6.942150-5 7.681409+1 6.957215-5 8.027435+1 6.999778-5 9.181196+1 7.018146-5 9.684761+1 7.034357-5 1.008400+2 7.042008-5 1.024885+2 7.056653-5 1.050936+2 7.070844-5 1.068085+2 7.078320-5 1.073588+2 7.093175-5 1.077039+2 7.098481-5 1.075886+2 7.111664-5 1.067907+2 7.127729-5 1.049512+2 7.142600-5 1.026043+2 7.167208-5 9.803418+1 7.195811-5 9.297323+1 7.210580-5 9.092894+1 7.220132-5 8.989904+1 7.238105-5 8.864386+1 7.248297-5 8.832596+1 7.263912-5 8.833822+1 7.285525-5 8.913190+1 7.325979-5 9.157083+1 7.348857-5 9.262364+1 7.367325-5 9.302358+1 7.388860-5 9.295220+1 7.424683-5 9.197247+1 7.446520-5 9.128196+1 7.475775-5 9.076533+1 7.504383-5 9.095234+1 7.533587-5 9.176506+1 7.607452-5 9.456651+1 7.692889-5 9.734038+1 7.727115-5 9.886810+1 7.805334-5 1.033562+2 7.844375-5 1.054705+2 7.871088-5 1.066760+2 7.909663-5 1.080614+2 7.973048-5 1.097576+2 8.069840-5 1.118912+2 8.137828-5 1.131571+2 8.297071-5 1.155697+2 8.455886-5 1.175857+2 8.634754-5 1.195002+2 9.075174-5 1.233276+2 9.748146-5 1.285477+2 1.120252-4 1.398436+2 1.150570-4 1.412534+2 1.159471-4 1.426635+2 1.165543-4 1.445403+2 1.178617-4 1.500605+2 1.183598-4 1.518172+2 1.189031-4 1.531688+2 1.194547-4 1.540378+2 1.217107-4 1.567512+2 1.310000-4 1.697894+2 1.419777-4 1.834770+2 1.540000-4 1.971154+2 1.690928-4 2.118132+2 1.838073-4 2.241137+2 1.966080-4 2.334672+2 2.104195-4 2.423239+2 2.238721-4 2.496514+2 2.396500-4 2.569812+2 2.555642-4 2.630450+2 2.735875-4 2.685222+2 2.904575-4 2.725717+2 3.117095-4 2.764139+2 3.359310-4 2.794055+2 3.590745-4 2.810814+2 3.791606-4 2.816566+2 4.062246-4 2.814567+2 4.374000-4 2.801358+2 4.671017-4 2.779405+2 4.968648-4 2.749473+2 5.324146-4 2.704478+2 5.631512-4 2.656391+2 5.982650-4 2.591524+2 6.275120-4 2.528212+2 6.651484-4 2.432521+2 7.003311-4 2.324612+2 7.274896-4 2.229538+2 7.557683-4 2.116844+2 7.818528-4 1.997371+2 8.038780-4 1.880983+2 8.222426-4 1.769648+2 8.380601-4 1.660826+2 8.528697-4 1.544484+2 8.659643-4 1.426788+2 8.766223-4 1.317491+2 8.851163-4 1.218823+2 8.923739-4 1.123853+2 8.974254-4 1.050192+2 9.029793-4 9.598207+1 9.076277-4 8.749325+1 9.115488-4 7.963975+1 9.141503-4 7.414484+1 9.162838-4 6.955479+1 9.194983-4 6.273613+1 9.233825-4 5.531493+1 9.244649-4 5.354861+1 9.253847-4 5.219013+1 9.263434-4 5.093282+1 9.273484-4 4.980938+1 9.282628-4 4.897773+1 9.292257-4 4.831518+1 9.302390-4 4.787133+1 9.314740-4 4.770512+1 9.323159-4 4.783971+1 9.333217-4 4.827394+1 9.342892-4 4.897932+1 9.354493-4 5.020274+1 9.364626-4 5.160998+1 9.379637-4 5.427077+1 9.389073-4 5.628872+1 9.400538-4 5.908814+1 9.415184-4 6.319668+1 9.430561-4 6.811446+1 9.478918-4 8.705677+1 9.500750-4 9.702808+1 9.524150-4 1.084719+2 9.549914-4 1.217856+2 9.565757-4 1.302544+2 9.587000-4 1.418415+2 9.603315-4 1.508482+2 9.617446-4 1.586742+2 9.630000-4 1.656129+2 9.657000-4 1.803607+2 9.682500-4 1.938800+2 9.704256-4 2.049534+2 9.740650-4 2.222662+2 9.775625-4 2.372662+2 9.809648-4 2.502397+2 9.840000-4 2.605040+2 9.882500-4 2.729711+2 9.924731-4 2.834280+2 9.975000-4 2.937843+2 1.002025-3 3.015271+2 1.006506-3 3.080282+2 1.013731-3 3.166992+2 1.020511-3 3.234028+2 1.028123-3 3.297318+2 1.037073-3 3.357432+2 1.045250-3 3.398184+2 1.054044-3 3.426497+2 1.066391-3 3.459640+2 1.071136-3 3.486601+2 1.075844-3 3.530579+2 1.079351-3 3.576072+2 1.086279-3 3.692977+2 1.095717-3 3.872026+2 1.101184-3 3.964300+2 1.107377-3 4.050364+2 1.115018-3 4.132264+2 1.123663-3 4.203607+2 1.135011-3 4.280097+2 1.151705-3 4.376634+2 1.183000-3 4.524902+2 1.219426-3 4.663124+2 1.257449-3 4.776580+2 1.305630-3 4.885789+2 1.372113-3 4.993274+2 1.439945-3 5.068400+2 1.482333-3 5.097870+2 1.591750-3 5.125199+2 1.700670-3 5.113823+2 1.858769-3 5.059414+2 2.028747-3 4.976954+2 2.312397-3 4.784852+2 2.462145-3 4.675977+2 2.731205-3 4.470227+2 3.067035-3 4.214352+2 3.417826-3 3.956177+2 3.713634-3 3.749895+2 4.110007-3 3.483374+2 4.561025-3 3.203602+2 4.923591-3 2.993307+2 5.349888-3 2.762926+2 5.751165-3 2.562378+2 6.241123-3 2.336274+2 6.494936-3 2.226236+2 6.758170-3 2.116440+2 6.989961-3 2.022989+2 7.200146-3 1.940352+2 7.550636-3 1.805167+2 7.841064-3 1.693337+2 8.075070-3 1.600109+2 8.171126-3 1.560077+2 8.263482-3 1.519951+2 8.345552-3 1.482397+2 8.420321-3 1.446004+2 8.521302-3 1.391758+2 8.571219-3 1.361571+2 8.618460-3 1.329759+2 8.658329-3 1.299428+2 8.692814-3 1.269815+2 8.731592-3 1.232211+2 8.787292-3 1.171603+2 8.845893-3 1.109528+2 8.875563-3 1.085331+2 8.894065-3 1.074569+2 8.914140-3 1.067468+2 8.932130-3 1.065514+2 8.956133-3 1.069539+2 8.977490-3 1.079155+2 9.000770-3 1.095209+2 9.035797-3 1.127283+2 9.100442-3 1.195293+2 9.142201-3 1.235332+2 9.170687-3 1.258728+2 9.200194-3 1.279406+2 9.225622-3 1.294548+2 9.256677-3 1.310155+2 9.287451-3 1.323053+2 9.329388-3 1.337441+2 9.420047-3 1.359897+2 9.535413-3 1.377620+2 9.660413-3 1.388299+2 9.797188-3 1.393522+2 9.976908-3 1.393602+2 1.022022-2 1.385677+2 1.050317-2 1.369220+2 1.088675-2 1.340411+2 1.138274-2 1.295715+2 1.206250-2 1.230351+2 1.289408-2 1.150867+2 1.383893-2 1.066573+2 1.497764-2 9.744785+1 1.650358-2 8.667325+1 1.827619-2 7.622613+1 2.046903-2 6.563315+1 2.291153-2 5.610675+1 2.536960-2 4.831242+1 2.825998-2 4.090784+1 3.594702-2 2.781406+1 3.962413-2 2.369081+1 5.715315-2 1.270182+1 7.338720-2 8.221899+0 8.885546-2 5.858289+0 1.068427-1 4.199811+0 1.279423-1 3.008539+0 1.626648-1 1.912915+0 2.153789-1 1.118739+0 2.943405-1 6.113052-1 4.231974-1 3.002692-1 6.433730-1 1.311663-1 1.286622+0 3.299701-2 3.885536+0 3.624905-3 1.173413+1 3.975465-4 3.543651+1 4.359111-5 1.070165+2 4.779683-6 3.231848+2 5.240819-7 9.760024+2 5.746444-8 3.162278+3 5.473952-9 1.000000+4 5.47395-10 3.162278+4 5.47395-11 1.000000+5 5.47395-12 1 29000 7 7 6.354000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 7.875500-7 1.258900-6 1.248200-6 1.584900-6 1.978200-6 1.995300-6 3.135300-6 2.511900-6 4.969100-6 3.162300-6 7.875400-6 3.981100-6 1.248200-5 5.011900-6 1.978200-5 6.309600-6 3.135200-5 7.943300-6 4.968900-5 1.000000-5 7.875100-5 1.258900-5 1.248100-4 1.584900-5 1.977600-4 1.995300-5 3.133300-4 2.511900-5 4.964500-4 3.162300-5 7.866500-4 3.981100-5 1.246500-3 5.011900-5 1.975400-3 6.309600-5 3.130300-3 7.943300-5 4.955900-3 1.000000-4 7.844100-3 1.258900-4 1.241800-2 1.584900-4 1.962600-2 1.995300-4 3.099700-2 2.511900-4 4.883700-2 3.162300-4 7.669800-2 3.981100-4 1.198200-1 5.011900-4 1.855200-1 6.309600-4 2.835200-1 7.943300-4 4.256800-1 1.000000-3 6.248900-1 1.258900-3 8.925800-1 1.584900-3 1.239100+0 1.995300-3 1.678000+0 2.511900-3 2.228000+0 3.162300-3 2.905400+0 3.981100-3 3.719500+0 5.011900-3 4.664700+0 6.309600-3 5.742800+0 7.943300-3 6.937200+0 1.000000-2 8.208000+0 1.258900-2 9.468500+0 1.584900-2 1.063300+1 1.995300-2 1.165900+1 2.511900-2 1.249700+1 3.162300-2 1.321600+1 3.981100-2 1.367600+1 5.011900-2 1.389900+1 6.309600-2 1.390800+1 7.943300-2 1.371500+1 1.000000-1 1.335000+1 1.258900-1 1.285300+1 1.584900-1 1.221800+1 1.995300-1 1.149800+1 2.511900-1 1.072200+1 3.162300-1 9.919600+0 3.981100-1 9.113600+0 5.011900-1 8.320600+0 6.309600-1 7.550700+0 7.943300-1 6.809600+0 1.000000+0 6.108800+0 1.258900+0 5.445100+0 1.584900+0 4.823200+0 1.995300+0 4.245400+0 2.511900+0 3.713400+0 3.162300+0 3.228300+0 3.981100+0 2.790100+0 5.011900+0 2.398100+0 6.309600+0 2.050500+0 7.943300+0 1.744800+0 1.000000+1 1.478200+0 1.258900+1 1.247200+0 1.584900+1 1.048600+0 1.995300+1 8.786100-1 2.511900+1 7.340100-1 3.162300+1 6.115500-1 3.981100+1 5.082800-1 5.011900+1 4.215100-1 6.309600+1 3.488600-1 7.943300+1 2.882000-1 1.000000+2 2.377000-1 1.258900+2 1.957500-1 1.584900+2 1.609800-1 1.995300+2 1.322200-1 2.511900+2 1.084700-1 3.162300+2 8.888700-2 3.981100+2 7.276800-2 5.011900+2 5.951600-2 6.309600+2 4.863500-2 7.943300+2 3.971100-2 1.000000+3 3.239900-2 1.258900+3 2.641500-2 1.584900+3 2.152100-2 1.995300+3 1.752300-2 2.511900+3 1.425800-2 3.162300+3 1.159600-2 3.981100+3 9.424800-3 5.011900+3 7.656400-3 6.309600+3 6.216800-3 7.943300+3 5.045400-3 1.000000+4 4.092900-3 1.258900+4 3.318700-3 1.584900+4 2.689800-3 1.995300+4 2.179300-3 2.511900+4 1.764900-3 3.162300+4 1.428800-3 3.981100+4 1.156300-3 5.011900+4 9.354800-4 6.309600+4 7.565600-4 7.943300+4 6.116500-4 1.000000+5 4.943500-4 1 29000 7 7 6.354000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159549-4 3.981072-4 3.976755-4 5.011872-4 5.005054-4 6.309573-4 6.298822-4 7.943282-4 7.926363-4 1.000000-3 9.973437-4 1.258925-3 1.254767-3 1.584893-3 1.578384-3 1.995262-3 1.985095-3 2.511886-3 2.495991-3 3.162278-3 3.137411-3 3.981072-3 3.942270-3 5.011872-3 4.951242-3 6.309573-3 6.215247-3 7.943282-3 7.796536-3 1.000000-2 9.772382-3 1.258925-2 1.223793-2 1.584893-2 1.530950-2 1.995262-2 1.912725-2 2.511886-2 2.385819-2 3.162278-2 2.970555-2 3.981072-2 3.690748-2 5.011872-2 4.575123-2 6.309573-2 5.655000-2 7.943282-2 6.970639-2 1.000000-1 8.563746-2 1.258925-1 1.048195-1 1.584893-1 1.278953-1 1.995262-1 1.555306-1 2.511886-1 1.884900-1 3.162278-1 2.276716-1 3.981072-1 2.740755-1 5.011872-1 3.289040-1 6.309573-1 3.934858-1 7.943282-1 4.696512-1 1.000000+0 5.590420-1 1.258925+0 6.643795-1 1.584893+0 7.887418-1 1.995262+0 9.358434-1 2.511886+0 1.110391+0 3.162278+0 1.318121+0 3.981072+0 1.566059+0 5.011872+0 1.862778+0 6.309573+0 2.218957+0 7.943282+0 2.647452+0 1.000000+1 3.164036+0 1.258925+1 3.788054+0 1.584893+1 4.543159+0 1.995262+1 5.458318+0 2.511886+1 6.569084+0 3.162278+1 7.919050+0 3.981072+1 9.561504+0 5.011872+1 1.156224+1 6.309573+1 1.400190+1 7.943282+1 1.697947+1 1.000000+2 2.061687+1 1.258925+2 2.506413+1 1.584893+2 3.050577+1 1.995262+2 3.716899+1 2.511886+2 4.533409+1 3.162278+2 5.534660+1 3.981072+2 6.763114+1 5.011872+2 8.271444+1 6.309573+2 1.012439+2 7.943282+2 1.240200+2 1.000000+3 1.520272+2 1.258925+3 1.864905+2 1.584893+3 2.289197+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88242-10 1.995262-5 1.090736-9 2.511886-5 1.728669-9 3.162278-5 2.739738-9 3.981072-5 4.342147-9 5.011872-5 6.881694-9 6.309573-5 1.090632-8 7.943282-5 1.728016-8 1.000000-4 2.738169-8 1.258925-4 4.339305-8 1.584893-4 6.873583-8 1.995262-4 1.088870-7 2.511886-4 1.724233-7 3.162278-4 2.728908-7 3.981072-4 4.316423-7 5.011872-4 6.818034-7 6.309573-4 1.075105-6 7.943282-4 1.691948-6 1.000000-3 2.656287-6 1.258925-3 4.158834-6 1.584893-3 6.508810-6 1.995262-3 1.016701-5 2.511886-3 1.589586-5 3.162278-3 2.486660-5 3.981072-3 3.880139-5 5.011872-3 6.062994-5 6.309573-3 9.432629-5 7.943282-3 1.467467-4 1.000000-2 2.276183-4 1.258925-2 3.513238-4 1.584893-2 5.394281-4 1.995262-2 8.253699-4 2.511886-2 1.260670-3 3.162278-2 1.917230-3 3.981072-2 2.903234-3 5.011872-2 4.367496-3 6.309573-2 6.545731-3 7.943282-2 9.726437-3 1.000000-1 1.436254-2 1.258925-1 2.107304-2 1.584893-1 3.059398-2 1.995262-1 4.399559-2 2.511886-1 6.269862-2 3.162278-1 8.855613-2 3.981072-1 1.240316-1 5.011872-1 1.722832-1 6.309573-1 2.374716-1 7.943282-1 3.246771-1 1.000000+0 4.409580-1 1.258925+0 5.945459-1 1.584893+0 7.961514-1 1.995262+0 1.059419+0 2.511886+0 1.401495+0 3.162278+0 1.844157+0 3.981072+0 2.415013+0 5.011872+0 3.149094+0 6.309573+0 4.090617+0 7.943282+0 5.295830+0 1.000000+1 6.835964+0 1.258925+1 8.801200+0 1.584893+1 1.130577+1 1.995262+1 1.449431+1 2.511886+1 1.854978+1 3.162278+1 2.370373+1 3.981072+1 3.024921+1 5.011872+1 3.855648+1 6.309573+1 4.909384+1 7.943282+1 6.245336+1 1.000000+2 7.938313+1 1.258925+2 1.008284+2 1.584893+2 1.279835+2 1.995262+2 1.623572+2 2.511886+2 2.058545+2 3.162278+2 2.608812+2 3.981072+2 3.304760+2 5.011872+2 4.184728+2 6.309573+2 5.297134+2 7.943282+2 6.703083+2 1.000000+3 8.479728+2 1.258925+3 1.072435+3 1.584893+3 1.355973+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 7.110000-6 1.398650+6 7.328245-6 1.184722+6 7.600000-6 9.618950+5 7.852356-6 7.935760+5 8.128305-6 6.434854+5 8.420000-6 5.154110+5 8.700000-6 4.163680+5 8.920000-6 3.517200+5 9.120108-6 3.013694+5 9.350000-6 2.519780+5 9.600000-6 2.069240+5 9.772372-6 1.803242+5 9.800000-6 1.762938+5 9.800000-6 3.032570+6 1.000000-5 3.028617+6 1.009000-5 3.027812+6 1.009000-5 4.906908+6 1.020000-5 4.913291+6 1.035142-5 4.923249+6 1.055000-5 4.945275+6 1.071519-5 4.965135+6 1.089200-5 4.992385+6 1.100000-5 5.009584+6 1.105000-5 5.019192+6 1.122018-5 5.052363+6 1.135011-5 5.078256+6 1.150000-5 5.111706+6 1.165000-5 5.145684+6 1.180000-5 5.180099+6 1.190000-5 5.203257+6 1.200000-5 5.226555+6 1.203000-5 5.234043+6 1.216186-5 5.267040+6 1.226000-5 5.291735+6 1.230269-5 5.302502+6 1.235000-5 5.315192+6 1.245000-5 5.342070+6 1.255600-5 5.370658+6 1.265000-5 5.396084+6 1.275000-5 5.423200+6 1.285000-5 5.450377+6 1.295000-5 5.477607+6 1.303167-5 5.499879+6 1.312700-5 5.525910+6 1.320000-5 5.545864+6 1.327000-5 5.565011+6 1.335000-5 5.586909+6 1.342000-5 5.606080+6 1.350000-5 5.627999+6 1.357200-5 5.647733+6 1.365000-5 5.669115+6 1.390000-5 5.737659+6 1.397000-5 5.756847+6 1.402000-5 5.770551+6 1.406000-5 5.781512+6 1.410000-5 5.792471+6 1.413500-5 5.802059+6 1.417000-5 5.811645+6 1.420000-5 5.819860+6 1.423000-5 5.828074+6 1.426000-5 5.836286+6 1.429400-5 5.845592+6 1.432000-5 5.852706+6 1.435000-5 5.860914+6 1.437000-5 5.866384+6 1.440000-5 5.874588+6 1.443500-5 5.884158+6 1.447000-5 5.893724+6 1.451000-5 5.904654+6 1.455000-5 5.915580+6 1.460000-5 5.929232+6 1.465000-5 5.942877+6 1.472000-5 5.961969+6 1.496236-5 6.027959+6 1.507000-5 6.057206+6 1.515000-5 6.078918+6 1.522000-5 6.097896+6 1.531087-5 6.122506+6 1.540000-5 6.146614+6 1.550000-5 6.173624+6 1.560000-5 6.200595+6 1.570000-5 6.227524+6 1.580000-5 6.254411+6 1.584893-5 6.267548+6 1.590000-5 6.280641+6 1.603245-5 6.314532+6 1.616600-5 6.348621+6 1.630000-5 6.382739+6 1.645000-5 6.420828+6 1.660000-5 6.458806+6 1.675000-5 6.496672+6 1.690000-5 6.534426+6 1.705000-5 6.572067+6 1.717908-5 6.604364+6 1.720000-5 6.609470+6 1.740000-5 6.658140+6 1.760000-5 6.706603+6 1.785000-5 6.766891+6 1.808000-5 6.822069+6 1.819701-5 6.850025+6 1.834300-5 6.883099+6 1.862087-5 6.945719+6 1.885000-5 6.997054+6 1.920000-5 7.074950+6 1.950000-5 7.141224+6 1.990000-5 7.228894+6 2.000000-5 7.250680+6 2.020000-5 7.292714+6 2.065380-5 7.387353+6 2.113489-5 7.486621+6 2.162719-5 7.582118+6 2.213095-5 7.678715+6 2.272000-5 7.790277+6 2.317395-5 7.875237+6 2.344229-5 7.923683+6 2.426610-5 8.070560+6 2.454709-5 8.120039+6 2.511886-5 8.214897+6 2.610000-5 8.374940+6 2.691535-5 8.505494+6 2.722701-5 8.554810+6 2.800000-5 8.671186+6 2.900000-5 8.819085+6 2.917427-5 8.843086+6 3.054921-5 9.029504+6 3.198895-5 9.219611+6 3.311311-5 9.357736+6 3.350000-5 9.401029+6 3.548134-5 9.617898+6 3.589219-5 9.661902+6 3.715352-5 9.786249+6 3.758374-5 9.823312+6 4.000000-5 1.002614+7 4.027170-5 1.004622+7 4.073803-5 1.008043+7 4.365158-5 1.025620+7 4.415704-5 1.028148+7 4.731513-5 1.039913+7 5.069907-5 1.044957+7 5.188000-5 1.044201+7 5.432503-5 1.042681+7 5.754399-5 1.034164+7 5.800000-5 1.033001+7 5.821032-5 1.032224+7 6.165950-5 1.017367+7 6.382635-5 1.005093+7 6.531306-5 9.969887+6 6.918310-5 9.714012+6 7.161434-5 9.529754+6 7.413102-5 9.348932+6 7.786000-5 9.050713+6 7.786000-5 9.989841+6 7.840000-5 9.939603+6 7.910000-5 9.869198+6 7.943282-5 9.833537+6 7.985000-5 9.786487+6 8.000000-5 9.768716+6 8.050000-5 9.707812+6 8.050000-5 1.014810+7 8.080000-5 1.011044+7 8.105000-5 1.007800+7 8.150000-5 1.001871+7 8.190000-5 9.965284+6 8.222426-5 9.921128+6 8.317638-5 9.791097+6 8.350000-5 9.747043+6 8.413951-5 9.659803+6 8.511380-5 9.529032+6 8.609938-5 9.398980+6 8.650000-5 9.344014+6 8.810489-5 9.130102+6 8.850000-5 9.079443+6 9.015711-5 8.873813+6 9.225714-5 8.633233+6 9.230000-5 8.628311+6 9.332543-5 8.514254+6 9.400000-5 8.439169+6 9.549926-5 8.280944+6 9.580000-5 8.250470+6 9.660509-5 8.170694+6 9.772372-5 8.064269+6 9.800000-5 8.038689+6 9.950000-5 7.905253+6 1.010000-4 7.780191+6 1.011579-4 7.767529+6 1.025000-4 7.653652+6 1.040000-4 7.533498+6 1.055000-4 7.420141+6 1.070000-4 7.313095+6 1.071519-4 7.302526+6 1.083927-4 7.218920+6 1.085000-4 7.211780+6 1.090000-4 7.179002+6 1.096478-4 7.137761+6 1.100000-4 7.113621+6 1.110000-4 7.046519+6 1.115000-4 7.013934+6 1.128000-4 6.931408+6 1.135011-4 6.888314+6 1.150000-4 6.798857+6 1.170000-4 6.685758+6 1.174898-4 6.658942+6 1.180000-4 6.629613+6 1.190000-4 6.573622+6 1.198000-4 6.528050+6 1.202264-4 6.504220+6 1.212600-4 6.447321+6 1.212600-4 6.689071+6 1.225000-4 6.627142+6 1.230269-4 6.600839+6 1.244515-4 6.531859+6 1.260000-4 6.457956+6 1.273503-4 6.394688+6 1.280000-4 6.361997+6 1.310000-4 6.214910+6 1.318257-4 6.175601+6 1.333521-4 6.104044+6 1.348963-4 6.033875+6 1.350000-4 6.029201+6 1.364583-4 5.961101+6 1.380384-4 5.886859+6 1.400000-4 5.797011+6 1.430000-4 5.665430+6 1.450000-4 5.580575+6 1.479108-4 5.452989+6 1.480000-4 5.449178+6 1.540000-4 5.202933+6 1.548817-4 5.166947+6 1.603245-4 4.951040+6 1.650000-4 4.778608+6 1.659587-4 4.742563+6 1.720000-4 4.524868+6 1.737801-4 4.464472+6 1.760000-4 4.390510+6 1.778279-4 4.330145+6 1.798871-4 4.262168+6 1.800000-4 4.258481+6 1.820000-4 4.194039+6 1.880000-4 4.009844+6 1.905461-4 3.936194+6 1.927525-4 3.870705+6 1.950000-4 3.805951+6 2.000000-4 3.668544+6 2.041738-4 3.559658+6 2.065380-4 3.499204+6 2.089296-4 3.438379+6 2.137962-4 3.319145+6 2.162719-4 3.261084+6 2.187762-4 3.204028+6 2.190000-4 3.198941+6 2.238721-4 3.090345+6 2.264644-4 3.034952+6 2.290868-4 2.979358+6 2.300000-4 2.960439+6 2.317395-4 2.924850+6 2.350000-4 2.859295+6 2.371374-4 2.817473+6 2.454709-4 2.662031+6 2.483133-4 2.610544+6 2.580000-4 2.446676+6 2.600160-4 2.414348+6 2.630268-4 2.366919+6 2.660725-4 2.319446+6 2.754229-4 2.183109+6 2.786121-4 2.139250+6 2.800000-4 2.120400+6 2.820000-4 2.093568+6 2.951209-4 1.928324+6 2.985383-4 1.888324+6 3.000000-4 1.871465+6 3.054921-4 1.809957+6 3.162278-4 1.697460+6 3.200000-4 1.660231+6 3.235937-4 1.625799+6 3.273407-4 1.590827+6 3.311311-4 1.556597+6 3.388442-4 1.489705+6 3.430000-4 1.455165+6 3.507519-4 1.393758+6 3.589219-4 1.333001+6 3.630781-4 1.303369+6 3.672823-4 1.274009+6 3.845918-4 1.163058+6 3.890451-4 1.136820+6 3.935501-4 1.110922+6 4.000000-4 1.074847+6 4.216965-4 9.659460+5 4.265795-4 9.434340+5 4.315191-4 9.213674+5 4.466836-4 8.579117+5 4.623810-4 7.990749+5 4.677351-4 7.800081+5 4.731513-4 7.614378+5 5.011872-4 6.749029+5 5.128614-4 6.427807+5 5.188000-4 6.272083+5 5.432503-4 5.684803+5 5.688529-4 5.147458+5 5.754399-4 5.021296+5 5.888437-4 4.776388+5 5.956621-4 4.656566+5 6.309573-4 4.104138+5 6.382635-4 4.001946+5 6.456542-4 3.901889+5 6.500000-4 3.844494+5 7.000000-4 3.259518+5 7.079458-4 3.178836+5 7.500000-4 2.789923+5 7.762471-4 2.581867+5 7.800000-4 2.553776+5 7.852356-4 2.514821+5 8.511380-4 2.090434+5 8.609938-4 2.035747+5 8.709636-4 1.981958+5 8.810489-4 1.929521+5 9.374900-4 1.669895+5 9.374900-4 5.069735+5 9.376200-4 5.115147+5 9.380000-4 5.300340+5 9.385000-4 5.521054+5 9.390000-4 5.719240+5 9.395000-4 5.898629+5 9.402000-4 6.124405+5 9.408000-4 6.297876+5 9.414000-4 6.455392+5 9.421000-4 6.622907+5 9.429000-4 6.796546+5 9.440609-4 7.019956+5 9.451000-4 7.196120+5 9.462000-4 7.362713+5 9.478000-4 7.574535+5 9.496000-4 7.777165+5 9.500000-4 7.814472+5 9.515000-4 7.956345+5 9.535000-4 8.111755+5 9.558000-4 8.253764+5 9.580000-4 8.356998+5 9.585300-4 8.375334+5 9.585300-4 9.963934+5 9.587000-4 1.000223+6 9.590500-4 1.009718+6 9.593500-4 1.017371+6 9.596500-4 1.024626+6 9.600000-4 1.032579+6 9.601000-4 1.034767+6 9.607000-4 1.046524+6 9.612000-4 1.055594+6 9.618000-4 1.065597+6 9.625000-4 1.076394+6 9.630000-4 1.083437+6 9.633000-4 1.087318+6 9.640000-4 1.095485+6 9.651000-4 1.107084+6 9.660509-4 1.116009+6 9.663000-4 1.118388+6 9.665000-4 1.120063+6 9.675000-4 1.127273+6 9.690000-4 1.136713+6 9.705000-4 1.144837+6 9.708400-4 1.146406+6 9.720000-4 1.150570+6 9.742000-4 1.156658+6 9.760000-4 1.160237+6 9.772372-4 1.160842+6 9.785000-4 1.161505+6 9.815000-4 1.160689+6 9.820000-4 1.160210+6 9.840000-4 1.157454+6 9.865000-4 1.152751+6 9.885531-4 1.147870+6 9.900000-4 1.144456+6 9.950000-4 1.130081+6 1.000000-3 1.113827+6 1.008000-3 1.087031+6 1.023293-3 1.042604+6 1.035142-3 1.012061+6 1.047129-3 9.824177+5 1.071519-3 9.256104+5 1.083927-3 8.979109+5 1.086100-3 8.931774+5 1.086100-3 1.008547+6 1.109175-3 9.578776+5 1.122018-3 9.312638+5 1.130000-3 9.152564+5 1.135011-3 9.056468+5 1.150000-3 8.785205+5 1.174898-3 8.360225+5 1.183000-3 8.229180+5 1.202264-3 7.925001+5 1.205000-3 7.883138+5 1.216186-3 7.713354+5 1.244515-3 7.306294+5 1.258925-3 7.111046+5 1.273503-3 6.918815+5 1.288250-3 6.730755+5 1.303167-3 6.547830+5 1.318257-3 6.369918+5 1.380384-3 5.705650+5 1.400000-3 5.516671+5 1.412538-3 5.399018+5 1.428894-3 5.249845+5 1.479108-3 4.825729+5 1.513561-3 4.562371+5 1.566751-3 4.192160+5 1.603245-3 3.957438+5 1.678804-3 3.527324+5 1.698244-3 3.427380+5 1.717908-3 3.329798+5 1.737801-3 3.235068+5 1.778279-3 3.052537+5 1.800000-3 2.960540+5 1.819701-3 2.880434+5 1.840772-3 2.798127+5 1.900000-3 2.582552+5 1.972423-3 2.349473+5 1.995262-3 2.281286+5 2.018366-3 2.214663+5 2.041738-3 2.149757+5 2.065380-3 2.086771+5 2.137962-3 1.908834+5 2.213400-3 1.745682+5 2.238721-3 1.694944+5 2.290868-3 1.596432+5 2.344229-3 1.503761+5 2.398833-3 1.416075+5 2.426610-3 1.374179+5 2.540973-3 1.218846+5 2.570396-3 1.182532+5 2.600160-3 1.147140+5 2.660725-3 1.079206+5 2.722701-3 1.015399+5 2.851018-3 8.990653+4 2.917427-3 8.461020+4 2.951209-3 8.208364+4 2.985383-3 7.961421+4 3.000000-3 7.858588+4 3.019952-3 7.720291+4 3.090295-3 7.259005+4 3.349654-3 5.854858+4 3.388442-3 5.676191+4 3.427678-3 5.502208+4 3.507519-3 5.170492+4 3.555660-3 4.983710+4 3.801894-3 4.162175+4 3.845918-3 4.035573+4 3.890451-3 3.911204+4 3.935501-3 3.790280+4 4.000000-3 3.625924+4 4.073803-3 3.449664+4 4.315191-3 2.950160+4 4.365158-3 2.859510+4 4.415704-3 2.771721+4 4.518559-3 2.602205+4 4.570882-3 2.521225+4 4.623810-3 2.442774+4 4.677351-3 2.366767+4 4.841724-3 2.153026+4 4.897788-3 2.086282+4 4.954502-3 2.021641+4 5.011872-3 1.959059+4 5.069907-3 1.898046+4 5.128614-3 1.838625+4 5.188000-3 1.780945+4 5.432503-3 1.568084+4 5.559043-3 1.471569+4 5.688529-3 1.381127+4 5.754399-3 1.338072+4 5.888437-3 1.255404+4 5.956621-3 1.215807+4 6.309573-3 1.035755+4 6.382635-3 1.003139+4 6.456542-3 9.715668+3 6.683439-3 8.828489+3 6.839116-3 8.278761+3 7.000000-3 7.756740+3 7.328245-3 6.822292+3 7.413102-3 6.605969+3 7.585776-3 6.194235+3 7.673615-3 5.998361+3 7.762471-3 5.808735+3 7.943282-3 5.444627+3 8.222426-3 4.939738+3 8.413951-3 4.629389+3 8.511380-3 4.481757+3 8.709636-3 4.200518+3 8.810489-3 4.066765+3 8.912509-3 3.937312+3 8.943200-3 3.899484+3 8.943200-3 2.950742+4 9.015711-3 2.922968+4 9.050000-3 2.909994+4 9.120108-3 2.853902+4 9.150000-3 2.830447+4 9.225714-3 2.776998+4 9.660509-3 2.468168+4 9.772372-3 2.396493+4 9.885531-3 2.326908+4 1.023293-2 2.130075+4 1.035142-2 2.068253+4 1.047129-2 2.008231+4 1.059254-2 1.949891+4 1.071519-2 1.893258+4 1.109175-2 1.727289+4 1.135011-2 1.624841+4 1.161449-2 1.528467+4 1.188502-2 1.437819+4 1.216186-2 1.352562+4 1.244515-2 1.272280+4 1.273503-2 1.196754+4 1.318257-2 1.091816+4 1.333521-2 1.058932+4 1.364583-2 9.961004+3 1.380384-2 9.660978+3 1.400000-2 9.305582+3 1.428894-2 8.801097+3 1.462177-2 8.264649+3 1.513561-2 7.520577+3 1.548817-2 7.062234+3 1.566751-2 6.843683+3 1.603245-2 6.426646+3 1.659587-2 5.848265+3 1.678804-2 5.667113+3 1.730000-2 5.220501+3 1.778279-2 4.842229+3 1.819701-2 4.540807+3 1.840772-2 4.397225+3 1.862087-2 4.258194+3 1.883649-2 4.123550+3 1.927525-2 3.866880+3 1.972423-2 3.625954+3 2.065380-2 3.188300+3 2.162719-2 2.803487+3 2.187762-2 2.714789+3 2.213095-2 2.628904+3 2.238721-2 2.544302+3 2.264644-2 2.462417+3 2.317395-2 2.306312+3 2.483133-2 1.895007+3 2.600160-2 1.662443+3 2.630268-2 1.608915+3 2.660725-2 1.557104+3 2.722701-2 1.458335+3 2.754229-2 1.410640+3 2.786121-2 1.364505+3 2.818383-2 1.319880+3 3.054921-2 1.045860+3 3.126079-2 9.785917+2 3.130000-2 9.750561+2 3.162278-2 9.465652+2 3.198895-2 9.155852+2 3.273407-2 8.566369+2 3.349654-2 8.014898+2 3.467369-2 7.244114+2 3.715352-2 5.917983+2 3.801894-2 5.531866+2 3.845918-2 5.348352+2 3.935501-2 4.999402+2 4.027170-2 4.673248+2 4.120975-2 4.368393+2 4.466836-2 3.440302+2 4.623810-2 3.105259+2 4.731513-2 2.900238+2 4.841724-2 2.708766+2 4.954502-2 2.529937+2 5.128614-2 2.283602+2 5.308844-2 2.059012+2 5.370318-2 1.989163+2 5.432503-2 1.921686+2 5.623413-2 1.732510+2 5.688529-2 1.673688+2 5.821032-2 1.561971+2 6.531306-2 1.105835+2 6.683439-2 1.031364+2 6.839116-2 9.618498+1 7.079458-2 8.662687+1 7.328245-2 7.801913+1 8.317638-2 5.315821+1 8.413951-2 5.133604+1 8.511380-2 4.957496+1 8.609938-2 4.787436+1 8.912509-2 4.308633+1 9.120108-2 4.016353+1 9.660509-2 3.369512+1 9.885531-2 3.140974+1 1.047129-1 2.635188+1 1.059254-1 2.544263+1 1.083927-1 2.371709+1 1.122019-1 2.134581+1 1.135011-1 2.060911+1 1.148154-1 1.989783+1 1.188502-1 1.790800+1 1.202264-1 1.729002+1 1.230269-1 1.611729+1 1.303167-1 1.352192+1 1.318257-1 1.305535+1 1.364583-1 1.175009+1 1.412538-1 1.057534+1 1.462177-1 9.518160+0 1.500000-1 8.805043+0 1.531088-1 8.271142+0 1.548817-1 7.985815+0 1.603245-1 7.187589+0 1.659587-1 6.469157+0 1.698244-1 6.030591+0 1.737801-1 5.625777+0 1.798871-1 5.069003+0 1.840772-1 4.728801+0 1.862087-1 4.567492+0 1.883649-1 4.411686+0 1.905461-1 4.261204+0 1.927525-1 4.115858+0 2.065380-1 3.342192+0 2.089296-1 3.228203+0 2.137962-1 3.011757+0 2.162719-1 2.909044+0 2.187762-1 2.810987+0 2.238721-1 2.624680+0 2.264644-1 2.536313+0 2.290868-1 2.450935+0 2.344229-1 2.288708+0 2.371374-1 2.211670+0 2.398833-1 2.137227+0 2.426610-1 2.065294+0 2.454709-1 1.995782+0 2.511886-1 1.863702+0 2.540973-1 1.800975+0 2.630268-1 1.627630+0 2.660725-1 1.573710+0 2.683120-1 1.535590+0 2.722701-1 1.471196+0 2.917427-1 1.202022+0 2.951209-1 1.162831+0 2.985383-1 1.124918+0 3.019952-1 1.088245+0 3.054921-1 1.052768+0 3.090295-1 1.018500+0 3.198895-1 9.222692-1 3.273407-1 8.632215-1 3.311311-1 8.351343-1 3.388442-1 7.825967-1 3.467369-1 7.333651-1 3.507519-1 7.099643-1 3.589219-1 6.653907-1 3.630781-1 6.441656-1 3.715352-1 6.037283-1 3.758374-1 5.848380-1 3.845918-1 5.488127-1 3.890451-1 5.316413-1 3.935501-1 5.150383-1 3.981072-1 4.989600-1 4.027170-1 4.833841-1 4.120975-1 4.536766-1 4.168694-1 4.398097-1 4.265795-1 4.133349-1 4.315191-1 4.007020-1 4.365158-1 3.884800-1 4.415705-1 3.766305-1 4.466836-1 3.651465-1 4.570882-1 3.432192-1 4.623810-1 3.329912-1 4.677351-1 3.230688-1 4.731513-1 3.134419-1 4.786301-1 3.041022-1 4.897788-1 2.862881-1 4.954502-1 2.777792-1 5.011872-1 2.695237-1 5.069907-1 2.615140-1 5.128614-1 2.539363-1 5.308844-1 2.324960-1 5.432503-1 2.192496-1 5.495409-1 2.129152-1 5.559043-1 2.067639-1 5.623413-1 2.007904-1 5.888437-1 1.791237-1 6.000000-1 1.710000-1 6.025596-1 1.692102-1 6.165950-1 1.598488-1 6.382635-1 1.471122-1 6.456542-1 1.430966-1 6.531306-1 1.392011-1 6.606935-1 1.354118-1 6.760830-1 1.281429-1 6.918310-1 1.214664-1 7.079458-1 1.151382-1 7.085700-1 1.149026-1 7.161434-1 1.121083-1 7.244360-1 1.091589-1 7.328245-1 1.062885-1 7.413102-1 1.035798-1 7.498942-1 1.009401-1 7.585776-1 9.836786-2 7.673615-1 9.586121-2 7.762471-1 9.341846-2 7.943282-1 8.873119-2 8.000000-1 8.733098-2 8.035261-1 8.647689-2 8.128305-1 8.434378-2 8.511380-1 7.632527-2 8.609938-1 7.444272-2 8.709636-1 7.261110-2 8.912509-1 6.908353-2 9.015711-1 6.738453-2 9.120108-1 6.577150-2 9.225714-1 6.419712-2 9.332543-1 6.266054-2 9.440609-1 6.116073-2 9.549926-1 5.969753-2 9.660509-1 5.827456-2 9.772372-1 5.688568-2 1.011579+0 5.306836-2 1.023293+0 5.185366-2 1.035142+0 5.066726-2 1.059254+0 4.838060-2 1.071519+0 4.727635-2 1.096478+0 4.514280-2 1.109175+0 4.411239-2 1.122018+0 4.310566-2 1.135011+0 4.215403-2 1.161449+0 4.031361-2 1.174898+0 3.942766-2 1.188600+0 3.855511-2 1.216186+0 3.688519-2 1.230269+0 3.610285-2 1.273503+0 3.385426-2 1.288250+0 3.313824-2 1.303167+0 3.243772-2 1.318257+0 3.175204-2 1.333521+0 3.108090-2 1.364583+0 2.978079-2 1.396368+0 2.857222-2 1.428894+0 2.741268-2 1.462177+0 2.630402-2 1.479108+0 2.576665-2 1.531087+0 2.421949-2 1.548817+0 2.374207-2 1.584893+0 2.281541-2 1.621810+0 2.192814-2 1.698244+0 2.025581-2 1.717908+0 1.985808-2 1.737801+0 1.948106-2 1.778279+0 1.874844-2 1.819701+0 1.804598-2 1.905461+0 1.671909-2 1.927525+0 1.640293-2 1.949845+0 1.610278-2 2.000000+0 1.546002-2 2.018366+0 1.523586-2 2.044000+0 1.493170-2 2.137962+0 1.389705-2 2.162719+0 1.364376-2 2.187762+0 1.340331-2 2.264644+0 1.270713-2 2.290868+0 1.248402-2 2.317395+0 1.226483-2 2.426610+0 1.142590-2 2.454709+0 1.122530-2 2.483133+0 1.103466-2 2.570396+0 1.048198-2 2.600160+0 1.030463-2 2.630268+0 1.013028-2 2.754229+0 9.461889-3 2.786121+0 9.301811-3 2.851018+0 8.999770-3 2.951209+0 8.565033-3 2.985383+0 8.425348-3 3.019952+0 8.287945-3 3.162278+0 7.760387-3 3.235937+0 7.509351-3 3.311311+0 7.274232-3 3.427678+0 6.935307-3 3.467369+0 6.826268-3 3.507519+0 6.718946-3 3.672823+0 6.306273-3 3.758374+0 6.109551-3 3.845918+0 5.924729-3 4.000000+0 5.622259-3 4.073803+0 5.487249-3 4.120975+0 5.403901-3 4.315191+0 5.082978-3 4.415704+0 4.929745-3 4.518559+0 4.785628-3 4.731513+0 4.509930-3 4.786301+0 4.443750-3 4.841724+0 4.378540-3 5.128614+0 4.066577-3 5.248075+0 3.948112-3 5.370318+0 3.836508-3 5.623413+0 3.622691-3 5.688529+0 3.571282-3 5.754399+0 3.520603-3 5.821032+0 3.470643-3 6.237348+0 3.185429-3 6.382635+0 3.095668-3 6.531306+0 3.010789-3 6.839116+0 2.847959-3 6.918310+0 2.808774-3 7.000000+0 2.769376-3 7.079458+0 2.732015-3 7.498942+0 2.549173-3 7.673615+0 2.479512-3 7.943282+0 2.380978-3 8.609938+0 2.166035-3 8.709636+0 2.137045-3 8.912509+0 2.080223-3 9.015711+0 2.052381-3 9.332543+0 1.971073-3 9.440609+0 1.944694-3 9.660509+0 1.894262-3 1.100000+1 1.633400-3 1.122018+1 1.596970-3 1.161449+1 1.535412-3 1.174898+1 1.515425-3 1.202264+1 1.476230-3 1.216186+1 1.457014-3 1.230269+1 1.438488-3 1.412538+1 1.233737-3 1.445440+1 1.202644-3 1.479108+1 1.172335-3 1.513561+1 1.142789-3 1.531087+1 1.128298-3 1.566751+1 1.100354-3 1.949845+1 8.671020-4 1.972423+1 8.563217-4 2.000000+1 8.434989-4 2.018366+1 8.351619-4 2.041738+1 8.247790-4 2.065380+1 8.147243-4 2.722701+1 6.069742-4 2.754229+1 5.995870-4 2.800000+1 5.891705-4 2.818383+1 5.850852-4 2.884032+1 5.709345-4 4.216965+1 3.838147-4 4.265795+1 3.792303-4 4.315191+1 3.747015-4 4.365158+1 3.702269-4 4.415704+1 3.658057-4 4.518559+1 3.571213-4 6.918310+1 2.305104-4 6.998420+1 2.278018-4 7.161434+1 2.224806-4 7.328245+1 2.172836-4 7.498942+1 2.122081-4 7.762471+1 2.048164-4 1.318257+2 1.196059-4 1.333521+2 1.182165-4 1.364583+2 1.154861-4 1.396368+2 1.128189-4 1.412538+2 1.115084-4 1.445440+2 1.089330-4 1.500000+2 1.049133-4 1.531087+2 1.027520-4 2.630268+2 5.956391-5 2.660725+2 5.887718-5 2.722701+2 5.752747-5 2.786121+2 5.620869-5 2.818383+2 5.556068-5 2.884032+2 5.428699-5 2.985383+2 5.243102-5 3.054921+2 5.122911-5 1.047129+3 1.489139-5 1.059254+3 1.472048-5 1.083927+3 1.438452-5 1.109175+3 1.405623-5 1.122018+3 1.389491-5 1.148154+3 1.357779-5 1.188502+3 1.311564-5 1.216186+3 1.281631-5 1.000000+5 1.555997-7 1 29000 7 0 6.354000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 7.110000-6 7.110000-6 9.800000-6 7.110000-6 9.800000-6 9.643621-6 1.009000-5 9.676349-6 1.009000-5 9.834756-6 1.165000-5 9.894844-6 1.584893-5 9.910854-6 7.786000-5 9.908299-6 7.786000-5 1.083002-5 8.050000-5 1.078078-5 8.050000-5 1.117500-5 8.511380-5 1.099817-5 9.015711-5 1.079338-5 9.580000-5 1.063055-5 1.011579-4 1.054878-5 1.071519-4 1.053130-5 1.150000-4 1.058951-5 1.212600-4 1.067665-5 1.212600-4 1.132023-5 1.350000-4 1.167888-5 1.820000-4 1.275817-5 2.089296-4 1.330269-5 2.371374-4 1.379238-5 2.820000-4 1.446335-5 3.311311-4 1.510945-5 3.845918-4 1.571203-5 4.466836-4 1.630525-5 5.188000-4 1.688576-5 5.956621-4 1.740770-5 7.000000-4 1.798662-5 7.852356-4 1.838519-5 8.810489-4 1.876756-5 9.374900-4 1.896913-5 9.374900-4 2.652352-5 9.390000-4 2.695864-5 9.408000-4 2.727435-5 9.440609-4 2.760256-5 9.500000-4 2.790830-5 9.585300-4 2.811452-5 9.585300-4 2.851302-5 9.640000-4 2.872278-5 9.772372-4 2.888595-5 1.023293-3 2.891458-5 1.086100-3 2.891812-5 1.086100-3 3.086861-5 1.258925-3 3.125894-5 1.840772-3 3.220142-5 2.660725-3 3.324427-5 3.555660-3 3.415347-5 4.841724-3 3.518589-5 6.456542-3 3.617918-5 8.511380-3 3.712539-5 8.943200-3 3.729535-5 8.943200-3 4.741588-5 1.318257-2 4.772250-5 2.483133-2 4.800787-5 5.821032-2 4.820716-5 2.722701-1 4.832938-5 1.000000+5 4.835367-5 1 29000 7 7 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.110000-6 0.0 7.786000-5 0.0 7.786000-5 1.53017-10 7.840000-5 1.52315-10 7.910000-5 1.50489-10 8.000000-5 1.47047-10 8.050000-5 1.44823-10 8.050000-5 2.15260-10 8.150000-5 2.10394-10 8.222426-5 2.05997-10 8.350000-5 1.97280-10 8.650000-5 1.75181-10 8.850000-5 1.61317-10 9.015711-5 1.50578-10 9.230000-5 1.38360-10 9.400000-5 1.30090-10 9.580000-5 1.22770-10 9.660509-5 1.19938-10 9.800000-5 1.15625-10 9.950000-5 1.11859-10 1.011579-4 1.08746-10 1.025000-4 1.07041-10 1.040000-4 1.05875-10 1.055000-4 1.05409-10 1.071519-4 1.05646-10 1.090000-4 1.06737-10 1.110000-4 1.08871-10 1.135011-4 1.12697-10 1.150000-4 1.15415-10 1.180000-4 1.21862-10 1.212600-4 1.30147-10 1.212600-4 1.89080-10 1.260000-4 2.07251-10 1.333521-4 2.34075-10 1.480000-4 2.86824-10 1.603245-4 3.30533-10 1.737801-4 3.77014-10 1.820000-4 4.04544-10 1.950000-4 4.45751-10 2.065380-4 4.79837-10 2.190000-4 5.14640-10 2.350000-4 5.55676-10 2.483133-4 5.87640-10 2.754229-4 6.48182-10 3.000000-4 6.99014-10 3.235937-4 7.44330-10 3.430000-4 7.79318-10 3.672823-4 8.19864-10 4.000000-4 8.69301-10 4.315191-4 9.12461-10 4.731513-4 9.64287-10 5.128614-4 1.008704-9 5.432503-4 1.039979-9 5.956621-4 1.087435-9 6.500000-4 1.130692-9 7.079458-4 1.171051-9 7.852356-4 1.217908-9 8.709636-4 1.261689-9 9.374900-4 1.291256-9 9.374900-4 5.422146-6 9.376200-4 5.446631-6 9.380000-4 5.541195-6 9.385000-4 5.645889-6 9.390000-4 5.733303-6 9.395000-4 5.807624-6 9.402000-4 5.895349-6 9.414000-4 6.013731-6 9.429000-4 6.124922-6 9.451000-4 6.243701-6 9.478000-4 6.347184-6 9.515000-4 6.445509-6 9.558000-4 6.521247-6 9.585300-4 6.554238-6 9.585300-4 6.834646-6 9.612000-4 6.923792-6 9.651000-4 6.998116-6 9.720000-4 7.066553-6 9.820000-4 7.106260-6 1.000000-3 7.111170-6 1.086100-3 7.084074-6 1.086100-3 7.219815-6 1.972423-3 7.239924-6 8.943200-3 7.208855-6 8.943200-3 3.158355-3 9.120108-3 3.168742-3 1.135011-2 3.194888-3 1.603245-2 3.221654-3 2.483133-2 3.242816-3 4.623810-2 3.257396-3 1.548817-1 3.264844-3 1.000000+5 3.266705-3 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.110000-6 0.0 9.800000-6 2.690000-6 9.800000-6 1.563791-7 1.000000-5 3.331972-7 1.009000-5 4.136508-7 1.009000-5 2.552436-7 1.035142-5 5.010488-7 1.071519-5 8.477094-7 1.122018-5 1.335403-6 1.203000-5 2.128866-6 1.365000-5 3.738064-6 7.786000-5 6.795170-5 7.786000-5 6.702982-5 8.050000-5 6.971908-5 8.050000-5 6.932479-5 9.950000-5 8.893303-5 1.212600-4 1.105832-4 1.212600-4 1.099396-4 2.454709-4 2.315441-4 5.432503-4 5.261852-4 9.374900-4 9.185196-4 9.374900-4 9.055443-4 9.558000-4 9.212117-4 1.008000-3 9.719770-4 1.086100-3 1.050098-3 1.086100-3 1.048012-3 8.943200-3 8.898696-3 8.943200-3 5.737429-3 9.225714-3 6.007046-3 1.566751-2 1.239946-2 2.454709-1 2.421574-1 1.000000+5 1.000000+5 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 8.943200-3 2.560794+4 9.050000-3 2.532860+4 9.150000-3 2.464860+4 9.225714-3 2.419832+4 1.071519-2 1.659531+4 1.400000-2 8.216480+3 1.778279-2 4.295918+3 2.213095-2 2.339718+3 2.722701-2 1.300900+3 3.349654-2 7.162195+2 4.120975-2 3.908643+2 5.128614-2 2.045224+2 6.531306-2 9.911070+1 8.609938-2 4.293082+1 1.698244-1 5.410341+0 2.162719-1 2.610176+0 2.540973-1 1.615860+0 2.917427-1 1.078446+0 3.311311-1 7.492858-1 3.715352-1 5.416716-1 4.120975-1 4.070490-1 4.570882-1 3.079497-1 5.069907-1 2.346453-1 5.623413-1 1.801654-1 6.165950-1 1.434364-1 6.760830-1 1.149906-1 7.328245-1 9.538612-2 8.035261-1 7.761310-2 9.015711-1 6.048336-2 9.772372-1 5.106154-2 1.122018+0 3.869243-2 1.216186+0 3.310879-2 1.364583+0 2.673204-2 1.531087+0 2.173994-2 1.717908+0 1.782507-2 1.927525+0 1.472357-2 2.162719+0 1.224663-2 2.454709+0 1.007586-2 2.786121+0 8.349315-3 3.235937+0 6.740438-3 3.758374+0 5.483991-3 4.415704+0 4.424964-3 5.248075+0 3.543871-3 6.382635+0 2.778721-3 7.673615+0 2.225614-3 9.440609+0 1.745569-3 1.216186+1 1.307833-3 1.531087+1 1.012807-3 2.041738+1 7.403632-4 2.884032+1 5.124971-4 4.518559+1 3.205682-4 7.762471+1 1.838516-4 1.531087+2 9.223626-5 3.054921+2 4.598620-5 1.216186+3 1.150503-5 1.000000+5 1.396800-7 1 29000 7 0 6.354000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 8.943200-3 4.895700-5 1.000000+5 4.895700-5 1 29000 7 7 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.943200-3 3.638200-3 1.000000+5 3.638200-3 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.943200-3 5.256043-3 1.000000+5 1.000000+5 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.086100-3 1.153700+5 1.183000-3 1.056450+5 1.205000-3 1.031352+5 1.428894-3 7.969790+4 1.513561-3 7.284180+4 1.840772-3 5.259706+4 2.018366-3 4.474235+4 2.344229-3 3.411924+4 2.600160-3 2.806993+4 3.000000-3 2.126780+4 3.388442-3 1.665747+4 3.845918-3 1.283705+4 4.415704-3 9.581375+3 5.011872-3 7.278379+3 5.754399-3 5.353733+3 6.683439-3 3.806345+3 7.762471-3 2.683688+3 9.015711-3 1.877027+3 1.047129-2 1.302685+3 1.216186-2 8.973921+2 1.428894-2 5.958503+2 1.659587-2 4.043912+2 1.927525-2 2.726043+2 2.264644-2 1.769607+2 2.660725-2 1.140447+2 3.130000-2 7.273340+1 3.715352-2 4.492833+1 4.466836-2 2.656693+1 5.432503-2 1.508210+1 6.683439-2 8.216123+0 8.413951-2 4.150206+0 1.122019-1 1.751993+0 1.840772-1 3.952060-1 2.238721-1 2.206177-1 2.630268-1 1.374310-1 3.054921-1 8.915295-2 3.467369-1 6.223745-2 3.890451-1 4.519629-2 4.315191-1 3.410885-2 4.786301-1 2.591324-2 5.308844-1 1.982801-2 5.888437-1 1.528803-2 6.456542-1 1.221762-2 7.085700-1 9.812653-3 7.762471-1 7.981160-3 8.609938-1 6.360952-3 9.549926-1 5.101661-3 1.035142+0 4.328824-3 1.161449+0 3.444443-3 1.273503+0 2.892859-3 1.428894+0 2.342126-3 1.584893+0 1.949538-3 1.778279+0 1.602068-3 2.000000+0 1.321198-3 2.264644+0 1.085923-3 2.570396+0 8.958105-4 2.951209+0 7.318002-4 3.427678+0 5.925873-4 4.000000+0 4.804100-4 4.731513+0 3.853258-4 5.623413+0 3.095376-4 6.839116+0 2.433485-4 8.609938+0 1.850688-4 1.100000+1 1.395600-4 1.412538+1 1.054180-4 1.949845+1 7.411530-5 2.722701+1 5.188105-5 4.216965+1 3.280558-5 6.918310+1 1.970170-5 1.318257+2 1.022161-5 2.630268+2 5.092328-6 1.047129+3 1.273015-6 1.000000+5 1.330600-8 1 29000 7 0 6.354000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.086100-3 4.596900-5 1.000000+5 4.596900-5 1 29000 7 7 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.086100-3 8.270700-6 1.000000+5 8.270700-6 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.086100-3 1.031860-3 1.000000+5 1.000000+5 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 9.585300-4 1.588600+5 9.587000-4 1.621000+5 9.590500-4 1.703800+5 9.593500-4 1.769900+5 9.596500-4 1.832000+5 9.601000-4 1.919000+5 9.607000-4 2.023400+5 9.612000-4 2.103100+5 9.618000-4 2.189900+5 9.625000-4 2.282400+5 9.633000-4 2.378100+5 9.640000-4 2.454000+5 9.651000-4 2.560900+5 9.663000-4 2.664000+5 9.675000-4 2.755800+5 9.690000-4 2.857100+5 9.705000-4 2.945200+5 9.720000-4 3.022000+5 9.742000-4 3.116700+5 9.760000-4 3.180000+5 9.785000-4 3.249900+5 9.815000-4 3.309700+5 9.840000-4 3.342100+5 9.865000-4 3.361300+5 9.900000-4 3.369900+5 9.950000-4 3.354600+5 1.000000-3 3.317800+5 1.130000-3 2.367100+5 1.174898-3 2.144400+5 1.273503-3 1.756600+5 1.412538-3 1.350900+5 1.566751-3 1.031600+5 1.698244-3 8.318800+4 1.995262-3 5.357700+4 2.238721-3 3.877400+4 2.570396-3 2.612900+4 2.985383-3 1.687000+4 3.349654-3 1.198100+4 3.890451-3 7.618900+3 4.518559-3 4.803600+3 5.128614-3 3.231300+3 5.956621-3 2.007900+3 7.000000-3 1.192000+3 8.222426-3 7.028200+2 9.660509-3 4.109200+2 1.135011-2 2.384600+2 1.333521-2 1.374000+2 1.566751-2 7.863400+1 1.862087-2 4.293800+1 2.238721-2 2.235400+1 2.754229-2 1.064000+1 3.467369-2 4.626000+0 4.623810-2 1.618600+0 8.511380-2 1.729500-1 1.083927-1 7.178485-2 1.303167-1 3.697997-2 1.548817-1 2.000663-2 1.798871-1 1.183070-2 2.065380-1 7.339836-3 2.344229-1 4.773585-3 2.630268-1 3.250638-3 2.951209-1 2.229783-3 3.273407-1 1.599263-3 3.630781-1 1.155471-3 4.027170-1 8.407789-4 4.466836-1 6.162444-4 4.954502-1 4.549564-4 5.432503-1 3.497148-4 6.000000-1 2.652485-4 6.606935-1 2.044268-4 7.244360-1 1.605464-4 7.943282-1 1.270270-4 8.609938-1 1.037682-4 9.225714-1 8.787379-5 9.772372-1 7.702202-5 1.035142+0 6.799017-5 1.109175+0 5.893823-5 1.188600+0 5.146579-5 1.303167+0 4.343872-5 1.462177+0 3.541144-5 1.698244+0 2.733522-5 1.905461+0 2.255005-5 2.137962+0 1.874212-5 2.426610+0 1.540970-5 2.754229+0 1.276084-5 3.162278+0 1.046348-5 3.672823+0 8.503275-6 4.315191+0 6.853942-6 5.128614+0 5.483361-6 6.237348+0 4.295526-6 7.498942+0 3.437609-6 9.332543+0 2.658344-6 1.202264+1 1.991066-6 1.513561+1 1.541476-6 2.018366+1 1.126545-6 2.818383+1 7.891382-7 4.415704+1 4.933942-7 7.498942+1 2.862278-7 1.412538+2 1.503792-7 2.818383+2 7.494344-8 1.122018+3 1.874218-8 1.000000+5 2.09920-10 1 29000 7 0 6.354000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 9.585300-4 3.061400-5 1.000000+5 3.061400-5 1 29000 7 7 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 9.585300-4 8.313000-6 1.000000+5 8.313000-6 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 9.585300-4 9.196030-4 1.000000+5 1.000000+5 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 9.374900-4 3.399840+5 9.376200-4 3.445788+5 9.380000-4 3.632548+5 9.385000-4 3.855320+5 9.390000-4 4.055560+5 9.395000-4 4.237000+5 9.402000-4 4.465640+5 9.408000-4 4.641560+5 9.414000-4 4.801520+5 9.421000-4 4.971880+5 9.429000-4 5.148760+5 9.440609-4 5.376858+5 9.451000-4 5.557200+5 9.462000-4 5.728200+5 9.478000-4 5.946400+5 9.496000-4 6.156160+5 9.515000-4 6.342920+5 9.535000-4 6.506280+5 9.558000-4 6.657360+5 9.580000-4 6.769200+5 9.600000-4 6.846440+5 9.630000-4 6.924120+5 9.665000-4 6.966360+5 9.708400-4 6.962746+5 9.760000-4 6.902560+5 9.820000-4 6.787920+5 1.008000-3 6.216320+5 1.023293-3 5.953369+5 1.071519-3 5.295827+5 1.135011-3 4.550750+5 1.258925-3 3.510637+5 1.400000-3 2.673864+5 1.566751-3 1.988619+5 1.737801-3 1.500989+5 1.972423-3 1.058833+5 2.213400-3 7.640003+4 2.540973-3 5.134665+4 2.951209-3 3.303783+4 3.349654-3 2.260056+4 3.845918-3 1.482893+4 4.415704-3 9.659119+3 5.069907-3 6.247536+3 5.888437-3 3.866731+3 6.839116-3 2.374906+3 7.943282-3 1.447993+3 9.225714-3 8.766915+2 1.071519-2 5.272129+2 1.244515-2 3.149802+2 1.462177-2 1.795873+2 1.730000-2 9.915840+1 2.065380-2 5.263356+1 2.483133-2 2.702785+1 3.054921-2 1.266685+1 3.801894-2 5.644332+0 4.841724-2 2.291937+0 9.660509-2 1.719393-1 1.188502-1 7.950944-2 1.412538-1 4.211468-2 1.659587-1 2.344587-2 1.883649-1 1.489736-2 2.137962-1 9.535798-3 2.398833-1 6.403306-3 2.683120-1 4.379707-3 2.985383-1 3.073039-3 3.273407-1 2.278152-3 3.589219-1 1.700229-3 3.935501-1 1.278199-3 4.265795-1 1.002433-3 4.623810-1 7.911254-4 5.011872-1 6.284149-4 5.432503-1 5.027122-4 5.888437-1 4.048314-4 6.382635-1 3.281534-4 6.918310-1 2.677526-4 7.498942-1 2.198648-4 8.128305-1 1.816669-4 9.015711-1 1.431757-4 9.660509-1 1.229935-4 1.035142+0 1.064569-4 1.135011+0 8.844755-5 1.230269+0 7.574284-5 1.364583+0 6.257894-5 1.548817+0 5.000625-5 1.737801+0 4.103699-5 1.949845+0 3.391229-5 2.187762+0 2.822563-5 2.483133+0 2.323810-5 2.851018+0 1.894839-5 3.311311+0 1.531617-5 3.845918+0 1.247532-5 4.518559+0 1.007647-5 5.370318+0 8.078327-6 6.531306+0 6.339840-6 7.943282+0 5.013478-6 9.660509+0 3.989054-6 1.230269+1 3.029516-6 1.566751+1 2.317415-6 2.065380+1 1.716005-6 2.884032+1 1.202691-6 4.518559+1 7.522641-7 7.762471+1 4.314460-7 1.500000+2 2.209800-7 2.985383+2 1.104412-7 1.188502+3 2.762781-8 1.000000+5 3.27780-10 1 29000 7 0 6.354000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 9.374900-4 3.023400-5 1.000000+5 3.023400-5 1 29000 7 7 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 9.374900-4 8.084700-6 1.000000+5 8.084700-6 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 9.374900-4 8.991713-4 1.000000+5 1.000000+5 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.212600-4 2.417500+5 1.225000-4 2.464860+5 1.244515-4 2.520926+5 1.260000-4 2.552020+5 1.280000-4 2.580200+5 1.310000-4 2.602780+5 1.348963-4 2.611000+5 1.400000-4 2.601880+5 1.479108-4 2.568408+5 1.650000-4 2.478700+5 1.800000-4 2.395160+5 1.927525-4 2.317681+5 2.041738-4 2.241881+5 2.162719-4 2.155677+5 2.300000-4 2.053560+5 2.454709-4 1.937685+5 2.660725-4 1.789534+5 2.951209-4 1.602116+5 3.273407-4 1.424390+5 3.630781-4 1.257090+5 4.000000-4 1.109854+5 4.466836-4 9.550355+4 5.128614-4 7.846311+4 5.754399-4 6.615463+4 6.500000-4 5.479860+4 7.500000-4 4.356620+4 8.511380-4 3.533513+4 9.772372-4 2.789433+4 1.122018-3 2.187534+4 1.303167-3 1.667717+4 1.513561-3 1.262202+4 1.778279-3 9.273365+3 2.065380-3 6.916130+3 2.426610-3 5.006380+3 2.851018-3 3.596830+3 3.349654-3 2.565511+3 3.935501-3 1.816352+3 4.623810-3 1.276106+3 5.432503-3 8.895028+2 6.309573-3 6.316183+2 7.328245-3 4.453427+2 8.511380-3 3.117513+2 9.885531-3 2.166825+2 1.161449-2 1.453250+2 1.364583-2 9.670685+1 1.603245-2 6.386267+1 1.883649-2 4.185831+1 2.213095-2 2.723346+1 2.630268-2 1.704702+1 3.126079-2 1.058756+1 3.715352-2 6.526565+0 4.466836-2 3.866039+0 5.308844-2 2.349899+0 6.531306-2 1.282224+0 8.317638-2 6.271812-1 1.059254-1 3.046238-1 1.737801-1 6.882550-2 2.264644-1 3.129215-2 2.660725-1 1.949843-2 3.090295-1 1.266094-2 3.507519-1 8.846517-3 3.935501-1 6.429633-3 4.415705-1 4.708314-3 4.897788-1 3.582437-3 5.432503-1 2.746353-3 6.000000-1 2.144398-3 6.606935-1 1.699677-3 7.244360-1 1.370537-3 8.000000-1 1.095300-3 8.709636-1 9.092005-4 9.440609-1 7.667477-4 1.023293+0 6.508512-4 1.161449+0 5.067611-4 1.288250+0 4.160215-4 1.428894+0 3.439695-4 1.584893+0 2.863158-4 1.778279+0 2.352755-4 2.000000+0 1.940400-4 2.264644+0 1.594948-4 2.570396+0 1.315707-4 2.951209+0 1.074773-4 3.427678+0 8.703273-5 4.000000+0 7.055900-5 4.731513+0 5.659439-5 5.623413+0 4.546333-5 6.839116+0 3.574177-5 8.609938+0 2.718143-5 1.100000+1 2.049700-5 1.412538+1 1.548395-5 1.949845+1 1.088515-5 2.754229+1 7.527570-6 4.265795+1 4.761010-6 6.998420+1 2.859723-6 1.333521+2 1.483912-6 2.660725+2 7.393081-7 1.059254+3 1.848316-7 1.000000+5 1.954300-9 1 29000 7 0 6.354000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.212600-4 2.848400-5 1.000000+5 2.848400-5 1 29000 7 7 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.212600-4 1.760800-9 1.000000+5 1.760800-9 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.212600-4 9.277424-5 1.000000+5 1.000000+5 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 8.050000-5 4.402900+5 8.105000-5 4.373920+5 8.150000-5 4.334680+5 8.222426-5 4.245837+5 8.317638-5 4.099066+5 8.413951-5 3.931251+5 8.511380-5 3.750359+5 8.650000-5 3.490240+5 8.850000-5 3.127400+5 9.400000-5 2.309680+5 9.580000-5 2.108760+5 9.772372-5 1.928761+5 9.950000-5 1.792158+5 1.011579-4 1.688074+5 1.025000-4 1.618956+5 1.040000-4 1.556284+5 1.055000-4 1.507530+5 1.070000-4 1.471214+5 1.085000-4 1.445928+5 1.100000-4 1.430344+5 1.115000-4 1.423224+5 1.135011-4 1.424952+5 1.150000-4 1.433334+5 1.170000-4 1.452232+5 1.198000-4 1.490262+5 1.230269-4 1.545868+5 1.364583-4 1.824461+5 1.430000-4 1.954988+5 1.480000-4 2.045360+5 1.540000-4 2.141380+5 1.603245-4 2.227837+5 1.659587-4 2.292639+5 1.720000-4 2.349900+5 1.798871-4 2.406572+5 1.880000-4 2.444940+5 1.950000-4 2.463520+5 2.041738-4 2.470489+5 2.137962-4 2.460332+5 2.238721-4 2.434290+5 2.350000-4 2.391360+5 2.483133-4 2.326615+5 2.630268-4 2.245502+5 2.800000-4 2.145720+5 3.000000-4 2.025340+5 3.200000-4 1.905352+5 3.430000-4 1.771208+5 3.672823-4 1.636133+5 3.935501-4 1.499499+5 4.265795-4 1.344366+5 4.623810-4 1.196753+5 5.011872-4 1.058328+5 5.432503-4 9.295463+4 5.888437-4 8.107188+4 6.456542-4 6.882306+4 7.079458-4 5.801510+4 7.762471-4 4.856089+4 8.511380-4 4.035586+4 9.500000-4 3.208060+4 1.047129-3 2.599431+4 1.150000-3 2.109180+4 1.288250-3 1.624779+4 1.428894-3 1.271539+4 1.603245-3 9.608105+3 1.800000-3 7.195980+3 2.041738-3 5.209127+3 2.290868-3 3.850420+3 2.600160-3 2.740883+3 2.951209-3 1.935803+3 3.349654-3 1.357249+3 3.801894-3 9.446892+2 4.315191-3 6.527597+2 4.897788-3 4.478061+2 5.559043-3 3.050141+2 6.382635-3 1.990897+2 7.328245-3 1.289496+2 8.413951-3 8.289318+1 9.772372-3 5.095201+1 1.135011-2 3.108198+1 1.318257-2 1.882673+1 1.548817-2 1.088989+1 1.819701-2 6.252849+0 2.162719-2 3.424425+0 2.600160-2 1.787320+0 3.198895-2 8.529860-1 4.027170-2 3.718635-1 5.623413-2 1.105024-1 8.912509-2 2.061871-2 1.135011-1 8.598853-3 1.364583-1 4.447530-3 1.603245-1 2.515831-3 1.862087-1 1.493281-3 2.137962-1 9.296187-4 2.426610-1 6.064453-4 2.722701-1 4.141034-4 3.054921-1 2.848014-4 3.388442-1 2.047067-4 3.758374-1 1.481393-4 4.168694-1 1.079874-4 4.623810-1 7.932385-5 5.128614-1 5.873081-5 5.623413-1 4.527078-5 6.165950-1 3.513224-5 6.760830-1 2.745686-5 7.413102-1 2.160872-5 8.609938-1 1.479940-5 9.120108-1 1.286451-5 9.660509-1 1.125069-5 1.023293+0 9.911497-6 1.096478+0 8.578985-6 1.174898+0 7.480836-6 1.273503+0 6.434864-6 1.396368+0 5.457203-6 1.698244+0 3.889908-6 1.905461+0 3.208634-6 2.137962+0 2.666854-6 2.426610+0 2.192672-6 2.754229+0 1.815682-6 3.162278+0 1.488761-6 3.672823+0 1.209885-6 4.315191+0 9.752196-7 5.128614+0 7.802041-7 6.237348+0 6.111961-7 7.498942+0 4.891241-7 9.332543+0 3.782451-7 1.202264+1 2.832978-7 1.513561+1 2.193380-7 2.018366+1 1.602933-7 2.818383+1 1.122814-7 4.365158+1 7.104700-8 7.328245+1 4.169553-8 1.396368+2 2.164709-8 2.786121+2 1.078748-8 1.109175+3 2.697695-9 1.000000+5 2.98680-11 1 29000 7 0 6.354000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 8.050000-5 1.986700-5 1.000000+5 1.986700-5 1 29000 7 7 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 8.050000-5 1.768300-9 1.000000+5 1.768300-9 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 8.050000-5 6.063123-5 1.000000+5 1.000000+5 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 7.786000-5 9.391280+5 7.840000-5 9.301160+5 7.910000-5 9.124560+5 7.985000-5 8.882400+5 8.080000-5 8.527320+5 8.190000-5 8.082640+5 8.350000-5 7.422800+5 8.511380-5 6.780950+5 9.015711-5 5.114100+5 9.230000-5 4.584040+5 9.400000-5 4.235600+5 9.549926-5 3.977285+5 9.660509-5 3.814175+5 9.800000-5 3.638976+5 9.950000-5 3.485712+5 1.010000-4 3.365344+5 1.025000-4 3.274384+5 1.040000-4 3.209484+5 1.055000-4 3.167492+5 1.071519-4 3.144239+5 1.090000-4 3.142500+5 1.110000-4 3.164460+5 1.128000-4 3.201356+5 1.150000-4 3.263692+5 1.180000-4 3.370996+5 1.230269-4 3.584338+5 1.318257-4 3.982560+5 1.380384-4 4.245099+5 1.430000-4 4.433600+5 1.480000-4 4.602320+5 1.540000-4 4.776280+5 1.603245-4 4.927122+5 1.659587-4 5.035032+5 1.737801-4 5.146725+5 1.820000-4 5.221040+5 1.905461-4 5.257074+5 2.000000-4 5.254680+5 2.089296-4 5.218599+5 2.190000-4 5.147240+5 2.317395-4 5.023598+5 2.454709-4 4.862797+5 2.600160-4 4.675151+5 2.754229-4 4.468625+5 2.951209-4 4.203158+5 3.162278-4 3.925501+5 3.388442-4 3.639404+5 3.630781-4 3.349425+5 3.890451-4 3.062285+5 4.216965-4 2.737572+5 4.623810-4 2.388350+5 5.011872-4 2.105217+5 5.432503-4 1.842946+5 5.888437-4 1.602810+5 6.500000-4 1.339372+5 7.079458-4 1.139793+5 7.800000-4 9.422280+4 8.609938-4 7.695373+4 9.500000-4 6.246440+4 1.047129-3 5.048291+4 1.174898-3 3.889097+4 1.318257-3 2.970842+4 1.479108-3 2.250668+4 1.678804-3 1.643500+4 1.900000-3 1.198324+4 2.137962-3 8.801017+3 2.398833-3 6.467744+3 2.722701-3 4.575135+3 3.090295-3 3.212503+3 3.507519-3 2.238309+3 4.000000-3 1.526592+3 4.570882-3 1.026833+3 5.188000-3 6.995828+2 5.888437-3 4.732879+2 6.683439-3 3.179268+2 7.673615-3 2.044315+2 8.810489-3 1.304831+2 1.023293-2 7.959374+1 1.188502-2 4.817055+1 1.380384-2 2.893548+1 1.603245-2 1.725822+1 1.883649-2 9.818537+0 2.213095-2 5.545081+0 2.630268-2 2.984036+0 3.162278-2 1.529255+0 3.845918-2 7.459907-1 4.954502-2 2.919228-1 9.885531-2 2.217668-2 1.230269-1 9.860401-3 1.462177-1 5.237504-3 1.698244-1 3.048014-3 1.927525-1 1.940836-3 2.187762-1 1.244899-3 2.454709-1 8.376256-4 2.722701-1 5.904753-4 3.019952-1 4.193327-4 3.311311-1 3.114902-4 3.630781-1 2.329543-4 3.981072-1 1.754769-4 4.365158-1 1.331967-4 4.731513-1 1.053344-4 5.128614-1 8.383642-5 5.559043-1 6.717109-5 6.025596-1 5.417473-5 6.531306-1 4.399210-5 7.079458-1 3.596152-5 7.673615-1 2.959109-5 8.511380-1 2.322001-5 9.120108-1 1.987775-5 9.772372-1 1.712570-5 1.071519+0 1.417572-5 1.174898+0 1.181696-5 1.288250+0 9.932782-6 1.428894+0 8.229125-6 1.621810+0 6.590362-6 1.819701+0 5.423244-6 2.044000+0 4.487100-6 2.317395+0 3.685508-6 2.630268+0 3.044270-6 3.019952+0 2.490189-6 3.507519+0 2.018938-6 4.120975+0 1.623824-6 4.841724+0 1.315577-6 5.754399+0 1.057870-6 7.000000+0 8.321700-7 8.912509+0 6.251153-7 1.161449+1 4.614896-7 1.479108+1 3.524465-7 2.000000+1 2.536200-7 2.818383+1 1.759202-7 4.415704+1 1.099903-7 7.498942+1 6.380726-8 1.445440+2 3.275168-8 2.884032+2 1.632467-8 1.148154+3 4.082979-9 1.000000+5 4.67960-11 1 29000 7 0 6.354000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 7.786000-5 1.971300-5 1.000000+5 1.971300-5 1 29000 7 7 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 7.786000-5 1.627700-9 1.000000+5 1.627700-9 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 7.786000-5 5.814537-5 1.000000+5 1.000000+5 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.009000-5 1.879096+6 1.071519-5 1.914179+6 1.135011-5 1.965039+6 1.230269-5 2.057886+6 1.717908-5 2.568331+6 2.000000-5 2.823936+6 2.317395-5 3.072982+6 2.722701-5 3.348999+6 3.198895-5 3.620574+6 3.589219-5 3.803998+6 4.000000-5 3.956384+6 4.365158-5 4.054440+6 4.731513-5 4.116615+6 5.069907-5 4.143080+6 5.432503-5 4.138968+6 5.821032-5 4.103489+6 6.165950-5 4.048243+6 6.531306-5 3.970222+6 6.918310-5 3.872241+6 7.413102-5 3.730032+6 8.000000-5 3.549496+6 8.609938-5 3.358023+6 9.332543-5 3.136284+6 1.011579-4 2.907151+6 1.096478-4 2.676034+6 1.190000-4 2.439680+6 1.273503-4 2.244641+6 1.364583-4 2.047220+6 1.450000-4 1.876036+6 1.548817-4 1.694853+6 1.650000-4 1.526892+6 1.760000-4 1.364724+6 1.905461-4 1.178967+6 2.041738-4 1.031592+6 2.187762-4 8.979305+5 2.371374-4 7.583519+5 2.580000-4 6.300520+5 2.786121-4 5.278627+5 2.985383-4 4.474169+5 3.235937-4 3.664801+5 3.507519-4 2.982752+5 3.845918-4 2.339540+5 4.216965-4 1.820793+5 4.623810-4 1.406749+5 5.128614-4 1.043992+5 5.688529-4 7.687549+4 6.309573-4 5.618668+4 7.000000-4 4.074080+4 7.762471-4 2.936780+4 8.709636-4 2.024852+4 9.660509-4 1.439165+4 1.083927-3 9.778698+3 1.216186-3 6.598840+3 1.380384-3 4.248251+3 1.566751-3 2.713712+3 1.778279-3 1.720451+3 2.018366-3 1.082698+3 2.290868-3 6.765937+2 2.600160-3 4.197917+2 2.951209-3 2.585990+2 3.349654-3 1.581724+2 3.801894-3 9.604999+1 4.315191-3 5.791995+1 4.841724-3 3.632482+1 5.559043-3 2.058105+1 6.382635-3 1.157421+1 7.413102-3 6.157035+0 8.709636-3 3.095886+0 1.059254-2 1.331718+0 1.273503-2 5.976761-1 1.513561-2 2.799901-1 1.840772-2 1.175604-1 2.187762-2 5.430083-2 2.786121-2 1.825308-2 5.370318-2 9.317139-4 6.839116-2 3.133948-4 8.317638-2 1.306261-4 9.885531-2 6.078127-5 1.148154-1 3.153747-5 1.318257-1 1.733274-5 1.500000-1 9.976100-6 1.698244-1 5.910956-6 1.905461-1 3.663784-6 2.137962-1 2.287558-6 2.371374-1 1.507469-6 2.630268-1 1.000599-6 2.917427-1 6.693934-7 3.198895-1 4.715253-7 3.507519-1 3.343795-7 3.845918-1 2.387399-7 4.265795-1 1.647062-7 4.677351-1 1.193360-7 5.069907-1 9.064219-8 5.495409-1 6.934509-8 6.025596-1 5.145310-8 6.606935-1 3.843814-8 7.161434-1 2.997975-8 7.762471-1 2.353840-8 8.511380-1 1.788076-8 8.912509-1 1.565163-8 9.332543-1 1.378158-8 9.772372-1 1.222246-8 1.011579+0 1.123216-8 1.059254+0 1.010584-8 1.109175+0 9.155759-9 1.161449+0 8.346758-9 1.230269+0 7.493256-9 1.333521+0 6.502361-9 1.479108+0 5.466896-9 1.819701+0 3.840627-9 2.018366+0 3.239141-9 2.290868+0 2.653797-9 2.600160+0 2.190657-9 2.985383+0 1.790870-9 3.467369+0 1.451109-9 4.073803+0 1.166496-9 4.786301+0 9.44592-10 5.688529+0 7.59168-10 6.918310+0 5.97097-10 8.709636+0 4.54285-10 1.122018+1 3.39493-10 1.445440+1 2.55720-10 1.972423+1 1.82126-10 2.754229+1 1.27514-10 4.315191+1 7.96932-11 7.161434+1 4.73158-11 1.364583+2 2.45582-11 2.722701+2 1.22374-11 1.083927+3 3.05976-12 1.000000+5 3.31050-14 1 29000 7 0 6.354000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.009000-5 1.009000-5 1.000000+5 1.009000-5 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.009000-5 0.0 1.000000+5 1.000000+5 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 9.800000-6 2.856276+6 1.035142-5 2.917315+6 1.100000-5 3.009132+6 1.200000-5 3.174828+6 1.584893-5 3.828793+6 1.819701-5 4.173222+6 2.113489-5 4.546071+6 2.454709-5 4.917477+6 2.900000-5 5.327952+6 3.311311-5 5.643674+6 3.715352-5 5.895366+6 4.073803-5 6.065764+6 4.415704-5 6.181458+6 4.731513-5 6.246943+6 5.069907-5 6.272260+6 5.432503-5 6.255024+6 5.800000-5 6.193200+6 6.165950-5 6.095281+6 6.531306-5 5.970762+6 6.918310-5 5.814124+6 7.413102-5 5.592749+6 7.943282-5 5.341279+6 8.609938-5 5.020803+6 9.225714-5 4.731552+6 1.011579-4 4.336418+6 1.096478-4 3.985383+6 1.174898-4 3.686018+6 1.273503-4 3.336646+6 1.350000-4 3.086358+6 1.450000-4 2.784456+6 1.540000-4 2.536002+6 1.650000-4 2.263212+6 1.778279-4 1.983224+6 1.905461-4 1.744474+6 2.065380-4 1.491313+6 2.264644-4 1.235239+6 2.454709-4 1.038993+6 2.630268-4 8.899042+5 2.820000-4 7.567260+5 3.054921-4 6.236167+5 3.311311-4 5.096582+5 3.589219-4 4.137433+5 3.935501-4 3.235430+5 4.315191-4 2.511664+5 4.731513-4 1.936118+5 5.188000-4 1.482542+5 5.754399-4 1.089820+5 6.382635-4 7.953753+4 7.079458-4 5.763268+4 7.852356-4 4.145100+4 8.810489-4 2.852443+4 9.885531-4 1.947506+4 1.109175-3 1.320220+4 1.244515-3 8.888882+3 1.412538-3 5.708349+3 1.603245-3 3.636893+3 1.819701-3 2.299382+3 2.065380-3 1.443148+3 2.344229-3 8.994946+2 2.660725-3 5.566260+2 3.019952-3 3.419725+2 3.427678-3 2.085897+2 3.890451-3 1.262894+2 4.365158-3 7.950672+1 4.954502-3 4.734502+1 5.688529-3 2.668147+1 6.683439-3 1.355161+1 7.762471-3 7.171303+0 9.120108-3 3.586998+0 1.109175-2 1.533773+0 1.318257-2 7.195079-1 1.566751-2 3.350269-1 1.883649-2 1.470675-1 2.238721-2 6.748056-2 2.818383-2 2.367192-2 5.821032-2 8.550190-4 7.328245-2 3.000014-4 8.912509-2 1.240787-4 1.047129-1 6.041318-5 1.202264-1 3.282041-5 1.364583-1 1.889433-5 1.531088-1 1.151794-5 1.698244-1 7.426188-6 1.883649-1 4.821107-6 2.089296-1 3.152932-6 2.290868-1 2.176220-6 2.511886-1 1.513181-6 2.722701-1 1.108383-6 2.951209-1 8.173615-7 3.198895-1 6.069964-7 3.467369-1 4.539938-7 3.758374-1 3.419715-7 4.120975-1 2.494397-7 4.466836-1 1.906516-7 4.786301-1 1.523955-7 5.069907-1 1.270850-7 5.432503-1 1.028738-7 5.888437-1 8.099899-8 6.382635-1 6.421420-8 6.918310-1 5.128108-8 7.585776-1 4.001442-8 8.128305-1 3.339144-8 8.709636-1 2.806688-8 9.225714-1 2.444199-8 9.772372-1 2.142818-8 1.035142+0 1.892189-8 1.109175+0 1.640654-8 1.188600+0 1.432700-8 1.318257+0 1.184144-8 1.479108+0 9.658064-9 1.698244+0 7.605929-9 1.905461+0 6.274635-9 2.137962+0 5.214915-9 2.426610+0 4.287614-9 2.754229+0 3.550628-9 3.162278+0 2.911454-9 3.672823+0 2.366052-9 4.315191+0 1.907094-9 5.128614+0 1.525716-9 6.237348+0 1.195264-9 7.498942+0 9.56524-10 9.332543+0 7.39673-10 1.202264+1 5.54003-10 1.513561+1 4.28914-10 2.018366+1 3.13448-10 2.818383+1 2.19577-10 4.365158+1 1.38934-10 7.328245+1 8.15397-11 1.396368+2 4.23322-11 2.786121+2 2.10955-11 1.109175+3 5.27543-12 1.000000+5 5.84090-14 1 29000 7 0 6.354000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 9.800000-6 9.800000-6 1.000000+5 9.800000-6 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 9.800000-6 0.0 1.000000+5 1.000000+5 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 7.110000-6 1.398650+6 7.328245-6 1.184722+6 7.600000-6 9.618950+5 7.852356-6 7.935760+5 8.128305-6 6.434854+5 8.420000-6 5.154110+5 8.700000-6 4.163680+5 8.920000-6 3.517200+5 9.120108-6 3.013694+5 9.350000-6 2.519780+5 9.600000-6 2.069240+5 9.772372-6 1.803242+5 1.000000-5 1.499640+5 1.020000-5 1.271590+5 1.035142-5 1.119903+5 1.055000-5 9.450600+4 1.071519-5 8.180722+4 1.089200-5 6.985123+4 1.105000-5 6.044370+4 1.122018-5 5.150777+4 1.135011-5 4.544000+4 1.150000-5 3.917070+4 1.165000-5 3.360730+4 1.180000-5 2.868520+4 1.190000-5 2.572900+4 1.203000-5 2.224270+4 1.216186-5 1.908618+4 1.226000-5 1.696550+4 1.235000-5 1.518020+4 1.245000-5 1.336410+4 1.255600-5 1.161936+4 1.265000-5 1.021700+4 1.275000-5 8.864770+3 1.285000-5 7.647200+3 1.295000-5 6.555340+3 1.303167-5 5.751061+3 1.312700-5 4.905504+3 1.320000-5 4.322150+3 1.327000-5 3.812200+3 1.335000-5 3.285660+3 1.342000-5 2.871710+3 1.350000-5 2.449280+3 1.357200-5 2.112928+3 1.365000-5 1.792950+3 1.390000-5 1.050600+3 1.397000-5 9.130610+2 1.402000-5 8.320280+2 1.406000-5 7.771280+2 1.410000-5 7.307790+2 1.413500-5 6.970380+2 1.417000-5 6.694910+2 1.420000-5 6.506860+2 1.423000-5 6.362160+2 1.426000-5 6.259850+2 1.429400-5 6.193937+2 1.432000-5 6.178620+2 1.435000-5 6.197870+2 1.437000-5 6.232280+2 1.440000-5 6.315590+2 1.443500-5 6.459830+2 1.447000-5 6.653480+2 1.451000-5 6.933600+2 1.455000-5 7.274620+2 1.460000-5 7.783720+2 1.465000-5 8.381560+2 1.472000-5 9.361100+2 1.496236-5 1.392080+3 1.507000-5 1.646490+3 1.515000-5 1.853900+3 1.522000-5 2.047290+3 1.531087-5 2.313804+3 1.540000-5 2.590960+3 1.550000-5 2.918990+3 1.560000-5 3.263520+3 1.570000-5 3.623040+3 1.580000-5 3.996140+3 1.590000-5 4.381480+3 1.603245-5 4.908634+3 1.616600-5 5.456976+3 1.630000-5 6.021660+3 1.645000-5 6.668120+3 1.660000-5 7.326900+3 1.675000-5 7.995330+3 1.690000-5 8.670990+3 1.705000-5 9.351720+3 1.720000-5 1.003560+4 1.740000-5 1.094920+4 1.760000-5 1.186160+4 1.785000-5 1.299550+4 1.808000-5 1.402810+4 1.834300-5 1.519186+4 1.862087-5 1.639729+4 1.885000-5 1.736990+4 1.920000-5 1.881390+4 1.950000-5 2.000830+4 1.990000-5 2.153490+4 2.020000-5 2.262820+4 2.065380-5 2.419885+4 2.113489-5 2.575210+4 2.162719-5 2.722403+4 2.213095-5 2.861034+4 2.272000-5 3.008402+4 2.344229-5 3.168710+4 2.426610-5 3.326349+4 2.511886-5 3.463993+4 2.610000-5 3.593900+4 2.691535-5 3.681513+4 2.800000-5 3.773400+4 2.917427-5 3.846054+4 3.054921-5 3.902126+4 3.198895-5 3.933774+4 3.350000-5 3.943370+4 3.548134-5 3.928301+4 3.758374-5 3.888100+4 4.027170-5 3.812884+4 4.365158-5 3.696319+4 4.731513-5 3.557369+4 5.188000-5 3.378895+4 5.754399-5 3.164101+4 6.382635-5 2.942085+4 7.161434-5 2.692026+4 8.000000-5 2.453140+4 8.810489-5 2.247789+4 9.800000-5 2.025920+4 1.083927-4 1.821904+4 1.202264-4 1.620040+4 1.333521-4 1.428979+4 1.479108-4 1.250871+4 1.659587-4 1.070976+4 1.927525-4 8.674192+3 2.290868-4 6.743065+3 2.951209-4 4.616256+3 3.935501-4 2.993061+3 4.677351-4 2.296169+3 5.188000-4 1.948121+3 5.956621-4 1.552340+3 7.000000-4 1.180480+3 8.810489-4 7.919533+2 1.035142-3 5.933318+2 1.202264-3 4.504052+2 1.428894-3 3.251367+2 1.717908-3 2.279501+2 2.018366-3 1.659129+2 2.398833-3 1.169730+2 2.917427-3 7.806245+1 3.555660-3 5.160855+1 4.073803-3 3.858762+1 4.677351-3 2.848176+1 5.432503-3 2.034302+1 6.456542-3 1.367788+1 7.585776-3 9.369312+0 8.912509-3 6.366872+0 1.035142-2 4.415054+0 1.216186-2 2.953970+0 1.428894-2 1.961196+0 1.678804-2 1.292279+0 1.972423-2 8.452289-1 2.317395-2 5.487802-1 2.754229-2 3.428011-1 3.273407-2 2.124698-1 3.935501-2 1.265258-1 4.731513-2 7.477391-2 5.688529-2 4.385587-2 7.079458-2 2.308419-2 9.120108-2 1.088958-2 1.122019-1 5.854095-3 1.737801-1 1.572767-3 2.264644-1 7.151099-4 2.660725-1 4.456174-4 3.090295-1 2.893827-4 3.507519-1 2.022269-4 3.935501-1 1.470015-4 4.415705-1 1.076650-4 4.897788-1 8.193675-5 5.432503-1 6.283299-5 6.000000-1 4.908000-5 6.606935-1 3.891844-5 7.244360-1 3.139907-5 7.943282-1 2.551149-5 8.709636-1 2.087272-5 9.549926-1 1.720783-5 1.059254+0 1.397139-5 1.188600+0 1.114800-5 1.318257+0 9.166920-6 1.462177+0 7.588773-6 1.621810+0 6.325759-6 1.819701+0 5.206392-6 2.044000+0 4.308400-6 2.317395+0 3.538628-6 2.630268+0 2.922974-6 3.019952+0 2.391032-6 3.507519+0 1.938516-6 4.120975+0 1.559163-6 4.841724+0 1.263261-6 5.821032+0 1.001328-6 7.079458+0 7.882611-7 9.015711+0 5.922198-7 1.174898+1 4.373894-7 1.479108+1 3.384117-7 2.000000+1 2.435200-7 2.800000+1 1.700900-7 4.365158+1 1.068810-7 7.328245+1 6.272592-8 1.396368+2 3.256523-8 2.786121+2 1.622858-8 1.109175+3 4.058259-9 1.000000+5 4.49330-11 1 29000 7 0 6.354000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 7.110000-6 7.110000-6 1.000000+5 7.110000-6 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 7.110000-6 0.0 1.000000+5 1.000000+5 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.930790-8 1.028750+0 3.930790-7 1.032000+0 1.266610-6 1.033200+0 1.774310-6 1.034000+0 2.178120-6 1.035300+0 2.956500-6 1.036640+0 3.930790-6 1.038200+0 5.304730-6 1.039700+0 6.891910-6 1.041500+0 9.169600-6 1.043800+0 1.272770-5 1.046400+0 1.770820-5 1.048300+0 2.204720-5 1.051200+0 2.990660-5 1.054080+0 3.930790-5 1.057700+0 5.357920-5 1.061100+0 6.969300-5 1.065100+0 9.226570-5 1.070400+0 1.287200-4 1.076200+0 1.778910-4 1.080600+0 2.221560-4 1.087100+0 2.993180-4 1.093710+0 3.930790-4 1.102600+0 5.450010-4 1.110700+0 7.107930-4 1.120600+0 9.508340-4 1.133300+0 1.322090-3 1.147500+0 1.825420-3 1.158200+0 2.268540-3 1.174100+0 3.031930-3 1.190110+0 3.930790-3 1.205100+0 4.892650-3 1.227500+0 6.547950-3 1.250000+0 8.463000-3 1.265600+0 9.929300-3 1.294900+0 1.296900-2 1.331800+0 1.728090-2 1.362600+0 2.124890-2 1.411700+0 2.819770-2 1.455800+0 3.503790-2 1.500000+0 4.246000-2 1.562500+0 5.394830-2 1.617200+0 6.492570-2 1.712900+0 8.601120-2 1.784700+0 1.032050-1 1.892300+0 1.306620-1 2.000000+0 1.594000-1 2.044000+0 1.713000-1 2.163500+0 2.041310-1 2.372600+0 2.628130-1 2.647100+0 3.404090-1 3.000000+0 4.388000-1 3.437500+0 5.562110-1 4.000000+0 6.983000-1 4.750000+0 8.724680-1 5.000000+0 9.272000-1 6.000000+0 1.131000+0 7.000000+0 1.312000+0 8.000000+0 1.474000+0 9.000000+0 1.621000+0 1.000000+1 1.755000+0 1.100000+1 1.875000+0 1.200000+1 1.986000+0 1.300000+1 2.089000+0 1.400000+1 2.185000+0 1.500000+1 2.274000+0 1.600000+1 2.357000+0 1.800000+1 2.510000+0 2.000000+1 2.646000+0 2.200000+1 2.770000+0 2.400000+1 2.882000+0 2.600000+1 2.985000+0 2.800000+1 3.079000+0 3.000000+1 3.166000+0 4.000000+1 3.521000+0 5.000000+1 3.787000+0 6.000000+1 3.995000+0 8.000000+1 4.304000+0 1.000000+2 4.525000+0 1.500000+2 4.876000+0 2.000000+2 5.087000+0 3.000000+2 5.332000+0 4.000000+2 5.473000+0 5.000000+2 5.566000+0 6.000000+2 5.632000+0 8.000000+2 5.720000+0 1.000000+3 5.778000+0 1.500000+3 5.860000+0 2.000000+3 5.905000+0 3.000000+3 5.954000+0 4.000000+3 5.980000+0 5.000000+3 5.996000+0 6.000000+3 6.008000+0 8.000000+3 6.023000+0 1.000000+4 6.032000+0 1.500000+4 6.045000+0 2.000000+4 6.052000+0 3.000000+4 6.060000+0 4.000000+4 6.064000+0 5.000000+4 6.066000+0 6.000000+4 6.067000+0 8.000000+4 6.070000+0 1.000000+5 6.071000+0 1 29000 7 8 6.354000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 2.911900-7 2.114000+0 1.312690-6 2.119500+0 1.634290-6 2.127900+0 2.216400-6 2.136250+0 2.911900-6 2.147000+0 3.992420-6 2.156900+0 5.185670-6 2.169000+0 6.920610-6 2.184500+0 9.619870-6 2.201800+0 1.330940-5 2.214800+0 1.658240-5 2.234200+0 2.230630-5 2.253680+0 2.911900-5 2.281500+0 4.078630-5 2.307000+0 5.357270-5 2.338200+0 7.203320-5 2.377400+0 9.975750-5 2.410200+0 1.268750-4 2.446800+0 1.613920-4 2.485900+0 2.032010-4 2.532900+0 2.600540-4 2.556430+0 2.911900-4 2.611900+0 3.712980-4 2.660400+0 4.488770-4 2.745300+0 6.007880-4 2.809000+0 7.275850-4 2.904500+0 9.372930-4 3.000000+0 1.170000-3 3.125000+0 1.508730-3 3.234400+0 1.835880-3 3.425800+0 2.472520-3 3.569300+0 2.998440-3 3.784700+0 3.855010-3 4.000000+0 4.776000-3 4.250000+0 5.902120-3 4.625000+0 7.672040-3 5.000000+0 9.512000-3 5.500000+0 1.203770-2 6.000000+0 1.460000-2 6.750000+0 1.842180-2 7.000000+0 1.968000-2 8.000000+0 2.460000-2 9.000000+0 2.931000-2 1.000000+1 3.379000-2 1.100000+1 3.804000-2 1.200000+1 4.205000-2 1.300000+1 4.583000-2 1.400000+1 4.943000-2 1.500000+1 5.285000-2 1.600000+1 5.610000-2 1.800000+1 6.212000-2 2.000000+1 6.762000-2 2.200000+1 7.266000-2 2.400000+1 7.731000-2 2.600000+1 8.161000-2 2.800000+1 8.560000-2 3.000000+1 8.932000-2 4.000000+1 1.048000-1 5.000000+1 1.167000-1 6.000000+1 1.261000-1 8.000000+1 1.405000-1 1.000000+2 1.510000-1 1.500000+2 1.685000-1 2.000000+2 1.796000-1 3.000000+2 1.932000-1 4.000000+2 2.013000-1 5.000000+2 2.069000-1 6.000000+2 2.110000-1 8.000000+2 2.166000-1 1.000000+3 2.204000-1 1.500000+3 2.259000-1 2.000000+3 2.291000-1 3.000000+3 2.325000-1 4.000000+3 2.346000-1 5.000000+3 2.358000-1 6.000000+3 2.367000-1 8.000000+3 2.378000-1 1.000000+4 2.386000-1 1.500000+4 2.396000-1 2.000000+4 2.401000-1 3.000000+4 2.407000-1 4.000000+4 2.410000-1 5.000000+4 2.413000-1 6.000000+4 2.414000-1 8.000000+4 2.415000-1 1.000000+5 2.417000-1 1 29000 7 8 6.354000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 29000 7 9 6.354000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 2.900000+1 1.000000+5 2.900000+1 5.000000+5 2.898400+1 8.750000+5 2.897030+1 1.000000+6 2.896700+1 1.375000+6 2.895410+1 1.500000+6 2.894700+1 1.875000+6 2.891750+1 2.000000+6 2.890600+1 2.500000+6 2.885400+1 3.000000+6 2.879100+1 3.500000+6 2.871700+1 4.000000+6 2.863500+1 4.500000+6 2.854620+1 5.000000+6 2.844800+1 5.687500+6 2.829340+1 6.437500+6 2.810880+1 6.500000+6 2.809340+1 7.000000+6 2.796200+1 7.500000+6 2.782390+1 8.250000+6 2.760710+1 9.000000+6 2.738700+1 1.000000+7 2.708100+1 1.125000+7 2.667250+1 1.187500+7 2.645860+1 1.250000+7 2.624300+1 1.437500+7 2.557780+1 1.500000+7 2.535600+1 1.750000+7 2.446100+1 2.000000+7 2.353800+1 2.250000+7 2.261080+1 2.500000+7 2.168800+1 2.750000+7 2.077330+1 2.875000+7 2.031800+1 3.000000+7 1.986900+1 3.250000+7 1.897820+1 3.437500+7 1.832620+1 3.578100+7 1.785030+1 3.859400+7 1.692520+1 4.000000+7 1.648100+1 4.437500+7 1.517170+1 4.500000+7 1.499510+1 4.812500+7 1.414620+1 5.000000+7 1.366700+1 5.500000+7 1.249160+1 5.750000+7 1.195930+1 6.000000+7 1.146400+1 6.750000+7 1.017660+1 7.000000+7 9.809100+0 7.750000+7 8.871860+0 8.000000+7 8.607800+0 8.750000+7 7.938440+0 9.000000+7 7.749200+0 9.750000+7 7.263760+0 1.000000+8 7.123500+0 1.125000+8 6.534990+0 1.250000+8 6.061900+0 1.375000+8 5.648590+0 1.437500+8 5.454130+0 1.500000+8 5.264800+0 1.589800+8 4.998120+0 1.665000+8 4.776540+0 1.748800+8 4.530720+0 1.750000+8 4.527210+0 1.838500+8 4.266880+0 1.919300+8 4.029420+0 2.000000+8 3.793300+0 2.062500+8 3.612610+0 2.281300+8 3.053320+0 2.375000+8 2.864320+0 2.390600+8 2.835950+0 2.472700+8 2.702760+0 2.500000+8 2.664100+0 2.562500+8 2.586050+0 2.808600+8 2.328850+0 2.875000+8 2.258040+0 2.877000+8 2.255860+0 2.959000+8 2.161210+0 3.000000+8 2.110300+0 3.062500+8 2.028250+0 3.308600+8 1.720440+0 3.377000+8 1.652050+0 3.459000+8 1.584320+0 3.500000+8 1.556600+0 3.562500+8 1.522480+0 3.617200+8 1.498910+0 3.712900+8 1.467620+0 4.000000+8 1.398900+0 4.125000+8 1.362510+0 4.234400+8 1.326460+0 5.000000+8 1.083400+0 6.000000+8 9.070000-1 6.250000+8 8.651220-1 7.000000+8 7.498000-1 7.625000+8 6.753870-1 7.875000+8 6.460200-1 8.000000+8 6.308000-1 8.250000+8 5.990360-1 8.564500+8 5.581140-1 8.827600+8 5.242860-1 9.246300+8 4.730070-1 9.811600+8 4.113050-1 1.000000+9 3.929000-1 1.125000+9 2.948990-1 1.218800+9 2.413130-1 1.315400+9 1.980920-1 1.381300+9 1.738530-1 1.460400+9 1.491270-1 1.500000+9 1.382700-1 1.562500+9 1.228790-1 1.671900+9 1.004020-1 1.753900+9 8.666610-2 1.877000+9 6.999500-2 2.000000+9 5.705100-2 2.187500+9 4.248640-2 2.363300+9 3.278710-2 2.528100+9 2.606160-2 2.837100+9 1.748200-2 3.225700+9 1.111450-2 3.758000+9 6.424690-3 4.379000+9 3.685190-3 5.000000+9 2.268900-3 8.000000+9 4.052700-4 9.500000+9 2.165700-4 1.00000+10 1.797900-4 1.20500+10 9.192400-5 1.41820+10 5.151350-5 1.71170+10 2.659750-5 2.01490+10 1.508980-5 2.26440+10 1.009160-5 2.74790+10 5.211380-6 3.41360+10 2.505110-6 4.02450+10 1.444930-6 4.77140+10 8.217210-7 5.73000+10 4.500910-7 7.25500+10 2.086050-7 9.31370+10 9.313080-8 1.00000+11 7.412600-8 1.34280+11 2.894310-8 1.77440+11 1.198940-8 2.20390+11 6.072530-9 3.19980+11 1.903210-9 4.48160+11 6.73863-10 7.69150+11 1.29906-10 1.68320+12 1.23613-11 4.67300+12 6.04390-13 1.00000+14 8.18280-17 5.62340+14 5.23716-19 7.49890+15 2.48096-22 1.00000+17 1.11860-25 1 29000 7 0 6.354000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 3.60000-12 1.000000+2 3.60000-10 1.000000+3 3.600000-8 1.000000+4 3.600000-6 1.000000+5 3.600000-4 5.000000+5 9.000000-3 8.750000+5 2.756250-2 1.000000+6 3.600000-2 1.375000+6 6.834960-2 1.500000+6 8.130000-2 1.875000+6 1.260730-1 2.000000+6 1.430000-1 2.500000+6 2.205000-1 3.000000+6 3.125000-1 3.500000+6 4.176700-1 4.000000+6 5.344000-1 4.500000+6 6.610010-1 5.000000+6 7.960000-1 5.687500+6 9.927600-1 6.437500+6 1.218440+0 6.500000+6 1.237670+0 7.000000+6 1.393000+0 7.500000+6 1.550360+0 8.250000+6 1.789000+0 9.000000+6 2.028800+0 1.000000+7 2.348000+0 1.125000+7 2.744900+0 1.187500+7 2.942390+0 1.250000+7 3.139200+0 1.437500+7 3.724810+0 1.500000+7 3.919000+0 1.750000+7 4.691800+0 2.000000+7 5.455000+0 2.250000+7 6.203370+0 2.500000+7 6.931000+0 2.750000+7 7.633460+0 2.875000+7 7.974970+0 3.000000+7 8.310000+0 3.250000+7 8.960520+0 3.437500+7 9.432700+0 3.578100+7 9.778610+0 3.859400+7 1.045060+1 4.000000+7 1.077800+1 4.437500+7 1.175760+1 4.500000+7 1.189380+1 4.812500+7 1.255560+1 5.000000+7 1.294200+1 5.500000+7 1.392630+1 5.750000+7 1.439390+1 6.000000+7 1.484700+1 6.750000+7 1.610580+1 7.000000+7 1.649400+1 7.750000+7 1.755960+1 8.000000+7 1.788500+1 8.750000+7 1.877310+1 9.000000+7 1.904300+1 9.750000+7 1.977740+1 1.000000+8 2.000200+1 1.125000+8 2.098590+1 1.250000+8 2.180200+1 1.375000+8 2.249670+1 1.437500+8 2.281120+1 1.500000+8 2.310700+1 1.589800+8 2.350320+1 1.665000+8 2.381150+1 1.748800+8 2.413140+1 1.750000+8 2.413570+1 1.838500+8 2.444820+1 1.919300+8 2.471220+1 2.000000+8 2.495700+1 2.062500+8 2.513440+1 2.281300+8 2.567880+1 2.375000+8 2.587740+1 2.390600+8 2.590970+1 2.472700+8 2.606810+1 2.500000+8 2.611900+1 2.562500+8 2.622560+1 2.808600+8 2.659470+1 2.875000+8 2.668150+1 2.877000+8 2.668390+1 2.959000+8 2.678190+1 3.000000+8 2.683000+1 3.062500+8 2.689690+1 3.308600+8 2.713460+1 3.377000+8 2.719160+1 3.459000+8 2.725820+1 3.500000+8 2.729100+1 3.562500+8 2.733630+1 3.617200+8 2.737530+1 3.712900+8 2.744240+1 4.000000+8 2.762200+1 4.125000+8 2.769020+1 4.234400+8 2.774830+1 5.000000+8 2.809500+1 6.000000+8 2.841800+1 6.250000+8 2.847890+1 7.000000+8 2.863400+1 7.625000+8 2.872660+1 7.875000+8 2.875710+1 8.000000+8 2.877200+1 8.250000+8 2.879650+1 8.564500+8 2.882500+1 8.827600+8 2.884430+1 9.246300+8 2.887390+1 9.811600+8 2.890280+1 1.000000+9 2.891200+1 1.125000+9 2.895160+1 1.218800+9 2.896600+1 1.315400+9 2.897960+1 1.381300+9 2.898350+1 1.460400+9 2.898790+1 1.500000+9 2.899000+1 1.562500+9 2.899110+1 1.671900+9 2.899300+1 1.753900+9 2.899430+1 1.877000+9 2.899620+1 2.000000+9 2.899800+1 2.187500+9 2.899820+1 2.363300+9 2.899840+1 2.528100+9 2.899850+1 2.837100+9 2.899880+1 3.225700+9 2.899900+1 3.758000+9 2.899940+1 4.379000+9 2.899970+1 5.000000+9 2.900000+1 8.000000+9 2.900000+1 9.500000+9 2.900000+1 1.00000+10 2.900000+1 1.20500+10 2.900000+1 1.41820+10 2.900000+1 1.71170+10 2.900000+1 2.01490+10 2.900000+1 2.26440+10 2.900000+1 2.74790+10 2.900000+1 3.41360+10 2.900000+1 4.02450+10 2.900000+1 4.77140+10 2.900000+1 5.73000+10 2.900000+1 7.25500+10 2.900000+1 9.31370+10 2.900000+1 1.00000+11 2.900000+1 1.34280+11 2.900000+1 1.77440+11 2.900000+1 2.20390+11 2.900000+1 3.19980+11 2.900000+1 4.48160+11 2.900000+1 7.69150+11 2.900000+1 1.68320+12 2.900000+1 4.67300+12 2.900000+1 1.00000+14 2.900000+1 5.62340+14 2.900000+1 7.49890+15 2.900000+1 1.00000+17 2.900000+1 1 29000 7 0 6.354000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.608183-6 0.0 2.614603-6 1.550525-8 2.621022-6 3.068061-8 2.627442-6 5.604065-8 2.633862-6 9.449224-8 2.640281-6 1.470764-7 2.646701-6 2.113215-7 2.653121-6 2.802840-7 2.659541-6 3.431679-7 2.665960-6 3.878547-7 2.672380-6 4.046555-7 2.678800-6 3.897227-7 2.685219-6 3.464814-7 2.691639-6 2.843531-7 2.704479-6 1.506525-7 2.710898-6 9.725599-8 2.717318-6 5.795761-8 2.723738-6 3.188296-8 2.730157-6 1.619052-8 2.736577-6 0.0 2.908208-6 0.0 2.915366-6 1.350292-8 2.922525-6 2.671856-8 2.929683-6 4.880363-8 2.936841-6 8.228963-8 2.943999-6 1.280831-7 2.951157-6 1.840317-7 2.958315-6 2.440885-7 2.965474-6 2.988517-7 2.972632-6 3.377677-7 2.979790-6 3.523988-7 2.986948-6 3.393944-7 2.994106-6 3.017372-7 3.001265-6 2.476322-7 3.015581-6 1.311974-7 3.022739-6 8.469648-8 3.029897-6 5.047304-8 3.037055-6 2.776564-8 3.044214-6 1.409970-8 3.051372-6 0.0 3.598781-6 0.0 3.614282-6 1.540923+0 3.616496-6 1.758809+0 3.625354-6 3.212609+0 3.629709-6 4.294985+0 3.634212-6 6.314255+0 3.643070-6 1.107730+1 3.648694-6 1.467469+1 3.657628-6 2.162602+1 3.668656-6 3.208699+1 3.683314-6 4.705114+1 3.692806-6 5.528829+1 3.703127-6 6.084487+1 3.710578-6 6.232996+1 3.719870-6 6.003190+1 3.729589-6 5.348523+1 3.741961-6 4.117249+1 3.754786-6 2.717421+1 3.763720-6 1.858948+1 3.772654-6 1.152557+1 3.775939-6 9.522162+0 3.781588-6 6.662992+0 3.790523-6 3.665366+0 3.803924-6 9.317510-1 3.808391-6 0.0 4.670238-6 0.0 4.681733-6 2.21401-15 4.693228-6 4.38091-15 4.704724-6 8.00209-15 4.716219-6 1.34926-14 4.727714-6 2.10011-14 4.739209-6 3.01747-14 4.750704-6 4.00220-14 4.762200-6 4.90012-14 4.773695-6 5.53821-14 4.785190-6 5.77811-14 4.796685-6 5.56488-14 4.808180-6 4.94743-14 4.819676-6 4.06030-14 4.842666-6 2.15118-14 4.854161-6 1.38873-14 4.865656-6 8.27581-15 4.877152-6 4.55259-15 4.888647-6 2.31186-15 4.900142-6 0.0 5.467709-6 0.0 5.477167-6 2.769399-2 5.494625-6 1.886864-1 5.504129-6 2.935095-1 5.509274-6 3.746637-1 5.517611-6 5.221618-1 5.531092-6 8.586263-1 5.545648-6 1.346682+0 5.582557-6 2.760211+0 5.590747-6 2.992421+0 5.604280-6 3.212026+0 5.613218-6 3.227696+0 5.627041-6 3.022936+0 5.644589-6 2.472461+0 5.673457-6 1.336696+0 5.683038-6 1.001940+0 5.692868-6 7.131696-1 5.706349-6 4.199538-1 5.713193-6 3.193359-1 5.719831-6 2.284418-1 5.736871-6 6.605624-2 5.746793-6 2.438281-6 5.753685-6 1.527987-7 5.754453-6 0.0 6.115553-6 0.0 6.119584-6 2.512914-3 6.145659-6 5.479129-2 6.149709-6 6.448532-2 6.160711-6 1.009230-1 6.164772-6 1.165213-1 6.179835-6 1.944919-1 6.194897-6 2.998701-1 6.237892-6 6.660447-1 6.255147-6 1.198306+0 6.268600-6 1.555596+0 6.284977-6 2.217524+0 6.300335-6 3.110163+0 6.317214-6 4.464050+0 6.355813-6 8.197857+0 6.371864-6 9.475272+0 6.380170-6 9.858361+0 6.392257-6 1.010714+1 6.408690-6 9.581710+0 6.427213-6 8.107549+0 6.468199-6 3.802437+0 6.483553-6 2.506144+0 6.498906-6 1.570743+0 6.506998-6 1.255095+0 6.514260-6 1.070236+0 6.539031-6 8.485620-1 6.544968-6 8.557797-1 6.556048-6 1.165583+0 6.572376-6 1.793879+0 6.590334-6 2.733655+0 6.638538-6 5.755019+0 6.655049-6 6.456694+0 6.669887-6 6.734541+0 6.688025-6 6.483852+0 6.702334-6 5.923420+0 6.731085-6 4.146350+0 6.747241-6 3.065976+0 6.763257-6 2.136382+0 6.779311-6 1.407413+0 6.795404-6 8.920071-1 6.813163-6 5.274067-1 6.827322-6 2.615180-1 6.859777-6 1.699269-1 6.969486-6 1.588838-1 7.027609-6 1.495302-1 7.367995-6 1.212436-1 7.783633-6 9.322818-2 8.085349-6 7.701411-2 8.125152-6 2.256559-1 8.145053-6 3.492034-1 8.166197-6 5.530569-1 8.187624-6 8.388939-1 8.245802-6 1.767627+0 8.265703-6 1.977573+0 8.285604-6 2.049461+0 8.305505-6 1.966634+0 8.326038-6 1.737040+0 8.375917-6 9.305967-1 8.385375-6 8.028883-1 8.403766-6 6.053534-1 8.417150-6 5.078421-1 8.423667-6 4.690639-1 8.437766-6 4.345286-1 8.443568-6 4.306931-1 8.458382-6 4.630306-1 8.478999-6 5.510648-1 8.485167-6 5.957503-1 8.540847-6 1.177797+0 8.564041-6 1.337355+0 8.584657-6 1.386364+0 8.605273-6 1.332498+0 8.627110-6 1.174505+0 8.685161-6 5.679864-1 8.705778-6 3.875798-1 8.726394-6 2.534424-1 8.736247-6 2.209932-1 8.747010-6 1.912431-1 8.770722-6 1.620815-1 8.788291-6 1.579497-1 8.792204-6 1.659180-1 8.798165-6 1.847209-1 8.813686-6 2.408747-1 8.835169-6 3.468732-1 8.895655-6 7.179421-1 8.921098-6 8.295670-1 8.942580-6 8.618996-1 8.967531-6 8.159929-1 8.994300-6 6.893766-1 9.028509-6 4.820141-1 9.053888-6 3.731874-1 9.071474-6 3.162979-1 9.091515-6 2.973859-1 9.114438-6 3.355087-1 9.139455-6 4.436188-1 9.158156-6 5.457156-1 9.202583-6 8.642808-1 9.227779-6 9.851625-1 9.252778-6 1.024024+0 9.275481-6 9.897888-1 9.304495-6 8.746565-1 9.347861-6 6.669268-1 9.367198-6 5.993443-1 9.383325-6 5.574730-1 9.405545-6 5.327953-1 9.427766-6 5.372296-1 9.472208-6 5.840362-1 9.518266-6 6.830983-1 9.556997-6 7.244808-1 9.601878-6 7.165427-1 9.668372-6 6.662458-1 9.765442-6 6.541953-1 9.965718-6 6.946027-1 1.161232-5 8.533096-1 1.451000-5 1.227216+0 2.000000-5 2.076081+0 2.960798-5 3.767382+0 4.746000-5 7.056821+0 5.843386-5 8.614275+0 6.914438-5 9.677938+0 6.957215-5 1.011652+1 6.999778-5 1.116312+1 7.056653-5 1.281909+1 7.090369-5 1.288392+1 7.138418-5 1.162911+1 7.178714-5 1.055530+1 7.220132-5 1.018736+1 7.257296-5 1.038257+1 7.325979-5 1.128161+1 7.367325-5 1.126342+1 7.446520-5 1.054560+1 7.522546-5 1.084419+1 7.607452-5 1.109875+1 7.727115-5 1.122937+1 7.871088-5 1.166878+1 1.074608-4 1.119402+1 1.159471-4 1.126361+1 1.183598-4 1.172972+1 1.217107-4 1.161876+1 1.540000-4 1.146646+1 2.396500-4 9.492973+0 3.359310-4 7.279037+0 4.062246-4 6.054623+0 4.968648-4 4.885554+0 5.982650-4 3.948756+0 7.003311-4 3.263322+0 8.380601-4 2.597729+0 9.141503-4 2.337046+0 9.194983-4 2.436014+0 9.233825-4 2.663739+0 9.263434-4 3.005346+0 9.292257-4 3.533261+0 9.323159-4 4.341678+0 9.364626-4 5.758237+0 9.464634-4 9.481966+0 9.587000-4 1.311248+1 9.657000-4 1.471302+1 9.740650-4 1.578656+1 9.882500-4 1.614601+1 1.066391-3 1.441013+1 1.082720-3 1.498594+1 1.095717-3 1.538897+1 1.305630-3 1.218626+1 1.511947-3 9.898899+0 1.752024-3 7.947662+0 2.028747-3 6.345897+0 2.312397-3 5.157831+0 2.650603-3 4.135960+0 3.019137-3 3.338937+0 3.442509-3 2.679960+0 3.889402-3 2.179174+0 4.365158-3 1.787033+0 4.923591-3 1.449201+0 5.535094-3 1.180163+0 6.241123-3 9.539244-1 6.989961-3 7.792372-1 7.841064-3 6.337182-1 8.692814-3 5.268019-1 8.746757-3 5.360794-1 8.779779-3 5.711474-1 8.801296-3 6.228005-1 8.819980-3 6.974490-1 8.836250-3 7.920645-1 8.854666-3 9.399241-1 8.875563-3 1.163352+0 8.905244-3 1.578721+0 8.977490-3 2.766883+0 9.012309-3 3.210390+0 9.044674-3 3.477874+0 9.100442-3 3.669332+0 9.287451-3 3.626987+0 1.062732-2 2.943309+0 1.206250-2 2.389422+0 1.352515-2 1.974253+0 1.531850-2 1.595799+0 1.695801-2 1.338390+0 1.872868-2 1.123216+0 2.124852-2 8.961074-1 2.364744-2 7.373882-1 2.613410-2 6.130318-1 2.925155-2 4.965780-1 3.225870-2 4.126631-1 3.594702-2 3.355510-1 3.962413-2 2.779527-1 4.364086-2 2.302931-1 4.800690-2 1.909045-1 5.407187-2 1.508941-1 5.918936-2 1.259052-1 6.547121-2 1.028912-1 7.338720-2 8.161799-2 8.117177-2 6.649822-2 9.070987-2 5.301276-2 1.015602-1 4.206657-2 1.128484-1 3.388267-2 1.239016-1 2.797277-2 1.364583-1 2.295898-2 1.495256-1 1.903690-2 1.626648-1 1.601510-2 1.782303-1 1.330156-2 1.960274-1 1.098003-2 2.153789-1 9.083088-3 2.350490-1 7.642110-3 2.581815-1 6.354258-3 2.866430-1 5.195616-3 3.150567-1 4.346018-3 3.436510-1 3.700491-3 3.822467-1 3.054291-3 4.231974-1 2.559183-3 4.690833-1 2.152718-3 5.202954-1 1.822629-3 5.888437-1 1.509778-3 6.741399-1 1.245278-3 7.673615-1 1.052722-3 8.886894-1 8.844982-4 1.022000+0 7.608614-4 1.228714+0 6.272841-4 1.477239+0 5.171578-4 1.776032+0 4.263652-4 2.135261+0 3.515123-4 2.567148+0 2.898006-4 3.086391+0 2.389230-4 3.710658+0 1.969775-4 4.461192+0 1.623960-4 5.363532+0 1.338857-4 6.448384+0 1.103806-4 7.752663+0 9.100215-5 9.320751+0 7.502576-5 9.760024+0 7.149079-5 1.000000+1 1.429638-4 1 29000 7 0 6.354000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-2.892441+1 2.717318-6-2.788784+1 3.175920-6-2.636734+1 3.377007-6-2.434434+1 3.474715-6-2.204363+1 3.529684-6-1.953355+1 3.563340-6-1.687972+1 3.580974-6-1.474346+1 3.591268-6-1.302387+1 3.598781-6-1.124475+1 3.614282-6-7.100092+0 3.623140-6-4.061619+0 3.625354-6-3.149260+0 3.628621-6-1.679874+0 3.630835-6-4.857261-1 3.634212-6 1.003324+0 3.636427-6 1.883615+0 3.648694-6 5.882131+0 3.650649-6 6.355378+0 3.657628-6 7.675314+0 3.659583-6 7.846370+0 3.665446-6 7.751462+0 3.668656-6 7.342590+0 3.672092-6 6.454806+0 3.674897-6 5.443945+0 3.677001-6 4.514957+0 3.678579-6 3.716001+0 3.680947-6 2.332774+0 3.682130-6 1.540152+0 3.683314-6 6.280303-1 3.687781-6-2.996719+0 3.688898-6-3.978117+0 3.691410-6-6.433699+0 3.692806-6-8.113234+0 3.699415-6-1.557859+1 3.703127-6-2.074218+1 3.709567-6-2.895400+1 3.710578-6-2.725606+1 3.721772-6-1.206885+1 3.727984-6-4.850521+0 3.728542-6-4.137965+0 3.729589-6-2.989364+0 3.731422-6-1.196721+0 3.732796-6 3.460936-2 3.738035-6 4.335417+0 3.740129-6 5.716814+0 3.743564-6 7.539516+0 3.746370-6 8.688953+0 3.750052-6 9.762297+0 3.753603-6 1.028722+1 3.759253-6 1.013873+1 3.762604-6 9.729894+0 3.770421-6 7.633224+0 3.772654-6 6.734881+0 3.780176-6 3.417685+0 3.782705-6 2.161325+0 3.790523-6-1.012980+0 3.791639-6-1.513465+0 3.793594-6-2.246615+0 3.799457-6-4.168186+0 3.806157-6-6.375584+0 3.808391-6-7.339118+0 3.810914-6-8.385806+0 3.815943-6-9.865527+0 3.825915-6-1.202490+1 3.840000-6-1.420731+1 3.864703-6-1.682265+1 3.901732-6-1.928111+1 3.965474-6-2.171559+1 4.078020-6-2.389002+1 4.315744-6-2.582821+1 4.900142-6-2.749128+1 5.452599-6-2.898961+1 5.495813-6-2.887946+1 5.561645-6-2.835050+1 5.590747-6-2.922120+1 5.652736-6-2.664923+1 5.706349-6-2.687232+1 5.844347-6-2.828892+1 6.063799-6-2.910170+1 6.219538-6-2.703501+1 6.318917-6-2.436484+1 6.344462-6-2.508949+1 6.371864-6-2.744245+1 6.387172-6-2.922772+1 6.416113-6-2.544394+1 6.439251-6-2.362976+1 6.466428-6-2.323641+1 6.498906-6-2.463455+1 6.575999-6-2.896057+1 6.618661-6-2.927718+1 6.655049-6-2.746436+1 6.712636-6-2.330712+1 6.747241-6-2.253962+1 6.827322-6-2.432464+1 6.917823-6-2.568400+1 7.296336-6-2.702852+1 8.097003-6-2.856718+1 8.229411-6-2.899006+1 8.359608-6-2.709440+1 8.534796-6-2.814895+1 8.680735-6-2.710749+1 8.895655-6-2.812764+1 9.053888-6-2.777028+1 9.221480-6-2.820875+1 9.383325-6-2.782296+1 2.113489-5-2.888843+1 4.244754-5-2.843978+1 6.755064-5-2.619540+1 6.914438-5-2.640670+1 7.013876-5-2.556014+1 7.056653-5-2.636176+1 7.117763-5-2.408295+1 7.167208-5-2.382957+1 7.285525-5-2.528872+1 7.410623-5-2.418818+1 7.552117-5-2.469794+1 7.871088-5-2.393188+1 8.833189-5-2.192399+1 1.074608-4-2.007395+1 1.174163-4-1.966900+1 1.203438-4-1.910942+1 1.603245-4-1.570918+1 1.966080-4-1.354834+1 2.396500-4-1.179168+1 2.904575-4-1.050492+1 3.590745-4-9.586061+0 4.374000-4-9.181860+0 5.324146-4-9.220384+0 6.275120-4-9.675887+0 7.274896-4-1.066588+1 8.038780-4-1.204078+1 8.528697-4-1.356036+1 8.851163-4-1.522544+1 9.076277-4-1.723399+1 9.194983-4-1.918855+1 9.364626-4-2.336676+1 9.445805-4-2.372089+1 9.587000-4-2.218543+1 9.840000-4-1.664319+1 9.975000-4-1.459336+1 1.013731-3-1.299894+1 1.037073-3-1.155648+1 1.060401-3-1.078253+1 1.079351-3-1.067746+1 1.091004-3-9.961112+0 1.107377-3-8.753636+0 1.135011-3-7.532438+0 1.183000-3-6.076922+0 1.243121-3-4.759191+0 1.305630-3-3.755803+0 1.372113-3-2.952645+0 1.439945-3-2.316144+0 1.511947-3-1.793693+0 1.572864-3-1.437880+0 1.623762-3-1.191142+0 1.700670-3-8.978961-1 1.752024-3-7.343993-1 1.811861-3-5.798843-1 1.883649-3-4.271095-1 1.953280-3-3.089629-1 2.009671-3-2.267935-1 2.071642-3-1.572320-1 2.095506-3-1.339103-1 2.145571-3-9.296448-2 2.177749-3-6.978157-2 2.235803-3-3.328836-2 2.258135-3-2.201364-2 2.286169-3-9.234727-3 2.307515-3-5.270965-4 2.309072-3 5.864029-5 2.312397-3 1.318657-3 2.347369-3 1.362269-2 2.374362-3 2.204662-2 2.412197-3 3.268009-2 2.462145-3 4.058486-2 2.488947-3 4.420108-2 2.588958-3 5.336888-2 2.650603-3 5.369036-2 2.731205-3 4.688220-2 2.828977-3 3.349294-2 2.899784-3 2.057327-2 2.974661-3 8.077338-3 3.006942-3 2.069716-3 3.019137-3-3.977664-4 3.046008-3-5.821307-3 3.128228-3-2.550352-2 3.222213-3-5.064717-2 3.442509-3-1.114199-1 4.729917-3-5.206612-1 6.241123-3-1.016305+0 6.989961-3-1.313638+0 7.550636-3-1.608668+0 7.966034-3-1.916862+0 8.263482-3-2.240386+0 8.480941-3-2.598311+0 8.618460-3-2.942421+0 8.721416-3-3.351201+0 8.794459-3-3.846111+0 8.905244-3-4.860537+0 8.944132-3-4.964481+0 8.990253-3-4.752427+0 9.118326-3-3.474296+0 9.200194-3-2.944223+0 9.287451-3-2.574812+0 9.420047-3-2.175289+0 9.585060-3-1.818575+0 9.797188-3-1.482787+0 1.004991-2-1.184358+0 1.029782-2-9.578316-1 1.062732-2-7.228868-1 1.088675-2-5.721050-1 1.110372-2-4.668808-1 1.138274-2-3.529982-1 1.162807-2-2.685537-1 1.188798-2-1.918287-1 1.206250-2-1.454165-1 1.223998-2-1.025797-1 1.254520-2-3.889266-2 1.282167-2 1.022014-2 1.289408-2 2.315035-2 1.326402-2 7.871849-2 1.352515-2 1.115476-1 1.383893-2 1.472103-1 1.421085-2 1.841565-1 1.462177-2 2.176117-1 1.531850-2 2.586930-1 1.611724-2 2.910667-1 1.747144-2 3.232238-1 1.872868-2 3.366288-1 2.124852-2 3.322768-1 2.536960-2 2.966816-1 3.350524-2 2.128589-1 3.962413-2 1.615305-1 4.636385-2 1.179756-1 5.067058-2 9.556291-2 5.715315-2 6.805801-2 6.280003-2 4.877683-2 6.736897-2 3.578329-2 7.146311-2 2.557064-2 7.462265-2 1.854814-2 7.823905-2 1.132903-2 8.117177-2 5.970750-3 8.292967-2 2.984764-3 8.458876-2 3.341013-4 8.501888-2-3.472357-4 8.702392-2-3.376701-3 8.885546-2-6.018978-3 9.246804-2-1.088104-2 9.624826-2-1.551648-2 1.042244-1-2.393258-2 1.128484-1-3.147288-2 1.239016-1-3.924203-2 1.402164-1-4.797862-2 1.626648-1-5.650043-2 1.960274-1-6.475342-2 2.515997-1-7.253471-2 3.436510-1-7.856192-2 5.559043-1-8.322372-2 1.347258+0-8.574951-2 4.068655+0-8.621071-2 1.000000+1-8.623917-2 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 4.604086-3 1.109887-6 7.104716-3 1.217224-6 1.047731-2 1.334942-6 1.556378-2 1.464045-6 2.330238-2 1.556977-6 3.064537-2 1.655809-6 4.047836-2 1.760914-6 5.372903-2 1.872691-6 7.171669-2 1.991562-6 9.634137-2 2.117980-6 1.299237-1 2.184167-6 1.512008-1 2.252422-6 1.764557-1 2.322810-6 2.065495-1 2.395398-6 2.425476-1 2.467107-6 2.838447-1 2.536575-6 3.301783-1 2.603873-6 3.819612-1 2.669067-6 4.396216-1 2.732224-6 5.036097-1 2.793407-6 5.743992-1 2.852679-6 6.524879-1 2.910098-6 7.383993-1 2.965722-6 8.326832-1 3.019609-6 9.359170-1 3.071811-6 1.048707+0 3.122383-6 1.171689+0 3.171373-6 1.305530+0 3.218833-6 1.450929+0 3.264810-6 1.608619+0 3.309350-6 1.779367+0 3.352498-6 1.963976+0 3.394298-6 2.163284+0 3.434791-6 2.378169+0 3.474019-6 2.609548+0 3.512022-6 2.858378+0 3.548836-6 3.125657+0 3.584500-6 3.412425+0 3.619050-6 3.719767+0 3.652520-6 4.048811+0 3.716355-6 4.776746+0 3.776262-6 5.606184+0 3.832484-6 6.547932+0 3.859284-6 7.065062+0 3.885247-6 7.616334+0 3.910398-6 8.203584+0 3.959129-6 9.507259+0 4.004814-6 1.096748+1 4.047644-6 1.260328+1 4.087797-6 1.443053+1 4.125440-6 1.646523+1 4.160730-6 1.872527+1 4.193815-6 2.122952+1 4.224833-6 2.399710+1 4.253911-6 2.704753+1 4.281172-6 3.040072+1 4.306730-6 3.407697+1 4.330690-6 3.809684+1 4.353152-6 4.248102+1 4.374211-6 4.725022+1 4.393953-6 5.242498+1 4.412462-6 5.802559+1 4.429813-6 6.407193+1 4.446081-6 7.058339+1 4.461331-6 7.757879+1 4.475629-6 8.507642+1 4.489032-6 9.309412+1 4.501598-6 1.016493+2 4.513379-6 1.107587+2 4.524423-6 1.204389+2 4.534778-6 1.307060+2 4.544485-6 1.415766+2 4.553585-6 1.530682+2 4.562116-6 1.652003+2 4.570115-6 1.779943+2 4.577613-6 1.914727+2 4.591673-6 2.216262+2 4.603975-6 2.549429+2 4.614739-6 2.914093+2 4.624158-6 3.307841+2 4.632399-6 3.725868+2 4.639611-6 4.161457+2 4.645920-6 4.606791+2 4.651442-6 5.053815+2 4.656273-6 5.494966+2 4.660500-6 5.923669+2 4.667897-6 6.781769+2 4.677606-6 8.148255+2 4.691532-6 1.067997+3 4.710292-6 1.538596+3 4.721836-6 1.912542+3 4.727608-6 2.124732+3 4.736266-6 2.474013+3 4.744510-6 2.839263+3 4.752510-6 3.220782+3 4.756349-6 3.411963+3 4.762108-6 3.706780+3 4.769326-6 4.086430+3 4.775712-6 4.427367+3 4.781168-6 4.718800+3 4.786878-6 5.020393+3 4.793290-6 5.350256+3 4.798645-6 5.614712+3 4.805530-6 5.934204+3 4.811302-6 6.179446+3 4.817074-6 6.399714+3 4.824289-6 6.634047+3 4.830692-6 6.798749+3 4.837499-6 6.924494+3 4.843532-6 6.990493+3 4.849938-6 7.011743+3 4.854784-6 6.993791+3 4.861663-6 6.918081+3 4.867914-6 6.799369+3 4.873934-6 6.642297+3 4.879236-6 6.471607+3 4.882787-6 6.341634+3 4.887781-6 6.139527+3 4.892854-6 5.913611+3 4.898551-6 5.638926+3 4.903309-6 5.395645+3 4.909427-6 5.068977+3 4.914477-6 4.791312+3 4.920971-6 4.429175+3 4.926814-6 4.103262+3 4.932818-6 3.772956+3 4.941759-6 3.298368+3 4.944496-6 3.158710+3 4.956174-6 2.600431+3 4.962560-6 2.324248+3 4.972231-6 1.948675+3 4.982839-6 1.596568+3 5.005434-6 1.039993+3 5.012862-6 9.065689+2 5.020233-6 7.941545+2 5.027546-6 6.997405+2 5.034802-6 6.205608+2 5.042002-6 5.541415+2 5.049145-6 4.983203+2 5.056232-6 4.512436+2 5.063264-6 4.113485+2 5.070241-6 3.773359+2 5.077164-6 3.481388+2 5.090901-6 3.007227+2 5.104423-6 2.642189+2 5.117734-6 2.352996+2 5.130837-6 2.118193+2 5.143735-6 1.923692+2 5.156432-6 1.759965+2 5.168930-6 1.620338+2 5.181233-6 1.499973+2 5.193344-6 1.395257+2 5.205265-6 1.303422+2 5.228736-6 1.149127+2 5.251473-6 1.026097+2 5.273499-6 9.260317+1 5.294838-6 8.433282+1 5.315509-6 7.740595+1 5.335535-6 7.153771+1 5.354934-6 6.651528+1 5.373728-6 6.217606+1 5.410140-6 5.497013+1 5.444276-6 4.935827+1 5.476279-6 4.488742+1 5.506282-6 4.126272+1 5.534409-6 3.827975+1 5.560779-6 3.579044+1 5.610222-6 3.177033+1 5.653485-6 2.880703+1 5.691339-6 2.656010+1 5.724462-6 2.481692+1 5.782427-6 2.217034+1 5.825901-6 2.046118+1 5.891112-6 1.824852+1 5.985644-6 1.560261+1 6.102930-6 1.300808+1 6.249537-6 1.047392+1 6.505252-6 6.899025+0 6.546350-6 6.338441+0 6.582309-6 5.840585+0 6.613774-6 5.390867+0 6.641306-6 4.979720+0 6.665397-6 4.601087+0 6.686476-6 4.251245+0 6.704920-6 3.928298+0 6.721058-6 3.631860+0 6.735180-6 3.362580+0 6.747536-6 3.121492+0 6.758348-6 2.909360+0 6.776085-6 2.571191+0 6.789666-6 2.337813+0 6.800757-6 2.180219+0 6.809075-6 2.091892+0 6.815313-6 2.048033+0 6.819992-6 2.030435+0 6.823501-6 2.027089+0 6.828765-6 2.039910+0 6.832713-6 2.065148+0 6.834029-6 2.076794+0 6.841139-6 2.170412+0 6.844694-6 2.238369+0 6.848856-6 2.337690+0 6.852237-6 2.435179+0 6.856095-6 2.566121+0 6.864777-6 2.944281+0 6.869457-6 3.200292+0 6.877272-6 3.716797+0 6.885807-6 4.417789+0 6.905175-6 6.586281+0 6.915350-6 8.060406+0 6.923009-6 9.319758+0 6.929811-6 1.054037+1 6.937519-6 1.203062+1 6.943764-6 1.331223+1 6.950613-6 1.478240+1 6.957866-6 1.639724+1 6.965015-6 1.802883+1 6.969566-6 1.907842+1 6.976316-6 2.063734+1 6.983214-6 2.221490+1 6.986717-6 2.300336+1 6.994478-6 2.470303+1 7.002240-6 2.631340+1 7.005694-6 2.699383+1 7.012377-6 2.823589+1 7.020112-6 2.953313+1 7.022084-6 2.983722+1 7.036934-6 3.174277+1 7.042354-6 3.225712+1 7.052703-6 3.295491+1 7.058748-6 3.318803+1 7.062198-6 3.326375+1 7.068235-6 3.329781+1 7.076158-6 3.315840+1 7.081252-6 3.296372+1 7.086345-6 3.269169+1 7.094756-6 3.208610+1 7.103167-6 3.130693+1 7.114252-6 3.005984+1 7.122161-6 2.904920+1 7.134803-6 2.728888+1 7.151659-6 2.480053+1 7.170451-6 2.203847+1 7.215168-6 1.642762+1 7.232254-6 1.478456+1 7.249341-6 1.341489+1 7.266427-6 1.228613+1 7.283513-6 1.135812+1 7.299682-6 1.062818+1 7.329997-6 9.542144+0 7.356524-6 8.794222+0 7.402945-6 7.733893+0 7.472577-6 6.371646+0 7.507392-6 5.708153+0 7.547937-6 4.982573+0 7.557226-6 4.837900+0 7.566515-6 4.707114+0 7.579336-6 4.555591+0 7.585698-6 4.495411+0 7.597901-6 4.412971+0 7.604369-6 4.388965+0 7.621226-6 4.399006+0 7.626347-6 4.424391+0 7.641711-6 4.566501+0 7.650518-6 4.692911+0 7.655543-6 4.779424+0 7.664338-6 4.954877+0 7.675881-6 5.227938+0 7.690722-6 5.638325+0 7.716396-6 6.440633+0 7.731567-6 6.919673+0 7.737401-6 7.096106+0 7.753739-6 7.547253+0 7.758407-6 7.661081+0 7.772410-6 7.952196+0 7.782149-6 8.104605+0 7.787707-6 8.171664+0 7.797433-6 8.252990+0 7.804728-6 8.283640+0 7.815670-6 8.281646+0 7.826611-6 8.224849+0 7.840573-6 8.080721+0 7.845227-6 8.016932+0 7.857799-6 7.811793+0 7.864778-6 7.680727+0 7.882668-6 7.307069+0 7.932532-6 6.242198+0 7.942211-6 6.070045+0 7.951890-6 5.916910+0 7.961569-6 5.784541+0 7.968462-6 5.703510+0 7.980523-6 5.588538+0 7.989569-6 5.524333+0 8.003139-6 5.461303+0 8.016708-6 5.433871+0 8.033428-6 5.439450+0 8.058360-6 5.499382+0 8.097076-6 5.616595+0 8.106930-6 5.637339+0 8.125638-6 5.658668+0 8.136491-6 5.659437+0 8.156518-6 5.639820+0 8.176544-6 5.598269+0 8.267947-6 5.343323+0 8.318607-6 5.243345+0 8.439842-6 5.039271+0 8.591348-6 4.780807+0 8.717050-6 4.589930+0 9.093896-6 4.009044+0 9.332543-6 3.673083+0 9.536192-6 3.396926+0 9.660509-6 3.230166+0 9.775889-6 3.073618+0 9.903330-6 2.901520+0 9.999830-6 2.773058+0 1.014906-5 2.576122+0 1.023662-5 2.460695+0 1.034905-5 2.312760+0 1.046535-5 2.159429+0 1.059547-5 1.986554+0 1.069858-5 1.848162+0 1.081649-5 1.687965+0 1.093849-5 1.519458+0 1.106689-5 1.337164+0 1.116798-5 1.189154+0 1.126885-5 1.037164+0 1.133480-5 9.355733-1 1.139663-5 8.390501-1 1.145459-5 7.477653-1 1.150893-5 6.618291-1 1.155988-5 5.813180-1 1.160837-5 5.051724-1 1.165242-5 4.368841-1 1.169439-5 3.731469-1 1.173375-5 3.152039-1 1.177064-5 2.631656-1 1.180523-5 2.171307-1 1.183766-5 1.771616-1 1.186806-5 1.432462-1 1.189656-5 1.152548-1 1.192328-5 9.290715-2 1.194833-5 7.576950-2 1.197181-5 6.328967-2 1.199382-5 5.486662-2 1.201446-5 4.993634-2 1.203381-5 4.805199-2 1.204288-5 4.815190-2 1.205167-5 4.890468-2 1.206018-5 5.030705-2 1.206843-5 5.236695-2 1.207642-5 5.510271-2 1.208416-5 5.854191-2 1.209165-5 6.271995-2 1.209892-5 6.767855-2 1.210595-5 7.346413-2 1.211277-5 8.012621-2 1.212577-5 9.628384-2 1.213792-5 1.164621-1 1.214648-5 1.343535-1 1.215732-5 1.623011-1 1.216757-5 1.953818-1 1.217720-5 2.334794-1 1.220293-5 3.792159-1 1.222425-5 5.663692-1 1.224182-5 7.830873-1 1.225210-5 9.427920-1 1.226109-5 1.105938+0 1.227590-5 1.429416+0 1.228188-5 1.581633+0 1.229242-5 1.884633+0 1.230626-5 2.356358+0 1.231516-5 2.709199+0 1.232406-5 3.104864+0 1.233733-5 3.782066+0 1.235013-5 4.543419+0 1.236495-5 5.571599+0 1.237852-5 6.663004+0 1.238602-5 7.331904+0 1.239328-5 8.025356+0 1.240417-5 9.153342+0 1.241506-5 1.038938+1 1.242726-5 1.190427+1 1.244136-5 1.382786+1 1.244850-5 1.487140+1 1.246725-5 1.782308+1 1.247540-5 1.919686+1 1.250230-5 2.405553+1 1.251211-5 2.592754+1 1.253310-5 3.002846+1 1.254466-5 3.230605+1 1.255846-5 3.499670+1 1.257052-5 3.729243+1 1.258214-5 3.941901+1 1.259427-5 4.152297+1 1.260465-5 4.320488+1 1.261780-5 4.514726+1 1.262835-5 4.653105+1 1.264327-5 4.819288+1 1.265716-5 4.940036+1 1.266328-5 4.982275+1 1.267736-5 5.053392+1 1.269214-5 5.088618+1 1.271935-5 5.051750+1 1.273292-5 4.988527+1 1.275063-5 4.868273+1 1.276986-5 4.699902+1 1.279238-5 4.471301+1 1.284255-5 3.958427+1 1.286405-5 3.783279+1 1.287552-5 3.708541+1 1.288174-5 3.674146+1 1.289924-5 3.601976+1 1.291441-5 3.569527+1 1.292258-5 3.563555+1 1.293706-5 3.571866+1 1.295171-5 3.602914+1 1.296892-5 3.664201+1 1.299720-5 3.806342+1 1.302850-5 3.987655+1 1.306175-5 4.157179+1 1.309110-5 4.249457+1 1.310185-5 4.264771+1 1.311212-5 4.268997+1 1.313022-5 4.250676+1 1.313706-5 4.235044+1 1.314904-5 4.196287+1 1.315803-5 4.157905+1 1.317151-5 4.086019+1 1.318530-5 3.995877+1 1.320064-5 3.877961+1 1.321629-5 3.741196+1 1.323976-5 3.511792+1 1.324758-5 3.430501+1 1.327888-5 3.091966+1 1.330432-5 2.812973+1 1.332004-5 2.644138+1 1.335754-5 2.265114+1 1.341060-5 1.811363+1 1.343306-5 1.651954+1 1.345271-5 1.528051+1 1.348711-5 1.343422+1 1.351290-5 1.228681+1 1.355160-5 1.087865+1 1.359029-5 9.764966+0 1.362374-5 8.979759+0 1.365719-5 8.317917+0 1.369064-5 7.750057+0 1.373360-5 7.124674+0 1.379100-5 6.421593+0 1.385790-5 5.736384+0 1.403263-5 4.346464+0 1.412550-5 3.737001+0 1.419241-5 3.322785+0 1.426235-5 2.895435+0 1.429149-5 2.715994+0 1.433844-5 2.423595+0 1.436031-5 2.286747+0 1.439473-5 2.073319+0 1.447560-5 1.622117+0 1.449066-5 1.555120+0 1.451429-5 1.467843+0 1.453921-5 1.404912+0 1.454637-5 1.393302+0 1.455353-5 1.384860+0 1.458918-5 1.394751+0 1.459363-5 1.402529+0 1.462482-5 1.500728+0 1.463708-5 1.560694+0 1.466047-5 1.708398+0 1.467706-5 1.838390+0 1.469551-5 2.005432+0 1.474031-5 2.487644+0 1.476487-5 2.779267+0 1.477186-5 2.863446+0 1.478746-5 3.050250+0 1.480305-5 3.232986+0 1.483870-5 3.617457+0 1.484316-5 3.660952+0 1.487435-5 3.928689+0 1.488671-5 4.015157+0 1.491031-5 4.146940+0 1.492747-5 4.215274+0 1.494149-5 4.254614+0 1.495200-5 4.275011+0 1.497565-5 4.295472+0 1.500858-5 4.277993+0 1.510251-5 4.137125+0 1.512997-5 4.117467+0 1.515952-5 4.117754+0 1.519236-5 4.141252+0 1.527949-5 4.242464+0 1.531302-5 4.259613+0 1.532787-5 4.258873+0 1.536130-5 4.235940+0 1.539086-5 4.190980+0 1.540928-5 4.152123+0 1.544612-5 4.053379+0 1.547494-5 3.960912+0 1.552778-5 3.770093+0 1.561316-5 3.443846+0 1.566686-5 3.252271+0 1.568946-5 3.180215+0 1.572761-5 3.076086+0 1.576298-5 3.004385+0 1.579476-5 2.963755+0 1.580991-5 2.952699+0 1.583238-5 2.946037+0 1.584813-5 2.947955+0 1.588298-5 2.969126+0 1.592646-5 3.019609+0 1.601583-5 3.142945+0 1.603551-5 3.163967+0 1.606747-5 3.188832+0 1.611240-5 3.202334+0 1.615244-5 3.194401+0 1.620183-5 3.164958+0 1.638400-5 3.011803+0 1.645441-5 2.969265+0 1.658885-5 2.911999+0 1.681214-5 2.826061+0 1.707542-5 2.715272+0 1.724993-5 2.656374+0 1.765240-5 2.546157+0 1.849285-5 2.352339+0 1.950000-5 2.174700+0 2.018366-5 2.075545+0 2.070000-5 2.013444+0 2.124189-5 1.963373+0 2.162719-5 1.940627+0 2.264644-5 1.912944+0 2.371374-5 1.947781+0 2.398010-5 1.967260+0 2.485000-5 2.062544+0 2.547885-5 2.160894+0 2.691535-5 2.479488+0 2.786121-5 2.765881+0 2.858900-5 3.034001+0 3.126079-5 4.307197+0 3.360994-5 5.855219+0 3.507519-5 7.043391+0 3.801894-5 9.895696+0 4.027170-5 1.251237+1 4.163585-5 1.426045+1 4.315191-5 1.635529+1 4.570882-5 2.017661+1 4.841724-5 2.456846+1 5.128614-5 2.953186+1 5.432503-5 3.500931+1 5.688529-5 3.973683+1 6.025596-5 4.598850+1 6.382635-5 5.257646+1 6.794068-5 6.000810+1 7.212776-5 6.732123+1 7.526807-5 7.257199+1 7.762330-5 7.634158+1 8.131783-5 8.188490+1 8.272997-5 8.379198+1 8.384175-5 8.512171+1 8.536911-5 8.668160+1 8.595522-5 8.770552+1 8.637836-5 8.908562+1 8.658992-5 9.006283+1 8.686057-5 9.160710+1 8.786878-5 9.885440+1 8.816052-5 1.006711+2 8.841269-5 1.019399+2 8.885487-5 1.035233+2 8.947199-5 1.050831+2 8.999040-5 1.066854+2 9.057988-5 1.092031+2 9.122604-5 1.122029+2 9.163201-5 1.137998+2 9.197248-5 1.148762+2 9.240000-5 1.159391+2 9.502686-5 1.207253+2 9.745749-5 1.247277+2 1.000551-4 1.286131+2 1.059994-4 1.364557+2 1.161449-4 1.491553+2 1.212872-4 1.552726+2 1.255761-4 1.598544+2 1.282832-4 1.619463+2 1.298477-4 1.626967+2 1.304599-4 1.632809+2 1.311570-4 1.647269+2 1.316598-4 1.665562+2 1.321898-4 1.692742+2 1.334678-4 1.775258+2 1.338016-4 1.794488+2 1.342287-4 1.814528+2 1.347140-4 1.830333+2 1.352149-4 1.839844+2 1.372578-4 1.855769+2 1.487364-4 2.014633+2 1.586677-4 2.140711+2 1.690037-4 2.258642+2 1.825501-4 2.399891+2 1.980000-4 2.542376+2 2.091485-4 2.633993+2 2.205688-4 2.717078+2 2.343543-4 2.803420+2 2.490015-4 2.881427+2 2.626486-4 2.943448+2 2.776290-4 2.999527+2 2.963978-4 3.056034+2 3.147291-4 3.100424+2 3.374781-4 3.141209+2 3.630570-4 3.171441+2 3.888000-4 3.186800+2 4.135244-4 3.191220+2 4.399817-4 3.188369+2 4.688302-4 3.175706+2 4.988049-4 3.155307+2 5.329973-4 3.122707+2 5.664023-4 3.081720+2 6.008278-4 3.030738+2 6.366868-4 2.967744+2 6.741088-4 2.889282+2 7.146353-4 2.788510+2 7.542553-4 2.676066+2 7.906928-4 2.557379+2 8.182025-4 2.455714+2 8.475561-4 2.331853+2 8.722911-4 2.211827+2 8.925344-4 2.099771+2 9.128256-4 1.971432+2 9.300135-4 1.846773+2 9.440608-4 1.730248+2 9.571115-4 1.606603+2 9.686309-4 1.481025+2 9.776665-4 1.367880+2 9.853590-4 1.257369+2 9.914457-4 1.157036+2 9.970208-4 1.052214+2 1.000926-3 9.709739+1 1.004051-3 9.023768+1 1.006018-3 8.584058+1 1.012836-3 7.146722+1 1.015121-3 6.753442+1 1.016210-3 6.592283+1 1.017244-3 6.457991+1 1.018290-3 6.342553+1 1.019220-3 6.258473+1 1.020479-3 6.174938+1 1.021517-3 6.133698+1 1.022737-3 6.118947+1 1.023905-3 6.140302+1 1.025226-3 6.207441+1 1.026386-3 6.304529+1 1.027761-3 6.465971+1 1.028804-3 6.621690+1 1.030749-3 6.986563+1 1.031878-3 7.240974+1 1.033010-3 7.526406+1 1.034329-3 7.894866+1 1.035839-3 8.360626+1 1.043000-3 1.109370+2 1.045465-3 1.218463+2 1.048576-3 1.363423+2 1.050555-3 1.458681+2 1.053356-3 1.595969+2 1.056014-3 1.727214+2 1.058786-3 1.863157+2 1.061453-3 1.991262+2 1.064211-3 2.119146+2 1.068248-3 2.294844+2 1.071482-3 2.423798+2 1.075818-3 2.578600+2 1.080117-3 2.711813+2 1.085000-3 2.840632+2 1.089559-3 2.942453+2 1.095367-3 3.051510+2 1.100683-3 3.135659+2 1.108436-3 3.238773+2 1.115993-3 3.322547+2 1.125051-3 3.405403+2 1.134777-3 3.474326+2 1.144001-3 3.519222+2 1.157766-3 3.558701+2 1.163766-3 3.583342+2 1.168081-3 3.613612+2 1.173216-3 3.668947+2 1.179634-3 3.768450+2 1.193055-3 4.026815+2 1.198069-3 4.114771+2 1.203725-3 4.199862+2 1.209246-3 4.269424+2 1.220331-3 4.381976+2 1.230255-3 4.465331+2 1.240827-3 4.542179+2 1.251291-3 4.608504+2 1.269325-3 4.707251+2 1.282078-3 4.767570+2 1.317396-3 4.905969+2 1.356174-3 5.026439+2 1.415672-3 5.165681+2 1.470583-3 5.258986+2 1.535500-3 5.327571+2 1.640590-3 5.375981+2 1.732806-3 5.387016+2 1.817084-3 5.374183+2 1.994141-3 5.298376+2 2.137962-3 5.216641+2 2.361158-3 5.058450+2 2.714876-3 4.791435+2 3.054921-3 4.530457+2 3.386561-3 4.281150+2 3.711131-3 4.047118+2 4.034781-3 3.823139+2 4.363981-3 3.609893+2 4.766498-3 3.361211+2 5.156090-3 3.136982+2 5.591135-3 2.902723+2 5.820974-3 2.786848+2 6.309573-3 2.553950+2 6.817448-3 2.332301+2 7.079873-3 2.224579+2 7.337196-3 2.122976+2 7.582365-3 2.029373+2 7.804432-3 1.946267+2 8.178795-3 1.808902+2 8.441240-3 1.712571+2 8.692055-3 1.618046+2 8.891341-3 1.538157+2 9.037251-3 1.474147+2 9.105135-3 1.441638+2 9.165387-3 1.410588+2 9.218890-3 1.380548+2 9.270255-3 1.348521+2 9.314091-3 1.317656+2 9.351413-3 1.287984+2 9.391128-3 1.252442+2 9.451999-3 1.191248+2 9.519666-3 1.124982+2 9.549627-3 1.102632+2 9.571239-3 1.091233+2 9.591133-3 1.084950+2 9.613258-3 1.083112+2 9.640821-3 1.088497+2 9.668922-3 1.102061+2 9.707092-3 1.130663+2 9.793479-3 1.212462+2 9.830735-3 1.245089+2 9.873956-3 1.277072+2 9.904590-3 1.295758+2 9.963845-3 1.323907+2 1.004207-2 1.349573+2 1.014659-2 1.371845+2 1.026727-2 1.387518+2 1.040907-2 1.397300+2 1.063915-2 1.401165+2 1.092770-2 1.393518+2 1.133601-2 1.369655+2 1.182054-2 1.332332+2 1.231927-2 1.288318+2 1.308840-2 1.217310+2 1.411812-2 1.124915+2 1.552308-2 1.010634+2 1.708461-2 9.002427+1 1.895290-2 7.895397+1 2.100529-2 6.890205+1 2.297032-2 6.088609+1 2.528299-2 5.299530+1 2.811419-2 4.507901+1 3.326804-2 3.451694+1 3.690978-2 2.919981+1 4.048433-2 2.504149+1 5.877324-2 1.325373+1 7.855571-2 7.980683+0 9.887198-2 5.292021+0 1.164574-1 3.924677+0 1.428894-1 2.678290+0 1.899366-1 1.560165+0 2.590530-1 8.585472-1 3.548134-1 4.652885-1 5.262016-1 2.142252-1 9.166353-1 7.116769-2 2.814822+0 7.576064-3 8.500626+0 8.310461-4 2.567148+1 9.112659-5 7.752663+1 9.991882-6 2.341267+2 1.095589-6 7.070513+2 1.201289-7 2.511886+3 9.518080-9 7.943282+3 9.51808-10 2.511886+4 9.51808-11 7.943282+4 9.51808-12 1.000000+5 6.00550-12 1 30000 7 7 6.537000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 8.993000-7 1.258900-6 1.425300-6 1.584900-6 2.258900-6 1.995300-6 3.580100-6 2.511900-6 5.674100-6 3.162300-6 8.992800-6 3.981100-6 1.425300-5 5.011900-6 2.258900-5 6.309600-6 3.580100-5 7.943300-6 5.674000-5 1.000000-5 8.992500-5 1.258900-5 1.425200-4 1.584900-5 2.258700-4 1.995300-5 3.579800-4 2.511900-5 5.673400-4 3.162300-5 8.990900-4 3.981100-5 1.424600-3 5.011900-5 2.257400-3 6.309600-5 3.577000-3 7.943300-5 5.662900-3 1.000000-4 8.963100-3 1.258900-4 1.418900-2 1.584900-4 2.242600-2 1.995300-4 3.542000-2 2.511900-4 5.580600-2 3.162300-4 8.764400-2 3.981100-4 1.369300-1 5.011900-4 2.121400-1 6.309600-4 3.245200-1 7.943300-4 4.877700-1 1.000000-3 7.152800-1 1.258900-3 1.016300+0 1.584900-3 1.393100+0 1.995300-3 1.844700+0 2.511900-3 2.382700+0 3.162300-3 3.032900+0 3.981100-3 3.823100+0 5.011900-3 4.762000+0 6.309600-3 5.836900+0 7.943300-3 7.038500+0 1.000000-2 8.327000+0 1.258900-2 9.628000+0 1.584900-2 1.083800+1 1.995300-2 1.190900+1 2.511900-2 1.284300+1 3.162300-2 1.356800+1 3.981100-2 1.406400+1 5.011900-2 1.431500+1 6.309600-2 1.433700+1 7.943300-2 1.415700+1 1.000000-1 1.379500+1 1.258900-1 1.327500+1 1.584900-1 1.262400+1 1.995300-1 1.188300+1 2.511900-1 1.108300+1 3.162300-1 1.025500+1 3.981100-1 9.422100+0 5.011900-1 8.602600+0 6.309600-1 7.807000+0 7.943300-1 7.040700+0 1.000000+0 6.316400+0 1.258900+0 5.630200+0 1.584900+0 4.987200+0 1.995300+0 4.389700+0 2.511900+0 3.839700+0 3.162300+0 3.338100+0 3.981100+0 2.885000+0 5.011900+0 2.479700+0 6.309600+0 2.120200+0 7.943300+0 1.804100+0 1.000000+1 1.528400+0 1.258900+1 1.289700+0 1.584900+1 1.084200+0 1.995300+1 9.084900-1 2.511900+1 7.589700-1 3.162300+1 6.323500-1 3.981100+1 5.255600-1 5.011900+1 4.358500-1 6.309600+1 3.607200-1 7.943300+1 2.980000-1 1.000000+2 2.457800-1 1.258900+2 2.024100-1 1.584900+2 1.664500-1 1.995300+2 1.367100-1 2.511900+2 1.121600-1 3.162300+2 9.191000-2 3.981100+2 7.524300-2 5.011900+2 6.154000-2 6.309600+2 5.028900-2 7.943300+2 4.106100-2 1.000000+3 3.350100-2 1.258900+3 2.731300-2 1.584900+3 2.225300-2 1.995300+3 1.811900-2 2.511900+3 1.474300-2 3.162300+3 1.199000-2 3.981100+3 9.745400-3 5.011900+3 7.916900-3 6.309600+3 6.428200-3 7.943300+3 5.217000-3 1.000000+4 4.232100-3 1.258900+4 3.431600-3 1.584900+4 2.781300-3 1.995300+4 2.253400-3 2.511900+4 1.825000-3 3.162300+4 1.477400-3 3.981100+4 1.195700-3 5.011900+4 9.673000-4 6.309600+4 7.822900-4 7.943300+4 6.324600-4 1.000000+5 5.111700-4 1 30000 7 7 6.537000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159549-4 3.981072-4 3.976755-4 5.011872-4 5.005053-4 6.309573-4 6.298819-4 7.943282-4 7.926356-4 1.000000-3 9.973442-4 1.258925-3 1.254767-3 1.584893-3 1.578426-3 1.995262-3 1.985208-3 2.511886-3 2.496232-3 3.162278-3 3.137812-3 3.981072-3 3.942731-3 5.011872-3 4.951796-3 6.309573-3 6.215519-3 7.943282-3 7.796907-3 1.000000-2 9.772571-3 1.258925-2 1.223762-2 1.584893-2 1.530791-2 1.995262-2 1.912478-2 2.511886-2 2.385578-2 3.162278-2 2.970129-2 3.981072-2 3.690172-2 5.011872-2 4.573904-2 6.309573-2 5.653991-2 7.943282-2 6.967973-2 1.000000-1 8.559639-2 1.258925-1 1.047927-1 1.584893-1 1.278717-1 1.995262-1 1.555036-1 2.511886-1 1.884641-1 3.162278-1 2.276459-1 3.981072-1 2.740519-1 5.011872-1 3.288792-1 6.309573-1 3.934712-1 7.943282-1 4.696281-1 1.000000+0 5.590218-1 1.258925+0 6.643718-1 1.584893+0 7.887314-1 1.995262+0 9.358525-1 2.511886+0 1.110380+0 3.162278+0 1.318110+0 3.981072+0 1.566040+0 5.011872+0 1.862773+0 6.309573+0 2.218942+0 7.943282+0 2.647451+0 1.000000+1 3.164030+0 1.258925+1 3.788046+0 1.584893+1 4.543178+0 1.995262+1 5.458315+0 2.511886+1 6.569094+0 3.162278+1 7.919046+0 3.981072+1 9.561496+0 5.011872+1 1.156226+1 6.309573+1 1.400181+1 7.943282+1 1.697949+1 1.000000+2 2.061687+1 1.258925+2 2.506413+1 1.584893+2 3.050577+1 1.995262+2 3.716897+1 2.511886+2 4.533403+1 3.162278+2 5.534669+1 3.981072+2 6.763114+1 5.011872+2 8.271445+1 6.309573+2 1.012439+2 7.943282+2 1.240195+2 1.000000+3 1.520274+2 1.258925+3 1.864947+2 1.584893+3 2.289214+2 1.995262+3 2.811792+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739901-9 3.981072-5 4.342174-9 5.011872-5 6.881563-9 6.309573-5 1.090604-8 7.943282-5 1.727988-8 1.000000-4 2.738148-8 1.258925-4 4.339293-8 1.584893-4 6.873591-8 1.995262-4 1.088874-7 2.511886-4 1.724242-7 3.162278-4 2.728925-7 3.981072-4 4.316536-7 5.011872-4 6.819237-7 6.309573-4 1.075452-6 7.943282-4 1.692640-6 1.000000-3 2.655754-6 1.258925-3 4.158147-6 1.584893-3 6.466908-6 1.995262-3 1.005448-5 2.511886-3 1.565469-5 3.162278-3 2.446517-5 3.981072-3 3.834078-5 5.011872-3 6.007603-5 6.309573-3 9.405460-5 7.943282-3 1.463752-4 1.000000-2 2.274292-4 1.258925-2 3.516346-4 1.584893-2 5.410180-4 1.995262-2 8.278459-4 2.511886-2 1.263087-3 3.162278-2 1.921491-3 3.981072-2 2.909000-3 5.011872-2 4.379681-3 6.309573-2 6.555823-3 7.943282-2 9.753089-3 1.000000-1 1.440361-2 1.258925-1 2.109982-2 1.584893-1 3.061764-2 1.995262-1 4.402259-2 2.511886-1 6.272452-2 3.162278-1 8.858186-2 3.981072-1 1.240552-1 5.011872-1 1.723080-1 6.309573-1 2.374861-1 7.943282-1 3.247002-1 1.000000+0 4.409782-1 1.258925+0 5.945536-1 1.584893+0 7.961618-1 1.995262+0 1.059410+0 2.511886+0 1.401506+0 3.162278+0 1.844168+0 3.981072+0 2.415031+0 5.011872+0 3.149099+0 6.309573+0 4.090632+0 7.943282+0 5.295831+0 1.000000+1 6.835970+0 1.258925+1 8.801208+0 1.584893+1 1.130575+1 1.995262+1 1.449431+1 2.511886+1 1.854977+1 3.162278+1 2.370373+1 3.981072+1 3.024922+1 5.011872+1 3.855646+1 6.309573+1 4.909392+1 7.943282+1 6.245333+1 1.000000+2 7.938313+1 1.258925+2 1.008284+2 1.584893+2 1.279835+2 1.995262+2 1.623573+2 2.511886+2 2.058546+2 3.162278+2 2.608811+2 3.981072+2 3.304760+2 5.011872+2 4.184728+2 6.309573+2 5.297134+2 7.943282+2 6.703087+2 1.000000+3 8.479726+2 1.258925+3 1.072431+3 1.584893+3 1.355972+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 8.610000-6 2.887780+6 8.710000-6 2.712740+6 9.015711-6 2.214771+6 9.332543-6 1.796575+6 9.660509-6 1.447562+6 1.000000-5 1.157040+6 1.023293-5 9.919647+5 1.050000-5 8.306800+5 1.075600-5 6.998435+5 1.100000-5 5.935840+5 1.127000-5 4.937200+5 1.150000-5 4.211280+5 1.174898-5 3.536178+5 1.200400-5 2.946817+5 1.222000-5 2.517400+5 1.244515-5 2.128928+5 1.260000-5 1.892694+5 1.280000-5 1.620854+5 1.300000-5 1.382590+5 1.320000-5 1.174062+5 1.340000-5 9.919180+4 1.357000-5 8.556380+4 1.372000-5 7.481480+4 1.385000-5 6.638380+4 1.400000-5 5.759460+4 1.415000-5 4.972960+4 1.430000-5 4.271040+4 1.445440-5 3.629330+4 1.460000-5 3.092900+4 1.470000-5 2.760200+4 1.480000-5 2.454660+4 1.490000-5 2.174720+4 1.500000-5 1.918928+4 1.511000-5 1.663774+4 1.522000-5 1.434408+4 1.531087-5 1.263208+4 1.540000-5 1.110472+4 1.550000-5 9.560160+3 1.560000-5 8.184400+3 1.570000-5 6.967620+3 1.580000-5 5.900480+3 1.590000-5 4.974140+3 1.617000-5 3.112760+3 1.625000-5 2.724700+3 1.632000-5 2.441300+3 1.637000-5 2.269640+3 1.642000-5 2.122740+3 1.646000-5 2.023779+3 1.646000-5 2.374166+6 1.647000-5 2.372811+6 1.651000-5 2.367422+6 1.655000-5 2.362071+6 1.658500-5 2.357422+6 1.662000-5 2.352801+6 1.666000-5 2.347556+6 1.670000-5 2.342348+6 1.673500-5 2.337821+6 1.677000-5 2.333322+6 1.681000-5 2.328213+6 1.685000-5 2.323141+6 1.685000-5 3.756529+6 1.688500-5 3.752189+6 1.692000-5 3.747875+6 1.697100-5 3.741636+6 1.700000-5 3.738114+6 1.702000-5 3.736340+6 1.707000-5 3.731936+6 1.712000-5 3.727569+6 1.720000-5 3.720661+6 1.730000-5 3.712156+6 1.750000-5 3.695561+6 1.760000-5 3.687463+6 1.770000-5 3.682460+6 1.782000-5 3.676570+6 1.793000-5 3.671275+6 1.804000-5 3.666075+6 1.815000-5 3.660965+6 1.819701-5 3.658803+6 1.826000-5 3.657706+6 1.840000-5 3.655315+6 1.855000-5 3.652841+6 1.870000-5 3.650448+6 1.883649-5 3.648333+6 1.885000-5 3.648485+6 1.900000-5 3.650144+6 1.915000-5 3.651830+6 1.927525-5 3.653255+6 1.944700-5 3.655229+6 1.950000-5 3.655829+6 1.965000-5 3.661020+6 1.985000-5 3.667906+6 2.000000-5 3.673053+6 2.018366-5 3.681524+6 2.020000-5 3.682613+6 2.047000-5 3.700455+6 2.070000-5 3.715525+6 2.075800-5 3.720155+6 2.089296-5 3.730836+6 2.100000-5 3.741223+6 2.130000-5 3.770131+6 2.150000-5 3.789248+6 2.162719-5 3.803084+6 2.200000-5 3.849831+6 2.238721-5 3.898029+6 2.239600-5 3.899223+6 2.264644-5 3.933023+6 2.285000-5 3.963783+6 2.330000-5 4.031406+6 2.371374-5 4.097566+6 2.426610-5 4.193204+6 2.450000-5 4.233555+6 2.485000-5 4.297084+6 2.511886-5 4.345743+6 2.540973-5 4.401874+6 2.580000-5 4.477049+6 2.610000-5 4.537285+6 2.690000-5 4.697869+6 2.691535-5 4.700947+6 2.770000-5 4.865615+6 2.786121-5 4.899465+6 2.851018-5 5.039541+6 2.951209-5 5.256593+6 3.054921-5 5.482386+6 3.162278-5 5.717331+6 3.300000-5 6.020572+6 3.450000-5 6.353250+6 3.467369-5 6.391900+6 3.507519-5 6.478018+6 3.630781-5 6.737014+6 3.758374-5 7.005961+6 3.801894-5 7.093616+6 4.027170-5 7.531537+6 4.073803-5 7.616463+6 4.265795-5 7.952639+6 4.300000-5 8.012366+6 4.315191-5 8.036870+6 4.518559-5 8.347676+6 4.570882-5 8.427150+6 4.841724-5 8.773572+6 5.128614-5 9.064410+6 5.188000-5 9.109719+6 5.400000-5 9.268833+6 5.432503-5 9.288534+6 5.559043-5 9.353657+6 5.688529-5 9.419072+6 6.000000-5 9.506985+6 6.025596-5 9.511984+6 6.309573-5 9.531364+6 6.382635-5 9.531077+6 6.500000-5 9.517075+6 6.683439-5 9.495552+6 6.760830-5 9.481516+6 7.000000-5 9.416941+6 7.079458-5 9.396006+6 7.161434-5 9.369962+6 7.500000-5 9.239022+6 7.585776-5 9.202900+6 7.673615-5 9.166404+6 8.035261-5 8.994687+6 8.222426-5 8.902086+6 8.609938-5 8.696055+6 8.912509-5 8.533128+6 9.059000-5 8.449332+6 9.059000-5 9.006640+6 9.120108-5 8.966181+6 9.240000-5 8.884094+6 9.300000-5 8.841955+6 9.350000-5 8.805606+6 9.374000-5 8.787749+6 9.374000-5 9.045817+6 9.470000-5 8.971674+6 9.500000-5 8.948365+6 9.549926-5 8.909054+6 9.550000-5 8.908993+6 9.660509-5 8.817078+6 9.720000-5 8.767974+6 9.780000-5 8.718909+6 9.800000-5 8.702518+6 9.960000-5 8.574333+6 1.000000-4 8.542796+6 1.011579-4 8.449579+6 1.023293-4 8.359290+6 1.030000-4 8.305804+6 1.047129-4 8.175054+6 1.050000-4 8.154041+6 1.065000-4 8.046953+6 1.071519-4 8.002361+6 1.080000-4 7.943208+6 1.090000-4 7.876006+6 1.096478-4 7.833525+6 1.105000-4 7.775560+6 1.110000-4 7.742272+6 1.122018-4 7.664898+6 1.128000-4 7.627326+6 1.135011-4 7.584696+6 1.148154-4 7.506802+6 1.150000-4 7.495665+6 1.161449-4 7.427965+6 1.165000-4 7.407521+6 1.171100-4 7.372981+6 1.180000-4 7.319837+6 1.198000-4 7.217299+6 1.202264-4 7.193686+6 1.205000-4 7.178620+6 1.220000-4 7.098471+6 1.230269-4 7.042647+6 1.244515-4 6.967729+6 1.260000-4 6.883752+6 1.273503-4 6.813135+6 1.303167-4 6.665005+6 1.318257-4 6.589890+6 1.350000-4 6.429674+6 1.364583-4 6.359417+6 1.374300-4 6.313653+6 1.374300-4 6.589551+6 1.380384-4 6.560720+6 1.401800-4 6.458017+6 1.412538-4 6.405256+6 1.462177-4 6.173216+6 1.480000-4 6.092345+6 1.500000-4 6.003549+6 1.548817-4 5.789080+6 1.566751-4 5.713697+6 1.603245-4 5.562758+6 1.620000-4 5.494024+6 1.621810-4 5.486629+6 1.678804-4 5.263808+6 1.690000-4 5.221389+6 1.720000-4 5.109405+6 1.760000-4 4.962684+6 1.819701-4 4.756730+6 1.820000-4 4.755720+6 1.862087-4 4.615557+6 1.900000-4 4.492772+6 1.949845-4 4.338313+6 1.950000-4 4.337850+6 1.980000-4 4.248410+6 2.000000-4 4.189701+6 2.041738-4 4.068496+6 2.065380-4 4.002632+6 2.089296-4 3.936845+6 2.162719-4 3.743598+6 2.238721-4 3.551941+6 2.264644-4 3.489631+6 2.300000-4 3.406421+6 2.317395-4 3.366643+6 2.371374-4 3.245379+6 2.400000-4 3.183949+6 2.483133-4 3.011977+6 2.500000-4 2.979016+6 2.511886-4 2.955531+6 2.540973-4 2.899110+6 2.600160-4 2.788870+6 2.660725-4 2.681804+6 2.691535-4 2.629790+6 2.722701-4 2.578361+6 2.754229-4 2.526984+6 2.818383-4 2.427522+6 2.851018-4 2.378605+6 2.951209-4 2.237016+6 3.000000-4 2.172171+6 3.019952-4 2.146409+6 3.054921-4 2.101827+6 3.126079-4 2.014880+6 3.198895-4 1.932028+6 3.200000-4 1.930796+6 3.280000-4 1.843436+6 3.311311-4 1.810911+6 3.388442-4 1.733887+6 3.430000-4 1.694390+6 3.467369-4 1.659720+6 3.548134-4 1.587491+6 3.630781-4 1.518548+6 3.700000-4 1.463580+6 3.715352-4 1.451694+6 3.801894-4 1.387521+6 3.935501-4 1.295691+6 3.981072-4 1.266357+6 4.000000-4 1.254367+6 4.120975-4 1.181062+6 4.200000-4 1.136815+6 4.265795-4 1.101504+6 4.350000-4 1.058566+6 4.415704-4 1.026509+6 4.466836-4 1.002427+6 4.600000-4 9.435991+5 4.677351-4 9.117217+5 4.700000-4 9.026157+5 4.786301-4 8.687961+5 4.897788-4 8.279740+5 4.954502-4 8.082258+5 5.069907-4 7.698964+5 5.188000-4 7.331369+5 5.370318-4 6.810380+5 5.400000-4 6.730593+5 5.559043-4 6.324710+5 5.688529-4 6.017217+5 5.888437-4 5.582365+5 6.095369-4 5.177280+5 6.309573-4 4.799633+5 6.382635-4 4.679592+5 6.531306-4 4.447021+5 6.683439-4 4.225890+5 7.000000-4 3.811362+5 7.244360-4 3.528898+5 7.328245-4 3.438538+5 7.673615-4 3.097643+5 7.762471-4 3.017743+5 8.035261-4 2.789827+5 8.317638-4 2.577040+5 8.500000-4 2.451930+5 8.511380-4 2.444379+5 8.609938-4 2.380402+5 8.912509-4 2.198092+5 9.015711-4 2.139958+5 9.332543-4 1.974691+5 9.549926-4 1.871484+5 9.660509-4 1.821844+5 9.772372-4 1.773383+5 1.011579-3 1.634591+5 1.026000-3 1.580916+5 1.026000-3 3.518776+5 1.026180-3 3.574106+5 1.026500-3 3.708302+5 1.026850-3 3.850830+5 1.027200-3 3.989228+5 1.027650-3 4.160534+5 1.028000-3 4.289855+5 1.028500-3 4.467285+5 1.029000-3 4.638107+5 1.029500-3 4.802023+5 1.030000-3 4.958799+5 1.030600-3 5.138383+5 1.031100-3 5.281275+5 1.031800-3 5.471678+5 1.032600-3 5.675605+5 1.033300-3 5.842589+5 1.034100-3 6.020903+5 1.035142-3 6.233906+5 1.036000-3 6.393894+5 1.037100-3 6.579668+5 1.038500-3 6.786907+5 1.040000-3 6.975509+5 1.041500-3 7.132819+5 1.043000-3 7.261994+5 1.045000-3 7.395882+5 1.047300-3 7.503875+5 1.050000-3 7.580621+5 1.050500-3 7.586822+5 1.050500-3 8.499862+5 1.050610-3 8.518188+5 1.050900-3 8.580920+5 1.051200-3 8.644619+5 1.051500-3 8.706552+5 1.051950-3 8.796458+5 1.052400-3 8.883771+5 1.052850-3 8.967892+5 1.053000-3 8.994708+5 1.053300-3 9.045890+5 1.053700-3 9.110789+5 1.054300-3 9.204440+5 1.055000-3 9.308371+5 1.055600-3 9.393030+5 1.056100-3 9.460415+5 1.056500-3 9.510647+5 1.056900-3 9.558225+5 1.057700-3 9.645140+5 1.058500-3 9.725771+5 1.059500-3 9.817882+5 1.060400-3 9.893133+5 1.061500-3 9.975679+5 1.062700-3 1.004620+6 1.064000-3 1.011010+6 1.065500-3 1.016927+6 1.067000-3 1.021427+6 1.068500-3 1.024660+6 1.070500-3 1.027265+6 1.072700-3 1.028229+6 1.075000-3 1.027574+6 1.078000-3 1.024749+6 1.081500-3 1.019482+6 1.083927-3 1.014902+6 1.085000-3 1.012882+6 1.090000-3 1.002007+6 1.094000-3 9.938189+5 1.096478-3 9.886381+5 1.113000-3 9.550528+5 1.120000-3 9.416935+5 1.135011-3 9.111835+5 1.143000-3 8.955099+5 1.145000-3 8.914606+5 1.148154-3 8.849881+5 1.165000-3 8.514716+5 1.174898-3 8.323114+5 1.175000-3 8.321171+5 1.184400-3 8.152129+5 1.184400-3 9.265542+5 1.202264-3 8.931387+5 1.216186-3 8.687630+5 1.273503-3 7.778432+5 1.303167-3 7.360341+5 1.350000-3 6.767460+5 1.364583-3 6.596738+5 1.380384-3 6.418661+5 1.428894-3 5.910622+5 1.450000-3 5.707417+5 1.462177-3 5.593220+5 1.500000-3 5.256759+5 1.513561-3 5.143147+5 1.548817-3 4.863458+5 1.584893-3 4.599333+5 1.603245-3 4.472772+5 1.610000-3 4.427450+5 1.621810-3 4.349484+5 1.670000-3 4.045338+5 1.698244-3 3.880367+5 1.737801-3 3.664792+5 1.757924-3 3.561598+5 1.778279-3 3.461366+5 1.840772-3 3.171508+5 1.883649-3 2.992238+5 1.905461-3 2.906547+5 1.995262-3 2.587935+5 2.000000-3 2.572428+5 2.018366-3 2.513506+5 2.089296-3 2.302980+5 2.113489-3 2.236894+5 2.162719-3 2.108316+5 2.187762-3 2.046834+5 2.238721-3 1.928884+5 2.264644-3 1.872550+5 2.317395-3 1.764815+5 2.371374-3 1.661997+5 2.454709-3 1.519105+5 2.540973-3 1.388713+5 2.570396-3 1.347597+5 2.660725-3 1.231518+5 2.691535-3 1.195150+5 2.722701-3 1.159696+5 2.754229-3 1.124988+5 2.800000-3 1.077107+5 2.818383-3 1.058671+5 2.917427-3 9.661768+4 3.054921-3 8.555487+4 3.126079-3 8.046789+4 3.235937-3 7.340817+4 3.311311-3 6.903109+4 3.467369-3 6.105385+4 3.500000-3 5.955083+4 3.507519-3 5.921030+4 3.548134-3 5.740254+4 3.650000-3 5.319224+4 3.715352-3 5.070268+4 3.758374-3 4.915194+4 3.890451-3 4.478382+4 3.935501-3 4.341721+4 4.027170-3 4.081123+4 4.073803-3 3.956803+4 4.168694-3 3.717177+4 4.265795-3 3.490926+4 4.365158-3 3.278712+4 4.466836-3 3.079746+4 4.570882-3 2.893184+4 4.623810-3 2.804154+4 4.677351-3 2.717668+4 4.800000-3 2.531986+4 4.841724-3 2.472462+4 5.069907-3 2.178957+4 5.188000-3 2.045892+4 5.308844-3 1.921081+4 5.370318-3 1.861446+4 5.432503-3 1.803315+4 5.495409-3 1.746672+4 5.754399-3 1.537706+4 5.888437-3 1.443050+4 6.165950-3 1.271183+4 6.237348-3 1.231489+4 6.309573-3 1.192520+4 6.531306-3 1.083000+4 6.683439-3 1.015785+4 6.918310-3 9.228450+3 7.079458-3 8.657867+3 7.161434-3 8.386318+3 7.244360-3 8.120690+3 7.585776-3 7.135680+3 7.673615-3 6.909206+3 8.128305-3 5.882179+3 8.230370-3 5.681066+3 8.317638-3 5.516596+3 8.413951-3 5.340634+3 8.511380-3 5.170235+3 8.810489-3 4.689611+3 9.549926-3 3.738068+3 9.622400-3 3.659646+3 9.622400-3 2.773924+4 9.660509-3 2.746978+4 9.690000-3 2.726377+4 9.772372-3 2.669906+4 1.000000-2 2.522110+4 1.011579-2 2.451291+4 1.023293-2 2.382465+4 1.071519-2 2.115067+4 1.109175-2 1.934500+4 1.122018-2 1.877824+4 1.135011-2 1.822742+4 1.150000-2 1.761943+4 1.174898-2 1.667005+4 1.288250-2 1.304884+4 1.303167-2 1.265564+4 1.333521-2 1.190363+4 1.350000-2 1.152095+4 1.364583-2 1.119625+4 1.412538-2 1.021297+4 1.428894-2 9.904883+3 1.531087-2 8.231566+3 1.548817-2 7.976507+3 1.566751-2 7.729393+3 1.584893-2 7.489912+3 1.603245-2 7.257822+3 1.698244-2 6.200841+3 1.778279-2 5.467543+3 1.798871-2 5.298035+3 1.840772-2 4.974665+3 1.862087-2 4.820454+3 1.883649-2 4.671029+3 1.905461-2 4.526225+3 2.041738-2 3.732011+3 2.065380-2 3.613947+3 2.113489-2 3.388678+3 2.137962-2 3.281377+3 2.162719-2 3.177478+3 2.187762-2 3.076862+3 2.238721-2 2.885103+3 2.264644-2 2.793763+3 2.300000-2 2.675400+3 2.400000-2 2.375390+3 2.426610-2 2.302015+3 2.483133-2 2.155872+3 2.540973-2 2.019022+3 2.570396-2 1.953886+3 2.600160-2 1.890854+3 2.754229-2 1.604960+3 2.800000-2 1.531378+3 2.851018-2 1.454625+3 2.951209-2 1.318236+3 3.000000-2 1.258046+3 3.019952-2 1.234151+3 3.126079-2 1.116790+3 3.198895-2 1.044823+3 3.388442-2 8.845765+2 3.427678-2 8.555794+2 3.467369-2 8.275317+2 3.507519-2 8.004013+2 3.589219-2 7.487833+2 3.672823-2 7.004908+2 3.801894-2 6.330483+2 3.935501-2 5.721061+2 4.027170-2 5.347775+2 4.216965-2 4.672092+2 4.315191-2 4.367008+2 4.415704-2 4.081828+2 4.518559-2 3.815266+2 4.841724-2 3.108456+2 5.069907-2 2.711272+2 5.128614-2 2.620181+2 5.308844-2 2.364841+2 5.559043-2 2.062700+2 5.623413-2 1.993407+2 5.754399-2 1.860447+2 5.888437-2 1.736363+2 6.095369-2 1.565435+2 6.165950-2 1.512285+2 6.237348-2 1.460941+2 6.531306-2 1.272401+2 6.998420-2 1.034245+2 7.161434-2 9.652206+1 7.244360-2 9.321731+1 7.762471-2 7.562098+1 7.852356-2 7.302995+1 8.511380-2 5.721478+1 8.709636-2 5.336142+1 8.912509-2 4.976786+1 9.120108-2 4.641642+1 9.225714-2 4.482636+1 9.549926-2 4.037233+1 9.660509-2 3.898237+1 9.772372-2 3.764036+1 1.011580-1 3.388530+1 1.035142-1 3.159237+1 1.096478-1 2.651621+1 1.161449-1 2.225608+1 1.174898-1 2.149002+1 1.188502-1 2.075038+1 1.202264-1 2.003619+1 1.216186-1 1.934660+1 1.318257-1 1.514050+1 1.348963-1 1.411643+1 1.396368-1 1.270877+1 1.428894-1 1.184922+1 1.445440-1 1.144153+1 1.531088-1 9.604155+0 1.566751-1 8.954696+0 1.640590-1 7.784616+0 1.678804-1 7.258246+0 1.698244-1 7.010869+0 1.737801-1 6.541138+0 1.757924-1 6.318208+0 1.778279-1 6.102913+0 1.819701-1 5.694067+0 1.883649-1 5.131618+0 1.905461-1 4.956906+0 1.927525-1 4.788161+0 1.949845-1 4.625158+0 2.065380-1 3.889726+0 2.089296-1 3.757316+0 2.162719-1 3.386539+0 2.187762-1 3.272698+0 2.264644-1 2.953635+0 2.290868-1 2.854346+0 2.371374-1 2.576445+0 2.426610-1 2.406388+0 2.454709-1 2.325621+0 2.483133-1 2.247567+0 2.540973-1 2.099230+0 2.660725-1 1.834929+0 2.691535-1 1.774229+0 2.722701-1 1.715632+0 2.786121-1 1.604179+0 2.917427-1 1.402527+0 2.951209-1 1.356905+0 2.985383-1 1.312766+0 3.019952-1 1.270069+0 3.126079-1 1.150134+0 3.198895-1 1.076673+0 3.235937-1 1.041722+0 3.311311-1 9.751875-1 3.467369-1 8.566080-1 3.548134-1 8.028414-1 3.630781-1 7.525542-1 3.672823-1 7.286071-1 3.715352-1 7.054229-1 3.758374-1 6.834007-1 3.845918-1 6.413975-1 3.890451-1 6.213747-1 3.981072-1 5.831841-1 4.000000-1 5.756142-1 4.027170-1 5.650059-1 4.073803-1 5.474113-1 4.120975-1 5.303658-1 4.265795-1 4.833111-1 4.315191-1 4.685730-1 4.365158-1 4.542856-1 4.466836-1 4.270045-1 4.518559-1 4.140165-1 4.570882-1 4.014238-1 4.677351-1 3.779087-1 4.731513-1 3.666736-1 4.954502-1 3.249768-1 5.011872-1 3.153411-1 5.069907-1 3.059916-1 5.128614-1 2.971447-1 5.188000-1 2.885538-1 5.495409-1 2.491846-1 5.559043-1 2.420008-1 5.623413-1 2.350243-1 5.688529-1 2.284228-1 5.956621-1 2.038200-1 6.025596-1 1.980955-1 6.165950-1 1.871561-1 6.237348-1 1.820556-1 6.456542-1 1.675730-1 6.531306-1 1.630065-1 6.606935-1 1.585646-1 6.760830-1 1.500663-1 6.839117-1 1.461101-1 6.918310-1 1.422582-1 6.998420-1 1.385080-1 7.079458-1 1.348568-1 7.161434-1 1.313020-1 7.244360-1 1.278515-1 7.328245-1 1.244935-1 7.498942-1 1.182349-1 7.585776-1 1.152246-1 7.673615-1 1.122912-1 7.852356-1 1.066467-1 7.943282-1 1.039393-1 8.000000-1 1.023006-1 8.035261-1 1.013010-1 8.128305-1 9.880405-2 8.222427-1 9.636859-2 8.511380-1 8.941711-2 8.609938-1 8.721323-2 8.709636-1 8.506390-2 8.912509-1 8.093352-2 9.015711-1 7.894416-2 9.120108-1 7.705493-2 9.225714-1 7.521094-2 9.332543-1 7.341125-2 9.440609-1 7.165463-2 9.549926-1 6.994087-2 9.660509-1 6.827407-2 9.772372-1 6.664719-2 1.011579+0 6.217328-2 1.023293+0 6.074967-2 1.035142+0 5.935922-2 1.059254+0 5.667937-2 1.071519+0 5.538527-2 1.109175+0 5.167740-2 1.122018+0 5.049763-2 1.135011+0 4.938216-2 1.161449+0 4.722491-2 1.174898+0 4.618647-2 1.188600+0 4.516374-2 1.216186+0 4.320650-2 1.230269+0 4.228914-2 1.273503+0 3.965260-2 1.288250+0 3.881306-2 1.303167+0 3.799174-2 1.318257+0 3.718782-2 1.364583+0 3.487680-2 1.428894+0 3.209977-2 1.462177+0 3.079980-2 1.479108+0 3.016974-2 1.531087+0 2.835583-2 1.548817+0 2.779581-2 1.584893+0 2.670889-2 1.621810+0 2.566830-2 1.640590+0 2.516331-2 1.698244+0 2.370723-2 1.717908+0 2.324088-2 1.737801+0 2.279930-2 1.778279+0 2.194127-2 1.798871+0 2.152601-2 1.819701+0 2.111862-2 1.840772+0 2.071896-2 1.905461+0 1.956479-2 1.927525+0 1.919456-2 1.949845+0 1.884418-2 2.000000+0 1.809377-2 2.044000+0 1.747695-2 2.065380+0 1.718950-2 2.137962+0 1.626883-2 2.187762+0 1.568264-2 2.213095+0 1.540678-2 2.264644+0 1.486957-2 2.317395+0 1.435297-2 2.344229+0 1.410145-2 2.426610+0 1.337304-2 2.483133+0 1.290848-2 2.511886+0 1.268959-2 2.570396+0 1.226291-2 2.630268+0 1.185209-2 2.660725+0 1.165187-2 2.786121+0 1.088426-2 2.851018+0 1.051965-2 2.884032+0 1.034769-2 2.951209+0 1.001218-2 3.019952+0 9.688735-3 3.054921+0 9.530958-3 3.198895+0 8.925127-3 3.273407+0 8.636826-3 3.311311+0 8.500593-3 3.427678+0 8.104681-3 3.507519+0 7.851948-3 3.548134+0 7.728557-3 3.715352+0 7.254084-3 3.801894+0 7.027898-3 3.845918+0 6.920835-3 4.000000+0 6.567693-3 4.120975+0 6.312771-3 4.168694+0 6.216943-3 4.365158+0 5.847967-3 4.466836+0 5.671783-3 4.518559+0 5.588277-3 4.731513+0 5.266392-3 4.841724+0 5.112984-3 4.954502+0 4.964049-3 5.188000+0 4.679070-3 5.308844+0 4.542784-3 5.370318+0 4.478057-3 5.623413+0 4.228265-3 5.821032+0 4.050669-3 5.956621+0 3.936438-3 6.237348+0 3.717552-3 6.382635+0 3.612721-3 6.456542+0 3.562822-3 6.839116+0 3.323491-3 7.079458+0 3.188100-3 7.244360+0 3.100920-3 7.585776+0 2.933649-3 7.762471+0 2.853432-3 7.943282+0 2.777346-3 8.511380+0 2.561060-3 8.912509+0 2.426691-3 9.120108+0 2.362176-3 9.440609+0 2.268605-3 9.660509+0 2.208296-3 9.772372+0 2.179501-3 1.059254+1 1.988193-3 1.135011+1 1.837997-3 1.188502+1 1.744227-3 1.230269+1 1.677052-3 1.258925+1 1.633715-3 1.273503+1 1.612986-3 1.333521+1 1.532674-3 1.348963+1 1.513228-3 1.428894+1 1.419864-3 1.496236+1 1.349338-3 1.640590+1 1.218622-3 1.698244+1 1.172939-3 1.717908+1 1.158453-3 1.757924+1 1.130014-3 1.778279+1 1.116059-3 1.819701+1 1.088728-3 1.840772+1 1.075315-3 2.317395+1 8.391975-4 2.426610+1 7.986026-4 2.454709+1 7.889491-4 2.511886+1 7.699919-4 2.540973+1 7.606844-4 2.570396+1 7.515084-4 2.600160+1 7.424431-4 3.427678+1 5.548416-4 3.630781+1 5.221758-4 3.672823+1 5.159741-4 3.758374+1 5.037909-4 3.801894+1 4.978077-4 3.845918+1 4.919054-4 3.935501+1 4.803102-4 5.432503+1 3.439421-4 5.754399+1 3.240310-4 5.821032+1 3.202378-4 5.956621+1 3.127844-4 6.095369+1 3.055045-4 6.165950+1 3.019332-4 6.456542+1 2.880608-4 9.772372+1 1.886445-4 9.885531+1 1.864393-4 1.059254+2 1.737393-4 1.083927+2 1.697370-4 1.122018+2 1.639059-4 1.148154+2 1.601301-4 1.174898+2 1.564449-4 1.273503+2 1.442020-4 1.949845+2 9.373656-5 1.972423+2 9.265169-5 2.113489+2 8.640112-5 2.162719+2 8.442475-5 2.238721+2 8.154473-5 2.290868+2 7.967948-5 2.344229+2 7.785777-5 2.540973+2 7.180358-5 3.890451+2 4.680830-5 4.466836+2 4.074326-5 4.570882+2 3.981175-5 4.677351+2 3.890191-5 5.069907+2 3.587814-5 7.762471+2 2.339295-5 7.852356+2 2.312410-5 8.413951+2 2.157467-5 8.609938+2 2.108335-5 3.090295+3 5.870740-6 3.548134+3 5.112886-6 7.244360+3 2.503388-6 7.413102+3 2.446386-6 8.035261+3 2.256906-6 4.897788+4 3.700485-7 4.954502+4 3.658112-7 1.000000+5 1.812001-7 1 30000 7 0 6.537000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 8.610000-6 8.610000-6 1.646000-5 8.610000-6 1.646000-5 1.645331-5 1.685000-5 1.645400-5 1.685000-5 1.660511-5 2.610000-5 1.648454-5 8.222426-5 1.655417-5 9.059000-5 1.655718-5 9.059000-5 1.755649-5 9.374000-5 1.750258-5 9.374000-5 1.794336-5 1.050000-4 1.761487-5 1.122018-4 1.753423-5 1.205000-4 1.758723-5 1.318257-4 1.780227-5 1.374300-4 1.793868-5 1.374300-4 1.908712-5 2.000000-4 2.103360-5 2.317395-4 2.189169-5 2.818383-4 2.307183-5 3.311311-4 2.406785-5 4.000000-4 2.524243-5 4.700000-4 2.625538-5 5.559043-4 2.728755-5 6.531306-4 2.825161-5 7.673615-4 2.917747-5 9.015711-4 3.005893-5 1.026000-3 3.072925-5 1.026000-3 4.093450-5 1.027200-3 4.193889-5 1.028500-3 4.274407-5 1.030000-3 4.341239-5 1.031800-3 4.398490-5 1.034100-3 4.449421-5 1.037100-3 4.493216-5 1.041500-3 4.531215-5 1.047300-3 4.556193-5 1.050500-3 4.563166-5 1.050500-3 4.609317-5 1.056900-3 4.656168-5 1.067000-3 4.685266-5 1.094000-3 4.696625-5 1.184400-3 4.699969-5 1.184400-3 5.032151-5 1.840772-3 5.197456-5 2.660725-3 5.361279-5 3.650000-3 5.517245-5 4.841724-3 5.665739-5 6.531306-3 5.828427-5 8.511380-3 5.972641-5 9.622400-3 6.038666-5 9.622400-3 7.555300-5 1.603245-2 7.610125-5 3.198895-2 7.652769-5 9.225714-2 7.683119-5 9.015711-1 7.698091-5 1.000000+5 7.698220-5 1 30000 7 7 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.610000-6 0.0 9.059000-5 0.0 9.059000-5 1.22053-10 9.120108-5 1.21252-10 9.240000-5 1.18859-10 9.374000-5 1.15347-10 9.374000-5 1.73100-10 9.500000-5 1.68987-10 9.800000-5 1.57051-10 1.011579-4 1.44168-10 1.030000-4 1.37672-10 1.050000-4 1.31765-10 1.065000-4 1.28119-10 1.080000-4 1.25265-10 1.096478-4 1.22994-10 1.110000-4 1.21876-10 1.128000-4 1.21209-10 1.150000-4 1.21595-10 1.165000-4 1.22612-10 1.180000-4 1.24118-10 1.205000-4 1.27708-10 1.230269-4 1.32336-10 1.244515-4 1.35353-10 1.273503-4 1.42321-10 1.303167-4 1.50126-10 1.318257-4 1.54358-10 1.374300-4 1.71339-10 1.374300-4 2.49431-10 1.412538-4 2.62504-10 1.500000-4 2.93682-10 1.760000-4 3.90198-10 1.900000-4 4.39630-10 2.065380-4 4.94412-10 2.162719-4 5.24478-10 2.300000-4 5.64713-10 2.540973-4 6.31366-10 2.754229-4 6.86405-10 2.951209-4 7.34056-10 3.126079-4 7.73821-10 3.430000-4 8.37322-10 3.715352-4 8.91733-10 4.000000-4 9.42489-10 4.415704-4 1.010201-9 4.786301-4 1.064539-9 5.188000-4 1.117210-9 5.688529-4 1.176615-9 6.095369-4 1.220675-9 6.683439-4 1.277099-9 7.328245-4 1.331039-9 8.035261-4 1.382451-9 8.912509-4 1.437619-9 9.772372-4 1.483473-9 1.026000-3 1.506623-9 1.026000-3 5.646107-6 1.026180-3 5.719269-6 1.026500-3 5.886470-6 1.026850-3 6.051386-6 1.027200-3 6.200337-6 1.027650-3 6.371124-6 1.028000-3 6.491104-6 1.028500-3 6.644572-6 1.029000-3 6.781371-6 1.030000-3 7.013173-6 1.031100-3 7.218552-6 1.031800-3 7.328775-6 1.033300-3 7.523688-6 1.035142-3 7.705643-6 1.037100-3 7.850164-6 1.040000-3 8.001318-6 1.043000-3 8.104740-6 1.047300-3 8.194028-6 1.050500-3 8.231130-6 1.050500-3 8.540803-6 1.053700-3 8.722456-6 1.057700-3 8.870157-6 1.062700-3 8.981442-6 1.068500-3 9.050029-6 1.078000-3 9.093153-6 1.148154-3 9.102528-6 1.184400-3 9.091683-6 1.184400-3 9.274736-6 2.187762-3 9.296835-6 8.810489-3 9.239725-6 9.622400-3 9.236825-6 9.622400-3 3.633483-3 1.174898-2 3.663899-3 1.698244-2 3.697434-3 2.754229-2 3.723946-3 5.128614-2 3.740209-3 1.927525-1 3.748729-3 1.000000+5 3.750426-3 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.610000-6 0.0 1.646000-5 7.850000-6 1.646000-5 6.691471-9 1.655000-5 9.615195-8 1.677000-5 3.158044-7 1.685000-5 3.959958-7 1.685000-5 2.448947-7 1.720000-5 5.949659-7 1.793000-5 1.330617-6 1.965000-5 3.080719-6 2.330000-5 6.793973-6 2.851018-5 1.203071-5 9.059000-5 7.403282-5 9.059000-5 7.303339-5 9.374000-5 7.623731-5 9.374000-5 7.579647-5 1.128000-4 9.526673-5 1.374300-4 1.194911-4 1.374300-4 1.183426-4 2.600160-4 2.374394-4 5.069907-4 4.802649-4 1.026000-3 9.952692-4 1.026000-3 9.794194-4 1.032600-3 9.809762-4 1.068500-3 1.012576-3 1.184400-3 1.128309-3 1.184400-3 1.124804-3 9.622400-3 9.552777-3 9.622400-3 5.913364-3 1.428894-2 1.052934-2 4.841724-2 4.460146-2 1.000000+5 1.000000+5 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 9.622400-3 2.407959+4 1.023293-2 2.075021+4 1.174898-2 1.459221+4 1.428894-2 8.717020+3 1.531087-2 7.256635+3 1.905461-2 4.007735+3 2.400000-2 2.110420+3 3.000000-2 1.120470+3 3.672823-2 6.249090+2 4.518559-2 3.407817+2 5.623413-2 1.782199+2 7.161434-2 8.635400+1 9.549926-2 3.613954+1 1.678804-1 6.499636+0 2.162719-1 3.032800+0 2.540973-1 1.879888+0 2.917427-1 1.255983+0 3.311311-1 8.733208-1 3.715352-1 6.317422-1 4.120975-1 4.749856-1 4.570882-1 3.595196-1 5.069907-1 2.740568-1 5.623413-1 2.105042-1 6.165950-1 1.676361-1 6.760830-1 1.344215-1 7.328245-1 1.115219-1 8.035261-1 9.075465-2 9.015711-1 7.073259-2 9.772372-1 5.971632-2 1.122018+0 4.524628-2 1.216186+0 3.871335-2 1.364583+0 3.125019-2 1.531087+0 2.540704-2 1.717908+0 2.082372-2 1.927525+0 1.719829-2 2.187762+0 1.405208-2 2.483133+0 1.156644-2 2.851018+0 9.425818-3 3.273407+0 7.738617-3 3.801894+0 6.297031-3 4.466836+0 5.081923-3 5.308844+0 4.070368-3 6.382635+0 3.236992-3 7.762471+0 2.556665-3 9.660509+0 1.978631-3 1.258925+1 1.463827-3 1.698244+1 1.050980-3 2.426610+1 7.155753-4 3.630781+1 4.678928-4 5.754399+1 2.903459-4 1.059254+2 1.556782-4 2.113489+2 7.742036-5 8.413951+2 1.933088-5 1.000000+5 1.623700-7 1 30000 7 0 6.537000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 9.622400-3 7.785800-5 1.000000+5 7.785800-5 1 30000 7 7 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 9.622400-3 4.184300-3 1.000000+5 4.184300-3 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 9.622400-3 5.360242-3 1.000000+5 1.000000+5 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.184400-3 1.113413+5 1.303167-3 9.582510+4 1.380384-3 8.817379+4 1.610000-3 6.949520+4 1.670000-3 6.552480+4 1.995262-3 4.864037+4 2.187762-3 4.133563+4 2.540973-3 3.149003+4 2.818383-3 2.588362+4 3.235937-3 1.978437+4 3.650000-3 1.553006+4 4.168694-3 1.180781+4 4.800000-3 8.752440+3 5.432503-3 6.684662+3 6.237348-3 4.913305+3 7.161434-3 3.584553+3 8.317638-3 2.527021+3 9.690000-3 1.754266+3 1.122018-2 1.226348+3 1.303167-2 8.447064+2 1.531087-2 5.608007+2 1.778279-2 3.805830+2 2.065380-2 2.565450+2 2.426610-2 1.665446+2 2.851018-2 1.073321+2 3.388442-2 6.652659+1 4.027170-2 4.093108+1 4.841724-2 2.419934+1 5.888437-2 1.373677+1 7.244360-2 7.484885+0 9.225714-2 3.655570+0 1.883649-1 4.312740-1 2.290868-1 2.414210-1 2.691535-1 1.507497-1 3.126079-1 9.801147-2 3.548134-1 6.857083-2 4.000000-1 4.925892-2 4.466836-1 3.659697-2 4.954502-1 2.788205-2 5.495409-1 2.139725-2 6.025596-1 1.702069-2 6.606935-1 1.362939-2 7.161434-1 1.128802-2 7.852356-1 9.171638-3 8.709636-1 7.316607-3 9.549926-1 6.015395-3 1.035142+0 5.104005-3 1.161449+0 4.060866-3 1.273503+0 3.410119-3 1.428894+0 2.760228-3 1.584893+0 2.297013-3 1.778279+0 1.887172-3 2.000000+0 1.555999-3 2.264644+0 1.278635-3 2.570396+0 1.054489-3 2.951209+0 8.611219-4 3.427678+0 6.970038-4 4.000000+0 5.648200-4 4.731513+0 4.528840-4 5.623413+0 3.636336-4 6.839116+0 2.858105-4 8.511380+0 2.202222-4 1.059254+1 1.709702-4 1.348963+1 1.301428-4 1.778279+1 9.600824-5 2.540973+1 6.544148-5 3.801894+1 4.282821-5 6.095369+1 2.628375-5 1.148154+2 1.377683-5 2.290868+2 6.855860-6 4.570882+2 3.423140-6 7.244360+3 2.152642-7 1.000000+5 1.559400-8 1 30000 7 0 6.537000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.184400-3 7.464300-5 1.000000+5 7.464300-5 1 30000 7 7 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.184400-3 1.061500-5 1.000000+5 1.061500-5 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.184400-3 1.099142-3 1.000000+5 1.000000+5 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.050500-3 9.130400+4 1.050610-3 9.300000+4 1.050900-3 9.891300+4 1.051200-3 1.049100+5 1.051500-3 1.107300+5 1.051950-3 1.191600+5 1.052400-3 1.273300+5 1.052850-3 1.351800+5 1.053300-3 1.428000+5 1.053700-3 1.493000+5 1.054300-3 1.586800+5 1.055000-3 1.690900+5 1.055600-3 1.775700+5 1.056100-3 1.843200+5 1.056900-3 1.945200+5 1.057700-3 2.040300+5 1.058500-3 2.129100+5 1.059500-3 2.231400+5 1.060400-3 2.315800+5 1.061500-3 2.409500+5 1.062700-3 2.500700+5 1.064000-3 2.586900+5 1.065500-3 2.671700+5 1.067000-3 2.742200+5 1.068500-3 2.799900+5 1.070500-3 2.859600+5 1.072700-3 2.906000+5 1.075000-3 2.937600+5 1.078000-3 2.958700+5 1.081500-3 2.963000+5 1.085000-3 2.953400+5 1.094000-3 2.901300+5 1.113000-3 2.784100+5 1.143000-3 2.627500+5 1.165000-3 2.501300+5 1.202264-3 2.296100+5 1.462177-3 1.402900+5 1.621810-3 1.074000+5 1.778279-3 8.418100+4 2.113489-3 5.258800+4 2.317395-3 4.066400+4 2.691535-3 2.655700+4 3.054921-3 1.837100+4 3.500000-3 1.228900+4 4.073803-3 7.773600+3 4.623810-3 5.271400+3 5.308844-3 3.428300+3 6.165950-3 2.134400+3 7.161434-3 1.318900+3 8.317638-3 8.092500+2 9.772372-3 4.746100+2 1.150000-2 2.747900+2 1.350000-2 1.592800+2 1.584893-2 9.167800+1 1.883649-2 5.022800+1 2.264644-2 2.624100+1 2.754229-2 1.306600+1 3.427678-2 5.948400+0 4.518559-2 2.183200+0 8.709636-2 1.993300-1 1.096478-1 8.660100-2 1.318257-1 4.475225-2 1.566751-1 2.427732-2 1.819701-1 1.439063-2 2.089296-1 8.947664-3 2.371374-1 5.830839-3 2.660725-1 3.977734-3 2.985383-1 2.733314-3 3.311311-1 1.963468-3 3.672823-1 1.420566-3 4.073803-1 1.035031-3 4.518559-1 7.595314-4 5.011872-1 5.613950-4 5.495409-1 4.320237-4 6.025596-1 3.347187-4 6.606935-1 2.612940-4 7.244360-1 2.054299-4 8.609938-1 1.328661-4 9.225714-1 1.124803-4 9.772372-1 9.856184-5 1.035142+0 8.698263-5 1.109175+0 7.538578-5 1.188600+0 6.581996-5 1.303167+0 5.555142-5 1.462177+0 4.528271-5 1.698244+0 3.494536-5 1.905461+0 2.882204-5 2.137962+0 2.395288-5 2.426610+0 1.968910-5 2.786121+0 1.602597-5 3.198895+0 1.314279-5 3.715352+0 1.068241-5 4.365158+0 8.611952-6 5.188000+0 6.890757-6 6.237348+0 5.474924-6 7.585776+0 4.320578-6 9.440609+0 3.341055-6 1.230269+1 2.469894-6 1.640590+1 1.794596-6 2.317395+1 1.235859-6 3.427678+1 8.170703-7 5.432503+1 5.065403-7 9.772372+1 2.778277-7 1.949845+2 1.380684-7 7.762471+2 3.445651-8 4.897788+4 5.44943-10 1.000000+5 2.66980-10 1 30000 7 0 6.537000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.050500-3 4.992800-5 1.000000+5 4.992800-5 1 30000 7 7 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.050500-3 1.111400-5 1.000000+5 1.111400-5 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.050500-3 9.894580-4 1.000000+5 1.000000+5 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.026000-3 1.937860+5 1.026180-3 1.993844+5 1.026500-3 2.129200+5 1.026850-3 2.272996+5 1.027200-3 2.412660+5 1.027650-3 2.585592+5 1.028000-3 2.716176+5 1.028500-3 2.895408+5 1.029000-3 3.068028+5 1.029500-3 3.233740+5 1.030000-3 3.392308+5 1.030600-3 3.574052+5 1.031100-3 3.718740+5 1.031800-3 3.911652+5 1.032600-3 4.118440+5 1.033300-3 4.287920+5 1.034100-3 4.469080+5 1.035142-3 4.685779+5 1.036000-3 4.848800+5 1.037100-3 5.038449+5 1.038500-3 5.250600+5 1.040000-3 5.444440+5 1.041500-3 5.606960+5 1.043000-3 5.741320+5 1.045000-3 5.882080+5 1.047300-3 5.997920+5 1.050000-3 6.083800+5 1.053000-3 6.131200+5 1.056500-3 6.141960+5 1.061500-3 6.107360+5 1.090000-3 5.725480+5 1.120000-3 5.386360+5 1.145000-3 5.080640+5 1.175000-3 4.732240+5 1.450000-3 2.770316+5 1.621810-3 2.067433+5 1.778279-3 1.615363+5 2.113489-3 1.003681+5 2.317395-3 7.740169+4 2.722701-3 4.866393+4 3.054921-3 3.468578+4 3.507519-3 2.295664+4 4.073803-3 1.455350+4 4.677351-3 9.483324+3 5.370318-3 6.136903+3 6.237348-3 3.800641+3 7.244360-3 2.335622+3 8.511380-3 1.371330+3 1.000000-2 7.986240+2 1.174898-2 4.614842+2 1.364583-2 2.754587+2 1.603245-2 1.569384+2 1.905461-2 8.524068+1 2.300000-2 4.345920+1 2.800000-2 2.130996+1 3.467369-2 9.741671+0 4.415704-2 3.983676+0 6.095369-2 1.197871+0 9.660509-2 2.142898-1 1.202264-1 9.521486-2 1.428894-1 5.055541-2 1.678804-1 2.820525-2 1.905461-1 1.795246-2 2.162719-1 1.151122-2 2.426610-1 7.741882-3 2.691535-1 5.454113-3 2.985383-1 3.869588-3 3.311311-1 2.765884-3 3.630781-1 2.066869-3 3.981072-1 1.555959-3 4.315191-1 1.222019-3 4.677351-1 9.657688-4 5.069907-1 7.681836-4 5.495409-1 6.151680-4 5.956621-1 4.958355-4 6.456542-1 4.022284-4 6.998420-1 3.283581-4 7.585776-1 2.697646-4 8.222427-1 2.230378-4 9.015711-1 1.806065-4 9.660509-1 1.552050-4 1.035142+0 1.343677-4 1.135011+0 1.116448-4 1.230269+0 9.559979-5 1.364583+0 7.896067-5 1.548817+0 6.306493-5 1.737801+0 5.173646-5 1.949845+0 4.274936-5 2.213095+0 3.494803-5 2.511886+0 2.878442-5 2.884032+0 2.347446-5 3.311311+0 1.928423-5 3.845918+0 1.570039-5 4.518559+0 1.267747-5 5.370318+0 1.015926-5 6.456542+0 8.083055-6 7.943282+0 6.300260-6 9.772372+0 4.944667-6 1.273503+1 3.659703-6 1.717908+1 2.628406-6 2.454709+1 1.790096-6 3.672823+1 1.170752-6 5.821032+1 7.266494-7 1.083927+2 3.851251-7 2.162719+2 1.915696-7 8.609938+2 4.783975-8 1.000000+5 4.11200-10 1 30000 7 0 6.537000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.026000-3 4.926000-5 1.000000+5 4.926000-5 1 30000 7 7 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.026000-3 1.025100-5 1.000000+5 1.025100-5 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.026000-3 9.664890-4 1.000000+5 1.000000+5 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.374300-4 2.758974+5 2.041738-4 2.268849+5 2.162719-4 2.191066+5 2.300000-4 2.093540+5 2.483133-4 1.961072+5 2.754229-4 1.779274+5 3.019952-4 1.621469+5 3.280000-4 1.482440+5 3.548134-4 1.352488+5 3.935501-4 1.188536+5 4.466836-4 1.006714+5 4.954502-4 8.732821+4 5.559043-4 7.396404+4 6.382635-4 6.009109+4 7.244360-4 4.932163+4 8.317638-4 3.941921+4 9.549926-4 3.128566+4 1.096478-3 2.463933+4 1.273503-3 1.888075+4 1.500000-3 1.398424+4 1.737801-3 1.059542+4 2.018366-3 7.934944+3 2.371374-3 5.767368+3 2.800000-3 4.118340+3 3.311311-3 2.907659+3 3.890451-3 2.065595+3 4.570882-3 1.456454+3 5.370318-3 1.018977+3 6.237348-3 7.261400+2 7.244360-3 5.138316+2 8.413951-3 3.610386+2 9.772372-3 2.518687+2 1.135011-2 1.744853+2 1.333521-2 1.166161+2 1.566751-2 7.733883+1 1.840772-2 5.090447+1 2.162719-2 3.325707+1 2.540973-2 2.157092+1 3.019952-2 1.346131+1 3.589219-2 8.335488+0 4.315191-2 4.960113+0 5.128614-2 3.027740+0 6.237348-2 1.716295+0 7.852356-2 8.729575-1 1.011580-1 4.117961-1 1.757924-1 7.878121-2 2.290868-1 3.592417-2 2.691535-1 2.242728-2 3.126079-1 1.458854-2 3.548134-1 1.020929-2 4.000000-1 7.335282-3 4.466836-1 5.449332-3 4.954502-1 4.151673-3 5.495409-1 3.186920-3 6.025596-1 2.536022-3 6.606935-1 2.031677-3 7.244360-1 1.638570-3 8.000000-1 1.309700-3 8.709636-1 1.087276-3 9.440609-1 9.169671-4 1.023293+0 7.783680-4 1.161449+0 6.059878-4 1.288250+0 4.973886-4 1.428894+0 4.111481-4 1.584893+0 3.421583-4 1.778279+0 2.811068-4 2.000000+0 2.318000-4 2.264644+0 1.904967-4 2.570396+0 1.571023-4 2.951209+0 1.282867-4 3.427678+0 1.038343-4 4.000000+0 8.414100-5 4.731513+0 6.746606-5 5.623413+0 5.417046-5 6.839116+0 4.257792-5 8.511380+0 3.280623-5 1.059254+1 2.547031-5 1.348963+1 1.938718-5 1.778279+1 1.430193-5 2.540973+1 9.748791-6 3.801894+1 6.380129-6 6.095369+1 3.915558-6 1.148154+2 2.052253-6 2.290868+2 1.021299-6 4.570882+2 5.099486-7 7.244360+3 3.206697-8 1.000000+5 2.323100-9 1 30000 7 0 6.537000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.374300-4 4.536800-5 1.000000+5 4.536800-5 1 30000 7 7 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.374300-4 2.036500-9 1.000000+5 2.036500-9 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.374300-4 9.205996-5 1.000000+5 1.000000+5 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 9.374000-5 2.580680+5 9.470000-5 2.543380+5 9.550000-5 2.500240+5 9.660509-5 2.428069+5 9.780000-5 2.339980+5 9.960000-5 2.197920+5 1.050000-4 1.799874+5 1.071519-4 1.675428+5 1.090000-4 1.587802+5 1.105000-4 1.529594+5 1.122018-4 1.476890+5 1.135011-4 1.445543+5 1.150000-4 1.418132+5 1.165000-4 1.399224+5 1.180000-4 1.387908+5 1.198000-4 1.383090+5 1.220000-4 1.388162+5 1.244515-4 1.405228+5 1.273503-4 1.437180+5 1.303167-4 1.479275+5 1.350000-4 1.557740+5 1.480000-4 1.798088+5 1.548817-4 1.918830+5 1.621810-4 2.034286+5 1.690000-4 2.127900+5 1.760000-4 2.207980+5 1.820000-4 2.263700+5 1.900000-4 2.320460+5 1.980000-4 2.358800+5 2.065380-4 2.381694+5 2.162719-4 2.388617+5 2.264644-4 2.378717+5 2.371374-4 2.354773+5 2.511886-4 2.308624+5 2.660725-4 2.246868+5 2.818383-4 2.171159+5 3.000000-4 2.076020+5 3.200000-4 1.965966+5 3.388442-4 1.861277+5 3.630781-4 1.729769+5 3.935501-4 1.575242+5 4.265795-4 1.423411+5 4.600000-4 1.285042+5 4.954502-4 1.154098+5 5.400000-4 1.010754+5 5.888437-4 8.783098+4 6.382635-4 7.659547+4 7.000000-4 6.497420+4 7.673615-4 5.473477+4 8.500000-4 4.487800+4 9.332543-4 3.715278+4 1.030000-3 3.021220+4 1.148154-3 2.387617+4 1.273503-3 1.892259+4 1.428894-3 1.449549+4 1.584893-3 1.132219+4 1.778279-3 8.541321+3 2.000000-3 6.356540+3 2.264644-3 4.613851+3 2.570396-3 3.301276+3 2.917427-3 2.343897+3 3.311311-3 1.651643+3 3.758374-3 1.155106+3 4.265795-3 8.020251+2 4.841724-3 5.529192+2 5.495409-3 3.784526+2 6.309573-3 2.483050+2 7.244360-3 1.616344+2 8.317638-3 1.044069+2 9.660509-3 6.450736+1 1.122018-2 3.954425+1 1.303167-2 2.406036+1 1.531087-2 1.398099+1 1.798871-2 8.063661+0 2.137962-2 4.436993+0 2.570396-2 2.327289+0 3.126079-2 1.163222+0 3.935501-2 5.100017-1 5.308844-2 1.729959-1 9.120108-2 2.430713-2 1.161449-1 1.018317-2 1.396368-1 5.285676-3 1.640590-1 2.999215-3 1.905461-1 1.785437-3 2.187762-1 1.114655-3 2.483133-1 7.291457-4 2.786121-1 4.991661-4 3.126079-1 3.442209-4 3.467369-1 2.480261-4 3.845918-1 1.799213-4 4.265795-1 1.314459-4 4.731513-1 9.676087-5 5.188000-1 7.419601-5 5.688529-1 5.727704-5 6.237348-1 4.451182-5 6.839117-1 3.482645-5 7.498942-1 2.744036-5 8.609938-1 1.937836-5 9.225714-1 1.640397-5 9.772372-1 1.437365-5 1.035142+0 1.268479-5 1.109175+0 1.099372-5 1.188600+0 9.598900-6 1.303167+0 8.101377-6 1.462177+0 6.603786-6 1.698244+0 5.095944-6 1.905461+0 4.203013-6 2.137962+0 3.493297-6 2.426610+0 2.871573-6 2.786121+0 2.337243-6 3.198895+0 1.916695-6 3.715352+0 1.557876-6 4.365158+0 1.255931-6 5.188000+0 1.004917-6 6.237348+0 7.984251-7 7.585776+0 6.300851-7 9.440609+0 4.872328-7 1.230269+1 3.601942-7 1.640590+1 2.617043-7 2.317395+1 1.802241-7 3.427678+1 1.191547-7 5.432503+1 7.386908-8 9.885531+1 4.004397-8 1.972423+2 1.990248-8 7.852356+2 4.967185-9 4.954502+4 7.85611-11 1.000000+5 3.89340-11 1 30000 7 0 6.537000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 9.374000-5 3.295300-5 1.000000+5 3.295300-5 1 30000 7 7 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 9.374000-5 2.139700-9 1.000000+5 2.139700-9 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 9.374000-5 6.078486-5 1.000000+5 1.000000+5 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 9.059000-5 5.573080+5 9.120108-5 5.511633+5 9.240000-5 5.353360+5 9.350000-5 5.181000+5 9.500000-5 4.924920+5 9.720000-5 4.541960+5 1.011579-4 3.927492+5 1.030000-4 3.697256+5 1.047129-4 3.519156+5 1.065000-4 3.369680+5 1.080000-4 3.271408+5 1.096478-4 3.189813+5 1.110000-4 3.141600+5 1.128000-4 3.100660+5 1.148154-4 3.082185+5 1.161449-4 3.083503+5 1.180000-4 3.100384+5 1.205000-4 3.145640+5 1.230269-4 3.211339+5 1.260000-4 3.306616+5 1.318257-4 3.524976+5 1.412538-4 3.900592+5 1.480000-4 4.154680+5 1.548817-4 4.388211+5 1.620000-4 4.597000+5 1.690000-4 4.766880+5 1.760000-4 4.901200+5 1.820000-4 4.988880+5 1.900000-4 5.069080+5 1.980000-4 5.111880+5 2.065380-4 5.122937+5 2.162719-4 5.100800+5 2.264644-4 5.047422+5 2.400000-4 4.942840+5 2.540973-4 4.807422+5 2.691535-4 4.644514+5 2.851018-4 4.457696+5 3.019952-4 4.251642+5 3.200000-4 4.028120+5 3.430000-4 3.746856+5 3.700000-4 3.435152+5 4.000000-4 3.118132+5 4.350000-4 2.787720+5 4.700000-4 2.495584+5 5.069907-4 2.223406+5 5.559043-4 1.917285+5 6.095369-4 1.640578+5 6.683439-4 1.393234+5 7.328245-4 1.173484+5 8.035261-4 9.818822+4 8.912509-4 7.971202+4 9.772372-4 6.573896+4 1.083927-3 5.255714+4 1.202264-3 4.170529+4 1.350000-3 3.191556+4 1.513561-3 2.431011+4 1.698244-3 1.833391+4 1.905461-3 1.372387+4 2.162719-3 9.895493+3 2.454709-3 7.075608+3 2.754229-3 5.180128+3 3.126079-3 3.649125+3 3.548134-3 2.551438+3 4.027170-3 1.770760+3 4.570882-3 1.219897+3 5.188000-3 8.344309+2 5.888437-3 5.667816+2 6.683439-3 3.822460+2 7.673615-3 2.468212+2 8.810489-3 1.581681+2 1.011579-2 1.006000+2 1.174898-2 6.114809+1 1.364583-2 3.688911+1 1.584893-2 2.209580+1 1.862087-2 1.262730+1 2.187762-2 7.162061+0 2.600160-2 3.870926+0 3.126079-2 1.992406+0 3.801894-2 9.761805-1 4.841724-2 4.006658-1 6.531306-2 1.319120-1 9.772372-2 2.948703-2 1.216186-1 1.314470-2 1.445440-1 6.993237-3 1.678804-1 4.074217-3 1.927525-1 2.492551-3 2.187762-1 1.600554-3 2.454709-1 1.077869-3 2.722701-1 7.603374-4 3.019952-1 5.402452-4 3.311311-1 4.013950-4 3.630781-1 3.002566-4 3.981072-1 2.262377-4 4.365158-1 1.718303-4 4.731513-1 1.359574-4 5.128614-1 1.082509-4 5.559043-1 8.674732-5 6.025596-1 6.996979-5 6.531306-1 5.682796-5 7.079458-1 4.645889-5 7.673615-1 3.822787-5 8.511380-1 2.998114-5 9.120108-1 2.565189-5 9.772372-1 2.208974-5 1.071519+0 1.827690-5 1.174898+0 1.523260-5 1.288250+0 1.280293-5 1.428894+0 1.060660-5 1.640590+0 8.325897-6 1.840772+0 6.854616-6 2.065380+0 5.685200-6 2.344229+0 4.663911-6 2.660725+0 3.853558-6 3.054921+0 3.152613-6 3.548134+0 2.556396-6 4.168694+0 2.056412-6 4.954502+0 1.641993-6 5.956621+0 1.302141-6 7.244360+0 1.025783-6 9.120108+0 7.814192-7 1.188502+1 5.770032-7 1.496236+1 4.465233-7 1.840772+1 3.557565-7 2.600160+1 2.456640-7 3.935501+1 1.589276-7 6.456542+1 9.530858-8 1.273503+2 4.770901-8 2.540973+2 2.376178-8 5.069907+2 1.186768-8 8.035261+3 7.46579-10 1.000000+5 5.99890-11 1 30000 7 0 6.537000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 9.059000-5 3.270700-5 1.000000+5 3.270700-5 1 30000 7 7 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 9.059000-5 1.972500-9 1.000000+5 1.972500-9 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 9.059000-5 5.788103-5 1.000000+5 1.000000+5 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.685000-5 1.433388+6 2.000000-5 1.439212+6 2.070000-5 1.448680+6 2.150000-5 1.470460+6 2.238721-5 1.505770+6 2.330000-5 1.552008+6 2.450000-5 1.624780+6 2.580000-5 1.715060+6 2.786121-5 1.875426+6 3.507519-5 2.495195+6 3.801894-5 2.741523+6 4.073803-5 2.951832+6 4.315191-5 3.122412+6 4.570882-5 3.282233+6 4.841724-5 3.424468+6 5.128614-5 3.545874+6 5.432503-5 3.642108+6 5.688529-5 3.698965+6 6.000000-5 3.740276+6 6.309573-5 3.755552+6 6.683439-5 3.747311+6 7.079458-5 3.713419+6 7.500000-5 3.656212+6 8.035261-5 3.564163+6 8.609938-5 3.450786+6 9.300000-5 3.303232+6 1.000000-4 3.148476+6 1.071519-4 2.986416+6 1.148154-4 2.811793+6 1.220000-4 2.648280+6 1.303167-4 2.461875+6 1.380384-4 2.294817+6 1.462177-4 2.125725+6 1.566751-4 1.925368+6 1.678804-4 1.730992+6 1.819701-4 1.517045+6 1.950000-4 1.345312+6 2.089296-4 1.186379+6 2.238721-4 1.038712+6 2.400000-4 9.024440+5 2.600160-4 7.609118+5 2.818383-4 6.354881+5 3.054921-4 5.270712+5 3.311311-4 4.343506+5 3.630781-4 3.452851+5 3.981072-4 2.719944+5 4.415704-4 2.059141+5 4.897788-4 1.545419+5 5.370318-4 1.189003+5 5.888437-4 9.087729+4 6.531306-4 6.665736+4 7.244360-4 4.853711+4 8.035261-4 3.509909+4 9.015711-4 2.427667+4 1.011579-3 1.667399+4 1.135011-3 1.136162+4 1.273503-3 7.683745+3 1.428894-3 5.159584+3 1.621810-3 3.304270+3 1.840772-3 2.099895+3 2.089296-3 1.324621+3 2.371374-3 8.296627+2 2.691535-3 5.159381+2 3.054921-3 3.185839+2 3.467369-3 1.953631+2 3.935501-3 1.189440+2 4.466836-3 7.188687+1 5.069907-3 4.313666+1 5.754399-3 2.570349+1 6.531306-3 1.521038+1 7.585776-3 8.117928+0 8.810489-3 4.299406+0 1.071519-2 1.855751+0 1.288250-2 8.353388-1 1.548817-2 3.731779-1 1.883649-2 1.573179-1 2.238721-2 7.290958-2 2.851018-2 2.462282-2 5.559043-2 1.208286-3 6.998420-2 4.300619-4 8.511380-2 1.799905-4 1.011580-1 8.407322-5 1.174898-1 4.376317-5 1.348963-1 2.412432-5 1.531088-1 1.407448-5 1.737801-1 8.275608-6 1.949845-1 5.143532-6 2.187762-1 3.219532-6 2.426610-1 2.126642-6 2.691535-1 1.415220-6 2.951209-1 9.921566-7 3.235937-1 7.002991-7 3.548134-1 4.976665-7 3.890451-1 3.560295-7 4.315191-1 2.459966-7 4.731513-1 1.784281-7 5.128614-1 1.356395-7 5.559043-1 1.038201-7 6.025596-1 7.997784-8 6.531306-1 6.200213-8 7.079458-1 4.837570-8 7.673615-1 3.798774-8 8.035261-1 3.316146-8 8.511380-1 2.788234-8 8.912509-1 2.439227-8 9.332543-1 2.146509-8 9.772372-1 1.902627-8 1.011579+0 1.747879-8 1.059254+0 1.572020-8 1.109175+0 1.423810-8 1.161449+0 1.297772-8 1.216186+0 1.189756-8 1.318257+0 1.031378-8 1.531087+0 8.020482-9 1.798871+0 6.087304-9 2.000000+0 5.109800-9 2.264644+0 4.199451-9 2.570396+0 3.463248-9 2.951209+0 2.827946-9 3.427678+0 2.288983-9 4.000000+0 1.854900-9 4.731513+0 1.487255-9 5.623413+0 1.194180-9 6.839116+0 9.38604-10 8.511380+0 7.23196-10 1.059254+1 5.61476-10 1.333521+1 4.32914-10 1.757924+1 3.19253-10 2.511886+1 2.17556-10 3.758374+1 1.42350-10 5.956621+1 8.83821-11 1.122018+2 4.63112-11 2.238721+2 2.30430-11 4.466836+2 1.15044-11 3.548134+3 1.44376-12 1.000000+5 5.12110-14 1 30000 7 0 6.537000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.685000-5 1.685000-5 1.000000+5 1.685000-5 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.685000-5 0.0 1.000000+5 1.000000+5 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.646000-5 2.372142+6 1.700000-5 2.302434+6 1.760000-5 2.248398+6 1.819701-5 2.214839+6 1.883649-5 2.198063+6 1.950000-5 2.198394+6 2.018366-5 2.214215+6 2.089296-5 2.244508+6 2.162719-5 2.288320+6 2.264644-5 2.365973+6 2.371374-5 2.463780+6 2.511886-5 2.611690+6 2.691535-5 2.822937+6 3.467369-5 3.834465+6 3.758374-5 4.201213+6 4.027170-5 4.515358+6 4.300000-5 4.800666+6 4.570882-5 5.046052+6 4.841724-5 5.251807+6 5.128614-5 5.423360+6 5.400000-5 5.543910+6 5.688529-5 5.629609+6 6.025596-5 5.682873+6 6.382635-5 5.692907+6 6.760830-5 5.660175+6 7.161434-5 5.590760+6 7.673615-5 5.468140+6 8.222426-5 5.307742+6 8.912509-5 5.086165+6 9.549926-5 4.871238+6 1.023293-4 4.635366+6 1.096478-4 4.381421+6 1.171100-4 4.120941+6 1.244515-4 3.868397+6 1.318257-4 3.619999+6 1.401800-4 3.349225+6 1.500000-4 3.051330+6 1.603245-4 2.763289+6 1.720000-4 2.472708+6 1.862087-4 2.163521+6 2.000000-4 1.905798+6 2.162719-4 1.645668+6 2.317395-4 1.434822+6 2.500000-4 1.224996+6 2.722701-4 1.015541+6 2.951209-4 8.440160+5 3.198895-4 6.969670+5 3.467369-4 5.718470+5 3.801894-4 4.521911+5 4.200000-4 3.473472+5 4.677351-4 2.586221+5 5.188000-4 1.931480+5 5.688529-4 1.478841+5 6.309573-4 1.086421+5 7.000000-4 7.916340+4 7.762471-4 5.735365+4 8.609938-4 4.124472+4 9.660509-4 2.837605+4 1.083927-3 1.937076+4 1.216186-3 1.312452+4 1.364583-3 8.828951+3 1.548817-3 5.664005+3 1.757924-3 3.605574+3 2.000000-3 2.257950+3 2.264644-3 1.428297+3 2.570396-3 8.891584+2 2.917427-3 5.495481+2 3.311311-3 3.372847+2 3.758374-3 2.055333+2 4.265795-3 1.243419+2 4.841724-3 7.467399+1 5.495409-3 4.450841+1 6.309573-3 2.510767+1 7.079458-3 1.547616+1 8.230370-3 8.150390+0 9.660509-3 4.089257+0 1.174898-2 1.749531+0 1.412538-2 7.807760-1 1.698244-2 3.457391-1 2.041738-2 1.519619-1 2.483133-2 6.287467-2 3.198895-2 1.989003-2 5.754399-2 1.365082-3 7.244360-2 4.803908-4 8.912509-2 1.890628-4 1.035142-1 9.706591-5 1.188502-1 5.281577-5 1.348963-1 3.044573-5 1.531088-1 1.768618-5 1.698244-1 1.141212-5 1.883649-1 7.414496-6 2.065380-1 5.086684-6 2.264644-1 3.513357-6 2.483133-1 2.443764-6 2.722701-1 1.712491-6 2.951209-1 1.262686-6 3.198895-1 9.369696-7 3.467369-1 6.999852-7 3.758374-1 5.267097-7 4.027170-1 4.152932-7 4.365158-1 3.172802-7 4.731513-1 2.442413-7 5.128614-1 1.893777-7 5.559043-1 1.478832-7 6.025596-1 1.163948-7 6.456542-1 9.544944-8 6.918310-1 7.875043-8 7.585776-1 6.146853-8 8.128305-1 5.129435-8 8.709636-1 4.311377-8 9.225714-1 3.754309-8 9.772372-1 3.290981-8 1.035142+0 2.905514-8 1.109175+0 2.518856-8 1.188600+0 2.199400-8 1.318257+0 1.817699-8 1.479108+0 1.482298-8 1.698244+0 1.166906-8 1.905461+0 9.624760-9 2.137962+0 7.999726-9 2.426610+0 6.576006-9 2.786121+0 5.352347-9 3.198895+0 4.389236-9 3.715352+0 3.567493-9 4.365158+0 2.876015-9 5.188000+0 2.301218-9 6.237348+0 1.828403-9 7.585776+0 1.442893-9 9.440609+0 1.115737-9 1.230269+1 8.24850-10 1.640590+1 5.99307-10 2.317395+1 4.12720-10 3.427678+1 2.72877-10 5.432503+1 1.69161-10 9.772372+1 9.27817-11 1.949845+2 4.61090-11 3.890451+2 2.30111-11 3.090295+3 2.88610-12 1.000000+5 8.91590-14 1 30000 7 0 6.537000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.646000-5 1.646000-5 1.000000+5 1.646000-5 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.646000-5 0.0 1.000000+5 1.000000+5 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 8.610000-6 2.887780+6 8.710000-6 2.712740+6 9.015711-6 2.214771+6 9.332543-6 1.796575+6 9.660509-6 1.447562+6 1.000000-5 1.157040+6 1.023293-5 9.919647+5 1.050000-5 8.306800+5 1.075600-5 6.998435+5 1.100000-5 5.935840+5 1.127000-5 4.937200+5 1.150000-5 4.211280+5 1.174898-5 3.536178+5 1.200400-5 2.946817+5 1.222000-5 2.517400+5 1.244515-5 2.128928+5 1.260000-5 1.892694+5 1.280000-5 1.620854+5 1.300000-5 1.382590+5 1.320000-5 1.174062+5 1.340000-5 9.919180+4 1.357000-5 8.556380+4 1.372000-5 7.481480+4 1.385000-5 6.638380+4 1.400000-5 5.759460+4 1.415000-5 4.972960+4 1.430000-5 4.271040+4 1.445440-5 3.629330+4 1.460000-5 3.092900+4 1.470000-5 2.760200+4 1.480000-5 2.454660+4 1.490000-5 2.174720+4 1.500000-5 1.918928+4 1.511000-5 1.663774+4 1.522000-5 1.434408+4 1.531087-5 1.263208+4 1.540000-5 1.110472+4 1.550000-5 9.560160+3 1.560000-5 8.184400+3 1.570000-5 6.967620+3 1.580000-5 5.900480+3 1.590000-5 4.974140+3 1.617000-5 3.112760+3 1.625000-5 2.724700+3 1.632000-5 2.441300+3 1.637000-5 2.269640+3 1.642000-5 2.122740+3 1.647000-5 1.999804+3 1.651000-5 1.918218+3 1.655000-5 1.851128+3 1.658500-5 1.804024+3 1.662000-5 1.767500+3 1.666000-5 1.738410+3 1.670000-5 1.722486+3 1.673500-5 1.719090+3 1.677000-5 1.725298+3 1.681000-5 1.743876+3 1.685000-5 1.774400+3 1.688500-5 1.810664+3 1.692000-5 1.855638+3 1.697100-5 1.936346+3 1.702000-5 2.030360+3 1.707000-5 2.142360+3 1.712000-5 2.270080+3 1.720000-5 2.505820+3 1.730000-5 2.852100+3 1.750000-5 3.702280+3 1.760000-5 4.199180+3 1.770000-5 4.739560+3 1.782000-5 5.441140+3 1.793000-5 6.131160+3 1.804000-5 6.862340+3 1.815000-5 7.631320+3 1.826000-5 8.434900+3 1.840000-5 9.502960+3 1.855000-5 1.069764+4 1.870000-5 1.193802+4 1.885000-5 1.321808+4 1.900000-5 1.453234+4 1.915000-5 1.587570+4 1.927525-5 1.701633+4 1.944700-5 1.860364+4 1.965000-5 2.050700+4 1.985000-5 2.240300+4 2.000000-5 2.383420+4 2.020000-5 2.574900+4 2.047000-5 2.833640+4 2.075800-5 3.108638+4 2.100000-5 3.337980+4 2.130000-5 3.619100+4 2.162719-5 3.920555+4 2.200000-5 4.256180+4 2.239600-5 4.602241+4 2.285000-5 4.984440+4 2.330000-5 5.346880+4 2.371374-5 5.665154+4 2.426610-5 6.067260+4 2.485000-5 6.463900+4 2.540973-5 6.817199+4 2.610000-5 7.217680+4 2.690000-5 7.635220+4 2.770000-5 8.005940+4 2.851018-5 8.337387+4 2.951209-5 8.691551+4 3.054921-5 8.999888+4 3.162278-5 9.263679+4 3.300000-5 9.530540+4 3.450000-5 9.744240+4 3.630781-5 9.915663+4 3.801894-5 1.000824+5 4.027170-5 1.004870+5 4.265795-5 1.001513+5 4.518559-5 9.918190+4 4.841724-5 9.729664+4 5.188000-5 9.475711+4 5.559043-5 9.169306+4 6.000000-5 8.779180+4 6.500000-5 8.325640+4 7.000000-5 7.874980+4 7.585776-5 7.364669+4 8.222426-5 6.838116+4 8.912509-5 6.307770+4 9.800000-5 5.690300+4 1.080000-4 5.080300+4 1.202264-4 4.447285+4 1.364583-4 3.769576+4 1.603245-4 3.027019+4 1.949845-4 2.298449+4 3.126079-4 1.162256+4 3.715352-4 9.010355+3 4.120975-4 7.695200+3 4.786301-4 6.073393+3 5.688529-4 4.582558+3 7.328245-4 3.002617+3 8.511380-4 2.326602+3 9.772372-4 1.824817+3 1.174898-3 1.308970+3 1.380384-3 9.718081+2 1.603245-3 7.319667+2 1.883649-3 5.354183+2 2.238721-3 3.801293+2 2.660725-3 2.678006+2 3.126079-3 1.917279+2 3.715352-3 1.329808+2 4.365158-3 9.395457+1 5.069907-3 6.753176+1 5.888437-3 4.818596+1 6.918310-3 3.326132+1 8.128305-3 2.277995+1 9.549926-3 1.547790+1 1.109175-2 1.073221+1 1.303167-2 7.179788+0 1.531087-2 4.766445+0 1.798871-2 3.140570+0 2.113489-2 2.054004+0 2.483133-2 1.333631+0 2.951209-2 8.331500-1 3.507519-2 5.164113-1 4.216965-2 3.075941-1 5.069907-2 1.818321-1 6.165950-2 1.031506-1 7.762471-2 5.251094-2 1.011580-1 2.395573-2 1.778279-1 4.429640-3 2.290868-1 2.090515-3 2.691535-1 1.305164-3 3.126079-1 8.490463-4 3.548134-1 5.942269-4 4.000000-1 4.269900-4 4.466836-1 3.172393-4 4.954502-1 2.417258-4 5.495409-1 1.855874-4 6.025596-1 1.477163-4 6.606935-1 1.183763-4 7.244360-1 9.551204-5 7.943282-1 7.760066-5 8.709636-1 6.347306-5 9.549926-1 5.231384-5 1.059254+0 4.246654-5 1.188600+0 3.387800-5 1.318257+0 2.785469-5 1.462177+0 2.305528-5 1.621810+0 1.921169-5 1.819701+0 1.580714-5 2.044000+0 1.308200-5 2.317395+0 1.074510-5 2.630268+0 8.872355-6 3.019952+0 7.253292-6 3.507519+0 5.878024-6 4.120975+0 4.725703-6 4.841724+0 3.827479-6 5.821032+0 3.032347-6 7.079458+0 2.386623-6 8.912509+0 1.816588-6 1.135011+1 1.375831-6 1.428894+1 1.063041-6 1.819701+1 8.152484-7 2.570396+1 5.628159-7 3.845918+1 3.684196-7 6.165950+1 2.261440-7 1.174898+2 1.171662-7 2.344229+2 5.831976-8 4.677351+2 2.912073-8 7.413102+3 1.831445-9 1.000000+5 1.35760-10 1 30000 7 0 6.537000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 8.610000-6 8.610000-6 1.000000+5 8.610000-6 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 8.610000-6 0.0 1.000000+5 1.000000+5 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 4.263350-8 1.028750+0 4.263350-7 1.032000+0 1.373770-6 1.033200+0 1.924420-6 1.034000+0 2.362400-6 1.035300+0 3.206630-6 1.036640+0 4.263350-6 1.038200+0 5.753530-6 1.039700+0 7.474990-6 1.041500+0 9.945390-6 1.043800+0 1.380450-5 1.046400+0 1.920640-5 1.048300+0 2.391250-5 1.051200+0 3.243680-5 1.054080+0 4.263350-5 1.057700+0 5.811220-5 1.061100+0 7.558930-5 1.065100+0 1.000720-4 1.070400+0 1.396100-4 1.076200+0 1.929410-4 1.080600+0 2.409520-4 1.087100+0 3.246420-4 1.093710+0 4.263350-4 1.102600+0 5.911090-4 1.110700+0 7.709230-4 1.120600+0 1.031270-3 1.133300+0 1.433910-3 1.147500+0 1.979820-3 1.158200+0 2.460410-3 1.174100+0 3.288400-3 1.190110+0 4.263350-3 1.205100+0 5.306710-3 1.227500+0 7.102230-3 1.250000+0 9.179000-3 1.265600+0 1.076840-2 1.294900+0 1.406110-2 1.331800+0 1.872630-2 1.362600+0 2.301380-2 1.411700+0 3.051020-2 1.455800+0 3.787680-2 1.500000+0 4.586000-2 1.562500+0 5.820380-2 1.617200+0 6.998920-2 1.712900+0 9.261280-2 1.784700+0 1.110570-1 1.892300+0 1.405220-1 2.000000+0 1.714000-1 2.044000+0 1.842000-1 2.163500+0 2.194890-1 2.372600+0 2.824450-1 2.647100+0 3.655040-1 3.000000+0 4.706000-1 3.437500+0 5.960560-1 4.000000+0 7.480000-1 4.750000+0 9.341560-1 5.000000+0 9.925000-1 6.000000+0 1.209000+0 7.000000+0 1.402000+0 8.000000+0 1.576000+0 9.000000+0 1.733000+0 1.000000+1 1.875000+0 1.100000+1 2.004000+0 1.200000+1 2.123000+0 1.300000+1 2.232000+0 1.400000+1 2.334000+0 1.500000+1 2.429000+0 1.600000+1 2.518000+0 1.800000+1 2.682000+0 2.000000+1 2.828000+0 2.200000+1 2.960000+0 2.400000+1 3.079000+0 2.600000+1 3.189000+0 2.800000+1 3.289000+0 3.000000+1 3.382000+0 4.000000+1 3.761000+0 5.000000+1 4.045000+0 6.000000+1 4.266000+0 8.000000+1 4.595000+0 1.000000+2 4.829000+0 1.500000+2 5.203000+0 2.000000+2 5.426000+0 3.000000+2 5.686000+0 4.000000+2 5.835000+0 5.000000+2 5.933000+0 6.000000+2 6.004000+0 8.000000+2 6.097000+0 1.000000+3 6.158000+0 1.500000+3 6.245000+0 2.000000+3 6.293000+0 3.000000+3 6.344000+0 4.000000+3 6.372000+0 5.000000+3 6.389000+0 6.000000+3 6.401000+0 8.000000+3 6.417000+0 1.000000+4 6.427000+0 1.500000+4 6.441000+0 2.000000+4 6.448000+0 3.000000+4 6.456000+0 4.000000+4 6.460000+0 5.000000+4 6.463000+0 6.000000+4 6.465000+0 8.000000+4 6.467000+0 1.000000+5 6.468000+0 1 30000 7 8 6.537000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 3.011450-7 2.114000+0 1.357560-6 2.119500+0 1.690160-6 2.127900+0 2.292170-6 2.136250+0 3.011450-6 2.147000+0 4.128910-6 2.156900+0 5.362960-6 2.169000+0 7.157200-6 2.184500+0 9.948750-6 2.201800+0 1.376440-5 2.214800+0 1.714930-5 2.234200+0 2.306890-5 2.253680+0 3.011450-5 2.281500+0 4.218070-5 2.307000+0 5.540430-5 2.338200+0 7.449590-5 2.377400+0 1.031680-4 2.410200+0 1.312130-4 2.446800+0 1.669100-4 2.485900+0 2.101490-4 2.532900+0 2.689440-4 2.556430+0 3.011450-4 2.611900+0 3.839910-4 2.660400+0 4.642210-4 2.745300+0 6.213220-4 2.809000+0 7.524520-4 2.904500+0 9.693290-4 3.000000+0 1.210000-3 3.125000+0 1.560350-3 3.234400+0 1.898740-3 3.425800+0 2.557300-3 3.569300+0 3.101350-3 3.784700+0 3.987420-3 4.000000+0 4.940000-3 4.250000+0 6.104480-3 4.625000+0 7.934770-3 5.000000+0 9.839000-3 5.500000+0 1.245660-2 6.000000+0 1.511000-2 6.750000+0 1.905230-2 7.000000+0 2.035000-2 8.000000+0 2.544000-2 9.000000+0 3.032000-2 1.000000+1 3.495000-2 1.100000+1 3.934000-2 1.200000+1 4.348000-2 1.300000+1 4.739000-2 1.400000+1 5.112000-2 1.500000+1 5.465000-2 1.600000+1 5.801000-2 1.800000+1 6.424000-2 2.000000+1 6.992000-2 2.200000+1 7.513000-2 2.400000+1 7.993000-2 2.600000+1 8.436000-2 2.800000+1 8.849000-2 3.000000+1 9.233000-2 4.000000+1 1.083000-1 5.000000+1 1.206000-1 6.000000+1 1.303000-1 8.000000+1 1.451000-1 1.000000+2 1.559000-1 1.500000+2 1.739000-1 2.000000+2 1.852000-1 3.000000+2 1.992000-1 4.000000+2 2.075000-1 5.000000+2 2.133000-1 6.000000+2 2.175000-1 8.000000+2 2.233000-1 1.000000+3 2.272000-1 1.500000+3 2.330000-1 2.000000+3 2.363000-1 3.000000+3 2.398000-1 4.000000+3 2.419000-1 5.000000+3 2.432000-1 6.000000+3 2.441000-1 8.000000+3 2.453000-1 1.000000+4 2.461000-1 1.500000+4 2.471000-1 2.000000+4 2.478000-1 3.000000+4 2.483000-1 4.000000+4 2.487000-1 5.000000+4 2.489000-1 6.000000+4 2.491000-1 8.000000+4 2.492000-1 1.000000+5 2.493000-1 1 30000 7 8 6.537000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 30000 7 9 6.537000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 3.000000+1 1.000000+5 3.000000+1 5.000000+5 2.998400+1 8.750000+5 2.996870+1 1.000000+6 2.996500+1 1.375000+6 2.994980+1 1.500000+6 2.994200+1 1.875000+6 2.991050+1 2.000000+6 2.989800+1 2.500000+6 2.984100+1 3.000000+6 2.977300+1 3.500000+6 2.969280+1 4.000000+6 2.960300+1 4.500000+6 2.950510+1 5.000000+6 2.939700+1 5.687500+6 2.922830+1 6.156200+6 2.910510+1 6.500000+6 2.901090+1 6.718700+6 2.894860+1 7.000000+6 2.886800+1 7.500000+6 2.871780+1 8.250000+6 2.848230+1 9.000000+6 2.824400+1 9.750000+6 2.799630+1 1.000000+7 2.791400+1 1.062500+7 2.769760+1 1.156300+7 2.736230+1 1.187500+7 2.724670+1 1.250000+7 2.701900+1 1.375000+7 2.655400+1 1.500000+7 2.609500+1 1.750000+7 2.518400+1 2.000000+7 2.426600+1 2.250000+7 2.336150+1 2.500000+7 2.247100+1 2.750000+7 2.159140+1 3.000000+7 2.072000+1 3.343800+7 1.953710+1 3.500000+7 1.901120+1 3.718800+7 1.828930+1 4.000000+7 1.739200+1 4.250000+7 1.662390+1 4.500000+7 1.588870+1 4.625000+7 1.553370+1 5.000000+7 1.451900+1 5.500000+7 1.328440+1 5.750000+7 1.271960+1 6.000000+7 1.218900+1 6.750000+7 1.079050+1 7.000000+7 1.038700+1 7.750000+7 9.343670+0 8.000000+7 9.046900+0 8.750000+7 8.289970+0 9.000000+7 8.075400+0 9.750000+7 7.526080+0 1.000000+8 7.368400+0 1.109400+8 6.790620+0 1.125000+8 6.719080+0 1.250000+8 6.219400+0 1.437500+8 5.611520+0 1.500000+8 5.427700+0 1.617200+8 5.092900+0 1.712900+8 4.822330+0 1.750000+8 4.717110+0 1.815400+8 4.530280+0 1.907700+8 4.264630+0 2.000000+8 3.997200+0 2.062500+8 3.816620+0 2.335900+8 3.131580+0 2.375000+8 3.054270+0 2.445300+8 2.929310+0 2.500000+8 2.844800+0 2.781300+8 2.512800+0 2.859400+8 2.422700+0 2.875000+8 2.403820+0 2.929700+8 2.335610+0 3.000000+8 2.241200+0 3.062500+8 2.151260+0 3.308600+8 1.815550+0 3.377000+8 1.741240+0 3.459000+8 1.667660+0 3.500000+8 1.637600+0 3.562500+8 1.600530+0 3.617200+8 1.574870+0 3.712900+8 1.540660+0 4.000000+8 1.463900+0 4.125000+8 1.422840+0 4.234400+8 1.382440+0 4.425800+8 1.307880+0 4.856400+8 1.156140+0 5.000000+8 1.116500+0 5.125000+8 1.087390+0 6.000000+8 9.408000-1 6.250000+8 8.994000-1 7.000000+8 7.837000-1 7.625000+8 7.086000-1 7.875000+8 6.790930-1 8.000000+8 6.639000-1 8.250000+8 6.321840-1 8.564500+8 5.913540-1 8.827600+8 5.574970-1 9.246300+8 5.058750-1 9.811600+8 4.431070-1 1.000000+9 4.242000-1 1.089800+9 3.471270-1 1.165000+9 2.957780-1 1.248800+9 2.490980-1 1.338500+9 2.085180-1 1.419300+9 1.784190-1 1.500000+9 1.532000-1 1.562500+9 1.364110-1 1.671900+9 1.118350-1 1.753900+9 9.676870-2 1.877000+9 7.842050-2 2.000000+9 6.411300-2 2.187500+9 4.793210-2 2.363300+9 3.710070-2 2.605300+9 2.668400-2 2.827400+9 2.013720-2 3.099000+9 1.461990-2 3.447500+9 1.002480-2 4.002000+9 5.868460-3 5.000000+9 2.613100-3 8.000000+9 4.700100-4 9.500000+9 2.517420-4 1.00000+10 2.091300-4 1.20500+10 1.071860-4 1.41820+10 6.019320-5 1.71170+10 3.115430-5 2.01490+10 1.771170-5 2.26440+10 1.186240-5 2.74790+10 6.140580-6 3.41360+10 2.959550-6 4.02450+10 1.710380-6 4.77140+10 9.746310-7 5.73000+10 5.349240-7 7.25500+10 2.485500-7 9.08500+10 1.204820-7 1.00000+11 8.861000-8 1.34280+11 3.469400-8 1.77440+11 1.440640-8 2.63330+11 4.199830-9 3.75720+11 1.400290-9 6.61190+11 2.49219-10 1.48990+12 2.16555-11 4.26460+12 9.66037-13 2.06510+13 9.75846-15 1.00000+14 1.00710-16 5.62340+14 6.47428-19 7.49890+15 3.09304-22 1.00000+17 1.40780-25 1 30000 7 0 6.537000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 4.10000-12 1.000000+2 4.10000-10 1.000000+3 4.100000-8 1.000000+4 4.100000-6 1.000000+5 4.100000-4 5.000000+5 1.025000-2 8.750000+5 3.139063-2 1.000000+6 4.100000-2 1.375000+6 7.785900-2 1.500000+6 9.260000-2 1.875000+6 1.437530-1 2.000000+6 1.631000-1 2.500000+6 2.517000-1 3.000000+6 3.571000-1 3.500000+6 4.776380-1 4.000000+6 6.115000-1 4.500000+6 7.568610-1 5.000000+6 9.120000-1 5.687500+6 1.138090+0 6.156200+6 1.298580+0 6.500000+6 1.418620+0 6.718700+6 1.495820+0 7.000000+6 1.595600+0 7.500000+6 1.773810+0 8.250000+6 2.041650+0 9.000000+6 2.307300+0 9.750000+6 2.568230+0 1.000000+7 2.654000+0 1.062500+7 2.864870+0 1.156300+7 3.172770+0 1.187500+7 3.272900+0 1.250000+7 3.470000+0 1.375000+7 3.851630+0 1.500000+7 4.220000+0 1.750000+7 4.932200+0 2.000000+7 5.631000+0 2.250000+7 6.328250+0 2.500000+7 7.023600+0 2.750000+7 7.711450+0 3.000000+7 8.388000+0 3.343800+7 9.287650+0 3.500000+7 9.684290+0 3.718800+7 1.022730+1 4.000000+7 1.090100+1 4.250000+7 1.147710+1 4.500000+7 1.203460+1 4.625000+7 1.230540+1 5.000000+7 1.309400+1 5.500000+7 1.408740+1 5.750000+7 1.456050+1 6.000000+7 1.502000+1 6.750000+7 1.630830+1 7.000000+7 1.670900+1 7.750000+7 1.782040+1 8.000000+7 1.816300+1 8.750000+7 1.910630+1 9.000000+7 1.939500+1 9.750000+7 2.018480+1 1.000000+8 2.042700+1 1.109400+8 2.136820+1 1.125000+8 2.148880+1 1.250000+8 2.236500+1 1.437500+8 2.343460+1 1.500000+8 2.374500+1 1.617200+8 2.427900+1 1.712900+8 2.467550+1 1.750000+8 2.482190+1 1.815400+8 2.506470+1 1.907700+8 2.538490+1 2.000000+8 2.568300+1 2.062500+8 2.586750+1 2.335900+8 2.657350+1 2.375000+8 2.665940+1 2.445300+8 2.681010+1 2.500000+8 2.691900+1 2.781300+8 2.739260+1 2.859400+8 2.750600+1 2.875000+8 2.752640+1 2.929700+8 2.759740+1 3.000000+8 2.768700+1 3.062500+8 2.775910+1 3.308600+8 2.801430+1 3.377000+8 2.807500+1 3.459000+8 2.814610+1 3.500000+8 2.818100+1 3.562500+8 2.822890+1 3.617200+8 2.827020+1 3.712900+8 2.834120+1 4.000000+8 2.853000+1 4.125000+8 2.860250+1 4.234400+8 2.866420+1 4.425800+8 2.876240+1 4.856400+8 2.896070+1 5.000000+8 2.902100+1 5.125000+8 2.906850+1 6.000000+8 2.935800+1 6.250000+8 2.942250+1 7.000000+8 2.958800+1 7.625000+8 2.968900+1 7.875000+8 2.972260+1 8.000000+8 2.973900+1 8.250000+8 2.976620+1 8.564500+8 2.979790+1 8.827600+8 2.981960+1 9.246300+8 2.985280+1 9.811600+8 2.988550+1 1.000000+9 2.989600+1 1.089800+9 2.992930+1 1.165000+9 2.994940+1 1.248800+9 2.996500+1 1.338500+9 2.997600+1 1.419300+9 2.998220+1 1.500000+9 2.998800+1 1.562500+9 2.998940+1 1.671900+9 2.999180+1 1.753900+9 2.999340+1 1.877000+9 2.999580+1 2.000000+9 2.999800+1 2.187500+9 2.999820+1 2.363300+9 2.999840+1 2.605300+9 2.999860+1 2.827400+9 2.999880+1 3.099000+9 2.999900+1 3.447500+9 2.999920+1 4.002000+9 2.999950+1 5.000000+9 3.000000+1 8.000000+9 3.000000+1 9.500000+9 3.000000+1 1.00000+10 3.000000+1 1.20500+10 3.000000+1 1.41820+10 3.000000+1 1.71170+10 3.000000+1 2.01490+10 3.000000+1 2.26440+10 3.000000+1 2.74790+10 3.000000+1 3.41360+10 3.000000+1 4.02450+10 3.000000+1 4.77140+10 3.000000+1 5.73000+10 3.000000+1 7.25500+10 3.000000+1 9.08500+10 3.000000+1 1.00000+11 3.000000+1 1.34280+11 3.000000+1 1.77440+11 3.000000+1 2.63330+11 3.000000+1 3.75720+11 3.000000+1 6.61190+11 3.000000+1 1.48990+12 3.000000+1 4.26460+12 3.000000+1 2.06510+13 3.000000+1 1.00000+14 3.000000+1 5.62340+14 3.000000+1 7.49890+15 3.000000+1 1.00000+17 3.000000+1 1 30000 7 0 6.537000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.019609-6 0.0 4.690089-6 0.0 4.710292-6 3.026724+0 4.713178-6 3.454701+0 4.724722-6 6.310294+0 4.736266-6 1.064002+1 4.744510-6 1.486568+1 4.747810-6 1.754883+1 4.769326-6 3.807677+1 4.784213-6 5.533568+1 4.811302-6 8.847922+1 4.828618-6 1.051812+2 4.842988-6 1.117078+2 4.853575-6 1.117634+2 4.865621-6 1.056667+2 4.876869-6 9.480687+1 4.892854-6 7.316869+1 4.914477-6 4.170290+1 4.920971-6 3.269361+1 4.931358-6 2.196436+1 4.943036-6 1.308918+1 4.954714-6 7.200468+0 4.972231-6 1.830388+0 4.978070-6 0.0 5.956323-6 0.0 5.970983-6 1.06464-14 5.985644-6 2.10663-14 6.000305-6 3.84794-14 6.014966-6 6.48816-14 6.029626-6 1.00988-13 6.044287-6 1.45100-13 6.058948-6 1.92452-13 6.073609-6 2.35631-13 6.088269-6 2.66314-13 6.102930-6 2.77850-13 6.117591-6 2.67597-13 6.132251-6 2.37906-13 6.146912-6 1.95246-13 6.176234-6 1.03443-13 6.190894-6 6.67793-14 6.205555-6 3.97957-14 6.220216-6 2.18919-14 6.234877-6 1.11170-14 6.249537-6 0.0 6.834029-6 0.0 6.848249-6 6.642728-2 6.867671-6 3.584272-1 6.882278-6 6.220449-1 6.890063-6 8.367175-1 6.899657-6 1.122947+0 6.916712-6 1.840324+0 6.938550-6 3.083812+0 6.973529-6 5.299629+0 6.986717-6 5.987724+0 7.003784-6 6.501700+0 7.020112-6 6.535782+0 7.038905-6 5.981812+0 7.054806-6 5.162043+0 7.086345-6 3.125638+0 7.103167-6 2.134600+0 7.117947-6 1.426107+0 7.134803-6 8.378231-1 7.151659-6 4.547669-1 7.170451-6 1.634145-1 7.185371-6 9.682145-5 7.198082-6 7.332666-5 7.215168-6 4.731267-5 7.232254-6 2.818142-5 7.249341-6 1.549591-5 7.266427-6 7.827627-6 7.283073-6 1.224523-7 7.283513-6 0.0 7.542208-6 0.0 7.547937-6 5.822867-3 7.579336-6 1.111656-1 7.585698-6 1.374579-1 7.597901-6 2.050804-1 7.604369-6 2.478893-1 7.621226-6 3.939622-1 7.641711-6 6.338554-1 7.690722-6 1.336848+0 7.709286-6 1.534448+0 7.721064-6 1.597314+0 7.737401-6 1.622536+0 7.753739-6 1.551864+0 7.775798-6 1.313925+0 7.826611-6 5.908284-1 7.845227-6 3.791882-1 7.857799-6 2.712317-1 7.864778-6 2.204739-1 7.876364-6 1.696392-1 7.882668-6 1.467552-1 7.903495-6 1.023536-1 7.913492-6 8.839662-2 7.919503-6 8.639779-2 7.922853-6 9.454023-2 7.942211-6 1.585196-1 7.961569-6 2.454594-1 8.016708-6 5.507763-1 8.039002-6 6.392382-1 8.058360-6 6.769916-1 8.077718-6 6.644851-1 8.097076-6 6.148787-1 8.136491-6 4.756575-1 8.156518-6 4.305885-1 8.176544-6 4.083134-1 8.202135-6 4.115929-1 8.235588-6 4.346947-1 8.267947-6 4.409681-1 8.318607-6 4.323571-1 8.462236-6 3.891915-1 8.500340-6 3.825461-1 8.561944-6 3.708068-1 8.644962-6 3.598424-1 8.811478-6 3.188153-1 9.332543-6 2.401119-1 9.775889-6 1.878007-1 1.023662-5 1.450954-1 1.069858-5 1.115042-1 1.116798-5 8.472064-2 1.165242-5 6.323028-2 1.213792-5 4.654005-2 1.237852-5 3.973153-2 1.243945-5 8.269280-1 1.246992-5 1.478133+0 1.250230-5 2.550205+0 1.253310-5 3.939573+0 1.261034-5 8.187847+0 1.263202-5 9.205418+0 1.266328-5 1.015353+1 1.268657-5 1.038455+1 1.272463-5 9.703062+0 1.275775-5 8.536753+0 1.280942-5 6.211964+0 1.284255-5 5.137517+0 1.287197-5 4.695921+0 1.290230-5 4.777915+0 1.294067-5 5.459659+0 1.296892-5 6.069832+0 1.299585-5 6.535894+0 1.302850-5 6.982761+0 1.306175-5 6.830935+0 1.309501-5 6.136361+0 1.313706-5 4.749696+0 1.318530-5 2.991019+0 1.321629-5 2.022900+0 1.324758-5 1.268530+0 1.327888-5 7.422303-1 1.330432-5 4.647817-1 1.333575-5 1.529080-1 1.334148-5 1.010860-1 1.339862-5 1.910634-2 1.379100-5 1.389985-2 1.412550-5 1.035194-2 1.446896-5 7.442292-3 1.448224-5 7.341737-3 1.455353-5 1.638296-1 1.458918-5 2.933600-1 1.462482-5 4.898884-1 1.466414-5 7.934342-1 1.477186-5 1.790039+0 1.480305-5 1.990009+0 1.484316-5 2.068506+0 1.487884-5 1.995994+0 1.491946-5 1.780125+0 1.498353-5 1.322036+0 1.501693-5 1.144507+0 1.505258-5 1.056118+0 1.509336-5 1.086726+0 1.515952-5 1.286574+0 1.522520-5 1.426118+0 1.526831-5 1.394975+0 1.532787-5 1.214494+0 1.537244-5 1.049900+0 1.540928-5 9.489889-1 1.544612-5 8.942460-1 1.554231-5 8.662137-1 1.555684-5 8.645699-1 1.568946-5 7.022969-1 1.572761-5 6.916869-1 1.576298-5 7.189947-1 1.580991-5 8.140367-1 1.589205-5 1.017334+0 1.592646-5 1.069397+0 1.596697-5 1.103700+0 1.601583-5 1.085438+0 1.615244-5 9.234323-1 1.627526-5 8.981262-1 1.666666-5 9.140112-1 1.707542-5 9.078223-1 1.950000-5 1.020030+0 2.162719-5 1.176915+0 2.398010-5 1.422366+0 2.691535-5 1.811343+0 3.235864-5 2.726676+0 4.073803-5 4.436160+0 5.128614-5 6.644671+0 6.025596-5 8.191892+0 7.212776-5 9.640311+0 8.658992-5 1.084621+1 8.816052-5 1.171772+1 8.999040-5 1.171406+1 9.163201-5 1.211970+1 1.311570-4 1.249284+1 1.338016-4 1.331483+1 1.372578-4 1.296594+1 1.825501-4 1.237137+1 3.374781-4 8.436676+0 4.135244-4 6.941221+0 4.988049-4 5.686465+0 6.008278-4 4.593136+0 7.146353-4 3.720999+0 8.475561-4 2.993831+0 9.970208-4 2.415133+0 1.006018-3 2.447515+0 1.010574-3 2.590240+0 1.014002-3 2.846015+0 1.017244-3 3.264912+0 1.020479-3 3.896779+0 1.023905-3 4.792162+0 1.037566-3 9.224140+0 1.048576-3 1.211036+1 1.058786-3 1.419696+1 1.068248-3 1.529199+1 1.080117-3 1.567405+1 1.163766-3 1.437214+1 1.193055-3 1.546725+1 1.397896-3 1.246799+1 1.602769-3 1.026678+1 1.868407-3 8.167764+0 2.137962-3 6.644867+0 2.465540-3 5.299401+0 2.840652-3 4.215758+0 3.259863-3 3.358723+0 3.711131-3 2.701896+0 4.205596-3 2.184620+0 4.766498-3 1.761163+0 5.367834-3 1.431935+0 6.022880-3 1.169083+0 6.817448-3 9.380776-1 7.582365-3 7.756033-1 8.575532-3 6.213895-1 9.381897-3 5.317289-1 9.423089-3 5.509816-1 9.457262-3 6.010970-1 9.480125-3 6.711793-1 9.499846-3 7.664348-1 9.522534-3 9.259918-1 9.545621-3 1.150251+0 9.571239-3 1.472714+0 9.654978-3 2.746150+0 9.700185-3 3.268589+0 9.744536-3 3.552808+0 9.809160-3 3.680610+0 1.174898-2 2.803685+0 1.343390-2 2.244614+0 1.511511-2 1.843428+0 1.708461-2 1.491583+0 1.946252-2 1.188552+0 2.146837-2 9.968284-1 2.355445-2 8.440447-1 2.616994-2 6.954915-1 2.907372-2 5.726353-1 3.257665-2 4.623552-1 3.554171-2 3.918635-1 3.928488-2 3.235332-1 4.316454-2 2.696521-1 4.777820-2 2.211770-1 5.276911-2 1.818676-1 5.877324-2 1.469207-1 6.480442-2 1.208610-1 7.181085-2 9.841231-2 8.048993-2 7.807155-2 8.971650-2 6.267694-2 9.887198-2 5.141882-2 1.093314-1 4.187456-2 1.197947-1 3.474811-2 1.338919-1 2.768713-2 1.471083-1 2.285188-2 1.613467-1 1.891729-2 1.778279-1 1.553664-2 1.956886-1 1.281530-2 2.156931-1 1.054486-2 2.366458-1 8.783337-3 2.590530-1 7.358832-3 2.855092-1 6.106699-3 3.127425-1 5.143297-3 3.429528-1 4.338107-3 3.773066-1 3.652904-3 4.123942-1 3.125466-3 4.578906-1 2.619412-3 5.070243-1 2.220476-3 5.672180-1 1.868625-3 6.456542-1 1.548468-3 7.307183-1 1.310962-3 8.450356-1 1.098270-3 9.779407-1 9.318701-4 1.173413+0 7.709471-4 1.410753+0 6.352771-4 1.696098+0 5.234821-4 2.039158+0 4.313606-4 2.451607+0 3.554505-4 2.947480+0 2.928989-4 3.543651+0 2.413551-4 4.260405+0 1.988818-4 5.122134+0 1.638829-4 6.158159+0 1.350431-4 7.403736+0 1.112784-4 8.901248+0 9.169584-5 9.760024+0 8.323748-5 1.000000+1 1.666673-4 1 30000 7 0 6.537000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-2.991705+1 3.019609-6-2.881921+1 3.804819-6-2.699879+1 4.160730-6-2.474519+1 4.353152-6-2.212793+1 4.461331-6-1.944796+1 4.534778-6-1.648198+1 4.577613-6-1.391520+1 4.614739-6-1.078817+1 4.639611-6-7.907647+0 4.656273-6-5.407052+0 4.660500-6-4.669947+0 4.667897-6-3.249558+0 4.673445-6-2.050943+0 4.677606-6-1.056683+0 4.680727-6-2.435137-1 4.685408-6 1.123923+0 4.687749-6 1.908315+0 4.688919-6 2.345774+0 4.691532-6 3.498638+0 4.710292-6 1.013035+1 4.724722-6 1.659142+1 4.736266-6 2.235894+1 4.744510-6 2.720163+1 4.750317-6 3.064228+1 4.756349-6 3.273473+1 4.771880-6 3.585307+1 4.781168-6 3.581568+1 4.789209-6 3.391786+1 4.798645-6 2.940457+1 4.805530-6 2.428073+1 4.814188-6 1.595591+1 4.817074-6 1.252523+1 4.824289-6 3.418622+0 4.826454-6 4.590032-1 4.827536-6-1.130085+0 4.828077-6-1.973929+0 4.829340-6-4.136386+0 4.837499-6-1.662909+1 4.840252-6-2.156339+1 4.844554-6-2.904071+1 4.845448-6-2.966728+1 4.851375-6-1.938043+1 4.853575-6-1.503752+1 4.861663-6-1.565030+0 4.862457-6-1.681571-1 4.862853-6 5.683040-1 4.863611-6 2.133684+0 4.864310-6 3.400717+0 4.865621-6 5.579373+0 4.867914-6 9.101303+0 4.874794-6 1.914519+1 4.876869-6 2.217212+1 4.882787-6 2.902334+1 4.890487-6 3.644126+1 4.898551-6 4.131661+1 4.906368-6 4.377660+1 4.914477-6 4.384298+1 4.920971-6 4.200328+1 4.931358-6 3.703042+1 4.943036-6 3.047238+1 4.958728-6 2.138966+1 4.975151-6 1.365167+1 4.978070-6 1.180817+1 4.980934-6 1.002481+1 4.986642-6 7.485459+0 4.990430-6 6.090188+0 4.994203-6 4.847609+0 4.997961-6 3.723668+0 5.001705-6 2.696493+0 5.005434-6 1.750646+0 5.012862-6 5.616778-2 5.020233-6-1.422126+0 5.027546-6-2.728530+0 5.034802-6-3.894593+0 5.049145-6-5.894290+0 5.070241-6-8.282423+0 5.090901-6-1.016373+1 5.130837-6-1.294669+1 5.181233-6-1.544539+1 5.251473-6-1.784600+1 5.373728-6-2.046604+1 5.560779-6-2.273277+1 5.956323-6-2.506979+1 6.767808-6-2.795103+1 6.869457-6-2.956495+1 6.902875-6-2.999902+1 6.952791-6-2.979146+1 6.969566-6-3.000696+1 7.022084-6-2.609972+1 7.062198-6-2.352055+1 7.098961-6-2.302045+1 7.232254-6-2.562811+1 7.675881-6-2.784689+1 7.804728-6-2.626084+1 8.016708-6-2.734934+1 8.318607-6-2.723316+1 1.160837-5-2.913517+1 1.218624-5-3.024731+1 1.236834-5-2.856586+1 1.253731-5-2.521883+1 1.259427-5-2.589967+1 1.265545-5-2.886039+1 1.268202-5-3.033987+1 1.275063-5-2.652499+1 1.280303-5-2.550090+1 1.289574-5-2.703866+1 1.296058-5-2.737645+1 1.302850-5-2.580313+1 1.312239-5-2.271700+1 1.318530-5-2.224265+1 1.343306-5-2.547896+1 1.385790-5-2.711024+1 1.455353-5-2.885562+1 1.474709-5-2.921865+1 1.497565-5-2.762607+1 1.521699-5-2.795898+1 1.547494-5-2.776137+1 1.596697-5-2.810827+1 3.758374-5-2.998781+1 5.432503-5-2.922296+1 8.536911-5-2.593510+1 8.786878-5-2.598029+1 8.999040-5-2.540081+1 1.000551-4-2.335578+1 1.255761-4-2.070822+1 1.330094-4-2.052520+1 1.352149-4-1.964394+1 1.690037-4-1.658493+1 2.091485-4-1.395520+1 2.490015-4-1.213656+1 2.963978-4-1.073137+1 3.630570-4-9.605001+0 4.399817-4-9.011653+0 5.329973-4-8.845659+0 6.366868-4-9.105284+0 7.542553-4-9.897633+0 8.475561-4-1.107608+1 9.128256-4-1.249574+1 9.571115-4-1.411489+1 9.853590-4-1.585795+1 1.000926-3-1.747568+1 1.014002-3-1.993593+1 1.026386-3-2.264919+1 1.035839-3-2.305228+1 1.050555-3-2.165621+1 1.080117-3-1.622747+1 1.095367-3-1.433633+1 1.115993-3-1.269261+1 1.144001-3-1.130746+1 1.163766-3-1.100138+1 1.176262-3-1.093362+1 1.188066-3-1.017341+1 1.203725-3-9.016476+0 1.230255-3-7.748053+0 1.269325-3-6.448143+0 1.317396-3-5.301416+0 1.375935-3-4.256520+0 1.447369-3-3.296727+0 1.517105-3-2.585992+0 1.602769-3-1.928088+0 1.686029-3-1.439326+0 1.732806-3-1.219702+0 1.801450-3-9.506438-1 1.868407-3-7.392225-1 1.910013-3-6.338606-1 1.958968-3-5.240352-1 2.010766-3-4.238889-1 2.068838-3-3.280183-1 2.137962-3-2.304942-1 2.188054-3-1.770878-1 2.229077-3-1.403133-1 2.287999-3-9.367233-2 2.340858-3-6.051012-2 2.361158-3-4.897370-2 2.406613-3-2.836470-2 2.425930-3-2.179543-2 2.460574-3-6.575916-3 2.465540-3-4.705004-3 2.501178-3 8.114423-3 2.520134-3 1.407761-2 2.559012-3 2.531419-2 2.607654-3 3.753952-2 2.697837-3 5.400678-2 2.762571-3 6.099071-2 2.840652-3 6.279865-2 2.907145-3 6.074317-2 2.955460-3 5.670355-2 3.081000-3 4.313875-2 3.108136-3 3.948642-2 3.176388-3 2.773532-2 3.285010-3 6.755744-3 3.311311-3 9.196769-4 3.325136-3-2.133440-3 3.373204-3-1.321333-2 3.439706-3-2.961562-2 3.546538-3-5.461232-2 3.632741-3-7.689767-2 4.205596-3-2.417024-1 6.553225-3-9.515223-1 7.337196-3-1.227476+0 7.999674-3-1.527928+0 8.441240-3-1.802630+0 8.788068-3-2.108436+0 9.037251-3-2.430881+0 9.218890-3-2.784122+0 9.351413-3-3.192599+0 9.434454-3-3.624961+0 9.581562-3-4.840935+0 9.629869-3-4.933307+0 9.678107-3-4.683907+0 9.809160-3-3.457420+0 9.873956-3-3.045015+0 9.963845-3-2.657848+0 1.009136-2-2.269388+0 1.026727-2-1.885316+0 1.047468-2-1.556879+0 1.072028-2-1.264333+0 1.102714-2-9.888926-1 1.133601-2-7.769745-1 1.162075-2-6.159648-1 1.189447-2-4.864720-1 1.217022-2-3.779428-1 1.247173-2-2.785289-1 1.278372-2-1.918879-1 1.308840-2-1.202912-1 1.343390-2-5.079102-2 1.378056-2 8.078386-3 1.411812-2 5.706961-2 1.441339-2 9.386429-2 1.472998-2 1.283936-1 1.511511-2 1.654670-1 1.552308-2 1.988998-1 1.593182-2 2.262197-1 1.669468-2 2.635329-1 1.754212-2 2.915549-1 1.895290-2 3.196435-1 2.046758-2 3.306065-1 2.297032-2 3.240635-1 2.708015-2 2.906346-1 3.690978-2 1.970843-1 4.316454-2 1.495162-1 4.936959-2 1.123853-1 5.532277-2 8.375795-2 6.063905-2 6.296121-2 6.602213-2 4.520314-2 7.041355-2 3.288502-2 7.556915-2 2.049810-2 7.855571-2 1.405705-2 8.222879-2 6.888139-3 8.447964-2 2.874258-3 8.620822-2-6.888154-5 8.639151-2-3.790439-4 8.858360-2-3.889275-3 9.251820-2-9.718287-3 9.650586-2-1.505654-2 1.040501-1-2.380271-2 1.123577-1-3.187375-2 1.234614-1-4.060474-2 1.382753-1-4.960587-2 1.613467-1-5.960932-2 1.956886-1-6.919097-2 2.517429-1-7.798242-2 3.429528-1-8.470621-2 5.495409-1-8.991632-2 1.286622+0-9.279446-2 3.885536+0-9.336504-2 1.000000+1-9.340337-2 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 7.550515-3 1.110590-6 1.220542-2 1.140310-6 1.383428-2 1.250186-6 2.167560-2 1.275543-6 2.400179-2 1.324673-6 2.918257-2 1.370732-6 3.497179-2 1.413912-6 4.140995-2 1.454394-6 4.855212-2 1.492345-6 5.642825-2 1.527924-6 6.504553-2 1.561280-6 7.441205-2 1.592551-6 8.459810-2 1.621868-6 9.564909-2 1.649352-6 1.076042-1 1.675118-6 1.205048-1 1.699275-6 1.343813-1 1.721921-6 1.492527-1 1.743152-6 1.651777-1 1.763056-6 1.822341-1 1.781716-6 2.004887-1 1.799210-6 2.200037-1 1.815610-6 2.408440-1 1.830985-6 2.630776-1 1.845400-6 2.867757-1 1.858913-6 3.120127-1 1.871582-6 3.388654-1 1.883459-6 3.674135-1 1.894594-6 3.977376-1 1.905033-6 4.299186-1 1.914819-6 4.640376-1 1.923994-6 5.001795-1 1.932596-6 5.384351-1 1.940659-6 5.789004-1 1.948219-6 6.216746-1 1.955306-6 6.668591-1 1.961951-6 7.145594-1 1.968180-6 7.648857-1 1.974020-6 8.179515-1 1.979494-6 8.738720-1 1.984627-6 9.327640-1 1.989439-6 9.947508-1 1.993950-6 1.059971+0 1.998179-6 1.128590+0 2.006109-6 1.282284+0 2.013047-6 1.453830+0 2.019118-6 1.646062+0 2.024430-6 1.861356+0 2.029079-6 2.100514+0 2.033146-6 2.362053+0 2.036705-6 2.642206+0 2.039818-6 2.935511+0 2.042543-6 3.235664+0 2.044927-6 3.536341+0 2.048839-6 4.117316+0 2.052033-6 4.682806+0 2.063568-6 7.523290+0 2.066690-6 8.519317+0 2.069228-6 9.395928+0 2.071765-6 1.032665+1 2.076839-6 1.231505+1 2.077473-6 1.257198+1 2.081914-6 1.438869+1 2.083658-6 1.509818+1 2.086988-6 1.641498+1 2.088732-6 1.707243+1 2.090397-6 1.767111+1 2.092062-6 1.823553+1 2.094282-6 1.892475+1 2.096423-6 1.950946+1 2.098405-6 1.997124+1 2.100070-6 2.029407+1 2.102528-6 2.065319+1 2.105502-6 2.088779+1 2.107751-6 2.091328+1 2.110848-6 2.073057+1 2.113346-6 2.040165+1 2.115707-6 1.994824+1 2.118148-6 1.934283+1 2.119379-6 1.898901+1 2.122975-6 1.779024+1 2.124937-6 1.704694+1 2.126591-6 1.638072+1 2.128773-6 1.545722+1 2.130472-6 1.471075+1 2.132658-6 1.372789+1 2.134878-6 1.271582+1 2.137197-6 1.165860+1 2.140269-6 1.028189+1 2.142489-6 9.318985+0 2.145502-6 8.073253+0 2.147881-6 7.150283+0 2.152955-6 5.390119+0 2.154908-6 4.794499+0 2.156469-6 4.351909+0 2.158030-6 3.939198+0 2.160250-6 3.403188+0 2.163104-6 2.799814+0 2.166119-6 2.262609+0 2.171386-6 1.550949+0 2.173283-6 1.359019+0 2.175004-6 1.211804+0 2.176509-6 1.102883+0 2.181779-6 8.552706-1 2.182438-6 8.378210-1 2.183503-6 8.155072-1 2.184328-6 8.030979-1 2.185226-6 7.943094-1 2.186152-6 7.902596-1 2.187174-6 7.915363-1 2.187955-6 7.964743-1 2.189004-6 8.083659-1 2.189861-6 8.224394-1 2.190504-6 8.355082-1 2.191468-6 8.590602-1 2.192432-6 8.872395-1 2.195123-6 9.893842-1 2.197142-6 1.087445+0 2.197815-6 1.123995+0 2.204165-6 1.554179+0 2.208918-6 1.959440+0 2.210652-6 2.120403+0 2.214301-6 2.473799+0 2.216864-6 2.728505+0 2.218105-6 2.852192+0 2.220020-6 3.041497+0 2.222081-6 3.241157+0 2.224234-6 3.442375+0 2.226076-6 3.606367+0 2.228410-6 3.800156+0 2.230450-6 3.954149+0 2.232974-6 4.121443+0 2.235422-6 4.256045+0 2.237056-6 4.329275+0 2.239530-6 4.413348+0 2.241926-6 4.462642+0 2.242943-6 4.473817+0 2.245433-6 4.476588+0 2.247903-6 4.445228+0 2.251983-6 4.322539+0 2.254546-6 4.203955+0 2.257029-6 4.062028+0 2.259763-6 3.879269+0 2.262413-6 3.680166+0 2.264768-6 3.488948+0 2.267039-6 3.295184+0 2.267796-6 3.229079+0 2.270487-6 2.990092+0 2.273179-6 2.748424+0 2.276207-6 2.478571+0 2.278562-6 2.273391+0 2.283945-6 1.831208+0 2.285796-6 1.690291+0 2.287562-6 1.561869+0 2.289328-6 1.439702+0 2.292020-6 1.266011+0 2.295368-6 1.071340+0 2.298643-6 9.036749-1 2.302552-6 7.317191-1 2.306441-6 5.887997-1 2.309022-6 5.079982-1 2.311593-6 4.375551-1 2.316704-6 3.235050-1 2.324296-6 2.049282-1 2.334282-6 1.117272-1 2.341669-6 7.106470-2 2.346545-6 5.250860-2 2.351384-6 3.868539-2 2.353789-6 3.315066-2 2.356185-6 2.837031-2 2.358572-6 2.424508-2 2.360949-6 2.069052-2 2.365675-6 1.501414-2 2.375018-6 7.902509-3 2.377331-6 6.766694-3 2.379635-6 5.822074-3 2.381929-6 5.041536-3 2.384215-6 4.400693-3 2.386492-6 3.877697-3 2.388760-6 3.453099-3 2.391020-6 3.109766-3 2.393270-6 2.832797-3 2.396628-6 2.514578-3 2.399964-6 2.283345-3 2.400518-6 2.251394-3 2.404381-6 2.068919-3 2.406579-6 1.991840-3 2.408769-6 1.931700-3 2.410950-6 1.887612-3 2.413122-6 1.859688-3 2.417451-6 1.856647-3 2.421745-6 1.936267-3 2.426006-6 2.116196-3 2.430233-6 2.413892-3 2.434427-6 2.843759-3 2.438589-6 3.415716-3 2.446847-6 5.009617-3 2.454977-6 7.187842-3 2.462979-6 9.907187-3 2.470856-6 1.311429-2 2.478610-6 1.676264-2 2.493876-6 2.532845-2 2.508665-6 3.532325-2 2.596563-6 1.159584-1 2.737891-6 3.344819-1 2.766545-6 3.955950-1 2.891536-6 8.195458-1 2.910431-6 9.147229-1 2.938775-6 1.080843+0 2.967118-6 1.281883+0 2.989028-6 1.468811+0 3.008800-6 1.667682+0 3.018240-6 1.774712+0 3.040150-6 2.059592+0 3.054756-6 2.283739+0 3.069363-6 2.541948+0 3.083969-6 2.841827+0 3.098575-6 3.193547+0 3.113182-6 3.610917+0 3.127498-6 4.101891+0 3.135158-6 4.406171+0 3.142819-6 4.745562+0 3.150479-6 5.126192+0 3.161058-6 5.734391+0 3.173460-6 6.605234+0 3.181120-6 7.256381+0 3.188780-6 8.023049+0 3.196440-6 8.941129+0 3.204100-6 1.006210+1 3.209221-6 1.095984+1 3.214342-6 1.200922+1 3.220711-6 1.358056+1 3.227081-6 1.552657+1 3.230911-6 1.691943+1 3.234741-6 1.851042+1 3.238571-6 2.032734+1 3.242402-6 2.239975+1 3.246232-6 2.475835+1 3.250062-6 2.743427+1 3.257722-6 3.385875+1 3.271258-6 4.922840+1 3.276329-6 5.640346+1 3.282830-6 6.669604+1 3.286856-6 7.362417+1 3.294906-6 8.846853+1 3.295912-6 9.039055+1 3.302957-6 1.040023+2 3.305724-6 1.093275+2 3.311007-6 1.192219+2 3.313775-6 1.241660+2 3.316416-6 1.286694+2 3.319058-6 1.329151+2 3.322580-6 1.380973+2 3.325976-6 1.424880+2 3.329121-6 1.459469+2 3.331763-6 1.483552+2 3.335662-6 1.510112+2 3.340379-6 1.526903+2 3.343948-6 1.527920+2 3.348861-6 1.512559+2 3.352393-6 1.489667+2 3.356178-6 1.454573+2 3.359982-6 1.409002+2 3.362706-6 1.370550+2 3.366488-6 1.309990+2 3.369814-6 1.250786+2 3.372263-6 1.204208+2 3.375412-6 1.141335+2 3.378839-6 1.070044+2 3.382595-6 9.898587+1 3.385475-6 9.278407+1 3.388116-6 8.711526+1 3.391513-6 7.993616+1 3.396187-6 7.042007+1 3.400066-6 6.298624+1 3.406199-6 5.235998+1 3.414975-6 4.005647+1 3.417819-6 3.687312+1 3.421265-6 3.355763+1 3.422767-6 3.229656+1 3.424481-6 3.099210+1 3.427696-6 2.892526+1 3.429892-6 2.778841+1 3.432192-6 2.682701+1 3.434499-6 2.608733+1 3.435881-6 2.574655+1 3.438620-6 2.528443+1 3.440564-6 2.511743+1 3.442955-6 2.507958+1 3.445390-6 2.521336+1 3.447814-6 2.549964+1 3.450665-6 2.600432+1 3.454330-6 2.686930+1 3.460248-6 2.861256+1 3.468414-6 3.126306+1 3.473292-6 3.273943+1 3.477955-6 3.394476+1 3.481496-6 3.467585+1 3.485648-6 3.529186+1 3.489641-6 3.561342+1 3.491356-6 3.566601+1 3.497176-6 3.545509+1 3.499560-6 3.519719+1 3.502966-6 3.466273+1 3.505156-6 3.422094+1 3.509075-6 3.325268+1 3.513237-6 3.200134+1 3.516713-6 3.080615+1 3.520064-6 2.954741+1 3.522276-6 2.867036+1 3.526106-6 2.708464+1 3.529936-6 2.544109+1 3.530981-6 2.498661+1 3.537381-6 2.219075+1 3.539340-6 2.134234+1 3.546654-6 1.827487+1 3.550860-6 1.661575+1 3.554874-6 1.512302+1 3.562463-6 1.257567+1 3.584681-6 7.232035+0 3.593251-6 5.887754+0 3.601842-6 4.828176+0 3.612165-6 3.837027+0 3.627614-6 2.740101+0 3.636204-6 2.267367+0 3.644795-6 1.868639+0 3.651204-6 1.613081+0 3.673983-6 9.500231-1 3.682352-6 7.864933-1 3.686801-6 7.134055-1 3.693476-6 6.189965-1 3.704600-6 4.938832-1 3.715883-6 3.957428-1 3.724624-6 3.324852-1 3.731298-6 2.893066-1 3.735748-6 2.624956-1 3.740197-6 2.371064-1 3.744647-6 2.130887-1 3.749097-6 1.904490-1 3.755771-6 1.591784-1 3.757996-6 1.495057-1 3.766895-6 1.148001-1 3.778020-6 8.079175-2 3.784694-6 6.540110-2 3.789144-6 5.714301-2 3.792481-6 5.195325-2 3.794588-6 4.910434-2 3.796562-6 4.672830-2 3.800447-6 4.285711-2 3.804212-6 4.010461-2 3.816579-6 3.802847-2 3.819839-6 3.941424-2 3.826057-6 4.475945-2 3.831985-6 5.386759-2 3.837542-6 6.697149-2 3.842752-6 8.439455-2 3.847637-6 1.064262-1 3.852216-6 1.332807-1 3.864306-6 2.434131-1 3.867843-6 2.896679-1 3.874269-6 3.949593-1 3.880098-6 5.190205-1 3.885198-6 6.544519-1 3.889661-6 7.969884-1 3.893566-6 9.425863-1 3.896983-6 1.087698+0 3.902589-6 1.365496+0 3.904878-6 1.494341+0 3.908967-6 1.748505+0 3.914142-6 2.117417+0 3.919634-6 2.570677+0 3.922861-6 2.868004+0 3.924840-6 3.062086+0 3.928885-6 3.486657+0 3.930778-6 3.698135+0 3.935603-6 4.274030+0 3.940429-6 4.900665+0 3.950081-6 6.288118+0 3.951287-6 6.472071+0 3.959732-6 7.803008+0 3.963050-6 8.337545+0 3.969383-6 9.353338+0 3.974058-6 1.008176+1 3.977030-6 1.052751+1 3.980932-6 1.108402+1 3.983440-6 1.142076+1 3.985948-6 1.173818+1 3.989045-6 1.210008+1 3.993110-6 1.251799+1 3.997847-6 1.291270+1 3.998940-6 1.298853+1 4.003465-6 1.323740+1 4.007671-6 1.337084+1 4.009970-6 1.340259+1 4.014764-6 1.337393+1 4.018998-6 1.324288+1 4.023268-6 1.301367+1 4.027516-6 1.269468+1 4.031362-6 1.233447+1 4.037299-6 1.166299+1 4.041228-6 1.115530+1 4.044485-6 1.070500+1 4.048058-6 1.018810+1 4.053027-6 9.444656+0 4.057933-6 8.702390+0 4.064581-6 7.719383+0 4.081629-6 5.579898+0 4.086085-6 5.152148+0 4.089818-6 4.841408+0 4.093593-6 4.571096+0 4.097549-6 4.333947+0 4.101337-6 4.148901+0 4.104245-6 4.032717+0 4.114418-6 3.775796+0 4.118277-6 3.726067+0 4.123491-6 3.686589+0 4.133407-6 3.656062+0 4.138369-6 3.642067+0 4.145064-6 3.605135+0 4.150184-6 3.554327+0 4.154636-6 3.490259+0 4.158165-6 3.425164+0 4.160144-6 3.382990+0 4.166923-6 3.208103+0 4.171521-6 3.064404+0 4.174212-6 2.972017+0 4.178627-6 2.809127+0 4.180429-6 2.739184+0 4.183584-6 2.612980+0 4.187724-6 2.441948+0 4.191717-6 2.273928+0 4.196957-6 2.053566+0 4.202091-6 1.843483+0 4.207166-6 1.646833+0 4.216768-6 1.321367+0 4.221425-6 1.191735+0 4.223694-6 1.136288+0 4.226564-6 1.073752+0 4.229108-6 1.025715+0 4.231185-6 9.917543-1 4.234300-6 9.498661-1 4.237416-6 9.189732-1 4.239535-6 9.042791-1 4.241304-6 8.959160-1 4.243579-6 8.903624-1 4.245857-6 8.906023-1 4.247254-6 8.935834-1 4.248645-6 8.986600-1 4.249894-6 9.049876-1 4.253782-6 9.351266-1 4.256744-6 9.682769-1 4.264708-6 1.096942+0 4.269598-6 1.200547+0 4.281062-6 1.494450+0 4.286723-6 1.653609+0 4.291227-6 1.780667+0 4.296084-6 1.913668+0 4.300282-6 2.022010+0 4.303554-6 2.100439+0 4.306993-6 2.175766+0 4.312192-6 2.273241+0 4.316158-6 2.332447+0 4.320497-6 2.380719+0 4.325213-6 2.412540+0 4.328980-6 2.422195+0 4.338652-6 2.384752+0 4.342724-6 2.344437+0 4.347515-6 2.281262+0 4.352827-6 2.194950+0 4.358618-6 2.087032+0 4.364810-6 1.963363+0 4.378793-6 1.696597+0 4.381065-6 1.659456+0 4.386083-6 1.587202+0 4.390047-6 1.541039+0 4.392260-6 1.519914+0 4.396777-6 1.487769+0 4.400279-6 1.473371+0 4.410153-6 1.482777+0 4.414530-6 1.509511+0 4.418557-6 1.545097+0 4.423628-6 1.603033+0 4.430883-6 1.705849+0 4.444418-6 1.927989+0 4.450887-6 2.031342+0 4.456102-6 2.106280+0 4.461038-6 2.166998+0 4.466113-6 2.216543+0 4.469247-6 2.239740+0 4.474554-6 2.265093+0 4.478379-6 2.272092+0 4.487949-6 2.248427+0 4.496785-6 2.179086+0 4.502447-6 2.115386+0 4.509050-6 2.027701+0 4.517108-6 1.910089+0 4.531391-6 1.707359+0 4.539007-6 1.618311+0 4.543912-6 1.571853+0 4.549517-6 1.530655+0 4.553997-6 1.507247+0 4.558953-6 1.491173+0 4.564091-6 1.484922+0 4.567355-6 1.486050+0 4.572394-6 1.494721+0 4.579004-6 1.516738+0 4.588065-6 1.560437+0 4.599805-6 1.625988+0 4.608534-6 1.671151+0 4.617547-6 1.707871+0 4.624462-6 1.726961+0 4.634468-6 1.739543+0 4.643301-6 1.736966+0 4.654369-6 1.719815+0 4.687828-6 1.638876+0 4.692831-6 1.629189+0 4.713547-6 1.603160+0 4.734268-6 1.593652+0 4.765433-6 1.583526+0 4.817018-6 1.553769+0 4.835351-6 1.551635+0 4.850684-6 1.557760+0 4.870041-6 1.576492+0 4.892721-6 1.611274+0 4.954250-6 1.726485+0 4.989338-6 1.779673+0 5.009501-6 1.799175+0 5.024862-6 1.804169+0 5.033939-6 1.801415+0 5.063278-6 1.753711+0 5.076550-6 1.710576+0 5.088089-6 1.663275+0 5.096559-6 1.624009+0 5.106814-6 1.573064+0 5.139030-6 1.411593+0 5.149924-6 1.363494+0 5.159487-6 1.325890+0 5.172849-6 1.281408+0 5.185674-6 1.247821+0 5.197698-6 1.224257+0 5.212047-6 1.205627+0 5.220743-6 1.199067+0 5.229445-6 1.195879+0 5.238733-6 1.196039+0 5.256718-6 1.206257+0 5.273692-6 1.227223+0 5.298805-6 1.277206+0 5.330741-6 1.371715+0 5.365174-6 1.510421+0 5.423738-6 1.828342+0 5.492236-6 2.330644+0 5.543950-6 2.819850+0 5.593544-6 3.396255+0 5.728536-6 5.643646+0 5.801660-6 7.431725+0 5.853153-6 9.031910+0 5.895793-6 1.062596+1 5.930468-6 1.214497+1 5.968152-6 1.407413+1 6.003481-6 1.620286+1 6.036603-6 1.854166+1 6.067654-6 2.110043+1 6.096764-6 2.388868+1 6.125271-6 2.706164+1 6.149640-6 3.019306+1 6.173626-6 3.372979+1 6.196113-6 3.753649+1 6.217195-6 4.162254+1 6.236959-6 4.599622+1 6.255487-6 5.066472+1 6.272858-6 5.563441+1 6.289143-6 6.091135+1 6.311865-6 6.949231+1 6.332142-6 7.865027+1 6.344721-6 8.522404+1 6.356515-6 9.214311+1 6.367571-6 9.941810+1 6.377937-6 1.070602+2 6.397372-6 1.240813+2 6.414378-6 1.427720+2 6.429258-6 1.630865+2 6.442278-6 1.848401+2 6.453670-6 2.077129+2 6.463639-6 2.312888+2 6.472361-6 2.551114+2 6.479993-6 2.787360+2 6.492515-6 3.238853+2 6.510410-6 4.043617+2 6.538946-6 5.784647+2 6.549499-6 6.584117+2 6.561560-6 7.601484+2 6.569601-6 8.338864+2 6.581662-6 9.526954+2 6.599753-6 1.146749+3 6.606789-6 1.226360+3 6.617844-6 1.354995+3 6.629905-6 1.499017+3 6.642971-6 1.658041+3 6.652424-6 1.774581+3 6.665491-6 1.937815+3 6.680159-6 2.125098+3 6.702600-6 2.425074+3 6.726481-6 2.768646+3 6.743915-6 3.032493+3 6.756628-6 3.225180+3 6.767039-6 3.377567+3 6.778405-6 3.531993+3 6.789439-6 3.663136+3 6.799996-6 3.764781+3 6.809507-6 3.831531+3 6.819118-6 3.871245+3 6.823388-6 3.879156+3 6.839662-6 3.850841+3 6.848213-6 3.798071+3 6.857589-6 3.710889+3 6.866552-6 3.600517+3 6.873979-6 3.490820+3 6.880253-6 3.386640+3 6.888320-6 3.239281+3 6.895490-6 3.097730+3 6.904710-6 2.904607+3 6.912905-6 2.725787+3 6.921100-6 2.543452+3 6.930319-6 2.337746+3 6.937490-6 2.179654+3 6.953880-6 1.833174+3 6.959514-6 1.720855+3 6.970269-6 1.518450+3 6.984611-6 1.275929+3 7.005208-6 9.856136+2 7.025231-6 7.666190+2 7.038449-6 6.524208+2 7.045020-6 6.035449+2 7.058109-6 5.198524+2 7.071096-6 4.523228+2 7.083982-6 3.978463+2 7.096767-6 3.537472+2 7.109452-6 3.178064+2 7.122039-6 2.882376+2 7.134526-6 2.636361+2 7.146917-6 2.429170+2 7.159210-6 2.252528+2 7.171407-6 2.100158+2 7.195612-6 1.849500+2 7.219438-6 1.652372+2 7.242891-6 1.493013+2 7.265979-6 1.361482+2 7.288705-6 1.251157+2 7.311077-6 1.157409+2 7.333098-6 1.076876+2 7.354776-6 1.007036+2 7.376115-6 9.459546+1 7.407770-6 8.669183+1 7.438476-6 8.010390+1 7.478538-6 7.277753+1 7.517349-6 6.677467+1 7.554947-6 6.178198+1 7.591369-6 5.757544+1 7.629569-6 5.371416+1 7.660836-6 5.090697+1 7.693950-6 4.822937+1 7.758108-6 4.374988+1 7.829788-6 3.960268+1 7.874645-6 3.737175+1 7.927509-6 3.504628+1 7.977070-6 3.312147+1 8.069995-6 3.002971+1 8.151306-6 2.775321+1 8.222452-6 2.602898+1 8.284705-6 2.469316+1 8.393648-6 2.266071+1 8.499141-6 2.097892+1 8.597916-6 1.960823+1 9.063906-6 1.466696+1 9.268817-6 1.277406+1 9.358108-6 1.187942+1 9.425075-6 1.111273+1 9.475301-6 1.043640+1 9.512971-6 9.844410+0 9.541223-6 9.347035+0 9.562412-6 8.949622+0 9.617040-6 7.941523+0 9.625979-6 7.802366+0 9.640692-6 7.608610+0 9.649067-6 7.523506+0 9.673365-6 7.417276+0 9.688150-6 7.483563+0 9.697058-6 7.581781+0 9.716820-6 7.979249+0 9.719788-6 8.062053+0 9.740562-6 8.823710+0 9.751172-6 9.339384+0 9.755413-6 9.569692+0 9.771099-6 1.053892+1 9.791110-6 1.202591+1 9.815524-6 1.414787+1 9.833294-6 1.582844+1 9.842179-6 1.668707+1 9.857727-6 1.818277+1 9.862910-6 1.867197+1 9.886603-6 2.077924+1 9.889565-6 2.102234+1 9.910296-6 2.255318+1 9.918441-6 2.306106+1 9.933989-6 2.386435+1 9.945096-6 2.429674+1 9.954166-6 2.455999+1 9.960968-6 2.470435+1 9.971172-6 2.483684+1 9.981376-6 2.487159+1 9.993222-6 2.479616+1 1.000540-5 2.459961+1 1.002179-5 2.416872+1 1.002736-5 2.398465+1 1.004920-5 2.311864+1 1.007294-5 2.199870+1 1.010028-5 2.061654+1 1.014956-5 1.825254+1 1.017400-5 1.724484+1 1.019844-5 1.636931+1 1.023477-5 1.529704+1 1.027176-5 1.443378+1 1.034508-5 1.313893+1 1.044249-5 1.177484+1 1.047380-5 1.139174+1 1.051810-5 1.094147+1 1.055114-5 1.071971+1 1.057692-5 1.064033+1 1.060270-5 1.065671+1 1.062675-5 1.076182+1 1.063823-5 1.084125+1 1.066407-5 1.108007+1 1.073160-5 1.191058+1 1.076511-5 1.228101+1 1.078832-5 1.246698+1 1.080134-5 1.253885+1 1.082087-5 1.259906+1 1.084040-5 1.260191+1 1.086050-5 1.254897+1 1.088628-5 1.241164+1 1.091030-5 1.223352+1 1.099274-5 1.155538+1 1.102773-5 1.134886+1 1.104873-5 1.126165+1 1.107477-5 1.118864+1 1.112671-5 1.112495+1 1.122422-5 1.106744+1 1.126552-5 1.101523+1 1.193171-5 9.901412+0 1.304334-5 8.429460+0 1.421585-5 7.163482+0 1.456440-5 6.820558+0 1.526775-5 6.146746+0 1.562643-5 5.818173+0 1.596825-5 5.509519+0 1.629517-5 5.213962+0 1.667487-5 4.868725+0 1.704112-5 4.535230+0 1.744995-5 4.145140+0 1.788671-5 3.713534+0 1.811000-5 3.487486+0 1.852000-5 3.057081+0 1.883649-5 2.706521+0 1.910144-5 2.396940+0 1.930676-5 2.143563+0 1.945624-5 1.950131+0 1.960653-5 1.747636+0 1.972489-5 1.582849+0 1.983350-5 1.427977+0 1.991367-5 1.311675+0 2.002617-5 1.146053+0 2.007950-5 1.066780+0 2.015712-5 9.508440-1 2.024986-5 8.122182-1 2.029811-5 7.405053-1 2.037175-5 6.323710-1 2.042202-5 5.600687-1 2.047823-5 4.814628-1 2.053093-5 4.107438-1 2.058033-5 3.479465-1 2.062665-5 2.930308-1 2.067007-5 2.458847-1 2.071078-5 2.063447-1 2.074894-5 1.742295-1 2.078472-5 1.493782-1 2.080149-5 1.397830-1 2.081774-5 1.319116-1 2.083348-5 1.257618-1 2.084873-5 1.213363-1 2.086350-5 1.186418-1 2.087781-5 1.176890-1 2.089167-5 1.184920-1 2.090510-5 1.210676-1 2.091811-5 1.254342-1 2.093071-5 1.316113-1 2.094292-5 1.396182-1 2.095475-5 1.494735-1 2.096048-5 1.550531-1 2.097167-5 1.675961-1 2.098248-5 1.819544-1 2.099426-5 2.003270-1 2.100440-5 2.186795-1 2.101431-5 2.390678-1 2.102390-5 2.613461-1 2.104221-5 3.115175-1 2.105938-5 3.690238-1 2.113165-5 7.617239-1 2.116505-5 1.058012+0 2.118459-5 1.277293+0 2.120169-5 1.502091+0 2.122975-5 1.948372+0 2.124121-5 2.162023+0 2.126126-5 2.585733+0 2.128757-5 3.250273+0 2.130448-5 3.750992+0 2.132140-5 4.315959+0 2.134436-5 5.196190+0 2.135912-5 5.837400+0 2.137388-5 6.542449+0 2.139684-5 7.775774+0 2.141529-5 8.896326+0 2.144298-5 1.081215+1 2.146416-5 1.248067+1 2.148095-5 1.393436+1 2.153132-5 1.902770+1 2.155239-5 2.149259+1 2.155899-5 2.230512+1 2.159363-5 2.688231+1 2.160848-5 2.899875+1 2.166127-5 3.719604+1 2.167828-5 4.002939+1 2.171594-5 4.654279+1 2.173417-5 4.977708+1 2.176022-5 5.443915+1 2.177697-5 5.743469+1 2.180400-5 6.221596+1 2.182087-5 6.513871+1 2.184499-5 6.919325+1 2.186727-5 7.277437+1 2.187934-5 7.463581+1 2.190452-5 7.831080+1 2.193463-5 8.229510+1 2.196740-5 8.606944+1 2.198943-5 8.825689+1 2.204282-5 9.237603+1 2.206499-5 9.360723+1 2.209923-5 9.499468+1 2.213095-5 9.577001+1 2.217655-5 9.613871+1 2.221823-5 9.582719+1 2.225842-5 9.503743+1 2.229661-5 9.389769+1 2.233380-5 9.244810+1 2.237886-5 9.024695+1 2.243388-5 8.687034+1 2.247577-5 8.376841+1 2.250259-5 8.153833+1 2.254926-5 7.722056+1 2.257260-5 7.486965+1 2.261195-5 7.065827+1 2.262796-5 6.886982+1 2.266825-5 6.422932+1 2.268168-5 6.265079+1 2.272196-5 5.787489+1 2.273539-5 5.628260+1 2.278910-5 5.001260+1 2.281203-5 4.742221+1 2.286605-5 4.163116+1 2.297409-5 3.178215+1 2.302811-5 2.782766+1 2.308628-5 2.426857+1 2.313906-5 2.160392+1 2.318523-5 1.965297+1 2.322564-5 1.819409+1 2.329634-5 1.609410+1 2.334938-5 1.481720+1 2.342892-5 1.325194+1 2.350847-5 1.198865+1 2.362420-5 1.050827+1 2.375472-5 9.164170+0 2.391351-5 7.805954+0 2.420283-5 5.668784+0 2.426484-5 5.228559+0 2.431855-5 4.853266+0 2.444863-5 4.012598+0 2.449374-5 3.766386+0 2.452381-5 3.622731+0 2.455388-5 3.498893+0 2.461402-5 3.322064+0 2.467416-5 3.255980+0 2.468919-5 3.258461+0 2.473430-5 3.313190+0 2.474742-5 3.342423+0 2.477039-5 3.407718+0 2.478761-5 3.468170+0 2.481345-5 3.576383+0 2.483929-5 3.704128+0 2.488093-5 3.945670+0 2.497618-5 4.607526+0 2.504517-5 5.113444+0 2.509883-5 5.483052+0 2.512672-5 5.659726+0 2.515334-5 5.816284+0 2.517996-5 5.960042+0 2.520567-5 6.086257+0 2.524424-5 6.252314+0 2.528280-5 6.391608+0 2.537545-5 6.632286+0 2.543742-5 6.735382+0 2.549657-5 6.801255+0 2.555573-5 6.839378+0 2.560957-5 6.849834+0 2.565298-5 6.840066+0 2.570783-5 6.802434+0 2.576268-5 6.735192+0 2.581497-5 6.644064+0 2.587893-5 6.501138+0 2.593539-5 6.353748+0 2.603196-5 6.083645+0 2.614956-5 5.787427+0 2.622922-5 5.639233+0 2.626576-5 5.588311+0 2.634517-5 5.512106+0 2.646871-5 5.460501+0 2.667512-5 5.411499+0 2.678961-5 5.357864+0 2.713696-5 5.131186+0 2.802691-5 4.571302+0 2.870000-5 4.242930+0 2.958087-5 3.870285+0 3.004307-5 3.712507+0 3.047510-5 3.626248+0 3.120000-5 3.499218+0 3.190000-5 3.362614+0 3.330000-5 3.103377+0 3.408003-5 2.990706+0 3.500000-5 2.902366+0 3.589219-5 2.872601+0 3.641246-5 2.885926+0 3.722721-5 2.951229+0 3.758374-5 2.998723+0 3.850000-5 3.180745+0 3.938175-5 3.427299+0 4.000000-5 3.652944+0 4.083476-5 4.020830+0 4.168694-5 4.471805+0 4.234138-5 4.874892+0 4.518829-5 7.178032+0 4.677351-5 8.843573+0 4.804144-5 1.034136+1 4.930936-5 1.199637+1 5.099936-5 1.438330+1 5.248075-5 1.663006+1 5.370318-5 1.858148+1 5.450000-5 1.988910+1 5.580000-5 2.208003+1 5.650000-5 2.328200+1 5.800000-5 2.590846+1 6.008614-5 2.963562+1 6.070000-5 3.074849+1 6.237348-5 3.380110+1 6.309573-5 3.512510+1 6.531306-5 3.922914+1 6.650000-5 4.143091+1 6.872310-5 4.561707+1 7.161434-5 5.109211+1 7.585776-5 5.922652+1 8.145265-5 7.008568+1 8.613000-5 7.934507+1 9.146396-5 8.985579+1 9.650109-5 9.951302+1 1.002518-4 1.062999+2 1.020352-4 1.103472+2 1.027634-4 1.133091+2 1.041689-4 1.207007+2 1.045563-4 1.222248+2 1.049510-4 1.233042+2 1.063588-4 1.253873+2 1.069315-4 1.267538+2 1.084643-4 1.318423+2 1.091924-4 1.337080+2 1.118092-4 1.388087+2 1.144500-4 1.444976+2 1.173535-4 1.500689+2 1.206118-4 1.557397+2 1.247200-4 1.624316+2 1.306600-4 1.717229+2 1.365000-4 1.803684+2 1.420965-4 1.878675+2 1.490002-4 1.982600+2 1.492562-4 1.992436+2 1.499910-4 2.029860+2 1.521547-4 2.182150+2 1.526159-4 2.202241+2 1.529835-4 2.210667+2 1.533592-4 2.212196+2 1.539585-4 2.202113+2 1.556271-4 2.147720+2 1.568236-4 2.131565+2 1.577848-4 2.136221+2 1.587405-4 2.150332+2 1.632564-4 2.244627+2 1.678952-4 2.324754+2 1.753296-4 2.436141+2 1.838132-4 2.550631+2 1.932586-4 2.668134+2 2.053525-4 2.797879+2 2.190680-4 2.924759+2 2.317395-4 3.024895+2 2.437109-4 3.108197+2 2.571588-4 3.191009+2 2.736293-4 3.278793+2 2.917427-4 3.358455+2 3.085851-4 3.417865+2 3.273651-4 3.471214+2 3.507519-4 3.520172+2 3.779212-4 3.558586+2 4.004055-4 3.578900+2 4.290422-4 3.589277+2 4.597270-4 3.589051+2 4.912576-4 3.578025+2 5.202954-4 3.559898+2 5.544846-4 3.531167+2 5.888437-4 3.493665+2 6.237348-4 3.447235+2 6.598460-4 3.390918+2 7.003320-4 3.317303+2 7.452684-4 3.215754+2 7.852356-4 3.114838+2 8.265433-4 2.998213+2 8.652354-4 2.874552+2 9.015712-4 2.741480+2 9.332643-4 2.608146+2 9.585866-4 2.486263+2 9.815785-4 2.360172+2 1.002896-3 2.226373+2 1.021132-3 2.095291+2 1.036026-3 1.972760+2 1.049861-3 1.842498+2 1.061684-3 1.714741+2 1.071691-3 1.589572+2 1.081019-3 1.452399+2 1.088230-3 1.327127+2 1.093817-3 1.216199+2 1.097450-3 1.138135+2 1.099985-3 1.081931+2 1.105230-3 9.664589+1 1.108993-3 8.912879+1 1.111352-3 8.510431+1 1.113576-3 8.199488+1 1.114812-3 8.061070+1 1.116146-3 7.942330+1 1.117415-3 7.861151+1 1.119108-3 7.804022+1 1.120754-3 7.806957+1 1.122505-3 7.874935+1 1.123993-3 7.985277+1 1.125401-3 8.133528+1 1.126548-3 8.284900+1 1.127908-3 8.498643+1 1.129603-3 8.814322+1 1.131171-3 9.152014+1 1.133439-3 9.710212+1 1.136129-3 1.046677+2 1.144130-3 1.318664+2 1.148406-3 1.486022+2 1.151530-3 1.615560+2 1.154425-3 1.739710+2 1.157325-3 1.866510+2 1.159950-3 1.981906+2 1.163587-3 2.139968+2 1.167002-3 2.283414+2 1.170000-3 2.403211+2 1.174295-3 2.562114+2 1.179688-3 2.738015+2 1.184056-3 2.861547+2 1.190628-3 3.019450+2 1.197665-3 3.159068+2 1.205730-3 3.291679+2 1.213407-3 3.397352+2 1.222767-3 3.504060+2 1.231251-3 3.582335+2 1.240318-3 3.649174+2 1.269567-3 3.817680+2 1.279153-3 3.900941+2 1.288178-3 4.005256+2 1.311796-3 4.325926+2 1.318105-3 4.403194+2 1.324586-3 4.474108+2 1.334058-3 4.562767+2 1.345733-3 4.652566+2 1.357826-3 4.730540+2 1.374083-3 4.820940+2 1.387981-3 4.888383+2 1.411014-3 4.985393+2 1.447836-3 5.110125+2 1.490566-3 5.220423+2 1.556832-3 5.346414+2 1.617315-3 5.427254+2 1.702219-3 5.496720+2 1.811455-3 5.532103+2 1.927525-3 5.531873+2 2.052048-3 5.493400+2 2.275015-3 5.381185+2 2.436378-3 5.275590+2 2.697966-3 5.089411+2 3.035201-3 4.829602+2 3.415368-3 4.539425+2 3.771563-3 4.279006+2 4.047950-3 4.088597+2 4.402456-3 3.851500+2 4.877017-3 3.556492+2 5.281533-3 3.321320+2 5.733733-3 3.077608+2 6.224893-3 2.833813+2 6.714552-3 2.608908+2 7.268672-3 2.375954+2 7.543129-3 2.267997+2 7.823096-3 2.161574+2 8.093288-3 2.062378+2 8.539881-3 1.904495+2 8.902901-3 1.779061+2 9.076844-3 1.718690+2 9.348903-3 1.621971+2 9.557588-3 1.542937+2 9.649450-3 1.505745+2 9.733024-3 1.469895+2 9.847251-3 1.416076+2 9.940909-3 1.364903+2 9.989469-3 1.334111+2 1.003140-2 1.304099+2 1.008075-2 1.263884+2 1.013924-2 1.210016+2 1.021500-2 1.140564+2 1.025287-2 1.113877+2 1.028111-2 1.100696+2 1.030897-2 1.094645+2 1.033777-2 1.096180+2 1.036490-2 1.104652+2 1.039109-2 1.118503+2 1.043667-2 1.152260+2 1.051817-2 1.222933+2 1.056637-2 1.260282+2 1.060000-2 1.282331+2 1.064915-2 1.308561+2 1.071249-2 1.333664+2 1.076468-2 1.349010+2 1.086577-2 1.369974+2 1.098584-2 1.385403+2 1.114002-2 1.396076+2 1.130693-2 1.400157+2 1.158771-2 1.396066+2 1.196587-2 1.378282+2 1.223635-2 1.360853+2 1.271671-2 1.324483+2 1.334643-2 1.270812+2 1.412511-2 1.202665+2 1.521399-2 1.110525+2 1.660414-2 1.004246+2 1.840772-2 8.849054+1 2.038100-2 7.760526+1 2.187762-2 7.060325+1 2.409271-2 6.170923+1 2.617436-2 5.467237+1 2.904003-2 4.664937+1 3.491122-2 3.486071+1 3.891326-2 2.921500+1 4.618645-2 2.183022+1 5.739026-2 1.506884+1 7.697168-2 9.020783+0 9.558230-2 6.135134+0 1.138223-1 4.467054+0 1.363952-1 3.191094+0 1.765768-1 1.958274+0 2.335402-1 1.145772+0 3.240014-1 6.070793-1 4.732364-1 2.886680-1 7.673615-1 1.108052-1 1.776032+0 2.079088-2 5.363532+0 2.282157-3 1.619761+1 2.502637-4 4.891600+1 2.744123-5 1.477239+2 3.008876-6 4.461192+2 3.299167-7 1.584893+3 2.614003-8 5.011872+3 2.614003-9 1.584893+4 2.61400-10 5.011872+4 2.61400-11 1.000000+5 6.56608-12 1 31000 7 7 6.972000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.508100-7 1.258900-6 1.506900-6 1.584900-6 2.388300-6 1.995300-6 3.785200-6 2.511900-6 5.999200-6 3.162300-6 9.508000-6 3.981100-6 1.506900-5 5.011900-6 2.388300-5 6.309600-6 3.785100-5 7.943300-6 5.999000-5 1.000000-5 9.507700-5 1.258900-5 1.506800-4 1.584900-5 2.387600-4 1.995300-5 3.782800-4 2.511900-5 5.993700-4 3.162300-5 9.497400-4 3.981100-5 1.505000-3 5.011900-5 2.384900-3 6.309600-5 3.779300-3 7.943300-5 5.983300-3 1.000000-4 9.470400-3 1.258900-4 1.499300-2 1.584900-4 2.369600-2 1.995300-4 3.742400-2 2.511900-4 5.896500-2 3.162300-4 9.260400-2 3.981100-4 1.446700-1 5.011900-4 2.238500-1 6.309600-4 3.418400-1 7.943300-4 5.125800-1 1.000000-3 7.506400-1 1.258900-3 1.067300+0 1.584900-3 1.467900+0 1.995300-3 1.951500+0 2.511900-3 2.519500+0 3.162300-3 3.182900+0 3.981100-3 3.968200+0 5.011900-3 4.898500+0 6.309600-3 5.972900+0 7.943300-3 7.170500+0 1.000000-2 8.470900+0 1.258900-2 9.800800+0 1.584900-2 1.106700+1 1.995300-2 1.217800+1 2.511900-2 1.312600+1 3.162300-2 1.392000+1 3.981100-2 1.445100+1 5.011900-2 1.472800+1 6.309600-2 1.476200+1 7.943300-2 1.458800+1 1.000000-1 1.422300+1 1.258900-1 1.369200+1 1.584900-1 1.302700+1 1.995300-1 1.226600+1 2.511900-1 1.144300+1 3.162300-1 1.058900+1 3.981100-1 9.731000+0 5.011900-1 8.885500+0 6.309600-1 8.063700+0 7.943300-1 7.272900+0 1.000000+0 6.525000+0 1.258900+0 5.816500+0 1.584900+0 5.152400+0 1.995300+0 4.535400+0 2.511900+0 3.967400+0 3.162300+0 3.449500+0 3.981100+0 2.981600+0 5.011900+0 2.562900+0 6.309600+0 2.191600+0 7.943300+0 1.865000+0 1.000000+1 1.580100+0 1.258900+1 1.333300+0 1.584900+1 1.121000+0 1.995300+1 9.393300-1 2.511900+1 7.847700-1 3.162300+1 6.538600-1 3.981100+1 5.434500-1 5.011900+1 4.506900-1 6.309600+1 3.730200-1 7.943300+1 3.081700-1 1.000000+2 2.541700-1 1.258900+2 2.093100-1 1.584900+2 1.721400-1 1.995300+2 1.413800-1 2.511900+2 1.159900-1 3.162300+2 9.504800-2 3.981100+2 7.781200-2 5.011900+2 6.364200-2 6.309600+2 5.200700-2 7.943300+2 4.246400-2 1.000000+3 3.464500-2 1.258900+3 2.824600-2 1.584900+3 2.301300-2 1.995300+3 1.873800-2 2.511900+3 1.524700-2 3.162300+3 1.240000-2 3.981100+3 1.007800-2 5.011900+3 8.187300-3 6.309600+3 6.647800-3 7.943300+3 5.395200-3 1.000000+4 4.376600-3 1.258900+4 3.548800-3 1.584900+4 2.876300-3 1.995300+4 2.330400-3 2.511900+4 1.887300-3 3.162300+4 1.527900-3 3.981100+4 1.236500-3 5.011900+4 1.000300-3 6.309600+4 8.090100-4 7.943300+4 6.540600-4 1.000000+5 5.286300-4 1 31000 7 7 6.972000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159549-4 3.981072-4 3.976755-4 5.011872-4 5.005055-4 6.309573-4 6.298825-4 7.943282-4 7.926371-4 1.000000-3 9.973461-4 1.258925-3 1.254774-3 1.584893-3 1.578419-3 1.995262-3 1.985178-3 2.511886-3 2.496224-3 3.162278-3 3.137880-3 3.981072-3 3.942946-3 5.011872-3 4.952162-3 6.309573-3 6.216139-3 7.943282-3 7.797222-3 1.000000-2 9.773100-3 1.258925-2 1.223782-2 1.584893-2 1.530779-2 1.995262-2 1.912332-2 2.511886-2 2.385291-2 3.162278-2 2.969760-2 3.981072-2 3.689598-2 5.011872-2 4.573106-2 6.309573-2 5.653069-2 7.943282-2 6.966786-2 1.000000-1 8.558214-2 1.258925-1 1.047830-1 1.584893-1 1.278462-1 1.995262-1 1.554769-1 2.511886-1 1.884338-1 3.162278-1 2.276138-1 3.981072-1 2.740176-1 5.011872-1 3.288445-1 6.309573-1 3.934970-1 7.943282-1 4.695854-1 1.000000+0 5.589779-1 1.258925+0 6.643235-1 1.584893+0 7.886716-1 1.995262+0 9.357639-1 2.511886+0 1.110238+0 3.162278+0 1.317860+0 3.981072+0 1.565642+0 5.011872+0 1.862225+0 6.309573+0 2.218210+0 7.943282+0 2.646520+0 1.000000+1 3.162880+0 1.258925+1 3.786642+0 1.584893+1 4.541548+0 1.995262+1 5.456418+0 2.511886+1 6.566938+0 3.162278+1 7.916633+0 3.981072+1 9.558819+0 5.011872+1 1.155938+1 6.309573+1 1.399871+1 7.943282+1 1.697622+1 1.000000+2 2.061344+1 1.258925+2 2.506057+1 1.584893+2 3.050245+1 1.995262+2 3.716529+1 2.511886+2 4.533030+1 3.162278+2 5.534292+1 3.981072+2 6.762828+1 5.011872+2 8.271052+1 6.309573+2 1.012402+2 7.943282+2 1.240159+2 1.000000+3 1.520237+2 1.258925+3 1.864910+2 1.584893+3 2.289180+2 1.995262+3 2.811797+2 2.511886+3 3.455627+2 3.162278+3 4.249389+2 3.981072+3 5.228211+2 5.011872+3 6.435789+2 6.309573+3 7.926353+2 7.943282+3 9.766612+2 1.000000+4 1.203929+3 1.258925+4 1.484738+3 1.584893+4 1.831808+3 1.995262+4 2.260833+3 2.511886+4 2.791392+3 3.162278+4 3.447713+3 3.981072+4 4.259667+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88242-10 1.995262-5 1.090737-9 2.511886-5 1.728670-9 3.162278-5 2.739739-9 3.981072-5 4.342148-9 5.011872-5 6.881695-9 6.309573-5 1.090632-8 7.943282-5 1.728018-8 1.000000-4 2.738174-8 1.258925-4 4.339312-8 1.584893-4 6.873603-8 1.995262-4 1.088874-7 2.511886-4 1.724241-7 3.162278-4 2.728919-7 3.981072-4 4.316332-7 5.011872-4 6.816930-7 6.309573-4 1.074820-6 7.943282-4 1.691159-6 1.000000-3 2.653922-6 1.258925-3 4.151489-6 1.584893-3 6.474387-6 1.995262-3 1.008417-5 2.511886-3 1.566279-5 3.162278-3 2.439717-5 3.981072-3 3.812602-5 5.011872-3 5.970992-5 6.309573-3 9.343479-5 7.943282-3 1.460599-4 1.000000-2 2.268996-4 1.258925-2 3.514367-4 1.584893-2 5.411426-4 1.995262-2 8.292988-4 2.511886-2 1.265955-3 3.162278-2 1.925176-3 3.981072-2 2.914738-3 5.011872-2 4.387666-3 6.309573-2 6.565043-3 7.943282-2 9.764961-3 1.000000-1 1.441786-2 1.258925-1 2.110956-2 1.584893-1 3.064315-2 1.995262-1 4.404932-2 2.511886-1 6.275485-2 3.162278-1 8.861401-2 3.981072-1 1.240896-1 5.011872-1 1.723428-1 6.309573-1 2.374603-1 7.943282-1 3.247429-1 1.000000+0 4.410221-1 1.258925+0 5.946019-1 1.584893+0 7.962216-1 1.995262+0 1.059498+0 2.511886+0 1.401648+0 3.162278+0 1.844418+0 3.981072+0 2.415430+0 5.011872+0 3.149648+0 6.309573+0 4.091363+0 7.943282+0 5.296762+0 1.000000+1 6.837120+0 1.258925+1 8.802612+0 1.584893+1 1.130738+1 1.995262+1 1.449620+1 2.511886+1 1.855193+1 3.162278+1 2.370614+1 3.981072+1 3.025190+1 5.011872+1 3.855935+1 6.309573+1 4.909702+1 7.943282+1 6.245661+1 1.000000+2 7.938656+1 1.258925+2 1.008320+2 1.584893+2 1.279869+2 1.995262+2 1.623609+2 2.511886+2 2.058583+2 3.162278+2 2.608848+2 3.981072+2 3.304789+2 5.011872+2 4.184767+2 6.309573+2 5.297171+2 7.943282+2 6.703123+2 1.000000+3 8.479763+2 1.258925+3 1.072434+3 1.584893+3 1.355975+3 1.995262+3 1.714083+3 2.511886+3 2.166324+3 3.162278+3 2.737339+3 3.981072+3 3.458251+3 5.011872+3 4.368293+3 6.309573+3 5.516938+3 7.943282+3 6.966621+3 1.000000+4 8.796071+3 1.258925+4 1.110452+4 1.584893+4 1.401712+4 1.995262+4 1.769179+4 2.511886+4 2.232747+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.880000-6 1.327467+7 5.000000-6 1.263023+7 5.000000-6 1.924209+7 5.308844-6 1.705897+7 5.432503-6 1.627628+7 5.888437-6 1.375761+7 6.025596-6 1.310351+7 6.531306-6 1.100432+7 6.700000-6 1.040650+7 7.079458-6 9.199455+6 7.328245-6 8.507323+6 7.852356-6 7.251694+6 8.035261-6 6.871298+6 8.609938-6 5.825781+6 8.810489-6 5.509946+6 9.440609-6 4.644845+6 9.549926-6 4.512925+6 1.023293-5 3.783078+6 1.035142-5 3.672165+6 1.109175-5 3.060463+6 1.122018-5 2.967881+6 1.169000-5 2.653683+6 1.169000-5 3.886251+6 1.188502-5 3.632642+6 1.202264-5 3.465485+6 1.216186-5 3.307030+6 1.252000-5 2.936316+6 1.280000-5 2.684808+6 1.288250-5 2.615804+6 1.310000-5 2.445505+6 1.318257-5 2.384423+6 1.335000-5 2.266235+6 1.360000-5 2.103840+6 1.385000-5 1.957063+6 1.396368-5 1.894772+6 1.410000-5 1.823704+6 1.428894-5 1.730786+6 1.435000-5 1.702017+6 1.455000-5 1.611884+6 1.479108-5 1.511992+6 1.500000-5 1.432448+6 1.522000-5 1.354486+6 1.531087-5 1.323993+6 1.540000-5 1.294786+6 1.555000-5 1.247582+6 1.570000-5 1.202860+6 1.585000-5 1.160468+6 1.600000-5 1.120266+6 1.610000-5 1.094579+6 1.615000-5 1.082012+6 1.630000-5 1.045488+6 1.645000-5 1.010807+6 1.659587-5 9.787415+5 1.660000-5 9.778466+5 1.675000-5 9.460578+5 1.685000-5 9.257438+5 1.698244-5 8.998688+5 1.710000-5 8.778393+5 1.720000-5 8.597645+5 1.732100-5 8.386755+5 1.737801-5 8.290214+5 1.740000-5 8.253153+5 1.750000-5 8.087758+5 1.760000-5 7.927654+5 1.774000-5 7.712029+5 1.778279-5 7.647993+5 1.811000-5 7.179319+5 1.819701-5 7.062671+5 1.826000-5 6.980200+5 1.832000-5 6.903148+5 1.837000-5 6.840035+5 1.842000-5 6.777900+5 1.847000-5 6.716725+5 1.852000-5 6.656495+5 1.857000-5 6.597191+5 1.862000-5 6.538797+5 1.866000-5 6.492727+5 1.870000-5 6.447220+5 1.873000-5 6.413455+5 1.877000-5 6.368917+5 1.881000-5 6.324920+5 1.883649-5 6.296092+5 1.885000-5 6.281297+5 1.890000-5 6.227122+5 1.896000-5 6.163194+5 1.902000-5 6.100424+5 1.905461-5 6.064746+5 1.907000-5 6.048708+5 1.912000-5 5.997164+5 1.920000-5 5.916304+5 1.931000-5 5.808269+5 1.965000-5 5.496022+5 1.980000-5 5.367985+5 1.995262-5 5.243386+5 2.010000-5 5.128225+5 2.025000-5 5.015967+5 2.040000-5 4.908459+5 2.041738-5 4.896256+5 2.055000-5 4.804459+5 2.070000-5 4.704686+5 2.085000-5 4.607306+5 2.100000-5 4.513977+5 2.115000-5 4.424506+5 2.130000-5 4.338708+5 2.150000-5 4.229727+5 2.170600-5 4.123577+5 2.190000-5 4.028916+5 2.213095-5 3.922510+5 2.238721-5 3.810630+5 2.240000-5 3.805204+5 2.270000-5 3.681734+5 2.300000-5 3.567658+5 2.330000-5 3.462147+5 2.360000-5 3.364464+5 2.398833-5 3.248550+5 2.400000-5 3.245186+5 2.435000-5 3.149126+5 2.454709-5 3.098098+5 2.473400-5 3.051944+5 2.520000-5 2.944548+5 2.570396-5 2.841065+5 2.613100-5 2.762396+5 2.660725-5 2.682821+5 2.670000-5 2.668583+5 2.687000-5 2.641944+5 2.687000-5 1.853234+6 2.730000-5 1.802081+6 2.737000-5 1.793953+6 2.737000-5 2.709214+6 2.740000-5 2.705837+6 2.754229-5 2.692695+6 2.800000-5 2.651908+6 2.860000-5 2.611774+6 2.870000-5 2.607188+6 2.920000-5 2.584606+6 2.951209-5 2.576414+6 2.980000-5 2.568904+6 3.019952-5 2.565446+6 3.040000-5 2.563854+6 3.100000-5 2.568124+6 3.120000-5 2.572703+6 3.126079-5 2.574713+6 3.170000-5 2.589015+6 3.190000-5 2.598497+6 3.235937-5 2.625118+6 3.260000-5 2.642229+6 3.311311-5 2.683743+6 3.330000-5 2.701535+6 3.349654-5 2.721945+6 3.350000-5 2.722305+6 3.400000-5 2.774381+6 3.467369-5 2.859533+6 3.471900-5 2.865289+6 3.500000-5 2.903243+6 3.548134-5 2.974747+6 3.570000-5 3.007626+6 3.589219-5 3.038184+6 3.610000-5 3.071479+6 3.690000-5 3.209960+6 3.758374-5 3.336398+6 3.801894-5 3.422282+6 3.845918-5 3.510721+6 3.850000-5 3.519000+6 3.935501-5 3.699791+6 4.000000-5 3.839833+6 4.073803-5 4.004410+6 4.120975-5 4.112013+6 4.168694-5 4.222521+6 4.300000-5 4.536616+6 4.315191-5 4.573901+6 4.350000-5 4.657120+6 4.365158-5 4.693667+6 4.500000-5 5.019336+6 4.518559-5 5.065218+6 4.570882-5 5.190524+6 4.677351-5 5.444121+6 4.731513-5 5.569887+6 4.850000-5 5.841436+6 4.900000-5 5.951991+6 5.011872-5 6.193811+6 5.080000-5 6.334231+6 5.188000-5 6.550066+6 5.248075-5 6.663065+6 5.308844-5 6.772417+6 5.370318-5 6.883463+6 5.450000-5 7.016459+6 5.559043-5 7.188905+6 5.580000-5 7.222175+6 5.650000-5 7.322804+6 5.754399-5 7.463551+6 5.800000-5 7.525140+6 5.850000-5 7.585590+6 5.956621-5 7.704993+6 6.025596-5 7.782182+6 6.070000-5 7.826306+6 6.165950-5 7.913029+6 6.237348-5 7.977385+6 6.309573-5 8.033700+6 6.400000-5 8.096213+6 6.456542-5 8.135144+6 6.531306-5 8.186261+6 6.606934-5 8.228914+6 6.650000-5 8.249933+6 6.683439-5 8.266207+6 6.839116-5 8.341426+6 6.918310-5 8.371747+6 7.000000-5 8.397391+6 7.161434-5 8.447524+6 7.244360-5 8.466105+6 7.328245-5 8.484759+6 7.413102-5 8.498374+6 7.500000-5 8.512209+6 7.585776-5 8.525636+6 7.650000-5 8.531055+6 7.762471-5 8.540477+6 8.000000-5 8.547865+6 8.035261-5 8.548955+6 8.128305-5 8.545458+6 8.300000-5 8.538996+6 8.609938-5 8.515266+6 8.810489-5 8.487879+6 8.912509-5 8.470368+6 9.120108-5 8.435344+6 9.332543-5 8.388097+6 9.660509-5 8.304607+6 9.885531-5 8.236439+6 9.900000-5 8.232122+6 1.023293-4 8.121463+6 1.047129-4 8.030648+6 1.059254-4 7.980834+6 1.072800-4 7.926213+6 1.072800-4 8.282912+6 1.083927-4 8.233680+6 1.086000-4 8.223434+6 1.100000-4 8.153600+6 1.109175-4 8.108669+6 1.110100-4 8.103824+6 1.110100-4 8.266706+6 1.122018-4 8.202821+6 1.135011-4 8.133606+6 1.137000-4 8.122155+6 1.140000-4 8.105205+6 1.152000-4 8.037874+6 1.170000-4 7.940964+6 1.172800-4 7.925215+6 1.174898-4 7.913688+6 1.183000-4 7.869526+6 1.190000-4 7.832110+6 1.202264-4 7.768587+6 1.205000-4 7.753295+6 1.216186-4 7.692943+6 1.225000-4 7.646117+6 1.230269-4 7.619134+6 1.245000-4 7.540780+6 1.247200-4 7.529321+6 1.260000-4 7.464388+6 1.273503-4 7.397759+6 1.280000-4 7.364004+6 1.303167-4 7.247390+6 1.303300-4 7.246733+6 1.306100-4 7.232276+6 1.306600-4 7.229729+6 1.333521-4 7.096632+6 1.348963-4 7.023352+6 1.350000-4 7.018497+6 1.365000-4 6.945035+6 1.380384-4 6.871966+6 1.400000-4 6.777823+6 1.412538-4 6.719517+6 1.445440-4 6.572908+6 1.450000-4 6.552026+6 1.462177-4 6.497239+6 1.500000-4 6.328303+6 1.531087-4 6.197422+6 1.548817-4 6.125786+6 1.566751-4 6.051402+6 1.577500-4 6.006014+6 1.577500-4 6.265958+6 1.609000-4 6.135140+6 1.621810-4 6.083870+6 1.640590-4 6.010366+6 1.659587-4 5.937504+6 1.678804-4 5.862463+6 1.698244-4 5.786523+6 1.760000-4 5.556641+6 1.778279-4 5.491569+6 1.820000-4 5.338583+6 1.862087-4 5.191203+6 1.883649-4 5.119146+6 1.900000-4 5.062692+6 1.950000-4 4.893464+6 1.972423-4 4.820124+6 2.018366-4 4.676795+6 2.041738-4 4.602319+6 2.089296-4 4.456222+6 2.137962-4 4.314638+6 2.150000-4 4.280609+6 2.162719-4 4.244006+6 2.190000-4 4.165914+6 2.213095-4 4.101333+6 2.238721-4 4.031900+6 2.300000-4 3.873033+6 2.317395-4 3.829874+6 2.350000-4 3.747692+6 2.371374-4 3.694861+6 2.400000-4 3.626238+6 2.426610-4 3.564222+6 2.483133-4 3.438812+6 2.511886-4 3.377321+6 2.600160-4 3.192369+6 2.620000-4 3.153313+6 2.630268-4 3.133188+6 2.650000-4 3.094935+6 2.660725-4 3.074427+6 2.691535-4 3.016840+6 2.730000-4 2.946499+6 2.754229-4 2.902737+6 2.818383-4 2.790265+6 2.851018-4 2.735920+6 2.917427-4 2.630479+6 3.054921-4 2.422950+6 3.090295-4 2.373873+6 3.100000-4 2.360704+6 3.126079-4 2.325374+6 3.162278-4 2.277145+6 3.235937-4 2.182261+6 3.311311-4 2.091855+6 3.349654-4 2.047444+6 3.388442-4 2.004086+6 3.548134-4 1.836337+6 3.672823-4 1.719024+6 3.700000-4 1.695085+6 3.715352-4 1.681678+6 3.801894-4 1.607917+6 4.027170-4 1.436009+6 4.073803-4 1.403833+6 4.100000-4 1.385961+6 4.120975-4 1.371702+6 4.365158-4 1.221149+6 4.415704-4 1.193143+6 4.466836-4 1.165276+6 4.518559-4 1.137790+6 4.570882-4 1.110938+6 4.731513-4 1.034482+6 4.786301-4 1.010174+6 4.850000-4 9.827625+5 5.011872-4 9.170227+5 5.069907-4 8.951293+5 5.128614-4 8.738109+5 5.150000-4 8.662233+5 5.188000-4 8.529165+5 5.308844-4 8.122017+5 5.370318-4 7.924524+5 5.559043-4 7.359492+5 5.623413-4 7.180068+5 5.754399-4 6.831387+5 5.821032-4 6.663404+5 5.888437-4 6.499856+5 6.025596-4 6.180888+5 6.095369-4 6.027025+5 6.165950-4 5.877314+5 6.456542-4 5.311769+5 6.500000-4 5.234032+5 6.606934-4 5.048000+5 6.683439-4 4.920339+5 6.760830-4 4.796164+5 6.839116-4 4.674001+5 7.079458-4 4.327121+5 7.244360-4 4.110469+5 7.328245-4 4.005251+5 7.413102-4 3.902930+5 7.800000-4 3.477236+5 7.943282-4 3.336731+5 8.000000-4 3.283167+5 8.035261-4 3.250311+5 8.128305-4 3.165944+5 8.222426-4 3.083051+5 8.317638-4 3.002474+5 8.413951-4 2.924144+5 8.511380-4 2.847742+5 8.810489-4 2.630305+5 8.912509-4 2.561421+5 9.015711-4 2.494104+5 9.225714-4 2.363564+5 9.440609-4 2.240268+5 9.660509-4 2.123413+5 9.772372-4 2.067116+5 9.885531-4 2.012199+5 1.000000-3 1.958246+5 1.023293-3 1.854375+5 1.059254-3 1.709373+5 1.071519-3 1.663614+5 1.096478-3 1.575441+5 1.122000-3 1.491349+5 1.122000-3 3.091185+5 1.122018-3 3.092600+5 1.122250-3 3.155272+5 1.122500-3 3.264240+5 1.122800-3 3.393758+5 1.123100-3 3.522104+5 1.123400-3 3.649595+5 1.123800-3 3.815618+5 1.124200-3 3.979107+5 1.124600-3 4.137885+5 1.125000-3 4.292129+5 1.125500-3 4.478662+5 1.126000-3 4.657423+5 1.126500-3 4.827346+5 1.126900-3 4.957013+5 1.127100-3 4.959835+5 1.128100-3 5.193300+5 1.128300-3 5.232867+5 1.130000-3 5.489372+5 1.131500-3 5.689248+5 1.133400-3 5.868050+5 1.135011-3 5.974902+5 1.136000-3 6.041829+5 1.139000-3 6.216045+5 1.142300-3 6.351528+5 1.143000-3 6.367557+5 1.146000-3 6.492040+5 1.150400-3 6.559263+5 1.150400-3 7.319793+5 1.150510-3 7.338258+5 1.150800-3 7.403880+5 1.151100-3 7.471301+5 1.151400-3 7.538418+5 1.151700-3 7.604839+5 1.152100-3 7.692037+5 1.152550-3 7.788220+5 1.153000-3 7.881614+5 1.153500-3 7.976298+5 1.154000-3 8.067085+5 1.154500-3 8.153674+5 1.155000-3 8.236265+5 1.155600-3 8.330018+5 1.156300-3 8.431634+5 1.156900-3 8.511994+5 1.157300-3 8.562236+5 1.158000-3 8.643564+5 1.158700-3 8.716796+5 1.159500-3 8.791396+5 1.160400-3 8.864566+5 1.161449-3 8.936617+5 1.161500-3 8.939945+5 1.162700-3 9.001656+5 1.164000-3 9.053598+5 1.165000-3 9.084594+5 1.166500-3 9.119101+5 1.168500-3 9.148338+5 1.170000-3 9.160886+5 1.173000-3 9.165410+5 1.178000-3 9.150397+5 1.180000-3 9.141413+5 1.188502-3 9.053151+5 1.190000-3 9.037764+5 1.202264-3 8.875654+5 1.205000-3 8.835492+5 1.215000-3 8.676313+5 1.216186-3 8.655908+5 1.225000-3 8.506158+5 1.240000-3 8.240300+5 1.258925-3 7.931362+5 1.273503-3 7.704249+5 1.288250-3 7.485999+5 1.290000-3 7.460665+5 1.290700-3 7.450331+5 1.290700-3 8.470510+5 1.318257-3 8.045703+5 1.333521-3 7.821224+5 1.350000-3 7.588747+5 1.364583-3 7.392089+5 1.365000-3 7.386565+5 1.390000-3 7.070730+5 1.396368-3 6.994049+5 1.412538-3 6.805742+5 1.428894-3 6.622634+5 1.462177-3 6.266742+5 1.500000-3 5.894652+5 1.513561-3 5.768898+5 1.554900-3 5.408169+5 1.566751-3 5.310471+5 1.570000-3 5.284131+5 1.584893-3 5.164247+5 1.603245-3 5.021829+5 1.621810-3 4.882465+5 1.678804-3 4.487482+5 1.698244-3 4.363097+5 1.757924-3 4.010725+5 1.778279-3 3.898391+5 1.819701-3 3.682072+5 1.820000-3 3.680572+5 1.862087-3 3.476488+5 1.905461-3 3.282432+5 1.927525-3 3.189608+5 1.950000-3 3.097621+5 1.972423-3 3.008893+5 2.000000-3 2.904650+5 2.041738-3 2.756414+5 2.065380-3 2.677147+5 2.089296-3 2.600157+5 2.187762-3 2.313992+5 2.213095-3 2.247199+5 2.238721-3 2.182386+5 2.300000-3 2.037776+5 2.317395-3 1.998734+5 2.344229-3 1.940193+5 2.371374-3 1.883343+5 2.400000-3 1.825881+5 2.483133-3 1.671834+5 2.511886-3 1.622822+5 2.540973-3 1.575284+5 2.570396-3 1.528550+5 2.600160-3 1.483244+5 2.630268-3 1.439297+5 2.660725-3 1.396646+5 2.786121-3 1.238633+5 2.800000-3 1.222713+5 2.818383-3 1.201935+5 2.851018-3 1.166254+5 2.884032-3 1.131659+5 2.917427-3 1.098119+5 2.951209-3 1.065583+5 2.985383-3 1.033690+5 3.019952-3 1.002617+5 3.090295-3 9.433206+4 3.126079-3 9.148984+4 3.162278-3 8.873545+4 3.198895-3 8.606636+4 3.273407-3 8.097267+4 3.349654-3 7.618296+4 3.388442-3 7.388002+4 3.427678-3 7.164115+4 3.548134-3 6.533438+4 3.589219-3 6.336182+4 3.630781-3 6.143724+4 3.672823-3 5.957264+4 3.715352-3 5.776609+4 3.801894-3 5.431828+4 3.845918-3 5.267288+4 3.890451-3 5.105773+4 4.027170-3 4.651138+4 4.073803-3 4.509047+4 4.120975-3 4.370673+4 4.216965-3 4.106863+4 4.315191-3 3.859294+4 4.365158-3 3.741214+4 4.415704-3 3.626844+4 4.466836-3 3.516060+4 4.518559-3 3.407622+4 4.570882-3 3.302543+4 4.623810-3 3.200808+4 4.677351-3 3.101598+4 4.786301-3 2.912547+4 4.897788-3 2.735250+4 5.011872-3 2.568902+4 5.069907-3 2.489663+4 5.128614-3 2.412687+4 5.188000-3 2.337694+4 5.308844-3 2.194839+4 5.370318-3 2.126755+4 5.432503-3 2.060374+4 5.559043-3 1.933873+4 5.688529-3 1.815254+4 5.888437-3 1.651180+4 6.025596-3 1.549420+4 6.095369-3 1.500987+4 6.165950-3 1.453811+4 6.237348-3 1.408141+4 6.309573-3 1.363902+4 6.456542-3 1.279592+4 6.683439-3 1.163052+4 6.839116-3 1.091481+4 6.918310-3 1.057225+4 6.928200-3 1.053040+4 6.998420-3 1.023754+4 7.079458-3 9.913410+3 7.161434-3 9.599703+3 7.244360-3 9.295973+3 7.413102-3 8.717167+3 7.585776-3 8.175349+3 7.943282-3 7.193224+3 8.000000-3 7.051999+3 8.035261-3 6.966135+3 8.128305-3 6.743978+3 8.222426-3 6.529020+3 8.413951-3 6.119695+3 8.511380-3 5.925006+3 8.609938-3 5.736446+3 9.120108-3 4.882078+3 9.225714-3 4.727538+3 9.332543-3 4.577367+3 9.440609-3 4.430786+3 9.772372-3 4.018118+3 9.885531-3 3.889502+3 1.000000-2 3.764972+3 1.033100-2 3.434435+3 1.033100-2 2.568681+4 1.048000-2 2.487907+4 1.059254-2 2.418417+4 1.060000-2 2.413906+4 1.080000-2 2.305133+4 1.083927-2 2.284580+4 1.085000-2 2.279001+4 1.096478-2 2.217997+4 1.109175-2 2.153127+4 1.135011-2 2.029021+4 1.148154-2 1.969692+4 1.161449-2 1.912106+4 1.188502-2 1.801947+4 1.230269-2 1.648547+4 1.244515-2 1.600388+4 1.258925-2 1.552213+4 1.288250-2 1.460023+4 1.303167-2 1.416010+4 1.348963-2 1.291772+4 1.364583-2 1.252842+4 1.368540-2 1.243235+4 1.428894-2 1.108520+4 1.462177-2 1.042744+4 1.479108-2 1.011339+4 1.500000-2 9.742966+3 1.540000-2 9.084238+3 1.548817-2 8.945666+3 1.566751-2 8.672585+3 1.584893-2 8.407867+3 1.640590-2 7.661234+3 1.659587-2 7.427449+3 1.717908-2 6.758229+3 1.737801-2 6.548863+3 1.757924-2 6.345763+3 1.840772-2 5.594333+3 1.862087-2 5.420826+3 1.949845-2 4.779000+3 2.000000-2 4.458245+3 2.018366-2 4.348160+3 2.041738-2 4.213220+3 2.065380-2 4.079811+3 2.089296-2 3.950629+3 2.162719-2 3.587069+3 2.187762-2 3.473496+3 2.213095-2 3.363508+3 2.290868-2 3.054009+3 2.371374-2 2.773056+3 2.398833-2 2.685181+3 2.454709-2 2.517711+3 2.511886-2 2.360705+3 2.570396-2 2.213476+3 2.630268-2 2.073045+3 2.691535-2 1.941541+3 2.722701-2 1.878952+3 2.800000-2 1.735062+3 2.917427-2 1.543440+3 3.054921-2 1.353718+3 3.162278-2 1.226876+3 3.198895-2 1.186749+3 3.235937-2 1.147937+3 3.311311-2 1.074086+3 3.427678-2 9.720182+2 3.507519-2 9.094287+2 3.589219-2 8.508747+2 3.630781-2 8.230282+2 3.801894-2 7.204595+2 3.890451-2 6.740743+2 3.935501-2 6.517342+2 3.981072-2 6.301132+2 4.265795-2 5.146616+2 4.365158-2 4.810902+2 4.623810-2 4.064301+2 4.677351-2 3.929521+2 4.800000-2 3.642319+2 4.897788-2 3.430906+2 5.069907-2 3.096956+2 5.188000-2 2.892603+2 5.623413-2 2.277851+2 5.688529-2 2.201426+2 5.754399-2 2.127493+2 5.956621-2 1.920273+2 6.025596-2 1.855180+2 6.309573-2 1.616157+2 6.382635-2 1.561374+2 6.683439-2 1.360204+2 7.000000-2 1.184171+2 7.079458-2 1.144777+2 7.498942-2 9.633639+1 7.585776-2 9.306905+1 7.943282-2 8.097426+1 8.035261-2 7.820443+1 8.609938-2 6.346641+1 8.810489-2 5.919943+1 9.015711-2 5.521642+1 9.225714-2 5.150152+1 9.332543-2 4.973899+1 9.549926-2 4.639293+1 1.000000-1 4.036130+1 1.011580-1 3.898016+1 1.023293-1 3.764643+1 1.035142-1 3.635816+1 1.047129-1 3.511401+1 1.071519-1 3.274397+1 1.148154-1 2.655133+1 1.174898-1 2.475947+1 1.188502-1 2.390922+1 1.202264-1 2.308816+1 1.230269-1 2.152963+1 1.244515-1 2.079030+1 1.288250-1 1.872128+1 1.348963-1 1.627953+1 1.380384-1 1.518087+1 1.396368-1 1.465969+1 1.428894-1 1.367039+1 1.445440-1 1.320108+1 1.479108-1 1.231028+1 1.513561-1 1.147959+1 1.531088-1 1.108553+1 1.566751-1 1.033758+1 1.621810-1 9.309217+0 1.678804-1 8.390661+0 1.698244-1 8.105078+0 1.717908-1 7.829234+0 1.737801-1 7.562767+0 1.798871-1 6.816639+0 1.883649-1 5.935156+0 1.927525-1 5.538523+0 1.949845-1 5.350260+0 1.972423-1 5.168405+0 2.065380-1 4.500786+0 2.137962-1 4.061502+0 2.162719-1 3.924817+0 2.187762-1 3.792741+0 2.213095-1 3.665111+0 2.238721-1 3.541780+0 2.290868-1 3.307444+0 2.317395-1 3.196263+0 2.344229-1 3.088841+0 2.426610-1 2.787759+0 2.454709-1 2.694068+0 2.483133-1 2.604823+0 2.511886-1 2.518537+0 2.540973-1 2.435114+0 2.691535-1 2.057675+0 2.722701-1 1.989618+0 2.754229-1 1.923826+0 2.786121-1 1.860216+0 2.851018-1 1.739244+0 2.985383-1 1.523739+0 3.000000-1 1.502511+0 3.054921-1 1.426220+0 3.090295-1 1.379830+0 3.126079-1 1.334952+0 3.162278-1 1.291601+0 3.198895-1 1.249672+0 3.235937-1 1.209102+0 3.273407-1 1.169851+0 3.349654-1 1.096428+0 3.427678-1 1.027619+0 3.507519-1 9.631315-1 3.548134-1 9.324220-1 3.589219-1 9.027460-1 3.672823-1 8.462133-1 3.801894-1 7.694677-1 3.890451-1 7.222140-1 3.935501-1 6.996864-1 4.000000-1 6.690698-1 4.027170-1 6.567445-1 4.120975-1 6.165126-1 4.168694-1 5.977444-1 4.216965-1 5.795488-1 4.315191-1 5.448024-1 4.365158-1 5.282186-1 4.415705-1 5.121394-1 4.466836-1 4.965515-1 4.518559-1 4.814699-1 4.570882-1 4.668513-1 4.623810-1 4.529928-1 4.731513-1 4.264991-1 4.786301-1 4.138393-1 4.841724-1 4.015563-1 4.954502-1 3.780737-1 5.011872-1 3.668780-1 5.069907-1 3.560178-1 5.128614-1 3.457380-1 5.188000-1 3.357557-1 5.308844-1 3.166493-1 5.370318-1 3.075077-1 5.432503-1 2.986302-1 5.495409-1 2.900089-1 5.559043-1 2.816573-1 5.623413-1 2.735495-1 5.688529-1 2.658762-1 5.821032-1 2.511700-1 5.888437-1 2.441248-1 6.095369-1 2.241532-1 6.165950-1 2.178857-1 6.237348-1 2.119556-1 6.382635-1 2.005758-1 6.456542-1 1.951171-1 6.606935-1 1.846414-1 6.683439-1 1.796166-1 6.760830-1 1.747440-1 6.839117-1 1.701431-1 6.998420-1 1.613020-1 7.079458-1 1.570552-1 7.161434-1 1.529203-1 7.244360-1 1.488943-1 7.328245-1 1.449864-1 7.585776-1 1.342026-1 7.673615-1 1.307892-1 7.762471-1 1.274628-1 7.852356-1 1.242209-1 7.943282-1 1.210618-1 8.035261-1 1.179916-1 8.511380-1 1.041610-1 8.609938-1 1.015959-1 8.810489-1 9.665415-2 8.820400-1 9.641923-2 8.912509-1 9.427997-2 9.015711-1 9.196458-2 9.120108-1 8.976500-2 9.225714-1 8.761807-2 9.332543-1 8.552275-2 9.549926-1 8.148157-2 9.660509-1 7.953413-2 9.772372-1 7.764065-2 9.885531-1 7.586272-2 1.000000+0 7.412593-2 1.011579+0 7.242897-2 1.035142+0 6.915053-2 1.047129+0 6.756735-2 1.059254+0 6.602114-2 1.071519+0 6.451037-2 1.083927+0 6.303408-2 1.096478+0 6.159536-2 1.109175+0 6.018940-2 1.122018+0 5.881578-2 1.161449+0 5.500391-2 1.174898+0 5.378902-2 1.188600+0 5.259342-2 1.202264+0 5.144547-2 1.216186+0 5.031453-2 1.230269+0 4.924718-2 1.258925+0 4.718000-2 1.288250+0 4.519964-2 1.303167+0 4.424100-2 1.333521+0 4.238527-2 1.348963+0 4.148937-2 1.364583+0 4.061250-2 1.380384+0 3.977888-2 1.412538+0 3.816267-2 1.428894+0 3.737939-2 1.445440+0 3.661225-2 1.462177+0 3.586124-2 1.479108+0 3.512563-2 1.500000+0 3.424980-2 1.513561+0 3.370133-2 1.603245+0 3.050628-2 1.621810+0 2.990485-2 1.659587+0 2.873745-2 1.678804+0 2.817096-2 1.698244+0 2.761733-2 1.717908+0 2.709170-2 1.737801+0 2.657606-2 1.798871+0 2.508733-2 1.840772+0 2.414189-2 1.883649+0 2.323217-2 1.905461+0 2.279024-2 1.927525+0 2.235793-2 1.949845+0 2.194607-2 1.972423+0 2.154183-2 2.065380+0 1.999796-2 2.089296+0 1.962978-2 2.137962+0 1.891373-2 2.162719+0 1.856671-2 2.187762+0 1.823781-2 2.213095+0 1.791477-2 2.317395+0 1.667878-2 2.344229+0 1.638350-2 2.398833+0 1.580860-2 2.426610+0 1.552970-2 2.454709+0 1.526505-2 2.483133+0 1.500492-2 2.630268+0 1.376930-2 2.660725+0 1.353478-2 2.722701+0 1.307772-2 2.754229+0 1.285572-2 2.786121+0 1.264465-2 2.818383+0 1.243705-2 3.019952+0 1.126109-2 3.054921+0 1.107629-2 3.162278+0 1.053992-2 3.198895+0 1.036749-2 3.273407+0 1.004145-2 3.507519+0 9.123607-3 3.548134+0 8.979076-3 3.672823+0 8.559118-3 3.715352+0 8.423961-3 3.801894+0 8.168160-3 4.120975+0 7.332547-3 4.168694+0 7.220417-3 4.315191+0 6.894245-3 4.365158+0 6.789144-3 4.466836+0 6.589870-3 4.897788+0 5.849615-3 4.954502+0 5.763170-3 5.128614+0 5.511449-3 5.188000+0 5.430242-3 5.308844+0 5.275955-3 5.888437+0 4.634176-3 5.956621+0 4.567900-3 6.165950+0 4.374717-3 6.237348+0 4.312328-3 6.382635+0 4.193575-3 7.161434+0 3.647130-3 7.244360+0 3.596586-3 7.498942+0 3.449130-3 7.585776+0 3.401460-3 7.762471+0 3.310573-3 8.912509+0 2.814059-3 9.015711+0 2.776223-3 9.440609+0 2.629912-3 9.549926+0 2.594646-3 9.772372+0 2.527334-3 1.100000+1 2.207994-3 1.109175+1 2.187165-3 1.122018+1 2.158620-3 1.188502+1 2.021393-3 1.216186+1 1.969087-3 1.258925+1 1.894819-3 1.445440+1 1.624730-3 1.462177+1 1.604049-3 1.479108+1 1.583631-3 1.566751+1 1.485380-3 1.584893+1 1.466516-3 1.603245+1 1.447893-3 1.659587+1 1.394621-3 1.927525+1 1.185528-3 1.972423+1 1.156278-3 2.018366+1 1.127749-3 2.187762+1 1.033334-3 2.213095+1 1.020535-3 2.264644+1 9.959405-4 2.570396+1 8.708957-4 2.600160+1 8.603380-4 2.722701+1 8.193817-4 2.951209+1 7.523436-4 3.273407+1 6.741507-4 3.311311+1 6.659807-4 3.349654+1 6.579229-4 3.388442+1 6.500957-4 3.427678+1 6.423620-4 3.758374+1 5.837143-4 3.845918+1 5.699089-4 4.027170+1 5.432759-4 4.415704+1 4.936858-4 5.128614+1 4.225734-4 5.248075+1 4.125820-4 5.308844+1 4.076815-4 5.370318+1 4.029030-4 5.495409+1 3.935135-4 6.165950+1 3.497483-4 6.382635+1 3.375937-4 6.683439+1 3.220450-4 7.413102+1 2.896289-4 8.810489+1 2.426906-4 9.015711+1 2.370362-4 9.120108+1 2.342610-4 9.225714+1 2.315183-4 9.332543+1 2.288318-4 9.549926+1 2.235519-4 1.135011+2 1.876482-4 1.202264+2 1.770109-4 1.303167+2 1.631252-4 1.479108+2 1.434726-4 1.757924+2 1.204328-4 1.798871+2 1.176544-4 1.819701+2 1.162904-4 1.840772+2 1.149422-4 1.862087+2 1.136202-4 1.905461+2 1.110215-4 2.264644+2 9.333506-5 2.398833+2 8.808947-5 2.600160+2 8.123781-5 2.951209+2 7.153160-5 3.507519+2 6.013729-5 7.161434+2 2.935500-5 7.244360+2 2.901751-5 7.328245+2 2.868391-5 7.413102+2 2.835526-5 7.585776+2 2.770922-5 9.015711+2 2.331063-5 9.549926+2 2.200546-5 1.035142+3 2.030014-5 1.174898+3 1.788337-5 2.786121+3 7.535552-6 8.222427+3 2.550919-6 1.135011+4 1.847447-6 1.148154+4 1.826282-6 1.161449+4 1.805360-6 2.317395+4 9.048437-7 3.019952+4 6.943481-7 3.715352+4 5.643921-7 4.677351+4 4.483167-7 4.786301+4 4.381122-7 1.000000+5 2.097001-7 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.880000-6 4.880000-6 5.000000-6 4.880000-6 5.000000-6 4.921234-6 1.169000-5 4.922824-6 1.169000-5 7.069109-6 1.252000-5 6.633384-6 1.335000-5 6.233883-6 1.410000-5 5.910889-6 1.479108-5 5.649823-6 1.540000-5 5.450912-6 1.610000-5 5.261164-6 1.675000-5 5.124450-6 1.740000-5 5.026741-6 1.778279-5 4.987749-6 1.842000-5 4.953812-6 1.907000-5 4.958212-6 1.965000-5 4.994593-6 2.025000-5 5.062764-6 2.085000-5 5.159933-6 2.150000-5 5.295192-6 2.213095-5 5.452310-6 2.300000-5 5.704480-6 2.400000-5 6.032144-6 2.570396-5 6.644328-6 2.687000-5 7.070919-6 2.687000-5 1.480082-5 2.737000-5 1.482000-5 2.737000-5 1.510682-5 3.690000-5 1.554821-5 4.300000-5 1.570676-5 5.308844-5 1.580411-5 8.810489-5 1.585928-5 1.072800-4 1.586614-5 1.072800-4 1.653191-5 1.110100-4 1.651031-5 1.110100-4 1.679917-5 1.205000-4 1.675863-5 1.306600-4 1.684269-5 1.462177-4 1.711287-5 1.577500-4 1.736558-5 1.577500-4 1.842135-5 2.162719-4 1.992857-5 2.630268-4 2.097265-5 3.162278-4 2.197105-5 3.801894-4 2.301581-5 4.570882-4 2.406719-5 5.370318-4 2.499510-5 6.165950-4 2.578457-5 7.328245-4 2.674693-5 8.511380-4 2.754848-5 1.000000-3 2.837580-5 1.122000-3 2.894103-5 1.122000-3 3.796291-5 1.122250-3 3.813863-5 1.123100-3 3.901117-5 1.124200-3 3.987371-5 1.125500-3 4.061646-5 1.126900-3 4.118922-5 1.128300-3 4.147875-5 1.131500-3 4.190528-5 1.139000-3 4.235541-5 1.146000-3 4.258857-5 1.150400-3 4.266543-5 1.150400-3 4.309532-5 1.155600-3 4.357742-5 1.162700-3 4.386065-5 1.180000-3 4.400753-5 1.290700-3 4.410022-5 1.290700-3 4.696592-5 2.000000-3 4.841729-5 2.917427-3 4.987047-5 4.073803-3 5.129237-5 5.559043-3 5.269510-5 7.413102-3 5.403198-5 9.885531-3 5.535931-5 1.033100-2 5.555955-5 1.033100-2 6.899532-5 1.737801-2 6.948424-5 3.630781-2 6.986977-5 1.071519-1 7.012286-5 1.479108+0 7.024110-5 1.000000+5 7.024095-5 1 31000 7 7 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.880000-6 0.0 2.737000-5 0.0 2.737000-5 4.45939-11 2.800000-5 4.56444-11 2.870000-5 4.65234-11 2.920000-5 4.69977-11 2.980000-5 4.73656-11 3.040000-5 4.75381-11 3.190000-5 4.74463-11 3.400000-5 4.75527-11 3.589219-5 4.78112-11 3.690000-5 4.79566-11 3.801894-5 4.81982-11 4.365158-5 4.92679-11 4.900000-5 5.00618-11 5.308844-5 5.04942-11 5.850000-5 5.09696-11 6.456542-5 5.12786-11 7.500000-5 5.16430-11 8.300000-5 5.18512-11 9.900000-5 5.21218-11 1.023293-4 5.21059-11 1.072800-4 5.21771-11 1.072800-4 1.64628-10 1.100000-4 1.62009-10 1.110100-4 1.60956-10 1.110100-4 2.15293-10 1.140000-4 2.11401-10 1.152000-4 2.10065-10 1.174898-4 2.08329-10 1.190000-4 2.07815-10 1.205000-4 2.07880-10 1.230269-4 2.09610-10 1.247200-4 2.11453-10 1.280000-4 2.16741-10 1.306600-4 2.22335-10 1.350000-4 2.33329-10 1.400000-4 2.48449-10 1.450000-4 2.65094-10 1.531087-4 2.95267-10 1.577500-4 3.13690-10 1.577500-4 4.12462-10 1.862087-4 5.34059-10 1.972423-4 5.79690-10 2.137962-4 6.45316-10 2.238721-4 6.83758-10 2.426610-4 7.51493-10 2.650000-4 8.26735-10 2.851018-4 8.88717-10 3.126079-4 9.67363-10 3.349654-4 1.027562-9 3.548134-4 1.078860-9 3.801894-4 1.139788-9 4.120975-4 1.210149-9 4.518559-4 1.290677-9 4.850000-4 1.352453-9 5.188000-4 1.412187-9 5.623413-4 1.481454-9 6.165950-4 1.558621-9 6.839116-4 1.643551-9 7.413102-4 1.707748-9 8.317638-4 1.794905-9 9.225714-4 1.869784-9 1.023293-3 1.940183-9 1.122000-3 1.999228-9 1.122000-3 6.603840-6 1.122250-3 6.732058-6 1.122500-3 6.936330-6 1.122800-3 7.162093-6 1.123100-3 7.369463-6 1.123400-3 7.561031-6 1.123800-3 7.791401-6 1.124200-3 7.999525-6 1.124600-3 8.186019-6 1.125000-3 8.354077-6 1.125500-3 8.541993-6 1.126000-3 8.708126-6 1.126900-3 8.960173-6 1.127100-3 8.963949-6 1.128300-3 9.171070-6 1.130000-3 9.350995-6 1.131500-3 9.481125-6 1.133400-3 9.593718-6 1.139000-3 9.805918-6 1.146000-3 9.972563-6 1.150400-3 1.002626-5 1.150400-3 1.042625-5 1.153000-3 1.067868-5 1.155600-3 1.086138-5 1.158700-3 1.100708-5 1.162700-3 1.111329-5 1.170000-3 1.119118-5 1.190000-3 1.124597-5 1.225000-3 1.127191-5 1.290700-3 1.126016-5 1.290700-3 1.149897-5 2.344229-3 1.153368-5 1.033100-2 1.147014-5 1.033100-2 4.138789-3 1.288250-2 4.176384-3 1.840772-2 4.213663-3 2.917427-2 4.242883-3 5.623413-2 4.262388-3 1.972423-1 4.271359-3 1.000000+5 4.273911-3 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.880000-6 0.0 5.000000-6 1.200000-7 5.000000-6 7.876627-8 1.169000-5 6.767176-6 1.169000-5 4.620891-6 1.252000-5 5.886616-6 1.335000-5 7.116117-6 1.428894-5 8.453847-6 1.522000-5 9.713571-6 1.615000-5 1.090051-5 1.710000-5 1.203306-5 1.811000-5 1.314443-5 1.912000-5 1.415984-5 2.025000-5 1.518724-5 2.150000-5 1.620481-5 2.300000-5 1.729552-5 2.520000-5 1.874046-5 2.687000-5 1.979908-5 2.687000-5 1.206918-5 2.737000-5 1.255000-5 2.737000-5 1.226313-5 3.758374-5 2.201157-5 4.570882-5 2.996292-5 8.128305-5 6.542773-5 1.072800-4 9.141381-5 1.072800-4 9.074793-5 1.110100-4 9.449953-5 1.110100-4 9.421061-5 1.380384-4 1.210805-4 1.577500-4 1.403841-4 1.577500-4 1.393282-4 3.126079-4 2.906980-4 6.839116-4 6.575447-4 1.122000-3 1.093057-3 1.122000-3 1.077433-3 1.127100-3 1.076941-3 1.170000-3 1.114854-3 1.290700-3 1.235340-3 1.290700-3 1.232235-3 1.033100-2 1.026397-2 1.033100-2 6.123216-3 1.462177-2 1.036134-2 3.630781-2 3.198630-2 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.033100-2 2.225238+4 1.048000-2 2.158040+4 1.060000-2 2.094440+4 1.085000-2 1.979816+4 1.244515-2 1.397703+4 1.540000-2 7.981440+3 1.659587-2 6.537921+3 2.041738-2 3.723967+3 2.570396-2 1.963267+3 3.162278-2 1.090680+3 3.890451-2 6.002695+2 4.800000-2 3.247740+2 5.956621-2 1.713915+2 7.585776-2 8.313024+1 1.047129-1 3.138296+1 1.621810-1 8.321676+0 2.065380-1 4.023895+0 2.454709-1 2.408533+0 2.851018-1 1.554936+0 3.273407-1 1.045914+0 3.672823-1 7.565862-1 4.120975-1 5.512309-1 4.570882-1 4.174352-1 5.069907-1 3.183431-1 5.623413-1 2.446107-1 6.165950-1 1.948490-1 6.760830-1 1.562766-1 7.328245-1 1.296735-1 8.035261-1 1.055401-1 9.015711-1 8.226632-2 9.772372-1 6.945724-2 1.122018+0 5.261633-2 1.216186+0 4.501206-2 1.364583+0 3.633273-2 1.513561+0 3.014999-2 1.698244+0 2.470689-2 1.927525+0 2.000180-2 2.162719+0 1.661003-2 2.426610+0 1.389309-2 2.754229+0 1.150096-2 3.198895+0 9.274960-3 3.715352+0 7.536270-3 4.365158+0 6.073737-3 5.188000+0 4.858037-3 6.237348+0 3.857929-3 7.585776+0 3.043047-3 9.549926+0 2.321256-3 1.216186+1 1.761583-3 1.603245+1 1.295317-3 2.213095+1 9.130039-4 3.349654+1 5.886006-4 5.308844+1 3.647268-4 9.225714+1 2.071251-4 1.840772+2 1.028313-4 7.328245+2 2.566200-5 1.161449+4 1.615158-6 1.000000+5 1.876100-7 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.033100-2 7.106900-5 1.000000+5 7.106900-5 1 31000 7 7 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.033100-2 4.775800-3 1.000000+5 4.775800-3 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.033100-2 5.484131-3 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.290700-3 1.020179+5 1.350000-3 9.504355+4 1.365000-3 9.323980+4 1.390000-3 9.083620+4 1.428894-3 8.767661+4 1.554900-3 7.703146+4 1.820000-3 6.003500+4 2.187762-3 4.397468+4 2.400000-3 3.728280+4 2.800000-3 2.810040+4 3.090295-3 2.328107+4 3.589219-3 1.735860+4 4.073803-3 1.342369+4 4.623810-3 1.031471+4 5.370318-3 7.486516+3 6.095369-3 5.667673+3 6.928200-3 4.251149+3 8.035261-3 3.023340+3 9.332543-3 2.125526+3 1.083927-2 1.482488+3 1.258925-2 1.026146+3 1.479108-2 6.848189+2 1.737801-2 4.532363+2 2.018366-2 3.067296+2 2.371374-2 1.999585+2 2.800000-2 1.276464+2 3.311311-2 8.052730+1 3.935501-2 4.974018+1 4.677351-2 3.050830+1 5.688529-2 1.739388+1 7.000000-2 9.511760+0 8.810489-2 4.830944+0 1.174898-1 2.051934+0 1.883649-1 5.012596-1 2.290868-1 2.813054-1 2.691535-1 1.757578-1 3.126079-1 1.144072-1 3.548134-1 8.010875-2 4.000000-1 5.758689-2 4.466836-1 4.280872-2 4.954502-1 3.263089-2 5.495409-1 2.505287-2 6.095369-1 1.938287-2 6.683439-1 1.553857-2 7.244360-1 1.288393-2 7.943282-1 1.047857-2 8.820400-1 8.346787-3 9.660509-1 6.884219-3 1.083927+0 5.453934-3 1.188600+0 4.550294-3 1.333521+0 3.668095-3 1.500000+0 2.964697-3 1.678804+0 2.438551-3 1.905461+0 1.972880-3 2.137962+0 1.637271-3 2.398833+0 1.368490-3 2.722701+0 1.132092-3 3.162278+0 9.124144-4 3.672823+0 7.409260-4 4.315191+0 5.968140-4 5.128614+0 4.771214-4 6.165950+0 3.787207-4 7.498942+0 2.985957-4 9.440609+0 2.276701-4 1.188502+1 1.749805-4 1.566751+1 1.285740-4 2.187762+1 8.945816-5 3.311311+1 5.765911-5 5.248075+1 3.572115-5 9.015711+1 2.052116-5 1.798871+2 1.018668-5 7.161434+2 2.541549-6 1.135011+4 1.599608-7 1.000000+5 1.815700-8 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.290700-3 6.789400-5 1.000000+5 6.789400-5 1 31000 7 7 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.290700-3 1.324300-5 1.000000+5 1.324300-5 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.290700-3 1.209563-3 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.150400-3 7.605300+4 1.150510-3 7.773000+4 1.150800-3 8.384500+4 1.151100-3 9.012400+4 1.151400-3 9.637200+4 1.151700-3 1.025500+5 1.152100-3 1.106500+5 1.152550-3 1.195700+5 1.153000-3 1.282100+5 1.153500-3 1.375500+5 1.154000-3 1.465000+5 1.154500-3 1.550300+5 1.155000-3 1.631600+5 1.155600-3 1.723800+5 1.156300-3 1.823600+5 1.156900-3 1.902400+5 1.157300-3 1.951600+5 1.158000-3 2.031100+5 1.158700-3 2.102500+5 1.159500-3 2.175000+5 1.160400-3 2.245800+5 1.161500-3 2.318500+5 1.162700-3 2.382400+5 1.164000-3 2.436700+5 1.165000-3 2.469500+5 1.166500-3 2.506700+5 1.168500-3 2.539500+5 1.170000-3 2.554700+5 1.173000-3 2.569900+5 1.178000-3 2.572500+5 1.205000-3 2.545900+5 1.215000-3 2.521200+5 1.225000-3 2.481800+5 1.273503-3 2.244900+5 1.318257-3 2.059800+5 1.396368-3 1.775300+5 1.603245-3 1.251700+5 1.778279-3 9.565200+4 1.950000-3 7.487500+4 2.317395-3 4.667300+4 2.540973-3 3.605700+4 2.985383-3 2.274000+4 3.388442-3 1.570200+4 3.845918-3 1.078200+4 4.466836-3 6.855400+3 5.069907-3 4.644200+3 5.888437-3 2.909800+3 6.918310-3 1.743200+3 8.035261-3 1.075100+3 9.440609-3 6.338500+2 1.109175-2 3.708900+2 1.303167-2 2.154500+2 1.548817-2 1.194800+2 1.840772-2 6.576600+1 2.213095-2 3.452200+1 2.691535-2 1.727400+1 3.311311-2 8.236900+0 4.265795-2 3.305900+0 9.225714-2 2.011600-1 1.148154-1 9.156000-2 1.380384-1 4.751905-2 1.621810-1 2.695277-2 1.883649-1 1.603969-2 2.162719-1 1.000845-2 2.454709-1 6.542609-3 2.754229-1 4.475818-3 3.090295-1 3.083634-3 3.427678-1 2.219571-3 3.801894-1 1.608824-3 4.168694-1 1.216681-3 4.623810-1 8.956170-4 5.128614-1 6.645319-4 5.688529-1 4.968614-4 6.237348-1 3.861958-4 6.839117-1 3.022986-4 7.328245-1 2.529481-4 8.035261-1 2.008443-4 9.332543-1 1.394201-4 9.885531-1 1.219083-4 1.047129+0 1.074822-4 1.109175+0 9.532775-5 1.174898+0 8.504147-5 1.258925+0 7.472704-5 1.380384+0 6.338191-5 1.717908+0 4.348461-5 1.949845+0 3.519388-5 2.187762+0 2.924201-5 2.454709+0 2.447545-5 2.786121+0 2.027456-5 3.273407+0 1.609708-5 3.801894+0 1.309432-5 4.466836+0 1.056449-5 5.308844+0 8.458501-6 6.382635+0 6.723355-6 7.762471+0 5.307885-6 9.772372+0 4.051870-6 1.258925+1 3.037817-6 1.659587+1 2.235951-6 2.264644+1 1.597072-6 3.388442+1 1.042609-6 5.370318+1 6.461586-7 9.332543+1 3.670084-7 1.862087+2 1.822181-7 7.413102+2 4.547775-8 4.677351+4 7.19102-10 1.000000+5 3.36340-10 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.150400-3 4.680300-5 1.000000+5 4.680300-5 1 31000 7 7 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.150400-3 1.387600-5 1.000000+5 1.387600-5 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.150400-3 1.089721-3 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.122000-3 1.599836+5 1.122018-3 1.601308+5 1.122250-3 1.664720+5 1.122500-3 1.774484+5 1.122800-3 1.904956+5 1.123100-3 2.034256+5 1.123400-3 2.162700+5 1.123800-3 2.329992+5 1.124200-3 2.494748+5 1.124600-3 2.654792+5 1.125000-3 2.810300+5 1.125500-3 2.998412+5 1.126000-3 3.178748+5 1.126500-3 3.350244+5 1.126900-3 3.481168+5 1.127100-3 3.484618+5 1.128100-3 3.721216+5 1.128300-3 3.761408+5 1.130000-3 4.023213+5 1.131500-3 4.227743+5 1.133400-3 4.412408+5 1.136000-3 4.594154+5 1.139000-3 4.777484+5 1.142300-3 4.922894+5 1.143000-3 4.941016+5 1.146000-3 5.074418+5 1.153000-3 5.202385+5 1.161449-3 5.248566+5 1.170000-3 5.257047+5 1.180000-3 5.248880+5 1.190000-3 5.181480+5 1.202264-3 5.062875+5 1.240000-3 4.661880+5 1.290000-3 4.220080+5 1.350000-3 3.746032+5 1.570000-3 2.546140+5 1.757924-3 1.892831+5 1.927525-3 1.477374+5 2.300000-3 9.065400+4 2.540973-3 6.834013+4 2.951209-3 4.435948+4 3.349654-3 3.052657+4 3.845918-3 2.017328+4 4.466836-3 1.276834+4 5.128614-3 8.308899+3 5.888437-3 5.369626+3 6.839116-3 3.320671+3 7.943282-3 2.038076+3 9.225714-3 1.241843+3 1.080000-2 7.316960+2 1.258925-2 4.342543+2 1.479108-2 2.491136+2 1.757924-2 1.362624+2 2.089296-2 7.395866+1 2.511886-2 3.823317+1 3.054921-2 1.881682+1 3.801894-2 8.449105+0 4.897788-2 3.315471+0 1.035142-1 2.049344-1 1.288250-1 9.158248-2 1.513561-1 5.090311-2 1.737801-1 3.097781-2 1.972423-1 1.978075-2 2.238721-1 1.272037-2 2.511886-1 8.580300-3 2.786121-1 6.063169-3 3.054921-1 4.482113-3 3.349654-1 3.334673-3 3.672823-1 2.497473-3 4.027170-1 1.883271-3 4.415705-1 1.430491-3 4.786301-1 1.131887-3 5.188000-1 9.016636-4 5.623413-1 7.232670-4 6.095369-1 5.839523-4 6.683439-1 4.608442-4 7.244360-1 3.771435-4 7.852356-1 3.106661-4 8.609938-1 2.508480-4 9.225714-1 2.147834-4 9.885531-1 1.851430-4 1.083927+0 1.533494-4 1.174898+0 1.307827-4 1.288250+0 1.099000-4 1.428894+0 9.104719-5 1.621810+0 7.293400-5 1.840772+0 5.887265-5 2.089296+0 4.786895-5 2.344229+0 3.995382-5 2.660725+0 3.300730-5 3.054921+0 2.701063-5 3.548134+0 2.189504-5 4.168694+0 1.760697-5 4.954502+0 1.405370-5 5.956621+0 1.113980-5 7.244360+0 8.771119-6 9.015711+0 6.770190-6 1.122018+1 5.263444-6 1.479108+1 3.861503-6 2.018366+1 2.749779-6 2.951209+1 1.834391-6 4.415704+1 1.203684-6 7.413102+1 7.061300-7 1.479108+2 3.499935-7 2.951209+2 1.743991-7 1.174898+3 4.363226-8 3.715352+4 1.377399-9 1.000000+5 5.11730-10 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.122000-3 4.637300-5 1.000000+5 4.637300-5 1 31000 7 7 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.122000-3 1.275800-5 1.000000+5 1.275800-5 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.122000-3 1.062869-3 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.577500-4 2.599438+5 2.089296-4 2.270699+5 2.190000-4 2.205600+5 2.350000-4 2.094100+5 2.650000-4 1.901446+5 2.851018-4 1.782129+5 3.054921-4 1.664831+5 3.311311-4 1.525942+5 3.715352-4 1.336183+5 4.120975-4 1.177765+5 4.518559-4 1.045051+5 5.128614-4 8.790191+4 5.754399-4 7.461900+4 6.500000-4 6.222220+4 7.413102-4 5.078663+4 8.413951-4 4.145856+4 9.772372-4 3.235419+4 1.122018-3 2.553462+4 1.288250-3 2.001882+4 1.500000-3 1.519124+4 1.757924-3 1.129873+4 2.041738-3 8.482497+3 2.371374-3 6.323978+3 2.786121-3 4.575383+3 3.273407-3 3.285335+3 3.845918-3 2.341464+3 4.518559-3 1.656477+3 5.308844-3 1.163031+3 6.237348-3 8.102008+2 7.244360-3 5.750124+2 8.511380-3 3.943319+2 9.885531-3 2.756703+2 1.161449-2 1.861064+2 1.364583-2 1.246906+2 1.584893-2 8.536006+1 1.862087-2 5.632532+1 2.187762-2 3.688931+1 2.570396-2 2.398596+1 3.054921-2 1.500700+1 3.630781-2 9.315744+0 4.365158-2 5.557708+0 5.188000-2 3.400256+0 6.309573-2 1.932475+0 7.943282-2 9.858399-1 1.023293-1 4.664438-1 1.798871-1 8.679204-2 2.317395-1 4.107165-2 2.722701-1 2.568893-2 3.162278-1 1.673948-2 3.589219-1 1.173263-2 4.027170-1 8.551725-3 4.518559-1 6.280405-3 5.011872-1 4.791015-3 5.559043-1 3.682338-3 6.095369-1 2.933537-3 6.683439-1 2.352698-3 7.328245-1 1.899482-3 8.035261-1 1.543933-3 8.810489-1 1.262907-3 9.549926-1 1.066050-3 1.047129+0 8.849359-4 1.174898+0 7.053055-4 1.303167+0 5.791189-4 1.445440+0 4.792037-4 1.603245+0 3.993083-4 1.798871+0 3.283810-4 2.065380+0 2.618026-4 2.317395+0 2.183586-4 2.630268+0 1.802680-4 3.019952+0 1.474307-4 3.507519+0 1.194344-4 4.120975+0 9.598899-5 4.897788+0 7.657779-5 5.888437+0 6.066938-5 7.161434+0 4.774776-5 8.912509+0 3.684103-5 1.100000+1 2.890200-5 1.445440+1 2.126844-5 1.927525+1 1.551850-5 2.600160+1 1.126127-5 3.845918+1 7.460464-6 6.382635+1 4.419128-6 1.202264+2 2.318012-6 2.398833+2 1.153175-6 9.549926+2 2.882565-7 3.019952+4 9.097608-9 1.000000+5 2.747400-9 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.577500-4 4.281500-5 1.000000+5 4.281500-5 1 31000 7 7 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.577500-4 2.694600-9 1.000000+5 2.694600-9 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.577500-4 1.149323-4 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.110100-4 1.628814+5 1.122018-4 1.607761+5 1.140000-4 1.564550+5 1.183000-4 1.456624+5 1.205000-4 1.414644+5 1.225000-4 1.387838+5 1.245000-4 1.371662+5 1.260000-4 1.365828+5 1.280000-4 1.365268+5 1.306600-4 1.374904+5 1.333521-4 1.394079+5 1.365000-4 1.425394+5 1.400000-4 1.468404+5 1.450000-4 1.540034+5 1.621810-4 1.821084+5 1.698244-4 1.939675+5 1.760000-4 2.024740+5 1.820000-4 2.096260+5 1.883649-4 2.159292+5 1.950000-4 2.212160+5 2.018366-4 2.253495+5 2.089296-4 2.284251+5 2.190000-4 2.310860+5 2.300000-4 2.321920+5 2.400000-4 2.318480+5 2.511886-4 2.301272+5 2.630268-4 2.269817+5 2.754229-4 2.225427+5 2.917427-4 2.154948+5 3.100000-4 2.066960+5 3.311311-4 1.960255+5 3.548134-4 1.840881+5 3.801894-4 1.716077+5 4.073803-4 1.587562+5 4.365158-4 1.458342+5 4.731513-4 1.311227+5 5.150000-4 1.163832+5 5.559043-4 1.037764+5 6.025596-4 9.131661+4 6.606934-4 7.832125+4 7.244360-4 6.666245+4 7.943282-4 5.629614+4 8.810489-4 4.616703+4 9.660509-4 3.842410+4 1.071519-3 3.101217+4 1.190000-3 2.476920+4 1.318257-3 1.973666+4 1.462177-3 1.557689+4 1.621810-3 1.220759+4 1.819701-3 9.241266+3 2.065380-3 6.742970+3 2.317395-3 5.024439+3 2.600160-3 3.717933+3 2.917427-3 2.733178+3 3.273407-3 1.996426+3 3.715352-3 1.403091+3 4.216965-3 9.788725+2 4.786301-3 6.780270+2 5.432503-3 4.663075+2 6.165950-3 3.184753+2 7.079458-3 2.084837+2 8.128305-3 1.354146+2 9.332543-3 8.730874+1 1.083927-2 5.383786+1 1.258925-2 3.295876+1 1.462177-2 2.003467+1 1.717908-2 1.162835+1 2.018366-2 6.699191+0 2.398833-2 3.682456+0 2.917427-2 1.853779+0 3.589219-2 8.888489-1 4.623810-2 3.588980-1 9.549926-2 2.623597-2 1.202264-1 1.151025-2 1.445440-1 5.998120-3 1.698244-1 3.416012-3 1.949845-1 2.122803-3 2.238721-1 1.328891-3 2.540973-1 8.714772-4 2.851018-1 5.980060-4 3.198895-1 4.133895-4 3.548134-1 2.985396-4 3.935501-1 2.170794-4 4.365158-1 1.590159-4 4.841724-1 1.173686-4 5.370318-1 8.730424-5 5.888437-1 6.757483-5 6.456542-1 5.268084-5 7.079458-1 4.136222-5 7.762471-1 3.270235-5 8.609938-1 2.520839-5 9.225714-1 2.133318-5 9.772372-1 1.868694-5 1.035142+0 1.648587-5 1.109175+0 1.428521-5 1.188600+0 1.246800-5 1.288250+0 1.073617-5 1.428894+0 8.928793-6 1.698244+0 6.626798-6 1.927525+0 5.360890-6 2.162719+0 4.451255-6 2.426610+0 3.723172-6 2.754229+0 3.082145-6 3.198895+0 2.485599-6 3.715352+0 2.019618-6 4.365158+0 1.627683-6 5.188000+0 1.301880-6 6.237348+0 1.033830-6 7.585776+0 8.154845-7 9.549926+0 6.220401-7 1.216186+1 4.720739-7 1.603245+1 3.471074-7 2.213095+1 2.446640-7 3.349654+1 1.577370-7 5.308844+1 9.774005-8 9.120108+1 5.615953-8 1.819701+2 2.788004-8 7.244360+2 6.956571-9 1.148154+4 4.37849-10 1.000000+5 5.02760-11 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.110100-4 3.117100-5 1.000000+5 3.117100-5 1 31000 7 7 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.110100-4 2.918700-9 1.000000+5 2.918700-9 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.110100-4 7.983608-5 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.072800-4 3.566988+5 1.086000-4 3.505936+5 1.137000-4 3.235100+5 1.152000-4 3.173996+5 1.172800-4 3.111755+5 1.190000-4 3.080336+5 1.205000-4 3.066624+5 1.225000-4 3.065456+5 1.247200-4 3.082968+5 1.273503-4 3.123280+5 1.306100-4 3.194517+5 1.350000-4 3.315280+5 1.412538-4 3.516427+5 1.566751-4 4.055447+5 1.640590-4 4.294656+5 1.698244-4 4.459809+5 1.760000-4 4.611200+5 1.820000-4 4.731560+5 1.883649-4 4.831934+5 1.950000-4 4.908920+5 2.041738-4 4.976313+5 2.137962-4 5.008258+5 2.238721-4 5.008637+5 2.350000-4 4.977600+5 2.483133-4 4.905290+5 2.620000-4 4.798560+5 2.754229-4 4.669622+5 2.917427-4 4.492211+5 3.100000-4 4.282360+5 3.311311-4 4.038610+5 3.548134-4 3.771940+5 3.801894-4 3.497554+5 4.073803-4 3.219903+5 4.415704-4 2.900306+5 4.786301-4 2.593172+5 5.188000-4 2.303564+5 5.623413-4 2.031313+5 6.165950-4 1.744997+5 6.760830-4 1.488058+5 7.413102-4 1.259401+5 8.128305-4 1.057820+5 9.015711-4 8.627416+4 9.885531-4 7.144667+4 1.096478-3 5.736569+4 1.216186-3 4.571310+4 1.364583-3 3.520696+4 1.513561-3 2.762724+4 1.678804-3 2.153551+4 1.862087-3 1.667935+4 2.089296-3 1.246712+4 2.344229-3 9.251075+3 2.630268-3 6.817423+3 2.951209-3 4.991140+3 3.349654-3 3.515335+3 3.801894-3 2.457786+3 4.315191-3 1.705625+3 4.897788-3 1.174947+3 5.559043-3 8.036903+2 6.309573-3 5.458597+2 7.161434-3 3.681686+2 8.222426-3 2.377695+2 9.440609-3 1.523661+2 1.096478-2 9.332038+1 1.288250-2 5.457270+1 1.500000-2 3.263085+1 1.757924-2 1.893074+1 2.065380-2 1.080405+1 2.454709-2 5.876559+0 2.917427-2 3.172578+0 3.507519-2 1.630711+0 4.365158-2 7.337133-1 5.754399-2 2.651649-1 1.000000-1 3.427687-2 1.244515-1 1.533335-2 1.479108-1 8.181673-3 1.717908-1 4.778911-3 1.949845-1 3.052107-3 2.213095-1 1.963355-3 2.483133-1 1.324413-3 2.754229-1 9.356946-4 3.054921-1 6.659122-4 3.349654-1 4.955216-4 3.672823-1 3.712044-4 4.027170-1 2.800618-4 4.415705-1 2.128986-4 4.786301-1 1.685795-4 5.188000-1 1.343542-4 5.623413-1 1.077900-4 6.095369-1 8.704430-5 6.606935-1 7.075635-5 7.161434-1 5.789318-5 7.762471-1 4.767792-5 8.511380-1 3.844596-5 9.120108-1 3.291013-5 9.772372-1 2.835118-5 1.071519+0 2.346301-5 1.174898+0 1.955269-5 1.288250+0 1.642946-5 1.428894+0 1.361019-5 1.621810+0 1.090229-5 1.840772+0 8.800407-6 2.089296+0 7.155264-6 2.344229+0 5.972001-6 2.660725+0 4.933727-6 3.054921+0 4.037462-6 3.548134+0 3.272776-6 4.168694+0 2.631843-6 4.954502+0 2.100770-6 5.956621+0 1.665120-6 7.244360+0 1.311053-6 9.015711+0 1.012035-6 1.109175+1 7.971170-7 1.462177+1 5.846179-7 1.972423+1 4.213983-7 2.722701+1 2.985980-7 4.027170+1 1.979802-7 6.683439+1 1.173602-7 1.303167+2 5.947473-8 2.600160+2 2.960623-8 1.035142+3 7.403395-9 8.222427+3 9.30529-10 1.000000+5 7.64920-11 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.072800-4 3.132600-5 1.000000+5 3.132600-5 1 31000 7 7 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.072800-4 2.663400-9 1.000000+5 2.663400-9 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.072800-4 7.595134-5 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.737000-5 9.152614+5 3.120000-5 9.253480+5 3.190000-5 9.340080+5 3.260000-5 9.496400+5 3.330000-5 9.716400+5 3.400000-5 9.994640+5 3.471900-5 1.033520+6 3.570000-5 1.088136+6 3.690000-5 1.166204+6 3.850000-5 1.286468+6 4.365158-5 1.751873+6 4.570882-5 1.950352+6 4.731513-5 2.103032+6 4.900000-5 2.257328+6 5.080000-5 2.412900+6 5.248075-5 2.547128+6 5.450000-5 2.692700+6 5.650000-5 2.819412+6 5.850000-5 2.929052+6 6.070000-5 3.030264+6 6.309573-5 3.118892+6 6.606934-5 3.202247+6 6.918310-5 3.264942+6 7.328245-5 3.318692+6 7.762471-5 3.347547+6 8.300000-5 3.354220+6 8.810489-5 3.339765+6 9.332543-5 3.306636+6 9.900000-5 3.250556+6 1.047129-4 3.175137+6 1.109175-4 3.076088+6 1.170000-4 2.965248+6 1.230269-4 2.845998+6 1.303300-4 2.696075+6 1.380384-4 2.537999+6 1.462177-4 2.374581+6 1.566751-4 2.177229+6 1.678804-4 1.982178+6 1.778279-4 1.822022+6 1.900000-4 1.642468+6 2.018366-4 1.483946+6 2.162719-4 1.311300+6 2.317395-4 1.150720+6 2.511886-4 9.803196+5 2.691535-4 8.495636+5 2.917427-4 7.134691+5 3.126079-4 6.103368+5 3.388442-4 5.048586+5 3.700000-4 4.071400+5 4.027170-4 3.288130+5 4.415704-4 2.586346+5 4.850000-4 2.007736+5 5.370318-4 1.512068+5 5.888437-4 1.162519+5 6.456542-4 8.877529+4 7.079458-4 6.737388+4 7.800000-4 5.010360+4 8.511380-4 3.817168+4 9.440609-4 2.745758+4 1.059254-3 1.889677+4 1.188502-3 1.290468+4 1.333521-3 8.747220+3 1.500000-3 5.835720+3 1.698244-3 3.778059+3 1.927525-3 2.405395+3 2.187762-3 1.520047+3 2.483133-3 9.535619+2 2.818383-3 5.938760+2 3.198895-3 3.672767+2 3.630781-3 2.255588+2 4.120975-3 1.375503+2 4.677351-3 8.329187+1 5.308844-3 5.008237+1 6.025596-3 2.990381+1 6.918310-3 1.690370+1 8.000000-3 9.202280+0 9.225714-3 5.031875+0 1.135011-2 2.069705+0 1.368540-2 9.214653-1 1.640590-2 4.176786-1 2.000000-2 1.746253-1 2.454709-2 7.021694-2 3.198895-2 2.143823-2 5.623413-2 1.696601-3 7.079458-2 6.062257-4 8.609938-2 2.545183-4 1.011580-1 1.253755-4 1.174898-1 6.541022-5 1.348963-1 3.613387-5 1.531088-1 2.112033-5 1.737801-1 1.243913-5 1.949845-1 7.742494-6 2.187762-1 4.854602-6 2.426610-1 3.211084-6 2.691535-1 2.138744-6 2.985383-1 1.435065-6 3.273407-1 1.013480-6 3.589219-1 7.206461-7 3.935501-1 5.161069-7 4.315191-1 3.726893-7 4.731513-1 2.710461-7 5.308844-1 1.835210-7 5.821032-1 1.353134-7 6.237348-1 1.083139-7 6.760830-1 8.413467-8 7.328245-1 6.581914-8 8.511380-1 4.220333-8 8.912509-1 3.696462-8 9.332543-1 3.256482-8 9.772372-1 2.889161-8 1.011579+0 2.655519-8 1.059254+0 2.389415-8 1.109175+0 2.164655-8 1.161449+0 1.973085-8 1.230269+0 1.770842-8 1.333521+0 1.536180-8 1.479108+0 1.291238-8 1.840772+0 8.898338-9 2.065380+0 7.363828-9 2.317395+0 6.141629-9 2.630268+0 5.070267-9 3.019952+0 4.146764-9 3.507519+0 3.359359-9 4.120975+0 2.699929-9 4.897788+0 2.153933-9 5.888437+0 1.706502-9 7.161434+0 1.343053-9 8.912509+0 1.036258-9 1.100000+1 8.12960-10 1.445440+1 5.98233-10 1.927525+1 4.36495-10 2.570396+1 3.20661-10 3.758374+1 2.14939-10 6.165950+1 1.28789-10 1.135011+2 6.91205-11 2.264644+2 3.43696-11 9.015711+2 8.58900-12 1.000000+5 7.72790-14 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.737000-5 1.566900-5 1.000000+5 1.566900-5 1 31000 7 7 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.737000-5 1.32000-10 1.000000+5 1.32000-10 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.737000-5 1.170087-5 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.687000-5 1.589040+6 2.740000-5 1.533810+6 2.800000-5 1.485786+6 2.860000-5 1.450800+6 2.920000-5 1.428066+6 2.980000-5 1.416126+6 3.040000-5 1.414230+6 3.100000-5 1.421370+6 3.170000-5 1.440126+6 3.235937-5 1.467207+6 3.311311-5 1.508385+6 3.400000-5 1.569426+6 3.500000-5 1.652808+6 3.610000-5 1.760130+6 3.758374-5 1.926817+6 4.315191-5 2.692074+6 4.518559-5 2.992008+6 4.677351-5 3.222122+6 4.850000-5 3.462858+6 5.011872-5 3.675785+6 5.188000-5 3.890207+6 5.370318-5 4.090919+6 5.580000-5 4.293606+6 5.800000-5 4.474002+6 6.025596-5 4.626789+6 6.237348-5 4.743501+6 6.531306-5 4.868511+6 6.839116-5 4.960931+6 7.161434-5 5.024398+6 7.585776-5 5.070119+6 8.035261-5 5.084944+6 8.609938-5 5.064633+6 9.120108-5 5.016420+6 9.660509-5 4.937865+6 1.023293-4 4.828376+6 1.083927-4 4.685157+6 1.135011-4 4.546277+6 1.202264-4 4.347381+6 1.273503-4 4.126212+6 1.350000-4 3.885030+6 1.445440-4 3.592523+6 1.548817-4 3.294810+6 1.659587-4 2.999159+6 1.778279-4 2.710447+6 1.883649-4 2.475389+6 2.018366-4 2.203124+6 2.150000-4 1.966824+6 2.317395-4 1.705425+6 2.511886-4 1.451968+6 2.730000-4 1.219668+6 2.917427-4 1.055115+6 3.162278-4 8.781314+5 3.388442-4 7.454107+5 3.715352-4 5.946971+5 4.100000-4 4.629702+5 4.466836-4 3.694703+5 4.850000-4 2.955324+5 5.308844-4 2.297825+5 5.888437-4 1.708892+5 6.500000-4 1.278348+5 7.244360-4 9.219938+4 8.000000-4 6.792360+4 8.912509-4 4.833067+4 1.000000-3 3.337278+4 1.122018-3 2.285754+4 1.258925-3 1.553391+4 1.412538-3 1.047855+4 1.603245-3 6.740850+3 1.819701-3 4.301285+3 2.065380-3 2.723178+3 2.344229-3 1.711282+3 2.660725-3 1.067494+3 3.019952-3 6.611377+2 3.427678-3 4.066808+2 3.890451-3 2.483754+2 4.415704-3 1.506038+2 5.011872-3 9.065651+1 5.688529-3 5.416668+1 6.456542-3 3.213765+1 7.413102-3 1.804884+1 8.511380-3 1.006111+1 1.000000-2 5.047320+0 1.188502-2 2.390861+0 1.428894-2 1.068754+0 1.717908-2 4.741143-1 2.065380-2 2.088025-1 2.570396-2 7.810216-2 3.427678-2 2.122490-2 6.025596-2 1.633666-3 7.498942-2 6.083604-4 9.015711-2 2.666856-4 1.071519-1 1.240610-4 1.230269-1 6.771535-5 1.396368-1 3.914721-5 1.566751-1 2.395357-5 1.737801-1 1.549498-5 1.927525-1 1.009239-5 2.137962-1 6.620702-6 2.344229-1 4.583235-6 2.540973-1 3.342735-6 2.754229-1 2.453723-6 3.000000-1 1.781000-6 3.235937-1 1.349923-6 3.507519-1 1.011750-6 3.801894-1 7.633528-7 4.216965-1 5.356733-7 4.518559-1 4.254383-7 4.841724-1 3.400324-7 5.069907-1 2.941164-7 5.432503-1 2.383344-7 5.888437-1 1.879781-7 6.456542-1 1.444391-7 6.998420-1 1.155124-7 7.585776-1 9.301648-8 8.511380-1 6.880876-8 9.015711-1 5.950930-8 9.549926-1 5.181529-8 1.000000+0 4.665000-8 1.059254+0 4.119878-8 1.122018+0 3.659007-8 1.188600+0 3.267800-8 1.288250+0 2.815336-8 1.412538+0 2.391448-8 1.737801+0 1.674527-8 1.972423+0 1.356183-8 2.213095+0 1.127618-8 2.483133+0 9.444656-9 2.818383+0 7.828999-9 3.273407+0 6.321178-9 3.801894+0 5.142014-9 4.466836+0 4.148459-9 5.308844+0 3.321426-9 6.382635+0 2.640096-9 7.762471+0 2.084266-9 9.772372+0 1.591121-9 1.258925+1 1.192876-9 1.659587+1 8.78000-10 2.264644+1 6.27148-10 3.427678+1 4.04480-10 5.495409+1 2.47779-10 9.549926+1 1.40777-10 1.905461+2 6.99089-11 7.585776+2 1.74503-11 4.786301+4 2.75949-13 1.000000+5 1.32070-13 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.687000-5 1.608600-5 1.000000+5 1.608600-5 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.687000-5 1.078400-5 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.169000-5 1.232568+6 1.188502-5 1.096065+6 1.216186-5 9.257787+5 1.252000-5 7.421860+5 1.280000-5 6.233440+5 1.310000-5 5.154800+5 1.335000-5 4.390060+5 1.360000-5 3.728500+5 1.385000-5 3.156240+5 1.410000-5 2.662120+5 1.435000-5 2.235960+5 1.455000-5 1.938034+5 1.479108-5 1.623634+5 1.500000-5 1.386232+5 1.522000-5 1.167422+5 1.540000-5 1.009718+5 1.555000-5 8.915780+4 1.570000-5 7.845160+4 1.585000-5 6.876760+4 1.600000-5 6.002580+4 1.615000-5 5.215620+4 1.630000-5 4.509020+4 1.645000-5 3.876600+4 1.660000-5 3.312640+4 1.675000-5 2.811860+4 1.685000-5 2.510700+4 1.698244-5 2.149417+4 1.710000-5 1.862408+4 1.720000-5 1.641712+4 1.732100-5 1.401776+4 1.740000-5 1.260290+4 1.750000-5 1.097482+4 1.760000-5 9.519720+3 1.774000-5 7.755880+3 1.811000-5 4.469540+3 1.819701-5 3.956384+3 1.826000-5 3.640860+3 1.832000-5 3.382420+3 1.837000-5 3.197340+3 1.842000-5 3.039020+3 1.847000-5 2.906720+3 1.852000-5 2.799720+3 1.857000-5 2.717320+3 1.862000-5 2.658820+3 1.866000-5 2.628760+3 1.870000-5 2.613240+3 1.873000-5 2.610940+3 1.877000-5 2.620060+3 1.881000-5 2.642820+3 1.885000-5 2.678900+3 1.890000-5 2.742260+3 1.896000-5 2.844360+3 1.902000-5 2.973920+3 1.907000-5 3.102180+3 1.912000-5 3.248340+3 1.920000-5 3.518080+3 1.931000-5 3.957740+3 1.965000-5 5.769680+3 1.980000-5 6.761420+3 1.995262-5 7.875897+3 2.010000-5 9.043580+3 2.025000-5 1.031558+4 2.040000-5 1.166366+4 2.055000-5 1.308018+4 2.070000-5 1.455806+4 2.085000-5 1.609068+4 2.100000-5 1.767198+4 2.115000-5 1.929624+4 2.130000-5 2.095820+4 2.150000-5 2.322440+4 2.170600-5 2.560865+4 2.190000-5 2.789080+4 2.213095-5 3.064351+4 2.240000-5 3.388420+4 2.270000-5 3.752180+4 2.300000-5 4.116600+4 2.330000-5 4.479960+4 2.360000-5 4.840900+4 2.398833-5 5.302543+4 2.435000-5 5.725180+4 2.473400-5 6.164609+4 2.520000-5 6.683220+4 2.570396-5 7.224190+4 2.613100-5 7.665291+4 2.670000-5 8.227280+4 2.730000-5 8.787260+4 2.800000-5 9.397940+4 2.870000-5 9.963260+4 2.951209-5 1.056398+5 3.040000-5 1.115612+5 3.126079-5 1.166948+5 3.235937-5 1.224412+5 3.350000-5 1.275294+5 3.467369-5 1.319155+5 3.610000-5 1.362284+5 3.758374-5 1.396665+5 3.935501-5 1.425783+5 4.120975-5 1.444677+5 4.315191-5 1.453995+5 4.518559-5 1.454348+5 4.731513-5 1.446442+5 5.011872-5 1.426230+5 5.308844-5 1.395985+5 5.650000-5 1.353466+5 6.025596-5 1.300751+5 6.456542-5 1.236697+5 6.918310-5 1.167103+5 7.500000-5 1.081928+5 8.128305-5 9.958439+4 8.912509-5 8.988995+4 9.885531-5 7.952283+4 1.122018-4 6.794879+4 1.303167-4 5.596251+4 1.531087-4 4.505446+4 2.426610-4 2.380065+4 2.818383-4 1.924923+4 3.235937-4 1.569984+4 3.801894-4 1.227835+4 4.570882-4 9.196929+3 5.821032-4 6.242060+3 6.839116-4 4.784855+3 8.035261-4 3.637372+3 9.885531-4 2.534252+3 1.161449-3 1.899938+3 1.364583-3 1.414354+3 1.621810-3 1.022940+3 1.905461-3 7.505036+2 2.238721-3 5.466181+2 2.630268-3 3.952527+2 3.126079-3 2.770862+2 3.672823-3 1.974796+2 4.365158-3 1.363216+2 5.128614-3 9.574479+1 6.309573-3 6.020234+1 7.244360-3 4.386730+1 8.413951-3 3.088971+1 9.772372-3 2.158894+1 1.148154-2 1.457651+1 1.348963-2 9.766231+0 1.584893-2 6.493112+0 1.862087-2 4.284434+0 2.187762-2 2.806080+0 2.570396-2 1.824568+0 3.054921-2 1.141578+0 3.630781-2 7.086583-1 4.365158-2 4.228021-1 5.188000-2 2.587048-1 6.382635-2 1.422400-1 8.035261-2 7.256655-2 1.023293-1 3.553166-2 1.798871-1 6.613486-3 2.317395-1 3.129871-3 2.722701-1 1.957726-3 3.162278-1 1.275755-3 3.589219-1 8.942095-4 4.027170-1 6.518129-4 4.518559-1 4.787346-4 5.011872-1 3.652416-4 5.559043-1 2.807584-4 6.095369-1 2.237004-4 6.683439-1 1.794432-4 7.328245-1 1.449123-4 8.035261-1 1.178255-4 8.810489-1 9.642910-5 9.660509-1 7.952616-5 1.083927+0 6.312520-5 1.216186+0 5.042282-5 1.348963+0 4.150772-5 1.500000+0 3.427200-5 1.678804+0 2.818587-5 1.905461+0 2.280392-5 2.137962+0 1.892693-5 2.398833+0 1.582069-5 2.722701+0 1.308766-5 3.162278+0 1.054765-5 3.672823+0 8.564978-6 4.315191+0 6.898956-6 5.128614+0 5.515376-6 6.165950+0 4.377926-6 7.498942+0 3.451660-6 9.440609+0 2.631884-6 1.188502+1 2.022746-6 1.566751+1 1.486235-6 2.187762+1 1.034159-6 3.273407+1 6.746188-7 5.128614+1 4.228588-7 8.810489+1 2.428505-7 1.757924+2 1.205319-7 3.507519+2 6.013561-8 2.786121+3 7.537560-9 1.000000+5 2.09890-10 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.169000-5 1.169000-5 1.000000+5 1.169000-5 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.169000-5 0.0 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 5.000000-6 6.611860+6 5.308844-6 5.888077+6 5.888437-6 4.774576+6 6.531306-6 3.837636+6 7.079458-6 3.219998+6 7.852356-6 2.549373+6 8.609938-6 2.056148+6 9.440609-6 1.644874+6 1.023293-5 1.343843+6 1.109175-5 1.090224+6 1.202264-5 8.783948+5 1.288250-5 7.252953+5 1.396368-5 5.757516+5 1.500000-5 4.658529+5 1.610000-5 3.754163+5 1.737801-5 2.952255+5 1.883649-5 2.273547+5 2.041738-5 1.736962+5 2.213095-5 1.317234+5 2.400000-5 9.906557+4 2.660725-5 6.837334+4 3.019952-5 4.297822+4 3.548134-5 2.374042+4 3.845918-5 1.775500+4 4.073803-5 1.451494+4 4.300000-5 1.209739+4 4.500000-5 1.045056+4 4.677351-5 9.282710+3 4.850000-5 8.354858+3 5.011872-5 7.636854+3 5.188000-5 6.990708+3 5.370318-5 6.441806+3 5.559043-5 5.977793+3 5.754399-5 5.587563+3 5.956621-5 5.260231+3 6.165950-5 4.986219+3 6.400000-5 4.741862+3 6.650000-5 4.537262+3 6.918310-5 4.365789+3 7.244360-5 4.206303+3 7.650000-5 4.059129+3 8.128305-5 3.930075+3 1.059254-4 3.505474+3 1.174898-4 3.330082+3 1.303167-4 3.140877+3 1.445440-4 2.940252+3 1.609000-4 2.727769+3 1.778279-4 2.525260+3 1.972423-4 2.314421+3 2.213095-4 2.088294+3 2.426610-4 1.911071+3 2.660725-4 1.737129+3 2.917427-4 1.567244+3 3.090295-4 1.462291+3 3.388442-4 1.298817+3 3.715352-4 1.145230+3 4.073803-4 1.002893+3 4.518559-4 8.572005+2 5.069907-4 7.143040+2 5.623413-4 6.026963+2 6.165950-4 5.148324+2 6.760830-4 4.367407+2 7.413102-4 3.679048+2 8.222426-4 3.010911+2 9.225714-4 2.392066+2 1.023293-3 1.932757+2 1.135011-3 1.549961+2 1.258925-3 1.234244+2 1.396368-3 9.762216+1 1.566751-3 7.466731+1 1.757924-3 5.668188+1 1.972423-3 4.271119+1 2.213095-3 3.195479+1 2.570396-3 2.171120+1 2.884032-3 1.605103+1 3.162278-3 1.252687+1 3.548134-3 9.122259+0 4.027170-3 6.386187+0 4.570882-3 4.440555+0 5.188000-3 3.065658+0 5.888437-3 2.101619+0 6.683439-3 1.430820+0 7.585776-3 9.675209-1 8.609938-3 6.497494-1 9.885531-3 4.177666-1 1.161449-2 2.475389-1 1.348963-2 1.511313-1 1.566751-2 9.160415-2 1.840772-2 5.300741-2 2.162719-2 3.045021-2 2.630268-2 1.540105-2 3.162278-2 8.051990-3 3.935501-2 3.696987-3 5.188000-2 1.371141-3 9.332543-2 1.648676-4 1.188502-1 6.937190-5 1.428894-1 3.612884-5 1.678804-1 2.056152-5 1.949845-1 1.227463-5 2.238721-1 7.681619-6 2.540973-1 5.035847-6 2.851018-1 3.454525-6 3.162278-1 2.476479-6 3.507519-1 1.786856-6 3.890451-1 1.298024-6 4.315191-1 9.497142-7 4.786301-1 7.001343-7 5.308844-1 5.202400-7 5.821032-1 4.023307-7 6.382635-1 3.133450-7 6.998420-1 2.457979-7 7.673615-1 1.941968-7 8.609938-1 1.455593-7 9.225714-1 1.232795-7 9.772372-1 1.080507-7 1.035142+0 9.536510-8 1.109175+0 8.264876-8 1.188600+0 7.215300-8 1.303167+0 6.088557-8 1.462177+0 4.962998-8 1.698244+0 3.832080-8 1.927525+0 3.100347-8 2.162719+0 2.574350-8 2.426610+0 2.153252-8 2.754229+0 1.782481-8 3.198895+0 1.437457-8 3.715352+0 1.167972-8 4.365158+0 9.413093-9 5.188000+0 7.529107-9 6.237348+0 5.979110-9 7.585776+0 4.716224-9 9.549926+0 3.597410-9 1.216186+1 2.730141-9 1.603245+1 2.007432-9 2.213095+1 1.415004-9 3.349654+1 9.12237-10 5.308844+1 5.65264-10 9.225714+1 3.21004-10 1.840772+2 1.59373-10 7.328245+2 3.97710-11 1.161449+4 2.50322-12 1.000000+5 2.90760-13 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 5.000000-6 5.000000-6 1.000000+5 5.000000-6 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 5.000000-6 0.0 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 4.880000-6 1.327467+7 5.432503-6 1.065620+7 6.025596-6 8.555180+6 6.700000-6 6.776137+6 7.328245-6 5.528476+6 8.035261-6 4.455344+6 8.810489-6 3.565374+6 9.549926-6 2.914869+6 1.035142-5 2.367880+6 1.122018-5 1.910789+6 1.216186-5 1.530452+6 1.318257-5 1.216745+6 1.428894-5 9.596883+5 1.531087-5 7.779199+5 1.659587-5 6.042242+5 1.778279-5 4.835333+5 1.905461-5 3.846354+5 2.070000-5 2.902195+5 2.238721-5 2.208390+5 2.454709-5 1.589806+5 2.754229-5 1.045665+5 3.349654-5 5.097804+4 3.589219-5 3.976520+4 3.801894-5 3.250823+4 4.000000-5 2.737361+4 4.168694-5 2.392870+4 4.350000-5 2.096041+4 4.518559-5 1.873798+4 4.677351-5 1.702074+4 4.850000-5 1.548781+4 5.011872-5 1.430714+4 5.188000-5 1.324902+4 5.370318-5 1.235343+4 5.559043-5 1.159911+4 5.754399-5 1.096742+4 5.956621-5 1.043986+4 6.165950-5 9.999955+3 6.400000-5 9.608538+3 6.683439-5 9.241082+3 7.000000-5 8.928204+3 7.413102-5 8.624307+3 8.000000-5 8.311537+3 9.885531-5 7.596285+3 1.100000-4 7.205137+3 1.216186-4 6.802213+3 1.348963-4 6.360698+3 1.500000-4 5.891790+3 1.678804-4 5.388540+3 1.862087-4 4.930282+3 2.137962-4 4.339532+3 2.371374-4 3.914958+3 2.600160-4 3.548623+3 2.851018-4 3.193800+3 3.054921-4 2.934528+3 3.349654-4 2.598335+3 3.672823-4 2.284260+3 4.027170-4 1.994784+3 4.466836-4 1.699988+3 5.011872-4 1.411861+3 5.559043-4 1.187989+3 6.095369-4 1.012496+3 6.683439-4 8.569316+2 7.328245-4 7.203868+2 8.317638-4 5.621358+2 9.225714-4 4.558239+2 1.023293-3 3.670676+2 1.135011-3 2.935258+2 1.258925-3 2.329463+2 1.412538-3 1.787525+2 1.584893-3 1.361436+2 1.778279-3 1.029495+2 2.000000-3 7.680954+1 2.238721-3 5.752429+1 2.511886-3 4.251668+1 2.851018-3 3.025360+1 3.273407-3 2.070295+1 3.715352-3 1.451344+1 4.216965-3 1.009939+1 4.786301-3 6.976295+0 5.432503-3 4.784374+0 6.165950-3 3.257956+0 6.998420-3 2.203100+0 8.000000-3 1.446507+0 9.120108-3 9.506057-1 1.059254-2 5.838130-1 1.230269-2 3.559210-1 1.428894-2 2.153508-1 1.659587-2 1.293102-1 1.949845-2 7.406870-2 2.290868-2 4.210674-2 2.722701-2 2.281660-2 3.235937-2 1.227436-2 3.981072-2 5.784376-3 5.069907-2 2.384312-3 6.683439-2 8.592645-4 1.011580-1 1.854110-4 1.244515-1 8.657411-5 1.479108-1 4.620874-5 1.717908-1 2.699798-5 1.949845-1 1.724701-5 2.213095-1 1.109762-5 2.483133-1 7.488180-6 2.754229-1 5.291975-6 3.054921-1 3.767484-6 3.349654-1 2.804394-6 3.672823-1 2.101768-6 4.027170-1 1.586708-6 4.415705-1 1.207302-6 4.786301-1 9.568402-7 5.188000-1 7.632608-7 5.623413-1 6.129035-7 6.095369-1 4.954871-7 6.606935-1 4.033633-7 7.161434-1 3.306061-7 7.762471-1 2.728089-7 8.511380-1 2.207219-7 9.225714-1 1.847286-7 1.000000+0 1.557700-7 1.096478+0 1.292363-7 1.202264+0 1.079852-7 1.333521+0 8.897171-8 1.479108+0 7.381518-8 1.659587+0 6.041240-8 1.883649+0 4.883623-8 2.137962+0 3.976539-8 2.398833+0 3.323767-8 2.722701+0 2.749654-8 3.162278+0 2.216133-8 3.672823+0 1.799617-8 4.315191+0 1.449593-8 5.128614+0 1.158870-8 6.165950+0 9.198425-9 7.498942+0 7.252314-9 9.440609+0 5.529808-9 1.188502+1 4.249911-9 1.584893+1 3.083482-9 2.213095+1 2.146154-9 3.349654+1 1.383560-9 5.308844+1 8.57360-10 9.225714+1 4.86885-10 1.840772+2 2.41724-10 7.328245+2 6.03222-11 2.317395+4 1.90370-12 1.000000+5 4.41010-13 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 4.880000-6 4.880000-6 1.000000+5 4.880000-6 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 4.880000-6 0.0 1.000000+5 1.000000+5 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 4.614490-8 1.028750+0 4.614490-7 1.031000+0 1.086730-6 1.032000+0 1.486920-6 1.033200+0 2.082920-6 1.034000+0 2.556980-6 1.035300+0 3.470730-6 1.036640+0 4.614490-6 1.038200+0 6.227400-6 1.039700+0 8.090650-6 1.041500+0 1.076450-5 1.043800+0 1.494150-5 1.046400+0 2.078830-5 1.048300+0 2.588200-5 1.051200+0 3.510840-5 1.054080+0 4.614490-5 1.057700+0 6.289840-5 1.061100+0 8.181500-5 1.065100+0 1.083140-4 1.070400+0 1.511090-4 1.076200+0 2.088320-4 1.080600+0 2.607980-4 1.087100+0 3.513810-4 1.093710+0 4.614490-4 1.102600+0 6.397920-4 1.110700+0 8.344130-4 1.120600+0 1.116190-3 1.133300+0 1.551990-3 1.147500+0 2.142830-3 1.158200+0 2.663000-3 1.174100+0 3.559180-3 1.190110+0 4.614490-3 1.205100+0 5.743930-3 1.227500+0 7.687540-3 1.250000+0 9.935000-3 1.265600+0 1.165420-2 1.294900+0 1.521310-2 1.331800+0 2.024930-2 1.362600+0 2.487160-2 1.411700+0 3.294180-2 1.455800+0 4.086220-2 1.500000+0 4.944000-2 1.562500+0 6.270360-2 1.617200+0 7.536880-2 1.712900+0 9.967990-2 1.784700+0 1.194830-1 1.892300+0 1.510510-1 2.000000+0 1.840000-1 2.044000+0 1.976000-1 2.163500+0 2.351120-1 2.372600+0 3.022030-1 2.647100+0 3.910250-1 3.000000+0 5.036000-1 3.437500+0 6.375550-1 4.000000+0 7.994000-1 4.750000+0 9.978950-1 5.000000+0 1.060000+0 6.000000+0 1.290000+0 7.000000+0 1.496000+0 8.000000+0 1.680000+0 9.000000+0 1.848000+0 1.000000+1 1.999000+0 1.100000+1 2.137000+0 1.200000+1 2.263000+0 1.300000+1 2.379000+0 1.400000+1 2.487000+0 1.500000+1 2.588000+0 1.600000+1 2.683000+0 1.800000+1 2.858000+0 2.000000+1 3.013000+0 2.200000+1 3.154000+0 2.400000+1 3.282000+0 2.600000+1 3.398000+0 2.800000+1 3.506000+0 3.000000+1 3.604000+0 4.000000+1 4.008000+0 5.000000+1 4.309000+0 6.000000+1 4.545000+0 8.000000+1 4.894000+0 1.000000+2 5.143000+0 1.500000+2 5.539000+0 2.000000+2 5.775000+0 3.000000+2 6.050000+0 4.000000+2 6.209000+0 5.000000+2 6.313000+0 6.000000+2 6.387000+0 8.000000+2 6.486000+0 1.000000+3 6.550000+0 1.500000+3 6.643000+0 2.000000+3 6.693000+0 3.000000+3 6.748000+0 4.000000+3 6.777000+0 5.000000+3 6.796000+0 6.000000+3 6.809000+0 8.000000+3 6.825000+0 1.000000+4 6.836000+0 1.500000+4 6.850000+0 2.000000+4 6.858000+0 3.000000+4 6.867000+0 4.000000+4 6.871000+0 5.000000+4 6.874000+0 6.000000+4 6.876000+0 8.000000+4 6.878000+0 1.000000+5 6.879000+0 1 31000 7 8 6.972000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 3.113490-7 2.106600+0 1.014410-6 2.114000+0 1.403560-6 2.119500+0 1.747430-6 2.127900+0 2.369840-6 2.136250+0 3.113490-6 2.147000+0 4.268810-6 2.156900+0 5.544680-6 2.169000+0 7.399720-6 2.184500+0 1.028590-5 2.201800+0 1.423080-5 2.214800+0 1.773040-5 2.234200+0 2.385060-5 2.253680+0 3.113490-5 2.281500+0 4.360990-5 2.307000+0 5.728150-5 2.338200+0 7.701990-5 2.377400+0 1.066630-4 2.410200+0 1.356580-4 2.446800+0 1.725640-4 2.485900+0 2.172680-4 2.532900+0 2.780570-4 2.556430+0 3.113490-4 2.611900+0 3.970050-4 2.660400+0 4.799590-4 2.745300+0 6.423960-4 2.809000+0 7.779800-4 2.904500+0 1.002240-3 3.000000+0 1.251000-3 3.125000+0 1.613090-3 3.234400+0 1.962720-3 3.425800+0 2.642970-3 3.569300+0 3.204820-3 3.784700+0 4.119900-3 4.000000+0 5.104000-3 4.250000+0 6.307860-3 4.625000+0 8.201120-3 5.000000+0 1.017000-2 5.500000+0 1.287200-2 6.000000+0 1.561000-2 6.750000+0 1.968700-2 7.000000+0 2.103000-2 8.000000+0 2.629000-2 9.000000+0 3.132000-2 1.000000+1 3.611000-2 1.100000+1 4.064000-2 1.200000+1 4.492000-2 1.300000+1 4.896000-2 1.400000+1 5.281000-2 1.500000+1 5.645000-2 1.600000+1 5.991000-2 1.800000+1 6.635000-2 2.000000+1 7.221000-2 2.200000+1 7.759000-2 2.400000+1 8.254000-2 2.600000+1 8.712000-2 2.800000+1 9.137000-2 3.000000+1 9.534000-2 4.000000+1 1.118000-1 5.000000+1 1.244000-1 6.000000+1 1.345000-1 8.000000+1 1.497000-1 1.000000+2 1.608000-1 1.500000+2 1.793000-1 2.000000+2 1.909000-1 3.000000+2 2.052000-1 4.000000+2 2.138000-1 5.000000+2 2.197000-1 6.000000+2 2.241000-1 8.000000+2 2.301000-1 1.000000+3 2.341000-1 1.500000+3 2.400000-1 2.000000+3 2.434000-1 3.000000+3 2.471000-1 4.000000+3 2.493000-1 5.000000+3 2.506000-1 6.000000+3 2.515000-1 8.000000+3 2.528000-1 1.000000+4 2.536000-1 1.500000+4 2.546000-1 2.000000+4 2.553000-1 3.000000+4 2.559000-1 4.000000+4 2.563000-1 5.000000+4 2.565000-1 6.000000+4 2.566000-1 8.000000+4 2.568000-1 1.000000+5 2.569000-1 1 31000 7 8 6.972000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 31000 7 9 6.972000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 3.100000+1 1.000000+5 3.100000+1 5.000000+5 3.097900+1 8.750000+5 3.096120+1 1.000000+6 3.095700+1 1.500000+6 3.093200+1 2.000000+6 3.088100+1 2.500000+6 3.081500+1 3.000000+6 3.073500+1 3.500000+6 3.064080+1 4.000000+6 3.053900+1 4.500000+6 3.042830+1 5.000000+6 3.030600+1 5.687500+6 3.011490+1 6.437500+6 2.988600+1 6.500000+6 2.986590+1 7.000000+6 2.970600+1 7.500000+6 2.953830+1 8.250000+6 2.927780+1 9.000000+6 2.901600+1 9.750000+6 2.874630+1 1.000000+7 2.865700+1 1.109400+7 2.824460+1 1.187500+7 2.794470+1 1.203100+7 2.788490+1 1.250000+7 2.770300+1 1.375000+7 2.721510+1 1.500000+7 2.674000+1 1.687500+7 2.604720+1 1.750000+7 2.581900+1 2.000000+7 2.490700+1 2.250000+7 2.402050+1 2.500000+7 2.315700+1 2.750000+7 2.231010+1 3.000000+7 2.147300+1 3.343800+7 2.033400+1 3.718800+7 1.912390+1 3.750000+7 1.902540+1 4.000000+7 1.824600+1 4.250000+7 1.748840+1 4.500000+7 1.675680+1 4.625000+7 1.640100+1 5.000000+7 1.537400+1 5.500000+7 1.410170+1 5.750000+7 1.351120+1 6.000000+7 1.295100+1 6.750000+7 1.145040+1 7.000000+7 1.101100+1 8.000000+7 9.535100+0 8.750000+7 8.688390+0 9.000000+7 8.447300+0 9.750000+7 7.827780+0 1.000000+8 7.649900+0 1.062500+8 7.257150+0 1.125000+8 6.922980+0 1.156300+8 6.773400+0 1.250000+8 6.382100+0 1.437500+8 5.763850+0 1.500000+8 5.583700+0 1.625000+8 5.237320+0 1.718800+8 4.980410+0 1.750000+8 4.894130+0 1.815400+8 4.712960+0 1.881300+8 4.528370+0 1.960400+8 4.303880+0 2.000000+8 4.190700+0 2.062500+8 4.011930+0 2.335900+8 3.323600+0 2.375000+8 3.244310+0 2.445300+8 3.115410+0 2.500000+8 3.027600+0 2.781300+8 2.672430+0 2.859400+8 2.574320+0 2.875000+8 2.553960+0 2.929700+8 2.479690+0 3.000000+8 2.377400+0 3.062500+8 2.280190+0 3.308600+8 1.918740+0 3.377000+8 1.838830+0 3.459000+8 1.759620+0 3.500000+8 1.727200+0 3.562500+8 1.687080+0 3.617200+8 1.659160+0 3.712900+8 1.621560+0 4.000000+8 1.534800+0 4.125000+8 1.488200+0 5.000000+8 1.150000+0 5.125000+8 1.119400+0 5.343800+8 1.075790+0 5.835900+8 9.984550-1 6.000000+8 9.733000-1 6.250000+8 9.328530-1 7.000000+8 8.182000-1 7.625000+8 7.421400-1 7.875000+8 7.122820-1 8.000000+8 6.969000-1 8.250000+8 6.649080-1 8.564500+8 6.237810-1 8.827600+8 5.896200-1 9.246300+8 5.374500-1 9.748800+8 4.802160-1 1.000000+9 4.542000-1 1.089800+9 3.745580-1 1.165000+9 3.208510-1 1.248800+9 2.715630-1 1.311600+9 2.404000-1 1.405800+9 2.010770-1 1.500000+9 1.688900-1 1.562500+9 1.507180-1 1.671900+9 1.240030-1 1.753900+9 1.075550-1 1.877000+9 8.743900-2 2.000000+9 7.169000-2 2.187500+9 5.379440-2 2.363300+9 4.175680-2 2.605300+9 3.013450-2 2.827400+9 2.279880-2 3.099000+9 1.659370-2 3.447500+9 1.140860-2 4.002000+9 6.700380-3 4.667300+9 3.845540-3 5.000000+9 2.995800-3 8.000000+9 5.426600-4 1.00000+10 2.421900-4 1.20500+10 1.244390-4 1.41820+10 7.003230-5 1.71170+10 3.633490-5 2.01490+10 2.069950-5 2.26440+10 1.388390-5 2.74790+10 7.203980-6 3.41360+10 3.481050-6 4.02450+10 2.015580-6 4.77140+10 1.150740-6 5.73000+10 6.328420-7 7.25500+10 2.947720-7 9.08500+10 1.432070-7 1.00000+11 1.054200-7 1.34280+11 4.138620-8 1.77440+11 1.722570-8 2.63330+11 5.036990-9 3.75720+11 1.683550-9 6.61190+11 3.00684-10 1.48990+12 2.62313-11 4.26460+12 1.17484-12 2.06510+13 1.19160-14 1.00000+14 1.23430-16 5.62340+14 7.97299-19 7.49890+15 3.84157-22 1.00000+17 1.76540-25 1 31000 7 0 6.972000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 4.40000-12 1.000000+2 4.40000-10 1.000000+3 4.400000-8 1.000000+4 4.400000-6 1.000000+5 4.400000-4 5.000000+5 1.100000-2 8.750000+5 3.368750-2 1.000000+6 4.400000-2 1.500000+6 9.820000-2 2.000000+6 1.727000-1 2.500000+6 2.663000-1 3.000000+6 3.773000-1 3.500000+6 5.039570-1 4.000000+6 6.444000-1 4.500000+6 7.967210-1 5.000000+6 9.590000-1 5.687500+6 1.194930+0 6.437500+6 1.464630+0 6.500000+6 1.487560+0 7.000000+6 1.672400+0 7.500000+6 1.859150+0 8.250000+6 2.140910+0 9.000000+6 2.421800+0 9.750000+6 2.699340+0 1.000000+7 2.791000+0 1.109400+7 3.184860+0 1.187500+7 3.458680+0 1.203100+7 3.512320+0 1.250000+7 3.672600+0 1.375000+7 4.086420+0 1.500000+7 4.483000+0 1.687500+7 5.049620+0 1.750000+7 5.232600+0 2.000000+7 5.939000+0 2.250000+7 6.619660+0 2.500000+7 7.287400+0 2.750000+7 7.946640+0 3.000000+7 8.599000+0 3.343800+7 9.478190+0 3.718800+7 1.040810+1 3.750000+7 1.048410+1 4.000000+7 1.108200+1 4.250000+7 1.166030+1 4.500000+7 1.222140+1 4.625000+7 1.249450+1 5.000000+7 1.329000+1 5.500000+7 1.429190+1 5.750000+7 1.476910+1 6.000000+7 1.523300+1 6.750000+7 1.653850+1 7.000000+7 1.694700+1 8.000000+7 1.844500+1 8.750000+7 1.942930+1 9.000000+7 1.973400+1 9.750000+7 2.057240+1 1.000000+8 2.083100+1 1.062500+8 2.142800+1 1.125000+8 2.196840+1 1.156300+8 2.221970+1 1.250000+8 2.290700+1 1.437500+8 2.404290+1 1.500000+8 2.437000+1 1.625000+8 2.496560+1 1.718800+8 2.537000+1 1.750000+8 2.549860+1 1.815400+8 2.575230+1 1.881300+8 2.599400+1 1.960400+8 2.626940+1 2.000000+8 2.640000+1 2.062500+8 2.659430+1 2.335900+8 2.734150+1 2.375000+8 2.743290+1 2.445300+8 2.759360+1 2.500000+8 2.771000+1 2.781300+8 2.821860+1 2.859400+8 2.834080+1 2.875000+8 2.836280+1 2.929700+8 2.843940+1 3.000000+8 2.853600+1 3.062500+8 2.861370+1 3.308600+8 2.888850+1 3.377000+8 2.895360+1 3.459000+8 2.902960+1 3.500000+8 2.906700+1 3.562500+8 2.911790+1 3.617200+8 2.916170+1 3.712900+8 2.923710+1 4.000000+8 2.943600+1 4.125000+8 2.951180+1 5.000000+8 2.994700+1 5.125000+8 2.999640+1 5.343800+8 3.008020+1 5.835900+8 3.024690+1 6.000000+8 3.029800+1 6.250000+8 3.036570+1 7.000000+8 3.054100+1 7.625000+8 3.064950+1 7.875000+8 3.068770+1 8.000000+8 3.070500+1 8.250000+8 3.073490+1 8.564500+8 3.076990+1 8.827600+8 3.079390+1 9.246300+8 3.083070+1 9.748800+8 3.086330+1 1.000000+9 3.087900+1 1.089800+9 3.091660+1 1.165000+9 3.093960+1 1.248800+9 3.095760+1 1.311600+9 3.096800+1 1.405800+9 3.097680+1 1.500000+9 3.098500+1 1.562500+9 3.098680+1 1.671900+9 3.098990+1 1.753900+9 3.099210+1 1.877000+9 3.099510+1 2.000000+9 3.099800+1 2.187500+9 3.099820+1 2.363300+9 3.099840+1 2.605300+9 3.099860+1 2.827400+9 3.099880+1 3.099000+9 3.099900+1 3.447500+9 3.099920+1 4.002000+9 3.099950+1 4.667300+9 3.099980+1 5.000000+9 3.100000+1 8.000000+9 3.100000+1 1.00000+10 3.100000+1 1.20500+10 3.100000+1 1.41820+10 3.100000+1 1.71170+10 3.100000+1 2.01490+10 3.100000+1 2.26440+10 3.100000+1 2.74790+10 3.100000+1 3.41360+10 3.100000+1 4.02450+10 3.100000+1 4.77140+10 3.100000+1 5.73000+10 3.100000+1 7.25500+10 3.100000+1 9.08500+10 3.100000+1 1.00000+11 3.100000+1 1.34280+11 3.100000+1 1.77440+11 3.100000+1 2.63330+11 3.100000+1 3.75720+11 3.100000+1 6.61190+11 3.100000+1 1.48990+12 3.100000+1 4.26460+12 3.100000+1 2.06510+13 3.100000+1 1.00000+14 3.100000+1 5.62340+14 3.100000+1 7.49890+15 3.100000+1 1.00000+17 3.100000+1 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.061616-6 0.0 2.069228-6 3.630235-1 2.071765-6 4.824963-1 2.076839-6 8.813190-1 2.081914-6 1.486025+0 2.087622-6 2.439012+0 2.096423-6 4.255037+0 2.102528-6 5.440630+0 2.107751-6 6.123772+0 2.113074-6 6.330816+0 2.118148-6 6.033470+0 2.123551-6 5.248687+0 2.132111-6 3.504783+0 2.137732-6 2.369225+0 2.143124-6 1.490949+0 2.147881-6 9.114660-1 2.152955-6 5.014049-1 2.160250-6 1.433705-1 2.163104-6 0.0 2.187049-6 0.0 2.195123-6 1.736652-1 2.197815-6 2.308193-1 2.203198-6 4.216104-1 2.208918-6 7.355623-1 2.214301-6 1.136639+0 2.223737-6 2.012712+0 2.230450-6 2.602719+0 2.236218-6 2.934840+0 2.241637-6 3.028571+0 2.246757-6 2.902202+0 2.252614-6 2.522861+0 2.261088-6 1.748536+0 2.267796-6 1.133403+0 2.273179-6 7.316855-1 2.278562-6 4.360322-1 2.283945-6 2.398649-1 2.292020-6 6.097463-2 2.294711-6 0.0 2.967118-6 0.0 2.974421-6 1.612722-7 2.981725-6 3.191133-7 2.986745-6 5.003048-7 2.989028-6 6.308349-7 2.996331-6 1.183446-6 3.001448-6 1.671851-6 3.003634-6 1.910943-6 3.008800-6 2.561132-6 3.032847-6 6.328501-6 3.040150-6 7.170711-6 3.047453-6 7.591884-6 3.054756-6 7.515206-6 3.062060-6 6.958155-6 3.069363-6 6.026044-6 3.083969-6 3.693870-6 3.092551-6 2.451359-6 3.098575-6 1.721887-6 3.104369-6 1.172456-6 3.111720-6 6.119620-7 3.112178-6 5.852591-7 3.113182-6 5.460428-7 3.119072-6 4.518903-7 3.127498-6 4.322340-7 3.133775-6 4.935050-7 3.135158-6 5.375232-7 3.142819-6 9.063379-7 3.150479-6 1.410707-6 3.173460-6 3.291552-6 3.181120-6 3.720173-6 3.188780-6 3.881320-6 3.196440-6 3.738089-6 3.204100-6 3.323333-6 3.227081-6 1.445008-6 3.234741-6 9.328469-7 3.242402-6 5.559100-7 3.250062-6 3.058107-7 3.257722-6 1.552940-7 3.265382-6 0.0 3.270374-6 0.0 3.270755-6 3.137372-3 3.286856-6 1.319037+0 3.294906-6 2.407747+0 3.302957-6 4.057322+0 3.312014-6 6.654930+0 3.325976-6 1.159996+1 3.335662-6 1.482418+1 3.343948-6 1.667844+1 3.352393-6 1.723545+1 3.360443-6 1.642013+1 3.369014-6 1.427940+1 3.382595-6 9.530184+0 3.391513-6 6.440403+0 3.396187-6 5.128210+0 3.400066-6 4.211338+0 3.407945-6 2.883584+0 3.412906-6 2.387106+0 3.416014-6 2.168223+0 3.421787-6 2.068884+0 3.429892-6 2.152821+0 3.432005-6 2.263163+0 3.439329-6 3.244371+0 3.462614-6 6.916204+0 3.472365-6 7.896303+0 3.480547-6 8.141239+0 3.488662-6 7.787990+0 3.497176-6 6.865130+0 3.521182-6 3.172085+0 3.529936-6 2.129825+0 3.538295-6 1.438720+0 3.546654-6 1.023476+0 3.558889-6 6.983991-1 3.562973-6 5.714378-1 3.567479-6 6.082365-1 3.576070-6 6.345835-1 3.584681-6 6.110019-1 3.593251-6 5.433544-1 3.612165-6 3.191344-1 3.615606-6 2.767084-1 3.619060-6 2.406948-1 3.627614-6 1.691404-1 3.633405-6 1.355252-1 3.636204-6 1.217781-1 3.642305-6 1.066669-1 3.644795-6 1.033790-1 3.651204-6 1.071800-1 3.660103-6 1.231064-1 3.661976-6 1.283470-1 3.686801-6 2.743014-1 3.695701-6 3.100205-1 3.704600-6 3.234497-1 3.713499-6 3.115136-1 3.722399-6 2.769499-1 3.735748-6 1.997735-1 3.749097-6 1.204197-1 3.757996-6 7.773877-2 3.766895-6 4.632675-2 3.775795-6 2.548472-2 3.789144-6 6.478320-3 3.793594-6 0.0 3.920902-6 0.0 3.921126-6 4.786812-4 3.940429-6 4.083618-1 3.950081-6 7.456649-1 3.959732-6 1.256917+0 3.970418-6 2.049807+0 3.998940-6 4.597170+0 4.008875-6 5.173322+0 4.018998-6 5.348004+0 4.028649-6 5.102113+0 4.038679-6 4.471907+0 4.062683-6 2.511543+0 4.067088-6 2.194814+0 4.076494-6 1.708371+0 4.085501-6 1.485571+0 4.095301-6 1.502413+0 4.114778-6 1.954738+0 4.126472-6 2.430821+0 4.137256-6 2.697609+0 4.147074-6 2.751429+0 4.157034-6 2.603088+0 4.168556-6 2.212012+0 4.193047-6 1.142034+0 4.198261-6 9.427082-1 4.205921-6 6.867056-1 4.215881-6 4.450141-1 4.222978-6 3.372169-1 4.225841-6 3.204514-1 4.240546-6 3.139649-1 4.243971-6 3.119968-1 4.245857-6 3.232295-1 4.254455-6 4.491921-1 4.264708-6 6.678212-1 4.276720-6 1.024057+0 4.306993-6 2.102176+0 4.318872-6 2.360828+0 4.328980-6 2.423194+0 4.339892-6 2.296001+0 4.356480-6 1.841815+0 4.377056-6 1.199009+0 4.381065-6 1.092260+0 4.389418-6 9.376815-1 4.400279-6 8.904753-1 4.410728-6 9.590844-1 4.430883-6 1.314437+0 4.447595-6 1.784345+0 4.456102-6 1.982037+0 4.466909-6 2.148410+0 4.478379-6 2.199737+0 4.487949-6 2.151272+0 4.498989-6 2.000616+0 4.531391-6 1.318285+0 4.542044-6 1.160178+0 4.550535-6 1.097554+0 4.561788-6 1.097562+0 4.574025-6 1.209127+0 4.599805-6 1.524639+0 4.619274-6 1.664914+0 4.638639-6 1.644528+0 4.678703-6 1.443738+0 4.723641-6 1.448684+0 4.743373-6 1.470093+0 4.817018-6 1.396677+0 4.870041-6 1.344066+0 5.009501-6 1.377383+0 6.217195-6 1.089666+0 6.533418-6 1.028462+0 6.565581-6 3.981573+0 6.581662-6 6.424494+0 6.597743-6 1.013005+1 6.613824-6 1.519866+1 6.642971-6 2.679116+1 6.661272-6 3.402153+1 6.680159-6 4.256233+1 6.702600-6 4.875377+1 6.743915-6 5.896152+1 6.798809-6 8.007250+1 6.809507-6 8.248312+1 6.823388-6 8.289036+1 6.840654-6 7.768484+1 6.861174-6 6.444814+1 6.904710-6 3.037253+1 6.921100-6 1.994546+1 6.937490-6 1.227075+1 6.953880-6 7.177623+0 6.982562-6 1.740167+0 6.986659-6 9.479201-1 8.393648-6 7.437865-1 9.625979-6 6.093317-1 9.645596-6 6.387767-1 9.673365-6 7.907512-1 9.697058-6 9.539381-1 9.716820-6 1.160105+0 9.742285-6 1.552096+0 9.773876-6 2.215890+0 9.815524-6 3.212480+0 9.842179-6 3.723445+0 9.862910-6 3.974309+0 9.889565-6 3.981078+0 9.913258-6 3.729482+0 9.939913-6 3.206206+0 9.993222-6 1.951102+0 1.000540-5 1.685045+0 1.002736-5 1.297465+0 1.004920-5 1.012748+0 1.007294-5 8.085776-1 1.010028-5 6.499927-1 1.012042-5 5.638260-1 1.047380-5 5.360625-1 1.052536-5 5.931834-1 1.055114-5 6.425372-1 1.057692-5 7.176547-1 1.061145-5 8.625269-1 1.067268-5 1.161993+0 1.070582-5 1.274669+0 1.073160-5 1.300584+0 1.075738-5 1.265085+0 1.078832-5 1.151129+0 1.086050-5 8.025911-1 1.088628-5 7.108456-1 1.091030-5 6.569434-1 1.093915-5 6.321988-1 1.098670-5 6.524538-1 1.104873-5 7.657901-1 1.107477-5 7.990046-1 1.110081-5 8.151079-1 1.115382-5 7.991851-1 1.122422-5 7.435168-1 1.135690-5 7.135934-1 1.193171-5 6.098736-1 1.282145-5 4.896008-1 1.385074-5 3.880950-1 1.487112-5 3.152826-1 1.596825-5 2.580870-1 1.704112-5 2.168706-1 1.852000-5 1.765318-1 2.015712-5 1.467900-1 2.144681-5 1.307839-1 2.155239-5 1.011516+0 2.160518-5 1.739869+0 2.166127-5 2.938720+0 2.171594-5 4.540818+0 2.187934-5 1.050498+1 2.194073-5 1.201956+1 2.198943-5 1.266364+1 2.205144-5 1.264132+1 2.221823-5 1.079665+1 2.237886-5 9.019867+0 2.243388-5 8.156112+0 2.247577-5 7.210012+0 2.250259-5 6.461851+0 2.262796-5 3.600308+0 2.268168-5 2.503957+0 2.273539-5 1.641601+0 2.278910-5 1.025582+0 2.281203-5 8.429572-1 2.286605-5 4.529817-1 2.289653-5 2.534842-1 2.292007-5 2.177560-1 2.302811-5 1.173477-1 2.443360-5 1.094055-1 2.455388-5 2.416330-1 2.461402-5 3.511232-1 2.467416-5 5.172823-1 2.473430-5 7.446125-1 2.488093-5 1.429396+0 2.497618-5 1.829408+0 2.504517-5 1.940802+0 2.510897-5 1.922160+0 2.528280-5 1.607933+0 2.537545-5 1.532217+0 2.555573-5 1.540159+0 2.570783-5 1.384208+0 2.593539-5 1.079289+0 2.603196-5 1.004371+0 2.614956-5 9.908218-1 2.636487-5 1.165488+0 2.646871-5 1.188859+0 2.678961-5 1.101309+0 2.759998-5 1.059768+0 3.004307-5 1.103362+0 3.190000-5 1.186707+0 3.408003-5 1.358452+0 3.641246-5 1.630325+0 3.938175-5 2.088105+0 4.306145-5 2.805692+0 5.850000-5 6.342971+0 6.872310-5 8.205929+0 8.145265-5 9.949423+0 9.650109-5 1.145998+1 1.027634-4 1.199615+1 1.045563-4 1.271292+1 1.069315-4 1.276298+1 1.091924-4 1.308739+1 1.420965-4 1.358055+1 1.499910-4 1.371625+1 1.529835-4 1.508728+1 1.556271-4 1.416626+1 2.053525-4 1.341024+1 3.507519-4 9.420181+0 4.290422-4 7.762359+0 5.202954-4 6.310220+0 6.237348-4 5.115061+0 7.452684-4 4.112220+0 8.652354-4 3.395620+0 1.021132-3 2.723827+0 1.097450-3 2.495643+0 1.103628-3 2.596262+0 1.107844-3 2.816572+0 1.111352-3 3.168064+0 1.114812-3 3.710119+0 1.119108-3 4.663094+0 1.133439-3 8.662923+0 1.151530-3 1.241192+1 1.163587-3 1.440571+1 1.174295-3 1.517771+1 1.197665-3 1.528316+1 1.265192-3 1.432938+1 1.279153-3 1.485334+1 1.295686-3 1.553736+1 1.490566-3 1.276893+1 1.741493-3 1.022883+1 2.026071-3 8.151441+0 2.344229-3 6.510024+0 2.697966-3 5.201806+0 3.115063-3 4.118117+0 3.574369-3 3.277697+0 4.047950-3 2.657822+0 4.607205-3 2.131749+0 5.069907-3 1.806904+0 5.733733-3 1.457761+0 6.456478-3 1.182710+0 7.268672-3 9.582747-1 8.093288-3 7.908244-1 9.076844-3 6.428224-1 1.006665-2 5.357233-1 1.011448-2 5.565093-1 1.014860-2 6.026096-1 1.017089-2 6.624601-1 1.019521-2 7.669319-1 1.021500-2 8.899312-1 1.023647-2 1.068154+0 1.026642-2 1.395666+0 1.030897-2 1.982723+0 1.036490-2 2.775554+0 1.040186-2 3.182865+0 1.045397-2 3.523492+0 1.051817-2 3.660609+0 1.271671-2 2.751239+0 1.455098-2 2.200413+0 1.660414-2 1.762648+0 1.888150-2 1.410531+0 2.135970-2 1.135693+0 2.409271-2 9.148947-1 2.717001-2 7.353910-1 3.023764-2 6.033447-1 3.367643-2 4.932252-1 3.744223-2 4.035881-1 4.180097-2 3.268477-1 4.618645-2 2.695720-1 5.102338-2 2.220139-1 5.739026-2 1.761760-1 6.324852-2 1.452866-1 7.054725-2 1.168602-1 7.830001-2 9.477956-2 8.750417-2 7.570413-2 9.782221-2 6.041133-2 1.075896-1 4.980986-2 1.170165-1 4.199442-2 1.279143-1 3.503728-2 1.406452-1 2.887931-2 1.551605-1 2.365034-2 1.708367-1 1.947379-2 1.867441-1 1.628332-2 2.056621-1 1.342457-2 2.256511-1 1.117836-2 2.495904-1 9.170722-3 2.757699-1 7.565753-3 3.010009-1 6.413871-3 3.343183-1 5.275814-3 3.697393-1 4.398678-3 4.097713-1 3.673579-3 4.548326-1 3.080648-3 5.072057-1 2.582102-3 5.664498-1 2.179299-3 6.461190-1 1.801205-3 7.307183-1 1.526748-3 8.460018-1 1.277684-3 9.772373-1 1.086359-3 1.173413+0 8.978895-4 1.410753+0 7.396220-4 1.696098+0 6.092516-4 2.039158+0 5.018612-4 2.451607+0 4.134001-4 2.947480+0 3.405316-4 3.543651+0 2.805074-4 4.260405+0 2.310635-4 5.122134+0 1.903348-4 6.158159+0 1.567852-4 7.403736+0 1.291493-4 8.901248+0 1.063847-4 9.760024+0 9.655449-5 1.000000+1 1.935027-4 1 31000 7 0 6.972000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-3.089391+1 1.955306-6-3.001374+1 2.048839-6-2.890954+1 2.090397-6-2.653324+1 2.101944-6-2.770259+1 2.115923-6-3.090776+1 2.128218-6-2.844567+1 2.141538-6-2.822271+1 2.183640-6-3.107110+1 2.220020-6-2.967552+1 2.240808-6-3.086441+1 2.261088-6-2.916909+1 2.341669-6-3.076913+1 2.493876-6-3.081271+1 3.069363-6-2.907645+1 3.204100-6-2.736737+1 3.253892-6-2.546957+1 3.271258-6-2.377472+1 3.305724-6-1.941520+1 3.316416-6-1.901659+1 3.325976-6-1.993311+1 3.335159-6-2.227747+1 3.344862-6-2.612686+1 3.356178-6-3.120509+1 3.369014-6-2.619251+1 3.379995-6-2.399426+1 3.390664-6-2.381346+1 3.407945-6-2.638907+1 3.435581-6-3.110563+1 3.451169-6-3.018566+1 3.466933-6-3.100356+1 3.499560-6-2.568321+1 3.516713-6-2.488538+1 3.576070-6-2.809993+1 3.695701-6-3.022844+1 3.831985-6-3.115277+1 3.922861-6-2.953664+1 3.977030-6-2.788364+1 3.998940-6-2.883926+1 4.024596-6-3.124615+1 4.049517-6-2.949078+1 4.077038-6-2.998596+1 4.120063-6-3.136784+1 4.183584-6-2.965534+1 4.249894-6-3.138566+1 4.298395-6-3.073042+1 4.328980-6-3.135654+1 4.373582-6-3.068235+1 4.418557-6-3.135662+1 4.466113-6-3.153881+1 4.531391-6-3.091629+1 4.608534-6-3.166350+1 5.106814-6-3.172456+1 5.930468-6-2.694863+1 6.173626-6-2.412280+1 6.311865-6-2.119959+1 6.397372-6-1.821602+1 6.453670-6-1.518788+1 6.486672-6-1.265170+1 6.510410-6-1.018129+1 6.520476-6-8.848922+0 6.530183-6-7.247662+0 6.535428-6-6.030495+0 6.538946-6-5.331258+0 6.557540-6-2.030856+0 6.561560-6-1.261186+0 6.565581-6-3.739258-1 6.569601-6 5.325034-1 6.578647-6 2.427811+0 6.581662-6 3.170251+0 6.599753-6 7.165726+0 6.617844-6 1.025260+1 6.629905-6 1.137981+1 6.639956-6 1.172991+1 6.661272-6 1.115258+1 6.668655-6 1.042286+1 6.675775-6 9.069259+0 6.680159-6 7.650398+0 6.697141-6 3.314210+0 6.702600-6 2.049596+0 6.712152-6 2.705365-3 6.726481-6-2.913357+0 6.733646-6-4.278426+0 6.739019-6-5.145697+0 6.741867-6-5.354555+0 6.743915-6-5.650548+0 6.747755-6-6.411866+0 6.754056-6-7.994239+0 6.764507-6-1.129705+1 6.776646-6-1.608543+1 6.786172-6-2.094935+1 6.800464-6-3.071918+1 6.807173-6-2.506222+1 6.820999-6-1.308459+1 6.823388-6-1.048879+1 6.839150-6 3.806766+0 6.839662-6 4.399604+0 6.840654-6 5.369572+0 6.842515-6 6.990846+0 6.848213-6 1.127536+1 6.857589-6 1.756988+1 6.866552-6 2.217656+1 6.877564-6 2.648560+1 6.888320-6 2.855166+1 6.900100-6 2.891870+1 6.919051-6 2.578278+1 6.937490-6 2.014597+1 6.959514-6 1.288567+1 6.978464-6 7.818243+0 6.984611-6 5.919903+0 6.988353-6 4.348592+0 6.991736-6 3.265339+0 6.995112-6 2.348835+0 6.998482-6 1.531274+0 7.005208-6 9.593455-2 7.011909-6-1.147170+0 7.018583-6-2.248344+0 7.025231-6-3.237676+0 7.038449-6-4.956563+0 7.058109-6-7.061661+0 7.083982-6-9.264111+0 7.122039-6-1.173718+1 7.171407-6-1.409329+1 7.242891-6-1.649830+1 7.354776-6-1.896127+1 7.554947-6-2.150926+1 7.927509-6-2.383592+1 8.597916-6-2.564608+1 9.608101-6-2.754650+1 9.783637-6-2.875026+1 9.862910-6-2.723974+1 9.954166-6-2.494068+1 1.002736-5-2.494621+1 1.023477-5-2.634556+1 1.067268-5-2.721317+1 1.086050-5-2.661696+1 1.126552-5-2.700664+1 1.960653-5-2.938866+1 2.096048-5-3.106974+1 2.135912-5-2.947361+1 2.172566-5-2.470183+1 2.182087-5-2.517021+1 2.190452-5-2.726177+1 2.198943-5-3.050762+1 2.204582-5-2.989809+1 2.217655-5-2.647923+1 2.250259-5-2.136109+1 2.262796-5-2.122158+1 2.302811-5-2.513332+1 2.350847-5-2.686722+1 2.488093-5-2.937980+1 2.528280-5-2.824772+1 2.603196-5-2.818416+1 4.804144-5-3.090998+1 6.309573-5-3.043181+1 1.063588-4-2.591449+1 1.247200-4-2.300063+1 1.533592-4-2.019810+1 1.587405-4-1.997242+1 1.678952-4-1.869737+1 2.053525-4-1.548276+1 2.437109-4-1.324660+1 2.917427-4-1.137185+1 3.507519-4-9.969492+0 4.290422-4-9.009574+0 5.202954-4-8.575879+0 6.237348-4-8.571962+0 7.452684-4-9.018172+0 8.652354-4-9.953446+0 9.585866-4-1.125450+1 1.021132-3-1.274919+1 1.061684-3-1.438098+1 1.088230-3-1.620944+1 1.103628-3-1.817318+1 1.122505-3-2.190222+1 1.131171-3-2.226157+1 1.154425-3-2.053650+1 1.184056-3-1.572397+1 1.205730-3-1.355185+1 1.231251-3-1.190373+1 1.258440-3-1.088885+1 1.291851-3-1.055202+1 1.324586-3-8.528271+0 1.357826-3-7.271965+0 1.411014-3-5.895497+0 1.473221-3-4.732738+0 1.533275-3-3.877339+0 1.617315-3-2.960407+0 1.662775-3-2.567304+0 1.760556-3-1.901178+0 1.851576-3-1.424491+0 1.927525-3-1.113901+0 2.001014-3-8.746662-1 2.079081-3-6.716997-1 2.153547-3-5.163116-1 2.238994-3-3.714667-1 2.329096-3-2.464950-1 2.397754-3-1.721014-1 2.436378-3-1.372927-1 2.494296-3-9.181244-2 2.564853-3-4.467613-2 2.595420-3-2.788691-2 2.631688-3-9.991502-3 2.638799-3-7.201197-3 2.666709-3 2.540999-3 2.697966-3 1.304395-2 2.737419-3 2.533813-2 2.754845-3 3.006895-2 2.809103-3 4.285862-2 2.869912-3 5.342074-2 2.978065-3 6.635085-2 3.035201-3 6.962807-2 3.090295-3 7.052736-2 3.215400-3 6.212973-2 3.396298-3 3.992849-2 3.459891-3 2.946682-2 3.524931-3 1.756002-2 3.546738-3 1.325035-2 3.609636-3 3.800257-5 3.646489-3-7.608059-3 3.705463-3-2.119897-2 3.806789-3-4.476867-2 3.924190-3-7.186693-2 4.143252-3-1.296239-1 6.456478-3-7.731756-1 7.543129-3-1.100606+0 8.328420-3-1.394916+0 8.902901-3-1.686730+0 9.348903-3-2.012135+0 9.649450-3-2.339234+0 9.885531-3-2.738413+0 1.003140-2-3.138916+0 1.012814-2-3.593422+0 1.023647-2-4.450258+0 1.029743-2-4.853558+0 1.035132-2-4.869766+0 1.041561-2-4.448737+0 1.051817-2-3.531091+0 1.060000-2-3.028962+0 1.071249-2-2.588091+0 1.086577-2-2.179736+0 1.106617-2-1.803358+0 1.130693-2-1.471637+0 1.158771-2-1.186002+0 1.185087-2-9.772816-1 1.223635-2-7.361931-1 1.259120-2-5.592819-1 1.295919-2-4.137841-1 1.334643-2-2.919789-1 1.372405-2-1.935007-1 1.392458-2-1.482712-1 1.412511-2-1.072105-1 1.433805-2-6.757947-2 1.455098-2-3.134532-2 1.476473-2 1.430442-4 1.484869-2 1.256894-2 1.521399-2 6.015203-2 1.569064-2 1.135186-1 1.614627-2 1.548187-1 1.660414-2 1.897288-1 1.703853-2 2.169545-1 1.792567-2 2.580724-1 1.939001-2 2.980183-1 2.135970-2 3.212511-1 2.409271-2 3.185376-1 2.810420-2 2.907646-1 3.891326-2 1.937350-1 4.618645-2 1.416413-1 5.256695-2 1.058028-1 5.925873-2 7.561568-2 6.524278-2 5.383744-2 7.054725-2 3.764045-2 7.534303-2 2.508505-2 7.964744-2 1.519165-2 8.351816-2 7.289492-3 8.528840-2 3.905532-3 8.741289-2 9.981588-5 8.750417-2-6.161090-5 8.949014-2-3.447276-3 9.126480-2-6.348001-3 9.558230-2-1.284517-2 1.003274-1-1.923403-2 1.075896-1-2.772345-2 1.170165-1-3.687327-2 1.279143-1-4.546929-2 1.460075-1-5.633659-2 1.708367-1-6.671327-2 2.110195-1-7.717030-2 2.757699-1-8.624533-2 3.957225-1-9.344270-2 6.751555-1-9.830355-2 2.039158+0-1.006384-1 6.158159+0-1.008936-1 1.000000+1-1.008892-1 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.813677-3 1.125000-6 2.997391-3 1.267044-6 5.037546-3 1.306639-6 5.770838-3 1.389580-6 7.597350-3 1.477786-6 1.005025-2 1.571591-6 1.337068-2 1.620703-6 1.546019-2 1.720953-6 2.065648-2 1.769006-6 2.363927-2 1.860653-6 3.044786-2 1.946662-6 3.840109-2 1.987662-6 4.287063-2 2.065857-6 5.276704-2 2.140406-6 6.416499-2 2.210296-6 7.703094-2 2.275817-6 9.149204-2 2.337244-6 1.076300-1 2.394831-6 1.255869-1 2.458173-6 1.492110-1 2.499434-6 1.670363-1 2.546884-6 1.908313-1 2.591369-6 2.168325-1 2.633074-6 2.451049-1 2.672172-6 2.757614-1 2.708826-6 3.089369-1 2.743190-6 3.448085-1 2.777597-6 3.862661-1 2.805608-6 4.249536-1 2.833922-6 4.696688-1 2.864397-6 5.252157-1 2.885353-6 5.687678-1 2.908684-6 6.236281-1 2.930556-6 6.823319-1 2.953910-6 7.542858-1 2.970286-6 8.116077-1 2.988308-6 8.826449-1 3.005204-6 9.582902-1 3.021044-6 1.038726+0 3.037109-6 1.131607+0 3.049816-6 1.214722+0 3.062867-6 1.310746+0 3.075103-6 1.412471+0 3.086574-6 1.520169+0 3.097329-6 1.634111+0 3.107411-6 1.754551+0 3.116863-6 1.881731+0 3.125724-6 2.015884+0 3.139725-6 2.264386+0 3.149121-6 2.462877+0 3.162811-6 2.813933+0 3.174790-6 3.205396+0 3.185272-6 3.643948+0 3.194443-6 4.136720+0 3.202468-6 4.688711+0 3.209490-6 5.300218+0 3.215634-6 5.965624+0 3.221010-6 6.673949+0 3.225714-6 7.410629+0 3.230309-6 8.253722+0 3.233432-6 8.905659+0 3.239341-6 1.033636+1 3.247785-6 1.289173+1 3.261729-6 1.862257+1 3.266663-6 2.112143+1 3.270674-6 2.332290+1 3.274684-6 2.566235+1 3.282705-6 3.066697+1 3.283707-6 3.131427+1 3.290726-6 3.589475+1 3.293483-6 3.768521+1 3.298746-6 4.101023+1 3.301503-6 4.267111+1 3.304135-6 4.418379+1 3.306767-6 4.561000+1 3.310276-6 4.735125+1 3.313660-6 4.882763+1 3.318297-6 5.047589+1 3.322386-6 5.152453+1 3.327070-6 5.221458+1 3.331080-6 5.234746+1 3.332476-6 5.229237+1 3.336460-6 5.184685+1 3.339978-6 5.110325+1 3.343066-6 5.018965+1 3.346933-6 4.872074+1 3.349591-6 4.751699+1 3.355142-6 4.455332+1 3.358729-6 4.236452+1 3.361344-6 4.066067+1 3.364792-6 3.830265+1 3.367479-6 3.639988+1 3.370933-6 3.389895+1 3.374442-6 3.132922+1 3.378108-6 2.865112+1 3.382964-6 2.517410+1 3.386473-6 2.274975+1 3.387476-6 2.207459+1 3.391235-6 1.962356+1 3.394995-6 1.731551+1 3.403016-6 1.293549+1 3.406102-6 1.146029+1 3.408569-6 1.036646+1 3.411037-6 9.348227+0 3.414546-6 8.028076+0 3.418846-6 6.608514+0 3.422030-6 5.691242+0 3.426475-6 4.589448+0 3.431778-6 3.524016+0 3.438673-6 2.496811+0 3.440690-6 2.264238+0 3.442581-6 2.071639+0 3.444354-6 1.912363+0 3.446016-6 1.780910+0 3.447574-6 1.672723+0 3.450496-6 1.507173+0 3.453052-6 1.400023+0 3.455289-6 1.333460+0 3.458103-6 1.283840+0 3.459708-6 1.271802+0 3.461113-6 1.270618+0 3.462342-6 1.276565+0 3.463418-6 1.287003+0 3.464359-6 1.300075+0 3.466006-6 1.331635+0 3.467241-6 1.362424+0 3.468863-6 1.411909+0 3.470947-6 1.490351+0 3.472701-6 1.568998+0 3.475035-6 1.691122+0 3.477263-6 1.825896+0 3.479490-6 1.978016+0 3.488034-6 2.714187+0 3.497111-6 3.735419+0 3.498112-6 3.861089+0 3.505654-6 4.873735+0 3.508407-6 5.266265+0 3.513664-6 6.034963+0 3.516600-6 6.468737+0 3.520104-6 6.982973+0 3.523416-6 7.459115+0 3.526545-6 7.894196+0 3.529962-6 8.345952+0 3.532886-6 8.708047+0 3.536590-6 9.127047+0 3.539827-6 9.450885+0 3.543832-6 9.789199+0 3.547626-6 1.003943+1 3.550115-6 1.016385+1 3.554019-6 1.029257+1 3.556979-6 1.033476+1 3.565320-6 1.019622+1 3.567619-6 1.009326+1 3.574001-6 9.673045+0 3.577411-6 9.375106+0 3.578561-6 9.264405+0 3.583078-6 8.785259+0 3.586348-6 8.400426+0 3.589502-6 8.005278+0 3.592689-6 7.587390+0 3.596694-6 7.044083+0 3.599096-6 6.712318+0 3.603368-6 6.119498+0 3.606572-6 5.677854+0 3.608708-6 5.387169+0 3.612445-6 4.889420+0 3.616183-6 4.409965+0 3.624726-6 3.403873+0 3.627663-6 3.091407+0 3.630466-6 2.810329+0 3.633270-6 2.546385+0 3.637541-6 2.177342+0 3.641813-6 1.847887+0 3.645535-6 1.592094+0 3.649763-6 1.335256+0 3.653957-6 1.113616+0 3.658215-6 9.198093-1 3.662248-6 7.626046-1 3.664301-6 6.916404-1 3.668390-6 5.668217-1 3.672447-6 4.626868-1 3.676473-6 3.764222-1 3.680467-6 3.054724-1 3.688361-6 2.006180-1 3.692262-6 1.629062-1 3.696133-6 1.328654-1 3.699973-6 1.091611-1 3.703784-6 9.064933-2 3.707564-6 7.635510-2 3.711315-6 6.545193-2 3.715037-6 5.724298-2 3.718730-6 5.114405-2 3.722394-6 4.666843-2 3.726029-6 4.341374-2 3.731693-6 3.999096-2 3.736751-6 3.798961-2 3.750219-6 3.417881-2 3.756537-6 3.218727-2 3.762062-6 3.013430-2 3.768687-6 2.731604-2 3.775234-6 2.428605-2 3.781679-6 2.126730-2 3.794268-6 1.608412-2 3.800416-6 1.423878-2 3.812518-6 1.248981-2 3.824243-6 1.352601-2 3.835601-6 1.718659-2 3.846604-6 2.313780-2 3.867923-6 4.086020-2 3.889140-6 6.589341-2 3.908153-6 9.430605-2 3.944589-6 1.647025-1 4.049372-6 4.545480-1 4.083955-6 5.845140-1 4.109892-6 6.999425-1 4.148799-6 9.045695-1 4.198012-6 1.228126+0 4.281073-6 2.026083+0 4.312150-6 2.447423+0 4.332868-6 2.781677+0 4.363944-6 3.386560+0 4.384662-6 3.877993+0 4.395021-6 4.156695+0 4.415738-6 4.794703+0 4.432500-6 5.406748+0 4.442629-6 5.827678+0 4.453510-6 6.330899+0 4.464990-6 6.929102+0 4.475820-6 7.568928+0 4.486650-6 8.297102+0 4.497480-6 9.133086+0 4.508310-6 1.010313+1 4.519140-6 1.124366+1 4.529970-6 1.260632+1 4.540800-6 1.426534+1 4.551630-6 1.632701+1 4.562460-6 1.894083+1 4.573290-6 2.231048+1 4.578705-6 2.435921+1 4.584120-6 2.670144+1 4.589544-6 2.938481+1 4.594968-6 3.245209+1 4.600409-6 3.596378+1 4.605850-6 3.996203+1 4.616731-6 4.962143+1 4.638031-6 7.611001+1 4.646508-6 8.971825+1 4.655155-6 1.053623+2 4.660863-6 1.165739+2 4.672279-6 1.406624+2 4.673706-6 1.437879+2 4.683694-6 1.659668+2 4.687619-6 1.746656+2 4.695110-6 1.908643+2 4.699035-6 1.989783+2 4.702780-6 2.063821+2 4.706526-6 2.133757+2 4.711521-6 2.219335+2 4.716337-6 2.292091+2 4.720796-6 2.349648+2 4.724542-6 2.389933+2 4.730072-6 2.434772+2 4.736761-6 2.463996+2 4.741822-6 2.466994+2 4.748788-6 2.443647+2 4.753796-6 2.407402+2 4.758191-6 2.362658+2 4.763525-6 2.293002+2 4.767478-6 2.231321+2 4.775379-6 2.085456+2 4.780484-6 1.977746+2 4.784205-6 1.893963+2 4.789113-6 1.778162+2 4.792937-6 1.684895+2 4.797854-6 1.562629+2 4.802848-6 1.437492+2 4.808066-6 1.307777+2 4.814978-6 1.140811+2 4.819972-6 1.025701+2 4.826750-6 8.794827+1 4.832815-6 7.603363+1 4.841176-6 6.167371+1 4.851364-6 4.768552+1 4.853180-6 4.560862+1 4.859534-6 3.932651+1 4.863208-6 3.638419+1 4.866472-6 3.418223+1 4.869482-6 3.248673+1 4.870073-6 3.219055+1 4.874443-6 3.036625+1 4.876953-6 2.959995+1 4.879078-6 2.910536+1 4.881509-6 2.870610+1 4.883830-6 2.848477+1 4.886524-6 2.841472+1 4.889195-6 2.853342+1 4.892252-6 2.888520+1 4.895171-6 2.942118+1 4.898835-6 3.034747+1 4.901458-6 3.116790+1 4.905207-6 3.254281+1 4.912219-6 3.564376+1 4.925351-6 4.261010+1 4.932100-6 4.638535+1 4.937449-6 4.930089+1 4.943187-6 5.224551+1 4.948443-6 5.469423+1 4.953932-6 5.692501+1 4.958990-6 5.863055+1 4.961468-6 5.933092+1 4.966709-6 6.049797+1 4.970985-6 6.111998+1 4.982032-6 6.130485+1 4.986482-6 6.080369+1 4.994614-6 5.908094+1 5.000167-6 5.735403+1 5.003416-6 5.615775+1 5.008746-6 5.393145+1 5.010922-6 5.293801+1 5.014731-6 5.109686+1 5.019730-6 4.851130+1 5.024551-6 4.587555+1 5.029412-6 4.311713+1 5.035382-6 3.965150+1 5.039859-6 3.703435+1 5.042786-6 3.532938+1 5.047809-6 3.243852+1 5.052832-6 2.961813+1 5.054324-6 2.879796+1 5.063464-6 2.399739+1 5.069031-6 2.129271+1 5.073099-6 1.943462+1 5.077166-6 1.768146+1 5.082905-6 1.539154+1 5.089378-6 1.306870+1 5.094967-6 1.128139+1 5.100385-6 9.735822+0 5.105797-6 8.366376+0 5.112756-6 6.844610+0 5.120897-6 5.372870+0 5.125128-6 4.725316+0 5.134406-6 3.548713+0 5.149870-6 2.185895+0 5.162241-6 1.487960+0 5.165334-6 1.353943+0 5.174612-6 1.027919+0 5.177705-6 9.409957-1 5.182345-6 8.278636-1 5.186984-6 7.331879-1 5.190077-6 6.792601-1 5.194716-6 6.108433-1 5.199355-6 5.561536-1 5.205541-6 5.028370-1 5.208633-6 4.841552-1 5.211726-6 4.706734-1 5.217912-6 4.593968-1 5.221005-6 4.618313-1 5.222551-6 4.651542-1 5.224097-6 4.699270-1 5.230283-6 5.044070-1 5.233376-6 5.316444-1 5.236469-6 5.662523-1 5.246017-6 7.268522-1 5.248840-6 7.923212-1 5.256413-6 1.017014+0 5.261211-6 1.202022+0 5.278632-6 2.235151+0 5.285259-6 2.813465+0 5.290186-6 3.322823+0 5.295417-6 3.944804+0 5.300088-6 4.575368+0 5.304547-6 5.246944+0 5.309006-6 5.989094+0 5.314555-6 7.013925+0 5.320105-6 8.151898+0 5.333136-6 1.125498+1 5.335477-6 1.187220+1 5.346166-6 1.488185+1 5.351180-6 1.637979+1 5.359197-6 1.884074+1 5.362226-6 1.977907+1 5.365683-6 2.084720+1 5.368276-6 2.164241+1 5.372166-6 2.281856+1 5.376055-6 2.396541+1 5.381266-6 2.543747+1 5.385256-6 2.650010+1 5.388514-6 2.731774+1 5.392791-6 2.831175+1 5.398289-6 2.943887+1 5.405211-6 3.058167+1 5.410460-6 3.121986+1 5.413995-6 3.153079+1 5.420467-6 3.184173+1 5.425666-6 3.184433+1 5.429549-6 3.170241+1 5.435151-6 3.128511+1 5.439969-6 3.073284+1 5.443575-6 3.020872+1 5.453322-6 2.836566+1 5.457670-6 2.736893+1 5.463273-6 2.595615+1 5.467987-6 2.467753+1 5.473029-6 2.324173+1 5.478692-6 2.157560+1 5.483422-6 2.016397+1 5.489503-6 1.835455+1 5.496018-6 1.646223+1 5.502534-6 1.465814+1 5.508380-6 1.314355+1 5.525923-6 9.384033+0 5.530762-6 8.585958+0 5.534900-6 7.991212+0 5.536547-6 7.777105+0 5.542312-6 7.129330+0 5.545195-6 6.864303+0 5.548077-6 6.637965+0 5.552189-6 6.380850+0 5.555361-6 6.234044+0 5.557307-6 6.165649+0 5.560769-6 6.083530+0 5.563483-6 6.053513+0 5.566255-6 6.052912+0 5.568462-6 6.073399+0 5.570264-6 6.103457+0 5.575670-6 6.261954+0 5.579810-6 6.448061+0 5.583945-6 6.684928+0 5.590109-6 7.122664+0 5.597363-6 7.747726+0 5.615891-6 9.705516+0 5.625252-6 1.078565+1 5.632100-6 1.157190+1 5.639300-6 1.237103+1 5.646410-6 1.311285+1 5.653160-6 1.375747+1 5.659262-6 1.427916+1 5.665224-6 1.472480+1 5.672194-6 1.515695+1 5.685573-6 1.569249+1 5.692872-6 1.581221+1 5.699278-6 1.581476+1 5.704168-6 1.575249+1 5.709748-6 1.561463+1 5.717073-6 1.532914+1 5.724725-6 1.491136+1 5.731835-6 1.442317+1 5.739312-6 1.381861+1 5.742876-6 1.350199+1 5.755138-6 1.230517+1 5.759615-6 1.183912+1 5.768267-6 1.091935+1 5.777848-6 9.908627+0 5.795393-6 8.235480+0 5.802929-6 7.642510+0 5.805878-6 7.437242+0 5.814844-6 6.916842+0 5.819891-6 6.697443+0 5.821574-6 6.636594+0 5.834831-6 6.376108+0 5.839599-6 6.376509+0 5.845317-6 6.439544+0 5.850698-6 6.557476+0 5.856479-6 6.741970+0 5.861913-6 6.963837+0 5.867616-6 7.239671+0 5.880053-6 7.952165+0 5.893570-6 8.806733+0 5.897237-6 9.037373+0 5.904394-6 9.471484+0 5.912140-6 9.902422+0 5.914834-6 1.003975+1 5.922167-6 1.037414+1 5.929240-6 1.063503+1 5.938999-6 1.088500+1 5.946761-6 1.098907+1 5.949661-6 1.100654+1 5.958359-6 1.099203+1 5.966526-6 1.089400+1 5.974682-6 1.072597+1 5.987417-6 1.035663+1 5.998554-6 9.967264+0 6.022931-6 9.092243+0 6.036230-6 8.693200+0 6.048282-6 8.415203+0 6.058191-6 8.252611+0 6.063381-6 8.190923+0 6.071217-6 8.126290+0 6.081245-6 8.087844+0 6.092048-6 8.090585+0 6.112861-6 8.170372+0 6.138822-6 8.284247+0 6.160693-6 8.318172+0 6.185386-6 8.280802+0 6.235988-6 8.140343+0 6.269561-6 8.108916+0 6.456919-6 8.204768+0 6.511476-6 8.213079+0 6.575398-6 8.143190+0 6.629208-6 8.079946+0 6.690152-6 8.057216+0 6.836908-6 8.104928+0 6.873252-6 8.097675+0 6.907301-6 8.047778+0 6.925643-6 7.997110+0 6.964258-6 7.837249+0 7.042814-6 7.428877+0 7.068173-6 7.321729+0 7.096292-6 7.233901+0 7.127071-6 7.180868+0 7.156889-6 7.175736+0 7.187157-6 7.219326+0 7.213758-6 7.300026+0 7.249597-6 7.475043+0 7.267128-6 7.589965+0 7.298403-6 7.846133+0 7.329508-6 8.170701+0 7.364219-6 8.623420+0 7.397935-6 9.165245+0 7.429360-6 9.772403+0 7.474001-6 1.083085+1 7.508298-6 1.182712+1 7.544106-6 1.307001+1 7.583909-6 1.474348+1 7.609148-6 1.599496+1 7.642692-6 1.793395+1 7.666315-6 1.952246+1 7.692247-6 2.151921+1 7.716558-6 2.367492+1 7.745967-6 2.672618+1 7.760718-6 2.847368+1 7.780750-6 3.112173+1 7.799530-6 3.393877+1 7.817136-6 3.692742+1 7.840697-6 4.156555+1 7.863624-6 4.695887+1 7.877224-6 5.067475+1 7.889974-6 5.458757+1 7.901928-6 5.870448+1 7.924341-6 6.789602+1 7.943952-6 7.801168+1 7.961112-6 8.900926+1 7.976127-6 1.007645+2 7.989265-6 1.130811+2 8.000761-6 1.257178+2 8.010819-6 1.384202+2 8.019621-6 1.509489+2 8.029613-6 1.669387+2 8.050907-6 2.080466+2 8.083717-6 2.925059+2 8.102422-6 3.524540+2 8.116040-6 4.009203+2 8.121013-6 4.194754+2 8.140904-6 4.970223+2 8.143390-6 5.069670+2 8.160794-6 5.768525+2 8.167632-6 6.039808+2 8.183172-6 6.634896+2 8.194050-6 7.024096+2 8.205549-6 7.402522+2 8.217670-6 7.758502+2 8.230413-6 8.081882+2 8.242845-6 8.348631+2 8.259161-6 8.638382+2 8.295768-6 9.218397+2 8.308067-6 9.470931+2 8.320824-6 9.809639+2 8.332176-6 1.019914+3 8.347121-6 1.086737+3 8.356650-6 1.139685+3 8.371134-6 1.236387+3 8.377063-6 1.281552+3 8.420620-6 1.691042+3 8.434846-6 1.839110+3 8.446688-6 1.959326+3 8.457679-6 2.064268+3 8.470158-6 2.171141+3 8.480680-6 2.247744+3 8.491299-6 2.309835+3 8.498617-6 2.342638+3 8.518721-6 2.386592+3 8.526330-6 2.384791+3 8.539773-6 2.356842+3 8.549491-6 2.317646+3 8.558910-6 2.265490+3 8.569277-6 2.193458+3 8.579324-6 2.110823+3 8.588255-6 2.028426+3 8.596867-6 1.942477+3 8.609944-6 1.802925+3 8.620151-6 1.689153+3 8.631633-6 1.559026+3 8.640564-6 1.457994+3 8.660978-6 1.234168+3 8.667995-6 1.161041+3 8.681391-6 1.028709+3 8.700529-6 8.588106+2 8.740555-6 5.825065+2 8.751538-6 5.246170+2 8.762478-6 4.737987+2 8.773375-6 4.293954+2 8.784230-6 3.907342+2 8.795042-6 3.571523+2 8.805812-6 3.280174+2 8.816540-6 3.027408+2 8.827226-6 2.807864+2 8.850670-6 2.417851+2 8.869636-6 2.173564+2 8.890594-6 1.957423+2 8.911387-6 1.784127+2 8.932018-6 1.642098+2 8.953156-6 1.519805+2 8.972798-6 1.422442+2 8.992949-6 1.335440+2 9.012943-6 1.259583+2 9.041698-6 1.165171+2 9.072146-6 1.080223+2 9.110896-6 9.893982+1 9.149041-6 9.146539+1 9.186590-6 8.521600+1 9.223552-6 7.992007+1 9.279936-6 7.312118+1 9.331008-6 6.800214+1 9.365714-6 6.497292+1 9.434040-6 5.985604+1 9.511000-6 5.513594+1 9.564354-6 5.236619+1 9.626473-6 4.956033+1 9.716280-6 4.613564+1 9.801423-6 4.342461+1 9.930616-6 4.005239+1 1.003778-5 3.775332+1 1.014495-5 3.580634+1 1.028428-5 3.367921+1 1.044277-5 3.168023+1 1.058144-5 3.021705+1 1.074608-5 2.874197+1 1.091512-5 2.742662+1 1.107438-5 2.635813+1 1.197867-5 2.171326+1 1.221093-5 2.047767+1 1.232917-5 1.963290+1 1.236717-5 1.929626+1 1.248119-5 1.818744+1 1.250208-5 1.801882+1 1.254263-5 1.780597+1 1.257335-5 1.779695+1 1.259439-5 1.789182+1 1.260407-5 1.796707+1 1.262517-5 1.820551+1 1.263286-5 1.831885+1 1.265594-5 1.874496+1 1.268035-5 1.933283+1 1.270074-5 1.992208+1 1.275000-5 2.161219+1 1.277903-5 2.268338+1 1.281749-5 2.402765+1 1.284827-5 2.493443+1 1.287134-5 2.546930+1 1.289563-5 2.587459+1 1.290723-5 2.600803+1 1.292462-5 2.613530+1 1.294200-5 2.617769+1 1.296366-5 2.612014+1 1.299526-5 2.584719+1 1.303417-5 2.528364+1 1.305598-5 2.489879+1 1.313597-5 2.338977+1 1.318624-5 2.254148+1 1.328173-5 2.130609+1 1.343316-5 2.002482+1 1.349929-5 1.964986+1 1.353235-5 1.951899+1 1.356542-5 1.943477+1 1.362139-5 1.940877+1 1.369011-5 1.955738+1 1.379686-5 1.992070+1 1.383965-5 2.000248+1 1.387034-5 2.001722+1 1.392912-5 1.994254+1 1.413758-5 1.929997+1 1.421478-5 1.915591+1 1.439282-5 1.891713+1 1.609892-5 1.651050+1 1.739978-5 1.497122+1 1.914537-5 1.316609+1 2.015979-5 1.219988+1 2.099000-5 1.145259+1 2.148860-5 1.101700+1 2.209913-5 1.048591+1 2.297987-5 9.731734+0 2.347650-5 9.307768+0 2.406476-5 8.795325+0 2.466363-5 8.270374+0 2.512474-5 7.851436+0 2.575543-5 7.255689+0 2.625911-5 6.761788+0 2.681722-5 6.183327+0 2.722789-5 5.724589+0 2.771391-5 5.143088+0 2.806330-5 4.696456+0 2.840676-5 4.226263+0 2.870863-5 3.782150+0 2.897395-5 3.362456+0 2.909431-5 3.161168+0 2.920714-5 2.965590+0 2.934247-5 2.721953+0 2.950507-5 2.416160+0 2.959223-5 2.246550+0 2.971144-5 2.008664+0 2.982237-5 1.782371+0 2.988970-5 1.643765+0 2.995282-5 1.514149+0 3.001199-5 1.394305+0 3.006747-5 1.285125+0 3.016824-5 1.102403+0 3.022692-5 1.011803+0 3.025681-5 9.722458-1 3.029699-5 9.280529-1 3.035231-5 8.882626-1 3.040204-5 8.790202-1 3.044724-5 8.981901-1 3.049477-5 9.534574-1 3.051797-5 9.959286-1 3.053984-5 1.046614+0 3.057253-5 1.143971+0 3.061184-5 1.300368+0 3.064669-5 1.480939+0 3.067732-5 1.677473+0 3.070424-5 1.883562+0 3.072867-5 2.100863+0 3.076874-5 2.528454+0 3.082448-5 3.296607+0 3.093292-5 5.548553+0 3.098371-5 7.046958+0 3.103036-5 8.732395+0 3.107808-5 1.080468+1 3.112036-5 1.296882+1 3.114907-5 1.462755+1 3.120387-5 1.824779+1 3.123447-5 2.053953+1 3.127465-5 2.384936+1 3.133328-5 2.929240+1 3.134644-5 3.061209+1 3.141823-5 3.839879+1 3.144456-5 4.148129+1 3.150330-5 4.871949+1 3.153524-5 5.282033+1 3.155959-5 5.599930+1 3.160099-5 6.147144+1 3.163269-5 6.567653+1 3.166829-5 7.036752+1 3.170758-5 7.544961+1 3.173626-5 7.905860+1 3.177428-5 8.366892+1 3.181469-5 8.829160+1 3.186419-5 9.348381+1 3.190466-5 9.728231+1 3.195238-5 1.011849+2 3.197696-5 1.029354+2 3.205654-5 1.073209+2 3.207326-5 1.079867+2 3.215444-5 1.099421+2 3.219688-5 1.101299+2 3.222386-5 1.099588+2 3.230480-5 1.081487+2 3.233148-5 1.071475+2 3.238240-5 1.047218+2 3.242158-5 1.024294+2 3.244394-5 1.009685+2 3.248306-5 9.816838+1 3.253441-5 9.407685+1 3.256742-5 9.123466+1 3.262195-5 8.625210+1 3.264348-5 8.420814+1 3.269282-5 7.941077+1 3.275102-5 7.364473+1 3.282863-5 6.599246+1 3.292563-5 5.686240+1 3.303621-5 4.751200+1 3.318638-5 3.713861+1 3.322544-5 3.489796+1 3.330357-5 3.095304+1 3.333691-5 2.947358+1 3.340152-5 2.692263+1 3.346814-5 2.468226+1 3.351887-5 2.320668+1 3.362534-5 2.064270+1 3.371850-5 1.886415+1 3.380001-5 1.757337+1 3.396076-5 1.553879+1 3.404965-5 1.462002+1 3.421013-5 1.320980+1 3.445521-5 1.145821+1 3.479361-5 9.457796+0 3.504740-5 8.071976+0 3.513200-5 7.616251+0 3.529455-5 6.766160+0 3.537545-5 6.373266+0 3.546455-5 5.984661+0 3.549440-5 5.868396+0 3.558134-5 5.580639+0 3.566828-5 5.383421+0 3.569001-5 5.350136+0 3.575522-5 5.291374+0 3.580768-5 5.289817+0 3.585776-5 5.326061+0 3.590784-5 5.397521+0 3.596277-5 5.513008+0 3.603339-5 5.710207+0 3.611954-5 6.005828+0 3.623014-5 6.430900+0 3.633285-5 6.825449+0 3.642094-5 7.135812+0 3.647318-5 7.301236+0 3.655154-5 7.519148+0 3.662990-5 7.699100+0 3.674232-5 7.891702+0 3.686795-5 8.019749+0 3.692289-5 8.048023+0 3.698771-5 8.060348+0 3.704952-5 8.051523+0 3.711449-5 8.021698+0 3.722798-5 7.924755+0 3.732233-5 7.810038+0 3.764013-5 7.353104+0 3.780307-5 7.160908+0 3.800559-5 6.988901+0 3.870890-5 6.559876+0 4.103328-5 5.256794+0 4.200000-5 4.786654+0 4.400000-5 3.926743+0 4.470000-5 3.680899+0 4.540000-5 3.469343+0 4.623810-5 3.268926+0 4.691124-5 3.150685+0 4.761135-5 3.073798+0 4.820000-5 3.048601+0 4.857324-5 3.055075+0 4.970904-5 3.164642+0 5.080000-5 3.398887+0 5.125207-5 3.536059+0 5.188000-5 3.775694+0 5.297877-5 4.311577+0 5.325004-5 4.468812+0 5.440924-5 5.244914+0 5.524661-5 5.900734+0 5.644422-5 6.989113+0 5.875092-5 9.525670+0 5.991903-5 1.102607+1 6.070000-5 1.209729+1 6.166359-5 1.348402+1 6.237348-5 1.454687+1 6.318674-5 1.580276+1 6.400000-5 1.709719+1 6.490000-5 1.856940+1 6.580000-5 2.008034+1 6.670415-5 2.163020+1 6.819726-5 2.424763+1 6.950000-5 2.658388+1 7.055717-5 2.850476+1 7.161434-5 3.044865+1 7.287268-5 3.278993+1 7.413102-5 3.517354+1 7.680000-5 4.027521+1 8.005250-5 4.663013+1 8.413951-5 5.489741+1 8.810489-5 6.317976+1 9.359443-5 7.505923+1 9.831153-5 8.556337+1 1.023293-4 9.452215+1 1.083927-4 1.077533+2 1.111725-4 1.135011+2 1.140230-4 1.190813+2 1.161874-4 1.229979+2 1.184775-4 1.268156+2 1.190332-4 1.279482+2 1.200003-4 1.308905+2 1.209441-4 1.352838+2 1.216996-4 1.392142+2 1.221969-4 1.414912+2 1.226280-4 1.431048+2 1.233913-4 1.452322+2 1.241536-4 1.470294+2 1.251692-4 1.499771+2 1.264304-4 1.543727+2 1.272658-4 1.569365+2 1.279301-4 1.586148+2 1.317497-4 1.664059+2 1.367852-4 1.762202+2 1.417087-4 1.851787+2 1.479842-4 1.957566+2 1.548226-4 2.062482+2 1.588673-4 2.117260+2 1.625989-4 2.161264+2 1.652475-4 2.184359+2 1.678447-4 2.195587+2 1.685518-4 2.204412+2 1.690200-4 2.216258+2 1.698244-4 2.254435+2 1.703133-4 2.291292+2 1.710082-4 2.361326+2 1.723548-4 2.523071+2 1.726644-4 2.555821+2 1.730638-4 2.591048+2 1.735403-4 2.620284+2 1.738405-4 2.630988+2 1.742019-4 2.636255+2 1.748874-4 2.627492+2 1.765365-4 2.571866+2 1.772997-4 2.558313+2 1.779006-4 2.556881+2 1.790926-4 2.570424+2 1.814140-4 2.611417+2 1.925551-4 2.779712+2 2.041738-4 2.936889+2 2.160000-4 3.074968+2 2.277995-4 3.196927+2 2.398833-4 3.305362+2 2.520890-4 3.403780+2 2.648741-4 3.496357+2 2.855452-4 3.624520+2 3.037649-4 3.714887+2 3.314339-4 3.816682+2 3.520374-4 3.873564+2 3.688911-4 3.910628+2 3.919468-4 3.946880+2 4.165882-4 3.973777+2 4.628765-4 3.995552+2 4.890477-4 3.994945+2 5.202252-4 3.985441+2 5.543066-4 3.965268+2 5.854637-4 3.939669+2 6.214948-4 3.901401+2 6.556343-4 3.855956+2 6.938251-4 3.791819+2 7.317555-4 3.721629+2 7.706816-4 3.643477+2 8.152467-4 3.545664+2 8.567002-4 3.443957+2 9.015711-4 3.320131+2 9.437029-4 3.187612+2 9.815819-4 3.051210+2 1.013948-3 2.917276+2 1.043931-3 2.775053+2 1.070528-3 2.627113+2 1.093130-3 2.482135+2 1.111483-3 2.348874+2 1.129245-3 2.202811+2 1.143981-3 2.064073+2 1.157065-3 1.922362+2 1.167579-3 1.790747+2 1.176898-3 1.654874+2 1.184678-3 1.521871+2 1.190578-3 1.406168+2 1.194148-3 1.329989+2 1.197322-3 1.259351+2 1.201606-3 1.162795+2 1.207391-3 1.041555+2 1.209859-3 9.979541+1 1.212285-3 9.625531+1 1.213454-3 9.486585+1 1.214582-3 9.374325+1 1.216019-3 9.264516+1 1.217356-3 9.197826+1 1.218886-3 9.165461+1 1.220355-3 9.179916+1 1.222027-3 9.251423+1 1.223558-3 9.368129+1 1.224780-3 9.495726+1 1.226639-3 9.746165+1 1.228375-3 1.003813+2 1.230419-3 1.044716+2 1.233534-3 1.118882+2 1.240000-3 1.306317+2 1.243923-3 1.434714+2 1.250671-3 1.672520+2 1.253938-3 1.794167+2 1.257449-3 1.928992+2 1.261000-3 2.068547+2 1.264519-3 2.208204+2 1.268197-3 2.353085+2 1.272200-3 2.505960+2 1.275813-3 2.636874+2 1.279799-3 2.771206+2 1.285947-3 2.954848+2 1.290090-3 3.062603+2 1.296633-3 3.209549+2 1.305000-3 3.364612+2 1.313000-3 3.487566+2 1.323000-3 3.615398+2 1.330547-3 3.696172+2 1.341919-3 3.796278+2 1.353141-3 3.874254+2 1.377074-3 4.017646+2 1.387042-3 4.095979+2 1.398394-3 4.210003+2 1.425046-3 4.537888+2 1.432065-3 4.619335+2 1.439642-3 4.698152+2 1.449300-3 4.784429+2 1.458375-3 4.853227+2 1.473525-3 4.949948+2 1.487143-3 5.024319+2 1.502364-3 5.097185+2 1.542075-3 5.252742+2 1.577203-3 5.361385+2 1.623269-3 5.472421+2 1.669068-3 5.552799+2 1.744692-3 5.647804+2 1.828890-3 5.710884+2 1.929780-3 5.743642+2 2.065380-3 5.739720+2 2.199711-3 5.693950+2 2.376299-3 5.598007+2 2.607654-3 5.449172+2 2.916115-3 5.216035+2 3.136636-3 5.044965+2 3.453267-3 4.798349+2 3.901665-3 4.473361+2 4.376406-3 4.139261+2 4.763110-3 3.890492+2 5.307412-3 3.559335+2 5.704769-3 3.339936+2 5.935476-3 3.219762+2 6.407091-3 2.984691+2 6.949180-3 2.736739+2 7.493548-3 2.508535+2 8.089024-3 2.279502+2 8.639805-3 2.083464+2 8.897026-3 1.996324+2 9.345878-3 1.848258+2 9.689594-3 1.735999+2 9.854645-3 1.681404+2 1.012084-2 1.590323+2 1.030683-2 1.522246+2 1.040431-2 1.483895+2 1.054321-2 1.423747+2 1.059075-2 1.400838+2 1.064912-2 1.370179+2 1.070114-2 1.339572+2 1.074606-2 1.309776+2 1.079681-2 1.271585+2 1.086157-2 1.216517+2 1.094658-2 1.144860+2 1.098330-2 1.121253+2 1.101371-2 1.108083+2 1.104340-2 1.102029+2 1.107509-2 1.103526+2 1.110191-2 1.111023+2 1.114130-2 1.130902+2 1.119689-2 1.170880+2 1.127958-2 1.235921+2 1.133275-2 1.271762+2 1.136057-2 1.287632+2 1.140000-2 1.306818+2 1.145838-2 1.329096+2 1.151014-2 1.344144+2 1.161375-2 1.365493+2 1.173630-2 1.381262+2 1.187834-2 1.391499+2 1.205593-2 1.396536+2 1.235437-2 1.393153+2 1.271248-2 1.377873+2 1.300072-2 1.360827+2 1.349691-2 1.325731+2 1.407361-2 1.279710+2 1.496235-2 1.205904+2 1.603245-2 1.119214+2 1.742967-2 1.016255+2 1.913193-2 9.062683+1 2.098674-2 8.044130+1 2.287070-2 7.167915+1 2.489662-2 6.362256+1 2.680196-2 5.711730+1 2.991745-2 4.830581+1 3.535611-2 3.713785+1 3.892106-2 3.176604+1 4.441277-2 2.539824+1 5.582793-2 1.719418+1 7.180004-2 1.108240+1 8.914371-2 7.558150+0 1.080972-1 5.341012+0 1.284338-1 3.886768+0 1.596338-1 2.582831+0 2.068534-1 1.576017+0 2.852557-1 8.474771-1 3.981072-1 4.420387-1 6.099756-1 1.905057-1 1.120601+0 5.684096-2 3.384160+0 6.250047-3 1.022000+1 6.855203-4 3.086391+1 7.516842-5 9.320751+1 8.242084-6 2.814822+2 9.037269-7 8.500626+2 9.909169-8 3.162278+3 7.160429-9 1.000000+4 7.16043-10 3.162278+4 7.16043-11 1.000000+5 7.16043-12 1 32000 7 7 7.259000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.172100-7 1.258900-6 1.453700-6 1.584900-6 2.303900-6 1.995300-6 3.651500-6 2.511900-6 5.787200-6 3.162300-6 9.172000-6 3.981100-6 1.453700-5 5.011900-6 2.303900-5 6.309600-6 3.651400-5 7.943300-6 5.787000-5 1.000000-5 9.171600-5 1.258900-5 1.453600-4 1.584900-5 2.303700-4 1.995300-5 3.651100-4 2.511900-5 5.786400-4 3.162300-5 9.169500-4 3.981100-5 1.452700-3 5.011900-5 2.301400-3 6.309600-5 3.646300-3 7.943300-5 5.777400-3 1.000000-4 9.149700-3 1.258900-4 1.448300-2 1.584900-4 2.289700-2 1.995300-4 3.617900-2 2.511900-4 5.704800-2 3.162300-4 8.970900-2 3.981100-4 1.404300-1 5.011900-4 2.180300-1 6.309600-4 3.346900-1 7.943300-4 5.053600-1 1.000000-3 7.466500-1 1.258900-3 1.072900+0 1.584900-3 1.492100+0 1.995300-3 2.006100+0 2.511900-3 2.613900+0 3.162300-3 3.315500+0 3.981100-3 4.122200+0 5.011900-3 5.054100+0 6.309600-3 6.127100+0 7.943300-3 7.335300+0 1.000000-2 8.638500+0 1.258900-2 9.988000+0 1.584900-2 1.129200+1 1.995300-2 1.246400+1 2.511900-2 1.346700+1 3.162300-2 1.426900+1 3.981100-2 1.483500+1 5.011900-2 1.513500+1 6.309600-2 1.518000+1 7.943300-2 1.501000+1 1.000000-1 1.464800+1 1.258900-1 1.410800+1 1.584900-1 1.342900+1 1.995300-1 1.264900+1 2.511900-1 1.180300+1 3.162300-1 1.092500+1 3.981100-1 1.004100+1 5.011900-1 9.170400+0 6.309600-1 8.324600+0 7.943300-1 7.512400+0 1.000000+0 6.738000+0 1.258900+0 6.007000+0 1.584900+0 5.321600+0 1.995300+0 4.684600+0 2.511900+0 4.097900+0 3.162300+0 3.562800+0 3.981100+0 3.079300+0 5.011900+0 2.646800+0 6.309600+0 2.263100+0 7.943300+0 1.925800+0 1.000000+1 1.631500+0 1.258900+1 1.376700+0 1.584900+1 1.157400+0 1.995300+1 9.698100-1 2.511900+1 8.102000-1 3.162300+1 6.750400-1 3.981100+1 5.610400-1 5.011900+1 4.652700-1 6.309600+1 3.850800-1 7.943300+1 3.181200-1 1.000000+2 2.623800-1 1.258900+2 2.160700-1 1.584900+2 1.776900-1 1.995300+2 1.459500-1 2.511900+2 1.197300-1 3.162300+2 9.811600-2 3.981100+2 8.032300-2 5.011900+2 6.569500-2 6.309600+2 5.368500-2 7.943300+2 4.383400-2 1.000000+3 3.576300-2 1.258900+3 2.915700-2 1.584900+3 2.375500-2 1.995300+3 1.934200-2 2.511900+3 1.573900-2 3.162300+3 1.280000-2 3.981100+3 1.040300-2 5.011900+3 8.451400-3 6.309600+3 6.862200-3 7.943300+3 5.569200-3 1.000000+4 4.517800-3 1.258900+4 3.663300-3 1.584900+4 2.969100-3 1.995300+4 2.405600-3 2.511900+4 1.948200-3 3.162300+4 1.577200-3 3.981100+4 1.276400-3 5.011900+4 1.032600-3 6.309600+4 8.351100-4 7.943300+4 6.751600-4 1.000000+5 5.456800-4 1 32000 7 7 7.259000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159548-4 3.981072-4 3.976752-4 5.011872-4 5.005048-4 6.309573-4 6.298806-4 7.943282-4 7.926327-4 1.000000-3 9.973368-4 1.258925-3 1.254755-3 1.584893-3 1.578374-3 1.995262-3 1.985130-3 2.511886-3 2.496118-3 3.162278-3 3.137788-3 3.981072-3 3.942929-3 5.011872-3 4.952218-3 6.309573-3 6.216315-3 7.943282-3 7.797941-3 1.000000-2 9.773710-3 1.258925-2 1.223833-2 1.584893-2 1.530775-2 1.995262-2 1.912285-2 2.511886-2 2.385168-2 3.162278-2 2.969503-2 3.981072-2 3.689094-2 5.011872-2 4.572739-2 6.309573-2 5.652797-2 7.943282-2 6.967187-2 1.000000-1 8.556865-2 1.258925-1 1.047658-1 1.584893-1 1.278472-1 1.995262-1 1.554493-1 2.511886-1 1.884016-1 3.162278-1 2.275754-1 3.981072-1 2.739715-1 5.011872-1 3.287863-1 6.309573-1 3.933473-1 7.943282-1 4.693647-1 1.000000+0 5.588288-1 1.258925+0 6.641523-1 1.584893+0 7.884860-1 1.995262+0 9.355819-1 2.511886+0 1.110091+0 3.162278+0 1.317801+0 3.981072+0 1.565706+0 5.011872+0 1.862452+0 6.309573+0 2.218613+0 7.943282+0 2.647127+0 1.000000+1 3.163703+0 1.258925+1 3.787702+0 1.584893+1 4.542864+0 1.995262+1 5.457989+0 2.511886+1 6.568784+0 3.162278+1 7.918743+0 3.981072+1 9.561295+0 5.011872+1 1.156197+1 6.309573+1 1.400160+1 7.943282+1 1.697919+1 1.000000+2 2.061657+1 1.258925+2 2.506383+1 1.584893+2 3.050540+1 1.995262+2 3.716893+1 2.511886+2 4.533374+1 3.162278+2 5.534643+1 3.981072+2 6.763090+1 5.011872+2 8.271392+1 6.309573+2 1.012434+2 7.943282+2 1.240188+2 1.000000+3 1.520282+2 1.258925+3 1.864930+2 1.584893+3 2.289188+2 1.995262+3 2.811793+2 2.511886+3 3.455635+2 3.162278+3 4.249393+2 3.981072+3 5.228228+2 5.011872+3 6.435818+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739849-9 3.981072-5 4.341940-9 5.011872-5 6.881138-9 6.309573-5 1.090549-8 7.943282-5 1.728340-8 1.000000-4 2.738679-8 1.258925-4 4.339508-8 1.584893-4 6.874179-8 1.995262-4 1.089029-7 2.511886-4 1.724681-7 3.162278-4 2.730071-7 3.981072-4 4.319275-7 5.011872-4 6.824830-7 6.309573-4 1.076773-6 7.943282-4 1.695568-6 1.000000-3 2.663235-6 1.258925-3 4.170197-6 1.584893-3 6.518960-6 1.995262-3 1.013197-5 2.511886-3 1.576873-5 3.162278-3 2.448937-5 3.981072-3 3.814237-5 5.011872-3 5.965479-5 6.309573-3 9.325840-5 7.943282-3 1.453409-4 1.000000-2 2.262903-4 1.258925-2 3.509264-4 1.584893-2 5.411783-4 1.995262-2 8.297719-4 2.511886-2 1.267182-3 3.162278-2 1.927749-3 3.981072-2 2.919773-3 5.011872-2 4.391329-3 6.309573-2 6.567767-3 7.943282-2 9.760951-3 1.000000-1 1.443135-2 1.258925-1 2.112675-2 1.584893-1 3.064216-2 1.995262-1 4.407689-2 2.511886-1 6.278704-2 3.162278-1 8.865242-2 3.981072-1 1.241356-1 5.011872-1 1.724009-1 6.309573-1 2.376101-1 7.943282-1 3.249635-1 1.000000+0 4.411712-1 1.258925+0 5.947732-1 1.584893+0 7.964072-1 1.995262+0 1.059680+0 2.511886+0 1.401796+0 3.162278+0 1.844476+0 3.981072+0 2.415365+0 5.011872+0 3.149421+0 6.309573+0 4.090961+0 7.943282+0 5.296155+0 1.000000+1 6.836297+0 1.258925+1 8.801552+0 1.584893+1 1.130607+1 1.995262+1 1.449463+1 2.511886+1 1.855008+1 3.162278+1 2.370403+1 3.981072+1 3.024942+1 5.011872+1 3.855675+1 6.309573+1 4.909413+1 7.943282+1 6.245364+1 1.000000+2 7.938343+1 1.258925+2 1.008287+2 1.584893+2 1.279839+2 1.995262+2 1.623573+2 2.511886+2 2.058549+2 3.162278+2 2.608813+2 3.981072+2 3.304763+2 5.011872+2 4.184733+2 6.309573+2 5.297139+2 7.943282+2 6.703094+2 1.000000+3 8.479718+2 1.258925+3 1.072432+3 1.584893+3 1.355974+3 1.995262+3 1.714083+3 2.511886+3 2.166323+3 3.162278+3 2.737338+3 3.981072+3 3.458249+3 5.011872+3 4.368291+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.290000-6 2.553047+7 6.500000-6 2.433558+7 6.500000-6 3.682485+7 6.606934-6 3.598848+7 6.683439-6 3.537790+7 7.000000-6 3.294598+7 7.100000-6 3.219497+7 7.500000-6 2.938516+7 7.943282-6 2.650039+7 8.000000-6 2.615600+7 8.413951-6 2.374270+7 8.511380-6 2.321155+7 8.912509-6 2.112416+7 9.015711-6 2.062264+7 9.440609-6 1.866686+7 9.549926-6 1.819838+7 1.000000-5 1.638102+7 1.011579-5 1.594750+7 1.059254-5 1.427364+7 1.071519-5 1.387609+7 1.122018-5 1.234853+7 1.135011-5 1.198754+7 1.188502-5 1.060781+7 1.202264-5 1.028339+7 1.258925-5 9.049453+6 1.273503-5 8.760433+6 1.333521-5 7.667321+6 1.350000-5 7.395596+6 1.412538-5 6.453547+6 1.428894-5 6.230782+6 1.478000-5 5.607181+6 1.478000-5 6.052813+6 1.500000-5 5.745752+6 1.507000-5 5.652361+6 1.513561-5 5.565887+6 1.522000-5 5.455503+6 1.550000-5 5.109046+6 1.580000-5 4.769817+6 1.603245-5 4.527607+6 1.610000-5 4.460186+6 1.630000-5 4.263494+6 1.650000-5 4.078170+6 1.670000-5 3.903547+6 1.690000-5 3.738876+6 1.710000-5 3.583490+6 1.717908-5 3.524394+6 1.730000-5 3.435858+6 1.750000-5 3.293261+6 1.765000-5 3.191530+6 1.778279-5 3.105002+6 1.796800-5 2.989571+6 1.808000-5 2.922598+6 1.822000-5 2.841740+6 1.835000-5 2.769384+6 1.850000-5 2.689013+6 1.862087-5 2.625929+6 1.865000-5 2.610795+6 1.877000-5 2.549638+6 1.892000-5 2.475927+6 1.905461-5 2.412257+6 1.920000-5 2.346004+6 1.935000-5 2.280268+6 1.955300-5 2.195322+6 1.980000-5 2.097822+6 1.992000-5 2.052642+6 2.000000-5 2.023281+6 2.007000-5 1.997849+6 2.012000-5 1.979958+6 2.018366-5 1.957506+6 2.022000-5 1.944651+6 2.027000-5 1.927157+6 2.032000-5 1.909884+6 2.037000-5 1.892829+6 2.041738-5 1.876866+6 2.047000-5 1.859360+6 2.053000-5 1.839680+6 2.058000-5 1.823505+6 2.064000-5 1.804361+6 2.070000-5 1.785502+6 2.077000-5 1.763853+6 2.082000-5 1.748619+6 2.089296-5 1.726725+6 2.097000-5 1.704031+6 2.105000-5 1.680916+6 2.115000-5 1.652653+6 2.130000-5 1.611531+6 2.162719-5 1.526844+6 2.180000-5 1.484367+6 2.187762-5 1.465844+6 2.195000-5 1.448657+6 2.210000-5 1.413955+6 2.225000-5 1.380465+6 2.240000-5 1.348138+6 2.255000-5 1.316926+6 2.270000-5 1.286784+6 2.285000-5 1.257669+6 2.300000-5 1.229539+6 2.322000-5 1.189982+6 2.344229-5 1.151961+6 2.360000-5 1.126112+6 2.371374-5 1.107997+6 2.385000-5 1.086781+6 2.410000-5 1.049427+6 2.426610-5 1.025693+6 2.435000-5 1.013911+6 2.460000-5 9.799856+5 2.493000-5 9.379186+5 2.520000-5 9.056378+5 2.550000-5 8.718622+5 2.580000-5 8.401348+5 2.610000-5 8.103095+5 2.650000-5 7.732703+5 2.660725-5 7.637959+5 2.691535-5 7.376599+5 2.730000-5 7.071418+5 2.770000-5 6.777421+5 2.800000-5 6.570729+5 2.818383-5 6.450348+5 2.870000-5 6.132258+5 2.920000-5 5.851748+5 2.985383-5 5.521165+5 3.060000-5 5.187595+5 3.126079-5 4.925758+5 3.198895-5 4.668647+5 3.273407-5 4.435002+5 3.311311-5 4.325361+5 3.357300-5 4.204242+5 3.467369-5 3.943683+5 3.548134-5 3.775416+5 3.589219-5 3.699140+5 3.715352-5 3.489163+5 3.801894-5 3.361388+5 3.819000-5 3.338701+5 3.819000-5 1.376976+6 3.845918-5 1.361908+6 3.850000-5 1.359660+6 3.880000-5 1.343152+6 3.882000-5 1.342278+6 3.882000-5 1.978150+6 3.950000-5 1.949968+6 4.000000-5 1.934495+6 4.027170-5 1.928729+6 4.073803-5 1.919296+6 4.130000-5 1.914017+6 4.168694-5 1.914340+6 4.200000-5 1.914494+6 4.220000-5 1.917736+6 4.265795-5 1.925423+6 4.315191-5 1.941412+6 4.330000-5 1.946273+6 4.350000-5 1.955918+6 4.400000-5 1.979979+6 4.415704-5 1.989974+6 4.470000-5 2.025061+6 4.518559-5 2.063799+6 4.540000-5 2.081036+6 4.570882-5 2.110418+6 4.623810-5 2.161778+6 4.720000-5 2.272643+6 4.731513-5 2.286888+6 4.820000-5 2.406357+6 4.850000-5 2.449655+6 4.900000-5 2.526928+6 4.954502-5 2.613745+6 5.011872-5 2.710318+6 5.080000-5 2.831558+6 5.150000-5 2.961120+6 5.188000-5 3.034067+6 5.248075-5 3.152198+6 5.400000-5 3.468514+6 5.432503-5 3.537306+6 5.450000-5 3.574832+6 5.495409-5 3.671802+6 5.580000-5 3.857664+6 5.623413-5 3.951857+6 5.650000-5 4.010479+6 5.754399-5 4.240546+6 5.821032-5 4.385413+6 5.900000-5 4.556326+6 5.956621-5 4.675143+6 6.025596-5 4.818423+6 6.070000-5 4.912342+6 6.095369-5 4.963216+6 6.165950-5 5.101484+6 6.237348-5 5.243710+6 6.400000-5 5.542098+6 6.456542-5 5.635867+6 6.500000-5 5.708547+6 6.531306-5 5.761246+6 6.580000-5 5.843631+6 6.683439-5 5.998139+6 6.760830-5 6.115032+6 6.918310-5 6.323876+6 6.950000-5 6.366243+6 7.000000-5 6.423677+6 7.079458-5 6.515096+6 7.161434-5 6.609846+6 7.413102-5 6.855010+6 7.500000-5 6.925249+6 7.673615-5 7.065346+6 7.943282-5 7.241676+6 8.000000-5 7.278621+6 8.035261-5 7.296640+6 8.128305-5 7.344077+6 8.413951-5 7.488208+6 8.511380-5 7.525565+6 8.810489-5 7.639033+6 8.912509-5 7.666236+6 9.332543-5 7.776004+6 9.800000-5 7.844633+6 9.885531-5 7.851976+6 1.023293-4 7.866598+6 1.040000-4 7.863822+6 1.071519-4 7.846076+6 1.083927-4 7.831751+6 1.109175-4 7.792887+6 1.122018-4 7.773487+6 1.135011-4 7.746257+6 1.161449-4 7.681254+6 1.174898-4 7.648955+6 1.190000-4 7.604401+6 1.230269-4 7.475480+6 1.244515-4 7.424326+6 1.249800-4 7.403847+6 1.249800-4 7.685923+6 1.258925-4 7.652204+6 1.273503-4 7.599143+6 1.280000-4 7.575825+6 1.291200-4 7.537040+6 1.293800-4 7.526873+6 1.293800-4 7.653300+6 1.303167-4 7.617266+6 1.310000-4 7.589222+6 1.320000-4 7.549284+6 1.350000-4 7.433739+6 1.364583-4 7.379869+6 1.380000-4 7.318086+6 1.380384-4 7.316464+6 1.428894-4 7.120037+6 1.445440-4 7.056263+6 1.450000-4 7.039007+6 1.462177-4 6.989626+6 1.540000-4 6.680130+6 1.548817-4 6.647422+6 1.566751-4 6.574306+6 1.603245-4 6.432004+6 1.621810-4 6.362608+6 1.650000-4 6.261061+6 1.698244-4 6.078419+6 1.757924-4 5.868508+6 1.760000-4 5.861234+6 1.778279-4 5.794216+6 1.792500-4 5.742706+6 1.792500-4 5.985036+6 1.798871-4 5.961988+6 1.800000-4 5.957926+6 1.828300-4 5.858258+6 1.850000-4 5.784150+6 1.862087-4 5.743344+6 1.900000-4 5.608248+6 1.905461-4 5.589273+6 1.972423-4 5.365284+6 1.980000-4 5.339882+6 2.018366-4 5.209787+6 2.041738-4 5.133796+6 2.065380-4 5.058890+6 2.089296-4 4.984506+6 2.120000-4 4.886253+6 2.162719-4 4.755284+6 2.220000-4 4.587503+6 2.238721-4 4.533697+6 2.264644-4 4.458753+6 2.290868-4 4.384223+6 2.330000-4 4.277382+6 2.371374-4 4.169172+6 2.400000-4 4.096584+6 2.426610-4 4.028107+6 2.450000-4 3.969586+6 2.454709-4 3.957932+6 2.483133-4 3.888929+6 2.511886-4 3.820632+6 2.570396-4 3.688323+6 2.580000-4 3.667297+6 2.600160-4 3.623072+6 2.691535-4 3.427163+6 2.730000-4 3.349905+6 2.754229-4 3.302250+6 2.786121-4 3.241320+6 2.800000-4 3.214982+6 2.818383-4 3.179748+6 2.884032-4 3.058255+6 2.951209-4 2.940812+6 2.985383-4 2.883732+6 3.000000-4 2.859510+6 3.019952-4 2.826878+6 3.054921-4 2.769973+6 3.126079-4 2.658921+6 3.198895-4 2.552381+6 3.200000-4 2.550821+6 3.235937-4 2.500128+6 3.273407-4 2.447996+6 3.311311-4 2.396587+6 3.350000-4 2.345948+6 3.467369-4 2.202151+6 3.507519-4 2.155755+6 3.548134-4 2.109969+6 3.550000-4 2.107865+6 3.672823-4 1.975973+6 3.758374-4 1.891953+6 3.780000-4 1.871400+6 3.801894-4 1.850845+6 3.850000-4 1.806489+6 3.890451-4 1.769956+6 3.981072-4 1.692335+6 4.027170-4 1.654841+6 4.073803-4 1.617661+6 4.120975-4 1.581396+6 4.216965-4 1.510791+6 4.315191-4 1.442511+6 4.350000-4 1.419386+6 4.500000-4 1.325027+6 4.518559-4 1.313935+6 4.600000-4 1.266959+6 4.677351-4 1.224267+6 4.731513-4 1.195575+6 4.786301-4 1.167343+6 4.841724-4 1.139836+6 4.954502-4 1.086810+6 5.011872-4 1.061139+6 5.069907-4 1.035859+6 5.128614-4 1.011099+6 5.370318-4 9.173053+5 5.495409-4 8.737244+5 5.500000-4 8.721784+5 5.559043-4 8.526095+5 5.623413-4 8.315778+5 5.821032-4 7.717888+5 5.888437-4 7.529077+5 5.956621-4 7.343917+5 6.095369-4 6.986544+5 6.165950-4 6.812702+5 6.456542-4 6.156125+5 6.531306-4 6.002927+5 6.683439-4 5.705520+5 6.760830-4 5.561278+5 6.839116-4 5.420936+5 6.918310-4 5.284386+5 7.079458-4 5.020077+5 7.161434-4 4.892195+5 7.300000-4 4.687033+5 7.328245-4 4.646374+5 7.585776-4 4.297140+5 7.762471-4 4.080039+5 7.943282-4 3.871980+5 8.000000-4 3.809839+5 8.035261-4 3.771962+5 8.222426-4 3.578280+5 8.511380-4 3.306172+5 8.609938-4 3.219994+5 8.709636-4 3.136205+5 8.810489-4 3.054219+5 9.000000-4 2.907012+5 9.225714-4 2.745153+5 9.332543-4 2.672687+5 9.549926-4 2.533058+5 9.700000-4 2.442920+5 9.772372-4 2.400738+5 9.885531-4 2.336563+5 1.000000-3 2.274197+5 1.023293-3 2.154710+5 1.030000-3 2.121923+5 1.059254-3 1.986572+5 1.071519-3 1.933449+5 1.083927-3 1.881250+5 1.109175-3 1.780853+5 1.135011-3 1.686114+5 1.148154-3 1.640501+5 1.161449-3 1.596050+5 1.174898-3 1.552862+5 1.190000-3 1.506390+5 1.216186-3 1.429740+5 1.222800-3 1.411143+5 1.222800-3 2.984139+5 1.222970-3 3.041793+5 1.223250-3 3.174562+5 1.223500-3 3.292943+5 1.223750-3 3.410269+5 1.224100-3 3.572669+5 1.224400-3 3.709505+5 1.224700-3 3.842810+5 1.225000-3 3.973611+5 1.225400-3 4.141997+5 1.225850-3 4.322186+5 1.226350-3 4.510787+5 1.226800-3 4.669680+5 1.227300-3 4.833420+5 1.227700-3 4.954513+5 1.228000-3 5.029112+5 1.229500-3 5.313134+5 1.230269-3 5.436651+5 1.230300-3 5.441712+5 1.230500-3 5.469027+5 1.232500-3 5.688000+5 1.235000-3 5.885616+5 1.236000-3 5.931290+5 1.240000-3 6.038810+5 1.245000-3 6.093151+5 1.255400-3 6.090953+5 1.255400-3 6.842773+5 1.255600-3 6.872358+5 1.255900-3 6.941506+5 1.256200-3 7.010104+5 1.256500-3 7.078172+5 1.256800-3 7.145711+5 1.257150-3 7.222153+5 1.257500-3 7.297295+5 1.257850-3 7.369738+5 1.258200-3 7.439482+5 1.258650-3 7.525411+5 1.258925-3 7.574952+5 1.259000-3 7.588756+5 1.259500-3 7.673873+5 1.260000-3 7.752091+5 1.260500-3 7.822322+5 1.261000-3 7.886354+5 1.261700-3 7.965643+5 1.262200-3 8.015279+5 1.263000-3 8.083602+5 1.263800-3 8.139329+5 1.264500-3 8.179132+5 1.265600-3 8.227657+5 1.266500-3 8.256730+5 1.268000-3 8.289197+5 1.269500-3 8.307548+5 1.272200-3 8.326160+5 1.275000-3 8.330082+5 1.283000-3 8.296923+5 1.288000-3 8.260807+5 1.288250-3 8.258863+5 1.290000-3 8.245279+5 1.303167-3 8.109235+5 1.305000-3 8.090685+5 1.313000-3 8.001064+5 1.318257-3 7.933240+5 1.323000-3 7.872696+5 1.348963-3 7.514854+5 1.364583-3 7.310537+5 1.368000-3 7.266899+5 1.380384-3 7.103890+5 1.396368-3 6.900995+5 1.402300-3 6.825674+5 1.402300-3 7.753996+5 1.412538-3 7.619354+5 1.445440-3 7.208896+5 1.450000-3 7.153498+5 1.462177-3 7.008340+5 1.500000-3 6.587794+5 1.513561-3 6.446496+5 1.531087-3 6.270214+5 1.570000-3 5.902928+5 1.621810-3 5.457364+5 1.640590-3 5.307529+5 1.698244-3 4.882618+5 1.717908-3 4.748831+5 1.757924-3 4.488904+5 1.778279-3 4.364383+5 1.819701-3 4.124266+5 1.840772-3 4.009164+5 1.905461-3 3.683265+5 1.927525-3 3.579471+5 1.949845-3 3.478684+5 1.972423-3 3.380816+5 1.995262-3 3.285113+5 2.041738-3 3.100934+5 2.065380-3 3.012739+5 2.089296-3 2.927101+5 2.137962-3 2.761137+5 2.150000-3 2.722146+5 2.162719-3 2.681535+5 2.213095-3 2.528882+5 2.220000-3 2.508916+5 2.290868-3 2.316257+5 2.317395-3 2.249543+5 2.344229-3 2.184724+5 2.350000-3 2.171130+5 2.426610-3 2.000428+5 2.500000-3 1.854198+5 2.570396-3 1.726106+5 2.630268-3 1.625672+5 2.660725-3 1.577673+5 2.691535-3 1.531124+5 2.722701-3 1.485986+5 2.754229-3 1.442213+5 2.786121-3 1.399760+5 2.818383-3 1.358287+5 2.884032-3 1.279051+5 2.917427-3 1.241096+5 2.951209-3 1.204301+5 3.000000-3 1.153775+5 3.019952-3 1.133839+5 3.090295-3 1.067290+5 3.126079-3 1.035535+5 3.162278-3 1.004745+5 3.198895-3 9.748951+4 3.200000-3 9.740049+4 3.300000-3 8.979155+4 3.311311-3 8.897983+4 3.427678-3 8.115211+4 3.467369-3 7.870307+4 3.548134-3 7.403063+4 3.630781-3 6.963954+4 3.672823-3 6.754439+4 3.715352-3 6.549998+4 3.758374-3 6.351918+4 3.845918-3 5.973695+4 3.890451-3 5.791440+4 3.935501-3 5.614882+4 4.027170-3 5.278195+4 4.073803-3 5.117693+4 4.168694-3 4.811447+4 4.265795-3 4.521707+4 4.315191-3 4.383510+4 4.365158-3 4.248984+4 4.415704-3 4.118222+4 4.466836-3 3.991580+4 4.570882-3 3.750187+4 4.623810-3 3.635170+4 4.841724-3 3.210053+4 4.897788-3 3.111196+4 5.011872-3 2.921350+4 5.069907-3 2.830933+4 5.188000-3 2.657962+4 5.248075-3 2.575583+4 5.495409-3 2.271358+4 5.623413-3 2.133264+4 5.688529-3 2.066628+4 5.754399-3 2.002073+4 5.888437-3 1.879112+4 5.956621-3 1.820571+4 6.000000-3 1.784516+4 6.095369-3 1.708637+4 6.237348-3 1.603759+4 6.382635-3 1.505423+4 6.456542-3 1.458289+4 6.500000-3 1.431526+4 6.531306-3 1.412565+4 6.683439-3 1.325222+4 6.839116-3 1.243345+4 6.918310-3 1.204359+4 7.079458-3 1.129910+4 7.161434-3 1.094452+4 7.328245-3 1.026930+4 7.413102-3 9.945373+3 7.673615-3 9.030766+3 7.762471-3 8.745499+3 7.852356-3 8.469207+3 7.943282-3 8.201771+3 8.035261-3 7.942359+3 8.317638-3 7.213112+3 8.511380-3 6.765524+3 8.609938-3 6.550748+3 8.810489-3 6.140054+3 9.015711-3 5.755781+3 9.225714-3 5.395645+3 9.332543-3 5.223808+3 9.660509-3 4.741291+3 9.772372-3 4.590828+3 9.885531-3 4.445272+3 1.000000-2 4.303239+3 1.035142-2 3.902774+3 1.047129-2 3.777910+3 1.059254-2 3.657013+3 1.071519-2 3.540017+3 1.083927-2 3.426852+3 1.096478-2 3.317163+3 1.106700-2 3.231378+3 1.106700-2 2.396274+4 1.109175-2 2.383216+4 1.114000-2 2.358047+4 1.122018-2 2.317048+4 1.122500-2 2.314616+4 1.135011-2 2.247842+4 1.140000-2 2.221957+4 1.150000-2 2.173867+4 1.174898-2 2.060168+4 1.202264-2 1.940078+4 1.216186-2 1.882691+4 1.230269-2 1.826998+4 1.244515-2 1.773757+4 1.273503-2 1.671913+4 1.303167-2 1.575920+4 1.333521-2 1.485472+4 1.364583-2 1.397520+4 1.396368-2 1.314762+4 1.412538-2 1.275244+4 1.428894-2 1.236919+4 1.462177-2 1.163691+4 1.500000-2 1.087015+4 1.513561-2 1.061215+4 1.548817-2 9.979687+3 1.584893-2 9.384347+3 1.640590-2 8.557188+3 1.659587-2 8.298044+3 1.678804-2 8.046732+3 1.730000-2 7.426390+3 1.778279-2 6.888094+3 1.819701-2 6.467882+3 1.840772-2 6.267270+3 1.862087-2 6.072899+3 1.883649-2 5.884509+3 1.927525-2 5.525135+3 1.949845-2 5.353775+3 2.137962-2 4.161309+3 2.187762-2 3.907036+3 2.213095-2 3.783265+3 2.264644-2 3.547328+3 2.290868-2 3.434942+3 2.344229-2 3.220731+3 2.371374-2 3.118700+3 2.483133-2 2.741968+3 2.500000-2 2.690574+3 2.511886-2 2.655100+3 2.600160-2 2.410527+3 2.630268-2 2.334118+3 2.660725-2 2.260137+3 2.691535-2 2.188488+3 2.754229-2 2.051923+3 2.786121-2 1.985756+3 2.851018-2 1.859765+3 2.951209-2 1.685637+3 2.985383-2 1.631239+3 3.090295-2 1.478372+3 3.162278-2 1.384517+3 3.198895-2 1.339846+3 3.235937-2 1.296617+3 3.311311-2 1.214285+3 3.349654-2 1.175104+3 3.388442-2 1.137189+3 3.467369-2 1.064005+3 3.507519-2 1.029202+3 3.548134-2 9.955010+2 3.758374-2 8.428659+2 3.801894-2 8.152705+2 4.027170-2 6.902842+2 4.073803-2 6.676875+2 4.120975-2 6.458322+2 4.168694-2 6.246916+2 4.216965-2 6.039719+2 4.365158-2 5.458496+2 4.518559-2 4.933276+2 4.786301-2 4.167805+2 5.011872-2 3.641966+2 5.069907-2 3.521103+2 5.128614-2 3.404254+2 5.248075-2 3.179717+2 5.308844-2 3.073064+2 5.623413-2 2.591094+2 5.821032-2 2.339034+2 6.000000-2 2.138316+2 6.025596-2 2.111517+2 6.095369-2 2.040712+2 6.165950-2 1.972215+2 6.249250-2 1.895274+2 6.382635-2 1.780220+2 6.456542-2 1.719911+2 7.328245-2 1.177239+2 7.498942-2 1.098843+2 7.673615-2 1.025605+2 8.128305-2 8.631715+1 8.222426-2 8.339111+1 8.912509-2 6.536816+1 9.015711-2 6.313352+1 9.225714-2 5.889109+1 9.332543-2 5.687808+1 9.549926-2 5.305626+1 9.772372-2 4.948864+1 9.885531-2 4.779599+1 1.035142-1 4.158509+1 1.047129-1 4.016265+1 1.071519-1 3.746237+1 1.135011-1 3.147958+1 1.188502-1 2.738951+1 1.216186-1 2.554836+1 1.230269-1 2.467480+1 1.364583-1 1.804188+1 1.396368-1 1.682944+1 1.428894-1 1.569848+1 1.445440-1 1.516185+1 1.462177-1 1.464362+1 1.479108-1 1.414311+1 1.566751-1 1.188581+1 1.584893-1 1.147959+1 1.621810-1 1.070832+1 1.678804-1 9.647562+0 1.717908-1 8.999508+0 1.737801-1 8.691989+0 1.778279-1 8.113602+0 1.819701-1 7.573697+0 1.840772-1 7.317407+0 1.862087-1 7.069795+0 1.883649-1 6.830729+0 1.927525-1 6.376605+0 1.949845-1 6.161010+0 2.000000-1 5.710859+0 2.137962-1 4.679072+0 2.162719-1 4.520884+0 2.187762-1 4.368056+0 2.213095-1 4.220407+0 2.238721-1 4.077754+0 2.317395-1 3.683020+0 2.344229-1 3.560148+0 2.454709-1 3.108848+0 2.483133-1 3.005278+0 2.540973-1 2.808375+0 2.570396-1 2.714818+0 2.630268-1 2.536952+0 2.722701-1 2.295262+0 2.754229-1 2.219950+0 2.818383-1 2.076883+0 2.851018-1 2.008845+0 3.000060-1 1.733497+0 3.019952-1 1.700672+0 3.054921-1 1.645849+0 3.090295-1 1.592794+0 3.162278-1 1.491763+0 3.198895-1 1.443690+0 3.311311-1 1.308790+0 3.349654-1 1.266689+0 3.388442-1 1.225942+0 3.427678-1 1.186507+0 3.548134-1 1.077611+0 3.589219-1 1.043581+0 3.630781-1 1.010634+0 3.672823-1 9.787895-1 3.715352-1 9.479491-1 3.801894-1 8.891527-1 3.845918-1 8.611383-1 3.890451-1 8.345411-1 3.935501-1 8.087646-1 3.981072-1 7.837850-1 4.027170-1 7.595794-1 4.073803-1 7.361285-1 4.168694-1 6.914641-1 4.265795-1 6.495126-1 4.365158-1 6.109179-1 4.415705-1 5.924909-1 4.466836-1 5.746203-1 4.518559-1 5.572889-1 4.570882-1 5.405220-1 4.623810-1 5.242604-1 4.731513-1 4.931918-1 4.786301-1 4.786960-1 4.841724-1 4.646261-1 4.897788-1 4.509703-1 5.011872-1 4.248508-1 5.069907-1 4.123972-1 5.128614-1 4.003091-1 5.188000-1 3.885773-1 5.248075-1 3.771890-1 5.308844-1 3.664128-1 5.370318-1 3.559443-1 5.559043-1 3.262997-1 5.623413-1 3.170043-1 5.688529-1 3.079739-1 5.821032-1 2.906788-1 6.025596-1 2.671563-1 6.095369-1 2.597471-1 6.165950-1 2.525645-1 6.237348-1 2.455810-1 6.382635-1 2.321886-1 6.531306-1 2.198676-1 6.606935-1 2.139550-1 6.683439-1 2.082015-1 6.760830-1 2.026195-1 6.839117-1 1.971873-1 6.998420-1 1.867567-1 7.079458-1 1.819189-1 7.161434-1 1.772069-1 7.244360-1 1.726170-1 7.328245-1 1.681461-1 7.413102-1 1.638056-1 7.673615-1 1.514455-1 7.762471-1 1.476546-1 7.852356-1 1.439585-1 8.035261-1 1.368418-1 8.128305-1 1.334167-1 8.222427-1 1.300885-1 8.317638-1 1.268434-1 8.511380-1 1.205948-1 8.609938-1 1.176610-1 8.810489-1 1.120062-1 8.912509-1 1.092816-1 9.015711-1 1.066330-1 9.225714-1 1.015279-1 9.332543-1 9.906774-2 9.440609-1 9.666745-2 9.660509-1 9.220245-2 9.772372-1 9.005691-2 9.885531-1 8.796142-2 1.000000+0 8.591499-2 1.023293+0 8.196385-2 1.035142+0 8.010352-2 1.047129+0 7.828549-2 1.059254+0 7.650900-2 1.083927+0 7.307601-2 1.096478+0 7.142221-2 1.109175+0 6.980576-2 1.122018+0 6.822617-2 1.135011+0 6.668224-2 1.148154+0 6.517344-2 1.174898+0 6.236011-2 1.188600+0 6.098991-2 1.202264+0 5.966864-2 1.244515+0 5.586103-2 1.250000+0 5.540748-2 1.258925+0 5.468159-2 1.288250+0 5.239698-2 1.303167+0 5.129078-2 1.333521+0 4.914800-2 1.380384+0 4.611103-2 1.396368+0 4.514120-2 1.412538+0 4.421911-2 1.428894+0 4.331591-2 1.462177+0 4.156449-2 1.479108+0 4.071553-2 1.496236+0 3.988694-2 1.513561+0 3.907528-2 1.531087+0 3.828011-2 1.548817+0 3.750112-2 1.584893+0 3.603915-2 1.640590+0 3.395251-2 1.659587+0 3.328418-2 1.678804+0 3.263147-2 1.698244+0 3.199154-2 1.717908+0 3.136421-2 1.737801+0 3.074916-2 1.778279+0 2.959374-2 1.819701+0 2.848181-2 1.840772+0 2.794162-2 1.862087+0 2.741168-2 1.883649+0 2.689375-2 1.905461+0 2.638559-2 1.927525+0 2.588705-2 1.949845+0 2.539794-2 2.000000+0 2.438615-2 2.018366+0 2.403196-2 2.065380+0 2.316242-2 2.089296+0 2.273953-2 2.113489+0 2.232457-2 2.137962+0 2.191854-2 2.162719+0 2.151989-2 2.187762+0 2.112851-2 2.213095+0 2.074429-2 2.264644+0 2.002121-2 2.290868+0 1.966921-2 2.344229+0 1.898367-2 2.371374+0 1.864992-2 2.398833+0 1.832220-2 2.426610+0 1.800127-2 2.454709+0 1.768597-2 2.483133+0 1.737619-2 2.511886+0 1.707187-2 2.570396+0 1.649843-2 2.600160+0 1.621901-2 2.660725+0 1.567428-2 2.691535+0 1.540882-2 2.722701+0 1.514798-2 2.754229+0 1.489236-2 2.818383+0 1.439399-2 2.851018+0 1.415110-2 2.884032+0 1.391232-2 2.951209+0 1.346164-2 2.985383+0 1.324182-2 3.054921+0 1.281290-2 3.090295+0 1.260368-2 3.126079+0 1.239797-2 3.162278+0 1.219626-2 3.235937+0 1.180263-2 3.273407+0 1.161060-2 3.311311+0 1.142172-2 3.388442+0 1.106447-2 3.467369+0 1.071843-2 3.548134+0 1.038321-2 3.589219+0 1.021956-2 3.630781+0 1.005856-2 3.672823+0 9.900588-3 3.758374+0 9.592052-3 3.801894+0 9.441408-3 3.845918+0 9.293145-3 3.935501+0 9.012209-3 4.027170+0 8.739792-3 4.168694+0 8.346525-3 4.216965+0 8.219411-3 4.265795+0 8.094291-3 4.315191+0 7.971444-3 4.415704+0 7.731320-3 4.466836+0 7.613982-3 4.518559+0 7.498440-3 4.623810+0 7.279259-3 4.731513+0 7.066504-3 4.954502+0 6.659469-3 5.011872+0 6.561429-3 5.069907+0 6.464876-3 5.128614+0 6.370021-3 5.248075+0 6.184469-3 5.308844+0 6.093731-3 5.370318+0 6.004331-3 5.495409+0 5.834519-3 5.623413+0 5.669524-3 5.956621+0 5.277163-3 6.025596+0 5.202011-3 6.095369+0 5.127961-3 6.165950+0 5.055161-3 6.309573+0 4.912649-3 6.456542+0 4.774153-3 6.531306+0 4.706382-3 6.683439+0 4.577390-3 6.839116+0 4.451944-3 7.244360+0 4.153163-3 7.328245+0 4.095859-3 7.413102+0 4.039368-3 7.498942+0 3.983803-3 7.673615+0 3.874956-3 7.852356+0 3.769084-3 7.943282+0 3.717240-3 8.035261+0 3.666111-3 8.222427+0 3.568719-3 8.413951+0 3.473923-3 8.912509+0 3.247802-3 9.015711+0 3.204377-3 9.120108+0 3.161548-3 9.225714+0 3.119397-3 9.549926+0 2.996288-3 9.772372+0 2.916927-3 9.885531+0 2.878039-3 1.011579+1 2.801817-3 1.035142+1 2.729453-3 1.059254+1 2.658963-3 1.135011+1 2.458231-3 1.148154+1 2.426281-3 1.161449+1 2.394758-3 1.174898+1 2.363713-3 1.216186+1 2.272975-3 1.244515+1 2.214425-3 1.273503+1 2.157387-3 1.318257+1 2.074574-3 1.348963+1 2.022428-3 1.364583+1 1.996850-3 1.445440+1 1.873731-3 1.462177+1 1.850035-3 1.479108+1 1.826645-3 1.496236+1 1.803550-3 1.513561+1 1.780796-3 1.566751+1 1.714240-3 1.603245+1 1.671258-3 1.678804+1 1.588499-3 1.778279+1 1.490795-3 1.840772+1 1.436209-3 1.883649+1 1.400936-3 1.995262+1 1.316497-3 2.000000+1 1.313129-3 2.018366+1 1.300230-3 2.041738+1 1.284203-3 2.089296+1 1.252741-3 2.213095+1 1.177417-3 2.371374+1 1.092987-3 2.454709+1 1.053773-3 2.540973+1 1.015967-3 2.818383+1 9.104960-4 2.851018+1 8.994749-4 2.884032+1 8.885869-4 2.917427+1 8.778485-4 2.985383+1 8.567646-4 3.090295+1 8.260849-4 3.273407+1 7.773744-4 3.507519+1 7.226999-4 3.630781+1 6.972263-4 3.758374+1 6.726519-4 4.265795+1 5.897270-4 4.315191+1 5.827154-4 4.365158+1 5.757873-4 4.466836+1 5.621961-4 4.570882+1 5.489288-4 4.786301+1 5.233259-4 5.128614+1 4.871439-4 5.559043+1 4.480819-4 5.821032+1 4.274572-4 5.956621+1 4.175040-4 7.079458+1 3.498813-4 7.244360+1 3.417345-4 7.498942+1 3.298808-4 7.673615+1 3.222088-4 8.317638+1 2.967351-4 9.440609+1 2.607126-4 1.071519+2 2.290637-4 1.135011+2 2.160975-4 1.148154+2 2.135938-4 1.318257+2 1.857184-4 1.348963+2 1.814399-4 1.396368+2 1.752107-4 1.462177+2 1.672372-4 1.659587+2 1.471318-4 1.883649+2 1.294438-4 2.137962+2 1.138823-4 2.264644+2 1.074826-4 2.290868+2 1.062465-4 2.630268+2 9.247686-5 2.691535+2 9.036206-5 2.786121+2 8.728177-5 2.917427+2 8.333771-5 3.311311+2 7.338649-5 3.758374+2 6.462358-5 8.511380+2 2.844072-5 9.015711+2 2.684853-5 9.120108+2 2.654096-5 1.047129+3 2.311366-5 1.071519+3 2.258713-5 1.109175+3 2.181991-5 1.161449+3 2.083738-5 1.318257+3 1.835761-5 2.985383+3 8.102954-6 5.370318+4 4.498176-7 5.688529+4 4.246611-7 5.754399+4 4.198012-7 1.000000+5 2.416025-7 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.290000-6 6.290000-6 6.500000-6 6.290000-6 6.500000-6 6.361222-6 1.478000-5 6.365335-6 1.478000-5 6.984856-6 1.580000-5 6.787492-6 1.690000-5 6.619746-6 1.808000-5 6.489285-6 1.920000-5 6.412495-6 2.032000-5 6.382194-6 2.130000-5 6.394690-6 2.240000-5 6.452578-6 2.344229-5 6.550177-6 2.460000-5 6.705854-6 2.580000-5 6.916947-6 2.691535-5 7.153361-6 2.818383-5 7.462276-6 2.985383-5 7.917853-6 3.548134-5 9.574065-6 3.801894-5 1.025151-5 3.819000-5 1.029415-5 3.819000-5 2.106238-5 3.882000-5 2.109538-5 3.882000-5 2.216439-5 4.315191-5 2.255489-5 5.011872-5 2.337509-5 5.450000-5 2.372010-5 6.025596-5 2.396958-5 7.000000-5 2.414298-5 9.332543-5 2.426028-5 1.249800-4 2.430302-5 1.249800-4 2.513002-5 1.293800-4 2.517162-5 1.293800-4 2.553297-5 1.462177-4 2.585348-5 1.698244-4 2.647312-5 1.792500-4 2.675699-5 1.792500-4 2.813351-5 2.290868-4 2.980448-5 2.818383-4 3.130315-5 3.350000-4 3.259534-5 4.027170-4 3.402088-5 4.841724-4 3.546845-5 5.821032-4 3.692911-5 6.918310-4 3.828947-5 8.222426-4 3.961250-5 9.772372-4 4.088040-5 1.161449-3 4.208501-5 1.222800-3 4.243052-5 1.222800-3 5.633143-5 1.223750-3 5.791224-5 1.224700-3 5.915793-5 1.225850-3 6.024897-5 1.227300-3 6.117767-5 1.228000-3 6.148546-5 1.230500-3 6.211031-5 1.235000-3 6.264408-5 1.245000-3 6.298003-5 1.255400-3 6.310521-5 1.255400-3 6.383671-5 1.260000-3 6.457523-5 1.265600-3 6.492590-5 1.290000-3 6.515494-5 1.402300-3 6.529854-5 1.402300-3 6.952249-5 1.840772-3 7.085653-5 2.660725-3 7.282320-5 3.845918-3 7.502574-5 5.248075-3 7.701556-5 7.161434-3 7.909714-5 9.332543-3 8.087166-5 1.106700-2 8.199802-5 1.106700-2 1.002371-4 1.927525-2 1.009548-4 4.168694-2 1.015083-4 1.364583-1 1.018649-4 2.985383+0 1.020035-4 1.000000+5 1.020035-4 1 32000 7 7 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.290000-6 0.0 3.882000-5 0.0 3.882000-5 8.35410-11 3.950000-5 8.48422-11 4.027170-5 8.58822-11 4.073803-5 8.63676-11 4.130000-5 8.66814-11 4.350000-5 8.70198-11 4.570882-5 8.79738-11 4.820000-5 8.94995-11 5.248075-5 9.24755-11 5.495409-5 9.39622-11 5.650000-5 9.48445-11 6.025596-5 9.64806-11 6.580000-5 9.82138-11 7.161434-5 9.93692-11 8.128305-5 1.00461-10 9.332543-5 1.01243-10 1.109175-4 1.01977-10 1.249800-4 1.02390-10 1.249800-4 2.22522-10 1.280000-4 2.26140-10 1.293800-4 2.28321-10 1.293800-4 2.85966-10 1.320000-4 2.91767-10 1.364583-4 3.03281-10 1.450000-4 3.29378-10 1.548817-4 3.63964-10 1.621810-4 3.93074-10 1.650000-4 4.04833-10 1.792500-4 4.69248-10 1.792500-4 5.90001-10 1.980000-4 6.80836-10 2.162719-4 7.66834-10 2.330000-4 8.40292-10 2.511886-4 9.15760-10 2.754229-4 1.009348-9 2.951209-4 1.080120-9 3.273407-4 1.187383-9 3.550000-4 1.273199-9 3.801894-4 1.346047-9 4.073803-4 1.419723-9 4.350000-4 1.490034-9 4.841724-4 1.605100-9 5.128614-4 1.667529-9 5.623413-4 1.765283-9 6.165950-4 1.862255-9 6.760830-4 1.958581-9 7.328245-4 2.040487-9 8.222426-4 2.153534-9 9.000000-4 2.239395-9 1.000000-3 2.334412-9 1.109175-3 2.423564-9 1.222800-3 2.502389-9 1.222800-3 8.250595-6 1.222970-3 8.393279-6 1.223250-3 8.700615-6 1.223500-3 8.953748-6 1.223750-3 9.187310-6 1.224100-3 9.485335-6 1.224400-3 9.716246-6 1.225000-3 1.011718-5 1.225400-3 1.034628-5 1.225850-3 1.057189-5 1.226350-3 1.078900-5 1.226800-3 1.095855-5 1.227700-3 1.123608-5 1.228000-3 1.130411-5 1.229500-3 1.154852-5 1.230500-3 1.167324-5 1.232500-3 1.184127-5 1.235000-3 1.198709-5 1.240000-3 1.211460-5 1.245000-3 1.217992-5 1.255400-3 1.224746-5 1.255400-3 1.278116-5 1.258200-3 1.314294-5 1.260500-3 1.334875-5 1.263000-3 1.348351-5 1.266500-3 1.357759-5 1.275000-3 1.365162-5 1.313000-3 1.374376-5 1.402300-3 1.375007-5 1.402300-3 1.399561-5 2.500000-3 1.401123-5 8.317638-3 1.385108-5 1.106700-2 1.380850-5 1.106700-2 4.680852-3 1.462177-2 4.729503-3 1.949845-2 4.762642-3 3.162278-2 4.797790-3 6.249250-2 4.820286-3 2.570396-1 4.829067-3 1.000000+5 4.832603-3 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.290000-6 0.0 6.500000-6 2.100000-7 6.500000-6 1.387778-7 1.478000-5 8.414665-6 1.478000-5 7.795144-6 1.610000-5 9.363315-6 1.750000-5 1.095301-5 1.905461-5 1.263476-5 2.070000-5 1.431731-5 2.240000-5 1.594742-5 2.426610-5 1.761044-5 2.610000-5 1.912306-5 2.818383-5 2.072155-5 3.198895-5 2.344254-5 3.589219-5 2.620105-5 3.819000-5 2.789585-5 3.819000-5 1.712762-5 3.882000-5 1.772462-5 3.882000-5 1.665553-5 4.265795-5 2.015821-5 5.011872-5 2.674354-5 5.495409-5 3.120768-5 6.237348-5 3.834817-5 8.128305-5 5.706408-5 1.249800-4 1.006769-4 1.249800-4 9.984975-5 1.293800-4 1.042082-4 1.293800-4 1.038467-4 1.792500-4 1.524925-4 1.792500-4 1.511159-4 3.126079-4 2.805342-4 6.095369-4 5.722382-4 1.222800-3 1.180367-3 1.222800-3 1.158218-3 1.226800-3 1.154940-3 1.240000-3 1.165021-3 1.255400-3 1.180047-3 1.255400-3 1.178782-3 1.288000-3 1.209159-3 1.402300-3 1.323251-3 1.402300-3 1.318782-3 1.106700-2 1.097119-2 1.106700-2 6.285911-3 1.584893-2 1.100854-2 3.801894-2 3.311132-2 1.000000+5 9.999999+4 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.106700-2 2.073136+4 1.122500-2 2.004146+4 1.140000-2 1.924732+4 1.174898-2 1.787264+4 1.230269-2 1.587585+4 1.333521-2 1.294990+4 1.462177-2 1.017263+4 1.730000-2 6.522020+3 2.187762-2 3.447616+3 2.754229-2 1.817011+3 3.388442-2 1.009321+3 4.168694-2 5.553901+2 5.128614-2 3.030590+2 6.382635-2 1.586385+2 8.222426-2 7.437006+1 1.737801-1 7.757575+0 2.238721-1 3.639714+0 2.630268-1 2.264487+0 3.019952-1 1.518038+0 3.427678-1 1.059112+0 3.845918-1 7.686995-1 4.265795-1 5.798191-1 4.731513-1 4.402894-1 5.248075-1 3.367368-1 5.821032-1 2.595154-1 6.382635-1 2.072999-1 6.998420-1 1.667453-1 7.673615-1 1.352444-1 8.511380-1 1.077241-1 9.440609-1 8.635124-2 1.023293+0 7.320976-2 1.148154+0 5.820575-2 1.244515+0 4.989371-2 1.396368+0 4.032162-2 1.548817+0 3.349583-2 1.737801+0 2.746512-2 1.949845+0 2.268534-2 2.213095+0 1.852903-2 2.511886+0 1.524894-2 2.884032+0 1.242659-2 3.311311+0 1.020190-2 3.845918+0 8.300669-3 4.518559+0 6.697621-3 5.370318+0 5.363108-3 6.531306+0 4.203770-3 8.035261+0 3.274572-3 1.011579+1 2.502568-3 1.318257+1 1.852996-3 1.778279+1 1.331576-3 2.371374+1 9.762519-4 3.507519+1 6.455121-4 5.559043+1 4.002237-4 1.071519+2 2.046000-4 2.137962+2 1.017230-4 8.511380+2 2.540463-5 5.370318+4 4.017991-7 1.000000+5 2.158200-7 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.106700-2 1.030800-4 1.000000+5 1.030800-4 1 32000 7 7 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.106700-2 5.408300-3 1.000000+5 5.408300-3 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.106700-2 5.555620-3 1.000000+5 9.999999+4 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.402300-3 9.283222+4 1.445440-3 8.982218+4 1.570000-3 7.957480+4 1.717908-3 6.904161+4 1.995262-3 5.426558+4 2.350000-3 4.110880+4 2.570396-3 3.502345+4 3.000000-3 2.636020+4 3.311311-3 2.182944+4 3.845918-3 1.626849+4 4.315191-3 1.287718+4 4.897788-3 9.897854+3 5.623413-3 7.366912+3 6.382635-3 5.582480+3 7.328245-3 4.096004+3 8.511380-3 2.904352+3 9.885531-3 2.042413+3 1.150000-2 1.419384+3 1.333521-2 9.865813+2 1.548817-2 6.780782+2 1.819701-2 4.491931+2 2.137962-2 2.951734+2 2.500000-2 1.949404+2 2.951209-2 1.246015+2 3.507519-2 7.758072+1 4.168694-2 4.794028+1 5.011872-2 2.846918+1 6.095369-2 1.623592+1 7.498942-2 8.887943+0 9.549926-2 4.363974+0 1.862087-1 6.000295-1 2.344229-1 3.044757-1 2.754229-1 1.906907-1 3.198895-1 1.244263-1 3.630781-1 8.731758-2 4.073803-1 6.371885-2 4.518559-1 4.829699-2 5.011872-1 3.686536-2 5.559043-1 2.834367-2 6.095369-1 2.258499-2 6.683439-1 1.811751-2 7.328245-1 1.462952-2 8.128305-1 1.159253-2 8.912509-1 9.491556-3 9.660509-1 8.019729-3 1.083927+0 6.365225-3 1.202264+0 5.198948-3 1.333521+0 4.277117-3 1.479108+0 3.542993-3 1.659587+0 2.896299-3 1.862087+0 2.385485-3 2.113489+0 1.942434-3 2.398833+0 1.594198-3 2.722701+0 1.317930-3 3.126079+0 1.078838-3 3.630781+0 8.752741-4 4.265795+0 7.043728-4 5.069907+0 5.625851-4 6.095369+0 4.462174-4 7.413102+0 3.514774-4 9.120108+0 2.750842-4 1.161449+1 2.083706-4 1.496236+1 1.569254-4 2.018366+1 1.131362-4 2.884032+1 7.731447-5 4.365158+1 5.009926-5 7.244360+1 2.973362-5 1.348963+2 1.579376-5 2.691535+2 7.865137-6 1.071519+3 1.966534-6 1.000000+5 2.104000-8 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.402300-3 1.005800-4 1.000000+5 1.005800-4 1 32000 7 7 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.402300-3 1.580100-5 1.000000+5 1.580100-5 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.402300-3 1.285919-3 1.000000+5 1.000000+5 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.255400-3 7.518200+4 1.255600-3 7.814400+4 1.255900-3 8.506400+4 1.256200-3 9.192900+4 1.256500-3 9.874100+4 1.256800-3 1.055000+5 1.257150-3 1.131500+5 1.257500-3 1.206700+5 1.257850-3 1.279200+5 1.258200-3 1.349000+5 1.258650-3 1.435000+5 1.259000-3 1.498400+5 1.259500-3 1.583600+5 1.260000-3 1.661900+5 1.260500-3 1.733500+5 1.261000-3 1.798900+5 1.261700-3 1.880100+5 1.262200-3 1.931100+5 1.263000-3 2.001600+5 1.263800-3 2.059500+5 1.264500-3 2.101200+5 1.265600-3 2.152700+5 1.266500-3 2.184200+5 1.268000-3 2.220700+5 1.269500-3 2.243068+5 1.272200-3 2.268871+5 1.275000-3 2.280196+5 1.288000-3 2.295626+5 1.305000-3 2.305521+5 1.313000-3 2.300400+5 1.323000-3 2.275300+5 1.396368-3 2.004200+5 1.500000-3 1.664700+5 1.778279-3 1.078800+5 1.972423-3 8.225500+4 2.150000-3 6.526900+4 2.570396-3 3.992600+4 2.884032-3 2.881700+4 3.300000-3 1.956000+4 3.845918-3 1.246800+4 4.365158-3 8.533300+3 5.069907-3 5.410200+3 5.956621-3 3.281200+3 6.918310-3 2.045700+3 7.943282-3 1.313900+3 9.225714-3 8.078600+2 1.083927-2 4.748700+2 1.273503-2 2.770800+2 1.500000-2 1.591800+2 1.778279-2 8.882800+1 2.137962-2 4.687100+1 2.600160-2 2.357900+1 3.235937-2 1.084700+1 4.120975-2 4.561300+0 9.015711-2 2.696900-1 1.135011-1 1.180800-1 1.364583-1 6.140700-2 1.621810-1 3.351499-2 1.883649-1 1.997921-2 2.162719-1 1.248519-2 2.454709-1 8.172112-3 2.754229-1 5.596671-3 3.090295-1 3.859825-3 3.427678-1 2.780708-3 3.801894-1 2.017174-3 4.168694-1 1.526433-3 4.623810-1 1.124277-3 5.128614-1 8.346299-4 5.688529-1 6.243882-4 6.237348-1 4.855794-4 6.839117-1 3.802578-4 7.328245-1 3.182337-4 8.035261-1 2.526895-4 9.332543-1 1.754120-4 9.885531-1 1.533829-4 1.047129+0 1.352361-4 1.109175+0 1.199572-4 1.174898+0 1.070272-4 1.258925+0 9.405126-5 1.380384+0 7.976032-5 1.737801+0 5.358714-5 1.949845+0 4.422231-5 2.187762+0 3.677514-5 2.483133+0 3.024474-5 2.851018+0 2.463057-5 3.273407+0 2.020931-5 3.801894+0 1.643405-5 4.466836+0 1.325347-5 5.308844+0 1.060735-5 6.456542+0 8.310239-6 7.943282+0 6.470655-6 9.885531+0 5.009270-6 1.273503+1 3.754469-6 1.678804+1 2.764632-6 2.213095+1 2.048446-6 3.273407+1 1.352751-6 5.128614+1 8.476993-7 9.440609+1 4.536332-7 1.883649+2 2.252976-7 3.758374+2 1.124196-7 2.985383+3 1.409577-8 1.000000+5 4.20670-10 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.255400-3 6.976300-5 1.000000+5 6.976300-5 1 32000 7 7 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.255400-3 1.710500-5 1.000000+5 1.710500-5 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.255400-3 1.168532-3 1.000000+5 1.000000+5 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.222800-3 1.572996+5 1.222970-3 1.631124+5 1.223250-3 1.764672+5 1.223500-3 1.883748+5 1.223750-3 2.001768+5 1.224100-3 2.165140+5 1.224400-3 2.302808+5 1.224700-3 2.436944+5 1.225000-3 2.568576+5 1.225400-3 2.738068+5 1.225850-3 2.919500+5 1.226350-3 3.109480+5 1.226800-3 3.269612+5 1.227300-3 3.434728+5 1.227700-3 3.556920+5 1.228000-3 3.632342+5 1.229500-3 3.920470+5 1.230300-3 4.051231+5 1.230500-3 4.079090+5 1.232500-3 4.303495+5 1.235000-3 4.507857+5 1.236000-3 4.556216+5 1.240000-3 4.674399+5 1.245000-3 4.741897+5 1.260000-3 4.777324+5 1.275000-3 4.774000+5 1.283000-3 4.750440+5 1.290000-3 4.708080+5 1.368000-3 4.087720+5 1.462177-3 3.431846+5 1.717908-3 2.266060+5 1.905461-3 1.724328+5 2.089296-3 1.344565+5 2.500000-3 8.173520+4 2.786121-3 6.001422+4 3.198895-3 4.022414+4 3.672823-3 2.672002+4 4.168694-3 1.825483+4 4.841724-3 1.154335+4 5.623413-3 7.238085+3 6.500000-3 4.571560+3 7.413102-3 2.994147+3 8.609938-3 1.836376+3 1.000000-2 1.118184+3 1.174898-2 6.503626+2 1.364583-2 3.905209+2 1.584893-2 2.330314+2 1.862087-2 1.327608+2 2.213095-2 7.211742+1 2.660725-2 3.732434+1 3.235937-2 1.839181+1 4.027170-2 8.272502+0 5.248075-2 3.117768+0 9.772372-2 3.108629-1 1.216186-1 1.390530-1 1.445440-1 7.407257-2 1.678804-1 4.322067-2 1.927525-1 2.648300-2 2.187762-1 1.702430-2 2.454709-1 1.147510-2 2.722701-1 8.101355-3 3.000060-1 5.887356-3 3.311311-1 4.285344-3 3.630781-1 3.207948-3 3.981072-1 2.417911-3 4.365158-1 1.835632-3 4.731513-1 1.451605-3 5.128614-1 1.155305-3 5.559043-1 9.257535-4 6.025596-1 7.466324-4 6.531306-1 6.060797-4 7.079458-1 4.951565-4 7.673615-1 4.072108-4 8.317638-1 3.371286-4 9.015711-1 2.807049-4 9.660509-1 2.414883-4 1.035142+0 2.092396-4 1.135011+0 1.740170-4 1.250000+0 1.444998-4 1.380384+0 1.203427-4 1.584893+0 9.424980-5 1.778279+0 7.739651-5 2.000000+0 6.375794-5 2.264644+0 5.234683-5 2.570396+0 4.313602-5 2.951209+0 3.519910-5 3.388442+0 2.893165-5 3.935501+0 2.356657-5 4.623810+0 1.903464-5 5.495409+0 1.525727-5 6.683439+0 1.196997-5 8.222427+0 9.332688-6 1.035142+1 7.137959-6 1.348963+1 5.289510-6 1.840772+1 3.755699-6 2.454709+1 2.755918-6 3.630781+1 1.823453-6 5.821032+1 1.117873-6 1.135011+2 5.652124-7 2.264644+2 2.811433-7 9.015711+2 7.023553-8 5.688529+4 1.110961-9 1.000000+5 6.32080-10 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.222800-3 6.880200-5 1.000000+5 6.880200-5 1 32000 7 7 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.222800-3 1.565000-5 1.000000+5 1.565000-5 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.222800-3 1.138348-3 1.000000+5 1.000000+5 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.792500-4 2.423298+5 2.162719-4 2.258866+5 2.264644-4 2.199414+5 2.426610-4 2.089896+5 2.818383-4 1.857337+5 3.000000-4 1.757158+5 3.200000-4 1.647528+5 3.548134-4 1.471943+5 3.981072-4 1.289286+5 4.350000-4 1.155852+5 4.841724-4 1.004330+5 5.500000-4 8.437240+4 6.095369-4 7.278961+4 7.079458-4 5.817733+4 7.943282-4 4.862622+4 9.225714-4 3.820262+4 1.059254-3 3.033060+4 1.216186-3 2.391699+4 1.412538-3 1.834717+4 1.640590-3 1.396526+4 1.905461-3 1.055199+4 2.213095-3 7.915609+3 2.570396-3 5.896737+3 3.000000-3 4.320060+3 3.548134-3 3.057557+3 4.168694-3 2.177015+3 4.897788-3 1.538476+3 5.688529-3 1.107008+3 6.683439-3 7.708478+2 7.762471-3 5.468829+2 9.015711-3 3.852640+2 1.047129-2 2.694794+2 1.216186-2 1.871790+2 1.428894-2 1.255076+2 1.659587-2 8.597968+1 1.949845-2 5.677871+1 2.290868-2 3.721700+1 2.691535-2 2.421967+1 3.162278-2 1.565095+1 3.758374-2 9.729400+0 4.518559-2 5.813410+0 5.308844-2 3.680284+0 6.456542-2 2.096055+0 8.128305-2 1.071980+0 1.035142-1 5.261322-1 1.819701-1 9.853430-2 2.317395-1 4.835947-2 2.722701-1 3.028873-2 3.162278-1 1.975903-2 3.589219-1 1.386061-2 4.027170-1 1.010978-2 4.518559-1 7.429461-3 5.011872-1 5.670512-3 5.559043-1 4.360240-3 6.095369-1 3.474722-3 6.683439-1 2.787438-3 7.328245-1 2.250912-3 8.128305-1 1.783746-3 8.912509-1 1.460497-3 9.660509-1 1.234008-3 1.083927+0 9.793828-4 1.202264+0 7.999531-4 1.333521+0 6.581195-4 1.479108+0 5.451515-4 1.659587+0 4.456142-4 1.862087+0 3.670185-4 2.089296+0 3.044323-4 2.371374+0 2.497004-4 2.691535+0 2.062860-4 3.090295+0 1.687439-4 3.589219+0 1.368214-4 4.216965+0 1.100466-4 5.011872+0 8.784942-5 6.025596+0 6.964500-5 7.328245+0 5.483468-5 9.015711+0 4.289858-5 1.148154+1 3.248257-5 1.462177+1 2.476949-5 2.018366+1 1.740712-5 2.917427+1 1.175217-5 4.466836+1 7.526589-6 7.498942+1 4.416259-6 1.396368+2 2.346710-6 2.786121+2 1.168872-6 1.109175+3 2.922851-7 1.000000+5 3.237400-9 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.792500-4 6.075400-5 1.000000+5 6.075400-5 1 32000 7 7 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.792500-4 3.451600-9 1.000000+5 3.451600-9 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.792500-4 1.184925-4 1.000000+5 1.000000+5 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.293800-4 1.264272+5 1.320000-4 1.272094+5 1.350000-4 1.288862+5 1.380384-4 1.315813+5 1.445440-4 1.387390+5 1.540000-4 1.504008+5 1.621810-4 1.617481+5 1.760000-4 1.823842+5 1.828300-4 1.919425+5 1.900000-4 2.007460+5 1.972423-4 2.081099+5 2.041738-4 2.137531+5 2.120000-4 2.186480+5 2.220000-4 2.230720+5 2.330000-4 2.260200+5 2.450000-4 2.272920+5 2.570396-4 2.268465+5 2.691535-4 2.248968+5 2.818383-4 2.214989+5 2.951209-4 2.168093+5 3.126079-4 2.095602+5 3.350000-4 1.995448+5 3.550000-4 1.903762+5 3.780000-4 1.797002+5 4.027170-4 1.683124+5 4.315191-4 1.556115+5 4.677351-4 1.409495+5 5.069907-4 1.267063+5 5.495409-4 1.129992+5 5.956621-4 1.000251+5 6.531306-4 8.636427+4 7.079458-4 7.545795+4 7.762471-4 6.415626+4 8.511380-4 5.418374+4 9.332543-4 4.543069+4 1.030000-3 3.733820+4 1.135011-3 3.056817+4 1.258925-3 2.449694+4 1.396368-3 1.949260+4 1.570000-3 1.491918+4 1.757924-3 1.143222+4 1.972423-3 8.648421+3 2.220000-3 6.441400+3 2.500000-3 4.754360+3 2.818383-3 3.473449+3 3.200000-3 2.471180+3 3.630781-3 1.747819+3 4.073803-3 1.266386+3 4.623810-3 8.824385+2 5.248075-3 6.105829+2 6.000000-3 4.104260+2 6.839116-3 2.763047+2 7.852356-3 1.805795+2 9.015711-3 1.170944+2 1.035142-2 7.539187+1 1.202264-2 4.642555+1 1.396368-2 2.837190+1 1.640590-2 1.656548+1 1.927525-2 9.600431+0 2.290868-2 5.310313+0 2.754229-2 2.801423+0 3.349654-2 1.408689+0 4.216965-2 6.221432-1 5.623413-2 2.220310-1 9.225714-2 3.754793-2 1.188502-1 1.522187-2 1.428894-1 7.948865-3 1.678804-1 4.533721-3 1.949845-1 2.711755-3 2.238721-1 1.700221-3 2.540973-1 1.116488-3 2.851018-1 7.669837-4 3.198895-1 5.307155-4 3.548134-1 3.835556-4 3.935501-1 2.790726-4 4.365158-1 2.044991-4 4.841724-1 1.510029-4 5.308844-1 1.161271-4 5.821032-1 8.990176-5 6.382635-1 7.005328-5 6.998420-1 5.495354-5 7.673615-1 4.341065-5 8.609938-1 3.253703-5 9.225714-1 2.755921-5 9.772372-1 2.415780-5 1.035142+0 2.132532-5 1.109175+0 1.848494-5 1.188600+0 1.613900-5 1.303167+0 1.361804-5 1.462177+0 1.109669-5 1.698244+0 8.559087-6 1.905461+0 7.055286-6 2.137962+0 5.858611-6 2.426610+0 4.811762-6 2.754229+0 3.980275-6 3.162278+0 3.260026-6 3.672823+0 2.646414-6 4.315191+0 2.130801-6 5.128614+0 1.702771-6 6.165950+0 1.351236-6 7.498942+0 1.064777-6 9.225714+0 8.336994-7 1.161449+1 6.400365-7 1.479108+1 4.882070-7 2.018366+1 3.474984-7 2.917427+1 2.346073-7 4.466836+1 1.502471-7 7.498942+1 8.816152-8 1.396368+2 4.684704-8 2.786121+2 2.333434-8 1.109175+3 5.834903-9 1.000000+5 6.46260-11 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.293800-4 4.704600-5 1.000000+5 4.704600-5 1 32000 7 7 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.293800-4 3.717900-9 1.000000+5 3.717900-9 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.293800-4 8.233028-5 1.000000+5 1.000000+5 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.249800-4 2.820760+5 1.280000-4 2.863752+5 1.310000-4 2.931356+5 1.566751-4 3.683890+5 1.698244-4 4.097265+5 1.778279-4 4.328008+5 1.850000-4 4.503360+5 1.905461-4 4.615161+5 1.980000-4 4.733320+5 2.065380-4 4.829027+5 2.162719-4 4.897395+5 2.264644-4 4.932713+5 2.371374-4 4.937685+5 2.483133-4 4.912815+5 2.600160-4 4.857512+5 2.730000-4 4.766960+5 2.884032-4 4.630842+5 3.054921-4 4.458953+5 3.273407-4 4.227018+5 3.507519-4 3.977284+5 3.758374-4 3.714046+5 4.027170-4 3.440227+5 4.350000-4 3.132492+5 4.731513-4 2.806859+5 5.128614-4 2.508513+5 5.559043-4 2.223960+5 6.095369-4 1.922638+5 6.683439-4 1.649493+5 7.300000-4 1.413704+5 8.035261-4 1.185831+5 8.810489-4 9.952848+4 9.700000-4 8.224320+4 1.071519-3 6.704242+4 1.190000-3 5.362120+4 1.318257-3 4.279604+4 1.450000-3 3.447912+4 1.621810-3 2.654214+4 1.819701-3 2.011522+4 2.041738-3 1.512543+4 2.317395-3 1.095787+4 2.630268-3 7.869445+3 2.951209-3 5.782716+3 3.311311-3 4.221366+3 3.758374-3 2.964673+3 4.265795-3 2.066490+3 4.841724-3 1.430109+3 5.495409-3 9.824803+2 6.237348-3 6.701642+2 7.079458-3 4.539797+2 8.035261-3 3.054535+2 9.225714-3 1.967323+2 1.059254-2 1.257855+2 1.216186-2 7.984798+1 1.412538-2 4.843408+1 1.640590-2 2.916489+1 1.927525-2 1.676044+1 2.264644-2 9.559640+0 2.691535-2 5.198023+0 3.198895-2 2.805823+0 3.801894-2 1.504319+0 4.786301-2 6.497286-1 6.249250-2 2.438041-1 9.772372-2 4.677968-2 1.216186-1 2.099215-2 1.462177-1 1.076712-2 1.717908-1 6.043293-3 1.949845-1 3.864565-3 2.213095-1 2.488612-3 2.483133-1 1.680076-3 2.754229-1 1.187712-3 3.054921-1 8.457126-4 3.349654-1 6.295369-4 3.672823-1 4.717764-4 4.027170-1 3.561112-4 4.415705-1 2.709310-4 4.841724-1 2.077437-4 5.248075-1 1.657586-4 5.688529-1 1.330958-4 6.165950-1 1.075768-4 6.683439-1 8.754876-5 7.244360-1 7.171399-5 7.852356-1 5.911796-5 8.609938-1 4.767793-5 9.225714-1 4.082721-5 9.885531-1 3.519393-5 1.083927+0 2.914725-5 1.174898+0 2.485970-5 1.288250+0 2.089236-5 1.428894+0 1.730676-5 1.640590+0 1.358145-5 1.840772+0 1.117581-5 2.065380+0 9.261637-6 2.344229+0 7.591060-6 2.660725+0 6.267476-6 3.054921+0 5.123924-6 3.548134+0 4.152061-6 4.168694+0 3.337642-6 4.954502+0 2.662971-6 5.956621+0 2.110132-6 7.244360+0 1.660708-6 8.912509+0 1.298736-6 1.135011+1 9.829655-7 1.445440+1 7.493578-7 1.995262+1 5.264578-7 2.818383+1 3.640801-7 4.265795+1 2.358244-7 7.079458+1 1.399091-7 1.318257+2 7.429863-8 2.630268+2 3.699409-8 1.047129+3 9.248782-9 1.000000+5 9.66960-11 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.249800-4 4.683700-5 1.000000+5 4.683700-5 1 32000 7 7 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.249800-4 3.375700-9 1.000000+5 3.375700-9 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.249800-4 7.813962-5 1.000000+5 1.000000+5 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 3.882000-5 6.358716+5 4.200000-5 6.390680+5 4.265795-5 6.433064+5 4.330000-5 6.512240+5 4.400000-5 6.641280+5 4.470000-5 6.814360+5 4.540000-5 7.029800+5 4.623810-5 7.341789+5 4.720000-5 7.769120+5 4.820000-5 8.286880+5 4.954502-5 9.093591+5 5.150000-5 1.046192+6 5.450000-5 1.289344+6 5.650000-5 1.463588+6 5.821032-5 1.614147+6 5.956621-5 1.731414+6 6.095369-5 1.848032+6 6.237348-5 1.961888+6 6.400000-5 2.084096+6 6.580000-5 2.208340+6 6.760830-5 2.320820+6 6.950000-5 2.425380+6 7.161434-5 2.527282+6 7.413102-5 2.630402+6 7.673615-5 2.719476+6 8.000000-5 2.810492+6 8.413951-5 2.901491+6 8.810489-5 2.967897+6 9.332543-5 3.029238+6 9.885531-5 3.067279+6 1.040000-4 3.079720+6 1.083927-4 3.072288+6 1.135011-4 3.043400+6 1.190000-4 2.991832+6 1.244515-4 2.924918+6 1.303167-4 2.839214+6 1.380000-4 2.714432+6 1.462177-4 2.573947+6 1.548817-4 2.425326+6 1.650000-4 2.256372+6 1.757924-4 2.083408+6 1.862087-4 1.924028+6 1.980000-4 1.754072+6 2.089296-4 1.607734+6 2.220000-4 1.447784+6 2.400000-4 1.255376+6 2.580000-4 1.092372+6 2.786121-4 9.353290+5 2.985383-4 8.081101+5 3.200000-4 6.928360+5 3.467369-4 5.759857+5 3.801894-4 4.621709+5 4.120975-4 3.786616+5 4.500000-4 3.022368+5 4.954502-4 2.340931+5 5.370318-4 1.879608+5 5.888437-4 1.453239+5 6.531306-4 1.078623+5 7.328245-4 7.678055+4 8.222426-4 5.414347+4 9.225714-4 3.784756+4 1.023293-3 2.722666+4 1.148154-3 1.873669+4 1.288250-3 1.279299+4 1.445440-3 8.671811+3 1.621810-3 5.835801+3 1.819701-3 3.899849+3 2.065380-3 2.483922+3 2.344229-3 1.569904+3 2.660725-3 9.848143+2 3.019952-3 6.133540+2 3.427678-3 3.794511+2 3.890451-3 2.330983+2 4.415704-3 1.421812+2 5.011872-3 8.612011+1 5.688529-3 5.180475+1 6.456542-3 3.094626+1 7.413102-3 1.750637+1 8.511380-3 9.830627+0 9.885531-3 5.221659+0 1.109175-2 3.192619+0 1.244515-2 1.910855+0 1.303167-2 1.562834+0 1.412538-2 1.114281+0 1.513561-2 8.355866-1 1.659587-2 5.617575-1 1.840772-2 3.565895-1 2.630268-2 7.328173-2 3.548134-2 1.924772-2 5.821032-2 2.096523-3 7.328245-2 7.524347-4 8.912509-2 3.172305-4 1.047129-1 1.568793-4 1.216186-1 8.217750-5 1.396368-1 4.557426-5 1.584893-1 2.673301-5 1.778279-1 1.656746-5 2.000000-1 1.024000-5 2.238721-1 6.502753-6 2.483133-1 4.313825-6 2.754229-1 2.881641-6 3.054921-1 1.939044-6 3.388442-1 1.314853-6 3.715352-1 9.374499-7 4.073803-1 6.731335-7 4.466836-1 4.870358-7 4.897788-1 3.550933-7 5.370318-1 2.609263-7 5.821032-1 2.006103-7 6.237348-1 1.610805-7 6.760830-1 1.255414-7 7.413102-1 9.513036-8 8.035261-1 7.500790-8 8.511380-1 6.295920-8 8.912509-1 5.498980-8 9.332543-1 4.831062-8 9.660509-1 4.404735-8 1.000000+0 4.035200-8 1.047129+0 3.618660-8 1.096478+0 3.269862-8 1.148154+0 2.975018-8 1.202264+0 2.723567-8 1.288250+0 2.406592-8 1.412538+0 2.058619-8 1.513561+0 1.836523-8 1.819701+0 1.339498-8 2.018366+0 1.128706-8 2.290868+0 9.237786-9 2.600160+0 7.617425-9 2.985383+0 6.220059-9 3.467369+0 5.034255-9 4.027170+0 4.105128-9 4.731513+0 3.319151-9 5.623413+0 2.663061-9 6.839116+0 2.091188-9 8.413951+0 1.631845-9 1.059254+1 1.249048-9 1.364583+1 9.38260-10 1.883649+1 6.58089-10 2.540973+1 4.77289-10 3.758374+1 3.16017-10 5.956621+1 1.96157-10 1.148154+2 1.00370-10 2.290868+2 4.99301-11 9.120108+2 1.24743-11 5.754399+4 1.97315-13 1.000000+5 1.13570-13 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 3.882000-5 2.442100-5 1.000000+5 2.442100-5 1 32000 7 7 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.882000-5 2.59890-10 1.000000+5 2.59890-10 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.882000-5 1.439874-5 1.000000+5 1.000000+5 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 3.819000-5 1.043106+6 3.880000-5 1.017078+6 3.950000-5 9.956580+5 4.000000-5 9.851340+5 4.073803-5 9.769554+5 4.130000-5 9.763980+5 4.200000-5 9.824580+5 4.265795-5 9.946717+5 4.330000-5 1.012518+6 4.400000-5 1.038498+6 4.470000-5 1.071054+6 4.540000-5 1.109982+6 4.623810-5 1.164645+6 4.731513-5 1.247114+6 4.850000-5 1.352604+6 5.011872-5 1.518952+6 5.400000-5 1.994658+6 5.580000-5 2.235486+6 5.754399-5 2.470534+6 5.900000-5 2.663274+6 6.070000-5 2.879688+6 6.237348-5 3.080133+6 6.400000-5 3.260598+6 6.580000-5 3.442392+6 6.760830-5 3.605782+6 6.950000-5 3.756708+6 7.161434-5 3.903150+6 7.413102-5 4.050469+6 7.673615-5 4.176997+6 8.000000-5 4.305468+6 8.413951-5 4.431440+6 8.810489-5 4.522377+6 9.332543-5 4.606073+6 9.800000-5 4.648980+6 1.023293-4 4.662421+6 1.071519-4 4.649172+6 1.122018-4 4.606012+6 1.174898-4 4.532000+6 1.230269-4 4.427572+6 1.291200-4 4.291461+6 1.364583-4 4.107940+6 1.450000-4 3.883950+6 1.548817-4 3.625758+6 1.650000-4 3.368478+6 1.760000-4 3.101010+6 1.862087-4 2.865808+6 1.972423-4 2.625655+6 2.089296-4 2.389393+6 2.238721-4 2.118028+6 2.400000-4 1.862400+6 2.600160-4 1.594232+6 2.800000-4 1.370964+6 3.019952-4 1.165860+6 3.235937-4 9.988664+5 3.548134-4 8.057280+5 3.850000-4 6.615060+5 4.216965-4 5.269010+5 4.600000-4 4.203180+5 5.011872-4 3.341435+5 5.559043-4 2.513146+5 6.165950-4 1.872833+5 6.918310-4 1.337622+5 7.762471-4 9.469039+4 8.709636-4 6.639519+4 9.772372-4 4.617453+4 1.083927-3 3.305696+4 1.216186-3 2.264643+4 1.348963-3 1.600124+4 1.513561-3 1.079722+4 1.698244-3 7.235002+3 1.905461-3 4.814596+3 2.137962-3 3.184633+3 2.426610-3 2.005767+3 2.754229-3 1.253860+3 3.126079-3 7.782189+2 3.548134-3 4.796504+2 4.027170-3 2.935284+2 4.570882-3 1.783550+2 5.188000-3 1.076077+2 5.888437-3 6.446667+1 6.683439-3 3.834174+1 7.673615-3 2.158565+1 9.015711-3 1.097431+1 1.000000-2 7.057391+0 1.096478-2 4.734563+0 1.122018-2 4.276474+0 1.244515-2 2.687634+0 1.303167-2 2.195261+0 1.396368-2 1.637048+0 1.513561-2 1.169120+0 1.678804-2 7.477462-1 1.883649-2 4.514187-1 2.137962-2 2.570025-1 2.483133-2 1.309497-1 3.090295-2 4.843840-2 6.000000-2 2.398445-3 7.498942-2 8.784774-4 9.015711-2 3.859671-4 1.071519-1 1.798965-4 1.230269-1 9.834670-5 1.396368-1 5.695088-5 1.566751-1 3.490557-5 1.737801-1 2.261464-5 1.927525-1 1.475070-5 2.137962-1 9.689583-6 2.344229-1 6.713753-6 2.570396-1 4.684761-6 2.818383-1 3.294156-6 3.054921-1 2.437330-6 3.311311-1 1.816315-6 3.589219-1 1.363317-6 3.890451-1 1.030843-6 4.168694-1 8.164536-7 4.518559-1 6.263789-7 4.897788-1 4.837502-7 5.370318-1 3.623187-7 5.821032-1 2.834449-7 6.165950-1 2.391735-7 6.606935-1 1.963762-7 7.079458-1 1.623245-7 7.762471-1 1.271090-7 8.317638-1 1.065631-7 8.810489-1 9.254889-8 9.332543-1 8.085367-8 9.885531-1 7.108938-8 1.059254+0 6.141451-8 1.135011+0 5.339623-8 1.202264+0 4.777757-8 1.333521+0 3.948672-8 1.513561+0 3.154647-8 1.717908+0 2.533813-8 1.927525+0 2.090343-8 2.162719+0 1.737255-8 2.454709+0 1.427801-8 2.818383+0 1.161947-8 3.235937+0 9.528011-9 3.758374+0 7.743887-9 4.415704+0 6.241939-9 5.248075+0 4.993134-9 6.309573+0 3.965749-9 7.673615+0 3.127867-9 9.549926+0 2.418459-9 1.216186+1 1.834586-9 1.566751+1 1.383610-9 2.089296+1 1.010899-9 3.090295+1 6.66696-10 4.786301+1 4.22356-10 8.317638+1 2.39463-10 1.659587+2 1.18787-10 3.311311+2 5.92284-11 1.318257+3 1.48193-11 1.000000+5 1.95150-13 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 3.819000-5 2.450900-5 1.000000+5 2.450900-5 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.819000-5 1.368100-5 1.000000+5 1.000000+5 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.478000-5 4.456320+5 1.500000-5 3.912600+5 1.522000-5 3.429340+5 1.550000-5 2.889160+5 1.580000-5 2.391820+5 1.603245-5 2.057991+5 1.630000-5 1.722130+5 1.650000-5 1.501702+5 1.670000-5 1.304610+5 1.690000-5 1.128574+5 1.710000-5 9.717480+4 1.730000-5 8.324160+4 1.750000-5 7.090280+4 1.765000-5 6.260660+4 1.778279-5 5.589629+4 1.796800-5 4.745911+4 1.808000-5 4.284460+4 1.822000-5 3.755680+4 1.835000-5 3.309860+4 1.850000-5 2.845780+4 1.865000-5 2.432220+4 1.877000-5 2.135380+4 1.892000-5 1.804102+4 1.905461-5 1.542074+4 1.920000-5 1.294016+4 1.935000-5 1.073634+4 1.955300-5 8.284217+3 1.980000-5 6.047100+3 1.992000-5 5.229840+3 2.000000-5 4.775820+3 2.007000-5 4.435720+3 2.012000-5 4.224280+3 2.018366-5 3.992017+3 2.022000-5 3.877540+3 2.027000-5 3.740920+3 2.032000-5 3.628040+3 2.037000-5 3.538280+3 2.041738-5 3.474033+3 2.047000-5 3.425840+3 2.053000-5 3.399780+3 2.058000-5 3.400980+3 2.064000-5 3.429220+3 2.070000-5 3.485640+3 2.077000-5 3.586080+3 2.082000-5 3.680120+3 2.089296-5 3.849098+3 2.097000-5 4.067320+3 2.105000-5 4.335740+3 2.115000-5 4.727920+3 2.130000-5 5.428340+3 2.162719-5 7.376513+3 2.180000-5 8.612000+3 2.195000-5 9.786260+3 2.210000-5 1.104780+4 2.225000-5 1.238866+4 2.240000-5 1.380168+4 2.255000-5 1.528114+4 2.270000-5 1.682024+4 2.285000-5 1.841410+4 2.300000-5 2.005700+4 2.322000-5 2.254480+4 2.344229-5 2.514031+4 2.360000-5 2.702420+4 2.385000-5 3.007100+4 2.410000-5 3.317760+4 2.435000-5 3.633020+4 2.460000-5 3.951580+4 2.493000-5 4.375240+4 2.520000-5 4.723100+4 2.550000-5 5.109500+4 2.580000-5 5.494500+4 2.610000-5 5.877000+4 2.650000-5 6.381440+4 2.691535-5 6.896599+4 2.730000-5 7.364340+4 2.770000-5 7.839980+4 2.818383-5 8.399159+4 2.870000-5 8.974880+4 2.920000-5 9.510980+4 2.985383-5 1.017891+5 3.060000-5 1.089458+5 3.126079-5 1.148692+5 3.198895-5 1.209514+5 3.273407-5 1.267039+5 3.357300-5 1.326285+5 3.467369-5 1.395551+5 3.589219-5 1.461720+5 3.715352-5 1.519510+5 3.850000-5 1.570338+5 4.000000-5 1.615218+5 4.168694-5 1.652758+5 4.350000-5 1.679924+5 4.518559-5 1.694618+5 4.731513-5 1.701325+5 4.954502-5 1.696569+5 5.188000-5 1.681402+5 5.495409-5 1.649618+5 5.821032-5 1.605745+5 6.165950-5 1.551984+5 6.531306-5 1.490611+5 7.000000-5 1.409792+5 7.500000-5 1.324802+5 8.128305-5 1.223476+5 8.912509-5 1.108907+5 9.885531-5 9.856493+4 1.109175-4 8.587032+4 1.258925-4 7.322815+4 1.445440-4 6.105992+4 1.800000-4 4.525900+4 2.400000-4 3.042120+4 2.754229-4 2.498498+4 3.235937-4 1.967268+4 3.890451-4 1.485863+4 4.786301-4 1.074117+4 5.821032-4 7.858271+3 6.760830-4 6.139601+3 8.035261-4 4.582176+3 9.885531-4 3.199711+3 1.161449-3 2.402809+3 1.380384-3 1.754039+3 1.640590-3 1.270667+3 1.949845-3 9.134174+2 2.290868-3 6.662683+2 2.691535-3 4.825485+2 3.162278-3 3.470300+2 3.715352-3 2.478202+2 4.415704-3 1.714294+2 5.188000-3 1.206452+2 6.095369-3 8.428833+1 7.161434-3 5.844230+1 8.317638-3 4.132186+1 9.660509-3 2.899153+1 1.135011-2 1.964479+1 1.333521-2 1.321608+1 1.548817-2 9.082587+0 1.819701-2 6.017354+0 2.137962-2 3.956656+0 2.511886-2 2.582896+0 2.985383-2 1.622799+0 3.548134-2 1.011398+0 4.216965-2 6.257314-1 5.069907-2 3.721030-1 6.165950-2 2.123612-1 7.673615-2 1.125504-1 9.885531-2 5.352355-2 1.840772-1 8.457145-3 2.344229-1 4.152481-3 2.754229-1 2.602269-3 3.198895-1 1.698748-3 3.630781-1 1.192522-3 4.073803-1 8.704871-4 4.570882-1 6.402381-4 5.069907-1 4.890761-4 5.623413-1 3.764120-4 6.165950-1 3.002404-4 6.760830-1 2.410819-4 7.413102-1 1.948739-4 8.222427-1 1.546072-4 9.015711-1 1.267570-4 9.772372-1 1.072258-4 1.122018+0 8.140401-5 1.244515+0 6.664490-5 1.380384+0 5.495257-5 1.531087+0 4.561793-5 1.717908+0 3.737765-5 1.927525+0 3.085156-5 2.187762+0 2.517703-5 2.483133+0 2.070588-5 2.851018+0 1.686369-5 3.273407+0 1.383682-5 3.801894+0 1.125168-5 4.466836+0 9.074202-6 5.308844+0 7.262683-6 6.456542+0 5.689886-6 7.852356+0 4.491468-6 9.772372+0 3.475649-6 1.244515+1 2.638250-6 1.603245+1 1.991258-6 2.089296+1 1.492058-6 3.090295+1 9.839570-7 4.786301+1 6.233732-7 8.317638+1 3.534366-7 1.659587+2 1.753185-7 3.311311+2 8.741810-8 1.318257+3 2.187135-8 1.000000+5 2.88020-10 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.478000-5 1.478000-5 1.000000+5 1.478000-5 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.478000-5 0.0 1.000000+5 1.000000+5 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 6.500000-6 1.248927+7 6.683439-6 1.204298+7 7.100000-6 1.102374+7 7.500000-6 1.010841+7 7.943282-6 9.162226+6 8.413951-6 8.248638+6 8.912509-6 7.369172+6 9.440609-6 6.539214+6 1.000000-5 5.760796+6 1.059254-5 5.037585+6 1.122018-5 4.372356+6 1.188502-5 3.767647+6 1.258925-5 3.224162+6 1.333521-5 2.739684+6 1.412538-5 2.311617+6 1.507000-5 1.895041+6 1.610000-5 1.535167+6 1.717908-5 1.239376+6 1.850000-5 9.629738+5 2.000000-5 7.324737+5 2.162719-5 5.527554+5 2.371374-5 3.937709+5 2.660725-5 2.554871+5 3.548134-5 8.517326+4 3.845918-5 6.296305+4 4.073803-5 5.101179+4 4.315191-5 4.160872+4 4.518559-5 3.558872+4 4.720000-5 3.090408+4 4.900000-5 2.755081+4 5.080000-5 2.481995+4 5.248075-5 2.272395+4 5.432503-5 2.083075+4 5.623413-5 1.923097+4 5.821032-5 1.788413+4 6.025596-5 1.675559+4 6.237348-5 1.581242+4 6.456542-5 1.502420+4 6.683439-5 1.436543+4 6.918310-5 1.381588+4 7.161434-5 1.335639+4 7.500000-5 1.284974+4 7.943282-5 1.234640+4 8.511380-5 1.186306+4 1.135011-4 1.028227+4 1.273503-4 9.647235+3 1.428894-4 8.984347+3 1.603245-4 8.297582+3 1.798871-4 7.602260+3 2.018366-4 6.914178+3 2.238721-4 6.300468+3 2.454709-4 5.761453+3 2.691535-4 5.232403+3 2.951209-4 4.717186+3 3.198895-4 4.274527+3 3.507519-4 3.792364+3 3.890451-4 3.289112+3 4.315191-4 2.832408+3 4.786301-4 2.422261+3 5.370318-4 2.020930+3 5.888437-4 1.737079+3 6.456542-4 1.481876+3 7.161434-4 1.229552+3 8.000000-4 9.992538+2 9.000000-4 7.952337+2 1.000000-3 6.440857+2 1.109175-3 5.195812+2 1.230269-3 4.161588+2 1.364583-3 3.310422+2 1.531087-3 2.547615+2 1.717908-3 1.945654+2 1.927525-3 1.474734+2 2.162719-3 1.109749+2 2.426610-3 8.292259+1 2.722701-3 6.153377+1 3.090295-3 4.404218+1 3.467369-3 3.224234+1 3.935501-3 2.270167+1 4.466836-3 1.587184+1 5.069907-3 1.101784+1 5.754399-3 7.594407+0 6.531306-3 5.198602+0 7.413102-3 3.534448+0 8.810489-3 2.070688+0 9.772372-3 1.493197+0 1.071519-2 1.109734+0 1.122018-2 9.536516-1 1.273503-2 6.225792-1 1.333521-2 5.359326-1 1.513561-2 3.578982-1 1.659587-2 2.637781-1 1.862087-2 1.786341-1 2.371374-2 7.788921-2 2.851018-2 4.106565-2 3.467369-2 2.063608-2 4.365158-2 9.109265-3 6.025596-2 2.872321-3 9.332543-2 5.969616-4 1.188502-1 2.521559-4 1.428894-1 1.316796-4 1.678804-1 7.509882-5 1.949845-1 4.491174-5 2.238721-1 2.815219-5 2.540973-1 1.848208-5 2.851018-1 1.269355-5 3.198895-1 8.781693-6 3.548134-1 6.345824-6 3.935501-1 4.616653-6 4.365158-1 3.382763-6 4.841724-1 2.497597-6 5.308844-1 1.920343-6 5.821032-1 1.486286-6 6.382635-1 1.158089-6 6.998420-1 9.085670-7 7.673615-1 7.177981-7 8.609938-1 5.378892-7 9.225714-1 4.554903-7 9.772372-1 3.991987-7 1.035142+0 3.523406-7 1.109175+0 3.053870-7 1.188600+0 2.666300-7 1.303167+0 2.249935-7 1.462177+0 1.833524-7 1.698244+0 1.414183-7 1.905461+0 1.165704-7 2.137962+0 9.680816-8 2.426610+0 7.951275-8 2.754229+0 6.577019-8 3.162278+0 5.386676-8 3.672823+0 4.372824-8 4.315191+0 3.520934-8 5.128614+0 2.813654-8 6.165950+0 2.232638-8 7.498942+0 1.759361-8 9.225714+0 1.377548-8 1.174898+1 1.043854-8 1.513561+1 7.864223-9 2.041738+1 5.670997-9 2.985383+1 3.783450-9 4.570882+1 2.424115-9 7.673615+1 1.422775-9 1.462177+2 7.38848-10 2.917427+2 3.68115-10 1.161449+3 9.20613-11 1.000000+5 1.06790-12 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 6.500000-6 6.500000-6 1.000000+5 6.500000-6 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 6.500000-6 0.0 1.000000+5 1.000000+5 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 6.290000-6 2.553047+7 6.606934-6 2.376285+7 7.000000-6 2.169115+7 7.500000-6 1.927675+7 8.000000-6 1.711196+7 8.511380-6 1.514683+7 9.015711-6 1.342749+7 9.549926-6 1.182284+7 1.011579-5 1.033920+7 1.071519-5 8.979189+6 1.135011-5 7.743435+6 1.202264-5 6.631315+6 1.273503-5 5.639580+6 1.350000-5 4.753441+6 1.428894-5 3.999430+6 1.513561-5 3.336249+6 1.610000-5 2.728327+6 1.730000-5 2.142501+6 1.862087-5 1.659641+6 2.018366-5 1.244746+6 2.187762-5 9.268304+5 2.426610-5 6.293145+5 2.800000-5 3.649578+5 3.311311-5 1.923041+5 3.589219-5 1.421668+5 3.801894-5 1.151791+5 4.027170-5 9.393539+4 4.220000-5 8.012207+4 4.415704-5 6.916733+4 4.570882-5 6.218229+4 4.731513-5 5.620887+4 4.900000-5 5.105694+4 5.080000-5 4.656762+4 5.248075-5 4.313565+4 5.432503-5 4.004461+4 5.623413-5 3.744400+4 5.821032-5 3.526631+4 6.025596-5 3.344687+4 6.237348-5 3.192560+4 6.500000-5 3.043152+4 6.760830-5 2.927313+4 7.079458-5 2.816958+4 7.500000-5 2.706500+4 8.035261-5 2.601100+4 1.040000-4 2.285088+4 1.161449-4 2.148122+4 1.303167-4 1.998926+4 1.450000-4 1.856022+4 1.621810-4 1.703815+4 1.828300-4 1.542049+4 2.065380-4 1.382438+4 2.290868-4 1.250166+4 2.511886-4 1.135611+4 2.754229-4 1.024573+4 3.000000-4 9.252564+3 3.311311-4 8.140663+3 3.672823-4 7.058963+3 4.073803-4 6.074869+3 4.518559-4 5.193186+3 5.069907-4 4.329233+3 5.623413-4 3.652092+3 6.165950-4 3.117490+3 6.839116-4 2.586465+3 7.585776-4 2.129596+3 8.609938-4 1.665123+3 9.549926-4 1.352103+3 1.059254-3 1.090160+3 1.174898-3 8.727344+2 1.303167-3 6.940169+2 1.462177-3 5.340403+2 1.640590-3 4.078898+2 1.840772-3 3.091549+2 2.041738-3 2.393092+2 2.290868-3 1.786700+2 2.570396-3 1.324420+2 2.917427-3 9.453845+1 3.311311-3 6.699129+1 3.758374-3 4.711837+1 4.265795-3 3.289387+1 4.841724-3 2.279510+1 5.495409-3 1.568293+1 6.237348-3 1.071352+1 7.079458-3 7.267879+0 8.317638-3 4.395387+0 9.332543-3 3.052737+0 1.035142-2 2.183268+0 1.114000-2 1.712999+0 1.273503-2 1.084874+0 1.333521-2 9.319308-1 1.513561-2 6.187234-1 1.659587-2 4.539534-1 1.840772-2 3.180470-1 2.344229-2 1.368841-1 2.786121-2 7.437895-2 3.311311-2 4.011433-2 4.073803-2 1.896150-2 5.248075-2 7.521043-3 6.456542-2 3.509865-3 9.885531-2 7.289899-4 1.230269-1 3.273705-4 1.479108-1 1.680349-4 1.717908-1 9.832248-5 1.949845-1 6.288683-5 2.213095-1 4.050734-5 2.483133-1 2.735514-5 2.754229-1 1.934450-5 3.054921-1 1.377899-5 3.349654-1 1.026015-5 3.672823-1 7.691608-6 4.027170-1 5.807945-6 4.415705-1 4.420107-6 4.786301-1 3.503458-6 5.188000-1 2.794557-6 5.623413-1 2.243638-6 6.095369-1 1.813310-6 6.606935-1 1.475673-6 7.161434-1 1.208969-6 7.762471-1 9.970610-7 8.511380-1 8.058446-7 9.225714-1 6.737804-7 1.000000+0 5.677700-7 1.096478+0 4.709378-7 1.202264+0 3.935371-7 1.333521+0 3.242885-7 1.496236+0 2.636068-7 1.678804+0 2.157215-7 1.883649+0 1.777707-7 2.113489+0 1.475189-7 2.398833+0 1.210718-7 2.722701+0 1.000923-7 3.126079+0 8.193512-8 3.630781+0 6.647421-8 4.265795+0 5.349447-8 5.069907+0 4.272635-8 6.095369+0 3.388867-8 7.413102+0 2.669335-8 9.120108+0 2.089153-8 1.148154+1 1.603295-8 1.462177+1 1.222591-8 2.000000+1 8.677400-9 2.851018+1 5.943665-9 4.315191+1 3.850644-9 7.079458+1 2.312042-9 1.318257+2 1.227776-9 2.630268+2 6.11328-10 1.047129+3 1.52842-10 1.000000+5 1.59790-12 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 6.290000-6 6.290000-6 1.000000+5 6.290000-6 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 6.290000-6 0.0 1.000000+5 1.000000+5 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 4.983740-8 1.028750+0 4.983740-7 1.031000+0 1.173690-6 1.032000+0 1.605900-6 1.033200+0 2.249590-6 1.034000+0 2.761580-6 1.035300+0 3.748460-6 1.036640+0 4.983740-6 1.038200+0 6.725720-6 1.039700+0 8.738060-6 1.041500+0 1.162590-5 1.043800+0 1.613710-5 1.046400+0 2.245180-5 1.048300+0 2.795310-5 1.051200+0 3.791770-5 1.054080+0 4.983740-5 1.057700+0 6.793160-5 1.061100+0 8.836190-5 1.065100+0 1.169810-4 1.070400+0 1.632010-4 1.076200+0 2.255440-4 1.080600+0 2.816670-4 1.087100+0 3.794980-4 1.093710+0 4.983740-4 1.102600+0 6.909860-4 1.110700+0 9.011770-4 1.120600+0 1.205500-3 1.133300+0 1.676150-3 1.147500+0 2.314250-3 1.158200+0 2.876030-3 1.174100+0 3.843920-3 1.190110+0 4.983740-3 1.205100+0 6.203690-3 1.227500+0 8.303020-3 1.250000+0 1.073000-2 1.265600+0 1.258580-2 1.294900+0 1.642500-2 1.331800+0 2.185190-2 1.362600+0 2.682710-2 1.411700+0 3.550120-2 1.455800+0 4.400220-2 1.500000+0 5.320000-2 1.562500+0 6.740910-2 1.617200+0 8.097310-2 1.712900+0 1.070020-1 1.784700+0 1.281870-1 1.892300+0 1.619300-1 2.000000+0 1.971000-1 2.044000+0 2.116000-1 2.163500+0 2.515860-1 2.372600+0 3.231050-1 2.647100+0 4.178060-1 3.000000+0 5.378000-1 3.437500+0 6.804070-1 4.000000+0 8.526000-1 4.750000+0 1.063930+0 5.000000+0 1.130000+0 6.000000+0 1.374000+0 7.000000+0 1.592000+0 8.000000+0 1.788000+0 9.000000+0 1.966000+0 1.000000+1 2.127000+0 1.100000+1 2.274000+0 1.200000+1 2.408000+0 1.300000+1 2.533000+0 1.400000+1 2.648000+0 1.500000+1 2.755000+0 1.600000+1 2.856000+0 1.800000+1 3.040000+0 2.000000+1 3.205000+0 2.200000+1 3.354000+0 2.400000+1 3.490000+0 2.600000+1 3.614000+0 2.800000+1 3.728000+0 3.000000+1 3.833000+0 4.000000+1 4.262000+0 5.000000+1 4.581000+0 6.000000+1 4.831000+0 8.000000+1 5.201000+0 1.000000+2 5.464000+0 1.500000+2 5.883000+0 2.000000+2 6.134000+0 3.000000+2 6.425000+0 4.000000+2 6.592000+0 5.000000+2 6.703000+0 6.000000+2 6.781000+0 8.000000+2 6.886000+0 1.000000+3 6.954000+0 1.500000+3 7.052000+0 2.000000+3 7.106000+0 3.000000+3 7.164000+0 4.000000+3 7.195000+0 5.000000+3 7.215000+0 6.000000+3 7.228000+0 8.000000+3 7.246000+0 1.000000+4 7.257000+0 1.500000+4 7.273000+0 2.000000+4 7.281000+0 3.000000+4 7.290000+0 4.000000+4 7.295000+0 5.000000+4 7.297000+0 6.000000+4 7.299000+0 8.000000+4 7.302000+0 1.000000+5 7.303000+0 1 32000 7 8 7.259000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 3.213040-7 2.106600+0 1.046840-6 2.114000+0 1.448440-6 2.119500+0 1.803300-6 2.127900+0 2.445610-6 2.136250+0 3.213040-6 2.147000+0 4.405300-6 2.156900+0 5.721960-6 2.169000+0 7.636310-6 2.184500+0 1.061470-5 2.201800+0 1.468580-5 2.214800+0 1.829730-5 2.234200+0 2.461320-5 2.253680+0 3.213040-5 2.281500+0 4.500430-5 2.307000+0 5.911310-5 2.338200+0 7.948270-5 2.377400+0 1.100740-4 2.410200+0 1.399960-4 2.446800+0 1.780830-4 2.485900+0 2.242160-4 2.532900+0 2.869480-4 2.556430+0 3.213040-4 2.611900+0 4.096960-4 2.660400+0 4.952980-4 2.745300+0 6.629180-4 2.809000+0 8.028280-4 2.904500+0 1.034220-3 3.000000+0 1.291000-3 3.125000+0 1.664780-3 3.234400+0 2.025770-3 3.425800+0 2.728260-3 3.569300+0 3.308510-3 3.784700+0 4.253400-3 4.000000+0 5.269000-3 4.250000+0 6.510210-3 4.625000+0 8.460690-3 5.000000+0 1.049000-2 5.500000+0 1.328050-2 6.000000+0 1.611000-2 6.750000+0 2.031520-2 7.000000+0 2.170000-2 8.000000+0 2.713000-2 9.000000+0 3.232000-2 1.000000+1 3.726000-2 1.100000+1 4.194000-2 1.200000+1 4.636000-2 1.300000+1 5.052000-2 1.400000+1 5.449000-2 1.500000+1 5.825000-2 1.600000+1 6.182000-2 1.800000+1 6.846000-2 2.000000+1 7.450000-2 2.200000+1 8.004000-2 2.400000+1 8.515000-2 2.600000+1 8.987000-2 2.800000+1 9.425000-2 3.000000+1 9.834000-2 4.000000+1 1.153000-1 5.000000+1 1.283000-1 6.000000+1 1.386000-1 8.000000+1 1.542000-1 1.000000+2 1.656000-1 1.500000+2 1.846000-1 2.000000+2 1.966000-1 3.000000+2 2.113000-1 4.000000+2 2.201000-1 5.000000+2 2.262000-1 6.000000+2 2.307000-1 8.000000+2 2.368000-1 1.000000+3 2.409000-1 1.500000+3 2.470000-1 2.000000+3 2.505000-1 3.000000+3 2.543000-1 4.000000+3 2.565000-1 5.000000+3 2.579000-1 6.000000+3 2.589000-1 8.000000+3 2.601000-1 1.000000+4 2.609000-1 1.500000+4 2.620000-1 2.000000+4 2.627000-1 3.000000+4 2.633000-1 4.000000+4 2.637000-1 5.000000+4 2.639000-1 6.000000+4 2.641000-1 8.000000+4 2.642000-1 1.000000+5 2.643000-1 1 32000 7 8 7.259000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 32000 7 9 7.259000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 3.200000+1 1.000000+5 3.200000+1 5.000000+5 3.198300+1 6.718700+5 3.197320+1 7.890600+5 3.196790+1 9.296900+5 3.196240+1 1.000000+6 3.196000+1 1.500000+6 3.193000+1 1.875000+6 3.189190+1 2.000000+6 3.187700+1 2.500000+6 3.180900+1 3.000000+6 3.172700+1 3.500000+6 3.162920+1 4.000000+6 3.152200+1 4.500000+6 3.140440+1 5.000000+6 3.127500+1 5.687500+6 3.107480+1 6.437500+6 3.083470+1 6.500000+6 3.081370+1 7.000000+6 3.064500+1 7.500000+6 3.046700+1 8.250000+6 3.018850+1 8.500000+6 3.009580+1 9.000000+6 2.990700+1 9.750000+6 2.961550+1 1.000000+7 2.951900+1 1.109400+7 2.907540+1 1.187500+7 2.874980+1 1.203100+7 2.868530+1 1.250000+7 2.849100+1 1.375000+7 2.796850+1 1.500000+7 2.746000+1 1.687500+7 2.671890+1 1.750000+7 2.647800+1 1.937500+7 2.575910+1 2.000000+7 2.552700+1 2.250000+7 2.462160+1 2.375000+7 2.418700+1 2.500000+7 2.376100+1 2.875000+7 2.252060+1 3.000000+7 2.211800+1 3.250000+7 2.131880+1 3.625000+7 2.014850+1 3.750000+7 1.976530+1 4.000000+7 1.901400+1 4.250000+7 1.827850+1 4.625000+7 1.721260+1 4.750000+7 1.686740+1 5.000000+7 1.619200+1 5.437500+7 1.506200+1 5.750000+7 1.430080+1 6.000000+7 1.372300+1 6.500000+7 1.264540+1 7.000000+7 1.168000+1 8.000000+7 1.007700+1 9.000000+7 8.867300+0 9.750000+7 8.169060+0 1.000000+8 7.968100+0 1.062500+8 7.524950+0 1.125000+8 7.150920+0 1.156300+8 6.984680+0 1.250000+8 6.555900+0 1.437500+8 5.908410+0 1.500000+8 5.727400+0 1.625000+8 5.386990+0 1.718800+8 5.138180+0 1.750000+8 5.055070+0 1.815400+8 4.880110+0 1.920900+8 4.592450+0 2.000000+8 4.373200+0 2.062500+8 4.198130+0 2.375000+8 3.432770+0 2.390600+8 3.402330+0 2.500000+8 3.210800+0 2.781300+8 2.834550+0 2.859400+8 2.729120+0 2.875000+8 2.707020+0 2.929700+8 2.627310+0 3.000000+8 2.517800+0 3.062500+8 2.414040+0 3.308600+8 2.029230+0 3.377000+8 1.944080+0 3.459000+8 1.859500+0 3.500000+8 1.824700+0 3.562500+8 1.781460+0 3.617200+8 1.751120+0 4.000000+8 1.611200+0 4.125000+8 1.557940+0 5.000000+8 1.184300+0 5.125000+8 1.151650+0 5.343800+8 1.106040+0 6.000000+8 1.003900+0 6.250000+8 9.646950-1 7.000000+8 8.526000-1 7.625000+8 7.762030-1 7.875000+8 7.461360-1 8.000000+8 7.307000-1 8.250000+8 6.987230-1 8.468800+8 6.701960-1 8.851600+8 6.205280-1 9.138700+8 5.844360-1 9.569300+8 5.333650-1 1.000000+9 4.868000-1 1.062500+9 4.275040-1 1.141100+9 3.647760-1 1.206900+9 3.204850-1 1.280200+9 2.783100-1 1.358700+9 2.400600-1 1.452900+9 2.018170-1 1.500000+9 1.853100-1 1.562500+9 1.656870-1 1.671900+9 1.367750-1 1.753900+9 1.189230-1 1.877000+9 9.701320-2 2.000000+9 7.978600-2 2.187500+9 6.010810-2 2.363300+9 4.680150-2 2.605300+9 3.389200-2 2.827400+9 2.570760-2 3.099000+9 1.875990-2 3.447500+9 1.293170-2 3.835600+9 8.864650-3 4.501000+9 4.997650-3 5.000000+9 3.419800-3 8.000000+9 6.239200-4 1.00000+10 2.793000-4 1.20500+10 1.438610-4 1.41820+10 8.113420-5 1.71170+10 4.219650-5 2.01490+10 2.408820-5 2.26440+10 1.618020-5 2.74790+10 8.415310-6 3.41360+10 4.076840-6 4.02450+10 2.365040-6 4.77140+10 1.352840-6 5.73000+10 7.454640-7 7.25500+10 3.480840-7 9.08500+10 1.694890-7 1.00000+11 1.248800-7 1.34280+11 4.915740-8 1.77440+11 2.050830-8 2.63330+11 6.015100-9 3.75720+11 2.015450-9 6.61190+11 3.61198-10 1.48990+12 3.16384-11 4.26460+12 1.42265-12 2.06510+13 1.44912-14 1.00000+14 1.50660-16 5.62340+14 9.77956-19 7.49890+15 4.75429-22 1.00000+17 2.20690-25 1 32000 7 0 7.259000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 4.20000-12 1.000000+2 4.20000-10 1.000000+3 4.200000-8 1.000000+4 4.200000-6 1.000000+5 4.200000-4 5.000000+5 1.050000-2 6.718700+5 1.895919-2 7.890600+5 2.614986-2 9.296900+5 3.630159-2 1.000000+6 4.200000-2 1.500000+6 9.490000-2 1.875000+6 1.472790-1 2.000000+6 1.671000-1 2.500000+6 2.582000-1 3.000000+6 3.667000-1 3.500000+6 4.911540-1 4.000000+6 6.300000-1 4.500000+6 7.815440-1 5.000000+6 9.440000-1 5.687500+6 1.181900+0 6.437500+6 1.456120+0 6.500000+6 1.479550+0 7.000000+6 1.669100+0 7.500000+6 1.861660+0 8.250000+6 2.154310+0 8.500000+6 2.252220+0 9.000000+6 2.448600+0 9.750000+6 2.741790+0 1.000000+7 2.839000+0 1.109400+7 3.258150+0 1.187500+7 3.551100+0 1.203100+7 3.608670+0 1.250000+7 3.781000+0 1.375000+7 4.228340+0 1.500000+7 4.659000+0 1.687500+7 5.274650+0 1.750000+7 5.472300+0 1.937500+7 6.044370+0 2.000000+7 6.229000+0 2.250000+7 6.940480+0 2.375000+7 7.282720+0 2.500000+7 7.618800+0 2.875000+7 8.594270+0 3.000000+7 8.912000+0 3.250000+7 9.537820+0 3.625000+7 1.045210+1 3.750000+7 1.075110+1 4.000000+7 1.133800+1 4.250000+7 1.191040+1 4.625000+7 1.274030+1 4.750000+7 1.300910+1 5.000000+7 1.353600+1 5.437500+7 1.441840+1 5.750000+7 1.501990+1 6.000000+7 1.548600+1 6.500000+7 1.637580+1 7.000000+7 1.721500+1 8.000000+7 1.874100+1 9.000000+7 2.007400+1 9.750000+7 2.095250+1 1.000000+8 2.122400+1 1.062500+8 2.185550+1 1.125000+8 2.242960+1 1.156300+8 2.269730+1 1.250000+8 2.343000+1 1.437500+8 2.463730+1 1.500000+8 2.498300+1 1.625000+8 2.560950+1 1.718800+8 2.603340+1 1.750000+8 2.616560+1 1.815400+8 2.643200+1 1.920900+8 2.683070+1 2.000000+8 2.710900+1 2.062500+8 2.731290+1 2.375000+8 2.819760+1 2.390600+8 2.823600+1 2.500000+8 2.849200+1 2.781300+8 2.903610+1 2.859400+8 2.916720+1 2.875000+8 2.919090+1 2.929700+8 2.927320+1 3.000000+8 2.937700+1 3.062500+8 2.946050+1 3.308600+8 2.975560+1 3.377000+8 2.982540+1 3.459000+8 2.990690+1 3.500000+8 2.994700+1 3.562500+8 3.000140+1 3.617200+8 3.004820+1 4.000000+8 3.034000+1 4.125000+8 3.041960+1 5.000000+8 3.087200+1 5.125000+8 3.092310+1 5.343800+8 3.100980+1 6.000000+8 3.123600+1 6.250000+8 3.130710+1 7.000000+8 3.149200+1 7.625000+8 3.160820+1 7.875000+8 3.164930+1 8.000000+8 3.166800+1 8.250000+8 3.170060+1 8.468800+8 3.172840+1 8.851600+8 3.176770+1 9.138700+8 3.179570+1 9.569300+8 3.182970+1 1.000000+9 3.186000+1 1.062500+9 3.189010+1 1.141100+9 3.192270+1 1.206900+9 3.193950+1 1.280200+9 3.195710+1 1.358700+9 3.196710+1 1.452900+9 3.197720+1 1.500000+9 3.198200+1 1.562500+9 3.198410+1 1.671900+9 3.198770+1 1.753900+9 3.199020+1 1.877000+9 3.199370+1 2.000000+9 3.199700+1 2.187500+9 3.199730+1 2.363300+9 3.199750+1 2.605300+9 3.199790+1 2.827400+9 3.199810+1 3.099000+9 3.199840+1 3.447500+9 3.199880+1 3.835600+9 3.199910+1 4.501000+9 3.199970+1 5.000000+9 3.200000+1 8.000000+9 3.200000+1 1.00000+10 3.200000+1 1.20500+10 3.200000+1 1.41820+10 3.200000+1 1.71170+10 3.200000+1 2.01490+10 3.200000+1 2.26440+10 3.200000+1 2.74790+10 3.200000+1 3.41360+10 3.200000+1 4.02450+10 3.200000+1 4.77140+10 3.200000+1 5.73000+10 3.200000+1 7.25500+10 3.200000+1 9.08500+10 3.200000+1 1.00000+11 3.200000+1 1.34280+11 3.200000+1 1.77440+11 3.200000+1 2.63330+11 3.200000+1 3.75720+11 3.200000+1 6.61190+11 3.200000+1 1.48990+12 3.200000+1 4.26460+12 3.200000+1 2.06510+13 3.200000+1 1.00000+14 3.200000+1 5.62340+14 3.200000+1 7.49890+15 3.200000+1 1.00000+17 3.200000+1 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.005204-6 0.0 3.258643-6 0.0 3.270674-6 5.774558-1 3.274684-6 7.674994-1 3.282705-6 1.401900+0 3.290726-6 2.363797+0 3.299749-6 3.879699+0 3.313660-6 6.768421+0 3.323310-6 8.654325+0 3.331566-6 9.740989+0 3.339978-6 1.007033+1 3.347999-6 9.597347+0 3.356538-6 8.349004+0 3.370069-6 5.575004+0 3.378954-6 3.768689+0 3.387476-6 2.371629+0 3.394995-6 1.449855+0 3.403016-6 7.975770-1 3.414546-6 2.280572-1 3.419057-6 0.0 3.470947-6 0.0 3.485898-6 3.147074-1 3.488034-6 3.592069-1 3.496577-6 6.561207-1 3.505654-6 1.144701+0 3.514731-6 1.815786+0 3.529962-6 3.206874+0 3.539827-6 4.050417+0 3.549220-6 4.572759+0 3.556979-6 4.725450+0 3.565829-6 4.509310+0 3.575002-6 3.926139+0 3.588451-6 2.721116+0 3.599096-6 1.763830+0 3.607640-6 1.138668+0 3.616183-6 6.785644-1 3.624726-6 3.732838-1 3.637541-6 9.489026-2 3.641813-6 0.0 4.187705-6 0.0 4.208562-6 7.017422-7 4.218920-6 1.611952-6 4.229279-6 2.812597-6 4.239638-6 4.548152-6 4.249997-6 6.819857-6 4.270715-6 1.225126-5 4.281073-6 1.469032-5 4.291432-6 1.636260-5 4.301791-6 1.693369-5 4.312150-6 1.628519-5 4.322509-6 1.455445-5 4.332868-6 1.208746-5 4.353585-6 6.685250-6 4.363944-6 4.449600-6 4.374303-6 2.749121-6 4.384662-6 1.557640-6 4.393855-6 7.411607-7 4.395021-6 6.785799-7 4.410839-6 1.631682-7 4.415738-6 2.68522-15 4.420866-6 3.54883-15 4.442629-6 6.233179-7 4.453510-6 1.138541-6 4.464990-6 1.978327-6 4.475820-6 3.053494-6 4.497480-6 5.746371-6 4.508310-6 7.004616-6 4.519140-6 7.890478-6 4.529970-6 8.213051-6 4.540800-6 7.898507-6 4.551630-6 7.017541-6 4.562460-6 5.759539-6 4.584120-6 3.057381-6 4.594968-6 1.975886-6 4.605850-6 1.177487-6 4.616731-6 6.477451-7 4.630107-6 2.536556-7 4.637592-6 2.733827-8 4.638031-6 3.269028-3 4.660863-6 1.686226+0 4.672279-6 3.078382+0 4.683694-6 5.188001+0 4.696537-6 8.510530+0 4.716337-6 1.483677+1 4.730072-6 1.896254+1 4.741822-6 2.133613+1 4.753796-6 2.205032+1 4.765212-6 2.100861+1 4.777366-6 1.827084+1 4.796625-6 1.219525+1 4.809270-6 8.241897+0 4.821399-6 5.219862+0 4.832101-6 3.252147+0 4.843517-6 1.894779+0 4.849896-6 1.464465+0 4.866349-6 9.519001-1 4.874443-6 1.360264+0 4.886524-6 2.270562+0 4.898835-6 3.567446+0 4.913575-6 5.572136+0 4.937449-6 9.089138+0 4.948443-6 1.037011+1 4.959661-6 1.114545+1 4.970985-6 1.122619+1 4.982754-6 1.052214+1 4.996586-6 8.849120+0 5.029412-6 3.910476+0 5.041351-6 2.527846+0 5.052832-6 1.542276+0 5.064769-6 9.197372-1 5.088644-6 2.575275-1 5.109277-6 4.468298-1 5.125128-6 5.878277-1 5.137499-6 6.643737-1 5.149870-6 6.931524-1 5.162241-6 6.675733-1 5.174612-6 5.935034-1 5.194716-6 4.133507-1 5.211726-6 2.580593-1 5.224097-6 1.665941-1 5.236469-6 9.927818-2 5.248840-6 5.461374-2 5.266624-6 1.561612-2 5.273582-6 0.0 5.293780-6 0.0 5.294044-6 6.583753-4 5.320105-6 6.451020-1 5.333136-6 1.178000+0 5.346981-6 2.054614+0 5.360251-6 3.200565+0 5.399103-6 7.297385+0 5.412516-6 8.236886+0 5.425666-6 8.567646+0 5.439117-6 8.217779+0 5.455548-6 7.004082+0 5.489503-6 3.615347+0 5.503264-6 2.488515+0 5.516379-6 1.786553+0 5.529383-6 1.364962+0 5.536547-6 1.257232+0 5.548077-6 1.121962+0 5.554965-6 1.102928+0 5.562265-6 1.285249+0 5.576917-6 1.795336+0 5.593095-6 2.522886+0 5.617289-6 3.792357+0 5.632100-6 4.399264+0 5.646410-6 4.802608+0 5.661651-6 5.038032+0 5.704168-6 5.253226+0 5.728986-6 5.163559+0 5.742876-6 4.882873+0 5.756766-6 4.396825+0 5.791899-6 2.710405+0 5.805878-6 2.107235+0 5.818209-6 1.803473+0 5.821574-6 1.737444+0 5.834831-6 1.671638+0 5.848474-6 1.831466+0 5.864179-6 2.239757+0 5.877549-6 2.690101+0 5.897237-6 3.519673+0 5.914834-6 4.084587+0 5.931055-6 4.401382+0 5.946761-6 4.514284+0 5.963863-6 4.392063+0 6.004205-6 3.742106+0 6.022931-6 3.416063+0 6.050417-6 3.146076+0 6.092048-6 3.360741+0 6.129690-6 3.624198+0 6.167143-6 3.554460+0 6.228796-6 3.412064+0 6.544327-6 3.449832+0 8.081231-6 2.966932+0 8.121013-6 5.324138+0 8.140904-6 7.277370+0 8.160794-6 1.024234+1 8.183172-6 1.491804+1 8.240358-6 2.943453+1 8.263823-6 3.311328+1 8.282547-6 3.403339+1 8.295768-6 3.352990+1 8.308067-6 3.339900+1 8.326588-6 3.199245+1 8.349034-6 3.008082+1 8.358967-6 2.988466+1 8.377063-6 3.092103+1 8.397785-6 3.518591+1 8.425286-6 4.500209+1 8.461267-6 5.971431+1 8.480680-6 6.461295+1 8.498617-6 6.670987+1 8.519957-6 6.382465+1 8.542165-6 5.584428+1 8.574300-6 3.955860+1 8.599737-6 2.662071+1 8.620151-6 1.817019+1 8.640564-6 1.194896+1 8.660978-6 7.818795+0 8.701805-6 2.763342+0 1.138282-5 1.937438+0 1.250208-5 1.660652+0 1.257335-5 1.788612+0 1.262517-5 1.993228+0 1.268035-5 2.362444+0 1.275768-5 2.895796+0 1.277903-5 2.984049+0 1.281749-5 2.997226+0 1.284827-5 2.894853+0 1.289563-5 2.574126+0 1.296366-5 2.048503+0 1.299526-5 1.855768+0 1.303417-5 1.691739+0 1.309561-5 1.545747+0 1.313597-5 1.506260+0 1.343316-5 1.443586+0 1.356542-5 1.489993+0 1.373074-5 1.680469+0 1.379686-5 1.665973+0 1.396218-5 1.440279+0 1.402354-5 1.413673+0 1.421478-5 1.425201+0 1.474370-5 1.287549+0 1.609892-5 1.028041+0 1.739978-5 8.380599-1 1.863677-5 6.984989-1 2.015979-5 5.674701-1 2.148860-5 4.805730-1 2.297987-5 4.058551-1 2.466363-5 3.432429-1 2.681722-5 2.863845-1 2.934247-5 2.426131-1 3.111192-5 2.219228-1 3.126508-5 1.019221+0 3.134165-5 1.678752+0 3.141823-5 2.679165+0 3.150330-5 4.232476+0 3.155959-5 5.565536+0 3.173626-5 1.005190+1 3.182390-5 1.180916+1 3.190466-5 1.281482+1 3.197696-5 1.316202+1 3.207326-5 1.286925+1 3.218146-5 1.187685+1 3.233148-5 9.861643+0 3.253441-5 6.235659+0 3.264348-5 4.149078+0 3.269282-5 3.437469+0 3.277042-5 2.450270+0 3.284803-5 1.662870+0 3.292563-5 1.090682+0 3.300324-5 7.086723-1 3.306919-5 4.060548-1 3.308084-5 3.580942-1 3.314731-5 2.949058-1 3.330357-5 2.037660-1 3.532053-5 1.924635-1 3.549440-5 2.865974-1 3.558134-5 3.646956-1 3.566828-5 4.833414-1 3.575522-5 6.457256-1 3.603339-5 1.314927+0 3.611954-5 1.467925+0 3.623014-5 1.559603+0 3.633285-5 1.565023+0 3.662990-5 1.438873+0 3.692289-5 1.407674+0 3.732233-5 1.118202+0 3.746660-5 1.066371+0 3.772675-5 1.088435+0 3.786540-5 1.128045+0 3.911185-5 1.095433+0 4.200000-5 1.151300+0 4.400000-5 1.247462+0 4.623810-5 1.431420+0 4.857324-5 1.712150+0 5.188000-5 2.254081+0 5.644422-5 3.229299+0 6.950000-5 6.321132+0 8.005250-5 8.331134+0 9.359443-5 1.040838+1 1.083927-4 1.213404+1 1.200003-4 1.306988+1 1.226280-4 1.373295+1 1.257789-4 1.396711+1 1.479842-4 1.464588+1 1.690200-4 1.481785+1 1.710082-4 1.555314+1 1.726644-4 1.656568+1 1.738405-4 1.630068+1 1.758701-4 1.523683+1 1.925551-4 1.521155+1 2.855452-4 1.270652+1 3.919468-4 9.785427+0 4.890477-4 7.813500+0 5.854637-4 6.387188+0 6.938251-4 5.213752+0 8.152467-4 4.257405+0 9.437029-4 3.517598+0 1.111483-3 2.819275+0 1.194148-3 2.568379+0 1.201606-3 2.652794+0 1.206108-3 2.845153+0 1.209859-3 3.165487+0 1.213454-3 3.661089+0 1.217356-3 4.437277+0 1.223558-3 6.085389+0 1.233534-3 8.847264+0 1.240000-3 1.016591+1 1.264519-3 1.393024+1 1.275813-3 1.490376+1 1.296633-3 1.514137+1 1.371498-3 1.426953+1 1.387042-3 1.473266+1 1.405684-3 1.547152+1 1.653123-3 1.233123+1 1.929780-3 9.858556+0 2.250365-3 7.806743+0 2.607654-3 6.205486+0 2.984376-3 4.995765+0 3.429528-3 3.977868+0 3.934439-3 3.164667+0 4.453998-3 2.564852+0 4.983104-3 2.117018+0 5.467138-3 1.803054+0 6.173888-3 1.457887+0 6.949180-3 1.183449+0 7.799245-3 9.636227-1 8.639805-3 8.023245-1 9.689594-3 6.521762-1 1.074606-2 5.409429-1 1.079681-2 5.411214-1 1.084828-2 5.739786-1 1.087707-2 6.209451-1 1.090118-2 6.897503-1 1.092605-2 8.013929-1 1.095214-2 9.714561-1 1.098330-2 1.252945+0 1.102616-2 1.767739+0 1.110191-2 2.769633+0 1.115324-2 3.268549+0 1.119689-2 3.511302+0 1.125658-2 3.640708+0 1.173630-2 3.471763+0 1.338338-2 2.819499+0 1.522299-2 2.276097+0 1.736824-2 1.826019+0 1.960267-2 1.480328+0 2.193141-2 1.217869+0 2.427517-2 1.015301+0 2.680196-2 8.496298-1 2.991745-2 6.945144-1 3.280806-2 5.854350-1 3.647396-2 4.800885-1 4.012007-2 4.007851-1 4.441277-2 3.299669-1 4.905377-2 2.723813-1 5.418582-2 2.243823-1 6.000000-2 1.836678-1 6.682176-2 1.484477-1 7.432065-2 1.200693-1 8.315488-2 9.593717-2 9.296198-2 7.660178-2 1.030365-1 6.222704-2 1.136478-1 5.105432-2 1.244515-1 4.248872-2 1.363952-1 3.530184-2 1.497044-1 2.923472-2 1.637124-1 2.440593-2 1.802844-1 2.009936-2 1.998872-1 1.636715-2 2.220956-1 1.327815-2 2.437986-1 1.107206-2 2.668976-1 9.294068-3 2.947048-1 7.700181-3 3.264366-1 6.369703-3 3.567334-1 5.421682-3 3.981072-1 4.467529-3 4.479711-1 3.656828-3 4.963199-1 3.095638-3 5.461900-1 2.666769-3 6.099756-1 2.263876-3 6.998420-1 1.870763-3 7.679138-1 1.662133-3 9.015711-1 1.376045-3 1.070165+0 1.145026-3 1.286622+0 9.428672-4 1.546860+0 7.764004-4 1.859734+0 6.393239-4 2.235892+0 5.264488-4 2.688134+0 4.335022-4 3.231848+0 3.569657-4 3.885536+0 2.939421-4 4.671441+0 2.420455-4 5.616308+0 1.993114-4 6.752287+0 1.641222-4 8.118035+0 1.351458-4 9.760024+0 1.112853-4 1.000000+1 2.232216-4 1 32000 7 0 7.259000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-3.194800+1 2.930556-6-3.099519+1 3.185272-6-2.977510+1 3.250500-6-2.825898+1 3.299749-6-2.495130+1 3.314788-6-2.566324+1 3.329419-6-2.836594+1 3.344374-6-3.211005+1 3.359892-6-2.869764+1 3.374442-6-2.754329+1 3.394995-6-2.853393+1 3.438673-6-3.162865+1 3.459708-6-3.210933+1 3.520104-6-2.981369+1 3.543832-6-3.099825+1 3.556979-6-3.213834+1 3.585020-6-2.970840+1 3.615249-6-3.000794+1 3.680467-6-3.178613+1 3.775234-6-3.216583+1 4.395021-6-2.955686+1 4.551630-6-2.744470+1 4.611291-6-2.534692+1 4.636656-6-2.336433+1 4.687619-6-1.745034+1 4.699035-6-1.689266+1 4.711521-6-1.748310+1 4.722937-6-1.942406+1 4.735423-6-2.307959+1 4.759545-6-3.261515+1 4.767478-6-2.944931+1 4.781973-6-2.519618+1 4.792937-6-2.339745+1 4.806862-6-2.295503+1 4.821399-6-2.424763+1 4.866714-6-3.147642+1 4.875360-6-3.261332+1 4.903601-6-2.981931+1 4.925351-6-2.957325+1 4.947108-6-3.162623+1 4.956129-6-3.261182+1 4.986482-6-2.730931+1 5.006258-6-2.531338+1 5.026158-6-2.502005+1 5.089378-6-2.915294+1 5.137499-6-3.087059+1 5.248840-6-3.290678+1 5.320105-6-3.007857+1 5.365683-6-2.828752+1 5.394165-6-2.922138+1 5.428924-6-3.296689+1 5.459660-6-2.981721+1 5.489503-6-2.928880+1 5.563483-6-3.311537+1 5.610587-6-3.191248+1 5.672194-6-3.323286+1 5.774718-6-3.048556+1 5.820733-6-3.174997+1 5.874530-6-3.368591+1 5.926953-6-3.338391+1 5.998554-6-3.194763+1 6.129690-6-3.260512+1 6.964258-6-3.294244+1 7.583909-6-2.859885+1 7.817136-6-2.550973+1 7.943952-6-2.248368+1 8.019621-6-1.943707+1 8.064174-6-1.651109+1 8.081231-6-1.467010+1 8.121013-6-1.014352+1 8.143390-6-7.211925+0 8.163281-6-4.796376+0 8.167632-6-4.352667+0 8.183172-6-3.047386+0 8.187523-6-2.812280+0 8.194050-6-2.612766+0 8.200576-6-2.526868+0 8.205549-6-2.556028+0 8.209279-6-2.662937+0 8.214873-6-2.940612+0 8.220467-6-3.393295+0 8.230413-6-4.457324+0 8.237872-6-5.516325+0 8.258074-6-9.426839+0 8.263823-6-1.093456+1 8.280140-6-1.448116+1 8.287354-6-1.596613+1 8.298965-6-1.722601+1 8.308067-6-1.870363+1 8.326588-6-2.071203+1 8.334362-6-2.075722+1 8.351905-6-1.981618+1 8.374682-6-1.672713+1 8.377063-6-1.615368+1 8.400484-6-1.302825+1 8.410078-6-1.270630+1 8.423028-6-1.291100+1 8.431373-6-1.383589+1 8.442871-6-1.612188+1 8.453898-6-1.949589+1 8.475059-6-2.934391+1 8.478894-6-3.124374+1 8.496326-6-2.099975+1 8.498617-6-1.917111+1 8.518083-6-7.072747+0 8.519957-6-5.742921+0 8.522275-6-4.346751+0 8.526330-6-2.133924+0 8.538497-6 4.031303+0 8.539773-6 4.740878+0 8.542165-6 5.864818+0 8.546351-6 7.582830+0 8.554201-6 1.030875+1 8.561462-6 1.253260+1 8.569277-6 1.426902+1 8.579324-6 1.559318+1 8.588255-6 1.610282+1 8.596867-6 1.606441+1 8.615048-6 1.431018+1 8.638332-6 1.015844+1 8.663530-6 4.788973+0 8.667995-6 3.930157+0 8.691598-6-3.550010-2 8.696701-6-9.929718-1 8.699253-6-1.533944+0 8.700529-6-1.837904+0 8.701805-6-2.211448+0 8.704588-6-2.935677+0 8.707369-6-3.499972+0 8.712925-6-4.460007+0 8.724005-6-6.023113+0 8.740555-6-7.872057+0 8.762478-6-9.792153+0 8.795042-6-1.197014+1 8.850670-6-1.460617+1 8.932018-6-1.715599+1 9.041698-6-1.933336+1 9.223552-6-2.149612+1 9.564354-6-2.354882+1 1.028428-5-2.528621+1 1.256362-5-2.730182+1 1.272696-5-2.736614+1 1.294200-5-2.587446+1 1.369011-5-2.689651+1 2.771391-5-2.923748+1 3.022692-5-3.084792+1 3.061184-5-3.115712+1 3.108654-5-2.929382+1 3.153524-5-2.524227+1 3.166829-5-2.569734+1 3.180964-5-2.812122+1 3.193715-5-3.151300+1 3.216384-5-2.584083+1 3.238240-5-2.243416+1 3.253441-5-2.135409+1 3.264348-5-2.137627+1 3.322544-5-2.537480+1 3.380001-5-2.701718+1 3.601574-5-2.958303+1 3.711449-5-2.868980+1 5.780982-5-3.190104+1 7.413102-5-3.162290+1 1.200003-4-2.713069+1 1.417087-4-2.379719+1 1.652475-4-2.148997+1 1.698244-4-2.172192+1 1.716554-4-2.170205+1 1.742019-4-1.967522+1 1.790926-4-1.972118+1 2.160000-4-1.632789+1 2.520890-4-1.399594+1 3.037649-4-1.171303+1 3.520374-4-1.037341+1 4.165882-4-9.279025+0 4.890477-4-8.633090+0 5.854637-4-8.305364+0 7.317555-4-8.466088+0 8.567002-4-9.057538+0 9.815819-4-1.015958+1 1.070528-3-1.153980+1 1.129245-3-1.308433+1 1.167579-3-1.478858+1 1.190578-3-1.655441+1 1.204683-3-1.854762+1 1.222027-3-2.176243+1 1.232118-3-2.194902+1 1.261000-3-1.948561+1 1.285947-3-1.577300+1 1.305000-3-1.388367+1 1.330547-3-1.220564+1 1.363340-3-1.090835+1 1.387042-3-1.063110+1 1.401779-3-1.050669+1 1.439642-3-8.406599+0 1.473525-3-7.215699+0 1.523657-3-5.974864+0 1.577203-3-4.979184+0 1.653123-3-3.921353+0 1.722860-3-3.178037+0 1.810090-3-2.460823+0 1.893302-3-1.930167+0 1.998439-3-1.413192+0 2.089296-3-1.070385+0 2.168149-3-8.367875-1 2.250365-3-6.407714-1 2.312523-3-5.185490-1 2.376299-3-4.113711-1 2.472415-3-2.796384-1 2.534093-3-2.088970-1 2.594878-3-1.494643-1 2.674161-3-8.787416-2 2.712806-3-6.259466-2 2.744523-3-4.371599-2 2.780258-3-2.408646-2 2.793555-3-1.789315-2 2.853552-3 7.993861-3 2.856825-3 9.318995-3 2.916115-3 2.911209-2 2.933015-3 3.433532-2 2.984376-3 4.689440-2 3.061487-3 6.311979-2 3.136636-3 7.261903-2 3.198895-3 7.786967-2 3.311311-3 8.183156-2 3.364147-3 8.075536-2 3.429528-3 7.755174-2 3.595591-3 5.802760-2 3.672823-3 4.755203-2 3.775739-3 3.128804-2 3.901665-3 7.718696-3 3.934439-3 9.222994-4 4.044595-3-2.251682-2 4.323346-3-8.662923-2 5.173089-3-3.054000-1 7.493548-3-9.174768-1 8.383861-3-1.186856+0 9.142509-3-1.477099+0 9.689594-3-1.764493+0 1.012084-2-2.091724+0 1.040431-2-2.412248+0 1.059075-2-2.723015+0 1.074606-2-3.119672+0 1.084828-2-3.564005+0 1.095744-2-4.358631+0 1.102616-2-4.805788+0 1.107509-2-4.872397+0 1.112879-2-4.639553+0 1.127958-2-3.425314+0 1.136057-2-2.983566+0 1.145838-2-2.623287+0 1.161375-2-2.219688+0 1.181069-2-1.853851+0 1.205593-2-1.524511+0 1.235437-2-1.227859+0 1.271248-2-9.617207-1 1.300072-2-7.881631-1 1.338338-2-6.013261-1 1.379202-2-4.428282-1 1.407361-2-3.537899-1 1.443482-2-2.556079-1 1.462177-2-2.107571-1 1.496235-2-1.391323-1 1.522299-2-9.235247-2 1.562248-2-2.871398-2 1.600940-2 2.293242-2 1.603245-2 2.603499-2 1.634035-2 6.039006-2 1.681333-2 1.079358-1 1.742967-2 1.605409-1 1.780054-2 1.853229-1 1.827394-2 2.125782-1 1.913193-2 2.487940-1 2.011243-2 2.768937-1 2.193141-2 3.063286-1 2.344229-2 3.145885-1 2.680196-2 3.049038-1 3.280806-2 2.581006-1 4.146552-2 1.860485-1 4.905377-2 1.348471-1 5.582793-2 9.891394-2 6.120789-2 7.530703-2 6.682176-2 5.480552-2 7.180004-2 3.920752-2 7.626279-2 2.700678-2 7.967857-2 1.864975-2 8.315488-2 1.095093-2 8.670152-2 3.768998-3 8.836394-2 5.943471-4 9.074074-2-3.650377-3 9.296198-2-7.421527-3 9.622530-2-1.265500-2 1.030365-1-2.226248-2 1.106783-1-3.141891-2 1.204307-1-4.112818-2 1.325439-1-5.080240-2 1.497044-1-6.130547-2 1.737801-1-7.180477-2 2.146438-1-8.305679-2 2.754229-1-9.231219-2 3.825059-1-9.981475-2 6.382635-1-1.054547-1 1.776032+0-1.083242-1 5.363532+0-1.087006-1 1.000000+1-1.087075-1 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.334266-4 1.136596-6 5.670134-4 1.325641-6 1.092803-3 1.466095-6 1.691357-3 1.559158-6 2.218372-3 1.695655-6 3.228985-3 1.803290-6 4.277061-3 1.859642-6 4.932737-3 2.103223-6 8.829771-3 2.245913-6 1.215497-2 2.316646-6 1.418492-2 2.446532-6 1.871230-2 2.513611-6 2.156499-2 2.640420-6 2.807942-2 2.759790-6 3.588083-2 2.816693-6 4.033270-2 2.935337-6 5.137957-2 2.981201-6 5.647397-2 3.077183-6 6.873377-2 3.171150-6 8.338851-2 3.265667-6 1.014600-1 3.341833-6 1.189997-1 3.424369-6 1.418873-1 3.491848-6 1.641126-1 3.559899-6 1.907003-1 3.623697-6 2.203112-1 3.693411-6 2.588627-1 3.739579-6 2.886518-1 3.792147-6 3.280048-1 3.841429-6 3.710723-1 3.887631-6 4.180671-1 3.930946-6 4.691985-1 3.971553-6 5.247295-1 4.009622-6 5.849319-1 4.048711-6 6.566192-1 4.078772-6 7.199625-1 4.110140-6 7.953570-1 4.139548-6 8.764215-1 4.167117-6 9.634505-1 4.192964-6 1.056747+0 4.217195-6 1.156640+0 4.239912-6 1.263490+0 4.261209-6 1.377621+0 4.281175-6 1.499297+0 4.304818-6 1.665723+0 4.317441-6 1.766496+0 4.333892-6 1.912829+0 4.349315-6 2.068252+0 4.363775-6 2.233192+0 4.377330-6 2.408038+0 4.390038-6 2.593157+0 4.404592-6 2.835601+0 4.413122-6 2.995705+0 4.434064-6 3.460740+0 4.452389-6 3.980902+0 4.468423-6 4.564653+0 4.482453-6 5.222661+0 4.495524-6 6.020038+0 4.505471-6 6.797491+0 4.514870-6 7.717507+0 4.523094-6 8.713996+0 4.530290-6 9.768597+0 4.536587-6 1.085869+1 4.542096-6 1.196058+1 4.546917-6 1.305202+1 4.551135-6 1.411394+1 4.558517-6 1.623584+1 4.584010-6 2.656372+1 4.591938-6 3.079726+1 4.598639-6 3.473667+1 4.603212-6 3.759669+1 4.614487-6 4.511735+1 4.615896-6 4.609201+1 4.625762-6 5.300095+1 4.629637-6 5.570710+1 4.637036-6 6.074044+1 4.640912-6 6.325827+1 4.644612-6 6.555337+1 4.648311-6 6.771882+1 4.653244-6 7.036428+1 4.658000-6 7.260816+1 4.662405-6 7.437790+1 4.666104-6 7.561173+1 4.671565-6 7.697516+1 4.678172-6 7.784255+1 4.683170-6 7.790242+1 4.690050-6 7.712906+1 4.694920-6 7.598970+1 4.698531-6 7.483883+1 4.703681-6 7.277036+1 4.708509-6 7.040740+1 4.716312-6 6.583103+1 4.721354-6 6.245925+1 4.725029-6 5.983913+1 4.729877-6 5.621991+1 4.733653-6 5.330552+1 4.738509-6 4.948377+1 4.743442-6 4.556814+1 4.748594-6 4.150073+1 4.755421-6 3.624280+1 4.760354-6 3.259405+1 4.761763-6 3.158070+1 4.767048-6 2.791329+1 4.771672-6 2.489365+1 4.772333-6 2.447773+1 4.783608-6 1.801587+1 4.787946-6 1.586011+1 4.791414-6 1.426965+1 4.795302-6 1.262543+1 4.799815-6 1.089605+1 4.804374-6 9.337451+0 4.809778-6 7.721244+0 4.813559-6 6.731110+0 4.818366-6 5.626813+0 4.825028-6 4.358104+0 4.836592-6 2.775344+0 4.841650-6 2.291497+0 4.844778-6 2.046881+0 4.847711-6 1.852357+0 4.851748-6 1.635660+0 4.852997-6 1.579965+0 4.872347-6 1.302361+0 4.874766-6 1.336282+0 4.876882-6 1.377325+0 4.880586-6 1.474140+0 4.883364-6 1.567264+0 4.885447-6 1.648490+0 4.888181-6 1.769772+0 4.892073-6 1.970897+0 4.896561-6 2.244081+0 4.903737-6 2.771901+0 4.909758-6 3.299837+0 4.915778-6 3.903263+0 4.927818-6 5.320056+0 4.931392-6 5.788482+0 4.938800-6 6.815161+0 4.943997-6 7.570154+0 4.951899-6 8.747791+0 4.956037-6 9.367229+0 4.960976-6 1.009717+1 4.965444-6 1.073983+1 4.970053-6 1.137540+1 4.974498-6 1.195286+1 4.978989-6 1.249221+1 4.984210-6 1.305203+1 4.988772-6 1.347303+1 4.994416-6 1.389456+1 4.999464-6 1.417003+1 5.002532-6 1.428778+1 5.008512-6 1.440550+1 5.012879-6 1.439660+1 5.020959-6 1.417061+1 5.026089-6 1.389132+1 5.028454-6 1.372905+1 5.036933-6 1.298899+1 5.041739-6 1.247214+1 5.045790-6 1.199066+1 5.049726-6 1.148901+1 5.054335-6 1.086706+1 5.058780-6 1.024069+1 5.063271-6 9.589906+0 5.067845-6 8.917605+0 5.072301-6 8.261420+0 5.078322-6 7.385996+0 5.083589-6 6.641786+0 5.085847-6 6.331512+0 5.091114-6 5.632334+0 5.096382-6 4.973089+0 5.108422-6 3.640453+0 5.113055-6 3.197177+0 5.116759-6 2.871169+0 5.120463-6 2.570191+0 5.125730-6 2.184340+0 5.132080-6 1.782444+0 5.138605-6 1.436594+0 5.154474-6 8.399119-1 5.160652-6 6.847324-1 5.163705-6 6.209745-1 5.166734-6 5.652320-1 5.169739-6 5.166717-1 5.173331-6 4.665817-1 5.175679-6 4.380525-1 5.178615-6 4.066122-1 5.181527-6 3.795891-1 5.184417-6 3.564275-1 5.190129-6 3.197148-1 5.195752-6 2.929893-1 5.201287-6 2.734462-1 5.209419-6 2.529238-1 5.212746-6 2.463527-1 5.220287-6 2.335691-1 5.227987-6 2.217104-1 5.235642-6 2.096224-1 5.245322-6 1.927501-1 5.254812-6 1.742046-1 5.264081-6 1.546155-1 5.273060-6 1.350167-1 5.281758-6 1.162490-1 5.290185-6 9.895909-2 5.298348-6 8.356695-2 5.314165-6 5.885950-2 5.328992-6 4.284711-2 5.342893-6 3.442097-2 5.368958-6 3.506087-2 5.391764-6 5.163235-2 5.454785-6 1.645079-1 5.551409-6 5.027311-1 5.572959-6 6.088977-1 5.592401-6 7.178211-1 5.614110-6 8.560397-1 5.627827-6 9.532568-1 5.647058-6 1.103639+0 5.674386-6 1.348931+0 5.701714-6 1.637382+0 5.751281-6 2.301389+0 5.806150-6 3.338387+0 5.833584-6 4.030879+0 5.862434-6 4.937020+0 5.883983-6 5.771044+0 5.905723-6 6.793680+0 5.912949-6 7.183748+0 5.927431-6 8.058192+0 5.941914-6 9.082435+0 5.956397-6 1.029882+1 5.967134-6 1.135940+1 5.977871-6 1.259201+1 5.988858-6 1.407773+1 5.999845-6 1.585232+1 6.014327-6 1.877201+1 6.028810-6 2.257959+1 6.036051-6 2.491270+1 6.043293-6 2.759296+1 6.050534-6 3.067167+1 6.057775-6 3.420396+1 6.068327-6 4.028293+1 6.084464-6 5.209953+1 6.106310-6 7.390242+1 6.118927-6 8.989544+1 6.130189-6 1.063029+2 6.139025-6 1.204954+2 6.141971-6 1.254598+2 6.157015-6 1.522909+2 6.158895-6 1.557797+2 6.172058-6 1.805838+2 6.177229-6 1.903341+2 6.187102-6 2.085232+2 6.192273-6 2.176502+2 6.197347-6 2.262141+2 6.202145-6 2.338728+2 6.208727-6 2.435339+2 6.215074-6 2.517607+2 6.220950-6 2.582801+2 6.225886-6 2.628518+2 6.233202-6 2.679727+2 6.240471-6 2.709659+2 6.247740-6 2.717647+2 6.250897-6 2.714134+2 6.258535-6 2.688109+2 6.265177-6 2.645635+2 6.270654-6 2.597254+2 6.277548-6 2.520196+2 6.284067-6 2.432099+2 6.287438-6 2.381288+2 6.294556-6 2.263617+2 6.300903-6 2.148523+2 6.307352-6 2.023866+2 6.312776-6 1.914522+2 6.318580-6 1.794489+2 6.323023-6 1.701384+2 6.329373-6 1.567915+2 6.336773-6 1.413936+2 6.345530-6 1.237151+2 6.352582-6 1.101415+2 6.357048-6 1.019281+2 6.362337-6 9.263847+1 6.368566-6 8.235940+1 6.383847-6 6.045133+1 6.389922-6 5.310495+1 6.411201-6 3.342411+1 6.416898-6 2.967267+1 6.422157-6 2.673741+1 6.425552-6 2.510049+1 6.428494-6 2.384004+1 6.432276-6 2.242774+1 6.437839-6 2.075852+1 6.448269-6 1.884544+1 6.451232-6 1.857044+1 6.454418-6 1.839846+1 6.457600-6 1.834926+1 6.459192-6 1.836900+1 6.464764-6 1.865965+1 6.468246-6 1.900711+1 6.471787-6 1.948248+1 6.486639-6 2.264880+1 6.490961-6 2.387097+1 6.510800-6 3.063508+1 6.516813-6 3.290240+1 6.524544-6 3.584064+1 6.530365-6 3.801488+1 6.536712-6 4.029345+1 6.543111-6 4.244219+1 6.549876-6 4.449480+1 6.557533-6 4.648027+1 6.563374-6 4.771270+1 6.568264-6 4.853683+1 6.575441-6 4.937859+1 6.581851-6 4.974348+1 6.587058-6 4.976502+1 6.591934-6 4.956178+1 6.598260-6 4.898176+1 6.601626-6 4.853207+1 6.613359-6 4.625127+1 6.618970-6 4.480708+1 6.623944-6 4.336178+1 6.630431-6 4.127614+1 6.634133-6 3.999954+1 6.640206-6 3.779595+1 6.647026-6 3.520077+1 6.652722-6 3.297209+1 6.658215-6 3.079992+1 6.662022-6 2.929455+1 6.668939-6 2.658845+1 6.675855-6 2.395567+1 6.684748-6 2.073793+1 6.691664-6 1.840350+1 6.697099-6 1.669004+1 6.706177-6 1.409039+1 6.725195-6 9.806924+0 6.731051-6 8.818215+0 6.735756-6 8.137469+0 6.739857-6 7.626702+0 6.744202-6 7.169098+0 6.746276-6 6.980904+0 6.749387-6 6.735103+0 6.752497-6 6.532985+0 6.754895-6 6.406906+0 6.759093-6 6.248490+0 6.762240-6 6.181578+0 6.764601-6 6.160568+0 6.766372-6 6.161223+0 6.768696-6 6.183438+0 6.771716-6 6.248572+0 6.772616-6 6.275909+0 6.805019-6 9.706535+0 6.816388-6 1.203733+1 6.822728-6 1.358149+1 6.839396-6 1.839795+1 6.844767-6 2.015185+1 6.855022-6 2.370396+1 6.859806-6 2.542738+1 6.864925-6 2.729804+1 6.869105-6 2.883429+1 6.874592-6 3.084417+1 6.878119-6 3.212224+1 6.884617-6 3.442297+1 6.889491-6 3.608196+1 6.893472-6 3.738061+1 6.898696-6 3.899156+1 6.905413-6 4.087619+1 6.914355-6 4.299448+1 6.920580-6 4.416594+1 6.926732-6 4.505318+1 6.932132-6 4.559726+1 6.938847-6 4.595591+1 6.940006-6 4.598161+1 6.956170-6 4.523374+1 6.961937-6 4.448436+1 6.964637-6 4.405205+1 6.971725-6 4.268621+1 6.976964-6 4.147894+1 6.982586-6 4.001807+1 6.989294-6 3.808357+1 6.995188-6 3.624401+1 7.001761-6 3.407763+1 7.009141-6 3.155160+1 7.015306-6 2.940791+1 7.021250-6 2.734533+1 7.030798-6 2.411376+1 7.040449-6 2.104553+1 7.056075-6 1.673721+1 7.063888-6 1.497218+1 7.069748-6 1.384356+1 7.071701-6 1.350650+1 7.079282-6 1.239104+1 7.084104-6 1.184583+1 7.086720-6 1.160463+1 7.095878-6 1.106909+1 7.098168-6 1.101099+1 7.101173-6 1.098103+1 7.105036-6 1.101979+1 7.107349-6 1.108455+1 7.114132-6 1.145326+1 7.117575-6 1.174155+1 7.118995-6 1.188011+1 7.133546-6 1.394217+1 7.139536-6 1.511551+1 7.149114-6 1.734957+1 7.165526-6 2.204569+1 7.174152-6 2.484276+1 7.182776-6 2.777547+1 7.186956-6 2.922179+1 7.191136-6 3.067136+1 7.198338-6 3.314745+1 7.203852-6 3.499680+1 7.208074-6 3.636912+1 7.214108-6 3.824220+1 7.220774-6 4.015921+1 7.223494-6 4.088689+1 7.231550-6 4.282860+1 7.238332-6 4.418517+1 7.244255-6 4.513989+1 7.250747-6 4.592373+1 7.257513-6 4.643648+1 7.275282-6 4.628938+1 7.282957-6 4.558592+1 7.290788-6 4.451148+1 7.297073-6 4.341723+1 7.304744-6 4.184282+1 7.313161-6 3.987251+1 7.322235-6 3.754556+1 7.330293-6 3.537705+1 7.341946-6 3.220418+1 7.361325-6 2.724608+1 7.374583-6 2.434919+1 7.384345-6 2.256241+1 7.396970-6 2.073414+1 7.402803-6 2.007768+1 7.408371-6 1.956083+1 7.413939-6 1.914857+1 7.422655-6 1.870395+1 7.429193-6 1.852132+1 7.436680-6 1.845744+1 7.444475-6 1.853912+1 7.451325-6 1.872054+1 7.460259-6 1.908763+1 7.469819-6 1.961171+1 7.485677-6 2.068262+1 7.506920-6 2.227000+1 7.518539-6 2.310499+1 7.529715-6 2.383319+1 7.542598-6 2.454225+1 7.554821-6 2.505880+1 7.569827-6 2.546477+1 7.582176-6 2.561001+1 7.591757-6 2.561326+1 7.602181-6 2.552092+1 7.614573-6 2.530410+1 7.628075-6 2.497227+1 7.675966-6 2.362039+1 7.694523-6 2.324096+1 7.711228-6 2.302054+1 7.732732-6 2.289829+1 7.761312-6 2.294346+1 7.843740-6 2.337872+1 7.994154-6 2.372784+1 8.101920-6 2.403835+1 8.164330-6 2.404101+1 8.293452-6 2.383745+1 8.400133-6 2.389502+1 8.570043-6 2.414055+1 8.665270-6 2.430989+1 8.714461-6 2.430930+1 8.768997-6 2.410985+1 8.822370-6 2.369339+1 8.884846-6 2.311160+1 8.923310-6 2.282662+1 8.959408-6 2.266796+1 8.993285-6 2.264154+1 9.025078-6 2.274301+1 9.040233-6 2.283962+1 9.069596-6 2.312608+1 9.097124-6 2.352852+1 9.122931-6 2.404223+1 9.147293-6 2.466841+1 9.169808-6 2.538985+1 9.191073-6 2.621907+1 9.211008-6 2.715002+1 9.229698-6 2.818238+1 9.247219-6 2.931679+1 9.263978-6 3.058202+1 9.281376-6 3.212092+1 9.298230-6 3.388055+1 9.314558-6 3.589911+1 9.331603-6 3.842152+1 9.356773-6 4.317594+1 9.373425-6 4.721905+1 9.392119-6 5.289313+1 9.405444-6 5.785254+1 9.418906-6 6.380241+1 9.429960-6 6.950984+1 9.444019-6 7.800321+1 9.456393-6 8.677363+1 9.469805-6 9.781571+1 9.497311-6 1.261033+2 9.525221-6 1.633033+2 9.546287-6 1.970530+2 9.556858-6 2.156427+2 9.580266-6 2.598509+2 9.584128-6 2.674342+2 9.603673-6 3.062856+2 9.611720-6 3.222100+2 9.627081-6 3.517704+2 9.635128-6 3.665190+2 9.643273-6 3.807255+2 9.650489-6 3.925758+2 9.660730-6 4.079978+2 9.670605-6 4.210916+2 9.684138-6 4.358330+2 9.695659-6 4.452216+2 9.700230-6 4.481120+2 9.710471-6 4.528604+2 9.722175-6 4.554468+2 9.735361-6 4.550363+2 9.751251-6 4.507158+2 9.779384-6 4.377326+2 9.797583-6 4.304936+2 9.810106-6 4.284369+2 9.821106-6 4.297933+2 9.826480-6 4.318068+2 9.836156-6 4.380570+2 9.844334-6 4.462917+2 9.851296-6 4.556568+2 9.860379-6 4.713854+2 9.869887-6 4.923762+2 9.878144-6 5.145244+2 9.886822-6 5.418148+2 9.896172-6 5.758383+2 9.910421-6 6.366518+2 9.949379-6 8.496447+2 9.961650-6 9.264074+2 9.971992-6 9.926077+2 9.984712-6 1.074123+3 9.997020-6 1.151129+3 1.000802-5 1.216711+3 1.001521-5 1.257230+3 1.002984-5 1.332177+3 1.004174-5 1.384026+3 1.005561-5 1.432398+3 1.006671-5 1.460665+3 1.007368-5 1.473381+3 1.008365-5 1.484639+3 1.009194-5 1.487700+3 1.009674-5 1.486862+3 1.011266-5 1.470661+3 1.012417-5 1.446652+3 1.013532-5 1.414302+3 1.014760-5 1.369405+3 1.015949-5 1.317819+3 1.017007-5 1.266388+3 1.018027-5 1.212786+3 1.019575-5 1.125899+3 1.020784-5 1.055215+3 1.022144-5 9.745516+2 1.023201-5 9.120638+2 1.025921-5 7.575812+2 1.028036-5 6.480739+2 1.030853-5 5.214847+2 1.034438-5 3.947594+2 1.036813-5 3.307788+2 1.038388-5 2.959973+2 1.039958-5 2.666534+2 1.041521-5 2.419968+2 1.043078-5 2.213161+2 1.044939-5 2.008396+2 1.046175-5 1.893621+2 1.047714-5 1.770208+2 1.049389-5 1.656276+2 1.052301-5 1.497134+2 1.055331-5 1.369362+2 1.058338-5 1.268816+2 1.061321-5 1.187279+2 1.064280-5 1.119548+2 1.067217-5 1.062225+2 1.071730-5 9.886555+1 1.075890-5 9.326765+1 1.081582-5 8.696561+1 1.087185-5 8.191130+1 1.092700-5 7.777413+1 1.100002-5 7.326032+1 1.103474-5 7.141865+1 1.109181-5 6.873374+1 1.119011-5 6.489962+1 1.129048-5 6.174793+1 1.142278-5 5.839937+1 1.148230-5 5.712269+1 1.157314-5 5.541467+1 1.174716-5 5.275711+1 1.190318-5 5.082744+1 1.202265-5 4.955666+1 1.217416-5 4.817520+1 1.244937-5 4.609746+1 1.277217-5 4.414937+1 1.326503-5 4.182713+1 1.454351-5 3.721381+1 1.503978-5 3.547551+1 1.524160-5 3.451443+1 1.539400-5 3.367001+1 1.546978-5 3.344566+1 1.550767-5 3.346023+1 1.554556-5 3.358801+1 1.558345-5 3.384061+1 1.562360-5 3.424230+1 1.569712-5 3.525017+1 1.577290-5 3.638174+1 1.581079-5 3.685825+1 1.584868-5 3.721762+1 1.588776-5 3.743837+1 1.593438-5 3.749225+1 1.596235-5 3.742230+1 1.600024-5 3.722488+1 1.607602-5 3.659149+1 1.620745-5 3.531565+1 1.640267-5 3.393455+1 1.652379-5 3.341200+1 1.660453-5 3.321084+1 1.671789-5 3.311680+1 1.685240-5 3.311460+1 1.693779-5 3.304793+1 1.708901-5 3.274356+1 1.730102-5 3.222730+1 1.903849-5 2.899200+1 2.156307-5 2.505777+1 2.462443-5 2.125246+1 2.694958-5 1.882396+1 2.795656-5 1.785770+1 2.931631-5 1.661405+1 3.007871-5 1.594455+1 3.124541-5 1.492008+1 3.251044-5 1.382618+1 3.322263-5 1.319024+1 3.388442-5 1.259540+1 3.474390-5 1.180279+1 3.570000-5 1.087063+1 3.641241-5 1.012844+1 3.710956-5 9.339655+0 3.770000-5 8.620589+0 3.829569-5 7.827307+0 3.866744-5 7.284654+0 3.900000-5 6.756684+0 3.928134-5 6.270524+0 3.954107-5 5.782452+0 3.975557-5 5.346339+0 3.995054-5 4.920752+0 4.015354-5 4.445824+0 4.034083-5 3.981353+0 4.052122-5 3.527122+0 4.066986-5 3.182539+0 4.079233-5 2.961410+0 4.089325-5 2.860291+0 4.097640-5 2.861372+0 4.106496-5 2.978826+0 4.113043-5 3.164952+0 4.117290-5 3.340300+0 4.122668-5 3.633870+0 4.127255-5 3.955724+0 4.131327-5 4.303467+0 4.136564-5 4.846171+0 4.141018-5 5.401769+0 4.146745-5 6.257743+0 4.154779-5 7.761390+0 4.171812-5 1.234239+1 4.180491-5 1.551720+1 4.187223-5 1.840565+1 4.189467-5 1.945263+1 4.197321-5 2.344609+1 4.199084-5 2.441159+1 4.209404-5 3.053872+1 4.214330-5 3.372332+1 4.219966-5 3.754184+1 4.223508-5 4.002067+1 4.229120-5 4.404706+1 4.235076-5 4.840793+1 4.239914-5 5.197913+1 4.245591-5 5.615571+1 4.249734-5 5.916511+1 4.254222-5 6.236140+1 4.260312-5 6.654602+1 4.265359-5 6.983675+1 4.271032-5 7.329688+1 4.277390-5 7.681660+1 4.283302-5 7.969500+1 4.289367-5 8.220505+1 4.292873-5 8.343512+1 4.301666-5 8.575921+1 4.304972-5 8.634018+1 4.312565-5 8.705208+1 4.318175-5 8.701934+1 4.323659-5 8.653622+1 4.330015-5 8.543939+1 4.335241-5 8.412978+1 4.342711-5 8.167621+1 4.349914-5 7.874203+1 4.357445-5 7.518558+1 4.364177-5 7.168020+1 4.371750-5 6.748363+1 4.381279-5 6.200650+1 4.390671-5 5.659703+1 4.403940-5 4.928554+1 4.433527-5 3.582838+1 4.443976-5 3.219869+1 4.454426-5 2.912841+1 4.460638-5 2.754482+1 4.470151-5 2.542957+1 4.479875-5 2.360438+1 4.488991-5 2.215224+1 4.497538-5 2.097917+1 4.513562-5 1.916338+1 4.527584-5 1.788029+1 4.544814-5 1.657481+1 4.561323-5 1.552157+1 4.577425-5 1.462646+1 4.682662-5 1.018869+1 4.705354-5 9.311842+0 4.748221-5 7.776321+0 4.759851-5 7.450607+0 4.771481-5 7.194809+0 4.774745-5 7.137607+0 4.784539-5 7.008100+0 4.788549-5 6.973981+0 4.794564-5 6.943775+0 4.800580-5 6.938508+0 4.805257-5 6.951137+0 4.812273-5 6.995961+0 4.819290-5 7.069070+0 4.830847-5 7.240579+0 4.842424-5 7.457888+0 4.868553-5 8.005178+0 4.881224-5 8.252851+0 4.920490-5 8.787731+0 4.937250-5 8.885821+0 4.948542-5 8.906609+0 4.961169-5 8.889333+0 4.972319-5 8.842664+0 4.982296-5 8.780474+0 5.005475-5 8.588185+0 5.044221-5 8.241321+0 5.066765-5 8.071190+0 5.192199-5 7.328611+0 5.324146-5 6.603865+0 5.392331-5 6.242356+0 5.470000-5 5.835639+0 5.550000-5 5.429051+0 5.774200-5 4.431677+0 5.850000-5 4.158067+0 5.920000-5 3.944153+0 6.000000-5 3.750344+0 6.068750-5 3.633211+0 6.144000-5 3.561843+0 6.237348-5 3.557736+0 6.313345-5 3.628531+0 6.371585-5 3.734731+0 6.480000-5 4.048185+0 6.576105-5 4.454382+0 6.628529-5 4.735223+0 6.769809-5 5.667729+0 6.899655-5 6.765506+0 7.099828-5 8.870935+0 7.244360-5 1.068514+1 7.372180-5 1.247196+1 7.517888-5 1.469155+1 7.650000-5 1.683277+1 7.730000-5 1.818675+1 7.900000-5 2.116663+1 7.950000-5 2.206759+1 8.104110-5 2.489836+1 8.222426-5 2.712127+1 8.317638-5 2.894788+1 8.511380-5 3.271261+1 8.640000-5 3.524098+1 8.738900-5 3.722283+1 9.015711-5 4.284926+1 9.332543-5 4.946580+1 9.660509-5 5.653832+1 1.000000-4 6.409275+1 1.011579-4 6.673848+1 1.060000-4 7.807028+1 1.109348-4 9.003983+1 1.161449-4 1.028529+2 1.208950-4 1.143217+2 1.249107-4 1.236671+2 1.292583-4 1.331727+2 1.326920-4 1.399938+2 1.369444-4 1.473773+2 1.380680-4 1.502378+2 1.389282-4 1.534612+2 1.406536-4 1.612790+2 1.416892-4 1.649493+2 1.431528-4 1.690732+2 1.442562-4 1.728449+2 1.457505-4 1.787162+2 1.468344-4 1.823909+2 1.478246-4 1.850626+2 1.525005-4 1.954908+2 1.562870-4 2.035065+2 1.619123-4 2.145440+2 1.685856-4 2.266647+2 1.745697-4 2.366784+2 1.800694-4 2.449113+2 1.841334-4 2.498878+2 1.863811-4 2.517667+2 1.882005-4 2.528027+2 1.891870-4 2.540602+2 1.897690-4 2.555869+2 1.907112-4 2.601272+2 1.911942-4 2.636469+2 1.921420-4 2.726183+2 1.929674-4 2.812702+2 1.934378-4 2.856902+2 1.939943-4 2.897632+2 1.942943-4 2.912840+2 1.947982-4 2.926638+2 1.955218-4 2.922449+2 1.965274-4 2.886220+2 1.977277-4 2.838446+2 1.985000-4 2.821400+2 1.991758-4 2.817354+2 2.006688-4 2.833733+2 2.033133-4 2.891393+2 2.065381-4 2.969615+2 2.101343-4 3.045374+2 2.180834-4 3.180933+2 2.288258-4 3.335809+2 2.376096-4 3.444507+2 2.477525-4 3.557186+2 2.621440-4 3.692676+2 2.748644-4 3.799892+2 2.900681-4 3.912832+2 3.072558-4 4.021201+2 3.349654-4 4.157600+2 3.543211-4 4.228238+2 3.715352-4 4.278482+2 3.934838-4 4.327364+2 4.402095-4 4.396274+2 4.717175-4 4.419360+2 5.034730-4 4.426632+2 5.651882-4 4.411764+2 6.010644-4 4.388194+2 6.393839-4 4.352060+2 6.797080-4 4.298153+2 7.187245-4 4.238605+2 7.602448-4 4.170595+2 8.004290-4 4.097815+2 8.486918-4 4.002478+2 8.887861-4 3.913708+2 9.369550-4 3.796185+2 9.835049-4 3.667180+2 1.027536-3 3.528788+2 1.064794-3 3.393831+2 1.100067-3 3.242958+2 1.129624-3 3.102042+2 1.155614-3 2.964132+2 1.179705-3 2.820768+2 1.202264-3 2.669137+2 1.221106-3 2.524951+2 1.237741-3 2.379524+2 1.251400-3 2.242928+2 1.261946-3 2.122895+2 1.272380-3 1.986840+2 1.281507-3 1.847894+2 1.289210-3 1.710450+2 1.295198-3 1.588675+2 1.298970-3 1.506124+2 1.303716-3 1.399424+2 1.310052-3 1.264441+2 1.312953-3 1.211644+2 1.315598-3 1.171643+2 1.316927-3 1.155137+2 1.318290-3 1.141014+2 1.319570-3 1.130515+2 1.321165-3 1.121407+2 1.322855-3 1.116784+2 1.325075-3 1.118796+2 1.327164-3 1.129101+2 1.329074-3 1.145472+2 1.330572-3 1.162735+2 1.332095-3 1.184020+2 1.334135-3 1.217910+2 1.336167-3 1.257090+2 1.339745-3 1.336762+2 1.349683-3 1.600799+2 1.357841-3 1.843808+2 1.369588-3 2.240322+2 1.375000-3 2.439287+2 1.379000-3 2.587511+2 1.383000-3 2.732553+2 1.387641-3 2.892299+2 1.393000-3 3.060599+2 1.399263-3 3.231948+2 1.406135-3 3.389571+2 1.414251-3 3.541750+2 1.423776-3 3.685768+2 1.431898-3 3.787389+2 1.442781-3 3.900935+2 1.454046-3 3.996730+2 1.465735-3 4.076921+2 1.496737-3 4.259122+2 1.503772-3 4.311519+2 1.517409-3 4.438135+2 1.543313-3 4.747329+2 1.550817-3 4.833418+2 1.559262-3 4.919883+2 1.570000-3 5.013568+2 1.582085-3 5.101453+2 1.594043-3 5.175545+2 1.615008-3 5.286674+2 1.633280-3 5.369860+2 1.673718-3 5.518039+2 1.717373-3 5.638821+2 1.767274-3 5.740540+2 1.845082-3 5.849303+2 1.936088-3 5.928218+2 2.024813-3 5.962736+2 2.173181-3 5.965602+2 2.300000-3 5.930821+2 2.478097-3 5.835504+2 2.663684-3 5.715165+2 2.954762-3 5.494995+2 3.320856-3 5.203470+2 3.765057-3 4.856215+2 4.215827-3 4.521969+2 4.623810-3 4.241768+2 5.147539-3 3.909113+2 5.583095-3 3.654442+2 6.022809-3 3.414933+2 6.501935-3 3.173757+2 7.018539-3 2.933644+2 7.559769-3 2.701420+2 8.175230-3 2.460106+2 8.508503-3 2.338028+2 9.112861-3 2.130175+2 9.398155-3 2.037143+2 9.903452-3 1.877883+2 1.031506-2 1.751196+2 1.064922-2 1.646831+2 1.089786-2 1.565273+2 1.109337-2 1.495998+2 1.118183-2 1.461916+2 1.125244-2 1.432831+2 1.132563-2 1.400197+2 1.138582-2 1.370591+2 1.144099-2 1.340262+2 1.148796-2 1.311202+2 1.154021-2 1.274701+2 1.161621-2 1.214657+2 1.170029-2 1.149251+2 1.173954-2 1.125786+2 1.177880-2 1.110713+2 1.180378-2 1.106422+2 1.183168-2 1.106839+2 1.186696-2 1.115013+2 1.190150-2 1.130259+2 1.195693-2 1.165186+2 1.205663-2 1.236740+2 1.211347-2 1.271679+2 1.217308-2 1.300707+2 1.224634-2 1.326871+2 1.234398-2 1.350359+2 1.245338-2 1.367335+2 1.258925-2 1.380198+2 1.277890-2 1.388872+2 1.305866-2 1.389436+2 1.327777-2 1.383566+2 1.370086-2 1.363347+2 1.425813-2 1.326947+2 1.490049-2 1.279175+2 1.565463-2 1.219872+2 1.683631-2 1.128269+2 1.821000-2 1.030253+2 1.963793-2 9.395254+1 2.161500-2 8.305273+1 2.384661-2 7.275201+1 2.599772-2 6.438394+1 2.894222-2 5.489398+1 3.248494-2 4.594708+1 3.643115-2 3.834799+1 4.021303-2 3.260761+1 5.612154-2 1.848020+1 7.242954-2 1.182769+1 9.126467-2 7.854548+0 1.093489-1 5.670275+0 1.312459-1 4.048870+0 1.630897-1 2.691239+0 2.166263-1 1.565462+0 3.022126-1 8.223021-1 4.244744-1 4.231708-1 6.360083-1 1.904668-1 1.175215+0 5.616062-2 3.543651+0 6.193316-3 1.070165+1 6.792874-4 3.231848+1 7.448484-5 9.760024+1 8.167130-6 2.947480+2 8.955083-7 8.901248+2 9.819054-8 3.162278+3 7.779854-9 1.000000+4 7.77985-10 3.162278+4 7.77985-11 1.000000+5 7.77985-12 1 33000 7 7 7.492160+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 8.726500-7 1.258900-6 1.383100-6 1.584900-6 2.192000-6 1.995300-6 3.474100-6 2.511900-6 5.506000-6 3.162300-6 8.726400-6 3.981100-6 1.383000-5 5.011900-6 2.192000-5 6.309600-6 3.474000-5 7.943300-6 5.505900-5 1.000000-5 8.726100-5 1.258900-5 1.383000-4 1.584900-5 2.191800-4 1.995300-5 3.473700-4 2.511900-5 5.505400-4 3.162300-5 8.724000-4 3.981100-5 1.382100-3 5.011900-5 2.189500-3 6.309600-5 3.469000-3 7.943300-5 5.496400-3 1.000000-4 8.705200-3 1.258900-4 1.378300-2 1.584900-4 2.179700-2 1.995300-4 3.445200-2 2.511900-4 5.435400-2 3.162300-4 8.554300-2 3.981100-4 1.340800-1 5.011900-4 2.086100-1 6.309600-4 3.211700-1 7.943300-4 4.871400-1 1.000000-3 7.238200-1 1.258900-3 1.047300+0 1.584900-3 1.469000+0 1.995300-3 1.994500+0 2.511900-3 2.629400+0 3.162300-3 3.376600+0 3.981100-3 4.230900+0 5.011900-3 5.197600+0 6.309600-3 6.287100+0 7.943300-3 7.500000+0 1.000000-2 8.813400+0 1.258900-2 1.018100+1 1.584900-2 1.151900+1 1.995300-2 1.273400+1 2.511900-2 1.377800+1 3.162300-2 1.456800+1 3.981100-2 1.521500+1 5.011900-2 1.554200+1 6.309600-2 1.560600+1 7.943300-2 1.544300+1 1.000000-1 1.505900+1 1.258900-1 1.452400+1 1.584900-1 1.383000+1 1.995300-1 1.303100+1 2.511900-1 1.216200+1 3.162300-1 1.126000+1 3.981100-1 1.035200+1 5.011900-1 9.456000+0 6.309600-1 8.584400+0 7.943300-1 7.747100+0 1.000000+0 6.948500+0 1.258900+0 6.194800+0 1.584900+0 5.488000+0 1.995300+0 4.831000+0 2.511900+0 4.226000+0 3.162300+0 3.674100+0 3.981100+0 3.175500+0 5.011900+0 2.729400+0 6.309600+0 2.333800+0 7.943300+0 1.985900+0 1.000000+1 1.682500+0 1.258900+1 1.419600+0 1.584900+1 1.193500+0 1.995300+1 1.000100+0 2.511900+1 8.354800-1 3.162300+1 6.960900-1 3.981100+1 5.785400-1 5.011900+1 4.797800-1 6.309600+1 3.970900-1 7.943300+1 3.280500-1 1.000000+2 2.705600-1 1.258900+2 2.228100-1 1.584900+2 1.832400-1 1.995300+2 1.505000-1 2.511900+2 1.234600-1 3.162300+2 1.011800-1 3.981100+2 8.282800-2 5.011900+2 6.774400-2 6.309600+2 5.535900-2 7.943300+2 4.520100-2 1.000000+3 3.687900-2 1.258900+3 3.006700-2 1.584900+3 2.449600-2 1.995300+3 1.994500-2 2.511900+3 1.623000-2 3.162300+3 1.319900-2 3.981100+3 1.072800-2 5.011900+3 8.715000-3 6.309600+3 7.076300-3 7.943300+3 5.742900-3 1.000000+4 4.658700-3 1.258900+4 3.777500-3 1.584900+4 3.061700-3 1.995300+4 2.480600-3 2.511900+4 2.009000-3 3.162300+4 1.626400-3 3.981100+4 1.316200-3 5.011900+4 1.064800-3 6.309600+4 8.611500-4 7.943300+4 6.962200-4 1.000000+5 5.627000-4 1 33000 7 7 7.492160+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159547-4 3.981072-4 3.976751-4 5.011872-4 5.005043-4 6.309573-4 6.298794-4 7.943282-4 7.926300-4 1.000000-3 9.973308-4 1.258925-3 1.254743-3 1.584893-3 1.578360-3 1.995262-3 1.985081-3 2.511886-3 2.496018-3 3.162278-3 3.137613-3 3.981072-3 3.942699-3 5.011872-3 4.952134-3 6.309573-3 6.216470-3 7.943282-3 7.798143-3 1.000000-2 9.774105-3 1.258925-2 1.223876-2 1.584893-2 1.530787-2 1.995262-2 1.912211-2 2.511886-2 2.385010-2 3.162278-2 2.969129-2 3.981072-2 3.688649-2 5.011872-2 4.572091-2 6.309573-2 5.651938-2 7.943282-2 6.964578-2 1.000000-1 8.558264-2 1.258925-1 1.047492-1 1.584893-1 1.278227-1 1.995262-1 1.554228-1 2.511886-1 1.883711-1 3.162278-1 2.275371-1 3.981072-1 2.739178-1 5.011872-1 3.287193-1 6.309573-1 3.932849-1 7.943282-1 4.693146-1 1.000000+0 5.587889-1 1.258925+0 6.641324-1 1.584893+0 7.885286-1 1.995262+0 9.355961-1 2.511886+0 1.110126+0 3.162278+0 1.317847+0 3.981072+0 1.565764+0 5.011872+0 1.862524+0 6.309573+0 2.218696+0 7.943282+0 2.647217+0 1.000000+1 3.163801+0 1.258925+1 3.787801+0 1.584893+1 4.542905+0 1.995262+1 5.458086+0 2.511886+1 6.569005+0 3.162278+1 7.918838+0 3.981072+1 9.561362+0 5.011872+1 1.156206+1 6.309573+1 1.400167+1 7.943282+1 1.697930+1 1.000000+2 2.061662+1 1.258925+2 2.506383+1 1.584893+2 3.050553+1 1.995262+2 3.716881+1 2.511886+2 4.533393+1 3.162278+2 5.534647+1 3.981072+2 6.763084+1 5.011872+2 8.271395+1 6.309573+2 1.012437+2 7.943282+2 1.240189+2 1.000000+3 1.520280+2 1.258925+3 1.864926+2 1.584893+3 2.289192+2 1.995262+3 2.811787+2 2.511886+3 3.455636+2 3.162278+3 4.249406+2 3.981072+3 5.228242+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739844-9 3.981072-5 4.341918-9 5.011872-5 6.881098-9 6.309573-5 1.090543-8 7.943282-5 1.728333-8 1.000000-4 2.738736-8 1.258925-4 4.339789-8 1.584893-4 6.874890-8 1.995262-4 1.089163-7 2.511886-4 1.724991-7 3.162278-4 2.730823-7 3.981072-4 4.321171-7 5.011872-4 6.829634-7 6.309573-4 1.077930-6 7.943282-4 1.698283-6 1.000000-3 2.669194-6 1.258925-3 4.182530-6 1.584893-3 6.533670-6 1.995262-3 1.018094-5 2.511886-3 1.586886-5 3.162278-3 2.466501-5 3.981072-3 3.837232-5 5.011872-3 5.973880-5 6.309573-3 9.310333-5 7.943282-3 1.451398-4 1.000000-2 2.258954-4 1.258925-2 3.504896-4 1.584893-2 5.410572-4 1.995262-2 8.305083-4 2.511886-2 1.268761-3 3.162278-2 1.931485-3 3.981072-2 2.924229-3 5.011872-2 4.397814-3 6.309573-2 6.576357-3 7.943282-2 9.787041-3 1.000000-1 1.441736-2 1.258925-1 2.114338-2 1.584893-1 3.066660-2 1.995262-1 4.410343-2 2.511886-1 6.281753-2 3.162278-1 8.869070-2 3.981072-1 1.241894-1 5.011872-1 1.724680-1 6.309573-1 2.376725-1 7.943282-1 3.250136-1 1.000000+0 4.412111-1 1.258925+0 5.947930-1 1.584893+0 7.963646-1 1.995262+0 1.059666+0 2.511886+0 1.401760+0 3.162278+0 1.844430+0 3.981072+0 2.415308+0 5.011872+0 3.149348+0 6.309573+0 4.090878+0 7.943282+0 5.296066+0 1.000000+1 6.836199+0 1.258925+1 8.801453+0 1.584893+1 1.130603+1 1.995262+1 1.449454+1 2.511886+1 1.854986+1 3.162278+1 2.370394+1 3.981072+1 3.024936+1 5.011872+1 3.855666+1 6.309573+1 4.909407+1 7.943282+1 6.245352+1 1.000000+2 7.938338+1 1.258925+2 1.008287+2 1.584893+2 1.279838+2 1.995262+2 1.623574+2 2.511886+2 2.058547+2 3.162278+2 2.608813+2 3.981072+2 3.304763+2 5.011872+2 4.184733+2 6.309573+2 5.297136+2 7.943282+2 6.703093+2 1.000000+3 8.479720+2 1.258925+3 1.072433+3 1.584893+3 1.355974+3 1.995262+3 1.714084+3 2.511886+3 2.166323+3 3.162278+3 2.737337+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 7.810000-6 3.479900+7 8.035261-6 3.394201+7 8.120000-6 3.357229+7 8.120000-6 5.041249+7 8.317638-6 4.928451+7 8.413951-6 4.872545+7 8.609938-6 4.750586+7 8.709636-6 4.687770+7 8.912509-6 4.554311+7 9.100000-6 4.432656+7 9.225714-6 4.347330+7 9.500000-6 4.162895+7 9.660509-6 4.053693+7 9.930000-6 3.874776+7 1.000000-5 3.827384+7 1.035142-5 3.595979+7 1.071519-5 3.361662+7 1.120000-5 3.063051+7 1.122018-5 3.051157+7 1.165000-5 2.801474+7 1.174898-5 2.746824+7 1.216186-5 2.525097+7 1.230269-5 2.453530+7 1.273503-5 2.242622+7 1.290000-5 2.167083+7 1.333521-5 1.977311+7 1.350000-5 1.910016+7 1.400000-5 1.717820+7 1.420000-5 1.646990+7 1.462177-5 1.505720+7 1.496236-5 1.401616+7 1.531087-5 1.302125+7 1.570000-5 1.200315+7 1.610000-5 1.104019+7 1.659587-5 9.967580+6 1.698244-5 9.206680+6 1.770000-5 7.967430+6 1.786000-5 7.715855+6 1.786000-5 7.886504+6 1.798871-5 7.679069+6 1.800000-5 7.661145+6 1.825000-5 7.274252+6 1.845000-5 6.982799+6 1.867000-5 6.679483+6 1.883649-5 6.461159+6 1.890000-5 6.379064+6 1.910000-5 6.129024+6 1.927525-5 5.920243+6 1.932000-5 5.867989+6 1.949845-5 5.665316+6 1.970000-5 5.447223+6 1.985000-5 5.291966+6 2.000000-5 5.142437+6 2.018366-5 4.966786+6 2.035000-5 4.812251+6 2.047000-5 4.704652+6 2.062000-5 4.574538+6 2.070000-5 4.507054+6 2.078000-5 4.440344+6 2.095000-5 4.302794+6 2.113489-5 4.159477+6 2.162719-5 3.807341+6 2.175000-5 3.725689+6 2.186400-5 3.651962+6 2.187762-5 3.643285+6 2.195000-5 3.597023+6 2.202000-5 3.553022+6 2.210000-5 3.503605+6 2.217000-5 3.461111+6 2.222000-5 3.431177+6 2.227000-5 3.401586+6 2.232000-5 3.372334+6 2.238721-5 3.333540+6 2.245000-5 3.297569+6 2.252000-5 3.258075+6 2.257000-5 3.230250+6 2.262000-5 3.202741+6 2.269000-5 3.164752+6 2.275000-5 3.132667+6 2.281000-5 3.101017+6 2.289000-5 3.059479+6 2.297000-5 3.018684+6 2.304000-5 2.983585+6 2.315000-5 2.929530+6 2.326000-5 2.876785+6 2.344229-5 2.792163+6 2.377000-5 2.648314+6 2.400000-5 2.553317+6 2.420000-5 2.474456+6 2.426610-5 2.449115+6 2.442000-5 2.390894+6 2.460000-5 2.325171+6 2.477000-5 2.265362+6 2.483133-5 2.244297+6 2.493000-5 2.210794+6 2.511886-5 2.148554+6 2.530000-5 2.091122+6 2.550000-5 2.030165+6 2.570396-5 1.970534+6 2.595000-5 1.901826+6 2.620000-5 1.835431+6 2.650000-5 1.760026+6 2.680000-5 1.688976+6 2.710000-5 1.621988+6 2.740000-5 1.558789+6 2.770000-5 1.499127+6 2.800000-5 1.442770+6 2.840000-5 1.372398+6 2.851018-5 1.353872+6 2.885000-5 1.299096+6 2.935000-5 1.224369+6 2.985383-5 1.155558+6 3.040000-5 1.087557+6 3.100000-5 1.019904+6 3.162278-5 9.565990+5 3.235937-5 8.896983+5 3.311311-5 8.290209+5 3.349654-5 8.007335+5 3.388442-5 7.743002+5 3.470000-5 7.233586+5 3.570000-5 6.687145+5 3.589219-5 6.590112+5 3.650000-5 6.304095+5 3.672823-5 6.205488+5 3.770000-5 5.814448+5 3.900000-5 5.362646+5 4.027170-5 4.997530+5 4.120975-5 4.759105+5 4.168694-5 4.651762+5 4.315191-5 4.353829+5 4.415704-5 4.177171+5 4.466836-5 4.096242+5 4.518559-5 4.015568+5 4.623810-5 3.869704+5 4.650000-5 3.836433+5 4.677351-5 3.800847+5 4.800000-5 3.657498+5 4.850000-5 3.604701+5 5.000000-5 3.456607+5 5.011872-5 3.445908+5 5.055000-5 3.409548+5 5.055000-5 1.077125+6 5.080000-5 1.071544+6 5.132000-5 1.059885+6 5.132000-5 1.512752+6 5.150000-5 1.509867+6 5.188000-5 1.506456+6 5.240000-5 1.502248+6 5.308844-5 1.501609+6 5.330000-5 1.501351+6 5.370318-5 1.503588+6 5.400000-5 1.505426+6 5.470000-5 1.514424+6 5.480000-5 1.515991+6 5.550000-5 1.531960+6 5.559043-5 1.534434+6 5.623413-5 1.556303+6 5.630000-5 1.558932+6 5.690000-5 1.585694+6 5.700000-5 1.590826+6 5.754399-5 1.621273+6 5.774200-5 1.632593+6 5.821032-5 1.664561+6 5.850000-5 1.684537+6 5.920000-5 1.741026+6 5.950000-5 1.766889+6 5.956621-5 1.773032+6 6.000000-5 1.813990+6 6.030000-5 1.844063+6 6.110000-5 1.931097+6 6.150000-5 1.977827+6 6.165950-5 1.997641+6 6.237348-5 2.088742+6 6.309573-5 2.187717+6 6.382635-5 2.294832+6 6.400000-5 2.321040+6 6.531306-5 2.531476+6 6.606934-5 2.660428+6 6.650000-5 2.736597+6 6.683439-5 2.797172+6 6.800000-5 3.012174+6 6.839116-5 3.086191+6 6.850000-5 3.107080+6 6.918310-5 3.236360+6 6.950000-5 3.297887+6 7.000000-5 3.395043+6 7.079458-5 3.547498+6 7.161434-5 3.706509+6 7.244360-5 3.865171+6 7.300000-5 3.970966+6 7.328245-5 4.022719+6 7.400000-5 4.156663+6 7.413102-5 4.180758+6 7.450000-5 4.249124+6 7.500000-5 4.337962+6 7.585776-5 4.488554+6 7.650000-5 4.597334+6 7.673615-5 4.636212+6 7.730000-5 4.730025+6 7.800000-5 4.840654+6 7.900000-5 4.994728+6 7.950000-5 5.067301+6 8.035261-5 5.186660+6 8.080000-5 5.249930+6 8.128305-5 5.313148+6 8.222426-5 5.430779+6 8.300000-5 5.528861+6 8.317638-5 5.549386+6 8.511380-5 5.764563+6 8.738900-5 5.986372+6 8.800000-5 6.037568+6 9.015711-5 6.219037+6 9.332543-5 6.444899+6 9.660509-5 6.642683+6 1.000000-4 6.813209+6 1.011579-4 6.866868+6 1.047129-4 7.008433+6 1.060000-4 7.054187+6 1.080000-4 7.112932+6 1.096478-4 7.160863+6 1.100000-4 7.171056+6 1.109175-4 7.193765+6 1.150000-4 7.268303+6 1.161449-4 7.284498+6 1.190000-4 7.307517+6 1.202264-4 7.312580+6 1.205000-4 7.313692+6 1.230269-4 7.311073+6 1.240000-4 7.310074+6 1.244515-4 7.307871+6 1.288250-4 7.265909+6 1.303167-4 7.239978+6 1.333521-4 7.188398+6 1.350000-4 7.148137+6 1.380384-4 7.075666+6 1.396368-4 7.033633+6 1.437800-4 6.909094+6 1.437800-4 7.218503+6 1.445440-4 7.198052+6 1.462177-4 7.148959+6 1.489500-4 7.060482+6 1.489500-4 7.171313+6 1.519300-4 7.088279+6 1.530000-4 7.056998+6 1.531087-4 7.053800+6 1.540000-4 7.027757+6 1.545000-4 7.011674+6 1.560800-4 6.960981+6 1.580000-4 6.900066+6 1.603245-4 6.827475+6 1.621810-4 6.767010+6 1.635000-4 6.721476+6 1.690000-4 6.538837+6 1.698244-4 6.512574+6 1.720000-4 6.441121+6 1.737801-4 6.381431+6 1.800000-4 6.179702+6 1.819701-4 6.116217+6 1.820000-4 6.115267+6 1.883649-4 5.908511+6 1.905461-4 5.840996+6 1.927525-4 5.771528+6 1.949845-4 5.698729+6 1.950000-4 5.698231+6 2.018366-4 5.484786+6 2.020000-4 5.479710+6 2.020200-4 5.479077+6 2.020200-4 5.690714+6 2.040000-4 5.629795+6 2.041738-4 5.624188+6 2.089296-4 5.475673+6 2.137962-4 5.330111+6 2.162719-4 5.256842+6 2.187762-4 5.179542+6 2.230000-4 5.054518+6 2.238721-4 5.029281+6 2.260000-4 4.968475+6 2.264644-4 4.955252+6 2.290868-4 4.879724+6 2.300000-4 4.853732+6 2.330000-4 4.767103+6 2.350000-4 4.710789+6 2.371374-4 4.651552+6 2.398833-4 4.576808+6 2.426610-4 4.503543+6 2.454709-4 4.429284+6 2.483133-4 4.354125+6 2.500000-4 4.310665+6 2.540973-4 4.207383+6 2.600160-4 4.065268+6 2.630268-4 3.995083+6 2.650000-4 3.949762+6 2.660725-4 3.924876+6 2.691535-4 3.854589+6 2.770000-4 3.685621+6 2.786121-4 3.652154+6 2.800000-4 3.623607+6 2.851018-4 3.520147+6 2.884032-4 3.454242+6 2.917427-4 3.389779+6 2.951209-4 3.325578+6 3.019952-4 3.201335+6 3.054921-4 3.140162+6 3.126079-4 3.017010+6 3.200000-4 2.897180+6 3.235937-4 2.841586+6 3.273407-4 2.784040+6 3.280000-4 2.774118+6 3.311311-4 2.726791+6 3.388442-4 2.615447+6 3.427678-4 2.561458+6 3.467369-4 2.508715+6 3.507519-4 2.456690+6 3.548134-4 2.405250+6 3.589219-4 2.354061+6 3.630781-4 2.303981+6 3.715352-4 2.206950+6 3.801894-4 2.113575+6 3.850000-4 2.063884+6 3.890451-4 2.023372+6 3.935501-4 1.979082+6 4.100000-4 1.828567+6 4.120975-4 1.810620+6 4.168694-4 1.770729+6 4.216965-4 1.731374+6 4.265795-4 1.691950+6 4.365158-4 1.616031+6 4.500000-4 1.520949+6 4.518559-4 1.508525+6 4.600000-4 1.454836+6 4.731513-4 1.373123+6 4.786301-4 1.341068+6 4.841724-4 1.309827+6 4.897788-4 1.279379+6 4.954502-4 1.249427+6 5.011872-4 1.219987+6 5.150000-4 1.152573+6 5.308844-4 1.081684+6 5.370318-4 1.055808+6 5.432503-4 1.030598+6 5.500000-4 1.004095+6 5.559043-4 9.815057+5 5.688529-4 9.344064+5 5.754399-4 9.117237+5 5.888437-4 8.676897+5 5.956621-4 8.465375+5 6.000000-4 8.333828+5 6.025596-4 8.257678+5 6.095369-4 8.054510+5 6.237348-4 7.659826+5 6.309573-4 7.468784+5 6.531306-4 6.924495+5 6.606934-4 6.752696+5 6.700000-4 6.547725+5 6.839116-4 6.256527+5 7.161434-4 5.647763+5 7.244360-4 5.505018+5 7.300000-4 5.412284+5 7.328245-4 5.365986+5 7.413102-4 5.229400+5 7.852356-4 4.590587+5 8.128305-4 4.246272+5 8.200000-4 4.162482+5 8.222426-4 4.136407+5 8.609938-4 3.720985+5 9.015711-4 3.348210+5 9.120108-4 3.260154+5 9.440609-4 3.008885+5 9.549926-4 2.929376+5 9.772372-4 2.776550+5 9.885531-4 2.703327+5 1.000000-3 2.631163+5 1.011579-3 2.561030+5 1.023293-3 2.492867+5 1.035142-3 2.426218+5 1.083927-3 2.176838+5 1.096478-3 2.118696+5 1.109175-3 2.061456+5 1.122018-3 2.005844+5 1.148154-3 1.899317+5 1.150000-3 1.892078+5 1.161449-3 1.847823+5 1.202264-3 1.701887+5 1.216186-3 1.655528+5 1.230269-3 1.610365+5 1.244515-3 1.566494+5 1.273503-3 1.482199+5 1.328300-3 1.338859+5 1.328300-3 4.914399+5 1.331600-3 5.086532+5 1.333521-3 5.162465+5 1.335900-3 5.258712+5 1.340500-3 5.383626+5 1.342000-3 5.418249+5 1.350000-3 5.502301+5 1.353000-3 5.527160+5 1.365000-3 5.566376+5 1.365700-3 5.566543+5 1.365700-3 6.331243+5 1.365820-3 6.349342+5 1.366100-3 6.419750+5 1.366400-3 6.494913+5 1.366700-3 6.569286+5 1.367000-3 6.642560+5 1.367300-3 6.714135+5 1.367600-3 6.783310+5 1.367850-3 6.839573+5 1.368200-3 6.915061+5 1.368500-3 6.976338+5 1.368900-3 7.053341+5 1.369350-3 7.133457+5 1.369700-3 7.190749+5 1.370200-3 7.264780+5 1.370650-3 7.323700+5 1.371000-3 7.364794+5 1.371500-3 7.416629+5 1.372200-3 7.477121+5 1.373000-3 7.531143+5 1.373300-3 7.547727+5 1.375000-3 7.588699+5 1.376500-3 7.621427+5 1.380384-3 7.642930+5 1.381500-3 7.649192+5 1.383000-3 7.652214+5 1.385000-3 7.648345+5 1.393000-3 7.611616+5 1.395000-3 7.598839+5 1.396368-3 7.586259+5 1.404000-3 7.516816+5 1.412538-3 7.432081+5 1.419000-3 7.357074+5 1.430000-3 7.245027+5 1.445000-3 7.077695+5 1.462177-3 6.887605+5 1.470000-3 6.803278+5 1.500000-3 6.474639+5 1.519200-3 6.267876+5 1.519200-3 7.117635+5 1.531087-3 6.986657+5 1.548817-3 6.796391+5 1.566751-3 6.611537+5 1.570000-3 6.578821+5 1.630000-3 6.014528+5 1.640590-3 5.920650+5 1.659587-3 5.757224+5 1.678804-3 5.598434+5 1.698244-3 5.444100+5 1.737801-3 5.146507+5 1.757924-3 5.004011+5 1.840772-3 4.472769+5 1.850000-3 4.418603+5 1.883649-3 4.228537+5 1.905461-3 4.111516+5 1.927525-3 3.997277+5 1.949845-3 3.885004+5 1.972423-3 3.775966+5 2.070000-3 3.351179+5 2.113489-3 3.183492+5 2.137962-3 3.092917+5 2.162719-3 3.004975+5 2.187762-3 2.919158+5 2.213095-3 2.835802+5 2.290868-3 2.600039+5 2.300000-3 2.573886+5 2.317395-3 2.524725+5 2.426610-3 2.244224+5 2.454709-3 2.179202+5 2.511886-3 2.054917+5 2.540973-3 1.995522+5 2.600160-3 1.881184+5 2.691535-3 1.721963+5 2.722701-3 1.671991+5 2.754229-3 1.623477+5 2.800000-3 1.555230+5 2.851018-3 1.483600+5 2.951209-3 1.355863+5 3.054921-3 1.239281+5 3.090295-3 1.202332+5 3.126079-3 1.166516+5 3.162278-3 1.131795+5 3.235937-3 1.065472+5 3.349654-3 9.728184+4 3.427678-3 9.156245+4 3.467369-3 8.883217+4 3.507519-3 8.618555+4 3.548134-3 8.360624+4 3.589219-3 8.108049+4 3.672823-3 7.624011+4 3.715352-3 7.393214+4 3.801894-3 6.952639+4 3.845918-3 6.742356+4 3.935501-3 6.341005+4 4.027170-3 5.964214+4 4.073803-3 5.784527+4 4.120975-3 5.609745+4 4.216965-3 5.271922+4 4.265795-3 5.110915+4 4.365158-3 4.803626+4 4.466836-3 4.514959+4 4.518559-3 4.377378+4 4.570882-3 4.244104+4 4.623810-3 4.114996+4 4.677351-3 3.988757+4 4.786301-3 3.746399+4 4.841724-3 3.630947+4 4.954502-3 3.410705+4 5.128614-3 3.105682+4 5.188000-3 3.010293+4 5.300000-3 2.841231+4 5.308844-3 2.828357+4 5.432503-3 2.656553+4 5.495409-3 2.573798+4 5.623413-3 2.416020+4 5.821032-3 2.197699+4 5.888437-3 2.129528+4 6.025596-3 1.999640+4 6.165950-3 1.877791+4 6.237348-3 1.819345+4 6.309573-3 1.762714+4 6.382635-3 1.707549+4 6.606934-3 1.551912+4 6.683439-3 1.503343+4 6.760830-3 1.456336+4 7.000000-3 1.323374+4 7.079458-3 1.282676+4 7.328245-3 1.165742+4 7.498942-3 1.093298+4 7.673615-3 1.025481+4 7.762471-3 9.932120+3 8.035261-3 9.025376+3 8.317638-3 8.196632+3 8.413951-3 7.937722+3 8.511380-3 7.686559+3 8.609938-3 7.442343+3 8.810489-3 6.977543+3 9.225714-3 6.135442+3 9.332543-3 5.941612+3 9.549926-3 5.569575+3 9.660509-3 5.392545+3 9.772372-3 5.221094+3 9.800000-3 5.179911+3 9.885531-3 5.054921+3 1.011579-2 4.737139+3 1.023293-2 4.585999+3 1.059254-2 4.161657+3 1.071519-2 4.029281+3 1.083927-2 3.901220+3 1.096478-2 3.776283+3 1.122018-2 3.538487+3 1.150000-2 3.300763+3 1.174898-2 3.106221+3 1.182900-2 3.047053+3 1.182900-2 2.228342+4 1.202264-2 2.143934+4 1.203000-2 2.140817+4 1.216186-2 2.082302+4 1.258925-2 1.907311+4 1.273503-2 1.850851+4 1.303167-2 1.742916+4 1.318257-2 1.691344+4 1.330000-2 1.652659+4 1.350000-2 1.590274+4 1.364583-2 1.546802+4 1.412538-2 1.414983+4 1.445440-2 1.333435+4 1.450000-2 1.322654+4 1.479108-2 1.254359+4 1.513561-2 1.179556+4 1.531087-2 1.143852+4 1.584893-2 1.043098+4 1.603245-2 1.011526+4 1.640590-2 9.512029+3 1.737801-2 8.157197+3 1.757924-2 7.910092+3 1.798871-2 7.438205+3 1.840772-2 6.994490+3 1.862087-2 6.782698+3 1.883649-2 6.572278+3 1.905461-2 6.368359+3 1.927525-2 6.170722+3 2.041738-2 5.271035+3 2.065380-2 5.107340+3 2.113489-2 4.795086+3 2.213095-2 4.226742+3 2.264644-2 3.968425+3 2.290868-2 3.845236+3 2.344229-2 3.610179+3 2.400000-2 3.380577+3 2.426610-2 3.277881+3 2.483133-2 3.073397+3 2.600160-2 2.701927+3 2.630268-2 2.616316+3 2.660725-2 2.533424+3 2.691535-2 2.453163+3 2.754229-2 2.300201+3 2.818383-2 2.156748+3 2.884032-2 2.022102+3 2.917427-2 1.957973+3 3.054921-2 1.717287+3 3.162278-2 1.556429+3 3.235937-2 1.457668+3 3.349654-2 1.321170+3 3.388442-2 1.278529+3 3.427678-2 1.237256+3 3.467369-2 1.197317+3 3.548134-2 1.121261+3 3.630781-2 1.050043+3 3.672823-2 1.015669+3 3.715352-2 9.824208+2 3.890451-2 8.599790+2 3.935501-2 8.318351+2 4.120975-2 7.280819+2 4.216965-2 6.811633+2 4.315191-2 6.372671+2 4.365158-2 6.163930+2 4.466836-2 5.766737+2 4.500000-2 5.644660+2 4.677351-2 5.040463+2 4.897788-2 4.403938+2 4.954502-2 4.257800+2 5.069907-2 3.979879+2 5.128614-2 3.847805+2 5.432503-2 3.250405+2 5.495409-2 3.142563+2 5.559043-2 3.038297+2 5.623413-2 2.936421+2 6.000000-2 2.422964+2 6.025596-2 2.392572+2 6.237348-2 2.159679+2 6.606934-2 1.820840+2 6.839116-2 1.643641+2 7.000000-2 1.534073+2 7.413102-2 1.292035+2 7.498942-2 1.248246+2 7.585776-2 1.205943+2 7.762471-2 1.125592+2 8.035261-2 1.014997+2 8.511380-2 8.543049+1 9.015711-2 7.189608+1 9.120108-2 6.945840+1 9.225714-2 6.710342+1 9.440609-2 6.260284+1 9.549926-2 6.046688+1 1.000000-1 5.262779+1 1.023293-1 4.909821+1 1.071519-1 4.273410+1 1.083927-1 4.127641+1 1.109175-1 3.850866+1 1.174898-1 3.237192+1 1.216186-1 2.917028+1 1.230269-1 2.817505+1 1.244515-1 2.721381+1 1.273503-1 2.538869+1 1.333521-1 2.209780+1 1.396368-1 1.923361+1 1.412538-1 1.857756+1 1.428894-1 1.794397+1 1.462177-1 1.674088+1 1.496236-1 1.561847+1 1.513561-1 1.508585+1 1.566751-1 1.359460+1 1.584893-1 1.313104+1 1.621810-1 1.225081+1 1.659587-1 1.142961+1 1.717908-1 1.029995+1 1.737801-1 9.948772+0 1.757924-1 9.612840+0 1.840772-1 8.378919+0 1.862087-1 8.096266+0 1.927525-1 7.304256+0 1.949845-1 7.057875+0 1.972423-1 6.819813+0 1.995262-1 6.589789+0 2.000000-1 6.543373+0 2.065380-1 5.945290+0 2.113489-1 5.551046+0 2.162719-1 5.182948+0 2.213095-1 4.839268+0 2.238721-1 4.676084+0 2.290868-1 4.369887+0 2.317395-1 4.224395+0 2.344229-1 4.083762+0 2.371374-1 3.948004+0 2.398833-1 3.816762+0 2.511886-1 3.334001+0 2.570396-1 3.116041+0 2.600160-1 3.012465+0 2.630268-1 2.912345+0 2.722701-1 2.635484+0 2.754229-1 2.549173+0 2.786121-1 2.465835+0 2.818383-1 2.385221+0 2.851018-1 2.307249+0 2.884032-1 2.231823+0 2.917427-1 2.158873+0 3.019952-1 1.954020+0 3.054921-1 1.891158+0 3.090295-1 1.830318+0 3.162278-1 1.714448+0 3.198895-1 1.659303+0 3.273407-1 1.554476+0 3.388442-1 1.409524+0 3.427678-1 1.364277+0 3.467369-1 1.321273+0 3.507519-1 1.279629+0 3.548134-1 1.239300+0 3.630781-1 1.162415+0 3.715352-1 1.090453+0 3.801894-1 1.022946+0 3.845918-1 9.907800-1 3.890451-1 9.602346-1 4.027170-1 8.741382-1 4.073803-1 8.471904-1 4.168694-1 7.958794-1 4.216965-1 7.714038-1 4.265795-1 7.476810-1 4.466836-1 6.616101-1 4.518559-1 6.416884-1 4.570882-1 6.224080-1 4.623810-1 6.037164-1 4.677351-1 5.855860-1 4.731513-1 5.679999-1 4.841724-1 5.351507-1 4.954502-1 5.042019-1 5.000000-1 4.924176-1 5.011872-1 4.894059-1 5.069907-1 4.750781-1 5.188000-1 4.476800-1 5.248075-1 4.345792-1 5.308844-1 4.221797-1 5.432503-1 3.984317-1 5.495409-1 3.870645-1 5.559043-1 3.760218-1 5.623413-1 3.653202-1 5.688529-1 3.549274-1 5.754399-1 3.448305-1 5.821032-1 3.350208-1 5.888437-1 3.257388-1 6.025596-1 3.079412-1 6.095369-1 2.994106-1 6.165950-1 2.911374-1 6.237348-1 2.830965-1 6.382635-1 2.676748-1 6.456542-1 2.604836-1 6.606935-1 2.466754-1 6.683439-1 2.400484-1 6.760830-1 2.336161-1 6.839117-1 2.273591-1 6.918310-1 2.212696-1 6.998420-1 2.153439-1 7.244360-1 1.990534-1 7.328245-1 1.939021-1 7.413102-1 1.888984-1 7.498942-1 1.840262-1 7.673615-1 1.746565-1 7.852356-1 1.660271-1 7.943282-1 1.618737-1 8.035261-1 1.578242-1 8.128305-1 1.538760-1 8.222427-1 1.500380-1 8.413951-1 1.426507-1 8.511380-1 1.390946-1 8.609938-1 1.357113-1 8.912509-1 1.260477-1 9.015711-1 1.229921-1 9.225714-1 1.171049-1 9.332543-1 1.142678-1 9.440609-1 1.114995-1 9.549926-1 1.088948-1 9.660509-1 1.063513-1 9.772372-1 1.038761-1 9.885531-1 1.014598-1 1.000000+0 9.910018-2 1.011579+0 9.679548-2 1.023293+0 9.454425-2 1.035142+0 9.239968-2 1.047129+0 9.030361-2 1.059254+0 8.825543-2 1.083927+0 8.429735-2 1.096478+0 8.238991-2 1.109175+0 8.052554-2 1.122018+0 7.870448-2 1.148154+0 7.518506-2 1.161449+0 7.354593-2 1.174898+0 7.194256-2 1.188600+0 7.036328-2 1.202264+0 6.884037-2 1.216186+0 6.734433-2 1.230269+0 6.588082-2 1.244515+0 6.445003-2 1.250000+0 6.391175-2 1.258925+0 6.307502-2 1.303167+0 5.916630-2 1.318257+0 5.791803-2 1.333521+0 5.669614-2 1.348963+0 5.550352-2 1.364583+0 5.433617-2 1.380384+0 5.319398-2 1.396368+0 5.207587-2 1.412538+0 5.098120-2 1.428894+0 4.994245-2 1.445440+0 4.892482-2 1.479108+0 4.695144-2 1.513561+0 4.506333-2 1.531087+0 4.414803-2 1.584893+0 4.151347-2 1.659587+0 3.835104-2 1.698244+0 3.686629-2 1.717908+0 3.614612-2 1.778279+0 3.406897-2 1.798871+0 3.342660-2 1.840772+0 3.217798-2 1.862087+0 3.157338-2 1.883649+0 3.098014-2 1.905461+0 3.039846-2 1.972423+0 2.871830-2 2.044000+0 2.713844-2 2.065380+0 2.669527-2 2.089296+0 2.621337-2 2.113489+0 2.574021-2 2.137962+0 2.527585-2 2.264644+0 2.307676-2 2.344229+0 2.188684-2 2.371374+0 2.150515-2 2.398833+0 2.113013-2 2.426610+0 2.076169-2 2.454709+0 2.039987-2 2.600160+0 1.868321-2 2.691535+0 1.775317-2 2.722701+0 1.745448-2 2.754229+0 1.716081-2 2.786121+0 1.687213-2 2.818383+0 1.658846-2 3.000000+0 1.513087-2 3.054921+0 1.474608-2 3.090295+0 1.450781-2 3.126079+0 1.427338-2 3.162278+0 1.404276-2 3.198895+0 1.381602-2 3.467369+0 1.232807-2 3.548134+0 1.194559-2 3.589219+0 1.175942-2 3.630781+0 1.157615-2 3.672823+0 1.139576-2 3.715352+0 1.121828-2 4.073803+0 9.894446-3 4.168694+0 9.597679-3 4.216965+0 9.453083-3 4.265795+0 9.310666-3 4.315191+0 9.170407-3 4.365158+0 9.032345-3 4.786301+0 8.000091-3 4.897788+0 7.767916-3 4.954502+0 7.654696-3 5.011872+0 7.543128-3 5.069907+0 7.433185-3 5.128614+0 7.324856-3 5.188000+0 7.218168-3 5.688529+0 6.418743-3 5.821032+0 6.238409-3 5.956621+0 6.063641-3 6.025596+0 5.978100-3 6.095369+0 5.893768-3 6.165950+0 5.810633-3 6.237348+0 5.728716-3 6.918310+0 5.041518-3 7.079458+0 4.904204-3 7.244360+0 4.770991-3 7.328245+0 4.705747-3 7.413102+0 4.641397-3 7.498942+0 4.577931-3 7.673615+0 4.453654-3 8.511380+0 3.934861-3 8.709636+0 3.830701-3 9.015711+0 3.679986-3 9.120108+0 3.631077-3 9.225714+0 3.582818-3 9.332543+0 3.535205-3 9.549926+0 3.441911-3 1.071519+1 3.011103-3 1.100000+1 2.923013-3 1.135011+1 2.821424-3 1.148154+1 2.784989-3 1.161449+1 2.749025-3 1.174898+1 2.713528-3 1.202264+1 2.643938-3 1.364583+1 2.291884-3 1.380384+1 2.262304-3 1.412538+1 2.205551-3 1.462177+1 2.123254-3 1.479108+1 2.096510-3 1.513561+1 2.044028-3 1.531087+1 2.018283-3 1.600000+1 1.922830-3 1.778279+1 1.711793-3 1.800000+1 1.689074-3 1.840772+1 1.648656-3 1.862087+1 1.628294-3 1.972423+1 1.530197-3 2.018366+1 1.492634-3 2.089296+1 1.438010-3 2.137962+1 1.402712-3 2.213095+1 1.351403-3 2.400000+1 1.238214-3 2.426610+1 1.223571-3 2.483133+1 1.194108-3 2.511886+1 1.179669-3 2.722701+1 1.083370-3 2.786121+1 1.057329-3 2.800000+1 1.051792-3 2.985383+1 9.829022-4 3.126079+1 9.362210-4 3.162278+1 9.249045-4 3.349654+1 8.703437-4 3.548134+1 8.190012-4 3.589219+1 8.091021-4 3.630781+1 7.994815-4 3.890451+1 7.441999-4 3.981072+1 7.266354-4 4.027170+1 7.180095-4 4.518559+1 6.371851-4 4.841724+1 5.931276-4 4.897788+1 5.860884-4 4.954502+1 5.791327-4 5.308844+1 5.390997-4 5.688529+1 5.018340-4 5.754399+1 4.958784-4 5.821032+1 4.900677-4 6.237348+1 4.566459-4 6.531306+1 4.356408-4 7.762471+1 3.651216-4 8.413951+1 3.362403-4 8.609938+1 3.284176-4 9.225714+1 3.060254-4 9.885531+1 2.851600-4 1.011579+2 2.785261-4 1.023293+2 2.752986-4 1.122018+2 2.507906-4 1.216186+2 2.311425-4 1.548817+2 1.809615-4 1.678804+2 1.667846-4 1.717908+2 1.629424-4 1.840772+2 1.519387-4 1.972423+2 1.416781-4 2.018366+2 1.384143-4 2.041738+2 1.368196-4 2.238721+2 1.247056-4 2.426610+2 1.149890-4 3.090295+2 9.015044-5 3.349654+2 8.312637-5 3.427678+2 8.122206-5 3.672823+2 7.576701-5 3.935501+2 7.067833-5 4.027170+2 6.905923-5 4.073803+2 6.826726-5 4.466836+2 6.224994-5 9.660509+2 2.874240-5 1.230269+3 2.255953-5 1.333521+3 2.080972-5 1.364583+3 2.033519-5 2.917427+3 9.498590-6 3.126079+3 8.863508-6 3.198895+3 8.661394-6 3.235937+3 8.562229-6 3.548134+3 7.808721-6 1.000000+5 2.769024-7 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 7.810000-6 7.810000-6 8.120000-6 7.810000-6 8.120000-6 7.913555-6 1.786000-5 7.922243-6 1.786000-5 8.137276-6 1.970000-5 8.010180-6 2.113489-5 7.952603-6 2.281000-5 7.937397-6 2.442000-5 7.981269-6 2.595000-5 8.080761-6 2.740000-5 8.228766-6 2.885000-5 8.428575-6 3.040000-5 8.696430-6 3.235937-5 9.105903-6 3.470000-5 9.673770-6 4.120975-5 1.138929-5 4.315191-5 1.186354-5 4.518559-5 1.231318-5 4.677351-5 1.263130-5 4.850000-5 1.294068-5 5.055000-5 1.325638-5 5.055000-5 2.371918-5 5.132000-5 2.376723-5 5.132000-5 2.523286-5 5.559043-5 2.566621-5 6.400000-5 2.696030-5 6.850000-5 2.745212-5 7.328245-5 2.776418-5 8.080000-5 2.800823-5 9.660509-5 2.819367-5 1.350000-4 2.831677-5 1.437800-4 2.832405-5 1.437800-4 2.939242-5 1.489500-4 2.946368-5 1.489500-4 2.984018-5 1.883649-4 3.089222-5 2.020200-4 3.130306-5 2.020200-4 3.260180-5 2.350000-4 3.380588-5 2.917427-4 3.542995-5 3.630781-4 3.714205-5 4.365158-4 3.863273-5 5.370318-4 4.034772-5 6.309573-4 4.169573-5 7.413102-4 4.303184-5 8.609938-4 4.424746-5 1.035142-3 4.568357-5 1.244515-3 4.704719-5 1.328300-3 4.750633-5 1.328300-3 6.966333-5 1.335900-3 7.032252-5 1.342000-3 7.063643-5 1.365700-3 7.115527-5 1.365700-3 7.214915-5 1.369350-3 7.300008-5 1.373300-3 7.338821-5 1.396368-3 7.365128-5 1.519200-3 7.382183-5 1.519200-3 7.833328-5 1.757924-3 7.915888-5 2.691535-3 8.148854-5 3.845918-3 8.368326-5 5.308844-3 8.583750-5 7.328245-3 8.806989-5 9.885531-3 9.017004-5 1.182900-2 9.140517-5 1.182900-2 1.107463-4 2.065380-2 1.115187-4 4.500000-2 1.121074-4 1.566751-1 1.124899-4 5.188000+0 1.126232-4 1.000000+5 1.126226-4 1 33000 7 7 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.810000-6 0.0 5.132000-5 0.0 5.132000-5 2.27737-10 5.240000-5 2.32596-10 5.330000-5 2.35441-10 5.400000-5 2.36894-10 5.630000-5 2.39160-10 5.850000-5 2.42962-10 6.110000-5 2.49014-10 6.531306-5 2.60019-10 6.918310-5 2.68809-10 7.079458-5 2.72011-10 7.413102-5 2.77259-10 7.673615-5 2.80530-10 8.035261-5 2.83956-10 8.511380-5 2.87255-10 9.332543-5 2.90684-10 1.047129-4 2.93581-10 1.202264-4 2.95933-10 1.437800-4 2.98315-10 1.437800-4 4.77701-10 1.489500-4 4.89442-10 1.489500-4 5.60989-10 1.580000-4 6.04292-10 1.720000-4 6.64248-10 1.820000-4 7.13177-10 2.020200-4 8.19639-10 2.020200-4 9.75013-10 2.187762-4 1.078491-9 2.290868-4 1.138374-9 2.398833-4 1.196752-9 2.630268-4 1.312315-9 2.800000-4 1.392024-9 2.951209-4 1.459972-9 3.235937-4 1.579519-9 3.589219-4 1.716584-9 3.935501-4 1.841052-9 4.365158-4 1.981279-9 4.897788-4 2.138683-9 5.370318-4 2.265850-9 5.888437-4 2.392430-9 6.531306-4 2.533943-9 7.244360-4 2.674291-9 7.852356-4 2.780956-9 8.609938-4 2.900381-9 9.772372-4 3.058375-9 1.109175-3 3.208610-9 1.244515-3 3.337680-9 1.328300-3 3.407390-9 1.328300-3 1.380136-5 1.331600-3 1.400593-5 1.335900-3 1.420567-5 1.342000-3 1.439673-5 1.353000-3 1.457471-5 1.365700-3 1.470366-5 1.365700-3 1.544542-5 1.367850-3 1.585981-5 1.369700-3 1.611392-5 1.371500-3 1.626799-5 1.373300-3 1.635725-5 1.376500-3 1.641872-5 1.385000-3 1.648636-5 1.412538-3 1.655830-5 1.519200-3 1.658960-5 1.519200-3 1.686376-5 2.600160-3 1.687015-5 8.317638-3 1.663546-5 1.182900-2 1.655237-5 1.182900-2 5.238707-3 1.531087-2 5.291788-3 2.113489-2 5.334383-3 3.349654-2 5.371640-3 6.025596-2 5.395466-3 2.000000-1 5.407782-3 1.216186+2 5.412135-3 1.000000+5 5.412158-3 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.810000-6 0.0 8.120000-6 3.100000-7 8.120000-6 2.064451-7 1.610000-5 8.178251-6 1.786000-5 9.937757-6 1.786000-5 9.722724-6 2.000000-5 1.200508-5 2.227000-5 1.433419-5 2.442000-5 1.643873-5 2.680000-5 1.863884-5 2.935000-5 2.084092-5 3.162278-5 2.267923-5 3.470000-5 2.502623-5 4.168694-5 3.017694-5 4.650000-5 3.392043-5 5.055000-5 3.729362-5 5.055000-5 2.683082-5 5.132000-5 2.755277-5 5.132000-5 2.608691-5 5.559043-5 2.992398-5 6.400000-5 3.703945-5 6.918310-5 4.167509-5 7.673615-5 4.883375-5 9.332543-5 6.515548-5 1.437800-4 1.154556-4 1.437800-4 1.143871-4 1.489500-4 1.194858-4 1.489500-4 1.191093-4 2.020200-4 1.707161-4 2.020200-4 1.694172-4 3.054921-4 2.697086-4 5.754399-4 5.345082-4 1.273503-3 1.226290-3 1.328300-3 1.280790-3 1.328300-3 1.244835-3 1.365700-3 1.279841-3 1.365700-3 1.278105-3 1.385000-3 1.294932-3 1.519200-3 1.428789-3 1.519200-3 1.424003-3 1.182900-2 1.172104-2 1.182900-2 6.479546-3 1.640590-2 1.099271-2 3.672823-2 3.123850-2 1.000000+5 9.999999+4 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.182900-2 1.923637+4 1.203000-2 1.850304+4 1.258925-2 1.651799+4 1.330000-2 1.434076+4 1.450000-2 1.151702+4 1.862087-2 5.947438+3 2.344229-2 3.180534+3 2.917427-2 1.730759+3 3.630781-2 9.305174+2 4.500000-2 5.011100+2 5.559043-2 2.700682+2 7.000000-2 1.364980+2 9.225714-2 5.975622+1 1.737801-1 8.865030+0 2.238721-1 4.167083+0 2.630268-1 2.595422+0 3.019952-1 1.741405+0 3.427678-1 1.215871+0 3.845918-1 8.830353-1 4.265795-1 6.664106-1 4.731513-1 5.062832-1 5.248075-1 3.873712-1 5.821032-1 2.986423-1 6.382635-1 2.386150-1 6.998420-1 1.919743-1 7.673615-1 1.557342-1 8.511380-1 1.240613-1 9.440609-1 9.944985-2 1.023293+0 8.431907-2 1.148154+0 6.704576-2 1.250000+0 5.699892-2 1.412538+0 4.546922-2 1.584893+0 3.702393-2 1.778279+0 3.038507-2 1.972423+0 2.561270-2 2.264644+0 2.058129-2 2.600160+0 1.666286-2 3.000000+0 1.349500-2 3.467369+0 1.099519-2 4.073803+0 8.824722-3 4.786301+0 7.135176-3 5.688529+0 5.724807-3 6.918310+0 4.496483-3 8.511380+0 3.509482-3 1.071519+1 2.685569-3 1.380384+1 2.017734-3 1.800000+1 1.506500-3 2.426610+1 1.091298-3 3.589219+1 7.216468-4 5.754399+1 4.422813-4 1.011579+2 2.484250-4 2.018366+2 1.234562-4 4.027170+2 6.159591-5 3.198895+3 7.725361-6 1.000000+5 2.469800-7 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.182900-2 1.138100-4 1.000000+5 1.138100-4 1 33000 7 7 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.182900-2 6.065900-3 1.000000+5 6.065900-3 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.182900-2 5.649290-3 1.000000+5 9.999999+4 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.519200-3 8.497586+4 1.630000-3 7.837420+4 1.698244-3 7.374332+4 1.850000-3 6.433420+4 2.162719-3 4.990864+4 2.540973-3 3.790883+4 2.800000-3 3.182380+4 3.235937-3 2.436139+4 3.589219-3 1.996669+4 4.120975-3 1.520780+4 4.623810-3 1.203310+4 5.300000-3 9.054580+3 6.165950-3 6.542542+3 7.000000-3 4.946940+3 8.035261-3 3.625532+3 9.332543-3 2.566420+3 1.083927-2 1.801856+3 1.258925-2 1.255097+3 1.479108-2 8.431254+2 1.737801-2 5.615896+2 2.041738-2 3.710133+2 2.400000-2 2.428740+2 2.818383-2 1.582104+2 3.349654-2 9.900677+1 3.935501-2 6.347669+1 4.677351-2 3.914937+1 5.623413-2 2.320588+1 6.839116-2 1.321284+1 8.511380-2 6.985157+0 1.109175-1 3.201936+0 1.840772-1 7.137426-1 2.344229-1 3.508220-1 2.754229-1 2.200077-1 3.198895-1 1.437143-1 3.630781-1 1.009376-1 4.073803-1 7.370825-2 4.518559-1 5.589944-2 5.011872-1 4.268926-2 5.559043-1 3.283528-2 6.095369-1 2.617243-2 6.683439-1 2.100095-2 7.328245-1 1.696142-2 8.128305-1 1.344246-2 8.912509-1 1.100674-2 9.660509-1 9.300305-3 1.083927+0 7.382308-3 1.202264+0 6.030083-3 1.333521+0 4.960204-3 1.479108+0 4.107291-3 1.659587+0 3.354747-3 1.840772+0 2.815333-3 2.044000+0 2.374508-3 2.344229+0 1.915166-3 2.691535+0 1.553384-3 3.054921+0 1.290595-3 3.548134+0 1.045428-3 4.168694+0 8.399989-4 4.897788+0 6.798614-4 5.821032+0 5.459927-4 7.079458+0 4.292415-4 8.709636+0 3.352890-4 1.100000+1 2.558400-4 1.412538+1 1.930679-4 1.840772+1 1.443097-4 2.483133+1 1.045321-4 3.630781+1 6.999258-5 5.821032+1 4.290461-5 1.011579+2 2.438589-5 2.018366+2 1.211873-5 4.027170+2 6.046558-6 3.198895+3 7.583451-7 1.000000+5 2.424400-8 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.519200-3 1.116100-4 1.000000+5 1.116100-4 1 33000 7 7 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.519200-3 1.888600-5 1.000000+5 1.888600-5 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.519200-3 1.388704-3 1.000000+5 1.000000+5 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.365700-3 7.647000+4 1.365820-3 7.827700+4 1.366100-3 8.531100+4 1.366400-3 9.282000+4 1.366700-3 1.002500+5 1.367000-3 1.075700+5 1.367300-3 1.147200+5 1.367600-3 1.216300+5 1.367850-3 1.272500+5 1.368200-3 1.347900+5 1.368500-3 1.409100+5 1.368900-3 1.486000+5 1.369350-3 1.566000+5 1.369700-3 1.623200+5 1.370200-3 1.697100+5 1.370650-3 1.755900+5 1.371000-3 1.796900+5 1.371500-3 1.848600+5 1.372200-3 1.908900+5 1.373000-3 1.962700+5 1.373300-3 1.979200+5 1.376500-3 2.056054+5 1.381500-3 2.095858+5 1.385000-3 2.111295+5 1.393000-3 2.124863+5 1.404000-3 2.123073+5 1.412538-3 2.113185+5 1.419000-3 2.093945+5 1.430000-3 2.074900+5 1.445000-3 2.030600+5 1.470000-3 1.952200+5 1.500000-3 1.869200+5 1.531087-3 1.775700+5 1.905461-3 1.011900+5 2.113489-3 7.714300+4 2.300000-3 6.149700+4 2.754229-3 3.742800+4 3.054921-3 2.791400+4 3.507519-3 1.876600+4 4.073803-3 1.208600+4 4.623810-3 8.276600+3 5.432503-3 5.067300+3 6.382635-3 3.073000+3 7.328245-3 1.987300+3 8.413951-3 1.277200+3 9.800000-3 7.785900+2 1.150000-2 4.598000+2 1.350000-2 2.692500+2 1.584893-2 1.565600+2 1.883649-2 8.671100+1 2.264644-2 4.581700+1 2.754229-2 2.308400+1 3.388442-2 1.108700+1 4.365158-2 4.487300+0 9.440609-2 2.799800-1 1.174898-1 1.283100-1 1.412538-1 6.697900-2 1.659587-1 3.818782-2 1.927525-1 2.283060-2 2.213095-1 1.430592-2 2.511886-1 9.388250-3 2.818383-1 6.445164-3 3.162278-1 4.455852-3 3.507519-1 3.217543-3 3.890451-1 2.339655-3 4.265795-1 1.774675-3 4.731513-1 1.310331-3 5.248075-1 9.750615-4 5.821032-1 7.309768-4 6.382635-1 5.696033-4 6.998420-1 4.469640-4 7.673615-1 3.536919-4 8.511380-1 2.740055-4 9.440609-1 2.131772-4 9.885531-1 1.916351-4 1.047129+0 1.690077-4 1.109175+0 1.499392-4 1.174898+0 1.337852-4 1.258925+0 1.175529-4 1.380384+0 9.965646-5 1.717908+0 6.818515-5 1.905461+0 5.730231-5 2.113489+0 4.850571-5 2.426610+0 3.912676-5 2.786121+0 3.179396-5 3.162278+0 2.646418-5 3.672823+0 2.147466-5 4.315191+0 1.728284-5 5.128614+0 1.380398-5 6.165950+0 1.094920-5 7.498942+0 8.626960-6 9.332543+0 6.661892-6 1.174898+1 5.113381-6 1.531087+1 3.803659-6 2.137962+1 2.643244-6 3.126079+1 1.764141-6 4.897788+1 1.104443-6 8.609938+1 6.189415-7 1.717908+2 3.071883-7 3.427678+2 1.531510-7 1.364583+3 3.831850-8 1.000000+5 5.22260-10 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.365700-3 7.938400-5 1.000000+5 7.938400-5 1 33000 7 7 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.365700-3 2.084500-5 1.000000+5 2.084500-5 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.365700-3 1.265471-3 1.000000+5 1.000000+5 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.328300-3 3.575540+5 1.331600-3 3.755645+5 1.335900-3 3.938161+5 1.340500-3 4.074048+5 1.342000-3 4.112220+5 1.350000-3 4.214965+5 1.353000-3 4.246751+5 1.365000-3 4.313134+5 1.375000-3 4.337769+5 1.383000-3 4.335701+5 1.395000-3 4.285400+5 1.470000-3 3.804432+5 1.927525-3 1.878867+5 2.113489-3 1.469931+5 2.290868-3 1.180433+5 2.754229-3 7.059202+4 3.054921-3 5.245093+4 3.548134-3 3.391869+4 4.120975-3 2.171257+4 4.677351-3 1.479373+4 5.432503-3 9.325955+3 6.309573-3 5.830842+3 7.328245-3 3.616828+3 8.511380-3 2.226363+3 9.885531-3 1.360460+3 1.150000-2 8.211200+2 1.350000-2 4.772920+2 1.603245-2 2.646429+2 1.905461-2 1.451625+2 2.290868-2 7.587780+1 2.754229-2 3.934111+1 3.388442-2 1.863316+1 4.216965-2 8.396519+0 5.495409-2 3.173553+0 1.023293-1 3.193130-1 1.273503-1 1.432548-1 1.513561-1 7.662589-2 1.757924-1 4.486513-2 2.000000-1 2.847968-2 2.317395-1 1.713576-2 2.600160-1 1.160484-2 2.884032-1 8.230246-3 3.162278-1 6.103446-3 3.467369-1 4.555662-3 3.801894-1 3.423218-3 4.168694-1 2.590241-3 4.570882-1 1.974443-3 5.000000-1 1.527195-3 5.432503-1 1.213370-3 5.888437-1 9.768180-4 6.382635-1 7.915515-4 6.918310-1 6.457149-4 7.498942-1 5.302439-4 8.128305-1 4.383068-4 8.912509-1 3.550912-4 9.549926-1 3.051337-4 1.023293+0 2.640852-4 1.122018+0 2.194585-4 1.230269+0 1.836081-4 1.348963+0 1.546856-4 1.513561+0 1.259025-4 1.698244+0 1.030148-4 1.883649+0 8.655901-5 2.089296+0 7.323654-5 2.398833+0 5.904077-5 2.754229+0 4.794531-5 3.126079+0 3.988262-5 3.630781+0 3.234467-5 4.265795+0 2.601681-5 5.069907+0 2.076845-5 6.095369+0 1.646550-5 7.413102+0 1.296771-5 9.225714+0 1.000996-5 1.161449+1 7.680417-6 1.513561+1 5.711394-6 2.089296+1 4.017114-6 2.985383+1 2.745760-6 4.518559+1 1.780017-6 7.762471+1 1.019951-6 1.548817+2 5.056853-7 3.090295+2 2.519972-7 1.230269+3 6.302198-8 1.000000+5 7.74270-10 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.328300-3 7.796000-5 1.000000+5 7.796000-5 1 33000 7 7 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.328300-3 1.896800-5 1.000000+5 1.896800-5 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.328300-3 1.231372-3 1.000000+5 1.000000+5 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.020200-4 2.116368+5 2.162719-4 2.181184+5 2.230000-4 2.199100+5 2.290868-4 2.199032+5 2.350000-4 2.183280+5 2.426610-4 2.145585+5 2.540973-4 2.071945+5 2.917427-4 1.850400+5 3.126079-4 1.745469+5 3.311311-4 1.651903+5 3.589219-4 1.515508+5 4.120975-4 1.294893+5 4.500000-4 1.163494+5 5.011872-4 1.011105+5 5.688529-4 8.511243+4 6.309573-4 7.341250+4 7.300000-4 5.907520+4 8.222426-4 4.913203+4 9.549926-4 3.863287+4 1.083927-3 3.130438+4 1.244515-3 2.472497+4 1.462177-3 1.861229+4 1.698244-3 1.418484+4 1.972423-3 1.073116+4 2.300000-3 7.998420+3 2.691535-3 5.876008+3 3.162278-3 4.249822+3 3.715352-3 3.050455+3 4.365158-3 2.173091+3 5.128614-3 1.536527+3 6.025596-3 1.078265+3 7.079458-3 7.508698+2 8.317638-3 5.186933+2 9.660509-3 3.652703+2 1.122018-2 2.553976+2 1.318257-2 1.724268+2 1.531087-2 1.188811+2 1.798871-2 7.903876+1 2.113489-2 5.214924+1 2.483133-2 3.415565+1 2.917427-2 2.221143+1 3.467369-2 1.389739+1 4.120975-2 8.630034+0 4.954502-2 5.151597+0 6.000000-2 2.986880+0 7.413102-2 1.622723+0 9.440609-2 8.013685-1 1.840772-1 1.113485-1 2.344229-1 5.479217-2 2.754229-1 3.438181-2 3.198895-1 2.246833-2 3.630781-1 1.578537-2 4.073803-1 1.153009-2 4.570882-1 8.485269-3 5.069907-1 6.484750-3 5.623413-1 4.992678-3 6.165950-1 3.983241-3 6.760830-1 3.198806-3 7.413102-1 2.585755-3 8.222427-1 2.051134-3 9.015711-1 1.681103-3 9.772372-1 1.421742-3 1.109175+0 1.103991-3 1.230269+0 9.031565-4 1.364583+0 7.440234-4 1.531087+0 6.044673-4 1.698244+0 5.046635-4 1.883649+0 4.241485-4 2.113489+0 3.524302-4 2.426610+0 2.842922-4 2.786121+0 2.310010-4 3.162278+0 1.922706-4 3.672823+0 1.560209-4 4.315191+0 1.255652-4 5.128614+0 1.002900-4 6.165950+0 7.955146-5 7.498942+0 6.267912-5 9.332543+0 4.840159-5 1.174898+1 3.715112-5 1.531087+1 2.763529-5 2.137962+1 1.920436-5 3.126079+1 1.281786-5 4.841724+1 8.120569-6 8.413951+1 4.603730-6 1.678804+2 2.284404-6 3.349654+2 1.138819-6 1.333521+3 2.848986-7 1.000000+5 3.794500-9 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.020200-4 6.622500-5 1.000000+5 6.622500-5 1 33000 7 7 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.020200-4 4.997500-9 1.000000+5 4.997500-9 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.020200-4 1.357900-4 1.000000+5 1.000000+5 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.489500-4 1.108302+5 1.530000-4 1.245752+5 1.545000-4 1.292506+5 1.560800-4 1.335921+5 1.580000-4 1.380438+5 1.603245-4 1.424502+5 1.635000-4 1.473350+5 1.690000-4 1.544240+5 1.950000-4 1.877164+5 2.020000-4 1.958844+5 2.089296-4 2.027578+5 2.162719-4 2.086091+5 2.238721-4 2.132476+5 2.330000-4 2.172600+5 2.426610-4 2.200881+5 2.540973-4 2.219965+5 2.660725-4 2.225194+5 2.786121-4 2.215134+5 2.917427-4 2.189804+5 3.054921-4 2.150662+5 3.200000-4 2.099680+5 3.388442-4 2.024903+5 3.630781-4 1.922892+5 3.850000-4 1.829118+5 4.100000-4 1.721852+5 4.365158-4 1.609628+5 4.731513-4 1.463772+5 5.150000-4 1.314520+5 5.559043-4 1.184162+5 6.025596-4 1.052216+5 6.606934-4 9.123142+4 7.161434-4 8.000129+4 7.852356-4 6.830870+4 8.609938-4 5.789929+4 9.440609-4 4.874245+4 1.035142-3 4.073827+4 1.150000-3 3.294480+4 1.273503-3 2.659595+4 1.412538-3 2.124640+4 1.570000-3 1.676768+4 1.757924-3 1.291245+4 1.972423-3 9.814757+3 2.187762-3 7.615893+3 2.426610-3 5.874374+3 2.722701-3 4.371571+3 3.054921-3 3.230850+3 3.427678-3 2.371898+3 3.845918-3 1.730370+3 4.365158-3 1.214478+3 4.954502-3 8.462068+2 5.623413-3 5.854033+2 6.382635-3 4.021909+2 7.328245-3 2.649964+2 8.317638-3 1.795166+2 9.549926-3 1.165184+2 1.096478-2 7.509005+1 1.273503-2 4.628635+1 1.479108-2 2.831686+1 1.737801-2 1.655347+1 2.041738-2 9.605155+0 2.426610-2 5.320441+0 2.917427-2 2.811511+0 3.548134-2 1.416667+0 4.466836-2 6.274289-1 6.237348-2 1.907244-1 9.549926-2 4.164536-2 1.216186-1 1.766692-2 1.462177-1 9.257199-3 1.717908-1 5.296233-3 1.995262-1 3.177215-3 2.290868-1 1.997511-3 2.600160-1 1.315108-3 2.917427-1 9.056370-4 3.273407-1 6.282674-4 3.630781-1 4.551487-4 4.027170-1 3.320028-4 4.466836-1 2.439753-4 4.954502-1 1.806372-4 5.495409-1 1.347722-4 6.025596-1 1.045997-4 6.606935-1 8.177080-5 7.244360-1 6.436951-5 8.413951-1 4.414060-5 9.015711-1 3.728468-5 9.549926-1 3.259011-5 1.011579+0 2.868268-5 1.083927+0 2.480239-5 1.161449+0 2.160331-5 1.244515+0 1.896839-5 1.380384+0 1.572364-5 1.659587+0 1.138768-5 1.862087+0 9.371190-6 2.065380+0 7.921545-6 2.371374+0 6.382121-6 2.722701+0 5.179615-6 3.090295+0 4.305925-6 3.589219+0 3.490000-6 4.216965+0 2.805715-6 5.011872+0 2.238565-6 6.025596+0 1.773894-6 7.328245+0 1.396508-6 9.120108+0 1.077465-6 1.148154+1 8.264282-7 1.479108+1 6.222352-7 2.018366+1 4.428407-7 2.786121+1 3.137693-7 3.981072+1 2.156522-7 6.531306+1 1.292832-7 1.216186+2 6.860348-8 2.426610+2 3.413915-8 9.660509+2 8.528025-9 1.000000+5 8.22320-11 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.489500-4 5.382500-5 1.000000+5 5.382500-5 1 33000 7 7 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.489500-4 5.118900-9 1.000000+5 5.118900-9 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.489500-4 9.511988-5 1.000000+5 1.000000+5 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.437800-4 3.094089+5 1.720000-4 3.797430+5 1.737801-4 3.857820+5 1.883649-4 4.250525+5 1.950000-4 4.409240+5 2.020000-4 4.549440+5 2.089296-4 4.657916+5 2.162719-4 4.742374+5 2.260000-4 4.814960+5 2.371374-4 4.857692+5 2.500000-4 4.868720+5 2.630268-4 4.844573+5 2.770000-4 4.782920+5 2.917427-4 4.683510+5 3.054921-4 4.567489+5 3.235937-4 4.395629+5 3.467369-4 4.165250+5 3.715352-4 3.917707+5 3.935501-4 3.700202+5 4.216965-4 3.429692+5 4.518559-4 3.156388+5 4.897788-4 2.845009+5 5.308844-4 2.546449+5 5.754399-4 2.261981+5 6.237348-4 1.994822+5 6.839116-4 1.716294+5 7.413102-4 1.494844+5 8.200000-4 1.246812+5 9.015711-4 1.043858+5 9.885531-4 8.721192+4 1.096478-3 7.070401+4 1.202264-3 5.829552+4 1.333521-3 4.657011+4 1.462177-3 3.791801+4 1.640590-3 2.909397+4 1.840772-3 2.213489+4 2.070000-3 1.661328+4 2.317395-3 1.250989+4 2.600160-3 9.299844+3 2.951209-3 6.657133+3 3.349654-3 4.726755+3 3.801894-3 3.329546+3 4.265795-3 2.405629+3 4.841724-3 1.670740+3 5.495409-3 1.151972+3 6.237348-3 7.886292+2 7.079458-3 5.361697+2 8.035261-3 3.620571+2 9.225714-3 2.340693+2 1.059254-2 1.502134+2 1.216186-2 9.568809+1 1.412538-2 5.825120+1 1.640590-2 3.519778+1 1.927525-2 2.029992+1 2.264644-2 1.161773+1 2.691535-2 6.339111+0 3.235937-2 3.295219+0 3.935501-2 1.631153+0 4.897788-2 7.372525-1 6.606934-2 2.464052-1 1.000000-1 5.364666-2 1.244515-1 2.415013-2 1.496236-1 1.242191-2 1.737801-1 7.281421-3 1.972423-1 4.664563-3 2.238721-1 3.009186-3 2.511886-1 2.034976-3 2.786121-1 1.440834-3 3.090295-1 1.027587-3 3.388442-1 7.660252-4 3.715352-1 5.748334-4 4.073803-1 4.344117-4 4.466836-1 3.307561-4 4.841724-1 2.622486-4 5.248075-1 2.092719-4 5.688529-1 1.680868-4 6.165950-1 1.358910-4 6.683439-1 1.105928-4 7.244360-1 9.058716-5 7.852356-1 7.467549-5 8.609938-1 6.024007-5 9.225714-1 5.159656-5 9.885531-1 4.448642-5 1.083927+0 3.686097-5 1.188600+0 3.075400-5 1.303167+0 2.584885-5 1.445440+0 2.142322-5 1.659587+0 1.681044-5 1.840772+0 1.410457-5 2.044000+0 1.189500-5 2.344229+0 9.594697-6 2.691535+0 7.782123-6 3.054921+0 6.465342-6 3.548134+0 5.237086-6 4.168694+0 4.207929-6 4.897788+0 3.405722-6 5.821032+0 2.735198-6 7.079458+0 2.150301-6 8.709636+0 1.679664-6 1.100000+1 1.281600-6 1.412538+1 9.671613-7 1.862087+1 7.139047-7 2.511886+1 5.172963-7 3.630781+1 3.506285-7 5.821032+1 2.149302-7 1.023293+2 1.207403-7 2.041738+2 6.001047-8 4.073803+2 2.994228-8 3.235937+3 3.755427-9 1.000000+5 1.21450-10 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.437800-4 5.324900-5 1.000000+5 5.324900-5 1 33000 7 7 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.437800-4 4.483400-9 1.000000+5 4.483400-9 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.437800-4 9.052652-5 1.000000+5 1.000000+5 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 5.132000-5 4.528673+5 5.470000-5 4.729120+5 5.550000-5 4.797600+5 5.630000-5 4.901000+5 5.700000-5 5.022160+5 5.774200-5 5.182424+5 5.850000-5 5.380080+5 5.920000-5 5.593600+5 6.000000-5 5.873760+5 6.110000-5 6.321160+5 6.237348-5 6.927565+5 6.400000-5 7.831040+5 6.800000-5 1.054784+6 6.950000-5 1.168348+6 7.079458-5 1.268464+6 7.244360-5 1.396193+6 7.400000-5 1.514220+6 7.500000-5 1.587964+6 7.650000-5 1.694144+6 7.800000-5 1.794364+6 7.950000-5 1.887644+6 8.128305-5 1.989604+6 8.317638-5 2.087226+6 8.511380-5 2.176727+6 8.738900-5 2.269556+6 9.015711-5 2.367356+6 9.332543-5 2.462676+6 9.660509-5 2.546491+6 1.000000-4 2.620412+6 1.047129-4 2.704699+6 1.100000-4 2.776664+6 1.150000-4 2.822696+6 1.190000-4 2.843212+6 1.240000-4 2.849100+6 1.288250-4 2.836253+6 1.333521-4 2.810214+6 1.380384-4 2.771338+6 1.445440-4 2.701393+6 1.519300-4 2.606735+6 1.603245-4 2.489991+6 1.698244-4 2.354324+6 1.800000-4 2.209352+6 1.905461-4 2.060977+6 2.018366-4 1.906293+6 2.137962-4 1.749690+6 2.264644-4 1.593934+6 2.426610-4 1.413227+6 2.600160-4 1.244440+6 2.800000-4 1.078240+6 3.019952-4 9.242704+5 3.235937-4 7.971853+5 3.507519-4 6.652285+5 3.801894-4 5.513842+5 4.168694-4 4.415304+5 4.518559-4 3.609511+5 4.954502-4 2.842660+5 5.432503-4 2.222313+5 5.956621-4 1.726083+5 6.606934-4 1.287298+5 7.413102-4 9.207343+4 8.200000-4 6.811960+4 9.015711-4 5.098110+4 9.885531-4 3.828027+4 1.096478-3 2.754709+4 1.216186-3 1.969834+4 1.350000-3 1.395892+4 1.500000-3 9.798640+3 1.678804-3 6.670064+3 1.883649-3 4.467067+3 2.137962-3 2.851464+3 2.426610-3 1.806367+3 2.754229-3 1.135633+3 3.126079-3 7.087897+2 3.548134-3 4.392940+2 4.027170-3 2.703568+2 4.570882-3 1.652413+2 5.188000-3 1.003039+2 5.888437-3 6.047222+1 6.683439-3 3.620931+1 7.673615-3 2.053471+1 8.810489-3 1.155716+1 1.023293-2 6.153682+0 1.202264-2 3.098250+0 1.445440-2 1.403233+0 1.757924-2 6.000083-1 2.113489-2 2.678020-1 2.660725-2 9.686562-2 3.672823-2 2.310712-2 6.025596-2 2.539685-3 7.585776-2 9.155949-4 9.120108-2 4.076101-4 1.071519-1 2.022076-4 1.244515-1 1.062443-4 1.428894-1 5.909654-5 1.621810-1 3.476866-5 1.840772-1 2.061339-5 2.065380-1 1.290897-5 2.317395-1 8.144257-6 2.570396-1 5.417926-6 2.851018-1 3.629846-6 3.162278-1 2.449716-6 3.467369-1 1.738705-6 3.801894-1 1.242838-6 4.073803-1 9.712917-7 4.466836-1 7.045797-7 4.954502-1 4.949795-7 5.432503-1 3.634829-7 5.888437-1 2.791470-7 6.237348-1 2.325455-7 6.760830-1 1.814561-7 7.413102-1 1.377738-7 8.035261-1 1.088048-7 8.609938-1 8.825678-8 9.015711-1 7.718212-8 9.440609-1 6.791304-8 9.772372-1 6.200545-8 1.011579+0 5.689715-8 1.059254+0 5.111521-8 1.109175+0 4.626766-8 1.161449+0 4.216285-8 1.216186+0 3.865649-8 1.303167+0 3.419900-8 1.428894+0 2.927878-8 1.513561+0 2.661748-8 1.798871+0 1.977317-8 1.972423+0 1.696945-8 2.264644+0 1.363753-8 2.600160+0 1.104098-8 3.000000+0 8.940900-9 3.467369+0 7.284690-9 4.073803+0 5.846692-9 4.786301+0 4.727333-9 5.688529+0 3.792895-9 6.918310+0 2.979029-9 8.511380+0 2.325109-9 1.071519+1 1.779301-9 1.364583+1 1.354093-9 1.778279+1 1.011371-9 2.400000+1 7.31580-10 3.548134+1 4.83916-10 5.688529+1 2.96513-10 9.885531+1 1.68490-10 1.972423+2 8.37185-11 3.935501+2 4.17644-11 3.126079+3 5.23760-12 1.000000+5 1.63630-13 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 5.132000-5 2.866300-5 1.000000+5 2.866300-5 1 33000 7 7 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 5.132000-5 7.60730-10 1.000000+5 7.60730-10 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 5.132000-5 2.265624-5 1.000000+5 1.000000+5 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 5.055000-5 7.361700+5 5.150000-5 7.229400+5 5.240000-5 7.168440+5 5.330000-5 7.169820+5 5.400000-5 7.217280+5 5.480000-5 7.323360+5 5.559043-5 7.483517+5 5.623413-5 7.655657+5 5.690000-5 7.873920+5 5.774200-5 8.209043+5 5.850000-5 8.567520+5 5.950000-5 9.122640+5 6.030000-5 9.633540+5 6.150000-5 1.050762+6 6.309573-5 1.185922+6 6.683439-5 1.571442+6 6.850000-5 1.763832+6 7.000000-5 1.941654+6 7.161434-5 2.133256+6 7.300000-5 2.294688+6 7.450000-5 2.463480+6 7.585776-5 2.609147+6 7.730000-5 2.755152+6 7.900000-5 2.914680+6 8.080000-5 3.068484+6 8.300000-5 3.235968+6 8.511380-5 3.377391+6 8.738900-5 3.510843+6 9.015711-5 3.651113+6 9.332543-5 3.787541+6 9.660509-5 3.907180+6 1.011579-4 4.044271+6 1.060000-4 4.157868+6 1.109175-4 4.241698+6 1.161449-4 4.296104+6 1.205000-4 4.314402+6 1.244515-4 4.310549+6 1.288250-4 4.285267+6 1.333521-4 4.238695+6 1.396368-4 4.146929+6 1.462177-4 4.027594+6 1.540000-4 3.868626+6 1.621810-4 3.691128+6 1.720000-4 3.475260+6 1.820000-4 3.257256+6 1.927525-4 3.028836+6 2.040000-4 2.797632+6 2.162719-4 2.556875+6 2.300000-4 2.307672+6 2.454709-4 2.055778+6 2.650000-4 1.780260+6 2.851018-4 1.541332+6 3.054921-4 1.335767+6 3.280000-4 1.144494+6 3.548134-4 9.575926+5 3.890451-4 7.706605+5 4.216965-4 6.331938+5 4.600000-4 5.082774+5 5.011872-4 4.060647+5 5.500000-4 3.162984+5 6.095369-4 2.379109+5 6.700000-4 1.815756+5 7.328245-4 1.397741+5 8.128305-4 1.025703+5 9.120108-4 7.206965+4 1.023293-3 5.022635+4 1.148154-3 3.470330+4 1.273503-3 2.471995+4 1.412538-3 1.749385+4 1.566751-3 1.230755+4 1.757924-3 8.266660+3 1.972423-3 5.514891+3 2.213095-3 3.654028+3 2.511886-3 2.305944+3 2.851018-3 1.444182+3 3.235937-3 8.979678+2 3.672823-3 5.544016+2 4.216965-3 3.250155+2 4.786301-3 1.977760+2 5.432503-3 1.194908+2 6.165950-3 7.167797+1 7.000000-3 4.265532+1 8.035261-3 2.407734+1 9.225714-3 1.347586+1 1.071519-2 7.130855+0 1.258925-2 3.566321+0 1.513561-2 1.602525+0 1.840772-2 6.799142-1 2.213095-2 3.012190-1 2.754229-2 1.132821-1 3.715352-2 2.943318-2 6.025596-2 3.312284-3 7.498942-2 1.241023-3 9.015711-2 5.468421-4 1.071519-1 2.555569-4 1.230269-1 1.399546-4 1.396368-1 8.113867-5 1.566751-1 4.976615-5 1.757924-1 3.075227-5 1.949845-1 2.008305-5 2.162719-1 1.320655-5 2.371374-1 9.162623-6 2.570396-1 6.696128-6 2.786121-1 4.925911-6 3.019952-1 3.648764-6 3.273407-1 2.722295-6 3.548134-1 2.044805-6 3.845918-1 1.545771-6 4.265795-1 1.086408-6 4.623810-1 8.317383-7 4.954502-1 6.659588-7 5.308844-1 5.378039-7 5.754399-1 4.224547-7 6.456542-1 3.020242-7 6.918310-1 2.484769-7 7.413102-1 2.057832-7 7.943282-1 1.717575-7 8.511380-1 1.443061-7 9.015711-1 1.255375-7 9.549926-1 1.098827-7 1.011579+0 9.685177-8 1.083927+0 8.385422-8 1.161449+0 7.307060-8 1.250000+0 6.362100-8 1.396368+0 5.203881-8 1.659587+0 3.843561-8 1.862087+0 3.163190-8 2.065380+0 2.674137-8 2.371374+0 2.154552-8 2.722701+0 1.748567-8 3.090295+0 1.453572-8 3.589219+0 1.178105-8 4.216965+0 9.471059-9 5.011872+0 7.556732-9 6.025596+0 5.988241-9 7.328245+0 4.714036-9 9.120108+0 3.637350-9 1.148154+1 2.789794-9 1.479108+1 2.100468-9 2.018366+1 1.494945-9 2.800000+1 1.053600-9 4.027170+1 7.19308-10 6.531306+1 4.36425-10 1.216186+2 2.31581-10 2.426610+2 1.15245-10 9.660509+2 2.87880-11 1.000000+5 2.77590-13 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 5.055000-5 2.856500-5 1.000000+5 2.856500-5 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 5.055000-5 2.198500-5 1.000000+5 1.000000+5 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.786000-5 1.706484+5 1.798871-5 1.582466+5 1.825000-5 1.344442+5 1.845000-5 1.182384+5 1.867000-5 1.022382+5 1.890000-5 8.733420+4 1.910000-5 7.578980+4 1.932000-5 6.445920+4 1.949845-5 5.625659+4 1.970000-5 4.797000+4 1.985000-5 4.242280+4 2.000000-5 3.737140+4 2.018366-5 3.181573+4 2.035000-5 2.734440+4 2.047000-5 2.442900+4 2.062000-5 2.112780+4 2.078000-5 1.800334+4 2.095000-5 1.510310+4 2.113489-5 1.240482+4 2.162719-5 7.279338+3 2.175000-5 6.416660+3 2.186400-5 5.749740+3 2.195000-5 5.327960+3 2.202000-5 5.034240+3 2.210000-5 4.751320+3 2.217000-5 4.548380+3 2.222000-5 4.428260+3 2.227000-5 4.328160+3 2.232000-5 4.247900+3 2.238721-5 4.170193+3 2.245000-5 4.128200+3 2.252000-5 4.115220+3 2.257000-5 4.126980+3 2.262000-5 4.156160+3 2.269000-5 4.225076+3 2.275000-5 4.309740+3 2.281000-5 4.417320+3 2.289000-5 4.595060+3 2.297000-5 4.811160+3 2.304000-5 5.030260+3 2.315000-5 5.429540+3 2.326000-5 5.892580+3 2.344229-5 6.792136+3 2.377000-5 8.785220+3 2.400000-5 1.043976+4 2.420000-5 1.202948+4 2.442000-5 1.392318+4 2.460000-5 1.557436+4 2.477000-5 1.720958+4 2.493000-5 1.880976+4 2.511886-5 2.076741+4 2.530000-5 2.270780+4 2.550000-5 2.491300+4 2.570396-5 2.722317+4 2.595000-5 3.007940+4 2.620000-5 3.304720+4 2.650000-5 3.667840+4 2.680000-5 4.036780+4 2.710000-5 4.409840+4 2.740000-5 4.785520+4 2.770000-5 5.162440+4 2.800000-5 5.539480+4 2.840000-5 6.040540+4 2.885000-5 6.599520+4 2.935000-5 7.211840+4 2.985383-5 7.816808+4 3.040000-5 8.456420+4 3.100000-5 9.137100+4 3.162278-5 9.817072+4 3.235937-5 1.058419+5 3.311311-5 1.132577+5 3.388442-5 1.203824+5 3.470000-5 1.274034+5 3.570000-5 1.353020+5 3.672823-5 1.426316+5 3.770000-5 1.488518+5 3.900000-5 1.561596+5 4.027170-5 1.622619+5 4.168694-5 1.679344+5 4.315191-5 1.726768+5 4.466836-5 1.765002+5 4.650000-5 1.798258+5 4.850000-5 1.820754+5 5.080000-5 1.831812+5 5.308844-5 1.829942+5 5.559043-5 1.816186+5 5.821032-5 1.791869+5 6.165950-5 1.748555+5 6.531306-5 1.693578+5 6.918310-5 1.629736+5 7.413102-5 1.544837+5 8.035261-5 1.439138+5 8.800000-5 1.317288+5 9.660509-5 1.193945+5 1.080000-4 1.053300+5 1.202264-4 9.270109+4 1.350000-4 8.015480+4 1.531087-4 6.790437+4 1.927525-4 4.954502+4 2.426610-4 3.598028+4 2.786121-4 2.949970+4 3.273407-4 2.321061+4 3.935501-4 1.753338+4 4.841724-4 1.267884+4 5.888437-4 9.281468+3 6.839116-4 7.256546+3 8.128305-4 5.421804+3 9.772372-4 3.941537+3 1.161449-3 2.901286+3 1.396368-3 2.075917+3 1.659587-3 1.506289+3 1.972423-3 1.084701+3 2.317395-3 7.925476+2 2.754229-3 5.618646+2 3.235937-3 4.046146+2 3.801894-3 2.893287+2 4.466836-3 2.054341+2 5.308844-3 1.412314+2 6.237348-3 9.882251+1 7.328245-3 6.864842+1 8.609938-3 4.734287+1 1.011579-2 3.240744+1 1.174898-2 2.263275+1 1.364583-2 1.568586+1 1.603245-2 1.048637+1 1.883649-2 6.955968+0 2.213095-2 4.579771+0 2.600160-2 2.993500+0 3.054921-2 1.942846+0 3.630781-2 1.213130+0 4.315191-2 7.519360-1 5.128614-2 4.628331-1 6.237348-2 2.647918-1 7.762471-2 1.407119-1 1.000000-1 6.711500-2 1.862087-1 1.067870-2 2.344229-1 5.436429-3 2.754229-1 3.411536-3 3.198895-1 2.229559-3 3.630781-1 1.566490-3 4.073803-1 1.144261-3 4.570882-1 8.421142-4 5.069907-1 6.435969-4 5.623413-1 4.955384-4 6.165950-1 3.953779-4 6.760830-1 3.175496-4 7.413102-1 2.567265-4 8.222427-1 2.036883-4 9.015711-1 1.669798-4 9.772372-1 1.412382-4 1.109175+0 1.096819-4 1.230269+0 8.973043-5 1.364583+0 7.391795-5 1.531087+0 6.005065-5 1.698244+0 5.013691-5 1.883649+0 4.213815-5 2.113489+0 3.501093-5 2.426610+0 2.824121-5 2.786121+0 2.294802-5 3.162278+0 1.910099-5 3.672823+0 1.549989-5 4.315191+0 1.247423-5 5.128614+0 9.963177-6 6.165950+0 7.902936-6 7.498942+0 6.226822-6 9.332543+0 4.808420-6 1.174898+1 3.690755-6 1.531087+1 2.745461-6 2.137962+1 1.907860-6 3.162278+1 1.257986-6 4.954502+1 7.877409-7 8.609938+1 4.467434-7 1.717908+2 2.217223-7 3.427678+2 1.105428-7 1.364583+3 2.765800-8 1.000000+5 3.76960-10 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.786000-5 1.786000-5 1.000000+5 1.786000-5 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.786000-5 0.0 1.000000+5 1.000000+5 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 8.120000-6 1.684020+7 8.317638-6 1.654462+7 8.609938-6 1.604601+7 8.912509-6 1.547419+7 9.225714-6 1.485241+7 9.660509-6 1.394257+7 1.000000-5 1.322460+7 1.035142-5 1.247608+7 1.071519-5 1.171191+7 1.120000-5 1.072820+7 1.165000-5 9.856410+6 1.216186-5 8.922360+6 1.273503-5 7.956867+6 1.333521-5 7.040917+6 1.400000-5 6.139180+6 1.462177-5 5.397379+6 1.531087-5 4.680069+6 1.610000-5 3.979780+6 1.698244-5 3.328169+6 1.800000-5 2.718930+6 1.927525-5 2.126627+6 2.070000-5 1.634750+6 2.238721-5 1.215821+6 2.483133-5 8.152924+5 2.851018-5 4.743496+5 3.589219-5 1.913528+5 3.900000-5 1.386890+5 4.168694-5 1.077814+5 4.415704-5 8.727738+4 4.623810-5 7.419638+4 4.800000-5 6.537740+4 5.000000-5 5.731200+4 5.188000-5 5.122219+4 5.370318-5 4.641377+4 5.559043-5 4.234866+4 5.754399-5 3.892341+4 5.956621-5 3.604592+4 6.165950-5 3.363646+4 6.382635-5 3.162587+4 6.606934-5 2.995224+4 6.839116-5 2.855956+4 7.079458-5 2.739833+4 7.328245-5 2.642642+4 7.673615-5 2.536545+4 8.035261-5 2.450479+4 8.511380-5 2.362024+4 9.332543-5 2.247650+4 1.161449-4 2.013913+4 1.303167-4 1.888812+4 1.462177-4 1.757440+4 1.621810-4 1.634784+4 1.819701-4 1.496296+4 2.041738-4 1.359175+4 2.264644-4 1.238565+4 2.483133-4 1.132991+4 2.691535-4 1.041107+4 2.951209-4 9.381955+3 3.235937-4 8.391608+3 3.548134-4 7.454286+3 3.935501-4 6.475551+3 4.365158-4 5.586829+3 4.841724-4 4.787642+3 5.432503-4 4.005006+3 6.000000-4 3.408850+3 6.606934-4 2.892320+3 7.328245-4 2.405316+3 8.128305-4 1.985832+3 9.120108-4 1.593045+3 1.011579-3 1.298326+3 1.122018-3 1.050392+3 1.244515-3 8.438823+2 1.380384-3 6.734288+2 1.548817-3 5.201914+2 1.737801-3 3.988154+2 1.949845-3 3.034593+2 2.187762-3 2.291975+2 2.454709-3 1.718661+2 2.754229-3 1.279768+2 3.090295-3 9.463624+1 3.507519-3 6.737267+1 4.073803-3 4.475981+1 4.570882-3 3.242350+1 5.188000-3 2.256456+1 5.888437-3 1.558545+1 6.760830-3 1.033278+1 7.762471-3 6.796041+0 8.810489-3 4.595826+0 1.011579-2 2.977544+0 1.174898-2 1.845830+0 1.364583-2 1.135651+0 1.584893-2 6.935463-1 1.862087-2 4.045893-1 2.213095-2 2.252664-1 2.630268-2 1.244808-1 3.162278-2 6.562829-2 3.890451-2 3.168082-2 5.069907-2 1.238347-2 8.035261-2 2.389543-3 1.083927-1 8.227667-4 1.333521-1 3.959665-4 1.584893-1 2.168086-4 1.840772-1 1.295232-4 2.113489-1 8.106739-5 2.398833-1 5.312019-5 2.722701-1 3.506706-5 3.054921-1 2.421357-5 3.427678-1 1.684616-5 3.801894-1 1.223739-5 4.216965-1 8.951793-6 4.677351-1 6.596938-6 5.188000-1 4.899593-6 5.688529-1 3.787091-6 6.237348-1 2.946933-6 6.839117-1 2.309138-6 7.498942-1 1.821954-6 8.609938-1 1.288573-6 9.225714-1 1.091274-6 9.772372-1 9.564648-7 1.035142+0 8.442425-7 1.109175+0 7.317845-7 1.188600+0 6.389400-7 1.318257+0 5.280089-7 1.479108+0 4.304310-7 1.698244+0 3.384229-7 1.905461+0 2.789273-7 2.137962+0 2.318525-7 2.454709+0 1.871310-7 2.818383+0 1.521580-7 3.198895+0 1.267327-7 3.715352+0 1.029004-7 4.365158+0 8.285804-8 5.188000+0 6.621307-8 6.237348+0 5.254593-8 7.673615+0 4.085227-8 9.549926+0 3.157161-8 1.202264+1 2.425125-8 1.600000+1 1.763700-8 2.213095+1 1.239764-8 3.349654+1 7.985987-9 5.308844+1 4.946860-9 9.225714+1 2.808269-9 1.840772+2 1.394603-9 3.672823+2 6.95515-10 2.917427+3 8.72005-11 1.000000+5 2.54230-12 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 8.120000-6 8.120000-6 1.000000+5 8.120000-6 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 8.120000-6 0.0 1.000000+5 1.000000+5 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 7.810000-6 3.479900+7 8.035261-6 3.394201+7 8.413951-6 3.234873+7 8.709636-6 3.102461+7 9.100000-6 2.923020+7 9.500000-6 2.736200+7 9.930000-6 2.538020+7 1.035142-5 2.348371+7 1.071519-5 2.190471+7 1.122018-5 1.982484+7 1.174898-5 1.780303+7 1.230269-5 1.586478+7 1.290000-5 1.398134+7 1.350000-5 1.229868+7 1.420000-5 1.058344+7 1.496236-5 8.990226+6 1.570000-5 7.686980+6 1.659587-5 6.372453+6 1.770000-5 5.085000+6 1.883649-5 4.060095+6 2.018366-5 3.140576+6 2.187762-5 2.311266+6 2.426610-5 1.545536+6 3.349654-5 4.327133+5 3.650000-5 3.101260+5 3.900000-5 2.414160+5 4.120975-5 1.973076+5 4.315191-5 1.677422+5 4.518559-5 1.436387+5 4.677351-5 1.285857+5 4.850000-5 1.151664+5 5.011872-5 1.048327+5 5.188000-5 9.557844+4 5.370318-5 8.776291+4 5.559043-5 8.118944+4 5.754399-5 7.567923+4 5.956621-5 7.107054+4 6.165950-5 6.722335+4 6.400000-5 6.379040+4 6.650000-5 6.089900+4 6.918310-5 5.845568+4 7.244360-5 5.614562+4 7.650000-5 5.396380+4 8.222426-5 5.166701+4 1.096478-4 4.450874+4 1.230269-4 4.161247+4 1.380384-4 3.858755+4 1.531087-4 3.577825+4 1.720000-4 3.259080+4 1.949845-4 2.920845+4 2.187762-4 2.622301+4 2.398833-4 2.391600+4 2.630268-4 2.165148+4 2.884032-4 1.945706+4 3.126079-4 1.761104+4 3.427678-4 1.560920+4 3.801894-4 1.352547+4 4.265795-4 1.144173+4 4.786301-4 9.602357+3 5.370318-4 8.000182+3 5.956621-4 6.740965+3 6.531306-4 5.744511+3 7.244360-4 4.762445+3 8.128305-4 3.835176+3 9.015711-4 3.136146+3 1.000000-3 2.547505+3 1.109175-3 2.054890+3 1.230269-3 1.646496+3 1.380384-3 1.277367+3 1.548817-3 9.832395+2 1.737801-3 7.510693+2 1.949845-3 5.694228+2 2.187762-3 4.286252+2 2.454709-3 3.203253+2 2.754229-3 2.376604+2 3.090295-3 1.750270+2 3.467369-3 1.279405+2 3.935501-3 8.996074+1 4.518559-3 6.080777+1 5.128614-3 4.216051+1 5.821032-3 2.902641+1 6.606934-3 1.983997+1 7.498942-3 1.346618+1 8.511380-3 9.076492+0 9.772372-3 5.856815+0 1.122018-2 3.751217+0 1.303167-2 2.297186+0 1.513561-2 1.395826+0 1.757924-2 8.416162-1 2.065380-2 4.842556-1 2.426610-2 2.765661-1 2.884032-2 1.506137-1 3.427678-2 8.139524-2 4.216965-2 3.857738-2 5.432503-2 1.535413-2 6.606934-2 7.493938-3 1.000000-1 1.634357-3 1.244515-1 7.363042-4 1.496236-1 3.789267-4 1.737801-1 2.221818-4 1.972423-1 1.423636-4 2.238721-1 9.185941-5 2.511886-1 6.213183-5 2.786121-1 4.399953-5 3.090295-1 3.138584-5 3.388442-1 2.340084-5 3.715352-1 1.756482-5 4.073803-1 1.327961-5 4.466836-1 1.011757-5 4.841724-1 8.026909-6 5.248075-1 6.408923-6 5.688529-1 5.150314-6 6.165950-1 4.166214-6 6.683439-1 3.392919-6 7.244360-1 2.781413-6 7.852356-1 2.295088-6 8.609938-1 1.855375-6 9.332543-1 1.552076-6 1.000000+0 1.340500-6 1.096478+0 1.111729-6 1.188600+0 9.494900-7 1.318257+0 7.818783-7 1.479108+0 6.349288-7 1.659587+0 5.188337-7 1.840772+0 4.353421-7 2.044000+0 3.671400-7 2.344229+0 2.961291-7 2.691535+0 2.401917-7 3.054921+0 1.995558-7 3.548134+0 1.616416-7 4.168694+0 1.298768-7 4.954502+0 1.035711-7 5.956621+0 8.203104-8 7.244360+0 6.454860-8 9.015711+0 4.978525-8 1.135011+1 3.816978-8 1.462177+1 2.872916-8 1.972423+1 2.069730-8 2.722701+1 1.465673-8 3.890451+1 1.006948-8 6.237348+1 6.178980-9 1.122018+2 3.393821-9 2.238721+2 1.687928-9 4.466836+2 8.42555-10 3.548134+3 1.05706-10 1.000000+5 3.74860-12 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 7.810000-6 7.810000-6 1.000000+5 7.810000-6 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 7.810000-6 0.0 1.000000+5 1.000000+5 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 5.378540-8 1.028750+0 5.378540-7 1.031000+0 1.266660-6 1.032000+0 1.733120-6 1.033200+0 2.427800-6 1.034000+0 2.980350-6 1.035300+0 4.045400-6 1.036640+0 5.378540-6 1.038200+0 7.258510-6 1.039700+0 9.430260-6 1.041500+0 1.254690-5 1.043800+0 1.741540-5 1.046400+0 2.423030-5 1.048300+0 3.016740-5 1.051200+0 4.092150-5 1.054080+0 5.378540-5 1.057700+0 7.331300-5 1.061100+0 9.536180-5 1.065100+0 1.262480-4 1.070400+0 1.761300-4 1.076200+0 2.434110-4 1.080600+0 3.039810-4 1.087100+0 4.095620-4 1.093710+0 5.378540-4 1.102600+0 7.457210-4 1.110700+0 9.725580-4 1.120600+0 1.300970-3 1.133300+0 1.808890-3 1.147500+0 2.497510-3 1.158200+0 3.103770-3 1.174100+0 4.148340-3 1.190110+0 5.378540-3 1.205100+0 6.695330-3 1.227500+0 8.961270-3 1.250000+0 1.158000-2 1.265600+0 1.358120-2 1.294900+0 1.771740-2 1.331800+0 2.355530-2 1.362600+0 2.889850-2 1.411700+0 3.819730-2 1.455800+0 4.729520-2 1.500000+0 5.713000-2 1.562500+0 7.232120-2 1.617200+0 8.682470-2 1.712900+0 1.146600-1 1.784700+0 1.373080-1 1.892300+0 1.733440-1 2.000000+0 2.108000-1 2.044000+0 2.262000-1 2.163500+0 2.686640-1 2.372600+0 3.446780-1 2.647100+0 4.454680-1 3.000000+0 5.732000-1 3.437500+0 7.247380-1 4.000000+0 9.075000-1 4.750000+0 1.131940+0 5.000000+0 1.202000+0 6.000000+0 1.460000+0 7.000000+0 1.691000+0 8.000000+0 1.899000+0 9.000000+0 2.088000+0 1.000000+1 2.259000+0 1.100000+1 2.415000+0 1.200000+1 2.558000+0 1.300000+1 2.689000+0 1.400000+1 2.811000+0 1.500000+1 2.925000+0 1.600000+1 3.032000+0 1.800000+1 3.227000+0 2.000000+1 3.401000+0 2.200000+1 3.560000+0 2.400000+1 3.704000+0 2.600000+1 3.835000+0 2.800000+1 3.956000+0 3.000000+1 4.068000+0 4.000000+1 4.522000+0 5.000000+1 4.861000+0 6.000000+1 5.125000+0 8.000000+1 5.517000+0 1.000000+2 5.795000+0 1.500000+2 6.238000+0 2.000000+2 6.502000+0 3.000000+2 6.810000+0 4.000000+2 6.987000+0 5.000000+2 7.103000+0 6.000000+2 7.186000+0 8.000000+2 7.297000+0 1.000000+3 7.369000+0 1.500000+3 7.473000+0 2.000000+3 7.530000+0 3.000000+3 7.591000+0 4.000000+3 7.624000+0 5.000000+3 7.644000+0 6.000000+3 7.659000+0 8.000000+3 7.678000+0 1.000000+4 7.689000+0 1.500000+4 7.706000+0 2.000000+4 7.715000+0 3.000000+4 7.724000+0 4.000000+4 7.729000+0 5.000000+4 7.732000+0 6.000000+4 7.734000+0 8.000000+4 7.737000+0 1.000000+5 7.738000+0 1 33000 7 8 7.492160+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 3.312590-7 2.106600+0 1.079280-6 2.114000+0 1.493320-6 2.119500+0 1.859170-6 2.127900+0 2.521390-6 2.136250+0 3.312590-6 2.147000+0 4.541790-6 2.156900+0 5.899240-6 2.169000+0 7.872910-6 2.184500+0 1.094360-5 2.201800+0 1.514080-5 2.214800+0 1.886420-5 2.234200+0 2.537580-5 2.253680+0 3.312590-5 2.281500+0 4.639870-5 2.307000+0 6.094460-5 2.338200+0 8.194530-5 2.377400+0 1.134850-4 2.410200+0 1.443330-4 2.446800+0 1.836000-4 2.485900+0 2.311630-4 2.532900+0 2.958380-4 2.556430+0 3.312590-4 2.611900+0 4.223900-4 2.660400+0 5.106440-4 2.745300+0 6.834590-4 2.809000+0 8.277040-4 2.904500+0 1.066270-3 3.000000+0 1.331000-3 3.125000+0 1.716350-3 3.234400+0 2.088520-3 3.425800+0 2.812770-3 3.569300+0 3.411040-3 3.784700+0 4.385420-3 4.000000+0 5.433000-3 4.250000+0 6.713790-3 4.625000+0 8.726790-3 5.000000+0 1.082000-2 5.500000+0 1.369470-2 6.000000+0 1.661000-2 6.750000+0 2.095140-2 7.000000+0 2.238000-2 8.000000+0 2.797000-2 9.000000+0 3.333000-2 1.000000+1 3.842000-2 1.100000+1 4.324000-2 1.200000+1 4.779000-2 1.300000+1 5.208000-2 1.400000+1 5.617000-2 1.500000+1 6.004000-2 1.600000+1 6.373000-2 1.800000+1 7.056000-2 2.000000+1 7.679000-2 2.200000+1 8.250000-2 2.400000+1 8.775000-2 2.600000+1 9.261000-2 2.800000+1 9.713000-2 3.000000+1 1.013000-1 4.000000+1 1.188000-1 5.000000+1 1.321000-1 6.000000+1 1.427000-1 8.000000+1 1.588000-1 1.000000+2 1.705000-1 1.500000+2 1.900000-1 2.000000+2 2.022000-1 3.000000+2 2.173000-1 4.000000+2 2.264000-1 5.000000+2 2.326000-1 6.000000+2 2.372000-1 8.000000+2 2.435000-1 1.000000+3 2.477000-1 1.500000+3 2.539000-1 2.000000+3 2.575000-1 3.000000+3 2.613000-1 4.000000+3 2.636000-1 5.000000+3 2.650000-1 6.000000+3 2.659000-1 8.000000+3 2.672000-1 1.000000+4 2.681000-1 1.500000+4 2.692000-1 2.000000+4 2.698000-1 3.000000+4 2.704000-1 4.000000+4 2.708000-1 5.000000+4 2.711000-1 6.000000+4 2.712000-1 8.000000+4 2.714000-1 1.000000+5 2.715000-1 1 33000 7 8 7.492160+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 33000 7 9 7.492160+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 3.300000+1 1.000000+5 3.300000+1 5.000000+5 3.298600+1 8.750000+5 3.296740+1 1.000000+6 3.296300+1 1.375000+6 3.294120+1 1.500000+6 3.293100+1 1.875000+6 3.289200+1 2.000000+6 3.287700+1 2.500000+6 3.280900+1 3.000000+6 3.272600+1 3.500000+6 3.262860+1 4.000000+6 3.252100+1 4.750000+6 3.233480+1 5.000000+6 3.226800+1 5.500000+6 3.212260+1 6.250000+6 3.188470+1 6.500000+6 3.179770+1 7.000000+6 3.162500+1 7.875000+6 3.130020+1 8.500000+6 3.105660+1 8.625000+6 3.100600+1 9.000000+6 3.085900+1 1.000000+7 3.045000+1 1.109400+7 2.998100+1 1.187500+7 2.963580+1 1.203100+7 2.956730+1 1.250000+7 2.936100+1 1.375000+7 2.880470+1 1.500000+7 2.825900+1 1.687500+7 2.746110+1 1.750000+7 2.720100+1 1.937500+7 2.643340+1 2.000000+7 2.618700+1 2.250000+7 2.523580+1 2.375000+7 2.478280+1 2.500000+7 2.434600+1 2.875000+7 2.309370+1 3.000000+7 2.269500+1 3.250000+7 2.191410+1 3.500000+7 2.115460+1 3.625000+7 2.078200+1 4.000000+7 1.969100+1 4.250000+7 1.898210+1 4.625000+7 1.794920+1 4.750000+7 1.761280+1 5.000000+7 1.695100+1 5.437500+7 1.583230+1 5.750000+7 1.507100+1 5.812500+7 1.492170+1 6.000000+7 1.448500+1 6.500000+7 1.338050+1 7.000000+7 1.237400+1 8.000000+7 1.066300+1 9.000000+7 9.334600+0 1.000000+8 8.327700+0 1.062500+8 7.828930+0 1.125000+8 7.408720+0 1.156300+8 7.222600+0 1.250000+8 6.747000+0 1.375000+8 6.257280+0 1.437500+8 6.052260+0 1.500000+8 5.864900+0 1.671900+8 5.402560+0 1.750000+8 5.201610+0 1.789100+8 5.100800+0 1.894500+8 4.825810+0 1.973600+8 4.614810+0 2.000000+8 4.543800+0 2.375000+8 3.618400+0 2.500000+8 3.392400+0 2.750000+8 3.040150+0 2.835900+8 2.919340+0 2.875000+8 2.861550+0 2.894500+8 2.831840+0 2.964800+8 2.719750+0 3.000000+8 2.660800+0 3.062500+8 2.551300+0 3.308600+8 2.145970+0 3.377000+8 2.056000+0 3.459000+8 1.966280+0 3.500000+8 1.929200+0 3.562500+8 1.882820+0 3.617200+8 1.849970+0 4.000000+8 1.692600+0 4.125000+8 1.632770+0 5.000000+8 1.219500+0 5.179700+8 1.170900+0 5.330100+8 1.138600+0 5.712900+8 1.074990+0 6.000000+8 1.033000+0 6.250000+8 9.950500-1 6.812500+8 9.114310-1 7.000000+8 8.860000-1 7.625000+8 8.090560-1 7.875000+8 7.785320-1 8.000000+8 7.629000-1 8.250000+8 7.306170-1 8.468800+8 7.018860-1 8.851600+8 6.518870-1 9.138700+8 6.155350-1 9.569300+8 5.639140-1 1.000000+9 5.166000-1 1.062500+9 4.559510-1 1.141100+9 3.912290-1 1.206900+9 3.451500-1 1.280200+9 3.009980-1 1.358700+9 2.606420-1 1.429300+9 2.294940-1 1.500000+9 2.024200-1 1.562500+9 1.814040-1 1.671900+9 1.502880-1 1.753900+9 1.309850-1 1.877000+9 1.071930-1 2.000000+9 8.840400-2 2.184600+9 6.713010-2 2.360500+9 5.239870-2 2.605300+9 3.792520-2 2.755000+9 3.147470-2 3.035600+9 2.265320-2 3.281200+9 1.732580-2 3.710900+9 1.126630-2 4.274900+9 6.818480-3 5.000000+9 3.888000-3 8.000000+9 7.145400-4 1.00000+10 3.208400-4 1.20500+10 1.656670-4 1.41820+10 9.363090-5 1.71170+10 4.881320-5 2.01490+10 2.792240-5 2.26440+10 1.878270-5 2.74790+10 9.791660-6 3.41360+10 4.755690-6 4.02450+10 2.764020-6 4.77140+10 1.584040-6 5.73000+10 8.745080-7 7.25500+10 4.093750-7 9.08500+10 1.997640-7 1.00000+11 1.473200-7 1.34280+11 5.814390-8 1.77440+11 2.431380-8 2.63330+11 7.152790-9 3.75720+11 2.402530-9 6.61190+11 4.32053-10 1.48990+12 3.79973-11 4.26460+12 1.71562-12 1.00000+14 1.83240-16 5.62340+14 1.19556-18 7.49890+15 5.86621-22 1.00000+17 2.75110-25 1 33000 7 0 7.492160+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 4.00000-12 1.000000+2 4.00000-10 1.000000+3 4.000000-8 1.000000+4 4.000000-6 1.000000+5 4.000000-4 5.000000+5 1.000000-2 8.750000+5 3.062500-2 1.000000+6 4.000000-2 1.375000+6 7.589800-2 1.500000+6 9.030000-2 1.875000+6 1.403370-1 2.000000+6 1.593000-1 2.500000+6 2.463000-1 3.000000+6 3.504000-1 3.500000+6 4.701250-1 4.000000+6 6.041000-1 4.750000+6 8.286620-1 5.000000+6 9.090000-1 5.500000+6 1.076450+0 6.250000+6 1.342190+0 6.500000+6 1.433870+0 7.000000+6 1.621200+0 7.875000+6 1.957740+0 8.500000+6 2.202450+0 8.625000+6 2.251610+0 9.000000+6 2.399500+0 1.000000+7 2.793000+0 1.109400+7 3.219640+0 1.187500+7 3.520360+0 1.203100+7 3.579700+0 1.250000+7 3.757700+0 1.375000+7 4.222710+0 1.500000+7 4.675000+0 1.687500+7 5.330160+0 1.750000+7 5.543200+0 1.937500+7 6.163590+0 2.000000+7 6.365000+0 2.250000+7 7.142580+0 2.375000+7 7.514780+0 2.500000+7 7.877700+0 2.875000+7 8.908280+0 3.000000+7 9.236000+0 3.250000+7 9.871780+0 3.500000+7 1.048520+1 3.625000+7 1.078440+1 4.000000+7 1.165800+1 4.250000+7 1.222160+1 4.625000+7 1.303960+1 4.750000+7 1.330620+1 5.000000+7 1.382800+1 5.437500+7 1.470680+1 5.750000+7 1.530830+1 5.812500+7 1.542550+1 6.000000+7 1.577500+1 6.500000+7 1.666690+1 7.000000+7 1.751100+1 8.000000+7 1.905600+1 9.000000+7 2.042000+1 1.000000+8 2.161200+1 1.062500+8 2.227340+1 1.125000+8 2.287830+1 1.156300+8 2.316130+1 1.250000+8 2.393800+1 1.375000+8 2.482510+1 1.437500+8 2.521790+1 1.500000+8 2.558300+1 1.671900+8 2.646870+1 1.750000+8 2.682420+1 1.789100+8 2.699350+1 1.894500+8 2.741830+1 1.973600+8 2.771510+1 2.000000+8 2.781000+1 2.375000+8 2.895290+1 2.500000+8 2.926400+1 2.750000+8 2.978640+1 2.835900+8 2.994200+1 2.875000+8 3.000930+1 2.894500+8 3.004090+1 2.964800+8 3.015350+1 3.000000+8 3.020900+1 3.062500+8 3.029760+1 3.308600+8 3.061430+1 3.377000+8 3.069290+1 3.459000+8 3.077940+1 3.500000+8 3.082200+1 3.562500+8 3.088060+1 3.617200+8 3.093110+1 4.000000+8 3.124100+1 4.125000+8 3.132470+1 5.000000+8 3.179600+1 5.179700+8 3.187150+1 5.330100+8 3.193290+1 5.712900+8 3.207560+1 6.000000+8 3.217300+1 6.250000+8 3.224740+1 6.812500+8 3.239690+1 7.000000+8 3.244200+1 7.625000+8 3.256520+1 7.875000+8 3.260900+1 8.000000+8 3.262900+1 8.250000+8 3.266430+1 8.468800+8 3.269430+1 8.851600+8 3.273760+1 9.138700+8 3.276830+1 9.569300+8 3.280610+1 1.000000+9 3.284000+1 1.062500+9 3.287430+1 1.141100+9 3.291060+1 1.206900+9 3.293110+1 1.280200+9 3.294960+1 1.358700+9 3.296230+1 1.429300+9 3.297250+1 1.500000+9 3.297900+1 1.562500+9 3.298140+1 1.671900+9 3.298540+1 1.753900+9 3.298820+1 1.877000+9 3.299220+1 2.000000+9 3.299600+1 2.184600+9 3.299640+1 2.360500+9 3.299670+1 2.605300+9 3.299720+1 2.755000+9 3.299740+1 3.035600+9 3.299780+1 3.281200+9 3.299820+1 3.710900+9 3.299870+1 4.274900+9 3.299930+1 5.000000+9 3.300000+1 8.000000+9 3.300000+1 1.00000+10 3.300000+1 1.20500+10 3.300000+1 1.41820+10 3.300000+1 1.71170+10 3.300000+1 2.01490+10 3.300000+1 2.26440+10 3.300000+1 2.74790+10 3.300000+1 3.41360+10 3.300000+1 4.02450+10 3.300000+1 4.77140+10 3.300000+1 5.73000+10 3.300000+1 7.25500+10 3.300000+1 9.08500+10 3.300000+1 1.00000+11 3.300000+1 1.34280+11 3.300000+1 1.77440+11 3.300000+1 2.63330+11 3.300000+1 3.75720+11 3.300000+1 6.61190+11 3.300000+1 1.48990+12 3.300000+1 4.26460+12 3.300000+1 1.00000+14 3.300000+1 5.62340+14 3.300000+1 7.49890+15 3.300000+1 1.00000+17 3.300000+1 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.077183-6 0.0 4.580663-6 0.0 4.598639-6 7.549431-1 4.603212-6 9.447645-1 4.614487-6 1.725690+0 4.625762-6 2.909750+0 4.638446-6 4.775771+0 4.658000-6 8.331686+0 4.671565-6 1.065317+1 4.683170-6 1.199081+1 4.694920-6 1.239932+1 4.706271-6 1.181399+1 4.718274-6 1.027733+1 4.737295-6 6.862631+0 4.749784-6 4.639122+0 4.761763-6 2.919391+0 4.772333-6 1.784720+0 4.783608-6 9.817889-1 4.799815-6 2.807303-1 4.806157-6 0.0 4.891697-6 0.0 4.912768-6 3.812864-1 4.915778-6 4.352001-1 4.927818-6 7.949285-1 4.939858-6 1.340359+0 4.953404-6 2.199930+0 4.974498-6 3.855167+0 4.988772-6 4.907317+0 5.001165-6 5.523495+0 5.012879-6 5.726316+0 5.026089-6 5.429081+0 5.038344-6 4.756747+0 5.057298-6 3.296792+0 5.072301-6 2.136984+0 5.084342-6 1.379562+0 5.096382-6 8.221204-1 5.108422-6 4.522552-1 5.125730-6 1.293167-1 5.132503-6 0.0 5.551409-6 0.0 5.572959-6 8.754239-7 5.578737-6 1.328714-6 5.592401-6 2.763483-6 5.600393-6 3.874679-6 5.606065-6 4.807001-6 5.614110-6 6.428474-6 5.619730-6 7.743883-6 5.627827-6 9.887737-6 5.660722-6 2.048695-5 5.674386-6 2.434966-5 5.688050-6 2.684091-5 5.701714-6 2.744722-5 5.715378-6 2.604296-5 5.729042-6 2.293251-5 5.770035-6 1.001432-5 5.778716-6 7.721844-6 5.783699-6 6.546617-6 5.792433-6 4.790900-6 5.797363-6 3.972315-6 5.806150-6 2.753434-6 5.819867-6 1.288454-6 5.824691-6 8.948710-7 5.833584-6 5.493676-7 5.847301-6 0.0 5.862434-6 0.0 5.883983-6 7.49316-15 5.912949-6 9.877658-7 5.927431-6 1.804235-6 5.941914-6 3.042188-6 5.956397-6 4.735141-6 5.999845-6 1.104833-5 6.014327-6 1.248703-5 6.028810-6 1.302793-5 6.043293-6 1.254716-5 6.057775-6 1.115501-5 6.101223-6 4.850273-6 6.111396-6 3.643662-6 6.111884-6 2.916304-3 6.141971-6 1.779183+0 6.157015-6 3.248354+0 6.172058-6 5.474877+0 6.188982-6 8.981873+0 6.215074-6 1.566020+1 6.233202-6 2.001816+1 6.249151-6 2.255318+1 6.265177-6 2.330842+1 6.280272-6 2.220669+1 6.297201-6 1.918682+1 6.338478-6 9.552637+0 6.353522-6 6.855740+0 6.368566-6 4.946624+0 6.383847-6 3.697796+0 6.402925-6 2.659254+0 6.413015-6 1.999809+0 6.423494-6 1.914724+0 6.432276-6 2.020460+0 6.455845-6 2.163048+0 6.470830-6 2.500025+0 6.486639-6 3.250038+0 6.502660-6 4.467126+0 6.549876-6 9.329861+0 6.567415-6 1.051937+1 6.583224-6 1.086255+1 6.598260-6 1.043403+1 6.616232-6 9.059954+0 6.662022-6 4.406288+0 6.675855-6 3.301182+0 6.691664-6 2.395829+0 6.707473-6 1.796096+0 6.725195-6 1.341180+0 6.738580-6 9.341095-1 6.754895-6 8.206405-1 6.771716-6 6.617053-1 6.805540-6 1.125291+0 6.821687-6 1.625369+0 6.839396-6 2.589288+0 6.856686-6 3.972665+0 6.906465-6 8.938842+0 6.924969-6 1.015755+1 6.940006-6 1.057029+1 6.958631-6 1.013073+1 6.974627-6 9.105282+0 7.012664-6 5.455273+0 7.023231-6 4.398166+0 7.038366-6 3.102958+0 7.056075-6 1.952544+0 7.071701-6 1.218677+0 7.079282-6 9.840014-1 7.082708-6 9.202346-1 7.105036-6 7.245423-1 7.114132-6 8.777109-1 7.118995-6 1.014836+0 7.133546-6 1.521902+0 7.150213-6 2.415446+0 7.167474-6 3.698339+0 7.223494-6 8.984427+0 7.242429-6 1.011893+1 7.258300-6 1.052735+1 7.276321-6 1.021132+1 7.297073-6 9.021603+0 7.341946-6 5.679290+0 7.361325-6 4.717466+0 7.380191-6 4.227448+0 7.399091-6 4.085907+0 7.432461-6 4.145568+0 7.518539-6 5.643224+0 7.554821-6 6.321800+0 7.582176-6 6.518425+0 7.646633-6 5.867912+0 7.675966-6 5.587138+0 7.719829-6 5.580120+0 7.752956-6 5.724507+0 7.871755-6 5.812029+0 8.196561-6 5.895183+0 9.510042-6 5.652695+0 9.556858-6 7.393209+0 9.580266-6 8.836788+0 9.606599-6 1.140388+1 9.630007-6 1.448864+1 9.697304-6 2.522919+1 9.724918-6 2.794915+1 9.746269-6 2.865215+1 9.772543-6 2.733670+1 9.797583-6 2.435004+1 9.824206-6 2.041068+1 9.867608-6 1.679831+1 9.886822-6 1.665032+1 9.896172-6 1.707432+1 9.917538-6 1.933918+1 9.945262-6 2.523347+1 9.991683-6 3.879180+1 1.001521-5 4.618503+1 1.004271-5 5.162462+1 1.006671-5 5.298071+1 1.008919-5 5.102401+1 1.011549-5 4.505495+1 1.018367-5 2.320272+1 1.020784-5 1.688291+1 1.023201-5 1.222869+1 1.025619-5 9.136991+0 1.030453-5 5.348295+0 1.454351-5 3.187069+0 1.539400-5 2.822419+0 1.554556-5 2.917175+0 1.573501-5 3.295308+0 1.581079-5 3.256379+0 1.600024-5 2.726726+0 1.615180-5 2.526019+0 1.652379-5 2.411515+0 1.681102-5 2.424686+0 1.708901-5 2.255067+0 1.903849-5 1.691471+0 2.047000-5 1.379473+0 2.220296-5 1.093934+0 2.406391-5 8.708967-1 2.581655-5 7.167683-1 2.795656-5 5.809577-1 3.007871-5 4.853700-1 3.251044-5 4.082298-1 3.474390-5 3.584516-1 3.770000-5 3.137402-1 4.167668-5 2.776068-1 4.188185-5 9.000766-1 4.198443-5 1.415042+0 4.209404-5 2.269343+0 4.214330-5 2.781905+0 4.219966-5 3.495534+0 4.239914-5 6.519357+0 4.254222-5 8.755923+0 4.261555-5 9.738363+0 4.272179-5 1.073269+1 4.283302-5 1.116785+1 4.292873-5 1.106735+1 4.304972-5 1.035881+1 4.321541-5 8.734414+0 4.352315-5 4.929056+0 4.372832-5 2.614937+0 4.381279-5 2.003087+0 4.390671-5 1.443513+0 4.401044-5 9.907932-1 4.412628-5 6.483485-1 4.421790-5 4.021419-1 4.433527-5 3.334618-1 4.454426-5 2.623056-1 4.724961-5 2.530336-1 4.748221-5 3.221839-1 4.759851-5 3.795421-1 4.771481-5 4.666950-1 4.784539-5 6.038619-1 4.805257-5 8.770265-1 4.819290-5 1.077945+0 4.830847-5 1.207293+0 4.842424-5 1.296402+0 4.854178-5 1.336969+0 4.923612-5 1.322347+0 4.937250-5 1.298618+0 4.982296-5 1.119444+0 5.020370-5 1.085496+0 5.124701-5 1.111329+0 5.470000-5 1.186496+0 5.704926-5 1.302423+0 5.920000-5 1.476477+0 6.144000-5 1.735150+0 6.371585-5 2.079562+0 6.628529-5 2.562690+0 7.099828-5 3.641859+0 8.222426-5 6.383658+0 9.332543-5 8.596731+0 1.109348-4 1.140637+1 1.249107-4 1.303932+1 1.389282-4 1.417506+1 1.416892-4 1.467876+1 1.478246-4 1.523801+1 1.800694-4 1.591107+1 1.897690-4 1.596621+1 1.916825-4 1.652358+1 1.939943-4 1.772623+1 1.955218-4 1.721781+1 1.977277-4 1.619652+1 2.065381-4 1.639905+1 2.621440-4 1.505585+1 3.934838-4 1.114577+1 5.034730-4 8.705079+0 6.010644-4 7.140653+0 7.187245-4 5.762790+0 8.486918-4 4.671949+0 9.835049-4 3.851197+0 1.155614-3 3.093260+0 1.295198-3 2.647735+0 1.303716-3 2.726502+0 1.308717-3 2.921718+0 1.312953-3 3.268811+0 1.316927-3 3.805005+0 1.321165-3 4.628770+0 1.329074-3 6.652520+0 1.336167-3 8.456922+0 1.343772-3 9.845475+0 1.365800-3 1.265724+1 1.379000-3 1.435525+1 1.393000-3 1.502673+1 1.465735-3 1.436424+1 1.491439-3 1.426915+1 1.521754-3 1.530848+1 1.810835-3 1.206695+1 2.113489-3 9.629707+0 2.434481-3 7.755749+0 2.802205-3 6.224995+0 3.209631-3 5.000381+0 3.651741-3 4.047497+0 4.138806-3 3.284532+0 4.729651-3 2.620088+0 5.344297-3 2.124718+0 6.022809-3 1.726273+0 6.748413-3 1.414052+0 7.559769-3 1.156977+0 8.508503-3 9.369653-1 9.669483-3 7.444660-1 1.089786-2 5.994487-1 1.154021-2 5.455152-1 1.159441-2 5.765586-1 1.163226-2 6.373359-1 1.165817-2 7.136420-1 1.168301-2 8.239096-1 1.171190-2 1.008713+0 1.173954-2 1.244979+0 1.177880-2 1.673253+0 1.186696-2 2.754396+0 1.191758-2 3.219816+0 1.197496-2 3.515839+0 1.205663-2 3.638525+0 1.434356-2 2.791984+0 1.621810-2 2.277695+0 1.821000-2 1.876457+0 2.065895-2 1.509102+0 2.334025-2 1.220526+0 2.599772-2 1.006023+0 2.894222-2 8.295922-1 3.248494-2 6.703797-1 3.643115-2 5.422754-1 4.021303-2 4.500001-1 4.481804-2 3.664054-1 4.954502-2 3.020687-1 5.438789-2 2.522412-1 5.943697-2 2.120461-1 6.547354-2 1.753074-1 7.242954-2 1.436503-1 7.992339-2 1.180000-1 8.977573-2 9.358222-2 9.869286-2 7.736103-2 1.093489-1 6.293372-2 1.201400-1 5.207200-2 1.312459-1 4.358069-2 1.433044-1 3.650113-2 1.574853-1 3.018064-2 1.731190-1 2.494536-2 1.910938-1 2.050256-2 2.097491-1 1.705565-2 2.309072-1 1.411184-2 2.548641-1 1.165665-2 2.818383-1 9.622964-3 3.131949-1 7.899271-3 3.449238-1 6.621755-3 3.816755-1 5.529661-3 4.244744-1 4.603581-3 4.690833-1 3.902879-3 5.206945-1 3.306728-3 5.863069-1 2.763656-3 6.685071-1 2.295337-3 7.687431-1 1.914374-3 9.015711-1 1.587146-3 1.070165+0 1.320644-3 1.292737+0 1.081893-3 1.546860+0 8.948549-4 1.859734+0 7.366075-4 2.235892+0 6.063447-4 2.688134+0 4.991178-4 3.231848+0 4.108531-4 3.885536+0 3.381972-4 4.671441+0 2.783899-4 5.616308+0 2.291590-4 6.752287+0 1.886342-4 8.118035+0 1.552759-4 9.760024+0 1.278167-4 1.000000+1 2.566069-4 1 33000 7 0 7.492160+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-3.297772+1 3.077183-6-3.268040+1 4.281175-6-3.151842+1 4.505471-6-3.006864+1 4.573656-6-2.833927+1 4.629637-6-2.475384+1 4.648311-6-2.458902+1 4.666104-6-2.614638+1 4.684450-6-2.973956+1 4.701132-6-3.356694+1 4.722824-6-2.938050+1 4.741328-6-2.798279+1 4.767048-6-2.879173+1 4.829130-6-3.276631+1 4.852997-6-3.358288+1 4.960976-6-3.037337+1 4.988772-6-3.139778+1 5.012879-6-3.359241+1 5.054335-6-3.088100+1 5.093748-6-3.127983+1 5.178615-6-3.344244+1 5.245322-6-3.356824+1 5.862434-6-3.037955+1 6.014327-6-2.827192+1 6.084464-6-2.598337+1 6.111884-6-2.399944+1 6.177229-6-1.791814+1 6.192273-6-1.730655+1 6.208727-6-1.790000+1 6.223771-6-1.991637+1 6.233202-6-2.198465+1 6.248220-6-2.612190+1 6.274662-6-3.439870+1 6.292265-6-2.953054+1 6.307352-6-2.673143+1 6.326652-6-2.520662+1 6.338478-6-2.533196+1 6.367625-6-2.745444+1 6.448269-6-3.443082+1 6.464764-6-3.364390+1 6.510800-6-3.092808+1 6.543111-6-3.150953+1 6.575441-6-3.476811+1 6.616232-6-3.014130+1 6.647026-6-2.905273+1 6.691664-6-3.062748+1 6.772616-6-3.498368+1 6.859806-6-3.046215+1 6.893472-6-3.090808+1 6.926732-6-3.385179+1 6.940006-6-3.507932+1 6.982586-6-3.085149+1 7.015306-6-2.998765+1 7.056075-6-3.167526+1 7.107349-6-3.555272+1 7.168952-6-3.186423+1 7.206104-6-3.198876+1 7.241455-6-3.465068+1 7.255688-6-3.574493+1 7.297073-6-3.203581+1 7.332884-6-3.122125+1 7.460259-6-3.498799+1 7.550799-6-3.507082+1 7.646633-6-3.385549+1 7.864367-6-3.421759+1 8.768997-6-3.477545+1 9.229698-6-3.028900+1 9.405444-6-2.698397+1 9.487409-6-2.404541+1 9.556858-6-1.932503+1 9.611720-6-1.525583+1 9.635128-6-1.426110+1 9.656341-6-1.424506+1 9.673897-6-1.504945+1 9.695659-6-1.706594+1 9.720712-6-2.075863+1 9.773692-6-2.969643+1 9.802263-6-3.240327+1 9.821806-6-3.210457+1 9.859599-6-2.935618+1 9.894486-6-2.369589+1 9.922723-6-1.889968+1 9.945262-6-1.637712+1 9.957092-6-1.588748+1 9.971992-6-1.611681+1 9.984712-6-1.682107+1 9.999199-6-1.874533+1 1.001204-5-2.157843+1 1.003654-5-2.952148+1 1.004333-5-3.234147+1 1.006242-5-2.470950+1 1.007368-5-1.985435+1 1.008697-5-1.449622+1 1.009194-5-1.239952+1 1.011266-5-5.399417+0 1.011549-5-4.534986+0 1.012045-5-3.210122+0 1.012417-5-2.319060+0 1.012974-5-1.102044+0 1.013532-5 4.048425-2 1.013834-5 6.196028-1 1.014363-5 1.453603+0 1.014760-5 1.976116+0 1.015354-5 2.608555+0 1.015949-5 3.034389+0 1.016554-5 3.317998+0 1.017007-5 3.470526+0 1.017687-5 3.544555+0 1.018027-5 3.490766+0 1.019575-5 2.675390+0 1.020180-5 2.271564+0 1.020482-5 2.005543+0 1.021086-5 1.241307+0 1.022144-5 1.704716-1 1.022673-5-4.051114-1 1.022937-5-7.323620-1 1.023201-5-1.138948+0 1.025619-5-4.217426+0 1.025921-5-4.655654+0 1.026450-5-5.283043+0 1.029849-5-8.877748+0 1.031253-5-1.088526+1 1.033644-5-1.298961+1 1.036813-5-1.489825+1 1.043078-5-1.739660+1 1.052301-5-1.964324+1 1.067217-5-2.172873+1 1.092700-5-2.354489+1 1.148230-5-2.509542+1 1.277217-5-2.597334+1 1.573501-5-2.644994+1 1.603813-5-2.604076+1 1.954864-5-2.671335+1 3.866744-5-2.970729+1 4.097640-5-3.122133+1 4.136564-5-3.103640+1 4.188185-5-2.885217+1 4.226400-5-2.679999+1 4.247662-5-2.753017+1 4.270410-5-3.067668+1 4.275875-5-3.164523+1 4.311283-5-2.567058+1 4.335241-5-2.344843+1 4.357445-5-2.293729+1 4.381279-5-2.375672+1 4.443976-5-2.652494+1 4.561323-5-2.824126+1 4.827958-5-3.003731+1 5.020370-5-2.963000+1 7.328245-5-3.299278+1 9.332543-5-3.233081+1 1.380680-4-2.773217+1 1.685856-4-2.345203+1 1.882005-4-2.175351+1 1.925839-4-2.198399+1 1.942943-4-2.074266+1 2.033133-4-2.020834+1 2.180834-4-1.833559+1 2.477525-4-1.581806+1 2.900681-4-1.332297+1 3.349654-4-1.149594+1 3.934838-4-9.993732+0 4.717175-4-8.848022+0 5.651882-4-8.222101+0 6.797080-4-8.026109+0 8.486918-4-8.389033+0 9.835049-4-9.149942+0 1.100067-3-1.029509+1 1.179705-3-1.159677+1 1.237741-3-1.316252+1 1.272380-3-1.471663+1 1.295198-3-1.645442+1 1.310052-3-1.856873+1 1.325075-3-2.118935+1 1.334135-3-2.149434+1 1.372675-3-1.876178+1 1.399263-3-1.514857+1 1.423776-3-1.312916+1 1.454046-3-1.158258+1 1.485436-3-1.064588+1 1.517409-3-1.043747+1 1.532266-3-9.758144+0 1.559262-3-8.333018+0 1.594043-3-7.186629+0 1.633280-3-6.227194+0 1.698745-3-5.032557+0 1.767274-3-4.096805+0 1.845082-3-3.282984+0 1.936088-3-2.551691+0 2.024813-3-2.001638+0 2.137962-3-1.463396+0 2.219474-3-1.159877+0 2.322820-3-8.556459-1 2.420017-3-6.333705-1 2.478097-3-5.272881-1 2.551966-3-4.091066-1 2.614674-3-3.218396-1 2.723711-3-2.029973-1 2.790134-3-1.409681-1 2.854450-3-9.240801-2 2.903144-3-6.097312-2 2.924258-3-4.824888-2 2.988875-3-1.595280-2 3.013492-3-5.148524-3 3.054921-3 1.141351-2 3.115588-3 3.241579-2 3.138193-3 3.986590-2 3.209631-3 5.657568-2 3.320856-3 7.576199-2 3.377285-3 8.163820-2 3.437337-3 8.503240-2 3.604749-3 8.811891-2 3.701219-3 8.311624-2 3.790967-3 7.420485-2 3.888921-3 6.210261-2 4.138806-3 2.299247-2 4.181100-3 1.580705-2 4.215827-3 9.288906-3 4.250475-3 2.337978-3 4.333861-3-1.425380-2 4.476489-3-4.501276-2 4.786301-3-1.145557-1 8.175230-3-9.518509-1 9.112861-3-1.225339+0 9.903452-3-1.522982+0 1.049826-2-1.839565+0 1.089786-2-2.151320+0 1.118183-2-2.480606+0 1.138582-2-2.839534+0 1.154021-2-3.289121+0 1.164131-2-3.816093+0 1.177880-2-4.750055+0 1.183168-2-4.847174+0 1.188613-2-4.663612+0 1.205663-2-3.402982+0 1.214698-2-2.950369+0 1.229383-2-2.480889+0 1.245338-2-2.128910+0 1.268659-2-1.758191+0 1.293975-2-1.460313+0 1.327777-2-1.162942+0 1.370086-2-8.874302-1 1.416598-2-6.599394-1 1.460952-2-4.876134-1 1.506903-2-3.469743-1 1.547946-2-2.452519-1 1.583951-2-1.707654-1 1.621810-2-1.038089-1 1.662709-2-4.192323-2 1.697480-2 2.675909-3 1.737215-2 4.733019-2 1.780820-2 8.966538-2 1.821000-2 1.230119-1 1.875534-2 1.630789-1 1.914738-2 1.862783-1 1.963793-2 2.109515-1 2.065895-2 2.489627-1 2.220914-2 2.831309-1 2.447846-2 3.048108-1 2.690476-2 3.038974-1 3.173451-2 2.757407-1 4.481804-2 1.729637-1 5.291450-2 1.228633-1 5.943697-2 9.061897-2 6.547354-2 6.578653-2 7.027697-2 4.915076-2 7.680665-2 2.984198-2 7.992339-2 2.172807-2 8.330338-2 1.364487-2 8.542738-2 8.956425-3 8.776056-2 4.111468-3 8.931166-2 9.829503-4 9.009347-2-5.132084-4 9.126467-2-2.733594-3 9.317446-2-6.193894-3 9.681696-2-1.240852-2 1.014903-1-1.961779-2 1.093489-1-3.017371-2 1.201400-1-4.208767-2 1.348205-1-5.468970-2 1.524492-1-6.601529-2 1.792027-1-7.808549-2 2.166263-1-8.886099-2 2.818383-1-9.936202-2 3.950884-1-1.075386-1 6.685071-1-1.135527-1 1.947381+0-1.165074-1 5.880996+0-1.168561-1 1.000000+1-1.168537-1 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.598309-5 1.041383-6 3.072417-5 1.067871-6 3.418464-5 1.107486-6 3.939399-5 1.177786-6 5.115085-5 1.201355-6 5.579545-5 1.252548-6 6.604028-5 1.291690-6 7.552729-5 1.351524-6 9.253025-5 1.373682-6 9.888867-5 1.416609-6 1.127483-4 1.460878-6 1.294782-4 1.520465-6 1.560158-4 1.553610-6 1.718274-4 1.621829-6 2.103479-4 1.652228-6 2.280251-4 1.716462-6 2.716576-4 1.757105-6 3.026489-4 1.824558-6 3.639338-4 1.868641-6 4.064017-4 1.938593-6 4.861566-4 1.987255-6 5.464752-4 2.059755-6 6.524446-4 2.113400-6 7.339387-4 2.188489-6 8.709798-4 2.247551-6 9.891522-4 2.325270-6 1.175881-3 2.390218-6 1.347030-3 2.541940-6 1.854684-3 2.703294-6 2.583085-3 2.874890-6 3.644631-3 3.057378-6 5.215944-3 3.237071-6 7.369010-3 3.405708-6 1.016212-2 3.486095-6 1.183788-2 3.639412-6 1.585662-2 3.712496-6 1.821025-2 3.851883-6 2.371144-2 3.918327-6 2.694597-2 4.047063-6 3.452479-2 4.167753-6 4.349199-2 4.280899-6 5.410858-2 4.386974-6 6.657693-2 4.486419-6 8.112841-2 4.579649-6 9.806179-2 4.667052-6 1.175780-1 4.748992-6 1.398832-1 4.826337-6 1.655202-1 4.897829-6 1.940998-1 4.970114-6 2.290261-1 5.028643-6 2.627396-1 5.087984-6 3.033005-1 5.143616-6 3.484828-1 5.202086-6 4.050770-1 5.244666-6 4.534733-1 5.290506-6 5.141005-1 5.333480-6 5.806958-1 5.375044-6 6.560348-1 5.411539-6 7.330103-1 5.446949-6 8.195261-1 5.480146-6 9.135029-1 5.511268-6 1.015368+0 5.540444-6 1.125562+0 5.567798-6 1.244498+0 5.593441-6 1.372543+0 5.624346-6 1.552927+0 5.640021-6 1.657556+0 5.661150-6 1.815528+0 5.680960-6 1.984581+0 5.699531-6 2.165304+0 5.716941-6 2.358258+0 5.733263-6 2.563974+0 5.748565-6 2.782970+0 5.762911-6 3.015797+0 5.789809-6 3.544294+0 5.813345-6 4.142490+0 5.833939-6 4.821496+0 5.851959-6 5.595070+0 5.868276-6 6.511114+0 5.881522-6 7.470842+0 5.893594-6 8.576314+0 5.904157-6 9.778182+0 5.913400-6 1.105349+1 5.921487-6 1.237423+1 5.928563-6 1.371115+1 5.940172-6 1.632805+1 5.956764-6 2.114311+1 5.979016-6 2.994920+1 5.987638-6 3.414615+1 5.992811-6 3.687459+1 6.000168-6 4.101556+1 6.007525-6 4.544053+1 6.022240-6 5.498695+1 6.024079-6 5.622950+1 6.036954-6 6.507274+1 6.042012-6 6.855381+1 6.051668-6 7.505608+1 6.056726-6 7.832329+1 6.061555-6 8.131095+1 6.066383-6 8.413911+1 6.072820-6 8.760861+1 6.079028-6 9.056732+1 6.084776-6 9.291545+1 6.089604-6 9.456446+1 6.095811-6 9.621254+1 6.104088-6 9.752190+1 6.110985-6 9.779538+1 6.113547-6 9.770291+1 6.120855-6 9.685866+1 6.127211-6 9.543412+1 6.132451-6 9.379219+1 6.139066-6 9.114836+1 6.144945-6 8.830248+1 6.155128-6 8.240717+1 6.161709-6 7.805560+1 6.166505-6 7.467274+1 6.172832-6 7.000070+1 6.177760-6 6.624087+1 6.184097-6 6.131588+1 6.190535-6 5.627868+1 6.197260-6 5.105851+1 6.198812-6 4.986790+1 6.206169-6 4.433407+1 6.212606-6 3.968705+1 6.214446-6 3.839978+1 6.221343-6 3.375473+1 6.227378-6 2.994856+1 6.228240-6 2.942579+1 6.242955-6 2.135896+1 6.248616-6 1.869559+1 6.253143-6 1.674180+1 6.257669-6 1.494102+1 6.264106-6 1.263518+1 6.270055-6 1.075872+1 6.276914-6 8.878963+0 6.282725-6 7.506392+0 6.290087-6 6.030706+0 6.297024-6 4.881239+0 6.315378-6 2.763169+0 6.318111-6 2.542178+0 6.323324-6 2.176439+0 6.328216-6 1.893634+0 6.336056-6 1.547213+0 6.337357-6 1.501224+0 6.342818-6 1.340237+0 6.372830-6 1.220178+0 6.376582-6 1.284439+0 6.383147-6 1.437506+0 6.388071-6 1.586743+0 6.391764-6 1.718496+0 6.396610-6 1.917872+0 6.405674-6 2.374227+0 6.418602-6 3.223332+0 6.426482-6 3.859856+0 6.432392-6 4.397076+0 6.434362-6 4.587448+0 6.450122-6 6.304434+0 6.452091-6 6.541685+0 6.465881-6 8.317788+0 6.471299-6 9.059136+0 6.481641-6 1.051099+1 6.487059-6 1.127631+1 6.493522-6 1.217880+1 6.499371-6 1.297323+1 6.505404-6 1.375782+1 6.511221-6 1.446869+1 6.517101-6 1.512957+1 6.522272-6 1.565400+1 6.528089-6 1.617095+1 6.529905-6 1.631505+1 6.537293-6 1.680926+1 6.543641-6 1.710797+1 6.547916-6 1.723965+1 6.555744-6 1.733080+1 6.562206-6 1.725800+1 6.567283-6 1.710766+1 6.573692-6 1.680436+1 6.579673-6 1.641262+1 6.584904-6 1.598998+1 6.591960-6 1.531330+1 6.596761-6 1.479087+1 6.601555-6 1.422625+1 6.607719-6 1.344772+1 6.611413-6 1.295830+1 6.616692-6 1.223644+1 6.621782-6 1.152304+1 6.627419-6 1.072290+1 6.632590-6 9.987967+0 6.639239-6 9.054068+0 6.647119-6 7.981316+0 6.654014-6 7.088011+0 6.655984-6 6.842256+0 6.663371-6 5.963412+0 6.670758-6 5.158495+0 6.687503-6 3.633116+0 6.706218-6 2.419311+0 6.713051-6 2.093780+0 6.719686-6 1.830405+0 6.725120-6 1.649511+0 6.729394-6 1.527119+0 6.733601-6 1.422075+0 6.737742-6 1.332210+0 6.741819-6 1.255538+0 6.747815-6 1.161364+0 6.753672-6 1.087501+0 6.761270-6 1.012935+0 6.770439-6 9.464897-1 6.775762-6 9.161517-1 6.785630-6 8.696824-1 6.808021-6 7.795862-1 6.819813-6 7.286997-1 6.830879-6 6.759762-1 6.841429-6 6.215952-1 6.851320-6 5.680604-1 6.860592-6 5.168238-1 6.869285-6 4.688949-1 6.885585-6 3.822647-1 6.899847-6 3.127591-1 6.925997-6 2.063897-1 6.943525-6 1.518501-1 6.971603-6 9.179816-2 6.999682-6 6.265427-2 7.015379-6 5.877368-2 7.022071-6 5.971163-2 7.034139-6 6.524819-2 7.051368-6 8.163667-2 7.056639-6 8.863732-2 7.068597-6 1.079909-1 7.085826-6 1.444464-1 7.091206-6 1.579436-1 7.108490-6 2.083083-1 7.143058-6 3.430787-1 7.160342-6 4.290835-1 7.177626-6 5.289007-1 7.194910-6 6.438556-1 7.212194-6 7.755315-1 7.229478-6 9.258206-1 7.264046-6 1.291759+0 7.281330-6 1.513385+0 7.309801-6 1.947661+0 7.344258-6 2.617796+0 7.396088-6 4.053838+0 7.424427-6 5.165012+0 7.446826-6 6.289954+0 7.465155-6 7.435781+0 7.483485-6 8.859569+0 7.501814-6 1.066561+1 7.520144-6 1.300484+1 7.538473-6 1.609007+1 7.554547-6 1.963556+1 7.570621-6 2.422346+1 7.582041-6 2.827722+1 7.593461-6 3.312485+1 7.639089-6 6.291603+1 7.652994-6 7.604897+1 7.662369-6 8.609647+1 7.680267-6 1.079381+2 7.688841-6 1.195737+2 7.707673-6 1.473834+2 7.710027-6 1.510368+2 7.726506-6 1.772820+2 7.732979-6 1.877418+2 7.747302-6 2.105940+2 7.754205-6 2.212244+2 7.759842-6 2.296008+2 7.764071-6 2.356575+2 7.773584-6 2.484130+2 7.776755-6 2.523526+2 7.783939-6 2.606069+2 7.789327-6 2.661240+2 7.796398-6 2.723924+2 7.804354-6 2.780033+2 7.813079-6 2.822578+2 7.821256-6 2.843319+2 7.824534-6 2.846268+2 7.833888-6 2.837531+2 7.842548-6 2.806817+2 7.846248-6 2.787172+2 7.855358-6 2.722705+2 7.863770-6 2.643923+2 7.867929-6 2.598627+2 7.882372-6 2.412540+2 7.890901-6 2.284936+2 7.897118-6 2.185458+2 7.902898-6 2.089055+2 7.910108-6 1.964845+2 7.915629-6 1.867702+2 7.923518-6 1.727309+2 7.931760-6 1.580600+2 7.943078-6 1.382753+2 7.951317-6 1.243774+2 7.954848-6 1.185962+2 7.963088-6 1.055908+2 7.971327-6 9.335027+1 7.981920-6 7.886856+1 7.990159-6 6.865011+1 7.996927-6 6.096362+1 8.004651-6 5.297687+1 8.014789-6 4.375294+1 8.028232-6 3.364911+1 8.044032-6 2.465494+1 8.053418-6 2.065374+1 8.055802-6 1.978496+1 8.066232-6 1.664062+1 8.070143-6 1.572312+1 8.072490-6 1.523761+1 8.075990-6 1.460124+1 8.079764-6 1.402930+1 8.084285-6 1.349459+1 8.091561-6 1.296176+1 8.093069-6 1.289985+1 8.095896-6 1.282709+1 8.100844-6 1.283184+1 8.108265-6 1.313983+1 8.111976-6 1.342265+1 8.115687-6 1.378746+1 8.117439-6 1.398739+1 8.129704-6 1.585592+1 8.136807-6 1.728651+1 8.163091-6 2.440567+1 8.175321-6 2.845473+1 8.184084-6 3.153056+1 8.190923-6 3.398841+1 8.196509-6 3.601009+1 8.203840-6 3.865331+1 8.208552-6 4.033020+1 8.213265-6 4.197762+1 8.218687-6 4.382374+1 8.225804-6 4.614302+1 8.233810-6 4.857557+1 8.236197-6 4.925856+1 8.245514-6 5.171567+1 8.253959-6 5.362408+1 8.258913-6 5.459129+1 8.268786-6 5.616557+1 8.277927-6 5.719725+1 8.285021-6 5.772004+1 8.294842-6 5.806505+1 8.304746-6 5.801190+1 8.314203-6 5.764663+1 8.329343-6 5.660737+1 8.358465-6 5.417577+1 8.372561-6 5.336312+1 8.377338-6 5.319899+1 8.387709-6 5.307703+1 8.397614-6 5.328537+1 8.404161-6 5.360208+1 8.416331-6 5.455230+1 8.427496-6 5.578463+1 8.464413-6 6.097030+1 8.477734-6 6.257979+1 8.487229-6 6.341697+1 8.497821-6 6.393840+1 8.502574-6 6.400830+1 8.511994-6 6.381490+1 8.521002-6 6.319342+1 8.526897-6 6.254901+1 8.535338-6 6.130019+1 8.544385-6 5.954956+1 8.559611-6 5.573368+1 8.568345-6 5.312996+1 8.575981-6 5.066108+1 8.585091-6 4.754215+1 8.594513-6 4.419534+1 8.601004-6 4.186260+1 8.610279-6 3.855201+1 8.622205-6 3.444734+1 8.643017-6 2.809284+1 8.651969-6 2.580178+1 8.660921-6 2.382942+1 8.681383-6 2.063734+1 8.688112-6 2.000668+1 8.707352-6 1.935961+1 8.708725-6 1.937798+1 8.719279-6 1.979746+1 8.723909-6 2.013322+1 8.730027-6 2.071388+1 8.737829-6 2.167238+1 8.746243-6 2.296590+1 8.753962-6 2.437473+1 8.764159-6 2.653508+1 8.795510-6 3.489201+1 8.809475-6 3.918156+1 8.817657-6 4.177456+1 8.828490-6 4.523333+1 8.838500-6 4.839712+1 8.846706-6 5.092454+1 8.858637-6 5.442310+1 8.869310-6 5.730667+1 8.874683-6 5.864966+1 8.885128-6 6.101760+1 8.901101-6 6.393221+1 8.912464-6 6.542710+1 8.921683-6 6.626498+1 8.925464-6 6.650971+1 8.942611-6 6.690223+1 8.954442-6 6.651153+1 8.966640-6 6.559041+1 8.977025-6 6.443775+1 8.989982-6 6.260049+1 8.998879-6 6.113266+1 9.011596-6 5.882598+1 9.034440-6 5.438824+1 9.057988-6 4.997032+1 9.075490-6 4.712602+1 9.088617-6 4.535745+1 9.098817-6 4.423350+1 9.112622-6 4.308321+1 9.124956-6 4.241961+1 9.133818-6 4.214801+1 9.151823-6 4.207841+1 9.170509-6 4.257649+1 9.188617-6 4.344922+1 9.236128-6 4.630463+1 9.259645-6 4.743637+1 9.268674-6 4.776398+1 9.287587-6 4.824025+1 9.307239-6 4.845235+1 9.336431-6 4.837073+1 9.399114-6 4.779818+1 9.432158-6 4.781024+1 9.468956-6 4.817178+1 9.570755-6 4.978105+1 9.654094-6 5.069915+1 9.788091-6 5.175136+1 9.879833-6 5.207205+1 1.001722-5 5.226268+1 1.016742-5 5.295504+1 1.035911-5 5.421046+1 1.045235-5 5.493255+1 1.049378-5 5.516782+1 1.053101-5 5.523687+1 1.058482-5 5.498514+1 1.068677-5 5.377046+1 1.071303-5 5.366548+1 1.073611-5 5.385521+1 1.075639-5 5.436783+1 1.077422-5 5.520010+1 1.078524-5 5.594598+1 1.079747-5 5.702827+1 1.081074-5 5.856009+1 1.082235-5 6.025941+1 1.083251-5 6.206279+1 1.084140-5 6.391247+1 1.084918-5 6.575933+1 1.086194-5 6.929695+1 1.087236-5 7.269812+1 1.088604-5 7.793013+1 1.090197-5 8.522384+1 1.091395-5 9.161280+1 1.092220-5 9.649090+1 1.095059-5 1.162718+2 1.098749-5 1.485492+2 1.101433-5 1.755221+2 1.102020-5 1.816460+2 1.104117-5 2.036493+2 1.105584-5 2.187397+2 1.106800-5 2.307138+2 1.107828-5 2.402666+2 1.108818-5 2.488485+2 1.109724-5 2.560450+2 1.110700-5 2.630128+2 1.112000-5 2.708463+2 1.113573-5 2.778758+2 1.114763-5 2.812830+2 1.116400-5 2.831928+2 1.117705-5 2.824423+2 1.119114-5 2.795085+2 1.120530-5 2.745922+2 1.121471-5 2.704101+2 1.123252-5 2.610262+2 1.127580-5 2.365412+2 1.128858-5 2.308838+2 1.130062-5 2.270321+2 1.130758-5 2.256258+2 1.131813-5 2.248457+2 1.132806-5 2.257987+2 1.133507-5 2.275627+2 1.136024-5 2.422888+2 1.136454-5 2.462131+2 1.137587-5 2.586642+2 1.138543-5 2.715784+2 1.141202-5 3.190995+2 1.145349-5 4.240656+2 1.147279-5 4.825180+2 1.148441-5 5.194130+2 1.149915-5 5.670797+2 1.151154-5 6.070428+2 1.152130-5 6.379353+2 1.153575-5 6.819131+2 1.154895-5 7.193636+2 1.156581-5 7.620291+2 1.157948-5 7.913916+2 1.158594-5 8.034151+2 1.159923-5 8.240595+2 1.161171-5 8.381521+2 1.161975-5 8.443850+2 1.163125-5 8.493652+2 1.164081-5 8.499583+2 1.164635-5 8.488411+2 1.166471-5 8.376889+2 1.167798-5 8.228666+2 1.169085-5 8.035667+2 1.170501-5 7.773352+2 1.171873-5 7.476370+2 1.173093-5 7.183371+2 1.174662-5 6.775923+2 1.176056-5 6.393623+2 1.177799-5 5.901847+2 1.179628-5 5.383583+2 1.180238-5 5.212925+2 1.183375-5 4.373574+2 1.187906-5 3.338392+2 1.191245-5 2.739910+2 1.193350-5 2.433969+2 1.194400-5 2.300624+2 1.195447-5 2.179400+2 1.197538-5 1.969946+2 1.199620-5 1.799329+2 1.202285-5 1.626760+2 1.203761-5 1.549338+2 1.205819-5 1.458778+2 1.208669-5 1.359890+2 1.211945-5 1.273966+2 1.215997-5 1.195252+2 1.220018-5 1.136617+2 1.224007-5 1.090901+2 1.228800-5 1.047033+2 1.233602-5 1.011552+2 1.239655-5 9.753460+1 1.247297-5 9.392348+1 1.254849-5 9.109869+1 1.262283-5 8.883813+1 1.269601-5 8.698800+1 1.276805-5 8.544599+1 1.283896-5 8.414173+1 1.297748-5 8.204732+1 1.315050-5 7.998638+1 1.324381-5 7.906117+1 1.350812-5 7.693435+1 1.372833-5 7.549149+1 1.441832-5 7.193717+1 1.515906-5 6.876165+1 1.640699-5 6.368923+1 1.698356-5 6.141395+1 1.764720-5 5.878990+1 1.815838-5 5.655998+1 1.835043-5 5.561648+1 1.846341-5 5.523915+1 1.853110-5 5.517707+1 1.860444-5 5.528670+1 1.884727-5 5.633349+1 1.890448-5 5.644982+1 1.900253-5 5.634045+1 1.907310-5 5.603894+1 1.946937-5 5.353671+1 1.961278-5 5.290875+1 1.989960-5 5.212076+1 2.020053-5 5.131750+1 2.540973-5 3.857320+1 2.980255-5 3.164763+1 3.276800-5 2.809595+1 3.531195-5 2.544553+1 3.768959-5 2.322040+1 4.013413-5 2.110093+1 4.135828-5 2.007465+1 4.238445-5 1.920823+1 4.359665-5 1.817384+1 4.492791-5 1.700129+1 4.637137-5 1.566514+1 4.773487-5 1.429384+1 4.878730-5 1.310117+1 4.944594-5 1.227161+1 5.005891-5 1.141725+1 5.040138-5 1.088929+1 5.080000-5 1.021045+1 5.111385-5 9.614031+0 5.148799-5 8.810015+0 5.172275-5 8.241391+0 5.197491-5 7.573745+0 5.237614-5 6.522345+0 5.251559-5 6.268444+0 5.263610-5 6.167572+0 5.276435-5 6.242176+0 5.286462-5 6.475155+0 5.295146-5 6.829493+0 5.296580-5 6.903224+0 5.303017-5 7.291541+0 5.308900-5 7.733304+0 5.313851-5 8.173232+0 5.320376-5 8.853025+0 5.326471-5 9.594711+0 5.335438-5 1.087917+1 5.363994-5 1.651474+1 5.375574-5 1.943087+1 5.379838-5 2.058575+1 5.389630-5 2.338697+1 5.394695-5 2.490882+1 5.404760-5 2.805833+1 5.410806-5 3.001589+1 5.419440-5 3.287300+1 5.428114-5 3.578619+1 5.437223-5 3.884873+1 5.444209-5 4.116818+1 5.453751-5 4.424164+1 5.463457-5 4.718585+1 5.467559-5 4.835460+1 5.481102-5 5.179268+1 5.487331-5 5.311335+1 5.497225-5 5.481049+1 5.503597-5 5.561844+1 5.508691-5 5.609392+1 5.515845-5 5.649828+1 5.523083-5 5.659138+1 5.531211-5 5.632236+1 5.535090-5 5.605922+1 5.540909-5 5.550921+1 5.546728-5 5.478365+1 5.556650-5 5.318330+1 5.559957-5 5.255982+1 5.568592-5 5.075439+1 5.577228-5 4.874164+1 5.585897-5 4.657529+1 5.590561-5 4.537094+1 5.599645-5 4.298841+1 5.617296-5 3.840655+1 5.650564-5 3.083736+1 5.663897-5 2.837146+1 5.683898-5 2.530067+1 5.691281-5 2.434238+1 5.705585-5 2.272007+1 5.718995-5 2.144147+1 5.743352-5 1.958385+1 5.770986-5 1.798384+1 5.801707-5 1.659645+1 5.831316-5 1.549600+1 5.888831-5 1.372100+1 5.978430-5 1.128265+1 5.993002-5 1.088142+1 6.024544-5 1.001234+1 6.054201-5 9.250119+0 6.069029-5 8.921011+0 6.083858-5 8.646127+0 6.098687-5 8.438357+0 6.103684-5 8.385144+0 6.118674-5 8.278882+0 6.124799-5 8.258539+0 6.133986-5 8.252267+0 6.143173-5 8.273328+0 6.158271-5 8.359772+0 6.174495-5 8.508419+0 6.225443-5 9.114798+0 6.261667-5 9.464194+0 6.277253-5 9.561805+0 6.289115-5 9.611250+0 6.308862-5 9.644882+0 6.322288-5 9.634496+0 6.337414-5 9.594327+0 6.366110-5 9.455862+0 6.460712-5 8.868675+0 6.566692-5 8.322161+0 6.683439-5 7.717324+0 6.770000-5 7.256703+0 6.850000-5 6.825505+0 6.920000-5 6.449889+0 7.079458-5 5.642049+0 7.244360-5 4.920405+0 7.287180-5 4.758095+0 7.372800-5 4.473101+0 7.444827-5 4.281394+0 7.540000-5 4.103732+0 7.646651-5 4.015935+0 7.744538-5 4.051844+0 7.842992-5 4.213599+0 7.962013-5 4.584761+0 8.087013-5 5.185939+0 8.154541-5 5.607674+0 8.275607-5 6.536014+0 8.586535-5 9.856002+0 8.748000-5 1.205960+1 8.850000-5 1.361465+1 8.925000-5 1.482516+1 9.052020-5 1.697908+1 9.150000-5 1.872343+1 9.300000-5 2.151135+1 9.375000-5 2.294818+1 9.486800-5 2.513997+1 9.580000-5 2.700450+1 9.660509-5 2.863612+1 9.830400-5 3.213629+1 9.980000-5 3.528839+1 1.011647-4 3.819191+1 1.020000-4 3.998418+1 1.036800-4 4.362803+1 1.047129-4 4.589360+1 1.066964-4 5.031197+1 1.087903-4 5.507143+1 1.122018-4 6.303331+1 1.161449-4 7.257982+1 1.190000-4 7.971036+1 1.205730-4 8.371848+1 1.244515-4 9.379248+1 1.291920-4 1.063026+2 1.333521-4 1.172609+2 1.380384-4 1.293276+2 1.421262-4 1.393470+2 1.468848-4 1.503031+2 1.502770-4 1.573972+2 1.527918-4 1.622582+2 1.566347-4 1.689866+2 1.579033-4 1.724269+2 1.592764-4 1.778550+2 1.605805-4 1.834370+2 1.618166-4 1.878913+2 1.636713-4 1.942495+2 1.668226-4 2.075022+2 1.678804-4 2.111615+2 1.689997-4 2.143676+2 1.758579-4 2.312452+2 1.810000-4 2.426424+2 1.865237-4 2.536154+2 1.924782-4 2.645277+2 1.986624-4 2.749274+2 2.041269-4 2.829524+2 2.077303-4 2.870436+2 2.099023-4 2.888882+2 2.110991-4 2.905566+2 2.117310-4 2.921389+2 2.127119-4 2.962414+2 2.133388-4 3.001643+2 2.138932-4 3.044917+2 2.158303-4 3.227496+2 2.163500-4 3.270673+2 2.169347-4 3.308744+2 2.175208-4 3.333041+2 2.181039-4 3.342702+2 2.186473-4 3.339895+2 2.192616-4 3.326243+2 2.206923-4 3.277815+2 2.217566-4 3.252111+2 2.224877-4 3.246704+2 2.233559-4 3.253358+2 2.246174-4 3.280983+2 2.263862-4 3.331703+2 2.291835-4 3.398910+2 2.392997-4 3.572894+2 2.502130-4 3.729868+2 2.622496-4 3.881075+2 2.755341-4 4.019134+2 2.900681-4 4.152471+2 3.019952-4 4.250196+2 3.180534-4 4.366116+2 3.330428-4 4.457943+2 3.517629-4 4.553724+2 3.769207-4 4.652640+2 4.174697-4 4.756897+2 4.597270-4 4.826429+2 5.020825-4 4.861685+2 5.324146-4 4.870157+2 5.991009-4 4.853518+2 6.358368-4 4.828662+2 6.732653-4 4.789172+2 7.513394-4 4.682408+2 7.944031-4 4.616415+2 8.423038-4 4.535085+2 8.912510-4 4.442865+2 9.400572-4 4.340866+2 9.873348-4 4.230577+2 1.041118-3 4.089932+2 1.093507-3 3.926469+2 1.142301-3 3.749918+2 1.181175-3 3.593878+2 1.216420-3 3.436872+2 1.243954-3 3.299968+2 1.272308-3 3.141818+2 1.293799-3 3.006265+2 1.314468-3 2.859612+2 1.332250-3 2.716938+2 1.346053-3 2.591651+2 1.360037-3 2.447574+2 1.371474-3 2.312273+2 1.383023-3 2.152121+2 1.392755-3 1.989816+2 1.400132-3 1.845284+2 1.404394-3 1.753538+2 1.408183-3 1.668445+2 1.419296-3 1.427683+2 1.422494-3 1.371872+2 1.425543-3 1.329384+2 1.427046-3 1.313083+2 1.428508-3 1.300484+2 1.429931-3 1.291495+2 1.431510-3 1.285462+2 1.433415-3 1.283874+2 1.435783-3 1.290688+2 1.438119-3 1.306805+2 1.440573-3 1.333300+2 1.442360-3 1.358286+2 1.444718-3 1.397791+2 1.448759-3 1.479791+2 1.461938-3 1.812161+2 1.466692-3 1.941118+2 1.481683-3 2.383054+2 1.489988-3 2.659034+2 1.494156-3 2.801148+2 1.498121-3 2.934572+2 1.502641-3 3.080946+2 1.507481-3 3.227260+2 1.514207-3 3.408152+2 1.520823-3 3.559585+2 1.528129-3 3.699421+2 1.536633-3 3.833510+2 1.547621-3 3.974023+2 1.558705-3 4.089210+2 1.570632-3 4.190503+2 1.583277-3 4.277015+2 1.620538-3 4.479858+2 1.632648-3 4.569444+2 1.643063-3 4.671648+2 1.665097-3 4.941570+2 1.674086-3 5.047938+2 1.682822-3 5.139179+2 1.694333-3 5.240260+2 1.705973-3 5.324686+2 1.720744-3 5.414405+2 1.736722-3 5.497268+2 1.774384-3 5.656356+2 1.817411-3 5.794729+2 1.871490-3 5.923789+2 1.943645-3 6.045719+2 2.018530-3 6.122837+2 2.119771-3 6.178684+2 2.250835-3 6.199142+2 2.378397-3 6.174437+2 2.567161-3 6.089775+2 2.701045-3 6.004451+2 2.985383-3 5.792244+2 3.300443-3 5.535495+2 3.669687-3 5.235849+2 4.047821-3 4.937548+2 4.538110-3 4.579705+2 4.980416-3 4.281101+2 5.633972-3 3.875794+2 6.022209-3 3.659403+2 6.453632-3 3.433282+2 6.950515-3 3.192626+2 7.507969-3 2.942960+2 8.031544-3 2.727122+2 8.640151-3 2.497131+2 9.309488-3 2.265392+2 9.670777-3 2.148649+2 1.025738-2 1.968657+2 1.072098-2 1.832431+2 1.109728-2 1.723052+2 1.142335-2 1.626464+2 1.168154-2 1.545871+2 1.187472-2 1.480373+2 1.202582-2 1.423021+2 1.214252-2 1.371700+2 1.220183-2 1.341538+2 1.225305-2 1.312247+2 1.231092-2 1.274785+2 1.239200-2 1.215351+2 1.247730-2 1.153360+2 1.252713-2 1.125569+2 1.256544-2 1.112129+2 1.260387-2 1.107200+2 1.263749-2 1.110282+2 1.267812-2 1.122587+2 1.272444-2 1.145769+2 1.286141-2 1.234822+2 1.292801-2 1.272066+2 1.300011-2 1.302852+2 1.308111-2 1.327360+2 1.313967-2 1.340287+2 1.325031-2 1.357560+2 1.342255-2 1.373048+2 1.360541-2 1.380577+2 1.382430-2 1.381886+2 1.418725-2 1.372888+2 1.462518-2 1.351627+2 1.523910-2 1.312964+2 1.587466-2 1.267626+2 1.687682-2 1.192851+2 1.815892-2 1.099992+2 1.951567-2 1.010159+2 2.145599-2 8.969064+1 2.324563-2 8.072817+1 2.558293-2 7.075273+1 2.770628-2 6.304785+1 3.094375-2 5.340675+1 3.539313-2 4.336316+1 3.923925-2 3.671787+1 4.675806-2 2.729701+1 5.537055-2 2.046635+1 6.821926-2 1.420634+1 8.934110-2 8.820678+0 1.070795-1 6.370104+0 1.290606-1 4.519514+0 1.623668-1 2.937485+0 2.115754-1 1.773323+0 2.951209-1 9.324349-1 4.143275-1 4.806114-1 6.199316-1 2.170725-1 1.120601+0 6.691010-2 3.384160+0 7.358911-3 1.022000+1 8.071651-4 3.086391+1 8.850723-5 9.320751+1 9.704665-6 2.814822+2 1.064096-6 8.500626+2 1.166758-7 3.162278+3 8.431067-9 1.000000+4 8.43107-10 3.162278+4 8.43107-11 1.000000+5 8.43107-12 1 34000 7 7 7.896000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 8.270200-7 1.258900-6 1.310700-6 1.584900-6 2.077400-6 1.995300-6 3.292400-6 2.511900-6 5.218100-6 3.162300-6 8.270100-6 3.981100-6 1.310700-5 5.011900-6 2.077300-5 6.309600-6 3.292300-5 7.943300-6 5.218000-5 1.000000-5 8.269800-5 1.258900-5 1.310700-4 1.584900-5 2.077200-4 1.995300-5 3.292100-4 2.511900-5 5.217500-4 3.162300-5 8.268900-4 3.981100-5 1.310500-3 5.011900-5 2.076800-3 6.309600-5 3.291300-3 7.943300-5 5.212800-3 1.000000-4 8.254600-3 1.258900-4 1.307300-2 1.584900-4 2.068200-2 1.995300-4 3.270400-2 2.511900-4 5.163600-2 3.162300-4 8.136000-2 3.981100-4 1.277600-1 5.011900-4 1.996100-1 6.309600-4 3.089700-1 7.943300-4 4.719000-1 1.000000-3 7.077200-1 1.258900-3 1.035900+0 1.584900-3 1.472000+0 1.995300-3 2.022400+0 2.511900-3 2.691900+0 3.162300-3 3.479900+0 3.981100-3 4.377000+0 5.011900-3 5.373300+0 6.309600-3 6.477800+0 7.943300-3 7.689400+0 1.000000-2 9.014300+0 1.258900-2 1.039300+1 1.584900-2 1.175800+1 1.995300-2 1.300900+1 2.511900-2 1.409000+1 3.162300-2 1.496200+1 3.981100-2 1.559500+1 5.011900-2 1.581200+1 6.309600-2 1.603100+1 7.943300-2 1.587000+1 1.000000-1 1.549700+1 1.258900-1 1.494000+1 1.584900-1 1.423200+1 1.995300-1 1.341200+1 2.511900-1 1.252400+1 3.162300-1 1.159700+1 3.981100-1 1.066200+1 5.011900-1 9.739100+0 6.309600-1 8.841400+0 7.943300-1 7.977100+0 1.000000+0 7.157100+0 1.258900+0 6.380200+0 1.584900+0 5.652100+0 1.995300+0 4.975300+0 2.511900+0 4.352100+0 3.162300+0 3.783700+0 3.981100+0 3.270200+0 5.011900+0 2.810800+0 6.309600+0 2.403400+0 7.943300+0 2.045100+0 1.000000+1 1.732600+0 1.258900+1 1.461900+0 1.584900+1 1.229100+0 1.995300+1 1.029900+0 2.511900+1 8.603700-1 3.162300+1 7.168300-1 3.981100+1 5.957800-1 5.011900+1 4.940800-1 6.309600+1 4.089200-1 7.943300+1 3.378200-1 1.000000+2 2.786200-1 1.258900+2 2.294500-1 1.584900+2 1.886900-1 1.995300+2 1.549800-1 2.511900+2 1.271400-1 3.162300+2 1.041900-1 3.981100+2 8.529600-2 5.011900+2 6.976200-2 6.309600+2 5.700800-2 7.943300+2 4.654800-2 1.000000+3 3.797700-2 1.258900+3 3.096200-2 1.584900+3 2.522600-2 1.995300+3 2.053900-2 2.511900+3 1.671300-2 3.162300+3 1.359200-2 3.981100+3 1.104700-2 5.011900+3 8.974600-3 6.309600+3 7.287100-3 7.943300+3 5.914000-3 1.000000+4 4.797500-3 1.258900+4 3.890100-3 1.584900+4 3.152900-3 1.995300+4 2.554500-3 2.511900+4 2.068800-3 3.162300+4 1.674800-3 3.981100+4 1.355400-3 5.011900+4 1.096500-3 6.309600+4 8.868100-4 7.943300+4 7.169600-4 1.000000+5 5.794600-4 1 34000 7 7 7.896000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159546-4 3.981072-4 3.976748-4 5.011872-4 5.005033-4 6.309573-4 6.298746-4 7.943282-4 7.926255-4 1.000000-3 9.973161-4 1.258925-3 1.254715-3 1.584893-3 1.578322-3 1.995262-3 1.985006-3 2.511886-3 2.495946-3 3.162278-3 3.137494-3 3.981072-3 3.942571-3 5.011872-3 4.951998-3 6.309573-3 6.216579-3 7.943282-3 7.798296-3 1.000000-2 9.774712-3 1.258925-2 1.223952-2 1.584893-2 1.530842-2 1.995262-2 1.912205-2 2.511886-2 2.384911-2 3.162278-2 2.968982-2 3.981072-2 3.688280-2 5.011872-2 4.570577-2 6.309573-2 5.650272-2 7.943282-2 6.963570-2 1.000000-1 8.553968-2 1.258925-1 1.047254-1 1.584893-1 1.277849-1 1.995262-1 1.553972-1 2.511886-1 1.883299-1 3.162278-1 2.274908-1 3.981072-1 2.738823-1 5.011872-1 3.286986-1 6.309573-1 3.933376-1 7.943282-1 4.694578-1 1.000000+0 5.588334-1 1.258925+0 6.641776-1 1.584893+0 7.885387-1 1.995262+0 9.356611-1 2.511886+0 1.110188+0 3.162278+0 1.317908+0 3.981072+0 1.565853+0 5.011872+0 1.862619+0 6.309573+0 2.218795+0 7.943282+0 2.647276+0 1.000000+1 3.163879+0 1.258925+1 3.787900+0 1.584893+1 4.542994+0 1.995262+1 5.458157+0 2.511886+1 6.569002+0 3.162278+1 7.918917+0 3.981072+1 9.561375+0 5.011872+1 1.156215+1 6.309573+1 1.400177+1 7.943282+1 1.697930+1 1.000000+2 2.061675+1 1.258925+2 2.506402+1 1.584893+2 3.050566+1 1.995262+2 3.716888+1 2.511886+2 4.533402+1 3.162278+2 5.534659+1 3.981072+2 6.763105+1 5.011872+2 8.271424+1 6.309573+2 1.012438+2 7.943282+2 1.240199+2 1.000000+3 1.520292+2 1.258925+3 1.864928+2 1.584893+3 2.289181+2 1.995262+3 2.811788+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090663-8 7.943282-5 1.728209-8 1.000000-4 2.738592-8 1.258925-4 4.339957-8 1.584893-4 6.875707-8 1.995262-4 1.089339-7 2.511886-4 1.725417-7 3.162278-4 2.731876-7 3.981072-4 4.323838-7 5.011872-4 6.838994-7 6.309573-4 1.082699-6 7.943282-4 1.702784-6 1.000000-3 2.683905-6 1.258925-3 4.210377-6 1.584893-3 6.571141-6 1.995262-3 1.025626-5 2.511886-3 1.593995-5 3.162278-3 2.478324-5 3.981072-3 3.850116-5 5.011872-3 5.987483-5 6.309573-3 9.299465-5 7.943282-3 1.449864-4 1.000000-2 2.252882-4 1.258925-2 3.497383-4 1.584893-2 5.405115-4 1.995262-2 8.305738-4 2.511886-2 1.269757-3 3.162278-2 1.932961-3 3.981072-2 2.927918-3 5.011872-2 4.412955-3 6.309573-2 6.593011-3 7.943282-2 9.797123-3 1.000000-1 1.446032-2 1.258925-1 2.116712-2 1.584893-1 3.070440-2 1.995262-1 4.412901-2 2.511886-1 6.285875-2 3.162278-1 8.873696-2 3.981072-1 1.242249-1 5.011872-1 1.724887-1 6.309573-1 2.376197-1 7.943282-1 3.248705-1 1.000000+0 4.411666-1 1.258925+0 5.947479-1 1.584893+0 7.963545-1 1.995262+0 1.059601+0 2.511886+0 1.401698+0 3.162278+0 1.844369+0 3.981072+0 2.415218+0 5.011872+0 3.149253+0 6.309573+0 4.090778+0 7.943282+0 5.296007+0 1.000000+1 6.836121+0 1.258925+1 8.801354+0 1.584893+1 1.130594+1 1.995262+1 1.449447+1 2.511886+1 1.854986+1 3.162278+1 2.370386+1 3.981072+1 3.024934+1 5.011872+1 3.855658+1 6.309573+1 4.909396+1 7.943282+1 6.245352+1 1.000000+2 7.938325+1 1.258925+2 1.008285+2 1.584893+2 1.279837+2 1.995262+2 1.623574+2 2.511886+2 2.058546+2 3.162278+2 2.608812+2 3.981072+2 3.304761+2 5.011872+2 4.184730+2 6.309573+2 5.297135+2 7.943282+2 6.703083+2 1.000000+3 8.479708+2 1.258925+3 1.072433+3 1.584893+3 1.355975+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 9.400000-6 4.145205+7 9.700000-6 4.105632+7 9.820000-6 4.080057+7 9.820000-6 6.071585+7 1.000000-5 6.031760+7 1.023293-5 5.955718+7 1.035142-5 5.908989+7 1.060000-5 5.804386+7 1.096478-5 5.615343+7 1.135011-5 5.386319+7 1.165000-5 5.190550+7 1.174898-5 5.125351+7 1.202264-5 4.935571+7 1.216186-5 4.838987+7 1.244515-5 4.636691+7 1.258925-5 4.534605+7 1.290000-5 4.311806+7 1.303167-5 4.218931+7 1.333521-5 4.003740+7 1.350000-5 3.889891+7 1.380384-5 3.681384+7 1.400000-5 3.551364+7 1.428894-5 3.363443+7 1.445440-5 3.259342+7 1.480000-5 3.047953+7 1.500000-5 2.931531+7 1.531087-5 2.755683+7 1.566751-5 2.567249+7 1.590000-5 2.449412+7 1.640590-5 2.212228+7 1.659587-5 2.128439+7 1.717908-5 1.891728+7 1.737801-5 1.816987+7 1.800000-5 1.603232+7 1.830000-5 1.509559+7 1.905461-5 1.300356+7 1.927525-5 1.245179+7 2.018366-5 1.044897+7 2.041738-5 9.993758+6 2.099000-5 8.969749+6 2.099000-5 9.036301+6 2.113489-5 8.792278+6 2.135000-5 8.445177+6 2.155000-5 8.137915+6 2.162719-5 8.023103+6 2.177000-5 7.813335+6 2.187762-5 7.659789+6 2.192000-5 7.599907+6 2.213095-5 7.310469+6 2.227000-5 7.127311+6 2.242000-5 6.936219+6 2.257000-5 6.751606+6 2.272000-5 6.573214+6 2.290868-5 6.357273+6 2.317395-5 6.068773+6 2.350000-5 5.736740+6 2.365000-5 5.591822+6 2.371374-5 5.531672+6 2.377000-5 5.478627+6 2.388000-5 5.376795+6 2.398833-5 5.278874+6 2.400000-5 5.268465+6 2.407000-5 5.206187+6 2.415000-5 5.136169+6 2.423000-5 5.067357+6 2.431000-5 4.999728+6 2.438000-5 4.941503+6 2.446000-5 4.876026+6 2.452000-5 4.827652+6 2.460000-5 4.764111+6 2.467000-5 4.709397+6 2.473000-5 4.663145+6 2.481000-5 4.602384+6 2.489000-5 4.542645+6 2.496000-5 4.491194+6 2.505000-5 4.426149+6 2.515000-5 4.355302+6 2.525000-5 4.285922+6 2.540973-5 4.178055+6 2.560000-5 4.054133+6 2.610000-5 3.750607+6 2.630268-5 3.636068+6 2.650000-5 3.528942+6 2.670000-5 3.424570+6 2.691535-5 3.316705+6 2.710000-5 3.227524+6 2.730000-5 3.134488+6 2.754229-5 3.026506+6 2.777000-5 2.929508+6 2.800000-5 2.835720+6 2.830000-5 2.719363+6 2.860000-5 2.609366+6 2.885000-5 2.522267+6 2.920000-5 2.406861+6 2.951209-5 2.309972+6 2.990000-5 2.196883+6 3.020000-5 2.114621+6 3.060000-5 2.011476+6 3.100000-5 1.915257+6 3.150000-5 1.803898+6 3.198895-5 1.703730+6 3.245000-5 1.616458+6 3.300000-5 1.520618+6 3.311311-5 1.501910+6 3.350000-5 1.441154+6 3.420000-5 1.340135+6 3.470000-5 1.274389+6 3.548134-5 1.181125+6 3.589219-5 1.136172+6 3.630781-5 1.093819+6 3.650000-5 1.074967+6 3.715352-5 1.015737+6 3.801894-5 9.450460+5 3.900000-5 8.743041+5 3.935501-5 8.512315+5 4.000000-5 8.124699+5 4.120975-5 7.474604+5 4.150000-5 7.331254+5 4.216965-5 7.027992+5 4.260000-5 6.848493+5 4.365158-5 6.439726+5 4.415704-5 6.266290+5 4.466836-5 6.097077+5 4.570882-5 5.786425+5 4.677351-5 5.505056+5 4.731513-5 5.375975+5 4.900000-5 5.018209+5 5.080000-5 4.702577+5 5.248075-5 4.455013+5 5.308844-5 4.379078+5 5.432503-5 4.227568+5 5.450000-5 4.208266+5 5.559043-5 4.096272+5 5.623413-5 4.030455+5 5.650000-5 4.005510+5 5.821032-5 3.858642+5 5.850000-5 3.835281+5 6.025596-5 3.704847+5 6.095369-5 3.660655+5 6.237348-5 3.569226+5 6.397000-5 3.482021+5 6.397000-5 8.965469+5 6.400000-5 8.963119+5 6.456542-5 8.917168+5 6.491000-5 8.891349+5 6.491000-5 1.247255+6 6.510000-5 1.245699+6 6.606934-5 1.241121+6 6.683439-5 1.242102+6 6.700000-5 1.242396+6 6.760830-5 1.246997+6 6.770000-5 1.247663+6 6.850000-5 1.258518+6 6.918310-5 1.272222+6 6.920000-5 1.272570+6 7.000000-5 1.294544+6 7.079458-5 1.322769+6 7.161434-5 1.358967+6 7.244360-5 1.403232+6 7.330000-5 1.457253+6 7.413102-5 1.517937+6 7.500000-5 1.591009+6 7.540000-5 1.627194+6 7.585776-5 1.671821+6 7.620000-5 1.705971+6 7.673615-5 1.762652+6 7.762471-5 1.864806+6 7.900000-5 2.039620+6 8.035261-5 2.228176+6 8.128305-5 2.368029+6 8.150000-5 2.401828+6 8.230000-5 2.527467+6 8.317638-5 2.670479+6 8.413951-5 2.830481+6 8.485300-5 2.952066+6 8.500000-5 2.976696+6 8.570000-5 3.096660+6 8.609938-5 3.165143+6 8.730000-5 3.370917+6 8.810489-5 3.505331+6 8.850000-5 3.572965+6 9.000000-5 3.817871+6 9.015711-5 3.843387+6 9.120108-5 4.006254+6 9.150000-5 4.053937+6 9.300000-5 4.276387+6 9.450000-5 4.483292+6 9.486800-5 4.533223+6 9.580000-5 4.651995+6 9.660509-5 4.751696+6 9.772372-5 4.882297+6 9.850000-5 4.969304+6 9.980000-5 5.107301+6 1.000000-4 5.127567+6 1.020000-4 5.318078+6 1.023293-4 5.347967+6 1.047129-4 5.547686+6 1.050000-4 5.570432+6 1.059254-4 5.637087+6 1.080000-4 5.787429+6 1.083927-4 5.814335+6 1.109175-4 5.970988+6 1.110000-4 5.976121+6 1.122018-4 6.046483+6 1.150000-4 6.194923+6 1.161449-4 6.251771+6 1.174898-4 6.311722+6 1.190000-4 6.378909+6 1.205000-4 6.440441+6 1.220000-4 6.494751+6 1.240000-4 6.566928+6 1.244515-4 6.581486+6 1.291500-4 6.709018+6 1.303167-4 6.730249+6 1.333521-4 6.784890+6 1.364583-4 6.814442+6 1.380384-4 6.829297+6 1.430000-4 6.832025+6 1.450000-4 6.816214+6 1.480000-4 6.792900+6 1.500000-4 6.761168+6 1.513561-4 6.739966+6 1.540000-4 6.699308+6 1.603245-4 6.559135+6 1.637100-4 6.466026+6 1.637100-4 6.815166+6 1.640590-4 6.806432+6 1.650000-4 6.783028+6 1.659587-4 6.759423+6 1.678804-4 6.712799+6 1.697700-4 6.658129+6 1.697700-4 6.763137+6 1.715000-4 6.726872+6 1.722000-4 6.712376+6 1.730000-4 6.695630+6 1.737801-4 6.678997+6 1.745000-4 6.663288+6 1.755000-4 6.640922+6 1.760000-4 6.629428+6 1.765000-4 6.615825+6 1.778279-4 6.579057+6 1.795000-4 6.532360+6 1.810000-4 6.490468+6 1.819701-4 6.463361+6 1.840772-4 6.405543+6 1.850000-4 6.380414+6 1.862087-4 6.347885+6 1.972423-4 6.029929+6 2.000000-4 5.947160+6 2.018366-4 5.893895+6 2.065380-4 5.762824+6 2.089296-4 5.698916+6 2.113489-4 5.628495+6 2.162719-4 5.489649+6 2.190000-4 5.415735+6 2.238721-4 5.274334+6 2.261000-4 5.211945+6 2.261000-4 5.407524+6 2.264644-4 5.398094+6 2.276000-4 5.368513+6 2.300000-4 5.305922+6 2.306300-4 5.289564+6 2.317395-4 5.259951+6 2.350000-4 5.169761+6 2.400000-4 5.035297+6 2.426610-4 4.965822+6 2.454709-4 4.892424+6 2.500000-4 4.771347+6 2.511886-4 4.740107+6 2.540973-4 4.665327+6 2.550000-4 4.642587+6 2.580000-4 4.567926+6 2.600160-4 4.517382+6 2.620000-4 4.466548+6 2.680000-4 4.318555+6 2.722701-4 4.218040+6 2.730000-4 4.201296+6 2.754229-4 4.146047+6 2.809100-4 4.022981+6 2.884032-4 3.861169+6 2.900000-4 3.827850+6 2.951209-4 3.723941+6 3.019952-4 3.589924+6 3.054921-4 3.522120+6 3.162278-4 3.327648+6 3.235937-4 3.200739+6 3.311311-4 3.076320+6 3.350000-4 3.014708+6 3.388442-4 2.955345+6 3.427678-4 2.895836+6 3.467369-4 2.837674+6 3.507519-4 2.779552+6 3.550000-4 2.719402+6 3.589219-4 2.665578+6 3.630781-4 2.610445+6 3.672823-4 2.555835+6 3.715352-4 2.502491+6 3.722400-4 2.493792+6 3.758374-4 2.449289+6 3.801894-4 2.396733+6 3.935501-4 2.246096+6 3.981072-4 2.197741+6 4.000000-4 2.178067+6 4.027170-4 2.150324+6 4.073803-4 2.103585+6 4.100000-4 2.078043+6 4.216965-4 1.968259+6 4.280000-4 1.912681+6 4.315191-4 1.882442+6 4.415704-4 1.799279+6 4.466836-4 1.759129+6 4.500000-4 1.733439+6 4.570882-4 1.680250+6 4.700000-4 1.588941+6 4.786301-4 1.531681+6 4.850000-4 1.491189+6 4.954502-4 1.427444+6 5.011872-4 1.393972+6 5.069907-4 1.361351+6 5.188000-4 1.298007+6 5.248075-4 1.267408+6 5.308844-4 1.237160+6 5.400000-4 1.193867+6 5.559043-4 1.123184+6 5.650000-4 1.085391+6 5.754399-4 1.044204+6 5.821032-4 1.019169+6 6.025596-4 9.463913+5 6.095369-4 9.233413+5 6.309573-4 8.569374+5 6.382635-4 8.357592+5 6.606934-4 7.749726+5 6.700000-4 7.516275+5 6.760830-4 7.367968+5 6.918310-4 7.004186+5 7.000000-4 6.822842+5 7.244360-4 6.321052+5 7.413102-4 6.005306+5 7.498942-4 5.853042+5 7.585776-4 5.704914+5 7.762471-4 5.417912+5 7.800000-4 5.359764+5 7.852356-4 5.279246+5 8.128305-4 4.881725+5 8.222426-4 4.755796+5 8.317638-4 4.632165+5 8.609938-4 4.281447+5 8.709636-4 4.170375+5 8.810489-4 4.061480+5 9.015711-4 3.852114+5 9.120108-4 3.751263+5 9.332543-4 3.556176+5 9.549926-4 3.371873+5 9.660509-4 3.283093+5 9.772372-4 3.196769+5 1.000000-3 3.030277+5 1.023293-3 2.871348+5 1.035142-3 2.794644+5 1.047129-3 2.720099+5 1.059254-3 2.647309+5 1.071519-3 2.576570+5 1.083927-3 2.507803+5 1.110000-3 2.371168+5 1.148154-3 2.188823+5 1.150000-3 2.180533+5 1.161449-3 2.129940+5 1.174898-3 2.072419+5 1.188502-3 2.016391+5 1.202264-3 1.961943+5 1.216186-3 1.908808+5 1.258925-3 1.756896+5 1.273503-3 1.709134+5 1.303167-3 1.617218+5 1.318257-3 1.573078+5 1.333521-3 1.530196+5 1.350000-3 1.485623+5 1.412538-3 1.330872+5 1.428894-3 1.294117+5 1.438600-3 1.273001+5 1.438600-3 4.694345+5 1.440500-3 4.785945+5 1.443350-3 4.897202+5 1.446300-3 4.986573+5 1.450000-3 5.065212+5 1.453000-3 5.112283+5 1.458000-3 5.160652+5 1.462177-3 5.176004+5 1.466000-3 5.190149+5 1.474000-3 5.183790+5 1.479108-3 5.166605+5 1.481200-3 5.159612+5 1.481200-3 5.933632+5 1.481410-3 5.958091+5 1.481600-3 6.009147+5 1.481850-3 6.076174+5 1.481920-3 6.075941+5 1.482000-3 6.116254+5 1.482150-3 6.156035+5 1.482220-3 6.155802+5 1.482300-3 6.195645+5 1.482600-3 6.273446+5 1.482850-3 6.337115+5 1.482920-3 6.336882+5 1.483000-3 6.374216+5 1.483300-3 6.445818+5 1.483550-3 6.503488+5 1.483850-3 6.569291+5 1.484150-3 6.630895+5 1.484500-3 6.697634+5 1.484850-3 6.758574+5 1.485000-3 6.782977+5 1.485100-3 6.784256+5 1.485200-3 6.793213+5 1.485350-3 6.802061+5 1.485500-3 6.820397+5 1.485650-3 6.823944+5 1.485900-3 6.848027+5 1.486200-3 6.872318+5 1.486400-3 6.884950+5 1.488300-3 6.935010+5 1.491000-3 6.977490+5 1.493000-3 6.994930+5 1.495000-3 7.008729+5 1.499000-3 7.020709+5 1.500000-3 7.019056+5 1.503500-3 7.013314+5 1.504000-3 7.010735+5 1.513561-3 6.942307+5 1.516800-3 6.919435+5 1.519000-3 6.902682+5 1.523000-3 6.868375+5 1.543000-3 6.671193+5 1.545000-3 6.657008+5 1.548817-3 6.621251+5 1.555000-3 6.566295+5 1.570000-3 6.428293+5 1.580000-3 6.338559+5 1.584893-3 6.291176+5 1.590000-3 6.242228+5 1.603245-3 6.120447+5 1.610000-3 6.059648+5 1.621810-3 5.952947+5 1.641500-3 5.772924+5 1.641500-3 6.557200+5 1.650000-3 6.477501+5 1.659587-3 6.388068+5 1.737801-3 5.720783+5 1.760000-3 5.549936+5 1.798871-3 5.261124+5 1.840772-3 4.973174+5 1.862087-3 4.835259+5 1.905461-3 4.570711+5 1.927525-3 4.443363+5 2.000000-3 4.058805+5 2.018366-3 3.968927+5 2.070000-3 3.730925+5 2.089296-3 3.646365+5 2.137962-3 3.444648+5 2.162719-3 3.347455+5 2.264644-3 2.985781+5 2.300000-3 2.873291+5 2.317395-3 2.819469+5 2.344229-3 2.738771+5 2.371374-3 2.660440+5 2.454709-3 2.437815+5 2.483133-3 2.367890+5 2.540973-3 2.232793+5 2.570396-3 2.167856+5 2.630268-3 2.043552+5 2.722701-3 1.870708+5 2.786121-3 1.763163+5 2.851018-3 1.661892+5 2.884032-3 1.613516+5 2.900000-3 1.590805+5 2.917427-3 1.566517+5 2.951209-3 1.520892+5 2.985383-3 1.476092+5 3.000000-3 1.457430+5 3.054921-3 1.390209+5 3.162278-3 1.270105+5 3.198895-3 1.232463+5 3.235937-3 1.195966+5 3.273407-3 1.160544+5 3.311311-3 1.125955+5 3.388442-3 1.059903+5 3.427678-3 1.028368+5 3.500000-3 9.734463+4 3.548134-3 9.389312+4 3.589219-3 9.108151+4 3.630781-3 8.835468+4 3.715352-3 8.314478+4 3.758374-3 8.065922+4 3.801894-3 7.824933+4 3.900000-3 7.312677+4 4.000000-3 6.833310+4 4.073803-3 6.507110+4 4.120975-3 6.309660+4 4.168694-3 6.118365+4 4.216965-3 5.933029+4 4.315191-3 5.579475+4 4.365158-3 5.410871+4 4.466836-3 5.087196+4 4.570882-3 4.781428+4 4.623810-3 4.634996+4 4.677351-3 4.493098+4 4.731513-3 4.355664+4 4.897788-3 3.968444+4 4.954502-3 3.847371+4 5.000000-3 3.753281+4 5.069907-3 3.614875+4 5.188000-3 3.395697+4 5.248075-3 3.290787+4 5.370318-3 3.090764+4 5.559043-3 2.813905+4 5.754399-3 2.562280+4 5.821032-3 2.482527+4 5.888437-3 2.405323+4 6.000000-3 2.284597+4 6.095369-3 2.187942+4 6.165950-3 2.119777+4 6.309573-3 1.989929+4 6.382635-3 1.928100+4 6.531306-3 1.810306+4 6.683439-3 1.699812+4 6.760830-3 1.646758+4 6.839116-3 1.595074+4 6.918310-3 1.545032+4 7.079458-3 1.449731+4 7.161434-3 1.404368+4 7.244360-3 1.360322+4 7.673615-3 1.160479+4 7.762471-3 1.123974+4 7.852356-3 1.088633+4 8.128305-3 9.887999+3 8.222426-3 9.576525+3 8.317638-3 9.275121+3 8.709636-3 8.160897+3 8.810489-3 7.902406+3 8.912509-3 7.652316+3 9.015711-3 7.409984+3 9.332543-3 6.726303+3 9.440609-3 6.513104+3 9.549926-3 6.306842+3 9.660509-3 6.107263+3 1.000000-2 5.545235+3 1.011579-2 5.369834+3 1.023293-2 5.198698+3 1.035142-2 5.033100+3 1.071519-2 4.565633+3 1.096478-2 4.278976+3 1.109175-2 4.142641+3 1.135011-2 3.883204+3 1.148154-2 3.759516+3 1.161449-2 3.639782+3 1.174898-2 3.523964+3 1.202264-2 3.301643+3 1.230269-2 3.092616+3 1.261900-2 2.877847+3 1.261900-2 2.082185+4 1.276000-2 2.032130+4 1.288250-2 1.980806+4 1.303167-2 1.920690+4 1.305000-2 1.913477+4 1.318257-2 1.865956+4 1.333521-2 1.813271+4 1.335000-2 1.808276+4 1.364583-2 1.707540+4 1.412538-2 1.559922+4 1.531087-2 1.267682+4 1.548817-2 1.229503+4 1.584893-2 1.156578+4 1.603245-2 1.121751+4 1.640590-2 1.055137+4 1.659587-2 1.023335+4 1.698244-2 9.625518+3 1.778279-2 8.510365+3 1.798871-2 8.252436+3 1.819701-2 8.002355+3 1.840772-2 7.759886+3 1.862087-2 7.524791+3 1.883649-2 7.296837+3 1.905461-2 7.075482+3 1.927525-2 6.860873+3 1.949845-2 6.652793+3 1.950000-2 6.651378+3 2.089296-2 5.507335+3 2.113489-2 5.336645+3 2.162719-2 5.011015+3 2.213095-2 4.705321+3 2.238721-2 4.559379+3 2.264644-2 4.417976+3 2.290868-2 4.280943+3 2.344229-2 4.019495+3 2.371374-2 3.894799+3 2.454709-2 3.543517+3 2.483133-2 3.431424+3 2.570396-2 3.116021+3 2.600160-2 3.017483+3 2.630268-2 2.921954+3 2.660725-2 2.829454+3 2.691535-2 2.739888+3 2.754229-2 2.569163+3 2.818383-2 2.409079+3 2.851018-2 2.332808+3 2.917427-2 2.187449+3 3.054921-2 1.923388+3 3.090295-2 1.861487+3 3.162278-2 1.743465+3 3.388442-2 1.432452+3 3.467369-2 1.341662+3 3.507519-2 1.298439+3 3.672823-2 1.139051+3 3.758374-2 1.066783+3 3.801894-2 1.032385+3 3.845918-2 9.986188+2 3.890451-2 9.659593+2 4.120975-2 8.180216+2 4.265795-2 7.403846+2 4.365158-2 6.927701+2 4.466836-2 6.481672+2 4.518559-2 6.269529+2 4.677351-2 5.673876+2 4.786301-2 5.304329+2 4.841724-2 5.128694+2 4.954502-2 4.794703+2 5.011872-2 4.635964+2 5.248075-2 4.051904+2 5.308844-2 3.917641+2 5.495409-2 3.540922+2 5.754399-2 3.094425+2 5.956621-2 2.793992+2 6.165950-2 2.522753+2 6.382635-2 2.277872+2 6.456542-2 2.201576+2 6.606934-2 2.056549+2 7.161434-2 1.620216+2 7.328245-2 1.512569+2 7.673615-2 1.318268+2 7.852356-2 1.230697+2 8.035261-2 1.148872+2 9.225714-2 7.603352+1 9.332543-2 7.346301+1 9.440609-2 7.097942+1 9.772372-2 6.398079+1 9.885531-2 6.180499+1 1.000000-1 5.970323+1 1.011580-1 5.767137+1 1.035142-1 5.381264+1 1.083927-1 4.685313+1 1.096478-1 4.525883+1 1.148154-1 3.940606+1 1.216186-1 3.314322+1 1.230269-1 3.201565+1 1.244515-1 3.092648+1 1.258925-1 2.987444+1 1.303167-1 2.692817+1 1.333521-1 2.512750+1 1.428894-1 2.041643+1 1.445440-1 1.972206+1 1.479108-1 1.840350+1 1.500000-1 1.764392+1 1.513561-1 1.717311+1 1.531088-1 1.658911+1 1.584893-1 1.495386+1 1.603245-1 1.444542+1 1.640590-1 1.347982+1 1.698244-1 1.215113+1 1.737801-1 1.133900+1 1.757924-1 1.095352+1 1.778279-1 1.058480+1 1.819701-1 9.884223+0 1.862087-1 9.230039+0 1.883649-1 8.919372+0 1.905461-1 8.619195+0 1.972423-1 7.778535+0 2.018366-1 7.264205+0 2.041738-1 7.019940+0 2.065380-1 6.783916+0 2.089296-1 6.555827+0 2.187762-1 5.717637+0 2.264644-1 5.160126+0 2.290868-1 4.988897+0 2.317395-1 4.823374+0 2.344229-1 4.663346+0 2.371374-1 4.508627+0 2.398833-1 4.359076+0 2.570396-1 3.561326+0 2.600160-1 3.443372+0 2.630268-1 3.329329+0 2.660725-1 3.219063+0 2.786121-1 2.819009+0 2.818383-1 2.727043+0 2.851018-1 2.638212+0 2.884032-1 2.552281+0 2.951209-1 2.388743+0 3.000000-1 2.278712+0 3.054921-1 2.162874+0 3.162278-1 1.961520+0 3.198895-1 1.898666+0 3.235937-1 1.837825+0 3.311311-1 1.722158+0 3.349654-1 1.667084+0 3.467369-1 1.512207+0 3.507519-1 1.464735+0 3.589219-1 1.374216+0 3.672823-1 1.289295+0 3.715352-1 1.248911+0 3.801894-1 1.171897+0 3.845918-1 1.135194+0 3.890451-1 1.099642+0 3.981072-1 1.033161+0 4.073803-1 9.707042-1 4.120975-1 9.409071-1 4.168694-1 9.120936-1 4.216965-1 8.841663-1 4.265795-1 8.570942-1 4.315191-1 8.308508-1 4.415705-1 7.817762-1 4.518559-1 7.356045-1 4.570882-1 7.135514-1 4.623810-1 6.921625-1 4.786301-1 6.319212-1 4.841724-1 6.134603-1 4.954502-1 5.781434-1 5.000000-1 5.646944-1 5.011872-1 5.612567-1 5.069907-1 5.448635-1 5.128614-1 5.289492-1 5.308844-1 4.840646-1 5.370318-1 4.703194-1 5.432503-1 4.569662-1 5.495409-1 4.439921-1 5.623413-1 4.191392-1 5.688529-1 4.072394-1 5.821032-1 3.845121-1 5.888437-1 3.736298-1 5.956621-1 3.633336-1 6.025596-1 3.533209-1 6.165950-1 3.341161-1 6.237348-1 3.249088-1 6.309573-1 3.159593-1 6.382635-1 3.072808-1 6.456542-1 2.988411-1 6.606935-1 2.830881-1 6.760830-1 2.681659-1 6.839117-1 2.610024-1 6.918310-1 2.540535-1 7.085700-1 2.402094-1 7.244360-1 2.284682-1 7.328245-1 2.225927-1 7.413102-1 2.168682-1 7.498942-1 2.112915-1 7.585776-1 2.058760-1 7.762471-1 1.954580-1 7.852356-1 1.905916-1 8.035261-1 1.812194-1 8.317638-1 1.680195-1 8.413951-1 1.638505-1 8.609938-1 1.558203-1 8.709636-1 1.520468-1 8.912509-1 1.447726-1 9.015711-1 1.412671-1 9.120108-1 1.378466-1 9.225714-1 1.345108-1 9.332543-1 1.312558-1 9.440609-1 1.280906-1 9.549926-1 1.250022-1 9.660509-1 1.221035-1 9.772372-1 1.192721-1 9.885531-1 1.165063-1 1.000000+0 1.138062-1 1.011579+0 1.111693-1 1.035142+0 1.060921-1 1.047129+0 1.036411-1 1.059254+0 1.012995-1 1.071519+0 9.901095-2 1.096478+0 9.458801-2 1.109175+0 9.245114-2 1.135011+0 8.832172-2 1.148154+0 8.632793-2 1.161449+0 8.438623-2 1.174898+0 8.255983-2 1.188600+0 8.076040-2 1.202264+0 7.902489-2 1.216186+0 7.731490-2 1.250000+0 7.338943-2 1.258925+0 7.240686-2 1.273503+0 7.084547-2 1.318257+0 6.647834-2 1.333521+0 6.508349-2 1.348963+0 6.371795-2 1.380384+0 6.107237-2 1.396368+0 5.979108-2 1.412538+0 5.853730-2 1.428894+0 5.731349-2 1.462177+0 5.501056-2 1.479108+0 5.389407-2 1.496236+0 5.280019-2 1.531087+0 5.067889-2 1.566751+0 4.864275-2 1.584893+0 4.765927-2 1.678804+0 4.317396-2 1.698244+0 4.232886-2 1.737801+0 4.068819-2 1.757924+0 3.989191-2 1.778279+0 3.911429-2 1.798871+0 3.837793-2 1.819701+0 3.765546-2 1.883649+0 3.556864-2 1.905461+0 3.489905-2 1.949845+0 3.359760-2 1.972423+0 3.296526-2 2.000000+0 3.222140-2 2.018366+0 3.175703-2 2.113489+0 2.951743-2 2.137962+0 2.898266-2 2.213095+0 2.743592-2 2.238721+0 2.693896-2 2.264644+0 2.645275-2 2.290868+0 2.599035-2 2.398833+0 2.422024-2 2.426610+0 2.379689-2 2.511886+0 2.257082-2 2.540973+0 2.217636-2 2.570396+0 2.179021-2 2.600160+0 2.141078-2 2.630268+0 2.105006-2 2.754229+0 1.966688-2 2.786121+0 1.933554-2 2.884032+0 1.837470-2 2.917427+0 1.806518-2 2.951209+0 1.776200-2 2.985383+0 1.746391-2 3.019952+0 1.718022-2 3.162278+0 1.609080-2 3.198895+0 1.582942-2 3.311311+0 1.507055-2 3.349654+0 1.482578-2 3.388442+0 1.458585-2 3.427678+0 1.434982-2 3.507519+0 1.390335-2 3.672823+0 1.305166-2 3.715352+0 1.284702-2 3.845918+0 1.225221-2 3.890451+0 1.206014-2 3.935501+0 1.187175-2 4.000000+0 1.161077-2 4.073803+0 1.133305-2 4.315191+0 1.050127-2 4.365158+0 1.034239-2 4.518559+0 9.880075-3 4.570882+0 9.730616-3 4.623810+0 9.583939-3 4.731513+0 9.297185-3 4.786301+0 9.161247-3 5.128614+0 8.386354-3 5.188000+0 8.263734-3 5.370318+0 7.906558-3 5.432503+0 7.790972-3 5.495409+0 7.677080-3 5.688529+0 7.346395-3 5.754399+0 7.242443-3 6.165950+0 6.648898-3 6.237348+0 6.554815-3 6.456542+0 6.280505-3 6.531306+0 6.191648-3 6.606934+0 6.104055-3 6.839116+0 5.849438-3 7.000000+0 5.688430-3 7.498942+0 5.237187-3 7.585776+0 5.165306-3 7.943282+0 4.887539-3 8.035261+0 4.820468-3 8.128305+0 4.754319-3 8.413951+0 4.561839-3 8.709636+0 4.381897-3 9.332543+0 4.043027-3 9.440609+0 3.989153-3 9.885531+0 3.780760-3 1.000000+1 3.730388-3 1.011579+1 3.680691-3 1.047129+1 3.535926-3 1.059254+1 3.488950-3 1.100000+1 3.342803-3 1.188502+1 3.062042-3 1.202264+1 3.022336-3 1.258925+1 2.868608-3 1.273503+1 2.831414-3 1.288250+1 2.794704-3 1.333521+1 2.687689-3 1.348963+1 2.652934-3 1.412538+1 2.521242-3 1.566751+1 2.248346-3 1.584893+1 2.219909-3 1.640590+1 2.136743-3 1.659587+1 2.109722-3 1.678804+1 2.083042-3 1.698244+1 2.056709-3 1.757924+1 1.979862-3 1.778279+1 1.954891-3 1.883649+1 1.837271-3 2.018366+1 1.705432-3 2.041738+1 1.684397-3 2.065380+1 1.663623-3 2.200000+1 1.554160-3 2.317395+1 1.469468-3 2.400000+1 1.415028-3 2.426610+1 1.398315-3 2.511886+1 1.347330-3 2.540973+1 1.331022-3 2.691535+1 1.252396-3 2.754229+1 1.222262-3 2.800000+1 1.201139-3 2.951209+1 1.136145-3 3.090295+1 1.082135-3 3.273407+1 1.018218-3 3.311311+1 1.006045-3 3.349654+1 9.940317-4 4.265795+1 7.723975-4 4.466836+1 7.361603-4 4.518559+1 7.273704-4 4.677351+1 7.016251-4 4.731513+1 6.932476-4 4.954502+1 6.607273-4 5.011872+1 6.529517-4 5.069907+1 6.452783-4 7.079458+1 4.579945-4 7.498942+1 4.317080-4 7.585776+1 4.266348-4 8.035261+1 4.021492-4 8.413951+1 3.835772-4 8.511380+1 3.790698-4 8.609938+1 3.746618-4 8.709636+1 3.703095-4 1.412538+2 2.266905-4 1.496236+2 2.138260-4 1.513561+2 2.113423-4 1.603245+2 1.993491-4 1.678804+2 1.902466-4 1.698244+2 1.880367-4 1.717908+2 1.858677-4 1.737801+2 1.837250-4 2.818383+2 1.128951-4 2.985383+2 1.065362-4 3.019952+2 1.053081-4 3.198895+2 9.937666-5 3.349654+2 9.487305-5 3.388442+2 9.377938-5 3.427678+2 9.270255-5 3.467369+2 9.163850-5 1.122018+3 2.822841-5 1.188502+3 2.664515-5 1.202264+3 2.633932-5 1.273503+3 2.486202-5 1.333521+3 2.374009-5 1.348963+3 2.346760-5 2.722701+3 1.162290-5 2.754229+3 1.148981-5 1.000000+5 3.160999-7 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 9.400000-6 9.400000-6 9.820000-6 9.400000-6 9.820000-6 9.537763-6 2.099000-5 9.553747-6 2.099000-5 9.637975-6 2.365000-5 9.569792-6 2.560000-5 9.575863-6 2.754229-5 9.640600-6 2.951209-5 9.774434-6 3.150000-5 9.984065-6 3.350000-5 1.027071-5 3.548134-5 1.062347-5 3.801894-5 1.115773-5 4.216965-5 1.214771-5 4.677351-5 1.324934-5 4.900000-5 1.373504-5 5.080000-5 1.408997-5 5.308844-5 1.448748-5 5.623413-5 1.494052-5 5.850000-5 1.520133-5 6.095369-5 1.542628-5 6.397000-5 1.563374-5 6.397000-5 2.564365-5 6.491000-5 2.570267-5 6.491000-5 2.749759-5 6.770000-5 2.769854-5 7.079458-5 2.811468-5 7.900000-5 2.969102-5 8.317638-5 3.029589-5 8.730000-5 3.068971-5 9.300000-5 3.100643-5 1.023293-4 3.125158-5 1.244515-4 3.146788-5 1.637100-4 3.156911-5 1.637100-4 3.290589-5 1.697700-4 3.298701-5 1.697700-4 3.338430-5 1.795000-4 3.372441-5 2.113489-4 3.452130-5 2.261000-4 3.493350-5 2.261000-4 3.622008-5 2.550000-4 3.724599-5 3.162278-4 3.886778-5 3.801894-4 4.031726-5 4.570882-4 4.181123-5 5.650000-4 4.356615-5 6.918310-4 4.526254-5 8.317638-4 4.680266-5 1.000000-3 4.829861-5 1.216186-3 4.981275-5 1.438600-3 5.103570-5 1.438600-3 7.553310-5 1.446300-3 7.618712-5 1.458000-3 7.664411-5 1.481200-3 7.697029-5 1.481200-3 7.820049-5 1.484850-3 7.924270-5 1.491000-3 7.953382-5 1.523000-3 7.978746-5 1.641500-3 7.993057-5 1.641500-3 8.489771-5 1.905461-3 8.584813-5 2.985383-3 8.853120-5 4.216965-3 9.085723-5 5.888437-3 9.328516-5 8.128305-3 9.572357-5 1.109175-2 9.808184-5 1.261900-2 9.903927-5 1.261900-2 1.176890-4 2.238721-2 1.185081-4 5.011872-2 1.191336-4 1.778279-1 1.195303-4 8.128305+0 1.196624-4 1.000000+5 1.196621-4 1 34000 7 7 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 9.400000-6 0.0 6.491000-5 0.0 6.491000-5 5.47406-10 6.770000-5 5.51118-10 7.000000-5 5.57741-10 7.161434-5 5.65046-10 7.413102-5 5.80696-10 7.620000-5 5.95728-10 7.673615-5 6.00450-10 7.762471-5 6.06664-10 8.035261-5 6.28097-10 8.230000-5 6.41727-10 8.413951-5 6.53624-10 8.730000-5 6.70571-10 9.120108-5 6.86992-10 9.580000-5 7.01017-10 1.000000-4 7.09217-10 1.059254-4 7.17372-10 1.110000-4 7.22613-10 1.244515-4 7.30760-10 1.480000-4 7.40079-10 1.637100-4 7.43011-10 1.637100-4 1.017535-9 1.697700-4 1.034320-9 1.697700-4 1.132830-9 1.737801-4 1.172318-9 1.765000-4 1.193297-9 1.810000-4 1.219906-9 1.972423-4 1.303031-9 2.113489-4 1.388902-9 2.261000-4 1.481543-9 2.261000-4 1.694057-9 2.400000-4 1.802512-9 2.550000-4 1.906272-9 2.754229-4 2.030352-9 3.054921-4 2.198695-9 3.350000-4 2.353086-9 3.758374-4 2.547969-9 4.100000-4 2.698047-9 4.415704-4 2.827892-9 4.954502-4 3.029835-9 5.559043-4 3.235192-9 6.095369-4 3.399944-9 6.760830-4 3.583629-9 7.585776-4 3.788638-9 8.317638-4 3.948641-9 9.332543-4 4.144721-9 1.047129-3 4.334282-9 1.188502-3 4.533901-9 1.350000-3 4.724609-9 1.438600-3 4.814822-9 1.438600-3 1.662720-5 1.443350-3 1.693067-5 1.446300-3 1.706464-5 1.453000-3 1.726849-5 1.462177-3 1.741970-5 1.479108-3 1.755937-5 1.481200-3 1.757033-5 1.481200-3 1.856220-5 1.481600-3 1.864877-5 1.481920-3 1.872326-5 1.482150-3 1.880914-5 1.482220-3 1.880949-5 1.482850-3 1.899678-5 1.484500-3 1.934211-5 1.485200-3 1.942952-5 1.486400-3 1.951508-5 1.493000-3 1.965250-5 1.504000-3 1.975139-5 1.545000-3 1.981938-5 1.641500-3 1.984912-5 1.641500-3 2.018735-5 2.786121-3 2.020009-5 9.015711-3 1.991342-5 1.261900-2 1.981634-5 1.261900-2 5.846690-3 1.640590-2 5.906587-3 2.290868-2 5.955676-3 3.507519-2 5.994806-3 6.382635-2 6.021860-3 2.018366-1 6.036199-3 1.000000+5 6.041481-3 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 9.400000-6 0.0 9.820000-6 4.200000-7 9.820000-6 2.822367-7 1.400000-5 4.451017-6 2.099000-5 1.143625-5 2.099000-5 1.135202-5 2.400000-5 1.443296-5 2.670000-5 1.709524-5 2.951209-5 1.973766-5 3.245000-5 2.233898-5 3.548134-5 2.485787-5 4.000000-5 2.838008-5 4.731513-5 3.394219-5 5.248075-5 3.809347-5 5.650000-5 4.152705-5 6.237348-5 4.684058-5 6.397000-5 4.833626-5 6.397000-5 3.832635-5 6.491000-5 3.920733-5 6.491000-5 3.741186-5 6.850000-5 4.071258-5 7.244360-5 4.403241-5 7.900000-5 4.930836-5 8.413951-5 5.373437-5 9.150000-5 6.055777-5 1.059254-4 7.461921-5 1.637100-4 1.321401-4 1.637100-4 1.308031-4 1.697700-4 1.367820-4 1.697700-4 1.363846-4 2.261000-4 1.911650-4 2.261000-4 1.898782-4 3.388442-4 2.994387-4 6.700000-4 6.250032-4 1.438600-3 1.387559-3 1.438600-3 1.346440-3 1.481200-3 1.386659-3 1.481200-3 1.384437-3 1.499000-3 1.399616-3 1.641500-3 1.541720-3 1.641500-3 1.536415-3 1.261900-2 1.250014-2 1.261900-2 6.654621-3 1.698244-2 1.095136-2 3.507519-2 2.896147-2 1.000000+5 9.999999+4 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.261900-2 1.794400+4 1.276000-2 1.753258+4 1.305000-2 1.651776+4 1.335000-2 1.562848+4 1.412538-2 1.350844+4 1.531087-2 1.101510+4 1.698244-2 8.389426+3 1.950000-2 5.819640+3 2.454709-2 3.115731+3 3.054921-2 1.696990+3 3.801894-2 9.132415+2 4.677351-2 5.028258+2 5.754399-2 2.745983+2 7.161434-2 1.439219+2 9.440609-2 6.310248+1 1.757924-1 9.744672+0 2.264644-1 4.591218+0 2.660725-1 2.864304+0 3.054921-1 1.924570+0 3.467369-1 1.345614+0 3.890451-1 9.785290-1 4.315191-1 7.393809-1 4.786301-1 5.624013-1 5.308844-1 4.308348-1 5.888437-1 3.325589-1 6.456542-1 2.660092-1 7.085700-1 2.138147-1 7.762471-1 1.740054-1 8.609938-1 1.387470-1 9.549926-1 1.113164-1 1.047129+0 9.229813-2 1.161449+0 7.515145-2 1.273503+0 6.309367-2 1.428894+0 5.104218-2 1.584893+0 4.244367-2 1.778279+0 3.483375-2 2.000000+0 2.869527-2 2.264644+0 2.355834-2 2.600160+0 1.906751-2 2.985383+0 1.555254-2 3.427678+0 1.277933-2 4.000000+0 1.034000-2 4.731513+0 8.279542-3 5.688529+0 6.542300-3 6.839116+0 5.209209-3 8.413951+0 4.062552-3 1.059254+1 3.107068-3 1.348963+1 2.362574-3 1.778279+1 1.740914-3 2.511886+1 1.199924-3 3.273407+1 9.068219-4 4.954502+1 5.884392-4 8.511380+1 3.375983-4 1.698244+2 1.674650-4 3.388442+2 8.351997-5 1.348963+3 2.089921-5 1.000000+5 2.815200-7 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.261900-2 1.206800-4 1.000000+5 1.206800-4 1 34000 7 7 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.261900-2 6.781200-3 1.000000+5 6.781200-3 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.261900-2 5.717120-3 1.000000+5 9.999999+4 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.641500-3 7.842757+4 1.760000-3 7.276940+4 1.905461-3 6.437543+4 2.317395-3 4.669322+4 2.722701-3 3.544530+4 2.985383-3 3.001113+4 3.500000-3 2.234800+4 3.900000-3 1.813106+4 4.466836-3 1.385961+4 5.069907-3 1.069515+4 5.754399-3 8.202533+3 6.683439-3 5.940423+3 7.673615-3 4.374878+3 8.709636-3 3.284481+3 1.011579-2 2.322366+3 1.174898-2 1.628653+3 1.364583-2 1.133282+3 1.603245-2 7.604297+2 1.883649-2 5.059573+2 2.213095-2 3.339359+2 2.600160-2 2.186889+2 3.090295-2 1.378034+2 3.672823-2 8.611822+1 4.365158-2 5.341091+1 5.248075-2 3.183758+1 6.382635-2 1.822645+1 7.852356-2 1.001855+1 1.000000-1 4.942580+0 1.905461-1 7.377438-1 2.398833-1 3.761787-1 2.818383-1 2.364532-1 3.235937-1 1.599265-1 3.672823-1 1.125158-1 4.120975-1 8.228243-2 4.623810-1 6.061887-2 5.128614-1 4.637535-2 5.688529-1 3.574136-2 6.309573-1 2.776156-2 6.839117-1 2.294950-2 7.498942-1 1.859061-2 8.317638-1 1.477817-2 9.332543-1 1.154255-2 1.011579+0 9.776295-3 1.148154+0 7.595085-3 1.250000+0 6.456302-3 1.412538+0 5.150165-3 1.566751+0 4.279587-3 1.757924+0 3.509742-3 1.972423+0 2.900051-3 2.238721+0 2.369952-3 2.540973+0 1.950518-3 2.917427+0 1.589068-3 3.349654+0 1.304163-3 3.890451+0 1.060778-3 4.570882+0 8.558386-4 5.495409+0 6.752569-4 6.606934+0 5.369299-4 8.128305+0 4.182188-4 1.011579+1 3.237444-4 1.288250+1 2.458235-4 1.698244+1 1.809178-4 2.426610+1 1.229909-4 3.311311+1 8.852688-5 5.011872+1 5.745787-5 8.609938+1 3.296975-5 1.717908+2 1.635667-5 3.427678+2 8.157970-6 2.722701+3 1.022141-6 1.000000+5 2.781800-8 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.641500-3 1.214600-4 1.000000+5 1.214600-4 1 34000 7 7 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.641500-3 2.267700-5 1.000000+5 2.267700-5 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.641500-3 1.497363-3 1.000000+5 1.000000+5 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.481200-3 7.740200+4 1.481410-3 7.991800+4 1.481600-3 8.508700+4 1.481850-3 9.187300+4 1.481920-3 9.187300+4 1.482000-3 9.593100+4 1.482150-3 9.995900+4 1.482220-3 9.995900+4 1.482300-3 1.039700+5 1.482600-3 1.118500+5 1.482850-3 1.183000+5 1.482920-3 1.183000+5 1.483000-3 1.220600+5 1.483300-3 1.293200+5 1.483550-3 1.351700+5 1.483850-3 1.418500+5 1.484150-3 1.481100+5 1.484500-3 1.549000+5 1.484850-3 1.611100+5 1.485000-3 1.636000+5 1.485100-3 1.637610+5 1.485200-3 1.646899+5 1.485350-3 1.656243+5 1.485500-3 1.675076+5 1.485650-3 1.679119+5 1.485900-3 1.704030+5 1.486200-3 1.729313+5 1.486400-3 1.742606+5 1.488300-3 1.798934+5 1.491000-3 1.850285+5 1.495000-3 1.898528+5 1.499000-3 1.931318+5 1.503500-3 1.947216+5 1.519000-3 1.947216+5 1.523000-3 1.943159+5 1.543000-3 1.893304+5 1.545000-3 1.893500+5 1.555000-3 1.871400+5 1.590000-3 1.780200+5 1.621810-3 1.709000+5 1.650000-3 1.638300+5 2.137962-3 8.386800+4 2.371374-3 6.373300+4 2.540973-3 5.286100+4 3.054921-3 3.171600+4 3.427678-3 2.283600+4 3.900000-3 1.572100+4 4.570882-3 9.830200+3 5.188000-3 6.715000+3 6.095369-3 4.099500+3 7.161434-3 2.479300+3 8.317638-3 1.542200+3 9.660509-3 9.524100+2 1.135011-2 5.625000+2 1.333521-2 3.297400+2 1.584893-2 1.846300+2 1.883649-2 1.026100+2 2.264644-2 5.441700+1 2.754229-2 2.752100+1 3.467369-2 1.223100+1 4.518559-2 4.768800+0 9.772372-2 3.012200-1 1.216186-1 1.386200-1 1.445440-1 7.561000-2 1.698244-1 4.324400-2 1.972423-1 2.592552-2 2.264644-1 1.629001-2 2.570396-1 1.071957-2 2.884032-1 7.377676-3 3.235937-1 5.113672-3 3.589219-1 3.699493-3 3.981072-1 2.695025-3 4.415705-1 1.978333-3 4.841724-1 1.514169-3 5.308844-1 1.166380-3 5.888437-1 8.762418-4 6.456542-1 6.842568-4 7.085700-1 5.367495-4 7.762471-1 4.261285-4 8.609938-1 3.304029-4 9.440609-1 2.645430-4 1.000000+0 2.318798-4 1.071519+0 1.999597-4 1.135011+0 1.778239-4 1.202264+0 1.590378-4 1.318257+0 1.342900-4 1.462177+0 1.119230-4 1.737801+0 8.301150-5 1.949845+0 6.848433-5 2.213095+0 5.592289-5 2.511886+0 4.599685-5 2.884032+0 3.744920-5 3.311311+0 3.071727-5 3.845918+0 2.497094-5 4.518559+0 2.013498-5 5.370318+0 1.611175-5 6.456542+0 1.279929-5 7.943282+0 9.961036-6 9.885531+0 7.704907-6 1.258925+1 5.846224-6 1.640590+1 4.354837-6 2.200000+1 3.167200-6 2.951209+1 2.315413-6 4.677351+1 1.430262-6 8.035261+1 8.198306-7 1.603245+2 4.064795-7 3.198895+2 2.026588-7 1.273503+3 5.069788-8 1.000000+5 6.44660-10 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.481200-3 8.640100-5 1.000000+5 8.640100-5 1 34000 7 7 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.481200-3 2.517400-5 1.000000+5 2.517400-5 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.481200-3 1.369625-3 1.000000+5 1.000000+5 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.438600-3 3.421344+5 1.440500-3 3.517019+5 1.443350-3 3.634352+5 1.446300-3 3.729967+5 1.450000-3 3.816374+5 1.453000-3 3.869692+5 1.458000-3 3.928371+5 1.466000-3 3.974154+5 1.474000-3 3.983819+5 1.493000-3 3.957539+5 1.504000-3 3.921048+5 1.516800-3 3.853256+5 1.548817-3 3.673077+5 1.580000-3 3.520416+5 1.610000-3 3.357884+5 2.070000-3 1.740184+5 2.300000-3 1.313448+5 2.483133-3 1.064577+5 2.951209-3 6.566182+4 3.273407-3 4.876268+4 3.801894-3 3.151317+4 4.365158-3 2.086844+4 4.954502-3 1.422039+4 5.754399-3 8.965956+3 6.760830-3 5.405819+3 7.852356-3 3.351511+3 9.015711-3 2.141242+3 1.035142-2 1.359752+3 1.202264-2 8.257809+2 1.412538-2 4.790726+2 1.659587-2 2.759000+2 1.950000-2 1.577664+2 2.344229-2 8.266963+1 2.818383-2 4.296474+1 3.467369-2 2.040214+1 4.365158-2 8.840626+0 5.754399-2 3.212229+0 1.035142-1 3.700060-1 1.303167-1 1.597803-1 1.531088-1 8.930261-2 1.778279-1 5.241331-2 2.041738-1 3.229694-2 2.290868-1 2.171296-2 2.570396-1 1.470448-2 2.851018-1 1.042846-2 3.162278-1 7.451827-3 3.467369-1 5.564015-3 3.801894-1 4.181595-3 4.168694-1 3.164716-3 4.570882-1 2.413099-3 4.954502-1 1.916121-3 5.370318-1 1.531107-3 5.821032-1 1.231414-3 6.309573-1 9.972778-4 6.839117-1 8.131524-4 7.413102-1 6.673283-4 8.035261-1 5.510767-4 8.709636-1 4.579927-4 9.549926-1 3.734098-4 1.011579+0 3.305488-4 1.109175+0 2.741915-4 1.202264+0 2.342862-4 1.333521+0 1.931062-4 1.496236+0 1.570624-4 1.698244+0 1.259583-4 1.905461+0 1.038216-4 2.137962+0 8.621679-5 2.426610+0 7.078024-5 2.786121+0 5.751595-5 3.198895+0 4.709130-5 3.715352+0 3.821531-5 4.365158+0 3.076437-5 5.188000+0 2.458100-5 6.237348+0 1.949944-5 7.585776+0 1.536570-5 9.440609+0 1.186620-5 1.202264+1 8.990497-6 1.584893+1 6.604079-6 2.041738+1 5.011290-6 2.754229+1 3.636278-6 4.466836+1 2.190307-6 7.498942+1 1.284485-6 1.496236+2 6.364067-7 2.985383+2 3.171634-7 1.188502+3 7.931791-8 1.000000+5 9.41170-10 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.438600-3 8.464800-5 1.000000+5 8.464800-5 1 34000 7 7 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.438600-3 2.281200-5 1.000000+5 2.281200-5 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.438600-3 1.331140-3 1.000000+5 1.000000+5 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.261000-4 1.955794+5 2.276000-4 1.981392+5 2.300000-4 2.008340+5 2.350000-4 2.046880+5 2.400000-4 2.076700+5 2.454709-4 2.098095+5 2.500000-4 2.104680+5 2.550000-4 2.099920+5 2.600160-4 2.084356+5 2.680000-4 2.044140+5 3.054921-4 1.822417+5 3.350000-4 1.685500+5 3.550000-4 1.594754+5 3.801894-4 1.481678+5 4.415704-4 1.246652+5 4.786301-4 1.129656+5 5.248075-4 1.001601+5 6.025596-4 8.295000+4 6.700000-4 7.125700+4 7.800000-4 5.675040+4 8.810489-4 4.694004+4 1.023293-3 3.686649+4 1.174898-3 2.926756+4 1.350000-3 2.305080+4 1.584893-3 1.734892+4 1.840772-3 1.320636+4 2.137962-3 9.979600+3 2.483133-3 7.488008+3 2.900000-3 5.518080+3 3.388442-3 4.033156+3 4.000000-3 2.864880+3 4.731513-3 2.009847+3 5.559043-3 1.419567+3 6.531306-3 9.950144+2 7.673615-3 6.920468+2 8.912509-3 4.905206+2 1.035142-2 3.452174+2 1.202264-2 2.412678+2 1.412538-2 1.627756+2 1.659587-2 1.089510+2 1.949845-2 7.236066+1 2.290868-2 4.769850+1 2.691535-2 3.121443+1 3.162278-2 2.028169+1 3.758374-2 1.267988+1 4.466836-2 7.869357+0 5.308844-2 4.849201+0 6.456542-2 2.778591+0 8.035261-2 1.479266+0 1.011580-1 7.562630-1 1.883649-1 1.210171-1 2.371374-1 6.175363-2 2.786121-1 3.882409-2 3.235937-1 2.541656-2 3.672823-1 1.788451-2 4.120975-1 1.308224-2 4.623810-1 9.641423-3 5.128614-1 7.377985-3 5.688529-1 5.687649-3 6.237348-1 4.542933-3 6.839117-1 3.652319-3 7.498942-1 2.955501-3 8.317638-1 2.346900-3 9.120108-1 1.925547-3 9.885531-1 1.629984-3 1.135011+0 1.238241-3 1.258925+0 1.014459-3 1.396368+0 8.369696-4 1.566751+0 6.811216-4 1.757924+0 5.585746-4 1.972423+0 4.615776-4 2.238721+0 3.772430-4 2.540973+0 3.104797-4 2.917427+0 2.529316-4 3.349654+0 2.075795-4 3.890451+0 1.688399-4 4.570882+0 1.362223-4 5.495409+0 1.074785-4 6.606934+0 8.545945-5 8.128305+0 6.656530-5 1.011579+1 5.152893-5 1.288250+1 3.912686-5 1.678804+1 2.916221-5 2.400000+1 1.980600-5 3.273407+1 1.426203-5 4.954502+1 9.254923-6 8.511380+1 5.309591-6 1.698244+2 2.633849-6 3.388442+2 1.313633-6 1.348963+3 3.286939-7 1.000000+5 4.427700-9 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.261000-4 7.050600-5 1.000000+5 7.050600-5 1 34000 7 7 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.261000-4 7.357300-9 1.000000+5 7.357300-9 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.261000-4 1.555866-4 1.000000+5 1.000000+5 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.697700-4 1.050074+5 1.715000-4 1.177666+5 1.722000-4 1.228350+5 1.730000-4 1.282578+5 1.737801-4 1.330507+5 1.745000-4 1.369494+5 1.755000-4 1.415582+5 1.765000-4 1.453388+5 1.778279-4 1.493061+5 1.795000-4 1.530150+5 1.810000-4 1.555196+5 1.840772-4 1.593398+5 1.972423-4 1.720691+5 2.162719-4 1.925045+5 2.238721-4 1.995673+5 2.317395-4 2.054089+5 2.400000-4 2.099480+5 2.500000-4 2.136360+5 2.620000-4 2.161840+5 2.754229-4 2.174103+5 2.900000-4 2.171920+5 3.019952-4 2.158388+5 3.162278-4 2.128789+5 3.311311-4 2.085309+5 3.507519-4 2.016241+5 3.715352-4 1.936484+5 3.981072-4 1.831393+5 4.216965-4 1.737424+5 4.500000-4 1.625662+5 4.786301-4 1.516170+5 5.188000-4 1.373480+5 5.650000-4 1.227864+5 6.095369-4 1.103145+5 6.606934-4 9.772224+4 7.244360-4 8.446107+4 7.852356-4 7.386959+4 8.609938-4 6.288545+4 9.549926-4 5.205167+4 1.047129-3 4.366409+4 1.161449-3 3.555684+4 1.273503-3 2.942695+4 1.412538-3 2.361284+4 1.570000-3 1.872162+4 1.737801-3 1.487473+4 1.927525-3 1.168522+4 2.162719-3 8.867682+3 2.454709-3 6.486891+3 2.786121-3 4.703080+3 3.162278-3 3.380747+3 3.589219-3 2.410421+3 4.073803-3 1.705431+3 4.623810-3 1.197552+3 5.248075-3 8.347992+2 6.000000-3 5.657040+2 6.839116-3 3.838499+2 7.762471-3 2.619155+2 8.912509-3 1.713313+2 1.023293-2 1.112176+2 1.174898-2 7.168074+1 1.364583-2 4.420162+1 1.584893-2 2.705617+1 1.862087-2 1.582593+1 2.213095-2 8.837270+0 2.630268-2 4.897468+0 3.162278-2 2.589916+0 3.890451-2 1.254814+0 5.011872-2 5.131057-1 9.772372-2 4.780678-2 1.230269-1 2.120905-2 1.479108-1 1.114664-2 1.737801-1 6.393335-3 2.018366-1 3.844275-3 2.317395-1 2.422167-3 2.630268-1 1.597882-3 2.951209-1 1.102357-3 3.311311-1 7.661516-4 3.672823-1 5.559162-4 4.073803-1 4.060849-4 4.518559-1 2.987455-4 5.011872-1 2.214595-4 5.495409-1 1.708849-4 6.025596-1 1.327295-4 6.606935-1 1.038103-4 7.244360-1 8.175029-5 8.317638-1 5.773663-5 8.912509-1 4.873604-5 9.440609-1 4.256119-5 1.000000+0 3.741000-5 1.071519+0 3.231469-5 1.148154+0 2.811095-5 1.216186+0 2.518140-5 1.348963+0 2.084127-5 1.584893+0 1.569089-5 1.798871+0 1.262855-5 2.000000+0 1.060100-5 2.264644+0 8.703320-6 2.600160+0 7.044362-6 2.985383+0 5.745869-6 3.427678+0 4.721242-6 4.000000+0 3.820000-6 4.731513+0 3.058832-6 5.688529+0 2.417041-6 6.839116+0 1.924547-6 8.413951+0 1.500882-6 1.047129+1 1.163179-6 1.333521+1 8.841683-7 1.757924+1 6.513077-7 2.511886+1 4.433082-7 3.273407+1 3.350260-7 4.954502+1 2.173965-7 8.413951+1 1.261942-7 1.678804+2 6.259328-8 3.349654+2 3.121536-8 1.333521+3 7.810513-9 1.000000+5 1.04010-10 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.697700-4 5.857500-5 1.000000+5 5.857500-5 1 34000 7 7 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.697700-4 7.379000-9 1.000000+5 7.379000-9 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.697700-4 1.111876-4 1.000000+5 1.000000+5 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.637100-4 3.491394+5 2.000000-4 4.191915+5 2.113489-4 4.430324+5 2.190000-4 4.561640+5 2.264644-4 4.658251+5 2.350000-4 4.732400+5 2.454709-4 4.781763+5 2.580000-4 4.800560+5 2.730000-4 4.785240+5 2.884032-4 4.735778+5 3.019952-4 4.663866+5 3.162278-4 4.563625+5 3.311311-4 4.438689+5 3.507519-4 4.257619+5 3.758374-4 4.020041+5 4.027170-4 3.769544+5 4.280000-4 3.538544+5 4.570882-4 3.281298+5 4.954502-4 2.967145+5 5.400000-4 2.644456+5 5.821032-4 2.376003+5 6.309573-4 2.102547+5 6.918310-4 1.814461+5 7.585776-4 1.554358+5 8.222426-4 1.348770+5 9.120108-4 1.114768+5 1.000000-3 9.347640+4 1.110000-3 7.591400+4 1.216186-3 6.289036+4 1.350000-3 5.033200+4 1.500000-3 3.990280+4 1.659587-3 3.171190+4 1.862087-3 2.421947+4 2.089296-3 1.834338+4 2.317395-3 1.418799+4 2.570396-3 1.090878+4 2.884032-3 8.088800+3 3.235937-3 5.956329+3 3.630781-3 4.356645+3 4.073803-3 3.166296+3 4.570882-3 2.286939+3 5.188000-3 1.587720+3 5.888437-3 1.094283+3 6.683439-3 7.488484+2 7.673615-3 4.912679+2 8.709636-3 3.314128+2 1.000000-2 2.141208+2 1.148154-2 1.372942+2 1.318257-2 8.739886+1 1.531087-2 5.317219+1 1.778279-2 3.210927+1 2.089296-2 1.850837+1 2.454709-2 1.059019+1 2.917427-2 5.778661+0 3.507519-2 3.004306+0 4.265795-2 1.487927+0 5.495409-2 5.940500-1 6.606934-2 3.030657-1 1.011580-1 6.364249-2 1.258925-1 2.874007-2 1.513561-1 1.482043-2 1.757924-1 8.706251-3 2.018366-1 5.368394-3 2.290868-1 3.471718-3 2.570396-1 2.353230-3 2.851018-1 1.669757-3 3.162278-1 1.193437-3 3.467369-1 8.913498-4 3.801894-1 6.702471-4 4.168694-1 5.077082-4 4.570882-1 3.875756-4 5.000000-1 3.002079-4 5.432503-1 2.387393-4 5.888437-1 1.923266-4 6.382635-1 1.559152-4 6.918310-1 1.272017-4 7.498942-1 1.044422-4 8.317638-1 8.175975-5 9.015711-1 6.806449-5 9.660509-1 5.856277-5 1.035142+0 5.073533-5 1.135011+0 4.218923-5 1.250000+0 3.503300-5 1.380384+0 2.917200-5 1.584893+0 2.283485-5 1.778279+0 1.874099-5 2.000000+0 1.543400-5 2.264644+0 1.266929-5 2.570396+0 1.043355-5 2.951209+0 8.505750-6 3.388442+0 6.984972-6 3.935501+0 5.684688-6 4.623810+0 4.588757-6 5.495409+0 3.675436-6 6.606934+0 2.922536-6 8.128305+0 2.276408-6 1.011579+1 1.762201-6 1.288250+1 1.338071-6 1.678804+1 9.972543-7 2.400000+1 6.773300-7 3.273407+1 4.877316-7 4.954502+1 3.164891-7 8.511380+1 1.815794-7 1.698244+2 9.007368-8 3.388442+2 4.492101-8 1.348963+3 1.124033-8 1.000000+5 1.51420-10 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.637100-4 5.766300-5 1.000000+5 5.766300-5 1 34000 7 7 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.637100-4 6.101700-9 1.000000+5 6.101700-9 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.637100-4 1.060409-4 1.000000+5 1.000000+5 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 6.491000-5 3.581196+5 6.606934-5 3.572507+5 6.700000-5 3.584628+5 6.770000-5 3.606660+5 6.850000-5 3.650584+5 6.920000-5 3.704916+5 7.000000-5 3.787152+5 7.079458-5 3.892426+5 7.161434-5 4.027689+5 7.244360-5 4.193093+5 7.330000-5 4.395480+5 7.413102-5 4.623447+5 7.500000-5 4.896000+5 7.620000-5 5.330680+5 7.762471-5 5.933965+5 8.230000-5 8.507440+5 8.413951-5 9.704019+5 8.570000-5 1.076044+6 8.730000-5 1.185648+6 8.850000-5 1.267168+6 9.000000-5 1.366964+6 9.150000-5 1.463196+6 9.300000-5 1.554528+6 9.450000-5 1.640512+6 9.580000-5 1.710532+6 9.772372-5 1.806274+6 9.980000-5 1.899500+6 1.020000-4 1.987920+6 1.047129-4 2.084074+6 1.080000-4 2.184992+6 1.110000-4 2.265104+6 1.150000-4 2.357580+6 1.190000-4 2.436284+6 1.240000-4 2.517116+6 1.291500-4 2.580097+6 1.333521-4 2.615603+6 1.380384-4 2.639344+6 1.430000-4 2.646776+6 1.480000-4 2.636916+6 1.540000-4 2.605348+6 1.603245-4 2.554543+6 1.678804-4 2.478978+6 1.760000-4 2.387800+6 1.862087-4 2.265807+6 1.972423-4 2.130572+6 2.089296-4 1.988359+6 2.190000-4 1.867248+6 2.306300-4 1.730999+6 2.426610-4 1.596125+6 2.580000-4 1.436472+6 2.754229-4 1.274796+6 2.951209-4 1.116561+6 3.162278-4 9.716021+5 3.388442-4 8.396044+5 3.630781-4 7.205276+5 3.935501-4 5.982352+5 4.315191-4 4.802103+5 4.700000-4 3.887340+5 5.069907-4 3.202650+5 5.559043-4 2.511216+5 6.095369-4 1.956782+5 6.700000-4 1.503196+5 7.413102-4 1.124317+5 8.128305-4 8.581524+4 9.015711-4 6.286325+4 1.023293-3 4.255833+4 1.150000-3 2.944236+4 1.303167-3 1.966207+4 1.462177-3 1.344672+4 1.621810-3 9.492343+3 1.798871-3 6.659700+3 2.000000-3 4.607280+3 2.264644-3 2.967724+3 2.570396-3 1.881579+3 2.917427-3 1.184076+3 3.311311-3 7.395338+2 3.758374-3 4.585675+2 4.315191-3 2.701385+2 4.897788-3 1.651313+2 5.559043-3 1.002402+2 6.382635-3 5.770842+1 7.244360-3 3.454530+1 8.317638-3 1.958609+1 9.549926-3 1.102361+1 1.109175-2 5.869962+0 1.303167-2 2.955448+0 1.584893-2 1.273774+0 1.927525-2 5.449718-1 2.371374-2 2.198614-1 3.090295-2 6.834609-2 4.265795-2 1.635106-2 6.165950-2 3.181182-3 7.673615-2 1.211331-3 9.225714-2 5.409014-4 1.083927-1 2.690461-4 1.258925-1 1.417111-4 1.445440-1 7.900397-5 1.640590-1 4.657928-5 1.862087-1 2.767385-5 2.089296-1 1.736290-5 2.344229-1 1.097437-5 2.600160-1 7.312695-6 2.884032-1 4.907408-6 3.198895-1 3.317252-6 3.507519-1 2.358083-6 3.845918-1 1.688326-6 4.120975-1 1.321446-6 4.518559-1 9.602618-7 5.011872-1 6.757668-7 5.495409-1 4.968695-7 5.956621-1 3.821122-7 6.382635-1 3.075993-7 6.918310-1 2.405698-7 7.585776-1 1.830959-7 8.035261-1 1.548113-7 8.609938-1 1.257653-7 9.015711-1 1.100939-7 9.440609-1 9.696056-8 9.772372-1 8.857768-8 1.011579+0 8.131761-8 1.059254+0 7.308422-8 1.109175+0 6.616707-8 1.161449+0 6.029914-8 1.216186+0 5.527875-8 1.318257+0 4.792761-8 1.531087+0 3.727930-8 1.819701+0 2.771006-8 2.018366+0 2.334805-8 2.290868+0 1.910702-8 2.630268+0 1.547508-8 3.019952+0 1.263055-8 3.507519+0 1.021939-8 4.073803+0 8.330979-9 4.786301+0 6.735455-9 5.754399+0 5.324915-9 7.000000+0 4.181600-9 8.709636+0 3.220774-9 1.100000+1 2.457100-9 1.412538+1 1.853171-9 1.883649+1 1.350378-9 2.540973+1 9.78851-10 3.349654+1 7.30915-10 5.069907+1 4.74477-10 8.709636+1 2.72310-10 1.737801+2 1.35104-10 3.467369+2 6.73887-11 2.754229+3 8.44377-12 1.000000+5 2.32470-13 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 6.491000-5 3.195400-5 1.000000+5 3.195400-5 1 34000 7 7 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 6.491000-5 1.906500-9 1.000000+5 1.906500-9 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 6.491000-5 3.295409-5 1.000000+5 1.000000+5 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 6.397000-5 5.483448+5 6.510000-5 5.455014+5 6.606934-5 5.463436+5 6.700000-5 5.506974+5 6.770000-5 5.566866+5 6.850000-5 5.666436+5 6.920000-5 5.782458+5 7.000000-5 5.950518+5 7.079458-5 6.157181+5 7.161434-5 6.413849+5 7.244360-5 6.720292+5 7.330000-5 7.087620+5 7.413102-5 7.494523+5 7.540000-5 8.212800+5 7.673615-5 9.094456+5 8.150000-5 1.315914+6 8.317638-5 1.483953+6 8.485300-5 1.658283+6 8.609938-5 1.789261+6 8.730000-5 1.914714+6 8.850000-5 2.037960+6 9.015711-5 2.202548+6 9.150000-5 2.329698+6 9.300000-5 2.464014+6 9.486800-5 2.619098+6 9.660509-5 2.750967+6 9.850000-5 2.881806+6 1.000000-4 2.976372+6 1.023293-4 3.109151+6 1.050000-4 3.243108+6 1.083927-4 3.390400+6 1.122018-4 3.531599+6 1.161449-4 3.655965+6 1.205000-4 3.770880+6 1.244515-4 3.855673+6 1.291500-4 3.932451+6 1.333521-4 3.978530+6 1.380384-4 4.005236+6 1.430000-4 4.006692+6 1.480000-4 3.983322+6 1.540000-4 3.928056+6 1.603245-4 3.845356+6 1.678804-4 3.724775+6 1.760000-4 3.580914+6 1.862087-4 3.392217+6 1.972423-4 3.185984+6 2.089296-4 2.968604+6 2.190000-4 2.784114+6 2.317395-4 2.558088+6 2.454709-4 2.328512+6 2.600160-4 2.104687+6 2.809100-4 1.822151+6 3.019952-4 1.581191+6 3.235937-4 1.371311+6 3.467369-4 1.181084+6 3.722400-4 1.006139+6 4.100000-4 8.016600+5 4.466836-4 6.508540+5 4.850000-4 5.289864+5 5.248075-4 4.307833+5 5.821032-4 3.263269+5 6.382635-4 2.531020+5 6.918310-4 2.014678+5 7.800000-4 1.421502+5 8.709636-4 1.022457+5 9.772372-4 7.183341+4 1.083927-3 5.192051+4 1.202264-3 3.726902+4 1.333521-3 2.658990+4 1.462177-3 1.958752+4 1.621810-3 1.381072+4 1.798871-3 9.677801+3 2.018366-3 6.475424+3 2.264644-3 4.301848+3 2.570396-3 2.722271+3 2.917427-3 1.709393+3 3.311311-3 1.065619+3 3.758374-3 6.595432+2 4.315191-3 3.876726+2 4.897788-3 2.364701+2 5.559043-3 1.432371+2 6.309573-3 8.615086+1 7.244360-3 4.908486+1 8.222426-3 2.910775+1 9.440609-3 1.633900+1 1.096478-2 8.673831+0 1.288250-2 4.350979+0 1.531087-2 2.061381+0 1.840772-2 9.218820-1 2.290868-2 3.515915-1 2.851018-2 1.330527-1 3.388442-2 6.137178-2 6.165950-2 4.133594-3 7.673615-2 1.553872-3 9.225714-2 6.867076-4 1.096478-1 3.217953-4 1.258925-1 1.767097-4 1.428894-1 1.027432-4 1.603245-1 6.318992-5 1.778279-1 4.106117-5 1.972423-1 2.686385-5 2.187762-1 1.769595-5 2.398833-1 1.229733-5 2.600160-1 8.999879-6 2.818383-1 6.630176-6 3.054921-1 4.918149-6 3.311311-1 3.674736-6 3.589219-1 2.764222-6 3.890451-1 2.092667-6 4.265795-1 1.531771-6 4.623810-1 1.173686-6 5.000000-1 9.130500-7 5.370318-1 7.315267-7 5.821032-1 5.740260-7 6.382635-1 4.387312-7 6.839117-1 3.610414-7 7.328245-1 2.992020-7 7.852356-1 2.499408-7 8.413951-1 2.101643-7 9.015711-1 1.779355-7 9.549926-1 1.558688-7 1.011579+0 1.374409-7 1.096478+0 1.162708-7 1.174898+0 1.014232-7 1.273503+0 8.718471-8 1.412538+0 7.230810-8 1.678804+0 5.347387-8 1.883649+0 4.403204-8 2.113489+0 3.653666-8 2.398833+0 2.997588-8 2.754229+0 2.434204-8 3.162278+0 1.991793-8 3.672823+0 1.615471-8 4.315191+0 1.299771-8 5.128614+0 1.037984-8 6.165950+0 8.230014-9 7.498942+0 6.482410-9 9.332543+0 5.004055-9 1.188502+1 3.790014-9 1.566751+1 2.783008-9 2.018366+1 2.111175-9 2.691535+1 1.550782-9 4.265795+1 9.56047-10 7.079458+1 5.66904-10 1.412538+2 2.80697-10 2.818383+2 1.39828-10 1.122018+3 3.49629-11 1.000000+5 3.91610-13 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 6.397000-5 3.200000-5 1.000000+5 3.200000-5 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 6.397000-5 3.197000-5 1.000000+5 1.000000+5 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 2.099000-5 6.655260+4 2.113489-5 6.047443+4 2.135000-5 5.220780+4 2.155000-5 4.529260+4 2.177000-5 3.851920+4 2.192000-5 3.434760+4 2.213095-5 2.908628+4 2.227000-5 2.597120+4 2.242000-5 2.290480+4 2.257000-5 2.013440+4 2.272000-5 1.764348+4 2.290868-5 1.488367+4 2.317395-5 1.165599+4 2.350000-5 8.638780+3 2.365000-5 7.572160+3 2.377000-5 6.854320+3 2.388000-5 6.297340+3 2.398833-5 5.839204+3 2.407000-5 5.550900+3 2.415000-5 5.314500+3 2.423000-5 5.122260+3 2.431000-5 4.972600+3 2.438000-5 4.875900+3 2.446000-5 4.803160+3 2.452000-5 4.774220+3 2.460000-5 4.769180+3 2.467000-5 4.795180+3 2.473000-5 4.839340+3 2.481000-5 4.929040+3 2.489000-5 5.052800+3 2.496000-5 5.188200+3 2.505000-5 5.398260+3 2.515000-5 5.677540+3 2.525000-5 6.003200+3 2.540973-5 6.615235+3 2.560000-5 7.482920+3 2.610000-5 1.040004+4 2.630268-5 1.181443+4 2.650000-5 1.330362+4 2.670000-5 1.491618+4 2.691535-5 1.675801+4 2.710000-5 1.841648+4 2.730000-5 2.028740+4 2.754229-5 2.264776+4 2.777000-5 2.494920+4 2.800000-5 2.734500+4 2.830000-5 3.056260+4 2.860000-5 3.386840+4 2.885000-5 3.667900+4 2.920000-5 4.068140+4 2.951209-5 4.429931+4 2.990000-5 4.883980+4 3.020000-5 5.237140+4 3.060000-5 5.708920+4 3.100000-5 6.179880+4 3.150000-5 6.764800+4 3.198895-5 7.330407+4 3.245000-5 7.855880+4 3.300000-5 8.470860+4 3.350000-5 9.016780+4 3.420000-5 9.757600+4 3.470000-5 1.026878+5 3.548134-5 1.103582+5 3.630781-5 1.180358+5 3.715352-5 1.254183+5 3.801894-5 1.324744+5 3.900000-5 1.398684+5 4.000000-5 1.467562+5 4.120975-5 1.542412+5 4.260000-5 1.617520+5 4.415704-5 1.688730+5 4.570882-5 1.747272+5 4.731513-5 1.796071+5 4.900000-5 1.835694+5 5.080000-5 1.866426+5 5.308844-5 1.890528+5 5.559043-5 1.900884+5 5.821032-5 1.897419+5 6.095369-5 1.881596+5 6.400000-5 1.852884+5 6.760830-5 1.808309+5 7.161434-5 1.750086+5 7.585776-5 1.683097+5 8.128305-5 1.594954+5 8.810489-5 1.485986+5 9.660509-5 1.359270+5 1.059254-4 1.234760+5 1.174898-4 1.100301+5 1.303167-4 9.735247+4 1.450000-4 8.519500+4 1.640590-4 7.240967+4 2.000000-4 5.518160+4 2.511886-4 4.012629+4 2.884032-4 3.286543+4 3.427678-4 2.537663+4 4.216965-4 1.846349+4 5.308844-4 1.283944+4 6.309573-4 9.730302+3 7.413102-4 7.451678+3 8.810489-4 5.557226+3 1.059254-3 4.033976+3 1.258925-3 2.965235+3 1.513561-3 2.118665+3 1.798871-3 1.535005+3 2.137962-3 1.103800+3 2.540973-3 7.875222+2 3.000000-3 5.649480+2 3.548134-3 4.007811+2 4.216965-3 2.792660+2 5.000000-3 1.940212+2 5.888437-3 1.357448+2 6.918310-3 9.476846+1 8.128305-3 6.567295+1 9.549926-3 4.515402+1 1.148154-2 2.917044+1 1.318257-2 2.088176+1 1.531087-2 1.442888+1 1.798871-2 9.616706+0 2.113489-2 6.361454+0 2.483133-2 4.178041+0 2.917427-2 2.724577+0 3.467369-2 1.709693+0 4.120975-2 1.064714+0 4.954502-2 6.374638-1 5.956621-2 3.784934-1 7.328245-2 2.089176-1 9.332543-2 1.035791-1 1.148154-1 5.637998-2 1.862087-1 1.356339-2 2.371374-1 6.692321-3 2.786121-1 4.207446-3 3.235937-1 2.754513-3 3.672823-1 1.938298-3 4.120975-1 1.417860-3 4.623810-1 1.044939-3 5.128614-1 7.996283-4 5.688529-1 6.164381-4 6.237348-1 4.923849-4 6.839117-1 3.958734-4 7.498942-1 3.203660-4 8.317638-1 2.544274-4 9.120108-1 2.087785-4 9.885531-1 1.767457-4 1.135011+0 1.342670-4 1.258925+0 1.100102-4 1.396368+0 9.075820-5 1.566751+0 7.385096-5 1.757924+0 6.056381-5 1.972423+0 5.004728-5 2.238721+0 4.090283-5 2.540973+0 3.366356-5 2.917427+0 2.742374-5 3.349654+0 2.250729-5 3.890451+0 1.830741-5 4.570882+0 1.476974-5 5.432503+0 1.182434-5 6.531306+0 9.397834-6 8.035261+0 7.316892-6 1.000000+1 5.661900-6 1.273503+1 4.297690-6 1.659587+1 3.202227-6 2.317395+1 2.229852-6 3.090295+1 1.642849-6 4.731513+1 1.052496-6 8.035261+1 6.105225-7 1.603245+2 3.027018-7 3.198895+2 1.509188-7 1.273503+3 3.775463-8 1.000000+5 4.80080-10 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 2.099000-5 2.099000-5 1.000000+5 2.099000-5 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.099000-5 0.0 1.000000+5 1.000000+5 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 9.820000-6 1.991528+7 1.000000-5 1.989195+7 1.035142-5 1.969424+7 1.060000-5 1.946328+7 1.096478-5 1.900255+7 1.135011-5 1.837910+7 1.165000-5 1.782876+7 1.202264-5 1.706859+7 1.244515-5 1.614518+7 1.290000-5 1.511383+7 1.333521-5 1.411403+7 1.380384-5 1.304672+7 1.428894-5 1.197435+7 1.480000-5 1.089849+7 1.531087-5 9.891452+6 1.590000-5 8.823591+6 1.659587-5 7.694168+6 1.737801-5 6.590210+6 1.830000-5 5.493066+6 1.927525-5 4.542659+6 2.041738-5 3.655671+6 2.187762-5 2.795851+6 2.400000-5 1.935315+6 2.691535-5 1.217779+6 3.589219-5 3.771771+5 3.935501-5 2.606853+5 4.216965-5 1.987206+5 4.466836-5 1.594383+5 4.677351-5 1.344355+5 4.900000-5 1.139128+5 5.080000-5 1.007333+5 5.248075-5 9.059939+4 5.450000-5 8.065340+4 5.650000-5 7.272195+4 5.850000-5 6.630437+4 6.025596-5 6.167189+4 6.237348-5 5.708784+4 6.456542-5 5.326916+4 6.683439-5 5.009890+4 6.918310-5 4.747176+4 7.161434-5 4.529425+4 7.413102-5 4.348609+4 7.673615-5 4.198012+4 8.035261-5 4.034315+4 8.500000-5 3.876164+4 9.120108-5 3.719415+4 1.220000-4 3.218112+4 1.364583-4 3.021700+4 1.500000-4 2.846913+4 1.650000-4 2.663273+4 1.819701-4 2.470067+4 2.018366-4 2.265392+4 2.264644-4 2.042956+4 2.500000-4 1.856942+4 2.722701-4 1.699495+4 2.951209-4 1.553201+4 3.235937-4 1.390908+4 3.589219-4 1.219151+4 4.000000-4 1.053577+4 4.466836-4 9.007672+3 5.011872-4 7.590575+3 5.559043-4 6.471365+3 6.095369-4 5.581738+3 6.760830-4 4.689152+3 7.498942-4 3.908493+3 8.317638-4 3.233781+3 9.332543-4 2.599667+3 1.035142-3 2.122035+3 1.148154-3 1.719987+3 1.273503-3 1.384778+3 1.428894-3 1.080118+3 1.603245-3 8.361538+2 1.798871-3 6.424792+2 2.018366-3 4.899614+2 2.264644-3 3.708268+2 2.540973-3 2.786313+2 2.851018-3 2.078867+2 3.198895-3 1.540423+2 3.630781-3 1.099287+2 4.120975-3 7.784755+1 4.677351-3 5.472411+1 5.188000-3 4.086600+1 5.821032-3 2.931744+1 6.683439-3 1.952947+1 7.673615-3 1.290636+1 8.810489-3 8.462842+0 1.011579-2 5.507455+0 1.161449-2 3.558213+0 1.333521-2 2.282571+0 1.548817-2 1.400228+0 1.819701-2 8.207160-1 2.162719-2 4.592433-1 2.570396-2 2.550264-1 3.090295-2 1.351414-1 3.801894-2 6.557949-2 4.841724-2 2.797850-2 9.885531-2 2.216214-3 1.244515-1 9.837347-4 1.500000-1 5.128500-4 1.757924-1 2.969078-4 2.041738-1 1.786366-4 2.344229-1 1.126149-4 2.660725-1 7.432960-5 3.000000-1 5.051200-5 3.349654-1 3.567442-5 3.715352-1 2.589840-5 4.120975-1 1.893181-5 4.570882-1 1.394133-5 5.069907-1 1.034356-5 5.623413-1 7.733913-6 6.165950-1 6.014477-6 6.760830-1 4.710124-6 7.413102-1 3.714344-6 8.609938-1 2.553195-6 9.225714-1 2.163094-6 9.772372-1 1.896342-6 1.035142+0 1.674076-6 1.109175+0 1.451106-6 1.188600+0 1.266900-6 1.318257+0 1.046808-6 1.479108+0 8.532687-7 1.698244+0 6.709823-7 1.905461+0 5.528668-7 2.137962+0 4.591045-7 2.426610+0 3.769105-7 2.786121+0 3.062648-7 3.198895+0 2.507504-7 3.715352+0 2.034912-7 4.365158+0 1.638120-7 5.188000+0 1.308840-7 6.237348+0 1.038297-7 7.585776+0 8.181741-8 9.440609+0 6.318487-8 1.202264+1 4.787275-8 1.584893+1 3.516531-8 2.065380+1 2.635477-8 2.800000+1 1.902500-8 4.518559+1 1.152477-8 7.585776+1 6.759394-9 1.513561+2 3.349439-9 3.019952+2 1.669327-9 1.202264+3 4.17504-10 1.000000+5 5.01150-12 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 9.820000-6 9.820000-6 1.000000+5 9.820000-6 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 9.820000-6 0.0 1.000000+5 1.000000+5 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 9.400000-6 4.145205+7 9.700000-6 4.105632+7 1.000000-5 4.042565+7 1.023293-5 3.979726+7 1.060000-5 3.858058+7 1.096478-5 3.715088+7 1.135011-5 3.548409+7 1.174898-5 3.363228+7 1.216186-5 3.163481+7 1.258925-5 2.953908+7 1.303167-5 2.738878+7 1.350000-5 2.517406+7 1.400000-5 2.291616+7 1.445440-5 2.098276+7 1.500000-5 1.882685+7 1.566751-5 1.644674+7 1.640590-5 1.413959+7 1.717908-5 1.206689+7 1.800000-5 1.020993+7 1.905461-5 8.265459+6 2.018366-5 6.630967+6 2.162719-5 5.056689+6 2.371374-5 3.494677+6 3.311311-5 8.923023+5 3.650000-5 6.026674+5 3.900000-5 4.641019+5 4.150000-5 3.657045+5 4.365158-5 3.032952+5 4.570882-5 2.575112+5 4.731513-5 2.289567+5 4.900000-5 2.043387+5 5.080000-5 1.828818+5 5.248075-5 1.664818+5 5.432503-5 1.517307+5 5.623413-5 1.393299+5 5.821032-5 1.289380+5 6.025596-5 1.202589+5 6.237348-5 1.130363+5 6.456542-5 1.070429+5 6.683439-5 1.020731+5 6.918310-5 9.794654+4 7.161434-5 9.450986+4 7.500000-5 9.076571+4 7.900000-5 8.741451+4 8.413951-5 8.415358+4 1.109175-4 7.315225+4 1.244515-4 6.851628+4 1.380384-4 6.412146+4 1.513561-4 6.005839+4 1.659587-4 5.589884+4 1.850000-4 5.096513+4 2.065380-4 4.607142+4 2.306300-4 4.136834+4 2.540973-4 3.740314+4 2.754229-4 3.419954+4 3.019952-4 3.064711+4 3.311311-4 2.727049+4 3.672823-4 2.372870+4 4.073803-4 2.049477+4 4.570882-4 1.728393+4 5.188000-4 1.421238+4 5.754399-4 1.203622+4 6.309573-4 1.031633+4 7.000000-4 8.604357+3 7.762471-4 7.127198+3 8.609938-4 5.859860+3 9.660509-4 4.680715+3 1.071519-3 3.797763+3 1.188502-3 3.059949+3 1.318257-3 2.449174+3 1.479108-3 1.898115+3 1.659587-3 1.460263+3 1.862087-3 1.115006+3 2.089296-3 8.450641+2 2.344229-3 6.357579+2 2.630268-3 4.748799+2 2.951209-3 3.522422+2 3.311311-3 2.595301+2 3.715352-3 1.899350+2 4.168694-3 1.380515+2 4.731513-3 9.642353+1 5.370318-3 6.684298+1 6.165950-3 4.446658+1 7.079458-3 2.935879+1 8.128305-3 1.923028+1 9.332543-3 1.249520+1 1.071519-2 8.056808+0 1.230269-2 5.156370+0 1.412538-2 3.275120+0 1.640590-2 1.987574+0 1.905461-2 1.197371+0 2.238721-2 6.886682-1 2.660725-2 3.777529-1 3.162278-2 2.056162-1 3.845918-2 1.023271-1 4.786301-2 4.652409-2 6.165950-2 1.850961-2 1.083927-1 2.356255-3 1.333521-1 1.111568-3 1.584893-1 5.985435-4 1.819701-1 3.670895-4 2.065380-1 2.360396-4 2.317395-1 1.590058-4 2.600160-1 1.078876-4 2.884032-1 7.663139-5 3.198895-1 5.483576-5 3.507519-1 4.100208-5 3.845918-1 3.086817-5 4.216965-1 2.341151-5 4.623810-1 1.789379-5 5.011872-1 1.423619-5 5.432503-1 1.139849-5 5.888437-1 9.184924-6 6.382635-1 7.450924-6 6.918310-1 6.084404-6 7.498942-1 5.000955-6 8.317638-1 3.920095-6 9.015711-1 3.266422-6 9.660509-1 2.812109-6 1.035142+0 2.437130-6 1.135011+0 2.027020-6 1.250000+0 1.683100-6 1.380384+0 1.401289-6 1.584893+0 1.096681-6 1.778279+0 9.000515-7 2.000000+0 7.412700-7 2.264644+0 6.085185-7 2.570396+0 5.011301-7 2.951209+0 4.085208-7 3.388442+0 3.354843-7 3.935501+0 2.730363-7 4.623810+0 2.203932-7 5.495409+0 1.765257-7 6.606934+0 1.403610-7 8.128305+0 1.093314-7 1.011579+1 8.463470-8 1.288250+1 6.426487-8 1.678804+1 4.789806-8 2.400000+1 3.253100-8 3.273407+1 2.342487-8 4.954502+1 1.520110-8 8.413951+1 8.823874-9 1.678804+2 4.376671-9 3.349654+2 2.182657-9 1.333521+3 5.46139-10 1.000000+5 7.27240-12 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 9.400000-6 9.400000-6 1.000000+5 9.400000-6 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 9.400000-6 0.0 1.000000+5 1.000000+5 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 5.787270-8 1.028750+0 5.787270-7 1.030100+0 9.960400-7 1.031000+0 1.362920-6 1.032000+0 1.864820-6 1.033200+0 2.612300-6 1.034000+0 3.206840-6 1.035300+0 4.352820-6 1.036640+0 5.787270-6 1.038200+0 7.810110-6 1.039700+0 1.014690-5 1.041500+0 1.350030-5 1.043800+0 1.873890-5 1.046400+0 2.607170-5 1.048300+0 3.245990-5 1.051200+0 4.403120-5 1.054080+0 5.787270-5 1.057700+0 7.888420-5 1.061100+0 1.026090-4 1.065100+0 1.358430-4 1.070400+0 1.895150-4 1.076200+0 2.619090-4 1.080600+0 3.270810-4 1.087100+0 4.406860-4 1.093710+0 5.787270-4 1.102600+0 8.023890-4 1.110700+0 1.046460-3 1.120600+0 1.399820-3 1.133300+0 1.946320-3 1.147500+0 2.687260-3 1.158200+0 3.339580-3 1.174100+0 4.463530-3 1.190110+0 5.787270-3 1.205100+0 7.204260-3 1.227500+0 9.642600-3 1.250000+0 1.246000-2 1.265600+0 1.461230-2 1.294900+0 1.905820-2 1.331800+0 2.532710-2 1.362600+0 3.105840-2 1.411700+0 4.101950-2 1.455800+0 5.075140-2 1.500000+0 6.126000-2 1.562500+0 7.747690-2 1.617200+0 9.294740-2 1.712900+0 1.226150-1 1.784700+0 1.467420-1 1.892300+0 1.851160-1 2.000000+0 2.250000-1 2.044000+0 2.414000-1 2.163500+0 2.866010-1 2.372600+0 3.674350-1 2.647100+0 4.744840-1 3.000000+0 6.100000-1 3.437500+0 7.706580-1 4.000000+0 9.643000-1 4.750000+0 1.201900+0 5.000000+0 1.276000+0 6.000000+0 1.549000+0 7.000000+0 1.794000+0 8.000000+0 2.013000+0 9.000000+0 2.213000+0 1.000000+1 2.394000+0 1.100000+1 2.560000+0 1.200000+1 2.711000+0 1.300000+1 2.850000+0 1.400000+1 2.979000+0 1.500000+1 3.100000+0 1.600000+1 3.213000+0 1.800000+1 3.419000+0 2.000000+1 3.605000+0 2.200000+1 3.772000+0 2.400000+1 3.925000+0 2.600000+1 4.064000+0 2.800000+1 4.192000+0 3.000000+1 4.310000+0 4.000000+1 4.791000+0 5.000000+1 5.149000+0 6.000000+1 5.428000+0 8.000000+1 5.841000+0 1.000000+2 6.135000+0 1.500000+2 6.602000+0 2.000000+2 6.881000+0 3.000000+2 7.205000+0 4.000000+2 7.392000+0 5.000000+2 7.515000+0 6.000000+2 7.602000+0 8.000000+2 7.719000+0 1.000000+3 7.795000+0 1.500000+3 7.905000+0 2.000000+3 7.964000+0 3.000000+3 8.029000+0 4.000000+3 8.064000+0 5.000000+3 8.086000+0 6.000000+3 8.101000+0 8.000000+3 8.121000+0 1.000000+4 8.133000+0 1.500000+4 8.151000+0 2.000000+4 8.160000+0 3.000000+4 8.170000+0 4.000000+4 8.175000+0 5.000000+4 8.178000+0 6.000000+4 8.180000+0 8.000000+4 8.183000+0 1.000000+5 8.185000+0 1 34000 7 8 7.896000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 3.412150-7 2.106600+0 1.111720-6 2.114000+0 1.538200-6 2.119500+0 1.915050-6 2.127900+0 2.597170-6 2.136250+0 3.412150-6 2.147000+0 4.678300-6 2.156900+0 6.076550-6 2.169000+0 8.109530-6 2.184500+0 1.127250-5 2.201800+0 1.559590-5 2.214800+0 1.943120-5 2.234200+0 2.613840-5 2.253680+0 3.412150-5 2.281500+0 4.779320-5 2.307000+0 6.277630-5 2.338200+0 8.440820-5 2.377400+0 1.168950-4 2.410200+0 1.486710-4 2.446800+0 1.891180-4 2.485900+0 2.381100-4 2.532900+0 3.047300-4 2.556430+0 3.412150-4 2.611900+0 4.350850-4 2.660400+0 5.259920-4 2.745300+0 7.040010-4 2.809000+0 8.525810-4 2.904500+0 1.098320-3 3.000000+0 1.371000-3 3.125000+0 1.767920-3 3.234400+0 2.151280-3 3.425800+0 2.897300-3 3.569300+0 3.513600-3 3.784700+0 4.517470-3 4.000000+0 5.597000-3 4.250000+0 6.917240-3 4.625000+0 8.992610-3 5.000000+0 1.115000-2 5.500000+0 1.411000-2 6.000000+0 1.711000-2 6.750000+0 2.157870-2 7.000000+0 2.305000-2 8.000000+0 2.881000-2 9.000000+0 3.433000-2 1.000000+1 3.957000-2 1.100000+1 4.454000-2 1.200000+1 4.922000-2 1.300000+1 5.364000-2 1.400000+1 5.785000-2 1.500000+1 6.184000-2 1.600000+1 6.563000-2 1.800000+1 7.267000-2 2.000000+1 7.907000-2 2.200000+1 8.495000-2 2.400000+1 9.036000-2 2.600000+1 9.535000-2 2.800000+1 1.000000-1 3.000000+1 1.043000-1 4.000000+1 1.223000-1 5.000000+1 1.360000-1 6.000000+1 1.469000-1 8.000000+1 1.633000-1 1.000000+2 1.754000-1 1.500000+2 1.954000-1 2.000000+2 2.079000-1 3.000000+2 2.234000-1 4.000000+2 2.328000-1 5.000000+2 2.391000-1 6.000000+2 2.438000-1 8.000000+2 2.503000-1 1.000000+3 2.546000-1 1.500000+3 2.610000-1 2.000000+3 2.646000-1 3.000000+3 2.685000-1 4.000000+3 2.708000-1 5.000000+3 2.722000-1 6.000000+3 2.732000-1 8.000000+3 2.746000-1 1.000000+4 2.754000-1 1.500000+4 2.765000-1 2.000000+4 2.772000-1 3.000000+4 2.778000-1 4.000000+4 2.782000-1 5.000000+4 2.785000-1 6.000000+4 2.786000-1 8.000000+4 2.788000-1 1.000000+5 2.789000-1 1 34000 7 8 7.896000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 34000 7 9 7.896000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 3.400000+1 1.000000+5 3.400000+1 5.000000+5 3.398800+1 6.718700+5 3.397860+1 7.890600+5 3.397350+1 9.296900+5 3.396830+1 1.000000+6 3.396600+1 1.500000+6 3.393200+1 1.875000+6 3.389380+1 2.000000+6 3.387900+1 2.500000+6 3.381100+1 3.000000+6 3.373000+1 3.750000+6 3.358090+1 4.000000+6 3.352600+1 4.750000+6 3.333900+1 5.000000+6 3.327200+1 5.500000+6 3.312740+1 6.250000+6 3.288790+1 6.500000+6 3.280270+1 7.000000+6 3.262800+1 7.875000+6 3.229890+1 8.500000+6 3.205000+1 8.625000+6 3.199810+1 9.000000+6 3.184700+1 1.000000+7 3.142400+1 1.109400+7 3.093690+1 1.187500+7 3.057720+1 1.203100+7 3.050570+1 1.250000+7 3.029000+1 1.375000+7 2.970550+1 1.437500+7 2.941540+1 1.500000+7 2.912700+1 1.687500+7 2.827110+1 1.750000+7 2.799300+1 1.937500+7 2.717140+1 2.000000+7 2.690800+1 2.250000+7 2.589340+1 2.375000+7 2.541340+1 2.500000+7 2.495300+1 2.750000+7 2.407330+1 2.875000+7 2.365510+1 3.000000+7 2.324900+1 3.437500+7 2.189930+1 3.812500+7 2.081220+1 4.000000+7 2.028900+1 4.437500+7 1.910210+1 4.812500+7 1.812020+1 5.000000+7 1.764200+1 5.437500+7 1.654960+1 5.812500+7 1.565060+1 6.000000+7 1.521600+1 6.500000+7 1.410380+1 7.000000+7 1.307500+1 7.750000+7 1.169520+1 8.000000+7 1.128100+1 9.000000+7 9.845200+0 1.000000+8 8.730600+0 1.062500+8 8.172570+0 1.125000+8 7.700990+0 1.156300+8 7.492540+0 1.250000+8 6.960800+0 1.359400+8 6.480090+0 1.437500+8 6.200090+0 1.500000+8 6.002500+0 1.718800+8 5.415760+0 1.750000+8 5.337620+0 1.841800+8 5.107230+0 1.947300+8 4.839100+0 2.000000+8 4.702400+0 2.375000+8 3.798070+0 2.500000+8 3.570200+0 2.718800+8 3.248380+0 2.815400+8 3.107740+0 2.875000+8 3.015760+0 2.881300+8 3.005670+0 2.960400+8 2.874740+0 3.000000+8 2.805400+0 3.062500+8 2.691130+0 3.335900+8 2.229250+0 3.418000+8 2.124430+0 3.500000+8 2.040700+0 3.562500+8 1.991360+0 3.617200+8 1.955870+0 4.000000+8 1.779300+0 4.121100+8 1.713980+0 4.231000+8 1.649050+0 4.461700+8 1.510200+0 4.730800+8 1.366320+0 4.910300+8 1.288760+0 5.000000+8 1.256400+0 5.125000+8 1.218640+0 5.234400+8 1.190930+0 5.425800+8 1.151330+0 6.000000+8 1.061800+0 6.250000+8 1.024120+0 6.812500+8 9.413410-1 7.000000+8 9.161000-1 7.625000+8 8.391200-1 8.000000+8 7.930000-1 8.359400+8 7.465730-1 8.660200+8 7.072650-1 8.995100+8 6.642750-1 9.354000+8 6.199150-1 1.000000+9 5.468000-1 1.062500+9 4.850480-1 1.141100+9 4.184510-1 1.206900+9 3.706040-1 1.280200+9 3.244260-1 1.358700+9 2.819490-1 1.429300+9 2.489970-1 1.500000+9 2.201900-1 1.562500+9 1.977620-1 1.671900+9 1.644210-1 1.753900+9 1.436420-1 1.877000+9 1.179360-1 2.000000+9 9.754500-2 2.093800+9 8.480490-2 2.275400+9 6.541070-2 2.445700+9 5.193880-2 2.680200+9 3.850610-2 2.895300+9 2.976600-2 3.158400+9 2.216310-2 3.496000+9 1.561620-2 3.872000+9 1.092540-2 4.516600+9 6.331310-3 5.000000+9 4.403500-3 8.000000+9 8.153000-4 1.00000+10 3.672200-4 1.20500+10 1.900920-4 1.41820+10 1.076660-4 1.71170+10 5.626590-5 2.01490+10 3.225130-5 2.26440+10 2.172560-5 2.74790+10 1.135210-5 3.41360+10 5.527400-6 4.02450+10 3.218450-6 4.77140+10 1.847880-6 5.73000+10 1.022130-6 7.25500+10 4.795930-7 9.08500+10 2.345420-7 1.00000+11 1.731200-7 1.34280+11 6.850350-8 1.77440+11 2.871140-8 2.63330+11 8.471610-9 3.75720+11 2.852640-9 6.61190+11 5.14698-10 1.48990+12 4.54569-11 4.26460+12 2.06088-12 1.00000+14 2.22120-16 5.62340+14 1.45707-18 7.49890+15 7.21845-22 1.00000+17 3.42070-25 1 34000 7 0 7.896000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 3.80000-12 1.000000+2 3.80000-10 1.000000+3 3.800000-8 1.000000+4 3.800000-6 1.000000+5 3.800000-4 5.000000+5 9.500000-3 6.718700+5 1.715355-2 7.890600+5 2.365940-2 9.296900+5 3.284429-2 1.000000+6 3.800000-2 1.500000+6 8.590000-2 1.875000+6 1.336160-1 2.000000+6 1.517000-1 2.500000+6 2.350000-1 3.000000+6 3.350000-1 3.750000+6 5.138290-1 4.000000+6 5.806000-1 4.750000+6 7.999630-1 5.000000+6 8.790000-1 5.500000+6 1.044520+0 6.250000+6 1.309390+0 6.500000+6 1.401450+0 7.000000+6 1.590400+0 7.875000+6 1.932940+0 8.500000+6 2.184530+0 8.625000+6 2.235170+0 9.000000+6 2.388300+0 1.000000+7 2.799000+0 1.109400+7 3.247790+0 1.187500+7 3.565760+0 1.203100+7 3.628640+0 1.250000+7 3.817500+0 1.375000+7 4.312190+0 1.437500+7 4.554420+0 1.500000+7 4.794000+0 1.687500+7 5.491320+0 1.750000+7 5.717200+0 1.937500+7 6.375520+0 2.000000+7 6.589000+0 2.250000+7 7.411130+0 2.375000+7 7.804350+0 2.500000+7 8.186100+0 2.750000+7 8.914530+0 2.875000+7 9.262120+0 3.000000+7 9.601000+0 3.437500+7 1.071540+1 3.812500+7 1.160560+1 4.000000+7 1.203300+1 4.437500+7 1.299490+1 4.812500+7 1.378360+1 5.000000+7 1.416800+1 5.437500+7 1.503530+1 5.812500+7 1.575020+1 6.000000+7 1.609800+1 6.500000+7 1.698830+1 7.000000+7 1.783500+1 7.750000+7 1.901670+1 8.000000+7 1.939100+1 9.000000+7 2.077800+1 1.000000+8 2.200300+1 1.062500+8 2.268870+1 1.125000+8 2.332190+1 1.156300+8 2.361860+1 1.250000+8 2.443400+1 1.359400+8 2.526100+1 1.437500+8 2.578570+1 1.500000+8 2.617100+1 1.718800+8 2.732930+1 1.750000+8 2.747400+1 1.841800+8 2.787840+1 1.947300+8 2.830460+1 2.000000+8 2.850400+1 2.375000+8 2.970030+1 2.500000+8 3.002800+1 2.718800+8 3.052110+1 2.815400+8 3.070920+1 2.875000+8 3.082030+1 2.881300+8 3.083120+1 2.960400+8 3.096710+1 3.000000+8 3.103400+1 3.062500+8 3.112900+1 3.335900+8 3.150310+1 3.418000+8 3.159940+1 3.500000+8 3.169100+1 3.562500+8 3.175350+1 3.617200+8 3.180740+1 4.000000+8 3.213700+1 4.121100+8 3.222270+1 4.231000+8 3.229850+1 4.461700+8 3.243840+1 4.730800+8 3.258660+1 4.910300+8 3.267560+1 5.000000+8 3.271900+1 5.125000+8 3.277360+1 5.234400+8 3.282050+1 5.425800+8 3.290020+1 6.000000+8 3.310900+1 6.250000+8 3.318480+1 6.812500+8 3.334390+1 7.000000+8 3.339000+1 7.625000+8 3.352090+1 8.000000+8 3.358900+1 8.359400+8 3.364320+1 8.660200+8 3.368340+1 8.995100+8 3.372300+1 9.354000+8 3.376170+1 1.000000+9 3.381800+1 1.062500+9 3.385610+1 1.141100+9 3.389650+1 1.206900+9 3.391970+1 1.280200+9 3.394070+1 1.358700+9 3.395550+1 1.429300+9 3.396730+1 1.500000+9 3.397500+1 1.562500+9 3.397830+1 1.671900+9 3.398370+1 1.753900+9 3.398750+1 1.877000+9 3.399290+1 2.000000+9 3.399500+1 2.093800+9 3.399530+1 2.275400+9 3.399570+1 2.445700+9 3.399610+1 2.680200+9 3.399660+1 2.895300+9 3.399700+1 3.158400+9 3.399750+1 3.496000+9 3.399800+1 3.872000+9 3.399860+1 4.516600+9 3.399940+1 5.000000+9 3.400000+1 8.000000+9 3.400000+1 1.00000+10 3.400000+1 1.20500+10 3.400000+1 1.41820+10 3.400000+1 1.71170+10 3.400000+1 2.01490+10 3.400000+1 2.26440+10 3.400000+1 2.74790+10 3.400000+1 3.41360+10 3.400000+1 4.02450+10 3.400000+1 4.77140+10 3.400000+1 5.73000+10 3.400000+1 7.25500+10 3.400000+1 9.08500+10 3.400000+1 1.00000+11 3.400000+1 1.34280+11 3.400000+1 1.77440+11 3.400000+1 2.63330+11 3.400000+1 3.75720+11 3.400000+1 6.61190+11 3.400000+1 1.48990+12 3.400000+1 4.26460+12 3.400000+1 1.00000+14 3.400000+1 5.62340+14 3.400000+1 7.49890+15 3.400000+1 1.00000+17 3.400000+1 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.057378-6 0.0 5.978097-6 0.0 6.000168-6 8.066939-1 6.007525-6 1.072181+0 6.022240-6 1.958426+0 6.036954-6 3.302176+0 6.053508-6 5.419860+0 6.079028-6 9.455346+0 6.097651-6 1.218733+1 6.111876-6 1.360796+1 6.127211-6 1.407157+1 6.142025-6 1.340730+1 6.157690-6 1.166339+1 6.182513-6 7.788166+0 6.198812-6 5.264781+0 6.214446-6 3.313117+0 6.228240-6 2.025417+0 6.242955-6 1.114199+0 6.264106-6 3.185913-1 6.272383-6 0.0 6.402842-6 0.0 6.430422-6 4.269084-1 6.434362-6 4.872730-1 6.450122-6 8.900439-1 6.465881-6 1.500736+0 6.483611-6 2.463158+0 6.511221-6 4.316448+0 6.529905-6 5.494491+0 6.546127-6 6.184397+0 6.562206-6 6.400270+0 6.577980-6 6.112203+0 6.595195-6 5.300648+0 6.621782-6 3.539480+0 6.639239-6 2.392680+0 6.655984-6 1.505709+0 6.670758-6 9.204893-1 6.686518-6 5.063688-1 6.709173-6 1.447899-1 6.718038-6 0.0 6.999682-6 0.0 7.022071-6 1.026375-6 7.034139-6 2.087758-6 7.051368-6 4.113538-6 7.056639-6 4.936210-6 7.068597-6 7.141206-6 7.073922-6 8.345912-6 7.085826-6 1.147136-5 7.091206-6 1.306965-5 7.108490-6 1.895721-5 7.143058-6 3.169299-5 7.160342-6 3.652802-5 7.177626-6 3.899236-5 7.194910-6 3.854769-5 7.212194-6 3.528997-5 7.229478-6 2.991586-5 7.264046-6 1.706167-5 7.275343-6 1.324730-5 7.281330-6 1.147613-5 7.292572-6 8.504804-6 7.298614-6 7.144584-6 7.309801-6 5.063260-6 7.315898-6 4.116339-6 7.333181-6 2.055963-6 7.344258-6 1.042638-6 7.367749-6 0.0 7.424427-6 0.0 7.446826-6 1.16991-14 7.465155-6 6.984656-7 7.483485-6 1.382071-6 7.501814-6 2.524465-6 7.520144-6 4.256595-6 7.538473-6 6.625356-6 7.593461-6 1.545870-5 7.611791-6 1.747171-5 7.630120-6 1.822853-5 7.650620-6 1.732571-5 7.651176-6 2.670519-3 7.688841-6 1.777275+0 7.707673-6 3.244987+0 7.726506-6 5.469396+0 7.747302-6 8.916011+0 7.804354-6 2.046868+1 7.822396-6 2.308141+1 7.842548-6 2.416280+1 7.860651-6 2.347785+1 7.885692-6 2.022566+1 7.926054-6 1.270575+1 7.933662-6 1.123132+1 7.954848-6 7.800881+0 7.971327-6 5.624339+0 7.990159-6 3.767069+0 8.027824-6 1.095603+0 8.036731-6 9.127364-1 8.053418-6 6.164869-1 8.072490-6 3.673821-1 8.075365-6 3.425129-1 8.093069-6 5.637031-1 8.115687-6 9.164155-1 8.129704-6 1.319552+0 8.135565-6 1.530099+0 8.156685-6 2.659364+0 8.175321-6 3.993065+0 8.236197-6 9.480303+0 8.256657-6 1.074411+1 8.277927-6 1.123521+1 8.297144-6 1.090868+1 8.346759-6 8.244633+0 8.368461-6 7.028417+0 8.377338-6 6.681228+0 8.395843-6 6.356799+0 8.416941-6 6.734647+0 8.442293-6 8.043134+0 8.499750-6 1.160349+1 8.521002-6 1.198597+1 8.540030-6 1.157753+1 8.561546-6 1.025964+1 8.622205-6 4.728929+0 8.640459-6 3.472603+0 8.660921-6 2.453560+0 8.681383-6 1.939586+0 8.688112-6 1.900320+0 8.708725-6 1.939846+0 8.722400-6 2.107611+0 8.731977-6 2.474740+0 8.740254-6 2.868357+0 8.809475-6 6.898754+0 8.846706-6 8.601418+0 8.874683-6 9.490485+0 8.925464-6 1.045832+1 8.960139-6 1.058737+1 8.989982-6 1.018976+1 9.039743-6 8.577015+0 9.057988-6 7.872883+0 9.094991-6 6.918249+0 9.128993-6 6.600423+0 9.170509-6 6.863998+0 9.239159-6 8.222583+0 9.268674-6 8.576132+0 9.307239-6 8.484151+0 9.365450-6 8.022699+0 9.418386-6 7.935000+0 9.589457-6 8.378336+0 9.947008-6 8.612118+0 1.090530-5 8.837024+0 1.095730-5 9.956369+0 1.098749-5 1.108916+1 1.101433-5 1.260020+1 1.104704-5 1.515973+1 1.112000-5 2.180967+1 1.115067-5 2.351267+1 1.117841-5 2.387696+1 1.120657-5 2.297472+1 1.124103-5 2.047016+1 1.131472-5 1.377776+1 1.132920-5 1.272537+1 1.136454-5 1.231122+1 1.138543-5 1.248712+1 1.141202-5 1.375466+1 1.144289-5 1.655881+1 1.147565-5 2.164909+1 1.155230-5 3.568969+1 1.158452-5 3.931738+1 1.161171-5 4.018996+1 1.164081-5 3.850332+1 1.166798-5 3.492420+1 1.174662-5 2.041392+1 1.177799-5 1.583048+1 1.180238-5 1.312348+1 1.183375-5 1.091220+1 1.188603-5 8.542814+0 1.350812-5 7.506376+0 1.640699-5 5.191938+0 1.835043-5 3.927266+0 1.860444-5 3.924279+0 1.880210-5 3.970470+0 1.914010-5 3.535664+0 1.961278-5 3.287527+0 2.002093-5 3.136121+0 2.141812-5 2.557316+0 2.286136-5 2.099178+0 2.446000-5 1.708414+0 2.600134-5 1.418546+0 2.786357-5 1.154029+0 2.980255-5 9.498474-1 3.195924-5 7.824431-1 3.444909-5 6.446573-1 3.700156-5 5.452431-1 4.013413-5 4.622543-1 4.359665-5 4.031214-1 4.773487-5 3.607430-1 5.322337-5 3.321611-1 5.348538-5 7.515507-1 5.361638-5 1.098505+0 5.374747-5 1.625290+0 5.389630-5 2.604816+0 5.404760-5 3.800507+0 5.430556-5 6.064132+0 5.444209-5 7.068658+0 5.456965-5 7.712779+0 5.467559-5 8.004957+0 5.482109-5 7.909132+0 5.500201-5 7.180984+0 5.519705-5 5.933049+0 5.556650-5 3.275557+0 5.582564-5 1.739303+0 5.584343-5 1.638999+0 5.599645-5 1.142693+0 5.612874-5 8.355191-1 5.630563-5 5.546277-1 5.639333-5 4.298419-1 5.650564-5 3.904009-1 5.657230-5 3.709518-1 5.683898-5 3.232789-1 6.024544-5 3.194076-1 6.054201-5 3.730660-1 6.069029-5 4.174483-1 6.083858-5 4.847616-1 6.098687-5 5.768166-1 6.124799-5 7.885810-1 6.143173-5 9.570744-1 6.158271-5 1.070752+0 6.174495-5 1.154654+0 6.189617-5 1.204293+0 6.261667-5 1.271952+0 6.289115-5 1.260568+0 6.351730-5 1.132268+0 6.403646-5 1.117474+0 6.920000-5 1.261869+0 7.161434-5 1.395232+0 7.444827-5 1.646594+0 7.744538-5 2.043980+0 8.087013-5 2.668055+0 8.586535-5 3.838136+0 9.772372-5 6.817657+0 1.087903-4 9.079649+0 1.244515-4 1.170631+1 1.380384-4 1.347267+1 1.587050-4 1.516238+1 1.618166-4 1.564453+1 1.689997-4 1.639099+1 1.986624-4 1.700779+1 2.127119-4 1.717501+1 2.163500-4 1.848737+1 2.186473-4 1.781489+1 2.206923-4 1.715043+1 2.291835-4 1.745767+1 3.019952-4 1.550625+1 4.174697-4 1.198880+1 5.324146-4 9.368527+0 6.358368-4 7.667882+0 7.513394-4 6.266212+0 8.912510-4 5.046087+0 1.041118-3 4.108542+0 1.216420-3 3.321664+0 1.400132-3 2.729009+0 1.410583-3 2.781464+0 1.416609-3 2.967053+0 1.420898-3 3.260755+0 1.425543-3 3.805159+0 1.429931-3 4.569590+0 1.435783-3 5.906110+0 1.446932-3 8.627522+0 1.455045-3 9.995281+0 1.477056-3 1.224792+1 1.494156-3 1.425309+1 1.507481-3 1.488773+1 1.570632-3 1.442488+1 1.612283-3 1.417304+1 1.646873-3 1.513298+1 2.018530-3 1.146385+1 2.322132-3 9.321830+0 2.680121-3 7.472612+0 3.099203-3 5.939052+0 3.560762-3 4.740831+0 4.047821-3 3.835523+0 4.607205-3 3.086396+0 5.277345-3 2.448396+0 6.022209-3 1.949609+0 6.693794-3 1.621556+0 7.507969-3 1.324543+0 8.303751-3 1.107753+0 9.309488-3 9.026652-1 1.050102-2 7.266465-1 1.187472-2 5.812197-1 1.231092-2 5.497944-1 1.236961-2 5.792196-1 1.240912-2 6.360511-1 1.243676-2 7.089667-1 1.246809-2 8.393612-1 1.249765-2 1.018755+0 1.253350-2 1.315151+0 1.257931-2 1.802932+0 1.265789-2 2.703113+0 1.270692-2 3.144955+0 1.276906-2 3.478930+0 1.286141-2 3.625862+0 1.523910-2 2.798697+0 1.732145-2 2.263095+0 1.951567-2 1.853313+0 2.200020-2 1.506030+0 2.490050-2 1.213486+0 2.770628-2 1.002184+0 3.094375-2 8.214302-1 3.394114-2 6.926475-1 3.784122-2 5.667217-1 4.205699-2 4.643225-1 4.675806-2 3.801379-1 5.169543-2 3.134084-1 5.710481-2 2.587416-1 6.275614-2 2.151562-1 7.013261-2 1.730869-1 7.846708-2 1.385403-1 8.748141-2 1.116154-1 9.725146-2 9.036398-2 1.070795-1 7.450807-2 1.179709-1 6.136091-2 1.290606-1 5.122360-2 1.417750-1 4.242735-2 1.572823-1 3.445868-2 1.742614-1 2.805721-2 1.911717-1 2.336369-2 2.115754-1 1.913385-2 2.307412-1 1.613626-2 2.567176-1 1.313551-2 2.843479-1 1.082103-2 3.149816-1 8.943677-3 3.477958-1 7.466684-3 3.857350-1 6.217913-3 4.315191-1 5.132941-3 4.841724-1 4.252510-3 5.343817-1 3.643236-3 5.948056-1 3.105434-3 6.763263-1 2.593564-3 7.788522-1 2.163128-3 9.120108-1 1.799400-3 1.070165+0 1.517844-3 1.286622+0 1.248990-3 1.546860+0 1.027758-3 1.859734+0 8.457119-4 2.235892+0 6.959118-4 2.688134+0 5.726456-4 3.231848+0 4.712135-4 3.885536+0 3.877479-4 4.671441+0 3.190665-4 5.616308+0 2.625506-4 6.752287+0 2.160453-4 8.118035+0 1.777774-4 9.760024+0 1.462879-4 1.000000+1 2.939478-4 1 34000 7 0 7.896000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-3.399377+1 3.057378-6-3.391208+1 5.411539-6-3.296176+1 5.833939-6-3.145433+1 5.949653-6-2.970885+1 6.007525-6-2.690940+1 6.042012-6-2.497294+1 6.066383-6-2.478912+1 6.087535-6-2.632309+1 6.111876-6-3.030604+1 6.135482-6-3.511512+1 6.163628-6-3.040115+1 6.184097-6-2.890460+1 6.211687-6-2.921061+1 6.300331-6-3.416576+1 6.342818-6-3.510168+1 6.489644-6-3.125199+1 6.528089-6-3.228296+1 6.567283-6-3.536411+1 6.611413-6-3.264547+1 6.655984-6-3.273496+1 6.775762-6-3.550093+1 7.424427-6-3.142598+1 7.570621-6-2.910140+1 7.639089-6-2.654975+1 7.732979-6-1.936014+1 7.754205-6-1.860592+1 7.773584-6-1.934308+1 7.796398-6-2.178399+1 7.816873-6-2.578200+1 7.858469-6-3.632289+1 7.887586-6-3.026780+1 7.913053-6-2.733588+1 7.933662-6-2.663772+1 7.963088-6-2.759679+1 8.028996-6-3.261791+1 8.079764-6-3.684039+1 8.163091-6-3.147558+1 8.200698-6-3.054503+1 8.236197-6-3.170517+1 8.301390-6-3.722331+1 8.351743-6-3.585281+1 8.395843-6-3.719649+1 8.445672-6-3.551557+1 8.489573-6-3.677034+1 8.502574-6-3.741353+1 8.565172-6-3.209168+1 8.606304-6-3.129905+1 8.656445-6-3.370062+1 8.721760-6-3.806600+1 8.767401-6-3.599972+1 8.817657-6-3.605218+1 8.903747-6-3.893048+1 9.011596-6-3.507643+1 9.057988-6-3.472361+1 9.212035-6-3.742072+1 9.354609-6-3.618965+1 1.045235-5-3.638749+1 1.058482-5-3.680345+1 1.084140-5-3.292764+1 1.092220-5-3.014266+1 1.103781-5-2.554937+1 1.107828-5-2.550080+1 1.111691-5-2.734562+1 1.117172-5-3.260031+1 1.119584-5-3.486159+1 1.124103-5-3.121861+1 1.127935-5-3.048823+1 1.131472-5-3.188179+1 1.133507-5-3.379006+1 1.136454-5-3.270725+1 1.145349-5-2.391238+1 1.148066-5-2.269340+1 1.150754-5-2.311294+1 1.153052-5-2.501521+1 1.155230-5-2.811033+1 1.158012-5-3.362783+1 1.158265-5-3.382947+1 1.161016-5-2.715819+1 1.164635-5-1.868998+1 1.166798-5-1.452875+1 1.168442-5-1.219874+1 1.170043-5-1.045667+1 1.171187-5-9.659153+0 1.173093-5-9.038303+0 1.174270-5-8.996622+0 1.177101-5-9.918583+0 1.180238-5-1.194088+1 1.183985-5-1.462049+1 1.188603-5-1.752283+1 1.191245-5-1.915527+1 1.197538-5-2.122892+1 1.208669-5-2.316272+1 1.233602-5-2.503535+1 1.283896-5-2.614197+1 1.515906-5-2.594571+1 1.890448-5-2.558363+1 5.040138-5-2.997109+1 5.286462-5-3.143391+1 5.335438-5-3.067319+1 5.403040-5-2.887652+1 5.430556-5-2.972876+1 5.454927-5-3.176241+1 5.503597-5-2.701197+1 5.535090-5-2.547335+1 5.577228-5-2.552342+1 5.663897-5-2.781189+1 5.831316-5-2.922788+1 6.174495-5-3.064529+1 6.521738-5-3.060885+1 8.850000-5-3.404444+1 1.087903-4-3.341181+1 1.579033-4-2.834892+1 1.924782-4-2.351510+1 2.110991-4-2.196685+1 2.149958-4-2.197851+1 2.186473-4-2.002452+1 2.233559-4-2.036041+1 2.502130-4-1.756663+1 2.900681-4-1.469921+1 3.330428-4-1.253763+1 3.769207-4-1.100207+1 4.412974-4-9.567361+0 5.020825-4-8.738317+0 5.991009-4-8.057794+0 7.103953-4-7.809038+0 8.423038-4-7.944219+0 9.873348-4-8.482785+0 1.142301-3-9.576196+0 1.243954-3-1.081334+1 1.314468-3-1.221935+1 1.360037-3-1.368585+1 1.392755-3-1.545304+1 1.410583-3-1.720591+1 1.433415-3-2.085642+1 1.442360-3-2.126014+1 1.471750-3-1.925319+1 1.486225-3-1.839098+1 1.514207-3-1.497724+1 1.536633-3-1.318624+1 1.570632-3-1.152606+1 1.605179-3-1.056486+1 1.643063-3-1.025565+1 1.682822-3-8.308680+0 1.720744-3-7.134469+0 1.774384-3-5.952060+0 1.837649-3-4.909079+0 1.922676-3-3.866524+0 2.018530-3-2.999700+0 2.119771-3-2.309583+0 2.207839-3-1.840604+0 2.322132-3-1.362051+0 2.405964-3-1.087271+0 2.510306-3-8.072543-1 2.594270-3-6.342210-1 2.701045-3-4.522562-1 2.788628-3-3.366205-1 2.884032-3-2.307576-1 2.952312-3-1.683105-1 3.028929-3-1.075492-1 3.099203-3-6.058793-2 3.110653-3-5.397244-2 3.178246-3-2.072757-2 3.194888-3-1.339387-2 3.223605-3-1.665974-3 3.237829-3 4.201173-3 3.261871-3 1.360397-2 3.300443-3 2.732668-2 3.335224-3 3.858113-2 3.414638-3 5.853506-2 3.483438-3 7.148137-2 3.560762-3 8.303037-2 3.669687-3 9.194509-2 3.834864-3 9.474313-2 3.933731-3 9.190977-2 4.047821-3 8.408296-2 4.178234-3 6.862272-2 4.399846-3 3.504117-2 4.511016-3 1.590115-2 4.538110-3 1.138510-2 4.589760-3 2.003667-3 4.607205-3-1.118583-3 4.665600-3-1.204873-2 4.769112-3-3.358997-2 5.150804-3-1.142324-1 8.640151-3-9.236288-1 9.670777-3-1.201791+0 1.050102-2-1.487582+0 1.109728-2-1.769633+0 1.154496-2-2.070998+0 1.187472-2-2.398102+0 1.207629-2-2.692351+0 1.225305-2-3.084328+0 1.236961-2-3.523816+0 1.249765-2-4.334450+0 1.257931-2-4.775304+0 1.263749-2-4.801664+0 1.270692-2-4.478091+0 1.286141-2-3.384384+0 1.294554-2-2.978360+0 1.308111-2-2.548506+0 1.325031-2-2.177808+0 1.350833-2-1.780245+0 1.382430-2-1.434006+0 1.418725-2-1.143507+0 1.462518-2-8.811314-1 1.512933-2-6.510763-1 1.557597-2-4.894782-1 1.606106-2-3.521345-1 1.643568-2-2.648108-1 1.687682-2-1.772214-1 1.709455-2-1.391739-1 1.732145-2-1.033606-1 1.773317-2-4.603705-2 1.812650-2 7.252359-4 1.815892-2 4.599849-3 1.855550-2 4.477269-2 1.900935-2 8.540678-2 1.951567-2 1.250936-1 2.005300-2 1.602924-1 2.056613-2 1.871597-1 2.145599-2 2.229144-1 2.259937-2 2.549878-1 2.391756-2 2.777653-1 2.558293-2 2.938771-1 2.770628-2 2.969222-1 3.213223-2 2.781709-1 4.675806-2 1.700894-1 5.537055-2 1.184316-1 6.275614-2 8.351712-2 6.821926-2 6.185501-2 7.408583-2 4.232752-2 7.846708-2 2.943850-2 8.177545-2 2.065811-2 8.522850-2 1.225542-2 8.748141-2 7.202566-3 8.975557-2 2.365860-3 9.100073-2-2.074489-4 9.138957-2-1.005216-3 9.338968-2-4.896262-3 9.725146-2-1.192895-2 1.017660-1-1.938761-2 1.098795-1-3.106778-2 1.179709-1-4.091951-2 1.290606-1-5.208139-2 1.466697-1-6.571591-2 1.678237-1-7.758920-2 1.973160-1-8.902918-2 2.476567-1-1.008770-1 3.261651-1-1.105152-1 4.841724-1-1.183499-1 9.120108-1-1.234112-1 2.814822+0-1.251842-1 8.500626+0-1.253692-1 1.000000+1-1.253429-1 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 5.868627-6 1.024000-6 6.660301-6 1.069640-6 8.188431-6 1.136492-6 9.887005-6 1.200000-6 1.095976-5 1.207523-6 1.128359-5 1.245258-6 1.333325-5 1.284172-6 1.529595-5 1.324303-6 1.702455-5 1.350000-6 1.808361-5 1.365687-6 1.897141-5 1.408365-6 2.144769-5 1.452376-6 2.353489-5 1.500000-6 2.530413-5 1.518750-6 2.635692-5 1.544568-6 2.851092-5 1.592836-6 3.248094-5 1.642612-6 3.580635-5 1.687500-6 3.819773-5 1.693943-6 3.860660-5 1.708594-6 3.974896-5 1.746879-6 4.395191-5 1.801469-6 4.955058-5 1.857765-6 5.396269-5 1.898438-6 5.643579-5 1.915820-6 5.793122-5 1.922168-6 5.861347-5 1.975690-6 6.604881-5 2.037430-6 7.358809-5 2.048000-6 7.470709-5 2.101100-6 7.987208-5 2.135742-6 8.269636-5 2.162439-6 8.609196-5 2.234470-6 9.978613-5 2.304297-6 1.106489-4 2.376307-6 1.177749-4 2.402710-6 1.197718-4 2.432744-6 1.238052-4 2.527146-6 1.443049-4 2.606120-6 1.560857-4 2.687561-6 1.611708-4 2.703049-6 1.616704-4 2.736837-6 1.640618-4 2.771547-6 1.690568-4 2.858158-6 1.785159-4 2.871989-6 1.794363-4 2.907889-6 1.825061-4 2.947476-6 1.877557-4 3.039584-6 1.941903-4 3.089632-6 1.958668-4 3.134571-6 1.998553-4 3.232527-6 2.006819-4 3.282734-6 1.989220-4 3.333543-6 2.000209-4 3.437716-6 1.920424-4 3.487905-6 1.857424-4 3.545145-6 1.818167-4 3.655931-6 1.619001-4 3.705899-6 1.505105-4 3.770179-6 1.396259-4 3.884796-6 1.081893-4 3.937518-6 9.220802-5 3.995832-6 7.818885-5 4.096000-6 4.970035-5 4.103398-6 4.749407-5 4.131963-6 3.925028-5 4.183613-6 2.687817-5 4.207603-6 2.243051-5 4.308551-6 7.387227-6 4.390211-6 2.285920-6 4.406344-6 2.686774-6 4.445089-6 6.099493-6 4.501082-6 1.765310-5 4.592859-6 5.960272-5 4.664599-6 1.219084-4 4.681768-6 1.410901-4 4.722907-6 1.934013-4 4.767898-6 2.616060-4 4.851337-6 4.366039-4 4.932169-6 6.945059-4 4.956136-6 7.914114-4 5.018088-6 1.096246-3 5.162191-6 2.078729-3 5.174903-6 2.191404-3 5.265895-6 3.154854-3 5.336619-6 4.131581-3 5.437771-6 5.954735-3 5.500750-6 7.418523-3 5.679979-6 1.351000-2 5.813784-6 2.070916-2 5.989426-6 3.572530-2 6.164832-6 6.086557-2 6.244402-6 7.750565-2 6.318998-6 9.746216-2 6.388932-6 1.210048-1 6.454496-6 1.483955-1 6.515961-6 1.802467-1 6.573585-6 2.170321-1 6.627608-6 2.590231-1 6.678254-6 3.065922-1 6.725734-6 3.603254-1 6.770247-6 4.208700-1 6.811978-6 4.887455-1 6.851101-6 5.643332-1 6.887779-6 6.480242-1 6.922164-6 7.403482-1 6.954401-6 8.419673-1 6.984622-6 9.535845-1 7.012955-6 1.075869+0 7.039517-6 1.209431+0 7.064418-6 1.354845+0 7.087764-6 1.512684+0 7.115972-6 1.737678+0 7.130168-6 1.868087+0 7.149404-6 2.066974+0 7.167438-6 2.280951+0 7.201251-6 2.775295+0 7.230838-6 3.347326+0 7.256726-6 4.010111+0 7.279379-6 4.779851+0 7.299199-6 5.672242+0 7.316543-6 6.696819+0 7.331718-6 7.852270+0 7.344996-6 9.124956+0 7.356615-6 1.049080+1 7.366781-6 1.191918+1 7.375676-6 1.337726+1 7.390270-6 1.626083+1 7.435116-6 3.004321+1 7.449816-6 3.648515+1 7.456252-6 3.962285+1 7.465406-6 4.440867+1 7.474560-6 4.955271+1 7.492867-6 6.075086+1 7.495156-6 6.221827+1 7.511175-6 7.272792+1 7.517468-6 7.689768+1 7.529482-6 8.473988+1 7.535775-6 8.870929+1 7.541783-6 9.235836+1 7.547790-6 9.583203+1 7.555799-6 1.001246+2 7.563523-6 1.038209+2 7.570674-6 1.067886+2 7.576681-6 1.089017+2 7.584405-6 1.110593+2 7.594131-6 1.128073+2 7.602712-6 1.133964+2 7.606471-6 1.133641+2 7.615564-6 1.125469+2 7.623472-6 1.109930+2 7.628658-6 1.095592+2 7.636664-6 1.067298+2 7.643808-6 1.036131+2 7.645537-6 1.027807+2 7.658207-6 9.584616+1 7.666395-6 9.069620+1 7.672362-6 8.668239+1 7.680234-6 8.113032+1 7.686366-6 7.665854+1 7.694250-6 7.080019+1 7.702260-6 6.481180+1 7.710627-6 5.861423+1 7.712558-6 5.720239+1 7.721712-6 5.065115+1 7.729721-6 4.516712+1 7.732010-6 4.365141+1 7.740591-6 3.819695+1 7.748100-6 3.374809+1 7.749173-6 3.313873+1 7.767480-6 2.380109+1 7.774525-6 2.075205+1 7.780156-6 1.852945+1 7.785788-6 1.649334+1 7.793798-6 1.390685+1 7.803734-6 1.117303+1 7.813905-6 8.870646+0 7.842619-6 4.568343+0 7.851929-6 3.709168+0 7.856367-6 3.369203+0 7.860667-6 3.077400+0 7.868867-6 2.610874+0 7.876562-6 2.264498+0 7.888007-6 1.879851+0 7.889246-6 1.846079+0 7.899478-6 1.615284+0 7.905382-6 1.516256+0 7.949666-6 1.362760+0 7.955201-6 1.413541+0 7.964888-6 1.546796+0 7.972153-6 1.687903+0 7.977602-6 1.819406+0 7.981689-6 1.933588+0 7.984754-6 2.028449+0 7.991650-6 2.272438+0 7.997485-6 2.513823+0 8.007572-6 3.012415+0 8.028440-6 4.398605+0 8.033301-6 4.793505+0 8.052977-6 6.666935+0 8.055437-6 6.930679+0 8.072653-6 8.934948+0 8.079417-6 9.785203+0 8.092330-6 1.147047+1 8.099093-6 1.236877+1 8.107163-6 1.343643+1 8.114465-6 1.438364+1 8.121997-6 1.532599+1 8.129261-6 1.618598+1 8.136601-6 1.699130+1 8.143057-6 1.763500+1 8.150320-6 1.827458+1 8.152588-6 1.845402+1 8.161811-6 1.907519+1 8.169737-6 1.945880+1 8.175074-6 1.963369+1 8.184846-6 1.977287+1 8.192000-6 1.972390+1 8.199720-6 1.952898+1 8.207295-6 1.919867+1 8.215202-6 1.871512+1 8.217059-6 1.858215+1 8.230677-6 1.740577+1 8.236057-6 1.685515+1 8.242042-6 1.619574+1 8.249738-6 1.528884+1 8.254350-6 1.472065+1 8.260941-6 1.388598+1 8.269414-6 1.279077+1 8.278023-6 1.167537+1 8.287015-6 1.053193+1 8.298928-6 9.089636+0 8.309996-6 7.857824+0 8.328443-6 6.099269+0 8.349348-6 4.596690+0 8.355689-6 4.241799+0 8.361742-6 3.943632+0 8.367795-6 3.682621+0 8.372714-6 3.495953+0 8.376403-6 3.369886+0 8.383969-6 3.145470+0 8.390174-6 2.992058+0 8.396822-6 2.854070+0 8.402239-6 2.758969+0 8.409075-6 2.657534+0 8.417036-6 2.560383+0 8.424030-6 2.489149+0 8.438870-6 2.365257+0 8.464879-6 2.174444+0 8.476442-6 2.082880+0 8.492967-6 1.937160+0 8.503590-6 1.834379+0 8.514213-6 1.725846+0 8.525920-6 1.601687+0 8.537627-6 1.475275+0 8.556127-6 1.276991+0 8.577083-6 1.063514+0 8.598040-6 8.694030-1 8.621684-6 6.783454-1 8.642699-6 5.343478-1 8.684727-6 3.160124-1 8.705741-6 2.395910-1 8.726756-6 1.841594-1 8.747770-6 1.497430-1 8.768784-6 1.369518-1 8.773301-6 1.371322-1 8.789799-6 1.470154-1 8.831827-6 2.441163-1 8.873856-6 4.664954-1 8.894870-6 6.373918-1 8.915884-6 8.580123-1 8.933347-6 1.086488+0 8.957913-6 1.493162+0 8.985989-6 2.115492+0 9.046529-6 4.397993+0 9.070218-6 5.891273+0 9.093632-6 7.936375+0 9.116015-6 1.065767+1 9.127206-6 1.239435+1 9.149589-6 1.685909+1 9.194354-6 3.146562+1 9.215274-6 4.190554+1 9.228043-6 4.970382+1 9.244459-6 6.150282+1 9.255714-6 7.081713+1 9.274022-6 8.817668+1 9.281650-6 9.621408+1 9.290605-6 1.062345+2 9.312722-6 1.334452+2 9.315646-6 1.372726+2 9.336116-6 1.651451+2 9.344479-6 1.768837+2 9.360446-6 1.993328+2 9.370483-6 2.131545+2 9.381651-6 2.279290+2 9.388831-6 2.369381+2 9.396010-6 2.454557+2 9.400181-6 2.501415+2 9.407479-6 2.578153+2 9.417058-6 2.667382+2 9.428219-6 2.752548+2 9.432172-6 2.777373+2 9.444413-6 2.835059+2 9.453812-6 2.858538+2 9.465246-6 2.861588+2 9.475178-6 2.841149+2 9.482160-6 2.814024+2 9.490463-6 2.768395+2 9.499607-6 2.702047+2 9.510271-6 2.604849+2 9.520960-6 2.488218+2 9.530345-6 2.372164+2 9.541288-6 2.223663+2 9.547994-6 2.127108+2 9.557002-6 1.992535+2 9.563899-6 1.886894+2 9.573755-6 1.733945+2 9.584052-6 1.574160+2 9.586428-6 1.537567+2 9.597806-6 1.365224+2 9.607762-6 1.220029+2 9.612028-6 1.159868+2 9.621984-6 1.025158+2 9.631939-6 8.993264+1 9.638695-6 8.194558+1 9.646695-6 7.309395+1 9.656712-6 6.296398+1 9.660241-6 5.964953+1 9.670830-6 5.049859+1 9.682280-6 4.191085+1 9.700720-6 3.076884+1 9.716633-6 2.355974+1 9.726384-6 2.011707+1 9.734603-6 1.773325+1 9.739534-6 1.651439+1 9.757152-6 1.333878+1 9.762436-6 1.271805+1 9.766198-6 1.236323+1 9.787641-6 1.164937+1 9.792039-6 1.176832+1 9.796256-6 1.196573+1 9.800474-6 1.224474+1 9.802742-6 1.242864+1 9.805547-6 1.268897+1 9.810456-6 1.323268+1 9.817820-6 1.426148+1 9.825183-6 1.555202+1 9.837245-6 1.825290+1 9.846292-6 2.077798+1 9.873432-6 3.110888+1 9.897556-6 4.397958+1 9.908939-6 5.127799+1 9.921680-6 6.034097+1 9.926045-6 6.365235+1 9.933685-6 6.968295+1 9.939415-6 7.438985+1 9.956605-6 8.931501+1 9.965910-6 9.778384+1 9.970351-6 1.018908+2 9.977013-6 1.081018+2 9.987987-6 1.183779+2 9.995534-6 1.253999+2 1.000544-5 1.344470+2 1.001499-5 1.428677+2 1.001818-5 1.455859+2 1.003024-5 1.553684+2 1.004079-5 1.631116+2 1.004532-5 1.661538+2 1.005587-5 1.725195+2 1.006642-5 1.777486+2 1.007010-5 1.792803+2 1.008288-5 1.833648+2 1.009313-5 1.851811+2 1.009703-5 1.855215+2 1.010966-5 1.852770+2 1.011500-5 1.845599+2 1.013116-5 1.802276+2 1.014118-5 1.759968+2 1.015143-5 1.705647+2 1.016175-5 1.640900+2 1.016614-5 1.610658+2 1.018115-5 1.497059+2 1.018811-5 1.440190+2 1.019442-5 1.386898+2 1.020477-5 1.297075+2 1.021640-5 1.194606+2 1.022611-5 1.109415+2 1.023859-5 1.002667+2 1.025392-5 8.792567+1 1.028620-5 6.623043+1 1.029802-5 6.007305+1 1.032241-5 5.066156+1 1.032679-5 4.943577+1 1.033179-5 4.820425+1 1.034304-5 4.606384+1 1.034862-5 4.531283+1 1.035521-5 4.467370+1 1.035906-5 4.441933+1 1.036539-5 4.418326+1 1.038606-5 4.481399+1 1.039591-5 4.575892+1 1.040343-5 4.671233+1 1.041599-5 4.867980+1 1.042555-5 5.043893+1 1.045016-5 5.571320+1 1.047711-5 6.224350+1 1.050934-5 7.052056+1 1.052201-5 7.382989+1 1.053788-5 7.798527+1 1.055889-5 8.343877+1 1.057233-5 8.684957+1 1.058434-5 8.980926+1 1.060477-5 9.454160+1 1.062057-5 9.782616+1 1.063154-5 9.985274+1 1.064286-5 1.016845+2 1.065377-5 1.031691+2 1.066393-5 1.042763+2 1.067742-5 1.053063+2 1.068387-5 1.056129+2 1.070069-5 1.058336+2 1.071200-5 1.055127+2 1.073128-5 1.041384+2 1.074788-5 1.022091+2 1.076645-5 9.939631+1 1.079065-5 9.505067+1 1.084234-5 8.557902+1 1.086097-5 8.281640+1 1.086723-5 8.201661+1 1.088458-5 8.018212+1 1.089836-5 7.914323+1 1.091162-5 7.849374+1 1.092233-5 7.820967+1 1.094129-5 7.818674+1 1.095514-5 7.850355+1 1.097782-5 7.947915+1 1.104969-5 8.384658+1 1.108112-5 8.535684+1 1.111383-5 8.639802+1 1.116084-5 8.714690+1 1.126168-5 8.800868+1 1.137529-5 8.974429+1 1.155241-5 9.271482+1 1.165953-5 9.385327+1 1.180795-5 9.505391+1 1.192344-5 9.658132+1 1.204136-5 9.871198+1 1.208750-5 9.983928+1 1.212069-5 1.008850+2 1.214688-5 1.019355+2 1.217696-5 1.035047+2 1.219141-5 1.044419+2 1.221466-5 1.062733+2 1.223259-5 1.080178+2 1.226174-5 1.116276+2 1.228418-5 1.152045+2 1.229923-5 1.180586+2 1.231187-5 1.207655+2 1.233550-5 1.266523+2 1.235677-5 1.329141+2 1.238814-5 1.437914+2 1.245640-5 1.722392+2 1.248267-5 1.833781+2 1.250080-5 1.904912+2 1.252016-5 1.972114+2 1.253460-5 2.014458+2 1.255497-5 2.060517+2 1.256942-5 2.082221+2 1.258866-5 2.095833+2 1.260620-5 2.092651+2 1.262490-5 2.073261+2 1.263618-5 2.054072+2 1.265964-5 1.998285+2 1.267748-5 1.944220+2 1.269982-5 1.867076+2 1.274497-5 1.704551+2 1.276766-5 1.633717+2 1.277900-5 1.604103+2 1.279224-5 1.575899+2 1.280547-5 1.555698+2 1.282249-5 1.543313+2 1.283573-5 1.545527+2 1.284946-5 1.559823+2 1.285092-5 1.562099+2 1.289623-5 1.709874+2 1.291189-5 1.797025+2 1.294495-5 2.040891+2 1.298330-5 2.413494+2 1.301422-5 2.763056+2 1.303053-5 2.956188+2 1.304867-5 3.171196+2 1.306644-5 3.375853+2 1.308427-5 3.569102+2 1.310186-5 3.741901+2 1.311893-5 3.887497+2 1.313535-5 4.002874+2 1.315190-5 4.091576+2 1.316630-5 4.144500+2 1.317617-5 4.167174+2 1.319084-5 4.180156+2 1.320719-5 4.165669+2 1.322969-5 4.097888+2 1.323881-5 4.055659+2 1.324854-5 4.002024+2 1.326222-5 3.912819+2 1.327951-5 3.779947+2 1.329779-5 3.619740+2 1.331558-5 3.449599+2 1.333732-5 3.230070+2 1.336104-5 2.985762+2 1.338475-5 2.746153+2 1.343416-5 2.294797+2 1.346381-5 2.068779+2 1.348626-5 1.922740+2 1.350617-5 1.811252+2 1.352130-5 1.737260+2 1.353262-5 1.687657+2 1.354581-5 1.635671+2 1.355897-5 1.589590+2 1.358525-5 1.513059+2 1.361142-5 1.454174+2 1.364138-5 1.403488+2 1.367500-5 1.362432+2 1.371509-5 1.328505+2 1.374075-5 1.312593+2 1.379188-5 1.289401+2 1.385000-5 1.271349+2 1.394288-5 1.252053+2 1.404159-5 1.238540+2 1.421194-5 1.224099+2 1.455944-5 1.206983+2 1.532109-5 1.183220+2 1.575503-5 1.168081+2 1.631430-5 1.144131+2 1.672152-5 1.123119+2 1.726030-5 1.094070+2 1.771889-5 1.066871+2 1.847699-5 1.019382+2 1.899879-5 9.866852+1 1.983809-5 9.346430+1 2.048482-5 8.956545+1 2.088426-5 8.715254+1 2.138474-5 8.407717+1 2.154265-5 8.327556+1 2.164792-5 8.290890+1 2.196374-5 8.239447+1 2.209751-5 8.197914+1 2.233219-5 8.063627+1 2.282346-5 7.769342+1 2.738750-5 6.022633+1 3.060885-5 5.193293+1 3.527306-5 4.342433+1 4.285000-5 3.423300+1 4.545323-5 3.178809+1 4.930316-5 2.848951+1 5.200209-5 2.630084+1 5.370318-5 2.493829+1 5.549099-5 2.351074+1 5.746362-5 2.188891+1 5.991574-5 1.972537+1 6.144000-5 1.818695+1 6.254170-5 1.691467+1 6.341914-5 1.571561+1 6.400696-5 1.473352+1 6.449083-5 1.372880+1 6.481464-5 1.290734+1 6.512773-5 1.199815+1 6.536047-5 1.130819+1 6.553600-5 1.084738+1 6.565886-5 1.059349+1 6.575600-5 1.045202+1 6.579588-5 1.041242+1 6.603621-5 1.045772+1 6.611293-5 1.059177+1 6.617724-5 1.075444+1 6.624634-5 1.098288+1 6.634481-5 1.140840+1 6.643663-5 1.191475+1 6.652305-5 1.249021+1 6.659848-5 1.307193+1 6.665160-5 1.352611+1 6.675816-5 1.454731+1 6.693503-5 1.655545+1 6.723400-5 2.069635+1 6.737891-5 2.291116+1 6.752678-5 2.518497+1 6.756464-5 2.575547+1 6.772416-5 2.803867+1 6.775375-5 2.843292+1 6.788883-5 3.007521+1 6.796571-5 3.087521+1 6.808865-5 3.191882+1 6.817110-5 3.244372+1 6.825932-5 3.284359+1 6.833136-5 3.304565+1 6.838540-5 3.312490+1 6.846645-5 3.313139+1 6.854750-5 3.300990+1 6.866930-5 3.260884+1 6.883115-5 3.173461+1 6.895760-5 3.084475+1 6.912090-5 2.952035+1 6.937084-5 2.733052+1 6.970389-5 2.453296+1 6.986484-5 2.333455+1 7.002951-5 2.223694+1 7.019418-5 2.126945+1 7.046955-5 1.991526+1 7.079945-5 1.864097+1 7.109876-5 1.771671+1 7.181897-5 1.599760+1 7.337408-5 1.306550+1 7.391455-5 1.201667+1 7.429356-5 1.125148+1 7.465929-5 1.054160+1 7.484215-5 1.022436+1 7.502502-5 9.949330+0 7.520788-5 9.728205+0 7.544110-5 9.537425+0 7.557901-5 9.475409+0 7.576364-5 9.449659+0 7.598552-5 9.495595+0 7.616155-5 9.579415+0 7.637472-5 9.718724+0 7.678898-5 1.003337+1 7.718800-5 1.029487+1 7.740055-5 1.039072+1 7.765826-5 1.045518+1 7.796056-5 1.045650+1 7.813848-5 1.042338+1 7.832959-5 1.036518+1 7.883992-5 1.013893+1 8.070379-5 9.219749+0 8.179153-5 8.671368+0 8.300000-5 8.031716+0 8.375000-5 7.629503+0 8.470756-5 7.117913+0 8.536035-5 6.776464+0 8.734849-5 5.813948+0 8.835994-5 5.395009+0 8.912509-5 5.120561+0 8.987384-5 4.895151+0 9.041810-5 4.762208+0 9.120108-5 4.621303+0 9.195166-5 4.546553+0 9.281136-5 4.540239+0 9.372443-5 4.633970+0 9.476430-5 4.875246+0 9.578662-5 5.263410+0 9.721440-5 6.063563+0 9.841500-5 6.983065+0 1.001229-4 8.674789+0 1.027454-4 1.209591+1 1.030297-4 1.252479+1 1.047500-4 1.532247+1 1.051398-4 1.600339+1 1.072500-4 1.994729+1 1.092500-4 2.399027+1 1.096478-4 2.482326+1 1.115000-4 2.880942+1 1.119000-4 2.968938+1 1.135011-4 3.326493+1 1.152000-4 3.713670+1 1.169245-4 4.113601+1 1.184000-4 4.460628+1 1.209000-4 5.057233+1 1.235000-4 5.686818+1 1.244825-4 5.927130+1 1.269125-4 6.533709+1 1.288250-4 7.019564+1 1.310958-4 7.603929+1 1.333521-4 8.202395+1 1.380384-4 9.473731+1 1.430000-4 1.085516+2 1.480000-4 1.226307+2 1.531087-4 1.368490+2 1.592097-4 1.530668+2 1.641327-4 1.654123+2 1.690042-4 1.765039+2 1.719231-4 1.823903+2 1.772700-4 1.921341+2 1.786654-4 1.958965+2 1.801841-4 2.016609+2 1.818965-4 2.086920+2 1.850890-4 2.197195+2 1.894289-4 2.363969+2 1.915135-4 2.433446+2 1.949461-4 2.536255+2 1.987560-4 2.634137+2 2.040000-4 2.755566+2 2.125690-4 2.940689+2 2.195760-4 3.075840+2 2.263407-4 3.190122+2 2.337042-4 3.289812+2 2.353573-4 3.325086+2 2.366543-4 3.373252+2 2.383905-4 3.468603+2 2.400000-4 3.560464+2 2.406896-4 3.589518+2 2.414696-4 3.610403+2 2.421687-4 3.617860+2 2.429704-4 3.615297+2 2.450863-4 3.585641+2 2.463668-4 3.579105+2 2.476568-4 3.592983+2 2.489633-4 3.625445+2 2.533365-4 3.764414+2 2.573850-4 3.854506+2 2.667648-4 4.018584+2 2.793996-4 4.200604+2 2.935971-4 4.371813+2 3.090296-4 4.521656+2 3.207989-4 4.625105+2 3.483676-4 4.826714+2 3.660935-4 4.933144+2 3.929841-4 5.058245+2 4.102250-4 5.117889+2 4.327629-4 5.179069+2 4.769111-4 5.260938+2 5.015512-4 5.292664+2 5.566461-4 5.323923+2 6.175348-4 5.316353+2 6.850766-4 5.275134+2 7.290000-4 5.232318+2 8.102123-4 5.111169+2 9.027096-4 4.955548+2 9.474209-4 4.871507+2 1.001035-3 4.761787+2 1.052557-3 4.644951+2 1.104901-3 4.513611+2 1.161641-3 4.353760+2 1.211119-3 4.185852+2 1.252357-3 4.029466+2 1.294444-3 3.853873+2 1.329946-3 3.689502+2 1.357698-3 3.546414+2 1.385458-3 3.386224+2 1.407074-3 3.246697+2 1.426851-3 3.103182+2 1.445440-3 2.950523+2 1.460037-3 2.814814+2 1.471429-3 2.696023+2 1.485776-3 2.523878+2 1.496688-3 2.367487+2 1.506057-3 2.207109+2 1.513101-3 2.067546+2 1.517304-3 1.977136+2 1.523755-3 1.832695+2 1.532876-3 1.640080+2 1.537236-3 1.566746+2 1.540472-3 1.525584+2 1.541901-3 1.511714+2 1.543526-3 1.499431+2 1.545551-3 1.489605+2 1.547507-3 1.486097+2 1.550290-3 1.491395+2 1.552687-3 1.505503+2 1.555502-3 1.532734+2 1.557898-3 1.564180+2 1.560311-3 1.602551+2 1.564817-3 1.688462+2 1.575893-3 1.940099+2 1.580585-3 2.051616+2 1.595672-3 2.431680+2 1.613000-3 2.970938+2 1.617289-3 3.113654+2 1.621810-3 3.260481+2 1.625885-3 3.386485+2 1.631544-3 3.547521+2 1.637279-3 3.691630+2 1.644135-3 3.838584+2 1.648167-3 3.913308+2 1.655628-3 4.032620+2 1.664927-3 4.154696+2 1.676390-3 4.276721+2 1.687500-3 4.373411+2 1.701344-3 4.470535+2 1.713828-3 4.539451+2 1.743649-3 4.666588+2 1.752494-3 4.714009+2 1.760657-3 4.772846+2 1.771840-3 4.882492+2 1.794272-3 5.164316+2 1.803075-3 5.269991+2 1.811939-3 5.363563+2 1.821802-3 5.452076+2 1.836237-3 5.558355+2 1.853872-3 5.663852+2 1.868993-3 5.740351+2 1.894336-3 5.849784+2 1.937654-3 5.996838+2 1.986060-3 6.120626+2 2.043833-3 6.231347+2 2.096560-3 6.305728+2 2.183044-3 6.384982+2 2.292929-3 6.424867+2 2.408345-3 6.428575+2 2.577805-3 6.376142+2 2.726592-3 6.298672+2 2.949152-3 6.147781+2 3.222231-3 5.931091+2 3.548134-3 5.657639+2 3.952528-3 5.320704+2 4.365158-3 4.995643+2 4.812444-3 4.668823+2 5.244300-3 4.378688+2 5.783794-3 4.045185+2 6.343901-3 3.732026+2 6.817448-3 3.487691+2 7.290545-3 3.262387+2 7.596701-3 3.126471+2 8.192529-3 2.876913+2 8.851502-3 2.625988+2 9.602626-3 2.366777+2 9.982180-3 2.245514+2 1.034735-2 2.133870+2 1.096384-2 1.955160+2 1.145426-2 1.819115+2 1.186793-2 1.705618+2 1.217868-2 1.618680+2 1.244515-2 1.540255+2 1.264836-2 1.475437+2 1.275736-2 1.437411+2 1.282456-2 1.412204+2 1.289812-2 1.382357+2 1.296586-2 1.351863+2 1.302426-2 1.322303+2 1.310442-2 1.275311+2 1.319332-2 1.214893+2 1.328414-2 1.153447+2 1.333521-2 1.126615+2 1.337621-2 1.112685+2 1.341821-2 1.107153+2 1.345377-2 1.109794+2 1.347775-2 1.115208+2 1.351379-2 1.128187+2 1.356939-2 1.156748+2 1.368290-2 1.225748+2 1.375866-2 1.265561+2 1.382889-2 1.293959+2 1.387371-2 1.308113+2 1.397466-2 1.331431+2 1.410183-2 1.349875+2 1.427134-2 1.363963+2 1.445017-2 1.371000+2 1.466559-2 1.372670+2 1.499432-2 1.365987+2 1.548816-2 1.344178+2 1.617804-2 1.302659+2 1.697274-2 1.248787+2 1.795476-2 1.179294+2 1.945792-2 1.076880+2 2.104384-2 9.797317+1 2.317637-2 8.657451+1 2.558402-2 7.571406+1 2.817274-2 6.599325+1 3.134788-2 5.627558+1 3.514324-2 4.722135+1 3.908310-2 3.984334+1 4.335381-2 3.349400+1 5.466075-2 2.259328+1 6.475137-2 1.680924+1 8.879238-2 9.620439+0 1.088070-1 6.675769+0 1.314468-1 4.715355+0 1.646154-1 3.090874+0 2.158330-1 1.843634+0 2.970383-1 9.947208-1 4.176012-1 5.113528-1 6.437986-1 2.176996-1 1.173413+0 6.598884-2 3.543651+0 7.256475-3 1.070165+1 7.959154-4 3.231848+1 8.727351-5 9.760024+1 9.569388-6 2.947480+2 1.049263-6 8.901248+2 1.150494-7 3.162278+3 9.115619-9 1.000000+4 9.11562-10 3.162278+4 9.11562-11 1.000000+5 9.11562-12 1 35000 7 7 7.990900+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 7.869800-7 1.258900-6 1.247300-6 1.584900-6 1.976800-6 1.995300-6 3.133000-6 2.511900-6 4.965400-6 3.162300-6 7.869700-6 3.981100-6 1.247300-5 5.011900-6 1.976800-5 6.309600-6 3.132900-5 7.943300-6 4.965300-5 1.000000-5 7.869400-5 1.258900-5 1.247200-4 1.584900-5 1.976600-4 1.995300-5 3.132700-4 2.511900-5 4.964800-4 3.162300-5 7.868400-4 3.981100-5 1.247000-3 5.011900-5 1.976300-3 6.309600-5 3.131900-3 7.943300-5 4.960800-3 1.000000-4 7.856500-3 1.258900-4 1.244300-2 1.584900-4 1.969100-2 1.995300-4 3.114600-2 2.511900-4 4.920200-2 3.162300-4 7.758500-2 3.981100-4 1.219900-1 5.011900-4 1.909700-1 6.309600-4 2.964100-1 7.943300-4 4.548800-1 1.000000-3 6.871900-1 1.258900-3 1.015200+0 1.584900-3 1.458000+0 1.995300-3 2.026300+0 2.511900-3 2.724300+0 3.162300-3 3.551400+0 3.981100-3 4.496200+0 5.011900-3 5.538900+0 6.309600-3 6.666300+0 7.943300-3 7.898100+0 1.000000-2 9.223900+0 1.258900-2 1.061300+1 1.584900-2 1.199800+1 1.995300-2 1.328400+1 2.511900-2 1.440000+1 3.162300-2 1.530800+1 3.981100-2 1.596900+1 5.011900-2 1.635200+1 6.309600-2 1.644900+1 7.943300-2 1.629400+1 1.000000-1 1.591900+1 1.258900-1 1.535400+1 1.584900-1 1.463300+1 1.995300-1 1.379300+1 2.511900-1 1.288300+1 3.162300-1 1.193200+1 3.981100-1 1.097200+1 5.011900-1 1.002300+1 6.309600-1 9.100200+0 7.943300-1 8.212900+0 1.000000+0 7.367200+0 1.258900+0 6.567800+0 1.584900+0 5.818400+0 1.995300+0 5.121800+0 2.511900+0 4.480300+0 3.162300+0 3.895200+0 3.981100+0 3.366600+0 5.011900+0 2.893700+0 6.309600+0 2.474200+0 7.943300+0 2.105400+0 1.000000+1 1.783700+0 1.258900+1 1.505000+0 1.584900+1 1.265300+0 1.995300+1 1.060200+0 2.511900+1 8.857400-1 3.162300+1 7.379700-1 3.981100+1 6.133500-1 5.011900+1 5.086500-1 6.309600+1 4.209800-1 7.943300+1 3.477800-1 1.000000+2 2.868400-1 1.258900+2 2.362200-1 1.584900+2 1.942600-1 1.995300+2 1.595500-1 2.511900+2 1.308900-1 3.162300+2 1.072600-1 3.981100+2 8.781100-2 5.011900+2 7.182000-2 6.309600+2 5.868900-2 7.943300+2 4.792000-2 1.000000+3 3.909700-2 1.258900+3 3.187500-2 1.584900+3 2.597000-2 1.995300+3 2.114500-2 2.511900+3 1.720600-2 3.162300+3 1.399300-2 3.981100+3 1.137300-2 5.011900+3 9.239300-3 6.309600+3 7.502000-3 7.943300+3 6.088400-3 1.000000+4 4.939000-3 1.258900+4 4.004800-3 1.584900+4 3.245900-3 1.995300+4 2.629800-3 2.511900+4 2.129800-3 3.162300+4 1.724200-3 3.981100+4 1.395400-3 5.011900+4 1.128900-3 6.309600+4 9.129600-4 7.943300+4 7.381000-4 1.000000+5 5.965500-4 1 35000 7 7 7.990900+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159545-4 3.981072-4 3.976746-4 5.011872-4 5.005029-4 6.309573-4 6.298736-4 7.943282-4 7.926227-4 1.000000-3 9.973144-4 1.258925-3 1.254700-3 1.584893-3 1.578280-3 1.995262-3 1.984963-3 2.511886-3 2.495857-3 3.162278-3 3.137363-3 3.981072-3 3.942389-3 5.011872-3 4.951878-3 6.309573-3 6.216400-3 7.943282-3 7.798678-3 1.000000-2 9.775177-3 1.258925-2 1.224021-2 1.584893-2 1.530906-2 1.995262-2 1.912222-2 2.511886-2 2.384851-2 3.162278-2 2.968849-2 3.981072-2 3.688075-2 5.011872-2 4.570555-2 6.309573-2 5.649546-2 7.943282-2 6.962475-2 1.000000-1 8.552998-2 1.258925-1 1.047100-1 1.584893-1 1.277636-1 1.995262-1 1.553733-1 2.511886-1 1.883007-1 3.162278-1 2.274533-1 3.981072-1 2.738384-1 5.011872-1 3.286491-1 6.309573-1 3.932296-1 7.943282-1 4.692659-1 1.000000+0 5.587761-1 1.258925+0 6.641309-1 1.584893+0 7.884893-1 1.995262+0 9.356069-1 2.511886+0 1.110139+0 3.162278+0 1.317870+0 3.981072+0 1.565816+0 5.011872+0 1.862580+0 6.309573+0 2.218798+0 7.943282+0 2.647231+0 1.000000+1 3.163837+0 1.258925+1 3.787864+0 1.584893+1 4.542998+0 1.995262+1 5.458125+0 2.511886+1 6.568943+0 3.162278+1 7.918881+0 3.981072+1 9.561343+0 5.011872+1 1.156211+1 6.309573+1 1.400173+1 7.943282+1 1.697925+1 1.000000+2 2.061672+1 1.258925+2 2.506400+1 1.584893+2 3.050564+1 1.995262+2 3.716883+1 2.511886+2 4.533399+1 3.162278+2 5.534657+1 3.981072+2 6.763098+1 5.011872+2 8.271435+1 6.309573+2 1.012438+2 7.943282+2 1.240197+2 1.000000+3 1.520293+2 1.258925+3 1.864923+2 1.584893+3 2.289177+2 1.995262+3 2.811808+2 2.511886+3 3.455665+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090663-8 7.943282-5 1.728249-8 1.000000-4 2.738688-8 1.258925-4 4.340110-8 1.584893-4 6.876215-8 1.995262-4 1.089451-7 2.511886-4 1.725702-7 3.162278-4 2.732811-7 3.981072-4 4.325683-7 5.011872-4 6.843485-7 6.309573-4 1.083726-6 7.943282-4 1.705562-6 1.000000-3 2.685582-6 1.258925-3 4.225240-6 1.584893-3 6.613037-6 1.995262-3 1.029904-5 2.511886-3 1.602894-5 3.162278-3 2.491505-5 3.981072-3 3.868225-5 5.011872-3 5.999482-5 6.309573-3 9.317344-5 7.943282-3 1.446043-4 1.000000-2 2.248231-4 1.258925-2 3.490462-4 1.584893-2 5.398767-4 1.995262-2 8.304062-4 2.511886-2 1.270351-3 3.162278-2 1.934282-3 3.981072-2 2.929971-3 5.011872-2 4.413169-3 6.309573-2 6.600270-3 7.943282-2 9.808071-3 1.000000-1 1.447002-2 1.258925-1 2.118253-2 1.584893-1 3.072571-2 1.995262-1 4.415294-2 2.511886-1 6.288790-2 3.162278-1 8.877446-2 3.981072-1 1.242687-1 5.011872-1 1.725381-1 6.309573-1 2.377277-1 7.943282-1 3.250623-1 1.000000+0 4.412239-1 1.258925+0 5.947945-1 1.584893+0 7.964039-1 1.995262+0 1.059655+0 2.511886+0 1.401747+0 3.162278+0 1.844407+0 3.981072+0 2.415256+0 5.011872+0 3.149292+0 6.309573+0 4.090775+0 7.943282+0 5.296051+0 1.000000+1 6.836163+0 1.258925+1 8.801391+0 1.584893+1 1.130593+1 1.995262+1 1.449450+1 2.511886+1 1.854992+1 3.162278+1 2.370390+1 3.981072+1 3.024937+1 5.011872+1 3.855661+1 6.309573+1 4.909400+1 7.943282+1 6.245357+1 1.000000+2 7.938328+1 1.258925+2 1.008285+2 1.584893+2 1.279837+2 1.995262+2 1.623574+2 2.511886+2 2.058547+2 3.162278+2 2.608812+2 3.981072+2 3.304762+2 5.011872+2 4.184729+2 6.309573+2 5.297135+2 7.943282+2 6.703085+2 1.000000+3 8.479707+2 1.258925+3 1.072433+3 1.584893+3 1.355975+3 1.995262+3 1.714082+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 1.103000-5 4.590995+7 1.135011-5 4.642637+7 1.159000-5 4.654256+7 1.159000-5 6.848144+7 1.165000-5 6.858058+7 1.190000-5 6.875950+7 1.220000-5 6.855299+7 1.245000-5 6.802837+7 1.250000-5 6.790518+7 1.273503-5 6.712727+7 1.285000-5 6.669982+7 1.303167-5 6.587721+7 1.320000-5 6.506846+7 1.335000-5 6.424845+7 1.350000-5 6.337961+7 1.370000-5 6.211759+7 1.385000-5 6.114070+7 1.400000-5 6.009125+7 1.420000-5 5.866900+7 1.435000-5 5.754310+7 1.462177-5 5.549958+7 1.470000-5 5.488774+7 1.500000-5 5.255250+7 1.531087-5 5.005757+7 1.550000-5 4.857718+7 1.570000-5 4.698113+7 1.603245-5 4.441308+7 1.610000-5 4.388741+7 1.659587-5 4.017778+7 1.710000-5 3.659189+7 1.717908-5 3.605558+7 1.770000-5 3.265227+7 1.778279-5 3.213904+7 1.840772-5 2.847433+7 1.850000-5 2.796965+7 1.920000-5 2.439961+7 1.927525-5 2.404557+7 2.000000-5 2.087912+7 2.018366-5 2.015173+7 2.110000-5 1.690238+7 2.137962-5 1.603321+7 2.238721-5 1.328470+7 2.300000-5 1.188572+7 2.418000-5 9.644050+6 2.418000-5 9.669615+6 2.426610-5 9.525946+6 2.430000-5 9.469721+6 2.454709-5 9.072100+6 2.470000-5 8.836486+6 2.497000-5 8.438861+6 2.540973-5 7.838138+6 2.560000-5 7.593447+6 2.575000-5 7.407284+6 2.586200-5 7.272018+6 2.595000-5 7.167915+6 2.605000-5 7.051886+6 2.615000-5 6.938216+6 2.625000-5 6.826849+6 2.635000-5 6.717730+6 2.642000-5 6.642656+6 2.650000-5 6.558151+6 2.657000-5 6.485322+6 2.665000-5 6.403338+6 2.673000-5 6.322663+6 2.681000-5 6.243271+6 2.689000-5 6.165139+6 2.696000-5 6.097788+6 2.705000-5 6.012561+6 2.715000-5 5.919630+6 2.722701-5 5.849309+6 2.725000-5 5.828485+6 2.735000-5 5.739007+6 2.750000-5 5.608043+6 2.765000-5 5.480862+6 2.787000-5 5.300909+6 2.851018-5 4.818522+6 2.880000-5 4.618672+6 2.910000-5 4.422905+6 2.937000-5 4.255785+6 2.960000-5 4.119819+6 2.990000-5 3.950824+6 3.020000-5 3.790742+6 3.050000-5 3.639025+6 3.080000-5 3.495164+6 3.110000-5 3.358685+6 3.135000-5 3.250274+6 3.170000-5 3.106139+6 3.210000-5 2.951625+6 3.245000-5 2.824726+6 3.273407-5 2.727035+6 3.280000-5 2.705238+6 3.330000-5 2.547239+6 3.370000-5 2.429736+6 3.420000-5 2.293033+6 3.467369-5 2.173088+6 3.470000-5 2.166725+6 3.520000-5 2.050404+6 3.570000-5 1.942631+6 3.630781-5 1.822081+6 3.690000-5 1.715993+6 3.770000-5 1.586317+6 3.850000-5 1.470481+6 3.890451-5 1.416527+6 3.935501-5 1.360434+6 4.030000-5 1.254698+6 4.129900-5 1.156090+6 4.168694-5 1.120954+6 4.216965-5 1.080511+6 4.220000-5 1.078076+6 4.350000-5 9.812162+5 4.415704-5 9.374542+5 4.466836-5 9.065426+5 4.518559-5 8.767376+5 4.623810-5 8.221181+5 4.786301-5 7.502316+5 4.800000-5 7.447190+5 4.954502-5 6.893963+5 5.000000-5 6.743712+5 5.011872-5 6.706976+5 5.150000-5 6.315828+5 5.188000-5 6.214235+5 5.230000-5 6.110187+5 5.350000-5 5.838966+5 5.370318-5 5.794444+5 5.450000-5 5.634172+5 5.559043-5 5.435469+5 5.580000-5 5.401046+5 5.650000-5 5.285686+5 5.754399-5 5.128121+5 5.821032-5 5.038648+5 5.850000-5 4.999356+5 5.950000-5 4.872555+5 6.025596-5 4.787095+5 6.095369-5 4.713804+5 6.150000-5 4.655578+5 6.237348-5 4.571427+5 6.350000-5 4.471857+5 6.400000-5 4.432016+5 6.450000-5 4.390968+5 6.531306-5 4.328396+5 6.650000-5 4.246504+5 6.683439-5 4.224939+5 6.760830-5 4.173388+5 6.850000-5 4.119869+5 7.000000-5 4.036764+5 7.079458-5 3.994702+5 7.244360-5 3.913954+5 7.328245-5 3.876915+5 7.413102-5 3.841822+5 7.500000-5 3.804092+5 7.585776-5 3.770094+5 7.845000-5 3.675544+5 7.845000-5 7.913920+5 7.852356-5 7.912980+5 7.900000-5 7.906951+5 7.959000-5 7.900477+5 7.959000-5 1.067404+6 8.000000-5 1.067853+6 8.128305-5 1.072212+6 8.222426-5 1.079326+6 8.230000-5 1.079911+6 8.300000-5 1.088626+6 8.330000-5 1.092448+6 8.413951-5 1.107354+6 8.420000-5 1.108537+6 8.511380-5 1.129731+6 8.610000-5 1.159243+6 8.650000-5 1.174072+6 8.709636-5 1.196690+6 8.810489-5 1.242986+6 8.912509-5 1.298897+6 9.015711-5 1.365757+6 9.040000-5 1.382632+6 9.120108-5 1.443101+6 9.150000-5 1.467169+6 9.240200-5 1.545577+6 9.300000-5 1.601643+6 9.400000-5 1.703117+6 9.772372-5 2.157049+6 9.800000-5 2.194415+6 9.885531-5 2.314312+6 9.900000-5 2.335261+6 9.950000-5 2.407937+6 1.005000-4 2.554493+6 1.011579-4 2.653745+6 1.020000-4 2.780945+6 1.025000-4 2.857302+6 1.035142-4 3.011239+6 1.040000-4 3.085342+6 1.052000-4 3.265895+6 1.055000-4 3.311022+6 1.065000-4 3.456600+6 1.071519-4 3.551292+6 1.080000-4 3.670615+6 1.085000-4 3.739705+6 1.096478-4 3.893363+6 1.100000-4 3.939665+6 1.110000-4 4.065557+6 1.115000-4 4.127064+6 1.128000-4 4.279146+6 1.135011-4 4.358499+6 1.150000-4 4.519806+6 1.170000-4 4.715532+6 1.190000-4 4.890587+6 1.198000-4 4.957736+6 1.218400-4 5.117005+6 1.220000-4 5.128835+6 1.230269-4 5.199170+6 1.250000-4 5.335627+6 1.260000-4 5.395044+6 1.288250-4 5.564187+6 1.318257-4 5.716546+6 1.333521-4 5.794410+6 1.380384-4 5.993333+6 1.400000-4 6.060415+6 1.430000-4 6.162733+6 1.462177-4 6.245047+6 1.480000-4 6.290360+6 1.531087-4 6.375639+6 1.548817-4 6.389561+6 1.580000-4 6.413697+6 1.584893-4 6.415837+6 1.621810-4 6.412885+6 1.635000-4 6.411832+6 1.640590-4 6.409677+6 1.678804-4 6.377335+6 1.690000-4 6.368025+6 1.698244-4 6.358930+6 1.747700-4 6.285182+6 1.760000-4 6.264013+6 1.819701-4 6.144702+6 1.820000-4 6.144120+6 1.840772-4 6.092882+6 1.847800-4 6.075764+6 1.847800-4 6.376685+6 1.862087-4 6.348785+6 1.865000-4 6.343156+6 1.900000-4 6.275139+6 1.905461-4 6.263783+6 1.918200-4 6.234175+6 1.918200-4 6.382735+6 2.000000-4 6.212763+6 2.020000-4 6.166620+6 2.041738-4 6.116890+6 2.065380-4 6.064393+6 2.100000-4 5.990376+6 2.113489-4 5.960789+6 2.120000-4 5.945380+6 2.135000-4 5.908281+6 2.187762-4 5.775255+6 2.190000-4 5.770259+6 2.238721-4 5.652665+6 2.264644-4 5.584878+6 2.317395-4 5.452975+6 2.330000-4 5.422539+6 2.350000-4 5.374490+6 2.400000-4 5.246021+6 2.454709-4 5.110477+6 2.483133-4 5.039237+6 2.511886-4 4.964771+6 2.514900-4 4.957092+6 2.514900-4 5.134582+6 2.527000-4 5.107547+6 2.540973-4 5.075800+6 2.560000-4 5.032430+6 2.570396-4 5.008662+6 2.580000-4 4.986776+6 2.590000-4 4.962623+6 2.620000-4 4.890700+6 2.630268-4 4.865821+6 2.665300-4 4.781903+6 2.680000-4 4.747378+6 2.691535-4 4.720320+6 2.722701-4 4.647940+6 2.730000-4 4.631308+6 2.754229-4 4.573868+6 2.786121-4 4.498556+6 2.818383-4 4.423676+6 2.830000-4 4.397278+6 2.851018-4 4.349843+6 2.900000-4 4.242008+6 2.917427-4 4.204533+6 2.985383-4 4.056227+6 3.019952-4 3.984101+6 3.090295-4 3.843144+6 3.126079-4 3.774526+6 3.150000-4 3.729093+6 3.162278-4 3.705497+6 3.235937-4 3.568093+6 3.280000-4 3.489776+6 3.311311-4 3.436071+6 3.350000-4 3.370979+6 3.388442-4 3.307316+6 3.427678-4 3.242468+6 3.467369-4 3.179042+6 3.550000-4 3.052251+6 3.600000-4 2.979294+6 3.630781-4 2.935081+6 3.672823-4 2.875081+6 3.700000-4 2.836986+6 3.715352-4 2.815757+6 3.801894-4 2.700386+6 3.850000-4 2.639594+6 3.890451-4 2.589505+6 3.935501-4 2.534384+6 4.073803-4 2.374255+6 4.168694-4 2.273750+6 4.216965-4 2.224704+6 4.265795-4 2.175449+6 4.500000-4 1.961621+6 4.518559-4 1.946073+6 4.570882-4 1.902853+6 4.623810-4 1.860241+6 4.786301-4 1.736789+6 4.897788-4 1.658344+6 5.011872-4 1.583560+6 5.069907-4 1.546635+6 5.128614-4 1.510649+6 5.150000-4 1.497807+6 5.308844-4 1.406822+6 5.432503-4 1.341677+6 5.559043-4 1.278334+6 5.623413-4 1.247771+6 5.688529-4 1.217754+6 5.956621-4 1.105264+6 6.000000-4 1.088380+6 6.025596-4 1.078528+6 6.095369-4 1.052251+6 6.382635-4 9.529144+5 6.500000-4 9.164497+5 6.606934-4 8.849150+5 6.760830-4 8.411807+5 6.839116-4 8.201226+5 7.079458-4 7.602775+5 7.244360-4 7.228276+5 7.413102-4 6.864506+5 7.585776-4 6.520246+5 7.800000-4 6.127730+5 7.852356-4 6.036849+5 7.943282-4 5.883784+5 8.128305-4 5.584947+5 8.222426-4 5.440790+5 8.511380-4 5.031627+5 8.709636-4 4.776019+5 8.810489-4 4.651912+5 9.015711-4 4.411827+5 9.120108-4 4.296197+5 9.332543-4 4.074464+5 9.549926-4 3.863987+5 9.660509-4 3.762208+5 9.885531-4 3.567074+5 1.023293-3 3.290613+5 1.035142-3 3.203585+5 1.059254-3 3.035960+5 1.071519-3 2.954867+5 1.096478-3 2.799457+5 1.122018-3 2.652097+5 1.135011-3 2.581049+5 1.148154-3 2.511463+5 1.161449-3 2.443815+5 1.202264-3 2.250618+5 1.230269-3 2.130824+5 1.258925-3 2.017321+5 1.270000-3 1.975626+5 1.288250-3 1.909315+5 1.333521-3 1.756891+5 1.348963-3 1.708843+5 1.380384-3 1.616842+5 1.396368-3 1.572804+5 1.400000-3 1.563009+5 1.412538-3 1.529708+5 1.445440-3 1.446023+5 1.513561-3 1.292743+5 1.531087-3 1.257161+5 1.553600-3 1.213395+5 1.553600-3 4.632792+5 1.563500-3 4.700972+5 1.570000-3 4.730848+5 1.575000-3 4.753999+5 1.584893-3 4.759750+5 1.590000-3 4.762842+5 1.602100-3 4.748946+5 1.602100-3 5.523306+5 1.602280-3 5.545273+5 1.602500-3 5.608935+5 1.602700-3 5.666931+5 1.603000-3 5.753934+5 1.603300-3 5.839897+5 1.603600-3 5.923860+5 1.603900-3 6.005724+5 1.604150-3 6.070945+5 1.604500-3 6.157653+5 1.604700-3 6.204930+5 1.605000-3 6.271495+5 1.605200-3 6.312655+5 1.605350-3 6.334676+5 1.605900-3 6.381019+5 1.606000-3 6.399005+5 1.606800-3 6.446033+5 1.606950-3 6.451860+5 1.607100-3 6.464052+5 1.607900-3 6.513097+5 1.608100-3 6.523113+5 1.610200-3 6.566650+5 1.610500-3 6.576621+5 1.613000-3 6.590124+5 1.616000-3 6.581393+5 1.621500-3 6.550407+5 1.621810-3 6.544633+5 1.624000-3 6.529735+5 1.630000-3 6.477185+5 1.640590-3 6.375351+5 1.665000-3 6.149120+5 1.670000-3 6.106679+5 1.698244-3 5.885133+5 1.710000-3 5.788902+5 1.725000-3 5.673708+5 1.737801-3 5.573061+5 1.750000-3 5.479439+5 1.757924-3 5.417042+5 1.769200-3 5.329787+5 1.769200-3 6.059379+5 1.778279-3 5.986524+5 1.780000-3 5.972843+5 1.819701-3 5.664485+5 1.883649-3 5.214809+5 1.905461-3 5.071355+5 1.910000-3 5.042222+5 1.927525-3 4.930320+5 1.949845-3 4.792784+5 1.950000-3 4.791854+5 1.972423-3 4.659798+5 2.018366-3 4.405032+5 2.041738-3 4.282170+5 2.065380-3 4.162534+5 2.089296-3 4.046259+5 2.137962-3 3.822244+5 2.150000-3 3.769574+5 2.162719-3 3.715005+5 2.187762-3 3.610488+5 2.264644-3 3.314599+5 2.290868-3 3.221559+5 2.317395-3 3.131193+5 2.344229-3 3.043422+5 2.371374-3 2.957664+5 2.398833-3 2.873313+5 2.426610-3 2.791432+5 2.540973-3 2.486338+5 2.570396-3 2.415319+5 2.630268-3 2.279458+5 2.691535-3 2.148597+5 2.722701-3 2.086093+5 2.754229-3 2.025339+5 2.851018-3 1.853748+5 2.884032-3 1.799892+5 2.917427-3 1.747647+5 3.019952-3 1.598708+5 3.090295-3 1.506717+5 3.126079-3 1.462691+5 3.198895-3 1.378548+5 3.235937-3 1.337679+5 3.311311-3 1.259610+5 3.349654-3 1.222089+5 3.388442-3 1.185692+5 3.507519-3 1.083049+5 3.548134-3 1.050845+5 3.589219-3 1.019622+5 3.630781-3 9.891607+4 3.672823-3 9.596359+4 3.758374-3 9.032707+4 3.801894-3 8.761931+4 3.845918-3 8.498605+4 3.935501-3 7.996074+4 3.981072-3 7.756201+4 4.000000-3 7.659435+4 4.027170-3 7.523393+4 4.073803-3 7.297677+4 4.120975-3 7.078911+4 4.168694-3 6.864746+4 4.216965-3 6.657223+4 4.265795-3 6.455262+4 4.365158-3 6.068217+4 4.466836-3 5.705010+4 4.518559-3 5.531698+4 4.570882-3 5.363708+4 4.623810-3 5.200955+4 4.731513-3 4.890278+4 4.841724-3 4.598651+4 4.954502-3 4.321009+4 5.011872-3 4.188709+4 5.128614-3 3.935224+4 5.248075-3 3.697381+4 5.370318-3 3.474264+4 5.432503-3 3.367942+4 5.500000-3 3.257534+4 5.559043-3 3.164493+4 5.623413-3 3.066727+4 5.688529-3 2.971979+4 5.821032-3 2.790841+4 6.000000-3 2.569664+4 6.095369-3 2.461701+4 6.165950-3 2.385834+4 6.237348-3 2.312367+4 6.309573-3 2.240753+4 6.382635-3 2.170946+4 6.531306-3 2.037733+4 6.606934-3 1.974309+4 6.839116-3 1.795222+4 6.918310-3 1.739310+4 7.244360-3 1.532994+4 7.413102-3 1.438688+4 7.498942-3 1.393459+4 7.762471-3 1.266292+4 7.852356-3 1.226476+4 8.222426-3 1.079657+4 8.317638-3 1.045837+4 8.511380-3 9.809952+3 8.609938-3 9.501334+3 8.709636-3 9.202238+3 8.810489-3 8.911160+3 9.015711-3 8.357061+3 9.120108-3 8.093408+3 9.440609-3 7.350532+3 9.500000-3 7.223265+3 9.772372-3 6.673228+3 9.885531-3 6.461708+3 1.000000-2 6.256985+3 1.011579-2 6.058904+3 1.023293-2 5.867018+3 1.035142-2 5.680462+3 1.071519-2 5.156525+3 1.083927-2 4.992727+3 1.096478-2 4.834174+3 1.122018-2 4.529991+3 1.135011-2 4.385328+3 1.161449-2 4.109966+3 1.174898-2 3.978986+3 1.202264-2 3.729443+3 1.244515-2 3.383407+3 1.258925-2 3.275477+3 1.273503-2 3.170837+3 1.288250-2 3.068745+3 1.318257-2 2.874558+3 1.333521-2 2.782207+3 1.343500-2 2.724028+3 1.343500-2 1.946601+4 1.359000-2 1.901399+4 1.364583-2 1.880328+4 1.380384-2 1.822401+4 1.390000-2 1.788335+4 1.412538-2 1.718543+4 1.420000-2 1.696269+4 1.428894-2 1.668731+4 1.445440-2 1.619125+4 1.496236-2 1.479014+4 1.500000-2 1.469295+4 1.513561-2 1.435001+4 1.531087-2 1.392900+4 1.548817-2 1.352037+4 1.603245-2 1.236543+4 1.659587-2 1.130941+4 1.678804-2 1.096701+4 1.698244-2 1.063483+4 1.737801-2 1.000049+4 1.757924-2 9.697707+3 1.778279-2 9.403777+3 1.798871-2 9.118706+3 1.883649-2 8.062568+3 1.949845-2 7.351698+3 2.000000-2 6.869410+3 2.041738-2 6.500569+3 2.065380-2 6.303437+3 2.089296-2 6.112304+3 2.113489-2 5.922614+3 2.162719-2 5.560685+3 2.213095-2 5.220949+3 2.290868-2 4.749887+3 2.371374-2 4.321432+3 2.454709-2 3.931174+3 2.483133-2 3.809108+3 2.511886-2 3.690845+3 2.540973-2 3.576257+3 2.600160-2 3.357644+3 2.630268-2 3.253397+3 2.691535-2 3.050594+3 2.722701-2 2.953999+3 2.786121-2 2.769898+3 2.851018-2 2.597089+3 2.951209-2 2.357866+3 3.019952-2 2.210783+3 3.054921-2 2.140727+3 3.126079-2 2.007192+3 3.162278-2 1.943579+3 3.235937-2 1.822354+3 3.300000-2 1.725132+3 3.311311-2 1.708424+3 3.467369-2 1.498461+3 3.548134-2 1.403365+3 3.589219-2 1.358110+3 3.630781-2 1.314316+3 3.672823-2 1.271929+3 3.935501-2 1.044865+3 4.073803-2 9.469259+2 4.300000-2 8.100751+2 4.315191-2 8.018648+2 4.365158-2 7.756325+2 4.518559-2 7.019805+2 4.623810-2 6.568130+2 4.677351-2 6.353327+2 4.897788-2 5.561367+2 5.011872-2 5.203262+2 5.128614-2 4.864310+2 5.188000-2 4.703186+2 5.370318-2 4.251155+2 5.559043-2 3.842624+2 5.623413-2 3.715368+2 6.095369-2 2.934436+2 6.165950-2 2.837184+2 6.237348-2 2.743159+2 6.309573-2 2.651310+2 6.839116-2 2.089012+2 7.673615-2 1.485780+2 7.852356-2 1.387901+2 8.413951-2 1.129248+2 9.225714-2 8.575876+1 9.332543-2 8.285933+1 9.772372-2 7.221041+1 1.047129-1 5.874636+1 1.059254-1 5.676061+1 1.083927-1 5.297451+1 1.096478-1 5.117631+1 1.161449-1 4.306069+1 1.174898-1 4.159914+1 1.230269-1 3.623302+1 1.258925-1 3.381561+1 1.288250-1 3.155944+1 1.333521-1 2.845481+1 1.412538-1 2.394436+1 1.428894-1 2.313209+1 1.445440-1 2.234736+1 1.479108-1 2.085693+1 1.513561-1 1.946593+1 1.584893-1 1.695633+1 1.603245-1 1.638125+1 1.640590-1 1.528892+1 1.659587-1 1.477041+1 1.737801-1 1.286649+1 1.757924-1 1.243018+1 1.798871-1 1.160939+1 1.840772-1 1.084281+1 1.862087-1 1.047873+1 1.905461-1 9.786829+0 1.927525-1 9.458444+0 1.949845-1 9.141128+0 2.000000-1 8.478300+0 2.018366-1 8.251707+0 2.089296-1 7.448898+0 2.113489-1 7.199047+0 2.162719-1 6.724216+0 2.213095-1 6.280717+0 2.264644-1 5.866505+0 2.317395-1 5.484505+0 2.344229-1 5.302944+0 2.371374-1 5.127393+0 2.398833-1 4.957659+0 2.426610-1 4.793790+0 2.511886-1 4.333979+0 2.540973-1 4.190734+0 2.600160-1 3.918326+0 2.630268-1 3.788840+0 2.660725-1 3.663633+0 2.722701-1 3.428913+0 2.818383-1 3.104729+0 2.884032-1 2.906194+0 2.917427-1 2.811742+0 2.951209-1 2.720359+0 3.019952-1 2.546411+0 3.054921-1 2.463656+0 3.126079-1 2.308579+0 3.162278-1 2.234746+0 3.198895-1 2.163282+0 3.235937-1 2.094102+0 3.273407-1 2.027245+0 3.311311-1 1.962544+0 3.349654-1 1.899909+0 3.427678-1 1.780571+0 3.467369-1 1.723749+0 3.548134-1 1.617417+0 3.589219-1 1.566741+0 3.672823-1 1.470103+0 3.715352-1 1.424127+0 3.758374-1 1.379604+0 3.890451-1 1.254227+0 3.935501-1 1.215791+0 4.000000-1 1.163523+0 4.027170-1 1.142425+0 4.073803-1 1.107419+0 4.120975-1 1.073487+0 4.168694-1 1.040664+0 4.265795-1 9.780232-1 4.315191-1 9.481310-1 4.365158-1 9.197525-1 4.415705-1 8.922247-1 4.518559-1 8.396177-1 4.623810-1 7.901183-1 4.677351-1 7.665272-1 4.731513-1 7.436494-1 4.786301-1 7.214554-1 4.841724-1 7.004129-1 4.954502-1 6.601516-1 5.011872-1 6.408996-1 5.128614-1 6.040636-1 5.188000-1 5.864896-1 5.248075-1 5.694354-1 5.308844-1 5.528777-1 5.370318-1 5.371998-1 5.432503-1 5.219666-1 5.559043-1 4.927870-1 5.623413-1 4.788152-1 5.688529-1 4.652396-1 5.754399-1 4.520842-1 5.888437-1 4.268899-1 5.956621-1 4.151395-1 6.025596-1 4.037122-1 6.095369-1 3.925996-1 6.165950-1 3.817932-1 6.237348-1 3.712844-1 6.309573-1 3.610656-1 6.382635-1 3.511595-1 6.456542-1 3.415265-1 6.606935-1 3.235411-1 6.683439-1 3.149070-1 6.760830-1 3.065033-1 6.839117-1 2.983239-1 6.918310-1 2.903867-1 7.085700-1 2.745821-1 7.161434-1 2.680612-1 7.244360-1 2.611744-1 7.328245-1 2.544647-1 7.413102-1 2.479272-1 7.498942-1 2.415579-1 7.585776-1 2.353532-1 7.762471-1 2.234583-1 7.852356-1 2.178999-1 8.035261-1 2.071947-1 8.128305-1 2.020409-1 8.222427-1 1.970158-1 8.413951-1 1.873383-1 8.511380-1 1.826943-1 8.609938-1 1.781655-1 8.912509-1 1.655358-1 9.015711-1 1.615281-1 9.120108-1 1.576180-1 9.225714-1 1.538026-1 9.332543-1 1.500819-1 9.440609-1 1.464517-1 9.549926-1 1.429228-1 9.660509-1 1.396092-1 9.772372-1 1.363731-1 9.885531-1 1.332120-1 1.000000+0 1.301247-1 1.011579+0 1.271107-1 1.023293+0 1.241663-1 1.035142+0 1.212982-1 1.047129+0 1.185629-1 1.059254+0 1.158898-1 1.071519+0 1.132771-1 1.083927+0 1.107231-1 1.096478+0 1.082268-1 1.109175+0 1.057868-1 1.122018+0 1.034019-1 1.135011+0 1.010708-1 1.148154+0 9.879271-2 1.161449+0 9.656718-2 1.174898+0 9.446824-2 1.188600+0 9.240058-2 1.202264+0 9.040680-2 1.230269+0 8.652000-2 1.273503+0 8.100171-2 1.288250+0 7.924255-2 1.303167+0 7.758185-2 1.318257+0 7.595593-2 1.333521+0 7.436416-2 1.364583+0 7.127984-2 1.412538+0 6.689202-2 1.428894+0 6.549114-2 1.445440+0 6.416600-2 1.479108+0 6.159569-2 1.548817+0 5.675970-2 1.584893+0 5.448627-2 1.603245+0 5.338458-2 1.640590+0 5.132181-2 1.659587+0 5.032054-2 1.678804+0 4.933882-2 1.717908+0 4.743247-2 1.737801+0 4.650707-2 1.778279+0 4.471049-2 1.798871+0 4.383890-2 1.819701+0 4.301576-2 1.840772+0 4.220809-2 1.862087+0 4.141560-2 1.883649+0 4.063799-2 1.927525+0 3.912631-2 1.949845+0 3.839168-2 2.000000+0 3.681987-2 2.018366+0 3.627036-2 2.065380+0 3.496989-2 2.089296+0 3.433727-2 2.113489+0 3.371608-2 2.162719+0 3.250724-2 2.213095+0 3.134175-2 2.264644+0 3.021826-2 2.290868+0 2.967199-2 2.344229+0 2.864542-2 2.371374+0 2.814553-2 2.398833+0 2.765438-2 2.454709+0 2.669763-2 2.511886+0 2.577400-2 2.570396+0 2.488247-2 2.600160+0 2.444858-2 2.630268+0 2.402360-2 2.691535+0 2.322249-2 2.722701+0 2.283202-2 2.754229+0 2.244810-2 2.818383+0 2.169955-2 2.884032+0 2.097596-2 2.951209+0 2.027665-2 2.985383+0 1.993598-2 3.019952+0 1.960215-2 3.090295+0 1.897340-2 3.126079+0 1.866663-2 3.198895+0 1.806790-2 3.311311+0 1.720562-2 3.388442+0 1.665385-2 3.427678+0 1.638479-2 3.507519+0 1.586124-2 3.589219+0 1.537021-2 3.630781+0 1.513043-2 3.715352+0 1.466204-2 3.845918+0 1.398650-2 3.935501+0 1.355360-2 4.027170+0 1.313431-2 4.120975+0 1.272914-2 4.216965+0 1.234758-2 4.315191+0 1.197747-2 4.415704+0 1.161846-2 4.570882+0 1.110002-2 4.623810+0 1.093243-2 4.731513+0 1.060498-2 4.841724+0 1.028827-2 5.000000+0 9.874134-3 5.069907+0 9.700569-3 5.188000+0 9.419437-3 5.370318+0 9.012939-3 5.495409+0 8.751779-3 5.623413+0 8.498323-3 5.754399+0 8.252913-3 6.000000+0 7.837336-3 6.095369+0 7.686030-3 6.237348+0 7.470340-3 6.456542+0 7.158101-3 6.606934+0 6.957258-3 6.683439+0 6.858965-3 6.839116+0 6.666613-3 7.000000+0 6.478362-3 7.328245+0 6.132245-3 7.413102+0 6.048238-3 7.585776+0 5.883660-3 7.852356+0 5.645154-3 7.943282+0 5.567827-3 8.128305+0 5.416346-3 8.222427+0 5.342162-3 8.413951+0 5.196890-3 8.609938+0 5.055939-3 9.015711+0 4.792350-3 9.120108+0 4.728629-3 9.225714+0 4.665756-3 9.440609+0 4.542507-3 9.660509+0 4.422515-3 9.885531+0 4.305702-3 1.011579+1 4.191984-3 1.023293+1 4.136255-3 1.059254+1 3.973542-3 1.083927+1 3.868884-3 1.148154+1 3.624846-3 1.161449+1 3.577919-3 1.174898+1 3.531599-3 1.202264+1 3.440754-3 1.244515+1 3.308842-3 1.273503+1 3.223734-3 1.303167+1 3.140817-3 1.318257+1 3.100164-3 1.348963+1 3.020462-3 1.380384+1 2.942983-3 1.445440+1 2.797138-3 1.462177+1 2.761821-3 1.479108+1 2.726951-3 1.566751+1 2.559090-3 1.678804+1 2.371240-3 1.717908+1 2.311745-3 1.757924+1 2.253744-3 1.778279+1 2.225294-3 1.800000+1 2.195692-3 1.840772+1 2.142220-3 1.883649+1 2.089700-3 1.905461+1 2.063924-3 1.927525+1 2.038468-3 2.065380+1 1.892187-3 2.344229+1 1.650724-3 2.371374+1 1.630365-3 2.400000+1 1.609414-3 2.426610+1 1.590399-3 2.454709+1 1.570790-3 2.483133+1 1.551456-3 2.540973+1 1.514111-3 2.570396+1 1.495778-3 2.600160+1 1.477666-3 2.951209+1 1.292345-3 3.235937+1 1.172338-3 3.273407+1 1.158144-3 3.311311+1 1.144122-3 3.349654+1 1.130270-3 3.427678+1 1.103074-3 3.467369+1 1.089743-3 3.630781+1 1.038789-3 3.715352+1 1.014212-3 3.801894+1 9.902177-4 4.570882+1 8.176075-4 5.128614+1 7.253602-4 5.188000+1 7.167289-4 5.248075+1 7.082005-4 5.308844+1 6.997739-4 5.432503+1 6.832239-4 5.495409+1 6.751072-4 5.754399+1 6.440124-4 5.888437+1 6.290062-4 6.025596+1 6.143500-4 7.673615+1 4.796283-4 9.120108+1 4.018938-4 9.225714+1 3.971841-4 9.549926+1 3.833841-4 9.660509+1 3.788916-4 9.772372+1 3.744517-4 1.000000+2 3.657289-4 1.011579+2 3.614485-4 1.071519+2 3.409899-4 1.109175+2 3.292747-4 1.135011+2 3.216893-4 1.462177+2 2.489409-4 1.819701+2 1.994980-4 1.840772+2 1.971867-4 1.905461+2 1.904125-4 1.927525+2 1.882066-4 1.949845+2 1.860261-4 1.995262+2 1.817413-4 2.018366+2 1.796370-4 2.137962+2 1.695246-4 2.213095+2 1.637325-4 2.264644+2 1.599816-4 2.917427+2 1.239805-4 3.630781+2 9.947967-5 3.672823+2 9.833358-5 3.801894+2 9.497395-5 3.845918+2 9.387978-5 3.890451+2 9.279823-5 3.981072+2 9.067245-5 4.027170+2 8.962827-5 4.265795+2 8.460195-5 4.415704+2 8.172251-5 4.518559+2 7.985753-5 1.161449+3 3.099256-5 1.445440+3 2.488928-5 1.462177+3 2.460366-5 1.513561+3 2.376628-5 1.531087+3 2.349354-5 1.548817+3 2.322391-5 1.584893+3 2.269396-5 1.603245+3 2.243358-5 1.698244+3 2.117836-5 1.757924+3 2.045920-5 3.589219+3 1.001875-5 1.000000+5 3.593053-7 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 1.103000-5 1.103000-5 1.159000-5 1.103000-5 1.159000-5 1.120940-5 2.418000-5 1.123756-5 2.418000-5 1.127178-5 2.735000-5 1.125215-5 2.990000-5 1.131186-5 3.210000-5 1.143333-5 3.420000-5 1.161716-5 3.630781-5 1.187174-5 3.890451-5 1.227595-5 4.168694-5 1.280587-5 4.518559-5 1.356256-5 5.011872-5 1.466977-5 5.370318-5 1.540453-5 5.650000-5 1.589837-5 5.950000-5 1.634429-5 6.237348-5 1.668469-5 6.531306-5 1.695643-5 6.850000-5 1.716844-5 7.244360-5 1.733927-5 7.585776-5 1.742234-5 7.845000-5 1.745908-5 7.845000-5 2.732887-5 7.959000-5 2.740758-5 7.959000-5 2.956906-5 8.300000-5 2.987602-5 8.511380-5 3.018666-5 8.810489-5 3.081617-5 9.400000-5 3.231461-5 9.885531-5 3.332088-5 1.025000-4 3.384203-5 1.071519-4 3.427263-5 1.135011-4 3.460511-5 1.260000-4 3.490623-5 1.531087-4 3.515550-5 1.847800-4 3.523189-5 1.847800-4 3.649222-5 1.918200-4 3.665350-5 1.918200-4 3.727718-5 2.190000-4 3.809457-5 2.514900-4 3.890447-5 2.514900-4 4.010869-5 2.730000-4 4.087683-5 3.162278-4 4.197190-5 3.935501-4 4.364198-5 4.897788-4 4.537473-5 6.095369-4 4.714706-5 7.585776-4 4.893657-5 9.120108-4 5.043259-5 1.096478-3 5.188976-5 1.348963-3 5.345181-5 1.553600-3 5.445568-5 1.553600-3 8.193853-5 1.584893-3 8.268286-5 1.602100-3 8.291769-5 1.602100-3 8.444954-5 1.605200-3 8.565935-5 1.610500-3 8.604827-5 1.769200-3 8.629339-5 1.769200-3 9.177993-5 2.041738-3 9.277103-5 3.198895-3 9.566741-5 4.570882-3 9.826606-5 6.382635-3 1.008900-4 8.810489-3 1.035198-4 1.174898-2 1.058717-4 1.343500-2 1.069466-4 1.343500-2 1.247528-4 2.371374-2 1.256002-4 5.370318-2 1.262667-4 1.927525-1 1.266902-4 1.148154+1 1.268256-4 1.000000+5 1.268258-4 1 35000 7 7 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.103000-5 0.0 7.959000-5 0.0 7.959000-5 1.093052-9 8.330000-5 1.114597-9 8.511380-5 1.129721-9 8.709636-5 1.153245-9 8.912509-5 1.184398-9 9.120108-5 1.221521-9 9.400000-5 1.276179-9 9.900000-5 1.369581-9 1.005000-4 1.394036-9 1.035142-4 1.436518-9 1.065000-4 1.470823-9 1.110000-4 1.509136-9 1.128000-4 1.521312-9 1.190000-4 1.551015-9 1.260000-4 1.570703-9 1.380384-4 1.592494-9 1.580000-4 1.614847-9 1.760000-4 1.625795-9 1.847800-4 1.629606-9 1.847800-4 1.951999-9 1.918200-4 1.993576-9 1.918200-4 2.201993-9 2.065380-4 2.330642-9 2.135000-4 2.391973-9 2.350000-4 2.546070-9 2.514900-4 2.666830-9 2.514900-4 2.954922-9 2.590000-4 3.037482-9 2.691535-4 3.132369-9 2.851018-4 3.261010-9 3.162278-4 3.475117-9 3.550000-4 3.724393-9 3.935501-4 3.951010-9 4.518559-4 4.262707-9 4.897788-4 4.445229-9 5.559043-4 4.735269-9 6.095369-4 4.950233-9 6.839116-4 5.216598-9 7.852356-4 5.537614-9 8.810489-4 5.800769-9 9.660509-4 6.009069-9 1.071519-3 6.238329-9 1.202264-3 6.482851-9 1.348963-3 6.719442-9 1.553600-3 6.994025-9 1.553600-3 2.011171-5 1.570000-3 2.043514-5 1.584893-3 2.063226-5 1.602100-3 2.079185-5 1.602100-3 2.210694-5 1.602280-3 2.214053-5 1.603900-3 2.276990-5 1.605200-3 2.314035-5 1.606800-3 2.329979-5 1.608100-3 2.339216-5 1.613000-3 2.350248-5 1.630000-3 2.354687-5 1.769200-3 2.357759-5 1.769200-3 2.409756-5 2.917427-3 2.417949-5 1.343500-2 2.396083-5 1.343500-2 6.479106-3 1.603245-2 6.528710-3 2.290868-2 6.593278-3 3.467369-2 6.640302-3 6.309573-2 6.674709-3 1.949845-1 6.691861-3 2.951209+1 6.698504-3 1.000000+5 6.698511-3 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.103000-5 0.0 1.159000-5 5.600000-7 1.159000-5 3.805970-7 1.435000-5 3.124824-6 2.418000-5 1.294244-5 2.418000-5 1.290822-5 2.765000-5 1.639482-5 3.080000-5 1.944692-5 3.370000-5 2.213284-5 3.690000-5 2.494483-5 4.030000-5 2.776881-5 4.623810-5 3.243517-5 5.370318-5 3.829865-5 5.950000-5 4.315571-5 6.531306-5 4.835663-5 7.328245-5 5.591739-5 7.845000-5 6.099092-5 7.845000-5 5.112113-5 7.959000-5 5.218242-5 7.959000-5 5.001985-5 8.420000-5 5.416212-5 8.810489-5 5.728755-5 9.400000-5 6.168411-5 9.950000-5 6.607058-5 1.055000-4 7.135455-5 1.150000-4 8.033972-5 1.462177-4 1.111006-4 1.847800-4 1.495465-4 1.847800-4 1.482858-4 1.918200-4 1.551645-4 1.918200-4 1.545406-4 2.514900-4 2.125829-4 2.514900-4 2.113784-4 3.672823-4 3.241717-4 7.413102-4 6.925605-4 1.553600-3 1.499137-3 1.553600-3 1.451550-3 1.602100-3 1.498390-3 1.602100-3 1.495544-3 1.613000-3 1.503405-3 1.769200-3 1.659329-3 1.769200-3 1.653323-3 1.343500-2 1.330409-2 1.343500-2 6.831141-3 1.778279-2 1.110740-2 3.311311-2 2.635049-2 1.000000+5 9.999999+4 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.343500-2 1.674198+4 1.359000-2 1.637705+4 1.390000-2 1.540950+4 1.420000-2 1.463398+4 1.513561-2 1.240702+4 1.659587-2 9.815252+3 2.089296-2 5.339712+3 2.630268-2 2.856236+3 3.300000-2 1.519900+3 4.073803-2 8.363624+2 5.011872-2 4.604142+2 6.237348-2 2.430686+2 7.852356-2 1.231057+2 1.059254-1 5.038791+1 1.757924-1 1.104057+1 2.264644-1 5.211464+0 2.660725-1 3.254764+0 3.054921-1 2.188795+0 3.467369-1 1.531463+0 3.890451-1 1.114356+0 4.315191-1 8.424434-1 4.786301-1 6.410958-1 5.308844-1 4.913253-1 5.888437-1 3.793850-1 6.456542-1 3.035443-1 7.085700-1 2.440386-1 7.762471-1 1.986387-1 8.609938-1 1.584116-1 9.549926-1 1.270907-1 1.035142+0 1.078681-1 1.161449+0 8.587924-2 1.288250+0 7.047127-2 1.428894+0 5.824104-2 1.603245+0 4.747413-2 1.798871+0 3.898526-2 2.018366+0 3.225489-2 2.290868+0 2.638714-2 2.630268+0 2.136334-2 3.019952+0 1.743143-2 3.507519+0 1.410449-2 4.120975+0 1.131933-2 4.841724+0 9.148806-3 5.754399+0 7.338904-3 7.000000+0 5.760900-3 8.609938+0 4.496011-3 1.083927+1 3.440437-3 1.380384+1 2.617104-3 1.840772+1 1.905014-3 2.483133+1 1.379684-3 3.467369+1 9.690868-4 5.495409+1 6.003624-4 1.011579+2 3.214319-4 2.018366+2 1.597501-4 4.027170+2 7.970585-5 1.603245+3 1.995005-5 1.000000+5 3.195300-7 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.343500-2 1.276500-4 1.000000+5 1.276500-4 1 35000 7 7 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.343500-2 7.529400-3 1.000000+5 7.529400-3 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.343500-2 5.777950-3 1.000000+5 9.999999+4 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.769200-3 7.295920+4 1.883649-3 6.817660+4 1.910000-3 6.691400+4 1.949845-3 6.470922+4 2.018366-3 6.141162+4 2.162719-3 5.484998+4 2.540973-3 4.192651+4 2.917427-3 3.307964+4 3.198895-3 2.799071+4 3.758374-3 2.073795+4 4.216965-3 1.658511+4 4.841724-3 1.259985+4 5.559043-3 9.480217+3 6.237348-3 7.437760+3 7.244360-3 5.379439+3 8.317638-3 3.956757+3 9.500000-3 2.924680+3 1.096478-2 2.095447+3 1.273503-2 1.467806+3 1.496236-2 9.917182+2 1.757924-2 6.642319+2 2.041738-2 4.544219+2 2.371374-2 3.087176+2 2.786121-2 2.020914+2 3.311311-2 1.272854+2 3.935501-2 7.952488+1 4.677351-2 4.931002+1 5.623413-2 2.938874+1 6.839116-2 1.682453+1 8.413951-2 9.251066+0 1.083927-1 4.416233+0 1.905461-1 8.405710-1 2.398833-1 4.294641-1 2.818383-1 2.702921-1 3.235937-1 1.829969-1 3.672823-1 1.288569-1 4.120975-1 9.429951-2 4.623810-1 6.951598-2 5.128614-1 5.320810-2 5.688529-1 4.102440-2 6.309573-1 3.187592-2 6.839117-1 2.635611-2 7.585776-1 2.080860-2 8.413951-1 1.655743-2 9.440609-1 1.294338-2 1.023293+0 1.097606-2 1.161449+0 8.539116-3 1.288250+0 7.007060-3 1.428894+0 5.790894-3 1.603245+0 4.720356-3 1.798871+0 3.876368-3 2.018366+0 3.207046-3 2.290868+0 2.623518-3 2.600160+0 2.161138-3 2.985383+0 1.762324-3 3.427678+0 1.448151-3 4.027170+0 1.160936-3 4.731513+0 9.373472-4 5.623413+0 7.511489-4 6.839116+0 5.892574-4 8.413951+0 4.593704-4 1.059254+1 3.512427-4 1.348963+1 2.669844-4 1.800000+1 1.940900-4 2.454709+1 1.388789-4 3.427678+1 9.752843-5 5.432503+1 6.040715-5 1.000000+2 3.233600-5 1.995262+2 1.606938-5 3.981072+2 8.017316-6 1.584893+3 2.006653-6 1.000000+5 3.177000-8 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.769200-3 1.318600-4 1.000000+5 1.318600-4 1 35000 7 7 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.769200-3 2.789600-5 1.000000+5 2.789600-5 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.769200-3 1.609444-3 1.000000+5 1.000000+5 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.602100-3 7.743600+4 1.602280-3 7.965300+4 1.602500-3 8.604400+4 1.602700-3 9.186600+4 1.603000-3 1.006000+5 1.603300-3 1.092300+5 1.603600-3 1.176600+5 1.603900-3 1.258800+5 1.604150-3 1.324300+5 1.604500-3 1.411400+5 1.604700-3 1.458900+5 1.605000-3 1.525800+5 1.605200-3 1.567600+5 1.605350-3 1.590100+5 1.605900-3 1.638200+5 1.606000-3 1.656505+5 1.606800-3 1.706085+5 1.606950-3 1.712390+5 1.607100-3 1.725060+5 1.607900-3 1.776653+5 1.608100-3 1.787305+5 1.610200-3 1.837510+5 1.610500-3 1.848432+5 1.613000-3 1.869839+5 1.616000-3 1.875506+5 1.621500-3 1.870720+5 1.621810-3 1.866416+5 1.630000-3 1.849532+5 1.670000-3 1.732256+5 1.710000-3 1.639300+5 1.750000-3 1.564500+5 1.780000-3 1.501500+5 2.041738-3 1.053600+5 2.344229-3 7.350400+4 2.630268-3 5.406200+4 2.917427-3 4.062500+4 3.311311-3 2.855400+4 3.801894-3 1.921900+4 4.265795-3 1.375400+4 5.011872-3 8.525400+3 5.688529-3 5.814100+3 6.606934-3 3.673200+3 7.762471-3 2.219800+3 9.120108-3 1.330000+3 1.071519-2 7.903000+2 1.258925-2 4.660300+2 1.496236-2 2.625300+2 1.778279-2 1.467500+2 2.113489-2 8.144000+1 2.540973-2 4.314500+1 3.126079-2 2.094400+1 3.935501-2 9.305000+0 5.188000-2 3.485700+0 9.332543-2 4.291300-1 1.174898-1 1.899100-1 1.412538-1 9.959300-2 1.659587-1 5.700800-2 1.927525-1 3.420237-2 2.213095-1 2.149205-2 2.511886-1 1.413960-2 2.818383-1 9.729157-3 3.162278-1 6.741351-3 3.548134-1 4.706521-3 3.935501-1 3.428890-3 4.365158-1 2.515991-3 4.786301-1 1.923240-3 5.188000-1 1.529042-3 5.688529-1 1.184383-3 6.237348-1 9.235318-4 6.839117-1 7.249225-4 7.498942-1 5.727935-4 8.222427-1 4.555440-4 9.332543-1 3.351678-4 9.885531-1 2.934555-4 1.047129+0 2.589531-4 1.122018+0 2.245250-4 1.188600+0 2.005317-4 1.288250+0 1.727025-4 1.428894+0 1.436505-4 1.737801+0 1.023301-4 1.949845+0 8.440573-5 2.213095+0 6.890312-5 2.511886+0 5.665307-5 2.884032+0 4.610888-5 3.311311+0 3.781902-5 3.845918+0 3.074344-5 4.570882+0 2.440131-5 5.370318+0 1.981192-5 6.456542+0 1.573389-5 7.943282+0 1.223842-5 9.885531+0 9.464405-6 1.273503+1 7.085801-6 1.717908+1 5.081996-6 2.371374+1 3.585455-6 3.273407+1 2.546781-6 5.188000+1 1.576174-6 9.120108+1 8.837007-7 1.819701+2 4.387388-7 3.630781+2 2.188207-7 1.445440+3 5.475085-8 1.000000+5 7.90470-10 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.602100-3 9.384400-5 1.000000+5 9.384400-5 1 35000 7 7 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.602100-3 3.017200-5 1.000000+5 3.017200-5 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.602100-3 1.478084-3 1.000000+5 1.000000+5 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.553600-3 3.419397+5 1.563500-3 3.506118+5 1.575000-3 3.580334+5 1.590000-3 3.616314+5 1.605000-3 3.625469+5 1.613000-3 3.613728+5 1.624000-3 3.579704+5 1.665000-3 3.379460+5 1.698244-3 3.244480+5 1.725000-3 3.124948+5 2.089296-3 1.891750+5 2.371374-3 1.351955+5 2.630268-3 1.019491+5 3.198895-3 5.887224+4 3.589219-3 4.222603+4 4.120975-3 2.817932+4 4.841724-3 1.738728+4 5.500000-3 1.178844+4 6.309573-3 7.705994+3 7.413102-3 4.637470+3 8.709636-3 2.765631+3 1.023293-2 1.635122+3 1.202264-2 9.588782+2 1.412538-2 5.579388+2 1.678804-2 3.097999+2 2.000000-2 1.692216+2 2.371374-2 9.328615+1 2.851018-2 4.861224+1 3.467369-2 2.413017+1 4.300000-2 1.108304+1 5.559043-2 4.344653+0 1.047129-1 4.260731-1 1.288250-1 2.004435-1 1.513561-1 1.122556-1 1.757924-1 6.592486-2 2.000000-1 4.194914-2 2.264644-1 2.733334-2 2.540973-1 1.851126-2 2.818383-1 1.312435-2 3.126079-1 9.373099-3 3.427678-1 6.995852-3 3.758374-1 5.256696-3 4.120975-1 3.978806-3 4.518559-1 3.034882-3 4.954502-1 2.332379-3 5.432503-1 1.805589-3 5.888437-1 1.452701-3 6.382635-1 1.176379-3 6.918310-1 9.599958-4 7.498942-1 7.887312-4 8.128305-1 6.521333-4 9.015711-1 5.143327-4 9.660509-1 4.419656-4 1.035142+0 3.825807-4 1.135011+0 3.178108-4 1.230269+0 2.720724-4 1.364583+0 2.246260-4 1.548817+0 1.792576-4 1.737801+0 1.468824-4 1.949845+0 1.212229-4 2.213095+0 9.897617-5 2.511886+0 8.138145-5 2.884032+0 6.623191-5 3.311311+0 5.432327-5 3.845918+0 4.415984-5 4.570882+0 3.504991-5 5.370318+0 2.845743-5 6.456542+0 2.259947-5 7.852356+0 1.782293-5 9.660509+0 1.396278-5 1.244515+1 1.044595-5 1.678804+1 7.486697-6 2.344229+1 5.213909-6 3.235937+1 3.702696-6 5.128614+1 2.291034-6 9.225714+1 1.254513-6 1.840772+2 6.229239-7 3.672823+2 3.106985-7 1.462177+3 7.774235-8 1.000000+5 1.135400-9 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.553600-3 9.169100-5 1.000000+5 9.169100-5 1 35000 7 7 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.553600-3 2.724600-5 1.000000+5 2.724600-5 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.553600-3 1.434663-3 1.000000+5 1.000000+5 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.514900-4 1.774900+5 2.527000-4 1.810372+5 2.540973-4 1.841288+5 2.560000-4 1.873934+5 2.590000-4 1.912338+5 2.630268-4 1.950379+5 2.680000-4 1.982160+5 2.730000-4 1.999528+5 2.786121-4 2.002809+5 2.830000-4 1.994958+5 2.900000-4 1.968432+5 2.985383-4 1.922453+5 3.280000-4 1.756670+5 3.700000-4 1.578664+5 3.935501-4 1.483083+5 4.265795-4 1.353786+5 4.897788-4 1.148740+5 5.308844-4 1.037368+5 5.956621-4 8.881374+4 6.760830-4 7.438390+4 7.585776-4 6.277145+4 8.709636-4 5.083722+4 9.885531-4 4.157430+4 1.135011-3 3.316107+4 1.333521-3 2.523286+4 1.531087-3 1.982188+4 1.778279-3 1.515402+4 2.065380-3 1.150178+4 2.426610-3 8.477826+3 2.851018-3 6.198279+3 3.349654-3 4.495475+3 3.935501-3 3.235170+3 4.623810-3 2.310470+3 5.432503-3 1.637685+3 6.382635-3 1.152170+3 7.413102-3 8.255094+2 8.609938-3 5.875178+2 1.011579-2 4.042267+2 1.174898-2 2.835807+2 1.380384-2 1.921035+2 1.603245-2 1.328547+2 1.883649-2 8.863400+1 2.213095-2 5.868234+1 2.600160-2 3.856492+1 3.054921-2 2.516215+1 3.630781-2 1.579892+1 4.315191-2 9.845644+0 5.128614-2 6.091937+0 6.237348-2 3.505175+0 7.673615-2 1.937100+0 9.772372-2 9.619455-1 1.927525-1 1.310352-1 2.398833-1 6.932587-2 2.818383-1 4.366504-2 3.273407-1 2.863486-2 3.715352-1 2.017949-2 4.168694-1 1.478158-2 4.677351-1 1.090899-2 5.188000-1 8.358571-3 5.754399-1 6.451569-3 6.309573-1 5.158780-3 6.918310-1 4.151697-3 7.585776-1 3.362903-3 8.413951-1 2.672967-3 9.225714-1 2.195259-3 1.000000+0 1.860050-3 1.148154+0 1.413995-3 1.273503+0 1.159289-3 1.412538+0 9.570169-4 1.584893+0 7.792917-4 1.778279+0 6.394804-4 2.000000+0 5.266700-4 2.264644+0 4.322194-4 2.570396+0 3.558192-4 2.951209+0 2.899665-4 3.388442+0 2.381307-4 3.935501+0 1.937914-4 4.623810+0 1.563136-4 5.495409+0 1.251351-4 6.683439+0 9.807215-5 8.222427+0 7.638836-5 1.023293+1 5.914220-5 1.318257+1 4.432871-5 1.778279+1 3.182508-5 2.426610+1 2.275093-5 3.349654+1 1.616785-5 5.308844+1 1.000943-5 9.772372+1 5.356548-6 1.949845+2 2.661292-6 3.890451+2 1.327628-6 1.548817+3 3.322700-7 1.000000+5 5.140800-9 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.514900-4 7.374100-5 1.000000+5 7.374100-5 1 35000 7 7 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.514900-4 1.100100-8 1.000000+5 1.100100-8 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.514900-4 1.777380-4 1.000000+5 1.000000+5 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.918200-4 1.485601+5 2.187762-4 1.783709+5 2.190000-4 1.791018+5 2.264644-4 1.849953+5 2.400000-4 1.963818+5 2.483133-4 2.021611+5 2.570396-4 2.066285+5 2.665300-4 2.097613+5 2.786121-4 2.118384+5 2.917427-4 2.125609+5 3.090295-4 2.119847+5 3.235937-4 2.103155+5 3.388442-4 2.073675+5 3.550000-4 2.029620+5 3.715352-4 1.975140+5 3.935501-4 1.895851+5 4.216965-4 1.792071+5 4.500000-4 1.687964+5 4.786301-4 1.583768+5 5.128614-4 1.463429+5 5.559043-4 1.323539+5 6.025596-4 1.188786+5 6.500000-4 1.067422+5 7.079458-4 9.377592+4 7.800000-4 8.030280+4 8.511380-4 6.933353+4 9.332543-4 5.891165+4 1.035142-3 4.866466+4 1.135011-3 4.075795+4 1.270000-3 3.254780+4 1.400000-3 2.658120+4 1.570000-3 2.077520+4 1.737801-3 1.657403+4 1.927525-3 1.307433+4 2.150000-3 1.010816+4 2.426610-3 7.537573+3 2.722701-3 5.656765+3 3.090295-3 4.090537+3 3.507519-3 2.933236+3 4.000000-3 2.059600+3 4.518559-3 1.472635+3 5.128614-3 1.031808+3 5.821032-3 7.178182+2 6.606934-3 4.958950+2 7.498942-3 3.402031+2 8.609938-3 2.238446+2 9.885531-3 1.461546+2 1.135011-2 9.471769+1 1.318257-2 5.873793+1 1.531087-2 3.614646+1 1.798871-2 2.125827+1 2.113489-2 1.240788+1 2.511886-2 6.915972+0 3.019952-2 3.678696+0 3.672823-2 1.866437+0 4.623810-2 8.332515-1 6.309573-2 2.779373-1 9.772372-2 5.905762-2 1.230269-1 2.630507-2 1.479108-1 1.386761-2 1.737801-1 7.970364-3 2.018366-1 4.801027-3 2.317395-1 3.029395-3 2.630268-1 2.000869-3 2.951209-1 1.381724-3 3.311311-1 9.610496-4 3.672823-1 6.978000-4 4.073803-1 5.101192-4 4.518559-1 3.756458-4 5.011872-1 2.787345-4 5.559043-1 2.085006-4 6.165950-1 1.572314-4 6.760830-1 1.231918-4 7.413102-1 9.717759-5 8.511380-1 6.876631-5 9.120108-1 5.821328-5 9.660509-1 5.098321-5 1.023293+0 4.495661-5 1.096478+0 3.892883-5 1.174898+0 3.394926-5 1.273503+0 2.920869-5 1.428894+0 2.374782-5 1.678804+0 1.792123-5 1.883649+0 1.475322-5 2.113489+0 1.223954-5 2.398833+0 1.003878-5 2.754229+0 8.148881-6 3.126079+0 6.776980-6 3.630781+0 5.493428-6 4.315191+0 4.348326-6 5.069907+0 3.521573-6 6.095369+0 2.790152-6 7.413102+0 2.195647-6 9.120108+0 1.716635-6 1.161449+1 1.298899-6 1.462177+1 1.002804-6 1.905461+1 7.496506-7 2.570396+1 5.432123-7 3.715352+1 3.682915-7 5.888437+1 2.284189-7 1.109175+2 1.195750-7 2.213095+2 5.947487-8 4.415704+2 2.968441-8 1.757924+3 7.432480-9 1.000000+5 1.30540-10 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.918200-4 6.344900-5 1.000000+5 6.344900-5 1 35000 7 7 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.918200-4 1.094800-8 1.000000+5 1.094800-8 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.918200-4 1.283601-4 1.000000+5 1.000000+5 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.847800-4 3.009210+5 1.865000-4 3.088175+5 2.020000-4 3.752458+5 2.100000-4 4.086005+5 2.135000-4 4.193082+5 2.330000-4 4.506680+5 2.400000-4 4.597120+5 2.483133-4 4.673757+5 2.580000-4 4.723280+5 2.691535-4 4.740792+5 2.851018-4 4.722697+5 3.019952-4 4.671723+5 3.162278-4 4.607558+5 3.311311-4 4.518411+5 3.467369-4 4.403152+5 3.672823-4 4.228681+5 3.935501-4 3.992512+5 4.216965-4 3.743751+5 4.518559-4 3.486652+5 4.786301-4 3.265590+5 5.150000-4 2.981548+5 5.623413-4 2.651697+5 6.095369-4 2.365579+5 6.606934-4 2.094383+5 7.244360-4 1.807547+5 7.943282-4 1.549067+5 8.709636-4 1.317320+5 9.549926-4 1.112107+5 1.059254-3 9.123116+4 1.161449-3 7.594446+4 1.288250-3 6.135906+4 1.412538-3 5.042678+4 1.570000-3 3.998840+4 1.757924-3 3.094196+4 1.950000-3 2.428392+4 2.162719-3 1.894068+4 2.426610-3 1.426124+4 2.722701-3 1.065530+4 3.090295-3 7.667668+3 3.507519-3 5.471254+3 3.981072-3 3.872271+3 4.466836-3 2.809205+3 5.011872-3 2.025454+3 5.623413-3 1.451586+3 6.382635-3 9.994071+2 7.244360-3 6.833139+2 8.222426-3 4.639483+2 9.440609-3 3.017609+2 1.083927-2 1.947614+2 1.244515-2 1.247685+2 1.445440-2 7.640866+1 1.678804-2 4.643131+1 1.949845-2 2.801048+1 2.290868-2 1.613067+1 2.722701-2 8.858806+0 3.235937-2 4.828326+0 3.935501-2 2.407418+0 4.897788-2 1.096560+0 6.309573-2 4.374839-1 1.083927-1 6.089123-2 1.333521-1 2.878244-2 1.584893-1 1.552226-2 1.840772-1 9.153868-3 2.113489-1 5.665661-3 2.371374-1 3.824403-3 2.660725-1 2.600500-3 2.951209-1 1.850895-3 3.273407-1 1.327465-3 3.589219-1 9.946110-4 3.935501-1 7.503148-4 4.315191-1 5.702203-4 4.731513-1 4.366372-4 5.188000-1 3.369587-4 5.623413-1 2.703760-4 6.095369-1 2.183659-4 6.606935-1 1.776115-4 7.161434-1 1.454000-4 7.852356-1 1.165601-4 8.609938-1 9.396110-5 9.225714-1 8.042063-5 9.885531-1 6.929319-5 1.083927+0 5.736415-5 1.174898+0 4.891559-5 1.288250+0 4.110393-5 1.428894+0 3.404129-5 1.640590+0 2.669521-5 1.840772+0 2.195163-5 2.065380+0 1.818443-5 2.344229+0 1.489427-5 2.691535+0 1.207473-5 3.090295+0 9.865936-6 3.589219+0 7.992708-6 4.216965+0 6.421209-6 5.000000+0 5.134100-6 6.000000+0 4.074800-6 7.328245+0 3.188339-6 9.015711+0 2.491702-6 1.148154+1 1.884651-6 1.445440+1 1.454598-6 1.883649+1 1.087009-6 2.540973+1 7.875340-7 3.630781+1 5.402641-7 5.754399+1 3.349621-7 1.071519+2 1.773613-7 2.137962+2 8.818965-8 4.265795+2 4.401087-8 1.698244+3 1.101795-8 1.000000+5 1.86940-10 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.847800-4 6.193900-5 1.000000+5 6.193900-5 1 35000 7 7 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.847800-4 8.461300-9 1.000000+5 8.461300-9 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.847800-4 1.228325-4 1.000000+5 1.000000+5 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 7.959000-5 2.773568+5 8.128305-5 2.810065+5 8.230000-5 2.844708+5 8.330000-5 2.894592+5 8.413951-5 2.950380+5 8.511380-5 3.033997+5 8.610000-5 3.142924+5 8.709636-5 3.280742+5 8.810489-5 3.451073+5 8.912509-5 3.657138+5 9.015711-5 3.902575+5 9.120108-5 4.190506+5 9.240200-5 4.572619+5 9.400000-5 5.166840+5 9.900000-5 7.603120+5 1.005000-4 8.465400+5 1.020000-4 9.361520+5 1.035142-4 1.028312+6 1.052000-4 1.130828+6 1.065000-4 1.208588+6 1.080000-4 1.295736+6 1.096478-4 1.387321+6 1.110000-4 1.458536+6 1.128000-4 1.547548+6 1.150000-4 1.646972+6 1.170000-4 1.728816+6 1.190000-4 1.803208+6 1.218400-4 1.897518+6 1.250000-4 1.989388+6 1.288250-4 2.085887+6 1.333521-4 2.183627+6 1.380384-4 2.268898+6 1.430000-4 2.342652+6 1.480000-4 2.399892+6 1.531087-4 2.440460+6 1.580000-4 2.462116+6 1.635000-4 2.467824+6 1.690000-4 2.456740+6 1.747700-4 2.429836+6 1.820000-4 2.378968+6 1.900000-4 2.307980+6 2.000000-4 2.208604+6 2.120000-4 2.084092+6 2.238721-4 1.958896+6 2.350000-4 1.841092+6 2.483133-4 1.702500+6 2.620000-4 1.564860+6 2.754229-4 1.437388+6 2.917427-4 1.295101+6 3.126079-4 1.134928+6 3.350000-4 9.881280+5 3.600000-4 8.493840+5 3.850000-4 7.322440+5 4.168694-4 6.095121+5 4.570882-4 4.889960+5 5.011872-4 3.893867+5 5.432503-4 3.166974+5 6.000000-4 2.434148+5 6.606934-4 1.872143+5 7.244360-4 1.446677+5 8.128305-4 1.037883+5 9.015711-4 7.638597+4 9.885531-4 5.779256+4 1.096478-3 4.196711+4 1.230269-3 2.918036+4 1.396368-3 1.938624+4 1.570000-3 1.316780+4 1.757924-3 9.001944+3 1.972423-3 6.066074+3 2.187762-3 4.226577+3 2.426610-3 2.928356+3 2.754229-3 1.856370+3 3.126079-3 1.167913+3 3.548134-3 7.292219+2 4.027170-3 4.520750+2 4.570882-3 2.783770+2 5.248075-3 1.627687+2 6.000000-3 9.602400+1 6.839116-3 5.689920+1 7.852356-3 3.249987+1 9.015711-3 1.842319+1 1.035142-2 1.036735+1 1.202264-2 5.520558+0 1.428894-2 2.646491+0 1.737801-2 1.140681+0 2.162719-2 4.414958-1 2.691535-2 1.695383-1 3.311311-2 6.802480-2 6.095369-2 4.569069-3 7.673615-2 1.658361-3 9.225714-2 7.424140-4 1.083927-1 3.701290-4 1.258925-1 1.953676-4 1.445440-1 1.091145-4 1.640590-1 6.441636-5 1.862087-1 3.831599-5 2.089296-1 2.406771-5 2.344229-1 1.523305-5 2.600160-1 1.016411-5 2.884032-1 6.831062-6 3.198895-1 4.624878-6 3.548134-1 3.155144-6 3.890451-1 2.261278-6 4.265795-1 1.630634-6 4.623810-1 1.232505-6 5.011872-1 9.380478-7 5.432503-1 7.204667-7 5.956621-1 5.368477-7 6.683439-1 3.733803-7 7.328245-1 2.812689-7 8.511380-1 1.796545-7 8.912509-1 1.572659-7 9.332543-1 1.384893-7 9.772372-1 1.228388-7 1.011579+0 1.129011-7 1.059254+0 1.015913-7 1.109175+0 9.203859-8 1.161449+0 8.389515-8 1.230269+0 7.529510-8 1.333521+0 6.529819-8 1.479108+0 5.484062-8 1.819701+0 3.842935-8 2.018366+0 3.237485-8 2.290868+0 2.648323-8 2.600160+0 2.181583-8 2.985383+0 1.779040-8 3.427678+0 1.461880-8 4.027170+0 1.171934-8 4.731513+0 9.462297-9 5.623413+0 7.582735-9 6.839116+0 5.948443-9 8.413951+0 4.637214-9 1.059254+1 3.545740-9 1.348963+1 2.695173-9 1.800000+1 1.959300-9 2.426610+1 1.419351-9 3.349654+1 1.008594-9 5.308844+1 6.24464-10 9.660509+1 3.38116-10 1.927525+2 1.67967-10 3.845918+2 8.37917-11 1.531087+3 2.09697-11 1.000000+5 3.20710-13 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 7.959000-5 3.572600-5 1.000000+5 3.572600-5 1 35000 7 7 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 7.959000-5 4.206600-9 1.000000+5 4.206600-9 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 7.959000-5 4.385979-5 1.000000+5 1.000000+5 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 7.845000-5 4.238376+5 8.000000-5 4.273170+5 8.128305-5 4.330770+5 8.230000-5 4.405224+5 8.330000-5 4.510020+5 8.420000-5 4.634784+5 8.511380-5 4.794759+5 8.610000-5 5.008998+5 8.709636-5 5.272926+5 8.810489-5 5.592283+5 8.912509-5 5.971842+5 9.040000-5 6.529800+5 9.150000-5 7.088040+5 9.300000-5 7.964400+5 9.772372-5 1.151205+6 9.950000-5 1.308150+6 1.011579-4 1.460867+6 1.025000-4 1.586406+6 1.040000-4 1.726320+6 1.055000-4 1.863672+6 1.071519-4 2.009736+6 1.085000-4 2.123646+6 1.100000-4 2.243964+6 1.115000-4 2.356980+6 1.135011-4 2.496258+6 1.150000-4 2.592168+6 1.170000-4 2.709690+6 1.198000-4 2.856162+6 1.220000-4 2.958516+6 1.250000-4 3.083148+6 1.288250-4 3.221582+6 1.333521-4 3.361312+6 1.380384-4 3.482157+6 1.430000-4 3.585192+6 1.480000-4 3.662718+6 1.531087-4 3.714391+6 1.584893-4 3.739530+6 1.640590-4 3.736327+6 1.698244-4 3.706342+6 1.760000-4 3.650442+6 1.820000-4 3.579006+6 1.905461-4 3.458757+6 2.000000-4 3.312174+6 2.113489-4 3.129137+6 2.238721-4 2.926143+6 2.350000-4 2.747316+6 2.454709-4 2.581231+6 2.580000-4 2.388210+6 2.730000-4 2.169774+6 2.917427-4 1.922226+6 3.150000-4 1.657830+6 3.388442-4 1.429378+6 3.630781-4 1.233427+6 3.890451-4 1.056968+6 4.216965-4 8.756802+5 4.623810-4 7.012597+5 5.011872-4 5.736579+5 5.432503-4 4.661923+5 5.956621-4 3.649348+5 6.606934-4 2.750456+5 7.244360-4 2.122560+5 7.943282-4 1.626945+5 8.810489-4 1.198419+5 9.885531-4 8.454160+4 1.122018-3 5.703986+4 1.258925-3 3.953665+4 1.412538-3 2.719744+4 1.584893-3 1.856162+4 1.778279-3 1.257627+4 2.018366-3 8.124092+3 2.264644-3 5.418993+3 2.540973-3 3.590654+3 2.851018-3 2.362899+3 3.235937-3 1.480441+3 3.672823-3 9.208249+2 4.168694-3 5.686552+2 4.731513-3 3.487204+2 5.370318-3 2.123530+2 6.095369-3 1.284260+2 6.918310-3 7.714917+1 7.852356-3 4.602895+1 9.015711-3 2.599992+1 1.035142-2 1.457729+1 1.202264-2 7.728512+0 1.412538-2 3.872250+0 1.698244-2 1.744048+0 2.065380-2 7.414489-1 2.540973-2 2.975368-1 3.162278-2 1.126379-1 3.935501-2 4.227904-2 6.165950-2 5.627182-3 7.673615-2 2.120806-3 9.225714-2 9.391928-4 1.096478-1 4.409938-4 1.258925-1 2.425728-4 1.428894-1 1.412603-4 1.603245-1 8.701360-5 1.798871-1 5.400367-5 2.000000-1 3.506728-5 2.213095-1 2.337845-5 2.426610-1 1.627579-5 2.660725-1 1.140999-5 2.917427-1 8.058543-6 3.162278-1 5.986566-6 3.427678-1 4.479255-6 3.715352-1 3.376237-6 4.000000-1 2.623500-6 4.315191-1 2.042032-6 4.731513-1 1.517981-6 5.370318-1 1.018420-6 5.754399-1 8.237749-7 6.025596-1 7.179393-7 6.382635-1 6.099963-7 6.839117-1 5.050931-7 7.413102-1 4.083212-7 8.035261-1 3.317750-7 8.609938-1 2.761936-7 9.120108-1 2.383687-7 9.660509-1 2.071627-7 1.011579+0 1.863371-7 1.071519+0 1.644476-7 1.135011+0 1.461306-7 1.202264+0 1.306734-7 1.303167+0 1.126962-7 1.428894+0 9.591010-8 1.798871+0 6.453409-8 2.000000+0 5.413900-8 2.264644+0 4.442945-8 2.570396+0 3.657637-8 2.951209+0 2.980766-8 3.388442+0 2.447897-8 3.935501+0 1.992091-8 4.623810+0 1.606863-8 5.495409+0 1.286327-8 6.606934+0 1.022461-8 8.128305+0 7.960547-9 1.011579+1 6.160922-9 1.303167+1 4.615888-9 1.757924+1 3.312913-9 2.400000+1 2.366500-9 3.311311+1 1.682116-9 5.248075+1 1.041255-9 9.549926+1 5.63692-10 1.905461+2 2.79996-10 3.801894+2 1.39670-10 1.513561+3 3.49525-11 1.000000+5 5.28450-13 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 7.845000-5 3.588800-5 1.000000+5 3.588800-5 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 7.845000-5 4.256200-5 1.000000+5 1.000000+5 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 2.418000-5 2.556540+4 2.430000-5 2.345520+4 2.454709-5 1.949226+4 2.470000-5 1.734122+4 2.497000-5 1.404112+4 2.540973-5 9.939896+3 2.560000-5 8.610460+3 2.575000-5 7.736500+3 2.586200-5 7.180330+3 2.595000-5 6.798860+3 2.605000-5 6.422600+3 2.615000-5 6.104940+3 2.625000-5 5.844500+3 2.635000-5 5.638980+3 2.642000-5 5.526880+3 2.650000-5 5.430040+3 2.657000-5 5.371920+3 2.665000-5 5.335260+3 2.673000-5 5.329480+3 2.681000-5 5.353780+3 2.689000-5 5.407380+3 2.696000-5 5.477680+3 2.705000-5 5.599340+3 2.715000-5 5.774500+3 2.725000-5 5.990360+3 2.735000-5 6.245520+3 2.750000-5 6.699180+3 2.765000-5 7.233300+3 2.787000-5 8.154280+3 2.851018-5 1.165530+4 2.880000-5 1.358774+4 2.910000-5 1.578178+4 2.937000-5 1.790602+4 2.960000-5 1.981536+4 2.990000-5 2.243020+4 3.020000-5 2.516720+4 3.050000-5 2.801100+4 3.080000-5 3.094560+4 3.110000-5 3.395740+4 3.135000-5 3.651840+4 3.170000-5 4.016420+4 3.210000-5 4.440200+4 3.245000-5 4.815280+4 3.280000-5 5.193040+4 3.330000-5 5.735080+4 3.370000-5 6.168820+4 3.420000-5 6.708720+4 3.470000-5 7.244100+4 3.520000-5 7.773080+4 3.570000-5 8.293800+4 3.630781-5 8.914224+4 3.690000-5 9.503120+4 3.770000-5 1.027296+5 3.850000-5 1.100984+5 3.935501-5 1.175887+5 4.030000-5 1.253898+5 4.129900-5 1.330849+5 4.220000-5 1.395408+5 4.350000-5 1.480602+5 4.466836-5 1.549380+5 4.623810-5 1.630693+5 4.786301-5 1.702236+5 4.954502-5 1.763791+5 5.150000-5 1.820856+5 5.350000-5 1.864926+5 5.580000-5 1.900058+5 5.821032-5 1.921619+5 6.095369-5 1.930360+5 6.400000-5 1.924302+5 6.683439-5 1.907208+5 7.000000-5 1.878430+5 7.413102-5 1.829971+5 7.852356-5 1.770100+5 8.413951-5 1.687289+5 9.015711-5 1.596920+5 9.800000-5 1.482882+5 1.080000-4 1.348780+5 1.190000-4 1.218178+5 1.318257-4 1.086002+5 1.462177-4 9.595550+4 1.621810-4 8.414790+4 1.819701-4 7.219412+4 2.238721-4 5.421856+4 2.722701-4 4.112562+4 3.126079-4 3.359400+4 3.715352-4 2.585468+4 4.518559-4 1.909298+4 5.688529-4 1.323745+4 6.839116-4 9.824024+3 8.128305-4 7.364425+3 9.549926-4 5.591007+3 1.148154-3 4.049310+3 1.380384-3 2.910304+3 1.640590-3 2.119660+3 1.949845-3 1.532631+3 2.317395-3 1.100249+3 2.754229-3 7.839379+2 3.235937-3 5.672699+2 3.801894-3 4.076027+2 4.466836-3 2.908086+2 5.248075-3 2.060106+2 6.165950-3 1.449068+2 7.244360-3 1.012055+2 8.511380-3 7.015903+1 1.000000-2 4.826340+1 1.161449-2 3.386322+1 1.364583-2 2.295949+1 1.603245-2 1.543518+1 1.883649-2 1.029589+1 2.213095-2 6.816208+0 2.600160-2 4.479627+0 3.054921-2 2.923016+0 3.630781-2 1.835489+0 4.315191-2 1.143977+0 5.128614-2 7.079124-1 6.237348-2 4.073558-1 7.673615-2 2.251475-1 9.772372-2 1.118279-1 1.949845-1 1.474812-2 2.398833-1 8.070464-3 2.818383-1 5.083417-3 3.273407-1 3.333767-3 3.715352-1 2.349457-3 4.168694-1 1.721050-3 4.677351-1 1.270196-3 5.188000-1 9.732506-4 5.754399-1 7.512066-4 6.309573-1 6.006887-4 6.918310-1 4.834447-4 7.585776-1 3.916176-4 8.413951-1 3.113157-4 9.225714-1 2.557113-4 1.000000+0 2.166700-4 1.148154+0 1.647077-4 1.273503+0 1.350342-4 1.412538+0 1.114702-4 1.584893+0 9.076856-5 1.778279+0 7.448573-5 2.000000+0 6.134500-5 2.264644+0 5.034199-5 2.570396+0 4.144394-5 2.951209+0 3.377487-5 3.388442+0 2.773659-5 3.935501+0 2.257155-5 4.623810+0 1.820645-5 5.495409+0 1.457489-5 6.606934+0 1.158560-5 8.128305+0 9.020073-6 1.011579+1 6.980847-6 1.303167+1 5.230304-6 1.757924+1 3.753774-6 2.426610+1 2.649945-6 3.349654+1 1.883074-6 5.248075+1 1.179856-6 9.549926+1 6.387186-7 1.905461+2 3.172617-7 3.801894+2 1.582646-7 1.513561+3 3.960441-8 1.000000+5 5.98780-10 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 2.418000-5 2.418000-5 1.000000+5 2.418000-5 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.418000-5 0.0 1.000000+5 1.000000+5 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.159000-5 2.193888+7 1.190000-5 2.230121+7 1.220000-5 2.248804+7 1.245000-5 2.252188+7 1.273503-5 2.244491+7 1.303167-5 2.222343+7 1.335000-5 2.186888+7 1.370000-5 2.133704+7 1.400000-5 2.078504+7 1.435000-5 2.005537+7 1.470000-5 1.925587+7 1.500000-5 1.852987+7 1.531087-5 1.775024+7 1.570000-5 1.675220+7 1.610000-5 1.572205+7 1.659587-5 1.446576+7 1.710000-5 1.323874+7 1.770000-5 1.186669+7 1.840772-5 1.039301+7 1.920000-5 8.938801+6 2.000000-5 7.672932+6 2.110000-5 6.231346+6 2.238721-5 4.910720+6 2.426610-5 3.522480+6 2.722701-5 2.170885+6 3.467369-5 7.821214+5 3.890451-5 4.840401+5 4.216965-5 3.480742+5 4.518559-5 2.641445+5 4.786301-5 2.114172+5 5.011872-5 1.780850+5 5.230000-5 1.529536+5 5.450000-5 1.329991+5 5.650000-5 1.185152+5 5.850000-5 1.067784+5 6.025596-5 9.829719+4 6.237348-5 8.989527+4 6.450000-5 8.307467+4 6.650000-5 7.784366+4 6.850000-5 7.353865+4 7.079458-5 6.951636+4 7.328245-5 6.602930+4 7.585776-5 6.315881+4 7.900000-5 6.041979+4 8.222426-5 5.824979+4 8.650000-5 5.606628+4 9.120108-5 5.425242+4 9.885531-5 5.203238+4 1.230269-4 4.697306+4 1.380384-4 4.419018+4 1.531087-4 4.149718+4 1.678804-4 3.895758+4 1.840772-4 3.632566+4 2.041738-4 3.332251+4 2.264644-4 3.036067+4 2.511886-4 2.748425+4 2.754229-4 2.500030+4 3.019952-4 2.257384+4 3.311311-4 2.022358+4 3.672823-4 1.772151+4 4.073803-4 1.542002+4 4.518559-4 1.332260+4 5.069907-4 1.124135+4 5.688529-4 9.419500+3 6.382635-4 7.831593+3 7.079458-4 6.583086+3 7.852356-4 5.488673+3 8.709636-4 4.543449+3 9.660509-4 3.735785+3 1.071519-3 3.051635+3 1.202264-3 2.418924+3 1.348963-3 1.902301+3 1.513561-3 1.484385+3 1.698244-3 1.149373+3 1.905461-3 8.832560+2 2.137962-3 6.736863+2 2.398833-3 5.100795+2 2.691535-3 3.834532+2 3.019952-3 2.862558+2 3.388442-3 2.122438+2 3.845918-3 1.515643+2 4.365158-3 1.073880+2 4.954502-3 7.551849+1 5.821032-3 4.780433+1 6.531306-3 3.423527+1 7.413102-3 2.354170+1 8.511380-3 1.552568+1 9.772372-3 1.016087+1 1.122018-2 6.599774+0 1.288250-2 4.256191+0 1.500000-2 2.604934+0 1.757924-2 1.548641+0 2.065380-2 9.060415-1 2.454709-2 5.061479-1 2.951209-2 2.698158-1 3.589219-2 1.371156-1 4.518559-2 6.131966-2 6.095369-2 2.135264-2 9.772372-2 4.014951-3 1.230269-1 1.788503-3 1.479108-1 9.428904-4 1.737801-1 5.419368-4 2.018366-1 3.264409-4 2.317395-1 2.059773-4 2.630268-1 1.360410-4 2.951209-1 9.394131-5 3.311311-1 6.533997-5 3.672823-1 4.744003-5 4.073803-1 3.467642-5 4.518559-1 2.552964-5 5.011872-1 1.893671-5 5.559043-1 1.415686-5 6.095369-1 1.100721-5 6.683439-1 8.618088-6 7.328245-1 6.793765-6 8.609938-1 4.536781-6 9.225714-1 3.843402-6 9.772372-1 3.369165-6 1.035142+0 2.974006-6 1.109175+0 2.577696-6 1.188600+0 2.250300-6 1.318257+0 1.859104-6 1.479108+0 1.515305-6 1.717908+0 1.168178-6 1.927525+0 9.630258-7 2.162719+0 8.000120-7 2.454709+0 6.569610-7 2.818383+0 5.339974-7 3.198895+0 4.446439-7 3.715352+0 3.608476-7 4.415704+0 2.859428-7 5.188000+0 2.318112-7 6.237348+0 1.838383-7 7.585776+0 1.447967-7 9.440609+0 1.117870-7 1.202264+1 8.467656-8 1.566751+1 6.297563-8 2.065380+1 4.657515-8 2.951209+1 3.180341-8 4.570882+1 2.012073-8 7.673615+1 1.180314-8 1.462177+2 6.127117-9 2.917427+2 3.052744-9 1.161449+3 7.63247-10 1.000000+5 8.85040-12 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.159000-5 1.159000-5 1.000000+5 1.159000-5 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.159000-5 0.0 1.000000+5 1.000000+5 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.103000-5 4.590995+7 1.135011-5 4.642637+7 1.165000-5 4.657129+7 1.190000-5 4.645829+7 1.220000-5 4.606495+7 1.250000-5 4.539695+7 1.285000-5 4.434162+7 1.320000-5 4.303429+7 1.350000-5 4.174196+7 1.385000-5 4.008296+7 1.420000-5 3.830630+7 1.462177-5 3.606947+7 1.500000-5 3.402263+7 1.550000-5 3.132237+7 1.603245-5 2.852339+7 1.659587-5 2.571202+7 1.717908-5 2.300922+7 1.778279-5 2.045817+7 1.850000-5 1.776088+7 1.927525-5 1.523661+7 2.018366-5 1.274663+7 2.137962-5 1.012323+7 2.300000-5 7.492393+6 2.540973-5 4.925756+6 3.273407-5 1.678510+6 3.630781-5 1.087408+6 3.935501-5 7.810782+5 4.168694-5 6.202469+5 4.415704-5 4.959512+5 4.623810-5 4.174131+5 4.800000-5 3.648163+5 5.000000-5 3.169950+5 5.188000-5 2.810743+5 5.370318-5 2.528244+5 5.559043-5 2.290265+5 5.754399-5 2.090543+5 5.950000-5 1.928461+5 6.150000-5 1.793972+5 6.350000-5 1.684715+5 6.531306-5 1.603248+5 6.760830-5 1.519259+5 7.000000-5 1.449645+5 7.244360-5 1.392958+5 7.500000-5 1.345505+5 7.852356-5 1.294640+5 8.300000-5 1.246489+5 8.912509-5 1.198012+5 1.135011-4 1.066719+5 1.260000-4 1.008006+5 1.400000-4 9.447824+4 1.548817-4 8.806678+4 1.698244-4 8.200212+4 1.862087-4 7.584370+4 2.065380-4 6.897423+4 2.317395-4 6.161079+4 2.580000-4 5.507861+4 2.818383-4 4.992228+4 3.090295-4 4.473816+4 3.427678-4 3.919997+4 3.801894-4 3.407288+4 4.265795-4 2.891722+4 4.786301-4 2.435048+4 5.432503-4 1.999660+4 6.095369-4 1.659196+4 6.760830-4 1.393096+4 7.413102-4 1.184818+4 8.222426-4 9.804162+3 9.120108-4 8.057227+3 1.023293-3 6.429160+3 1.148154-3 5.089883+3 1.288250-3 3.998211+3 1.445440-3 3.116380+3 1.621810-3 2.410268+3 1.819701-3 1.849970+3 2.041738-3 1.409286+3 2.290868-3 1.065733+3 2.570396-3 8.001770+2 2.884032-3 5.965303+2 3.235937-3 4.416876+2 3.630781-3 3.248269+2 4.073803-3 2.372595+2 4.623810-3 1.665901+2 5.248075-3 1.160751+2 6.000000-3 7.860224+1 6.839116-3 5.332691+1 7.762471-3 3.638402+1 8.810489-3 2.465311+1 1.011579-2 1.600113+1 1.161449-2 1.030513+1 1.333521-2 6.588174+0 1.548817-2 4.025953+0 1.798871-2 2.441289+0 2.113489-2 1.413147+0 2.483133-2 8.117711-1 2.951209-2 4.447421-1 3.548134-2 2.321262-1 4.365158-2 1.107676-1 5.370318-2 5.247200-2 1.161449-1 3.175062-3 1.412538-1 1.568987-3 1.659587-1 8.838984-4 1.905461-1 5.441153-4 2.162719-1 3.511509-4 2.426610-1 2.374181-4 2.722701-1 1.617299-4 3.019952-1 1.153140-4 3.349654-1 8.285177-5 3.672823-1 6.218350-5 4.027170-1 4.699948-5 4.415705-1 3.579423-5 4.841724-1 2.747202-5 5.248075-1 2.193911-5 5.688529-1 1.763180-5 6.165950-1 1.426220-5 6.683439-1 1.161347-5 7.244360-1 9.517859-6 7.852356-1 7.850362-6 8.609938-1 6.338118-6 9.225714-1 5.431738-6 9.885531-1 4.684975-6 1.083927+0 3.882449-6 1.188600+0 3.238800-6 1.303167+0 2.721501-6 1.445440+0 2.254953-6 1.659587+0 1.769474-6 1.862087+0 1.456111-6 2.089296+0 1.207103-6 2.371374+0 9.893473-7 2.722701+0 8.026282-7 3.126079+0 6.562526-7 3.630781+0 5.319531-7 4.315191+0 4.210716-7 5.069907+0 3.410175-7 6.095369+0 2.701804-7 7.413102+0 2.126166-7 9.225714+0 1.640059-7 1.174898+1 1.241451-7 1.479108+1 9.587251-8 1.927525+1 7.169289-8 2.600160+1 5.195960-8 3.801894+1 3.481489-8 6.025596+1 2.160121-8 1.135011+2 1.131177-8 2.264644+2 5.627138-9 4.518559+2 2.808820-9 3.589219+3 3.52466-10 1.000000+5 1.26410-11 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.103000-5 1.103000-5 1.000000+5 1.103000-5 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.103000-5 0.0 1.000000+5 1.000000+5 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 6.219230-8 1.028750+0 6.219230-7 1.030100+0 1.070380-6 1.031000+0 1.464650-6 1.032000+0 2.004010-6 1.033200+0 2.807280-6 1.034000+0 3.446190-6 1.035300+0 4.677720-6 1.036640+0 6.219230-6 1.038200+0 8.393050-6 1.039700+0 1.090430-5 1.041500+0 1.450800-5 1.043800+0 2.013760-5 1.046400+0 2.801760-5 1.048300+0 3.488270-5 1.051200+0 4.731770-5 1.054080+0 6.219230-5 1.057700+0 8.477210-5 1.061100+0 1.102670-4 1.065100+0 1.459820-4 1.070400+0 2.036600-4 1.076200+0 2.814580-4 1.080600+0 3.514950-4 1.087100+0 4.735790-4 1.093710+0 6.219230-4 1.102600+0 8.622770-4 1.110700+0 1.124560-3 1.120600+0 1.504290-3 1.133300+0 2.091560-3 1.147500+0 2.887780-3 1.158200+0 3.588770-3 1.174100+0 4.796620-3 1.190110+0 6.219230-3 1.205100+0 7.742150-3 1.227500+0 1.036270-2 1.250000+0 1.339000-2 1.265600+0 1.570170-2 1.294900+0 2.047370-2 1.331800+0 2.719470-2 1.362600+0 3.333170-2 1.411700+0 4.398130-2 1.455800+0 5.436840-2 1.500000+0 6.557000-2 1.562500+0 8.283750-2 1.617200+0 9.929610-2 1.712900+0 1.308390-1 1.838500+0 1.766110-1 1.946200+0 2.184640-1 2.000000+0 2.398000-1 2.044000+0 2.573000-1 2.163500+0 3.054760-1 2.372600+0 3.913710-1 2.647100+0 5.046930-1 3.000000+0 6.479000-1 3.437500+0 8.179570-1 4.000000+0 1.023000+0 4.750000+0 1.273730+0 5.000000+0 1.352000+0 6.000000+0 1.641000+0 7.000000+0 1.899000+0 8.000000+0 2.131000+0 9.000000+0 2.341000+0 1.000000+1 2.533000+0 1.100000+1 2.708000+0 1.200000+1 2.869000+0 1.300000+1 3.016000+0 1.400000+1 3.153000+0 1.500000+1 3.280000+0 1.600000+1 3.399000+0 1.800000+1 3.617000+0 2.000000+1 3.812000+0 2.200000+1 3.989000+0 2.400000+1 4.151000+0 2.600000+1 4.298000+0 2.800000+1 4.433000+0 3.000000+1 4.557000+0 4.000000+1 5.065000+0 5.000000+1 5.443000+0 6.000000+1 5.737000+0 8.000000+1 6.173000+0 1.000000+2 6.482000+0 1.500000+2 6.975000+0 2.000000+2 7.269000+0 3.000000+2 7.611000+0 4.000000+2 7.808000+0 5.000000+2 7.937000+0 6.000000+2 8.030000+0 8.000000+2 8.153000+0 1.000000+3 8.233000+0 1.500000+3 8.349000+0 2.000000+3 8.412000+0 3.000000+3 8.480000+0 4.000000+3 8.516000+0 5.000000+3 8.539000+0 6.000000+3 8.555000+0 8.000000+3 8.576000+0 1.000000+4 8.590000+0 1.500000+4 8.608000+0 2.000000+4 8.618000+0 3.000000+4 8.628000+0 4.000000+4 8.634000+0 5.000000+4 8.637000+0 6.000000+4 8.639000+0 8.000000+4 8.643000+0 1.000000+5 8.644000+0 1 35000 7 8 7.990900+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 3.514190-7 2.106600+0 1.144960-6 2.114000+0 1.584200-6 2.119500+0 1.972320-6 2.127900+0 2.674840-6 2.136250+0 3.514190-6 2.147000+0 4.818200-6 2.156900+0 6.258260-6 2.169000+0 8.352050-6 2.184500+0 1.160960-5 2.201800+0 1.606220-5 2.214800+0 2.001230-5 2.234200+0 2.692010-5 2.253680+0 3.514190-5 2.281500+0 4.922250-5 2.307000+0 6.465350-5 2.338200+0 8.693230-5 2.377400+0 1.203910-4 2.410200+0 1.531170-4 2.446800+0 1.947740-4 2.485900+0 2.452310-4 2.532900+0 3.138420-4 2.556430+0 3.514190-4 2.611900+0 4.480980-4 2.660400+0 5.417250-4 2.745300+0 7.250620-4 2.809000+0 8.780910-4 2.904500+0 1.131210-3 3.000000+0 1.412000-3 3.125000+0 1.820740-3 3.234400+0 2.215460-3 3.425800+0 2.983470-3 3.569300+0 3.617790-3 3.784700+0 4.650690-3 4.000000+0 5.761000-3 4.250000+0 7.118300-3 4.625000+0 9.251460-3 5.000000+0 1.147000-2 5.500000+0 1.451810-2 6.000000+0 1.761000-2 6.750000+0 2.221430-2 7.000000+0 2.373000-2 8.000000+0 2.966000-2 9.000000+0 3.533000-2 1.000000+1 4.073000-2 1.100000+1 4.583000-2 1.200000+1 5.065000-2 1.300000+1 5.520000-2 1.400000+1 5.953000-2 1.500000+1 6.363000-2 1.600000+1 6.753000-2 1.800000+1 7.477000-2 2.000000+1 8.136000-2 2.200000+1 8.739000-2 2.400000+1 9.295000-2 2.600000+1 9.809000-2 2.800000+1 1.029000-1 3.000000+1 1.073000-1 4.000000+1 1.258000-1 5.000000+1 1.398000-1 6.000000+1 1.510000-1 8.000000+1 1.679000-1 1.000000+2 1.802000-1 1.500000+2 2.007000-1 2.000000+2 2.136000-1 3.000000+2 2.295000-1 4.000000+2 2.391000-1 5.000000+2 2.456000-1 6.000000+2 2.504000-1 8.000000+2 2.570000-1 1.000000+3 2.614000-1 1.500000+3 2.679000-1 2.000000+3 2.716000-1 3.000000+3 2.756000-1 4.000000+3 2.780000-1 5.000000+3 2.794000-1 6.000000+3 2.805000-1 8.000000+3 2.818000-1 1.000000+4 2.827000-1 1.500000+4 2.838000-1 2.000000+4 2.845000-1 3.000000+4 2.851000-1 4.000000+4 2.855000-1 5.000000+4 2.858000-1 6.000000+4 2.859000-1 8.000000+4 2.861000-1 1.000000+5 2.862000-1 1 35000 7 8 7.990900+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 35000 7 9 7.990900+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 3.500000+1 1.000000+5 3.500000+1 5.000000+5 3.499000+1 7.500000+5 3.497650+1 1.000000+6 3.496700+1 1.375000+6 3.494330+1 1.500000+6 3.493300+1 1.875000+6 3.489540+1 2.000000+6 3.488100+1 2.500000+6 3.481500+1 3.000000+6 3.473500+1 3.750000+6 3.458810+1 4.000000+6 3.453400+1 4.750000+6 3.434700+1 5.000000+6 3.428300+1 5.875000+6 3.402160+1 6.500000+6 3.381640+1 6.625000+6 3.377310+1 7.000000+6 3.364200+1 7.875000+6 3.331240+1 8.500000+6 3.306160+1 8.625000+6 3.300900+1 9.000000+6 3.285600+1 1.000000+7 3.242500+1 1.109400+7 3.192650+1 1.187500+7 3.155640+1 1.203100+7 3.148270+1 1.250000+7 3.126000+1 1.375000+7 3.065270+1 1.437500+7 3.034960+1 1.500000+7 3.004700+1 1.625000+7 2.944140+1 1.750000+7 2.884700+1 1.937500+7 2.797130+1 2.000000+7 2.769000+1 2.250000+7 2.660460+1 2.375000+7 2.609180+1 2.500000+7 2.560100+1 2.750000+7 2.466970+1 3.000000+7 2.380800+1 3.250000+7 2.300130+1 3.500000+7 2.224360+1 3.625000+7 2.187830+1 4.000000+7 2.082900+1 4.437500+7 1.967350+1 4.750000+7 1.888080+1 4.812500+7 1.872550+1 5.000000+7 1.826200+1 5.437500+7 1.720480+1 5.812500+7 1.632940+1 6.000000+7 1.590200+1 6.500000+7 1.479970+1 7.000000+7 1.376500+1 7.500000+7 1.280210+1 8.000000+7 1.191800+1 9.000000+7 1.039100+1 1.000000+8 9.175400+0 1.109400+8 8.154820+0 1.125000+8 8.030990+0 1.203100+8 7.482320+0 1.250000+8 7.202300+0 1.312500+8 6.878840+0 1.406300+8 6.475550+0 1.437500+8 6.358920+0 1.500000+8 6.146700+0 1.750000+8 5.465970+0 1.875000+8 5.159050+0 1.968800+8 4.927090+0 2.000000+8 4.849200+0 2.125000+8 4.534450+0 2.375000+8 3.970430+0 2.406300+8 3.909710+0 2.500000+8 3.742600+0 2.718800+8 3.411270+0 2.815400+8 3.264730+0 2.875000+8 3.168840+0 2.881300+8 3.158400+0 2.960400+8 3.022580+0 3.000000+8 2.950800+0 3.062500+8 2.832870+0 3.335900+8 2.355960+0 3.418000+8 2.246970+0 3.500000+8 2.159100+0 3.589800+8 2.086970+0 3.712900+8 2.013920+0 3.928200+8 1.909340+0 4.000000+8 1.871400+0 4.062500+8 1.834860+0 5.000000+8 1.296100+0 5.125000+8 1.255380+0 5.234400+8 1.225760+0 5.425800+8 1.183670+0 6.000000+8 1.090200+0 6.250000+8 1.051450+0 7.000000+8 9.418000-1 7.625000+8 8.654810-1 8.000000+8 8.202000-1 8.359400+8 7.747440-1 8.660200+8 7.362190-1 8.995100+8 6.938640-1 9.354000+8 6.499550-1 1.000000+9 5.769000-1 1.062500+9 5.143840-1 1.141100+9 4.461340-1 1.206900+9 3.966410-1 1.280200+9 3.484730-1 1.335100+9 3.166050-1 1.417600+9 2.745370-1 1.500000+9 2.385800-1 1.562500+9 2.147380-1 1.671900+9 1.791600-1 1.753900+9 1.568950-1 1.877000+9 1.292420-1 2.000000+9 1.072100-1 2.093800+9 9.339440-2 2.275400+9 7.228210-2 2.445700+9 5.754810-2 2.680200+9 4.280270-2 2.895300+9 3.316880-2 3.158400+9 2.475900-2 3.496000+9 1.749160-2 3.872000+9 1.226610-2 4.516600+9 7.131420-3 5.000000+9 4.969500-3 8.000000+9 9.270200-4 1.00000+10 4.188400-4 1.20500+10 2.173580-4 1.41820+10 1.233730-4 1.71170+10 6.462970-5 2.01490+10 3.712320-5 2.26440+10 2.504270-5 2.74790+10 1.311440-5 3.41360+10 6.401740-6 4.02450+10 3.734400-6 4.77140+10 2.148000-6 5.73000+10 1.190410-6 7.25500+10 5.598980-7 9.08500+10 2.743880-7 1.00000+11 2.027100-7 1.34280+11 8.041940-8 1.77440+11 3.378250-8 2.63330+11 9.997580-9 3.75720+11 3.374690-9 6.61190+11 6.10997-10 1.48990+12 5.41872-11 4.26460+12 2.46724-12 1.00000+14 2.68430-16 5.62340+14 1.77061-18 7.49890+15 8.85927-22 1.00000+17 4.24370-25 1 35000 7 0 7.990900+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 3.60000-12 1.000000+2 3.60000-10 1.000000+3 3.600000-8 1.000000+4 3.600000-6 1.000000+5 3.600000-4 5.000000+5 9.000000-3 7.500000+5 2.025000-2 1.000000+6 3.600000-2 1.375000+6 6.859330-2 1.500000+6 8.170000-2 1.875000+6 1.272260-1 2.000000+6 1.445000-1 2.500000+6 2.241000-1 3.000000+6 3.200000-1 3.750000+6 4.921300-1 4.000000+6 5.566000-1 4.750000+6 7.691140-1 5.000000+6 8.460000-1 5.875000+6 1.135760+0 6.500000+6 1.359970+0 6.625000+6 1.406120+0 7.000000+6 1.547700+0 7.875000+6 1.890460+0 8.500000+6 2.144140+0 8.625000+6 2.195430+0 9.000000+6 2.350900+0 1.000000+7 2.771000+0 1.109400+7 3.233900+0 1.187500+7 3.563880+0 1.203100+7 3.629320+0 1.250000+7 3.826200+0 1.375000+7 4.343860+0 1.437500+7 4.598830+0 1.500000+7 4.851000+0 1.625000+7 5.345210+0 1.750000+7 5.826100+0 1.937500+7 6.522090+0 2.000000+7 6.748000+0 2.250000+7 7.619550+0 2.375000+7 8.037170+0 2.500000+7 8.442500+0 2.750000+7 9.215470+0 3.000000+7 9.940000+0 3.250000+7 1.061790+1 3.500000+7 1.125680+1 3.625000+7 1.156340+1 4.000000+7 1.244000+1 4.437500+7 1.339590+1 4.750000+7 1.404620+1 4.812500+7 1.417340+1 5.000000+7 1.455200+1 5.437500+7 1.540710+1 5.812500+7 1.611260+1 6.000000+7 1.645600+1 6.500000+7 1.734070+1 7.000000+7 1.818500+1 7.500000+7 1.898510+1 8.000000+7 1.974700+1 9.000000+7 2.114900+1 1.000000+8 2.239900+1 1.109400+8 2.360020+1 1.125000+8 2.376020+1 1.203100+8 2.450690+1 1.250000+8 2.492000+1 1.312500+8 2.542960+1 1.406300+8 2.612490+1 1.437500+8 2.634130+1 1.500000+8 2.674700+1 1.750000+8 2.811370+1 1.875000+8 2.868070+1 1.968800+8 2.906760+1 2.000000+8 2.919000+1 2.125000+8 2.964920+1 2.375000+8 3.044110+1 2.406300+8 3.053040+1 2.500000+8 3.078500+1 2.718800+8 3.130510+1 2.815400+8 3.150450+1 2.875000+8 3.162240+1 2.881300+8 3.163410+1 2.960400+8 3.177880+1 3.000000+8 3.185000+1 3.062500+8 3.195160+1 3.335900+8 3.235240+1 3.418000+8 3.245570+1 3.500000+8 3.255400+1 3.589800+8 3.264970+1 3.712900+8 3.277760+1 3.928200+8 3.297120+1 4.000000+8 3.303000+1 4.062500+8 3.307720+1 5.000000+8 3.364200+1 5.125000+8 3.369850+1 5.234400+8 3.374700+1 5.425800+8 3.382950+1 6.000000+8 3.404500+1 6.250000+8 3.412370+1 7.000000+8 3.433700+1 7.625000+8 3.447490+1 8.000000+8 3.454700+1 8.359400+8 3.460500+1 8.660200+8 3.464800+1 8.995100+8 3.469080+1 9.354000+8 3.473260+1 1.000000+9 3.479400+1 1.062500+9 3.483590+1 1.141100+9 3.488050+1 1.206900+9 3.490660+1 1.280200+9 3.493030+1 1.335100+9 3.494230+1 1.417600+9 3.495940+1 1.500000+9 3.497000+1 1.562500+9 3.497400+1 1.671900+9 3.498080+1 1.753900+9 3.498550+1 1.877000+9 3.499220+1 2.000000+9 3.499500+1 2.093800+9 3.499560+1 2.275400+9 3.499670+1 2.445700+9 3.499760+1 2.680200+9 3.499880+1 2.895300+9 3.499970+1 3.158400+9 3.500090+1 3.496000+9 3.500220+1 3.872000+9 3.500160+1 4.516600+9 3.500060+1 5.000000+9 3.500000+1 8.000000+9 3.500000+1 1.00000+10 3.500000+1 1.20500+10 3.500000+1 1.41820+10 3.500000+1 1.71170+10 3.500000+1 2.01490+10 3.500000+1 2.26440+10 3.500000+1 2.74790+10 3.500000+1 3.41360+10 3.500000+1 4.02450+10 3.500000+1 4.77140+10 3.500000+1 5.73000+10 3.500000+1 7.25500+10 3.500000+1 9.08500+10 3.500000+1 1.00000+11 3.500000+1 1.34280+11 3.500000+1 1.77440+11 3.500000+1 2.63330+11 3.500000+1 3.75720+11 3.500000+1 6.61190+11 3.500000+1 1.48990+12 3.500000+1 4.26460+12 3.500000+1 1.00000+14 3.500000+1 5.62340+14 3.500000+1 7.49890+15 3.500000+1 1.00000+17 3.500000+1 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.039584-6 0.0 7.437944-6 0.0 7.469983-6 1.028060+0 7.474560-6 1.173428+0 7.492867-6 2.143362+0 7.511175-6 3.614002+0 7.531771-6 5.931660+0 7.563523-6 1.034822+1 7.585549-6 1.323157+1 7.604393-6 1.489297+1 7.623472-6 1.540036+1 7.641903-6 1.467336+1 7.661394-6 1.276477+1 7.692279-6 8.523607+0 7.712558-6 5.761937+0 7.732010-6 3.625976+0 7.749173-6 2.216679+0 7.767480-6 1.219413+0 7.793798-6 3.486760-1 7.804096-6 0.0 7.993949-6 0.0 8.028440-6 4.621607-1 8.033301-6 5.266416-1 8.052977-6 9.619539-1 8.072653-6 1.621987+0 8.094789-6 2.662166+0 8.129261-6 4.665190+0 8.152588-6 5.938412+0 8.172840-6 6.684057+0 8.193478-6 6.910044+0 8.213154-6 6.585493+0 8.234102-6 5.728907+0 8.267296-6 3.825448+0 8.289090-6 2.585993+0 8.309996-6 1.627361+0 8.328443-6 9.948591-1 8.348119-6 5.472802-1 8.376403-6 1.564880-1 8.387471-6 0.0 8.514213-6 0.0 8.537627-6 1.168893-6 8.556127-6 2.929306-6 8.577083-6 5.594312-6 8.579656-6 6.029386-6 8.598040-6 9.699839-6 8.621684-6 1.641838-5 8.642699-6 2.410862-5 8.684727-6 4.116562-5 8.705741-6 4.787007-5 8.726756-6 5.150215-5 8.747770-6 5.126416-5 8.768784-6 4.720860-5 8.789799-6 4.021937-5 8.831827-6 2.311107-5 8.852841-6 1.558659-5 8.870477-6 1.054550-5 8.873856-6 9.723235-6 8.891433-6 6.186890-6 8.894870-6 5.610131-6 8.915884-6 2.908278-6 8.933347-6 1.179602-6 8.957913-6 0.0 9.070218-6 0.0 9.093632-6 2.12115-14 9.127206-6 1.355022-6 9.138397-6 1.800967-6 9.160780-6 3.289613-6 9.183163-6 5.546740-6 9.205546-6 8.633455-6 9.244459-6 1.539251-5 9.245094-6 2.454346-3 9.290605-6 1.728209+0 9.312722-6 3.154631+0 9.336116-6 5.475472+0 9.362668-6 9.219381+0 9.432172-6 2.118648+1 9.453812-6 2.376750+1 9.477763-6 2.485209+1 9.499607-6 2.412599+1 9.522231-6 2.173995+1 9.552798-6 1.681512+1 9.586428-6 1.086151+1 9.609184-6 7.393779+0 9.633362-6 4.573870+0 9.654695-6 2.780978+0 9.670830-6 1.879335+0 9.693731-6 6.827643-1 9.700206-6 3.720019-1 9.716633-6 2.344067-1 9.739534-6 1.190343-1 9.762436-6 0.0 9.800474-6 0.0 9.849307-6 8.132856-1 9.860399-6 1.115919+0 9.873432-6 1.508913+0 9.897556-6 2.568978+0 9.908939-6 3.258127+0 9.921680-6 4.264990+0 9.959989-6 7.931747+0 1.001818-5 1.458316+1 1.004532-5 1.721526+1 1.007010-5 1.895134+1 1.009703-5 1.983610+1 1.011500-5 1.990694+1 1.013663-5 1.918211+1 1.016175-5 1.753087+1 1.018811-5 1.498847+1 1.023859-5 9.344150+0 1.027363-5 5.951379+0 1.028620-5 5.064463+0 1.029802-5 4.432629+0 1.032393-5 3.738084+0 1.034741-5 3.695157+0 1.038879-5 4.635782+0 1.040925-5 5.434141+0 1.044457-5 6.837155+0 1.047711-5 7.572478+0 1.052201-5 8.044201+0 1.056635-5 8.368349+0 1.061128-5 9.542111+0 1.068387-5 1.223431+1 1.071200-5 1.269511+1 1.074788-5 1.270064+1 1.081049-5 1.114026+1 1.086723-5 9.581602+0 1.090639-5 9.102958+0 1.095514-5 9.483957+0 1.104969-5 1.082421+1 1.112123-5 1.087650+1 1.121279-5 1.078463+1 1.168523-5 1.152367+1 1.229923-5 1.208951+1 1.238287-5 1.313002+1 1.244433-5 1.491515+1 1.253460-5 1.858238+1 1.258175-5 1.958620+1 1.262673-5 1.937349+1 1.268824-5 1.734154+1 1.277144-5 1.416343+1 1.282911-5 1.294389+1 1.285092-5 1.276736+1 1.291189-5 1.350307+1 1.294854-5 1.476016+1 1.298330-5 1.658383+1 1.303053-5 2.002222+1 1.310373-5 2.588804+1 1.314039-5 2.761924+1 1.316989-5 2.797968+1 1.320719-5 2.686577+1 1.324854-5 2.413712+1 1.332151-5 1.814822+1 1.336104-5 1.566981+1 1.338475-5 1.451234+1 1.342033-5 1.340954+1 1.348626-5 1.222647+1 1.486014-5 1.139027+1 1.899879-5 6.899353+0 2.088426-5 5.266165+0 2.164792-5 4.776044+0 2.196374-5 4.651353+0 2.247444-5 4.206939+0 2.410462-5 3.383011+0 2.582000-5 2.707800+0 2.738750-5 2.238635+0 2.915715-5 1.831779+0 3.111044-5 1.494326+0 3.334924-5 1.209536+0 3.590639-5 9.772264-1 3.881900-5 7.935337-1 4.185834-5 6.631360-1 4.545323-5 5.611974-1 4.930316-5 4.922697-1 5.370318-5 4.453767-1 5.991574-5 4.136627-1 6.575600-5 4.042556-1 6.608096-5 6.154153-1 6.624634-5 7.953194-1 6.634481-5 9.552403-1 6.640340-5 1.073067+0 6.656525-5 1.494486+0 6.675816-5 2.123276+0 6.715001-5 3.535356+0 6.723400-5 3.805231+0 6.740994-5 4.190058+0 6.756464-5 4.339845+0 6.775375-5 4.235117+0 6.792473-5 3.927671+0 6.817110-5 3.249219+0 6.854750-5 2.068136+0 6.866930-5 1.721822+0 6.895760-5 1.054545+0 6.899300-5 9.860419-1 6.912090-5 8.236038-1 6.928419-5 6.692797-1 6.961079-5 4.626899-1 6.986484-5 4.277501-1 7.019418-5 4.043286-1 7.429356-5 4.075528-1 7.465929-5 4.508347-1 7.484215-5 4.865115-1 7.502502-5 5.405352-1 7.520788-5 6.144042-1 7.544110-5 7.337531-1 7.576364-5 9.322945-1 7.598552-5 1.042138+0 7.616155-5 1.110553+0 7.637472-5 1.166685+0 7.712806-5 1.264973+0 7.765826-5 1.264080+0 7.813848-5 1.199539+0 7.917318-5 1.186800+0 8.470756-5 1.357691+0 8.734849-5 1.510855+0 9.041810-5 1.792979+0 9.281136-5 2.106328+0 9.578662-5 2.616699+0 1.001229-4 3.582620+0 1.139000-4 7.164327+0 1.244825-4 9.426308+0 1.430000-4 1.259356+1 1.592097-4 1.459546+1 1.794787-4 1.609419+1 1.894289-4 1.728706+1 2.125690-4 1.802257+1 2.366543-4 1.823203+1 2.406896-4 1.889149+1 2.450863-4 1.804973+1 2.533365-4 1.846398+1 3.207989-4 1.661068+1 4.564308-4 1.246241+1 5.566461-4 1.015563+1 6.518010-4 8.495406+0 7.673615-4 6.979444+0 9.027096-4 5.683250+0 1.052557-3 4.641637+0 1.211119-3 3.834312+0 1.407074-3 3.109415+0 1.517304-3 2.813022+0 1.526052-3 2.917688+0 1.531689-3 3.152685+0 1.535895-3 3.484909+0 1.540472-3 4.049818+0 1.545551-3 4.941740+0 1.562717-3 8.743802+0 1.570960-3 9.963016+0 1.595672-3 1.208964+1 1.613000-3 1.413100+1 1.625885-3 1.487342+1 1.664927-3 1.466879+1 1.735047-3 1.401060+1 1.784648-3 1.501819+1 2.152446-3 1.158706+1 2.462006-3 9.484687+0 2.854450-3 7.550330+0 3.286387-3 6.043218+0 3.756684-3 4.862259+0 4.314463-3 3.866973+0 4.926064-3 3.094957+0 5.462176-3 2.594782+0 6.235666-3 2.065454+0 7.076267-3 1.655902+0 7.900886-3 1.363719+0 8.851502-3 1.114544+0 9.982180-3 8.985671-1 1.121894-2 7.278411-1 1.264836-2 5.853264-1 1.310442-2 5.532971-1 1.316690-2 5.769061-1 1.320443-2 6.182224-1 1.323635-2 6.847437-1 1.326389-2 7.751707-1 1.329557-2 9.281500-1 1.332673-2 1.134860+0 1.336119-2 1.430168+0 1.349814-2 2.854226+0 1.355335-2 3.260549+0 1.360907-2 3.494529+0 1.370186-2 3.614609+0 1.607783-2 2.825884+0 1.839613-2 2.261995+0 2.104384-2 1.804872+0 2.377655-2 1.460531+0 2.671339-2 1.191280+0 3.027951-2 9.513519-1 3.392355-2 7.744185-1 3.768256-2 6.379074-1 4.206816-2 5.197807-1 4.646679-2 4.307781-1 5.116433-2 3.588024-1 5.674999-2 2.939155-1 6.255324-2 2.435656-1 6.954275-2 1.979792-1 7.804476-2 1.578895-1 8.644474-2 1.288787-1 9.681741-2 1.029013-1 1.088070-1 8.158179-2 1.193765-1 6.779271-2 1.314468-1 5.590900-2 1.458140-1 4.544027-2 1.593414-1 3.806578-2 1.757233-1 3.131323-2 1.959338-1 2.527478-2 2.158330-1 2.090321-2 2.387210-1 1.718723-2 2.625581-1 1.431722-2 2.881386-1 1.202232-2 3.171189-1 1.006381-2 3.489376-1 8.463264-3 3.866520-1 7.062163-3 4.328018-1 5.829064-3 4.850223-1 4.841863-3 5.366455-1 4.134912-3 5.948056-1 3.548182-3 6.763263-1 2.964327-3 7.765264-1 2.481895-3 9.139817-1 2.052473-3 1.070165+0 1.734498-3 1.286622+0 1.426770-3 1.546860+0 1.173637-3 1.859734+0 9.654148-4 2.235892+0 7.941343-4 2.688134+0 6.532419-4 3.231848+0 5.373460-4 3.885536+0 4.420120-4 4.671441+0 3.635918-4 5.616308+0 2.990847-4 6.752287+0 2.460222-4 8.118035+0 2.023738-4 9.760024+0 1.664694-4 1.000000+1 3.347940-4 1 35000 7 0 7.990900+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-3.500297+1 3.039584-6-3.501707+1 6.678254-6-3.433130+1 7.230838-6-3.288305+1 7.390270-6-3.108970+1 7.443379-6-2.918100+1 7.517468-6-2.564764+1 7.547790-6-2.545254+1 7.570674-6-2.681683+1 7.599494-6-3.056378+1 7.633674-6-3.677674+1 7.666395-6-3.184901+1 7.694250-6-2.997760+1 7.726288-6-3.022916+1 7.837737-6-3.570039+1 7.889246-6-3.696020+1 8.102321-6-3.244724+1 8.150320-6-3.357536+1 8.203824-6-3.721518+1 8.254350-6-3.461207+1 8.309996-6-3.475229+1 8.424030-6-3.742146+1 9.046529-6-3.289095+1 9.183163-6-3.045880+1 9.242407-6-2.804434+1 9.344479-6-2.135734+1 9.370483-6-2.062473+1 9.396010-6-2.147911+1 9.420137-6-2.366861+1 9.450839-6-2.899657+1 9.494420-6-3.883210+1 9.526697-6-3.246827+1 9.552798-6-2.935679+1 9.581676-6-2.809873+1 9.612028-6-2.899039+1 9.700720-6-3.555366+1 9.757152-6-3.935339+1 9.933685-6-2.935369+1 9.977013-6-2.864604+1 1.001499-5-2.986836+1 1.006115-5-3.405173+1 1.010966-5-4.027673+1 1.016614-5-3.370252+1 1.019994-5-3.148705+1 1.023859-5-3.113371+1 1.027363-5-3.249354+1 1.036539-5-3.918447+1 1.042555-5-4.144096+1 1.057233-5-4.206881+1 1.065377-5-4.232487+1 1.079504-5-3.761938+1 1.086723-5-3.770384+1 1.099732-5-3.964141+1 1.121279-5-3.864797+1 1.208750-5-3.793946+1 1.229923-5-3.914756+1 1.234713-5-3.932569+1 1.246658-5-3.705891+1 1.253460-5-3.796604+1 1.255954-5-3.842034+1 1.266585-5-3.337539+1 1.272795-5-3.258173+1 1.280925-5-3.413975+1 1.289767-5-3.718041+1 1.298880-5-3.339674+1 1.304584-5-3.296462+1 1.309874-5-3.527491+1 1.311543-5-3.658628+1 1.320719-5-2.685752+1 1.324854-5-2.360167+1 1.328535-5-2.205004+1 1.332151-5-2.176866+1 1.338475-5-2.305964+1 1.352130-5-2.662299+1 1.371509-5-2.810479+1 1.421194-5-2.852577+1 1.726030-5-2.567991+1 2.048482-5-2.486335+1 4.800000-5-2.837657+1 6.400696-5-3.030580+1 6.603621-5-3.161034+1 6.697809-5-3.131682+1 6.723400-5-3.170206+1 6.817110-5-2.822810+1 6.883115-5-2.803710+1 7.046955-5-2.964333+1 7.616155-5-3.140966+1 8.179153-5-3.161926+1 1.051398-4-3.511872+1 1.269125-4-3.436017+1 1.786654-4-2.885061+1 2.195760-4-2.334369+1 2.353573-4-2.203019+1 2.391043-4-2.169658+1 2.429704-4-2.049884+1 2.489633-4-2.057186+1 2.667648-4-1.849796+1 2.935971-4-1.623721+1 3.340027-4-1.379729+1 3.827863-4-1.171239+1 4.327629-4-1.028758+1 5.015512-4-9.040510+0 5.837810-4-8.199772+0 6.850766-4-7.716298+0 8.102123-4-7.591600+0 1.001035-3-7.991517+0 1.161641-3-8.806706+0 1.294444-3-9.963621+0 1.385458-3-1.127237+1 1.445440-3-1.265782+1 1.485776-3-1.415511+1 1.513101-3-1.587242+1 1.529920-3-1.783825+1 1.547507-3-2.048709+1 1.557898-3-2.086041+1 1.585617-3-1.899395+1 1.604314-3-1.825863+1 1.637279-3-1.451927+1 1.655628-3-1.313425+1 1.687500-3-1.161635+1 1.725325-3-1.055303+1 1.767031-3-1.026267+1 1.784648-3-9.566803+0 1.811939-3-8.281819+0 1.853872-3-7.059603+0 1.911670-3-5.872911+0 1.986060-3-4.750412+0 2.073570-3-3.770495+0 2.152446-3-3.089804+0 2.245502-3-2.459736+0 2.347183-3-1.923589+0 2.462006-3-1.451059+0 2.577805-3-1.086331+0 2.664961-3-8.575051-1 2.759744-3-6.638463-1 2.854450-3-5.044226-1 2.949152-3-3.741974-1 3.019952-3-2.941181-1 3.090295-3-2.240128-1 3.222231-3-1.161372-1 3.286387-3-7.457784-2 3.322051-3-5.364637-2 3.359611-3-3.438838-2 3.394542-3-1.803928-2 3.426137-3-4.498460-3 3.439877-3 1.034043-3 3.465810-3 1.033806-2 3.513755-3 2.663926-2 3.548134-3 3.719936-2 3.635968-3 5.951161-2 3.679436-3 6.876647-2 3.813196-3 8.860143-2 3.911921-3 9.496332-2 4.009821-3 9.933082-2 4.120975-3 9.941645-2 4.216965-3 9.546790-2 4.365158-3 8.388405-2 4.556545-3 6.067667-2 4.665600-3 4.460856-2 4.771686-3 2.791091-2 4.880454-3 9.986038-3 4.926064-3 2.186685-3 5.113227-3-3.218431-2 5.244300-3-5.754275-2 5.953866-3-2.076056-1 9.212446-3-9.201821-1 1.034735-2-1.208935+0 1.121894-2-1.494420+0 1.186793-2-1.788914+0 1.230882-2-2.073617+0 1.264836-2-2.392351+0 1.289812-2-2.747906+0 1.307186-2-3.143138+0 1.319332-2-3.621576+0 1.337621-2-4.695876+0 1.343599-2-4.800491+0 1.349814-2-4.626869+0 1.370186-2-3.318951+0 1.378476-2-2.955026+0 1.392999-2-2.526100+0 1.410183-2-2.177069+0 1.436072-2-1.796196+0 1.466559-2-1.472766+0 1.509787-2-1.141156+0 1.548816-2-9.188795-1 1.599438-2-6.952727-1 1.648977-2-5.218966-1 1.697274-2-3.849437-1 1.733777-2-3.000961-1 1.759505-2-2.470673-1 1.795476-2-1.830824-1 1.839613-2-1.149981-1 1.889078-2-4.999952-2 1.934335-2-2.658564-4 1.937258-2 2.963682-3 1.990244-2 5.253508-2 2.039168-2 9.118374-2 2.104384-2 1.361795-1 2.148371-2 1.603473-1 2.203412-2 1.861892-1 2.317637-2 2.259222-1 2.491907-2 2.623180-1 2.671339-2 2.815544-1 2.923767-2 2.876855-1 3.392355-2 2.699152-1 4.966948-2 1.605361-1 5.839683-2 1.111019-1 6.475137-2 8.191621-2 7.144727-2 5.600889-2 7.616036-2 4.036990-2 8.145928-2 2.506946-2 8.644474-2 1.226667-2 8.990006-2 4.345468-3 9.133751-2 1.192785-3 9.244252-2-1.174320-3 9.473193-2-5.807984-3 9.681741-2-9.870467-3 1.006280-1-1.682992-2 1.059292-1-2.545907-2 1.140400-1-3.698263-2 1.230269-1-4.772629-2 1.367844-1-6.104891-2 1.550719-1-7.443762-2 1.823818-1-8.855186-2 2.238092-1-1.019786-1 2.881386-1-1.135951-1 4.022193-1-1.231120-1 6.437986-1-1.297847-1 1.619761+0-1.335350-1 4.891600+0-1.341529-1 1.000000+1-1.341738-1 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 4.981773-5 1.075793-6 6.236240-5 1.143030-6 7.314990-5 1.152000-6 7.509979-5 1.214470-6 9.657247-5 1.290374-6 1.247916-4 1.371022-6 1.553117-4 1.440000-6 1.823870-4 1.456711-6 1.924844-4 1.502233-6 2.236369-4 1.549178-6 2.566955-4 1.597590-6 2.914198-4 1.647515-6 3.275431-4 1.699000-6 3.647503-4 1.800000-6 4.387893-4 1.863310-6 5.076403-4 1.921539-6 5.738768-4 2.025000-6 6.941879-4 2.107371-6 8.245306-4 2.173226-6 9.327603-4 2.278125-6 1.108831-3 2.383399-6 1.345393-3 2.457881-6 1.516332-3 2.534689-6 1.691263-3 2.562891-6 1.761468-3 2.613898-6 1.916720-3 2.695583-6 2.178010-3 2.779820-6 2.444768-3 2.883252-6 2.777258-3 2.956273-6 3.088945-3 3.048657-6 3.496147-3 3.143927-6 3.907076-3 3.243658-6 4.339750-3 3.343493-6 4.888501-3 3.555726-6 6.133183-3 3.661786-6 6.786552-3 3.781432-6 7.647192-3 3.890648-6 8.435552-3 4.021464-6 9.516652-3 4.133813-6 1.044659-2 4.276733-6 1.182700-2 4.392177-6 1.291470-2 4.548205-6 1.459342-2 4.685896-6 1.603322-2 4.819285-6 1.758996-2 4.958356-6 1.908449-2 5.073687-6 2.050043-2 5.194957-6 2.182543-2 5.268253-6 2.259263-2 5.426247-6 2.443504-2 5.597519-6 2.598896-2 5.746776-6 2.745238-2 5.847012-6 2.811095-2 5.947364-6 2.858641-2 6.038185-6 2.912425-2 6.129315-6 2.945018-2 6.217596-6 2.937296-2 6.388642-6 2.872675-2 6.503203-6 2.801321-2 6.548998-6 2.765029-2 6.699331-6 2.581551-2 6.840269-6 2.316886-2 6.859953-6 2.274771-2 6.972397-6 2.013691-2 7.078410-6 1.712949-2 7.096268-6 1.657882-2 7.194406-6 1.343991-2 7.212397-6 1.285578-2 7.321268-6 9.250952-3 7.423334-6 5.799309-3 7.441810-6 5.204134-3 7.507955-6 3.273772-3 7.519022-6 2.989025-3 7.608728-6 1.196746-3 7.692829-6 6.865555-4 7.771672-6 1.881750-3 7.782497-6 2.218858-3 7.801908-6 2.950028-3 7.845589-6 5.269491-3 7.914885-6 1.133893-2 7.979850-6 2.061484-2 8.040755-6 3.362765-2 8.077489-6 4.407117-2 8.097854-6 5.087300-2 8.151384-6 7.291074-2 8.201568-6 1.004198-1 8.248615-6 1.341022-1 8.292723-6 1.745851-1 8.372839-6 2.783739-1 8.443254-6 4.173652-1 8.475196-6 5.020587-1 8.505142-6 5.979679-1 8.533217-6 7.059081-1 8.559536-6 8.267068-1 8.584211-6 9.612058-1 8.607343-6 1.110269+0 8.629030-6 1.274802+0 8.649361-6 1.455794+0 8.687482-6 1.887593+0 8.720838-6 2.407756+0 8.750025-6 3.033475+0 8.775563-6 3.784263+0 8.797909-6 4.676702+0 8.817462-6 5.718328+0 8.834570-6 6.903791+0 8.849540-6 8.214754+0 8.862639-6 9.622884+0 8.874101-6 1.109432+1 8.892904-6 1.408955+1 8.931656-6 2.319240+1 8.951142-6 2.961592+1 8.962811-6 3.413461+1 8.976370-6 4.004039+1 8.987390-6 4.535550+1 8.998410-6 5.111380+1 9.020450-6 6.380069+1 9.023205-6 6.547803+1 9.042490-6 7.759073+1 9.050067-6 8.244579+1 9.064530-6 9.165774+1 9.072106-6 9.636431+1 9.079338-6 1.007204+2 9.086570-6 1.048968+2 9.096213-6 1.101057+2 9.105511-6 1.146461+2 9.114120-6 1.183448+2 9.121352-6 1.210234+2 9.130650-6 1.238293+2 9.142359-6 1.262446+2 9.152690-6 1.272647+2 9.157215-6 1.273706+2 9.168162-6 1.267535+2 9.177682-6 1.252155+2 9.186233-6 1.230594+2 9.195629-6 1.198850+2 9.204245-6 1.162835+2 9.219499-6 1.084807+2 9.229356-6 1.026282+2 9.236540-6 9.804637+1 9.246015-6 9.168913+1 9.253398-6 8.655800+1 9.262890-6 7.982762+1 9.272532-6 7.294441+1 9.282605-6 6.582360+1 9.284930-6 6.420249+1 9.295950-6 5.668887+1 9.305592-6 5.041463+1 9.308347-6 4.868380+1 9.318678-6 4.247014+1 9.327718-6 3.742347+1 9.329010-6 3.673405+1 9.351050-6 2.624240+1 9.359530-6 2.285591+1 9.366310-6 2.040445+1 9.378600-6 1.651945+1 9.410838-6 9.373140+0 9.422382-6 7.706790+0 9.429781-6 6.837172+0 9.436951-6 6.123648+0 9.443898-6 5.539525+0 9.450683-6 5.058619+0 9.457256-6 4.666417+0 9.463624-6 4.346423+0 9.469792-6 4.084905+0 9.481557-6 3.693853+0 9.495230-6 3.371211+0 9.509268-6 3.135071+0 9.528376-6 2.895440+0 9.544438-6 2.724329+0 9.594075-6 2.274811+0 9.609764-6 2.203257+0 9.622577-6 2.201510+0 9.632187-6 2.245265+0 9.640088-6 2.316402+0 9.644800-6 2.375917+0 9.648854-6 2.438227+0 9.654935-6 2.552297+0 9.661016-6 2.692817+0 9.665289-6 2.808384+0 9.670166-6 2.958165+0 9.677481-6 3.220415+0 9.684796-6 3.530158+0 9.696685-6 4.140886+0 9.732354-6 6.819006+0 9.735327-6 7.099410+0 9.756134-6 9.284603+0 9.764308-6 1.023664+1 9.779913-6 1.216161+1 9.788087-6 1.320709+1 9.795890-6 1.421485+1 9.806665-6 1.560079+1 9.815768-6 1.674498+1 9.824546-6 1.780505+1 9.833417-6 1.881418+1 9.841219-6 1.963537+1 9.849997-6 2.046908+1 9.852737-6 2.070736+1 9.863884-6 2.155601+1 9.873986-6 2.214184+1 9.879913-6 2.239785+1 9.891724-6 2.270435+1 9.899913-6 2.275383+1 9.908284-6 2.266613+1 9.918508-6 2.237386+1 9.928172-6 2.191996+1 9.931442-6 2.172969+1 9.947112-6 2.058777+1 9.955680-6 1.982429+1 9.962010-6 1.920943+1 9.973121-6 1.804895+1 9.983687-6 1.687983+1 9.993927-6 1.571768+1 1.000433-5 1.453777+1 1.001771-5 1.306525+1 1.005691-5 9.421185+0 1.006954-5 8.531690+0 1.007442-5 8.227904+0 1.008173-5 7.812560+0 1.009053-5 7.374418+0 1.009819-5 7.044266+0 1.010551-5 6.770067+0 1.011282-5 6.532085+0 1.012323-5 6.248119+0 1.013541-5 5.982334+0 1.014323-5 5.841406+0 1.015510-5 5.659416+0 1.018614-5 5.270900+0 1.020398-5 5.050115+0 1.021096-5 4.957922+0 1.022648-5 4.737346+0 1.023579-5 4.594025+0 1.024823-5 4.390387+0 1.026688-5 4.063260+0 1.028554-5 3.719220+0 1.031042-5 3.253016+0 1.033531-5 2.799387+0 1.036020-5 2.374258+0 1.038509-5 1.986336+0 1.040998-5 1.639114+0 1.045975-5 1.069105+0 1.050953-5 6.706349-1 1.053441-5 5.444446-1 1.055930-5 4.777081-1 1.058337-5 4.829703-1 1.060908-5 5.867818-1 1.063213-5 7.954013-1 1.064117-5 9.153076-1 1.065231-5 1.099388+0 1.066996-5 1.489246+0 1.071244-5 3.140039+0 1.073271-5 4.457509+0 1.074792-5 5.769674+0 1.077072-5 8.420666+0 1.078213-5 1.012769+1 1.079353-5 1.214169+1 1.080578-5 1.469731+1 1.081803-5 1.771718+1 1.083235-5 2.192032+1 1.084666-5 2.694891+1 1.085897-5 3.201284+1 1.087128-5 3.783192+1 1.088382-5 4.460254+1 1.089657-5 5.241151+1 1.091143-5 6.276146+1 1.093465-5 8.170992+1 1.094574-5 9.194725+1 1.096333-5 1.096634+2 1.097254-5 1.196020+2 1.099599-5 1.465231+2 1.100520-5 1.575488+2 1.102507-5 1.816090+2 1.103680-5 1.956604+2 1.104240-5 2.022343+2 1.105080-5 2.118538+2 1.105920-5 2.210963+2 1.106951-5 2.317814+2 1.107793-5 2.398476+2 1.108899-5 2.493611+2 1.110053-5 2.577927+2 1.110487-5 2.605203+2 1.111744-5 2.669334+2 1.112882-5 2.707116+2 1.113550-5 2.719798+2 1.114881-5 2.723480+2 1.115884-5 2.707067+2 1.116798-5 2.677878+2 1.117993-5 2.619879+2 1.119056-5 2.550434+2 1.119901-5 2.484077+2 1.120969-5 2.387425+2 1.121967-5 2.285798+2 1.123053-5 2.164868+2 1.123968-5 2.056176+2 1.124802-5 1.952982+2 1.125805-5 1.825366+2 1.126573-5 1.726122+2 1.127670-5 1.583730+2 1.128816-5 1.436453+2 1.129081-5 1.402924+2 1.130421-5 1.237085+2 1.131593-5 1.099140+2 1.131928-5 1.061208+2 1.133185-5 9.255928+1 1.134441-5 8.013816+1 1.137289-5 5.655730+1 1.141425-5 3.338581+1 1.142699-5 2.858051+1 1.143696-5 2.547749+1 1.144857-5 2.251517+1 1.145332-5 2.149196+1 1.146219-5 1.985348+1 1.147338-5 1.826264+1 1.148429-5 1.718449+1 1.151764-5 1.660341+1 1.152598-5 1.709401+1 1.153223-5 1.763708+1 1.153692-5 1.814633+1 1.154044-5 1.858734+1 1.154571-5 1.934661+1 1.155277-5 2.055252+1 1.155762-5 2.151279+1 1.157217-5 2.507947+1 1.158344-5 2.860422+1 1.159471-5 3.285012+1 1.163677-5 5.577569+1 1.165257-5 6.744324+1 1.166782-5 8.024939+1 1.168610-5 9.743723+1 1.169420-5 1.056018+2 1.170966-5 1.219279+2 1.172114-5 1.345057+2 1.172662-5 1.405860+2 1.173484-5 1.497401+2 1.174307-5 1.588677+2 1.175398-5 1.708022+2 1.175843-5 1.755781+2 1.176623-5 1.837447+2 1.177646-5 1.939901+2 1.178633-5 2.032242+2 1.179849-5 2.135322+2 1.180914-5 2.214079+2 1.182398-5 2.303103+2 1.183624-5 2.356664+2 1.184477-5 2.382482+2 1.185450-5 2.400143+2 1.186478-5 2.404993+2 1.187418-5 2.397100+2 1.188812-5 2.364395+2 1.190025-5 2.316709+2 1.190742-5 2.280796+2 1.192217-5 2.190791+2 1.193222-5 2.118850+2 1.194552-5 2.013056+2 1.195589-5 1.924155+2 1.196754-5 1.819954+2 1.198353-5 1.673516+2 1.200309-5 1.496330+2 1.204784-5 1.139982+2 1.206415-5 1.036650+2 1.208710-5 9.192456+1 1.209862-5 8.727394+1 1.211786-5 8.126902+1 1.212793-5 7.895109+1 1.213942-5 7.694487+1 1.214491-5 7.621251+1 1.215314-5 7.536949+1 1.216137-5 7.481510+1 1.218347-5 7.460317+1 1.219058-5 7.488754+1 1.220123-5 7.559764+1 1.221318-5 7.676293+1 1.222782-5 7.866533+1 1.224111-5 8.079443+1 1.225586-5 8.355729+1 1.227713-5 8.819259+1 1.233991-5 1.052264+2 1.235292-5 1.091553+2 1.239356-5 1.215225+2 1.241577-5 1.279247+2 1.243018-5 1.317763+2 1.244521-5 1.354446+2 1.245781-5 1.381934+2 1.246689-5 1.399614+2 1.248282-5 1.425961+2 1.250221-5 1.449331+2 1.252026-5 1.462078+2 1.253063-5 1.465447+2 1.255046-5 1.464157+2 1.256562-5 1.456810+2 1.257505-5 1.449758+2 1.260243-5 1.420438+2 1.263863-5 1.369046+2 1.268511-5 1.301852+2 1.271530-5 1.267874+2 1.273416-5 1.252781+2 1.275530-5 1.242073+2 1.278211-5 1.237763+2 1.281208-5 1.243629+2 1.284413-5 1.258994+2 1.293803-5 1.320276+2 1.297858-5 1.341875+2 1.301172-5 1.355638+2 1.309070-5 1.378799+2 1.338640-5 1.450828+2 1.356167-5 1.480647+2 1.367913-5 1.500248+2 1.412926-5 1.597555+2 1.445440-5 1.658815+2 1.483595-5 1.720108+2 1.519375-5 1.767515+2 1.560413-5 1.808117+2 1.591034-5 1.828402+2 1.641046-5 1.846867+2 1.686311-5 1.848734+2 1.730438-5 1.839002+2 1.764493-5 1.824812+2 1.795606-5 1.806474+2 1.851397-5 1.765160+2 1.891442-5 1.730540+2 1.939569-5 1.684883+2 2.006856-5 1.615342+2 2.077381-5 1.540431+2 2.194150-5 1.419174+2 2.369104-5 1.253727+2 2.474453-5 1.165401+2 2.522702-5 1.136142+2 2.570952-5 1.100773+2 2.619211-5 1.066065+2 2.851018-5 9.308360+1 3.101320-5 8.180214+1 3.349654-5 7.315882+1 3.635586-5 6.547697+1 3.874388-5 6.029820+1 4.268098-5 5.356082+1 5.629259-5 3.877697+1 6.030323-5 3.556944+1 6.265000-5 3.378438+1 6.524713-5 3.188091+1 6.800000-5 2.991091+1 7.087696-5 2.787632+1 7.372800-5 2.584207+1 7.500000-5 2.491509+1 7.800000-5 2.274048+1 8.136788-5 2.016741+1 8.390991-5 1.809805+1 8.571988-5 1.648801+1 8.744637-5 1.478065+1 8.843732-5 1.362039+1 8.887160-5 1.303162+1 8.937719-5 1.229117+1 9.003717-5 1.135221+1 9.025735-5 1.108920+1 9.048303-5 1.086535+1 9.072069-5 1.068959+1 9.095962-5 1.058036+1 9.118714-5 1.053861+1 9.140730-5 1.055054+1 9.164252-5 1.061003+1 9.188432-5 1.070773+1 9.280534-5 1.116331+1 9.312093-5 1.127244+1 9.341522-5 1.132994+1 9.362295-5 1.134257+1 9.389666-5 1.132492+1 9.447841-5 1.118142+1 9.519621-5 1.089240+1 9.645530-5 1.031352+1 9.746687-5 9.823873+0 9.914021-5 8.969715+0 1.002895-4 8.361042+0 1.014508-4 7.741595+0 1.045000-4 6.260055+0 1.051250-4 6.005819+0 1.060000-4 5.691973+0 1.067199-4 5.476862+0 1.076316-4 5.268212+0 1.085014-4 5.143021+0 1.093500-4 5.098616+0 1.100000-4 5.122191+0 1.108564-4 5.236412+0 1.119030-4 5.511912+0 1.130671-4 6.002684+0 1.141274-4 6.629950+0 1.151033-4 7.369028+0 1.157663-4 7.962848+0 1.166854-4 8.910456+0 1.193732-4 1.243867+1 1.211430-4 1.533575+1 1.226549-4 1.813899+1 1.235000-4 1.982127+1 1.246239-4 2.217310+1 1.257500-4 2.464313+1 1.272500-4 2.807502+1 1.280000-4 2.984148+1 1.295000-4 3.345842+1 1.305000-4 3.592301+1 1.315000-4 3.842201+1 1.325000-4 4.094845+1 1.335000-4 4.349782+1 1.346500-4 4.645444+1 1.363314-4 5.081820+1 1.380384-4 5.529286+1 1.400000-4 6.048842+1 1.430000-4 6.852380+1 1.465000-4 7.809770+1 1.500000-4 8.788967+1 1.549263-4 1.020410+2 1.600000-4 1.170162+2 1.650000-4 1.319696+2 1.708272-4 1.492235+2 1.766494-4 1.658196+2 1.820000-4 1.802281+2 1.873811-4 1.934111+2 1.901426-4 1.995291+2 1.936100-4 2.065556+2 1.978995-4 2.140178+2 1.996121-4 2.176386+2 2.010223-4 2.218717+2 2.113489-4 2.641021+2 2.132984-4 2.717514+2 2.159778-4 2.813863+2 2.195967-4 2.928745+2 2.236321-4 3.034995+2 2.297634-4 3.177955+2 2.373371-4 3.341114+2 2.457600-4 3.505845+2 2.551778-4 3.673377+2 2.635032-4 3.799097+2 2.715169-4 3.896119+2 2.736555-4 3.945984+2 2.803000-4 4.176574+2 2.843478-4 4.276614+2 2.917427-4 4.426332+2 2.993740-4 4.552783+2 3.109001-4 4.714946+2 3.227904-4 4.853606+2 3.362566-4 4.987702+2 3.630780-4 5.208438+2 3.894478-4 5.380210+2 4.004054-4 5.439566+2 4.196441-4 5.525842+2 4.381893-4 5.590335+2 4.782858-4 5.688935+2 5.289395-4 5.763627+2 5.883804-4 5.798478+2 6.440545-4 5.795771+2 7.125991-4 5.760630+2 7.553096-4 5.715572+2 8.337112-4 5.610789+2 9.202509-4 5.478584+2 9.730270-4 5.388353+2 1.025654-3 5.289602+2 1.084124-3 5.168771+2 1.141563-3 5.036671+2 1.201927-3 4.873120+2 1.257815-3 4.700105+2 1.309117-3 4.528769+2 1.358394-3 4.349747+2 1.400538-3 4.179923+2 1.438692-3 4.008270+2 1.469460-3 3.853639+2 1.492581-3 3.724546+2 1.517972-3 3.566304+2 1.539269-3 3.415671+2 1.561076-3 3.237480+2 1.578782-3 3.067372+2 1.592237-3 2.918233+2 1.602275-3 2.793817+2 1.614219-3 2.624896+2 1.623671-3 2.467462+2 1.631122-3 2.324751+2 1.635511-3 2.233487+2 1.642124-3 2.090132+2 1.650416-3 1.917102+2 1.654961-3 1.836753+2 1.658103-3 1.791583+2 1.661623-3 1.753868+2 1.663232-3 1.741748+2 1.665327-3 1.731154+2 1.667654-3 1.726531+2 1.670659-3 1.731867+2 1.673623-3 1.749400+2 1.676600-3 1.778539+2 1.679959-3 1.823766+2 1.684033-3 1.892952+2 1.698956-3 2.210472+2 1.704231-3 2.325887+2 1.715470-3 2.569211+2 1.726767-3 2.836223+2 1.743000-3 3.283089+2 1.747483-3 3.410280+2 1.752541-3 3.549479+2 1.759250-3 3.721850+2 1.767485-3 3.908845+2 1.773996-3 4.036661+2 1.781379-3 4.162164+2 1.790699-3 4.296222+2 1.803962-3 4.451169+2 1.814267-3 4.549010+2 1.828044-3 4.654555+2 1.841349-3 4.731805+2 1.853624-3 4.783087+2 1.873503-3 4.843543+2 1.881602-3 4.875243+2 1.889367-3 4.919522+2 1.896364-3 4.974960+2 1.907068-3 5.088826+2 1.930664-3 5.397230+2 1.940318-3 5.511781+2 1.950223-3 5.612214+2 1.962991-3 5.718443+2 1.976836-3 5.812402+2 1.993000-3 5.904269+2 2.013211-3 6.001858+2 2.035935-3 6.096134+2 2.082891-3 6.251236+2 2.135385-3 6.380904+2 2.192616-3 6.481192+2 2.278447-3 6.577335+2 2.370183-3 6.635656+2 2.475551-3 6.657780+2 2.581517-3 6.648075+2 2.740893-3 6.592091+2 2.917427-3 6.496594+2 3.143154-3 6.331438+2 3.379919-3 6.137932+2 3.686400-3 5.876312+2 4.059172-3 5.557310+2 4.538722-3 5.170513+2 5.051699-3 4.788345+2 5.800127-3 4.296625+2 6.510613-3 3.888859+2 7.057028-3 3.604719+2 7.582267-3 3.354823+2 8.219191-3 3.079255+2 8.869326-3 2.823914+2 9.586518-3 2.567900+2 9.975295-3 2.439601+2 1.038616-2 2.311005+2 1.114200-2 2.090301+2 1.178708-2 1.914763+2 1.229785-2 1.781430+2 1.271139-2 1.674135+2 1.304811-2 1.584454+2 1.331995-2 1.507591+2 1.344169-2 1.470598+2 1.362094-2 1.410838+2 1.369163-2 1.384507+2 1.375944-2 1.356899+2 1.382513-2 1.327074+2 1.388020-2 1.299008+2 1.395253-2 1.257216+2 1.407856-2 1.175818+2 1.414934-2 1.135358+2 1.419268-2 1.117390+2 1.423360-2 1.107257+2 1.426310-2 1.104642+2 1.430376-2 1.107661+2 1.434451-2 1.117886+2 1.439699-2 1.139606+2 1.453901-2 1.217987+2 1.457542-2 1.236893+2 1.464344-2 1.267277+2 1.472370-2 1.294484+2 1.477415-2 1.307469+2 1.488185-2 1.327558+2 1.496236-2 1.337921+2 1.513779-2 1.352246+2 1.539926-2 1.360726+2 1.574824-2 1.358454+2 1.617436-2 1.344260+2 1.667367-2 1.319131+2 1.721795-2 1.286747+2 1.801254-2 1.235227+2 1.907690-2 1.163844+2 2.043272-2 1.076599+2 2.213885-2 9.765429+1 2.391939-2 8.842670+1 2.626153-2 7.790873+1 2.898147-2 6.771610+1 3.236665-2 5.747280+1 3.560023-2 4.968362+1 3.905549-2 4.287259+1 4.366577-2 3.560666+1 5.337729-2 2.535014+1 6.096379-2 2.012712+1 8.767011-2 1.059180+1 1.073724-1 7.360668+0 1.285400-1 5.292613+0 1.590151-1 3.555007+0 2.074269-1 2.144028+0 2.851018-1 1.160873+0 4.005329-1 5.982058-1 5.939501-1 2.753142-1 1.005773+0 9.674999-2 2.947480+0 1.131066-2 8.901248+0 1.240795-3 2.688134+1 1.360577-4 8.118035+1 1.491852-5 2.451607+2 1.635784-6 7.403736+2 1.793602-7 2.511886+3 1.558217-8 7.943282+3 1.558217-9 2.511886+4 1.55822-10 7.943282+4 1.55822-11 1.000000+5 9.83168-12 1 36000 7 7 8.380000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 7.503100-7 1.258900-6 1.189200-6 1.584900-6 1.884700-6 1.995300-6 2.987000-6 2.511900-6 4.734100-6 3.162300-6 7.503100-6 3.981100-6 1.189100-5 5.011900-6 1.884700-5 6.309600-6 2.987000-5 7.943300-6 4.734000-5 1.000000-5 7.502800-5 1.258900-5 1.189100-4 1.584900-5 1.884600-4 1.995300-5 2.986700-4 2.511900-5 4.733500-4 3.162300-5 7.501300-4 3.981100-5 1.188500-3 5.011900-5 1.883200-3 6.309600-5 2.983900-3 7.943300-5 4.728100-3 1.000000-4 7.490000-3 1.258900-4 1.186300-2 1.584900-4 1.877300-2 1.995300-4 2.970000-2 2.511900-4 4.692900-2 3.162300-4 7.403300-2 3.981100-4 1.164800-1 5.011900-4 1.825500-1 6.309600-4 2.839700-1 7.943300-4 4.369600-1 1.000000-3 6.628200-1 1.258900-3 9.845900-1 1.584900-3 1.423500+0 1.995300-3 1.993700+0 2.511900-3 2.702000+0 3.162300-3 3.552500+0 3.981100-3 4.544000+0 5.011900-3 5.645000+0 6.309600-3 6.826700+0 7.943300-3 8.078900+0 1.000000-2 9.426000+0 1.258900-2 1.083100+1 1.584900-2 1.223900+1 1.995300-2 1.355800+1 2.511900-2 1.471100+1 3.162300-2 1.565200+1 3.981100-2 1.634300+1 5.011900-2 1.675200+1 6.309600-2 1.686500+1 7.943300-2 1.671600+1 1.000000-1 1.633900+1 1.258900-1 1.576500+1 1.584900-1 1.503200+1 1.995300-1 1.417200+1 2.511900-1 1.324100+1 3.162300-1 1.226600+1 3.981100-1 1.128100+1 5.011900-1 1.030700+1 6.309600-1 9.358900+0 7.943300-1 8.446500+0 1.000000+0 7.577000+0 1.258900+0 6.755100+0 1.584900+0 5.984400+0 1.995300+0 5.268100+0 2.511900+0 4.608400+0 3.162300+0 4.006600+0 3.981100+0 3.463000+0 5.011900+0 2.976400+0 6.309600+0 2.545000+0 7.943300+0 2.165600+0 1.000000+1 1.834700+0 1.258900+1 1.548100+0 1.584900+1 1.301500+0 1.995300+1 1.090600+0 2.511900+1 9.110900-1 3.162300+1 7.590900-1 3.981100+1 6.309000-1 5.011900+1 5.232100-1 6.309600+1 4.330200-1 7.943300+1 3.577300-1 1.000000+2 2.950500-1 1.258900+2 2.429800-1 1.584900+2 1.998200-1 1.995300+2 1.641200-1 2.511900+2 1.346400-1 3.162300+2 1.103300-1 3.981100+2 9.032400-2 5.011900+2 7.387500-2 6.309600+2 6.036900-2 7.943300+2 4.929200-2 1.000000+3 4.021600-2 1.258900+3 3.278800-2 1.584900+3 2.671300-2 1.995300+3 2.175000-2 2.511900+3 1.769900-2 3.162300+3 1.439300-2 3.981100+3 1.169900-2 5.011900+3 9.503700-3 6.309600+3 7.716700-3 7.943300+3 6.262700-3 1.000000+4 5.080300-3 1.258900+4 4.119400-3 1.584900+4 3.338800-3 1.995300+4 2.705100-3 2.511900+4 2.190800-3 3.162300+4 1.773600-3 3.981100+4 1.435300-3 5.011900+4 1.161200-3 6.309600+4 9.390900-4 7.943300+4 7.592300-4 1.000000+5 6.136200-4 1 36000 7 7 8.380000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159544-4 3.981072-4 3.976745-4 5.011872-4 5.005026-4 6.309573-4 6.298728-4 7.943282-4 7.926210-4 1.000000-3 9.973102-4 1.258925-3 1.254699-3 1.584893-3 1.578262-3 1.995262-3 1.984927-3 2.511886-3 2.495792-3 3.162278-3 3.137211-3 3.981072-3 3.942166-3 5.011872-3 4.951443-3 6.309573-3 6.216104-3 7.943282-3 7.798276-3 1.000000-2 9.775204-3 1.258925-2 1.224054-2 1.584893-2 1.530947-2 1.995262-2 1.912226-2 2.511886-2 2.384768-2 3.162278-2 2.968689-2 3.981072-2 3.687765-2 5.011872-2 4.570022-2 6.309573-2 5.648762-2 7.943282-2 6.961462-2 1.000000-1 8.551753-2 1.258925-1 1.047017-1 1.584893-1 1.277453-1 1.995262-1 1.553485-1 2.511886-1 1.882705-1 3.162278-1 2.274168-1 3.981072-1 2.737964-1 5.011872-1 3.286030-1 6.309573-1 3.932434-1 7.943282-1 4.692151-1 1.000000+0 5.587179-1 1.258925+0 6.640757-1 1.584893+0 7.884328-1 1.995262+0 9.355546-1 2.511886+0 1.110091+0 3.162278+0 1.317810+0 3.981072+0 1.565749+0 5.011872+0 1.862520+0 6.309573+0 2.218740+0 7.943282+0 2.647190+0 1.000000+1 3.163799+0 1.258925+1 3.787823+0 1.584893+1 4.542948+0 1.995262+1 5.458056+0 2.511886+1 6.568893+0 3.162278+1 7.918849+0 3.981072+1 9.561309+0 5.011872+1 1.156207+1 6.309573+1 1.400168+1 7.943282+1 1.697920+1 1.000000+2 2.061670+1 1.258925+2 2.506397+1 1.584893+2 3.050560+1 1.995262+2 3.716880+1 2.511886+2 4.533397+1 3.162278+2 5.534654+1 3.981072+2 6.763090+1 5.011872+2 8.271432+1 6.309573+2 1.012438+2 7.943282+2 1.240195+2 1.000000+3 1.520293+2 1.258925+3 1.864919+2 1.584893+3 2.289173+2 1.995262+3 2.811796+2 2.511886+3 3.455664+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739883-9 3.981072-5 4.342091-9 5.011872-5 6.881413-9 6.309573-5 1.090587-8 7.943282-5 1.728387-8 1.000000-4 2.738922-8 1.258925-4 4.340225-8 1.584893-4 6.876437-8 1.995262-4 1.089504-7 2.511886-4 1.725848-7 3.162278-4 2.733192-7 3.981072-4 4.326675-7 5.011872-4 6.845979-7 6.309573-4 1.084508-6 7.943282-4 1.707233-6 1.000000-3 2.689787-6 1.258925-3 4.226164-6 1.584893-3 6.631562-6 1.995262-3 1.033524-5 2.511886-3 1.609419-5 3.162278-3 2.506628-5 3.981072-3 3.890575-5 5.011872-3 6.042966-5 6.309573-3 9.346947-5 7.943282-3 1.450061-4 1.000000-2 2.247961-4 1.258925-2 3.487155-4 1.584893-2 5.394666-4 1.995262-2 8.303664-4 2.511886-2 1.271184-3 3.162278-2 1.935885-3 3.981072-2 2.933070-3 5.011872-2 4.418505-3 6.309573-2 6.608110-3 7.943282-2 9.818207-3 1.000000-1 1.448247-2 1.258925-1 2.119080-2 1.584893-1 3.074406-2 1.995262-1 4.417778-2 2.511886-1 6.291815-2 3.162278-1 8.881096-2 3.981072-1 1.243108-1 5.011872-1 1.725842-1 6.309573-1 2.377139-1 7.943282-1 3.251132-1 1.000000+0 4.412821-1 1.258925+0 5.948497-1 1.584893+0 7.964604-1 1.995262+0 1.059708+0 2.511886+0 1.401796+0 3.162278+0 1.844467+0 3.981072+0 2.415323+0 5.011872+0 3.149352+0 6.309573+0 4.090833+0 7.943282+0 5.296092+0 1.000000+1 6.836201+0 1.258925+1 8.801431+0 1.584893+1 1.130598+1 1.995262+1 1.449457+1 2.511886+1 1.854997+1 3.162278+1 2.370393+1 3.981072+1 3.024941+1 5.011872+1 3.855665+1 6.309573+1 4.909405+1 7.943282+1 6.245362+1 1.000000+2 7.938330+1 1.258925+2 1.008286+2 1.584893+2 1.279837+2 1.995262+2 1.623574+2 2.511886+2 2.058547+2 3.162278+2 2.608812+2 3.981072+2 3.304763+2 5.011872+2 4.184729+2 6.309573+2 5.297136+2 7.943282+2 6.703087+2 1.000000+3 8.479707+2 1.258925+3 1.072434+3 1.584893+3 1.355976+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 1.272000-5 4.850200+7 1.303167-5 4.991079+7 1.333521-5 5.091823+7 1.343000-5 5.112462+7 1.343000-5 7.420242+7 1.360000-5 7.501055+7 1.370000-5 7.537548+7 1.390000-5 7.600743+7 1.396368-5 7.614264+7 1.412538-5 7.640371+7 1.420000-5 7.644913+7 1.445440-5 7.647443+7 1.450000-5 7.642911+7 1.479108-5 7.597153+7 1.480000-5 7.594771+7 1.515000-5 7.484560+7 1.540000-5 7.370161+7 1.550000-5 7.320829+7 1.570000-5 7.206194+7 1.584893-5 7.115904+7 1.603245-5 6.992209+7 1.621810-5 6.862080+7 1.640590-5 6.720303+7 1.659587-5 6.572919+7 1.678804-5 6.415647+7 1.701200-5 6.230039+7 1.717908-5 6.085655+7 1.750000-5 5.810074+7 1.757924-5 5.740102+7 1.800000-5 5.374316+7 1.850000-5 4.944300+7 1.905461-5 4.486790+7 1.950000-5 4.137489+7 1.972423-5 3.971684+7 2.000000-5 3.772755+7 2.041738-5 3.489936+7 2.070000-5 3.308981+7 2.113489-5 3.048372+7 2.150000-5 2.844708+7 2.213095-5 2.526705+7 2.238721-5 2.407870+7 2.350000-5 1.960286+7 2.371374-5 1.885324+7 2.540973-5 1.395723+7 2.744000-5 9.939551+6 2.744000-5 9.949886+6 2.754229-5 9.787283+6 2.775000-5 9.466999+6 2.791000-5 9.229118+6 2.806000-5 9.012809+6 2.818383-5 8.838969+6 2.828000-5 8.706828+6 2.840000-5 8.545371+6 2.851018-5 8.400397+6 2.862000-5 8.258932+6 2.873000-5 8.120199+6 2.884032-5 7.983967+6 2.892000-5 7.887342+6 2.903000-5 7.756335+6 2.915000-5 7.616503+6 2.926000-5 7.491081+6 2.937000-5 7.368230+6 2.948000-5 7.247890+6 2.960000-5 7.119401+6 2.975000-5 6.962777+6 2.990000-5 6.810448+6 3.010000-5 6.613789+6 3.040000-5 6.331986+6 3.101100-5 5.803292+6 3.135000-5 5.533935+6 3.162278-5 5.328602+6 3.190400-5 5.126931+6 3.220000-5 4.925028+6 3.235937-5 4.820500+6 3.245000-5 4.762833+6 3.280000-5 4.548216+6 3.315000-5 4.345850+6 3.349654-5 4.156757+6 3.350000-5 4.154933+6 3.388442-5 3.958496+6 3.427678-5 3.770241+6 3.470000-5 3.580033+6 3.520000-5 3.371152+6 3.570000-5 3.177986+6 3.589219-5 3.107596+6 3.610000-5 3.034705+6 3.670000-5 2.836545+6 3.730000-5 2.655323+6 3.758374-5 2.574985+6 3.785000-5 2.503069+6 3.850000-5 2.338509+6 3.900000-5 2.221787+6 3.920000-5 2.178044+6 4.000000-5 2.014344+6 4.073803-5 1.878212+6 4.120975-5 1.797818+6 4.168694-5 1.722137+6 4.265795-5 1.583772+6 4.365158-5 1.458398+6 4.415704-5 1.400096+6 4.466836-5 1.346349+6 4.570882-5 1.246080+6 4.650000-5 1.177246+6 4.677351-5 1.155423+6 4.680000-5 1.153369+6 4.800000-5 1.065748+6 4.850000-5 1.032213+6 4.954502-5 9.695013+5 5.069907-5 9.078327+5 5.128614-5 8.800408+5 5.188000-5 8.530966+5 5.248075-5 8.277740+5 5.308844-5 8.044319+5 5.400000-5 7.711701+5 5.450000-5 7.543686+5 5.500000-5 7.389712+5 5.623413-5 7.029013+5 5.650000-5 6.957563+5 5.688529-5 6.861529+5 5.821032-5 6.544953+5 5.850000-5 6.481381+5 5.900000-5 6.380088+5 6.025596-5 6.133874+5 6.150000-5 5.927249+5 6.220000-5 5.814343+5 6.237348-5 5.788622+5 6.400000-5 5.566993+5 6.450000-5 5.504487+5 6.606934-5 5.324730+5 6.650000-5 5.280875+5 6.683439-5 5.248666+5 6.800000-5 5.135077+5 6.850000-5 5.091105+5 7.000000-5 4.969518+5 7.079458-5 4.909458+5 7.244360-5 4.795144+5 7.300000-5 4.760947+5 7.328245-5 4.744537+5 7.500000-5 4.641694+5 7.762471-5 4.511752+5 7.800000-5 4.493550+5 8.035261-5 4.392403+5 8.150000-5 4.347129+5 8.222426-5 4.321345+5 8.317638-5 4.285637+5 8.511380-5 4.218081+5 8.650000-5 4.174536+5 8.709636-5 4.156913+5 9.015711-5 4.063278+5 9.332543-5 3.980466+5 9.398000-5 3.962730+5 9.398000-5 7.328052+5 9.535000-5 7.348293+5 9.535000-5 9.554837+5 9.549926-5 9.561926+5 9.630000-5 9.600868+5 9.740000-5 9.670633+5 9.800000-5 9.720053+5 9.850000-5 9.766748+5 9.885531-5 9.807940+5 9.900000-5 9.824850+5 9.960000-5 9.901520+5 1.000000-4 9.962495+5 1.005000-4 1.004633+6 1.011579-4 1.017461+6 1.015000-4 1.024795+6 1.023293-4 1.045238+6 1.025000-4 1.049787+6 1.030000-4 1.064740+6 1.035142-4 1.081216+6 1.040000-4 1.098558+6 1.045000-4 1.117759+6 1.050300-4 1.140154+6 1.055000-4 1.161426+6 1.060000-4 1.186159+6 1.066900-4 1.222846+6 1.071519-4 1.249687+6 1.080000-4 1.302917+6 1.085000-4 1.337179+6 1.096478-4 1.422922+6 1.100000-4 1.451478+6 1.109175-4 1.530964+6 1.115000-4 1.584122+6 1.150000-4 1.958569+6 1.161449-4 2.098328+6 1.162800-4 2.115521+6 1.165000-4 2.143406+6 1.180000-4 2.338297+6 1.190000-4 2.471432+6 1.194000-4 2.525845+6 1.205000-4 2.676360+6 1.220000-4 2.881627+6 1.235000-4 3.084754+6 1.250000-4 3.282911+6 1.258925-4 3.395450+6 1.265000-4 3.474084+6 1.280000-4 3.656484+6 1.288250-4 3.750654+6 1.295000-4 3.829237+6 1.315000-4 4.043643+6 1.335000-4 4.240027+6 1.355400-4 4.421184+6 1.358000-4 4.444674+6 1.380384-4 4.624029+6 1.400000-4 4.767011+6 1.412538-4 4.848615+6 1.430000-4 4.963557+6 1.465000-4 5.164745+6 1.500000-4 5.341137+6 1.548817-4 5.551882+6 1.600000-4 5.732694+6 1.650000-4 5.871150+6 1.659587-4 5.890251+6 1.678804-4 5.928379+6 1.698244-4 5.966736+6 1.705000-4 5.978233+6 1.740000-4 6.020334+6 1.760000-4 6.038260+6 1.800000-4 6.054369+6 1.820000-4 6.055755+6 1.850000-4 6.044129+6 1.862087-4 6.039405+6 1.880000-4 6.027118+6 1.927525-4 5.975624+6 1.950000-4 5.946184+6 2.000000-4 5.865220+6 2.018366-4 5.832312+6 2.041738-4 5.784973+6 2.069600-4 5.729597+6 2.069600-4 6.060005+6 2.080000-4 6.045466+6 2.089296-4 6.031061+6 2.113489-4 5.988881+6 2.137962-4 5.943404+6 2.151200-4 5.919349+6 2.151200-4 6.072972+6 2.162719-4 6.053381+6 2.180000-4 6.022116+6 2.194200-4 5.995594+6 2.240000-4 5.903457+6 2.264644-4 5.854386+6 2.270000-4 5.843231+6 2.290868-4 5.799741+6 2.317395-4 5.745778+6 2.330000-4 5.718374+6 2.380000-4 5.608159+6 2.400000-4 5.564803+6 2.450000-4 5.455152+6 2.511886-4 5.316926+6 2.540973-4 5.252185+6 2.580000-4 5.168170+6 2.600160-4 5.122753+6 2.630268-4 5.056260+6 2.660725-4 4.987269+6 2.691535-4 4.918466+6 2.730000-4 4.830939+6 2.754229-4 4.777053+6 2.781700-4 4.714288+6 2.781700-4 4.876334+6 2.792000-4 4.856848+6 2.803000-4 4.835659+6 2.818383-4 4.805392+6 2.825000-4 4.791743+6 2.851018-4 4.737371+6 2.884032-4 4.668126+6 2.900000-4 4.634847+6 2.917427-4 4.598011+6 2.920000-4 4.592591+6 2.951209-4 4.526976+6 2.965000-4 4.497439+6 2.985383-4 4.453985+6 3.000000-4 4.423046+6 3.050000-4 4.319123+6 3.054921-4 4.309098+6 3.100000-4 4.215981+6 3.126079-4 4.163279+6 3.162278-4 4.089733+6 3.235937-4 3.944894+6 3.240000-4 3.937145+6 3.273407-4 3.874073+6 3.350000-4 3.733460+6 3.388442-4 3.663842+6 3.430000-4 3.591091+6 3.500000-4 3.473654+6 3.507519-4 3.461432+6 3.548134-4 3.395574+6 3.550000-4 3.392601+6 3.600000-4 3.313727+6 3.630781-4 3.266630+6 3.715352-4 3.139851+6 3.780000-4 3.047577+6 3.890451-4 2.897078+6 3.935501-4 2.837172+6 4.027170-4 2.720915+6 4.120975-4 2.607914+6 4.168694-4 2.552914+6 4.265795-4 2.444043+6 4.315191-4 2.391361+6 4.365158-4 2.339247+6 4.415704-4 2.288365+6 4.466836-4 2.238334+6 4.518559-4 2.189323+6 4.570882-4 2.140666+6 4.600000-4 2.114336+6 4.700000-4 2.027632+6 4.731513-4 2.001228+6 4.786301-4 1.956264+6 4.897788-4 1.869257+6 4.954502-4 1.827332+6 5.011872-4 1.785849+6 5.069907-4 1.745008+6 5.188000-4 1.665961+6 5.248075-4 1.627505+6 5.308844-4 1.590013+6 5.370318-4 1.553376+6 5.400000-4 1.535995+6 5.432503-4 1.517224+6 5.495409-4 1.481363+6 5.650000-4 1.398635+6 5.688529-4 1.378952+6 5.754399-4 1.346287+6 5.821032-4 1.314372+6 5.888437-4 1.282909+6 6.165950-4 1.163440+6 6.309573-4 1.107826+6 6.382635-4 1.080980+6 6.456542-4 1.054599+6 6.531306-4 1.028858+6 6.839116-4 9.314920+5 6.850000-4 9.282915+5 6.918310-4 9.084914+5 7.000000-4 8.854308+5 7.161434-4 8.423915+5 7.328245-4 8.007874+5 7.413102-4 7.807650+5 7.500000-4 7.609571+5 7.762471-4 7.047127+5 7.852356-4 6.868872+5 7.943282-4 6.693614+5 8.128305-4 6.357292+5 8.222426-4 6.195264+5 8.317638-4 6.037332+5 8.609938-4 5.582514+5 8.709636-4 5.439096+5 8.810489-4 5.298613+5 8.912509-4 5.161984+5 9.015711-4 5.028470+5 9.225714-4 4.770061+5 9.500000-4 4.460137+5 9.549926-4 4.406844+5 9.660509-4 4.291299+5 9.772372-4 4.178890+5 9.885531-4 4.069063+5 1.011579-3 3.856812+5 1.059254-3 3.464989+5 1.083927-3 3.283920+5 1.096478-3 3.196538+5 1.135011-3 2.946527+5 1.161449-3 2.790793+5 1.190000-3 2.635959+5 1.202264-3 2.573037+5 1.216186-3 2.503200+5 1.230269-3 2.435324+5 1.244515-3 2.369376+5 1.273503-3 2.242723+5 1.318257-3 2.065279+5 1.333521-3 2.009255+5 1.350000-3 1.950722+5 1.364583-3 1.900715+5 1.380384-3 1.848598+5 1.450000-3 1.642204+5 1.462177-3 1.609330+5 1.479108-3 1.565077+5 1.531087-3 1.438680+5 1.548817-3 1.398739+5 1.621810-3 1.250266+5 1.640590-3 1.215646+5 1.650000-3 1.198764+5 1.673400-3 1.157895+5 1.673400-3 4.301554+5 1.675200-3 4.333458+5 1.678000-3 4.358374+5 1.678150-3 4.346530+5 1.678804-3 4.348949+5 1.695000-3 4.410042+5 1.704000-3 4.429820+5 1.714000-3 4.436923+5 1.717908-3 4.434882+5 1.721000-3 4.433296+5 1.728300-3 4.410890+5 1.728300-3 5.174280+5 1.728510-3 5.199439+5 1.728700-3 5.256800+5 1.728900-3 5.317910+5 1.729000-3 5.348080+5 1.729100-3 5.379157+5 1.729400-3 5.470783+5 1.729500-3 5.495878+5 1.729600-3 5.489914+5 1.730000-3 5.544300+5 1.730150-3 5.558168+5 1.730300-3 5.586993+5 1.730600-3 5.630314+5 1.730700-3 5.639065+5 1.730850-3 5.647659+5 1.731000-3 5.665716+5 1.731200-3 5.683847+5 1.731350-3 5.692792+5 1.731500-3 5.711543+5 1.731650-3 5.720726+5 1.731800-3 5.733204+5 1.732000-3 5.744662+5 1.732150-3 5.750213+5 1.732500-3 5.773771+5 1.732600-3 5.772810+5 1.732850-3 5.781422+5 1.733200-3 5.799469+5 1.733350-3 5.803760+5 1.733500-3 5.813021+5 1.733650-3 5.817367+5 1.733800-3 5.826733+5 1.736500-3 5.874146+5 1.737801-3 5.886599+5 1.738000-3 5.888520+5 1.743000-3 5.893939+5 1.744000-3 5.893509+5 1.751000-3 5.877474+5 1.758000-3 5.853531+5 1.768000-3 5.799465+5 1.772000-3 5.780641+5 1.785000-3 5.709944+5 1.787000-3 5.700303+5 1.798000-3 5.634451+5 1.800000-3 5.620531+5 1.819701-3 5.485930+5 1.835000-3 5.384457+5 1.840772-3 5.342976+5 1.862087-3 5.199069+5 1.870000-3 5.147036+5 1.890000-3 5.016294+5 1.902300-3 4.933616+5 1.902300-3 5.619604+5 1.927525-3 5.444687+5 1.949845-3 5.296438+5 1.950000-3 5.295429+5 1.972423-3 5.152300+5 2.000000-3 4.983790+5 2.018366-3 4.875036+5 2.041738-3 4.741469+5 2.100000-3 4.422574+5 2.137962-3 4.231032+5 2.162719-3 4.112157+5 2.187762-3 3.996702+5 2.213095-3 3.884569+5 2.264644-3 3.669806+5 2.317395-3 3.465758+5 2.344229-3 3.368127+5 2.426610-3 3.091731+5 2.454709-3 3.004848+5 2.483133-3 2.919551+5 2.511886-3 2.836709+5 2.540973-3 2.756117+5 2.630268-3 2.526785+5 2.660725-3 2.454761+5 2.722701-3 2.316894+5 2.754229-3 2.250963+5 2.818383-3 2.122680+5 2.884032-3 2.001678+5 2.917427-3 1.943360+5 2.951209-3 1.886610+5 3.054921-3 1.726354+5 3.090295-3 1.676105+5 3.126079-3 1.627360+5 3.162278-3 1.580029+5 3.198895-3 1.533752+5 3.273407-3 1.445216+5 3.349654-3 1.361913+5 3.427678-3 1.282679+5 3.467369-3 1.244853+5 3.507519-3 1.208172+5 3.548134-3 1.172272+5 3.589219-3 1.137437+5 3.672823-3 1.070847+5 3.801894-3 9.775806+4 3.890451-3 9.200813+4 3.935501-3 8.925520+4 4.027170-3 8.400115+4 4.073803-3 8.147573+4 4.265795-3 7.211943+4 4.365158-3 6.786004+4 4.415704-3 6.580742+4 4.466836-3 6.381850+4 4.500000-3 6.257336+4 4.518559-3 6.188842+4 4.570882-3 6.000284+4 4.623810-3 5.817480+4 5.000000-3 4.717007+4 5.011872-3 4.687206+4 5.069907-3 4.544280+4 5.188000-3 4.271744+4 5.248075-3 4.140853+4 5.370318-3 3.891016+4 5.432503-3 3.771475+4 5.688529-3 3.329827+4 5.754399-3 3.227232+4 5.888437-3 3.031696+4 5.956621-3 2.938422+4 6.000000-3 2.880795+4 6.095369-3 2.759513+4 6.382635-3 2.433534+4 6.456542-3 2.358409+4 6.531306-3 2.285663+4 6.606934-3 2.215220+4 6.683439-3 2.146554+4 6.760830-3 2.079639+4 6.839116-3 2.014834+4 6.918310-3 1.952039+4 7.079458-3 1.832311+4 7.413102-3 1.614238+4 7.498942-3 1.564015+4 7.585776-3 1.515392+4 7.673615-3 1.468322+4 7.762471-3 1.422486+4 8.128305-3 1.251968+4 8.317638-3 1.174662+4 8.609938-3 1.067458+4 8.810489-3 1.001625+4 8.912509-3 9.702603+3 9.549926-3 8.002027+3 9.772372-3 7.505448+3 9.885531-3 7.268482+3 1.011579-2 6.817370+3 1.023293-2 6.600931+3 1.035142-2 6.391449+3 1.047129-2 6.187813+3 1.109175-2 5.265183+3 1.135011-2 4.936504+3 1.148154-2 4.779768+3 1.161449-2 4.628134+3 1.174898-2 4.481335+3 1.188502-2 4.338100+3 1.202264-2 4.199547+3 1.216186-2 4.064962+3 1.258925-2 3.687137+3 1.303167-2 3.345278+3 1.305600-2 3.327749+3 1.333521-2 3.135355+3 1.348963-2 3.035213+3 1.364583-2 2.938342+3 1.396368-2 2.752350+3 1.400000-2 2.732137+3 1.428000-2 2.582417+3 1.428000-2 1.825002+4 1.441500-2 1.792892+4 1.475000-2 1.683027+4 1.496236-2 1.623972+4 1.513561-2 1.577932+4 1.548817-2 1.485519+4 1.566751-2 1.441371+4 1.580000-2 1.409916+4 1.584893-2 1.398537+4 1.603245-2 1.356971+4 1.621810-2 1.316590+4 1.640590-2 1.277981+4 1.659587-2 1.240493+4 1.737801-2 1.101275+4 1.757924-2 1.068997+4 1.778279-2 1.036750+4 1.798871-2 1.005471+4 1.840772-2 9.457244+3 1.862087-2 9.172012+3 1.883649-2 8.895339+3 1.927525-2 8.366200+3 1.949845-2 8.113493+3 1.972423-2 7.866474+3 2.018366-2 7.394861+3 2.089296-2 6.740111+3 2.113489-2 6.535017+3 2.187762-2 5.956525+3 2.213095-2 5.775345+3 2.238721-2 5.599483+3 2.290868-2 5.256907+3 2.300000-2 5.199885+3 2.426610-2 4.489410+3 2.454709-2 4.349957+3 2.483133-2 4.214827+3 2.570396-2 3.834154+3 2.600160-2 3.714946+3 2.660725-2 3.487563+3 2.722701-2 3.274132+3 2.754229-2 3.172361+3 2.818383-2 2.978187+3 2.884032-2 2.792405+3 2.951209-2 2.618212+3 3.000000-2 2.500840+3 3.019952-2 2.454903+3 3.126079-2 2.228619+3 3.162278-2 2.157931+3 3.235937-2 2.023228+3 3.349654-2 1.836811+3 3.427678-2 1.722157+3 3.507519-2 1.614657+3 3.548134-2 1.562604+3 3.589219-2 1.512232+3 3.715352-2 1.370503+3 3.845918-2 1.242080+3 3.981072-2 1.125711+3 4.073803-2 1.054265+3 4.120975-2 1.020258+3 4.265795-2 9.246731+2 4.315191-2 8.948112+2 4.365158-2 8.659153+2 4.415704-2 8.375687+2 4.841724-2 6.418118+2 5.069907-2 5.618361+2 5.128614-2 5.434332+2 5.248075-2 5.084186+2 5.370318-2 4.756626+2 5.432503-2 4.599072+2 5.821032-2 3.757527+2 5.956621-2 3.512744+2 6.095369-2 3.283923+2 6.382635-2 2.869659+2 6.683439-2 2.507703+2 6.760830-2 2.423758+2 7.079458-2 2.115183+2 7.161434-2 2.044380+2 7.498942-2 1.784108+2 7.585776-2 1.724339+2 7.852356-2 1.556790+2 7.943282-2 1.504643+2 8.511380-2 1.226484+2 8.810489-2 1.106409+2 9.120108-2 9.980823+1 9.332543-2 9.318277+1 9.440609-2 9.003427+1 1.000000-1 7.581912+1 1.011580-1 7.325773+1 1.071519-1 6.169297+1 1.083927-1 5.960925+1 1.109175-1 5.565082+1 1.135011-1 5.195546+1 1.148154-1 5.020072+1 1.174898-1 4.686719+1 1.188502-1 4.528153+1 1.244515-1 3.945782+1 1.258925-1 3.812256+1 1.303167-1 3.438176+1 1.364583-1 2.995940+1 1.396368-1 2.796647+1 1.412538-1 2.702026+1 1.428894-1 2.610614+1 1.445440-1 2.522299+1 1.531088-1 2.123585+1 1.566751-1 1.982355+1 1.603245-1 1.850532+1 1.621810-1 1.787944+1 1.640590-1 1.727476+1 1.659587-1 1.669054+1 1.678804-1 1.612609+1 1.698244-1 1.558075+1 1.757924-1 1.405338+1 1.798871-1 1.312660+1 1.819701-1 1.268640+1 1.862087-1 1.184989+1 1.905461-1 1.106855+1 1.949845-1 1.033875+1 2.000000-1 9.589626+0 2.065380-1 8.718241+0 2.089296-1 8.426027+0 2.113489-1 8.143613+0 2.137962-1 7.870668+0 2.162719-1 7.607158+0 2.213095-1 7.106330+0 2.238721-1 6.871314+0 2.344229-1 6.006505+0 2.371374-1 5.807901+0 2.398833-1 5.615869+0 2.426610-1 5.430228+0 2.540973-1 4.747057+0 2.570396-1 4.590156+0 2.600160-1 4.438645+0 2.630268-1 4.294279+0 2.660725-1 4.154623+0 2.691535-1 4.019509+0 2.722701-1 3.888796+0 2.818383-1 3.521612+0 2.851018-1 3.407120+0 2.917427-1 3.189203+0 3.000000-1 2.943690+0 3.000060-1 2.943521+0 3.019952-1 2.888292+0 3.054921-1 2.796013+0 3.126079-1 2.620207+0 3.198895-1 2.455455+0 3.235937-1 2.377011+0 3.273407-1 2.301084+0 3.311311-1 2.227602+0 3.349654-1 2.156470+0 3.388442-1 2.087609+0 3.427678-1 2.020949+0 3.467369-1 1.957672+0 3.548134-1 1.837000+0 3.589219-1 1.779490+0 3.630781-1 1.723783+0 3.672823-1 1.669823+0 3.715352-1 1.617552+0 3.758374-1 1.566932+0 3.801894-1 1.517899+0 3.845918-1 1.470401+0 3.890451-1 1.425321+0 3.981072-1 1.339442+0 4.000000-1 1.322406+0 4.027170-1 1.298468+0 4.073803-1 1.258747+0 4.168694-1 1.182914+0 4.216965-1 1.146741+0 4.265795-1 1.111676+0 4.315191-1 1.077687+0 4.365158-1 1.045449+0 4.415705-1 1.014243+0 4.623810-1 8.984740-1 4.677351-1 8.716590-1 4.731513-1 8.456565-1 4.786301-1 8.204314-1 4.841724-1 7.965092-1 4.897788-1 7.733370-1 5.011872-1 7.289990-1 5.128614-1 6.872030-1 5.188000-1 6.672154-1 5.248075-1 6.478167-1 5.308844-1 6.289835-1 5.370318-1 6.111483-1 5.432503-1 5.938617-1 5.559043-1 5.607442-1 5.623413-1 5.448849-1 5.688529-1 5.294761-1 5.754399-1 5.145034-1 5.821032-1 4.999600-1 5.888437-1 4.858283-1 5.956621-1 4.724503-1 6.025596-1 4.594774-1 6.095369-1 4.468618-1 6.165950-1 4.345944-1 6.237348-1 4.226638-1 6.309573-1 4.110609-1 6.382635-1 3.997814-1 6.456542-1 3.888122-1 6.531306-1 3.784303-1 6.606935-1 3.683258-1 6.683439-1 3.585203-1 6.839117-1 3.396854-1 6.998420-1 3.218403-1 7.079458-1 3.132764-1 7.085700-1 3.126303-1 7.161434-1 3.051970-1 7.244360-1 2.973478-1 7.498942-1 2.750542-1 7.673615-1 2.611285-1 7.762471-1 2.544354-1 7.852356-1 2.480978-1 7.943282-1 2.419181-1 8.000000-1 2.381764-1 8.035261-1 2.358989-1 8.317638-1 2.187534-1 8.511380-1 2.080212-1 8.609938-1 2.028569-1 8.810489-1 1.931422-1 9.015711-1 1.839226-1 9.225714-1 1.751431-1 9.332543-1 1.709132-1 9.440609-1 1.667878-1 9.549926-1 1.627622-1 9.772372-1 1.553134-1 9.885531-1 1.517183-1 1.011579+0 1.447776-1 1.035142+0 1.381572-1 1.059254+0 1.319879-1 1.083927+0 1.261075-1 1.109175+0 1.204899-1 1.135011+0 1.151233-1 1.161449+0 1.099957-1 1.174898+0 1.075981-1 1.188600+0 1.052368-1 1.202264+0 1.029675-1 1.273503+0 9.226165-2 1.288250+0 9.025788-2 1.303167+0 8.836084-2 1.318257+0 8.650376-2 1.333521+0 8.469156-2 1.380384+0 7.947935-2 1.428894+0 7.458791-2 1.445440+0 7.307393-2 1.462177+0 7.159084-2 1.479108+0 7.014247-2 1.513561+0 6.733318-2 1.531087+0 6.597103-2 1.603245+0 6.079244-2 1.621810+0 5.960182-2 1.640590+0 5.843461-2 1.659587+0 5.729424-2 1.717908+0 5.400494-2 1.737801+0 5.295109-2 1.798871+0 4.991140-2 1.819701+0 4.896950-2 1.840772+0 4.804544-2 1.862087+0 4.714194-2 1.927525+0 4.453208-2 1.949845+0 4.369473-2 2.000000+0 4.190281-2 2.018366+0 4.127601-2 2.044000+0 4.045425-2 2.065380+0 3.978907-2 2.089296+0 3.906833-2 2.162719+0 3.698349-2 2.187762+0 3.631364-2 2.264644+0 3.437603-2 2.290868+0 3.375339-2 2.317395+0 3.316175-2 2.344229+0 3.258053-2 2.371374+0 3.201143-2 2.454709+0 3.036310-2 2.483133+0 2.983280-2 2.570396+0 2.829680-2 2.600160+0 2.780257-2 2.630268+0 2.733248-2 2.660725+0 2.687036-2 2.691535+0 2.641757-2 2.818383+0 2.468144-2 2.851018+0 2.426558-2 2.951209+0 2.305956-2 2.985383+0 2.267102-2 3.019952+0 2.230116-2 3.054921+0 2.193735-2 3.090295+0 2.158067-2 3.273407+0 1.988239-2 3.311311+0 1.955915-2 3.427678+0 1.862063-2 3.467369+0 1.831790-2 3.507519+0 1.802960-2 3.548134+0 1.774586-2 3.589219+0 1.746752-2 3.801894+0 1.613992-2 3.845918+0 1.588679-2 4.000000+0 1.505262-2 4.027170+0 1.491335-2 4.073803+0 1.468671-2 4.120975+0 1.446353-2 4.168694+0 1.424444-2 4.466836+0 1.299787-2 4.518559+0 1.280100-2 4.731513+0 1.204289-2 4.786301+0 1.186577-2 4.841724+0 1.169125-2 4.954502+0 1.135091-2 5.370318+0 1.023585-2 5.432503+0 1.008578-2 5.688529+0 9.507165-3 5.754399+0 9.371874-3 5.821032+0 9.238516-3 5.956621+0 8.978271-3 6.456542+0 8.123804-3 6.531306+0 8.008574-3 6.839116+0 7.563773-3 6.918310+0 7.459443-3 7.000000+0 7.354556-3 7.244360+0 7.057175-3 7.852356+0 6.405156-3 7.943282+0 6.317069-3 8.035261+0 6.230195-3 8.413951+0 5.894484-3 8.511380+0 5.815597-3 8.609938+0 5.737769-3 8.709636+0 5.661190-3 9.015711+0 5.437555-3 9.660509+0 5.016438-3 9.772372+0 4.949498-3 9.885531+0 4.883452-3 1.059254+1 4.505275-3 1.071519+1 4.446693-3 1.083927+1 4.388870-3 1.100000+1 4.316223-3 1.109175+1 4.275764-3 1.148154+1 4.111559-3 1.216186+1 3.851780-3 1.230269+1 3.801830-3 1.258925+1 3.703870-3 1.364583+1 3.380457-3 1.380384+1 3.337594-3 1.396368+1 3.295276-3 1.412538+1 3.253581-3 1.428894+1 3.212421-3 1.479108+1 3.092037-3 1.621810+1 2.792611-3 1.640590+1 2.757283-3 1.678804+1 2.687965-3 1.778279+1 2.522199-3 1.800000+1 2.489223-3 1.819701+1 2.460079-3 1.840772+1 2.429628-3 1.972423+1 2.254678-3 2.213095+1 1.990639-3 2.238721+1 1.966001-3 2.264644+1 1.941668-3 2.344229+1 1.870459-3 2.371374+1 1.847667-3 2.400000+1 1.824243-3 2.483133+1 1.759377-3 2.851018+1 1.519029-3 3.162278+1 1.360571-3 3.198895+1 1.344019-3 3.235937+1 1.327668-3 3.273407+1 1.311772-3 3.311311+1 1.296070-3 3.507519+1 1.220469-3 4.216965+1 1.006936-3 4.623810+1 9.146177-4 4.677351+1 9.036896-4 4.731513+1 8.928924-4 4.841724+1 8.719584-4 4.897788+1 8.616787-4 4.954502+1 8.515206-4 5.432503+1 7.745442-4 7.079458+1 5.898529-4 7.673615+1 5.429235-4 7.762471+1 5.365315-4 7.852356+1 5.302148-4 8.000000+1 5.202595-4 8.035261+1 5.179366-4 8.128305+1 5.119057-4 8.222427+1 5.059450-4 8.317638+1 5.000540-4 9.549926+1 4.345547-4 1.364583+2 3.023663-4 1.496236+2 2.753501-4 1.513561+2 2.721476-4 1.531087+2 2.689823-4 1.566751+2 2.627615-4 1.584893+2 2.597272-4 1.603245+2 2.567280-4 1.621810+2 2.537636-4 1.640590+2 2.508335-4 1.659587+2 2.479374-4 1.905461+2 2.157051-4 2.722701+2 1.505280-4 2.985383+2 1.371817-4 3.019952+2 1.355989-4 3.054921+2 1.340344-4 3.126079+2 1.309592-4 3.162278+2 1.294545-4 3.198895+2 1.279671-4 3.235937+2 1.264969-4 3.273407+2 1.250436-4 3.311311+2 1.236070-4 3.801894+2 1.076082-4 1.083927+3 3.761403-5 1.188502+3 3.429403-5 1.202264+3 3.390019-5 1.216186+3 3.351086-5 1.244515+3 3.274558-5 1.258925+3 3.237054-5 1.273503+3 3.199977-5 1.288250+3 3.163326-5 1.303167+3 3.127096-5 1.318257+3 3.091281-5 1.513561+3 2.692287-5 1.000000+5 4.070032-7 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 1.272000-5 1.272000-5 1.343000-5 1.272000-5 1.343000-5 1.294082-5 2.150000-5 1.298385-5 2.744000-5 1.298622-5 2.744000-5 1.300123-5 3.101100-5 1.301835-5 3.388442-5 1.311602-5 3.670000-5 1.330639-5 3.920000-5 1.356258-5 4.168694-5 1.389877-5 4.466836-5 1.439686-5 4.850000-5 1.514690-5 5.500000-5 1.649394-5 5.900000-5 1.723436-5 6.237348-5 1.775693-5 6.606934-5 1.821125-5 7.000000-5 1.856513-5 7.328245-5 1.876812-5 7.800000-5 1.894860-5 8.317638-5 1.903164-5 9.015711-5 1.903158-5 9.398000-5 1.899780-5 9.398000-5 2.869287-5 9.535000-5 2.882044-5 9.535000-5 3.138279-5 9.900000-5 3.179593-5 1.015000-4 3.224417-5 1.045000-4 3.300957-5 1.115000-4 3.525546-5 1.150000-4 3.623756-5 1.190000-4 3.708623-5 1.235000-4 3.772496-5 1.295000-4 3.822817-5 1.380384-4 3.860069-5 1.548817-4 3.893610-5 1.862087-4 3.917067-5 2.069600-4 3.921190-5 2.069600-4 4.063009-5 2.151200-4 4.084758-5 2.151200-4 4.153152-5 2.450000-4 4.227605-5 2.781700-4 4.301377-5 2.781700-4 4.423598-5 2.951209-4 4.485187-5 3.273407-4 4.562886-5 4.265795-4 4.754771-5 5.370318-4 4.930872-5 6.850000-4 5.120268-5 8.709636-4 5.309146-5 1.083927-3 5.480124-5 1.350000-3 5.644137-5 1.673400-3 5.796866-5 1.673400-3 8.764310-5 1.695000-3 8.826558-5 1.728300-3 8.878094-5 1.728300-3 9.064565-5 1.729600-3 9.128303-5 1.732600-3 9.181985-5 1.743000-3 9.215170-5 1.819701-3 9.250145-5 1.902300-3 9.258835-5 1.902300-3 9.817083-5 2.344229-3 9.949785-5 3.548134-3 1.022146-4 5.188000-3 1.050097-4 7.413102-3 1.078100-4 1.023293-2 1.104258-4 1.400000-2 1.129371-4 1.428000-2 1.130915-4 1.428000-2 1.308268-4 2.570396-2 1.317008-4 5.956621-2 1.323712-4 2.238721-1 1.327837-4 1.000000+5 1.329060-4 1 36000 7 7 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.272000-5 0.0 9.535000-5 0.0 9.535000-5 1.961398-9 9.740000-5 1.996316-9 9.900000-5 2.019125-9 1.011579-4 2.060056-9 1.030000-4 2.106812-9 1.040000-4 2.137248-9 1.060000-4 2.207337-9 1.071519-4 2.252770-9 1.150000-4 2.590278-9 1.165000-4 2.650391-9 1.190000-4 2.741519-9 1.220000-4 2.832237-9 1.250000-4 2.907204-9 1.288250-4 2.980969-9 1.315000-4 3.021252-9 1.358000-4 3.070065-9 1.412538-4 3.112725-9 1.500000-4 3.157868-9 1.659587-4 3.208461-9 1.740000-4 3.228454-9 1.760000-4 3.228767-9 1.800000-4 3.239675-9 1.850000-4 3.246036-9 2.069600-4 3.268567-9 2.069600-4 3.738030-9 2.151200-4 3.813557-9 2.151200-4 4.136069-9 2.290868-4 4.276871-9 2.600160-4 4.558451-9 2.781700-4 4.714046-9 2.781700-4 5.102849-9 2.851018-4 5.207266-9 3.000000-4 5.377667-9 3.235937-4 5.591287-9 3.780000-4 6.017556-9 4.315191-4 6.395271-9 4.897788-4 6.765744-9 5.432503-4 7.071566-9 6.165950-4 7.451311-9 7.000000-4 7.833647-9 7.852356-4 8.176466-9 8.709636-4 8.490390-9 9.885531-4 8.868981-9 1.135011-3 9.269960-9 1.318257-3 9.688358-9 1.479108-3 9.997652-9 1.673400-3 1.031325-8 1.673400-3 2.358193-5 1.678000-3 2.375281-5 1.678804-3 2.374441-5 1.704000-3 2.420148-5 1.721000-3 2.440226-5 1.728300-3 2.444419-5 1.728300-3 2.613507-5 1.728510-3 2.618477-5 1.729500-3 2.672027-5 1.730150-3 2.683071-5 1.731000-3 2.701256-5 1.732600-3 2.719524-5 1.733800-3 2.728897-5 1.738000-3 2.742459-5 1.758000-3 2.760279-5 1.800000-3 2.773889-5 1.902300-3 2.778575-5 1.902300-3 2.844118-5 3.273407-3 2.854438-5 1.428000-2 2.832702-5 1.428000-2 7.138469-3 1.513561-2 7.161289-3 1.972423-2 7.227507-3 2.951209-2 7.293385-3 4.841724-2 7.338711-3 9.440609-2 7.365140-3 6.382635-1 7.378045-3 1.000000+5 7.382797-3 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.272000-5 0.0 1.343000-5 7.100000-7 1.343000-5 4.891819-7 1.570000-5 2.736729-6 2.113489-5 8.151715-6 2.744000-5 1.445378-5 2.744000-5 1.443877-5 3.135000-5 1.832456-5 3.470000-5 2.153908-5 3.785000-5 2.443630-5 4.168694-5 2.778817-5 4.650000-5 3.175580-5 5.688529-5 4.002794-5 6.237348-5 4.461655-5 6.850000-5 5.005754-5 7.500000-5 5.615398-5 8.650000-5 6.745560-5 9.398000-5 7.498220-5 9.398000-5 6.528713-5 9.535000-5 6.652956-5 9.535000-5 6.396525-5 1.005000-4 6.845413-5 1.050300-4 7.186067-5 1.115000-4 7.624210-5 1.165000-4 7.990628-5 1.220000-4 8.445366-5 1.295000-4 9.126884-5 1.465000-4 1.076928-4 2.069600-4 1.677448-4 2.069600-4 1.663262-4 2.151200-4 1.742686-4 2.151200-4 1.735843-4 2.781700-4 2.351515-4 2.781700-4 2.339289-4 3.935501-4 3.465945-4 8.317638-4 7.790237-4 1.673400-3 1.615421-3 1.673400-3 1.562175-3 1.728300-3 1.615075-3 1.728300-3 1.611519-3 1.744000-3 1.624340-3 1.902300-3 1.781926-3 1.902300-3 1.775688-3 1.428000-2 1.413858-2 1.428000-2 7.010704-3 1.513561-2 7.843374-3 2.187762-2 1.449814-2 5.128614-2 4.381158-2 1.000000+5 9.999999+4 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.428000-2 1.566760+4 1.441500-2 1.541467+4 1.475000-2 1.447480+4 1.513561-2 1.358999+4 1.621810-2 1.136616+4 1.757924-2 9.260383+3 1.949845-2 7.050310+3 2.238721-2 4.884305+3 2.818383-2 2.610740+3 3.507519-2 1.420326+3 4.365158-2 7.636609+2 5.370318-2 4.202617+2 6.683439-2 2.218756+2 8.511380-2 1.086294+2 1.174898-1 4.154613+1 1.757924-1 1.246340+1 2.213095-1 6.303324+0 2.600160-1 3.937350+0 3.019952-1 2.562170+0 3.427678-1 1.792878+0 3.845918-1 1.304494+0 4.315191-1 9.561612-1 4.786301-1 7.279617-1 5.308844-1 5.581220-1 5.888437-1 4.311218-1 6.456542-1 3.450359-1 7.085700-1 2.774578-1 7.762471-1 2.258654-1 8.609938-1 1.801389-1 9.549926-1 1.445371-1 1.035142+0 1.226769-1 1.161449+0 9.766875-2 1.288250+0 8.014274-2 1.428894+0 6.623014-2 1.603245+0 5.398070-2 1.798871+0 4.431884-2 2.018366+0 3.665123-2 2.290868+0 2.997168-2 2.600160+0 2.468770-2 2.985383+0 2.013101-2 3.467369+0 1.626547-2 4.027170+0 1.324239-2 4.731513+0 1.069365-2 5.688529+0 8.442024-3 6.839116+0 6.716391-3 8.413951+0 5.234124-3 1.059254+1 4.000557-3 1.364583+1 3.001754-3 1.778279+1 2.239680-3 2.344229+1 1.660946-3 3.235937+1 1.178960-3 4.731513+1 7.928625-4 7.852356+1 4.708167-4 1.566751+2 2.333274-4 3.126079+2 1.162909-4 1.244515+3 2.907790-5 1.000000+5 3.614200-7 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.428000-2 1.337500-4 1.000000+5 1.337500-4 1 36000 7 7 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.428000-2 8.310400-3 1.000000+5 8.310400-3 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.428000-2 5.835850-3 1.000000+5 9.999999+4 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.902300-3 6.859873+4 2.041738-3 6.278341+4 2.137962-3 5.843268+4 2.264644-3 5.327112+4 2.917427-3 3.472720+4 3.162278-3 3.019304+4 3.507519-3 2.496543+4 4.027170-3 1.928449+4 4.500000-3 1.553606+4 5.188000-3 1.169836+4 5.956621-3 8.795167+3 6.683439-3 6.895971+3 7.762471-3 4.983520+3 8.912509-3 3.663115+3 1.011579-2 2.745395+3 1.174898-2 1.937456+3 1.364583-2 1.356283+3 1.603245-2 9.157309+2 1.883649-2 6.129473+2 2.213095-2 4.069006+2 2.570396-2 2.761600+2 3.019952-2 1.805875+2 3.589219-2 1.136282+2 4.265795-2 7.092690+1 5.069907-2 4.394271+1 6.095369-2 2.617344+1 7.498942-2 1.449219+1 9.332543-2 7.703515+0 1.244515-1 3.323866+0 1.698244-1 1.335245+0 2.137962-1 6.809214-1 2.570396-1 4.000846-1 3.000060-1 2.579032-1 3.427678-1 1.776998-1 3.890451-1 1.256298-1 4.365158-1 9.232266-2 4.841724-1 7.044794-2 5.370318-1 5.412642-2 5.956621-1 4.189092-2 6.606935-1 3.268644-2 7.244360-1 2.639461-2 8.000000-1 2.111685-2 8.810489-1 1.711068-2 9.549926-1 1.444622-2 1.059254+0 1.172220-2 1.188600+0 9.347246-3 1.318257+0 7.682692-3 1.462177+0 6.355910-3 1.640590+0 5.187189-3 1.840772+0 4.265204-3 2.065380+0 3.532179-3 2.344229+0 2.892239-3 2.660725+0 2.385343-3 3.054921+0 1.947531-3 3.548134+0 1.575572-3 4.120975+0 1.284204-3 4.841724+0 1.038039-3 5.821032+0 8.202538-4 7.000000+0 6.530100-4 8.609938+0 5.094537-4 1.083927+1 3.896944-4 1.396368+1 2.926167-4 1.800000+1 2.210700-4 2.371374+1 1.641026-4 3.311311+1 1.150832-4 4.954502+1 7.561345-5 8.317638+1 4.440180-5 1.659587+2 2.201798-5 3.311311+2 1.097730-5 1.318257+3 2.745494-6 1.000000+5 3.615000-8 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.902300-3 1.383200-4 1.000000+5 1.383200-4 1 36000 7 7 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.902300-3 3.315500-5 1.000000+5 3.315500-5 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.902300-3 1.730825-3 1.000000+5 1.000000+5 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.728300-3 7.633900+4 1.728510-3 7.891900+4 1.728700-3 8.471300+4 1.728900-3 9.088500+4 1.729100-3 9.708200+4 1.729400-3 1.063700+5 1.729500-3 1.089213+5 1.729600-3 1.083667+5 1.730000-3 1.139723+5 1.730150-3 1.154217+5 1.730300-3 1.183668+5 1.730600-3 1.228240+5 1.730700-3 1.237408+5 1.730850-3 1.246627+5 1.731000-3 1.265309+5 1.731200-3 1.284274+5 1.731350-3 1.293843+5 1.731500-3 1.313219+5 1.731650-3 1.323026+5 1.731800-3 1.336129+5 1.732000-3 1.348419+5 1.732150-3 1.354594+5 1.732500-3 1.379607+5 1.732600-3 1.379062+5 1.732850-3 1.388713+5 1.733200-3 1.408214+5 1.733350-3 1.413127+5 1.733500-3 1.423011+5 1.733650-3 1.427980+5 1.733800-3 1.437968+5 1.736500-3 1.496557+5 1.738000-3 1.517120+5 1.743000-3 1.543093+5 1.751000-3 1.572565+5 1.758000-3 1.589896+5 1.768000-3 1.593819+5 1.772000-3 1.597875+5 1.787000-3 1.600700+5 1.798000-3 1.589300+5 1.840772-3 1.504100+5 1.890000-3 1.425900+5 2.041738-3 1.172800+5 2.540973-3 6.616200+4 2.884032-3 4.710000+4 3.507519-3 2.733300+4 3.890451-3 2.032800+4 4.518559-3 1.317300+4 5.370318-3 7.889300+3 6.095369-3 5.379100+3 7.079458-3 3.397300+3 8.317638-3 2.052600+3 9.772372-3 1.229600+3 1.135011-2 7.585000+2 1.333521-2 4.475600+2 1.580000-2 2.549200+2 1.862087-2 1.467600+2 2.238721-2 7.841800+1 2.722701-2 3.996800+1 3.349654-2 1.942500+1 4.265795-2 8.301700+0 5.956621-2 2.541500+0 9.440609-2 4.950200-1 1.188502-1 2.198300-1 1.428894-1 1.156000-1 1.678804-1 6.633000-2 1.949845-1 3.989001-2 2.238721-1 2.511966-2 2.540973-1 1.655870-2 2.851018-1 1.141237-2 3.198895-1 7.920172-3 3.589219-1 5.536714-3 3.981072-1 4.040150-3 4.415705-1 2.969901-3 4.897788-1 2.202215-3 5.432503-1 1.646037-3 6.025596-1 1.240188-3 6.606935-1 9.704540-4 7.244360-1 7.644521-4 7.943282-1 6.063596-4 8.609938-1 4.962371-4 9.225714-1 4.207232-4 9.772372-1 3.690158-4 1.035142+0 3.258660-4 1.109175+0 2.825216-4 1.188600+0 2.466533-4 1.318257+0 2.037227-4 1.479108+0 1.659800-4 1.717908+0 1.279289-4 1.927525+0 1.054305-4 2.162719+0 8.753655-5 2.454709+0 7.187056-5 2.818383+0 5.842119-5 3.273407+0 4.706202-5 3.801894+0 3.820749-5 4.466836+0 3.076990-5 5.370318+0 2.423079-5 6.456542+0 1.923155-5 7.852356+0 1.516282-5 9.660509+0 1.187435-5 1.216186+1 9.116939-6 1.621810+1 6.610232-6 2.213095+1 4.713112-6 3.162278+1 3.222521-6 4.677351+1 2.140807-6 7.673615+1 1.286092-6 1.496236+2 6.522462-7 2.985383+2 3.249924-7 1.188502+3 8.124485-8 1.000000+5 9.64270-10 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.728300-3 1.014200-4 1.000000+5 1.014200-4 1 36000 7 7 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.728300-3 3.590500-5 1.000000+5 3.590500-5 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.728300-3 1.590975-3 1.000000+5 1.000000+5 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.673400-3 3.143659+5 1.675200-3 3.178623+5 1.678000-3 3.208274+5 1.678150-3 3.196683+5 1.695000-3 3.288170+5 1.704000-3 3.322488+5 1.714000-3 3.345425+5 1.721000-3 3.352691+5 1.729000-3 3.340410+5 1.744000-3 3.300904+5 1.785000-3 3.122000+5 1.835000-3 2.946844+5 1.870000-3 2.810060+5 2.000000-3 2.359144+5 2.454709-3 1.371430+5 2.754229-3 1.004148+5 3.349654-3 5.800389+4 3.672823-3 4.452603+4 4.365158-3 2.686748+4 5.011872-3 1.776624+4 5.688529-3 1.209327+4 6.606934-3 7.614074+3 7.673615-3 4.755339+3 8.912509-3 2.947138+3 1.035142-2 1.812858+3 1.202264-2 1.107182+3 1.400000-2 6.657640+2 1.640590-2 3.892146+2 1.927525-2 2.239823+2 2.300000-2 1.212988+2 2.754229-2 6.438248+1 3.349654-2 3.210457+1 4.120975-2 1.524783+1 5.432503-2 5.595434+0 1.071519-1 4.677354-1 1.303167-1 2.301817-1 1.566751-1 1.189905-1 1.819701-1 7.009154-2 2.065380-1 4.509921-2 2.344229-1 2.923396-2 2.630268-1 1.985913-2 2.917427-1 1.412134-2 3.235937-1 1.011685-2 3.548134-1 7.572713-3 3.890451-1 5.707153-3 4.265795-1 4.333528-3 4.677351-1 3.315462-3 5.128614-1 2.555723-3 5.623413-1 1.985150-3 6.095369-1 1.602096-3 6.606935-1 1.301760-3 7.161434-1 1.065423-3 7.762471-1 8.775353-4 8.609938-1 6.894462-4 9.225714-1 5.895189-4 9.885531-1 5.075407-4 1.083927+0 4.199904-4 1.174898+0 3.580776-4 1.288250+0 3.009204-4 1.428894+0 2.492634-4 1.640590+0 1.954709-4 1.840772+0 1.606888-4 2.065380+0 1.330517-4 2.344229+0 1.089502-4 2.660725+0 8.985571-5 3.054921+0 7.336158-5 3.548134+0 5.934805-5 4.120975+0 4.837194-5 4.841724+0 3.910035-5 5.821032+0 3.089790-5 7.000000+0 2.459700-5 8.709636+0 1.893106-5 1.100000+1 1.443300-5 1.412538+1 1.088219-5 1.819701+1 8.228883-6 2.400000+1 6.102500-6 3.311311+1 4.335205-6 4.897788+1 2.882323-6 8.222427+1 1.692302-6 1.640590+2 8.390908-7 3.273407+2 4.183121-7 1.303167+3 1.046150-7 1.000000+5 1.361700-9 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.673400-3 9.857300-5 1.000000+5 9.857300-5 1 36000 7 7 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.673400-3 3.226400-5 1.000000+5 3.226400-5 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.673400-3 1.542563-3 1.000000+5 1.000000+5 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.781700-4 1.620462+5 2.792000-4 1.656760+5 2.803000-4 1.689268+5 2.825000-4 1.739352+5 2.851018-4 1.782830+5 2.884032-4 1.823998+5 2.920000-4 1.856384+5 2.965000-4 1.883532+5 3.000000-4 1.895880+5 3.054921-4 1.901762+5 3.100000-4 1.896250+5 3.162278-4 1.876989+5 3.240000-4 1.840962+5 3.600000-4 1.655782+5 4.027170-4 1.494000+5 4.265795-4 1.407830+5 4.600000-4 1.290822+5 5.308844-4 1.085283+5 5.754399-4 9.786213+4 6.456542-4 8.359840+4 7.328245-4 6.986255+4 8.222426-4 5.884016+4 9.500000-4 4.708780+4 1.083927-3 3.809862+4 1.244515-3 3.031552+4 1.462177-3 2.300842+4 1.678804-3 1.803629+4 1.950000-3 1.375788+4 2.264644-3 1.042358+4 2.660725-3 7.668249+3 3.126079-3 5.596077+3 3.672823-3 4.051300+3 4.265795-3 2.980559+3 5.011872-3 2.126070+3 5.888437-3 1.505123+3 6.918310-3 1.057524+3 8.128305-3 7.373723+2 9.549926-3 5.101347+2 1.109175-2 3.597605+2 1.303167-2 2.450858+2 1.513561-2 1.703816+2 1.778279-2 1.142956+2 2.089296-2 7.607956+1 2.454709-2 5.025814+1 2.884032-2 3.295788+1 3.427678-2 2.080652+1 4.073803-2 1.303273+1 4.841724-2 8.102345+0 5.821032-2 4.842645+0 7.079458-2 2.780953+0 8.810489-2 1.483855+0 1.135011-1 7.109127-1 1.949845-1 1.460931-1 2.398833-1 8.008384-2 2.818383-1 5.050667-2 3.273407-1 3.315831-2 3.715352-1 2.338728-2 4.168694-1 1.714336-2 4.677351-1 1.265987-2 5.188000-1 9.704661-3 5.754399-1 7.493394-3 6.309573-1 5.993525-3 6.998420-1 4.697636-3 7.673615-1 3.808874-3 8.511380-1 3.030378-3 9.332543-1 2.491295-3 1.011579+0 2.112888-3 1.161449+0 1.607156-3 1.288250+0 1.318685-3 1.428894+0 1.089378-3 1.603245+0 8.876793-4 1.798871+0 7.288186-4 2.018366+0 6.027388-4 2.290868+0 4.928783-4 2.600160+0 4.059833-4 2.985383+0 3.310551-4 3.467369+0 2.674933-4 4.027170+0 2.177796-4 4.731513+0 1.758566-4 5.688529+0 1.388318-4 6.839116+0 1.104487-4 8.413951+0 8.607714-5 1.059254+1 6.579159-5 1.364583+1 4.936498-5 1.778279+1 3.683283-5 2.344229+1 2.731511-5 3.273407+1 1.915354-5 4.841724+1 1.273173-5 8.035261+1 7.562627-6 1.603245+2 3.748818-6 3.198895+2 1.868695-6 1.273503+3 4.672889-7 1.000000+5 5.943600-9 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.781700-4 7.979300-5 1.000000+5 7.979300-5 1 36000 7 7 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.781700-4 1.641400-8 1.000000+5 1.641400-8 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.781700-4 1.983606-4 1.000000+5 1.000000+5 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 2.151200-4 1.536227+5 2.600160-4 1.945800+5 2.630268-4 1.970610+5 2.730000-4 2.022660+5 2.818383-4 2.053955+5 2.917427-4 2.073413+5 3.050000-4 2.081180+5 3.235937-4 2.073077+5 3.430000-4 2.051560+5 3.600000-4 2.021500+5 3.780000-4 1.978370+5 3.935501-4 1.932138+5 4.168694-4 1.853797+5 4.466836-4 1.750178+5 4.786301-4 1.641617+5 5.069907-4 1.546971+5 5.400000-4 1.439492+5 5.821032-4 1.311135+5 6.309573-4 1.178011+5 6.850000-4 1.048570+5 7.413102-4 9.306201+4 8.128305-4 8.035131+4 8.912509-4 6.887708+4 9.772372-4 5.857478+4 1.083927-3 4.841071+4 1.190000-3 4.048800+4 1.318257-3 3.301497+4 1.450000-3 2.713380+4 1.621810-3 2.136218+4 1.800000-3 1.697506+4 2.018366-3 1.308004+4 2.264644-3 9.981884+3 2.511886-3 7.773401+3 2.818383-3 5.845088+3 3.162278-3 4.362890+3 3.548134-3 3.233570+3 4.027170-3 2.307661+3 4.570882-3 1.633994+3 5.188000-3 1.148364+3 5.888437-3 8.012506+2 6.760830-3 5.367248+2 7.762471-3 3.566198+2 8.912509-3 2.350520+2 1.023293-2 1.537718+2 1.174898-2 9.984428+1 1.364583-2 6.203978+1 1.584893-2 3.825147+1 1.862087-2 2.254198+1 2.187762-2 1.318445+1 2.600160-2 7.365610+0 3.126079-2 3.927528+0 3.845918-2 1.919873+0 4.841724-2 8.596549-1 6.760830-2 2.655791-1 1.000000-1 6.684097-2 1.258925-1 2.990198-2 1.531088-1 1.520549-2 1.798871-1 8.770470-3 2.089296-1 5.300954-3 2.371374-1 3.485442-3 2.691535-1 2.308126-3 3.019952-1 1.597914-3 3.388442-1 1.114465-3 3.758374-1 8.112078-4 4.168694-1 5.945018-4 4.623810-1 4.388265-4 5.128614-1 3.263217-4 5.688529-1 2.445422-4 6.237348-1 1.905869-4 6.839117-1 1.495977-4 7.498942-1 1.182262-4 8.609938-1 8.376591-5 9.225714-1 7.097767-5 9.772372-1 6.222458-5 1.035142+0 5.492660-5 1.109175+0 4.760804-5 1.188600+0 4.156200-5 1.318257+0 3.433529-5 1.479108+0 2.798249-5 1.717908+0 2.157108-5 1.927525+0 1.777640-5 2.162719+0 1.475674-5 2.454709+0 1.211535-5 2.818383+0 9.849050-6 3.273407+0 7.934470-6 3.801894+0 6.441609-6 4.466836+0 5.187651-6 5.370318+0 4.085139-6 6.456542+0 3.242388-6 7.943282+0 2.521435-6 9.772372+0 1.975348-6 1.230269+1 1.517136-6 1.640590+1 1.100420-6 2.238721+1 7.848635-7 3.162278+1 5.433163-7 4.677351+1 3.609265-7 7.762471+1 2.142896-7 1.531087+2 1.074352-7 3.054921+2 5.353750-8 1.216186+3 1.338507-8 1.000000+5 1.62570-10 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 2.151200-4 6.788500-5 1.000000+5 6.788500-5 1 36000 7 7 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.151200-4 1.656300-8 1.000000+5 1.656300-8 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.151200-4 1.472184-4 1.000000+5 1.000000+5 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.069600-4 3.304073+5 2.113489-4 3.553922+5 2.180000-4 3.831742+5 2.240000-4 4.033902+5 2.270000-4 4.118558+5 2.330000-4 4.270726+5 2.380000-4 4.347315+5 2.580000-4 4.570040+5 2.660725-4 4.635494+5 2.754229-4 4.678121+5 2.851018-4 4.689460+5 2.985383-4 4.668719+5 3.162278-4 4.609151+5 3.350000-4 4.524760+5 3.550000-4 4.410440+5 3.715352-4 4.294807+5 3.890451-4 4.155936+5 4.120975-4 3.960779+5 4.415704-4 3.712234+5 4.731513-4 3.458299+5 5.011872-4 3.242523+5 5.370318-4 2.979052+5 5.821032-4 2.676129+5 6.382635-4 2.349893+5 6.918310-4 2.081974+5 7.500000-4 1.830548+5 8.317638-4 1.539869+5 9.015711-4 1.337621+5 9.885531-4 1.130397+5 1.096478-3 9.285843+4 1.202264-3 7.740752+4 1.333521-3 6.261501+4 1.479108-3 5.027496+4 1.650000-3 3.956080+4 1.819701-3 3.171885+4 2.041738-3 2.426769+4 2.264644-3 1.893618+4 2.511886-3 1.468641+4 2.818383-3 1.099187+4 3.198895-3 7.923378+3 3.589219-3 5.840745+3 4.073803-3 4.143424+3 4.623810-3 2.916492+3 5.248075-3 2.037240+3 5.956621-3 1.412906+3 6.839116-3 9.399085+2 7.762471-3 6.423548+2 8.810489-3 4.358910+2 1.011579-2 2.834377+2 1.161449-2 1.828759+2 1.333521-2 1.171193+2 1.548817-2 7.170319+1 1.798871-2 4.356104+1 2.113489-2 2.526609+1 2.483133-2 1.454327+1 2.951209-2 7.984844+0 3.548134-2 4.178143+0 4.315191-2 2.083104+0 5.370318-2 9.494219-1 1.109175-1 6.837241-2 1.364583-1 3.242920-2 1.621810-1 1.753958-2 1.862087-1 1.079610-2 2.137962-1 6.695135-3 2.398833-1 4.526904-3 2.691535-1 3.083297-3 3.000000-1 2.163297-3 3.311311-1 1.578331-3 3.630781-1 1.183911-3 4.000000-1 8.814288-4 4.365158-1 6.801390-4 4.786301-1 5.213430-4 5.188000-1 4.158951-4 5.623413-1 3.339086-4 6.095369-1 2.697939-4 6.606935-1 2.194123-4 7.161434-1 1.795691-4 7.762471-1 1.478797-4 8.609938-1 1.160326-4 9.225714-1 9.934078-5 9.885531-1 8.561793-5 1.083927+0 7.089364-5 1.174898+0 6.045528-5 1.288250+0 5.079566-5 1.428894+0 4.206139-5 1.640590+0 3.297634-5 1.840772+0 2.710891-5 2.065380+0 2.244775-5 2.344229+0 1.838195-5 2.660725+0 1.516012-5 3.054921+0 1.237693-5 3.548134+0 1.001266-5 4.120975+0 8.160897-6 4.841724+0 6.596755-6 5.821032+0 5.212775-6 7.000000+0 4.149900-6 8.709636+0 3.193868-6 1.109175+1 2.412061-6 1.428894+1 1.812507-6 1.840772+1 1.370920-6 2.483133+1 9.926506-7 3.507519+1 6.884554-7 5.432503+1 4.368820-7 9.549926+1 2.450880-7 1.905461+2 1.216865-7 3.801894+2 6.071057-8 1.513561+3 1.519360-8 1.000000+5 2.29740-10 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.069600-4 6.522300-5 1.000000+5 6.522300-5 1 36000 7 7 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.069600-4 1.187900-8 1.000000+5 1.187900-8 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.069600-4 1.417251-4 1.000000+5 1.000000+5 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 9.535000-5 2.206544+5 9.800000-5 2.292612+5 9.900000-5 2.335676+5 1.000000-4 2.389196+5 1.011579-4 2.467859+5 1.023293-4 2.570475+5 1.030000-4 2.641148+5 1.040000-4 2.764404+5 1.050300-4 2.915610+5 1.060000-4 3.082728+5 1.071519-4 3.314682+5 1.085000-4 3.635524+5 1.100000-4 4.058760+5 1.115000-4 4.553560+5 1.162800-4 6.582900+5 1.180000-4 7.450400+5 1.190000-4 7.977440+5 1.205000-4 8.787400+5 1.220000-4 9.609280+5 1.235000-4 1.043044+6 1.250000-4 1.123720+6 1.265000-4 1.202132+6 1.280000-4 1.277364+6 1.295000-4 1.349032+6 1.315000-4 1.438412+6 1.335000-4 1.520660+6 1.358000-4 1.606612+6 1.380384-4 1.682166+6 1.400000-4 1.742496+6 1.430000-4 1.825616+6 1.465000-4 1.910888+6 1.500000-4 1.985872+6 1.548817-4 2.076105+6 1.600000-4 2.154736+6 1.650000-4 2.216180+6 1.698244-4 2.261028+6 1.740000-4 2.288436+6 1.800000-4 2.309372+6 1.862087-4 2.310140+6 1.927525-4 2.291611+6 2.000000-4 2.253952+6 2.080000-4 2.197896+6 2.162719-4 2.129744+6 2.264644-4 2.038451+6 2.400000-4 1.913644+6 2.511886-4 1.810599+6 2.630268-4 1.701975+6 2.754229-4 1.589319+6 2.900000-4 1.461092+6 3.054921-4 1.333358+6 3.273407-4 1.171059+6 3.507519-4 1.021257+6 3.780000-4 8.740920+5 4.027170-4 7.613096+5 4.315191-4 6.503400+5 4.700000-4 5.309080+5 5.188000-4 4.166592+5 5.650000-4 3.354824+5 6.165950-4 2.666897+5 6.839116-4 2.014828+5 7.500000-4 1.559744+5 8.317638-4 1.160168+5 9.225714-4 8.561069+4 1.011579-3 6.495981+4 1.135011-3 4.562060+4 1.273503-3 3.178844+4 1.450000-3 2.094868+4 1.640590-3 1.396362+4 1.862087-3 9.130121+3 2.100000-3 6.048680+3 2.344229-3 4.122270+3 2.630268-3 2.740873+3 2.951209-3 1.810248+3 3.349654-3 1.138714+3 3.801894-3 7.108337+2 4.365158-3 4.217228+2 5.000000-3 2.504528+2 5.688529-3 1.515577+2 6.531306-3 8.783032+1 7.498942-3 5.050187+1 8.609938-3 2.881649+1 9.885531-3 1.632034+1 1.148154-2 8.744566+0 1.348963-2 4.429367+0 1.621810-2 2.018686+0 1.972423-2 8.689444-1 2.454709-2 3.361853-1 3.000000-2 1.398063-1 5.956621-2 6.801846-3 7.585776-2 2.354547-3 9.120108-2 1.056307-3 1.083927-1 5.018963-4 1.258925-1 2.652585-4 1.445440-1 1.483095-4 1.640590-1 8.765055-5 1.862087-1 5.219078-5 2.113489-1 3.132572-5 2.344229-1 2.076693-5 2.600160-1 1.386413-5 2.851018-1 9.744963-6 3.126079-1 6.894977-6 3.427678-1 4.911622-6 3.801894-1 3.378909-6 4.265795-1 2.247651-6 4.677351-1 1.632975-6 5.128614-1 1.195101-6 5.559043-1 9.154513-7 6.025596-1 7.058222-7 6.531306-1 5.483056-7 7.079458-1 4.289155-7 7.673615-1 3.378300-7 8.035261-1 2.954717-7 8.511380-1 2.491588-7 9.015711-1 2.115628-7 9.440609-1 1.868411-7 9.885531-1 1.661991-7 1.035142+0 1.490556-7 1.083927+0 1.346285-7 1.135011+0 1.223650-7 1.188600+0 1.118300-7 1.273503+0 9.859780-8 1.380384+0 8.573726-8 1.513561+0 7.345278-8 1.798871+0 5.454190-8 2.000000+0 4.571900-8 2.264644+0 3.750481-8 2.570396+0 3.087336-8 2.951209+0 2.515970-8 3.427678+0 2.031687-8 4.000000+0 1.642600-8 4.731513+0 1.314357-8 5.688529+0 1.037592-8 6.839116+0 8.254910-9 8.413951+0 6.433120-9 1.059254+1 4.917041-9 1.364583+1 3.689350-9 1.778279+1 2.752740-9 2.344229+1 2.041391-9 3.273407+1 1.431406-9 4.897788+1 9.40265-10 8.128305+1 5.58592-10 1.621810+2 2.76929-10 3.235937+2 1.38049-10 1.288250+3 3.45234-11 1.000000+5 4.44210-13 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 9.535000-5 3.991600-5 1.000000+5 3.991600-5 1 36000 7 7 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 9.535000-5 8.493300-9 1.000000+5 8.493300-9 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 9.535000-5 5.542551-5 1.000000+5 1.000000+5 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 9.398000-5 3.365322+5 9.630000-5 3.461412+5 9.740000-5 3.522708+5 9.850000-5 3.604542+5 9.960000-5 3.711732+5 1.005000-4 3.822126+5 1.015000-4 3.972474+5 1.025000-4 4.155414+5 1.035142-4 4.377803+5 1.045000-4 4.632624+5 1.055000-4 4.933014+5 1.066900-4 5.349010+5 1.080000-4 5.884332+5 1.096478-4 6.676858+5 1.150000-4 1.012644+6 1.165000-4 1.128942+6 1.180000-4 1.250682+6 1.194000-4 1.367352+6 1.205000-4 1.459938+6 1.220000-4 1.585866+6 1.235000-4 1.709784+6 1.250000-4 1.830108+6 1.265000-4 1.945668+6 1.280000-4 2.055600+6 1.295000-4 2.159442+6 1.315000-4 2.288136+6 1.335000-4 2.405838+6 1.358000-4 2.528532+6 1.380384-4 2.636233+6 1.400000-4 2.722206+6 1.430000-4 2.840760+6 1.465000-4 2.962506+6 1.500000-4 3.069486+6 1.548817-4 3.197615+6 1.600000-4 3.307728+6 1.650000-4 3.392022+6 1.705000-4 3.457656+6 1.760000-4 3.495354+6 1.820000-4 3.506520+6 1.880000-4 3.490116+6 1.950000-4 3.443028+6 2.018366-4 3.375887+6 2.089296-4 3.291698+6 2.194200-4 3.152385+6 2.317395-4 2.979682+6 2.450000-4 2.791230+6 2.580000-4 2.607384+6 2.691535-4 2.452138+6 2.818383-4 2.280201+6 2.951209-4 2.107753+6 3.126079-4 1.897438+6 3.350000-4 1.659390+6 3.630781-4 1.408523+6 3.890451-4 1.215033+6 4.168694-4 1.040225+6 4.518559-4 8.609994+5 4.954502-4 6.882055+5 5.432503-4 5.462180+5 5.888437-4 4.430628+5 6.531306-4 3.355799+5 7.161434-4 2.604015+5 7.852356-4 2.007379+5 8.709636-4 1.485200+5 9.549926-4 1.129874+5 1.059254-3 8.247687+4 1.202264-3 5.561346+4 1.350000-3 3.843882+4 1.531087-3 2.551180+4 1.737801-3 1.673479+4 1.972423-3 1.087951+4 2.213095-3 7.298766+3 2.483133-3 4.861010+3 2.754229-3 3.352600+3 3.126079-3 2.113081+3 3.548134-3 1.321674+3 4.027170-3 8.205933+2 4.570882-3 5.058977+2 5.248075-3 2.961462+2 6.000000-3 1.749000+2 6.839116-3 1.037415+2 7.762471-3 6.215488+1 8.912509-3 3.526936+1 1.023293-2 1.985962+1 1.188502-2 1.057558+1 1.396368-2 5.321513+0 1.659587-2 2.529171+0 2.018366-2 1.079483+0 2.426610-2 4.812096-1 3.162278-2 1.492931-1 4.073803-2 4.840832-2 6.382635-2 6.478548-3 7.852356-2 2.576664-3 9.332543-2 1.203130-3 1.083927-1 6.261053-4 1.244515-1 3.450277-4 1.412538-1 2.012290-4 1.603245-1 1.182537-4 1.798871-1 7.348908-5 2.000000-1 4.777934-5 2.213095-1 3.190604-5 2.426610-1 2.224522-5 2.660725-1 1.561492-5 2.917427-1 1.103958-5 3.198895-1 7.862672-6 3.467369-1 5.880868-6 3.758374-1 4.428370-6 4.073803-1 3.359152-6 4.365158-1 2.667375-6 4.677351-1 2.131248-6 5.011872-1 1.714262-6 5.432503-1 1.344014-6 5.956621-1 1.026458-6 6.606935-1 7.605028-7 7.161434-1 6.065733-7 7.673615-1 5.032088-7 8.317638-1 4.080892-7 8.810489-1 3.533296-7 9.332543-1 3.077526-7 9.885531-1 2.699477-7 1.059254+0 2.328563-7 1.135011+0 2.023041-7 1.202264+0 1.809934-7 1.333521+0 1.496414-7 1.531087+0 1.171994-7 1.737801+0 9.411537-8 1.949845+0 7.761702-8 2.187762+0 6.448893-8 2.483133+0 5.298298-8 2.851018+0 4.309662-8 3.311311+0 3.473828-8 3.845918+0 2.821825-8 4.518559+0 2.273759-8 5.432503+0 1.791430-8 6.531306+0 1.422591-8 8.035261+0 1.106772-8 9.885531+0 8.673839-9 1.258925+1 6.577923-9 1.678804+1 4.774748-9 2.264644+1 3.449982-9 3.198895+1 2.388577-9 4.677351+1 1.606131-9 7.762471+1 9.53605-10 1.531087+2 4.78087-10 3.054921+2 2.38250-10 1.216186+3 5.95656-11 1.000000+5 7.23470-13 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 9.398000-5 4.010900-5 1.000000+5 4.010900-5 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 9.398000-5 5.387100-5 1.000000+5 1.000000+5 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 2.744000-5 1.033514+4 2.754229-5 9.726366+3 2.775000-5 8.539400+3 2.791000-5 7.784220+3 2.806000-5 7.191680+3 2.818383-5 6.785789+3 2.828000-5 6.518040+3 2.840000-5 6.242260+3 2.851018-5 6.045938+3 2.862000-5 5.901540+3 2.873000-5 5.805980+3 2.884032-5 5.757938+3 2.892000-5 5.752380+3 2.903000-5 5.784440+3 2.915000-5 5.870240+3 2.926000-5 5.993640+3 2.937000-5 6.158260+3 2.948000-5 6.362340+3 2.960000-5 6.629080+3 2.975000-5 7.023760+3 2.990000-5 7.484380+3 3.010000-5 8.196240+3 3.040000-5 9.458860+3 3.101100-5 1.267482+4 3.135000-5 1.478188+4 3.162278-5 1.662173+4 3.190400-5 1.863944+4 3.220000-5 2.088240+4 3.245000-5 2.286180+4 3.280000-5 2.575040+4 3.315000-5 2.875800+4 3.350000-5 3.186740+4 3.388442-5 3.538109+4 3.427678-5 3.905476+4 3.470000-5 4.309520+4 3.520000-5 4.794400+4 3.570000-5 5.284620+4 3.610000-5 5.678920+4 3.670000-5 6.270680+4 3.730000-5 6.859980+4 3.785000-5 7.395420+4 3.850000-5 8.019620+4 3.920000-5 8.678860+4 4.000000-5 9.411800+4 4.073803-5 1.006697+5 4.168694-5 1.087569+5 4.265795-5 1.166288+5 4.365158-5 1.242342+5 4.466836-5 1.315327+5 4.570882-5 1.384920+5 4.680000-5 1.452422+5 4.800000-5 1.520322+5 4.954502-5 1.598334+5 5.128614-5 1.674217+5 5.308844-5 1.740240+5 5.500000-5 1.797472+5 5.688529-5 1.842215+5 5.900000-5 1.880082+5 6.150000-5 1.910226+5 6.400000-5 1.926890+5 6.683439-5 1.932250+5 7.000000-5 1.924490+5 7.328245-5 1.904585+5 7.762471-5 1.865000+5 8.222426-5 1.812329+5 8.709636-5 1.749441+5 9.332543-5 1.664773+5 1.011579-4 1.558175+5 1.109175-4 1.432427+5 1.220000-4 1.302992+5 1.355400-4 1.164257+5 1.500000-4 1.036632+5 1.659587-4 9.161443+4 1.850000-4 7.959100+4 2.137962-4 6.538629+4 2.691535-4 4.735266+4 3.100000-4 3.861200+4 3.548134-4 3.153841+4 4.415704-4 2.249605+4 5.248075-4 1.712015+4 6.918310-4 1.095290+4 8.128305-4 8.380576+3 9.660509-4 6.246775+3 1.161449-3 4.530919+3 1.380384-3 3.328797+3 1.640590-3 2.427889+3 1.949845-3 1.757956+3 2.317395-3 1.264064+3 2.754229-3 9.023582+2 3.273407-3 6.392932+2 3.890451-3 4.493779+2 4.570882-3 3.210143+2 5.432503-3 2.221312+2 6.382635-3 1.563798+2 7.498942-3 1.092955+2 8.810489-3 7.583320+1 1.047129-2 5.097974+1 1.216186-2 3.587460+1 1.348963-2 2.798261+1 1.566751-2 1.938101+1 1.840772-2 1.294670+1 2.238721-2 7.863186+0 2.660725-2 5.025358+0 3.126079-2 3.285048+0 3.715352-2 2.066330+0 4.415704-2 1.290029+0 5.248075-2 7.995234-1 6.382635-2 4.609237-1 7.943282-2 2.469670-1 1.011580-1 1.228933-1 1.949845-1 1.805412-2 2.426610-1 9.575467-3 2.851018-1 6.042528-3 3.311311-1 3.969670-3 3.758374-1 2.801876-3 4.216965-1 2.055313-3 4.731513-1 1.518976-3 5.248075-1 1.165347-3 5.821032-1 9.006098-4 6.382635-1 7.209587-4 7.079458-1 5.656144-4 7.762471-1 4.590040-4 8.609938-1 3.655419-4 9.440609-1 3.008389-4 1.035142+0 2.495802-4 1.174898+0 1.944018-4 1.303167+0 1.596339-4 1.445440+0 1.319613-4 1.621810+0 1.076093-4 1.819701+0 8.841813-5 2.044000+0 7.304200-5 2.317395+0 5.987525-5 2.630268+0 4.935087-5 3.019952+0 4.026850-5 3.507519+0 3.255670-5 4.073803+0 2.652085-5 4.786301+0 2.142664-5 5.754399+0 1.692366-5 6.918310+0 1.347032-5 8.511380+0 1.050194-5 1.071519+1 8.030095-6 1.380384+1 6.027471-6 1.778279+1 4.555565-6 2.344229+1 3.378376-6 3.273407+1 2.368916-6 4.841724+1 1.574737-6 8.000000+1 9.395800-7 1.584893+2 4.690963-7 3.162278+2 2.338171-7 1.258925+3 5.846576-8 1.000000+5 7.35120-10 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 2.744000-5 2.744000-5 1.000000+5 2.744000-5 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.744000-5 0.0 1.000000+5 1.000000+5 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.343000-5 2.307780+7 1.370000-5 2.377720+7 1.396368-5 2.433573+7 1.420000-5 2.471680+7 1.450000-5 2.504300+7 1.480000-5 2.518340+7 1.515000-5 2.515360+7 1.540000-5 2.500420+7 1.570000-5 2.469100+7 1.603245-5 2.419802+7 1.640590-5 2.349521+7 1.678804-5 2.264224+7 1.717908-5 2.166028+7 1.757924-5 2.057981+7 1.800000-5 1.939424+7 1.850000-5 1.796412+7 1.905461-5 1.640310+7 1.950000-5 1.519668+7 2.000000-5 1.390940+7 2.070000-5 1.225062+7 2.150000-5 1.057152+7 2.238721-5 8.973519+6 2.371374-5 7.046120+6 2.540973-5 5.226345+6 3.349654-5 1.549989+6 3.758374-5 9.403216+5 4.120975-5 6.342742+5 4.415704-5 4.746911+5 4.677351-5 3.747784+5 4.954502-5 2.978025+5 5.188000-5 2.493201+5 5.400000-5 2.148740+5 5.623413-5 1.861065+5 5.821032-5 1.656938+5 6.025596-5 1.484934+5 6.237348-5 1.340564+5 6.450000-5 1.223172+5 6.650000-5 1.133046+5 6.850000-5 1.058820+5 7.079458-5 9.894338+4 7.300000-5 9.354700+4 7.500000-5 8.951880+4 7.762471-5 8.522790+4 8.035261-5 8.170752+4 8.317638-5 7.882932+4 8.650000-5 7.617860+4 9.015711-5 7.391754+4 9.549926-5 7.142835+4 1.035142-4 6.869734+4 1.258925-4 6.307840+4 1.400000-4 5.985180+4 1.548817-4 5.650150+4 1.698244-4 5.321512+4 1.850000-4 4.999760+4 2.041738-4 4.616570+4 2.264644-4 4.212127+4 2.540973-4 3.773774+4 2.818383-4 3.393735+4 3.100000-4 3.055300+4 3.388442-4 2.749233+4 3.715352-4 2.446751+4 4.120975-4 2.130643+4 4.570882-4 1.843172+4 5.069907-4 1.584172+4 5.688529-4 1.328777+4 6.456542-4 1.086928+4 7.161434-4 9.158507+3 7.943282-4 7.657151+3 8.810489-4 6.355628+3 9.772372-4 5.239957+3 1.096478-3 4.196286+3 1.230269-3 3.333854+3 1.380384-3 2.627829+3 1.548817-3 2.055075+3 1.737801-3 1.594641+3 1.949845-3 1.228066+3 2.187762-3 9.388382+2 2.454709-3 7.125644+2 2.754229-3 5.370017+2 3.090295-3 4.018858+2 3.467369-3 2.987192+2 3.935501-3 2.138878+2 4.466836-3 1.519322+2 5.069907-3 1.071050+2 5.754399-3 7.495605+1 6.531306-3 5.209515+1 7.585776-3 3.368055+1 8.609938-3 2.312668+1 9.772372-3 1.577073+1 1.109175-2 1.068093+1 1.258925-2 7.183883+0 1.396368-2 5.160851+0 1.603245-2 3.296216+0 1.883649-2 1.938026+0 2.290868-2 1.008814+0 2.754229-2 5.415783-1 3.235937-2 3.121959-1 3.981072-2 1.524864-1 5.128614-2 6.296707-2 1.000000-1 5.998729-3 1.258925-1 2.683389-3 1.531088-1 1.364369-3 1.798871-1 7.870106-4 2.089296-1 4.757470-4 2.398833-1 3.012260-4 2.722701-1 1.996112-4 3.054921-1 1.382745-4 3.427678-1 9.648913-5 3.801894-1 7.026766-5 4.216965-1 5.152358-5 4.677351-1 3.805423-5 5.188000-1 2.832053-5 5.688529-1 2.192574-5 6.237348-1 1.708690-5 6.839117-1 1.340681-5 7.498942-1 1.059063-5 8.609938-1 7.501267-6 9.225714-1 6.356165-6 9.772372-1 5.572581-6 1.035142+0 4.919339-6 1.109175+0 4.264034-6 1.188600+0 3.722500-6 1.318257+0 3.075133-6 1.479108+0 2.506093-6 1.717908+0 1.931766-6 1.927525+0 1.591986-6 2.162719+0 1.321721-6 2.454709+0 1.085163-6 2.818383+0 8.821079-7 3.273407+0 7.106001-7 3.801894+0 5.769006-7 4.466836+0 4.646007-7 5.370318+0 3.658619-7 6.456542+0 2.903871-7 7.943282+0 2.258110-7 9.772372+0 1.769102-7 1.230269+1 1.358779-7 1.640590+1 9.855364-8 2.238721+1 7.029121-8 3.162278+1 4.865830-8 4.623810+1 3.271201-8 7.673615+1 1.941827-8 1.513561+2 9.734290-9 3.019952+2 4.850628-9 1.202264+3 1.212672-9 1.000000+5 1.45600-11 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.343000-5 1.343000-5 1.000000+5 1.343000-5 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.343000-5 0.0 1.000000+5 1.000000+5 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.272000-5 4.850200+7 1.303167-5 4.991079+7 1.333521-5 5.091823+7 1.360000-5 5.149320+7 1.390000-5 5.180680+7 1.412538-5 5.180718+7 1.445440-5 5.148085+7 1.479108-5 5.079227+7 1.515000-5 4.969200+7 1.550000-5 4.830960+7 1.584893-5 4.669139+7 1.621810-5 4.477677+7 1.659587-5 4.266441+7 1.701200-5 4.022862+7 1.750000-5 3.731328+7 1.800000-5 3.434892+7 1.850000-5 3.147888+7 1.905461-5 2.846480+7 1.972423-5 2.511561+7 2.041738-5 2.201103+7 2.113489-5 1.918433+7 2.213095-5 1.586491+7 2.350000-5 1.228360+7 2.540973-5 8.730883+6 3.235937-5 2.994062+6 3.589219-5 1.904474+6 3.900000-5 1.334136+6 4.168694-5 1.009015+6 4.415704-5 7.975740+5 4.650000-5 6.499640+5 4.850000-5 5.534040+5 5.069907-5 4.704945+5 5.248075-5 4.170909+5 5.450000-5 3.681508+5 5.650000-5 3.292688+5 5.850000-5 2.979156+5 6.025596-5 2.753618+5 6.220000-5 2.547732+5 6.400000-5 2.390632+5 6.606934-5 2.242257+5 6.800000-5 2.129024+5 7.000000-5 2.032352+5 7.244360-5 1.936931+5 7.500000-5 1.857952+5 7.800000-5 1.785748+5 8.150000-5 1.721668+5 8.511380-5 1.671145+5 9.015711-5 1.617521+5 9.885531-5 1.549202+5 1.161449-4 1.441613+5 1.288250-4 1.367307+5 1.412538-4 1.295962+5 1.548817-4 1.219758+5 1.678804-4 1.149954+5 1.850000-4 1.063060+5 2.041738-4 9.735512+4 2.290868-4 8.709579+4 2.580000-4 7.700920+4 2.884032-4 6.807445+4 3.162278-4 6.102609+4 3.500000-4 5.363920+4 3.890451-4 4.648184+4 4.365158-4 3.944728+4 4.897788-4 3.322928+4 5.495409-4 2.777403+4 6.309573-4 2.220145+4 7.000000-4 1.864228+4 7.762471-4 1.554591+4 8.609938-4 1.286509+4 9.660509-4 1.034299+4 1.083927-3 8.249864+3 1.216186-3 6.528986+3 1.364583-3 5.126864+3 1.531087-3 3.994525+3 1.717908-3 3.087985+3 1.927525-3 2.369272+3 2.162719-3 1.804585+3 2.426610-3 1.364695+3 2.722701-3 1.024733+3 3.054921-3 7.640860+2 3.427678-3 5.658127+2 3.890451-3 4.034467+2 4.415704-3 2.854093+2 5.011872-3 2.003310+2 5.688529-3 1.394577+2 6.456542-3 9.635671+1 7.413102-3 6.386659+1 8.810489-3 3.784558+1 1.011579-2 2.471465+1 1.148154-2 1.660704+1 1.305600-2 1.101497+1 1.496236-2 7.051153+0 1.737801-2 4.284969+0 2.089296-2 2.299636+0 2.483133-2 1.274286+0 2.951209-2 7.007992-1 3.507519-2 3.823162-1 4.265795-2 1.908993-1 5.248075-2 9.083173-2 7.161434-2 2.949995-2 1.148154-1 5.331959-3 1.396368-1 2.639768-3 1.659587-1 1.429675-3 1.905461-1 8.812538-4 2.162719-1 5.693537-4 2.426610-1 3.852966-4 2.722701-1 2.626776-4 3.019952-1 1.874108-4 3.349654-1 1.347284-4 3.672823-1 1.011625-4 4.027170-1 7.648824-5 4.415705-1 5.826982-5 4.841724-1 4.473175-5 5.248075-1 3.572669-5 5.688529-1 2.871378-5 6.165950-1 2.322649-5 6.683439-1 1.891272-5 7.244360-1 1.549902-5 7.852356-1 1.278203-5 8.609938-1 1.031615-5 9.225714-1 8.838385-6 9.885531-1 7.621549-6 1.083927+0 6.314891-6 1.188600+0 5.267600-6 1.303167+0 4.426428-6 1.445440+0 3.667770-6 1.659587+0 2.877920-6 1.862087+0 2.367610-6 2.089296+0 1.961693-6 2.371374+0 1.607329-6 2.691535+0 1.326476-6 3.090295+0 1.083683-6 3.589219+0 8.772209-7 4.168694+0 7.153888-7 4.954502+0 5.700037-7 5.956621+0 4.508539-7 7.244360+0 3.543645-7 9.015711+0 2.730009-7 1.148154+1 2.064329-7 1.479108+1 1.552620-7 1.972423+1 1.132034-7 2.851018+1 7.626297-8 4.216965+1 5.055866-8 7.079458+1 2.962174-8 1.364583+2 1.518608-8 2.722701+2 7.561853-9 1.083927+3 1.889764-9 1.000000+5 2.04520-11 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.272000-5 1.272000-5 1.000000+5 1.272000-5 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.272000-5 0.0 1.000000+5 1.000000+5 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 6.674410-8 1.028750+0 6.674410-7 1.030100+0 1.148720-6 1.031000+0 1.571850-6 1.032000+0 2.150680-6 1.033200+0 3.012740-6 1.034000+0 3.698420-6 1.035300+0 5.020080-6 1.036640+0 6.674410-6 1.038200+0 9.007330-6 1.039700+0 1.170230-5 1.041500+0 1.556980-5 1.043800+0 2.161140-5 1.046400+0 3.006820-5 1.048300+0 3.743570-5 1.051200+0 5.078080-5 1.054080+0 6.674410-5 1.057700+0 9.097660-5 1.061100+0 1.183380-4 1.065100+0 1.566660-4 1.070400+0 2.185660-4 1.076200+0 3.020580-4 1.080600+0 3.772210-4 1.087100+0 5.082410-4 1.093710+0 6.674410-4 1.102600+0 9.253830-4 1.110700+0 1.206860-3 1.120600+0 1.614370-3 1.133300+0 2.244600-3 1.147500+0 3.099060-3 1.158200+0 3.851340-3 1.174100+0 5.147590-3 1.190110+0 6.674410-3 1.205100+0 8.309000-3 1.227500+0 1.112170-2 1.250000+0 1.437000-2 1.265600+0 1.684930-2 1.294900+0 2.196340-2 1.331800+0 2.915740-2 1.362600+0 3.571730-2 1.411700+0 4.708330-2 1.455800+0 5.815280-2 1.500000+0 7.008000-2 1.589800+0 9.704060-2 1.665000+0 1.222990-1 1.748800+0 1.529830-1 1.838500+0 1.882010-1 1.946200+0 2.326100-1 2.000000+0 2.552000-1 2.044000+0 2.737000-1 2.163500+0 3.246300-1 2.372600+0 4.155170-1 2.647100+0 5.355680-1 3.000000+0 6.872000-1 3.437500+0 8.667280-1 4.000000+0 1.083000+0 4.750000+0 1.348310+0 5.000000+0 1.431000+0 6.000000+0 1.735000+0 7.000000+0 2.007000+0 8.000000+0 2.251000+0 9.000000+0 2.474000+0 1.000000+1 2.676000+0 1.100000+1 2.861000+0 1.200000+1 3.030000+0 1.300000+1 3.185000+0 1.400000+1 3.329000+0 1.500000+1 3.463000+0 1.600000+1 3.589000+0 1.800000+1 3.820000+0 2.000000+1 4.026000+0 2.200000+1 4.213000+0 2.400000+1 4.384000+0 2.600000+1 4.539000+0 2.800000+1 4.681000+0 3.000000+1 4.813000+0 4.000000+1 5.348000+0 5.000000+1 5.746000+0 6.000000+1 6.056000+0 8.000000+1 6.514000+0 1.000000+2 6.839000+0 1.500000+2 7.357000+0 2.000000+2 7.666000+0 3.000000+2 8.026000+0 4.000000+2 8.233000+0 5.000000+2 8.369000+0 6.000000+2 8.467000+0 8.000000+2 8.597000+0 1.000000+3 8.681000+0 1.500000+3 8.803000+0 2.000000+3 8.869000+0 3.000000+3 8.941000+0 4.000000+3 8.979000+0 5.000000+3 9.004000+0 6.000000+3 9.021000+0 8.000000+3 9.043000+0 1.000000+4 9.057000+0 1.500000+4 9.076000+0 2.000000+4 9.087000+0 3.000000+4 9.097000+0 4.000000+4 9.103000+0 5.000000+4 9.107000+0 6.000000+4 9.109000+0 8.000000+4 9.112000+0 1.000000+5 9.114000+0 1 36000 7 8 8.380000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 3.613740-7 2.106600+0 1.177400-6 2.114000+0 1.629080-6 2.119500+0 2.028190-6 2.127900+0 2.750610-6 2.136250+0 3.613740-6 2.147000+0 4.954690-6 2.156900+0 6.435550-6 2.169000+0 8.588640-6 2.184500+0 1.193850-5 2.201800+0 1.651730-5 2.214800+0 2.057920-5 2.234200+0 2.768270-5 2.253680+0 3.613740-5 2.281500+0 5.061680-5 2.307000+0 6.648510-5 2.338200+0 8.939500-5 2.377400+0 1.238010-4 2.410200+0 1.574550-4 2.446800+0 2.002910-4 2.485900+0 2.521780-4 2.532900+0 3.227330-4 2.556430+0 3.613740-4 2.611900+0 4.607900-4 2.660400+0 5.570690-4 2.745300+0 7.455960-4 2.809000+0 9.029560-4 2.904500+0 1.163210-3 3.000000+0 1.452000-3 3.125000+0 1.872360-3 3.234400+0 2.278330-3 3.425800+0 3.068300-3 3.569300+0 3.720830-3 3.784700+0 4.783520-3 4.000000+0 5.926000-3 4.250000+0 7.322760-3 4.625000+0 9.517850-3 5.000000+0 1.180000-2 5.500000+0 1.493320-2 6.000000+0 1.811000-2 6.750000+0 2.284160-2 7.000000+0 2.440000-2 8.000000+0 3.050000-2 9.000000+0 3.633000-2 1.000000+1 4.188000-2 1.100000+1 4.713000-2 1.200000+1 5.209000-2 1.300000+1 5.676000-2 1.400000+1 6.121000-2 1.500000+1 6.542000-2 1.600000+1 6.943000-2 1.800000+1 7.687000-2 2.000000+1 8.364000-2 2.200000+1 8.984000-2 2.400000+1 9.555000-2 2.600000+1 1.008000-1 2.800000+1 1.057000-1 3.000000+1 1.103000-1 4.000000+1 1.292000-1 5.000000+1 1.436000-1 6.000000+1 1.551000-1 8.000000+1 1.724000-1 1.000000+2 1.851000-1 1.500000+2 2.061000-1 2.000000+2 2.193000-1 3.000000+2 2.356000-1 4.000000+2 2.453000-1 5.000000+2 2.520000-1 6.000000+2 2.569000-1 8.000000+2 2.636000-1 1.000000+3 2.681000-1 1.500000+3 2.747000-1 2.000000+3 2.785000-1 3.000000+3 2.825000-1 4.000000+3 2.850000-1 5.000000+3 2.864000-1 6.000000+3 2.874000-1 8.000000+3 2.888000-1 1.000000+4 2.897000-1 1.500000+4 2.908000-1 2.000000+4 2.915000-1 3.000000+4 2.922000-1 4.000000+4 2.926000-1 5.000000+4 2.928000-1 6.000000+4 2.930000-1 8.000000+4 2.931000-1 1.000000+5 2.933000-1 1 36000 7 8 8.380000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 36000 7 9 8.380000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 3.600000+1 1.000000+5 3.600000+1 5.000000+5 3.599000+1 8.750000+5 3.597300+1 1.000000+6 3.596900+1 1.500000+6 3.593500+1 2.000000+6 3.588400+1 2.500000+6 3.582000+1 3.000000+6 3.574100+1 3.750000+6 3.559480+1 4.000000+6 3.554400+1 4.750000+6 3.535930+1 5.000000+6 3.529600+1 5.875000+6 3.503830+1 6.500000+6 3.483560+1 6.625000+6 3.479280+1 7.000000+6 3.466300+1 7.875000+6 3.433530+1 8.500000+6 3.408450+1 8.625000+6 3.403160+1 9.000000+6 3.387800+1 1.000000+7 3.344300+1 1.109400+7 3.293850+1 1.187500+7 3.256230+1 1.203100+7 3.248730+1 1.250000+7 3.226000+1 1.375000+7 3.163630+1 1.437500+7 3.132310+1 1.500000+7 3.100900+1 1.625000+7 3.037690+1 1.750000+7 2.975200+1 1.937500+7 2.882790+1 2.000000+7 2.853000+1 2.250000+7 2.737510+1 2.375000+7 2.682780+1 2.500000+7 2.630100+1 2.750000+7 2.530660+1 3.000000+7 2.439400+1 3.250000+7 2.354940+1 3.500000+7 2.276610+1 3.625000+7 2.239240+1 4.000000+7 2.133400+1 4.500000+7 2.003660+1 5.000000+7 1.882000+1 5.500000+7 1.765460+1 6.000000+7 1.653500+1 6.500000+7 1.545590+1 7.000000+7 1.443000+1 7.500000+7 1.346120+1 8.000000+7 1.255800+1 8.750000+7 1.133440+1 9.000000+7 1.096300+1 1.000000+8 9.657300+0 1.125000+8 8.399480+0 1.218800+8 7.678850+0 1.250000+8 7.475000+0 1.312500+8 7.112890+0 1.406300+8 6.663350+0 1.437500+8 6.534990+0 1.500000+8 6.302500+0 1.718800+8 5.669280+0 1.812500+8 5.437520+0 1.937500+8 5.136160+0 2.000000+8 4.985300+0 2.125000+8 4.682110+0 2.375000+8 4.134720+0 2.500000+8 3.908200+0 2.671900+8 3.641020+0 2.789100+8 3.460400+0 2.875000+8 3.319580+0 2.881300+8 3.308930+0 2.960400+8 3.169380+0 3.000000+8 3.095900+0 3.062500+8 2.975420+0 3.335900+8 2.487620+0 3.418000+8 2.375110+0 3.500000+8 2.283600+0 3.562500+8 2.228400+0 4.000000+8 1.968800+0 4.062500+8 1.928070+0 5.000000+8 1.339100+0 5.125000+8 1.295040+0 5.234400+8 1.263010+0 5.425800+8 1.217560+0 6.000000+8 1.118200+0 6.250000+8 1.077920+0 7.000000+8 9.662000-1 7.625000+8 8.903750-1 8.000000+8 8.460000-1 8.359400+8 8.014490-1 8.660200+8 7.636320-1 9.138700+8 7.043620-1 9.569300+8 6.534270-1 1.000000+9 6.057000-1 1.062500+9 5.427400-1 1.141100+9 4.732910-1 1.206900+9 4.224690-1 1.280200+9 3.726350-1 1.335100+9 3.394630-1 1.417600+9 2.954330-1 1.500000+9 2.575700-1 1.589800+9 2.221910-1 1.665000+9 1.967110-1 1.784700+9 1.627160-1 1.892300+9 1.378740-1 2.000000+9 1.173900-1 2.093800+9 1.024600-1 2.275400+9 7.956190-2 2.445700+9 6.351420-2 2.680200+9 4.738970-2 2.895300+9 3.681410-2 3.158400+9 2.755090-2 3.496000+9 1.951760-2 3.872000+9 1.372230-2 4.436000+9 8.528190-3 5.000000+9 5.589200-3 8.000000+9 1.050600-3 1.00000+10 4.761700-4 1.20500+10 2.477360-4 1.41820+10 1.409190-4 1.71170+10 7.399950-5 2.01490+10 4.259150-5 2.26440+10 2.877240-5 2.74790+10 1.510210-5 3.41360+10 7.390240-6 4.02450+10 4.318840-6 5.12000+10 1.983000-6 6.34000+10 1.000240-6 8.17000+10 4.472080-7 1.00000+11 2.365500-7 1.34280+11 9.408370-8 1.77440+11 3.961180-8 2.63330+11 1.175730-8 3.75720+11 3.978350-9 6.61190+11 7.22821-10 1.48990+12 6.43694-11 4.26460+12 2.94408-12 1.00000+14 3.23480-16 5.62340+14 2.14626-18 7.49890+15 1.08477-21 1.00000+17 5.25410-25 1 36000 7 0 8.380000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 3.50000-12 1.000000+2 3.50000-10 1.000000+3 3.500000-8 1.000000+4 3.500000-6 1.000000+5 3.500000-4 5.000000+5 8.750000-3 8.750000+5 2.679688-2 1.000000+6 3.500000-2 1.500000+6 7.790000-2 2.000000+6 1.377000-1 2.500000+6 2.139000-1 3.000000+6 3.056000-1 3.750000+6 4.707070-1 4.000000+6 5.327000-1 4.750000+6 7.376730-1 5.000000+6 8.120000-1 5.875000+6 1.092870+0 6.500000+6 1.311000+0 6.625000+6 1.356150+0 7.000000+6 1.494500+0 7.875000+6 1.831050+0 8.500000+6 2.081130+0 8.625000+6 2.131880+0 9.000000+6 2.285800+0 1.000000+7 2.703000+0 1.109400+7 3.166250+0 1.187500+7 3.498460+0 1.203100+7 3.564520+0 1.250000+7 3.763500+0 1.375000+7 4.288430+0 1.437500+7 4.547850+0 1.500000+7 4.805000+0 1.625000+7 5.310660+0 1.750000+7 5.805000+0 1.937500+7 6.525040+0 2.000000+7 6.760000+0 2.250000+7 7.673160+0 2.375000+7 8.114480+0 2.500000+7 8.545700+0 2.750000+7 9.374800+0 3.000000+7 1.015700+1 3.250000+7 1.088930+1 3.500000+7 1.157620+1 3.625000+7 1.190380+1 4.000000+7 1.282800+1 4.500000+7 1.394420+1 5.000000+7 1.496900+1 5.500000+7 1.593160+1 6.000000+7 1.684900+1 6.500000+7 1.772480+1 7.000000+7 1.856200+1 7.500000+7 1.936070+1 8.000000+7 2.012300+1 8.750000+7 2.119490+1 9.000000+7 2.153500+1 1.000000+8 2.280400+1 1.125000+8 2.419960+1 1.218800+8 2.511730+1 1.250000+8 2.540100+1 1.312500+8 2.593260+1 1.406300+8 2.666040+1 1.437500+8 2.688730+1 1.500000+8 2.731300+1 1.718800+8 2.858700+1 1.812500+8 2.905020+1 1.937500+8 2.961060+1 2.000000+8 2.987000+1 2.125000+8 3.034850+1 2.375000+8 3.117420+1 2.500000+8 3.153400+1 2.671900+8 3.197060+1 2.789100+8 3.223560+1 2.875000+8 3.241740+1 2.881300+8 3.242970+1 2.960400+8 3.258340+1 3.000000+8 3.265900+1 3.062500+8 3.276710+1 3.335900+8 3.319450+1 3.418000+8 3.330490+1 3.500000+8 3.341000+1 3.562500+8 3.348330+1 4.000000+8 3.391900+1 4.062500+8 3.396900+1 5.000000+8 3.456200+1 5.125000+8 3.462070+1 5.234400+8 3.467100+1 5.425800+8 3.475670+1 6.000000+8 3.498000+1 6.250000+8 3.506150+1 7.000000+8 3.528300+1 7.625000+8 3.542780+1 8.000000+8 3.550400+1 8.359400+8 3.556570+1 8.660200+8 3.561170+1 9.138700+8 3.567680+1 9.569300+8 3.572520+1 1.000000+9 3.576900+1 1.062500+9 3.581860+1 1.141100+9 3.586400+1 1.206900+9 3.589340+1 1.280200+9 3.591820+1 1.335100+9 3.593590+1 1.417600+9 3.595090+1 1.500000+9 3.596500+1 1.589800+9 3.597150+1 1.665000+9 3.597660+1 1.784700+9 3.598440+1 1.892300+9 3.599030+1 2.000000+9 3.599300+1 2.093800+9 3.599370+1 2.275400+9 3.599500+1 2.445700+9 3.599610+1 2.680200+9 3.599760+1 2.895300+9 3.599880+1 3.158400+9 3.600010+1 3.496000+9 3.600170+1 3.872000+9 3.600120+1 4.436000+9 3.600060+1 5.000000+9 3.600000+1 8.000000+9 3.600000+1 1.00000+10 3.600000+1 1.20500+10 3.600000+1 1.41820+10 3.600000+1 1.71170+10 3.600000+1 2.01490+10 3.600000+1 2.26440+10 3.600000+1 2.74790+10 3.600000+1 3.41360+10 3.600000+1 4.02450+10 3.600000+1 5.12000+10 3.600000+1 6.34000+10 3.600000+1 8.17000+10 3.600000+1 1.00000+11 3.600000+1 1.34280+11 3.600000+1 1.77440+11 3.600000+1 2.63330+11 3.600000+1 3.75720+11 3.600000+1 6.61190+11 3.600000+1 1.48990+12 3.600000+1 4.26460+12 3.600000+1 1.00000+14 3.600000+1 5.62340+14 3.600000+1 7.49890+15 3.600000+1 1.00000+17 3.600000+1 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.048657-6 0.0 8.954331-6 0.0 8.992900-6 1.108931+0 8.998410-6 1.265734+0 9.020450-6 2.311966+0 9.042490-6 3.898292+0 9.067285-6 6.398265+0 9.105511-6 1.116225+1 9.132028-6 1.427241+1 9.154713-6 1.606450+1 9.177682-6 1.661180+1 9.199871-6 1.582761+1 9.223335-6 1.376889+1 9.260517-6 9.194104+0 9.284930-6 6.215191+0 9.308347-6 3.911208+0 9.329010-6 2.391050+0 9.351050-6 1.315336+0 9.382732-6 3.761041-1 9.395129-6 0.0 9.661016-6 0.0 9.702630-6 4.915760-1 9.708575-6 5.610846-1 9.732354-6 1.024867+0 9.756134-6 1.728066+0 9.782886-6 2.836275+0 9.824546-6 4.970299+0 9.852737-6 6.326791+0 9.877214-6 7.121203+0 9.901330-6 7.371429+0 9.924997-6 7.047324+0 9.951251-6 6.103585+0 9.991367-6 4.075637+0 1.001771-5 2.755120+0 1.004297-5 1.733792+0 1.006527-5 1.059924+0 1.008904-5 5.830731-1 1.012323-5 1.667250-1 1.013660-5 3.879338-6 1.016131-5 7.234310-6 1.018614-5 1.252695-5 1.021096-5 2.005640-5 1.023579-5 2.969181-5 1.028554-5 5.148288-5 1.031042-5 6.025610-5 1.033531-5 6.519285-5 1.036020-5 6.520537-5 1.038509-5 6.029346-5 1.040998-5 5.154364-5 1.045975-5 2.976979-5 1.048464-5 2.011316-5 1.050953-5 1.256379-5 1.053441-5 7.255910-6 1.055930-5 3.854506-6 1.058337-5 1.314601-6 1.060908-5 0.0 1.079353-5 0.0 1.081803-5 3.21113-14 1.087128-5 2.251038-6 1.088801-5 3.418569-6 1.088879-5 2.455610-3 1.091143-5 7.092976-1 1.094239-5 1.806927+0 1.096919-5 3.315296+0 1.099599-5 5.617608+0 1.102507-5 9.129744+0 1.110487-5 2.109345+1 1.113246-5 2.392963+1 1.116039-5 2.495954+1 1.118782-5 2.395525+1 1.121409-5 2.132888+1 1.127670-5 1.201287+1 1.129081-5 9.830764+0 1.131928-5 6.271293+0 1.134441-5 3.885993+0 1.137121-5 2.170183+0 1.139801-5 1.118729+0 1.142399-5 1.461325-1 1.142481-5 1.179969-1 1.144857-5 0.0 1.155099-5 0.0 1.155148-5 7.752139-4 1.157217-5 3.270473-1 1.159471-5 7.158905-1 1.160834-5 1.134160+0 1.163677-5 2.343244+0 1.165257-5 3.253039+0 1.166782-5 4.322323+0 1.168904-5 6.197634+0 1.171383-5 8.899168+0 1.180293-5 2.044986+1 1.183881-5 2.323631+1 1.186926-5 2.362500+1 1.189727-5 2.250746+1 1.193222-5 1.929905+1 1.199866-5 1.209104+1 1.200925-5 1.113299+1 1.203663-5 9.346913+0 1.206415-5 8.487505+0 1.209129-5 8.163975+0 1.212793-5 8.137564+0 1.221762-5 8.704224+0 1.228400-5 8.648872+0 1.233991-5 9.127087+0 1.239356-5 1.028582+1 1.252026-5 1.423265+1 1.256562-5 1.469224+1 1.260622-5 1.430006+1 1.272705-5 1.179156+1 1.276575-5 1.179190+1 1.282624-5 1.236854+1 1.293803-5 1.333762+1 1.367913-5 1.470609+1 1.469088-5 1.597840+1 1.571737-5 1.615909+1 1.709060-5 1.505962+1 2.116640-5 9.180481+0 2.314554-5 6.929952+0 2.474453-5 5.566907+0 2.619211-5 4.588797+0 2.799288-5 3.652153+0 2.980707-5 2.948079+0 3.167001-5 2.402273+0 3.349654-5 1.993985+0 3.575247-5 1.617741+0 3.798700-5 1.342406+0 4.050000-5 1.114205+0 4.268098-5 9.660229-1 4.565129-5 8.179755-1 4.877251-5 7.091200-1 5.308844-5 6.112540-1 5.824673-5 5.449126-1 6.524713-5 5.056418-1 7.500000-5 4.980357-1 8.937719-5 5.221470-1 8.981718-5 5.585064-1 9.003717-5 5.882907-1 9.025735-5 6.333223-1 9.048303-5 6.967790-1 9.095962-5 8.849799-1 9.140730-5 1.066118+0 9.188432-5 1.193168+0 9.261441-5 1.295365+0 9.312093-5 1.331089+0 9.447841-5 1.282918+0 9.746687-5 1.348411+0 1.014508-4 1.488272+0 1.045000-4 1.674936+0 1.076316-4 1.975234+0 1.108564-4 2.424378+0 1.141274-4 3.036962+0 1.187860-4 4.153305+0 1.325000-4 7.841967+0 1.430000-4 1.014114+1 1.600000-4 1.310681+1 1.766494-4 1.524821+1 1.960803-4 1.661532+1 2.018924-4 1.711431+1 2.159778-4 1.864653+1 2.457600-4 1.911775+1 2.736555-4 1.905102+1 2.803000-4 1.939324+1 3.630780-4 1.697173+1 4.782858-4 1.340828+1 5.883804-4 1.081763+1 7.125991-4 8.684362+0 8.337112-4 7.164978+0 9.730270-4 5.877847+0 1.141563-3 4.749592+0 1.309117-3 3.934733+0 1.517972-3 3.192304+0 1.635511-3 2.896672+0 1.644483-3 3.013738+0 1.650416-3 3.263035+0 1.654961-3 3.616020+0 1.659928-3 4.209844+0 1.665327-3 5.112316+0 1.681904-3 8.537484+0 1.690596-3 9.812535+0 1.704231-3 1.081719+1 1.721325-3 1.200783+1 1.743000-3 1.402549+1 1.759250-3 1.457997+1 1.828044-3 1.419479+1 1.881602-3 1.389673+1 1.921447-3 1.492608+1 2.339805-3 1.133516+1 2.703492-3 9.127198+0 3.127337-3 7.278041+0 3.599565-3 5.817093+0 4.083443-3 4.733055+0 4.665600-3 3.792848+0 5.337842-3 3.022581+0 6.058849-3 2.432944+0 6.786244-3 1.999576+0 7.582267-3 1.647079+0 8.535850-3 1.336032+0 9.586518-3 1.086457+0 1.075663-2 8.836125-1 1.205137-2 7.196121-1 1.362094-2 5.758459-1 1.392587-2 5.572439-1 1.399445-2 5.753542-1 1.403493-2 6.112288-1 1.406886-2 6.702252-1 1.409812-2 7.523294-1 1.413180-2 8.931522-1 1.416492-2 1.087757+0 1.420354-2 1.386988+0 1.426310-2 1.962543+0 1.434451-2 2.766697+0 1.441500-2 3.263495+0 1.449420-2 3.531630+0 1.462099-2 3.596660+0 1.695663-2 2.850414+0 1.937222-2 2.290937+0 2.165036-2 1.897991+0 2.443881-2 1.540224+0 2.761524-2 1.244920+0 3.128289-2 9.961367-1 3.482456-2 8.213677-1 3.905549-2 6.646094-1 4.366577-2 5.407207-1 4.826173-2 4.474746-1 5.337729-2 3.699223-1 5.892675-2 3.058925-1 6.508742-2 2.525132-1 7.226207-2 2.059727-1 7.899817-2 1.729657-1 8.767011-2 1.409132-1 9.818129-2 1.125586-1 1.103855-1 8.921374-2 1.209390-1 7.443016-2 1.323759-1 6.219279-2 1.451454-1 5.177354-2 1.590151-1 4.317272-2 1.755503-1 3.546858-2 1.932503-1 2.936462-2 2.143453-1 2.397336-2 2.359867-1 1.990052-2 2.581815-1 1.675114-2 2.851018-1 1.390837-2 3.144975-1 1.160008-2 3.469864-1 9.708075-3 3.861168-1 8.042480-3 4.327629-1 6.626461-3 4.800096-1 5.596361-3 5.355082-1 4.719285-3 5.939501-1 4.046405-3 6.765697-1 3.373461-3 7.780602-1 2.819295-3 9.126673-1 2.340891-3 1.070165+0 1.975456-3 1.289742+0 1.620419-3 1.560588+0 1.323738-3 1.859734+0 1.098379-3 2.235892+0 9.031931-4 2.688134+0 7.426923-4 3.231848+0 6.107131-4 3.885536+0 5.021871-4 4.671441+0 4.129466-4 5.616308+0 3.395644-4 6.752287+0 2.792226-4 8.118035+0 2.296037-4 9.760024+0 1.888023-4 1.000000+1 3.800409-4 1 36000 7 0 8.380000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-3.600862+1 3.048657-6-3.607222+1 8.077489-6-3.575553+1 8.720838-6-3.426452+1 8.900583-6-3.239238+1 8.962811-6-3.033307+1 9.050067-6-2.662847+1 9.086570-6-2.642862+1 9.114120-6-2.790752+1 9.144942-6-3.141046+1 9.189593-6-3.850278+1 9.229356-6-3.313771+1 9.262890-6-3.112573+1 9.301460-6-3.140361+1 9.436951-6-3.734257+1 9.509268-6-3.885341+1 9.708575-6-3.541861+1 9.795890-6-3.394816+1 9.851251-6-3.522943+1 9.921280-6-3.911844+1 9.980273-6-3.670534+1 1.004855-5-3.711688+1 1.016131-5-3.948572+1 1.073271-5-3.461411+1 1.085897-5-3.186928+1 1.100520-5-2.400552+1 1.103680-5-2.329169+1 1.106951-5-2.438594+1 1.109787-5-2.691919+1 1.113084-5-3.227055+1 1.117737-5-4.130168+1 1.121603-5-3.463708+1 1.125337-5-3.126658+1 1.128816-5-3.054760+1 1.133185-5-3.248817+1 1.147338-5-4.208792+1 1.159471-5-3.583696+1 1.169420-5-2.999028+1 1.172662-5-2.919965+1 1.176623-5-3.018150+1 1.179849-5-3.287904+1 1.185450-5-4.099094+1 1.186926-5-4.346818+1 1.190742-5-3.830057+1 1.194552-5-3.510890+1 1.198666-5-3.426159+1 1.206119-5-3.761401+1 1.215314-5-4.084585+1 1.243018-5-4.495614+1 1.252026-5-4.358820+1 1.263046-5-4.027670+1 1.272705-5-4.044894+1 1.284413-5-4.165219+1 1.663246-5-3.000452+1 1.851397-5-2.630168+1 2.044135-5-2.448854+1 2.314554-5-2.389232+1 4.565129-5-2.744391+1 8.744637-5-3.131750+1 9.229193-5-3.214849+1 1.051250-4-3.354866+1 1.235000-4-3.627720+1 1.465000-4-3.528740+1 1.996121-4-2.938421+1 2.159778-4-2.728141+1 2.457600-4-2.327106+1 2.715169-4-2.099662+1 2.774222-4-2.049734+1 2.993740-4-1.799033+1 3.362566-4-1.521148+1 3.894478-4-1.252218+1 4.381893-4-1.085685+1 5.031056-4-9.435230+0 5.883804-4-8.335419+0 6.732653-4-7.745302+0 7.962354-4-7.394159+0 9.730270-4-7.486233+0 1.141563-3-8.007175+0 1.309117-3-8.966774+0 1.438692-3-1.021950+1 1.517972-3-1.145887+1 1.578782-3-1.299573+1 1.614219-3-1.446858+1 1.639310-3-1.631389+1 1.667654-3-2.006683+1 1.676600-3-2.044499+1 1.695551-3-1.911110+1 1.715470-3-1.815502+1 1.732750-3-1.745930+1 1.767485-3-1.418293+1 1.790699-3-1.272503+1 1.828044-3-1.121257+1 1.863812-3-1.042204+1 1.901855-3-1.019649+1 1.950223-3-8.168495+0 1.993000-3-7.006114+0 2.057898-3-5.761055+0 2.135385-3-4.676037+0 2.219474-3-3.794282+0 2.310734-3-3.054542+0 2.404460-3-2.459183+0 2.521847-3-1.881096+0 2.639630-3-1.436403+0 2.788127-3-1.004769+0 2.852814-3-8.557642-1 2.917427-3-7.249542-1 2.987263-3-6.018668-1 3.067979-3-4.822756-1 3.143154-3-3.864252-1 3.221996-3-2.985027-1 3.309554-3-2.170381-1 3.379919-3-1.610246-1 3.427678-3-1.265362-1 3.507519-3-7.749034-2 3.578903-3-3.945408-2 3.599565-3-2.936185-2 3.630781-3-1.517788-2 3.672823-3 2.327973-3 3.697018-3 1.106932-2 3.762433-3 3.201315-2 3.856266-3 5.610960-2 3.944903-3 7.314745-2 4.059172-3 8.918851-2 4.152997-3 9.679205-2 4.230811-3 9.946287-2 4.441196-3 9.914403-2 4.538722-3 9.469183-2 4.665600-3 8.475491-2 4.837143-3 6.526023-2 5.051699-3 3.536902-2 5.110735-3 2.663087-2 5.225818-3 8.088460-3 5.248800-3 4.469084-3 5.278372-3-3.175744-4 5.337842-3-1.080283-2 5.440327-3-2.863944-2 5.656996-3-6.999577-2 5.950536-3-1.260961-1 9.975295-3-9.558890-1 1.114200-2-1.242967+0 1.205137-2-1.534995+0 1.271139-2-1.832436+0 1.318802-2-2.145015+0 1.353351-2-2.485143+0 1.375944-2-2.824513+0 1.392587-2-3.223474+0 1.404619-2-3.721669+0 1.421939-2-4.681224+0 1.428852-2-4.773053+0 1.436103-2-4.536468+0 1.453901-2-3.429294+0 1.464344-2-2.969897+0 1.477415-2-2.590256+0 1.496236-2-2.212520+0 1.521758-2-1.844648+0 1.551072-2-1.537239+0 1.591035-2-1.227067+0 1.617436-2-1.064741+0 1.667367-2-8.233864-1 1.721795-2-6.201217-1 1.765887-2-4.843682-1 1.801254-2-3.945263-1 1.844057-2-3.017928-1 1.866447-2-2.589773-1 1.907690-2-1.892743-1 1.937222-2-1.443069-1 1.966754-2-1.035848-1 2.014171-2-4.749402-2 2.061087-2-2.726954-4 2.067983-2 6.730647-3 2.125153-2 5.534234-2 2.165036-2 8.362470-2 2.213885-2 1.149917-1 2.271172-2 1.469006-1 2.335017-2 1.760445-1 2.443881-2 2.119417-1 2.561395-2 2.388649-1 2.761524-2 2.655035-1 2.979178-2 2.776003-1 3.357890-2 2.708348-1 3.905549-2 2.404684-1 5.161451-2 1.569124-1 6.096379-2 1.058101-1 6.754286-2 7.652483-2 7.340730-2 5.422458-2 7.899817-2 3.586144-2 8.426613-2 2.074091-2 8.767011-2 1.194925-2 9.021981-2 5.884616-3 9.230664-2 1.124007-3 9.387167-2-2.294483-3 9.569515-2-6.222991-3 1.005959-1-1.578834-2 1.053257-1-2.417822-2 1.121066-1-3.486525-2 1.209390-1-4.666376-2 1.323759-1-5.933240-2 1.495395-1-7.412133-2 1.755503-1-9.007914-2 2.143453-1-1.052941-1 2.759691-1-1.188998-1 3.726699-1-1.292631-1 5.785538-1-1.373414-1 1.228714+0-1.420832-1 3.710658+0-1.432681-1 1.000000+1-1.433526-1 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 6.098353-1 1.024000-6 7.298989-1 1.042290-6 8.377440-1 1.054194-6 9.176229-1 1.065727-6 1.003779+0 1.076899-6 1.096252+0 1.087722-6 1.195328+0 1.108363-6 1.414707+0 1.127735-6 1.664902+0 1.145915-6 1.949129+0 1.154581-6 2.105204+0 1.162976-6 2.271614+0 1.171109-6 2.449010+0 1.186866-6 2.842658+0 1.201639-6 3.283293+0 1.215488-6 3.776734+0 1.228472-6 4.327774+0 1.240644-6 4.941226+0 1.252056-6 5.622084+0 1.262754-6 6.375504+0 1.272784-6 7.206783+0 1.282187-6 8.121327+0 1.291002-6 9.124620+0 1.299266-6 1.022219+1 1.307014-6 1.141957+1 1.314277-6 1.272225+1 1.321087-6 1.413564+1 1.327471-6 1.566505+1 1.333456-6 1.731561+1 1.339066-6 1.909223+1 1.344327-6 2.099961+1 1.349258-6 2.304219+1 1.353881-6 2.522416+1 1.358215-6 2.754945+1 1.362279-6 3.002182+1 1.366088-6 3.264480+1 1.369659-6 3.542166+1 1.373008-6 3.835547+1 1.376146-6 4.144917+1 1.379089-6 4.470581+1 1.381848-6 4.812881+1 1.384434-6 5.172221+1 1.386859-6 5.549070+1 1.391405-6 6.386526+1 1.395383-6 7.304738+1 1.398864-6 8.303851+1 1.401909-6 9.377791+1 1.404574-6 1.051342+2 1.406906-6 1.169178+2 1.408947-6 1.289064+2 1.410732-6 1.408729+2 1.413661-6 1.639361+2 1.416053-6 1.863664+2 1.424433-6 2.954900+2 1.426732-6 3.345223+2 1.429359-6 3.839314+2 1.431111-6 4.195699+2 1.433738-6 4.766989+2 1.437679-6 5.692553+2 1.439212-6 6.069605+2 1.441620-6 6.675620+2 1.444248-6 7.349475+2 1.447094-6 8.088132+2 1.449280-6 8.659649+2 1.452167-6 9.420721+2 1.455195-6 1.023381+3 1.460130-6 1.162153+3 1.467065-6 1.376646+3 1.470053-6 1.474530+3 1.473133-6 1.574560+3 1.475717-6 1.653923+3 1.477999-6 1.717174+3 1.479706-6 1.758500+3 1.481985-6 1.803332+3 1.483835-6 1.829346+3 1.485883-6 1.845732+3 1.486632-6 1.848220+3 1.490203-6 1.832714+3 1.492066-6 1.806344+3 1.494108-6 1.763386+3 1.495475-6 1.726861+3 1.497233-6 1.671468+3 1.499046-6 1.605416+3 1.500804-6 1.534038+3 1.502366-6 1.465621+3 1.504375-6 1.372463+3 1.506160-6 1.286365+3 1.507946-6 1.198713+3 1.509955-6 1.099977+3 1.511517-6 1.024195+3 1.515088-6 8.583983+2 1.516315-6 8.047339+2 1.518659-6 7.081303+2 1.521783-6 5.925583+2 1.525516-6 4.754263+2 1.530743-6 3.483379+2 1.533341-6 2.994636+2 1.536000-6 2.578192+2 1.538511-6 2.252015+2 1.541082-6 1.975278+2 1.543642-6 1.747414+2 1.546192-6 1.559337+2 1.548732-6 1.403331+2 1.551262-6 1.273004+2 1.553783-6 1.163179+2 1.556293-6 1.069731+2 1.558794-6 9.894135+1 1.561285-6 9.196950+1 1.566247-6 8.044261+1 1.571171-6 7.131346+1 1.576056-6 6.389551+1 1.580903-6 5.774815+1 1.585712-6 5.257504+1 1.590484-6 4.816781+1 1.595218-6 4.437448+1 1.599916-6 4.108083+1 1.604576-6 3.819893+1 1.609200-6 3.565974+1 1.613789-6 3.340817+1 1.622893-6 2.958512+1 1.631855-6 2.648370+1 1.640678-6 2.392535+1 1.649362-6 2.178655+1 1.657911-6 1.997785+1 1.666326-6 1.843255+1 1.674609-6 1.710029+1 1.682763-6 1.594273+1 1.690790-6 1.492997+1 1.698692-6 1.403769+1 1.714247-6 1.252723+1 1.729317-6 1.131035+1 1.743916-6 1.031417+1 1.758058-6 9.487469+0 1.771759-6 8.792477+0 1.785031-6 8.201685+0 1.797889-6 7.695181+0 1.810345-6 7.257539+0 1.834478-6 6.526520+0 1.857103-6 5.951848+0 1.878314-6 5.492569+0 1.898199-6 5.119259+0 1.920000-6 4.761815+0 1.934318-6 4.552384+0 1.967088-6 4.132629+0 1.995762-6 3.820349+0 2.020851-6 3.584254+0 2.064757-6 3.231887+0 2.097687-6 3.008417+0 2.147082-6 2.725467+0 2.218102-6 2.394742+0 2.288384-6 2.136189+0 2.400000-6 1.811269+0 2.564243-6 1.411983+0 2.603936-6 1.308123+0 2.633706-6 1.218893+0 2.656034-6 1.139030+0 2.672780-6 1.065832+0 2.685339-6 9.986146-1 2.694758-6 9.387275-1 2.701823-6 8.879897-1 2.707121-6 8.470937-1 2.711095-6 8.153747-1 2.723016-6 7.225670-1 2.727838-6 6.911647-1 2.731454-6 6.725421-1 2.733600-6 6.641672-1 2.736421-6 6.568686-1 2.743123-6 6.608883-1 2.746111-6 6.745506-1 2.749826-6 7.036697-1 2.752837-6 7.381544-1 2.755149-6 7.717213-1 2.759563-6 8.538188-1 2.762979-6 9.340405-1 2.767130-6 1.051109+0 2.776623-6 1.392386+0 2.779742-6 1.522738+0 2.783105-6 1.670242+0 2.786468-6 1.822423+0 2.790251-6 1.995674+0 2.793194-6 2.129304+0 2.799920-6 2.419510+0 2.800761-6 2.453446+0 2.806646-6 2.670349+0 2.808958-6 2.744023+0 2.813372-6 2.863707+0 2.816406-6 2.928852+0 2.818137-6 2.959534+0 2.821166-6 3.001739+0 2.823438-6 3.023836+0 2.826846-6 3.041977+0 2.830254-6 3.042918+0 2.833550-6 3.028658+0 2.838595-6 2.981323+0 2.843659-6 2.908195+0 2.847003-6 2.849043+0 2.853729-6 2.712548+0 2.857064-6 2.639757+0 2.876270-6 2.231199+0 2.882781-6 2.114630+0 2.888479-6 2.025102+0 2.898450-6 1.895452+0 2.913406-6 1.754035+0 2.928362-6 1.655671+0 2.933993-6 1.625905+0 2.948437-6 1.561580+0 2.962880-6 1.509329+0 2.986024-6 1.441333+0 3.014856-6 1.373179+0 3.056762-6 1.292631+0 3.146741-6 1.146892+0 3.180898-6 1.083537+0 3.197977-6 1.044417+0 3.219506-6 9.899654-1 3.230882-6 9.646156-1 3.238796-6 9.518853-1 3.246709-6 9.455217-1 3.251204-6 9.454765-1 3.259128-6 9.526947-1 3.263937-6 9.619121-1 3.267543-6 9.712460-1 3.275658-6 9.994128-1 3.286277-6 1.048474+0 3.299321-6 1.117792+0 3.307442-6 1.159207+0 3.315563-6 1.194692+0 3.320908-6 1.213376+0 3.324916-6 1.224548+0 3.330929-6 1.236444+0 3.336942-6 1.242461+0 3.341671-6 1.243238+0 3.346296-6 1.240905+0 3.354221-6 1.230793+0 3.362145-6 1.214698+0 3.377994-6 1.172682+0 3.404893-6 1.099437+0 3.429255-6 1.045052+0 3.457732-6 9.919364-1 3.474754-6 9.657388-1 3.483265-6 9.554920-1 3.491775-6 9.479455-1 3.500286-6 9.436133-1 3.511823-6 9.433276-1 3.523360-6 9.490857-1 3.551351-6 9.754438-1 3.559862-6 9.820433-1 3.567125-6 9.856355-1 3.574389-6 9.869179-1 3.585394-6 9.841749-1 3.593905-6 9.784607-1 3.610926-6 9.604697-1 3.636362-6 9.304539-1 3.648888-6 9.193746-1 3.661414-6 9.119185-1 3.680570-6 9.059920-1 3.715937-6 8.979867-1 3.742461-6 8.868157-1 3.787633-6 8.661003-1 3.940900-6 8.067174-1 4.077810-6 7.504527-1 4.192830-6 7.114028-1 4.340174-6 6.620309-1 4.512104-6 6.054577-1 4.690833-6 5.513773-1 4.856405-6 5.036429-1 4.982349-6 4.686279-1 5.112270-6 4.335907-1 5.251459-6 3.970497-1 5.370547-6 3.669346-1 5.487049-6 3.381709-1 5.600947-6 3.108640-1 5.718981-6 2.837182-1 5.830813-6 2.587783-1 5.928855-6 2.376202-1 6.030688-6 2.163417-1 6.102977-6 2.016249-1 6.193160-6 1.837226-1 6.290000-6 1.652562-1 6.373415-6 1.499638-1 6.450000-6 1.363646-1 6.506929-6 1.265563-1 6.560000-6 1.176452-1 6.620000-6 1.078989-1 6.672500-6 9.969403-2 6.732500-6 9.066786-2 6.770000-6 8.519965-2 6.810000-6 7.951507-2 6.850000-6 7.399145-2 6.890000-6 6.862830-2 6.922500-6 6.438327-2 6.960000-6 5.960853-2 7.010000-6 5.346527-2 7.047500-6 4.904794-2 7.085000-6 4.480645-2 7.147500-6 3.812493-2 7.200000-6 3.288085-2 7.274613-6 2.602791-2 7.352464-6 1.965433-2 7.395759-6 1.646453-2 7.436840-6 1.368527-2 7.512090-6 9.242987-3 7.582228-6 5.902754-3 7.626876-6 4.217946-3 7.642523-6 3.709684-3 7.784962-6 7.989029-4 7.819173-6 6.366347-4 7.865216-6 8.568758-4 8.063522-6 5.998580-3 8.099130-6 7.677743-3 8.192000-6 1.362395-2 8.325734-6 2.575540-2 8.410000-6 3.572025-2 8.545257-6 5.564545-2 8.664769-6 7.775541-2 8.850000-6 1.204366-1 8.981524-6 1.577689-1 9.158838-6 2.186385-1 9.363544-6 3.048008-1 9.581900-6 4.107248-1 9.654804-6 4.342367-1 9.660509-6 4.353825-1 9.990117-6 4.080481-1 1.030328-5 3.586972-1 1.056878-5 3.148875-1 1.074721-5 2.847184-1 1.092752-5 2.538345-1 1.112572-5 2.195533-1 1.125542-5 1.970416-1 1.138998-5 1.737557-1 1.152296-5 1.510054-1 1.161603-5 1.353420-1 1.174898-5 1.134488-1 1.184579-5 9.800214-2 1.195531-5 8.119480-2 1.206141-5 6.574079-2 1.216419-5 5.170019-2 1.227833-5 3.747822-2 1.236333-5 2.807160-2 1.247802-5 1.722921-2 1.255003-5 1.168175-2 1.263008-5 6.874553-3 1.268059-5 4.672911-3 1.272506-5 3.313890-3 1.285729-5 2.808625-3 1.287682-5 3.223625-3 1.288915-5 3.555387-3 1.304298-5 1.266272-2 1.307740-5 1.611286-2 1.318720-5 3.128524-2 1.325108-5 4.341679-2 1.332240-5 6.022170-2 1.344916-5 9.966054-2 1.356799-5 1.497215-1 1.367939-5 2.107542-1 1.378383-5 2.829378-1 1.389117-5 3.752077-1 1.397354-5 4.610095-1 1.405960-5 5.674741-1 1.414028-5 6.855187-1 1.429155-5 9.637025-1 1.453974-5 1.648822+0 1.464108-5 2.052174+0 1.472975-5 2.492853+0 1.480734-5 2.968626+0 1.487523-5 3.477980+0 1.493464-5 4.020647+0 1.498662-5 4.597824+0 1.503210-5 5.211564+0 1.507189-5 5.863093+0 1.510672-5 6.550775+0 1.516765-5 8.123007+0 1.521336-5 9.724798+0 1.524763-5 1.123460+1 1.529262-5 1.369057+1 1.535991-5 1.845098+1 1.538825-5 2.081645+1 1.541659-5 2.333973+1 1.542603-5 2.420475+1 1.546382-5 2.769993+1 1.547326-5 2.856371+1 1.550160-5 3.106293+1 1.551105-5 3.184988+1 1.553938-5 3.400535+1 1.554883-5 3.463940+1 1.556300-5 3.549532+1 1.557717-5 3.622396+1 1.558661-5 3.663224+1 1.560078-5 3.711938+1 1.561495-5 3.744681+1 1.563384-5 3.762057+1 1.564801-5 3.754644+1 1.565273-5 3.748216+1 1.567163-5 3.702675+1 1.568579-5 3.647937+1 1.569524-5 3.601903+1 1.571177-5 3.503746+1 1.572830-5 3.384595+1 1.573066-5 3.365974+1 1.576608-5 3.045057+1 1.578062-5 2.894607+1 1.580623-5 2.611693+1 1.582131-5 2.438360+1 1.583402-5 2.290628+1 1.585051-5 2.099314+1 1.586723-5 1.908274+1 1.587943-5 1.772463+1 1.589596-5 1.595353+1 1.591423-5 1.411257+1 1.593611-5 1.210122+1 1.598393-5 8.577982+0 1.599278-5 8.067532+0 1.603057-5 6.398063+0 1.603529-5 6.246359+0 1.605182-5 5.811525+0 1.606835-5 5.521187+0 1.608724-5 5.356522+0 1.609669-5 5.337319+0 1.610613-5 5.358001+0 1.611609-5 5.421130+0 1.612888-5 5.561377+0 1.615287-5 5.990091+0 1.632078-5 1.327128+1 1.634087-5 1.447253+1 1.636096-5 1.571054+1 1.640113-5 1.824706+1 1.644130-5 2.076546+1 1.648147-5 2.312846+1 1.650156-5 2.420593+1 1.652164-5 2.519051+1 1.654173-5 2.606662+1 1.656181-5 2.682149+1 1.658190-5 2.744606+1 1.660199-5 2.793586+1 1.662207-5 2.829164+1 1.664216-5 2.851991+1 1.667229-5 2.865206+1 1.668233-5 2.864959+1 1.677271-5 2.827496+1 1.680284-5 2.835445+1 1.681621-5 2.848366+1 1.683626-5 2.881875+1 1.685631-5 2.935486+1 1.687356-5 3.000230+1 1.689944-5 3.133954+1 1.691446-5 3.233667+1 1.692532-5 3.316570+1 1.694443-5 3.485563+1 1.696353-5 3.685458+1 1.700370-5 4.213148+1 1.704387-5 4.897443+1 1.710403-5 6.252865+1 1.712422-5 6.810000+1 1.716216-5 8.024888+1 1.718660-5 8.943611+1 1.722789-5 1.080268+2 1.727453-5 1.351672+2 1.731046-5 1.621418+2 1.735175-5 2.019811+2 1.737987-5 2.360280+2 1.741368-5 2.861640+2 1.747863-5 4.181178+2 1.753195-5 5.697187+2 1.756125-5 6.719280+2 1.758513-5 7.654831+2 1.760397-5 8.455904+2 1.763152-5 9.722758+2 1.764221-5 1.024167+3 1.768656-5 1.252640+3 1.769199-5 1.281688+3 1.772999-5 1.487577+3 1.774492-5 1.568123+3 1.777342-5 1.717541+3 1.779484-5 1.823228+3 1.780846-5 1.886153+3 1.782634-5 1.962407+3 1.783784-5 2.007014+3 1.784933-5 2.047725+3 1.786292-5 2.090352+3 1.788076-5 2.136382+3 1.789939-5 2.171378+3 1.790912-5 2.183999+3 1.792812-5 2.196955+3 1.794712-5 2.194002+3 1.795604-5 2.187058+3 1.797761-5 2.155637+3 1.799516-5 2.115142+3 1.801310-5 2.060540+3 1.803124-5 1.992773+3 1.804952-5 1.912865+3 1.806503-5 1.837125+3 1.808198-5 1.747240+3 1.809948-5 1.648184+3 1.811670-5 1.546126+3 1.813445-5 1.437974+3 1.815166-5 1.331979+3 1.817059-5 1.215999+3 1.819009-5 1.099241+3 1.820900-5 9.906941+2 1.823286-5 8.628420+2 1.829038-5 6.114369+2 1.833427-5 4.854905+2 1.834391-5 4.660970+2 1.835614-5 4.458449+2 1.836131-5 4.387545+2 1.837027-5 4.285021+2 1.838020-5 4.201437+2 1.839703-5 4.131302+2 1.840440-5 4.128381+2 1.841386-5 4.148960+2 1.842208-5 4.188608+2 1.842969-5 4.243122+2 1.843404-5 4.281750+2 1.844165-5 4.362261+2 1.846447-5 4.698910+2 1.847359-5 4.871454+2 1.851765-5 5.981748+2 1.856692-5 7.672939+2 1.859383-5 8.744722+2 1.861803-5 9.769056+2 1.863655-5 1.057867+3 1.865168-5 1.124887+3 1.867154-5 1.213151+3 1.869389-5 1.311501+3 1.870308-5 1.351321+3 1.872410-5 1.440056+3 1.874511-5 1.524568+3 1.875155-5 1.549416+3 1.877408-5 1.631822+3 1.879380-5 1.697277+3 1.881256-5 1.752978+3 1.882730-5 1.791763+3 1.885114-5 1.844550+3 1.887532-5 1.884652+3 1.889016-5 1.902244+3 1.890202-5 1.912389+3 1.891704-5 1.920197+3 1.894162-5 1.920841+3 1.894653-5 1.919181+3 1.898581-5 1.885288+3 1.900255-5 1.860274+3 1.903614-5 1.793148+3 1.905619-5 1.743619+3 1.909319-5 1.637571+3 1.911054-5 1.582842+3 1.913548-5 1.500597+3 1.916724-5 1.392881+3 1.921303-5 1.239937+3 1.926023-5 1.096255+3 1.930062-5 9.921453+2 1.932124-5 9.472479+2 1.934328-5 9.059680+2 1.935112-5 8.930026+2 1.937760-5 8.559693+2 1.940025-5 8.324905+2 1.941633-5 8.202781+2 1.943615-5 8.100773+2 1.945929-5 8.045041+2 1.947788-5 8.045216+2 1.950243-5 8.099102+2 1.953189-5 8.230252+2 1.957287-5 8.497094+2 1.965312-5 9.111503+2 1.969029-5 9.357900+2 1.972221-5 9.522295+2 1.975555-5 9.636808+2 1.978800-5 9.688234+2 1.982580-5 9.675592+2 1.986816-5 9.580424+2 1.991843-5 9.385251+2 1.997432-5 9.111303+2 2.008876-5 8.555257+2 2.016307-5 8.275143+2 2.024258-5 8.046922+2 2.052057-5 7.420319+2 2.078939-5 6.807930+2 2.127912-5 5.770996+2 2.155421-5 5.306376+2 2.180842-5 4.928342+2 2.205142-5 4.605405+2 2.229536-5 4.316416+2 2.254130-5 4.055804+2 2.280000-5 3.810923+2 2.330000-5 3.408758+2 2.372366-5 3.124815+2 2.398833-5 2.971053+2 2.426610-5 2.825803+2 2.486072-5 2.558610+2 2.540973-5 2.353376+2 2.575255-5 2.242745+2 2.645472-5 2.046329+2 2.708069-5 1.901043+2 2.770000-5 1.778001+2 2.844428-5 1.652027+2 2.952347-5 1.501923+2 3.037437-5 1.404406+2 3.162278-5 1.284794+2 3.280732-5 1.190736+2 3.353000-5 1.140465+2 3.579228-5 1.015853+2 3.779115-5 9.299727+1 4.064287-5 8.344179+1 4.377305-5 7.537634+1 4.704619-5 6.877662+1 4.900000-5 6.550942+1 5.163354-5 6.195831+1 6.000000-5 5.316993+1 6.355198-5 5.001726+1 6.792910-5 4.644931+1 7.082146-5 4.417297+1 7.413102-5 4.170872+1 7.762471-5 3.914574+1 8.150000-5 3.633108+1 8.728751-5 3.215339+1 9.269919-5 2.816312+1 9.624731-5 2.547974+1 1.000000-4 2.263657+1 1.029408-4 2.045885+1 1.060953-4 1.801452+1 1.072836-4 1.705493+1 1.100754-4 1.468494+1 1.115934-4 1.334407+1 1.133630-4 1.180785+1 1.138867-4 1.137896+1 1.147580-4 1.065248+1 1.151180-4 1.033006+1 1.154875-4 9.978663+0 1.160503-4 9.405651+0 1.165326-4 8.894331+0 1.175070-4 7.917677+0 1.179445-4 7.551034+0 1.183820-4 7.246380+0 1.186250-4 7.104543+0 1.190829-4 6.885745+0 1.194764-4 6.739677+0 1.201175-4 6.555354+0 1.207228-4 6.406057+0 1.214717-4 6.211431+0 1.221000-4 6.023483+0 1.230188-4 5.711981+0 1.252000-4 4.966697+0 1.257000-4 4.827538+0 1.263500-4 4.679205+0 1.269000-4 4.588419+0 1.275000-4 4.531667+0 1.283661-4 4.538248+0 1.292924-4 4.675899+0 1.301315-4 4.931469+0 1.307270-4 5.195364+0 1.314911-4 5.640161+0 1.323466-4 6.284075+0 1.332545-4 7.137597+0 1.345086-4 8.599842+0 1.358313-4 1.047662+1 1.371339-4 1.262720+1 1.387495-4 1.565021+1 1.390192-4 1.618795+1 1.406269-4 1.955789+1 1.423000-4 2.330049+1 1.425000-4 2.376061+1 1.442500-4 2.788111+1 1.465000-4 3.337213+1 1.487672-4 3.908652+1 1.492500-4 4.032841+1 1.513561-4 4.585367+1 1.520198-4 4.763327+1 1.540000-4 5.306210+1 1.550000-4 5.587641+1 1.570000-4 6.165005+1 1.595572-4 6.931150+1 1.610000-4 7.377998+1 1.640590-4 8.352151+1 1.670000-4 9.318561+1 1.680000-4 9.652118+1 1.705000-4 1.049249+2 1.717908-4 1.092856+2 1.740000-4 1.167469+2 1.757924-4 1.227788+2 1.780000-4 1.301395+2 1.800000-4 1.367147+2 1.843644-4 1.506268+2 1.895355-4 1.662926+2 1.935984-4 1.779033+2 2.002454-4 1.956232+2 2.069548-4 2.120362+2 2.116972-4 2.226120+2 2.171322-4 2.340446+2 2.219192-4 2.430123+2 2.259266-4 2.497159+2 2.288405-4 2.554141+2 2.302864-4 2.600778+2 2.314513-4 2.654434+2 2.327450-4 2.731343+2 2.340966-4 2.823487+2 2.354954-4 2.915503+2 2.363550-4 2.963421+2 2.377673-4 3.024161+2 2.400742-4 3.099975+2 2.414588-4 3.153203+2 2.441297-4 3.280012+2 2.458630-4 3.356934+2 2.471175-4 3.401842+2 2.487929-4 3.449663+2 2.581783-4 3.675755+2 2.645405-4 3.814077+2 2.725762-4 3.973125+2 2.798601-4 4.101026+2 2.875743-4 4.217498+2 2.978005-4 4.347345+2 3.038183-4 4.410821+2 3.066484-4 4.451507+2 3.092574-4 4.502645+2 3.213106-4 4.808659+2 3.287828-4 4.962441+2 3.362184-4 5.078116+2 3.486185-4 5.237633+2 3.594431-4 5.351851+2 3.772594-4 5.513407+2 3.961835-4 5.655236+2 4.374000-4 5.883043+2 4.680694-4 6.003746+2 5.101298-4 6.113662+2 5.559042-4 6.185488+2 6.053219-4 6.221972+2 6.683439-4 6.220834+2 7.088378-4 6.189866+2 7.964481-4 6.094517+2 8.896975-4 5.966974+2 9.359443-4 5.892384+2 1.038298-3 5.694924+2 1.098057-3 5.573467+2 1.152778-3 5.455537+2 1.216186-3 5.310354+2 1.277747-3 5.155521+2 1.343256-3 4.964211+2 1.400393-3 4.780563+2 1.452889-3 4.598047+2 1.499101-3 4.422670+2 1.541980-3 4.242032+2 1.576740-3 4.078299+2 1.609050-3 3.907774+2 1.636158-3 3.746692+2 1.661021-3 3.578436+2 1.684745-3 3.391854+2 1.704799-3 3.208786+2 1.716579-3 3.086194+2 1.728623-3 2.944165+2 1.740823-3 2.776157+2 1.750877-3 2.613535+2 1.759271-3 2.459077+2 1.765913-3 2.327405+2 1.779031-3 2.073905+2 1.782822-3 2.013476+2 1.786715-3 1.963035+2 1.790553-3 1.927687+2 1.792707-3 1.914983+2 1.797149-3 1.906348+2 1.800616-3 1.916494+2 1.803676-3 1.937474+2 1.805134-3 1.951234+2 1.807982-3 1.984558+2 1.812954-3 2.060354+2 1.818571-3 2.165565+2 1.829397-3 2.392310+2 1.833844-3 2.485203+2 1.838836-3 2.586670+2 1.864959-3 3.133746+2 1.882541-3 3.573805+2 1.887140-3 3.688827+2 1.893337-3 3.836688+2 1.901010-3 4.003586+2 1.907376-3 4.126322+2 1.914044-3 4.239565+2 1.924072-3 4.383648+2 1.936083-3 4.523281+2 1.949778-3 4.650355+2 1.962136-3 4.742380+2 1.977320-3 4.830225+2 1.991330-3 4.888198+2 2.022725-3 4.975540+2 2.031234-3 5.013308+2 2.039890-3 5.070192+2 2.051907-3 5.183392+2 2.076552-3 5.483457+2 2.087003-3 5.603537+2 2.097382-3 5.706868+2 2.109406-3 5.806596+2 2.122753-3 5.897317+2 2.137684-3 5.981818+2 2.158482-3 6.080874+2 2.179412-3 6.165818+2 2.227786-3 6.323736+2 2.286083-3 6.463808+2 2.346338-3 6.567501+2 2.418106-3 6.648739+2 2.517723-3 6.715847+2 2.634397-3 6.750557+2 2.762168-3 6.744469+2 2.957758-3 6.671224+2 3.145728-3 6.560429+2 3.378414-3 6.391161+2 3.701843-3 6.129161+2 4.068262-3 5.819387+2 4.531992-3 5.440507+2 4.982743-3 5.094360+2 5.743072-3 4.570261+2 6.364290-3 4.195397+2 6.972972-3 3.864796+2 7.640557-3 3.538443+2 8.219191-3 3.280431+2 8.871325-3 3.016174+2 9.637565-3 2.735461+2 1.037695-2 2.491973+2 1.116492-2 2.257296+2 1.161701-2 2.132003+2 1.234663-2 1.941938+2 1.293672-2 1.795930+2 1.341782-2 1.678906+2 1.377408-2 1.590695+2 1.408078-2 1.510889+2 1.431062-2 1.445637+2 1.441650-2 1.412804+2 1.451160-2 1.380906+2 1.459107-2 1.351614+2 1.466176-2 1.322582+2 1.472196-2 1.294875+2 1.480311-2 1.252272+2 1.491080-2 1.188210+2 1.500167-2 1.136726+2 1.505477-2 1.113980+2 1.509466-2 1.102794+2 1.514144-2 1.097446+2 1.517131-2 1.098645+2 1.520776-2 1.104800+2 1.526107-2 1.121844+2 1.533259-2 1.154906+2 1.545272-2 1.216380+2 1.551605-2 1.244203+2 1.559790-2 1.272608+2 1.568725-2 1.294855+2 1.581476-2 1.315573+2 1.595675-2 1.329593+2 1.613598-2 1.339562+2 1.635188-2 1.344285+2 1.660414-2 1.343245+2 1.702301-2 1.332054+2 1.749402-2 1.311224+2 1.822110-2 1.270862+2 1.925280-2 1.207671+2 2.025169-2 1.144978+2 2.179756-2 1.051652+2 2.377655-2 9.443254+1 2.567763-2 8.535286+1 2.829305-2 7.461515+1 3.128189-2 6.453126+1 3.523930-2 5.396044+1 3.783345-2 4.830796+1 4.175796-2 4.113288+1 5.159890-2 2.883284+1 5.959589-2 2.248422+1 8.609875-2 1.173701+1 1.085758-1 7.741319+0 1.297641-1 5.583682+0 1.573614-1 3.894951+0 1.985841-1 2.504270+0 2.691535-1 1.394966+0 3.785515-1 7.182447-1 5.543065-1 3.393608-1 9.093896-1 1.271665-1 2.235892+0 2.113644-2 6.752287+0 2.319604-3 2.039158+1 2.543642-4 6.158159+1 2.789078-5 1.859734+2 3.058167-6 5.616308+2 3.353214-7 1.995262+3 2.656826-8 6.309573+3 2.656826-9 1.995262+4 2.65683-10 6.309573+4 2.65683-11 1.000000+5 1.05770-11 1 37000 7 7 8.547000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.699700-6 1.258900-6 2.693800-6 1.584900-6 4.269300-6 1.995300-6 6.766400-6 2.511900-6 1.072400-5 3.162300-6 1.699600-5 3.981100-6 2.693700-5 5.011900-6 4.269300-5 6.309600-6 6.766300-5 7.943300-6 1.072400-4 1.000000-5 1.699600-4 1.258900-5 2.693600-4 1.584900-5 4.266600-4 1.995300-5 6.757200-4 2.511900-5 1.070300-3 3.162300-5 1.695500-3 3.981100-5 2.686300-3 5.011900-5 4.255700-3 6.309600-5 6.741100-3 7.943300-5 1.065800-2 1.000000-4 1.683700-2 1.258900-4 2.658500-2 1.584900-4 4.185000-2 1.995300-4 6.566000-2 2.511900-4 1.024000-1 3.162300-4 1.581900-1 3.981100-4 2.404200-1 5.011900-4 3.577200-1 6.309600-4 5.179400-1 7.943300-4 7.264800-1 1.000000-3 9.897300-1 1.258900-3 1.320700+0 1.584900-3 1.745000+0 1.995300-3 2.290200+0 2.511900-3 2.970500+0 3.162300-3 3.793700+0 3.981100-3 4.764800+0 5.011900-3 5.872100+0 6.309600-3 7.069400+0 7.943300-3 8.334600+0 1.000000-2 9.677400+0 1.258900-2 1.106600+1 1.584900-2 1.250200+1 1.995300-2 1.384700+1 2.511900-2 1.502900+1 3.162300-2 1.599900+1 3.981100-2 1.664600+1 5.011900-2 1.715100+1 6.309600-2 1.728000+1 7.943300-2 1.713600+1 1.000000-1 1.676000+1 1.258900-1 1.617800+1 1.584900-1 1.542800+1 1.995300-1 1.455300+1 2.511900-1 1.359900+1 3.162300-1 1.260000+1 3.981100-1 1.159000+1 5.011900-1 1.059000+1 6.309600-1 9.616800+0 7.943300-1 8.679700+0 1.000000+0 7.786300+0 1.258900+0 6.942200+0 1.584900+0 6.150300+0 1.995300+0 5.414200+0 2.511900+0 4.736200+0 3.162300+0 4.117700+0 3.981100+0 3.559100+0 5.011900+0 3.059000+0 6.309600+0 2.615700+0 7.943300+0 2.225800+0 1.000000+1 1.885700+0 1.258900+1 1.591100+0 1.584900+1 1.337700+0 1.995300+1 1.120900+0 2.511900+1 9.363900-1 3.162300+1 7.801700-1 3.981100+1 6.484300-1 5.011900+1 5.377400-1 6.309600+1 4.450500-1 7.943300+1 3.676700-1 1.000000+2 3.032400-1 1.258900+2 2.497300-1 1.584900+2 2.053700-1 1.995300+2 1.686800-1 2.511900+2 1.383800-1 3.162300+2 1.134000-1 3.981100+2 9.283300-2 5.011900+2 7.592700-2 6.309600+2 6.204600-2 7.943300+2 5.066100-2 1.000000+3 4.133300-2 1.258900+3 3.369800-2 1.584900+3 2.745500-2 1.995300+3 2.235400-2 2.511900+3 1.819000-2 3.162300+3 1.479300-2 3.981100+3 1.202400-2 5.011900+3 9.767700-3 6.309600+3 7.931000-3 7.943300+3 6.436600-3 1.000000+4 5.221400-3 1.258900+4 4.233800-3 1.584900+4 3.431600-3 1.995300+4 2.780200-3 2.511900+4 2.251600-3 3.162300+4 1.822800-3 3.981100+4 1.475200-3 5.011900+4 1.193400-3 6.309600+4 9.651700-4 7.943300+4 7.803200-4 1.000000+5 6.306700-4 1 37000 7 7 8.547000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997264-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994176-4 2.511886-4 2.510168-4 3.162278-4 3.159564-4 3.981072-4 3.976796-4 5.011872-4 5.005140-4 6.309573-4 6.299041-4 7.943282-4 7.926824-4 1.000000-3 9.974279-4 1.258925-3 1.254908-3 1.584893-3 1.578575-3 1.995262-3 1.985336-3 2.511886-3 2.496280-3 3.162278-3 3.137800-3 3.981072-3 3.942705-3 5.011872-3 4.952079-3 6.309573-3 6.216603-3 7.943282-3 7.798985-3 1.000000-2 9.775982-3 1.258925-2 1.224101-2 1.584893-2 1.531062-2 1.995262-2 1.912309-2 2.511886-2 2.384795-2 3.162278-2 2.968625-2 3.981072-2 3.687414-2 5.011872-2 4.569620-2 6.309573-2 5.648090-2 7.943282-2 6.961943-2 1.000000-1 8.550247-2 1.258925-1 1.046790-1 1.584893-1 1.277427-1 1.995262-1 1.553210-1 2.511886-1 1.882404-1 3.162278-1 2.273817-1 3.981072-1 2.737602-1 5.011872-1 3.285509-1 6.309573-1 3.931948-1 7.943282-1 4.691698-1 1.000000+0 5.586676-1 1.258925+0 6.640307-1 1.584893+0 7.883903-1 1.995262+0 9.355098-1 2.511886+0 1.110050+0 3.162278+0 1.317767+0 3.981072+0 1.565765+0 5.011872+0 1.862553+0 6.309573+0 2.218695+0 7.943282+0 2.647154+0 1.000000+1 3.163766+0 1.258925+1 3.787789+0 1.584893+1 4.542916+0 1.995262+1 5.458112+0 2.511886+1 6.568856+0 3.162278+1 7.918822+0 3.981072+1 9.561280+0 5.011872+1 1.156205+1 6.309573+1 1.400166+1 7.943282+1 1.697918+1 1.000000+2 2.061667+1 1.258925+2 2.506394+1 1.584893+2 3.050558+1 1.995262+2 3.716879+1 2.511886+2 4.533394+1 3.162278+2 5.534652+1 3.981072+2 6.763090+1 5.011872+2 8.271431+1 6.309573+2 1.012438+2 7.943282+2 1.240195+2 1.000000+3 1.520282+2 1.258925+3 1.864917+2 1.584893+3 2.289169+2 1.995262+3 2.811793+2 2.511886+3 3.455664+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88183-10 1.995262-5 1.090595-9 2.511886-5 1.728449-9 3.162278-5 2.739453-9 3.981072-5 4.341814-9 5.011872-5 6.880971-9 6.309573-5 1.090480-8 7.943282-5 1.727323-8 1.000000-4 2.736383-8 1.258925-4 4.335532-8 1.584893-4 6.864405-8 1.995262-4 1.086475-7 2.511886-4 1.718195-7 3.162278-4 2.713660-7 3.981072-4 4.275856-7 5.011872-4 6.732495-7 6.309573-4 1.053271-6 7.943282-4 1.645816-6 1.000000-3 2.572143-6 1.258925-3 4.017611-6 1.584893-3 6.318235-6 1.995262-3 9.926659-6 2.511886-3 1.560655-5 3.162278-3 2.447794-5 3.981072-3 3.836645-5 5.011872-3 5.979295-5 6.309573-3 9.297092-5 7.943282-3 1.442978-4 1.000000-2 2.240182-4 1.258925-2 3.482430-4 1.584893-2 5.383142-4 1.995262-2 8.295303-4 2.511886-2 1.270919-3 3.162278-2 1.936522-3 3.981072-2 2.936582-3 5.011872-2 4.422528-3 6.309573-2 6.614832-3 7.943282-2 9.813391-3 1.000000-1 1.449753-2 1.258925-1 2.121351-2 1.584893-1 3.074666-2 1.995262-1 4.420520-2 2.511886-1 6.294821-2 3.162278-1 8.884603-2 3.981072-1 1.243469-1 5.011872-1 1.726363-1 6.309573-1 2.377625-1 7.943282-1 3.251584-1 1.000000+0 4.413324-1 1.258925+0 5.948947-1 1.584893+0 7.965029-1 1.995262+0 1.059752+0 2.511886+0 1.401836+0 3.162278+0 1.844510+0 3.981072+0 2.415307+0 5.011872+0 3.149319+0 6.309573+0 4.090879+0 7.943282+0 5.296128+0 1.000000+1 6.836234+0 1.258925+1 8.801465+0 1.584893+1 1.130602+1 1.995262+1 1.449451+1 2.511886+1 1.855001+1 3.162278+1 2.370396+1 3.981072+1 3.024944+1 5.011872+1 3.855668+1 6.309573+1 4.909408+1 7.943282+1 6.245365+1 1.000000+2 7.938333+1 1.258925+2 1.008286+2 1.584893+2 1.279837+2 1.995262+2 1.623574+2 2.511886+2 2.058547+2 3.162278+2 2.608812+2 3.981072+2 3.304763+2 5.011872+2 4.184729+2 6.309573+2 5.297136+2 7.943282+2 6.703088+2 1.000000+3 8.479718+2 1.258925+3 1.072434+3 1.584893+3 1.355976+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.020000-6 3.343884+5 4.050000-6 3.164380+5 4.168694-6 2.593343+5 4.265795-6 2.202750+5 4.365158-6 1.862785+5 4.466836-6 1.567117+5 4.570882-6 1.311552+5 4.677351-6 1.090577+5 4.786301-6 9.011343+4 4.880000-6 7.629230+4 4.960000-6 6.604680+4 5.050000-6 5.602800+4 5.150000-6 4.652200+4 5.248075-6 3.862637+4 5.350000-6 3.169860+4 5.432503-6 2.691665+4 5.520000-6 2.254740+4 5.600000-6 1.911200+4 5.688529-6 1.585475+4 5.770000-6 1.330360+4 5.850000-6 1.116490+4 5.960000-6 8.740360+3 6.230000-6 4.803290+3 6.290000-6 4.238000+3 6.350000-6 3.764130+3 6.400000-6 3.433120+3 6.440000-6 3.206910+3 6.480000-6 3.012750+3 6.520000-6 2.848670+3 6.550000-6 2.744150+3 6.590000-6 2.628220+3 6.620000-6 2.557870+3 6.660000-6 2.484900+3 6.685000-6 2.450750+3 6.715000-6 2.420830+3 6.750000-6 2.400400+3 6.790000-6 2.395050+3 6.830000-6 2.407680+3 6.870000-6 2.437080+3 6.910000-6 2.482130+3 6.960000-6 2.558810+3 7.010000-6 2.656300+3 7.070000-6 2.798180+3 7.130000-6 2.964490+3 7.200000-6 3.185830+3 7.550000-6 4.613990+3 7.673615-6 5.202974+3 7.770000-6 5.679870+3 7.880000-6 6.236830+3 8.000000-6 6.853610+3 8.128305-6 7.517024+3 8.270000-6 8.247280+3 8.420000-6 9.010590+3 8.550000-6 9.659410+3 8.709636-6 1.043531+4 8.850000-6 1.109560+4 9.050000-6 1.199680+4 9.225714-6 1.274764+4 9.440609-6 1.361232+4 9.660509-6 1.443537+4 9.885531-6 1.521378+4 1.011579-5 1.594532+4 1.035142-5 1.662813+4 1.060000-5 1.727970+4 1.096478-5 1.811589+4 1.135011-5 1.885919+4 1.174898-5 1.949233+4 1.216186-5 2.001980+4 1.270000-5 2.054140+4 1.330000-5 2.094100+4 1.396368-5 2.120655+4 1.462177-5 2.132933+4 1.548817-5 2.133755+4 1.659587-5 2.117676+4 1.778279-5 2.086308+4 1.927525-5 2.034700+4 1.975000-5 2.015281+4 1.975000-5 7.892975+7 1.995262-5 7.338064+7 2.073000-5 5.507215+7 2.073000-5 9.363454+7 2.114000-5 8.063632+7 2.137962-5 7.412368+7 2.170000-5 6.632839+7 2.190000-5 6.203047+7 2.213095-5 5.751275+7 2.238721-5 5.303594+7 2.270000-5 4.818015+7 2.280000-5 4.677356+7 2.330000-5 4.051566+7 2.371374-5 3.621500+7 2.426610-5 3.143752+7 2.454709-5 2.937691+7 2.485000-5 2.733042+7 2.500000-5 2.639437+7 2.540973-5 2.407882+7 2.580000-5 2.212229+7 2.610000-5 2.077491+7 2.660725-5 1.874281+7 2.691535-5 1.764761+7 2.770000-5 1.522231+7 2.786121-5 1.478456+7 2.900000-5 1.212620+7 2.917427-5 1.178418+7 3.019952-5 9.992601+6 3.054921-5 9.464476+6 3.162278-5 8.066012+6 3.235937-5 7.259207+6 3.350000-5 6.210168+6 3.467369-5 5.325692+6 3.589219-5 4.574181+6 3.672000-5 4.140268+6 3.672000-5 4.184750+6 3.725000-5 3.938854+6 3.758374-5 3.793723+6 3.770000-5 3.745421+6 3.801894-5 3.617003+6 3.850000-5 3.434164+6 3.900000-5 3.257052+6 3.950000-5 3.092023+6 3.981072-5 2.995096+6 4.000000-5 2.938474+6 4.070000-5 2.741229+6 4.120975-5 2.608854+6 4.130000-5 2.586658+6 4.180000-5 2.468170+6 4.260000-5 2.293857+6 4.330000-5 2.155249+6 4.415704-5 2.001234+6 4.420000-5 1.994070+6 4.466836-5 1.917986+6 4.518559-5 1.839563+6 4.623810-5 1.693636+6 4.677351-5 1.625757+6 4.731513-5 1.562655+6 4.841724-5 1.444880+6 4.850000-5 1.436710+6 4.900000-5 1.388513+6 4.954502-5 1.340053+6 5.080000-5 1.237785+6 5.128614-5 1.202137+6 5.230000-5 1.134184+6 5.248075-5 1.122634+6 5.370318-5 1.051824+6 5.450000-5 1.010034+6 5.500000-5 9.862884+5 5.559043-5 9.591686+5 5.580000-5 9.498696+5 5.650000-5 9.205562+5 5.688529-5 9.057872+5 5.800000-5 8.647516+5 5.821032-5 8.575697+5 5.900000-5 8.327465+5 6.000000-5 8.026999+5 6.095369-5 7.777917+5 6.165950-5 7.599937+5 6.309573-5 7.286824+5 6.350000-5 7.201396+5 6.382635-5 7.137550+5 6.531306-5 6.869757+5 6.580000-5 6.791570+5 6.606934-5 6.750534+5 6.730000-5 6.563913+5 6.760830-5 6.521819+5 6.839116-5 6.420991+5 6.918310-5 6.322419+5 6.950000-5 6.282584+5 7.161434-5 6.054699+5 7.300000-5 5.930212+5 7.400000-5 5.840288+5 7.413102-5 5.829216+5 7.650000-5 5.650847+5 7.673615-5 5.634490+5 7.762471-5 5.578817+5 7.900000-5 5.490917+5 8.000000-5 5.431457+5 8.035261-5 5.412439+5 8.150000-5 5.351559+5 8.300000-5 5.277485+5 8.317638-5 5.268480+5 8.413951-5 5.223269+5 8.709636-5 5.095240+5 8.912509-5 5.020687+5 9.120108-5 4.942913+5 9.225714-5 4.905977+5 9.440609-5 4.837643+5 9.549926-5 4.803764+5 1.000000-4 4.667618+5 1.011579-4 4.635425+5 1.023293-4 4.604459+5 1.096478-4 4.412410+5 1.100000-4 4.403355+5 1.174898-4 4.221554+5 1.175700-4 4.219617+5 1.175700-4 6.744519+5 1.192000-4 6.865760+5 1.192000-4 8.569524+5 1.195000-4 8.612092+5 1.204670-4 8.764089+5 1.205000-4 8.769375+5 1.214000-4 8.930150+5 1.215000-4 8.950147+5 1.221000-4 9.077469+5 1.225000-4 9.172854+5 1.230269-4 9.308260+5 1.235000-4 9.443762+5 1.236000-4 9.474353+5 1.244515-4 9.762497+5 1.251000-4 1.001965+6 1.252000-4 1.006281+6 1.258925-4 1.038237+6 1.260000-4 1.043623+6 1.266000-4 1.075590+6 1.267000-4 1.081308+6 1.273503-4 1.120856+6 1.274000-4 1.123966+6 1.275000-4 1.130521+6 1.285000-4 1.201563+6 1.295000-4 1.284591+6 1.305000-4 1.377804+6 1.322000-4 1.561101+6 1.333521-4 1.700073+6 1.335000-4 1.719015+6 1.340000-4 1.782597+6 1.348000-4 1.888578+6 1.350000-4 1.915120+6 1.355000-4 1.983414+6 1.358000-4 2.024840+6 1.365000-4 2.121072+6 1.369000-4 2.177123+6 1.375000-4 2.259989+6 1.380384-4 2.335383+6 1.385000-4 2.398854+6 1.390000-4 2.467511+6 1.396368-4 2.553720+6 1.400000-4 2.602780+6 1.405000-4 2.668157+6 1.412538-4 2.766800+6 1.415000-4 2.798015+6 1.423000-4 2.898515+6 1.425000-4 2.922870+6 1.435000-4 3.043455+6 1.450000-4 3.214328+6 1.465000-4 3.374744+6 1.479108-4 3.515494+6 1.485000-4 3.573342+6 1.496236-4 3.679170+6 1.500000-4 3.713768+6 1.513561-4 3.833951+6 1.520000-4 3.889490+6 1.531087-4 3.980358+6 1.540000-4 4.054656+6 1.550000-4 4.135260+6 1.570000-4 4.288980+6 1.580000-4 4.363790+6 1.603245-4 4.530217+6 1.610000-4 4.577024+6 1.640590-4 4.777238+6 1.649400-4 4.833213+6 1.650000-4 4.836732+6 1.659587-4 4.893163+6 1.670000-4 4.954870+6 1.680000-4 5.011469+6 1.705000-4 5.141751+6 1.717908-4 5.205335+6 1.737801-4 5.292538+6 1.740000-4 5.302214+6 1.757924-4 5.374845+6 1.778279-4 5.445867+6 1.780000-4 5.451886+6 1.800000-4 5.514532+6 1.819701-4 5.565761+6 1.820000-4 5.566539+6 1.840772-4 5.613117+6 1.865000-4 5.655780+6 1.883649-4 5.682774+6 1.905461-4 5.705158+6 1.930000-4 5.723975+6 1.950000-4 5.731177+6 1.972423-4 5.734137+6 1.995262-4 5.737101+6 2.000000-4 5.736002+6 2.018366-4 5.727995+6 2.041738-4 5.717836+6 2.065380-4 5.707728+6 2.150000-4 5.631814+6 2.187762-4 5.582743+6 2.220000-4 5.541795+6 2.238721-4 5.518311+6 2.330000-4 5.371547+6 2.372900-4 5.288992+6 2.372900-4 5.761698+6 2.400000-4 5.707999+6 2.426610-4 5.656300+6 2.429000-4 5.650883+6 2.448000-4 5.604854+6 2.466900-4 5.558397+6 2.466900-4 5.766525+6 2.477000-4 5.741938+6 2.507000-4 5.671837+6 2.511886-4 5.661271+6 2.516200-4 5.651174+6 2.530000-4 5.617377+6 2.550000-4 5.571223+6 2.590000-4 5.484619+6 2.600160-4 5.463611+6 2.630268-4 5.402433+6 2.660725-4 5.333689+6 2.700000-4 5.247708+6 2.754229-4 5.132044+6 2.760000-4 5.119531+6 2.770000-4 5.097586+6 2.851018-4 4.917144+6 2.869000-4 4.878160+6 2.900000-4 4.812384+6 2.917427-4 4.776141+6 2.951209-4 4.701820+6 2.985383-4 4.628769+6 3.090295-4 4.417353+6 3.100000-4 4.397849+6 3.126079-4 4.344698+6 3.131800-4 4.333088+6 3.131800-4 4.486580+6 3.141000-4 4.473204+6 3.150000-4 4.459703+6 3.162278-4 4.440609+6 3.177000-4 4.416792+6 3.193000-4 4.390063+6 3.210000-4 4.360892+6 3.230000-4 4.325903+6 3.235937-4 4.315283+6 3.255000-4 4.281532+6 3.273407-4 4.248554+6 3.280000-4 4.236852+6 3.311311-4 4.176896+6 3.355000-4 4.093711+6 3.467369-4 3.892345+6 3.500000-4 3.833120+6 3.600000-4 3.660104+6 3.630781-4 3.609567+6 3.650000-4 3.578300+6 3.700000-4 3.498703+6 3.850000-4 3.267482+6 3.981072-4 3.083881+6 4.027170-4 3.021118+6 4.100000-4 2.926235+6 4.120975-4 2.899685+6 4.216965-4 2.782032+6 4.265795-4 2.725199+6 4.350000-4 2.628261+6 4.365158-4 2.611333+6 4.430000-4 2.540211+6 4.518559-4 2.447796+6 4.570882-4 2.395742+6 4.600000-4 2.367169+6 4.623810-4 2.343625+6 4.700000-4 2.270082+6 4.897788-4 2.095354+6 4.954502-4 2.049052+6 5.011872-4 2.002264+6 5.128614-4 1.912134+6 5.150000-4 1.896323+6 5.248075-4 1.826376+6 5.370318-4 1.744482+6 5.432503-4 1.704685+6 5.500000-4 1.662089+6 5.623413-4 1.588224+6 5.754399-4 1.514978+6 5.888437-4 1.444684+6 5.956621-4 1.410370+6 6.025596-4 1.376517+6 6.237348-4 1.279747+6 6.382635-4 1.218830+6 6.456542-4 1.189526+6 6.531306-4 1.160669+6 6.839116-4 1.051343+6 6.918310-4 1.025565+6 7.000000-4 9.999296+5 7.079458-4 9.759215+5 7.161434-4 9.516831+5 7.244360-4 9.280768+5 7.328245-4 9.049235+5 7.413102-4 8.823939+5 7.585776-4 8.387473+5 7.673615-4 8.177455+5 7.800000-4 7.887806+5 7.852356-4 7.771188+5 7.943282-4 7.574746+5 8.035261-4 7.382345+5 8.128305-4 7.195071+5 8.413951-4 6.659011+5 8.609938-4 6.324132+5 8.709636-4 6.162058+5 8.810489-4 6.004122+5 8.912509-4 5.849531+5 9.015711-4 5.697876+5 9.200000-4 5.441256+5 9.225714-4 5.406674+5 9.549926-4 4.997537+5 9.700000-4 4.822249+5 9.772372-4 4.740586+5 1.000000-3 4.494182+5 1.011579-3 4.376062+5 1.059254-3 3.933909+5 1.071519-3 3.830355+5 1.083927-3 3.728287+5 1.096478-3 3.629084+5 1.109175-3 3.532690+5 1.110000-3 3.526558+5 1.122018-3 3.438596+5 1.150000-3 3.245911+5 1.161449-3 3.171480+5 1.188502-3 3.004248+5 1.202264-3 2.923492+5 1.216186-3 2.844623+5 1.258925-3 2.620363+5 1.303167-3 2.414627+5 1.318257-3 2.349338+5 1.348963-3 2.223156+5 1.350000-3 2.219069+5 1.355400-3 2.197858+5 1.396368-3 2.045689+5 1.450000-3 1.868781+5 1.496236-3 1.732627+5 1.500000-3 1.722131+5 1.513561-3 1.684794+5 1.548817-3 1.592811+5 1.566751-3 1.548789+5 1.603245-3 1.464529+5 1.621810-3 1.423881+5 1.659587-3 1.346112+5 1.678804-3 1.308739+5 1.698244-3 1.272344+5 1.737801-3 1.202354+5 1.778279-3 1.136364+5 1.805100-3 1.095020+5 1.805100-3 4.371820+5 1.850000-3 4.138573+5 1.862087-3 4.078825+5 1.867100-3 4.054413+5 1.867100-3 5.632907+5 1.883649-3 5.520009+5 1.895000-3 5.444421+5 1.900000-3 5.412916+5 1.905461-3 5.380150+5 1.920000-3 5.294336+5 1.927525-3 5.246156+5 1.949845-3 5.106799+5 1.972423-3 4.971175+5 1.995262-3 4.839001+5 2.018366-3 4.706188+5 2.048000-3 4.536918+5 2.048000-3 5.182714+5 2.065380-3 5.079394+5 2.089296-3 4.941928+5 2.110000-3 4.827176+5 2.113489-3 4.807844+5 2.155000-3 4.582457+5 2.162719-3 4.542020+5 2.187762-3 4.414282+5 2.213095-3 4.289999+5 2.238721-3 4.169298+5 2.264644-3 4.051604+5 2.317395-3 3.826895+5 2.371374-3 3.614864+5 2.426610-3 3.413351+5 2.454709-3 3.316947+5 2.483133-3 3.223108+5 2.540973-3 3.043496+5 2.600160-3 2.873670+5 2.660725-3 2.713433+5 2.691535-3 2.636752+5 2.722701-3 2.561514+5 2.754229-3 2.488471+5 2.786121-3 2.417056+5 2.900000-3 2.184527+5 2.985383-3 2.030363+5 3.054921-3 1.914270+5 3.090295-3 1.858497+5 3.126079-3 1.804313+5 3.162278-3 1.751749+5 3.198895-3 1.700761+5 3.235937-3 1.651302+5 3.273407-3 1.603128+5 3.349654-3 1.510543+5 3.427678-3 1.423431+5 3.467369-3 1.381800+5 3.507519-3 1.341364+5 3.650000-3 1.209917+5 3.758374-3 1.120651+5 3.801894-3 1.087401+5 3.845918-3 1.054940+5 3.890451-3 1.023441+5 3.935501-3 9.929079+4 3.981072-3 9.633047+4 4.027170-3 9.346068+4 4.073803-3 9.067685+4 4.120975-3 8.796095+4 4.265795-3 8.030080+4 4.315191-3 7.788700+4 4.365158-3 7.554524+4 4.415704-3 7.326874+4 4.466836-3 7.106257+4 4.518559-3 6.892410+4 4.677351-3 6.289660+4 4.731513-3 6.100913+4 4.841724-3 5.735220+4 4.897788-3 5.560698+4 5.011872-3 5.226259+4 5.128614-3 4.912476+4 5.248075-3 4.617987+4 5.308844-3 4.477535+4 5.495409-3 4.082002+4 5.500000-3 4.072897+4 5.559043-3 3.957382+4 5.688529-3 3.717800+4 5.821032-3 3.493098+4 5.956621-3 3.281441+4 6.237348-3 2.896644+4 6.309573-3 2.807370+4 6.456542-3 2.636124+4 6.531306-3 2.554566+4 6.606934-3 2.475536+4 6.760830-3 2.324443+4 7.079458-3 2.049956+4 7.161434-3 1.986259+4 7.244360-3 1.924531+4 7.328245-3 1.864769+4 7.413102-3 1.806534+4 7.498942-3 1.750167+4 7.673615-3 1.642779+4 7.762471-3 1.591420+4 8.222426-3 1.358238+4 8.317638-3 1.315654+4 8.511380-3 1.234548+4 8.609938-3 1.195715+4 8.709636-3 1.158133+4 8.912509-3 1.086568+4 9.015711-3 1.052491+4 9.120108-3 1.019373+4 9.332543-3 9.563165+3 9.440609-3 9.262831+3 9.772372-3 8.413129+3 9.885531-3 8.148025+3 1.000000-2 7.890182+3 1.023293-2 7.399344+3 1.059254-2 6.720851+3 1.071519-2 6.508357+3 1.080000-2 6.366723+3 1.096478-2 6.101599+3 1.122018-2 5.719969+3 1.148154-2 5.362781+3 1.150000-2 5.338730+3 1.174898-2 5.027021+3 1.188502-2 4.867215+3 1.230269-2 4.418307+3 1.244515-2 4.278219+3 1.273503-2 4.008508+3 1.303167-2 3.756204+3 1.318257-2 3.636211+3 1.350000-2 3.400508+3 1.355400-2 3.362366+3 1.364583-2 3.298823+3 1.396368-2 3.091206+3 1.412538-2 2.992476+3 1.450000-2 2.779751+3 1.462177-2 2.714552+3 1.500000-2 2.524336+3 1.513561-2 2.460604+3 1.515900-2 2.449835+3 1.515900-2 1.715338+4 1.531087-2 1.677538+4 1.548817-2 1.629135+4 1.566751-2 1.576830+4 1.570000-2 1.567598+4 1.584893-2 1.531175+4 1.610000-2 1.472385+4 1.621810-2 1.444320+4 1.640590-2 1.401198+4 1.698244-2 1.279431+4 1.717908-2 1.241205+4 1.730000-2 1.218829+4 1.737801-2 1.204686+4 1.778279-2 1.134846+4 1.798871-2 1.101466+4 1.819701-2 1.069074+4 1.862087-2 1.007132+4 1.883649-2 9.775267+3 1.900000-2 9.558666+3 1.905461-2 9.485514+3 1.972423-2 8.648010+3 2.018366-2 8.130708+3 2.065380-2 7.644370+3 2.137962-2 6.968915+3 2.213095-2 6.353343+3 2.238721-2 6.160534+3 2.264644-2 5.973513+3 2.300000-2 5.730816+3 2.317395-2 5.616239+3 2.344229-2 5.445591+3 2.371374-2 5.276620+3 2.500000-2 4.566224+3 2.511886-2 4.507321+3 2.540973-2 4.367495+3 2.630268-2 3.973586+3 2.660725-2 3.850362+3 2.691535-2 3.730931+3 2.754229-2 3.502825+3 2.786121-2 3.394075+3 2.818383-2 3.288709+3 2.851018-2 3.186607+3 2.917427-2 2.991839+3 3.054921-2 2.630829+3 3.126079-2 2.467017+3 3.162278-2 2.388982+3 3.198895-2 2.313332+3 3.273407-2 2.169124+3 3.467369-2 1.846748+3 3.548134-2 1.731670+3 3.630781-2 1.623780+3 3.715352-2 1.520997+3 3.758374-2 1.472020+3 3.801894-2 1.424621+3 3.890451-2 1.334351+3 4.265795-2 1.026941+3 4.365158-2 9.618870+2 4.466836-2 9.008952+2 4.518559-2 8.718677+2 4.623810-2 8.158133+2 4.677351-2 7.891496+2 5.000000-2 6.509641+2 5.011872-2 6.465244+2 5.069907-2 6.253976+2 5.188000-2 5.851962+2 5.248075-2 5.660553+2 5.308844-2 5.475415+2 5.432503-2 5.123129+2 5.623413-2 4.636714+2 5.688529-2 4.483296+2 5.821032-2 4.191536+2 6.165950-2 3.542623+2 6.237348-2 3.425447+2 6.382635-2 3.202383+2 6.456542-2 3.096364+2 6.606934-2 2.894750+2 6.918310-2 2.530034+2 7.000000-2 2.444669+2 7.413102-2 2.063910+2 7.585776-2 1.928266+2 7.762471-2 1.801422+2 7.852356-2 1.741168+2 7.943282-2 1.682929+2 8.035261-2 1.626640+2 8.222426-2 1.519649+2 9.015711-2 1.157584+2 9.120108-2 1.118560+2 9.225714-2 1.080853+2 9.549926-2 9.751954+1 1.000000-1 8.501161+1 1.011580-1 8.214396+1 1.023293-1 7.937337+1 1.071519-1 6.919328+1 1.083927-1 6.685946+1 1.161449-1 5.442097+1 1.230269-1 4.584362+1 1.244515-1 4.429783+1 1.258925-1 4.280438+1 1.273503-1 4.136121+1 1.318257-1 3.731629+1 1.412538-1 3.037565+1 1.445440-1 2.836202+1 1.479108-1 2.648195+1 1.500000-1 2.539837+1 1.548817-1 2.308769+1 1.584893-1 2.155753+1 1.603245-1 2.083099+1 1.640590-1 1.945054+1 1.678804-1 1.816164+1 1.717908-1 1.695819+1 1.757924-1 1.583449+1 1.798871-1 1.478539+1 1.819701-1 1.428720+1 1.840772-1 1.380581+1 1.862087-1 1.334070+1 1.883649-1 1.289126+1 1.905461-1 1.246107+1 1.927525-1 1.204553+1 1.972423-1 1.125555+1 2.000000-1 1.080453+1 2.041738-1 1.016683+1 2.089296-1 9.500236+0 2.113489-1 9.183553+0 2.162719-1 8.581509+0 2.187762-1 8.295467+0 2.213095-1 8.018962+0 2.238721-1 7.751680+0 2.300000-1 7.159193+0 2.344229-1 6.773961+0 2.371374-1 6.551256+0 2.398833-1 6.335901+0 2.426610-1 6.127888+0 2.454709-1 5.926745+0 2.511886-1 5.544060+0 2.600160-1 5.015870+0 2.660725-1 4.692027+0 2.691535-1 4.538060+0 2.722701-1 4.391181+0 2.754229-1 4.249054+0 2.786121-1 4.111532+0 2.818383-1 3.978462+0 2.851018-1 3.849890+0 2.884032-1 3.725499+0 2.917427-1 3.605133+0 2.951209-1 3.488655+0 3.000060-1 3.329057+0 3.019952-1 3.266898+0 3.054921-1 3.161374+0 3.090295-1 3.059261+0 3.126079-1 2.960448+0 3.198895-1 2.775449+0 3.235937-1 2.687330+0 3.273407-1 2.602149+0 3.311311-1 2.519678+0 3.388442-1 2.362538+0 3.427678-1 2.287690+0 3.467369-1 2.215215+0 3.507519-1 2.145039+0 3.548134-1 2.077088+0 3.589219-1 2.012531+0 3.672823-1 1.889386+0 3.715352-1 1.830776+0 3.758374-1 1.773983+0 3.801894-1 1.718975+0 3.845918-1 1.665674+0 3.935501-1 1.563979+0 4.000000-1 1.495957+0 4.073803-1 1.424516+0 4.120975-1 1.381290+0 4.168694-1 1.339461+0 4.216965-1 1.298903+0 4.265795-1 1.259588+0 4.315191-1 1.221462+0 4.415705-1 1.148646+0 4.466836-1 1.113885+0 4.518559-1 1.080899+0 4.570882-1 1.048889+0 4.623810-1 1.017830+0 4.677351-1 9.877586-1 4.731513-1 9.585752-1 4.841724-1 9.027987-1 4.897788-1 8.761399-1 4.954502-1 8.502693-1 5.069907-1 8.019209-1 5.128614-1 7.787897-1 5.188000-1 7.563799-1 5.248075-1 7.346177-1 5.308844-1 7.134907-1 5.370318-1 6.929710-1 5.432503-1 6.730417-1 5.495409-1 6.536869-1 5.623413-1 6.175540-1 5.688529-1 6.002452-1 5.754399-1 5.834676-1 5.821032-1 5.671591-1 5.888437-1 5.513130-1 6.025596-1 5.209377-1 6.095369-1 5.063845-1 6.165950-1 4.926137-1 6.237348-1 4.792192-1 6.309573-1 4.661903-1 6.382635-1 4.535501-1 6.531306-1 4.293000-1 6.606935-1 4.176656-1 6.683439-1 4.063467-1 6.760830-1 3.956347-1 6.839117-1 3.852053-1 6.918310-1 3.750817-1 6.998420-1 3.652245-1 7.079458-1 3.556263-1 7.244360-1 3.371885-1 7.328245-1 3.285975-1 7.413102-1 3.202253-1 7.498942-1 3.120670-1 7.585776-1 3.041176-1 7.673615-1 2.963932-1 7.762471-1 2.888651-1 7.943282-1 2.743841-1 8.000000-1 2.701800-1 8.035261-1 2.676136-1 8.222427-1 2.545699-1 8.317638-1 2.482889-1 8.413951-1 2.421631-1 8.511380-1 2.362041-1 8.609938-1 2.303917-1 8.709636-1 2.247264-1 8.810489-1 2.192004-1 8.912509-1 2.138103-1 9.015711-1 2.086702-1 9.225714-1 1.987587-1 9.332543-1 1.939817-1 9.440609-1 1.893195-1 9.549926-1 1.847894-1 9.660509-1 1.803684-1 9.772372-1 1.762170-1 1.000000+0 1.682007-1 1.011579+0 1.643305-1 1.023293+0 1.605496-1 1.035142+0 1.568663-1 1.047129+0 1.532693-1 1.071519+0 1.463215-1 1.096478+0 1.398425-1 1.109175+0 1.367113-1 1.135011+0 1.306597-1 1.148154+0 1.277353-1 1.161449+0 1.248765-1 1.174898+0 1.220907-1 1.188600+0 1.193495-1 1.202264+0 1.167921-1 1.230269+0 1.118063-1 1.250000+0 1.084863-1 1.288250+0 1.024650-1 1.303167+0 1.002613-1 1.318257+0 9.810605-2 1.333521+0 9.606163-2 1.380384+0 9.018098-2 1.412538+0 8.646195-2 1.428894+0 8.466056-2 1.445440+0 8.290198-2 1.462177+0 8.117999-2 1.479108+0 7.954411-2 1.496236+0 7.794121-2 1.513561+0 7.637087-2 1.548817+0 7.332432-2 1.566751+0 7.184699-2 1.584893+0 7.039952-2 1.603245+0 6.898123-2 1.640590+0 6.623842-2 1.678804+0 6.369011-2 1.698244+0 6.245293-2 1.717908+0 6.124012-2 1.737801+0 6.005080-2 1.757924+0 5.888461-2 1.778279+0 5.774120-2 1.798871+0 5.661996-2 1.819701+0 5.552428-2 1.840772+0 5.444982-2 1.883649+0 5.243499-2 1.905461+0 5.145569-2 1.927525+0 5.049495-2 1.949845+0 4.955214-2 1.972423+0 4.862696-2 1.995262+0 4.771914-2 2.000000+0 4.753423-2 2.018366+0 4.682826-2 2.065380+0 4.510176-2 2.113489+0 4.349118-2 2.137962+0 4.270759-2 2.162719+0 4.193826-2 2.213095+0 4.044100-2 2.238721+0 3.971254-2 2.264644+0 3.899726-2 2.290868+0 3.829484-2 2.344229+0 3.693201-2 2.398833+0 3.565841-2 2.426610+0 3.503818-2 2.454709+0 3.442881-2 2.483133+0 3.383010-2 2.511886+0 3.324181-2 2.570396+0 3.209573-2 2.600160+0 3.153763-2 2.630268+0 3.098927-2 2.691535+0 2.992435-2 2.754229+0 2.892897-2 2.786121+0 2.844377-2 2.818383+0 2.796677-2 2.851018+0 2.749781-2 2.884032+0 2.703672-2 2.951209+0 2.613762-2 3.000000+0 2.551567-2 3.019952+0 2.526848-2 3.090295+0 2.443103-2 3.162278+0 2.364782-2 3.198895+0 2.326568-2 3.235937+0 2.288977-2 3.273407+0 2.251997-2 3.311311+0 2.215615-2 3.388442+0 2.144603-2 3.467369+0 2.075873-2 3.507519+0 2.042339-2 3.589219+0 1.977096-2 3.672823+0 1.915921-2 3.715352+0 1.886048-2 3.758374+0 1.856644-2 3.801894+0 1.827700-2 3.845918+0 1.799209-2 3.935501+0 1.743552-2 4.027170+0 1.689620-2 4.120975+0 1.637357-2 4.216965+0 1.586862-2 4.315191+0 1.539397-2 4.365158+0 1.516200-2 4.415704+0 1.493355-2 4.466836+0 1.470856-2 4.518559+0 1.448697-2 4.623810+0 1.405375-2 4.731513+0 1.363350-2 4.841724+0 1.322584-2 4.954502+0 1.283158-2 5.069907+0 1.246109-2 5.128614+0 1.227987-2 5.188000+0 1.210132-2 5.248075+0 1.192537-2 5.308844+0 1.175199-2 5.432503+0 1.141275-2 5.623413+0 1.092219-2 5.754399+0 1.060692-2 5.956621+0 1.015221-2 6.095369+0 9.867725-3 6.237348+0 9.591216-3 6.309573+0 9.455896-3 6.382635+0 9.322493-3 6.456542+0 9.190977-3 6.683439+0 8.807453-3 6.839116+0 8.560720-3 7.000000+0 8.318585-3 7.244360+0 7.974694-3 7.328245+0 7.865817-3 7.498942+0 7.652500-3 7.585776+0 7.548033-3 7.673615+0 7.445000-3 7.762471+0 7.343375-3 8.128305+0 6.950558-3 8.413951+0 6.669815-3 8.609938+0 6.488984-3 8.912509+0 6.227541-3 9.015711+0 6.142790-3 9.120108+0 6.061285-3 9.332543+0 5.901505-3 9.440609+0 5.823210-3 9.549926+0 5.745959-3 9.772372+0 5.594521-3 1.011579+1 5.374817-3 1.047129+1 5.163745-3 1.071519+1 5.027665-3 1.109175+1 4.830704-3 1.122018+1 4.766810-3 1.148154+1 4.644437-3 1.174898+1 4.525209-3 1.202264+1 4.409057-3 1.216186+1 4.352104-3 1.244515+1 4.240399-3 1.300000+1 4.036597-3 1.348963+1 3.871547-3 1.380384+1 3.772185-3 1.445440+1 3.581453-3 1.462177+1 3.535316-3 1.500000+1 3.437392-3 1.513561+1 3.403534-3 1.531087+1 3.360708-3 1.584893+1 3.235445-3 1.603245+1 3.194740-3 1.621810+1 3.154547-3 1.678804+1 3.036978-3 1.757924+1 2.887014-3 1.778279+1 2.850697-3 1.927525+1 2.609395-3 1.972423+1 2.544304-3 2.041738+1 2.451622-3 2.065380+1 2.421484-3 2.089296+1 2.391717-3 2.137962+1 2.333280-3 2.162719+1 2.304600-3 2.264644+1 2.193367-3 2.426610+1 2.036508-3 2.722701+1 1.800044-3 2.754229+1 1.777970-3 2.818383+1 1.735382-3 2.851018+1 1.714472-3 2.884032+1 1.693814-3 2.917427+1 1.673406-3 2.951209+1 1.653245-3 3.090295+1 1.575002-3 3.630781+1 1.329188-3 3.672823+1 1.313202-3 4.168694+1 1.149547-3 4.265795+1 1.122526-3 4.315191+1 1.109254-3 4.365158+1 1.096141-3 4.518559+1 1.057724-3 5.559043+1 8.539084-4 5.688529+1 8.338642-4 7.079458+1 6.654171-4 7.244360+1 6.499850-4 7.328245+1 6.424038-4 7.413102+1 6.349112-4 7.673615+1 6.129548-4 9.772372+1 4.791148-4 9.885531+1 4.735325-4 1.023293+2 4.571728-4 1.348963+2 3.450850-4 1.364583+2 3.410942-4 1.396368+2 3.332512-4 1.412538+2 3.293975-4 1.428894+2 3.255885-4 1.445440+2 3.218236-4 1.462177+2 3.181024-4 1.513561+2 3.071949-4 1.949845+2 2.378447-4 1.972423+2 2.350961-4 2.041738+2 2.270393-4 2.691535+2 1.717699-4 2.722701+2 1.697958-4 2.786121+2 1.659158-4 2.818383+2 1.640091-4 2.851018+2 1.621244-4 2.884032+2 1.602614-4 2.917427+2 1.584198-4 3.019952+2 1.530211-4 3.890451+2 1.186658-4 3.935501+2 1.173028-4 4.073803+2 1.133072-4 1.071519+3 4.293707-5 1.083927+3 4.244526-5 1.109175+3 4.147856-5 1.122018+3 4.100353-5 1.135011+3 4.053389-5 1.148154+3 4.006964-5 1.161449+3 3.961073-5 1.202264+3 3.826531-5 3.090295+3 1.487960-5 3.126079+3 1.470920-5 3.235937+3 1.420964-5 1.000000+5 4.591969-7 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.020000-6 4.020000-6 1.975000-5 4.020000-6 1.975000-5 1.974598-5 2.073000-5 1.974435-5 2.073000-5 2.015028-5 3.672000-5 2.006136-5 3.672000-5 2.010446-5 4.330000-5 2.023128-5 5.370318-5 2.064113-5 6.382635-5 2.102603-5 7.300000-5 2.122867-5 8.709636-5 2.134293-5 1.175700-4 2.132973-5 1.175700-4 2.975264-5 1.192000-4 3.012589-5 1.192000-4 3.286859-5 1.221000-4 3.364645-5 1.244515-4 3.448129-5 1.267000-4 3.549559-5 1.305000-4 3.743122-5 1.335000-4 3.879014-5 1.358000-4 3.960862-5 1.390000-4 4.043175-5 1.425000-4 4.102233-5 1.479108-4 4.156911-5 1.570000-4 4.207246-5 1.717908-4 4.249794-5 1.950000-4 4.276063-5 2.372900-4 4.288867-5 2.372900-4 4.504298-5 2.466900-4 4.504366-5 2.466900-4 4.603236-5 2.600160-4 4.614598-5 3.131800-4 4.704429-5 3.131800-4 4.839330-5 3.210000-4 4.880638-5 3.355000-4 4.917337-5 4.570882-4 5.137359-5 5.754399-4 5.313356-5 7.413102-4 5.511264-5 9.225714-4 5.683551-5 1.161449-3 5.863332-5 1.450000-3 6.031158-5 1.805100-3 6.188620-5 1.805100-3 9.483829-5 1.867100-3 9.498387-5 1.867100-3 9.907691-5 2.048000-3 9.930129-5 2.048000-3 1.049209-4 2.985383-3 1.071870-4 4.365158-3 1.097535-4 6.309573-3 1.124406-4 9.015711-3 1.151904-4 1.244515-2 1.177105-4 1.515900-2 1.192152-4 1.515900-2 1.372715-4 2.851018-2 1.381832-4 7.000000-2 1.388487-4 3.126079-1 1.392346-4 1.000000+5 1.393173-4 1 37000 7 7 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.020000-6 0.0 3.672000-5 0.0 3.672000-5 5.06205-12 3.725000-5 6.03505-12 3.758374-5 6.70747-12 3.801894-5 7.66131-12 3.850000-5 8.80244-12 3.900000-5 1.00969-11 3.950000-5 1.14963-11 3.981072-5 1.24143-11 4.000000-5 1.30027-11 4.070000-5 1.52914-11 4.130000-5 1.74172-11 4.180000-5 1.92941-11 4.260000-5 2.25095-11 4.330000-5 2.55326-11 4.420000-5 2.96983-11 4.466836-5 3.19385-11 4.518559-5 3.45533-11 4.623810-5 4.00879-11 4.677351-5 4.30021-11 4.731513-5 4.60675-11 4.850000-5 5.29611-11 4.954502-5 5.92253-11 5.128614-5 6.99286-11 5.450000-5 8.99371-11 5.688529-5 1.04236-10 5.900000-5 1.16086-10 6.095369-5 1.26171-10 6.165950-5 1.29580-10 6.350000-5 1.37841-10 6.580000-5 1.46904-10 6.760830-5 1.53025-10 6.950000-5 1.58695-10 7.161434-5 1.63913-10 7.413102-5 1.69008-10 7.673615-5 1.73125-10 8.000000-5 1.76812-10 8.317638-5 1.79362-10 8.709636-5 1.81088-10 9.120108-5 1.81849-10 9.549926-5 1.81865-10 1.023293-4 1.80630-10 1.100000-4 1.78180-10 1.175700-4 1.75195-10 1.175700-4 2.83673-10 1.192000-4 2.88054-10 1.192000-4 3.573489-9 1.205000-4 3.661679-9 1.225000-4 3.782660-9 1.244515-4 3.922212-9 1.260000-4 4.054356-9 1.275000-4 4.205832-9 1.295000-4 4.437124-9 1.340000-4 5.010883-9 1.365000-4 5.299210-9 1.385000-4 5.497999-9 1.405000-4 5.666670-9 1.425000-4 5.802960-9 1.450000-4 5.937810-9 1.479108-4 6.058955-9 1.513561-4 6.161327-9 1.540000-4 6.223736-9 1.603245-4 6.333432-9 1.705000-4 6.459368-9 1.780000-4 6.526902-9 1.905461-4 6.601406-9 2.065380-4 6.651605-9 2.372900-4 6.703180-9 2.372900-4 7.570275-9 2.448000-4 7.580531-9 2.466900-4 7.576862-9 2.466900-4 8.262517-9 2.530000-4 8.279756-9 3.131800-4 8.788420-9 3.131800-4 9.348380-9 3.177000-4 9.469449-9 3.255000-4 9.600611-9 3.630781-4 9.983409-9 4.430000-4 1.071099-8 5.248075-4 1.135276-8 6.025596-4 1.188893-8 7.079458-4 1.251669-8 8.128305-4 1.306155-8 9.225714-4 1.355894-8 1.071519-3 1.413752-8 1.216186-3 1.462069-8 1.396368-3 1.512640-8 1.621810-3 1.565443-8 1.805100-3 1.601648-8 1.805100-3 2.859474-5 1.867100-3 2.867169-5 1.867100-3 3.260392-5 2.048000-3 3.270504-5 2.048000-3 3.352893-5 3.507519-3 3.365170-5 1.515900-2 3.341625-5 1.515900-2 7.825002-3 2.018366-2 7.911377-3 2.851018-2 7.980168-3 4.518559-2 8.034519-3 9.120108-2 8.070736-3 6.998420-1 8.087840-3 1.000000+5 8.092301-3 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.020000-6 0.0 1.975000-5 1.573000-5 1.975000-5 4.016277-9 2.073000-5 9.856473-7 2.073000-5 5.797189-7 2.170000-5 1.555881-6 2.610000-5 5.988157-6 3.672000-5 1.665864-5 3.672000-5 1.661554-5 4.330000-5 2.306869-5 6.580000-5 4.471793-5 8.413951-5 6.280809-5 1.175700-4 9.624009-5 1.175700-4 8.781708-5 1.192000-4 8.907383-5 1.192000-4 8.632784-5 1.236000-4 8.944369-5 1.275000-4 9.160149-5 1.335000-4 9.470492-5 1.380384-4 9.781513-5 1.435000-4 1.023443-4 1.550000-4 1.130081-4 1.840772-4 1.413969-4 2.372900-4 1.943946-4 2.372900-4 1.922395-4 2.466900-4 2.016388-4 2.466900-4 2.006494-4 3.131800-4 2.661269-4 3.131800-4 2.647773-4 3.981072-4 3.477477-4 8.609938-4 8.046936-4 1.805100-3 1.743198-3 1.805100-3 1.681667-3 1.867100-3 1.743444-3 1.867100-3 1.735419-3 2.048000-3 1.915994-3 2.048000-3 1.909550-3 1.515900-2 1.500637-2 1.515900-2 7.196726-3 2.065380-2 1.259927-2 3.890451-2 3.074691-2 1.000000+5 9.999999+4 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.515900-2 1.470354+4 1.531087-2 1.439391+4 1.548817-2 1.398641+4 1.570000-2 1.345810+4 1.610000-2 1.265882+4 1.717908-2 1.069436+4 1.900000-2 8.270220+3 2.344229-2 4.740236+3 2.917427-2 2.617027+3 3.630781-2 1.425432+3 4.518559-2 7.674464+2 5.623413-2 4.089531+2 7.000000-2 2.159200+2 9.015711-2 1.023540+2 1.883649-1 1.141281+1 2.300000-1 6.338662+0 2.691535-1 4.018585+0 3.126079-1 2.621707+0 3.548134-1 1.839492+0 4.000000-1 1.324915+0 4.466836-1 9.866039-1 4.954502-1 7.531802-1 5.495409-1 5.790864-1 6.095369-1 4.486270-1 6.683439-1 3.600295-1 7.244360-1 2.987593-1 7.943282-1 2.431612-1 8.912509-1 1.895287-1 9.660509-1 1.598965-1 1.071519+0 1.297192-1 1.188600+0 1.058108-1 1.318257+0 8.697613-2 1.462177+0 7.196968-2 1.640590+0 5.872263-2 1.840772+0 4.827162-2 2.065380+0 3.998470-2 2.344229+0 3.274176-2 2.691535+0 2.652923-2 3.090295+0 2.165914-2 3.589219+0 1.752779-2 4.216965+0 1.406826-2 4.954502+0 1.137581-2 5.956621+0 9.000399-3 7.244360+0 7.069902-3 9.015711+0 5.445813-3 1.122018+1 4.225961-3 1.462177+1 3.134164-3 1.972423+1 2.255548-3 2.754229+1 1.576195-3 4.168694+1 1.019090-3 7.079458+1 5.899010-4 1.348963+2 3.059300-4 2.691535+2 1.522851-4 1.071519+3 3.806452-5 1.000000+5 4.071200-7 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.515900-2 1.402800-4 1.000000+5 1.402800-4 1 37000 7 7 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.515900-2 9.123200-3 1.000000+5 9.123200-3 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.515900-2 5.895520-3 1.000000+5 9.999999+4 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.048000-3 6.457961+4 2.155000-3 5.990047+4 2.264644-3 5.539963+4 2.371374-3 5.162957+4 2.540973-3 4.602578+4 3.273407-3 2.984539+4 3.507519-3 2.636938+4 4.265795-3 1.829668+4 4.731513-3 1.495828+4 5.500000-3 1.107760+4 6.237348-3 8.543655+3 7.079458-3 6.539502+3 8.222426-3 4.724710+3 9.440609-3 3.472553+3 1.080000-2 2.555440+3 1.244515-2 1.836217+3 1.450000-2 1.275516+3 1.698244-2 8.676684+2 1.972423-2 5.978040+2 2.300000-2 4.047760+2 2.691535-2 2.695917+2 3.162278-2 1.763737+2 3.715352-2 1.145477+2 4.365158-2 7.388127+1 5.188000-2 4.584957+1 6.237348-2 2.735322+1 7.585776-2 1.568250+1 9.549926-2 8.081604+0 1.273503-1 3.496506+0 1.905461-1 1.077659+0 2.398833-1 5.528592-1 2.818383-1 3.488567-1 3.235937-1 2.366676-1 3.672823-1 1.669330-1 4.120975-1 1.223353-1 4.623810-1 9.029524-2 5.128614-1 6.917573-2 5.688529-1 5.337966-2 6.309573-1 4.150448-2 6.839117-1 3.433200-2 7.585776-1 2.711764-2 8.413951-1 2.158448-2 9.440609-1 1.687583-2 1.023293+0 1.430971-2 1.161449+0 1.113295-2 1.288250+0 9.134691-3 1.428894+0 7.547517-3 1.603245+0 6.149570-3 1.798871+0 5.047488-3 2.018366+0 4.174610-3 2.290868+0 3.414100-3 2.630268+0 2.762731-3 3.019952+0 2.252744-3 3.507519+0 1.820897-3 4.120975+0 1.459881-3 4.841724+0 1.179211-3 5.754399+0 9.455801-4 7.000000+0 7.415700-4 8.609938+0 5.784394-4 1.071519+1 4.482023-4 1.380384+1 3.362718-4 1.778279+1 2.540797-4 2.426610+1 1.814908-4 3.630781+1 1.184590-4 5.559043+1 7.609725-5 9.772372+1 4.269706-5 1.949845+2 2.120271-5 3.890451+2 1.057497-5 3.090295+3 1.326597-6 1.000000+5 4.095800-8 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.048000-3 1.444000-4 1.000000+5 1.444000-4 1 37000 7 7 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.048000-3 3.931700-5 1.000000+5 3.931700-5 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.048000-3 1.864283-3 1.000000+5 1.000000+5 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.867100-3 1.578494+5 1.895000-3 1.522076+5 1.995262-3 1.364199+5 2.110000-3 1.193000+5 2.238721-3 1.023400+5 2.754229-3 5.932500+4 3.054921-3 4.489400+4 3.235937-3 3.831700+4 3.801894-3 2.443600+4 4.365158-3 1.642900+4 4.897788-3 1.174900+4 5.821032-3 7.028400+3 6.606934-3 4.787500+3 7.673615-3 3.020800+3 9.015711-3 1.823600+3 1.059254-2 1.091600+3 1.244515-2 6.482200+2 1.462177-2 3.821000+2 1.730000-2 2.184800+2 2.065380-2 1.203300+2 2.500000-2 6.277000+1 3.054921-2 3.144800+1 3.801894-2 1.467700+1 5.011872-2 5.554600+0 1.000000-1 4.833624-1 1.244515-1 2.245487-1 1.500000-1 1.175642-1 1.757924-1 6.828519-2 2.041738-1 4.121172-2 2.344229-1 2.605595-2 2.660725-1 1.724217-2 3.000060-1 1.174321-2 3.388442-1 8.016996-3 3.758374-1 5.832472-3 4.168694-1 4.272802-3 4.570882-1 3.261609-3 5.069907-1 2.426076-3 5.623413-1 1.819001-3 6.237348-1 1.374702-3 6.839117-1 1.079012-3 7.498942-1 8.526506-4 8.609938-1 6.046881-4 9.225714-1 5.128200-4 9.772372-1 4.498771-4 1.035142+0 3.973218-4 1.109175+0 3.444991-4 1.188600+0 3.007605-4 1.318257+0 2.483733-4 1.479108+0 2.022998-4 1.698244+0 1.589376-4 1.905461+0 1.308819-4 2.137962+0 1.086446-4 2.454709+0 8.757348-5 2.818383+0 7.113373-5 3.235937+0 5.821852-5 3.758374+0 4.722488-5 4.415704+0 3.798546-5 5.188000+0 3.078004-5 6.309573+0 2.405041-5 7.585776+0 1.920037-5 9.440609+0 1.481375-5 1.202264+1 1.121398-5 1.584893+1 8.228849-6 2.137962+1 5.935508-6 2.917427+1 4.257705-6 4.315191+1 2.822721-6 7.328245+1 1.634805-6 1.428894+2 8.286086-7 2.851018+2 4.126289-7 1.135011+3 1.031645-7 1.000000+5 1.168900-9 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.867100-3 1.095900-4 1.000000+5 1.095900-4 1 37000 7 7 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.867100-3 4.270400-5 1.000000+5 4.270400-5 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.867100-3 1.714806-3 1.000000+5 1.000000+5 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.805100-3 3.276800+5 1.900000-3 2.934642+5 1.920000-3 2.874048+5 2.018366-3 2.549026+5 2.113489-3 2.263424+5 2.691535-3 1.187769+5 2.985383-3 8.955148+4 3.650000-3 5.085840+4 4.073803-3 3.700314+4 4.731513-3 2.383915+4 5.559043-3 1.468302+4 6.309573-3 9.968493+3 7.328245-3 6.260547+3 8.511380-3 3.900545+3 9.885531-3 2.411643+3 1.150000-2 1.472396+3 1.350000-2 8.659840+2 1.584893-2 5.053640+2 1.883649-2 2.807507+2 2.238721-2 1.547489+2 2.660725-2 8.468907+1 3.198895-2 4.419368+1 3.890451-2 2.198097+1 5.000000-2 8.886184+0 8.035261-2 1.584432+0 1.071519-1 5.552380-1 1.318257-1 2.627493-1 1.584893-1 1.361425-1 1.840772-1 8.035581-2 2.089296-1 5.179181-2 2.371374-1 3.362890-2 2.660725-1 2.288026-2 2.951209-1 1.629220-2 3.273407-1 1.168762-2 3.589219-1 8.758636-3 3.935501-1 6.608769-3 4.315191-1 5.024655-3 4.731513-1 3.849108-3 5.188000-1 2.970888-3 5.688529-1 2.310773-3 6.165950-1 1.867018-3 6.683439-1 1.518651-3 7.244360-1 1.243754-3 7.943282-1 9.975410-4 8.912509-1 7.643027-4 9.549926-1 6.555746-4 1.011579+0 5.802293-4 1.109175+0 4.810358-4 1.202264+0 4.109408-4 1.333521+0 3.386978-4 1.496236+0 2.754760-4 1.698244+0 2.207706-4 1.905461+0 1.818451-4 2.137962+0 1.509359-4 2.426610+0 1.238241-4 2.786121+0 1.005219-4 3.198895+0 8.222362-5 3.715352+0 6.665880-5 4.365158+0 5.358891-5 5.128614+0 4.340063-5 6.237348+0 3.389597-5 7.498942+0 2.704853-5 9.332543+0 2.086011-5 1.174898+1 1.599411-5 1.531087+1 1.187852-5 2.089296+1 8.453859-6 2.884032+1 5.988012-6 4.315191+1 3.921722-6 7.413102+1 2.244633-6 1.445440+2 1.137883-6 2.884032+2 5.666821-7 1.148154+3 1.416884-7 1.000000+5 1.624000-9 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.805100-3 1.058500-4 1.000000+5 1.058500-4 1 37000 7 7 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.805100-3 3.814500-5 1.000000+5 3.814500-5 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.805100-3 1.661105-3 1.000000+5 1.000000+5 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 3.131800-4 1.534926+5 3.141000-4 1.586680+5 3.150000-4 1.631756+5 3.162278-4 1.684253+5 3.177000-4 1.734656+5 3.193000-4 1.776936+5 3.210000-4 1.809604+5 3.230000-4 1.835474+5 3.255000-4 1.852918+5 3.280000-4 1.858008+5 3.311311-4 1.852519+5 3.355000-4 1.832102+5 4.100000-4 1.511546+5 4.430000-4 1.396606+5 4.700000-4 1.306194+5 5.500000-4 1.083952+5 5.956621-4 9.786866+4 6.918310-4 7.982231+4 7.585776-4 7.003412+4 8.709636-4 5.699893+4 9.772372-4 4.773389+4 1.150000-3 3.677020+4 1.318257-3 2.930215+4 1.513561-3 2.313778+4 1.778279-3 1.742010+4 2.089296-3 1.300360+4 2.454709-3 9.629555+3 2.900000-3 6.998520+3 3.427678-3 5.038533+3 4.027170-3 3.640929+3 4.731513-3 2.610548+3 5.559043-3 1.857655+3 6.531306-3 1.311970+3 7.673615-3 9.195507+2 9.015711-3 6.396210+2 1.059254-2 4.414271+2 1.244515-2 3.022358+2 1.462177-2 2.052860+2 1.717908-2 1.383144+2 2.018366-2 9.246422+1 2.371374-2 6.134095+1 2.818383-2 3.921171+1 3.273407-2 2.642561+1 3.890451-2 1.663041+1 4.623810-2 1.038814+1 5.432503-2 6.650656+0 6.606934-2 3.838948+0 8.222426-2 2.060073+0 1.023293-1 1.097464+0 1.972423-1 1.621871-1 2.426610-1 8.910117-2 2.851018-1 5.629600-2 3.311311-1 3.702229-2 3.758374-1 2.615181-2 4.216965-1 1.919621-2 4.731513-1 1.419526-2 5.248075-1 1.089546-2 5.821032-1 8.423471-3 6.382635-1 6.744980-3 7.079458-1 5.292789-3 7.762471-1 4.295648-3 8.609938-1 3.420902-3 9.440609-1 2.815173-3 1.035142+0 2.335373-3 1.174898+0 1.819013-3 1.303167+0 1.493635-3 1.462177+0 1.209135-3 1.640590+0 9.863900-4 1.840772+0 8.108667-4 2.065380+0 6.717019-4 2.344229+0 5.500387-4 2.691535+0 4.456685-4 3.090295+0 3.638521-4 3.589219+0 2.944563-4 4.216965+0 2.363368-4 4.954502+0 1.910982-4 5.956621+0 1.511956-4 7.244360+0 1.187683-4 8.912509+0 9.273061-5 1.109175+1 7.193385-5 1.445440+1 5.333196-5 1.927525+1 3.885173-5 2.722701+1 2.680271-5 4.168694+1 1.711921-5 7.079458+1 9.909546-6 1.364583+2 5.079623-6 2.722701+2 2.528800-6 1.083927+3 6.321075-7 1.000000+5 6.839200-9 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 3.131800-4 8.647600-5 1.000000+5 8.647600-5 1 37000 7 7 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.131800-4 2.515600-8 1.000000+5 2.515600-8 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.131800-4 2.266788-4 1.000000+5 1.000000+5 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 2.466900-4 2.081284+5 2.869000-4 2.055043+5 3.500000-4 2.027880+5 3.650000-4 2.006980+5 3.850000-4 1.964300+5 4.100000-4 1.900448+5 4.350000-4 1.829982+5 4.600000-4 1.752248+5 4.897788-4 1.655521+5 5.248075-4 1.544477+5 5.623413-4 1.431121+5 6.025596-4 1.315858+5 6.531306-4 1.183816+5 7.079458-4 1.057765+5 7.673615-4 9.378638+4 8.413951-4 8.111611+4 9.200000-4 6.996200+4 1.011579-3 5.929382+4 1.110000-3 5.009420+4 1.216186-3 4.213587+4 1.350000-3 3.432300+4 1.500000-3 2.767300+4 1.659587-3 2.234783+4 1.850000-3 1.762630+4 2.065380-3 1.375018+4 2.317395-3 1.052130+4 2.600160-3 7.986590+3 2.900000-3 6.106220+3 3.235937-3 4.632530+3 3.650000-3 3.394540+3 4.120975-3 2.462396+3 4.677351-3 1.747738+3 5.248075-3 1.271334+3 5.956621-3 8.896244+2 6.760830-3 6.181800+2 7.762471-3 4.122614+2 8.912509-3 2.727810+2 1.023293-2 1.790911+2 1.174898-2 1.166979+2 1.355400-2 7.436833+1 1.566751-2 4.675120+1 1.819701-2 2.873538+1 2.137962-2 1.688527+1 2.540973-2 9.477402+0 3.054921-2 5.077696+0 3.715352-2 2.595777+0 4.623810-2 1.216683+0 6.165950-2 4.448751-1 1.023293-1 7.527887-2 1.273503-1 3.518348-2 1.548817-1 1.794406-2 1.819701-1 1.037619-2 2.089296-1 6.531527-3 2.398833-1 4.141760-3 2.722701-1 2.748162-3 3.054921-1 1.905778-3 3.427678-1 1.331150-3 3.801894-1 9.701951-4 4.216965-1 7.119462-4 4.677351-1 5.262318-4 5.188000-1 3.919506-4 5.688529-1 3.036864-4 6.237348-1 2.368501-4 6.839117-1 1.859776-4 7.498942-1 1.470132-4 8.609938-1 1.042200-4 9.225714-1 8.833991-5 9.772372-1 7.746513-5 1.035142+0 6.839296-5 1.109175+0 5.928780-5 1.188600+0 5.175900-5 1.318257+0 4.275099-5 1.479108+0 3.482859-5 1.717908+0 2.682959-5 1.927525+0 2.210962-5 2.162719+0 1.836582-5 2.483133+0 1.481331-5 2.851018+0 1.203999-5 3.273407+0 9.860131-6 3.801894+0 8.002785-6 4.466836+0 6.440472-6 5.248075+0 5.221545-6 6.382635+0 4.081838-6 7.673615+0 3.260067-6 9.549926+0 2.516231-6 1.216186+1 1.905610-6 1.603245+1 1.398769-6 2.162719+1 1.009252-6 2.951209+1 7.241418-7 4.365158+1 4.801875-7 7.413102+1 2.781459-7 1.445440+2 1.409999-7 2.884032+2 7.022036-8 1.148154+3 1.755672-8 1.000000+5 2.01240-10 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 2.466900-4 7.243700-5 1.000000+5 7.243700-5 1 37000 7 7 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.466900-4 2.657400-8 1.000000+5 2.657400-8 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.466900-4 1.742264-4 1.000000+5 1.000000+5 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.372900-4 4.727055+5 2.429000-4 4.666342+5 2.448000-4 4.612831+5 2.477000-4 4.511874+5 2.507000-4 4.427800+5 2.530000-4 4.397040+5 2.550000-4 4.392000+5 2.590000-4 4.416080+5 2.700000-4 4.537480+5 2.760000-4 4.582880+5 2.851018-4 4.613271+5 3.126079-4 4.605473+5 3.311311-4 4.565878+5 3.467369-4 4.504772+5 3.630781-4 4.412297+5 3.850000-4 4.264200+5 4.120975-4 4.069585+5 4.365158-4 3.884952+5 4.623810-4 3.681991+5 4.954502-4 3.425747+5 5.370318-4 3.124967+5 5.754399-4 2.867618+5 6.237348-4 2.571980+5 6.839116-4 2.252902+5 7.413102-4 1.991874+5 8.128305-4 1.716433+5 8.912509-4 1.468511+5 9.772372-4 1.247052+5 1.071519-3 1.051964+5 1.188502-3 8.617796+4 1.303167-3 7.170731+4 1.450000-3 5.749800+4 1.603245-3 4.637712+4 1.778279-3 3.690041+4 1.972423-3 2.915252+4 2.187762-3 2.288310+4 2.454709-3 1.735313+4 2.754229-3 1.305631+4 3.090295-3 9.749321+3 3.467369-3 7.227081+3 3.845918-3 5.487319+3 4.315191-3 4.015039+3 4.841724-3 2.918746+3 5.500000-3 2.035444+3 6.237348-3 1.416001+3 7.161434-3 9.427440+2 8.222426-3 6.224860+2 9.332543-3 4.225392+2 1.071519-2 2.747789+2 1.230269-2 1.773147+2 1.412538-2 1.135847+2 1.640590-2 6.955999+1 1.905461-2 4.227417+1 2.238721-2 2.453167+1 2.630268-2 1.412857+1 3.126079-2 7.762697+0 3.758374-2 4.065942+0 4.677351-2 1.869927+0 5.688529-2 9.270729-1 1.230269-1 5.715321-2 1.479108-1 2.958892-2 1.717908-1 1.744221-2 1.972423-1 1.078235-2 2.238721-1 6.985518-3 2.511886-1 4.740354-3 2.786121-1 3.365645-3 3.090295-1 2.406058-3 3.427678-1 1.733141-3 3.758374-1 1.303789-3 4.120975-1 9.878546-4 4.518559-1 7.542216-4 4.954502-1 5.802609-4 5.432503-1 4.499787-4 5.888437-1 3.625858-4 6.382635-1 2.939915-4 6.918310-1 2.398735-4 7.498942-1 1.969559-4 8.317638-1 1.541534-4 9.015711-1 1.282970-4 9.660509-1 1.103640-4 1.035142+0 9.559962-5 1.135011+0 7.948288-5 1.250000+0 6.599000-5 1.380384+0 5.493665-5 1.584893+0 4.297696-5 1.778279+0 3.524738-5 1.995262+0 2.912286-5 2.264644+0 2.380140-5 2.600160+0 1.924774-5 3.000000+0 1.557400-5 3.467369+0 1.267028-5 4.027170+0 1.031194-5 4.731513+0 8.320814-6 5.623413+0 6.665484-6 6.839116+0 5.224389-6 8.413951+0 4.070351-6 1.047129+1 3.151532-6 1.348963+1 2.362858-6 1.757924+1 1.761792-6 2.426610+1 1.242711-6 3.672823+1 8.014210-7 5.688529+1 5.088450-7 1.023293+2 2.789765-7 2.041738+2 1.385915-7 4.073803+2 6.914077-8 3.235937+3 8.674858-9 1.000000+5 2.80460-10 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.372900-4 6.914700-5 1.000000+5 6.914700-5 1 37000 7 7 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.372900-4 1.727200-8 1.000000+5 1.727200-8 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.372900-4 1.681257-4 1.000000+5 1.000000+5 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.192000-4 1.703764+5 1.215000-4 1.856216+5 1.225000-4 1.934876+5 1.235000-4 2.029288+5 1.244515-4 2.137316+5 1.252000-4 2.237932+5 1.260000-4 2.363680+5 1.267000-4 2.491140+5 1.275000-4 2.658776+5 1.285000-4 2.904256+5 1.295000-4 3.192488+5 1.305000-4 3.525372+5 1.340000-4 5.026880+5 1.355000-4 5.799760+5 1.365000-4 6.341480+5 1.375000-4 6.895120+5 1.385000-4 7.454040+5 1.396368-4 8.085336+5 1.405000-4 8.557840+5 1.415000-4 9.092120+5 1.425000-4 9.611400+5 1.435000-4 1.011256+6 1.450000-4 1.082752+6 1.465000-4 1.149944+6 1.479108-4 1.209546+6 1.496236-4 1.277612+6 1.513561-4 1.342433+6 1.540000-4 1.434740+6 1.570000-4 1.532148+6 1.603245-4 1.632489+6 1.640590-4 1.736217+6 1.670000-4 1.811104+6 1.705000-4 1.891356+6 1.740000-4 1.961140+6 1.780000-4 2.027408+6 1.820000-4 2.079300+6 1.865000-4 2.121660+6 1.905461-4 2.147021+6 1.950000-4 2.163312+6 2.000000-4 2.169992+6 2.065380-4 2.165150+6 2.150000-4 2.142392+6 2.238721-4 2.104330+6 2.330000-4 2.052688+6 2.426610-4 1.986601+6 2.516200-4 1.917676+6 2.630268-4 1.823096+6 2.754229-4 1.716662+6 2.917427-4 1.578999+6 3.100000-4 1.434648+6 3.280000-4 1.302728+6 3.467369-4 1.175607+6 3.700000-4 1.033968+6 3.981072-4 8.878034+5 4.265795-4 7.639798+5 4.570882-4 6.529597+5 4.954502-4 5.395158+5 5.432503-4 4.303733+5 5.956621-4 3.406577+5 6.531306-4 2.674818+5 7.244360-4 2.021545+5 7.943282-4 1.564674+5 8.810489-4 1.163900+5 9.700000-4 8.782240+4 1.071519-3 6.517686+4 1.202264-3 4.579626+4 1.355400-3 3.142948+4 1.500000-3 2.270992+4 1.678804-3 1.572348+4 1.883649-3 1.071736+4 2.113489-3 7.252274+3 2.371374-3 4.872356+3 2.660725-3 3.250433+3 2.985383-3 2.153449+3 3.349654-3 1.417422+3 3.758374-3 9.268859+2 4.265795-3 5.770053+2 4.841724-3 3.566947+2 5.495409-3 2.189815+2 6.309573-3 1.276305+2 7.244360-3 7.381658+1 8.317638-3 4.236668+1 9.440609-3 2.529504+1 1.096478-2 1.363955+1 1.273503-2 7.298626+0 1.500000-2 3.654852+0 1.798871-2 1.682393+0 2.238721-2 6.553911-1 2.851018-2 2.292685-1 3.801894-2 6.508687-2 5.821032-2 9.987671-3 7.413102-2 3.468843-3 9.120108-2 1.411158-3 1.083927-1 6.718934-4 1.258925-1 3.557083-4 1.445440-1 1.991827-4 1.640590-1 1.178868-4 1.862087-1 7.029763-5 2.089296-1 4.424726-5 2.344229-1 2.805341-5 2.600160-1 1.874440-5 2.884032-1 1.261336-5 3.198895-1 8.550532-6 3.507519-1 6.093757-6 3.845918-1 4.373851-6 4.120975-1 3.430090-6 4.570882-1 2.402956-6 5.370318-1 1.397517-6 5.821032-1 1.072181-6 6.095369-1 9.254729-7 6.531306-1 7.484464-7 7.079458-1 5.884334-7 8.035261-1 4.072920-7 8.609938-1 3.303965-7 9.015711-1 2.888607-7 9.440609-1 2.540597-7 9.772372-1 2.318678-7 1.011579+0 2.126749-7 1.047129+0 1.960318-7 1.096478+0 1.770593-7 1.148154+0 1.610557-7 1.202264+0 1.474281-7 1.288250+0 1.302658-7 1.412538+0 1.114272-7 1.513561+0 9.939030-8 1.819701+0 7.235238-8 2.000000+0 6.183500-8 2.290868+0 4.982846-8 2.630268+0 4.032182-8 3.019952+0 3.287848-8 3.507519+0 2.657593-8 4.120975+0 2.130704-8 4.841724+0 1.721066-8 5.754399+0 1.380068-8 7.000000+0 1.082300-8 8.609938+0 8.442400-9 1.071519+1 6.541590-9 1.380384+1 4.907932-9 1.778279+1 3.708287-9 2.426610+1 2.648879-9 3.630781+1 1.728989-9 5.559043+1 1.110642-9 9.885531+1 6.15895-10 1.972423+2 3.05887-10 3.935501+2 1.52572-10 3.126079+3 1.91392-11 1.000000+5 5.97790-13 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.192000-4 4.392100-5 1.000000+5 4.392100-5 1 37000 7 7 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.192000-4 1.681300-8 1.000000+5 1.681300-8 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.192000-4 7.526219-5 1.000000+5 1.000000+5 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.175700-4 2.524902+5 1.195000-4 2.715324+5 1.205000-4 2.830284+5 1.214000-4 2.951064+5 1.221000-4 3.060570+5 1.230269-4 3.231122+5 1.236000-4 3.353688+5 1.244515-4 3.563663+5 1.251000-4 3.748560+5 1.258925-4 4.006874+5 1.266000-4 4.269960+5 1.274000-4 4.606602+5 1.285000-4 5.140500+5 1.322000-4 7.527780+5 1.335000-4 8.546580+5 1.348000-4 9.624000+5 1.358000-4 1.047612+6 1.369000-4 1.142130+6 1.380384-4 1.239366+6 1.390000-4 1.320078+6 1.400000-4 1.401954+6 1.412538-4 1.500933+6 1.423000-4 1.580046+6 1.435000-4 1.666722+6 1.450000-4 1.769094+6 1.465000-4 1.865256+6 1.485000-4 1.984998+6 1.500000-4 2.069376+6 1.520000-4 2.175870+6 1.550000-4 2.325168+6 1.580000-4 2.464104+6 1.610000-4 2.593644+6 1.649400-4 2.749106+6 1.680000-4 2.857248+6 1.717908-4 2.974364+6 1.757924-4 3.076574+6 1.800000-4 3.160248+6 1.840772-4 3.219431+6 1.883649-4 3.261044+6 1.930000-4 3.286254+6 1.995262-4 3.294948+6 2.065380-4 3.279225+6 2.150000-4 3.236736+6 2.238721-4 3.171817+6 2.330000-4 3.087168+6 2.426610-4 2.981333+6 2.511886-4 2.877659+6 2.630268-4 2.724640+6 2.770000-4 2.541024+6 2.917427-4 2.353025+6 3.090295-4 2.145273+6 3.280000-4 1.934418+6 3.467369-4 1.743770+6 3.700000-4 1.531908+6 3.981072-4 1.313507+6 4.265795-4 1.128675+6 4.600000-4 9.496800+5 4.954502-4 7.954122+5 5.432503-4 6.336781+5 5.888437-4 5.162229+5 6.456542-4 4.051564+5 7.079458-4 3.159617+5 7.800000-4 2.413854+5 8.609938-4 1.820983+5 9.549926-4 1.344963+5 1.059254-3 9.854460+4 1.161449-3 7.433961+4 1.318257-3 4.999308+4 1.496236-3 3.330172+4 1.698244-3 2.197836+4 1.927525-3 1.437613+4 2.187762-3 9.319494+3 2.454709-3 6.236958+3 2.754229-3 4.144690+3 3.090295-3 2.735207+3 3.467369-3 1.793257+3 3.935501-3 1.119080+3 4.466836-3 6.931113+2 5.128614-3 4.077110+2 5.821032-3 2.489432+2 6.606934-3 1.509628+2 7.498942-3 9.092152+1 8.511380-3 5.438836+1 9.772372-3 3.082745+1 1.122018-2 1.734137+1 1.303167-2 9.223889+0 1.531087-2 4.636522+0 1.819701-2 2.202229+0 2.238721-2 8.938712-1 2.786121-2 3.423806-1 3.548134-2 1.175811-1 4.466836-2 4.220878-2 6.237348-2 9.504360-3 7.762471-2 3.602515-3 9.225714-2 1.686093-3 1.083927-1 8.360196-4 1.244515-1 4.613295-4 1.412538-1 2.693229-4 1.603245-1 1.583951-4 1.798871-1 9.849803-5 2.000000-1 6.407759-5 2.213095-1 4.280607-5 2.426610-1 2.986312-5 2.660725-1 2.098454-5 2.917427-1 1.486232-5 3.198895-1 1.060795-5 3.507519-1 7.630962-6 3.801894-1 5.758041-6 4.216965-1 4.041297-6 4.518559-1 3.210745-6 4.841724-1 2.567552-6 5.069907-1 2.222490-6 5.432503-1 1.804388-6 5.888437-1 1.424886-6 6.606935-1 1.020703-6 7.079458-1 8.405849-7 7.498942-1 7.188711-7 8.000000-1 6.072100-7 8.511380-1 5.200826-7 9.015711-1 4.532830-7 9.549926-1 3.976749-7 1.011579+0 3.513501-7 1.109175+0 2.909110-7 1.188600+0 2.539400-7 1.303167+0 2.137402-7 1.445440+0 1.773150-7 1.678804+0 1.364163-7 1.883649+0 1.122707-7 2.113489+0 9.310621-8 2.398833+0 7.633119-8 2.754229+0 6.193012-8 3.162278+0 5.062754-8 3.672823+0 4.101953-8 4.315191+0 3.295910-8 5.069907+0 2.667900-8 6.095369+0 2.112820-8 7.328245+0 1.684463-8 9.120108+0 1.298016-8 1.148154+1 9.944612-9 1.513561+1 7.286793-9 2.065380+1 5.184310-9 2.851018+1 3.671214-9 4.265795+1 2.403868-9 7.244360+1 1.391986-9 1.396368+2 7.13713-10 2.786121+2 3.55362-10 1.109175+3 8.88375-11 1.000000+5 9.83620-13 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.175700-4 4.382900-5 1.000000+5 4.382900-5 1 37000 7 7 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.175700-4 4.64960-10 1.000000+5 4.64960-10 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.175700-4 7.374054-5 1.000000+5 1.000000+5 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 3.672000-5 4.448240+4 3.725000-5 4.991640+4 3.770000-5 5.470880+4 3.801894-5 5.818945+4 3.850000-5 6.347700+4 3.900000-5 6.905660+4 3.950000-5 7.464360+4 4.000000-5 8.023220+4 4.070000-5 8.802080+4 4.130000-5 9.460380+4 4.180000-5 9.999800+4 4.260000-5 1.084238+5 4.330000-5 1.155538+5 4.420000-5 1.243554+5 4.518559-5 1.334738+5 4.623810-5 1.425691+5 4.731513-5 1.511645+5 4.850000-5 1.597786+5 4.954502-5 1.666561+5 5.080000-5 1.740518+5 5.230000-5 1.817132+5 5.370318-5 1.878117+5 5.500000-5 1.925972+5 5.688529-5 1.982604+5 5.900000-5 2.029940+5 6.095369-5 2.060706+5 6.309573-5 2.082521+5 6.606934-5 2.096285+5 6.918310-5 2.095065+5 7.300000-5 2.077900+5 7.762471-5 2.041603+5 8.300000-5 1.986482+5 8.912509-5 1.914554+5 9.549926-5 1.834523+5 1.023293-4 1.746465+5 1.096478-4 1.652261+5 1.174898-4 1.553388+5 1.273503-4 1.434711+5 1.380384-4 1.315644+5 1.531087-4 1.167631+5 1.737801-4 1.000855+5 1.972423-4 8.522349+4 2.220000-4 7.282340+4 2.511886-4 6.130035+4 2.985383-4 4.775548+4 3.500000-4 3.768700+4 4.216965-4 2.829680+4 5.128614-4 2.081401+4 6.382635-4 1.463055+4 7.673615-4 1.080011+4 9.225714-4 7.923522+3 1.109175-3 5.768203+3 1.318257-3 4.252418+3 1.566751-3 3.112209+3 1.862087-3 2.261086+3 2.238721-3 1.595792+3 2.660725-3 1.142735+3 3.162278-3 8.123833+2 3.758374-3 5.732261+2 4.466836-3 4.013038+2 5.248075-3 2.855961+2 6.237348-3 1.968037+2 7.328245-3 1.380100+2 8.609938-3 9.608026+1 1.023293-2 6.485099+1 1.188502-2 4.579442+1 1.364583-2 3.298199+1 1.584893-2 2.287756+1 1.862087-2 1.530772+1 2.264644-2 9.319428+0 2.691535-2 5.969495+0 3.162278-2 3.910312+0 3.758374-2 2.464957+0 4.466836-2 1.542186+0 5.248075-2 9.888942-1 6.382635-2 5.716721-1 7.852356-2 3.174787-1 1.000000-1 1.585441-1 1.548817-1 4.433126-2 2.162719-1 1.680094-2 2.600160-1 9.895013-3 3.019952-1 6.478659-3 3.467369-1 4.411893-3 3.935501-1 3.125003-3 4.415705-1 2.300516-3 4.897788-1 1.757764-3 5.432503-1 1.352427-3 6.025596-1 1.048238-3 6.683439-1 8.189578-4 7.413102-1 6.449597-4 8.222427-1 5.119554-4 9.015711-1 4.197422-4 9.772372-1 3.550296-4 1.135011+0 2.632475-4 1.230269+0 2.254594-4 1.412538+0 1.743880-4 1.566751+0 1.447476-4 1.757924+0 1.186246-4 1.972423+0 9.796736-5 2.238721+0 8.001761-5 2.570396+0 6.466644-5 2.951209+0 5.266276-5 3.388442+0 4.320715-5 3.935501+0 3.512666-5 4.623810+0 2.831432-5 5.432503+0 2.299138-5 6.683439+0 1.774347-5 8.128305+0 1.400160-5 1.011579+1 1.082860-5 1.300000+1 8.132400-6 1.678804+1 6.118132-6 2.264644+1 4.419181-6 3.090295+1 3.173653-6 4.518559+1 2.131695-6 7.673615+1 1.235418-6 1.513561+2 6.192323-7 3.019952+2 3.084641-7 1.202264+3 7.714191-8 1.000000+5 9.25960-10 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 3.672000-5 2.411600-5 1.000000+5 2.411600-5 1 37000 7 7 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.672000-5 4.76220-10 1.000000+5 4.76220-10 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.672000-5 1.260352-5 1.000000+5 1.000000+5 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 2.073000-5 3.856239+7 2.190000-5 2.512120+7 2.238721-5 2.126324+7 2.280000-5 1.861258+7 2.330000-5 1.599356+7 2.371374-5 1.420645+7 2.426610-5 1.224351+7 2.485000-5 1.057330+7 2.540973-5 9.267234+6 2.610000-5 7.955940+6 2.691535-5 6.724944+6 2.786121-5 5.610953+6 2.900000-5 4.586280+6 3.019952-5 3.767637+6 3.162278-5 3.034573+6 3.350000-5 2.332560+6 3.589219-5 1.716125+6 3.981072-5 1.091784+6 4.466836-5 6.656785+5 4.841724-5 4.736689+5 5.128614-5 3.737772+5 5.370318-5 3.112176+5 5.580000-5 2.688080+5 5.800000-5 2.334160+5 6.000000-5 2.076060+5 6.165950-5 1.898888+5 6.382635-5 1.708454+5 6.580000-5 1.567464+5 6.760830-5 1.460265+5 6.950000-5 1.366488+5 7.161434-5 1.279767+5 7.400000-5 1.200234+5 7.650000-5 1.133228+5 7.900000-5 1.079202+5 8.150000-5 1.035266+5 8.413951-5 9.974068+4 8.709636-5 9.630140+4 9.120108-5 9.256047+4 9.549926-5 8.954423+4 1.011579-4 8.648952+4 1.096478-4 8.305894+4 1.350000-4 7.557140+4 1.500000-4 7.155120+4 1.650000-4 6.762900+4 1.819701-4 6.335501+4 1.995262-4 5.916225+4 2.187762-4 5.483608+4 2.400000-4 5.038360+4 2.630268-4 4.598303+4 2.900000-4 4.141860+4 3.235937-4 3.653456+4 3.600000-4 3.206360+4 4.027170-4 2.771090+4 4.518559-4 2.368102+4 5.011872-4 2.042271+4 5.623413-4 1.718184+4 6.237348-4 1.461137+4 7.000000-4 1.211090+4 7.852356-4 9.968554+3 8.810489-4 8.140217+3 9.772372-4 6.735877+3 1.083927-3 5.536511+3 1.202264-3 4.520725+3 1.348963-3 3.581679+3 1.513561-3 2.815354+3 1.698244-3 2.193979+3 1.905461-3 1.696641+3 2.162719-3 1.268407+3 2.426610-3 9.668288+2 2.722701-3 7.318229+2 3.054921-3 5.501115+2 3.427678-3 4.106749+2 3.890451-3 2.954571+2 4.415704-3 2.108686+2 5.011872-3 1.493385+2 5.688529-3 1.049781+2 6.456542-3 7.325194+1 7.413102-3 4.908843+1 8.609938-3 3.156671+1 1.059254-2 1.694850+1 1.188502-2 1.194089+1 1.303167-2 8.962552+0 1.364583-2 7.737579+0 1.531087-2 5.312298+0 1.778279-2 3.317469+0 1.972423-2 2.370177+0 2.213095-2 1.618115+0 2.511886-2 1.054774+0 3.890451-2 2.347833-1 5.069907-2 9.377048-2 6.382635-2 4.197388-2 1.011580-1 8.351619-3 1.273503-1 3.749948-3 1.548817-1 1.912616-3 1.819701-1 1.106149-3 2.113489-1 6.702558-4 2.426610-1 4.252943-4 2.754229-1 2.823746-4 3.090295-1 1.959482-4 3.467369-1 1.369684-4 3.845918-1 9.990236-5 4.265795-1 7.337363-5 4.731513-1 5.428253-5 5.248075-1 4.046326-5 5.821032-1 3.040102-5 6.382635-1 2.374452-5 6.998420-1 1.867086-5 7.673615-1 1.478053-5 8.609938-1 1.109950-5 9.225714-1 9.408122-6 9.772372-1 8.249904-6 1.035142+0 7.283644-6 1.109175+0 6.313947-6 1.188600+0 5.512200-6 1.318257+0 4.552953-6 1.479108+0 3.709243-6 1.717908+0 2.857438-6 1.927525+0 2.354715-6 2.162719+0 1.955868-6 2.483133+0 1.577511-6 2.851018+0 1.282203-6 3.273407+0 1.050072-6 3.801894+0 8.522743-7 4.466836+0 6.858983-7 5.248075+0 5.560831-7 6.382635+0 4.347003-7 7.673615+0 3.471875-7 9.549926+0 2.679659-7 1.216186+1 2.029429-7 1.603245+1 1.489665-7 2.162719+1 1.074808-7 2.951209+1 7.711925-8 4.365158+1 5.113844-8 7.413102+1 2.962218-8 1.462177+2 1.484173-8 2.917427+2 7.392151-9 1.161449+3 1.848388-9 1.000000+5 2.14320-11 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 2.073000-5 2.073000-5 1.000000+5 2.073000-5 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.073000-5 0.0 1.000000+5 1.000000+5 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.975000-5 7.890960+7 1.995262-5 7.336057+7 2.114000-5 4.752098+7 2.170000-5 3.932284+7 2.213095-5 3.429197+7 2.270000-5 2.894272+7 2.330000-5 2.450332+7 2.371374-5 2.198992+7 2.426610-5 1.917558+7 2.500000-5 1.617292+7 2.580000-5 1.360732+7 2.660725-5 1.156359+7 2.770000-5 9.420760+6 2.900000-5 7.523080+6 3.054921-5 5.878851+6 3.235937-5 4.511374+6 3.467369-5 3.309193+6 3.758374-5 2.322001+6 4.120975-5 1.560162+6 4.415704-5 1.164479+6 4.677351-5 9.179490+5 4.900000-5 7.619360+5 5.080000-5 6.626800+5 5.248075-5 5.869738+5 5.450000-5 5.132880+5 5.650000-5 4.550440+5 5.821032-5 4.144886+5 6.000000-5 3.794092+5 6.165950-5 3.523990+5 6.350000-5 3.274704+5 6.531306-5 3.071532+5 6.730000-5 2.887908+5 6.950000-5 2.722576+5 7.161434-5 2.593366+5 7.413102-5 2.468991+5 7.673615-5 2.366139+5 8.000000-5 2.264868+5 8.317638-5 2.187756+5 8.709636-5 2.112907+5 9.225714-5 2.036963+5 1.000000-4 1.951120+5 1.244515-4 1.756762+5 1.380384-4 1.660715+5 1.513561-4 1.568882+5 1.659587-4 1.472349+5 1.840772-4 1.360094+5 2.018366-4 1.258636+5 2.220000-4 1.152764+5 2.426610-4 1.053790+5 2.660725-4 9.536387+4 2.951209-4 8.460918+4 3.273407-4 7.452715+4 3.630781-4 6.515018+4 4.120975-4 5.475924+4 4.623810-4 4.641322+4 5.150000-4 3.948284+4 5.754399-4 3.317200+4 6.382635-4 2.803044+4 7.161434-4 2.306912+4 8.035261-4 1.885019+4 9.015711-4 1.528679+4 1.000000-3 1.257264+4 1.122018-3 1.004201+4 1.258925-3 7.963165+3 1.396368-3 6.416804+3 1.548817-3 5.133448+3 1.737801-3 3.976057+3 1.949845-3 3.056341+3 2.213095-3 2.270375+3 2.483133-3 1.720370+3 2.786121-3 1.294514+3 3.126079-3 9.672929+2 3.507519-3 7.177988+2 3.981072-3 5.130005+2 4.518559-3 3.636879+2 5.128614-3 2.558385+2 5.821032-3 1.786219+2 6.606934-3 1.237979+2 7.498942-3 8.520395+1 8.709636-3 5.434607+1 1.000000-2 3.561364+1 1.148154-2 2.316383+1 1.318257-2 1.495338+1 1.513561-2 9.581157+0 1.737801-2 6.092010+0 1.972423-2 3.988247+0 2.264644-2 2.493833+0 2.660725-2 1.430512+0 3.467369-2 5.674923-1 4.265795-2 2.731376-1 5.188000-2 1.360120-1 6.918310-2 4.825708-2 1.161449-1 7.434649-3 1.412538-1 3.690565-3 1.678804-1 2.003387-3 1.927525-1 1.237216-3 2.187762-1 8.007027-4 2.454709-1 5.427139-4 2.754229-1 3.705840-4 3.054921-1 2.647775-4 3.388442-1 1.906167-4 3.715352-1 1.433046-4 4.073803-1 1.084856-4 4.466836-1 8.274047-5 4.897788-1 6.358943-5 5.308844-1 5.084198-5 5.754399-1 4.090449-5 6.237348-1 3.312006-5 6.760830-1 2.699054-5 7.328245-1 2.213449-5 8.035261-1 1.777820-5 8.709636-1 1.474881-5 9.332543-1 1.264533-5 1.000000+0 1.091400-5 1.096478+0 9.050071-6 1.202264+0 7.557031-6 1.318257+0 6.354651-6 1.462177+0 5.269357-6 1.678804+0 4.135245-6 1.883649+0 3.403707-6 2.113489+0 2.823239-6 2.398833+0 2.314706-6 2.754229+0 1.877892-6 3.162278+0 1.535108-6 3.672823+0 1.243830-6 4.315191+0 9.994136-7 5.069907+0 8.089541-7 6.095369+0 6.406394-7 7.328245+0 5.107527-7 9.120108+0 3.935876-7 1.148154+1 3.015450-7 1.500000+1 2.231700-7 2.041738+1 1.591620-7 2.818383+1 1.126858-7 4.265795+1 7.289010-8 7.244360+1 4.220703-8 1.412538+2 2.139014-8 2.818383+2 1.065082-8 1.122018+3 2.662760-9 1.000000+5 2.98250-11 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.975000-5 1.975000-5 1.000000+5 1.975000-5 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.975000-5 0.0 1.000000+5 1.000000+5 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 4.020000-6 3.343884+5 4.050000-6 3.164380+5 4.168694-6 2.593343+5 4.265795-6 2.202750+5 4.365158-6 1.862785+5 4.466836-6 1.567117+5 4.570882-6 1.311552+5 4.677351-6 1.090577+5 4.786301-6 9.011343+4 4.880000-6 7.629230+4 4.960000-6 6.604680+4 5.050000-6 5.602800+4 5.150000-6 4.652200+4 5.248075-6 3.862637+4 5.350000-6 3.169860+4 5.432503-6 2.691665+4 5.520000-6 2.254740+4 5.600000-6 1.911200+4 5.688529-6 1.585475+4 5.770000-6 1.330360+4 5.850000-6 1.116490+4 5.960000-6 8.740360+3 6.230000-6 4.803290+3 6.290000-6 4.238000+3 6.350000-6 3.764130+3 6.400000-6 3.433120+3 6.440000-6 3.206910+3 6.480000-6 3.012750+3 6.520000-6 2.848670+3 6.550000-6 2.744150+3 6.590000-6 2.628220+3 6.620000-6 2.557870+3 6.660000-6 2.484900+3 6.685000-6 2.450750+3 6.715000-6 2.420830+3 6.750000-6 2.400400+3 6.790000-6 2.395050+3 6.830000-6 2.407680+3 6.870000-6 2.437080+3 6.910000-6 2.482130+3 6.960000-6 2.558810+3 7.010000-6 2.656300+3 7.070000-6 2.798180+3 7.130000-6 2.964490+3 7.200000-6 3.185830+3 7.550000-6 4.613990+3 7.673615-6 5.202974+3 7.770000-6 5.679870+3 7.880000-6 6.236830+3 8.000000-6 6.853610+3 8.128305-6 7.517024+3 8.270000-6 8.247280+3 8.420000-6 9.010590+3 8.550000-6 9.659410+3 8.709636-6 1.043531+4 8.850000-6 1.109560+4 9.050000-6 1.199680+4 9.225714-6 1.274764+4 9.440609-6 1.361232+4 9.660509-6 1.443537+4 9.885531-6 1.521378+4 1.011579-5 1.594532+4 1.035142-5 1.662813+4 1.060000-5 1.727970+4 1.096478-5 1.811589+4 1.135011-5 1.885919+4 1.174898-5 1.949233+4 1.216186-5 2.001980+4 1.270000-5 2.054140+4 1.330000-5 2.094100+4 1.396368-5 2.120655+4 1.462177-5 2.132933+4 1.548817-5 2.133755+4 1.659587-5 2.117676+4 1.778279-5 2.086308+4 1.927525-5 2.034700+4 2.137962-5 1.953282+4 2.454709-5 1.833794+4 2.917427-5 1.678989+4 3.801894-5 1.456119+4 4.731513-5 1.287856+4 5.559043-5 1.168401+4 6.165950-5 1.091066+4 6.839116-5 1.012135+4 7.413102-5 9.490109+3 8.035261-5 8.840076+3 8.709636-5 8.179306+3 9.440609-5 7.507061+3 1.023293-4 6.839702+3 1.100000-4 6.251630+3 1.204670-4 5.541240+3 1.333521-4 4.803100+3 1.500000-4 4.037290+3 1.778279-4 3.114007+3 2.041738-4 2.516147+3 2.600160-4 1.749675+3 3.273407-4 1.220641+3 4.216965-4 8.146851+2 5.956621-4 4.645553+2 7.328245-4 3.293354+2 8.709636-4 2.456387+2 1.096478-3 1.647049+2 1.348963-3 1.141063+2 1.621810-3 8.175432+1 1.927525-3 5.939011+1 2.264644-3 4.374163+1 2.691535-3 3.128749+1 3.198895-3 2.221597+1 3.801894-3 1.565912+1 4.518559-3 1.095290+1 5.308844-3 7.788701+0 6.309573-3 5.362280+0 7.498942-3 3.663121+0 9.120108-3 2.360251+0 1.071519-2 1.631303+0 1.244515-2 1.148932+0 1.396368-2 8.720549-1 1.621810-2 6.038182-1 1.905461-2 4.033416-1 2.317395-2 2.452587-1 2.754229-2 1.569431-1 3.198895-2 1.058845-1 3.801894-2 6.671202-2 4.518559-2 4.171779-2 5.308844-2 2.673792-2 6.456542-2 1.545039-2 7.943282-2 8.577406-3 1.000000-1 4.427000-3 1.603245-1 1.119499-3 2.238721-1 4.247675-4 2.660725-1 2.589413-4 3.090295-1 1.697700-4 3.548134-1 1.158060-4 4.000000-1 8.368800-5 4.466836-1 6.247798-5 4.954502-1 4.780603-5 5.495409-1 3.684635-5 6.095369-1 2.861730-5 6.683439-1 2.301599-5 7.328245-1 1.863419-5 8.035261-1 1.519085-5 8.810489-1 1.247600-5 9.660509-1 1.031686-5 1.135011+0 7.487164-6 1.230269+0 6.412081-6 1.412538+0 4.954949-6 1.548817+0 4.195354-6 1.737801+0 3.435636-6 1.949845+0 2.835389-6 2.213095+0 2.314076-6 2.511886+0 1.901901-6 2.884032+0 1.547041-6 3.311311+0 1.267778-6 3.845918+0 1.029526-6 4.518559+0 8.289796-7 5.308844+0 6.724399-7 6.456542+0 5.259010-7 7.762471+0 4.202088-7 9.772372+0 3.201335-7 1.244515+1 2.426353-7 1.621810+1 1.805042-7 2.162719+1 1.319054-7 2.951209+1 9.463910-8 4.365158+1 6.275491-8 7.413102+1 3.635094-8 1.445440+2 1.842729-8 2.884032+2 9.177045-9 1.148154+3 2.294489-9 1.000000+5 2.63000-11 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 4.020000-6 4.020000-6 1.000000+5 4.020000-6 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.020000-6 0.0 1.000000+5 1.000000+5 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 7.152810-8 1.028750+0 7.152810-7 1.030100+0 1.231060-6 1.031000+0 1.684510-6 1.032000+0 2.304830-6 1.033200+0 3.228680-6 1.034000+0 3.963510-6 1.035300+0 5.379900-6 1.036640+0 7.152810-6 1.038200+0 9.652950-6 1.039700+0 1.254110-5 1.041500+0 1.668580-5 1.043800+0 2.316040-5 1.046400+0 3.222340-5 1.048300+0 4.011900-5 1.051200+0 5.442060-5 1.054080+0 7.152810-5 1.057700+0 9.749750-5 1.061100+0 1.268200-4 1.065100+0 1.678960-4 1.070400+0 2.342330-4 1.076200+0 3.237090-4 1.080600+0 4.042600-4 1.087100+0 5.446700-4 1.093710+0 7.152810-4 1.102600+0 9.917080-4 1.110700+0 1.293350-3 1.120600+0 1.730060-3 1.133300+0 2.405450-3 1.147500+0 3.321120-3 1.158200+0 4.127300-3 1.174100+0 5.516460-3 1.190110+0 7.152810-3 1.205100+0 8.904770-3 1.227500+0 1.191940-2 1.250000+0 1.540000-2 1.265600+0 1.805540-2 1.294900+0 2.352870-2 1.331800+0 3.121840-2 1.362600+0 3.822080-2 1.411700+0 5.033410-2 1.455800+0 6.211260-2 1.500000+0 7.479000-2 1.589800+0 1.034250-1 1.665000+0 1.302380-1 1.784700+0 1.774770-1 1.892300+0 2.234710-1 2.000000+0 2.712000-1 2.044000+0 2.908000-1 2.163500+0 3.447280-1 2.372600+0 4.408730-1 2.647100+0 5.677270-1 3.000000+0 7.278000-1 3.437500+0 9.171900-1 4.000000+0 1.145000+0 4.750000+0 1.423920+0 5.000000+0 1.511000+0 6.000000+0 1.832000+0 7.000000+0 2.118000+0 8.000000+0 2.375000+0 9.000000+0 2.609000+0 1.000000+1 2.822000+0 1.100000+1 3.017000+0 1.200000+1 3.195000+0 1.300000+1 3.359000+0 1.400000+1 3.511000+0 1.500000+1 3.652000+0 1.600000+1 3.785000+0 1.800000+1 4.027000+0 2.000000+1 4.245000+0 2.200000+1 4.442000+0 2.400000+1 4.621000+0 2.600000+1 4.785000+0 2.800000+1 4.935000+0 3.000000+1 5.073000+0 4.000000+1 5.636000+0 5.000000+1 6.054000+0 6.000000+1 6.380000+0 8.000000+1 6.862000+0 1.000000+2 7.204000+0 1.500000+2 7.748000+0 2.000000+2 8.073000+0 3.000000+2 8.452000+0 4.000000+2 8.670000+0 5.000000+2 8.813000+0 6.000000+2 8.916000+0 8.000000+2 9.052000+0 1.000000+3 9.141000+0 1.500000+3 9.269000+0 2.000000+3 9.339000+0 3.000000+3 9.414000+0 4.000000+3 9.455000+0 5.000000+3 9.480000+0 6.000000+3 9.498000+0 8.000000+3 9.521000+0 1.000000+4 9.536000+0 1.500000+4 9.557000+0 2.000000+4 9.567000+0 3.000000+4 9.579000+0 4.000000+4 9.585000+0 5.000000+4 9.589000+0 6.000000+4 9.591000+0 8.000000+4 9.595000+0 1.000000+5 9.597000+0 1 37000 7 8 8.547000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 3.713290-7 2.106600+0 1.209830-6 2.114000+0 1.673950-6 2.119500+0 2.084060-6 2.127900+0 2.826380-6 2.136250+0 3.713290-6 2.147000+0 5.091180-6 2.156900+0 6.612830-6 2.169000+0 8.825240-6 2.184500+0 1.226740-5 2.201800+0 1.697230-5 2.214800+0 2.114610-5 2.234200+0 2.844530-5 2.253680+0 3.713290-5 2.281500+0 5.201120-5 2.307000+0 6.831660-5 2.338200+0 9.185760-5 2.377400+0 1.272120-4 2.410200+0 1.617920-4 2.446800+0 2.058090-4 2.485900+0 2.591250-4 2.532900+0 3.316230-4 2.556430+0 3.713290-4 2.611900+0 4.734840-4 2.660400+0 5.724150-4 2.745300+0 7.661370-4 2.809000+0 9.278320-4 2.904500+0 1.195250-3 3.000000+0 1.492000-3 3.125000+0 1.923930-3 3.234400+0 2.341070-3 3.425800+0 3.152810-3 3.569300+0 3.823360-3 3.784700+0 4.915540-3 4.000000+0 6.090000-3 4.250000+0 7.526320-3 4.625000+0 9.783940-3 5.000000+0 1.213000-2 5.500000+0 1.534750-2 6.000000+0 1.861000-2 6.750000+0 2.347770-2 7.000000+0 2.508000-2 8.000000+0 3.134000-2 9.000000+0 3.733000-2 1.000000+1 4.303000-2 1.100000+1 4.843000-2 1.200000+1 5.352000-2 1.300000+1 5.832000-2 1.400000+1 6.289000-2 1.500000+1 6.722000-2 1.600000+1 7.133000-2 1.800000+1 7.896000-2 2.000000+1 8.591000-2 2.200000+1 9.228000-2 2.400000+1 9.814000-2 2.600000+1 1.036000-1 2.800000+1 1.086000-1 3.000000+1 1.133000-1 4.000000+1 1.327000-1 5.000000+1 1.474000-1 6.000000+1 1.592000-1 8.000000+1 1.769000-1 1.000000+2 1.899000-1 1.500000+2 2.114000-1 2.000000+2 2.250000-1 3.000000+2 2.417000-1 4.000000+2 2.517000-1 5.000000+2 2.586000-1 6.000000+2 2.637000-1 8.000000+2 2.707000-1 1.000000+3 2.754000-1 1.500000+3 2.824000-1 2.000000+3 2.864000-1 3.000000+3 2.908000-1 4.000000+3 2.934000-1 5.000000+3 2.950000-1 6.000000+3 2.961000-1 8.000000+3 2.976000-1 1.000000+4 2.985000-1 1.500000+4 2.998000-1 2.000000+4 3.006000-1 3.000000+4 3.013000-1 4.000000+4 3.018000-1 5.000000+4 3.020000-1 6.000000+4 3.022000-1 8.000000+4 3.024000-1 1.000000+5 3.025000-1 1 37000 7 8 8.547000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 37000 7 9 8.547000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 3.700000+1 1.000000+5 3.700000+1 5.000000+5 3.697300+1 1.000000+6 3.693800+1 1.375000+6 3.690470+1 1.500000+6 3.688900+1 1.750000+6 3.684720+1 2.000000+6 3.680500+1 2.375000+6 3.672710+1 2.500000+6 3.669900+1 2.875000+6 3.660800+1 3.000000+6 3.657500+1 3.250000+6 3.650130+1 3.625000+6 3.639130+1 4.000000+6 3.627800+1 4.437500+6 3.613880+1 4.812500+6 3.601320+1 5.000000+6 3.594800+1 5.500000+6 3.575530+1 6.156200+6 3.549140+1 6.500000+6 3.535180+1 7.000000+6 3.514600+1 8.000000+6 3.473260+1 8.500000+6 3.452020+1 9.000000+6 3.430600+1 1.000000+7 3.386100+1 1.187500+7 3.304670+1 1.250000+7 3.277500+1 1.437500+7 3.192050+1 1.500000+7 3.163200+1 1.687500+7 3.076050+1 1.750000+7 3.047400+1 2.000000+7 2.932700+1 2.250000+7 2.818200+1 2.500000+7 2.707900+1 2.875000+7 2.555140+1 3.000000+7 2.507900+1 3.250000+7 2.418300+1 3.500000+7 2.335390+1 3.625000+7 2.295960+1 4.000000+7 2.186200+1 4.500000+7 2.055010+1 5.000000+7 1.934600+1 5.500000+7 1.820640+1 6.000000+7 1.711200+1 6.500000+7 1.605520+1 7.000000+7 1.504400+1 7.500000+7 1.408070+1 8.000000+7 1.317400+1 8.750000+7 1.192890+1 9.000000+7 1.154600+1 1.000000+8 1.017400+1 1.125000+8 8.804270+0 1.156300+8 8.517840+0 1.250000+8 7.781700+0 1.312500+8 7.380890+0 1.406300+8 6.885550+0 1.437500+8 6.744030+0 1.500000+8 6.489300+0 1.625000+8 6.071310+0 1.718800+8 5.806420+0 1.859400+8 5.449600+0 2.000000+8 5.112100+0 2.125000+8 4.817840+0 2.375000+8 4.289440+0 2.500000+8 4.065200+0 2.671900+8 3.794700+0 2.789100+8 3.610470+0 2.875000+8 3.466640+0 2.881300+8 3.455660+0 2.960400+8 3.313570+0 3.000000+8 3.239200+0 3.062500+8 3.117360+0 3.335900+8 2.623030+0 3.418000+8 2.507870+0 3.500000+8 2.413200+0 3.562500+8 2.355290+0 4.000000+8 2.070600+0 4.062500+8 2.025580+0 5.000000+8 1.385300+0 5.125000+8 1.337430+0 5.234400+8 1.302550+0 5.425800+8 1.252960+0 5.712900+8 1.195650+0 6.000000+8 1.146400+0 7.000000+8 9.922000-1 7.625000+8 9.170720-1 8.000000+8 8.733000-1 8.359400+8 8.295320-1 8.660200+8 7.923490-1 9.138700+8 7.338450-1 9.569300+8 6.832800-1 1.000000+9 6.356000-1 1.062500+9 5.720930-1 1.117200+9 5.218430-1 1.186000+9 4.649900-1 1.243500+9 4.224590-1 1.307700+9 3.797210-1 1.375000+9 3.398220-1 1.376400+9 3.390390-1 1.458800+9 2.962570-1 1.500000+9 2.771000-1 1.589800+9 2.397610-1 1.665000+9 2.127670-1 1.784700+9 1.766050-1 1.892300+9 1.500550-1 2.000000+9 1.280900-1 2.093800+9 1.120230-1 2.275400+9 8.728410-2 2.445700+9 6.987020-2 2.680200+9 5.229970-2 2.895300+9 4.072960-2 3.158400+9 3.056020-2 3.496000+9 2.170870-2 3.872000+9 1.530030-2 4.436000+9 9.538640-3 5.000000+9 6.265900-3 6.500000+9 2.478090-3 8.000000+9 1.186900-3 1.00000+10 5.396700-4 1.20500+10 2.814960-4 1.41820+10 1.604700-4 1.71170+10 8.447130-5 2.01490+10 4.871780-5 2.26440+10 3.295770-5 2.74790+10 1.733840-5 3.41360+10 8.505470-6 4.02450+10 4.979500-6 5.12000+10 2.292110-6 6.34000+10 1.158630-6 8.17000+10 5.192700-7 1.00000+11 2.751700-7 1.34280+11 1.097200-7 1.77440+11 4.629870-8 2.63330+11 1.378260-8 3.75720+11 4.674930-9 6.61190+11 8.52330-10 1.48990+12 7.62282-11 4.26460+12 3.50208-12 1.00000+14 3.88800-16 5.62340+14 2.59542-18 7.49890+15 1.32560-21 1.00000+17 6.49360-25 1 37000 7 0 8.547000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 7.80000-12 1.000000+2 7.80000-10 1.000000+3 7.800000-8 1.000000+4 7.800000-6 1.000000+5 7.800000-4 5.000000+5 1.950000-2 1.000000+6 7.800000-2 1.375000+6 1.452270-1 1.500000+6 1.718000-1 1.750000+6 2.305970-1 2.000000+6 2.964000-1 2.375000+6 4.067150-1 2.500000+6 4.462000-1 2.875000+6 5.712450-1 3.000000+6 6.149000-1 3.250000+6 7.044260-1 3.625000+6 8.433220-1 4.000000+6 9.860000-1 4.437500+6 1.154670+0 4.812500+6 1.299670+0 5.000000+6 1.372000+0 5.500000+6 1.562900+0 6.156200+6 1.809830+0 6.500000+6 1.937570+0 7.000000+6 2.121900+0 8.000000+6 2.486540+0 8.500000+6 2.669040+0 9.000000+6 2.852500+0 1.000000+7 3.225000+0 1.187500+7 3.944810+0 1.250000+7 4.189300+0 1.437500+7 4.926630+0 1.500000+7 5.172000+0 1.687500+7 5.896820+0 1.750000+7 6.134600+0 2.000000+7 7.062000+0 2.250000+7 7.953800+0 2.500000+7 8.812500+0 2.875000+7 1.003920+1 3.000000+7 1.043100+1 3.250000+7 1.118380+1 3.500000+7 1.189760+1 3.625000+7 1.223960+1 4.000000+7 1.320600+1 4.500000+7 1.436390+1 5.000000+7 1.541000+1 5.500000+7 1.637380+1 6.000000+7 1.728200+1 6.500000+7 1.814650+1 7.000000+7 1.897400+1 7.500000+7 1.976720+1 8.000000+7 2.052600+1 8.750000+7 2.159720+1 9.000000+7 2.194000+1 1.000000+8 2.322100+1 1.125000+8 2.464320+1 1.156300+8 2.496840+1 1.250000+8 2.588000+1 1.312500+8 2.643140+1 1.406300+8 2.718930+1 1.437500+8 2.742620+1 1.500000+8 2.787100+1 1.625000+8 2.867000+1 1.718800+8 2.920300+1 1.859400+8 2.991460+1 2.000000+8 3.054300+1 2.125000+8 3.104140+1 2.375000+8 3.190140+1 2.500000+8 3.227700+1 2.671900+8 3.273490+1 2.789100+8 3.301390+1 2.875000+8 3.320560+1 2.881300+8 3.321860+1 2.960400+8 3.338100+1 3.000000+8 3.346100+1 3.062500+8 3.357560+1 3.335900+8 3.402930+1 3.418000+8 3.414690+1 3.500000+8 3.425900+1 3.562500+8 3.433730+1 4.000000+8 3.480300+1 4.062500+8 3.485620+1 5.000000+8 3.548200+1 5.125000+8 3.554280+1 5.234400+8 3.559490+1 5.425800+8 3.568360+1 5.712900+8 3.580300+1 6.000000+8 3.591400+1 7.000000+8 3.622800+1 7.625000+8 3.637920+1 8.000000+8 3.645900+1 8.359400+8 3.652170+1 8.660200+8 3.657220+1 9.138700+8 3.664170+1 9.569300+8 3.669610+1 1.000000+9 3.674200+1 1.062500+9 3.679590+1 1.117200+9 3.683100+1 1.186000+9 3.687020+1 1.243500+9 3.689310+1 1.307700+9 3.691750+1 1.375000+9 3.693340+1 1.376400+9 3.693370+1 1.458800+9 3.695080+1 1.500000+9 3.695900+1 1.589800+9 3.696790+1 1.665000+9 3.697490+1 1.784700+9 3.698390+1 1.892300+9 3.698810+1 2.000000+9 3.699200+1 2.093800+9 3.699340+1 2.275400+9 3.699590+1 2.445700+9 3.699810+1 2.680200+9 3.700080+1 2.895300+9 3.700150+1 3.158400+9 3.700120+1 3.496000+9 3.700100+1 3.872000+9 3.700070+1 4.436000+9 3.700030+1 5.000000+9 3.700000+1 6.500000+9 3.700000+1 8.000000+9 3.700000+1 1.00000+10 3.700000+1 1.20500+10 3.700000+1 1.41820+10 3.700000+1 1.71170+10 3.700000+1 2.01490+10 3.700000+1 2.26440+10 3.700000+1 2.74790+10 3.700000+1 3.41360+10 3.700000+1 4.02450+10 3.700000+1 5.12000+10 3.700000+1 6.34000+10 3.700000+1 8.17000+10 3.700000+1 1.00000+11 3.700000+1 1.34280+11 3.700000+1 1.77440+11 3.700000+1 2.63330+11 3.700000+1 3.75720+11 3.700000+1 6.61190+11 3.700000+1 1.48990+12 3.700000+1 4.26460+12 3.700000+1 1.00000+14 3.700000+1 5.62340+14 3.700000+1 7.49890+15 3.700000+1 1.00000+17 3.700000+1 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.423229-6 0.0 1.429359-6 1.819391+0 1.430235-6 2.076652+0 1.433738-6 3.793174+0 1.437241-6 6.395813+0 1.440745-6 9.955029+0 1.447094-6 1.809441+1 1.451303-6 2.342483+1 1.455195-6 2.901161+1 1.460130-6 3.327024+1 1.469313-6 4.030359+1 1.476175-6 4.913150+1 1.481320-6 5.550253+1 1.483835-6 5.722361+1 1.486632-6 5.754303+1 1.490419-6 5.386964+1 1.494889-6 4.464004+1 1.504375-6 2.068262+1 1.507946-6 1.335198+1 1.511517-6 7.956824+0 1.515088-6 4.377114+0 1.520444-6 1.112680+0 1.522230-6 0.0 2.196477-6 0.0 2.205319-6 2.555202-6 2.207289-6 3.992833-6 2.212696-6 8.955577-6 2.216175-6 1.298402-5 2.218102-6 1.577795-5 2.221603-6 2.178443-5 2.223508-6 2.576774-5 2.227031-6 3.390690-5 2.232459-6 4.896147-5 2.243316-6 8.151543-5 2.248744-6 9.397226-5 2.254172-6 1.004772-4 2.259600-6 9.962561-5 2.265028-6 9.158488-5 2.272165-6 7.278388-5 2.282978-6 4.032643-5 2.286741-6 3.055587-5 2.288384-6 2.682662-5 2.292610-6 1.846136-5 2.293791-6 1.655336-5 2.297597-6 1.113946-5 2.303025-6 5.443832-6 2.304603-6 4.253435-6 2.309539-6 2.016716-6 2.313881-6 1.44787-15 2.315182-6 1.59808-15 2.320825-6 2.48741-15 2.326468-6 3.57394-15 2.332111-6 4.74026-15 2.337754-6 5.80377-15 2.343397-6 6.55953-15 2.349040-6 6.84367-15 2.354683-6 6.59112-15 2.360326-6 5.85981-15 2.365969-6 4.80908-15 2.377255-6 2.54789-15 2.382898-6 1.64483-15 2.388541-6 9.80199-16 2.394184-6 5.39215-16 2.400000-6 2.65411-16 2.405470-6 0.0 2.723016-6 0.0 2.732659-6 2.164018-2 2.736421-6 5.162770-2 2.743123-6 1.145692-1 2.746111-6 1.481660-1 2.749826-6 2.039815-1 2.752837-6 2.554554-1 2.759563-6 4.082851-1 2.767130-6 6.329068-1 2.779742-6 1.056143+0 2.787309-6 1.258629+0 2.793194-6 1.358076+0 2.800761-6 1.361305+0 2.807487-6 1.262344+0 2.814427-6 1.076786+0 2.830254-6 5.510927-1 2.833550-6 4.527825-1 2.840277-6 2.871565-1 2.843659-6 2.249411-1 2.847003-6 1.684020-1 2.853729-6 8.758703-2 2.857064-6 6.028041-2 2.867181-6 0.0 2.928362-6 0.0 2.933993-6 2.436517-8 2.942778-6 1.017204-7 2.948437-6 1.670940-7 2.949985-6 1.896340-7 2.955658-6 2.929309-7 2.957193-6 3.268009-7 2.962880-6 4.747325-7 2.971609-6 7.668018-7 2.986024-6 1.314549-6 2.993232-6 1.530226-6 3.000440-6 1.647063-6 3.007648-6 1.639282-6 3.014856-6 1.508682-6 3.022063-6 1.283957-6 3.036479-6 7.353669-7 3.043687-6 4.948905-7 3.049540-6 3.385380-7 3.050895-6 3.079862-7 3.056762-6 1.973055-7 3.058102-6 1.772416-7 3.063983-6 1.062705-7 3.072518-6 2.820835-8 3.078427-6 0.0 3.215055-6 0.0 3.219506-6 1.441426-3 3.230882-6 1.557326-2 3.235355-6 2.201327-2 3.238796-6 2.906202-2 3.243279-6 3.948257-2 3.246709-6 5.013606-2 3.251204-6 6.543782-2 3.259128-6 1.002157-1 3.278363-6 2.026064-1 3.286277-6 2.361421-1 3.290826-6 2.499308-1 3.299321-6 2.569804-1 3.307442-6 2.427218-1 3.315563-6 2.110620-1 3.336942-6 9.847072-2 3.341671-6 7.708685-2 3.346296-6 5.847608-2 3.354221-6 3.458706-2 3.357498-6 2.768615-2 3.362145-6 1.889498-2 3.373325-6 4.539640-3 3.377994-6 5.609561-6 3.385624-6 5.492349-6 3.393737-6 4.972282-6 3.404893-6 3.819636-6 3.418078-6 2.300257-6 3.421134-6 1.985058-6 3.426192-6 1.520088-6 3.429255-6 1.270339-6 3.434305-6 9.286245-7 3.437376-6 7.508619-7 3.442419-6 5.244584-7 3.445497-6 4.099020-7 3.455322-6 1.418575-7 3.457732-6 2.430839-4 3.472331-6 6.181421-3 3.474754-6 7.316766-3 3.480836-6 1.140226-2 3.483265-6 1.324220-2 3.491775-6 2.213677-2 3.500286-6 3.417960-2 3.523360-6 7.427747-2 3.534329-6 8.771606-2 3.542840-6 9.099503-2 3.551351-6 8.717194-2 3.559862-6 7.711618-2 3.585394-6 3.309872-2 3.592154-6 2.367082-2 3.593905-6 2.167845-2 3.602415-6 1.461759-2 3.609837-6 1.098903-2 3.610926-6 1.064173-2 3.618679-6 9.840030-3 3.626062-6 1.017252-2 3.627948-6 1.056814-2 3.636362-6 1.595519-2 3.661414-6 3.574675-2 3.671728-6 4.143712-2 3.680570-6 4.363863-2 3.689412-6 4.281691-2 3.698253-6 3.933733-2 3.715937-6 2.988692-2 3.724778-6 2.641829-2 3.733620-6 2.484514-2 3.742461-6 2.511609-2 3.760145-6 2.753478-2 3.778356-6 2.850405-2 3.787633-6 2.819893-2 3.820200-6 2.578585-2 3.894183-6 2.337644-2 3.940900-6 2.087953-2 3.965900-6 1.854907-2 3.991921-6 1.667456-2 4.023840-6 1.612925-2 4.077810-6 1.707871-2 4.123781-6 1.648811-2 4.290493-6 1.299208-2 4.470108-6 9.981686-3 4.650561-6 7.615653-3 4.809556-6 5.962149-3 4.982349-6 4.530713-3 5.162158-6 3.366266-3 5.330774-6 2.517468-3 5.487049-6 1.899387-3 5.638585-6 1.427529-3 5.789897-6 1.060422-3 5.928855-6 7.991751-4 6.030688-6 6.475600-4 6.156538-6 5.001746-4 6.259928-6 4.074398-4 6.373415-6 3.315914-4 6.484413-6 2.804772-4 6.590000-6 2.501688-4 6.700000-6 2.353986-4 6.810000-6 2.355572-4 6.922500-6 2.490981-4 7.047500-6 2.778228-4 7.200000-6 3.293368-4 7.436840-6 4.372099-4 7.784962-6 6.416113-4 8.664769-6 1.265045-3 9.990117-6 2.220201-3 1.152296-5 3.151690-3 1.344916-5 4.037278-3 1.535047-5 4.681936-3 1.541659-5 5.098967-1 1.542603-5 5.813338-1 1.546382-5 1.057976+0 1.550160-5 1.780668+0 1.553938-5 2.768974+0 1.560787-5 5.029074+0 1.565273-5 6.454460+0 1.569524-5 7.333732+0 1.573066-5 7.592613+0 1.576844-5 7.278789+0 1.581066-5 6.307377+0 1.587333-5 4.263240+0 1.591722-5 2.836288+0 1.595736-5 1.786676+0 1.599278-5 1.094149+0 1.603057-5 6.040974-1 1.608724-5 1.572122-1 1.610613-5 4.891624-3 1.632078-5 4.949768-3 1.636096-5 1.342895-1 1.640113-5 2.608777-1 1.644130-5 4.724160-1 1.648147-5 7.931505-1 1.652164-5 1.231764+0 1.658190-5 2.054909+0 1.664216-5 2.867390+0 1.668233-5 3.240131+0 1.672250-5 3.380275+0 1.676267-5 3.255730+0 1.680284-5 2.895066+0 1.692532-5 1.239991+0 1.696353-5 8.163468-1 1.700370-5 4.885824-1 1.704387-5 2.711189-1 1.710403-5 7.316721-2 1.712422-5 5.232002-3 1.754700-5 5.254773-3 1.755579-5 5.737771-2 1.764221-5 4.988141+0 1.768656-5 9.359801+0 1.772999-5 1.576166+1 1.777816-5 2.569250+1 1.790369-5 5.689816+1 1.795111-5 6.449467+1 1.799516-5 6.673400+1 1.803904-5 6.367537+1 1.809229-5 5.386688+1 1.820900-5 2.500838+1 1.824950-5 1.670690+1 1.828445-5 1.126775+1 1.829173-5 1.044568+1 1.833427-5 7.284243+0 1.837796-5 5.807292+0 1.841924-5 5.284280+0 1.842473-5 5.624661+0 1.846447-5 8.524933+0 1.851765-5 1.416991+1 1.870308-5 4.384957+1 1.875155-5 4.993118+1 1.881256-5 5.521116+1 1.889016-5 5.893921+1 1.894653-5 5.942719+1 1.900255-5 5.782053+1 1.905619-5 5.430319+1 1.913548-5 4.633635+1 1.921303-5 3.782429+1 1.926023-5 3.380519+1 1.932124-5 3.062087+1 1.935112-5 2.951060+1 1.943615-5 2.889943+1 1.955445-5 3.386944+1 1.964659-5 3.880717+1 1.970722-5 4.060034+1 1.975555-5 4.056089+1 1.988052-5 3.717255+1 1.997432-5 3.412649+1 2.010729-5 3.303944+1 2.040872-5 3.091521+1 2.117522-5 2.415917+1 2.205142-5 1.867488+1 2.280000-5 1.530083+1 2.372366-5 1.229073+1 2.458449-5 1.025811+1 2.575255-5 8.250341+0 2.708069-5 6.634588+0 2.844428-5 5.436986+0 2.997176-5 4.448078+0 3.162278-5 3.653957+0 3.353000-5 2.972897+0 3.506333-5 2.552129+0 3.779115-5 2.007432+0 4.064287-5 1.604337+0 4.377305-5 1.296730+0 4.704619-5 1.073323+0 5.087265-5 8.975595-1 5.474155-5 7.824467-1 6.000000-5 6.894081-1 6.553600-5 6.410023-1 7.413102-5 6.182861-1 9.269919-5 6.480579-1 1.122267-4 6.972741-1 1.130607-4 7.490238-1 1.136181-4 8.334964-1 1.138867-4 8.954376-1 1.147580-4 1.134829+0 1.154875-4 1.280884+0 1.165326-4 1.400103+0 1.175070-4 1.422935+0 1.194764-4 1.460930+0 1.238129-4 1.696291+0 1.263500-4 1.929224+0 1.283661-4 2.200616+0 1.307270-4 2.630719+0 1.341872-4 3.478133+0 1.465000-4 7.060373+0 1.610000-4 1.053109+1 1.757924-4 1.349907+1 1.895355-4 1.542340+1 2.116972-4 1.712872+1 2.314513-4 1.811383+1 2.370605-4 1.983594+1 2.427138-4 1.994878+1 2.471175-4 2.046560+1 3.066484-4 1.966129+1 3.143678-4 2.009793+1 3.961835-4 1.763915+1 5.302864-4 1.357641+1 6.382635-4 1.113396+1 7.495982-4 9.235931+0 8.896975-4 7.476752+0 1.038298-3 6.122216+0 1.216186-3 4.951727+0 1.400393-3 4.072529+0 1.636158-3 3.263667+0 1.761374-3 2.955712+0 1.771064-3 3.133431+0 1.775545-3 3.329979+0 1.780808-3 3.733045+0 1.784831-3 4.195311+0 1.790553-3 5.101177+0 1.809683-3 9.106021+0 1.818571-3 1.032497+1 1.829397-3 1.099172+1 1.847808-3 1.170101+1 1.877797-3 1.432683+1 1.893337-3 1.470560+1 2.022725-3 1.373690+1 2.066729-3 1.479379+1 2.158482-3 1.410350+1 2.462317-3 1.159990+1 2.836950-3 9.377016+0 3.244318-3 7.618065+0 3.742250-3 6.072124+0 4.283821-3 4.868597+0 4.880454-3 3.921704+0 5.538829-3 3.168464+0 6.309573-3 2.535260+0 7.169107-3 2.032686+0 7.924817-3 1.705302+0 8.871325-3 1.397846+0 1.003509-2 1.122449+0 1.116492-2 9.268048-1 1.265359-2 7.394771-1 1.431062-2 5.909189-1 1.477414-2 5.606719-1 1.485230-2 5.770998-1 1.489884-2 6.145256-1 1.493652-2 6.767396-1 1.496593-2 7.547015-1 1.500167-2 8.946401-1 1.503684-2 1.088037+0 1.507571-2 1.367976+0 1.514144-2 1.960893+0 1.522591-2 2.743431+0 1.528942-2 3.183197+0 1.535121-2 3.437679+0 1.545272-2 3.580626+0 1.822110-2 2.780683+0 2.104742-2 2.189329+0 2.377655-2 1.782694+0 2.681978-2 1.446385+0 3.042057-2 1.159222+0 3.411493-2 9.436971-1 3.783345-2 7.823451-1 4.175796-2 6.522113-1 4.670625-2 5.299321-1 5.159890-2 4.392176-1 5.771738-2 3.551545-1 6.361143-2 2.945093-1 6.974279-2 2.467113-1 7.809976-2 1.978168-1 8.609875-2 1.634680-1 9.658825-2 1.303375-1 1.085758-1 1.033957-1 1.192543-1 8.587925-2 1.337185-1 6.846766-2 1.466697-1 5.702685-2 1.627795-1 4.639630-2 1.810827-1 3.758922-2 1.985841-1 3.137296-2 2.237966-1 2.486035-2 2.445893-1 2.097563-2 2.691535-1 1.749173-2 3.002904-1 1.427126-2 3.316043-1 1.191251-2 3.659221-1 9.997335-3 4.043140-1 8.416069-3 4.474878-1 7.102844-3 4.995829-1 5.954994-3 5.543065-1 5.078405-3 6.139387-1 4.375474-3 6.923290-1 3.710193-3 7.943282-1 3.119963-3 9.093896-1 2.666229-3 1.070165+0 2.241850-3 1.286622+0 1.842821-3 1.546860+0 1.514816-3 1.859734+0 1.245192-3 2.235892+0 1.023559-3 2.688134+0 8.413749-4 3.231848+0 6.916178-4 3.885536+0 5.685161-4 4.671441+0 4.673254-4 5.616308+0 3.841457-4 6.752287+0 3.157712-4 8.118035+0 2.595668-4 9.760024+0 2.133663-4 1.000000+1 4.298634-4 1 37000 7 0 8.547000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-3.604803+1 1.240644-6-3.430016+1 1.333456-6-3.198573+1 1.379089-6-2.909869+1 1.401909-6-2.608996+1 1.413661-6-2.337330+1 1.420202-6-2.099778+1 1.430235-6-1.498304+1 1.437679-6-9.722731+0 1.441620-6-7.579815+0 1.444248-6-6.810000+0 1.446437-6-6.588491+0 1.451303-6-7.149734+0 1.452814-6-7.671226+0 1.454271-6-8.592813+0 1.455195-6-9.570393+0 1.460130-6-1.351171+1 1.468265-6-1.864655+1 1.470053-6-1.946732+1 1.473913-6-2.250649+1 1.476926-6-2.642232+1 1.479490-6-3.122783+1 1.482073-6-3.691506+1 1.486440-6-2.444946+1 1.490824-6-1.135530+1 1.492066-6-8.342858+0 1.494108-6-3.882033+0 1.494889-6-2.456440+0 1.495475-6-1.501157+0 1.496354-6-2.001704-1 1.497233-6 1.022676+0 1.497679-6 1.605171+0 1.498460-6 2.427422+0 1.499046-6 2.932688+0 1.499925-6 3.526050+0 1.500804-6 3.891081+0 1.502366-6 4.191170+0 1.503371-6 4.157892+0 1.503873-6 4.039190+0 1.506160-6 2.860471+0 1.507053-6 2.310472+0 1.507500-6 1.962726+0 1.508392-6 1.000859+0 1.509955-6-3.632879-1 1.510736-6-1.088030+0 1.511126-6-1.495330+0 1.511517-6-1.994221+0 1.516315-6-7.093782+0 1.521337-6-1.150689+1 1.523546-6-1.404570+1 1.526827-6-1.642527+1 1.533341-6-1.956230+1 1.543642-6-2.270529+1 1.561285-6-2.588773+1 1.590484-6-2.872005+1 1.649362-6-3.135415+1 1.785031-6-3.351382+1 2.227031-6-3.512579+1 2.746111-6-3.622651+1 2.790251-6-3.589375+1 2.833550-6-3.477473+1 3.072518-6-3.562723+1 9.363544-6-3.767065+1 1.344916-5-3.662799+1 1.493464-5-3.462726+1 1.532878-5-3.267840+1 1.554883-5-2.994006+1 1.563384-5-3.072334+1 1.573066-5-3.418169+1 1.584165-5-3.778563+1 1.594555-5-3.788064+1 1.615287-5-3.470796+1 1.656181-5-3.035649+1 1.668233-5-3.071938+1 1.683626-5-3.186073+1 1.696353-5-3.075112+1 1.722789-5-2.561575+1 1.737987-5-2.149452+1 1.746292-5-1.817389+1 1.751689-5-1.510529+1 1.754700-5-1.265369+1 1.756125-5-1.093672+1 1.758513-5-8.720697+0 1.762084-5-5.714507+0 1.763687-5-4.190300+0 1.764221-5-3.550419+0 1.768656-5 1.069987+0 1.769199-5 1.727623+0 1.772999-5 5.182616+0 1.773542-5 5.738280+0 1.774492-5 6.412310+0 1.777816-5 8.174961+0 1.778706-5 8.362967+0 1.779484-5 8.356140+0 1.780846-5 8.046854+0 1.782634-5 7.128002+0 1.783784-5 6.233234+0 1.784933-5 5.057353+0 1.786292-5 3.378896+0 1.787312-5 1.941549+0 1.788076-5 7.286915-1 1.788649-5-2.710245-1 1.789509-5-1.952826+0 1.789939-5-2.907519+0 1.790912-5-5.472410+0 1.792812-5-1.011580+1 1.794237-5-1.404366+1 1.795604-5-1.862525+1 1.798812-5-2.844839+1 1.800613-5-3.464871+1 1.803683-5-4.424966+1 1.806503-5-3.704261+1 1.809600-5-3.025426+1 1.812107-5-2.678915+1 1.815166-5-2.437046+1 1.818379-5-2.365530+1 1.820900-5-2.464535+1 1.824538-5-2.800242+1 1.828445-5-3.360845+1 1.835614-5-4.528392+1 1.841848-5-3.548442+1 1.844165-5-3.138613+1 1.847359-5-2.681893+1 1.853134-5-2.011409+1 1.856692-5-1.792742+1 1.860673-5-1.692536+1 1.863655-5-1.709518+1 1.867154-5-1.832692+1 1.869708-5-2.019554+1 1.874511-5-2.504635+1 1.879904-5-3.187436+1 1.887737-5-4.267833+1 1.891704-5-4.798761+1 1.903940-5-3.230902+1 1.910244-5-2.640090+1 1.915129-5-2.403829+1 1.920029-5-2.354677+1 1.926023-5-2.539025+1 1.940025-5-3.278663+1 1.947788-5-3.695076+1 1.956642-5-3.862790+1 1.962426-5-3.779166+1 1.970722-5-3.351287+1 1.978800-5-2.896971+1 1.988052-5-2.578099+1 1.993350-5-2.535876+1 2.010729-5-2.550999+1 2.052057-5-2.203995+1 2.091324-5-2.011755+1 2.155421-5-1.890291+1 2.254130-5-1.861831+1 2.952347-5-2.279031+1 3.720590-5-2.526153+1 5.248075-5-2.749468+1 1.072836-4-3.197789+1 1.390192-4-3.740490+1 1.610000-4-3.691453+1 2.259266-4-2.908149+1 2.385665-4-2.878776+1 2.581783-4-2.510373+1 2.875743-4-2.162923+1 3.092574-4-2.008944+1 3.143678-4-1.984992+1 3.362184-4-1.745226+1 3.772594-4-1.462500+1 4.268866-4-1.232503+1 4.888370-4-1.039224+1 5.559042-4-9.075876+0 6.382635-4-8.100788+0 7.495982-4-7.425961+0 8.896975-4-7.150730+0 1.038298-3-7.250249+0 1.216186-3-7.736018+0 1.400393-3-8.679786+0 1.541980-3-9.898959+0 1.636158-3-1.123289+1 1.704799-3-1.285329+1 1.740823-3-1.426604+1 1.765913-3-1.594978+1 1.786715-3-1.854386+1 1.800616-3-2.014375+1 1.812954-3-2.011915+1 1.838836-3-1.793173+1 1.869099-3-1.706019+1 1.907376-3-1.365401+1 1.936083-3-1.209427+1 1.977320-3-1.075027+1 2.013400-3-1.017567+1 2.046262-3-1.005071+1 2.066729-3-9.330053+0 2.097382-3-8.073033+0 2.137684-3-7.010976+0 2.207399-3-5.734598+0 2.286083-3-4.692191+0 2.387193-3-3.698370+0 2.462317-3-3.127364+0 2.583375-3-2.403687+0 2.699561-3-1.875008+0 2.794403-3-1.525353+0 2.875112-3-1.277431+0 2.991361-3-9.834500-1 3.095177-3-7.672195-1 3.215048-3-5.707359-1 3.331027-3-4.176229-1 3.447466-3-2.938613-1 3.540371-3-2.130905-1 3.633276-3-1.444882-1 3.716278-3-9.312601-2 3.790462-3-5.362017-2 3.834864-3-3.333589-2 3.885566-3-1.268766-2 3.918811-3-4.819886-4 3.927014-3 2.569872-3 3.966775-3 1.600255-2 3.992038-3 2.380919-2 4.032245-3 3.501933-2 4.112089-3 5.508145-2 4.201632-3 7.181650-2 4.329111-3 8.690176-2 4.394309-3 9.357528-2 4.531992-3 1.000768-1 4.663070-3 1.000904-1 4.826384-3 9.465242-2 4.982743-3 8.379557-2 5.157787-3 6.494850-2 5.349321-3 3.937750-2 5.449350-3 2.500247-2 5.538829-3 1.298512-2 5.587176-3 6.282347-3 5.603218-3 3.760841-3 5.641554-3-2.768760-3 5.743072-3-1.957522-2 5.914934-3-4.892690-2 6.555407-3-1.663947-1 1.037695-2-9.063809-1 1.161701-2-1.183242+0 1.265359-2-1.479416+0 1.341782-2-1.786076+0 1.393633-2-2.088273+0 1.431062-2-2.411131+0 1.459107-2-2.783917+0 1.477414-2-3.180925+0 1.489884-2-3.644327+0 1.509466-2-4.655815+0 1.517131-2-4.742661+0 1.524582-2-4.508276+0 1.545272-2-3.319913+0 1.556099-2-2.901863+0 1.574803-2-2.438850+0 1.595675-2-2.090060+0 1.624668-2-1.734865+0 1.660414-2-1.417247+0 1.702301-2-1.141448+0 1.749402-2-9.064116-1 1.789870-2-7.470906-1 1.847860-2-5.614821-1 1.903074-2-4.190593-1 1.950560-2-3.177556-1 1.995903-2-2.378709-1 2.025169-2-1.922922-1 2.054436-2-1.510695-1 2.104742-2-8.967026-2 2.162217-2-2.997247-2 2.190164-2-5.686714-3 2.223131-2 2.317996-2 2.265773-2 5.427196-2 2.317972-2 8.862144-2 2.377655-2 1.226234-1 2.438206-2 1.511702-1 2.494751-2 1.725739-1 2.567763-2 1.961970-1 2.681978-2 2.226268-1 2.829305-2 2.455314-1 3.042057-2 2.638147-1 3.288551-2 2.673430-1 3.783345-2 2.509269-1 5.566873-2 1.407362-1 6.361143-2 9.987450-2 6.974279-2 7.320455-2 7.598699-2 4.995638-2 8.210294-2 3.013213-2 8.609875-2 1.870957-2 9.015711-2 8.219622-3 9.241372-2 2.815780-3 9.363232-2 1.044196-5 9.457230-2-2.141810-3 9.800846-2-9.588039-3 1.004353-1-1.458568-2 1.059967-1-2.495684-2 1.135671-1-3.743760-2 1.223806-1-4.978626-2 1.337185-1-6.293536-2 1.516422-1-7.913191-2 1.745555-1-9.416268-2 2.104384-1-1.099276-1 2.603326-1-1.231624-1 3.541279-1-1.358337-1 5.401321-1-1.452786-1 1.070165+0-1.509990-1 3.231848+0-1.527147-1 9.760024+0-1.529028-1 1.000000+1-1.528582-1 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.228251-1 1.097748-6 3.595688-1 1.131446-6 4.222710-1 1.160932-6 4.854778-1 1.209308-6 6.092707-1 1.263630-6 7.860194-1 1.289556-6 8.866111-1 1.309001-6 9.710660-1 1.338168-6 1.113405+0 1.384162-6 1.379993+0 1.424549-6 1.670990+0 1.463105-6 2.010240+0 1.498593-6 2.389038+0 1.532046-6 2.820169+0 1.550702-6 3.096538+0 1.568775-6 3.393368+0 1.586283-6 3.711901+0 1.603244-6 4.053311+0 1.635593-6 4.809653+0 1.665951-6 5.672629+0 1.694442-6 6.653522+0 1.708023-6 7.193475+0 1.721179-6 7.770068+0 1.746272-6 9.029118+0 1.770195-6 1.046204+1 1.792623-6 1.206873+1 1.813648-6 1.386504+1 1.833360-6 1.586688+1 1.851840-6 1.809070+1 1.869165-6 2.055353+1 1.885407-6 2.327281+1 1.900634-6 2.626638+1 1.914909-6 2.955232+1 1.928292-6 3.314885+1 1.940838-6 3.707420+1 1.952601-6 4.134649+1 1.963628-6 4.598357+1 1.973966-6 5.100290+1 1.983658-6 5.642137+1 1.992744-6 6.225525+1 2.001262-6 6.852000+1 2.009248-6 7.523022+1 2.016735-6 8.239959+1 2.023754-6 9.004089+1 2.030334-6 9.816609+1 2.036503-6 1.067864+2 2.042286-6 1.159124+2 2.048000-6 1.261060+2 2.052791-6 1.357185+2 2.057556-6 1.464154+2 2.062024-6 1.576528+2 2.066212-6 1.694410+2 2.070139-6 1.817929+2 2.077501-6 2.092096+2 2.083943-6 2.392653+2 2.089580-6 2.720628+2 2.094512-6 3.075382+2 2.098827-6 3.453851+2 2.102603-6 3.850562+2 2.105908-6 4.258319+2 2.108799-6 4.669193+2 2.111328-6 5.075474+2 2.113542-6 5.470370+2 2.117416-6 6.258610+2 2.130838-6 1.008050+3 2.134277-6 1.133788+3 2.138207-6 1.289352+3 2.139517-6 1.343570+3 2.144758-6 1.568593+3 2.145413-6 1.597303+3 2.149998-6 1.798494+3 2.151799-6 1.876481+3 2.155893-6 2.047953+3 2.158759-6 2.161003+3 2.161789-6 2.272459+3 2.164736-6 2.372023+3 2.168339-6 2.481621+3 2.171614-6 2.570899+3 2.187008-6 2.972401+3 2.190329-6 3.092048+3 2.193238-6 3.217928+3 2.196609-6 3.392943+3 2.199945-6 3.599749+3 2.203343-6 3.845347+3 2.214515-6 4.845881+3 2.218632-6 5.242380+3 2.222032-6 5.554574+3 2.223655-6 5.693985+3 2.227225-6 5.969271+3 2.229956-6 6.142976+3 2.232928-6 6.287907+3 2.234390-6 6.340418+3 2.239925-6 6.416874+3 2.241926-6 6.395027+3 2.244725-6 6.320409+3 2.247190-6 6.213537+3 2.249254-6 6.096077+3 2.251164-6 5.966306+3 2.253218-6 5.805913+3 2.255860-6 5.571762+3 2.258209-6 5.341271+3 2.260473-6 5.102974+3 2.263912-6 4.719280+3 2.266595-6 4.408612+3 2.269615-6 4.055042+3 2.271963-6 3.781566+3 2.277330-6 3.178255+3 2.279176-6 2.981777+3 2.282698-6 2.626891+3 2.286724-6 2.258040+3 2.291382-6 1.884009+3 2.302893-6 1.197121+3 2.306155-6 1.056903+3 2.309405-6 9.370830+2 2.312641-6 8.350664+2 2.315866-6 7.483811+2 2.319077-6 6.747466+2 2.322276-6 6.121151+2 2.325463-6 5.586888+2 2.328637-6 5.129200+2 2.331799-6 4.734980+2 2.338098-6 4.093972+2 2.344347-6 3.599204+2 2.350548-6 3.206535+2 2.356700-6 2.887069+2 2.362804-6 2.621762+2 2.368861-6 2.397772+2 2.374870-6 2.206157+2 2.380832-6 2.040469+2 2.386748-6 1.895903+2 2.392618-6 1.768781+2 2.398441-6 1.656225+2 2.409997-6 1.465427+2 2.421373-6 1.310915+2 2.432571-6 1.183582+2 2.443594-6 1.077153+2 2.454445-6 9.871341+1 2.465126-6 9.102071+1 2.475640-6 8.438711+1 2.485990-6 7.862111+1 2.496179-6 7.357280+1 2.506208-6 6.912173+1 2.525952-6 6.158541+1 2.545080-6 5.551591+1 2.563610-6 5.054380+1 2.581561-6 4.641436+1 2.598951-6 4.294136+1 2.615798-6 3.998857+1 2.632118-6 3.745582+1 2.647928-6 3.526454+1 2.678560-6 3.160510+1 2.707278-6 2.872987+1 2.734200-6 2.642921+1 2.759440-6 2.455623+1 2.783103-6 2.300960+1 2.805287-6 2.171793+1 2.846881-6 1.961663+1 2.883276-6 1.805234+1 2.915122-6 1.686709+1 2.970851-6 1.509561+1 3.012649-6 1.396914+1 3.075345-6 1.253507+1 3.176661-6 1.065417+1 3.292519-6 8.964853+0 3.385591-6 7.780398+0 3.455394-6 6.903083+0 3.507747-6 6.199673+0 3.544558-6 5.641223+0 3.559589-6 5.386058+0 3.584249-6 4.914200+0 3.603129-6 4.488089+0 3.618548-6 4.081277+0 3.630113-6 3.736333+0 3.638786-6 3.458430+0 3.645291-6 3.244583+0 3.659317-6 2.805996+0 3.664805-6 2.663491+0 3.667275-6 2.609116+0 3.675424-6 2.490902+0 3.678141-6 2.478258+0 3.680530-6 2.480813+0 3.682920-6 2.497641+0 3.685328-6 2.530504+0 3.686456-6 2.551817+0 3.694354-6 2.821329+0 3.699376-6 3.118079+0 3.701573-6 3.282477+0 3.705234-6 3.606541+0 3.709810-6 4.104271+0 3.714452-6 4.719250+0 3.725742-6 6.685285+0 3.731025-6 7.823598+0 3.735835-6 8.965731+0 3.740515-6 1.015792+1 3.744495-6 1.122046+1 3.748796-6 1.240290+1 3.753168-6 1.362251+1 3.757233-6 1.475387+1 3.759162-6 1.528483+1 3.762864-6 1.628390+1 3.766567-6 1.724591+1 3.774137-6 1.904515+1 3.775199-6 1.927533+1 3.782635-6 2.069992+1 3.786872-6 2.134955+1 3.790259-6 2.177692+1 3.794894-6 2.222433+1 3.799279-6 2.249971+1 3.802861-6 2.261890+1 3.805547-6 2.264753+1 3.809577-6 2.259678+1 3.813606-6 2.244009+1 3.818946-6 2.208463+1 3.820726-6 2.193239+1 3.826152-6 2.137813+1 3.827960-6 2.116673+1 3.837025-6 1.995530+1 3.847805-6 1.832013+1 3.855155-6 1.717791+1 3.875105-6 1.434178+1 3.883583-6 1.333852+1 3.891796-6 1.249744+1 3.899752-6 1.180020+1 3.907460-6 1.122451+1 3.922393-6 1.034015+1 3.936393-6 9.718773+0 3.949518-6 9.260898+0 3.974127-6 8.605135+0 3.995660-6 8.162803+0 4.033343-6 7.551739+0 4.096000-6 6.753832+0 4.146392-6 6.165241+0 4.166803-6 5.905878+0 4.177009-6 5.764674+0 4.187215-6 5.613876+0 4.197421-6 5.453416+0 4.221659-6 5.051480+0 4.228472-6 4.943113+0 4.242441-6 4.752542+0 4.249287-6 4.684929+0 4.252832-6 4.659107+0 4.259695-6 4.630430+0 4.267639-6 4.637953+0 4.272705-6 4.668483+0 4.280511-6 4.757999+0 4.283874-6 4.812923+0 4.289759-6 4.932698+0 4.297484-6 5.133673+0 4.304932-6 5.369463+0 4.322142-6 6.021954+0 4.335152-6 6.542251+0 4.342958-6 6.832331+0 4.345560-6 6.922127+0 4.353366-6 7.164492+0 4.356952-6 7.260252+0 4.363229-6 7.401245+0 4.367937-6 7.483475+0 4.374998-6 7.567835+0 4.382059-6 7.605869+0 4.387916-6 7.604005+0 4.394997-6 7.564902+0 4.405405-6 7.445255+0 4.415813-6 7.269456+0 4.429481-6 6.986671+0 4.478100-6 5.947394+0 4.488911-6 5.756517+0 4.499983-6 5.583813+0 4.511009-6 5.438039+0 4.522058-6 5.322386+0 4.533107-6 5.241605+0 4.544156-6 5.199243+0 4.551532-6 5.193118+0 4.562596-6 5.216068+0 4.573660-6 5.272904+0 4.588351-6 5.384850+0 4.610449-6 5.570249+0 4.621498-6 5.642217+0 4.627365-6 5.669817+0 4.636165-6 5.694968+0 4.644966-6 5.699718+0 4.656371-6 5.677103+0 4.665693-6 5.638446+0 4.688461-6 5.501829+0 4.711261-6 5.368215+0 4.724800-6 5.312228+0 4.736205-6 5.281138+0 4.759015-6 5.252237+0 4.804635-6 5.219286+0 5.012475-6 4.897704+0 5.143938-6 4.671904+0 5.463761-6 4.274601+0 6.144000-6 3.558875+0 6.606934-6 3.159431+0 6.869562-6 2.947531+0 7.142124-6 2.733254+0 7.421965-6 2.520506+0 7.680000-6 2.331078+0 7.889010-6 2.180449+0 8.150000-6 1.998822+0 8.396311-6 1.833753+0 8.639727-6 1.677458+0 8.863496-6 1.540078+0 9.116700-6 1.391904+0 9.304933-6 1.286581+0 9.449968-6 1.206158+0 9.600000-6 1.122111+0 9.730000-6 1.049687+0 9.887500-6 9.633751-1 1.002500-5 8.900481-1 1.016625-5 8.164183-1 1.027000-5 7.638125-1 1.039000-5 7.042351-1 1.051065-5 6.459218-1 1.057500-5 6.156056-1 1.065000-5 5.808440-1 1.072500-5 5.466088-1 1.082541-5 5.017253-1 1.092276-5 4.593923-1 1.102819-5 4.148928-1 1.115594-5 3.632489-1 1.131965-5 3.013101-1 1.151683-5 2.324459-1 1.167137-5 1.833293-1 1.175335-5 1.593157-1 1.184729-5 1.337210-1 1.202047-5 9.162184-2 1.205715-5 8.357766-2 1.219093-5 5.720687-2 1.235874-5 3.085799-2 1.252392-5 1.294348-2 1.268652-5 3.945340-3 1.284658-5 3.988251-3 1.292536-5 7.531548-3 1.300353-5 1.355987-2 1.308108-5 2.199902-2 1.315803-5 3.222435-2 1.327225-5 4.627865-2 1.333814-5 4.992443-2 1.334751-5 5.003919-2 1.347787-5 4.204510-2 1.355172-5 3.301570-2 1.362499-5 2.403855-2 1.366875-5 1.923481-2 1.369769-5 1.636908-2 1.376982-5 1.041309-2 1.384138-5 6.248155-3 1.398340-5 3.276063-3 1.412320-5 7.700144-3 1.426081-5 2.000800-2 1.439627-5 4.066042-2 1.452962-5 7.010367-2 1.466088-5 1.087780-1 1.480000-5 1.612144-1 1.491728-5 2.154693-1 1.504249-5 2.845470-1 1.516574-5 3.646264-1 1.532500-5 4.872227-1 1.540649-5 5.591187-1 1.564161-5 8.036912-1 1.586938-5 1.100680+0 1.609004-5 1.456127+0 1.630380-5 1.874524+0 1.651088-5 2.359275+0 1.671149-5 2.913542+0 1.690583-5 3.542325+0 1.709410-5 4.251881+0 1.727649-5 5.049099+0 1.762433-5 6.931878+0 1.810639-5 1.056442+1 1.868171-5 1.717147+1 1.906771-5 2.374624+1 1.941864-5 3.193612+1 1.967263-5 3.969953+1 1.983746-5 4.582225+1 1.995262-5 5.071661+1 2.012138-5 5.897516+1 2.029694-5 6.920831+1 2.046153-5 8.068891+1 2.061584-5 9.352030+1 2.076050-5 1.078054+2 2.089612-5 1.236484+2 2.102326-5 1.411547+2 2.114245-5 1.604308+2 2.125420-5 1.815845+2 2.135896-5 2.047245+2 2.145718-5 2.299594+2 2.154925-5 2.573973+2 2.163558-5 2.871438+2 2.171650-5 3.193018+2 2.179237-5 3.539720+2 2.186956-5 3.946763+2 2.193018-5 4.312497+2 2.199269-5 4.740579+2 2.205130-5 5.197794+2 2.210624-5 5.685139+2 2.215775-5 6.203622+2 2.220604-5 6.754289+2 2.225131-5 7.338277+2 2.229376-5 7.956870+2 2.233355-5 8.611551+2 2.237085-5 9.304017+2 2.240582-5 1.003614+3 2.247139-5 1.168515+3 2.252877-5 1.352704+3 2.257897-5 1.556782+3 2.262290-5 1.779885+3 2.266134-5 2.019498+3 2.269497-5 2.271703+3 2.272440-5 2.531705+3 2.275015-5 2.794422+3 2.277268-5 3.055003+3 2.281211-5 3.590173+3 2.286386-5 4.472351+3 2.297345-5 7.187394+3 2.301807-5 8.677155+3 2.304328-5 9.622953+3 2.307150-5 1.076948+4 2.310891-5 1.242486+4 2.311811-5 1.285357+4 2.317474-5 1.565043+4 2.318181-5 1.601545+4 2.323136-5 1.862259+4 2.325082-5 1.965466+4 2.328798-5 2.159536+4 2.330619-5 2.251670+4 2.332271-5 2.332685+4 2.334982-5 2.458701+4 2.337057-5 2.547998+4 2.338752-5 2.615425+4 2.340976-5 2.695368+4 2.343836-5 2.782050+4 2.346139-5 2.837246+4 2.349457-5 2.891722+4 2.351967-5 2.912151+4 2.354579-5 2.913757+4 2.357360-5 2.893298+4 2.359491-5 2.862373+4 2.362311-5 2.801845+4 2.365077-5 2.722058+4 2.367657-5 2.631016+4 2.369957-5 2.537773+4 2.372679-5 2.414731+4 2.374222-5 2.339774+4 2.376847-5 2.205243+4 2.378857-5 2.097543+4 2.380498-5 2.007399+4 2.382652-5 1.887133+4 2.385076-5 1.750633+4 2.386130-5 1.691285+4 2.388607-5 1.552820+4 2.391084-5 1.417078+4 2.394269-5 1.248826+4 2.396746-5 1.124355+4 2.402409-5 8.661986+3 2.404384-5 7.859096+3 2.405920-5 7.272106+3 2.410804-5 5.631402+3 2.415959-5 4.276480+3 2.418833-5 3.687614+3 2.420473-5 3.403489+3 2.422272-5 3.134310+3 2.423979-5 2.918867+3 2.424864-5 2.822251+3 2.426192-5 2.696204+3 2.427583-5 2.588001+3 2.429336-5 2.485276+3 2.430642-5 2.432561+3 2.431820-5 2.401878+3 2.433134-5 2.386020+3 2.434023-5 2.385987+3 2.435565-5 2.405751+3 2.436891-5 2.442147+3 2.438071-5 2.489105+3 2.439241-5 2.548615+3 2.440196-5 2.606451+3 2.441629-5 2.708113+3 2.443609-5 2.876315+3 2.445911-5 3.109141+3 2.450970-5 3.738749+3 2.454834-5 4.302025+3 2.457913-5 4.782726+3 2.460444-5 5.188370+3 2.463108-5 5.616286+3 2.465814-5 6.042920+3 2.467452-5 6.293084+3 2.471143-5 6.823100+3 2.473866-5 7.174132+3 2.475321-5 7.344872+3 2.477979-5 7.622151+3 2.480110-5 7.809325+3 2.485783-5 8.139384+3 2.487667-5 8.192133+3 2.491262-5 8.213077+3 2.494169-5 8.155148+3 2.496710-5 8.052358+3 2.499742-5 7.870671+3 2.501561-5 7.733423+3 2.504624-5 7.459861+3 2.507579-5 7.152722+3 2.508563-5 7.042328+3 2.511851-5 6.650282+3 2.514518-5 6.311636+3 2.518307-5 5.811289+3 2.520473-5 5.520749+3 2.526427-5 4.729467+3 2.529101-5 4.387086+3 2.534204-5 3.771218+3 2.539543-5 3.193917+3 2.549957-5 2.294370+3 2.552809-5 2.100355+3 2.557572-5 1.822497+3 2.560439-5 1.680950+3 2.563306-5 1.556894+3 2.566090-5 1.451675+3 2.568177-5 1.381683+3 2.571308-5 1.289530+3 2.574440-5 1.210937+3 2.577517-5 1.144992+3 2.580595-5 1.088475+3 2.583107-5 1.048202+3 2.585619-5 1.012332+3 2.592944-5 9.264252+2 2.596889-5 8.880587+2 2.617952-5 7.189877+2 2.634369-5 6.064314+2 2.639719-5 5.746831+2 2.645175-5 5.454846+2 2.649854-5 5.231357+2 2.654332-5 5.040830+2 2.658834-5 4.871832+2 2.669511-5 4.555928+2 2.674762-5 4.440924+2 2.681192-5 4.332725+2 2.686970-5 4.263231+2 2.694726-5 4.205091+2 2.701484-5 4.179619+2 2.723975-5 4.144370+2 2.728230-5 4.128473+2 2.737163-5 4.074065+2 2.747586-5 3.976161+2 2.761479-5 3.811830+2 2.777025-5 3.629118+2 2.792635-5 3.476456+2 2.808746-5 3.348989+2 2.834725-5 3.176509+2 2.897397-5 2.830780+2 2.916938-5 2.737885+2 2.970445-5 2.521609+2 3.003530-5 2.408411+2 3.037128-5 2.305718+2 3.072000-5 2.210355+2 3.118692-5 2.097990+2 3.162278-5 2.005329+2 3.197239-5 1.938864+2 3.257961-5 1.836665+2 3.314888-5 1.752553+2 3.368257-5 1.682761+2 3.437642-5 1.603130+2 3.602122-5 1.446811+2 3.716299-5 1.358665+2 3.903654-5 1.238689+2 4.168791-5 1.102169+2 4.271400-5 1.052271+2 4.299599-5 1.042648+2 4.340716-5 1.036351+2 4.371554-5 1.033116+2 4.401692-5 1.025715+2 4.502748-5 9.846819+1 4.852187-5 8.908753+1 5.128614-5 8.306124+1 5.368332-5 7.859206+1 5.800000-5 7.197070+1 6.456542-5 6.418539+1 7.680000-5 5.379341+1 8.511380-5 4.804693+1 9.150000-5 4.397578+1 1.000000-4 3.853111+1 1.071477-4 3.386800+1 1.127767-4 2.996857+1 1.178447-4 2.627072+1 1.203837-4 2.432715+1 1.250710-4 2.056282+1 1.277191-4 1.831530+1 1.307074-4 1.564688+1 1.319062-4 1.452499+1 1.336342-4 1.282242+1 1.347695-4 1.162839+1 1.359790-4 1.024726+1 1.367179-4 9.359585+0 1.377353-4 8.211445+0 1.380745-4 7.889706+0 1.384099-4 7.618651+0 1.386635-4 7.449168+0 1.390528-4 7.251840+0 1.394361-4 7.130337+0 1.398889-4 7.067544+0 1.402315-4 7.063969+0 1.411921-4 7.135297+0 1.417403-4 7.150951+0 1.421178-4 7.126023+0 1.425617-4 7.050098+0 1.429370-4 6.945341+0 1.433058-4 6.809010+0 1.437000-4 6.632637+0 1.442315-4 6.358978+0 1.450188-4 5.918121+0 1.467000-4 5.031923+0 1.472075-4 4.809876+0 1.479108-4 4.552333+0 1.483727-4 4.420425+0 1.487500-4 4.337632+0 1.494000-4 4.253978+0 1.502000-4 4.266634+0 1.507000-4 4.346860+0 1.511101-4 4.457590+0 1.515171-4 4.609493+0 1.520000-4 4.845944+0 1.525130-4 5.165659+0 1.531845-4 5.692719+0 1.536846-4 6.165303+0 1.544351-4 7.002024+0 1.562494-4 9.636361+0 1.571243-4 1.120005+1 1.577495-4 1.242640+1 1.587494-4 1.456471+1 1.601427-4 1.788074+1 1.622500-4 2.353268+1 1.643000-4 2.965019+1 1.647500-4 3.106709+1 1.668161-4 3.786474+1 1.690000-4 4.546592+1 1.693363-4 4.666604+1 1.714150-4 5.420793+1 1.732093-4 6.081689+1 1.737500-4 6.281514+1 1.750000-4 6.743379+1 1.760000-4 7.111720+1 1.770000-4 7.478051+1 1.780000-4 7.841651+1 1.800000-4 8.558812+1 1.823440-4 9.379955+1 1.850000-4 1.028412+2 1.883649-4 1.139672+2 1.932384-4 1.297525+2 1.980000-4 1.451270+2 2.040000-4 1.644639+2 2.089296-4 1.801643+2 2.139230-4 1.954989+2 2.199600-4 2.129613+2 2.240000-4 2.238153+2 2.310995-4 2.410851+2 2.371374-4 2.540912+2 2.405000-4 2.604979+2 2.446265-4 2.675894+2 2.480000-4 2.726536+2 2.508705-4 2.760733+2 2.533672-4 2.781849+2 2.573270-4 2.796825+2 2.580000-4 2.802660+2 2.588223-4 2.817811+2 2.596275-4 2.846868+2 2.606423-4 2.913474+2 2.614810-4 3.000503+2 2.623580-4 3.124316+2 2.634689-4 3.319510+2 2.646815-4 3.547534+2 2.654499-4 3.676585+2 2.659873-4 3.751383+2 2.667327-4 3.827904+2 2.674916-4 3.870797+2 2.680720-4 3.881301+2 2.685189-4 3.878415+2 2.694417-4 3.851959+2 2.704932-4 3.810505+2 2.712678-4 3.788202+2 2.721429-4 3.782782+2 2.725633-4 3.789340+2 2.731472-4 3.808576+2 2.737390-4 3.839147+2 2.748447-4 3.918455+2 2.768604-4 4.078550+2 2.776730-4 4.127826+2 2.787799-4 4.170977+2 2.795316-4 4.185169+2 2.803005-4 4.189891+2 2.836035-4 4.176445+2 2.854642-4 4.185513+2 3.017864-4 4.463880+2 3.096187-4 4.589224+2 3.206418-4 4.741435+2 3.295627-4 4.838115+2 3.382770-4 4.902892+2 3.419002-4 4.938157+2 3.443079-4 4.990114+2 3.462605-4 5.054843+2 3.509687-4 5.239055+2 3.538699-4 5.326140+2 3.600000-4 5.443367+2 3.715352-4 5.605910+2 3.840000-4 5.749784+2 3.957771-4 5.865761+2 4.100000-4 5.985127+2 4.277470-4 6.113651+2 4.610521-4 6.299454+2 4.995385-4 6.453791+2 5.387014-4 6.558957+2 6.012484-4 6.645747+2 6.535371-4 6.670904+2 6.863631-4 6.664168+2 7.635747-4 6.592054+2 8.328869-4 6.511271+2 9.231661-4 6.381897+2 1.025024-3 6.186886+2 1.082052-3 6.073081+2 1.137224-3 5.958614+2 1.197747-3 5.821270+2 1.257601-3 5.672662+2 1.323948-3 5.501682+2 1.388486-3 5.325139+2 1.455443-3 5.123920+2 1.517131-3 4.923118+2 1.571267-3 4.732346+2 1.621810-3 4.535433+2 1.657701-3 4.381428+2 1.691063-3 4.222719+2 1.721628-3 4.058855+2 1.755173-3 3.855347+2 1.780461-3 3.680407+2 1.800206-3 3.526284+2 1.818076-3 3.368917+2 1.836165-3 3.185888+2 1.850000-3 3.022727+2 1.861234-3 2.867913+2 1.871315-3 2.704461+2 1.880164-3 2.537404+2 1.887376-3 2.386149+2 1.901642-3 2.083617+2 1.906090-3 2.005561+2 1.909065-3 1.962717+2 1.910747-3 1.942612+2 1.912996-3 1.920993+2 1.916260-3 1.901513+2 1.918688-3 1.896937+2 1.920589-3 1.899575+2 1.923171-3 1.912087+2 1.925721-3 1.934502+2 1.928305-3 1.967087+2 1.930258-3 1.997906+2 1.933328-3 2.056086+2 1.938752-3 2.182185+2 1.948768-3 2.451525+2 1.950946-3 2.509482+2 1.954429-3 2.598005+2 1.957394-3 2.667948+2 1.961809-3 2.761212+2 1.965230-3 2.824262+2 1.967903-3 2.868303+2 1.971536-3 2.921962+2 1.980916-3 3.040984+2 1.990656-3 3.165683+2 1.999322-3 3.298618+2 2.009676-3 3.486957+2 2.025368-3 3.798351+2 2.030110-3 3.890580+2 2.041738-3 4.102859+2 2.047675-3 4.201784+2 2.056188-3 4.331341+2 2.063855-3 4.435479+2 2.074333-3 4.559408+2 2.086158-3 4.676426+2 2.098199-3 4.774792+2 2.114722-3 4.882097+2 2.130787-3 4.959493+2 2.144701-3 5.006599+2 2.167570-3 5.063308+2 2.176540-3 5.093135+2 2.184973-3 5.133862+2 2.193189-3 5.189067+2 2.206777-3 5.314396+2 2.232227-3 5.603773+2 2.242859-3 5.715758+2 2.253398-3 5.812556+2 2.265803-3 5.908462+2 2.279422-3 5.995669+2 2.297126-3 6.089913+2 2.319983-3 6.192040+2 2.344229-3 6.284034+2 2.396006-3 6.439024+2 2.454306-3 6.562891+2 2.518561-3 6.658565+2 2.623652-3 6.762603+2 2.725152-3 6.812685+2 2.882216-3 6.822427+2 3.059286-3 6.785342+2 3.242954-3 6.695129+2 3.462382-3 6.552775+2 3.721268-3 6.363848+2 4.052820-3 6.096621+2 4.478754-3 5.746800+2 4.885468-3 5.425831+2 5.308845-3 5.112420+2 6.012602-3 4.637164+2 6.541019-3 4.320864+2 7.312443-3 3.906349+2 7.926154-3 3.612115+2 8.508503-3 3.357482+2 9.224914-3 3.072753+2 9.898258-3 2.829351+2 1.071036-2 2.564233+2 1.154989-2 2.318436+2 1.199409-2 2.197993+2 1.245966-2 2.077985+2 1.320073-2 1.897802+2 1.380865-2 1.756991+2 1.429606-2 1.645521+2 1.466381-2 1.559743+2 1.494084-2 1.491754+2 1.517453-2 1.429685+2 1.528789-2 1.396852+2 1.537163-2 1.370760+2 1.546032-2 1.340609+2 1.553584-2 1.311993+2 1.560105-2 1.284306+2 1.568683-2 1.242782+2 1.579978-2 1.180760+2 1.590025-2 1.127958+2 1.595653-2 1.105618+2 1.599881-2 1.094579+2 1.604871-2 1.089184+2 1.608626-2 1.090845+2 1.612229-2 1.096860+2 1.618339-2 1.115451+2 1.627702-2 1.156590+2 1.638562-2 1.206857+2 1.645358-2 1.233532+2 1.649742-2 1.248034+2 1.655656-2 1.264340+2 1.660886-2 1.276021+2 1.667494-2 1.287791+2 1.681389-2 1.304825+2 1.699113-2 1.317309+2 1.722281-2 1.324899+2 1.746232-2 1.326051+2 1.778577-2 1.320721+2 1.827533-2 1.303577+2 1.899984-2 1.268046+2 1.977272-2 1.224444+2 2.079043-2 1.164509+2 2.186102-2 1.101761+2 2.349992-2 1.010777+2 2.581517-2 8.966399+1 2.836798-2 7.885793+1 3.134360-2 6.841009+1 3.462884-2 5.903125+1 3.826736-2 5.060139+1 4.217676-2 4.321765+1 5.197494-2 3.048575+1 5.979909-2 2.393049+1 8.753616-2 1.219704+1 1.094982-1 8.161680+0 1.325392-1 5.750780+0 1.613467-1 3.981617+0 2.074014-1 2.470458+0 2.797169-1 1.388188+0 4.005135-1 6.897449-1 5.905409-1 3.212247-1 1.000000+0 1.129481-1 2.688134+0 1.569728-2 8.118035+0 1.722266-3 2.451607+1 1.888560-4 7.403736+1 2.070781-5 2.235892+2 2.270568-6 6.752287+2 2.489628-7 2.511886+3 1.799021-8 7.943282+3 1.799021-9 2.511886+4 1.79902-10 7.943282+4 1.79902-11 1.000000+5 1.13511-11 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.996000-6 1.258900-6 3.163500-6 1.584900-6 5.013800-6 1.995300-6 7.946300-6 2.511900-6 1.259400-5 3.162300-6 1.996000-5 3.981100-6 3.163400-5 5.011900-6 5.013700-5 6.309600-6 7.946100-5 7.943300-6 1.259400-4 1.000000-5 1.995900-4 1.258900-5 3.163300-4 1.584900-5 5.013400-4 1.995300-5 7.945000-4 2.511900-5 1.258500-3 3.162300-5 1.993300-3 3.981100-5 3.157700-3 5.011900-5 5.002700-3 6.309600-5 7.926200-3 7.943300-5 1.253400-2 1.000000-4 1.981100-2 1.258900-4 3.131000-2 1.584900-4 4.932600-2 1.995300-4 7.752200-2 2.511900-4 1.212100-1 3.162300-4 1.880100-1 3.981100-4 2.878600-1 5.011900-4 4.327100-1 6.309600-4 6.341100-1 7.943300-4 8.982800-1 1.000000-3 1.224400+0 1.258900-3 1.608200+0 1.584900-3 2.058300+0 1.995300-3 2.603400+0 2.511900-3 3.271100+0 3.162300-3 4.074500+0 3.981100-3 5.023600+0 5.011900-3 6.121100+0 6.309600-3 7.327600+0 7.943300-3 8.602000+0 1.000000-2 9.948200+0 1.258900-2 1.135200+1 1.584900-2 1.277700+1 1.995300-2 1.411300+1 2.511900-2 1.534800+1 3.162300-2 1.634600+1 3.981100-2 1.702300+1 5.011900-2 1.742000+1 6.309600-2 1.769400+1 7.943300-2 1.756100+1 1.000000-1 1.716700+1 1.258900-1 1.658900+1 1.584900-1 1.582500+1 1.995300-1 1.493300+1 2.511900-1 1.395600+1 3.162300-1 1.293300+1 3.981100-1 1.189700+1 5.011900-1 1.087200+1 6.309600-1 9.873500+0 7.943300-1 8.909700+0 1.000000+0 7.994700+0 1.258900+0 7.128100+0 1.584900+0 6.315100+0 1.995300+0 5.559400+0 2.511900+0 4.863300+0 3.162300+0 4.228300+0 3.981100+0 3.654600+0 5.011900+0 3.141000+0 6.309600+0 2.685800+0 7.943300+0 2.285500+0 1.000000+1 1.936300+0 1.258900+1 1.633800+0 1.584900+1 1.373600+0 1.995300+1 1.150900+0 2.511900+1 9.615200-1 3.162300+1 8.011100-1 3.981100+1 6.658300-1 5.011900+1 5.521700-1 6.309600+1 4.570000-1 7.943300+1 3.775400-1 1.000000+2 3.113800-1 1.258900+2 2.564300-1 1.584900+2 2.108800-1 1.995300+2 1.732000-1 2.511900+2 1.420900-1 3.162300+2 1.164400-1 3.981100+2 9.532500-2 5.011900+2 7.796500-2 6.309600+2 6.371100-2 7.943300+2 5.202100-2 1.000000+3 4.244300-2 1.258900+3 3.460300-2 1.584900+3 2.819200-2 1.995300+3 2.295400-2 2.511900+3 1.867800-2 3.162300+3 1.519000-2 3.981100+3 1.234600-2 5.011900+3 1.003000-2 6.309600+3 8.143900-3 7.943300+3 6.609400-3 1.000000+4 5.361600-3 1.258900+4 4.347400-3 1.584900+4 3.523700-3 1.995300+4 2.854800-3 2.511900+4 2.312000-3 3.162300+4 1.871800-3 3.981100+4 1.514800-3 5.011900+4 1.225500-3 6.309600+4 9.910800-4 7.943300+4 8.012600-4 1.000000+5 6.475900-4 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994175-4 2.511886-4 2.510162-4 3.162278-4 3.159560-4 3.981072-4 3.976785-4 5.011872-4 5.005126-4 6.309573-4 6.298969-4 7.943282-4 7.926745-4 1.000000-3 9.974263-4 1.258925-3 1.254928-3 1.584893-3 1.578673-3 1.995262-3 1.985530-3 2.511886-3 2.496596-3 3.162278-3 3.138243-3 3.981072-3 3.943328-3 5.011872-3 4.952708-3 6.309573-3 6.217070-3 7.943282-3 7.799455-3 1.000000-2 9.776820-3 1.258925-2 1.224271-2 1.584893-2 1.531203-2 1.995262-2 1.912351-2 2.511886-2 2.384875-2 3.162278-2 2.968596-2 3.981072-2 3.687295-2 5.011872-2 4.568940-2 6.309573-2 5.647444-2 7.943282-2 6.959596-2 1.000000-1 8.552189-2 1.258925-1 1.046645-1 1.584893-1 1.277234-1 1.995262-1 1.552966-1 2.511886-1 1.882120-1 3.162278-1 2.273508-1 3.981072-1 2.737273-1 5.011872-1 3.285180-1 6.309573-1 3.931611-1 7.943282-1 4.692731-1 1.000000+0 5.586352-1 1.258925+0 6.639977-1 1.584893+0 7.883957-1 1.995262+0 9.354848-1 2.511886+0 1.110022+0 3.162278+0 1.317756+0 3.981072+0 1.565731+0 5.011872+0 1.862499+0 6.309573+0 2.218661+0 7.943282+0 2.647130+0 1.000000+1 3.163743+0 1.258925+1 3.787766+0 1.584893+1 4.542903+0 1.995262+1 5.458103+0 2.511886+1 6.568838+0 3.162278+1 7.918802+0 3.981072+1 9.561261+0 5.011872+1 1.156203+1 6.309573+1 1.400165+1 7.943282+1 1.697916+1 1.000000+2 2.061666+1 1.258925+2 2.506392+1 1.584893+2 3.050557+1 1.995262+2 3.716878+1 2.511886+2 4.533393+1 3.162278+2 5.534651+1 3.981072+2 6.763090+1 5.011872+2 8.271415+1 6.309573+2 1.012438+2 7.943282+2 1.240196+2 1.000000+3 1.520284+2 1.258925+3 1.864917+2 1.584893+3 2.289166+2 1.995262+3 2.811801+2 2.511886+3 3.455664+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090815-9 2.511886-5 1.728578-9 3.162278-5 2.739425-9 3.981072-5 4.341622-9 5.011872-5 6.880998-9 6.309573-5 1.090545-8 7.943282-5 1.727442-8 1.000000-4 2.736904-8 1.258925-4 4.336689-8 1.584893-4 6.866450-8 1.995262-4 1.087065-7 2.511886-4 1.724262-7 3.162278-4 2.717659-7 3.981072-4 4.286761-7 5.011872-4 6.746136-7 6.309573-4 1.060440-6 7.943282-4 1.653741-6 1.000000-3 2.573663-6 1.258925-3 3.997102-6 1.584893-3 6.220314-6 1.995262-3 9.732775-6 2.511886-3 1.529076-5 3.162278-3 2.403473-5 3.981072-3 3.774361-5 5.011872-3 5.916457-5 6.309573-3 9.250380-5 7.943282-3 1.438272-4 1.000000-2 2.231797-4 1.258925-2 3.465461-4 1.584893-2 5.369060-4 1.995262-2 8.291134-4 2.511886-2 1.270112-3 3.162278-2 1.936816-3 3.981072-2 2.937768-3 5.011872-2 4.429324-3 6.309573-2 6.621298-3 7.943282-2 9.836864-3 1.000000-1 1.447811-2 1.258925-1 2.122806-2 1.584893-1 3.076590-2 1.995262-1 4.422962-2 2.511886-1 6.297669-2 3.162278-1 8.887694-2 3.981072-1 1.243799-1 5.011872-1 1.726692-1 6.309573-1 2.377962-1 7.943282-1 3.250552-1 1.000000+0 4.413648-1 1.258925+0 5.949278-1 1.584893+0 7.964975-1 1.995262+0 1.059777+0 2.511886+0 1.401864+0 3.162278+0 1.844521+0 3.981072+0 2.415340+0 5.011872+0 3.149373+0 6.309573+0 4.090913+0 7.943282+0 5.296152+0 1.000000+1 6.836257+0 1.258925+1 8.801488+0 1.584893+1 1.130603+1 1.995262+1 1.449452+1 2.511886+1 1.855003+1 3.162278+1 2.370397+1 3.981072+1 3.024946+1 5.011872+1 3.855669+1 6.309573+1 4.909408+1 7.943282+1 6.245367+1 1.000000+2 7.938334+1 1.258925+2 1.008286+2 1.584893+2 1.279837+2 1.995262+2 1.623575+2 2.511886+2 2.058547+2 3.162278+2 2.608813+2 3.981072+2 3.304763+2 5.011872+2 4.184731+2 6.309573+2 5.297136+2 7.943282+2 6.703086+2 1.000000+3 8.479716+2 1.258925+3 1.072434+3 1.584893+3 1.355977+3 1.995262+3 1.714082+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.100000-6 1.762245+6 5.308844-6 1.401042+6 5.500000-6 1.137980+6 5.700000-6 9.165320+5 5.920000-6 7.229500+5 6.100000-6 5.953500+5 6.270000-6 4.953800+5 6.456542-6 4.045886+5 6.606934-6 3.432479+5 6.770000-6 2.867540+5 6.930000-6 2.399160+5 7.100000-6 1.980172+5 7.270000-6 1.629436+5 7.420000-6 1.367824+5 7.550000-6 1.172290+5 7.700000-6 9.778360+4 7.852356-6 8.099782+4 8.000000-6 6.719320+4 8.150000-6 5.531040+4 8.270000-6 4.716300+4 8.380000-6 4.063240+4 8.511380-6 3.388053+4 8.650000-6 2.785020+4 8.770000-6 2.343020+4 8.920000-6 1.882184+4 9.280000-6 1.117234+4 9.380000-6 9.749440+3 9.460000-6 8.794980+3 9.520000-6 8.178260+3 9.570000-6 7.725320+3 9.620000-6 7.325020+3 9.670000-6 6.974780+3 9.730000-6 6.617200+3 9.790000-6 6.324260+3 9.850000-6 6.092200+3 9.910000-6 5.917460+3 9.960000-6 5.813160+3 1.000000-5 5.755440+3 1.005000-5 5.713940+3 1.010000-5 5.704880+3 1.015000-5 5.726620+3 1.021500-5 5.798400+3 1.027000-5 5.895300+3 1.033000-5 6.036540+3 1.039000-5 6.212580+3 1.047129-5 6.502686+3 1.055000-5 6.835900+3 1.065000-5 7.326540+3 1.077000-5 8.004180+3 1.122018-5 1.121360+4 1.142000-5 1.288144+4 1.161449-5 1.459937+4 1.180000-5 1.630062+4 1.200000-5 1.818098+4 1.222000-5 2.028180+4 1.244515-5 2.244545+4 1.264200-5 2.433404+4 1.288250-5 2.662205+4 1.310000-5 2.866200+4 1.333521-5 3.082635+4 1.357000-5 3.293560+4 1.380384-5 3.497929+4 1.412538-5 3.768767+4 1.445440-5 4.032880+4 1.480000-5 4.295800+4 1.515000-5 4.546700+4 1.550000-5 4.782160+4 1.590000-5 5.032720+4 1.640590-5 5.322379+4 1.698244-5 5.617672+4 1.757924-5 5.887300+4 1.830000-5 6.168620+4 1.905461-5 6.416859+4 1.995262-5 6.658801+4 2.089296-5 6.859507+4 2.190000-5 7.024500+4 2.317395-5 7.171193+4 2.454709-5 7.265241+4 2.600160-5 7.307877+4 2.720000-5 7.304517+4 2.720000-5 1.450421+7 2.754229-5 1.365391+7 2.820000-5 1.218323+7 2.847000-5 1.165477+7 2.847000-5 1.871215+7 2.930000-5 1.635582+7 2.950000-5 1.585510+7 2.960000-5 1.561175+7 3.080000-5 1.305407+7 3.162278-5 1.163737+7 3.273407-5 1.001220+7 3.388442-5 8.624361+6 3.630781-5 6.401777+6 3.801894-5 5.250138+6 3.845918-5 4.994751+6 3.900000-5 4.701011+6 4.216965-5 3.351021+6 4.365158-5 2.886488+6 4.518559-5 2.491865+6 4.639000-5 2.228297+6 4.639000-5 2.357178+6 4.650000-5 2.335738+6 4.731513-5 2.188147+6 4.850000-5 1.997462+6 4.897788-5 1.927160+6 4.900000-5 1.923995+6 4.970000-5 1.829950+6 5.011872-5 1.776749+6 5.080000-5 1.696041+6 5.128614-5 1.641573+6 5.230000-5 1.539262+6 5.300000-5 1.473997+6 5.308844-5 1.466185+6 5.350000-5 1.430675+6 5.400000-5 1.390678+6 5.559043-5 1.274275+6 5.580000-5 1.260879+6 5.754399-5 1.157394+6 5.800000-5 1.133696+6 5.821032-5 1.123152+6 5.956621-5 1.059193+6 6.025596-5 1.030461+6 6.165950-5 9.767629+5 6.237348-5 9.526965+5 6.300000-5 9.330169+5 6.382635-5 9.078955+5 6.456542-5 8.876241+5 6.531306-5 8.685980+5 6.580000-5 8.564317+5 6.683439-5 8.331037+5 6.800000-5 8.091637+5 6.839116-5 8.019413+5 6.900000-5 7.906742+5 7.000000-5 7.734379+5 7.079458-5 7.612102+5 7.161434-5 7.494681+5 7.244360-5 7.376065+5 7.300000-5 7.304565+5 7.500000-5 7.069515+5 7.737400-5 6.832030+5 7.762471-5 6.809130+5 7.852356-5 6.735211+5 8.000000-5 6.611870+5 8.035261-5 6.584441+5 8.222426-5 6.454474+5 8.230000-5 6.449057+5 8.317638-5 6.389770+5 8.511380-5 6.272637+5 8.650000-5 6.195819+5 8.810489-5 6.111122+5 9.015711-5 6.011545+5 9.120108-5 5.966064+5 9.150000-5 5.952403+5 9.549926-5 5.784393+5 9.660509-5 5.744658+5 9.885531-5 5.661146+5 1.000000-4 5.619757+5 1.035142-4 5.501575+5 1.040000-4 5.486254+5 1.060000-4 5.421131+5 1.122018-4 5.236970+5 1.174898-4 5.086207+5 1.220000-4 4.967316+5 1.273503-4 4.829529+5 1.288250-4 4.791710+5 1.318257-4 4.716958+5 1.380384-4 4.565175+5 1.400000-4 4.518968+5 1.428894-4 4.449804+5 1.430100-4 4.446863+5 1.430100-4 6.935555+5 1.437000-4 6.927308+5 1.442000-4 6.931374+5 1.448000-4 6.949750+5 1.449300-4 6.957088+5 1.449300-4 8.643596+5 1.453000-4 8.666072+5 1.457000-4 8.701988+5 1.458700-4 8.719946+5 1.462177-4 8.765987+5 1.467000-4 8.849630+5 1.471500-4 8.951428+5 1.473000-4 8.990770+5 1.477000-4 9.106017+5 1.479108-4 9.175790+5 1.483000-4 9.317020+5 1.485000-4 9.398071+5 1.488000-4 9.529379+5 1.490000-4 9.625071+5 1.494000-4 9.831721+5 1.496236-4 9.957475+5 1.500000-4 1.018562+6 1.502000-4 1.031652+6 1.507000-4 1.066822+6 1.510000-4 1.089576+6 1.513561-4 1.118341+6 1.520000-4 1.174995+6 1.530000-4 1.274459+6 1.531087-4 1.286170+6 1.540100-4 1.387145+6 1.550000-4 1.507330+6 1.560000-4 1.636205+6 1.566751-4 1.725261+6 1.570000-4 1.770328+6 1.580000-4 1.907839+6 1.590000-4 2.047105+6 1.600000-4 2.186951+6 1.610000-4 2.326513+6 1.621810-4 2.489653+6 1.623000-4 2.506269+6 1.631000-4 2.615038+6 1.635000-4 2.669674+6 1.643000-4 2.777118+6 1.647000-4 2.830723+6 1.655000-4 2.935739+6 1.659587-4 2.995551+6 1.660000-4 3.000998+6 1.670000-4 3.128598+6 1.675000-4 3.191878+6 1.678804-4 3.238020+6 1.685000-4 3.314592+6 1.690000-4 3.375326+6 1.698244-4 3.471775+6 1.705000-4 3.549786+6 1.713000-4 3.638053+6 1.723300-4 3.749635+6 1.730000-4 3.818632+6 1.737801-4 3.896721+6 1.740000-4 3.918993+6 1.745000-4 3.966196+6 1.760000-4 4.104023+6 1.780000-4 4.269028+6 1.800000-4 4.413519+6 1.805000-4 4.447923+6 1.819701-4 4.541541+6 1.820000-4 4.543460+6 1.822500-4 4.558187+6 1.850000-4 4.709498+6 1.880000-4 4.846986+6 1.883649-4 4.862583+6 1.915000-4 4.981366+6 1.927525-4 5.025614+6 1.950000-4 5.095341+6 1.980000-4 5.181752+6 2.000000-4 5.231317+6 2.018366-4 5.271932+6 2.040000-4 5.319698+6 2.060000-4 5.356175+6 2.089296-4 5.401842+6 2.113489-4 5.431042+6 2.137962-4 5.454243+6 2.162719-4 5.469086+6 2.170000-4 5.473423+6 2.187762-4 5.479782+6 2.190000-4 5.480577+6 2.220000-4 5.481871+6 2.240000-4 5.478079+6 2.290868-4 5.454734+6 2.300000-4 5.448610+6 2.371374-4 5.383308+6 2.380000-4 5.374182+6 2.400000-4 5.348375+6 2.426610-4 5.314520+6 2.454709-4 5.279412+6 2.480000-4 5.244981+6 2.540973-4 5.151657+6 2.580000-4 5.088934+6 2.650000-4 4.966795+6 2.660725-4 4.947228+6 2.690000-4 4.894562+6 2.695300-4 4.884161+6 2.695300-4 5.338591+6 2.730000-4 5.272523+6 2.754229-4 5.227357+6 2.800000-4 5.139579+6 2.803200-4 5.133079+6 2.803200-4 5.331214+6 2.851018-4 5.236311+6 2.900000-4 5.137580+6 2.917427-4 5.103354+6 3.000000-4 4.938483+6 3.019952-4 4.898725+6 3.054921-4 4.829838+6 3.090295-4 4.758962+6 3.162278-4 4.620399+6 3.180000-4 4.586354+6 3.200000-4 4.548308+6 3.311311-4 4.338620+6 3.349654-4 4.268298+6 3.350000-4 4.267673+6 3.467369-4 4.054636+6 3.500000-4 3.998584+6 3.503200-4 3.993010+6 3.503200-4 4.169895+6 3.507519-4 4.162229+6 3.600000-4 3.998342+6 3.700000-4 3.832438+6 3.715352-4 3.808041+6 3.780000-4 3.702698+6 3.880000-4 3.547840+6 3.890451-4 3.532199+6 3.935501-4 3.465773+6 3.981072-4 3.399503+6 4.000000-4 3.371921+6 4.027170-4 3.332658+6 4.100000-4 3.231087+6 4.120975-4 3.202675+6 4.200000-4 3.099255+6 4.216965-4 3.077381+6 4.265795-4 3.014273+6 4.350000-4 2.909379+6 4.500000-4 2.736297+6 4.518559-4 2.716068+6 4.570882-4 2.658258+6 4.623810-4 2.601161+6 4.731513-4 2.490924+6 4.850000-4 2.377991+6 4.897788-4 2.334379+6 5.011872-4 2.231766+6 5.080000-4 2.173897+6 5.150000-4 2.116716+6 5.188000-4 2.086406+6 5.300000-4 2.000537+6 5.308844-4 1.993914+6 5.500000-4 1.856667+6 5.559043-4 1.817147+6 5.754399-4 1.694499+6 5.800000-4 1.667362+6 5.821032-4 1.654963+6 5.956621-4 1.578365+6 6.025596-4 1.541375+6 6.237348-4 1.434799+6 6.309573-4 1.401060+6 6.382635-4 1.367420+6 6.456542-4 1.334512+6 6.531306-4 1.302175+6 6.683439-4 1.239799+6 6.839116-4 1.180636+6 6.918310-4 1.152084+6 7.000000-4 1.123158+6 7.244360-4 1.042411+6 7.300000-4 1.025270+6 7.413102-4 9.917176+5 7.500000-4 9.669830+5 7.585776-4 9.434444+5 7.673615-4 9.200618+5 7.800000-4 8.873363+5 8.035261-4 8.309576+5 8.160720-4 8.029808+5 8.317638-4 7.699429+5 8.413951-4 7.503333+5 8.709636-4 6.941186+5 8.810489-4 6.763194+5 9.120108-4 6.257839+5 9.200000-4 6.136637+5 9.225714-4 6.098057+5 9.332543-4 5.940565+5 9.500000-4 5.703701+5 9.549926-4 5.635711+5 9.772372-4 5.346088+5 1.011579-3 4.940974+5 1.023293-3 4.812227+5 1.030000-3 4.740702+5 1.035142-3 4.686201+5 1.059254-3 4.441687+5 1.071519-3 4.324556+5 1.083927-3 4.210404+5 1.110000-3 3.984687+5 1.135011-3 3.783219+5 1.148154-3 3.682484+5 1.150000-3 3.668643+5 1.216186-3 3.216277+5 1.244515-3 3.046248+5 1.258925-3 2.964845+5 1.273503-3 2.885154+5 1.288250-3 2.807334+5 1.350000-3 2.511088+5 1.364583-3 2.447347+5 1.380384-3 2.380914+5 1.428894-3 2.192070+5 1.445440-3 2.131986+5 1.500000-3 1.950037+5 1.513561-3 1.908009+5 1.531087-3 1.855622+5 1.603245-3 1.659767+5 1.621810-3 1.613902+5 1.659587-3 1.526073+5 1.698244-3 1.442323+5 1.717908-3 1.402107+5 1.778279-3 1.288332+5 1.798871-3 1.252504+5 1.819701-3 1.217711+5 1.850000-3 1.169295+5 1.883649-3 1.118320+5 1.927525-3 1.056291+5 1.942400-3 1.036388+5 1.942400-3 4.096340+5 1.950000-3 4.057508+5 1.958000-3 4.017163+5 1.972423-3 3.939790+5 2.010000-3 3.747568+5 2.012100-3 3.738170+5 2.012100-3 5.205276+5 2.040000-3 5.025372+5 2.041738-3 5.014623+5 2.065380-3 4.871557+5 2.070000-3 4.844230+5 2.080000-3 4.785771+5 2.113489-3 4.611912+5 2.130000-3 4.529467+5 2.150000-3 4.428978+5 2.162719-3 4.364256+5 2.187762-3 4.240657+5 2.200100-3 4.181568+5 2.200100-3 4.782676+5 2.220000-3 4.681506+5 2.238721-3 4.589097+5 2.264644-3 4.463495+5 2.290868-3 4.338759+5 2.300000-3 4.296490+5 2.317395-3 4.217550+5 2.344229-3 4.099633+5 2.350000-3 4.074861+5 2.380000-3 3.948066+5 2.454709-3 3.655259+5 2.511886-3 3.451705+5 2.570396-3 3.259737+5 2.600160-3 3.167892+5 2.630268-3 3.078087+5 2.660725-3 2.990224+5 2.722701-3 2.822053+5 2.754229-3 2.741587+5 2.818383-3 2.587633+5 2.884032-3 2.442495+5 2.900000-3 2.408946+5 2.917427-3 2.373031+5 2.951209-3 2.305503+5 3.000000-3 2.212224+5 3.019952-3 2.175610+5 3.090295-3 2.051788+5 3.162278-3 1.935179+5 3.198895-3 1.879440+5 3.235937-3 1.825316+5 3.273407-3 1.772727+5 3.311311-3 1.721653+5 3.349654-3 1.671512+5 3.467369-3 1.528785+5 3.548134-3 1.440667+5 3.570000-3 1.418049+5 3.589219-3 1.398438+5 3.650000-3 1.338881+5 3.672823-3 1.317414+5 3.758374-3 1.241067+5 3.890451-3 1.134877+5 3.935501-3 1.101466+5 3.981072-3 1.068664+5 4.027170-3 1.036859+5 4.120975-3 9.757433+4 4.150000-3 9.578476+4 4.216965-3 9.182364+4 4.365158-3 8.383936+4 4.415704-3 8.133953+4 4.466836-3 7.890098+4 4.500000-3 7.737376+4 4.623810-3 7.201002+4 4.677351-3 6.983628+4 4.731513-3 6.772719+4 5.069907-3 5.637440+4 5.128614-3 5.466521+4 5.188000-3 5.300225+4 5.308844-3 4.980986+4 5.432503-3 4.681140+4 5.754399-3 4.010046+4 5.821032-3 3.888175+4 5.888437-3 3.770104+4 5.956621-3 3.654888+4 6.000000-3 3.583648+4 6.025596-3 3.542479+4 6.095369-3 3.433532+4 6.165950-3 3.327941+4 6.531306-3 2.846187+4 6.683439-3 2.674148+4 6.760830-3 2.591720+4 6.839116-3 2.511356+4 6.918310-3 2.433544+4 7.079458-3 2.284838+4 7.161434-3 2.214010+4 7.413102-3 2.014613+4 7.585776-3 1.892036+4 7.673615-3 1.833213+4 7.762471-3 1.776205+4 8.035261-3 1.614866+4 8.128305-3 1.564316+4 8.317638-3 1.468038+4 8.413951-3 1.422203+4 8.709636-3 1.293211+4 8.810489-3 1.252922+4 9.120108-3 1.138751+4 9.225714-3 1.102900+4 9.549926-3 1.002148+4 9.660509-3 9.706066+3 9.772372-3 9.400852+3 9.885531-3 9.105471+3 1.000000-2 8.819328+3 1.011579-2 8.540367+3 1.059254-2 7.512047+3 1.071519-2 7.275446+3 1.109175-2 6.607112+3 1.122018-2 6.398658+3 1.135011-2 6.196389+3 1.148154-2 5.999240+3 1.161449-2 5.808258+3 1.216186-2 5.103873+3 1.258925-2 4.633593+3 1.273503-2 4.486237+3 1.303167-2 4.205804+3 1.318257-2 4.072404+3 1.348963-2 3.815499+3 1.364583-2 3.693323+3 1.412538-2 3.349917+3 1.462177-2 3.039197+3 1.479108-2 2.942324+3 1.496236-2 2.848236+3 1.513561-2 2.757237+3 1.531087-2 2.669161+3 1.548817-2 2.583936+3 1.584893-2 2.420021+3 1.603245-2 2.341985+3 1.606700-2 2.327682+3 1.606700-2 1.608386+4 1.621810-2 1.575900+4 1.640590-2 1.532334+4 1.659587-2 1.483779+4 1.665000-2 1.470328+4 1.678804-2 1.440145+4 1.717908-2 1.359229+4 1.737801-2 1.318695+4 1.757924-2 1.279355+4 1.778279-2 1.241193+4 1.819701-2 1.168260+4 1.840772-2 1.133378+4 1.862087-2 1.100006+4 1.883649-2 1.067614+4 1.905461-2 1.036180+4 1.949845-2 9.760782+3 1.995262-2 9.194813+3 2.000000-2 9.138421+3 2.018366-2 8.917923+3 2.041738-2 8.647792+3 2.065380-2 8.385864+3 2.089296-2 8.131785+3 2.137962-2 7.646565+3 2.187762-2 7.189826+3 2.213095-2 6.971786+3 2.290868-2 6.356554+3 2.344229-2 5.976986+3 2.371374-2 5.794579+3 2.398833-2 5.617759+3 2.454709-2 5.280177+3 2.483133-2 5.119044+3 2.511886-2 4.962842+3 2.570396-2 4.659219+3 2.600160-2 4.514437+3 2.660725-2 4.238277+3 2.722701-2 3.979015+3 2.786121-2 3.735661+3 2.818383-2 3.619639+3 2.917427-2 3.292802+3 2.951209-2 3.190422+3 3.019952-2 2.995134+3 3.054921-2 2.902014+3 3.090295-2 2.811797+3 3.126079-2 2.724393+3 3.235937-2 2.473620+3 3.273407-2 2.395282+3 3.349654-2 2.245966+3 3.427678-2 2.105975+3 3.507519-2 1.974573+3 3.589219-2 1.851362+3 3.630781-2 1.792661+3 3.890451-2 1.477630+3 3.935501-2 1.430043+3 3.981072-2 1.383992+3 4.027170-2 1.339428+3 4.073803-2 1.296299+3 4.168694-2 1.214075+3 4.265795-2 1.137070+3 4.315191-2 1.100407+3 4.466836-2 9.973740+2 4.841724-2 7.929896+2 4.954502-2 7.419703+2 5.069907-2 6.942375+2 5.128614-2 6.715321+2 5.308844-2 6.077823+2 5.559043-2 5.321048+2 5.821032-2 4.658578+2 6.025596-2 4.216032+2 6.095369-2 4.076513+2 6.165950-2 3.941590+2 6.382635-2 3.563059+2 6.531306-2 3.331146+2 6.760830-2 3.011304+2 7.079458-2 2.632155+2 7.161434-2 2.544993+2 7.413102-2 2.300464+2 7.498942-2 2.224284+2 7.500000-2 2.223366+2 7.585776-2 2.149945+2 8.317638-2 1.638059+2 8.709636-2 1.429860+2 8.810489-2 1.382088+2 9.225714-2 1.206289+2 9.332543-2 1.165948+2 9.440609-2 1.126959+2 9.549926-2 1.089275+2 9.772372-2 1.017646+2 9.885531-2 9.834020+1 1.023293-1 8.874347+1 1.047129-1 8.287207+1 1.135011-1 6.521918+1 1.148154-1 6.302421+1 1.161449-1 6.090322+1 1.174898-1 5.885363+1 1.188502-1 5.687317+1 1.202264-1 5.495918+1 1.216186-1 5.310968+1 1.288250-1 4.475560+1 1.303167-1 4.324974+1 1.333521-1 4.038843+1 1.380384-1 3.644755+1 1.412538-1 3.403663+1 1.445440-1 3.178536+1 1.513561-1 2.772016+1 1.531088-1 2.678784+1 1.566751-1 2.501638+1 1.584893-1 2.417508+1 1.659587-1 2.108359+1 1.698244-1 1.968965+1 1.737801-1 1.838801+1 1.840772-1 1.549815+1 1.862087-1 1.497717+1 1.883649-1 1.447832+1 1.905461-1 1.399637+1 1.949845-1 1.308022+1 1.972423-1 1.264489+1 2.089296-1 1.067661+1 2.137962-1 9.977957+0 2.162719-1 9.645966+0 2.187762-1 9.325071+0 2.213095-1 9.014860+0 2.264644-1 8.425068+0 2.290868-1 8.144819+0 2.300000-1 8.050163+0 2.398833-1 7.125310+0 2.426610-1 6.891586+0 2.454709-1 6.665608+0 2.483133-1 6.447052+0 2.511886-1 6.235665+0 2.570396-1 5.833454+0 2.722701-1 4.937897+0 2.754229-1 4.778190+0 2.786121-1 4.623658+0 2.818383-1 4.474124+0 2.851018-1 4.329640+0 2.917427-1 4.054595+0 3.000000-1 3.748167+0 3.019952-1 3.678862+0 3.054921-1 3.561538+0 3.090295-1 3.447959+0 3.126079-1 3.338002+0 3.235937-1 3.028732+0 3.273407-1 2.932309+0 3.311311-1 2.838964+0 3.349654-1 2.748620+0 3.388442-1 2.661161+0 3.427678-1 2.578034+0 3.507519-1 2.419490+0 3.630781-1 2.199773+0 3.672823-1 2.131068+0 3.715352-1 2.064517+0 3.758374-1 2.000165+0 3.801894-1 1.937843+0 3.845918-1 1.877463+0 3.890451-1 1.820185+0 4.027170-1 1.658626+0 4.073803-1 1.608036+0 4.120975-1 1.558991+0 4.168694-1 1.511442+0 4.216965-1 1.465437+0 4.315191-1 1.377620+0 4.415705-1 1.296793+0 4.466836-1 1.258181+0 4.518559-1 1.220724+0 4.677351-1 1.114910+0 4.731513-1 1.081792+0 4.786301-1 1.049672+0 4.841724-1 1.019196+0 4.897788-1 9.896086-1 4.954502-1 9.608810-1 5.128614-1 8.796138-1 5.188000-1 8.540822-1 5.248075-1 8.293503-1 5.308844-1 8.053497-1 5.370318-1 7.826107-1 5.432503-1 7.605146-1 5.495409-1 7.390422-1 5.623413-1 6.979036-1 5.754399-1 6.590549-1 5.821032-1 6.405000-1 5.888437-1 6.224771-1 6.025596-1 5.888068-1 6.309573-1 5.268374-1 6.382635-1 5.123945-1 6.456542-1 4.983868-1 6.531306-1 4.851305-1 6.606935-1 4.722273-1 6.623700-1 4.694334-1 6.839117-1 4.355446-1 6.918310-1 4.239621-1 6.998420-1 4.127208-1 7.079458-1 4.017777-1 7.085700-1 4.009521-1 7.161434-1 3.914489-1 7.244360-1 3.814179-1 7.498942-1 3.528438-1 7.673615-1 3.349966-1 7.762471-1 3.264391-1 7.852356-1 3.183301-1 7.943282-1 3.104231-1 8.035261-1 3.027161-1 8.128305-1 2.952011-1 8.413951-1 2.737598-1 8.511380-1 2.669647-1 8.609938-1 2.603543-1 8.709636-1 2.540559-1 8.912509-1 2.419191-1 9.015711-1 2.360700-1 9.120108-1 2.303632-1 9.225714-1 2.247947-1 9.332543-1 2.193609-1 9.440609-1 2.140592-1 9.549926-1 2.089048-1 9.660509-1 2.040594-1 9.772372-1 1.993273-1 9.885531-1 1.947052-1 1.011579+0 1.857818-1 1.023293+0 1.814745-1 1.035142+0 1.772788-1 1.047129+0 1.732775-1 1.059254+0 1.693674-1 1.071519+0 1.655472-1 1.109175+0 1.545954-1 1.122018+0 1.511085-1 1.135011+0 1.477004-1 1.161449+0 1.411145-1 1.174898+0 1.380436-1 1.188600+0 1.350186-1 1.202264+0 1.321036-1 1.230269+0 1.264210-1 1.258925+0 1.209839-1 1.273503+0 1.183537-1 1.288250+0 1.157805-1 1.303167+0 1.133504-1 1.318257+0 1.109715-1 1.364583+0 1.041337-1 1.380384+0 1.019497-1 1.396368+0 9.981145-2 1.412538+0 9.771801-2 1.428894+0 9.566864-2 1.445440+0 9.373030-2 1.462177+0 9.183146-2 1.479108+0 8.997210-2 1.531087+0 8.461689-2 1.548817+0 8.290353-2 1.603245+0 7.796964-2 1.621810+0 7.644475-2 1.640590+0 7.494971-2 1.717908+0 6.925946-2 1.737801+0 6.790571-2 1.757924+0 6.657855-2 1.798871+0 6.400193-2 1.840772+0 6.160879-2 1.862087+0 6.044664-2 1.949845+0 5.601314-2 1.972423+0 5.495657-2 2.000000+0 5.370897-2 2.018366+0 5.290319-2 2.044000+0 5.181055-2 2.065380+0 5.095935-2 2.089296+0 5.003389-2 2.187762+0 4.649903-2 2.213095+0 4.565508-2 2.238721+0 4.482654-2 2.264644+0 4.401314-2 2.290868+0 4.321448-2 2.317395+0 4.243296-2 2.344229+0 4.169135-2 2.371374+0 4.096311-2 2.483133+0 3.817516-2 2.511886+0 3.750836-2 2.540973+0 3.685325-2 2.570396+0 3.620969-2 2.600160+0 3.557737-2 2.630268+0 3.495819-2 2.660725+0 3.436925-2 2.691535+0 3.379055-2 2.818383+0 3.157157-2 2.851018+0 3.103999-2 2.884032+0 3.051735-2 2.917427+0 3.000358-2 2.951209+0 2.949851-2 2.985383+0 2.900193-2 3.019952+0 2.851521-2 3.054921+0 2.805065-2 3.126079+0 2.714456-2 3.273407+0 2.541925-2 3.311311+0 2.500534-2 3.349654+0 2.459818-2 3.388442+0 2.419767-2 3.427678+0 2.380375-2 3.467369+0 2.341623-2 3.507519+0 2.303626-2 3.548134+0 2.267406-2 3.630781+0 2.196702-2 3.801894+0 2.061842-2 3.845918+0 2.029442-2 3.890451+0 1.997551-2 3.935501+0 1.966163-2 4.000000+0 1.922688-2 4.027170+0 1.904869-2 4.073803+0 1.875035-2 4.120975+0 1.846552-2 4.216965+0 1.790904-2 4.466836+0 1.659013-2 4.518559+0 1.633825-2 4.570882+0 1.609018-2 4.623810+0 1.584591-2 4.677351+0 1.560538-2 4.731513+0 1.536850-2 4.786301+0 1.513593-2 4.841724+0 1.491371-2 4.954502+0 1.447923-2 5.248075+0 1.344760-2 5.370318+0 1.305584-2 5.432503+0 1.286426-2 5.495409+0 1.267551-2 5.559043+0 1.248955-2 5.623413+0 1.230632-2 5.688529+0 1.212629-2 5.754399+0 1.195374-2 5.956621+0 1.145092-2 6.382635+0 1.050784-2 6.531306+0 1.021107-2 6.606934+0 1.006584-2 6.683439+0 9.922693-3 6.760830+0 9.781596-3 6.839116+0 9.642507-3 6.918310+0 9.505800-3 7.000000+0 9.372314-3 7.244360+0 8.992963-3 7.673615+0 8.390725-3 7.943282+0 8.048923-3 8.035261+0 7.938112-3 8.128305+0 7.828835-3 8.222427+0 7.721073-3 8.413951+0 7.509983-3 8.511380+0 7.406889-3 8.609938+0 7.307832-3 9.000000+0 6.938979-3 9.549926+0 6.474215-3 9.885531+0 6.218041-3 1.011579+1 6.052918-3 1.023293+1 5.972010-3 1.035142+1 5.892196-3 1.059254+1 5.735750-3 1.071519+1 5.659300-3 1.083927+1 5.585794-3 1.135011+1 5.301326-3 1.202264+1 4.966031-3 1.244515+1 4.775117-3 1.300000+1 4.544472-3 1.318257+1 4.473110-3 1.333521+1 4.415052-3 1.380384+1 4.245352-3 1.400000+1 4.178083-3 1.412538+1 4.137136-3 1.462177+1 3.982335-3 1.531087+1 3.784905-3 1.603245+1 3.597263-3 1.717908+1 3.333099-3 1.757924+1 3.249432-3 1.778279+1 3.208395-3 1.862087+1 3.049360-3 1.883649+1 3.010936-3 1.905461+1 2.973820-3 1.949845+1 2.900984-3 2.041738+1 2.760621-3 2.113489+1 2.659825-3 2.290868+1 2.438715-3 2.371374+1 2.349676-3 2.454709+1 2.263895-3 2.660725+1 2.075719-3 2.691535+1 2.050194-3 2.754229+1 2.000994-3 2.818383+1 1.952989-3 2.884032+1 1.906136-3 2.951209+1 1.860407-3 3.162278+1 1.729699-3 3.273407+1 1.667834-3 3.427678+1 1.588781-3 3.715352+1 1.459347-3 3.758374+1 1.441739-3 3.845918+1 1.407682-3 3.935501+1 1.374436-3 4.120975+1 1.310283-3 4.466836+1 1.205136-3 5.248075+1 1.019479-3 5.370318+1 9.954036-4 5.623413+1 9.489472-4 5.888437+1 9.046587-4 6.000000+1 8.872076-4 6.025596+1 8.833521-4 6.095369+1 8.730087-4 6.165950+1 8.627887-4 6.456542+1 8.230913-4 7.328245+1 7.230913-4 9.225714+1 5.713624-4 9.440609+1 5.580637-4 1.000000+2 5.261570-4 1.011579+2 5.199982-4 1.083927+2 4.845287-4 1.096478+2 4.788573-4 1.122018+2 4.678281-4 1.135011+2 4.624096-4 1.202264+2 4.362460-4 1.396368+2 3.749410-4 1.840772+2 2.834942-4 1.883649+2 2.769658-4 1.995262+2 2.612954-4 2.018366+2 2.582693-4 2.162719+2 2.408348-4 2.187762+2 2.380458-4 2.238721+2 2.326022-4 2.264644+2 2.299275-4 2.398833+2 2.170083-4 2.786121+2 1.867148-4 3.672823+2 1.414586-4 3.758374+2 1.382241-4 3.981072+2 1.304578-4 4.027170+2 1.289577-4 8.609938+2 6.010996-5 8.709636+2 5.941879-5 8.912509+2 5.806560-5 9.015711+2 5.740064-5 9.549926+2 5.418835-5 1.109175+3 4.665282-5 1.462177+3 3.538559-5 1.496236+3 3.457977-5 1.584893+3 3.264464-5 1.603245+3 3.227081-5 1.000000+5 5.164956-7 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.100000-6 5.100000-6 2.720000-5 5.100000-6 2.720000-5 1.017133-5 2.847000-5 1.016519-5 2.847000-5 1.017605-5 4.216965-5 1.010198-5 4.639000-5 1.006463-5 4.639000-5 1.034831-5 5.300000-5 1.060557-5 6.580000-5 1.120081-5 7.244360-5 1.144262-5 7.852356-5 1.159340-5 8.650000-5 1.170255-5 9.660509-5 1.175004-5 1.220000-4 1.172230-5 1.430100-4 1.166292-5 1.430100-4 1.644940-5 1.442000-4 1.649721-5 1.449300-4 1.656062-5 1.449300-4 1.819245-5 1.462177-4 1.833161-5 1.477000-4 1.862819-5 1.490000-4 1.901008-5 1.510000-4 1.975842-5 1.540100-4 2.093983-5 1.560000-4 2.158893-5 1.580000-4 2.210059-5 1.600000-4 2.249267-5 1.631000-4 2.293067-5 1.670000-4 2.329832-5 1.723300-4 2.361289-5 1.805000-4 2.387187-5 1.950000-4 2.407777-5 2.240000-4 2.424880-5 2.695300-4 2.431289-5 2.695300-4 2.527708-5 2.803200-4 2.532432-5 2.803200-4 2.579998-5 3.503200-4 2.624960-5 3.503200-4 2.709827-5 4.731513-4 2.802265-5 6.309573-4 2.897082-5 8.317638-4 2.991051-5 1.083927-3 3.081940-5 1.380384-3 3.164132-5 1.778279-3 3.247190-5 1.942400-3 3.275664-5 1.942400-3 5.097242-5 2.012100-3 5.097483-5 2.012100-3 5.331648-5 2.200100-3 5.338236-5 2.200100-3 5.655949-5 3.198895-3 5.778715-5 4.731513-3 5.924414-5 6.839116-3 6.073350-5 9.772372-3 6.226303-5 1.348963-2 6.366064-5 1.606700-2 6.440266-5 1.606700-2 7.272909-5 3.019952-2 7.320797-5 7.161434-2 7.355510-5 3.019952-1 7.377059-5 1.000000+5 7.381986-5 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.100000-6 0.0 2.720000-5 0.0 2.720000-5 1.193459-8 2.847000-5 1.192013-8 2.847000-5 1.817067-8 3.630781-5 1.804364-8 4.365158-5 1.786532-8 5.230000-5 1.749625-8 6.237348-5 1.704857-8 7.079458-5 1.679799-8 8.035261-5 1.666030-8 9.150000-5 1.661508-8 1.288250-4 1.671891-8 1.430100-4 1.676730-8 1.430100-4 2.301623-8 1.448000-4 2.315064-8 1.449300-4 2.317027-8 1.449300-4 3.174149-8 1.462177-4 3.188434-8 1.473000-4 3.215817-8 1.485000-4 3.265178-8 1.496236-4 3.329826-8 1.513561-4 3.456446-8 1.550000-4 3.753820-8 1.570000-4 3.894684-8 1.590000-4 4.009487-8 1.610000-4 4.100405-8 1.635000-4 4.187376-8 1.670000-4 4.277441-8 1.713000-4 4.353789-8 1.760000-4 4.410293-8 1.822500-4 4.459223-8 1.927525-4 4.503628-8 2.113489-4 4.546441-8 2.426610-4 4.577472-8 2.695300-4 4.587182-8 2.695300-4 4.825898-8 2.803200-4 4.839148-8 2.803200-4 5.025989-8 3.503200-4 5.167508-8 3.503200-4 5.385269-8 4.265795-4 5.564553-8 5.308844-4 5.776874-8 6.531306-4 5.985886-8 8.160720-4 6.211856-8 1.023293-3 6.442134-8 1.258925-3 6.651519-8 1.531087-3 6.842157-8 1.883649-3 7.034799-8 1.942400-3 7.062409-8 1.942400-3 3.361255-5 2.012100-3 3.356588-5 2.012100-3 3.837286-5 2.113489-3 3.837175-5 2.200100-3 3.840092-5 2.200100-3 3.938717-5 3.758374-3 3.951931-5 1.606700-2 3.919911-5 1.606700-2 8.536391-3 1.949845-2 8.608406-3 2.722701-2 8.689290-3 4.073803-2 8.751053-3 7.500000-2 8.799309-3 2.187762-1 8.820136-3 2.600160+0 8.833061-3 1.000000+5 8.832802-3 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.100000-6 0.0 2.720000-5 2.210000-5 2.720000-5 1.701674-5 4.365158-5 3.354409-5 4.639000-5 3.630762-5 4.639000-5 3.602393-5 7.300000-5 6.152443-5 9.150000-5 7.974873-5 1.430100-4 1.313303-4 1.430100-4 1.265376-4 1.449300-4 1.283462-4 1.449300-4 1.267058-4 1.488000-4 1.298231-4 1.566751-4 1.348617-4 1.635000-4 1.404817-4 1.780000-4 1.541441-4 2.540973-4 2.297483-4 2.695300-4 2.451712-4 2.695300-4 2.442047-4 2.803200-4 2.549473-4 2.803200-4 2.544697-4 3.503200-4 3.240187-4 3.503200-4 3.231679-4 1.288250-3 1.256778-3 1.942400-3 1.909573-3 1.942400-3 1.857815-3 2.012100-3 1.927559-3 2.012100-3 1.920411-3 2.200100-3 2.108317-3 2.200100-3 2.104153-3 1.606700-2 1.596340-2 1.606700-2 7.457880-3 1.778279-2 9.132775-3 2.511886-2 1.637193-2 5.821032-2 4.935310-2 1.000000+5 9.999999+4 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.606700-2 1.375618+4 1.621810-2 1.349248+4 1.640590-2 1.312979+4 1.665000-2 1.259982+4 1.717908-2 1.166736+4 1.840772-2 9.751722+3 2.000000-2 7.890400+3 2.344229-2 5.185161+3 2.511886-2 4.313273+3 3.126079-2 2.379400+3 3.890451-2 1.295140+3 4.841724-2 6.968610+2 6.025596-2 3.712255+2 7.500000-2 1.960444+2 9.772372-2 8.983590+1 1.862087-1 1.323599+1 2.300000-1 7.114920+0 2.722701-1 4.364590+0 2.917427-1 3.584132+0 3.388442-1 2.352581+0 3.845918-1 1.659874+0 4.315191-1 1.218059+0 4.786301-1 9.282077-1 5.308844-1 7.122191-1 5.888437-1 5.505359-1 6.456542-1 4.408362-1 7.085700-1 3.546496-1 7.762471-1 2.888033-1 8.609938-1 2.303968-1 9.549926-1 1.848914-1 1.035142+0 1.569105-1 1.161449+0 1.249068-1 1.288250+0 1.024813-1 1.428894+0 8.467781-2 1.603245+0 6.901099-2 1.798871+0 5.664819-2 2.044000+0 4.585798-2 2.317395+0 3.755708-2 2.630268+0 3.094126-2 3.019952+0 2.523864-2 3.507519+0 2.038923-2 4.073803+0 1.659579-2 4.786301+0 1.339666-2 5.688529+0 1.073291-2 6.918310+0 8.413538-3 8.511380+0 6.555815-3 1.071519+1 5.009035-3 1.400000+1 3.698000-3 1.883649+1 2.664978-3 2.691535+1 1.814633-3 3.758374+1 1.276101-3 6.000000+1 7.852800-4 1.096478+2 4.238424-4 2.187762+2 2.106981-4 8.709636+2 5.259245-5 1.000000+5 4.571600-7 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.606700-2 7.413800-5 1.000000+5 7.413800-5 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.606700-2 9.974200-3 1.000000+5 9.974200-3 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.606700-2 6.018662-3 1.000000+5 9.999999+4 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.200100-3 6.011083+4 2.380000-3 5.325174+4 2.630268-3 4.546808+4 3.019952-3 3.588841+4 3.570000-3 2.686580+4 3.890451-3 2.295112+4 4.623810-3 1.658416+4 5.128614-3 1.353659+4 5.888437-3 1.026282+4 6.683439-3 7.895039+3 7.585776-3 6.038184+3 8.810489-3 4.358533+3 1.000000-2 3.284840+3 1.135011-2 2.461446+3 1.318257-2 1.736466+3 1.548817-2 1.181869+3 1.819701-2 7.972536+2 2.137962-2 5.331907+2 2.511886-2 3.536652+2 2.917427-2 2.398614+2 3.427678-2 1.567572+2 4.073803-2 9.858127+1 4.841724-2 6.151212+1 5.821032-2 3.689968+1 7.079458-2 2.126645+1 8.810489-2 1.138984+1 1.135011-1 5.478594+0 1.883649-1 1.254146+0 2.398833-1 6.235687-1 2.818383-1 3.939923-1 3.235937-1 2.675793-1 3.715352-1 1.830802-1 4.168694-1 1.343520-1 4.677351-1 9.930143-2 5.188000-1 7.617149-2 5.754399-1 5.885015-2 6.382635-1 4.581355-2 6.918310-1 3.793686-2 7.673615-1 2.999725-2 8.511380-1 2.389935-2 9.440609-1 1.915878-2 1.023293+0 1.624557-2 1.161449+0 1.263709-2 1.288250+0 1.036798-2 1.428894+0 8.566583-3 1.603245+0 6.981637-3 1.798871+0 5.731022-3 2.044000+0 4.639186-3 2.290868+0 3.868197-3 2.600160+0 3.184672-3 2.985383+0 2.596236-3 3.467369+0 2.096173-3 4.027170+0 1.705271-3 4.731513+0 1.375879-3 5.623413+0 1.101741-3 6.839116+0 8.632476-4 8.413951+0 6.723476-4 1.059254+1 5.135066-4 1.380384+1 3.800715-4 1.862087+1 2.730133-4 2.660725+1 1.858362-4 3.758374+1 1.290959-4 6.000000+1 7.944300-5 1.096478+2 4.287882-5 2.187762+2 2.131558-5 8.709636+2 5.320585-6 1.000000+5 4.624900-8 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.200100-3 7.866100-5 1.000000+5 7.866100-5 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.200100-3 4.624800-5 1.000000+5 4.624800-5 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.200100-3 2.075191-3 1.000000+5 1.000000+5 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.012100-3 1.467106+5 2.040000-3 1.408928+5 2.080000-3 1.334400+5 2.130000-3 1.270200+5 2.238721-3 1.128700+5 2.350000-3 9.985000+4 2.951209-3 5.469100+4 3.349654-3 3.885400+4 4.027170-3 2.324100+4 4.500000-3 1.690300+4 5.188000-3 1.117800+4 6.165950-3 6.686700+3 6.918310-3 4.718800+3 8.035261-3 2.979900+3 9.549926-3 1.736300+3 1.122018-2 1.039700+3 1.318257-2 6.177100+2 1.548817-2 3.643100+2 1.840772-2 2.053500+2 2.213095-2 1.105200+2 2.660725-2 5.903400+1 3.273407-2 2.892900+1 4.168694-2 1.248239+1 5.308844-2 5.349198+0 9.332543-2 7.330260-1 1.202264-1 3.021070-1 1.445440-1 1.596311-1 1.698244-1 9.197405-2 1.972423-1 5.550321-2 2.264644-1 3.507356-2 2.570396-1 2.319011-2 2.917427-1 1.544843-2 3.273407-1 1.075659-2 3.630781-1 7.816612-3 4.027170-1 5.718833-3 4.466836-1 4.213521-3 4.954502-1 3.127504-3 5.495409-1 2.339128-3 6.025596-1 1.819492-3 6.623700-1 1.415781-3 7.244360-1 1.126278-3 8.035261-1 8.711946-4 9.332543-1 6.073414-4 9.885531-1 5.318968-4 1.047129+0 4.693780-4 1.122018+0 4.069463-4 1.188600+0 3.634162-4 1.288250+0 3.129188-4 1.428894+0 2.602221-4 1.737801+0 1.853211-4 1.972423+0 1.498368-4 2.213095+0 1.244288-4 2.511886+0 1.022318-4 2.884032+0 8.319036-5 3.349654+0 6.705591-5 3.890451+0 5.445889-5 4.570882+0 4.386720-5 5.432503+0 3.507420-5 6.606934+0 2.744425-5 8.035261+0 2.164091-5 1.011579+1 1.650193-5 1.300000+1 1.238900-5 1.717908+1 9.086045-6 2.290868+1 6.648036-6 3.162278+1 4.714616-6 5.248075+1 2.779148-6 9.225714+1 1.557635-6 1.840772+2 7.730872-7 3.672823+2 3.855276-7 1.462177+3 9.647951-8 1.000000+5 1.409200-9 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.012100-3 5.928300-5 1.000000+5 5.928300-5 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.012100-3 5.062100-5 1.000000+5 5.062100-5 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.012100-3 1.902196-3 1.000000+5 1.000000+5 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.942400-3 3.059952+5 1.958000-3 3.001102+5 2.010000-3 2.795447+5 2.150000-3 2.381548+5 2.264644-3 2.085229+5 2.600160-3 1.441570+5 3.019952-3 9.624489+4 3.311311-3 7.464078+4 3.935501-3 4.578834+4 4.415704-3 3.276191+4 5.069907-3 2.181017+4 5.956621-3 1.341995+4 6.760830-3 9.103794+3 7.762471-3 5.923666+3 9.120108-3 3.557213+3 1.071519-2 2.117351+3 1.258925-2 1.249768+3 1.479108-2 7.318492+2 1.737801-2 4.253645+2 2.065380-2 2.359846+2 2.454709-2 1.299240+2 2.917427-2 7.103907+1 3.507519-2 3.704652+1 4.265795-2 1.841927+1 5.559043-2 7.091269+0 1.135011-1 5.325725-1 1.380384-1 2.637604-1 1.659587-1 1.371795-1 1.905461-1 8.459112-2 2.162719-1 5.468171-2 2.426610-1 3.701879-2 2.722701-1 2.524552-2 3.019952-1 1.801600-2 3.349654-1 1.295374-2 3.672823-1 9.727684-3 4.027170-1 7.355821-3 4.415705-1 5.604431-3 4.841724-1 4.302543-3 5.248075-1 3.436694-3 5.754399-1 2.678628-3 6.309573-1 2.104355-3 6.918310-1 1.665952-3 7.498942-1 1.366770-3 8.128305-1 1.128266-3 9.015711-1 8.886241-4 9.660509-1 7.632162-4 1.035142+0 6.605009-4 1.135011+0 5.485535-4 1.230269+0 4.695243-4 1.364583+0 3.875952-4 1.548817+0 3.092960-4 1.757924+0 2.484876-4 2.000000+0 2.003801-4 2.238721+0 1.671746-4 2.540973+0 1.374504-4 2.917427+0 1.119225-4 3.388442+0 9.026472-5 3.935501+0 7.334791-5 4.623810+0 5.911357-5 5.495409+0 4.728934-5 6.683439+0 3.701933-5 8.128305+0 2.920450-5 1.023293+1 2.227881-5 1.318257+1 1.668563-5 1.757924+1 1.212025-5 2.371374+1 8.764719-6 3.273407+1 6.219946-6 5.370318+1 3.712929-6 9.440609+1 2.081669-6 1.883649+2 1.033420-6 3.758374+2 5.154021-7 1.496236+3 1.289941-7 1.000000+5 1.928000-9 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.942400-3 5.714200-5 1.000000+5 5.714200-5 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.942400-3 4.497300-5 1.000000+5 4.497300-5 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.942400-3 1.840285-3 1.000000+5 1.000000+5 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 3.503200-4 1.768858+5 3.880000-4 1.637184+5 4.731513-4 1.339553+5 5.080000-4 1.239332+5 6.025596-4 1.006154+5 6.531306-4 9.059111+4 7.500000-4 7.477460+4 8.317638-4 6.443361+4 9.500000-4 5.270160+4 1.071519-3 4.368311+4 1.258925-3 3.363253+4 1.428894-3 2.719824+4 1.659587-3 2.101244+4 1.950000-3 1.577798+4 2.300000-3 1.166570+4 2.722701-3 8.495076+3 3.198895-3 6.223791+3 3.758374-3 4.524491+3 4.415704-3 3.263093+3 5.188000-3 2.335200+3 6.095369-3 1.658440+3 7.161434-3 1.169039+3 8.413951-3 8.177991+2 9.885531-3 5.677457+2 1.161449-2 3.910441+2 1.364583-2 2.672164+2 1.584893-2 1.862989+2 1.862087-2 1.253643+2 2.187762-2 8.370582+1 2.570396-2 5.546618+1 3.019952-2 3.648301+1 3.589219-2 2.310385+1 4.265795-2 1.451663+1 5.069907-2 9.053385+0 6.095369-2 5.429430+0 7.413102-2 3.128830+0 9.225714-2 1.676061+0 1.188502-1 8.068434-1 1.972423-1 1.853832-1 2.426610-1 1.020346-1 2.851018-1 6.455212-2 3.311311-1 4.249834-2 3.758374-1 3.004515-2 4.216965-1 2.206949-2 4.731513-1 1.633033-2 5.248075-1 1.254030-2 5.821032-1 9.699030-3 6.456542-1 7.559540-3 7.161434-1 5.938881-3 7.943282-1 4.703194-3 8.709636-1 3.846184-3 9.549926-1 3.168330-3 1.059254+0 2.570403-3 1.188600+0 2.049431-3 1.318257+0 1.684267-3 1.462177+0 1.393216-3 1.640590+0 1.136972-3 1.840772+0 9.346029-4 2.089296+0 7.590019-4 2.344229+0 6.325888-4 2.660725+0 5.214986-4 3.054921+0 4.256336-4 3.548134+0 3.440610-4 4.120975+0 2.802030-4 4.841724+0 2.263096-4 5.754399+0 1.813996-4 7.000000+0 1.422200-4 8.609938+0 1.109004-4 1.083927+1 8.476752-5 1.412538+1 6.278741-5 1.905461+1 4.513166-5 2.754229+1 3.036726-5 3.845918+1 2.136331-5 6.095369+1 1.324911-5 1.122018+2 7.100240-6 2.238721+2 3.530258-6 8.912509+2 8.813244-7 1.000000+5 7.839700-9 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 3.503200-4 4.625600-5 1.000000+5 4.625600-5 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.503200-4 1.030100-7 1.000000+5 1.030100-7 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.503200-4 3.039610-4 1.000000+5 1.000000+5 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 2.803200-4 1.981341+5 3.090295-4 1.996936+5 3.467369-4 1.995828+5 3.715352-4 1.978362+5 3.890451-4 1.955413+5 4.100000-4 1.913638+5 4.350000-4 1.852542+5 4.570882-4 1.792936+5 4.897788-4 1.699430+5 5.188000-4 1.613794+5 5.500000-4 1.520724+5 5.956621-4 1.391455+5 6.382635-4 1.280096+5 6.839116-4 1.169282+5 7.413102-4 1.044389+5 8.035261-4 9.270692+4 8.709636-4 8.170357+4 9.549926-4 7.020192+4 1.035142-3 6.112803+4 1.135011-3 5.179854+4 1.258925-3 4.267638+4 1.380384-3 3.566126+4 1.531087-3 2.893686+4 1.698244-3 2.329355+4 1.883649-3 1.862211+4 2.113489-3 1.440168+4 2.344229-3 1.134667+4 2.600160-3 8.883440+3 2.917427-3 6.718409+3 3.273407-3 5.042551+3 3.672823-3 3.757612+3 4.120975-3 2.780699+3 4.623810-3 2.044003+3 5.188000-3 1.492766+3 5.888437-3 1.048929+3 6.683439-3 7.318009+2 7.585776-3 5.070072+2 8.709636-3 3.371471+2 1.000000-2 2.224240+2 1.148154-2 1.456346+2 1.318257-2 9.466183+1 1.531087-2 5.889962+1 1.778279-2 3.636982+1 2.089296-2 2.147235+1 2.483133-2 1.210948+1 2.951209-2 6.777803+0 3.589219-2 3.483047+0 4.466836-2 1.641321+0 5.821032-2 6.543405-1 1.047129-1 8.428446-2 1.303167-1 3.953262-2 1.584893-1 2.022793-2 1.862087-1 1.173254-2 2.162719-1 7.129158-3 2.454709-1 4.708701-3 2.786121-1 3.132283-3 3.126079-1 2.177237-3 3.507519-1 1.524380-3 3.890451-1 1.113579-3 4.315191-1 8.192938-4 4.786301-1 6.072289-4 5.308844-1 4.534967-4 5.888437-1 3.413558-4 6.531306-1 2.589974-4 7.161434-1 2.040480-4 7.852356-1 1.618585-4 8.609938-1 1.288595-4 9.225714-1 1.093177-4 9.772372-1 9.591551-5 1.035142+0 8.471330-5 1.109175+0 7.345026-5 1.188600+0 6.412195-5 1.318257+0 5.294874-5 1.479108+0 4.312759-5 1.717908+0 3.323698-5 1.949845+0 2.686189-5 2.187762+0 2.229444-5 2.483133+0 1.830475-5 2.818383+0 1.513859-5 3.273407+0 1.218820-5 3.801894+0 9.887182-6 4.466836+0 7.955365-6 5.248075+0 6.448435-6 6.382635+0 5.038773-6 7.673615+0 4.023296-6 9.549926+0 3.104308-6 1.202264+1 2.381193-6 1.531087+1 1.815117-6 2.041738+1 1.323957-6 2.884032+1 9.143897-7 4.120975+1 6.285538-7 6.456542+1 3.948700-7 1.202264+2 2.093017-7 2.398833+2 1.041243-7 9.549926+2 2.600512-8 1.000000+5 2.47900-10 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 2.803200-4 3.812300-5 1.000000+5 3.812300-5 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.803200-4 9.866500-8 1.000000+5 9.866500-8 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.803200-4 2.420983-4 1.000000+5 1.000000+5 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.695300-4 4.544300+5 2.851018-4 4.588110+5 3.019952-4 4.602369+5 3.180000-4 4.586266+5 3.350000-4 4.553760+5 3.600000-4 4.459800+5 3.780000-4 4.373520+5 4.000000-4 4.238320+5 4.265795-4 4.058677+5 4.570882-4 3.838014+5 4.850000-4 3.636944+5 5.150000-4 3.419208+5 5.559043-4 3.133780+5 6.025596-4 2.837595+5 6.456542-4 2.588633+5 7.000000-4 2.306480+5 7.673615-4 2.007633+5 8.317638-4 1.765519+5 9.200000-4 1.490188+5 1.011579-3 1.260915+5 1.110000-3 1.063004+5 1.216186-3 8.929229+4 1.350000-3 7.260400+4 1.500000-3 5.845920+4 1.659587-3 4.714398+4 1.850000-3 3.713120+4 2.065380-3 2.892886+4 2.317395-3 2.210600+4 2.600160-3 1.675795+4 2.900000-3 1.279688+4 3.235937-3 9.696008+3 3.650000-3 7.094320+3 4.150000-3 5.041120+3 4.677351-3 3.638859+3 5.308844-3 2.557541+3 6.000000-3 1.805860+3 6.760830-3 1.277753+3 7.673615-3 8.792307+2 8.810489-3 5.801145+2 1.000000-2 3.935552+2 1.148154-2 2.557775+2 1.318257-2 1.649748+2 1.513561-2 1.056393+2 1.757924-2 6.467206+1 2.041738-2 3.929511+1 2.398833-2 2.279925+1 2.818383-2 1.313021+1 3.349654-2 7.215167+0 4.027170-2 3.780898+0 4.954502-2 1.812943+0 6.382635-2 7.319420-1 1.148154-1 8.833362-2 1.412538-1 4.212505-2 1.659587-1 2.383796-2 1.905461-1 1.472851-2 2.187762-1 9.168076-3 2.454709-1 6.218454-3 2.754229-1 4.248867-3 3.054921-1 3.037335-3 3.388442-1 2.187675-3 3.715352-1 1.645271-3 4.073803-1 1.245875-3 4.466836-1 9.504222-4 4.897788-1 7.304604-4 5.370318-1 5.657432-4 5.821032-1 4.553718-4 6.309573-1 3.690124-4 6.839117-1 3.010361-4 7.498942-1 2.403712-4 8.511380-1 1.782913-4 9.120108-1 1.524088-4 9.772372-1 1.311362-4 1.059254+0 1.109817-4 1.161449+0 9.235016-5 1.258925+0 7.919883-5 1.396368+0 6.548250-5 1.621810+0 5.025694-5 1.840772+0 4.048528-5 2.065380+0 3.349156-5 2.317395+0 2.789589-5 2.630268+0 2.298156-5 3.019952+0 1.874553-5 3.507519+0 1.514419-5 4.073803+0 1.232685-5 4.786301+0 9.950521-6 5.688529+0 7.972005-6 6.918310+0 6.249089-6 8.511380+0 4.869320-6 1.071519+1 3.720447-6 1.400000+1 2.746700-6 1.883649+1 1.979447-6 2.691535+1 1.347800-6 3.758374+1 9.478060-7 6.025596+1 5.807084-7 1.096478+2 3.148137-7 2.187762+2 1.564926-7 8.709636+2 3.906301-8 1.000000+5 3.39560-10 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.695300-4 3.564000-5 1.000000+5 3.564000-5 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.695300-4 7.391600-8 1.000000+5 7.391600-8 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.695300-4 2.338161-4 1.000000+5 1.000000+5 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.449300-4 1.686508+5 1.457000-4 1.689376+5 1.462177-4 1.698894+5 1.467000-4 1.714124+5 1.473000-4 1.744272+5 1.479108-4 1.788027+5 1.485000-4 1.845164+5 1.490000-4 1.906612+5 1.496236-4 2.000886+5 1.502000-4 2.106740+5 1.507000-4 2.213916+5 1.513561-4 2.377211+5 1.520000-4 2.562924+5 1.530000-4 2.900744+5 1.550000-4 3.739828+5 1.560000-4 4.225160+5 1.570000-4 4.741360+5 1.580000-4 5.279880+5 1.590000-4 5.831840+5 1.600000-4 6.391080+5 1.610000-4 6.952800+5 1.621810-4 7.614553+5 1.631000-4 8.125720+5 1.643000-4 8.786320+5 1.655000-4 9.436160+5 1.670000-4 1.023040+6 1.685000-4 1.100044+6 1.698244-4 1.165598+6 1.713000-4 1.235628+6 1.730000-4 1.311864+6 1.745000-4 1.374928+6 1.760000-4 1.433460+6 1.780000-4 1.505020+6 1.800000-4 1.568660+6 1.822500-4 1.631716+6 1.850000-4 1.697988+6 1.880000-4 1.759088+6 1.915000-4 1.819088+6 1.950000-4 1.869696+6 2.000000-4 1.930732+6 2.060000-4 1.988140+6 2.113489-4 2.025063+6 2.170000-4 2.049292+6 2.220000-4 2.058636+6 2.290868-4 2.055488+6 2.371374-4 2.034639+6 2.454709-4 2.000563+6 2.540973-4 1.956250+6 2.650000-4 1.890076+6 2.754229-4 1.818345+6 2.851018-4 1.746777+6 3.000000-4 1.634120+6 3.162278-4 1.513884+6 3.311311-4 1.407359+6 3.500000-4 1.279268+6 3.715352-4 1.145265+6 3.935501-4 1.023098+6 4.200000-4 8.943400+5 4.518559-4 7.624571+5 4.897788-4 6.343668+5 5.300000-4 5.259160+5 5.800000-4 4.208840+5 6.309573-4 3.396465+5 6.918310-4 2.665763+5 7.585776-4 2.078928+5 8.317638-4 1.609780+5 9.225714-4 1.198733+5 1.030000-3 8.685000+4 1.135011-3 6.492932+4 1.273503-3 4.562600+4 1.428894-3 3.179448+4 1.603245-3 2.198144+4 1.778279-3 1.566886+4 1.972423-3 1.110477+4 2.220000-3 7.442680+3 2.511886-3 4.860601+3 2.818383-3 3.243837+3 3.162278-3 2.150038+3 3.548134-3 1.415563+3 3.981072-3 9.260329+2 4.466836-3 6.020843+2 5.128614-3 3.565608+2 5.821032-3 2.189611+2 6.683439-3 1.276782+2 7.673615-3 7.387210+1 8.810489-3 4.241202+1 1.011579-2 2.417403+1 1.161449-2 1.367814+1 1.348963-2 7.325743+0 1.584893-2 3.711074+0 1.905461-2 1.692049+0 2.371374-2 6.603471-1 3.019952-2 2.315040-1 6.760830-2 6.822717-3 8.317638-2 2.772734-3 9.885531-2 1.318016-3 1.161449-1 6.631405-4 1.333521-1 3.705629-4 1.531088-1 2.085964-4 1.737801-1 1.240867-4 1.949845-1 7.790182-5 2.187762-1 4.924872-5 2.454709-1 3.136755-5 2.722701-1 2.104272-5 3.054921-1 1.361002-5 3.388442-1 9.259876-6 3.715352-1 6.621998-6 4.073803-1 4.770135-6 4.415705-1 3.603147-6 4.786301-1 2.739429-6 5.128614-1 2.178933-6 5.623413-1 1.619601-6 6.606935-1 9.746717-7 7.161434-1 7.606601-7 7.762471-1 5.979091-7 8.413951-1 4.729149-7 8.912509-1 4.026093-7 9.332543-1 3.561052-7 9.772372-1 3.169603-7 1.023293+0 2.841451-7 1.071519+0 2.566054-7 1.122018+0 2.331969-7 1.188600+0 2.083500-7 1.273503+0 1.834255-7 1.380384+0 1.592255-7 1.531087+0 1.334845-7 1.798871+0 1.010892-7 2.018366+0 8.343870-8 2.264644+0 6.940259-8 2.570396+0 5.710036-8 2.951209+0 4.651859-8 3.427678+0 3.753728-8 4.000000+0 3.032400-8 4.677351+0 2.461106-8 5.559043+0 1.969839-8 6.760830+0 1.542662-8 8.222427+0 1.217575-8 1.035142+1 9.291911-9 1.333521+1 6.961798-9 1.778279+1 5.058849-9 2.454709+1 3.569565-9 3.427678+1 2.504781-9 5.623413+1 1.496520-9 1.000000+2 8.29740-10 1.995262+2 4.12145-10 3.981072+2 2.05607-10 1.584893+3 5.14704-11 1.000000+5 8.14910-13 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.449300-4 2.492400-5 1.000000+5 2.492400-5 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.449300-4 6.709900-8 1.000000+5 6.709900-8 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.449300-4 1.199389-4 1.000000+5 1.000000+5 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.430100-4 2.488692+5 1.437000-4 2.497188+5 1.442000-4 2.513292+5 1.448000-4 2.546010+5 1.453000-4 2.586312+5 1.458700-4 2.649010+5 1.462177-4 2.696804+5 1.467000-4 2.776458+5 1.471500-4 2.866110+5 1.477000-4 2.997234+5 1.483000-4 3.169182+5 1.488000-4 3.336666+5 1.494000-4 3.567744+5 1.500000-4 3.832236+5 1.510000-4 4.346730+5 1.531087-4 5.705206+5 1.540100-4 6.377594+5 1.550000-4 7.161120+5 1.560000-4 7.986780+5 1.570000-4 8.833980+5 1.580000-4 9.692880+5 1.590000-4 1.055562+6 1.600000-4 1.141662+6 1.610000-4 1.227204+6 1.623000-4 1.337094+6 1.635000-4 1.436838+6 1.647000-4 1.534602+6 1.660000-4 1.637892+6 1.675000-4 1.753122+6 1.690000-4 1.863432+6 1.705000-4 1.968156+6 1.723300-4 2.087565+6 1.740000-4 2.187960+6 1.760000-4 2.297118+6 1.780000-4 2.394426+6 1.805000-4 2.500524+6 1.820000-4 2.556726+6 1.850000-4 2.654892+6 1.883649-4 2.746842+6 1.927525-4 2.845774+6 1.980000-4 2.941686+6 2.040000-4 3.026826+6 2.089296-4 3.077536+6 2.137962-4 3.110225+6 2.190000-4 3.126810+6 2.240000-4 3.126942+6 2.300000-4 3.110640+6 2.380000-4 3.068886+6 2.480000-4 2.995938+6 2.580000-4 2.907096+6 2.690000-4 2.794800+6 2.800000-4 2.671740+6 2.917427-4 2.534795+6 3.054921-4 2.375440+6 3.200000-4 2.213136+6 3.350000-4 2.052774+6 3.507519-4 1.893043+6 3.715352-4 1.698455+6 3.981072-4 1.479762+6 4.216965-4 1.311609+6 4.518559-4 1.126452+6 4.897788-4 9.357089+5 5.308844-4 7.716694+5 5.754399-4 6.318482+5 6.309573-4 4.991055+5 6.918310-4 3.913784+5 7.673615-4 2.952423+5 8.413951-4 2.282268+5 9.332543-4 1.695374+5 1.030000-3 1.268406+5 1.150000-3 9.100800+4 1.288250-3 6.410337+4 1.428894-3 4.623288+4 1.603245-3 3.192082+4 1.819701-3 2.105250+4 2.070000-3 1.365732+4 2.344229-3 8.916484+3 2.660725-3 5.727751+3 3.000000-3 3.735894+3 3.349654-3 2.506557+3 3.758374-3 1.641606+3 4.216965-3 1.068329+3 4.731513-3 6.911726+2 5.432503-3 4.065683+2 6.165950-3 2.482529+2 7.079458-3 1.438236+2 8.128305-3 8.267719+1 9.225714-3 4.942777+1 1.059254-2 2.798352+1 1.216186-2 1.572871+1 1.412538-2 8.364040+0 1.659587-2 4.204131+0 1.995262-2 1.899560+0 2.454709-2 7.709735-1 3.090295-2 2.807624-1 4.073803-2 8.283656-2 7.161434-2 6.783829-3 8.709636-2 2.860898-3 1.023293-1 1.414621-3 1.174898-1 7.785672-4 1.333521-1 4.533065-4 1.513561-1 2.658542-4 1.698244-1 1.648269-4 1.883649-1 1.079097-4 2.089296-1 7.113182-5 2.290868-1 4.942075-5 2.511886-1 3.456726-5 2.754229-1 2.435529-5 3.000000-1 1.772358-5 3.235937-1 1.346468-5 3.507519-1 1.011846-5 3.801894-1 7.657789-6 4.073803-1 6.066860-6 4.415705-1 4.656909-6 4.841724-1 3.466365-6 5.432503-1 2.410745-6 5.821032-1 1.950714-6 6.025596-1 1.760102-6 6.382635-1 1.497747-6 6.839117-1 1.242873-6 7.498942-1 9.775237-7 8.035261-1 8.186136-7 8.709636-1 6.581958-7 9.225714-1 5.666389-7 9.660509-1 5.053695-7 1.011579+0 4.535013-7 1.071519+0 3.994081-7 1.135011+0 3.545378-7 1.202264+0 3.169802-7 1.288250+0 2.792777-7 1.412538+0 2.378152-7 1.531087+0 2.072914-7 1.798871+0 1.569801-7 2.018366+0 1.295826-7 2.264644+0 1.077882-7 2.570396+0 8.868186-8 2.951209+0 7.224574-8 3.427678+0 5.829685-8 4.000000+0 4.709400-8 4.677351+0 3.822137-8 5.559043+0 3.059132-8 6.760830+0 2.395834-8 8.222427+0 1.890952-8 1.035142+1 1.443018-8 1.333521+1 1.081197-8 1.778279+1 7.856519-9 2.454709+1 5.543676-9 3.427678+1 3.890053-9 5.623413+1 2.324111-9 1.011579+2 1.273583-9 2.018366+2 6.32677-10 4.027170+2 3.15650-10 1.603245+3 7.90190-11 1.000000+5 1.26560-12 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.430100-4 2.500200-5 1.000000+5 2.500200-5 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.430100-4 3.418200-8 1.000000+5 3.418200-8 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.430100-4 1.179738-4 1.000000+5 1.000000+5 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 4.639000-5 1.288808+5 4.731513-5 1.361692+5 4.850000-5 1.447134+5 4.970000-5 1.525998+5 5.080000-5 1.592294+5 5.230000-5 1.674134+5 5.400000-5 1.756354+5 5.580000-5 1.833288+5 5.800000-5 1.914770+5 6.025596-5 1.985584+5 6.300000-5 2.056020+5 6.531306-5 2.103237+5 6.839116-5 2.150053+5 7.161434-5 2.181064+5 7.500000-5 2.195680+5 7.852356-5 2.193811+5 8.222426-5 2.176433+5 8.650000-5 2.141540+5 9.120108-5 2.090731+5 9.660509-5 2.023069+5 1.040000-4 1.924326+5 1.122018-4 1.815243+5 1.220000-4 1.690320+5 1.318257-4 1.571687+5 1.428894-4 1.446656+5 1.566751-4 1.304951+5 1.737801-4 1.153104+5 1.950000-4 9.981800+4 2.162719-4 8.712349+4 2.454709-4 7.317557+4 2.900000-4 5.767560+4 3.349654-4 4.659535+4 4.027170-4 3.520291+4 4.897788-4 2.591214+4 5.956621-4 1.893569+4 7.244360-4 1.374567+4 8.810489-4 9.910490+3 1.059254-3 7.234963+3 1.273503-3 5.243813+3 1.513561-3 3.849319+3 1.798871-3 2.805334+3 2.162719-3 1.986158+3 2.570396-3 1.426417+3 3.090295-3 9.942727+2 3.672823-3 7.036858+2 4.365158-3 4.942263+2 5.128614-3 3.528482+2 6.025596-3 2.501337+2 7.079458-3 1.760611+2 8.317638-3 1.230401+2 9.772372-3 8.536305+1 1.148154-2 5.878115+1 1.348963-2 4.016749+1 1.584893-2 2.723512+1 1.862087-2 1.832270+1 2.187762-2 1.223376+1 2.570396-2 8.109242+0 3.019952-2 5.335925+0 3.589219-2 3.379743+0 4.265795-2 2.124091+0 5.069907-2 1.325121+0 6.095369-2 7.944226-1 7.498942-2 4.431579-1 9.440609-2 2.297910-1 1.161449-1 1.263010-1 1.972423-1 2.715740-2 2.426610-1 1.495016-2 2.851018-1 9.459162-3 3.311311-1 6.228009-3 3.758374-1 4.403267-3 4.216965-1 3.234480-3 4.731513-1 2.393382-3 5.248075-1 1.837950-3 5.821032-1 1.421567-3 6.456542-1 1.108007-3 7.161434-1 8.704763-4 7.852356-1 7.071885-4 8.609938-1 5.779244-4 9.440609-1 4.756359-4 1.035142+0 3.945276-4 1.174898+0 3.072499-4 1.303167+0 2.522553-4 1.445440+0 2.085041-4 1.603245+0 1.734813-4 1.798871+0 1.424220-4 2.044000+0 1.152700-4 2.290868+0 9.609578-5 2.600160+0 7.911918-5 2.985383+0 6.451219-5 3.467369+0 5.208693-5 4.027170+0 4.237309-5 4.731513+0 3.418707-5 5.623413+0 2.737605-5 6.839116+0 2.145005-5 8.413951+0 1.670659-5 1.059254+1 1.275944-5 1.380384+1 9.444093-6 1.862087+1 6.783744-6 2.660725+1 4.617651-6 3.715352+1 3.246552-6 5.888437+1 2.012526-6 1.083927+2 1.077977-6 2.162719+2 5.358263-7 8.609938+2 1.337347-7 1.000000+5 1.149200-9 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 4.639000-5 1.525300-5 1.000000+5 1.525300-5 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.639000-5 1.794800-8 1.000000+5 1.794800-8 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.639000-5 3.111905-5 1.000000+5 1.000000+5 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 2.847000-5 7.057380+6 2.960000-5 5.869000+6 3.080000-5 4.896040+6 3.273407-5 3.746177+6 3.801894-5 1.964550+6 4.731513-5 7.515923+5 5.011872-5 5.863392+5 5.300000-5 4.637820+5 5.559043-5 3.823881+5 5.800000-5 3.244020+5 6.025596-5 2.817220+5 6.237348-5 2.495336+5 6.456542-5 2.225214+5 6.683439-5 1.999193+5 6.900000-5 1.824040+5 7.079458-5 1.703291+5 7.300000-5 1.579662+5 7.500000-5 1.487006+5 7.737400-5 1.396475+5 8.000000-5 1.316014+5 8.230000-5 1.258988+5 8.511380-5 1.202570+5 8.810489-5 1.155135+5 9.150000-5 1.112886+5 9.549926-5 1.074470+5 1.000000-4 1.041298+5 1.060000-4 1.007548+5 1.174898-4 9.598952+4 1.380384-4 8.930258+4 1.513561-4 8.517446+4 1.659587-4 8.068080+4 1.819701-4 7.585899+4 2.000000-4 7.067760+4 2.187762-4 6.556978+4 2.400000-4 6.023420+4 2.660725-4 5.437178+4 2.917427-4 4.929563+4 3.200000-4 4.438720+4 3.600000-4 3.849120+4 4.027170-4 3.333542+4 4.500000-4 2.867360+4 5.011872-4 2.460555+4 5.559043-4 2.110226+4 6.237348-4 1.766247+4 6.918310-4 1.495546+4 7.800000-4 1.224238+4 8.709636-4 1.011139+4 9.772372-4 8.219246+3 1.083927-3 6.776138+3 1.216186-3 5.426768+3 1.364583-3 4.312037+3 1.531087-3 3.399417+3 1.717908-3 2.657098+3 1.927525-3 2.061107+3 2.187762-3 1.546131+3 2.454709-3 1.181921+3 2.754229-3 8.971988+2 3.090295-3 6.763674+2 3.467369-3 5.064158+2 3.935501-3 3.655138+2 4.466836-3 2.616963+2 5.069907-3 1.859146+2 5.754399-3 1.310881+2 6.531306-3 9.176144+1 7.413102-3 6.378153+1 8.413951-3 4.402995+1 9.660509-3 2.916723+1 1.109175-2 1.918244+1 1.273503-2 1.252668+1 1.462177-2 8.122460+0 1.678804-2 5.229179+0 1.949845-2 3.220161+0 2.290868-2 1.896023+0 2.722701-2 1.066546+0 3.235937-2 5.955185-1 3.981072-2 2.934386-1 5.069907-2 1.274097-1 6.531306-2 5.279524-2 1.023293-1 1.101970-2 1.288250-1 4.966392-3 1.566751-1 2.540840-3 1.840772-1 1.473232-3 2.137962-1 8.948018-4 2.454709-1 5.690286-4 2.786121-1 3.785611-4 3.126079-1 2.631507-4 3.507519-1 1.842465-4 3.890451-1 1.345905-4 4.315191-1 9.901729-5 4.786301-1 7.337769-5 5.308844-1 5.478051-5 5.888437-1 4.121538-5 6.456542-1 3.223328-5 7.079458-1 2.537904-5 7.762471-1 2.011742-5 8.609938-1 1.555681-5 9.225714-1 1.319091-5 9.772372-1 1.156961-5 1.035142+0 1.021589-5 1.109175+0 8.855760-6 1.188600+0 7.730400-6 1.318257+0 6.384207-6 1.479108+0 5.200890-6 1.717908+0 4.008067-6 1.949845+0 3.239316-6 2.187762+0 2.688848-6 2.483133+0 2.207703-6 2.851018+0 1.795050-6 3.311311+0 1.446015-6 3.845918+0 1.173713-6 4.518559+0 9.448968-7 5.370318+0 7.550867-7 6.531306+0 5.905635-7 7.943282+0 4.654863-7 9.885531+0 3.595914-7 1.244515+1 2.761223-7 1.603245+1 2.080133-7 2.113489+1 1.538191-7 2.951209+1 1.076067-7 4.466836+1 6.969299-8 7.328245+1 4.181487-8 1.396368+2 2.168704-8 2.786121+2 1.079976-8 1.109175+3 2.699400-9 1.000000+5 2.98950-11 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 2.847000-5 1.019400-5 1.000000+5 1.019400-5 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.847000-5 2.849300-8 1.000000+5 2.849300-8 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.847000-5 1.824751-5 1.000000+5 1.000000+5 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 2.720000-5 1.443116+7 2.820000-5 1.211040+7 2.930000-5 1.012416+7 3.080000-5 8.086320+6 3.845918-5 3.061644+6 4.365158-5 1.755488+6 4.650000-5 1.337524+6 4.900000-5 1.074900+6 5.128614-5 8.948008+5 5.350000-5 7.604600+5 5.559043-5 6.608551+5 5.754399-5 5.861849+5 5.956621-5 5.235598+5 6.165950-5 4.711472+5 6.382635-5 4.273951+5 6.580000-5 3.949492+5 6.800000-5 3.654372+5 7.000000-5 3.435240+5 7.244360-5 3.218149+5 7.500000-5 3.038028+5 7.762471-5 2.891656+5 8.035261-5 2.771167+5 8.317638-5 2.672219+5 8.650000-5 2.580640+5 9.015711-5 2.501893+5 9.549926-5 2.414018+5 1.035142-4 2.315689+5 1.273503-4 2.100653+5 1.400000-4 1.996444+5 1.531087-4 1.889238+5 1.678804-4 1.771765+5 1.850000-4 1.642628+5 2.018366-4 1.524468+5 2.220000-4 1.393968+5 2.454709-4 1.258083+5 2.730000-4 1.120276+5 3.019952-4 9.959550+4 3.311311-4 8.887921+4 3.700000-4 7.695040+4 4.120975-4 6.643066+4 4.623810-4 5.631855+4 5.188000-4 4.740703+4 5.821032-4 3.959864+4 6.531306-4 3.284266+4 7.300000-4 2.721956+4 8.160720-4 2.240592+4 9.120108-4 1.832456+4 1.023293-3 1.477251+4 1.148154-3 1.181514+4 1.288250-3 9.375989+3 1.445440-3 7.382578+3 1.621810-3 5.767522+3 1.819701-3 4.471424+3 2.041738-3 3.440882+3 2.290868-3 2.628671+3 2.570396-3 1.993845+3 2.884032-3 1.501729+3 3.273407-3 1.090839+3 3.672823-3 8.100058+2 4.120975-3 5.974320+2 4.677351-3 4.241483+2 5.308844-3 2.987894+2 6.025596-3 2.088955+2 6.839116-3 1.449819+2 7.762471-3 9.990767+1 8.810489-3 6.837567+1 1.000000-2 4.647580+1 1.135011-2 3.135725+1 1.303167-2 2.025895+1 1.496236-2 1.299309+1 1.737801-2 7.970588+0 2.018366-2 4.853717+0 2.371374-2 2.822226+0 2.786121-2 1.628537+0 3.273407-2 9.331013-1 3.935501-2 4.899932-1 4.841724-2 2.355192-1 6.095369-2 1.034436-1 1.188502-1 9.376657-3 1.445440-1 4.669097-3 1.698244-1 2.646328-3 1.949845-1 1.637408-3 2.213095-1 1.061519-3 2.483133-1 7.206225-4 2.786121-1 4.928375-4 3.090295-1 3.526252-4 3.427678-1 2.542142-4 3.758374-1 1.913564-4 4.120975-1 1.450518-4 4.518559-1 1.107742-4 4.954502-1 8.524082-5 5.432503-1 6.611576-5 5.888437-1 5.328662-5 6.382635-1 4.322491-5 6.918310-1 3.528700-5 7.498942-1 2.898732-5 8.413951-1 2.209346-5 9.120108-1 1.840380-5 9.772372-1 1.584464-5 1.071519+0 1.310591-5 1.174898+0 1.091893-5 1.288250+0 9.172135-6 1.428894+0 7.593515-6 1.640590+0 5.952797-6 1.862087+0 4.798943-6 2.089296+0 3.972770-6 2.371374+0 3.252633-6 2.691535+0 2.683086-6 3.126079+0 2.154902-6 3.630781+0 1.743985-6 4.216965+0 1.421864-6 4.954502+0 1.149635-6 5.956621+0 9.091380-7 7.244360+0 7.139414-7 9.000000+0 5.508700-7 1.135011+1 4.208629-7 1.462177+1 3.162184-7 1.949845+1 2.303729-7 2.818383+1 1.551075-7 3.935501+1 1.091644-7 6.165950+1 6.853171-8 1.135011+2 3.673085-8 2.264644+2 1.826422-8 9.015711+2 4.559998-9 1.000000+5 4.10330-11 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 2.720000-5 1.019700-5 1.000000+5 1.019700-5 1 38000 7 7 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.720000-5 1.199500-8 1.000000+5 1.199500-8 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.720000-5 1.699101-5 1.000000+5 1.000000+5 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 5.100000-6 1.762245+6 5.308844-6 1.401042+6 5.500000-6 1.137980+6 5.700000-6 9.165320+5 5.920000-6 7.229500+5 6.100000-6 5.953500+5 6.270000-6 4.953800+5 6.456542-6 4.045886+5 6.606934-6 3.432479+5 6.770000-6 2.867540+5 6.930000-6 2.399160+5 7.100000-6 1.980172+5 7.270000-6 1.629436+5 7.420000-6 1.367824+5 7.550000-6 1.172290+5 7.700000-6 9.778360+4 7.852356-6 8.099782+4 8.000000-6 6.719320+4 8.150000-6 5.531040+4 8.270000-6 4.716300+4 8.380000-6 4.063240+4 8.511380-6 3.388053+4 8.650000-6 2.785020+4 8.770000-6 2.343020+4 8.920000-6 1.882184+4 9.280000-6 1.117234+4 9.380000-6 9.749440+3 9.460000-6 8.794980+3 9.520000-6 8.178260+3 9.570000-6 7.725320+3 9.620000-6 7.325020+3 9.670000-6 6.974780+3 9.730000-6 6.617200+3 9.790000-6 6.324260+3 9.850000-6 6.092200+3 9.910000-6 5.917460+3 9.960000-6 5.813160+3 1.000000-5 5.755440+3 1.005000-5 5.713940+3 1.010000-5 5.704880+3 1.015000-5 5.726620+3 1.021500-5 5.798400+3 1.027000-5 5.895300+3 1.033000-5 6.036540+3 1.039000-5 6.212580+3 1.047129-5 6.502686+3 1.055000-5 6.835900+3 1.065000-5 7.326540+3 1.077000-5 8.004180+3 1.122018-5 1.121360+4 1.142000-5 1.288144+4 1.161449-5 1.459937+4 1.180000-5 1.630062+4 1.200000-5 1.818098+4 1.222000-5 2.028180+4 1.244515-5 2.244545+4 1.264200-5 2.433404+4 1.288250-5 2.662205+4 1.310000-5 2.866200+4 1.333521-5 3.082635+4 1.357000-5 3.293560+4 1.380384-5 3.497929+4 1.412538-5 3.768767+4 1.445440-5 4.032880+4 1.480000-5 4.295800+4 1.515000-5 4.546700+4 1.550000-5 4.782160+4 1.590000-5 5.032720+4 1.640590-5 5.322379+4 1.698244-5 5.617672+4 1.757924-5 5.887300+4 1.830000-5 6.168620+4 1.905461-5 6.416859+4 1.995262-5 6.658801+4 2.089296-5 6.859507+4 2.190000-5 7.024500+4 2.317395-5 7.171193+4 2.454709-5 7.265241+4 2.600160-5 7.307877+4 2.754229-5 7.303585+4 2.950000-5 7.242740+4 3.162278-5 7.127027+4 3.388442-5 6.962547+4 3.630781-5 6.752177+4 3.900000-5 6.493760+4 4.216965-5 6.173484+4 4.518559-5 5.865971+4 4.897788-5 5.484206+4 5.308844-5 5.090405+4 5.821032-5 4.640512+4 6.382635-5 4.202045+4 7.244360-5 3.635885+4 8.317638-5 3.081596+4 9.885531-5 2.485645+4 1.288250-4 1.768623+4 1.513561-4 1.431501+4 1.678804-4 1.242141+4 1.883649-4 1.053203+4 2.089296-4 9.021821+3 2.426610-4 7.151172+3 3.890451-4 3.382918+3 4.731513-4 2.457628+3 6.683439-4 1.388769+3 8.035261-4 1.016166+3 1.035142-3 6.576824+2 1.244515-3 4.754870+2 1.500000-3 3.395960+2 1.798871-3 2.429991+2 2.162719-3 1.717648+2 2.570396-3 1.233723+2 3.019952-3 8.994206+1 3.589219-3 6.361674+1 4.365158-3 4.259288+1 5.188000-3 2.966681+1 6.095369-3 2.101774+1 7.161434-3 1.478456+1 8.413951-3 1.032540+1 9.885531-3 7.158555+0 1.161449-2 4.926114+0 1.364583-2 3.364283+0 1.603245-2 2.280003+0 1.883649-2 1.533048+0 2.213095-2 1.022953+0 2.600160-2 6.774951-1 3.054921-2 4.454467-1 3.630781-2 2.819720-1 4.315191-2 1.771271-1 5.128614-2 1.104501-1 6.165950-2 6.618793-2 7.585776-2 3.690810-2 9.549926-2 1.913215-2 1.216186-1 9.509688-3 1.949845-1 2.416605-3 2.426610-1 1.287000-3 2.851018-1 8.144418-4 3.311311-1 5.363540-4 3.758374-1 3.793069-4 4.216965-1 2.787148-4 4.731513-1 2.063258-4 5.248075-1 1.585225-4 5.821032-1 1.226883-4 6.382635-1 9.834491-5 6.998420-1 7.934240-5 7.673615-1 6.443334-5 8.413951-1 5.267816-5 9.225714-1 4.336574-5 1.011579+0 3.595504-5 1.161449+0 2.734595-5 1.288250+0 2.246257-5 1.462177+0 1.777869-5 1.603245+0 1.509319-5 1.798871+0 1.238987-5 2.044000+0 1.003100-5 2.317395+0 8.215237-6 2.630268+0 6.768003-6 3.019952+0 5.520554-6 3.507519+0 4.459881-6 4.073803+0 3.630158-6 4.786301+0 2.930384-6 5.688529+0 2.347818-6 6.918310+0 1.840340-6 8.511380+0 1.434053-6 1.071519+1 1.095649-6 1.400000+1 8.089100-7 1.883649+1 5.829402-7 2.691535+1 3.969318-7 3.758374+1 2.791349-7 6.025596+1 1.710185-7 1.096478+2 9.271219-8 2.187762+2 4.608852-8 8.709636+2 1.150417-8 1.000000+5 1.00000-10 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 5.100000-6 5.100000-6 1.000000+5 5.100000-6 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 5.100000-6 0.0 1.000000+5 1.000000+5 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 7.654440-8 1.028750+0 7.654440-7 1.029500+0 1.047530-6 1.030100+0 1.317400-6 1.031000+0 1.802650-6 1.032000+0 2.466470-6 1.033200+0 3.455110-6 1.034000+0 4.241470-6 1.035300+0 5.757190-6 1.036640+0 7.654440-6 1.038200+0 1.032990-5 1.039700+0 1.342060-5 1.041500+0 1.785600-5 1.043800+0 2.478470-5 1.046400+0 3.448320-5 1.048300+0 4.293260-5 1.051200+0 5.823710-5 1.054080+0 7.654440-5 1.057700+0 1.043350-4 1.061100+0 1.357140-4 1.065100+0 1.796710-4 1.070400+0 2.506600-4 1.076200+0 3.464120-4 1.080600+0 4.326120-4 1.087100+0 5.828690-4 1.093710+0 7.654440-4 1.102600+0 1.061250-3 1.110700+0 1.384050-3 1.120600+0 1.851370-3 1.133300+0 2.574100-3 1.147500+0 3.553950-3 1.158200+0 4.416650-3 1.174100+0 5.903230-3 1.190110+0 7.654440-3 1.205100+0 9.529500-3 1.227500+0 1.275580-2 1.250000+0 1.648000-2 1.265600+0 1.931990-2 1.294900+0 2.516920-2 1.331800+0 3.337720-2 1.362600+0 4.084150-2 1.411700+0 5.373400-2 1.455800+0 6.625090-2 1.500000+0 7.971000-2 1.589800+0 1.100930-1 1.665000+0 1.385300-1 1.784700+0 1.886100-1 1.892300+0 2.373230-1 2.000000+0 2.878000-1 2.044000+0 3.085000-1 2.163500+0 3.654330-1 2.372600+0 4.669050-1 2.647100+0 6.007610-1 3.000000+0 7.696000-1 3.437500+0 9.691590-1 4.000000+0 1.209000+0 4.750000+0 1.502490+0 5.000000+0 1.594000+0 6.000000+0 1.931000+0 7.000000+0 2.232000+0 8.000000+0 2.502000+0 9.000000+0 2.748000+0 1.000000+1 2.972000+0 1.100000+1 3.177000+0 1.200000+1 3.365000+0 1.300000+1 3.539000+0 1.400000+1 3.698000+0 1.500000+1 3.847000+0 1.600000+1 3.986000+0 1.800000+1 4.240000+0 2.000000+1 4.468000+0 2.200000+1 4.676000+0 2.400000+1 4.864000+0 2.600000+1 5.036000+0 2.800000+1 5.194000+0 3.000000+1 5.339000+0 4.000000+1 5.931000+0 5.000000+1 6.370000+0 6.000000+1 6.712000+0 8.000000+1 7.218000+0 1.000000+2 7.577000+0 1.500000+2 8.149000+0 2.000000+2 8.490000+0 3.000000+2 8.888000+0 4.000000+2 9.117000+0 5.000000+2 9.267000+0 6.000000+2 9.375000+0 8.000000+2 9.519000+0 1.000000+3 9.612000+0 1.500000+3 9.747000+0 2.000000+3 9.820000+0 3.000000+3 9.899000+0 4.000000+3 9.942000+0 5.000000+3 9.969000+0 6.000000+3 9.988000+0 8.000000+3 1.001000+1 1.000000+4 1.003000+1 1.500000+4 1.005000+1 2.000000+4 1.006000+1 3.000000+4 1.007000+1 4.000000+4 1.008000+1 5.000000+4 1.008000+1 6.000000+4 1.009000+1 8.000000+4 1.009000+1 1.000000+5 1.009000+1 1 38000 7 8 8.762000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 3.815330-7 2.106600+0 1.243080-6 2.114000+0 1.719950-6 2.119500+0 2.141330-6 2.127900+0 2.904050-6 2.136250+0 3.815330-6 2.147000+0 5.231090-6 2.156900+0 6.794550-6 2.169000+0 9.067750-6 2.184500+0 1.260450-5 2.201800+0 1.743870-5 2.214800+0 2.172720-5 2.234200+0 2.922690-5 2.253680+0 3.815330-5 2.281500+0 5.344040-5 2.307000+0 7.019380-5 2.338200+0 9.438170-5 2.377400+0 1.307070-4 2.410200+0 1.662380-4 2.446800+0 2.114640-4 2.485900+0 2.662450-4 2.532900+0 3.407360-4 2.556430+0 3.815330-4 2.611900+0 4.864970-4 2.660400+0 5.881480-4 2.745300+0 7.871970-4 2.809000+0 9.533410-4 2.904500+0 1.228150-3 3.000000+0 1.533000-3 3.125000+0 1.976750-3 3.234400+0 2.405270-3 3.425800+0 3.239000-3 3.569300+0 3.927570-3 3.784700+0 5.048780-3 4.000000+0 6.254000-3 4.250000+0 7.727300-3 4.625000+0 1.004260-2 5.000000+0 1.245000-2 5.500000+0 1.575630-2 6.000000+0 1.911000-2 6.750000+0 2.410570-2 7.000000+0 2.575000-2 8.000000+0 3.218000-2 9.000000+0 3.833000-2 1.000000+1 4.418000-2 1.100000+1 4.972000-2 1.200000+1 5.494000-2 1.300000+1 5.987000-2 1.400000+1 6.456000-2 1.500000+1 6.900000-2 1.600000+1 7.323000-2 1.800000+1 8.106000-2 2.000000+1 8.819000-2 2.200000+1 9.472000-2 2.400000+1 1.007000-1 2.600000+1 1.063000-1 2.800000+1 1.114000-1 3.000000+1 1.162000-1 4.000000+1 1.361000-1 5.000000+1 1.513000-1 6.000000+1 1.633000-1 8.000000+1 1.815000-1 1.000000+2 1.947000-1 1.500000+2 2.168000-1 2.000000+2 2.307000-1 3.000000+2 2.479000-1 4.000000+2 2.582000-1 5.000000+2 2.654000-1 6.000000+2 2.706000-1 8.000000+2 2.779000-1 1.000000+3 2.828000-1 1.500000+3 2.902000-1 2.000000+3 2.944000-1 3.000000+3 2.990000-1 4.000000+3 3.017000-1 5.000000+3 3.034000-1 6.000000+3 3.046000-1 8.000000+3 3.062000-1 1.000000+4 3.072000-1 1.500000+4 3.086000-1 2.000000+4 3.094000-1 3.000000+4 3.102000-1 4.000000+4 3.107000-1 5.000000+4 3.110000-1 6.000000+4 3.112000-1 8.000000+4 3.114000-1 1.000000+5 3.115000-1 1 38000 7 8 8.762000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 38000 7 9 8.762000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 3.800000+1 1.000000+5 3.800000+1 5.000000+5 3.797200+1 1.000000+6 3.793200+1 1.375000+6 3.789290+1 1.500000+6 3.787500+1 1.750000+6 3.783190+1 2.000000+6 3.778100+1 2.375000+6 3.769370+1 2.500000+6 3.766200+1 2.875000+6 3.755860+1 3.000000+6 3.752100+1 3.250000+6 3.744130+1 3.625000+6 3.731360+1 4.000000+6 3.718000+1 4.437500+6 3.701840+1 4.812500+6 3.687080+1 5.000000+6 3.679300+1 5.500000+6 3.656960+1 5.875000+6 3.639790+1 6.437500+6 3.613090+1 6.500000+6 3.610220+1 7.000000+6 3.586200+1 7.500000+6 3.562170+1 8.250000+6 3.525720+1 8.500000+6 3.513720+1 9.000000+6 3.489400+1 1.000000+7 3.440600+1 1.250000+7 3.324700+1 1.500000+7 3.211300+1 1.750000+7 3.102200+1 2.000000+7 2.994200+1 2.250000+7 2.885720+1 2.375000+7 2.831990+1 2.500000+7 2.779400+1 2.875000+7 2.627580+1 3.000000+7 2.579700+1 3.500000+7 2.400490+1 3.875000+7 2.280880+1 4.000000+7 2.243800+1 4.500000+7 2.106680+1 4.750000+7 2.043790+1 5.000000+7 1.983900+1 5.500000+7 1.870620+1 5.750000+7 1.816350+1 6.000000+7 1.763600+1 6.500000+7 1.661010+1 7.000000+7 1.562400+1 7.500000+7 1.467760+1 8.000000+7 1.377600+1 8.750000+7 1.251630+1 9.000000+7 1.212500+1 9.750000+7 1.103360+1 1.000000+8 1.069900+1 1.125000+8 9.240120+0 1.187500+8 8.640720+0 1.250000+8 8.122000+0 1.359400+8 7.382130+0 1.437500+8 6.960570+0 1.453100+8 6.885810+0 1.500000+8 6.676600+0 1.625000+8 6.218220+0 1.718800+8 5.936330+0 1.906300+8 5.453050+0 2.000000+8 5.231600+0 2.125000+8 4.945590+0 2.375000+8 4.433150+0 2.500000+8 4.212900+0 2.671900+8 3.940740+0 2.789100+8 3.753920+0 2.875000+8 3.608380+0 2.894500+8 3.574010+0 2.973600+8 3.429530+0 3.000000+8 3.379400+0 3.062500+8 3.257280+0 3.335900+8 2.760420+0 3.445300+8 2.608620+0 3.500000+8 2.545900+0 4.000000+8 2.175800+0 4.062500+8 2.126590+0 5.000000+8 1.435500+0 5.125000+8 1.383380+0 5.234400+8 1.345180+0 5.425800+8 1.290640+0 5.712900+8 1.227500+0 6.000000+8 1.175000+0 7.000000+8 1.018800+0 7.750000+8 9.297820-1 8.000000+8 9.008000-1 8.250000+8 8.708600-1 8.687500+8 8.173860-1 9.015600+8 7.774960-1 9.507800+8 7.194460-1 1.000000+9 6.647000-1 1.062500+9 6.007390-1 1.117200+9 5.497870-1 1.186000+9 4.917660-1 1.243500+9 4.481030-1 1.307700+9 4.039980-1 1.375000+9 3.626080-1 1.376400+9 3.617980-1 1.458800+9 3.172080-1 1.500000+9 2.971300-1 1.589800+9 2.578880-1 1.665000+9 2.293950-1 1.784700+9 1.910540-1 1.892300+9 1.627850-1 2.000000+9 1.392900-1 2.139200+9 1.146390-1 2.272600+9 9.578160-2 2.443000+9 7.685470-2 2.680200+9 5.751380-2 2.825100+9 4.860830-2 3.097000+9 3.604140-2 3.334900+9 2.819430-2 3.751200+9 1.895150-2 4.297500+9 1.187190-2 5.000000+9 7.003100-3 6.500000+9 2.782480-3 8.000000+9 1.337000-3 1.00000+10 6.098700-4 1.20500+10 3.189300-4 1.41820+10 1.822050-4 1.71170+10 9.614490-5 2.01490+10 5.556300-5 2.26440+10 3.764170-5 2.74790+10 1.984790-5 3.41360+10 9.760690-6 4.02450+10 5.723850-6 5.12000+10 2.641470-6 6.34000+10 1.338110-6 8.17000+10 6.011260-7 1.00000+11 3.191400-7 1.34280+11 1.275730-7 1.77440+11 5.395260-8 2.63330+11 1.610840-8 3.75720+11 5.477130-9 6.61190+11 1.002090-9 1.48990+12 9.00098-11 4.26460+12 4.15447-12 1.00000+14 4.66210-16 5.62340+14 3.13189-18 7.49890+15 1.61691-21 1.00000+17 8.01300-25 1 38000 7 0 8.762000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 9.10000-12 1.000000+2 9.10000-10 1.000000+3 9.100000-8 1.000000+4 9.100000-6 1.000000+5 9.100000-4 5.000000+5 2.275000-2 1.000000+6 9.100000-2 1.375000+6 1.706970-1 1.500000+6 2.023000-1 1.750000+6 2.723850-1 2.000000+6 3.512000-1 2.375000+6 4.845110-1 2.500000+6 5.326000-1 2.875000+6 6.860410-1 3.000000+6 7.400000-1 3.250000+6 8.513380-1 3.625000+6 1.025680+0 4.000000+6 1.206400+0 4.437500+6 1.421870+0 4.812500+6 1.608020+0 5.000000+6 1.701000+0 5.500000+6 1.945970+0 5.875000+6 2.126280+0 6.437500+6 2.389320+0 6.500000+6 2.418000+0 7.000000+6 2.642000+0 7.500000+6 2.856810+0 8.250000+6 3.164270+0 8.500000+6 3.263300+0 9.000000+6 3.457100+0 1.000000+7 3.831000+0 1.250000+7 4.737800+0 1.500000+7 5.653000+0 1.750000+7 6.569500+0 2.000000+7 7.464000+0 2.250000+7 8.326180+0 2.375000+7 8.745850+0 2.500000+7 9.159300+0 2.875000+7 1.035820+1 3.000000+7 1.074600+1 3.500000+7 1.222650+1 3.875000+7 1.325230+1 4.000000+7 1.357600+1 4.500000+7 1.477980+1 4.750000+7 1.533380+1 5.000000+7 1.586000+1 5.500000+7 1.683680+1 5.750000+7 1.729750+1 6.000000+7 1.774500+1 6.500000+7 1.860150+1 7.000000+7 1.942000+1 7.500000+7 2.020390+1 8.000000+7 2.095600+1 8.750000+7 2.202430+1 9.000000+7 2.236700+1 9.750000+7 2.334180+1 1.000000+8 2.365400+1 1.125000+8 2.509270+1 1.187500+8 2.574770+1 1.250000+8 2.636000+1 1.359400+8 2.733360+1 1.437500+8 2.795760+1 1.453100+8 2.807680+1 1.500000+8 2.842300+1 1.625000+8 2.925590+1 1.718800+8 2.981210+1 1.906300+8 3.078170+1 2.000000+8 3.121000+1 2.125000+8 3.172670+1 2.375000+8 3.262540+1 2.500000+8 3.301400+1 2.671900+8 3.349210+1 2.789100+8 3.378450+1 2.875000+8 3.398580+1 2.894500+8 3.402840+1 2.973600+8 3.419890+1 3.000000+8 3.425500+1 3.062500+8 3.437640+1 3.335900+8 3.485810+1 3.445300+8 3.502510+1 3.500000+8 3.510300+1 4.000000+8 3.568200+1 4.062500+8 3.573840+1 5.000000+8 3.639900+1 5.125000+8 3.646240+1 5.234400+8 3.651670+1 5.425800+8 3.660920+1 5.712900+8 3.673310+1 6.000000+8 3.684800+1 7.000000+8 3.717200+1 7.750000+8 3.735950+1 8.000000+8 3.741300+1 8.250000+8 3.745930+1 8.687500+8 3.753700+1 9.015600+8 3.758900+1 9.507800+8 3.765580+1 1.000000+9 3.771300+1 1.062500+9 3.777130+1 1.117200+9 3.780970+1 1.186000+9 3.785270+1 1.243500+9 3.787830+1 1.307700+9 3.790550+1 1.375000+9 3.792370+1 1.376400+9 3.792400+1 1.458800+9 3.794360+1 1.500000+9 3.795300+1 1.589800+9 3.796320+1 1.665000+9 3.797130+1 1.784700+9 3.798170+1 1.892300+9 3.798650+1 2.000000+9 3.799100+1 2.139200+9 3.799330+1 2.272600+9 3.799540+1 2.443000+9 3.799790+1 2.680200+9 3.800110+1 2.825100+9 3.800190+1 3.097000+9 3.800160+1 3.334900+9 3.800130+1 3.751200+9 3.800100+1 4.297500+9 3.800050+1 5.000000+9 3.800000+1 6.500000+9 3.800000+1 8.000000+9 3.800000+1 1.00000+10 3.800000+1 1.20500+10 3.800000+1 1.41820+10 3.800000+1 1.71170+10 3.800000+1 2.01490+10 3.800000+1 2.26440+10 3.800000+1 2.74790+10 3.800000+1 3.41360+10 3.800000+1 4.02450+10 3.800000+1 5.12000+10 3.800000+1 6.34000+10 3.800000+1 8.17000+10 3.800000+1 1.00000+11 3.800000+1 1.34280+11 3.800000+1 1.77440+11 3.800000+1 2.63330+11 3.800000+1 3.75720+11 3.800000+1 6.61190+11 3.800000+1 1.48990+12 3.800000+1 4.26460+12 3.800000+1 1.00000+14 3.800000+1 5.62340+14 3.800000+1 7.49890+15 3.800000+1 1.00000+17 3.800000+1 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.367335-6 0.0 1.370700-6 1.033773-7 1.374066-6 2.045551-7 1.377431-6 3.736366-7 1.380797-6 6.300027-7 1.384162-6 9.805940-7 1.387528-6 1.408932-6 1.390893-6 1.868721-6 1.394259-6 2.287984-6 1.397624-6 2.585922-6 1.400990-6 2.697936-6 1.404356-6 2.598376-6 1.407721-6 2.310075-6 1.411087-6 1.895852-6 1.417818-6 1.004437-6 1.421183-6 6.484294-7 1.424549-6 3.864175-7 1.427914-6 2.125714-7 1.431280-6 1.079461-7 1.434645-6 0.0 1.441812-6 0.0 1.445360-6 1.900113-7 1.448909-6 3.759800-7 1.452458-6 6.867582-7 1.456007-6 1.157969-6 1.459556-6 1.802369-6 1.463105-6 2.589669-6 1.466653-6 3.434780-6 1.470202-6 4.205401-6 1.473751-6 4.753022-6 1.477300-6 4.958909-6 1.480849-6 4.775913-6 1.484398-6 4.246006-6 1.487947-6 3.484646-6 1.495044-6 1.846192-6 1.498593-6 1.191838-6 1.502142-6 7.102499-7 1.505691-6 3.907143-7 1.509240-6 1.984090-7 1.512788-6 0.0 2.129036-6 0.0 2.138207-6 3.580748+0 2.139517-6 4.087064+0 2.144758-6 7.465356+0 2.149998-6 1.258762+1 2.155893-6 2.066005+1 2.164736-6 3.561166+1 2.171614-6 4.645708+1 2.176527-6 5.181966+1 2.187008-6 5.647228+1 2.197489-6 5.375517+1 2.202729-6 5.513092+1 2.208126-6 6.100547+1 2.213905-6 7.246888+1 2.223655-6 9.685285+1 2.229813-6 1.071560+2 2.234390-6 1.093354+2 2.240250-6 1.042305+2 2.246090-6 9.060676+1 2.254539-6 6.279745+1 2.261228-6 4.070537+1 2.266595-6 2.627797+1 2.271963-6 1.565979+1 2.277330-6 8.614579+0 2.285382-6 2.189861+0 2.288066-6 0.0 3.138041-6 0.0 3.145765-6 1.07917-15 3.153489-6 2.13538-15 3.161213-6 3.90045-15 3.168937-6 6.57669-15 3.176661-6 1.02366-14 3.184384-6 1.47080-14 3.192108-6 1.95079-14 3.199832-6 2.38846-14 3.207556-6 2.69948-14 3.215280-6 2.81642-14 3.223004-6 2.71248-14 3.230728-6 2.41152-14 3.238452-6 1.97911-14 3.253899-6 1.04855-14 3.261623-6 6.76905-15 3.269347-6 4.03387-15 3.277071-6 2.21906-15 3.284795-6 1.12687-15 3.292519-6 0.0 3.664805-6 0.0 3.667275-6 8.278957-7 3.682920-6 8.879798-2 3.685328-6 1.375735-1 3.694354-6 3.537775-1 3.701050-6 5.449915-1 3.710115-6 9.263331-1 3.720039-6 1.527270+0 3.738067-6 2.957476+0 3.748796-6 3.840726+0 3.759162-6 4.429892+0 3.766567-6 4.657543+0 3.774137-6 4.636969+0 3.783323-6 4.287686+0 3.794894-6 3.471341+0 3.813606-6 1.912549+0 3.820726-6 1.392573+0 3.827960-6 9.574029-1 3.837025-6 5.610520-1 3.846090-6 2.836102-1 3.847805-6 2.479291-1 3.855155-6 1.388005-1 3.864220-6 0.0 4.146392-6 0.0 4.156598-6 1.45542-11 4.166803-6 2.87988-11 4.177009-6 5.26034-11 4.187215-6 8.86966-11 4.197421-6 1.38056-10 4.221659-6 2.85192-10 4.228472-6 6.982161-3 4.242441-6 6.106254-2 4.249287-6 9.183815-2 4.252832-6 1.144570-1 4.259695-6 1.642309-1 4.270103-6 2.714170-1 4.280511-6 4.145252-1 4.307415-6 8.561313-1 4.318661-6 9.908502-1 4.322142-6 1.023644+0 4.332550-6 1.053026+0 4.342958-6 1.000803+0 4.353366-6 8.787355-1 4.382059-6 4.090815-1 4.387916-6 3.249738-1 4.394997-6 2.363482-1 4.405405-6 1.395746-1 4.415813-6 7.613093-2 4.429481-6 2.149603-2 4.436628-6 0.0 4.445275-6 0.0 4.456217-6 9.14169-12 4.467158-6 1.80889-11 4.478100-6 3.30408-11 4.485339-6 4.80285-11 4.488911-6 1.279487-3 4.507419-6 2.720589-2 4.511009-6 3.302454-2 4.518459-6 5.025620-2 4.522058-6 5.967717-2 4.533107-6 9.961623-2 4.544156-6 1.535981-1 4.573660-6 3.302400-1 4.588351-6 3.923173-1 4.599400-6 4.065701-1 4.610449-6 3.891176-1 4.621498-6 3.439233-1 4.644966-6 2.116276-1 4.656371-6 1.548446-1 4.665693-6 1.210260-1 4.675775-6 1.018727-1 4.679180-6 9.899705-2 4.688461-6 9.990533-2 4.706141-6 1.243274-1 4.711261-6 1.357311-1 4.724800-6 1.743167-1 4.736205-6 2.004608-1 4.747610-6 2.130763-1 4.759015-6 2.128464-1 4.782000-6 1.877242-1 4.793230-6 1.734917-1 4.804635-6 1.634450-1 4.820812-6 1.588329-1 4.851084-6 1.629982-1 4.998284-6 1.398042-1 5.031366-6 1.291780-1 5.074982-6 1.207544-1 5.190643-6 1.172820-1 5.550794-6 8.563679-2 5.857364-6 6.485525-2 6.173800-6 4.860612-2 6.456542-6 3.742472-2 6.739122-6 2.864698-2 7.003868-6 2.215508-2 7.288583-6 1.665810-2 7.552256-6 1.265818-2 7.818407-6 9.475391-3 8.037239-6 7.385943-3 8.270000-6 5.599830-3 8.461909-6 4.410739-3 8.694858-6 3.264173-3 8.863496-6 2.606724-3 9.027671-6 2.089269-3 9.204678-6 1.649789-3 9.354933-6 1.360906-3 9.497500-6 1.151722-3 9.645000-6 9.950539-4 9.805000-6 8.866298-4 9.980000-6 8.327289-4 1.016625-5 8.411920-4 1.033000-5 8.977466-4 1.051065-5 1.007012-3 1.072500-5 1.192032-3 1.102819-5 1.538371-3 1.131965-5 1.948979-3 1.184729-5 2.840314-3 1.284658-5 4.827696-3 1.671149-5 1.309153-2 1.995262-5 1.898895-2 2.293040-5 2.341572-2 2.300486-5 1.253352+0 2.304328-5 7.545635+0 2.310891-5 1.900102+1 2.311811-5 2.071108+1 2.317474-5 3.699835+1 2.323136-5 6.115505+1 2.329738-5 9.991985+1 2.346139-5 2.103859+2 2.351967-5 2.340002+2 2.357929-5 2.392623+2 2.363454-5 2.263615+2 2.369957-5 1.923108+2 2.385486-5 8.591342+1 2.391084-5 5.538554+1 2.396746-5 3.284884+1 2.402409-5 1.782607+1 2.405920-5 1.197408+1 2.413734-5 2.510925-2 2.419243-5 2.520434-2 2.431292-5 9.401226+0 2.437200-5 1.700785+1 2.443248-5 2.884870+1 2.449720-5 4.642819+1 2.467452-5 1.041004+2 2.474390-5 1.175579+2 2.480110-5 1.204407+2 2.485783-5 1.148798+2 2.491906-5 1.005548+2 2.508563-5 4.669382+1 2.514518-5 3.110480+1 2.520473-5 1.968340+1 2.526427-5 1.229075+1 2.538337-5 3.451999+0 2.543399-5 3.765940+0 2.548132-5 4.173982+0 2.555660-5 5.207872+0 2.574440-5 8.873112+0 2.580595-5 9.715711+0 2.585619-5 1.010808+1 2.592944-5 9.761142+0 2.606477-5 7.990897+0 2.612258-5 7.155253+0 2.617952-5 6.566502+0 2.624014-5 6.292144+0 2.631129-5 6.368329+0 2.654332-5 7.429485+0 2.658834-5 7.685931+0 2.681192-5 8.494214+0 2.697726-5 9.621303+0 2.701484-5 9.961435+0 2.712249-5 1.046687+1 2.723975-5 1.021031+1 2.747586-5 8.604548+0 2.761479-5 8.269478+0 2.792635-5 8.255732+0 2.916938-5 6.971399+0 3.118692-5 5.524002+0 3.314888-5 4.501628+0 3.526281-5 3.666045+0 3.773145-5 2.930774+0 4.036222-5 2.342152+0 4.250128-5 1.977770+0 4.299599-5 1.973637+0 4.350995-5 2.016317+0 4.371554-5 1.963482+0 4.427968-5 1.754187+0 4.456853-5 1.715252+0 4.522712-5 1.692902+0 4.744777-5 1.471300+0 5.052548-5 1.250283+0 5.368332-5 1.088408+0 5.800000-5 9.413512-1 6.300000-5 8.413102-1 6.845211-5 7.843939-1 7.680000-5 7.568504-1 9.150000-5 7.791046-1 1.367179-4 8.974853-1 1.377353-4 9.661704-1 1.384099-4 1.078641+0 1.402315-4 1.595190+0 1.411921-4 1.755678+0 1.421178-4 1.818991+0 1.444600-4 1.778658+0 1.462852-4 1.843073+0 1.487500-4 2.043753+0 1.511101-4 2.397316+0 1.536846-4 2.984667+0 1.571243-4 4.021765+0 1.714150-4 8.938376+0 1.800000-4 1.134289+1 1.883649-4 1.308408+1 2.040000-4 1.550663+1 2.240000-4 1.753521+1 2.508705-4 1.865227+1 2.596275-4 1.881248+1 2.621588-4 1.973518+1 2.654499-4 2.264781+1 2.667327-4 2.282954+1 2.704932-4 2.095297+1 2.725633-4 2.089433+1 2.768604-4 2.230381+1 2.836035-4 2.135174+1 3.443079-4 2.044420+1 3.509687-4 2.087652+1 5.387014-4 1.492535+1 6.535371-4 1.216397+1 7.908869-4 9.740644+0 9.231661-4 8.043421+0 1.082052-3 6.546728+0 1.257601-3 5.349220+0 1.455443-3 4.368420+0 1.691063-3 3.527388+0 1.892118-3 3.002672+0 1.901642-3 3.311575+0 1.906090-3 3.578909+0 1.910747-3 4.031544+0 1.916260-3 4.853195+0 1.923171-3 6.305140+0 1.934927-3 9.271258+0 1.939390-3 1.024641+1 1.944269-3 1.103296+1 1.950946-3 1.159562+1 1.961809-3 1.166728+1 1.976243-3 1.155974+1 1.985245-3 1.189559+1 2.009676-3 1.446878+1 2.019084-3 1.499888+1 2.041738-3 1.476857+1 2.156620-3 1.359697+1 2.184973-3 1.384103+1 2.221867-3 1.471510+1 2.649263-3 1.146231+1 3.059286-3 9.218867+0 3.509859-3 7.444039+0 4.043140-3 5.937533+0 4.623004-3 4.766923+0 5.308845-3 3.785105+0 6.051666-3 3.032722+0 6.903391-3 2.419077+0 7.612395-3 2.041799+0 8.508503-3 1.679712+0 9.533981-3 1.374187+0 1.071036-2 1.116814+0 1.199409-2 9.111382-1 1.351734-2 7.340766-1 1.528789-2 5.866029-1 1.568683-2 5.665520-1 1.575764-2 5.903855-1 1.579978-2 6.304132-1 1.584563-2 7.158503-1 1.588082-2 8.238107-1 1.591999-2 9.986876-1 1.596656-2 1.287766+0 1.603274-2 1.826936+0 1.614480-2 2.793010+0 1.621868-2 3.238467+0 1.630354-2 3.492709+0 1.645358-2 3.563975+0 1.914093-2 2.806331+0 2.186102-2 2.255206+0 2.491907-2 1.808933+0 2.836798-2 1.443708+0 3.219228-2 1.156568+0 3.576551-2 9.574844-1 4.073803-2 7.560019-1 4.492569-2 6.311407-1 5.020263-2 5.133595-1 5.558850-2 4.235135-1 6.174830-2 3.470576-1 6.783186-2 2.896272-1 7.659174-2 2.291399-1 8.536955-2 1.853739-1 9.523419-2 1.497261-1 1.067346-1 1.196456-1 1.180831-1 9.802007-2 1.290726-1 8.224743-2 1.412130-1 6.889438-2 1.558709-1 5.667843-2 1.730315-1 4.613834-2 1.934048-1 3.709977-2 2.151127-1 3.018685-2 2.359867-1 2.524251-2 2.625581-1 2.061825-2 2.877812-1 1.737435-2 3.142978-1 1.479109-2 3.494529-1 1.222649-2 3.861168-1 1.026951-2 4.315191-1 8.509237-3 4.794919-1 7.171986-3 5.332428-1 6.080893-3 5.905409-1 5.226523-3 6.456542-1 4.607250-3 7.099864-1 4.056398-3 8.198794-1 3.399625-3 9.549926-1 2.856457-3 1.120601+0 2.413658-3 1.347258+0 1.983356-3 1.619761+0 1.629767-3 1.947381+0 1.339215-3 2.341267+0 1.100463-3 2.814822+0 9.042743-4 3.384160+0 7.430620-4 4.068655+0 6.105904-4 4.891600+0 5.017355-4 5.880996+0 4.122871-4 7.070513+0 3.387853-4 8.500626+0 2.783873-4 9.760024+0 2.402665-4 1.000000+1 4.844814-4 1 38000 7 0 8.762000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-3.742425+1 1.603244-6-3.554661+1 1.833360-6-3.315972+1 1.952601-6-3.021909+1 2.016735-6-2.709271+1 2.057556-6-2.363929+1 2.083943-6-2.005608+1 2.098827-6-1.711206+1 2.111328-6-1.369120+1 2.117416-6-1.149918+1 2.122500-6-9.227696+0 2.125360-6-7.669490+0 2.128117-6-5.804153+0 2.129692-6-4.309558+0 2.130838-6-3.400233+0 2.136897-6 8.169074-1 2.138207-6 1.795061+0 2.144758-6 7.412989+0 2.145413-6 8.063035+0 2.151799-6 1.311769+1 2.155893-6 1.547935+1 2.158759-6 1.632632+1 2.161789-6 1.655044+1 2.164736-6 1.582208+1 2.168339-6 1.366537+1 2.170304-6 1.200607+1 2.171614-6 1.041675+1 2.175053-6 6.676461+0 2.175626-6 5.943403+0 2.176527-6 4.487239+0 2.186680-6-6.386422+0 2.187008-6-6.907844+0 2.188237-6-8.250551+0 2.190329-6-9.848189+0 2.191930-6-1.071001+1 2.194219-6-1.146362+1 2.196609-6-1.151405+1 2.197489-6-1.111800+1 2.201173-6-9.977483+0 2.202094-6-9.418919+0 2.202729-6-8.736590+0 2.204418-6-7.805105+0 2.206836-6-6.772232+0 2.207440-6-6.368090+0 2.207807-6-5.940763+0 2.208126-6-5.708723+0 2.208725-6-5.437726+0 2.209774-6-5.214793+0 2.213255-6-5.132181+0 2.213905-6-5.280075+0 2.215086-6-5.906439+0 2.216157-6-6.762480+0 2.217914-6-8.673533+0 2.219809-6-1.141448+1 2.221492-6-1.448546+1 2.223351-6-1.880893+1 2.227646-6-3.144069+1 2.229203-6-3.756824+1 2.229358-6-3.779994+1 2.233979-6-2.068297+1 2.234390-6-1.880152+1 2.239758-6 2.167893+0 2.239925-6 3.008460+0 2.240250-6 4.391977+0 2.240860-6 6.721885+0 2.241926-6 1.041419+1 2.245125-6 2.073187+1 2.246090-6 2.381028+1 2.248016-6 2.861861+1 2.251164-6 3.497131+1 2.254539-6 3.918539+1 2.258209-6 4.084695+1 2.261228-6 4.027510+1 2.265924-6 3.697503+1 2.271963-6 2.946311+1 2.279176-6 1.967015+1 2.285382-6 1.282402+1 2.287395-6 1.024317+1 2.288896-6 7.695285+0 2.289725-6 6.622895+0 2.291382-6 4.807906+0 2.293035-6 3.254684+0 2.294686-6 1.877921+0 2.296333-6 6.350868-1 2.297977-6-5.000054-1 2.299618-6-1.545345+0 2.302893-6-3.418287+0 2.306155-6-5.056104+0 2.309405-6-6.507618+0 2.315866-6-8.980387+0 2.325463-6-1.191635+1 2.338098-6-1.488301+1 2.356700-6-1.808788+1 2.386748-6-2.159138+1 2.432571-6-2.490346+1 2.506208-6-2.792716+1 2.647928-6-3.077679+1 2.915122-6-3.299533+1 3.653828-6-3.585281+1 3.734088-6-3.752540+1 3.764715-6-3.537902+1 3.797233-6-3.238147+1 3.827960-6-3.227244+1 3.907460-6-3.404241+1 4.311297-6-3.543163+1 4.387916-6-3.449486+1 4.599400-6-3.515527+1 1.376982-5-3.810845+1 1.727649-5-3.527000+1 1.906771-5-3.208310+1 2.012138-5-2.869625+1 2.089612-5-2.456985+1 2.135896-5-2.078384+1 2.171650-5-1.661480+1 2.193018-5-1.328067+1 2.210624-5-9.813226+0 2.220604-5-7.450615+0 2.229376-5-5.065473+0 2.237085-5-2.673791+0 2.240582-5-1.480262+0 2.247139-5 9.734858-1 2.252877-5 3.391531+0 2.257897-5 5.757059+0 2.262290-5 8.055845+0 2.269497-5 1.240186+1 2.275015-5 1.634698+1 2.281211-5 2.164889+1 2.286386-5 2.706722+1 2.291792-5 3.423265+1 2.297345-5 4.418903+1 2.300094-5 5.086791+1 2.301807-5 5.630962+1 2.311811-5 8.018707+1 2.318181-5 9.736255+1 2.325082-5 1.118548+2 2.330619-5 1.159250+2 2.334982-5 1.108490+2 2.338752-5 1.008850+2 2.341691-5 8.917662+1 2.343836-5 7.751595+1 2.345785-5 6.393056+1 2.349955-5 3.289854+1 2.351074-5 2.326292+1 2.351625-5 1.736264+1 2.351967-5 1.402517+1 2.352610-5 8.247793+0 2.353735-5-1.359841+0 2.355212-5-1.391577+1 2.356509-5-2.570229+1 2.357143-5-3.262951+1 2.357833-5-3.981101+1 2.359491-5-2.519731+1 2.361849-5-5.417954+0 2.362311-5-1.297288+0 2.362542-5 8.963911-1 2.362657-5 2.065750+0 2.362873-5 4.549284+0 2.363071-5 6.514555+0 2.363454-5 9.955347+0 2.364488-5 1.818951+1 2.366109-5 2.958295+1 2.369957-5 5.457075+1 2.372679-5 6.770044+1 2.375622-5 7.780785+1 2.378857-5 8.510427+1 2.382652-5 8.877338+1 2.385486-5 8.686030+1 2.390465-5 7.855473+1 2.396746-5 6.125094+1 2.405920-5 3.357836+1 2.410804-5 2.008005+1 2.412269-5 1.561493+1 2.413367-5 1.177815+1 2.413906-5 9.344925+0 2.414239-5 8.017333+0 2.414865-5 5.795686+0 2.415959-5 2.261643+0 2.418833-5-6.446666+0 2.419502-5-8.747185+0 2.420473-5-1.161271+1 2.422799-5-1.753313+1 2.427583-5-2.802377+1 2.433165-5-4.015338+1 2.439241-5-2.785241+1 2.444285-5-1.915629+1 2.445911-5-1.706442+1 2.449720-5-1.290867+1 2.451684-5-1.183967+1 2.453400-5-1.161158+1 2.455756-5-1.217822+1 2.457913-5-1.355005+1 2.460444-5-1.617540+1 2.462569-5-1.931920+1 2.464985-5-2.418078+1 2.466731-5-2.908900+1 2.467452-5-3.174308+1 2.470591-5-3.936121+1 2.473310-5-2.980485+1 2.474714-5-2.354962+1 2.477979-5-1.106761+1 2.478776-5-7.804499+0 2.479374-5-5.098227+0 2.479756-5-3.017391+0 2.480110-5-1.365157+0 2.485418-5 1.961571+1 2.486468-5 2.397251+1 2.491906-5 4.169584+1 2.495093-5 4.915827+1 2.499742-5 5.598339+1 2.504624-5 5.921583+1 2.508563-5 5.857851+1 2.514518-5 5.358362+1 2.520473-5 4.588601+1 2.529101-5 3.377144+1 2.537303-5 2.390067+1 2.539543-5 2.010249+1 2.543399-5 1.558259+1 2.548132-5 1.133747+1 2.549957-5 9.905761+0 2.552809-5 7.926488+0 2.557572-5 5.007630+0 2.560439-5 3.558989+0 2.563306-5 2.296052+0 2.566090-5 1.231493+0 2.568177-5 5.367363-1 2.571308-5-3.426225-1 2.572878-5-7.026391-1 2.574440-5-9.790900-1 2.577517-5-1.443407+0 2.580595-5-1.777676+0 2.583107-5-1.948026+0 2.585619-5-2.006618+0 2.592944-5-2.279488+0 2.596889-5-2.531957+0 2.600834-5-2.923955+0 2.606477-5-3.669940+0 2.609337-5-4.152915+0 2.612258-5-4.747940+0 2.631129-5-9.078239+0 2.639719-5-1.057284+1 2.654332-5-1.247731+1 2.686970-5-1.514645+1 2.697726-5-1.563833+1 2.720081-5-1.484333+1 2.733896-5-1.449426+1 2.752881-5-1.534170+1 2.777025-5-1.646951+1 2.916938-5-1.906897+1 3.162278-5-2.153464+1 3.602122-5-2.371350+1 4.522712-5-2.603448+1 6.662160-5-2.839206+1 1.203837-4-3.200979+1 1.374112-4-3.454252+1 1.494000-4-3.668569+1 1.601427-4-3.908372+1 1.737500-4-3.913398+1 2.446265-4-3.014482+1 2.580000-4-2.968435+1 2.634689-4-3.094821+1 2.654499-4-2.962086+1 2.680720-4-2.709188+1 2.704932-4-2.690791+1 2.743757-4-2.742620+1 2.803005-4-2.519374+1 3.206418-4-2.115570+1 3.419002-4-1.983755+1 3.485524-4-1.940262+1 3.600000-4-1.800465+1 3.957771-4-1.538754+1 4.460441-4-1.286175+1 4.995385-4-1.101216+1 5.583554-4-9.635974+0 6.273357-4-8.570332+0 7.209540-4-7.704551+0 8.328869-4-7.202104+0 9.744285-4-7.017749+0 1.137224-3-7.176273+0 1.323948-3-7.718378+0 1.517131-3-8.719728+0 1.657701-3-9.926426+0 1.755173-3-1.129141+1 1.818076-3-1.272417+1 1.861234-3-1.434136+1 1.887376-3-1.605987+1 1.909065-3-1.887751+1 1.923171-3-2.074435+1 1.933328-3-2.087186+1 1.944269-3-1.951676+1 1.959943-3-1.731949+1 1.971536-3-1.681017+1 1.999322-3-1.699008+1 2.014780-3-1.652495+1 2.056188-3-1.317492+1 2.086158-3-1.174123+1 2.130787-3-1.047966+1 2.167570-3-1.003995+1 2.199690-3-9.912581+0 2.232227-3-8.707039+0 2.265803-3-7.602445+0 2.319983-3-6.452545+0 2.396006-3-5.296560+0 2.489211-3-4.261477+0 2.582306-3-3.480648+0 2.700941-3-2.713149+0 2.827637-3-2.101187+0 2.962405-3-1.598745+0 3.089712-3-1.227978+0 3.197097-3-9.800985-1 3.328558-3-7.309682-1 3.415675-3-5.952201-1 3.559641-3-4.126452-1 3.682552-3-2.920140-1 3.770968-3-2.194643-1 3.893952-3-1.362955-1 3.963921-3-9.358517-2 4.052820-3-5.048307-2 4.083443-3-3.767280-2 4.133225-3-1.822516-2 4.183820-3-3.341343-4 4.187295-3 7.994634-4 4.231974-3 1.407781-2 4.289919-3 2.937048-2 4.338248-3 4.096494-2 4.412528-3 5.599849-2 4.526695-3 7.522360-2 4.684087-3 9.158458-2 4.826384-3 9.689292-2 4.983534-3 9.716208-2 5.173089-3 9.065285-2 5.308845-3 8.262505-2 5.501344-3 6.349290-2 5.685965-3 3.985757-2 5.932615-3 5.397303-3 5.971585-3 3.415925-5 5.982394-3-1.424668-3 6.051666-3-1.149532-2 6.226234-3-3.895671-2 6.453639-3-7.690511-2 7.079458-3-1.864803-1 1.110893-2-9.235433-1 1.245966-2-1.212933+0 1.351734-2-1.507326+0 1.429606-2-1.813151+0 1.481702-2-2.110659+0 1.517453-2-2.406803+0 1.546032-2-2.762926+0 1.565624-2-3.157076+0 1.578864-2-3.612940+0 1.599881-2-4.628498+0 1.606760-2-4.722650+0 1.614480-2-4.543517+0 1.638562-2-3.274301+0 1.649742-2-2.878195+0 1.667494-2-2.461873+0 1.688705-2-2.119289+0 1.722281-2-1.728905+0 1.763823-2-1.387855+0 1.809894-2-1.111317+0 1.856735-2-8.972038-1 1.899984-2-7.372914-1 1.956609-2-5.687907-1 2.004301-2-4.510580-1 2.053716-2-3.484816-1 2.106881-2-2.568224-1 2.134887-2-2.146510-1 2.186102-2-1.469733-1 2.238721-2-8.747669-2 2.290868-2-3.697887-2 2.344229-2 7.285523-3 2.385493-2 3.634449-2 2.447654-2 7.582279-2 2.512512-2 1.108448-1 2.581517-2 1.420612-1 2.644025-2 1.646067-1 2.771999-2 1.993548-1 2.904178-2 2.232685-1 3.134360-2 2.478323-1 3.396830-2 2.565553-1 3.826736-2 2.473109-1 4.492569-2 2.117859-1 5.779884-2 1.356768-1 6.538322-2 9.766163-2 7.257778-2 6.697323-2 7.940629-2 4.232095-2 8.536955-2 2.364791-2 8.925714-2 1.277862-2 9.280809-2 3.580343-3 9.406704-2 5.634025-4 9.523419-2-2.207960-3 9.772993-2-7.842376-3 1.018021-1-1.653832-2 1.067346-1-2.612162-2 1.154942-1-4.098924-2 1.247631-1-5.436838-2 1.368584-1-6.867604-2 1.558709-1-8.604643-2 1.831004-1-1.036565-1 2.221871-1-1.200233-1 2.877812-1-1.355377-1 4.005135-1-1.478960-1 6.456542-1-1.568824-1 1.546860+0-1.617584-1 4.671441+0-1.626591-1 1.000000+1-1.626979-1 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.093887-1 1.098213-6 1.715202-1 1.152000-6 2.174855-1 1.199305-6 2.665651-1 1.267836-6 3.565622-1 1.310212-6 4.253325-1 1.349940-6 5.011658-1 1.387184-6 5.840308-1 1.422101-6 6.738112-1 1.454836-6 7.702373-1 1.485525-6 8.730820-1 1.514295-6 9.821958-1 1.541268-6 1.097298+0 1.566554-6 1.218039+0 1.590261-6 1.344034+0 1.633321-6 1.610261+0 1.652854-6 1.750821+0 1.689480-6 2.050754+0 1.721527-6 2.359489+0 1.749568-6 2.674503+0 1.774104-6 2.992639+0 1.800000-6 3.378471+0 1.814358-6 3.618256+0 1.830795-6 3.921723+0 1.845178-6 4.216694+0 1.870347-6 4.806900+0 1.889224-6 5.326229+0 1.903382-6 5.773793+0 1.914000-6 6.150328+0 1.929928-6 6.796107+0 1.945855-6 7.569826+0 1.955434-6 8.122886+0 1.965013-6 8.772025+0 1.969803-6 9.145587+0 1.974592-6 9.562314+0 1.979382-6 1.003328+1 1.984171-6 1.057257+1 1.988961-6 1.119703+1 1.993750-6 1.192513+1 1.998539-6 1.277449+1 2.003329-6 1.375810+1 2.011053-6 1.562954+1 2.018945-6 1.782086+1 2.023903-6 1.923745+1 2.028860-6 2.057333+1 2.033817-6 2.171215+1 2.035056-6 2.195173+1 2.038774-6 2.253297+1 2.041872-6 2.283616+1 2.043731-6 2.292987+1 2.044971-6 2.295359+1 2.046830-6 2.292949+1 2.048688-6 2.283286+1 2.051167-6 2.259149+1 2.053646-6 2.222504+1 2.057364-6 2.145829+1 2.058603-6 2.115060+1 2.063560-6 1.971048+1 2.069137-6 1.782943+1 2.073474-6 1.631109+1 2.083389-6 1.316162+1 2.087726-6 1.204891+1 2.093927-6 1.076969+1 2.098298-6 1.005735+1 2.103455-6 9.363946+0 2.109087-6 8.726814+0 2.116822-6 7.985306+0 2.119242-6 7.784134+0 2.124463-6 7.416905+0 2.127199-6 7.270466+0 2.129433-6 7.179327+0 2.132365-6 7.103260+0 2.134251-6 7.082522+0 2.136136-6 7.084925+0 2.138916-6 7.131724+0 2.142724-6 7.279254+0 2.143993-6 7.349189+0 2.149071-6 7.723488+0 2.151870-6 7.986472+0 2.157115-6 8.560039+0 2.167241-6 9.818964+0 2.172850-6 1.052379+1 2.178095-6 1.115951+1 2.183340-6 1.177116+1 2.193830-6 1.297350+1 2.204320-6 1.427825+1 2.214810-6 1.581036+1 2.235789-6 1.963013+1 2.268986-6 2.712638+1 2.297125-6 3.516030+1 2.309890-6 3.961271+1 2.321857-6 4.439346+1 2.333076-6 4.952313+1 2.343594-6 5.502029+1 2.353454-6 6.090164+1 2.362699-6 6.718218+1 2.371365-6 7.387542+1 2.379490-6 8.099373+1 2.387107-6 8.854849+1 2.394248-6 9.655031+1 2.400943-6 1.050089+2 2.407219-6 1.139331+2 2.413103-6 1.233310+2 2.418619-6 1.332103+2 2.423790-6 1.435795+2 2.428639-6 1.544492+2 2.433184-6 1.658325+2 2.441706-6 1.910867+2 2.449163-6 2.187632+2 2.455688-6 2.489569+2 2.461397-6 2.815980+2 2.466393-6 3.163876+2 2.470764-6 3.528055+2 2.474589-6 3.901786+2 2.477935-6 4.277743+2 2.480864-6 4.648875+2 2.483426-6 5.009024+2 2.487910-6 5.726252+2 2.502132-6 8.823685+2 2.507519-6 1.032575+3 2.512137-6 1.173120+3 2.513676-6 1.221847+3 2.519833-6 1.422144+3 2.520602-6 1.447420+3 2.525989-6 1.622083+3 2.528106-6 1.688313+3 2.532916-6 1.829748+3 2.536283-6 1.918614+3 2.539842-6 2.001213+3 2.543594-6 2.074088+3 2.547538-6 2.134269+3 2.551386-6 2.177402+3 2.556100-6 2.212665+3 2.567548-6 2.268842+3 2.570392-6 2.291281+3 2.576215-6 2.370763+3 2.579165-6 2.434897+3 2.582144-6 2.520001+3 2.585306-6 2.635368+3 2.588469-6 2.778409+3 2.589767-6 2.845395+3 2.593537-6 3.066929+3 2.597348-6 3.330010+3 2.607442-6 4.172084+3 2.611256-6 4.518356+3 2.614912-6 4.847156+3 2.618179-6 5.128522+3 2.620289-6 5.299747+3 2.624118-6 5.581465+3 2.627234-6 5.775933+3 2.630379-6 5.934437+3 2.633033-6 6.035191+3 2.639262-6 6.141891+3 2.640991-6 6.138049+3 2.645784-6 6.051872+3 2.648795-6 5.943303+3 2.651713-6 5.801126+3 2.654925-6 5.606760+3 2.658038-6 5.385422+3 2.660805-6 5.165892+3 2.663473-6 4.937825+3 2.667525-6 4.569078+3 2.670687-6 4.269607+3 2.674244-6 3.928135+3 2.677011-6 3.663687+3 2.683336-6 3.079655+3 2.685510-6 2.889334+3 2.689660-6 2.545486+3 2.694404-6 2.188047+3 2.701281-6 1.742727+3 2.712345-6 1.203264+3 2.717749-6 1.009757+3 2.720419-6 9.284592+2 2.723069-6 8.561251+2 2.728326-6 7.342015+2 2.733501-6 6.378061+2 2.738595-6 5.612183+2 2.743610-6 4.998436+2 2.748546-6 4.500964+2 2.753405-6 4.092397+2 2.758189-6 3.752151+2 2.762897-6 3.464890+2 2.767532-6 3.219220+2 2.776657-6 2.818052+2 2.785497-6 2.506838+2 2.794061-6 2.258157+2 2.802357-6 2.054961+2 2.810393-6 1.886024+2 2.818179-6 1.743584+2 2.825721-6 1.622054+2 2.833028-6 1.517300+2 2.847185-6 1.343859+2 2.860456-6 1.209270+2 2.872899-6 1.102269+2 2.884563-6 1.015558+2 2.895499-6 9.441623+1 2.905751-6 8.845567+1 2.924974-6 7.884167+1 2.941794-6 7.177519+1 2.956511-6 6.642051+1 2.969389-6 6.226588+1 2.991925-6 5.597481+1 3.008827-6 5.192781+1 3.034180-6 4.671158+1 3.067064-6 4.113630+1 3.097187-6 3.695101+1 3.127309-6 3.345004+1 3.164963-6 2.980648+1 3.199891-6 2.698971+1 3.238983-6 2.433476+1 3.285894-6 2.168475+1 3.332804-6 1.949364+1 3.377361-6 1.773132+1 3.429823-6 1.593224+1 3.476127-6 1.456995+1 3.615040-6 1.109158+1 3.664604-6 9.854971+0 3.673580-6 9.670046+0 3.682555-6 9.514918+0 3.691531-6 9.396104+0 3.700040-6 9.320270+0 3.713504-6 9.270992+0 3.727434-6 9.288836+0 3.745386-6 9.342341+0 3.759358-6 9.348292+0 3.774348-6 9.287045+0 3.791170-6 9.144820+0 3.819126-6 8.866196+0 3.856180-6 8.585204+0 3.868177-6 8.481651+0 3.883970-6 8.303386+0 3.892568-6 8.183515+0 3.901786-6 8.038553+0 3.921024-6 7.696039+0 3.948815-6 7.165561+0 4.002896-6 6.176187+0 4.043457-6 5.439877+0 4.073878-6 4.842054+0 4.096694-6 4.340913+0 4.113805-6 3.920552+0 4.126639-6 3.575178+0 4.136264-6 3.300020+0 4.143483-6 3.087238+0 4.148898-6 2.926405+0 4.165150-6 2.466719+0 4.170276-6 2.341971+0 4.175402-6 2.235480+0 4.179284-6 2.170876+0 4.181226-6 2.144856+0 4.183167-6 2.123582+0 4.185654-6 2.103969+0 4.191403-6 2.096676+0 4.194277-6 2.116045+0 4.197151-6 2.152996+0 4.199650-6 2.200755+0 4.202149-6 2.264265+0 4.204279-6 2.331692+0 4.205566-6 2.378699+0 4.207819-6 2.472852+0 4.212887-6 2.743832+0 4.215690-6 2.931399+0 4.219587-6 3.240067+0 4.223809-6 3.640802+0 4.228459-6 4.165960+0 4.240977-6 6.036069+0 4.247096-6 7.190652+0 4.252535-6 8.340097+0 4.257389-6 9.453820+0 4.262043-6 1.058807+1 4.265992-6 1.159217+1 4.270284-6 1.271548+1 4.274679-6 1.388802+1 4.276684-6 1.442618+1 4.281672-6 1.576239+1 4.286309-6 1.698494+1 4.288524-6 1.755650+1 4.292593-6 1.857713+1 4.296958-6 1.961759+1 4.300920-6 2.050184+1 4.306463-6 2.162371+1 4.309106-6 2.210509+1 4.317553-6 2.338426+1 4.321550-6 2.384163+1 4.325366-6 2.418547+1 4.329182-6 2.443774+1 4.333988-6 2.462585+1 4.337912-6 2.467467+1 4.340856-6 2.465161+1 4.345271-6 2.452569+1 4.349686-6 2.429723+1 4.356500-6 2.376507+1 4.358772-6 2.354487+1 4.366068-6 2.271737+1 4.368501-6 2.240711+1 4.378797-6 2.096040+1 4.389093-6 1.939703+1 4.401476-6 1.751987+1 4.425853-6 1.427665+1 4.438271-6 1.294990+1 4.450688-6 1.183673+1 4.464055-6 1.084215+1 4.471768-6 1.034829+1 4.486884-6 9.519034+0 4.497560-6 9.027343+0 4.507964-6 8.613599+0 4.518952-6 8.241197+0 4.525819-6 8.040031+0 4.532686-6 7.861675+0 4.543370-6 7.625875+0 4.554053-6 7.434152+0 4.563471-6 7.294254+0 4.585449-6 7.030891+0 4.604401-6 6.820368+0 4.616195-6 6.678885+0 4.628049-6 6.525321+0 4.674898-6 5.895820+0 4.706585-6 5.549099+0 4.720657-6 5.404069+0 4.732792-6 5.269477+0 4.744134-6 5.129582+0 4.759757-6 4.913035+0 4.778981-6 4.631418+0 4.790776-6 4.477809+0 4.801754-6 4.371776+0 4.809081-6 4.330910+0 4.816518-6 4.320540+0 4.822244-6 4.336987+0 4.827969-6 4.376589+0 4.831686-6 4.415251+0 4.837262-6 4.492764+0 4.842837-6 4.593645+0 4.848959-6 4.730476+0 4.857600-6 4.966327+0 4.867323-6 5.281351+0 4.886480-6 5.987169+0 4.900133-6 6.483336+0 4.903092-6 6.583019+0 4.911968-6 6.855771+0 4.915704-6 6.956593+0 4.921308-6 7.089955+0 4.927390-6 7.208456+0 4.935346-6 7.319797+0 4.940601-6 7.365634+0 4.948575-6 7.393772+0 4.955532-6 7.379596+0 4.969285-6 7.258416+0 4.980521-6 7.086130+0 4.993093-6 6.840621+0 5.016063-6 6.327428+0 5.044257-6 5.720340+0 5.054126-6 5.534939+0 5.065241-6 5.349248+0 5.075839-6 5.198032+0 5.083653-6 5.104290+0 5.093150-6 5.012140+0 5.102862-6 4.943918+0 5.114673-6 4.897335+0 5.124109-6 4.888295+0 5.131992-6 4.898628+0 5.142460-6 4.934274+0 5.152249-6 4.985455+0 5.178375-6 5.157887+0 5.190849-6 5.230882+0 5.197814-6 5.262619+0 5.212484-6 5.301392+0 5.222990-6 5.303660+0 5.231110-6 5.291399+0 5.240529-6 5.263941+0 5.263227-6 5.159905+0 5.288134-6 5.035865+0 5.307385-6 4.964509+0 5.330924-6 4.915370+0 5.392852-6 4.864820+0 5.472943-6 4.759429+0 5.609900-6 4.568241+0 5.695065-6 4.451414+0 6.010833-6 4.103454+0 6.474272-6 3.694159+0 6.790650-6 3.468270+0 7.237307-6 3.213563+0 7.775805-6 2.977726+0 8.390056-6 2.773918+0 9.293466-6 2.561598+0 1.006278-5 2.448635+0 1.091000-5 2.362413+0 1.224536-5 2.261639+0 1.280000-5 2.215873+0 1.341831-5 2.151381+0 1.380378-5 2.101965+0 1.418962-5 2.048022+0 1.445783-5 2.006309+0 1.492580-5 1.926788+0 1.544694-5 1.836897+0 1.565658-5 1.807578+0 1.580061-5 1.812151+0 1.594273-5 1.852224+0 1.620000-5 1.980488+0 1.640699-5 2.113338+0 1.659587-5 2.259275+0 1.684794-5 2.492454+0 1.708936-5 2.760810+0 1.737334-5 3.140015+0 1.765000-5 3.583970+0 1.791514-5 4.092015+0 1.830168-5 4.985830+0 1.855000-5 5.673948+0 1.883827-5 6.608423+0 1.902361-5 7.294525+0 1.927525-5 8.352333+0 1.946808-5 9.273536+0 1.998788-5 1.231025+1 2.036592-5 1.515904+1 2.064405-5 1.767872+1 2.081917-5 1.949685+1 2.115318-5 2.356492+1 2.140312-5 2.720795+1 2.162719-5 3.099314+1 2.181799-5 3.468858+1 2.203687-5 3.956037+1 2.226426-5 4.546704+1 2.241946-5 5.009256+1 2.265500-5 5.821566+1 2.287606-5 6.728786+1 2.308681-5 7.756605+1 2.328439-5 8.899469+1 2.346961-5 1.016629+2 2.364327-5 1.156708+2 2.380606-5 1.311034+2 2.398833-5 1.516289+2 2.410177-5 1.665212+2 2.423591-5 1.867068+2 2.436167-5 2.086837+2 2.447957-5 2.325428+2 2.459010-5 2.583734+2 2.469372-5 2.862636+2 2.479086-5 3.162995+2 2.488194-5 3.485640+2 2.496732-5 3.831378+2 2.504736-5 4.200993+2 2.512241-5 4.595255+2 2.519276-5 5.014921+2 2.525871-5 5.460726+2 2.532055-5 5.933376+2 2.537851-5 6.433559+2 2.543286-5 6.961963+2 2.548381-5 7.519322+2 2.553157-5 8.106463+2 2.557635-5 8.724348+2 2.561833-5 9.374084+2 2.569705-5 1.082486+3 2.576592-5 1.242788+3 2.582618-5 1.418950+3 2.587892-5 1.610671+3 2.592506-5 1.816407+3 2.596543-5 2.033409+3 2.600075-5 2.258030+3 2.603167-5 2.486179+3 2.605871-5 2.713762+3 2.610604-5 3.185321+3 2.614154-5 3.610078+3 2.618813-5 4.275967+3 2.634528-5 7.665099+3 2.639340-5 9.112520+3 2.644186-5 1.077128+4 2.648145-5 1.226759+4 2.649465-5 1.279198+4 2.655954-5 1.552306+4 2.656766-5 1.587861+4 2.662918-5 1.862558+4 2.665362-5 1.972018+4 2.667695-5 2.075218+4 2.670836-5 2.210392+4 2.673675-5 2.326984+4 2.675849-5 2.411441+4 2.678955-5 2.523105+4 2.682200-5 2.626115+4 2.686180-5 2.729857+4 2.689410-5 2.793282+4 2.693599-5 2.844933+4 2.696555-5 2.859395+4 2.699962-5 2.852906+4 2.703132-5 2.824664+4 2.705102-5 2.796560+4 2.708331-5 2.733760+4 2.711041-5 2.665903+4 2.712094-5 2.636061+4 2.715656-5 2.521900+4 2.718547-5 2.415925+4 2.721725-5 2.288025+4 2.724546-5 2.166453+4 2.726813-5 2.064616+4 2.729789-5 1.927086+4 2.732817-5 1.784593+4 2.734634-5 1.698757+4 2.737475-5 1.565253+4 2.740316-5 1.433929+4 2.743967-5 1.270542+4 2.746806-5 1.149055+4 2.753701-5 8.801321+3 2.755960-5 8.012062+3 2.761117-5 6.395923+3 2.766032-5 5.102605+3 2.770044-5 4.226006+3 2.780414-5 2.676138+3 2.782499-5 2.482476+3 2.783688-5 2.388710+3 2.784581-5 2.326218+3 2.786121-5 2.233851+3 2.787257-5 2.178144+3 2.790679-5 2.072055+3 2.792176-5 2.053880+3 2.793644-5 2.052179+3 2.794260-5 2.056119+3 2.801051-5 2.272301+3 2.802052-5 2.329398+3 2.808002-5 2.787992+3 2.812847-5 3.293666+3 2.818198-5 3.959596+3 2.821616-5 4.427793+3 2.824415-5 4.827190+3 2.827546-5 5.282775+3 2.830698-5 5.742155+3 2.833480-5 6.140878+3 2.835480-5 6.419829+3 2.839436-5 6.943010+3 2.842577-5 7.322149+3 2.843704-5 7.448747+3 2.846920-5 7.778571+3 2.849478-5 8.004373+3 2.851615-5 8.165965+3 2.854674-5 8.351852+3 2.856923-5 8.452977+3 2.858327-5 8.500457+3 2.862913-5 8.571266+3 2.866202-5 8.543503+3 2.868292-5 8.492940+3 2.869860-5 8.438900+3 2.872213-5 8.333123+3 2.874565-5 8.199411+3 2.876691-5 8.056348+3 2.879481-5 7.839634+3 2.883068-5 7.519175+3 2.886490-5 7.177809+3 2.889912-5 6.810200+3 2.891623-5 6.619164+3 2.895472-5 6.178114+3 2.896755-5 6.029067+3 2.903599-5 5.235963+3 2.907449-5 4.803156+3 2.910638-5 4.458097+3 2.916530-5 3.862366+3 2.925924-5 3.046829+3 2.935680-5 2.383090+3 2.942445-5 2.023771+3 2.946067-5 1.861082+3 2.949688-5 1.716662+3 2.956930-5 1.475150+3 2.964173-5 1.285169+3 2.969530-5 1.170670+3 2.971415-5 1.134749+3 2.978658-5 1.014400+3 2.982672-5 9.579293+2 2.986687-5 9.074999+2 2.994038-5 8.282273+2 3.001389-5 7.626571+2 3.008882-5 7.069102+2 3.016092-5 6.616967+2 3.038146-5 5.603837+2 3.045345-5 5.363696+2 3.051310-5 5.190710+2 3.059472-5 4.986035+2 3.067633-5 4.810225+2 3.090067-5 4.401171+2 3.105227-5 4.133210+2 3.133038-5 3.650072+2 3.141725-5 3.519197+2 3.148973-5 3.421756+2 3.157970-5 3.316414+2 3.165625-5 3.239904+2 3.177911-5 3.139729+2 3.190079-5 3.064242+2 3.201767-5 3.010733+2 3.211409-5 2.978421+2 3.233437-5 2.929499+2 3.256466-5 2.877942+2 3.276621-5 2.810688+2 3.326819-5 2.621135+2 3.367996-5 2.500141+2 3.440602-5 2.322625+2 3.503573-5 2.194045+2 3.578750-5 2.065071+2 3.654004-5 1.956464+2 3.713316-5 1.881180+2 3.801894-5 1.783867+2 3.887944-5 1.701510+2 4.076224-5 1.553121+2 4.164571-5 1.493642+2 4.440317-5 1.339282+2 4.756125-5 1.196365+2 4.940550-5 1.114405+2 4.965888-5 1.107393+2 5.000907-5 1.105646+2 5.049193-5 1.110016+2 5.080383-5 1.106907+2 5.114383-5 1.095320+2 5.185544-5 1.065817+2 5.289233-5 1.039366+2 5.779254-5 9.328003+1 6.165950-5 8.677547+1 6.377272-5 8.451867+1 7.079458-5 7.814030+1 7.690000-5 7.314560+1 8.200723-5 6.919166+1 8.570000-5 6.645138+1 9.015711-5 6.324109+1 9.670506-5 5.860351+1 1.053091-4 5.251727+1 1.129840-4 4.699680+1 1.195364-4 4.213319+1 1.234851-4 3.922987+1 1.288250-4 3.585955+1 1.338300-4 3.256552+1 1.385248-4 2.925665+1 1.420978-4 2.657630+1 1.456619-4 2.380263+1 1.489583-4 2.112004+1 1.521995-4 1.833574+1 1.541488-4 1.659467+1 1.568489-4 1.410689+1 1.586073-4 1.245425+1 1.610483-4 1.036595+1 1.626843-4 9.236036+0 1.631617-4 8.913582+0 1.635613-4 8.633543+0 1.639600-4 8.341101+0 1.645554-4 7.877468+0 1.652036-4 7.342538+0 1.657983-4 6.840570+0 1.671000-4 5.811169+0 1.674942-4 5.541848+0 1.680238-4 5.221573+0 1.685460-4 4.954897+0 1.690125-4 4.757050+0 1.695775-4 4.565310+0 1.704500-4 4.363016+0 1.709000-4 4.300845+0 1.713518-4 4.267881+0 1.715134-4 4.263621+0 1.721200-4 4.286194+0 1.727628-4 4.384687+0 1.732563-4 4.520224+0 1.737500-4 4.714496+0 1.742500-4 4.976633+0 1.747489-4 5.308729+0 1.752000-4 5.672982+0 1.755748-4 6.023663+0 1.759352-4 6.403080+0 1.766997-4 7.347890+0 1.774997-4 8.543461+0 1.789993-4 1.134935+1 1.798996-4 1.337022+1 1.808696-4 1.580549+1 1.820066-4 1.896737+1 1.823848-4 2.008684+1 1.835122-4 2.360700+1 1.839000-4 2.487727+1 1.852561-4 2.954008+1 1.862087-4 3.300589+1 1.870000-4 3.599446+1 1.885000-4 4.190439+1 1.893668-4 4.545038+1 1.907500-4 5.128305+1 1.915000-4 5.452387+1 1.930000-4 6.113975+1 1.937500-4 6.450146+1 1.953995-4 7.197765+1 1.960000-4 7.471495+1 1.976400-4 8.219021+1 1.982500-4 8.495869+1 2.000000-4 9.282350+1 2.020000-4 1.016075+2 2.041450-4 1.106993+2 2.060000-4 1.182542+2 2.080000-4 1.260870+2 2.105000-4 1.354852+2 2.131745-4 1.451515+2 2.170000-4 1.584774+2 2.213094-4 1.732005+2 2.273624-4 1.936556+2 2.325000-4 2.107693+2 2.384206-4 2.297396+2 2.457097-4 2.514717+2 2.520599-4 2.687013+2 2.560080-4 2.785177+2 2.623004-4 2.928846+2 2.689945-4 3.066345+2 2.745986-4 3.167879+2 2.843409-4 3.318265+2 2.876967-4 3.469682+2 2.892299-4 3.645263+2 2.899174-4 3.752710+2 2.914156-4 4.030379+2 2.928581-4 4.294778+2 2.935164-4 4.389909+2 2.942259-4 4.462467+2 2.948452-4 4.496103+2 2.955769-4 4.499101+2 2.963928-4 4.460405+2 2.980470-4 4.300282+2 2.991736-4 4.187548+2 2.998547-4 4.137621+2 3.006523-4 4.105244+2 3.018152-4 4.113369+2 3.028801-4 4.171706+2 3.057157-4 4.420387+2 3.066428-4 4.483116+2 3.073653-4 4.515395+2 3.080577-4 4.531836+2 3.088624-4 4.534748+2 3.119211-4 4.470125+2 3.131355-4 4.452421+2 3.147071-4 4.455621+2 3.183184-4 4.540095+2 3.218184-4 4.640112+2 3.268002-4 4.760547+2 3.335547-4 4.899922+2 3.419546-4 5.049626+2 3.527536-4 5.215697+2 3.622002-4 5.335410+2 3.721063-4 5.435278+2 3.762973-4 5.490563+2 3.788501-4 5.539573+2 3.938569-4 5.889546+2 3.993775-4 5.997341+2 4.089277-4 6.137530+2 4.201820-4 6.269815+2 4.339734-4 6.399509+2 4.630470-4 6.619822+2 4.793194-4 6.721879+2 5.242880-4 6.927494+2 5.629439-4 7.046656+2 6.085680-4 7.135049+2 6.622719-4 7.184309+2 7.113286-4 7.195954+2 7.429122-4 7.189631+2 8.128844-4 7.117847+2 8.926094-4 7.012491+2 9.956919-4 6.857214+2 1.049370-3 6.762996+2 1.162481-3 6.527078+2 1.222767-3 6.399477+2 1.280394-3 6.272870+2 1.340977-3 6.125916+2 1.409549-3 5.952844+2 1.479162-3 5.770346+2 1.550768-3 5.571558+2 1.618109-3 5.362217+2 1.678915-3 5.158836+2 1.732368-3 4.963727+2 1.777680-3 4.781631+2 1.820879-3 4.587381+2 1.857966-3 4.401658+2 1.884043-3 4.256864+2 1.913705-3 4.073423+2 1.938814-3 3.897703+2 1.958281-3 3.743378+2 1.976753-3 3.576962+2 1.994223-3 3.394270+2 2.008246-3 3.222392+2 2.019703-3 3.061711+2 2.032633-3 2.864153+2 2.045213-3 2.681543+2 2.051439-3 2.608902+2 2.056608-3 2.563460+2 2.059292-3 2.546171+2 2.064726-3 2.525581+2 2.069587-3 2.523893+2 2.071449-3 2.527343+2 2.076623-3 2.548063+2 2.081584-3 2.581708+2 2.086608-3 2.627155+2 2.094446-3 2.715272+2 2.109392-3 2.918435+2 2.160242-3 3.774546+2 2.172899-3 3.999913+2 2.178361-3 4.093905+2 2.192273-3 4.320225+2 2.201742-3 4.460823+2 2.207669-3 4.542260+2 2.218699-3 4.679121+2 2.227652-3 4.775996+2 2.239866-3 4.888907+2 2.253300-3 4.990751+2 2.270388-3 5.091804+2 2.286206-3 5.159952+2 2.323509-3 5.260378+2 2.333353-3 5.296213+2 2.343529-3 5.350793+2 2.357270-3 5.458193+2 2.395949-3 5.861063+2 2.406948-3 5.961496+2 2.418998-3 6.055464+2 2.432670-3 6.144419+2 2.451086-3 6.242994+2 2.472022-3 6.335982+2 2.491417-3 6.409731+2 2.519748-3 6.501867+2 2.579312-3 6.654074+2 2.635875-3 6.761114+2 2.707073-3 6.857616+2 2.804727-3 6.935462+2 2.922036-3 6.979344+2 3.071000-3 6.985029+2 3.199863-3 6.950470+2 3.381895-3 6.864453+2 3.659962-3 6.691190+2 3.943382-3 6.477800+2 4.356921-3 6.143157+2 4.758336-3 5.815670+2 5.220063-3 5.458892+2 5.818742-3 5.029281+2 6.517459-3 4.580284+2 7.199073-3 4.193460+2 7.931859-3 3.824186+2 8.466216-3 3.582266+2 9.117025-3 3.311929+2 9.881086-3 3.025162+2 1.069911-2 2.749467+2 1.156445-2 2.487706+2 1.244094-2 2.249082+2 1.289141-2 2.135568+2 1.374438-2 1.933982+2 1.444117-2 1.779451+2 1.496236-2 1.666954+2 1.542144-2 1.567049+2 1.578864-2 1.483364+2 1.605269-2 1.418068+2 1.625732-2 1.361164+2 1.635558-2 1.330167+2 1.643580-2 1.301941+2 1.650410-2 1.275059+2 1.659460-2 1.234507+2 1.670825-2 1.176711+2 1.682357-2 1.120095+2 1.688311-2 1.098120+2 1.692785-2 1.087240+2 1.697896-2 1.081916+2 1.702461-2 1.083888+2 1.706938-2 1.091649+2 1.712971-2 1.109661+2 1.733221-2 1.194397+2 1.740951-2 1.222399+2 1.749530-2 1.246753+2 1.755437-2 1.259728+2 1.761758-2 1.270811+2 1.774784-2 1.286990+2 1.794599-2 1.301104+2 1.816459-2 1.308523+2 1.851943-2 1.309719+2 1.895843-2 1.300288+2 1.949845-2 1.279726+2 2.015859-2 1.247646+2 2.110864-2 1.196365+2 2.223768-2 1.133385+2 2.388499-2 1.043619+2 2.601455-2 9.375630+1 2.832665-2 8.370541+1 3.137125-2 7.254293+1 3.451189-2 6.312263+1 3.717667-2 5.640026+1 4.089865-2 4.849411+1 4.943213-2 3.546318+1 5.510801-2 2.949680+1 6.487074-2 2.217902+1 9.180018-2 1.198050+1 1.136768-1 8.153693+0 1.359195-1 5.871162+0 1.688210-1 3.912017+0 2.184615-1 2.394049+0 3.025622-1 1.276386+0 4.419678-1 6.089289-1 6.844040-1 2.569803-1 1.228714+0 8.028844-2 3.710658+0 8.830516-3 1.120601+1 9.685831-4 3.384160+1 1.062071-4 1.022000+2 1.164542-5 3.086391+2 1.276896-6 9.320751+2 1.400089-7 3.162278+3 1.216346-8 1.000000+4 1.216346-9 3.162278+4 1.21635-10 1.000000+5 1.21635-11 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.905300-6 1.258900-6 3.019700-6 1.584900-6 4.785900-6 1.995300-6 7.585100-6 2.511900-6 1.202100-5 3.162300-6 1.905300-5 3.981100-6 3.019600-5 5.011900-6 4.785800-5 6.309600-6 7.584900-5 7.943300-6 1.202100-4 1.000000-5 1.905200-4 1.258900-5 3.019500-4 1.584900-5 4.783100-4 1.995300-5 7.575900-4 2.511900-5 1.200000-3 3.162300-5 1.901200-3 3.981100-5 3.012200-3 5.011900-5 4.773000-3 6.309600-5 7.563100-3 7.943300-5 1.196400-2 1.000000-4 1.891900-2 1.258900-4 2.991300-2 1.584900-4 4.716900-2 1.995300-4 7.423500-2 2.511900-4 1.163000-1 3.162300-4 1.809900-1 3.981100-4 2.784600-1 5.011900-4 4.218400-1 6.309600-4 6.245000-1 7.943300-4 8.966500-1 1.000000-3 1.241100+0 1.258900-3 1.652400+0 1.584900-3 2.130700+0 1.995300-3 2.697600+0 2.511900-3 3.382100+0 3.162300-3 4.204100+0 3.981100-3 5.167300+0 5.011900-3 6.282400+0 6.309600-3 7.523200+0 7.943300-3 8.834100+0 1.000000-2 1.019500+1 1.258900-2 1.161000+1 1.584900-2 1.304400+1 1.995300-2 1.442900+1 2.511900-2 1.566500+1 3.162300-2 1.664500+1 3.981100-2 1.746500+1 5.011900-2 1.794300+1 6.309600-2 1.810500+1 7.943300-2 1.797800+1 1.000000-1 1.759600+1 1.258900-1 1.699800+1 1.584900-1 1.622000+1 1.995300-1 1.531000+1 2.511900-1 1.431300+1 3.162300-1 1.326600+1 3.981100-1 1.220500+1 5.011900-1 1.115500+1 6.309600-1 1.013100+1 7.943300-1 9.142800+0 1.000000+0 8.204200+0 1.258900+0 7.315100+0 1.584900+0 6.481000+0 1.995300+0 5.705500+0 2.511900+0 4.991100+0 3.162300+0 4.339500+0 3.981100+0 3.750700+0 5.011900+0 3.223700+0 6.309600+0 2.756500+0 7.943300+0 2.345700+0 1.000000+1 1.987300+0 1.258900+1 1.676800+0 1.584900+1 1.409700+0 1.995300+1 1.181200+0 2.511900+1 9.868400-1 3.162300+1 8.222000-1 3.981100+1 6.833600-1 5.011900+1 5.667100-1 6.309600+1 4.690300-1 7.943300+1 3.874800-1 1.000000+2 3.195800-1 1.258900+2 2.631800-1 1.584900+2 2.164300-1 1.995300+2 1.777600-1 2.511900+2 1.458300-1 3.162300+2 1.195100-1 3.981100+2 9.783500-2 5.011900+2 8.001800-2 6.309600+2 6.538900-2 7.943300+2 5.339000-2 1.000000+3 4.356000-2 1.258900+3 3.551400-2 1.584900+3 2.893400-2 1.995300+3 2.355900-2 2.511900+3 1.917000-2 3.162300+3 1.559000-2 3.981100+3 1.267100-2 5.011900+3 1.029400-2 6.309600+3 8.358300-3 7.943300+3 6.783400-3 1.000000+4 5.502700-3 1.258900+4 4.461900-3 1.584900+4 3.616400-3 1.995300+4 2.930000-3 2.511900+4 2.372900-3 3.162300+4 1.921100-3 3.981100+4 1.554700-3 5.011900+4 1.257700-3 6.309600+4 1.017200-3 7.943300+4 8.223600-4 1.000000+5 6.646400-4 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510165-4 3.162278-4 3.159557-4 3.981072-4 3.976778-4 5.011872-4 5.005094-4 6.309573-4 6.298927-4 7.943282-4 7.926652-4 1.000000-3 9.974047-4 1.258925-3 1.254898-3 1.584893-3 1.578629-3 1.995262-3 1.985489-3 2.511886-3 2.496564-3 3.162278-3 3.138272-3 3.981072-3 3.943401-3 5.011872-3 4.952814-3 6.309573-3 6.217274-3 7.943282-3 7.799661-3 1.000000-2 9.777008-3 1.258925-2 1.224318-2 1.584893-2 1.531283-2 1.995262-2 1.912516-2 2.511886-2 2.384928-2 3.162278-2 2.968502-2 3.981072-2 3.687225-2 5.011872-2 4.568882-2 6.309573-2 5.646786-2 7.943282-2 6.958708-2 1.000000-1 8.547950-2 1.258925-1 1.046501-1 1.584893-1 1.277035-1 1.995262-1 1.552738-1 2.511886-1 1.881814-1 3.162278-1 2.273163-1 3.981072-1 2.736901-1 5.011872-1 3.284840-1 6.309573-1 3.931188-1 7.943282-1 4.692252-1 1.000000+0 5.585851-1 1.258925+0 6.639486-1 1.584893+0 7.883457-1 1.995262+0 9.354339-1 2.511886+0 1.109976+0 3.162278+0 1.317712+0 3.981072+0 1.565689+0 5.011872+0 1.862445+0 6.309573+0 2.218617+0 7.943282+0 2.647089+0 1.000000+1 3.163706+0 1.258925+1 3.787730+0 1.584893+1 4.542864+0 1.995262+1 5.458059+0 2.511886+1 6.568785+0 3.162278+1 7.918770+0 3.981072+1 9.561230+0 5.011872+1 1.156200+1 6.309573+1 1.400161+1 7.943282+1 1.697911+1 1.000000+2 2.061663+1 1.258925+2 2.506390+1 1.584893+2 3.050554+1 1.995262+2 3.716874+1 2.511886+2 4.533391+1 3.162278+2 5.534648+1 3.981072+2 6.763085+1 5.011872+2 8.271427+1 6.309573+2 1.012437+2 7.943282+2 1.240195+2 1.000000+3 1.520282+2 1.258925+3 1.864913+2 1.584893+3 2.289158+2 1.995262+3 2.811792+2 2.511886+3 3.455664+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88195-10 1.995262-5 1.090624-9 2.511886-5 1.728495-9 3.162278-5 2.739512-9 3.981072-5 4.341883-9 5.011872-5 6.881403-9 6.309573-5 1.090598-8 7.943282-5 1.727642-8 1.000000-4 2.737309-8 1.258925-4 4.337405-8 1.584893-4 6.868506-8 1.995262-4 1.087552-7 2.511886-4 1.720948-7 3.162278-4 2.720612-7 3.981072-4 4.293743-7 5.011872-4 6.778646-7 6.309573-4 1.064598-6 7.943282-4 1.663071-6 1.000000-3 2.595252-6 1.258925-3 4.027319-6 1.584893-3 6.264312-6 1.995262-3 9.773699-6 2.511886-3 1.532269-5 3.162278-3 2.400563-5 3.981072-3 3.767100-5 5.011872-3 5.905883-5 6.309573-3 9.229975-5 7.943282-3 1.436209-4 1.000000-2 2.229924-4 1.258925-2 3.460720-4 1.584893-2 5.361043-4 1.995262-2 8.274655-4 2.511886-2 1.269588-3 3.162278-2 1.937759-3 3.981072-2 2.938472-3 5.011872-2 4.429906-3 6.309573-2 6.627873-3 7.943282-2 9.845748-3 1.000000-1 1.452050-2 1.258925-1 2.124242-2 1.584893-1 3.078582-2 1.995262-1 4.425247-2 2.511886-1 6.300721-2 3.162278-1 8.891142-2 3.981072-1 1.244171-1 5.011872-1 1.727032-1 6.309573-1 2.378386-1 7.943282-1 3.251030-1 1.000000+0 4.414149-1 1.258925+0 5.949768-1 1.584893+0 7.965475-1 1.995262+0 1.059828+0 2.511886+0 1.401910+0 3.162278+0 1.844566+0 3.981072+0 2.415382+0 5.011872+0 3.149428+0 6.309573+0 4.090956+0 7.943282+0 5.296193+0 1.000000+1 6.836294+0 1.258925+1 8.801524+0 1.584893+1 1.130607+1 1.995262+1 1.449456+1 2.511886+1 1.855008+1 3.162278+1 2.370401+1 3.981072+1 3.024949+1 5.011872+1 3.855672+1 6.309573+1 4.909412+1 7.943282+1 6.245371+1 1.000000+2 7.938337+1 1.258925+2 1.008286+2 1.584893+2 1.279838+2 1.995262+2 1.623575+2 2.511886+2 2.058547+2 3.162278+2 2.608813+2 3.981072+2 3.304763+2 5.011872+2 4.184730+2 6.309573+2 5.297136+2 7.943282+2 6.703088+2 1.000000+3 8.479718+2 1.258925+3 1.072434+3 1.584893+3 1.355977+3 1.995262+3 1.714083+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.130000-6 2.675364+6 5.240000-6 2.765428+6 5.240000-6 4.456496+6 5.400000-6 4.674928+6 5.500000-6 4.803286+6 5.623413-6 4.957003+6 5.680000-6 5.022990+6 5.680000-6 6.945966+6 5.700000-6 6.934351+6 5.760000-6 6.900702+6 5.900000-6 6.825223+6 5.956621-6 6.800054+6 5.960000-6 6.798533+6 6.165950-6 6.731265+6 6.237348-6 6.719847+6 6.309573-6 6.709467+6 6.350000-6 6.704193+6 6.550000-6 6.697931+6 6.600000-6 6.700919+6 6.606934-6 6.701041+6 6.770000-6 6.709105+6 7.000000-6 6.746850+6 7.200000-6 6.781260+6 7.350000-6 6.817309+6 7.413102-6 6.834467+6 7.500000-6 6.857360+6 7.550000-6 6.869017+6 7.700000-6 6.907154+6 7.852356-6 6.951145+6 8.000000-6 6.997988+6 8.035261-6 7.008745+6 8.200000-6 7.052959+6 8.350000-6 7.096411+6 8.511380-6 7.146037+6 8.609938-6 7.177558+6 8.650000-6 7.189551+6 8.709636-6 7.207485+6 8.810489-6 7.234019+6 8.920000-6 7.263550+6 9.050000-6 7.299566+6 9.200000-6 7.342235+6 9.225714-6 7.349631+6 9.350000-6 7.382466+6 9.440609-6 7.406724+6 9.500000-6 7.420157+6 9.660509-6 7.456923+6 9.850000-6 7.501186+6 9.885531-6 7.509568+6 1.020000-5 7.575849+6 1.023293-5 7.581445+6 1.035142-5 7.601723+6 1.042000-5 7.613532+6 1.050000-5 7.627364+6 1.057000-5 7.639511+6 1.059254-5 7.643437+6 1.065000-5 7.651692+6 1.071519-5 7.661094+6 1.077000-5 7.669020+6 1.083000-5 7.677716+6 1.083927-5 7.679064+6 1.088000-5 7.683236+6 1.094000-5 7.689406+6 1.100000-5 7.695598+6 1.107000-5 7.702846+6 1.112000-5 7.708038+6 1.117000-5 7.713241+6 1.123000-5 7.719496+6 1.129000-5 7.725763+6 1.135011-5 7.732050+6 1.142000-5 7.737286+6 1.150000-5 7.743300+6 1.157000-5 7.745479+6 1.168000-5 7.748958+6 1.180000-5 7.752820+6 1.200000-5 7.759384+6 1.202264-5 7.760135+6 1.216186-5 7.760132+6 1.230269-5 7.754230+6 1.250000-5 7.746214+6 1.270000-5 7.738366+6 1.273503-5 7.735869+6 1.290000-5 7.717089+6 1.310000-5 7.694781+6 1.330000-5 7.672957+6 1.333521-5 7.669153+6 1.350000-5 7.638442+6 1.372000-5 7.598260+6 1.396368-5 7.554807+6 1.400000-5 7.548410+6 1.420000-5 7.498144+6 1.450000-5 7.424714+6 1.462177-5 7.395529+6 1.480000-5 7.338738+6 1.513561-5 7.234776+6 1.531087-5 7.181953+6 1.550000-5 7.112105+6 1.584893-5 6.987147+6 1.590000-5 6.969258+6 1.621810-5 6.838132+6 1.659587-5 6.688845+6 1.710000-5 6.465316+6 1.730000-5 6.380473+6 1.757924-5 6.247911+6 1.800000-5 6.057125+6 1.862087-5 5.760396+6 1.870000-5 5.724319+6 1.927525-5 5.444646+6 1.950000-5 5.341286+6 2.000000-5 5.101696+6 2.018366-5 5.017845+6 2.070000-5 4.776265+6 2.089296-5 4.690467+6 2.162719-5 4.363764+6 2.238721-5 4.041111+6 2.264644-5 3.932451+6 2.330000-5 3.676364+6 2.344229-5 3.622493+6 2.371374-5 3.518924+6 2.426610-5 3.320616+6 2.454709-5 3.223535+6 2.500000-5 3.069926+6 2.540973-5 2.939530+6 2.570396-5 2.848552+6 2.630268-5 2.669288+6 2.660725-5 2.583964+6 2.691535-5 2.499557+6 2.786121-5 2.255781+6 2.818383-5 2.178321+6 2.917427-5 1.955701+6 2.950000-5 1.887940+6 2.951209-5 1.885410+6 3.040000-5 1.711161+6 3.080000-5 1.638416+6 3.126079-5 1.557474+6 3.162278-5 1.497521+6 3.198895-5 1.438939+6 3.214000-5 1.415086+6 3.214000-5 9.207366+6 3.278000-5 8.659539+6 3.280000-5 8.643079+6 3.311311-5 8.368995+6 3.350000-5 8.044400+6 3.371000-5 7.865811+6 3.371000-5 1.169303+7 3.400000-5 1.136481+7 3.427678-5 1.106218+7 3.438000-5 1.094824+7 3.450000-5 1.081729+7 3.500000-5 1.027629+7 3.540000-5 9.858157+6 3.548134-5 9.775650+6 3.570000-5 9.558150+6 3.589219-5 9.371562+6 3.600000-5 9.266130+6 3.672823-5 8.579457+6 3.690000-5 8.426711+6 3.715352-5 8.207008+6 3.758374-5 7.844861+6 3.801894-5 7.491335+6 3.850000-5 7.121984+6 3.935501-5 6.513094+6 3.950000-5 6.415995+6 4.000000-5 6.089118+6 4.073803-5 5.638417+6 4.168694-5 5.116126+6 4.216965-5 4.867770+6 4.220000-5 4.852622+6 4.365158-5 4.190974+6 4.400000-5 4.048595+6 4.500000-5 3.668813+6 4.518559-5 3.603187+6 4.650000-5 3.177050+6 4.677351-5 3.096316+6 4.731513-5 2.943482+6 4.800000-5 2.763161+6 4.841724-5 2.659714+6 4.954502-5 2.406467+6 5.069907-5 2.177280+6 5.080000-5 2.158562+6 5.128614-5 2.072649+6 5.188000-5 1.973324+6 5.248075-5 1.879710+6 5.300000-5 1.803224+6 5.324000-5 1.769162+6 5.335000-5 1.754140+6 5.335000-5 1.916644+6 5.432503-5 1.794080+6 5.450000-5 1.773316+6 5.500000-5 1.715880+6 5.559043-5 1.653734+6 5.623413-5 1.589615+6 5.650000-5 1.564235+6 5.688529-5 1.528547+6 5.754399-5 1.472005+6 5.850000-5 1.396856+6 5.900000-5 1.359833+6 6.000000-5 1.292607+6 6.025596-5 1.276574+6 6.095369-5 1.234523+6 6.165950-5 1.195832+6 6.237348-5 1.158609+6 6.309573-5 1.123708+6 6.350000-5 1.105793+6 6.400000-5 1.084404+6 6.456542-5 1.061164+6 6.500000-5 1.044328+6 6.531306-5 1.032533+6 6.540000-5 1.029415+6 6.610000-5 1.005013+6 6.683439-5 9.806999+5 6.690000-5 9.786330+5 6.703000-5 9.745699+5 6.735400-5 9.646153+5 6.770000-5 9.547200+5 6.850000-5 9.327269+5 6.900000-5 9.195740+5 6.918310-5 9.147780+5 6.920000-5 9.143506+5 6.950000-5 9.068706+5 7.000000-5 8.953437+5 7.079458-5 8.777633+5 7.161434-5 8.605000+5 7.244360-5 8.454432+5 7.330000-5 8.302769+5 7.400000-5 8.184162+5 7.420000-5 8.154396+5 7.500000-5 8.038789+5 7.585776-5 7.920088+5 7.650000-5 7.834655+5 7.690000-5 7.786632+5 7.800000-5 7.659471+5 7.900000-5 7.553936+5 7.943282-5 7.513318+5 7.950000-5 7.506778+5 8.035261-5 7.425545+5 8.128305-5 7.344094+5 8.150000-5 7.325566+5 8.222426-5 7.269916+5 8.300000-5 7.212031+5 8.317638-5 7.199808+5 8.413951-5 7.130234+5 8.511380-5 7.068168+5 8.570000-5 7.031779+5 8.709636-5 6.952201+5 8.810489-5 6.897924+5 8.912509-5 6.847348+5 9.015711-5 6.797365+5 9.120108-5 6.752735+5 9.150000-5 6.740976+5 9.225714-5 6.709125+5 9.332543-5 6.664898+5 9.440609-5 6.621107+5 9.500000-5 6.601099+5 9.549926-5 6.584318+5 9.660509-5 6.544771+5 9.800000-5 6.495984+5 9.950000-5 6.447232+5 1.000000-4 6.431215+5 1.011579-4 6.397908+5 1.023293-4 6.361712+5 1.040000-4 6.313686+5 1.050000-4 6.285337+5 1.071519-4 6.225672+5 1.083927-4 6.191842+5 1.096478-4 6.158242+5 1.109175-4 6.124956+5 1.122018-4 6.091526+5 1.150000-4 6.020414+5 1.161449-4 5.991812+5 1.174898-4 5.958535+5 1.190000-4 5.920727+5 1.205000-4 5.883499+5 1.230269-4 5.822083+5 1.244515-4 5.787979+5 1.273503-4 5.720044+5 1.280000-4 5.704462+5 1.288250-4 5.684572+5 1.318257-4 5.613490+5 1.330000-4 5.585043+5 1.338300-4 5.564945+5 1.380384-4 5.465498+5 1.428894-4 5.349921+5 1.430000-4 5.347315+5 1.450000-4 5.299916+5 1.480000-4 5.227343+5 1.496236-4 5.188861+5 1.548817-4 5.063180+5 1.566751-4 5.021799+5 1.580000-4 4.991471+5 1.584893-4 4.980157+5 1.603245-4 4.936328+5 1.621810-4 4.892824+5 1.640590-4 4.848179+5 1.665100-4 4.790836+5 1.665100-4 6.981220+5 1.671000-4 6.959901+5 1.677000-4 6.951676+5 1.683000-4 6.960036+5 1.687000-4 6.975367+5 1.687400-4 6.977921+5 1.687400-4 8.463389+5 1.692000-4 8.485872+5 1.692500-4 8.489805+5 1.697000-4 8.532470+5 1.698244-4 8.548285+5 1.698500-4 8.551554+5 1.702000-4 8.603333+5 1.705000-4 8.658536+5 1.707000-4 8.699841+5 1.710000-4 8.772024+5 1.711000-4 8.798308+5 1.715000-4 8.918966+5 1.717000-4 8.984809+5 1.720000-4 9.097419+5 1.721200-4 9.145823+5 1.723000-4 9.219522+5 1.725000-4 9.309693+5 1.728500-4 9.480253+5 1.730000-4 9.559883+5 1.735000-4 9.847153+5 1.740000-4 1.017896+6 1.745000-4 1.054380+6 1.752000-4 1.112322+6 1.760000-4 1.187715+6 1.765000-4 1.240260+6 1.770000-4 1.294918+6 1.773000-4 1.329736+6 1.778279-4 1.392417+6 1.781000-4 1.426446+6 1.785000-4 1.476831+6 1.788000-4 1.515816+6 1.795000-4 1.608708+6 1.796000-4 1.622359+6 1.798871-4 1.660575+6 1.800000-4 1.675937+6 1.803000-4 1.717692+6 1.805000-4 1.745648+6 1.812000-4 1.843563+6 1.812400-4 1.849223+6 1.820000-4 1.956369+6 1.827000-4 2.054951+6 1.828000-4 2.069169+6 1.835000-4 2.167277+6 1.838000-4 2.209681+6 1.845000-4 2.306978+6 1.850000-4 2.377086+6 1.855000-4 2.445708+6 1.862087-4 2.543518+6 1.865000-4 2.582984+6 1.873000-4 2.691332+6 1.875000-4 2.717927+6 1.883649-4 2.832666+6 1.885000-4 2.851056+6 1.900000-4 3.045216+6 1.915000-4 3.233093+6 1.930000-4 3.413618+6 1.945000-4 3.585605+6 1.957000-4 3.715759+6 1.960000-4 3.746868+6 1.972423-4 3.872397+6 1.975000-4 3.898948+6 1.976400-4 3.912804+6 1.990000-4 4.038043+6 1.995262-4 4.084881+6 2.000000-4 4.124152+6 2.010000-4 4.208193+6 2.018366-4 4.269367+6 2.030000-4 4.355720+6 2.041738-4 4.429816+6 2.050000-4 4.482583+6 2.052900-4 4.499924+6 2.065380-4 4.566412+6 2.070000-4 4.591190+6 2.080000-4 4.641436+6 2.089296-4 4.682465+6 2.090000-4 4.685583+6 2.113489-4 4.781026+6 2.120000-4 4.804251+6 2.150000-4 4.901269+6 2.190000-4 5.002339+6 2.205000-4 5.036872+6 2.213095-4 5.052523+6 2.220000-4 5.065877+6 2.238721-4 5.102074+6 2.240000-4 5.104544+6 2.264644-4 5.146682+6 2.300000-4 5.195902+6 2.317395-4 5.216566+6 2.344229-4 5.239621+6 2.350000-4 5.244570+6 2.371374-4 5.258969+6 2.380000-4 5.264765+6 2.400000-4 5.270714+6 2.426610-4 5.273429+6 2.450000-4 5.275790+6 2.454709-4 5.274730+6 2.483133-4 5.262749+6 2.500000-4 5.255657+6 2.511886-4 5.250681+6 2.520000-4 5.245032+6 2.600160-4 5.175308+6 2.630268-4 5.138591+6 2.660725-4 5.102135+6 2.691535-4 5.065907+6 2.754229-4 4.976214+6 2.800000-4 4.912864+6 2.818383-4 4.882697+6 2.884032-4 4.778005+6 2.917427-4 4.726497+6 2.999200-4 4.583838+6 2.999200-4 5.013967+6 3.019952-4 4.982519+6 3.040000-4 4.947834+6 3.054921-4 4.921411+6 3.115000-4 4.817914+6 3.122600-4 4.804806+6 3.122600-4 4.997917+6 3.126079-4 4.991977+6 3.150000-4 4.951536+6 3.200000-4 4.860148+6 3.235937-4 4.795700+6 3.280000-4 4.718964+6 3.311311-4 4.663823+6 3.330000-4 4.629587+6 3.349654-4 4.594032+6 3.350000-4 4.593411+6 3.430000-4 4.451719+6 3.467369-4 4.387582+6 3.507519-4 4.318506+6 3.550000-4 4.244261+6 3.589219-4 4.176887+6 3.630781-4 4.107549+6 3.672823-4 4.039504+6 3.715352-4 3.970405+6 3.758374-4 3.899658+6 3.801894-4 3.829798+6 3.850200-4 3.754584+6 3.857900-4 3.742531+6 3.857900-4 3.912761+6 3.935501-4 3.791451+6 4.000000-4 3.692078+6 4.027170-4 3.651555+6 4.050000-4 3.618094+6 4.073803-4 3.583395+6 4.120975-4 3.514967+6 4.168694-4 3.447726+6 4.216965-4 3.380161+6 4.265795-4 3.314022+6 4.280000-4 3.295025+6 4.365158-4 3.184383+6 4.415704-4 3.120546+6 4.466836-4 3.058100+6 4.518559-4 2.995592+6 4.550000-4 2.958232+6 4.623810-4 2.873567+6 4.677351-4 2.814635+6 4.731513-4 2.756005+6 4.786301-4 2.698210+6 4.954502-4 2.527832+6 5.011872-4 2.473688+6 5.069907-4 2.420109+6 5.150000-4 2.348391+6 5.248075-4 2.263568+6 5.308844-4 2.213464+6 5.370318-4 2.164545+6 5.400000-4 2.141492+6 5.432503-4 2.116457+6 5.495409-4 2.068790+6 5.559043-4 2.022070+6 5.580000-4 2.007044+6 5.623413-4 1.976401+6 5.754399-4 1.886852+6 5.821032-4 1.843371+6 5.888437-4 1.800772+6 5.900000-4 1.793615+6 6.095369-4 1.677805+6 6.237348-4 1.599716+6 6.309573-4 1.561750+6 6.456542-4 1.488711+6 6.606934-4 1.418788+6 6.683439-4 1.385057+6 6.700000-4 1.377920+6 6.760830-4 1.351855+6 6.839116-4 1.319023+6 6.918310-4 1.287050+6 7.079458-4 1.225586+6 7.161434-4 1.195768+6 7.244360-4 1.166661+6 7.328245-4 1.137949+6 7.413102-4 1.109652+6 7.585776-4 1.055302+6 7.762471-4 1.003806+6 7.800000-4 9.932917+5 7.852356-4 9.788493+5 8.000000-4 9.395392+5 8.035261-4 9.305041+5 8.128305-4 9.070530+5 8.222426-4 8.842360+5 8.317638-4 8.620185+5 8.413951-4 8.404009+5 8.511380-4 8.193203+5 8.609938-4 7.987270+5 8.810489-4 7.585667+5 8.912509-4 7.391190+5 9.120108-4 7.017957+5 9.225714-4 6.838938+5 9.332543-4 6.663428+5 9.500000-4 6.399531+5 9.772372-4 6.000565+5 1.000000-3 5.692400+5 1.011579-3 5.544659+5 1.035142-3 5.260281+5 1.047129-3 5.122857+5 1.083927-3 4.730388+5 1.109175-3 4.484168+5 1.110000-3 4.476447+5 1.122018-3 4.365712+5 1.135011-3 4.250492+5 1.174898-3 3.921146+5 1.202264-3 3.715488+5 1.216186-3 3.616242+5 1.230269-3 3.519191+5 1.258925-3 3.333320+5 1.273503-3 3.243568+5 1.303167-3 3.071669+5 1.318257-3 2.988996+5 1.333521-3 2.908611+5 1.350000-3 2.825353+5 1.355400-3 2.798652+5 1.364583-3 2.753902+5 1.380384-3 2.679349+5 1.412538-3 2.535423+5 1.462177-3 2.334063+5 1.479108-3 2.270488+5 1.513561-3 2.148123+5 1.531087-3 2.089254+5 1.566751-3 1.975710+5 1.584893-3 1.921379+5 1.640590-3 1.767612+5 1.650000-3 1.743431+5 1.659587-3 1.719137+5 1.678804-3 1.671650+5 1.757924-3 1.492907+5 1.819701-3 1.372083+5 1.850000-3 1.317769+5 1.862087-3 1.296912+5 1.883649-3 1.260685+5 1.900000-3 1.233954+5 1.905461-3 1.225188+5 1.972423-3 1.124645+5 2.018366-3 1.062439+5 2.041738-3 1.032700+5 2.065380-3 1.003693+5 2.081500-3 9.845400+4 2.081500-3 3.730455+5 2.089296-3 3.701426+5 2.113489-3 3.613245+5 2.145000-3 3.502916+5 2.159700-3 3.444134+5 2.159700-3 4.768178+5 2.168000-3 4.724363+5 2.190000-3 4.622499+5 2.213095-3 4.509030+5 2.264644-3 4.269591+5 2.290868-3 4.154724+5 2.300000-3 4.113657+5 2.317395-3 4.036966+5 2.344229-3 3.922373+5 2.354900-3 3.878067+5 2.354900-3 4.439175+5 2.400000-3 4.242985+5 2.426610-3 4.130321+5 2.430000-3 4.116278+5 2.483133-3 3.901883+5 2.540973-3 3.686220+5 2.570396-3 3.582953+5 2.600160-3 3.481725+5 2.630268-3 3.383253+5 2.691535-3 3.193289+5 2.722701-3 3.102459+5 2.786121-3 2.928609+5 2.818383-3 2.845477+5 2.851018-3 2.764125+5 2.884032-3 2.685097+5 2.900000-3 2.648023+5 2.951209-3 2.533744+5 3.054921-3 2.322837+5 3.090295-3 2.256354+5 3.162278-3 2.128919+5 3.198895-3 2.067992+5 3.235937-3 2.008809+5 3.273407-3 1.950664+5 3.311311-3 1.894232+5 3.349654-3 1.839468+5 3.427678-3 1.734770+5 3.467369-3 1.684550+5 3.548134-3 1.588517+5 3.589219-3 1.542140+5 3.630781-3 1.497097+5 3.650000-3 1.476899+5 3.672823-3 1.453378+5 3.715352-3 1.410677+5 3.801894-3 1.329101+5 3.845918-3 1.289886+5 3.900000-3 1.243909+5 3.981072-3 1.179197+5 4.000000-3 1.164776+5 4.027170-3 1.144506+5 4.073803-3 1.110839+5 4.120975-3 1.078190+5 4.150000-3 1.058690+5 4.168694-3 1.046376+5 4.216965-3 1.015487+5 4.365158-3 9.272078+4 4.415704-3 8.993784+4 4.518559-3 8.462550+4 4.570882-3 8.208967+4 4.623810-3 7.963182+4 4.731513-3 7.494086+4 4.800000-3 7.213963+4 4.897788-3 6.838874+4 4.954502-3 6.633688+4 5.011872-3 6.433468+4 5.069907-3 6.238907+4 5.128614-3 6.050347+4 5.248075-3 5.690352+4 5.370318-3 5.352355+4 5.432503-3 5.190941+4 5.495409-3 5.033028+4 5.500000-3 5.021767+4 5.623413-3 4.730722+4 5.688529-3 4.585914+4 5.754399-3 4.445560+4 5.821032-3 4.309599+4 5.956621-3 4.050201+4 6.095369-3 3.806855+4 6.309573-3 3.469330+4 6.382635-3 3.363066+4 6.606934-3 3.061986+4 6.683439-3 2.967832+4 6.760830-3 2.876211+4 6.918310-3 2.701605+4 7.161434-3 2.459646+4 7.244360-3 2.383671+4 7.413102-3 2.237993+4 7.498942-3 2.168613+4 7.500000-3 2.167776+4 7.585776-3 2.101403+4 7.673615-3 2.036132+4 7.800000-3 1.947082+4 7.852356-3 1.911748+4 8.128305-3 1.739380+4 8.222426-3 1.685163+4 8.413951-3 1.581866+4 8.511380-3 1.532373+4 8.609938-3 1.484469+4 8.709636-3 1.438078+4 8.810489-3 1.393167+4 8.912509-3 1.349542+4 9.000000-3 1.313593+4 9.225714-3 1.226783+4 9.440609-3 1.151309+4 9.549926-3 1.115380+4 9.772372-3 1.046436+4 9.800000-3 1.038289+4 9.885531-3 1.013478+4 1.011579-2 9.506043+3 1.023293-2 9.206847+3 1.035142-2 8.917300+3 1.047129-2 8.636833+3 1.083927-2 7.846220+3 1.096478-2 7.599294+3 1.122018-2 7.126145+3 1.135011-2 6.900997+3 1.148154-2 6.683040+3 1.161449-2 6.471064+3 1.188502-2 6.067621+3 1.202264-2 5.875534+3 1.230269-2 5.509792+3 1.244515-2 5.335320+3 1.258925-2 5.165320+3 1.273503-2 5.000668+3 1.288250-2 4.841395+3 1.303167-2 4.687325+3 1.318257-2 4.538216+3 1.348963-2 4.254419+3 1.350000-2 4.245268+3 1.364583-2 4.118849+3 1.412538-2 3.737725+3 1.445440-2 3.503925+3 1.462177-2 3.391551+3 1.479108-2 3.282867+3 1.496236-2 3.177614+3 1.500000-2 3.155107+3 1.513561-2 3.075819+3 1.531087-2 2.977324+3 1.548817-2 2.882051+3 1.566751-2 2.789901+3 1.584893-2 2.700707+3 1.659587-2 2.370955+3 1.678804-2 2.295163+3 1.700000-2 2.214714+3 1.700000-2 1.518985+4 1.717908-2 1.479854+4 1.737801-2 1.438016+4 1.740000-2 1.433493+4 1.757924-2 1.392327+4 1.760000-2 1.387663+4 1.778279-2 1.352036+4 1.798871-2 1.313422+4 1.819701-2 1.275918+4 1.820000-2 1.275391+4 1.862087-2 1.200785+4 1.883649-2 1.164890+4 1.949845-2 1.063494+4 1.972423-2 1.032157+4 2.018366-2 9.721602+3 2.041738-2 9.434884+3 2.065380-2 9.156525+3 2.089296-2 8.886420+3 2.113489-2 8.624324+3 2.137962-2 8.369979+3 2.162719-2 8.115520+3 2.187762-2 7.868833+3 2.238721-2 7.397820+3 2.264644-2 7.172941+3 2.290868-2 6.954920+3 2.317395-2 6.743554+3 2.371374-2 6.339455+3 2.398833-2 6.146617+3 2.426610-2 5.959621+3 2.454709-2 5.778334+3 2.483133-2 5.602545+3 2.540973-2 5.266883+3 2.570396-2 5.106700+3 2.600160-2 4.951407+3 2.660725-2 4.654904+3 2.691535-2 4.510311+3 2.722701-2 4.370224+3 2.818383-2 3.975147+3 2.851018-2 3.851560+3 2.917427-2 3.615817+3 3.000000-2 3.349372+3 3.019952-2 3.289032+3 3.162278-2 2.898869+3 3.198895-2 2.808702+3 3.235937-2 2.721322+3 3.311311-2 2.554661+3 3.349654-2 2.473653+3 3.427678-2 2.319277+3 3.467369-2 2.245748+3 3.589219-2 2.038881+3 3.715352-2 1.851114+3 3.758374-2 1.792379+3 3.845918-2 1.680451+3 3.935501-2 1.575506+3 3.981072-2 1.525514+3 4.120975-2 1.384877+3 4.168694-2 1.340947+3 4.216965-2 1.297716+3 4.365158-2 1.176220+3 4.415704-2 1.138309+3 4.466836-2 1.101579+3 4.518559-2 1.066037+3 4.677351-2 9.661551+2 4.731513-2 9.349835+2 4.786301-2 9.048151+2 5.128614-2 7.432019+2 5.188000-2 7.192297+2 5.248075-2 6.957272+2 5.308844-2 6.729683+2 5.370318-2 6.509545+2 5.559043-2 5.891464+2 6.244590-2 4.210829+2 6.309573-2 4.086823+2 6.382635-2 3.953058+2 6.606934-2 3.573548+2 6.683439-2 3.455330+2 6.760830-2 3.341007+2 6.839116-2 3.230474+2 7.079458-2 2.920356+2 7.673615-2 2.307742+2 7.762471-2 2.231351+2 8.035261-2 2.017028+2 8.128305-2 1.949658+2 8.222426-2 1.884530+2 8.317638-2 1.821579+2 8.413951-2 1.760734+2 8.709636-2 1.590132+2 9.549926-2 1.211793+2 9.772372-2 1.132152+2 1.000000-1 1.057748+2 1.011580-1 1.022400+2 1.023293-1 9.882394+1 1.035142-1 9.552151+1 1.047129-1 9.232932+1 1.059254-1 8.924409+1 1.096478-1 8.055348+1 1.109175-1 7.784921+1 1.135011-1 7.271037+1 1.161449-1 6.791095+1 1.174898-1 6.563150+1 1.188502-1 6.342873+1 1.202264-1 6.129987+1 1.258925-1 5.347570+1 1.303167-1 4.826923+1 1.318257-1 4.664900+1 1.348963-1 4.357001+1 1.364583-1 4.210780+1 1.380384-1 4.069468+1 1.428894-1 3.673369+1 1.462177-1 3.430980+1 1.479108-1 3.315855+1 1.513561-1 3.097066+1 1.548817-1 2.892733+1 1.584893-1 2.701895+1 1.603245-1 2.611251+1 1.640590-1 2.438986+1 1.659587-1 2.357176+1 1.678804-1 2.278112+1 1.717908-1 2.127858+1 1.737801-1 2.056488+1 1.757924-1 1.987514+1 1.778279-1 1.920858+1 1.798871-1 1.856439+1 1.840772-1 1.734016+1 1.862087-1 1.675867+1 1.883649-1 1.620181+1 1.927525-1 1.514312+1 1.949845-1 1.464002+1 1.972423-1 1.415395+1 2.000000-1 1.358918+1 2.018366-1 1.322972+1 2.041738-1 1.279052+1 2.065380-1 1.236592+1 2.137962-1 1.117498+1 2.187762-1 1.044555+1 2.213095-1 1.009890+1 2.238721-1 9.763774+0 2.264644-1 9.439767+0 2.344229-1 8.541668+0 2.426610-1 7.729109+0 2.454709-1 7.476161+0 2.483133-1 7.231509+0 2.511886-1 6.994867+0 2.540973-1 6.766017+0 2.570396-1 6.544663+0 2.660725-1 5.923120+0 2.722701-1 5.547024+0 2.754229-1 5.368049+0 2.818383-1 5.027255+0 2.851018-1 4.865062+0 2.884032-1 4.708329+0 2.951209-1 4.409874+0 3.000000-1 4.208990+0 3.000060-1 4.208751+0 3.019952-1 4.130412+0 3.054921-1 3.997423+0 3.090295-1 3.868720+0 3.126079-1 3.746200+0 3.198895-1 3.512681+0 3.273407-1 3.293724+0 3.349654-1 3.088748+0 3.388442-1 2.991118+0 3.467369-1 2.805083+0 3.507519-1 2.716452+0 3.548134-1 2.632159+0 3.589219-1 2.550482+0 3.630781-1 2.471340+0 3.672823-1 2.394656+0 3.715352-1 2.320361+0 3.758374-1 2.248502+0 3.801894-1 2.178875+0 3.845918-1 2.111407+0 3.935501-1 1.982719+0 4.000000-1 1.898373+0 4.027170-1 1.864317+0 4.073803-1 1.807803+0 4.120975-1 1.753004+0 4.168694-1 1.699866+0 4.216965-1 1.648448+0 4.265795-1 1.598586+0 4.315191-1 1.550235+0 4.415705-1 1.457909+0 4.466836-1 1.414780+0 4.518559-1 1.372929+0 4.570882-1 1.332315+0 4.623810-1 1.292903+0 4.677351-1 1.254661+0 4.786301-1 1.181696+0 4.841724-1 1.146824+0 4.897788-1 1.112999+0 4.954502-1 1.080909+0 5.011872-1 1.049746+0 5.069907-1 1.019481+0 5.128614-1 9.900887-1 5.188000-1 9.615471-1 5.248075-1 9.338936-1 5.308844-1 9.070400-1 5.370318-1 8.809603-1 5.432503-1 8.556415-1 5.495409-1 8.316567-1 5.623413-1 7.856870-1 5.754399-1 7.422624-1 5.821032-1 7.215160-1 5.888437-1 7.013495-1 5.956621-1 6.817485-1 6.000000-1 6.696828-1 6.025596-1 6.627039-1 6.095369-1 6.446708-1 6.237348-1 6.100672-1 6.309573-1 5.934688-1 6.382635-1 5.773241-1 6.456542-1 5.616625-1 6.531306-1 5.464255-1 6.606935-1 5.316032-1 6.683439-1 5.175604-1 6.760830-1 5.038897-1 6.839117-1 4.905806-1 6.918310-1 4.776231-1 6.998420-1 4.650452-1 7.079458-1 4.527986-1 7.161434-1 4.408746-1 7.244360-1 4.296152-1 7.328245-1 4.186447-1 7.413102-1 4.079609-1 7.498942-1 3.975500-1 7.585776-1 3.874061-1 7.673615-1 3.775212-1 7.852356-1 3.585556-1 8.000000-1 3.443071-1 8.035261-1 3.410266-1 8.128305-1 3.325869-1 8.317638-1 3.163387-1 8.511380-1 3.008852-1 8.609938-1 2.934619-1 8.709636-1 2.862228-1 8.810489-1 2.793085-1 8.912509-1 2.725620-1 9.015711-1 2.659835-1 9.120108-1 2.595640-1 9.225714-1 2.532995-1 9.440609-1 2.412222-1 9.549926-1 2.354223-1 9.660509-1 2.299616-1 9.772372-1 2.246284-1 9.885531-1 2.194230-1 1.000000+0 2.143382-1 1.011579+0 2.093716-1 1.022000+0 2.050471-1 1.023293+0 2.045199-1 1.035142+0 1.997945-1 1.059254+0 1.908813-1 1.071519+0 1.865752-1 1.096478+0 1.782520-1 1.109175+0 1.742306-1 1.122018+0 1.703009-1 1.135011+0 1.664604-1 1.148154+0 1.627089-1 1.161449+0 1.590421-1 1.174898+0 1.555805-1 1.188600+0 1.521705-1 1.202264+0 1.488827-1 1.216186+0 1.456427-1 1.230269+0 1.424743-1 1.244515+0 1.393764-1 1.273503+0 1.333814-1 1.288250+0 1.304812-1 1.318257+0 1.250572-1 1.333521+0 1.224306-1 1.348963+0 1.198591-1 1.364583+0 1.173421-1 1.396368+0 1.124657-1 1.412538+0 1.101040-1 1.428894+0 1.077933-1 1.462177+0 1.034624-1 1.479108+0 1.013627-1 1.513561+0 9.729049-2 1.531087+0 9.531616-2 1.548817+0 9.338200-2 1.566751+0 9.148850-2 1.584893+0 8.963339-2 1.603245+0 8.781594-2 1.640590+0 8.440907-2 1.698244+0 7.954505-2 1.717908+0 7.798688-2 1.737801+0 7.645928-2 1.778279+0 7.349573-2 1.798871+0 7.205730-2 1.819701+0 7.069597-2 1.840772+0 6.936037-2 1.862087+0 6.805001-2 1.905461+0 6.550304-2 1.927525+0 6.426555-2 1.949845+0 6.305156-2 2.000000+0 6.045611-2 2.018366+0 5.954836-2 2.065380+0 5.739968-2 2.137962+0 5.432118-2 2.162719+0 5.333213-2 2.213095+0 5.140797-2 2.264644+0 4.955473-2 2.290868+0 4.865330-2 2.344229+0 4.695980-2 2.426610+0 4.452943-2 2.454709+0 4.374758-2 2.511886+0 4.222501-2 2.570396+0 4.075656-2 2.600160+0 4.004162-2 2.660725+0 3.869674-2 2.786121+0 3.614096-2 2.818383+0 3.552884-2 2.884032+0 3.433564-2 2.951209+0 3.318343-2 2.985383+0 3.262191-2 3.054921+0 3.156514-2 3.198895+0 2.955318-2 3.235937+0 2.907055-2 3.311311+0 2.812892-2 3.349654+0 2.766991-2 3.427678+0 2.677431-2 3.467369+0 2.633745-2 3.548134+0 2.551424-2 3.715352+0 2.394420-2 3.758374+0 2.356703-2 3.845918+0 2.283047-2 3.890451+0 2.247111-2 4.000000+0 2.162749-2 4.073803+0 2.108944-2 4.168694+0 2.045175-2 4.365158+0 1.923364-2 4.415704+0 1.894062-2 4.518559+0 1.836796-2 4.570882+0 1.808834-2 4.677351+0 1.754186-2 4.786301+0 1.701190-2 4.897788+0 1.651546-2 5.128614+0 1.556562-2 5.188000+0 1.533682-2 5.308844+0 1.488931-2 5.370318+0 1.467062-2 5.495409+0 1.424286-2 5.688529+0 1.362450-2 5.821032+0 1.323858-2 6.237348+0 1.214518-2 6.382635+0 1.180116-2 6.531306+0 1.146692-2 6.606934+0 1.130347-2 6.760830+0 1.098355-2 6.918310+0 1.067269-2 7.000000+0 1.052290-2 7.079458+0 1.038086-2 7.413102+0 9.820935-3 7.498942+0 9.685737-3 7.762471+0 9.291242-3 7.852356+0 9.163420-3 8.222427+0 8.669506-3 8.511380+0 8.316630-3 8.709636+0 8.095581-3 8.810489+0 7.987269-3 9.332543+0 7.467067-3 9.440609+0 7.367165-3 9.660509+0 7.171369-3 9.772372+0 7.075485-3 1.023293+1 6.704622-3 1.071519+1 6.353206-3 1.100000+1 6.166387-3 1.109175+1 6.108386-3 1.174898+1 5.721142-3 1.188502+1 5.646694-3 1.202264+1 5.573212-3 1.230269+1 5.429112-3 1.244515+1 5.358503-3 1.303167+1 5.085156-3 1.364583+1 4.825758-3 1.380384+1 4.764509-3 1.412538+1 4.644330-3 1.428894+1 4.585385-3 1.531087+1 4.247090-3 1.548817+1 4.193183-3 1.566751+1 4.139963-3 1.621810+1 3.984332-3 1.640590+1 3.933791-3 1.698244+1 3.785993-3 1.778279+1 3.597537-3 1.800000+1 3.550506-3 1.840772+1 3.465345-3 1.862087+1 3.422370-3 2.041738+1 3.097210-3 2.113489+1 2.983404-3 2.264644+1 2.768197-3 2.290868+1 2.733885-3 2.371374+1 2.633489-3 2.426610+1 2.568615-3 2.454709+1 2.537376-3 2.483133+1 2.506577-3 2.511886+1 2.476153-3 2.754229+1 2.245676-3 2.951209+1 2.087010-3 2.985383+1 2.061677-3 3.388442+1 1.802529-3 3.427678+1 1.780658-3 3.548134+1 1.716633-3 3.589219+1 1.695808-3 3.630781+1 1.675643-3 3.672823+1 1.655718-3 3.935501+1 1.541048-3 4.216965+1 1.434319-3 4.265795+1 1.417264-3 5.069907+1 1.184483-3 5.128614+1 1.170402-3 5.188000+1 1.156489-3 5.559043+1 1.076420-3 5.688529+1 1.050982-3 5.754399+1 1.038641-3 5.821032+1 1.026445-3 5.888437+1 1.014408-3 5.956621+1 1.002512-3 6.095369+1 9.791373-4 6.839116+1 8.701882-4 7.244360+1 8.203476-4 7.328245+1 8.107275-4 8.511380+1 6.954693-4 8.709636+1 6.792571-4 8.810489+1 6.712933-4 9.660509+1 6.108586-4 1.000000+2 5.896258-4 1.047129+2 5.627169-4 1.059254+2 5.561903-4 1.083927+2 5.433633-4 1.109175+2 5.308320-4 1.288250+2 4.561328-4 1.380384+2 4.252966-4 1.396368+2 4.203638-4 1.698244+2 3.447427-4 1.737801+2 3.367933-4 1.757924+2 3.328875-4 1.927525+2 3.032301-4 1.995262+2 2.928031-4 2.089296+2 2.795335-4 2.113489+2 2.763135-4 2.162719+2 2.699843-4 2.213095+2 2.638001-4 2.570396+2 2.269142-4 2.754229+2 2.116757-4 2.786121+2 2.092374-4 3.388442+2 1.718306-4 3.467369+2 1.678950-4 3.507519+2 1.659612-4 3.845918+2 1.512716-4 3.981072+2 1.461047-4 8.317638+2 6.978770-5 8.413951+2 6.898696-5 8.609938+2 6.741293-5 8.810489+2 6.587482-5 1.023293+3 5.669763-5 1.096478+3 5.290463-5 1.109175+3 5.229759-5 1.348963+3 4.298139-5 1.380384+3 4.200077-5 1.396368+3 4.151888-5 1.531087+3 3.785761-5 1.584893+3 3.656945-5 5.248075+4 1.103253-6 5.308844+4 1.090621-6 5.432503+4 1.065789-6 1.000000+5 5.788970-7 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.130000-6 5.130000-6 5.240000-6 5.130000-6 5.240000-6 5.171741-6 5.680000-6 5.172068-6 5.680000-6 5.312688-6 6.350000-6 5.248189-6 7.200000-6 5.205321-6 8.810489-6 5.178784-6 1.870000-5 5.180245-6 3.214000-5 5.205020-6 3.214000-5 9.776766-6 3.371000-5 9.789421-6 3.371000-5 1.004720-5 5.335000-5 1.012527-5 5.335000-5 1.061217-5 6.735400-5 1.135205-5 7.330000-5 1.159203-5 7.950000-5 1.175360-5 8.570000-5 1.183112-5 9.500000-5 1.184522-5 1.450000-4 1.154390-5 1.665100-4 1.145701-5 1.665100-4 1.556781-5 1.677000-4 1.557815-5 1.687400-4 1.565368-5 1.687400-4 1.719460-5 1.698500-4 1.730660-5 1.711000-4 1.754867-5 1.723000-4 1.790381-5 1.735000-4 1.836135-5 1.773000-4 2.003993-5 1.788000-4 2.061653-5 1.805000-4 2.115612-5 1.828000-4 2.171083-5 1.855000-4 2.217092-5 1.885000-4 2.253066-5 1.930000-4 2.289186-5 1.990000-4 2.317936-5 2.080000-4 2.339927-5 2.264644-4 2.359056-5 2.600160-4 2.372657-5 2.999200-4 2.376698-5 2.999200-4 2.477908-5 3.122600-4 2.486066-5 3.122600-4 2.527356-5 3.857900-4 2.572498-5 3.857900-4 2.659511-5 5.623413-4 2.770332-5 7.413102-4 2.858734-5 9.500000-4 2.940042-5 1.230269-3 3.025659-5 1.584893-3 3.108405-5 2.041738-3 3.188574-5 2.081500-3 3.194474-5 2.081500-3 4.956523-5 2.159700-3 4.967194-5 2.159700-3 5.179762-5 2.354900-3 5.189376-5 2.354900-3 5.500296-5 3.427678-3 5.620786-5 5.069907-3 5.762603-5 7.244360-3 5.902950-5 1.035142-2 6.050895-5 1.412538-2 6.181693-5 1.700000-2 6.258183-5 1.700000-2 6.965473-5 3.235937-2 7.010599-5 8.035261-2 7.044259-5 3.548134-1 7.064197-5 1.000000+5 7.068156-5 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.130000-6 0.0 3.214000-5 0.0 3.214000-5 1.166045-9 3.371000-5 1.169069-9 3.371000-5 1.265603-9 5.335000-5 1.283256-9 5.335000-5 1.300463-9 6.309573-5 1.321100-9 7.079458-5 1.327755-9 8.035261-5 1.323894-9 1.122018-4 1.288484-9 1.338300-4 1.273847-9 1.640590-4 1.265408-9 1.665100-4 1.265144-9 1.665100-4 1.688541-9 1.677000-4 1.689811-9 1.687400-4 1.697766-9 1.687400-4 9.871630-9 1.692500-4 9.807690-9 1.698500-4 9.754923-9 1.705000-4 9.729481-9 1.711000-4 9.742799-9 1.715000-4 9.761861-9 1.721200-4 9.835145-9 1.725000-4 9.894976-9 1.730000-4 1.000386-8 1.735000-4 1.014134-8 1.740000-4 1.030217-8 1.745000-4 1.049428-8 1.752000-4 1.080032-8 1.760000-4 1.119800-8 1.773000-4 1.191302-8 1.798871-4 1.339871-8 1.812400-4 1.410617-8 1.827000-4 1.477999-8 1.835000-4 1.510841-8 1.845000-4 1.547711-8 1.855000-4 1.580228-8 1.875000-4 1.634853-8 1.900000-4 1.688953-8 1.930000-4 1.740071-8 1.960000-4 1.781246-8 1.995262-4 1.817868-8 2.030000-4 1.847650-8 2.070000-4 1.872979-8 2.120000-4 1.894048-8 2.190000-4 1.913142-8 2.350000-4 1.940216-8 2.520000-4 1.958523-8 2.884032-4 1.975696-8 2.999200-4 1.978907-8 2.999200-4 2.095352-8 3.122600-4 2.106725-8 3.122600-4 2.242371-8 3.672823-4 2.310222-8 3.857900-4 2.330506-8 3.857900-4 2.455365-8 5.011872-4 2.591315-8 5.900000-4 2.682507-8 7.244360-4 2.798759-8 8.810489-4 2.909874-8 1.047129-3 3.009209-8 1.273503-3 3.119738-8 1.513561-3 3.214422-8 1.757924-3 3.294665-8 2.081500-3 3.380734-8 2.081500-3 3.865315-5 2.159700-3 3.882169-5 2.159700-3 4.454983-5 2.354900-3 4.466334-5 2.354900-3 4.580215-5 4.120975-3 4.594152-5 1.700000-2 4.547492-5 1.700000-2 9.279802-3 2.264644-2 9.382084-3 3.162278-2 9.461441-3 4.786301-2 9.522498-3 8.709636-2 9.566251-3 2.951209-1 9.587845-3 3.758374+0 9.599704-3 1.000000+5 9.599567-3 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.130000-6 0.0 5.240000-6 1.100000-7 5.240000-6 6.825925-8 5.680000-6 5.079321-7 5.680000-6 3.673122-7 5.960000-6 6.781987-7 6.237348-6 9.806548-7 6.606934-6 1.375478-6 7.200000-6 1.994679-6 8.035261-6 2.848768-6 1.035142-5 5.177164-6 3.214000-5 2.693498-5 3.214000-5 2.236207-5 3.371000-5 2.391941-5 3.371000-5 2.366153-5 5.335000-5 4.322345-5 5.335000-5 4.273653-5 7.330000-5 6.170665-5 9.015711-5 7.830646-5 1.665100-4 1.550517-4 1.665100-4 1.509405-4 1.687400-4 1.530846-4 1.687400-4 1.515355-4 1.725000-4 1.545158-4 1.803000-4 1.591881-4 1.875000-4 1.650594-4 2.030000-4 1.796828-4 2.999200-4 2.761332-4 2.999200-4 2.751200-4 3.122600-4 2.873783-4 3.122600-4 2.869640-4 3.857900-4 3.600417-4 3.857900-4 3.591703-4 1.659587-3 1.628321-3 2.081500-3 2.049521-3 2.081500-3 1.993282-3 2.159700-3 2.071206-3 2.159700-3 2.063353-3 2.354900-3 2.258343-3 2.354900-3 2.254095-3 1.700000-2 1.689194-2 1.700000-2 7.650543-3 2.290868-2 1.345373-2 4.120975-2 3.163386-2 1.000000+5 9.999999+4 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.700000-2 1.297514+4 1.740000-2 1.226196+4 1.760000-2 1.187002+4 1.820000-2 1.092976+4 1.949845-2 9.135097+3 2.137962-2 7.217286+3 2.660725-2 4.039297+3 3.311311-2 2.227577+3 4.168694-2 1.173686+3 5.188000-2 6.311376+2 6.382635-2 3.475186+2 8.035261-2 1.775809+2 1.059254-1 7.866671+1 1.862087-1 1.478515+1 2.264644-1 8.329271+0 2.660725-1 5.227325+0 3.090295-1 3.414539+0 3.507519-1 2.397656+0 3.935501-1 1.750151+0 4.415705-1 1.287024+0 4.897788-1 9.826558-1 5.432503-1 7.555040-1 6.025596-1 5.851964-1 6.606935-1 4.694791-1 7.161434-1 3.893613-1 7.852356-1 3.167324-1 8.709636-1 2.529098-1 9.549926-1 2.080447-1 1.035142+0 1.765717-1 1.161449+0 1.405648-1 1.288250+0 1.153164-1 1.428894+0 9.526452-2 1.603245+0 7.760866-2 1.798871+0 6.368204-2 2.018366+0 5.262689-2 2.290868+0 4.299807-2 2.600160+0 3.538738-2 2.985383+0 2.883025-2 3.467369+0 2.327618-2 4.073803+0 1.863814-2 4.786301+0 1.503453-2 5.688529+0 1.204083-2 6.918310+0 9.432148-3 8.511380+0 7.349950-3 1.071519+1 5.614737-3 1.364583+1 4.264835-3 1.778279+1 3.179378-3 2.426610+1 2.270035-3 3.589219+1 1.498703-3 5.688529+1 9.288130-4 1.000000+2 5.210800-4 1.995262+2 2.587689-4 3.981072+2 1.291133-4 1.584893+3 3.231748-5 1.000000+5 5.116200-7 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.700000-2 7.086200-5 1.000000+5 7.086200-5 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.700000-2 1.085600-2 1.000000+5 1.085600-2 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.700000-2 6.073138-3 1.000000+5 9.999999+4 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.354900-3 5.611084+4 2.818383-3 4.227791+4 3.090295-3 3.610854+4 3.801894-3 2.518203+4 4.120975-3 2.172265+4 4.954502-3 1.533971+4 5.500000-3 1.248858+4 6.309573-3 9.474685+3 7.161434-3 7.282112+3 8.128305-3 5.564364+3 9.549926-3 3.911621+3 1.096478-2 2.868023+3 1.244515-2 2.144858+3 1.445440-2 1.509966+3 1.678804-2 1.054525+3 1.972423-2 7.102906+2 2.317395-2 4.743548+2 2.722701-2 3.142162+2 3.162278-2 2.128598+2 3.715352-2 1.389505+2 4.415704-2 8.728016+1 5.248075-2 5.440959+1 6.309573-2 3.261087+1 7.673615-2 1.878343+1 9.549926-2 1.005827+1 1.258925-1 4.528562+0 1.949845-1 1.273467+0 2.426610-1 6.783437-1 2.851018-1 4.293501-1 3.273407-1 2.920239-1 3.715352-1 2.064594-1 4.168694-1 1.516160-1 4.677351-1 1.121320-1 5.188000-1 8.605515-2 5.754399-1 6.651304-2 6.382635-1 5.179614-2 6.918310-1 4.289948-2 7.673615-1 3.392775-2 8.511380-1 2.703462-2 9.440609-1 2.167502-2 1.023293+0 1.837924-2 1.161449+0 1.429696-2 1.288250+0 1.172911-2 1.428894+0 9.689609-3 1.603245+0 7.893609-3 1.798871+0 6.476989-3 2.018366+0 5.352767-3 2.290868+0 4.373614-3 2.600160+0 3.599451-3 2.985383+0 2.932379-3 3.467369+0 2.367457-3 4.073803+0 1.895710-3 4.786301+0 1.529175-3 5.688529+0 1.224715-3 6.918310+0 9.593669-4 8.511380+0 7.475732-4 1.071519+1 5.710804-4 1.364583+1 4.337810-4 1.778279+1 3.233791-4 2.454709+1 2.280606-4 3.589219+1 1.524410-4 5.821032+1 9.225256-5 1.047129+2 5.057318-5 2.089296+2 2.512411-5 8.317638+2 6.269404-6 5.248075+4 9.916707-8 1.000000+5 5.203800-8 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.354900-3 7.649200-5 1.000000+5 7.649200-5 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.354900-3 5.367300-5 1.000000+5 5.367300-5 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.354900-3 2.224735-3 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.159700-3 1.324044+5 2.290868-3 1.161400+5 2.430000-3 1.007100+5 2.570396-3 8.721000+4 3.054921-3 5.514200+4 3.427678-3 4.045600+4 3.672823-3 3.349900+4 4.365158-3 2.065000+4 5.011872-3 1.386400+4 5.623413-3 9.906800+3 6.683439-3 5.918700+3 7.585776-3 4.028400+3 8.810489-3 2.539900+3 1.047129-2 1.477500+3 1.230269-2 8.835800+2 1.445440-2 5.243200+2 1.717908-2 2.974000+2 2.041738-2 1.674100+2 2.454709-2 9.001100+1 3.000000-2 4.542200+1 3.715352-2 2.173700+1 4.786301-2 9.004300+0 1.011580-1 6.532300-1 1.258925-1 3.053000-1 1.513561-1 1.620100-1 1.778279-1 9.371300-2 2.018366-1 6.132000-2 2.344229-1 3.743047-2 2.660725-1 2.482548-2 3.000060-1 1.694277-2 3.349654-1 1.201118-2 3.758374-1 8.449572-3 4.168694-1 6.200208-3 4.623810-1 4.581560-3 5.128614-1 3.410749-3 5.623413-1 2.641522-3 6.095369-1 2.124192-3 6.683439-1 1.667788-3 7.328245-1 1.318303-3 8.609938-1 8.837970-4 9.225714-1 7.495879-4 9.772372-1 6.575253-4 1.035142+0 5.806030-4 1.109175+0 5.033214-4 1.188600+0 4.393712-4 1.318257+0 3.628233-4 1.479108+0 2.955036-4 1.717908+0 2.275991-4 1.927525+0 1.874492-4 2.162719+0 1.555261-4 2.454709+0 1.275854-4 2.818383+0 1.036122-4 3.235937+0 8.477372-5 3.758374+0 6.872578-5 4.415704+0 5.523800-5 5.188000+0 4.472585-5 6.382635+0 3.441764-5 7.498942+0 2.824596-5 9.440609+0 2.148339-5 1.202264+1 1.625307-5 1.566751+1 1.207322-5 2.113489+1 8.700656-6 2.985383+1 6.012025-6 4.265795+1 4.133074-6 7.328245+1 2.364216-6 1.396368+2 1.226137-6 2.786121+2 6.103506-7 1.109175+3 1.525859-7 1.000000+5 1.689800-9 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.159700-3 5.732700-5 1.000000+5 5.732700-5 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.159700-3 5.945000-5 1.000000+5 5.945000-5 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.159700-3 2.042923-3 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 2.081500-3 2.745915+5 2.145000-3 2.589544+5 2.168000-3 2.522208+5 2.190000-3 2.471604+5 2.290868-3 2.218212+5 2.400000-3 1.971172+5 2.630268-3 1.544369+5 3.235937-3 8.810728+4 3.548134-3 6.825958+4 4.216965-3 4.183183+4 4.731513-3 2.990296+4 5.432503-3 1.988881+4 6.382635-3 1.222468+4 7.244360-3 8.286998+3 8.413951-3 5.196169+3 9.800000-3 3.203492+3 1.148154-2 1.922703+3 1.350000-2 1.131320+3 1.584893-2 6.638159+2 1.883649-2 3.708778+2 2.238721-2 2.055677+2 2.660725-2 1.131116+2 3.198895-2 5.936254+1 3.845918-2 3.094424+1 4.731513-2 1.476284+1 6.244590-2 5.435040+0 1.096478-1 7.090118-1 1.348963-1 3.372705-1 1.640590-1 1.685666-1 1.883649-1 1.040087-1 2.137962-1 6.725765-2 2.426610-1 4.381470-2 2.722701-1 2.990214-2 3.019952-1 2.135191-2 3.349654-1 1.536074-2 3.672823-1 1.154017-2 4.027170-1 8.729547-3 4.415705-1 6.653013-3 4.841724-1 5.108645-3 5.248075-1 4.081018-3 5.754399-1 3.180969-3 6.309573-1 2.498979-3 6.918310-1 1.978207-3 7.498942-1 1.622838-3 8.128305-1 1.339630-3 8.912509-1 1.083113-3 9.549926-1 9.293522-4 1.022000+0 8.055645-4 1.122018+0 6.667773-4 1.216186+0 5.701431-4 1.348963+0 4.701779-4 1.531087+0 3.747818-4 1.737801+0 3.007032-4 1.949845+0 2.479127-4 2.213095+0 2.021320-4 2.511886+0 1.660328-4 2.884032+0 1.350035-4 3.311311+0 1.105853-4 3.845918+0 8.975320-5 4.518559+0 7.221366-5 5.308844+0 5.853300-5 6.531306+0 4.508452-5 7.762471+0 3.652585-5 9.660509+0 2.818971-5 1.230269+1 2.134189-5 1.621810+1 1.566387-5 2.264644+1 1.088378-5 3.427678+1 7.003168-6 5.188000+1 4.548296-6 8.810489+1 2.639637-6 1.757924+2 1.309306-6 3.507519+2 6.527645-7 1.396368+3 1.633259-7 1.000000+5 2.277800-9 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 2.081500-3 5.588300-5 1.000000+5 5.588300-5 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.081500-3 5.250000-5 1.000000+5 5.250000-5 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.081500-3 1.973117-3 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 3.857900-4 1.702300+5 4.550000-4 1.432356+5 4.786301-4 1.360391+5 5.370318-4 1.201956+5 5.580000-4 1.149664+5 6.606934-4 9.309982+4 7.161434-4 8.359658+4 8.413951-4 6.655154+4 9.225714-4 5.809336+4 1.083927-3 4.530842+4 1.216186-3 3.768768+4 1.412538-3 2.944375+4 1.650000-3 2.258120+4 1.900000-3 1.762188+4 2.213095-3 1.338310+4 2.600160-3 9.927335+3 3.054921-3 7.306992+3 3.589219-3 5.336181+3 4.216965-3 3.866706+3 4.897788-3 2.847200+3 5.688529-3 2.082558+3 6.683439-3 1.476163+3 7.852356-3 1.038471+3 9.225714-3 7.250482+2 1.083927-2 5.023394+2 1.258925-2 3.547967+2 1.479108-2 2.420977+2 1.737801-2 1.638825+2 2.041738-2 1.100694+2 2.398833-2 7.335711+1 2.818383-2 4.852369+1 3.311311-2 3.186147+1 3.935501-2 2.014324+1 4.677351-2 1.263747+1 5.559043-2 7.870419+0 6.683439-2 4.714081+0 8.128305-2 2.714325+0 1.023293-1 1.405984+0 2.065380-1 1.847567-1 2.511886-1 1.054456-1 2.951209-1 6.690148-2 3.388442-1 4.559342-2 3.845918-1 3.230270-2 4.315191-1 2.377740-2 4.841724-1 1.763229-2 5.370318-1 1.356778-2 5.956621-1 1.051518-2 6.606935-1 8.212853-3 7.328245-1 6.465068-3 8.128305-1 5.129233-3 8.912509-1 4.202159-3 9.772372-1 3.468547-3 1.135011+0 2.571417-3 1.230269+0 2.202097-3 1.412538+0 1.702955-3 1.548817+0 1.442376-3 1.737801+0 1.180936-3 1.949845+0 9.739517-4 2.213095+0 7.940961-4 2.511886+0 6.522829-4 2.884032+0 5.303996-4 3.311311+0 4.344708-4 3.845918+0 3.526222-4 4.518559+0 2.837061-4 5.308844+0 2.299603-4 6.531306+0 1.771259-4 7.762471+0 1.434970-4 9.660509+0 1.107478-4 1.230269+1 8.384789-5 1.621810+1 6.153926-5 2.264644+1 4.276136-5 3.388442+1 2.784943-5 5.069907+1 1.829991-5 8.511380+1 1.074255-5 1.698244+2 5.326660-6 3.388442+2 2.654997-6 1.348963+3 6.642578-7 1.000000+5 8.948700-9 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 3.857900-4 4.572500-5 1.000000+5 4.572500-5 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.857900-4 5.200400-8 1.000000+5 5.200400-8 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.857900-4 3.400130-4 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 3.122600-4 1.931108+5 3.330000-4 1.951352+5 3.507519-4 1.960449+5 3.672823-4 1.959573+5 3.801894-4 1.948105+5 4.120975-4 1.908272+5 4.280000-4 1.880706+5 4.518559-4 1.827647+5 4.786301-4 1.760507+5 5.069907-4 1.684997+5 5.495409-4 1.569155+5 5.821032-4 1.480433+5 6.237348-4 1.369548+5 6.760830-4 1.241855+5 7.244360-4 1.134647+5 7.800000-4 1.022492+5 8.511380-4 8.978677+4 9.225714-4 7.912827+4 1.011579-3 6.792280+4 1.110000-3 5.784660+4 1.216186-3 4.902892+4 1.355400-3 3.996015+4 1.479108-3 3.366977+4 1.659587-3 2.664173+4 1.819701-3 2.194279+4 2.041738-3 1.708476+4 2.290868-3 1.318753+4 2.540973-3 1.037579+4 2.851018-3 7.889595+3 3.198895-3 5.953215+3 3.589219-3 4.459033+3 4.027170-3 3.316325+3 4.518559-3 2.449586+3 5.128614-3 1.741853+3 5.821032-3 1.229143+3 6.606934-3 8.609876+2 7.500000-3 5.986300+2 8.609938-3 3.999259+2 9.885531-3 2.649475+2 1.135011-2 1.741619+2 1.303167-2 1.136646+2 1.513561-2 7.103222+1 1.757924-2 4.404203+1 2.041738-2 2.711225+1 2.398833-2 1.595993+1 2.851018-2 8.977403+0 3.427678-2 4.822901+0 4.216965-2 2.378261+0 5.370318-2 1.033624+0 1.109175-1 8.329171-2 1.380384-1 3.926241-2 1.659587-1 2.098807-2 1.927525-1 1.270166-2 2.213095-1 8.042904-3 2.511886-1 5.325597-3 2.851018-1 3.551976-3 3.198895-1 2.475260-3 3.589219-1 1.737697-3 4.000000-1 1.254680-3 4.466836-1 9.076733-4 4.954502-1 6.747881-4 5.495409-1 5.053414-4 6.025596-1 3.934030-4 6.606935-1 3.083881-4 7.244360-1 2.433767-4 8.317638-1 1.724168-4 8.912509-1 1.457570-4 9.440609-1 1.274202-4 1.000000+0 1.120819-4 1.071519+0 9.686128-5 1.148154+0 8.426574-5 1.216186+0 7.546616-5 1.348963+0 6.241297-5 1.584893+0 4.693076-5 1.798871+0 3.773389-5 2.018366+0 3.116971-5 2.290868+0 2.546733-5 2.600160+0 2.095919-5 2.985383+0 1.707498-5 3.467369+0 1.378599-5 4.073803+0 1.103929-5 4.786301+0 8.904811-6 5.688529+0 7.131771-6 6.918310+0 5.586423-6 8.511380+0 4.353171-6 1.071519+1 3.325430-6 1.364583+1 2.525920-6 1.778279+1 1.883056-6 2.454709+1 1.327968-6 3.589219+1 8.876125-7 5.821032+1 5.371940-7 1.047129+2 2.944881-7 2.089296+2 1.463027-7 8.317638+2 3.650726-8 5.248075+4 5.77477-10 1.000000+5 3.03020-10 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 3.122600-4 3.554700-5 1.000000+5 3.554700-5 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.122600-4 5.617400-8 1.000000+5 5.617400-8 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.122600-4 2.766568-4 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.999200-4 4.301288+5 3.040000-4 4.369319+5 3.115000-4 4.445166+5 3.200000-4 4.490856+5 3.350000-4 4.531832+5 3.430000-4 4.531434+5 3.550000-4 4.505248+5 3.758374-4 4.416131+5 4.050000-4 4.272600+5 4.265795-4 4.142763+5 4.518559-4 3.975130+5 4.731513-4 3.829977+5 5.069907-4 3.595548+5 5.400000-4 3.374432+5 5.754399-4 3.140975+5 6.237348-4 2.843649+5 6.760830-4 2.557274+5 7.244360-4 2.319596+5 7.852356-4 2.054854+5 8.609938-4 1.776961+5 9.332543-4 1.554436+5 1.035142-3 1.297744+5 1.135011-3 1.097639+5 1.258925-3 9.018628+4 1.380384-3 7.524532+4 1.531087-3 6.091933+4 1.678804-3 5.018611+4 1.883649-3 3.907240+4 2.089296-3 3.096022+4 2.317395-3 2.437831+4 2.600160-3 1.854590+4 2.900000-3 1.420904+4 3.235937-3 1.080253+4 3.650000-3 7.932520+3 4.150000-3 5.658040+3 4.731513-3 3.970961+3 5.370318-3 2.798438+3 6.095369-3 1.957020+3 6.918310-3 1.358513+3 7.800000-3 9.551680+2 8.912509-3 6.411677+2 1.035142-2 4.060806+2 1.188502-2 2.642451+2 1.364583-2 1.706614+2 1.566751-2 1.094221+2 1.819701-2 6.707878+1 2.113489-2 4.081258+1 2.483133-2 2.371431+1 2.917427-2 1.367724+1 3.467369-2 7.527448+0 4.168694-2 3.951430+0 5.128614-2 1.898922+0 6.606934-2 7.689612-1 1.161449-1 1.015664-1 1.428894-1 4.857449-2 1.678804-1 2.754770-2 1.927525-1 1.705262-2 2.187762-1 1.105824-2 2.454709-1 7.507590-3 2.754229-1 5.133901-3 3.054921-1 3.672174-3 3.388442-1 2.645962-3 3.715352-1 1.990463-3 4.073803-1 1.507550-3 4.466836-1 1.150150-3 4.897788-1 8.841438-4 5.308844-1 7.070485-4 5.754399-1 5.689437-4 6.237348-1 4.607142-4 6.760830-1 3.754499-4 7.413102-1 2.993908-4 8.317638-1 2.278234-4 9.015711-1 1.894109-4 9.660509-1 1.627944-4 1.035142+0 1.409189-4 1.135011+0 1.170523-4 1.230269+0 1.001876-4 1.364583+0 8.268636-5 1.566751+0 6.462610-5 1.778279+0 5.192657-5 2.000000+0 4.270800-5 2.264644+0 3.500794-5 2.570396+0 2.879310-5 2.951209+0 2.344186-5 3.427678+0 1.891420-5 4.000000+0 1.527700-5 4.677351+0 1.238973-5 5.495409+0 1.005850-5 6.760830+0 7.758131-6 8.222427+0 6.123155-6 1.023293+1 4.734704-6 1.303167+1 3.591138-6 1.698244+1 2.673853-6 2.371374+1 1.860279-6 3.548134+1 1.212853-6 5.559043+1 7.605120-7 9.660509+1 4.315504-7 1.927525+2 2.142479-7 3.845918+2 1.068732-7 1.531087+3 2.674889-8 1.000000+5 4.09070-10 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.999200-4 3.556500-5 1.000000+5 3.556500-5 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.999200-4 3.336300-8 1.000000+5 3.336300-8 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.999200-4 2.643216-4 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.687400-4 1.485468+5 1.692500-4 1.477444+5 1.698500-4 1.476900+5 1.705000-4 1.488384+5 1.710000-4 1.506812+5 1.715000-4 1.534652+5 1.720000-4 1.572660+5 1.725000-4 1.622308+5 1.730000-4 1.684668+5 1.735000-4 1.760480+5 1.740000-4 1.850708+5 1.745000-4 1.956180+5 1.752000-4 2.130288+5 1.760000-4 2.368404+5 1.770000-4 2.724288+5 1.785000-4 3.368516+5 1.795000-4 3.858452+5 1.803000-4 4.276080+5 1.812000-4 4.765280+5 1.820000-4 5.211680+5 1.827000-4 5.606920+5 1.835000-4 6.061640+5 1.845000-4 6.629640+5 1.855000-4 7.194080+5 1.865000-4 7.752800+5 1.875000-4 8.304400+5 1.885000-4 8.848280+5 1.900000-4 9.648280+5 1.915000-4 1.042688+6 1.930000-4 1.118056+6 1.945000-4 1.190484+6 1.960000-4 1.259600+6 1.975000-4 1.324708+6 1.990000-4 1.385472+6 2.010000-4 1.459644+6 2.030000-4 1.525232+6 2.050000-4 1.582592+6 2.070000-4 1.632288+6 2.090000-4 1.675448+6 2.120000-4 1.729384+6 2.150000-4 1.773328+6 2.190000-4 1.820764+6 2.240000-4 1.868480+6 2.300000-4 1.912416+6 2.350000-4 1.938684+6 2.400000-4 1.955592+6 2.454709-4 1.963176+6 2.520000-4 1.959096+6 2.600160-4 1.938847+6 2.691535-4 1.902897+6 2.800000-4 1.849972+6 2.917427-4 1.783684+6 3.019952-4 1.719268+6 3.150000-4 1.631772+6 3.280000-4 1.543224+6 3.467369-4 1.417734+6 3.672823-4 1.288746+6 3.850200-4 1.184274+6 4.073803-4 1.062554+6 4.365158-4 9.233502+5 4.677351-4 7.965796+5 5.011872-4 6.817480+5 5.432503-4 5.642611+5 5.900000-4 4.616920+5 6.456542-4 3.676103+5 7.079458-4 2.893277+5 7.762471-4 2.259727+5 8.609938-4 1.698894+5 9.500000-4 1.285540+5 1.047129-3 9.694750+4 1.174898-3 6.882391+4 1.303167-3 5.018740+4 1.462177-3 3.506162+4 1.650000-3 2.385560+4 1.850000-3 1.643912+4 2.065380-3 1.141066+4 2.300000-3 7.937640+3 2.570396-3 5.420395+3 2.900000-3 3.556384+3 3.273407-3 2.311677+3 3.672823-3 1.524509+3 4.168694-3 9.572878+2 4.800000-3 5.651480+2 5.495409-3 3.379659+2 6.309573-3 1.984127+2 7.244360-3 1.155905+2 8.222426-3 6.996434+1 9.440609-3 4.016332+1 1.083927-2 2.289119+1 1.258925-2 1.234925+1 1.462177-2 6.612431+0 1.717908-2 3.349579+0 2.089296-2 1.454430+0 2.600160-2 5.678665-1 3.427678-2 1.715763-1 6.606934-2 9.815303-3 8.317638-2 3.620786-3 1.000000-1 1.641906-3 1.174898-1 8.277060-4 1.364583-1 4.414837-4 1.548817-1 2.611416-4 1.757924-1 1.555671-4 1.972423-1 9.780051-5 2.213095-1 6.190376-5 2.454709-1 4.128548-5 2.722701-1 2.772247-5 3.019952-1 1.875304-5 3.349654-1 1.278956-5 3.672823-1 9.164104-6 4.027170-1 6.611189-6 4.415705-1 4.806157-6 4.897788-1 3.382172-6 5.432503-1 2.392720-6 5.888437-1 1.840084-6 6.095369-1 1.649736-6 6.531306-1 1.335900-6 7.079458-1 1.052106-6 8.035261-1 7.306723-7 8.609938-1 5.944300-7 9.120108-1 5.041006-7 9.549926-1 4.448267-7 9.885531-1 4.069922-7 1.023293+0 3.742092-7 1.071519+0 3.369102-7 1.122018+0 3.055023-7 1.174898+0 2.787975-7 1.244515+0 2.506407-7 1.348963+0 2.177385-7 1.513561+0 1.796163-7 1.819701+0 1.306994-7 2.018366+0 1.099803-7 2.290868+0 8.985376-8 2.600160+0 7.394910-8 2.985383+0 6.024778-8 3.467369+0 4.864195-8 4.073803+0 3.895027-8 4.786301+0 3.141984-8 5.688529+0 2.516310-8 6.918310+0 1.971062-8 8.511380+0 1.535951-8 1.071519+1 1.173302-8 1.380384+1 8.798072-9 1.800000+1 6.556500-9 2.454709+1 4.685684-9 3.589219+1 3.131937-9 5.754399+1 1.918056-9 1.047129+2 1.039037-9 2.089296+2 5.16202-10 8.317638+2 1.28813-10 5.248075+4 2.03754-12 1.000000+5 1.06920-12 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.687400-4 2.443300-5 1.000000+5 2.443300-5 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.687400-4 4.826800-8 1.000000+5 4.826800-8 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.687400-4 1.442587-4 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.665100-4 2.190384+5 1.671000-4 2.182632+5 1.677000-4 2.188110+5 1.683000-4 2.210082+5 1.687000-4 2.234436+5 1.692000-4 2.277936+5 1.697000-4 2.336886+5 1.702000-4 2.412852+5 1.707000-4 2.507802+5 1.711000-4 2.598492+5 1.717000-4 2.760762+5 1.723000-4 2.956470+5 1.728500-4 3.166494+5 1.735000-4 3.453606+5 1.745000-4 3.977358+5 1.765000-4 5.296836+5 1.773000-4 5.906814+5 1.781000-4 6.550620+5 1.788000-4 7.134480+5 1.796000-4 7.817700+5 1.805000-4 8.598240+5 1.812400-4 9.243961+5 1.820000-4 9.906960+5 1.828000-4 1.060194+6 1.838000-4 1.146330+6 1.850000-4 1.248324+6 1.862087-4 1.349319+6 1.873000-4 1.438866+6 1.885000-4 1.535358+6 1.900000-4 1.652730+6 1.915000-4 1.765908+6 1.930000-4 1.874178+6 1.945000-4 1.976802+6 1.957000-4 2.054352+6 1.976400-4 2.170470+6 1.995262-4 2.271832+6 2.010000-4 2.343036+6 2.030000-4 2.428818+6 2.052900-4 2.512892+6 2.080000-4 2.595546+6 2.113489-4 2.677664+6 2.150000-4 2.748912+6 2.205000-4 2.832492+6 2.264644-4 2.901049+6 2.317395-4 2.944935+6 2.380000-4 2.976054+6 2.450000-4 2.984256+6 2.511886-4 2.971377+6 2.600160-4 2.929571+6 2.691535-4 2.868487+6 2.800000-4 2.782218+6 2.917427-4 2.676086+6 3.019952-4 2.574391+6 3.150000-4 2.438274+6 3.311311-4 2.269403+6 3.507519-4 2.070864+6 3.715352-4 1.875840+6 3.935501-4 1.685469+6 4.168694-4 1.503022+6 4.466836-4 1.300564+6 4.786301-4 1.117677+6 5.150000-4 9.441060+5 5.623413-4 7.646503+5 6.095369-4 6.258316+5 6.700000-4 4.907934+5 7.328245-4 3.870964+5 8.035261-4 3.012888+5 8.810489-4 2.329793+5 9.772372-4 1.731840+5 1.083927-3 1.277363+5 1.202264-3 9.353716+4 1.350000-3 6.546360+4 1.513561-3 4.565002+4 1.678804-3 3.271231+4 1.862087-3 2.330303+4 2.113489-3 1.526938+4 2.400000-3 9.902100+3 2.722701-3 6.387603+3 3.090295-3 4.078404+3 3.467369-3 2.693007+3 3.900000-3 1.750278+3 4.415704-3 1.102510+3 5.069907-3 6.537942+2 5.754399-3 4.019458+2 6.606934-3 2.345751+2 7.585776-3 1.358125+2 8.709636-3 7.804239+1 9.885531-3 4.663471+1 1.135011-2 2.639833+1 1.318257-2 1.413927+1 1.531087-2 7.516011+0 1.798871-2 3.776331+0 2.187762-2 1.623424+0 2.691535-2 6.588342-1 3.467369-2 2.169353-1 4.518559-2 6.741959-2 6.606934-2 1.251607-2 8.222426-2 4.778180-3 9.772372-2 2.249515-3 1.135011-1 1.179084-3 1.303167-1 6.541888-4 1.479108-1 3.839864-4 1.659587-1 2.381474-4 1.840772-1 1.559217-4 2.041738-1 1.027902-4 2.264644-1 6.828422-5 2.483133-1 4.779328-5 2.722701-1 3.367935-5 3.000000-1 2.347872-5 3.273407-1 1.708574-5 3.548134-1 1.281609-5 3.845918-1 9.675442-6 4.216965-1 7.072567-6 4.518559-1 5.627528-6 4.841724-1 4.507811-6 5.069907-1 3.906614-6 5.495409-1 3.071414-6 6.683439-1 1.740397-6 7.161434-1 1.432911-6 7.585776-1 1.225446-6 8.035261-1 1.054251-6 8.511380-1 9.127596-7 9.015711-1 7.954317-7 9.549926-1 6.978892-7 1.011579+0 6.166387-7 1.109175+0 5.105800-7 1.202264+0 4.360303-7 1.318257+0 3.671785-7 1.462177+0 3.047711-7 1.698244+0 2.345278-7 1.905461+0 1.930600-7 2.137962+0 1.600917-7 2.426610+0 1.312477-7 2.786121+0 1.065099-7 3.198895+0 8.708898-8 3.715352+0 7.056217-8 4.365158+0 5.668412-8 5.128614+0 4.587174-8 6.237348+0 3.579476-8 7.413102+0 2.894362-8 9.332543+0 2.200518-8 1.188502+1 1.664049-8 1.548817+1 1.235720-8 2.113489+1 8.792343-9 2.951209+1 6.150259-9 4.216965+1 4.226923-9 7.244360+1 2.417504-9 1.380384+2 1.253685-9 2.754229+2 6.23972-10 1.096478+3 1.55987-10 1.000000+5 1.70760-12 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.665100-4 2.455900-5 1.000000+5 2.455900-5 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.665100-4 2.614600-9 1.000000+5 2.614600-9 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.665100-4 1.419484-4 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 5.335000-5 1.625042+5 5.559043-5 1.709379+5 5.850000-5 1.806152+5 6.165950-5 1.897726+5 6.531306-5 1.988914+5 6.900000-5 2.064560+5 7.244360-5 2.119670+5 7.585776-5 2.159022+5 7.943282-5 2.183807+5 8.317638-5 2.192692+5 8.709636-5 2.185280+5 9.150000-5 2.160140+5 9.549926-5 2.125823+5 1.011579-4 2.065377+5 1.083927-4 1.978267+5 1.174898-4 1.865835+5 1.273503-4 1.748097+5 1.380384-4 1.626879+5 1.496236-4 1.502439+5 1.621810-4 1.377088+5 1.800000-4 1.219704+5 2.018366-4 1.059709+5 2.238721-4 9.272547+4 2.500000-4 7.982460+4 2.917427-4 6.416500+4 3.350000-4 5.241020+4 4.027170-4 3.963862+4 4.731513-4 3.083545+4 5.821032-4 2.214951+4 7.328245-4 1.519407+4 9.120108-4 1.053129+4 1.109175-3 7.530909+3 1.333521-3 5.453891+3 1.584893-3 4.001873+3 1.905461-3 2.854044+3 2.264644-3 2.063606+3 2.691535-3 1.481423+3 3.235937-3 1.032295+3 3.845918-3 7.304278+2 4.570882-3 5.130322+2 5.370318-3 3.663249+2 6.309573-3 2.597125+2 7.413102-3 1.828155+2 8.709636-3 1.277764+2 1.023293-2 8.866054+1 1.202264-2 6.106420+1 1.412538-2 4.174024+1 1.659587-2 2.830958+1 1.949845-2 1.905215+1 2.290868-2 1.272477+1 2.691535-2 8.438226+0 3.162278-2 5.554150+0 3.758374-2 3.519346+0 4.466836-2 2.212956+0 5.248075-2 1.425515+0 6.309573-2 8.556117-1 7.762471-2 4.779886-1 9.772372-2 2.482921-1 1.303167-1 1.082338-1 2.000000-1 3.136901-2 2.454709-1 1.742482-2 2.884032-1 1.104495-2 3.349654-1 7.284511-3 3.801894-1 5.157938-3 4.265795-1 3.794108-3 4.786301-1 2.811399-3 5.308844-1 2.161677-3 5.888437-1 1.673995-3 6.531306-1 1.306348-3 7.244360-1 1.027472-3 8.035261-1 8.145531-4 8.810489-1 6.667423-4 9.660509-1 5.498240-4 1.122018+0 4.072737-4 1.216186+0 3.484431-4 1.396368+0 2.692879-4 1.548817+0 2.233187-4 1.737801+0 1.828492-4 1.949845+0 1.507947-4 2.213095+0 1.229319-4 2.511886+0 1.009776-4 2.884032+0 8.211560-5 3.349654+0 6.617691-5 3.890451+0 5.373969-5 4.570882+0 4.325968-5 5.370318+0 3.508266-5 6.606934+0 2.703404-5 7.852356+0 2.191196-5 9.772372+0 1.691849-5 1.244515+1 1.281323-5 1.640590+1 9.407261-6 2.290868+1 6.538809-6 3.427678+1 4.259664-6 5.188000+1 2.766519-6 8.810489+1 1.605596-6 1.757924+2 7.963849-7 3.507519+2 3.970464-7 1.396368+3 9.934764-8 1.000000+5 1.385500-9 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 5.335000-5 1.586800-5 1.000000+5 1.586800-5 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 5.335000-5 1.486200-9 1.000000+5 1.486200-9 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 5.335000-5 3.748051-5 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 3.371000-5 3.827220+6 3.427678-5 3.654170+6 3.500000-5 3.423320+6 3.600000-5 3.110500+6 3.715352-5 2.774682+6 3.850000-5 2.422860+6 4.000000-5 2.082700+6 4.168694-5 1.757373+6 4.400000-5 1.396572+6 4.731513-5 1.016402+6 5.188000-5 6.777896+5 5.500000-5 5.274200+5 5.754399-5 4.371235+5 6.000000-5 3.698940+5 6.237348-5 3.189236+5 6.456542-5 2.812481+5 6.683439-5 2.496839+5 6.918310-5 2.233073+5 7.161434-5 2.013262+5 7.400000-5 1.839288+5 7.585776-5 1.726949+5 7.800000-5 1.618048+5 8.035261-5 1.519474+5 8.300000-5 1.429800+5 8.570000-5 1.356768+5 8.810489-5 1.304129+5 9.120108-5 1.249787+5 9.440609-5 1.205719+5 9.800000-5 1.167102+5 1.023293-4 1.131248+5 1.083927-4 1.093828+5 1.174898-4 1.052959+5 1.428894-4 9.695057+4 1.580000-4 9.227560+4 1.720000-4 8.789640+4 1.883649-4 8.283138+4 2.041738-4 7.809591+4 2.220000-4 7.297380+4 2.426610-4 6.740085+4 2.660725-4 6.161978+4 2.917427-4 5.598371+4 3.235937-4 4.987031+4 3.589219-4 4.405028+4 4.000000-4 3.840480+4 4.415704-4 3.367321+4 4.954502-4 2.866098+4 5.559043-4 2.421731+4 6.237348-4 2.030243+4 7.079458-4 1.658692+4 8.000000-4 1.353072+4 8.912509-4 1.122872+4 1.000000-3 9.137660+3 1.122018-3 7.382608+3 1.258925-3 5.918162+3 1.412538-3 4.707353+3 1.566751-3 3.805361+3 1.757924-3 2.982253+3 1.972423-3 2.319630+3 2.213095-3 1.790814+3 2.483133-3 1.372568+3 2.786121-3 1.044606+3 3.162278-3 7.675416+2 3.548134-3 5.759426+2 4.000000-3 4.240560+2 4.518559-3 3.083112+2 5.128614-3 2.197066+2 5.821032-3 1.553803+2 6.606934-3 1.090653+2 7.498942-3 7.601541+1 8.511380-3 5.261650+1 9.772372-3 3.495491+1 1.122018-2 2.304394+1 1.288250-2 1.507975+1 1.496236-2 9.456232+0 1.737801-2 5.882823+0 2.018366-2 3.629937+0 2.371374-2 2.141659+0 2.818383-2 1.207254+0 3.349654-2 6.754600-1 4.120975-2 3.337622-1 5.308844-2 1.397718-1 6.683439-2 6.295598-2 1.047129-1 1.324059-2 1.318257-1 5.991526-3 1.603245-1 3.075906-3 1.883649-1 1.788871-3 2.187762-1 1.089680-3 2.511886-1 6.949036-4 2.851018-1 4.635288-4 3.198895-1 3.230096-4 3.589219-1 2.267307-4 4.000000-1 1.636800-4 4.415705-1 1.224031-4 4.897788-1 9.091058-5 5.432503-1 6.803609-5 6.025596-1 5.132175-5 6.606935-1 4.022729-5 7.244360-1 3.174022-5 8.317638-1 2.247626-5 8.912509-1 1.899676-5 9.440609-1 1.660437-5 1.000000+0 1.460400-5 1.071519+0 1.261992-5 1.148154+0 1.097845-5 1.216186+0 9.831721-6 1.348963+0 8.130919-6 1.584893+0 6.114142-6 1.798871+0 4.916209-6 2.018366+0 4.060670-6 2.290868+0 3.317445-6 2.600160+0 2.730255-6 2.985383+0 2.224455-6 3.467369+0 1.795948-6 4.073803+0 1.438132-6 4.786301+0 1.160134-6 5.688529+0 9.291104-7 6.918310+0 7.277881-7 8.511380+0 5.671206-7 1.071519+1 4.332291-7 1.364583+1 3.290750-7 1.778279+1 2.453195-7 2.454709+1 1.730074-7 3.630781+1 1.142520-7 5.888437+1 6.915707-8 1.059254+2 3.791829-8 2.113489+2 1.883928-8 8.413951+2 4.701474-9 5.308844+4 7.43695-11 1.000000+5 3.94770-11 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 3.371000-5 1.057700-5 1.000000+5 1.057700-5 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.371000-5 1.464000-9 1.000000+5 1.464000-9 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.371000-5 2.313154-5 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 3.214000-5 7.792280+6 3.280000-5 7.326280+6 3.350000-5 6.825080+6 3.450000-5 6.143320+6 3.589219-5 5.290356+6 3.758374-5 4.408910+6 3.950000-5 3.593408+6 4.168694-5 2.858585+6 4.841724-5 1.491851+6 5.080000-5 1.216432+6 5.324000-5 1.003181+6 5.500000-5 8.820760+5 5.688529-5 7.759135+5 5.900000-5 6.797600+5 6.095369-5 6.079233+5 6.309573-5 5.439130+5 6.531306-5 4.905014+5 6.735400-5 4.504990+5 6.950000-5 4.160120+5 7.161434-5 3.881520+5 7.400000-5 3.625700+5 7.650000-5 3.410688+5 7.900000-5 3.238576+5 8.150000-5 3.100280+5 8.413951-5 2.983025+5 8.709636-5 2.878648+5 9.015711-5 2.793112+5 9.440609-5 2.701202+5 1.000000-4 2.610928+5 1.083927-4 2.510675+5 1.318257-4 2.299939+5 1.450000-4 2.189332+5 1.584893-4 2.075738+5 1.720000-4 1.963200+5 1.883649-4 1.832051+5 2.065380-4 1.695574+5 2.264644-4 1.557012+5 2.483133-4 1.418825+5 2.754229-4 1.268040+5 3.054921-4 1.124860+5 3.350000-4 1.004536+5 3.758374-4 8.651430+4 4.216965-4 7.392637+4 4.731513-4 6.264466+4 5.308844-4 5.270648+4 5.888437-4 4.483528+4 6.606934-4 3.720644+4 7.328245-4 3.127141+4 8.222426-4 2.561062+4 9.225714-4 2.082861+4 1.047129-3 1.645432+4 1.174898-3 1.317718+4 1.318257-3 1.047156+4 1.479108-3 8.257851+3 1.659587-3 6.462320+3 1.862087-3 5.019271+3 2.089296-3 3.869505+3 2.344229-3 2.961216+3 2.630268-3 2.249943+3 2.951209-3 1.697566+3 3.311311-3 1.272252+3 3.715352-3 9.470931+2 4.168694-3 7.003168+2 4.731513-3 4.985950+2 5.370318-3 3.522151+2 6.095369-3 2.469176+2 6.918310-3 1.718116+2 7.852356-3 1.186919+2 9.000000-3 7.905707+1 1.047129-2 4.994134+1 1.202264-2 3.262241+1 1.364583-2 2.192166+1 1.548817-2 1.458922+1 1.778279-2 9.284637+0 2.162719-2 4.845439+0 2.540973-2 2.816733+0 3.019952-2 1.563088+0 3.589219-2 8.601555-1 4.365158-2 4.336381-1 5.308844-2 2.170301-1 7.079458-2 7.764271-2 1.202264-1 1.164488-2 1.462177-1 5.814107-3 1.717908-1 3.302467-3 1.972423-1 2.047266-3 2.238721-1 1.329495-3 2.511886-1 9.039586-4 2.818383-1 6.191953-4 3.126079-1 4.436643-4 3.467369-1 3.202962-4 3.801894-1 2.414018-4 4.168694-1 1.832265-4 4.570882-1 1.401058-4 5.011872-1 1.079433-4 5.495409-1 8.381822-5 6.000000-1 6.634200-5 6.531306-1 5.332108-5 7.079458-1 4.360809-5 7.673615-1 3.588638-5 8.511380-1 2.813916-5 9.120108-1 2.406967-5 9.772372-1 2.072181-5 1.071519+0 1.713997-5 1.174898+0 1.427939-5 1.288250+0 1.199503-5 1.428894+0 9.928888-6 1.640590+0 7.779833-6 1.840772+0 6.391846-6 2.065380+0 5.288850-6 2.344229+0 4.327086-6 2.660725+0 3.565616-6 3.054921+0 2.908495-6 3.548134+0 2.351041-6 4.168694+0 1.884683-6 4.897788+0 1.521951-6 5.821032+0 1.220085-6 7.000000+0 9.698700-7 8.709636+0 7.460769-7 1.100000+1 5.682800-7 1.412538+1 4.279930-7 1.840772+1 3.193775-7 2.483133+1 2.310360-7 3.630781+1 1.544584-7 5.956621+1 9.239369-8 1.083927+2 5.007761-8 2.162719+2 2.488522-8 8.609938+2 6.211248-9 5.432503+4 9.82533-11 1.000000+5 5.33710-11 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 3.214000-5 1.060700-5 1.000000+5 1.060700-5 1 39000 7 7 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.214000-5 1.377800-9 1.000000+5 1.377800-9 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.214000-5 2.153162-5 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 5.240000-6 1.691068+6 5.500000-6 1.830888+6 5.700000-6 1.931064+6 5.956621-6 2.047021+6 6.309573-6 2.188292+6 6.606934-6 2.292446+6 7.000000-6 2.415596+6 7.413102-6 2.527528+6 8.000000-6 2.662380+6 8.609938-6 2.779466+6 9.225714-6 2.876585+6 9.885531-6 2.958836+6 1.059254-5 3.023620+6 1.135011-5 3.067188+6 1.202264-5 3.084278+6 1.270000-5 3.078480+6 1.333521-5 3.053213+6 1.400000-5 3.008196+6 1.462177-5 2.949515+6 1.531087-5 2.866451+6 1.590000-5 2.782840+6 1.659587-5 2.671598+6 1.730000-5 2.548936+6 1.800000-5 2.420244+6 1.870000-5 2.287472+6 1.950000-5 2.133900+6 2.018366-5 2.003708+6 2.089296-5 1.871807+6 2.162719-5 1.740178+6 2.238721-5 1.610136+6 2.330000-5 1.463136+6 2.426610-5 1.319205+6 2.540973-5 1.164718+6 2.660725-5 1.020658+6 2.786121-5 8.875253+5 2.917427-5 7.656715+5 3.040000-5 6.664600+5 3.162278-5 5.797709+5 3.278000-5 5.076109+5 3.400000-5 4.407400+5 3.540000-5 3.742820+5 3.672823-5 3.200820+5 3.801894-5 2.745428+5 3.935501-5 2.338535+5 4.073803-5 1.977753+5 4.220000-5 1.654136+5 4.365158-5 1.382983+5 4.500000-5 1.169368+5 4.650000-5 9.688240+4 4.800000-5 8.016680+4 4.954502-5 6.587808+4 5.080000-5 5.611640+4 5.248075-5 4.522606+4 5.432503-5 3.567663+4 5.623413-5 2.792895+4 6.165950-5 1.426098+4 6.309573-5 1.211016+4 6.400000-5 1.098460+4 6.500000-5 9.919960+3 6.610000-5 8.943120+3 6.690000-5 8.346720+3 6.770000-5 7.836720+3 6.850000-5 7.405200+3 6.920000-5 7.086360+3 7.000000-5 6.783120+3 7.079458-5 6.540718+3 7.161434-5 6.346222+3 7.244360-5 6.201389+3 7.330000-5 6.101120+3 7.420000-5 6.044120+3 7.500000-5 6.030680+3 7.585776-5 6.051021+3 7.690000-5 6.118680+3 7.800000-5 6.234560+3 7.900000-5 6.374000+3 8.035261-5 6.606064+3 8.222426-5 6.992681+3 8.511380-5 7.693231+3 9.015711-5 9.067038+3 9.332543-5 9.948131+3 9.660509-5 1.083176+4 9.950000-5 1.157364+4 1.023293-4 1.225198+4 1.050000-4 1.284364+4 1.083927-4 1.352931+4 1.122018-4 1.420959+4 1.161449-4 1.480808+4 1.205000-4 1.535808+4 1.244515-4 1.576025+4 1.288250-4 1.609989+4 1.338300-4 1.637743+4 1.380384-4 1.652103+4 1.430000-4 1.659832+4 1.480000-4 1.659736+4 1.548817-4 1.647307+4 1.621810-4 1.623617+4 1.698244-4 1.589924+4 1.778279-4 1.547424+4 1.862087-4 1.497392+4 1.972423-4 1.426266+4 2.089296-4 1.349566+4 2.213095-4 1.268472+4 2.344229-4 1.184346+4 2.483133-4 1.098895+4 2.630268-4 1.013634+4 2.818383-4 9.133946+3 3.019952-4 8.172130+3 3.235937-4 7.269478+3 3.467369-4 6.425781+3 3.758374-4 5.523194+3 4.073803-4 4.712936+3 4.415704-4 3.995430+3 4.786301-4 3.365396+3 5.248075-4 2.746080+3 5.754399-4 2.224215+3 6.309573-4 1.788447+3 6.918310-4 1.428019+3 7.585776-4 1.132674+3 8.317638-4 8.925296+2 9.120108-4 6.986552+2 1.000000-3 5.431960+2 1.109175-3 4.061304+2 1.230269-3 3.012660+2 1.364583-3 2.218381+2 1.513561-3 1.622576+2 1.678804-3 1.177897+2 1.862087-3 8.489019+1 2.065380-3 6.075219+1 2.290868-3 4.318002+1 2.570396-3 2.932250+1 2.884032-3 1.976420+1 3.273407-3 1.270906+1 3.672823-3 8.447645+0 4.120975-3 5.576020+0 4.623810-3 3.654200+0 5.248075-3 2.278205+0 5.956621-3 1.409557+0 6.760830-3 8.659087-1 7.673615-3 5.282335-1 8.810489-3 3.057374-1 1.011579-2 1.755948-1 1.161449-2 1.000745-1 1.348963-2 5.399783-2 1.566751-2 2.891929-2 1.862087-2 1.395455-2 2.264644-2 6.059589-3 2.818383-2 2.366072-3 3.715352-2 7.149547-4 6.683439-2 5.547603-5 8.413951-2 2.048894-5 1.011580-1 9.298890-6 1.188502-1 4.692585-6 1.380384-1 2.505617-6 1.584893-1 1.414831-6 1.798871-1 8.440591-7 2.018366-1 5.313488-7 2.264644-1 3.368590-7 2.540973-1 2.152018-7 2.818383-1 1.447993-7 3.126079-1 9.811176-8 3.467369-1 6.697795-8 3.801894-1 4.804186-8 4.120975-1 3.614003-8 4.518559-1 2.629267-8 4.954502-1 1.926096-8 5.432503-1 1.419650-8 5.956621-1 1.054179-8 6.456542-1 8.188413-9 6.998420-1 6.402605-9 7.673615-1 4.870419-9 8.035261-1 4.257521-9 8.511380-1 3.583881-9 9.015711-1 3.037376-9 9.440609-1 2.678553-9 9.772372-1 2.449155-9 1.011579+0 2.250111-9 1.059254+0 2.023734-9 1.109175+0 1.832867-9 1.161449+0 1.670407-9 1.230269+0 1.499082-9 1.333521+0 1.300137-9 1.479108+0 1.092040-9 1.862087+0 7.35081-10 2.065380+0 6.19636-10 2.344229+0 5.06965-10 2.660725+0 4.17756-10 3.054921+0 3.40767-10 3.548134+0 2.75449-10 4.168694+0 2.20805-10 4.897788+0 1.78307-10 5.821032+0 1.42950-10 7.079458+0 1.12076-10 8.810489+0 8.62278-11 1.109175+1 6.59467-11 1.428894+1 4.95015-11 1.862087+1 3.69509-11 2.511886+1 2.67377-11 3.672823+1 1.78795-11 6.095369+1 1.05709-11 1.109175+2 5.73139-12 2.213095+2 2.84855-12 8.810489+2 7.11102-13 1.000000+5 6.25290-15 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 5.240000-6 5.240000-6 1.000000+5 5.240000-6 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 5.240000-6 0.0 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 5.130000-6 2.675364+6 5.400000-6 2.898330+6 5.623413-6 3.064507+6 5.900000-6 3.248634+6 6.237348-6 3.444499+6 6.600000-6 3.627942+6 7.000000-6 3.801786+6 7.500000-6 3.987678+6 8.035261-6 4.153444+6 8.709636-6 4.323040+6 9.440609-6 4.466131+6 1.020000-5 4.574172+6 1.083927-5 4.633776+6 1.150000-5 4.664832+6 1.216186-5 4.665744+6 1.273503-5 4.642525+6 1.333521-5 4.593749+6 1.400000-5 4.511274+6 1.462177-5 4.410915+6 1.531087-5 4.273943+6 1.590000-5 4.139712+6 1.659587-5 3.965005+6 1.730000-5 3.774348+6 1.800000-5 3.575262+6 1.870000-5 3.371400+6 1.950000-5 3.138162+6 2.018366-5 2.942104+6 2.089296-5 2.744138+6 2.162719-5 2.546813+6 2.238721-5 2.352341+6 2.344229-5 2.101122+6 2.454709-5 1.862371+6 2.570396-5 1.638033+6 2.691535-5 1.429559+6 2.818383-5 1.238179+6 2.950000-5 1.065582+6 3.080000-5 9.175980+5 3.198895-5 7.994357+5 3.311311-5 7.011706+5 3.438000-5 6.042334+5 3.570000-5 5.167056+5 3.690000-5 4.475514+5 3.801894-5 3.910174+5 3.935501-5 3.323897+5 4.073803-5 2.805085+5 4.216965-5 2.348798+5 4.365158-5 1.951032+5 4.518559-5 1.607827+5 4.677351-5 1.313849+5 4.800000-5 1.122708+5 4.954502-5 9.198475+4 5.128614-5 7.340980+4 5.300000-5 5.875932+4 5.450000-5 4.835070+4 5.650000-5 3.733200+4 6.095369-5 2.147537+4 6.237348-5 1.825051+4 6.350000-5 1.616388+4 6.456542-5 1.452400+4 6.540000-5 1.344024+4 6.610000-5 1.265382+4 6.703000-5 1.176542+4 6.770000-5 1.122606+4 6.850000-5 1.068204+4 6.920000-5 1.028766+4 7.000000-5 9.921660+3 7.079458-5 9.639540+3 7.161434-5 9.425291+3 7.244360-5 9.280272+3 7.330000-5 9.198540+3 7.420000-5 9.179340+3 7.500000-5 9.213540+3 7.585776-5 9.297872+3 7.690000-5 9.458700+3 7.800000-5 9.688020+3 7.950000-5 1.008228+4 8.128305-5 1.064752+4 8.413951-5 1.170789+4 8.912509-5 1.378073+4 9.225714-5 1.510684+4 9.500000-5 1.624050+4 9.800000-5 1.741890+4 1.011579-4 1.857155+4 1.040000-4 1.953012+4 1.071519-4 2.049637+4 1.109175-4 2.150858+4 1.150000-4 2.244942+4 1.190000-4 2.321370+4 1.230269-4 2.382882+4 1.280000-4 2.441016+4 1.330000-4 2.479692+4 1.380384-4 2.501894+4 1.430000-4 2.509668+4 1.496236-4 2.500312+4 1.566751-4 2.473153+4 1.640590-4 2.429602+4 1.721200-4 2.368823+4 1.798871-4 2.300858+4 1.883649-4 2.219646+4 1.995262-4 2.106450+4 2.113489-4 1.987573+4 2.238721-4 1.862670+4 2.371374-4 1.734300+4 2.511886-4 1.604929+4 2.691535-4 1.451383+4 2.884032-4 1.302605+4 3.126079-4 1.138903+4 3.349654-4 1.008503+4 3.630781-4 8.685045+3 3.935501-4 7.423202+3 4.265795-4 6.303411+3 4.623810-4 5.318105+3 5.069907-4 4.346221+3 5.559043-4 3.525387+3 6.095369-4 2.838291+3 6.683439-4 2.268617+3 7.413102-4 1.749636+3 8.128305-4 1.379367+3 8.912509-4 1.080020+3 9.772372-4 8.400494+2 1.083927-3 6.283185+2 1.202264-3 4.662236+2 1.333521-3 3.432788+2 1.479108-3 2.508631+2 1.640590-3 1.819832+2 1.819701-3 1.310943+2 2.018366-3 9.380421+1 2.264644-3 6.418601+1 2.483133-3 4.703478+1 2.786121-3 3.164947+1 3.235937-3 1.874157+1 3.630781-3 1.244019+1 4.073803-3 8.200038+0 4.570882-3 5.365257+0 5.128614-3 3.486723+0 5.821032-3 2.154060+0 6.606934-3 1.321029+0 7.498942-3 8.044200-1 8.511380-3 4.864443-1 9.772372-3 2.788524-1 1.122018-2 1.585697-1 1.288250-2 8.949937-2 1.500000-2 4.728973-2 1.757924-2 2.411909-2 2.113489-2 1.094422-2 2.570396-2 4.689581-3 3.235937-2 1.715915-3 4.168694-2 5.634937-4 6.839116-2 6.335791-5 8.709636-2 2.194289-5 1.035142-1 1.036225-5 1.202264-1 5.448402-6 1.364583-1 3.183812-6 1.548817-1 1.873832-6 1.737801-1 1.165461-6 1.927525-1 7.653204-7 2.137962-1 5.062623-7 2.344229-1 3.529663-7 2.570396-1 2.477226-7 2.818383-1 1.750822-7 3.090295-1 1.246726-7 3.349654-1 9.323515-8 3.630781-1 7.018946-8 3.935501-1 5.321750-8 4.216965-1 4.225259-8 4.570882-1 3.251392-8 4.954502-1 2.520694-8 5.370318-1 1.968391-8 5.821032-1 1.548724-8 6.309573-1 1.228071-8 6.839117-1 9.814846-9 7.413102-1 7.905715-9 8.035261-1 6.397554-9 8.609938-1 5.373759-9 9.120108-1 4.675239-9 9.660509-1 4.093358-9 1.023293+0 3.609352-9 1.096478+0 3.125239-9 1.174898+0 2.725171-9 1.273503+0 2.344146-9 1.428894+0 1.905118-9 1.698244+0 1.408392-9 1.905461+0 1.159151-9 2.137962+0 9.61016-10 2.426610+0 7.87825-10 2.786121+0 6.39371-10 3.198895+0 5.22813-10 3.715352+0 4.23596-10 4.365158+0 3.40289-10 5.128614+0 2.75382-10 6.237348+0 2.14884-10 7.413102+0 1.73759-10 9.332543+0 1.32105-10 1.174898+1 1.01219-10 1.531087+1 7.51363-11 2.041738+1 5.48006-11 2.754229+1 3.97366-11 3.935501+1 2.72689-11 6.839116+1 1.53955-11 1.288250+2 8.07185-12 2.570396+2 4.01578-12 1.023293+3 1.00349-12 1.000000+5 1.02510-14 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 5.130000-6 5.130000-6 1.000000+5 5.130000-6 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 5.130000-6 0.0 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 5.680000-6 1.922976+6 5.760000-6 1.787478+6 5.960000-6 1.466738+6 6.165950-6 1.197618+6 6.350000-6 1.000170+6 6.550000-6 8.227300+5 6.770000-6 6.634060+5 7.000000-6 5.294680+5 7.200000-6 4.346860+5 7.350000-6 3.744700+5 7.550000-6 3.063760+5 7.700000-6 2.631320+5 7.852356-6 2.250620+5 8.035261-6 1.860532+5 8.200000-6 1.562756+5 8.350000-6 1.329554+5 8.511380-6 1.113631+5 8.650000-6 9.534740+4 8.810489-6 7.935284+4 8.920000-6 6.983020+4 9.050000-6 5.982880+4 9.200000-6 4.985500+4 9.350000-6 4.136640+4 9.500000-6 3.417780+4 9.660509-6 2.774515+4 9.850000-6 2.160200+4 1.023293-5 1.307932+4 1.035142-5 1.130414+4 1.042000-5 1.043370+4 1.050000-5 9.552700+3 1.057000-5 8.893120+3 1.065000-5 8.258100+3 1.071519-5 7.828489+3 1.077000-5 7.524820+3 1.083000-5 7.249420+3 1.088000-5 7.063260+3 1.094000-5 6.889240+3 1.100000-5 6.766360+3 1.107000-5 6.683960+3 1.112000-5 6.663140+3 1.117000-5 6.672360+3 1.123000-5 6.721160+3 1.129000-5 6.808980+3 1.135011-5 6.933897+3 1.142000-5 7.122900+3 1.150000-5 7.393200+3 1.157000-5 7.673680+3 1.168000-5 8.190520+3 1.180000-5 8.850200+3 1.200000-5 1.014140+4 1.230269-5 1.246044+4 1.250000-5 1.415258+4 1.270000-5 1.597540+4 1.290000-5 1.787972+4 1.310000-5 1.984270+4 1.330000-5 2.184500+4 1.350000-5 2.387040+4 1.372000-5 2.610900+4 1.396368-5 2.858396+4 1.420000-5 3.096480+4 1.450000-5 3.394060+4 1.480000-5 3.684720+4 1.513561-5 3.999982+4 1.550000-5 4.328820+4 1.584893-5 4.629553+4 1.621810-5 4.931739+4 1.659587-5 5.224175+4 1.710000-5 5.587500+4 1.757924-5 5.904919+4 1.800000-5 6.161940+4 1.862087-5 6.506125+4 1.927525-5 6.826794+4 2.000000-5 7.135920+4 2.070000-5 7.392880+4 2.162719-5 7.677303+4 2.264644-5 7.926392+4 2.371374-5 8.127134+4 2.500000-5 8.300840+4 2.630268-5 8.412818+4 2.786121-5 8.477827+4 2.951209-5 8.482310+4 3.126079-5 8.431003+4 3.311311-5 8.328611+4 3.548134-5 8.146350+4 3.801894-5 7.905100+4 4.073803-5 7.611371+4 4.365158-5 7.275452+4 4.677351-5 6.906989+4 5.069907-5 6.450269+4 5.500000-5 5.970600+4 6.025596-5 5.431612+4 6.683439-5 4.839834+4 7.585776-5 4.166205+4 8.810489-5 3.462702+4 1.096478-4 2.616062+4 1.603245-4 1.593267+4 1.778279-4 1.383756+4 2.000000-4 1.170230+4 2.264644-4 9.709290+3 2.630268-4 7.687470+3 3.758374-4 4.363833+3 4.677351-4 3.049392+3 6.839116-4 1.616465+3 8.511380-4 1.115158+3 1.035142-3 7.943846+2 1.273503-3 5.499604+2 1.640590-3 3.476002+2 2.018366-3 2.371730+2 2.426610-3 1.676458+2 2.884032-3 1.202475+2 3.349654-3 8.952284+1 3.981072-3 6.321283+1 4.731513-3 4.429302+1 5.623413-3 3.079896+1 6.683439-3 2.124841+1 7.852356-3 1.491780+1 9.225714-3 1.039858+1 1.083927-2 7.195298+0 1.273503-2 4.941574+0 1.496236-2 3.368286+0 1.757924-2 2.278372+0 2.065380-2 1.528933+0 2.426610-2 1.018369+0 2.851018-2 6.733509-1 3.349654-2 4.419497-1 3.981072-2 2.793092-1 4.731513-2 1.752081-1 5.559043-2 1.125904-1 6.760830-2 6.529009-2 8.413951-2 3.521535-2 1.035142-1 1.948536-2 2.065380-1 2.647351-3 2.511886-1 1.511304-3 2.951209-1 9.591010-4 3.388442-1 6.537961-4 3.845918-1 4.633453-4 4.315191-1 3.411634-4 4.841724-1 2.530900-4 5.370318-1 1.948394-4 5.956621-1 1.510944-4 6.606935-1 1.181010-4 7.244360-1 9.551691-5 8.000000-1 7.655100-5 8.810489-1 6.217323-5 9.660509-1 5.134659-5 1.122018+0 3.807412-5 1.216186+0 3.257528-5 1.396368+0 2.516242-5 1.548817+0 2.086056-5 1.737801+0 1.707820-5 1.949845+0 1.408610-5 2.213095+0 1.148672-5 2.511886+0 9.435473-6 2.884032+0 7.671738-6 3.311311+0 6.283956-6 3.845918+0 5.100098-6 4.518559+0 4.103465-6 5.308844+0 3.326086-6 6.531306+0 2.561871-6 7.762471+0 2.075480-6 9.660509+0 1.601873-6 1.230269+1 1.212759-6 1.621810+1 8.900712-7 2.264644+1 6.184788-7 3.427678+1 3.979439-7 5.128614+1 2.615500-7 8.709636+1 1.517658-7 1.737801+2 7.527063-8 3.467369+2 3.752375-8 1.380384+3 9.388585-9 1.000000+5 1.29430-10 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 5.680000-6 5.680000-6 1.000000+5 5.680000-6 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 5.680000-6 0.0 1.000000+5 1.000000+5 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 8.183930-8 1.028750+0 8.183930-7 1.029500+0 1.119990-6 1.030100+0 1.408530-6 1.031000+0 1.927340-6 1.032000+0 2.637090-6 1.033200+0 3.694120-6 1.034000+0 4.534870-6 1.035300+0 6.155440-6 1.036640+0 8.183930-6 1.038200+0 1.104450-5 1.039700+0 1.434900-5 1.041500+0 1.909120-5 1.043800+0 2.649910-5 1.046400+0 3.686860-5 1.048300+0 4.590240-5 1.051200+0 6.226560-5 1.054080+0 8.183930-5 1.057700+0 1.115520-4 1.061100+0 1.451020-4 1.065100+0 1.920990-4 1.070400+0 2.679990-4 1.076200+0 3.703750-4 1.080600+0 4.625380-4 1.087100+0 6.231890-4 1.093710+0 8.183930-4 1.102600+0 1.134660-3 1.110700+0 1.479780-3 1.120600+0 1.979410-3 1.133300+0 2.752100-3 1.147500+0 3.799700-3 1.158200+0 4.722060-3 1.174100+0 6.311470-3 1.190110+0 8.183930-3 1.205100+0 1.018890-2 1.227500+0 1.363880-2 1.250000+0 1.762000-2 1.265600+0 2.065430-2 1.294900+0 2.689940-2 1.331800+0 3.564910-2 1.362600+0 4.359740-2 1.397000+0 5.307650-2 1.455800+0 7.057930-2 1.500000+0 8.484000-2 1.589800+0 1.169970-1 1.665000+0 1.470720-1 1.784700+0 2.000160-1 1.892300+0 2.515150-1 2.000000+0 3.049000-1 2.044000+0 3.268000-1 2.163500+0 3.869950-1 2.372600+0 4.941200-1 2.647100+0 6.351650-1 3.000000+0 8.128000-1 3.437500+0 1.022670+0 4.000000+0 1.275000+0 4.750000+0 1.583840+0 5.000000+0 1.680000+0 6.000000+0 2.033000+0 7.000000+0 2.348000+0 8.000000+0 2.632000+0 9.000000+0 2.890000+0 1.000000+1 3.125000+0 1.100000+1 3.341000+0 1.200000+1 3.538000+0 1.300000+1 3.720000+0 1.400000+1 3.887000+0 1.500000+1 4.043000+0 1.600000+1 4.189000+0 1.800000+1 4.457000+0 2.000000+1 4.698000+0 2.200000+1 4.916000+0 2.400000+1 5.114000+0 2.600000+1 5.295000+0 2.800000+1 5.460000+0 3.000000+1 5.613000+0 4.000000+1 6.234000+0 5.000000+1 6.694000+0 6.000000+1 7.053000+0 8.000000+1 7.583000+0 1.000000+2 7.959000+0 1.500000+2 8.558000+0 2.000000+2 8.916000+0 3.000000+2 9.333000+0 4.000000+2 9.574000+0 5.000000+2 9.732000+0 6.000000+2 9.845000+0 8.000000+2 9.996000+0 1.000000+3 1.009000+1 1.500000+3 1.023000+1 2.000000+3 1.031000+1 3.000000+3 1.040000+1 4.000000+3 1.044000+1 5.000000+3 1.047000+1 6.000000+3 1.049000+1 8.000000+3 1.051000+1 1.000000+4 1.053000+1 1.500000+4 1.055000+1 2.000000+4 1.056000+1 3.000000+4 1.058000+1 4.000000+4 1.058000+1 5.000000+4 1.059000+1 6.000000+4 1.059000+1 8.000000+4 1.059000+1 1.000000+5 1.060000+1 1 39000 7 8 8.890500+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 3.914880-7 2.106600+0 1.275510-6 2.114000+0 1.764830-6 2.119500+0 2.197200-6 2.127900+0 2.979820-6 2.136250+0 3.914880-6 2.147000+0 5.367580-6 2.156900+0 6.971830-6 2.169000+0 9.304350-6 2.184500+0 1.293340-5 2.201800+0 1.789370-5 2.214800+0 2.229410-5 2.234200+0 2.998950-5 2.253680+0 3.914880-5 2.281500+0 5.483480-5 2.307000+0 7.202530-5 2.338200+0 9.684430-5 2.377400+0 1.341180-4 2.410200+0 1.705750-4 2.446800+0 2.169820-4 2.485900+0 2.731920-4 2.532900+0 3.496270-4 2.556430+0 3.914880-4 2.611900+0 4.991910-4 2.660400+0 6.034940-4 2.745300+0 8.077380-4 2.809000+0 9.782170-4 2.904500+0 1.260200-3 3.000000+0 1.573000-3 3.125000+0 2.028330-3 3.234400+0 2.468020-3 3.425800+0 3.323530-3 3.569300+0 4.030140-3 3.784700+0 5.180840-3 4.000000+0 6.418000-3 4.250000+0 7.930750-3 4.625000+0 1.030840-2 5.000000+0 1.278000-2 5.500000+0 1.617170-2 6.000000+0 1.961000-2 6.750000+0 2.473300-2 7.000000+0 2.642000-2 8.000000+0 3.302000-2 9.000000+0 3.933000-2 1.000000+1 4.533000-2 1.100000+1 5.101000-2 1.200000+1 5.637000-2 1.300000+1 6.143000-2 1.400000+1 6.624000-2 1.500000+1 7.079000-2 1.600000+1 7.512000-2 1.800000+1 8.315000-2 2.000000+1 9.046000-2 2.200000+1 9.715000-2 2.400000+1 1.033000-1 2.600000+1 1.090000-1 2.800000+1 1.143000-1 3.000000+1 1.192000-1 4.000000+1 1.396000-1 5.000000+1 1.551000-1 6.000000+1 1.674000-1 8.000000+1 1.860000-1 1.000000+2 1.996000-1 1.500000+2 2.222000-1 2.000000+2 2.364000-1 3.000000+2 2.540000-1 4.000000+2 2.646000-1 5.000000+2 2.719000-1 6.000000+2 2.773000-1 8.000000+2 2.848000-1 1.000000+3 2.898000-1 1.500000+3 2.973000-1 2.000000+3 3.016000-1 3.000000+3 3.064000-1 4.000000+3 3.092000-1 5.000000+3 3.109000-1 6.000000+3 3.121000-1 8.000000+3 3.137000-1 1.000000+4 3.148000-1 1.500000+4 3.162000-1 2.000000+4 3.170000-1 3.000000+4 3.178000-1 4.000000+4 3.183000-1 5.000000+4 3.186000-1 6.000000+4 3.188000-1 8.000000+4 3.190000-1 1.000000+5 3.192000-1 1 39000 7 8 8.890500+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 39000 7 9 8.890500+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 3.900000+1 1.000000+5 3.900000+1 5.000000+5 3.897600+1 1.000000+6 3.893700+1 1.375000+6 3.889770+1 1.500000+6 3.888000+1 1.875000+6 3.881360+1 2.000000+6 3.878800+1 2.375000+6 3.870300+1 2.500000+6 3.867200+1 2.875000+6 3.857070+1 3.000000+6 3.853400+1 3.437500+6 3.839170+1 3.812500+6 3.826270+1 4.000000+6 3.819800+1 4.437500+6 3.803510+1 4.812500+6 3.788570+1 5.000000+6 3.780700+1 5.500000+6 3.758150+1 5.875000+6 3.740770+1 6.437500+6 3.713530+1 6.500000+6 3.710590+1 7.000000+6 3.685800+1 7.500000+6 3.660720+1 8.250000+6 3.622350+1 8.500000+6 3.609690+1 9.000000+6 3.584000+1 1.000000+7 3.532200+1 1.187500+7 3.437700+1 1.250000+7 3.406900+1 1.500000+7 3.285900+1 1.750000+7 3.170800+1 2.000000+7 3.059400+1 2.250000+7 2.949430+1 2.375000+7 2.895110+1 2.500000+7 2.842100+1 2.875000+7 2.688400+1 3.000000+7 2.639900+1 3.500000+7 2.458370+1 4.000000+7 2.299000+1 4.500000+7 2.158830+1 4.750000+7 2.094670+1 5.000000+7 2.033800+1 5.500000+7 1.919690+1 5.750000+7 1.865610+1 6.000000+7 1.813400+1 6.500000+7 1.712760+1 7.000000+7 1.616600+1 7.500000+7 1.524300+1 8.000000+7 1.435800+1 8.500000+7 1.351210+1 9.000000+7 1.270900+1 9.750000+7 1.158970+1 1.000000+8 1.124200+1 1.187500+8 9.052880+0 1.250000+8 8.492200+0 1.359400+8 7.689110+0 1.437500+8 7.228360+0 1.453100+8 7.146210+0 1.500000+8 6.915600+0 1.625000+8 6.406280+0 1.718800+8 6.094020+0 2.000000+8 5.346300+0 2.250000+8 4.801930+0 2.375000+8 4.564840+0 2.500000+8 4.349500+0 2.671900+8 4.077590+0 2.789100+8 3.889190+0 2.875000+8 3.743070+0 2.894500+8 3.708690+0 2.973600+8 3.564460+0 3.000000+8 3.514500+0 3.062500+8 3.393190+0 3.335900+8 2.897560+0 3.445300+8 2.743890+0 3.500000+8 2.679600+0 4.000000+8 2.282700+0 4.062500+8 2.229380+0 5.000000+8 1.489000+0 5.125000+8 1.432680+0 5.234400+8 1.391190+0 5.425800+8 1.331630+0 5.569300+8 1.294870+0 6.000000+8 1.206000+0 7.000000+8 1.045000+0 7.750000+8 9.559540-1 8.000000+8 9.271000-1 8.250000+8 8.972830-1 8.687500+8 8.439820-1 9.015600+8 8.042190-1 9.507800+8 7.461880-1 1.000000+9 6.914000-1 1.062500+9 6.272580-1 1.117200+9 5.759840-1 1.186000+9 5.173840-1 1.243500+9 4.729980-1 1.307700+9 4.279890-1 1.375000+9 3.854690-1 1.376400+9 3.846340-1 1.458800+9 3.385120-1 1.500000+9 3.176300-1 1.589800+9 2.765960-1 1.665000+9 2.466310-1 1.748800+9 2.174000-1 1.838500+9 1.903830-1 1.946200+9 1.629290-1 2.000000+9 1.509900-1 2.139200+9 1.246030-1 2.272600+9 1.043490-1 2.443000+9 8.395200-2 2.680200+9 6.302810-2 2.825100+9 5.336180-2 3.097000+9 3.968050-2 3.438900+9 2.809150-2 3.725100+9 2.147930-2 4.180400+9 1.450080-2 4.726800+9 9.487550-3 5.000000+9 7.804200-3 6.500000+9 3.115890-3 8.000000+9 1.501900-3 1.00000+10 6.872800-4 1.20500+10 3.603310-4 1.41820+10 2.063020-4 1.71170+10 1.091240-4 2.01490+10 6.319120-5 2.26440+10 4.286980-5 2.74790+10 2.265590-5 3.41360+10 1.116880-5 4.02450+10 6.561290-6 5.12000+10 3.035610-6 6.34000+10 1.540960-6 8.17000+10 6.939580-7 1.00000+11 3.690800-7 1.34280+11 1.479090-7 1.77440+11 6.269320-8 2.63330+11 1.877440-8 3.75720+11 6.398640-9 6.61190+11 1.174840-9 1.48990+12 1.05995-10 4.26460+12 4.91561-12 1.00000+14 5.57810-16 5.62340+14 3.77181-18 7.49890+15 1.96898-21 1.00000+17 9.87450-25 1 39000 7 0 8.890500+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 8.70000-12 1.000000+2 8.70000-10 1.000000+3 8.700000-8 1.000000+4 8.700000-6 1.000000+5 8.700000-4 5.000000+5 2.175000-2 1.000000+6 8.700000-2 1.375000+6 1.634010-1 1.500000+6 1.938000-1 1.875000+6 2.984840-1 2.000000+6 3.377000-1 2.375000+6 4.674050-1 2.500000+6 5.144000-1 2.875000+6 6.651870-1 3.000000+6 7.185000-1 3.437500+6 9.149920-1 3.812500+6 1.093590+0 4.000000+6 1.185700+0 4.437500+6 1.405390+0 4.812500+6 1.597260+0 5.000000+6 1.694000+0 5.500000+6 1.951500+0 5.875000+6 2.143400+0 6.437500+6 2.426180+0 6.500000+6 2.457140+0 7.000000+6 2.700700+0 7.500000+6 2.935690+0 8.250000+6 3.273260+0 8.500000+6 3.381960+0 9.000000+6 3.593900+0 1.000000+7 3.999000+0 1.187500+7 4.715300+0 1.250000+7 4.948500+0 1.500000+7 5.874000+0 1.750000+7 6.796500+0 2.000000+7 7.700000+0 2.250000+7 8.571640+0 2.375000+7 8.996000+0 2.500000+7 9.412700+0 2.875000+7 1.061870+1 3.000000+7 1.101000+1 3.500000+7 1.251240+1 4.000000+7 1.389900+1 4.500000+7 1.515290+1 4.750000+7 1.573010+1 5.000000+7 1.627900+1 5.500000+7 1.729040+1 5.750000+7 1.776190+1 6.000000+7 1.821500+1 6.500000+7 1.907520+1 7.000000+7 1.989100+1 7.500000+7 2.066950+1 8.000000+7 2.141600+1 8.500000+7 2.213250+1 9.000000+7 2.282000+1 9.750000+7 2.379660+1 1.000000+8 2.411000+1 1.187500+8 2.622500+1 1.250000+8 2.684900+1 1.359400+8 2.784620+1 1.437500+8 2.848910+1 1.453100+8 2.861210+1 1.500000+8 2.897000+1 1.625000+8 2.983420+1 1.718800+8 3.041300+1 2.000000+8 3.187000+1 2.250000+8 3.289790+1 2.375000+8 3.334100+1 2.500000+8 3.374500+1 2.671900+8 3.424360+1 2.789100+8 3.454930+1 2.875000+8 3.476020+1 2.894500+8 3.480500+1 2.973600+8 3.498410+1 3.000000+8 3.504300+1 3.062500+8 3.517100+1 3.335900+8 3.568010+1 3.445300+8 3.585720+1 3.500000+8 3.594000+1 4.000000+8 3.655700+1 4.062500+8 3.661700+1 5.000000+8 3.731600+1 5.125000+8 3.738250+1 5.234400+8 3.743950+1 5.425800+8 3.753650+1 5.569300+8 3.760050+1 6.000000+8 3.778200+1 7.000000+8 3.811600+1 7.750000+8 3.831020+1 8.000000+8 3.836600+1 8.250000+8 3.841470+1 8.687500+8 3.849660+1 9.015600+8 3.855150+1 9.507800+8 3.862270+1 1.000000+9 3.868400+1 1.062500+9 3.874680+1 1.117200+9 3.878840+1 1.186000+9 3.883530+1 1.243500+9 3.886330+1 1.307700+9 3.889320+1 1.375000+9 3.891330+1 1.376400+9 3.891370+1 1.458800+9 3.893550+1 1.500000+9 3.894600+1 1.589800+9 3.895750+1 1.665000+9 3.896660+1 1.748800+9 3.897640+1 1.838500+9 3.898110+1 1.946200+9 3.898640+1 2.000000+9 3.898900+1 2.139200+9 3.899170+1 2.272600+9 3.899410+1 2.443000+9 3.899710+1 2.680200+9 3.900080+1 2.825100+9 3.900170+1 3.097000+9 3.900150+1 3.438900+9 3.900110+1 3.725100+9 3.900090+1 4.180400+9 3.900050+1 4.726800+9 3.900020+1 5.000000+9 3.900000+1 6.500000+9 3.900000+1 8.000000+9 3.900000+1 1.00000+10 3.900000+1 1.20500+10 3.900000+1 1.41820+10 3.900000+1 1.71170+10 3.900000+1 2.01490+10 3.900000+1 2.26440+10 3.900000+1 2.74790+10 3.900000+1 3.41360+10 3.900000+1 4.02450+10 3.900000+1 5.12000+10 3.900000+1 6.34000+10 3.900000+1 8.17000+10 3.900000+1 1.00000+11 3.900000+1 1.34280+11 3.900000+1 1.77440+11 3.900000+1 2.63330+11 3.900000+1 3.75720+11 3.900000+1 6.61190+11 3.900000+1 1.48990+12 3.900000+1 4.26460+12 3.900000+1 1.00000+14 3.900000+1 5.62340+14 3.900000+1 7.49890+15 3.900000+1 1.00000+17 3.900000+1 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.945855-6 0.0 1.950645-6 4.19473-15 1.955434-6 8.30021-15 1.960224-6 1.51610-14 1.965013-6 2.55635-14 1.969803-6 3.97894-14 1.974592-6 5.71700-14 1.979382-6 7.58269-14 1.984171-6 9.28392-14 1.988961-6 1.04929-13 1.993750-6 1.09474-13 1.998539-6 1.05434-13 2.003329-6 9.37356-14 2.011053-6 6.56476-14 2.013988-6 5.43343-14 2.021424-6 2.075522-1 2.023903-6 2.758587-1 2.028860-6 5.038784-1 2.033817-6 8.496082-1 2.038774-6 1.322408+0 2.046830-6 2.287245+0 2.053646-6 3.085526+0 2.058603-6 3.487319+0 2.063560-6 3.650784+0 2.069137-6 3.554708+0 2.075256-6 3.132737+0 2.083389-6 2.433274+0 2.088346-6 2.113783+0 2.093927-6 1.951010+0 2.099568-6 1.961922+0 2.109087-6 2.097488+0 2.119242-6 1.950133+0 2.124463-6 1.708493+0 2.138916-6 7.880093-1 2.143993-6 5.368593-1 2.149071-6 3.681499-1 2.151870-6 3.158483-1 2.154148-6 2.792668-1 2.157115-6 2.626051-1 2.164302-6 2.372122-1 2.172850-6 3.437437-1 2.178095-6 3.885054-1 2.183340-6 4.053344-1 2.188585-6 3.903765-1 2.193830-6 3.470626-1 2.199075-6 2.848302-1 2.209565-6 1.509052-1 2.214810-6 9.741916-2 2.220054-6 5.805485-2 2.225299-6 3.193645-2 2.230544-6 1.621768-2 2.235789-6 0.0 2.501362-6 0.0 2.512137-6 3.549172+0 2.513676-6 4.051023+0 2.519833-6 7.399524+0 2.525989-6 1.247661+1 2.532916-6 2.047786+1 2.543594-6 3.572514+1 2.551386-6 4.604741+1 2.556773-6 5.121176+1 2.563528-6 5.323211+1 2.576956-6 4.833900+1 2.582144-6 4.467364+1 2.589049-6 4.236827+1 2.594991-6 4.421669+1 2.601698-6 5.234886+1 2.609321-6 6.795767+1 2.620289-6 9.385772+1 2.627734-6 1.049181+2 2.633033-6 1.082999+2 2.639645-6 1.034199+2 2.646525-6 8.990211+1 2.656482-6 6.230907+1 2.664362-6 4.038880+1 2.670687-6 2.607361+1 2.677011-6 1.553800+1 2.683336-6 8.547583+0 2.692823-6 2.172830+0 2.695985-6 0.0 3.059533-6 0.0 3.067064-6 1.178578-8 3.074595-6 2.332081-8 3.082125-6 4.259736-8 3.089656-6 7.182500-8 3.097187-6 1.117950-7 3.104717-6 1.606287-7 3.112248-6 2.130481-7 3.119779-6 2.608472-7 3.127309-6 2.948143-7 3.134840-6 3.075848-7 3.142371-6 2.962342-7 3.149901-6 2.633658-7 3.157432-6 2.161412-7 3.172493-6 1.145133-7 3.176436-6 9.328716-8 3.180024-6 7.733203-8 3.187555-6 5.455318-8 3.192073-6 4.688115-8 3.195085-6 4.361849-8 3.199891-6 4.349227-8 3.207710-6 4.928421-8 3.210147-6 5.313896-8 3.215528-6 7.050204-8 3.223346-6 1.012984-7 3.231165-6 1.343560-7 3.238983-6 1.644998-7 3.246802-6 1.859207-7 3.254620-6 1.939743-7 3.262438-6 1.868161-7 3.270257-6 1.660881-7 3.278075-6 1.363066-7 3.293712-6 7.221626-8 3.301530-6 4.662031-8 3.309349-6 2.778237-8 3.317167-6 1.528331-8 3.324986-6 7.761033-9 3.332804-6 0.0 3.615040-6 0.0 3.627660-6 4.65716-15 3.628177-6 5.17745-15 3.631339-6 4.353729-9 3.646652-6 1.073063-7 3.664604-6 2.723474-2 3.673580-6 4.974639-2 3.682555-6 8.387912-2 3.691531-6 1.305570-1 3.718458-6 3.046230-1 3.727434-6 3.442903-1 3.736410-6 3.592037-1 3.745386-6 3.466136-1 3.754362-6 3.154907-1 3.774348-6 2.113410-1 3.782072-6 1.800350-1 3.791170-6 1.611379-1 3.800388-6 1.618080-1 3.810101-6 1.790553-1 3.819126-6 2.002837-1 3.837653-6 2.295753-1 3.846917-6 2.255315-1 3.856180-6 2.053378-1 3.868177-6 1.621997-1 3.883970-6 9.868810-2 3.892568-6 6.848890-2 3.901786-6 4.324772-2 3.910464-6 2.616929-2 3.921024-6 1.264703-2 3.928898-6 3.697233-3 3.930288-6 3.292321-3 3.939551-6 1.671876-3 3.948815-6 0.0 4.165140-6 0.0 4.165150-6 1.249482-5 4.183167-6 2.406190-2 4.185654-6 4.026014-2 4.197151-6 1.263654-1 4.202149-6 1.684941-1 4.204279-6 2.172814-1 4.214577-6 4.919852-1 4.223809-6 7.947771-1 4.234723-6 1.317755+0 4.246317-6 2.065884+0 4.276684-6 4.410779+0 4.288524-6 5.026800+0 4.297601-6 5.253394+0 4.309106-6 5.104037+0 4.319006-6 4.661063+0 4.333988-6 3.605667+0 4.349686-6 2.387917+0 4.358772-6 1.772876+0 4.368501-6 1.242592+0 4.378797-6 8.486415-1 4.389093-6 5.636850-1 4.401476-6 3.774435-1 4.409011-6 2.560986-1 4.425853-6 2.084503-1 4.450688-6 1.306763-1 4.464055-6 9.409219-2 4.471768-6 8.157728-2 4.486884-6 6.363864-2 4.492847-6 5.993786-2 4.497560-6 6.268725-2 4.507964-6 7.788113-2 4.518952-6 1.056140-1 4.532686-6 1.557173-1 4.554053-6 2.414878-1 4.563471-6 2.722687-1 4.574460-6 2.913747-1 4.585449-6 2.922408-1 4.596438-6 2.764896-1 4.628049-6 1.890837-1 4.640394-6 1.742226-1 4.651383-6 1.756294-1 4.662372-6 1.923138-1 4.698766-6 2.935066-1 4.706585-6 3.115920-1 4.720657-6 3.247672-1 4.732792-6 3.207409-1 4.744134-6 3.023265-1 4.772597-6 2.329986-1 4.778981-6 2.259369-1 4.790776-6 2.544731-1 4.801754-6 2.978769-1 4.809081-6 3.489863-1 4.816518-6 4.187217-1 4.827969-6 5.613590-1 4.867323-6 1.209387+0 4.878735-6 1.345893+0 4.889062-6 1.410455+0 4.900133-6 1.405503+0 4.911968-6 1.317931+0 4.935346-6 9.906941-1 4.955532-6 6.799692-1 4.969285-6 5.243487-1 4.980521-6 4.329110-1 4.993093-6 3.692661-1 5.011212-6 3.070090-1 5.016063-6 2.980389-1 5.054126-6 3.027362-1 5.083653-6 3.447442-1 5.102862-6 4.081539-1 5.131992-6 5.668331-1 5.152249-6 6.853390-1 5.166243-6 7.355323-1 5.178375-6 7.463526-1 5.190849-6 7.232077-1 5.222990-6 5.810467-1 5.240529-6 5.056425-1 5.251088-6 4.791944-1 5.263227-6 4.698618-1 5.275399-6 4.797930-1 5.307385-6 5.448111-1 5.317468-6 5.691071-1 5.330924-6 5.859290-1 5.344208-6 5.884126-1 5.392852-6 5.569282-1 5.662605-6 5.620088-1 6.474272-6 6.201749-1 7.775805-6 7.706758-1 1.157000-5 1.281038+0 1.341831-5 1.468121+0 1.544694-5 1.574764+0 1.765000-5 1.568373+0 2.064405-5 1.418713+0 2.624804-5 1.008765+0 2.636486-5 2.650748+0 2.637725-5 4.398453+0 2.644186-5 1.410040+1 2.649465-5 2.254995+1 2.655954-5 3.905450+1 2.662918-5 6.567072+1 2.670836-5 1.066273+2 2.682949-5 1.788374+2 2.689814-5 2.129961+2 2.696916-5 2.329289+2 2.703309-5 2.340950+2 2.709752-5 2.181902+2 2.716439-5 1.869440+2 2.731000-5 1.014370+2 2.734634-5 8.118069+1 2.740316-5 5.487538+1 2.746806-5 3.290312+1 2.753295-5 1.803090+1 2.766274-5 9.124500-1 2.780414-5 9.030905-1 2.794260-5 1.017767+1 2.801262-5 1.805704+1 2.808002-5 2.942784+1 2.815001-5 4.560684+1 2.835480-5 1.033725+2 2.842969-5 1.167222+2 2.849478-5 1.205999+2 2.856121-5 1.157675+2 2.863641-5 1.006209+2 2.883068-5 4.556834+1 2.889912-5 2.971006+1 2.896755-5 1.803768+1 2.903599-5 1.029158+1 2.913865-5 3.225205+0 2.917286-5 8.166874-1 2.942445-5 8.014343-1 2.956930-5 9.665991-1 2.964173-5 1.105984+0 2.971415-5 1.319553+0 2.978658-5 1.613207+0 3.008882-5 3.171313+0 3.016092-5 3.404616+0 3.038146-5 3.904239+0 3.067633-5 5.238305+0 3.075548-5 5.378754+0 3.082889-5 5.307612+0 3.108711-5 4.517796+0 3.119791-5 4.424849+0 3.141725-5 4.800537+0 3.165625-5 5.432530+0 3.196061-5 5.780604+0 3.233437-5 6.449724+0 3.251802-5 6.282220+0 3.276621-5 5.903343+0 3.388997-5 5.597791+0 3.801894-5 4.078610+0 4.076224-5 3.282656+0 4.348553-5 2.653141+0 4.617160-5 2.167579+0 4.906827-5 1.766151+0 4.952622-5 1.775524+0 5.012979-5 1.934565+0 5.037121-5 1.921595+0 5.104559-5 1.621957+0 5.144844-5 1.558918+0 5.222421-5 1.562140+0 5.542068-5 1.326120+0 5.900000-5 1.149257+0 6.377272-5 9.989827-1 6.920000-5 9.057384-1 7.690000-5 8.568716-1 8.570000-5 8.621674-1 1.385248-4 1.079240+0 1.594591-4 1.127496+0 1.606500-4 1.199905+0 1.614788-4 1.327349+0 1.635613-4 1.864351+0 1.645554-4 2.022513+0 1.657983-4 2.098744+0 1.685460-4 2.048980+0 1.704500-4 2.128760+0 1.727628-4 2.367678+0 1.747489-4 2.724679+0 1.770000-4 3.310970+0 1.798996-4 4.291893+0 1.953995-4 1.027065+1 2.041450-4 1.290820+1 2.131745-4 1.475087+1 2.325000-4 1.735611+1 2.520599-4 1.888353+1 2.843409-4 1.968497+1 2.876967-4 1.969976+1 2.899174-4 2.047422+1 2.914156-4 2.176701+1 2.942259-4 2.474797+1 2.955769-4 2.483864+1 2.991736-4 2.204162+1 3.018152-4 2.165449+1 3.066428-4 2.363118+1 3.088624-4 2.342880+1 3.131355-4 2.232434+1 3.788501-4 2.112779+1 3.858890-4 2.161562+1 5.629439-4 1.588703+1 6.866535-4 1.285299+1 8.128844-4 1.055105+1 9.440607-4 8.769259+0 1.110572-3 7.106029+0 1.280394-3 5.868585+0 1.479162-3 4.806783+0 1.678915-3 4.015928+0 1.958281-3 3.208983+0 2.026442-3 3.057707+0 2.036429-3 3.395747+0 2.041429-3 3.705731+0 2.046429-3 4.203473+0 2.051439-3 4.930295+0 2.059292-3 6.533580+0 2.071449-3 9.482710+0 2.076623-3 1.052671+1 2.081584-3 1.124816+1 2.086608-3 1.166348+1 2.097945-3 1.171611+1 2.117018-3 1.133125+1 2.126400-3 1.158141+1 2.145513-3 1.348525+1 2.160242-3 1.477454+1 2.178361-3 1.489961+1 2.218699-3 1.422849+1 2.323509-3 1.352008+1 2.374047-3 1.459729+1 2.519748-3 1.357869+1 2.922036-3 1.086901+1 3.381895-3 8.690377+0 3.859507-3 7.061511+0 4.441196-3 5.630892+0 5.072644-3 4.523293+0 5.818742-3 3.593585+0 6.612462-3 2.891730+0 7.436091-3 2.362586+0 8.466216-3 1.884531+0 9.484555-3 1.543226+0 1.069911-2 1.245854+0 1.200122-2 1.014497+0 1.335028-2 8.370880-1 1.496236-2 6.806543-1 1.656159-2 5.681594-1 1.665199-2 5.839087-1 1.670825-2 6.241474-1 1.674864-2 6.840028-1 1.678348-2 7.668830-1 1.682357-2 9.083520-1 1.686300-2 1.102789+0 1.690660-2 1.383038+0 1.697896-2 1.961126+0 1.706938-2 2.701332+0 1.714354-2 3.157849+0 1.721369-2 3.411530+0 1.733221-2 3.552836+0 2.034357-2 2.773256+0 2.320696-2 2.232713+0 2.623298-2 1.815598+0 2.971523-2 1.462538+0 3.359309-2 1.179831+0 3.717667-2 9.834164-1 4.230529-2 7.789768-1 4.751262-2 6.286110-1 5.326634-2 5.083243-1 5.832534-2 4.283333-1 6.487074-2 3.501063-1 7.272384-2 2.810797-1 7.947773-2 2.369298-1 8.801934-2 1.942416-1 9.807761-2 1.572719-1 1.080897-1 1.300724-1 1.198220-1 1.062173-1 1.313987-1 8.861800-2 1.438144-1 7.422166-2 1.580646-1 6.163572-2 1.749092-1 5.052267-2 1.927525-1 4.179437-2 2.120148-1 3.477094-2 2.326584-1 2.908920-2 2.578037-1 2.395460-2 2.830728-1 2.011786-2 3.121742-1 1.680896-2 3.484877-1 1.380190-2 3.857003-1 1.156448-2 4.278091-1 9.717055-3 4.794703-1 8.075965-3 5.324146-1 6.864298-3 6.077850-1 5.649366-3 6.844040-1 4.797157-3 7.879414-1 4.013770-3 9.185969-1 3.361369-3 1.070165+0 2.855897-3 1.286622+0 2.345933-3 1.546860+0 1.927031-3 1.859734+0 1.582931-3 2.235892+0 1.300275-3 2.688134+0 1.068091-3 3.231848+0 8.773673-4 3.885536+0 7.207001-4 4.671441+0 5.920082-4 5.616308+0 4.862962-4 6.752287+0 3.994607-4 8.118035+0 3.281310-4 9.760024+0 2.695382-4 1.000000+1 5.439789-4 1 39000 7 0 8.890500+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-3.859646+1 1.800000-6-3.676085+1 1.998539-6-3.480057+1 2.046830-6-3.296044+1 2.080762-6-3.609844+1 2.115037-6-3.603833+1 2.142724-6-3.618144+1 2.188585-6-3.473331+1 2.333076-6-3.051416+1 2.400943-6-2.677578+1 2.433184-6-2.385605+1 2.461397-6-1.996730+1 2.477935-6-1.655390+1 2.487910-6-1.371731+1 2.495687-6-1.074129+1 2.500298-6-8.293899+0 2.502132-6-6.852517+0 2.503479-6-5.973746+0 2.510597-6-1.928995+0 2.512137-6-9.927703-1 2.513676-6 9.816209-2 2.519833-6 4.381645+0 2.520602-6 5.003633+0 2.526759-6 9.026539+0 2.528106-6 9.759817+0 2.532916-6 1.189402+1 2.536283-6 1.256132+1 2.539842-6 1.256958+1 2.542728-6 1.183192+1 2.544460-6 1.100562+1 2.547538-6 9.083476+0 2.549847-6 7.185451+0 2.551386-6 5.416369+0 2.554080-6 2.601921+0 2.555426-6 1.060800+0 2.556100-6 1.964374-1 2.556437-6-2.827558-1 2.556773-6-8.532862-1 2.562930-6-9.026053+0 2.563528-6-9.989857+0 2.565016-6-1.176198+1 2.568582-6-1.491019+1 2.576956-6-2.007606+1 2.580468-6-2.068833+1 2.582144-6-2.030872+1 2.586690-6-1.839353+1 2.588469-6-1.687826+1 2.589767-6-1.558955+1 2.593537-6-1.255322+1 2.594636-6-1.130805+1 2.595374-6-1.020918+1 2.597348-6-8.442051+0 2.600646-6-5.987926+0 2.601315-6-5.166612+0 2.601698-6-4.809860+0 2.602416-6-4.330938+0 2.603044-6-4.027285+0 2.604144-6-3.667227+0 2.605793-6-3.404378+0 2.607837-6-3.152610+0 2.608603-6-3.241774+0 2.609321-6-3.456166+0 2.609994-6-3.747003+0 2.611256-6-4.497850+0 2.612361-6-5.359082+0 2.614173-6-7.171623+0 2.615560-6-8.902207+0 2.617542-6-1.194569+1 2.619374-6-1.552717+1 2.625123-6-3.009239+1 2.627889-6-3.906532+1 2.631993-6-2.604799+1 2.633033-6-2.169034+1 2.639064-6-1.077223+0 2.639262-6-2.240204-1 2.639645-6 1.184789+0 2.640363-6 3.560583+0 2.640991-6 5.488645+0 2.646525-6 2.093163+1 2.648795-6 2.581516+1 2.652504-6 3.227260+1 2.656482-6 3.658841+1 2.660805-6 3.835673+1 2.664362-6 3.787203+1 2.669896-6 3.470474+1 2.677011-6 2.736027+1 2.685510-6 1.774373+1 2.692823-6 1.101850+1 2.695194-6 8.476797+0 2.695985-6 7.327682+0 2.696340-6 6.751915+0 2.697049-6 5.861843+0 2.698465-6 4.390735+0 2.699876-6 3.132068+0 2.701281-6 2.009220+0 2.704079-6 4.365315-2 2.706856-6-1.647150+0 2.709612-6-3.134594+0 2.712345-6-4.462201+0 2.717749-6-6.748224+0 2.723069-6-8.661102+0 2.733501-6-1.172151+1 2.748546-6-1.505723+1 2.767532-6-1.814208+1 2.794061-6-2.121000+1 2.833028-6-2.424649+1 2.905751-6-2.763638+1 3.034180-6-3.070006+1 3.293712-6-3.337818+1 3.745386-6-3.523947+1 4.143483-6-3.680772+1 4.258186-6-3.897967+1 4.288524-6-3.713384+1 4.331745-6-3.335860+1 4.366068-6-3.316622+1 4.464055-6-3.507860+1 4.867323-6-3.666682+1 4.955532-6-3.558438+1 5.178375-6-3.628731+1 1.565658-5-3.854021+1 1.974120-5-3.528628+1 2.203687-5-3.147031+1 2.328439-5-2.762759+1 2.410177-5-2.345018+1 2.459010-5-1.968493+1 2.496732-5-1.559518+1 2.519276-5-1.236332+1 2.537851-5-9.037063+0 2.548381-5-6.789846+0 2.557635-5-4.536381+0 2.561833-5-3.412073+0 2.569705-5-1.101220+0 2.576592-5 1.175153+0 2.582618-5 3.401576+0 2.587892-5 5.563247+0 2.592506-5 7.648278+0 2.600075-5 1.154735+1 2.605871-5 1.503698+1 2.614154-5 2.106774+1 2.621809-5 2.828253+1 2.629649-5 3.848034+1 2.634528-5 4.681249+1 2.639340-5 5.869546+1 2.649465-5 7.920638+1 2.656766-5 9.591711+1 2.663807-5 1.088607+2 2.670836-5 1.125981+2 2.675849-5 1.074181+2 2.679954-5 9.755887+1 2.682949-5 8.636721+1 2.686987-5 6.726587+1 2.689107-5 5.486683+1 2.689814-5 4.956935+1 2.694167-5 2.105651+1 2.695232-5 1.318170+1 2.695711-5 9.171457+0 2.695972-5 6.543471+0 2.696170-5 4.757859+0 2.696555-5 1.575976+0 2.696916-5-1.251510+0 2.697593-5-6.347722+0 2.701141-5-3.245484+1 2.701882-5-3.845141+1 2.702949-5-2.857187+1 2.704575-5-1.624675+1 2.706947-5 2.455551-1 2.707869-5 6.717643+0 2.708561-5 1.190579+1 2.708994-5 1.569507+1 2.709752-5 2.122189+1 2.711041-5 2.944352+1 2.716439-5 5.960987+1 2.719751-5 7.260660+1 2.723337-5 8.228023+1 2.726813-5 8.797954+1 2.731000-5 9.002897+1 2.734634-5 8.806030+1 2.739606-5 8.088467+1 2.746806-5 6.438872+1 2.755960-5 4.099208+1 2.762406-5 2.685421+1 2.765307-5 1.970208+1 2.766274-5 1.659548+1 2.766930-5 1.438554+1 2.768562-5 1.009868+1 2.770044-5 6.688681+0 2.780628-5-1.507535+1 2.782499-5-1.896463+1 2.787257-5-2.715144+1 2.794260-5-3.858414+1 2.802052-5-2.569295+1 2.809193-5-1.571014+1 2.811063-5-1.380127+1 2.814632-5-1.068872+1 2.815717-5-9.793828+0 2.817018-5-9.229259+0 2.818198-5-8.989381+0 2.820134-5-9.056690+0 2.821616-5-9.461808+0 2.823735-5-1.055494+1 2.825947-5-1.237240+1 2.828498-5-1.534917+1 2.831256-5-1.947407+1 2.833901-5-2.471784+1 2.839085-5-3.860661+1 2.841797-5-2.995837+1 2.842969-5-2.535233+1 2.847403-5-1.043358+1 2.848488-5-6.294484+0 2.848850-5-4.623079+0 2.849064-5-3.585473+0 2.849478-5-1.870252+0 2.850255-5 1.048858+0 2.851615-5 5.780149+0 2.854674-5 1.611357+1 2.855694-5 2.008157+1 2.856923-5 2.468963+1 2.863641-5 4.450890+1 2.866202-5 5.012193+1 2.869860-5 5.603856+1 2.874565-5 6.100474+1 2.879481-5 6.332258+1 2.883068-5 6.264366+1 2.889912-5 5.785560+1 2.896755-5 5.037822+1 2.907449-5 3.773588+1 2.915575-5 2.953431+1 2.919137-5 2.464886+1 2.922672-5 2.124323+1 2.928363-5 1.701152+1 2.935680-5 1.273605+1 2.942445-5 9.463419+0 2.949688-5 6.472048+0 2.956930-5 3.877548+0 2.964173-5 1.560534+0 2.969530-5 2.635188-2 2.971415-5-5.140668-1 2.978658-5-2.360935+0 2.982672-5-3.285526+0 2.986687-5-4.135189+0 2.994038-5-5.529228+0 3.005065-5-7.260272+0 3.038146-5-1.101481+1 3.051310-5-1.223799+1 3.067633-5-1.310976+1 3.090067-5-1.360183+1 3.108711-5-1.468149+1 3.141725-5-1.696452+1 3.171755-5-1.805553+1 3.221847-5-1.912494+1 3.267941-5-1.919027+1 3.388997-5-2.074101+1 3.713316-5-2.283850+1 4.617160-5-2.548065+1 5.037121-5-2.623767+1 6.710000-5-2.801145+1 1.420978-4-3.276547+1 1.626843-4-3.562495+1 1.839000-4-4.074708+1 1.976400-4-4.046540+1 2.623004-4-3.064708+1 2.905789-4-2.803785+1 3.006523-4-2.820109+1 3.119211-4-2.639916+1 3.268002-4-2.386925+1 3.622002-4-2.026174+1 3.788501-4-1.925282+1 3.884162-4-1.881252+1 3.993775-4-1.751369+1 4.339734-4-1.507278+1 4.793194-4-1.284887+1 5.416890-4-1.076103+1 6.085680-4-9.283056+0 6.866535-4-8.191828+0 7.819184-4-7.401694+0 8.926094-4-6.928088+0 1.049370-3-6.727594+0 1.280394-3-6.987156+0 1.479162-3-7.590584+0 1.678915-3-8.627683+0 1.820879-3-9.854679+0 1.913705-3-1.115173+1 1.976753-3-1.257170+1 2.019703-3-1.420436+1 2.045213-3-1.603120+1 2.071449-3-1.894854+1 2.085456-3-1.943008+1 2.106141-3-1.797587+1 2.126400-3-1.672921+1 2.160242-3-1.622377+1 2.178361-3-1.501331+1 2.207669-3-1.285028+1 2.239866-3-1.146249+1 2.286206-3-1.027719+1 2.323509-3-9.919335+0 2.349878-3-9.864885+0 2.374047-3-9.186759+0 2.406948-3-7.976614+0 2.451086-3-6.922447+0 2.519748-3-5.775007+0 2.607654-3-4.696642+0 2.707073-3-3.790710+0 2.841027-3-2.885719+0 2.922036-3-2.460797+0 3.037386-3-1.966355+0 3.138475-3-1.611750+0 3.273407-3-1.233969+0 3.421210-3-9.118332-1 3.510675-3-7.486646-1 3.641245-3-5.542724-1 3.752969-3-4.164606-1 3.859507-3-3.072709-1 3.943382-3-2.363774-1 4.063193-3-1.523080-1 4.152997-3-9.820370-2 4.216965-3-6.275941-2 4.247418-3-4.737394-2 4.332302-3-1.081192-2 4.377127-3 6.289297-3 4.379316-3 7.134056-3 4.428831-3 2.434027-2 4.441196-3 2.823584-2 4.534642-3 5.378829-2 4.632032-3 7.544256-2 4.758336-3 9.668068-2 4.850442-3 1.082322-1 5.019614-3 1.211436-1 5.186601-3 1.243126-1 5.340777-3 1.227570-1 5.512054-3 1.154139-1 5.686547-3 1.031691-1 5.955014-3 7.417072-2 6.220800-3 3.914664-2 6.410250-3 1.248372-2 6.484478-3 1.436702-3 6.495029-3-2.487710-4 6.612462-3-1.869989-2 6.790082-3-4.603443-2 7.436091-3-1.546829-1 1.200122-2-9.556741-1 1.335028-2-1.238497+0 1.444117-2-1.538607+0 1.521034-2-1.837805+0 1.578864-2-2.171706+0 1.615284-2-2.488472+0 1.643580-2-2.870188+0 1.662658-2-3.308345+0 1.677122-2-3.891867+0 1.692785-2-4.603269+0 1.700179-2-4.697786+0 1.709105-2-4.482804+0 1.733221-2-3.272638+0 1.745000-2-2.873522+0 1.761758-2-2.492583+0 1.782405-2-2.162914+0 1.816459-2-1.772815+0 1.851943-2-1.476484+0 1.895843-2-1.201174+0 1.949845-2-9.483758-1 2.000909-2-7.641704-1 2.073338-2-5.592204-1 2.139501-2-4.123366-1 2.194068-2-3.127897-1 2.254614-2-2.222364-1 2.288254-2-1.786380-1 2.320696-2-1.404314-1 2.388499-2-7.102024-2 2.436233-2-3.077765-2 2.490515-2 9.424638-3 2.550016-2 4.744377-2 2.623298-2 8.791011-2 2.698152-2 1.223364-1 2.768872-2 1.486365-1 2.915377-2 1.884862-1 3.047665-2 2.118432-1 3.215301-2 2.312176-1 3.451189-2 2.458123-1 3.852019-2 2.434113-1 4.458282-2 2.178735-1 6.061065-2 1.272841-1 6.922667-2 8.615888-2 7.487100-2 6.287954-2 7.947773-2 4.593998-2 8.572267-2 2.575502-2 9.011563-2 1.302666-2 9.180018-2 8.387034-3 9.484890-2 5.174874-4 9.559308-2-1.386857-3 9.807761-2-7.313121-3 1.027293-1-1.769915-2 1.080897-1-2.843021-2 1.166902-1-4.357018-2 1.275934-1-5.965718-2 1.438144-1-7.859286-2 1.635874-1-9.591055-2 1.927525-1-1.139712-1 2.326584-1-1.299591-1 3.025622-1-1.457770-1 4.278091-1-1.585914-1 7.163103-1-1.677355-1 2.039158+0-1.723185-1 6.158159+0-1.728888-1 1.000000+1-1.728780-1 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 6.187563-2 1.162256-6 1.238668-1 1.198576-6 1.434740-1 1.236032-6 1.665246-1 1.274658-6 1.937023-1 1.314491-6 2.258479-1 1.355569-6 2.640015-1 1.397930-6 3.094557-1 1.441380-6 3.634879-1 1.483472-6 4.241143-1 1.524249-6 4.918188-1 1.563751-6 5.668742-1 1.602019-6 6.499442-1 1.639092-6 7.417438-1 1.675005-6 8.429034-1 1.709797-6 9.540601-1 1.743501-6 1.075879+0 1.776152-6 1.209053+0 1.807782-6 1.354304+0 1.838424-6 1.512387+0 1.868109-6 1.684083+0 1.896866-6 1.870175+0 1.924724-6 2.071325+0 1.951712-6 2.288234+0 1.977856-6 2.522037+0 2.003183-6 2.773801+0 2.027719-6 3.044499+0 2.051488-6 3.335070+0 2.074514-6 3.646509+0 2.118431-6 4.336677+0 2.159645-6 5.124443+0 2.198324-6 6.019594+0 2.216761-6 6.510938+0 2.234623-6 7.034681+0 2.251926-6 7.593398+0 2.285451-6 8.831780+0 2.316881-6 1.021585+1 2.346347-6 1.176368+1 2.373971-6 1.348916+1 2.400000-6 1.541609+1 2.424147-6 1.752653+1 2.446908-6 1.986775+1 2.468247-6 2.244429+1 2.488252-6 2.527132+1 2.507007-6 2.836404+1 2.524590-6 3.173766+1 2.541073-6 3.540725+1 2.556527-6 3.938761+1 2.571014-6 4.369321+1 2.584596-6 4.833804+1 2.597330-6 5.333550+1 2.609267-6 5.869832+1 2.620459-6 6.443846+1 2.630950-6 7.056705+1 2.640787-6 7.709440+1 2.650008-6 8.403008+1 2.658653-6 9.138307+1 2.666758-6 9.916181+1 2.674356-6 1.073741+2 2.681479-6 1.160271+2 2.688157-6 1.251272+2 2.694418-6 1.346804+2 2.700287-6 1.446935+2 2.705790-6 1.551752+2 2.710949-6 1.661367+2 2.720621-6 1.904040+2 2.729085-6 2.169357+2 2.736490-6 2.458373+2 2.742970-6 2.770697+2 2.748640-6 3.103775+2 2.753601-6 3.452878+2 2.757942-6 3.811702+2 2.761740-6 4.173260+2 2.765064-6 4.530736+2 2.767972-6 4.878118+2 2.773061-6 5.571131+2 2.789187-6 8.570088+2 2.795192-6 9.998158+2 2.800339-6 1.132944+3 2.802055-6 1.178965+3 2.808918-6 1.367198+3 2.809776-6 1.390819+3 2.815781-6 1.552879+3 2.818140-6 1.613628+3 2.822644-6 1.722039+3 2.825004-6 1.773773+3 2.827256-6 1.819273+3 2.829508-6 1.860565+3 2.832510-6 1.908482+3 2.835406-6 1.946437+3 2.839802-6 1.987956+3 2.843234-6 2.006980+3 2.847094-6 2.015409+3 2.851330-6 2.011381+3 2.865232-6 1.962863+3 2.868925-6 1.962305+3 2.870686-6 1.967060+3 2.874118-6 1.988392+3 2.875834-6 2.006053+3 2.878783-6 2.049013+3 2.881180-6 2.096910+3 2.883731-6 2.161817+3 2.885478-6 2.215042+3 2.888906-6 2.341001+3 2.892056-6 2.482436+3 2.895665-6 2.674471+3 2.899923-6 2.939905+3 2.909749-6 3.680320+3 2.914595-6 4.083587+3 2.918596-6 4.418351+3 2.922757-6 4.755313+3 2.926312-6 5.024781+3 2.930070-6 5.282295+3 2.933547-6 5.488469+3 2.936947-6 5.654743+3 2.940316-6 5.780751+3 2.941240-6 5.808162+3 2.948145-6 5.909786+3 2.950077-6 5.905057+3 2.955431-6 5.817354+3 2.958794-6 5.708828+3 2.962054-6 5.567620+3 2.965642-6 5.375486+3 2.969119-6 5.157530+3 2.972209-6 4.942007+3 2.975190-6 4.718657+3 2.979716-6 4.358535+3 2.983248-6 4.066848+3 2.987222-6 3.735009+3 2.990313-6 3.478534+3 2.997377-6 2.913594+3 2.999806-6 2.729922+3 3.004442-6 2.398615+3 3.009740-6 2.054949+3 3.016399-6 1.679871+3 3.028690-6 1.150169+3 3.032555-6 1.022925+3 3.036299-6 9.151640+2 3.039926-6 8.238879+2 3.043440-6 7.464692+2 3.046844-6 6.806455+2 3.050141-6 6.244951+2 3.056531-6 5.337633+2 3.062520-6 4.662171+2 3.068136-6 4.147950+2 3.073400-6 3.747456+2 3.078336-6 3.428689+2 3.082963-6 3.169910+2 3.091639-6 2.765584+2 3.099230-6 2.477248+2 3.105872-6 2.262462+2 3.111684-6 2.097292+2 3.121855-6 1.848630+2 3.129484-6 1.688990+2 3.140926-6 1.482761+2 3.160128-6 1.202327+2 3.175646-6 1.017141+2 3.183405-6 9.341630+1 3.191164-6 8.559795+1 3.198923-6 7.816746+1 3.206683-6 7.106664+1 3.214442-6 6.428382+1 3.226080-6 5.483274+1 3.235665-6 4.800487+1 3.240571-6 4.499061+1 3.245478-6 4.239520+1 3.247831-6 4.132136+1 3.250184-6 4.036955+1 3.258145-6 3.815809+1 3.259140-6 3.800027+1 3.266106-6 3.769547+1 3.268842-6 3.797081+1 3.274066-6 3.912312+1 3.276459-6 3.992086+1 3.279878-6 4.134325+1 3.282076-6 4.242447+1 3.285983-6 4.464289+1 3.292059-6 4.873693+1 3.302426-6 5.688367+1 3.305909-6 5.974340+1 3.313870-6 6.607491+1 3.322001-6 7.175411+1 3.324804-6 7.344042+1 3.330157-6 7.620592+1 3.333981-6 7.780028+1 3.337103-6 7.886733+1 3.339445-6 7.953361+1 3.344714-6 8.064356+1 3.352588-6 8.146326+1 3.364823-6 8.153261+1 3.383239-6 8.124593+1 3.406176-6 8.151351+1 3.414534-6 8.115573+1 3.418191-6 8.082702+1 3.426419-6 7.963785+1 3.433340-6 7.814481+1 3.437519-6 7.704130+1 3.444350-6 7.496307+1 3.452506-6 7.215768+1 3.465807-6 6.727872+1 3.487668-6 5.981038+1 3.504384-6 5.501809+1 3.569295-6 4.043364+1 3.581903-6 3.823477+1 3.594116-6 3.633766+1 3.617780-6 3.323495+1 3.639965-6 3.085351+1 3.660763-6 2.895090+1 3.680261-6 2.738459+1 3.716821-6 2.486588+1 3.748810-6 2.300010+1 3.776801-6 2.157228+1 3.825785-6 1.942012+1 3.862523-6 1.803463+1 3.917629-6 1.624249+1 4.002071-6 1.396972+1 4.168304-6 1.059596+1 4.336776-6 7.820239+0 4.368799-6 7.292440+0 4.390148-6 6.931978+0 4.411497-6 6.559051+0 4.432846-6 6.167690+0 4.443520-6 5.962782+0 4.454194-6 5.750163+0 4.464869-6 5.528373+0 4.475543-6 5.295673+0 4.486218-6 5.050048+0 4.498241-6 4.755195+0 4.507567-6 4.511562+0 4.520385-6 4.154136+0 4.531457-6 3.826411+0 4.542529-6 3.488468+0 4.558295-6 3.022818+0 4.565336-6 2.840207+0 4.570617-6 2.722957+0 4.572377-6 2.688758+0 4.583206-6 2.550519+0 4.586816-6 2.539140+0 4.590469-6 2.549655+0 4.593264-6 2.574425+0 4.595156-6 2.600145+0 4.596567-6 2.624306+0 4.599035-6 2.677392+0 4.606439-6 2.927373+0 4.609178-6 3.057726+0 4.613286-6 3.295327+0 4.616881-6 3.547086+0 4.618097-6 3.641996+0 4.629012-6 4.725054+0 4.645265-6 7.145693+0 4.650891-6 8.201824+0 4.656230-6 9.295905+0 4.661515-6 1.045546+1 4.666676-6 1.164786+1 4.671638-6 1.283539+1 4.676083-6 1.392068+1 4.682084-6 1.539546+1 4.687155-6 1.662915+1 4.692994-6 1.800846+1 4.697535-6 1.903284+1 4.708607-6 2.126698+1 4.710596-6 2.161931+1 4.720531-6 2.310845+1 4.724926-6 2.361081+1 4.729122-6 2.399506+1 4.733318-6 2.428438+1 4.738610-6 2.451349+1 4.742931-6 2.458981+1 4.746172-6 2.458349+1 4.751034-6 2.447613+1 4.755896-6 2.425812+1 4.762271-6 2.382011+1 4.764396-6 2.363940+1 4.772858-6 2.277298+1 4.775678-6 2.243945+1 4.786355-6 2.103021+1 4.799498-6 1.911577+1 4.812342-6 1.722912+1 4.839077-6 1.377171+1 4.851244-6 1.250869+1 4.861891-6 1.156523+1 4.880522-6 1.022570+1 4.894496-6 9.422897+0 4.936416-6 7.601889+0 4.958161-6 6.852662+0 4.974978-6 6.357267+0 4.982569-6 6.164783+0 4.994773-6 5.906341+0 5.006977-6 5.721835+0 5.013981-6 5.653223+0 5.020985-6 5.613075+0 5.027761-6 5.601306+0 5.032843-6 5.609412+0 5.040466-6 5.646931+0 5.048089-6 5.711335+0 5.057920-6 5.825328+0 5.085002-6 6.201272+0 5.094371-6 6.307773+0 5.100446-6 6.360433+0 5.110024-6 6.410988+0 5.116153-6 6.420419+0 5.125347-6 6.400113+0 5.134541-6 6.340660+0 5.142973-6 6.256569+0 5.153423-6 6.123231+0 5.179424-6 5.749796+0 5.186868-6 5.657750+0 5.194313-6 5.581877+0 5.199813-6 5.538669+0 5.209593-6 5.493441+0 5.213874-6 5.487635+0 5.230605-6 5.554028+0 5.240167-6 5.657763+0 5.248516-6 5.786866+0 5.261039-6 6.043215+0 5.273561-6 6.363895+0 5.298657-6 7.120523+0 5.311205-6 7.501721+0 5.323183-6 7.829241+0 5.336300-6 8.116001+0 5.340556-6 8.188237+0 5.346940-6 8.274812+0 5.353324-6 8.333653+0 5.358708-6 8.360865+0 5.366785-6 8.362657+0 5.374862-6 8.318306+0 5.384244-6 8.212016+0 5.390634-6 8.108782+0 5.397025-6 7.983319+0 5.409805-6 7.676745+0 5.422586-6 7.315437+0 5.438655-6 6.818249+0 5.458413-6 6.193699+0 5.494390-6 5.170113+0 5.507848-6 4.857171+0 5.514527-6 4.720081+0 5.525987-6 4.516197+0 5.539455-6 4.331622+0 5.548055-6 4.247009+0 5.556654-6 4.189166+0 5.561239-6 4.169316+0 5.569262-6 4.152707+0 5.575279-6 4.154953+0 5.584305-6 4.180567+0 5.593331-6 4.230398+0 5.602029-6 4.298001+0 5.610727-6 4.380958+0 5.639399-6 4.708537+0 5.655880-6 4.890238+0 5.661826-6 4.948082+0 5.679663-6 5.086115+0 5.689635-6 5.136780+0 5.704593-6 5.176074+0 5.719551-6 5.175485+0 5.738159-6 5.132743+0 5.792321-6 4.930924+0 5.821916-6 4.858614+0 5.939369-6 4.700157+0 5.953608-6 4.673466+0 5.973631-6 4.622688+0 5.997623-6 4.533995+0 6.028521-6 4.382231+0 6.045123-6 4.298891+0 6.061668-6 4.228490+0 6.072980-6 4.192456+0 6.083038-6 4.170376+0 6.097018-6 4.155658+0 6.110998-6 4.157436+0 6.166533-6 4.217071+0 6.179549-6 4.217597+0 6.192564-6 4.208137+0 6.214424-6 4.172581+0 6.253242-6 4.081886+0 6.284864-6 4.018843+0 6.305926-6 3.989222+0 6.370044-6 3.925712+0 6.400038-6 3.888165+0 6.439581-6 3.820332+0 6.547334-6 3.592154+0 6.582324-6 3.534172+0 6.641719-6 3.460138+0 6.784409-6 3.331879+0 6.886948-6 3.249880+0 7.295552-6 2.935531+0 7.562926-6 2.772628+0 7.814011-6 2.653067+0 8.077177-6 2.557319+0 8.382247-6 2.479170+0 8.609938-6 2.440393+0 9.144670-6 2.422450+0 9.772372-6 2.514048+0 1.023904-5 2.652030+0 1.068029-5 2.839493+0 1.107475-5 3.047131+0 1.143000-5 3.267891+0 1.188502-5 3.591202+0 1.253093-5 4.116757+0 1.396739-5 5.492197+0 1.432664-5 5.861005+0 1.482224-5 6.366031+0 1.531087-5 6.858184+0 1.570000-5 7.232890+0 1.605295-5 7.549016+0 1.640590-5 7.848615+0 1.666977-5 8.046469+0 1.725454-5 8.433375+0 1.754275-5 8.586652+0 1.791166-5 8.747583+0 1.812692-5 8.820683+0 1.846233-5 8.975561+0 1.877739-5 9.322288+0 1.905461-5 9.733191+0 1.949934-5 1.050250+1 1.980456-5 1.113999+1 2.024473-5 1.221051+1 2.052684-5 1.302039+1 2.080020-5 1.392358+1 2.116246-5 1.528907+1 2.153123-5 1.691119+1 2.190000-5 1.881921+1 2.222655-5 2.078806+1 2.250264-5 2.269960+1 2.278568-5 2.494598+1 2.312411-5 2.804162+1 2.339175-5 3.086801+1 2.371374-5 3.480685+1 2.403699-5 3.945659+1 2.436345-5 4.501982+1 2.466982-5 5.122524+1 2.495735-5 5.812663+1 2.522718-5 6.577675+1 2.548042-5 7.423535+1 2.571807-5 8.356491+1 2.594465-5 9.399986+1 2.615706-5 1.054546+2 2.635620-5 1.179969+2 2.654289-5 1.317003+2 2.671791-5 1.466382+2 2.688200-5 1.628817+2 2.703582-5 1.804996+2 2.718004-5 1.995612+2 2.731524-5 2.201368+2 2.744199-5 2.422917+2 2.756082-5 2.660828+2 2.770129-5 2.987951+2 2.777666-5 3.188014+2 2.787457-5 3.478529+2 2.796637-5 3.787807+2 2.805242-5 4.116392+2 2.813310-5 4.464779+2 2.820873-5 4.833423+2 2.827964-5 5.222739+2 2.834612-5 5.633109+2 2.840844-5 6.064891+2 2.846686-5 6.518443+2 2.852164-5 6.994155+2 2.857299-5 7.492487+2 2.862113-5 8.013985+2 2.871140-5 9.169300+2 2.879038-5 1.043235+3 2.885949-5 1.180693+3 2.891996-5 1.329132+3 2.897287-5 1.487573+3 2.901917-5 1.654191+3 2.905968-5 1.826479+3 2.909513-5 2.001537+3 2.912614-5 2.176390+3 2.918042-5 2.539810+3 2.922113-5 2.868729+3 2.927456-5 3.387600+3 2.934325-5 4.226535+3 2.947599-5 6.516613+3 2.952374-5 7.583385+3 2.955993-5 8.480379+3 2.962750-5 1.034960+4 2.965002-5 1.102414+4 2.972264-5 1.333874+4 2.973172-5 1.363973+4 2.979527-5 1.578314+4 2.982023-5 1.662882+4 2.986789-5 1.821540+4 2.989399-5 1.905402+4 2.993331-5 2.025402+4 2.996824-5 2.123436+4 3.000471-5 2.215029+4 3.003129-5 2.273581+4 3.006278-5 2.332892+4 3.009029-5 2.374968+4 3.013285-5 2.420673+4 3.016607-5 2.439106+4 3.020304-5 2.441239+4 3.023960-5 2.424212+4 3.026319-5 2.403270+4 3.029857-5 2.357739+4 3.032654-5 2.310333+4 3.035760-5 2.246709+4 3.038528-5 2.181138+4 3.041799-5 2.094076+4 3.044549-5 2.013875+4 3.047493-5 1.922176+4 3.050798-5 1.813446+4 3.053558-5 1.719180+4 3.057107-5 1.595079+4 3.059411-5 1.513665+4 3.063042-5 1.385453+4 3.066673-5 1.259039+4 3.070758-5 1.121064+4 3.073936-5 1.018104+4 3.081198-5 8.012730+3 3.083694-5 7.335539+3 3.086077-5 6.724298+3 3.090295-5 5.729165+3 3.094361-5 4.876540+3 3.099272-5 3.985357+3 3.102052-5 3.546926+3 3.122230-5 1.669369+3 3.123372-5 1.625455+3 3.124906-5 1.576032+3 3.126628-5 1.533384+3 3.127450-5 1.517747+3 3.128682-5 1.499926+3 3.129915-5 1.488781+3 3.133277-5 1.491575+3 3.134480-5 1.504108+3 3.136222-5 1.532766+3 3.137660-5 1.565611+3 3.145285-5 1.872011+3 3.147626-5 2.008081+3 3.151968-5 2.307827+3 3.157074-5 2.731131+3 3.162030-5 3.203174+3 3.165435-5 3.554964+3 3.169251-5 3.968260+3 3.171808-5 4.252515+3 3.174807-5 4.589550+3 3.176996-5 4.835519+3 3.179652-5 5.131151+3 3.183084-5 5.504010+3 3.186022-5 5.810344+3 3.189323-5 6.134967+3 3.192862-5 6.454262+3 3.194550-5 6.594309+3 3.198063-5 6.857101+3 3.200880-5 7.037283+3 3.208378-5 7.369834+3 3.210867-5 7.430189+3 3.215620-5 7.474561+3 3.219543-5 7.442204+3 3.223345-5 7.353977+3 3.226663-5 7.234217+3 3.229374-5 7.109216+3 3.232931-5 6.911723+3 3.236361-5 6.689773+3 3.241347-5 6.322249+3 3.245190-5 6.011436+3 3.247111-5 5.849519+3 3.251434-5 5.474821+3 3.252875-5 5.347952+3 3.260560-5 4.671109+3 3.263699-5 4.400819+3 3.269693-5 3.906233+3 3.278001-5 3.284698+3 3.290014-5 2.545030+3 3.298072-5 2.155780+3 3.302101-5 1.990725+3 3.306130-5 1.843518+3 3.310159-5 1.712585+3 3.314189-5 1.596305+3 3.322247-5 1.401367+3 3.330305-5 1.246864+3 3.338363-5 1.122812+3 3.346422-5 1.021346+3 3.354480-5 9.365847+2 3.362538-5 8.642930+2 3.370597-5 8.014982+2 3.384153-5 7.119383+2 3.394771-5 6.527629+2 3.400813-5 6.227083+2 3.409142-5 5.851817+2 3.417480-5 5.519009+2 3.427005-5 5.188332+2 3.436649-5 4.903834+2 3.446294-5 4.665194+2 3.452595-5 4.531094+2 3.459120-5 4.407838+2 3.467450-5 4.269872+2 3.475780-5 4.149161+2 3.492374-5 3.944175+2 3.514059-5 3.718981+2 3.560353-5 3.306106+2 3.595410-5 3.012091+2 3.608938-5 2.913005+2 3.618384-5 2.852302+2 3.628657-5 2.795217+2 3.640952-5 2.739131+2 3.655323-5 2.688554+2 3.674211-5 2.640494+2 3.699913-5 2.595112+2 3.748984-5 2.524622+2 3.808855-5 2.413166+2 3.862102-5 2.324290+2 3.951610-5 2.198121+2 4.035030-5 2.096495+2 4.175620-5 1.954996+2 4.356796-5 1.807846+2 4.565107-5 1.671030+2 4.896076-5 1.495478+2 5.246723-5 1.344226+2 5.439486-5 1.267593+2 5.577378-5 1.205114+2 5.604396-5 1.198424+2 5.623098-5 1.197181+2 5.658903-5 1.201811+2 5.699784-5 1.209724+2 5.716837-5 1.210548+2 5.742793-5 1.207174+2 5.778277-5 1.194930+2 5.848174-5 1.166670+2 5.899545-5 1.152945+2 6.444307-5 1.040573+2 6.950000-5 9.577233+1 7.460000-5 8.911913+1 7.852356-5 8.493798+1 8.912509-5 7.628814+1 9.900000-5 7.003920+1 1.071519-4 6.539629+1 1.161449-4 6.055664+1 1.244515-4 5.593747+1 1.318257-4 5.153838+1 1.380384-4 4.763742+1 1.431833-4 4.422447+1 1.484562-4 4.052404+1 1.540000-4 3.640784+1 1.590961-4 3.241960+1 1.637303-4 2.861592+1 1.664348-4 2.629651+1 1.690607-4 2.399908+1 1.725131-4 2.090302+1 1.751024-4 1.851510+1 1.773796-4 1.635160+1 1.794998-4 1.422066+1 1.803835-4 1.326946+1 1.817089-4 1.176889+1 1.823714-4 1.100259+1 1.841183-4 9.128998+0 1.845629-4 8.740389+0 1.850302-4 8.392057+0 1.853965-4 8.166294+0 1.857705-4 7.979905+0 1.863211-4 7.782821+0 1.868790-4 7.663677+0 1.874243-4 7.603551+0 1.885568-4 7.543377+0 1.893185-4 7.465981+0 1.900262-4 7.322379+0 1.907070-4 7.107596+0 1.911785-4 6.918134+0 1.916297-4 6.712289+0 1.922000-4 6.430148+0 1.933694-4 5.848432+0 1.944000-4 5.432085+0 1.946500-4 5.355539+0 1.953000-4 5.214090+0 1.958500-4 5.168826+0 1.962494-4 5.184228+0 1.968806-4 5.300000+0 1.972000-4 5.404500+0 1.976947-4 5.631637+0 1.980875-4 5.871482+0 1.985000-4 6.182948+0 1.986864-4 6.344389+0 1.990000-4 6.646020+0 1.992673-4 6.933435+0 1.995495-4 7.267718+0 1.998500-4 7.659266+0 2.004242-4 8.511431+0 2.010000-4 9.505349+0 2.023096-4 1.228637+1 2.032997-4 1.485443+1 2.042495-4 1.767082+1 2.050248-4 2.020697+1 2.059299-4 2.341536+1 2.065749-4 2.585002+1 2.070996-4 2.791391+1 2.085000-4 3.374340+1 2.090498-4 3.614535+1 2.105000-4 4.274282+1 2.110000-4 4.509682+1 2.129600-4 5.465832+1 2.155000-4 6.768073+1 2.178881-4 8.037443+1 2.198000-4 9.070974+1 2.220000-4 1.026170+2 2.240000-4 1.132926+2 2.246377-4 1.166451+2 2.264644-4 1.260625+2 2.280000-4 1.337190+2 2.300000-4 1.432708+2 2.313477-4 1.494306+2 2.323000-4 1.536516+2 2.350000-4 1.650449+2 2.380000-4 1.768174+2 2.416156-4 1.900892+2 2.454709-4 2.035119+2 2.520000-4 2.253065+2 2.590547-4 2.481492+2 2.650000-4 2.666745+2 2.723854-4 2.876820+2 2.766049-4 2.984157+2 2.818383-4 3.107193+2 2.879881-4 3.233934+2 2.923170-4 3.309712+2 2.958679-4 3.365043+2 3.000000-4 3.421093+2 3.038101-4 3.459143+2 3.069966-4 3.478559+2 3.095316-4 3.482926+2 3.138324-4 3.469302+2 3.148876-4 3.476810+2 3.159294-4 3.504028+2 3.166606-4 3.541922+2 3.172687-4 3.589228+2 3.180020-4 3.669108+2 3.189007-4 3.805034+2 3.198016-4 3.983720+2 3.211617-4 4.317036+2 3.222546-4 4.605780+2 3.231571-4 4.826469+2 3.238153-4 4.962421+2 3.245981-4 5.085019+2 3.254252-4 5.160559+2 3.257166-4 5.173449+2 3.261804-4 5.179714+2 3.269448-4 5.155375+2 3.277091-4 5.096499+2 3.289232-4 4.963251+2 3.298557-4 4.857059+2 3.305762-4 4.787845+2 3.320163-4 4.711841+2 3.329324-4 4.715910+2 3.337914-4 4.756092+2 3.346293-4 4.823762+2 3.358937-4 4.960558+2 3.376904-4 5.165777+2 3.385399-4 5.244116+2 3.394164-4 5.302923+2 3.402971-4 5.337046+2 3.415220-4 5.346197+2 3.433335-4 5.306226+2 3.456595-4 5.239979+2 3.467369-4 5.222818+2 3.481845-4 5.217402+2 3.540768-4 5.302039+2 3.683247-4 5.544600+2 3.807800-4 5.726166+2 3.927764-4 5.862654+2 4.107410-4 6.008151+2 4.137189-4 6.057252+2 4.312458-4 6.441406+2 4.372460-4 6.551211+2 4.470130-4 6.683979+2 4.608000-4 6.836116+2 4.731512-4 6.947275+2 4.897788-4 7.073173+2 5.263202-4 7.294201+2 5.623414-4 7.447429+2 6.006246-4 7.565481+2 6.300499-4 7.628187+2 6.870036-4 7.693654+2 7.504353-4 7.711595+2 8.222426-4 7.655364+2 9.061237-4 7.557295+2 1.002421-3 7.425322+2 1.054458-3 7.343039+2 1.168275-3 7.110614+2 1.289389-3 6.858746+2 1.353770-3 6.710302+2 1.425946-3 6.535208+2 1.496236-3 6.361276+2 1.578023-3 6.151222+2 1.652609-3 5.942110+2 1.726156-3 5.715923+2 1.789617-3 5.507141+2 1.848737-3 5.296076+2 1.901779-3 5.085908+2 1.944012-3 4.901067+2 1.980133-3 4.726906+2 2.014818-3 4.541502+2 2.044867-3 4.361435+2 2.073570-3 4.166340+2 2.095507-3 3.995973+2 2.115673-3 3.816515+2 2.132513-3 3.642911+2 2.147415-3 3.464359+2 2.159519-3 3.299474+2 2.175620-3 3.063307+2 2.186618-3 2.914117+2 2.192378-3 2.849933+2 2.198194-3 2.799862+2 2.204443-3 2.765867+2 2.208930-3 2.755182+2 2.213969-3 2.756953+2 2.219046-3 2.772762+2 2.224667-3 2.805026+2 2.230188-3 2.849581+2 2.238549-3 2.935974+2 2.250674-3 3.088139+2 2.296302-3 3.765516+2 2.318426-3 4.118835+2 2.332044-3 4.332893+2 2.344726-3 4.523663+2 2.353321-3 4.645278+2 2.361978-3 4.759308+2 2.371374-3 4.871765+2 2.382510-3 4.988603+2 2.395819-3 5.105315+2 2.406935-3 5.185498+2 2.422214-3 5.273693+2 2.440382-3 5.350231+2 2.467924-3 5.422366+2 2.490291-3 5.483967+2 2.500784-3 5.533291+2 2.516474-3 5.643574+2 2.555033-3 6.020136+2 2.567401-3 6.130802+2 2.581624-3 6.239233+2 2.596420-3 6.332579+2 2.616025-3 6.433906+2 2.638772-3 6.530583+2 2.663024-3 6.617220+2 2.696128-3 6.716352+2 2.757176-3 6.856585+2 2.833777-3 6.978667+2 2.926928-3 7.073018+2 3.005378-3 7.122087+2 3.098232-3 7.150674+2 3.239832-3 7.143911+2 3.423824-3 7.085573+2 3.641245-3 6.971211+2 3.841078-3 6.840860+2 4.137496-3 6.614667+2 4.470573-3 6.345392+2 4.812444-3 6.066870+2 5.230461-3 5.736452+2 5.884201-3 5.253498+2 6.546597-3 4.813447+2 7.171747-3 4.443593+2 7.887132-3 4.066473+2 8.748500-3 3.668213+2 9.473737-3 3.370772+2 1.021757-2 3.095552+2 1.105372-2 2.816833+2 1.189144-2 2.565510+2 1.286143-2 2.305246+2 1.381129-2 2.076112+2 1.466920-2 1.886762+2 1.537008-2 1.741008+2 1.591189-2 1.630941+2 1.635861-2 1.539167+2 1.669468-2 1.466856+2 1.697480-2 1.401629+2 1.718312-2 1.347107+2 1.728377-2 1.317346+2 1.737051-2 1.288761+2 1.744110-2 1.262753+2 1.753699-2 1.222621+2 1.766791-2 1.160534+2 1.778418-2 1.108473+2 1.784972-2 1.087185+2 1.790878-2 1.076221+2 1.795305-2 1.073951+2 1.799079-2 1.076125+2 1.804317-2 1.084968+2 1.811027-2 1.104325+2 1.830865-2 1.181025+2 1.838125-2 1.205677+2 1.847536-2 1.231087+2 1.857746-2 1.250981+2 1.865871-2 1.262430+2 1.883649-2 1.278706+2 1.905503-2 1.289014+2 1.931446-2 1.293557+2 1.971314-2 1.290573+2 2.017837-2 1.277910+2 2.084334-2 1.250745+2 2.168036-2 1.209788+2 2.290867-2 1.145488+2 2.432408-2 1.071095+2 2.639562-2 9.688170+1 2.833124-2 8.834233+1 3.111883-2 7.765531+1 3.446013-2 6.708616+1 3.712794-2 6.000632+1 4.057746-2 5.223009+1 4.746541-2 4.043836+1 5.308357-2 3.355174+1 5.928549-2 2.772891+1 8.457795-2 1.479299+1 1.078869-1 9.564684+0 1.295767-1 6.845699+0 1.581985-1 4.721186+0 1.993917-1 3.045715+0 2.639392-1 1.776747+0 3.686061-1 9.283498-1 5.372251-1 4.432363-1 8.709636-1 1.702648-1 1.859734+0 3.754349-2 5.616308+0 4.122400-3 1.696098+1 4.520835-4 5.122134+1 4.957083-5 1.546860+2 5.435343-6 4.671441+2 5.959737-7 1.584893+3 5.177605-8 5.011872+3 5.177605-9 1.584893+4 5.17760-10 5.011872+4 5.17760-11 1.000000+5 1.30056-11 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.807500-6 1.258900-6 2.864600-6 1.584900-6 4.540100-6 1.995300-6 7.195600-6 2.511900-6 1.140400-5 3.162300-6 1.807400-5 3.981100-6 2.864600-5 5.011900-6 4.540000-5 6.309600-6 7.195400-5 7.943300-6 1.140400-4 1.000000-5 1.807400-4 1.258900-5 2.864400-4 1.584900-5 4.537800-4 1.995300-5 7.187700-4 2.511900-5 1.138600-3 3.162300-5 1.803900-3 3.981100-5 2.858300-3 5.011900-5 4.529100-3 6.309600-5 7.176700-3 7.943300-5 1.135600-2 1.000000-4 1.796000-2 1.258900-4 2.840500-2 1.584900-4 4.481500-2 1.995300-4 7.058200-2 2.511900-4 1.107100-1 3.162300-4 1.726300-1 3.981100-4 2.664800-1 5.011900-4 4.056600-1 6.309600-4 6.047500-1 7.943300-4 8.769900-1 1.000000-3 1.228200+0 1.258900-3 1.655200+0 1.584900-3 2.156100+0 1.995300-3 2.746000+0 2.511900-3 3.450800+0 3.162300-3 4.290000+0 3.981100-3 5.274400+0 5.011900-3 6.407100+0 6.309600-3 7.683900+0 7.943300-3 9.036900+0 1.000000-2 1.042900+1 1.258900-2 1.186200+1 1.584900-2 1.328800+1 1.995300-2 1.471600+1 2.511900-2 1.598100+1 3.162300-2 1.703300+1 3.981100-2 1.783100+1 5.011900-2 1.833600+1 6.309600-2 1.851700+1 7.943300-2 1.839600+1 1.000000-1 1.801400+1 1.258900-1 1.740600+1 1.584900-1 1.661800+1 1.995300-1 1.568900+1 2.511900-1 1.466800+1 3.162300-1 1.360000+1 3.981100-1 1.251500+1 5.011900-1 1.143900+1 6.309600-1 1.039000+1 7.943300-1 9.377600+0 1.000000+0 8.415800+0 1.258900+0 7.503700+0 1.584900+0 6.648600+0 1.995300+0 5.853100+0 2.511900+0 5.120400+0 3.162300+0 4.451900+0 3.981100+0 3.847900+0 5.011900+0 3.307300+0 6.309600+0 2.828100+0 7.943300+0 2.406600+0 1.000000+1 2.038800+0 1.258900+1 1.720400+0 1.584900+1 1.446300+0 1.995300+1 1.211900+0 2.511900+1 1.012500+0 3.162300+1 8.435500-1 3.981100+1 7.011000-1 5.011900+1 5.814200-1 6.309600+1 4.812100-1 7.943300+1 3.975400-1 1.000000+2 3.278800-1 1.258900+2 2.700100-1 1.584900+2 2.220500-1 1.995300+2 1.823800-1 2.511900+2 1.496200-1 3.162300+2 1.226100-1 3.981100+2 1.003800-1 5.011900+2 8.209600-2 6.309600+2 6.708700-2 7.943300+2 5.477700-2 1.000000+3 4.469100-2 1.258900+3 3.643600-2 1.584900+3 2.968600-2 1.995300+3 2.417100-2 2.511900+3 1.966800-2 3.162300+3 1.599500-2 3.981100+3 1.300100-2 5.011900+3 1.056100-2 6.309600+3 8.575400-3 7.943300+3 6.959600-3 1.000000+4 5.645700-3 1.258900+4 4.577800-3 1.584900+4 3.710400-3 1.995300+4 3.006100-3 2.511900+4 2.434500-3 3.162300+4 1.970900-3 3.981100+4 1.595000-3 5.011900+4 1.290400-3 6.309600+4 1.043600-3 7.943300+4 8.437100-4 1.000000+5 6.819100-4 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510165-4 3.162278-4 3.159555-4 3.981072-4 3.976773-4 5.011872-4 5.005095-4 6.309573-4 6.298919-4 7.943282-4 7.926586-4 1.000000-3 9.973943-4 1.258925-3 1.254873-3 1.584893-3 1.578598-3 1.995262-3 1.985456-3 2.511886-3 2.496526-3 3.162278-3 3.138191-3 3.981072-3 3.943387-3 5.011872-3 4.952725-3 6.309573-3 6.217243-3 7.943282-3 7.799540-3 1.000000-2 9.776919-3 1.258925-2 1.224333-2 1.584893-2 1.531244-2 1.995262-2 1.912586-2 2.511886-2 2.384960-2 3.162278-2 2.968500-2 3.981072-2 3.687096-2 5.011872-2 4.568505-2 6.309573-2 5.646119-2 7.943282-2 6.957833-2 1.000000-1 8.546785-2 1.258925-1 1.046440-1 1.584893-1 1.276715-1 1.995262-1 1.552547-1 2.511886-1 1.881602-1 3.162278-1 2.272825-1 3.981072-1 2.736434-1 5.011872-1 3.284307-1 6.309573-1 3.930019-1 7.943282-1 4.691547-1 1.000000+0 5.584692-1 1.258925+0 6.639847-1 1.584893+0 7.882669-1 1.995262+0 9.353555-1 2.511886+0 1.109894+0 3.162278+0 1.317621+0 3.981072+0 1.565550+0 5.011872+0 1.862352+0 6.309573+0 2.218543+0 7.943282+0 2.647040+0 1.000000+1 3.163655+0 1.258925+1 3.787658+0 1.584893+1 4.542797+0 1.995262+1 5.457954+0 2.511886+1 6.568732+0 3.162278+1 7.918645+0 3.981072+1 9.561168+0 5.011872+1 1.156195+1 6.309573+1 1.400158+1 7.943282+1 1.697919+1 1.000000+2 2.061646+1 1.258925+2 2.506385+1 1.584893+2 3.050549+1 1.995262+2 3.716872+1 2.511886+2 4.533383+1 3.162278+2 5.534644+1 3.981072+2 6.763090+1 5.011872+2 8.271418+1 6.309573+2 1.012434+2 7.943282+2 1.240198+2 1.000000+3 1.520268+2 1.258925+3 1.864910+2 1.584893+3 2.289230+2 1.995262+3 2.811766+2 2.511886+3 3.455656+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88205-10 1.995262-5 1.090648-9 2.511886-5 1.728532-9 3.162278-5 2.739560-9 3.981072-5 4.341940-9 5.011872-5 6.881466-9 6.309573-5 1.090605-8 7.943282-5 1.727735-8 1.000000-4 2.737524-8 1.258925-4 4.337803-8 1.584893-4 6.869684-8 1.995262-4 1.087826-7 2.511886-4 1.721653-7 3.162278-4 2.722400-7 3.981072-4 4.298583-7 5.011872-4 6.776901-7 6.309573-4 1.065468-6 7.943282-4 1.669607-6 1.000000-3 2.605725-6 1.258925-3 4.052197-6 1.584893-3 6.295353-6 1.995262-3 9.806080-6 2.511886-3 1.536083-5 3.162278-3 2.408635-5 3.981072-3 3.768506-5 5.011872-3 5.914735-5 6.309573-3 9.233080-5 7.943282-3 1.437428-4 1.000000-2 2.230807-4 1.258925-2 3.459286-4 1.584893-2 5.364887-4 1.995262-2 8.267614-4 2.511886-2 1.269260-3 3.162278-2 1.937773-3 3.981072-2 2.939759-3 5.011872-2 4.433670-3 6.309573-2 6.634544-3 7.943282-2 9.854492-3 1.000000-1 1.453215-2 1.258925-1 2.124856-2 1.584893-1 3.081783-2 1.995262-1 4.427157-2 2.511886-1 6.302842-2 3.162278-1 8.894524-2 3.981072-1 1.244637-1 5.011872-1 1.727565-1 6.309573-1 2.379554-1 7.943282-1 3.251735-1 1.000000+0 4.415308-1 1.258925+0 5.949408-1 1.584893+0 7.966263-1 1.995262+0 1.059907+0 2.511886+0 1.401993+0 3.162278+0 1.844657+0 3.981072+0 2.415522+0 5.011872+0 3.149520+0 6.309573+0 4.091031+0 7.943282+0 5.296242+0 1.000000+1 6.836345+0 1.258925+1 8.801596+0 1.584893+1 1.130614+1 1.995262+1 1.449467+1 2.511886+1 1.855013+1 3.162278+1 2.370413+1 3.981072+1 3.024955+1 5.011872+1 3.855678+1 6.309573+1 4.909416+1 7.943282+1 6.245363+1 1.000000+2 7.938354+1 1.258925+2 1.008287+2 1.584893+2 1.279838+2 1.995262+2 1.623575+2 2.511886+2 2.058548+2 3.162278+2 2.608813+2 3.981072+2 3.304763+2 5.011872+2 4.184731+2 6.309573+2 5.297140+2 7.943282+2 6.703084+2 1.000000+3 8.479732+2 1.258925+3 1.072434+3 1.584893+3 1.355970+3 1.995262+3 1.714086+3 2.511886+3 2.166321+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.120000-6 2.051360+6 6.190000-6 1.932530+6 6.400000-6 1.593654+6 6.520000-6 1.427172+6 6.520000-6 4.715091+6 6.606934-6 4.700906+6 6.670000-6 4.695743+6 6.670000-6 6.773679+6 6.760830-6 6.837004+6 6.800000-6 6.864510+6 7.000000-6 7.030148+6 7.200000-6 7.207090+6 7.350000-6 7.361541+6 7.420000-6 7.429200+6 7.650000-6 7.671816+6 7.762471-6 7.801128+6 7.852356-6 7.896341+6 8.050000-6 8.117263+6 8.200000-6 8.294945+6 8.270000-6 8.372531+6 8.420000-6 8.543208+6 8.609938-6 8.768248+6 8.709636-6 8.885049+6 8.770000-6 8.952685+6 8.920000-6 9.123548+6 9.100000-6 9.333919+6 9.120108-6 9.357708+6 9.225714-6 9.479162+6 9.280000-6 9.538601+6 9.440609-6 9.716310+6 9.600000-6 9.895559+6 9.772372-6 1.009232+7 9.885531-6 1.021780+7 9.930000-6 1.026451+7 1.010000-5 1.044419+7 1.027000-5 1.062562+7 1.042000-5 1.078702+7 1.047129-5 1.084245+7 1.059254-5 1.096862+7 1.060000-5 1.097592+7 1.100000-5 1.136999+7 1.115000-5 1.151880+7 1.120000-5 1.156851+7 1.123000-5 1.159711+7 1.131000-5 1.167344+7 1.135011-5 1.171176+7 1.138000-5 1.173823+7 1.146000-5 1.180915+7 1.154000-5 1.188012+7 1.161449-5 1.194623+7 1.168000-5 1.200440+7 1.174898-5 1.206567+7 1.182000-5 1.212877+7 1.188502-5 1.218655+7 1.195000-5 1.224161+7 1.202264-5 1.230317+7 1.209000-5 1.236024+7 1.216186-5 1.242111+7 1.222000-5 1.246617+7 1.230269-5 1.253022+7 1.237000-5 1.258232+7 1.245000-5 1.264421+7 1.255000-5 1.272150+7 1.258925-5 1.275182+7 1.265000-5 1.279590+7 1.280000-5 1.290457+7 1.290000-5 1.297690+7 1.333521-5 1.325701+7 1.340000-5 1.329533+7 1.364583-5 1.344012+7 1.365000-5 1.344224+7 1.380384-5 1.352037+7 1.400000-5 1.361946+7 1.420000-5 1.371010+7 1.428894-5 1.375018+7 1.445440-5 1.381059+7 1.462177-5 1.387126+7 1.470000-5 1.389541+7 1.496236-5 1.397571+7 1.500000-5 1.398714+7 1.522000-5 1.403363+7 1.531087-5 1.405266+7 1.550000-5 1.408140+7 1.570000-5 1.411141+7 1.580000-5 1.411694+7 1.590000-5 1.412239+7 1.610000-5 1.412211+7 1.640590-5 1.412162+7 1.650000-5 1.411230+7 1.678804-5 1.406710+7 1.710000-5 1.401910+7 1.717908-5 1.399947+7 1.757924-5 1.387900+7 1.778279-5 1.381911+7 1.800000-5 1.372472+7 1.840772-5 1.355215+7 1.850000-5 1.350681+7 1.905461-5 1.321257+7 1.972423-5 1.278677+7 1.980000-5 1.274033+7 2.041738-5 1.230185+7 2.113489-5 1.175251+7 2.190000-5 1.113554+7 2.270000-5 1.047278+7 2.350000-5 9.807285+6 2.371374-5 9.625863+6 2.426610-5 9.179402+6 2.483133-5 8.722000+6 2.511886-5 8.501908+6 2.610000-5 7.759849+6 2.722701-5 6.964609+6 2.754229-5 6.750111+6 2.818383-5 6.340767+6 2.917427-5 5.745494+6 3.040000-5 5.077843+6 3.090295-5 4.821377+6 3.162278-5 4.483335+6 3.273407-5 3.998735+6 3.300000-5 3.890119+6 3.400000-5 3.507429+6 3.427678-5 3.407408+6 3.467369-5 3.267669+6 3.540000-5 3.030492+6 3.570000-5 2.936432+6 3.672823-5 2.635993+6 3.674000-5 2.632698+6 3.674000-5 7.763698+6 3.690000-5 7.676703+6 3.725000-5 7.490002+6 3.770000-5 7.238241+6 3.801894-5 7.051335+6 3.850000-5 6.776725+6 3.863000-5 6.699403+6 3.863000-5 9.215823+6 3.900000-5 8.967124+6 3.935501-5 8.727629+6 3.940000-5 8.697656+6 3.950000-5 8.628623+6 3.960000-5 8.559977+6 4.030000-5 8.080545+6 4.073803-5 7.779300+6 4.120975-5 7.467555+6 4.150000-5 7.279006+6 4.216965-5 6.854891+6 4.220000-5 6.836047+6 4.300000-5 6.357259+6 4.315191-5 6.269098+6 4.365158-5 5.985293+6 4.450000-5 5.535349+6 4.472100-5 5.423401+6 4.500000-5 5.283566+6 4.518559-5 5.192165+6 4.598600-5 4.819953+6 4.650000-5 4.595410+6 4.677351-5 4.480176+6 4.786301-5 4.050859+6 4.800000-5 4.000007+6 4.841724-5 3.848636+6 4.954502-5 3.473861+6 5.011872-5 3.299463+6 5.080000-5 3.105044+6 5.188000-5 2.823443+6 5.230000-5 2.722628+6 5.248075-5 2.680460+6 5.308844-5 2.544176+6 5.370318-5 2.416862+6 5.400000-5 2.358077+6 5.500000-5 2.172454+6 5.580000-5 2.036752+6 5.623413-5 1.968811+6 5.688529-5 1.872247+6 5.754399-5 1.780380+6 5.821032-5 1.693887+6 5.888437-5 1.613705+6 5.950000-5 1.544583+6 5.996000-5 1.495367+6 5.996000-5 1.677860+6 6.025596-5 1.647680+6 6.116000-5 1.563622+6 6.165950-5 1.519931+6 6.237348-5 1.460933+6 6.300000-5 1.413540+6 6.456542-5 1.307163+6 6.500000-5 1.280911+6 6.531306-5 1.262609+6 6.606934-5 1.220897+6 6.654400-5 1.195988+6 6.683439-5 1.181238+6 6.760830-5 1.144824+6 6.767700-5 1.141749+6 6.770000-5 1.140726+6 6.850000-5 1.106285+6 6.900000-5 1.085798+6 6.950000-5 1.066796+6 7.000000-5 1.048503+6 7.030000-5 1.038088+6 7.079458-5 1.021428+6 7.110000-5 1.011806+6 7.190000-5 9.876678+5 7.244360-5 9.720636+5 7.270000-5 9.650641+5 7.300000-5 9.570915+5 7.350000-5 9.447180+5 7.413102-5 9.297425+5 7.420000-5 9.281157+5 7.500000-5 9.098852+5 7.585776-5 8.929255+5 7.673615-5 8.765135+5 7.737400-5 8.651915+5 7.762471-5 8.612541+5 7.852356-5 8.477273+5 7.900000-5 8.408918+5 7.943282-5 8.346562+5 7.950000-5 8.337290+5 8.000000-5 8.270296+5 8.040000-5 8.221512+5 8.150000-5 8.093736+5 8.230000-5 8.009733+5 8.270000-5 7.972082+5 8.317638-5 7.929004+5 8.400000-5 7.853489+5 8.413951-5 7.841026+5 8.511380-5 7.761024+5 8.570000-5 7.719112+5 8.650000-5 7.664131+5 8.709636-5 7.626805+5 8.800000-5 7.568552+5 8.810489-5 7.561979+5 8.850000-5 7.540194+5 8.912509-5 7.506709+5 9.120108-5 7.408508+5 9.150000-5 7.393888+5 9.225714-5 7.362123+5 9.549926-5 7.246265+5 9.566300-5 7.241943+5 9.660509-5 7.214419+5 9.885531-5 7.151694+5 9.900000-5 7.147822+5 1.000000-4 7.122952+5 1.023293-4 7.068909+5 1.030000-4 7.054889+5 1.047129-4 7.019696+5 1.050000-4 7.013247+5 1.060000-4 6.990447+5 1.071519-4 6.967575+5 1.083927-4 6.945881+5 1.090000-4 6.935014+5 1.109175-4 6.900902+5 1.120000-4 6.880102+5 1.122018-4 6.876116+5 1.135011-4 6.850162+5 1.150000-4 6.822960+5 1.161449-4 6.801914+5 1.190000-4 6.750094+5 1.202264-4 6.725883+5 1.230269-4 6.671118+5 1.244515-4 6.643701+5 1.273503-4 6.588400+5 1.288250-4 6.560129+5 1.318257-4 6.499694+5 1.338300-4 6.459470+5 1.364583-4 6.407183+5 1.380384-4 6.373812+5 1.412538-4 6.306628+5 1.430000-4 6.268416+5 1.462177-4 6.198916+5 1.480000-4 6.160604+5 1.500000-4 6.117711+5 1.513561-4 6.086860+5 1.531087-4 6.046576+5 1.540000-4 6.025529+5 1.580000-4 5.932117+5 1.603245-4 5.878451+5 1.621810-4 5.835977+5 1.650000-4 5.770022+5 1.659587-4 5.747066+5 1.717908-4 5.605993+5 1.737801-4 5.559000+5 1.757924-4 5.511875+5 1.770000-4 5.482899+5 1.800000-4 5.412319+5 1.820000-4 5.363675+5 1.890000-4 5.199049+5 1.904900-4 5.164948+5 1.904900-4 7.092088+5 1.905461-4 7.089583+5 1.911000-4 7.064484+5 1.917000-4 7.049771+5 1.922000-4 7.048616+5 1.927525-4 7.059428+5 1.930900-4 7.075222+5 1.930900-4 8.385526+5 1.933000-4 8.390879+5 1.935000-4 8.401001+5 1.937000-4 8.413873+5 1.942000-4 8.459273+5 1.946500-4 8.522049+5 1.948000-4 8.547743+5 1.950000-4 8.585595+5 1.951500-4 8.614343+5 1.953000-4 8.648270+5 1.957000-4 8.747199+5 1.962000-4 8.901586+5 1.963000-4 8.935145+5 1.966500-4 9.067654+5 1.969000-4 9.169500+5 1.970000-4 9.214129+5 1.974000-4 9.404412+5 1.975000-4 9.455395+5 1.979500-4 9.706676+5 1.983000-4 9.920719+5 1.985000-4 1.005289+6 1.990000-4 1.041084+6 1.996000-4 1.088840+6 2.000000-4 1.123889+6 2.002000-4 1.142182+6 2.010000-4 1.222623+6 2.019200-4 1.325782+6 2.027000-4 1.420776+6 2.035000-4 1.524813+6 2.041738-4 1.615528+6 2.043000-4 1.633378+6 2.045000-4 1.660972+6 2.050000-4 1.731460+6 2.052000-4 1.759502+6 2.058000-4 1.845477+6 2.060000-4 1.873897+6 2.067000-4 1.975412+6 2.075000-4 2.090706+6 2.083000-4 2.204742+6 2.085000-4 2.233502+6 2.089296-4 2.293443+6 2.092000-4 2.332183+6 2.095000-4 2.374648+6 2.100000-4 2.443840+6 2.105000-4 2.513031+6 2.110000-4 2.581165+6 2.113489-4 2.628205+6 2.115000-4 2.648884+6 2.120000-4 2.714900+6 2.129600-4 2.842163+6 2.131000-4 2.860228+6 2.137962-4 2.948401+6 2.142000-4 3.000938+6 2.143500-4 3.019733+6 2.155000-4 3.162585+6 2.162719-4 3.253431+6 2.170000-4 3.341727+6 2.185000-4 3.511769+6 2.187762-4 3.542827+6 2.198000-4 3.652056+6 2.205000-4 3.725760+6 2.213095-4 3.806966+6 2.220000-4 3.874292+6 2.230000-4 3.966295+6 2.238721-4 4.044153+6 2.240000-4 4.055694+6 2.245000-4 4.097011+6 2.260000-4 4.216100+6 2.264644-4 4.250133+6 2.280000-4 4.356979+6 2.290868-4 4.421953+6 2.300000-4 4.477140+6 2.317395-4 4.564159+6 2.323000-4 4.592483+6 2.350000-4 4.701312+6 2.371374-4 4.768080+6 2.380000-4 4.795183+6 2.415000-4 4.878147+6 2.426610-4 4.898715+6 2.454709-4 4.948577+6 2.511886-4 5.020453+6 2.520000-4 5.029011+6 2.540973-4 5.045551+6 2.570396-4 5.068733+6 2.580000-4 5.076285+6 2.650000-4 5.098996+6 2.660725-4 5.096942+6 2.722701-4 5.085312+6 2.754229-4 5.063900+6 2.800000-4 5.033217+6 2.818383-4 5.013508+6 2.851018-4 4.978992+6 2.884032-4 4.944693+6 2.917427-4 4.900026+6 3.000000-4 4.793398+6 3.054921-4 4.712058+6 3.090295-4 4.661014+6 3.126079-4 4.610497+6 3.162278-4 4.553052+6 3.240000-4 4.434206+6 3.308800-4 4.320675+6 3.308800-4 4.725372+6 3.311311-4 4.721835+6 3.350000-4 4.668167+6 3.388442-4 4.606135+6 3.427678-4 4.544553+6 3.449300-4 4.511386+6 3.449300-4 4.699317+6 3.470000-4 4.668669+6 3.480000-4 4.653358+6 3.500000-4 4.622229+6 3.510000-4 4.605979+6 3.548134-4 4.544748+6 3.630781-4 4.417823+6 3.672823-4 4.353489+6 3.715352-4 4.284720+6 3.758374-4 4.215853+6 3.801894-4 4.147947+6 3.845918-4 4.079865+6 3.850000-4 4.073654+6 3.890451-4 4.008967+6 3.935501-4 3.938603+6 4.100000-4 3.695235+6 4.120975-4 3.664336+6 4.168694-4 3.595328+6 4.200000-4 3.551244+6 4.220600-4 3.522710+6 4.220600-4 3.682286+6 4.265795-4 3.619278+6 4.315191-4 3.552509+6 4.350000-4 3.505662+6 4.430000-4 3.398370+6 4.518559-4 3.284942+6 4.570882-4 3.220897+6 4.623810-4 3.156672+6 4.731513-4 3.028028+6 4.750000-4 3.006802+6 4.786301-4 2.965802+6 4.897788-4 2.845015+6 4.954502-4 2.785346+6 5.069907-4 2.667893+6 5.128614-4 2.610947+6 5.248075-4 2.501018+6 5.308844-4 2.446760+6 5.370318-4 2.392710+6 5.432503-4 2.339893+6 5.559043-4 2.237570+6 5.623413-4 2.188251+6 5.688529-4 2.139164+6 5.754399-4 2.090346+6 5.888437-4 1.996302+6 5.900000-4 1.988506+6 5.956621-4 1.950867+6 6.000000-4 1.922523+6 6.025596-4 1.906088+6 6.095369-4 1.862211+6 6.237348-4 1.776879+6 6.382635-4 1.694227+6 6.456542-4 1.654164+6 6.500000-4 1.631289+6 6.606934-4 1.577039+6 6.683439-4 1.539930+6 6.760830-4 1.503220+6 7.000000-4 1.396526+6 7.079458-4 1.363446+6 7.300000-4 1.277735+6 7.328245-4 1.267210+6 7.413102-4 1.236379+6 7.500000-4 1.205606+6 7.673615-4 1.147096+6 7.762471-4 1.118799+6 7.852356-4 1.091251+6 8.035261-4 1.037940+6 8.128305-4 1.012141+6 8.200000-4 9.927588+5 8.222426-4 9.867453+5 8.317638-4 9.618170+5 8.511380-4 9.139507+5 8.609938-4 8.908971+5 8.709636-4 8.684642+5 8.810489-4 8.466187+5 8.912509-4 8.252085+5 9.000000-4 8.073837+5 9.015711-4 8.042446+5 9.225714-4 7.636140+5 9.332543-4 7.440911+5 9.440609-4 7.250196+5 9.660509-4 6.884254+5 9.772372-4 6.707156+5 9.885531-4 6.534756+5 1.000000-3 6.365895+5 1.011579-3 6.200174+5 1.023293-3 6.038360+5 1.040000-3 5.817745+5 1.047129-3 5.727243+5 1.059254-3 5.578093+5 1.083927-3 5.290114+5 1.096478-3 5.152093+5 1.102110-3 5.091582+5 1.110000-3 5.008509+5 1.161449-3 4.507822+5 1.202264-3 4.159207+5 1.216186-3 4.049209+5 1.230269-3 3.941211+5 1.244515-3 3.835521+5 1.273503-3 3.632860+5 1.288250-3 3.535095+5 1.303167-3 3.440119+5 1.333521-3 3.258121+5 1.350000-3 3.164876+5 1.364583-3 3.085445+5 1.396368-3 2.920374+5 1.412538-3 2.841306+5 1.428894-3 2.763881+5 1.462177-3 2.615652+5 1.479108-3 2.544685+5 1.500000-3 2.460597+5 1.513561-3 2.408177+5 1.531087-3 2.342574+5 1.548817-3 2.278458+5 1.566751-3 2.215725+5 1.584893-3 2.154757+5 1.621810-3 2.037750+5 1.640590-3 1.981559+5 1.698244-3 1.822507+5 1.717908-3 1.772338+5 1.730000-3 1.742339+5 1.757924-3 1.675250+5 1.778279-3 1.628655+5 1.800000-3 1.580980+5 1.819701-3 1.539296+5 1.840772-3 1.496468+5 1.862087-3 1.454872+5 1.905461-3 1.375075+5 1.927525-3 1.336744+5 1.949845-3 1.299110+5 1.972423-3 1.262592+5 1.995262-3 1.227117+5 2.018366-3 1.192549+5 2.065380-3 1.126449+5 2.113489-3 1.064161+5 2.137962-3 1.034375+5 2.150000-3 1.020043+5 2.162719-3 1.005146+5 2.187762-3 9.766497+4 2.213095-3 9.489194+4 2.220000-3 9.415516+4 2.224800-3 9.364545+4 2.224800-3 3.519042+5 2.264644-3 3.368940+5 2.312200-3 3.201428+5 2.312200-3 4.432213+5 2.317395-3 4.407826+5 2.371374-3 4.165294+5 2.400000-3 4.044292+5 2.403000-3 4.031880+5 2.426610-3 3.940576+5 2.440000-3 3.890074+5 2.454709-3 3.833184+5 2.483133-3 3.724055+5 2.500000-3 3.661345+5 2.514600-3 3.608182+5 2.514600-3 4.132606+5 2.532000-3 4.065042+5 2.540973-3 4.030819+5 2.570396-3 3.921478+5 2.600160-3 3.812654+5 2.660725-3 3.601463+5 2.722701-3 3.402051+5 2.754229-3 3.306470+5 2.770000-3 3.260052+5 2.786121-3 3.213146+5 2.818383-3 3.121222+5 2.917427-3 2.861376+5 2.951209-3 2.779754+5 3.019952-3 2.623414+5 3.090295-3 2.474985+5 3.126079-3 2.404006+5 3.198895-3 2.268058+5 3.273407-3 2.139992+5 3.300000-3 2.096702+5 3.349654-3 2.018873+5 3.400000-3 1.943976+5 3.427678-3 1.904145+5 3.467369-3 1.848986+5 3.507519-3 1.795454+5 3.548134-3 1.743467+5 3.589219-3 1.693005+5 3.672823-3 1.596528+5 3.715352-3 1.550424+5 3.801894-3 1.461840+5 3.845918-3 1.418922+5 3.890451-3 1.377302+5 3.935501-3 1.336929+5 4.000000-3 1.281946+5 4.027170-3 1.259735+5 4.073803-3 1.222690+5 4.168694-3 1.151444+5 4.265795-3 1.084452+5 4.315191-3 1.052469+5 4.415704-3 9.913016+4 4.466836-3 9.619570+4 4.518559-3 9.334914+4 4.677351-3 8.522062+4 4.731513-3 8.265852+4 4.841724-3 7.776582+4 4.954502-3 7.316561+4 5.011872-3 7.097019+4 5.069907-3 6.884207+4 5.128614-3 6.677869+4 5.248075-3 6.282185+4 5.308844-3 6.093495+4 5.370318-3 5.909322+4 5.432503-3 5.730370+4 5.500000-3 5.544416+4 5.559043-3 5.388508+4 5.623413-3 5.225351+4 5.754399-3 4.914039+4 5.792850-3 4.827589+4 5.821032-3 4.765569+4 5.956621-3 4.479661+4 6.000000-3 4.392929+4 6.025596-3 4.342845+4 6.095369-3 4.209656+4 6.165950-3 4.080520+4 6.237348-3 3.955460+4 6.309573-3 3.834341+4 6.382635-3 3.716967+4 6.531306-3 3.492982+4 6.839116-3 3.085663+4 6.918310-3 2.991032+4 6.998420-3 2.898634+4 7.079458-3 2.809169+4 7.161434-3 2.722531+4 7.244360-3 2.638590+4 7.413102-3 2.477914+4 7.500000-3 2.400454+4 7.585776-3 2.327206+4 7.852356-3 2.118511+4 7.943282-3 2.052610+4 8.000000-3 2.012897+4 8.128305-3 1.926926+4 8.317638-3 1.809086+4 8.413951-3 1.752802+4 8.511380-3 1.698313+4 8.609938-3 1.645566+4 8.709636-3 1.594502+4 8.810489-3 1.545069+4 9.015711-3 1.450160+4 9.120108-3 1.404693+4 9.225714-3 1.360647+4 9.440609-3 1.276724+4 9.500000-3 1.254800+4 9.660509-3 1.197926+4 9.772372-3 1.160385+4 1.000000-2 1.088882+4 1.023293-2 1.021905+4 1.035142-2 9.900231+3 1.059254-2 9.287000+3 1.083927-2 8.709222+3 1.122018-2 7.910918+3 1.148154-2 7.419271+3 1.188502-2 6.739898+3 1.202264-2 6.527761+3 1.216186-2 6.321046+3 1.244515-2 5.926918+3 1.273503-2 5.556152+3 1.288250-2 5.379766+3 1.333521-2 4.884386+3 1.348963-2 4.729441+3 1.364583-2 4.579528+3 1.380384-2 4.433397+3 1.396368-2 4.292048+3 1.412538-2 4.155236+3 1.428894-2 4.022905+3 1.445440-2 3.894735+3 1.462177-2 3.770750+3 1.500000-2 3.508816+3 1.548817-2 3.206557+3 1.566751-2 3.104555+3 1.584893-2 3.005030+3 1.621810-2 2.815165+3 1.659587-2 2.637515+3 1.678804-2 2.553044+3 1.737801-2 2.315589+3 1.757924-2 2.241275+3 1.796200-2 2.108749+3 1.796200-2 1.429929+4 1.819701-2 1.386275+4 1.828000-2 1.371290+4 1.840772-2 1.345624+4 1.862087-2 1.304238+4 1.870000-2 1.289318+4 1.883649-2 1.265977+4 1.905461-2 1.229891+4 1.930000-2 1.190984+4 1.949845-2 1.159042+4 1.972423-2 1.124123+4 2.000000-2 1.083404+4 2.041738-2 1.025557+4 2.065380-2 9.953582+3 2.113489-2 9.375875+3 2.137962-2 9.099764+3 2.187762-2 8.571115+3 2.213095-2 8.318480+3 2.238721-2 8.073318+3 2.264644-2 7.835418+3 2.290868-2 7.597531+3 2.317395-2 7.366901+3 2.426610-2 6.512405+3 2.483133-2 6.123074+3 2.500000-2 6.013111+3 2.570396-2 5.581877+3 2.600160-2 5.412321+3 2.691535-2 4.934032+3 2.722701-2 4.781307+3 2.818383-2 4.350828+3 2.884032-2 4.085667+3 2.917427-2 3.959191+3 2.951209-2 3.836486+3 3.019952-2 3.602400+3 3.054921-2 3.490785+3 3.090295-2 3.382639+3 3.162278-2 3.176315+3 3.198895-2 3.077939+3 3.311311-2 2.800717+3 3.349654-2 2.713992+3 3.427678-2 2.545660+3 3.467369-2 2.465362+3 3.548134-2 2.312258+3 3.630781-2 2.168681+3 3.758374-2 1.969902+3 3.890451-2 1.789347+3 4.027170-2 1.623947+3 4.073803-2 1.572292+3 4.168694-2 1.473751+3 4.216965-2 1.426824+3 4.365158-2 1.294793+3 4.415704-2 1.253563+3 4.466836-2 1.213647+3 4.500000-2 1.188672+3 4.677351-2 1.064724+3 4.841724-2 9.649685+2 5.011872-2 8.744743+2 5.128614-2 8.189167+2 5.248075-2 7.668937+2 5.308844-2 7.421375+2 5.370318-2 7.181769+2 5.500000-2 6.709493+2 5.623413-2 6.293280+2 5.821032-2 5.696291+2 6.025596-2 5.155412+2 6.165950-2 4.823704+2 6.309573-2 4.513368+2 6.382635-2 4.365779+2 6.456542-2 4.222998+2 6.606934-2 3.951313+2 6.760830-2 3.697126+2 6.998420-2 3.342647+2 7.079458-2 3.232218+2 7.161434-2 3.125328+2 7.328245-2 2.922049+2 7.413102-2 2.825426+2 7.762471-2 2.469880+2 8.128305-2 2.159070+2 8.511380-2 1.887413+2 8.609938-2 1.824467+2 8.709636-2 1.763623+2 8.912509-2 1.647851+2 9.120108-2 1.539685+2 9.660509-2 1.299343+2 9.772372-2 1.255976+2 9.885531-2 1.214057+2 1.035142-1 1.059935+2 1.047129-1 1.024565+2 1.071519-1 9.573357+1 1.083927-1 9.253935+1 1.109175-1 8.646739+1 1.135011-1 8.079089+1 1.148154-1 7.809402+1 1.188502-1 7.050859+1 1.216186-1 6.586578+1 1.244515-1 6.152889+1 1.273503-1 5.747815+1 1.288250-1 5.555376+1 1.333521-1 5.015914+1 1.348963-1 4.847997+1 1.380384-1 4.528897+1 1.412538-1 4.230804+1 1.445440-1 3.952350+1 1.462177-1 3.820082+1 1.479108-1 3.692241+1 1.500000-1 3.542264+1 1.531088-1 3.333840+1 1.566751-1 3.114473+1 1.603245-1 2.909545+1 1.621810-1 2.812197+1 1.640590-1 2.718107+1 1.659587-1 2.627179+1 1.678804-1 2.539295+1 1.698244-1 2.454350+1 1.737801-1 2.292900+1 1.757924-1 2.216203+1 1.840772-1 1.934258+1 1.862087-1 1.869567+1 1.883649-1 1.807600+1 1.949845-1 1.633776+1 2.000000-1 1.516725+1 2.041738-1 1.427747+1 2.065380-1 1.380473+1 2.089296-1 1.334765+1 2.137962-1 1.247842+1 2.162719-1 1.206531+1 2.187762-1 1.166590+1 2.213095-1 1.127973+1 2.238721-1 1.090635+1 2.264644-1 1.054533+1 2.290868-1 1.019626+1 2.299100-1 1.009128+1 2.317395-1 9.863160+0 2.371374-1 9.229286+0 2.426610-1 8.636163+0 2.454709-1 8.354091+0 2.483133-1 8.081238+0 2.511886-1 7.817700+0 2.540973-1 7.562789+0 2.570396-1 7.316210+0 2.600160-1 7.077669+0 2.691535-1 6.407724+0 2.722701-1 6.201690+0 2.786121-1 5.809333+0 2.851018-1 5.441814+0 2.884032-1 5.266868+0 2.917427-1 5.097572+0 2.985383-1 4.775686+0 3.000000-1 4.710066+0 3.000060-1 4.709799+0 3.019952-1 4.622442+0 3.054921-1 4.474132+0 3.090295-1 4.330581+0 3.126079-1 4.191639+0 3.162278-1 4.059398+0 3.198895-1 3.931335+0 3.235937-1 3.807311+0 3.349654-1 3.458237+0 3.388442-1 3.349347+0 3.427678-1 3.243922+0 3.467369-1 3.141817+0 3.507519-1 3.042933+0 3.548134-1 2.947161+0 3.589219-1 2.856118+0 3.630781-1 2.767886+0 3.672823-1 2.682384+0 3.715352-1 2.599534+0 3.758374-1 2.519242+0 3.801894-1 2.441441+0 3.845918-1 2.366181+0 3.935501-1 2.222600+0 3.981072-1 2.154115+0 4.000000-1 2.126517+0 4.027170-1 2.088553+0 4.073803-1 2.025547+0 4.120975-1 1.964443+0 4.168694-1 1.905183+0 4.216965-1 1.847717+0 4.265795-1 1.791985+0 4.315191-1 1.738045+0 4.365158-1 1.685750+0 4.415705-1 1.635027+0 4.466836-1 1.585841+0 4.518559-1 1.539138+0 4.570882-1 1.493811+0 4.623810-1 1.449819+0 4.677351-1 1.407128+0 4.786301-1 1.325479+0 4.841724-1 1.286537+0 4.897788-1 1.248761+0 4.954502-1 1.212095+0 5.011872-1 1.177311+0 5.069907-1 1.143526+0 5.128614-1 1.110711+0 5.248075-1 1.047885+0 5.308844-1 1.017822+0 5.370318-1 9.886913-1 5.432503-1 9.604070-1 5.495409-1 9.329323-1 5.559043-1 9.069073-1 5.623413-1 8.816087-1 5.754399-1 8.331140-1 5.821032-1 8.098799-1 5.888437-1 7.872937-1 5.956621-1 7.653958-1 6.025596-1 7.441172-1 6.095369-1 7.234309-1 6.165950-1 7.038438-1 6.309573-1 6.662509-1 6.456542-1 6.306711-1 6.531306-1 6.136001-1 6.606935-1 5.970435-1 6.683439-1 5.809422-1 6.760830-1 5.656891-1 6.918310-1 5.363795-1 6.998420-1 5.223014-1 7.079458-1 5.085927-1 7.161434-1 4.952444-1 7.244360-1 4.822826-1 7.328245-1 4.700484-1 7.413102-1 4.581308-1 7.498942-1 4.465164-1 7.585776-1 4.351991-1 7.673615-1 4.241688-1 7.762471-1 4.134183-1 7.852356-1 4.029403-1 7.943282-1 3.927279-1 8.035261-1 3.828029-1 8.128305-1 3.734083-1 8.317638-1 3.553165-1 8.413951-1 3.466029-1 8.511380-1 3.381031-1 8.609938-1 3.298119-1 8.709636-1 3.217254-1 8.810489-1 3.138370-1 8.912509-1 3.061423-1 9.015711-1 2.986595-1 9.120108-1 2.913599-1 9.225714-1 2.844385-1 9.440609-1 2.710874-1 9.549926-1 2.646488-1 9.660509-1 2.583646-1 9.772372-1 2.522531-1 9.885531-1 2.462912-1 1.000000+0 2.406756-1 1.011579+0 2.351883-1 1.023293+0 2.298259-1 1.035142+0 2.245868-1 1.059254+0 2.144654-1 1.071519+0 2.095775-1 1.083927+0 2.048118-1 1.109175+0 1.956034-1 1.122018+0 1.911567-1 1.135011+0 1.869347-1 1.148154+0 1.828065-1 1.161449+0 1.787696-1 1.174898+0 1.748220-1 1.188600+0 1.709345-1 1.202264+0 1.671997-1 1.216186+0 1.635202-1 1.244515+0 1.564039-1 1.258925+0 1.530737-1 1.273503+0 1.498144-1 1.288250+0 1.466245-1 1.318257+0 1.404474-1 1.348963+0 1.345494-1 1.380384+0 1.289000-1 1.396368+0 1.262513-1 1.412538+0 1.236572-1 1.428894+0 1.211166-1 1.462177+0 1.161909-1 1.479108+0 1.138111-1 1.513561+0 1.091970-1 1.531087+0 1.069609-1 1.548817+0 1.047717-1 1.566751+0 1.026938-1 1.584893+0 1.006573-1 1.640590+0 9.478681-2 1.659587+0 9.291321-2 1.717908+0 8.751183-2 1.737801+0 8.578343-2 1.757924+0 8.414216-2 1.778279+0 8.253251-2 1.798871+0 8.095357-2 1.819701+0 7.940486-2 1.840772+0 7.788580-2 1.883649+0 7.494412-2 1.927525+0 7.211359-2 1.949845+0 7.073903-2 1.972423+0 6.943456-2 2.000000+0 6.789347-2 2.018366+0 6.689760-2 2.065380+0 6.445329-2 2.089296+0 6.326488-2 2.113489+0 6.210228-2 2.162719+0 5.984082-2 2.187762+0 5.874129-2 2.213095+0 5.766213-2 2.238721+0 5.663657-2 2.264644+0 5.562934-2 2.290868+0 5.463999-2 2.344229+0 5.271383-2 2.371374+0 5.177638-2 2.398833+0 5.085856-2 2.454709+0 4.907147-2 2.483133+0 4.820171-2 2.511886+0 4.734751-2 2.540973+0 4.653524-2 2.570396+0 4.573700-2 2.600160+0 4.495245-2 2.660725+0 4.342352-2 2.691535+0 4.267868-2 2.754229+0 4.123171-2 2.818383+0 3.983383-2 2.851018+0 3.915285-2 2.884032+0 3.848358-2 2.917427+0 3.784677-2 2.951209+0 3.722055-2 2.985383+0 3.660468-2 3.054921+0 3.540338-2 3.090295+0 3.481761-2 3.162278+0 3.367867-2 3.235937+0 3.257702-2 3.273407+0 3.203985-2 3.311311+0 3.151161-2 3.349654+0 3.100793-2 3.388442+0 3.051261-2 3.467369+0 2.954561-2 3.548134+0 2.860927-2 3.589219+0 2.815230-2 3.672823+0 2.726298-2 3.758374+0 2.640178-2 3.801894+0 2.598148-2 3.845918+0 2.556793-2 3.890451+0 2.517316-2 3.935501+0 2.478471-2 4.027170+0 2.402573-2 4.168694+0 2.293059-2 4.216965+0 2.257677-2 4.315191+0 2.188756-2 4.415704+0 2.121942-2 4.466836+0 2.089306-2 4.518559+0 2.057177-2 4.570882+0 2.026490-2 4.623810+0 1.996281-2 4.731513+0 1.937206-2 4.897788+0 1.851856-2 5.000000+0 1.802625-2 5.069907+0 1.770369-2 5.188000+0 1.718145-2 5.248075+0 1.692616-2 5.308844+0 1.667470-2 5.370318+0 1.642697-2 5.432503+0 1.618997-2 5.495409+0 1.595653-2 5.623413+0 1.549972-2 5.888437+0 1.462494-2 6.025596+0 1.420625-2 6.095369+0 1.400197-2 6.309573+0 1.340658-2 6.382635+0 1.321381-2 6.531306+0 1.283660-2 6.606934+0 1.265206-2 6.683439+0 1.247531-2 6.760830+0 1.230113-2 6.839116+0 1.212939-2 7.079458+0 1.162841-2 7.161434+0 1.146606-2 7.244360+0 1.130598-2 7.328245+0 1.114861-2 7.585776+0 1.068952-2 7.673615+0 1.054074-2 7.852356+0 1.024942-2 7.943282+0 1.010679-2 8.035261+0 9.970197-3 8.128305+0 9.835533-3 8.222427+0 9.702687-3 8.609938+0 9.189009-3 8.810489+0 8.942466-3 8.912509+0 8.821989-3 9.440609+0 8.243520-3 9.549926+0 8.132469-3 9.885531+0 7.808251-3 1.011579+1 7.599323-3 1.023293+1 7.499547-3 1.035142+1 7.401140-3 1.047129+1 7.304018-3 1.083927+1 7.020250-3 1.109175+1 6.837225-3 1.122018+1 6.747734-3 1.202264+1 6.234838-3 1.216186+1 6.153233-3 1.258925+1 5.914807-3 1.288250+1 5.761005-3 1.300000+1 5.701466-3 1.318257+1 5.613352-3 1.333521+1 5.541678-3 1.380384+1 5.332091-3 1.396368+1 5.264006-3 1.412538+1 5.196788-3 1.445440+1 5.065220-3 1.566751+1 4.630419-3 1.584893+1 4.571434-3 1.659587+1 4.342933-3 1.698244+1 4.233003-3 1.717908+1 4.179088-3 1.737801+1 4.127031-3 1.757924+1 4.075645-3 1.819701+1 3.925305-3 1.840772+1 3.876434-3 1.862087+1 3.828173-3 1.905461+1 3.733648-3 2.089296+1 3.378325-3 2.113489+1 3.336359-3 2.264644+1 3.095308-3 2.344229+1 2.981393-3 2.398833+1 2.907790-3 2.426610+1 2.872390-3 2.454709+1 2.837434-3 2.540973+1 2.735103-3 2.570396+1 2.701820-3 2.600160+1 2.669002-3 2.851018+1 2.420410-3 2.917427+1 2.361971-3 3.235937+1 2.115992-3 3.349654+1 2.039830-3 3.427678+1 1.990584-3 3.467369+1 1.966785-3 3.507519+1 1.943278-3 3.589219+1 1.897105-3 3.630781+1 1.874432-3 3.672823+1 1.852030-3 3.715352+1 1.829931-3 4.315191+1 1.565527-3 4.466836+1 1.510154-3 5.069907+1 1.323370-3 5.188000+1 1.291980-3 5.248075+1 1.276566-3 5.308844+1 1.261546-3 5.370318+1 1.246707-3 5.432503+1 1.232043-3 5.495409+1 1.217552-3 5.559043+1 1.203231-3 6.998420+1 9.499792-4 7.762471+1 8.541422-4 9.225714+1 7.154204-4 9.440609+1 6.987129-4 9.549926+1 6.905921-4 9.660509+1 6.825659-4 9.772372+1 6.746346-4 9.885531+1 6.668034-4 1.258925+2 5.218108-4 1.531087+2 4.278716-4 1.840772+2 3.549661-4 1.883649+2 3.467737-4 1.905461+2 3.427719-4 1.927525+2 3.388164-4 1.949845+2 3.349069-4 1.972423+2 3.310448-4 2.511886+2 2.594796-4 3.054921+2 2.130444-4 3.672823+2 1.769605-4 3.758374+2 1.729028-4 3.801894+2 1.709184-4 3.845918+2 1.689569-4 3.890451+2 1.670180-4 3.935501+2 1.651023-4 5.011872+2 1.295804-4 1.216186+3 5.330414-5 2.917427+3 2.218182-5 2.985383+3 2.167590-5 3.019952+3 2.142769-5 3.054921+3 2.118233-5 3.090295+3 2.093979-5 3.126079+3 2.070006-5 7.943282+3 8.145482-6 1.000000+5 6.468024-7 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.120000-6 6.120000-6 6.520000-6 6.120000-6 6.520000-6 6.398927-6 6.670000-6 6.413936-6 6.670000-6 6.492488-6 7.650000-6 6.546588-6 9.600000-6 6.574555-6 3.674000-5 6.566613-6 3.674000-5 1.085212-5 3.863000-5 1.096622-5 3.863000-5 1.155159-5 4.150000-5 1.165694-5 5.996000-5 1.207095-5 5.996000-5 1.287625-5 6.900000-5 1.353663-5 7.420000-5 1.383420-5 7.950000-5 1.403921-5 8.511380-5 1.414987-5 9.225714-5 1.417270-5 1.030000-4 1.406577-5 1.288250-4 1.369874-5 1.500000-4 1.349291-5 1.770000-4 1.333859-5 1.904900-4 1.328920-5 1.904900-4 1.728006-5 1.917000-4 1.727219-5 1.930900-4 1.737473-5 1.930900-4 1.899954-5 1.942000-4 1.912095-5 1.953000-4 1.935529-5 1.963000-4 1.966729-5 1.975000-4 2.016282-5 1.990000-4 2.092088-5 2.019200-4 2.249261-5 2.035000-4 2.323178-5 2.052000-4 2.388466-5 2.067000-4 2.434668-5 2.092000-4 2.492198-5 2.120000-4 2.537249-5 2.155000-4 2.576306-5 2.205000-4 2.612494-5 2.280000-4 2.642974-5 2.380000-4 2.662182-5 2.660725-4 2.683863-5 3.162278-4 2.694357-5 3.308800-4 2.695129-5 3.308800-4 2.819215-5 3.449300-4 2.831841-5 3.449300-4 2.884492-5 3.935501-4 2.925721-5 4.220600-4 2.943014-5 4.220600-4 3.048029-5 6.095369-4 3.181133-5 8.035261-4 3.289987-5 1.047129-3 3.396831-5 1.350000-3 3.500211-5 1.730000-3 3.600038-5 2.224800-3 3.698182-5 2.224800-3 5.681752-5 2.312200-3 5.687080-5 2.312200-3 5.935758-5 2.514600-3 5.944595-5 2.514600-3 6.293999-5 3.589219-3 6.423963-5 5.308844-3 6.583968-5 7.852356-3 6.756834-5 1.122018-2 6.922743-5 1.566751-2 7.079643-5 1.796200-2 7.142180-5 1.796200-2 7.861048-5 3.467369-2 7.911368-5 8.709636-2 7.948426-5 4.073803-1 7.970370-5 1.000000+5 7.974058-5 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.120000-6 0.0 3.674000-5 0.0 3.674000-5 5.15532-10 3.770000-5 5.23830-10 3.863000-5 5.29370-10 3.863000-5 6.14702-10 4.030000-5 6.23883-10 4.315191-5 6.33792-10 5.400000-5 6.63613-10 5.996000-5 6.81475-10 5.996000-5 6.99864-10 6.531306-5 7.18422-10 7.000000-5 7.29857-10 7.420000-5 7.35313-10 7.900000-5 7.36340-10 8.511380-5 7.31643-10 9.660509-5 7.14856-10 1.122018-4 6.91614-10 1.244515-4 6.77651-10 1.380384-4 6.66754-10 1.540000-4 6.58763-10 1.757924-4 6.53116-10 1.904900-4 6.51448-10 1.904900-4 8.33957-10 1.922000-4 8.34656-10 1.930900-4 8.38412-10 1.930900-4 1.028398-8 1.937000-4 1.017807-8 1.942000-4 1.009975-8 1.950000-4 1.003890-8 1.953000-4 1.002515-8 1.962000-4 1.006515-8 1.966500-4 1.012069-8 1.974000-4 1.027729-8 1.979500-4 1.044018-8 1.985000-4 1.064774-8 1.990000-4 1.087066-8 1.996000-4 1.118537-8 2.002000-4 1.154382-8 2.010000-4 1.207205-8 2.027000-4 1.334467-8 2.045000-4 1.476302-8 2.052000-4 1.529209-8 2.060000-4 1.586790-8 2.075000-4 1.683995-8 2.085000-4 1.740433-8 2.092000-4 1.778052-8 2.100000-4 1.816002-8 2.113489-4 1.871034-8 2.120000-4 1.896635-8 2.137962-4 1.953183-8 2.155000-4 1.999676-8 2.185000-4 2.066068-8 2.213095-4 2.115807-8 2.245000-4 2.161830-8 2.280000-4 2.201273-8 2.323000-4 2.238142-8 2.380000-4 2.270316-8 2.454709-4 2.295087-8 2.650000-4 2.331591-8 2.851018-4 2.354693-8 3.240000-4 2.373586-8 3.308800-4 2.375461-8 3.308800-4 2.492616-8 3.449300-4 2.507817-8 3.449300-4 2.673703-8 3.890451-4 2.736432-8 4.220600-4 2.772595-8 4.220600-4 2.918149-8 5.432503-4 3.061628-8 6.382635-4 3.159291-8 7.852356-4 3.288278-8 9.885531-4 3.430711-8 1.216186-3 3.559525-8 1.500000-3 3.687334-8 1.819701-3 3.802071-8 2.224800-3 3.916373-8 2.224800-3 4.482244-5 2.312200-3 4.485502-5 2.312200-3 5.168455-5 2.514600-3 5.175461-5 2.514600-3 5.303278-5 4.168694-3 5.316450-5 1.678804-2 5.249932-5 1.796200-2 5.246597-5 1.796200-2 1.003176-2 2.317395-2 1.013685-2 3.311311-2 1.023126-2 5.308844-2 1.030451-2 1.047129-1 1.035098-2 5.432503-1 1.037278-2 1.202264+1 1.038233-2 1.000000+5 1.038225-2 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.120000-6 0.0 6.520000-6 4.000000-7 6.520000-6 1.210727-7 6.670000-6 2.560639-7 6.670000-6 1.775122-7 6.800000-6 2.971919-7 7.000000-6 4.833984-7 7.200000-6 6.720753-7 7.420000-6 8.818909-7 7.852356-6 1.299757-6 8.609938-6 2.043152-6 1.060000-5 4.022588-6 3.674000-5 3.017339-5 3.674000-5 2.588736-5 3.863000-5 2.766325-5 3.863000-5 2.707780-5 4.677351-5 3.500045-5 5.996000-5 4.788837-5 5.996000-5 4.708305-5 7.420000-5 6.036506-5 8.650000-5 7.233566-5 1.161449-4 1.022755-4 1.904900-4 1.772001-4 1.904900-4 1.732091-4 1.930900-4 1.757144-4 1.930900-4 1.740802-4 1.969000-4 1.769902-4 2.050000-4 1.811688-4 2.115000-4 1.861773-4 2.264644-4 2.000597-4 3.240000-4 2.970270-4 3.308800-4 3.039050-4 3.308800-4 3.026629-4 3.449300-4 3.165865-4 3.449300-4 3.160584-4 4.220600-4 3.926021-4 4.220600-4 3.915505-4 1.621810-3 1.586028-3 2.224800-3 2.187779-3 2.224800-3 2.123160-3 2.312200-3 2.210474-3 2.312200-3 2.201158-3 2.514600-3 2.403399-3 2.514600-3 2.398627-3 1.796200-2 1.783811-2 1.796200-2 7.851632-3 2.264644-2 1.243764-2 3.758374-2 2.724941-2 2.454709-1 2.350234-1 1.000000+5 9.999999+4 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.796200-2 1.219054+4 1.828000-2 1.170640+4 1.870000-2 1.101240+4 1.930000-2 1.019078+4 2.041738-2 8.790802+3 2.264644-2 6.745671+3 2.691535-2 4.269893+3 3.349654-2 2.360639+3 3.890451-2 1.560607+3 4.500000-2 1.039078+3 5.500000-2 5.879020+2 6.760830-2 3.245413+2 8.511380-2 1.659145+2 1.148154-1 6.873344+1 1.862087-1 1.646726+1 2.290868-1 8.982904+0 2.691535-1 5.646349+0 3.126079-1 3.693697+0 3.548134-1 2.597216+0 4.000000-1 1.874170+0 4.466836-1 1.397802+0 4.954502-1 1.068510+0 5.495409-1 8.224973-1 6.095369-1 6.378564-1 6.683439-1 5.122777-1 7.244360-1 4.253193-1 8.035261-1 3.376756-1 9.120108-1 2.570798-1 9.885531-1 2.173271-1 1.122018+0 1.686871-1 1.244515+0 1.380165-1 1.380384+0 1.137442-1 1.548817+0 9.244987-2 1.737801+0 7.569460-2 1.949845+0 6.241955-2 2.213095+0 5.088171-2 2.511886+0 4.178031-2 2.884032+0 3.395815-2 3.311311+0 2.780567-2 3.845918+0 2.256099-2 4.518559+0 1.815247-2 5.370318+0 1.449517-2 6.606934+0 1.116418-2 7.943282+0 8.918154-3 1.011579+1 6.705628-3 1.300000+1 5.031000-3 1.717908+1 3.687657-3 2.398833+1 2.565840-3 3.427678+1 1.756547-3 5.248075+1 1.126486-3 9.440609+1 6.165825-4 1.883649+2 3.060157-4 3.758374+2 1.525820-4 2.985383+3 1.912825-5 1.000000+5 5.707900-7 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.796200-2 7.985400-5 1.000000+5 7.985400-5 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.796200-2 1.175800-2 1.000000+5 1.175800-2 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.796200-2 6.124146-3 1.000000+5 9.999999+4 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.514600-3 5.244240+4 2.722701-3 4.632224+4 3.019952-3 3.927142+4 3.273407-3 3.417771+4 4.073803-3 2.331174+4 4.415704-3 2.009057+4 5.308844-3 1.416487+4 5.956621-3 1.127722+4 6.839116-3 8.527267+3 7.852356-3 6.386040+3 8.810489-3 4.991738+3 1.035142-2 3.502841+3 1.202264-2 2.497865+3 1.364583-2 1.864213+3 1.566751-2 1.346049+3 1.819701-2 9.386744+2 2.137962-2 6.312746+2 2.500000-2 4.260760+2 2.917427-2 2.868924+2 3.427678-2 1.884360+2 4.073803-2 1.191239+2 4.841724-2 7.470221+1 5.821032-2 4.504422+1 7.079458-2 2.609434+1 8.709636-2 1.452036+1 1.109175-1 7.265792+0 2.041738-1 1.247250+0 2.483133-1 7.117987-1 2.917427-1 4.515737-1 3.349654-1 3.078013-1 3.801894-1 2.180695-1 4.265795-1 1.604666-1 4.786301-1 1.189293-1 5.308844-1 9.145519-2 5.888437-1 7.082932-2 6.531306-1 5.527129-2 7.161434-1 4.467734-2 7.943282-1 3.543163-2 8.912509-1 2.761201-2 9.660509-1 2.329621-2 1.071519+0 1.889766-2 1.188600+0 1.541008-2 1.318257+0 1.266302-2 1.462177+0 1.047471-2 1.640590+0 8.545470-3 1.840772+0 7.022135-3 2.089296+0 5.703182-3 2.371374+0 4.667613-3 2.691535+0 3.847179-3 3.090295+0 3.138908-3 3.589219+0 2.538010-3 4.216965+0 2.035363-3 5.000000+0 1.625000-3 6.025596+0 1.280618-3 7.244360+0 1.019234-3 8.810489+0 8.061255-4 1.109175+1 6.163739-4 1.412538+1 4.685380-4 1.862087+1 3.451551-4 2.570396+1 2.436864-4 3.672823+1 1.670225-4 5.559043+1 1.085309-4 9.772372+1 6.086035-5 1.949845+2 3.021510-5 3.890451+2 1.506772-5 3.090295+3 1.889378-6 1.000000+5 5.835900-8 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.514600-3 8.698000-5 1.000000+5 8.698000-5 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.514600-3 6.182700-5 1.000000+5 6.182700-5 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.514600-3 2.365793-3 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.312200-3 1.230785+5 2.403000-3 1.119000+5 2.440000-3 1.084500+5 2.600160-3 9.289200+4 2.770000-3 7.893900+4 3.300000-3 4.950600+4 3.715352-3 3.593400+4 4.027170-3 2.877000+4 4.677351-3 1.890200+4 5.370318-3 1.268100+4 6.025596-3 9.057100+3 7.244360-3 5.222800+3 8.317638-3 3.427800+3 9.500000-3 2.273500+3 1.122018-2 1.348200+3 1.333521-2 7.767600+2 1.584893-2 4.436600+2 1.905461-2 2.419800+2 2.264644-2 1.360400+2 2.722701-2 7.307700+1 3.349654-2 3.603300+1 4.216965-2 1.628900+1 5.623413-2 5.985000+0 9.885531-2 8.339300-1 1.244515-1 3.753600-1 1.500000-1 1.978200-1 1.757924-1 1.155400-1 2.299100-1 4.697300-2 2.511886-1 3.513400-2 2.691535-1 2.818100-2 2.884032-1 2.275800-2 3.000060-1 2.019840-2 3.349654-1 1.433249-2 3.758374-1 1.009141-2 4.168694-1 7.410400-3 4.623810-1 5.479642-3 5.128614-1 4.082043-3 5.623413-1 3.163143-3 6.165950-1 2.468201-3 6.760830-1 1.940405-3 7.413102-1 1.535640-3 8.609938-1 1.060160-3 9.225714-1 8.992520-4 9.772372-1 7.888171-4 1.035142+0 6.965006-4 1.109175+0 6.037474-4 1.188600+0 5.269874-4 1.318257+0 4.350967-4 1.479108+0 3.543190-4 1.717908+0 2.728808-4 1.927525+0 2.247438-4 2.162719+0 1.864649-4 2.454709+0 1.529222-4 2.818383+0 1.241281-4 3.235937+0 1.015176-4 3.758374+0 8.227629-5 4.415704+0 6.612597-5 5.188000+0 5.353419-5 6.309573+0 4.176931-5 7.585776+0 3.330502-5 9.440609+0 2.568087-5 1.202264+1 1.942225-5 1.566751+1 1.442414-5 2.089296+1 1.052357-5 2.851018+1 7.539259-6 4.315191+1 4.876431-6 6.998420+1 2.959150-6 1.258925+2 1.625657-6 2.511886+2 8.087084-7 5.011872+2 4.037278-7 7.943282+3 2.539088-8 1.000000+5 2.016600-9 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.312200-3 6.582600-5 1.000000+5 6.582600-5 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.312200-3 6.944900-5 1.000000+5 6.944900-5 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.312200-3 2.176925-3 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 2.224800-3 2.582588+5 2.454709-3 2.032426+5 2.570396-3 1.807796+5 2.786121-3 1.458014+5 3.400000-3 8.484400+4 3.801894-3 6.227592+4 4.518559-3 3.810038+4 5.128614-3 2.630167+4 5.821032-3 1.807919+4 6.918310-3 1.071733+4 7.852356-3 7.254599+3 9.015711-3 4.710186+3 1.059254-2 2.821744+3 1.244515-2 1.676060+3 1.462177-2 9.874715+2 1.737801-2 5.554285+2 2.065380-2 3.098293+2 2.426610-2 1.784432+2 2.884032-2 9.812812+1 3.467369-2 5.148135+1 4.216965-2 2.575722+1 5.370318-2 1.085921+1 1.109175-1 7.956878-1 1.348963-1 3.952722-1 1.640590-1 1.979115-1 1.883649-1 1.222555-1 2.137962-1 7.913470-2 2.426610-1 5.160061-2 2.722701-1 3.524367-2 3.019952-1 2.518196-2 3.349654-1 1.812542-2 3.672823-1 1.362255-2 4.027170-1 1.030829-2 4.415705-1 7.858699-3 4.841724-1 6.035976-3 5.248075-1 4.822460-3 5.754399-1 3.759149-3 6.309573-1 2.953264-3 6.918310-1 2.337761-3 7.498942-1 1.917779-3 8.128305-1 1.583169-3 8.912509-1 1.280364-3 9.549926-1 1.098871-3 1.023293+0 9.501386-4 1.122018+0 7.884960-4 1.216186+0 6.741361-4 1.348963+0 5.557986-4 1.513561+0 4.520623-4 1.717908+0 3.624762-4 1.927525+0 2.986150-4 2.187762+0 2.432062-4 2.483133+0 1.995713-4 2.851018+0 1.621122-4 3.273407+0 1.326673-4 3.801894+0 1.075827-4 4.466836+0 8.651109-5 5.248075+0 7.007300-5 6.382635+0 5.469849-5 7.673615+0 4.363434-5 9.549926+0 3.365992-5 1.216186+1 2.546662-5 1.584893+1 1.891994-5 2.113489+1 1.380727-5 2.917427+1 9.774026-6 4.466836+1 6.249273-6 7.762471+1 3.534588-6 1.531087+2 1.771230-6 3.054921+2 8.821405-7 1.216186+3 2.206103-7 1.000000+5 2.679100-9 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 2.224800-3 6.401000-5 1.000000+5 6.401000-5 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.224800-3 6.106100-5 1.000000+5 6.106100-5 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.224800-3 2.099729-3 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 4.220600-4 1.595758+5 4.750000-4 1.410682+5 5.370318-4 1.236272+5 6.025596-4 1.086154+5 7.300000-4 8.498120+4 7.852356-4 7.692954+4 9.225714-4 6.097892+4 1.023293-3 5.219831+4 1.202264-3 4.053906+4 1.350000-3 3.358540+4 1.584893-3 2.567517+4 1.862087-3 1.941707+4 2.162719-3 1.486556+4 2.500000-3 1.140320+4 2.917427-3 8.536416+3 3.427678-3 6.262317+3 4.027170-3 4.558709+3 4.731513-3 3.292832+3 5.500000-3 2.413340+3 6.382635-3 1.763221+3 7.500000-3 1.245644+3 8.810489-3 8.738169+2 1.035142-2 6.081817+2 1.216186-2 4.200430+2 1.428894-2 2.878214+2 1.678804-2 1.956696+2 1.972423-2 1.319814+2 2.317395-2 8.832060+1 2.722701-2 5.865426+1 3.198895-2 3.866677+1 3.758374-2 2.530937+1 4.466836-2 1.594931+1 5.308844-2 9.975796+0 6.382635-2 6.001153+0 7.762471-2 3.470141+0 9.660509-2 1.865823+0 1.273503-1 8.443236-1 2.041738-1 2.165863-1 2.483133-1 1.237720-1 2.917427-1 7.858943-2 3.388442-1 5.191638-2 3.845918-1 3.681305-2 4.315191-1 2.711522-2 4.841724-1 2.011916-2 5.370318-1 1.548891-2 5.956621-1 1.200926-2 6.606935-1 9.382788-3 7.328245-1 7.387738-3 8.128305-1 5.862208-3 8.912509-1 4.803128-3 9.772372-1 3.964834-3 1.122018+0 3.008472-3 1.244515+0 2.461619-3 1.380384+0 2.028095-3 1.531087+0 1.681802-3 1.717908+0 1.376188-3 1.949845+0 1.112718-3 2.213095+0 9.067226-4 2.511886+0 7.445101-4 2.884032+0 6.052356-4 3.349654+0 4.875883-4 3.890451+0 3.958496-4 4.570882+0 3.186552-4 5.432503+0 2.545821-4 6.683439+0 1.961749-4 8.035261+0 1.567827-4 1.023293+1 1.179337-4 1.318257+1 8.827382-5 1.737801+1 6.490326-5 2.426610+1 4.517385-5 3.467369+1 3.093172-5 5.308844+1 1.984122-5 9.660509+1 1.073511-5 1.927525+2 5.329094-6 3.845918+2 2.657367-6 3.054921+3 3.331936-7 1.000000+5 1.017400-8 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 4.220600-4 5.366300-5 1.000000+5 5.366300-5 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.220600-4 6.131300-8 1.000000+5 6.131300-8 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.220600-4 3.683357-4 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 3.449300-4 1.879308+5 3.510000-4 1.897031+5 3.630781-4 1.919726+5 3.758374-4 1.927188+5 3.890451-4 1.925040+5 4.120975-4 1.898514+5 4.570882-4 1.824239+5 4.786301-4 1.779482+5 5.069907-4 1.712523+5 5.432503-4 1.621294+5 5.900000-4 1.502498+5 6.237348-4 1.418517+5 6.683439-4 1.309732+5 7.300000-4 1.173260+5 7.852356-4 1.063957+5 8.511380-4 9.468234+4 9.332543-4 8.224869+4 1.011579-3 7.223858+4 1.110000-3 6.171160+4 1.216186-3 5.252857+4 1.333521-3 4.431959+4 1.479108-3 3.634279+4 1.621810-3 3.025640+4 1.800000-3 2.441860+4 1.995262-3 1.960872+4 2.220000-3 1.551346+4 2.500000-3 1.185000+4 2.786121-3 9.200257+3 3.126079-3 6.979420+3 3.507519-3 5.254951+3 3.935501-3 3.927516+3 4.415704-3 2.915024+3 4.954502-3 2.148916+3 5.559043-3 1.573841+3 6.309573-3 1.109178+3 7.161434-3 7.760510+2 8.128305-3 5.391902+2 9.225714-3 3.721051+2 1.059254-2 2.464333+2 1.216186-2 1.619576+2 1.396368-2 1.056739+2 1.621810-2 6.602375+1 1.883649-2 4.093860+1 2.213095-2 2.427579+1 2.600160-2 1.428823+1 3.090295-2 8.038099+0 3.758374-2 4.154833+0 4.677351-2 1.970690+0 6.165950-2 7.612086-1 1.071519-1 1.123898-1 1.333521-1 5.306597-2 1.603245-1 2.841358-2 1.883649-1 1.656867-2 2.187762-1 1.011217-2 2.511886-1 6.457123-3 2.851018-1 4.311662-3 3.198895-1 3.007678-3 3.589219-1 2.113440-3 4.000000-1 1.527097-3 4.466836-1 1.105270-3 4.954502-1 8.220455-4 5.495409-1 6.159908-4 6.025596-1 4.798372-4 6.606935-1 3.764369-4 7.244360-1 2.972966-4 8.413951-1 2.048302-4 9.015711-1 1.733302-4 9.549926-1 1.516772-4 1.011579+0 1.335847-4 1.083927+0 1.155450-4 1.161449+0 1.006219-4 1.244515+0 8.829828-5 1.380384+0 7.312079-5 1.659587+0 5.288458-5 1.883649+0 4.263868-5 2.113489+0 3.532160-5 2.398833+0 2.892820-5 2.754229+0 2.345063-5 3.162278+0 1.915589-5 3.672823+0 1.550695-5 4.315191+0 1.244975-5 5.069907+0 1.006913-5 6.095369+0 7.963304-6 7.328245+0 6.340580-6 8.912509+0 5.017121-6 1.122018+1 3.837583-6 1.445440+1 2.880808-6 1.905461+1 2.123486-6 2.600160+1 1.518600-6 3.715352+1 1.041107-6 5.559043+1 6.847230-7 9.885531+1 3.794825-7 1.972423+2 1.884230-7 3.935501+2 9.396480-8 3.126079+3 1.178317-8 1.000000+5 3.68180-10 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 3.449300-4 4.148400-5 1.000000+5 4.148400-5 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.449300-4 6.655900-8 1.000000+5 6.655900-8 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.449300-4 3.033794-4 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 3.308800-4 4.046964+5 3.350000-4 4.130496+5 3.480000-4 4.290288+5 3.630781-4 4.410165+5 3.715352-4 4.433891+5 3.801894-4 4.431503+5 3.935501-4 4.384358+5 4.430000-4 4.110720+5 4.623810-4 3.993254+5 4.897788-4 3.816270+5 5.248075-4 3.585638+5 5.623413-4 3.344944+5 5.956621-4 3.140854+5 6.382635-4 2.888259+5 7.000000-4 2.559388+5 7.500000-4 2.325156+5 8.035261-4 2.099222+5 8.810489-4 1.817231+5 9.660509-4 1.562297+5 1.059254-3 1.331949+5 1.161449-3 1.128510+5 1.273503-3 9.494667+4 1.412538-3 7.761729+4 1.548817-3 6.445191+4 1.730000-3 5.117520+4 1.927525-3 4.051034+4 2.137962-3 3.216448+4 2.400000-3 2.466552+4 2.660725-3 1.933155+4 2.951209-3 1.504397+4 3.349654-3 1.098016+4 3.801894-3 7.942710+3 4.315191-3 5.696281+3 4.841724-3 4.180024+3 5.432503-3 3.047249+3 6.095369-3 2.207207+3 6.918310-3 1.537122+3 7.943282-3 1.027340+3 9.120108-3 6.809076+2 1.035142-2 4.636688+2 1.188502-2 3.026237+2 1.364583-2 1.960856+2 1.566751-2 1.261246+2 1.819701-2 7.756151+1 2.113489-2 4.733244+1 2.483133-2 2.758696+1 2.917427-2 1.595752+1 3.467369-2 8.809357+0 4.168694-2 4.638870+0 5.128614-2 2.236703+0 6.606934-2 9.091207-1 1.188502-1 1.114566-1 1.445440-1 5.567586-2 1.698244-1 3.164133-2 1.949845-1 1.962253-2 2.213095-1 1.274576-2 2.483133-1 8.666430-3 2.786121-1 5.935418-3 3.090295-1 4.251311-3 3.427678-1 3.067393-3 3.758374-1 2.310397-3 4.120975-1 1.752300-3 4.518559-1 1.338887-3 4.954502-1 1.030772-3 5.432503-1 7.999715-4 5.956621-1 6.257684-4 6.531306-1 4.933123-4 7.079458-1 4.032408-4 7.673615-1 3.316511-4 8.511380-1 2.599693-4 9.120108-1 2.223693-4 9.772372-1 1.914418-4 1.059254+0 1.621099-4 1.161449+0 1.349647-4 1.273503+0 1.131526-4 1.412538+0 9.357051-5 1.640590+0 7.183458-5 1.840772+0 5.901766-5 2.065380+0 4.882756-5 2.344229+0 3.993679-5 2.660725+0 3.289608-5 3.054921+0 2.682206-5 3.548134+0 2.167414-5 4.168694+0 1.737183-5 4.897788+0 1.402816-5 5.888437+0 1.107876-5 7.079458+0 8.809355-6 8.609938+0 6.961312-6 1.083927+1 5.318890-6 1.396368+1 3.988494-6 1.840772+1 2.937305-6 2.540973+1 2.073126-6 3.589219+1 1.437956-6 5.432503+1 9.339628-7 9.660509+1 5.174849-7 1.927525+2 2.568899-7 3.845918+2 1.280987-7 3.054921+3 1.606114-8 1.000000+5 4.90430-10 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 3.308800-4 4.144000-5 1.000000+5 4.144000-5 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.308800-4 3.743400-8 1.000000+5 3.743400-8 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.308800-4 2.894026-4 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.930900-4 1.310304+5 1.935000-4 1.301320+5 1.942000-4 1.295052+5 1.948000-4 1.299940+5 1.953000-4 1.311676+5 1.957000-4 1.327140+5 1.962000-4 1.354148+5 1.966500-4 1.386644+5 1.970000-4 1.417856+5 1.974000-4 1.460424+5 1.979500-4 1.531792+5 1.985000-4 1.619092+5 1.990000-4 1.713336+5 1.996000-4 1.846372+5 2.002000-4 2.002232+5 2.010000-4 2.246844+5 2.035000-4 3.272824+5 2.045000-4 3.777132+5 2.052000-4 4.153040+5 2.060000-4 4.599280+5 2.067000-4 4.999920+5 2.075000-4 5.463720+5 2.083000-4 5.930480+5 2.092000-4 6.454000+5 2.100000-4 6.914920+5 2.110000-4 7.483240+5 2.120000-4 8.040600+5 2.131000-4 8.640720+5 2.143500-4 9.305260+5 2.155000-4 9.900440+5 2.170000-4 1.065260+6 2.185000-4 1.137596+6 2.198000-4 1.197692+6 2.213095-4 1.264306+6 2.230000-4 1.334180+6 2.245000-4 1.391620+6 2.264644-4 1.460207+6 2.280000-4 1.508188+6 2.300000-4 1.563632+6 2.323000-4 1.617584+6 2.350000-4 1.669244+6 2.380000-4 1.714372+6 2.415000-4 1.754716+6 2.454709-4 1.789347+6 2.511886-4 1.826003+6 2.580000-4 1.856412+6 2.650000-4 1.874248+6 2.722701-4 1.877733+6 2.800000-4 1.865712+6 2.884032-4 1.838509+6 3.000000-4 1.787596+6 3.126079-4 1.723432+6 3.240000-4 1.660520+6 3.350000-4 1.595576+6 3.470000-4 1.521676+6 3.672823-4 1.397163+6 3.850000-4 1.292776+6 4.100000-4 1.156196+6 4.315191-4 1.049371+6 4.570882-4 9.339957+5 4.897788-4 8.057563+5 5.248075-4 6.908334+5 5.623413-4 5.881477+5 6.095369-4 4.837751+5 6.683439-4 3.842226+5 7.300000-4 3.055828+5 8.128305-4 2.293819+5 8.912509-4 1.780281+5 9.885531-4 1.329502+5 1.096478-3 9.847806+4 1.216186-3 7.244533+4 1.364583-3 5.106116+4 1.513561-3 3.700450+4 1.698244-3 2.568449+4 1.927525-3 1.703746+4 2.187762-3 1.120141+4 2.454709-3 7.593987+3 2.754229-3 5.112711+3 3.090295-3 3.418481+3 3.467369-3 2.270021+3 3.890451-3 1.497314+3 4.415704-3 9.404121+2 5.069907-3 5.613180+2 5.792850-3 3.383808+2 6.531306-3 2.132660+2 7.585776-3 1.189079+2 8.609938-3 7.202827+1 1.000000-2 3.951940+1 1.148154-2 2.253250+1 1.333521-2 1.216385+1 1.548817-2 6.518492+0 1.840772-2 3.148295+0 2.238721-2 1.368496+0 2.818383-2 5.090970-1 3.758374-2 1.466421-1 6.456542-2 1.394359-2 8.128305-2 5.157189-3 9.772372-2 2.343552-3 1.148154-1 1.183235-3 1.333521-1 6.317368-4 1.531088-1 3.565166-4 1.737801-1 2.124773-4 1.949845-1 1.336230-4 2.187762-1 8.467057-5 2.454709-1 5.407074-5 2.722701-1 3.636073-5 3.054921-1 2.357887-5 3.388442-1 1.607817-5 3.715352-1 1.151582-5 4.073803-1 8.303471-6 4.466836-1 6.030135-6 4.897788-1 4.413182-6 5.308844-1 3.382549-6 5.821032-1 2.515078-6 6.456542-1 1.815998-6 6.998420-1 1.418472-6 7.585776-1 1.115226-6 8.511380-1 7.967518-7 9.015711-1 6.778078-7 9.440609-1 5.992750-7 9.885531-1 5.333634-7 1.035142+0 4.783408-7 1.083927+0 4.323039-7 1.135011+0 3.932329-7 1.202264+0 3.518137-7 1.288250+0 3.101494-7 1.412538+0 2.644320-7 1.531087+0 2.306972-7 1.798871+0 1.746274-7 2.000000+0 1.462800-7 2.264644+0 1.198571-7 2.570396+0 9.854239-8 2.951209+0 8.019983-8 3.388442+0 6.574848-8 3.935501+0 5.340821-8 4.623810+0 4.301570-8 5.495409+0 3.438449-8 6.760830+0 2.650677-8 8.128305+0 2.119495-8 1.035142+1 1.595012-8 1.318257+1 1.209912-8 1.737801+1 8.895691-9 2.426610+1 6.191588-9 3.467369+1 4.239566-9 5.308844+1 2.719470-9 9.549926+1 1.488719-9 1.905461+2 7.38960-10 3.801894+2 3.68459-10 3.019952+3 4.61960-11 1.000000+5 1.39440-12 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.930900-4 2.777300-5 1.000000+5 2.777300-5 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.930900-4 6.128700-8 1.000000+5 6.128700-8 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.930900-4 1.652557-4 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.904900-4 1.927140+5 1.911000-4 1.913814+5 1.917000-4 1.913106+5 1.922000-4 1.923558+5 1.927525-4 1.947128+5 1.933000-4 1.985598+5 1.937000-4 2.024004+5 1.942000-4 2.085378+5 1.946500-4 2.154792+5 1.951500-4 2.249106+5 1.957000-4 2.375640+5 1.963000-4 2.543160+5 1.969000-4 2.743614+5 1.975000-4 2.978802+5 1.983000-4 3.348462+5 2.010000-4 5.054364+5 2.019200-4 5.771663+5 2.027000-4 6.417600+5 2.035000-4 7.105980+5 2.043000-4 7.811400+5 2.050000-4 8.436120+5 2.058000-4 9.152280+5 2.067000-4 9.954780+5 2.075000-4 1.066110+6 2.085000-4 1.153086+6 2.095000-4 1.238370+6 2.105000-4 1.321866+6 2.115000-4 1.403520+6 2.129600-4 1.519444+6 2.142000-4 1.614756+6 2.155000-4 1.711428+6 2.170000-4 1.818510+6 2.187762-4 1.938432+6 2.205000-4 2.046840+6 2.220000-4 2.134134+6 2.240000-4 2.239722+6 2.260000-4 2.332584+6 2.280000-4 2.412954+6 2.300000-4 2.481618+6 2.323000-4 2.547576+6 2.350000-4 2.610042+6 2.380000-4 2.664540+6 2.415000-4 2.713734+6 2.454709-4 2.756788+6 2.520000-4 2.808444+6 2.580000-4 2.839584+6 2.650000-4 2.856264+6 2.722701-4 2.850740+6 2.800000-4 2.822652+6 2.884032-4 2.773854+6 3.000000-4 2.689626+6 3.126079-4 2.587255+6 3.240000-4 2.487714+6 3.350000-4 2.385972+6 3.500000-4 2.242566+6 3.672823-4 2.081167+6 3.850000-4 1.921944+6 4.100000-4 1.715064+6 4.350000-4 1.529790+6 4.623810-4 1.348664+6 4.954502-4 1.160154+6 5.308844-4 9.920535+5 5.688529-4 8.428616+5 6.237348-4 6.720992+5 6.760830-4 5.477710+5 7.413102-4 4.303927+5 8.200000-4 3.279156+5 9.015711-4 2.521418+5 1.000000-3 1.878060+5 1.110000-3 1.385328+5 1.230269-3 1.018691+5 1.364583-3 7.422994+4 1.531087-3 5.180031+4 1.717908-3 3.585788+4 1.905461-3 2.558824+4 2.150000-3 1.714146+4 2.426610-3 1.138117+4 2.754229-3 7.352180+3 3.126079-3 4.709673+3 3.548134-3 2.991595+3 4.000000-3 1.932192+3 4.466836-3 1.283759+3 5.011872-3 8.329486+2 5.623413-3 5.372639+2 6.382635-3 3.294815+2 7.244360-3 2.007271+2 8.317638-3 1.160053+2 9.440609-3 6.971232+1 1.083927-2 3.969368+1 1.244515-2 2.244066+1 1.445440-2 1.200595+1 1.678804-2 6.373820+0 2.000000-2 3.014376+0 2.426610-2 1.308078+0 3.054921-2 4.798789-1 4.027170-2 1.428442-1 7.413102-2 9.718986-3 9.885531-2 2.760862-3 1.135011-1 1.520495-3 1.288250-1 8.860848-4 1.462177-1 5.200777-4 1.659587-1 3.075057-4 1.840772-1 2.013724-4 2.041738-1 1.327699-4 2.264644-1 8.819902-5 2.483133-1 6.173072-5 2.722701-1 4.350059-5 2.985383-1 3.087744-5 3.235937-1 2.303520-5 3.507519-1 1.730412-5 3.801894-1 1.309511-5 4.027170-1 1.078507-5 4.365158-1 8.292407-6 4.786301-1 6.187922-6 5.432503-1 4.167838-6 5.888437-1 3.264116-6 6.165950-1 2.852515-6 6.606935-1 2.346102-6 7.161434-1 1.882590-6 8.128305-1 1.342989-6 8.709636-1 1.125004-6 9.225714-1 9.768455-7 9.772372-1 8.540940-7 1.035142+0 7.525828-7 1.109175+0 6.515338-7 1.188600+0 5.683900-7 1.288250+0 4.893380-7 1.428894+0 4.068344-7 1.737801+0 2.894702-7 1.949845+0 2.385153-7 2.213095+0 1.944296-7 2.511886+0 1.596523-7 2.884032+0 1.297555-7 3.311311+0 1.062464-7 3.845918+0 8.620712-8 4.518559+0 6.935894-8 5.308844+0 5.620755-8 6.531306+0 4.327038-8 7.852356+0 3.455062-8 9.885531+0 2.631772-8 1.258925+1 1.993438-8 1.659587+1 1.463729-8 2.264644+1 1.043122-8 3.235937+1 7.131141-9 5.069907+1 4.460581-9 9.225714+1 2.411904-9 1.840772+2 1.196811-9 3.672823+2 5.96646-10 2.917427+3 7.47918-11 1.000000+5 2.18100-12 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.904900-4 2.797600-5 1.000000+5 2.797600-5 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.904900-4 1.323100-9 1.000000+5 1.323100-9 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.904900-4 1.625127-4 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 5.996000-5 1.824930+5 6.165950-5 1.847048+5 7.413102-5 2.041295+5 7.900000-5 2.101300+5 8.317638-5 2.137432+5 8.709636-5 2.156717+5 9.120108-5 2.161464+5 9.566300-5 2.150190+5 1.000000-4 2.125340+5 1.047129-4 2.086647+5 1.109175-4 2.023882+5 1.190000-4 1.933208+5 1.288250-4 1.821760+5 1.412538-4 1.687629+5 1.531087-4 1.567477+5 1.659587-4 1.444653+5 1.800000-4 1.320632+5 2.000000-4 1.165818+5 2.264644-4 9.986450+4 2.511886-4 8.717151+4 2.818383-4 7.435363+4 3.311311-4 5.901181+4 3.758374-4 4.888075+4 4.570882-4 3.618401+4 5.432503-4 2.752660+4 6.606934-4 2.005009+4 8.222426-4 1.395185+4 1.023293-3 9.629577+3 1.244515-3 6.860598+3 1.500000-3 4.928660+3 1.778279-3 3.621050+3 2.113489-3 2.629799+3 2.532000-3 1.867394+3 3.019952-3 1.327304+3 3.589219-3 9.434282+2 4.265795-3 6.658022+2 5.069907-3 4.664137+2 6.000000-3 3.271520+2 7.079458-3 2.291611+2 8.317638-3 1.608450+2 9.772372-3 1.120789+2 1.148154-2 7.753194+1 1.348963-2 5.323762+1 1.584893-2 3.627625+1 1.862087-2 2.452676+1 2.187762-2 1.645700+1 2.570396-2 1.096242+1 3.019952-2 7.248902+0 3.548134-2 4.757118+0 4.216965-2 3.006195+0 5.011872-2 1.885552+0 6.025596-2 1.136667+0 7.328245-2 6.587859-1 9.120108-2 3.552903-1 1.083927-1 2.169738-1 2.089296-1 3.277991-2 2.540973-1 1.875176-2 3.000000-1 1.175900-2 3.467369-1 7.884724-3 3.935501-1 5.598664-3 4.415705-1 4.129872-3 4.954502-1 3.069255-3 5.495409-1 2.366542-3 6.095369-1 1.837875-3 6.760830-1 1.438427-3 7.498942-1 1.134596-3 8.317638-1 9.017775-4 9.120108-1 7.402059-4 9.885531-1 6.266526-4 1.135011+0 4.758690-4 1.258925+0 3.896656-4 1.396368+0 3.212723-4 1.566751+0 2.612299-4 1.757924+0 2.140321-4 1.972423+0 1.766330-4 2.238721+0 1.440971-4 2.540973+0 1.183961-4 2.917427+0 9.628513-5 3.349654+0 7.888686-5 3.890451+0 6.404444-5 4.570882+0 5.155555-5 5.432503+0 4.118958-5 6.683439+0 3.173866-5 8.035261+0 2.536618-5 1.023293+1 1.908057-5 1.318257+1 1.428151-5 1.757924+1 1.036860-5 2.454709+1 7.219337-6 3.507519+1 4.944346-6 5.370318+1 3.172261-6 9.549926+1 1.757319-6 1.905461+2 8.722839-7 3.801894+2 4.349382-7 3.019952+3 5.453056-8 1.000000+5 1.646000-9 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 5.996000-5 1.947500-5 1.000000+5 1.947500-5 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 5.996000-5 8.50550-10 1.000000+5 8.50550-10 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 5.996000-5 4.048415-5 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 3.863000-5 2.516420+6 3.900000-5 2.481460+6 3.960000-5 2.409660+6 4.030000-5 2.310060+6 4.120975-5 2.169438+6 4.216965-5 2.017986+6 4.315191-5 1.865685+6 4.450000-5 1.668428+6 4.598600-5 1.469572+6 4.786301-5 1.248901+6 5.011872-5 1.027546+6 5.754399-5 5.639273+5 6.025596-5 4.644184+5 6.300000-5 3.876680+5 6.531306-5 3.370829+5 6.760830-5 2.966873+5 7.000000-5 2.627220+5 7.244360-5 2.347424+5 7.500000-5 2.111960+5 7.737400-5 1.934899+5 7.943282-5 1.807563+5 8.150000-5 1.699916+5 8.413951-5 1.586665+5 8.650000-5 1.504162+5 8.912509-5 1.429171+5 9.225714-5 1.358054+5 9.549926-5 1.300737+5 9.900000-5 1.252876+5 1.023293-4 1.217428+5 1.071519-4 1.178381+5 1.135011-4 1.141162+5 1.230269-4 1.101205+5 1.500000-4 1.018210+5 1.650000-4 9.735360+4 1.800000-4 9.275180+4 1.950000-4 8.813400+4 2.137962-4 8.248925+4 2.317395-4 7.733850+4 2.511886-4 7.202628+4 2.754229-4 6.590495+4 3.054921-4 5.914417+4 3.350000-4 5.336240+4 3.715352-4 4.715663+4 4.120975-4 4.134560+4 4.570882-4 3.601920+4 5.069907-4 3.115995+4 5.754399-4 2.588075+4 6.500000-4 2.146520+4 7.413102-4 1.738242+4 8.317638-4 1.434065+4 9.332543-4 1.174910+4 1.040000-3 9.676600+3 1.161449-3 7.887663+3 1.303167-3 6.326726+3 1.462177-3 5.037777+3 1.640590-3 3.980377+3 1.840772-3 3.120996+3 2.065380-3 2.428792+3 2.317395-3 1.875965+3 2.600160-3 1.438543+3 2.917427-3 1.095388+3 3.273407-3 8.284690+2 3.672823-3 6.224046+2 4.168694-3 4.509577+2 4.731513-3 3.241772+2 5.370318-3 2.312147+2 6.095369-3 1.636566+2 6.918310-3 1.149925+2 7.852356-3 8.020515+1 9.015711-3 5.372604+1 1.035142-2 3.570488+1 1.188502-2 2.354692+1 1.364583-2 1.541489+1 1.566751-2 1.002033+1 1.840772-2 6.016948+0 2.113489-2 3.859480+0 2.483133-2 2.280654+0 2.951209-2 1.287479+0 3.548134-2 6.941059-1 4.365158-2 3.436630-1 5.623413-2 1.443343-1 1.109175-1 1.382041-2 1.380384-1 6.537567-3 1.678804-1 3.370912-3 1.949845-1 2.045130-3 2.238721-1 1.298018-3 2.540973-1 8.613064-4 2.884032-1 5.756489-4 3.235937-1 4.018740-4 3.630781-1 2.826077-4 4.027170-1 2.072523-4 4.466836-1 1.530446-4 4.954502-1 1.138342-4 5.495409-1 8.531795-5 6.025596-1 6.646637-5 6.606935-1 5.212205-5 7.244360-1 4.114303-5 8.317638-1 2.915360-5 8.912509-1 2.464889-5 9.440609-1 2.154948-5 1.000000+0 1.895600-5 1.071519+0 1.638128-5 1.148154+0 1.424957-5 1.216186+0 1.275974-5 1.348963+0 1.055003-5 1.566751+0 8.093052-6 1.778279+0 6.503041-6 2.000000+0 5.346300-6 2.264644+0 4.380679-6 2.570396+0 3.601626-6 2.951209+0 2.931169-6 3.388442+0 2.402985-6 3.935501+0 1.951969-6 4.623810+0 1.572151-6 5.495409+0 1.256686-6 6.760830+0 9.688014-7 8.128305+0 7.746561-7 1.035142+1 5.829459-7 1.318257+1 4.421954-7 1.737801+1 3.251296-7 2.426610+1 2.262944-7 3.467369+1 1.549505-7 5.308844+1 9.939087-8 9.549926+1 5.441113-8 1.905461+2 2.700803-8 3.801894+2 1.346628-8 3.019952+3 1.688379-9 1.000000+5 5.09650-11 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 3.863000-5 1.311000-5 1.000000+5 1.311000-5 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.863000-5 8.41880-10 1.000000+5 8.41880-10 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.863000-5 2.551916-5 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 3.674000-5 5.131000+6 3.725000-5 4.996680+6 3.770000-5 4.860720+6 3.850000-5 4.593600+6 3.940000-5 4.279983+6 4.030000-5 3.969648+6 4.150000-5 3.574756+6 4.300000-5 3.123808+6 4.472100-5 2.670304+6 4.677351-5 2.216021+6 5.308844-5 1.291851+6 5.580000-5 1.051184+6 5.821032-5 8.888426+5 6.025596-5 7.799923+5 6.237348-5 6.890250+5 6.456542-5 6.131190+5 6.683439-5 5.498655+5 6.900000-5 5.009320+5 7.079458-5 4.671884+5 7.300000-5 4.325840+5 7.500000-5 4.065800+5 7.737400-5 3.810991+5 8.000000-5 3.583888+5 8.230000-5 3.422732+5 8.511380-5 3.263499+5 8.810489-5 3.130128+5 9.150000-5 3.012720+5 9.549926-5 2.908094+5 1.000000-4 2.820112+5 1.060000-4 2.732984+5 1.364583-4 2.450629+5 1.500000-4 2.339028+5 1.621810-4 2.237006+5 1.757924-4 2.122522+5 1.905461-4 2.000871+5 2.089296-4 1.856641+5 2.290868-4 1.710050+5 2.511886-4 1.562367+5 2.754229-4 1.416687+5 3.054921-4 1.259454+5 3.388442-4 1.111362+5 3.715352-4 9.878701+4 4.200000-4 8.372040+4 4.731513-4 7.068938+4 5.308844-4 5.953298+4 6.000000-4 4.923160+4 6.760830-4 4.057294+4 7.673615-4 3.279263+4 8.709636-4 2.627747+4 9.772372-4 2.133602+4 1.102110-3 1.703388+4 1.244515-3 1.345935+4 1.396368-3 1.068767+4 1.566751-3 8.422942+3 1.757924-3 6.587201+3 1.972423-3 5.113275+3 2.213095-3 3.939321+3 2.483133-3 3.012867+3 2.786121-3 2.288032+3 3.126079-3 1.725951+3 3.507519-3 1.293112+3 3.935501-3 9.623178+2 4.466836-3 6.899759+2 5.069907-3 4.908147+2 5.754399-3 3.464425+2 6.531306-3 2.426662+2 7.413102-3 1.687178+2 8.413951-3 1.164566+2 9.660509-3 7.711454+1 1.122018-2 4.897574+1 1.273503-2 3.313229+1 1.396368-2 2.481181+1 1.584893-2 1.653991+1 1.819701-2 1.054715+1 2.213095-2 5.521888+0 2.600160-2 3.216964+0 3.054921-2 1.860808+0 3.630781-2 1.026682+0 4.415704-2 5.190864-1 5.370318-2 2.605112-1 7.161434-2 9.358080-2 1.216186-1 1.413668-2 1.479108-1 7.076514-3 1.737801-1 4.027593-3 2.000000-1 2.481000-3 2.264644-1 1.627156-3 2.540973-1 1.108195-3 2.851018-1 7.603685-4 3.162278-1 5.456207-4 3.507519-1 3.944589-4 3.845918-1 2.976632-4 4.216965-1 2.262004-4 4.623810-1 1.731616-4 5.069907-1 1.335712-4 5.559043-1 1.038569-4 6.025596-1 8.388000-5 6.531306-1 6.817839-5 7.079458-1 5.575935-5 7.762471-1 4.464422-5 8.609938-1 3.502826-5 9.225714-1 2.998632-5 9.885531-1 2.584020-5 1.083927+0 2.139086-5 1.174898+0 1.823646-5 1.288250+0 1.531699-5 1.428894+0 1.267772-5 1.640590+0 9.933924-6 1.840772+0 8.161676-6 2.065380+0 6.752158-6 2.344229+0 5.522493-6 2.660725+0 4.548966-6 3.054921+0 3.709157-6 3.548134+0 2.997258-6 4.168694+0 2.402273-6 4.897788+0 1.939863-6 5.888437+0 1.532078-6 7.161434+0 1.201203-6 8.609938+0 9.626437-7 1.083927+1 7.355407-7 1.380384+1 5.587311-7 1.819701+1 4.113378-7 2.540973+1 2.866839-7 3.630781+1 1.964608-7 5.495409+1 1.276339-7 9.772372+1 7.072792-8 1.949845+2 3.511312-8 3.890451+2 1.750995-8 3.090295+3 2.195653-9 1.000000+5 6.78200-11 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 3.674000-5 1.305100-5 1.000000+5 1.305100-5 1 40000 7 7 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.674000-5 7.80050-10 1.000000+5 7.80050-10 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.674000-5 2.368822-5 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 6.670000-6 2.077936+6 7.000000-6 2.304544+6 7.350000-6 2.537528+6 7.762471-6 2.798306+6 8.200000-6 3.059264+6 8.609938-6 3.292169+6 9.120108-6 3.564050+6 9.772372-6 3.889539+6 1.047129-5 4.211636+6 1.120000-5 4.517344+6 1.188502-5 4.776235+6 1.258925-5 5.011655+6 1.333521-5 5.223570+6 1.400000-5 5.376904+6 1.462177-5 5.487319+6 1.531087-5 5.570871+6 1.590000-5 5.607296+6 1.650000-5 5.610088+6 1.717908-5 5.573224+6 1.778279-5 5.507740+6 1.850000-5 5.393688+6 1.905461-5 5.280598+6 1.980000-5 5.098920+6 2.041738-5 4.928576+6 2.113489-5 4.713078+6 2.190000-5 4.469256+6 2.270000-5 4.206232+6 2.350000-5 3.941448+6 2.426610-5 3.690923+6 2.511886-5 3.419625+6 2.610000-5 3.121336+6 2.722701-5 2.800900+6 2.818383-5 2.549290+6 2.917427-5 2.308969+6 3.040000-5 2.039048+6 3.162278-5 1.798160+6 3.300000-5 1.558024+6 3.427678-5 1.362221+6 3.570000-5 1.171016+6 3.690000-5 1.029408+6 3.801894-5 9.117235+5 3.950000-5 7.750120+5 4.073803-5 6.756109+5 4.220000-5 5.735504+5 4.365158-5 4.865531+5 4.500000-5 4.168928+5 4.650000-5 3.504368+5 4.800000-5 2.941000+5 4.954502-5 2.451399+5 5.080000-5 2.111872+5 5.248075-5 1.726932+5 5.400000-5 1.437912+5 5.580000-5 1.156192+5 5.754399-5 9.353941+4 5.950000-5 7.374024+4 6.165950-5 5.680487+4 6.606934-5 3.402923+4 6.767700-5 2.862249+4 6.900000-5 2.504856+4 7.000000-5 2.280032+4 7.110000-5 2.072400+4 7.190000-5 1.944800+4 7.270000-5 1.834984+4 7.350000-5 1.741400+4 7.420000-5 1.671712+4 7.500000-5 1.604808+4 7.585776-5 1.546863+4 7.673615-5 1.500922+4 7.762471-5 1.466883+4 7.852356-5 1.443894+4 7.950000-5 1.430576+4 8.040000-5 1.427896+4 8.150000-5 1.435648+4 8.270000-5 1.456176+4 8.400000-5 1.490512+4 8.511380-5 1.528381+4 8.650000-5 1.584520+4 8.850000-5 1.679360+4 9.660509-5 2.149162+4 1.000000-4 2.355112+4 1.030000-4 2.531184+4 1.060000-4 2.699000+4 1.090000-4 2.856304+4 1.122018-4 3.010541+4 1.161449-4 3.180899+4 1.202264-4 3.335375+4 1.244515-4 3.470903+4 1.288250-4 3.586372+4 1.338300-4 3.691510+4 1.380384-4 3.757820+4 1.430000-4 3.812576+4 1.480000-4 3.846584+4 1.540000-4 3.860392+4 1.603245-4 3.849335+4 1.659587-4 3.822082+4 1.737801-4 3.760672+4 1.820000-4 3.677192+4 1.927525-4 3.545281+4 2.041738-4 3.390798+4 2.162719-4 3.217880+4 2.290868-4 3.031686+4 2.426610-4 2.836779+4 2.570396-4 2.637389+4 2.722701-4 2.437310+4 2.917427-4 2.200901+4 3.162278-4 1.937433+4 3.388442-4 1.724605+4 3.630781-4 1.525349+4 3.935501-4 1.311914+4 4.265795-4 1.120301+4 4.623810-4 9.501659+3 5.069907-4 7.810660+3 5.559043-4 6.373225+3 6.095369-4 5.161318+3 6.683439-4 4.149421+3 7.328245-4 3.312674+3 8.128305-4 2.551208+3 9.000000-4 1.958544+3 9.885531-4 1.524109+3 1.083927-3 1.183789+3 1.202264-3 8.841419+2 1.333521-3 6.551944+2 1.479108-3 4.818472+2 1.640590-3 3.517210+2 1.819701-3 2.549079+2 2.018366-3 1.834793+2 2.264644-3 1.263543+2 2.540973-3 8.633648+1 2.818383-3 6.087859+1 3.198895-3 3.939860+1 3.589219-3 2.633640+1 4.027170-3 1.748066+1 4.518559-3 1.151967+1 5.069907-3 7.539403+0 5.754399-3 4.693161+0 6.531306-3 2.899556+0 7.413102-3 1.778671+0 8.511380-3 1.035584+0 9.772372-3 5.982533-1 1.122018-2 3.429367-1 1.288250-2 1.951619-1 1.500000-2 1.040790-1 1.757924-2 5.360086-2 2.113489-2 2.460263-2 2.600160-2 1.016085-2 3.311311-2 3.590639-3 4.466836-2 9.822547-4 6.760830-2 1.627773-4 8.609938-2 5.743521-5 1.035142-1 2.615531-5 1.216186-1 1.323908-5 1.412538-1 7.089136-6 1.621810-1 4.013157-6 1.840772-1 2.399807-6 2.065380-1 1.514311-6 2.317395-1 9.627117-7 2.570396-1 6.446844-7 2.851018-1 4.346188-7 3.162278-1 2.950101-7 3.507519-1 2.017395-7 3.845918-1 1.449143-7 4.168694-1 1.091491-7 4.570882-1 7.949950-8 5.011872-1 5.830587-8 5.495409-1 4.303895-8 6.025596-1 3.201066-8 6.531306-1 2.488518-8 7.079458-1 1.946874-8 7.673615-1 1.532719-8 8.035261-1 1.339828-8 8.511380-1 1.128488-8 9.015711-1 9.570131-9 9.440609-1 8.443729-9 9.885531-1 7.504484-9 1.035142+0 6.725839-9 1.083927+0 6.071899-9 1.135011+0 5.517077-9 1.188600+0 5.041300-9 1.273503+0 4.444742-9 1.380384+0 3.865056-9 1.513561+0 3.311112-9 1.819701+0 2.409170-9 2.018366+0 2.027257-9 2.290868+0 1.655793-9 2.600160+0 1.362218-9 2.985383+0 1.109374-9 3.467369+0 8.95356-10 4.027170+0 7.28094-10 4.731513+0 5.87027-10 5.623413+0 4.69712-10 6.839116+0 3.67624-10 8.222427+0 2.94088-10 1.035142+1 2.24371-10 1.318257+1 1.70200-10 1.737801+1 1.25137-10 2.426610+1 8.70970-11 3.467369+1 5.96384-11 5.308844+1 3.82549-11 9.549926+1 2.09426-11 1.905461+2 1.03950-11 3.801894+2 5.18318-12 3.019952+3 6.49841-13 1.000000+5 1.96160-14 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 6.670000-6 6.670000-6 1.000000+5 6.670000-6 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 6.670000-6 0.0 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 6.520000-6 3.287919+6 6.760830-6 3.551165+6 7.000000-6 3.801672+6 7.350000-6 4.151568+6 7.762471-6 4.540917+6 8.200000-6 4.927596+6 8.709636-6 5.350571+6 9.225714-6 5.749553+6 9.885531-6 6.220504+6 1.059254-5 6.681736+6 1.135011-5 7.127231+6 1.216186-5 7.544590+6 1.290000-5 7.865976+6 1.364583-5 8.128154+6 1.428894-5 8.299292+6 1.500000-5 8.424336+6 1.570000-5 8.480328+6 1.640590-5 8.469461+6 1.710000-5 8.393316+6 1.778279-5 8.257738+6 1.840772-5 8.086131+6 1.905461-5 7.869787+6 1.980000-5 7.575036+6 2.041738-5 7.303779+6 2.113489-5 6.966750+6 2.190000-5 6.590652+6 2.270000-5 6.188280+6 2.350000-5 5.785392+6 2.426610-5 5.406264+6 2.511886-5 4.998397+6 2.610000-5 4.553064+6 2.722701-5 4.077032+6 2.818383-5 3.704068+6 2.917427-5 3.348520+6 3.040000-5 2.950560+6 3.162278-5 2.596964+6 3.273407-5 2.309703+6 3.400000-5 2.018088+6 3.540000-5 1.735452+6 3.672823-5 1.501849+6 3.801894-5 1.303157+6 3.935501-5 1.123228+6 4.073803-5 9.613135+5 4.220000-5 8.139456+5 4.365158-5 6.887877+5 4.500000-5 5.888844+5 4.650000-5 4.937388+5 4.800000-5 4.131996+5 4.954502-5 3.434080+5 5.080000-5 2.951856+5 5.230000-5 2.460552+5 5.370318-5 2.072880+5 5.500000-5 1.767696+5 5.688529-5 1.401506+5 5.888437-5 1.096042+5 6.116000-5 8.303042+4 6.500000-5 5.285460+4 6.654400-5 4.461853+4 6.770000-5 3.958608+4 6.850000-5 3.659976+4 6.950000-5 3.337668+4 7.030000-5 3.116748+4 7.110000-5 2.925576+4 7.190000-5 2.761536+4 7.270000-5 2.622264+4 7.350000-5 2.505588+4 7.420000-5 2.420460+4 7.500000-5 2.340888+4 7.585776-5 2.274710+4 7.673615-5 2.225477+4 7.762471-5 2.192825+4 7.852356-5 2.175513+4 7.950000-5 2.172600+4 8.040000-5 2.182920+4 8.150000-5 2.210364+4 8.270000-5 2.256408+4 8.413951-5 2.330355+4 8.570000-5 2.429352+4 8.800000-5 2.602308+4 9.549926-5 3.273875+4 9.900000-5 3.599088+4 1.023293-4 3.896469+4 1.050000-4 4.121964+4 1.083927-4 4.389773+4 1.120000-4 4.648572+4 1.150000-4 4.841280+4 1.190000-4 5.068212+4 1.230269-4 5.264299+4 1.273503-4 5.437388+4 1.318257-4 5.579658+4 1.364583-4 5.692716+4 1.412538-4 5.772854+4 1.462177-4 5.822187+4 1.513561-4 5.843417+4 1.580000-4 5.827572+4 1.650000-4 5.773236+4 1.717908-4 5.688711+4 1.800000-4 5.558412+4 1.890000-4 5.389608+4 2.000000-4 5.162796+4 2.113489-4 4.915907+4 2.238721-4 4.637216+4 2.371374-4 4.343865+4 2.511886-4 4.042458+4 2.660725-4 3.738951+4 2.851018-4 3.379227+4 3.090295-4 2.976402+4 3.311311-4 2.651624+4 3.548134-4 2.347011+4 3.845918-4 2.020130+4 4.168694-4 1.725985+4 4.518559-4 1.464631+4 4.897788-4 1.234825+4 5.370318-4 1.008924+4 5.888437-4 8.182011+3 6.456542-4 6.585654+3 7.079458-4 5.263417+3 7.762471-4 4.178877+3 8.609938-4 3.199802+3 9.440609-4 2.506408+3 1.047129-3 1.889181+3 1.161449-3 1.412633+3 1.288250-3 1.048027+3 1.428894-3 7.715583+2 1.584893-3 5.636788+2 1.757924-3 4.087729+2 1.949845-3 2.943724+2 2.187762-3 2.028496+2 2.371374-3 1.554303+2 2.660725-3 1.053599+2 3.019952-3 6.813551+1 3.427678-3 4.378565+1 3.845918-3 2.908643+1 4.315191-3 1.917995+1 4.841724-3 1.255686+1 5.432503-3 8.164296+0 6.165950-3 5.046316+0 6.998420-3 3.095947+0 8.000000-3 1.833634+0 9.120108-3 1.089421+0 1.059254-2 5.964119-1 1.216186-2 3.396629-1 1.380384-2 2.013433-1 1.584893-2 1.127629-1 1.840772-2 5.970663-2 2.290868-2 2.335113-2 2.818383-2 9.521049-3 3.630781-2 3.153398-3 6.998420-2 1.762469-4 8.912509-2 6.128346-5 1.047129-1 3.050359-5 1.216186-1 1.607401-5 1.380384-1 9.410162-6 1.566751-1 5.547663-6 1.757924-1 3.455548-6 1.949845-1 2.272338-6 2.162719-1 1.505690-6 2.371374-1 1.051435-6 2.600160-1 7.391171-7 2.851018-1 5.232082-7 3.126079-1 3.731274-7 3.388442-1 2.793862-7 3.672823-1 2.105794-7 3.981072-1 1.598461-7 4.315191-1 1.223428-7 4.677351-1 9.433941-8 5.069907-1 7.327927-8 5.495409-1 5.733035-8 5.956621-1 4.519474-8 6.456542-1 3.591692-8 6.998420-1 2.876720-8 7.852356-1 2.117240-8 8.413951-1 1.772376-8 8.912509-1 1.537092-8 9.440609-1 1.341224-8 1.000000+0 1.178500-8 1.071519+0 1.017724-8 1.148154+0 8.849932-9 1.216186+0 7.925114-9 1.348963+0 6.555740-9 1.584893+0 4.931294-9 1.798871+0 3.964913-9 2.018366+0 3.274649-9 2.290868+0 2.674751-9 2.600160+0 2.200455-9 2.985383+0 1.791921-9 3.467369+0 1.446270-9 4.027170+0 1.176118-9 4.731513+0 9.48230-10 5.623413+0 7.58723-10 6.839116+0 5.93812-10 8.222427+0 4.75035-10 1.047129+1 3.57624-10 1.333521+1 2.71375-10 1.757924+1 1.99591-10 2.454709+1 1.38969-10 3.467369+1 9.63350-11 5.308844+1 6.17930-11 9.549926+1 3.38279-11 1.905461+2 1.67914-11 3.801894+2 8.37226-12 3.019952+3 1.04972-12 1.000000+5 3.16850-14 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 6.520000-6 6.520000-6 1.000000+5 6.520000-6 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 6.520000-6 0.0 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 6.120000-6 2.051360+6 6.190000-6 1.932530+6 6.400000-6 1.593654+6 6.606934-6 1.319198+6 6.800000-6 1.107178+6 7.000000-6 9.239320+5 7.200000-6 7.708360+5 7.420000-6 6.315300+5 7.650000-6 5.123340+5 7.852356-6 4.256522+5 8.050000-6 3.546120+5 8.270000-6 2.887660+5 8.420000-6 2.506220+5 8.609938-6 2.089835+5 8.770000-6 1.789130+5 8.920000-6 1.543332+5 9.100000-6 1.288592+5 9.280000-6 1.071896+5 9.440609-6 9.063418+4 9.600000-6 7.646700+4 9.772372-6 6.336434+4 9.930000-6 5.314780+4 1.010000-5 4.378200+4 1.027000-5 3.591440+4 1.042000-5 3.006280+4 1.060000-5 2.422100+4 1.100000-5 1.503990+4 1.115000-5 1.270722+4 1.123000-5 1.167114+4 1.131000-5 1.076800+4 1.138000-5 1.008016+4 1.146000-5 9.403920+3 1.154000-5 8.837660+3 1.161449-5 8.403091+3 1.168000-5 8.090340+3 1.174898-5 7.827310+3 1.182000-5 7.623500+3 1.188502-5 7.493190+3 1.195000-5 7.413740+3 1.202264-5 7.381558+3 1.209000-5 7.402120+3 1.216186-5 7.474342+3 1.222000-5 7.568600+3 1.230269-5 7.754545+3 1.237000-5 7.948180+3 1.245000-5 8.224360+3 1.255000-5 8.634820+3 1.265000-5 9.111760+3 1.280000-5 9.938860+3 1.340000-5 1.426976+4 1.365000-5 1.641310+4 1.380384-5 1.779711+4 1.400000-5 1.961598+4 1.420000-5 2.151700+4 1.445440-5 2.397906+4 1.470000-5 2.638020+4 1.496236-5 2.894968+4 1.522000-5 3.145960+4 1.550000-5 3.415540+4 1.580000-5 3.699120+4 1.610000-5 3.975940+4 1.640590-5 4.250124+4 1.678804-5 4.580019+4 1.717908-5 4.901938+4 1.757924-5 5.214352+4 1.800000-5 5.524400+4 1.850000-5 5.868020+4 1.905461-5 6.218274+4 1.972423-5 6.599700+4 2.041738-5 6.949770+4 2.113489-5 7.268106+4 2.190000-5 7.562740+4 2.270000-5 7.826320+4 2.371374-5 8.102505+4 2.483133-5 8.342155+4 2.610000-5 8.544940+4 2.754229-5 8.701460+4 2.917427-5 8.800507+4 3.090295-5 8.832658+4 3.273407-5 8.803739+4 3.467369-5 8.719361+4 3.672823-5 8.583934+4 3.935501-5 8.361366+4 4.216965-5 8.080473+4 4.518559-5 7.748546+4 4.841724-5 7.377999+4 5.188000-5 6.978062+4 5.623413-5 6.488879+4 6.116000-5 5.966449+4 6.683439-5 5.421219+4 7.413102-5 4.811435+4 8.511380-5 4.066462+4 9.885531-5 3.363267+4 1.230269-4 2.525739+4 1.770000-4 1.561400+4 2.000000-4 1.319086+4 2.238721-4 1.119034+4 2.540973-4 9.227222+3 3.427678-4 5.758042+3 4.315191-4 3.977807+3 5.128614-4 2.995709+3 7.673615-4 1.522716+3 9.440609-4 1.065554+3 1.202264-3 6.981286+2 1.479108-3 4.824299+2 1.778279-3 3.446919+2 2.137962-3 2.445075+2 2.570396-3 1.721302+2 3.126079-3 1.175361+2 3.715352-3 8.338014+1 4.415704-3 5.870737+1 5.248075-3 4.102702+1 6.237348-3 2.845701+1 7.413102-3 1.958268+1 8.709636-3 1.371436+1 1.023293-2 9.535423+0 1.202264-2 6.581745+0 1.412538-2 4.509236+0 1.659587-2 3.065669+0 1.949845-2 2.068307+0 2.290868-2 1.384711+0 2.691535-2 9.201306-1 3.162278-2 6.069469-1 3.758374-2 3.855564-1 4.466836-2 2.430439-1 5.248075-2 1.569189-1 6.309573-2 9.442091-2 7.762471-2 5.289168-2 9.772372-2 2.755373-2 1.288250-1 1.245800-2 2.041738-1 3.306198-3 2.483133-1 1.889887-3 2.917427-1 1.200272-3 3.388442-1 7.930994-4 3.845918-1 5.625242-4 4.315191-1 4.144721-4 4.841724-1 3.076550-4 5.370318-1 2.369365-4 5.956621-1 1.837895-4 6.606935-1 1.436913-4 7.328245-1 1.132421-4 8.035261-1 9.226687-5 8.810489-1 7.566035-5 9.660509-1 6.247745-5 1.122018+0 4.631422-5 1.216186+0 3.962077-5 1.396368+0 3.060021-5 1.548817+0 2.536804-5 1.737801+0 2.077100-5 1.949845+0 1.712953-5 2.213095+0 1.396094-5 2.511886+0 1.146351-5 2.884032+0 9.318163-6 3.311311+0 7.630274-6 3.845918+0 6.191135-6 4.518559+0 4.981219-6 5.370318+0 3.977610-6 6.606934+0 3.063525-6 7.943282+0 2.447283-6 1.011579+1 1.840100-6 1.288250+1 1.394834-6 1.698244+1 1.024876-6 2.344229+1 7.217555-7 3.349654+1 4.938372-7 5.188000+1 3.128222-7 9.440609+1 1.691970-7 1.883649+2 8.397589-8 3.758374+2 4.186887-8 2.985383+3 5.249090-9 1.000000+5 1.56630-10 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 6.120000-6 6.120000-6 1.000000+5 6.120000-6 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 6.120000-6 0.0 1.000000+5 1.000000+5 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 8.732000-8 1.028750+0 8.732000-7 1.029500+0 1.195000-6 1.030100+0 1.502850-6 1.031000+0 2.056420-6 1.032000+0 2.813690-6 1.033200+0 3.941510-6 1.034000+0 4.838570-6 1.035300+0 6.567670-6 1.036640+0 8.732000-6 1.038200+0 1.178410-5 1.039700+0 1.530990-5 1.041500+0 2.036970-5 1.043800+0 2.827380-5 1.046400+0 3.933760-5 1.048300+0 4.897640-5 1.051200+0 6.643550-5 1.054080+0 8.732000-5 1.057700+0 1.190230-4 1.061100+0 1.548190-4 1.065100+0 2.049640-4 1.070400+0 2.859470-4 1.076200+0 3.951790-4 1.080600+0 4.935140-4 1.087100+0 6.649240-4 1.093710+0 8.732000-4 1.102600+0 1.210650-3 1.110700+0 1.578870-3 1.120600+0 2.111950-3 1.133300+0 2.936360-3 1.147500+0 4.054080-3 1.158200+0 5.038190-3 1.174100+0 6.734050-3 1.190110+0 8.732000-3 1.205100+0 1.087150-2 1.227500+0 1.455280-2 1.250000+0 1.880000-2 1.265600+0 2.203570-2 1.294900+0 2.869100-2 1.331800+0 3.800490-2 1.362600+0 4.645860-2 1.397000+0 5.651860-2 1.455800+0 7.507880-2 1.500000+0 9.018000-2 1.589800+0 1.242050-1 1.665000+0 1.560070-1 1.784700+0 2.119600-1 1.892300+0 2.663540-1 2.000000+0 3.227000-1 2.044000+0 3.458000-1 2.163500+0 4.092610-1 2.372600+0 5.221070-1 2.647100+0 6.705570-1 3.000000+0 8.574000-1 3.437500+0 1.078060+0 4.000000+0 1.343000+0 4.750000+0 1.666390+0 5.000000+0 1.767000+0 6.000000+0 2.137000+0 7.000000+0 2.468000+0 8.000000+0 2.765000+0 9.000000+0 3.035000+0 1.000000+1 3.282000+0 1.100000+1 3.508000+0 1.200000+1 3.716000+0 1.300000+1 3.907000+0 1.400000+1 4.083000+0 1.500000+1 4.247000+0 1.600000+1 4.401000+0 1.800000+1 4.681000+0 2.000000+1 4.932000+0 2.200000+1 5.161000+0 2.400000+1 5.368000+0 2.600000+1 5.558000+0 2.800000+1 5.731000+0 3.000000+1 5.891000+0 4.000000+1 6.542000+0 5.000000+1 7.024000+0 6.000000+1 7.399000+0 8.000000+1 7.954000+0 1.000000+2 8.349000+0 1.500000+2 8.976000+0 2.000000+2 9.352000+0 3.000000+2 9.789000+0 4.000000+2 1.004000+1 5.000000+2 1.021000+1 6.000000+2 1.033000+1 8.000000+2 1.048000+1 1.000000+3 1.059000+1 1.500000+3 1.073000+1 2.000000+3 1.082000+1 3.000000+3 1.090000+1 4.000000+3 1.095000+1 5.000000+3 1.098000+1 6.000000+3 1.100000+1 8.000000+3 1.103000+1 1.000000+4 1.104000+1 1.500000+4 1.107000+1 2.000000+4 1.108000+1 3.000000+4 1.109000+1 4.000000+4 1.110000+1 5.000000+4 1.111000+1 6.000000+4 1.111000+1 8.000000+4 1.111000+1 1.000000+5 1.111000+1 1 40000 7 8 9.122000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 4.014440-7 2.106600+0 1.307950-6 2.114000+0 1.809710-6 2.119500+0 2.253080-6 2.127900+0 3.055600-6 2.136250+0 4.014440-6 2.147000+0 5.504080-6 2.156900+0 7.149140-6 2.169000+0 9.540970-6 2.184500+0 1.326230-5 2.201800+0 1.834870-5 2.214800+0 2.286110-5 2.234200+0 3.075220-5 2.253680+0 4.014440-5 2.281500+0 5.622930-5 2.307000+0 7.385700-5 2.338200+0 9.930720-5 2.377400+0 1.375290-4 2.410200+0 1.749130-4 2.446800+0 2.225000-4 2.485900+0 2.801390-4 2.532900+0 3.585180-4 2.556430+0 4.014440-4 2.611900+0 5.118860-4 2.660400+0 6.188420-4 2.745300+0 8.282790-4 2.809000+0 1.003090-3 2.904500+0 1.292240-3 3.000000+0 1.613000-3 3.125000+0 2.079900-3 3.234400+0 2.530780-3 3.425800+0 3.408070-3 3.569300+0 4.132700-3 3.784700+0 5.312890-3 4.000000+0 6.582000-3 4.250000+0 8.134200-3 4.625000+0 1.057420-2 5.000000+0 1.311000-2 5.500000+0 1.658700-2 6.000000+0 2.011000-2 6.750000+0 2.536030-2 7.000000+0 2.709000-2 8.000000+0 3.386000-2 9.000000+0 4.033000-2 1.000000+1 4.648000-2 1.100000+1 5.231000-2 1.200000+1 5.780000-2 1.300000+1 6.298000-2 1.400000+1 6.791000-2 1.500000+1 7.258000-2 1.600000+1 7.702000-2 1.800000+1 8.524000-2 2.000000+1 9.273000-2 2.200000+1 9.959000-2 2.400000+1 1.059000-1 2.600000+1 1.117000-1 2.800000+1 1.171000-1 3.000000+1 1.222000-1 4.000000+1 1.430000-1 5.000000+1 1.589000-1 6.000000+1 1.715000-1 8.000000+1 1.905000-1 1.000000+2 2.044000-1 1.500000+2 2.275000-1 2.000000+2 2.421000-1 3.000000+2 2.600000-1 4.000000+2 2.709000-1 5.000000+2 2.784000-1 6.000000+2 2.839000-1 8.000000+2 2.915000-1 1.000000+3 2.966000-1 1.500000+3 3.043000-1 2.000000+3 3.087000-1 3.000000+3 3.136000-1 4.000000+3 3.164000-1 5.000000+3 3.182000-1 6.000000+3 3.194000-1 8.000000+3 3.210000-1 1.000000+4 3.221000-1 1.500000+4 3.235000-1 2.000000+4 3.243000-1 3.000000+4 3.251000-1 4.000000+4 3.257000-1 5.000000+4 3.260000-1 6.000000+4 3.262000-1 8.000000+4 3.264000-1 1.000000+5 3.265000-1 1 40000 7 8 9.122000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 40000 7 9 9.122000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 4.000000+1 1.000000+5 4.000000+1 5.000000+5 3.998200+1 1.000000+6 3.994400+1 1.375000+6 3.990170+1 1.500000+6 3.988400+1 1.875000+6 3.982060+1 2.000000+6 3.979600+1 2.375000+6 3.971330+1 2.500000+6 3.968300+1 2.875000+6 3.958460+1 3.000000+6 3.954900+1 3.437500+6 3.941110+1 3.812500+6 3.928480+1 4.000000+6 3.922100+1 4.500000+6 3.903260+1 5.000000+6 3.883100+1 5.500000+6 3.860840+1 5.875000+6 3.843680+1 6.437500+6 3.816670+1 6.500000+6 3.813750+1 7.000000+6 3.788900+1 7.500000+6 3.763510+1 8.250000+6 3.724310+1 8.500000+6 3.711330+1 9.000000+6 3.684900+1 1.000000+7 3.631300+1 1.125000+7 3.564710+1 1.187500+7 3.531980+1 1.250000+7 3.499500+1 1.500000+7 3.371900+1 1.750000+7 3.249600+1 2.000000+7 3.132300+1 2.250000+7 3.018200+1 2.375000+7 2.962260+1 2.500000+7 2.907800+1 2.875000+7 2.750400+1 3.000000+7 2.700800+1 3.500000+7 2.515150+1 4.000000+7 2.351800+1 4.500000+7 2.207980+1 4.750000+7 2.142430+1 5.000000+7 2.080800+1 5.500000+7 1.966440+1 5.750000+7 1.912900+1 6.000000+7 1.861400+1 6.500000+7 1.762790+1 7.000000+7 1.668800+1 7.500000+7 1.578360+1 8.000000+7 1.491100+1 8.500000+7 1.406990+1 9.000000+7 1.326500+1 9.750000+7 1.213300+1 1.000000+8 1.177700+1 1.062500+8 1.093510+1 1.187500+8 9.492440+0 1.250000+8 8.889900+0 1.375000+8 7.899060+0 1.437500+8 7.497100+0 1.468800+8 7.316460+0 1.500000+8 7.149100+0 1.617200+8 6.616760+0 1.718800+8 6.244570+0 1.753900+8 6.130160+0 2.000000+8 5.459900+0 2.375000+8 4.688360+0 2.500000+8 4.476600+0 2.671900+8 4.205590+0 2.789100+8 4.017360+0 2.875000+8 3.871830+0 2.894500+8 3.837670+0 2.973600+8 3.694500+0 3.000000+8 3.645300+0 3.062500+8 3.525520+0 3.335900+8 3.034340+0 3.445300+8 2.879290+0 3.500000+8 2.813900+0 3.562500+8 2.749110+0 3.890600+8 2.482890+0 4.000000+8 2.391300+0 4.062500+8 2.334050+0 4.179700+8 2.220210+0 4.282200+8 2.118280+0 4.461700+8 1.945070+0 4.730800+8 1.718530+0 4.750000+8 1.704260+0 4.865400+8 1.625030+0 5.000000+8 1.546100+0 5.125000+8 1.485510+0 5.234400+8 1.440600+0 5.425800+8 1.375730+0 5.677000+8 1.308710+0 6.000000+8 1.238600+0 6.750000+8 1.105690+0 7.000000+8 1.070100+0 7.750000+8 9.811840-1 8.000000+8 9.526000-1 8.250000+8 9.230030-1 8.687500+8 8.699410-1 9.015600+8 8.302710-1 9.507800+8 7.722940-1 1.000000+9 7.175000-1 1.062500+9 6.532900-1 1.141100+9 5.806330-1 1.206900+9 5.260540-1 1.280200+9 4.711960-1 1.335100+9 4.338550-1 1.375000+9 4.085990-1 1.417600+9 3.832250-1 1.500000+9 3.385500-1 1.589800+9 2.957900-1 1.665000+9 2.643820-1 1.748800+9 2.336020-1 1.838500+9 2.050360-1 1.946200+9 1.759020-1 2.000000+9 1.631900-1 2.139200+9 1.350340-1 2.272600+9 1.133480-1 2.443000+9 9.143620-2 2.602800+9 7.539960-2 2.825100+9 5.841040-2 3.097000+9 4.355980-2 3.438900+9 3.093570-2 3.725100+9 2.370490-2 4.180400+9 1.605010-2 4.726800+9 1.053120-2 5.000000+9 8.673000-3 5.750000+9 5.337330-3 8.000000+9 1.682600-3 1.00000+10 7.724900-4 1.20500+10 4.060640-4 1.41820+10 2.329970-4 1.71170+10 1.235560-4 2.01490+10 7.168570-5 2.26440+10 4.870300-5 2.74790+10 2.579740-5 3.41360+10 1.274810-5 4.02450+10 7.502480-6 5.12000+10 3.479410-6 6.34000+10 1.770050-6 8.17000+10 7.989640-7 1.00000+11 4.257100-7 1.34280+11 1.710280-7 1.77440+11 7.265560-8 2.63330+11 2.182130-8 3.75720+11 7.455290-9 6.61190+11 1.373700-9 1.48990+12 1.24489-10 4.26460+12 5.80110-12 1.00000+14 6.66060-16 5.62340+14 4.53447-18 7.49890+15 2.39423-21 1.00000+17 1.21540-24 1 40000 7 0 9.122000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 8.30000-12 1.000000+2 8.30000-10 1.000000+3 8.300000-8 1.000000+4 8.300000-6 1.000000+5 8.300000-4 5.000000+5 2.075000-2 1.000000+6 8.300000-2 1.375000+6 1.554370-1 1.500000+6 1.843000-1 1.875000+6 2.842230-1 2.000000+6 3.218000-1 2.375000+6 4.463470-1 2.500000+6 4.916000-1 2.875000+6 6.373780-1 3.000000+6 6.891000-1 3.437500+6 8.806010-1 3.812500+6 1.055870+0 4.000000+6 1.146700+0 4.500000+6 1.396420+0 5.000000+6 1.654000+0 5.500000+6 1.914900+0 5.875000+6 2.110860+0 6.437500+6 2.402270+0 6.500000+6 2.434470+0 7.000000+6 2.688100+0 7.500000+6 2.934950+0 8.250000+6 3.292210+0 8.500000+6 3.407560+0 9.000000+6 3.633200+0 1.000000+7 4.064000+0 1.125000+7 4.574090+0 1.187500+7 4.821120+0 1.250000+7 5.064700+0 1.500000+7 6.019000+0 1.750000+7 6.958600+0 2.000000+7 7.879000+0 2.250000+7 8.766980+0 2.375000+7 9.197650+0 2.500000+7 9.620600+0 2.875000+7 1.084070+1 3.000000+7 1.123600+1 3.500000+7 1.275740+1 4.000000+7 1.417600+1 4.500000+7 1.547880+1 4.750000+7 1.608280+1 5.000000+7 1.665800+1 5.500000+7 1.771500+1 5.750000+7 1.820340+1 6.000000+7 1.867200+1 6.500000+7 1.955020+1 7.000000+7 2.037300+1 7.500000+7 2.115150+1 8.000000+7 2.189500+1 8.500000+7 2.260650+1 9.000000+7 2.329400+1 9.750000+7 2.426950+1 1.000000+8 2.458300+1 1.062500+8 2.533420+1 1.187500+8 2.671350+1 1.250000+8 2.734700+1 1.375000+8 2.850020+1 1.437500+8 2.902370+1 1.468800+8 2.927490+1 1.500000+8 2.951700+1 1.617200+8 3.035470+1 1.718800+8 3.100860+1 1.753900+8 3.121860+1 2.000000+8 3.252200+1 2.375000+8 3.405000+1 2.500000+8 3.447000+1 2.671900+8 3.498920+1 2.789100+8 3.530830+1 2.875000+8 3.552870+1 2.894500+8 3.557560+1 2.973600+8 3.576330+1 3.000000+8 3.582500+1 3.062500+8 3.595960+1 3.335900+8 3.649620+1 3.445300+8 3.668170+1 3.500000+8 3.677100+1 3.562500+8 3.686510+1 3.890600+8 3.729970+1 4.000000+8 3.742600+1 4.062500+8 3.748980+1 4.179700+8 3.760710+1 4.282200+8 3.770430+1 4.461700+8 3.785690+1 4.730800+8 3.805730+1 4.750000+8 3.806990+1 4.865400+8 3.814470+1 5.000000+8 3.823000+1 5.125000+8 3.829950+1 5.234400+8 3.835910+1 5.425800+8 3.846060+1 5.677000+8 3.857520+1 6.000000+8 3.871500+1 6.750000+8 3.898220+1 7.000000+8 3.905900+1 7.750000+8 3.926000+1 8.000000+8 3.931800+1 8.250000+8 3.936900+1 8.687500+8 3.945480+1 9.015600+8 3.951260+1 9.507800+8 3.958790+1 1.000000+9 3.965300+1 1.062500+9 3.972010+1 1.141100+9 3.978410+1 1.206900+9 3.982710+1 1.280200+9 3.986550+1 1.335100+9 3.988930+1 1.375000+9 3.990160+1 1.417600+9 3.991440+1 1.500000+9 3.993800+1 1.589800+9 3.995100+1 1.665000+9 3.996140+1 1.748800+9 3.997240+1 1.838500+9 3.997790+1 1.946200+9 3.998400+1 2.000000+9 3.998700+1 2.139200+9 3.999020+1 2.272600+9 3.999300+1 2.443000+9 3.999640+1 2.602800+9 3.999940+1 2.825100+9 4.000190+1 3.097000+9 4.000160+1 3.438900+9 4.000120+1 3.725100+9 4.000100+1 4.180400+9 4.000060+1 4.726800+9 4.000020+1 5.000000+9 4.000000+1 5.750000+9 4.000000+1 8.000000+9 4.000000+1 1.00000+10 4.000000+1 1.20500+10 4.000000+1 1.41820+10 4.000000+1 1.71170+10 4.000000+1 2.01490+10 4.000000+1 2.26440+10 4.000000+1 2.74790+10 4.000000+1 3.41360+10 4.000000+1 4.02450+10 4.000000+1 5.12000+10 4.000000+1 6.34000+10 4.000000+1 8.17000+10 4.000000+1 1.00000+11 4.000000+1 1.34280+11 4.000000+1 1.77440+11 4.000000+1 2.63330+11 4.000000+1 3.75720+11 4.000000+1 6.61190+11 4.000000+1 1.48990+12 4.000000+1 4.26460+12 4.000000+1 1.00000+14 4.000000+1 5.62340+14 4.000000+1 7.49890+15 4.000000+1 1.00000+17 4.000000+1 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.788329-6 0.0 2.800339-6 3.507928+0 2.802055-6 4.003947+0 2.808918-6 7.313536+0 2.815781-6 1.233163+1 2.823502-6 2.023990+1 2.835406-6 3.530999+1 2.844092-6 4.551230+1 2.850526-6 5.075339+1 2.857590-6 5.263073+1 2.864453-6 5.036869+1 2.874118-6 4.343556+1 2.884631-6 3.625385+1 2.891628-6 3.448217+1 2.898693-6 3.777046+1 2.905978-6 4.714574+1 2.914595-6 6.452340+1 2.927172-6 9.172176+1 2.934685-6 1.033904+2 2.941240-6 1.070723+2 2.948573-6 1.022758+2 2.956259-6 8.890748+1 2.967380-6 6.161972+1 2.976183-6 3.994197+1 2.983248-6 2.578514+1 2.990313-6 1.536610+1 2.997377-6 8.453018+0 3.007974-6 2.148791+0 3.011507-6 0.0 3.152368-6 0.0 3.160128-6 3.88759-14 3.167887-6 7.69247-14 3.175646-6 1.40509-13 3.183405-6 2.36918-13 3.191164-6 3.68761-13 3.198923-6 5.29841-13 3.206683-6 7.02749-13 3.214442-6 8.60416-13 3.222201-6 9.72458-13 3.229960-6 1.01458-12 3.234263-6 9.93843-13 3.250184-6 5.551880-1 3.258145-6 1.014096+0 3.266106-6 1.709906+0 3.274066-6 2.661454+0 3.298944-6 6.310745+0 3.305909-6 7.018514+0 3.313870-6 7.323047+0 3.323020-6 7.113809+0 3.332196-6 6.315493+0 3.346470-6 4.765049+0 3.354627-6 4.133114+0 3.362784-6 3.844900+0 3.372979-6 3.916989+0 3.387253-6 4.243940+0 3.394603-6 4.165018+0 3.404087-6 4.036545+0 3.412445-6 3.590908+0 3.429161-6 2.326031+0 3.437519-6 1.762997+0 3.444350-6 1.404602+0 3.452506-6 1.130275+0 3.460663-6 9.852375-1 3.470952-6 8.971814-1 3.476976-6 7.974564-1 3.479310-6 8.068258-1 3.487668-6 7.770519-1 3.496026-6 6.908348-1 3.504384-6 5.669599-1 3.521101-6 3.003797-1 3.529459-6 1.939147-1 3.537817-6 1.155593-1 3.546175-6 6.357011-2 3.554533-6 3.228160-2 3.562892-6 0.0 3.972736-6 0.0 3.982515-6 6.76337-15 3.992293-6 1.33828-14 4.002071-6 2.44449-14 4.011850-6 4.12174-14 4.021628-6 6.41545-14 4.031406-6 9.21781-14 4.041185-6 1.22259-13 4.050963-6 1.49689-13 4.060742-6 1.69182-13 4.070520-6 1.76510-13 4.080298-6 1.69996-13 4.090077-6 1.51135-13 4.099855-6 1.24034-13 4.119412-6 6.57144-14 4.129190-6 4.24229-14 4.138969-6 2.52810-14 4.148747-6 1.39073-14 4.158525-6 7.06228-15 4.168304-6 0.0 4.336776-6 0.0 4.347450-6 1.496508-8 4.358125-6 2.961178-8 4.368799-6 5.408833-8 4.379473-6 9.120035-8 4.390148-6 1.419526-7 4.400822-6 2.039596-7 4.411497-6 2.705195-7 4.422171-6 3.312128-7 4.432846-6 3.743428-7 4.443520-6 3.905583-7 4.454194-6 3.761457-7 4.464869-6 3.344108-7 4.475543-6 2.744470-7 4.486218-6 2.079173-7 4.498241-6 1.389028-7 4.507567-6 1.014278-7 4.518241-6 7.200140-8 4.520385-6 6.866107-8 4.528915-6 5.984960-8 4.531457-6 5.962765-8 4.542529-6 6.605523-8 4.550264-6 7.598474-8 4.553601-6 8.517746-8 4.572377-6 1.501546-7 4.594122-6 1.044924-1 4.595156-6 1.237186-1 4.606439-6 3.611322-1 4.617394-6 6.382365-1 4.629012-6 1.089165+0 4.640937-6 1.735180+0 4.670387-6 3.789587+0 4.676083-6 4.185599+0 4.688452-6 4.803273+0 4.697535-6 5.060297+0 4.709299-6 4.998232+0 4.720531-6 4.585693+0 4.736140-6 3.593492+0 4.755896-6 2.157348+0 4.764396-6 1.599417+0 4.775678-6 1.011313+0 4.786355-6 6.065282-1 4.797663-6 3.026737-1 4.812342-6 1.079434-1 4.820278-6 0.0 4.936416-6 0.0 4.947913-6 3.12108-15 4.950607-6 5.150284-9 4.958161-6 7.588161-8 4.982569-6 7.001653-2 4.994773-6 1.278909-1 5.006977-6 2.156415-1 5.020985-6 3.572817-1 5.053005-6 7.466373-1 5.057920-6 8.008914-1 5.069700-6 8.904683-1 5.081879-6 9.187893-1 5.094371-6 8.735138-1 5.110024-6 7.463355-1 5.134541-6 4.967859-1 5.142973-6 4.318310-1 5.153423-6 3.798536-1 5.163165-6 3.686869-1 5.167273-6 3.719715-1 5.179424-6 4.085163-1 5.194313-6 4.946850-1 5.213874-6 6.555581-1 5.298657-6 1.256067+0 5.311205-6 1.282921+0 5.323183-6 1.248162+0 5.336300-6 1.135365+0 5.358708-6 8.075107-1 5.374862-6 5.528508-1 5.384244-6 4.178616-1 5.397025-6 2.670478-1 5.409805-6 1.576418-1 5.413138-6 1.374654-1 5.422586-6 8.595354-2 5.438655-6 2.670774-2 5.448148-6 0.0 5.449341-6 0.0 5.449351-6 2.57389-15 5.467475-6 1.11161-11 5.472111-6 1.508722-3 5.494390-6 3.102613-2 5.499049-6 3.812694-2 5.507848-6 5.737123-2 5.512518-6 6.888159-2 5.514527-6 7.553661-2 5.525987-6 1.251433-1 5.539455-6 1.991647-1 5.556654-6 3.213041-1 5.593331-6 6.452952-1 5.610727-6 7.598880-1 5.625369-6 8.211436-1 5.639399-6 8.510066-1 5.655880-6 8.392674-1 5.689635-6 7.310272-1 5.719551-6 6.117607-1 5.744362-6 5.487980-1 5.765208-6 5.470842-1 5.821916-6 6.107892-1 5.851171-6 6.113296-1 5.902395-6 5.574442-1 5.953608-6 5.974332-1 5.973631-6 5.829586-1 6.028521-6 4.531246-1 6.045123-6 4.433942-1 6.061668-6 4.661451-1 6.110998-6 6.483236-1 6.127755-6 6.816948-1 6.145806-6 6.826607-1 6.179549-6 6.155017-1 6.192564-6 5.814610-1 6.214424-6 5.494049-1 6.233231-6 5.496399-1 6.305926-6 6.114849-1 6.423745-6 5.980419-1 6.471784-6 5.801485-1 6.500161-6 5.761297-1 6.547334-6 5.874292-1 6.641719-6 6.268451-1 7.124438-6 7.271599-1 8.077177-6 9.421033-1 9.772372-6 1.410656+0 1.432664-5 2.818445+0 1.640590-5 3.311112+0 1.846233-5 3.569355+0 2.080020-5 3.571698+0 2.403699-5 3.220691+0 2.934325-5 2.371880+0 2.948770-5 4.013819+0 2.950478-5 4.335902+0 2.955993-5 1.112611+1 2.965002-5 2.314047+1 2.972264-5 3.854404+1 2.979527-5 6.088414+1 2.987697-5 9.460049+1 3.004491-5 1.740598+2 3.009029-5 1.928741+2 3.016607-5 2.127381+2 3.024160-5 2.161158+2 3.031132-5 2.042600+2 3.038528-5 1.777697+2 3.059411-5 7.845202+1 3.066673-5 5.112207+1 3.073936-5 3.105277+1 3.081198-5 1.771801+1 3.092999-5 5.098544+0 3.095722-5 2.124856+0 3.122230-5 2.086135+0 3.137660-5 1.048216+1 3.145525-5 1.765772+1 3.153238-5 2.831294+1 3.162030-5 4.528851+1 3.181810-5 9.090034+1 3.186022-5 9.903585+1 3.193319-5 1.087310+2 3.200880-5 1.112396+2 3.208378-5 1.056950+2 3.216586-5 9.167898+1 3.237505-5 4.299450+1 3.245190-5 2.842641+1 3.252875-5 1.770212+1 3.260560-5 1.058301+1 3.275150-5 2.319795+0 3.275930-5 1.870018+0 3.384153-5 1.727397+0 3.400813-5 1.864794+0 3.409142-5 1.985339+0 3.417480-5 2.173865+0 3.427005-5 2.481360+0 3.459120-5 3.774164+0 3.467450-5 3.965293+0 3.475780-5 4.055232+0 3.503458-5 4.134399+0 3.532258-5 4.444678+0 3.542148-5 4.449014+0 3.574258-5 4.195493+0 3.595410-5 4.256191+0 3.628657-5 4.652068+0 3.647558-5 4.969691+0 3.674211-5 5.207668+0 3.725000-5 5.445976+0 3.820968-5 5.180931+0 4.035030-5 4.644392+0 4.565107-5 3.251060+0 4.896076-5 2.568162+0 5.246723-5 2.017330+0 5.544450-5 1.669472+0 5.590769-5 1.701555+0 5.658903-5 1.930504+0 5.686157-5 1.924490+0 5.716837-5 1.788824+0 5.756160-5 1.588843+0 5.791481-5 1.513194+0 5.880025-5 1.526558+0 6.222017-5 1.312846+0 6.683176-5 1.130489+0 7.079458-5 1.035109+0 7.680000-5 9.622878-1 8.270000-5 9.435165-1 9.306767-5 9.761751-1 1.380384-4 1.255856+0 1.690607-4 1.368210+0 1.827342-4 1.394985+0 1.841183-4 1.467062+0 1.850302-4 1.586189+0 1.874243-4 2.119747+0 1.885568-4 2.285414+0 1.900262-4 2.374336+0 1.933694-4 2.342165+0 1.953000-4 2.452310+0 1.972000-4 2.678235+0 1.992673-4 3.086758+0 2.014595-4 3.719032+0 2.050248-4 5.101975+0 2.178881-4 1.070454+1 2.264644-4 1.372661+1 2.350000-4 1.576921+1 2.520000-4 1.810790+1 2.723854-4 1.978751+1 3.038101-4 2.057351+1 3.172687-4 2.080146+1 3.190864-4 2.157373+1 3.215124-4 2.413920+1 3.238153-4 2.649983+1 3.254252-4 2.630743+1 3.292838-4 2.275686+1 3.320163-4 2.232782+1 3.376904-4 2.483655+1 3.402971-4 2.451502+1 3.442264-4 2.318507+1 4.137189-4 2.175009+1 4.219319-4 2.227553+1 6.006246-4 1.649068+1 7.161909-4 1.363691+1 8.640000-4 1.093116+1 1.002421-3 9.082312+0 1.168275-3 7.434974+0 1.353770-3 6.092016+0 1.578023-3 4.918682+0 1.789617-3 4.107044+0 2.073570-3 3.310926+0 2.164962-3 3.111817+0 2.175620-3 3.461868+0 2.181376-3 3.818138+0 2.186618-3 4.330704+0 2.192378-3 5.154705+0 2.200593-3 6.773588+0 2.213969-3 9.779376+0 2.219046-3 1.070905+1 2.224667-3 1.141150+1 2.230188-3 1.177283+1 2.242344-3 1.173129+1 2.256190-3 1.129932+1 2.271891-3 1.138002+1 2.286237-3 1.247222+1 2.306626-3 1.443628+1 2.318426-3 1.490809+1 2.382510-3 1.404661+1 2.479954-3 1.343308+1 2.540945-3 1.454301+1 3.062405-3 1.110122+1 3.507519-3 9.015477+0 4.027170-3 7.261203+0 4.628149-3 5.805555+0 5.286330-3 4.662601+0 5.961915-3 3.813625+0 6.782640-3 3.063324+0 7.772465-3 2.423401+0 8.748500-3 1.972737+0 9.841076-3 1.603386+0 1.105372-2 1.305044+0 1.235592-2 1.069612+0 1.381129-2 8.753082-1 1.537008-2 7.208242-1 1.737051-2 5.765580-1 1.753699-2 5.734991-1 1.761796-2 5.987408-1 1.766791-2 6.436590-1 1.770863-2 7.107480-1 1.774720-2 8.099985-1 1.778418-2 9.458175-1 1.782616-2 1.152652+0 1.788625-2 1.543513+0 1.804317-2 2.745686+0 1.812994-2 3.214505+0 1.823203-2 3.476976+0 1.838125-2 3.537382+0 2.132975-2 2.795044+0 2.432408-2 2.252774+0 2.766724-2 1.812292+0 3.111883-2 1.478257+0 3.533275-2 1.183330+0 3.926004-2 9.802220-1 4.308985-2 8.283007-1 4.746541-2 6.938121-1 5.308357-2 5.640494-1 5.928549-2 4.586754-1 6.512821-2 3.839584-1 7.209452-2 3.162800-1 7.909351-2 2.648194-1 8.846691-2 2.133212-1 9.828789-2 1.737175-1 1.103825-1 1.386077-1 1.218485-1 1.142522-1 1.339609-1 9.488693-2 1.485863-1 7.749507-2 1.638208-1 6.403037-2 1.808108-1 5.279328-2 1.993917-1 4.367520-2 2.216974-1 3.562534-2 2.451635-1 2.942305-2 2.714089-1 2.432268-2 3.021582-1 1.996044-2 3.362748-1 1.646569-2 3.686061-1 1.401751-2 4.109131-1 1.164378-2 4.648831-1 9.513235-3 5.173090-1 8.046028-3 5.756470-1 6.857645-3 6.428727-1 5.862170-3 7.249574-1 4.996218-3 8.244365-1 4.273955-3 9.549926-1 3.617639-3 1.120601+0 3.054984-3 1.347258+0 2.508594-3 1.622287+0 2.056651-3 1.859734+0 1.776920-3 2.235892+0 1.459114-3 2.688134+0 1.198149-3 3.231848+0 9.838576-4 3.885536+0 8.078927-4 4.671441+0 6.633995-4 5.616308+0 5.447492-4 6.752287+0 4.473197-4 8.118035+0 3.673157-4 9.760024+0 3.016205-4 1.000000+1 6.092598-4 1 40000 7 0 9.122000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-3.969673+1 2.027719-6-3.787393+1 2.400000-6-3.522942+1 2.571014-6-3.200591+1 2.658653-6-2.853738+1 2.710949-6-2.479849+1 2.742970-6-2.103422+1 2.761740-6-1.771778+1 2.773061-6-1.495104+1 2.781888-6-1.203501+1 2.787121-6-9.623196+0 2.789187-6-8.203380+0 2.790688-6-7.347988+0 2.798624-6-3.428451+0 2.800339-6-2.522179+0 2.802055-6-1.463875+0 2.808918-6 2.680044+0 2.809776-6 3.282314+0 2.816639-6 7.146246+0 2.818140-6 7.843131+0 2.823502-6 9.841069+0 2.825004-6 1.017420+1 2.829508-6 1.044512+1 2.832510-6 1.005549+1 2.835406-6 9.082592+0 2.839802-6 6.550755+0 2.841518-6 5.292960+0 2.842376-6 4.556022+0 2.844092-6 2.719528+0 2.847094-6-2.366966-1 2.848596-6-1.858861+0 2.849346-6-2.766087+0 2.849722-6-3.267099+0 2.850526-6-4.529566+0 2.851330-6-5.578355+0 2.856256-6-1.150610+1 2.857590-6-1.359110+1 2.865232-6-2.200218+1 2.868925-6-2.431111+1 2.877549-6-2.591222+1 2.881988-6-2.526207+1 2.884631-6-2.358781+1 2.889531-6-1.989546+1 2.891407-6-1.776742+1 2.892858-6-1.597608+1 2.897770-6-1.107111+1 2.899121-6-9.078730+0 2.899923-6-8.199690+0 2.905537-6-3.445161+0 2.905978-6-2.949010+0 2.906806-6-2.345876+0 2.907531-6-1.961059+0 2.908798-6-1.491725+0 2.909749-6-1.267428+0 2.913043-6-8.490734-1 2.913871-6-9.366507-1 2.914595-6-1.128245+0 2.915863-6-1.667741+0 2.916814-6-2.228288+0 2.917527-6-2.734608+0 2.918596-6-3.638647+0 2.919666-6-4.770815+0 2.921432-6-6.883498+0 2.923750-6-1.004296+1 2.925892-6-1.362099+1 2.931001-6-2.456856+1 2.933547-6-3.138697+1 2.936090-6-3.923642+1 2.936388-6-4.007069+1 2.940316-6-2.852546+1 2.941240-6-2.492940+1 2.947925-6-4.432113+0 2.948145-6-3.580720+0 2.948573-6-2.173020+0 2.949375-6 2.026001-1 2.950077-6 2.131138+0 2.955431-6 1.565344+1 2.957708-6 2.048164+1 2.962054-6 2.762876+1 2.965642-6 3.186242+1 2.969119-6 3.413905+1 2.974196-6 3.515293+1 2.981482-6 3.212826+1 2.989540-6 2.522352+1 2.999806-6 1.482576+1 3.007974-6 8.197759+0 3.009740-6 6.595445+0 3.011065-6 5.180746+0 3.012057-6 3.801349+0 3.013153-6 2.657862+0 3.014241-6 1.686134+0 3.016399-6 1.462327-2 3.018523-6-1.414587+0 3.020615-6-2.673884+0 3.022673-6-3.802356+0 3.024700-6-4.825046+0 3.028690-6-6.632207+0 3.036299-6-9.511787+0 3.046844-6-1.266207+1 3.062520-6-1.620629+1 3.082963-6-1.959004+1 3.111684-6-2.299054+1 3.167887-6-2.741267+1 3.240571-6-3.231143+1 3.279878-6-3.522989+1 3.298944-6-3.431607+1 3.332196-6-2.982116+1 3.346470-6-2.938395+1 3.379224-6-3.037210+1 3.426419-6-2.883700+1 3.496026-6-3.086879+1 3.660763-6-3.346435+1 4.168304-6-3.603219+1 4.565336-6-3.795524+1 4.656230-6-3.973798+1 4.692994-6-3.765918+1 4.736140-6-3.421611+1 4.772858-6-3.405391+1 4.861891-6-3.603971+1 5.057920-6-3.728549+1 5.153423-6-3.696094+1 5.295520-6-3.707884+1 5.390634-6-3.640301+1 5.610727-6-3.762577+1 6.028521-6-3.746682+1 1.297349-5-3.902941+1 1.877739-5-3.894095+1 2.312411-5-3.447811+1 2.522718-5-3.061644+1 2.635620-5-2.713465+1 2.718004-5-2.314191+1 2.770129-5-1.936246+1 2.805242-5-1.585864+1 2.827964-5-1.292878+1 2.846686-5-9.949399+0 2.862113-5-6.963551+0 2.871140-5-4.924799+0 2.879038-5-2.919648+0 2.885949-5-9.609059-1 2.891996-5 9.389843-1 2.897287-5 2.769058+0 2.901917-5 4.520040+0 2.909513-5 7.756269+0 2.912614-5 9.232322+0 2.918042-5 1.207965+1 2.925166-5 1.645967+1 2.932608-5 2.217691+1 2.941548-5 3.124247+1 2.947599-5 3.930633+1 2.950478-5 4.500437+1 2.952374-5 4.905400+1 2.965002-5 6.989002+1 2.973172-5 8.480337+1 2.982023-5 9.670492+1 2.989399-5 9.922635+1 2.995327-5 9.280272+1 3.000471-5 8.096477+1 3.006278-5 6.001474+1 3.008576-5 4.888633+1 3.013923-5 2.081336+1 3.015120-5 1.371977+1 3.015658-5 1.010096+1 3.015951-5 7.729105+0 3.016175-5 6.115880+0 3.016607-5 3.237781+0 3.017419-5-1.810368+0 3.021527-5-2.632441+1 3.023011-5-3.645178+1 3.023128-5-3.711576+1 3.024354-5-2.852070+1 3.026319-5-1.670240+1 3.028341-5-5.119081+0 3.029351-5 7.997101-1 3.029857-5 3.913817+0 3.030236-5 6.440388+0 3.030476-5 8.307653+0 3.031132-5 1.250567+1 3.032654-5 2.085866+1 3.038528-5 4.911079+1 3.041799-5 6.091080+1 3.046119-5 7.196880+1 3.050798-5 7.955664+1 3.056220-5 8.280893+1 3.059411-5 8.097297+1 3.065766-5 7.415629+1 3.073936-5 5.914732+1 3.083694-5 3.919206+1 3.092999-5 2.317744+1 3.095382-5 1.814875+1 3.096136-5 1.597699+1 3.097742-5 1.253588+1 3.099272-5 9.751510+0 3.102052-5 5.272304+0 3.122470-5-2.240079+1 3.126628-5-2.820891+1 3.134480-5-3.737625+1 3.147626-5-2.083640+1 3.152970-5-1.512752+1 3.154731-5-1.325469+1 3.157074-5-1.154309+1 3.162030-5-8.673402+0 3.163842-5-8.107995+0 3.165435-5-8.009172+0 3.166880-5-8.167300+0 3.169251-5-8.888813+0 3.171808-5-1.029005+1 3.174078-5-1.209680+1 3.176449-5-1.464874+1 3.180840-5-2.101985+1 3.184030-5-2.699355+1 3.188471-5-3.744190+1 3.191939-5-2.849685+1 3.193747-5-2.267305+1 3.198590-5-9.218265+0 3.199775-5-5.510788+0 3.199973-5-4.813693+0 3.200412-5-3.067175+0 3.200880-5-1.492214+0 3.207895-5 1.842917+1 3.209283-5 2.254418+1 3.210867-5 2.646037+1 3.216586-5 3.922969+1 3.221444-5 4.704449+1 3.226663-5 5.274838+1 3.232931-5 5.596223+1 3.237505-5 5.545530+1 3.245190-5 5.108377+1 3.252875-5 4.431875+1 3.263699-5 3.385834+1 3.274371-5 2.513288+1 3.278001-5 2.106627+1 3.283970-5 1.670626+1 3.290014-5 1.338326+1 3.298072-5 9.846939+0 3.306130-5 6.964876+0 3.314189-5 4.533618+0 3.322247-5 2.433245+0 3.330305-5 5.877325-1 3.338363-5-1.056834+0 3.346422-5-2.541182+0 3.354480-5-3.894879+0 3.370597-5-6.304234+0 3.394771-5-9.478481+0 3.427005-5-1.302686+1 3.452595-5-1.482131+1 3.532258-5-1.747698+1 3.595410-5-1.936723+1 3.647558-5-2.064957+1 4.035030-5-2.295087+1 5.016957-5-2.553616+1 5.672530-5-2.673064+1 8.570000-5-2.919386+1 1.540000-4-3.271802+1 1.803835-4-3.571889+1 1.893185-4-3.749393+1 1.990000-4-4.009120+1 2.090498-4-4.256328+1 2.220000-4-4.205694+1 2.650000-4-3.453881+1 2.958679-4-3.062259+1 3.126160-4-2.990754+1 3.172687-4-3.089144+1 3.211617-4-3.206512+1 3.231571-4-3.047662+1 3.261804-4-2.612427+1 3.280415-4-2.533111+1 3.337914-4-2.744675+1 3.366234-4-2.696739+1 3.408131-4-2.441982+1 3.456595-4-2.424960+1 3.927764-4-2.012817+1 4.170127-4-1.893126+1 4.244270-4-1.857470+1 4.372460-4-1.715237+1 4.731512-4-1.476844+1 5.263202-4-1.238228+1 5.814382-4-1.065306+1 6.561000-4-9.091325+0 7.504353-4-7.886249+0 8.640000-4-7.092103+0 1.002421-3-6.657421+0 1.168275-3-6.565873+0 1.425946-3-6.948265+0 1.652609-3-7.709879+0 1.848737-3-8.822926+0 1.980133-3-1.004166+1 2.073570-3-1.145610+1 2.132513-3-1.293833+1 2.164962-3-1.428717+1 2.189499-3-1.611474+1 2.213969-3-1.866654+1 2.228569-3-1.913257+1 2.249335-3-1.777026+1 2.271891-3-1.630936+1 2.312398-3-1.582650+1 2.332044-3-1.464598+1 2.361978-3-1.261610+1 2.395819-3-1.125802+1 2.440382-3-1.020500+1 2.479954-3-9.827751+0 2.509238-3-9.764824+0 2.530821-3-9.244338+0 2.567401-3-7.967077+0 2.616025-3-6.856939+0 2.696128-3-5.617654+0 2.786121-3-4.604059+0 2.898595-3-3.661856+0 3.005378-3-2.976321+0 3.149286-3-2.274425+0 3.294276-3-1.743397+0 3.423824-3-1.365160+0 3.565647-3-1.042640+0 3.752969-3-7.129984-1 3.876305-3-5.433385-1 4.027170-3-3.742722-1 4.160172-3-2.584541-1 4.298942-3-1.607856-1 4.453997-3-7.493715-2 4.470573-3-6.664346-2 4.590658-3-1.458166-2 4.610520-3-7.089022-3 4.628149-3-9.268440-4 4.686718-3 1.896538-2 4.711447-3 2.754146-2 4.758828-3 4.153340-2 4.812444-3 5.456442-2 4.954502-3 8.311620-2 5.103729-3 1.032307-1 5.230461-3 1.147081-1 5.464849-3 1.256652-1 5.596166-3 1.244658-1 5.766834-3 1.185741-1 5.961915-3 1.069663-1 6.165950-3 9.068539-2 6.389527-3 6.500477-2 6.583207-3 4.035834-2 6.852042-3 3.172674-3 6.874405-3 1.761543-4 6.958249-3-1.103769-2 7.028700-3-2.125558-2 7.486422-3-9.200480-2 1.189144-2-8.150898-1 1.333521-2-1.074816+0 1.466920-2-1.368607+0 1.566751-2-1.670014+0 1.635861-2-1.970363+0 1.685237-2-2.287807+0 1.718312-2-2.605225+0 1.744110-2-2.992351+0 1.759858-2-3.389252+0 1.776031-2-4.062536+0 1.788625-2-4.581205+0 1.797192-2-4.669955+0 1.806697-2-4.426774+0 1.830865-2-3.277900+0 1.843000-2-2.883524+0 1.857746-2-2.552237+0 1.883649-2-2.149574+0 1.917762-2-1.782332+0 1.958186-2-1.463621+0 2.000631-2-1.214141+0 2.046616-2-1.003829+0 2.099868-2-8.115098-1 2.168036-2-6.182838-1 2.248383-2-4.397793-1 2.316626-2-3.210738-1 2.377754-2-2.335636-1 2.432408-2-1.687692-1 2.494751-2-1.054240-1 2.542556-2-6.452541-2 2.615985-2-9.023109-3 2.629378-2-5.885428-4 2.691535-2 3.903801-2 2.766724-2 7.861701-2 2.833124-2 1.068141-1 2.893598-2 1.281039-1 2.970251-2 1.515729-1 3.111883-2 1.832453-1 3.279674-2 2.085990-1 3.446013-2 2.250595-1 3.712794-2 2.346432-1 4.057746-2 2.324384-1 4.746541-2 2.040115-1 6.292974-2 1.205851-1 6.964581-2 8.909988-2 7.672203-2 5.973499-2 8.273566-2 3.815485-2 8.612542-2 2.714890-2 9.145866-2 1.143980-2 9.369978-2 5.137415-3 9.558498-2 2.141741-4 9.612966-2-1.196652-3 9.828789-2-6.616769-3 1.002064-1-1.128589-2 1.045949-1-2.121106-2 1.103825-1-3.303012-2 1.185219-1-4.760708-2 1.295767-1-6.429703-2 1.438387-1-8.174132-2 1.638208-1-1.004211-1 1.934048-1-1.199616-1 2.371374-1-1.383436-1 3.021582-1-1.538784-1 4.278091-1-1.678422-1 6.998420-1-1.775191-1 1.859734+0-1.826562-1 5.616308+0-1.834075-1 1.000000+1-1.834121-1 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.691701-2 1.119209-6 4.590105-2 1.154185-6 5.334607-2 1.190253-6 6.217554-2 1.227448-6 7.268316-2 1.265806-6 8.523487-2 1.305363-6 1.002842-1 1.344729-6 1.177209-1 1.382865-6 1.373367-1 1.419809-6 1.593115-1 1.455599-6 1.838297-1 1.490271-6 2.110839-1 1.556397-6 2.741537-1 1.587918-6 3.101948-1 1.618455-6 3.497334-1 1.648037-6 3.930446-1 1.676695-6 4.403770-1 1.704457-6 4.919895-1 1.731351-6 5.481515-1 1.757405-6 6.091433-1 1.782645-6 6.752560-1 1.807097-6 7.467921-1 1.830784-6 8.240656-1 1.853731-6 9.074023-1 1.875960-6 9.971542-1 1.920000-6 1.205632+0 1.958146-6 1.425325+0 1.995487-6 1.686263+0 2.030531-6 1.983531+0 2.048000-6 2.155206+0 2.063418-6 2.322330+0 2.094772-6 2.711234+0 2.124167-6 3.147283+0 2.151724-6 3.636376+0 2.177559-6 4.183049+0 2.201779-6 4.791867+0 2.224486-6 5.467518+0 2.245773-6 6.214791+0 2.265730-6 7.038542+0 2.284440-6 7.943670+0 2.301980-6 8.935073+0 2.318424-6 1.001762+1 2.333840-6 1.119614+1 2.348293-6 1.247549+1 2.361842-6 1.386049+1 2.374545-6 1.535539+1 2.386454-6 1.696335+1 2.400000-6 1.908605+1 2.408085-6 2.053080+1 2.417897-6 2.249775+1 2.427096-6 2.459162+1 2.435720-6 2.681527+1 2.443806-6 2.917104+1 2.451386-6 3.166098+1 2.458492-6 3.428679+1 2.465154-6 3.704975+1 2.471399-6 3.995071+1 2.477255-6 4.299020+1 2.482744-6 4.616879+1 2.487890-6 4.948746+1 2.497539-6 5.680667+1 2.505982-6 6.475791+1 2.513370-6 7.336702+1 2.519834-6 8.263538+1 2.525490-6 9.251368+1 2.530440-6 1.028909+2 2.534770-6 1.136030+2 2.538559-6 1.244545+2 2.541875-6 1.352443+2 2.544776-6 1.457871+2 2.549853-6 1.669789+2 2.558658-6 2.129850+2 2.567254-6 2.698989+2 2.571397-6 3.012988+2 2.576133-6 3.397517+2 2.577711-6 3.530458+2 2.584025-6 4.075629+2 2.585603-6 4.212993+2 2.591127-6 4.685941+2 2.592509-6 4.800492+2 2.596652-6 5.129911+2 2.600197-6 5.390178+2 2.601889-6 5.506072+2 2.604427-6 5.668911+2 2.606965-6 5.818033+2 2.610740-6 6.014494+2 2.615593-6 6.226977+2 2.622301-6 6.472778+2 2.629651-6 6.752402+2 2.633727-6 6.954934+2 2.636963-6 7.159667+2 2.641378-6 7.523951+2 2.644568-6 7.861536+2 2.649061-6 8.459363+2 2.651841-6 8.906223+2 2.655564-6 9.599079+2 2.658203-6 1.015389+3 2.666762-6 1.226676+3 2.672060-6 1.373604+3 2.676307-6 1.493753+3 2.679922-6 1.593690+3 2.683422-6 1.685192+3 2.685437-6 1.734364+3 2.689137-6 1.815908+3 2.691522-6 1.861328+3 2.695154-6 1.917874+3 2.698229-6 1.952529+3 2.701930-6 1.976833+3 2.704549-6 1.982077+3 2.710021-6 1.960771+3 2.712607-6 1.935919+3 2.716094-6 1.888331+3 2.719086-6 1.835637+3 2.721422-6 1.787675+3 2.724759-6 1.710039+3 2.728246-6 1.619418+3 2.732289-6 1.505145+3 2.735528-6 1.408827+3 2.738767-6 1.310203+3 2.742006-6 1.210946+3 2.745650-6 1.100410+3 2.749524-6 9.862307+2 2.752641-6 8.980460+2 2.755901-6 8.103105+2 2.760300-6 7.002212+2 2.764288-6 6.095060+2 2.769248-6 5.092772+2 2.771615-6 4.664128+2 2.787141-6 2.591731+2 2.791401-6 2.220195+2 2.796513-6 1.865782+2 2.798217-6 1.767518+2 2.800773-6 1.636979+2 2.803329-6 1.525167+2 2.805033-6 1.460218+2 2.807589-6 1.376004+2 2.810145-6 1.306275+2 2.811849-6 1.267101+2 2.814405-6 1.218247+2 2.816962-6 1.180053+2 2.818666-6 1.159857+2 2.821222-6 1.136514+2 2.823778-6 1.120427+2 2.827186-6 1.108252+2 2.830594-6 1.104310+2 2.836664-6 1.110372+2 2.848060-6 1.133528+2 2.852746-6 1.137544+2 2.857965-6 1.134245+2 2.861320-6 1.127194+2 2.864675-6 1.116189+2 2.869787-6 1.092163+2 2.871491-6 1.082369+2 2.876603-6 1.048420+2 2.878307-6 1.035804+2 2.885123-6 9.807410+1 2.891939-6 9.216578+1 2.907595-6 7.895666+1 2.919811-6 7.006159+1 2.961695-6 4.745516+1 2.980667-6 3.982594+1 2.990610-6 3.648201+1 3.000398-6 3.361800+1 3.010033-6 3.117224+1 3.019518-6 2.907505+1 3.028854-6 2.726081+1 3.047236-6 2.425075+1 3.065042-6 2.186134+1 3.082293-6 1.990951+1 3.099004-6 1.828431+1 3.115193-6 1.691185+1 3.130876-6 1.573936+1 3.146069-6 1.472700+1 3.175505-6 1.304192+1 3.203102-6 1.172222+1 3.228974-6 1.066613+1 3.253228-6 9.806237+0 3.275967-6 9.095832+0 3.297285-6 8.501150+0 3.337256-6 7.533007+0 3.372230-6 6.811131+0 3.402833-6 6.260814+0 3.456387-6 5.436612+0 3.496553-6 4.911911+0 3.679371-6 3.172647+0 3.750595-6 2.677892+0 3.803441-6 2.351257+0 3.840027-6 2.140231+0 3.877648-6 1.932707+0 3.905865-6 1.781756+0 3.934081-6 1.633765+0 3.962297-6 1.487802+0 3.981108-6 1.391125+0 3.999919-6 1.294555+0 4.009324-6 1.246190+0 4.033229-6 1.122576+0 4.054145-6 1.012991+0 4.072447-6 9.154426-1 4.088461-6 8.284394-1 4.102473-6 7.508359-1 4.114734-6 6.817179-1 4.125462-6 6.203302-1 4.134849-6 5.660273-1 4.151276-6 4.704566-1 4.163597-6 3.998520-1 4.172837-6 3.491514-1 4.184965-6 2.890647-1 4.192762-6 2.572451-1 4.200559-6 2.340028-1 4.203838-6 2.276922-1 4.208188-6 2.233317-1 4.211450-6 2.235932-1 4.216343-6 2.307899-1 4.218790-6 2.379390-1 4.221237-6 2.477895-1 4.222785-6 2.555420-1 4.224333-6 2.645597-1 4.232706-6 3.386852-1 4.234799-6 3.649386-1 4.236369-6 3.869479-1 4.239901-6 4.443259-1 4.244141-6 5.290370-1 4.255574-6 8.604874-1 4.261001-6 1.080044+0 4.266406-6 1.344577+0 4.269650-6 1.526788+0 4.274654-6 1.844165+0 4.279129-6 2.166259+0 4.284134-6 2.569416+0 4.287660-6 2.880322+0 4.291621-6 3.254998+0 4.295627-6 3.659651+0 4.299537-6 4.077119+0 4.302944-6 4.456946+0 4.306689-6 4.888817+0 4.310548-6 5.346200+0 4.314289-6 5.797490+0 4.318246-6 6.278743+0 4.322411-6 6.783849+0 4.326758-6 7.302756+0 4.328680-6 7.527526+0 4.334355-6 8.166916+0 4.338870-6 8.641457+0 4.340972-6 8.849556+0 4.346055-6 9.313834+0 4.349430-6 9.587916+0 4.359503-6 1.021912+1 4.361371-6 1.030286+1 4.369901-6 1.054435+1 4.373475-6 1.057599+1 4.376887-6 1.056816+1 4.381771-6 1.049388+1 4.386947-6 1.033777+1 4.389061-6 1.025241+1 4.392760-6 1.007483+1 4.395534-6 9.919541+0 4.399696-6 9.654205+0 4.403857-6 9.354222+0 4.409674-6 8.886405+0 4.411613-6 8.720055+0 4.418852-6 8.065118+0 4.422060-6 7.762804+0 4.428726-6 7.124006+0 4.432508-6 6.761186+0 4.439398-6 6.111939+0 4.449702-6 5.201813+0 4.461199-6 4.319984+0 4.470677-6 3.725987+0 4.475813-6 3.458612+0 4.479882-6 3.274386+0 4.483951-6 3.114278+0 4.486663-6 3.020680+0 4.490732-6 2.899418+0 4.494801-6 2.800233+0 4.497513-6 2.745788+0 4.502260-6 2.671601+0 4.506405-6 2.627138+0 4.508490-6 2.611355+0 4.512495-6 2.592281+0 4.516500-6 2.586519+0 4.521925-6 2.596685+0 4.527350-6 2.623306+0 4.538199-6 2.707597+0 4.551762-6 2.827480+0 4.559899-6 2.885629+0 4.562611-6 2.900619+0 4.570749-6 2.929006+0 4.576174-6 2.932500+0 4.580242-6 2.926483+0 4.586345-6 2.903400+0 4.592448-6 2.863834+0 4.597873-6 2.815646+0 4.603298-6 2.756309+0 4.614148-6 2.609619+0 4.624997-6 2.435788+0 4.635602-6 2.251521+0 4.646502-6 2.058159+0 4.656667-6 1.881804+0 4.674714-6 1.592075+0 4.688021-6 1.402704+0 4.711308-6 1.118610+0 4.746238-6 7.731459-1 4.763703-6 6.266146-1 4.781168-6 5.016968-1 4.787052-6 4.665204-1 4.792936-6 4.359029-1 4.798820-6 4.106255-1 4.804704-6 3.915335-1 4.812399-6 3.773743-1 4.816472-6 3.754558-1 4.821056-6 3.783745-1 4.828241-6 3.946480-1 4.837521-6 4.385993-1 4.839338-6 4.503915-1 4.844789-6 4.922084-1 4.849824-6 5.394847-1 4.860827-6 6.712126-1 4.871199-6 8.284075-1 4.877745-6 9.415689-1 4.881672-6 1.013641+0 4.885967-6 1.095283+0 4.891603-6 1.205682+0 4.897491-6 1.323046+0 4.900726-6 1.387590+0 4.907292-6 1.516761+0 4.913037-6 1.625570+0 4.915607-6 1.672343+0 4.921730-6 1.777547+0 4.926323-6 1.849499+0 4.928781-6 1.885178+0 4.942695-6 2.042928+0 4.947471-6 2.077644+0 4.956590-6 2.113866+0 4.961669-6 2.116667+0 4.964567-6 2.112753+0 4.969638-6 2.096519+0 4.973442-6 2.076795+0 4.979148-6 2.035840+0 4.984854-6 1.982441+0 4.988403-6 1.943630+0 4.993728-6 1.878461+0 4.999052-6 1.806317+0 5.004985-6 1.719679+0 5.010919-6 1.628653+0 5.018838-6 1.504195+0 5.025663-6 1.397769+0 5.044346-6 1.133168+0 5.053607-6 1.026245+0 5.056143-6 1.000425+0 5.063752-6 9.324650-1 5.067390-6 9.051150-1 5.072846-6 8.703441-1 5.078302-6 8.429792-1 5.082070-6 8.282941-1 5.087721-6 8.124752-1 5.090547-6 8.072504-1 5.093373-6 8.037408-1 5.099641-6 8.017729-1 5.105910-6 8.072552-1 5.127861-6 8.748341-1 5.144570-6 9.628981-1 5.161279-6 1.067714+0 5.169376-6 1.120058+0 5.180003-6 1.185950+0 5.187328-6 1.227195+0 5.193667-6 1.258676+0 5.208891-6 1.312044+0 5.223124-6 1.325410+0 5.226245-6 1.322986+0 5.235610-6 1.303851+0 5.238438-6 1.294637+0 5.243386-6 1.274861+0 5.250809-6 1.237124+0 5.258659-6 1.188201+0 5.266548-6 1.131997+0 5.269320-6 1.111087+0 5.282226-6 1.010714+0 5.294127-6 9.224376-1 5.306067-6 8.483793-1 5.310201-6 8.276474-1 5.314335-6 8.098704-1 5.323651-6 7.815202-1 5.326394-6 7.763864-1 5.333851-6 7.698801-1 5.337563-6 7.706119-1 5.340811-6 7.733239-1 5.346495-6 7.824460-1 5.350758-6 7.926412-1 5.353955-6 8.019761-1 5.361149-6 8.274772-1 5.375773-6 8.920418-1 5.387561-6 9.476486-1 5.401852-6 1.007552+0 5.405729-6 1.021071+0 5.417360-6 1.052392+0 5.423070-6 1.062234+0 5.428067-6 1.067762+0 5.436811-6 1.070708+0 5.443370-6 1.067702+0 5.453398-6 1.055763+0 5.463044-6 1.037883+0 5.504022-6 9.462601-1 5.514484-6 9.301480-1 5.524362-6 9.198919-1 5.533838-6 9.145733-1 5.541441-6 9.132166-1 5.553891-6 9.155210-1 5.594745-6 9.382633-1 5.605606-6 9.425314-1 5.622235-6 9.449448-1 5.639081-6 9.421878-1 5.655671-6 9.352361-1 5.688718-6 9.143500-1 5.722405-6 8.926708-1 5.748745-6 8.815262-1 5.767570-6 8.784598-1 5.789928-6 8.803565-1 5.816118-6 8.886954-1 5.914815-6 9.348825-1 5.983274-6 9.620393-1 6.203082-6 1.040393+0 6.422716-6 1.131563+0 6.624994-6 1.231145+0 6.728510-6 1.287258+0 7.000000-6 1.452694+0 7.379225-6 1.720993+0 8.659644-6 2.921468+0 9.332543-6 3.722734+0 1.023293-5 4.985107+0 1.150000-5 7.113931+0 1.288250-5 9.925854+0 1.428894-5 1.326668+1 1.536000-5 1.606595+1 1.622488-5 1.842416+1 1.698244-5 2.050899+1 1.745632-5 2.180255+1 1.835127-5 2.419028+1 1.893712-5 2.605099+1 1.972423-5 2.883376+1 2.052894-5 3.201123+1 2.106473-5 3.435265+1 2.161320-5 3.698465+1 2.215584-5 3.984343+1 2.273965-5 4.330204+1 2.330000-5 4.703841+1 2.388305-5 5.148667+1 2.441567-5 5.618965+1 2.495302-5 6.167054+1 2.540973-5 6.711919+1 2.593531-5 7.451289+1 2.628660-5 8.031616+1 2.663448-5 8.698538+1 2.692566-5 9.341300+1 2.735443-5 1.045318+2 2.762259-5 1.127706+2 2.790837-5 1.229999+2 2.818383-5 1.345137+2 2.835775-5 1.428064+2 2.853781-5 1.524154+2 2.878256-5 1.674703+2 2.891408-5 1.766912+2 2.909476-5 1.909251+2 2.926709-5 2.065151+2 2.939481-5 2.195947+2 2.953545-5 2.357949+2 2.966730-5 2.530109+2 2.979092-5 2.712690+2 2.990680-5 2.905892+2 3.005434-5 3.189143+2 3.011730-5 3.325071+2 3.021279-5 3.551601+2 3.030231-5 3.789799+2 3.038623-5 4.039900+2 3.046491-5 4.302091+2 3.053867-5 4.576519+2 3.060782-5 4.863294+2 3.067265-5 5.162520+2 3.073343-5 5.474307+2 3.079041-5 5.798800+2 3.085175-5 6.189323+2 3.094399-5 6.876346+2 3.103162-5 7.675412+2 3.110831-5 8.535329+2 3.117559-5 9.458287+2 3.123412-5 1.043099+3 3.128549-5 1.145226+3 3.133044-5 1.250556+3 3.136977-5 1.357452+3 3.140419-5 1.464198+3 3.146442-5 1.686239+3 3.150959-5 1.887584+3 3.154346-5 2.061434+3 3.156887-5 2.206113+3 3.162604-5 2.581565+3 3.172299-5 3.400350+3 3.183278-5 4.647620+3 3.187877-5 5.277867+3 3.195666-5 6.485444+3 3.198948-5 7.042255+3 3.206783-5 8.461475+3 3.207763-5 8.645629+3 3.214619-5 9.954699+3 3.217312-5 1.047020+4 3.219883-5 1.095738+4 3.223700-5 1.166395+4 3.227117-5 1.227012+4 3.230656-5 1.286167+4 3.233408-5 1.328994+4 3.237342-5 1.384374+4 3.240977-5 1.428481+4 3.245264-5 1.470533+4 3.248402-5 1.493824+4 3.252278-5 1.513229+4 3.256267-5 1.521927+4 3.260357-5 1.518718+4 3.262229-5 1.513157+4 3.269907-5 1.464304+4 3.272877-5 1.434809+4 3.274405-5 1.417520+4 3.279549-5 1.349663+4 3.282607-5 1.303037+4 3.285963-5 1.247357+4 3.288532-5 1.202030+4 3.292203-5 1.134023+4 3.295153-5 1.077307+4 3.298865-5 1.004294+4 3.300806-5 9.657074+3 3.304724-5 8.877728+3 3.308641-5 8.106913+3 3.313049-5 7.262643+3 3.317430-5 6.459069+3 3.320290-5 5.958398+3 3.324312-5 5.291169+3 3.327128-5 4.851615+3 3.330341-5 4.379307+3 3.335162-5 3.731392+3 3.339982-5 3.156888+3 3.345574-5 2.580917+3 3.350264-5 2.169548+3 3.384310-5 8.038403+2 3.385425-5 7.993922+2 3.387091-5 7.969341+2 3.388392-5 7.984677+2 3.389794-5 8.034807+2 3.391589-5 8.149413+2 3.394722-5 8.483313+2 3.397455-5 8.911464+2 3.398993-5 9.207422+2 3.400970-5 9.645362+2 3.409560-5 1.227094+3 3.419981-5 1.688168+3 3.425399-5 1.978641+3 3.429704-5 2.227961+3 3.433342-5 2.448046+3 3.437328-5 2.695362+3 3.441225-5 2.939452+3 3.445249-5 3.189530+3 3.448846-5 3.407516+3 3.451336-5 3.553606+3 3.456239-5 3.824783+3 3.460196-5 4.023325+3 3.465167-5 4.240600+3 3.467996-5 4.346017+3 3.476200-5 4.566531+3 3.479305-5 4.614654+3 3.483029-5 4.645871+3 3.486541-5 4.648855+3 3.490106-5 4.626138+3 3.494359-5 4.566508+3 3.498454-5 4.477856+3 3.501156-5 4.403997+3 3.504701-5 4.290339+3 3.509260-5 4.119873+3 3.513465-5 3.942683+3 3.517669-5 3.750806+3 3.519787-5 3.649978+3 3.524552-5 3.416293+3 3.526140-5 3.337071+3 3.534250-5 2.931567+3 3.535868-5 2.851804+3 3.547192-5 2.322161+3 3.557700-5 1.896346+3 3.568208-5 1.546893+3 3.572813-5 1.417926+3 3.577178-5 1.308547+3 3.581543-5 1.210934+3 3.585907-5 1.124229+3 3.590437-5 1.044790+3 3.594032-5 9.887062+2 3.599671-5 9.117624+2 3.605310-5 8.466106+2 3.611782-5 7.840617+2 3.618254-5 7.322922+2 3.627138-5 6.750896+2 3.636022-5 6.301136+2 3.644906-5 5.941469+2 3.653790-5 5.648221+2 3.662674-5 5.404179+2 3.676184-5 5.100166+2 3.689733-5 4.850213+2 3.714525-5 4.470649+2 3.777931-5 3.665882+2 3.796188-5 3.481458+2 3.805578-5 3.399712+2 3.814373-5 3.332085+2 3.823337-5 3.272349+2 3.838392-5 3.192514+2 3.850936-5 3.143868+2 3.866920-5 3.100879+2 3.891044-5 3.062207+2 3.934664-5 3.012349+2 3.969904-5 2.952405+2 4.040777-5 2.813774+2 4.209631-5 2.557019+2 4.332684-5 2.406102+2 4.445291-5 2.290981+2 4.572839-5 2.176614+2 4.779418-5 2.020335+2 5.152187-5 1.795239+2 5.663761-5 1.555090+2 5.774740-5 1.507455+2 5.944421-5 1.429431+2 5.973866-5 1.421337+2 6.025596-5 1.417773+2 6.074913-5 1.417169+2 6.122354-5 1.407058+2 6.237064-5 1.365229+2 6.703814-5 1.250099+2 8.150000-5 1.051432+2 9.660509-5 9.215277+1 1.011579-4 8.882244+1 1.083927-4 8.380267+1 1.218274-4 7.498979+1 1.290801-4 7.023837+1 1.340763-4 6.702738+1 1.413201-4 6.349476+1 1.496236-4 5.920538+1 1.584277-4 5.419977+1 1.641588-4 5.062012+1 1.701200-4 4.657189+1 1.750000-4 4.304484+1 1.803029-4 3.896884+1 1.839245-4 3.599434+1 1.882211-4 3.228234+1 1.920002-4 2.884980+1 1.949845-4 2.601689+1 1.973922-4 2.364145+1 2.001490-4 2.082354+1 2.034934-4 1.732683+1 2.057687-4 1.507908+1 2.067717-4 1.416471+1 2.084423-4 1.271155+1 2.096061-4 1.171730+1 2.104137-4 1.103562+1 2.131985-4 8.893581+0 2.139750-4 8.395264+0 2.154205-4 7.614742+0 2.168152-4 7.055690+0 2.173523-4 6.895944+0 2.178975-4 6.769412+0 2.184123-4 6.686637+0 2.188016-4 6.650475+0 2.196958-4 6.667176+0 2.199539-4 6.701207+0 2.204000-4 6.794855+0 2.210048-4 6.999018+0 2.214696-4 7.222546+0 2.219957-4 7.552026+0 2.225000-4 7.950138+0 2.228424-4 8.269367+0 2.233589-4 8.829858+0 2.238721-4 9.485712+0 2.244988-4 1.042706+1 2.251844-4 1.164193+1 2.257564-4 1.280828+1 2.274995-4 1.723886+1 2.283995-4 2.003938+1 2.292495-4 2.299126+1 2.299995-4 2.583077+1 2.310997-4 3.036390+1 2.315998-4 3.255652+1 2.321000-4 3.482491+1 2.336000-4 4.202615+1 2.340111-4 4.409085+1 2.355055-4 5.186455+1 2.371500-4 6.080039+1 2.392000-4 7.231859+1 2.412500-4 8.410352+1 2.435000-4 9.722568+1 2.457500-4 1.104605+2 2.481500-4 1.246189+2 2.502500-4 1.369617+2 2.510144-4 1.414283+2 2.530000-4 1.529221+2 2.552987-4 1.659312+2 2.577500-4 1.793073+2 2.601095-4 1.915927+2 2.632500-4 2.070080+2 2.660725-4 2.199561+2 2.691535-4 2.331204+2 2.730000-4 2.482460+2 2.786121-4 2.682985+2 2.827677-4 2.820592+2 2.892957-4 3.024536+2 2.949120-4 3.191078+2 3.002618-4 3.342718+2 3.084063-4 3.558493+2 3.144127-4 3.701780+2 3.226999-4 3.873927+2 3.289499-4 3.980796+2 3.350128-4 4.065699+2 3.401876-4 4.124193+2 3.450485-4 4.300941+2 3.468685-4 4.496989+2 3.477120-4 4.621654+2 3.495022-4 4.935625+2 3.512401-4 5.234908+2 3.520464-4 5.342567+2 3.528737-4 5.419187+2 3.536022-4 5.453716+2 3.545812-4 5.450439+2 3.554957-4 5.401618+2 3.573080-4 5.224713+2 3.587076-4 5.079014+2 3.595947-4 5.008033+2 3.604872-4 4.963286+2 3.620019-4 4.957223+2 3.635337-4 5.033330+2 3.645355-4 5.115311+2 3.675762-4 5.398279+2 3.685295-4 5.465099+2 3.696338-4 5.516383+2 3.705203-4 5.536153+2 3.716242-4 5.537134+2 3.752200-4 5.459226+2 3.767469-4 5.439428+2 3.785611-4 5.446426+2 3.829073-4 5.555052+2 3.877511-4 5.701523+2 3.949375-4 5.880606+2 4.034197-4 6.048470+2 4.131971-4 6.201339+2 4.236587-4 6.332367+2 4.355535-4 6.452814+2 4.429871-4 6.512109+2 4.467544-4 6.557158+2 4.499866-4 6.614135+2 4.656701-4 6.985825+2 4.717911-4 7.100876+2 4.803329-4 7.220592+2 4.954168-4 7.391998+2 5.103954-4 7.525481+2 5.370318-4 7.716061+2 5.760000-4 7.922369+2 6.139297-4 8.063307+2 6.484478-4 8.155159+2 6.968882-4 8.215355+2 7.498942-4 8.242561+2 8.222426-4 8.238399+2 8.922168-4 8.197715+2 9.765781-4 8.109814+2 1.136339-3 7.832903+2 1.260815-3 7.603009+2 1.323171-3 7.475648+2 1.462787-3 7.146225+2 1.539926-3 6.962672+2 1.614454-3 6.779549+2 1.701914-3 6.545113+2 1.782122-3 6.309816+2 1.858814-3 6.072666+2 1.920998-3 5.867529+2 1.981051-3 5.652827+2 2.035503-3 5.435457+2 2.081559-3 5.230146+2 2.121751-3 5.031842+2 2.156636-3 4.840518+2 2.188670-3 4.643877+2 2.216947-3 4.446983+2 2.240254-3 4.261753+2 2.253151-3 4.146829+2 2.271376-3 3.963188+2 2.286696-3 3.782641+2 2.299585-3 3.607514+2 2.306557-3 3.504116+2 2.332383-3 3.117464+2 2.340768-3 3.022850+2 2.346729-3 2.976031+2 2.351997-3 2.951610+2 2.357688-3 2.944380+2 2.363379-3 2.957003+2 2.369181-3 2.988916+2 2.374908-3 3.036776+2 2.383447-3 3.131305+2 2.410036-3 3.493880+2 2.426610-3 3.709765+2 2.455218-3 4.082967+2 2.486391-3 4.560164+2 2.502516-3 4.807709+2 2.513121-3 4.956927+2 2.521593-3 5.065120+2 2.532348-3 5.186869+2 2.543397-3 5.293900+2 2.557207-3 5.404306+2 2.573351-3 5.505595+2 2.590549-3 5.586063+2 2.607281-3 5.640827+2 2.644295-3 5.722285+2 2.654733-3 5.757811+2 2.664942-3 5.808133+2 2.681427-3 5.926035+2 2.714174-3 6.235773+2 2.728421-3 6.363035+2 2.741605-3 6.465073+2 2.757241-3 6.566379+2 2.776177-3 6.666267+2 2.794987-3 6.748484+2 2.823576-3 6.852897+2 2.848594-3 6.929649+2 2.910544-3 7.079077+2 2.981340-3 7.200282+2 3.067035-3 7.296706+2 3.180375-3 7.361098+2 3.291541-3 7.383256+2 3.454891-3 7.356664+2 3.643288-3 7.281118+2 3.836847-3 7.166914+2 4.150735-3 6.937745+2 4.474816-3 6.675750+2 4.915200-3 6.309110+2 5.319476-3 5.981197+2 5.885359-3 5.547113+2 6.518266-3 5.106130+2 7.397117-3 4.569441+2 8.172703-3 4.160957+2 9.092746-3 3.738189+2 9.881640-3 3.418199+2 1.068124-2 3.128145+2 1.159379-2 2.832443+2 1.253264-2 2.560899+2 1.351538-2 2.306894+2 1.401148-2 2.189068+2 1.455935-2 2.065960+2 1.546250-2 1.876237+2 1.618356-2 1.734037+2 1.675698-2 1.623808+2 1.723607-2 1.530908+2 1.761328-2 1.454555+2 1.789617-2 1.392691+2 1.802593-2 1.361869+2 1.814470-2 1.331452+2 1.824088-2 1.304503+2 1.832891-2 1.277163+2 1.840491-2 1.250779+2 1.850316-2 1.212110+2 1.865434-2 1.144973+2 1.876042-2 1.101160+2 1.882955-2 1.080174+2 1.888643-2 1.069932+2 1.894860-2 1.067228+2 1.898382-2 1.069696+2 1.902902-2 1.076789+2 1.909170-2 1.092724+2 1.922172-2 1.138347+2 1.934385-2 1.181359+2 1.942885-2 1.205801+2 1.952734-2 1.227464+2 1.963553-2 1.244359+2 1.972583-2 1.254433+2 1.990447-2 1.267430+2 2.015746-2 1.276509+2 2.044247-2 1.279132+2 2.094778-2 1.271938+2 2.153401-2 1.253084+2 2.218382-2 1.225534+2 2.325433-2 1.174041+2 2.455754-2 1.108598+2 2.589580-2 1.042406+2 2.803275-2 9.438000+1 3.085851-2 8.303661+1 3.387678-2 7.281490+1 3.734446-2 6.308624+1 4.064932-2 5.531714+1 4.782859-2 4.251223+1 5.287497-2 3.598822+1 5.945434-2 2.941600+1 8.362646-2 1.609075+1 1.086904-1 1.005972+1 1.325978-1 6.994765+0 1.657201-1 4.614480+0 2.091678-1 2.965750+0 2.798498-1 1.693134+0 4.046050-1 8.258354-1 6.060382-1 3.730198-1 9.925014-1 1.402273-1 2.451607+0 2.308916-2 7.403736+0 2.533833-3 2.235892+1 2.778555-4 6.752287+1 3.046656-5 2.039158+2 3.340596-6 6.158159+2 3.662891-7 1.995262+3 3.489200-8 6.309573+3 3.489200-9 1.995262+4 3.48920-10 6.309573+4 3.48920-11 1.000000+5 1.38908-11 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.474900-6 1.258900-6 2.337600-6 1.584900-6 3.704900-6 1.995300-6 5.871800-6 2.511900-6 9.306200-6 3.162300-6 1.474900-5 3.981100-6 2.337600-5 5.011900-6 3.704800-5 6.309600-6 5.871700-5 7.943300-6 9.305900-5 1.000000-5 1.474900-4 1.258900-5 2.337500-4 1.584900-5 3.703300-4 1.995300-5 5.866400-4 2.511900-5 9.293900-4 3.162300-5 1.472500-3 3.981100-5 2.333200-3 5.011900-5 3.697200-3 6.309600-5 5.858700-3 7.943300-5 9.272300-3 1.000000-4 1.467000-2 1.258900-4 2.320600-2 1.584900-4 3.663400-2 1.995300-4 5.775200-2 2.511900-4 9.074800-2 3.162300-4 1.418600-1 3.981100-4 2.200400-1 5.011900-4 3.366600-1 6.309600-4 5.058400-1 7.943300-4 7.417000-1 1.000000-3 1.055800+0 1.258900-3 1.454600+0 1.584900-3 1.945400+0 1.995300-3 2.543900+0 2.511900-3 3.270300+0 3.162300-3 4.140900+0 3.981100-3 5.166900+0 5.011900-3 6.359300+0 6.309600-3 7.699000+0 7.943300-3 9.133100+0 1.000000-2 1.059100+1 1.258900-2 1.206900+1 1.584900-2 1.355400+1 1.995300-2 1.498800+1 2.511900-2 1.628400+1 3.162300-2 1.736600+1 3.981100-2 1.819500+1 5.011900-2 1.872400+1 6.309600-2 1.892500+1 7.943300-2 1.881200+1 1.000000-1 1.842900+1 1.258900-1 1.781500+1 1.584900-1 1.701300+1 1.995300-1 1.606800+1 2.511900-1 1.502400+1 3.162300-1 1.393000+1 3.981100-1 1.282000+1 5.011900-1 1.172100+1 6.309600-1 1.064700+1 7.943300-1 9.611400+0 1.000000+0 8.626200+0 1.258900+0 7.692000+0 1.584900+0 6.815500+0 1.995300+0 6.000500+0 2.511900+0 5.249500+0 3.162300+0 4.564300+0 3.981100+0 3.945200+0 5.011900+0 3.390900+0 6.309600+0 2.899600+0 7.943300+0 2.467400+0 1.000000+1 2.090400+0 1.258900+1 1.763900+0 1.584900+1 1.482900+0 1.995300+1 1.242600+0 2.511900+1 1.038100+0 3.162300+1 8.649200-1 3.981100+1 7.188600-1 5.011900+1 5.961500-1 6.309600+1 4.933900-1 7.943300+1 4.076100-1 1.000000+2 3.361800-1 1.258900+2 2.768500-1 1.584900+2 2.276800-1 1.995300+2 1.870000-1 2.511900+2 1.534100-1 3.162300+2 1.257200-1 3.981100+2 1.029200-1 5.011900+2 8.417500-2 6.309600+2 6.878600-2 7.943300+2 5.616400-2 1.000000+3 4.582300-2 1.258900+3 3.735900-2 1.584900+3 3.043800-2 1.995300+3 2.478300-2 2.511900+3 2.016600-2 3.162300+3 1.640000-2 3.981100+3 1.333000-2 5.011900+3 1.082900-2 6.309600+3 8.792600-3 7.943300+3 7.135900-3 1.000000+4 5.788600-3 1.258900+4 4.693700-3 1.584900+4 3.804300-3 1.995300+4 3.082200-3 2.511900+4 2.496200-3 3.162300+4 2.020900-3 3.981100+4 1.635400-3 5.011900+4 1.323100-3 6.309600+4 1.070000-3 7.943300+4 8.650800-4 1.000000+5 6.991800-4 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510164-4 3.162278-4 3.159553-4 3.981072-4 3.976756-4 5.011872-4 5.005082-4 6.309573-4 6.298888-4 7.943282-4 7.926481-4 1.000000-3 9.973724-4 1.258925-3 1.254827-3 1.584893-3 1.578505-3 1.995262-3 1.985306-3 2.511886-3 2.496319-3 3.162278-3 3.137915-3 3.981072-3 3.942944-3 5.011872-3 4.952223-3 6.309573-3 6.216311-3 7.943282-3 7.798500-3 1.000000-2 9.775738-3 1.258925-2 1.224225-2 1.584893-2 1.531244-2 1.995262-2 1.912520-2 2.511886-2 2.384875-2 3.162278-2 2.968450-2 3.981072-2 3.686902-2 5.011872-2 4.568403-2 6.309573-2 5.645444-2 7.943282-2 6.956897-2 1.000000-1 8.545681-2 1.258925-1 1.046241-1 1.584893-1 1.276546-1 1.995262-1 1.552304-1 2.511886-1 1.881351-1 3.162278-1 2.272626-1 3.981072-1 2.736131-1 5.011872-1 3.283859-1 6.309573-1 3.929870-1 7.943282-1 4.690815-1 1.000000+0 5.584322-1 1.258925+0 6.637656-1 1.584893+0 7.881325-1 1.995262+0 9.352281-1 2.511886+0 1.109751+0 3.162278+0 1.317472+0 3.981072+0 1.565443+0 5.011872+0 1.862184+0 6.309573+0 2.218384+0 7.943282+0 2.646884+0 1.000000+1 3.163497+0 1.258925+1 3.787530+0 1.584893+1 4.542658+0 1.995262+1 5.457847+0 2.511886+1 6.568670+0 3.162278+1 7.918585+0 3.981072+1 9.561122+0 5.011872+1 1.156180+1 6.309573+1 1.400142+1 7.943282+1 1.697904+1 1.000000+2 2.061639+1 1.258925+2 2.506360+1 1.584893+2 3.050525+1 1.995262+2 3.716858+1 2.511886+2 4.533375+1 3.162278+2 5.534632+1 3.981072+2 6.763071+1 5.011872+2 8.271381+1 6.309573+2 1.012430+2 7.943282+2 1.240196+2 1.000000+3 1.520276+2 1.258925+3 1.864904+2 1.584893+3 2.289195+2 1.995262+3 2.811774+2 2.511886+3 3.455626+2 3.162278+3 4.249395+2 3.981072+3 5.228238+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88219-10 1.995262-5 1.090681-9 2.511886-5 1.728583-9 3.162278-5 2.739626-9 3.981072-5 4.342017-9 5.011872-5 6.881550-9 6.309573-5 1.090615-8 7.943282-5 1.727850-8 1.000000-4 2.737789-8 1.258925-4 4.338111-8 1.584893-4 6.871044-8 1.995262-4 1.088090-7 2.511886-4 1.722593-7 3.162278-4 2.724914-7 3.981072-4 4.316151-7 5.011872-4 6.790307-7 6.309573-4 1.068502-6 7.943282-4 1.680140-6 1.000000-3 2.627586-6 1.258925-3 4.098875-6 1.584893-3 6.387911-6 1.995262-3 9.955954-6 2.511886-3 1.556702-5 3.162278-3 2.436220-5 3.981072-3 3.812765-5 5.011872-3 5.964913-5 6.309573-3 9.326238-5 7.943282-3 1.447824-4 1.000000-2 2.242621-4 1.258925-2 3.470045-4 1.584893-2 5.364907-4 1.995262-2 8.274190-4 2.511886-2 1.270111-3 3.162278-2 1.938273-3 3.981072-2 2.941694-3 5.011872-2 4.434693-3 6.309573-2 6.641294-3 7.943282-2 9.863850-3 1.000000-1 1.454319-2 1.258925-1 2.126848-2 1.584893-1 3.083469-2 1.995262-1 4.429582-2 2.511886-1 6.305352-2 3.162278-1 8.896516-2 3.981072-1 1.244941-1 5.011872-1 1.728013-1 6.309573-1 2.379703-1 7.943282-1 3.252467-1 1.000000+0 4.415678-1 1.258925+0 5.951598-1 1.584893+0 7.967607-1 1.995262+0 1.060034+0 2.511886+0 1.402135+0 3.162278+0 1.844806+0 3.981072+0 2.415629+0 5.011872+0 3.149688+0 6.309573+0 4.091189+0 7.943282+0 5.296399+0 1.000000+1 6.836503+0 1.258925+1 8.801724+0 1.584893+1 1.130627+1 1.995262+1 1.449478+1 2.511886+1 1.855019+1 3.162278+1 2.370419+1 3.981072+1 3.024959+1 5.011872+1 3.855693+1 6.309573+1 4.909432+1 7.943282+1 6.245379+1 1.000000+2 7.938361+1 1.258925+2 1.008289+2 1.584893+2 1.279841+2 1.995262+2 1.623576+2 2.511886+2 2.058549+2 3.162278+2 2.608814+2 3.981072+2 3.304765+2 5.011872+2 4.184734+2 6.309573+2 5.297143+2 7.943282+2 6.703086+2 1.000000+3 8.479724+2 1.258925+3 1.072435+3 1.584893+3 1.355974+3 1.995262+3 1.714085+3 2.511886+3 2.166324+3 3.162278+3 2.737338+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.730000-6 1.173949+6 5.760000-6 1.141014+6 5.760000-6 7.815582+6 5.940000-6 7.969958+6 5.940000-6 1.214674+7 6.025596-6 1.233174+7 6.237348-6 1.277675+7 6.309573-6 1.292990+7 6.531306-6 1.338077+7 6.606934-6 1.353360+7 6.839116-6 1.397709+7 6.850000-6 1.399749+7 7.000000-6 1.428205+7 7.100000-6 1.445942+7 7.161434-6 1.456938+7 7.350000-6 1.489550+7 7.413102-6 1.500612+7 7.600000-6 1.531246+7 7.770000-6 1.558111+7 7.943282-6 1.585842+7 8.000000-6 1.594268+7 8.035261-6 1.599506+7 8.222426-6 1.625975+7 8.420000-6 1.654127+7 8.511380-6 1.667200+7 8.609938-6 1.680282+7 8.810489-6 1.705624+7 9.015711-6 1.731609+7 9.200000-6 1.754964+7 9.225714-6 1.758221+7 9.332543-6 1.770767+7 9.350000-6 1.772706+7 9.500000-6 1.789347+7 9.660509-6 1.807122+7 9.850000-6 1.828051+7 1.000000-5 1.844571+7 1.015000-5 1.861044+7 1.023293-5 1.870128+7 1.035142-5 1.881475+7 1.055000-5 1.900406+7 1.109175-5 1.951487+7 1.123000-5 1.964384+7 1.135011-5 1.975543+7 1.146000-5 1.985213+7 1.150000-5 1.988724+7 1.154000-5 1.991951+7 1.161449-5 1.997948+7 1.168000-5 2.003208+7 1.176000-5 2.009614+7 1.182000-5 2.014405+7 1.190000-5 2.020777+7 1.197000-5 2.026336+7 1.203000-5 2.031089+7 1.211000-5 2.037410+7 1.218000-5 2.042924+7 1.226000-5 2.049209+7 1.232000-5 2.053909+7 1.240000-5 2.060160+7 1.247000-5 2.065613+7 1.255000-5 2.071828+7 1.265000-5 2.079569+7 1.273503-5 2.086129+7 1.275000-5 2.087220+7 1.288250-5 2.096853+7 1.305000-5 2.107749+7 1.330000-5 2.123867+7 1.380384-5 2.155838+7 1.396368-5 2.165839+7 1.410000-5 2.173624+7 1.428894-5 2.184336+7 1.430000-5 2.184872+7 1.450000-5 2.194524+7 1.470000-5 2.204087+7 1.500000-5 2.218270+7 1.513561-5 2.224617+7 1.530000-5 2.231374+7 1.548817-5 2.239043+7 1.560000-5 2.242511+7 1.590000-5 2.251719+7 1.621810-5 2.261335+7 1.659587-5 2.270382+7 1.660000-5 2.270437+7 1.698244-5 2.275477+7 1.717908-5 2.278027+7 1.737801-5 2.279359+7 1.757924-5 2.280688+7 1.785000-5 2.279674+7 1.800000-5 2.279117+7 1.830000-5 2.276079+7 1.850000-5 2.274079+7 1.883649-5 2.267393+7 1.927525-5 2.255748+7 1.972423-5 2.239806+7 1.995262-5 2.230354+7 2.000000-5 2.228410+7 2.041738-5 2.207582+7 2.070000-5 2.192105+7 2.113489-5 2.164604+7 2.150000-5 2.139830+7 2.190000-5 2.109198+7 2.238721-5 2.069897+7 2.270000-5 2.042263+7 2.317395-5 1.998646+7 2.330000-5 1.986123+7 2.350000-5 1.966549+7 2.400000-5 1.916160+7 2.426610-5 1.887832+7 2.483133-5 1.826819+7 2.511886-5 1.794630+7 2.540973-5 1.761364+7 2.570396-5 1.728713+7 2.600160-5 1.694387+7 2.660725-5 1.624664+7 2.691535-5 1.588744+7 2.754229-5 1.516374+7 2.786121-5 1.479429+7 2.818383-5 1.442047+7 2.851018-5 1.405609+7 2.884032-5 1.368259+7 2.951209-5 1.294204+7 2.985383-5 1.257091+7 3.000000-5 1.241211+7 3.054921-5 1.183963+7 3.090295-5 1.147626+7 3.162278-5 1.076414+7 3.198895-5 1.041257+7 3.273407-5 9.727178+6 3.311311-5 9.390008+6 3.400000-5 8.642226+6 3.427678-5 8.417283+6 3.450000-5 8.241414+6 3.540000-5 7.563994+6 3.589219-5 7.213388+6 3.672823-5 6.652892+6 3.684300-5 6.578355+6 3.730000-5 6.291922+6 3.801894-5 5.864964+6 3.836000-5 5.669988+6 3.836000-5 1.134695+7 3.850000-5 1.121207+7 3.890451-5 1.083018+7 3.950000-5 1.026601+7 3.960000-5 1.017371+7 3.981072-5 9.975622+6 4.000000-5 9.801861+6 4.030000-5 9.531614+6 4.058000-5 9.280000+6 4.058000-5 1.201294+7 4.073803-5 1.184924+7 4.105000-5 1.153127+7 4.150000-5 1.107998+7 4.168694-5 1.089780+7 4.220000-5 1.039718+7 4.240000-5 1.020803+7 4.300000-5 9.656773+6 4.315191-5 9.522203+6 4.350000-5 9.222644+6 4.365158-5 9.094116+6 4.450000-5 8.398016+6 4.518559-5 7.880374+6 4.570882-5 7.504379+6 4.677351-5 6.794299+6 4.720000-5 6.530601+6 4.731513-5 6.460970+6 4.841724-5 5.834499+6 4.897788-5 5.539352+6 4.954502-5 5.257642+6 5.011872-5 4.988441+6 5.069907-5 4.729439+6 5.150000-5 4.398688+6 5.248075-5 4.026152+6 5.308844-5 3.813558+6 5.432503-5 3.416379+6 5.450000-5 3.364405+6 5.477200-5 3.284838+6 5.623413-5 2.892852+6 5.688529-5 2.734649+6 5.754399-5 2.587086+6 5.800000-5 2.490272+6 5.900000-5 2.291883+6 5.956621-5 2.187812+6 6.070000-5 1.998089+6 6.095369-5 1.958348+6 6.165950-5 1.852397+6 6.237348-5 1.754964+6 6.345000-5 1.619078+6 6.345000-5 1.782309+6 6.382635-5 1.739720+6 6.400000-5 1.720602+6 6.500000-5 1.617981+6 6.606934-5 1.519128+6 6.650000-5 1.482830+6 6.657300-5 1.476808+6 6.760830-5 1.395006+6 6.800000-5 1.366409+6 6.850000-5 1.332265+6 6.918310-5 1.287582+6 7.000000-5 1.237499+6 7.070000-5 1.199150+6 7.079458-5 1.194172+6 7.161434-5 1.152188+6 7.230000-5 1.119259+6 7.244360-5 1.112828+6 7.328245-5 1.077612+6 7.350000-5 1.068789+6 7.450000-5 1.030281+6 7.470000-5 1.023239+6 7.498942-5 1.013333+6 7.500000-5 1.012983+6 7.580000-5 9.871664+5 7.585776-5 9.853690+5 7.673615-5 9.591630+5 7.690000-5 9.545818+5 7.737400-5 9.418339+5 7.762471-5 9.353858+5 7.852356-5 9.134433+5 7.900000-5 9.025134+5 7.943282-5 8.933115+5 7.950000-5 8.919617+5 8.035261-5 8.753973+5 8.040000-5 8.744818+5 8.128305-5 8.582816+5 8.150000-5 8.545158+5 8.222426-5 8.433125+5 8.317638-5 8.295893+5 8.400000-5 8.185505+5 8.413951-5 8.167837+5 8.511380-5 8.060786+5 8.610000-5 7.958003+5 8.650000-5 7.919068+5 8.709636-5 7.864630+5 8.730000-5 7.848296+5 8.810489-5 7.786825+5 8.850000-5 7.757842+5 8.912509-5 7.714249+5 9.000000-5 7.659533+5 9.015711-5 7.650209+5 9.150000-5 7.580164+5 9.225714-5 7.544551+5 9.332543-5 7.500143+5 9.350000-5 7.494253+5 9.500000-5 7.447908+5 9.549926-5 7.434830+5 9.660509-5 7.405294+5 9.800000-5 7.378330+5 1.000000-4 7.349723+5 1.011579-4 7.335486+5 1.020000-4 7.329599+5 1.040000-4 7.316855+5 1.047129-4 7.312813+5 1.050000-4 7.311904+5 1.060000-4 7.308043+5 1.071519-4 7.308379+5 1.083927-4 7.305891+5 1.106700-4 7.305193+5 1.110000-4 7.305090+5 1.122018-4 7.303472+5 1.135011-4 7.303022+5 1.148154-4 7.304246+5 1.170000-4 7.304602+5 1.180000-4 7.304395+5 1.188502-4 7.303140+5 1.202264-4 7.298805+5 1.205000-4 7.298355+5 1.216186-4 7.295586+5 1.244515-4 7.285671+5 1.258925-4 7.280041+5 1.260000-4 7.279464+5 1.288250-4 7.260782+5 1.303167-4 7.250142+5 1.318257-4 7.237951+5 1.333521-4 7.226164+5 1.350000-4 7.210164+5 1.380384-4 7.177846+5 1.400000-4 7.156274+5 1.428894-4 7.122024+5 1.430000-4 7.120491+5 1.450000-4 7.091409+5 1.480000-4 7.045134+5 1.513561-4 6.993010+5 1.540000-4 6.950558+5 1.548817-4 6.935958+5 1.566751-4 6.905958+5 1.580000-4 6.881738+5 1.603245-4 6.837409+5 1.621810-4 6.801377+5 1.640590-4 6.763739+5 1.680000-4 6.687122+5 1.698244-4 6.651362+5 1.701200-4 6.645499+5 1.720000-4 6.606572+5 1.750000-4 6.540971+5 1.778279-4 6.479190+5 1.819701-4 6.387754+5 1.850000-4 6.321454+5 1.862087-4 6.294995+5 1.883649-4 6.244618+5 1.905461-4 6.193516+5 1.949845-4 6.090327+5 2.000000-4 5.974866+5 2.018366-4 5.932293+5 2.041738-4 5.877072+5 2.065380-4 5.821286+5 2.113489-4 5.708378+5 2.118100-4 5.697617+5 2.118100-4 7.329437+5 2.127000-4 7.314941+5 2.137000-4 7.309675+5 2.145000-4 7.316962+5 2.148200-4 7.324974+5 2.148200-4 8.451998+5 2.153000-4 8.463936+5 2.157000-4 8.481276+5 2.160000-4 8.496796+5 2.162719-4 8.515544+5 2.165000-4 8.531276+5 2.167000-4 8.548240+5 2.170000-4 8.577140+5 2.175000-4 8.634553+5 2.182000-4 8.739542+5 2.187762-4 8.849965+5 2.188000-4 8.854620+5 2.195000-4 9.021365+5 2.201000-4 9.196726+5 2.202000-4 9.228256+5 2.207000-4 9.404102+5 2.210000-4 9.518487+5 2.213095-4 9.647921+5 2.217000-4 9.823787+5 2.219500-4 9.945607+5 2.225000-4 1.023540+6 2.231000-4 1.059637+6 2.238721-4 1.111703+6 2.247000-4 1.175143+6 2.255000-4 1.244648+6 2.257000-4 1.263476+6 2.264644-4 1.338563+6 2.265000-4 1.342245+6 2.270000-4 1.394240+6 2.275000-4 1.449822+6 2.285000-4 1.567005+6 2.290868-4 1.638941+6 2.292000-4 1.653379+6 2.295000-4 1.691105+6 2.300000-4 1.755780+6 2.305000-4 1.821187+6 2.308000-4 1.861313+6 2.313000-4 1.927684+6 2.317395-4 1.987496+6 2.321000-4 2.035809+6 2.327000-4 2.117903+6 2.328000-4 2.131340+6 2.335000-4 2.226186+6 2.336000-4 2.239512+6 2.344229-4 2.349961+6 2.345000-4 2.360381+6 2.350000-4 2.425687+6 2.351000-4 2.439020+6 2.355000-4 2.491801+6 2.359000-4 2.543227+6 2.365000-4 2.619963+6 2.370000-4 2.682361+6 2.378000-4 2.781690+6 2.381000-4 2.817703+6 2.392000-4 2.948680+6 2.400000-4 3.038515+6 2.405000-4 3.096240+6 2.420000-4 3.258044+6 2.426610-4 3.324677+6 2.435000-4 3.411405+6 2.450000-4 3.555122+6 2.454709-4 3.599677+6 2.465000-4 3.692240+6 2.473000-4 3.762395+6 2.483133-4 3.847460+6 2.485000-4 3.863346+6 2.490000-4 3.903872+6 2.507000-4 4.034037+6 2.511886-4 4.069998+6 2.515000-4 4.093076+6 2.530000-4 4.195192+6 2.540973-4 4.266990+6 2.550000-4 4.321048+6 2.565000-4 4.406301+6 2.570396-4 4.434195+6 2.573000-4 4.447705+6 2.580000-4 4.481288+6 2.590000-4 4.529627+6 2.600160-4 4.573746+6 2.615000-4 4.632370+6 2.630268-4 4.684822+6 2.650000-4 4.745169+6 2.660725-4 4.772073+6 2.691535-4 4.839315+6 2.722701-4 4.884058+6 2.730000-4 4.894539+6 2.754229-4 4.915272+6 2.786121-4 4.936686+6 2.800000-4 4.941932+6 2.818383-4 4.945744+6 2.851018-4 4.952479+6 2.884032-4 4.947186+6 2.900000-4 4.944638+6 2.930000-4 4.939825+6 2.951209-4 4.929271+6 3.019952-4 4.895788+6 3.090295-4 4.839671+6 3.100000-4 4.832074+6 3.126079-4 4.803494+6 3.162278-4 4.764436+6 3.180000-4 4.745520+6 3.198895-4 4.723219+6 3.200000-4 4.721706+6 3.280000-4 4.614699+6 3.311311-4 4.570840+6 3.349654-4 4.512857+6 3.388442-4 4.455550+6 3.390000-4 4.453273+6 3.430000-4 4.392207+6 3.507519-4 4.270462+6 3.548134-4 4.208974+6 3.550000-4 4.206188+6 3.589219-4 4.146036+6 3.592800-4 4.140615+6 3.592800-4 4.540304+6 3.600000-4 4.530781+6 3.630781-4 4.488011+6 3.643000-4 4.471294+6 3.715352-4 4.371858+6 3.740000-4 4.337820+6 3.752200-4 4.320810+6 3.752200-4 4.477776+6 3.758374-4 4.472836+6 3.761000-4 4.470767+6 3.770000-4 4.462289+6 3.780000-4 4.451957+6 3.790000-4 4.440217+6 3.797000-4 4.431819+6 3.820000-4 4.403228+6 3.845918-4 4.370626+6 3.865000-4 4.346345+6 3.890451-4 4.313600+6 3.895000-4 4.307382+6 3.925000-4 4.265704+6 3.935501-4 4.250985+6 3.950000-4 4.229753+6 3.955000-4 4.222353+6 4.000000-4 4.155582+6 4.073803-4 4.045865+6 4.100000-4 4.006896+6 4.120975-4 3.975976+6 4.168694-4 3.904256+6 4.216965-4 3.833891+6 4.315191-4 3.697282+6 4.365158-4 3.629415+6 4.518559-4 3.425608+6 4.559800-4 3.374089+6 4.559800-4 3.527105+6 4.570882-4 3.513069+6 4.600000-4 3.476268+6 4.650000-4 3.413369+6 4.651000-4 3.412123+6 4.841724-4 3.181491+6 4.850000-4 3.172068+6 4.897788-4 3.117532+6 4.954502-4 3.054784+6 5.011872-4 2.991688+6 5.069907-4 2.929858+6 5.080000-4 2.919317+6 5.150000-4 2.847207+6 5.248075-4 2.749405+6 5.308844-4 2.690218+6 5.370318-4 2.632149+6 5.432503-4 2.574987+6 5.559043-4 2.464597+6 5.623413-4 2.410641+6 5.688529-4 2.357792+6 5.754399-4 2.305231+6 5.888437-4 2.203077+6 5.956621-4 2.153835+6 6.000000-4 2.123299+6 6.095369-4 2.057661+6 6.165950-4 2.011088+6 6.309573-4 1.919632+6 6.350000-4 1.894859+6 6.382635-4 1.875169+6 6.456542-4 1.831737+6 6.500000-4 1.806824+6 6.606934-4 1.747102+6 6.683439-4 1.706174+6 6.700000-4 1.697386+6 6.850000-4 1.620243+6 6.918310-4 1.586752+6 7.000000-4 1.548063+6 7.079458-4 1.511820+6 7.161434-4 1.475776+6 7.244360-4 1.440336+6 7.328245-4 1.405567+6 7.500000-4 1.337211+6 7.762471-4 1.242226+6 7.800000-4 1.229496+6 7.852356-4 1.211907+6 7.943282-4 1.182249+6 8.035261-4 1.153073+6 8.200000-4 1.102723+6 8.511380-4 1.016282+6 8.609938-4 9.908567+5 8.700000-4 9.683109+5 8.709636-4 9.659279+5 8.810489-4 9.415118+5 8.912509-4 9.177370+5 9.120108-4 8.716158+5 9.225714-4 8.494892+5 9.332543-4 8.278050+5 9.440609-4 8.066281+5 9.549926-4 7.860198+5 9.885531-4 7.270831+5 1.023293-3 6.722825+5 1.035142-3 6.548363+5 1.047129-3 6.377956+5 1.071519-3 6.051060+5 1.096478-3 5.740116+5 1.109175-3 5.589804+5 1.110000-3 5.580235+5 1.122018-3 5.442512+5 1.135011-3 5.298632+5 1.161449-3 5.022313+5 1.174898-3 4.889834+5 1.216186-3 4.512197+5 1.230269-3 4.392338+5 1.244515-3 4.274595+5 1.288250-3 3.940763+5 1.303167-3 3.835710+5 1.318257-3 3.733576+5 1.333521-3 3.633798+5 1.355400-3 3.497227+5 1.364583-3 3.441070+5 1.396368-3 3.256604+5 1.428894-3 3.082426+5 1.462177-3 2.918057+5 1.479108-3 2.839016+5 1.500000-3 2.745425+5 1.513561-3 2.686717+5 1.566751-3 2.471495+5 1.584893-3 2.403801+5 1.621810-3 2.274220+5 1.640590-3 2.211965+5 1.650000-3 2.181686+5 1.659587-3 2.151324+5 1.678804-3 2.091819+5 1.737801-3 1.922600+5 1.757924-3 1.869314+5 1.778279-3 1.817531+5 1.819701-3 1.718454+5 1.840772-3 1.670707+5 1.862087-3 1.624335+5 1.927525-3 1.491496+5 1.949845-3 1.449802+5 1.972423-3 1.409319+5 2.018366-3 1.331809+5 2.041738-3 1.294583+5 2.065380-3 1.258243+5 2.089296-3 1.222669+5 2.137962-3 1.154340+5 2.162719-3 1.121690+5 2.187762-3 1.090010+5 2.213095-3 1.059272+5 2.238721-3 1.029414+5 2.264644-3 1.000321+5 2.317395-3 9.445513+4 2.369100-3 8.936776+4 2.369100-3 3.292097+5 2.371374-3 3.284366+5 2.386000-3 3.235199+5 2.400000-3 3.189109+5 2.426610-3 3.103978+5 2.466600-3 2.982000+5 2.466600-3 4.130512+5 2.483133-3 4.062862+5 2.500000-3 3.995435+5 2.540973-3 3.837954+5 2.570396-3 3.730174+5 2.600160-3 3.628102+5 2.630268-3 3.526029+5 2.640000-3 3.493903+5 2.660725-3 3.425427+5 2.676300-3 3.375200+5 2.676300-3 3.867422+5 2.691535-3 3.814955+5 2.695000-3 3.803165+5 2.754229-3 3.609385+5 2.786121-3 3.508345+5 2.800000-3 3.465632+5 2.818383-3 3.410169+5 2.863480-3 3.277806+5 2.884032-3 3.219915+5 2.900000-3 3.175827+5 2.917427-3 3.128623+5 2.951209-3 3.039925+5 2.985383-3 2.953810+5 3.019952-3 2.870205+5 3.054921-3 2.788434+5 3.090295-3 2.708457+5 3.126079-3 2.630676+5 3.150000-3 2.580436+5 3.273407-3 2.341650+5 3.311311-3 2.273988+5 3.349654-3 2.208323+5 3.427678-3 2.082762+5 3.467369-3 2.022750+5 3.507519-3 1.964484+5 3.548134-3 1.907886+5 3.672823-3 1.747927+5 3.715352-3 1.697718+5 3.758374-3 1.648427+5 3.801894-3 1.600367+5 3.890451-3 1.508469+5 3.935501-3 1.464572+5 3.981072-3 1.421973+5 4.000000-3 1.404777+5 4.073803-3 1.340474+5 4.168694-3 1.263121+5 4.216965-3 1.226181+5 4.365158-3 1.121106+5 4.415704-3 1.087933+5 4.466836-3 1.055757+5 4.518559-3 1.024540+5 4.731513-3 9.087549+4 4.786301-3 8.815262+4 4.897788-3 8.294914+4 4.954502-3 8.046686+4 5.011872-3 7.806031+4 5.128614-3 7.343508+4 5.188000-3 7.122736+4 5.308844-3 6.701162+4 5.370318-3 6.500060+4 5.495409-3 6.114073+4 5.559043-3 5.930020+4 5.623413-3 5.751638+4 5.688529-3 5.577626+4 5.821032-3 5.245648+4 6.025596-3 4.783608+4 6.095369-3 4.638893+4 6.237348-3 4.359966+4 6.309573-3 4.226476+4 6.531306-3 3.850598+4 6.606934-3 3.732541+4 6.683439-3 3.618101+4 6.800000-3 3.452981+4 6.839116-3 3.399878+4 6.918310-3 3.295811+4 7.079458-3 3.097369+4 7.161434-3 3.002807+4 7.244360-3 2.911122+4 7.300000-3 2.851375+4 7.498942-3 2.649731+4 7.585776-3 2.567918+4 7.673615-3 2.488652+4 7.762471-3 2.411824+4 7.852356-3 2.337423+4 7.943282-3 2.265058+4 8.035261-3 2.194989+4 8.222426-3 2.061473+4 8.413951-3 1.935689+4 8.511380-3 1.875391+4 8.709636-3 1.760508+4 8.912509-3 1.652691+4 9.015711-3 1.601355+4 9.120108-3 1.551656+4 9.225714-3 1.503532+4 9.332543-3 1.456801+4 9.440609-3 1.411249+4 9.660509-3 1.324474+4 9.772372-3 1.282928+4 9.885531-3 1.242716+4 1.000000-2 1.203724+4 1.023293-2 1.129432+4 1.035142-2 1.094073+4 1.047129-2 1.059847+4 1.071519-2 9.944877+3 1.083927-2 9.633724+3 1.096478-2 9.330526+3 1.122018-2 8.753176+3 1.135011-2 8.476848+3 1.148154-2 8.209241+3 1.161449-2 7.950189+3 1.174898-2 7.699269+3 1.188502-2 7.456502+3 1.216186-2 6.994251+3 1.230269-2 6.773613+3 1.244515-2 6.558779+3 1.258925-2 6.350936+3 1.288250-2 5.955200+3 1.303167-2 5.766905+3 1.318257-2 5.584556+3 1.348963-2 5.235573+3 1.364583-2 5.069578+3 1.368040-2 5.033826+3 1.412538-2 4.602792+3 1.445440-2 4.314195+3 1.479108-2 4.043393+3 1.500000-2 3.887000+3 1.513561-2 3.789854+3 1.548817-2 3.552392+3 1.566751-2 3.438964+3 1.603245-2 3.223131+3 1.640590-2 3.020944+3 1.678804-2 2.830272+3 1.698244-2 2.739601+3 1.730000-2 2.599884+3 1.737801-2 2.566992+3 1.757924-2 2.484676+3 1.778279-2 2.405037+3 1.819701-2 2.253512+3 1.840772-2 2.181184+3 1.883649-2 2.043586+3 1.894800-2 2.009726+3 1.894800-2 1.355122+4 1.905461-2 1.335627+4 1.927525-2 1.296453+4 1.943000-2 1.269926+4 1.949845-2 1.257581+4 1.972423-2 1.218003+4 2.018366-2 1.150374+4 2.020000-2 1.148067+4 2.041738-2 1.116084+4 2.065380-2 1.082679+4 2.089296-2 1.050269+4 2.113489-2 1.018834+4 2.162719-2 9.587720+3 2.187762-2 9.300742+3 2.213095-2 9.026207+3 2.264644-2 8.500546+3 2.344229-2 7.769163+3 2.371374-2 7.539685+3 2.398833-2 7.317022+3 2.400000-2 7.307762+3 2.426610-2 7.095028+3 2.454709-2 6.879534+3 2.570396-2 6.081114+3 2.600160-2 5.896414+3 2.660725-2 5.543220+3 2.722701-2 5.211263+3 2.754229-2 5.052842+3 2.851018-2 4.605983+3 2.884032-2 4.466012+3 2.951209-2 4.193106+3 3.000000-2 4.009021+3 3.054921-2 3.814748+3 3.090295-2 3.696220+3 3.126079-2 3.581346+3 3.235937-2 3.257769+3 3.349654-2 2.963504+3 3.388442-2 2.871459+3 3.427678-2 2.782285+3 3.467369-2 2.695885+3 3.548134-2 2.531076+3 3.589219-2 2.452410+3 3.672823-2 2.302326+3 3.715352-2 2.229351+3 3.758374-2 2.158682+3 3.845918-2 2.023976+3 3.890451-2 1.959818+3 3.981072-2 1.837546+3 4.027170-2 1.779309+3 4.168694-2 1.615462+3 4.216965-2 1.564217+3 4.265795-2 1.514601+3 4.518559-2 1.289159+3 4.623810-2 1.208696+3 4.731513-2 1.132063+3 4.786301-2 1.095585+3 4.954502-2 9.930683+2 5.069907-2 9.300497+2 5.248075-2 8.429367+2 5.308844-2 8.157550+2 5.432503-2 7.639970+2 5.559043-2 7.155286+2 5.688529-2 6.701397+2 5.754399-2 6.485386+2 5.888437-2 6.068779+2 5.956621-2 5.870428+2 6.000000-2 5.748760+2 6.095369-2 5.492951+2 6.531306-2 4.500006+2 6.760830-2 4.073121+2 6.918310-2 3.811299+2 7.079458-2 3.566331+2 7.161434-2 3.449698+2 7.244360-2 3.335714+2 7.328245-2 3.225502+2 7.498942-2 3.015857+2 8.222426-2 2.305100+2 8.317638-2 2.228960+2 8.511380-2 2.084148+2 8.709636-2 1.948755+2 8.912509-2 1.822045+2 9.015711-2 1.761818+2 9.885531-2 1.343332+2 1.011580-1 1.255288+2 1.023293-1 1.213462+2 1.035142-1 1.173028+2 1.059254-1 1.096158+2 1.071519-1 1.059637+2 1.096478-1 9.902051+1 1.109175-1 9.571907+1 1.135011-1 8.944328+1 1.148154-1 8.646149+1 1.161449-1 8.357919+1 1.202264-1 7.549667+1 1.230269-1 7.054756+1 1.244515-1 6.819616+1 1.273503-1 6.371804+1 1.303167-1 5.953439+1 1.348963-1 5.376868+1 1.380384-1 5.023878+1 1.396368-1 4.856178+1 1.412538-1 4.694089+1 1.428894-1 4.537426+1 1.479108-1 4.098126+1 1.500000-1 3.932124+1 1.531088-1 3.701379+1 1.548817-1 3.577876+1 1.603245-1 3.231560+1 1.640590-1 3.019516+1 1.659587-1 2.918789+1 1.717908-1 2.636332+1 1.737801-1 2.548390+1 1.757924-1 2.463386+1 1.798871-1 2.301797+1 1.840772-1 2.150823+1 1.862087-1 2.079093+1 1.883649-1 2.009755+1 1.905461-1 1.943325+1 1.927525-1 1.879102+1 1.972423-1 1.756955+1 2.000000-1 1.687174+1 2.018366-1 1.642758+1 2.041738-1 1.588477+1 2.089296-1 1.485241+1 2.137962-1 1.388786+1 2.162719-1 1.342940+1 2.187762-1 1.298616+1 2.213095-1 1.255756+1 2.238721-1 1.214312+1 2.264644-1 1.174236+1 2.290868-1 1.135483+1 2.300000-1 1.122392+1 2.344229-1 1.062560+1 2.426610-1 9.620971+0 2.454709-1 9.307667+0 2.483133-1 9.004614+0 2.540973-1 8.427790+0 2.570396-1 8.153764+0 2.600160-1 7.888653+0 2.630268-1 7.632231+0 2.660725-1 7.384153+0 2.691535-1 7.144162+0 2.722701-1 6.911979+0 2.754229-1 6.690476+0 2.851018-1 6.067764+0 2.884032-1 5.873352+0 2.917427-1 5.685179+0 2.951209-1 5.503037+0 2.985383-1 5.326729+0 3.019952-1 5.156338+0 3.054921-1 4.991417+0 3.090295-1 4.831837+0 3.162278-1 4.527830+0 3.198895-1 4.385547+0 3.273407-1 4.114254+0 3.311311-1 3.984972+0 3.388442-1 3.738467+0 3.427678-1 3.621024+0 3.467369-1 3.507464+0 3.507519-1 3.397468+0 3.548134-1 3.290957+0 3.589219-1 3.187793+0 3.630781-1 3.089691+0 3.672823-1 2.994611+0 3.715352-1 2.902460+0 3.758374-1 2.813156+0 3.801894-1 2.726600+0 3.845918-1 2.642717+0 3.890451-1 2.561419+0 3.981072-1 2.406535+0 4.027170-1 2.332670+0 4.073803-1 2.262573+0 4.120975-1 2.194595+0 4.216965-1 2.064706+0 4.265795-1 2.002682+0 4.365158-1 1.884169+0 4.415705-1 1.827688+0 4.466836-1 1.772909+0 4.518559-1 1.719793+0 4.570882-1 1.669381+0 4.623810-1 1.620448+0 4.677351-1 1.572950+0 4.786301-1 1.482102+0 4.841724-1 1.438664+0 4.897788-1 1.396507+0 4.954502-1 1.355681+0 5.011872-1 1.316049+0 5.069907-1 1.278468+0 5.128614-1 1.241963+0 5.188000-1 1.206500+0 5.308844-1 1.138591+0 5.370318-1 1.106088+0 5.432503-1 1.074514+0 5.559043-1 1.014188+0 5.623413-1 9.860559-1 5.688529-1 9.587037-1 5.754399-1 9.321135-1 5.821032-1 9.062607-1 5.888437-1 8.811289-1 6.025596-1 8.329375-1 6.095369-1 8.098985-1 6.165950-1 7.874979-1 6.237348-1 7.663108-1 6.309573-1 7.456960-1 6.382635-1 7.256357-1 6.456542-1 7.061186-1 6.606935-1 6.686448-1 6.623700-1 6.646440-1 6.683439-1 6.507059-1 6.760830-1 6.332606-1 6.839117-1 6.162831-1 6.998420-1 5.845680-1 7.079458-1 5.693305-1 7.161434-1 5.544903-1 7.244360-1 5.400372-1 7.328245-1 5.259611-1 7.413102-1 5.122908-1 7.498942-1 4.989759-1 7.585776-1 4.863614-1 7.673615-1 4.740733-1 7.762471-1 4.620977-1 7.852356-1 4.504265-1 7.943282-1 4.390502-1 8.035261-1 4.279611-1 8.128305-1 4.171522-1 8.222427-1 4.066458-1 8.317638-1 3.967079-1 8.413951-1 3.870145-1 8.511380-1 3.775654-1 8.609938-1 3.683472-1 8.709636-1 3.593546-1 9.015711-1 3.336727-1 9.120108-1 3.257892-1 9.225714-1 3.180923-1 9.332543-1 3.106081-1 9.440609-1 3.033001-1 9.549926-1 2.961641-1 9.660509-1 2.891971-1 9.772372-1 2.823955-1 9.885531-1 2.757543-1 1.000000+0 2.694603-1 1.011579+0 2.633361-1 1.023293+0 2.573515-1 1.035142+0 2.515043-1 1.059254+0 2.402055-1 1.071519+0 2.347484-1 1.083927+0 2.294148-1 1.096478+0 2.242028-1 1.109175+0 2.191096-1 1.122018+0 2.141328-1 1.135011+0 2.092693-1 1.148154+0 2.046635-1 1.161449+0 2.001772-1 1.174898+0 1.957893-1 1.188600+0 1.914683-1 1.202264+0 1.873020-1 1.216186+0 1.831972-1 1.230269+0 1.791831-1 1.244515+0 1.753690-1 1.250000+0 1.739336-1 1.273503+0 1.679860-1 1.288250+0 1.644243-1 1.318257+0 1.575263-1 1.348963+0 1.509178-1 1.380384+0 1.445876-1 1.396368+0 1.415228-1 1.412538+0 1.385227-1 1.428894+0 1.356756-1 1.462177+0 1.301590-1 1.479108+0 1.274854-1 1.513561+0 1.223019-1 1.531087+0 1.197897-1 1.548817+0 1.173293-1 1.566751+0 1.149960-1 1.584893+0 1.127106-1 1.621810+0 1.082890-1 1.640590+0 1.061437-1 1.659587+0 1.040410-1 1.678804+0 1.019799-1 1.717908+0 9.797996-2 1.737801+0 9.603916-2 1.757924+0 9.419781-2 1.778279+0 9.239309-2 1.798871+0 9.062869-2 1.819701+0 8.889802-2 1.862087+0 8.553524-2 1.883649+0 8.390190-2 1.905461+0 8.229972-2 1.927525+0 8.072838-2 1.949845+0 7.918704-2 1.972423+0 7.767540-2 1.995262+0 7.624080-2 2.000000+0 7.594876-2 2.018366+0 7.483367-2 2.065380+0 7.210625-2 2.089296+0 7.078005-2 2.113489+0 6.947830-2 2.137962+0 6.820048-2 2.162719+0 6.694630-2 2.187762+0 6.571524-2 2.238721+0 6.332101-2 2.264644+0 6.219504-2 2.290868+0 6.108985-2 2.344229+0 5.894541-2 2.371374+0 5.790158-2 2.398833+0 5.687628-2 2.426610+0 5.586914-2 2.454709+0 5.487994-2 2.483133+0 5.390829-2 2.540973+0 5.201657-2 2.570396+0 5.112532-2 2.600160+0 5.024994-2 2.660725+0 4.854955-2 2.691535+0 4.772105-2 2.722701+0 4.690674-2 2.754229+0 4.610629-2 2.786121+0 4.531962-2 2.818383+0 4.454636-2 2.851018+0 4.378632-2 2.917427+0 4.230514-2 2.951209+0 4.160588-2 2.985383+0 4.091862-2 3.054921+0 3.958229-2 3.090295+0 3.893058-2 3.126079+0 3.828962-2 3.198895+0 3.703918-2 3.235937+0 3.642942-2 3.273407+0 3.582972-2 3.311311+0 3.523990-2 3.388442+0 3.408939-2 3.427678+0 3.354560-2 3.467369+0 3.301085-2 3.548134+0 3.197012-2 3.589219+0 3.146213-2 3.630781+0 3.096222-2 3.715352+0 2.998612-2 3.758374+0 2.950972-2 3.801894+0 2.904090-2 3.845918+0 2.857953-2 3.935501+0 2.767879-2 4.000000+0 2.707814-2 4.027170+0 2.683203-2 4.168694+0 2.561439-2 4.216965+0 2.522092-2 4.265795+0 2.483350-2 4.365158+0 2.407643-2 4.415704+0 2.370664-2 4.466836+0 2.334253-2 4.518559+0 2.298402-2 4.623810+0 2.228352-2 4.677351+0 2.195134-2 4.731513+0 2.162432-2 4.897788+0 2.067519-2 4.954502+0 2.036816-2 5.011872+0 2.006571-2 5.128614+0 1.947420-2 5.188000+0 1.918505-2 5.248075+0 1.890019-2 5.308844+0 1.861957-2 5.432503+0 1.807085-2 5.559043+0 1.755272-2 5.623413+0 1.729941-2 5.821032+0 1.656326-2 5.956621+0 1.608998-2 6.025596+0 1.585844-2 6.237348+0 1.518363-2 6.309573+0 1.496515-2 6.382635+0 1.474982-2 6.456542+0 1.453760-2 6.606934+0 1.412232-2 6.760830+0 1.373084-2 6.839116+0 1.353932-2 7.000000+0 1.316188-2 7.079458+0 1.298247-2 7.161434+0 1.280200-2 7.328245+0 1.244855-2 7.413102+0 1.227552-2 7.498942+0 1.210489-2 7.585776+0 1.193664-2 7.943282+0 1.128677-2 8.317638+0 1.068473-2 8.609938+0 1.025457-2 9.015711+0 9.709250-3 9.120108+0 9.577513-3 9.332543+0 9.319382-3 9.440609+0 9.192951-3 9.660509+0 8.945249-3 1.011579+1 8.481711-3 1.059254+1 8.042410-3 1.135011+1 7.427240-3 1.148154+1 7.329386-3 1.174898+1 7.137536-3 1.188502+1 7.043516-3 1.202264+1 6.950741-3 1.230269+1 6.768839-3 1.288250+1 6.427343-3 1.348963+1 6.103245-3 1.364583+1 6.024995-3 1.462177+1 5.576115-3 1.479108+1 5.504624-3 1.513561+1 5.364380-3 1.531087+1 5.295611-3 1.548817+1 5.227726-3 1.603245+1 5.029263-3 1.698244+1 4.721611-3 1.717908+1 4.662383-3 1.800000+1 4.429844-3 1.819701+1 4.377426-3 1.927525+1 4.110370-3 1.949845+1 4.058946-3 1.972423+1 4.008167-3 2.000000+1 3.947777-3 2.018366+1 3.908516-3 2.041738+1 3.859627-3 2.137962+1 3.670116-3 2.264644+1 3.450393-3 2.290868+1 3.408052-3 2.317395+1 3.366233-3 2.483133+1 3.125957-3 2.511886+1 3.087683-3 2.691535+1 2.867681-3 2.722701+1 2.832569-3 2.754229+1 2.797888-3 2.786121+1 2.763633-3 2.800000+1 2.748979-3 2.818383+1 2.729799-3 3.019952+1 2.535328-3 3.198895+1 2.386395-3 3.273407+1 2.329301-3 3.311311+1 2.301270-3 3.589219+1 2.114333-3 3.630781+1 2.088941-3 3.801894+1 1.990388-3 3.845918+1 1.966487-3 3.890451+1 1.942875-3 4.415704+1 1.701125-3 4.897788+1 1.528536-3 5.069907+1 1.474990-3 5.370318+1 1.389908-3 5.432503+1 1.373511-3 5.623413+1 1.325474-3 5.688529+1 1.309840-3 7.673615+1 9.621420-4 9.332543+1 7.881917-4 9.440609+1 7.789997-4 9.549926+1 7.699167-4 9.885531+1 7.432992-4 1.000000+2 7.346420-4 1.011579+2 7.260865-4 1.479108+2 4.932951-4 1.862087+2 3.909511-4 1.883649+2 3.864321-4 1.905461+2 3.819659-4 1.972423+2 3.688751-4 1.995262+2 3.646153-4 2.018366+2 3.604047-4 2.951209+2 2.456584-4 5.888437+2 1.227084-4 7.413102+2 9.743735-5 7.498942+2 9.632034-5 7.585776+2 9.521622-5 7.852356+2 9.197929-5 7.943282+2 9.092539-5 8.035261+2 8.988359-5 9.332543+3 7.721277-6 2.344229+4 3.073538-6 4.731513+4 1.522650-6 4.786301+4 1.505218-6 4.954502+4 1.454111-6 5.011872+4 1.437465-6 5.069907+4 1.421009-6 1.000000+5 7.203978-7 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.730000-6 5.730000-6 5.760000-6 5.730000-6 5.760000-6 5.755620-6 5.940000-6 5.756368-6 5.940000-6 5.819512-6 1.430000-5 5.831063-6 3.836000-5 5.833572-6 3.836000-5 8.739070-6 4.058000-5 8.794849-6 4.058000-5 9.458045-6 5.011872-5 9.674367-6 5.623413-5 9.889967-6 6.345000-5 1.023328-5 6.345000-5 1.088927-5 7.079458-5 1.165972-5 7.500000-5 1.202075-5 7.852356-5 1.225010-5 8.222426-5 1.241026-5 8.650000-5 1.250287-5 9.150000-5 1.251313-5 9.800000-5 1.242497-5 1.260000-4 1.178359-5 1.400000-4 1.153795-5 1.566751-4 1.133334-5 1.778279-4 1.116942-5 2.065380-4 1.105622-5 2.118100-4 1.104260-5 2.118100-4 1.359525-5 2.145000-4 1.367254-5 2.148200-4 1.369305-5 2.148200-4 1.484994-5 2.167000-4 1.499083-5 2.182000-4 1.519878-5 2.195000-4 1.546331-5 2.210000-4 1.587017-5 2.225000-4 1.637065-5 2.270000-4 1.807372-5 2.292000-4 1.879435-5 2.313000-4 1.934294-5 2.336000-4 1.980147-5 2.365000-4 2.021366-5 2.400000-4 2.054979-5 2.450000-4 2.086029-5 2.515000-4 2.110720-5 2.615000-4 2.131295-5 2.800000-4 2.146595-5 3.200000-4 2.158197-5 3.592800-4 2.160872-5 3.592800-4 2.274779-5 3.752200-4 2.288083-5 3.752200-4 2.329427-5 3.895000-4 2.349061-5 4.559800-4 2.386824-5 4.559800-4 2.479675-5 6.700000-4 2.604707-5 8.709636-4 2.698626-5 1.122018-3 2.791965-5 1.428894-3 2.881788-5 1.778279-3 2.963068-5 2.238721-3 3.046390-5 2.369100-3 3.066454-5 2.369100-3 4.625560-5 2.466600-3 4.630845-5 2.466600-3 4.837344-5 2.676300-3 4.844593-5 2.676300-3 5.128898-5 3.801894-3 5.236221-5 5.559043-3 5.365090-5 8.222426-3 5.508152-5 1.174898-2 5.644883-5 1.603245-2 5.764983-5 1.894800-2 5.828194-5 1.894800-2 6.323970-5 3.758374-2 6.364534-5 9.015711-2 6.392520-5 4.073803-1 6.410580-5 1.000000+5 6.413655-5 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.730000-6 0.0 3.836000-5 0.0 3.836000-5 1.77674-10 3.890451-5 1.78995-10 4.030000-5 1.80881-10 4.058000-5 1.81086-10 4.058000-5 2.40369-10 4.220000-5 2.43489-10 4.731513-5 2.50905-10 5.069907-5 2.56986-10 5.450000-5 2.65610-10 5.800000-5 2.75211-10 6.237348-5 2.88947-10 6.345000-5 2.92560-10 6.345000-5 3.04273-10 6.850000-5 3.24150-10 7.161434-5 3.34612-10 7.470000-5 3.42772-10 7.762471-5 3.48191-10 8.040000-5 3.51198-10 8.317638-5 3.52272-10 8.650000-5 3.51409-10 9.015711-5 3.48530-10 9.660509-5 3.40324-10 1.110000-4 3.19409-10 1.205000-4 3.07905-10 1.303167-4 2.98519-10 1.400000-4 2.91455-10 1.513561-4 2.85283-10 1.640590-4 2.80472-10 1.778279-4 2.76962-10 1.949845-4 2.74525-10 2.118100-4 2.73376-10 2.118100-4 3.31700-10 2.145000-4 3.33501-10 2.148200-4 3.33974-10 2.148200-4 8.909870-9 2.160000-4 8.877312-9 2.167000-4 8.863448-9 2.175000-4 8.881943-9 2.182000-4 8.919451-9 2.188000-4 8.974903-9 2.195000-4 9.070390-9 2.202000-4 9.204994-9 2.207000-4 9.316636-9 2.213095-4 9.489055-9 2.219500-4 9.704995-9 2.225000-4 9.921306-9 2.231000-4 1.018261-8 2.238721-4 1.057018-8 2.247000-4 1.104090-8 2.257000-4 1.167120-8 2.275000-4 1.291073-8 2.295000-4 1.437531-8 2.313000-4 1.564792-8 2.328000-4 1.661773-8 2.344229-4 1.755563-8 2.359000-4 1.830232-8 2.370000-4 1.879022-8 2.381000-4 1.922149-8 2.400000-4 1.984722-8 2.420000-4 2.040152-8 2.450000-4 2.105899-8 2.465000-4 2.132799-8 2.507000-4 2.194298-8 2.550000-4 2.242369-8 2.600160-4 2.285093-8 2.630268-4 2.305773-8 2.691535-4 2.335459-8 2.754229-4 2.357337-8 2.930000-4 2.387111-8 3.200000-4 2.413512-8 3.390000-4 2.425445-8 3.592800-4 2.429717-8 3.592800-4 2.610347-8 3.752200-4 2.634170-8 3.752200-4 2.812722-8 3.797000-4 2.839045-8 3.895000-4 2.874536-8 4.073803-4 2.905693-8 4.559800-4 2.971281-8 4.559800-4 3.156067-8 6.000000-4 3.362868-8 7.079458-4 3.497687-8 8.609938-4 3.661557-8 1.047129-3 3.824907-8 1.244515-3 3.968839-8 1.479108-3 4.113235-8 1.778279-3 4.263715-8 2.089296-3 4.390374-8 2.369100-3 4.485863-8 2.369100-3 5.246476-5 2.466600-3 5.251373-5 2.466600-3 6.087216-5 2.676300-3 6.093530-5 2.676300-3 6.242106-5 4.216965-3 6.257454-5 1.737801-2 6.174179-5 1.894800-2 6.167831-5 1.894800-2 1.082736-2 2.570396-2 1.095100-2 3.672823-2 1.104964-2 5.888437-2 1.112288-2 1.230269-1 1.117240-2 1.479108+0 1.120249-2 1.000000+5 1.120220-2 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.730000-6 0.0 5.760000-6 3.000000-8 5.760000-6 4.379766-9 5.940000-6 1.836319-7 5.940000-6 1.204881-7 6.606934-6 7.828051-7 1.023293-5 4.402931-6 3.836000-5 3.252643-5 3.836000-5 2.962075-5 4.058000-5 3.178497-5 4.058000-5 3.112171-5 5.477200-5 4.493980-5 6.345000-5 5.321643-5 6.345000-5 5.256043-5 7.500000-5 6.297890-5 8.413951-5 7.167536-5 9.800000-5 8.557469-5 1.548817-4 1.435301-4 2.118100-4 2.007671-4 2.118100-4 1.982144-4 2.148200-4 2.011266-4 2.148200-4 1.999612-4 2.207000-4 2.049090-4 2.313000-4 2.119414-4 2.405000-4 2.198909-4 2.691535-4 2.477331-4 3.592800-4 3.376470-4 3.592800-4 3.365061-4 3.752200-4 3.523129-4 3.752200-4 3.518976-4 4.559800-4 4.320821-4 4.559800-4 4.311517-4 2.137962-3 2.107618-3 2.369100-3 2.338391-3 2.369100-3 2.270380-3 2.466600-3 2.367778-3 2.466600-3 2.357354-3 2.676300-3 2.566919-3 2.676300-3 2.562590-3 1.894800-2 1.882804-2 1.894800-2 8.057396-3 2.600160-2 1.498354-2 4.623810-2 3.508232-2 1.000000+5 9.999999+4 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.894800-2 1.154149+4 1.943000-2 1.082818+4 1.972423-2 1.038733+4 2.020000-2 9.805440+3 2.187762-2 7.965384+3 2.400000-2 6.283140+3 2.884032-2 3.861103+3 3.672823-2 2.001374+3 4.623810-2 1.054756+3 5.754399-2 5.674412+2 7.161434-2 3.024039+2 9.015711-2 1.546652+2 1.244515-1 5.994733+1 1.883649-1 1.767703+1 2.300000-1 9.873996+0 2.722701-1 6.082032+0 3.162278-1 3.984509+0 3.589219-1 2.805480+0 4.027170-1 2.053122+0 4.518559-1 1.513878+0 5.011872-1 1.158645+0 5.559043-1 8.929890-1 6.165950-1 6.934838-1 6.839117-1 5.427447-1 7.498942-1 4.394432-1 8.222427-1 3.581668-1 9.015711-1 2.939603-1 9.885531-1 2.430202-1 1.135011+0 1.844442-1 1.230269+0 1.579327-1 1.412538+0 1.221007-1 1.548817+0 1.034026-1 1.737801+0 8.463928-2 1.972423+0 6.845565-2 2.238721+0 5.580491-2 2.540973+0 4.584256-2 2.917427+0 3.728384-2 3.388442+0 3.004322-2 3.935501+0 2.439359-2 4.623810+0 1.963879-2 5.432503+0 1.592582-2 6.606934+0 1.244604-2 7.943282+0 9.946906-3 9.660509+0 7.883218-3 1.230269+1 5.965225-3 1.603245+1 4.432131-3 2.137962+1 3.234346-3 3.019952+1 2.234296-3 4.415704+1 1.499135-3 7.673615+1 8.478943-4 1.479108+2 4.347298-4 2.951209+2 2.164816-4 5.888437+2 1.081381-4 9.332543+3 6.804538-6 1.000000+5 6.349300-7 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.894800-2 6.410300-5 1.000000+5 6.410300-5 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.894800-2 1.270200-2 1.000000+5 1.270200-2 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.894800-2 6.181897-3 1.000000+5 9.999999+4 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.676300-3 4.922220+4 2.884032-3 4.381308+4 3.090295-3 3.923585+4 3.273407-3 3.571124+4 4.365158-3 2.154913+4 4.731513-3 1.855217+4 5.623413-3 1.335395+4 6.237348-3 1.087755+4 7.244360-3 8.032579+3 8.222426-3 6.160933+3 9.332543-3 4.698753+3 1.083927-2 3.380886+3 1.230269-2 2.541536+3 1.412538-2 1.849438+3 1.640590-2 1.300238+3 1.905461-2 9.069202+2 2.213095-2 6.277756+2 2.600160-2 4.190090+2 3.054921-2 2.774207+2 3.548134-2 1.878506+2 4.168694-2 1.225757+2 4.954502-2 7.697805+1 5.888437-2 4.798367+1 7.079458-2 2.877002+1 8.709636-2 1.604960+1 1.096478-1 8.323589+0 2.089296-1 1.301874+0 2.540973-1 7.448820-1 2.985383-1 4.736689-1 3.427678-1 3.235595-1 3.890451-1 2.297105-1 4.365158-1 1.693730-1 4.897788-1 1.257961-1 5.432503-1 9.693243-2 6.025596-1 7.522529-2 6.623700-1 6.007257-2 7.328245-1 4.764721-2 8.128305-1 3.785557-2 9.225714-1 2.883051-2 1.000000+0 2.439685-2 1.148154+0 1.853026-2 1.273503+0 1.518643-2 1.412538+0 1.253452-2 1.584893+0 1.020231-2 1.778279+0 8.363157-3 2.018366+0 6.773533-3 2.290868+0 5.529828-3 2.600160+0 4.548616-3 2.985383+0 3.704100-3 3.467369+0 2.988354-3 4.027170+0 2.429078-3 4.731513+0 1.957599-3 5.623413+0 1.565940-3 6.839116+0 1.225426-3 8.609938+0 9.279880-4 1.059254+1 7.277354-4 1.348963+1 5.522799-4 1.800000+1 4.008300-4 2.483133+1 2.828686-4 3.589219+1 1.913169-4 5.370318+1 1.257667-4 9.885531+1 6.725813-5 1.972423+2 3.339375-5 7.852356+2 8.328153-6 4.954502+4 1.316977-7 1.000000+5 6.524200-8 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.676300-3 7.078400-5 1.000000+5 7.078400-5 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.676300-3 7.260900-5 1.000000+5 7.260900-5 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.676300-3 2.532907-3 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.466600-3 1.148512+5 2.570396-3 1.035000+5 2.640000-3 9.734200+4 2.818383-3 8.273300+4 3.019952-3 6.910900+4 3.758374-3 3.842900+4 4.216965-3 2.803700+4 5.011872-3 1.725600+4 5.821032-3 1.118700+4 6.531306-3 7.980400+3 7.852356-3 4.595500+3 9.225714-3 2.806900+3 1.047129-2 1.894400+3 1.216186-2 1.182700+3 1.445440-2 6.808200+2 1.730000-2 3.798000+2 2.065380-2 2.118600+2 2.454709-2 1.190900+2 3.000000-2 6.051500+1 3.715352-2 2.916400+1 4.731513-2 1.267500+1 1.011580-1 9.029400-1 1.273503-1 4.078900-1 1.531088-1 2.174800-1 1.798871-1 1.263000-1 2.000000-1 8.874500-2 2.344229-1 5.273198-2 2.660725-1 3.505901-2 3.019952-1 2.348714-2 3.388442-1 1.643811-2 3.801894-1 1.159221-2 4.216965-1 8.524858-3 4.677351-1 6.313715-3 5.188000-1 4.711355-3 5.688529-1 3.656640-3 6.237348-1 2.856987-3 6.839117-1 2.246884-3 7.762471-1 1.624925-3 8.413951-1 1.331287-3 9.015711-1 1.129728-3 9.549926-1 9.908204-4 1.011579+0 8.741062-4 1.096478+0 7.394543-4 1.174898+0 6.448768-4 1.273503+0 5.540994-4 1.412538+0 4.592188-4 1.678804+0 3.391014-4 1.905461+0 2.735057-4 2.137962+0 2.266108-4 2.426610+0 1.856598-4 2.754229+0 1.531997-4 3.198895+0 1.230709-4 3.715352+0 9.964611-5 4.365158+0 8.000760-5 5.128614+0 6.471630-5 6.237348+0 5.045931-5 7.328245+0 4.136375-5 9.332543+0 3.097747-5 1.174898+1 2.372370-5 1.513561+1 1.783018-5 1.972423+1 1.332064-5 2.754229+1 9.300776-6 3.801894+1 6.614672-6 5.623413+1 4.404817-6 1.000000+2 2.441200-6 1.995262+2 1.212198-6 7.943282+2 3.023358-7 5.011872+4 4.781258-9 1.000000+5 2.396000-9 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.466600-3 5.373500-5 1.000000+5 5.373500-5 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.466600-3 8.257400-5 1.000000+5 8.257400-5 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.466600-3 2.330291-3 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 2.369100-3 2.398419+5 2.600160-3 1.913011+5 2.754229-3 1.651463+5 3.054921-3 1.249455+5 3.715352-3 7.319471+4 4.073803-3 5.660658+4 4.731513-3 3.698365+4 5.370318-3 2.553212+4 6.095369-3 1.755511+4 7.300000-3 1.016968+4 8.413951-3 6.560919+3 9.660509-3 4.256042+3 1.122018-2 2.643413+3 1.318257-2 1.569814+3 1.548817-2 9.247323+2 1.819701-2 5.405888+2 2.162719-2 3.017248+2 2.570396-2 1.671327+2 3.090295-2 8.832405+1 3.758374-2 4.450352+1 4.623810-2 2.137206+1 6.000000-2 8.427960+0 1.148154-1 8.190727-1 1.396368-1 4.079295-1 1.640590-1 2.312851-1 1.905461-1 1.374871-1 2.162719-1 8.912999-2 2.454709-1 5.821658-2 2.754229-1 3.982245-2 3.054921-1 2.849230-2 3.388442-1 2.053624-2 3.715352-1 1.545443-2 4.073803-1 1.170896-2 4.415705-1 9.240301-3 4.841724-1 7.100235-3 5.308844-1 5.497160-3 5.821032-1 4.288654-3 6.382635-1 3.371946-3 6.998420-1 2.672283-3 7.673615-1 2.134823-3 8.317638-1 1.765817-3 9.015711-1 1.470131-3 9.660509-1 1.262407-3 1.023293+0 1.118374-3 1.122018+0 9.280039-4 1.216186+0 7.934813-4 1.348963+0 6.542911-4 1.531087+0 5.214640-4 1.737801+0 4.183053-4 1.949845+0 3.446856-4 2.187762+0 2.859678-4 2.483133+0 2.346031-4 2.851018+0 1.905542-4 3.311311+0 1.533634-4 3.845918+0 1.243833-4 4.518559+0 1.000310-4 5.308844+0 8.103794-5 6.456542+0 6.327326-5 7.585776+0 5.193955-5 9.440609+0 4.001138-5 1.188502+1 3.065383-5 1.531087+1 2.304527-5 2.018366+1 1.700820-5 2.800000+1 1.196500-5 3.845918+1 8.556298-6 5.623413+1 5.766743-6 1.011579+2 3.158738-6 2.018366+2 1.568651-6 8.035261+2 3.912923-7 5.069907+4 6.188066-9 1.000000+5 3.136800-9 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 2.369100-3 5.206500-5 1.000000+5 5.206500-5 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.369100-3 7.199700-5 1.000000+5 7.199700-5 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.369100-3 2.245038-3 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 4.559800-4 1.530164+5 6.350000-4 1.054304+5 6.606934-4 1.004022+5 7.943282-4 7.895257+4 8.609938-4 7.055272+4 1.023293-3 5.477984+4 1.135011-3 4.672316+4 1.333521-3 3.615371+4 1.513561-3 2.932780+4 1.737801-3 2.320519+4 2.041738-3 1.750284+4 2.400000-3 1.308010+4 2.800000-3 9.834300+3 3.273407-3 7.313180+3 3.801894-3 5.469710+3 4.466836-3 3.971070+3 5.188000-3 2.929551+3 6.095369-3 2.095489+3 7.161434-3 1.487371+3 8.413951-3 1.047679+3 9.885531-3 7.324959+2 1.161449-2 5.081615+2 1.368040-2 3.477860+2 1.603245-2 2.389597+2 1.883649-2 1.619286+2 2.213095-2 1.088726+2 2.600160-2 7.263994+1 3.054921-2 4.810301+1 3.589219-2 3.162086+1 4.265795-2 2.001714+1 5.069907-2 1.257519+1 6.095369-2 7.598203+0 7.328245-2 4.556587+0 9.015711-2 2.543471+0 1.148154-1 1.277551+0 2.137962-1 2.144045-1 2.600160-1 1.229482-1 3.054921-1 7.832844-2 3.507519-1 5.358164-2 3.981072-1 3.810111-2 4.466836-1 2.814295-2 5.011872-1 2.094342-2 5.559043-1 1.616788-2 6.165950-1 1.257126-2 6.839117-1 9.850273-3 7.585776-1 7.778157-3 8.413951-1 6.187944-3 9.225714-1 5.084222-3 1.000000+0 4.308185-3 1.148154+0 3.271648-3 1.250000+0 2.780988-3 1.428894+0 2.169360-3 1.566751+0 1.838455-3 1.757924+0 1.505992-3 1.995262+0 1.218915-3 2.264644+0 9.943490-4 2.570396+0 8.173822-4 2.951209+0 6.652241-4 3.427678+0 5.363594-4 4.000000+0 4.329300-4 4.677351+0 3.509892-4 5.559043+0 2.806179-4 6.760830+0 2.195010-4 8.317638+0 1.707859-4 1.011579+1 1.355695-4 1.288250+1 1.027301-4 1.717908+1 7.451326-5 2.317395+1 5.380598-5 3.311311+1 3.677696-5 5.069907+1 2.356940-5 9.440609+1 1.244810-5 1.883649+2 6.177858-6 7.498942+2 1.540061-6 4.731513+4 2.435289-8 1.000000+5 1.152100-8 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 4.559800-4 4.527100-5 1.000000+5 4.527100-5 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.559800-4 7.230700-8 1.000000+5 7.230700-8 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.559800-4 4.106367-4 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 3.752200-4 1.569662+5 3.761000-4 1.621404+5 3.770000-4 1.660500+5 3.780000-4 1.693918+5 3.797000-4 1.739108+5 3.820000-4 1.787200+5 3.845918-4 1.831270+5 3.865000-4 1.856964+5 3.895000-4 1.886788+5 3.925000-4 1.904936+5 3.955000-4 1.913456+5 4.000000-4 1.913258+5 4.650000-4 1.811716+5 5.011872-4 1.738410+5 5.308844-4 1.676411+5 5.623413-4 1.602768+5 5.956621-4 1.523482+5 6.456542-4 1.406730+5 6.850000-4 1.318480+5 7.328245-4 1.214558+5 8.035261-4 1.076827+5 8.609938-4 9.781199+4 9.332543-4 8.672352+4 1.035142-3 7.364027+4 1.122018-3 6.441584+4 1.230269-3 5.486071+4 1.355400-3 4.604237+4 1.479108-3 3.904013+4 1.650000-3 3.152220+4 1.819701-3 2.583111+4 2.018366-3 2.078286+4 2.238721-3 1.659578+4 2.500000-3 1.296714+4 2.818383-3 9.834393+3 3.150000-3 7.551060+3 3.507519-3 5.811729+3 3.981072-3 4.234470+3 4.518559-3 3.058628+3 5.128614-3 2.191083+3 5.821032-3 1.557220+3 6.606934-3 1.098298+3 7.585776-3 7.442295+2 8.709636-3 5.001106+2 1.000000-2 3.333980+2 1.148154-2 2.205803+2 1.318257-2 1.448417+2 1.513561-2 9.441915+1 1.757924-2 5.894745+1 2.041738-2 3.653024+1 2.398833-2 2.165170+1 2.851018-2 1.226504+1 3.427678-2 6.636838+0 4.168694-2 3.429734+0 5.248075-2 1.564724+0 7.244360-2 5.166317-1 1.109175-1 1.191662-1 1.380384-1 5.646215-2 1.640590-1 3.153622-2 1.927525-1 1.844293-2 2.238721-1 1.128697-2 2.570396-1 7.226793-3 2.917427-1 4.837883-3 3.273407-1 3.382554-3 3.672823-1 2.382347-3 4.073803-1 1.749580-3 4.518559-1 1.293821-3 5.011872-1 9.637875-4 5.559043-1 7.235248-4 6.095369-1 5.645101-4 6.683439-1 4.433719-4 7.328245-1 3.505085-4 8.609938-1 2.351218-4 9.225714-1 1.995000-4 9.772372-1 1.750405-4 1.035142+0 1.545804-4 1.109175+0 1.340167-4 1.188600+0 1.169901-4 1.318257+0 9.658783-5 1.479108+0 7.863753-5 1.717908+0 6.054873-5 1.927525+0 4.984520-5 2.162719+0 4.132462-5 2.454709+0 3.387875-5 2.818383+0 2.749878-5 3.273407+0 2.211837-5 3.801894+0 1.792900-5 4.466836+0 1.441092-5 5.248075+0 1.166867-5 6.382635+0 9.106628-6 7.498942+0 7.472060-6 9.440609+0 5.676575-6 1.202264+1 4.292260-6 1.548817+1 3.227997-6 2.041738+1 2.383016-6 2.818383+1 1.685808-6 3.890451+1 1.199408-6 5.688529+1 8.085319-7 1.011579+2 4.481534-7 2.018366+2 2.225558-7 8.035261+2 5.551390-8 5.069907+4 8.77937-10 1.000000+5 4.45040-10 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 3.752200-4 3.467500-5 1.000000+5 3.467500-5 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.752200-4 7.727700-8 1.000000+5 7.727700-8 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.752200-4 3.404677-4 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 3.592800-4 3.996895+5 3.643000-4 4.090648+5 3.740000-4 4.225542+5 3.790000-4 4.279406+5 3.890451-4 4.349708+5 3.950000-4 4.367965+5 4.000000-4 4.370323+5 4.100000-4 4.331498+5 4.365158-4 4.211043+5 4.570882-4 4.095509+5 5.080000-4 3.788588+5 5.370318-4 3.608866+5 5.754399-4 3.372560+5 6.309573-4 3.049772+5 6.700000-4 2.836584+5 7.244360-4 2.558851+5 7.943282-4 2.249368+5 8.511380-4 2.029917+5 9.225714-4 1.787491+5 1.023293-3 1.506121+5 1.110000-3 1.308080+5 1.230269-3 1.085618+5 1.355400-3 9.045362+4 1.513561-3 7.283763+4 1.659587-3 6.040718+4 1.862087-3 4.741477+4 2.065380-3 3.784471+4 2.317395-3 2.923028+4 2.600160-3 2.238855+4 2.900000-3 1.726520+4 3.273407-3 1.283834+4 3.715352-3 9.335862+3 4.216965-3 6.729498+3 4.786301-3 4.809970+3 5.370318-3 3.519201+3 6.025596-3 2.558098+3 6.800000-3 1.817644+3 7.673615-3 1.283026+3 8.709636-3 8.845885+2 9.885531-3 6.056878+2 1.135011-2 3.977105+2 1.303167-2 2.590770+2 1.500000-2 1.661380+2 1.737801-2 1.035673+2 2.018366-2 6.354313+1 2.344229-2 3.869734+1 2.754229-2 2.251118+1 3.235937-2 1.299993+1 3.890451-2 6.885886+0 4.731513-2 3.477591+0 5.956621-2 1.543837+0 1.202264-1 1.267526-1 1.479108-1 6.099214-2 1.737801-1 3.475734-2 2.000000-1 2.141416-2 2.264644-1 1.405171-2 2.540973-1 9.575701-3 2.851018-1 6.574280-3 3.162278-1 4.719815-3 3.507519-1 3.413615-3 3.845918-1 2.576891-3 4.216965-1 1.959094-3 4.623810-1 1.500380-3 5.069907-1 1.157645-3 5.559043-1 9.000855-4 6.095369-1 7.053137-4 6.606935-1 5.735561-4 7.161434-1 4.692889-4 7.762471-1 3.863643-4 8.511380-1 3.113089-4 9.120108-1 2.663004-4 9.772372-1 2.292757-4 1.059254+0 1.941560-4 1.161449+0 1.616534-4 1.273503+0 1.355474-4 1.412538+0 1.120885-4 1.640590+0 8.603169-5 1.862087+0 6.930513-5 2.089296+0 5.734333-5 2.371374+0 4.691407-5 2.691535+0 3.866360-5 3.090295+0 3.154173-5 3.589219+0 2.549257-5 4.216965+0 2.043444-5 4.954502+0 1.650331-5 5.956621+0 1.303653-5 7.079458+0 1.051811-5 9.120108+0 7.760740-6 1.148154+1 5.938990-6 1.479108+1 4.460405-6 1.949845+1 3.288850-6 2.722701+1 2.295678-6 3.801894+1 1.612787-6 5.623413+1 1.074056-6 1.000000+2 5.952300-7 1.995262+2 2.955667-7 7.943282+2 7.371917-8 5.011872+4 1.165834-9 1.000000+5 5.84200-10 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 3.592800-4 3.454800-5 1.000000+5 3.454800-5 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.592800-4 4.481600-8 1.000000+5 4.481600-8 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.592800-4 3.246872-4 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.148200-4 1.127024+5 2.157000-4 1.126408+5 2.167000-4 1.133236+5 2.175000-4 1.146864+5 2.182000-4 1.165580+5 2.188000-4 1.188232+5 2.195000-4 1.223552+5 2.201000-4 1.262520+5 2.207000-4 1.310512+5 2.213095-4 1.369797+5 2.219500-4 1.444808+5 2.225000-4 1.520736+5 2.231000-4 1.616712+5 2.238721-4 1.762190+5 2.247000-4 1.947688+5 2.255000-4 2.157928+5 2.270000-4 2.636904+5 2.285000-4 3.225024+5 2.295000-4 3.672228+5 2.305000-4 4.156520+5 2.313000-4 4.565400+5 2.321000-4 4.988880+5 2.328000-4 5.367720+5 2.336000-4 5.806040+5 2.344229-4 6.259747+5 2.351000-4 6.632240+5 2.359000-4 7.068880+5 2.370000-4 7.658480+5 2.381000-4 8.233280+5 2.392000-4 8.788680+5 2.405000-4 9.421400+5 2.420000-4 1.011600+6 2.435000-4 1.077624+6 2.450000-4 1.140084+6 2.465000-4 1.199456+6 2.485000-4 1.273636+6 2.507000-4 1.348964+6 2.530000-4 1.420640+6 2.550000-4 1.477160+6 2.573000-4 1.535000+6 2.600160-4 1.593868+6 2.630268-4 1.647616+6 2.660725-4 1.690698+6 2.691535-4 1.724244+6 2.730000-4 1.754360+6 2.754229-4 1.768001+6 2.800000-4 1.785244+6 2.851018-4 1.795601+6 2.930000-4 1.799628+6 3.019952-4 1.791762+6 3.100000-4 1.774440+6 3.180000-4 1.748332+6 3.280000-4 1.705116+6 3.390000-4 1.648856+6 3.550000-4 1.560544+6 3.715352-4 1.468726+6 3.890451-4 1.372587+6 4.073803-4 1.273500+6 4.315191-4 1.149239+6 4.600000-4 1.017516+6 4.850000-4 9.144840+5 5.150000-4 8.045400+5 5.559043-4 6.778057+5 6.000000-4 5.670960+5 6.500000-4 4.665320+5 7.161434-4 3.652189+5 7.800000-4 2.923504+5 8.700000-4 2.179312+5 9.549926-4 1.684808+5 1.071519-3 1.215013+5 1.174898-3 9.294085+4 1.318257-3 6.595303+4 1.462177-3 4.806854+4 1.621810-3 3.481099+4 1.819701-3 2.413476+4 2.041738-3 1.660681+4 2.264644-3 1.179084+4 2.540973-3 8.005318+3 2.884032-3 5.186807+3 3.273407-3 3.332625+3 3.715352-3 2.123717+3 4.216965-3 1.342301+3 4.731513-3 8.786215+2 5.308844-3 5.715552+2 6.025596-3 3.537649+2 6.918310-3 2.079877+2 7.943282-3 1.213682+2 9.120108-3 7.028387+1 1.047129-2 4.039972+1 1.216186-2 2.199946+1 1.412538-2 1.188715+1 1.640590-2 6.375360+0 1.949845-2 3.082107+0 2.371374-2 1.341541+0 3.000000-2 4.896240-1 4.027170-2 1.374465-1 6.531306-2 1.691417-2 8.222426-2 6.277175-3 9.885531-2 2.859203-3 1.161449-1 1.446442-3 1.348963-1 7.737289-4 1.548817-1 4.374748-4 1.757924-1 2.612421-4 1.972423-1 1.645774-4 2.213095-1 1.044250-4 2.483133-1 6.675988-5 2.754229-1 4.493890-5 3.090295-1 2.917303-5 3.388442-1 2.077095-5 3.715352-1 1.488894-5 4.027170-1 1.119506-5 4.415705-1 8.149256-6 4.841724-1 5.977192-6 5.308844-1 4.417963-6 5.888437-1 3.169614-6 6.606935-1 2.201266-6 7.079458-1 1.778906-6 7.498942-1 1.497298-6 8.035261-1 1.226545-6 8.609938-1 1.009912-6 9.120108-1 8.650489-7 9.549926-1 7.691747-7 1.000000+0 6.887494-7 1.059254+0 6.059143-7 1.122018+0 5.371619-7 1.188600+0 4.795000-7 1.273503+0 4.219485-7 1.396368+0 3.587178-7 1.531087+0 3.063382-7 1.798871+0 2.317571-7 2.000000+0 1.941000-7 2.264644+0 1.589803-7 2.570396+0 1.306858-7 2.951209+0 1.063483-7 3.427678+0 8.574534-8 4.000000+0 6.921000-8 4.677351+0 5.611019-8 5.559043+0 4.486011-8 6.760830+0 3.509024-8 8.317638+0 2.730234-8 1.011579+1 2.167255-8 1.288250+1 1.642282-8 1.717908+1 1.191197-8 2.290868+1 8.708664-9 3.273407+1 5.950961-9 5.069907+1 3.767840-9 9.549926+1 1.966769-9 1.905461+2 9.76182-10 7.585776+2 2.43385-10 4.786301+4 3.84858-12 1.000000+5 1.84180-12 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.148200-4 2.236900-5 1.000000+5 2.236900-5 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.148200-4 6.464800-8 1.000000+5 6.464800-8 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.148200-4 1.923864-4 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.118100-4 1.631820+5 2.127000-4 1.637970+5 2.137000-4 1.655706+5 2.145000-4 1.681248+5 2.153000-4 1.719660+5 2.160000-4 1.766508+5 2.165000-4 1.808982+5 2.170000-4 1.859994+5 2.175000-4 1.920438+5 2.182000-4 2.022810+5 2.188000-4 2.128974+5 2.195000-4 2.276838+5 2.202000-4 2.453214+5 2.210000-4 2.693010+5 2.217000-4 2.938884+5 2.225000-4 3.263436+5 2.257000-4 5.040750+5 2.265000-4 5.596404+5 2.275000-4 6.341280+5 2.285000-4 7.130880+5 2.292000-4 7.703160+5 2.300000-4 8.370300+5 2.308000-4 9.045240+5 2.317395-4 9.840022+5 2.327000-4 1.064700+6 2.335000-4 1.130994+6 2.345000-4 1.212204+6 2.355000-4 1.291224+6 2.365000-4 1.367826+6 2.378000-4 1.463628+6 2.392000-4 1.562040+6 2.405000-4 1.649136+6 2.420000-4 1.744734+6 2.435000-4 1.835322+6 2.454709-4 1.947028+6 2.473000-4 2.043396+6 2.490000-4 2.126676+6 2.515000-4 2.237976+6 2.540973-4 2.339353+6 2.565000-4 2.420250+6 2.590000-4 2.491638+6 2.615000-4 2.550810+6 2.650000-4 2.615310+6 2.691535-4 2.668780+6 2.730000-4 2.701182+6 2.786121-4 2.728040+6 2.851018-4 2.739882+6 2.930000-4 2.737002+6 3.019952-4 2.715940+6 3.100000-4 2.682198+6 3.198895-4 2.622883+6 3.311311-4 2.538124+6 3.430000-4 2.438406+6 3.600000-4 2.291592+6 3.780000-4 2.138136+6 3.935501-4 2.007473+6 4.120975-4 1.855651+6 4.365158-4 1.668478+6 4.651000-4 1.473602+6 4.954502-4 1.292577+6 5.248075-4 1.139336+6 5.688529-4 9.469193+5 6.165950-4 7.813153+5 6.683439-4 6.394253+5 7.328245-4 5.047806+5 8.035261-4 3.956433+5 8.912509-4 2.983170+5 9.885531-4 2.232163+5 1.096478-3 1.657251+5 1.216186-3 1.221597+5 1.355400-3 8.809620+4 1.500000-3 6.445440+4 1.678804-3 4.520710+4 1.862087-3 3.240158+4 2.089296-3 2.222473+4 2.371374-3 1.455818+4 2.695000-3 9.413132+3 3.054921-3 6.088510+3 3.467369-3 3.888227+3 3.935501-3 2.462414+3 4.415704-3 1.614047+3 4.954502-3 1.051182+3 5.559043-3 6.803881+2 6.309573-3 4.187720+2 7.161434-3 2.560274+2 8.222426-3 1.485320+2 9.440609-3 8.553130+1 1.083927-2 4.887720+1 1.244515-2 2.772017+1 1.445440-2 1.487801+1 1.678804-2 7.924858+0 1.972423-2 3.992047+0 2.371374-2 1.808992+0 2.951209-2 7.006842-1 3.845918-2 2.204576-1 7.498942-2 1.176309-2 9.885531-2 3.527540-3 1.135011-1 1.946490-3 1.303167-1 1.082302-3 1.479108-1 6.365822-4 1.659587-1 3.952418-4 1.840772-1 2.590030-4 2.041738-1 1.709021-4 2.238721-1 1.188654-4 2.454709-1 8.322638-5 2.691535-1 5.869641-5 2.951209-1 4.172245-5 3.198895-1 3.115788-5 3.467369-1 2.341452-5 3.801894-1 1.701872-5 4.216965-1 1.199158-5 4.570882-1 9.195175-6 4.954502-1 7.099161-6 5.370318-1 5.517828-6 5.754399-1 4.475648-6 6.025596-1 3.908898-6 6.456542-1 3.225843-6 6.998420-1 2.600206-6 8.035261-1 1.818292-6 8.709636-1 1.461794-6 9.225714-1 1.258386-6 9.660509-1 1.122318-6 1.011579+0 1.007184-6 1.071519+0 8.871093-7 1.135011+0 7.874520-7 1.202264+0 7.039973-7 1.288250+0 6.201722-7 1.412538+0 5.279077-7 1.531087+0 4.599556-7 1.798871+0 3.479949-7 2.000000+0 2.914300-7 2.264644+0 2.386831-7 2.570396+0 1.962033-7 2.951209+0 1.596702-7 3.427678+0 1.287362-7 4.000000+0 1.039100-7 4.677351+0 8.424467-8 5.559043+0 6.735440-8 6.760830+0 5.268400-8 8.317638+0 4.099285-8 1.011579+1 3.253890-8 1.288250+1 2.465803-8 1.698244+1 1.811327-8 2.264644+1 1.323831-8 3.198895+1 9.154932-9 4.897788+1 5.862915-9 9.332543+1 3.023119-9 1.862087+2 1.500105-9 7.413102+2 3.73941-10 2.344229+4 1.17957-11 1.000000+5 2.76540-12 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.118100-4 2.250800-5 1.000000+5 2.250800-5 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.118100-4 5.35340-10 1.000000+5 5.35340-10 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.118100-4 1.893015-4 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 6.345000-5 1.632306+5 6.500000-5 1.700336+5 6.657300-5 1.757481+5 6.850000-5 1.814652+5 7.079458-5 1.868254+5 7.328245-5 1.913598+5 7.673615-5 1.961077+5 8.035261-5 1.996905+5 8.511380-5 2.028879+5 9.015711-5 2.048371+5 9.549926-5 2.055135+5 1.011579-4 2.047922+5 1.071519-4 2.025421+5 1.122018-4 1.995982+5 1.188502-4 1.945666+5 1.260000-4 1.881348+5 1.333521-4 1.809100+5 1.428894-4 1.712832+5 1.566751-4 1.578935+5 1.720000-4 1.443424+5 1.883649-4 1.313734+5 2.041738-4 1.200947+5 2.238721-4 1.075803+5 2.511886-4 9.293405+4 2.851018-4 7.854612+4 3.200000-4 6.691720+4 3.630781-4 5.572020+4 4.315191-4 4.300889+4 5.011872-4 3.409321+4 6.095369-4 2.494808+4 7.500000-4 1.775494+4 9.120108-4 1.279332+4 1.122018-3 8.975417+3 1.364583-3 6.376766+3 1.640590-3 4.590184+3 1.949845-3 3.349609+3 2.317395-3 2.427388+3 2.754229-3 1.746194+3 3.311311-3 1.219552+3 3.981072-3 8.451043+2 4.731513-3 5.948887+2 5.623413-3 4.156778+2 6.606934-3 2.953444+2 7.762471-3 2.083595+2 9.120108-3 1.459461+2 1.071519-2 1.014982+2 1.258925-2 7.007133+1 1.479108-2 4.801491+1 1.737801-2 3.264945+1 2.041738-2 2.203215+1 2.426610-2 1.433582+1 2.851018-2 9.527007+0 3.349654-2 6.283621+0 3.981072-2 3.991102+0 4.731513-2 2.515587+0 5.559043-2 1.623617+0 6.760830-2 9.463886-1 8.317638-2 5.301727-1 1.023293-1 2.949465-1 2.187762-1 3.336279-2 2.630268-1 1.978321-2 3.090295-1 1.261156-2 3.548134-1 8.633223-3 4.027170-1 6.143601-3 4.518559-1 4.541323-3 5.011872-1 3.482234-3 5.559043-1 2.688299-3 6.165950-1 2.090339-3 6.839117-1 1.637941-3 7.585776-1 1.293408-3 8.413951-1 1.028968-3 9.225714-1 8.454192-4 1.000000+0 7.163800-4 1.148154+0 5.440235-4 1.250000+0 4.624200-4 1.428894+0 3.607115-4 1.566751+0 3.056904-4 1.757924+0 2.504105-4 1.995262+0 2.026763-4 2.264644+0 1.653342-4 2.570396+0 1.359082-4 2.951209+0 1.106078-4 3.427678+0 8.918247-5 4.000000+0 7.198600-5 4.677351+0 5.836146-5 5.559043+0 4.666010-5 6.760830+0 3.649724-5 8.317638+0 2.839784-5 1.011579+1 2.254183-5 1.288250+1 1.708249-5 1.698244+1 1.254818-5 2.290868+1 9.057988-6 3.273407+1 6.189754-6 5.069907+1 3.918959-6 9.549926+1 2.045673-6 1.905461+2 1.015353-6 7.585776+2 2.531408-7 4.786301+4 4.002965-9 1.000000+5 1.915700-9 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 6.345000-5 1.739600-5 1.000000+5 1.739600-5 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 6.345000-5 4.20450-10 1.000000+5 4.20450-10 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 6.345000-5 4.605358-5 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 4.058000-5 2.732940+6 4.105000-5 2.658400+6 4.168694-5 2.544951+6 4.240000-5 2.411920+6 4.365158-5 2.181038+6 4.518559-5 1.918358+6 4.720000-5 1.619174+6 4.954502-5 1.330423+6 5.248075-5 1.045167+6 5.623413-5 7.761905+5 6.165950-5 5.205516+5 6.500000-5 4.166480+5 6.760830-5 3.552221+5 7.000000-5 3.104840+5 7.244360-5 2.737671+5 7.498942-5 2.431136+5 7.737400-5 2.199564+5 7.943282-5 2.034243+5 8.150000-5 1.894590+5 8.400000-5 1.754518+5 8.650000-5 1.639974+5 8.912509-5 1.541669+5 9.225714-5 1.447661+5 9.500000-5 1.381760+5 9.800000-5 1.323486+5 1.011579-4 1.274456+5 1.047129-4 1.230995+5 1.083927-4 1.195983+5 1.135011-4 1.159477+5 1.202264-4 1.125331+5 1.303167-4 1.089842+5 1.548817-4 1.025635+5 1.698244-4 9.869601+4 1.850000-4 9.461220+4 2.000000-4 9.042780+4 2.162719-4 8.582924+4 2.350000-4 8.061140+4 2.580000-4 7.451600+4 2.818383-4 6.868880+4 3.090295-4 6.262346+4 3.388442-4 5.664680+4 3.758374-4 5.019515+4 4.168694-4 4.415301+4 4.570882-4 3.914316+4 5.069907-4 3.394039+4 5.688529-4 2.875291+4 6.382635-4 2.416589+4 7.244360-4 1.979184+4 8.200000-4 1.614744+4 9.225714-4 1.320363+4 1.035142-3 1.077344+4 1.161449-3 8.728253+3 1.303167-3 7.023673+3 1.462177-3 5.608165+3 1.640590-3 4.444889+3 1.840772-3 3.496953+3 2.065380-3 2.730607+3 2.317395-3 2.116053+3 2.600160-3 1.627977+3 2.917427-3 1.243676+3 3.273407-3 9.436565+2 3.672823-3 7.112173+2 4.168694-3 5.171272+2 4.731513-3 3.730640+2 5.370318-3 2.670406+2 6.095369-3 1.896941+2 6.918310-3 1.337528+2 7.852356-3 9.360698+1 9.015711-3 6.292834+1 1.035142-2 4.196700+1 1.188502-2 2.777258+1 1.364583-2 1.824318+1 1.566751-2 1.189865+1 1.840772-2 7.172142+0 2.113489-2 4.615314+0 2.454709-2 2.841774+0 2.884032-2 1.673461+0 3.467369-2 9.065685-1 4.265795-2 4.511238-1 5.308844-2 2.142916-1 1.148154-1 1.514558-2 1.428894-1 7.190771-3 1.717908-1 3.868251-3 2.000000-1 2.335101-3 2.290868-1 1.497691-3 2.600160-1 9.963087-4 2.951209-1 6.675926-4 3.311311-1 4.671605-4 3.715352-1 3.293128-4 4.120975-1 2.420545-4 4.570882-1 1.791639-4 5.069907-1 1.335810-4 5.623413-1 1.003592-4 6.165950-1 7.835507-5 6.760830-1 6.157748-5 7.413102-1 4.871014-5 8.609938-1 3.363209-5 9.225714-1 2.853969-5 9.772372-1 2.504326-5 1.035142+0 2.211833-5 1.109175+0 1.917666-5 1.188600+0 1.674000-5 1.318257+0 1.382036-5 1.479108+0 1.125154-5 1.717908+0 8.663434-6 1.927525+0 7.131860-6 2.162719+0 5.912435-6 2.454709+0 4.847085-6 2.786121+0 4.002199-6 3.235937+0 3.217198-6 3.758374+0 2.606345-6 4.415704+0 2.093825-6 5.188000+0 1.694514-6 6.309573+0 1.321805-6 7.413102+0 1.084064-6 9.332543+0 8.232449-7 1.174898+1 6.304838-7 1.513561+1 4.738441-7 2.000000+1 3.486900-7 2.786121+1 2.441747-7 3.845918+1 1.736872-7 5.688529+1 1.156803-7 1.011579+2 6.412061-8 2.018366+2 3.184268-8 8.035261+2 7.942832-9 5.069907+4 1.25615-10 1.000000+5 6.36750-11 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 4.058000-5 1.171000-5 1.000000+5 1.171000-5 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.058000-5 4.41670-10 1.000000+5 4.41670-10 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.058000-5 2.886956-5 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 3.836000-5 5.676960+6 3.890451-5 5.458717+6 3.960000-5 5.158160+6 4.030000-5 4.854800+6 4.168694-5 4.283476+6 4.350000-5 3.627656+6 4.570882-5 2.968549+6 4.841724-5 2.335723+6 5.688529-5 1.176313+6 5.956621-5 9.725082+5 6.165950-5 8.475174+5 6.400000-5 7.355280+5 6.606934-5 6.559790+5 6.800000-5 5.949560+5 7.000000-5 5.426280+5 7.230000-5 4.934880+5 7.450000-5 4.553240+5 7.673615-5 4.235781+5 7.900000-5 3.972296+5 8.150000-5 3.735172+5 8.413951-5 3.533217+5 8.709636-5 3.352825+5 9.015711-5 3.205331+5 9.332543-5 3.084741+5 9.660509-5 2.986086+5 1.011579-4 2.881516+5 1.060000-4 2.799048+5 1.122018-4 2.720578+5 1.428894-4 2.470289+5 1.580000-4 2.356356+5 1.720000-4 2.249004+5 1.862087-4 2.139210+5 2.018366-4 2.019540+5 2.187762-4 1.892911+5 2.400000-4 1.743124+5 2.630268-4 1.594807+5 2.900000-4 1.439848+5 3.162278-4 1.305963+5 3.507519-4 1.152696+5 3.935501-4 9.946965+4 4.365158-4 8.647761+4 4.841724-4 7.464212+4 5.432503-4 6.290608+4 6.095369-4 5.263285+4 6.918310-4 4.288329+4 7.852356-4 3.466660+4 8.810489-4 2.836114+4 9.885531-4 2.305325+4 1.109175-3 1.860982+4 1.244515-3 1.492757+4 1.396368-3 1.188289+4 1.566751-3 9.388908+3 1.757924-3 7.364325+3 1.972423-3 5.733942+3 2.213095-3 4.431223+3 2.483133-3 3.399667+3 2.786121-3 2.589761+3 3.126079-3 1.959086+3 3.507519-3 1.471898+3 3.981072-3 1.066410+3 4.518559-3 7.665664+2 5.128614-3 5.466980+2 5.821032-3 3.868451+2 6.606934-3 2.715867+2 7.498942-3 1.892706+2 8.511380-3 1.309500+2 9.772372-3 8.691439+1 1.122018-2 5.722633+1 1.288250-2 3.738483+1 1.479108-2 2.423820+1 1.698244-2 1.559978+1 1.927525-2 1.034615+1 2.264644-2 6.086249+0 2.660725-2 3.553068+0 3.126079-2 2.058847+0 3.715352-2 1.138334+0 4.518559-2 5.769088-1 5.432503-2 3.022163-1 7.244360-2 1.089943-1 1.230269-1 1.658118-2 1.500000-1 8.248891-3 1.757924-1 4.746497-3 2.018366-1 2.953168-3 2.290868-1 1.924436-3 2.570396-1 1.312684-3 2.884032-1 9.020649-4 3.198895-1 6.481841-4 3.548134-1 4.692495-4 3.890451-1 3.545441-4 4.265795-1 2.697972-4 4.677351-1 2.068152-4 5.128614-1 1.597271-4 5.623413-1 1.243180-4 6.095369-1 1.004939-4 6.606935-1 8.176064-5 7.161434-1 6.693163-5 7.852356-1 5.364656-5 8.609938-1 4.325101-5 9.225714-1 3.702336-5 9.885531-1 3.190351-5 1.083927+0 2.641095-5 1.174898+0 2.251721-5 1.288250+0 1.891394-5 1.428894+0 1.565552-5 1.640590+0 1.226491-5 1.862087+0 9.880097-6 2.089296+0 8.174985-6 2.371374+0 6.688303-6 2.691535+0 5.512071-6 3.090295+0 4.496690-6 3.589219+0 3.634267-6 4.216965+0 2.913160-6 4.954502+0 2.352743-6 5.956621+0 1.858498-6 7.079458+0 1.499505-6 9.120108+0 1.106346-6 1.148154+1 8.466710-7 1.479108+1 6.358865-7 1.949845+1 4.688624-7 2.722701+1 3.272725-7 3.801894+1 2.299303-7 5.623413+1 1.531142-7 1.000000+2 8.485700-8 1.995262+2 4.213575-8 7.943282+2 1.050958-8 5.011872+4 1.66196-10 1.000000+5 8.32850-11 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 3.836000-5 1.164100-5 1.000000+5 1.164100-5 1 41000 7 7 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.836000-5 3.55130-10 1.000000+5 3.55130-10 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.836000-5 2.671864-5 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 5.940000-6 4.176784+6 6.237348-6 4.521515+6 6.531306-6 4.836312+6 6.839116-6 5.136487+6 7.161434-6 5.423693+6 7.600000-6 5.774368+6 8.035261-6 6.085562+6 8.609938-6 6.446922+6 9.332543-6 6.846598+6 1.023293-5 7.275496+6 1.135011-5 7.728705+6 1.273503-5 8.202023+6 1.396368-5 8.551447+6 1.513561-5 8.810077+6 1.621810-5 8.980090+6 1.717908-5 9.069245+6 1.800000-5 9.092336+6 1.883649-5 9.061458+6 1.972423-5 8.967813+6 2.041738-5 8.852707+6 2.113489-5 8.696096+6 2.190000-5 8.488752+6 2.270000-5 8.230992+6 2.350000-5 7.937440+6 2.426610-5 7.629727+6 2.511886-5 7.264434+6 2.600160-5 6.868925+6 2.691535-5 6.449115+6 2.786121-5 6.012315+6 2.884032-5 5.566829+6 2.985383-5 5.120480+6 3.090295-5 4.679745+6 3.198895-5 4.249883+6 3.311311-5 3.835771+6 3.450000-5 3.370064+6 3.589219-5 2.952176+6 3.730000-5 2.576896+6 3.850000-5 2.291568+6 4.000000-5 1.975840+6 4.150000-5 1.701152+6 4.300000-5 1.462501+6 4.450000-5 1.255318+6 4.570882-5 1.108600+6 4.731513-5 9.383467+5 4.897788-5 7.880785+5 5.011872-5 6.982806+5 5.150000-5 6.022752+5 5.308844-5 5.070630+5 5.477200-5 4.216469+5 5.623413-5 3.586259+5 5.754399-5 3.097850+5 5.900000-5 2.628672+5 6.070000-5 2.166288+5 6.237348-5 1.788366+5 6.400000-5 1.483386+5 6.606934-5 1.169461+5 7.161434-5 6.311086+4 7.328245-5 5.320816+4 7.450000-5 4.733264+4 7.580000-5 4.214544+4 7.690000-5 3.852752+4 7.762471-5 3.648963+4 7.852356-5 3.430806+4 7.950000-5 3.233328+4 8.040000-5 3.084224+4 8.128305-5 2.965638+4 8.222426-5 2.866547+4 8.317638-5 2.792110+4 8.413951-5 2.740490+4 8.511380-5 2.709959+4 8.610000-5 2.698832+4 8.709636-5 2.705575+4 8.810489-5 2.728693+4 8.912509-5 2.766799+4 9.015711-5 2.818579+4 9.150000-5 2.903136+4 9.332543-5 3.043668+4 9.549926-5 3.240374+4 1.040000-4 4.160240+4 1.071519-4 4.514594+4 1.106700-4 4.896968+4 1.135011-4 5.190045+4 1.170000-4 5.528688+4 1.205000-4 5.836832+4 1.244515-4 6.148369+4 1.288250-4 6.448866+4 1.333521-4 6.709085+4 1.380384-4 6.930679+4 1.430000-4 7.117008+4 1.480000-4 7.256320+4 1.540000-4 7.372928+4 1.603245-4 7.439259+4 1.680000-4 7.457248+4 1.750000-4 7.422304+4 1.819701-4 7.347206+4 1.905461-4 7.213558+4 2.000000-4 7.026144+4 2.113489-4 6.766907+4 2.213095-4 6.518044+4 2.344229-4 6.174272+4 2.483133-4 5.804099+4 2.630268-4 5.417586+4 2.786121-4 5.023892+4 2.951209-4 4.631053+4 3.162278-4 4.175717+4 3.388442-4 3.738875+4 3.630781-4 3.324557+4 3.890451-4 2.937165+4 4.216965-4 2.523575+4 4.570882-4 2.152302+4 4.954502-4 1.822911+4 5.370318-4 1.534198+4 5.888437-4 1.250635+4 6.456542-4 1.012314+4 7.079458-4 8.138056+3 7.762471-4 6.498730+3 8.511380-4 5.154348+3 9.440609-4 3.940299+3 1.047129-3 2.988143+3 1.161449-3 2.248146+3 1.288250-3 1.678235+3 1.428894-3 1.243197+3 1.584893-3 9.138837+2 1.757924-3 6.668209+2 1.949845-3 4.831140+2 2.162719-3 3.476319+2 2.426610-3 2.393071+2 2.660725-3 1.764326+2 2.985383-3 1.197772+2 3.349654-3 8.074775+1 3.758374-3 5.404919+1 4.216965-3 3.591749+1 4.731513-3 2.369857+1 5.308844-3 1.552848+1 6.025596-3 9.678818+0 6.839116-3 5.986512+0 7.762471-3 3.675984+0 8.912509-3 2.142784+0 1.023293-2 1.239334+0 1.174898-2 7.113303-1 1.348963-2 4.053778-1 1.566751-2 2.187762-1 1.840772-2 1.116938-1 2.213095-2 5.137494-2 2.722701-2 2.126440-2 3.467369-2 7.534542-3 7.079458-2 3.455527-4 8.912509-2 1.287016-4 1.059254-1 6.176794-5 1.244515-1 3.136218-5 1.428894-1 1.766277-5 1.640590-1 1.001853-5 1.862087-1 6.001461-6 2.089296-1 3.793558-6 2.344229-1 2.416241-6 2.600160-1 1.620810-6 2.884032-1 1.094528-6 3.198895-1 7.440729-7 3.548134-1 5.096087-7 3.890451-1 3.665759-7 4.265795-1 2.656861-7 4.677351-1 1.939614-7 5.188000-1 1.372292-7 5.688529-1 1.016248-7 6.165950-1 7.865953-8 6.683439-1 6.130579-8 7.244360-1 4.808395-8 7.943282-1 3.670394-8 8.609938-1 2.890593-8 9.015711-1 2.535377-8 9.440609-1 2.237092-8 9.885531-1 1.988271-8 1.035142+0 1.781935-8 1.083927+0 1.608712-8 1.135011+0 1.461787-8 1.188600+0 1.335800-8 1.273503+0 1.177791-8 1.380384+0 1.024196-8 1.513561+0 8.773504-9 1.819701+0 6.380589-9 2.018366+0 5.366771-9 2.290868+0 4.381493-9 2.600160+0 3.603983-9 2.985383+0 2.934741-9 3.467369+0 2.367649-9 4.027170+0 1.924559-9 4.731513+0 1.551060-9 5.623413+0 1.240752-9 6.839116+0 9.70928-10 8.609938+0 7.35258-10 1.059254+1 5.76591-10 1.364583+1 4.31944-10 1.819701+1 3.13822-10 2.511886+1 2.21361-10 3.630781+1 1.49765-10 5.432503+1 9.84702-11 9.885531+1 5.32893-11 1.972423+2 2.64582-11 7.852356+2 6.59850-12 4.954502+4 1.04349-13 1.000000+5 5.16920-14 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 5.940000-6 5.940000-6 1.000000+5 5.940000-6 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 5.940000-6 0.0 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 5.760000-6 6.674568+6 6.025596-6 7.164295+6 6.309573-6 7.642026+6 6.606934-6 8.095765+6 7.000000-6 8.630496+6 7.413102-6 9.123278+6 7.943282-6 9.677614+6 8.511380-6 1.019071+7 9.225714-6 1.074537+7 1.023293-5 1.140849+7 1.150000-5 1.210140+7 1.288250-5 1.271965+7 1.428894-5 1.321099+7 1.548817-5 1.351220+7 1.659587-5 1.367275+7 1.757924-5 1.370801+7 1.850000-5 1.364652+7 1.927525-5 1.352066+7 2.000000-5 1.333903+7 2.070000-5 1.310609+7 2.150000-5 1.277657+7 2.238721-5 1.234198+7 2.317395-5 1.190378+7 2.400000-5 1.139861+7 2.483133-5 1.085448+7 2.570396-5 1.025875+7 2.660725-5 9.629958+6 2.754229-5 8.978305+6 2.851018-5 8.313336+6 2.951209-5 7.645462+6 3.054921-5 6.985763+6 3.162278-5 6.343857+6 3.273407-5 5.726352+6 3.400000-5 5.081640+6 3.540000-5 4.440648+6 3.672823-5 3.900003+6 3.801894-5 3.432902+6 3.950000-5 2.960448+6 4.073803-5 2.612333+6 4.220000-5 2.250607+6 4.365158-5 1.938487+6 4.518559-5 1.652922+6 4.677351-5 1.398811+6 4.841724-5 1.174411+6 5.011872-5 9.778847+5 5.150000-5 8.414328+5 5.308844-5 7.064047+5 5.450000-5 6.035832+5 5.623413-5 4.964832+5 5.800000-5 4.060776+5 5.956621-5 3.391793+5 6.095369-5 2.888243+5 6.237348-5 2.448245+5 6.400000-5 2.025384+5 6.650000-5 1.515881+5 7.070000-5 9.484152+4 7.244360-5 7.921003+4 7.350000-5 7.149960+4 7.470000-5 6.413544+4 7.585776-5 5.827142+4 7.690000-5 5.391264+4 7.762471-5 5.134326+4 7.852356-5 4.863273+4 7.943282-5 4.637992+4 8.040000-5 4.447032+4 8.128305-5 4.312243+4 8.222426-5 4.205958+4 8.317638-5 4.133725+4 8.413951-5 4.092985+4 8.511380-5 4.081196+4 8.610000-5 4.095984+4 8.730000-5 4.145688+4 8.850000-5 4.225440+4 9.000000-5 4.360656+4 9.150000-5 4.528584+4 9.350000-5 4.792680+4 9.660509-5 5.266299+4 1.020000-4 6.176616+4 1.050000-4 6.693624+4 1.083927-4 7.263315+4 1.110000-4 7.680840+4 1.148154-4 8.254103+4 1.180000-4 8.693664+4 1.216186-4 9.143168+4 1.258925-4 9.608149+4 1.303167-4 1.001923+5 1.350000-4 1.037410+5 1.400000-4 1.067580+5 1.450000-4 1.090534+5 1.513561-4 1.109993+5 1.566751-4 1.119845+5 1.621810-4 1.123871+5 1.701200-4 1.121450+5 1.778279-4 1.111002+5 1.862087-4 1.092367+5 1.949845-4 1.066698+5 2.065380-4 1.026956+5 2.162719-4 9.903042+4 2.290868-4 9.393203+4 2.426610-4 8.840884+4 2.570396-4 8.261361+4 2.722701-4 7.668645+4 2.884032-4 7.075120+4 3.126079-4 6.269100+4 3.349654-4 5.611438+4 3.589219-4 4.987985+4 3.845918-4 4.405242+4 4.168694-4 3.782996+4 4.518559-4 3.224856+4 4.897788-4 2.729912+4 5.370318-4 2.239066+4 5.888437-4 1.822369+4 6.456542-4 1.473070+4 7.079458-4 1.182562+4 7.762471-4 9.428288+3 8.511380-4 7.466340+3 9.440609-4 5.698477+3 1.047129-3 4.314754+3 1.161449-3 3.241244+3 1.288250-3 2.415852+3 1.428894-3 1.786790+3 1.566751-3 1.357689+3 1.737801-3 9.897196+2 1.927525-3 7.163296+2 2.137962-3 5.148881+2 2.386000-3 3.602903+2 2.630268-3 2.608265+2 2.951209-3 1.759210+2 3.427678-3 1.048377+2 3.890451-3 6.714013+1 4.365158-3 4.442037+1 4.897788-3 2.917520+1 5.495409-3 1.902773+1 6.237348-3 1.179864+1 7.079458-3 7.259835+0 8.035261-3 4.434517+0 9.120108-3 2.690250+0 1.035142-2 1.621018+0 1.188502-2 9.257487-1 1.364583-2 5.247875-1 1.566751-2 2.953973-1 1.819701-2 1.573361-1 2.162719-2 7.546125-2 2.600160-2 3.419688-2 3.235937-2 1.325046-2 4.216965-2 4.169845-3 7.079458-2 4.305927-4 9.015711-2 1.502752-4 1.071519-1 7.136828-5 1.244515-1 3.771036-5 1.412538-1 2.212942-5 1.603245-1 1.307841-5 1.798871-1 8.167053-6 2.000000-1 5.332900-6 2.213095-1 3.576173-6 2.426610-1 2.502849-6 2.660725-1 1.763550-6 2.917427-1 1.251553-6 3.198895-1 8.949465-7 3.467369-1 6.717878-7 3.758374-1 5.076478-7 4.073803-1 3.864041-7 4.415705-1 2.964372-7 4.786301-1 2.290976-7 5.188000-1 1.783601-7 5.623413-1 1.398934-7 6.095369-1 1.105632-7 6.606935-1 8.806846-8 7.161434-1 7.069188-8 7.943282-1 5.373098-8 8.511380-1 4.504645-8 9.015711-1 3.912181-8 9.549926-1 3.418877-8 1.011579+0 3.009033-8 1.083927+0 2.601760-8 1.161449+0 2.265591-8 1.244515+0 1.988341-8 1.380384+0 1.647078-8 1.659587+0 1.191412-8 1.883649+0 9.601348-9 2.113489+0 7.948404-9 2.398833+0 6.507301-9 2.722701+0 5.366346-9 3.126079+0 4.380494-9 3.630781+0 3.542504-9 4.265795+0 2.841207-9 5.011872+0 2.295812-9 6.025596+0 1.814439-9 7.161434+0 1.464612-9 9.120108+0 1.095907-9 1.148154+1 8.38650-10 1.479108+1 6.29862-10 1.949845+1 4.64421-10 2.722701+1 3.24170-10 3.801894+1 2.27747-10 5.623413+1 1.51661-10 1.000000+2 8.40530-11 1.995262+2 4.17368-11 7.943282+2 1.04099-11 5.011872+4 1.64629-13 1.000000+5 8.24960-14 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 5.760000-6 5.760000-6 1.000000+5 5.760000-6 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 5.760000-6 0.0 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 5.730000-6 1.173949+6 6.025596-6 8.924981+5 6.309573-6 6.896304+5 6.606934-6 5.281661+5 6.850000-6 4.252970+5 7.100000-6 3.407830+5 7.350000-6 2.731100+5 7.600000-6 2.187620+5 7.770000-6 1.880290+5 8.000000-6 1.530440+5 8.222426-6 1.251973+5 8.420000-6 1.045510+5 8.609938-6 8.774276+4 8.810489-6 7.273519+4 9.015711-6 5.984603+4 9.200000-6 5.007980+4 9.350000-6 4.322170+4 9.500000-6 3.721940+4 9.660509-6 3.163347+4 9.850000-6 2.601300+4 1.000000-5 2.221850+4 1.015000-5 1.893170+4 1.035142-5 1.521775+4 1.055000-5 1.223550+4 1.109175-5 6.787329+3 1.123000-5 5.895720+3 1.135011-5 5.253293+3 1.146000-5 4.763020+3 1.154000-5 4.460010+3 1.161449-5 4.215873+3 1.168000-5 4.029680+3 1.176000-5 3.836400+3 1.182000-5 3.714710+3 1.190000-5 3.581630+3 1.197000-5 3.490990+3 1.203000-5 3.431400+3 1.211000-5 3.376420+3 1.218000-5 3.349950+3 1.226000-5 3.342870+3 1.232000-5 3.352830+3 1.240000-5 3.385210+3 1.247000-5 3.430400+3 1.255000-5 3.500030+3 1.265000-5 3.612140+3 1.275000-5 3.749840+3 1.288250-5 3.967896+3 1.305000-5 4.294820+3 1.330000-5 4.871950+3 1.380384-5 6.272816+3 1.410000-5 7.195480+3 1.430000-5 7.844740+3 1.450000-5 8.508270+3 1.470000-5 9.181130+3 1.500000-5 1.019880+4 1.530000-5 1.121630+4 1.560000-5 1.222420+4 1.590000-5 1.321530+4 1.621810-5 1.424084+4 1.660000-5 1.543330+4 1.698244-5 1.657838+4 1.737801-5 1.770709+4 1.785000-5 1.897680+4 1.830000-5 2.010840+4 1.883649-5 2.135804+4 1.927525-5 2.230220+4 1.995262-5 2.362910+4 2.070000-5 2.492140+4 2.150000-5 2.612300+4 2.238721-5 2.725960+4 2.330000-5 2.824050+4 2.426610-5 2.909869+4 2.540973-5 2.990996+4 2.660725-5 3.055711+4 2.818383-5 3.114948+4 3.000000-5 3.154730+4 3.198895-5 3.172307+4 3.427678-5 3.167754+4 3.684300-5 3.140192+4 3.981072-5 3.086834+4 4.315191-5 3.008213+4 4.677351-5 2.909617+4 5.069907-5 2.793113+4 5.432503-5 2.680054+4 5.900000-5 2.531810+4 6.382635-5 2.380209+4 6.918310-5 2.217378+4 7.500000-5 2.049590+4 8.128305-5 1.882536+4 8.912509-5 1.695272+4 1.000000-4 1.473600+4 1.135011-4 1.252064+4 1.318257-4 1.024446+4 1.640590-4 7.565395+3 2.264644-4 4.817548+3 2.660725-4 3.819230+3 3.019952-4 3.161076+3 3.548134-4 2.449009+3 5.011872-4 1.400354+3 7.000000-4 8.003677+2 8.709636-4 5.510414+2 1.071519-3 3.839570+2 1.318257-3 2.655724+2 1.500000-3 2.102461+2 1.778279-3 1.496103+2 1.927525-3 1.280065+2 2.065380-3 1.126432+2 2.187762-3 1.018224+2 2.317395-3 9.261518+1 2.540973-3 8.053485+1 2.691535-3 7.320674+1 2.863480-3 6.551541+1 3.054921-3 5.788088+1 3.273407-3 5.034433+1 3.548134-3 4.247974+1 4.000000-3 3.272445+1 4.786301-3 2.269743+1 5.688529-3 1.584276+1 6.683439-3 1.124683+1 7.943282-3 7.731062+0 9.332543-3 5.409127+0 1.096478-2 3.757407+0 1.288250-2 2.590984+0 1.513561-2 1.773369+0 1.778279-2 1.204532+0 2.089296-2 8.119450-1 2.454709-2 5.431238-1 2.884032-2 3.606216-1 3.388442-2 2.376823-1 4.027170-2 1.508813-1 4.786301-2 9.505707-2 5.688529-2 5.941869-2 6.918310-2 3.460353-2 8.511380-2 1.937025-2 1.035142-1 1.112656-2 2.238721-1 1.218266-3 2.691535-1 7.231783-4 3.162278-1 4.616088-4 3.630781-1 3.164572-4 4.120975-1 2.255773-4 4.623810-1 1.670451-4 5.128614-1 1.283305-4 5.688529-1 9.927957-5 6.309573-1 7.738026-5 6.998420-1 6.078789-5 7.673615-1 4.938200-5 8.511380-1 3.938707-5 9.332543-1 3.244578-5 1.023293+0 2.691990-5 1.161449+0 2.094606-5 1.288250+0 1.720205-5 1.462177+0 1.361057-5 1.621810+0 1.131951-5 1.819701+0 9.292660-6 2.065380+0 7.537894-6 2.344229+0 6.162583-6 2.660725+0 5.075626-6 3.054921+0 4.138284-6 3.548134+0 3.342630-6 4.168694+0 2.677903-6 4.897788+0 2.161634-6 5.821032+0 1.731690-6 7.000000+0 1.375900-6 9.015711+0 1.015006-6 1.135011+1 7.764673-7 1.462177+1 5.829575-7 1.927525+1 4.296968-7 2.691535+1 2.998394-7 3.801894+1 2.081017-7 5.623413+1 1.385768-7 1.000000+2 7.680000-8 1.995262+2 3.813519-8 7.943282+2 9.511607-9 5.011872+4 1.50423-10 1.000000+5 7.53770-11 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 5.730000-6 5.730000-6 1.000000+5 5.730000-6 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 5.730000-6 0.0 1.000000+5 1.000000+5 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 9.312590-8 1.028750+0 9.312590-7 1.029500+0 1.274450-6 1.030100+0 1.602780-6 1.031000+0 2.193150-6 1.032000+0 3.000780-6 1.033200+0 4.203580-6 1.034000+0 5.160280-6 1.035300+0 7.004350-6 1.036640+0 9.312590-6 1.038200+0 1.256760-5 1.039700+0 1.632790-5 1.041500+0 2.172410-5 1.043800+0 3.015370-5 1.046400+0 4.195320-5 1.048300+0 5.223290-5 1.051200+0 7.085280-5 1.054080+0 9.312590-5 1.057700+0 1.269370-4 1.061100+0 1.651130-4 1.065100+0 2.185920-4 1.070400+0 3.049600-4 1.076200+0 4.214550-4 1.080600+0 5.263290-4 1.087100+0 7.091360-4 1.093710+0 9.312590-4 1.102600+0 1.291140-3 1.110700+0 1.683830-3 1.120600+0 2.252340-3 1.133300+0 3.131540-3 1.147500+0 4.323530-3 1.158200+0 5.373040-3 1.174100+0 7.181660-3 1.190110+0 9.312590-3 1.205100+0 1.159470-2 1.227500+0 1.552120-2 1.250000+0 2.005000-2 1.265600+0 2.349740-2 1.294900+0 3.058370-2 1.331800+0 4.049180-2 1.362600+0 4.946730-2 1.397000+0 6.013820-2 1.455800+0 7.978330-2 1.500000+0 9.575000-2 1.589800+0 1.317090-1 1.665000+0 1.653130-1 1.784700+0 2.244180-1 1.892300+0 2.818300-1 2.000000+0 3.412000-1 2.044000+0 3.655000-1 2.163500+0 4.322350-1 2.372600+0 5.508890-1 2.647100+0 7.069510-1 3.000000+0 9.032000-1 3.437500+0 1.134480+0 4.000000+0 1.412000+0 4.750000+0 1.751440+0 5.000000+0 1.857000+0 6.000000+0 2.244000+0 7.000000+0 2.590000+0 8.000000+0 2.902000+0 9.000000+0 3.184000+0 1.000000+1 3.443000+0 1.100000+1 3.679000+0 1.200000+1 3.897000+0 1.300000+1 4.097000+0 1.400000+1 4.281000+0 1.500000+1 4.453000+0 1.600000+1 4.614000+0 1.800000+1 4.908000+0 2.000000+1 5.172000+0 2.200000+1 5.411000+0 2.400000+1 5.629000+0 2.600000+1 5.827000+0 2.800000+1 6.009000+0 3.000000+1 6.177000+0 4.000000+1 6.857000+0 5.000000+1 7.361000+0 6.000000+1 7.754000+0 8.000000+1 8.335000+0 1.000000+2 8.747000+0 1.500000+2 9.404000+0 2.000000+2 9.797000+0 3.000000+2 1.025000+1 4.000000+2 1.052000+1 5.000000+2 1.069000+1 6.000000+2 1.082000+1 8.000000+2 1.098000+1 1.000000+3 1.109000+1 1.500000+3 1.124000+1 2.000000+3 1.133000+1 3.000000+3 1.142000+1 4.000000+3 1.147000+1 5.000000+3 1.150000+1 6.000000+3 1.152000+1 8.000000+3 1.155000+1 1.000000+4 1.157000+1 1.500000+4 1.159000+1 2.000000+4 1.161000+1 3.000000+4 1.162000+1 4.000000+4 1.163000+1 5.000000+4 1.163000+1 6.000000+4 1.163000+1 8.000000+4 1.164000+1 1.000000+5 1.164000+1 1 41000 7 8 9.290600+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 4.113990-7 2.106600+0 1.340380-6 2.114000+0 1.854590-6 2.119500+0 2.308950-6 2.127900+0 3.131370-6 2.136250+0 4.113990-6 2.147000+0 5.640570-6 2.156900+0 7.326420-6 2.169000+0 9.777570-6 2.184500+0 1.359110-5 2.201800+0 1.880370-5 2.214800+0 2.342800-5 2.234200+0 3.151480-5 2.253680+0 4.113990-5 2.281500+0 5.762370-5 2.307000+0 7.568860-5 2.338200+0 1.017700-4 2.377400+0 1.409390-4 2.410200+0 1.792510-4 2.446800+0 2.280180-4 2.485900+0 2.870870-4 2.532900+0 3.674090-4 2.556430+0 4.113990-4 2.611900+0 5.245780-4 2.660400+0 6.341840-4 2.745300+0 8.488080-4 2.809000+0 1.027950-3 2.904500+0 1.324230-3 3.000000+0 1.653000-3 3.125000+0 2.131550-3 3.234400+0 2.593720-3 3.425800+0 3.493040-3 3.569300+0 4.235880-3 3.784700+0 5.445580-3 4.000000+0 6.746000-3 4.250000+0 8.335650-3 4.625000+0 1.083350-2 5.000000+0 1.343000-2 5.500000+0 1.699470-2 6.000000+0 2.061000-2 6.750000+0 2.599730-2 7.000000+0 2.777000-2 8.000000+0 3.470000-2 9.000000+0 4.133000-2 1.000000+1 4.763000-2 1.100000+1 5.360000-2 1.200000+1 5.923000-2 1.300000+1 6.453000-2 1.400000+1 6.958000-2 1.500000+1 7.436000-2 1.600000+1 7.891000-2 1.800000+1 8.733000-2 2.000000+1 9.500000-2 2.200000+1 1.020000-1 2.400000+1 1.085000-1 2.600000+1 1.144000-1 2.800000+1 1.200000-1 3.000000+1 1.251000-1 4.000000+1 1.465000-1 5.000000+1 1.627000-1 6.000000+1 1.756000-1 8.000000+1 1.950000-1 1.000000+2 2.092000-1 1.500000+2 2.328000-1 2.000000+2 2.477000-1 3.000000+2 2.659000-1 4.000000+2 2.769000-1 5.000000+2 2.845000-1 6.000000+2 2.900000-1 8.000000+2 2.977000-1 1.000000+3 3.028000-1 1.500000+3 3.105000-1 2.000000+3 3.148000-1 3.000000+3 3.196000-1 4.000000+3 3.224000-1 5.000000+3 3.241000-1 6.000000+3 3.253000-1 8.000000+3 3.270000-1 1.000000+4 3.280000-1 1.500000+4 3.294000-1 2.000000+4 3.302000-1 3.000000+4 3.310000-1 4.000000+4 3.315000-1 5.000000+4 3.318000-1 6.000000+4 3.319000-1 8.000000+4 3.322000-1 1.000000+5 3.323000-1 1 41000 7 8 9.290600+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 41000 7 9 9.290600+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 4.100000+1 1.000000+5 4.100000+1 5.000000+5 4.098500+1 8.750000+5 4.096060+1 1.000000+6 4.095100+1 1.375000+6 4.091450+1 1.500000+6 4.089900+1 1.875000+6 4.084270+1 2.000000+6 4.082100+1 2.375000+6 4.074850+1 2.500000+6 4.072200+1 2.875000+6 4.063540+1 3.000000+6 4.060400+1 3.500000+6 4.046480+1 4.000000+6 4.031200+1 4.500000+6 4.014230+1 5.000000+6 3.996000+1 5.500000+6 3.976020+1 5.875000+6 3.960240+1 6.437500+6 3.935150+1 6.500000+6 3.932290+1 7.000000+6 3.909500+1 7.500000+6 3.885670+1 8.250000+6 3.848380+1 8.500000+6 3.835940+1 9.000000+6 3.810400+1 1.000000+7 3.757800+1 1.125000+7 3.690860+1 1.187500+7 3.657380+1 1.250000+7 3.623800+1 1.437500+7 3.522280+1 1.500000+7 3.488700+1 1.750000+7 3.355700+1 2.000000+7 3.226500+1 2.250000+7 3.101370+1 2.375000+7 3.040490+1 2.500000+7 2.981500+1 2.875000+7 2.812970+1 3.000000+7 2.760400+1 3.500000+7 2.566120+1 4.000000+7 2.397900+1 4.500000+7 2.251820+1 4.750000+7 2.185970+1 5.000000+7 2.124200+1 5.500000+7 2.010700+1 5.750000+7 1.957810+1 6.000000+7 1.907200+1 6.500000+7 1.810430+1 6.750000+7 1.763990+1 7.000000+7 1.718600+1 7.500000+7 1.629980+1 8.000000+7 1.544200+1 8.500000+7 1.461130+1 9.000000+7 1.381100+1 9.750000+7 1.267290+1 1.000000+8 1.231300+1 1.062500+8 1.145360+1 1.156300+8 1.029760+1 1.187500+8 9.951100+0 1.250000+8 9.309800+0 1.406300+8 8.005410+0 1.437500+8 7.792030+0 1.500000+8 7.407700+0 1.562500+8 7.075480+0 1.671900+8 6.590870+0 1.750000+8 6.301070+0 1.835900+8 6.022960+0 2.000000+8 5.576300+0 2.375000+8 4.802670+0 2.500000+8 4.593700+0 2.671900+8 4.324090+0 2.789100+8 4.136910+0 2.894500+8 3.959370+0 3.000000+8 3.770000+0 3.125000+8 3.534120+0 3.359400+8 3.132210+0 3.453100+8 3.002900+0 3.500000+8 2.946300+0 3.625000+8 2.820580+0 3.859400+8 2.624240+0 3.953100+8 2.543130+0 4.000000+8 2.500100+0 4.062500+8 2.439330+0 4.179700+8 2.319060+0 4.282200+8 2.211690+0 4.461700+8 2.029490+0 4.750000+8 1.775880+0 4.798100+8 1.739600+0 4.932700+8 1.648050+0 5.000000+8 1.607800+0 5.125000+8 1.542720+0 5.234400+8 1.494110+0 5.425800+8 1.423420+0 5.677000+8 1.349630+0 6.000000+8 1.272800+0 6.625000+8 1.152110+0 7.000000+8 1.095300+0 7.750000+8 1.006290+0 8.000000+8 9.779000-1 8.250000+8 9.484640-1 8.687500+8 8.955640-1 9.015600+8 8.558870-1 9.507800+8 7.979290-1 1.000000+9 7.431000-1 1.062500+9 6.788910-1 1.141100+9 6.060930-1 1.206900+9 5.511850-1 1.280200+9 4.957050-1 1.335100+9 4.577310-1 1.375000+9 4.319140-1 1.417600+9 4.059160-1 1.500000+9 3.598600-1 1.589800+9 3.154370-1 1.665000+9 2.826000-1 1.748800+9 2.503030-1 1.838500+9 2.201890-1 1.946200+9 1.893460-1 2.000000+9 1.758600-1 2.139200+9 1.459080-1 2.272600+9 1.227610-1 2.443000+9 9.929420-2 2.602800+9 8.206400-2 2.825100+9 6.375070-2 3.097000+9 4.768300-2 3.438900+9 3.397080-2 3.725100+9 2.608960-2 4.180400+9 1.771700-2 4.726800+9 1.165860-2 5.000000+9 9.613100-3 5.750000+9 5.931610-3 8.000000+9 1.880200-3 1.00000+10 8.661000-4 1.20500+10 4.564870-4 1.41820+10 2.625150-4 1.71170+10 1.395520-4 2.01490+10 8.113320-5 2.26440+10 5.519980-5 2.74790+10 2.930490-5 3.41360+10 1.451570-5 4.02450+10 8.558520-6 5.12000+10 3.978930-6 6.34000+10 2.028230-6 8.17000+10 9.176390-7 1.00000+11 4.898100-7 1.34280+11 1.972650-7 1.77440+11 8.398600-8 2.63330+11 2.529790-8 3.75720+11 8.664260-9 6.61190+11 1.602160-9 1.48990+12 1.45846-10 4.26460+12 6.82998-12 1.00000+14 7.93860-16 5.62340+14 5.44278-18 7.49890+15 2.90768-21 1.00000+17 1.49450-24 1 41000 7 0 9.290600+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 6.80000-12 1.000000+2 6.80000-10 1.000000+3 6.800000-8 1.000000+4 6.800000-6 1.000000+5 6.800000-4 5.000000+5 1.700000-2 8.750000+5 5.206250-2 1.000000+6 6.800000-2 1.375000+6 1.277720-1 1.500000+6 1.516000-1 1.875000+6 2.341230-1 2.000000+6 2.652000-1 2.375000+6 3.684740-1 2.500000+6 4.061000-1 2.875000+6 5.277110-1 3.000000+6 5.710000-1 3.500000+6 7.560670-1 4.000000+6 9.576000-1 4.500000+6 1.171640+0 5.000000+6 1.395000+0 5.500000+6 1.624220+0 5.875000+6 1.798590+0 6.437500+6 2.062010+0 6.500000+6 2.091270+0 7.000000+6 2.325100+0 7.500000+6 2.556820+0 8.250000+6 2.899710+0 8.500000+6 3.012440+0 9.000000+6 3.235600+0 1.000000+7 3.672000+0 1.125000+7 4.202730+0 1.187500+7 4.463380+0 1.250000+7 4.721700+0 1.437500+7 5.484030+0 1.500000+7 5.735000+0 1.750000+7 6.723500+0 2.000000+7 7.684000+0 2.250000+7 8.611720+0 2.375000+7 9.063480+0 2.500000+7 9.507500+0 2.875000+7 1.079600+1 3.000000+7 1.121300+1 3.500000+7 1.281880+1 4.000000+7 1.431700+1 4.500000+7 1.569700+1 4.750000+7 1.633790+1 5.000000+7 1.694900+1 5.500000+7 1.807120+1 5.750000+7 1.858750+1 6.000000+7 1.908100+1 6.500000+7 1.999700+1 6.750000+7 2.042820+1 7.000000+7 2.084400+1 7.500000+7 2.163550+1 8.000000+7 2.238600+1 8.500000+7 2.310150+1 9.000000+7 2.378700+1 9.750000+7 2.476430+1 1.000000+8 2.507700+1 1.062500+8 2.583080+1 1.156300+8 2.688750+1 1.187500+8 2.721990+1 1.250000+8 2.786000+1 1.406300+8 2.929900+1 1.437500+8 2.956310+1 1.500000+8 3.006700+1 1.562500+8 3.053920+1 1.671900+8 3.129740+1 1.750000+8 3.179350+1 1.835900+8 3.229990+1 2.000000+8 3.316700+1 2.375000+8 3.475170+1 2.500000+8 3.518800+1 2.671900+8 3.572830+1 2.789100+8 3.606110+1 2.894500+8 3.634020+1 3.000000+8 3.660100+1 3.125000+8 3.688090+1 3.359400+8 3.735110+1 3.453100+8 3.751520+1 3.500000+8 3.759600+1 3.625000+8 3.779380+1 3.859400+8 3.811790+1 3.953100+8 3.823390+1 4.000000+8 3.829100+1 4.062500+8 3.835900+1 4.179700+8 3.848400+1 4.282200+8 3.858540+1 4.461700+8 3.874730+1 4.750000+8 3.897430+1 4.798100+8 3.900740+1 4.932700+8 3.909770+1 5.000000+8 3.914200+1 5.125000+8 3.921470+1 5.234400+8 3.927700+1 5.425800+8 3.938310+1 5.677000+8 3.950200+1 6.000000+8 3.964700+1 6.625000+8 3.987890+1 7.000000+8 4.000200+1 7.750000+8 4.020980+1 8.000000+8 4.027000+1 8.250000+8 4.032320+1 8.687500+8 4.041270+1 9.015600+8 4.047310+1 9.507800+8 4.055220+1 1.000000+9 4.062100+1 1.062500+9 4.069250+1 1.141100+9 4.076130+1 1.206900+9 4.080790+1 1.280200+9 4.084970+1 1.335100+9 4.087590+1 1.375000+9 4.088960+1 1.417600+9 4.090380+1 1.500000+9 4.093000+1 1.589800+9 4.094460+1 1.665000+9 4.095620+1 1.748800+9 4.096850+1 1.838500+9 4.097470+1 1.946200+9 4.098170+1 2.000000+9 4.098500+1 2.139200+9 4.098860+1 2.272600+9 4.099180+1 2.443000+9 4.099570+1 2.602800+9 4.099910+1 2.825100+9 4.100190+1 3.097000+9 4.100160+1 3.438900+9 4.100130+1 3.725100+9 4.100100+1 4.180400+9 4.100060+1 4.726800+9 4.100020+1 5.000000+9 4.100000+1 5.750000+9 4.100000+1 8.000000+9 4.100000+1 1.00000+10 4.100000+1 1.20500+10 4.100000+1 1.41820+10 4.100000+1 1.71170+10 4.100000+1 2.01490+10 4.100000+1 2.26440+10 4.100000+1 2.74790+10 4.100000+1 3.41360+10 4.100000+1 4.02450+10 4.100000+1 5.12000+10 4.100000+1 6.34000+10 4.100000+1 8.17000+10 4.100000+1 1.00000+11 4.100000+1 1.34280+11 4.100000+1 1.77440+11 4.100000+1 2.63330+11 4.100000+1 3.75720+11 4.100000+1 6.61190+11 4.100000+1 1.48990+12 4.100000+1 4.26460+12 4.100000+1 1.00000+14 4.100000+1 5.62340+14 4.100000+1 7.49890+15 4.100000+1 1.00000+17 4.100000+1 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.565084-6 0.0 2.576133-6 1.719870+0 2.577711-6 1.963058+0 2.584025-6 3.585686+0 2.590338-6 6.045960+0 2.596652-6 9.410487+0 2.616382-6 2.231381+1 2.622301-6 2.488341+1 2.628740-6 2.583220+1 2.632920-6 2.550260+1 2.635668-6 2.561026+1 2.642306-6 2.447761+1 2.645090-6 2.360543+1 2.651841-6 2.285709+1 2.658203-6 2.410216+1 2.664675-6 2.793923+1 2.672060-6 3.563420+1 2.685437-6 5.271690+1 2.694091-6 6.000835+1 2.697902-6 6.160134+1 2.703825-6 6.088917+1 2.710780-6 5.535052+1 2.717663-6 4.648116+1 2.729050-6 2.923316+1 2.735528-6 2.037934+1 2.742006-6 1.327218+1 2.748484-6 8.081036+0 2.752641-6 5.752260+0 2.759160-6 2.482269+0 2.761440-6 1.468581+0 2.765679-6 9.585038-1 2.769248-6 7.004130-1 2.778716-6 3.673640-1 2.782881-6 5.267142-1 2.789697-6 9.620865-1 2.796513-6 1.622210+0 2.803329-6 2.524956+0 2.815684-6 4.589399+0 2.823778-6 5.891388+0 2.831446-6 6.695790+0 2.837410-6 6.957021+0 2.845078-6 6.664824+0 2.851042-6 6.062446+0 2.868083-6 3.560405+0 2.871491-6 3.090488+0 2.878307-6 2.382624+0 2.885123-6 1.930597+0 2.891939-6 1.686098+0 2.898869-6 1.559135+0 2.905850-6 1.341520+0 2.912831-6 1.292015+0 2.919811-6 1.148661+0 2.926792-6 9.426921-1 2.940753-6 4.994455-1 2.947733-6 3.224246-1 2.954714-6 1.921420-1 2.961695-6 1.056989-1 2.968675-6 5.367507-2 2.975656-6 0.0 3.617051-6 0.0 3.633516-6 2.71268-15 3.651403-6 5.452999-8 3.660346-6 9.960347-8 3.669289-6 1.679451-7 3.679371-6 2.759098-7 3.697177-6 5.113473-7 3.706080-6 6.189388-7 3.714983-6 6.926042-7 3.723886-6 7.164408-7 3.732789-6 6.849942-7 3.741692-6 6.052856-7 3.767667-6 2.677611-7 3.776611-6 1.728573-7 3.785554-6 1.030106-7 3.794497-6 5.666695-8 3.803441-6 2.877611-8 3.812384-6 0.0 3.821216-6 0.0 3.830621-6 1.631053-8 3.840027-6 3.227404-8 3.849432-6 5.895117-8 3.858837-6 9.939978-8 3.868243-6 1.547149-7 3.877648-6 2.222967-7 3.887054-6 2.948408-7 3.896459-6 3.609907-7 3.905865-6 4.079983-7 3.915270-6 4.256716-7 3.924675-6 4.099633-7 3.934081-6 3.644762-7 3.943486-6 2.991213-7 3.962297-6 1.584767-7 3.971703-6 1.023071-7 3.981108-6 6.096769-8 3.990513-6 3.353883-8 3.999919-6 1.703139-8 4.009324-6 0.0 4.200559-6 0.0 4.203838-6 5.760565-7 4.221237-6 8.115754-6 4.224333-6 9.853378-6 4.244458-6 5.860334-2 4.245873-6 7.481629-2 4.255574-6 1.950343-1 4.261001-6 2.753072-1 4.266406-6 3.937605-1 4.276960-6 7.013839-1 4.286719-6 1.082533+0 4.298553-6 1.702089+0 4.328680-6 3.545240+0 4.339810-6 4.012778+0 4.349430-6 4.206890+0 4.361371-6 4.082053+0 4.371200-6 3.735470+0 4.384532-6 2.991408+0 4.403857-6 1.774081+0 4.411613-6 1.333555+0 4.422060-6 8.577305-1 4.428726-6 6.158365-1 4.432508-6 5.116138-1 4.439398-6 3.775300-1 4.449702-6 2.265294-1 4.453402-6 1.955118-1 4.461199-6 1.943828-1 4.470677-6 2.171344-1 4.473101-6 2.420552-1 4.483951-6 3.760013-1 4.508490-6 7.604407-1 4.516500-6 8.895143-1 4.527350-6 1.017175+0 4.538199-6 1.077888+0 4.549049-6 1.058754+0 4.559899-6 9.642308-1 4.570749-6 8.144505-1 4.592448-6 4.641962-1 4.603298-6 3.134374-1 4.614148-6 1.965529-1 4.624997-6 1.145034-1 4.635602-6 6.269300-2 4.645718-6 1.745863-2 4.646502-6 1.429305-2 4.656667-6 7.522726-3 4.667617-6 0.0 4.781168-6 0.0 4.798820-6 4.082536-2 4.804704-6 5.426120-2 4.812399-6 8.356381-2 4.816472-6 1.014071-1 4.821056-6 1.304401-1 4.828241-6 1.874277-1 4.837521-6 2.809974-1 4.846620-6 4.077681-1 4.860827-6 6.401991-1 4.900726-6 1.400358+0 4.915607-6 1.588500+0 4.928781-6 1.662357+0 4.944432-6 1.600421+0 4.958356-6 1.426522+0 4.999052-6 6.726466-1 5.010919-6 4.968550-1 5.016564-6 4.286442-1 5.025663-6 3.773350-1 5.032184-6 3.606727-1 5.041259-6 3.581930-1 5.053607-6 3.928776-1 5.072846-6 5.085732-1 5.093373-6 6.583374-1 5.105910-6 7.326117-1 5.193667-6 1.117737+0 5.208891-6 1.121829+0 5.223124-6 1.066282+0 5.238438-6 9.318638-1 5.269320-6 5.708688-1 5.282226-6 4.621363-1 5.294127-6 4.023566-1 5.306067-6 4.025021-1 5.314335-6 4.360665-1 5.323651-6 4.920884-1 5.333851-6 5.826772-1 5.363546-6 9.258073-1 5.375773-6 1.037785+0 5.387561-6 1.103563+0 5.401852-6 1.121502+0 5.423070-6 1.053620+0 5.463044-6 8.527355-1 5.482476-6 8.011402-1 5.504022-6 7.882961-1 5.565767-6 9.429245-1 5.605606-6 9.418886-1 5.672205-6 9.139358-1 5.748745-6 9.079341-1 5.860763-6 9.904454-1 9.729322-6 2.524688+0 1.640905-5 5.314779+0 1.923341-5 6.204824+0 2.161320-5 6.583638+0 2.441567-5 6.533320+0 2.790837-5 5.886784+0 3.164510-5 4.864795+0 3.180088-5 6.044808+0 3.183278-5 6.449507+0 3.187877-5 1.040653+1 3.198948-5 2.094957+1 3.206783-5 3.277552+1 3.214619-5 4.988697+1 3.223700-5 7.650235+1 3.242400-5 1.393837+2 3.251098-5 1.603521+2 3.255501-5 1.666764+2 3.262229-5 1.694645+2 3.270475-5 1.593481+2 3.280635-5 1.318707+2 3.300806-5 6.347649+1 3.308641-5 4.239178+1 3.316477-5 2.682035+1 3.324312-5 1.657248+1 3.339982-5 4.438641+0 3.344324-5 4.356970+0 3.384310-5 4.246918+0 3.400970-5 1.035133+1 3.409560-5 1.572631+1 3.418150-5 2.396171+1 3.427088-5 3.579863+1 3.451336-5 7.480144+1 3.460660-5 8.449631+1 3.467996-5 8.762800+1 3.476705-5 8.440716+1 3.485060-5 7.552154+1 3.509260-5 3.676685+1 3.517669-5 2.541785+1 3.526140-5 1.688892+1 3.534250-5 1.129691+1 3.550910-5 4.233646+0 3.568208-5 4.055095+0 3.572813-5 4.048240+0 3.590437-5 4.497904+0 3.611782-5 5.366250+0 3.627138-5 5.987566+0 3.653790-5 6.506354+0 3.689733-5 6.938736+0 3.704130-5 6.965477+0 3.747342-5 6.498289+0 3.796188-5 6.492242+0 3.838392-5 7.038862+0 3.874617-5 7.471746+0 3.923322-5 7.647876+0 4.017828-5 7.149179+0 4.445291-5 5.369093+0 4.846717-5 4.030269+0 5.152187-5 3.239415+0 5.492845-5 2.549375+0 5.774740-5 2.107957+0 5.900848-5 1.938514+0 5.958945-5 1.943686+0 6.025596-5 2.067135+0 6.053758-5 2.045314+0 6.136714-5 1.761868+0 6.190849-5 1.720755+0 6.262985-5 1.691682+0 6.588481-5 1.449220+0 6.949455-5 1.261901+0 7.372800-5 1.118683+0 7.818649-5 1.031607+0 8.365795-5 9.856155-1 9.015711-5 9.869648-1 1.011579-4 1.061873+0 1.340763-4 1.383594+0 1.641588-4 1.584862+0 2.001490-4 1.703110+0 2.037730-4 1.712029+0 2.057687-4 1.800363+0 2.067717-4 1.917042+0 2.096061-4 2.353941+0 2.120893-4 2.567225+0 2.168152-4 2.670299+0 2.199539-4 2.923213+0 2.225000-4 3.318135+0 2.251844-4 3.981707+0 2.283995-4 5.121525+0 2.412500-4 1.093176+1 2.510144-4 1.452852+1 2.601095-4 1.699243+1 2.730000-4 1.908466+1 2.949120-4 2.077737+1 3.226999-4 2.161636+1 3.450485-4 2.150798+1 3.477120-4 2.231013+1 3.495022-4 2.367248+1 3.528737-4 2.681297+1 3.545812-4 2.683473+1 3.587076-4 2.393729+1 3.620019-4 2.332987+1 3.696338-4 2.564983+1 3.767469-4 2.411795+1 4.355535-4 2.270428+1 4.499866-4 2.258649+1 4.600910-4 2.288405+1 6.312890-4 1.732532+1 7.498942-4 1.435490+1 8.922168-4 1.168817+1 1.024491-3 9.831037+0 1.195364-3 8.036479+0 1.398364-3 6.495990+0 1.614454-3 5.313260+0 1.858814-3 4.340014+0 2.156636-3 3.487041+0 2.306557-3 3.160802+0 2.317931-3 3.440415+0 2.323723-3 3.709027+0 2.329313-3 4.126415+0 2.334963-3 4.745552+0 2.343323-3 6.045130+0 2.363379-3 9.797660+0 2.369181-3 1.056497+1 2.374908-3 1.105721+1 2.386636-3 1.136717+1 2.416695-3 1.107258+1 2.426610-3 1.131384+1 2.445847-3 1.262072+1 2.467667-3 1.428442+1 2.486391-3 1.456944+1 2.590549-3 1.357201+1 2.644295-3 1.338644+1 2.701459-3 1.444976+1 3.291541-3 1.088057+1 3.797133-3 8.726560+0 4.362877-3 7.011011+0 4.993649-3 5.633622+0 5.699280-3 4.527448+0 6.518266-3 3.611882+0 7.397117-3 2.912394+0 8.377327-3 2.349425+0 9.473737-3 1.895265+0 1.068124-2 1.534094+0 1.201858-2 1.243592+0 1.351538-2 1.007598+0 1.503201-2 8.313566-1 1.700501-2 6.643988-1 1.846694-2 5.746837-1 1.856464-2 5.912777-1 1.862282-2 6.286691-1 1.866990-2 6.906741-1 1.870667-2 7.682323-1 1.875135-2 9.070367-1 1.879530-2 1.098259+0 1.884390-2 1.374338+0 1.892665-2 1.960914+0 1.902902-2 2.703211+0 1.911717-2 3.169626+0 1.919231-2 3.399125+0 1.931143-2 3.522042+0 2.280050-2 2.725768+0 2.589580-2 2.209494+0 2.927943-2 1.795698+0 3.312137-2 1.449275+0 3.734446-2 1.174788+0 4.123539-2 9.831054-1 4.670625-2 7.855039-1 5.287497-2 6.247264-1 5.945434-2 5.024594-1 6.569806-2 4.162376-1 7.187246-2 3.512728-1 8.106589-2 2.787874-1 9.128811-2 2.219151-1 1.013654-1 1.810248-1 1.140845-1 1.438958-1 1.254444-1 1.196709-1 1.373283-1 1.002796-1 1.504702-1 8.391018-2 1.657201-1 6.955321-2 1.827471-1 5.749281-2 2.030685-1 4.691506-2 2.290868-1 3.724712-2 2.523046-1 3.107034-2 2.798498-1 2.561988-2 3.102376-1 2.122472-2 3.431351-1 1.773826-2 3.744708-1 1.523054-2 4.194048-1 1.258014-2 4.717914-1 1.038885-2 5.249963-1 8.798675-3 5.821032-1 7.549791-3 6.493816-1 6.474602-3 7.260015-1 5.583881-3 8.287766-1 4.743533-3 9.556800-1 4.044632-3 1.120601+0 3.419427-3 1.347258+0 2.807027-3 1.619761+0 2.304304-3 1.947381+0 1.891616-3 2.341267+0 1.552838-3 2.814822+0 1.274733-3 3.384160+0 1.046436-3 4.068655+0 8.590247-4 4.891600+0 7.051782-4 5.880996+0 5.788847-4 7.070513+0 4.752096-4 8.500626+0 3.901022-4 9.760024+0 3.364328-4 1.000000+1 6.800821-4 1 41000 7 0 9.290600+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-4.079989+1 2.030531-6-3.928537+1 2.333840-6-3.694799+1 2.458492-6-3.399637+1 2.513370-6-3.105087+1 2.544776-6-2.784558+1 2.560265-6-2.506679+1 2.577711-6-1.974399+1 2.592509-6-1.472426+1 2.597941-6-1.343187+1 2.601889-6-1.307124+1 2.606965-6-1.330661+1 2.611953-6-1.422845+1 2.615593-6-1.554680+1 2.621906-6-1.866955+1 2.630333-6-2.307735+1 2.634928-6-2.447861+1 2.643002-6-2.643076+1 2.650253-6-2.516409+1 2.657798-6-2.182922+1 2.665434-6-1.826901+1 2.672060-6-1.710034+1 2.675058-6-1.764004+1 2.679190-6-1.954950+1 2.683422-6-2.291442+1 2.690732-6-3.226812+1 2.696159-6-4.101134+1 2.700990-6-3.183474+1 2.704549-6-2.477398+1 2.710780-6-1.422842+1 2.712607-6-1.165976+1 2.716904-6-6.340048+0 2.717663-6-5.554476+0 2.719086-6-4.263770+0 2.720332-6-3.288881+0 2.721422-6-2.538967+0 2.723329-6-1.439936+0 2.724759-6-7.868218-1 2.725832-6-3.933109-1 2.727441-6 3.281131-2 2.728246-6 1.608500-1 2.729050-6 1.945444-1 2.732289-6 1.477703-1 2.733909-6-5.825632-2 2.734718-6-2.464395-1 2.735528-6-5.594128-1 2.738767-6-1.720844+0 2.740387-6-2.357395+0 2.741197-6-2.742805+0 2.742816-6-3.768537+0 2.747776-6-6.385482+0 2.749524-6-7.576497+0 2.759160-6-1.307459+1 2.764288-6-1.673863+1 2.771615-6-2.049832+1 2.784585-6-2.548248+1 2.800773-6-2.960866+1 2.815684-6-3.136718+1 2.830594-6-3.068197+1 2.855728-6-2.781648+1 2.871491-6-2.807215+1 2.910213-6-3.075289+1 3.019518-6-3.452129+1 3.228974-6-3.703159+1 4.033229-6-3.970609+1 4.245873-6-4.118420+1 4.279129-6-4.110160+1 4.323793-6-4.132791+1 4.340972-6-4.071307+1 4.389061-6-3.759214+1 4.432508-6-3.804601+1 4.508490-6-3.956871+1 4.614148-6-3.898885+1 4.897491-6-4.075248+1 4.996390-6-3.938539+1 5.144570-6-4.027437+1 5.291152-6-3.999690+1 5.387561-6-4.035269+1 1.518836-5-4.071570+1 1.923341-5-3.953503+1 2.495302-5-3.391290+1 2.762259-5-2.951539+1 2.891408-5-2.586203+1 2.966730-5-2.252379+1 3.021279-5-1.893473+1 3.060782-5-1.518671+1 3.085175-5-1.203694+1 3.103162-5-9.092171+0 3.117559-5-6.161730+0 3.123412-5-4.779391+0 3.128549-5-3.452522+0 3.133044-5-2.191163+0 3.136977-5-9.997016-1 3.140419-5 1.190430-1 3.146442-5 2.277224+0 3.150959-5 4.095943+0 3.156887-5 6.814779+0 3.162604-5 9.928874+0 3.172299-5 1.661013+1 3.178627-5 2.216593+1 3.182879-5 2.743539+1 3.184917-5 3.074733+1 3.198948-5 4.732324+1 3.207763-5 5.856897+1 3.217312-5 6.749404+1 3.225187-5 6.906755+1 3.230656-5 6.536707+1 3.235656-5 5.857337+1 3.239555-5 5.078028+1 3.242400-5 4.295339+1 3.246978-5 2.797591+1 3.251772-5 9.515558+0 3.253036-5 4.144256+0 3.253416-5 2.368755+0 3.253605-5 1.418085+0 3.253795-5 3.449252-1 3.253917-5-3.736917-1 3.254158-5-1.609673+0 3.254625-5-3.818659+0 3.256267-5-1.096809+1 3.260357-5-2.849642+1 3.261653-5-3.514196+1 3.262229-5-3.203168+1 3.269465-5-5.168446-1 3.269614-5 3.295088-1 3.269907-5 1.757763+0 3.270475-5 4.252871+0 3.271007-5 6.418724+0 3.272004-5 1.019971+1 3.274405-5 1.837044+1 3.280635-5 3.741725+1 3.284397-5 4.558772+1 3.288532-5 5.193380+1 3.293383-5 5.643349+1 3.298865-5 5.734292+1 3.307662-5 5.146252+1 3.316477-5 4.028631+1 3.327128-5 2.509703+1 3.337572-5 1.268679+1 3.339681-5 9.561001+0 3.340412-5 8.111968+0 3.341703-5 6.148848+0 3.343034-5 4.402920+0 3.344324-5 2.880647+0 3.345574-5 1.510356+0 3.347995-5-9.339119-1 3.350264-5-3.038285+0 3.384944-5-2.973996+1 3.391589-5-3.517303+1 3.400970-5-2.797316+1 3.412665-5-1.842192+1 3.417630-5-1.493522+1 3.419981-5-1.335116+1 3.427088-5-1.015297+1 3.429704-5-9.697286+0 3.431706-5-9.704356+0 3.434568-5-1.015191+1 3.438248-5-1.143872+1 3.442441-5-1.387292+1 3.445962-5-1.679446+1 3.448846-5-1.994659+1 3.451080-5-2.328291+1 3.458086-5-3.464652+1 3.458393-5-3.523761+1 3.461094-5-2.946388+1 3.466236-5-1.948982+1 3.467740-5-1.585503+1 3.475940-5 1.150289+0 3.476200-5 1.823028+0 3.476705-5 2.937670+0 3.477650-5 4.822509+0 3.479305-5 7.820247+0 3.484290-5 1.631308+1 3.486541-5 1.992430+1 3.490106-5 2.419447+1 3.496910-5 2.996978+1 3.503182-5 3.292349+1 3.508121-5 3.338618+1 3.516618-5 3.085806+1 3.526140-5 2.527196+1 3.535868-5 1.864090+1 3.547192-5 1.204300+1 3.549981-5 1.013255+1 3.551493-5 8.744476+0 3.554043-5 6.994268+0 3.557700-5 4.995331+0 3.560892-5 3.516813+0 3.564083-5 2.188792+0 3.568208-5 6.395253-1 3.572813-5-9.500964-1 3.577178-5-2.303327+0 3.581543-5-3.520265+0 3.585907-5-4.628207+0 3.594032-5-6.445065+0 3.605310-5-8.505921+0 3.618254-5-1.030599+1 3.636022-5-1.199718+1 3.662674-5-1.390134+1 3.689733-5-1.527248+1 3.823337-5-2.025587+1 3.891044-5-2.105076+1 4.445291-5-2.332210+1 6.053758-5-2.656452+1 8.150000-5-2.851894+1 1.803029-4-3.352112+1 2.062607-4-3.668453+1 2.257564-4-4.189401+1 2.355055-4-4.379471+1 2.510144-4-4.241051+1 2.892957-4-3.483216+1 3.289499-4-2.945827+1 3.512401-4-2.798649+1 3.604872-4-2.821286+1 3.716242-4-2.644509+1 4.034197-4-2.216879+1 4.355535-4-1.948426+1 4.567838-4-1.864990+1 4.717911-4-1.705879+1 5.103954-4-1.460332+1 5.557369-4-1.259711+1 6.139297-4-1.075791+1 6.706424-4-9.476390+0 7.498942-4-8.272837+0 8.547215-4-7.309930+0 9.765781-4-6.719294+0 1.136339-3-6.421971+0 1.323171-3-6.469277+0 1.539926-3-6.848976+0 1.782122-3-7.653607+0 1.981051-3-8.754138+0 2.121751-3-1.002467+1 2.216947-3-1.144149+1 2.271376-3-1.275436+1 2.306557-3-1.412774+1 2.332383-3-1.595221+1 2.357688-3-1.839518+1 2.373463-3-1.883000+1 2.392939-3-1.765562+1 2.416695-3-1.605834+1 2.438903-3-1.568707+1 2.467667-3-1.547536+1 2.486391-3-1.445627+1 2.521593-3-1.227828+1 2.557207-3-1.100571+1 2.607281-3-9.987965+0 2.644295-3-9.761203+0 2.673196-3-9.661192+0 2.701459-3-8.896227+0 2.741605-3-7.660196+0 2.794987-3-6.606961+0 2.882389-3-5.399117+0 2.981340-3-4.403608+0 3.103666-3-3.479308+0 3.221835-3-2.806620+0 3.341229-3-2.270178+0 3.454891-3-1.862619+0 3.584724-3-1.484434+0 3.758374-3-1.080857+0 3.907642-3-8.186769-1 4.059234-3-6.051361-1 4.150735-3-4.949753-1 4.262727-3-3.789094-1 4.362877-3-2.941860-1 4.474816-3-2.117402-1 4.590659-3-1.400999-1 4.689741-3-8.893188-2 4.769112-3-4.971956-2 4.802339-3-3.608633-2 4.874058-3-9.419027-3 4.905987-3 1.358737-3 4.926950-3 8.214631-3 4.993649-3 2.829152-2 5.059543-3 4.626783-2 5.120051-3 6.065213-2 5.210447-3 7.705816-2 5.319476-3 9.268802-2 5.456008-3 1.087693-1 5.599565-3 1.189860-1 5.761326-3 1.236355-1 5.885359-3 1.242845-1 6.058202-3 1.204940-1 6.234338-3 1.130814-1 6.518266-3 8.982542-2 6.768092-3 6.313485-2 7.050166-3 2.857053-2 7.161434-3 1.418442-2 7.229302-3 5.676724-3 7.286182-3-1.670871-3 7.368687-3-1.227688-2 7.566695-3-4.031065-2 7.717915-3-6.307460-2 8.035261-3-1.101772-1 1.299422-2-8.863506-1 1.455935-2-1.166631+0 1.584390-2-1.460384+0 1.675698-2-1.749422+0 1.743578-2-2.061154+0 1.789617-2-2.376147+0 1.824088-2-2.737965+0 1.846694-2-3.123114+0 1.862282-2-3.576768+0 1.886758-2-4.566039+0 1.896238-2-4.652114+0 1.905442-2-4.426678+0 1.931143-2-3.271830+0 1.947041-2-2.800817+0 1.963553-2-2.478374+0 1.990447-2-2.103935+0 2.030146-2-1.718353+0 2.078736-2-1.383344+0 2.110203-2-1.213767+0 2.168538-2-9.691219-1 2.218382-2-8.043397-1 2.280050-2-6.377255-1 2.345397-2-4.961674-1 2.400000-2-3.960675-1 2.455754-2-3.099452-1 2.527725-2-2.172455-1 2.589580-2-1.520943-1 2.660247-2-8.898161-2 2.735143-2-3.289027-2 2.787414-2-2.960363-4 2.851460-2 3.549461-2 2.927943-2 7.251764-2 3.010124-2 1.050811-1 3.085851-2 1.292283-1 3.242681-2 1.665407-1 3.387678-2 1.890842-1 3.562890-2 2.073048-1 3.835626-2 2.224816-1 4.123539-2 2.231103-1 4.782859-2 2.024079-1 6.569806-2 1.113723-1 7.187246-2 8.332298-2 7.839822-2 5.690985-2 8.362646-2 3.793341-2 8.925714-2 1.969875-2 9.286489-2 9.036264-3 9.542091-2 2.015491-3 9.620679-2-7.296314-5 9.777615-2-4.219123-3 1.013654-1-1.334054-2 1.068900-1-2.598715-2 1.140845-1-4.069307-2 1.219232-1-5.463125-2 1.325978-1-7.073821-2 1.504702-1-9.224541-2 1.707759-1-1.105457-1 2.030685-1-1.310617-1 2.523046-1-1.504349-1 3.314859-1-1.671847-1 4.717914-1-1.802754-1 7.940157-1-1.893615-1 2.451607+0-1.938720-1 7.403736+0-1.943448-1 1.000000+1-1.943080-1 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.695344-2 1.083754-6 2.452492-2 1.117622-6 2.828252-2 1.152547-6 3.269357-2 1.188564-6 3.788513-2 1.225707-6 4.401229-2 1.264010-6 5.126530-2 1.303511-6 5.987883-2 1.344245-6 7.014404-2 1.386253-6 8.242124-2 1.428427-6 9.674093-2 1.469283-6 1.128229-1 1.547205-6 1.506413-1 1.584349-6 1.723929-1 1.620333-6 1.963946-1 1.655192-6 2.228487-1 1.688961-6 2.519209-1 1.721676-6 2.837833-1 1.753368-6 3.186147-1 1.784069-6 3.566010-1 1.813812-6 3.979352-1 1.842625-6 4.428176-1 1.870537-6 4.914550-1 1.923772-6 6.006155-1 1.949149-6 6.612763-1 1.973732-6 7.264391-1 1.997548-6 7.964936-1 2.020619-6 8.718374-1 2.064620-6 1.038328+0 2.105915-6 1.228604+0 2.125599-6 1.333454+0 2.144669-6 1.445469+0 2.163142-6 1.565406+0 2.198935-6 1.831972+0 2.232490-6 2.131040+0 2.263948-6 2.466833+0 2.293440-6 2.842539+0 2.321089-6 3.261424+0 2.347010-6 3.726875+0 2.371311-6 4.242315+0 2.394093-6 4.811015+0 2.415451-6 5.436342+0 2.435474-6 6.122171+0 2.454246-6 6.872549+0 2.471844-6 7.691390+0 2.488343-6 8.582489+0 2.503810-6 9.549570+0 2.518311-6 1.059628+1 2.531905-6 1.172617+1 2.544650-6 1.294267+1 2.556598-6 1.424902+1 2.567800-6 1.564832+1 2.578301-6 1.714346+1 2.588146-6 1.873713+1 2.597376-6 2.043182+1 2.606028-6 2.222989+1 2.614141-6 2.413355+1 2.621746-6 2.614486+1 2.628875-6 2.826567+1 2.635559-6 3.049759+1 2.641826-6 3.284208+1 2.647700-6 3.530066+1 2.653208-6 3.787517+1 2.658371-6 4.056807+1 2.668053-6 4.652989+1 2.676524-6 5.304660+1 2.683936-6 6.014510+1 2.690422-6 6.782016+1 2.696097-6 7.601527+1 2.701062-6 8.461995+1 2.705407-6 9.348280+1 2.709209-6 1.024328+2 2.712535-6 1.113007+2 2.715446-6 1.199353+2 2.720540-6 1.372075+2 2.736663-6 2.124009+2 2.742555-6 2.477196+2 2.747606-6 2.807120+2 2.749289-6 2.921398+2 2.756023-6 3.390670+2 2.756865-6 3.449843+2 2.762757-6 3.858552+2 2.765072-6 4.013488+2 2.770332-6 4.344460+2 2.774015-6 4.552689+2 2.777908-6 4.746723+2 2.781064-6 4.882142+2 2.782958-6 4.953553+2 2.786325-6 5.062286+2 2.790534-6 5.167149+2 2.794953-6 5.245837+2 2.807848-6 5.407695+2 2.810866-6 5.463809+2 2.817049-6 5.649388+2 2.820643-6 5.818000+2 2.823362-6 5.982346+2 2.827261-6 6.280042+2 2.830741-6 6.611714+2 2.834273-6 7.013641+2 2.837655-6 7.458544+2 2.852120-6 9.868211+2 2.856228-6 1.062126+3 2.859726-6 1.124907+3 2.863113-6 1.182717+3 2.865315-6 1.217951+3 2.868946-6 1.270673+3 2.872466-6 1.313977+3 2.875922-6 1.347654+3 2.878831-6 1.368439+3 2.885641-6 1.387665+3 2.887532-6 1.385444+3 2.892772-6 1.362306+3 2.896064-6 1.335580+3 2.899255-6 1.301441+3 2.902766-6 1.255467+3 2.906170-6 1.203645+3 2.909195-6 1.152599+3 2.912112-6 1.099834+3 2.916542-6 1.014949+3 2.919999-6 9.463182+2 2.923889-6 8.683393+2 2.926914-6 8.081295+2 2.933829-6 6.756588+2 2.936206-6 6.326323+2 2.940744-6 5.550722+2 2.945930-6 4.746913+2 2.952471-6 3.867664+2 2.967192-6 2.418565+2 2.971330-6 2.126658+2 2.975435-6 1.878295+2 2.979509-6 1.667572+2 2.983551-6 1.489004+2 2.987561-6 1.337631+2 2.991540-6 1.209072+2 2.995488-6 1.099531+2 3.000000-6 9.926722+1 3.003291-6 9.250880+1 3.011003-6 7.938365+1 3.018595-6 6.928103+1 3.026067-6 6.128957+1 3.033424-6 5.481085+1 3.040665-6 4.944867+1 3.047793-6 4.493507+1 3.054809-6 4.108333+1 3.061716-6 3.775911+1 3.075208-6 3.231858+1 3.088385-6 2.803317+1 3.101150-6 2.460490+1 3.113516-6 2.180791+1 3.125495-6 1.948903+1 3.137100-6 1.754048+1 3.159234-6 1.446146+1 3.180006-6 1.215057+1 3.235780-6 7.720828+0 3.267395-6 5.959905+0 3.296078-6 4.683016+0 3.375000-6 2.039780+0 3.395979-6 1.490969+0 3.408589-6 1.199803+0 3.419622-6 9.695378-1 3.429277-6 7.873686-1 3.437725-6 6.435379-1 3.445117-6 5.304303-1 3.451584-6 4.419686-1 3.457244-6 3.732581-1 3.466529-6 2.800873-1 3.470320-6 2.499005-1 3.473637-6 2.277325-1 3.476540-6 2.119106-1 3.481620-6 1.933207-1 3.485430-6 1.881882-1 3.488287-6 1.901628-1 3.490430-6 1.953789-1 3.493645-6 2.100387-1 3.495252-6 2.208143-1 3.496859-6 2.341459-1 3.499011-6 2.563783-1 3.500625-6 2.766653-1 3.502743-6 3.084946-1 3.505323-6 3.561647-1 3.507234-6 3.985461-1 3.509585-6 4.599908-1 3.514073-6 6.104467-1 3.522680-6 1.057672+0 3.526446-6 1.339379+0 3.528867-6 1.555054+0 3.531288-6 1.801441+0 3.533439-6 2.048946+0 3.536667-6 2.476244+0 3.539895-6 2.978999+0 3.542046-6 3.360961+0 3.545274-6 4.011884+0 3.548502-6 4.766268+0 3.552267-6 5.792684+0 3.554688-6 6.544161+0 3.557109-6 7.373524+0 3.560874-6 8.830798+0 3.564505-6 1.044481+1 3.567765-6 1.208220+1 3.571549-6 1.422300+1 3.575462-6 1.672227+1 3.582930-6 2.234875+1 3.585453-6 2.451019+1 3.587975-6 2.680398+1 3.596763-6 3.579505+1 3.598343-6 3.756541+1 3.606101-6 4.684168+1 3.608933-6 5.042471+1 3.615066-6 5.840902+1 3.617621-6 6.177949+1 3.621271-6 6.658673+1 3.623618-6 6.964508+1 3.627808-6 7.497873+1 3.632064-6 8.014307+1 3.636452-6 8.508241+1 3.640405-6 8.910521+1 3.643905-6 9.226220+1 3.647724-6 9.521238+1 3.651145-6 9.737174+1 3.655125-6 9.926504+1 3.659013-6 1.004360+2 3.667343-6 1.006056+2 3.671273-6 9.958159+1 3.675856-6 9.753288+1 3.679238-6 9.546663+1 3.682617-6 9.296818+1 3.685743-6 9.030524+1 3.689107-6 8.710290+1 3.692351-6 8.372757+1 3.695629-6 8.007587+1 3.699749-6 7.521729+1 3.702220-6 7.219430+1 3.706614-6 6.669507+1 3.711009-6 6.113090+1 3.715952-6 5.492484+1 3.719797-6 5.022212+1 3.728585-6 4.020501+1 3.744248-6 2.622541+1 3.748143-6 2.370234+1 3.750062-6 2.261096+1 3.755817-6 1.994577+1 3.757470-6 1.934986+1 3.765016-6 1.758136+1 3.766905-6 1.737825+1 3.767818-6 1.731349+1 3.769417-6 1.725191+1 3.773016-6 1.734836+1 3.775190-6 1.755895+1 3.777061-6 1.782823+1 3.779690-6 1.833834+1 3.782825-6 1.913669+1 3.785845-6 2.008669+1 3.789667-6 2.151844+1 3.796028-6 2.437821+1 3.804723-6 2.896000+1 3.808528-6 3.109815+1 3.814295-6 3.436545+1 3.817755-6 3.628976+1 3.822274-6 3.870389+1 3.826001-6 4.057223+1 3.830021-6 4.242621+1 3.839109-6 4.584473+1 3.842718-6 4.686175+1 3.849330-6 4.818029+1 3.852488-6 4.855784+1 3.855352-6 4.876109+1 3.860052-6 4.881657+1 3.863891-6 4.861886+1 3.868929-6 4.805586+1 3.873787-6 4.722334+1 3.875406-6 4.689001+1 3.882305-6 4.520749+1 3.884605-6 4.456709+1 3.893804-6 4.172949+1 3.903003-6 3.864531+1 3.908577-6 3.674836+1 3.921402-6 3.251003+1 3.951671-6 2.404594+1 3.979812-6 1.821280+1 3.989192-6 1.664418+1 4.001876-6 1.479378+1 4.014884-6 1.319572+1 4.027588-6 1.189634+1 4.039895-6 1.084825+1 4.051817-6 9.995990+0 4.063367-6 9.293432+0 4.074556-6 8.704625+0 4.096234-6 7.755089+0 4.116558-6 7.028450+0 4.139534-6 6.338487+0 4.158984-6 5.834491+0 4.186966-6 5.204978+0 4.267557-6 3.788650+0 4.334869-6 2.820443+0 4.356505-6 2.515572+0 4.372732-6 2.280699+0 4.384902-6 2.098588+0 4.403157-6 1.814805+0 4.412285-6 1.670168+0 4.424311-6 1.483190+0 4.436894-6 1.305488+0 4.441088-6 1.254188+0 4.453008-6 1.144416+0 4.456981-6 1.123644+0 4.459995-6 1.114535+0 4.463009-6 1.111826+0 4.464382-6 1.112881+0 4.466785-6 1.118408+0 4.473994-6 1.165949+0 4.482233-6 1.285389+0 4.485666-6 1.358180+0 4.495964-6 1.666083+0 4.500191-6 1.833265+0 4.510451-6 2.339712+0 4.519357-6 2.889508+0 4.525430-6 3.315982+0 4.530610-6 3.706925+0 4.535949-6 4.130069+0 4.541123-6 4.553377+0 4.546564-6 5.004857+0 4.552005-6 5.454328+0 4.557787-6 5.919732+0 4.562888-6 6.311672+0 4.573771-6 7.056605+0 4.577002-6 7.247123+0 4.585522-6 7.668202+0 4.590000-6 7.837980+0 4.594275-6 7.964972+0 4.598549-6 8.057036+0 4.601272-6 8.097408+0 4.606036-6 8.134233+0 4.609609-6 8.134232+0 4.612289-6 8.119211+0 4.616309-6 8.073547+0 4.620329-6 8.001641+0 4.626221-6 7.852962+0 4.628185-6 7.792997+0 4.636347-6 7.496115+0 4.639067-6 7.382504+0 4.649756-6 6.885140+0 4.660741-6 6.324727+0 4.671726-6 5.756669+0 4.704384-6 4.288948+0 4.715631-6 3.900071+0 4.726878-6 3.570936+0 4.738125-6 3.294383+0 4.749372-6 3.061715+0 4.760619-6 2.864297+0 4.771866-6 2.694484+0 4.783113-6 2.546004+0 4.794360-6 2.413979+0 4.809978-6 2.251236+0 4.833657-6 2.037017+0 4.892853-6 1.600756+0 4.916531-6 1.448659+0 4.928370-6 1.375225+0 4.940209-6 1.302927+0 4.952048-6 1.231319+0 4.963887-6 1.159958+0 4.975727-6 1.088430+0 4.987566-6 1.016406+0 4.999405-6 9.437359-1 5.011244-6 8.705820-1 5.023083-6 7.975682-1 5.037137-6 7.127980-1 5.065906-6 5.602262-1 5.075331-6 5.216051-1 5.078314-6 5.109945-1 5.087762-6 4.831220-1 5.100193-6 4.608617-1 5.103301-6 4.579523-1 5.112625-6 4.554641-1 5.116091-6 4.568104-1 5.122157-6 4.618478-1 5.126706-6 4.676238-1 5.135236-6 4.821299-1 5.152762-6 5.194344-1 5.162068-6 5.382122-1 5.165170-6 5.436844-1 5.174780-6 5.570330-1 5.177888-6 5.600138-1 5.187211-6 5.648030-1 5.192430-6 5.649408-1 5.202394-6 5.615578-1 5.213622-6 5.565153-1 5.220423-6 5.562806-1 5.224504-6 5.583823-1 5.226394-6 5.601235-1 5.236312-6 5.799451-1 5.239618-6 5.915147-1 5.244691-6 6.152218-1 5.248495-6 6.383027-1 5.251371-6 6.590543-1 5.256996-6 7.085680-1 5.261215-6 7.539733-1 5.264932-6 8.001679-1 5.267569-6 8.365639-1 5.273502-6 9.296620-1 5.281837-6 1.086653+0 5.295246-6 1.399040+0 5.301941-6 1.578148+0 5.307268-6 1.728737+0 5.313752-6 1.918522+0 5.319356-6 2.085213+0 5.325319-6 2.261878+0 5.327728-6 2.332216+0 5.333838-6 2.505786+0 5.339375-6 2.654467+0 5.342304-6 2.728786+0 5.347682-6 2.855842+0 5.353059-6 2.968825+0 5.353879-6 2.984677+0 5.366171-6 3.173884+0 5.372026-6 3.229350+0 5.381387-6 3.268782+0 5.387773-6 3.260956+0 5.391416-6 3.244261+0 5.394604-6 3.222650+0 5.400184-6 3.169915+0 5.404368-6 3.118752+0 5.407507-6 3.074391+0 5.414568-6 2.957958+0 5.416922-6 2.914655+0 5.423351-6 2.787059+0 5.429780-6 2.648951+0 5.441081-6 2.392990+0 5.444370-6 2.317866+0 5.471061-6 1.773318+0 5.476137-6 1.693851+0 5.482218-6 1.612750+0 5.487397-6 1.556799+0 5.497284-6 1.485868+0 5.500562-6 1.473093+0 5.510395-6 1.467069+0 5.514902-6 1.480172+0 5.519205-6 1.501579+0 5.523507-6 1.531259+0 5.526802-6 1.559271+0 5.529685-6 1.587310+0 5.534730-6 1.643676+0 5.541353-6 1.729985+0 5.563263-6 2.076632+0 5.571636-6 2.214897+0 5.576660-6 2.294501+0 5.590057-6 2.482032+0 5.591731-6 2.502095+0 5.603453-6 2.615803+0 5.608058-6 2.646322+0 5.616850-6 2.680457+0 5.620444-6 2.685065+0 5.626734-6 2.680064+0 5.631451-6 2.665600+0 5.638527-6 2.627426+0 5.645604-6 2.570845+0 5.651926-6 2.506298+0 5.658249-6 2.430222+0 5.667389-6 2.303452+0 5.670436-6 2.257608+0 5.683832-6 2.041446+0 5.691829-6 1.905775+0 5.699826-6 1.768931+0 5.705225-6 1.677200+0 5.713677-6 1.536544+0 5.719017-6 1.450335+0 5.735039-6 1.208611+0 5.754067-6 9.617500-1 5.763733-6 8.550000-1 5.792106-6 6.196584-1 5.800883-6 5.718811-1 5.807740-6 5.433329-1 5.812457-6 5.282986-1 5.818431-6 5.147784-1 5.823141-6 5.085433-1 5.840204-6 5.191823-1 5.844439-6 5.298739-1 5.850790-6 5.517547-1 5.857432-6 5.818580-1 5.861437-6 6.033899-1 5.867880-6 6.429785-1 5.874322-6 6.880803-1 5.893626-6 8.475316-1 5.898787-6 8.937772-1 5.906295-6 9.615254-1 5.913803-6 1.028009+0 5.925105-6 1.121216+0 5.928872-6 1.149454+0 5.943438-6 1.239780+0 5.947016-6 1.256534+0 5.957750-6 1.291881+0 5.961330-6 1.298411+0 5.972070-6 1.301602+0 5.976269-6 1.296161+0 5.982567-6 1.281143+0 5.988866-6 1.258272+0 5.994021-6 1.234122+0 6.001754-6 1.189706+0 6.005620-6 1.164266+0 6.009487-6 1.136987+0 6.017578-6 1.075087+0 6.025669-6 1.008776+0 6.037010-6 9.135048-1 6.055734-6 7.683654-1 6.064208-6 7.146403-1 6.070644-6 6.810083-1 6.076623-6 6.561737-1 6.082601-6 6.380921-1 6.089091-6 6.266097-1 6.098439-6 6.256462-1 6.103252-6 6.324306-1 6.112441-6 6.589195-1 6.116312-6 6.752149-1 6.122119-6 7.050316-1 6.127926-6 7.408480-1 6.136099-6 8.002278-1 6.157870-6 9.937404-1 6.162797-6 1.041056+0 6.172451-6 1.133122+0 6.179691-6 1.199310+0 6.183970-6 1.236396+0 6.190499-6 1.289077+0 6.197027-6 1.335978+0 6.211992-6 1.416279+0 6.213815-6 1.423140+0 6.226873-6 1.452018+0 6.233734-6 1.452654+0 6.240284-6 1.444034+0 6.246834-6 1.426776+0 6.250550-6 1.413357+0 6.257053-6 1.384033+0 6.261930-6 1.357590+0 6.269246-6 1.311745+0 6.276562-6 1.259831+0 6.283794-6 1.204130+0 6.290418-6 1.150672+0 6.301630-6 1.058445+0 6.323583-6 8.901220-1 6.335108-6 8.173318-1 6.344020-6 7.712099-1 6.348309-6 7.524684-1 6.361176-6 7.102053-1 6.366099-6 6.995561-1 6.373482-6 6.890985-1 6.380866-6 6.848914-1 6.389710-6 6.873035-1 6.396307-6 6.937461-1 6.406233-6 7.096053-1 6.416159-6 7.311043-1 6.448101-6 8.150837-1 6.473955-6 8.708223-1 6.480484-6 8.805348-1 6.500256-6 8.974345-1 6.506508-6 8.989836-1 6.517104-6 8.979537-1 6.524892-6 8.946928-1 6.542441-6 8.818812-1 6.581383-6 8.466487-1 6.593951-6 8.378984-1 6.613070-6 8.285294-1 6.647377-6 8.196294-1 6.687834-6 8.089035-1 6.745572-6 7.881323-1 6.770166-6 7.847018-1 6.794403-6 7.873624-1 6.823148-6 7.976861-1 6.917677-6 8.502019-1 6.988655-6 8.836138-1 7.131468-6 9.432980-1 7.350000-6 1.040670+0 7.490574-6 1.112903+0 7.687636-6 1.227114+0 7.857685-6 1.337535+0 8.192000-6 1.588141+0 9.106385-6 2.479011+0 9.683995-6 3.190356+0 1.028025-5 4.051893+0 1.093487-5 5.138523+0 1.176238-5 6.742392+0 1.246578-5 8.311324+0 1.320442-5 1.018505+1 1.398683-5 1.240961+1 1.479108-5 1.498076+1 1.586135-5 1.880937+1 1.679806-5 2.254727+1 1.769701-5 2.640832+1 1.852731-5 3.018122+1 1.925000-5 3.355539+1 2.000000-5 3.709319+1 2.066972-5 4.021222+1 2.153548-5 4.419342+1 2.221371-5 4.761072+1 2.317395-5 5.288500+1 2.454709-5 6.129657+1 2.502759-5 6.458194+1 2.570396-5 6.958646+1 2.639094-5 7.518477+1 2.713780-5 8.215850+1 2.781681-5 8.953318+1 2.843413-5 9.745464+1 2.899536-5 1.059357+2 2.951209-5 1.152763+2 2.996950-5 1.251486+2 3.039564-5 1.362066+2 3.071892-5 1.461422+2 3.093344-5 1.536475+2 3.113777-5 1.616247+2 3.135489-5 1.711697+2 3.155844-5 1.813157+2 3.175554-5 1.924645+2 3.192817-5 2.034944+2 3.216196-5 2.206798+2 3.240053-5 2.415150+2 3.259088-5 2.612226+2 3.278975-5 2.856283+2 3.290362-5 3.017987+2 3.302287-5 3.208294+2 3.320428-5 3.548622+2 3.329224-5 3.740871+2 3.337471-5 3.940875+2 3.345202-5 4.148642+2 3.353875-5 4.409189+2 3.365615-5 4.818374+2 3.371587-5 5.057076+2 3.382784-5 5.575706+2 3.392582-5 6.128214+2 3.401156-5 6.714954+2 3.408657-5 7.335064+2 3.415221-5 7.985514+2 3.420964-5 8.660675+2 3.425990-5 9.352545+2 3.430387-5 1.005152+3 3.434235-5 1.074741+3 3.440968-5 1.219138+3 3.446018-5 1.349943+3 3.449805-5 1.462930+3 3.452646-5 1.557040+3 3.459037-5 1.801751+3 3.465427-5 2.097983+3 3.486725-5 3.533863+3 3.495245-5 4.315269+3 3.501490-5 4.955886+3 3.510961-5 6.009299+3 3.512033-5 6.132733+3 3.519539-5 7.004357+3 3.524507-5 7.574839+3 3.530386-5 8.222795+3 3.534130-5 8.610171+3 3.538464-5 9.024987+3 3.542974-5 9.409336+3 3.546360-5 9.660693+3 3.551685-5 9.982375+3 3.555412-5 1.014883+4 3.560403-5 1.029024+4 3.564777-5 1.033427+4 3.569868-5 1.029008+4 3.574113-5 1.017564+4 3.578016-5 1.001046+4 3.581703-5 9.804521+3 3.584791-5 9.597165+3 3.588956-5 9.271695+3 3.593301-5 8.882736+3 3.597491-5 8.467465+3 3.601211-5 8.072158+3 3.605995-5 7.536705+3 3.609722-5 7.105397+3 3.614514-5 6.542328+3 3.619306-5 5.979732+3 3.624098-5 5.427372+3 3.629689-5 4.806949+3 3.632563-5 4.501374+3 3.640807-5 3.687000+3 3.645921-5 3.233422+3 3.650941-5 2.829080+3 3.657402-5 2.368377+3 3.664277-5 1.949467+3 3.684053-5 1.103052+3 3.688436-5 9.767790+2 3.692819-5 8.696758+2 3.699736-5 7.373221+2 3.701585-5 7.092550+2 3.708159-5 6.337385+2 3.710350-5 6.169123+2 3.714185-5 5.974804+2 3.716343-5 5.921651+2 3.718076-5 5.908361+2 3.720033-5 5.924987+2 3.721611-5 5.962948+2 3.722947-5 6.012252+2 3.724960-5 6.116399+2 3.728056-5 6.346876+2 3.733051-5 6.899033+2 3.735305-5 7.220850+2 3.738345-5 7.726237+2 3.747644-5 9.766341+2 3.758394-5 1.297348+3 3.760213-5 1.359382+3 3.766143-5 1.574237+3 3.770940-5 1.759348+3 3.775142-5 1.927029+3 3.779215-5 2.092084+3 3.783698-5 2.273762+3 3.787605-5 2.429532+3 3.791825-5 2.592472+3 3.793563-5 2.657312+3 3.798952-5 2.847345+3 3.803221-5 2.983326+3 3.807834-5 3.112617+3 3.812420-5 3.220396+3 3.815234-5 3.275294+3 3.819263-5 3.338101+3 3.822486-5 3.374458+3 3.827034-5 3.404272+3 3.831190-5 3.409466+3 3.834500-5 3.398785+3 3.839232-5 3.361581+3 3.842274-5 3.324753+3 3.845315-5 3.278516+3 3.848400-5 3.222718+3 3.852449-5 3.137215+3 3.857655-5 3.009775+3 3.862356-5 2.881176+3 3.867057-5 2.743218+3 3.872360-5 2.580465+3 3.876687-5 2.445045+3 3.886019-5 2.155395+3 3.895265-5 1.885391+3 3.914070-5 1.428244+3 3.923473-5 1.251745+3 3.932875-5 1.107043+3 3.955755-5 8.570417+2 3.961961-5 8.072850+2 3.971278-5 7.427001+2 3.979888-5 6.918528+2 3.989290-5 6.443109+2 3.996526-5 6.126334+2 4.003762-5 5.847607+2 4.013945-5 5.513094+2 4.020213-5 5.337133+2 4.025603-5 5.202057+2 4.031413-5 5.071543+2 4.040596-5 4.892802+2 4.050541-5 4.730210+2 4.096570-5 4.203422+2 4.116191-5 4.028321+2 4.184679-5 3.500859+2 4.216965-5 3.294099+2 4.232203-5 3.211901+2 4.248474-5 3.138882+2 4.265557-5 3.080622+2 4.276664-5 3.052798+2 4.294215-5 3.022781+2 4.317922-5 3.000759+2 4.379327-5 2.959858+2 4.444902-5 2.886411+2 4.733852-5 2.591795+2 5.055524-5 2.336882+2 5.760000-5 1.928461+2 6.192388-5 1.730455+2 6.370300-5 1.654149+2 6.546188-5 1.570929+2 6.570728-5 1.563399+2 6.618657-5 1.557671+2 6.684480-5 1.558196+2 6.732586-5 1.550224+2 6.875788-5 1.500343+2 7.640759-5 1.318165+2 8.341716-5 1.193197+2 8.912509-5 1.113611+2 9.588669-5 1.038128+2 1.025156-4 9.793166+1 1.072198-4 9.440161+1 1.141009-4 8.996340+1 1.281086-4 8.248548+1 1.366003-4 7.846656+1 1.477666-4 7.337141+1 1.540000-4 7.035946+1 1.621810-4 6.630881+1 1.678804-4 6.336573+1 1.762324-4 5.868619+1 1.820000-4 5.520240+1 1.883649-4 5.105350+1 1.942190-4 4.695030+1 2.000622-4 4.256496+1 2.040273-4 3.939645+1 2.097018-4 3.460017+1 2.143853-4 3.037508+1 2.184447-4 2.649292+1 2.203156-4 2.462768+1 2.238935-4 2.090252+1 2.260616-4 1.850833+1 2.276396-4 1.669670+1 2.283182-4 1.591661+1 2.305752-4 1.352646+1 2.311813-4 1.299225+1 2.317584-4 1.254191+1 2.322840-4 1.218321+1 2.328802-4 1.183388+1 2.335177-4 1.152049+1 2.342128-4 1.123444+1 2.365208-4 1.042950+1 2.374375-4 1.006772+1 2.385161-4 9.582924+0 2.413375-4 8.287761+0 2.421500-4 8.002353+0 2.428124-4 7.822728+0 2.435500-4 7.690160+0 2.440000-4 7.649402+0 2.446898-4 7.654599+0 2.453937-4 7.756210+0 2.456835-4 7.829763+0 2.463500-4 8.077211+0 2.469500-4 8.402701+0 2.474500-4 8.756237+0 2.478533-4 9.100452+0 2.483133-4 9.561810+0 2.488000-4 1.013482+1 2.493542-4 1.090029+1 2.498190-4 1.164030+1 2.506750-4 1.325131+1 2.513968-4 1.487278+1 2.535481-4 2.121517+1 2.546539-4 2.536539+1 2.553997-4 2.849497+1 2.566246-4 3.418040+1 2.574995-4 3.862659+1 2.584496-4 4.378196+1 2.587538-4 4.549867+1 2.598267-4 5.177898+1 2.608950-4 5.833697+1 2.624400-4 6.823546+1 2.642498-4 8.026126+1 2.654998-4 8.874038+1 2.660725-4 9.265665+1 2.676927-4 1.038025+2 2.692500-4 1.145625+2 2.702500-4 1.214751+2 2.712727-4 1.285358+2 2.730000-4 1.404176+2 2.750000-4 1.540485+2 2.770350-4 1.677033+2 2.790000-4 1.806313+2 2.810000-4 1.934794+2 2.831500-4 2.068428+2 2.856500-4 2.216448+2 2.889258-4 2.397741+2 2.915000-4 2.530186+2 2.940000-4 2.649713+2 2.985383-4 2.846168+2 3.023231-4 2.992409+2 3.047500-4 3.078923+2 3.090296-4 3.221719+2 3.124724-4 3.329996+2 3.198895-4 3.549478+2 3.231621-4 3.640032+2 3.323791-4 3.885344+2 3.388442-4 4.043036+2 3.450116-4 4.177882+2 3.513395-4 4.302944+2 3.580716-4 4.415000+2 3.648280-4 4.504058+2 3.703184-4 4.563258+2 3.756590-4 4.746337+2 3.776164-4 4.945216+2 3.785176-4 5.070361+2 3.803280-4 5.367427+2 3.831384-4 5.794972+2 3.841068-4 5.880158+2 3.850716-4 5.917379+2 3.859537-4 5.908761+2 3.869013-4 5.859037+2 3.889399-4 5.662694+2 3.905380-4 5.497565+2 3.915848-4 5.415962+2 3.923904-4 5.375547+2 3.937898-4 5.357817+2 3.942778-4 5.367202+2 3.961374-4 5.466213+2 3.974427-4 5.578964+2 3.988564-4 5.717560+2 4.011799-4 5.921129+2 4.020585-4 5.975354+2 4.029526-4 6.013421+2 4.040125-4 6.035858+2 4.050537-4 6.036561+2 4.093236-4 5.946074+2 4.109138-4 5.928986+2 4.125289-4 5.936359+2 4.181411-4 6.086395+2 4.234375-4 6.248982+2 4.306875-4 6.425863+2 4.394721-4 6.595767+2 4.526262-4 6.798633+2 4.636423-4 6.924685+2 4.818370-4 7.076888+2 4.854764-4 7.124942+2 4.930364-4 7.279674+2 5.046782-4 7.549143+2 5.110195-4 7.663889+2 5.211662-4 7.802495+2 5.327857-4 7.927573+2 5.511248-4 8.092056+2 5.691387-4 8.226190+2 5.871512-4 8.337927+2 6.086881-4 8.447898+2 6.503169-4 8.608441+2 7.000000-4 8.738516+2 7.210492-4 8.774066+2 7.695733-4 8.803302+2 8.619236-4 8.795293+2 9.372922-4 8.752372+2 1.030943-3 8.655314+2 1.076639-3 8.593113+2 1.230269-3 8.299372+2 1.368224-3 8.025616+2 1.437438-3 7.869734+2 1.578175-3 7.535864+2 1.651675-3 7.357339+2 1.738003-3 7.130281+2 1.820078-3 6.905795+2 1.904818-3 6.665681+2 1.985238-3 6.422974+2 2.055447-3 6.187216+2 2.116533-3 5.962624+2 2.175539-3 5.726254+2 2.224289-3 5.512214+2 2.264644-3 5.316850+2 2.302320-3 5.113630+2 2.333547-3 4.923651+2 2.363549-3 4.715623+2 2.387503-3 4.525430+2 2.404704-3 4.370442+2 2.424874-3 4.160594+2 2.440225-3 3.972732+2 2.453918-3 3.781085+2 2.471759-3 3.510571+2 2.484812-3 3.329406+2 2.493570-3 3.236786+2 2.497933-3 3.203585+2 2.502937-3 3.177941+2 2.508978-3 3.165972+2 2.515020-3 3.175164+2 2.521062-3 3.204554+2 2.527458-3 3.255184+2 2.536405-3 3.352418+2 2.564291-3 3.729839+2 2.575035-3 3.865049+2 2.592408-3 4.059522+2 2.617447-3 4.341034+2 2.636356-3 4.592730+2 2.650618-3 4.800345+2 2.666748-3 5.033893+2 2.678391-3 5.190153+2 2.687713-3 5.303516+2 2.697763-3 5.412399+2 2.710914-3 5.533818+2 2.726492-3 5.649420+2 2.743140-3 5.744039+2 2.760491-3 5.815678+2 2.777640-3 5.863744+2 2.816958-3 5.946077+2 2.828706-3 5.990104+2 2.846251-3 6.093250+2 2.874353-3 6.334781+2 2.888631-3 6.466240+2 2.903638-3 6.592524+2 2.918557-3 6.700011+2 2.937032-3 6.808935+2 2.958998-3 6.912197+2 2.985382-3 7.012477+2 3.041544-3 7.175880+2 3.110669-3 7.318460+2 3.180865-3 7.420522+2 3.252083-3 7.490890+2 3.341255-3 7.543085+2 3.467731-3 7.565622+2 3.630781-3 7.541365+2 3.845918-3 7.446453+2 4.120975-3 7.270321+2 4.415704-3 7.044814+2 4.768897-3 6.752200+2 5.198390-3 6.392508+2 5.745761-3 5.948912+2 6.270712-3 5.556821+2 6.918522-3 5.116431+2 7.829325-3 4.575814+2 8.748000-3 4.110368+2 9.496884-3 3.777389+2 1.026467-2 3.472210+2 1.108300-2 3.179923+2 1.202264-2 2.879765+2 1.293414-2 2.619782+2 1.390089-2 2.372733+2 1.450649-2 2.231189+2 1.556252-2 2.004490+2 1.647728-2 1.825306+2 1.719124-2 1.693038+2 1.777491-2 1.587031+2 1.822167-2 1.504960+2 1.857827-2 1.436717+2 1.886071-2 1.378556+2 1.899984-2 1.347498+2 1.912444-2 1.317504+2 1.922573-2 1.290832+2 1.931776-2 1.263977+2 1.939611-2 1.238472+2 1.949845-2 1.200818+2 1.965558-2 1.135815+2 1.976736-2 1.092764+2 1.984020-2 1.072039+2 1.990523-2 1.061262+2 1.995530-2 1.058755+2 1.999756-2 1.060646+2 2.005341-2 1.068388+2 2.012213-2 1.084673+2 2.033125-2 1.153213+2 2.043318-2 1.183119+2 2.050681-2 1.200605+2 2.063154-2 1.222658+2 2.078492-2 1.239982+2 2.100602-2 1.253862+2 2.125691-2 1.260996+2 2.167392-2 1.261735+2 2.225871-2 1.249861+2 2.284335-2 1.229862+2 2.371374-2 1.192633+2 2.482014-2 1.140662+2 2.632162-2 1.069273+2 2.799157-2 9.926010+1 3.087726-2 8.738275+1 3.396537-2 7.658970+1 3.734460-2 6.671490+1 4.010551-2 5.985651+1 4.466836-2 5.044115+1 5.024744-2 4.165050+1 5.613487-2 3.455694+1 6.416780-2 2.737444+1 8.854230-2 1.546237+1 1.137745-1 9.852222+0 1.361247-1 7.091017+0 1.665592-1 4.866219+0 2.137962-1 3.029108+0 2.902770-1 1.680110+0 4.162699-1 8.321758-1 6.240715-1 3.751046-1 1.070165+0 1.286489-1 2.814822+0 1.867479-2 8.500626+0 2.049024-3 2.567148+1 2.246877-4 7.752663+1 2.463671-5 2.341267+2 2.701364-6 7.070513+2 2.961987-7 2.511886+3 2.346848-8 7.943282+3 2.346848-9 2.511886+4 2.34685-10 7.943282+4 2.34685-11 1.000000+5 1.48076-11 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.398000-6 1.258900-6 2.215600-6 1.584900-6 3.511500-6 1.995300-6 5.565400-6 2.511900-6 8.820500-6 3.162300-6 1.398000-5 3.981100-6 2.215600-5 5.011900-6 3.511500-5 6.309600-6 5.565300-5 7.943300-6 8.820300-5 1.000000-5 1.397900-4 1.258900-5 2.215500-4 1.584900-5 3.510100-4 1.995300-5 5.560700-4 2.511900-5 8.809800-4 3.162300-5 1.395900-3 3.981100-5 2.211800-3 5.011900-5 3.504800-3 6.309600-5 5.553900-3 7.943300-5 8.793300-3 1.000000-4 1.391900-2 1.258900-4 2.200900-2 1.584900-4 3.477000-2 1.995300-4 5.482700-2 2.511900-4 8.617100-2 3.162300-4 1.348800-1 3.981100-4 2.096100-1 5.011900-4 3.216400-1 6.309600-4 4.852500-1 7.943300-4 7.154100-1 1.000000-3 1.025100+0 1.258900-3 1.423500+0 1.584900-3 1.917700+0 1.995300-3 2.521600+0 2.511900-3 3.255100+0 3.162300-3 4.133700+0 3.981100-3 5.173100+0 5.011900-3 6.385300+0 6.309600-3 7.764300+0 7.943300-3 9.251800+0 1.000000-2 1.076900+1 1.258900-2 1.228800+1 1.584900-2 1.378200+1 1.995300-2 1.526200+1 2.511900-2 1.658900+1 3.162300-2 1.770300+1 3.981100-2 1.855800+1 5.011900-2 1.911000+1 6.309600-2 1.932700+1 7.943300-2 1.922400+1 1.000000-1 1.884300+1 1.258900-1 1.822100+1 1.584900-1 1.740700+1 1.995300-1 1.644200+1 2.511900-1 1.538000+1 3.162300-1 1.426200+1 3.981100-1 1.312700+1 5.011900-1 1.200100+1 6.309600-1 1.090400+1 7.943300-1 9.842700+0 1.000000+0 8.834600+0 1.258900+0 7.878300+0 1.584900+0 6.980800+0 1.995300+0 6.146200+0 2.511900+0 5.377100+0 3.162300+0 4.675300+0 3.981100+0 4.041200+0 5.011900+0 3.473400+0 6.309600+0 2.970200+0 7.943300+0 2.527500+0 1.000000+1 2.141400+0 1.258900+1 1.806900+0 1.584900+1 1.519100+0 1.995300+1 1.272900+0 2.511900+1 1.063400+0 3.162300+1 8.860000-1 3.981100+1 7.363800-1 5.011900+1 6.106800-1 6.309600+1 5.054200-1 7.943300+1 4.175400-1 1.000000+2 3.443800-1 1.258900+2 2.836000-1 1.584900+2 2.332300-1 1.995300+2 1.915600-1 2.511900+2 1.571500-1 3.162300+2 1.287800-1 3.981100+2 1.054300-1 5.011900+2 8.622700-2 6.309600+2 7.046300-2 7.943300+2 5.753300-2 1.000000+3 4.694000-2 1.258900+3 3.827000-2 1.584900+3 3.118000-2 1.995300+3 2.538700-2 2.511900+3 2.065800-2 3.162300+3 1.680000-2 3.981100+3 1.365500-2 5.011900+3 1.109300-2 6.309600+3 9.006900-3 7.943300+3 7.309800-3 1.000000+4 5.929800-3 1.258900+4 4.808200-3 1.584900+4 3.897100-3 1.995300+4 3.157400-3 2.511900+4 2.557100-3 3.162300+4 2.070100-3 3.981100+4 1.675300-3 5.011900+4 1.355300-3 6.309600+4 1.096100-3 7.943300+4 8.861700-4 1.000000+5 7.162200-4 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510164-4 3.162278-4 3.159552-4 3.981072-4 3.976763-4 5.011872-4 5.005059-4 6.309573-4 6.298872-4 7.943282-4 7.926444-4 1.000000-3 9.973651-4 1.258925-3 1.254818-3 1.584893-3 1.578489-3 1.995262-3 1.985271-3 2.511886-3 2.496251-3 3.162278-3 3.137818-3 3.981072-3 3.942869-3 5.011872-3 4.952104-3 6.309573-3 6.216213-3 7.943282-3 7.798032-3 1.000000-2 9.775031-3 1.258925-2 1.224152-2 1.584893-2 1.531130-2 1.995262-2 1.912493-2 2.511886-2 2.384862-2 3.162278-2 2.968310-2 3.981072-2 3.686730-2 5.011872-2 4.568057-2 6.309573-2 5.645488-2 7.943282-2 6.957365-2 1.000000-1 8.544821-2 1.258925-1 1.046156-1 1.584893-1 1.276356-1 1.995262-1 1.552103-1 2.511886-1 1.881057-1 3.162278-1 2.272295-1 3.981072-1 2.735883-1 5.011872-1 3.283576-1 6.309573-1 3.929019-1 7.943282-1 4.690266-1 1.000000+0 5.583718-1 1.258925+0 6.637047-1 1.584893+0 7.880760-1 1.995262+0 9.351536-1 2.511886+0 1.109678+0 3.162278+0 1.317400+0 3.981072+0 1.565362+0 5.011872+0 1.862085+0 6.309573+0 2.218284+0 7.943282+0 2.646772+0 1.000000+1 3.163396+0 1.258925+1 3.787425+0 1.584893+1 4.542544+0 1.995262+1 5.457798+0 2.511886+1 6.568497+0 3.162278+1 7.918494+0 3.981072+1 9.561075+0 5.011872+1 1.156171+1 6.309573+1 1.400135+1 7.943282+1 1.697886+1 1.000000+2 2.061638+1 1.258925+2 2.506357+1 1.584893+2 3.050512+1 1.995262+2 3.716878+1 2.511886+2 4.533368+1 3.162278+2 5.534621+1 3.981072+2 6.763066+1 5.011872+2 8.271377+1 6.309573+2 1.012435+2 7.943282+2 1.240190+2 1.000000+3 1.520275+2 1.258925+3 1.864926+2 1.584893+3 2.289200+2 1.995262+3 2.811770+2 2.511886+3 3.455630+2 3.162278+3 4.249389+2 3.981072+3 5.228233+2 5.011872+3 6.435834+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88225-10 1.995262-5 1.090695-9 2.511886-5 1.728605-9 3.162278-5 2.739654-9 3.981072-5 4.342049-9 5.011872-5 6.881586-9 6.309573-5 1.090621-8 7.943282-5 1.728030-8 1.000000-4 2.738218-8 1.258925-4 4.337968-8 1.584893-4 6.872009-8 1.995262-4 1.088305-7 2.511886-4 1.722872-7 3.162278-4 2.725826-7 3.981072-4 4.308462-7 5.011872-4 6.813068-7 6.309573-4 1.070121-6 7.943282-4 1.683808-6 1.000000-3 2.634920-6 1.258925-3 4.107427-6 1.584893-3 6.404031-6 1.995262-3 9.991815-6 2.511886-3 1.563543-5 3.162278-3 2.445922-5 3.981072-3 3.820303-5 5.011872-3 5.976811-5 6.309573-3 9.336066-5 7.943282-3 1.452500-4 1.000000-2 2.249694-4 1.258925-2 3.477309-4 1.584893-2 5.376287-4 1.995262-2 8.276946-4 2.511886-2 1.270241-3 3.162278-2 1.939677-3 3.981072-2 2.943419-3 5.011872-2 4.438151-3 6.309573-2 6.640853-3 7.943282-2 9.859177-3 1.000000-1 1.455179-2 1.258925-1 2.127696-2 1.584893-1 3.085374-2 1.995262-1 4.431595-2 2.511886-1 6.308295-2 3.162278-1 8.899822-2 3.981072-1 1.245189-1 5.011872-1 1.728296-1 6.309573-1 2.380555-1 7.943282-1 3.253016-1 1.000000+0 4.416282-1 1.258925+0 5.952207-1 1.584893+0 7.968172-1 1.995262+0 1.060109+0 2.511886+0 1.402208+0 3.162278+0 1.844878+0 3.981072+0 2.415710+0 5.011872+0 3.149787+0 6.309573+0 4.091290+0 7.943282+0 5.296510+0 1.000000+1 6.836604+0 1.258925+1 8.801829+0 1.584893+1 1.130639+1 1.995262+1 1.449483+1 2.511886+1 1.855037+1 3.162278+1 2.370428+1 3.981072+1 3.024964+1 5.011872+1 3.855701+1 6.309573+1 4.909438+1 7.943282+1 6.245396+1 1.000000+2 7.938362+1 1.258925+2 1.008290+2 1.584893+2 1.279842+2 1.995262+2 1.623575+2 2.511886+2 2.058550+2 3.162278+2 2.608816+2 3.981072+2 3.304765+2 5.011872+2 4.184735+2 6.309573+2 5.297139+2 7.943282+2 6.703093+2 1.000000+3 8.479725+2 1.258925+3 1.072433+3 1.584893+3 1.355973+3 1.995262+3 1.714085+3 2.511886+3 2.166323+3 3.162278+3 2.737339+3 3.981072+3 3.458248+3 5.011872+3 4.368289+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.970000-6 1.269840+6 6.095369-6 1.138337+6 6.382635-6 8.866401+5 6.606934-6 7.315788+5 6.770000-6 6.365201+5 6.770000-6 6.766301+6 6.850000-6 6.841824+6 7.000000-6 6.991923+6 7.000000-6 1.085228+7 7.100000-6 1.104920+7 7.161434-6 1.117249+7 7.350000-6 1.153825+7 7.413102-6 1.166393+7 7.585776-6 1.200517+7 7.600000-6 1.203202+7 7.850000-6 1.251340+7 7.852356-6 1.251787+7 8.035261-6 1.286857+7 8.100000-6 1.298723+7 8.317638-6 1.339190+7 8.350000-6 1.345062+7 8.511380-6 1.374552+7 8.600000-6 1.390016+7 8.810489-6 1.427116+7 8.912509-6 1.445279+7 9.015711-6 1.463027+7 9.120108-6 1.481065+7 9.225714-6 1.498273+7 9.440609-6 1.533504+7 9.549926-6 1.551527+7 9.660509-6 1.569181+7 9.850000-6 1.599545+7 1.000000-5 1.622305+7 1.020000-5 1.652743+7 1.035142-5 1.675844+7 1.042000-5 1.685955+7 1.060000-5 1.712513+7 1.071519-5 1.729525+7 1.077000-5 1.737218+7 1.100000-5 1.769504+7 1.122018-5 1.800412+7 1.165000-5 1.858540+7 1.174898-5 1.871907+7 1.180000-5 1.878449+7 1.195000-5 1.897665+7 1.207000-5 1.913017+7 1.218000-5 1.927073+7 1.226000-5 1.937285+7 1.235000-5 1.948764+7 1.244515-5 1.960887+7 1.252000-5 1.970097+7 1.260000-5 1.979930+7 1.267000-5 1.988525+7 1.275000-5 1.998338+7 1.282000-5 2.006916+7 1.290000-5 2.016709+7 1.297000-5 2.025269+7 1.305000-5 2.035041+7 1.313000-5 2.044802+7 1.318257-5 2.051211+7 1.320000-5 2.053224+7 1.330000-5 2.064761+7 1.340000-5 2.076279+7 1.353000-5 2.091223+7 1.365000-5 2.104989+7 1.380384-5 2.122595+7 1.396368-5 2.140840+7 1.400000-5 2.144830+7 1.470000-5 2.221191+7 1.479108-5 2.231053+7 1.500000-5 2.252189+7 1.531087-5 2.283466+7 1.548817-5 2.301213+7 1.560000-5 2.311901+7 1.590000-5 2.340439+7 1.621810-5 2.370490+7 1.650000-5 2.394980+7 1.678804-5 2.419830+7 1.680000-5 2.420791+7 1.717908-5 2.451103+7 1.737801-5 2.466889+7 1.757924-5 2.481079+7 1.800000-5 2.510488+7 1.840772-5 2.536291+7 1.850000-5 2.542086+7 1.883649-5 2.559842+7 1.905461-5 2.571247+7 1.935000-5 2.584733+7 1.950000-5 2.591527+7 1.995262-5 2.607136+7 2.000000-5 2.608754+7 2.041738-5 2.620071+7 2.056900-5 2.622405+7 2.089296-5 2.627339+7 2.130000-5 2.630748+7 2.137962-5 2.631406+7 2.162719-5 2.630442+7 2.190000-5 2.627586+7 2.230000-5 2.623461+7 2.238721-5 2.621496+7 2.270000-5 2.612092+7 2.317395-5 2.598145+7 2.330000-5 2.592948+7 2.350000-5 2.583063+7 2.400000-5 2.558867+7 2.420000-5 2.546981+7 2.454709-5 2.523745+7 2.483133-5 2.505111+7 2.511886-5 2.483183+7 2.570396-5 2.435101+7 2.600160-5 2.407923+7 2.660725-5 2.349719+7 2.691535-5 2.317669+7 2.704500-5 2.303404+7 2.754229-5 2.250105+7 2.786121-5 2.213618+7 2.851018-5 2.138118+7 2.870000-5 2.114912+7 2.950000-5 2.017077+7 2.951209-5 2.015549+7 3.019952-5 1.927746+7 3.040000-5 1.903230+7 3.054921-5 1.884258+7 3.126079-5 1.793726+7 3.162278-5 1.747764+7 3.210300-5 1.687056+7 3.235937-5 1.655871+7 3.273407-5 1.609416+7 3.350000-5 1.516881+7 3.388442-5 1.471137+7 3.427678-5 1.424984+7 3.467369-5 1.380278+7 3.507519-5 1.335122+7 3.590900-5 1.245141+7 3.630781-5 1.203366+7 3.672823-5 1.160222+7 3.730000-5 1.104755+7 3.770000-5 1.066765+7 3.850000-5 9.940819+6 3.900000-5 9.505583+6 3.935501-5 9.205256+6 4.000000-5 8.690090+6 4.027170-5 8.477273+6 4.150000-5 7.577401+6 4.168694-5 7.447377+6 4.216965-5 7.118239+6 4.246000-5 6.929039+6 4.246000-5 1.118092+7 4.300000-5 1.073828+7 4.315191-5 1.060846+7 4.365158-5 1.019044+7 4.450000-5 9.498760+6 4.466836-5 9.364094+6 4.507000-5 9.042683+6 4.507000-5 1.107484+7 4.540000-5 1.080068+7 4.550000-5 1.071701+7 4.570882-5 1.054092+7 4.610000-5 1.022132+7 4.623810-5 1.010854+7 4.677351-5 9.675178+6 4.680000-5 9.653977+6 4.786301-5 8.833991+6 4.850000-5 8.365814+6 4.900000-5 8.015083+6 4.954502-5 7.649611+6 5.011872-5 7.278413+6 5.069907-5 6.922275+6 5.128614-5 6.579999+6 5.188000-5 6.247339+6 5.300000-5 5.669554+6 5.370318-5 5.333501+6 5.400000-5 5.198218+6 5.450000-5 4.978086+6 5.623413-5 4.285384+6 5.650000-5 4.187918+6 5.800000-5 3.683642+6 5.821032-5 3.617827+6 5.956621-5 3.226871+6 6.000000-5 3.111121+6 6.095369-5 2.873692+6 6.237348-5 2.559200+6 6.309573-5 2.413660+6 6.400000-5 2.245912+6 6.580000-5 1.953602+6 6.650000-5 1.851830+6 6.683439-5 1.806367+6 6.760830-5 1.707305+6 6.839116-5 1.613125+6 6.850000-5 1.600581+6 6.918310-5 1.526127+6 6.963000-5 1.479714+6 6.963000-5 1.649392+6 7.000000-5 1.613616+6 7.079458-5 1.541215+6 7.150000-5 1.482759+6 7.161434-5 1.473562+6 7.244360-5 1.409496+6 7.300000-5 1.369603+6 7.328245-5 1.350592+6 7.500000-5 1.243508+6 7.585776-5 1.197958+6 7.673615-5 1.154191+6 7.730000-5 1.127880+6 7.762471-5 1.113708+6 7.765400-5 1.112469+6 7.800000-5 1.098136+6 7.900000-5 1.059068+6 7.943282-5 1.043128+6 8.000000-5 1.023598+6 8.040000-5 1.010702+6 8.110000-5 9.891250+5 8.150000-5 9.774121+5 8.222426-5 9.579327+5 8.230000-5 9.559805+5 8.317638-5 9.346563+5 8.330500-5 9.316301+5 8.413951-5 9.126963+5 8.511380-5 8.937423+5 8.609938-5 8.761391+5 8.610000-5 8.761283+5 8.650000-5 8.694915+5 8.709636-5 8.606193+5 8.810489-5 8.468018+5 8.912509-5 8.337911+5 9.015711-5 8.230815+5 9.120108-5 8.132397+5 9.150000-5 8.106589+5 9.225714-5 8.045390+5 9.230000-5 8.042292+5 9.240200-5 8.035180+5 9.332543-5 7.974688+5 9.350000-5 7.963431+5 9.440609-5 7.910518+5 9.450000-5 7.905292+5 9.500000-5 7.878647+5 9.549926-5 7.853931+5 9.580000-5 7.841156+5 9.660509-5 7.809141+5 9.720000-5 7.787618+5 9.740000-5 7.780845+5 9.850000-5 7.748249+5 9.900000-5 7.735072+5 1.000000-4 7.716259+5 1.011579-4 7.699704+5 1.023293-4 7.684591+5 1.035142-4 7.676618+5 1.040000-4 7.675231+5 1.071519-4 7.673408+5 1.080000-4 7.680126+5 1.083927-4 7.682672+5 1.109175-4 7.699311+5 1.122018-4 7.711178+5 1.135011-4 7.725998+5 1.148154-4 7.739631+5 1.150000-4 7.741430+5 1.160000-4 7.753292+5 1.174898-4 7.769228+5 1.180000-4 7.775008+5 1.190000-4 7.785571+5 1.202264-4 7.797146+5 1.205000-4 7.799700+5 1.216186-4 7.812143+5 1.220000-4 7.816031+5 1.250000-4 7.842987+5 1.260000-4 7.851466+5 1.273503-4 7.860377+5 1.288250-4 7.869409+5 1.300000-4 7.875453+5 1.330000-4 7.886235+5 1.340000-4 7.889170+5 1.350000-4 7.890464+5 1.364583-4 7.890470+5 1.365000-4 7.890478+5 1.380384-4 7.889067+5 1.412538-4 7.882312+5 1.430000-4 7.877119+5 1.462177-4 7.858164+5 1.479108-4 7.846877+5 1.480000-4 7.846187+5 1.520000-4 7.809615+5 1.540000-4 7.789868+5 1.580000-4 7.740932+5 1.603245-4 7.711039+5 1.621810-4 7.684585+5 1.650000-4 7.640926+5 1.659587-4 7.625394+5 1.678804-4 7.594742+5 1.720000-4 7.522573+5 1.737801-4 7.490498+5 1.778279-4 7.414112+5 1.800000-4 7.371030+5 1.820000-4 7.330382+5 1.850000-4 7.267018+5 1.883649-4 7.196190+5 1.905461-4 7.149507+5 1.927525-4 7.100271+5 1.972423-4 6.996812+5 2.007000-4 6.917454+5 2.018366-4 6.890663+5 2.065380-4 6.780439+5 2.089296-4 6.724424+5 2.113489-4 6.665800+5 2.162719-4 6.545756+5 2.187762-4 6.485288+5 2.213095-4 6.424305+5 2.264644-4 6.300339+5 2.317395-4 6.170469+5 2.370000-4 6.042741+5 2.370000-4 7.486605+5 2.377000-4 7.471867+5 2.388000-4 7.458017+5 2.397000-4 7.456997+5 2.398833-4 7.459209+5 2.400000-4 7.460576+5 2.404500-4 7.465810+5 2.404500-4 8.468810+5 2.405500-4 8.469646+5 2.412000-4 8.484250+5 2.418000-4 8.510386+5 2.423000-4 8.540697+5 2.425000-4 8.554736+5 2.431000-4 8.608259+5 2.432000-4 8.619063+5 2.437000-4 8.678610+5 2.440000-4 8.721210+5 2.444000-4 8.783555+5 2.447000-4 8.838172+5 2.451000-4 8.917054+5 2.452600-4 8.952637+5 2.454709-4 9.002570+5 2.457000-4 9.057612+5 2.460000-4 9.137185+5 2.463000-4 9.223123+5 2.467000-4 9.349781+5 2.470000-4 9.452007+5 2.472000-4 9.525878+5 2.477000-4 9.723470+5 2.483133-4 1.000252+6 2.488000-4 1.024649+6 2.490000-4 1.035495+6 2.497000-4 1.076815+6 2.505000-4 1.130201+6 2.512000-4 1.182790+6 2.519000-4 1.241390+6 2.520000-4 1.250009+6 2.530000-4 1.343917+6 2.531000-4 1.353658+6 2.540973-4 1.458445+6 2.550000-4 1.560998+6 2.555000-4 1.620436+6 2.558000-4 1.657360+6 2.565000-4 1.745222+6 2.573000-4 1.848357+6 2.575000-4 1.874313+6 2.582000-4 1.967310+6 2.585000-4 2.007245+6 2.590000-4 2.074758+6 2.593000-4 2.114701+6 2.600160-4 2.212100+6 2.610000-4 2.343443+6 2.612000-4 2.370452+6 2.620000-4 2.475615+6 2.623000-4 2.515139+6 2.630268-4 2.608276+6 2.635000-4 2.668752+6 2.641000-4 2.743556+6 2.645000-4 2.792788+6 2.652000-4 2.876255+6 2.660000-4 2.971549+6 2.660725-4 2.979874+6 2.670000-4 3.085064+6 2.680000-4 3.192920+6 2.685000-4 3.246042+6 2.691535-4 3.312578+6 2.695000-4 3.348467+6 2.700000-4 3.398437+6 2.710000-4 3.493874+6 2.720000-4 3.587420+6 2.725000-4 3.631672+6 2.740000-4 3.761770+6 2.754229-4 3.874067+6 2.760000-4 3.920598+6 2.780000-4 4.065036+6 2.780700-4 4.069899+6 2.800000-4 4.195523+6 2.820000-4 4.310339+6 2.827000-4 4.348545+6 2.843000-4 4.427382+6 2.851018-4 4.464163+6 2.870000-4 4.541571+6 2.880000-4 4.578719+6 2.900000-4 4.642753+6 2.910000-4 4.671035+6 2.917427-4 4.688636+6 2.930000-4 4.718480+6 2.940000-4 4.738840+6 2.951209-4 4.756524+6 2.962700-4 4.774654+6 2.985383-4 4.803450+6 3.000000-4 4.816136+6 3.019952-4 4.828856+6 3.030000-4 4.835252+6 3.054921-4 4.837912+6 3.080000-4 4.840576+6 3.100000-4 4.839018+6 3.126079-4 4.830467+6 3.150000-4 4.822663+6 3.198895-4 4.799980+6 3.235937-4 4.776225+6 3.240000-4 4.773633+6 3.273407-4 4.748874+6 3.311311-4 4.721205+6 3.349654-4 4.687787+6 3.350000-4 4.687487+6 3.388442-4 4.649751+6 3.390000-4 4.648235+6 3.467369-4 4.562539+6 3.500000-4 4.524002+6 3.507519-4 4.514065+6 3.548134-4 4.461020+6 3.550000-4 4.458608+6 3.589219-4 4.404965+6 3.600000-4 4.390413+6 3.630781-4 4.345945+6 3.672823-4 4.286534+6 3.715352-4 4.224756+6 3.758374-4 4.160162+6 3.801894-4 4.096507+6 3.845918-4 4.031404+6 3.850000-4 4.025451+6 3.890451-4 3.967232+6 3.916300-4 3.929016+6 3.916300-4 4.316193+6 3.935501-4 4.291857+6 4.000000-4 4.212525+6 4.027170-4 4.178166+6 4.073803-4 4.118540+6 4.096400-4 4.090299+6 4.096400-4 4.229399+6 4.100000-4 4.227909+6 4.102000-4 4.226858+6 4.108000-4 4.222915+6 4.117000-4 4.215876+6 4.128000-4 4.206052+6 4.139000-4 4.195516+6 4.150000-4 4.184417+6 4.168694-4 4.164871+6 4.190000-4 4.141855+6 4.215000-4 4.114064+6 4.216965-4 4.111811+6 4.240000-4 4.083797+6 4.265795-4 4.051879+6 4.270000-4 4.046725+6 4.280000-4 4.034149+6 4.300000-4 4.007944+6 4.340000-4 3.955288+6 4.350000-4 3.942055+6 4.365158-4 3.921390+6 4.415704-4 3.853848+6 4.450000-4 3.807827+6 4.500000-4 3.742343+6 4.518559-4 3.717597+6 4.623810-4 3.579470+6 4.731513-4 3.443812+6 4.786301-4 3.376179+6 4.850000-4 3.300271+6 4.897788-4 3.244582+6 4.940900-4 3.195590+6 4.940900-4 3.338294+6 4.954502-4 3.322674+6 5.039700-4 3.225930+6 5.069907-4 3.192581+6 5.188000-4 3.064326+6 5.248075-4 3.002251+6 5.308844-4 2.940228+6 5.400000-4 2.851019+6 5.432503-4 2.819446+6 5.559043-4 2.701482+6 5.623413-4 2.643029+6 5.650000-4 2.619473+6 5.754399-4 2.530012+6 5.821032-4 2.473985+6 5.956621-4 2.365912+6 6.000000-4 2.332695+6 6.095369-4 2.261367+6 6.100000-4 2.257989+6 6.165950-4 2.210565+6 6.237348-4 2.160972+6 6.309573-4 2.111785+6 6.350000-4 2.085008+6 6.500000-4 1.989638+6 6.531306-4 1.970597+6 6.760830-4 1.837367+6 6.839116-4 1.794399+6 6.850000-4 1.788546+6 6.918310-4 1.752182+6 7.000000-4 1.710005+6 7.079458-4 1.670082+6 7.300000-4 1.566159+6 7.328245-4 1.553469+6 7.413102-4 1.515781+6 7.498942-4 1.479053+6 7.500000-4 1.478608+6 7.585776-4 1.443113+6 7.673615-4 1.408097+6 7.800000-4 1.359584+6 7.943282-4 1.307601+6 8.035261-4 1.275630+6 8.222426-4 1.213247+6 8.317638-4 1.183286+6 8.413951-4 1.154096+6 8.609938-4 1.097522+6 8.709636-4 1.070287+6 8.810489-4 1.043546+6 9.015711-4 9.914154+5 9.120108-4 9.663984+5 9.225714-4 9.420521+5 9.332543-4 9.182067+5 9.500000-4 8.822647+5 9.772372-4 8.279518+5 1.000000-3 7.858958+5 1.023293-3 7.461090+5 1.035142-3 7.267597+5 1.050000-3 7.034697+5 1.083927-3 6.543039+5 1.100000-3 6.326039+5 1.109175-3 6.206896+5 1.110000-3 6.196347+5 1.122018-3 6.045309+5 1.135011-3 5.886964+5 1.174898-3 5.433536+5 1.202264-3 5.151905+5 1.216186-3 5.015825+5 1.230269-3 4.882601+5 1.244515-3 4.752331+5 1.258925-3 4.625637+5 1.288250-3 4.381338+5 1.318257-3 4.150724+5 1.333521-3 4.040243+5 1.355400-3 3.888247+5 1.364583-3 3.826499+5 1.396368-3 3.622881+5 1.400000-3 3.600615+5 1.412538-3 3.525266+5 1.450000-3 3.312543+5 1.479108-3 3.159739+5 1.496236-3 3.074028+5 1.500000-3 3.055508+5 1.513561-3 2.989840+5 1.548817-3 2.828509+5 1.566751-3 2.751310+5 1.659587-3 2.395623+5 1.678804-3 2.329302+5 1.698244-3 2.264781+5 1.717908-3 2.202128+5 1.757924-3 2.082224+5 1.840772-3 1.861561+5 1.862087-3 1.809719+5 1.905461-3 1.709963+5 1.972423-3 1.570711+5 2.041738-3 1.442831+5 2.070000-3 1.394448+5 2.089296-3 1.362617+5 2.113489-3 1.324156+5 2.187762-3 1.215468+5 2.213095-3 1.181263+5 2.238721-3 1.148038+5 2.264644-3 1.115702+5 2.317395-3 1.053125+5 2.344229-3 1.023094+5 2.426610-3 9.382244+4 2.454709-3 9.115950+4 2.483133-3 8.856827+4 2.511886-3 8.605181+4 2.521000-3 8.526956+4 2.521000-3 3.095495+5 2.540973-3 3.033800+5 2.570396-3 2.945919+5 2.629500-3 2.779881+5 2.629500-3 3.841190+5 2.630268-3 3.838322+5 2.660725-3 3.726846+5 2.665000-3 3.712306+5 2.700000-3 3.599949+5 2.710000-3 3.569553+5 2.720000-3 3.537992+5 2.760000-3 3.407929+5 2.786121-3 3.329737+5 2.800000-3 3.289213+5 2.818383-3 3.236579+5 2.846500-3 3.156109+5 2.846500-3 3.618237+5 2.867000-3 3.556174+5 2.884032-3 3.505770+5 2.900000-3 3.459445+5 2.917427-3 3.408766+5 2.951209-3 3.313508+5 3.000000-3 3.182527+5 3.019952-3 3.131068+5 3.070000-3 3.005755+5 3.126079-3 2.873317+5 3.162278-3 2.791132+5 3.198895-3 2.711195+5 3.235937-3 2.633579+5 3.311311-3 2.484122+5 3.349654-3 2.412693+5 3.427678-3 2.276117+5 3.450000-3 2.239054+5 3.507519-3 2.146659+5 3.548134-3 2.084626+5 3.589219-3 2.024305+5 3.630781-3 1.965770+5 3.650000-3 1.939512+5 3.672823-3 1.908961+5 3.715352-3 1.853793+5 3.900000-3 1.638735+5 3.935501-3 1.601469+5 3.981072-3 1.554961+5 4.000000-3 1.536190+5 4.027170-3 1.509764+5 4.073803-3 1.465692+5 4.168694-3 1.381475+5 4.216965-3 1.341238+5 4.315191-3 1.264328+5 4.415704-3 1.191242+5 4.466836-3 1.156141+5 4.518559-3 1.122083+5 4.570882-3 1.089008+5 4.623810-3 1.056938+5 4.677351-3 1.025579+5 4.786301-3 9.656802+4 4.954502-3 8.824827+4 5.011872-3 8.564099+4 5.069907-3 8.311074+4 5.128614-3 8.061779+4 5.248075-3 7.585296+4 5.300000-3 7.389066+4 5.370318-3 7.134467+4 5.432503-3 6.919471+4 5.559043-3 6.509221+4 5.688529-3 6.123894+4 5.754399-3 5.939992+4 5.821032-3 5.761775+4 5.956621-3 5.419728+4 6.000000-3 5.315571+4 6.025596-3 5.255366+4 6.165950-3 4.941643+4 6.237348-3 4.791600+4 6.500000-3 4.291324+4 6.531306-3 4.236613+4 6.606934-3 4.107218+4 6.683439-3 3.981722+4 6.839116-3 3.741555+4 7.000000-3 3.513078+4 7.079458-3 3.407387+4 7.110160-3 3.367700+4 7.413102-3 3.008548+4 7.498942-3 2.916511+4 7.500000-3 2.915401+4 7.673615-3 2.740818+4 7.762471-3 2.656478+4 7.852356-3 2.574800+4 7.943282-3 2.495089+4 8.000000-3 2.447095+4 8.035261-3 2.417902+4 8.222426-3 2.270781+4 8.317638-3 2.200391+4 8.413951-3 2.132176+4 8.511380-3 2.066098+4 8.810489-3 1.880020+4 9.000000-3 1.774045+4 9.120108-3 1.710777+4 9.225714-3 1.657417+4 9.549926-3 1.507361+4 9.660509-3 1.460484+4 9.772372-3 1.415064+4 9.800000-3 1.404110+4 1.011579-2 1.286776+4 1.023293-2 1.246478+4 1.035142-2 1.207477+4 1.047129-2 1.169529+4 1.059254-2 1.132806+4 1.083927-2 1.062868+4 1.096478-2 1.029564+4 1.122018-2 9.660762+3 1.150000-2 9.024423+3 1.161449-2 8.780580+3 1.174898-2 8.505695+3 1.202264-2 7.978157+3 1.216186-2 7.725699+3 1.244515-2 7.244967+3 1.258925-2 7.016139+3 1.288250-2 6.580100+3 1.348963-2 5.787669+3 1.364583-2 5.605125+3 1.380384-2 5.428480+3 1.396368-2 5.256194+3 1.412538-2 5.089483+3 1.428894-2 4.927396+3 1.445440-2 4.770495+3 1.479108-2 4.471672+3 1.500000-2 4.299106+3 1.513561-2 4.191981+3 1.584893-2 3.683970+3 1.603245-2 3.567012+3 1.621810-2 3.452991+3 1.640590-2 3.342699+3 1.659587-2 3.236006+3 1.678804-2 3.132676+3 1.717908-2 2.935148+3 1.737801-2 2.841223+3 1.778279-2 2.662493+3 1.800000-2 2.572936+3 1.840772-2 2.415379+3 1.862087-2 2.337726+3 1.883649-2 2.262506+3 1.927525-2 2.119408+3 1.949845-2 2.051293+3 1.996500-2 1.918334+3 1.996500-2 1.271023+4 2.000000-2 1.266984+4 2.015000-2 1.249887+4 2.018366-2 1.244736+4 2.045000-2 1.205019+4 2.080000-2 1.149364+4 2.089296-2 1.136555+4 2.113489-2 1.104146+4 2.114100-2 1.103345+4 2.150000-2 1.057592+4 2.162719-2 1.041225+4 2.187762-2 1.010001+4 2.222500-2 9.687848+3 2.238721-2 9.503335+3 2.264644-2 9.218359+3 2.317395-2 8.673879+3 2.344229-2 8.417482+3 2.373000-2 8.154130+3 2.426610-2 7.692896+3 2.454709-2 7.465257+3 2.456200-2 7.453441+3 2.511886-2 7.030072+3 2.540973-2 6.822130+3 2.570396-2 6.614775+3 2.600160-2 6.413704+3 2.630268-2 6.218725+3 2.660725-2 6.029672+3 2.691535-2 5.846388+3 2.722701-2 5.668702+3 2.754229-2 5.496432+3 2.818383-2 5.167504+3 2.884032-2 4.857854+3 2.917427-2 4.710091+3 2.951209-2 4.566838+3 2.985383-2 4.427951+3 3.019952-2 4.293307+3 3.090295-2 4.030926+3 3.126079-2 3.905822+3 3.162278-2 3.784606+3 3.273407-2 3.443078+3 3.311311-2 3.336127+3 3.349654-2 3.232509+3 3.427678-2 3.034793+3 3.481550-2 2.907826+3 3.507519-2 2.849208+3 3.548134-2 2.760728+3 3.589219-2 2.674987+3 3.672823-2 2.511432+3 3.758374-2 2.357901+3 3.801894-2 2.284700+3 3.845918-2 2.213693+3 3.935501-2 2.075675+3 4.073803-2 1.884625+3 4.216965-2 1.711160+3 4.315191-2 1.604481+3 4.415704-2 1.504470+3 4.466836-2 1.456828+3 4.500000-2 1.427020+3 4.623810-2 1.322663+3 4.800000-2 1.191285+3 4.954502-2 1.088699+3 5.011872-2 1.053653+3 5.069907-2 1.019731+3 5.128614-2 9.869010+2 5.188000-2 9.551232+2 5.300000-2 8.988600+2 5.308844-2 8.946053+2 5.432503-2 8.378679+2 6.000000-2 6.315739+2 6.025596-2 6.239741+2 6.165950-2 5.839076+2 6.237348-2 5.648513+2 6.309573-2 5.464181+2 6.456542-2 5.113381+2 6.918310-2 4.189726+2 7.000000-2 4.050282+2 7.079458-2 3.920586+2 7.244360-2 3.668755+2 7.328245-2 3.548983+2 7.413102-2 3.433103+2 7.498942-2 3.321013+2 7.500000-2 3.319662+2 7.673615-2 3.105581+2 7.943282-2 2.808358+2 8.511380-2 2.295939+2 8.609938-2 2.220140+2 8.912509-2 2.007447+2 9.120108-2 1.877109+2 9.332543-2 1.755222+2 9.549926-2 1.641258+2 9.660509-2 1.586641+2 9.772372-2 1.533844+2 9.885531-2 1.482807+2 1.035142-1 1.294952+2 1.096478-1 1.093264+2 1.122019-1 1.021674+2 1.148154-1 9.547779+1 1.188502-1 8.625633+1 1.202264-1 8.338507+1 1.216186-1 8.060930+1 1.230269-1 7.792635+1 1.244515-1 7.533283+1 1.273503-1 7.040258+1 1.288250-1 6.805979+1 1.333521-1 6.148954+1 1.380384-1 5.555385+1 1.412538-1 5.191873+1 1.445440-1 4.852172+1 1.462177-1 4.690761+1 1.500000-1 4.351663+1 1.513561-1 4.238111+1 1.531088-1 4.097162+1 1.548817-1 3.960912+1 1.566751-1 3.829197+1 1.621810-1 3.459760+1 1.640590-1 3.344715+1 1.717908-1 2.921567+1 1.737801-1 2.824439+1 1.757924-1 2.730544+1 1.778279-1 2.639776+1 1.819701-1 2.467207+1 1.840772-1 2.385204+1 1.927525-1 2.083565+1 1.949845-1 2.014951+1 1.972423-1 1.948599+1 2.018366-1 1.822398+1 2.041738-1 1.762397+1 2.065380-1 1.704375+1 2.089296-1 1.648269+1 2.137962-1 1.541539+1 2.162719-1 1.490796+1 2.187762-1 1.441725+1 2.213095-1 1.394277+1 2.238721-1 1.348392+1 2.317395-1 1.219737+1 2.371374-1 1.140867+1 2.454709-1 1.033371+1 2.483133-1 9.998391+0 2.511886-1 9.673961+0 2.570396-1 9.056423+0 2.600160-1 8.762602+0 2.630268-1 8.478342+0 2.660725-1 8.203374+0 2.691535-1 7.937325+0 2.710800-1 7.777103+0 2.754229-1 7.431595+0 2.800000-1 7.089510+0 2.818383-1 6.960466+0 2.851018-1 6.739144+0 2.884032-1 6.524855+0 2.951209-1 6.116530+0 2.985383-1 5.922050+0 3.054921-1 5.551465+0 3.090295-1 5.374992+0 3.126079-1 5.204176+0 3.198895-1 4.879221+0 3.273407-1 4.574570+0 3.349654-1 4.293690+0 3.388442-1 4.159786+0 3.427678-1 4.030062+0 3.467369-1 3.904396+0 3.507519-1 3.782669+0 3.548134-1 3.664745+0 3.589219-1 3.550538+0 3.630781-1 3.440087+0 3.672823-1 3.333077+0 3.715352-1 3.229396+0 3.758374-1 3.130836+0 3.801894-1 3.035286+0 3.845918-1 2.942678+0 3.890451-1 2.852896+0 4.000000-1 2.647457+0 4.027170-1 2.599665+0 4.073803-1 2.520384+0 4.120975-1 2.443677+0 4.168694-1 2.369304+0 4.216965-1 2.298661+0 4.265795-1 2.230133+0 4.315191-1 2.163649+0 4.365158-1 2.099148+0 4.466836-1 1.975857+0 4.518559-1 1.916956+0 4.570882-1 1.859836+0 4.623810-1 1.804544+0 4.677351-1 1.752063+0 4.786301-1 1.651650+0 4.897788-1 1.556994+0 5.011872-1 1.467763+0 5.069907-1 1.425091+0 5.128614-1 1.383775+0 5.188000-1 1.344585+0 5.248075-1 1.306509+0 5.370318-1 1.233562+0 5.495409-1 1.164689+0 5.559043-1 1.131714+0 5.623413-1 1.099672+0 5.688529-1 1.068633+0 5.754399-1 1.039206+0 5.888437-1 9.827671-1 5.956621-1 9.557085-1 6.025596-1 9.293945-1 6.095369-1 9.038097-1 6.165950-1 8.789300-1 6.237348-1 8.547353-1 6.309573-1 8.319025-1 6.382635-1 8.096828-1 6.456542-1 7.880569-1 6.531306-1 7.670084-1 6.606935-1 7.465223-1 6.839117-1 6.883003-1 6.918310-1 6.699781-1 6.998420-1 6.526613-1 7.079458-1 6.357921-1 7.161434-1 6.193589-1 7.498942-1 5.577769-1 7.585776-1 5.433648-1 7.673615-1 5.293648-1 7.762471-1 5.161213-1 7.852356-1 5.032114-1 8.035261-1 4.783527-1 8.128305-1 4.663877-1 8.317638-1 4.433482-1 8.413951-1 4.322600-1 8.511380-1 4.214786-1 8.609938-1 4.112953-1 9.015711-1 3.729672-1 9.120108-1 3.639568-1 9.197300-1 3.574990-1 9.225714-1 3.551646-1 9.332543-1 3.465863-1 9.440609-1 3.385056-1 9.549926-1 3.306449-1 9.660509-1 3.229667-1 9.772372-1 3.154669-1 9.885531-1 3.081435-1 1.000000+0 3.009903-1 1.011579+0 2.940051-1 1.022000+0 2.879231-1 1.023293+0 2.871818-1 1.035142+0 2.806833-1 1.047129+0 2.743314-1 1.059254+0 2.681239-1 1.071519+0 2.620581-1 1.083927+0 2.561302-1 1.096478+0 2.503370-1 1.122018+0 2.391404-1 1.135011+0 2.337313-1 1.148154+0 2.284447-1 1.161449+0 2.232786-1 1.174898+0 2.184434-1 1.188600+0 2.136799-1 1.202264+0 2.090857-1 1.216186+0 2.045581-1 1.244515+0 1.957966-1 1.273503+0 1.874106-1 1.288250+0 1.833538-1 1.333521+0 1.720206-1 1.348963+0 1.684011-1 1.380384+0 1.613894-1 1.412538+0 1.546694-1 1.428894+0 1.514158-1 1.462177+0 1.451320-1 1.496236+0 1.393103-1 1.513561+0 1.364879-1 1.603245+0 1.232106-1 1.621810+0 1.207222-1 1.640590+0 1.183626-1 1.678804+0 1.137819-1 1.737801+0 1.072410-1 1.798871+0 1.010770-1 1.819701+0 9.910845-2 1.840772+0 9.723836-2 1.862087+0 9.540356-2 1.905461+0 9.183782-2 1.949845+0 8.840538-2 2.018366+0 8.349658-2 2.044000+0 8.177171-2 2.065380+0 8.038107-2 2.089296+0 7.891996-2 2.137962+0 7.607752-2 2.187762+0 7.333744-2 2.290868+0 6.815062-2 2.317395+0 6.691228-2 2.344229+0 6.570047-2 2.371374+0 6.454965-2 2.426610+0 6.230861-2 2.483133+0 6.014536-2 2.600160+0 5.604219-2 2.630268+0 5.506092-2 2.660725+0 5.409995-2 2.691535+0 5.318581-2 2.754229+0 5.140396-2 2.786121+0 5.053556-2 2.851018+0 4.884251-2 2.985383+0 4.562513-2 3.019952+0 4.485447-2 3.054921+0 4.409924-2 3.090295+0 4.337980-2 3.162278+0 4.197620-2 3.198895+0 4.129153-2 3.273407+0 3.995551-2 3.311311+0 3.930388-2 3.467369+0 3.680196-2 3.507519+0 3.620178-2 3.548134+0 3.561329-2 3.589219+0 3.505264-2 3.672823+0 3.395787-2 3.715352+0 3.342338-2 3.801894+0 3.237950-2 3.845918+0 3.186991-2 4.073803+0 2.943983-2 4.120975+0 2.897653-2 4.168694+0 2.852189-2 4.216965+0 2.808778-2 4.315191+0 2.723943-2 4.365158+0 2.682491-2 4.466836+0 2.601471-2 4.518559+0 2.561888-2 4.786301+0 2.372830-2 4.841724+0 2.336726-2 4.897788+0 2.301284-2 4.954502+0 2.267462-2 5.069907+0 2.201316-2 5.128614+0 2.168970-2 5.248075+0 2.105697-2 5.308844+0 2.074761-2 5.688529+0 1.898457-2 5.754399+0 1.870565-2 5.821032+0 1.843158-2 5.888437+0 1.816870-2 5.956621+0 1.790959-2 6.095369+0 1.740245-2 6.237348+0 1.690968-2 6.382635+0 1.643086-2 6.456542+0 1.619658-2 6.918310+0 1.485945-2 7.000000+0 1.464347-2 7.079458+0 1.443938-2 7.161434+0 1.424039-2 7.328245+0 1.385065-2 7.498942+0 1.347158-2 7.585776+0 1.328595-2 7.762471+0 1.292238-2 8.511380+0 1.156492-2 8.609938+0 1.140558-2 8.709636+0 1.124884-2 8.810489+0 1.109808-2 9.120108+0 1.065786-2 9.332543+0 1.037413-2 9.549926+0 1.009795-2 9.772372+0 9.829147-3 1.059254+1 8.943474-3 1.071519+1 8.823645-3 1.083927+1 8.705714-3 1.100000+1 8.560960-3 1.135011+1 8.260837-3 1.161449+1 8.047005-3 1.202264+1 7.736599-3 1.230269+1 7.536352-3 1.244515+1 7.438184-3 1.364583+1 6.697513-3 1.380384+1 6.610273-3 1.396368+1 6.524379-3 1.400000+1 6.505162-3 1.412538+1 6.441199-3 1.445440+1 6.278928-3 1.500000+1 6.026349-3 1.531087+1 5.890909-3 1.584893+1 5.669721-3 1.603245+1 5.597855-3 1.800000+1 4.924008-3 1.819701+1 4.864975-3 1.862087+1 4.742686-3 1.883649+1 4.683965-3 1.905461+1 4.625977-3 1.972423+1 4.456289-3 2.041738+1 4.292825-3 2.113489+1 4.135369-3 2.137962+1 4.084179-3 2.454709+1 3.517145-3 2.483133+1 3.473608-3 2.540973+1 3.388290-3 2.570396+1 3.347126-3 2.600160+1 3.306466-3 2.754229+1 3.110460-3 2.917427+1 2.926074-3 3.054921+1 2.786476-3 3.090295+1 2.752631-3 3.388442+1 2.496254-3 3.427678+1 2.465934-3 3.507519+1 2.406494-3 3.548134+1 2.377794-3 3.589219+1 2.349439-3 3.935501+1 2.134439-3 4.265795+1 1.962518-3 4.677351+1 1.782935-3 4.786301+1 1.740669-3 5.495409+1 1.507300-3 5.559043+1 1.489327-3 5.623413+1 1.471568-3 5.754399+1 1.436733-3 5.821032+1 1.419869-3 5.888437+1 1.403205-3 5.956621+1 1.386737-3 6.456542+1 1.276746-3 6.918310+1 1.189439-3 7.413102+1 1.108107-3 7.498942+1 1.095103-3 8.810489+1 9.282840-4 9.015711+1 9.066245-4 9.332543+1 8.751105-4 9.549926+1 8.549033-4 9.660509+1 8.449758-4 9.772372+1 8.351640-4 1.122018+2 7.259409-4 1.364583+2 5.952066-4 1.479108+2 5.484803-4 1.496236+2 5.421113-4 1.757924+2 4.603364-4 1.798871+2 4.497081-4 1.862087+2 4.342333-4 1.905461+2 4.242734-4 1.927525+2 4.193797-4 1.949845+2 4.145424-4 2.238721+2 3.606689-4 2.722701+2 2.961123-4 2.951209+2 2.730163-4 2.985383+2 2.698673-4 3.507519+2 2.294114-4 3.589219+2 2.241499-4 3.715352+2 2.164865-4 3.801894+2 2.115452-4 3.845918+2 2.091171-4 3.890451+2 2.067170-4 4.466836+2 1.799757-4 1.083927+3 7.398983-5 1.174898+3 6.824607-5 1.188502+3 6.746281-5 1.396368+3 5.739527-5 1.428894+3 5.608530-5 1.479108+3 5.417667-5 2.951209+3 2.714681-5 3.019952+3 2.652870-5 3.054921+3 2.622495-5 3.090295+3 2.592467-5 3.548134+3 2.257861-5 1.000000+5 8.004022-7 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.970000-6 5.970000-6 6.770000-6 5.970000-6 6.770000-6 6.694742-6 7.000000-6 6.710037-6 7.000000-6 6.813182-6 8.600000-6 6.848415-6 1.935000-5 6.860509-6 4.246000-5 6.861042-6 4.246000-5 9.449972-6 4.365158-5 9.527314-6 4.507000-5 9.584756-6 4.507000-5 1.035272-5 4.786301-5 1.048731-5 5.450000-5 1.074568-5 6.000000-5 1.101918-5 6.580000-5 1.138528-5 6.963000-5 1.166069-5 6.963000-5 1.255963-5 7.500000-5 1.327520-5 7.900000-5 1.372995-5 8.230000-5 1.402013-5 8.511380-5 1.420076-5 8.810489-5 1.432722-5 9.240200-5 1.440007-5 9.740000-5 1.436654-5 1.040000-4 1.420738-5 1.260000-4 1.349554-5 1.380384-4 1.318554-5 1.520000-4 1.291669-5 1.678804-4 1.270235-5 1.883649-4 1.252677-5 2.162719-4 1.240338-5 2.370000-4 1.236038-5 2.370000-4 1.472303-5 2.397000-4 1.478524-5 2.404500-4 1.482533-5 2.404500-4 1.596961-5 2.425000-4 1.612419-5 2.440000-4 1.633384-5 2.454709-4 1.663683-5 2.470000-4 1.706232-5 2.488000-4 1.769630-5 2.531000-4 1.945830-5 2.555000-4 2.034129-5 2.575000-4 2.094319-5 2.593000-4 2.137797-5 2.620000-4 2.187202-5 2.652000-4 2.227644-5 2.695000-4 2.263245-5 2.760000-4 2.295762-5 2.851018-4 2.320485-5 3.000000-4 2.337921-5 3.390000-4 2.351874-5 3.916300-4 2.356284-5 3.916300-4 2.491738-5 4.096400-4 2.509622-5 4.096400-4 2.555001-5 4.190000-4 2.574581-5 4.415704-4 2.595226-5 4.940900-4 2.625081-5 4.940900-4 2.730805-5 7.079458-4 2.868049-5 9.332543-4 2.984096-5 1.202264-3 3.093146-5 1.513561-3 3.193916-5 1.905461-3 3.294336-5 2.344229-3 3.382515-5 2.521000-3 3.413089-5 2.521000-3 5.088226-5 2.629500-3 5.092240-5 2.629500-3 5.322660-5 2.846500-3 5.331426-5 2.846500-3 5.644661-5 3.981072-3 5.759318-5 5.559043-3 5.883953-5 8.035261-3 6.031624-5 1.122018-2 6.171775-5 1.513561-2 6.298159-5 1.996500-2 6.414690-5 1.996500-2 6.875065-5 3.935501-2 6.918770-5 9.885531-2 6.950148-5 4.623810-1 6.969361-5 1.000000+5 6.972156-5 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.970000-6 0.0 4.246000-5 0.0 4.246000-5 1.14902-10 4.315191-5 1.17007-10 4.365158-5 1.18342-10 4.507000-5 1.20903-10 4.507000-5 1.65992-10 4.610000-5 1.69032-10 4.680000-5 1.70800-10 5.069907-5 1.78365-10 5.450000-5 1.85714-10 5.821032-5 1.94242-10 6.095369-5 2.01459-10 6.400000-5 2.10538-10 6.963000-5 2.29332-10 6.963000-5 2.42381-10 7.328245-5 2.56922-10 7.673615-5 2.68939-10 7.943282-5 2.76454-10 8.230000-5 2.82406-10 8.511380-5 2.86070-10 8.810489-5 2.87749-10 9.150000-5 2.87224-10 9.500000-5 2.84766-10 1.000000-4 2.78926-10 1.160000-4 2.56184-10 1.220000-4 2.48719-10 1.300000-4 2.40306-10 1.380384-4 2.33454-10 1.480000-4 2.26850-10 1.580000-4 2.21812-10 1.720000-4 2.16757-10 1.850000-4 2.13715-10 2.018366-4 2.11251-10 2.213095-4 2.09860-10 2.370000-4 2.09542-10 2.370000-4 2.45276-10 2.398833-4 2.46400-10 2.404500-4 2.46870-10 2.404500-4 8.883017-9 2.412000-4 8.845388-9 2.425000-4 8.823952-9 2.432000-4 8.827875-9 2.440000-4 8.862340-9 2.447000-4 8.923040-9 2.454709-4 9.033965-9 2.460000-4 9.123620-9 2.467000-4 9.284169-9 2.472000-4 9.424673-9 2.477000-4 9.588102-9 2.483133-4 9.815200-9 2.490000-4 1.011566-8 2.497000-4 1.046364-8 2.505000-4 1.091880-8 2.512000-4 1.135995-8 2.520000-4 1.190463-8 2.531000-4 1.272002-8 2.540973-4 1.349926-8 2.575000-4 1.629751-8 2.593000-4 1.769184-8 2.610000-4 1.887982-8 2.620000-4 1.951018-8 2.630268-4 2.010524-8 2.641000-4 2.066173-8 2.652000-4 2.118428-8 2.670000-4 2.190177-8 2.680000-4 2.226037-8 2.695000-4 2.272257-8 2.710000-4 2.313136-8 2.740000-4 2.378089-8 2.780700-4 2.446954-8 2.820000-4 2.499686-8 2.870000-4 2.550291-8 2.930000-4 2.593953-8 2.962700-4 2.612198-8 3.054921-4 2.643264-8 3.150000-4 2.662963-8 3.467369-4 2.696885-8 3.801894-4 2.713566-8 3.916300-4 2.713835-8 3.916300-4 2.952236-8 4.073803-4 2.982851-8 4.096400-4 2.986083-8 4.096400-4 3.188807-8 4.128000-4 3.222415-8 4.190000-4 3.260925-8 4.280000-4 3.292439-8 4.415704-4 3.321538-8 4.940900-4 3.401893-8 4.940900-4 3.629019-8 6.350000-4 3.863614-8 7.300000-4 4.005020-8 8.810489-4 4.199620-8 1.023293-3 4.357164-8 1.174898-3 4.501419-8 1.400000-3 4.685240-8 1.659587-3 4.861328-8 1.972423-3 5.037456-8 2.344229-3 5.206313-8 2.521000-3 5.276420-8 2.521000-3 6.055536-5 2.629500-3 6.052750-5 2.629500-3 7.045167-5 2.846500-3 7.054538-5 2.846500-3 7.248785-5 4.315191-3 7.275426-5 1.122018-2 7.246706-5 1.996500-2 7.210722-5 1.996500-2 1.161599-2 2.045000-2 1.164615-2 2.754229-2 1.177235-2 4.073803-2 1.188240-2 6.456542-2 1.195597-2 1.333521-1 1.200696-2 1.513561+0 1.203752-2 1.000000+5 1.203783-2 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.970000-6 0.0 6.770000-6 8.000000-7 6.770000-6 7.525767-8 6.850000-6 1.495992-7 7.000000-6 2.899632-7 7.000000-6 1.868179-7 7.161434-6 3.417454-7 7.413102-6 5.850043-7 7.852356-6 1.013936-6 8.810489-6 1.960241-6 1.305000-5 6.190749-6 4.246000-5 3.559896-5 4.246000-5 3.300991-5 4.507000-5 3.548512-5 4.507000-5 3.471711-5 6.095369-5 4.988117-5 6.963000-5 5.796908-5 6.963000-5 5.707013-5 8.000000-5 6.617416-5 8.810489-5 7.377738-5 9.900000-5 8.466221-5 1.480000-4 1.350153-4 2.317395-4 2.193721-4 2.370000-4 2.246394-4 2.370000-4 2.222767-4 2.404500-4 2.256244-4 2.404500-4 2.244715-4 2.467000-4 2.297200-4 2.585000-4 2.372863-4 2.695000-4 2.468448-4 3.080000-4 2.845500-4 3.916300-4 3.680400-4 3.916300-4 3.666831-4 4.096400-4 3.845139-4 4.096400-4 3.840581-4 4.940900-4 4.678052-4 4.940900-4 4.667456-4 2.113489-3 2.080052-3 2.521000-3 2.486816-3 2.521000-3 2.409562-3 2.629500-3 2.518050-3 2.629500-3 2.505822-3 2.846500-3 2.722640-3 2.846500-3 2.717566-3 1.996500-2 1.982875-2 1.996500-2 8.280254-3 2.045000-2 8.735077-3 2.818383-2 1.633476-2 5.069907-2 3.870645-2 1.000000+5 9.999999+4 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.996500-2 1.079190+4 2.015000-2 1.063013+4 2.045000-2 1.025820+4 2.080000-2 9.785800+3 2.150000-2 9.021300+3 2.317395-2 7.418305+3 2.540973-2 5.856898+3 3.019952-2 3.705216+3 3.845918-2 1.921104+3 4.800000-2 1.037792+3 6.025596-2 5.451295+2 7.500000-2 2.905580+2 9.549926-2 1.438760+2 1.927525-1 1.829759+1 2.371374-1 1.002122+1 2.800000-1 6.228140+0 3.273407-1 4.019416+0 3.715352-1 2.837747+0 4.168694-1 2.082202+0 4.623810-1 1.586090+0 5.128614-1 1.216442+0 5.688529-1 9.395400-1 6.237348-1 7.516253-1 6.918310-1 5.892170-1 7.673615-1 4.655863-1 8.511380-1 3.707360-1 9.332543-1 3.049442-1 1.023293+0 2.527509-1 1.161449+0 1.965170-1 1.288250+0 1.613971-1 1.462177+0 1.277270-1 1.621810+0 1.062407-1 1.819701+0 8.722065-2 2.065380+0 7.074051-2 2.344229+0 5.782066-2 2.660725+0 4.761175-2 3.054921+0 3.881079-2 3.548134+0 3.134259-2 4.168694+0 2.510160-2 4.897788+0 2.025307-2 5.821032+0 1.622132-2 7.079458+0 1.270787-2 8.709636+0 9.899949-3 1.083927+1 7.661789-3 1.400000+1 5.725100-3 1.862087+1 4.173947-3 2.540973+1 2.981989-3 3.507519+1 2.117916-3 5.754399+1 1.264446-3 9.332543+1 7.701771-4 1.862087+2 3.821667-4 3.715352+2 1.905286-4 1.479108+3 4.767982-5 1.000000+5 7.044400-7 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.996500-2 6.956900-5 1.000000+5 6.956900-5 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.996500-2 1.366800-2 1.000000+5 1.366800-2 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.996500-2 6.227431-3 1.000000+5 9.999999+4 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.846500-3 4.621278+4 3.070000-3 4.106420+4 3.450000-3 3.400140+4 4.623810-3 2.031494+4 5.069907-3 1.709456+4 5.956621-3 1.257436+4 6.683439-3 1.000084+4 7.673615-3 7.555264+3 9.000000-3 5.403040+3 1.011579-2 4.198665+3 1.174898-2 3.016466+3 1.380384-2 2.091886+3 1.603245-2 1.476238+3 1.840772-2 1.062560+3 2.114100-2 7.593068+2 2.426610-2 5.399215+2 2.818383-2 3.702918+2 3.273407-2 2.522141+2 3.801894-2 1.706628+2 4.500000-2 1.091020+2 5.300000-2 7.013840+1 6.456542-2 4.081546+1 7.943282-2 2.293837+1 9.885531-2 1.234332+1 2.238721-1 1.188344+0 2.691535-1 7.054483-1 3.126079-1 4.650028-1 3.589219-1 3.187404-1 4.073803-1 2.270790-1 4.570882-1 1.680116-1 5.069907-1 1.289376-1 5.623413-1 9.962723-2 6.237348-1 7.753480-2 6.839117-1 6.247134-2 7.585776-1 4.939636-2 8.413951-1 3.934639-2 9.440609-1 3.077957-2 1.023293+0 2.609963-2 1.161449+0 2.029757-2 1.288250+0 1.664569-2 1.428894+0 1.374633-2 1.603245+0 1.119576-2 1.798871+0 9.184176-3 2.044000+0 7.429709-3 2.317395+0 6.079369-3 2.630268+0 5.002533-3 3.019952+0 4.075065-3 3.507519+0 3.288875-3 4.120975+0 2.632557-3 4.841724+0 2.123044-3 5.754399+0 1.699526-3 7.000000+0 1.330400-3 8.609938+0 1.036291-3 1.071519+1 8.016905-4 1.380384+1 6.005783-4 1.819701+1 4.419739-4 2.483133+1 3.155822-4 3.427678+1 2.240434-4 5.623413+1 1.337063-4 9.015711+1 8.236944-5 1.798871+2 4.086099-5 3.589219+2 2.036768-5 1.428894+3 5.096264-6 1.000000+5 7.273400-8 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.846500-3 7.783900-5 1.000000+5 7.783900-5 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.846500-3 8.575400-5 1.000000+5 8.575400-5 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.846500-3 2.682907-3 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.629500-3 1.061309+5 2.665000-3 1.025268+5 2.700000-3 9.950800+4 2.720000-3 9.800000+4 2.760000-3 9.431000+4 2.818383-3 8.994200+4 3.019952-3 7.567300+4 3.235937-3 6.316100+4 4.027170-3 3.506200+4 4.415704-3 2.723800+4 5.248075-3 1.678100+4 6.165950-3 1.052600+4 6.839116-3 7.768200+3 8.222426-3 4.476600+3 9.772372-3 2.641100+3 1.122018-2 1.719300+3 1.288250-2 1.112900+3 1.513561-2 6.651100+2 1.800000-2 3.792300+2 2.162719-2 2.074000+2 2.600160-2 1.123100+2 3.162278-2 5.807900+1 3.935501-2 2.757300+1 5.069907-2 1.154100+1 9.772372-2 1.189944+0 1.244515-1 5.175772-1 1.500000-1 2.739471-1 1.778279-1 1.545281-1 2.065380-1 9.405971-2 2.371374-1 5.991647-2 2.691535-1 3.990881-2 3.054921-1 2.678469-2 3.427678-1 1.877689-2 3.801894-1 1.372884-2 4.216965-1 1.010484-2 4.677351-1 7.489639-3 5.188000-1 5.592267-3 5.754399-1 4.208099-3 6.309573-1 3.290926-3 6.839117-1 2.670372-3 7.498942-1 2.118485-3 8.317638-1 1.644694-3 9.440609-1 1.214822-3 1.000000+0 1.065800-3 1.071519+0 9.193847-4 1.148154+0 7.990932-4 1.216186+0 7.152299-4 1.333521+0 6.039735-4 1.496236+0 4.931684-4 1.737801+0 3.800036-4 1.949845+0 3.129657-4 2.187762+0 2.596164-4 2.483133+0 2.129334-4 2.851018+0 1.728929-4 3.273407+0 1.414207-4 3.801894+0 1.146091-4 4.466836+0 9.208349-5 5.248075+0 7.453408-5 6.382635+0 5.815430-5 7.585776+0 4.702670-5 9.549926+0 3.574253-5 1.202264+1 2.738298-5 1.531087+1 2.085281-5 2.041738+1 1.519663-5 2.917427+1 1.035672-5 4.265795+1 6.946353-6 6.918310+1 4.210017-6 1.364583+2 2.107185-6 2.722701+2 1.048798-6 1.083927+3 2.620418-7 1.000000+5 2.835600-9 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.629500-3 5.926200-5 1.000000+5 5.926200-5 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.629500-3 9.644600-5 1.000000+5 9.644600-5 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.629500-3 2.473792-3 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 2.521000-3 2.242799+5 2.660725-3 1.953194+5 2.710000-3 1.871712+5 2.900000-3 1.575008+5 3.126079-3 1.289151+5 3.935501-3 6.860442+4 4.315191-3 5.304092+4 5.069907-3 3.349665+4 5.821032-3 2.232630+4 6.531306-3 1.586567+4 7.852356-3 9.070766+3 9.120108-3 5.707210+3 1.035142-2 3.834013+3 1.202264-2 2.379323+3 1.412538-2 1.411838+3 1.678804-2 7.999486+2 2.000000-2 4.458040+2 2.373000-2 2.498287+2 2.818383-2 1.385290+2 3.349654-2 7.613162+1 4.073803-2 3.834639+1 5.128614-2 1.697267+1 1.216186-1 7.735921-1 1.462177-1 4.028971-1 1.717908-1 2.292382-1 1.972423-1 1.422550-1 2.238721-1 9.248756-2 2.511886-1 6.294947-2 2.818383-1 4.315806-2 3.126079-1 3.094536-2 3.467369-1 2.235502-2 3.801894-1 1.685788-2 4.168694-1 1.279927-2 4.570882-1 9.791171-3 5.011872-1 7.546268-3 5.495409-1 5.860120-3 6.025596-1 4.585651-3 6.606935-1 3.616510-3 7.161434-1 2.957341-3 7.762471-1 2.433247-3 8.413951-1 2.014691-3 9.197300-1 1.647874-3 9.772372-1 1.442936-3 1.059254+0 1.220634-3 1.161449+0 1.015493-3 1.273503+0 8.520811-4 1.412538+0 7.047384-4 1.640590+0 5.408426-4 1.862087+0 4.356868-4 2.089296+0 3.604445-4 2.371374+0 2.948220-4 2.691535+0 2.429081-4 3.090295+0 1.981088-4 3.589219+0 1.600787-4 4.216965+0 1.282752-4 4.954502+0 1.035575-4 5.956621+0 8.178440-5 7.161434+0 6.503715-5 8.810489+0 5.068933-5 1.100000+1 3.910000-5 1.412538+1 2.942034-5 1.883649+1 2.139428-5 2.570396+1 1.528921-5 3.548134+1 1.086146-5 5.821032+1 6.485671-6 9.549926+1 3.905034-6 1.905461+2 1.938090-6 3.801894+2 9.663127-7 3.019952+3 1.211637-7 1.000000+5 3.656400-9 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 2.521000-3 5.725100-5 1.000000+5 5.725100-5 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.521000-3 8.355800-5 1.000000+5 8.355800-5 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.521000-3 2.380191-3 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 4.940900-4 1.427038+5 5.650000-4 1.236956+5 6.918310-4 9.808422+4 7.413102-4 8.965511+4 8.609938-4 7.353174+4 9.332543-4 6.559244+4 1.110000-3 5.072520+4 1.230269-3 4.323364+4 1.450000-3 3.320300+4 1.678804-3 2.599274+4 1.905461-3 2.091813+4 2.238721-3 1.573771+4 2.660725-3 1.149599+4 3.126079-3 8.504609+3 3.672823-3 6.245011+3 4.315191-3 4.551048+3 5.069907-3 3.291709+3 6.000000-3 2.327180+3 7.079458-3 1.641810+3 8.317638-3 1.159698+3 9.800000-3 8.079300+2 1.150000-2 5.635520+2 1.348963-2 3.905266+2 1.584893-2 2.675342+2 1.862087-2 1.818313+2 2.187762-2 1.226124+2 2.570396-2 8.204257+1 3.019952-2 5.448467+1 3.548134-2 3.591773+1 4.216965-2 2.280464+1 5.011872-2 1.436803+1 6.025596-2 8.713366+0 7.328245-2 5.074017+0 9.120108-2 2.749522+0 1.096478-1 1.631134+0 2.187762-1 2.261443-1 2.630268-1 1.342424-1 3.090295-1 8.565932-2 3.548134-1 5.869010-2 4.027170-1 4.179713-2 4.518559-1 3.091490-2 5.069907-1 2.303791-2 5.623413-1 1.780667-2 6.237348-1 1.386257-2 6.918310-1 1.087465-2 7.673615-1 8.596457-3 8.511380-1 6.845567-3 9.332543-1 5.630113-3 1.022000+0 4.678016-3 1.161449+0 3.627778-3 1.288250+0 2.979465-3 1.462177+0 2.358007-3 1.621810+0 1.961353-3 1.819701+0 1.610195-3 2.065380+0 1.305956-3 2.344229+0 1.067441-3 2.660725+0 8.789402-4 3.054921+0 7.164272-4 3.548134+0 5.785625-4 4.168694+0 4.633617-4 4.897788+0 3.738706-4 5.821032+0 2.994405-4 7.079458+0 2.345815-4 8.709636+0 1.827466-4 1.083927+1 1.414318-4 1.396368+1 1.059887-4 1.862087+1 7.704849-5 2.540973+1 5.504634-5 3.507519+1 3.909550-5 5.754399+1 2.334159-5 9.332543+1 1.421694-5 1.862087+2 7.054640-6 3.715352+2 3.517056-6 2.951209+3 4.409469-7 1.000000+5 1.300300-8 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 4.940900-4 5.098300-5 1.000000+5 5.098300-5 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.940900-4 8.715100-8 1.000000+5 8.715100-8 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.940900-4 4.430198-4 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 4.096400-4 1.390998+5 4.102000-4 1.437450+5 4.108000-4 1.479604+5 4.117000-4 1.530998+5 4.128000-4 1.580638+5 4.139000-4 1.622106+5 4.150000-4 1.656894+5 4.168694-4 1.706829+5 4.190000-4 1.753032+5 4.215000-4 1.794616+5 4.240000-4 1.824898+5 4.270000-4 1.848756+5 4.300000-4 1.861338+5 4.340000-4 1.865390+5 4.450000-4 1.846184+5 5.039700-4 1.742898+5 5.432503-4 1.662276+5 5.754399-4 1.596833+5 6.100000-4 1.520655+5 6.531306-4 1.424695+5 7.079458-4 1.309011+5 7.500000-4 1.223946+5 8.035261-4 1.120940+5 8.810489-4 9.894706+4 9.500000-4 8.872200+4 1.035142-3 7.767445+4 1.135011-3 6.690103+4 1.230269-3 5.832558+4 1.364583-3 4.849190+4 1.500000-3 4.069960+4 1.659587-3 3.347266+4 1.840772-3 2.720927+4 2.041738-3 2.194099+4 2.264644-3 1.757577+4 2.540973-3 1.362133+4 2.818383-3 1.075440+4 3.162278-3 8.211522+3 3.548134-3 6.221339+3 3.981072-3 4.679148+3 4.466836-3 3.494675+3 5.011872-3 2.592023+3 5.688529-3 1.851360+3 6.500000-3 1.288062+3 7.413102-3 8.934970+2 8.413951-3 6.235659+2 9.549926-3 4.322390+2 1.083927-2 2.976634+2 1.244515-2 1.967111+2 1.428894-2 1.290345+2 1.659587-2 8.107646+1 1.927525-2 5.055635+1 2.238721-2 3.129542+1 2.630268-2 1.853294+1 3.126079-2 1.049264+1 3.758374-2 5.676997+0 4.623810-2 2.822254+0 6.000000-2 1.162066+0 1.188502-1 1.117843-1 1.445440-1 5.754005-2 1.717908-1 3.226098-2 2.018366-1 1.894201-2 2.317395-1 1.207807-2 2.630268-1 8.047887-3 2.985383-1 5.401195-3 3.349654-1 3.785329-3 3.758374-1 2.672600-3 4.168694-1 1.967446-3 4.623810-1 1.458605-3 5.128614-1 1.089337-3 5.688529-1 8.198315-4 6.309573-1 6.218184-4 6.918310-1 4.896115-4 7.585776-1 3.880432-4 8.609938-1 2.840507-4 9.225714-1 2.411823-4 9.772372-1 2.117143-4 1.047129+0 1.825550-4 1.122018+0 1.584654-4 1.202264+0 1.385189-4 1.333521+0 1.143917-4 1.513561+0 9.128596-5 1.737801+0 7.176596-5 1.949845+0 5.911925-5 2.187762+0 4.903839-5 2.483133+0 4.021987-5 2.851018+0 3.265838-5 3.311311+0 2.627833-5 3.845918+0 2.130818-5 4.518559+0 1.712967-5 5.308844+0 1.387243-5 6.456542+0 1.082852-5 7.762471+0 8.639665-6 9.772372+0 6.571841-6 1.230269+1 5.038672-6 1.584893+1 3.790686-6 2.113489+1 2.765026-6 3.054921+1 1.863137-6 4.677351+1 1.192144-6 7.413102+1 7.408686-7 1.479108+2 3.668254-7 2.951209+2 1.826803-7 1.174898+3 4.565959-8 1.000000+5 5.35650-10 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 4.096400-4 3.889400-5 1.000000+5 3.889400-5 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.096400-4 9.150000-8 1.000000+5 9.150000-8 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.096400-4 3.706545-4 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 3.916300-4 3.871766+5 4.000000-4 4.032113+5 4.100000-4 4.149808+5 4.216965-4 4.215672+5 4.350000-4 4.241089+5 4.518559-4 4.188942+5 4.850000-4 4.005680+5 5.248075-4 3.764612+5 5.559043-4 3.587090+5 5.956621-4 3.354179+5 6.350000-4 3.132208+5 6.850000-4 2.869844+5 7.300000-4 2.648088+5 7.943282-4 2.358055+5 8.709636-4 2.063326+5 9.332543-4 1.855069+5 1.023293-3 1.596454+5 1.122018-3 1.365324+5 1.216186-3 1.183196+5 1.355400-3 9.682242+4 1.496236-3 8.004340+4 1.659587-3 6.507375+4 1.840772-3 5.251830+4 2.041738-3 4.208540+4 2.264644-3 3.348993+4 2.511886-3 2.647422+4 2.818383-3 2.023467+4 3.162278-3 1.534617+4 3.548134-3 1.155287+4 4.000000-3 8.530520+3 4.518559-3 6.216978+3 5.128614-3 4.438441+3 5.821032-3 3.143254+3 6.606934-3 2.208460+3 7.500000-3 1.539392+3 8.511380-3 1.066049+3 9.660509-3 7.328631+2 1.096478-2 5.004714+2 1.258925-2 3.275494+2 1.445440-2 2.128115+2 1.659587-2 1.372545+2 1.927525-2 8.467383+1 2.238721-2 5.182883+1 2.630268-2 3.030389+1 3.090295-2 1.758521+1 3.672823-2 9.742266+0 4.415704-2 5.149491+0 5.432503-2 2.493774+0 7.079458-2 9.786802-1 1.230269-1 1.378259-1 1.513561-1 6.652200-2 1.778279-1 3.796853-2 2.041738-1 2.364090-2 2.317395-1 1.542482-2 2.600160-1 1.053568-2 2.884032-1 7.524110-3 3.198895-1 5.409846-3 3.548134-1 3.918628-3 3.890451-1 2.961935-3 4.265795-1 2.254516-3 4.677351-1 1.728397-3 5.128614-1 1.334776-3 5.623413-1 1.038618-3 6.095369-1 8.394141-4 6.606935-1 6.829412-4 7.161434-1 5.590946-4 7.852356-1 4.481196-4 8.609938-1 3.611923-4 9.225714-1 3.090999-4 9.885531-1 2.662743-4 1.083927+0 2.203508-4 1.174898+0 1.878286-4 1.288250+0 1.577536-4 1.428894+0 1.305660-4 1.640590+0 1.022920-4 1.862087+0 8.240395-5 2.089296+0 6.816953-5 2.371374+0 5.575682-5 2.691535+0 4.593939-5 3.090295+0 3.746791-5 3.589219+0 3.027575-5 4.216965+0 2.426053-5 4.954502+0 1.958516-5 5.888437+0 1.569411-5 7.079458+0 1.247519-5 8.709636+0 9.718813-6 1.083927+1 7.521428-6 1.400000+1 5.620200-6 1.862087+1 4.097469-6 2.540973+1 2.927381-6 3.507519+1 2.079157-6 5.754399+1 1.241269-6 9.332543+1 7.560693-7 1.862087+2 3.751694-7 3.715352+2 1.870386-7 2.951209+3 2.344965-8 1.000000+5 6.91530-10 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 3.916300-4 3.866300-5 1.000000+5 3.866300-5 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.916300-4 5.371500-8 1.000000+5 5.371500-8 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.916300-4 3.529133-4 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.404500-4 1.003000+5 2.412000-4 1.000368+5 2.423000-4 1.003712+5 2.432000-4 1.013828+5 2.440000-4 1.029748+5 2.447000-4 1.050688+5 2.452600-4 1.072958+5 2.460000-4 1.110836+5 2.467000-4 1.156920+5 2.472000-4 1.196792+5 2.477000-4 1.243116+5 2.483133-4 1.309546+5 2.490000-4 1.397880+5 2.497000-4 1.504524+5 2.505000-4 1.649032+5 2.512000-4 1.796744+5 2.520000-4 1.991544+5 2.531000-4 2.307088+5 2.555000-4 3.190216+5 2.565000-4 3.631916+5 2.575000-4 4.110080+5 2.585000-4 4.617840+5 2.593000-4 5.040480+5 2.600160-4 5.427191+5 2.610000-4 5.966640+5 2.620000-4 6.516760+5 2.630268-4 7.078449+5 2.641000-4 7.654600+5 2.652000-4 8.230640+5 2.660725-4 8.673803+5 2.670000-4 9.131240+5 2.680000-4 9.607280+5 2.695000-4 1.028724+6 2.710000-4 1.092956+6 2.725000-4 1.153272+6 2.740000-4 1.210216+6 2.760000-4 1.280744+6 2.780000-4 1.345696+6 2.800000-4 1.404776+6 2.820000-4 1.458484+6 2.843000-4 1.513168+6 2.870000-4 1.568212+6 2.900000-4 1.618460+6 2.930000-4 1.657528+6 2.962700-4 1.689200+6 3.000000-4 1.713848+6 3.030000-4 1.726732+6 3.080000-4 1.737612+6 3.150000-4 1.739720+6 3.240000-4 1.729456+6 3.350000-4 1.705604+6 3.467369-4 1.667066+6 3.550000-4 1.632612+6 3.672823-4 1.573389+6 3.801894-4 1.506145+6 4.027170-4 1.389143+6 4.216965-4 1.294137+6 4.415704-4 1.197654+6 4.623810-4 1.101224+6 4.954502-4 9.624229+5 5.248075-4 8.551312+5 5.559043-4 7.548117+5 6.000000-4 6.341000+5 6.531306-4 5.184479+5 7.000000-4 4.368840+5 7.673615-4 3.455087+5 8.413951-4 2.712993+5 9.225714-4 2.113839+5 1.023293-3 1.586058+5 1.135011-3 1.180241+5 1.258925-3 8.724747+4 1.412538-3 6.181433+4 1.566751-3 4.501120+4 1.757924-3 3.139795+4 1.972423-3 2.172625+4 2.187762-3 1.550079+4 2.454709-3 1.058115+4 2.800000-3 6.780120+3 3.198895-3 4.282134+3 3.650000-3 2.692172+3 4.168694-3 1.671848+3 4.677351-3 1.098537+3 5.300000-3 6.914200+2 6.000000-3 4.335720+2 6.839116-3 2.631200+2 7.943282-3 1.473163+2 9.120108-3 8.560725+1 1.047129-2 4.937105+1 1.202264-2 2.827031+1 1.396368-2 1.533631+1 1.621810-2 8.257569+0 1.927525-2 4.009108+0 2.317395-2 1.840128+0 2.884032-2 7.238386-1 3.845918-2 2.102230-1 7.000000-2 1.585021-2 8.609938-2 6.530235-3 1.035142-1 2.988004-3 1.216186-1 1.518159-3 1.412538-1 8.156067-4 1.621810-1 4.629261-4 1.840772-1 2.774142-4 2.065380-1 1.753794-4 2.317395-1 1.117025-4 2.570396-1 7.493660-5 2.851018-1 5.062131-5 3.126079-1 3.594396-5 3.467369-1 2.463487-5 3.801894-1 1.772689-5 4.120975-1 1.336709-5 4.570882-1 9.371272-6 5.188000-1 6.128132-6 5.623413-1 4.700865-6 6.025596-1 3.766751-6 6.456542-1 3.049762-6 6.998420-1 2.401343-6 8.035261-1 1.612464-6 8.609938-1 1.309677-6 9.120108-1 1.109032-6 9.549926-1 9.775377-7 9.885531-1 8.937307-7 1.023293+0 8.212342-7 1.071519+0 7.389079-7 1.122018+0 6.697333-7 1.174898+0 6.110442-7 1.244515+0 5.493230-7 1.348963+0 4.772988-7 1.513561+0 3.938592-7 1.840772+0 2.809170-7 2.044000+0 2.359900-7 2.317395+0 1.931071-7 2.630268+0 1.588978-7 3.019952+0 1.294313-7 3.507519+0 1.044628-7 4.120975+0 8.361711-8 4.841724+0 6.743167-8 5.754399+0 5.397972-8 7.000000+0 4.225600-8 8.609938+0 3.291474-8 1.071519+1 2.546334-8 1.380384+1 1.907606-8 1.819701+1 1.403839-8 2.454709+1 1.014855-8 3.388442+1 7.202654-9 5.495409+1 4.349322-9 8.810489+1 2.678381-9 1.757924+2 1.328439-9 3.507519+2 6.62103-10 1.396368+3 1.65648-10 1.000000+5 2.31020-12 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.404500-4 2.448700-5 1.000000+5 2.448700-5 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.404500-4 7.316600-8 1.000000+5 7.316600-8 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.404500-4 2.158898-4 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.370000-4 1.443864+5 2.377000-4 1.445706+5 2.388000-4 1.457718+5 2.397000-4 1.477686+5 2.405500-4 1.507873+5 2.412000-4 1.540242+5 2.418000-4 1.578774+5 2.425000-4 1.635864+5 2.431000-4 1.696710+5 2.437000-4 1.770006+5 2.444000-4 1.873284+5 2.451000-4 1.998054+5 2.457000-4 2.123964+5 2.463000-4 2.269086+5 2.470000-4 2.464650+5 2.477000-4 2.690586+5 2.488000-4 3.111504+5 2.519000-4 4.757388+5 2.530000-4 5.497734+5 2.540973-4 6.304031+5 2.550000-4 7.008480+5 2.558000-4 7.656240+5 2.565000-4 8.235900+5 2.573000-4 8.907540+5 2.582000-4 9.667740+5 2.590000-4 1.034184+6 2.600160-4 1.118848+6 2.612000-4 1.215300+6 2.623000-4 1.302120+6 2.635000-4 1.393308+6 2.645000-4 1.466316+6 2.660000-4 1.570686+6 2.670000-4 1.636890+6 2.685000-4 1.731342+6 2.700000-4 1.820214+6 2.720000-4 1.930506+6 2.740000-4 2.031822+6 2.760000-4 2.124420+6 2.780700-4 2.211180+6 2.800000-4 2.283834+6 2.827000-4 2.372274+6 2.851018-4 2.438378+6 2.880000-4 2.503314+6 2.910000-4 2.554980+6 2.940000-4 2.592942+6 2.985383-4 2.629450+6 3.030000-4 2.647212+6 3.100000-4 2.652462+6 3.198895-4 2.635066+6 3.311311-4 2.595586+6 3.390000-4 2.557014+6 3.500000-4 2.488674+6 3.600000-4 2.415120+6 3.715352-4 2.322990+6 3.890451-4 2.180558+6 4.100000-4 2.015808+6 4.280000-4 1.879362+6 4.500000-4 1.718916+6 4.731513-4 1.561603+6 5.069907-4 1.358176+6 5.400000-4 1.187544+6 5.754399-4 1.029435+6 6.237348-4 8.516777+5 6.760830-4 6.998631+5 7.328245-4 5.706880+5 8.035261-4 4.487837+5 8.810489-4 3.504806+5 9.772372-4 2.633271+5 1.083927-3 1.963485+5 1.202264-3 1.453334+5 1.333521-3 1.068002+5 1.479108-3 7.793139+4 1.659587-3 5.447966+4 1.862087-3 3.777457+4 2.070000-3 2.679498+4 2.317395-3 1.845375+4 2.630268-3 1.204620+4 3.000000-3 7.666200+3 3.427678-3 4.805168+3 3.900000-3 3.029688+3 4.415704-3 1.928350+3 4.954502-3 1.259777+3 5.559043-3 8.178559+2 6.237348-3 5.276681+2 7.110160-3 3.183732+2 8.035261-3 1.973184+2 9.225714-3 1.140880+2 1.059254-2 6.549039+1 1.216186-2 3.731214+1 1.396368-2 2.110792+1 1.603245-2 1.185967+1 1.883649-2 6.006004+0 2.238721-2 2.874552+0 2.722701-2 1.237126+0 3.507519-2 4.118168-1 7.244360-2 1.725959-2 8.912509-2 7.015625-3 1.122019-1 2.602313-3 1.288250-1 1.445323-3 1.462177-1 8.491916-4 1.640590-1 5.275242-4 1.819701-1 3.459544-4 2.018366-1 2.284337-4 2.238721-1 1.519768-4 2.454709-1 1.064933-4 2.710800-1 7.312960-5 2.985383-1 5.113572-5 3.273407-1 3.659881-5 3.548134-1 2.748462-5 3.845918-1 2.077370-5 4.168694-1 1.580720-5 4.466836-1 1.258159-5 4.786301-1 1.007808-5 5.069907-1 8.425977-6 5.495409-1 6.624331-6 6.531306-1 4.016451-6 7.079458-1 3.200588-6 7.585776-1 2.652863-6 8.128305-1 2.215406-6 8.609938-1 1.917341-6 9.120108-1 1.669099-6 9.660509-1 1.462391-6 1.023293+0 1.290324-6 1.096478+0 1.117794-6 1.174898+0 9.747327-7 1.273503+0 8.379704-7 1.428894+0 6.803759-7 1.678804+0 5.127216-7 1.905461+0 4.135256-7 2.137962+0 3.425272-7 2.426610+0 2.805479-7 2.754229+0 2.314436-7 3.162278+0 1.889902-7 3.672823+0 1.528930-7 4.315191+0 1.226474-7 5.069907+0 9.911540-8 6.095369+0 7.835297-8 7.328245+0 6.236587-8 9.120108+0 4.799038-8 1.135011+1 3.719663-8 1.445440+1 2.827785-8 1.905461+1 2.083629-8 2.600160+1 1.489402-8 3.589219+1 1.058286-8 5.956621+1 6.246034-9 9.772372+1 3.762180-9 1.949845+2 1.867479-9 3.890451+2 9.31219-10 3.090295+3 1.16773-10 1.000000+5 3.60610-12 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.370000-4 2.461100-5 1.000000+5 2.461100-5 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.370000-4 3.94830-10 1.000000+5 3.94830-10 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.370000-4 2.123886-4 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 6.963000-5 1.696778+5 7.150000-5 1.758304+5 7.328245-5 1.804736+5 7.585776-5 1.856067+5 7.900000-5 1.900544+5 8.317638-5 1.941373+5 8.810489-5 1.972545+5 9.440609-5 1.995445+5 1.011579-4 2.004047+5 1.080000-4 1.996922+5 1.135011-4 1.980094+5 1.202264-4 1.946962+5 1.273503-4 1.899339+5 1.350000-4 1.837992+5 1.430000-4 1.767262+5 1.540000-4 1.666642+5 1.678804-4 1.544013+5 1.850000-4 1.406356+5 2.018366-4 1.285308+5 2.187762-4 1.175561+5 2.400000-4 1.052974+5 2.660725-4 9.240920+4 3.019952-4 7.815759+4 3.388442-4 6.667724+4 3.801894-4 5.647573+4 4.500000-4 4.389000+4 5.188000-4 3.522631+4 6.309573-4 2.577868+4 7.500000-4 1.942162+4 9.120108-4 1.400187+4 1.135011-3 9.632837+3 1.400000-3 6.677240+3 1.698244-3 4.729991+3 2.041738-3 3.379284+3 2.426610-3 2.447711+3 2.917427-3 1.721797+3 3.507519-3 1.201557+3 4.216965-3 8.319532+2 5.011872-3 5.852106+2 5.956621-3 4.086134+2 7.079458-3 2.831260+2 8.317638-3 1.995467+2 9.772372-3 1.396297+2 1.216186-2 8.523676+1 1.428894-2 5.881867+1 1.678804-2 4.027800+1 1.949845-2 2.812675+1 2.264644-2 1.949186+1 2.540973-2 1.461715+1 2.951209-2 9.970731+0 3.481550-2 6.481824+0 4.415704-2 3.452722+0 5.308844-2 2.104865+0 6.309573-2 1.314277+0 7.673615-2 7.641220-1 9.549926-2 4.134985-1 1.202264-1 2.148067-1 2.137962-1 4.139436-2 2.600160-1 2.378119-2 3.054921-1 1.517138-2 3.507519-1 1.038928-2 4.000000-1 7.301600-3 4.518559-1 5.304757-3 5.069907-1 3.953274-3 5.623413-1 3.055670-3 6.237348-1 2.378906-3 6.918310-1 1.866210-3 7.673615-1 1.475275-3 8.511380-1 1.174814-3 9.332543-1 9.662106-4 1.023293+0 8.007348-4 1.161449+0 6.225328-4 1.288250+0 5.112855-4 1.462177+0 4.046411-4 1.621810+0 3.365598-4 1.819701+0 2.762879-4 2.065380+0 2.240866-4 2.344229+0 1.831610-4 2.660725+0 1.508131-4 3.054921+0 1.229252-4 3.548134+0 9.927076-5 4.168694+0 7.950462-5 4.897788+0 6.414939-5 5.821032+0 5.137802-5 7.079458+0 4.024914-5 8.709636+0 3.135616-5 1.083927+1 2.426747-5 1.400000+1 1.813300-5 1.862087+1 1.321985-5 2.570396+1 9.329332-6 3.548134+1 6.627404-6 5.888437+1 3.910797-6 9.660509+1 2.355113-6 1.927525+2 1.168965-6 3.845918+2 5.828640-7 3.054921+3 7.308911-8 1.000000+5 2.231200-9 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 6.963000-5 2.039900-5 1.000000+5 2.039900-5 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 6.963000-5 3.56180-10 1.000000+5 3.56180-10 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 6.963000-5 4.923064-5 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 4.507000-5 2.032160+6 4.540000-5 2.011600+6 4.610000-5 1.952406+6 4.680000-5 1.880842+6 4.786301-5 1.762156+6 4.900000-5 1.632474+6 5.011872-5 1.508849+6 5.188000-5 1.328259+6 5.400000-5 1.136026+6 5.650000-5 9.446940+5 6.000000-5 7.330280+5 6.683439-5 4.617646+5 7.000000-5 3.810020+5 7.244360-5 3.322422+5 7.500000-5 2.911780+5 7.762471-5 2.574334+5 8.000000-5 2.327380+5 8.230000-5 2.130520+5 8.413951-5 1.997682+5 8.650000-5 1.853616+5 8.912509-5 1.722004+5 9.150000-5 1.623938+5 9.440609-5 1.525682+5 9.740000-5 1.444406+5 1.000000-4 1.386886+5 1.035142-4 1.324337+5 1.071519-4 1.273917+5 1.109175-4 1.233374+5 1.150000-4 1.199464+5 1.205000-4 1.165610+5 1.273503-4 1.135770+5 1.380384-4 1.103219+5 1.621810-4 1.046363+5 1.778279-4 1.008845+5 1.927525-4 9.709569+4 2.089296-4 9.282667+4 2.264644-4 8.807460+4 2.454709-4 8.295460+4 2.660725-4 7.759957+4 2.917427-4 7.137986+4 3.198895-4 6.516882+4 3.507519-4 5.903118+4 3.850000-4 5.300040+4 4.265795-4 4.673863+4 4.731513-4 4.086262+4 5.188000-4 3.601955+4 5.821032-4 3.053575+4 6.500000-4 2.588280+4 7.328245-4 2.144496+4 8.317638-4 1.744241+4 9.332543-4 1.434682+4 1.050000-3 1.166606+4 1.174898-3 9.513391+3 1.318257-3 7.668154+3 1.479108-3 6.137007+3 1.659587-3 4.875161+3 1.862087-3 3.844571+3 2.089296-3 3.009439+3 2.344229-3 2.338215+3 2.630268-3 1.803656+3 2.951209-3 1.381502+3 3.311311-3 1.050818+3 3.715352-3 7.938827+2 4.216965-3 5.787511+2 4.786301-3 4.186285+2 5.432503-3 3.004914+2 6.165950-3 2.140640+2 7.000000-3 1.512584+2 8.000000-3 1.041000+2 9.120108-3 7.160778+1 1.216186-2 3.113328+1 1.364583-2 2.216815+1 1.500000-2 1.665670+1 1.640590-2 1.261533+1 1.778279-2 9.754327+0 1.862087-2 8.388656+0 1.949845-2 7.175928+0 2.018366-2 6.410858+0 2.113489-2 5.562322+0 2.238721-2 4.694339+0 2.454709-2 3.524797+0 2.691535-2 2.627154+0 2.985383-2 1.872940+0 3.349654-2 1.275574+0 3.801894-2 8.294365-1 4.466836-2 4.755839-1 5.069907-2 3.064112-1 1.188502-1 1.666711-2 1.462177-1 8.260506-3 1.737801-1 4.632440-3 2.018366-1 2.824780-3 2.317395-1 1.801379-3 2.630268-1 1.200601-3 2.985383-1 8.059987-4 3.349654-1 5.649656-4 3.758374-1 3.989400-4 4.168694-1 2.937078-4 4.623810-1 2.177533-4 5.128614-1 1.625983-4 5.688529-1 1.223199-4 6.237348-1 9.561691-5 6.839117-1 7.524108-5 7.498942-1 5.959779-5 8.609938-1 4.238795-5 9.225714-1 3.598303-5 9.772372-1 3.158199-5 1.047129+0 2.722933-5 1.122018+0 2.363322-5 1.202264+0 2.065772-5 1.333521+0 1.706158-5 1.513561+0 1.361630-5 1.737801+0 1.070450-5 1.949845+0 8.818073-6 2.187762+0 7.314679-6 2.483133+0 5.999304-6 2.851018+0 4.871280-6 3.311311+0 3.919577-6 3.845918+0 3.178235-6 4.518559+0 2.554988-6 5.308844+0 2.069164-6 6.456542+0 1.615171-6 7.762471+0 1.288705-6 9.772372+0 9.802447-7 1.244515+1 7.417622-7 1.603245+1 5.582444-7 2.137962+1 4.073068-7 3.090295+1 2.745277-7 4.786301+1 1.736018-7 7.498942+1 1.092135-7 1.496236+2 5.408048-8 2.985383+2 2.693410-8 1.188502+3 6.732410-9 1.000000+5 7.98970-11 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 4.507000-5 1.377000-5 1.000000+5 1.377000-5 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.507000-5 3.66630-10 1.000000+5 3.66630-10 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.507000-5 3.129963-5 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 4.246000-5 4.251880+6 4.300000-5 4.144600+6 4.365158-5 3.991252+6 4.450000-5 3.772144+6 4.550000-5 3.507732+6 4.677351-5 3.181753+6 4.850000-5 2.776944+6 5.069907-5 2.331675+6 5.370318-5 1.842134+6 6.095369-5 1.084681+6 6.400000-5 8.903400+5 6.650000-5 7.677200+5 6.850000-5 6.884760+5 7.079458-5 6.141451+5 7.300000-5 5.562160+5 7.500000-5 5.129240+5 7.730000-5 4.719080+5 7.943282-5 4.406615+5 8.150000-5 4.154200+5 8.413951-5 3.890046+5 8.650000-5 3.698028+5 8.912509-5 3.523257+5 9.225714-5 3.356602+5 9.549926-5 3.220913+5 9.900000-5 3.106056+5 1.023293-4 3.019808+5 1.071519-4 2.923806+5 1.122018-4 2.848863+5 1.202264-4 2.762133+5 1.479108-4 2.555716+5 1.621810-4 2.452801+5 1.778279-4 2.336582+5 1.927525-4 2.224441+5 2.089296-4 2.103060+5 2.264644-4 1.974282+5 2.454709-4 1.840228+5 2.691535-4 1.685521+5 2.951209-4 1.532991+5 3.235937-4 1.384713+5 3.548134-4 1.241451+5 3.935501-4 1.089423+5 4.415704-4 9.346009+4 4.897788-4 8.080234+4 5.432503-4 6.936660+4 6.095369-4 5.814677+4 6.839116-4 4.837750+4 7.800000-4 3.887364+4 8.709636-4 3.214651+4 9.772372-4 2.618528+4 1.100000-3 2.106656+4 1.244515-3 1.666549+4 1.396368-3 1.330028+4 1.566751-3 1.053670+4 1.757924-3 8.289017+3 1.972423-3 6.473927+3 2.213095-3 5.017886+3 2.483133-3 3.861126+3 2.786121-3 2.950425+3 3.126079-3 2.238496+3 3.507519-3 1.686614+3 3.981072-3 1.225742+3 4.518559-3 8.839123+2 5.128614-3 6.324344+2 5.821032-3 4.489998+2 6.606934-3 3.162955+2 7.498942-3 2.211400+2 8.511380-3 1.534708+2 1.202264-2 5.545673+1 1.348963-2 3.921928+1 1.479108-2 2.953670+1 1.603245-2 2.290980+1 1.737801-2 1.765178+1 1.862087-2 1.402836+1 2.018366-2 1.065394+1 2.162719-2 8.491298+0 2.344229-2 6.565973+0 2.456200-2 5.672245+0 2.754229-2 3.880815+0 3.126079-2 2.529690+0 3.589219-2 1.573010+0 4.216965-2 8.960261-1 7.413102-2 1.224331-1 1.273503-1 1.802921-2 1.548817-1 9.078174-3 1.819701-1 5.194248-3 2.089296-1 3.241365-3 2.371374-1 2.118580-3 2.660725-1 1.449395-3 2.951209-1 1.036673-3 3.273407-1 7.466480-4 3.630781-1 5.418370-4 4.000000-1 4.045100-4 4.365158-1 3.128523-4 4.786301-1 2.402979-4 5.248075-1 1.859793-4 5.754399-1 1.450686-4 6.237348-1 1.174969-4 6.839117-1 9.304953-5 7.498942-1 7.427759-5 8.413951-1 5.659027-5 9.120108-1 4.711978-5 9.772372-1 4.055350-5 1.071519+0 3.353037-5 1.174898+0 2.792464-5 1.288250+0 2.345267-5 1.428894+0 1.940878-5 1.640590+0 1.520413-5 1.862087+0 1.224799-5 2.089296+0 1.013311-5 2.371374+0 8.288428-6 2.691535+0 6.828946-6 3.090295+0 5.569490-6 3.589219+0 4.500453-6 4.216965+0 3.606319-6 4.954502+0 2.911312-6 5.888437+0 2.332874-6 7.079458+0 1.854356-6 8.709636+0 1.444656-6 1.083927+1 1.118018-6 1.400000+1 8.354200-7 1.862087+1 6.090727-7 2.540973+1 4.351448-7 3.507519+1 3.090522-7 5.754399+1 1.845198-7 9.332543+1 1.123877-7 1.862087+2 5.576733-8 3.715352+2 2.780269-8 2.951209+3 3.485733-9 1.000000+5 1.02790-10 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 4.246000-5 1.366900-5 1.000000+5 1.366900-5 1 42000 7 7 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 4.246000-5 3.02150-10 1.000000+5 3.02150-10 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 4.246000-5 2.879070-5 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 7.000000-6 3.860360+6 7.413102-6 4.236091+6 7.850000-6 4.616440+6 8.317638-6 5.000925+6 8.912509-6 5.456909+6 9.549926-6 5.905823+6 1.035142-5 6.426912+6 1.122018-5 6.945332+6 1.244515-5 7.609987+6 1.396368-5 8.356466+6 1.548817-5 9.026395+6 1.678804-5 9.528558+6 1.800000-5 9.917080+6 1.905461-5 1.018492+7 2.000000-5 1.035986+7 2.089296-5 1.046017+7 2.162719-5 1.049167+7 2.238721-5 1.047336+7 2.330000-5 1.038242+7 2.420000-5 1.022134+7 2.511886-5 9.988452+6 2.600160-5 9.705705+6 2.691535-5 9.360162+6 2.786121-5 8.956214+6 2.870000-5 8.568280+6 2.951209-5 8.174461+6 3.054921-5 7.656707+6 3.162278-5 7.115579+6 3.273407-5 6.561729+6 3.388442-5 6.005608+6 3.507519-5 5.457159+6 3.630781-5 4.924924+6 3.770000-5 4.370940+6 3.900000-5 3.899300+6 4.027170-5 3.479746+6 4.168694-5 3.059512+6 4.315191-5 2.672986+6 4.466836-5 2.320083+6 4.623810-5 1.999856+6 4.786301-5 1.711369+6 4.954502-5 1.453608+6 5.128614-5 1.225044+6 5.300000-5 1.032820+6 5.450000-5 8.877460+5 5.623413-5 7.435948+5 5.800000-5 6.194380+5 5.956621-5 5.257981+5 6.095369-5 4.540270+5 6.237348-5 3.901464+5 6.400000-5 3.274220+5 6.580000-5 2.692960+5 6.760830-5 2.210565+5 6.918310-5 1.860688+5 7.161434-5 1.427340+5 7.585776-5 9.116744+4 7.765400-5 7.632723+4 7.900000-5 6.732180+4 8.040000-5 5.960600+4 8.150000-5 5.458140+4 8.230000-5 5.144020+4 8.330500-5 4.804856+4 8.413951-5 4.566066+4 8.511380-5 4.331858+4 8.610000-5 4.139160+4 8.709636-5 3.985242+4 8.810489-5 3.866962+4 8.912509-5 3.781705+4 9.015711-5 3.726947+4 9.120108-5 3.700247+4 9.230000-5 3.699780+4 9.350000-5 3.727780+4 9.450000-5 3.771080+4 9.580000-5 3.850940+4 9.720000-5 3.962520+4 9.900000-5 4.137960+4 1.011579-4 4.385005+4 1.109175-4 5.741561+4 1.148154-4 6.302862+4 1.180000-4 6.743600+4 1.216186-4 7.217536+4 1.250000-4 7.629000+4 1.288250-4 8.051626+4 1.330000-4 8.460620+4 1.365000-4 8.763920+4 1.412538-4 9.117262+4 1.462177-4 9.416967+4 1.520000-4 9.691140+4 1.580000-4 9.895280+4 1.650000-4 1.004540+5 1.720000-4 1.011794+5 1.800000-4 1.011592+5 1.883649-4 1.004147+5 1.972423-4 9.890474+4 2.065380-4 9.678346+4 2.162719-4 9.406673+4 2.264644-4 9.091870+4 2.398833-4 8.649064+4 2.540973-4 8.164503+4 2.691535-4 7.651671+4 2.851018-4 7.123117+4 3.054921-4 6.485607+4 3.273407-4 5.861383+4 3.507519-4 5.256976+4 3.758374-4 4.681810+4 4.073803-4 4.057418+4 4.415704-4 3.490004+4 4.786301-4 2.979296+4 5.188000-4 2.525432+4 5.623413-4 2.126660+4 6.165950-4 1.734354+4 6.760830-4 1.404058+4 7.498942-4 1.098569+4 8.222426-4 8.771011+3 9.015711-4 6.954475+3 1.000000-3 5.315800+3 1.109175-3 4.031577+3 1.230269-3 3.033934+3 1.364583-3 2.266004+3 1.513561-3 1.680530+3 1.678804-3 1.236209+3 1.862087-3 9.023969+2 2.089296-3 6.308432+2 2.317395-3 4.539221+2 2.570396-3 3.244332+2 2.867000-3 2.261002+2 3.198895-3 1.561984+2 3.589219-3 1.051208+2 4.073803-3 6.746050+1 4.570882-3 4.477948+1 5.128614-3 2.951995+1 5.754399-3 1.932496+1 6.531306-3 1.203332+1 7.413102-3 7.435836+0 8.413951-3 4.561751+0 1.023293-2 2.120085+0 1.216186-2 1.081826+0 1.348963-2 7.182608-1 1.479108-2 4.957704-1 1.603245-2 3.559850-1 1.717908-2 2.663438-1 1.840772-2 1.979558-1 1.949845-2 1.530713-1 2.018366-2 1.318423-1 2.089296-2 1.143619-1 2.162719-2 9.970721-2 2.222500-2 8.976014-2 2.426610-2 6.265954-2 2.660725-2 4.268323-2 2.951209-2 2.750650-2 3.311311-2 1.675370-2 3.801894-2 9.168598-3 4.954502-2 2.852950-3 6.237348-2 1.055851-3 7.943282-2 3.742880-4 9.660509-2 1.627880-4 1.148154-1 7.859226-5 1.333521-1 4.210142-5 1.531088-1 2.382803-5 1.737801-1 1.423611-5 1.972423-1 8.569524-6 2.213095-1 5.443431-6 2.483133-1 3.484034-6 2.754229-1 2.347648-6 3.090295-1 1.525896-6 3.427678-1 1.043024-6 3.758374-1 7.488043-7 4.073803-1 5.635744-7 4.466836-1 4.102461-7 4.897788-1 3.006872-7 5.370318-1 2.217628-7 5.888437-1 1.647332-7 6.382635-1 1.279478-7 6.918310-1 1.000406-7 7.585776-1 7.609145-8 8.035261-1 6.434027-8 8.511380-1 5.418968-8 9.015711-1 4.594768-8 9.440609-1 4.053163-8 9.885531-1 3.601501-8 1.035142+0 3.227118-8 1.083927+0 2.912878-8 1.135011+0 2.646409-8 1.188600+0 2.418000-8 1.273503+0 2.131716-8 1.380384+0 1.853657-8 1.513561+0 1.587961-8 1.819701+0 1.154953-8 2.018366+0 9.713323-9 2.290868+0 7.927980-9 2.600160+0 6.519466-9 2.985383+0 5.307437-9 3.467369+0 4.280949-9 4.073803+0 3.424717-9 4.786301+0 2.760328-9 5.688529+0 2.208587-9 6.918310+0 1.728587-9 8.511380+0 1.345471-9 1.059254+1 1.040506-9 1.364583+1 7.79193-10 1.800000+1 5.72830-10 2.454709+1 4.09196-10 3.427678+1 2.86925-10 5.623413+1 1.71241-10 9.015711+1 1.05489-10 1.798871+2 5.23312-11 3.589219+2 2.60858-11 1.428894+3 6.52686-12 1.000000+5 9.31520-14 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 7.000000-6 7.000000-6 1.000000+5 7.000000-6 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 7.000000-6 0.0 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 6.770000-6 6.129781+6 7.161434-6 6.709208+6 7.585776-6 7.298856+6 8.035261-6 7.880245+6 8.511380-6 8.449210+6 9.120108-6 9.120355+6 9.850000-6 9.849120+6 1.071519-5 1.063116+7 1.174898-5 1.147875+7 1.318257-5 1.253401+7 1.479108-5 1.358145+7 1.621810-5 1.438369+7 1.737801-5 1.493507+7 1.850000-5 1.535805+7 1.950000-5 1.562715+7 2.041738-5 1.577156+7 2.137962-5 1.580922+7 2.230000-5 1.573413+7 2.317395-5 1.556055+7 2.400000-5 1.530519+7 2.483133-5 1.496342+7 2.570396-5 1.452337+7 2.660725-5 1.399408+7 2.754229-5 1.338250+7 2.851018-5 1.269749+7 2.950000-5 1.196025+7 3.040000-5 1.127358+7 3.126079-5 1.061489+7 3.235937-5 9.786371+6 3.350000-5 8.953890+6 3.467369-5 8.137572+6 3.590900-5 7.331199+6 3.730000-5 6.495330+6 3.850000-5 5.837580+6 4.000000-5 5.095230+6 4.150000-5 4.435950+6 4.300000-5 3.853620+6 4.466836-5 3.288570+6 4.623810-5 2.827615+6 4.786301-5 2.413401+6 4.954502-5 2.043760+6 5.128614-5 1.716812+6 5.300000-5 1.443021+6 5.450000-5 1.237092+6 5.623413-5 1.032837+6 5.800000-5 8.572860+5 5.956621-5 7.253816+5 6.095369-5 6.247131+5 6.237348-5 5.354047+5 6.400000-5 4.479360+5 6.580000-5 3.671220+5 6.760830-5 3.003790+5 7.000000-5 2.304942+5 7.500000-5 1.347363+5 7.673615-5 1.132949+5 7.800000-5 1.005987+5 7.900000-5 9.206760+4 8.000000-5 8.473080+4 8.110000-5 7.789890+4 8.222426-5 7.211408+4 8.317638-5 6.806250+4 8.413951-5 6.467376+4 8.511380-5 6.190210+4 8.610000-5 5.970210+4 8.709636-5 5.803559+4 8.810489-5 5.685957+4 8.912509-5 5.613720+4 9.015711-5 5.583234+4 9.120108-5 5.590991+4 9.240200-5 5.642003+4 9.350000-5 5.722980+4 9.500000-5 5.878740+4 9.660509-5 6.093611+4 9.850000-5 6.398760+4 1.011579-4 6.896525+4 1.083927-4 8.454499+4 1.122018-4 9.299491+4 1.160000-4 1.011411+5 1.190000-4 1.072173+5 1.220000-4 1.129263+5 1.260000-4 1.199319+5 1.300000-4 1.261572+5 1.340000-4 1.315863+5 1.380384-4 1.363434+5 1.430000-4 1.412109+5 1.480000-4 1.450632+5 1.540000-4 1.485573+5 1.603245-4 1.509876+5 1.678804-4 1.525038+5 1.737801-4 1.528187+5 1.820000-4 1.521267+5 1.905461-4 1.503822+5 2.007000-4 1.471290+5 2.113489-4 1.428681+5 2.213095-4 1.383046+5 2.317395-4 1.331389+5 2.454709-4 1.260144+5 2.600160-4 1.183585+5 2.754229-4 1.103826+5 2.917427-4 1.022782+5 3.126079-4 9.270667+4 3.349654-4 8.342557+4 3.589219-4 7.452329+4 3.845918-4 6.612170+4 4.168694-4 5.708456+4 4.518559-4 4.891573+4 4.897788-4 4.160772+4 5.308844-4 3.514740+4 5.754399-4 2.949991+4 6.309573-4 2.397467+4 6.918310-4 1.934682+4 7.585776-4 1.551353+4 8.317638-4 1.235560+4 9.225714-4 9.487596+3 1.023293-3 7.227597+3 1.135011-3 5.462493+3 1.258925-3 4.096294+3 1.396368-3 3.048158+3 1.548817-3 2.250892+3 1.717908-3 1.649619+3 1.905461-3 1.200180+3 2.113489-3 8.668904+2 2.344229-3 6.217774+2 2.630268-3 4.264926+2 2.951209-3 2.902900+2 3.235937-3 2.121891+2 3.630781-3 1.420516+2 4.216965-3 8.356447+1 4.786301-3 5.295609+1 5.370318-3 3.472161+1 6.025596-3 2.260654+1 6.839116-3 1.399143+1 7.762471-3 8.593498+0 8.810489-3 5.239818+0 1.023293-2 2.900389+0 1.216186-2 1.470882+0 1.348963-2 9.727404-1 1.479108-2 6.690459-1 1.603245-2 4.789205-1 1.717908-2 3.573874-1 1.862087-2 2.517617-1 1.949845-2 2.044671-1 2.018366-2 1.758805-1 2.089296-2 1.523391-1 2.162719-2 1.326089-1 2.222500-2 1.192220-1 2.426610-2 8.288190-2 2.660725-2 5.620327-2 2.951209-2 3.602719-2 3.311311-2 2.180857-2 3.801894-2 1.184317-2 5.069907-2 3.276627-3 6.918310-2 8.410698-4 8.511380-2 3.418925-4 1.035142-1 1.472090-4 1.202264-1 7.775471-5 1.380384-1 4.345320-5 1.566751-1 2.567717-5 1.757924-1 1.602858-5 1.949845-1 1.055921-5 2.162719-1 7.006466-6 2.371374-1 4.897853-6 2.600160-1 3.446577-6 2.851018-1 2.442537-6 3.126079-1 1.744090-6 3.388442-1 1.307467-6 3.672823-1 9.865471-7 4.000000-1 7.376600-7 4.315191-1 5.737193-7 4.677351-1 4.423865-7 5.069907-1 3.436823-7 5.495409-1 2.690598-7 5.956621-1 2.122380-7 6.456542-1 1.686965-7 6.998420-1 1.351023-7 7.585776-1 1.090106-7 8.511380-1 8.100444-8 9.015711-1 7.023577-8 9.549926-1 6.128731-8 1.011579+0 5.387935-8 1.083927+0 4.654670-8 1.161449+0 4.051429-8 1.244515+0 3.555832-8 1.380384+0 2.946605-8 1.678804+0 2.090134-8 1.905461+0 1.685477-8 2.137962+0 1.396306-8 2.426610+0 1.143715-8 2.786121+0 9.273885-9 3.198895+0 7.576628-9 3.715352+0 6.133083-9 4.365158+0 4.922565-9 5.128614+0 3.980293-9 6.237348+0 3.102703-9 7.498942+0 2.471993-9 9.332543+0 1.903729-9 1.161449+1 1.476618-9 1.500000+1 1.105900-9 1.972423+1 8.17928-10 2.754229+1 5.70821-10 3.935501+1 3.91709-10 6.456542+1 2.34301-10 1.122018+2 1.33246-10 2.238721+2 6.62164-11 4.466836+2 3.30449-11 3.548134+3 4.14536-12 1.000000+5 1.46990-13 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 6.770000-6 6.770000-6 1.000000+5 6.770000-6 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 6.770000-6 0.0 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 5.970000-6 1.269840+6 6.095369-6 1.138337+6 6.382635-6 8.866401+5 6.606934-6 7.315788+5 6.850000-6 5.952320+5 7.100000-6 4.821510+5 7.350000-6 3.911260+5 7.600000-6 3.174750+5 7.852356-6 2.571903+5 8.100000-6 2.090970+5 8.350000-6 1.695150+5 8.600000-6 1.372230+5 8.810489-6 1.146669+5 9.015711-6 9.607765+4 9.225714-6 7.999800+4 9.440609-6 6.614920+4 9.660509-6 5.428547+4 9.850000-6 4.565530+4 1.000000-5 3.972680+4 1.020000-5 3.290380+4 1.042000-5 2.663480+4 1.060000-5 2.233380+4 1.077000-5 1.886460+4 1.100000-5 1.496470+4 1.122018-5 1.196407+4 1.165000-5 7.769880+3 1.180000-5 6.729680+3 1.195000-5 5.871340+3 1.207000-5 5.302390+3 1.218000-5 4.864320+3 1.226000-5 4.592060+3 1.235000-5 4.329180+3 1.244515-5 4.097951+3 1.252000-5 3.947570+3 1.260000-5 3.815620+3 1.267000-5 3.723160+3 1.275000-5 3.642230+3 1.282000-5 3.591850+3 1.290000-5 3.556220+3 1.297000-5 3.543170+3 1.305000-5 3.547710+3 1.313000-5 3.571760+3 1.320000-5 3.607820+3 1.330000-5 3.682020+3 1.340000-5 3.780980+3 1.353000-5 3.943320+3 1.365000-5 4.123730+3 1.380384-5 4.393118+3 1.400000-5 4.790430+3 1.470000-5 6.562640+3 1.500000-5 7.432580+3 1.531087-5 8.372761+3 1.560000-5 9.267990+3 1.590000-5 1.020620+4 1.621810-5 1.120082+4 1.650000-5 1.207480+4 1.680000-5 1.299110+4 1.717908-5 1.412086+4 1.757924-5 1.527418+4 1.800000-5 1.643610+4 1.840772-5 1.750830+4 1.883649-5 1.857664+4 1.935000-5 1.977550+4 1.995262-5 2.107173+4 2.056900-5 2.227825+4 2.130000-5 2.356120+4 2.190000-5 2.450210+4 2.270000-5 2.561240+4 2.350000-5 2.657350+4 2.454709-5 2.763414+4 2.570396-5 2.858240+4 2.704500-5 2.943280+4 2.851018-5 3.010749+4 3.019952-5 3.062209+4 3.210300-5 3.094249+4 3.427678-5 3.105553+4 3.672823-5 3.095231+4 3.935501-5 3.064728+4 4.216965-5 3.015366+4 4.570882-5 2.937114+4 4.954502-5 2.839524+4 5.370318-5 2.725380+4 5.821032-5 2.595366+4 6.309573-5 2.452739+4 6.839116-5 2.300390+4 7.328245-5 2.164157+4 7.943282-5 2.001209+4 8.609938-5 1.838011+4 9.332543-5 1.677983+4 1.040000-4 1.472230+4 1.174898-4 1.259979+4 1.364583-4 1.031723+4 1.659587-4 7.870695+3 2.540973-4 4.331751+3 2.917427-4 3.547890+3 3.126079-4 3.196405+3 3.630781-4 2.528779+3 4.365158-4 1.880016+3 5.432503-4 1.313821+3 7.000000-4 8.598624+2 8.609938-4 6.038576+2 1.035142-3 4.381010+2 1.288250-3 2.966325+2 1.678804-3 1.834642+2 2.483133-3 8.948849+1 2.884032-3 6.760150+1 3.349654-3 5.056401+1 3.935501-3 3.670033+1 4.677351-3 2.582712+1 5.754399-3 1.680338+1 6.839116-3 1.165565+1 8.035261-3 8.225893+0 9.549926-3 5.617246+0 1.161449-2 3.617244+0 1.380384-2 2.434923+0 1.621810-2 1.670328+0 1.883649-2 1.168530+0 2.187762-2 8.110554-1 2.511886-2 5.748617-1 2.917427-2 3.922755-1 3.427678-2 2.578426-1 4.315191-2 1.401500-1 5.188000-2 8.551588-2 6.165950-2 5.345350-2 7.498942-2 3.110771-2 9.332543-2 1.684863-2 1.148154-1 9.355156-3 2.137962-1 1.580882-3 2.600160-1 9.083272-4 3.054921-1 5.795679-4 3.507519-1 3.969654-4 4.000000-1 2.790600-4 4.518559-1 2.027971-4 5.011872-1 1.556363-4 5.559043-1 1.202680-4 6.165950-1 9.361168-5 6.839117-1 7.342739-5 7.585776-1 5.805032-5 8.413951-1 4.626333-5 9.225714-1 3.807787-5 1.011579+0 3.156218-5 1.161449+0 2.399432-5 1.288250+0 1.970210-5 1.462177+0 1.558544-5 1.603245+0 1.322502-5 1.798871+0 1.084936-5 2.044000+0 8.777700-6 2.317395+0 7.182399-6 2.630268+0 5.910213-6 3.019952+0 4.814472-6 3.507519+0 3.885597-6 4.120975+0 3.110168-6 4.841724+0 2.508206-6 5.754399+0 2.007881-6 7.000000+0 1.571800-6 8.511380+0 1.241148-6 1.059254+1 9.598207-7 1.364583+1 7.187963-7 1.800000+1 5.284300-7 2.454709+1 3.774714-7 3.427678+1 2.646849-7 5.559043+1 1.598604-7 9.015711+1 9.731540-8 1.798871+2 4.827443-8 3.589219+2 2.406314-8 1.428894+3 6.020955-9 1.000000+5 8.59310-11 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 5.970000-6 5.970000-6 1.000000+5 5.970000-6 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 5.970000-6 0.0 1.000000+5 1.000000+5 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 9.916400-8 1.028750+0 9.916400-7 1.029500+0 1.357090-6 1.030100+0 1.706700-6 1.031000+0 2.335350-6 1.032000+0 3.195340-6 1.033200+0 4.476130-6 1.034000+0 5.494860-6 1.035300+0 7.458500-6 1.036640+0 9.916400-6 1.038200+0 1.338250-5 1.039700+0 1.738650-5 1.041500+0 2.313260-5 1.043800+0 3.210880-5 1.046400+0 4.467340-5 1.048300+0 5.561950-5 1.051200+0 7.544670-5 1.054080+0 9.916400-5 1.057700+0 1.351670-4 1.061100+0 1.758190-4 1.065100+0 2.327660-4 1.070400+0 3.247340-4 1.076200+0 4.487820-4 1.080600+0 5.604560-4 1.087100+0 7.551160-4 1.093710+0 9.916400-4 1.102600+0 1.374850-3 1.110700+0 1.793000-3 1.120600+0 2.398350-3 1.133300+0 3.334520-3 1.147500+0 4.603750-3 1.158200+0 5.721280-3 1.174100+0 7.647170-3 1.190110+0 9.916400-3 1.205100+0 1.234680-2 1.227500+0 1.652830-2 1.250000+0 2.135000-2 1.265600+0 2.501840-2 1.294900+0 3.255310-2 1.331800+0 4.307400-2 1.362600+0 5.259030-2 1.397000+0 6.388810-2 1.455800+0 8.464960-2 1.500000+0 1.015000-1 1.589800+0 1.394210-1 1.665000+0 1.748540-1 1.784700+0 2.371360-1 1.892300+0 2.976390-1 2.000000+0 3.602000-1 2.044000+0 3.858000-1 2.163500+0 4.560590-1 2.372600+0 5.808130-1 2.647100+0 7.446540-1 3.000000+0 9.505000-1 3.437500+0 1.193130+0 4.000000+0 1.484000+0 4.750000+0 1.838730+0 5.000000+0 1.949000+0 6.000000+0 2.354000+0 7.000000+0 2.716000+0 8.000000+0 3.041000+0 9.000000+0 3.336000+0 1.000000+1 3.607000+0 1.100000+1 3.854000+0 1.200000+1 4.082000+0 1.300000+1 4.292000+0 1.400000+1 4.485000+0 1.500000+1 4.664000+0 1.600000+1 4.833000+0 1.800000+1 5.139000+0 2.000000+1 5.415000+0 2.200000+1 5.666000+0 2.400000+1 5.893000+0 2.600000+1 6.101000+0 2.800000+1 6.291000+0 3.000000+1 6.466000+0 4.000000+1 7.178000+0 5.000000+1 7.705000+0 6.000000+1 8.116000+0 8.000000+1 8.723000+0 1.000000+2 9.154000+0 1.500000+2 9.840000+0 2.000000+2 1.025000+1 3.000000+2 1.073000+1 4.000000+2 1.101000+1 5.000000+2 1.119000+1 6.000000+2 1.132000+1 8.000000+2 1.149000+1 1.000000+3 1.160000+1 1.500000+3 1.176000+1 2.000000+3 1.185000+1 3.000000+3 1.195000+1 4.000000+3 1.200000+1 5.000000+3 1.203000+1 6.000000+3 1.205000+1 8.000000+3 1.208000+1 1.000000+4 1.210000+1 1.500000+4 1.213000+1 2.000000+4 1.214000+1 3.000000+4 1.216000+1 4.000000+4 1.216000+1 5.000000+4 1.217000+1 6.000000+4 1.217000+1 8.000000+4 1.218000+1 1.000000+5 1.218000+1 1 42000 7 8 9.594000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 4.216030-7 2.106600+0 1.373630-6 2.114000+0 1.900590-6 2.119500+0 2.366220-6 2.127900+0 3.209040-6 2.136250+0 4.216030-6 2.147000+0 5.780470-6 2.156900+0 7.508140-6 2.169000+0 1.002010-5 2.184500+0 1.392830-5 2.201800+0 1.927010-5 2.214800+0 2.400910-5 2.234200+0 3.229650-5 2.253680+0 4.216030-5 2.281500+0 5.905290-5 2.307000+0 7.756580-5 2.338200+0 1.042940-4 2.377400+0 1.444350-4 2.410200+0 1.836960-4 2.446800+0 2.336720-4 2.485900+0 2.942060-4 2.532900+0 3.765210-4 2.556430+0 4.216030-4 2.611900+0 5.375920-4 2.660400+0 6.499210-4 2.745300+0 8.698810-4 2.809000+0 1.053480-3 2.904500+0 1.357150-3 3.000000+0 1.694000-3 3.125000+0 2.184300-3 3.234400+0 2.657720-3 3.425800+0 3.578770-3 3.569300+0 4.339440-3 3.784700+0 5.578150-3 4.000000+0 6.910000-3 4.250000+0 8.538740-3 4.625000+0 1.109900-2 5.000000+0 1.376000-2 5.500000+0 1.741010-2 6.000000+0 2.111000-2 6.750000+0 2.662450-2 7.000000+0 2.844000-2 8.000000+0 3.554000-2 9.000000+0 4.233000-2 1.000000+1 4.878000-2 1.100000+1 5.489000-2 1.200000+1 6.065000-2 1.300000+1 6.608000-2 1.400000+1 7.125000-2 1.500000+1 7.615000-2 1.600000+1 8.080000-2 1.800000+1 8.942000-2 2.000000+1 9.726000-2 2.200000+1 1.044000-1 2.400000+1 1.110000-1 2.600000+1 1.171000-1 2.800000+1 1.228000-1 3.000000+1 1.281000-1 4.000000+1 1.499000-1 5.000000+1 1.665000-1 6.000000+1 1.796000-1 8.000000+1 1.995000-1 1.000000+2 2.140000-1 1.500000+2 2.381000-1 2.000000+2 2.533000-1 3.000000+2 2.718000-1 4.000000+2 2.830000-1 5.000000+2 2.907000-1 6.000000+2 2.963000-1 8.000000+2 3.041000-1 1.000000+3 3.093000-1 1.500000+3 3.171000-1 2.000000+3 3.215000-1 3.000000+3 3.263000-1 4.000000+3 3.291000-1 5.000000+3 3.308000-1 6.000000+3 3.321000-1 8.000000+3 3.337000-1 1.000000+4 3.347000-1 1.500000+4 3.361000-1 2.000000+4 3.370000-1 3.000000+4 3.377000-1 4.000000+4 3.382000-1 5.000000+4 3.385000-1 6.000000+4 3.387000-1 8.000000+4 3.389000-1 1.000000+5 3.391000-1 1 42000 7 8 9.594000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 42000 7 9 9.594000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 4.200000+1 1.000000+5 4.200000+1 5.000000+5 4.198600+1 7.187500+5 4.197150+1 9.062500+5 4.196110+1 1.000000+6 4.195400+1 1.250000+6 4.192830+1 1.500000+6 4.190200+1 2.000000+6 4.182700+1 2.375000+6 4.175750+1 2.500000+6 4.173200+1 3.000000+6 4.161800+1 3.500000+6 4.148340+1 4.000000+6 4.133500+1 4.500000+6 4.116930+1 5.000000+6 4.099100+1 5.500000+6 4.079550+1 6.156200+6 4.051900+1 6.500000+6 4.036580+1 6.718700+6 4.026950+1 7.000000+6 4.014100+1 7.500000+6 3.990510+1 8.250000+6 3.953430+1 8.500000+6 3.941020+1 9.000000+6 3.915500+1 1.000000+7 3.862700+1 1.125000+7 3.795230+1 1.187500+7 3.760930+1 1.250000+7 3.726700+1 1.437500+7 3.622510+1 1.500000+7 3.587900+1 1.750000+7 3.450200+1 2.000000+7 3.315600+1 2.250000+7 3.184990+1 2.375000+7 3.121410+1 2.500000+7 3.059800+1 2.875000+7 2.883730+1 3.000000+7 2.828800+1 3.500000+7 2.625840+1 4.000000+7 2.450600+1 4.500000+7 2.299270+1 5.000000+7 2.168200+1 5.500000+7 2.052940+1 5.750000+7 1.999840+1 6.000000+7 1.949400+1 6.750000+7 1.808180+1 7.000000+7 1.763700+1 7.500000+7 1.677070+1 8.000000+7 1.593200+1 8.500000+7 1.511760+1 9.000000+7 1.432900+1 9.750000+7 1.319820+1 1.000000+8 1.283700+1 1.062500+8 1.196920+1 1.156300+8 1.078420+1 1.187500+8 1.042360+1 1.250000+8 9.749700+0 1.437500+8 8.114840+0 1.500000+8 7.694000+0 1.617200+8 7.047420+0 1.750000+8 6.477310+0 1.753900+8 6.462690+0 1.877000+8 6.044100+0 2.000000+8 5.698200+0 2.250000+8 5.143010+0 2.375000+8 4.913000+0 2.500000+8 4.704300+0 2.671900+8 4.436430+0 2.789100+8 4.251320+0 2.894500+8 4.076570+0 3.000000+8 3.891100+0 3.125000+8 3.660720+0 3.359400+8 3.264650+0 3.500000+8 3.078000+0 3.625000+8 2.949260+0 3.859400+8 2.741410+0 3.953100+8 2.655600+0 4.000000+8 2.610000+0 4.121100+8 2.483460+0 4.231000+8 2.353620+0 4.371900+8 2.201450+0 4.750000+8 1.858690+0 4.798100+8 1.820870+0 4.932700+8 1.720930+0 5.000000+8 1.674000+0 5.179700+8 1.577270+0 5.330100+8 1.511360+0 5.569300+8 1.426300+0 5.892300+8 1.335830+0 6.000000+8 1.309300+0 6.500000+8 1.202410+0 6.875000+8 1.138760+0 7.000000+8 1.120600+0 8.000000+8 1.002900+0 8.250000+8 9.735060-1 8.687500+8 9.204730-1 9.015600+8 8.806270-1 9.507800+8 8.224350-1 1.000000+9 7.675000-1 1.062500+9 7.033670-1 1.141100+9 6.307080-1 1.206900+9 5.757280-1 1.280200+9 5.199310-1 1.335100+9 4.815560-1 1.375000+9 4.553130-1 1.417600+9 4.287950-1 1.500000+9 3.815200-1 1.589800+9 3.355340-1 1.665000+9 3.013190-1 1.748800+9 2.675020-1 1.838500+9 2.358330-1 1.946200+9 2.032740-1 2.000000+9 1.890000-1 2.139200+9 1.572200-1 2.272600+9 1.325810-1 2.443000+9 1.075250-1 2.602800+9 8.906490-2 2.825100+9 6.938190-2 3.097000+9 5.204770-2 3.438900+9 3.719730-2 3.725100+9 2.863540-2 4.180400+9 1.950520-2 4.726800+9 1.287330-2 5.000000+9 1.062800-2 5.750000+9 6.576680-3 8.000000+9 2.096100-3 1.00000+10 9.687500-4 1.20500+10 5.119340-4 1.41820+10 2.950510-4 1.71170+10 1.572320-4 2.01490+10 9.159850-5 2.26440+10 6.240800-5 2.74790+10 3.320670-5 3.20120+10 2.027120-5 4.05100+10 9.536880-6 4.79460+10 5.585230-6 6.09600+10 2.621680-6 8.04800+10 1.101690-6 1.00000+11 5.622100-7 1.34280+11 2.269870-7 1.77440+11 9.685600-8 2.63330+11 2.925950-8 3.75720+11 1.004700-8 6.61190+11 1.864500-9 1.48990+12 1.70511-10 4.26460+12 8.02561-12 1.00000+14 9.44590-16 5.62340+14 6.52381-18 7.49890+15 3.52724-21 1.00000+17 1.83620-24 1 42000 7 0 9.594000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 6.50000-12 1.000000+2 6.50000-10 1.000000+3 6.500000-8 1.000000+4 6.500000-6 1.000000+5 6.500000-4 5.000000+5 1.625000-2 7.187500+5 3.357910-2 9.062500+5 5.338379-2 1.000000+6 6.500000-2 1.250000+6 1.007930-1 1.500000+6 1.439000-1 2.000000+6 2.521000-1 2.375000+6 3.508120-1 2.500000+6 3.868000-1 3.000000+6 5.448000-1 3.500000+6 7.228540-1 4.000000+6 9.177000-1 4.500000+6 1.125830+0 5.000000+6 1.344000+0 5.500000+6 1.569090+0 6.156200+6 1.871220+0 6.500000+6 2.031100+0 6.718700+6 2.132920+0 7.000000+6 2.264100+0 7.500000+6 2.496120+0 8.250000+6 2.841290+0 8.500000+6 2.955220+0 9.000000+6 3.181300+0 1.000000+7 3.625000+0 1.125000+7 4.164990+0 1.187500+7 4.430070+0 1.250000+7 4.692500+0 1.437500+7 5.465790+0 1.500000+7 5.720000+0 1.750000+7 6.719700+0 2.000000+7 7.690000+0 2.250000+7 8.627090+0 2.375000+7 9.083570+0 2.500000+7 9.532400+0 2.875000+7 1.083650+1 3.000000+7 1.126000+1 3.500000+7 1.289730+1 4.000000+7 1.444000+1 4.500000+7 1.587810+1 5.000000+7 1.719600+1 5.500000+7 1.838510+1 5.750000+7 1.893320+1 6.000000+7 1.945500+1 6.750000+7 2.086780+1 7.000000+7 2.130000+1 7.500000+7 2.211250+1 8.000000+7 2.287700+1 8.500000+7 2.359930+1 9.000000+7 2.428800+1 9.750000+7 2.526770+1 1.000000+8 2.558100+1 1.062500+8 2.633660+1 1.156300+8 2.739660+1 1.187500+8 2.773280+1 1.250000+8 2.837800+1 1.437500+8 3.010630+1 1.500000+8 3.062000+1 1.617200+8 3.150010+1 1.750000+8 3.239080+1 1.753900+8 3.241550+1 1.877000+8 3.314840+1 2.000000+8 3.380800+1 2.250000+8 3.495370+1 2.375000+8 3.544860+1 2.500000+8 3.590100+1 2.671900+8 3.646160+1 2.789100+8 3.680750+1 2.894500+8 3.709800+1 3.000000+8 3.737000+1 3.125000+8 3.766310+1 3.359400+8 3.815690+1 3.500000+8 3.841500+1 3.625000+8 3.862380+1 3.859400+8 3.896670+1 3.953100+8 3.908950+1 4.000000+8 3.915000+1 4.121100+8 3.928890+1 4.231000+8 3.941190+1 4.371900+8 3.954920+1 4.750000+8 3.987500+1 4.798100+8 3.990990+1 4.932700+8 4.000520+1 5.000000+8 4.005200+1 5.179700+8 4.016390+1 5.330100+8 4.025050+1 5.569300+8 4.037770+1 5.892300+8 4.052980+1 6.000000+8 4.057800+1 6.500000+8 4.077160+1 6.875000+8 4.090450+1 7.000000+8 4.094500+1 8.000000+8 4.122100+1 8.250000+8 4.127620+1 8.687500+8 4.136900+1 9.015600+8 4.143190+1 9.507800+8 4.151470+1 1.000000+9 4.158700+1 1.062500+9 4.166260+1 1.141100+9 4.173620+1 1.206900+9 4.178630+1 1.280200+9 4.183170+1 1.335100+9 4.186020+1 1.375000+9 4.187530+1 1.417600+9 4.189100+1 1.500000+9 4.192000+1 1.589800+9 4.193650+1 1.665000+9 4.194970+1 1.748800+9 4.196370+1 1.838500+9 4.197090+1 1.946200+9 4.197910+1 2.000000+9 4.198300+1 2.139200+9 4.198720+1 2.272600+9 4.199100+1 2.443000+9 4.199560+1 2.602800+9 4.199950+1 2.825100+9 4.200290+1 3.097000+9 4.200240+1 3.438900+9 4.200190+1 3.725100+9 4.200150+1 4.180400+9 4.200090+1 4.726800+9 4.200030+1 5.000000+9 4.200000+1 5.750000+9 4.200000+1 8.000000+9 4.200000+1 1.00000+10 4.200000+1 1.20500+10 4.200000+1 1.41820+10 4.200000+1 1.71170+10 4.200000+1 2.01490+10 4.200000+1 2.26440+10 4.200000+1 2.74790+10 4.200000+1 3.20120+10 4.200000+1 4.05100+10 4.200000+1 4.79460+10 4.200000+1 6.09600+10 4.200000+1 8.04800+10 4.200000+1 1.00000+11 4.200000+1 1.34280+11 4.200000+1 1.77440+11 4.200000+1 2.63330+11 4.200000+1 3.75720+11 4.200000+1 6.61190+11 4.200000+1 1.48990+12 4.200000+1 4.26460+12 4.200000+1 1.00000+14 4.200000+1 5.62340+14 4.200000+1 7.49890+15 4.200000+1 1.00000+17 4.200000+1 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.004072-6 1.946761-9 1.006537-6 3.852102-9 1.009003-6 7.036180-9 1.011468-6 1.186397-8 1.013933-6 1.846617-8 1.016399-6 2.653245-8 1.018864-6 3.519103-8 1.021329-6 4.308643-8 1.023795-6 4.869707-8 1.026260-6 5.080649-8 1.028725-6 4.893160-8 1.031191-6 4.350244-8 1.033656-6 3.570194-8 1.038587-6 1.891516-8 1.041052-6 1.221097-8 1.043517-6 7.276864-9 1.045983-6 4.003063-9 1.048448-6 2.032799-9 1.050913-6 0.0 2.735821-6 0.0 2.747606-6 1.699127+0 2.749289-6 1.939383+0 2.756023-6 3.542441+0 2.762757-6 5.973043+0 2.770332-6 9.803553+0 2.781064-6 1.648915+1 2.790534-6 2.204469+1 2.796426-6 2.451707+1 2.803581-6 2.552951+1 2.817838-6 2.362565+1 2.823362-6 2.198142+1 2.830741-6 2.085150+1 2.837655-6 2.182537+1 2.844570-6 2.536147+1 2.852905-6 3.268206+1 2.865315-6 4.525101+1 2.873192-6 5.013898+1 2.878831-6 5.170512+1 2.886060-6 4.937532+1 2.893582-6 4.292156+1 2.904468-6 2.974795+1 2.913084-6 1.928265+1 2.919999-6 1.244821+1 2.926914-6 7.418240+0 2.933829-6 4.080835+0 2.944201-6 1.037365+0 2.947659-6 0.0 3.496859-6 0.0 3.512390-6 1.91043-13 3.514073-6 2.11547-13 3.522680-6 3.86408-13 3.531288-6 6.51536-13 3.539895-6 1.01411-12 3.554688-6 1.79863-12 3.566887-6 2.40802-12 3.570399-6 2.53366-12 3.587975-6 1.086404+0 3.596763-6 1.984405+0 3.606101-6 3.462091+0 3.615066-6 5.398803+0 3.642043-6 1.239219+1 3.650669-6 1.381349+1 3.659013-6 1.428489+1 3.667875-6 1.365987+1 3.677435-6 1.187442+1 3.691270-6 8.229885+0 3.702220-6 5.334620+0 3.711009-6 3.443845+0 3.719797-6 2.052285+0 3.728585-6 1.128979+0 3.737418-6 5.703506-1 3.746161-6 3.006128-1 3.755817-6 6.259677-1 3.765303-6 1.167840+0 3.774642-6 1.977549+0 3.784406-6 3.141784+0 3.808528-6 6.650926+0 3.821209-6 8.013750+0 3.830589-6 8.341971+0 3.840794-6 7.980793+0 3.850960-6 7.047847+0 3.875406-6 4.123611+0 3.884605-6 3.275926+0 3.893804-6 2.654307+0 3.903003-6 2.204359+0 3.914150-6 1.768859+0 3.921402-6 1.379028+0 3.932911-6 1.100525+0 3.951671-6 5.830668-1 3.961051-6 3.764076-1 3.970431-6 2.243120-1 3.979812-6 1.233959-1 3.989192-6 6.266179-2 3.998572-6 0.0 4.421413-6 0.0 4.424311-6 4.918046-7 4.441088-6 7.502730-6 4.463009-6 6.348997-2 4.473994-6 1.993659-1 4.484979-6 3.607387-1 4.496651-6 6.271467-1 4.507725-6 9.755622-1 4.529108-6 1.838665+0 4.541123-6 2.343586+0 4.552686-6 2.703954+0 4.562888-6 2.877026+0 4.574451-6 2.844414+0 4.585522-6 2.606981+0 4.601272-6 2.019292+0 4.620329-6 1.211414+0 4.628185-6 9.101912-1 4.639067-6 5.776259-1 4.649756-6 3.409919-1 4.659712-6 1.839940-1 4.660741-6 1.708722-1 4.671726-6 8.677110-2 4.682711-6 5.404001-7 4.693137-6 5.218609-7 4.704384-6 4.639583-7 4.715631-6 3.807651-7 4.738125-6 2.017323-7 4.749372-6 1.302313-7 4.760619-6 7.760855-8 4.771866-6 4.269310-8 4.783113-6 2.168003-8 4.794360-6 0.0 4.809978-6 0.0 4.821818-6 1.133682-8 4.833657-6 2.243245-8 4.845496-6 4.097470-8 4.857335-6 6.908898-8 4.869174-6 1.075364-7 4.881013-6 1.545099-7 4.892853-6 2.049325-7 4.904692-6 2.509108-7 4.916531-6 2.835840-7 4.928370-6 2.958680-7 4.940209-6 2.849498-7 4.952048-6 2.533334-7 4.963887-6 2.079077-7 4.987566-6 1.101511-7 4.999405-6 7.110973-8 5.011244-6 4.237631-8 5.023083-6 2.331155-8 5.035771-6 1.099128-8 5.037137-6 8.172840-8 5.041090-6 5.971798-7 5.050469-6 5.353412-3 5.065906-6 3.892376-2 5.075331-6 6.267923-2 5.078314-6 7.336115-2 5.087762-6 1.117905-1 5.100193-6 1.842778-1 5.112625-6 2.807442-1 5.140354-6 5.397698-1 5.152762-6 6.363365-1 5.165170-6 6.937547-1 5.174780-6 7.053544-1 5.187211-6 6.690783-1 5.205158-6 5.368395-1 5.224504-6 3.582245-1 5.239618-6 3.286293-1 5.249763-6 3.241371-1 5.262622-6 3.992399-1 5.275480-6 5.700439-1 5.290656-6 8.928464-1 5.327728-6 1.914727+0 5.340767-6 2.163923+0 5.353879-6 2.253215+0 5.367122-6 2.166855+0 5.383608-6 1.855227+0 5.416922-6 1.026876+0 5.429780-6 7.743966-1 5.442695-6 5.875848-1 5.456091-6 5.013597-1 5.478675-6 4.297658-1 5.481213-6 4.231880-1 5.497284-6 5.340756-1 5.512034-6 6.972877-1 5.526802-6 9.186473-1 5.549867-6 1.312674+0 5.563263-6 1.498859+0 5.576660-6 1.600216+0 5.591731-6 1.575326+0 5.605128-6 1.450755+0 5.620444-6 1.211158+0 5.645604-6 7.544233-1 5.658249-6 5.549102-1 5.670436-6 4.025687-1 5.683832-6 2.864327-1 5.699826-6 1.999872-1 5.710625-6 1.482555-1 5.735039-6 1.310064-1 5.763733-6 1.278609-1 5.792106-6 1.624999-1 5.807740-6 1.960876-1 5.812457-6 2.134087-1 5.823141-6 2.732885-1 5.840204-6 3.885736-1 5.857432-6 5.506056-1 5.898787-6 1.027198+0 5.913803-6 1.167898+0 5.928872-6 1.251963+0 5.943438-6 1.261674+0 5.957750-6 1.199721+0 5.976269-6 1.027280+0 6.009487-6 6.239046-1 6.025669-6 4.561491-1 6.040790-6 3.358174-1 6.048628-6 2.993105-1 6.055734-6 2.837012-1 6.064208-6 2.815694-1 6.070644-6 2.910861-1 6.082601-6 3.319342-1 6.089091-6 3.604720-1 6.098439-6 4.231226-1 6.116312-6 6.128784-1 6.152942-6 1.078651+0 6.162797-6 1.207611+0 6.183970-6 1.403830+0 6.197027-6 1.464636+0 6.213815-6 1.443281+0 6.229368-6 1.340424+0 6.250550-6 1.117046+0 6.276562-6 8.002714-1 6.290418-6 6.598393-1 6.301630-6 5.719859-1 6.312643-6 5.273204-1 6.323583-6 5.101256-1 6.335108-6 5.199449-1 6.348309-6 5.630609-1 6.366099-6 6.448073-1 6.416159-6 9.158251-1 6.448101-6 1.039027+0 6.473955-6 1.071435+0 6.506508-6 1.016113+0 6.547951-6 8.974803-1 6.581383-6 8.978478-1 6.632085-6 9.623813-1 6.665209-6 9.741308-1 6.730732-6 9.294151-1 6.803827-6 9.704810-1 6.879039-6 1.031929+0 8.830434-6 1.808118+0 1.176238-5 3.150887+0 1.690412-5 5.869720+0 2.066972-5 7.752036+0 2.317395-5 8.605395+0 2.570396-5 8.946311+0 2.843413-5 8.727871+0 3.259088-5 7.586392+0 3.461168-5 6.872767+0 3.478206-5 7.838891+0 3.485226-5 8.512716+0 3.498814-5 1.799006+1 3.502382-5 2.062409+1 3.510961-5 3.035192+1 3.519539-5 4.422940+1 3.530386-5 6.783808+1 3.546360-5 1.071193+2 3.555412-5 1.254714+2 3.564777-5 1.361748+2 3.573242-5 1.368747+2 3.581703-5 1.284148+2 3.591487-5 1.094423+2 3.609722-5 6.641318+1 3.615579-5 5.389922+1 3.623033-5 4.074265+1 3.631552-5 2.976543+1 3.639638-5 2.309322+1 3.650941-5 1.707572+1 3.656794-5 1.352965+1 3.666522-5 1.264963+1 3.692819-5 8.868087+0 3.701585-5 7.831504+0 3.710350-5 7.061002+0 3.720033-5 6.546509+0 3.738345-5 1.113079+1 3.747644-5 1.552584+1 3.757354-5 2.261138+1 3.767092-5 3.239281+1 3.793563-5 6.410332+1 3.803221-5 7.156967+1 3.812420-5 7.382700+1 3.821447-5 7.088254+1 3.831190-5 6.262643+1 3.857655-5 3.128331+1 3.867057-5 2.256497+1 3.875542-5 1.683338+1 3.884698-5 1.292078+1 3.902042-5 8.583057+0 3.903010-5 8.326184+0 3.914070-5 8.485936+0 3.923473-5 8.335277+0 3.932875-5 7.958871+0 3.961961-5 6.419646+0 3.971278-5 6.099131+0 3.979888-5 5.955892+0 3.989290-5 5.965918+0 4.008096-5 6.316478+0 4.031413-5 7.056016+0 4.050541-5 7.322632+0 4.116191-5 7.264195+0 4.207149-5 6.910975+0 4.263338-5 7.197037+0 4.305953-5 7.657063+0 4.379327-5 7.643952+0 5.055524-5 5.074528+0 5.374608-5 4.089901+0 5.760000-5 3.143806+0 6.095470-5 2.509305+0 6.491124-5 1.945214+0 6.562183-5 1.949066+0 6.634634-5 2.088720+0 6.666586-5 2.067814+0 6.747404-5 1.796366+0 6.787083-5 1.745835+0 6.875788-5 1.716113+0 7.245246-5 1.462187+0 7.640759-5 1.280327+0 8.020590-5 1.167867+0 8.474844-5 1.092670+0 9.120108-5 1.061652+0 9.900000-5 1.095860+0 1.141009-4 1.262004+0 1.477666-4 1.657196+0 1.762324-4 1.868827+0 2.203156-4 2.028603+0 2.283182-4 2.041861+0 2.305752-4 2.124980+0 2.328802-4 2.393226+0 2.356325-4 2.726998+0 2.385161-4 2.901573+0 2.428124-4 3.003885+0 2.456835-4 3.232741+0 2.483133-4 3.627211+0 2.506750-4 4.185212+0 2.535481-4 5.153291+0 2.574995-4 6.932124+0 2.680000-4 1.219001+1 2.770350-4 1.579168+1 2.856500-4 1.828645+1 2.940000-4 1.988510+1 3.090296-4 2.136502+1 3.450116-4 2.259278+1 3.756590-4 2.238295+1 3.785176-4 2.314338+1 3.803280-4 2.435141+1 3.841068-4 2.759271+1 3.859537-4 2.763248+1 3.905380-4 2.461122+1 3.942778-4 2.407332+1 4.029526-4 2.645008+1 4.109138-4 2.485072+1 4.636423-4 2.363656+1 4.854764-4 2.307788+1 4.958068-4 2.353365+1 6.721425-4 1.788467+1 8.000645-4 1.474216+1 9.372922-4 1.219512+1 1.076639-3 1.023808+1 1.230269-3 8.596787+0 1.437438-3 6.958430+0 1.651675-3 5.728012+0 1.904818-3 4.666057+0 2.175539-3 3.838017+0 2.453918-3 3.212058+0 2.466271-3 3.480719+0 2.472334-3 3.731211+0 2.478408-3 4.136590+0 2.484812-3 4.771844+0 2.493570-3 5.995422+0 2.515020-3 9.574730+0 2.525647-3 1.068563+1 2.536405-3 1.114584+1 2.575035-3 1.094839+1 2.592408-3 1.150980+1 2.630268-3 1.404026+1 2.650618-3 1.436026+1 2.805391-3 1.327179+1 2.874353-3 1.437698+1 3.467731-3 1.096882+1 3.989995-3 8.831166+0 4.586737-3 7.085015+0 5.297992-3 5.609410+0 6.042963-3 4.511410+0 6.918522-3 3.591290+0 7.829325-3 2.909020+0 8.748000-3 2.400562+0 9.875672-3 1.943447+0 1.108300-2 1.585769+0 1.246083-2 1.288124+0 1.390089-2 1.059242+0 1.556252-2 8.637377-1 1.749249-2 6.983457-1 1.939611-2 5.789700-1 1.953453-2 5.863735-1 1.960585-2 6.178389-1 1.965558-2 6.680686-1 1.969632-2 7.369527-1 1.974082-2 8.504251-1 1.979356-2 1.047112+0 1.985531-2 1.368220+0 1.995530-2 2.040391+0 2.005341-2 2.704873+0 2.015000-2 3.178716+0 2.025845-2 3.441516+0 2.043318-2 3.514420+0 2.371374-2 2.772093+0 2.729207-2 2.200177+0 3.087726-2 1.785363+0 3.460161-2 1.464807+0 3.900681-2 1.188017+0 4.349673-2 9.773163-1 4.909890-2 7.853289-1 5.409031-2 6.568921-1 5.957363-2 5.498197-1 6.693936-2 4.415147-1 7.465962-2 3.595038-1 8.331929-2 2.914604-1 9.246290-2 2.386578-1 1.026302-1 1.950945-1 1.137745-1 1.597605-1 1.272975-1 1.285037-1 1.408541-1 1.055537-1 1.548381-1 8.785575-2 1.729838-1 7.090178-2 1.899429-1 5.917743-2 2.137962-1 4.718609-2 2.372654-1 3.869157-2 2.625289-1 3.204523-2 2.902770-1 2.663017-2 3.237476-1 2.186274-2 3.589219-1 1.824490-2 4.007297-1 1.511320-2 4.474677-1 1.260137-2 5.020670-1 1.050439-2 5.721370-1 8.633132-3 6.526607-1 7.177430-3 7.498942-1 5.987338-3 8.511380-1 5.135998-3 9.800540-1 4.399508-3 1.173413+0 3.631932-3 1.410753+0 2.980593-3 1.696098+0 2.446063-3 2.039158+0 2.007394-3 2.451607+0 1.647394-3 2.947480+0 1.351956-3 3.543651+0 1.109500-3 4.260405+0 9.105260-4 5.122134+0 7.472352-4 6.158159+0 6.132284-4 7.403736+0 5.032539-4 8.901248+0 4.130020-4 9.760024+0 3.741404-4 1.000000+1 7.568636-4 1 42000 7 0 9.594000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-4.184121+1 2.198935-6-4.035395+1 2.518311-6-3.806331+1 2.641826-6-3.518755+1 2.696097-6-3.215868+1 2.724360-6-2.896875+1 2.735821-6-2.646433+1 2.756023-6-2.076252+1 2.765072-6-1.817170+1 2.771805-6-1.695643+1 2.779171-6-1.689226+1 2.782958-6-1.752476+1 2.788851-6-1.932627+1 2.796426-6-2.312086+1 2.806594-6-2.866430+1 2.819737-6-3.237716+1 2.827972-6-3.166962+1 2.837237-6-2.817080+1 2.846042-6-2.507686+1 2.852905-6-2.478977+1 2.858209-6-2.656395+1 2.863113-6-2.984363+1 2.871477-6-3.927094+1 2.873358-6-4.194842+1 2.877555-6-3.665564+1 2.887532-6-2.143557+1 2.893582-6-1.408432+1 2.896064-6-1.176038+1 2.900119-6-8.688664+0 2.902766-6-7.284647+0 2.904468-6-6.638980+0 2.906170-6-6.215231+0 2.909195-6-5.805361+0 2.911140-6-5.762924+0 2.912112-6-5.839406+0 2.918271-6-7.266566+0 2.919999-6-7.987132+0 2.926158-6-1.063790+1 2.936206-6-1.569493+1 2.947227-6-2.038203+1 2.950336-6-2.207688+1 2.960928-6-2.532473+1 2.979509-6-2.868078+1 3.011003-6-3.192672+1 3.075208-6-3.526362+1 3.218375-6-3.840895+1 3.516225-6-4.201548+1 3.569082-6-3.954872+1 3.615066-6-3.527167+1 3.632064-6-3.622326+1 3.647135-6-3.965717+1 3.655594-6-4.215325+1 3.676405-6-3.544685+1 3.691270-6-3.314117+1 3.706614-6-3.330872+1 3.774642-6-4.165478+1 3.800434-6-4.227223+1 3.822274-6-3.982464+1 3.852488-6-3.522131+1 3.875406-6-3.427704+1 4.039895-6-3.809910+1 4.473994-6-4.119881+1 4.537242-6-4.147074+1 4.612289-6-3.846985+1 4.821818-6-4.023304+1 5.177888-6-4.119521+1 5.326913-6-4.187144+1 5.407507-6-4.000243+1 5.549867-6-4.124222+1 5.655088-6-4.005052+1 5.906295-6-4.153625+1 6.025669-6-4.083267+1 6.162797-6-4.174919+1 6.290418-6-4.087150+1 6.473955-6-4.139331+1 1.510705-5-4.248863+1 2.201331-5-4.071509+1 2.781681-5-3.451869+1 3.071892-5-2.973519+1 3.216196-5-2.568967+1 3.290362-5-2.237105+1 3.345202-5-1.867520+1 3.382784-5-1.495976+1 3.408657-5-1.138479+1 3.425990-5-8.213609+0 3.434235-5-6.380920+0 3.440968-5-4.675239+0 3.446018-5-3.242936+0 3.449805-5-2.063642+0 3.452646-5-1.108992+0 3.456907-5 4.614675-1 3.459037-5 1.326861+0 3.461168-5 2.288488+0 3.465427-5 4.288740+0 3.469687-5 6.391631+0 3.473947-5 8.742409+0 3.478206-5 1.150995+1 3.481716-5 1.421261+1 3.484787-5 1.719087+1 3.486725-5 1.962106+1 3.488855-5 2.166335+1 3.501490-5 3.216193+1 3.512033-5 4.204866+1 3.520762-5 4.827069+1 3.524507-5 4.952533+1 3.532383-5 4.937728+1 3.538464-5 4.541398+1 3.542974-5 4.030064+1 3.546360-5 3.476000+1 3.551685-5 2.414201+1 3.554164-5 1.819878+1 3.555412-5 1.443339+1 3.559405-5 3.737651+0 3.560403-5 9.911793-1 3.561152-5-1.141266+0 3.561714-5-2.798095+0 3.562556-5-5.421827+0 3.563188-5-7.594733+0 3.563794-5-9.978832+0 3.565670-5-1.600745+1 3.570998-5-3.235771+1 3.571507-5-3.413417+1 3.573242-5-2.772178+1 3.575595-5-2.058171+1 3.579832-5-8.308238+0 3.580437-5-6.248448+0 3.580703-5-5.285496+0 3.581219-5-3.675721+0 3.581703-5-2.277786+0 3.582609-5 1.785379-1 3.583403-5 2.206555+0 3.584791-5 5.567660+0 3.588956-5 1.518978+1 3.590520-5 1.866588+1 3.593301-5 2.350923+1 3.597491-5 2.907516+1 3.602407-5 3.348040+1 3.605995-5 3.517349+1 3.612118-5 3.583646+1 3.621169-5 3.185243+1 3.630620-5 2.443777+1 3.632563-5 2.233622+1 3.642852-5 1.374966+1 3.648990-5 9.808962+0 3.650941-5 8.620298+0 3.653868-5 6.580208+0 3.656063-5 4.734556+0 3.656794-5 3.900922+0 3.657402-5 3.191141+0 3.658542-5 2.167281+0 3.660537-5 6.704521-1 3.662033-5-3.170143-1 3.664277-5-1.651531+0 3.666522-5-2.826384+0 3.670904-5-4.934934+0 3.699736-5-1.766804+1 3.714185-5-2.501878+1 3.720033-5-2.894982+1 3.728056-5-3.398993+1 3.738345-5-2.793731+1 3.751057-5-2.009162+1 3.758394-5-1.622509+1 3.767092-5-1.331622+1 3.770940-5-1.300452+1 3.775142-5-1.347907+1 3.780012-5-1.497010+1 3.785911-5-1.812762+1 3.790025-5-2.126467+1 3.793281-5-2.479669+1 3.800796-5-3.399407+1 3.804217-5-2.854851+1 3.810687-5-1.900120+1 3.812420-5-1.576025+1 3.815234-5-1.146861+1 3.819263-5-5.652288+0 3.820270-5-4.055978+0 3.820892-5-2.888685+0 3.821447-5-1.993390+0 3.822486-5-4.802099-1 3.824305-5 1.922038+0 3.829080-5 7.715156+0 3.830248-5 9.333000+0 3.832955-5 1.219923+1 3.837204-5 1.558105+1 3.842274-5 1.846670+1 3.848400-5 2.055618+1 3.852449-5 2.116895+1 3.856353-5 2.104531+1 3.865882-5 1.842768+1 3.873951-5 1.482704+1 3.876687-5 1.325775+1 3.886019-5 8.796369+0 3.891798-5 6.487875+0 3.899138-5 3.850947+0 3.901074-5 3.045299+0 3.902042-5 2.589004+0 3.903938-5 1.468679+0 3.905561-5 7.501152-1 3.907997-5-1.318513-1 3.910432-5-8.711504-1 3.914070-5-1.779428+0 3.918771-5-2.768128+0 3.923473-5-3.611319+0 3.932875-5-5.052774+0 3.989290-5-1.274693+1 4.013945-5-1.517262+1 4.040596-5-1.645440+1 4.159078-5-1.969387+1 4.276664-5-2.217524+1 5.760000-5-2.534395+1 6.666586-5-2.685724+1 9.290000-5-2.941771+1 1.942190-4-3.382446+1 2.238935-4-3.673815+1 2.469500-4-4.160690+1 2.598267-4-4.537142+1 2.725000-4-4.475152+1 3.124724-4-3.590059+1 3.513395-4-3.025151+1 3.794326-4-2.792097+1 3.923904-4-2.819487+1 4.050537-4-2.623709+1 4.394721-4-2.189738+1 4.748597-4-1.909447+1 4.958068-4-1.831271+1 5.110195-4-1.679167+1 5.511248-4-1.437501+1 6.086881-4-1.201218+1 6.721425-4-1.023368+1 7.477864-4-8.783082+0 8.326854-4-7.740654+0 9.372922-4-6.948678+0 1.076639-3-6.417425+0 1.230269-3-6.212117+0 1.437438-3-6.307853+0 1.738003-3-6.924146+0 1.985238-3-7.867493+0 2.175539-3-9.061859+0 2.302320-3-1.036028+1 2.387503-3-1.179267+1 2.440225-3-1.328105+1 2.472334-3-1.492787+1 2.512808-3-1.832924+1 2.527458-3-1.848101+1 2.570369-3-1.573411+1 2.592408-3-1.524286+1 2.624177-3-1.524678+1 2.643816-3-1.451707+1 2.687713-3-1.203111+1 2.726492-3-1.076446+1 2.777640-3-9.835804+0 2.846251-3-9.513782+0 2.888631-3-8.302016+0 2.937032-3-7.123454+0 3.015762-3-5.905423+0 3.110669-3-4.851255+0 3.208116-3-4.024675+0 3.341255-3-3.172377+0 3.467731-3-2.551005+0 3.630781-3-1.943222+0 3.726774-3-1.654239+0 3.889811-3-1.258204+0 4.032925-3-9.790417-1 4.192760-3-7.315533-1 4.314027-3-5.766919-1 4.481323-3-4.000782-1 4.586737-3-3.106453-1 4.735770-3-2.055445-1 4.864378-3-1.324690-1 4.993001-3-7.038206-2 5.069907-3-3.819054-2 5.158222-3-4.707068-3 5.169369-3-1.157737-3 5.198390-3 7.966217-3 5.271492-3 3.032269-2 5.369382-3 5.375397-2 5.477997-3 7.435968-2 5.612549-3 9.369446-2 5.745761-3 1.080208-1 5.905409-3 1.193314-1 6.086603-3 1.265642-1 6.270712-3 1.263754-1 6.513921-3 1.177040-1 6.759177-3 1.024810-1 6.918522-3 8.922325-2 7.169168-3 6.350732-2 7.570008-3 1.496046-2 7.665941-3 2.367053-3 7.697411-3-1.713854-3 7.829325-3-1.803813-2 8.132693-3-5.898174-2 8.748000-3-1.480591-1 1.390089-2-9.176546-1 1.556252-2-1.207087+0 1.686674-2-1.501990+0 1.777491-2-1.788859+0 1.841783-2-2.080670+0 1.886071-2-2.371621+0 1.922573-2-2.735511+0 1.946207-2-3.119101+0 1.962236-2-3.560870+0 1.988027-2-4.543981+0 1.997643-2-4.634097+0 2.007605-2-4.415338+0 2.033125-2-3.326747+0 2.045926-2-2.930210+0 2.063154-2-2.568086+0 2.089296-2-2.193746+0 2.125691-2-1.825478+0 2.167392-2-1.519881+0 2.225871-2-1.204618+0 2.284335-2-9.717949-1 2.349830-2-7.712700-1 2.417623-2-6.092172-1 2.482014-2-4.821122-1 2.568697-2-3.424511-1 2.632162-2-2.602301-1 2.669355-2-2.182186-1 2.729207-2-1.592749-1 2.799157-2-1.002020-1 2.852795-2-6.205986-2 2.935184-2-1.011564-2 2.959150-2 2.513644-3 3.019952-2 3.495380-2 3.087726-2 6.474386-2 3.151249-2 8.796889-2 3.230705-2 1.129207-1 3.301872-2 1.311265-1 3.396537-2 1.517854-1 3.548575-2 1.752409-1 3.734460-2 1.941793-1 4.010551-2 2.095963-1 4.349673-2 2.105762-1 4.909890-2 1.951004-1 7.024370-2 9.397157-2 7.737923-2 6.403165-2 8.331929-2 4.160499-2 8.854230-2 2.383832-2 9.246290-2 1.167212-2 9.447622-2 5.796515-3 9.654503-2 2.079365-5 9.657034-2-4.914918-5 9.869753-2-5.775916-3 1.026302-1-1.592650-2 1.102830-1-3.355247-2 1.189144-1-5.074238-2 1.314825-1-7.160052-2 1.454655-1-9.025516-2 1.665592-1-1.118933-1 1.949825-1-1.326875-1 2.372654-1-1.529459-1 2.996605-1-1.704312-1 4.162699-1-1.862476-1 6.526607-1-1.975381-1 1.490307+0-2.040923-1 4.671441+0-2.055051-1 1.000000+1-2.055605-1 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.279460-3 1.103182-6 1.420558-2 1.173209-6 1.864245-2 1.247680-6 2.464529-2 1.326878-6 3.282449-2 1.411104-6 4.405824-2 1.500676-6 5.961505-2 1.595934-6 8.073266-2 1.645807-6 9.414164-2 1.697238-6 1.101654-1 1.750277-6 1.293882-1 1.803557-6 1.518971-1 1.855173-6 1.772651-1 1.905176-6 2.057353-1 1.953616-6 2.375559-1 2.000543-6 2.730120-1 2.048000-6 3.141756-1 2.090042-6 3.556818-1 2.132705-6 4.035327-1 2.174035-6 4.561374-1 2.214074-6 5.138337-1 2.252861-6 5.772878-1 2.326837-6 7.198795-1 2.362100-6 7.999198-1 2.396261-6 8.867456-1 2.429355-6 9.807758-1 2.461415-6 1.082440+0 2.492473-6 1.192178+0 2.522560-6 1.310447+0 2.551707-6 1.437720+0 2.579943-6 1.574486+0 2.607297-6 1.721252+0 2.659466-6 2.046890+0 2.708427-6 2.419025+0 2.731765-6 2.624083+0 2.754375-6 2.843221+0 2.776277-6 3.077658+0 2.818714-6 3.598969+0 2.858498-6 4.183660+0 2.895796-6 4.838922+0 2.930763-6 5.570839+0 2.963544-6 6.386432+0 2.994276-6 7.292542+0 3.023088-6 8.295843+0 3.050099-6 9.403061+0 3.075422-6 1.062097+1 3.099162-6 1.195644+1 3.121418-6 1.341640+1 3.142284-6 1.500772+1 3.161845-6 1.673714+1 3.180183-6 1.861124+1 3.197376-6 2.063634+1 3.213494-6 2.281848+1 3.228604-6 2.516339+1 3.242771-6 2.767650+1 3.256051-6 3.036296+1 3.268502-6 3.322761+1 3.280175-6 3.627499+1 3.291118-6 3.950941+1 3.301377-6 4.293492+1 3.310995-6 4.655534+1 3.320011-6 5.037420+1 3.328465-6 5.439465+1 3.336390-6 5.861972+1 3.343819-6 6.305267+1 3.350784-6 6.769754+1 3.357314-6 7.255969+1 3.369558-6 8.334075+1 3.380271-6 9.515831+1 3.389645-6 1.080776+2 3.397847-6 1.221038+2 3.405024-6 1.371439+2 3.411304-6 1.529987+2 3.416799-6 1.693876+2 3.421607-6 1.859885+2 3.425814-6 2.024799+2 3.432716-6 2.340277+2 3.442580-6 2.901194+2 3.456326-6 3.921003+2 3.463768-6 4.585224+2 3.470146-6 5.205086+2 3.472272-6 5.419434+2 3.480777-6 6.295804+2 3.481840-6 6.405657+2 3.489282-6 7.157488+2 3.492205-6 7.437866+2 3.497787-6 7.934249+2 3.500710-6 8.168095+2 3.503501-6 8.371002+2 3.506291-6 8.551666+2 3.510012-6 8.754300+2 3.513600-6 8.904696+2 3.516922-6 9.002069+2 3.520909-6 9.063908+2 3.524364-6 9.068707+2 3.528085-6 9.024553+2 3.532337-6 8.915611+2 3.536822-6 8.741556+2 3.542056-6 8.479019+2 3.557430-6 7.615999+2 3.561738-6 7.439763+2 3.565270-6 7.346714+2 3.568653-6 7.313197+2 3.571719-6 7.338572+2 3.572402-6 7.352226+2 3.577618-6 7.562778+2 3.579900-6 7.718783+2 3.582833-6 7.981104+2 3.585934-6 8.337273+2 3.589035-6 8.777305+2 3.591744-6 9.231607+2 3.595545-6 9.978911+2 3.599843-6 1.097512+3 3.610674-6 1.412274+3 3.617195-6 1.635735+3 3.621340-6 1.785736+3 3.626728-6 1.984318+3 3.630347-6 2.116760+3 3.632988-6 2.211458+3 3.636834-6 2.344484+3 3.640736-6 2.471163+3 3.642053-6 2.511613+3 3.646311-6 2.632744+3 3.650475-6 2.734957+3 3.654669-6 2.819368+3 3.658595-6 2.879848+3 3.659833-6 2.895008+3 3.668425-6 2.946488+3 3.670829-6 2.943904+3 3.677491-6 2.898941+3 3.681676-6 2.843804+3 3.685732-6 2.772359+3 3.690196-6 2.675472+3 3.694523-6 2.565876+3 3.698369-6 2.457747+3 3.702077-6 2.345895+3 3.707709-6 2.165898+3 3.712104-6 2.020370+3 3.717049-6 1.855045+3 3.720895-6 1.727417+3 3.729685-6 1.446682+3 3.732707-6 1.355514+3 3.738476-6 1.191178+3 3.745069-6 1.020857+3 3.754124-6 8.194969+2 3.771558-6 5.340812+2 3.779209-6 4.455627+2 3.783012-6 4.084256+2 3.786801-6 3.754245+2 3.794348-6 3.200211+2 3.801836-6 2.763498+2 3.809266-6 2.417597+2 3.816638-6 2.141149+2 3.823952-6 1.917498+2 3.831209-6 1.733980+2 3.838409-6 1.581142+2 3.845553-6 1.452001+2 3.852641-6 1.341418+2 3.859674-6 1.245600+2 3.866652-6 1.161718+2 3.880499-6 1.021220+2 3.894129-6 9.086829+1 3.907547-6 8.165763+1 3.920754-6 7.399118+1 3.933756-6 6.752284+1 3.946554-6 6.200339+1 3.959152-6 5.724789+1 3.971554-6 5.311562+1 3.983762-6 4.949727+1 3.995778-6 4.630646+1 4.019437-6 4.090686+1 4.042356-6 3.656418+1 4.064559-6 3.300716+1 4.086067-6 3.005091+1 4.106904-6 2.756346+1 4.127090-6 2.544805+1 4.146645-6 2.363201+1 4.165589-6 2.205881+1 4.202292-6 1.943426+1 4.236702-6 1.737728+1 4.268961-6 1.573147+1 4.299203-6 1.439267+1 4.327556-6 1.328807+1 4.354136-6 1.236461+1 4.403975-6 1.086603+1 4.447584-6 9.753687+0 4.485741-6 8.906855+0 4.577558-6 7.234480+0 4.823036-6 4.297448+0 4.893227-6 3.703454+0 4.951720-6 3.257457+0 4.986815-6 3.008568+0 5.098143-6 2.277301+0 5.139891-6 2.018309+0 5.176420-6 1.796732+0 5.212386-6 1.580029+0 5.236351-6 1.434875+0 5.260823-6 1.284889+0 5.282235-6 1.151394+0 5.300972-6 1.032326+0 5.317366-6 9.261924-1 5.331711-6 8.319507-1 5.344263-6 7.488976-1 5.355245-6 6.765247-1 5.364855-6 6.143706-1 5.373264-6 5.619041-1 5.387979-6 4.784777-1 5.399016-6 4.282445-1 5.407293-6 4.017235-1 5.413501-6 3.904763-1 5.418157-6 3.881156-1 5.421649-6 3.903460-1 5.426887-6 4.010929-1 5.429506-6 4.101975-1 5.432125-6 4.220520-1 5.445496-6 5.333940-1 5.448838-6 5.768277-1 5.451345-6 6.141352-1 5.453225-6 6.449271-1 5.457456-6 7.235462-1 5.463466-6 8.592238-1 5.481494-6 1.462759+0 5.488189-6 1.771753+0 5.494151-6 2.088788+0 5.499970-6 2.436968+0 5.505133-6 2.777750+0 5.509320-6 3.075675+0 5.515385-6 3.539771+0 5.520979-6 3.999676+0 5.526759-6 4.503308+0 5.531134-6 4.900843+0 5.536161-6 5.371586+0 5.541438-6 5.877482+0 5.546475-6 6.366773+0 5.552628-6 6.965673+0 5.555294-6 7.223344+0 5.562015-6 7.861040+0 5.567673-6 8.377193+0 5.571496-6 8.711164+0 5.578172-6 9.258054+0 5.582178-6 9.560091+0 5.595620-6 1.039930+1 5.598035-6 1.051815+1 5.609902-6 1.094556+1 5.614234-6 1.103452+1 5.622504-6 1.110365+1 5.628202-6 1.107577+1 5.634300-6 1.098066+1 5.639279-6 1.085572+1 5.643013-6 1.073591+1 5.648615-6 1.051748+1 5.654217-6 1.025705+1 5.660677-6 9.911635+0 5.662830-6 9.787174+0 5.672912-6 9.155073+0 5.676272-6 8.930113+0 5.689714-6 7.990601+0 5.699535-6 7.292688+0 5.705734-6 6.859114+0 5.714754-6 6.249010+0 5.730040-6 5.298202+0 5.750756-6 4.219081+0 5.761297-6 3.767141+0 5.771509-6 3.388100+0 5.781401-6 3.071062+0 5.790984-6 2.805610+0 5.809551-6 2.387856+0 5.826958-6 2.085063+0 5.843277-6 1.856770+0 5.873875-6 1.523211+0 5.944807-6 9.882565-1 5.965233-6 8.660114-1 5.982140-6 7.712465-1 5.997400-6 6.898164-1 6.010489-6 6.226826-1 6.022689-6 5.622594-1 6.034071-6 5.078579-1 6.045811-6 4.540379-1 6.058739-6 3.981720-1 6.087049-6 2.947561-1 6.094066-6 2.748884-1 6.099869-6 2.607231-1 6.104714-6 2.506452-1 6.108639-6 2.437389-1 6.113606-6 2.367309-1 6.118305-6 2.319921-1 6.124101-6 2.288353-1 6.129898-6 2.288126-1 6.137626-6 2.339032-1 6.144912-6 2.442501-1 6.148665-6 2.517140-1 6.159926-6 2.827337-1 6.166128-6 3.051540-1 6.172049-6 3.298374-1 6.190922-6 4.262281-1 6.198748-6 4.717703-1 6.206611-6 5.190159-1 6.212791-6 5.562895-1 6.217998-6 5.872134-1 6.223204-6 6.172466-1 6.226951-6 6.380688-1 6.232570-6 6.676941-1 6.238190-6 6.949542-1 6.252895-6 7.519331-1 6.254803-6 7.575608-1 6.268161-6 7.840615-1 6.273313-6 7.879697-1 6.283147-6 7.854661-1 6.287640-6 7.800344-1 6.291572-6 7.731486-1 6.298452-6 7.565229-1 6.303612-6 7.404683-1 6.311352-6 7.111916-1 6.315222-6 6.944628-1 6.319092-6 6.765054-1 6.323598-6 6.542232-1 6.328104-6 6.306645-1 6.335084-6 5.921539-1 6.340094-6 5.633919-1 6.355108-6 4.746979-1 6.370122-6 3.877437-1 6.388047-6 2.942592-1 6.400151-6 2.407427-1 6.412240-6 1.964469-1 6.419493-6 1.744714-1 6.425495-6 1.588999-1 6.435216-6 1.385779-1 6.441234-6 1.289044-1 6.449853-6 1.186538-1 6.456972-6 1.131344-1 6.460906-6 1.111256-1 6.472710-6 1.090041-1 6.477850-6 1.096676-1 6.486846-6 1.127033-1 6.493593-6 1.162585-1 6.498653-6 1.194930-1 6.510038-6 1.280876-1 6.535662-6 1.511413-1 6.557839-6 1.738711-1 6.569938-6 1.882761-1 6.580020-6 2.021740-1 6.590102-6 2.184226-1 6.597159-6 2.314913-1 6.606422-6 2.510450-1 6.618513-6 2.809413-1 6.647108-6 3.693441-1 6.663231-6 4.248790-1 6.668025-6 4.411560-1 6.701582-6 5.356160-1 6.715868-6 5.604697-1 6.738918-6 5.896376-1 6.745866-6 6.013731-1 6.756002-6 6.284262-1 6.763225-6 6.597051-1 6.769139-6 6.962793-1 6.774506-6 7.406050-1 6.779201-6 7.900901-1 6.783309-6 8.430949-1 6.786904-6 8.980119-1 6.790050-6 9.533988-1 6.795554-6 1.068973+0 6.799683-6 1.173258+0 6.802779-6 1.262584+0 6.807423-6 1.416368+0 6.812068-6 1.596463+0 6.818332-6 1.886405+0 6.828608-6 2.498738+0 6.842499-6 3.656025+0 6.852492-6 4.772619+0 6.860815-6 5.914226+0 6.862704-6 6.202380+0 6.895908-6 1.325441+1 6.913659-6 1.865675+1 6.916750-6 1.970798+1 6.930862-6 2.486211+1 6.937900-6 2.761025+1 6.943528-6 2.986569+1 6.950658-6 3.276741+1 6.956300-6 3.507311+1 6.961258-6 3.708743+1 6.965757-6 3.889112+1 6.969694-6 4.044075+1 6.976152-6 4.290242+1 6.983116-6 4.540705+1 6.989299-6 4.746487+1 6.996132-6 4.951866+1 6.999052-6 5.031694+1 7.007966-6 5.242426+1 7.014765-6 5.366759+1 7.020942-6 5.450323+1 7.028835-6 5.514633+1 7.035889-6 5.531050+1 7.051209-6 5.436022+1 7.056966-6 5.356937+1 7.062147-6 5.267485+1 7.070146-6 5.098940+1 7.077449-6 4.917553+1 7.085462-6 4.694921+1 7.094101-6 4.435695+1 7.104238-6 4.119153+1 7.118408-6 3.682402+1 7.134346-6 3.241858+1 7.145006-6 2.997416+1 7.149964-6 2.900500+1 7.162417-6 2.708284+1 7.170785-6 2.621412+1 7.174573-6 2.593140+1 7.181016-6 2.560317+1 7.185949-6 2.547598+1 7.189978-6 2.544713+1 7.203060-6 2.576490+1 7.212365-6 2.630375+1 7.217992-6 2.672263+1 7.249727-6 2.958285+1 7.266921-6 3.087253+1 7.268961-6 3.099170+1 7.284877-6 3.160505+1 7.293970-6 3.167912+1 7.303700-6 3.152497+1 7.311645-6 3.122281+1 7.317706-6 3.089044+1 7.322074-6 3.059917+1 7.332130-6 2.977673+1 7.335482-6 2.945952+1 7.348542-6 2.804945+1 7.352895-6 2.752691+1 7.365954-6 2.584204+1 7.370307-6 2.525069+1 7.387720-6 2.280568+1 7.396426-6 2.156729+1 7.405132-6 2.033904+1 7.420368-6 1.825024+1 7.432466-6 1.667393+1 7.455962-6 1.388018+1 7.473661-6 1.203342+1 7.552829-6 6.285032+0 7.596886-6 4.419666+0 7.679436-6 2.327946+0 7.709553-6 1.853351+0 7.726558-6 1.637431+0 7.742468-6 1.466602+0 7.755911-6 1.344218+0 7.764984-6 1.272259+0 7.780101-6 1.169984+0 7.798745-6 1.070979+0 7.810164-6 1.023129+0 7.820128-6 9.881520-1 7.830179-6 9.583902-1 7.841172-6 9.312189-1 7.851233-6 9.104291-1 7.861270-6 8.928339-1 7.881466-6 8.644603-1 7.907521-6 8.366792-1 7.928345-6 8.189072-1 7.944067-6 8.077881-1 7.962350-6 7.978986-1 7.980887-6 7.922612-1 7.992663-6 7.915463-1 8.009027-6 7.948807-1 8.025705-6 8.039502-1 8.043803-6 8.204798-1 8.052808-6 8.312149-1 8.070000-6 8.558947-1 8.098681-6 9.066323-1 8.142519-6 9.937847-1 8.159960-6 1.027102+0 8.173026-6 1.050423+0 8.192000-6 1.081055+0 8.217178-6 1.115005+0 8.241510-6 1.140481+0 8.276599-6 1.166149+0 8.320702-6 1.185102+0 8.389752-6 1.200238+0 8.508161-6 1.221020+0 8.557334-6 1.235158+0 8.577940-6 1.243859+0 8.598765-6 1.255847+0 8.619153-6 1.272649+0 8.639759-6 1.297830+0 8.660365-6 1.335887+0 8.667759-6 1.353865+0 8.680972-6 1.393300+0 8.701578-6 1.478454+0 8.722809-6 1.605763+0 8.732800-6 1.682875+0 8.742790-6 1.772657+0 8.755890-6 1.911399+0 8.762918-6 1.996337+0 8.784003-6 2.297707+0 8.794957-6 2.482315+0 8.819191-6 2.955247+0 8.840733-6 3.436891+0 8.859582-6 3.885561+0 8.870735-6 4.153240+0 8.880485-6 4.383194+0 8.888629-6 4.569318+0 8.899099-6 4.796629+0 8.910084-6 5.015561+0 8.921559-6 5.217092+0 8.934978-6 5.410276+0 8.945748-6 5.527612+0 8.957866-6 5.615955+0 8.967290-6 5.651490+0 8.969983-6 5.656271+0 8.988832-6 5.624382+0 8.996237-6 5.582081+0 9.010373-6 5.459946+0 9.022228-6 5.321805+0 9.036373-6 5.124935+0 9.053457-6 4.859378+0 9.091154-6 4.284430+0 9.101925-6 4.148604+0 9.114042-6 4.020648+0 9.118081-6 3.984526+0 9.140270-6 3.849246+0 9.148811-6 3.826184+0 9.165116-6 3.824744+0 9.185624-6 3.891365+0 9.204256-6 3.999013+0 9.242037-6 4.258393+0 9.254690-6 4.331306+0 9.268686-6 4.391592+0 9.277083-6 4.415051+0 9.299477-6 4.423882+0 9.313249-6 4.388787+0 9.323960-6 4.340951+0 9.339254-6 4.244852+0 9.348430-6 4.173929+0 9.364574-6 4.031400+0 9.385331-6 3.830486+0 9.407610-6 3.618630+0 9.418749-6 3.522775+0 9.429888-6 3.437638+0 9.437829-6 3.384812+0 9.452166-6 3.308324+0 9.460179-6 3.276936+0 9.483008-6 3.233616+0 9.496723-6 3.239099+0 9.511900-6 3.269236+0 9.529235-6 3.328224+0 9.583295-6 3.576394+0 9.598576-6 3.635759+0 9.621690-6 3.697554+0 9.644804-6 3.719998+0 9.667917-6 3.705998+0 9.698976-6 3.651928+0 9.725701-6 3.605069+0 9.746732-6 3.589762+0 9.756996-6 3.593614+0 9.768355-6 3.608368+0 9.780044-6 3.636042+0 9.797203-6 3.700460+0 9.812378-6 3.780268+0 9.829713-6 3.894430+0 9.887314-6 4.363180+0 9.911151-6 4.545041+0 9.923070-6 4.623179+0 9.946908-6 4.745358+0 9.970745-6 4.817021+0 9.984788-6 4.835946+0 9.998192-6 4.839610+0 1.002380-5 4.815615+0 1.008993-5 4.687487+0 1.012080-5 4.657064+0 1.013221-5 4.655793+0 1.016644-5 4.684925+0 1.019702-5 4.744399+0 1.023770-5 4.843847+0 1.027949-5 4.930304+0 1.030021-5 4.956714+0 1.032093-5 4.969065+0 1.034151-5 4.966724+0 1.040328-5 4.880614+0 1.042683-5 4.824038+0 1.055324-5 4.471607+0 1.060458-5 4.358191+0 1.075667-5 4.095229+0 1.084264-5 3.944162+0 1.087315-5 3.899219+0 1.092335-5 3.846852+0 1.095456-5 3.830500+0 1.100418-5 3.830298+0 1.105299-5 3.856471+0 1.113934-5 3.944588+0 1.122637-5 4.060129+0 1.157993-5 4.606753+0 1.350000-5 8.724200+0 1.485815-5 1.282651+1 1.531087-5 1.446081+1 1.671203-5 2.023446+1 1.717908-5 2.246549+1 1.862087-5 3.014814+1 2.000000-5 3.866469+1 2.113489-5 4.640464+1 2.230000-5 5.485801+1 2.330000-5 6.236762+1 2.414534-5 6.866706+1 2.502878-5 7.509170+1 2.548725-5 7.834115+1 2.626783-5 8.354564+1 2.689292-5 8.734554+1 2.715418-5 8.878354+1 2.822192-5 9.430376+1 2.885108-5 9.859872+1 3.047270-5 1.111805+2 3.126079-5 1.182970+2 3.202393-5 1.260781+2 3.265141-5 1.336736+2 3.310503-5 1.399943+2 3.370728-5 1.498718+2 3.413170-5 1.582312+2 3.451038-5 1.671403+2 3.489820-5 1.780267+2 3.516987-5 1.870167+2 3.536282-5 1.943045+2 3.554370-5 2.019676+2 3.583751-5 2.164773+2 3.602130-5 2.271365+2 3.629202-5 2.457133+2 3.652997-5 2.657665+2 3.673909-5 2.873400+2 3.692290-5 3.104379+2 3.708444-5 3.350181+2 3.724955-5 3.657437+2 3.741160-5 4.036298+2 3.751727-5 4.341659+2 3.760973-5 4.661239+2 3.769063-5 4.994066+2 3.776142-5 5.338227+2 3.782336-5 5.690754+2 3.787894-5 6.057491+2 3.792499-5 6.404817+2 3.796648-5 6.757300+2 3.803910-5 7.481415+2 3.809356-5 8.131281+2 3.813441-5 8.689465+2 3.816505-5 9.152830+2 3.823398-5 1.035373+3 3.825695-5 1.080776+3 3.835112-5 1.298906+3 3.844528-5 1.575342+3 3.860195-5 2.182232+3 3.866904-5 2.499872+3 3.874875-5 2.918665+3 3.878719-5 3.134607+3 3.884951-5 3.499904+3 3.890294-5 3.823441+3 3.897713-5 4.278468+3 3.902907-5 4.593140+3 3.907477-5 4.861846+3 3.912586-5 5.147702+3 3.918095-5 5.431936+3 3.922987-5 5.657644+3 3.927508-5 5.839549+3 3.933206-5 6.026954+3 3.935109-5 6.078213+3 3.940674-5 6.193150+3 3.945550-5 6.249072+3 3.951469-5 6.258736+3 3.954472-5 6.239034+3 3.963304-5 6.087157+3 3.967552-5 5.966579+3 3.972505-5 5.790304+3 3.977082-5 5.596430+3 3.981327-5 5.393291+3 3.984576-5 5.224559+3 3.989221-5 4.966764+3 3.992953-5 4.748143+3 3.998094-5 4.434898+3 4.000996-5 4.253974+3 4.005745-5 3.954962+3 4.010494-5 3.656055+3 4.016106-5 3.308415+3 4.021178-5 3.004056+3 4.027411-5 2.648211+3 4.032772-5 2.361732+3 4.038986-5 2.055474+3 4.046109-5 1.740830+3 4.054220-5 1.430788+3 4.075581-5 8.424068+2 4.082424-5 7.141991+2 4.088633-5 6.190535+2 4.098760-5 5.023963+2 4.113377-5 4.092350+2 4.119555-5 3.949893+2 4.123694-5 3.937216+2 4.126466-5 3.966120+2 4.128401-5 4.004177+2 4.130016-5 4.047296+2 4.132370-5 4.128646+2 4.134656-5 4.228867+2 4.136608-5 4.331013+2 4.139016-5 4.478196+2 4.146714-5 5.105796+2 4.150021-5 5.448792+2 4.152435-5 5.726600+2 4.164694-5 7.482750+2 4.174604-5 9.284516+2 4.177472-5 9.859893+2 4.183743-5 1.118634+3 4.189682-5 1.250971+3 4.193431-5 1.336691+3 4.197902-5 1.440016+3 4.203037-5 1.558537+3 4.207350-5 1.656554+3 4.212734-5 1.774963+3 4.218408-5 1.892479+3 4.223748-5 1.993792+3 4.225766-5 2.029259+3 4.231540-5 2.120896+3 4.236015-5 2.180722+3 4.241310-5 2.237554+3 4.246059-5 2.274738+3 4.248079-5 2.286458+3 4.254972-5 2.307630+3 4.260281-5 2.304136+3 4.264755-5 2.288171+3 4.269592-5 2.258185+3 4.274769-5 2.212502+3 4.279093-5 2.164627+3 4.284653-5 2.091776+3 4.289738-5 2.015850+3 4.296095-5 1.911392+3 4.302770-5 1.794053+3 4.304994-5 1.753895+3 4.316888-5 1.537673+3 4.328949-5 1.328764+3 4.349451-5 1.030140+3 4.359703-5 9.131043+2 4.364829-5 8.625003+2 4.369954-5 8.168239+2 4.375053-5 7.759389+2 4.384933-5 7.082569+2 4.394195-5 6.565498+2 4.402878-5 6.163991+2 4.414623-5 5.720394+2 4.418650-5 5.589370+2 4.434724-5 5.146214+2 4.448484-5 4.841835+2 4.456435-5 4.688430+2 4.480600-5 4.292827+2 4.501712-5 4.007097+2 4.529179-5 3.687336+2 4.579970-5 3.191274+2 4.604351-5 2.994121+2 4.615335-5 2.916799+2 4.627112-5 2.843301+2 4.640524-5 2.772601+2 4.661660-5 2.690988+2 4.679570-5 2.650342+2 4.702686-5 2.633664+2 4.720274-5 2.644308+2 4.738811-5 2.672087+2 4.778482-5 2.752754+2 4.790155-5 2.772287+2 4.805671-5 2.790304+2 4.827740-5 2.798600+2 4.853579-5 2.788036+2 4.906032-5 2.753360+2 4.947605-5 2.747431+2 5.035132-5 2.751902+2 5.155267-5 2.760094+2 5.261918-5 2.757195+2 5.281532-5 2.751717+2 5.316287-5 2.731353+2 5.358490-5 2.689688+2 5.419000-5 2.620819+2 5.510952-5 2.538365+2 5.667049-5 2.432215+2 6.511914-5 1.996011+2 7.007091-5 1.789186+2 7.208117-5 1.708552+2 7.341733-5 1.649428+2 7.472077-5 1.582492+2 7.504394-5 1.571162+2 7.525714-5 1.566927+2 7.564625-5 1.566417+2 7.657386-5 1.581592+2 7.708254-5 1.580704+2 7.909386-5 1.546725+2 8.025281-5 1.520619+2 8.212500-5 1.469630+2 8.586152-5 1.389589+2 9.120108-5 1.298660+2 9.568093-5 1.234721+2 1.005000-4 1.177127+2 1.060000-4 1.121856+2 1.109175-4 1.080645+2 1.244515-4 9.935997+1 1.500000-4 8.787500+1 1.596482-4 8.400262+1 1.679162-4 8.050474+1 1.778280-4 7.609813+1 1.889484-4 7.066395+1 1.989603-4 6.510321+1 2.073600-4 5.988853+1 2.152667-4 5.449404+1 2.213095-4 4.998582+1 2.275722-4 4.496225+1 2.338160-4 3.952587+1 2.384988-4 3.520195+1 2.420109-4 3.178972+1 2.454709-4 2.826188+1 2.485961-4 2.494166+1 2.526800-4 2.039716+1 2.546328-4 1.811916+1 2.562657-4 1.616923+1 2.573900-4 1.484421+1 2.585763-4 1.353332+1 2.593335-4 1.278572+1 2.599762-4 1.222861+1 2.606425-4 1.174056+1 2.612811-4 1.136655+1 2.618009-4 1.113103+1 2.624400-4 1.092214+1 2.630700-4 1.079314+1 2.639159-4 1.071218+1 2.664025-4 1.067264+1 2.671753-4 1.061269+1 2.681291-4 1.047544+1 2.704750-4 9.996070+0 2.712834-4 9.896920+0 2.715000-4 9.886520+0 2.720914-4 9.904278+0 2.724500-4 9.953593+0 2.728000-4 1.003419+1 2.730500-4 1.011324+1 2.735152-4 1.031227+1 2.740000-4 1.059780+1 2.744750-4 1.096153+1 2.750000-4 1.146754+1 2.752000-4 1.169051+1 2.756499-4 1.225572+1 2.760750-4 1.287364+1 2.770401-4 1.459584+1 2.778114-4 1.630874+1 2.785375-4 1.820854+1 2.796494-4 2.167886+1 2.813995-4 2.855091+1 2.824747-4 3.362113+1 2.838997-4 4.128646+1 2.852132-4 4.923135+1 2.864021-4 5.706783+1 2.870999-4 6.191913+1 2.884748-4 7.193987+1 2.890000-4 7.590436+1 2.906000-4 8.833939+1 2.923000-4 1.019596+2 2.926000-4 1.043909+2 2.945000-4 1.198867+2 2.966247-4 1.372458+2 2.980000-4 1.484113+2 2.989093-4 1.557439+2 3.007000-4 1.700376+2 3.023671-4 1.831397+2 3.040000-4 1.957466+2 3.057000-4 2.086005+2 3.080000-4 2.254866+2 3.101836-4 2.409005+2 3.126079-4 2.571952+2 3.150000-4 2.723139+2 3.165000-4 2.812804+2 3.200000-4 3.006857+2 3.240000-4 3.204028+2 3.280000-4 3.377005+2 3.308220-4 3.486594+2 3.335000-4 3.583318+2 3.370000-4 3.700072+2 3.430000-4 3.879745+2 3.478275-4 4.013042+2 3.528027-4 4.144290+2 3.584558-4 4.285060+2 3.663043-4 4.469264+2 3.767206-4 4.687498+2 3.855076-4 4.840021+2 3.916451-4 4.923189+2 4.048709-4 5.061022+2 4.085555-4 5.196587+2 4.106662-4 5.371871+2 4.116370-4 5.480871+2 4.136975-4 5.751532+2 4.163942-4 6.076479+2 4.176068-4 6.162935+2 4.186788-4 6.194623+2 4.197925-4 6.182921+2 4.208776-4 6.134759+2 4.247616-4 5.867378+2 4.257170-4 5.825513+2 4.269174-4 5.802488+2 4.286889-4 5.830826+2 4.324035-4 6.069704+2 4.341116-4 6.212926+2 4.370260-4 6.417793+2 4.380353-4 6.463349+2 4.389346-4 6.490489+2 4.398941-4 6.505959+2 4.412568-4 6.507862+2 4.456997-4 6.460786+2 4.477500-4 6.467112+2 4.498813-4 6.504060+2 4.602223-4 6.805721+2 4.696628-4 7.027123+2 4.793137-4 7.205690+2 4.895167-4 7.349443+2 5.028259-4 7.493600+2 5.141264-4 7.577660+2 5.215647-4 7.618107+2 5.257164-4 7.662512+2 5.285392-4 7.716697+2 5.376350-4 7.979254+2 5.412994-4 8.065550+2 5.469731-4 8.161236+2 5.553090-4 8.275942+2 5.662804-4 8.403570+2 5.812849-4 8.543874+2 5.986591-4 8.684756+2 6.166054-4 8.804896+2 6.550131-4 8.995150+2 6.960128-4 9.135642+2 7.372800-4 9.234090+2 7.818528-4 9.288922+2 8.659643-4 9.293425+2 9.524410-4 9.249464+2 1.047129-3 9.157588+2 1.103799-3 9.073993+2 1.269703-3 8.764035+2 1.333521-3 8.641270+2 1.405567-3 8.488588+2 1.557758-3 8.139824+2 1.626485-3 7.980886+2 1.710508-3 7.774095+2 1.795196-3 7.556385+2 1.882053-3 7.329566+2 1.970481-3 7.091569+2 2.058167-3 6.834248+2 2.139501-3 6.576127+2 2.203241-3 6.361814+2 2.263183-3 6.146209+2 2.322403-3 5.914376+2 2.363443-3 5.736541+2 2.409323-3 5.517643+2 2.451370-3 5.294148+2 2.484837-3 5.094655+2 2.511758-3 4.914335+2 2.537119-3 4.721792+2 2.560877-3 4.512934+2 2.579992-3 4.314925+2 2.595259-3 4.129762+2 2.607012-3 3.968584+2 2.620150-3 3.773802+2 2.637067-3 3.529200+2 2.646572-3 3.417920+2 2.653100-3 3.361609+2 2.659189-3 3.327645+2 2.665343-3 3.313535+2 2.671890-3 3.321572+2 2.678210-3 3.351056+2 2.684921-3 3.403201+2 2.694703-3 3.509202+2 2.717707-3 3.817053+2 2.724606-3 3.905863+2 2.735773-3 4.034987+2 2.745144-3 4.128966+2 2.774256-3 4.388228+2 2.792087-3 4.577711+2 2.813102-3 4.854050+2 2.831314-3 5.113320+2 2.843629-3 5.280345+2 2.853644-3 5.404437+2 2.870530-3 5.583760+2 2.885469-3 5.710805+2 2.903472-3 5.829401+2 2.921699-3 5.917436+2 2.938276-3 5.973906+2 2.983906-3 6.065180+2 2.995120-3 6.095492+2 3.007805-3 6.146526+2 3.027135-3 6.265496+2 3.074002-3 6.659101+2 3.088477-3 6.766758+2 3.103348-3 6.861101+2 3.122547-3 6.961490+2 3.145728-3 7.059637+2 3.177696-3 7.169241+2 3.241510-3 7.334356+2 3.314053-3 7.464817+2 3.388017-3 7.552509+2 3.479091-3 7.619988+2 3.601966-3 7.666114+2 3.730882-3 7.671436+2 3.877395-3 7.631846+2 4.045140-3 7.554498+2 4.348523-3 7.362421+2 4.677351-3 7.110678+2 5.038964-3 6.817284+2 5.491456-3 6.440996+2 6.049753-3 5.997323+2 6.690657-3 5.529755+2 7.497263-3 5.006056+2 8.479677-3 4.459222+2 9.362811-3 4.039732+2 1.004429-2 3.751729+2 1.088119-2 3.433144+2 1.173483-2 3.142082+2 1.269843-2 2.849689+2 1.368385-2 2.582967+2 1.424788-2 2.443342+2 1.540192-2 2.182810+2 1.600292-2 2.058981+2 1.703178-2 1.862199+2 1.789350-2 1.708777+2 1.854999-2 1.595973+2 1.907866-2 1.505070+2 1.947317-2 1.434850+2 1.981333-2 1.370136+2 2.006048-2 1.318058+2 2.017969-2 1.290097+2 2.028684-2 1.262350+2 2.037711-2 1.236242+2 2.051124-2 1.191473+2 2.067333-2 1.129219+2 2.080399-2 1.081902+2 2.088590-2 1.060460+2 2.094372-2 1.051473+2 2.099250-2 1.048490+2 2.104757-2 1.050306+2 2.109664-2 1.056285+2 2.116660-2 1.070754+2 2.130023-2 1.109881+2 2.142529-2 1.148094+2 2.152993-2 1.174876+2 2.160772-2 1.190727+2 2.167686-2 1.202091+2 2.176521-2 1.213480+2 2.186213-2 1.222830+2 2.206861-2 1.235424+2 2.232977-2 1.242856+2 2.265773-2 1.244778+2 2.297351-2 1.241503+2 2.358181-2 1.226493+2 2.425094-2 1.202611+2 2.527020-2 1.159482+2 2.639878-2 1.108725+2 2.788370-2 1.042105+2 3.015131-2 9.457665+1 3.320992-2 8.315718+1 3.653056-2 7.267617+1 4.034002-2 6.265693+1 4.445956-2 5.379010+1 5.016684-2 4.426929+1 5.525478-2 3.767077+1 6.140268-2 3.139626+1 8.276956-2 1.851738+1 1.111273-1 1.091810+1 1.352593-1 7.621036+0 1.692717-1 5.015827+0 2.121588-1 3.267638+0 2.895185-1 1.795391+0 4.241310-1 8.530878-1 6.388306-1 3.809630-1 1.120601+0 1.248791-1 3.086391+0 1.652989-2 9.320751+0 1.813517-3 2.814822+1 1.988609-4 8.500626+1 2.180482-5 2.567148+2 2.390853-6 7.752663+2 2.621518-7 2.511886+3 2.497208-8 7.943282+3 2.497208-9 2.511886+4 2.49721-10 7.943282+4 2.49721-11 1.000000+5 1.57563-11 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.561600-6 1.258900-6 2.475000-6 1.584900-6 3.922700-6 1.995300-6 6.217000-6 2.511900-6 9.853200-6 3.162300-6 1.561600-5 3.981100-6 2.475000-5 5.011900-6 3.922600-5 6.309600-6 6.216800-5 7.943300-6 9.852900-5 1.000000-5 1.561600-4 1.258900-5 2.474900-4 1.584900-5 3.921000-4 1.995300-5 6.211600-4 2.511900-5 9.841100-4 3.162300-5 1.559200-3 3.981100-5 2.470700-3 5.011900-5 3.915100-3 6.309600-5 6.204000-3 7.943300-5 9.820900-3 1.000000-4 1.554200-2 1.258900-4 2.459100-2 1.584900-4 3.882200-2 1.995300-4 6.121800-2 2.511900-4 9.624700-2 3.162300-4 1.505900-1 3.981100-4 2.337900-1 5.011900-4 3.588800-1 6.309600-4 5.418800-1 7.943300-4 7.992000-1 1.000000-3 1.143600+0 1.258900-3 1.578700+0 1.584900-3 2.102000+0 1.995300-3 2.718800+0 2.511900-3 3.453000+0 3.162300-3 4.328000+0 3.981100-3 5.357500+0 5.011900-3 6.556700+0 6.309600-3 7.931300+0 7.943300-3 9.439400+0 1.000000-2 1.098500+1 1.258900-2 1.253100+1 1.584900-2 1.407600+1 1.995300-2 1.555300+1 2.511900-2 1.690400+1 3.162300-2 1.798100+1 3.981100-2 1.892400+1 5.011900-2 1.949700+1 6.309600-2 1.973300+1 7.943300-2 1.964100+1 1.000000-1 1.924600+1 1.258900-1 1.860500+1 1.584900-1 1.780000+1 1.995300-1 1.682000+1 2.511900-1 1.573500+1 3.162300-1 1.459600+1 3.981100-1 1.343700+1 5.011900-1 1.228600+1 6.309600-1 1.116200+1 7.943300-1 1.007700+1 1.000000+0 9.044200+0 1.258900+0 8.065100+0 1.584900+0 7.146200+0 1.995300+0 6.291700+0 2.511900+0 5.504300+0 3.162300+0 4.785900+0 3.981100+0 4.136700+0 5.011900+0 3.555400+0 6.309600+0 3.040300+0 7.943300+0 2.587200+0 1.000000+1 2.191900+0 1.258900+1 1.849500+0 1.584900+1 1.554900+0 1.995300+1 1.302900+0 2.511900+1 1.088500+0 3.162300+1 9.068900-1 3.981100+1 7.537500-1 5.011900+1 6.250800-1 6.309600+1 5.173400-1 7.943300+1 4.273900-1 1.000000+2 3.525000-1 1.258900+2 2.902900-1 1.584900+2 2.387300-1 1.995300+2 1.960800-1 2.511900+2 1.608500-1 3.162300+2 1.318200-1 3.981100+2 1.079100-1 5.011900+2 8.826100-2 6.309600+2 7.212400-2 7.943300+2 5.889000-2 1.000000+3 4.804700-2 1.258900+3 3.917200-2 1.584900+3 3.191500-2 1.995300+3 2.598600-2 2.511900+3 2.114500-2 3.162300+3 1.719600-2 3.981100+3 1.397700-2 5.011900+3 1.135400-2 6.309600+3 9.219300-3 7.943300+3 7.482200-3 1.000000+4 6.069600-3 1.258900+4 4.921500-3 1.584900+4 3.989000-3 1.995300+4 3.231800-3 2.511900+4 2.617400-3 3.162300+4 2.118900-3 3.981100+4 1.714800-3 5.011900+4 1.387300-3 6.309600+4 1.122000-3 7.943300+4 9.070700-4 1.000000+5 7.331100-4 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510164-4 3.162278-4 3.159552-4 3.981072-4 3.976754-4 5.011872-4 5.005059-4 6.309573-4 6.298870-4 7.943282-4 7.926442-4 1.000000-3 9.973661-4 1.258925-3 1.254827-3 1.584893-3 1.578520-3 1.995262-3 1.985338-3 2.511886-3 2.496421-3 3.162278-3 3.138081-3 3.981072-3 3.943176-3 5.011872-3 4.952510-3 6.309573-3 6.216669-3 7.943282-3 7.798392-3 1.000000-2 9.774888-3 1.258925-2 1.224130-2 1.584893-2 1.531216-2 1.995262-2 1.912535-2 2.511886-2 2.384899-2 3.162278-2 2.968188-2 3.981072-2 3.686645-2 5.011872-2 4.567798-2 6.309573-2 5.644954-2 7.943282-2 6.955226-2 1.000000-1 8.546519-2 1.258925-1 1.046530-1 1.584893-1 1.276179-1 1.995262-1 1.551879-1 2.511886-1 1.880819-1 3.162278-1 2.271881-1 3.981072-1 2.735311-1 5.011872-1 3.283037-1 6.309573-1 3.928578-1 7.943282-1 4.690162-1 1.000000+0 5.583243-1 1.258925+0 6.637205-1 1.584893+0 7.880994-1 1.995262+0 9.352099-1 2.511886+0 1.109742+0 3.162278+0 1.317472+0 3.981072+0 1.565434+0 5.011872+0 1.862161+0 6.309573+0 2.218376+0 7.943282+0 2.646896+0 1.000000+1 3.163539+0 1.258925+1 3.787537+0 1.584893+1 4.542686+0 1.995262+1 5.457869+0 2.511886+1 6.568640+0 3.162278+1 7.918532+0 3.981072+1 9.561167+0 5.011872+1 1.156184+1 6.309573+1 1.400147+1 7.943282+1 1.697908+1 1.000000+2 2.061634+1 1.258925+2 2.506371+1 1.584893+2 3.050541+1 1.995262+2 3.716861+1 2.511886+2 4.533376+1 3.162278+2 5.534636+1 3.981072+2 6.763076+1 5.011872+2 8.271394+1 6.309573+2 1.012436+2 7.943282+2 1.240196+2 1.000000+3 1.520291+2 1.258925+3 1.864905+2 1.584893+3 2.289193+2 1.995262+3 2.811759+2 2.511886+3 3.455635+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88224-10 1.995262-5 1.090693-9 2.511886-5 1.728602-9 3.162278-5 2.739651-9 3.981072-5 4.342046-9 5.011872-5 6.881582-9 6.309573-5 1.090620-8 7.943282-5 1.727953-8 1.000000-4 2.738032-8 1.258925-4 4.338522-8 1.584893-4 6.871225-8 1.995262-4 1.088273-7 2.511886-4 1.722921-7 3.162278-4 2.725543-7 3.981072-4 4.317948-7 5.011872-4 6.813179-7 6.309573-4 1.070362-6 7.943282-4 1.684043-6 1.000000-3 2.633894-6 1.258925-3 4.098768-6 1.584893-3 6.372854-6 1.995262-3 9.923942-6 2.511886-3 1.546559-5 3.162278-3 2.419706-5 3.981072-3 3.789610-5 5.011872-3 5.936195-5 6.309573-3 9.290401-5 7.943282-3 1.448903-4 1.000000-2 2.251122-4 1.258925-2 3.479578-4 1.584893-2 5.367734-4 1.995262-2 8.272762-4 2.511886-2 1.269871-3 3.162278-2 1.940895-3 3.981072-2 2.944263-3 5.011872-2 4.440741-3 6.309573-2 6.646197-3 7.943282-2 9.880562-3 1.000000-1 1.453481-2 1.258925-1 2.123955-2 1.584893-1 3.087140-2 1.995262-1 4.433834-2 2.511886-1 6.310673-2 3.162278-1 8.903968-2 3.981072-1 1.245761-1 5.011872-1 1.728835-1 6.309573-1 2.380995-1 7.943282-1 3.253120-1 1.000000+0 4.416757-1 1.258925+0 5.952049-1 1.584893+0 7.967938-1 1.995262+0 1.060052+0 2.511886+0 1.402145+0 3.162278+0 1.844806+0 3.981072+0 2.415638+0 5.011872+0 3.149711+0 6.309573+0 4.091197+0 7.943282+0 5.296386+0 1.000000+1 6.836461+0 1.258925+1 8.801718+0 1.584893+1 1.130625+1 1.995262+1 1.449475+1 2.511886+1 1.855022+1 3.162278+1 2.370424+1 3.981072+1 3.024955+1 5.011872+1 3.855688+1 6.309573+1 4.909426+1 7.943282+1 6.245374+1 1.000000+2 7.938366+1 1.258925+2 1.008288+2 1.584893+2 1.279839+2 1.995262+2 1.623576+2 2.511886+2 2.058549+2 3.162278+2 2.608814+2 3.981072+2 3.304764+2 5.011872+2 4.184733+2 6.309573+2 5.297137+2 7.943282+2 6.703087+2 1.000000+3 8.479709+2 1.258925+3 1.072435+3 1.584893+3 1.355974+3 1.995262+3 1.714086+3 2.511886+3 2.166323+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.190000-6 1.365908+6 6.606934-6 9.632778+5 6.900000-6 7.583500+5 7.161434-6 6.144819+5 7.413102-6 5.025440+5 7.700000-6 4.003210+5 7.780000-6 3.755477+5 7.780000-6 6.246356+6 7.943282-6 6.378202+6 8.070000-6 6.485006+6 8.070000-6 1.021163+7 8.222426-6 1.044595+7 8.500000-6 1.088709+7 8.700000-6 1.121551+7 8.770000-6 1.132805+7 9.015711-6 1.172942+7 9.280000-6 1.217193+7 9.332543-6 1.226107+7 9.500000-6 1.253073+7 9.700000-6 1.285686+7 9.930000-6 1.323704+7 1.011579-5 1.354781+7 1.015000-5 1.360137+7 1.035142-5 1.391820+7 1.055000-5 1.423314+7 1.077000-5 1.458480+7 1.100000-5 1.495531+7 1.109175-5 1.509738+7 1.122018-5 1.529174+7 1.142000-5 1.559524+7 1.168800-5 1.600431+7 1.216186-5 1.673266+7 1.230269-5 1.693588+7 1.250000-5 1.722111+7 1.265000-5 1.743829+7 1.275000-5 1.758324+7 1.287500-5 1.776460+7 1.295000-5 1.787350+7 1.305000-5 1.801881+7 1.315000-5 1.816422+7 1.325000-5 1.830974+7 1.333521-5 1.843381+7 1.342000-5 1.855735+7 1.350000-5 1.867397+7 1.357000-5 1.876981+7 1.365000-5 1.887937+7 1.372000-5 1.897524+7 1.380384-5 1.909007+7 1.391300-5 1.923961+7 1.400000-5 1.935880+7 1.412538-5 1.953060+7 1.425000-5 1.970138+7 1.440000-5 1.990696+7 1.455000-5 2.011256+7 1.479108-5 2.044303+7 1.531087-5 2.115562+7 1.560000-5 2.152726+7 1.590000-5 2.191241+7 1.621810-5 2.232030+7 1.650000-5 2.268132+7 1.680000-5 2.306507+7 1.698244-5 2.329820+7 1.710000-5 2.344379+7 1.717908-5 2.354165+7 1.740000-5 2.380127+7 1.778279-5 2.424999+7 1.819701-5 2.473399+7 1.862087-5 2.522762+7 1.905461-5 2.567961+7 1.950000-5 2.614126+7 2.000000-5 2.665661+7 2.055000-5 2.714042+7 2.113489-5 2.765010+7 2.170000-5 2.804156+7 2.230000-5 2.845195+7 2.238721-5 2.849506+7 2.317395-5 2.887932+7 2.330000-5 2.894013+7 2.400000-5 2.913504+7 2.426610-5 2.920795+7 2.500000-5 2.924902+7 2.528300-5 2.926453+7 2.610000-5 2.913815+7 2.691535-5 2.885892+7 2.730000-5 2.864832+7 2.786121-5 2.834897+7 2.851018-5 2.787626+7 2.870000-5 2.774149+7 2.951209-5 2.703010+7 3.000000-5 2.653067+7 3.040000-5 2.613398+7 3.126079-5 2.516825+7 3.162278-5 2.471587+7 3.230000-5 2.390441+7 3.330000-5 2.261774+7 3.350000-5 2.234342+7 3.427678-5 2.132370+7 3.540000-5 1.982437+7 3.570000-5 1.941353+7 3.650000-5 1.837468+7 3.770000-5 1.684067+7 3.801894-5 1.643223+7 3.900000-5 1.525638+7 4.030000-5 1.376840+7 4.073803-5 1.328058+7 4.168694-5 1.229845+7 4.315191-5 1.088298+7 4.400000-5 1.011739+7 4.475300-5 9.494043+6 4.623810-5 8.344525+6 4.655000-5 8.114426+6 4.655000-5 1.145158+7 4.710000-5 1.100904+7 4.770000-5 1.053185+7 4.786301-5 1.040186+7 4.850000-5 9.894281+6 4.950000-5 9.136481+6 4.954502-5 9.103259+6 4.960000-5 9.061388+6 4.960000-5 1.064102+7 5.011872-5 1.024482+7 5.069907-5 9.813886+6 5.128614-5 9.387065+6 5.188000-5 8.960214+6 5.190000-5 8.946077+6 5.279400-5 8.334878+6 5.300000-5 8.199667+6 5.370318-5 7.746477+6 5.400000-5 7.562505+6 5.450000-5 7.261949+6 5.500000-5 6.968600+6 5.580000-5 6.525856+6 5.623413-5 6.298164+6 5.650000-5 6.159884+6 5.800000-5 5.440573+6 5.850000-5 5.218939+6 5.900000-5 5.006766+6 5.956621-5 4.778384+6 6.095369-5 4.260933+6 6.237348-5 3.790093+6 6.400000-5 3.318582+6 6.531306-5 2.982248+6 6.580000-5 2.869462+6 6.606934-5 2.808076+6 6.760830-5 2.487460+6 6.839116-5 2.339332+6 6.950000-5 2.150528+6 7.079458-5 1.950662+6 7.161434-5 1.838160+6 7.328245-5 1.632181+6 7.350000-5 1.608019+6 7.400000-5 1.553977+6 7.500000-5 1.452394+6 7.585000-5 1.375115+6 7.585000-5 1.547524+6 7.585776-5 1.546865+6 7.736000-5 1.427399+6 7.762471-5 1.408427+6 7.950000-5 1.286215+6 8.000000-5 1.257243+6 8.035261-5 1.237686+6 8.080000-5 1.214011+6 8.150000-5 1.178805+6 8.222426-5 1.145683+6 8.230000-5 1.142290+6 8.300000-5 1.112051+6 8.400000-5 1.072586+6 8.413951-5 1.067535+6 8.511380-5 1.034054+6 8.530000-5 1.027943+6 8.650000-5 9.913708+5 8.738900-5 9.677407+5 8.770000-5 9.600792+5 8.830000-5 9.458766+5 8.868500-5 9.371821+5 8.912509-5 9.276030+5 8.970000-5 9.161504+5 9.000000-5 9.104026+5 9.015711-5 9.075002+5 9.070000-5 8.979357+5 9.120108-5 8.894569+5 9.150000-5 8.846459+5 9.225714-5 8.729292+5 9.230000-5 8.723406+5 9.240200-5 8.709892+5 9.332543-5 8.592548+5 9.440609-5 8.468831+5 9.500000-5 8.407549+5 9.549926-5 8.357969+5 9.660509-5 8.267824+5 9.772372-5 8.187301+5 9.900000-5 8.111325+5 1.000000-4 8.066299+5 1.005000-4 8.046999+5 1.015000-4 8.012843+5 1.020000-4 7.997488+5 1.023293-4 7.988545+5 1.030000-4 7.973036+5 1.040000-4 7.956116+5 1.050000-4 7.942906+5 1.060000-4 7.932879+5 1.071519-4 7.933252+5 1.096478-4 7.943566+5 1.100000-4 7.946576+5 1.109175-4 7.953416+5 1.135011-4 7.988502+5 1.150000-4 8.015543+5 1.170000-4 8.051902+5 1.174898-4 8.062360+5 1.190000-4 8.095637+5 1.205000-4 8.127540+5 1.220000-4 8.159141+5 1.244515-4 8.212312+5 1.258925-4 8.242761+5 1.280000-4 8.284660+5 1.288250-4 8.301406+5 1.318257-4 8.357762+5 1.330000-4 8.376856+5 1.350000-4 8.405341+5 1.365000-4 8.426652+5 1.390000-4 8.458080+5 1.396368-4 8.465342+5 1.400000-4 8.468925+5 1.430000-4 8.492639+5 1.445440-4 8.503220+5 1.450000-4 8.506433+5 1.480000-4 8.520580+5 1.500000-4 8.524716+5 1.531087-4 8.524989+5 1.548817-4 8.520943+5 1.580000-4 8.508192+5 1.584893-4 8.505789+5 1.611900-4 8.489279+5 1.650000-4 8.459491+5 1.670000-4 8.441685+5 1.678804-4 8.432264+5 1.698244-4 8.409432+5 1.717908-4 8.384607+5 1.737801-4 8.357682+5 1.757924-4 8.327859+5 1.778279-4 8.298332+5 1.800000-4 8.265301+5 1.840772-4 8.198144+5 1.850000-4 8.182282+5 1.862087-4 8.160331+5 1.880000-4 8.126419+5 1.930000-4 8.026741+5 1.972423-4 7.941432+5 2.000000-4 7.883156+5 2.018366-4 7.843316+5 2.065380-4 7.737532+5 2.113489-4 7.625053+5 2.162719-4 7.510378+5 2.187762-4 7.448404+5 2.213095-4 7.385980+5 2.264644-4 7.258874+5 2.270000-4 7.245740+5 2.317395-4 7.127019+5 2.350000-4 7.045660+5 2.371374-4 6.991773+5 2.398833-4 6.922875+5 2.454709-4 6.781758+5 2.540973-4 6.567593+5 2.570396-4 6.493423+5 2.600160-4 6.419247+5 2.630700-4 6.343283+5 2.630700-4 7.626401+5 2.641000-4 7.603974+5 2.652000-4 7.588093+5 2.662000-4 7.584021+5 2.670100-4 7.589922+5 2.670100-4 8.486802+5 2.677000-4 8.497205+5 2.685000-4 8.525068+5 2.690000-4 8.550772+5 2.691535-4 8.559988+5 2.692000-4 8.562753+5 2.697000-4 8.599642+5 2.700000-4 8.626282+5 2.703000-4 8.655686+5 2.708000-4 8.714319+5 2.710000-4 8.739901+5 2.714000-4 8.798617+5 2.715000-4 8.814372+5 2.721000-4 8.921519+5 2.722000-4 8.940858+5 2.722701-4 8.955626+5 2.727000-4 9.048501+5 2.728000-4 9.072333+5 2.734000-4 9.226434+5 2.735000-4 9.254004+5 2.740000-4 9.406503+5 2.743000-4 9.505214+5 2.746000-4 9.612431+5 2.750000-4 9.765749+5 2.752000-4 9.848303+5 2.754229-4 9.945319+5 2.759000-4 1.016213+6 2.760000-4 1.021049+6 2.766000-4 1.052340+6 2.774000-4 1.099187+6 2.781000-4 1.145349+6 2.786121-4 1.182510+6 2.788000-4 1.196784+6 2.790000-4 1.212577+6 2.796000-4 1.261479+6 2.800000-4 1.296679+6 2.803000-4 1.324318+6 2.807000-4 1.361499+6 2.815000-4 1.442261+6 2.823000-4 1.528245+6 2.830000-4 1.607431+6 2.833000-4 1.643121+6 2.840000-4 1.727825+6 2.850000-4 1.853380+6 2.851018-4 1.866302+6 2.858000-4 1.956761+6 2.861000-4 1.995555+6 2.869000-4 2.102307+6 2.877000-4 2.208011+6 2.880000-4 2.248625+6 2.885000-4 2.314441+6 2.891000-4 2.394569+6 2.895000-4 2.447106+6 2.900000-4 2.512734+6 2.904000-4 2.563956+6 2.912000-4 2.666579+6 2.915000-4 2.704125+6 2.917427-4 2.733738+6 2.923000-4 2.803288+6 2.926000-4 2.839525+6 2.935000-4 2.947347+6 2.945000-4 3.060722+6 2.950000-4 3.116866+6 2.958000-4 3.203047+6 2.965000-4 3.277139+6 2.969000-4 3.317645+6 2.980000-4 3.427478+6 2.995000-4 3.566079+6 3.000000-4 3.611497+6 3.007000-4 3.670889+6 3.022000-4 3.795910+6 3.040000-4 3.932145+6 3.054921-4 4.033622+6 3.057000-4 4.047958+6 3.065000-4 4.100216+6 3.080000-4 4.190076+6 3.090295-4 4.248770+6 3.100000-4 4.299035+6 3.115000-4 4.371780+6 3.126079-4 4.420293+6 3.140000-4 4.476373+6 3.150000-4 4.512170+6 3.165000-4 4.561488+6 3.172000-4 4.581108+6 3.200000-4 4.651180+6 3.235937-4 4.709734+6 3.240000-4 4.714984+6 3.273407-4 4.743939+6 3.280000-4 4.747733+6 3.311311-4 4.754708+6 3.320000-4 4.756635+6 3.335000-4 4.756207+6 3.350000-4 4.751969+6 3.370000-4 4.746280+6 3.390000-4 4.737408+6 3.430000-4 4.712169+6 3.467369-4 4.684714+6 3.507519-4 4.655575+6 3.548134-4 4.617564+6 3.630781-4 4.542388+6 3.672823-4 4.495613+6 3.722400-4 4.441637+6 3.758374-4 4.403238+6 3.801894-4 4.348482+6 3.850000-4 4.289391+6 3.890451-4 4.233046+6 3.981072-4 4.111447+6 4.000000-4 4.085465+6 4.027170-4 4.045926+6 4.073803-4 3.979381+6 4.120975-4 3.913934+6 4.150000-4 3.874531+6 4.216965-4 3.782954+6 4.249500-4 3.737816+6 4.249500-4 4.119951+6 4.315191-4 4.038961+6 4.415704-4 3.921446+6 4.452400-4 3.877665+6 4.452400-4 4.001439+6 4.459000-4 3.999668+6 4.463000-4 3.998198+6 4.466836-4 3.996464+6 4.468000-4 3.995885+6 4.475000-4 3.991744+6 4.485000-4 3.984844+6 4.494000-4 3.978056+6 4.500000-4 3.973149+6 4.505000-4 3.968850+6 4.518559-4 3.956465+6 4.520000-4 3.955162+6 4.535000-4 3.940874+6 4.550000-4 3.926114+6 4.573000-4 3.902741+6 4.595000-4 3.879728+6 4.623810-4 3.848860+6 4.650000-4 3.819339+6 4.655000-4 3.813579+6 4.677351-4 3.787314+6 4.685000-4 3.778396+6 4.700000-4 3.760606+6 4.731513-4 3.721975+6 4.750000-4 3.699275+6 4.786301-4 3.654148+6 4.850000-4 3.577159+6 4.897788-4 3.518934+6 4.954502-4 3.451834+6 5.011872-4 3.383937+6 5.069907-4 3.317420+6 5.150000-4 3.229060+6 5.188000-4 3.187563+6 5.248075-4 3.123684+6 5.334200-4 3.032213+6 5.334200-4 3.165561+6 5.400000-4 3.096966+6 5.440900-4 3.055398+6 5.495409-4 3.001382+6 5.559043-4 2.940240+6 5.623413-4 2.879444+6 5.650000-4 2.854922+6 5.688529-4 2.819173+6 5.754399-4 2.759589+6 5.900000-4 2.634388+6 5.930000-4 2.609344+6 6.000000-4 2.552271+6 6.025596-4 2.531893+6 6.095369-4 2.476316+6 6.100000-4 2.472696+6 6.165950-4 2.421584+6 6.200000-4 2.395785+6 6.237348-4 2.367853+6 6.456542-4 2.211737+6 6.531306-4 2.161238+6 6.606934-4 2.111969+6 6.760830-4 2.015985+6 6.839116-4 1.969277+6 7.000000-4 1.878446+6 7.079458-4 1.835814+6 7.161434-4 1.792751+6 7.328245-4 1.709369+6 7.413102-4 1.668793+6 7.500000-4 1.628771+6 7.585776-4 1.590455+6 7.673615-4 1.552298+6 7.852356-4 1.477796+6 7.943282-4 1.441982+6 8.000000-4 1.420119+6 8.128305-4 1.372255+6 8.317638-4 1.305526+6 8.511380-4 1.241630+6 8.609938-4 1.210822+6 8.810489-4 1.151613+6 8.912509-4 1.122950+6 9.015711-4 1.095045+6 9.120108-4 1.067695+6 9.225714-4 1.040747+6 9.332543-4 1.014456+6 9.440609-4 9.887945+5 9.500000-4 9.751039+5 9.660509-4 9.394997+5 9.772372-4 9.156518+5 1.000000-3 8.694792+5 1.011579-3 8.470811+5 1.023293-3 8.252078+5 1.047129-3 7.832193+5 1.059254-3 7.630788+5 1.071519-3 7.433577+5 1.083927-3 7.241686+5 1.110000-3 6.858040+5 1.122018-3 6.689780+5 1.150000-3 6.321252+5 1.161449-3 6.179099+5 1.174898-3 6.018111+5 1.190000-3 5.843524+5 1.202264-3 5.706095+5 1.230269-3 5.408655+5 1.273503-3 4.989919+5 1.288250-3 4.857104+5 1.303167-3 4.727890+5 1.318257-3 4.601799+5 1.333521-3 4.479030+5 1.348963-3 4.359005+5 1.364583-3 4.242339+5 1.412538-3 3.909149+5 1.428894-3 3.803668+5 1.445440-3 3.700800+5 1.479108-3 3.503635+5 1.513561-3 3.316592+5 1.531087-3 3.227033+5 1.548817-3 3.139425+5 1.584893-3 2.970010+5 1.621810-3 2.809557+5 1.640590-3 2.732693+5 1.659587-3 2.658036+5 1.698244-3 2.514472+5 1.717908-3 2.445335+5 1.737801-3 2.377712+5 1.757924-3 2.311795+5 1.778279-3 2.247793+5 1.819701-3 2.125099+5 1.850000-3 2.041375+5 1.905461-3 1.899656+5 1.949845-3 1.794927+5 1.950000-3 1.794576+5 1.972423-3 1.744646+5 2.018366-3 1.648458+5 2.041738-3 1.602470+5 2.070000-3 1.549132+5 2.113489-3 1.471707+5 2.137962-3 1.430290+5 2.150000-3 1.410527+5 2.162719-3 1.389895+5 2.238721-3 1.275275+5 2.290868-3 1.204415+5 2.344229-3 1.137624+5 2.371374-3 1.105330+5 2.398833-3 1.073878+5 2.400000-3 1.072569+5 2.483133-3 9.843751+4 2.570396-3 9.026579+4 2.630268-3 8.521096+4 2.660725-3 8.276929+4 2.677600-3 8.144853+4 2.677600-3 2.901591+5 2.691535-3 2.863331+5 2.733000-3 2.753573+5 2.786121-3 2.627625+5 2.797900-3 2.599672+5 2.797900-3 3.596258+5 2.818383-3 3.529584+5 2.851018-3 3.426870+5 2.884032-3 3.327111+5 2.917427-3 3.230265+5 2.951209-3 3.138268+5 2.985383-3 3.050223+5 3.000000-3 3.013595+5 3.019952-3 2.963385+5 3.020000-3 2.963263+5 3.022400-3 2.957192+5 3.022400-3 3.391859+5 3.044000-3 3.333181+5 3.162278-3 3.036161+5 3.198895-3 2.951920+5 3.230000-3 2.881796+5 3.235937-3 2.868642+5 3.300000-3 2.730424+5 3.311311-3 2.706978+5 3.349654-3 2.629570+5 3.388442-3 2.554333+5 3.467369-3 2.410425+5 3.507519-3 2.341588+5 3.548134-3 2.274349+5 3.630781-3 2.145029+5 3.715352-3 2.022503+5 3.758374-3 1.963875+5 3.845918-3 1.851680+5 3.900000-3 1.786862+5 3.935501-3 1.745907+5 4.027170-3 1.646008+5 4.120975-3 1.551957+5 4.216965-3 1.463396+5 4.265795-3 1.420984+5 4.300000-3 1.392297+5 4.365158-3 1.339307+5 4.415704-3 1.299960+5 4.466836-3 1.261852+5 4.500000-3 1.237976+5 4.623810-3 1.154249+5 4.677351-3 1.120496+5 4.731513-3 1.087566+5 4.800000-3 1.047828+5 4.841724-3 1.024475+5 4.900000-3 9.930625+4 4.954502-3 9.646791+4 5.011872-3 9.360186+4 5.128614-3 8.812916+4 5.308844-3 8.052703+4 5.432503-3 7.581842+4 5.623413-3 6.918158+4 5.754399-3 6.506246+4 6.000000-3 5.821645+4 6.025596-3 5.756168+4 6.095369-3 5.582827+4 6.165950-3 5.414833+4 6.309573-3 5.093906+4 6.382635-3 4.939804+4 6.456542-3 4.790357+4 6.500000-3 4.704907+4 6.760830-3 4.234249+4 6.800000-3 4.169071+4 6.839116-3 4.105337+4 6.918310-3 3.980380+4 7.000000-3 3.856984+4 7.161434-3 3.627280+4 7.244360-3 3.515806+4 7.328245-3 3.407848+4 7.500000-3 3.200788+4 7.673615-3 3.008111+4 7.762471-3 2.915680+4 8.000000-3 2.687266+4 8.035261-3 2.655509+4 8.128305-3 2.574084+4 8.222426-3 2.494658+4 8.413951-3 2.343258+4 8.609938-3 2.201261+4 8.709636-3 2.133085+4 8.810489-3 2.067041+4 8.912509-3 2.003035+4 9.015711-3 1.940789+4 9.225714-3 1.822204+4 9.332543-3 1.765672+4 9.440609-3 1.710675+4 9.660509-3 1.605888+4 9.885531-3 1.507678+4 1.000000-2 1.460886+4 1.011579-2 1.415583+4 1.023293-2 1.371463+4 1.047129-2 1.287347+4 1.059254-2 1.246989+4 1.071519-2 1.207928+4 1.109175-2 1.097720+4 1.122018-2 1.063319+4 1.135011-2 1.030004+4 1.161449-2 9.665510+3 1.202264-2 8.783904+3 1.210000-2 8.629367+3 1.216186-2 8.508377+3 1.230269-2 8.241593+3 1.244515-2 7.981384+3 1.273503-2 7.484724+3 1.288250-2 7.248380+3 1.303167-2 7.019583+3 1.350000-2 6.362894+3 1.396368-2 5.791105+3 1.400000-2 5.749336+3 1.412538-2 5.608162+3 1.428894-2 5.431117+3 1.462177-2 5.090935+3 1.479108-2 4.929127+3 1.500000-2 4.739098+3 1.531087-2 4.474466+3 1.580000-2 4.097820+3 1.603245-2 3.933418+3 1.621810-2 3.808510+3 1.640590-2 3.686869+3 1.659587-2 3.569072+3 1.678804-2 3.455129+3 1.717908-2 3.237778+3 1.737801-2 3.134394+3 1.798871-2 2.843990+3 1.840772-2 2.665829+3 1.862087-2 2.580702+3 1.883649-2 2.497734+3 1.905461-2 2.417493+3 1.949845-2 2.264653+3 1.972423-2 2.191981+3 2.000000-2 2.107501+3 2.018366-2 2.053591+3 2.041738-2 1.987668+3 2.101200-2 1.832582+3 2.101200-2 1.207744+4 2.116000-2 1.188735+4 2.120000-2 1.183672+4 2.150000-2 1.143932+4 2.162719-2 1.125383+4 2.190000-2 1.086891+4 2.213095-2 1.058570+4 2.238721-2 1.028345+4 2.264644-2 9.989814+3 2.344229-2 9.114718+3 2.371374-2 8.840480+3 2.398833-2 8.574520+3 2.400000-2 8.563463+3 2.426610-2 8.316524+3 2.454709-2 8.070371+3 2.483133-2 7.831524+3 2.540973-2 7.374916+3 2.570396-2 7.156448+3 2.600160-2 6.944384+3 2.630268-2 6.738638+3 2.700000-2 6.293429+3 2.722701-2 6.153403+3 2.786121-2 5.784234+3 2.884032-2 5.271725+3 2.917427-2 5.111218+3 2.951209-2 4.955574+3 2.985383-2 4.804684+3 3.054921-2 4.516254+3 3.090295-2 4.378569+3 3.230000-2 3.887736+3 3.273407-2 3.748113+3 3.311311-2 3.631746+3 3.427678-2 3.303928+3 3.467369-2 3.201379+3 3.589219-2 2.912177+3 3.630781-2 2.821703+3 3.715352-2 2.649092+3 3.801894-2 2.487022+3 3.890451-2 2.334901+3 4.027170-2 2.124036+3 4.073803-2 2.056785+3 4.120975-2 1.991669+3 4.315191-2 1.751209+3 4.415704-2 1.642101+3 4.518559-2 1.539806+3 4.570882-2 1.491072+3 4.623810-2 1.443875+3 4.731513-2 1.353925+3 4.841724-2 1.269494+3 5.011872-2 1.152635+3 5.128614-2 1.079668+3 5.308844-2 9.787839+2 5.432503-2 9.168312+2 5.495409-2 8.873441+2 5.623413-2 8.311906+2 5.754399-2 7.785392+2 5.821032-2 7.534791+2 6.025596-2 6.830445+2 6.095369-2 6.610602+2 6.237348-2 6.191859+2 6.309573-2 5.990070+2 6.531306-2 5.423356+2 6.606934-2 5.246650+2 6.683439-2 5.075707+2 6.839116-2 4.750032+2 6.998420-2 4.445283+2 7.161434-2 4.160107+2 7.328245-2 3.893254+2 7.585776-2 3.524699+2 7.762471-2 3.298619+2 8.000000-2 3.021772+2 8.128305-2 2.885139+2 8.317638-2 2.698095+2 9.000000-2 2.144836+2 9.015711-2 2.133975+2 9.225714-2 1.995651+2 9.332543-2 1.929892+2 9.885531-2 1.632241+2 1.000000-1 1.578042+2 1.011580-1 1.525643+2 1.035142-1 1.425929+2 1.047129-1 1.378546+2 1.071519-1 1.288460+2 1.083927-1 1.245653+2 1.096478-1 1.204271+2 1.109175-1 1.164264+2 1.122019-1 1.125582+2 1.188502-1 9.506415+1 1.258925-1 8.029095+1 1.273503-1 7.762427+1 1.288250-1 7.504625+1 1.303167-1 7.255405+1 1.318257-1 7.014484+1 1.348963-1 6.556398+1 1.380384-1 6.128110+1 1.412538-1 5.727851+1 1.462177-1 5.176002+1 1.479108-1 5.004139+1 1.496236-1 4.837977+1 1.531088-1 4.522045+1 1.548817-1 4.371912+1 1.566751-1 4.226770+1 1.640590-1 3.694178+1 1.678804-1 3.453653+1 1.757924-1 3.018590+1 1.819701-1 2.728673+1 1.840772-1 2.638363+1 1.862087-1 2.551052+1 1.905461-1 2.385004+1 1.927525-1 2.306093+1 1.972423-1 2.156094+1 2.041738-1 1.949201+1 2.065380-1 1.884749+1 2.089296-1 1.823065+1 2.113489-1 1.763401+1 2.137962-1 1.705692+1 2.187762-1 1.595879+1 2.213095-1 1.543662+1 2.238721-1 1.493163+1 2.264644-1 1.444315+1 2.290868-1 1.397066+1 2.299100-1 1.382663+1 2.344229-1 1.307168+1 2.371374-1 1.264415+1 2.398833-1 1.223061+1 2.454709-1 1.144371+1 2.483133-1 1.106998+1 2.511886-1 1.071335+1 2.630268-1 9.398260+0 2.660725-1 9.095546+0 2.667320-1 9.031739+0 2.691535-1 8.802640+0 2.722701-1 8.519201+0 2.754229-1 8.244923+0 2.786121-1 7.979527+0 2.884032-1 7.233531+0 2.900000-1 7.121090+0 2.917427-1 7.002944+0 2.951209-1 6.781408+0 2.985383-1 6.566879+0 3.000000-1 6.477934+0 3.019952-1 6.359150+0 3.054921-1 6.157981+0 3.126079-1 5.774593+0 3.162278-1 5.591995+0 3.235937-1 5.243949+0 3.273407-1 5.078139+0 3.311311-1 4.917582+0 3.349654-1 4.762106+0 3.388442-1 4.614497+0 3.507519-1 4.198685+0 3.548134-1 4.068582+0 3.589219-1 3.942513+0 3.630781-1 3.820387+0 3.672823-1 3.702050+0 3.715352-1 3.587382+0 3.758374-1 3.476282+0 3.801894-1 3.368632+0 3.845918-1 3.266541+0 3.935501-1 3.071549+0 4.000000-1 2.940939+0 4.027170-1 2.888201+0 4.073803-1 2.800675+0 4.120975-1 2.715849+0 4.168694-1 2.633591+0 4.216965-1 2.553827+0 4.265795-1 2.476494+0 4.315191-1 2.403061+0 4.365158-1 2.331963+0 4.415705-1 2.262967+0 4.466836-1 2.196017+0 4.570882-1 2.068020+0 4.623810-1 2.006872+0 4.677351-1 1.947533+0 4.731513-1 1.889955+0 4.786301-1 1.835301+0 4.841724-1 1.782228+0 4.897788-1 1.730812+0 5.069907-1 1.585316+0 5.128614-1 1.539607+0 5.188000-1 1.495217+0 5.248075-1 1.452113+0 5.308844-1 1.411232+0 5.370318-1 1.371502+0 5.623413-1 1.223829+0 5.688529-1 1.189481+0 5.754399-1 1.156098+0 5.821032-1 1.123657+0 5.888437-1 1.092914+0 5.956621-1 1.063019+0 6.095369-1 1.005811+0 6.237348-1 9.516821-1 6.309573-1 9.257331-1 6.382635-1 9.004963-1 6.456542-1 8.765865-1 6.606935-1 8.306664-1 6.623700-1 8.257617-1 6.760830-1 7.872806-1 6.839117-1 7.664527-1 6.918310-1 7.461761-1 6.998420-1 7.264498-1 7.079458-1 7.072450-1 7.161434-1 6.890837-1 7.328245-1 6.541515-1 7.413102-1 6.374028-1 7.498942-1 6.210828-1 7.585776-1 6.051808-1 7.673615-1 5.896885-1 7.762471-1 5.746030-1 7.852356-1 5.599035-1 7.943282-1 5.459816-1 8.035261-1 5.324071-1 8.128305-1 5.191701-1 8.222427-1 5.062983-1 8.317638-1 4.937457-1 8.413951-1 4.815063-1 8.511380-1 4.695703-1 8.609938-1 4.579370-1 8.709636-1 4.465944-1 9.015711-1 4.152457-1 9.120108-1 4.052952-1 9.225714-1 3.955836-1 9.332543-1 3.861383-1 9.440609-1 3.769244-1 9.549926-1 3.679305-1 9.660509-1 3.594560-1 9.772372-1 3.511789-1 9.885531-1 3.430950-1 1.000000+0 3.351971-1 1.011579+0 3.275091-1 1.022000+0 3.208133-1 1.035142+0 3.126608-1 1.047129+0 3.054934-1 1.059254+0 2.984923-1 1.071519+0 2.916522-1 1.083927+0 2.851144-1 1.109175+0 2.724754-1 1.122018+0 2.663680-1 1.135011+0 2.603982-1 1.148154+0 2.545636-1 1.161449+0 2.488781-1 1.174898+0 2.433238-1 1.188600+0 2.378554-1 1.202264+0 2.327908-1 1.216186+0 2.277997-1 1.244515+0 2.181363-1 1.250000+0 2.163379-1 1.273503+0 2.088846-1 1.288250+0 2.044220-1 1.318257+0 1.957849-1 1.333521+0 1.916044-1 1.348963+0 1.875133-1 1.364583+0 1.835099-1 1.380384+0 1.796952-1 1.396368+0 1.759605-1 1.412538+0 1.723032-1 1.428894+0 1.687223-1 1.462177+0 1.618041-1 1.513561+0 1.519607-1 1.531087+0 1.488145-1 1.548817+0 1.458393-1 1.584893+0 1.400666-1 1.603245+0 1.372666-1 1.621810+0 1.345315-1 1.640590+0 1.318526-1 1.698244+0 1.241319-1 1.717908+0 1.216603-1 1.737801+0 1.193138-1 1.757924+0 1.170130-1 1.798871+0 1.125436-1 1.819701+0 1.103805-1 1.840772+0 1.082607-1 1.905461+0 1.021425-1 1.927525+0 1.001809-1 1.949845+0 9.831895-2 1.972423+0 9.649190-2 2.000000+0 9.433359-2 2.018366+0 9.293905-2 2.044000+0 9.105388-2 2.065380+0 8.952952-2 2.137962+0 8.465053-2 2.162719+0 8.308398-2 2.187762+0 8.154648-2 2.213095+0 8.008498-2 2.238721+0 7.864989-2 2.264644+0 7.724052-2 2.290868+0 7.585635-2 2.317395+0 7.450148-2 2.344229+0 7.317181-2 2.426610+0 6.932362-2 2.454709+0 6.808639-2 2.483133+0 6.687127-2 2.511886+0 6.571540-2 2.540973+0 6.457963-2 2.570396+0 6.346352-2 2.600160+0 6.236669-2 2.630268+0 6.129238-2 2.660725+0 6.023736-2 2.691535+0 5.920052-2 2.786121+0 5.619591-2 2.818383+0 5.522864-2 2.851018+0 5.427804-2 2.884032+0 5.337268-2 2.917427+0 5.248258-2 2.951209+0 5.160732-2 2.985383+0 5.074664-2 3.019952+0 4.990318-2 3.054921+0 4.907441-2 3.090295+0 4.825942-2 3.198895+0 4.589476-2 3.235937+0 4.513256-2 3.273407+0 4.438305-2 3.311311+0 4.366828-2 3.349654+0 4.296512-2 3.388442+0 4.227327-2 3.467369+0 4.092284-2 3.507519+0 4.026603-2 3.548134+0 3.962026-2 3.589219+0 3.898487-2 3.715352+0 3.713917-2 3.758374+0 3.654356-2 3.801894+0 3.595750-2 3.845918+0 3.539814-2 3.890451+0 3.484757-2 3.935501+0 3.430554-2 4.027170+0 3.324668-2 4.073803+0 3.273114-2 4.120975+0 3.222388-2 4.168694+0 3.172456-2 4.216965+0 3.123299-2 4.365158+0 2.980353-2 4.415704+0 2.934174-2 4.466836+0 2.888709-2 4.518559+0 2.845288-2 4.570882+0 2.802525-2 4.623810+0 2.760405-2 4.731513+0 2.678055-2 4.786301+0 2.637931-2 4.841724+0 2.598430-2 4.897788+0 2.559527-2 5.000000+0 2.491191-2 5.188000+0 2.373582-2 5.248075+0 2.338046-2 5.308844+0 2.303043-2 5.370318+0 2.269568-2 5.432503+0 2.236584-2 5.495409+0 2.204079-2 5.623413+0 2.140480-2 5.688529+0 2.109464-2 5.754399+0 2.078914-2 5.821032+0 2.048812-2 6.000000+0 1.971702-2 6.237348+0 1.877138-2 6.309573+0 1.849958-2 6.382635+0 1.823172-2 6.456542+0 1.797491-2 6.531306+0 1.772175-2 6.606934+0 1.747215-2 6.760830+0 1.698346-2 6.839116+0 1.674493-2 7.000000+0 1.627359-2 7.079458+0 1.604962-2 7.328245+0 1.538327-2 7.673615+0 1.453765-2 7.762471+0 1.433360-2 7.852356+0 1.413806-2 7.943282+0 1.394520-2 8.000000+0 1.382734-2 8.035261+0 1.375499-2 8.222427+0 1.338233-2 8.317638+0 1.320034-2 8.413951+0 1.302091-2 8.511380+0 1.284396-2 8.912509+0 1.215986-2 9.440609+0 1.135576-2 9.660509+0 1.104921-2 9.772372+0 1.090251-2 1.000000+1 1.061496-2 1.011579+1 1.047406-2 1.023293+1 1.033502-2 1.047129+1 1.006246-2 1.059254+1 9.929247-3 1.071519+1 9.797871-3 1.083927+1 9.668242-3 1.122018+1 9.289583-3 1.174898+1 8.807659-3 1.200000+1 8.594887-3 1.202264+1 8.576600-3 1.230269+1 8.356340-3 1.244515+1 8.248352-3 1.258925+1 8.141767-3 1.273503+1 8.036551-3 1.333521+1 7.629122-3 1.364583+1 7.433701-3 1.380384+1 7.337922-3 1.400000+1 7.222227-3 1.445440+1 6.967034-3 1.500000+1 6.682292-3 1.531087+1 6.529685-3 1.566751+1 6.366087-3 1.600000+1 6.220476-3 1.621810+1 6.128367-3 1.659587+1 5.974839-3 1.757924+1 5.607636-3 1.800000+1 5.463692-3 1.819701+1 5.398718-3 1.862087+1 5.263832-3 1.905461+1 5.132316-3 2.000000+1 4.866365-3 2.041738+1 4.757163-3 2.113489+1 4.583521-3 2.187762+1 4.416231-3 2.213095+1 4.361836-3 2.264644+1 4.255050-3 2.371374+1 4.049252-3 2.400000+1 3.997382-3 2.426610+1 3.950319-3 2.483133+1 3.853827-3 2.570396+1 3.713492-3 2.754229+1 3.447970-3 2.851018+1 3.322416-3 2.884032+1 3.281590-3 2.985383+1 3.164305-3 3.054921+1 3.088460-3 3.090295+1 3.051221-3 3.162278+1 2.978085-3 3.235937+1 2.906703-3 3.273407+1 2.871656-3 3.311311+1 2.837087-3 3.388442+1 2.769211-3 3.507519+1 2.670439-3 3.801894+1 2.453458-3 4.216965+1 2.200185-3 4.315191+1 2.147553-3 4.365158+1 2.121712-3 4.415704+1 2.096183-3 4.518559+1 2.046852-3 4.570882+1 2.022626-3 4.623810+1 1.998686-3 4.731513+1 1.951654-3 4.841724+1 1.905728-3 4.897788+1 1.883172-3 4.954502+1 1.860919-3 5.069907+1 1.817210-3 5.248075+1 1.753568-3 5.688529+1 1.613607-3 6.839116+1 1.334218-3 7.413102+1 1.227728-3 7.585776+1 1.198895-3 7.762471+1 1.170739-3 8.222427+1 1.104055-3 8.317638+1 1.091181-3 8.511380+1 1.065884-3 8.609938+1 1.053455-3 8.810489+1 1.029032-3 8.912509+1 1.017049-3 9.015711+1 1.005207-3 9.120108+1 9.935044-4 9.549926+1 9.480402-4 1.174898+2 7.678624-4 1.428894+2 6.292541-4 1.513561+2 5.934691-4 1.548817+2 5.797312-4 1.640590+2 5.469981-4 1.659587+2 5.406769-4 1.698244+2 5.282526-4 1.717908+2 5.221483-4 1.757924+2 5.101496-4 1.778279+2 5.042584-4 1.798871+2 4.984357-4 1.819701+2 4.926805-4 1.905461+2 4.703167-4 2.344229+2 3.815957-4 2.851018+2 3.132278-4 3.019952+2 2.955575-4 3.090295+2 2.887719-4 3.273407+2 2.725577-4 3.311311+2 2.694259-4 3.388442+2 2.632698-4 3.427678+2 2.602447-4 3.507519+2 2.542984-4 3.548134+2 2.513776-4 3.589219+2 2.484906-4 3.630781+2 2.456368-4 3.801894+2 2.345457-4 4.677351+2 1.905157-4 1.135011+3 7.828190-5 1.202264+3 7.388894-5 1.230269+3 7.220152-5 1.303167+3 6.815994-5 1.318257+3 6.737920-5 1.348963+3 6.584444-5 1.364583+3 6.509024-5 1.396368+3 6.360762-5 1.412538+3 6.287917-5 1.428894+3 6.215914-5 1.445440+3 6.144733-5 1.513561+3 5.868077-5 3.715352+3 2.389743-5 4.120975+4 2.152604-6 4.168694+4 2.127954-6 4.265795+4 2.079499-6 4.315191+4 2.055686-6 4.415704+4 2.008876-6 4.466836+4 1.985872-6 4.518559+4 1.963132-6 4.570882+4 1.940652-6 1.000000+5 8.867964-7 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.190000-6 6.190000-6 7.780000-6 6.190000-6 7.780000-6 7.684405-6 8.070000-6 7.706792-6 8.070000-6 7.839341-6 9.700000-6 7.878764-6 2.000000-5 7.892880-6 4.655000-5 7.893958-6 4.655000-5 1.017400-5 4.850000-5 1.032284-5 4.960000-5 1.037811-5 4.960000-5 1.119069-5 5.190000-5 1.135802-5 6.095369-5 1.185812-5 6.606934-5 1.220869-5 7.161434-5 1.267234-5 7.585000-5 1.306831-5 7.585000-5 1.422248-5 8.080000-5 1.500586-5 8.413951-5 1.545492-5 8.770000-5 1.582635-5 9.120108-5 1.607176-5 9.500000-5 1.621032-5 9.900000-5 1.623450-5 1.040000-4 1.614120-5 1.135011-4 1.577934-5 1.288250-4 1.513737-5 1.400000-4 1.476241-5 1.531087-4 1.442518-5 1.678804-4 1.415366-5 1.850000-4 1.393903-5 2.065380-4 1.377440-5 2.350000-4 1.366861-5 2.630700-4 1.362897-5 2.630700-4 1.581618-5 2.662000-4 1.588489-5 2.670100-4 1.592613-5 2.670100-4 1.704938-5 2.692000-4 1.721237-5 2.710000-4 1.746775-5 2.727000-4 1.783800-5 2.743000-4 1.831123-5 2.760000-4 1.893544-5 2.800000-4 2.066104-5 2.823000-4 2.160777-5 2.840000-4 2.221443-5 2.861000-4 2.283479-5 2.885000-4 2.338490-5 2.915000-4 2.388079-5 2.950000-4 2.427364-5 3.000000-4 2.463141-5 3.065000-4 2.490947-5 3.172000-4 2.515046-5 3.370000-4 2.530706-5 4.000000-4 2.542817-5 4.249500-4 2.543556-5 4.249500-4 2.703539-5 4.452400-4 2.723486-5 4.452400-4 2.772422-5 4.535000-4 2.795834-5 4.700000-4 2.816579-5 5.334200-4 2.855547-5 5.334200-4 2.973422-5 7.500000-4 3.122886-5 9.772372-4 3.249611-5 1.230269-3 3.363047-5 1.548817-3 3.478749-5 1.950000-3 3.594077-5 2.400000-3 3.696704-5 2.677600-3 3.749222-5 2.677600-3 5.526157-5 2.797900-3 5.533234-5 2.797900-3 5.790195-5 3.022400-3 5.797657-5 3.022400-3 6.139722-5 4.216965-3 6.266162-5 6.025596-3 6.413354-5 8.709636-3 6.576047-5 1.230269-2 6.736408-5 1.717908-2 6.891035-5 2.101200-2 6.982531-5 2.101200-2 7.394167-5 4.120975-2 7.439558-5 1.083927-1 7.474332-5 5.248075-1 7.494418-5 1.000000+5 7.496804-5 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.190000-6 0.0 4.655000-5 0.0 4.655000-5 7.56599-11 4.710000-5 7.73880-11 4.786301-5 7.92170-11 4.850000-5 8.06173-11 4.960000-5 8.24631-11 4.960000-5 1.20709-10 5.069907-5 1.24335-10 5.190000-5 1.27452-10 5.500000-5 1.34087-10 5.956621-5 1.43506-10 6.237348-5 1.49988-10 6.580000-5 1.58910-10 6.950000-5 1.69923-10 7.350000-5 1.83068-10 7.585000-5 1.91077-10 7.585000-5 2.05111-10 7.950000-5 2.19071-10 8.230000-5 2.28403-10 8.511380-5 2.35986-10 8.770000-5 2.41177-10 9.015711-5 2.44444-10 9.240200-5 2.46072-10 9.549926-5 2.46470-10 9.900000-5 2.44746-10 1.030000-4 2.40824-10 1.100000-4 2.31466-10 1.205000-4 2.16692-10 1.288250-4 2.06627-10 1.365000-4 1.99010-10 1.450000-4 1.92247-10 1.531087-4 1.87110-10 1.611900-4 1.82988-10 1.717908-4 1.78841-10 1.800000-4 1.76324-10 1.930000-4 1.73452-10 2.113489-4 1.70961-10 2.317395-4 1.69699-10 2.600160-4 1.69398-10 2.630700-4 1.69448-10 2.630700-4 1.92835-10 2.662000-4 1.93623-10 2.670100-4 1.94078-10 2.670100-4 8.662582-9 2.677000-4 8.625283-9 2.691535-4 8.590720-9 2.700000-4 8.594666-9 2.710000-4 8.644877-9 2.715000-4 8.686839-9 2.722701-4 8.783127-9 2.728000-4 8.865385-9 2.735000-4 9.015601-9 2.740000-4 9.138908-9 2.746000-4 9.320090-9 2.752000-4 9.532534-9 2.760000-4 9.870531-9 2.766000-4 1.015290-8 2.774000-4 1.058883-8 2.781000-4 1.101680-8 2.790000-4 1.162618-8 2.800000-4 1.237301-8 2.807000-4 1.292441-8 2.823000-4 1.426902-8 2.851018-4 1.676460-8 2.869000-4 1.831291-8 2.885000-4 1.960282-8 2.895000-4 2.034039-8 2.904000-4 2.096507-8 2.917427-4 2.179853-8 2.926000-4 2.229837-8 2.945000-4 2.325737-8 2.958000-4 2.381657-8 2.980000-4 2.460204-8 2.995000-4 2.506858-8 3.007000-4 2.539368-8 3.040000-4 2.612026-8 3.057000-4 2.644867-8 3.080000-4 2.682311-8 3.100000-4 2.710790-8 3.150000-4 2.768671-8 3.200000-4 2.811374-8 3.240000-4 2.836340-8 3.320000-4 2.872274-8 3.430000-4 2.896408-8 3.890451-4 2.936721-8 4.150000-4 2.947591-8 4.249500-4 2.946956-8 4.249500-4 3.262392-8 4.452400-4 3.304180-8 4.452400-4 3.536199-8 4.485000-4 3.585158-8 4.535000-4 3.629875-8 4.623810-4 3.678655-8 4.786301-4 3.719108-8 5.334200-4 3.813440-8 5.334200-4 4.090643-8 6.237348-4 4.272873-8 7.585776-4 4.515182-8 9.015711-4 4.736232-8 1.023293-3 4.902524-8 1.202264-3 5.114418-8 1.412538-3 5.325291-8 1.659587-3 5.535708-8 1.972423-3 5.758299-8 2.344229-3 5.974096-8 2.677600-3 6.134351-8 2.677600-3 6.956533-5 2.797900-3 6.961001-5 2.797900-3 8.144292-5 3.022400-3 8.144913-5 3.022400-3 8.373518-5 4.415704-3 8.403769-5 8.709636-3 8.393609-5 2.101200-2 8.333387-5 2.101200-2 1.245074-2 2.483133-2 1.254170-2 3.273407-2 1.265599-2 4.841724-2 1.275560-2 8.128305-2 1.282683-2 1.927525-1 1.286885-2 1.640590+0 1.289663-2 1.000000+5 1.289667-2 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.190000-6 0.0 7.780000-6 1.590000-6 7.780000-6 9.559507-8 7.943282-6 2.456226-7 8.070000-6 3.632084-7 8.070000-6 2.306594-7 8.222426-6 3.765260-7 8.500000-6 6.442469-7 9.015711-6 1.147071-6 9.930000-6 2.048985-6 1.342000-5 5.528804-6 4.655000-5 3.865604-5 4.655000-5 3.637593-5 4.960000-5 3.922181-5 4.960000-5 3.840919-5 6.606934-5 5.386049-5 7.585000-5 6.278150-5 7.585000-5 6.162732-5 8.511380-5 6.954469-5 9.240200-5 7.627261-5 1.020000-4 8.580743-5 1.500000-4 1.355039-4 2.162719-4 2.025459-4 2.630700-4 2.494409-4 2.630700-4 2.472536-4 2.670100-4 2.510837-4 2.670100-4 2.499520-4 2.740000-4 2.557765-4 2.861000-4 2.632476-4 2.969000-4 2.724450-4 3.350000-4 3.096731-4 4.249500-4 3.994850-4 4.249500-4 3.978820-4 4.452400-4 4.179721-4 4.452400-4 4.174804-4 5.334200-4 5.048264-4 5.334200-4 5.036449-4 2.162719-3 2.126206-3 2.677600-3 2.640046-3 2.677600-3 2.552773-3 2.797900-3 2.672958-3 2.797900-3 2.658555-3 3.022400-3 2.882974-3 3.022400-3 2.877268-3 2.101200-2 2.085884-2 2.101200-2 8.487317-3 2.264644-2 1.007095-2 3.090295-2 1.819376-2 5.623413-2 4.337882-2 1.000000+5 9.999999+4 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 2.101200-2 1.024486+4 2.120000-2 1.004970+4 2.150000-2 9.721880+3 2.190000-2 9.239240+3 2.264644-2 8.508772+3 2.426610-2 7.099931+3 2.700000-2 5.396700+3 3.230000-2 3.351580+3 4.027170-2 1.840348+3 5.011872-2 1.002501+3 6.237348-2 5.400081+2 7.762471-2 2.882594+2 9.885531-2 1.428576+2 1.566751-1 3.705160+1 2.065380-1 1.652725+1 2.483133-1 9.710204+0 2.900000-1 6.247172+0 3.349654-1 4.178093+0 3.801894-1 2.955788+0 4.265795-1 2.173138+0 4.731513-1 1.658637+0 5.248075-1 1.274590+0 5.821032-1 9.864414-1 6.382635-1 7.906456-1 7.079458-1 6.210483-1 7.852356-1 4.917101-1 8.709636-1 3.922541-1 9.549926-1 3.232705-1 1.071519+0 2.562975-1 1.188600+0 2.090285-1 1.364583+0 1.612811-1 1.531087+0 1.307699-1 1.717908+0 1.069072-1 1.927525+0 8.803390-2 2.187762+0 7.165913-2 2.483133+0 5.876409-2 2.851018+0 4.769794-2 3.273407+0 3.900223-2 3.801894+0 3.159852-2 4.466836+0 2.538526-2 5.308844+0 2.023862-2 6.382635+0 1.602166-2 7.762471+0 1.259605-2 9.660509+0 9.709777-3 1.200000+1 7.552900-3 1.531087+1 5.738051-3 2.041738+1 4.180445-3 2.884032+1 2.883758-3 4.415704+1 1.842098-3 7.762471+1 1.028820-3 1.548817+2 5.094726-4 3.090295+2 2.537796-4 1.230269+3 6.345356-5 1.000000+5 7.793700-7 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 2.101200-2 7.467800-5 1.000000+5 7.467800-5 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.101200-2 1.466300-2 1.000000+5 1.466300-2 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.101200-2 6.274322-3 1.000000+5 9.999999+4 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 3.022400-3 4.346679+4 3.230000-3 3.918098+4 3.630781-3 3.241348+4 3.900000-3 2.864780+4 4.415704-3 2.295616+4 4.900000-3 1.910728+4 5.308844-3 1.644472+4 6.309573-3 1.182193+4 7.000000-3 9.614240+3 8.128305-3 7.095611+3 9.332543-3 5.305394+3 1.047129-2 4.142482+3 1.230269-2 2.902240+3 1.428894-2 2.066610+3 1.621810-2 1.540655+3 1.862087-2 1.111146+3 2.162719-2 7.739330+2 2.540973-2 5.198619+2 2.985383-2 3.462881+2 3.467369-2 2.357787+2 4.027170-2 1.594910+2 4.731513-2 1.039727+2 5.623413-2 6.523943+1 6.683439-2 4.064482+1 8.128305-2 2.359114+1 1.011580-1 1.273835+1 1.348963-1 5.608997+0 1.927525-1 2.019944+0 2.454709-1 1.015590+0 2.884032-1 6.464473-1 3.349654-1 4.280664-1 3.801894-1 3.040351-1 4.315191-1 2.175344-1 4.841724-1 1.616378-1 5.370318-1 1.245686-1 5.956621-1 9.666904-2 6.623700-1 7.512910-2 7.328245-1 5.961965-2 8.128305-1 4.738547-2 9.225714-1 3.609658-2 1.000000+0 3.054703-2 1.148154+0 2.320182-2 1.273503+0 1.901498-2 1.428894+0 1.536532-2 1.603245+0 1.250912-2 1.798871+0 1.025611-2 2.018366+0 8.468444-3 2.290868+0 6.912094-3 2.600160+0 5.682339-3 2.985383+0 4.623657-3 3.467369+0 3.728216-3 4.027170+0 3.028951-3 4.731513+0 2.439753-3 5.623413+0 1.950124-3 6.760830+0 1.547437-3 8.222427+0 1.219222-3 1.047129+1 9.167248-4 1.333521+1 6.950280-4 1.757924+1 5.108426-4 2.371374+1 3.688717-4 3.273407+1 2.616370-4 4.897788+1 1.715758-4 8.810489+1 9.376334-5 1.757924+2 4.650007-5 3.507519+2 2.318155-5 1.396368+3 5.798744-6 1.000000+5 8.085400-8 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 3.022400-3 8.466900-5 1.000000+5 8.466900-5 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.022400-3 9.928800-5 1.000000+5 9.928800-5 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.022400-3 2.838443-3 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.797900-3 9.965856+4 2.917427-3 8.921400+4 2.951209-3 8.673700+4 3.000000-3 8.353800+4 3.235937-3 6.905900+4 3.507519-3 5.584700+4 4.365158-3 3.091700+4 4.800000-3 2.379700+4 5.623413-3 1.524400+4 6.760830-3 8.933700+3 7.500000-3 6.576300+3 8.912509-3 3.918300+3 1.071519-2 2.228000+3 1.244515-2 1.396800+3 1.428894-2 9.024700+2 1.678804-2 5.383300+2 2.000000-2 3.046900+2 2.400000-2 1.670900+2 2.917427-2 8.710400+1 3.589219-2 4.327900+1 4.518559-2 1.973800+1 6.095369-2 7.049300+0 1.035142-1 1.133400+0 1.303167-1 5.153300-1 1.566751-1 2.761900-1 1.840772-1 1.611300-1 2.299100-1 7.720000-2 2.511886-1 5.794000-2 2.722701-1 4.489300-2 2.917427-1 3.628700-2 3.019952-1 3.267464-2 3.388442-1 2.291173-2 3.801894-1 1.618693-2 4.216965-1 1.192180-2 4.677351-1 8.841691-3 5.188000-1 6.605818-3 5.754399-1 4.973898-3 6.309573-1 3.892886-3 6.918310-1 3.067685-3 7.585776-1 2.433271-3 8.609938-1 1.781844-3 9.225714-1 1.512779-3 9.772372-1 1.327791-3 1.047129+0 1.144792-3 1.122018+0 9.937901-4 1.202264+0 8.688347-4 1.333521+0 7.176272-4 1.531087+0 5.610745-4 1.737801+0 4.498776-4 1.949845+0 3.704819-4 2.213095+0 3.017588-4 2.511886+0 2.476036-4 2.884032+0 2.010900-4 3.311311+0 1.645228-4 3.845918+0 1.333698-4 4.518559+0 1.072025-4 5.370318+0 8.551048-5 6.456542+0 6.772687-5 7.943282+0 5.253447-5 1.000000+1 3.998800-5 1.230269+1 3.148158-5 1.566751+1 2.398409-5 2.113489+1 1.726513-5 2.985383+1 1.192240-5 4.518559+1 7.712097-6 8.222427+1 4.159273-6 1.640590+2 2.061186-6 3.273407+2 1.027091-6 1.303167+3 2.568693-7 4.120975+4 8.110519-9 1.000000+5 3.342200-9 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.797900-3 6.460500-5 1.000000+5 6.460500-5 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.797900-3 1.123100-4 1.000000+5 1.123100-4 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.797900-3 2.620985-3 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 2.677600-3 2.087106+5 2.733000-3 1.980388+5 2.786121-3 1.891265+5 3.019952-3 1.541612+5 3.198895-3 1.325262+5 3.548134-3 9.996324+4 4.300000-3 5.885880+4 4.677351-3 4.641604+4 5.432503-3 3.025484+4 6.456542-3 1.818479+4 7.161434-3 1.333833+4 8.609938-3 7.604874+3 1.011579-2 4.605060+3 1.161449-2 2.974958+3 1.350000-2 1.835804+3 1.580000-2 1.099668+3 1.840772-2 6.638649+2 2.162719-2 3.870211+2 2.570396-2 2.154779+2 3.054921-2 1.191152+2 3.715352-2 6.037355+1 4.570882-2 2.917466+1 6.025596-2 1.096122+1 1.071519-1 1.401951+0 1.380384-1 5.712993-1 1.640590-1 3.117836-1 1.905461-1 1.858293-1 2.187762-1 1.161061-1 2.454709-1 7.897743-2 2.754229-1 5.410466-2 3.054921-1 3.875844-2 3.388442-1 2.796525-2 3.715352-1 2.106074-2 4.073803-1 1.596802-2 4.466836-1 1.219512-2 4.897788-1 9.381819-3 5.370318-1 7.273463-3 5.888437-1 5.682628-3 6.456542-1 4.474135-3 7.079458-1 3.549242-3 7.673615-1 2.917355-3 8.317638-1 2.413170-3 9.015711-1 2.006771-3 9.660509-1 1.724537-3 1.035142+0 1.492922-3 1.135011+0 1.240703-3 1.250000+0 1.029896-3 1.380384+0 8.571930-4 1.603245+0 6.567060-4 1.819701+0 5.279797-4 2.044000+0 4.353692-4 2.317395+0 3.562231-4 2.630268+0 2.930329-4 3.019952+0 2.385962-4 3.507519+0 1.925095-4 4.120975+0 1.540540-4 4.841724+0 1.242129-4 5.754399+0 9.938284-5 7.000000+0 7.780200-5 8.413951+0 6.224991-5 1.071519+1 4.683871-5 1.380384+1 3.507974-5 1.819701+1 2.580992-5 2.426610+1 1.888575-5 3.388442+1 1.323884-5 5.069907+1 8.687922-6 9.015711+1 4.806522-6 1.798871+2 2.384212-6 3.589219+2 1.188752-6 1.428894+3 2.973762-7 4.518559+4 9.392036-9 1.000000+5 4.243200-9 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 2.677600-3 6.219600-5 1.000000+5 6.219600-5 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.677600-3 9.668900-5 1.000000+5 9.668900-5 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.677600-3 2.518715-3 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 5.334200-4 1.333477+5 5.930000-4 1.200346+5 6.165950-4 1.150884+5 7.500000-4 9.149500+4 9.225714-4 6.941713+4 1.000000-3 6.187160+4 1.190000-3 4.770720+4 1.318257-3 4.065125+4 1.548817-3 3.132609+4 1.778279-3 2.484240+4 2.041738-3 1.958257+4 2.400000-3 1.469910+4 2.851018-3 1.073072+4 3.349654-3 7.928374+3 3.935501-3 5.814520+3 4.623810-3 4.232512+3 5.432503-3 3.057951+3 6.382635-3 2.192409+3 7.500000-3 1.559332+3 8.810489-3 1.101185+3 1.023293-2 7.916039+2 1.202264-2 5.507668+2 1.400000-2 3.882200+2 1.640590-2 2.677486+2 1.905461-2 1.872262+2 2.238721-2 1.264001+2 2.630268-2 8.468407+1 3.090295-2 5.630904+1 3.630781-2 3.716591+1 4.315191-2 2.362819+1 5.128614-2 1.490578+1 6.095369-2 9.334426+0 7.328245-2 5.624054+0 9.000000-2 3.170580+0 1.109175-1 1.757036+0 2.213095-1 2.456199-1 2.667320-1 1.450910-1 3.126079-1 9.339852-2 3.589219-1 6.409485-2 4.073803-1 4.571421-2 4.570882-1 3.385793-2 5.069907-1 2.600653-2 5.623413-1 2.011014-2 6.237348-1 1.566157-2 6.918310-1 1.228935-2 7.673615-1 9.716794-3 8.511380-1 7.738579-3 9.332543-1 6.364945-3 1.022000+0 5.288994-3 1.161449+0 4.102649-3 1.288250+0 3.369830-3 1.462177+0 2.666691-3 1.621810+0 2.216973-3 1.819701+0 1.818956-3 2.044000+0 1.500499-3 2.317395+0 1.227899-3 2.630268+0 1.010030-3 3.019952+0 8.222809-4 3.507519+0 6.634464-4 4.073803+0 5.393065-4 4.786301+0 4.346352-4 5.688529+0 3.475652-4 6.839116+0 2.759300-4 8.317638+0 2.175074-4 1.059254+1 1.635937-4 1.364583+1 1.224735-4 1.800000+1 9.002100-5 2.400000+1 6.586300-5 3.311311+1 4.674840-5 4.954502+1 3.066423-5 8.912509+1 1.676125-5 1.778279+2 8.312993-6 3.548134+2 4.144480-6 1.412538+3 1.036778-6 4.466836+4 3.274285-8 1.000000+5 1.462400-8 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 5.334200-4 5.653800-5 1.000000+5 5.653800-5 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.334200-4 1.039400-7 1.000000+5 1.039400-7 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.334200-4 4.767781-4 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 4.452400-4 1.237746+5 4.459000-4 1.297708+5 4.463000-4 1.329936+5 4.468000-4 1.365956+5 4.475000-4 1.410114+5 4.485000-4 1.462688+5 4.494000-4 1.503562+5 4.505000-4 1.546142+5 4.520000-4 1.595596+5 4.535000-4 1.637560+5 4.550000-4 1.673144+5 4.573000-4 1.717098+5 4.595000-4 1.749020+5 4.623810-4 1.778354+5 4.655000-4 1.797204+5 4.685000-4 1.805466+5 4.731513-4 1.805292+5 5.400000-4 1.680776+5 5.688529-4 1.623539+5 6.200000-4 1.523256+5 6.606934-4 1.439356+5 7.000000-4 1.358974+5 7.500000-4 1.260342+5 8.000000-4 1.169220+5 8.511380-4 1.079842+5 9.332543-4 9.510274+4 1.011579-3 8.458222+4 1.083927-3 7.599734+4 1.202264-3 6.415948+4 1.303167-3 5.592532+4 1.428894-3 4.743661+4 1.584893-3 3.913744+4 1.737801-3 3.276060+4 1.950000-3 2.600320+4 2.150000-3 2.122900+4 2.400000-3 1.676622+4 2.660725-3 1.334280+4 2.985383-3 1.026265+4 3.349654-3 7.831645+3 3.758374-3 5.932355+3 4.216965-3 4.461068+3 4.731513-3 3.330956+3 5.308844-3 2.470040+3 6.000000-3 1.784406+3 6.800000-3 1.270010+3 7.673615-3 9.081647+2 8.709636-3 6.346589+2 9.885531-3 4.404357+2 1.122018-2 3.036890+2 1.288250-2 2.009679+2 1.500000-2 1.264512+2 1.737801-2 8.014961+1 2.018366-2 5.002415+1 2.371374-2 2.986892+1 2.786121-2 1.770155+1 3.311311-2 1.003166+1 4.027170-2 5.228676+0 5.011872-2 2.503473+0 6.606934-2 9.789155-1 1.122019-1 1.606075-1 1.412538-1 7.367127-2 1.678804-1 4.134862-2 1.972423-1 2.429107-2 2.290868-1 1.492858-2 2.630268-1 9.596911-3 2.985383-1 6.448702-3 3.349654-1 4.524379-3 3.758374-1 3.197731-3 4.168694-1 2.356185-3 4.623810-1 1.748308-3 5.128614-1 1.306523-3 5.688529-1 9.836080-4 6.309573-1 7.462080-4 6.918310-1 5.876774-4 7.585776-1 4.659071-4 8.609938-1 3.413717-4 9.225714-1 2.900457-4 9.772372-1 2.547357-4 1.047129+0 2.197558-4 1.122018+0 1.908166-4 1.202264+0 1.668248-4 1.348963+0 1.349160-4 1.584893+0 1.013084-4 1.798871+0 8.138630-5 2.018366+0 6.717315-5 2.290868+0 5.482863-5 2.600160+0 4.507387-5 2.985383+0 3.667642-5 3.467369+0 2.957349-5 4.027170+0 2.402672-5 4.731513+0 1.935309-5 5.623413+0 1.546899-5 6.760830+0 1.227503-5 8.222427+0 9.671608-6 1.047129+1 7.271745-6 1.333521+1 5.513234-6 1.757924+1 4.052132-6 2.371374+1 2.926056-6 3.273407+1 2.075352-6 4.897788+1 1.361037-6 8.912509+1 7.350931-7 1.778279+2 3.645862-7 3.548134+2 1.817683-7 1.412538+3 4.546990-8 4.466836+4 1.436025-9 1.000000+5 6.41360-10 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 4.452400-4 4.305500-5 1.000000+5 4.305500-5 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.452400-4 1.080500-7 1.000000+5 1.080500-7 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.452400-4 4.020770-4 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.249500-4 3.821345+5 4.415704-4 4.011608+5 4.500000-4 4.078106+5 4.623810-4 4.112545+5 4.750000-4 4.105249+5 4.850000-4 4.065071+5 5.248075-4 3.850537+5 5.754399-4 3.556240+5 6.100000-4 3.368792+5 6.606934-4 3.095428+5 7.161434-4 2.817239+5 7.585776-4 2.623108+5 8.128305-4 2.388725+5 9.015711-4 2.056071+5 9.772372-4 1.817613+5 1.059254-3 1.594220+5 1.174898-3 1.336520+5 1.273503-3 1.158370+5 1.412538-3 9.558888+4 1.548817-3 8.009532+4 1.717908-3 6.514890+4 1.905461-3 5.261918+4 2.113489-3 4.219143+4 2.344229-3 3.360072+4 2.630268-3 2.588708+4 2.951209-3 1.978518+4 3.300000-3 1.513232+4 3.715352-3 1.129912+4 4.216965-3 8.200555+3 4.800000-3 5.857000+3 5.432503-3 4.211051+3 6.165950-3 2.980748+3 7.000000-3 2.092200+3 8.035261-3 1.411658+3 9.225714-3 9.436914+2 1.047129-2 6.477624+2 1.210000-2 4.181200+2 1.396368-2 2.686630+2 1.603245-2 1.740762+2 1.840772-2 1.119902+2 2.116000-2 7.127953+1 2.454709-2 4.372408+1 2.884032-2 2.552609+1 3.427678-2 1.422607+1 4.120975-2 7.563363+0 5.011872-2 3.834690+0 6.309573-2 1.710820+0 1.273503-1 1.429841-1 1.531088-1 7.505367-2 1.840772-1 3.968710-2 2.113489-1 2.478967-2 2.398833-1 1.622477-2 2.691535-1 1.111540-2 3.000000-1 7.837645-3 3.311311-1 5.740638-3 3.672823-1 4.170969-3 4.027170-1 3.161525-3 4.415705-1 2.413199-3 4.841724-1 1.855262-3 5.308844-1 1.437107-3 5.821032-1 1.121892-3 6.309573-1 9.095616-4 6.918310-1 7.212396-4 7.585776-1 5.764210-4 8.511380-1 4.393249-4 9.120108-1 3.754301-4 9.772372-1 3.229408-4 1.059254+0 2.732540-4 1.161449+0 2.273526-4 1.273503+0 1.907940-4 1.412538+0 1.578061-4 1.640590+0 1.210489-4 1.840772+0 9.936814-5 2.065380+0 8.214940-5 2.344229+0 6.714243-5 2.660725+0 5.526526-5 3.054921+0 4.502431-5 3.548134+0 3.634878-5 4.168694+0 2.910479-5 4.897788+0 2.348069-5 5.821032+0 1.879527-5 7.079458+0 1.472425-5 8.511380+0 1.178321-5 1.083927+1 8.869301-6 1.400000+1 6.625900-6 1.862087+1 4.829709-6 2.483133+1 3.535568-6 3.507519+1 2.449827-6 5.248075+1 1.608747-6 9.120108+1 9.116317-7 1.819701+2 4.522426-7 3.630781+2 2.254939-7 1.445440+3 5.641378-8 4.570882+4 1.781728-9 1.000000+5 8.14290-10 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.249500-4 4.268400-5 1.000000+5 4.268400-5 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.249500-4 6.347800-8 1.000000+5 6.347800-8 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.249500-4 3.822025-4 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.670100-4 8.968800+4 2.677000-4 8.939760+4 2.690000-4 8.954320+4 2.700000-4 9.039920+4 2.708000-4 9.165880+4 2.714000-4 9.304760+4 2.721000-4 9.522280+4 2.728000-4 9.807520+4 2.734000-4 1.011412+5 2.740000-4 1.048588+5 2.746000-4 1.093052+5 2.752000-4 1.145736+5 2.759000-4 1.218568+5 2.766000-4 1.305080+5 2.774000-4 1.422560+5 2.781000-4 1.543092+5 2.788000-4 1.681600+5 2.796000-4 1.863392+5 2.807000-4 2.156808+5 2.830000-4 2.940372+5 2.840000-4 3.351124+5 2.851018-4 3.848151+5 2.861000-4 4.332600+5 2.869000-4 4.740200+5 2.877000-4 5.160440+5 2.885000-4 5.590520+5 2.895000-4 6.135920+5 2.904000-4 6.628560+5 2.915000-4 7.225680+5 2.926000-4 7.812960+5 2.935000-4 8.281640+5 2.945000-4 8.787560+5 2.958000-4 9.419520+5 2.969000-4 9.928040+5 2.980000-4 1.041520+6 2.995000-4 1.104384+6 3.007000-4 1.151724+6 3.022000-4 1.207456+6 3.040000-4 1.269316+6 3.057000-4 1.323280+6 3.080000-4 1.389304+6 3.100000-4 1.440700+6 3.126079-4 1.499176+6 3.150000-4 1.544700+6 3.172000-4 1.580236+6 3.200000-4 1.617064+6 3.235937-4 1.651414+6 3.273407-4 1.674649+6 3.320000-4 1.689864+6 3.370000-4 1.693564+6 3.430000-4 1.688248+6 3.507519-4 1.672658+6 3.630781-4 1.638963+6 3.758374-4 1.594784+6 3.850000-4 1.557088+6 3.981072-4 1.496312+6 4.150000-4 1.412856+6 4.415704-4 1.285238+6 4.650000-4 1.179852+6 4.850000-4 1.093964+6 5.150000-4 9.743040+5 5.559043-4 8.321809+5 5.900000-4 7.315640+5 6.237348-4 6.447206+5 6.760830-4 5.325242+5 7.328245-4 4.370258+5 7.943282-4 3.559037+5 8.810489-4 2.710667+5 9.660509-4 2.113478+5 1.083927-3 1.534023+5 1.190000-3 1.175556+5 1.333521-3 8.427421+4 1.479108-3 6.180690+4 1.659587-3 4.344275+4 1.850000-3 3.091648+4 2.070000-3 2.159024+4 2.344229-3 1.438698+4 2.630268-3 9.809051+3 2.951209-3 6.642576+3 3.311311-3 4.468276+3 3.758374-3 2.866187+3 4.265795-3 1.823638+3 4.841724-3 1.151159+3 5.432503-3 7.525638+2 6.095369-3 4.889965+2 6.918310-3 3.022494+2 8.000000-3 1.726784+2 9.225714-3 9.885801+1 1.059254-2 5.715975+1 1.230269-2 3.132535+1 1.428894-2 1.703353+1 1.659587-2 9.192025+0 1.949845-2 4.695501+0 2.344229-2 2.161700+0 2.917427-2 8.531516-1 3.890451-2 2.487966-1 5.821032-2 4.395361-2 7.585776-2 1.410481-2 9.225714-2 6.128927-3 1.096478-1 2.958149-3 1.273503-1 1.584019-3 1.462177-1 8.958429-4 1.678804-1 5.102096-4 1.905461-1 3.068170-4 2.113489-1 2.036742-4 2.371374-1 1.301378-4 2.660725-1 8.380117-5 2.951209-1 5.678421-5 3.273407-1 3.872657-5 3.630781-1 2.660694-5 4.000000-1 1.887019-5 4.365158-1 1.392974-5 4.786301-1 1.018530-5 5.248075-1 7.504202-6 5.754399-1 5.572713-6 6.237348-1 4.325276-6 6.760830-1 3.379500-6 7.413102-1 2.567864-6 8.035261-1 2.030165-6 8.511380-1 1.709490-6 9.015711-1 1.449055-6 9.440609-1 1.277957-6 9.772372-1 1.168548-6 1.011579+0 1.073616-6 1.059254+0 9.656150-7 1.109175+0 8.745057-7 1.161449+0 7.969327-7 1.216186+0 7.303483-7 1.318257+0 6.325775-7 1.531087+0 4.907709-7 1.819701+0 3.638349-7 2.018366+0 3.059750-7 2.290868+0 2.497681-7 2.600160+0 2.053282-7 2.985383+0 1.670612-7 3.467369+0 1.347082-7 4.027170+0 1.094429-7 4.731513+0 8.815335-8 5.623413+0 7.045908-8 6.760830+0 5.591070-8 8.222427+0 4.405338-8 1.047129+1 3.312198-8 1.333521+1 2.511212-8 1.757924+1 1.845665-8 2.371374+1 1.332765-8 3.235937+1 9.568980-9 4.841724+1 6.273963-9 8.810489+1 3.387870-9 1.757924+2 1.680069-9 3.507519+2 8.37566-10 1.396368+3 2.09515-10 4.415704+4 6.61666-12 1.000000+5 2.92140-12 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.670100-4 2.655500-5 1.000000+5 2.655500-5 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.670100-4 8.032800-8 1.000000+5 8.032800-8 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.670100-4 2.403747-4 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.630700-4 1.283118+5 2.641000-4 1.285908+5 2.652000-4 1.296738+5 2.662000-4 1.316754+5 2.670100-4 1.342031+5 2.677000-4 1.371750+5 2.685000-4 1.417638+5 2.692000-4 1.469562+5 2.697000-4 1.514358+5 2.703000-4 1.577682+5 2.710000-4 1.666302+5 2.715000-4 1.740432+5 2.722000-4 1.860966+5 2.727000-4 1.960146+5 2.735000-4 2.143722+5 2.743000-4 2.360700+5 2.750000-4 2.580324+5 2.760000-4 2.945928+5 2.790000-4 4.436706+5 2.803000-4 5.264820+5 2.815000-4 6.114720+5 2.823000-4 6.719760+5 2.833000-4 7.509960+5 2.840000-4 8.080140+5 2.850000-4 8.910300+5 2.858000-4 9.580980+5 2.869000-4 1.050282+6 2.880000-4 1.141362+6 2.891000-4 1.230408+6 2.900000-4 1.301286+6 2.912000-4 1.392540+6 2.923000-4 1.472664+6 2.935000-4 1.556094+6 2.950000-4 1.654530+6 2.965000-4 1.746648+6 2.980000-4 1.832748+6 3.000000-4 1.938684+6 3.022000-4 2.044176+6 3.040000-4 2.122296+6 3.065000-4 2.218986+6 3.090295-4 2.303287+6 3.115000-4 2.372916+6 3.140000-4 2.431242+6 3.165000-4 2.478144+6 3.200000-4 2.526642+6 3.240000-4 2.561388+6 3.280000-4 2.578992+6 3.335000-4 2.583636+6 3.390000-4 2.574264+6 3.507519-4 2.532491+6 3.630781-4 2.473775+6 3.758374-4 2.399154+6 3.850000-4 2.336934+6 4.000000-4 2.224896+6 4.216965-4 2.058752+6 4.466836-4 1.878297+6 4.700000-4 1.720062+6 4.954502-4 1.557338+6 5.248075-4 1.387277+6 5.650000-4 1.186320+6 6.025596-4 1.028157+6 6.456542-4 8.747529+5 7.079458-4 6.987909+5 7.673615-4 5.702613+5 8.317638-4 4.620362+5 9.120108-4 3.611464+5 1.000000-3 2.803278+5 1.110000-3 2.089434+5 1.230269-3 1.551971+5 1.364583-3 1.142663+5 1.531087-3 8.062300+4 1.698244-3 5.849017+4 1.905461-3 4.063957+4 2.150000-3 2.750118+4 2.371374-3 1.991338+4 2.660725-3 1.354195+4 3.044000-3 8.551263+3 3.467369-3 5.432272+3 3.935501-3 3.465061+3 4.500000-3 2.133786+3 5.128614-3 1.318122+3 5.754399-3 8.565949+2 6.500000-3 5.392548+2 7.328245-3 3.398276+2 8.413951-3 1.981186+2 9.660509-3 1.146553+2 1.109175-2 6.584823+1 1.273503-2 3.754080+1 1.479108-2 2.026329+1 1.717908-2 1.085077+1 2.018366-2 5.495615+0 2.398833-2 2.630842+0 2.951209-2 1.077966+0 3.801894-2 3.592371-1 7.585776-2 1.766280-2 9.332543-2 7.198564-3 1.109175-1 3.432229-3 1.318257-1 1.649681-3 1.496236-1 9.706981-4 1.678804-1 6.042939-4 1.862087-1 3.970682-4 2.065380-1 2.626856-4 2.290868-1 1.750636-4 2.511886-1 1.228584-4 2.754229-1 8.679010-5 3.019952-1 6.174563-5 3.273407-1 4.613556-5 3.548134-1 3.470307-5 3.845918-1 2.629443-5 4.073803-1 2.168074-5 4.415705-1 1.668169-5 4.786301-1 1.292542-5 5.248075-1 9.729478-6 5.754399-1 7.377822-6 6.456542-1 5.256252-6 6.918310-1 4.313123-6 7.328245-1 3.678010-6 7.762471-1 3.156621-6 8.222427-1 2.725848-6 8.709636-1 2.368444-6 9.225714-1 2.071058-6 9.772372-1 1.822962-6 1.047129+0 1.577115-6 1.135011+0 1.340080-6 1.216186+0 1.172197-6 1.348963+0 9.670995-7 1.548817+0 7.556077-7 1.757924+0 6.061826-7 1.972423+0 4.996366-7 2.238721+0 4.072590-7 2.540973+0 3.343764-7 2.917427+0 2.717263-7 3.349654+0 2.224450-7 3.890451+0 1.804284-7 4.570882+0 1.451021-7 5.432503+0 1.158033-7 6.531306+0 9.176312-8 8.000000+0 7.158800-8 1.011579+1 5.422468-8 1.258925+1 4.215116-8 1.621810+1 3.172404-8 2.213095+1 2.257489-8 3.090295+1 1.579790-8 4.623810+1 1.034871-8 8.511380+1 5.518382-9 1.698244+2 2.735716-9 3.388442+2 1.363548-9 1.348963+3 3.41047-10 4.265795+4 1.07694-11 1.000000+5 4.59370-12 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.630700-4 2.662900-5 1.000000+5 2.662900-5 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.630700-4 3.08450-10 1.000000+5 3.08450-10 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.630700-4 2.364407-4 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 7.585000-5 1.724090+5 7.762471-5 1.770373+5 7.950000-5 1.808204+5 8.222426-5 1.848630+5 8.511380-5 1.878068+5 8.912509-5 1.905938+5 9.500000-5 1.930324+5 1.023293-4 1.945195+5 1.100000-4 1.946904+5 1.174898-4 1.934560+5 1.244515-4 1.910758+5 1.318257-4 1.873318+5 1.396368-4 1.822449+5 1.480000-4 1.759278+5 1.580000-4 1.677750+5 1.698244-4 1.580227+5 1.862087-4 1.452527+5 2.065380-4 1.310958+5 2.264644-4 1.188114+5 2.454709-4 1.083108+5 2.691535-4 9.674962+4 3.054921-4 8.210060+4 3.467369-4 6.916952+4 3.890451-4 5.875332+4 4.500000-4 4.736740+4 5.188000-4 3.813023+4 6.025596-4 3.011384+4 7.161434-4 2.277574+4 8.810489-4 1.614101+4 1.083927-3 1.134775+4 1.333521-3 7.918891+3 1.621810-3 5.599112+3 1.972423-3 3.928897+3 2.344229-3 2.854336+3 2.818383-3 2.014278+3 3.349654-3 1.442146+3 4.027170-3 1.002019+3 4.841724-3 6.908595+2 5.754399-3 4.840241+2 6.839116-3 3.365563+2 8.035261-3 2.380415+2 9.440609-3 1.671755+2 1.109175-2 1.165645+2 1.303167-2 8.068662+1 1.531087-2 5.543955+1 1.798871-2 3.780601+1 2.116000-2 2.551252+1 2.483133-2 1.718787+1 2.917427-2 1.146157+1 3.427678-2 7.586121+0 4.073803-2 4.836884+0 4.841724-2 3.060149+0 5.754399-2 1.921015+0 6.998420-2 1.124220+0 8.317638-2 6.961569-1 1.047129-1 3.639198-1 2.344229-1 3.675253-2 2.786121-1 2.263823-2 3.273407-1 1.450828-2 3.758374-1 9.982562-3 4.216965-1 7.358670-3 4.731513-1 5.462195-3 5.248075-1 4.204867-3 5.821032-1 3.259041-3 6.456542-1 2.544511-3 7.161434-1 2.001684-3 7.943282-1 1.586764-3 8.709636-1 1.298383-3 9.549926-1 1.069925-3 1.071519+0 8.482114-4 1.188600+0 6.917100-4 1.364583+0 5.337133-4 1.531087+0 4.327253-4 1.717908+0 3.537386-4 1.927525+0 2.912866-4 2.187762+0 2.371203-4 2.483133+0 1.944408-4 2.851018+0 1.578026-4 3.273407+0 1.290265-4 3.801894+0 1.045341-4 4.466836+0 8.397920-5 5.308844+0 6.695172-5 6.382635+0 5.300222-5 7.852356+0 4.109305-5 9.772372+0 3.169103-5 1.202264+1 2.493228-5 1.531087+1 1.898259-5 2.041738+1 1.382983-5 2.851018+1 9.657268-6 4.315191+1 6.241910-6 7.413102+1 3.568293-6 1.428894+2 1.828792-6 2.851018+2 9.104652-7 1.135011+3 2.275537-7 1.000000+5 2.578300-9 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 7.585000-5 2.342800-5 1.000000+5 2.342800-5 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 7.585000-5 3.17040-10 1.000000+5 3.17040-10 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 7.585000-5 5.242168-5 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 4.960000-5 1.579636+6 5.011872-5 1.566697+6 5.069907-5 1.540548+6 5.128614-5 1.506597+6 5.190000-5 1.465348+6 5.279400-5 1.400309+6 5.400000-5 1.307482+6 5.500000-5 1.230868+6 5.650000-5 1.119918+6 5.850000-5 9.829860+5 6.095369-5 8.354881+5 6.400000-5 6.832620+5 7.161434-5 4.250129+5 7.500000-5 3.517520+5 7.762471-5 3.073787+5 8.035261-5 2.703444+5 8.300000-5 2.414820+5 8.511380-5 2.224829+5 8.738900-5 2.053127+5 9.000000-5 1.890384+5 9.230000-5 1.771788+5 9.500000-5 1.656504+5 9.772372-5 1.561417+5 1.000000-4 1.495232+5 1.030000-4 1.422976+5 1.060000-4 1.364494+5 1.096478-4 1.307935+5 1.135011-4 1.261565+5 1.174898-4 1.224472+5 1.220000-4 1.192422+5 1.280000-4 1.161232+5 1.350000-4 1.135516+5 1.698244-4 1.056912+5 1.862087-4 1.020889+5 2.018366-4 9.839114+4 2.187762-4 9.417983+4 2.371374-4 8.947906+4 2.570396-4 8.434955+4 2.800000-4 7.862240+4 3.054921-4 7.265554+4 3.350000-4 6.635740+4 3.630781-4 6.091137+4 3.981072-4 5.482712+4 4.415704-4 4.831025+4 4.897788-4 4.226684+4 5.440900-4 3.661451+4 6.095369-4 3.108677+4 6.839116-4 2.614070+4 7.585776-4 2.221142+4 8.511380-4 1.841253+4 9.500000-4 1.529594+4 1.071519-3 1.239478+4 1.202264-3 1.006735+4 1.348963-3 8.122357+3 1.513561-3 6.508648+3 1.698244-3 5.178872+3 1.905461-3 4.090362+3 2.137962-3 3.206831+3 2.398833-3 2.495826+3 2.691535-3 1.928570+3 3.020000-3 1.479677+3 3.388442-3 1.127383+3 3.845918-3 8.294108+2 4.365158-3 6.054218+2 4.954502-3 4.385057+2 5.623413-3 3.151714+2 6.382635-3 2.248052+2 7.244360-3 1.591498+2 8.222426-3 1.118491+2 9.332543-3 7.805151+1 1.071519-2 5.230273+1 1.230269-2 3.477909+1 1.412538-2 2.295529+1 1.621810-2 1.504267+1 1.883649-2 9.443454+0 2.213095-2 5.673343+0 2.600160-2 3.382895+0 3.054921-2 2.002524+0 3.630781-2 1.132926+0 4.415704-2 5.895072-1 5.495409-2 2.818743-1 1.188502-1 2.041393-2 1.479108-1 9.761163-3 1.757924-1 5.488046-3 2.041738-1 3.353976-3 2.344229-1 2.143306-3 2.660725-1 1.431219-3 3.019952-1 9.626581-4 3.388442-1 6.759749-4 3.801894-1 4.781581-4 4.216965-1 3.525477-4 4.677351-1 2.617355-4 5.188000-1 1.957319-4 5.754399-1 1.474903-4 6.382635-1 1.120126-4 6.998420-1 8.830635-5 7.673615-1 7.007468-5 8.609938-1 5.280307-5 9.225714-1 4.484240-5 9.772372-1 3.936969-5 1.047129+0 3.395407-5 1.122018+0 2.947826-5 1.202264+0 2.577099-5 1.333521+0 2.128360-5 1.531087+0 1.663726-5 1.737801+0 1.333771-5 1.949845+0 1.098438-5 2.213095+0 8.949043-6 2.511886+0 7.343046-6 2.884032+0 5.962667-6 3.311311+0 4.878063-6 3.845918+0 3.954343-6 4.518559+0 3.178543-6 5.370318+0 2.535405-6 6.456542+0 2.008102-6 7.943282+0 1.557597-6 1.011579+1 1.169731-6 1.244515+1 9.212889-7 1.600000+1 6.947300-7 2.187762+1 4.930898-7 3.054921+1 3.449658-7 4.570882+1 2.259445-7 8.317638+1 1.218792-7 1.659587+2 6.040678-8 3.311311+2 3.010313-8 1.318257+3 7.528814-9 4.168694+4 2.37728-10 1.000000+5 9.90960-11 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 4.960000-5 1.585200-5 1.000000+5 1.585200-5 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.960000-5 3.40100-10 1.000000+5 3.40100-10 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.960000-5 3.374766-5 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 4.655000-5 3.337156+6 4.710000-5 3.281468+6 4.770000-5 3.200496+6 4.850000-5 3.072256+6 4.950000-5 2.896836+6 5.069907-5 2.681788+6 5.188000-5 2.475631+6 5.370318-5 2.179380+6 5.580000-5 1.878312+6 5.900000-5 1.499900+6 6.531306-5 9.888360+5 6.839116-5 8.241515+5 7.079458-5 7.234397+5 7.328245-5 6.396467+5 7.500000-5 5.917680+5 7.736000-5 5.368453+5 7.950000-5 4.960200+5 8.150000-5 4.641600+5 8.400000-5 4.312920+5 8.650000-5 4.046400+5 8.912509-5 3.819460+5 9.225714-5 3.604023+5 9.549926-5 3.429630+5 9.900000-5 3.283044+5 1.023293-4 3.173825+5 1.060000-4 3.078876+5 1.109175-4 2.982071+5 1.170000-4 2.895052+5 1.244515-4 2.818416+5 1.531087-4 2.617692+5 1.678804-4 2.517003+5 1.840772-4 2.401609+5 2.000000-4 2.286060+5 2.162719-4 2.167777+5 2.350000-4 2.034080+5 2.540973-4 1.902144+5 2.786121-4 1.743844+5 3.054921-4 1.586923+5 3.350000-4 1.434376+5 3.672823-4 1.287278+5 4.027170-4 1.147084+5 4.518559-4 9.848324+4 5.011872-4 8.524578+4 5.559043-4 7.325412+4 6.237348-4 6.142484+4 7.000000-4 5.112160+4 8.000000-4 4.094480+4 9.120108-4 3.265434+4 1.023293-3 2.657293+4 1.150000-3 2.142328+4 1.288250-3 1.726213+4 1.445440-3 1.377624+4 1.621810-3 1.091982+4 1.819701-3 8.593922+3 2.041738-3 6.714962+3 2.290868-3 5.208343+3 2.570396-3 4.011364+3 2.884032-3 3.067618+3 3.235937-3 2.329105+3 3.630781-3 1.756083+3 4.120975-3 1.277312+3 4.677351-3 9.219294+2 5.308844-3 6.602584+2 6.025596-3 4.692140+2 6.839116-3 3.308793+2 7.762471-3 2.315834+2 8.810489-3 1.608882+2 1.000000-2 1.109784+2 1.135011-2 7.603089+1 1.303167-2 4.994860+1 1.500000-2 3.230954+1 1.717908-2 2.107734+1 1.972423-2 1.354371+1 2.238721-2 8.970543+0 2.600160-2 5.470565+0 3.054921-2 3.187103+0 3.630781-2 1.774057+0 4.415704-2 9.059504-1 5.308844-2 4.778764-1 6.839116-2 1.964577-1 1.258925-1 2.280616-2 1.548817-1 1.105182-2 1.819701-1 6.333574-3 2.089296-1 3.957276-3 2.371374-1 2.589231-3 2.660725-1 1.772888-3 2.951209-1 1.268888-3 3.273407-1 9.143444-4 3.630781-1 6.638045-4 4.000000-1 4.957400-4 4.365158-1 3.835497-4 4.786301-1 2.947026-4 5.248075-1 2.281521-4 5.754399-1 1.780023-4 6.237348-1 1.441849-4 6.839117-1 1.141844-4 7.498942-1 9.114190-5 8.413951-1 6.942446-5 9.120108-1 5.779694-5 9.772372-1 4.974037-5 1.059254+0 4.210315-5 1.161449+0 3.503593-5 1.273503+0 2.939955-5 1.412538+0 2.431213-5 1.640590+0 1.864550-5 1.840772+0 1.530545-5 2.065380+0 1.265441-5 2.344229+0 1.034339-5 2.691535+0 8.366891-6 3.090295+0 6.820328-6 3.589219+0 5.509492-6 4.216965+0 4.414007-6 5.000000+0 3.520600-6 6.000000+0 2.786500-6 7.328245+0 2.174227-6 8.912509+0 1.718550-6 1.122018+1 1.312875-6 1.445440+1 9.847874-7 1.905461+1 7.254661-7 2.570396+1 5.247940-7 3.801894+1 3.467043-7 5.688529+1 2.280274-7 9.549926+1 1.339877-7 1.905461+2 6.649773-8 3.801894+2 3.316470-8 1.513561+3 8.298351-9 1.000000+5 1.25430-10 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 4.655000-5 1.571800-5 1.000000+5 1.571800-5 1 43000 7 7 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 4.655000-5 2.59630-10 1.000000+5 2.59630-10 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 4.655000-5 3.083174-5 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 8.070000-6 3.726624+6 9.332543-6 4.578128+6 1.011579-5 5.103763+6 1.109175-5 5.734193+6 1.216186-5 6.397043+6 1.350000-5 7.184016+6 1.531087-5 8.194770+6 1.698244-5 9.076702+6 1.862087-5 9.873934+6 2.000000-5 1.047694+7 2.113489-5 1.090024+7 2.230000-5 1.125158+7 2.330000-5 1.147723+7 2.426610-5 1.161540+7 2.528300-5 1.167129+7 2.610000-5 1.164617+7 2.691535-5 1.155851+7 2.786121-5 1.138114+7 2.870000-5 1.116055+7 2.951209-5 1.089590+7 3.040000-5 1.055628+7 3.126079-5 1.018479+7 3.230000-5 9.692904+6 3.330000-5 9.187776+6 3.427678-5 8.676675+6 3.540000-5 8.081160+6 3.650000-5 7.502160+6 3.770000-5 6.886440+6 3.900000-5 6.247944+6 4.030000-5 5.646408+6 4.168694-5 5.050607+6 4.315191-5 4.475283+6 4.475300-5 3.909259+6 4.623810-5 3.439835+6 4.786301-5 2.983133+6 4.954502-5 2.567924+6 5.128614-5 2.193845+6 5.300000-5 1.874688+6 5.450000-5 1.630606+6 5.623413-5 1.384648+6 5.800000-5 1.169508+6 5.956621-5 1.004940+6 6.095369-5 8.773166+5 6.237348-5 7.623644+5 6.400000-5 6.478752+5 6.580000-5 5.399376+5 6.760830-5 4.487126+5 6.950000-5 3.690912+5 7.161434-5 2.962348+5 7.350000-5 2.432808+5 7.585776-5 1.902887+5 8.080000-5 1.155614+5 8.230000-5 1.002655+5 8.400000-5 8.611752+4 8.530000-5 7.727808+4 8.650000-5 7.044960+4 8.770000-5 6.475464+4 8.868500-5 6.083813+4 8.970000-5 5.744496+4 9.070000-5 5.467944+4 9.150000-5 5.284200+4 9.240200-5 5.113516+4 9.332543-5 4.975387+4 9.440609-5 4.856287+4 9.549926-5 4.777703+4 9.660509-5 4.736374+4 9.772372-5 4.729175+4 9.900000-5 4.758408+4 1.000000-4 4.805856+4 1.015000-4 4.912032+4 1.030000-4 5.054064+4 1.050000-4 5.288736+4 1.071519-4 5.585979+4 1.170000-4 7.235496+4 1.205000-4 7.848936+4 1.244515-4 8.517505+4 1.280000-4 9.084720+4 1.318257-4 9.654671+4 1.350000-4 1.008998+5 1.390000-4 1.058544+5 1.430000-4 1.102339+5 1.480000-4 1.149583+5 1.531087-4 1.189283+5 1.584893-4 1.222371+5 1.650000-4 1.252517+5 1.717908-4 1.273213+5 1.778279-4 1.283817+5 1.850000-4 1.288790+5 1.930000-4 1.285135+5 2.018366-4 1.272861+5 2.113489-4 1.251171+5 2.213095-4 1.221840+5 2.317395-4 1.185456+5 2.454709-4 1.132545+5 2.600160-4 1.073500+5 2.754229-4 1.009947+5 2.917427-4 9.435700+4 3.126079-4 8.626863+4 3.311311-4 7.956207+4 3.548134-4 7.167944+4 3.801894-4 6.410806+4 4.120975-4 5.582424+4 4.415704-4 4.926987+4 4.786301-4 4.227257+4 5.188000-4 3.599191+4 5.623413-4 3.042710+4 6.165950-4 2.492014+4 6.760830-4 2.025939+4 7.413102-4 1.635482+4 8.128305-4 1.311464+4 8.912509-4 1.044819+4 9.772372-4 8.267891+3 1.083927-3 6.307043+3 1.202264-3 4.774754+3 1.333521-3 3.587209+3 1.479108-3 2.674549+3 1.640590-3 1.978594+3 1.819701-3 1.452878+3 2.018366-3 1.059128+3 2.238721-3 7.665179+2 2.483133-3 5.509619+2 2.786121-3 3.788229+2 3.162278-3 2.487723+2 3.507519-3 1.751581+2 3.935501-3 1.176740+2 4.466836-3 7.542401+1 5.011872-3 4.998067+1 5.623413-3 3.288822+1 6.309573-3 2.149412+1 7.161434-3 1.336013+1 8.128305-3 8.242147+0 9.225714-3 5.048991+0 1.059254-2 2.935715+0 1.216186-2 1.694256+0 1.396368-2 9.708490-1 1.603245-2 5.524856-1 1.883649-2 2.839426-1 2.238721-2 1.380396-1 2.722701-2 6.044813-2 3.427678-2 2.268809-2 7.161434-2 9.647729-4 9.015711-2 3.618590-4 1.083927-1 1.662991-4 1.273503-1 8.484539-5 1.462177-1 4.797934-5 1.678804-1 2.732863-5 1.905461-1 1.643569-5 2.137962-1 1.042726-5 2.398833-1 6.665002-6 2.660725-1 4.484948-6 2.951209-1 3.038102-6 3.273407-1 2.071493-6 3.589219-1 1.483266-6 3.935501-1 1.069105-6 4.315191-1 7.764066-7 4.731513-1 5.678780-7 5.188000-1 4.182323-7 5.688529-1 3.101742-7 6.237348-1 2.316990-7 6.839117-1 1.743708-7 7.413102-1 1.368731-7 8.035261-1 1.080787-7 8.511380-1 9.113070-8 9.015711-1 7.737375-8 9.440609-1 6.832856-8 9.885531-1 6.077678-8 1.035142+0 5.450544-8 1.083927+0 4.922699-8 1.135011+0 4.473914-8 1.188600+0 4.088300-8 1.273503+0 3.603737-8 1.396368+0 3.071337-8 1.513561+0 2.681046-8 1.798871+0 1.986692-8 2.000000+0 1.663000-8 2.264644+0 1.361848-8 2.570396+0 1.118846-8 2.951209+0 9.097658-9 3.388442+0 7.451864-9 3.935501+0 6.047598-9 4.623810+0 4.866157-9 5.495409+0 3.885485-9 6.606934+0 3.080301-9 8.035261+0 2.424947-9 1.023293+1 1.821781-9 1.273503+1 1.416701-9 1.659587+1 1.053069-9 2.264644+1 7.49873-10 3.162278+1 5.24997-10 4.731513+1 3.44073-10 8.609938+1 1.85721-10 1.717908+2 9.20780-11 3.427678+2 4.58975-11 1.364583+3 1.14809-11 4.315191+4 3.62532-13 1.000000+5 1.56430-13 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 8.070000-6 8.070000-6 1.000000+5 8.070000-6 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 8.070000-6 0.0 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 7.780000-6 5.870808+6 8.700000-6 6.888888+6 9.332543-6 7.573553+6 1.011579-5 8.386851+6 1.100000-5 9.254700+6 1.216186-5 1.032668+7 1.350000-5 1.148616+7 1.531087-5 1.295477+7 1.717908-5 1.435769+7 1.862087-5 1.533852+7 2.000000-5 1.616123+7 2.113489-5 1.672915+7 2.230000-5 1.717769+7 2.330000-5 1.743880+7 2.426610-5 1.756730+7 2.528300-5 1.756695+7 2.610000-5 1.746497+7 2.691535-5 1.727282+7 2.786121-5 1.693966+7 2.870000-5 1.655233+7 2.951209-5 1.610525+7 3.040000-5 1.554844+7 3.126079-5 1.495396+7 3.230000-5 1.418180+7 3.330000-5 1.340010+7 3.427678-5 1.261708+7 3.540000-5 1.171321+7 3.650000-5 1.084252+7 3.770000-5 9.924264+6 3.900000-5 8.978580+6 4.030000-5 8.092260+6 4.168694-5 7.218308+6 4.315191-5 6.378385+6 4.475300-5 5.555760+6 4.623810-5 4.875969+6 4.786301-5 4.216565+6 4.954502-5 3.618973+6 5.128614-5 3.082372+6 5.300000-5 2.625955+6 5.450000-5 2.277842+6 5.623413-5 1.928032+6 5.800000-5 1.623035+6 5.956621-5 1.390445+6 6.095369-5 1.210552+6 6.237348-5 1.048942+6 6.400000-5 8.884692+5 6.580000-5 7.377372+5 6.760830-5 6.108508+5 6.950000-5 5.005980+5 7.161434-5 4.002265+5 7.400000-5 3.108121+5 8.000000-5 1.678734+5 8.150000-5 1.455671+5 8.300000-5 1.272348+5 8.413951-5 1.156281+5 8.530000-5 1.056262+5 8.650000-5 9.700416+4 8.738900-5 9.162934+4 8.830000-5 8.693028+4 8.912509-5 8.332120+4 9.015711-5 7.959428+4 9.120108-5 7.663068+4 9.225714-5 7.437244+4 9.332543-5 7.276497+4 9.440609-5 7.175584+4 9.549926-5 7.129571+4 9.660509-5 7.133784+4 9.772372-5 7.183900+4 9.900000-5 7.290288+4 1.005000-4 7.472952+4 1.020000-4 7.708104+4 1.040000-4 8.087580+4 1.060000-4 8.525268+4 1.150000-4 1.084892+5 1.190000-4 1.192478+5 1.220000-4 1.270649+5 1.258925-4 1.366842+5 1.288250-4 1.434807+5 1.330000-4 1.523952+5 1.365000-4 1.590998+5 1.400000-4 1.651064+5 1.450000-4 1.725743+5 1.500000-4 1.787436+5 1.548817-4 1.835653+5 1.611900-4 1.883565+5 1.670000-4 1.914260+5 1.737801-4 1.935854+5 1.800000-4 1.945242+5 1.880000-4 1.943158+5 1.972423-4 1.926413+5 2.065380-4 1.895854+5 2.162719-4 1.853823+5 2.270000-4 1.797498+5 2.398833-4 1.722585+5 2.540973-4 1.634666+5 2.691535-4 1.539329+5 2.851018-4 1.439240+5 3.054921-4 1.316597+5 3.235937-4 1.215098+5 3.467369-4 1.095524+5 3.722400-4 9.773425+4 4.027170-4 8.540418+4 4.315191-4 7.541239+4 4.677351-4 6.473769+4 5.069907-4 5.515363+4 5.495409-4 4.665487+4 6.000000-4 3.858480+4 6.531306-4 3.189916+4 7.161434-4 2.576888+4 7.852356-4 2.068149+4 8.609938-4 1.649055+4 9.440609-4 1.306277+4 1.047129-3 9.973810+3 1.161449-3 7.556639+3 1.288250-3 5.681235+3 1.428894-3 4.238645+3 1.584893-3 3.138132+3 1.757924-3 2.305868+3 1.949845-3 1.681951+3 2.162719-3 1.217859+3 2.398833-3 8.756264+2 2.660725-3 6.253385+2 2.985383-3 4.269481+2 3.235937-3 3.250851+2 3.630781-3 2.184923+2 4.216965-3 1.291751+2 4.731513-3 8.567135+1 5.308844-3 5.642101+1 6.000000-3 3.591159+1 6.760830-3 2.293893+1 7.673615-3 1.414999+1 8.709636-3 8.663792+0 9.885531-3 5.267236+0 1.135011-2 3.037430+0 1.303167-2 1.738292+0 1.500000-2 9.774410-1 1.737801-2 5.309533-1 2.041738-2 2.699735-1 2.426610-2 1.297408-1 2.951209-2 5.607955-2 3.715352-2 2.073126-2 7.585776-2 9.293492-4 9.332543-2 3.796527-4 1.109175-1 1.812970-4 1.288250-1 9.624055-5 1.462177-1 5.670572-5 1.640590-1 3.528438-5 1.840772-1 2.211400-5 2.041738-1 1.462438-5 2.264644-1 9.742662-6 2.483133-1 6.836179-6 2.722701-1 4.829941-6 2.985383-1 3.437808-6 3.235937-1 2.569577-6 3.507519-1 1.932720-6 3.801894-1 1.463277-6 4.120975-1 1.115501-6 4.466836-1 8.564845-7 4.841724-1 6.624514-7 5.188000-1 5.348186-7 5.623413-1 4.196477-7 6.095369-1 3.317140-7 6.606935-1 2.640641-7 7.161434-1 2.117675-7 7.762471-1 1.711057-7 8.511380-1 1.349501-7 9.015711-1 1.170056-7 9.549926-1 1.021023-7 1.011579+0 8.976993-8 1.083927+0 7.756688-8 1.161449+0 6.752644-8 1.244515+0 5.927114-8 1.380384+0 4.911466-8 1.698244+0 3.412737-8 1.905461+0 2.806118-8 2.137962+0 2.324848-8 2.426610+0 1.903982-8 2.786121+0 1.543159-8 3.198895+0 1.260215-8 3.715352+0 1.019823-8 4.365158+0 8.184066-9 5.188000+0 6.517852-9 6.237348+0 5.154806-9 7.673615+0 3.992929-9 9.440609+0 3.118652-9 1.174898+1 2.418815-9 1.500000+1 1.835300-9 2.000000+1 1.336600-9 2.754229+1 9.46751-10 4.216965+1 6.04189-10 6.839116+1 3.66332-10 1.174898+2 2.10784-10 2.344229+2 1.04788-10 4.677351+2 5.22947-11 3.715352+3 6.56098-12 1.000000+5 2.43640-13 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 7.780000-6 7.780000-6 1.000000+5 7.780000-6 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 7.780000-6 0.0 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 6.190000-6 1.365908+6 6.606934-6 9.632778+5 6.900000-6 7.583500+5 7.161434-6 6.144819+5 7.413102-6 5.025440+5 7.700000-6 4.003210+5 7.943282-6 3.303049+5 8.222426-6 2.649975+5 8.500000-6 2.128370+5 8.770000-6 1.718380+5 9.015711-6 1.412595+5 9.280000-6 1.142040+5 9.500000-6 9.550360+4 9.700000-6 8.103300+4 9.930000-6 6.692240+4 1.015000-5 5.558190+4 1.035142-5 4.677337+4 1.055000-5 3.935380+4 1.077000-5 3.239580+4 1.100000-5 2.633570+4 1.122018-5 2.152542+4 1.142000-5 1.787910+4 1.168800-5 1.390185+4 1.230269-5 7.858288+3 1.250000-5 6.621640+3 1.265000-5 5.862250+3 1.275000-5 5.433880+3 1.287500-5 4.978467+3 1.295000-5 4.744920+3 1.305000-5 4.476600+3 1.315000-5 4.254320+3 1.325000-5 4.074820+3 1.333521-5 3.953335+3 1.342000-5 3.859330+3 1.350000-5 3.793740+3 1.357000-5 3.753680+3 1.365000-5 3.726600+3 1.372000-5 3.718380+3 1.380384-5 3.726440+3 1.391300-5 3.764260+3 1.400000-5 3.814970+3 1.412538-5 3.917540+3 1.425000-5 4.051010+3 1.440000-5 4.249040+3 1.455000-5 4.483330+3 1.479108-5 4.924989+3 1.560000-5 6.818720+3 1.590000-5 7.622410+3 1.621810-5 8.506384+3 1.650000-5 9.305800+3 1.680000-5 1.016360+4 1.710000-5 1.102090+4 1.740000-5 1.187120+4 1.778279-5 1.293710+4 1.819701-5 1.406028+4 1.862087-5 1.516852+4 1.905461-5 1.625414+4 1.950000-5 1.731430+4 2.000000-5 1.843610+4 2.055000-5 1.958610+4 2.113489-5 2.071421+4 2.170000-5 2.171450+4 2.238721-5 2.281842+4 2.317395-5 2.394094+4 2.400000-5 2.497090+4 2.500000-5 2.603560+4 2.610000-5 2.700540+4 2.730000-5 2.785750+4 2.851018-5 2.853178+4 3.000000-5 2.914730+4 3.162278-5 2.959772+4 3.350000-5 2.989740+4 3.570000-5 3.002130+4 3.801894-5 2.995419+4 4.073803-5 2.969076+4 4.400000-5 2.918300+4 4.786301-5 2.840313+4 5.188000-5 2.747204+4 5.650000-5 2.631270+4 6.095369-5 2.514184+4 6.606934-5 2.378378+4 7.161434-5 2.233057+4 7.762471-5 2.080816+4 8.413951-5 1.924480+4 9.120108-5 1.767990+4 1.000000-4 1.592540+4 1.109175-4 1.404583+4 1.244515-4 1.212254+4 1.445440-4 9.926036+3 1.757924-4 7.570422+3 2.722701-4 4.102037+3 3.054921-4 3.472200+3 3.548134-4 2.764320+3 4.073803-4 2.224055+3 6.025596-4 1.176344+3 7.079458-4 9.001703+2 8.609938-4 6.431656+2 1.122018-3 4.060718+2 1.412538-3 2.700964+2 1.757924-3 1.820270+2 2.113489-3 1.296736+2 2.570396-3 8.970947+1 3.162278-3 6.025923+1 3.758374-3 4.290910+1 4.466836-3 3.033440+1 5.432503-3 2.030790+1 6.456542-3 1.414918+1 7.673615-3 9.783376+0 9.015711-3 6.882856+0 1.059254-2 4.808044+0 1.244515-2 3.334647+0 1.462177-2 2.295953+0 1.717908-2 1.569089+0 2.018366-2 1.064330+0 2.371374-2 7.164142-1 2.786121-2 4.786092-1 3.273407-2 3.173863-1 3.890451-2 2.027679-1 4.623810-2 1.285360-1 5.432503-2 8.340989-2 6.531306-2 5.050071-2 8.000000-2 2.883600-2 1.000000-1 1.540181-2 1.380384-1 6.162957-3 2.238721-1 1.555907-3 2.691535-1 9.264805-4 3.162278-1 5.928634-4 3.630781-1 4.072208-4 4.120975-1 2.907252-4 4.623810-1 2.155480-4 5.128614-1 1.657462-4 5.688529-1 1.283258-4 6.309573-1 1.000811-4 6.998420-1 7.865602-5 7.762471-1 6.230485-5 8.609938-1 4.974514-5 9.440609-1 4.101370-5 1.047129+0 3.327550-5 1.174898+0 2.651160-5 1.348963+0 2.042847-5 1.513561+0 1.654492-5 1.698244+0 1.351554-5 1.905461+0 1.112156-5 2.162719+0 9.045021-6 2.454709+0 7.411855-6 2.818383+0 6.011945-6 3.235937+0 4.913034-6 3.758374+0 3.978160-6 4.415704+0 3.194177-6 5.248075+0 2.545169-6 6.309573+0 2.013870-6 7.762471+0 1.560671-6 9.660509+0 1.203102-6 1.202264+1 9.338374-7 1.531087+1 7.109708-7 2.041738+1 5.179785-7 2.884032+1 3.573120-7 4.365158+1 2.309977-7 7.585776+1 1.305276-7 1.513561+2 6.461551-8 3.019952+2 3.218179-8 1.202264+3 8.045603-9 1.000000+5 9.65690-11 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 6.190000-6 6.190000-6 1.000000+5 6.190000-6 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 6.190000-6 0.0 1.000000+5 1.000000+5 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.054340-7 1.028750+0 1.054340-6 1.029500+0 1.442890-6 1.030100+0 1.814610-6 1.031000+0 2.483010-6 1.032000+0 3.397380-6 1.033200+0 4.759150-6 1.034000+0 5.842300-6 1.035300+0 7.930090-6 1.036640+0 1.054340-5 1.038200+0 1.422870-5 1.039700+0 1.848590-5 1.041500+0 2.459520-5 1.043800+0 3.413900-5 1.046400+0 4.749800-5 1.048300+0 5.913630-5 1.051200+0 8.021710-5 1.054080+0 1.054340-4 1.057700+0 1.437140-4 1.061100+0 1.869360-4 1.065100+0 2.474830-4 1.070400+0 3.452670-4 1.076200+0 4.771590-4 1.080600+0 5.958940-4 1.087100+0 8.028610-4 1.093710+0 1.054340-3 1.102600+0 1.461780-3 1.110700+0 1.906360-3 1.120600+0 2.549980-3 1.133300+0 3.545320-3 1.147500+0 4.894770-3 1.158200+0 6.082940-3 1.174100+0 8.130610-3 1.190110+0 1.054340-2 1.205100+0 1.312760-2 1.227500+0 1.757390-2 1.250000+0 2.270000-2 1.265600+0 2.659900-2 1.294900+0 3.460380-2 1.331800+0 4.577230-2 1.362600+0 5.586500-2 1.397000+0 6.783510-2 1.455800+0 8.980010-2 1.500000+0 1.076000-1 1.589800+0 1.475900-1 1.665000+0 1.848940-1 1.784700+0 2.503950-1 1.892300+0 3.140200-1 2.000000+0 3.799000-1 2.044000+0 4.069000-1 2.163500+0 4.809380-1 2.372600+0 6.120920-1 2.647100+0 7.838070-1 3.000000+0 9.990000-1 3.437500+0 1.252510+0 4.000000+0 1.557000+0 4.750000+0 1.928700+0 5.000000+0 2.044000+0 6.000000+0 2.466000+0 7.000000+0 2.844000+0 8.000000+0 3.183000+0 9.000000+0 3.492000+0 1.000000+1 3.774000+0 1.100000+1 4.033000+0 1.200000+1 4.271000+0 1.300000+1 4.491000+0 1.400000+1 4.693000+0 1.500000+1 4.880000+0 1.600000+1 5.056000+0 1.800000+1 5.377000+0 2.000000+1 5.665000+0 2.200000+1 5.927000+0 2.400000+1 6.164000+0 2.600000+1 6.381000+0 2.800000+1 6.580000+0 3.000000+1 6.763000+0 4.000000+1 7.506000+0 5.000000+1 8.057000+0 6.000000+1 8.485000+0 8.000000+1 9.119000+0 1.000000+2 9.569000+0 1.500000+2 1.029000+1 2.000000+2 1.071000+1 3.000000+2 1.121000+1 4.000000+2 1.150000+1 5.000000+2 1.169000+1 6.000000+2 1.183000+1 8.000000+2 1.201000+1 1.000000+3 1.212000+1 1.500000+3 1.229000+1 2.000000+3 1.239000+1 3.000000+3 1.249000+1 4.000000+3 1.254000+1 5.000000+3 1.257000+1 6.000000+3 1.260000+1 8.000000+3 1.263000+1 1.000000+4 1.265000+1 1.500000+4 1.267000+1 2.000000+4 1.269000+1 3.000000+4 1.270000+1 4.000000+4 1.271000+1 5.000000+4 1.272000+1 6.000000+4 1.272000+1 8.000000+4 1.272000+1 1.000000+5 1.273000+1 1 43000 7 8 9.900000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 4.315580-7 2.099900+0 1.010770-6 2.106600+0 1.406060-6 2.114000+0 1.945470-6 2.119500+0 2.422090-6 2.127900+0 3.284820-6 2.136250+0 4.315580-6 2.147000+0 5.916960-6 2.156900+0 7.685420-6 2.169000+0 1.025670-5 2.184500+0 1.425710-5 2.201800+0 1.972510-5 2.214800+0 2.457600-5 2.234200+0 3.305910-5 2.253680+0 4.315580-5 2.281500+0 6.044730-5 2.307000+0 7.939740-5 2.338200+0 1.067570-4 2.377400+0 1.478450-4 2.410200+0 1.880340-4 2.446800+0 2.391900-4 2.485900+0 3.011540-4 2.532900+0 3.854120-4 2.556430+0 4.315580-4 2.611900+0 5.502840-4 2.660400+0 6.652630-4 2.745300+0 8.904090-4 2.809000+0 1.078340-3 2.904500+0 1.389180-3 3.000000+0 1.734000-3 3.125000+0 2.235950-3 3.234400+0 2.720670-3 3.425800+0 3.663760-3 3.569300+0 4.442650-3 3.784700+0 5.710880-3 4.000000+0 7.074000-3 4.250000+0 8.740080-3 4.625000+0 1.135800-2 5.000000+0 1.408000-2 5.500000+0 1.781890-2 6.000000+0 2.161000-2 6.750000+0 2.725260-2 7.000000+0 2.911000-2 8.000000+0 3.638000-2 9.000000+0 4.333000-2 1.000000+1 4.993000-2 1.100000+1 5.618000-2 1.200000+1 6.208000-2 1.300000+1 6.763000-2 1.400000+1 7.292000-2 1.500000+1 7.793000-2 1.600000+1 8.268000-2 1.800000+1 9.150000-2 2.000000+1 9.952000-2 2.200000+1 1.069000-1 2.400000+1 1.136000-1 2.600000+1 1.199000-1 2.800000+1 1.256000-1 3.000000+1 1.310000-1 4.000000+1 1.533000-1 5.000000+1 1.703000-1 6.000000+1 1.837000-1 8.000000+1 2.040000-1 1.000000+2 2.188000-1 1.500000+2 2.434000-1 2.000000+2 2.589000-1 3.000000+2 2.779000-1 4.000000+2 2.893000-1 5.000000+2 2.972000-1 6.000000+2 3.030000-1 8.000000+2 3.110000-1 1.000000+3 3.163000-1 1.500000+3 3.243000-1 2.000000+3 3.289000-1 3.000000+3 3.339000-1 4.000000+3 3.368000-1 5.000000+3 3.386000-1 6.000000+3 3.399000-1 8.000000+3 3.416000-1 1.000000+4 3.427000-1 1.500000+4 3.441000-1 2.000000+4 3.450000-1 3.000000+4 3.458000-1 4.000000+4 3.463000-1 5.000000+4 3.466000-1 6.000000+4 3.468000-1 8.000000+4 3.470000-1 1.000000+5 3.472000-1 1 43000 7 8 9.900000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 43000 7 9 9.900000+1 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 4.300000+1 1.000000+5 4.300000+1 5.000000+5 4.298500+1 7.500000+5 4.296770+1 1.000000+6 4.295100+1 1.375000+6 4.291220+1 1.500000+6 4.289600+1 2.000000+6 4.281600+1 2.500000+6 4.271400+1 3.000000+6 4.259200+1 3.500000+6 4.244890+1 4.000000+6 4.229100+1 4.500000+6 4.211420+1 5.000000+6 4.192400+1 5.500000+6 4.171600+1 5.875000+6 4.155180+1 6.437500+6 4.129010+1 6.500000+6 4.126020+1 7.000000+6 4.102200+1 7.500000+6 4.077220+1 8.250000+6 4.038080+1 8.500000+6 4.025010+1 9.000000+6 3.998200+1 9.750000+6 3.956680+1 1.000000+7 3.943000+1 1.109400+7 3.881710+1 1.187500+7 3.837520+1 1.250000+7 3.802300+1 1.437500+7 3.696250+1 1.500000+7 3.661300+1 1.750000+7 3.523400+1 2.000000+7 3.389700+1 2.250000+7 3.260090+1 2.375000+7 3.196790+1 2.500000+7 3.135300+1 2.875000+7 2.958140+1 3.000000+7 2.902400+1 3.500000+7 2.694160+1 3.750000+7 2.599910+1 4.000000+7 2.512000+1 4.750000+7 2.282290+1 5.000000+7 2.216100+1 5.500000+7 2.096340+1 6.000000+7 1.990400+1 6.750000+7 1.848680+1 7.000000+7 1.804700+1 7.750000+7 1.678240+1 8.000000+7 1.637700+1 8.500000+7 1.558050+1 9.000000+7 1.481000+1 9.750000+7 1.369680+1 1.000000+8 1.333900+1 1.062500+8 1.247330+1 1.144500+8 1.141850+1 1.187500+8 1.090300+1 1.250000+8 1.020400+1 1.437500+8 8.464360+0 1.500000+8 8.008200+0 1.625000+8 7.258780+0 1.718800+8 6.806880+0 1.750000+8 6.673390+0 1.859400+8 6.259710+0 2.000000+8 5.828300+0 2.125000+8 5.516420+0 2.375000+8 5.018590+0 2.406300+8 4.964320+0 2.500000+8 4.809600+0 2.671900+8 4.543410+0 2.789100+8 4.361130+0 2.894500+8 4.190090+0 3.000000+8 4.009100+0 3.125000+8 3.784680+0 3.406300+8 3.328690+0 3.500000+8 3.208700+0 3.625000+8 3.076300+0 3.859400+8 2.858630+0 3.953100+8 2.768330+0 4.000000+8 2.720600+0 4.125000+8 2.584430+0 4.750000+8 1.937930+0 5.000000+8 1.744500+0 5.179700+8 1.640940+0 5.330100+8 1.569450+0 5.569300+8 1.476380+0 5.892300+8 1.376500+0 6.000000+8 1.347500+0 6.437500+8 1.244670+0 6.812500+8 1.174920+0 7.000000+8 1.146000+0 8.000000+8 1.027900+0 8.250000+8 9.985390-1 8.687500+8 9.453280-1 9.015600+8 9.052680-1 9.507800+8 8.467810-1 1.000000+9 7.917000-1 1.089800+9 7.015400-1 1.165000+9 6.346480-1 1.243500+9 5.716140-1 1.307700+9 5.244590-1 1.375000+9 4.788700-1 1.376400+9 4.779630-1 1.438200+9 4.393090-1 1.500000+9 4.034800-1 1.589800+9 3.560030-1 1.665000+9 3.204510-1 1.748800+9 2.851290-1 1.838500+9 2.519350-1 1.946200+9 2.176620-1 2.000000+9 2.026000-1 2.139200+9 1.689780-1 2.272600+9 1.428240-1 2.443000+9 1.161400-1 2.602800+9 9.641900-2 2.825100+9 7.532190-2 3.097000+9 5.667680-2 3.438900+9 4.063340-2 3.725100+9 3.135280-2 4.180400+9 2.142210-2 4.795100+9 1.350880-2 5.000000+9 1.172200-2 5.750000+9 7.274090-3 7.437500+9 2.998780-3 8.000000+9 2.331300-3 1.00000+10 1.081100-3 1.20500+10 5.728410-4 1.41820+10 3.308960-4 1.71170+10 1.767710-4 2.01490+10 1.031930-4 2.26440+10 7.040760-5 2.74790+10 3.754810-5 3.20120+10 2.296080-5 4.05100+10 1.082990-5 4.79460+10 6.353150-6 6.09600+10 2.989270-6 8.04800+10 1.259320-6 1.00000+11 6.438800-7 1.34280+11 2.606030-7 1.77440+11 1.114470-7 2.63330+11 3.376670-8 3.75720+11 1.162350-8 6.61190+11 2.164920-9 1.48990+12 1.98905-10 4.26460+12 9.41075-12 1.00000+14 1.12220-15 5.62340+14 7.80889-18 7.49890+15 4.27450-21 1.00000+17 2.25440-24 1 43000 7 0 9.900000+1 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 7.20000-12 1.000000+2 7.20000-10 1.000000+3 7.200000-8 1.000000+4 7.200000-6 1.000000+5 7.200000-4 5.000000+5 1.800000-2 7.500000+5 4.050000-2 1.000000+6 7.200000-2 1.375000+6 1.348850-1 1.500000+6 1.600000-1 2.000000+6 2.805000-1 2.500000+6 4.307000-1 3.000000+6 6.072000-1 3.500000+6 8.063590-1 4.000000+6 1.024500+0 4.500000+6 1.257630+0 5.000000+6 1.502000+0 5.500000+6 1.753890+0 5.875000+6 1.946060+0 6.437500+6 2.236500+0 6.500000+6 2.268850+0 7.000000+6 2.526700+0 7.500000+6 2.781790+0 8.250000+6 3.157350+0 8.500000+6 3.280020+0 9.000000+6 3.521600+0 9.750000+6 3.872640+0 1.000000+7 3.987000+0 1.109400+7 4.471810+0 1.187500+7 4.804980+0 1.250000+7 5.065600+0 1.437500+7 5.820990+0 1.500000+7 6.067000+0 1.750000+7 7.035300+0 2.000000+7 7.984000+0 2.250000+7 8.908890+0 2.375000+7 9.361450+0 2.500000+7 9.806500+0 2.875000+7 1.109490+1 3.000000+7 1.151200+1 3.500000+7 1.312290+1 3.750000+7 1.389750+1 4.000000+7 1.465300+1 4.750000+7 1.679260+1 5.000000+7 1.745600+1 5.500000+7 1.869360+1 6.000000+7 1.981600+1 6.750000+7 2.129900+1 7.000000+7 2.174800+1 7.750000+7 2.298530+1 8.000000+7 2.337000+1 8.500000+7 2.410180+1 9.000000+7 2.479700+1 9.750000+7 2.577810+1 1.000000+8 2.609300+1 1.062500+8 2.684990+1 1.144500+8 2.778380+1 1.187500+8 2.825150+1 1.250000+8 2.890100+1 1.437500+8 3.065020+1 1.500000+8 3.117300+1 1.625000+8 3.212970+1 1.718800+8 3.278230+1 1.750000+8 3.298650+1 1.859400+8 3.366540+1 2.000000+8 3.444700+1 2.125000+8 3.506510+1 2.375000+8 3.614190+1 2.406300+8 3.626110+1 2.500000+8 3.661000+1 2.671900+8 3.719080+1 2.789100+8 3.754950+1 2.894500+8 3.785120+1 3.000000+8 3.813400+1 3.125000+8 3.843930+1 3.406300+8 3.904650+1 3.500000+8 3.922600+1 3.625000+8 3.944600+1 3.859400+8 3.980870+1 3.953100+8 3.993880+1 4.000000+8 4.000300+1 4.125000+8 4.015500+1 4.750000+8 4.076890+1 5.000000+8 4.095800+1 5.179700+8 4.107570+1 5.330100+8 4.116650+1 5.569300+8 4.129960+1 5.892300+8 4.145790+1 6.000000+8 4.150800+1 6.437500+8 4.168690+1 6.812500+8 4.182200+1 7.000000+8 4.188600+1 8.000000+8 4.217100+1 8.250000+8 4.222840+1 8.687500+8 4.232480+1 9.015600+8 4.239040+1 9.507800+8 4.247700+1 1.000000+9 4.255300+1 1.089800+9 4.266100+1 1.165000+9 4.273450+1 1.243500+9 4.279030+1 1.307700+9 4.283230+1 1.375000+9 4.286210+1 1.376400+9 4.286270+1 1.438200+9 4.288730+1 1.500000+9 4.291100+1 1.589800+9 4.292910+1 1.665000+9 4.294350+1 1.748800+9 4.295890+1 1.838500+9 4.296680+1 1.946200+9 4.297570+1 2.000000+9 4.298000+1 2.139200+9 4.298470+1 2.272600+9 4.298890+1 2.443000+9 4.299400+1 2.602800+9 4.299840+1 2.825100+9 4.300210+1 3.097000+9 4.300180+1 3.438900+9 4.300140+1 3.725100+9 4.300110+1 4.180400+9 4.300070+1 4.795100+9 4.300020+1 5.000000+9 4.300000+1 5.750000+9 4.300000+1 7.437500+9 4.300000+1 8.000000+9 4.300000+1 1.00000+10 4.300000+1 1.20500+10 4.300000+1 1.41820+10 4.300000+1 1.71170+10 4.300000+1 2.01490+10 4.300000+1 2.26440+10 4.300000+1 2.74790+10 4.300000+1 3.20120+10 4.300000+1 4.05100+10 4.300000+1 4.79460+10 4.300000+1 6.09600+10 4.300000+1 8.04800+10 4.300000+1 1.00000+11 4.300000+1 1.34280+11 4.300000+1 1.77440+11 4.300000+1 2.63330+11 4.300000+1 3.75720+11 4.300000+1 6.61190+11 4.300000+1 1.48990+12 4.300000+1 4.26460+12 4.300000+1 1.00000+14 4.300000+1 5.62340+14 4.300000+1 7.49890+15 4.300000+1 1.00000+17 4.300000+1 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.023088-6 0.0 3.455263-6 0.0 3.470146-6 2.487359+0 3.472272-6 2.839071+0 3.480777-6 5.185795+0 3.489282-6 8.743962+0 3.498850-6 1.435146+1 3.513600-6 2.503719+1 3.524364-6 3.227132+1 3.532337-6 3.598761+1 3.541091-6 3.731877+1 3.550078-6 3.547029+1 3.558903-6 3.094923+1 3.572066-6 2.185823+1 3.582833-6 1.769259+1 3.589035-6 1.610495+1 3.591744-6 1.605722+1 3.598330-6 1.695452+1 3.599843-6 1.754770+1 3.607165-6 2.170691+1 3.616029-6 3.012967+1 3.626728-6 4.342913+1 3.641518-6 6.412639+1 3.651806-6 7.331711+1 3.659833-6 7.587985+1 3.668958-6 7.248066+1 3.678521-6 6.300685+1 3.692359-6 4.366859+1 3.703313-6 2.830603+1 3.712104-6 1.827339+1 3.720895-6 1.088963+1 3.729685-6 5.990475+0 3.742871-6 1.522803+0 3.747267-6 0.0 4.752845-6 0.0 4.764543-6 4.72140-15 4.776242-6 9.34235-15 4.787940-6 1.70646-14 4.799639-6 2.87732-14 4.811337-6 4.47852-14 4.823036-6 6.43481-14 4.834734-6 8.53474-14 4.846433-6 1.04496-13 4.858131-6 1.18103-13 4.869830-6 1.23219-13 4.881529-6 1.18672-13 4.893227-6 1.05505-13 4.904926-6 8.65865-14 4.928323-6 4.58742-14 4.940021-6 2.96148-14 4.951720-6 1.76483-14 4.963418-6 9.70846-15 4.975117-6 4.93007-15 4.986815-6 0.0 5.432125-6 0.0 5.456046-6 7.746526-2 5.458866-6 8.650850-2 5.461200-6 9.896260-2 5.473072-6 2.723421-1 5.485607-6 4.858047-1 5.489205-6 5.647891-1 5.501839-6 9.014591-1 5.516459-6 1.446529+0 5.552628-6 3.177955+0 5.569970-6 3.858886+0 5.582178-6 4.123751+0 5.596460-6 4.102685+0 5.611477-6 3.727645+0 5.624486-6 3.192665+0 5.658524-6 1.524773+0 5.662830-6 1.330235+0 5.676272-6 8.437445-1 5.689714-6 4.896439-1 5.699535-6 3.062804-1 5.703156-6 2.509041-1 5.726908-6 2.975471-2 5.730040-6 1.026948-5 5.748616-6 6.691519-7 5.750756-6 0.0 5.942400-6 0.0 5.942642-6 5.416774-8 5.944807-6 6.817093-8 5.946954-6 8.538697-8 5.949082-6 1.064689-7 5.951890-6 1.419367-7 5.954665-6 1.878459-7 5.957182-6 2.414088-7 5.959897-6 3.153693-7 5.962581-6 4.093260-7 5.965233-6 5.279530-7 5.967854-6 6.768323-7 5.970444-6 8.625890-7 5.973005-6 1.093040-6 5.975535-6 1.377353-6 5.978036-6 1.726222-6 5.980508-6 2.152048-6 5.983759-6 2.864549-6 5.986960-6 3.779365-6 5.990111-6 4.943891-6 5.992828-6 6.211401-6 5.996267-6 8.255079-6 5.999646-6 1.086440-5 6.002966-6 1.416446-5 6.006228-6 1.830012-5 6.009433-6 2.343754-5 6.012582-6 2.976548-5 6.015677-6 3.749643-5 6.019719-6 5.040017-5 6.022689-6 6.237300-5 6.026573-6 8.197396-5 6.030366-6 1.064318-4 6.034071-6 1.365954-4 6.037690-6 1.733843-4 6.041225-6 2.177812-4 6.045811-6 2.906092-4 6.049158-6 3.568592-4 6.054033-6 4.775924-4 6.058739-6 6.273230-4 6.063282-6 8.097730-4 6.067668-6 1.028484-3 6.073284-6 1.382324-3 6.078649-6 1.813674-3 6.083768-6 2.327178-3 6.088060-6 2.848870-3 6.096297-6 9.426510-3 6.099869-6 1.241450-2 6.113606-6 5.181959-2 6.118305-6 6.567299-2 6.129898-6 1.051617-1 6.144912-6 1.843983-1 6.159926-6 2.997007-1 6.180146-6 5.130073-1 6.212791-6 9.020348-1 6.226951-6 1.028647+0 6.238190-6 1.098725+0 6.254803-6 1.108418+0 6.270035-6 1.036996+0 6.287640-6 8.770092-1 6.323598-6 4.837211-1 6.335084-6 3.789188-1 6.340094-6 3.361840-1 6.355108-6 2.419987-1 6.370122-6 1.798929-1 6.388047-6 1.306541-1 6.394019-6 1.192842-1 6.400151-6 1.122688-1 6.425495-6 1.364353-1 6.441234-6 1.622998-1 6.456972-6 2.015908-1 6.472710-6 2.550484-1 6.513833-6 4.266823-1 6.535662-6 4.911325-1 6.553806-6 5.021960-1 6.569938-6 4.858747-1 6.597159-6 4.060697-1 6.618513-6 3.361843-1 6.630985-6 3.058992-1 6.649124-6 2.839097-1 6.668025-6 2.872356-1 6.732314-6 3.304981-1 6.823812-6 2.999236-1 6.862177-6 2.945979-1 6.895908-6 1.122208+0 6.913659-6 1.864040+0 6.932150-6 3.066625+0 6.950658-6 4.707036+0 6.999052-6 9.722768+0 7.019215-6 1.092723+1 7.035889-6 1.111470+1 7.053341-6 1.042665+1 7.077449-6 8.414571+0 7.111672-6 5.187044+0 7.122472-6 4.427894+0 7.134346-6 3.814264+0 7.148335-6 3.484840+0 7.162417-6 3.552830+0 7.172740-6 3.842732+0 7.204927-6 5.123204+0 7.217992-6 5.855625+0 7.234945-6 6.508393+0 7.251257-6 6.767971+0 7.268961-6 6.573412+0 7.284877-6 6.051400+0 7.335482-6 3.527877+0 7.352895-6 2.780603+0 7.370307-6 2.179365+0 7.387720-6 1.702321+0 7.405132-6 1.315490+0 7.422545-6 8.706080-1 7.455962-6 4.970869-1 7.473661-6 3.386845-1 7.491359-6 2.219453-1 7.509126-6 1.441074-1 7.544455-6 4.900463-2 7.596886-6 4.871008-2 7.619638-6 5.077727-2 7.636855-6 5.481747-2 7.653737-6 6.233480-2 7.666867-6 7.175430-2 7.679436-6 8.465399-2 7.694089-6 1.055918-1 7.709553-6 1.357404-1 7.726558-6 1.790659-1 7.748459-6 2.500127-1 7.820128-6 5.243716-1 7.851233-6 6.144515-1 7.893602-6 6.875740-1 7.992663-6 7.881114-1 8.043803-6 8.949503-1 8.129860-6 1.115018+0 8.192000-6 1.201077+0 8.598765-6 1.358830+0 8.755890-6 1.428803+0 8.794957-6 1.568702+0 8.819191-6 1.713801+0 8.845445-6 1.956879+0 8.874280-6 2.327272+0 8.924207-6 3.026948+0 8.948441-6 3.247095+0 8.969983-6 3.313091+0 8.996237-6 3.196950+0 9.022228-6 2.918396+0 9.074998-6 2.256777+0 9.101925-6 2.042634+0 9.118081-6 1.967631+0 9.143376-6 1.976005+0 9.182706-6 2.155503+0 9.229862-6 2.589851+0 9.260288-6 2.767227+0 9.277083-6 2.815315+0 9.302537-6 2.771254+0 9.339254-6 2.541846+0 9.385331-6 2.156618+0 9.418749-6 1.976197+0 9.452166-6 1.894589+0 9.496723-6 1.958893+0 9.590936-6 2.451895+0 9.621690-6 2.518212+0 9.650582-6 2.477052+0 9.737258-6 2.139518+0 9.780044-6 2.102380+0 9.812378-6 2.195622+0 9.866932-6 2.499281+0 9.917111-6 2.770924+0 9.946908-6 2.836426+0 9.984788-6 2.783097+0 1.007516-5 2.538530+0 1.013221-5 2.523362+0 1.027949-5 2.736162+0 1.046216-5 2.579237+0 1.060458-5 2.467815+0 1.079961-5 2.394678+0 1.095456-5 2.342996+0 1.283093-5 3.247455+0 1.614666-5 5.131819+0 2.330000-5 9.637367+0 2.626783-5 1.091758+1 2.885108-5 1.138390+1 3.202393-5 1.108794+1 3.629202-5 9.677924+0 3.825695-5 8.838083+0 3.844528-5 9.523178+0 3.857963-5 1.050752+1 3.858537-5 1.056355+1 3.866904-5 1.461082+1 3.877532-5 2.002427+1 3.887029-5 2.738818+1 3.897713-5 3.933276+1 3.907477-5 5.316254+1 3.933861-5 9.410662+1 3.945550-5 1.040484+2 3.954472-5 1.052893+2 3.963879-5 9.968158+1 3.974587-5 8.601102+1 4.000996-5 4.265679+1 4.010494-5 3.014817+1 4.019991-5 2.107553+1 4.029488-5 1.514202+1 4.048483-5 7.853502+0 4.132370-5 7.547108+0 4.152435-5 1.131041+1 4.163539-5 1.493581+1 4.173412-5 1.975134+1 4.183743-5 2.662063+1 4.214537-5 5.136909+1 4.224659-5 5.662072+1 4.234878-5 5.829526+1 4.244904-5 5.605107+1 4.256531-5 4.911147+1 4.284653-5 2.599740+1 4.294824-5 1.916708+1 4.304994-5 1.412905+1 4.315165-5 1.077213+1 4.335506-5 6.634734+0 4.579970-5 5.741580+0 4.615335-5 5.894488+0 4.661660-5 6.630754+0 4.762952-5 8.419361+0 4.790155-5 8.476348+0 4.853579-5 7.930717+0 4.992176-5 7.880355+0 5.045006-5 7.657557+0 5.109351-5 7.577941+0 5.281532-5 6.745080+0 5.383724-5 5.941637+0 5.764875-5 4.622697+0 6.160974-5 3.561150+0 6.511914-5 2.826105+0 6.878449-5 2.240264+0 7.208117-5 1.835240+0 7.434068-5 1.629292+0 7.486957-5 1.663057+0 7.525714-5 1.768421+0 7.583093-5 1.972305+0 7.616984-5 2.002045+0 7.657386-5 1.910837+0 7.720326-5 1.725775+0 7.785976-5 1.687665+0 7.877828-5 1.653438+0 8.025281-5 1.452850+0 8.106377-5 1.395490+0 8.586152-5 1.242296+0 9.120108-5 1.161266+0 9.830400-5 1.147092+0 1.060000-4 1.203284+0 1.244515-4 1.461781+0 1.500000-4 1.827516+0 1.778280-4 2.103661+0 2.152667-4 2.305798+0 2.573900-4 2.386017+0 2.599762-4 2.498051+0 2.618009-4 2.753492+0 2.645669-4 3.263720+0 2.671753-4 3.535441+0 2.724500-4 3.642221+0 2.750000-4 3.936830+0 2.778114-4 4.578736+0 2.804369-4 5.465914+0 2.838997-4 7.030562+0 2.966247-4 1.389292+1 3.057000-4 1.763681+1 3.165000-4 2.059072+1 3.280000-4 2.223148+1 3.528027-4 2.338156+1 3.916451-4 2.350880+1 4.085555-4 2.318920+1 4.126143-4 2.429496+1 4.176068-4 2.765513+1 4.197925-4 2.759245+1 4.247616-4 2.511428+1 4.286889-4 2.494079+1 4.389346-4 2.688609+1 4.456997-4 2.564078+1 5.028259-4 2.421799+1 5.285392-4 2.365525+1 5.376350-4 2.423172+1 6.747487-4 1.954732+1 8.380549-4 1.540539+1 1.000000-3 1.244343+1 1.156445-3 1.033037+1 1.333521-3 8.549312+0 1.557758-3 6.903345+0 1.795196-3 5.644214+0 2.058167-3 4.628637+0 2.363443-3 3.770517+0 2.607012-3 3.257156+0 2.620150-3 3.489788+0 2.626597-3 3.712695+0 2.633067-3 4.075906+0 2.639829-3 4.645978+0 2.649811-3 5.850191+0 2.671890-3 9.169066+0 2.682990-3 1.031366+1 2.694703-3 1.088757+1 2.717707-3 1.091038+1 2.735773-3 1.080945+1 2.759350-3 1.135856+1 2.798810-3 1.376157+1 2.820306-3 1.420445+1 2.969729-3 1.319020+1 3.007805-3 1.354510+1 3.047615-3 1.429127+1 3.177696-3 1.365104+1 3.643376-3 1.108932+1 4.130641-3 9.120883+0 4.736327-3 7.354784+0 5.437827-3 5.884716+0 6.215036-3 4.716460+0 7.006844-3 3.858322+0 7.978460-3 3.092025+0 9.084517-3 2.471637+0 1.004429-2 2.075318+0 1.132989-2 1.678768+0 1.269843-2 1.371633+0 1.424788-2 1.116656+0 1.600292-2 9.056413-1 1.789350-2 7.393729-1 2.028684-2 5.879372-1 2.051124-2 5.821989-1 2.061019-2 6.065014-1 2.067333-2 6.548605-1 2.072249-2 7.259792-1 2.076851-2 8.303147-1 2.081974-2 9.996563-1 2.087044-2 1.227385+0 2.094372-2 1.651024+0 2.109664-2 2.648337+0 2.119689-2 3.132805+0 2.130023-2 3.399681+0 2.142529-2 3.498753+0 2.527020-2 2.708139+0 2.864552-2 2.201255+0 3.230000-2 1.797067+0 3.653056-2 1.450914+0 4.145514-2 1.162478+0 4.670625-2 9.385019-1 5.316279-2 7.420169-1 5.922654-2 6.080964-1 6.578263-2 5.003960-1 7.275646-2 4.141422-1 8.016315-2 3.447192-1 8.970018-2 2.780862-1 1.010909-1 2.212195-1 1.111273-1 1.841787-1 1.231440-1 1.510492-1 1.352593-1 1.259649-1 1.488773-1 1.046243-1 1.632407-1 8.761462-2 1.808348-1 7.196253-2 1.991408-1 5.976634-2 2.213095-1 4.891195-2 2.453881-1 4.024396-2 2.710728-1 3.348678-2 2.999648-1 2.782315-2 3.336454-1 2.300450-2 3.697350-1 1.924108-2 4.092901-1 1.620433-2 4.598682-1 1.339974-2 5.162924-1 1.119122-2 5.871512-1 9.252843-3 6.664231-1 7.765486-3 7.696530-1 6.453451-3 8.709636-1 5.568732-3 1.007222+0 4.762308-3 1.178584+0 4.029123-3 1.347258+0 3.489017-3 1.619761+0 2.862463-3 1.947381+0 2.348424-3 2.341267+0 1.926696-3 2.814822+0 1.580702-3 3.384160+0 1.296841-3 4.068655+0 1.063955-3 4.891600+0 8.728910-4 5.880996+0 7.161379-4 7.070513+0 5.875345-4 8.500626+0 4.820256-4 9.760024+0 4.155254-4 1.000000+1 8.412035-4 1 43000 7 0 9.900000+1 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-4.288259+1 2.607297-6-4.140258+1 3.075422-6-3.904844+1 3.268502-6-3.607130+1 3.357314-6-3.295366+1 3.411304-6-2.923862+1 3.438353-6-2.588205+1 3.453480-6-2.264983+1 3.463768-6-1.945520+1 3.472272-6-1.696677+1 3.481840-6-1.372955+1 3.492205-6-1.066550+1 3.498850-6-9.379927+0 3.503501-6-9.081703+0 3.508417-6-9.279542+0 3.513600-6-1.029813+1 3.518517-6-1.205881+1 3.522703-6-1.408889+1 3.531340-6-1.979632+1 3.540576-6-2.732125+1 3.552468-6-3.604778+1 3.561091-6-4.003455+1 3.569003-6-4.042398+1 3.582833-6-3.541641+1 3.589035-6-3.170397+1 3.598330-6-2.457773+1 3.608196-6-1.717100+1 3.616029-6-1.342219+1 3.618215-6-1.277682+1 3.621340-6-1.236882+1 3.626728-6-1.224064+1 3.629467-6-1.296319+1 3.632328-6-1.439137+1 3.636834-6-1.781941+1 3.640736-6-2.177481+1 3.649222-6-3.364445+1 3.654669-6-4.326621+1 3.659264-6-3.498998+1 3.669956-6-1.552925+1 3.677491-6-4.412745+0 3.678521-6-3.040450+0 3.680324-6-9.378491-1 3.681676-6 4.758563-1 3.683704-6 2.406085+0 3.686831-6 5.135628+0 3.688754-6 6.456597+0 3.690196-6 7.283459+0 3.693441-6 8.670339+0 3.698369-6 9.635876+0 3.702077-6 9.656575+0 3.707709-6 8.341869+0 3.711005-6 7.265725+0 3.713203-6 6.043296+0 3.718972-6 3.406042+0 3.719933-6 2.882405+0 3.720895-6 2.232603+0 3.729685-6-2.693018+0 3.730784-6-3.393720+0 3.732707-6-4.398165+0 3.742871-6-9.035637+0 3.746717-6-1.115304+1 3.748249-6-1.231483+1 3.752169-6-1.428712+1 3.759968-6-1.709002+1 3.771558-6-2.008511+1 3.786801-6-2.292762+1 3.816638-6-2.665172+1 3.866652-6-3.034943+1 3.959152-6-3.392657+1 4.127090-6-3.689224+1 4.521647-6-3.951705+1 5.432125-6-4.258339+1 5.509320-6-4.346037+1 5.555294-6-4.347703+1 5.634300-6-3.938328+1 5.699535-6-3.989902+1 5.873875-6-4.153517+1 6.226951-6-4.275207+1 6.340094-6-4.215580+1 6.763225-6-4.386688+1 6.862704-6-4.194367+1 6.953570-6-3.882965+1 6.992778-6-4.038090+1 7.026581-6-4.430408+1 7.068808-6-3.946634+1 7.104238-6-3.830739+1 7.189978-6-4.187381+1 7.230883-6-4.121842+1 7.303700-6-3.735604+1 7.370307-6-3.732504+1 7.630546-6-4.087742+1 8.009027-6-4.235328+1 8.794957-6-4.354182+1 8.934978-6-4.345928+1 9.069613-6-4.208042+1 9.251526-6-4.278411+1 9.418749-6-4.224186+1 9.621690-6-4.264145+1 9.970745-6-4.258584+1 1.862087-5-4.345459+1 2.548725-5-4.090897+1 2.885108-5-3.870928+1 3.370728-5-3.248055+1 3.554370-5-2.885776+1 3.652997-5-2.571824+1 3.724955-5-2.201440+1 3.769063-5-1.837903+1 3.796648-5-1.497127+1 3.813441-5-1.209087+1 3.823398-5-9.864360+0 3.835112-5-6.542589+0 3.842174-5-4.224333+0 3.844528-5-3.326444+0 3.849237-5-1.365971+0 3.851591-5-2.775344-1 3.853945-5 9.503291-1 3.856241-5 2.304777+0 3.857389-5 3.067259+0 3.857963-5 3.495675+0 3.859140-5 4.564650+0 3.860195-5 5.328550+0 3.863361-5 7.294215+0 3.866904-5 9.231694+0 3.876203-5 1.404560+1 3.878719-5 1.576733+1 3.887029-5 2.033833+1 3.890294-5 2.208411+1 3.897713-5 2.506967+1 3.906024-5 2.608973+1 3.910202-5 2.559728+1 3.916498-5 2.294973+1 3.920891-5 1.994256+1 3.925739-5 1.538585+1 3.928392-5 1.217602+1 3.931896-5 6.960998+0 3.933206-5 4.856662+0 3.933861-5 3.718862+0 3.935109-5 1.241743+0 3.940674-5-8.674787+0 3.943074-5-1.345168+1 3.945550-5-1.929446+1 3.952231-5-3.309718+1 3.954472-5-2.746724+1 3.963007-5-9.841377+0 3.963879-5-7.843855+0 3.964957-5-5.725581+0 3.965901-5-4.002641+0 3.967552-5-1.168509+0 3.971885-5 5.819184+0 3.973214-5 8.177653+0 3.974587-5 1.018177+1 3.977082-5 1.326617+1 3.981327-5 1.743934+1 3.984576-5 1.990781+1 3.989221-5 2.246478+1 3.992953-5 2.369615+1 3.998094-5 2.403469+1 4.005745-5 2.203237+1 4.009307-5 2.056798+1 4.011681-5 1.894421+1 4.018952-5 1.477399+1 4.021178-5 1.297724+1 4.028450-5 8.371162+0 4.030676-5 6.686471+0 4.032772-5 5.385585+0 4.035869-5 3.647327+0 4.038986-5 1.985776+0 4.043734-5-6.156021-1 4.046109-5-2.063621+0 4.047296-5-2.877522+0 4.047889-5-3.332557+0 4.049136-5-4.488666+0 4.050432-5-5.415070+0 4.054220-5-7.585793+0 4.059011-5-9.820638+0 4.067794-5-1.317306+1 4.082424-5-1.765212+1 4.123694-5-2.856929+1 4.134656-5-3.283803+1 4.152435-5-2.663644+1 4.166714-5-2.123070+1 4.175647-5-1.837645+1 4.185235-5-1.661571+1 4.191182-5-1.670927+1 4.197902-5-1.790046+1 4.204340-5-2.006964+1 4.210022-5-2.299075+1 4.214537-5-2.652767+1 4.221930-5-3.278925+1 4.233588-5-2.046858+1 4.236015-5-1.753393+1 4.243598-5-9.794410+0 4.244904-5-8.207546+0 4.248079-5-5.195319+0 4.254141-5-3.822990-2 4.254972-5 7.209411-1 4.256531-5 1.898981+0 4.257895-5 2.812059+0 4.260281-5 4.228495+0 4.262071-5 5.168662+0 4.264755-5 6.415527+0 4.269592-5 8.260432+0 4.274769-5 9.544005+0 4.279093-5 1.009457+1 4.283263-5 1.009910+1 4.292281-5 8.668837+0 4.303882-5 5.346751+0 4.304994-5 4.900724+0 4.315165-5 1.511105+0 4.316888-5 8.816869-1 4.319903-5-2.065394-2 4.328949-5-2.472053+0 4.332227-5-3.426584+0 4.334687-5-4.271308+0 4.336430-5-5.062603+0 4.339200-5-5.967059+0 4.345607-5-7.547232+0 4.354673-5-9.248123+0 4.369954-5-1.140124+1 4.394195-5-1.383391+1 4.434724-5-1.656503+1 4.501712-5-1.948303+1 4.640524-5-2.395347+1 4.720274-5-2.492282+1 4.836996-5-2.412239+1 4.992176-5-2.427898+1 5.358490-5-2.391399+1 7.598730-5-2.784369+1 1.153301-4-3.055570+1 2.073600-4-3.378223+1 2.454709-4-3.689326+1 2.612811-4-3.996812+1 2.735152-4-4.256796+1 2.870999-4-4.695949+1 2.980000-4-4.659036+1 3.430000-4-3.575736+1 3.767206-4-3.076717+1 4.085555-4-2.789399+1 4.208776-4-2.804145+1 4.269174-4-2.792708+1 4.389346-4-2.603188+1 4.498813-4-2.491956+1 4.696628-4-2.232429+1 5.028259-4-1.948632+1 5.285392-4-1.835288+1 5.376350-4-1.784883+1 5.553090-4-1.629619+1 5.986591-4-1.394778+1 6.550131-4-1.181754+1 7.189378-4-1.013526+1 8.082490-4-8.555067+0 8.963962-4-7.577227+0 1.000000-3-6.850652+0 1.156445-3-6.304932+0 1.333521-3-6.114300+0 1.557758-3-6.250054+0 1.795196-3-6.693990+0 2.058167-3-7.540448+0 2.263183-3-8.605631+0 2.409323-3-9.813203+0 2.511758-3-1.118241+1 2.579992-3-1.271885+1 2.620150-3-1.436742+1 2.653100-3-1.695804+1 2.671890-3-1.819147+1 2.689641-3-1.802661+1 2.732726-3-1.534740+1 2.759350-3-1.489893+1 2.792087-3-1.497995+1 2.813102-3-1.426851+1 2.853644-3-1.206410+1 2.885469-3-1.096633+1 2.938276-3-9.911472+0 2.983906-3-9.599314+0 3.017354-3-9.517071+0 3.047615-3-8.841146+0 3.088477-3-7.676835+0 3.145728-3-6.622874+0 3.241510-3-5.403688+0 3.349654-3-4.405217+0 3.479091-3-3.522719+0 3.601966-3-2.871372+0 3.730882-3-2.331235+0 3.877395-3-1.848551+0 4.045140-3-1.419485+0 4.212915-3-1.082394+0 4.348523-3-8.596857-1 4.461193-3-7.051528-1 4.630417-3-5.172967-1 4.804848-3-3.563299-1 4.915200-3-2.740018-1 5.038964-3-1.956618-1 5.195413-3-1.153182-1 5.268885-3-8.406699-2 5.337383-3-5.650790-2 5.375357-3-4.219194-2 5.424690-3-2.471816-2 5.491456-3-3.423102-3 5.560858-3 1.620103-2 5.603721-3 2.779417-2 5.633538-3 3.515409-2 5.688529-3 4.741076-2 5.751165-3 6.027549-2 5.857336-3 7.672670-2 5.998162-3 9.418199-2 6.144000-3 1.068302-1 6.387975-3 1.161439-1 6.543649-3 1.183448-1 6.690657-3 1.169433-1 7.006844-3 1.028290-1 7.178787-3 9.196300-2 7.377184-3 7.542261-2 7.669302-3 4.625521-2 7.909454-3 1.897787-2 8.035261-3 3.611208-3 8.271802-3-2.488154-2 8.778848-3-9.121514-2 9.660509-3-2.139508-1 1.483958-2-9.498877-1 1.653297-2-1.235813+0 1.789350-2-1.537946+0 1.884588-2-1.838236+0 1.947317-2-2.124736+0 1.993646-2-2.435236+0 2.028684-2-2.795490+0 2.051124-2-3.170862+0 2.067333-2-3.625275+0 2.092282-2-4.528709+0 2.101640-2-4.620770+0 2.112537-2-4.409915+0 2.142529-2-3.223535+0 2.160772-2-2.754901+0 2.186213-2-2.343827+0 2.217874-2-1.992528+0 2.265773-2-1.615514+0 2.319209-2-1.313405+0 2.358181-2-1.140393+0 2.425094-2-9.089182-1 2.498202-2-7.157196-1 2.561793-2-5.796033-1 2.639878-2-4.430501-1 2.730415-2-3.147439-1 2.788370-2-2.487388-1 2.864552-2-1.746312-1 2.946966-2-1.082830-1 3.015131-2-6.279244-2 3.089964-2-1.974722-2 3.137125-2 3.365958-3 3.159206-2 1.424336-2 3.230000-2 4.465321-2 3.320992-2 7.820387-2 3.401591-2 1.017845-1 3.475894-2 1.195673-1 3.569260-2 1.387670-1 3.738995-2 1.639464-1 4.034002-2 1.893994-1 4.242073-2 1.976042-1 4.584921-2 1.974531-1 5.173897-2 1.818467-1 7.275646-2 8.566164-2 8.016315-2 5.546664-2 8.704840-2 3.053828-2 9.226786-2 1.345474-2 9.432243-2 7.189223-3 9.681143-2-8.872128-6 9.688657-2-2.247257-4 9.818924-2-3.812282-3 1.031106-1-1.697321-2 1.084508-1-2.988075-2 1.161513-1-4.669219-2 1.266088-1-6.612024-2 1.400387-1-8.667014-2 1.584448-1-1.087214-1 1.863925-1-1.330452-1 2.286106-1-1.568943-1 2.895185-1-1.769232-1 3.949685-1-1.941503-1 6.116812-1-2.072808-1 1.228714+0-2.147806-1 3.710658+0-2.170098-1 1.000000+1-2.171718-1 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 8.806292-3 1.092877-6 1.307640-2 1.127029-6 1.501754-2 1.162249-6 1.728263-2 1.233966-6 2.284978-2 1.301476-6 2.949609-2 1.364832-6 3.726218-2 1.395034-6 4.157851-2 1.480977-6 5.656885-2 1.583942-6 8.037182-2 1.630650-6 9.380667-2 1.674439-6 1.083823-1 1.715491-6 1.240625-1 1.753977-6 1.407979-1 1.790057-6 1.585288-1 1.823883-6 1.771865-1 1.885324-6 2.169807-1 1.913196-6 2.381501-1 1.965455-6 2.835048-1 2.011182-6 3.302928-1 2.051193-6 3.779077-1 2.086202-6 4.255534-1 2.116835-6 4.726114-1 2.143640-6 5.188606-1 2.190547-6 6.115610-1 2.225727-6 6.925705-1 2.252113-6 7.617910-1 2.291691-6 8.806273-1 2.342745-6 1.063195+0 2.382912-6 1.238697+0 2.423079-6 1.450550+0 2.446031-6 1.591847+0 2.477503-6 1.812891+0 2.505041-6 2.036304+0 2.529137-6 2.259980+0 2.550221-6 2.481337+0 2.568669-6 2.698154+0 2.584811-6 2.908075+0 2.613060-6 3.326407+0 2.634247-6 3.690685+0 2.650137-6 3.998594+0 2.673972-6 4.525156+0 2.704447-6 5.334262+0 2.724368-6 5.968749+0 2.744289-6 6.709029+0 2.764210-6 7.578096+0 2.784131-6 8.606177+0 2.804052-6 9.834068+0 2.823973-6 1.131664+1 2.830613-6 1.187946+1 2.843503-6 1.308820+1 2.855587-6 1.438253+1 2.866916-6 1.576461+1 2.880000-6 1.760599+1 2.887494-6 1.880175+1 2.896829-6 2.046199+1 2.905581-6 2.221999+1 2.913785-6 2.407785+1 2.921477-6 2.603730+1 2.928688-6 2.809981+1 2.935448-6 3.026674+1 2.941786-6 3.253965+1 2.947727-6 3.492060+1 2.958868-6 4.020231+1 2.968616-6 4.599089+1 2.977145-6 5.231758+1 2.984609-6 5.919015+1 2.991139-6 6.657195+1 2.996853-6 7.437477+1 3.001853-6 8.246737+1 3.006228-6 9.069404+1 3.010056-6 9.889521+1 3.016336-6 1.146583+2 3.025312-6 1.428887+2 3.037786-6 1.945227+2 3.044327-6 2.272134+2 3.049933-6 2.577369+2 3.051801-6 2.683019+2 3.059276-6 3.116092+2 3.060211-6 3.170573+2 3.066751-6 3.545582+2 3.069321-6 3.686905+2 3.074226-6 3.940761+2 3.076795-6 4.063024+2 3.079248-6 4.171487+2 3.081701-6 4.271025+2 3.084971-6 4.388637+2 3.089176-6 4.512782+2 3.092913-6 4.596854+2 3.097585-6 4.668296+2 3.102490-6 4.707868+2 3.105468-6 4.717967+2 3.118518-6 4.727301+2 3.123118-6 4.760743+2 3.126899-6 4.819688+2 3.130444-6 4.909653+2 3.133550-6 5.021742+2 3.136854-6 5.180001+2 3.137738-6 5.229639+2 3.141580-6 5.483743+2 3.145153-6 5.777802+2 3.147001-6 5.952222+2 3.151581-6 6.449180+2 3.156449-6 7.072402+2 3.165376-6 8.418632+2 3.170762-6 9.306804+2 3.174456-6 9.922326+2 3.178343-6 1.055693+3 3.182107-6 1.114193+3 3.183849-6 1.139835+3 3.188653-6 1.204279+3 3.192502-6 1.247803+3 3.196436-6 1.283356+3 3.199576-6 1.304543+3 3.207145-6 1.327076+3 3.209247-6 1.325948+3 3.215071-6 1.306245+3 3.218730-6 1.281963+3 3.222276-6 1.250383+3 3.226179-6 1.207411+3 3.229961-6 1.158646+3 3.233324-6 1.110408+3 3.236566-6 1.060399+3 3.241489-6 9.797277+2 3.245332-6 9.143564+2 3.249655-6 8.399563+2 3.253017-6 7.824332+2 3.260702-6 6.556711+2 3.263344-6 6.144436+2 3.268388-6 5.400606+2 3.274152-6 4.628819+2 3.281916-6 3.731181+2 3.296774-6 2.454821+2 3.303294-6 2.054280+2 3.306535-6 1.885306+2 3.309764-6 1.734614+2 3.316195-6 1.480353+2 3.322577-6 1.278677+2 3.328908-6 1.118098+2 3.335191-6 9.892443+1 3.341424-6 8.847145+1 3.347608-6 7.988098+1 3.353744-6 7.272241+1 3.359832-6 6.667427+1 3.365873-6 6.149779+1 3.371866-6 5.701543+1 3.377813-6 5.309424+1 3.389613-6 4.653286+1 3.401228-6 4.128323+1 3.412663-6 3.699065+1 3.423918-6 3.342069+1 3.434998-6 3.041094+1 3.445905-6 2.784458+1 3.456641-6 2.563500+1 3.467209-6 2.371633+1 3.477613-6 2.203744+1 3.487853-6 2.055798+1 3.508015-6 1.805716+1 3.527546-6 1.604906+1 3.546467-6 1.440690+1 3.564797-6 1.304410+1 3.582554-6 1.189876+1 3.600000-6 1.091240+1 3.616421-6 1.008998+1 3.632564-6 9.366927+0 3.648204-6 8.735999+0 3.678505-6 7.674233+0 3.706912-6 6.834159+0 3.733544-6 6.156561+0 3.758511-6 5.601603+0 3.803862-6 4.753985+0 3.845007-6 4.122321+0 3.912510-6 3.290116+0 4.024488-6 2.295960+0 4.078755-6 1.928325+0 4.143194-6 1.556735+0 4.183885-6 1.353213+0 4.224577-6 1.170530+0 4.255096-6 1.045137+0 4.285615-6 9.287774-1 4.316133-6 8.213337-1 4.336479-6 7.545713-1 4.453156-6 4.177748-1 4.496909-6 3.109943-1 4.535194-6 2.287519-1 4.568693-6 1.649931-1 4.598005-6 1.160317-1 4.623652-6 7.934721-2 4.646094-6 5.298024-2 4.665730-6 3.530702-2 4.682912-6 2.485650-2 4.697946-6 2.014819-2 4.711101-6 1.966047-2 4.722612-6 2.196018-2 4.727648-6 2.371133-2 4.732369-6 2.573463-2 4.736795-6 2.795015-2 4.744834-6 3.273465-2 4.755106-6 4.035033-2 4.760928-6 4.559535-2 4.766045-6 5.096579-2 4.770543-6 5.646469-2 4.776289-6 6.491475-2 4.781023-6 7.347330-2 4.786066-6 8.468925-2 4.788594-6 9.131896-2 4.793467-6 1.064184-1 4.797605-6 1.221046-1 4.801093-6 1.377670-1 4.805587-6 1.618122-1 4.812106-6 2.059477-1 4.826325-6 3.520429-1 4.832110-6 4.361355-1 4.837943-6 5.381960-1 4.841276-6 6.049605-1 4.847639-6 7.506223-1 4.849323-6 7.933062-1 4.855216-6 9.567504-1 4.860372-6 1.117854+0 4.861853-6 1.167223+0 4.873015-6 1.581966+0 4.877989-6 1.788892+0 4.885943-6 2.142341+0 4.889970-6 2.329277+0 4.894452-6 2.541121+0 4.897332-6 2.678380+0 4.900213-6 2.815671+0 4.905181-6 3.050395+0 4.908985-6 3.226331+0 4.913256-6 3.417573+0 4.917970-6 3.617957+0 4.921410-6 3.755251+0 4.927321-6 3.969628+0 4.932297-6 4.125338+0 4.935807-6 4.219757+0 4.939853-6 4.311451+0 4.945027-6 4.400197+0 4.957426-6 4.474630+0 4.962631-6 4.446830+0 4.967941-6 4.383617+0 4.973060-6 4.291142+0 4.977414-6 4.189884+0 4.983012-6 4.032149+0 4.987263-6 3.894084+0 4.991811-6 3.731419+0 4.995525-6 3.588902+0 5.000400-6 3.391261+0 5.005101-6 3.192130+0 5.011329-6 2.920387+0 5.015989-6 2.714562+0 5.021901-6 2.454717+0 5.026334-6 2.263212+0 5.029298-6 2.137719+0 5.037103-6 1.820591+0 5.039705-6 1.719984+0 5.048994-6 1.385367+0 5.053099-6 1.250781+0 5.055704-6 1.169853+0 5.059611-6 1.055052+0 5.063518-6 9.482077-1 5.069471-6 8.006142-1 5.075424-6 6.709762-1 5.081666-6 5.534811-1 5.088344-6 4.472841-1 5.097019-6 3.366201-1 5.105425-6 2.550301-1 5.109529-6 2.231215-1 5.113570-6 1.961775-1 5.117547-6 1.735539-1 5.125378-6 1.387594-1 5.132963-6 1.151162-1 5.140312-6 9.939461-2 5.147431-6 8.911530-2 5.161009-6 7.802934-2 5.170616-6 7.382315-2 5.182960-6 7.026326-2 5.194532-6 6.816341-2 5.205382-6 6.803973-2 5.215553-6 7.105409-2 5.225088-6 7.836994-2 5.234028-6 9.087711-2 5.242409-6 1.091270-1 5.250266-6 1.333669-1 5.257632-6 1.636084-1 5.264537-6 1.996961-1 5.283150-6 3.438111-1 5.293771-6 4.653058-1 5.303065-6 6.022833-1 5.311197-6 7.512060-1 5.324538-6 1.071318+0 5.358927-6 2.635869+0 5.374727-6 4.003134+0 5.407759-6 9.639514+0 5.420972-6 1.359542+1 5.430554-6 1.732976+1 5.438591-6 2.112190+1 5.446676-6 2.561480+1 5.454465-6 3.064083+1 5.480473-6 5.273182+1 5.494792-6 6.821815+1 5.496473-6 7.016323+1 5.509119-6 8.541981+1 5.513675-6 9.109317+1 5.522373-6 1.019677+2 5.526094-6 1.065724+2 5.532424-6 1.142338+2 5.537270-6 1.198781+2 5.541228-6 1.242950+2 5.547129-6 1.304777+2 5.553102-6 1.361419+2 5.560051-6 1.418326+2 5.564945-6 1.451796+2 5.571743-6 1.488226+2 5.577985-6 1.510609+2 5.585902-6 1.522925+2 5.590247-6 1.521875+2 5.603249-6 1.486009+2 5.607972-6 1.461355+2 5.610400-6 1.446418+2 5.618285-6 1.388104+2 5.623888-6 1.338409+2 5.627776-6 1.300397+2 5.631303-6 1.263709+2 5.637091-6 1.199627+2 5.643590-6 1.123085+2 5.649018-6 1.056513+2 5.654252-6 9.909254+1 5.655997-6 9.688940+1 5.662678-6 8.844044+1 5.667689-6 8.215403+1 5.670982-6 7.807657+1 5.676663-6 7.119295+1 5.682344-6 6.455640+1 5.695247-6 5.069437+1 5.700071-6 4.602382+1 5.711083-6 3.654716+1 5.725154-6 2.699886+1 5.735541-6 2.185241+1 5.740355-6 2.001383+1 5.743172-6 1.909673+1 5.745636-6 1.838948+1 5.747793-6 1.784294+1 5.751567-6 1.704716+1 5.757228-6 1.623069+1 5.760058-6 1.598886+1 5.763109-6 1.584984+1 5.765913-6 1.583143+1 5.768513-6 1.590618+1 5.773129-6 1.625147+1 5.776234-6 1.663242+1 5.779369-6 1.713453+1 5.782685-6 1.779008+1 5.784794-6 1.827134+1 5.789538-6 1.952980+1 5.794883-6 2.122275+1 5.803536-6 2.451938+1 5.815065-6 2.979249+1 5.822415-6 3.354329+1 5.827541-6 3.627837+1 5.833286-6 3.941210+1 5.838965-6 4.253517+1 5.845370-6 4.602723+1 5.855329-6 5.124104+1 5.861756-6 5.436918+1 5.867052-6 5.675731+1 5.873567-6 5.941443+1 5.878791-6 6.129250+1 5.883264-6 6.270556+1 5.889667-6 6.439618+1 5.895028-6 6.549767+1 5.898150-6 6.600437+1 5.908818-6 6.698402+1 5.913709-6 6.705032+1 5.918147-6 6.690986+1 5.925427-6 6.628638+1 5.931373-6 6.543976+1 5.939177-6 6.391565+1 5.946702-6 6.205985+1 5.955672-6 5.944228+1 5.962134-6 5.734157+1 5.971495-6 5.406940+1 5.974616-6 5.293575+1 5.988731-6 4.767636+1 6.008801-6 4.026968+1 6.023182-6 3.532024+1 6.035058-6 3.157068+1 6.063709-6 2.396751+1 6.085442-6 1.953702+1 6.106749-6 1.616319+1 6.113298-6 1.529155+1 6.127281-6 1.365340+1 6.138152-6 1.256477+1 6.150138-6 1.152428+1 6.162755-6 1.058304+1 6.183803-6 9.295529+0 6.201377-6 8.430141+0 6.225453-6 7.469180+0 6.246289-6 6.790514+0 6.265232-6 6.264025+0 6.290003-6 5.674058+0 6.319755-6 5.077667+0 6.348703-6 4.587239+0 6.389107-6 4.014994+0 6.433436-6 3.498722+0 6.507484-6 2.811200+0 6.623400-6 2.011722+0 6.702955-6 1.583790+0 6.782510-6 1.217780+0 6.871195-6 8.614884-1 6.914894-6 7.006862-1 6.952052-6 5.706299-1 6.982147-6 4.698816-1 6.998960-6 4.156959-1 7.015773-6 3.634946-1 7.032586-6 3.140561-1 7.066213-6 2.297970-1 7.083026-6 2.007804-1 7.099839-6 1.869855-1 7.108246-6 1.880318-1 7.116653-6 1.958618-1 7.125059-6 2.117804-1 7.133466-6 2.372364-1 7.136855-6 2.505519-1 7.142878-6 2.790047-1 7.147396-6 3.046856-1 7.154172-6 3.508288-1 7.160948-6 4.069324-1 7.179694-6 6.214165-1 7.196113-6 8.909356-1 7.204429-6 1.059307+0 7.207633-6 1.130042+0 7.216773-6 1.349835+0 7.223072-6 1.516534+0 7.228549-6 1.671234+0 7.238035-6 1.959213+0 7.242973-6 2.118331+0 7.246251-6 2.227047+0 7.251209-6 2.395728+0 7.257638-6 2.620952+0 7.262346-6 2.789576+0 7.269438-6 3.047495+0 7.275241-6 3.260206+0 7.282765-6 3.535146+0 7.287154-6 3.693644+0 7.294508-6 3.953359+0 7.302048-6 4.208371+0 7.309783-6 4.453729+0 7.312183-6 4.525808+0 7.321135-6 4.774779+0 7.328828-6 4.960183+0 7.333693-6 5.062115+0 7.340673-6 5.185804+0 7.348751-6 5.293626+0 7.354412-6 5.345505+0 7.363868-6 5.387273+0 7.371978-6 5.377965+0 7.384306-6 5.285608+0 7.392142-6 5.180288+0 7.395882-6 5.118085+0 7.401492-6 5.011240+0 7.407102-6 4.889243+0 7.413635-6 4.729895+0 7.422209-6 4.496248+0 7.430477-6 4.249430+0 7.433233-6 4.163377+0 7.442055-6 3.878359+0 7.448672-6 3.657943+0 7.450877-6 3.583731+0 7.464110-6 3.137353+0 7.468522-6 2.990318+0 7.486166-6 2.428646+0 7.492103-6 2.253613+0 7.521455-6 1.540066+0 7.526147-6 1.453505+0 7.530625-6 1.378655+0 7.535103-6 1.311547+0 7.546882-6 1.172669+0 7.551504-6 1.133192+0 7.565367-6 1.065001+0 7.567678-6 1.060817+0 7.583852-6 1.085855+0 7.586162-6 1.096794+0 7.590206-6 1.120056+0 7.602337-6 1.218919+0 7.610212-6 1.303663+0 7.620383-6 1.432425+0 7.636698-6 1.670354+0 7.647409-6 1.836568+0 7.655844-6 1.966988+0 7.667033-6 2.132396+0 7.675120-6 2.242286+0 7.681763-6 2.324187+0 7.688261-6 2.395548+0 7.695915-6 2.466931+0 7.713245-6 2.570910+0 7.719599-6 2.587477+0 7.731729-6 2.586267+0 7.737040-6 2.572467+0 7.743102-6 2.547309+0 7.747648-6 2.522186+0 7.754467-6 2.475159+0 7.761286-6 2.417973+0 7.765450-6 2.378621+0 7.774820-6 2.279802+0 7.784802-6 2.162677+0 7.791660-6 2.077747+0 7.805668-6 1.900903+0 7.824153-6 1.680038+0 7.833332-6 1.583194+0 7.842638-6 1.497237+0 7.852068-6 1.424545+0 7.856829-6 1.393741+0 7.871113-6 1.325736+0 7.879607-6 1.302302+0 7.885807-6 1.292687+0 7.889346-6 1.289839+0 7.895537-6 1.289100+0 7.900181-6 1.291775+0 7.910630-6 1.306255+0 7.924716-6 1.338772+0 7.947296-6 1.399301+0 7.966341-6 1.434088+0 7.968722-6 1.436346+0 7.985387-6 1.435210+0 7.990148-6 1.428938+0 7.997290-6 1.414291+0 8.004432-6 1.393340+0 8.009858-6 1.373291+0 8.014605-6 1.352926+0 8.022913-6 1.311336+0 8.029144-6 1.275611+0 8.039032-6 1.212153+0 8.047837-6 1.150149+0 8.053666-6 1.107105+0 8.059495-6 1.063073+0 8.073844-6 9.538556-1 8.097758-6 7.870258-1 8.115842-6 6.904632-1 8.124290-6 6.576761-1 8.128370-6 6.450088-1 8.136020-6 6.271193-1 8.155405-6 6.173763-1 8.157877-6 6.198387-1 8.162204-6 6.261328-1 8.168695-6 6.402174-1 8.175186-6 6.596784-1 8.178798-6 6.727345-1 8.185119-6 6.992048-1 8.189859-6 7.219040-1 8.196970-6 7.601293-1 8.208493-6 8.312397-1 8.226346-6 9.575459-1 8.239373-6 1.056040+0 8.249464-6 1.132512+0 8.259554-6 1.206741+0 8.271713-6 1.290306+0 8.280832-6 1.346937+0 8.283872-6 1.364423+0 8.313655-6 1.490709+0 8.316654-6 1.498391+0 8.337648-6 1.524640+0 8.341880-6 1.524146+0 8.349286-6 1.518790+0 8.360877-6 1.499531+0 8.371505-6 1.471285+0 8.378420-6 1.448131+0 8.390521-6 1.400041+0 8.399596-6 1.358943+0 8.413210-6 1.291921+0 8.426823-6 1.221888+0 8.452335-6 1.095217+0 8.477058-6 9.939080-1 8.503642-6 9.216955-1 8.511374-6 9.085715-1 8.534839-6 8.892716-1 8.542213-6 8.888913-1 8.555416-6 8.936951-1 8.564938-6 9.006775-1 8.590607-6 9.281526-1 8.619150-6 9.608366-1 8.632719-6 9.732342-1 8.641347-6 9.794485-1 8.656022-6 9.866976-1 8.675226-6 9.899245-1 8.690219-6 9.881826-1 8.719233-6 9.781177-1 8.761466-6 9.619656-1 8.790232-6 9.583190-1 8.817751-6 9.626758-1 8.851181-6 9.767002-1 8.949148-6 1.035487+0 9.015107-6 1.068062+0 9.191744-6 1.148711+0 9.407989-6 1.260323+0 9.630216-6 1.394014+0 9.848740-6 1.542918+0 1.008872-5 1.729326+0 1.024636-5 1.865964+0 1.042081-5 2.032094+0 1.073166-5 2.378833+0 1.113831-5 2.887703+0 1.141321-5 3.268967+0 1.181124-5 3.870433+0 1.217415-5 4.477671+0 1.292490-5 5.869464+0 1.333521-5 6.722604+0 1.385000-5 7.973630+0 1.435083-5 9.311577+0 1.520882-5 1.195018+1 1.604792-5 1.496559+1 1.757924-5 2.166365+1 1.865174-5 2.734043+1 1.975000-5 3.409973+1 2.162719-5 4.775191+1 2.300000-5 5.941398+1 2.426610-5 7.115810+1 2.540973-5 8.236650+1 2.643008-5 9.257859+1 2.729651-5 1.012222+2 2.790640-5 1.071566+2 2.862500-5 1.139044+2 2.989063-5 1.253923+2 3.273407-5 1.544707+2 3.403924-5 1.697514+2 3.467599-5 1.784150+2 3.549131-5 1.908443+2 3.599067-5 1.999358+2 3.657974-5 2.124368+2 3.698359-5 2.225778+2 3.731004-5 2.321885+2 3.769790-5 2.458048+2 3.803879-5 2.603985+2 3.833841-5 2.759693+2 3.863461-5 2.948135+2 3.883318-5 3.100538+2 3.903660-5 3.285984+2 3.921539-5 3.481152+2 3.937252-5 3.685426+2 3.957746-5 4.015354+2 3.971406-5 4.291823+2 3.979673-5 4.489844+2 3.988627-5 4.738830+2 3.997735-5 5.039838+2 4.003316-5 5.254521+2 4.014563-5 5.778973+2 4.019155-5 6.037309+2 4.027192-5 6.568097+2 4.033220-5 7.045299+2 4.037740-5 7.456150+2 4.042493-5 7.944124+2 4.048759-5 8.687290+2 4.051302-5 9.024757+2 4.061274-5 1.057532+3 4.068753-5 1.200454+3 4.081218-5 1.495991+3 4.093682-5 1.867055+3 4.101247-5 2.127390+3 4.108074-5 2.381899+3 4.119394-5 2.832894+3 4.121595-5 2.923013+3 4.129456-5 3.245255+3 4.134959-5 3.466537+3 4.139681-5 3.649872+3 4.144676-5 3.833912+3 4.148500-5 3.965948+3 4.153965-5 4.138206+3 4.159015-5 4.277153+3 4.160992-5 4.325594+3 4.167224-5 4.454327+3 4.171435-5 4.519163+3 4.176519-5 4.572064+3 4.181191-5 4.595284+3 4.186678-5 4.590874+3 4.189388-5 4.576055+3 4.199199-5 4.454330+3 4.203010-5 4.379628+3 4.204970-5 4.335626+3 4.211727-5 4.157053+3 4.216506-5 4.008042+3 4.220526-5 3.870215+3 4.224828-5 3.712019+3 4.229658-5 3.523645+3 4.233693-5 3.359666+3 4.238880-5 3.142883+3 4.243911-5 2.929343+3 4.250200-5 2.662593+3 4.256803-5 2.388251+3 4.259004-5 2.299052+3 4.269066-5 1.911692+3 4.275826-5 1.674511+3 4.284159-5 1.411772+3 4.294352-5 1.137176+3 4.311639-5 7.853683+2 4.321082-5 6.471698+2 4.323741-5 6.142984+2 4.327729-5 5.695848+2 4.337397-5 4.822892+2 4.342354-5 4.480968+2 4.352989-5 3.963591+2 4.363625-5 3.714969+2 4.367718-5 3.686069+2 4.374754-5 3.719567+2 4.377297-5 3.757052+2 4.388743-5 4.089024+2 4.395414-5 4.403706+2 4.400823-5 4.723261+2 4.406168-5 5.095061+2 4.411486-5 5.519366+2 4.422631-5 6.579969+2 4.434721-5 7.978212+2 4.445552-5 9.424088+2 4.455944-5 1.094626+3 4.463741-5 1.214473+3 4.471256-5 1.331620+3 4.477742-5 1.431665+3 4.484278-5 1.529127+3 4.488452-5 1.588482+3 4.494862-5 1.673501+3 4.500184-5 1.736975+3 4.505438-5 1.791980+3 4.510814-5 1.839216+3 4.516193-5 1.876308+3 4.521367-5 1.901638+3 4.523588-5 1.909270+3 4.531267-5 1.920271+3 4.536808-5 1.913361+3 4.542886-5 1.891874+3 4.547540-5 1.866112+3 4.551341-5 1.839506+3 4.556330-5 1.797648+3 4.562744-5 1.733695+3 4.568159-5 1.672351+3 4.573574-5 1.605797+3 4.580344-5 1.517474+3 4.584405-5 1.462795+3 4.597291-5 1.287888+3 4.611676-5 1.103309+3 4.629042-5 9.124963+2 4.640425-5 8.102646+2 4.647534-5 7.555039+2 4.656125-5 6.979548+2 4.670072-5 6.222603+2 4.675878-5 5.963239+2 4.693067-5 5.350607+2 4.704556-5 5.047422+2 4.716051-5 4.813066+2 4.727546-5 4.637768+2 4.735956-5 4.542304+2 4.744919-5 4.467407+2 4.755614-5 4.409352+2 4.762030-5 4.388301+2 4.773525-5 4.370730+2 4.785020-5 4.371152+2 4.817839-5 4.394900+2 4.830999-5 4.388904+2 4.846804-5 4.359424+2 4.868829-5 4.278198+2 4.879876-5 4.223554+2 4.915200-5 4.022089+2 4.957305-5 3.801727+2 4.994538-5 3.652667+2 5.038167-5 3.511694+2 5.083338-5 3.381439+2 5.111460-5 3.311366+2 5.137176-5 3.262955+2 5.150680-5 3.245620+2 5.171962-5 3.230223+2 5.195978-5 3.227299+2 5.259058-5 3.237549+2 5.293755-5 3.229560+2 5.443292-5 3.153216+2 5.537038-5 3.098499+2 5.753880-5 2.966147+2 6.055072-5 2.783674+2 6.334275-5 2.621762+2 6.746815-5 2.396937+2 7.236807-5 2.155679+2 7.500000-5 2.034936+2 7.617925-5 1.977750+2 7.759939-5 1.903795+2 7.797859-5 1.889994+2 7.854740-5 1.880871+2 7.932729-5 1.878969+2 8.003408-5 1.864966+2 8.152000-5 1.812597+2 8.972462-5 1.601405+2 9.527500-5 1.490852+2 9.680000-5 1.469347+2 9.875000-5 1.452865+2 1.071519-4 1.408263+2 1.433742-4 1.271058+2 1.513561-4 1.244270+2 1.597200-4 1.214055+2 1.705967-4 1.170711+2 1.760000-4 1.147010+2 1.862087-4 1.098156+2 1.960611-4 1.044777+2 2.030000-4 1.004305+2 2.124746-4 9.435535+1 2.213346-4 8.806969+1 2.304000-4 8.098846+1 2.385650-4 7.402686+1 2.467693-4 6.641745+1 2.517295-4 6.146713+1 2.592000-4 5.347303+1 2.646387-4 4.730298+1 2.691662-4 4.190552+1 2.729266-4 3.719228+1 2.744400-4 3.521292+1 2.778175-4 3.057551+1 2.793414-4 2.839570+1 2.802021-4 2.716012+1 2.834954-4 2.276222+1 2.843653-4 2.178300+1 2.857858-4 2.039830+1 2.871359-4 1.930535+1 2.900715-4 1.735465+1 2.913253-4 1.655725+1 2.925049-4 1.577791+1 2.933760-4 1.518234+1 2.962330-4 1.327382+1 2.970000-4 1.284555+1 2.978000-4 1.247724+1 2.983125-4 1.229431+1 2.990000-4 1.212683+1 2.998800-4 1.206494+1 3.007000-4 1.218701+1 3.013872-4 1.244208+1 3.020000-4 1.280044+1 3.026000-4 1.328219+1 3.032000-4 1.390438+1 3.037000-4 1.453814+1 3.042000-4 1.528359+1 3.047000-4 1.614717+1 3.053214-4 1.739456+1 3.058400-4 1.859132+1 3.065932-4 2.059521+1 3.073999-4 2.310861+1 3.091554-4 2.996467+1 3.106497-4 3.734763+1 3.117151-4 4.347515+1 3.131651-4 5.291514+1 3.142738-4 6.092937+1 3.149497-4 6.612367+1 3.159495-4 7.419590+1 3.170745-4 8.376763+1 3.176000-4 8.839263+1 3.182246-4 9.400122+1 3.193748-4 1.045946+2 3.206874-4 1.170085+2 3.220000-4 1.296490+2 3.232500-4 1.417978+2 3.240336-4 1.494324+2 3.257554-4 1.661663+2 3.273407-4 1.814241+2 3.295000-4 2.018230+2 3.311312-4 2.168631+2 3.329531-4 2.332395+2 3.350233-4 2.512684+2 3.370000-4 2.678537+2 3.388442-4 2.827033+2 3.410500-4 2.995898+2 3.420000-4 3.065578+2 3.450000-4 3.273578+2 3.470000-4 3.402058+2 3.507519-4 3.620868+2 3.545581-4 3.814406+2 3.575000-4 3.946878+2 3.605391-4 4.070667+2 3.632082-4 4.169605+2 3.680000-4 4.326678+2 3.758374-4 4.547498+2 3.858626-4 4.792675+2 3.919590-4 4.929997+2 3.994016-4 5.083224+2 4.087043-4 5.258099+2 4.154137-4 5.365524+2 4.232139-4 5.464821+2 4.309557-4 5.536505+2 4.379155-4 5.633855+2 4.397083-4 5.709149+2 4.420658-4 5.878004+2 4.431735-4 5.986735+2 4.453170-4 6.233225+2 4.485599-4 6.568700+2 4.497112-4 6.633595+2 4.507059-4 6.656527+2 4.517183-4 6.647781+2 4.530664-4 6.591956+2 4.573426-4 6.283645+2 4.584263-4 6.226831+2 4.597365-4 6.188717+2 4.613901-4 6.192693+2 4.639995-4 6.304569+2 4.663710-4 6.480680+2 4.686162-4 6.667024+2 4.713390-4 6.856501+2 4.724582-4 6.909802+2 4.734559-4 6.942734+2 4.746471-4 6.964475+2 4.761570-4 6.968771+2 4.813932-4 6.920613+2 4.844544-4 6.945397+2 4.901978-4 7.112572+2 4.974111-4 7.347068+2 5.053750-4 7.548566+2 5.160577-4 7.755151+2 5.281480-4 7.929229+2 5.396995-4 8.053436+2 5.608664-4 8.211989+2 5.649217-4 8.259630+2 5.712581-4 8.371094+2 5.854319-4 8.682917+2 5.923323-4 8.803641+2 6.037140-4 8.949146+2 6.188301-4 9.095881+2 6.503169-4 9.335656+2 6.870791-4 9.539894+2 7.344889-4 9.714586+2 7.807214-4 9.812999+2 8.486917-4 9.880957+2 9.416739-4 9.884539+2 1.026433-3 9.837746+2 1.105987-3 9.759843+2 1.250518-3 9.509231+2 1.384363-3 9.263319+2 1.450000-3 9.130395+2 1.582096-3 8.830956+2 1.662692-3 8.648099+2 1.746078-3 8.451976+2 1.830691-3 8.238551+2 1.923708-3 8.001795+2 2.014144-3 7.760330+2 2.111591-3 7.486973+2 2.199164-3 7.230635+2 2.279752-3 6.981578+2 2.353475-3 6.732586+2 2.414610-3 6.506431+2 2.472500-3 6.274832+2 2.519920-3 6.068951+2 2.563931-3 5.859661+2 2.604040-3 5.648278+2 2.641302-3 5.427417+2 2.669280-3 5.237549+2 2.694442-3 5.041896+2 2.716830-3 4.842903+2 2.735623-3 4.649655+2 2.751915-3 4.454433+2 2.761972-3 4.318842+2 2.775610-3 4.119011+2 2.796927-3 3.805201+2 2.806953-3 3.684709+2 2.814324-3 3.619228+2 2.821192-3 3.580841+2 2.827067-3 3.567472+2 2.830743-3 3.568631+2 2.837830-3 3.591373+2 2.845712-3 3.646207+2 2.851117-3 3.699267+2 2.860025-3 3.807353+2 2.880411-3 4.095031+2 2.888597-3 4.205173+2 2.897095-3 4.307886+2 2.904772-3 4.388797+2 2.913325-3 4.466167+2 2.929321-3 4.585369+2 2.946281-3 4.704712+2 2.963873-3 4.857200+2 2.977031-3 5.001365+2 3.018932-3 5.551464+2 3.036964-3 5.762656+2 3.047636-3 5.868650+2 3.058863-3 5.964460+2 3.076990-3 6.088272+2 3.095892-3 6.182840+2 3.115290-3 6.249407+2 3.148046-3 6.312931+2 3.174585-3 6.366300+2 3.188429-3 6.416994+2 3.208954-3 6.534643+2 3.259525-3 6.938103+2 3.273813-3 7.040073+2 3.290698-3 7.142916+2 3.309544-3 7.237273+2 3.333474-3 7.333908+2 3.360258-3 7.421695+2 3.423364-3 7.578947+2 3.500742-3 7.712897+2 3.589219-3 7.813742+2 3.686847-3 7.878270+2 3.787066-3 7.904361+2 3.909425-3 7.902509+2 4.077469-3 7.853895+2 4.292991-3 7.742248+2 4.572265-3 7.552458+2 4.903684-3 7.289716+2 5.307412-3 6.950360+2 5.816860-3 6.521685+2 6.427147-3 6.036767+2 7.174969-3 5.499938+2 8.018227-3 4.971078+2 9.143607-3 4.376879+2 1.006410-2 3.963229+2 1.084332-2 3.652607+2 1.174369-2 3.332518+2 1.271596-2 3.025421+2 1.376417-2 2.731803+2 1.478526-2 2.477462+2 1.594330-2 2.221215+2 1.712971-2 1.987829+2 1.818678-2 1.799601+2 1.901885-2 1.660781+2 1.967738-2 1.553929+2 2.020680-2 1.467259+2 2.062410-2 1.395745+2 2.092708-2 1.339643+2 2.116156-2 1.291126+2 2.126916-2 1.266186+2 2.137097-2 1.240127+2 2.145765-2 1.215431+2 2.157251-2 1.178489+2 2.176973-2 1.107358+2 2.188491-2 1.070137+2 2.196565-2 1.051666+2 2.201523-2 1.044805+2 2.207566-2 1.041679+2 2.212348-2 1.043348+2 2.218465-2 1.050453+2 2.226536-2 1.066813+2 2.251187-2 1.135499+2 2.262919-2 1.163486+2 2.273495-2 1.182808+2 2.281026-2 1.193429+2 2.290648-2 1.203938+2 2.301204-2 1.212456+2 2.324317-2 1.223883+2 2.351654-2 1.229680+2 2.382811-2 1.230378+2 2.437906-2 1.222032+2 2.491467-2 1.207073+2 2.556043-2 1.184040+2 2.661328-2 1.141137+2 2.819086-2 1.073249+2 2.985383-2 1.003208+2 3.200489-2 9.182243+1 3.522809-2 8.064991+1 3.826653-2 7.162200+1 4.219592-2 6.177076+1 4.796081-2 5.046382+1 5.355118-2 4.213295+1 6.007855-2 3.461478+1 7.310603-2 2.451769+1 9.904671-2 1.426307+1 1.193226-1 1.018750+1 1.447143-1 7.142935+0 1.779166-1 4.852395+0 2.212348-1 3.205841+0 3.000000-1 1.781613+0 4.269633-1 8.953688-1 6.456542-1 3.967565-1 1.126077+0 1.315640-1 3.086391+0 1.758699-2 9.320751+0 1.929532-3 2.814822+1 2.115830-4 8.500626+1 2.319979-5 2.567148+2 2.543808-6 7.752663+2 2.789230-7 2.511886+3 2.656967-8 7.943282+3 2.656967-9 2.511886+4 2.65697-10 7.943282+4 2.65697-11 1.000000+5 1.67643-11 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.269500-6 1.258900-6 2.012100-6 1.584900-6 3.188900-6 1.995300-6 5.054100-6 2.511900-6 8.010200-6 3.162300-6 1.269500-5 3.981100-6 2.012000-5 5.011900-6 3.188900-5 6.309600-6 5.054000-5 7.943300-6 8.009900-5 1.000000-5 1.269500-4 1.258900-5 2.012000-4 1.584900-5 3.188700-4 1.995300-5 5.053600-4 2.511900-5 8.009200-4 3.162300-5 1.269200-3 3.981100-5 2.011100-3 5.011900-5 3.186600-3 6.309600-5 5.049300-3 7.943300-5 7.992600-3 1.000000-4 1.264800-2 1.258900-4 2.002000-2 1.584900-4 3.163100-2 1.995300-4 4.993300-2 2.511900-4 7.861200-2 3.162300-4 1.233100-1 3.981100-4 1.922700-1 5.011900-4 2.964700-1 6.309600-4 4.502700-1 7.943300-4 6.703500-1 1.000000-3 9.731900-1 1.258900-3 1.372400+0 1.584900-3 1.879900+0 1.995300-3 2.509700+0 2.511900-3 3.279000+0 3.162300-3 4.195800+0 3.981100-3 5.270900+0 5.011900-3 6.518900+0 6.309600-3 7.948200+0 7.943300-3 9.519500+0 1.000000-2 1.114100+1 1.258900-2 1.274500+1 1.584900-2 1.431900+1 1.995300-2 1.579100+1 2.511900-2 1.720700+1 3.162300-2 1.830800+1 3.981100-2 1.928100+1 5.011900-2 1.987800+1 6.309600-2 2.013400+1 7.943300-2 2.005300+1 1.000000-1 1.965800+1 1.258900-1 1.903200+1 1.584900-1 1.819200+1 1.995300-1 1.719500+1 2.511900-1 1.609000+1 3.162300-1 1.492800+1 3.981100-1 1.374400+1 5.011900-1 1.256800+1 6.309600-1 1.141900+1 7.943300-1 1.030900+1 1.000000+0 9.253100+0 1.258900+0 8.251600+0 1.584900+0 7.311500+0 1.995300+0 6.437400+0 2.511900+0 5.631800+0 3.162300+0 4.896700+0 3.981100+0 4.232500+0 5.011900+0 3.638000+0 6.309600+0 3.110800+0 7.943300+0 2.647200+0 1.000000+1 2.242700+0 1.258900+1 1.892400+0 1.584900+1 1.591000+0 1.995300+1 1.333100+0 2.511900+1 1.113700+0 3.162300+1 9.279200-1 3.981100+1 7.712300-1 5.011900+1 6.395800-1 6.309600+1 5.293400-1 7.943300+1 4.373000-1 1.000000+2 3.606700-1 1.258900+2 2.970200-1 1.584900+2 2.442600-1 1.995300+2 2.006200-1 2.511900+2 1.645800-1 3.162300+2 1.348700-1 3.981100+2 1.104100-1 5.011900+2 9.030700-2 6.309600+2 7.379700-2 7.943300+2 6.025600-2 1.000000+3 4.916100-2 1.258900+3 4.008100-2 1.584900+3 3.265500-2 1.995300+3 2.658800-2 2.511900+3 2.163500-2 3.162300+3 1.759500-2 3.981100+3 1.430100-2 5.011900+3 1.161800-2 6.309600+3 9.433100-3 7.943300+3 7.655700-3 1.000000+4 6.210300-3 1.258900+4 5.035700-3 1.584900+4 4.081500-3 1.995300+4 3.306800-3 2.511900+4 2.678100-3 3.162300+4 2.168100-3 3.981100+4 1.754600-3 5.011900+4 1.419500-3 6.309600+4 1.148000-3 7.943300+4 9.281000-4 1.000000+5 7.501100-4 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510163-4 3.162278-4 3.159550-4 3.981072-4 3.976748-4 5.011872-4 5.005064-4 6.309573-4 6.298846-4 7.943282-4 7.926382-4 1.000000-3 9.973555-4 1.258925-3 1.254783-3 1.584893-3 1.578427-3 1.995262-3 1.985171-3 2.511886-3 2.496151-3 3.162278-3 3.137675-3 3.981072-3 3.942717-3 5.011872-3 4.951966-3 6.309573-3 6.216020-3 7.943282-3 7.797587-3 1.000000-2 9.774159-3 1.258925-2 1.224050-2 1.584893-2 1.531116-2 1.995262-2 1.912369-2 2.511886-2 2.384843-2 3.162278-2 2.968097-2 3.981072-2 3.686522-2 5.011872-2 4.567511-2 6.309573-2 5.644407-2 7.943282-2 6.954373-2 1.000000-1 8.545363-2 1.258925-1 1.045897-1 1.584893-1 1.276011-1 1.995262-1 1.551663-1 2.511886-1 1.880559-1 3.162278-1 2.271566-1 3.981072-1 2.734955-1 5.011872-1 3.282650-1 6.309573-1 3.928190-1 7.943282-1 4.689775-1 1.000000+0 5.582842-1 1.258925+0 6.636823-1 1.584893+0 7.880621-1 1.995262+0 9.351732-1 2.511886+0 1.109708+0 3.162278+0 1.317440+0 3.981072+0 1.565402+0 5.011872+0 1.862144+0 6.309573+0 2.218345+0 7.943282+0 2.646876+0 1.000000+1 3.163506+0 1.258925+1 3.787517+0 1.584893+1 4.542667+0 1.995262+1 5.457839+0 2.511886+1 6.568603+0 3.162278+1 7.918502+0 3.981072+1 9.561046+0 5.011872+1 1.156183+1 6.309573+1 1.400145+1 7.943282+1 1.697906+1 1.000000+2 2.061631+1 1.258925+2 2.506374+1 1.584893+2 3.050539+1 1.995262+2 3.716860+1 2.511886+2 4.533371+1 3.162278+2 5.534634+1 3.981072+2 6.763078+1 5.011872+2 8.271395+1 6.309573+2 1.012436+2 7.943282+2 1.240197+2 1.000000+3 1.520285+2 1.258925+3 1.864904+2 1.584893+3 2.289192+2 1.995262+3 2.811753+2 2.511886+3 3.455637+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739894-9 3.981072-5 4.342142-9 5.011872-5 6.881505-9 6.309573-5 1.090596-8 7.943282-5 1.727918-8 1.000000-4 2.737991-8 1.258925-4 4.339050-8 1.584893-4 6.872799-8 1.995262-4 1.088699-7 2.511886-4 1.723802-7 3.162278-4 2.727824-7 3.981072-4 4.324053-7 5.011872-4 6.808803-7 6.309573-4 1.072763-6 7.943282-4 1.690022-6 1.000000-3 2.644540-6 1.258925-3 4.142134-6 1.584893-3 6.466594-6 1.995262-3 1.009180-5 2.511886-3 1.573522-5 3.162278-3 2.460255-5 3.981072-3 3.835507-5 5.011872-3 5.990624-5 6.309573-3 9.355318-5 7.943282-3 1.456953-4 1.000000-2 2.258408-4 1.258925-2 3.487501-4 1.584893-2 5.377717-4 1.995262-2 8.289336-4 2.511886-2 1.270438-3 3.162278-2 1.941802-3 3.981072-2 2.945498-3 5.011872-2 4.443611-3 6.309573-2 6.651660-3 7.943282-2 9.889094-3 1.000000-1 1.454637-2 1.258925-1 2.130286-2 1.584893-1 3.088820-2 1.995262-1 4.435990-2 2.511886-1 6.313271-2 3.162278-1 8.907113-2 3.981072-1 1.246117-1 5.011872-1 1.729222-1 6.309573-1 2.381383-1 7.943282-1 3.253507-1 1.000000+0 4.417158-1 1.258925+0 5.952431-1 1.584893+0 7.968311-1 1.995262+0 1.060089+0 2.511886+0 1.402178+0 3.162278+0 1.844838+0 3.981072+0 2.415670+0 5.011872+0 3.149728+0 6.309573+0 4.091229+0 7.943282+0 5.296406+0 1.000000+1 6.836494+0 1.258925+1 8.801737+0 1.584893+1 1.130626+1 1.995262+1 1.449478+1 2.511886+1 1.855026+1 3.162278+1 2.370427+1 3.981072+1 3.024967+1 5.011872+1 3.855690+1 6.309573+1 4.909428+1 7.943282+1 6.245376+1 1.000000+2 7.938369+1 1.258925+2 1.008288+2 1.584893+2 1.279839+2 1.995262+2 1.623576+2 2.511886+2 2.058549+2 3.162278+2 2.608814+2 3.981072+2 3.304764+2 5.011872+2 4.184733+2 6.309573+2 5.297137+2 7.943282+2 6.703085+2 1.000000+3 8.479715+2 1.258925+3 1.072435+3 1.584893+3 1.355974+3 1.995262+3 1.714087+3 2.511886+3 2.166323+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.380000-6 1.463880+6 6.531306-6 1.299632+6 6.839116-6 1.018567+6 7.100000-6 8.312630+5 7.413102-6 6.535414+5 7.700000-6 5.254210+5 8.000000-6 4.190640+5 8.317638-6 3.301801+5 8.609938-6 2.653101+5 8.790000-6 2.317647+5 8.790000-6 6.007185+6 8.850000-6 6.042691+6 9.120108-6 6.207805+6 9.150000-6 6.228670+6 9.150000-6 9.925258+6 9.350000-6 1.015714+7 9.549926-6 1.039332+7 9.600000-6 1.045573+7 9.850000-6 1.077081+7 1.000000-5 1.096259+7 1.011579-5 1.111369+7 1.023293-5 1.126754+7 1.035142-5 1.142823+7 1.060000-5 1.176883+7 1.085000-5 1.211594+7 1.109175-5 1.245558+7 1.127000-5 1.270835+7 1.150000-5 1.303726+7 1.174898-5 1.339660+7 1.200000-5 1.375147+7 1.230269-5 1.418302+7 1.290000-5 1.504533+7 1.310000-5 1.533701+7 1.325000-5 1.555669+7 1.333521-5 1.568183+7 1.340000-5 1.577275+7 1.353000-5 1.595552+7 1.365000-5 1.612462+7 1.376000-5 1.627994+7 1.385000-5 1.640723+7 1.395000-5 1.654890+7 1.405000-5 1.669081+7 1.415000-5 1.683295+7 1.425000-5 1.697531+7 1.435000-5 1.711791+7 1.445440-5 1.726702+7 1.455000-5 1.740376+7 1.465000-5 1.754702+7 1.475000-5 1.769049+7 1.485000-5 1.783417+7 1.500000-5 1.805009+7 1.515000-5 1.826647+7 1.531087-5 1.849904+7 1.554900-5 1.882945+7 1.590000-5 1.931794+7 1.650000-5 2.015684+7 1.690000-5 2.071871+7 1.720000-5 2.114143+7 1.757924-5 2.167738+7 1.778279-5 2.195723+7 1.785000-5 2.204792+7 1.819701-5 2.251668+7 1.862087-5 2.309035+7 1.905461-5 2.367863+7 1.950000-5 2.428396+7 1.972423-5 2.458917+7 2.000000-5 2.493811+7 2.055000-5 2.563419+7 2.113489-5 2.637466+7 2.137962-5 2.668454+7 2.162719-5 2.697901+7 2.170000-5 2.706204+7 2.238721-5 2.784445+7 2.290868-5 2.843672+7 2.300000-5 2.853235+7 2.317395-5 2.870370+7 2.400000-5 2.951374+7 2.426610-5 2.974728+7 2.483133-5 3.020324+7 2.511886-5 3.043379+7 2.540973-5 3.063519+7 2.580000-5 3.087541+7 2.610000-5 3.105882+7 2.650000-5 3.125511+7 2.691535-5 3.142331+7 2.710800-5 3.150072+7 2.754229-5 3.162080+7 2.800000-5 3.170672+7 2.818383-5 3.171737+7 2.851018-5 3.173611+7 2.900000-5 3.171949+7 2.951209-5 3.163160+7 3.000000-5 3.150580+7 3.040000-5 3.135080+7 3.090295-5 3.111832+7 3.126079-5 3.090785+7 3.190000-5 3.048525+7 3.230000-5 3.017736+7 3.273407-5 2.981123+7 3.330000-5 2.928825+7 3.350000-5 2.909055+7 3.427678-5 2.826296+7 3.450000-5 2.801673+7 3.467369-5 2.780812+7 3.507519-5 2.733573+7 3.548134-5 2.684360+7 3.610000-5 2.605945+7 3.650000-5 2.554373+7 3.672823-5 2.523453+7 3.715352-5 2.467325+7 3.758374-5 2.410023+7 3.801894-5 2.350569+7 3.850000-5 2.285017+7 3.900000-5 2.216277+7 3.935501-5 2.167416+7 3.950000-5 2.147895+7 4.027170-5 2.042936+7 4.073803-5 1.980684+7 4.150000-5 1.880128+7 4.180000-5 1.841257+7 4.216965-5 1.792930+7 4.265795-5 1.731647+7 4.315191-5 1.670720+7 4.410200-5 1.556941+7 4.450000-5 1.511183+7 4.518559-5 1.433846+7 4.570882-5 1.376949+7 4.677351-5 1.266416+7 4.720000-5 1.224275+7 4.841724-5 1.110133+7 4.850000-5 1.102691+7 4.900000-5 1.057785+7 5.011872-5 9.652942+6 5.066000-5 9.219333+6 5.066000-5 1.193474+7 5.120000-5 1.149697+7 5.188000-5 1.095720+7 5.270000-5 1.030086+7 5.308844-5 9.999650+6 5.370318-5 9.545777+6 5.419000-5 9.184291+6 5.419000-5 1.045459+7 5.450000-5 1.023280+7 5.505000-5 9.841884+6 5.527000-5 9.688486+6 5.560000-5 9.456792+6 5.580000-5 9.317760+6 5.630000-5 8.976715+6 5.688529-5 8.593227+6 5.700000-5 8.518262+6 5.754399-5 8.170064+6 5.780000-5 8.010571+6 5.850000-5 7.589954+6 5.888437-5 7.364203+6 5.956621-5 6.980659+6 6.025596-5 6.614558+6 6.165950-5 5.916681+6 6.220000-5 5.666917+6 6.237348-5 5.588576+6 6.350000-5 5.108757+6 6.400000-5 4.907546+6 6.531306-5 4.418816+6 6.580000-5 4.250629+6 6.683439-5 3.913497+6 6.760830-5 3.679837+6 6.800000-5 3.566987+6 6.850000-5 3.429121+6 6.900000-5 3.296250+6 6.918310-5 3.249033+6 6.950000-5 3.169813+6 7.000000-5 3.048405+6 7.150000-5 2.714109+6 7.161434-5 2.690329+6 7.244360-5 2.523592+6 7.328245-5 2.369676+6 7.350000-5 2.331736+6 7.500000-5 2.086044+6 7.673615-5 1.840843+6 7.730000-5 1.769804+6 7.737400-5 1.760683+6 7.943282-5 1.531336+6 8.000000-5 1.475841+6 8.035261-5 1.443000+6 8.150000-5 1.342649+6 8.214000-5 1.291881+6 8.214000-5 1.464310+6 8.300000-5 1.402131+6 8.400000-5 1.336142+6 8.413951-5 1.327606+6 8.450000-5 1.305824+6 8.570000-5 1.238440+6 8.609938-5 1.217682+6 8.650000-5 1.197319+6 8.810489-5 1.125447+6 8.850000-5 1.109545+6 8.912509-5 1.085559+6 8.950000-5 1.071929+6 9.000000-5 1.054631+6 9.070000-5 1.031633+6 9.120108-5 1.016420+6 9.150000-5 1.007689+6 9.190000-5 9.966478+5 9.240200-5 9.835032+5 9.300000-5 9.685716+5 9.332543-5 9.608613+5 9.350000-5 9.568161+5 9.400000-5 9.456294+5 9.440609-5 9.369989+5 9.450000-5 9.351037+5 9.500000-5 9.253513+5 9.549926-5 9.161557+5 9.580000-5 9.108390+5 9.610000-5 9.057213+5 9.660509-5 8.975201+5 9.680000-5 8.946281+5 9.760000-5 8.833528+5 9.772372-5 8.816836+5 9.800000-5 8.781179+5 9.850000-5 8.719449+5 9.900000-5 8.662949+5 9.950000-5 8.606307+5 1.000000-4 8.554906+5 1.005000-4 8.507920+5 1.010000-4 8.465699+5 1.011579-4 8.453113+5 1.015000-4 8.425967+5 1.025000-4 8.355680+5 1.025700-4 8.351064+5 1.035142-4 8.294228+5 1.037900-4 8.279563+5 1.040000-4 8.269165+5 1.050000-4 8.228863+5 1.055000-4 8.210744+5 1.065000-4 8.179805+5 1.071519-4 8.162242+5 1.080000-4 8.149821+5 1.090000-4 8.137264+5 1.096478-4 8.131676+5 1.100000-4 8.129521+5 1.109175-4 8.127011+5 1.110000-4 8.127192+5 1.122018-4 8.135718+5 1.135011-4 8.146990+5 1.150000-4 8.168631+5 1.161449-4 8.187944+5 1.174898-4 8.217968+5 1.205000-4 8.294732+5 1.220000-4 8.334346+5 1.230269-4 8.364863+5 1.240000-4 8.397569+5 1.244515-4 8.412398+5 1.260000-4 8.460897+5 1.273503-4 8.502629+5 1.280000-4 8.524296+5 1.318257-4 8.641613+5 1.333521-4 8.686652+5 1.350000-4 8.736007+5 1.390000-4 8.843301+5 1.412538-4 8.895503+5 1.430000-4 8.935958+5 1.445440-4 8.965019+5 1.465000-4 9.002751+5 1.479108-4 9.027920+5 1.496236-4 9.053567+5 1.513561-4 9.077574+5 1.531087-4 9.098913+5 1.566751-4 9.132475+5 1.584893-4 9.146822+5 1.621810-4 9.158109+5 1.640590-4 9.161096+5 1.678804-4 9.158613+5 1.690000-4 9.156373+5 1.705000-4 9.152088+5 1.717908-4 9.145423+5 1.737801-4 9.135521+5 1.740000-4 9.134177+5 1.757924-4 9.120903+5 1.760000-4 9.119315+5 1.800000-4 9.080887+5 1.819701-4 9.060001+5 1.840772-4 9.036666+5 1.862087-4 9.009321+5 1.900000-4 8.957111+5 1.905461-4 8.949128+5 1.927525-4 8.912852+5 1.950000-4 8.875702+5 1.995262-4 8.797249+5 2.000000-4 8.788353+5 2.030000-4 8.731279+5 2.080000-4 8.633547+5 2.089296-4 8.614863+5 2.113489-4 8.561436+5 2.190000-4 8.391517+5 2.213095-4 8.338758+5 2.220000-4 8.322421+5 2.264644-4 8.216934+5 2.300000-4 8.131450+5 2.317395-4 8.087506+5 2.426610-4 7.815721+5 2.454709-4 7.742699+5 2.540973-4 7.518667+5 2.550000-4 7.495019+5 2.650000-4 7.236920+5 2.660725-4 7.210011+5 2.691535-4 7.130925+5 2.818383-4 6.804983+5 2.851018-4 6.725868+5 2.900000-4 6.604625+5 2.900500-4 6.603373+5 2.900500-4 7.748431+5 2.912000-4 7.722454+5 2.917427-4 7.713368+5 2.923000-4 7.703979+5 2.933000-4 7.694885+5 2.942000-4 7.694894+5 2.945300-4 7.698324+5 2.945300-4 8.503976+5 2.950000-4 8.507700+5 2.958000-4 8.523645+5 2.965000-4 8.550587+5 2.970000-4 8.576443+5 2.971000-4 8.582256+5 2.976000-4 8.617186+5 2.978000-4 8.633921+5 2.983000-4 8.679669+5 2.986200-4 8.714649+5 2.990000-4 8.759833+5 2.993000-4 8.801148+5 2.997000-4 8.860656+5 3.000000-4 8.911491+5 3.004200-4 8.988282+5 3.007000-4 9.045610+5 3.011000-4 9.133488+5 3.013000-4 9.182130+5 3.019952-4 9.365714+5 3.020000-4 9.367113+5 3.026000-4 9.553736+5 3.030000-4 9.689160+5 3.032000-4 9.762572+5 3.037000-4 9.958488+5 3.040000-4 1.008428+6 3.042000-4 1.017369+6 3.047000-4 1.041141+6 3.054921-4 1.082910+6 3.061000-4 1.118668+6 3.069000-4 1.171098+6 3.073000-4 1.199869+6 3.077000-4 1.229632+6 3.085000-4 1.294728+6 3.097000-4 1.403550+6 3.107000-4 1.503698+6 3.115000-4 1.589773+6 3.123000-4 1.680256+6 3.126079-4 1.716902+6 3.135000-4 1.824911+6 3.145000-4 1.950367+6 3.154000-4 2.066173+6 3.162278-4 2.173109+6 3.165000-4 2.209989+6 3.172000-4 2.300966+6 3.176000-4 2.353911+6 3.183000-4 2.445459+6 3.185000-4 2.471762+6 3.190000-4 2.535505+6 3.197000-4 2.625845+6 3.198895-4 2.649454+6 3.200000-4 2.663343+6 3.210000-4 2.788678+6 3.220000-4 2.907827+6 3.225000-4 2.967501+6 3.230000-4 3.024379+6 3.240000-4 3.137616+6 3.250000-4 3.243619+6 3.255000-4 3.295690+6 3.265000-4 3.395021+6 3.273407-4 3.476289+6 3.280000-4 3.536436+6 3.293400-4 3.655421+6 3.295000-4 3.668850+6 3.311311-4 3.800767+6 3.328000-4 3.921980+6 3.335000-4 3.970867+6 3.349654-4 4.065125+6 3.360000-4 4.128227+6 3.370000-4 4.183453+6 3.388442-4 4.280202+6 3.390000-4 4.287583+6 3.410000-4 4.376112+6 3.410500-4 4.378195+6 3.430000-4 4.449947+6 3.440000-4 4.484221+6 3.450000-4 4.513440+6 3.467369-4 4.559153+6 3.470000-4 4.566110+6 3.477000-4 4.581122+6 3.507519-4 4.636069+6 3.540000-4 4.669076+6 3.550000-4 4.676199+6 3.580000-4 4.685462+6 3.600000-4 4.685954+6 3.630781-4 4.677885+6 3.650100-4 4.668587+6 3.680000-4 4.647908+6 3.740000-4 4.598055+6 3.758374-4 4.580458+6 3.801894-4 4.534824+6 3.850000-4 4.485462+6 3.890451-4 4.444750+6 4.050000-4 4.265363+6 4.073803-4 4.235385+6 4.168694-4 4.119637+6 4.191700-4 4.090030+6 4.216965-4 4.056209+6 4.315191-4 3.928939+6 4.466836-4 3.725636+6 4.518559-4 3.660068+6 4.592900-4 3.562844+6 4.592900-4 3.902126+6 4.600000-4 3.895068+6 4.631000-4 3.864765+6 4.677351-4 3.816107+6 4.722000-4 3.770698+6 4.786301-4 3.704367+6 4.820600-4 3.669280+6 4.820600-4 3.779703+6 4.826000-4 3.779342+6 4.830000-4 3.778761+6 4.831000-4 3.778561+6 4.836500-4 3.776894+6 4.841724-4 3.774808+6 4.844000-4 3.773825+6 4.852000-4 3.769555+6 4.860000-4 3.764820+6 4.870000-4 3.758311+6 4.885000-4 3.747633+6 4.900000-4 3.736237+6 4.918000-4 3.721801+6 4.940000-4 3.703271+6 4.954502-4 3.690535+6 4.960000-4 3.685524+6 4.980000-4 3.666667+6 5.000000-4 3.647424+6 5.011872-4 3.635708+6 5.030000-4 3.617486+6 5.060000-4 3.586795+6 5.080000-4 3.566088+6 5.100000-4 3.544230+6 5.128614-4 3.512758+6 5.150000-4 3.489069+6 5.248075-4 3.383160+6 5.308844-4 3.316806+6 5.432503-4 3.184612+6 5.580000-4 3.036930+6 5.623413-4 2.994800+6 5.688529-4 2.931600+6 5.720000-4 2.901768+6 5.740300-4 2.882612+6 5.740300-4 3.008856+6 5.821032-4 2.932846+6 5.900000-4 2.861411+6 6.100000-4 2.689589+6 6.165950-4 2.635378+6 6.309573-4 2.523106+6 6.350000-4 2.492883+6 6.456542-4 2.414813+6 6.531306-4 2.361878+6 6.550000-4 2.348614+6 6.606934-4 2.308800+6 6.760830-4 2.205970+6 6.850000-4 2.148761+6 6.918310-4 2.106253+6 7.000000-4 2.056986+6 7.079458-4 2.009952+6 7.300000-4 1.887857+6 7.328245-4 1.873055+6 7.413102-4 1.828768+6 7.673615-4 1.702410+6 7.852356-4 1.622317+6 7.943282-4 1.583637+6 8.035261-4 1.545935+6 8.128305-4 1.508523+6 8.222426-4 1.471917+6 8.317638-4 1.436250+6 8.511380-4 1.366650+6 8.709636-4 1.299838+6 9.000000-4 1.209885+6 9.015711-4 1.205289+6 9.120108-4 1.175274+6 9.225714-4 1.145763+6 9.660509-4 1.034680+6 9.700000-4 1.025409+6 9.885531-4 9.832124+5 1.000000-3 9.583367+5 1.011579-3 9.338586+5 1.023293-3 9.100381+5 1.030000-3 8.967080+5 1.059254-3 8.418396+5 1.071519-3 8.201721+5 1.096478-3 7.783582+5 1.109175-3 7.582992+5 1.110000-3 7.570119+5 1.150000-3 6.977971+5 1.161449-3 6.820546+5 1.188502-3 6.468775+5 1.190000-3 6.450092+5 1.216186-3 6.134431+5 1.230269-3 5.973076+5 1.273503-3 5.511610+5 1.288250-3 5.365516+5 1.300000-3 5.253157+5 1.303167-3 5.223448+5 1.348963-3 4.818147+5 1.350000-3 4.809516+5 1.364583-3 4.689548+5 1.380384-3 4.563499+5 1.400000-3 4.413905+5 1.412538-3 4.321684+5 1.450000-3 4.062050+5 1.462177-3 3.982591+5 1.479108-3 3.875344+5 1.496236-3 3.770319+5 1.513561-3 3.668269+5 1.531087-3 3.568419+5 1.603245-3 3.195718+5 1.621810-3 3.108742+5 1.650000-3 2.983166+5 1.659587-3 2.941847+5 1.678804-3 2.861296+5 1.698244-3 2.782440+5 1.778279-3 2.488208+5 1.800000-3 2.416233+5 1.819701-3 2.353291+5 1.840772-3 2.288109+5 1.862087-3 2.224810+5 1.883649-3 2.163092+5 1.905461-3 2.102829+5 2.000000-3 1.867467+5 2.018366-3 1.826102+5 2.041738-3 1.774992+5 2.065380-3 1.725363+5 2.089296-3 1.677195+5 2.113489-3 1.630012+5 2.137962-3 1.584215+5 2.187762-3 1.496503+5 2.238721-3 1.413694+5 2.290868-3 1.334831+5 2.300000-3 1.321674+5 2.344229-3 1.260302+5 2.371374-3 1.224477+5 2.398833-3 1.189717+5 2.500000-3 1.073196+5 2.511886-3 1.060505+5 2.540973-3 1.030350+5 2.570396-3 1.000990+5 2.600160-3 9.722842+4 2.660725-3 9.174195+4 2.691535-3 8.911007+4 2.800000-3 8.065733+4 2.818383-3 7.933029+4 2.838700-3 7.789961+4 2.838700-3 2.739296+5 2.842900-3 2.728180+5 2.843300-3 2.734944+5 2.851018-3 2.715063+5 2.884032-3 2.632156+5 2.971800-3 2.427929+5 2.971800-3 3.336589+5 2.990000-3 3.287395+5 3.000000-3 3.262978+5 3.015000-3 3.226823+5 3.019952-3 3.214533+5 3.054921-3 3.129569+5 3.070000-3 3.092301+5 3.090295-3 3.039718+5 3.120000-3 2.964976+5 3.126079-3 2.950643+5 3.180000-3 2.827488+5 3.198895-3 2.784940+5 3.203900-3 2.773810+5 3.203900-3 3.183028+5 3.235937-3 3.106860+5 3.273407-3 3.021013+5 3.311311-3 2.937601+5 3.349654-3 2.854713+5 3.388442-3 2.774189+5 3.450000-3 2.652906+5 3.467369-3 2.619963+5 3.507519-3 2.545186+5 3.548134-3 2.472500+5 3.589219-3 2.401907+5 3.630781-3 2.332678+5 3.672823-3 2.265472+5 3.715352-3 2.200253+5 3.758374-3 2.136934+5 3.845918-3 2.015179+5 3.935501-3 1.900547+5 4.000000-3 1.822995+5 4.027170-3 1.791664+5 4.073803-3 1.739605+5 4.120975-3 1.689082+5 4.168694-3 1.640057+5 4.216965-3 1.592442+5 4.315191-3 1.501291+5 4.365158-3 1.457733+5 4.415704-3 1.415472+5 4.466836-3 1.374409+5 4.518559-3 1.334251+5 4.623810-3 1.257456+5 4.677351-3 1.220633+5 4.731513-3 1.184914+5 4.897788-3 1.084035+5 4.900000-3 1.082776+5 4.954502-3 1.052092+5 5.011872-3 1.021068+5 5.069907-3 9.908186+4 5.128614-3 9.614720+4 5.188000-3 9.330210+4 5.248075-3 9.054301+4 5.308844-3 8.784758+4 5.370318-3 8.523386+4 5.559043-3 7.785945+4 5.688529-3 7.330377+4 5.754399-3 7.112212+4 5.800000-3 6.966392+4 5.821032-3 6.899683+4 5.888437-3 6.691831+4 6.000000-3 6.366619+4 6.025596-3 6.294614+4 6.309573-3 5.566954+4 6.382635-3 5.398695+4 6.531306-3 5.077506+4 6.606934-3 4.924363+4 6.683439-3 4.775949+4 6.760830-3 4.632142+4 6.800000-3 4.561601+4 6.839116-3 4.492131+4 6.918310-3 4.355939+4 7.161434-3 3.969994+4 7.244360-3 3.849138+4 7.413102-3 3.617590+4 7.498942-3 3.507238+4 7.500000-3 3.505907+4 7.585776-3 3.400316+4 7.673615-3 3.296727+4 7.762471-3 3.195303+4 7.943282-3 3.001959+4 8.035261-3 2.909765+4 8.128305-3 2.820172+4 8.222426-3 2.733306+4 8.413951-3 2.567642+4 8.609938-3 2.412302+4 8.709636-3 2.338274+4 8.810489-3 2.266076+4 9.120108-3 2.062869+4 9.225714-3 1.998893+4 9.332543-3 1.936881+4 9.549926-3 1.818555+4 9.772372-3 1.707171+4 1.000000-2 1.602801+4 1.035142-2 1.457706+4 1.047129-2 1.412391+4 1.059254-2 1.368476+4 1.083927-2 1.284764+4 1.096478-2 1.244652+4 1.122018-2 1.168176+4 1.148154-2 1.096039+4 1.150000-2 1.091179+4 1.188502-2 9.959433+3 1.200000-2 9.697433+3 1.216186-2 9.344215+3 1.258925-2 8.492794+3 1.288250-2 7.967386+3 1.318257-2 7.474894+3 1.333521-2 7.238690+3 1.364583-2 6.788941+3 1.380384-2 6.574269+3 1.396368-2 6.366377+3 1.428894-2 5.970418+3 1.445440-2 5.781980+3 1.496236-2 5.250252+3 1.513561-2 5.084418+3 1.531087-2 4.923748+3 1.548817-2 4.767228+3 1.566751-2 4.615813+3 1.584893-2 4.469306+3 1.603245-2 4.327118+3 1.659587-2 3.927595+3 1.678804-2 3.803009+3 1.737801-2 3.451535+3 1.757924-2 3.341209+3 1.778279-2 3.234489+3 1.798871-2 3.131129+3 1.819701-2 3.031143+3 1.840772-2 2.934350+3 1.927525-2 2.576938+3 1.972423-2 2.415307+3 2.000000-2 2.322528+3 2.041738-2 2.190244+3 2.065380-2 2.119880+3 2.089296-2 2.051821+3 2.113489-2 1.985909+3 2.137962-2 1.922120+3 2.162719-2 1.860403+3 2.208700-2 1.752608+3 2.208700-2 1.144220+4 2.235000-2 1.113595+4 2.264644-2 1.078275+4 2.265000-2 1.077861+4 2.300000-2 1.032780+4 2.317395-2 1.013441+4 2.344229-2 9.845541+3 2.371374-2 9.564798+3 2.398833-2 9.276835+3 2.426610-2 8.997582+3 2.454709-2 8.726773+3 2.511886-2 8.209318+3 2.550000-2 7.887658+3 2.570396-2 7.725192+3 2.630268-2 7.274167+3 2.691535-2 6.849610+3 2.722701-2 6.646502+3 2.754229-2 6.449434+3 2.786121-2 6.258242+3 2.818383-2 6.072662+3 2.851018-2 5.892617+3 2.884032-2 5.713260+3 2.985383-2 5.207278+3 3.019952-2 5.048813+3 3.090295-2 4.746262+3 3.150000-2 4.508667+3 3.198895-2 4.325897+3 3.273407-2 4.066442+3 3.311311-2 3.942632+3 3.349654-2 3.822562+3 3.388442-2 3.703833+3 3.589219-2 3.163302+3 3.672823-2 2.969927+3 3.758374-2 2.788193+3 3.801894-2 2.701549+3 3.845918-2 2.617591+3 3.890451-2 2.536252+3 3.935501-2 2.457446+3 3.981072-2 2.381097+3 4.000000-2 2.350338+3 4.027170-2 2.307119+3 4.073803-2 2.235417+3 4.265795-2 1.970266+3 4.315191-2 1.907913+3 4.365158-2 1.847467+3 4.466836-2 1.732268+3 4.731513-2 1.474787+3 4.786301-2 1.428081+3 4.841724-2 1.382857+3 4.897788-2 1.339064+3 4.954502-2 1.296660+3 5.011872-2 1.255601+3 5.128614-2 1.177334+3 5.248075-2 1.103871+3 5.308844-2 1.068880+3 5.495409-2 9.689778+2 5.623413-2 9.076290+2 5.821032-2 8.228083+2 6.095369-2 7.219366+2 6.237348-2 6.761959+2 6.309573-2 6.544253+2 6.382635-2 6.333560+2 6.531306-2 5.932343+2 6.606934-2 5.741371+2 6.760830-2 5.373317+2 7.079458-2 4.706447+2 7.244360-2 4.404772+2 7.328245-2 4.261278+2 7.585776-2 3.857846+2 7.673615-2 3.732055+2 7.852356-2 3.492653+2 8.222426-2 3.058994+2 8.810489-2 2.502424+2 9.015711-2 2.340419+2 9.120108-2 2.263320+2 9.225714-2 2.188764+2 9.332543-2 2.116664+2 1.000000-1 1.731342+2 1.047129-1 1.514272+2 1.059254-1 1.464408+2 1.096478-1 1.323668+2 1.135011-1 1.196465+2 1.148154-1 1.156814+2 1.188502-1 1.045597+2 1.202264-1 1.010955+2 1.244515-1 9.137679+1 1.258925-1 8.834986+1 1.273503-1 8.542310+1 1.288250-1 8.259336+1 1.318257-1 7.721243+1 1.364583-1 6.979231+1 1.412538-1 6.308541+1 1.428894-1 6.099663+1 1.445440-1 5.897701+1 1.479108-1 5.513642+1 1.496236-1 5.331092+1 1.500000-1 5.292066+1 1.531088-1 4.983948+1 1.566751-1 4.659438+1 1.584893-1 4.505199+1 1.640590-1 4.072499+1 1.659587-1 3.937714+1 1.678804-1 3.807393+1 1.698244-1 3.681384+1 1.717908-1 3.559572+1 1.757924-1 3.327904+1 1.798871-1 3.111328+1 1.840772-1 2.908858+1 1.862087-1 2.812622+1 1.883649-1 2.719580+1 1.927525-1 2.542632+1 1.949845-1 2.459276+1 1.972423-1 2.378667+1 2.041738-1 2.152361+1 2.065380-1 2.081818+1 2.113489-1 1.947598+1 2.162719-1 1.822035+1 2.187762-1 1.762324+1 2.213095-1 1.704622+1 2.264644-1 1.594853+1 2.290868-1 1.542650+1 2.317395-1 1.492158+1 2.344229-1 1.443330+1 2.371374-1 1.396100+1 2.398833-1 1.351014+1 2.426610-1 1.307384+1 2.483133-1 1.224306+1 2.511886-1 1.184775+1 2.600160-1 1.073692+1 2.630268-1 1.039032+1 2.660725-1 1.005536+1 2.691535-1 9.731207+0 2.722701-1 9.417514+0 2.754229-1 9.113940+0 2.786121-1 8.820205+0 2.800000-1 8.696401+0 2.818383-1 8.538465+0 2.951209-1 7.505419+0 2.985383-1 7.267323+0 3.000000-1 7.168611+0 3.054921-1 6.813569+0 3.090295-1 6.597434+0 3.126079-1 6.388489+0 3.198895-1 5.990310+0 3.235937-1 5.800637+0 3.273407-1 5.620085+0 3.311311-1 5.445215+0 3.349654-1 5.275787+0 3.427678-1 4.952591+0 3.467369-1 4.798498+0 3.548134-1 4.504598+0 3.589219-1 4.364719+0 3.630781-1 4.229180+0 3.672823-1 4.097874+0 3.758374-1 3.851904+0 3.801894-1 3.734559+0 3.845918-1 3.620807+0 3.935501-1 3.403595+0 4.000000-1 3.258140+0 4.027170-1 3.199419+0 4.120975-1 3.007888+0 4.168694-1 2.918248+0 4.265795-1 2.746952+0 4.315191-1 2.665145+0 4.365158-1 2.585775+0 4.415705-1 2.508770+0 4.466836-1 2.434061+0 4.518559-1 2.361587+0 4.570882-1 2.291421+0 4.623810-1 2.224807+0 4.677351-1 2.160131+0 4.731513-1 2.097339+0 4.786301-1 2.036375+0 4.841724-1 1.977208+0 4.897788-1 1.919761+0 4.954502-1 1.863983+0 5.011872-1 1.809834+0 5.069907-1 1.757267+0 5.128614-1 1.707494+0 5.188000-1 1.659132+0 5.248075-1 1.612145+0 5.308844-1 1.566491+0 5.370318-1 1.522147+0 5.432503-1 1.479060+0 5.495409-1 1.437192+0 5.623413-1 1.357004+0 5.688529-1 1.319603+0 5.754399-1 1.283234+0 5.821032-1 1.247871+0 5.888437-1 1.213483+0 5.956621-1 1.180060+0 6.095369-1 1.115960+0 6.165950-1 1.085232+0 6.237348-1 1.056124+0 6.309573-1 1.027876+0 6.382635-1 1.000384+0 6.456542-1 9.736301-1 6.531306-1 9.475913-1 6.683439-1 8.976194-1 6.760830-1 8.736337-1 6.839117-1 8.502898-1 6.918310-1 8.282683-1 6.998420-1 8.068175-1 7.079458-1 7.859222-1 7.161434-1 7.655703-1 7.244360-1 7.457490-1 7.328245-1 7.264514-1 7.413102-1 7.076557-1 7.498942-1 6.893470-1 7.585776-1 6.715124-1 7.673615-1 6.546699-1 7.852356-1 6.222419-1 7.943282-1 6.066368-1 8.035261-1 5.914231-1 8.128305-1 5.765981-1 8.222427-1 5.621474-1 8.317638-1 5.480591-1 8.413951-1 5.343263-1 8.511380-1 5.213646-1 8.609938-1 5.087173-1 8.709636-1 4.963776-1 8.810489-1 4.843385-1 8.912509-1 4.726014-1 9.015711-1 4.611508-1 9.120108-1 4.499782-1 9.225714-1 4.390764-1 9.440609-1 4.187152-1 9.549926-1 4.089317-1 9.660509-1 3.993801-1 9.772372-1 3.900585-1 9.885531-1 3.809550-1 1.000000+0 3.720639-1 1.011579+0 3.636098-1 1.023293+0 3.553507-1 1.035142+0 3.472986-1 1.047129+0 3.394288-1 1.059254+0 3.317382-1 1.071519+0 3.242221-1 1.083927+0 3.168762-1 1.096478+0 3.096972-1 1.109175+0 3.026817-1 1.122018+0 2.958304-1 1.135011+0 2.891338-1 1.148154+0 2.825893-1 1.161449+0 2.764281-1 1.174898+0 2.704012-1 1.188600+0 2.644656-1 1.202264+0 2.587425-1 1.230269+0 2.475966-1 1.244515+0 2.422053-1 1.250000+0 2.401823-1 1.258925+0 2.370194-1 1.273503+0 2.319892-1 1.288250+0 2.270657-1 1.303167+0 2.222476-1 1.318257+0 2.175317-1 1.333521+0 2.129161-1 1.348963+0 2.083990-1 1.364583+0 2.039780-1 1.380384+0 1.996508-1 1.396368+0 1.954159-1 1.412538+0 1.912727-1 1.428894+0 1.872177-1 1.445440+0 1.833665-1 1.500000+0 1.715032-1 1.513561+0 1.687397-1 1.531087+0 1.652694-1 1.548817+0 1.618702-1 1.566751+0 1.585416-1 1.584893+0 1.552834-1 1.603245+0 1.521896-1 1.659587+0 1.433023-1 1.698244+0 1.376677-1 1.717908+0 1.349351-1 1.737801+0 1.322568-1 1.757924+0 1.296335-1 1.778279+0 1.271511-1 1.798871+0 1.247254-1 1.840772+0 1.200121-1 1.883649+0 1.154769-1 1.905461+0 1.132748-1 1.927525+0 1.111150-1 1.949845+0 1.089980-1 1.972423+0 1.070013-1 1.995262+0 1.050491-1 2.018366+0 1.031324-1 2.089296+0 9.758986-2 2.113489+0 9.580984-2 2.137962+0 9.406229-2 2.187762+0 9.066251-2 2.213095+0 8.900901-2 2.238721+0 8.738649-2 2.264644+0 8.579357-2 2.290868+0 8.427131-2 2.317395+0 8.278036-2 2.371374+0 7.987712-2 2.426610+0 7.707574-2 2.454709+0 7.571249-2 2.483133+0 7.437337-2 2.511886+0 7.305806-2 2.540973+0 7.176597-2 2.570396+0 7.049677-2 2.600160+0 6.925067-2 2.630268+0 6.802665-2 2.660725+0 6.685910-2 2.691535+0 6.571527-2 2.754229+0 6.348600-2 2.818383+0 6.133238-2 2.851018+0 6.028346-2 2.884032+0 5.925255-2 2.917427+0 5.823932-2 2.951209+0 5.724341-2 3.000000+0 5.585522-2 3.019952+0 5.530366-2 3.054921+0 5.439281-2 3.126079+0 5.262279-2 3.162278+0 5.175948-2 3.198895+0 5.091065-2 3.273407+0 4.925465-2 3.311311+0 4.844698-2 3.388442+0 4.687112-2 3.467369+0 4.534741-2 3.507519+0 4.460426-2 3.548134+0 4.389612-2 3.630781+0 4.251800-2 3.672823+0 4.184527-2 3.715352+0 4.118339-2 3.801894+0 3.989099-2 3.845918+0 3.926008-2 3.935501+0 3.802804-2 4.027170+0 3.683534-2 4.120975+0 3.568006-2 4.168694+0 3.513276-2 4.265795+0 3.406663-2 4.315191+0 3.354575-2 4.365158+0 3.303301-2 4.466836+0 3.203100-2 4.518559+0 3.154146-2 4.623810+0 3.058470-2 4.731513+0 2.965748-2 4.841724+0 2.875840-2 4.897788+0 2.833233-2 5.011872+0 2.750170-2 5.069907+0 2.709557-2 5.128614+0 2.669555-2 5.248075+0 2.591323-2 5.308844+0 2.553072-2 5.432503+0 2.478254-2 5.623413+0 2.370175-2 5.754399+0 2.300756-2 5.821032+0 2.267714-2 6.025596+0 2.171678-2 6.095369+0 2.140579-2 6.165950+0 2.109934-2 6.382635+0 2.020613-2 6.456542+0 1.991688-2 6.606934+0 1.935075-2 6.839116+0 1.853200-2 7.000000+0 1.800044-2 7.079458+0 1.775530-2 7.244360+0 1.726707-2 7.328245+0 1.702801-2 7.413102+0 1.679234-2 7.673615+0 1.610476-2 7.762471+0 1.588189-2 8.000000+0 1.531290-2 8.317638+0 1.460826-2 8.413951+0 1.440620-2 8.609938+0 1.401042-2 8.709636+0 1.382142-2 8.810489+0 1.363498-2 9.015711+0 1.327064-2 9.120108+0 1.309213-2 9.225714+0 1.291608-2 9.440609+0 1.257107-2 9.660509+0 1.223529-2 9.885531+0 1.190847-2 1.035142+1 1.128109-2 1.047129+1 1.112947-2 1.059254+1 1.097990-2 1.083927+1 1.069364-2 1.100000+1 1.051456-2 1.122018+1 1.027876-2 1.148154+1 1.001143-2 1.161449+1 9.880423-3 1.202264+1 9.497630-3 1.230269+1 9.250700-3 1.258925+1 9.010201-3 1.318257+1 8.547985-3 1.333521+1 8.436193-3 1.348963+1 8.325854-3 1.380384+1 8.114447-3 1.400000+1 7.987557-3 1.428894+1 7.807788-3 1.479108+1 7.513007-3 1.500000+1 7.396526-3 1.548817+1 7.137302-3 1.603245+1 6.867919-3 1.640590+1 6.693997-3 1.717908+1 6.359401-3 1.737801+1 6.278395-3 1.757924+1 6.198425-3 1.778279+1 6.119477-3 1.819701+1 5.967807-3 1.840772+1 5.893391-3 1.883649+1 5.747646-3 1.949845+1 5.535759-3 2.000000+1 5.384985-3 2.065380+1 5.199914-3 2.162719+1 4.945974-3 2.213095+1 4.823695-3 2.317395+1 4.588218-3 2.344229+1 4.531167-3 2.400000+1 4.416852-3 2.426610+1 4.364240-3 2.483133+1 4.258531-3 2.511886+1 4.206643-3 2.570396+1 4.104959-3 2.660725+1 3.957026-3 2.691535+1 3.908917-3 2.818383+1 3.722274-3 3.019952+1 3.458885-3 3.126079+1 3.334265-3 3.349654+1 3.098405-3 3.388442+1 3.060750-3 3.507519+1 2.950510-3 3.548134+1 2.914653-3 3.630781+1 2.845402-3 3.672823+1 2.811397-3 3.758374+1 2.744716-3 3.845918+1 2.679618-3 3.890451+1 2.647654-3 3.935501+1 2.616074-3 4.120975+1 2.493477-3 4.466836+1 2.292594-3 4.623810+1 2.211535-3 5.188000+1 1.961529-3 5.308844+1 1.915027-3 5.688529+1 1.782033-3 5.821032+1 1.739787-3 6.095369+1 1.659488-3 6.165950+1 1.640000-3 6.309573+1 1.601769-3 6.456542+1 1.564429-3 6.531306+1 1.546089-3 6.683439+1 1.510055-3 6.918310+1 1.457572-3 7.079458+1 1.423601-3 7.852356+1 1.280298-3 8.222427+1 1.221327-3 1.000000+2 9.995351-4 1.071519+2 9.312799-4 1.188502+2 8.384028-4 1.202264+2 8.286730-4 1.230269+2 8.095684-4 1.258925+2 7.909052-4 1.273503+2 7.817354-4 1.288250+2 7.726722-4 1.303167+2 7.637150-4 1.348963+2 7.374613-4 1.380384+2 7.204623-4 1.513561+2 6.563045-4 1.584893+2 6.264010-4 1.995262+2 4.961219-4 2.137962+2 4.626038-4 2.371374+2 4.167642-4 2.398833+2 4.119600-4 2.454709+2 4.025230-4 2.511886+2 3.933023-4 2.540973+2 3.887714-4 2.570396+2 3.842929-4 2.600160+2 3.798661-4 2.691535+2 3.668895-4 2.754229+2 3.584856-4 3.019952+2 3.267546-4 3.162278+2 3.119584-4 3.981072+2 2.474412-4 4.265795+2 2.308259-4 9.440609+2 1.040757-4 9.549926+2 1.028812-4 9.772372+2 1.005339-4 1.000000+3 9.824011-5 1.011579+3 9.711299-5 1.023293+3 9.599873-5 1.035142+3 9.489734-5 1.071519+3 9.166837-5 1.096478+3 8.957698-5 1.202264+3 8.167827-5 1.258925+3 7.799407-5 1.584893+3 6.192085-5 1.698244+3 5.777892-5 5.956621+4 1.645556-6 6.025596+4 1.626714-6 6.165950+4 1.589679-6 6.309573+4 1.553487-6 6.382635+4 1.535700-6 6.456542+4 1.518118-6 6.531306+4 1.500737-6 1.000000+5 9.801040-7 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.380000-6 6.380000-6 8.790000-6 6.380000-6 8.790000-6 8.697019-6 9.150000-6 8.721531-6 9.150000-6 8.881111-6 1.127000-5 8.919168-6 5.066000-5 8.931865-6 5.066000-5 1.094432-5 5.270000-5 1.111444-5 5.419000-5 1.120019-5 5.419000-5 1.202034-5 5.700000-5 1.225609-5 6.580000-5 1.285407-5 7.000000-5 1.319222-5 7.500000-5 1.367128-5 8.214000-5 1.446687-5 8.214000-5 1.588075-5 8.650000-5 1.667153-5 9.000000-5 1.720241-5 9.350000-5 1.760632-5 9.680000-5 1.785727-5 1.000000-4 1.798700-5 1.040000-4 1.801608-5 1.090000-4 1.790205-5 1.174898-4 1.751252-5 1.318257-4 1.677158-5 1.430000-4 1.630102-5 1.566751-4 1.586938-5 1.705000-4 1.555278-5 1.862087-4 1.529928-5 2.089296-4 1.506934-5 2.317395-4 1.494426-5 2.691535-4 1.486623-5 2.900500-4 1.486248-5 2.900500-4 1.690014-5 2.933000-4 1.696351-5 2.945300-4 1.702279-5 2.945300-4 1.812386-5 2.965000-4 1.825832-5 2.983000-4 1.848131-5 3.000000-4 1.880802-5 3.013000-4 1.914377-5 3.030000-4 1.969937-5 3.047000-4 2.037512-5 3.097000-4 2.262843-5 3.123000-4 2.366932-5 3.145000-4 2.439436-5 3.172000-4 2.507890-5 3.200000-4 2.559670-5 3.230000-4 2.599273-5 3.273407-4 2.637688-5 3.335000-4 2.670641-5 3.430000-4 2.697775-5 3.580000-4 2.715111-5 4.168694-4 2.728691-5 4.592900-4 2.730230-5 4.592900-4 2.898680-5 4.820600-4 2.931462-5 4.820600-4 2.983728-5 4.885000-4 3.008521-5 5.030000-4 3.035644-5 5.432503-4 3.066204-5 5.740300-4 3.085062-5 5.740300-4 3.215863-5 8.035261-4 3.381249-5 1.030000-3 3.514802-5 1.303167-3 3.645107-5 1.650000-3 3.778707-5 2.065380-3 3.905434-5 2.570396-3 4.027393-5 2.838700-3 4.081543-5 2.838700-3 5.956298-5 2.971800-3 5.960177-5 2.971800-3 6.237226-5 3.203900-3 6.250514-5 3.203900-3 6.620605-5 4.466836-3 6.759523-5 6.309573-3 6.914260-5 8.810489-3 7.074965-5 1.258925-2 7.252697-5 1.737801-2 7.415637-5 2.208700-2 7.532986-5 2.208700-2 7.889344-5 4.466836-2 7.938440-5 1.202264-1 7.975068-5 6.095369-1 7.995658-5 1.000000+5 7.997516-5 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.380000-6 0.0 5.066000-5 0.0 5.066000-5 5.58474-11 5.120000-5 5.73562-11 5.188000-5 5.89203-11 5.270000-5 6.05886-11 5.419000-5 6.29855-11 5.419000-5 9.53396-11 5.505000-5 9.81425-11 5.630000-5 1.01616-10 5.780000-5 1.05217-10 6.400000-5 1.18522-10 6.760830-5 1.27032-10 7.000000-5 1.33316-10 7.244360-5 1.40333-10 7.500000-5 1.48242-10 7.943282-5 1.63234-10 8.214000-5 1.72658-10 8.214000-5 1.87976-10 8.450000-5 1.97171-10 8.650000-5 2.04307-10 8.912509-5 2.12417-10 9.150000-5 2.18306-10 9.400000-5 2.22919-10 9.660509-5 2.25904-10 9.900000-5 2.27149-10 1.015000-4 2.27102-10 1.050000-4 2.25135-10 1.090000-4 2.21017-10 1.161449-4 2.11174-10 1.260000-4 1.97142-10 1.318257-4 1.89715-10 1.390000-4 1.81943-10 1.445440-4 1.76919-10 1.513561-4 1.71661-10 1.584893-4 1.67129-10 1.640590-4 1.64100-10 1.740000-4 1.59803-10 1.862087-4 1.55825-10 2.000000-4 1.52711-10 2.113489-4 1.50925-10 2.264644-4 1.49448-10 2.426610-4 1.48521-10 2.550000-4 1.48211-10 2.851018-4 1.48450-10 2.900500-4 1.48655-10 2.900500-4 1.65459-10 2.933000-4 1.66047-10 2.945300-4 1.66559-10 2.945300-4 8.359377-9 2.958000-4 8.303913-9 2.971000-4 8.284598-9 2.978000-4 8.289472-9 2.986200-4 8.320275-9 2.993000-4 8.369578-9 3.000000-4 8.445718-9 3.007000-4 8.550012-9 3.013000-4 8.664122-9 3.020000-4 8.830916-9 3.026000-4 9.001239-9 3.032000-4 9.203001-9 3.040000-4 9.522852-9 3.047000-4 9.837290-9 3.054921-4 1.025197-8 3.061000-4 1.060766-8 3.069000-4 1.112093-8 3.077000-4 1.168378-8 3.085000-4 1.228797-8 3.097000-4 1.328288-8 3.107000-4 1.414369-8 3.115000-4 1.486031-8 3.154000-4 1.849166-8 3.172000-4 2.008620-8 3.190000-4 2.153774-8 3.200000-4 2.227326-8 3.220000-4 2.359518-8 3.230000-4 2.417388-8 3.250000-4 2.518606-8 3.265000-4 2.583695-8 3.280000-4 2.639517-8 3.295000-4 2.687658-8 3.328000-4 2.776485-8 3.349654-4 2.823434-8 3.370000-4 2.861121-8 3.430000-4 2.947786-8 3.477000-4 2.997034-8 3.540000-4 3.043527-8 3.580000-4 3.064293-8 3.680000-4 3.094511-8 3.890451-4 3.116406-8 4.315191-4 3.142888-8 4.592900-4 3.148483-8 4.592900-4 3.548209-8 4.722000-4 3.597870-8 4.820600-4 3.627383-8 4.820600-4 3.895971-8 4.844000-4 3.947447-8 4.885000-4 4.006176-8 4.954502-4 4.071060-8 5.030000-4 4.113176-8 5.150000-4 4.150947-8 5.740300-4 4.275445-8 5.740300-4 4.620402-8 7.079458-4 4.932658-8 8.222426-4 5.174860-8 9.225714-4 5.363645-8 1.071519-3 5.617156-8 1.288250-3 5.926195-8 1.496236-3 6.177538-8 1.698244-3 6.391643-8 1.905461-3 6.583209-8 2.238721-3 6.848337-8 2.600160-3 7.085769-8 2.838700-3 7.221940-8 2.838700-3 7.966924-5 2.842900-3 7.965905-5 2.843300-3 7.974854-5 2.971800-3 7.953481-5 2.971800-3 9.331622-5 3.090295-3 9.352765-5 3.203900-3 9.356054-5 3.203900-3 9.623843-5 4.623810-3 9.660817-5 8.413951-3 9.656174-5 2.208700-2 9.582762-5 2.208700-2 1.329635-2 2.550000-2 1.338226-2 3.311311-2 1.350419-2 4.897788-2 1.361545-2 7.852356-2 1.369275-2 1.717908-1 1.374135-2 1.531087+0 1.377564-2 1.000000+5 1.377631-2 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.380000-6 0.0 8.790000-6 2.410000-6 8.790000-6 9.298081-8 8.850000-6 1.484176-7 9.150000-6 4.284690-7 9.150000-6 2.688889-7 9.350000-6 4.619431-7 9.850000-6 9.487479-7 1.060000-5 1.686758-6 1.230269-5 3.378887-6 5.066000-5 4.172814-5 5.066000-5 3.971562-5 5.419000-5 4.298974-5 5.419000-5 4.216956-5 7.161434-5 5.827675-5 8.214000-5 6.767296-5 8.214000-5 6.625906-5 9.000000-5 7.279737-5 9.680000-5 7.894251-5 1.050000-4 8.699573-5 1.280000-4 1.110420-4 1.621810-4 1.464508-4 2.317395-4 2.167951-4 2.900500-4 2.751874-4 2.900500-4 2.731497-4 2.945300-4 2.775070-4 2.945300-4 2.763978-4 3.020000-4 2.826357-4 3.154000-4 2.907352-4 3.273407-4 3.009377-4 3.680000-4 3.407730-4 4.592900-4 4.319562-4 4.592900-4 4.302677-4 4.820600-4 4.527091-4 4.820600-4 4.521838-4 5.740300-4 5.431366-4 5.740300-4 5.418252-4 2.238721-3 2.199145-3 2.838700-3 2.797812-3 2.838700-3 2.699468-3 2.971800-3 2.832663-3 2.971800-3 2.816112-3 3.203900-3 3.047834-3 3.203900-3 3.041456-3 2.208700-2 2.191584-2 2.208700-2 8.711757-3 2.265000-2 9.247315-3 3.150000-2 1.793765-2 5.623413-2 4.251030-2 1.000000+5 9.999998+4 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 2.208700-2 9.689589+3 2.235000-2 9.441158+3 2.265000-2 9.146600+3 2.300000-2 8.765060+3 2.371374-2 8.132198+3 2.550000-2 6.722980+3 2.851018-2 5.045781+3 3.349654-2 3.289231+3 4.265795-2 1.704851+3 5.308844-2 9.283759+2 6.606934-2 5.000366+2 8.222426-2 2.669429+2 1.059254-1 1.279955+2 1.927525-1 2.225883+1 2.371374-1 1.222536+1 2.800000-1 7.616725+0 3.235937-1 5.081128+0 3.672823-1 3.589960+0 4.120975-1 2.635391+0 4.570882-1 2.007938+0 5.069907-1 1.540174+0 5.623413-1 1.189551+0 6.165950-1 9.514357-1 6.839117-1 7.456112-1 7.585776-1 5.888971-1 8.413951-1 4.686537-1 9.225714-1 3.851935-1 1.000000+0 3.264879-1 1.148154+0 2.480293-1 1.250000+0 2.108054-1 1.428894+0 1.643057-1 1.584893+0 1.362694-1 1.757924+0 1.137607-1 1.949845+0 9.565257-2 2.264644+0 7.529063-2 2.630268+0 5.969907-2 3.019952+0 4.853349-2 3.507519+0 3.914426-2 4.120975+0 3.131248-2 4.841724+0 2.523813-2 5.754399+0 2.019129-2 7.000000+0 1.579700-2 8.609938+0 1.229532-2 1.059254+1 9.635590-3 1.348963+1 7.306532-3 1.778279+1 5.370323-3 2.426610+1 3.829946-3 3.548134+1 2.557863-3 5.821032+1 1.526786-3 1.071519+2 8.172541-4 2.137962+2 4.059774-4 4.265795+2 2.025567-4 1.698244+3 5.070539-5 1.000000+5 8.601700-7 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 2.208700-2 7.953800-5 1.000000+5 7.953800-5 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.208700-2 1.568400-2 1.000000+5 1.568400-2 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.208700-2 6.323462-3 1.000000+5 9.999998+4 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 3.203900-3 4.092180+4 3.450000-3 3.640880+4 3.935501-3 2.936360+4 4.216965-3 2.600247+4 5.248075-3 1.760414+4 5.688529-3 1.512101+4 6.800000-3 1.073018+4 7.673615-3 8.417647+3 8.709636-3 6.497271+3 1.000000-2 4.851420+3 1.122018-2 3.784512+3 1.318257-2 2.647648+3 1.531087-2 1.883099+3 1.737801-2 1.402469+3 2.000000-2 1.004654+3 2.317395-2 7.029872+2 2.691535-2 4.854684+2 3.150000-2 3.264580+2 3.672823-2 2.200156+2 4.315191-2 1.443295+2 5.128614-2 9.115150+1 6.095369-2 5.712869+1 7.328245-2 3.444598+1 9.015711-2 1.933607+1 1.135011-1 1.009559+1 2.187762-1 1.557368+0 2.630268-1 9.264788-1 3.090295-1 5.923075-1 3.548134-1 4.064951-1 4.027170-1 2.898584-1 4.518559-1 2.145858-1 5.069907-1 1.600272-1 5.623413-1 1.237602-1 6.237348-1 9.638925-2 6.839117-1 7.770514-2 7.585776-1 6.147015-2 8.413951-1 4.897926-2 9.440609-1 3.831987-2 1.023293+0 3.249903-2 1.148154+0 2.583753-2 1.244515+0 2.214398-2 1.428894+0 1.712538-2 1.603245+0 1.391931-2 1.778279+0 1.162842-2 1.972423+0 9.784970-3 2.290868+0 7.706771-3 2.660725+0 6.113903-3 3.054921+0 4.973570-3 3.548134+0 4.013835-3 4.168694+0 3.212581-3 4.897788+0 2.590726-3 5.821032+0 2.073675-3 7.079458+0 1.623622-3 8.810489+0 1.246619-3 1.100000+1 9.612800-4 1.400000+1 7.302400-4 1.840772+1 5.388246-4 2.511886+1 3.846276-4 3.672823+1 2.570581-4 6.165950+1 1.499325-4 1.202264+2 7.575874-5 2.398833+2 3.767110-5 9.549926+2 9.404955-6 6.025596+4 1.487254-7 1.000000+5 8.964300-8 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 3.203900-3 9.129200-5 1.000000+5 9.129200-5 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.203900-3 1.143900-4 1.000000+5 1.143900-4 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.203900-3 2.998218-3 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.971800-3 9.086600+4 3.015000-3 8.861070+4 3.070000-3 8.534800+4 3.120000-3 8.171500+4 3.180000-3 7.823500+4 3.467369-3 6.286700+4 3.758374-3 5.079300+4 4.623810-3 2.897200+4 5.011872-3 2.321200+4 6.000000-3 1.398600+4 7.244360-3 8.087900+3 8.035261-3 5.952700+3 9.549926-3 3.542600+3 1.150000-2 2.003000+3 1.364583-2 1.173400+3 1.584893-2 7.296900+2 1.840772-2 4.510000+2 2.162719-2 2.668700+2 2.570396-2 1.510600+2 3.090295-2 8.175200+1 3.801894-2 4.066900+1 4.841724-2 1.786300+1 6.760830-2 5.681600+0 1.047129-1 1.263100+0 1.318257-1 5.761200-1 1.584893-1 3.095400-1 1.862087-1 1.809900-1 2.213095-1 1.026400-1 2.483133-1 7.076600-2 2.754229-1 5.096700-2 3.235937-1 3.094300-2 3.630781-1 2.181331-2 4.027170-1 1.603019-2 4.466836-1 1.185993-2 4.954502-1 8.838731-3 5.495409-1 6.636162-3 6.095369-1 5.020825-3 6.683439-1 3.944092-3 7.328245-1 3.118982-3 8.317638-1 2.280658-3 8.912509-1 1.932059-3 9.549926-1 1.648439-3 1.011579+0 1.453812-3 1.096478+0 1.229760-3 1.174898+0 1.072453-3 1.288250+0 9.020698-4 1.445440+0 7.326643-4 1.698244+0 5.513545-4 1.883649+0 4.622018-4 2.089296+0 3.904680-4 2.426610+0 3.083934-4 2.818383+0 2.454083-4 3.162278+0 2.071228-4 3.672823+0 1.674487-4 4.315191+0 1.342486-4 5.069907+0 1.084397-4 6.095369+0 8.566560-5 7.328245+0 6.815251-5 9.120108+0 5.239664-5 1.148154+1 4.006275-5 1.479108+1 3.006472-5 1.949845+1 2.215268-5 2.660725+1 1.583691-5 3.845918+1 1.072514-5 6.456542+1 6.261128-6 1.273503+2 3.128969-6 2.540973+2 1.556538-6 1.011579+3 3.887400-7 6.382635+4 6.148091-9 1.000000+5 3.925300-9 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.971800-3 6.977500-5 1.000000+5 6.977500-5 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.971800-3 1.301400-4 1.000000+5 1.301400-4 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.971800-3 2.771885-3 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 2.838700-3 1.960300+5 2.842900-3 1.952095+5 2.843300-3 1.959135+5 2.990000-3 1.705612+5 3.054921-3 1.620915+5 3.311311-3 1.316874+5 3.589219-3 1.059127+5 4.466836-3 5.793187+4 4.900000-3 4.467560+4 5.800000-3 2.754516+4 6.918310-3 1.635662+4 7.673615-3 1.198610+4 9.120108-3 7.071343+3 1.083927-2 4.127880+3 1.258925-2 2.567881+3 1.445440-2 1.646545+3 1.678804-2 1.010658+3 1.972423-2 5.930676+2 2.344229-2 3.323691+2 2.786121-2 1.848615+2 3.311311-2 1.021266+2 4.027170-2 5.173962+1 5.011872-2 2.400566+1 6.531306-2 9.395479+0 1.148154-1 1.261152+0 1.412538-1 6.071681-1 1.698244-1 3.192593-1 1.949845-1 1.984449-1 2.213095-1 1.291893-1 2.511886-1 8.472575-2 2.818383-1 5.817181-2 3.126079-1 4.175958-2 3.467369-1 3.019933-2 3.801894-1 2.279227-2 4.168694-1 1.731652-2 4.570882-1 1.325067-2 5.011872-1 1.021620-2 5.495409-1 7.936682-3 5.956621-1 6.404989-3 6.531306-1 5.052574-3 7.161434-1 4.016831-3 8.128305-1 2.960957-3 8.810489-1 2.455499-3 9.440609-1 2.105349-3 1.011579+0 1.818047-3 1.109175+0 1.507418-3 1.202264+0 1.287609-3 1.333521+0 1.060534-3 1.500000+0 8.575499-4 1.698244+0 6.887479-4 1.883649+0 5.774840-4 2.089296+0 4.878655-4 2.426610+0 3.852844-4 2.818383+0 3.065794-4 3.162278+0 2.587489-4 3.672823+0 2.091915-4 4.315191+0 1.677131-4 5.069907+0 1.354662-4 6.095369+0 1.070171-4 7.328245+0 8.513921-5 9.120108+0 6.545699-5 1.148154+1 5.004851-5 1.479108+1 3.755828-5 1.949845+1 2.767359-5 2.660725+1 1.978419-5 3.890451+1 1.323730-5 6.531306+1 7.729576-6 1.288250+2 3.863416-6 2.570396+2 1.922138-6 1.023293+3 4.800662-7 6.456542+4 7.592605-9 1.000000+5 4.903600-9 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 2.838700-3 6.701300-5 1.000000+5 6.701300-5 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.838700-3 1.113000-4 1.000000+5 1.113000-4 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.838700-3 2.660387-3 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 5.740300-4 1.262445+5 6.550000-4 1.101994+5 7.852356-4 8.896010+4 8.128305-4 8.524979+4 9.885531-4 6.540319+4 1.071519-3 5.824423+4 1.273503-3 4.490103+4 1.412538-3 3.814689+4 1.659587-3 2.934533+4 1.905461-3 2.324015+4 2.187762-3 1.829576+4 2.570396-3 1.372463+4 3.019952-3 1.021221+4 3.548134-3 7.539848+3 4.168694-3 5.525647+3 4.897788-3 4.019581+3 5.754399-3 2.902363+3 6.760830-3 2.079616+3 7.943282-3 1.478725+3 9.332543-3 1.043404+3 1.096478-2 7.306918+2 1.288250-2 5.077949+2 1.513561-2 3.502420+2 1.778279-2 2.396695+2 2.089296-2 1.627534+2 2.454709-2 1.096519+2 2.884032-2 7.331091+1 3.388442-2 4.864785+1 4.000000-2 3.165420+1 4.731513-2 2.033456+1 5.623413-2 1.280515+1 6.760830-2 7.759006+0 8.222426-2 4.520053+0 1.000000-1 2.614580+0 1.364583-1 1.084374+0 2.317395-1 2.411889-1 2.786121-1 1.439641-1 3.273407-1 9.235346-2 3.758374-1 6.359783-2 4.265795-1 4.552160-2 4.786301-1 3.383366-2 5.308844-1 2.607706-2 5.888437-1 2.023557-2 6.531306-1 1.581769-2 7.244360-1 1.245694-2 8.035261-1 9.884587-3 8.810489-1 8.094769-3 9.660509-1 6.677025-3 1.109175+0 5.060916-3 1.202264+0 4.325677-3 1.396368+0 3.267685-3 1.566751+0 2.651381-3 1.737801+0 2.211722-3 1.927525+0 1.858054-3 2.213095+0 1.488218-3 2.570396+0 1.178604-3 2.951209+0 9.569012-4 3.388442+0 7.834042-4 3.935501+0 6.355418-4 4.623810+0 5.111728-4 5.432503+0 4.141746-4 6.606934+0 3.233945-4 8.000000+0 2.559100-4 9.885531+0 1.990219-4 1.258925+1 1.505897-4 1.640590+1 1.118677-4 2.213095+1 8.061719-5 3.126079+1 5.571978-5 4.623810+1 3.695547-5 7.079458+1 2.378902-5 1.380384+2 1.204145-5 2.754229+2 5.993723-6 1.096478+3 1.497546-6 1.000000+5 1.639300-8 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 5.740300-4 6.202500-5 1.000000+5 6.202500-5 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.740300-4 1.249700-7 1.000000+5 1.249700-7 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.740300-4 5.118800-4 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 4.820600-4 1.104224+5 4.826000-4 1.155140+5 4.831000-4 1.198356+5 4.836500-4 1.240808+5 4.844000-4 1.291520+5 4.852000-4 1.337898+5 4.860000-4 1.379194+5 4.870000-4 1.424316+5 4.885000-4 1.481618+5 4.900000-4 1.530272+5 4.918000-4 1.579140+5 4.940000-4 1.627200+5 4.960000-4 1.661504+5 4.980000-4 1.688180+5 5.000000-4 1.708570+5 5.030000-4 1.728936+5 5.060000-4 1.739590+5 5.100000-4 1.742914+5 5.150000-4 1.736078+5 5.900000-4 1.596604+5 6.606934-4 1.462453+5 6.918310-4 1.403144+5 7.328245-4 1.325321+5 7.852356-4 1.228789+5 8.511380-4 1.117899+5 9.015711-4 1.037847+5 9.885531-4 9.127143+4 1.071519-3 8.110087+4 1.150000-3 7.265780+4 1.273503-3 6.142172+4 1.400000-3 5.219240+4 1.531087-3 4.440194+4 1.698244-3 3.656934+4 1.862087-3 3.056896+4 2.089296-3 2.422662+4 2.300000-3 1.981890+4 2.570396-3 1.559294+4 2.851018-3 1.238109+4 3.198895-3 9.510819+3 3.589219-3 7.249328+3 4.027170-3 5.485301+3 4.518559-3 4.120668+3 5.069907-3 3.073901+3 5.688529-3 2.277542+3 6.382635-3 1.676410+3 7.244360-3 1.187861+3 8.222426-3 8.354104+2 9.332543-3 5.833717+2 1.059254-2 4.046175+2 1.216186-2 2.694635+2 1.396368-2 1.781108+2 1.603245-2 1.169042+2 1.840772-2 7.619160+1 2.137962-2 4.756494+1 2.511886-2 2.841727+1 2.985383-2 1.623266+1 3.589219-2 8.860096+0 4.365158-2 4.620277+0 5.495409-2 2.130291+0 7.585776-2 7.138883-1 1.148154-1 1.746159-1 1.428894-1 8.356341-2 1.717908-1 4.520228-2 1.972423-1 2.870218-2 2.290868-1 1.768048-2 2.600160-1 1.181119-2 2.951209-1 7.945960-3 3.349654-1 5.385615-3 3.758374-1 3.809990-3 4.168694-1 2.809344-3 4.623810-1 2.085856-3 5.128614-1 1.559536-3 5.688529-1 1.174511-3 6.237348-1 9.188825-4 6.839117-1 7.235942-4 7.498942-1 5.735810-4 8.609938-1 4.086356-4 9.225714-1 3.472268-4 9.772372-1 3.049690-4 1.047129+0 2.631063-4 1.122018+0 2.284709-4 1.202264+0 1.996962-4 1.333521+0 1.648083-4 1.566751+0 1.236198-4 1.757924+0 1.011133-4 1.949845+0 8.496533-5 2.238721+0 6.809168-5 2.600160+0 5.395573-5 3.000000+0 4.351800-5 3.467369+0 3.532963-5 4.027170+0 2.869281-5 4.731513+0 2.310219-5 5.623413+0 1.846332-5 6.839116+0 1.443648-5 8.413951+0 1.122246-5 1.035142+1 8.788481-6 1.318257+1 6.659345-6 1.737801+1 4.891381-6 2.344229+1 3.529861-6 3.388442+1 2.384275-6 5.308844+1 1.491651-6 8.222427+1 9.509947-7 1.584893+2 4.878144-7 3.162278+2 2.430156-7 1.258925+3 6.076071-8 1.000000+5 7.63830-10 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 4.820600-4 4.720500-5 1.000000+5 4.720500-5 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.820600-4 1.282100-7 1.000000+5 1.282100-7 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.820600-4 4.347268-4 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.592900-4 3.392813+5 4.631000-4 3.501714+5 4.722000-4 3.672636+5 4.830000-4 3.822541+5 4.954502-4 3.906985+5 5.080000-4 3.940318+5 5.128614-4 3.939615+5 5.248075-4 3.910728+5 5.432503-4 3.816953+5 5.720000-4 3.661580+5 6.456542-4 3.266967+5 6.850000-4 3.066312+5 7.328245-4 2.835952+5 8.035261-4 2.527866+5 8.511380-4 2.339421+5 9.225714-4 2.081151+5 1.023293-3 1.776549+5 1.109175-3 1.559309+5 1.216186-3 1.332106+5 1.350000-3 1.106576+5 1.479108-3 9.335092+4 1.650000-3 7.558400+4 1.819701-3 6.211368+4 2.018366-3 5.011301+4 2.238721-3 4.014488+4 2.500000-3 3.146428+4 2.800000-3 2.430776+4 3.126079-3 1.877715+4 3.507519-3 1.423272+4 3.935501-3 1.070810+4 4.415704-3 7.998477+3 4.954502-3 5.933088+3 5.559043-3 4.371285+3 6.309573-3 3.099446+3 7.161434-3 2.180313+3 8.128305-3 1.522123+3 9.225714-3 1.054930+3 1.047129-2 7.260021+2 1.200000-2 4.820840+2 1.380384-2 3.139377+2 1.584893-2 2.041031+2 1.819701-2 1.317316+2 2.113489-2 8.134085+1 2.454709-2 4.984621+1 2.884032-2 2.918703+1 3.388442-2 1.696171+1 4.073803-2 9.048325+0 4.954502-2 4.603972+0 6.237348-2 2.061581+0 1.258925-1 1.738065-1 1.531088-1 8.775903-2 1.798871-1 5.032081-2 2.065380-1 3.143404-2 2.344229-1 2.056572-2 2.630268-1 1.408031-2 2.951209-1 9.711833-3 3.273407-1 7.001043-3 3.630781-1 5.084238-3 4.000000-1 3.797715-3 4.365158-1 2.938266-3 4.786301-1 2.257611-3 5.188000-1 1.803972-3 5.688529-1 1.406324-3 6.165950-1 1.138317-3 6.760830-1 9.007093-4 7.413102-1 7.182461-4 8.317638-1 5.463201-4 9.015711-1 4.539650-4 9.660509-1 3.900290-4 1.035142+0 3.375558-4 1.135011+0 2.803542-4 1.230269+0 2.399457-4 1.364583+0 1.979423-4 1.584893+0 1.513471-4 1.778279+0 1.238809-4 1.972423+0 1.042134-4 2.290868+0 8.207850-5 2.660725+0 6.511379-5 3.054921+0 5.296869-5 3.548134+0 4.274704-5 4.168694+0 3.421404-5 4.897788+0 2.759213-5 5.821032+0 2.208546-5 7.079458+0 1.729242-5 8.709636+0 1.346061-5 1.083927+1 1.041366-5 1.380384+1 7.901722-6 1.819701+1 5.811634-6 2.483133+1 4.147188-6 3.630781+1 2.770987-6 6.095369+1 1.615805-6 1.188502+2 8.163436-7 2.371374+2 4.058832-7 9.440609+2 1.013254-7 5.956621+4 1.602294-9 1.000000+5 9.54710-10 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.592900-4 4.667600-5 1.000000+5 4.667600-5 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.592900-4 7.745800-8 1.000000+5 7.745800-8 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.592900-4 4.125365-4 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.945300-4 8.056520+4 2.958000-4 8.019800+4 2.970000-4 8.047240+4 2.978000-4 8.107360+4 2.986200-4 8.213182+4 2.993000-4 8.343880+4 3.000000-4 8.525760+4 3.007000-4 8.761800+4 3.013000-4 9.013880+4 3.020000-4 9.374440+4 3.026000-4 9.747720+4 3.032000-4 1.018680+5 3.037000-4 1.060904+5 3.042000-4 1.108616+5 3.047000-4 1.162232+5 3.054921-4 1.260487+5 3.061000-4 1.347880+5 3.069000-4 1.480228+5 3.077000-4 1.633900+5 3.085000-4 1.810500+5 3.123000-4 2.994028+5 3.135000-4 3.487048+5 3.145000-4 3.937152+5 3.154000-4 4.368080+5 3.165000-4 4.923040+5 3.172000-4 5.288240+5 3.183000-4 5.874520+5 3.190000-4 6.252480+5 3.200000-4 6.794080+5 3.210000-4 7.332200+5 3.220000-4 7.861960+5 3.230000-4 8.379360+5 3.240000-4 8.881480+5 3.250000-4 9.366240+5 3.265000-4 1.005884+6 3.280000-4 1.070600+6 3.295000-4 1.131100+6 3.311311-4 1.192065+6 3.328000-4 1.249408+6 3.349654-4 1.317070+6 3.370000-4 1.373632+6 3.390000-4 1.423388+6 3.410000-4 1.467180+6 3.430000-4 1.505716+6 3.450000-4 1.539004+6 3.477000-4 1.576184+6 3.507519-4 1.607826+6 3.540000-4 1.631544+6 3.580000-4 1.648520+6 3.630781-4 1.655484+6 3.680000-4 1.651544+6 3.758374-4 1.633369+6 3.890451-4 1.590595+6 4.050000-4 1.532224+6 4.191700-4 1.473791+6 4.315191-4 1.418024+6 4.518559-4 1.322934+6 4.786301-4 1.204397+6 5.011872-4 1.112249+6 5.248075-4 1.021279+6 5.580000-4 9.039280+5 5.900000-4 8.037920+5 6.350000-4 6.839960+5 6.760830-4 5.920606+5 7.328245-4 4.873509+5 8.035261-4 3.872225+5 8.709636-4 3.142885+5 9.700000-4 2.357388+5 1.059254-3 1.852402+5 1.190000-3 1.334444+5 1.303167-3 1.027168+5 1.462177-3 7.311661+4 1.603245-3 5.538307+4 1.800000-3 3.876572+4 2.000000-3 2.781564+4 2.238721-3 1.936736+4 2.540973-3 1.278675+4 2.884032-3 8.370961+3 3.235937-3 5.654728+3 3.630781-3 3.794782+3 4.073803-3 2.529872+3 4.623810-3 1.607113+3 5.188000-3 1.056654+3 5.888437-3 6.613368+2 6.606934-3 4.291689+2 7.500000-3 2.647884+2 8.609938-3 1.553795+2 1.000000-2 8.642560+1 1.148154-2 4.992048+1 1.333521-2 2.733254+1 1.548817-2 1.485011+1 1.819701-2 7.636078+0 2.162719-2 3.714434+0 2.630268-2 1.627589+0 3.349654-2 5.821962-1 5.011872-2 1.037828-1 7.079458-2 2.361707-2 8.810489-2 9.310383-3 1.059254-1 4.281464-3 1.244515-1 2.184974-3 1.445440-1 1.178777-3 1.659587-1 6.718424-4 1.883649-1 4.042325-4 2.113489-1 2.565117-4 2.371374-1 1.639749-4 2.660725-1 1.056266-4 2.951209-1 7.159370-5 3.273407-1 4.883304-5 3.589219-1 3.497769-5 3.935501-1 2.522204-5 4.315191-1 1.832955-5 4.731513-1 1.341818-5 5.248075-1 9.523819-6 5.754399-1 7.072042-6 6.309573-1 5.290169-6 6.918310-1 3.987868-6 7.585776-1 3.029914-6 8.222427-1 2.399702-6 8.709636-1 2.041879-6 9.225714-1 1.749327-6 9.660509-1 1.555586-6 1.011579+0 1.392799-6 1.059254+0 1.256147-6 1.109175+0 1.140215-6 1.174898+0 1.017543-6 1.258925+0 8.943960-7 1.364583+0 7.749034-7 1.531087+0 6.355288-7 1.778279+0 4.893992-7 1.949845+0 4.191673-7 2.238721+0 3.359077-7 2.600160+0 2.661743-7 3.000000+0 2.146800-7 3.467369+0 1.742818-7 4.027170+0 1.415424-7 4.731513+0 1.139717-7 5.623413+0 9.108502-8 6.839116+0 7.121718-8 8.317638+0 5.613138-8 1.035142+1 4.335417-8 1.318257+1 3.285179-8 1.717908+1 2.443820-8 2.317395+1 1.763089-8 3.349654+1 1.190541-8 5.188000+1 7.536616-9 7.852356+1 4.917688-9 1.513561+2 2.521220-9 3.019952+2 1.255693-9 1.202264+3 3.13889-10 1.000000+5 3.76810-12 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.945300-4 2.864500-5 1.000000+5 2.864500-5 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.945300-4 8.664500-8 1.000000+5 8.664500-8 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.945300-4 2.657984-4 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.900500-4 1.145058+5 2.912000-4 1.147758+5 2.923000-4 1.156614+5 2.933000-4 1.172286+5 2.942000-4 1.194432+5 2.950000-4 1.222506+5 2.958000-4 1.260204+5 2.965000-4 1.302468+5 2.971000-4 1.346682+5 2.976000-4 1.389840+5 2.983000-4 1.461084+5 2.990000-4 1.546446+5 2.997000-4 1.647672+5 3.004200-4 1.770297+5 3.011000-4 1.905168+5 3.019952-4 2.113941+5 3.030000-4 2.395026+5 3.040000-4 2.728692+5 3.073000-4 4.255146+5 3.085000-4 4.976358+5 3.097000-4 5.779140+5 3.107000-4 6.502740+5 3.115000-4 7.111500+5 3.126079-4 7.988738+5 3.135000-4 8.715420+5 3.145000-4 9.542160+5 3.154000-4 1.028922+6 3.165000-4 1.119666+6 3.176000-4 1.208856+6 3.185000-4 1.280112+6 3.197000-4 1.372116+6 3.210000-4 1.467366+6 3.225000-4 1.571118+6 3.240000-4 1.668108+6 3.255000-4 1.758444+6 3.273407-4 1.860567+6 3.293400-4 1.961202+6 3.311311-4 2.042793+6 3.335000-4 2.139018+6 3.360000-4 2.226930+6 3.388442-4 2.310822+6 3.410500-4 2.364734+6 3.440000-4 2.422638+6 3.470000-4 2.466354+6 3.507519-4 2.502390+6 3.550000-4 2.522862+6 3.600000-4 2.526618+6 3.650100-4 2.515919+6 3.740000-4 2.478090+6 3.890451-4 2.397489+6 4.050000-4 2.302374+6 4.168694-4 2.223569+6 4.315191-4 2.118953+6 4.518559-4 1.971952+6 4.841724-4 1.756103+6 5.080000-4 1.610514+6 5.308844-4 1.478993+6 5.623413-4 1.314673+6 6.100000-4 1.102410+6 6.531306-4 9.441909+5 7.000000-4 8.004720+5 7.673615-4 6.375237+5 8.317638-4 5.187852+5 9.120108-4 4.064865+5 1.000000-3 3.165936+5 1.110000-3 2.366436+5 1.230269-3 1.763449+5 1.364583-3 1.302089+5 1.513561-3 9.547543+4 1.678804-3 6.953788+4 1.883649-3 4.850727+4 2.089296-3 3.484318+4 2.344229-3 2.395306+4 2.660725-3 1.572715+4 3.000000-3 1.047366+4 3.349654-3 7.162901+3 3.715352-3 4.984518+3 4.168694-3 3.310204+3 4.731513-3 2.093484+3 5.370318-3 1.313581+3 6.025596-3 8.540425+2 6.760830-3 5.518409+2 7.585776-3 3.544921+2 8.609938-3 2.165133+2 1.000000-2 1.198506+2 1.148154-2 6.890709+1 1.318257-2 3.933387+1 1.513561-2 2.229783+1 1.757924-2 1.196443+1 2.065380-2 6.072786+0 2.454709-2 2.913673+0 3.019952-2 1.196930+0 3.890451-2 4.000133-1 7.585776-2 2.193455-2 9.332543-2 8.961359-3 1.096478-1 4.498312-3 1.318257-1 2.062005-3 1.500000-1 1.202167-3 1.678804-1 7.566723-4 1.862087-1 4.974269-4 2.065380-1 3.292364-4 2.290868-1 2.195388-4 2.511886-1 1.541974-4 2.754229-1 1.090710-4 3.000000-1 7.963690-5 3.273407-1 5.821596-5 3.548134-1 4.388294-5 3.845918-1 3.330025-5 4.120975-1 2.643774-5 4.518559-1 1.959064-5 4.954502-1 1.462459-5 5.432503-1 1.096664-5 5.888437-1 8.587803-6 6.095369-1 7.761493-6 6.531306-1 6.389944-6 6.998420-1 5.296321-6 7.585776-1 4.284732-6 8.035261-1 3.694497-6 8.609938-1 3.082023-6 9.120108-1 2.665052-6 9.660509-1 2.320338-6 1.011579+0 2.089552-6 1.071519+0 1.845751-6 1.135011+0 1.640704-6 1.202264+0 1.467278-6 1.318257+0 1.238823-6 1.737801+0 7.625732-7 1.927525+0 6.400272-7 2.187762+0 5.219438-7 2.540973+0 4.131218-7 2.917427+0 3.352260-7 3.311311+0 2.788046-7 3.845918+0 2.259283-7 4.518559+0 1.815239-7 5.308844+0 1.469297-7 6.456542+0 1.146180-7 7.762471+0 9.139577-8 9.660509+0 7.041572-8 1.230269+1 5.323719-8 1.603245+1 3.952295-8 2.162719+1 2.846411-8 3.019952+1 1.990444-8 4.466836+1 1.319294-8 6.918310+1 8.388327-9 1.348963+2 4.244952-9 2.691535+2 2.112537-9 1.071519+3 5.27772-10 1.000000+5 5.64550-12 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.900500-4 2.865100-5 1.000000+5 2.865100-5 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.900500-4 2.62370-10 1.000000+5 2.62370-10 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.900500-4 2.613987-4 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 8.214000-5 1.724284+5 8.413951-5 1.765791+5 8.609938-5 1.796157+5 8.912509-5 1.828533+5 9.332543-5 1.855211+5 9.900000-5 1.874830+5 1.080000-4 1.887546+5 1.174898-4 1.886320+5 1.260000-4 1.871662+5 1.333521-4 1.848003+5 1.412538-4 1.811468+5 1.496236-4 1.762216+5 1.584893-4 1.701818+5 1.690000-4 1.624520+5 1.819701-4 1.527844+5 2.000000-4 1.400962+5 2.220000-4 1.263098+5 2.426610-4 1.148467+5 2.650000-4 1.037798+5 2.917427-4 9.218787+4 3.311311-4 7.817288+4 3.758374-4 6.581337+4 4.216965-4 5.585393+4 4.841724-4 4.549586+4 5.623413-4 3.618024+4 6.606934-4 2.801450+4 7.852356-4 2.114450+4 9.660509-4 1.494644+4 1.188502-3 1.047989+4 1.462177-3 7.293999+3 1.778279-3 5.143668+3 2.137962-3 3.677613+3 2.540973-3 2.666762+3 3.054921-3 1.878577+3 3.672823-3 1.312697+3 4.415704-3 9.100568+2 5.308844-3 6.259675+2 6.309573-3 4.375518+2 7.498942-3 3.035799+2 8.810489-3 2.142734+2 1.035142-2 1.501763+2 1.216186-2 1.044918+2 1.428894-2 7.217303+1 1.678804-2 4.948227+1 1.972423-2 3.367287+1 2.317395-2 2.274032+1 2.722701-2 1.524392+1 3.198895-2 1.014586+1 3.758374-2 6.702733+0 4.466836-2 4.265708+0 5.248075-2 2.778138+0 6.309573-2 1.688322+0 7.673615-2 9.868778-1 9.225714-2 5.906689-1 1.202264-1 2.798694-1 2.264644-1 4.642015-2 2.722701-1 2.769311-2 3.198895-1 1.774947-2 3.672823-1 1.220849-2 4.168694-1 8.726801-3 4.677351-1 6.477129-3 5.188000-1 4.985038-3 5.754399-1 3.862454-3 6.382635-1 3.014208-3 7.079458-1 2.369882-3 7.852356-1 1.877430-3 8.709636-1 1.497693-3 9.549926-1 1.234246-3 1.071519+0 9.787363-4 1.188600+0 7.981800-4 1.380384+0 6.026471-4 1.548817+0 4.886246-4 1.717908+0 4.073053-4 1.905461+0 3.418939-4 2.137962+0 2.838322-4 2.483133+0 2.244051-4 2.851018+0 1.818774-4 3.198895+0 1.535916-4 3.715352+0 1.242462-4 4.365158+0 9.966468-5 5.128614+0 8.054444-5 6.165950+0 6.365927-5 7.413102+0 5.066891-5 9.225714+0 3.897162-5 1.161449+1 2.980958-5 1.500000+1 2.231500-5 2.000000+1 1.624600-5 2.691535+1 1.179529-5 3.845918+1 8.086276-6 6.456542+1 4.720784-6 1.258925+2 2.386874-6 2.511886+2 1.187288-6 1.000000+3 2.965000-7 6.309573+4 4.689197-9 1.000000+5 2.959600-9 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 8.214000-5 2.647400-5 1.000000+5 2.647400-5 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 8.214000-5 3.02740-10 1.000000+5 3.02740-10 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 8.214000-5 5.566570-5 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 5.419000-5 1.270300+6 5.450000-5 1.269670+6 5.505000-5 1.260816+6 5.560000-5 1.245130+6 5.630000-5 1.217944+6 5.700000-5 1.185932+6 5.780000-5 1.144964+6 5.888437-5 1.085881+6 6.025596-5 1.009887+6 6.165950-5 9.334122+5 6.350000-5 8.383160+5 6.580000-5 7.306080+5 6.900000-5 6.028480+5 7.673615-5 3.874823+5 8.000000-5 3.275700+5 8.300000-5 2.842880+5 8.570000-5 2.530640+5 8.810489-5 2.302550+5 9.070000-5 2.099520+5 9.332543-5 1.931180+5 9.580000-5 1.800248+5 9.800000-5 1.702370+5 1.010000-4 1.591806+5 1.040000-4 1.502570+5 1.071519-4 1.426970+5 1.100000-4 1.371412+5 1.135011-4 1.316267+5 1.174898-4 1.267247+5 1.220000-4 1.225166+5 1.273503-4 1.188508+5 1.333521-4 1.159119+5 1.412538-4 1.132278+5 1.757924-4 1.063071+5 1.927525-4 1.029372+5 2.089296-4 9.944501+4 2.264644-4 9.540127+4 2.454709-4 9.084411+4 2.660725-4 8.582957+4 2.900000-4 8.009880+4 3.162278-4 7.416876+4 3.467369-4 6.782847+4 3.801894-4 6.156709+4 4.168694-4 5.543476+4 4.600000-4 4.917040+4 5.150000-4 4.249880+4 5.688529-4 3.709730+4 6.309573-4 3.195876+4 7.079458-4 2.688226+4 7.943282-4 2.243497+4 9.015711-4 1.823125+4 1.011579-3 1.499127+4 1.150000-3 1.195682+4 1.288250-3 9.721710+3 1.450000-3 7.782040+3 1.621810-3 6.262776+3 1.819701-3 4.974800+3 2.041738-3 3.924593+3 2.290868-3 3.073040+3 2.570396-3 2.389009+3 2.884032-3 1.844048+3 3.235937-3 1.413239+3 3.630781-3 1.075589+3 4.120975-3 7.904500+2 4.677351-3 5.763669+2 5.308844-3 4.170533+2 6.025596-3 2.994914+2 6.839116-3 2.134294+2 7.762471-3 1.509989+2 8.810489-3 1.060551+2 1.000000-2 7.395700+1 1.148154-2 4.953117+1 1.318257-2 3.291974+1 1.513561-2 2.171924+1 1.757924-2 1.373188+1 2.041738-2 8.614212+0 2.398833-2 5.171943+0 2.818383-2 3.083529+0 3.311311-2 1.824796+0 3.981072-2 9.938621-1 4.897788-2 4.976876-1 6.382635-2 2.037746-1 1.188502-1 2.476690-2 1.479108-1 1.187739-2 1.757924-1 6.692228-3 2.065380-1 3.946359-3 2.371374-1 2.527025-3 2.691535-1 1.690583-3 3.054921-1 1.139186-3 3.427678-1 8.012241-4 3.845918-1 5.676932-4 4.265795-1 4.192428-4 4.731513-1 3.117634-4 5.248075-1 2.334948-4 5.821032-1 1.761831-4 6.382635-1 1.380805-4 6.998420-1 1.089176-4 7.673615-1 8.647598-5 8.609938-1 6.519462-5 9.225714-1 5.537817-5 9.772372-1 4.862716-5 1.047129+0 4.194454-5 1.122018+0 3.641992-5 1.202264+0 3.184115-5 1.348963+0 2.574616-5 1.603245+0 1.892399-5 1.798871+0 1.550153-5 1.995262+0 1.304810-5 2.317395+0 1.028082-5 2.691535+0 8.161259-6 3.054921+0 6.757008-6 3.548134+0 5.453073-6 4.168694+0 4.364540-6 4.897788+0 3.519806-6 5.821032+0 2.817341-6 7.079458+0 2.205882-6 8.709636+0 1.717051-6 1.083927+1 1.328405-6 1.380384+1 1.007984-6 1.819701+1 7.413647-7 2.483133+1 5.290411-7 3.630781+1 3.534890-7 6.095369+1 2.061201-7 1.188502+2 1.041374-7 2.371374+2 5.177688-8 9.440609+2 1.292542-8 5.956621+4 2.04399-10 1.000000+5 1.21790-10 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 5.419000-5 1.795000-5 1.000000+5 1.795000-5 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 5.419000-5 3.29260-10 1.000000+5 3.29260-10 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 5.419000-5 3.623967-5 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 5.066000-5 2.715408+6 5.120000-5 2.686476+6 5.188000-5 2.630169+6 5.270000-5 2.542636+6 5.370318-5 2.420182+6 5.450000-5 2.317444+6 5.580000-5 2.148312+6 5.754399-5 1.929498+6 5.956621-5 1.696773+6 6.237348-5 1.417758+6 6.918310-5 9.357138+5 7.244360-5 7.823938+5 7.500000-5 6.881640+5 7.737400-5 6.171477+5 7.943282-5 5.661643+5 8.150000-5 5.232160+5 8.400000-5 4.803840+5 8.650000-5 4.456560+5 8.912509-5 4.161399+5 9.150000-5 3.943392+5 9.440609-5 3.726760+5 9.660509-5 3.592266+5 1.000000-4 3.423644+5 1.035142-4 3.287775+5 1.071519-4 3.178131+5 1.109175-4 3.089360+5 1.161449-4 2.995990+5 1.230269-4 2.908130+5 1.318257-4 2.829323+5 1.584893-4 2.659714+5 1.737801-4 2.562299+5 1.900000-4 2.452400+5 2.080000-4 2.327080+5 2.264644-4 2.198130+5 2.454709-4 2.067263+5 2.660725-4 1.930238+5 2.900000-4 1.779960+5 3.200000-4 1.609576+5 3.507519-4 1.455061+5 3.850000-4 1.304228+5 4.216965-4 1.163343+5 4.677351-4 1.013998+5 5.248075-4 8.637353+4 5.821032-4 7.418138+4 6.531306-4 6.214121+4 7.300000-4 5.201920+4 8.128305-4 4.351648+4 9.225714-4 3.500210+4 1.030000-3 2.877388+4 1.161449-3 2.308229+4 1.300000-3 1.865196+4 1.479108-3 1.450411+4 1.678804-3 1.123432+4 1.905461-3 8.633365+3 2.137962-3 6.744768+3 2.398833-3 5.230934+3 2.691535-3 4.028255+3 3.019952-3 3.080238+3 3.388442-3 2.338470+3 3.845918-3 1.713692+3 4.315191-3 1.282981+3 4.897788-3 9.260985+2 5.559043-3 6.633347+2 6.309573-3 4.714866+2 7.161434-3 3.325825+2 8.128305-3 2.328442+2 9.225714-3 1.618063+2 1.047129-2 1.116466+2 1.188502-2 7.651208+1 1.364583-2 5.028087+1 1.566751-2 3.279163+1 1.798871-2 2.122889+1 2.065380-2 1.364432+1 2.371374-2 8.705962+0 2.754229-2 5.310274+0 3.273407-2 2.977943+0 3.935501-2 1.593972+0 4.786301-2 8.139500-1 5.821032-2 4.123331-1 7.852356-2 1.443443-1 1.273503-1 2.635094-2 1.566751-1 1.280264-2 1.840772-1 7.352355-3 2.113489-1 4.602019-3 2.398833-1 3.015977-3 2.691535-1 2.068173-3 3.000000-1 1.459400-3 3.311311-1 1.069620-3 3.672823-1 7.776569-4 4.027170-1 5.898003-4 4.415705-1 4.505125-4 4.841724-1 3.465792-4 5.308844-1 2.686076-4 5.821032-1 2.097694-4 6.309573-1 1.700706-4 6.918310-1 1.348245-4 7.585776-1 1.077284-4 8.511380-1 8.213755-5 9.120108-1 7.022881-5 9.772372-1 6.044106-5 1.059254+0 5.117250-5 1.161449+0 4.260443-5 1.273503+0 3.572187-5 1.412538+0 2.952599-5 1.659587+0 2.217015-5 1.840772+0 1.856029-5 2.018366+0 1.594815-5 2.371374+0 1.235118-5 2.754229+0 9.815792-6 3.126079+0 8.136726-6 3.630781+0 6.574415-6 4.265795+0 5.267951-6 5.011872+0 4.252817-6 6.025596+0 3.358081-6 7.244360+0 2.670387-6 9.015711+0 2.052151-6 1.122018+1 1.589403-6 1.428894+1 1.207384-6 1.883649+1 8.888203-7 2.570396+1 6.348534-7 3.758374+1 4.244869-7 6.309573+1 2.476989-7 1.230269+2 1.251992-7 2.454709+2 6.226756-8 9.772372+2 1.554757-8 6.165950+4 2.45880-10 1.000000+5 1.51650-10 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 5.066000-5 1.777700-5 1.000000+5 1.777700-5 1 44000 7 7 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 5.066000-5 2.45460-10 1.000000+5 2.45460-10 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 5.066000-5 3.288275-5 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 9.150000-6 3.696588+6 9.549926-6 3.875122+6 1.023293-5 4.217829+6 1.333521-5 5.958343+6 1.531087-5 7.082494+6 1.778279-5 8.480190+6 1.972423-5 9.550990+6 2.162719-5 1.054238+7 2.300000-5 1.119255+7 2.426610-5 1.171223+7 2.540973-5 1.210102+7 2.650000-5 1.238695+7 2.754229-5 1.257048+7 2.851018-5 1.265455+7 2.951209-5 1.264887+7 3.040000-5 1.256503+7 3.126079-5 1.241599+7 3.230000-5 1.215354+7 3.330000-5 1.182404+7 3.427678-5 1.143870+7 3.507519-5 1.108446+7 3.610000-5 1.058901+7 3.715352-5 1.004557+7 3.801894-5 9.583258+6 3.900000-5 9.051168+6 4.027170-5 8.361458+6 4.150000-5 7.707336+6 4.265795-5 7.110559+6 4.410200-5 6.402919+6 4.518559-5 5.903120+6 4.677351-5 5.222807+6 4.841724-5 4.584431+6 5.011872-5 3.992103+6 5.188000-5 3.448523+6 5.370318-5 2.955015+6 5.527000-5 2.582123+6 5.688529-5 2.242302+6 5.850000-5 1.943242+6 6.025596-5 1.659260+6 6.220000-5 1.389282+6 6.400000-5 1.175829+6 6.580000-5 9.929192+5 6.760830-5 8.359052+5 6.950000-5 6.965252+5 7.150000-5 5.730172+5 7.350000-5 4.704616+5 7.500000-5 4.053560+5 7.730000-5 3.222324+5 7.943282-5 2.604137+5 8.400000-5 1.662917+5 8.650000-5 1.316554+5 8.850000-5 1.104508+5 9.000000-5 9.769956+4 9.120108-5 8.917371+4 9.240200-5 8.197618+4 9.350000-5 7.643692+4 9.450000-5 7.217168+4 9.549926-5 6.858260+4 9.660509-5 6.532070+4 9.760000-5 6.296220+4 9.850000-5 6.125504+4 9.950000-5 5.978952+4 1.005000-4 5.873644+4 1.015000-4 5.805604+4 1.025000-4 5.771164+4 1.037900-4 5.771039+4 1.050000-4 5.810952+4 1.065000-4 5.907020+4 1.080000-4 6.047132+4 1.096478-4 6.243567+4 1.110000-4 6.432440+4 1.135011-4 6.833642+4 1.240000-4 8.878912+4 1.280000-4 9.688868+4 1.318257-4 1.043578+5 1.350000-4 1.102335+5 1.390000-4 1.171531+5 1.430000-4 1.234915+5 1.465000-4 1.285192+5 1.513561-4 1.346657+5 1.566751-4 1.403731+5 1.621810-4 1.452389+5 1.678804-4 1.491885+5 1.740000-4 1.523791+5 1.800000-4 1.546084+5 1.862087-4 1.560197+5 1.950000-4 1.567969+5 2.030000-4 1.564511+5 2.113489-4 1.551671+5 2.213095-4 1.527481+5 2.317395-4 1.492890+5 2.426610-4 1.450447+5 2.550000-4 1.396172+5 2.691535-4 1.330443+5 2.851018-4 1.254126+5 3.019952-4 1.174624+5 3.198895-4 1.093204+5 3.388442-4 1.011379+5 3.630781-4 9.144380+4 3.890451-4 8.205833+4 4.168694-4 7.314368+4 4.466836-4 6.478250+4 4.841724-4 5.579086+4 5.248075-4 4.768166+4 5.688529-4 4.045925+4 6.165950-4 3.410163+4 6.760830-4 2.783838+4 7.413102-4 2.255290+4 8.222426-4 1.764973+4 9.015711-4 1.409917+4 1.000000-3 1.086726+4 1.109175-3 8.312401+3 1.230269-3 6.308956+3 1.364583-3 4.751297+3 1.513561-3 3.548626+3 1.678804-3 2.630968+3 1.862087-3 1.937122+3 2.137962-3 1.276485+3 2.371374-3 9.267532+2 2.600160-3 6.923762+2 2.884032-3 4.935885+2 3.273407-3 3.235085+2 3.715352-3 2.107818+2 4.120975-3 1.475491+2 4.623810-3 9.853359+1 5.188000-3 6.533749+1 5.888437-3 4.125679+1 6.683439-3 2.585080+1 7.585776-3 1.607433+1 8.609938-3 9.920128+0 9.772372-3 6.078450+0 1.122018-2 3.535781+0 1.288250-2 2.041505+0 1.496236-2 1.117065+0 1.737801-2 6.062088-1 2.041738-2 3.114683-1 2.426610-2 1.514480-1 2.985383-2 6.322139-2 3.845918-2 2.154477-2 7.244360-2 1.441355-3 9.120108-2 5.424693-4 1.096478-1 2.500026-4 1.288250-1 1.278702-4 1.496236-1 6.913431-5 1.698244-1 4.135519-5 1.927525-1 2.491655-5 2.162719-1 1.583589-5 2.426610-1 1.014037-5 2.691535-1 6.834649-6 3.000000-1 4.554000-6 3.311311-1 3.166503-6 3.630781-1 2.270540-6 4.000000-1 1.612000-6 4.415705-1 1.146442-6 4.841724-1 8.405368-7 5.370318-1 5.973514-7 5.888437-1 4.441838-7 6.456542-1 3.328096-7 6.998420-1 2.602159-7 7.585776-1 2.047506-7 8.035261-1 1.731262-7 8.511380-1 1.460293-7 9.015711-1 1.240247-7 9.440609-1 1.095508-7 9.885531-1 9.746203-8 1.035142+0 8.741911-8 1.083927+0 7.896326-8 1.135011+0 7.177070-8 1.202264+0 6.419352-8 1.303167+0 5.549650-8 1.513561+0 4.296417-8 1.778279+0 3.242645-8 1.949845+0 2.776596-8 2.238721+0 2.224910-8 2.600160+0 1.763033-8 3.000000+0 1.422000-8 3.467369+0 1.154442-8 4.027170+0 9.375796-9 4.731513+0 7.549017-9 5.623413+0 6.033138-9 6.839116+0 4.717373-9 8.413951+0 3.667131-9 1.047129+1 2.833597-9 1.333521+1 2.147883-9 1.757924+1 1.578142-9 2.400000+1 1.124600-9 3.507519+1 7.51236-10 5.688529+1 4.53707-10 1.000000+2 2.54430-10 1.995262+2 1.26302-10 3.981072+2 6.29965-11 1.584893+3 1.57666-11 1.000000+5 2.49590-13 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 9.150000-6 9.150000-6 1.000000+5 9.150000-6 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 9.150000-6 0.0 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 8.790000-6 5.775420+6 9.120108-6 6.026771+6 1.000000-5 6.769644+6 1.174898-5 8.323390+6 1.333521-5 9.717582+6 1.531087-5 1.141196+7 1.757924-5 1.330412+7 1.972423-5 1.502311+7 2.137962-5 1.625298+7 2.290868-5 1.726627+7 2.400000-5 1.788772+7 2.511886-5 1.840721+7 2.610000-5 1.875124+7 2.710800-5 1.898042+7 2.800000-5 1.906981+7 2.900000-5 1.904078+7 3.000000-5 1.887593+7 3.090295-5 1.861328+7 3.190000-5 1.820427+7 3.273407-5 1.777473+7 3.350000-5 1.731891+7 3.450000-5 1.665040+7 3.548134-5 1.593122+7 3.650000-5 1.513751+7 3.758374-5 1.425976+7 3.850000-5 1.350455+7 3.950000-5 1.267942+7 4.073803-5 1.167372+7 4.180000-5 1.083755+7 4.315191-5 9.821405+6 4.450000-5 8.870442+6 4.570882-5 8.074434+6 4.720000-5 7.168098+6 4.850000-5 6.446202+6 5.011872-5 5.633630+6 5.188000-5 4.851665+6 5.370318-5 4.144116+6 5.527000-5 3.610513+6 5.688529-5 3.125466+6 5.850000-5 2.700256+6 6.025596-5 2.298207+6 6.165950-5 2.016978+6 6.350000-5 1.695691+6 6.531306-5 1.425593+6 6.683439-5 1.230188+6 6.850000-5 1.045019+6 7.000000-5 9.009588+5 7.161434-5 7.669353+5 7.350000-5 6.343512+5 7.500000-5 5.449080+5 7.737400-5 4.280585+5 8.035261-5 3.167793+5 8.450000-5 2.112646+5 8.650000-5 1.759300+5 8.810489-5 1.533272+5 8.950000-5 1.372417+5 9.070000-5 1.257278+5 9.190000-5 1.161170+5 9.300000-5 1.088002+5 9.400000-5 1.032620+5 9.500000-5 9.868152+4 9.610000-5 9.464112+4 9.680000-5 9.256590+4 9.772372-5 9.036532+4 9.850000-5 8.895306+4 9.950000-5 8.766912+4 1.005000-4 8.693328+4 1.015000-4 8.669136+4 1.025700-4 8.692385+4 1.040000-4 8.793414+4 1.055000-4 8.973636+4 1.071519-4 9.245787+4 1.090000-4 9.624678+4 1.110000-4 1.010402+5 1.150000-4 1.121106+5 1.205000-4 1.290223+5 1.244515-4 1.414173+5 1.280000-4 1.522597+5 1.318257-4 1.634221+5 1.350000-4 1.721609+5 1.390000-4 1.823459+5 1.430000-4 1.915213+5 1.479108-4 2.014586+5 1.531087-4 2.104284+5 1.584893-4 2.180159+5 1.640590-4 2.242754+5 1.705000-4 2.297707+5 1.760000-4 2.330349+5 1.840772-4 2.359324+5 1.905461-4 2.368815+5 1.995262-4 2.363713+5 2.089296-4 2.342097+5 2.190000-4 2.302163+5 2.300000-4 2.245723+5 2.426610-4 2.166772+5 2.540973-4 2.088854+5 2.691535-4 1.979506+5 2.851018-4 1.862909+5 3.019952-4 1.741706+5 3.198895-4 1.618097+5 3.388442-4 1.494362+5 3.630781-4 1.348369+5 3.890451-4 1.207621+5 4.168694-4 1.074519+5 4.466836-4 9.501539+4 4.841724-4 8.168576+4 5.248075-4 6.969175+4 5.688529-4 5.903630+4 6.165950-4 4.967898+4 6.760830-4 4.048556+4 7.413102-4 3.275322+4 8.128305-4 2.631255+4 9.000000-4 2.049666+4 9.885531-4 1.616981+4 1.096478-3 1.235563+4 1.216186-3 9.368532+3 1.348963-3 7.048891+3 1.496236-3 5.259562+3 1.659587-3 3.895273+3 1.840772-3 2.864631+3 2.113489-3 1.883924+3 2.344229-3 1.365967+3 2.570396-3 1.019426+3 2.818383-3 7.546057+2 3.126079-3 5.338517+2 3.548134-3 3.469083+2 4.000000-3 2.289297+2 4.518559-3 1.489016+2 5.128614-3 9.454371+1 5.821032-3 5.959998+1 6.531306-3 3.889579+1 7.413102-3 2.413311+1 8.413951-3 1.485750+1 9.549926-3 9.079634+0 1.096478-2 5.264419+0 1.258925-2 3.028740+0 1.445440-2 1.729538+0 1.659587-2 9.802621-1 1.927525-2 5.259715-1 2.264644-2 2.670128-1 2.722701-2 1.220393-1 3.349654-2 5.016908-2 4.315191-2 1.678834-2 7.328245-2 1.687521-3 9.225714-2 6.253969-4 1.096478-1 2.990950-4 1.273503-1 1.589354-4 1.445440-1 9.370551-5 1.640590-1 5.564617-5 1.840772-1 3.490647-5 2.041738-1 2.310255-5 2.264644-1 1.540411-5 2.483133-1 1.081614-5 2.722701-1 7.646157-6 2.985383-1 5.444352-6 3.273407-1 3.906361-6 3.548134-1 2.941209-6 3.845918-1 2.229223-6 4.168694-1 1.701720-6 4.518559-1 1.308605-6 4.897788-1 1.013649-6 5.308844-1 7.910706-7 5.754399-1 6.219762-7 6.237348-1 4.926475-7 6.760830-1 3.931001-7 7.328245-1 3.160084-7 7.943282-1 2.559393-7 8.609938-1 2.080777-7 9.120108-1 1.805992-7 9.660509-1 1.578004-7 1.023293+0 1.389516-7 1.096478+0 1.202063-7 1.174898+0 1.047860-7 1.273503+0 9.015181-8 1.428894+0 7.327128-8 1.717908+0 5.298565-8 1.905461+0 4.444512-8 2.113489+0 3.757242-8 2.454709+0 2.968902-8 2.851018+0 2.363790-8 3.198895+0 1.996198-8 3.715352+0 1.614830-8 4.365158+0 1.295331-8 5.128614+0 1.046814-8 6.165950+0 8.273812-9 7.413102+0 6.585411-9 9.225714+0 5.065184-9 1.161449+1 3.874291-9 1.500000+1 2.900300-9 2.000000+1 2.111500-9 2.691535+1 1.533011-9 3.935501+1 1.025912-9 6.531306+1 6.06327-10 1.288250+2 3.03055-10 2.570396+2 1.50772-10 1.023293+3 3.76571-11 6.456542+4 5.95584-13 1.000000+5 3.84650-13 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 8.790000-6 8.790000-6 1.000000+5 8.790000-6 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 8.790000-6 0.0 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 6.380000-6 1.463880+6 6.531306-6 1.299632+6 6.839116-6 1.018567+6 7.100000-6 8.312630+5 7.413102-6 6.535414+5 7.700000-6 5.254210+5 8.000000-6 4.190640+5 8.317638-6 3.301801+5 8.609938-6 2.653101+5 8.850000-6 2.216930+5 9.120108-6 1.810342+5 9.350000-6 1.522410+5 9.600000-6 1.259550+5 9.850000-6 1.040390+5 1.011579-5 8.472255+4 1.035142-5 7.046223+4 1.060000-5 5.786180+4 1.085000-5 4.731600+4 1.109175-5 3.882574+4 1.127000-5 3.348670+4 1.150000-5 2.759350+4 1.174898-5 2.230446+4 1.200000-5 1.794540+4 1.230269-5 1.377487+4 1.290000-5 8.246790+3 1.310000-5 7.020650+3 1.325000-5 6.266220+3 1.340000-5 5.638150+3 1.353000-5 5.186460+3 1.365000-5 4.839170+3 1.376000-5 4.574900+3 1.385000-5 4.394390+3 1.395000-5 4.228980+3 1.405000-5 4.098150+3 1.415000-5 3.999540+3 1.425000-5 3.930930+3 1.435000-5 3.890260+3 1.445440-5 3.875480+3 1.455000-5 3.885010+3 1.465000-5 3.916890+3 1.475000-5 3.969590+3 1.485000-5 4.041590+3 1.500000-5 4.182720+3 1.515000-5 4.359670+3 1.531087-5 4.584709+3 1.554900-5 4.975501+3 1.590000-5 5.653250+3 1.650000-5 7.007910+3 1.690000-5 7.996230+3 1.720000-5 8.762000+3 1.757924-5 9.744453+3 1.785000-5 1.044820+4 1.819701-5 1.134502+4 1.862087-5 1.242314+4 1.905461-5 1.349818+4 1.950000-5 1.456400+4 2.000000-5 1.570770+4 2.055000-5 1.689590+4 2.113489-5 1.807607+4 2.170000-5 1.913440+4 2.238721-5 2.031524+4 2.317395-5 2.153037+4 2.400000-5 2.265940+4 2.483133-5 2.365618+4 2.580000-5 2.465840+4 2.691535-5 2.562496+4 2.818383-5 2.651446+4 2.951209-5 2.724229+4 3.090295-5 2.781611+4 3.273407-5 2.833275+4 3.467369-5 2.865013+4 3.672823-5 2.879227+4 3.935501-5 2.875753+4 4.216965-5 2.852786+4 4.518559-5 2.812171+4 4.900000-5 2.744830+4 5.308844-5 2.660907+4 5.754399-5 2.561072+4 6.237348-5 2.447068+4 6.800000-5 2.311850+4 7.328245-5 2.185872+4 7.943282-5 2.043233+4 8.609938-5 1.895460+4 9.332543-5 1.746432+4 1.011579-4 1.598746+4 1.122018-4 1.415124+4 1.260000-4 1.223800+4 1.445440-4 1.021475+4 1.717908-4 8.065434+3 2.818383-4 4.035083+3 3.126079-4 3.475410+3 3.630781-4 2.779233+3 4.073803-4 2.325834+3 4.841724-4 1.761169+3 6.918310-4 9.822067+2 8.035261-4 7.627337+2 1.071519-3 4.626194+2 1.380384-3 2.960537+2 1.698244-3 2.041099+2 2.065380-3 1.426628+2 2.511886-3 9.893702+1 3.090295-3 6.658239+1 3.672823-3 4.752400+1 4.365158-3 3.367977+1 5.308844-3 2.261099+1 6.309573-3 1.579667+1 7.498942-3 1.095436+1 8.810489-3 7.729278+0 1.035142-2 5.415647+0 1.216186-2 3.767510+0 1.428894-2 2.601990+0 1.678804-2 1.783693+0 1.972423-2 1.213666+0 2.317395-2 8.196898-1 2.722701-2 5.495052-1 3.198895-2 3.656505-1 3.758374-2 2.415139-1 4.466836-2 1.536780-1 5.248075-2 1.000789-1 6.309573-2 6.082120-2 7.673615-2 3.555501-2 9.225714-2 2.128162-2 1.202264-1 1.008420-2 2.264644-1 1.673012-3 2.722701-1 9.982087-4 3.198895-1 6.398884-4 3.672823-1 4.402124-4 4.168694-1 3.147464-4 4.677351-1 2.336776-4 5.188000-1 1.799077-4 5.754399-1 1.394535-4 6.382635-1 1.088876-4 7.079458-1 8.567339-5 7.852356-1 6.793594-5 8.709636-1 5.429050-5 9.549926-1 4.480058-5 1.083927+0 3.474575-5 1.188600+0 2.900200-5 1.380384+0 2.188868-5 1.548817+0 1.774175-5 1.717908+0 1.478720-5 1.905461+0 1.241306-5 2.137962+0 1.030770-5 2.511886+0 8.006499-6 2.884032+0 6.491935-6 3.273407+0 5.395408-6 3.801894+0 4.369621-6 4.466836+0 3.508930-6 5.248075+0 2.838711-6 6.382635+0 2.213475-6 7.673615+0 1.764219-6 9.440609+0 1.377207-6 1.202264+1 1.040454-6 1.548817+1 7.818461-7 2.065380+1 5.696140-7 2.818383+1 4.077783-7 4.120975+1 2.731615-7 6.683439+1 1.654410-7 1.303167+2 8.368677-8 2.600160+2 4.163778-8 1.035142+3 1.039981-8 6.531306+4 1.64497-10 1.000000+5 1.07470-10 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 6.380000-6 6.380000-6 1.000000+5 6.380000-6 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 6.380000-6 0.0 1.000000+5 1.000000+5 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.120300-7 1.028750+0 1.120300-6 1.029500+0 1.533160-6 1.030100+0 1.928140-6 1.031000+0 2.638350-6 1.032000+0 3.609920-6 1.033200+0 5.056880-6 1.034000+0 6.207790-6 1.035300+0 8.426200-6 1.036640+0 1.120300-5 1.038200+0 1.511880-5 1.039700+0 1.964240-5 1.041500+0 2.613390-5 1.043800+0 3.627470-5 1.046400+0 5.046950-5 1.048300+0 6.283590-5 1.051200+0 8.523550-5 1.054080+0 1.120300-4 1.057700+0 1.527040-4 1.061100+0 1.986310-4 1.065100+0 2.629660-4 1.070400+0 3.668670-4 1.076200+0 5.070110-4 1.080600+0 6.331740-4 1.087100+0 8.530900-4 1.093710+0 1.120300-3 1.102600+0 1.553220-3 1.110700+0 2.025600-3 1.120600+0 2.709470-3 1.133300+0 3.767040-3 1.147500+0 5.200860-3 1.158200+0 6.463330-3 1.174100+0 8.639100-3 1.190110+0 1.120300-2 1.205100+0 1.394930-2 1.227500+0 1.867420-2 1.250000+0 2.412000-2 1.265600+0 2.825990-2 1.294900+0 3.675190-2 1.331800+0 4.858310-2 1.362600+0 5.925800-2 1.397000+0 7.190010-2 1.455800+0 9.505690-2 1.500000+0 1.138000-1 1.589800+0 1.558970-1 1.665000+0 1.951580-1 1.784700+0 2.641060-1 1.892300+0 3.310270-1 2.000000+0 4.002000-1 2.044000+0 4.285000-1 2.163500+0 5.060770-1 2.372600+0 6.434930-1 2.647100+0 8.234410-1 3.000000+0 1.049000+0 3.437500+0 1.314540+0 4.000000+0 1.633000+0 4.750000+0 2.020790+0 5.000000+0 2.141000+0 6.000000+0 2.581000+0 7.000000+0 2.975000+0 8.000000+0 3.329000+0 9.000000+0 3.650000+0 1.000000+1 3.945000+0 1.100000+1 4.215000+0 1.200000+1 4.464000+0 1.300000+1 4.693000+0 1.400000+1 4.904000+0 1.500000+1 5.100000+0 1.600000+1 5.283000+0 1.800000+1 5.619000+0 2.000000+1 5.919000+0 2.200000+1 6.192000+0 2.400000+1 6.440000+0 2.600000+1 6.667000+0 2.800000+1 6.874000+0 3.000000+1 7.065000+0 4.000000+1 7.840000+0 5.000000+1 8.414000+0 6.000000+1 8.862000+0 8.000000+1 9.522000+0 1.000000+2 9.992000+0 1.500000+2 1.074000+1 2.000000+2 1.119000+1 3.000000+2 1.171000+1 4.000000+2 1.201000+1 5.000000+2 1.220000+1 6.000000+2 1.235000+1 8.000000+2 1.253000+1 1.000000+3 1.266000+1 1.500000+3 1.283000+1 2.000000+3 1.293000+1 3.000000+3 1.303000+1 4.000000+3 1.309000+1 5.000000+3 1.312000+1 6.000000+3 1.315000+1 8.000000+3 1.318000+1 1.000000+4 1.320000+1 1.500000+4 1.323000+1 2.000000+4 1.324000+1 3.000000+4 1.326000+1 4.000000+4 1.327000+1 5.000000+4 1.327000+1 6.000000+4 1.328000+1 8.000000+4 1.328000+1 1.000000+5 1.328000+1 1 44000 7 8 1.017000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 4.415130-7 2.099900+0 1.034080-6 2.106600+0 1.438500-6 2.114000+0 1.990340-6 2.119500+0 2.477960-6 2.127900+0 3.360590-6 2.136250+0 4.415130-6 2.147000+0 6.053450-6 2.156900+0 7.862710-6 2.169000+0 1.049330-5 2.184500+0 1.458600-5 2.201800+0 2.018020-5 2.214800+0 2.514290-5 2.234200+0 3.382170-5 2.253680+0 4.415130-5 2.281500+0 6.184170-5 2.307000+0 8.122890-5 2.338200+0 1.092190-4 2.377400+0 1.512560-4 2.410200+0 1.923720-4 2.446800+0 2.447080-4 2.485900+0 3.081010-4 2.532900+0 3.943030-4 2.556430+0 4.415130-4 2.611900+0 5.629780-4 2.660400+0 6.806090-4 2.745300+0 9.109500-4 2.809000+0 1.103210-3 2.904500+0 1.421220-3 3.000000+0 1.774000-3 3.125000+0 2.287520-3 3.234400+0 2.783420-3 3.425800+0 3.748300-3 3.569300+0 4.545210-3 3.784700+0 5.842930-3 4.000000+0 7.238000-3 4.250000+0 8.943550-3 4.625000+0 1.162380-2 5.000000+0 1.441000-2 5.500000+0 1.823400-2 6.000000+0 2.211000-2 6.750000+0 2.788070-2 7.000000+0 2.978000-2 8.000000+0 3.721000-2 9.000000+0 4.432000-2 1.000000+1 5.108000-2 1.100000+1 5.747000-2 1.200000+1 6.350000-2 1.300000+1 6.918000-2 1.400000+1 7.459000-2 1.500000+1 7.971000-2 1.600000+1 8.457000-2 1.800000+1 9.358000-2 2.000000+1 1.018000-1 2.200000+1 1.093000-1 2.400000+1 1.162000-1 2.600000+1 1.226000-1 2.800000+1 1.285000-1 3.000000+1 1.340000-1 4.000000+1 1.568000-1 5.000000+1 1.741000-1 6.000000+1 1.878000-1 8.000000+1 2.085000-1 1.000000+2 2.236000-1 1.500000+2 2.487000-1 2.000000+2 2.644000-1 3.000000+2 2.837000-1 4.000000+2 2.953000-1 5.000000+2 3.033000-1 6.000000+2 3.091000-1 8.000000+2 3.171000-1 1.000000+3 3.225000-1 1.500000+3 3.304000-1 2.000000+3 3.350000-1 3.000000+3 3.399000-1 4.000000+3 3.428000-1 5.000000+3 3.446000-1 6.000000+3 3.458000-1 8.000000+3 3.475000-1 1.000000+4 3.486000-1 1.500000+4 3.500000-1 2.000000+4 3.508000-1 3.000000+4 3.516000-1 4.000000+4 3.521000-1 5.000000+4 3.524000-1 6.000000+4 3.526000-1 8.000000+4 3.528000-1 1.000000+5 3.530000-1 1 44000 7 8 1.017000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 44000 7 9 1.017000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 4.400000+1 1.000000+5 4.400000+1 5.000000+5 4.398700+1 1.000000+6 4.395700+1 1.500000+6 4.390900+1 2.000000+6 4.383800+1 2.500000+6 4.374900+1 3.000000+6 4.364200+1 3.500000+6 4.351520+1 4.000000+6 4.337500+1 4.500000+6 4.321900+1 5.000000+6 4.304800+1 5.687500+6 4.278530+1 6.156200+6 4.259520+1 6.500000+6 4.245050+1 6.718700+6 4.235520+1 7.000000+6 4.223200+1 7.500000+6 4.200270+1 8.250000+6 4.163990+1 8.500000+6 4.151820+1 9.000000+6 4.126700+1 1.000000+7 4.074400+1 1.125000+7 4.006700+1 1.187500+7 3.971940+1 1.250000+7 3.937100+1 1.437500+7 3.830000+1 1.500000+7 3.794100+1 1.687500+7 3.685510+1 1.750000+7 3.649700+1 2.000000+7 3.506600+1 2.250000+7 3.366330+1 2.500000+7 3.230800+1 2.875000+7 3.038990+1 3.000000+7 2.978600+1 3.500000+7 2.755710+1 4.000000+7 2.563300+1 4.750000+7 2.324580+1 5.000000+7 2.256700+1 5.500000+7 2.134900+1 6.000000+7 2.028400+1 6.750000+7 1.887840+1 7.000000+7 1.844700+1 7.750000+7 1.721140+1 8.000000+7 1.681600+1 8.750000+7 1.565980+1 9.000000+7 1.528500+1 9.750000+7 1.418840+1 1.000000+8 1.383400+1 1.062500+8 1.297170+1 1.144500+8 1.190940+1 1.187500+8 1.138480+1 1.214800+8 1.106380+1 1.250000+8 1.066500+1 1.500000+8 8.346300+0 1.625000+8 7.532160+0 1.718800+8 7.037980+0 1.750000+8 6.891660+0 1.859400+8 6.438860+0 2.000000+8 5.970700+0 2.125000+8 5.638050+0 2.312500+8 5.236190+0 2.375000+8 5.120710+0 2.500000+8 4.908700+0 2.718800+8 4.572440+0 2.859400+8 4.353680+0 2.964800+8 4.180840+0 3.000000+8 4.120900+0 3.500000+8 3.333200+0 3.812500+8 3.016910+0 3.937500+8 2.893790+0 4.000000+8 2.828100+0 4.125000+8 2.687390+0 4.234400+8 2.554380+0 4.425800+8 2.333450+0 4.750000+8 2.019190+0 4.784700+8 1.989340+0 4.928200+8 1.872610+0 5.000000+8 1.818000+0 5.179700+8 1.707860+0 5.330100+8 1.630940+0 5.569300+8 1.529670+0 5.856400+8 1.431160+0 6.000000+8 1.388200+0 6.437500+8 1.276280+0 6.718800+8 1.218530+0 7.000000+8 1.171500+0 8.000000+8 1.053100+0 8.250000+8 1.023880+0 8.687500+8 9.706180-1 9.261700+8 9.006390-1 1.000000+9 8.164000-1 1.089800+9 7.262950-1 1.165000+9 6.594540-1 1.248800+9 5.922040-1 1.311600+9 5.460190-1 1.358700+9 5.135310-1 1.375000+9 5.026530-1 1.429300+9 4.679110-1 1.500000+9 4.257000-1 1.589800+9 3.767980-1 1.665000+9 3.399480-1 1.748800+9 3.031640-1 1.838500+9 2.684450-1 1.946200+9 2.324870-1 2.000000+9 2.166400-1 2.139200+9 1.811730-1 2.272600+9 1.534910-1 2.443000+9 1.251520-1 2.602800+9 1.041380-1 2.825100+9 8.158380-2 3.097000+9 6.157470-2 3.334900+9 4.882600-2 3.543000+9 4.026150-2 3.907300+9 2.931720-2 4.385300+9 2.003000-2 5.000000+9 1.290000-2 5.750000+9 8.027630-3 7.437500+9 3.324100-3 8.000000+9 2.587200-3 1.00000+10 1.203900-3 1.20500+10 6.397030-4 1.41820+10 3.703480-4 1.71170+10 1.983180-4 2.01490+10 1.160220-4 2.26440+10 7.927120-5 2.74790+10 4.237020-5 3.20120+10 2.595600-5 4.05100+10 1.227180-5 4.79460+10 7.211930-6 6.09600+10 3.401130-6 8.04800+10 1.436470-6 1.00000+11 7.358500-7 1.34280+11 2.985580-7 1.77440+11 1.279600-7 2.63330+11 3.888440-8 3.75720+11 1.341850-8 6.61190+11 2.508380-9 1.48990+12 2.31548-10 4.26460+12 1.10139-11 1.00000+14 1.33140-15 5.62340+14 9.33688-18 7.49890+15 5.17601-21 1.00000+17 2.76640-24 1 44000 7 0 1.017000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 5.90000-12 1.000000+2 5.90000-10 1.000000+3 5.900000-8 1.000000+4 5.900000-6 1.000000+5 5.900000-4 5.000000+5 1.475000-2 1.000000+6 5.900000-2 1.500000+6 1.313000-1 2.000000+6 2.305000-1 2.500000+6 3.545000-1 3.000000+6 5.009000-1 3.500000+6 6.670920-1 4.000000+6 8.502000-1 4.500000+6 1.047370+0 5.000000+6 1.256000+0 5.687500+6 1.557120+0 6.156200+6 1.769450+0 6.500000+6 1.927550+0 6.718700+6 2.028860+0 7.000000+6 2.160000+0 7.500000+6 2.393830+0 8.250000+6 2.745550+0 8.500000+6 2.862460+0 9.000000+6 3.096100+0 1.000000+7 3.559000+0 1.125000+7 4.128920+0 1.187500+7 4.410410+0 1.250000+7 4.689700+0 1.437500+7 5.513050+0 1.500000+7 5.783000+0 1.687500+7 6.578950+0 1.750000+7 6.839800+0 2.000000+7 7.857000+0 2.250000+7 8.831010+0 2.500000+7 9.764600+0 2.875000+7 1.109970+1 3.000000+7 1.153100+1 3.500000+7 1.319860+1 4.000000+7 1.478200+1 4.750000+7 1.699610+1 5.000000+7 1.768500+1 5.500000+7 1.897530+1 6.000000+7 2.015000+1 6.750000+7 2.170380+1 7.000000+7 2.217300+1 7.750000+7 2.345900+1 8.000000+7 2.385500+1 8.750000+7 2.496270+1 9.000000+7 2.531200+1 9.750000+7 2.630360+1 1.000000+8 2.662100+1 1.062500+8 2.738240+1 1.144500+8 2.832080+1 1.187500+8 2.879070+1 1.214800+8 2.907840+1 1.250000+8 2.944400+1 1.500000+8 3.174000+1 1.625000+8 3.271220+1 1.718800+8 3.337710+1 1.750000+8 3.358560+1 1.859400+8 3.427960+1 2.000000+8 3.508100+1 2.125000+8 3.571670+1 2.312500+8 3.656600+1 2.375000+8 3.682720+1 2.500000+8 3.731100+1 2.718800+8 3.806620+1 2.859400+8 3.849730+1 2.964800+8 3.879380+1 3.000000+8 3.889100+1 3.500000+8 4.003300+1 3.812500+8 4.057620+1 3.937500+8 4.076070+1 4.000000+8 4.085100+1 4.125000+8 4.101160+1 4.234400+8 4.114860+1 4.425800+8 4.135960+1 4.750000+8 4.166110+1 4.784700+8 4.169040+1 4.928200+8 4.180670+1 5.000000+8 4.186100+1 5.179700+8 4.198510+1 5.330100+8 4.208070+1 5.569300+8 4.222050+1 5.856400+8 4.236820+1 6.000000+8 4.243800+1 6.437500+8 4.262310+1 6.718800+8 4.272870+1 7.000000+8 4.282800+1 8.000000+8 4.312100+1 8.250000+8 4.317980+1 8.687500+8 4.327880+1 9.261700+8 4.339310+1 1.000000+9 4.351800+1 1.089800+9 4.363170+1 1.165000+9 4.370960+1 1.248800+9 4.377320+1 1.311600+9 4.381700+1 1.358700+9 4.383940+1 1.375000+9 4.384670+1 1.429300+9 4.387040+1 1.500000+9 4.390000+1 1.589800+9 4.392100+1 1.665000+9 4.393770+1 1.748800+9 4.395250+1 1.838500+9 4.396200+1 1.946200+9 4.397280+1 2.000000+9 4.397800+1 2.139200+9 4.398340+1 2.272600+9 4.398830+1 2.443000+9 4.399410+1 2.602800+9 4.399920+1 2.825100+9 4.400350+1 3.097000+9 4.400290+1 3.334900+9 4.400250+1 3.543000+9 4.400210+1 3.907300+9 4.400150+1 4.385300+9 4.400080+1 5.000000+9 4.400000+1 5.750000+9 4.400000+1 7.437500+9 4.400000+1 8.000000+9 4.400000+1 1.00000+10 4.400000+1 1.20500+10 4.400000+1 1.41820+10 4.400000+1 1.71170+10 4.400000+1 2.01490+10 4.400000+1 2.26440+10 4.400000+1 2.74790+10 4.400000+1 3.20120+10 4.400000+1 4.05100+10 4.400000+1 4.79460+10 4.400000+1 6.09600+10 4.400000+1 8.04800+10 4.400000+1 1.00000+11 4.400000+1 1.34280+11 4.400000+1 1.77440+11 4.400000+1 2.63330+11 4.400000+1 3.75720+11 4.400000+1 6.61190+11 4.400000+1 1.48990+12 4.400000+1 4.26460+12 4.400000+1 1.00000+14 4.400000+1 5.62340+14 4.400000+1 7.49890+15 4.400000+1 1.00000+17 4.400000+1 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.331269-6 0.0 2.337007-6 2.928662-8 2.342745-6 5.795015-8 2.348483-6 1.058507-7 2.354221-6 1.784788-7 2.359959-6 2.778008-7 2.365698-6 3.991482-7 2.371436-6 5.294059-7 2.377174-6 6.481824-7 2.382912-6 7.325877-7 2.388650-6 7.643213-7 2.394388-6 7.361159-7 2.400126-6 6.544409-7 2.405864-6 5.370919-7 2.417341-6 2.845554-7 2.423079-6 1.836990-7 2.428817-6 1.094715-7 2.434555-6 6.022116-8 2.440293-6 3.058097-8 2.446031-6 0.0 2.697807-6 0.0 2.704447-6 2.795094-8 2.711088-6 5.530719-8 2.717728-6 1.010231-7 2.724368-6 1.703388-7 2.731008-6 2.651310-7 2.737649-6 3.809441-7 2.744289-6 5.052610-7 2.750929-6 6.186205-7 2.757570-6 6.991763-7 2.764210-6 7.294625-7 2.770850-6 7.025435-7 2.777491-6 6.245935-7 2.784131-6 5.125965-7 2.797412-6 2.715775-7 2.804052-6 1.753210-7 2.810692-6 1.044788-7 2.817332-6 5.747463-8 2.823973-6 2.918625-8 2.830613-6 0.0 3.036852-6 0.0 3.049933-6 1.666814+0 3.051801-6 1.902500+0 3.059276-6 3.475072+0 3.066751-6 5.859449+0 3.075160-6 9.617111+0 3.088124-6 1.677776+1 3.097585-6 2.162545+1 3.104592-6 2.411579+1 3.112286-6 2.500782+1 3.119666-6 2.395492+1 3.123118-6 2.290741+1 3.128212-6 2.207064+1 3.137738-6 1.935864+1 3.146128-6 1.837776+1 3.153526-6 1.953220+1 3.156449-6 2.074001+1 3.161274-6 2.343311+1 3.170762-6 3.121390+1 3.183849-6 4.336164+1 3.192916-6 4.900601+1 3.199576-6 5.064799+1 3.207611-6 4.836582+1 3.215972-6 4.204401+1 3.228070-6 2.913974+1 3.237647-6 1.888841+1 3.245332-6 1.219370+1 3.253017-6 7.266571+0 3.260702-6 3.997400+0 3.272230-6 1.016155+0 3.276073-6 0.0 4.133021-6 0.0 4.143194-6 2.74975-15 4.153367-6 5.44100-15 4.163540-6 9.93843-15 4.173713-6 1.67576-14 4.183885-6 2.60830-14 4.194058-6 3.74764-14 4.204231-6 4.97065-14 4.214404-6 6.08585-14 4.224577-6 6.87834-14 4.234750-6 7.17629-14 4.244923-6 6.91147-14 4.255096-6 6.14461-14 4.265269-6 5.04281-14 4.285615-6 2.67172-14 4.295787-6 1.72477-14 4.305960-6 1.02784-14 4.316133-6 5.65423-15 4.326306-6 2.87128-15 4.336479-6 0.0 4.803186-6 0.0 4.805587-6 3.766092-7 4.812106-6 2.920549-6 4.835795-6 6.878458-2 4.837296-6 7.597492-2 4.847639-6 2.046189-1 4.861109-6 4.079402-1 4.873015-6 6.789063-1 4.886835-6 1.125961+0 4.921410-6 2.545852+0 4.934485-6 2.949095+0 4.945078-6 3.131823+0 4.958130-6 3.090566+0 4.970014-6 2.833028+0 4.987263-6 2.185878+0 5.006668-6 1.358602+0 5.015989-6 9.985565-1 5.027812-6 6.342310-1 5.039705-6 3.684255-1 5.048994-6 2.206897-1 5.051611-6 1.870085-1 5.069471-6 4.753832-2 5.075424-6 0.0 5.368121-6 0.0 5.387940-6 6.82113-13 5.394546-6 9.06600-13 5.407759-6 1.65598-12 5.420972-6 2.79221-12 5.428836-6 3.71608-12 5.430017-6 5.934862-8 5.430554-6 1.265058-7 5.441270-6 6.359924-3 5.453626-6 3.450279-2 5.480473-6 1.416132+0 5.493896-6 2.565585+0 5.509119-6 4.610308+0 5.524293-6 7.396950+0 5.553102-6 1.363094+1 5.564945-6 1.579356+1 5.577985-6 1.730473+1 5.590247-6 1.768264+1 5.604152-6 1.666377+1 5.619464-6 1.416143+1 5.655997-6 6.354654+0 5.669359-6 4.084640+0 5.682344-6 2.457627+0 5.695247-6 1.370570+0 5.722094-6 8.389692-4 5.723796-6 1.212918-3 5.734659-6 1.071454-2 5.763109-6 8.113173-1 5.777333-6 1.480574+0 5.791774-6 2.511197+0 5.806811-6 3.985061+0 5.845370-6 8.650173+0 5.864769-6 1.026330+1 5.878791-6 1.067679+1 5.893244-6 1.034885+1 5.911343-6 9.043204+0 5.949210-6 5.359316+0 5.962134-6 4.254547+0 5.974616-6 3.354841+0 5.988731-6 2.559974+0 6.012881-6 1.439988+0 6.016961-6 1.238379+0 6.035058-6 8.705970-1 6.049384-6 6.269483-1 6.063709-6 4.416747-1 6.078340-6 3.137189-1 6.106749-6 1.610969-1 6.246289-6 1.490549-1 6.290003-6 1.414108-1 6.348703-6 1.362793-1 6.413136-6 1.341566-1 6.523495-6 1.216513-1 6.998960-6 9.014006-2 7.168565-6 8.096178-2 7.204429-6 3.260094-1 7.223072-6 5.440654-1 7.240495-6 8.489826-1 7.259435-6 1.305096+0 7.312183-6 2.806680+0 7.331699-6 3.139456+0 7.348751-6 3.214681+0 7.366317-6 3.052244+0 7.384306-6 2.672306+0 7.433233-6 1.248385+0 7.450877-6 8.294573-1 7.468522-6 5.209434-1 7.486166-6 3.159947-1 7.509913-6 1.483155-1 7.521455-6 1.079995-1 7.535103-6 1.580016-1 7.546882-6 2.092724-1 7.565367-6 3.349763-1 7.583852-6 5.245596-1 7.604081-6 8.191963-1 7.657791-6 1.811309+0 7.677431-6 2.073895+0 7.695915-6 2.182826+0 7.715555-6 2.117771+0 7.733577-6 1.915077+0 7.777944-6 1.146769+0 7.791660-6 9.436765-1 7.805668-6 7.680771-1 7.824153-6 6.333248-1 7.833332-6 6.116040-1 7.842638-6 6.096877-1 7.852068-6 6.391060-1 7.871113-6 7.441349-1 7.881764-6 8.290121-1 7.924716-6 1.289736+0 7.947296-6 1.433244+0 7.968722-6 1.431218+0 7.985387-6 1.349847+0 8.009858-6 1.110062+0 8.047837-6 6.611375-1 8.059495-6 5.394656-1 8.078627-6 3.942854-1 8.097758-6 3.035720-1 8.115842-6 2.756393-1 8.128370-6 2.960087-1 8.136020-6 3.219816-1 8.155405-6 4.145674-1 8.178798-6 6.225408-1 8.226346-6 1.123241+0 8.249464-6 1.355629+0 8.259554-6 1.445355+0 8.283872-6 1.593510+0 8.316654-6 1.646717+0 8.341880-6 1.583215+0 8.378420-6 1.384669+0 8.426823-6 1.067591+0 8.452335-6 9.479850-1 8.477058-6 8.990007-1 8.503642-6 9.064079-1 8.542213-6 1.004764+0 8.594274-6 1.206709+0 8.632719-6 1.256340+0 8.675226-6 1.204396+0 8.726295-6 1.131536+0 8.795168-6 1.141832+0 8.941897-6 1.238420+0 1.008872-5 1.599433+0 1.181124-5 2.305085+0 1.385000-5 3.255422+0 1.653890-5 4.783150+0 2.055193-5 7.533386+0 2.643008-5 1.179319+1 2.956994-5 1.336069+1 3.179436-5 1.388434+1 3.467599-5 1.378577+1 3.883318-5 1.243132+1 4.051302-5 1.165278+1 4.078725-5 1.251864+1 4.087950-5 1.312334+1 4.108074-5 2.081325+1 4.119394-5 2.778021+1 4.129456-5 3.632441+1 4.142345-5 5.043910+1 4.160992-5 7.291736+1 4.174972-5 8.522675+1 4.181191-5 8.806393+1 4.189388-5 8.893379+1 4.199927-5 8.392313+1 4.213424-5 7.025463+1 4.238880-5 3.851057+1 4.248942-5 2.841528+1 4.259004-5 2.115350+1 4.269066-5 1.635686+1 4.289190-5 1.045134+1 4.323741-5 1.033834+1 4.342354-5 1.070972+1 4.352989-5 1.109852+1 4.367718-5 1.204936+1 4.400283-5 1.526880+1 4.418571-5 1.927436+1 4.425637-5 2.080276+1 4.434721-5 2.300280+1 4.445552-5 2.654991+1 4.458788-5 3.235310+1 4.488452-5 4.722043+1 4.500184-5 5.067331+1 4.510814-5 5.114237+1 4.521367-5 4.874993+1 4.533234-5 4.297765+1 4.562744-5 2.449456+1 4.573574-5 1.896479+1 4.584405-5 1.488052+1 4.595236-5 1.215209+1 4.616897-5 8.775191+0 4.675878-5 8.540783+0 4.704556-5 8.749538+0 4.727546-5 9.295543+0 4.773525-5 1.112859+1 4.796515-5 1.147965+1 4.830999-5 1.099431+1 4.901766-5 9.336536+0 5.111460-5 8.522374+0 5.171962-5 8.755878+0 5.214382-5 8.937049+0 6.055072-5 5.601378+0 6.489291-5 4.247317+0 6.878449-5 3.303938+0 7.236807-5 2.633557+0 7.617925-5 2.091186+0 7.737400-5 1.974174+0 7.797859-5 2.008403+0 7.873700-5 2.146350+0 7.913397-5 2.124058+0 8.003408-5 1.864843+0 8.089901-5 1.794567+0 8.650000-5 1.483952+0 9.146396-5 1.321470+0 9.680000-5 1.240033+0 1.028750-4 1.226932+0 1.109175-4 1.290027+0 1.230933-4 1.474001+0 1.513561-4 1.964441+0 1.760000-4 2.293809+0 2.124746-4 2.592281+0 2.517295-4 2.722815+0 2.816303-4 2.760142+0 2.843653-4 2.915306+0 2.900715-4 3.427040+0 2.950000-4 3.609262+0 2.990000-4 3.797306+0 3.020000-4 4.135588+0 3.047000-4 4.658358+0 3.073999-4 5.446399+0 3.106497-4 6.778730+0 3.149497-4 9.086524+0 3.257554-4 1.538875+1 3.337625-4 1.895415+1 3.420000-4 2.151490+1 3.507519-4 2.319344+1 3.680000-4 2.443773+1 4.154137-4 2.456338+1 4.397083-4 2.402194+1 4.442099-4 2.500735+1 4.497112-4 2.805181+1 4.517183-4 2.807521+1 4.573426-4 2.559524+1 4.613901-4 2.528332+1 4.734559-4 2.734401+1 4.813932-4 2.613606+1 5.160577-4 2.567786+1 5.649217-4 2.421973+1 5.780570-4 2.457834+1 7.585775-4 1.893111+1 9.051639-4 1.547708+1 1.064986-3 1.267468+1 1.250518-3 1.029283+1 1.450000-3 8.430637+0 1.662692-3 6.969037+0 1.923708-3 5.655929+0 2.199164-3 4.650711+0 2.519920-3 3.794431+0 2.761972-3 3.306390+0 2.775610-3 3.487810+0 2.782294-3 3.660457+0 2.789510-3 3.975502+0 2.796927-3 4.472846+0 2.806953-3 5.451198+0 2.821192-3 7.250250+0 2.835310-3 9.008821+0 2.845712-3 9.950474+0 2.860025-3 1.062732+1 2.888597-3 1.080290+1 2.921596-3 1.100062+1 2.946281-3 1.198676+1 2.977031-3 1.353895+1 3.002438-3 1.391383+1 3.161788-3 1.314671+1 3.230816-3 1.420203+1 3.333474-3 1.378441+1 3.859259-3 1.103434+1 4.388132-3 9.034788+0 5.004378-3 7.341448+0 5.739850-3 5.881658+0 6.486670-3 4.802308+0 7.292146-3 3.946970+0 8.258002-3 3.193481+0 9.383519-3 2.563258+0 1.039726-2 2.143548+0 1.174369-2 1.730812+0 1.322768-2 1.401921+0 1.478526-2 1.148819+0 1.653273-2 9.394819-1 1.863672-2 7.561271-1 2.116156-2 5.995103-1 2.157251-2 5.865399-1 2.167054-2 6.123872-1 2.173654-2 6.634610-1 2.178976-2 7.408248-1 2.183899-2 8.528888-1 2.189734-2 1.047261+0 2.196565-2 1.364697+0 2.207566-2 2.025511+0 2.218465-2 2.685637+0 2.228903-2 3.146155+0 2.241184-2 3.414915+0 2.262919-2 3.484442+0 2.626632-2 2.745086+0 3.047665-2 2.148903+0 3.449172-2 1.741622+0 3.826653-2 1.453646+0 4.327012-2 1.172589+0 4.796081-2 9.747865-1 5.355118-2 7.993215-1 6.007855-2 6.470709-1 6.825184-2 5.109895-1 7.544015-2 4.234304-1 8.459668-2 3.411007-1 9.510468-2 2.728014-1 1.071557-1 2.171909-1 1.193226-1 1.765757-1 1.307920-1 1.479798-1 1.447143-1 1.217457-1 1.602345-1 1.001072-1 1.779166-1 8.182171-2 1.991126-1 6.598502-2 2.212348-1 5.403412-2 2.450671-1 4.460686-2 2.702056-1 3.723931-2 3.000000-1 3.078405-2 3.285057-1 2.616802-2 3.659880-1 2.168113-2 4.093776-1 1.794232-2 4.571184-1 1.499141-2 5.100743-1 1.264051-2 5.672180-1 1.079335-2 6.456542-1 8.998091-3 7.476838-1 7.428592-3 8.460380-1 6.395271-3 9.689356-1 5.505606-3 1.173413+0 4.492106-3 1.410753+0 3.684329-3 1.696098+0 3.021808-3 2.039158+0 2.478422-3 2.451607+0 2.032749-3 2.947480+0 1.667217-3 3.543651+0 1.367416-3 4.260405+0 1.121525-3 5.122134+0 9.198511-4 6.158159+0 7.544423-4 7.403736+0 6.187774-4 8.901248+0 5.075080-4 9.760024+0 4.596181-4 1.000000+1 9.311516-4 1 44000 7 0 1.017000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-4.388564+1 2.446031-6-4.246515+1 2.804052-6-4.020989+1 2.941786-6-3.724814+1 3.001853-6-3.397124+1 3.030360-6-3.062555+1 3.059276-6-2.366629+1 3.069321-6-2.117931+1 3.076795-6-2.003878+1 3.084971-6-2.004815+1 3.092913-6-2.165144+1 3.102490-6-2.553710+1 3.114620-6-3.205669+1 3.122177-6-3.482451+1 3.133550-6-3.631145+1 3.143261-6-3.457070+1 3.162174-6-2.717155+1 3.169890-6-2.665066+1 3.175630-6-2.806093+1 3.182107-6-3.163234+1 3.191022-6-4.037748+1 3.193679-6-4.388303+1 3.197393-6-3.994413+1 3.209247-6-2.385096+1 3.215972-6-1.659321+1 3.220503-6-1.304011+1 3.223237-6-1.126196+1 3.226179-6-9.871166+0 3.228070-6-9.229490+0 3.231883-6-8.532033+0 3.235485-6-8.339777+0 3.237647-6-8.607846+0 3.243411-6-9.785027+0 3.252177-6-1.306200+1 3.263344-6-1.798867+1 3.275593-6-2.255513+1 3.280251-6-2.462989+1 3.293494-6-2.790357+1 3.316195-6-3.117406+1 3.359832-6-3.457459+1 3.445905-6-3.769342+1 3.648204-6-4.042074+1 4.336479-6-4.294645+1 4.821461-6-4.408739+1 4.913256-6-4.324619+1 4.945078-6-4.437167+1 5.000400-6-4.237350+1 5.182960-6-4.443183+1 5.394546-6-4.180808+1 5.452974-6-3.925302+1 5.513675-6-3.457112+1 5.535009-6-3.454781+1 5.553102-6-3.641110+1 5.576031-6-4.151137+1 5.588166-6-4.438663+1 5.610400-6-3.843871+1 5.627776-6-3.545793+1 5.649018-6-3.419587+1 5.679504-6-3.599162+1 5.763544-6-4.397483+1 5.777333-6-4.434491+1 5.818281-6-4.261022+1 5.845370-6-4.383960+1 5.856705-6-4.442019+1 5.911343-6-3.724679+1 5.946702-6-3.559548+1 6.019223-6-3.718293+1 6.150138-6-4.009091+1 6.569012-6-4.214555+1 7.179694-6-4.427742+1 7.296391-6-4.489947+1 7.413635-6-4.173928+1 7.643949-6-4.417334+1 7.777944-6-4.243128+1 7.928250-6-4.346325+1 8.059495-6-4.285756+1 8.249464-6-4.411136+1 8.452335-6-4.332841+1 1.653890-5-4.558506+1 2.400000-5-4.481414+1 2.989063-5-4.136318+1 3.599067-5-3.317837+1 3.803879-5-2.903818+1 3.903660-5-2.581544+1 3.971406-5-2.229050+1 4.014563-5-1.868887+1 4.037740-5-1.578584+1 4.051302-5-1.340518+1 4.066260-5-1.008313+1 4.076232-5-7.216145+0 4.081218-5-5.455340+0 4.084584-5-4.052772+0 4.086267-5-3.253804+0 4.087109-5-2.800579+0 4.088760-5-1.698216+0 4.091189-5-4.382910-1 4.093682-5 6.814261-1 4.106346-5 5.737671+0 4.108074-5 6.596180+0 4.119394-5 1.148101+1 4.129456-5 1.462319+1 4.134959-5 1.530263+1 4.139681-5 1.544580+1 4.144676-5 1.456454+1 4.148500-5 1.324605+1 4.151623-5 1.177857+1 4.155722-5 9.280134+0 4.159015-5 6.703850+0 4.160030-5 5.763987+0 4.165978-5-5.331174-1 4.167224-5-1.918496+0 4.169094-5-4.139032+0 4.170496-5-5.986163+0 4.171435-5-7.417679+0 4.176519-5-1.463865+1 4.178665-5-1.835174+1 4.187566-5-3.253341+1 4.189388-5-2.898164+1 4.198823-5-1.399202+1 4.200610-5-1.116185+1 4.203010-5-7.966937+0 4.204970-5-5.611209+0 4.210851-5 9.388453-1 4.211727-5 1.943928+0 4.213424-5 3.571827+0 4.215015-5 4.912389+0 4.217905-5 7.014029+0 4.220526-5 8.608471+0 4.224828-5 1.065711+1 4.229658-5 1.216519+1 4.233693-5 1.276271+1 4.237583-5 1.263992+1 4.246426-5 1.032811+1 4.248942-5 9.200199+0 4.250200-5 8.520607+0 4.256803-5 5.686908+0 4.257903-5 5.136761+0 4.259004-5 4.462391+0 4.269066-5-6.611808-1 4.270324-5-1.381003+0 4.272525-5-2.425688+0 4.284159-5-7.309195+0 4.288561-5-9.519076+0 4.290669-5-1.090553+1 4.296023-5-1.327684+1 4.304294-5-1.606978+1 4.327729-5-2.213083+1 4.377297-5-3.194904+1 4.400823-5-2.749257+1 4.427440-5-2.381266+1 4.447773-5-2.135504+1 4.458788-5-2.105181+1 4.469017-5-2.242735+1 4.479917-5-2.558560+1 4.487181-5-2.916177+1 4.491469-5-3.170650+1 4.498342-5-2.691351+1 4.508294-5-1.944494+1 4.513093-5-1.553002+1 4.519017-5-1.115015+1 4.521367-5-9.210098+0 4.523588-5-7.723065+0 4.531267-5-2.996180+0 4.533234-5-1.964380+0 4.535079-5-1.125704+0 4.536808-5-4.223581-1 4.540050-5 7.183341-1 4.542886-5 1.550451+0 4.545369-5 2.163275+0 4.547540-5 2.615647+0 4.551341-5 3.223697+0 4.554192-5 3.525156+0 4.556330-5 3.659896+0 4.559537-5 3.696505+0 4.561140-5 3.622250+0 4.568159-5 2.752215+0 4.570867-5 2.350797+0 4.572221-5 2.095196+0 4.576282-5 1.086410+0 4.580344-5 2.245813-1 4.582374-5-2.502049-1 4.584405-5-8.429720-1 4.597291-5-4.268732+0 4.614287-5-8.075886+0 4.620103-5-9.805729+0 4.629042-5-1.155393+1 4.647534-5-1.405894+1 4.675878-5-1.683659+1 4.727546-5-2.045181+1 4.755614-5-2.142579+1 4.796515-5-2.098518+1 4.846804-5-2.044548+1 4.915200-5-2.145475+1 5.137176-5-2.381467+1 6.204215-5-2.461913+1 7.913397-5-2.735534+1 1.005000-4-2.939115+1 2.124746-4-3.238752+1 2.592000-4-3.543045+1 2.825479-4-3.868376+1 2.998800-4-4.254613+1 3.159495-4-4.803921+1 3.257554-4-4.779570+1 3.680000-4-3.648737+1 3.994016-4-3.144050+1 4.309557-4-2.818106+1 4.507059-4-2.740058+1 4.597365-4-2.775206+1 4.761570-4-2.559372+1 4.901978-4-2.413181+1 5.160577-4-2.123180+1 5.522701-4-1.868496+1 5.780570-4-1.769371+1 5.923323-4-1.640773+1 6.365352-4-1.403194+1 6.870791-4-1.210030+1 7.585775-4-1.019760+1 8.486917-4-8.594736+0 9.416739-4-7.546880+0 1.064986-3-6.714336+0 1.195764-3-6.245340+0 1.384363-3-5.994850+0 1.662692-3-6.137368+0 1.923708-3-6.614119+0 2.199164-3-7.478012+0 2.414610-3-8.563721+0 2.563931-3-9.761382+0 2.669280-3-1.112299+1 2.735623-3-1.254761+1 2.775610-3-1.405214+1 2.806953-3-1.625507+1 2.830743-3-1.788899+1 2.845712-3-1.797230+1 2.869684-3-1.662342+1 2.897095-3-1.502170+1 2.921596-3-1.448887+1 2.971067-3-1.452604+1 3.002438-3-1.322882+1 3.036964-3-1.163137+1 3.076990-3-1.050289+1 3.132693-3-9.649284+0 3.199036-3-9.435949+0 3.230816-3-8.759332+0 3.273813-3-7.610815+0 3.333474-3-6.567582+0 3.423364-3-5.478352+0 3.549000-3-4.369866+0 3.686847-3-3.475281+0 3.859259-3-2.653400+0 4.037328-3-2.024626+0 4.222990-3-1.534476+0 4.388132-3-1.194666+0 4.572265-3-8.920613-1 4.777269-3-6.338387-1 4.903684-3-5.037189-1 5.004378-3-4.140554-1 5.138828-3-3.113076-1 5.318584-3-2.001020-1 5.436414-3-1.408775-1 5.543616-3-9.413586-2 5.621414-3-6.516389-2 5.696443-3-3.917556-2 5.739850-3-2.501234-2 5.816860-3-1.608131-3 5.864267-3 1.126598-2 5.933619-3 2.783324-2 5.986694-3 3.995089-2 6.073479-3 5.672092-2 6.147560-3 6.926440-2 6.222197-3 7.847206-2 6.427147-3 9.822624-2 6.578915-3 1.075659-1 6.903515-3 1.139484-1 7.098142-3 1.107968-1 7.464960-3 9.354696-2 7.673615-3 7.942908-2 7.841064-3 6.539046-2 8.182690-3 3.166478-2 8.398080-3 7.799210-3 8.476165-3-1.114591-3 8.506597-3-4.552179-3 8.555899-3-1.041220-2 8.630508-3-1.966526-2 8.949319-3-5.820749-2 9.448508-3-1.206945-1 1.537021-2-9.177303-1 1.712971-2-1.192168+0 1.863672-2-1.494836+0 1.967738-2-1.789672+0 2.041738-2-2.095046+0 2.092708-2-2.407709+0 2.126916-2-2.722646+0 2.153305-2-3.107102+0 2.171667-2-3.567413+0 2.199326-2-4.512310+0 2.209865-2-4.601284+0 2.221859-2-4.354951+0 2.251187-2-3.245569+0 2.267209-2-2.833117+0 2.290648-2-2.439882+0 2.324317-2-2.054980+0 2.368096-2-1.704610+0 2.414822-2-1.426654+0 2.470724-2-1.174096+0 2.536445-2-9.492321-1 2.626632-2-7.191765-1 2.703728-2-5.658381-1 2.785180-2-4.364146-1 2.863352-2-3.328565-1 2.946373-2-2.424685-1 2.985383-2-2.062857-1 3.047665-2-1.553626-1 3.121496-2-1.032121-1 3.200489-2-5.545918-2 3.274251-2-1.789065-2 3.312137-2-1.052025-3 3.375058-2 2.718892-2 3.449172-2 5.369128-2 3.542015-2 8.160398-2 3.627562-2 1.021086-1 3.732846-2 1.236667-1 3.826653-2 1.382749-1 4.042992-2 1.630755-1 4.327012-2 1.804117-1 4.674723-2 1.859877-1 5.129892-2 1.774471-1 5.757210-2 1.551501-1 7.544015-2 7.617721-2 8.154089-2 5.183930-2 8.717543-2 3.144176-2 9.121863-2 1.778694-2 9.601117-2 2.871887-3 9.668207-2 8.401674-4 9.759042-2-1.880953-3 9.961057-2-7.707806-3 1.019633-1-1.420840-2 1.071557-1-2.752941-2 1.164224-1-4.857104-2 1.263912-1-6.805165-2 1.398521-1-8.970905-2 1.602345-1-1.151810-1 1.841225-1-1.372143-1 2.212348-1-1.608098-1 2.783973-1-1.828039-1 3.788240-1-2.023769-1 5.672180-1-2.167504-1 1.070165+0-2.257674-1 3.231848+0-2.288960-1 9.760024+0-2.292495-1 1.000000+1-2.291689-1 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 6.770731-3 1.093565-6 9.957805-3 1.127739-6 1.137871-2 1.162981-6 1.303314-2 1.199324-6 1.496333-2 1.236803-6 1.722003-2 1.275453-6 1.986433-2 1.315311-6 2.297019-2 1.356415-6 2.662736-2 1.398803-6 3.094536-2 1.442515-6 3.605843-2 1.487594-6 4.213200-2 1.534081-6 4.937107-2 1.582021-6 5.803038-2 1.630920-6 6.830291-2 1.678291-6 7.986255-2 1.724181-6 9.281402-2 1.768638-6 1.072624-1 1.811705-6 1.233168-1 1.853426-6 1.410907-1 1.893844-6 1.607021-1 1.932998-6 1.822734-1 1.970929-6 2.059346-1 2.077757-6 2.902224-1 2.111164-6 3.224304-1 2.143527-6 3.575814-1 2.174879-6 3.956234-1 2.205251-6 4.367107-1 2.234674-6 4.810101-1 2.263177-6 5.286942-1 2.290790-6 5.799404-1 2.317540-6 6.349318-1 2.368558-6 7.569083-1 2.416437-6 8.962107-1 2.439261-6 9.730841-1 2.461371-6 1.055487+0 2.504209-6 1.238666+0 2.544370-6 1.444084+0 2.582021-6 1.674281+0 2.617319-6 1.931353+0 2.650411-6 2.217579+0 2.681434-6 2.535131+0 2.710519-6 2.886135+0 2.737785-6 3.272711+0 2.763348-6 3.696963+0 2.787313-6 4.160953+0 2.809780-6 4.666685+0 2.830843-6 5.216079+0 2.850589-6 5.810943+0 2.869101-6 6.452956+0 2.886457-6 7.143638+0 2.902727-6 7.884328+0 2.917981-6 8.676162+0 2.932281-6 9.520054+0 2.945688-6 1.041668+1 2.958256-6 1.136650+1 2.970040-6 1.236978+1 2.981086-6 1.342661+1 2.991442-6 1.453684+1 3.001151-6 1.569989+1 3.010254-6 1.691467+1 3.018787-6 1.817953+1 3.026787-6 1.949247+1 3.041787-6 2.235188+1 3.054912-6 2.538678+1 3.066396-6 2.857557+1 3.076445-6 3.189540+1 3.085237-6 3.532250+1 3.092931-6 3.883261+1 3.099663-6 4.240039+1 3.105553-6 4.599831+1 3.110707-6 4.959570+1 3.119727-6 5.718515+1 3.126492-6 6.428076+1 3.131565-6 7.061736+1 3.139176-6 8.216330+1 3.142981-6 8.902971+1 3.146786-6 9.673888+1 3.150659-6 1.055389+2 3.158404-6 1.263637+2 3.174899-6 1.868646+2 3.180869-6 2.141969+2 3.185513-6 2.371399+2 3.189817-6 2.594329+2 3.197630-6 3.012961+2 3.198607-6 3.065586+2 3.205443-6 3.427461+2 3.208128-6 3.563603+2 3.213256-6 3.807626+2 3.217032-6 3.969893+2 3.218834-6 4.041082+2 3.221537-6 4.139444+2 3.224240-6 4.226976+2 3.227354-6 4.313577+2 3.231440-6 4.403334+2 3.235709-6 4.468265+2 3.237671-6 4.488679+2 3.242798-6 4.517142+2 3.245911-6 4.519840+2 3.261009-6 4.488650+2 3.265363-6 4.509169+2 3.269709-6 4.565453+2 3.272841-6 4.635035+2 3.275560-6 4.718882+2 3.278751-6 4.848457+2 3.281581-6 4.994119+2 3.284877-6 5.202578+2 3.288221-6 5.458494+2 3.290765-6 5.683614+2 3.295555-6 6.177726+2 3.300398-6 6.764930+2 3.311054-6 8.298278+2 3.316227-6 9.110085+2 3.320270-6 9.746913+2 3.324589-6 1.040840+3 3.327977-6 1.090030+3 3.330449-6 1.123801+3 3.334369-6 1.172693+3 3.338346-6 1.215265+3 3.342553-6 1.251269+3 3.345743-6 1.271698+3 3.353658-6 1.294599+3 3.355855-6 1.293713+3 3.361945-6 1.274996+3 3.365771-6 1.251562+3 3.369479-6 1.220958+3 3.373560-6 1.179215+3 3.377516-6 1.131776+3 3.381032-6 1.084805+3 3.384422-6 1.036079+3 3.389570-6 9.574339+2 3.393588-6 8.936754+2 3.398109-6 8.210876+2 3.401625-6 7.649521+2 3.409661-6 6.412143+2 3.412424-6 6.009618+2 3.417698-6 5.283282+2 3.423725-6 4.529522+2 3.431353-6 3.701147+2 3.445470-6 2.530840+2 3.449910-6 2.250533+2 3.454210-6 2.013507+2 3.458376-6 1.813050+2 3.462412-6 1.643287+2 3.466322-6 1.499165+2 3.470110-6 1.376400+2 3.477448-6 1.178419+2 3.484328-6 1.031391+2 3.490778-6 9.196961+1 3.496825-6 8.328643+1 3.502494-6 7.638667+1 3.507809-6 7.079420+1 3.517773-6 6.207648+1 3.526493-6 5.588060+1 3.534122-6 5.128178+1 3.540798-6 4.775865+1 3.552480-6 4.248538+1 3.561242-6 3.912733+1 3.574385-6 3.483657+1 3.587528-6 3.125234+1 3.596358-6 2.916180+1 3.605188-6 2.728413+1 3.614018-6 2.559027+1 3.631679-6 2.266164+1 3.649339-6 2.022575+1 3.667000-6 1.817440+1 3.684660-6 1.642807+1 3.702321-6 1.492734+1 3.728811-6 1.304108+1 3.755302-6 1.149700+1 3.780128-6 1.028932+1 3.811119-6 9.029494+0 3.840173-6 8.041456+0 3.867411-6 7.250437+0 3.892946-6 6.606894+0 3.916886-6 6.076010+0 3.939330-6 5.632216+0 3.981411-6 4.912592+0 4.018233-6 4.378833+0 4.078643-6 3.657027+0 4.164979-6 2.864177+0 4.286507-6 2.054558+0 4.370705-6 1.630763+0 4.423329-6 1.406682+0 4.486478-6 1.172899+0 4.653890-6 6.562921-1 4.693840-6 5.477099-1 4.728797-6 4.588575-1 4.759384-6 3.844977-1 4.786148-6 3.215469-1 4.809566-6 2.680616-1 4.830057-6 2.226676-1 4.847987-6 1.843552-1 4.863675-6 1.523633-1 4.877402-6 1.260784-1 4.889414-6 1.049506-1 4.899924-6 8.844363-2 4.909120-6 7.602112-2 4.917167-6 6.715515-2 4.924208-6 6.133877-2 4.930368-6 5.809458-2 4.935759-6 5.697861-2 4.940476-6 5.758237-2 4.944603-6 5.953480-2 4.948214-6 6.250456-2 4.951374-6 6.620199-2 4.956904-6 7.553401-2 4.961052-6 8.532057-2 4.964162-6 9.448341-2 4.966495-6 1.025022-1 4.969994-6 1.165734-1 4.973494-6 1.333696-1 4.978896-6 1.654339-1 4.994462-6 3.116118-1 5.001194-6 4.066532-1 5.006383-6 4.961058-1 5.014209-6 6.612428-1 5.020669-6 8.277542-1 5.025693-6 9.775651-1 5.028827-6 1.080351+0 5.040758-6 1.538106+0 5.045348-6 1.741671+0 5.053458-6 2.135278+0 5.058374-6 2.392416+0 5.062517-6 2.618082+0 5.066543-6 2.843551+0 5.070608-6 3.075751+0 5.075067-6 3.333545+0 5.079875-6 3.612123+0 5.084030-6 3.850738+0 5.089191-6 4.140658+0 5.094609-6 4.432777+0 5.099733-6 4.692823+0 5.103888-6 4.889289+0 5.110373-6 5.164906+0 5.114265-6 5.309660+0 5.126965-6 5.658391+0 5.129109-6 5.697161+0 5.139665-6 5.799403+0 5.143634-6 5.799750+0 5.147422-6 5.781117+0 5.152750-6 5.724662+0 5.158162-6 5.633078+0 5.164239-6 5.492516+0 5.167140-6 5.412624+0 5.173666-6 5.206186+0 5.175841-6 5.130036+0 5.181999-6 4.897725+0 5.188157-6 4.645231+0 5.197393-6 4.241220+0 5.203551-6 3.962980+0 5.210478-6 3.648610+0 5.212787-6 3.544540+0 5.221685-6 3.151817+0 5.228181-6 2.877438+0 5.237418-6 2.511552+0 5.248194-6 2.127082+0 5.264666-6 1.635119+0 5.285371-6 1.173738+0 5.295281-6 1.006159+0 5.304882-6 8.708256-1 5.314183-6 7.610702-1 5.323193-6 6.713999-1 5.340649-6 5.338732-1 5.357015-6 4.364843-1 5.372358-6 3.642449-1 5.413712-6 2.260094-1 5.437311-6 1.703763-1 5.520000-6 4.902652-2 5.540555-6 3.474006-2 5.556042-6 2.964687-2 5.567657-6 2.971216-2 5.576368-6 3.227936-2 5.582901-6 3.576661-2 5.592701-6 4.371596-2 5.597601-6 4.898496-2 5.602502-6 5.515292-2 5.614875-6 7.483992-2 5.618748-6 8.222108-2 5.630366-6 1.077564-1 5.638700-6 1.289922-1 5.642430-6 1.391962-1 5.645287-6 1.472699-1 5.653419-6 1.712956-1 5.659505-6 1.900353-1 5.669113-6 2.202221-1 5.673033-6 2.325132-1 5.676519-6 2.433252-1 5.681567-6 2.586418-1 5.685696-6 2.707438-1 5.688672-6 2.791623-1 5.692741-6 2.901731-1 5.696997-6 3.009707-1 5.701276-6 3.109663-1 5.705130-6 3.191393-1 5.708472-6 3.255294-1 5.713985-6 3.345302-1 5.720494-6 3.424829-1 5.725956-6 3.467707-1 5.729207-6 3.482493-1 5.734949-6 3.488677-1 5.740690-6 3.469399-1 5.743522-6 3.450650-1 5.749001-6 3.397563-1 5.754911-6 3.316686-1 5.757312-6 3.277286-1 5.768271-6 3.055265-1 5.774023-6 2.915660-1 5.778621-6 2.795462-1 5.784944-6 2.621250-1 5.791006-6 2.448515-1 5.797812-6 2.253156-1 5.805934-6 2.025818-1 5.823433-6 1.595548-1 5.829180-6 1.480692-1 5.834927-6 1.381597-1 5.836654-6 1.355028-1 5.842699-6 1.273998-1 5.847233-6 1.225455-1 5.848744-6 1.211577-1 5.862562-6 1.135113-1 5.878595-6 1.141599-1 5.884397-6 1.161669-1 5.892943-6 1.201269-1 5.902943-6 1.254234-1 5.911037-6 1.295681-1 5.921952-6 1.341427-1 5.927817-6 1.358891-1 5.936457-6 1.373916-1 5.942336-6 1.376621-1 5.950962-6 1.370068-1 5.958670-6 1.354810-1 5.961846-6 1.346325-1 5.973725-6 1.305867-1 5.985362-6 1.257521-1 6.003999-6 1.173729-1 6.023485-6 1.085325-1 6.029451-6 1.058043-1 6.045785-6 9.816430-2 6.074823-6 8.481230-2 6.081204-6 8.241847-2 6.086414-6 8.079486-2 6.090322-6 7.982806-2 6.093253-6 7.927029-2 6.097650-6 7.874406-2 6.102046-6 7.864462-2 6.109306-6 7.958401-2 6.112936-6 8.064698-2 6.116565-6 8.215584-2 6.123825-6 8.666511-2 6.127455-6 8.974333-2 6.131085-6 9.342297-2 6.145604-6 1.149563-1 6.150276-6 1.244972-1 6.164292-6 1.620746-1 6.177279-6 2.108080-1 6.203680-6 3.635684-1 6.222669-6 5.347092-1 6.259193-6 1.109490+0 6.277731-6 1.613679+0 6.283910-6 1.831930+0 6.293740-6 2.247496+0 6.302426-6 2.700410+0 6.313266-6 3.409144+0 6.324575-6 4.366288+0 6.339716-6 6.111977+0 6.364097-6 1.053542+1 6.376337-6 1.379187+1 6.386876-6 1.730812+1 6.398586-6 2.211703+1 6.408836-6 2.720274+1 6.417587-6 3.224993+1 6.440128-6 4.841592+1 6.445638-6 5.305915+1 6.457411-6 6.381350+1 6.463005-6 6.927921+1 6.477096-6 8.381932+1 6.482544-6 8.963892+1 6.494343-6 1.023347+2 6.500929-6 1.093237+2 6.506445-6 1.150336+2 6.513775-6 1.223077+2 6.521678-6 1.296008+2 6.528695-6 1.354595+2 6.535179-6 1.402518+2 6.539418-6 1.430192+2 6.547831-6 1.475646+2 6.554913-6 1.503303+2 6.560393-6 1.517621+2 6.568462-6 1.527019+2 6.573456-6 1.525761+2 6.588331-6 1.490349+2 6.593539-6 1.467215+2 6.605127-6 1.397702+2 6.611374-6 1.351004+2 6.616249-6 1.310683+2 6.623217-6 1.247982+2 6.629936-6 1.182850+2 6.636812-6 1.112577+2 6.642898-6 1.048253+2 6.648767-6 9.850924+1 6.650723-6 9.639099+1 6.659060-6 8.736466+1 6.664993-6 8.100823+1 6.673850-6 7.175817+1 6.680739-6 6.485125+1 6.695864-6 5.088185+1 6.697480-6 4.950192+1 6.721714-6 3.178014+1 6.739711-6 2.243090+1 6.745211-6 2.022680+1 6.753460-6 1.748258+1 6.757584-6 1.635934+1 6.761709-6 1.539932+1 6.765126-6 1.472604+1 6.766780-6 1.443962+1 6.769673-6 1.399952+1 6.771843-6 1.372010+1 6.775097-6 1.338161+1 6.778352-6 1.313888+1 6.786674-6 1.294566+1 6.788754-6 1.299166+1 6.791485-6 1.310827+1 6.795060-6 1.335629+1 6.811898-6 1.592222+1 6.814332-6 1.647547+1 6.828802-6 2.063560+1 6.847171-6 2.778701+1 6.855439-6 3.153921+1 6.862529-6 3.494558+1 6.869400-6 3.836390+1 6.876584-6 4.200695+1 6.884144-6 4.585436+1 6.891395-6 4.949326+1 6.896618-6 5.204884+1 6.904021-6 5.552786+1 6.911562-6 5.884212+1 6.914785-6 6.017317+1 6.923132-6 6.334404+1 6.929424-6 6.544011+1 6.934704-6 6.698460+1 6.942263-6 6.883286+1 6.948200-6 6.997130+1 6.961426-6 7.148677+1 6.968776-6 7.172048+1 6.976953-6 7.148608+1 6.982210-6 7.107261+1 6.990453-6 7.003702+1 6.999598-6 6.838336+1 7.008416-6 6.634944+1 7.011355-6 6.558750+1 7.019677-6 6.323498+1 7.027999-6 6.064025+1 7.040481-6 5.642152+1 7.044642-6 5.495596+1 7.057124-6 5.047050+1 7.061285-6 4.896492+1 7.077928-6 4.302253+1 7.092490-6 3.807306+1 7.105533-6 3.394412+1 7.122400-6 2.911799+1 7.164566-6 1.975574+1 7.173000-6 1.831954+1 7.189866-6 1.582327+1 7.197145-6 1.488650+1 7.211246-6 1.328292+1 7.224466-6 1.200206+1 7.236860-6 1.096785+1 7.248479-6 1.012314+1 7.272948-6 8.663333+0 7.289328-6 7.876178+0 7.306008-6 7.194010+0 7.338215-6 6.130288+0 7.357091-6 5.621861+0 7.389929-6 4.880830+0 7.422768-6 4.274288+0 7.459308-6 3.713407+0 7.495849-6 3.241968+0 7.623740-6 2.042303+0 7.678551-6 1.666772+0 7.756453-6 1.223145+0 7.863510-6 7.315392-1 7.902220-6 5.797537-1 7.921575-6 5.089606-1 7.951689-6 4.061657-1 7.960285-6 3.786537-1 7.979640-6 3.202504-1 7.998995-6 2.678590-1 8.018350-6 2.235959-1 8.037705-6 1.908009-1 8.057060-6 1.744728-1 8.076415-6 1.817028-1 8.086093-6 1.970265-1 8.095770-6 2.220078-1 8.108025-6 2.699890-1 8.114152-6 3.018352-1 8.122495-6 3.547071-1 8.134622-6 4.534443-1 8.153174-6 6.626142-1 8.163246-6 8.096104-1 8.182473-6 1.163328+0 8.192176-6 1.380343+0 8.194453-6 1.435098+0 8.205911-6 1.732479+0 8.211984-6 1.904596+0 8.220618-6 2.165716+0 8.231274-6 2.512441+0 8.239930-6 2.811239+0 8.250994-6 3.210586+0 8.258659-6 3.495049+0 8.266615-6 3.793564+0 8.271256-6 3.967780+0 8.279515-6 4.275279+0 8.285738-6 4.502489+0 8.293938-6 4.792369+0 8.300786-6 5.023189+0 8.310173-6 5.317913+0 8.321194-6 5.624050+0 8.330255-6 5.837212+0 8.334878-6 5.930976+0 8.342849-6 6.066948+0 8.351447-6 6.175092+0 8.358127-6 6.230308+0 8.367692-6 6.264386+0 8.374485-6 6.256236+0 8.378599-6 6.238340+0 8.390941-6 6.127557+0 8.400103-6 5.992620+0 8.405929-6 5.885165+0 8.410298-6 5.794274+0 8.416851-6 5.642556+0 8.423405-6 5.473974+0 8.430334-6 5.279487+0 8.439430-6 5.002836+0 8.448200-6 4.717859+0 8.451124-6 4.619779+0 8.461154-6 4.275027+0 8.468677-6 4.011353+0 8.476199-6 3.746606+0 8.483722-6 3.483594+0 8.491245-6 3.224936+0 8.511306-6 2.574068+0 8.516321-6 2.423408+0 8.531366-6 2.008118+0 8.553826-6 1.506904+0 8.564223-6 1.328161+0 8.567564-6 1.278187+0 8.573412-6 1.199581+0 8.582183-6 1.102877+0 8.590955-6 1.031573+0 8.606382-6 9.667562-1 8.627462-6 9.968980-1 8.630097-6 1.009668+0 8.648542-6 1.149218+0 8.656652-6 1.235597+0 8.674484-6 1.468688+0 8.691219-6 1.726762+0 8.698943-6 1.853553+0 8.710139-6 2.040832+0 8.719813-6 2.202109+0 8.729191-6 2.354395+0 8.734178-6 2.432685+0 8.744059-6 2.580236+0 8.753940-6 2.715250+0 8.765139-6 2.849956+0 8.775020-6 2.950536+0 8.796100-6 3.102758+0 8.806664-6 3.146603+0 8.815110-6 3.166695+0 8.823556-6 3.174308+0 8.834076-6 3.167857+0 8.842668-6 3.150948+0 8.849112-6 3.132277+0 8.863611-6 3.074792+0 8.884617-6 2.964445+0 8.913424-6 2.786634+0 8.935637-6 2.640888+0 8.954697-6 2.510588+0 8.976260-6 2.352917+0 8.992720-6 2.221540+0 9.003214-6 2.131707+0 9.019386-6 1.983534+0 9.025442-6 1.925140+0 9.036039-6 1.819591+0 9.043986-6 1.738083+0 9.055908-6 1.613240+0 9.067829-6 1.487137+0 9.080014-6 1.359407+0 9.084076-6 1.317553+0 9.100248-6 1.157205+0 9.127202-6 9.256572-1 9.141001-6 8.311290-1 9.148765-6 7.863945-1 9.155996-6 7.505607-1 9.163226-6 7.205166-1 9.192166-6 6.593974-1 9.198947-6 6.585559-1 9.206687-6 6.635528-1 9.212491-6 6.713161-1 9.221198-6 6.891004-1 9.225551-6 7.006208-1 9.229904-6 7.138041-1 9.243666-6 7.655941-1 9.249643-6 7.924316-1 9.259513-6 8.417431-1 9.297693-6 1.073727+0 9.308309-6 1.144344+0 9.326888-6 1.267531+0 9.340822-6 1.355981+0 9.351272-6 1.418135+0 9.359110-6 1.461610+0 9.370867-6 1.520678+0 9.382624-6 1.571142+0 9.391025-6 1.601272+0 9.403628-6 1.636360+0 9.413079-6 1.654290+0 9.419992-6 1.662726+0 9.439581-6 1.665185+0 9.450050-6 1.653963+0 9.456567-6 1.642872+0 9.466342-6 1.620804+0 9.476694-6 1.591080+0 9.483302-6 1.569153+0 9.495874-6 1.522301+0 9.505304-6 1.483840+0 9.526521-6 1.392218+0 9.560708-6 1.251540+0 9.581040-6 1.183860+0 9.592338-6 1.153523+0 9.606405-6 1.123599+0 9.614569-6 1.110226+0 9.624531-6 1.097732+0 9.639474-6 1.086272+0 9.654646-6 1.082349+0 9.671889-6 1.085192+0 9.691828-6 1.094846+0 9.748796-6 1.131016+0 9.787465-6 1.147702+0 9.858768-6 1.169475+0 9.904114-6 1.190856+0 1.002996-5 1.271944+0 1.011579-5 1.318707+0 1.031661-5 1.420798+0 1.047964-5 1.503483+0 1.061468-5 1.584440+0 1.089858-5 1.781278+0 1.112073-5 1.956832+0 1.135312-5 2.162616+0 1.238972-5 3.362895+0 1.277690-5 3.956686+0 1.318257-5 4.644114+0 1.376485-5 5.727839+0 1.445000-5 7.211665+0 1.535000-5 9.561896+0 1.617149-5 1.211735+1 1.698086-5 1.505981+1 1.825905-5 2.062908+1 1.985791-5 2.933739+1 2.107789-5 3.747844+1 2.264644-5 5.004219+1 2.426610-5 6.538458+1 2.580000-5 8.218752+1 2.713512-5 9.833419+1 2.851700-5 1.161849+2 2.953351-5 1.296993+2 3.028993-5 1.397859+2 3.112813-5 1.507989+2 3.157985-5 1.566398+2 3.225638-5 1.650971+2 3.330000-5 1.774936+2 3.367583-5 1.815893+2 3.488577-5 1.938328+2 3.727287-5 2.217825+2 3.801251-5 2.311826+2 3.866393-5 2.403583+2 3.937007-5 2.514098+2 3.989799-5 2.612415+2 4.049902-5 2.745371+2 4.089925-5 2.853356+2 4.131970-5 2.993434+2 4.169903-5 3.153592+2 4.201158-5 3.321707+2 4.226911-5 3.497525+2 4.241509-5 3.618733+2 4.254753-5 3.747168+2 4.266342-5 3.878386+2 4.285355-5 4.147554+2 4.299911-5 4.421102+2 4.311056-5 4.690341+2 4.320158-5 4.963718+2 4.332104-5 5.421101+2 4.341703-5 5.894558+2 4.347463-5 6.234772+2 4.358163-5 7.000805+2 4.363514-5 7.458124+2 4.368864-5 7.970435+2 4.376890-5 8.849387+2 4.390897-5 1.071941+3 4.407742-5 1.351721+3 4.414498-5 1.477902+3 4.425307-5 1.690252+3 4.427671-5 1.737620+3 4.436116-5 1.906500+3 4.442027-5 2.022090+3 4.446925-5 2.114461+3 4.453615-5 2.233264+3 4.460510-5 2.343860+3 4.467192-5 2.436645+3 4.473441-5 2.508306+3 4.478677-5 2.555800+3 4.483744-5 2.590038+3 4.489956-5 2.615461+3 4.496152-5 2.622066+3 4.500714-5 2.614824+3 4.511421-5 2.558152+3 4.515601-5 2.521537+3 4.521745-5 2.454026+3 4.528186-5 2.367262+3 4.532764-5 2.296773+3 4.537663-5 2.214350+3 4.541414-5 2.147048+3 4.546774-5 2.045713+3 4.553666-5 1.908896+3 4.559071-5 1.798530+3 4.565826-5 1.659434+3 4.572920-5 1.515006+3 4.575284-5 1.467750+3 4.587445-5 1.236266+3 4.596903-5 1.073946+3 4.620452-5 7.524508+2 4.630758-5 6.487085+2 4.637311-5 5.932112+2 4.647926-5 5.185374+2 4.655212-5 4.768894+2 4.667165-5 4.231150+2 4.695230-5 3.576038+2 4.703124-5 3.539668+2 4.706575-5 3.545253+2 4.720712-5 3.712384+2 4.727294-5 3.873049+2 4.729380-5 3.935302+2 4.737706-5 4.238696+2 4.740964-5 4.381308+2 4.748055-5 4.737524+2 4.756529-5 5.242709+2 4.773879-5 6.518475+2 4.785567-5 7.524595+2 4.796111-5 8.500030+2 4.802223-5 9.082686+2 4.810466-5 9.874916+2 4.816986-5 1.049677+3 4.822619-5 1.102343+3 4.830217-5 1.170687+3 4.838734-5 1.241889+3 4.846110-5 1.297265+3 4.853308-5 1.344224+3 4.855484-5 1.356848+3 4.864744-5 1.401334+3 4.870002-5 1.419360+3 4.877423-5 1.435152+3 4.883946-5 1.439319+3 4.887749-5 1.437499+3 4.893000-5 1.429884+3 4.900170-5 1.410228+3 4.906535-5 1.384364+3 4.912674-5 1.352653+3 4.921468-5 1.297331+3 4.929562-5 1.238327+3 4.936867-5 1.180450+3 4.945815-5 1.106219+3 4.960242-5 9.858692+2 4.989450-5 7.723993+2 4.998911-5 7.169447+2 5.005369-5 6.832060+2 5.016572-5 6.321938+2 5.023630-5 6.045401+2 5.032716-5 5.734205+2 5.048360-5 5.296244+2 5.069878-5 4.840232+2 5.107154-5 4.287556+2 5.133808-5 4.023561+2 5.144866-5 3.948731+2 5.157436-5 3.892203+2 5.171716-5 3.867546+2 5.184375-5 3.881100+2 5.192229-5 3.905097+2 5.201469-5 3.946570+2 5.220682-5 4.065257+2 5.247534-5 4.246132+2 5.260374-5 4.313209+2 5.267895-5 4.341946+2 5.279863-5 4.369019+2 5.291879-5 4.372460+2 5.306551-5 4.346990+2 5.320990-5 4.296653+2 5.337829-5 4.218159+2 5.377900-5 4.017042+2 5.416489-5 3.867234+2 5.440334-5 3.797828+2 5.538633-5 3.577407+2 5.570391-5 3.521595+2 5.590000-5 3.496422+2 5.607387-5 3.481893+2 5.636882-5 3.474239+2 5.693248-5 3.492519+2 5.733440-5 3.499153+2 5.763546-5 3.493924+2 5.931564-5 3.427559+2 6.021057-5 3.381255+2 6.224731-5 3.267036+2 6.545382-5 3.078177+2 6.953449-5 2.837100+2 7.429125-5 2.572423+2 7.807284-5 2.378593+2 8.100536-5 2.235541+2 8.222426-5 2.173590+2 8.394448-5 2.081225+2 8.424906-5 2.069922+2 8.486361-5 2.058179+2 8.571683-5 2.053545+2 8.642139-5 2.039065+2 8.826397-5 1.974168+2 9.645506-5 1.753400+2 1.020000-4 1.635199+2 1.085000-4 1.523868+2 1.135011-4 1.453654+2 1.180000-4 1.400829+2 1.230269-4 1.351895+2 1.280000-4 1.310129+2 1.364583-4 1.253442+2 1.462177-4 1.203705+2 1.548817-4 1.168462+2 1.833217-4 1.080363+2 1.950217-4 1.044526+2 2.026256-4 1.019245+2 2.125690-4 9.826945+1 2.264644-4 9.235555+1 2.344229-4 8.851062+1 2.417048-4 8.458020+1 2.511886-4 7.882407+1 2.592000-4 7.341008+1 2.650000-4 6.911048+1 2.707338-4 6.453031+1 2.771364-4 5.902998+1 2.838554-4 5.276119+1 2.894043-4 4.722573+1 2.945804-4 4.169564+1 2.980181-4 3.782177+1 3.007304-4 3.465133+1 3.053283-4 2.898025+1 3.071040-4 2.671885+1 3.113003-4 2.181947+1 3.122009-4 2.095844+1 3.134439-4 1.990878+1 3.150816-4 1.874338+1 3.184733-4 1.675480+1 3.197111-4 1.605509+1 3.226500-4 1.440879+1 3.237991-4 1.384706+1 3.245129-4 1.355104+1 3.253375-4 1.327805+1 3.259398-4 1.313572+1 3.265285-4 1.305143+1 3.272000-4 1.303109+1 3.277275-4 1.307901+1 3.283166-4 1.320687+1 3.288537-4 1.339889+1 3.295000-4 1.373535+1 3.298000-4 1.393395+1 3.304039-4 1.442214+1 3.308000-4 1.481081+1 3.313998-4 1.551093+1 3.318000-4 1.605772+1 3.325000-4 1.717937+1 3.331277-4 1.837709+1 3.340000-4 2.036872+1 3.349175-4 2.290850+1 3.355703-4 2.501345+1 3.368277-4 2.981299+1 3.395000-4 4.349045+1 3.405845-4 5.042759+1 3.420171-4 6.079035+1 3.431770-4 7.012790+1 3.441494-4 7.855947+1 3.456436-4 9.247692+1 3.467955-4 1.038915+2 3.472000-4 1.080222+2 3.483500-4 1.200584+2 3.495000-4 1.324510+2 3.508311-4 1.471140+2 3.516248-4 1.559637+2 3.525000-4 1.657750+2 3.537500-4 1.798174+2 3.544032-4 1.871424+2 3.561032-4 2.060706+2 3.581500-4 2.284214+2 3.595000-4 2.428100+2 3.614997-4 2.635172+2 3.635000-4 2.834370+2 3.658227-4 3.054909+2 3.680000-4 3.250592+2 3.700000-4 3.420592+2 3.723000-4 3.604157+2 3.744187-4 3.761649+2 3.776987-4 3.983696+2 3.815000-4 4.209559+2 3.850000-4 4.389234+2 3.875541-4 4.504905+2 3.900886-4 4.608560+2 3.929263-4 4.712676+2 3.979680-4 4.871478+2 4.015354-4 4.969896+2 4.062500-4 5.088533+2 4.118281-4 5.215625+2 4.221173-4 5.424537+2 4.297304-4 5.566138+2 4.380326-4 5.708612+2 4.470322-4 5.844221+2 4.549982-4 5.938701+2 4.710279-4 6.090873+2 4.731998-4 6.153560+2 4.759834-4 6.295808+2 4.782270-4 6.461644+2 4.793438-4 6.553439+2 4.829212-4 6.804590+2 4.839737-4 6.844466+2 4.851576-4 6.863140+2 4.863762-4 6.853412+2 4.877976-4 6.810574+2 4.916410-4 6.628473+2 4.931546-4 6.576907+2 4.946600-4 6.555218+2 4.965561-4 6.574939+2 4.985000-4 6.645023+2 5.026149-4 6.901090+2 5.061456-4 7.146332+2 5.084987-4 7.275579+2 5.101481-4 7.337904+2 5.119610-4 7.378066+2 5.194062-4 7.408983+2 5.226500-4 7.464617+2 5.360000-4 7.897596+2 5.465000-4 8.163455+2 5.559043-4 8.339519+2 5.675144-4 8.504492+2 5.800935-4 8.638665+2 6.011458-4 8.780473+2 6.058651-4 8.827673+2 6.108694-4 8.906753+2 6.262645-4 9.251687+2 6.322253-4 9.365255+2 6.413479-4 9.493995+2 6.553877-4 9.643365+2 6.720025-4 9.784008+2 7.110872-4 1.004047+3 7.454470-4 1.020139+3 7.692814-4 1.029096+3 7.915665-4 1.035255+3 8.655621-4 1.045777+3 9.344901-4 1.049622+3 1.013036-3 1.047910+3 1.136645-3 1.038231+3 1.178284-3 1.033109+3 1.366179-3 9.984262+2 1.498862-3 9.727837+2 1.657536-3 9.363322+2 1.737117-3 9.175985+2 1.913705-3 8.741713+2 2.007856-3 8.502882+2 2.100203-3 8.257094+2 2.205184-3 7.971666+2 2.299823-3 7.703862+2 2.391508-3 7.420071+2 2.470359-3 7.158949+2 2.536303-3 6.926495+2 2.601568-3 6.679209+2 2.654500-3 6.462135+2 2.700941-3 6.250833+2 2.741957-3 6.038665+2 2.775804-3 5.849289+2 2.807124-3 5.657681+2 2.830055-3 5.502503+2 2.854232-3 5.320368+2 2.872982-3 5.161345+2 2.893683-3 4.959981+2 2.910466-3 4.769040+2 2.922813-3 4.608933+2 2.937725-3 4.394241+2 2.964066-3 4.007518+2 2.974757-3 3.884285+2 2.978700-3 3.849039+2 2.986034-3 3.801738+2 2.991749-3 3.783155+2 2.995776-3 3.780259+2 3.002990-3 3.796328+2 3.011050-3 3.844946+2 3.018802-3 3.918106+2 3.030272-3 4.060518+2 3.049332-3 4.330066+2 3.059114-3 4.458647+2 3.067641-3 4.556785+2 3.076345-3 4.641377+2 3.086222-3 4.719008+2 3.096559-3 4.783613+2 3.122664-3 4.923082+2 3.134593-3 5.003231+2 3.150330-3 5.144604+2 3.165149-3 5.315265+2 3.198066-3 5.749441+2 3.211333-3 5.910484+2 3.223229-3 6.037251+2 3.236682-3 6.158521+2 3.253464-3 6.278904+2 3.272319-3 6.379567+2 3.293430-3 6.457406+2 3.311585-3 6.500887+2 3.357728-3 6.578379+2 3.370001-3 6.614993+2 3.390130-3 6.709781+2 3.420403-3 6.923910+2 3.450142-3 7.152130+2 3.464671-3 7.249627+2 3.482368-3 7.351166+2 3.506336-3 7.462334+2 3.533117-3 7.561012+2 3.562914-3 7.650470+2 3.603044-3 7.749343+2 3.676322-3 7.882265+2 3.754319-3 7.974791+2 3.845918-3 8.042922+2 3.989904-3 8.085751+2 4.181076-3 8.066956+2 4.394278-3 7.975338+2 4.647778-3 7.815206+2 4.899270-3 7.626849+2 5.289779-3 7.305054+2 5.698538-3 6.955125+2 6.241046-3 6.504275+2 6.926255-3 5.972415+2 7.690197-3 5.444543+2 8.664829-3 4.864677+2 9.618457-3 4.382805+2 1.057730-2 3.963573+2 1.160927-2 3.572590+2 1.255308-2 3.257035+2 1.349691-2 2.975784+2 1.455602-2 2.693612+2 1.566221-2 2.432537+2 1.686619-2 2.180545+2 1.812778-2 1.946462+2 1.919221-2 1.767818+2 2.004954-2 1.632861+2 2.070335-2 1.532497+2 2.120582-2 1.454722+2 2.159608-2 1.391960+2 2.192065-2 1.336129+2 2.219107-2 1.284510+2 2.232034-2 1.256815+2 2.243030-2 1.230710+2 2.252239-2 1.206380+2 2.264655-2 1.169264+2 2.283994-2 1.104060+2 2.296142-2 1.066082+2 2.304603-2 1.046324+2 2.311564-2 1.036427+2 2.316175-2 1.033549+2 2.320315-2 1.033550+2 2.326243-2 1.037670+2 2.335250-2 1.051957+2 2.346803-2 1.079646+2 2.365061-2 1.127501+2 2.374974-2 1.149350+2 2.388499-2 1.172102+2 2.403627-2 1.189188+2 2.425247-2 1.203492+2 2.453330-2 1.212354+2 2.483917-2 1.215163+2 2.537460-2 1.210355+2 2.592512-2 1.197528+2 2.648161-2 1.179922+2 2.746313-2 1.143169+2 2.870579-2 1.092915+2 3.032431-2 1.027189+2 3.265917-2 9.366906+1 3.541812-2 8.407687+1 3.868816-2 7.419643+1 4.267921-2 6.403845+1 4.850815-2 5.239214+1 5.279349-2 4.566121+1 5.816546-2 3.877989+1 6.936598-2 2.852475+1 8.959417-2 1.810117+1 1.138956-1 1.175682+1 1.409254-1 7.957478+0 1.725342-1 5.455306+0 2.203561-1 3.428457+0 2.962912-1 1.937423+0 4.327629-1 9.258194-1 6.512534-1 4.141946-1 1.120601+0 1.411050-1 2.947480+0 2.048403-2 8.901248+0 2.247557-3 2.688134+1 2.464583-4 8.118035+1 2.702383-5 2.451607+2 2.963107-6 7.403736+2 3.248983-7 2.511886+3 2.822599-8 7.943282+3 2.822599-9 2.511886+4 2.82260-10 7.943282+4 2.82260-11 1.000000+5 1.78094-11 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.218100-6 1.258900-6 1.930500-6 1.584900-6 3.059600-6 1.995300-6 4.849200-6 2.511900-6 7.685400-6 3.162300-6 1.218000-5 3.981100-6 1.930500-5 5.011900-6 3.059600-5 6.309600-6 4.849000-5 7.943300-6 7.685200-5 1.000000-5 1.218000-4 1.258900-5 1.930400-4 1.584900-5 3.058600-4 1.995300-5 4.845900-4 2.511900-5 7.677900-4 3.162300-5 1.216600-3 3.981100-5 1.927800-3 5.011900-5 3.054900-3 6.309600-5 4.841100-3 7.943300-5 7.663800-3 1.000000-4 1.212900-2 1.258900-4 1.920000-2 1.584900-4 3.034000-2 1.995300-4 4.790600-2 2.511900-4 7.544800-2 3.162300-4 1.184200-1 3.981100-4 1.848000-1 5.011900-4 2.853500-1 6.309600-4 4.344400-1 7.943300-4 6.487800-1 1.000000-3 9.458800-1 1.258900-3 1.341200+0 1.584900-3 1.848000+0 1.995300-3 2.482100+0 2.511900-3 3.259900+0 3.162300-3 4.190100+0 3.981100-3 5.279100+0 5.011900-3 6.543500+0 6.309600-3 7.996700+0 7.943300-3 9.609900+0 1.000000-2 1.129000+1 1.258900-2 1.294900+1 1.584900-2 1.456200+1 1.995300-2 1.610200+1 2.511900-2 1.745300+1 3.162300-2 1.863400+1 3.981100-2 1.963900+1 5.011900-2 2.026100+1 6.309600-2 2.053400+1 7.943300-2 2.046100+1 1.000000-1 2.006500+1 1.258900-1 1.943500+1 1.584900-1 1.858100+1 1.995300-1 1.756900+1 2.511900-1 1.644400+1 3.162300-1 1.525900+1 3.981100-1 1.405000+1 5.011900-1 1.284800+1 6.309600-1 1.167400+1 7.943300-1 1.054100+1 1.000000+0 9.460600+0 1.258900+0 8.436300+0 1.584900+0 7.475800+0 1.995300+0 6.582000+0 2.511900+0 5.758300+0 3.162300+0 5.006800+0 3.981100+0 4.327600+0 5.011900+0 3.719700+0 6.309600+0 3.180700+0 7.943300+0 2.706700+0 1.000000+1 2.293100+0 1.258900+1 1.934900+0 1.584900+1 1.626700+0 1.995300+1 1.363100+0 2.511900+1 1.138800+0 3.162300+1 9.487800-1 3.981100+1 7.885600-1 5.011900+1 6.539500-1 6.309600+1 5.412300-1 7.943300+1 4.471300-1 1.000000+2 3.687800-1 1.258900+2 3.037000-1 1.584900+2 2.497500-1 1.995300+2 2.051300-1 2.511900+2 1.682800-1 3.162300+2 1.379000-1 3.981100+2 1.129000-1 5.011900+2 9.233700-2 6.309600+2 7.545500-2 7.943300+2 6.161000-2 1.000000+3 5.026600-2 1.258900+3 4.098200-2 1.584900+3 3.338900-2 1.995300+3 2.718600-2 2.511900+3 2.212100-2 3.162300+3 1.799000-2 3.981100+3 1.462200-2 5.011900+3 1.187900-2 6.309600+3 9.645100-3 7.943300+3 7.827800-3 1.000000+4 6.349900-3 1.258900+4 5.148800-3 1.584900+4 4.173200-3 1.995300+4 3.381100-3 2.511900+4 2.738200-3 3.162300+4 2.216800-3 3.981100+4 1.794000-3 5.011900+4 1.451400-3 6.309600+4 1.173800-3 7.943300+4 9.489600-4 1.000000+5 7.669700-4 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510162-4 3.162278-4 3.159549-4 3.981072-4 3.976757-4 5.011872-4 5.005060-4 6.309573-4 6.298837-4 7.943282-4 7.926397-4 1.000000-3 9.973510-4 1.258925-3 1.254780-3 1.584893-3 1.578408-3 1.995262-3 1.985139-3 2.511886-3 2.496080-3 3.162278-3 3.137640-3 3.981072-3 3.942628-3 5.011872-3 4.951855-3 6.309573-3 6.215857-3 7.943282-3 7.797267-3 1.000000-2 9.773550-3 1.258925-2 1.223965-2 1.584893-2 1.531024-2 1.995262-2 1.912398-2 2.511886-2 2.384584-2 3.162278-2 2.967993-2 3.981072-2 3.686275-2 5.011872-2 4.566999-2 6.309573-2 5.643888-2 7.943282-2 6.953629-2 1.000000-1 8.544309-2 1.258925-1 1.045691-1 1.584893-1 1.276019-1 1.995262-1 1.551466-1 2.511886-1 1.880367-1 3.162278-1 2.271233-1 3.981072-1 2.734662-1 5.011872-1 3.282407-1 6.309573-1 3.928436-1 7.943282-1 4.689527-1 1.000000+0 5.583021-1 1.258925+0 6.637576-1 1.584893+0 7.880520-1 1.995262+0 9.351553-1 2.511886+0 1.109696+0 3.162278+0 1.317430+0 3.981072+0 1.565373+0 5.011872+0 1.862241+0 6.309573+0 2.218406+0 7.943282+0 2.646875+0 1.000000+1 3.163491+0 1.258925+1 3.787507+0 1.584893+1 4.542644+0 1.995262+1 5.457808+0 2.511886+1 6.568561+0 3.162278+1 7.918498+0 3.981072+1 9.561038+0 5.011872+1 1.156182+1 6.309573+1 1.400146+1 7.943282+1 1.697907+1 1.000000+2 2.061632+1 1.258925+2 2.506373+1 1.584893+2 3.050538+1 1.995262+2 3.716861+1 2.511886+2 4.533374+1 3.162278+2 5.534632+1 3.981072+2 6.763080+1 5.011872+2 8.271413+1 6.309573+2 1.012435+2 7.943282+2 1.240197+2 1.000000+3 1.520291+2 1.258925+3 1.864940+2 1.584893+3 2.289198+2 1.995262+3 2.811751+2 2.511886+3 3.455654+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88239-10 1.995262-5 1.090729-9 2.511886-5 1.728658-9 3.162278-5 2.739722-9 3.981072-5 4.342129-9 5.011872-5 6.881674-9 6.309573-5 1.090630-8 7.943282-5 1.727983-8 1.000000-4 2.738092-8 1.258925-4 4.339184-8 1.584893-4 6.873182-8 1.995262-4 1.088781-7 2.511886-4 1.724007-7 3.162278-4 2.728339-7 3.981072-4 4.314812-7 5.011872-4 6.812136-7 6.309573-4 1.073671-6 7.943282-4 1.688570-6 1.000000-3 2.649026-6 1.258925-3 4.145255-6 1.584893-3 6.485096-6 1.995262-3 1.012359-5 2.511886-3 1.580604-5 3.162278-3 2.463767-5 3.981072-3 3.844408-5 5.011872-3 6.001684-5 6.309573-3 9.371687-5 7.943282-3 1.460158-4 1.000000-2 2.264504-4 1.258925-2 3.496066-4 1.584893-2 5.386917-4 1.995262-2 8.286461-4 2.511886-2 1.273022-3 3.162278-2 1.942846-3 3.981072-2 2.947965-3 5.011872-2 4.448733-3 6.309573-2 6.656859-3 7.943282-2 9.896532-3 1.000000-1 1.455691-2 1.258925-1 2.132343-2 1.584893-1 3.088747-2 1.995262-1 4.437963-2 2.511886-1 6.315190-2 3.162278-1 8.910443-2 3.981072-1 1.246410-1 5.011872-1 1.729465-1 6.309573-1 2.381138-1 7.943282-1 3.253755-1 1.000000+0 4.416979-1 1.258925+0 5.951678-1 1.584893+0 7.968412-1 1.995262+0 1.060107+0 2.511886+0 1.402191+0 3.162278+0 1.844848+0 3.981072+0 2.415699+0 5.011872+0 3.149631+0 6.309573+0 4.091168+0 7.943282+0 5.296407+0 1.000000+1 6.836509+0 1.258925+1 8.801747+0 1.584893+1 1.130629+1 1.995262+1 1.449481+1 2.511886+1 1.855030+1 3.162278+1 2.370428+1 3.981072+1 3.024968+1 5.011872+1 3.855691+1 6.309573+1 4.909428+1 7.943282+1 6.245375+1 1.000000+2 7.938368+1 1.258925+2 1.008288+2 1.584893+2 1.279839+2 1.995262+2 1.623576+2 2.511886+2 2.058549+2 3.162278+2 2.608815+2 3.981072+2 3.304764+2 5.011872+2 4.184731+2 6.309573+2 5.297139+2 7.943282+2 6.703085+2 1.000000+3 8.479709+2 1.258925+3 1.072431+3 1.584893+3 1.355973+3 1.995262+3 1.714087+3 2.511886+3 2.166321+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.560000-6 1.564650+6 6.683439-6 1.427083+6 7.000000-6 1.122060+6 7.328245-6 8.779325+5 7.600000-6 7.188720+5 7.943282-6 5.601033+5 8.222426-6 4.581629+5 8.511380-6 3.725618+5 8.810489-6 3.010694+5 9.120108-6 2.416044+5 9.440609-6 1.923411+5 9.700000-6 1.598270+5 9.810000-6 1.476311+5 9.810000-6 5.915551+6 9.930000-6 5.962583+6 1.011579-5 6.036843+6 1.020000-5 6.079776+6 1.024000-5 6.100223+6 1.024000-5 9.821823+6 1.047129-5 1.000385+7 1.060000-5 1.010602+7 1.070000-5 1.019270+7 1.071519-5 1.020703+7 1.096478-5 1.044368+7 1.109175-5 1.056497+7 1.122018-5 1.069506+7 1.135011-5 1.082722+7 1.148154-5 1.096876+7 1.161449-5 1.111257+7 1.172000-5 1.123189+7 1.190000-5 1.143645+7 1.216186-5 1.173627+7 1.244515-5 1.206340+7 1.273503-5 1.241841+7 1.350000-5 1.336991+7 1.364583-5 1.355353+7 1.372000-5 1.364856+7 1.390000-5 1.387993+7 1.405000-5 1.407356+7 1.415000-5 1.420303+7 1.428894-5 1.438345+7 1.440000-5 1.452810+7 1.450000-5 1.465866+7 1.462177-5 1.481804+7 1.470000-5 1.492067+7 1.480000-5 1.505213+7 1.490000-5 1.518387+7 1.500000-5 1.531590+7 1.511000-5 1.546146+7 1.522000-5 1.560736+7 1.535000-5 1.578023+7 1.548817-5 1.596447+7 1.560000-5 1.611396+7 1.575000-5 1.631502+7 1.590000-5 1.651667+7 1.610000-5 1.678645+7 1.630000-5 1.705728+7 1.660000-5 1.746542+7 1.717908-5 1.825958+7 1.737801-5 1.852980+7 1.778279-5 1.908229+7 1.819701-5 1.965130+7 1.860000-5 2.020834+7 1.900000-5 2.076455+7 1.935000-5 2.125388+7 1.980000-5 2.188660+7 2.020000-5 2.245234+7 2.041738-5 2.276107+7 2.070000-5 2.314724+7 2.113489-5 2.374375+7 2.170000-5 2.452292+7 2.230000-5 2.535512+7 2.264644-5 2.583789+7 2.300000-5 2.629969+7 2.371374-5 2.723496+7 2.426610-5 2.796149+7 2.454709-5 2.831126+7 2.540973-5 2.934514+7 2.580000-5 2.981330+7 2.610000-5 3.014839+7 2.630268-5 3.036248+7 2.691535-5 3.100872+7 2.730000-5 3.137588+7 2.818383-5 3.215748+7 2.851018-5 3.240810+7 2.851700-5 3.241333+7 2.917427-5 3.287004+7 2.951209-5 3.306573+7 2.985383-5 3.323795+7 3.019952-5 3.341104+7 3.054921-5 3.353982+7 3.126079-5 3.373830+7 3.162278-5 3.378717+7 3.235937-5 3.381657+7 3.273407-5 3.378037+7 3.300000-5 3.373251+7 3.330000-5 3.367904+7 3.350000-5 3.361753+7 3.427678-5 3.332063+7 3.450000-5 3.320989+7 3.500000-5 3.292053+7 3.507519-5 3.287759+7 3.548134-5 3.259826+7 3.610000-5 3.212865+7 3.650000-5 3.177932+7 3.715352-5 3.116705+7 3.730000-5 3.101588+7 3.758374-5 3.072683+7 3.801894-5 3.025841+7 3.850000-5 2.970638+7 3.900000-5 2.911527+7 3.950000-5 2.849402+7 4.000000-5 2.786337+7 4.030000-5 2.746534+7 4.120975-5 2.625522+7 4.150000-5 2.585916+7 4.229500-5 2.476832+7 4.265795-5 2.426312+7 4.315191-5 2.356991+7 4.350000-5 2.309791+7 4.400000-5 2.240753+7 4.466836-5 2.149562+7 4.518559-5 2.079092+7 4.610000-5 1.958268+7 4.650000-5 1.906182+7 4.731513-5 1.802478+7 4.800000-5 1.718202+7 4.850000-5 1.658156+7 4.954502-5 1.536990+7 5.011872-5 1.473529+7 5.128614-5 1.350262+7 5.150000-5 1.328542+7 5.300000-5 1.183686+7 5.308844-5 1.175597+7 5.432503-5 1.066433+7 5.450000-5 1.052018+7 5.478000-5 1.028333+7 5.478000-5 1.255729+7 5.530000-5 1.212006+7 5.590000-5 1.162830+7 5.623413-5 1.135974+7 5.650000-5 1.114215+7 5.740000-5 1.043030+7 5.800000-5 9.979045+6 5.850000-5 9.607386+6 5.884000-5 9.360736+6 5.884000-5 1.041021+7 5.888437-5 1.037872+7 5.940000-5 1.002246+7 5.956621-5 9.909205+6 5.960000-5 9.885557+6 6.000000-5 9.608022+6 6.070000-5 9.139973+6 6.095369-5 8.975362+6 6.150000-5 8.624525+6 6.165950-5 8.523990+6 6.237348-5 8.086613+6 6.260000-5 7.950393+6 6.309573-5 7.659303+6 6.382635-5 7.249029+6 6.400000-5 7.154841+6 6.456542-5 6.853312+6 6.500000-5 6.630691+6 6.580000-5 6.235956+6 6.650000-5 5.908582+6 6.683439-5 5.758669+6 6.760830-5 5.425479+6 6.850000-5 5.063414+6 6.918310-5 4.801839+6 6.950000-5 4.686172+6 7.000000-5 4.507464+6 7.079458-5 4.237895+6 7.150000-5 4.013980+6 7.161434-5 3.978468+6 7.350000-5 3.440159+6 7.400000-5 3.309887+6 7.413102-5 3.276661+6 7.500000-5 3.067777+6 7.673615-5 2.691049+6 7.852356-5 2.358094+6 7.900000-5 2.277634+6 7.943282-5 2.206646+6 8.080000-5 2.002445+6 8.128305-5 1.935631+6 8.150000-5 1.906233+6 8.222426-5 1.813356+6 8.317638-5 1.700762+6 8.400000-5 1.610154+6 8.413951-5 1.595684+6 8.511380-5 1.498921+6 8.650000-5 1.375632+6 8.810489-5 1.252016+6 8.834000-5 1.235266+6 8.852000-5 1.222782+6 8.852000-5 1.393254+6 8.900000-5 1.361684+6 8.950000-5 1.330784+6 9.070000-5 1.262376+6 9.120108-5 1.235660+6 9.150000-5 1.220400+6 9.300000-5 1.151550+6 9.332543-5 1.138014+6 9.400000-5 1.110621+6 9.450000-5 1.091913+6 9.549926-5 1.057596+6 9.580000-5 1.047687+6 9.660509-5 1.023031+6 9.680000-5 1.017451+6 9.720000-5 1.006494+6 9.800000-5 9.857271+5 9.850000-5 9.735671+5 9.900000-5 9.619559+5 9.950000-5 9.512029+5 1.000000-4 9.413171+5 1.005000-4 9.319945+5 1.010000-4 9.230878+5 1.011579-4 9.204214+5 1.015000-4 9.146272+5 1.020000-4 9.065137+5 1.023293-4 9.016184+5 1.025000-4 8.992284+5 1.030000-4 8.925257+5 1.035142-4 8.860708+5 1.040000-4 8.802710+5 1.045000-4 8.746825+5 1.050000-4 8.693750+5 1.055000-4 8.646150+5 1.059254-4 8.607784+5 1.060000-4 8.601611+5 1.065000-4 8.563346+5 1.071519-4 8.516522+5 1.075000-4 8.493871+5 1.080000-4 8.463380+5 1.083927-4 8.440985+5 1.085000-4 8.434752+5 1.096478-4 8.379644+5 1.100000-4 8.364304+5 1.110000-4 8.331985+5 1.115000-4 8.319512+5 1.124000-4 8.301371+5 1.128000-4 8.294644+5 1.135011-4 8.286070+5 1.148154-4 8.279696+5 1.150000-4 8.279449+5 1.170000-4 8.291716+5 1.174898-4 8.296617+5 1.180000-4 8.305366+5 1.198000-4 8.342900+5 1.202264-4 8.353132+5 1.220000-4 8.396000+5 1.230269-4 8.424747+5 1.260000-4 8.524711+5 1.273503-4 8.575821+5 1.280000-4 8.601135+5 1.303167-4 8.690072+5 1.318257-4 8.752388+5 1.348963-4 8.878292+5 1.350000-4 8.882482+5 1.364583-4 8.938050+5 1.380384-4 9.002058+5 1.390000-4 9.040578+5 1.412538-4 9.120608+5 1.430000-4 9.185881+5 1.450000-4 9.254264+5 1.462177-4 9.296744+5 1.465000-4 9.306261+5 1.500000-4 9.410840+5 1.531087-4 9.490537+5 1.548817-4 9.538110+5 1.600000-4 9.640518+5 1.640590-4 9.701770+5 1.650000-4 9.715145+5 1.659587-4 9.727007+5 1.678804-4 9.742293+5 1.705000-4 9.763828+5 1.720000-4 9.773618+5 1.737801-4 9.779950+5 1.760000-4 9.785991+5 1.780000-4 9.788197+5 1.819701-4 9.782888+5 1.820000-4 9.782818+5 1.850000-4 9.771455+5 1.862087-4 9.763418+5 1.883649-4 9.747716+5 1.927525-4 9.710835+5 1.950000-4 9.687159+5 1.972423-4 9.660842+5 2.000000-4 9.626282+5 2.018366-4 9.600097+5 2.065380-4 9.524070+5 2.089296-4 9.486517+5 2.113489-4 9.444596+5 2.150000-4 9.378149+5 2.162719-4 9.354216+5 2.187762-4 9.303423+5 2.190000-4 9.298843+5 2.238721-4 9.195015+5 2.264644-4 9.140205+5 2.300000-4 9.061128+5 2.344229-4 8.960216+5 2.371374-4 8.897517+5 2.400000-4 8.826674+5 2.454709-4 8.689540+5 2.500000-4 8.578325+5 2.511886-4 8.548194+5 2.540973-4 8.472894+5 2.570396-4 8.396092+5 2.600160-4 8.318991+5 2.650000-4 8.187057+5 2.691535-4 8.076774+5 2.754229-4 7.914204+5 2.760000-4 7.899225+5 2.786121-4 7.829122+5 2.800000-4 7.791987+5 2.917427-4 7.484162+5 2.951209-4 7.397173+5 3.000000-4 7.270972+5 3.019952-4 7.219533+5 3.090295-4 7.042115+5 3.126079-4 6.952273+5 3.179600-4 6.819394+5 3.179600-4 7.845280+5 3.190000-4 7.822398+5 3.204000-4 7.797692+5 3.215000-4 7.786057+5 3.223000-4 7.783282+5 3.230000-4 7.785905+5 3.230300-4 7.786263+5 3.230300-4 8.513051+5 3.238000-4 8.520416+5 3.241000-4 8.526200+5 3.245000-4 8.535326+5 3.252000-4 8.558734+5 3.258000-4 8.588349+5 3.263000-4 8.618906+5 3.264000-4 8.625639+5 3.271000-4 8.682091+5 3.272000-4 8.691563+5 3.273407-4 8.705790+5 3.277000-4 8.742805+5 3.280000-4 8.777903+5 3.283000-4 8.815607+5 3.287000-4 8.872380+5 3.290000-4 8.918265+5 3.294900-4 9.003082+5 3.295000-4 9.004848+5 3.298000-4 9.060718+5 3.302000-4 9.144509+5 3.308000-4 9.282006+5 3.310000-4 9.332934+5 3.311311-4 9.368110+5 3.316000-4 9.498213+5 3.318000-4 9.558764+5 3.325000-4 9.789026+5 3.328000-4 9.896652+5 3.333000-4 1.009239+6 3.340000-4 1.039496+6 3.343000-4 1.053576+6 3.347000-4 1.073434+6 3.355000-4 1.117133+6 3.363000-4 1.166397+6 3.365000-4 1.179699+6 3.370000-4 1.213755+6 3.380000-4 1.289612+6 3.390000-4 1.374034+6 3.395000-4 1.418878+6 3.400000-4 1.466689+6 3.411700-4 1.585300+6 3.422100-4 1.699187+6 3.423000-4 1.709558+6 3.427678-4 1.762428+6 3.433000-4 1.825804+6 3.435000-4 1.849546+6 3.440000-4 1.910029+6 3.448000-4 2.008826+6 3.450000-4 2.034233+6 3.458000-4 2.134948+6 3.461000-4 2.173764+6 3.468000-4 2.262950+6 3.472000-4 2.315136+6 3.476000-4 2.365977+6 3.483000-4 2.456626+6 3.485000-4 2.481854+6 3.495000-4 2.609652+6 3.504000-4 2.720998+6 3.507519-4 2.764754+6 3.508000-4 2.770802+6 3.515000-4 2.855414+6 3.519000-4 2.903253+6 3.527000-4 2.996743+6 3.530000-4 3.031446+6 3.535000-4 3.086832+6 3.545000-4 3.196791+6 3.548134-4 3.230030+6 3.558000-4 3.332670+6 3.569000-4 3.439696+6 3.573000-4 3.477947+6 3.580000-4 3.541423+6 3.590000-4 3.629814+6 3.595000-4 3.671556+6 3.600000-4 3.711318+6 3.610000-4 3.792353+6 3.620000-4 3.865046+6 3.630781-4 3.941307+6 3.635000-4 3.969131+6 3.650000-4 4.062776+6 3.657000-4 4.103448+6 3.673000-4 4.190081+6 3.680000-4 4.224501+6 3.700000-4 4.316234+6 3.715352-4 4.373247+6 3.723000-4 4.401915+6 3.730000-4 4.425585+6 3.750000-4 4.483278+6 3.758374-4 4.504437+6 3.780000-4 4.548467+6 3.795600-4 4.574682+6 3.815000-4 4.598662+6 3.830000-4 4.611987+6 3.850000-4 4.622861+6 3.865000-4 4.626577+6 3.890451-4 4.626136+6 3.900000-4 4.623541+6 3.935501-4 4.605882+6 3.950000-4 4.595604+6 3.981072-4 4.566999+6 4.000000-4 4.549732+6 4.027170-4 4.520512+6 4.050000-4 4.496178+6 4.100000-4 4.437457+6 4.168694-4 4.353755+6 4.265795-4 4.240309+6 4.280000-4 4.224133+6 4.315191-4 4.182061+6 4.365158-4 4.121299+6 4.430000-4 4.044643+6 4.466836-4 3.998911+6 4.570882-4 3.868708+6 4.600000-4 3.833505+6 4.623810-4 3.803243+6 4.631200-4 3.793914+6 4.700000-4 3.704987+6 4.786301-4 3.598023+6 4.850000-4 3.519236+6 4.946600-4 3.401737+6 4.946600-4 3.706418+6 4.954502-4 3.700469+6 4.981000-4 3.681017+6 4.985000-4 3.681303+6 5.000000-4 3.671335+6 5.011872-4 3.661920+6 5.045500-4 3.635897+6 5.143000-4 3.546812+6 5.150000-4 3.540116+6 5.188000-4 3.503027+6 5.201500-4 3.489755+6 5.201500-4 3.588460+6 5.207000-4 3.588293+6 5.211000-4 3.587918+6 5.216000-4 3.587077+6 5.223000-4 3.585303+6 5.230000-4 3.582974+6 5.237000-4 3.580235+6 5.245000-4 3.576585+6 5.248075-4 3.574973+6 5.258000-4 3.569065+6 5.272000-4 3.560055+6 5.285000-4 3.551136+6 5.300000-4 3.540298+6 5.315000-4 3.528967+6 5.335000-4 3.513211+6 5.360000-4 3.492693+6 5.370318-4 3.483881+6 5.385000-4 3.471289+6 5.410000-4 3.449236+6 5.432503-4 3.429013+6 5.435000-4 3.426693+6 5.450000-4 3.412451+6 5.465000-4 3.397709+6 5.500000-4 3.363007+6 5.559043-4 3.303181+6 5.580000-4 3.282238+6 5.688529-4 3.175196+6 5.754399-4 3.111114+6 5.800000-4 3.067131+6 5.821032-4 3.046764+6 5.888437-4 2.982890+6 5.956621-4 2.920381+6 6.100000-4 2.795505+6 6.159500-4 2.744673+6 6.159500-4 2.865737+6 6.165950-4 2.860170+6 6.237348-4 2.799318+6 6.309573-4 2.738792+6 6.350000-4 2.705779+6 6.382635-4 2.679470+6 6.606934-4 2.509058+6 6.700000-4 2.442190+6 6.760830-4 2.399973+6 6.839116-4 2.346664+6 6.918310-4 2.294607+6 7.000000-4 2.242372+6 7.079458-4 2.193289+6 7.161434-4 2.143395+6 7.413102-4 1.998266+6 7.498942-4 1.951942+6 7.500000-4 1.951382+6 7.585776-4 1.906735+6 7.673615-4 1.861632+6 7.852356-4 1.773867+6 8.000000-4 1.706107+6 8.200000-4 1.620101+6 8.222426-4 1.610845+6 8.317638-4 1.572425+6 8.413951-4 1.534490+6 8.511380-4 1.497170+6 8.709636-4 1.425174+6 8.810489-4 1.390317+6 8.850000-4 1.377008+6 9.015711-4 1.323182+6 9.120108-4 1.290786+6 9.225714-4 1.258440+6 9.332543-4 1.226725+6 9.549926-4 1.165795+6 9.772372-4 1.107856+6 1.000000-3 1.052936+6 1.011579-3 1.026165+6 1.023293-3 9.999250+5 1.035142-3 9.743875+5 1.071519-3 9.016691+5 1.096478-3 8.562974+5 1.109175-3 8.343045+5 1.110000-3 8.328939+5 1.122018-3 8.127282+5 1.135011-3 7.915745+5 1.161449-3 7.508268+5 1.202264-3 6.937436+5 1.216186-3 6.756131+5 1.244515-3 6.404070+5 1.258925-3 6.234436+5 1.273503-3 6.069327+5 1.288250-3 5.908863+5 1.333521-3 5.453811+5 1.355400-3 5.250512+5 1.380384-3 5.029748+5 1.396368-3 4.894579+5 1.412538-3 4.763192+5 1.450000-3 4.478019+5 1.462177-3 4.390745+5 1.479108-3 4.272631+5 1.500000-3 4.132665+5 1.513561-3 4.045397+5 1.531087-3 3.935811+5 1.548817-3 3.828672+5 1.584893-3 3.623488+5 1.603245-3 3.525220+5 1.621810-3 3.429163+5 1.630000-3 3.387854+5 1.659587-3 3.244502+5 1.678804-3 3.156104+5 1.698244-3 3.069619+5 1.717908-3 2.985231+5 1.778279-3 2.746413+5 1.798871-3 2.670721+5 1.800000-3 2.666661+5 1.819701-3 2.597058+5 1.883649-3 2.387715+5 1.900000-3 2.338176+5 1.905461-3 2.321855+5 1.972423-3 2.133825+5 2.000000-3 2.062359+5 2.041738-3 1.960297+5 2.089296-3 1.852668+5 2.113489-3 1.801100+5 2.162719-3 1.701570+5 2.187762-3 1.653981+5 2.238721-3 1.562277+5 2.290868-3 1.475499+5 2.344229-3 1.393692+5 2.371374-3 1.354376+5 2.398833-3 1.316099+5 2.400000-3 1.314507+5 2.426610-3 1.278856+5 2.454709-3 1.242464+5 2.483133-3 1.207020+5 2.511886-3 1.172623+5 2.576800-3 1.099887+5 2.600160-3 1.075294+5 2.660725-3 1.015065+5 2.691535-3 9.860665+4 2.710800-3 9.685282+4 2.722701-3 9.578300+4 2.754229-3 9.302776+4 2.818383-3 8.774322+4 2.884032-3 8.275112+4 2.951209-3 7.805258+4 3.000000-3 7.487712+4 3.004500-3 7.459278+4 3.004500-3 2.560043+5 3.025000-3 2.518905+5 3.054921-3 2.460504+5 3.120000-3 2.339598+5 3.151500-3 2.280230+5 3.151500-3 3.144624+5 3.162278-3 3.117428+5 3.198895-3 3.027446+5 3.235937-3 2.940079+5 3.273407-3 2.855251+5 3.311311-3 2.771140+5 3.349654-3 2.691418+5 3.388442-3 2.613966+5 3.391200-3 2.608469+5 3.391200-3 2.993889+5 3.400000-3 2.974897+5 3.427678-3 2.916168+5 3.507519-3 2.755671+5 3.548134-3 2.678867+5 3.589219-3 2.604250+5 3.630781-3 2.530405+5 3.700000-3 2.413438+5 3.758374-3 2.319592+5 3.801894-3 2.252940+5 3.845918-3 2.188164+5 3.890451-3 2.125259+5 3.900000-3 2.112106+5 3.935501-3 2.064193+5 4.000000-3 1.980528+5 4.027170-3 1.946715+5 4.073803-3 1.890298+5 4.168694-3 1.782458+5 4.216965-3 1.730526+5 4.315191-3 1.631221+5 4.415704-3 1.537552+5 4.466836-3 1.492791+5 4.518559-3 1.449368+5 4.570882-3 1.407165+5 4.623810-3 1.366224+5 4.677351-3 1.326500+5 4.800000-3 1.241407+5 4.841724-3 1.213937+5 4.954502-3 1.143726+5 5.011872-3 1.110096+5 5.069907-3 1.077535+5 5.128614-3 1.045957+5 5.188000-3 1.015325+5 5.248075-3 9.854492+4 5.308844-3 9.564769+4 5.370318-3 9.282252+4 5.432503-3 9.008019+4 5.559043-3 8.479877+4 5.623413-3 8.227676+4 5.688529-3 7.983172+4 5.754399-3 7.746072+4 5.821032-3 7.516201+4 5.956621-3 7.075531+4 6.025596-3 6.865204+4 6.095369-3 6.658395+4 6.165950-3 6.457855+4 6.237348-3 6.263466+4 6.300000-3 6.099577+4 6.382635-3 5.890964+4 6.500000-3 5.611514+4 6.531306-3 5.540112+4 6.606934-3 5.372680+4 6.760830-3 5.053202+4 6.839116-3 4.900855+4 6.918310-3 4.752937+4 7.000000-3 4.606818+4 7.079458-3 4.470067+4 7.244360-3 4.201966+4 7.328245-3 4.074169+4 7.413102-3 3.950342+4 7.498942-3 3.830364+4 7.673615-3 3.601473+4 7.762471-3 3.492248+4 7.800000-3 3.447479+4 7.852356-3 3.386009+4 7.943282-3 3.281804+4 8.222426-3 2.987593+4 8.413951-3 2.806657+4 8.511380-3 2.720444+4 8.609938-3 2.636940+4 8.709636-3 2.556075+4 8.810489-3 2.477753+4 8.912509-3 2.401843+4 9.015711-3 2.328231+4 9.120108-3 2.256681+4 9.332543-3 2.119284+4 9.500000-3 2.019063+4 9.549926-3 1.990245+4 9.660509-3 1.928421+4 9.772372-3 1.868562+4 9.885531-3 1.810605+4 1.000000-2 1.754491+4 1.011579-2 1.700136+4 1.023293-2 1.647454+4 1.035142-2 1.596254+4 1.047129-2 1.546680+4 1.059254-2 1.498686+4 1.071519-2 1.452183+4 1.083927-2 1.406895+4 1.096478-2 1.363058+4 1.109175-2 1.320615+4 1.135011-2 1.239321+4 1.150000-2 1.195290+4 1.202264-2 1.057602+4 1.216186-2 1.024468+4 1.230269-2 9.923937+3 1.244515-2 9.612320+3 1.273503-2 9.018208+3 1.303167-2 8.459043+3 1.318257-2 8.192785+3 1.380384-2 7.210143+3 1.400000-2 6.933972+3 1.412538-2 6.763799+3 1.428894-2 6.550382+3 1.462177-2 6.143887+3 1.479108-2 5.950232+3 1.500000-2 5.720923+3 1.513561-2 5.578574+3 1.531087-2 5.401523+3 1.603245-2 4.749113+3 1.621810-2 4.599042+3 1.640590-2 4.453845+3 1.659587-2 4.312256+3 1.678804-2 4.175279+3 1.700000-2 4.031045+3 1.737801-2 3.790153+3 1.757924-2 3.669285+3 1.798871-2 3.438698+3 1.862087-2 3.120364+3 1.883649-2 3.021110+3 1.905461-2 2.925085+3 1.949845-2 2.741004+3 1.972423-2 2.653460+3 2.000000-2 2.551660+3 2.018366-2 2.486747+3 2.041738-2 2.407287+3 2.089296-2 2.255523+3 2.113489-2 2.183195+3 2.187762-2 1.980162+3 2.238721-2 1.854764+3 2.290868-2 1.737484+3 2.317395-2 1.681721+3 2.319100-2 1.678221+3 2.319100-2 1.085200+4 2.344229-2 1.059674+4 2.345000-2 1.058905+4 2.382000-2 1.018611+4 2.400000-2 9.977314+3 2.426610-2 9.679076+3 2.500000-2 8.982466+3 2.511886-2 8.869736+3 2.540973-2 8.601563+3 2.630268-2 7.844958+3 2.660725-2 7.607914+3 2.691535-2 7.382803+3 2.722701-2 7.164395+3 2.754229-2 6.952445+3 2.818383-2 6.547165+3 2.851018-2 6.353519+3 2.917427-2 5.983156+3 2.951209-2 5.805962+3 3.054921-2 5.292706+3 3.162278-2 4.824893+3 3.198895-2 4.678372+3 3.235937-2 4.536299+3 3.273407-2 4.398531+3 3.349654-2 4.135454+3 3.427678-2 3.888172+3 3.715352-2 3.119683+3 3.758374-2 3.023113+3 3.801894-2 2.929540+3 3.890451-2 2.750935+3 3.935501-2 2.665770+3 4.027170-2 2.503293+3 4.073803-2 2.425720+3 4.168694-2 2.277735+3 4.216965-2 2.207174+3 4.265795-2 2.138786+3 4.315191-2 2.071415+3 4.415704-2 1.942993+3 4.466836-2 1.881807+3 4.518559-2 1.822539+3 4.570882-2 1.765142+3 4.731513-2 1.603592+3 4.841724-2 1.504083+3 4.954502-2 1.410763+3 5.248075-2 1.200469+3 5.308844-2 1.162341+3 5.623413-2 9.890794+2 5.688529-2 9.576270+2 6.025596-2 8.130653+2 6.237348-2 7.370459+2 6.309573-2 7.133223+2 6.382635-2 6.903628+2 6.683439-2 6.056772+2 6.760830-2 5.861840+2 7.000000-2 5.309924+2 7.161434-2 4.972768+2 7.244360-2 4.810755+2 7.413102-2 4.502391+2 7.585776-2 4.213822+2 7.673615-2 4.076561+2 8.222426-2 3.341917+2 8.317638-2 3.232954+2 8.709636-2 2.831538+2 8.912509-2 2.648305+2 9.015711-2 2.561190+2 9.120108-2 2.476945+2 9.225714-2 2.395473+2 9.440609-2 2.240486+2 1.023293-1 1.772842+2 1.071519-1 1.550707+2 1.083927-1 1.499674+2 1.096478-1 1.450325+2 1.122019-1 1.356444+2 1.135011-1 1.311813+2 1.148154-1 1.268453+2 1.174898-1 1.186000+2 1.202264-1 1.108914+2 1.216186-1 1.072270+2 1.273503-1 9.374137+1 1.288250-1 9.064398+1 1.303167-1 8.764917+1 1.333521-1 8.195341+1 1.412538-1 6.927905+1 1.462177-1 6.263756+1 1.479108-1 6.056850+1 1.496236-1 5.856772+1 1.500000-1 5.813998+1 1.513561-1 5.663324+1 1.566751-1 5.120486+1 1.621810-1 4.629728+1 1.678804-1 4.186078+1 1.698244-1 4.047873+1 1.717908-1 3.914241+1 1.737801-1 3.785015+1 1.778279-1 3.539243+1 1.798871-1 3.422408+1 1.840772-1 3.200193+1 1.862087-1 3.094562+1 1.883649-1 2.992419+1 1.905461-1 2.893648+1 1.927525-1 2.798152+1 1.949845-1 2.706626+1 2.018366-1 2.449674+1 2.065380-1 2.292079+1 2.089296-1 2.217128+1 2.137962-1 2.074502+1 2.162719-1 2.006722+1 2.187762-1 1.941160+1 2.213095-1 1.877741+1 2.290868-1 1.699697+1 2.317395-1 1.644184+1 2.344229-1 1.590489+1 2.371374-1 1.538558+1 2.398833-1 1.488944+1 2.426610-1 1.440930+1 2.454709-1 1.394466+1 2.483133-1 1.349502+1 2.511886-1 1.305995+1 2.540973-1 1.263889+1 2.600160-1 1.183720+1 2.630268-1 1.145615+1 2.660725-1 1.108736+1 2.691535-1 1.073046+1 2.722701-1 1.038506+1 2.754229-1 1.005078+1 2.786121-1 9.727272+0 2.800000-1 9.590943+0 2.884032-1 8.831556+0 2.951209-1 8.282198+0 3.000000-1 7.911948+0 3.019952-1 7.767016+0 3.054921-1 7.521591+0 3.090295-1 7.284294+0 3.235937-1 6.407792+0 3.273407-1 6.205701+0 3.311311-1 6.013355+0 3.349654-1 5.826972+0 3.388442-1 5.646369+0 3.427678-1 5.471375+0 3.467369-1 5.301831+0 3.507519-1 5.137545+0 3.630781-1 4.675383+0 3.715352-1 4.390655+0 3.758374-1 4.257351+0 3.801894-1 4.128174+0 3.890451-1 3.881468+0 3.935501-1 3.763699+0 3.981072-1 3.649506+0 4.000000-1 3.603562+0 4.027170-1 3.538991+0 4.073803-1 3.431835+0 4.120975-1 3.327929+0 4.168694-1 3.227186+0 4.216965-1 3.131469+0 4.265795-1 3.038594+0 4.315191-1 2.948516+0 4.365158-1 2.861110+0 4.415705-1 2.776293+0 4.466836-1 2.693994+0 4.518559-1 2.614318+0 4.623810-1 2.461991+0 4.677351-1 2.389190+0 4.786301-1 2.253013+0 4.841724-1 2.187897+0 4.897788-1 2.124664+0 4.954502-1 2.063272+0 5.011872-1 2.003662+0 5.069907-1 1.945916+0 5.188000-1 1.835369+0 5.248075-1 1.783714+0 5.308844-1 1.733514+0 5.370318-1 1.684753+0 5.432503-1 1.637374+0 5.495409-1 1.591328+0 5.559043-1 1.546583+0 5.754399-1 1.420052+0 5.821032-1 1.381223+0 5.888437-1 1.343455+0 5.956621-1 1.306751+0 6.095369-1 1.236323+0 6.165950-1 1.202551+0 6.309573-1 1.137914+0 6.382635-1 1.106912+0 6.456542-1 1.077563+0 6.531306-1 1.048994+0 6.606935-1 1.021199+0 6.683439-1 9.941414-1 6.839117-1 9.421644-1 6.918310-1 9.172733-1 6.998420-1 8.936960-1 7.079458-1 8.707292-1 7.161434-1 8.483537-1 7.244360-1 8.265532-1 7.328245-1 8.053268-1 7.498942-1 7.645012-1 7.585776-1 7.448712-1 7.673615-1 7.258009-1 7.762471-1 7.077300-1 7.852356-1 6.901096-1 7.943282-1 6.729280-1 8.035261-1 6.561742-1 8.317638-1 6.084016-1 8.413951-1 5.933107-1 8.511380-1 5.785939-1 8.609938-1 5.645777-1 8.709636-1 5.509053-1 8.810489-1 5.375642-1 8.912509-1 5.245555-1 9.015711-1 5.118640-1 9.120108-1 4.994797-1 9.225714-1 4.874341-1 9.332543-1 4.756829-1 9.440609-1 4.642151-1 9.549926-1 4.533949-1 9.660509-1 4.428295-1 9.772372-1 4.325186-1 9.885531-1 4.224482-1 1.000000+0 4.126157-1 1.011579+0 4.030409-1 1.023293+0 3.936895-1 1.035142+0 3.847838-1 1.047129+0 3.760789-1 1.059254+0 3.675719-1 1.071519+0 3.592576-1 1.083927+0 3.511308-1 1.096478+0 3.431901-1 1.122018+0 3.278544-1 1.135011+0 3.204454-1 1.148154+0 3.132041-1 1.161449+0 3.061474-1 1.174898+0 2.994619-1 1.188600+0 2.928798-1 1.202264+0 2.865328-1 1.216186+0 2.802790-1 1.230269+0 2.741660-1 1.273503+0 2.566160-1 1.288250+0 2.510375-1 1.333521+0 2.354993-1 1.348963+0 2.305365-1 1.412538+0 2.117231-1 1.428894+0 2.072793-1 1.513561+0 1.870158-1 1.531087+0 1.832104-1 1.548817+0 1.794821-1 1.566751+0 1.758301-1 1.584893+0 1.722639-1 1.603245+0 1.688737-1 1.640590+0 1.622922-1 1.678804+0 1.559685-1 1.698244+0 1.529000-1 1.737801+0 1.469470-1 1.778279+0 1.412260-1 1.798871+0 1.384577-1 1.819701+0 1.358164-1 1.840772+0 1.332256-1 1.883649+0 1.281912-1 1.927525+0 1.233480-1 1.949845+0 1.209958-1 2.000000+0 1.159674-1 2.044000+0 1.118255-1 2.065380+0 1.099040-1 2.089296+0 1.078855-1 2.137962+0 1.039591-1 2.162719+0 1.020502-1 2.187762+0 1.001768-1 2.238721+0 9.653539-2 2.290868+0 9.302645-2 2.317395+0 9.132638-2 2.344229+0 8.971677-2 2.398833+0 8.658214-2 2.426610+0 8.505653-2 2.454709+0 8.355803-2 2.511886+0 8.064208-2 2.600160+0 7.645790-2 2.630268+0 7.511679-2 2.660725+0 7.384337-2 2.722701+0 7.136092-2 2.754229+0 7.015144-2 2.786121+0 6.896269-2 2.851018+0 6.664691-2 2.985383+0 6.224615-2 3.019952+0 6.119518-2 3.090295+0 5.920040-2 3.198895+0 5.632944-2 3.235937+0 5.540394-2 3.273407+0 5.449379-2 3.349654+0 5.271934-2 3.467369+0 5.016546-2 3.507519+0 4.934458-2 3.589219+0 4.779080-2 3.715352+0 4.555137-2 3.758374+0 4.482862-2 3.801894+0 4.411744-2 3.890451+0 4.272970-2 4.027170+0 4.072956-2 4.073803+0 4.008580-2 4.120975+0 3.947032-2 4.216965+0 3.826754-2 4.365158+0 3.653175-2 4.415704+0 3.597096-2 4.466836+0 3.541884-2 4.570882+0 3.434062-2 4.731513+0 3.278458-2 4.786301+0 3.228328-2 4.841724+0 3.180409-2 4.954502+0 3.086695-2 5.128614+0 2.951276-2 5.188000+0 2.907479-2 5.248075+0 2.864338-2 5.370318+0 2.780023-2 5.432503+0 2.738802-2 5.623413+0 2.618770-2 5.688529+0 2.580054-2 5.754399+0 2.542983-2 5.888437+0 2.470430-2 6.095369+0 2.365464-2 6.165950+0 2.331477-2 6.237348+0 2.297984-2 6.309573+0 2.264977-2 6.456542+0 2.200419-2 6.531306+0 2.168834-2 6.760830+0 2.076774-2 6.839116+0 2.047047-2 6.918310+0 2.018521-2 7.161434+0 1.935305-2 7.413102+0 1.855519-2 7.498942+0 1.829663-2 7.585776+0 1.804171-2 7.673615+0 1.779038-2 7.852356+0 1.729848-2 8.000000+0 1.691051-2 8.222427+0 1.635513-2 8.317638+0 1.612806-2 8.413951+0 1.590975-2 8.709636+0 1.527237-2 9.120108+0 1.446208-2 9.332543+0 1.407321-2 9.549926+0 1.369485-2 9.660509+0 1.350952-2 1.000000+1 1.296877-2 1.023293+1 1.262035-2 1.035142+1 1.244968-2 1.047129+1 1.228130-2 1.059254+1 1.212069-2 1.071519+1 1.196219-2 1.109175+1 1.149899-2 1.122018+1 1.134862-2 1.148154+1 1.105379-2 1.161449+1 1.090927-2 1.174898+1 1.076670-2 1.230269+1 1.021487-2 1.318257+1 9.439703-3 1.364583+1 9.074470-3 1.380384+1 8.955894-3 1.396368+1 8.839152-3 1.400000+1 8.813642-3 1.412538+1 8.726645-3 1.445440+1 8.505923-3 1.462177+1 8.397666-3 1.479108+1 8.290804-3 1.500000+1 8.162464-3 1.513561+1 8.081197-3 1.584893+1 7.677888-3 1.717908+1 7.019938-3 1.800000+1 6.664950-3 1.819701+1 6.584783-3 1.840772+1 6.501233-3 1.862087+1 6.420498-3 1.905461+1 6.262021-3 1.927525+1 6.184257-3 1.949845+1 6.107469-3 1.995262+1 5.956760-3 2.018366+1 5.882835-3 2.113489+1 5.596213-3 2.317395+1 5.064195-3 2.454709+1 4.757685-3 2.483133+1 4.698647-3 2.511886+1 4.640452-3 2.540973+1 4.584015-3 2.630268+1 4.418796-3 2.660725+1 4.365057-3 2.691535+1 4.311979-3 2.786121+1 4.156600-3 2.818383+1 4.106079-3 2.985383+1 3.862557-3 3.235937+1 3.545702-3 3.427678+1 3.335420-3 3.467369+1 3.294884-3 3.507519+1 3.254903-3 3.548134+1 3.215407-3 3.589219+1 3.176974-3 3.801894+1 2.991586-3 3.890451+1 2.920497-3 3.935501+1 2.885591-3 4.216965+1 2.684763-3 4.265795+1 2.652687-3 4.623810+1 2.438642-3 5.069907+1 2.215088-3 5.308844+1 2.111118-3 5.370318+1 2.085936-3 5.432503+1 2.061054-3 5.495409+1 2.036822-3 5.754399+1 1.942711-3 5.888437+1 1.897298-3 5.956621+1 1.874994-3 6.456542+1 1.726043-3 6.606934+1 1.685712-3 7.498942+1 1.480164-3 8.609938+1 1.284409-3 9.120108+1 1.210693-3 9.225714+1 1.196480-3 9.332543+1 1.182434-3 9.440609+1 1.168691-3 9.549926+1 1.155108-3 1.000000+2 1.102335-3 1.023293+2 1.076860-3 1.035142+2 1.064344-3 1.059254+2 1.039748-3 1.202264+2 9.142931-4 1.244515+2 8.827909-4 1.496236+2 7.322312-4 1.717908+2 6.364168-4 1.819701+2 6.002936-4 1.840772+2 5.933240-4 1.862087+2 5.864352-4 1.883649+2 5.796721-4 1.905461+2 5.729869-4 1.995262+2 5.470089-4 2.041738+2 5.344647-4 2.065380+2 5.283011-4 2.113489+2 5.161866-4 2.398833+2 4.543567-4 2.483133+2 4.388207-4 2.985383+2 3.645044-4 3.427678+2 3.171502-4 3.630781+2 2.992833-4 3.672823+2 2.958340-4 3.715352+2 2.924245-4 3.758374+2 2.890670-4 3.801894+2 2.857480-4 3.981072+2 2.728490-4 4.073803+2 2.666195-4 4.120975+2 2.635583-4 4.216965+2 2.575411-4 9.549926+2 1.134440-4 9.885531+2 1.095816-4 1.188502+3 9.109694-5 1.364583+3 7.931009-5 1.445440+3 7.486094-5 1.462177+3 7.400177-5 1.479108+3 7.315244-5 1.496236+3 7.231483-5 1.513561+3 7.148688-5 1.584893+3 6.826866-5 1.621810+3 6.671430-5 1.640590+3 6.595043-5 3.349654+3 3.229585-5 6.025596+4 1.794195-6 6.237348+4 1.733272-6 1.000000+5 1.081003-6 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.560000-6 6.560000-6 9.810000-6 6.560000-6 9.810000-6 9.728892-6 1.024000-5 9.752310-6 1.024000-5 9.937102-6 1.350000-5 9.970096-6 5.478000-5 9.980450-6 5.478000-5 1.176950-5 5.650000-5 1.192011-5 5.884000-5 1.206502-5 5.884000-5 1.287212-5 6.165950-5 1.313493-5 7.079458-5 1.384831-5 7.500000-5 1.423367-5 7.943282-5 1.471655-5 8.650000-5 1.561171-5 8.852000-5 1.587605-5 8.852000-5 1.754778-5 9.150000-5 1.815701-5 9.450000-5 1.869605-5 9.800000-5 1.919339-5 1.011579-4 1.950782-5 1.045000-4 1.969805-5 1.085000-4 1.976491-5 1.128000-4 1.967836-5 1.198000-4 1.934212-5 1.364583-4 1.833711-5 1.465000-4 1.783180-5 1.548817-4 1.749129-5 1.659587-4 1.713672-5 1.780000-4 1.684289-5 1.950000-4 1.654830-5 2.162719-4 1.631252-5 2.400000-4 1.616578-5 2.760000-4 1.607626-5 3.179600-4 1.607318-5 3.179600-4 1.798637-5 3.215000-4 1.805271-5 3.230300-4 1.812233-5 3.230300-4 1.920184-5 3.252000-4 1.935150-5 3.273407-4 1.962778-5 3.290000-4 1.995535-5 3.308000-4 2.044497-5 3.328000-4 2.115527-5 3.347000-4 2.196430-5 3.400000-4 2.443717-5 3.423000-4 2.537565-5 3.448000-4 2.621406-5 3.472000-4 2.684518-5 3.504000-4 2.746244-5 3.535000-4 2.788321-5 3.580000-4 2.829038-5 3.635000-4 2.859751-5 3.730000-4 2.888370-5 3.890451-4 2.906677-5 4.700000-4 2.918200-5 4.946600-4 2.918296-5 4.946600-4 3.094886-5 5.045500-4 3.124093-5 5.201500-4 3.147586-5 5.201500-4 3.202304-5 5.258000-4 3.229257-5 5.385000-4 3.258168-5 5.580000-4 3.278545-5 6.159500-4 3.315619-5 6.159500-4 3.461091-5 8.850000-4 3.658336-5 1.135011-3 3.807404-5 1.462177-3 3.964737-5 1.819701-3 4.102604-5 2.238721-3 4.230948-5 2.884032-3 4.388239-5 3.004500-3 4.413756-5 3.004500-3 6.373211-5 3.151500-3 6.386803-5 3.151500-3 6.691480-5 3.391200-3 6.701222-5 3.391200-3 7.098472-5 4.677351-3 7.245242-5 6.606934-3 7.413032-5 9.500000-3 7.601402-5 1.318257-2 7.777769-5 1.798871-2 7.946305-5 2.319100-2 8.080246-5 2.319100-2 8.375827-5 4.731513-2 8.427558-5 1.288250-1 8.466196-5 6.606935-1 8.487760-5 1.000000+5 8.489341-5 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.560000-6 0.0 5.478000-5 0.0 5.478000-5 4.29863-11 5.530000-5 4.42531-11 5.590000-5 4.55089-11 5.650000-5 4.66201-11 5.740000-5 4.81058-11 5.884000-5 5.01278-11 5.884000-5 7.79218-11 6.000000-5 8.14396-11 6.095369-5 8.39392-11 6.260000-5 8.78454-11 6.950000-5 1.02777-10 7.161434-5 1.07749-10 7.413102-5 1.14158-10 7.673615-5 1.21365-10 7.943282-5 1.29644-10 8.222426-5 1.38844-10 8.852000-5 1.60739-10 8.852000-5 1.77290-10 9.150000-5 1.88619-10 9.332543-5 1.94791-10 9.580000-5 2.01925-10 9.800000-5 2.06910-10 1.005000-4 2.11006-10 1.030000-4 2.13416-10 1.055000-4 2.14281-10 1.085000-4 2.13640-10 1.115000-4 2.11451-10 1.150000-4 2.07612-10 1.202264-4 2.00407-10 1.318257-4 1.83591-10 1.380384-4 1.75699-10 1.430000-4 1.70086-10 1.500000-4 1.63411-10 1.548817-4 1.59459-10 1.600000-4 1.55840-10 1.678804-4 1.51243-10 1.760000-4 1.47337-10 1.862087-4 1.43560-10 1.950000-4 1.40941-10 2.089296-4 1.37889-10 2.238721-4 1.35768-10 2.400000-4 1.34306-10 2.600160-4 1.33449-10 2.917427-4 1.33402-10 3.179600-4 1.34087-10 3.179600-4 1.46768-10 3.223000-4 1.47539-10 3.230300-4 1.47809-10 3.230300-4 8.048278-9 3.245000-4 7.995453-9 3.252000-4 7.974697-9 3.264000-4 7.976620-9 3.273407-4 8.005013-9 3.280000-4 8.042975-9 3.287000-4 8.107205-9 3.295000-4 8.210622-9 3.302000-4 8.330754-9 3.311311-4 8.544949-9 3.318000-4 8.728115-9 3.325000-4 8.959346-9 3.333000-4 9.270602-9 3.340000-4 9.585866-9 3.347000-4 9.941632-9 3.355000-4 1.039594-8 3.365000-4 1.103539-8 3.370000-4 1.138171-8 3.380000-4 1.212414-8 3.395000-4 1.336194-8 3.400000-4 1.379327-8 3.411700-4 1.484935-8 3.440000-4 1.755810-8 3.458000-4 1.930962-8 3.476000-4 2.096775-8 3.495000-4 2.257935-8 3.504000-4 2.329753-8 3.515000-4 2.410625-8 3.535000-4 2.542433-8 3.548134-4 2.617206-8 3.569000-4 2.720907-8 3.580000-4 2.768485-8 3.600000-4 2.842426-8 3.620000-4 2.907015-8 3.635000-4 2.947559-8 3.657000-4 3.000140-8 3.680000-4 3.046660-8 3.723000-4 3.117055-8 3.780000-4 3.185704-8 3.815000-4 3.216719-8 3.865000-4 3.247002-8 3.900000-4 3.264333-8 3.950000-4 3.280771-8 4.000000-4 3.294928-8 4.168694-4 3.308570-8 4.631200-4 3.332190-8 4.946600-4 3.336603-8 4.946600-4 3.845385-8 4.981000-4 3.874055-8 5.000000-4 3.896204-8 5.045500-4 3.929526-8 5.201500-4 3.998394-8 5.201500-4 4.309973-8 5.223000-4 4.374157-8 5.258000-4 4.444932-8 5.315000-4 4.519724-8 5.385000-4 4.579967-8 5.500000-4 4.638071-8 5.956621-4 4.754068-8 6.159500-4 4.803539-8 6.159500-4 5.246376-8 7.673615-4 5.665835-8 9.015711-4 6.005320-8 1.071519-3 6.374695-8 1.216186-3 6.650789-8 1.412538-3 6.978710-8 1.630000-3 7.292951-8 1.819701-3 7.534880-8 2.089296-3 7.829180-8 2.454709-3 8.167926-8 2.884032-3 8.500575-8 3.004500-3 8.583900-8 3.004500-3 9.054500-5 3.151500-3 9.077931-5 3.151500-3 1.071514-4 3.391200-3 1.071820-4 3.391200-3 1.102920-4 4.315191-3 1.106261-4 7.079458-3 1.108089-4 2.319100-2 1.098458-4 2.319100-2 1.416229-2 2.540973-2 1.423087-2 3.427678-2 1.438070-2 4.954502-2 1.449814-2 8.317638-2 1.458833-2 1.737801-1 1.463814-2 1.230269+0 1.467877-2 1.000000+5 1.467830-2 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.560000-6 0.0 9.810000-6 3.250000-6 9.810000-6 8.110843-8 9.930000-6 1.938684-7 1.020000-5 4.496140-7 1.024000-5 4.876895-7 1.024000-5 3.028984-7 1.071519-5 7.670993-7 1.161449-5 1.653973-6 1.415000-5 4.178765-6 5.478000-5 4.479955-5 5.478000-5 4.301045-5 5.884000-5 4.677493-5 5.884000-5 4.596780-5 7.673615-5 6.232368-5 8.852000-5 7.264379-5 8.852000-5 7.097204-5 9.580000-5 7.690074-5 1.025000-4 8.289942-5 1.100000-4 9.025062-5 1.260000-4 1.070366-4 1.548817-4 1.373902-4 2.018366-4 1.853754-4 3.179600-4 3.018867-4 3.179600-4 2.999735-4 3.230300-4 3.049075-4 3.230300-4 3.038201-4 3.311311-4 3.105707-4 3.458000-4 3.192846-4 3.580000-4 3.296820-4 4.050000-4 3.758510-4 4.946600-4 4.654437-4 4.946600-4 4.636727-4 5.201500-4 4.886342-4 5.201500-4 4.880839-4 6.159500-4 5.827458-4 6.159500-4 5.812866-4 2.371374-3 2.328631-3 3.004500-3 2.960277-3 3.004500-3 2.850223-3 3.151500-3 2.996853-3 3.151500-3 2.977434-3 3.391200-3 3.217006-3 3.391200-3 3.209923-3 2.319100-2 2.300035-2 2.319100-2 8.944950-3 2.400000-2 9.720322-3 3.273407-2 1.828926-2 5.688529-2 4.227074-2 1.000000+5 9.999998+4 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 2.319100-2 9.173778+3 2.345000-2 8.962789+3 2.382000-2 8.630480+3 2.426610-2 8.203263+3 2.500000-2 7.626300+3 2.660725-2 6.472718+3 2.951209-2 4.961200+3 3.427678-2 3.337979+3 4.265795-2 1.846077+3 4.954502-2 1.221104+3 5.688529-2 8.307324+2 7.000000-2 4.618080+2 8.709636-2 2.467432+2 1.135011-1 1.145035+2 1.927525-1 2.445719+1 2.371374-1 1.345171+1 2.800000-1 8.386920+0 3.273407-1 5.427966+0 3.715352-1 3.840928+0 4.168694-1 2.823510+0 4.677351-1 2.090618+0 5.188000-1 1.606256+0 5.754399-1 1.242968+0 6.382635-1 9.690553-1 6.918310-1 8.032535-1 7.673615-1 6.358370-1 8.511380-1 5.070399-1 9.440609-1 4.068071-1 1.023293+0 3.450105-1 1.161449+0 2.682991-1 1.288250+0 2.200017-1 1.428894+0 1.816511-1 1.584893+0 1.509645-1 1.798871+0 1.213397-1 2.065380+0 9.631449-2 2.317395+0 8.003302-2 2.630268+0 6.582843-2 3.019952+0 5.362925-2 3.507519+0 4.324370-2 4.073803+0 3.512966-2 4.786301+0 2.829192-2 5.688529+0 2.261063-2 6.839116+0 1.793970-2 8.317638+0 1.413414-2 1.047129+1 1.076308-2 1.396368+1 7.746423-3 1.840772+1 5.697529-3 2.511886+1 4.066796-3 3.548134+1 2.817878-3 5.432503+1 1.806250-3 9.332543+1 1.036257-3 1.862087+2 5.139441-4 3.715352+2 2.562770-4 1.479108+3 6.410986-5 1.000000+5 9.474000-7 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 2.319100-2 8.429900-5 1.000000+5 8.429900-5 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.319100-2 1.673300-2 1.000000+5 1.673300-2 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.319100-2 6.373701-3 1.000000+5 9.999998+4 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 3.391200-3 3.854206+4 3.630781-3 3.463874+4 4.168694-3 2.762198+4 4.518559-3 2.394852+4 5.011872-3 1.988485+4 5.432503-3 1.724641+4 5.821032-3 1.515676+4 7.079458-3 1.041021+4 7.943282-3 8.264186+3 9.120108-3 6.232390+3 1.071519-2 4.430767+3 1.202264-2 3.451155+3 1.400000-2 2.460520+3 1.640590-2 1.713173+3 1.905461-2 1.207072+3 2.187762-2 8.676218+2 2.511886-2 6.195882+2 2.917427-2 4.271917+2 3.427678-2 2.839979+2 4.027170-2 1.873319+2 4.731513-2 1.226503+2 5.623413-2 7.731695+1 6.760830-2 4.688382+1 8.222426-2 2.732850+1 1.023293-1 1.482583+1 1.333521-1 7.010030+0 2.137962-1 1.834056+0 2.600160-1 1.057242+0 3.054921-1 6.763558-1 3.507519-1 4.643431-1 3.981072-1 3.311592-1 4.466836-1 2.451510-1 5.011872-1 1.827764-1 5.559043-1 1.413379-1 6.165950-1 1.100371-1 6.839117-1 8.628282-2 7.585776-1 6.815824-2 8.317638-1 5.563699-2 9.120108-1 4.571870-2 1.000000+0 3.783188-2 1.148154+0 2.874269-2 1.273503+0 2.354630-2 1.412538+0 1.942241-2 1.566751+0 1.612610-2 1.778279+0 1.295140-2 2.044000+0 1.025698-2 2.290868+0 8.533075-3 2.600160+0 7.013149-3 2.985383+0 5.709289-3 3.467369+0 4.601063-3 4.027170+0 3.735772-3 4.731513+0 3.007010-3 5.623413+0 2.401976-3 6.760830+0 1.904816-3 8.222427+0 1.500110-3 1.047129+1 1.126718-3 1.380384+1 8.214766-4 1.819701+1 6.039989-4 2.483133+1 4.310029-4 3.467369+1 3.022225-4 5.308844+1 1.936372-4 9.120108+1 1.110553-4 1.819701+2 5.506516-5 3.630781+2 2.745477-5 1.445440+3 6.867655-6 1.000000+5 9.917300-8 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 3.391200-3 9.787000-5 1.000000+5 9.787000-5 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.391200-3 1.313400-4 1.000000+5 1.313400-4 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.391200-3 3.161990-3 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 3.151500-3 8.643949+4 3.273407-3 7.859200+4 3.311311-3 7.618000+4 3.388442-3 7.216400+4 3.700000-3 5.774400+4 4.027170-3 4.608000+4 4.954502-3 2.625000+4 5.308844-3 2.170700+4 6.300000-3 1.340500+4 7.800000-3 7.205100+3 9.015711-3 4.681000+3 1.023293-2 3.195200+3 1.230269-2 1.814600+3 1.479108-2 1.019500+3 1.757924-2 5.885200+2 2.089296-2 3.370000+2 2.511886-2 1.844500+2 3.054921-2 9.642900+1 3.801894-2 4.633489+1 4.731513-2 2.208764+1 6.683439-2 6.790325+0 1.071519-1 1.349688+0 1.333521-1 6.424218-1 1.621810-1 3.330449-1 1.905461-1 1.952529-1 2.213095-1 1.198177-1 2.540973-1 7.692341-2 2.884032-1 5.161952-2 3.235937-1 3.616249-2 3.630781-1 2.551289-2 4.027170-1 1.876126-2 4.466836-1 1.388950-2 4.954502-1 1.035870-2 5.495409-1 7.782796-3 6.095369-1 5.892218-3 6.683439-1 4.631023-3 7.328245-1 3.663926-3 8.317638-1 2.680894-3 8.912509-1 2.271952-3 9.549926-1 1.938758-3 1.011579+0 1.709713-3 1.096478+0 1.445758-3 1.174898+0 1.260481-3 1.273503+0 1.082845-3 1.412538+0 8.973431-4 1.678804+0 6.627018-4 1.927525+0 5.238623-4 2.162719+0 4.333967-4 2.426610+0 3.612552-4 2.754229+0 2.979776-4 3.235937+0 2.353107-4 3.758374+0 1.904208-4 4.415704+0 1.527875-4 5.188000+0 1.234922-4 6.237348+0 9.760801-5 7.585776+0 7.662848-5 9.549926+0 5.816753-5 1.148154+1 4.694821-5 1.479108+1 3.522180-5 1.949845+1 2.594931-5 2.691535+1 1.831931-5 3.935501+1 1.225903-5 5.956621+1 7.966681-6 1.059254+2 4.417890-6 2.113489+2 2.193840-6 4.216965+2 1.094560-6 3.349654+3 1.372191-7 1.000000+5 4.595600-9 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 3.151500-3 7.495200-5 1.000000+5 7.495200-5 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.151500-3 1.503400-4 1.000000+5 1.503400-4 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.151500-3 2.926208-3 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 3.004500-3 1.814115+5 3.120000-3 1.662178+5 3.311311-3 1.427475+5 3.589219-3 1.154848+5 3.935501-3 8.976956+4 4.800000-3 5.181960+4 5.188000-3 4.158981+4 6.025596-3 2.708851+4 7.000000-3 1.740288+4 7.852356-3 1.235074+4 9.500000-3 6.907040+3 1.109175-2 4.264676+3 1.273503-2 2.755886+3 1.479108-2 1.705496+3 1.737801-2 1.009290+3 2.041738-2 5.927578+2 2.400000-2 3.450884+2 2.851018-2 1.925426+2 3.427678-2 1.023797+2 4.216965-2 4.989095+1 5.308844-2 2.225675+1 7.244360-2 7.411990+0 1.148154-1 1.444317+0 1.412538-1 6.965343-1 1.678804-1 3.820666-1 1.949845-1 2.284861-1 2.213095-1 1.488708-1 2.483133-1 1.015031-1 2.786121-1 6.969174-2 3.090295-1 5.002070-2 3.427678-1 3.615795-2 3.758374-1 2.727588-2 4.120975-1 2.071192-2 4.518559-1 1.583722-2 4.897788-1 1.259937-2 5.370318-1 9.772835-3 5.888437-1 7.638894-3 6.382635-1 6.198774-3 6.998420-1 4.918500-3 7.673615-1 3.932611-3 8.609938-1 2.997682-3 9.225714-1 2.563272-3 9.885531-1 2.206802-3 1.083927+0 1.825345-3 1.174898+0 1.555451-3 1.288250+0 1.306391-3 1.428894+0 1.081435-3 1.640590+0 8.474005-4 1.883649+0 6.691287-4 2.137962+0 5.426285-4 2.398833+0 4.519552-4 2.722701+0 3.725049-4 3.198895+0 2.939583-4 3.715352+0 2.377382-4 4.365158+0 1.906501-4 5.128614+0 1.540196-4 6.165950+0 1.216775-4 7.498942+0 9.547978-5 9.332543+0 7.344385-5 1.122018+1 5.922654-5 1.462177+1 4.383871-5 1.927525+1 3.228622-5 2.660725+1 2.278799-5 3.890451+1 1.524541-5 5.888437+1 9.905419-6 1.035142+2 5.557094-6 2.065380+2 2.758864-6 4.120975+2 1.376297-6 1.640590+3 3.444325-7 1.000000+5 5.646500-9 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 3.004500-3 7.178900-5 1.000000+5 7.178900-5 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.004500-3 1.277400-4 1.000000+5 1.277400-4 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.004500-3 2.804971-3 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 6.159500-4 1.210644+5 7.161434-4 1.017712+5 8.511380-4 8.278431+4 8.850000-4 7.866920+4 1.071519-3 6.051547+4 1.161449-3 5.378891+4 1.380384-3 4.135473+4 1.531087-3 3.506818+4 1.800000-3 2.688720+4 2.089296-3 2.085662+4 2.400000-3 1.636382+4 2.818383-3 1.225494+4 3.349654-3 8.901858+3 3.935501-3 6.553143+3 4.677351-3 4.681404+3 5.559043-3 3.316078+3 6.531306-3 2.385045+3 7.673615-3 1.702320+3 9.015711-3 1.205724+3 1.059254-2 8.475357+2 1.244515-2 5.912265+2 1.462177-2 4.092981+2 1.700000-2 2.881980+2 2.000000-2 1.959352+2 2.344229-2 1.333580+2 2.754229-2 8.955651+1 3.235937-2 5.968748+1 3.801894-2 3.948827+1 4.466836-2 2.593881+1 5.308844-2 1.641112+1 6.382635-2 9.991260+0 7.673615-2 6.036408+0 9.440609-2 3.397231+0 1.216186-1 1.666419+0 2.344229-1 2.604281-1 2.786121-1 1.608093-1 3.273407-1 1.032859-1 3.758374-1 7.119324-2 4.265795-1 5.099668-2 4.786301-1 3.792566-2 5.308844-1 2.924499-2 5.888437-1 2.270347-2 6.531306-1 1.775324-2 7.244360-1 1.398537-2 8.035261-1 1.109988-2 8.810489-1 9.092058-3 9.660509-1 7.499710-3 1.096478+0 5.815947-3 1.216186+0 4.750088-3 1.348963+0 3.906509-3 1.513561+0 3.168114-3 1.698244+0 2.589909-3 1.949845+0 2.049721-3 2.187762+0 1.696641-3 2.454709+0 1.415107-3 2.786121+0 1.168028-3 3.273407+0 9.229505-4 3.801894+0 7.473037-4 4.466836+0 5.999365-4 5.248075+0 4.851513-4 6.309573+0 3.836489-4 7.673615+0 3.013225-4 9.660509+0 2.288266-4 1.161449+1 1.847711-4 1.500000+1 1.382700-4 1.995262+1 1.009107-4 2.786121+1 7.040543-5 4.216965+1 4.547515-5 6.456542+1 2.923711-5 1.202264+2 1.548726-5 2.398833+2 7.699724-6 9.549926+2 1.922580-6 6.025596+4 3.040239-8 1.000000+5 1.832600-8 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 6.159500-4 6.759100-5 1.000000+5 6.759100-5 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.159500-4 1.528600-7 1.000000+5 1.528600-7 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.159500-4 5.482061-4 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 5.201500-4 9.870500+4 5.207000-4 1.039148+5 5.211000-4 1.074376+5 5.216000-4 1.114560+5 5.223000-4 1.164606+5 5.230000-4 1.208808+5 5.237000-4 1.248622+5 5.248075-4 1.304250+5 5.258000-4 1.347412+5 5.272000-4 1.400600+5 5.285000-4 1.443478+5 5.300000-4 1.486336+5 5.315000-4 1.523018+5 5.335000-4 1.563570+5 5.360000-4 1.603038+5 5.385000-4 1.631962+5 5.410000-4 1.652294+5 5.435000-4 1.665480+5 5.465000-4 1.673928+5 5.500000-4 1.676160+5 5.559043-4 1.668374+5 6.350000-4 1.525844+5 7.161434-4 1.380663+5 7.585776-4 1.305751+5 8.200000-4 1.200318+5 9.015711-4 1.072530+5 9.549926-4 9.955673+4 1.035142-3 8.891082+4 1.135011-3 7.761074+4 1.216186-3 6.968371+4 1.333521-3 5.984442+4 1.479108-3 5.005483+4 1.621810-3 4.236082+4 1.819701-3 3.409053+4 2.000000-3 2.832240+4 2.238721-3 2.251420+4 2.454709-3 1.855153+4 2.754229-3 1.445124+4 3.054921-3 1.146050+4 3.427678-3 8.792118+3 3.845918-3 6.693316+3 4.315191-3 5.058867+3 4.841724-3 3.796330+3 5.432503-3 2.829193+3 6.095369-3 2.094366+3 6.839116-3 1.540303+3 7.762471-3 1.090493+3 8.810489-3 7.663145+2 1.000000-2 5.347400+2 1.135011-2 3.706395+2 1.303167-2 2.466870+2 1.513561-2 1.573693+2 1.737801-2 1.031818+2 2.018366-2 6.480907+1 2.344229-2 4.041293+1 2.754229-2 2.412027+1 3.273407-2 1.376770+1 3.935501-2 7.512108+0 4.841724-2 3.770214+0 6.237348-2 1.609746+0 1.174898-1 1.891264-1 1.462177-1 9.082502-2 1.737801-1 5.122121-2 2.018366-1 3.138693-2 2.317395-1 2.011117-2 2.660725-1 1.298382-2 3.019952-1 8.756780-3 3.388442-1 6.161066-3 3.801894-1 4.365621-3 4.216965-1 3.223063-3 4.677351-1 2.395647-3 5.188000-1 1.793579-3 5.754399-1 1.353129-3 6.309573-1 1.060359-3 6.918310-1 8.363086-4 7.585776-1 6.638795-4 8.609938-1 4.868467-4 9.225714-1 4.136697-4 9.772372-1 3.632809-4 1.047129+0 3.133295-4 1.122018+0 2.719869-4 1.202264+0 2.377180-4 1.333521+0 1.962611-4 1.513561+0 1.565780-4 1.737801+0 1.230900-4 2.000000+0 9.709942-5 2.238721+0 8.082047-5 2.511886+0 6.750643-5 2.851018+0 5.578785-5 3.349654+0 4.413171-5 3.890451+0 3.577314-5 4.570882+0 2.874862-5 5.370318+0 2.327134-5 6.456542+0 1.842039-5 7.852356+0 1.448133-5 1.000000+1 1.085800-5 1.230269+1 8.549488-6 1.584893+1 6.426096-6 2.113489+1 4.683985-6 2.985383+1 3.232895-6 4.623810+1 2.041235-6 7.498942+1 1.238943-6 1.496236+2 6.129688-7 2.985383+2 3.052768-7 1.188502+3 7.631169-8 1.000000+5 9.05640-10 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 5.201500-4 5.136900-5 1.000000+5 5.136900-5 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.201500-4 1.532600-7 1.000000+5 1.532600-7 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.201500-4 4.686277-4 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.946600-4 3.046811+5 4.981000-4 3.196616+5 4.985000-4 3.245953+5 5.000000-4 3.319656+5 5.045500-4 3.483209+5 5.143000-4 3.660764+5 5.245000-4 3.772419+5 5.370318-4 3.807998+5 5.450000-4 3.823365+5 5.580000-4 3.795015+5 5.754399-4 3.724471+5 6.165950-4 3.500417+5 6.918310-4 3.121770+5 7.413102-4 2.889815+5 8.000000-4 2.633016+5 8.709636-4 2.358494+5 9.225714-4 2.176316+5 1.000000-3 1.929380+5 1.109175-3 1.640718+5 1.202264-3 1.435633+5 1.333521-3 1.197968+5 1.462177-3 1.013850+5 1.603245-3 8.517027+4 1.778279-3 6.954558+4 1.972423-3 5.634743+4 2.187762-3 4.534962+4 2.426610-3 3.623272+4 2.710800-3 2.830716+4 3.054921-3 2.149943+4 3.400000-3 1.668784+4 3.801894-3 1.272468+4 4.315191-3 9.278123+3 4.841724-3 6.910772+3 5.370318-3 5.271051+3 6.025596-3 3.876171+3 6.839116-3 2.742790+3 7.852356-3 1.864022+3 8.912509-3 1.297963+3 1.011579-2 8.974030+2 1.150000-2 6.131880+2 1.318257-2 4.058116+2 1.513561-2 2.652108+2 1.737801-2 1.720281+2 2.018366-2 1.067936+2 2.344229-2 6.577060+1 2.722701-2 4.021225+1 3.198895-2 2.349533+1 3.801894-2 1.310810+1 4.570882-2 6.979533+0 5.623413-2 3.407433+0 7.244360-2 1.406551+0 1.273503-1 1.941513-1 1.566751-1 9.445908-2 1.840772-1 5.430330-2 2.137962-1 3.271801-2 2.426610-1 2.145878-2 2.722701-1 1.472571-2 3.019952-1 1.056185-2 3.349654-1 7.629712-3 3.715352-1 5.553328-3 4.073803-1 4.216043-3 4.466836-1 3.223058-3 4.897788-1 2.481921-3 5.370318-1 1.926315-3 5.888437-1 1.506682-3 6.456542-1 1.187316-3 7.079458-1 9.427726-4 7.762471-1 7.543903-4 8.609938-1 5.914798-4 9.225714-1 5.061175-4 9.885531-1 4.359694-4 1.083927+0 3.607522-4 1.174898+0 3.074607-4 1.288250+0 2.581929-4 1.428894+0 2.136835-4 1.640590+0 1.674164-4 1.883649+0 1.321999-4 2.137962+0 1.072093-4 2.398833+0 8.929540-5 2.722701+0 7.359829-5 3.198895+0 5.807953-5 3.715352+0 4.697181-5 4.365158+0 3.766814-5 5.128614+0 3.043031-5 6.095369+0 2.439139-5 7.413102+0 1.913192-5 9.120108+0 1.491297-5 1.109175+1 1.185716-5 1.462177+1 8.661442-6 1.927525+1 6.379057-6 2.660725+1 4.502388-6 3.890451+1 3.012204-6 5.888437+1 1.957113-6 1.023293+2 1.110920-6 2.041738+2 5.514531-7 4.073803+2 2.750916-7 1.621810+3 6.884093-8 1.000000+5 1.115600-9 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.946600-4 5.066500-5 1.000000+5 5.066500-5 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.946600-4 9.525900-8 1.000000+5 9.525900-8 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.946600-4 4.438997-4 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 3.230300-4 7.267880+4 3.241000-4 7.237400+4 3.252000-4 7.237800+4 3.263000-4 7.286200+4 3.272000-4 7.368480+4 3.280000-4 7.485440+4 3.287000-4 7.626720+4 3.295000-4 7.840080+4 3.302000-4 8.079240+4 3.310000-4 8.422880+4 3.318000-4 8.852520+4 3.325000-4 9.308760+4 3.333000-4 9.934680+4 3.340000-4 1.058476+5 3.347000-4 1.134100+5 3.355000-4 1.234868+5 3.363000-4 1.352484+5 3.370000-4 1.470464+5 3.380000-4 1.665480+5 3.395000-4 2.021676+5 3.422100-4 2.876101+5 3.435000-4 3.378936+5 3.448000-4 3.943212+5 3.458000-4 4.411880+5 3.468000-4 4.904480+5 3.476000-4 5.312880+5 3.485000-4 5.783280+5 3.495000-4 6.314240+5 3.504000-4 6.794720+5 3.515000-4 7.379800+5 3.527000-4 8.008080+5 3.535000-4 8.417400+5 3.548134-4 9.068786+5 3.558000-4 9.539960+5 3.569000-4 1.004280+6 3.580000-4 1.052184+6 3.595000-4 1.113656+6 3.610000-4 1.170472+6 3.620000-4 1.206180+6 3.635000-4 1.256048+6 3.657000-4 1.321864+6 3.680000-4 1.382092+6 3.700000-4 1.427972+6 3.723000-4 1.473616+6 3.750000-4 1.517864+6 3.780000-4 1.556416+6 3.815000-4 1.589004+6 3.850000-4 1.609472+6 3.890451-4 1.621100+6 3.935501-4 1.622456+6 4.000000-4 1.610548+6 4.100000-4 1.575912+6 4.315191-4 1.490321+6 4.466836-4 1.428795+6 4.631200-4 1.358254+6 4.850000-4 1.261660+6 5.188000-4 1.123263+6 5.500000-4 1.009648+6 5.800000-4 9.093040+5 6.237348-4 7.805963+5 6.760830-4 6.526597+5 7.161434-4 5.712963+5 7.673615-4 4.834156+5 8.413951-4 3.838537+5 9.120108-4 3.116871+5 1.011579-3 2.362483+5 1.122018-3 1.777924+5 1.244515-3 1.326870+5 1.380384-3 9.839648+4 1.531087-3 7.242975+4 1.698244-3 5.297935+4 1.905461-3 3.712610+4 2.113489-3 2.678084+4 2.371374-3 1.849307+4 2.660725-3 1.267680+4 3.000000-3 8.489680+3 3.400000-3 5.545000+3 3.900000-3 3.445036+3 4.415704-3 2.221125+3 5.011872-3 1.408723+3 5.688529-3 8.864388+2 6.500000-3 5.398400+2 7.328245-3 3.432078+2 8.413951-3 2.021802+2 9.772372-3 1.129772+2 1.135011-2 6.257647+1 1.318257-2 3.439983+1 1.531087-2 1.876750+1 1.798871-2 9.689410+0 2.113489-2 4.965108+0 2.540973-2 2.294085+0 3.162278-2 9.095433-1 4.315191-2 2.419507-1 7.161434-2 2.781414-2 8.912509-2 1.100025-2 1.083927-1 4.832707-3 1.273503-1 2.472645-3 1.479108-1 1.337259-3 1.698244-1 7.639679-4 1.927525-1 4.607167-4 2.162719-1 2.929770-4 2.426610-1 1.876815-4 2.691535-1 1.265502-4 3.000000-1 8.437143-5 3.311311-1 5.871982-5 3.630781-1 4.214786-5 4.000000-1 2.995980-5 4.365158-1 2.218336-5 4.786301-1 1.627348-5 5.188000-1 1.248715-5 5.754399-1 8.953848-6 6.606935-1 5.784574-6 7.079458-1 4.676206-6 7.498942-1 3.937495-6 8.035261-1 3.227869-6 8.609938-1 2.661457-6 9.120108-1 2.282693-6 9.549926-1 2.031673-6 1.000000+0 1.820624-6 1.059254+0 1.602278-6 1.122018+0 1.420253-6 1.188600+0 1.267712-6 1.288250+0 1.093222-6 1.428894+0 9.111758-7 1.819701+0 5.998907-7 2.065380+0 4.852137-7 2.317395+0 4.032263-7 2.630268+0 3.316493-7 3.019952+0 2.701614-7 3.507519+0 2.178404-7 4.073803+0 1.769655-7 4.786301+0 1.425238-7 5.688529+0 1.138999-7 6.839116+0 9.036918-8 8.317638+0 7.120113-8 1.047129+1 5.422068-8 1.380384+1 3.953245-8 1.800000+1 2.941700-8 2.454709+1 2.099898-8 3.427678+1 1.472115-8 5.308844+1 9.318518-9 9.120108+1 5.344300-9 1.819701+2 2.649951-9 3.630781+2 1.321148-9 1.445440+3 3.30498-10 1.000000+5 4.77250-12 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 3.230300-4 3.076700-5 1.000000+5 3.076700-5 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.230300-4 9.268800-8 1.000000+5 9.268800-8 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.230300-4 2.921703-4 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 3.179600-4 1.025886+5 3.190000-4 1.028268+5 3.204000-4 1.037292+5 3.215000-4 1.051938+5 3.223000-4 1.068156+5 3.230000-4 1.087314+5 3.238000-4 1.116036+5 3.245000-4 1.148154+5 3.252000-4 1.187832+5 3.258000-4 1.228716+5 3.264000-4 1.276746+5 3.271000-4 1.342890+5 3.277000-4 1.409250+5 3.283000-4 1.485504+5 3.290000-4 1.588248+5 3.298000-4 1.725804+5 3.308000-4 1.931544+5 3.316000-4 2.126160+5 3.328000-4 2.473782+5 3.343000-4 3.012126+5 3.365000-4 4.030002+5 3.380000-4 4.883610+5 3.390000-4 5.520900+5 3.400000-4 6.207660+5 3.411700-4 7.065246+5 3.423000-4 7.937580+5 3.433000-4 8.735340+5 3.440000-4 9.302880+5 3.450000-4 1.012008+6 3.461000-4 1.101804+6 3.472000-4 1.190538+6 3.483000-4 1.277340+6 3.495000-4 1.369056+6 3.508000-4 1.464192+6 3.519000-4 1.540902+6 3.530000-4 1.613952+6 3.545000-4 1.707570+6 3.558000-4 1.783164+6 3.573000-4 1.864176+6 3.590000-4 1.948284+6 3.610000-4 2.037342+6 3.630781-4 2.119239+6 3.650000-4 2.185944+6 3.673000-4 2.255052+6 3.700000-4 2.322204+6 3.730000-4 2.380548+6 3.758374-4 2.421479+6 3.795600-4 2.456817+6 3.830000-4 2.473962+6 3.865000-4 2.479212+6 3.900000-4 2.475114+6 3.950000-4 2.457930+6 4.050000-4 2.403132+6 4.280000-4 2.258904+6 4.430000-4 2.163192+6 4.600000-4 2.048706+6 4.786301-4 1.920857+6 5.150000-4 1.690488+6 5.432503-4 1.531919+6 5.688529-4 1.398984+6 6.100000-4 1.208718+6 6.606934-4 1.011912+6 7.079458-4 8.624124+5 7.585776-4 7.296503+5 8.317638-4 5.785236+5 9.120108-4 4.554449+5 1.000000-3 3.555234+5 1.096478-3 2.759397+5 1.216186-3 2.059119+5 1.355400-3 1.505178+5 1.513561-3 1.085103+5 1.678804-3 7.927217+4 1.900000-3 5.400468+4 2.113489-3 3.851984+4 2.344229-3 2.756295+4 2.660725-3 1.815716+4 3.025000-3 1.179073+4 3.388442-3 7.992158+3 3.758374-3 5.572619+3 4.216965-3 3.709447+3 4.800000-3 2.327946+3 5.432503-3 1.479637+3 6.165950-3 9.234716+2 6.918310-3 5.976552+2 7.800000-3 3.773862+2 8.912509-3 2.248292+2 1.047129-2 1.190610+2 1.202264-2 6.849305+1 1.380384-2 3.911144+1 1.603245-2 2.114952+1 1.862087-2 1.135195+1 2.187762-2 5.764213+0 2.630268-2 2.634800+0 3.235937-2 1.083224+0 4.265795-2 3.281849-1 7.413102-2 2.987833-2 9.225714-2 1.164000-2 1.135011-1 4.806570-3 1.303167-1 2.683356-3 1.496236-1 1.510559-3 1.678804-1 9.420467-4 1.862087-1 6.199370-4 2.065380-1 4.107987-4 2.290868-1 2.742978-4 2.511886-1 1.928830-4 2.754229-1 1.365808-4 3.019952-1 9.742741-5 3.311311-1 7.003130-5 3.630781-1 5.072678-5 3.981072-1 3.702890-5 4.315191-1 2.826933-5 4.677351-1 2.172859-5 5.069907-1 1.682890-5 5.432503-1 1.360955-5 5.821032-1 1.107609-5 6.095369-1 9.697930-6 6.531306-1 8.009150-6 7.079458-1 6.453766-6 7.943282-1 4.784196-6 8.709636-1 3.734429-6 9.225714-1 3.217160-6 9.660509-1 2.870940-6 1.011579+0 2.577677-6 1.071519+0 2.271146-6 1.135011+0 2.016050-6 1.202264+0 1.802003-6 1.288250+0 1.586767-6 1.412538+0 1.349879-6 1.819701+0 8.720078-7 2.065380+0 7.052644-7 2.317395+0 5.860915-7 2.630268+0 4.820547-7 3.019952+0 3.926851-7 3.507519+0 3.166427-7 4.120975+0 2.532210-7 4.841724+0 2.040394-7 5.754399+0 1.631486-7 6.918310+0 1.295018-7 8.413951+0 1.020755-7 1.059254+1 7.776349-8 1.400000+1 5.655500-8 1.840772+1 4.171850-8 2.511886+1 2.977804-8 3.507519+1 2.088538-8 5.370318+1 1.338423-8 9.225714+1 7.677439-9 1.840772+2 3.807186-9 3.672823+2 1.898342-9 1.462177+3 4.74871-10 1.000000+5 6.93700-12 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 3.179600-4 3.070400-5 1.000000+5 3.070400-5 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.179600-4 2.31060-10 1.000000+5 2.31060-10 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.179600-4 2.872558-4 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 8.852000-5 1.704714+5 9.070000-5 1.742298+5 9.332543-5 1.773308+5 9.660509-5 1.796793+5 1.011579-4 1.814235+5 1.083927-4 1.825692+5 1.202264-4 1.827285+5 1.303167-4 1.816247+5 1.380384-4 1.798090+5 1.462177-4 1.769179+5 1.548817-4 1.728206+5 1.640590-4 1.675620+5 1.737801-4 1.613354+5 1.862087-4 1.529715+5 2.018366-4 1.426100+5 2.238721-4 1.292272+5 2.454709-4 1.176130+5 2.691535-4 1.062849+5 2.951209-4 9.528949+4 3.273407-4 8.359804+4 3.715352-4 7.069502+4 4.168694-4 6.030453+4 4.700000-4 5.069520+4 5.500000-4 4.002520+4 6.309573-4 3.233492+4 7.500000-4 2.449600+4 8.810489-4 1.878290+4 1.071519-3 1.349609+4 1.333521-3 9.246606+3 1.659587-3 6.283098+3 2.041738-3 4.322470+3 2.483133-3 3.012191+3 3.000000-3 2.107580+3 3.589219-3 1.490462+3 4.315191-3 1.035974+3 5.188000-3 7.144386+2 6.237348-3 4.888166+2 7.413102-3 3.399413+2 8.810489-3 2.345897+2 1.035142-2 1.647398+2 1.216186-2 1.148498+2 1.428894-2 7.948593+1 1.678804-2 5.461117+1 1.972423-2 3.724433+1 2.317395-2 2.520749+1 2.722701-2 1.693341+1 3.198895-2 1.129455+1 3.758374-2 7.478113+0 4.466836-2 4.770032+0 5.248075-2 3.113021+0 6.309573-2 1.896221+0 7.673615-2 1.111036+0 9.225714-2 6.664195-1 1.202264-1 3.166973-1 2.317395-1 4.954133-2 2.786121-1 2.962831-2 3.273407-1 1.903384-2 3.758374-1 1.312084-2 4.265795-1 9.399292-3 4.786301-1 6.990593-3 5.308844-1 5.390790-3 5.888437-1 4.185110-3 6.531306-1 3.272590-3 7.244360-1 2.577988-3 8.035261-1 2.046085-3 8.810489-1 1.676100-3 9.660509-1 1.382598-3 1.096478+0 1.072163-3 1.216186+0 8.757075-4 1.348963+0 7.201914-4 1.513561+0 5.840313-4 1.698244+0 4.773875-4 1.949845+0 3.778374-4 2.187762+0 3.128250-4 2.454709+0 2.609274-4 2.786121+0 2.153477-4 3.273407+0 1.701481-4 3.801894+0 1.377662-4 4.466836+0 1.105983-4 5.248075+0 8.943734-5 6.309573+0 7.072585-5 7.673615+0 5.555057-5 9.660509+0 4.218431-5 1.174898+1 3.361772-5 1.513561+1 2.523488-5 2.018366+1 1.837107-5 2.818383+1 1.282128-5 4.265795+1 8.282988-6 6.606934+1 5.263769-6 1.244515+2 2.756627-6 2.483133+2 1.370888-6 9.885531+2 3.423921-7 6.237348+4 5.414630-9 1.000000+5 3.378500-9 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 8.852000-5 2.953900-5 1.000000+5 2.953900-5 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 8.852000-5 2.96010-10 1.000000+5 2.96010-10 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 8.852000-5 5.898070-5 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 5.884000-5 1.049472+6 5.940000-5 1.050900+6 6.000000-5 1.044900+6 6.070000-5 1.030712+6 6.165950-5 1.002656+6 6.260000-5 9.690380+5 6.382635-5 9.203028+5 6.500000-5 8.717080+5 6.650000-5 8.091740+5 6.850000-5 7.286300+5 7.079458-5 6.434435+5 7.400000-5 5.397120+5 8.222426-5 3.506871+5 8.511380-5 3.058174+5 8.834000-5 2.656423+5 9.120108-5 2.371510+5 9.400000-5 2.145280+5 9.660509-5 1.972664+5 9.900000-5 1.840478+5 1.020000-4 1.704092+5 1.050000-4 1.593908+5 1.080000-4 1.504550+5 1.110000-4 1.431804+5 1.148154-4 1.358157+5 1.180000-4 1.309414+5 1.220000-4 1.260876+5 1.260000-4 1.223280+5 1.303167-4 1.191988+5 1.364583-4 1.159434+5 1.430000-4 1.135164+5 1.531087-4 1.109828+5 1.850000-4 1.056634+5 2.018366-4 1.026391+5 2.187762-4 9.927185+4 2.371374-4 9.535613+4 2.570396-4 9.089984+4 2.786121-4 8.597046+4 3.019952-4 8.067866+4 3.273407-4 7.518365+4 3.600000-4 6.865460+4 3.935501-4 6.258629+4 4.265795-4 5.720296+4 4.700000-4 5.093140+4 5.188000-4 4.492710+4 5.754399-4 3.910814+4 6.309573-4 3.433793+4 7.000000-4 2.945660+4 7.852356-4 2.468425+4 8.810489-4 2.051014+4 1.000000-3 1.659778+4 1.135011-3 1.331765+4 1.288250-3 1.060162+4 1.450000-3 8.505260+3 1.630000-3 6.794240+3 1.819701-3 5.464251+3 2.041738-3 4.322590+3 2.290868-3 3.394690+3 2.576800-3 2.632629+3 2.884032-3 2.049454+3 3.235937-3 1.575497+3 3.630781-3 1.202750+3 4.073803-3 9.119990+2 4.623810-3 6.675346+2 5.248075-3 4.848638+2 5.956621-3 3.495488+2 6.760830-3 2.501024+2 7.673615-3 1.776419+2 8.709636-3 1.252509+2 9.885531-3 8.767393+1 1.135011-2 5.895141+1 1.303167-2 3.933188+1 1.500000-2 2.585100+1 1.737801-2 1.653370+1 2.018366-2 1.041232+1 2.344229-2 6.508608+0 2.818383-2 3.619943+0 3.273407-2 2.231998+0 3.890451-2 1.267800+0 4.731513-2 6.626416-1 6.025596-2 2.948288-1 1.202264-1 2.866875-2 1.500000-1 1.367824-2 1.798871-1 7.502218-3 2.089296-1 4.605425-3 2.398833-1 2.955056-3 2.722701-1 1.980640-3 3.090295-1 1.337183-3 3.467369-1 9.421731-4 3.890451-1 6.687082-4 4.315191-1 4.944955-4 4.786301-1 3.681844-4 5.308844-1 2.761670-4 5.888437-1 2.087363-4 6.531306-1 1.590000-4 7.161434-1 1.256748-4 7.852356-1 9.998319-5 8.709636-1 7.764675-5 9.332543-1 6.605836-5 9.885531-1 5.808463-5 1.059254+0 5.016197-5 1.135011+0 4.359118-5 1.216186+0 3.814713-5 1.348963+0 3.151990-5 1.548817+0 2.465383-5 1.778279+0 1.940346-5 2.044000+0 1.535900-5 2.290868+0 1.277772-5 2.600160+0 1.050186-5 2.985383+0 8.549478-6 3.467369+0 6.889924-6 4.027170+0 5.594146-6 4.731513+0 4.502832-6 5.623413+0 3.596813-6 6.760830+0 2.852455-6 8.222427+0 2.246362-6 1.035142+1 1.709947-6 1.364583+1 1.246183-6 1.800000+1 9.153600-7 2.454709+1 6.534305-7 3.427678+1 4.580821-7 5.308844+1 2.899643-7 9.120108+1 1.662976-7 1.819701+2 8.245822-8 3.630781+2 4.111260-8 1.445440+3 1.028409-8 1.000000+5 1.48510-10 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 5.884000-5 2.007100-5 1.000000+5 2.007100-5 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 5.884000-5 3.25830-10 1.000000+5 3.25830-10 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 5.884000-5 3.876867-5 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 5.478000-5 2.273956+6 5.530000-5 2.259460+6 5.590000-5 2.229300+6 5.650000-5 2.188256+6 5.740000-5 2.113732+6 5.850000-5 2.011012+6 5.960000-5 1.902832+6 6.095369-5 1.769331+6 6.237348-5 1.633609+6 6.456542-5 1.439216+6 6.760830-5 1.205663+6 7.413102-5 8.402992+5 7.673615-5 7.372940+5 7.943282-5 6.507398+5 8.150000-5 5.959640+5 8.400000-5 5.408840+5 8.650000-5 4.959360+5 8.900000-5 4.592520+5 9.150000-5 4.292680+5 9.400000-5 4.047080+5 9.660509-5 3.837511+5 9.950000-5 3.648872+5 1.023293-4 3.500045+5 1.059254-4 3.350011+5 1.100000-4 3.219844+5 1.135011-4 3.133080+5 1.174898-4 3.055083+5 1.230269-4 2.973157+5 1.303167-4 2.895740+5 1.412538-4 2.814632+5 1.659587-4 2.673876+5 1.819701-4 2.578215+5 1.972423-4 2.480375+5 2.150000-4 2.362180+5 2.344229-4 2.232333+5 2.540973-4 2.102331+5 2.754229-4 1.965373+5 3.000000-4 1.815868+5 3.294900-4 1.651304+5 3.630781-4 1.485668+5 4.000000-4 1.326648+5 4.365158-4 1.189812+5 4.850000-4 1.035036+5 5.370318-4 8.983777+4 5.956621-4 7.727293+4 6.700000-4 6.454800+4 7.585776-4 5.293556+4 8.511380-4 4.370164+4 9.772372-4 3.441047+4 1.110000-3 2.737256+4 1.258925-3 2.166267+4 1.412538-3 1.737465+4 1.584893-3 1.384770+4 1.778279-3 1.096788+4 2.000000-3 8.581360+3 2.238721-3 6.735058+3 2.511886-3 5.222759+3 2.818383-3 4.021670+3 3.162278-3 3.074751+3 3.548134-3 2.334240+3 4.000000-3 1.739480+3 4.518559-3 1.280591+3 5.128614-3 9.243771+2 5.821032-3 6.620822+2 6.606934-3 4.706414+2 7.498942-3 3.320472+2 8.511380-3 2.325132+2 9.660509-3 1.616229+2 1.096478-2 1.115516+2 1.244515-2 7.646465+1 1.428894-2 5.026189+1 1.640590-2 3.278491+1 1.883649-2 2.122813+1 2.187762-2 1.315206+1 2.511886-2 8.393590+0 2.917427-2 5.122672+0 3.427678-2 2.987864+0 4.073803-2 1.664367+0 4.954502-2 8.503860-1 6.237348-2 3.827656-1 8.317638-2 1.399549-1 1.216186-1 3.691039-2 1.513561-1 1.724828-2 1.778279-1 9.904216-3 2.065380-1 5.960401-3 2.344229-1 3.905027-3 2.630268-1 2.676389-3 2.951209-1 1.847739-3 3.273407-1 1.333234-3 3.630781-1 9.690503-4 4.000000-1 7.243400-4 4.415705-1 5.423027-4 4.841724-1 4.172130-4 5.248075-1 3.337701-4 5.754399-1 2.605303-4 6.309573-1 2.049355-4 6.918310-1 1.624582-4 7.585776-1 1.297902-4 8.511380-1 9.895402-5 9.120108-1 8.460728-5 9.772372-1 7.280806-5 1.071519+0 6.019061-5 1.174898+0 5.011925-5 1.288250+0 4.208655-5 1.428894+0 3.482916-5 1.640590+0 2.728808-5 1.883649+0 2.154829-5 2.137962+0 1.747262-5 2.398833+0 1.455231-5 2.722701+0 1.199455-5 3.198895+0 9.465949-6 3.715352+0 7.655699-6 4.365158+0 6.139328-6 5.128614+0 4.959636-6 6.095369+0 3.975440-6 7.413102+0 3.118209-6 9.120108+0 2.430564-6 1.109175+1 1.932638-6 1.445440+1 1.430080-6 1.905461+1 1.052847-6 2.630268+1 7.429322-7 3.801894+1 5.029464-7 5.754399+1 3.266462-7 1.000000+2 1.853600-7 1.995262+2 9.199194-8 3.981072+2 4.588520-8 1.584893+3 1.148135-8 1.000000+5 1.81830-10 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 5.478000-5 1.986000-5 1.000000+5 1.986000-5 1 45000 7 7 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 5.478000-5 2.37380-10 1.000000+5 2.37380-10 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 5.478000-5 3.491976-5 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.024000-5 3.721600+6 1.060000-5 3.817664+6 1.109175-5 3.981248+6 1.161449-5 4.182266+6 1.244515-5 4.540989+6 1.364583-5 5.112898+6 2.041738-5 8.764349+6 2.264644-5 1.001263+7 2.454709-5 1.103570+7 2.610000-5 1.180704+7 2.730000-5 1.233229+7 2.851700-5 1.278275+7 2.951209-5 1.307980+7 3.054921-5 1.331076+7 3.162278-5 1.345410+7 3.273407-5 1.349546+7 3.350000-5 1.345894+7 3.450000-5 1.333226+7 3.548134-5 1.312474+7 3.650000-5 1.282947+7 3.758374-5 1.243687+7 3.850000-5 1.205162+7 3.950000-5 1.158595+7 4.030000-5 1.118666+7 4.150000-5 1.055603+7 4.265795-5 9.925844+6 4.400000-5 9.187264+6 4.518559-5 8.541182+6 4.650000-5 7.844000+6 4.800000-5 7.084064+6 4.954502-5 6.349686+6 5.128614-5 5.586981+6 5.300000-5 4.905952+6 5.450000-5 4.366208+6 5.623413-5 3.805096+6 5.800000-5 3.298400+6 5.956621-5 2.899133+6 6.150000-5 2.465232+6 6.309573-5 2.151772+6 6.500000-5 1.824979+6 6.683439-5 1.553465+6 6.850000-5 1.339376+6 7.000000-5 1.170016+6 7.161434-5 1.009882+6 7.350000-5 8.486048+5 7.500000-5 7.378560+5 7.673615-5 6.267175+5 7.852356-5 5.290434+5 8.080000-5 4.257088+5 8.317638-5 3.389979+5 8.650000-5 2.469462+5 9.070000-5 1.677331+5 9.300000-5 1.375597+5 9.450000-5 1.218486+5 9.580000-5 1.104115+5 9.720000-5 1.000934+5 9.850000-5 9.215936+4 9.950000-5 8.702112+4 1.005000-4 8.264128+4 1.015000-4 7.895264+4 1.025000-4 7.589440+4 1.035142-4 7.337848+4 1.045000-4 7.144704+4 1.055000-4 6.995872+4 1.065000-4 6.890080+4 1.075000-4 6.823328+4 1.085000-4 6.791936+4 1.096478-4 6.795149+4 1.110000-4 6.846656+4 1.124000-4 6.947520+4 1.135011-4 7.056439+4 1.150000-4 7.240896+4 1.170000-4 7.541568+4 1.198000-4 8.043648+4 1.303167-4 1.034097+5 1.348963-4 1.138408+5 1.390000-4 1.228509+5 1.430000-4 1.311229+5 1.465000-4 1.378781+5 1.500000-4 1.441581+5 1.548817-4 1.520698+5 1.600000-4 1.592474+5 1.650000-4 1.652138+5 1.705000-4 1.707075+5 1.760000-4 1.751203+5 1.820000-4 1.787904+5 1.883649-4 1.816166+5 1.950000-4 1.835251+5 2.018366-4 1.844604+5 2.113489-4 1.844401+5 2.190000-4 1.834576+5 2.300000-4 1.807862+5 2.400000-4 1.774387+5 2.511886-4 1.727854+5 2.650000-4 1.662874+5 2.800000-4 1.585501+5 2.951209-4 1.505367+5 3.126079-4 1.412601+5 3.311311-4 1.317396+5 3.507519-4 1.221155+5 3.715352-4 1.125443+5 3.981072-4 1.013167+5 4.265795-4 9.055600+4 4.570882-4 8.039202+4 4.954502-4 6.941646+4 5.370318-4 5.949540+4 5.821032-4 5.062002+4 6.309573-4 4.276661+4 6.839116-4 3.589607+4 7.498942-4 2.917231+4 8.222426-4 2.353815+4 9.120108-4 1.834443+4 1.011579-3 1.418847+4 1.122018-3 1.089963+4 1.244515-3 8.311476+3 1.355400-3 6.608905+3 1.500000-3 4.945421+3 1.883649-3 2.555183+3 2.000000-3 2.154702+3 2.162719-3 1.762426+3 2.290868-3 1.510755+3 2.398833-3 1.327314+3 2.511886-3 1.158669+3 2.600160-3 1.040187+3 2.691535-3 9.273426+2 2.722701-3 8.903102+2 2.818383-3 7.810293+2 2.951209-3 6.502986+2 3.025000-3 5.881905+2 3.162278-3 5.009945+2 3.311311-3 4.269416+2 3.507519-3 3.521718+2 3.801894-3 2.714642+2 4.000000-3 2.310202+2 4.466836-3 1.577315+2 5.011872-3 1.051957+2 5.623413-3 6.967312+1 6.382635-3 4.394986+1 7.244360-3 2.751038+1 8.222426-3 1.708679+1 9.332543-3 1.053212+1 1.071519-2 6.163845+0 1.230269-2 3.579853+0 1.412538-2 2.063969+0 1.621810-2 1.181457+0 1.883649-2 6.408257-1 2.238721-2 3.138317-1 2.691535-2 1.453719-1 3.349654-2 5.780745-2 4.518559-2 1.621420-2 7.244360-2 2.172650-3 9.015711-2 8.613617-4 1.096478-1 3.791598-4 1.288250-1 1.942903-4 1.496236-1 1.052107-4 1.717908-1 6.016583-5 1.949845-1 3.631745-5 2.187762-1 2.312050-5 2.454709-1 1.482883-5 2.722701-1 1.000943-5 3.019952-1 6.801665-6 3.349654-1 4.654009-6 3.715352-1 3.208580-6 4.120975-1 2.229620-6 4.518559-1 1.624618-6 4.954502-1 1.192461-6 5.432503-1 8.825161-7 5.956621-1 6.581072-7 6.531306-1 4.938877-7 7.161434-1 3.734055-7 7.762471-1 2.943116-7 8.511380-1 2.245484-7 9.015711-1 1.907451-7 9.440609-1 1.685014-7 9.885531-1 1.499144-7 1.035142+0 1.344632-7 1.083927+0 1.214420-7 1.135011+0 1.103597-7 1.202264+0 9.868246-8 1.288250+0 8.705021-8 1.412538+0 7.424694-8 1.531087+0 6.477818-8 1.840772+0 4.711435-8 2.065380+0 3.885241-8 2.317395+0 3.228781-8 2.630268+0 2.655586-8 3.019952+0 2.163174-8 3.507519+0 1.744268-8 4.120975+0 1.394901-8 4.841724+0 1.123987-8 5.754399+0 8.987489-9 6.918310+0 7.133960-9 8.413951+0 5.623220-9 1.059254+1 4.283834-9 1.400000+1 3.115500-9 1.840772+1 2.298228-9 2.511886+1 1.640416-9 3.548134+1 1.136593-9 5.495409+1 7.19959-10 9.440609+1 4.13115-10 1.883649+2 2.04913-10 3.758374+2 1.02181-10 1.496236+3 2.55633-11 1.000000+5 3.82150-13 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.024000-5 1.024000-5 1.000000+5 1.024000-5 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.024000-5 0.0 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 9.810000-6 5.767920+6 1.011579-5 5.918399+6 1.070000-5 6.264384+6 1.135011-5 6.699280+6 1.244515-5 7.502394+6 1.717908-5 1.129611+7 2.041738-5 1.398272+7 2.264644-5 1.580704+7 2.426610-5 1.705748+7 2.580000-5 1.813320+7 2.691535-5 1.882120+7 2.818383-5 1.947319+7 2.917427-5 1.986555+7 3.019952-5 2.015199+7 3.126079-5 2.030594+7 3.235937-5 2.030834+7 3.330000-5 2.018381+7 3.427678-5 1.993346+7 3.507519-5 1.964085+7 3.610000-5 1.915771+7 3.715352-5 1.854972+7 3.801894-5 1.797974+7 3.900000-5 1.727280+7 4.000000-5 1.650206+7 4.120975-5 1.552424+7 4.229500-5 1.462359+7 4.350000-5 1.361750+7 4.466836-5 1.265333+7 4.610000-5 1.150786+7 4.731513-5 1.057951+7 4.850000-5 9.720000+6 5.011872-5 8.624389+6 5.150000-5 7.763520+6 5.308844-5 6.858244+6 5.450000-5 6.128400+6 5.623413-5 5.323136+6 5.800000-5 4.598957+6 5.956621-5 4.030267+6 6.095369-5 3.579197+6 6.237348-5 3.164686+6 6.400000-5 2.743282+6 6.580000-5 2.336794+6 6.760830-5 1.984423+6 6.950000-5 1.668312+6 7.150000-5 1.384891+6 7.350000-5 1.146653+6 7.500000-5 9.937968+5 7.673615-5 8.409862+5 7.900000-5 6.752544+5 8.128305-5 5.404793+5 8.413951-5 4.091989+5 8.950000-5 2.467973+5 9.150000-5 2.070624+5 9.300000-5 1.829347+5 9.450000-5 1.629902+5 9.580000-5 1.486766+5 9.680000-5 1.393387+5 9.800000-5 1.298582+5 9.900000-5 1.232597+5 1.000000-4 1.177320+5 1.010000-4 1.131792+5 1.020000-4 1.095130+5 1.030000-4 1.066517+5 1.040000-4 1.045205+5 1.050000-4 1.030512+5 1.060000-4 1.021800+5 1.071519-4 1.018428+5 1.085000-4 1.022506+5 1.100000-4 1.035869+5 1.115000-4 1.057176+5 1.128000-4 1.081123+5 1.150000-4 1.131221+5 1.174898-4 1.199334+5 1.280000-4 1.552171+5 1.318257-4 1.686907+5 1.350000-4 1.796102+5 1.390000-4 1.927478+5 1.430000-4 2.049922+5 1.465000-4 2.149099+5 1.500000-4 2.240573+5 1.548817-4 2.354458+5 1.600000-4 2.456501+5 1.659587-4 2.555116+5 1.720000-4 2.634710+5 1.780000-4 2.694350+5 1.850000-4 2.743877+5 1.927525-4 2.777108+5 2.000000-4 2.789462+5 2.089296-4 2.786613+5 2.162719-4 2.770370+5 2.264644-4 2.731634+5 2.371374-4 2.675903+5 2.500000-4 2.592062+5 2.600160-4 2.519076+5 2.760000-4 2.392762+5 2.917427-4 2.263806+5 3.090295-4 2.123342+5 3.294900-4 1.962540+5 3.507519-4 1.804369+5 3.758374-4 1.631674+5 4.027170-4 1.464319+5 4.315191-4 1.305040+5 4.623810-4 1.155390+5 5.011872-4 9.946058+4 5.432503-4 8.498584+4 5.888437-4 7.209327+4 6.382635-4 6.074286+4 7.000000-4 4.953216+4 7.673615-4 4.012573+4 8.413951-4 3.226243+4 9.332543-4 2.505121+4 1.023293-3 1.987752+4 1.135011-3 1.520520+4 1.258925-3 1.153921+4 1.396368-3 8.689267+3 1.548817-3 6.493760+3 1.717908-3 4.817107+3 1.905461-3 3.547054+3 2.113489-3 2.592677+3 2.344229-3 1.881428+3 2.600160-3 1.355808+3 2.884032-3 9.704300+2 3.198895-3 6.900044+2 3.589219-3 4.688514+2 4.027170-3 3.161891+2 4.518559-3 2.117017+2 5.069907-3 1.404239+2 5.754399-3 8.869000+1 6.606934-3 5.331099+1 7.498942-3 3.318134+1 8.413951-3 2.141448+1 9.549926-3 1.313038+1 1.083927-2 7.994329+0 1.244515-2 4.617273+0 1.428894-2 2.646561+0 1.640590-2 1.505596+0 1.905461-2 8.109433-1 2.238721-2 4.132905-1 2.660725-2 1.991773-1 3.273407-2 8.225278-2 4.168694-2 2.906802-2 7.585776-2 2.184903-3 9.440609-2 8.538016-4 1.122019-1 4.095253-4 1.303167-1 2.182404-4 1.479108-1 1.289950-4 1.678804-1 7.678287-5 1.883649-1 4.827631-5 2.089296-1 3.202642-5 2.317395-1 2.140961-5 2.540973-1 1.506885-5 2.786121-1 1.067760-5 3.054921-1 7.619821-6 3.349654-1 5.479926-6 3.630781-1 4.134579-6 3.935501-1 3.141138-6 4.265795-1 2.403149-6 4.623810-1 1.851582-6 5.011872-1 1.437002-6 5.432503-1 1.123731-6 5.888437-1 8.852801-7 6.382635-1 7.026430-7 6.918310-1 5.618654-7 7.498942-1 4.526680-7 8.413951-1 3.359068-7 8.912509-1 2.909012-7 9.440609-1 2.534785-7 1.000000+0 2.224600-7 1.071519+0 1.919270-7 1.148154+0 1.668189-7 1.216186+0 1.493761-7 1.348963+0 1.235916-7 1.603245+0 9.114033-8 1.840772+0 7.185717-8 2.089296+0 5.818132-8 2.344229+0 4.838784-8 2.660725+0 3.982624-8 3.090295+0 3.191886-8 3.589219+0 2.576894-8 4.216965+0 2.063091-8 4.954502+0 1.664112-8 5.888437+0 1.331890-8 7.161434+0 1.043308-8 8.709636+0 8.234319-9 1.071519+1 6.450438-9 1.412538+1 4.706790-9 1.862087+1 3.463014-9 2.540973+1 2.472588-9 3.589219+1 1.713665-9 5.495409+1 1.098647-9 9.549926+1 6.23052-10 1.905461+2 3.09078-10 3.801894+2 1.54132-10 1.513561+3 3.85619-11 1.000000+5 5.83150-13 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 9.810000-6 9.810000-6 1.000000+5 9.810000-6 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 9.810000-6 0.0 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 6.560000-6 1.564650+6 6.683439-6 1.427083+6 7.000000-6 1.122060+6 7.328245-6 8.779325+5 7.600000-6 7.188720+5 7.943282-6 5.601033+5 8.222426-6 4.581629+5 8.511380-6 3.725618+5 8.810489-6 3.010694+5 9.120108-6 2.416044+5 9.440609-6 1.923411+5 9.700000-6 1.598270+5 9.930000-6 1.355220+5 1.020000-5 1.115200+5 1.047129-5 9.152715+4 1.071519-5 7.649191+4 1.096478-5 6.352950+4 1.122018-5 5.240637+4 1.148154-5 4.291470+4 1.172000-5 3.566690+4 1.190000-5 3.096520+4 1.216186-5 2.514509+4 1.244515-5 2.001410+4 1.273503-5 1.581172+4 1.350000-5 8.571620+3 1.372000-5 7.275510+3 1.390000-5 6.416790+3 1.405000-5 5.824310+3 1.415000-5 5.485930+3 1.428894-5 5.084869+3 1.440000-5 4.817810+3 1.450000-5 4.615000+3 1.462177-5 4.412812+3 1.470000-5 4.307180+3 1.480000-5 4.198000+3 1.490000-5 4.116070+3 1.500000-5 4.059580+3 1.511000-5 4.024830+3 1.522000-5 4.016740+3 1.535000-5 4.038840+3 1.548817-5 4.096757+3 1.560000-5 4.167340+3 1.575000-5 4.292260+3 1.590000-5 4.448470+3 1.610000-5 4.699700+3 1.630000-5 4.993510+3 1.660000-5 5.500420+3 1.737801-5 7.073396+3 1.778279-5 7.981794+3 1.819701-5 8.942212+3 1.860000-5 9.888700+3 1.900000-5 1.082580+4 1.935000-5 1.163710+4 1.980000-5 1.265900+4 2.020000-5 1.354130+4 2.070000-5 1.460310+4 2.113489-5 1.548587+4 2.170000-5 1.657270+4 2.230000-5 1.765030+4 2.300000-5 1.880840+4 2.371374-5 1.988248+4 2.454709-5 2.100708+4 2.540973-5 2.203435+4 2.630268-5 2.296339+4 2.730000-5 2.385600+4 2.851018-5 2.475834+4 2.985383-5 2.556006+4 3.126079-5 2.620771+4 3.300000-5 2.678340+4 3.500000-5 2.720290+4 3.730000-5 2.744490+4 4.000000-5 2.748830+4 4.315191-5 2.730861+4 4.650000-5 2.692790+4 5.011872-5 2.636806+4 5.432503-5 2.560418+4 5.888437-5 2.469110+4 6.382635-5 2.364429+4 6.918310-5 2.248126+4 7.500000-5 2.122350+4 8.128305-5 1.989612+4 8.810489-5 1.850942+4 9.549926-5 1.710202+4 1.040000-4 1.561550+4 1.150000-4 1.390700+4 1.273503-4 1.227052+4 1.450000-4 1.037400+4 1.678804-4 8.514043+3 2.065380-4 6.382137+3 2.917427-4 3.936425+3 3.427678-4 3.122001+3 3.935501-4 2.541036+3 4.466836-4 2.083640+3 5.688529-4 1.411299+3 6.760830-4 1.060259+3 8.317638-4 7.456730+2 1.023293-3 5.208065+2 1.273503-3 3.536988+2 1.513561-3 2.591283+2 1.798871-3 1.883923+2 2.000000-3 1.557583+2 2.511886-3 1.061330+2 2.754229-3 8.970606+1 3.054921-3 7.369264+1 3.427678-3 5.876683+1 3.890451-3 4.546802+1 4.570882-3 3.253565+1 5.069907-3 2.618749+1 6.165950-3 1.749295+1 7.328245-3 1.216763+1 8.609938-3 8.611060+0 1.023293-2 5.899088+0 1.202264-2 4.113955+0 1.412538-2 2.848384+0 1.659587-2 1.957493+0 1.949845-2 1.335286+0 2.290868-2 9.042171-1 2.691535-2 6.078961-1 3.162278-2 4.056639-1 3.715352-2 2.686676-1 4.415704-2 1.714286-1 5.248075-2 1.085348-1 6.309573-2 6.611274-2 7.673615-2 3.874044-2 9.120108-2 2.399765-2 1.174898-1 1.178566-2 2.317395-1 1.728107-3 2.786121-1 1.033624-3 3.273407-1 6.641202-4 3.758374-1 4.578915-4 4.265795-1 3.281003-4 4.786301-1 2.440966-4 5.308844-1 1.882994-4 5.888437-1 1.462483-4 6.531306-1 1.144253-4 7.244360-1 9.020604-5 8.035261-1 7.166560-5 8.810489-1 5.879314-5 9.660509-1 4.855569-5 1.135011+0 3.517682-5 1.230269+0 3.011142-5 1.412538+0 2.326211-5 1.548817+0 1.969373-5 1.737801+0 1.611936-5 2.000000+0 1.272500-5 2.238721+0 1.059212-5 2.511886+0 8.847224-6 2.851018+0 7.311186-6 3.349654+0 5.783455-6 3.890451+0 4.688025-6 4.570882+0 3.767533-6 5.432503+0 3.004761-6 6.531306+0 2.379540-6 8.000000+0 1.855500-6 1.023293+1 1.385076-6 1.318257+1 1.035592-6 1.717908+1 7.701662-7 2.317395+1 5.555908-7 3.235937+1 3.890238-7 5.069907+1 2.430625-7 8.609938+1 1.409510-7 1.717908+2 6.984711-8 3.427678+2 3.481379-8 1.364583+3 8.706945-9 1.000000+5 1.18680-10 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 6.560000-6 6.560000-6 1.000000+5 6.560000-6 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 6.560000-6 0.0 1.000000+5 1.000000+5 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.188570-7 1.028750+0 1.188570-6 1.029500+0 1.626590-6 1.030100+0 2.045630-6 1.031000+0 2.799120-6 1.032000+0 3.829900-6 1.033200+0 5.365050-6 1.034000+0 6.586090-6 1.035300+0 8.939680-6 1.036640+0 1.188570-5 1.038200+0 1.604010-5 1.039700+0 2.083930-5 1.041500+0 2.772650-5 1.043800+0 3.848530-5 1.046400+0 5.354500-5 1.048300+0 6.666500-5 1.051200+0 9.042970-5 1.054080+0 1.188570-4 1.057700+0 1.620100-4 1.061100+0 2.107350-4 1.065100+0 2.789910-4 1.070400+0 3.892240-4 1.076200+0 5.379080-4 1.080600+0 6.717600-4 1.087100+0 9.050770-4 1.093710+0 1.188570-3 1.102600+0 1.647870-3 1.110700+0 2.149030-3 1.120600+0 2.874560-3 1.133300+0 3.996560-3 1.147500+0 5.517730-3 1.158200+0 6.857110-3 1.174100+0 9.165470-3 1.190110+0 1.188570-2 1.205100+0 1.479950-2 1.227500+0 1.981280-2 1.250000+0 2.559000-2 1.265600+0 2.998070-2 1.294900+0 3.898370-2 1.331800+0 5.151770-2 1.362600+0 6.281660-2 1.397000+0 7.618510-2 1.455800+0 1.006380-1 1.500000+0 1.204000-1 1.589800+0 1.647090-1 1.665000+0 2.059660-1 1.784700+0 2.783380-1 1.892300+0 3.485840-1 2.000000+0 4.213000-1 2.044000+0 4.511000-1 2.163500+0 5.326970-1 2.372600+0 6.768080-1 2.647100+0 8.648410-1 3.000000+0 1.100000+0 3.437500+0 1.377180+0 4.000000+0 1.710000+0 4.750000+0 2.114720+0 5.000000+0 2.240000+0 6.000000+0 2.698000+0 7.000000+0 3.108000+0 8.000000+0 3.477000+0 9.000000+0 3.812000+0 1.000000+1 4.119000+0 1.100000+1 4.401000+0 1.200000+1 4.660000+0 1.300000+1 4.900000+0 1.400000+1 5.121000+0 1.500000+1 5.325000+0 1.600000+1 5.516000+0 1.800000+1 5.866000+0 2.000000+1 6.179000+0 2.200000+1 6.464000+0 2.400000+1 6.722000+0 2.600000+1 6.958000+0 2.800000+1 7.174000+0 3.000000+1 7.373000+0 4.000000+1 8.180000+0 5.000000+1 8.778000+0 6.000000+1 9.245000+0 8.000000+1 9.934000+0 1.000000+2 1.042000+1 1.500000+2 1.120000+1 2.000000+2 1.167000+1 3.000000+2 1.221000+1 4.000000+2 1.252000+1 5.000000+2 1.273000+1 6.000000+2 1.287000+1 8.000000+2 1.307000+1 1.000000+3 1.319000+1 1.500000+3 1.338000+1 2.000000+3 1.348000+1 3.000000+3 1.358000+1 4.000000+3 1.364000+1 5.000000+3 1.368000+1 6.000000+3 1.371000+1 8.000000+3 1.374000+1 1.000000+4 1.376000+1 1.500000+4 1.379000+1 2.000000+4 1.380000+1 3.000000+4 1.382000+1 4.000000+4 1.383000+1 5.000000+4 1.383000+1 6.000000+4 1.384000+1 8.000000+4 1.384000+1 1.000000+5 1.385000+1 1 45000 7 8 1.029050+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 4.514680-7 2.099900+0 1.057400-6 2.106600+0 1.470930-6 2.114000+0 2.035220-6 2.119500+0 2.533840-6 2.127900+0 3.436360-6 2.136250+0 4.514680-6 2.147000+0 6.189940-6 2.156900+0 8.039990-6 2.169000+0 1.072990-5 2.184500+0 1.491490-5 2.201800+0 2.063520-5 2.214800+0 2.570980-5 2.234200+0 3.458420-5 2.253680+0 4.514680-5 2.281500+0 6.323610-5 2.307000+0 8.306040-5 2.338200+0 1.116820-4 2.377400+0 1.546660-4 2.410200+0 1.967090-4 2.446800+0 2.502250-4 2.485900+0 3.150470-4 2.532900+0 4.031930-4 2.556430+0 4.514680-4 2.611900+0 5.756710-4 2.660400+0 6.959550-4 2.745300+0 9.314900-4 2.809000+0 1.128090-3 2.904500+0 1.453270-3 3.000000+0 1.814000-3 3.125000+0 2.339100-3 3.234400+0 2.846180-3 3.425800+0 3.832830-3 3.569300+0 4.647780-3 3.784700+0 5.974980-3 4.000000+0 7.402000-3 4.250000+0 9.147000-3 4.625000+0 1.188970-2 5.000000+0 1.474000-2 5.500000+0 1.864940-2 6.000000+0 2.261000-2 6.750000+0 2.850800-2 7.000000+0 3.045000-2 8.000000+0 3.805000-2 9.000000+0 4.532000-2 1.000000+1 5.223000-2 1.100000+1 5.876000-2 1.200000+1 6.492000-2 1.300000+1 7.073000-2 1.400000+1 7.626000-2 1.500000+1 8.149000-2 1.600000+1 8.646000-2 1.800000+1 9.566000-2 2.000000+1 1.040000-1 2.200000+1 1.117000-1 2.400000+1 1.188000-1 2.600000+1 1.253000-1 2.800000+1 1.313000-1 3.000000+1 1.369000-1 4.000000+1 1.602000-1 5.000000+1 1.778000-1 6.000000+1 1.919000-1 8.000000+1 2.130000-1 1.000000+2 2.284000-1 1.500000+2 2.540000-1 2.000000+2 2.700000-1 3.000000+2 2.896000-1 4.000000+2 3.014000-1 5.000000+2 3.094000-1 6.000000+2 3.153000-1 8.000000+2 3.235000-1 1.000000+3 3.289000-1 1.500000+3 3.370000-1 2.000000+3 3.415000-1 3.000000+3 3.465000-1 4.000000+3 3.494000-1 5.000000+3 3.512000-1 6.000000+3 3.525000-1 8.000000+3 3.541000-1 1.000000+4 3.552000-1 1.500000+4 3.566000-1 2.000000+4 3.575000-1 3.000000+4 3.583000-1 4.000000+4 3.588000-1 5.000000+4 3.591000-1 6.000000+4 3.593000-1 8.000000+4 3.595000-1 1.000000+5 3.597000-1 1 45000 7 8 1.029050+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 45000 7 9 1.029050+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 4.500000+1 1.000000+5 4.500000+1 5.000000+5 4.498700+1 1.000000+6 4.495800+1 1.375000+6 4.492560+1 1.500000+6 4.491200+1 1.875000+6 4.486290+1 2.000000+6 4.484400+1 2.500000+6 4.475700+1 3.000000+6 4.465200+1 3.500000+6 4.453020+1 4.000000+6 4.439300+1 4.500000+6 4.424160+1 5.000000+6 4.407500+1 5.687500+6 4.381810+1 6.437500+6 4.351490+1 6.500000+6 4.348970+1 7.000000+6 4.327500+1 7.500000+6 4.304950+1 8.250000+6 4.269220+1 8.500000+6 4.257210+1 9.000000+6 4.232400+1 1.000000+7 4.180600+1 1.125000+7 4.113230+1 1.187500+7 4.078500+1 1.250000+7 4.043600+1 1.437500+7 3.935770+1 1.500000+7 3.899500+1 1.687500+7 3.789560+1 1.750000+7 3.753000+1 2.000000+7 3.606800+1 2.250000+7 3.462550+1 2.500000+7 3.322400+1 2.875000+7 3.122940+1 3.000000+7 3.059900+1 3.500000+7 2.826450+1 4.000000+7 2.624400+1 4.750000+7 2.373900+1 5.000000+7 2.302900+1 5.500000+7 2.176180+1 6.000000+7 2.066600+1 6.750000+7 1.924600+1 7.000000+7 1.881500+1 7.750000+7 1.759810+1 8.000000+7 1.721200+1 8.750000+7 1.608490+1 9.000000+7 1.572000+1 9.750000+7 1.464760+1 1.000000+8 1.430000+1 1.062500+8 1.344940+1 1.144500+8 1.238930+1 1.187500+8 1.186150+1 1.214800+8 1.153580+1 1.250000+8 1.112900+1 1.375000+8 9.804960+0 1.500000+8 8.706900+0 1.625000+8 7.830110+0 1.718800+8 7.290910+0 1.750000+8 7.131080+0 1.859400+8 6.636190+0 2.000000+8 6.126200+0 2.125000+8 5.767900+0 2.312500+8 5.342950+0 2.375000+8 5.222920+0 2.500000+8 5.006100+0 2.750000+8 4.624390+0 2.875000+8 4.432930+0 3.000000+8 4.230600+0 3.500000+8 3.455200+0 3.812500+8 3.130390+0 3.937500+8 3.002850+0 4.000000+8 2.935200+0 4.125000+8 2.790740+0 4.234400+8 2.660170+0 4.750000+8 2.099630+0 5.000000+8 1.895300+0 5.125000+8 1.811930+0 5.343800+8 1.689800+0 5.507800+8 1.613190+0 5.753900+8 1.515660+0 6.000000+8 1.432400+0 6.343800+8 1.333420+0 6.578100+8 1.277010+0 6.859400+8 1.220930+0 7.000000+8 1.197500+0 7.250000+8 1.163500+0 8.000000+8 1.078400+0 8.250000+8 1.049210+0 8.687500+8 9.955880-1 9.261700+8 9.249020-1 1.000000+9 8.401000-1 1.089800+9 7.500600-1 1.165000+9 6.834840-1 1.248800+9 6.163730-1 1.311600+9 5.700760-1 1.358700+9 5.373650-1 1.375000+9 5.263790-1 1.429300+9 4.911800-1 1.500000+9 4.481500-1 1.562500+9 4.126420-1 1.617200+9 3.836140-1 1.712900+9 3.374420-1 1.784700+9 3.065660-1 1.892300+9 2.658350-1 2.000000+9 2.311000-1 2.139200+9 1.937720-1 2.272600+9 1.645420-1 2.443000+9 1.345200-1 2.602800+9 1.121870-1 2.825100+9 8.813770-2 3.097000+9 6.672280-2 3.334900+9 5.303130-2 3.543000+9 4.380890-2 3.907300+9 3.199150-2 4.385300+9 2.192110-2 5.000000+9 1.416300-2 5.750000+9 8.839330-3 7.437500+9 3.676660-3 8.000000+9 2.865200-3 1.00000+10 1.337800-3 1.20500+10 7.127620-4 1.41820+10 4.135720-4 1.71170+10 2.220150-4 2.01490+10 1.301530-4 2.50620+10 6.415570-5 2.97450+10 3.701010-5 3.62610+10 1.969990-5 4.42280+10 1.052440-5 5.44530+10 5.487670-6 7.07200+10 2.436970-6 9.02400+10 1.150020-6 1.00000+11 8.392700-7 1.34280+11 3.413720-7 1.77440+11 1.466390-7 2.63330+11 4.469510-8 3.75720+11 1.546280-8 6.61190+11 2.901350-9 1.48990+12 2.69112-10 4.26460+12 1.28700-11 1.00000+14 1.57750-15 5.62340+14 1.11510-17 7.49890+15 6.26263-21 1.00000+17 3.39330-24 1 45000 7 0 1.029050+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 5.60000-12 1.000000+2 5.60000-10 1.000000+3 5.600000-8 1.000000+4 5.600000-6 1.000000+5 5.600000-4 5.000000+5 1.400000-2 1.000000+6 5.600000-2 1.375000+6 1.059290-1 1.500000+6 1.259000-1 1.875000+6 1.950640-1 2.000000+6 2.212000-1 2.500000+6 3.405000-1 3.000000+6 4.817000-1 3.500000+6 6.422230-1 4.000000+6 8.196000-1 4.500000+6 1.011400+0 5.000000+6 1.215000+0 5.687500+6 1.509580+0 6.437500+6 1.844930+0 6.500000+6 1.873390+0 7.000000+6 2.102700+0 7.500000+6 2.334300+0 8.250000+6 2.684210+0 8.500000+6 2.800880+0 9.000000+6 3.034500+0 1.000000+7 3.499000+0 1.125000+7 4.073860+0 1.187500+7 4.358760+0 1.250000+7 4.641900+0 1.437500+7 5.478400+0 1.500000+7 5.753000+0 1.687500+7 6.562880+0 1.750000+7 6.828300+0 2.000000+7 7.863000+0 2.250000+7 8.853680+0 2.500000+7 9.802100+0 2.875000+7 1.115470+1 3.000000+7 1.159100+1 3.500000+7 1.327730+1 4.000000+7 1.488300+1 4.750000+7 1.714760+1 5.000000+7 1.785800+1 5.500000+7 1.919670+1 6.000000+7 2.042800+1 6.750000+7 2.206150+1 7.000000+7 2.255700+1 7.750000+7 2.390550+1 8.000000+7 2.431800+1 8.750000+7 2.546120+1 9.000000+7 2.581900+1 9.750000+7 2.682660+1 1.000000+8 2.714800+1 1.062500+8 2.791630+1 1.144500+8 2.886100+1 1.187500+8 2.933370+1 1.214800+8 2.962320+1 1.250000+8 2.999100+1 1.375000+8 3.120820+1 1.500000+8 3.230900+1 1.625000+8 3.329590+1 1.718800+8 3.397290+1 1.750000+8 3.418560+1 1.859400+8 3.489440+1 2.000000+8 3.571500+1 2.125000+8 3.636750+1 2.312500+8 3.724120+1 2.375000+8 3.751010+1 2.500000+8 3.800900+1 2.750000+8 3.888930+1 2.875000+8 3.928090+1 3.000000+8 3.964300+1 3.500000+8 4.083300+1 3.812500+8 4.140340+1 3.937500+8 4.159780+1 4.000000+8 4.169300+1 4.125000+8 4.186260+1 4.234400+8 4.200740+1 4.750000+8 4.254970+1 5.000000+8 4.276100+1 5.125000+8 4.285240+1 5.343800+8 4.300080+1 5.507800+8 4.310180+1 5.753900+8 4.324020+1 6.000000+8 4.336600+1 6.343800+8 4.351780+1 6.578100+8 4.361390+1 6.859400+8 4.371830+1 7.000000+8 4.376900+1 7.250000+8 4.384920+1 8.000000+8 4.407000+1 8.250000+8 4.413070+1 8.687500+8 4.423270+1 9.261700+8 4.435110+1 1.000000+9 4.448100+1 1.089800+9 4.460030+1 1.165000+9 4.468010+1 1.248800+9 4.475520+1 1.311600+9 4.479650+1 1.358700+9 4.482550+1 1.375000+9 4.483530+1 1.429300+9 4.485930+1 1.500000+9 4.488900+1 1.562500+9 4.490510+1 1.617200+9 4.491860+1 1.712900+9 4.494130+1 1.784700+9 4.495040+1 1.892300+9 4.496250+1 2.000000+9 4.497400+1 2.139200+9 4.498000+1 2.272600+9 4.498540+1 2.443000+9 4.499190+1 2.602800+9 4.499760+1 2.825100+9 4.500240+1 3.097000+9 4.500200+1 3.334900+9 4.500170+1 3.543000+9 4.500150+1 3.907300+9 4.500100+1 4.385300+9 4.500060+1 5.000000+9 4.500000+1 5.750000+9 4.500000+1 7.437500+9 4.500000+1 8.000000+9 4.500000+1 1.00000+10 4.500000+1 1.20500+10 4.500000+1 1.41820+10 4.500000+1 1.71170+10 4.500000+1 2.01490+10 4.500000+1 2.50620+10 4.500000+1 2.97450+10 4.500000+1 3.62610+10 4.500000+1 4.42280+10 4.500000+1 5.44530+10 4.500000+1 7.07200+10 4.500000+1 9.02400+10 4.500000+1 1.00000+11 4.500000+1 1.34280+11 4.500000+1 1.77440+11 4.500000+1 2.63330+11 4.500000+1 3.75720+11 4.500000+1 6.61190+11 4.500000+1 1.48990+12 4.500000+1 4.26460+12 4.500000+1 1.00000+14 4.500000+1 5.62340+14 4.500000+1 7.49890+15 4.500000+1 1.00000+17 4.500000+1 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.001151-6 0.0 3.146786-6 0.0 3.158404-6 9.342609-8 3.162277-6 1.241731-7 3.170022-6 2.268123-7 3.174191-6 3.104880-7 3.189817-6 1.882780+0 3.197630-6 3.439052+0 3.205443-6 5.798713+0 3.213256-6 9.025649+0 3.237671-6 2.140129+1 3.244995-6 2.386581+1 3.253037-6 2.474860+1 3.261009-6 2.361938+1 3.266700-6 2.197072+1 3.274772-6 2.014367+1 3.281581-6 1.831089+1 3.289366-6 1.738564+1 3.297403-6 1.866015+1 3.305489-6 2.258587+1 3.317028-6 3.188408+1 3.327977-6 4.134766+1 3.338346-6 4.834151+1 3.345743-6 5.007679+1 3.354144-6 4.782036+1 3.362887-6 4.156985+1 3.375538-6 2.881110+1 3.385552-6 1.867539+1 3.393588-6 1.205618+1 3.401625-6 7.184620+0 3.409661-6 3.952318+0 3.421716-6 1.004695+0 3.425734-6 0.0 3.587528-6 0.0 3.596358-6 5.691810-8 3.605188-6 1.126252-7 3.614018-6 2.057192-7 3.622849-6 3.468708-7 3.631679-6 5.399016-7 3.640509-6 7.757384-7 3.649339-6 1.028892-6 3.658170-6 1.259733-6 3.667000-6 1.423773-6 3.675830-6 1.485447-6 3.684660-6 1.430630-6 3.693490-6 1.271896-6 3.702321-6 1.043830-6 3.719981-6 5.530290-7 3.728811-6 3.570163-7 3.737642-6 2.127562-7 3.746472-6 1.170389-7 3.755302-6 5.943365-8 3.764132-6 0.0 4.275982-6 0.0 4.286507-6 2.22039-15 4.297032-6 4.39354-15 4.307556-6 8.02516-15 4.318081-6 1.35315-14 4.328606-6 2.10617-14 4.339131-6 3.02618-14 4.349656-6 4.01374-14 4.360180-6 4.91425-14 4.370705-6 5.55418-14 4.381230-6 5.79477-14 4.391755-6 5.58093-14 4.402280-6 4.96170-14 4.412804-6 4.07201-14 4.433854-6 2.15738-14 4.444379-6 1.39273-14 4.454904-6 8.29967-15 4.465428-6 4.56572-15 4.475953-6 2.31852-15 4.486478-6 0.0 4.973494-6 0.0 4.975709-6 3.329550-7 4.976695-6 7.011996-7 4.999111-6 6.550209-2 5.001194-6 7.153095-2 5.003427-6 8.228770-2 5.014209-6 2.189964-1 5.025693-6 3.898373-1 5.028827-6 4.489646-1 5.040758-6 7.268791-1 5.053458-6 1.132355+0 5.072986-6 1.918927+0 5.090765-6 2.661764+0 5.103888-6 3.066260+0 5.114265-6 3.253969+0 5.127711-6 3.222798+0 5.141108-6 2.928299+0 5.152750-6 2.514863+0 5.175841-6 1.518741+0 5.188157-6 1.039181+0 5.200472-6 6.584622-1 5.212787-6 3.813738-1 5.221685-6 2.389655-1 5.225102-6 1.947041-1 5.243575-6 4.949457-2 5.249733-6 0.0 5.602502-6 0.0 5.613842-6 6.877033-3 5.630366-6 4.535944-2 5.641478-6 7.523714-2 5.653419-6 1.258037-1 5.655296-6 1.339608-1 5.669113-6 2.204602-1 5.688672-6 3.916752-1 5.714893-6 6.515489-1 5.729207-6 7.642265-1 5.741956-6 8.225953-1 5.755746-6 8.256264-1 5.769205-6 7.690882-1 5.784944-6 6.428142-1 5.810807-6 3.855200-1 5.823433-6 2.708316-1 5.834927-6 1.845485-1 5.848744-6 1.087248-1 5.862562-6 5.917004-2 5.878595-6 2.100190-2 5.890198-6 0.0 5.892943-6 0.0 5.898779-6 1.319004-3 5.921952-6 2.202391-2 5.927817-6 2.807627-2 5.936457-6 4.081644-2 5.942336-6 5.061882-2 5.950962-6 6.990371-2 5.956855-6 8.431149-2 5.971375-6 1.297315-1 6.008981-6 2.734566-1 6.029451-6 3.289854-1 6.045785-6 3.387900-1 6.060304-6 3.234668-1 6.074823-6 2.900420-1 6.102046-6 2.043472-1 6.116565-6 1.681148-1 6.131085-6 1.473278-1 6.145604-6 1.426760-1 6.203680-6 1.948114-1 6.222669-6 1.999458-1 6.283910-6 1.778510-1 6.411792-6 1.653010-1 6.443356-6 1.512090+0 6.459137-6 2.626911+0 6.477096-6 4.643134+0 6.494343-6 7.290586+0 6.539418-6 1.541073+1 6.557893-6 1.741063+1 6.573456-6 1.780081+1 6.590259-6 1.671068+1 6.606818-6 1.441122+1 6.650723-6 6.450654+0 6.664993-6 4.348132+0 6.680739-6 2.642860+0 6.695864-6 1.540142+0 6.726714-6 1.649391-1 6.727428-6 1.325277-1 6.761709-6 1.300568-1 6.795190-6 9.345797-1 6.812410-6 1.632674+0 6.828802-6 2.629595+0 6.845689-6 4.036348+0 6.896618-6 9.405899+0 6.913894-6 1.067238+1 6.929424-6 1.121819+1 6.946311-6 1.103334+1 6.963054-6 1.015590+1 6.995678-6 7.367579+0 7.011355-6 5.903836+0 7.027999-6 4.529454+0 7.044642-6 3.382664+0 7.061285-6 2.466879+0 7.094571-6 1.017729+0 7.105533-6 8.178013-1 7.122400-6 5.642244-1 7.139266-6 3.773290-1 7.156133-6 2.530110-1 7.189866-6 1.002000-1 7.623740-6 7.716227-2 8.076415-6 5.885478-2 8.150213-6 5.633289-2 8.190961-6 3.275561-1 8.210395-6 5.397273-1 8.232234-6 9.123504-1 8.252491-6 1.382884+0 8.311629-6 3.041216+0 8.332601-6 3.423035+0 8.351447-6 3.550620+0 8.372135-6 3.401349+0 8.392970-6 2.993102+0 8.451124-6 1.351878+0 8.471184-6 8.888572-1 8.491245-6 5.479380-1 8.511306-6 3.215481-1 8.546412-6 7.959940-2 8.551427-6 4.434843-2 8.564223-6 4.400876-2 8.590955-6 1.405554-1 8.606382-6 2.061536-1 8.627462-6 3.461356-1 8.649859-6 5.764206-1 8.671313-6 8.815762-1 8.734178-6 2.011603+0 8.755258-6 2.294096+0 8.776337-6 2.455399+0 8.797816-6 2.452005+0 8.834076-6 2.161541+0 8.868444-6 1.822491+0 8.890007-6 1.693297+0 8.913424-6 1.645142+0 8.954697-6 1.656529+0 8.980375-6 1.568963+0 9.003214-6 1.423891+0 9.025442-6 1.222170+0 9.067829-6 7.730427-1 9.084076-6 6.203423-1 9.105639-6 4.752403-1 9.118775-6 4.277373-1 9.127202-6 4.048522-1 9.148765-6 4.055898-1 9.163226-6 4.418235-1 9.192166-6 5.476806-1 9.229904-6 8.325806-1 9.269383-6 1.077043+0 9.382624-6 1.679721+0 9.419992-6 1.761749+0 9.450050-6 1.691743+0 9.533730-6 1.202857+0 9.560708-6 1.108252+0 9.584928-6 1.080958+0 9.624531-6 1.132409+0 9.691828-6 1.314263+0 9.723894-6 1.345759+0 9.833297-6 1.277953+0 1.001726-5 1.383590+0 1.135312-5 1.759157+0 1.277690-5 2.287879+0 1.500000-5 3.290095+0 1.698086-5 4.370133+0 1.985791-5 6.237173+0 2.426610-5 9.700788+0 2.994321-5 1.424230+1 3.330000-5 1.602724+1 3.632132-5 1.657698+1 3.989799-5 1.596292+1 4.347463-5 1.438433+1 4.379565-5 1.496088+1 4.392204-5 1.565116+1 4.414498-5 2.117382+1 4.425307-5 2.527869+1 4.436116-5 3.085257+1 4.451675-5 4.129038+1 4.474582-5 5.739877+1 4.488980-5 6.408545+1 4.500714-5 6.484801+1 4.512649-5 6.119650+1 4.524675-5 5.384021+1 4.553666-5 3.160118+1 4.565826-5 2.433117+1 4.575284-5 2.012059+1 4.587445-5 1.666320+1 4.608097-5 1.292771+1 4.706575-5 1.236082+1 4.740964-5 1.309277+1 4.749998-5 1.368763+1 4.771779-5 1.724832+1 4.785567-5 2.070804+1 4.799476-5 2.538251+1 4.830217-5 3.737692+1 4.845041-5 4.154720+1 4.855484-5 4.301544+1 4.867680-5 4.251402+1 4.879962-5 3.968297+1 4.900170-5 3.173576+1 4.923718-5 2.169191+1 4.936867-5 1.735654+1 4.948554-5 1.466784+1 4.960242-5 1.290853+1 4.982156-5 1.073875+1 5.107154-5 1.003061+1 5.144866-5 1.026455+1 5.171716-5 1.098409+1 5.222261-5 1.331488+1 5.247534-5 1.367295+1 5.267895-5 1.313967+1 5.320990-5 1.098569+1 5.360465-5 1.034725+1 5.570391-5 9.472271+0 5.676924-5 9.733146+0 6.382635-5 6.626012+0 6.807975-5 5.099647+0 7.208117-5 3.961401+0 7.543032-5 3.207880+0 7.955396-5 2.495222+0 8.332613-5 2.014804+0 8.413951-5 2.021886+0 8.508484-5 2.174063+0 8.548882-5 2.154246+0 8.661701-5 1.878887+0 9.170018-5 1.590619+0 9.645506-5 1.419537+0 1.020000-4 1.324064+0 1.085000-4 1.310107+0 1.180000-4 1.402474+0 1.364583-4 1.744579+0 1.650000-4 2.291350+0 1.950217-4 2.700539+0 2.344229-4 2.993878+0 2.771364-4 3.113366+0 3.090492-4 3.136891+0 3.122009-4 3.294538+0 3.197111-4 3.851385+0 3.272000-4 4.121714+0 3.308000-4 4.492389+0 3.340000-4 5.109981+0 3.368277-4 5.956250+0 3.395000-4 7.050222+0 3.431770-4 8.991862+0 3.561032-4 1.700683+1 3.640391-4 2.073578+1 3.744187-4 2.383441+1 3.875541-4 2.558096+1 4.165916-4 2.596173+1 4.731998-4 2.482294+1 4.782270-4 2.554774+1 4.839737-4 2.771563+1 4.877976-4 2.728529+1 4.931546-4 2.587850+1 5.026149-4 2.651062+1 5.101481-4 2.757921+1 5.226500-4 2.671441+1 5.559043-4 2.626787+1 6.058651-4 2.472067+1 6.182720-4 2.514046+1 8.179609-4 1.906710+1 9.731900-4 1.557286+1 1.136645-3 1.283411+1 1.295686-3 1.081305+1 1.498862-3 8.881603+0 1.737117-3 7.225851+0 2.007856-3 5.870458+0 2.299823-3 4.810779+0 2.654500-3 3.879674+0 2.922813-3 3.351776+0 2.937725-3 3.487812+0 2.949598-3 3.767614+0 2.960076-3 4.255596+0 2.971067-3 5.089809+0 2.986034-3 6.650926+0 3.002990-3 8.542226+0 3.018802-3 9.791216+0 3.035261-3 1.045472+1 3.067641-3 1.064634+1 3.105986-3 1.100554+1 3.134593-3 1.218053+1 3.165149-3 1.346303+1 3.198066-3 1.379639+1 3.344476-3 1.307841+1 3.420403-3 1.413927+1 3.562914-3 1.352356+1 4.148432-3 1.072094+1 4.763110-3 8.632929+0 5.432503-3 7.003978+0 6.241046-3 5.585987+0 7.109374-3 4.497720+0 8.125767-3 3.588360+0 9.225622-3 2.887902+0 1.035529-2 2.363943+0 1.160927-2 1.935286+0 1.302581-2 1.579477+0 1.455602-2 1.296389+0 1.626823-2 1.061926+0 1.812778-2 8.733961-1 2.040099-2 7.046279-1 2.260222-2 5.871821-1 2.272179-2 6.028097-1 2.279919-2 6.436020-1 2.285831-2 7.094357-1 2.291403-2 8.131630-1 2.296142-2 9.421257-1 2.301783-2 1.150336+0 2.309257-2 1.514147+0 2.329545-2 2.686493+0 2.338468-2 3.073874+0 2.349413-2 3.351323+0 2.365061-2 3.474874+0 2.776922-2 2.705662+0 3.179372-2 2.164188+0 3.607993-2 1.745344+0 4.068587-2 1.417553+0 4.598097-2 1.142774+0 5.151857-2 9.326822-1 5.816546-2 7.486211-1 6.549714-2 6.016604-1 7.429875-2 4.757998-1 8.139405-2 4.010665-1 9.179155-2 3.194725-1 1.031796-1 2.556281-1 1.138956-1 2.117381-1 1.282513-1 1.686079-1 1.409254-1 1.407157-1 1.550702-1 1.171345-1 1.725342-1 9.546191-2 1.922427-1 7.763067-2 2.126624-1 6.412598-2 2.341293-1 5.349846-2 2.595818-1 4.420275-2 2.854689-1 3.714849-2 3.166793-1 3.084104-2 3.516878-1 2.568186-2 3.889096-1 2.162691-2 4.327629-1 1.813345-2 4.849103-1 1.512378-2 5.432503-1 1.273044-2 6.053845-1 1.089090-2 6.820032-1 9.260156-3 7.717915-1 7.918493-3 9.015712-1 6.605248-3 1.070165+0 5.494247-3 1.228714+0 4.734164-3 1.477239+0 3.881714-3 1.776032+0 3.182759-3 2.135261+0 2.609660-3 2.567148+0 2.139755-3 3.086391+0 1.754463-3 3.710658+0 1.438549-3 4.461192+0 1.179518-3 5.363532+0 9.671302-4 6.448384+0 7.929853-4 7.752663+0 6.501976-4 9.320751+0 5.331207-4 9.760024+0 5.073067-4 1.000000+1 1.028521-3 1 45000 7 0 1.029050+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-4.489972+1 2.544370-6-4.353920+1 2.932281-6-4.127296+1 3.076445-6-3.832125+1 3.139176-6-3.503112+1 3.168086-6-3.174866+1 3.205443-6-2.314322+1 3.217032-6-2.137173+1 3.224240-6-2.157250+1 3.232754-6-2.302891+1 3.242798-6-2.697336+1 3.253924-6-3.285633+1 3.263038-6-3.654759+1 3.276940-6-3.785446+1 3.288221-6-3.532806+1 3.300398-6-3.022520+1 3.308123-6-2.786358+1 3.317028-6-2.792739+1 3.322636-6-2.995803+1 3.330449-6-3.504233+1 3.337202-6-4.170113+1 3.339763-6-4.492823+1 3.344590-6-3.964546+1 3.355855-6-2.513695+1 3.362887-6-1.794226+1 3.367625-6-1.441959+1 3.370484-6-1.265650+1 3.373560-6-1.127658+1 3.375538-6-1.063931+1 3.379525-6-9.944545+0 3.383292-6-9.750127+0 3.385552-6-1.001280+1 3.391579-6-1.117105+1 3.400746-6-1.440399+1 3.412424-6-1.926799+1 3.425232-6-2.377686+1 3.431353-6-2.620681+1 3.445470-6-2.932614+1 3.470110-6-3.253172+1 3.517773-6-3.586677+1 3.614018-6-3.894286+1 3.840173-6-4.156419+1 4.728797-6-4.417629+1 5.015645-6-4.509597+1 5.087270-6-4.493325+1 5.103888-6-4.524398+1 5.167140-6-4.255049+1 5.413712-6-4.445592+1 5.743522-6-4.526975+1 5.890884-6-4.539194+1 6.222669-6-4.433998+1 6.376337-6-4.199966+1 6.443356-6-3.831328+1 6.482544-6-3.580035+1 6.506445-6-3.572352+1 6.532642-6-3.803300+1 6.568462-6-4.557807+1 6.572271-6-4.516654+1 6.605127-6-3.818122+1 6.629936-6-3.573756+1 6.650723-6-3.554996+1 6.724571-6-4.078649+1 6.795190-6-4.573624+1 6.860238-6-4.322102+1 6.896618-6-4.485264+1 6.910027-6-4.554486+1 6.973448-6-3.809890+1 7.011355-6-3.644885+1 7.086249-6-3.779350+1 7.197145-6-4.071835+1 7.532389-6-4.297716+1 8.163246-6-4.548194+1 8.293938-6-4.621705+1 8.423405-6-4.273412+1 8.715464-6-4.568039+1 8.884617-6-4.395923+1 9.105639-6-4.402779+1 9.308309-6-4.513406+1 9.581040-6-4.460436+1 1.985791-5-4.725705+1 2.691535-5-4.618166+1 3.488577-5-4.049267+1 4.049902-5-3.226933+1 4.201158-5-2.876303+1 4.285355-5-2.545196+1 4.332104-5-2.226818+1 4.363514-5-1.854510+1 4.379565-5-1.573738+1 4.388928-5-1.347420+1 4.395687-5-1.116233+1 4.411795-5-7.240345+0 4.414498-5-6.402569+0 4.423956-5-4.077233+0 4.425307-5-3.692293+0 4.427671-5-3.198082+0 4.436116-5-1.709689+0 4.438481-5-1.460288+0 4.442027-5-1.289471+0 4.445574-5-1.205548+0 4.446925-5-1.190270+0 4.449459-5-1.368501+0 4.451675-5-1.657205+0 4.453615-5-1.997831+0 4.455312-5-2.360349+0 4.458282-5-3.138795+0 4.460510-5-3.846564+0 4.462180-5-4.451798+0 4.465939-5-6.089039+0 4.473441-5-1.040520+1 4.477574-5-1.337674+1 4.487742-5-2.203623+1 4.492256-5-2.667713+1 4.497851-5-3.195443+1 4.500714-5-2.868755+1 4.513722-5-1.631743+1 4.522743-5-9.393087+0 4.526487-5-7.168449+0 4.529778-5-5.589855+0 4.532764-5-4.391958+0 4.535377-5-3.506324+0 4.537663-5-2.848340+0 4.539663-5-2.359766+0 4.541414-5-1.998201+0 4.544477-5-1.515194+0 4.546774-5-1.283092+0 4.548497-5-1.188081+0 4.551082-5-1.192694+0 4.552374-5-1.280094+0 4.559071-5-2.281677+0 4.561773-5-2.754323+0 4.563124-5-3.059269+0 4.565826-5-3.922926+0 4.574102-5-6.101922+0 4.575284-5-6.536681+0 4.589809-5-1.098406+1 4.606361-5-1.530210+1 4.611882-5-1.718245+1 4.625728-5-2.000728+1 4.655212-5-2.391404+1 4.720712-5-3.101664+1 4.745614-5-2.711868+1 4.764131-5-2.362208+1 4.787964-5-2.014851+1 4.799476-5-1.936206+1 4.810466-5-1.990166+1 4.822619-5-2.183425+1 4.830217-5-2.398187+1 4.841775-5-2.853509+1 4.846110-5-3.064065+1 4.864744-5-2.071955+1 4.870002-5-1.775327+1 4.879962-5-1.274728+1 4.887749-5-9.843704+0 4.893000-5-8.104907+0 4.898091-5-6.836636+0 4.903807-5-5.823483+0 4.906535-5-5.470085+0 4.912674-5-4.985094+0 4.919219-5-4.977341+0 4.923718-5-5.239312+0 4.932484-5-6.107677+0 4.947093-5-8.572525+0 4.965355-5-1.169218+1 4.982156-5-1.422461+1 4.993013-5-1.581268+1 5.016572-5-1.785253+1 5.069878-5-2.060025+1 5.179628-5-2.484315+1 5.209625-5-2.485661+1 5.279863-5-2.192086+1 5.320990-5-2.202374+1 5.416489-5-2.333762+1 5.636882-5-2.452066+1 5.931564-5-2.407480+1 7.074334-5-2.516429+1 8.548882-5-2.759525+1 1.160000-4-3.050394+1 1.742798-4-3.236950+1 2.511886-4-3.454209+1 2.945804-4-3.766738+1 3.215000-4-4.223208+1 3.355703-4-4.683652+1 3.467955-4-5.032347+1 3.561032-4-4.976814+1 3.954871-4-3.774663+1 4.221173-4-3.281695+1 4.549982-4-2.896950+1 4.829212-4-2.730574+1 4.965561-4-2.757066+1 5.119610-4-2.551793+1 5.285000-4-2.394772+1 5.559043-4-2.097297+1 5.923948-4-1.850014+1 6.182720-4-1.765845+1 6.413479-4-1.579309+1 6.911242-4-1.341506+1 7.454470-4-1.156238+1 8.179609-4-9.805677+0 8.963962-4-8.492512+0 9.731900-4-7.593339+0 1.096478-3-6.688410+0 1.243172-3-6.105163+0 1.426082-3-5.825309+0 1.657536-3-5.852847+0 1.913705-3-6.193212+0 2.205184-3-6.895559+0 2.470359-3-7.925089+0 2.654500-3-9.067011+0 2.775804-3-1.024288+1 2.872982-3-1.179378+1 2.922813-3-1.317423+1 2.956827-3-1.491753+1 2.991749-3-1.739814+1 3.011050-3-1.768474+1 3.035261-3-1.648106+1 3.067641-3-1.471854+1 3.096559-3-1.416235+1 3.150330-3-1.427532+1 3.173216-3-1.349497+1 3.223229-3-1.128727+1 3.272319-3-1.011382+1 3.328252-3-9.464197+0 3.390130-3-9.283613+0 3.434886-3-8.237541+0 3.482368-3-7.185656+0 3.562914-3-6.044950+0 3.676322-3-4.908627+0 3.801894-3-3.988292+0 3.947199-3-3.183372+0 4.112089-3-2.491906+0 4.237184-3-2.074798+0 4.394278-3-1.657530+0 4.574995-3-1.274684+0 4.763110-3-9.660448-1 4.899270-3-7.790126-1 5.040806-3-6.187522-1 5.238171-3-4.373420-1 5.308844-3-3.798064-1 5.432503-3-2.922860-1 5.571612-3-2.110878-1 5.641877-3-1.746529-1 5.776031-3-1.144768-1 5.843294-3-8.764837-2 5.996426-3-3.369625-2 6.029391-3-2.290740-2 6.082311-3-7.001700-3 6.103128-3-1.638151-3 6.209500-3 2.517633-2 6.241046-3 3.248399-2 6.420637-3 6.364842-2 6.550743-3 8.151232-2 6.662442-3 9.367440-2 6.926255-3 1.095229-1 7.182076-3 1.167784-1 7.477389-3 1.135084-1 7.946396-3 9.090396-2 8.222426-3 6.975315-2 8.521625-3 4.137284-2 8.709636-3 2.063701-2 8.839344-3 6.729852-3 9.002746-3-1.044088-2 9.087355-3-1.966641-2 9.362811-3-5.121368-2 9.618457-3-8.177628-2 1.566221-2-8.535562-1 1.748541-2-1.111968+0 1.919221-2-1.412713+0 2.040099-2-1.707446+0 2.120582-2-1.987679+0 2.175179-2-2.258790+0 2.219107-2-2.577814+0 2.252239-2-2.956188+0 2.272179-2-3.337177+0 2.293059-2-3.993054+0 2.309257-2-4.497670+0 2.320315-2-4.585773+0 2.332265-2-4.361981+0 2.365061-2-3.197100+0 2.382000-2-2.798248+0 2.403627-2-2.452920+0 2.439394-2-2.064649+0 2.483917-2-1.721379+0 2.549316-2-1.361803+0 2.613132-2-1.109502+0 2.681671-2-9.046113-1 2.746313-2-7.500946-1 2.825281-2-5.967702-1 2.910498-2-4.630649-1 2.991432-2-3.574003-1 3.032431-2-3.116732-1 3.100667-2-2.455521-1 3.179372-2-1.807007-1 3.265917-2-1.204885-1 3.346041-2-7.379914-2 3.427678-2-3.246942-2 3.502475-2-3.793978-4 3.522695-2 8.369694-3 3.607993-2 3.791143-2 3.684321-2 5.975270-2 3.782931-2 8.415706-2 3.868816-2 1.011230-1 3.962993-2 1.169874-1 4.068587-2 1.317527-1 4.267921-2 1.518765-1 4.485431-2 1.650707-1 4.850815-2 1.719046-1 5.279349-2 1.668052-1 5.934381-2 1.458310-1 7.928517-2 6.180867-2 8.633033-2 3.524286-2 9.265284-2 1.380480-2 9.518106-2 5.799227-3 9.704785-2 2.163788-5 9.750240-2-1.364894-3 9.900319-2-5.893277-3 1.042075-1-2.051482-2 1.113415-1-3.860623-2 1.203782-1-5.857783-2 1.315193-1-7.965488-2 1.457057-1-1.017172-1 1.654817-1-1.257169-1 1.980244-1-1.539523-1 2.417895-1-1.783378-1 3.058854-1-1.992803-1 4.170194-1-2.174013-1 6.512534-1-2.313898-1 1.410753+0-2.393961-1 4.260405+0-2.414180-1 1.000000+1-2.415326-1 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.595998-6 1.024000-6 4.785418-6 1.048891-6 4.721219-6 1.088011-6 4.486794-6 1.124685-6 4.572310-6 1.159068-6 4.953245-6 1.223535-6 6.538844-6 1.279944-6 9.190650-6 1.329302-6 1.292235-5 1.372490-6 1.767453-5 1.410280-6 2.343528-5 1.476412-6 3.790473-5 1.526010-6 5.294632-5 1.536000-6 5.542368-5 1.600409-6 6.072411-5 1.674807-6 7.073026-5 1.691296-6 7.386208-5 1.711908-6 7.858265-5 1.732519-6 8.410110-5 1.753131-6 9.058421-5 1.807523-6 1.121692-4 1.851508-6 1.356607-4 1.928484-6 1.927972-4 1.986215-6 2.529233-4 2.029513-6 3.115481-4 2.185984-6 6.493411-4 2.249766-6 8.711173-4 2.265711-6 9.375064-4 2.304000-6 1.100767-3 2.332419-6 1.206944-3 2.397042-6 1.469776-3 2.459646-6 1.798307-3 2.520293-6 2.205608-3 2.579045-6 2.704261-3 2.635961-6 3.308006-3 2.691099-6 4.031695-3 2.744513-6 4.891247-3 2.796259-6 5.903550-3 2.846387-6 7.078876-3 2.880000-6 7.949959-3 2.894948-6 8.344823-3 2.941993-6 9.660548-3 2.987567-6 1.114808-2 3.031716-6 1.284891-2 3.074486-6 1.478415-2 3.115920-6 1.697555-2 3.156059-6 1.944584-2 3.194943-6 2.221868-2 3.232613-6 2.531864-2 3.269105-6 2.877167-2 3.304456-6 3.261553-2 3.338703-6 3.691769-2 3.405057-6 4.698931-2 3.467263-6 5.903321-2 3.525582-6 7.336367-2 3.600000-6 9.703085-2 3.631512-6 1.091929-1 3.679565-6 1.309586-1 3.724615-6 1.559127-1 3.766849-6 1.844184-1 3.806444-6 2.167745-1 3.843563-6 2.532751-1 3.878363-6 2.942123-1 3.910988-6 3.398742-1 3.941574-6 3.905446-1 3.970248-6 4.465073-1 3.997130-6 5.080149-1 4.022332-6 5.751913-1 4.050000-6 6.616307-1 4.068109-6 7.268148-1 4.088875-6 8.116959-1 4.108343-6 9.029847-1 4.126594-6 1.000871+0 4.143704-6 1.105484+0 4.159745-6 1.216921+0 4.174784-6 1.335248+0 4.188882-6 1.460479+0 4.202100-6 1.592559+0 4.214491-6 1.731359+0 4.226108-6 1.876688+0 4.247889-6 2.197131+0 4.266948-6 2.542348+0 4.283625-6 2.909801+0 4.298217-6 3.296478+0 4.310985-6 3.698914+0 4.322157-6 4.113344+0 4.331932-6 4.535897+0 4.340486-6 4.962719+0 4.347970-6 5.390014+0 4.361068-6 6.294751+0 4.370891-6 7.149206+0 4.378258-6 7.924213+0 4.389310-6 9.377772+0 4.394835-6 1.027333+1 4.400361-6 1.131039+1 4.405776-6 1.248930+1 4.411192-6 1.385741+1 4.416607-6 1.544637+1 4.422023-6 1.729115+1 4.427438-6 1.942973+1 4.432853-6 2.190253+1 4.443684-6 2.801957+1 4.464150-6 4.483782+1 4.470625-6 5.181270+1 4.477389-6 5.999373+1 4.482886-6 6.730495+1 4.488382-6 7.517891+1 4.499376-6 9.238961+1 4.500750-6 9.465364+1 4.510369-6 1.109488+2 4.514148-6 1.174631+2 4.521363-6 1.298225+2 4.526951-6 1.391195+2 4.531836-6 1.468826+2 4.535917-6 1.530048+2 4.541163-6 1.602613+2 4.544458-6 1.644005+2 4.548783-6 1.692703+2 4.554343-6 1.744796+2 4.560183-6 1.785367+2 4.565680-6 1.809215+2 4.567594-6 1.814115+2 4.573054-6 1.818219+2 4.578189-6 1.808663+2 4.581205-6 1.797051+2 4.586463-6 1.766503+2 4.591262-6 1.727710+2 4.596994-6 1.668811+2 4.601089-6 1.619171+2 4.606334-6 1.547579+2 4.610991-6 1.477606+2 4.613985-6 1.429992+2 4.618769-6 1.350521+2 4.624250-6 1.255750+2 4.629976-6 1.154416+2 4.636794-6 1.033319+2 4.642291-6 9.372572+1 4.648475-6 8.326556+1 4.653284-6 7.548054+1 4.664278-6 5.915241+1 4.668057-6 5.407182+1 4.671664-6 4.949269+1 4.675271-6 4.518198+1 4.678020-6 4.207851+1 4.684203-6 3.566302+1 4.690502-6 2.991498+1 4.695036-6 2.624602+1 4.700925-6 2.203051+1 4.706631-6 1.849532+1 4.712160-6 1.553954+1 4.717560-6 1.305519+1 4.722792-6 1.098759+1 4.727859-6 9.267485+0 4.732769-6 7.836091+0 4.737525-6 6.643959+0 4.742132-6 5.649816+0 4.750920-6 4.124475+0 4.755109-6 3.541699+0 4.763225-6 2.627196+0 4.777966-6 1.519903+0 4.784654-6 1.192797+0 4.797192-6 7.968325-1 4.808164-6 6.435450-1 4.812964-6 6.289191-1 4.817463-6 6.448432-1 4.823660-6 7.167336-1 4.828312-6 8.123485-1 4.828755-6 8.234547-1 4.833037-6 9.503298-1 4.836232-6 1.069463+0 4.839278-6 1.204355+0 4.842133-6 1.351281+0 4.849672-6 1.846563+0 4.857823-6 2.588264+0 4.864184-6 3.345865+0 4.869054-6 4.048809+0 4.872783-6 4.667072+0 4.878111-6 5.682579+0 4.883518-6 6.885361+0 4.887432-6 7.873059+0 4.889820-6 8.526708+0 4.893403-6 9.582252+0 4.896987-6 1.073074+1 4.902998-6 1.287358+1 4.908259-6 1.497581+1 4.912580-6 1.686258+1 4.916807-6 1.884649+1 4.921785-6 2.135335+1 4.933058-6 2.765135+1 4.937684-6 3.044959+1 4.945081-6 3.511385+1 4.950190-6 3.842592+1 4.953439-6 4.055005+1 4.957702-6 4.333842+1 4.963184-6 4.688572+1 4.967395-6 4.954940+1 4.972124-6 5.244072+1 4.977344-6 5.546624+1 4.981904-6 5.793058+1 4.988949-6 6.133618+1 4.994451-6 6.360044+1 5.001599-6 6.595474+1 5.005640-6 6.696890+1 5.017599-6 6.855422+1 5.019692-6 6.861114+1 5.029849-6 6.797755+1 5.035109-6 6.708492+1 5.041903-6 6.541477+1 5.045195-6 6.441428+1 5.050591-6 6.253456+1 5.057035-6 5.995126+1 5.063765-6 5.693489+1 5.071330-6 5.326120+1 5.077342-6 5.020216+1 5.087863-6 4.472331+1 5.098384-6 3.929540+1 5.101390-6 3.778266+1 5.113413-6 3.200324+1 5.122431-6 2.802476+1 5.128309-6 2.562042+1 5.136838-6 2.241102+1 5.145978-6 1.934339+1 5.164257-6 1.431449+1 5.182536-6 1.058874+1 5.198013-6 8.258258+0 5.204567-6 7.456189+0 5.211070-6 6.752508+0 5.217523-6 6.134789+0 5.223925-6 5.591922+0 5.236629-6 4.689418+0 5.249134-6 3.984338+0 5.261444-6 3.426826+0 5.273562-6 2.979768+0 5.285490-6 2.615848+0 5.297232-6 2.315098+0 5.308791-6 2.062956+0 5.320169-6 1.848778+0 5.331369-6 1.664726+0 5.353419-6 1.362987+0 5.395474-6 9.428120-1 5.434941-6 6.686808-1 5.453755-6 5.661861-1 5.471981-6 4.803810-1 5.507293-6 3.446829-1 5.540398-6 2.465005-1 5.571434-6 1.746575-1 5.600531-6 1.220865-1 5.627809-6 8.401302-2 5.678955-6 3.743952-2 5.768461-6 1.632784-2 5.802025-6 2.710315-2 5.831394-6 4.656137-2 5.857092-6 7.228344-2 5.879578-6 1.024065-1 5.899253-6 1.354699-1 5.916468-6 1.701341-1 5.931532-6 2.050422-1 5.944713-6 2.388671-1 5.956246-6 2.704609-1 5.966337-6 2.989935-1 5.982894-6 3.454082-1 5.995569-6 3.781416-1 6.009237-6 4.078399-1 6.023324-6 4.299730-1 6.035057-6 4.412423-1 6.040110-6 4.443413-1 6.054977-6 4.502474-1 6.064173-6 4.550198-1 6.069844-6 4.603144-1 6.077394-6 4.724046-1 6.081967-6 4.836912-1 6.084711-6 4.922847-1 6.089822-6 5.126262-1 6.094090-6 5.346503-1 6.097520-6 5.561796-1 6.100593-6 5.786971-1 6.104680-6 6.138677-1 6.108535-6 6.530177-1 6.110735-6 6.781678-1 6.114584-6 7.274367-1 6.126133-6 9.197167-1 6.134622-6 1.108403+0 6.149646-6 1.549588+0 6.151406-6 1.610376+0 6.164669-6 2.125985+0 6.169510-6 2.337187+0 6.178753-6 2.767258+0 6.183226-6 2.984917+0 6.188012-6 3.222038+0 6.193387-6 3.490598+0 6.197876-6 3.714216+0 6.203647-6 3.996959+0 6.208376-6 4.221452+0 6.211996-6 4.387119+0 6.217171-6 4.611917+0 6.222888-6 4.840208+0 6.228613-6 5.043508+0 6.234530-6 5.222803+0 6.240315-6 5.364424+0 6.246254-6 5.472277+0 6.252256-6 5.540545+0 6.257876-6 5.566331+0 6.260630-6 5.565414+0 6.266828-6 5.531074+0 6.271978-6 5.469360+0 6.273470-6 5.446038+0 6.284660-6 5.198568+0 6.291167-6 5.001597+0 6.296856-6 4.802425+0 6.299571-6 4.699664+0 6.303643-6 4.537430+0 6.307716-6 4.366811+0 6.310375-6 4.251607+0 6.315028-6 4.044182+0 6.321135-6 3.763885+0 6.327024-6 3.489032+0 6.328987-6 3.397129+0 6.336498-6 3.047470+0 6.342132-6 2.790430+0 6.345888-6 2.623031+0 6.352461-6 2.340015+0 6.359033-6 2.072218+0 6.374057-6 1.528872+0 6.379221-6 1.366387+0 6.389080-6 1.092114+0 6.396592-6 9.145611-1 6.413901-6 6.031084-1 6.417266-6 5.572135-1 6.423786-6 4.806055-1 6.429898-6 4.225719-1 6.435628-6 3.792880-1 6.441000-6 3.476637-1 6.451072-6 3.091356-1 6.459886-6 2.945891-1 6.467598-6 2.941062-1 6.521580-6 4.705794-1 6.524712-6 4.850212-1 6.536757-6 5.411094-1 6.546421-6 5.865925-1 6.573175-6 7.248600-1 6.588951-6 8.336283-1 6.596750-6 9.021444-1 6.602253-6 9.583384-1 6.612198-6 1.079526+0 6.616523-6 1.141123+0 6.632687-6 1.425208+0 6.653902-6 1.932492+0 6.660647-6 2.122640+0 6.669319-6 2.382656+0 6.675147-6 2.564528+0 6.681383-6 2.762740+0 6.686157-6 2.915292+0 6.692979-6 3.131576+0 6.699284-6 3.326442+0 6.701752-6 3.400657+0 6.707978-6 3.581127+0 6.714706-6 3.762435+0 6.717500-6 3.832751+0 6.724875-6 4.002103+0 6.730926-6 4.121520+0 6.749549-6 4.362578+0 6.754934-6 4.394398+0 6.757855-6 4.404438+0 6.766616-6 4.404577+0 6.772454-6 4.380476+0 6.778417-6 4.336952+0 6.783827-6 4.281933+0 6.788561-6 4.222502+0 6.792703-6 4.162473+0 6.799952-6 4.041043+0 6.810825-6 3.825427+0 6.821698-6 3.578401+0 6.825785-6 3.479373+0 6.832937-6 3.300017+0 6.854394-6 2.736444+0 6.861180-6 2.556475+0 6.874135-6 2.218890+0 6.881770-6 2.026540+0 6.890879-6 1.806202+0 6.896345-6 1.679764+0 6.908208-6 1.422914+0 6.917106-6 1.248207+0 6.944770-6 8.197710-1 6.948887-6 7.720569-1 6.953003-6 7.286367-1 6.965737-6 6.214400-1 6.969468-6 5.976951-1 6.971527-6 5.860523-1 6.985934-6 5.324337-1 6.991954-6 5.236777-1 7.000028-6 5.234032-1 7.009038-6 5.370849-1 7.013951-6 5.500556-1 7.019831-6 5.700576-1 7.024811-6 5.903788-1 7.029565-6 6.122878-1 7.040212-6 6.685152-1 7.057625-6 7.738161-1 7.066910-6 8.326111-1 7.077804-6 9.009998-1 7.085754-6 9.494441-1 7.094357-6 9.998842-1 7.105145-6 1.059960+0 7.120443-6 1.140007+0 7.158467-6 1.340162+0 7.173854-6 1.437108+0 7.190371-6 1.559224+0 7.224899-6 1.871014+0 7.238484-6 2.003023+0 7.246601-6 2.079782+0 7.252597-6 2.134126+0 7.260307-6 2.199684+0 7.270759-6 2.278144+0 7.277088-6 2.318407+0 7.283913-6 2.354647+0 7.289973-6 2.379957+0 7.298644-6 2.404004+0 7.313120-6 2.410149+0 7.322300-6 2.391516+0 7.329408-6 2.365372+0 7.333421-6 2.346293+0 7.342449-6 2.292716+0 7.349216-6 2.243747+0 7.366371-6 2.092584+0 7.376094-6 1.994856+0 7.386914-6 1.881204+0 7.420662-6 1.544459+0 7.431518-6 1.456269+0 7.435283-6 1.429083+0 7.449948-6 1.341798+0 7.454218-6 1.322242+0 7.473332-6 1.267829+0 7.477864-6 1.262670+0 7.491459-6 1.263537+0 7.495149-6 1.267670+0 7.513750-6 1.309441+0 7.524876-6 1.347346+0 7.561329-6 1.498368+0 7.575106-6 1.552618+0 7.586916-6 1.593408+0 7.599889-6 1.630527+0 7.614727-6 1.662367+0 7.627901-6 1.681610+0 7.641022-6 1.693700+0 7.662105-6 1.703247+0 7.699452-6 1.714637+0 7.724197-6 1.733005+0 7.749615-6 1.764770+0 7.823187-6 1.886647+0 7.836224-6 1.905955+0 7.866659-6 1.945185+0 8.025400-6 2.114251+0 8.114208-6 2.214055+0 8.186194-6 2.279053+0 8.250019-6 2.330684+0 8.321800-6 2.400224+0 8.643423-6 2.794463+0 9.055492-6 3.332509+0 9.340686-6 3.737070+0 9.634863-6 4.176813+0 1.024888-5 5.162774+0 1.056915-5 5.716209+0 1.124005-5 6.973460+0 1.195353-5 8.451737+0 1.271230-5 1.020798+1 1.435099-5 1.468559+1 1.710827-5 2.455444+1 2.009292-5 3.958074+1 2.246591-5 5.533131+1 2.513915-5 7.807459+1 2.691535-5 9.661246+1 2.961798-5 1.292728+2 3.090295-5 1.468067+2 3.217732-5 1.650128+2 3.350316-5 1.847031+2 3.460033-5 2.012408+2 3.577974-5 2.189192+2 3.715352-5 2.390560+2 3.862693-5 2.592683+2 3.974369-5 2.732249+2 4.106420-5 2.877078+2 4.210681-5 2.978363+2 4.520127-5 3.301896+2 4.600064-5 3.399918+2 4.652525-5 3.482760+2 4.699581-5 3.589433+2 4.731829-5 3.710081+2 4.754029-5 3.847046+2 4.772675-5 4.021564+2 4.783920-5 4.161838+2 4.792688-5 4.291924+2 4.799825-5 4.411562+2 4.807265-5 4.549062+2 4.822711-5 4.870715+2 4.846336-5 5.413709+2 4.858148-5 5.677873+2 4.869961-5 5.916187+2 4.880320-5 6.092875+2 4.886941-5 6.186329+2 4.894324-5 6.270487+2 4.905106-5 6.352669+2 4.918101-5 6.384418+2 4.930934-5 6.342699+2 4.940835-5 6.262227+2 4.950262-5 6.148957+2 4.958645-5 6.021063+2 4.969627-5 5.820730+2 4.976272-5 5.685133+2 4.988084-5 5.426253+2 4.999896-5 5.157128+2 5.019645-5 4.721861+2 5.035333-5 4.416770+2 5.046677-5 4.227004+2 5.060888-5 4.027448+2 5.080467-5 3.815286+2 5.109088-5 3.603028+2 5.165579-5 3.408333+2 5.175989-5 3.406475+2 5.185182-5 3.415600+2 5.200894-5 3.455491+2 5.215119-5 3.517348+2 5.227123-5 3.586460+2 5.237801-5 3.658585+2 5.282849-5 4.015730+2 5.300984-5 4.158424+2 5.325460-5 4.336689+2 5.352943-5 4.517652+2 5.373475-5 4.634660+2 5.389404-5 4.704761+2 5.405125-5 4.746198+2 5.415125-5 4.754708+2 5.423793-5 4.749907+2 5.434925-5 4.727304+2 5.452657-5 4.657473+2 5.467336-5 4.576470+2 5.521676-5 4.243739+2 5.551664-5 4.107136+2 5.630016-5 3.902780+2 5.668205-5 3.850856+2 5.689129-5 3.837462+2 5.717135-5 3.838698+2 5.744408-5 3.858603+2 5.816482-5 3.939229+2 5.875506-5 3.976105+2 5.922865-5 3.988428+2 5.979016-5 3.993794+2 6.053228-5 3.983831+2 6.194356-5 3.931081+2 6.363236-5 3.851100+2 6.538633-5 3.753968+2 6.807634-5 3.588431+2 7.060892-5 3.426827+2 7.344082-5 3.246120+2 7.718609-5 3.014533+2 8.119968-5 2.779456+2 8.372473-5 2.638327+2 8.695981-5 2.455372+2 8.902066-5 2.354487+2 9.071456-5 2.271858+2 9.225714-5 2.216877+2 9.603909-5 2.102458+2 1.040932-4 1.882598+2 1.110000-4 1.735744+2 1.170000-4 1.634353+2 1.216186-4 1.570329+2 1.250000-4 1.529190+2 1.292370-4 1.484654+2 1.346327-4 1.436989+2 1.431269-4 1.376865+2 1.543376-4 1.320381+2 1.638400-4 1.285322+2 1.740000-4 1.255738+2 2.020000-4 1.190664+2 2.101622-4 1.170807+2 2.187000-4 1.147451+2 2.300159-4 1.111942+2 2.423651-4 1.066054+2 2.531707-4 1.018735+2 2.665238-4 9.491969+1 2.777533-4 8.801939+1 2.844714-4 8.337668+1 2.917427-4 7.783238+1 2.991609-4 7.162337+1 3.065323-4 6.485014+1 3.121016-4 5.937439+1 3.170103-4 5.423600+1 3.213353-4 4.945020+1 3.245791-4 4.570064+1 3.296653-4 3.954648+1 3.319048-4 3.677300+1 3.337201-4 3.453663+1 3.351970-4 3.274415+1 3.367163-4 3.093835+1 3.387997-4 2.854733+1 3.483000-4 1.967302+1 3.502658-4 1.830658+1 3.510968-4 1.779635+1 3.521250-4 1.723664+1 3.527768-4 1.693074+1 3.535702-4 1.661922+1 3.541171-4 1.644899+1 3.551494-4 1.624322+1 3.561625-4 1.621388+1 3.567500-4 1.628809+1 3.575000-4 1.649345+1 3.582500-4 1.683700+1 3.590000-4 1.733481+1 3.595000-4 1.776070+1 3.601494-4 1.843599+1 3.608000-4 1.926181+1 3.615492-4 2.041389+1 3.624000-4 2.200621+1 3.635500-4 2.468686+1 3.643535-4 2.695324+1 3.655154-4 3.085348+1 3.666995-4 3.564224+1 3.702497-4 5.540111+1 3.714997-4 6.437511+1 3.727497-4 7.439715+1 3.737494-4 8.314112+1 3.748274-4 9.326011+1 3.759611-4 1.046200+2 3.768747-4 1.142651+2 3.777779-4 1.241834+2 3.795947-4 1.451049+2 3.807054-4 1.583961+2 3.815000-4 1.680740+2 3.830531-4 1.872629+2 3.835500-4 1.934471+2 3.849500-4 2.109011+2 3.855000-4 2.177461+2 3.870000-4 2.362936+2 3.877500-4 2.454676+2 3.892500-4 2.635390+2 3.902263-4 2.750651+2 3.915000-4 2.897784+2 3.937500-4 3.147794+2 3.960000-4 3.384167+2 3.981072-4 3.592839+2 4.000000-4 3.769991+2 4.023000-4 3.972616+2 4.050655-4 4.198556+2 4.080000-4 4.418055+2 4.120975-4 4.692345+2 4.156407-4 4.902002+2 4.190983-4 5.083745+2 4.232724-4 5.276031+2 4.284487-4 5.477625+2 4.307500-4 5.554860+2 4.354342-4 5.691567+2 4.410000-4 5.823498+2 4.495731-4 5.986898+2 4.602535-4 6.149218+2 4.756544-4 6.331688+2 4.840417-4 6.411694+2 4.919770-4 6.470740+2 5.012864-4 6.517452+2 5.083867-4 6.538707+2 5.133597-4 6.571974+2 5.170501-4 6.620947+2 5.205194-4 6.690679+2 5.242880-4 6.800355+2 5.280000-4 6.949492+2 5.340161-4 7.239101+2 5.380745-4 7.420091+2 5.420087-4 7.569727+2 5.577500-4 8.104188+2 5.639172-4 8.331661+2 5.705100-4 8.538767+2 5.800000-4 8.762324+2 5.914155-4 8.963600+2 6.027020-4 9.118616+2 6.163793-4 9.260747+2 6.304026-4 9.361091+2 6.398029-4 9.409909+2 6.450256-4 9.451679+2 6.499868-4 9.520137+2 6.575325-4 9.681125+2 6.638932-4 9.833613+2 6.705258-4 9.969483+2 6.794595-4 1.010530+3 6.927256-4 1.025028+3 7.092948-4 1.039411+3 7.300000-4 1.053934+3 7.557500-4 1.068201+3 8.095144-4 1.090353+3 8.640000-4 1.104367+3 9.441118-4 1.115077+3 1.010209-3 1.118059+3 1.086926-3 1.116444+3 1.206598-3 1.106644+3 1.262554-3 1.099771+3 1.322057-3 1.089950+3 1.589462-3 1.032873+3 1.749958-3 9.990075+2 1.915194-3 9.571027+2 2.009743-3 9.337721+2 2.097152-3 9.116721+2 2.202771-3 8.825906+2 2.305395-3 8.535786+2 2.411408-3 8.223397+2 2.507202-3 7.930538+2 2.581936-3 7.690358+2 2.662438-3 7.411356+2 2.734482-3 7.137974+2 2.793962-3 6.893697+2 2.843779-3 6.671618+2 2.889970-3 6.446235+2 2.930101-3 6.229145+2 2.966111-3 6.010513+2 2.998477-3 5.787546+2 3.022126-3 5.602242+2 3.045743-3 5.389370+2 3.065373-3 5.181053+2 3.081309-3 4.982498+2 3.094396-3 4.796403+2 3.109871-3 4.554219+2 3.131470-3 4.222114+2 3.141249-3 4.102955+2 3.146621-3 4.052825+2 3.153180-3 4.009864+2 3.160297-3 3.988640+2 3.166571-3 3.993094+2 3.170668-3 4.007702+2 3.178803-3 4.062512+2 3.186505-3 4.142076+2 3.197186-3 4.284920+2 3.216229-3 4.575879+2 3.221997-3 4.660389+2 3.230050-3 4.768655+2 3.240652-3 4.888700+2 3.251430-3 4.981779+2 3.261096-3 5.041841+2 3.271703-3 5.087445+2 3.301131-3 5.176766+2 3.309686-3 5.214646+2 3.318998-3 5.271102+2 3.328619-3 5.348828+2 3.343916-3 5.511995+2 3.378073-3 5.967892+2 3.390779-3 6.129948+2 3.404915-3 6.288062+2 3.420268-3 6.429431+2 3.437776-3 6.554412+2 3.456930-3 6.654542+2 3.477390-3 6.728152+2 3.497437-3 6.774148+2 3.546195-3 6.849714+2 3.560331-3 6.890932+2 3.581854-3 6.992026+2 3.605272-3 7.149219+2 3.634638-3 7.369316+2 3.652290-3 7.489483+2 3.667188-3 7.577640+2 3.690104-3 7.689987+2 3.716919-3 7.793677+2 3.748164-3 7.889469+2 3.782709-3 7.974596+2 3.864549-3 8.122362+2 3.947153-3 8.217715+2 4.070964-3 8.297671+2 4.229316-3 8.324657+2 4.394309-3 8.292251+2 4.579395-3 8.209185+2 4.811492-3 8.061233+2 5.158222-3 7.792159+2 5.551048-3 7.457444+2 5.984492-3 7.080078+2 6.557205-3 6.598515+2 7.161434-3 6.127178+2 7.962354-3 5.568738+2 9.013279-3 4.942707+2 1.013147-2 4.387017+2 1.116246-2 3.951014+2 1.208468-2 3.609235+2 1.302581-2 3.299695+2 1.397944-2 3.018995+2 1.506755-2 2.734529+2 1.622618-2 2.465036+2 1.752871-2 2.198546+2 1.890096-2 1.951771+2 2.000000-2 1.774312+2 2.090842-2 1.637353+2 2.162719-2 1.532328+2 2.221859-2 1.445647+2 2.265672-2 1.378995+2 2.304507-2 1.315373+2 2.330877-2 1.266981+2 2.343094-2 1.241839+2 2.354174-2 1.216640+2 2.363607-2 1.192798+2 2.376762-2 1.155262+2 2.406859-2 1.062110+2 2.415377-2 1.042349+2 2.421778-2 1.032267+2 2.429083-2 1.026773+2 2.435592-2 1.027559+2 2.443239-2 1.034906+2 2.451815-2 1.049851+2 2.478962-2 1.114653+2 2.490427-2 1.138367+2 2.502561-2 1.157812+2 2.518456-2 1.175416+2 2.540114-2 1.189545+2 2.571256-2 1.199031+2 2.603736-2 1.201583+2 2.647180-2 1.198266+2 2.688512-2 1.190528+2 2.762597-2 1.169833+2 2.877182-2 1.129075+2 3.001537-2 1.081087+2 3.164971-2 1.017811+2 3.400000-2 9.309303+1 3.694640-2 8.328119+1 3.945425-2 7.587436+1 4.269516-2 6.747641+1 4.820312-2 5.591284+1 5.308844-2 4.784923+1 5.855297-2 4.058987+1 6.872969-2 3.071926+1 8.612542-2 2.058402+1 1.103999-1 1.318511+1 1.333733-1 9.336750+0 1.644510-1 6.328457+0 2.027509-1 4.262678+0 2.663576-1 2.525685+0 3.788070-1 1.274434+0 5.709301-1 5.699081-1 9.316258-1 2.162208-1 1.947381+0 4.976500-2 5.880996+0 5.465298-3 1.776032+1 5.993645-4 5.363532+1 6.572030-5 1.619761+2 7.206103-6 4.891600+2 7.901336-7 1.584893+3 7.526661-8 5.011872+3 7.526661-9 1.584893+4 7.52666-10 5.011872+4 7.52666-11 1.000000+5 1.89061-11 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 8.487200-7 1.258900-6 1.345100-6 1.584900-6 2.131900-6 1.995300-6 3.378800-6 2.511900-6 5.355000-6 3.162300-6 8.487100-6 3.981100-6 1.345100-5 5.011900-6 2.131800-5 6.309600-6 3.378700-5 7.943300-6 5.354800-5 1.000000-5 8.486800-5 1.258900-5 1.345000-4 1.584900-5 2.131700-4 1.995300-5 3.378500-4 2.511900-5 5.354300-4 3.162300-5 8.485700-4 3.981100-5 1.344800-3 5.011900-5 2.131300-3 6.309600-5 3.377700-3 7.943300-5 5.352600-3 1.000000-4 8.478500-3 1.258900-4 1.342900-2 1.584900-4 2.125300-2 1.995300-4 3.362500-2 2.511900-4 5.314000-2 3.162300-4 8.385000-2 3.981100-4 1.319700-1 5.011900-4 2.069400-1 6.309600-4 3.223500-1 7.943300-4 4.969400-1 1.000000-3 7.555800-1 1.258900-3 1.126300+0 1.584900-3 1.634000+0 1.995300-3 2.292500+0 2.511900-3 3.100500+0 3.162300-3 4.049800+0 3.981100-3 5.150100+0 5.011900-3 6.439800+0 6.309600-3 7.938500+0 7.943300-3 9.611500+0 1.000000-2 1.137600+1 1.258900-2 1.310000+1 1.584900-2 1.477700+1 1.995300-2 1.635700+1 2.511900-2 1.779900+1 3.162300-2 1.902700+1 3.981100-2 1.998800+1 5.011900-2 2.050600+1 6.309600-2 2.092700+1 7.943300-2 2.086200+1 1.000000-1 2.047300+1 1.258900-1 1.983700+1 1.584900-1 1.897100+1 1.995300-1 1.794000+1 2.511900-1 1.679900+1 3.162300-1 1.559000+1 3.981100-1 1.435600+1 5.011900-1 1.312900+1 6.309600-1 1.193000+1 7.943300-1 1.077200+1 1.000000+0 9.669100+0 1.258900+0 8.622300+0 1.584900+0 7.640700+0 1.995300+0 6.727300+0 2.511900+0 5.885500+0 3.162300+0 5.117300+0 3.981100+0 4.423300+0 5.011900+0 3.801900+0 6.309600+0 3.251000+0 7.943300+0 2.766500+0 1.000000+1 2.343800+0 1.258900+1 1.977700+0 1.584900+1 1.662700+0 1.995300+1 1.393200+0 2.511900+1 1.163900+0 3.162300+1 9.697400-1 3.981100+1 8.059900-1 5.011900+1 6.684000-1 6.309600+1 5.532000-1 7.943300+1 4.570100-1 1.000000+2 3.769300-1 1.258900+2 3.104100-1 1.584900+2 2.552700-1 1.995300+2 2.096600-1 2.511900+2 1.720000-1 3.162300+2 1.409500-1 3.981100+2 1.153900-1 5.011900+2 9.437800-2 6.309600+2 7.712300-2 7.943300+2 6.297200-2 1.000000+3 5.137700-2 1.258900+3 4.188700-2 1.584900+3 3.412700-2 1.995300+3 2.778700-2 2.511900+3 2.261000-2 3.162300+3 1.838800-2 3.981100+3 1.494500-2 5.011900+3 1.214100-2 6.309600+3 9.858300-3 7.943300+3 8.000700-3 1.000000+4 6.490300-3 1.258900+4 5.262600-3 1.584900+4 4.265400-3 1.995300+4 3.455800-3 2.511900+4 2.798800-3 3.162300+4 2.265800-3 3.981100+4 1.833700-3 5.011900+4 1.483400-3 6.309600+4 1.199700-3 7.943300+4 9.699300-4 1.000000+5 7.839200-4 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159544-4 3.981072-4 3.976745-4 5.011872-4 5.005025-4 6.309573-4 6.298724-4 7.943282-4 7.926199-4 1.000000-3 9.973079-4 1.258925-3 1.254694-3 1.584893-3 1.578263-3 1.995262-3 1.984916-3 2.511886-3 2.495798-3 3.162278-3 3.137307-3 3.981072-3 3.942235-3 5.011872-3 4.951445-3 6.309573-3 6.215277-3 7.943282-3 7.796147-3 1.000000-2 9.772284-3 1.258925-2 1.223769-2 1.584893-2 1.530848-2 1.995262-2 1.912240-2 2.511886-2 2.384645-2 3.162278-2 2.968026-2 3.981072-2 3.686075-2 5.011872-2 4.566577-2 6.309573-2 5.643337-2 7.943282-2 6.954047-2 1.000000-1 8.543082-2 1.258925-1 1.045552-1 1.584893-1 1.275838-1 1.995262-1 1.551569-1 2.511886-1 1.880074-1 3.162278-1 2.270918-1 3.981072-1 2.734336-1 5.011872-1 3.282080-1 6.309573-1 3.928089-1 7.943282-1 4.689203-1 1.000000+0 5.582782-1 1.258925+0 6.637293-1 1.584893+0 7.880213-1 1.995262+0 9.351288-1 2.511886+0 1.109670+0 3.162278+0 1.317401+0 3.981072+0 1.565370+0 5.011872+0 1.862196+0 6.309573+0 2.218375+0 7.943282+0 2.646847+0 1.000000+1 3.163478+0 1.258925+1 3.787487+0 1.584893+1 4.542625+0 1.995262+1 5.457779+0 2.511886+1 6.568529+0 3.162278+1 7.918494+0 3.981072+1 9.561021+0 5.011872+1 1.156180+1 6.309573+1 1.400144+1 7.943282+1 1.697905+1 1.000000+2 2.061633+1 1.258925+2 2.506372+1 1.584893+2 3.050537+1 1.995262+2 3.716859+1 2.511886+2 4.533374+1 3.162278+2 5.534633+1 3.981072+2 6.763079+1 5.011872+2 8.271413+1 6.309573+2 1.012435+2 7.943282+2 1.240197+2 1.000000+3 1.520291+2 1.258925+3 1.864945+2 1.584893+3 2.289201+2 1.995262+3 2.811751+2 2.511886+3 3.455664+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090665-8 7.943282-5 1.728466-8 1.000000-4 2.738917-8 1.258925-4 4.340252-8 1.584893-4 6.876572-8 1.995262-4 1.089536-7 2.511886-4 1.725928-7 3.162278-4 2.733394-7 3.981072-4 4.327193-7 5.011872-4 6.847302-7 6.309573-4 1.084958-6 7.943282-4 1.708335-6 1.000000-3 2.692130-6 1.258925-3 4.231563-6 1.584893-3 6.629985-6 1.995262-3 1.034638-5 2.511886-3 1.608854-5 3.162278-3 2.497033-5 3.981072-3 3.883655-5 5.011872-3 6.042726-5 6.309573-3 9.429691-5 7.943282-3 1.471353-4 1.000000-2 2.277155-4 1.258925-2 3.515684-4 1.584893-2 5.404495-4 1.995262-2 8.302266-4 2.511886-2 1.272416-3 3.162278-2 1.942517-3 3.981072-2 2.949966-3 5.011872-2 4.452957-3 6.309573-2 6.662362-3 7.943282-2 9.892350-3 1.000000-1 1.456918-2 1.258925-1 2.133731-2 1.584893-1 3.090552-2 1.995262-1 4.436934-2 2.511886-1 6.318123-2 3.162278-1 8.913594-2 3.981072-1 1.246736-1 5.011872-1 1.729792-1 6.309573-1 2.381484-1 7.943282-1 3.254079-1 1.000000+0 4.417218-1 1.258925+0 5.951961-1 1.584893+0 7.968719-1 1.995262+0 1.060134+0 2.511886+0 1.402217+0 3.162278+0 1.844877+0 3.981072+0 2.415702+0 5.011872+0 3.149677+0 6.309573+0 4.091199+0 7.943282+0 5.296435+0 1.000000+1 6.836522+0 1.258925+1 8.801768+0 1.584893+1 1.130631+1 1.995262+1 1.449484+1 2.511886+1 1.855034+1 3.162278+1 2.370428+1 3.981072+1 3.024970+1 5.011872+1 3.855692+1 6.309573+1 4.909430+1 7.943282+1 6.245377+1 1.000000+2 7.938367+1 1.258925+2 1.008288+2 1.584893+2 1.279840+2 1.995262+2 1.623576+2 2.511886+2 2.058549+2 3.162278+2 2.608814+2 3.981072+2 3.304764+2 5.011872+2 4.184731+2 6.309573+2 5.297139+2 7.943282+2 6.703085+2 1.000000+3 8.479709+2 1.258925+3 1.072431+3 1.584893+3 1.355973+3 1.995262+3 1.714087+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 7.670000-6 7.450802+6 8.140000-6 7.963792+6 8.140000-6 1.268935+7 8.511380-6 1.331823+7 9.225714-6 1.447369+7 9.850000-6 1.542988+7 1.000000-5 1.565275+7 1.083927-5 1.682147+7 1.188502-5 1.813309+7 1.200000-5 1.826800+7 1.318257-5 1.958592+7 1.333521-5 1.974491+7 1.513561-5 2.151668+7 1.548817-5 2.184570+7 2.691535-5 3.122322+7 2.917427-5 3.268530+7 3.090295-5 3.357696+7 3.235937-5 3.411715+7 3.350000-5 3.436388+7 3.388442-5 3.441237+7 3.467369-5 3.446027+7 3.507519-5 3.444569+7 3.589219-5 3.436440+7 3.630781-5 3.427939+7 3.715352-5 3.404823+7 3.758374-5 3.388193+7 3.845918-5 3.348092+7 3.890451-5 3.323173+7 3.950000-5 3.285963+7 4.000000-5 3.249956+7 4.073803-5 3.192930+7 4.120975-5 3.152481+7 4.180000-5 3.099022+7 4.229500-5 3.050481+7 4.300000-5 2.978764+7 4.350000-5 2.924650+7 4.415704-5 2.851482+7 4.466836-5 2.791673+7 4.540000-5 2.705104+7 4.570882-5 2.667119+7 4.650000-5 2.569224+7 4.680000-5 2.531032+7 4.786301-5 2.396794+7 4.800000-5 2.379239+7 4.900000-5 2.252126+7 5.011872-5 2.110164+7 5.040000-5 2.074816+7 5.150000-5 1.939250+7 5.188000-5 1.893057+7 5.300000-5 1.761232+7 5.308844-5 1.750901+7 5.450000-5 1.592180+7 5.509000-5 1.527107+7 5.509000-5 1.817090+7 5.560000-5 1.759728+7 5.623413-5 1.689848+7 5.690000-5 1.614574+7 5.760000-5 1.538827+7 5.800000-5 1.497037+7 5.850000-5 1.444355+7 5.956621-5 1.338283+7 5.968000-5 1.327114+7 5.968000-5 1.457933+7 6.000000-5 1.426749+7 6.015000-5 1.412304+7 6.070000-5 1.360173+7 6.095369-5 1.336608+7 6.150000-5 1.285975+7 6.165950-5 1.271473+7 6.237348-5 1.208601+7 6.330000-5 1.129543+7 6.400000-5 1.073610+7 6.456542-5 1.029454+7 6.580000-5 9.395875+6 6.643000-5 8.960377+6 6.760830-5 8.206080+6 6.850000-5 7.669293+6 6.950000-5 7.114957+6 7.150000-5 6.114193+6 7.161434-5 6.060549+6 7.350000-5 5.250504+6 7.500000-5 4.683945+6 7.585776-5 4.387461+6 7.673615-5 4.106736+6 7.852356-5 3.587684+6 8.035261-5 3.128756+6 8.150000-5 2.871237+6 8.230000-5 2.708341+6 8.413951-5 2.367679+6 8.450000-5 2.307069+6 8.511380-5 2.207348+6 8.650000-5 2.002326+6 8.912509-5 1.673644+6 9.101000-5 1.480334+6 9.101000-5 1.608494+6 9.150000-5 1.565601+6 9.225714-5 1.503950+6 9.250000-5 1.485129+6 9.400000-5 1.376534+6 9.500000-5 1.312268+6 9.550000-5 1.282445+6 9.580000-5 1.264993+6 9.660509-5 1.220883+6 9.700000-5 1.200711+6 9.720000-5 1.190629+6 9.800000-5 1.152240+6 9.900000-5 1.108803+6 9.950000-5 1.088759+6 1.000000-4 1.069873+6 1.005000-4 1.051874+6 1.010000-4 1.034764+6 1.011579-4 1.029629+6 1.020000-4 1.002760+6 1.023293-4 9.931559+5 1.030000-4 9.747796+5 1.035142-4 9.614389+5 1.047129-4 9.330863+5 1.050000-4 9.269914+5 1.059254-4 9.086829+5 1.060000-4 9.073414+5 1.070000-4 8.900262+5 1.071519-4 8.875794+5 1.080000-4 8.746751+5 1.083927-4 8.691272+5 1.090000-4 8.614816+5 1.095000-4 8.557105+5 1.100000-4 8.502761+5 1.105000-4 8.452559+5 1.110000-4 8.405332+5 1.115000-4 8.362199+5 1.120000-4 8.321690+5 1.122018-4 8.307429+5 1.124000-4 8.294192+5 1.131000-4 8.250796+5 1.135011-4 8.228473+5 1.143000-4 8.188301+5 1.148154-4 8.165740+5 1.150000-4 8.158586+5 1.155000-4 8.140839+5 1.161449-4 8.121915+5 1.161500-4 8.121793+5 1.170000-4 8.105191+5 1.175000-4 8.097155+5 1.180000-4 8.091247+5 1.185000-4 8.086909+5 1.190000-4 8.085236+5 1.205000-4 8.086642+5 1.216186-4 8.100989+5 1.220000-4 8.106998+5 1.230269-4 8.129963+5 1.240000-4 8.151041+5 1.244515-4 8.162317+5 1.250000-4 8.177435+5 1.260000-4 8.208395+5 1.270000-4 8.243817+5 1.288250-4 8.314932+5 1.303167-4 8.378973+5 1.333521-4 8.513287+5 1.348963-4 8.591839+5 1.364583-4 8.669705+5 1.380384-4 8.748880+5 1.396368-4 8.833669+5 1.400000-4 8.852006+5 1.412538-4 8.914747+5 1.440000-4 9.051604+5 1.450000-4 9.099304+5 1.480000-4 9.245165+5 1.496236-4 9.320951+5 1.513561-4 9.399125+5 1.520000-4 9.427886+5 1.540000-4 9.511148+5 1.566751-4 9.620828+5 1.584893-4 9.689556+5 1.611900-4 9.786750+5 1.621810-4 9.819315+5 1.635000-4 9.861648+5 1.659587-4 9.934984+5 1.678804-4 9.986900+5 1.690000-4 1.001758+6 1.705000-4 1.005546+6 1.720000-4 1.008846+6 1.737801-4 1.012596+6 1.740000-4 1.013040+6 1.760000-4 1.016632+6 1.800000-4 1.022491+6 1.820000-4 1.024986+6 1.850000-4 1.027833+6 1.862087-4 1.028880+6 1.883649-4 1.030321+6 1.927525-4 1.031387+6 1.930000-4 1.031441+6 1.950000-4 1.031472+6 1.980000-4 1.030717+6 2.000000-4 1.030078+6 2.020000-4 1.029064+6 2.041738-4 1.027484+6 2.089296-4 1.023620+6 2.120000-4 1.019791+6 2.162719-4 1.014332+6 2.180000-4 1.011814+6 2.213095-4 1.006493+6 2.264644-4 9.979587+5 2.290868-4 9.930493+5 2.371374-4 9.769437+5 2.398833-4 9.711506+5 2.400000-4 9.708916+5 2.454709-4 9.585460+5 2.483133-4 9.522107+5 2.511886-4 9.454537+5 2.600160-4 9.243207+5 2.630268-4 9.167570+5 2.660725-4 9.089785+5 2.722701-4 8.934479+5 2.754229-4 8.853350+5 2.818383-4 8.687527+5 2.851018-4 8.605051+5 2.884032-4 8.521475+5 2.900000-4 8.479537+5 2.917427-4 8.433823+5 3.054921-4 8.079975+5 3.100000-4 7.962378+5 3.126079-4 7.894649+5 3.235937-4 7.617009+5 3.350000-4 7.331094+5 3.388442-4 7.237781+5 3.425100-4 7.150134+5 3.425100-4 7.934778+5 3.427678-4 7.933503+5 3.468000-4 7.912356+5 3.482400-4 7.912333+5 3.482400-4 8.474645+5 3.483000-4 8.475326+5 3.495000-4 8.495583+5 3.505000-4 8.519358+5 3.515000-4 8.551027+5 3.525000-4 8.592275+5 3.534000-4 8.641488+5 3.540000-4 8.680486+5 3.541000-4 8.687482+5 3.549000-4 8.751285+5 3.552000-4 8.778541+5 3.556000-4 8.817521+5 3.563000-4 8.894906+5 3.565000-4 8.918773+5 3.573000-4 9.026934+5 3.575000-4 9.056068+5 3.580000-4 9.136773+5 3.585000-4 9.223792+5 3.590000-4 9.320456+5 3.595000-4 9.424818+5 3.598000-4 9.493365+5 3.608000-4 9.744144+5 3.616000-4 9.979581+5 3.623000-4 1.020725+6 3.624000-4 1.024221+6 3.630781-4 1.049406+6 3.632000-4 1.054122+6 3.639000-4 1.082890+6 3.650000-4 1.133703+6 3.661000-4 1.192129+6 3.672823-4 1.264502+6 3.673000-4 1.265633+6 3.685000-4 1.348709+6 3.690000-4 1.385634+6 3.700000-4 1.466220+6 3.710000-4 1.552949+6 3.720000-4 1.646158+6 3.730000-4 1.745672+6 3.740000-4 1.850191+6 3.745000-4 1.904015+6 3.750000-4 1.959501+6 3.758374-4 2.053935+6 3.760000-4 2.073060+6 3.770000-4 2.189293+6 3.780000-4 2.307562+6 3.790000-4 2.426875+6 3.801894-4 2.568847+6 3.815000-4 2.723614+6 3.828000-4 2.873639+6 3.839000-4 2.995504+6 3.843000-4 3.039885+6 3.845918-4 3.070696+6 3.850000-4 3.114456+6 3.855000-4 3.167175+6 3.860000-4 3.217668+6 3.870000-4 3.317937+6 3.885000-4 3.457802+6 3.900000-4 3.586825+6 3.915000-4 3.703704+6 3.920000-4 3.741270+6 3.930000-4 3.810842+6 3.942000-4 3.890976+6 3.945000-4 3.909629+6 3.960000-4 3.998316+6 3.981072-4 4.106486+6 3.985000-4 4.125358+6 4.000000-4 4.189827+6 4.015000-4 4.249671+6 4.023000-4 4.277582+6 4.027170-4 4.290660+6 4.050000-4 4.362996+6 4.080000-4 4.435060+6 4.115000-4 4.493639+6 4.120975-4 4.501890+6 4.150000-4 4.529815+6 4.165000-4 4.540301+6 4.190000-4 4.548382+6 4.216965-4 4.549834+6 4.240000-4 4.543229+6 4.280000-4 4.523221+6 4.335000-4 4.472077+6 4.350000-4 4.456109+6 4.365158-4 4.437040+6 4.390000-4 4.406061+6 4.415704-4 4.371525+6 4.466836-4 4.303852+6 4.470000-4 4.299444+6 4.731513-4 3.939281+6 4.850000-4 3.791662+6 4.897788-4 3.734612+6 4.954502-4 3.668643+6 5.011872-4 3.602618+6 5.069907-4 3.534734+6 5.188000-4 3.402350+6 5.230000-4 3.355555+6 5.268000-4 3.312052+6 5.268000-4 3.594265+6 5.274000-4 3.598241+6 5.280000-4 3.600461+6 5.287000-4 3.601023+6 5.295000-4 3.599848+6 5.304000-4 3.596825+6 5.308844-4 3.594496+6 5.315000-4 3.591586+6 5.330000-4 3.582639+6 5.350000-4 3.568862+6 5.370318-4 3.553475+6 5.378000-4 3.547740+6 5.410000-4 3.522195+6 5.432503-4 3.503364+6 5.450000-4 3.488424+6 5.495409-4 3.447888+6 5.500000-4 3.443584+6 5.541400-4 3.403890+6 5.552500-4 3.392788+6 5.552500-4 3.503151+6 5.559043-4 3.501631+6 5.563000-4 3.500366+6 5.568000-4 3.498356+6 5.575000-4 3.494941+6 5.585000-4 3.489115+6 5.597000-4 3.481260+6 5.600000-4 3.479089+6 5.613000-4 3.469103+6 5.628000-4 3.457035+6 5.650000-4 3.438791+6 5.663600-4 3.427184+6 5.680000-4 3.412716+6 5.710000-4 3.385826+6 5.730000-4 3.367667+6 5.755000-4 3.344794+6 5.800000-4 3.303216+6 5.821032-4 3.283598+6 5.850000-4 3.256537+6 5.888437-4 3.220381+6 5.900000-4 3.209622+6 5.956621-4 3.156785+6 6.000000-4 3.116507+6 6.050000-4 3.070045+6 6.237348-4 2.904489+6 6.309573-4 2.843416+6 6.382635-4 2.783686+6 6.456542-4 2.723581+6 6.549400-4 2.650801+6 6.549400-4 2.759729+6 6.606934-4 2.715502+6 6.700000-4 2.645050+6 6.760830-4 2.600547+6 6.850000-4 2.535906+6 7.000000-4 2.431818+6 7.080000-4 2.378296+6 7.161434-4 2.325479+6 7.300000-4 2.239645+6 7.328245-4 2.222477+6 7.500000-4 2.122399+6 7.585776-4 2.074755+6 7.673615-4 2.027058+6 7.730000-4 1.997293+6 7.800000-4 1.961134+6 7.943282-4 1.889666+6 8.035261-4 1.845113+6 8.128305-4 1.801672+6 8.413951-4 1.675891+6 8.511380-4 1.635773+6 8.709636-4 1.557363+6 8.810489-4 1.519546+6 9.015711-4 1.446160+6 9.200000-4 1.384638+6 9.225714-4 1.376303+6 9.332543-4 1.342437+6 9.440609-4 1.309103+6 9.549926-4 1.276603+6 9.660509-4 1.244940+6 9.700000-4 1.233875+6 9.850000-4 1.192839+6 1.011579-3 1.124546+6 1.023293-3 1.096305+6 1.030000-3 1.080395+6 1.047129-3 1.041152+6 1.059254-3 1.014657+6 1.071519-3 9.886829+5 1.083927-3 9.633958+5 1.122018-3 8.912015+5 1.135011-3 8.681393+5 1.150000-3 8.425924+5 1.174898-3 8.024917+5 1.188502-3 7.816577+5 1.230269-3 7.220744+5 1.244515-3 7.032132+5 1.258925-3 6.848424+5 1.270000-3 6.711906+5 1.288250-3 6.493548+5 1.303167-3 6.321569+5 1.330000-3 6.026899+5 1.396368-3 5.377929+5 1.400000-3 5.345397+5 1.428894-3 5.094834+5 1.445440-3 4.958280+5 1.462177-3 4.825550+5 1.479108-3 4.695518+5 1.548817-3 4.210283+5 1.570000-3 4.077395+5 1.580000-3 4.015848+5 1.584893-3 3.986208+5 1.610000-3 3.839046+5 1.621810-3 3.772313+5 1.640590-3 3.669118+5 1.650000-3 3.618946+5 1.717908-3 3.284543+5 1.737801-3 3.195120+5 1.757924-3 3.107147+5 1.778279-3 3.021443+5 1.819701-3 2.857272+5 1.840772-3 2.778401+5 1.905461-3 2.555212+5 1.927525-3 2.485039+5 1.949845-3 2.416196+5 1.950000-3 2.415728+5 1.972423-3 2.348881+5 2.000000-3 2.270002+5 2.018366-3 2.219549+5 2.065380-3 2.097139+5 2.113489-3 1.981782+5 2.137962-3 1.926608+5 2.150000-3 1.900282+5 2.162719-3 1.872834+5 2.187762-3 1.820258+5 2.238721-3 1.719201+5 2.264644-3 1.670810+5 2.317395-3 1.577832+5 2.344229-3 1.533383+5 2.371374-3 1.490232+5 2.398833-3 1.448332+5 2.426610-3 1.407353+5 2.540973-3 1.253899+5 2.570396-3 1.218208+5 2.600160-3 1.183503+5 2.630268-3 1.149804+5 2.691535-3 1.085378+5 2.754229-3 1.024042+5 2.818383-3 9.660607+4 2.851018-3 9.383634+4 2.884032-3 9.113876+4 2.917427-3 8.852103+4 3.000000-3 8.249448+4 3.019952-3 8.111748+4 3.126079-3 7.427406+4 3.162278-3 7.212103+4 3.170600-3 7.163853+4 3.170600-3 2.419615+5 3.198895-3 2.369167+5 3.235937-3 2.305357+5 3.273407-3 2.243243+5 3.275000-3 2.240655+5 3.290000-3 2.213757+5 3.320000-3 2.166394+5 3.332600-3 2.144641+5 3.332600-3 2.954091+5 3.349654-3 2.915012+5 3.388442-3 2.828633+5 3.450000-3 2.705466+5 3.470000-3 2.668170+5 3.480000-3 2.649097+5 3.507519-3 2.595110+5 3.548134-3 2.518142+5 3.550000-3 2.514683+5 3.580000-3 2.461519+5 3.580000-3 2.823799+5 3.589219-3 2.806494+5 3.605000-3 2.777205+5 3.630781-3 2.730303+5 3.672823-3 2.654970+5 3.700000-3 2.607861+5 3.715352-3 2.581296+5 3.758374-3 2.508841+5 3.770000-3 2.489334+5 3.845918-3 2.369085+5 3.900000-3 2.287487+5 3.920000-3 2.258310+5 4.027170-3 2.109033+5 4.073803-3 2.048426+5 4.120975-3 1.989609+5 4.216965-3 1.876216+5 4.265795-3 1.821935+5 4.315191-3 1.769208+5 4.365158-3 1.717834+5 4.415704-3 1.667623+5 4.570882-3 1.525772+5 4.623810-3 1.481283+5 4.650000-3 1.459946+5 4.677351-3 1.438071+5 4.731513-3 1.396096+5 4.800000-3 1.345394+5 4.841724-3 1.315753+5 5.011872-3 1.203940+5 5.069907-3 1.168837+5 5.128614-3 1.134578+5 5.188000-3 1.101350+5 5.248075-3 1.069113+5 5.308844-3 1.037732+5 5.370318-3 1.007308+5 5.432503-3 9.777818+4 5.500000-3 9.468174+4 5.688529-3 8.673234+4 5.754399-3 8.416375+4 5.800000-3 8.244819+4 5.821032-3 8.166731+4 5.888437-3 7.923336+4 5.956621-3 7.687348+4 6.025596-3 7.458411+4 6.237348-3 6.811367+4 6.309573-3 6.608089+4 6.382635-3 6.410979+4 6.456542-3 6.219845+4 6.531306-3 6.032143+4 6.683439-3 5.674021+4 6.839116-3 5.335353+4 6.918310-3 5.173541+4 7.000000-3 5.013737+4 7.161434-3 4.717494+4 7.244360-3 4.574781+4 7.328245-3 4.436487+4 7.500000-3 4.171101+4 7.585776-3 4.046002+4 7.762471-3 3.804323+4 7.800000-3 3.755603+4 7.852356-3 3.689036+4 8.035261-3 3.467170+4 8.128305-3 3.361038+4 8.222426-3 3.258226+4 8.317638-3 3.158551+4 8.609938-3 2.876899+4 8.709636-3 2.788846+4 8.810489-3 2.703061+4 8.912509-3 2.619983+4 9.225714-3 2.384951+4 9.332543-3 2.311513+4 9.440609-3 2.240403+4 9.549926-3 2.171545+4 9.660509-3 2.104803+4 9.772372-3 2.039691+4 1.000000-2 1.915578+4 1.011579-2 1.856454+4 1.023293-2 1.799136+4 1.059254-2 1.636626+4 1.083927-2 1.536322+4 1.109175-2 1.442323+4 1.135011-2 1.353727+4 1.150000-2 1.305755+4 1.174898-2 1.231088+4 1.202264-2 1.155660+4 1.216186-2 1.119742+4 1.244515-2 1.050894+4 1.258925-2 1.017894+4 1.273503-2 9.859508+3 1.303167-2 9.249090+3 1.333521-2 8.676313+3 1.350000-2 8.385781+3 1.380384-2 7.884206+3 1.428894-2 7.166112+3 1.445440-2 6.940836+3 1.462177-2 6.722821+3 1.479108-2 6.510252+3 1.500000-2 6.259928+3 1.513561-2 6.104366+3 1.566751-2 5.542760+3 1.584893-2 5.367462+3 1.640590-2 4.874952+3 1.650000-2 4.797991+3 1.659587-2 4.720986+3 1.698244-2 4.427223+3 1.717908-2 4.286185+3 1.737801-2 4.149741+3 1.757924-2 4.017626+3 1.798871-2 3.765922+3 1.840772-2 3.530263+3 1.905461-2 3.204730+3 1.927525-2 3.102788+3 2.000000-2 2.795893+3 2.018366-2 2.724589+3 2.041738-2 2.637420+3 2.089296-2 2.471365+3 2.162719-2 2.242037+3 2.187762-2 2.170528+3 2.213095-2 2.101348+3 2.238721-2 2.033923+3 2.264644-2 1.968478+3 2.317395-2 1.843975+3 2.344229-2 1.784738+3 2.398833-2 1.672037+3 2.400000-2 1.669734+3 2.432100-2 1.607923+3 2.432100-2 1.028271+4 2.447000-2 1.017976+4 2.449000-2 1.015945+4 2.500000-2 9.660342+3 2.540973-2 9.235112+3 2.570396-2 8.971819+3 2.625000-2 8.509809+3 2.630268-2 8.464390+3 2.660725-2 8.208113+3 2.691535-2 7.959631+3 2.754229-2 7.485061+3 2.786121-2 7.258546+3 2.818383-2 7.043701+3 2.884032-2 6.632906+3 2.951209-2 6.246070+3 2.985383-2 6.061237+3 3.000000-2 5.984495+3 3.054921-2 5.707530+3 3.090295-2 5.538485+3 3.162278-2 5.208120+3 3.273407-2 4.749062+3 3.311311-2 4.605257+3 3.400000-2 4.291368+3 3.427678-2 4.198419+3 3.507519-2 3.945305+3 3.548134-2 3.824378+3 3.758374-2 3.273278+3 3.801894-2 3.171673+3 3.845918-2 3.073232+3 3.890451-2 2.977858+3 3.935501-2 2.885399+3 4.073803-2 2.624952+3 4.120975-2 2.543389+3 4.168694-2 2.464365+3 4.265795-2 2.313625+3 4.315191-2 2.241758+3 4.365158-2 2.172131+3 4.415704-2 2.104674+3 4.518559-2 1.975975+3 4.623810-2 1.855164+3 4.677351-2 1.796515+3 4.786301-2 1.684707+3 4.800000-2 1.671325+3 4.954502-2 1.529773+3 5.128614-2 1.389103+3 5.495409-2 1.145456+3 5.559043-2 1.109226+3 5.688529-2 1.040173+3 5.800000-2 9.852668+2 5.888437-2 9.438511+2 6.095369-2 8.557315+2 6.165950-2 8.282297+2 6.456542-2 7.267825+2 6.606934-2 6.808274+2 6.760830-2 6.377745+2 6.839116-2 6.172821+2 7.079458-2 5.596147+2 7.244360-2 5.241988+2 7.328245-2 5.071443+2 7.498942-2 4.746842+2 8.000000-2 3.942108+2 8.222426-2 3.643534+2 8.709636-2 3.087888+2 9.015711-2 2.796094+2 9.225714-2 2.615485+2 9.885531-2 2.140766+2 1.011580-1 2.002506+2 1.059254-1 1.752007+2 1.083927-1 1.638775+2 1.096478-1 1.584937+2 1.109175-1 1.532872+2 1.122019-1 1.482520+2 1.161449-1 1.341185+2 1.188502-1 1.254548+2 1.230269-1 1.134543+2 1.244515-1 1.097151+2 1.258925-1 1.060996+2 1.273503-1 1.026031+2 1.288250-1 9.922154+1 1.303167-1 9.595168+1 1.318257-1 9.278963+1 1.364583-1 8.391174+1 1.428894-1 7.338352+1 1.445440-1 7.096522+1 1.479108-1 6.636538+1 1.531088-1 6.001886+1 1.548817-1 5.804137+1 1.603245-1 5.249172+1 1.659587-1 4.747296+1 1.678804-1 4.590931+1 1.698244-1 4.439715+1 1.737801-1 4.152116+1 1.778279-1 3.883161+1 1.819701-1 3.631635+1 1.862087-1 3.396423+1 1.883649-1 3.284595+1 1.905461-1 3.176450+1 1.949845-1 2.970733+1 1.972423-1 2.873837+1 2.041738-1 2.601755+1 2.065380-1 2.516932+1 2.089296-1 2.434877+1 2.113489-1 2.355498+1 2.137962-1 2.278786+1 2.162719-1 2.204573+1 2.213095-1 2.063325+1 2.238721-1 1.996135+1 2.264644-1 1.931151+1 2.290868-1 1.868282+1 2.317395-1 1.807464+1 2.371374-1 1.691706+1 2.398833-1 1.636640+1 2.400000-1 1.634354+1 2.426610-1 1.584026+1 2.454709-1 1.533131+1 2.483133-1 1.483874+1 2.528300-1 1.409910+1 2.540973-1 1.390059+1 2.570396-1 1.345407+1 2.660725-1 1.219893+1 2.691535-1 1.180764+1 2.722701-1 1.142893+1 2.754229-1 1.106237+1 2.786121-1 1.070759+1 2.818383-1 1.036419+1 2.917427-1 9.412794+0 2.951209-1 9.115526+0 2.985383-1 8.827642+0 3.000000-1 8.708324+0 3.054921-1 8.279112+0 3.126079-1 7.764692+0 3.235937-1 7.053612+0 3.273407-1 6.835043+0 3.311311-1 6.623276+0 3.349654-1 6.418078+0 3.388442-1 6.219234+0 3.427678-1 6.026559+0 3.467369-1 5.839856+0 3.507519-1 5.659033+0 3.589219-1 5.314015+0 3.630781-1 5.149773+0 3.672823-1 4.990613+0 3.715352-1 4.839162+0 3.758374-1 4.692316+0 3.801894-1 4.549929+0 3.845918-1 4.411888+0 3.890451-1 4.278041+0 3.935501-1 4.148252+0 4.027170-1 3.900461+0 4.073803-1 3.782176+0 4.120975-1 3.667728+0 4.168694-1 3.558944+0 4.216965-1 3.453408+0 4.265795-1 3.351010+0 4.365158-1 3.155238+0 4.415705-1 3.061683+0 4.518559-1 2.882894+0 4.570882-1 2.797466+0 4.623810-1 2.714763+0 4.731513-1 2.559988+0 4.841724-1 2.414054+0 4.954502-1 2.276447+0 5.011872-1 2.210655+0 5.069907-1 2.146774+0 5.128614-1 2.084739+0 5.248075-1 1.968976+0 5.308844-1 1.913535+0 5.370318-1 1.859657+0 5.432503-1 1.807296+0 5.495409-1 1.756420+0 5.559043-1 1.706999+0 5.688529-1 1.612304+0 5.821032-1 1.525263+0 5.888437-1 1.483528+0 5.956621-1 1.442935+0 6.025596-1 1.403462+0 6.095369-1 1.365069+0 6.165950-1 1.327744+0 6.237348-1 1.291446+0 6.309573-1 1.256140+0 6.382635-1 1.222768+0 6.456542-1 1.190286+0 6.531306-1 1.158669+0 6.606935-1 1.127898+0 6.760830-1 1.068788+0 6.839117-1 1.040424+0 6.918310-1 1.013571+0 6.998420-1 9.874105-1 7.079458-1 9.619992-1 7.161434-1 9.372428-1 7.244360-1 9.131310-1 7.328245-1 8.896399-1 7.413102-1 8.667531-1 7.498942-1 8.444586-1 7.585776-1 8.227495-1 7.673615-1 8.021729-1 7.762471-1 7.821118-1 7.852356-1 7.626066-1 7.943282-1 7.435905-1 8.035261-1 7.250503-1 8.222427-1 6.893452-1 8.413951-1 6.553991-1 8.511380-1 6.394704-1 8.609938-1 6.239811-1 8.709636-1 6.088707-1 8.912509-1 5.797433-1 9.015711-1 5.657064-1 9.120108-1 5.520095-1 9.225714-1 5.386476-1 9.332543-1 5.256210-1 9.440609-1 5.129530-1 9.549926-1 5.010194-1 9.660509-1 4.893651-1 9.772372-1 4.779846-1 9.885531-1 4.668693-1 1.000000+0 4.560162-1 1.011579+0 4.454159-1 1.023293+0 4.350662-1 1.035142+0 4.252081-1 1.059254+0 4.061566-1 1.071519+0 3.969547-1 1.083927+0 3.879612-1 1.096478+0 3.791739-1 1.109175+0 3.705852-1 1.135011+0 3.539910-1 1.148154+0 3.459749-1 1.161449+0 3.381456-1 1.174898+0 3.308248-1 1.188600+0 3.236141-1 1.202264+0 3.166621-1 1.216186+0 3.098107-1 1.250000+0 2.940829-1 1.273503+0 2.838624-1 1.288250+0 2.777241-1 1.303167+0 2.718791-1 1.318257+0 2.661579-1 1.348963+0 2.550744-1 1.364583+0 2.497069-1 1.396368+0 2.393098-1 1.412538+0 2.342744-1 1.428894+0 2.293455-1 1.462177+0 2.198032-1 1.513561+0 2.066785-1 1.531087+0 2.024801-1 1.566751+0 1.943383-1 1.621810+0 1.827423-1 1.640590+0 1.791531-1 1.659587+0 1.756347-1 1.698244+0 1.688048-1 1.717908+0 1.654903-1 1.757924+0 1.590566-1 1.819701+0 1.498777-1 1.840772+0 1.470327-1 1.862087+0 1.442419-1 1.883649+0 1.415041-1 1.927525+0 1.361845-1 1.949845+0 1.336002-1 1.972423+0 1.310656-1 1.995262+0 1.285792-1 2.018366+0 1.261414-1 2.065380+0 1.214035-1 2.089296+0 1.191820-1 2.113489+0 1.170014-1 2.162719+0 1.127599-1 2.187762+0 1.106972-1 2.213095+0 1.086728-1 2.238721+0 1.066854-1 2.264644+0 1.047356-1 2.317395+0 1.009422-1 2.344229+0 9.915554-2 2.371374+0 9.740665-2 2.398833+0 9.568871-2 2.454709+0 9.234386-2 2.483133+0 9.071556-2 2.511886+0 8.911643-2 2.540973+0 8.754543-2 2.570396+0 8.600314-2 2.630268+0 8.299961-2 2.660725+0 8.158338-2 2.691535+0 8.019594-2 2.722701+0 7.883219-2 2.786121+0 7.617436-2 2.818383+0 7.487924-2 2.884032+0 7.235535-2 2.917427+0 7.112551-2 2.951209+0 6.991729-2 3.019952+0 6.756206-2 3.054921+0 6.644738-2 3.126079+0 6.427964-2 3.162278+0 6.322245-2 3.235937+0 6.116040-2 3.273407+0 6.015475-2 3.349654+0 5.819330-2 3.388442+0 5.723667-2 3.427678+0 5.629635-2 3.507519+0 5.446179-2 3.548134+0 5.359398-2 3.630781+0 5.190521-2 3.672823+0 5.108093-2 3.758374+0 4.947174-2 3.801894+0 4.868625-2 3.890451+0 4.715292-2 3.935501+0 4.640444-2 4.000000+0 4.536839-2 4.073803+0 4.423081-2 4.168694+0 4.287821-2 4.265795+0 4.157112-2 4.315191+0 4.093260-2 4.415704+0 3.968511-2 4.466836+0 3.907569-2 4.570882+0 3.788510-2 4.623810+0 3.730348-2 4.677351+0 3.673112-2 4.786301+0 3.561259-2 4.897788+0 3.455885-2 5.011872+0 3.353937-2 5.128614+0 3.254999-2 5.248075+0 3.158998-2 5.308844+0 3.112066-2 5.432503+0 3.020305-2 5.495409+0 2.975444-2 5.559043+0 2.931274-2 5.688529+0 2.844892-2 5.821032+0 2.763371-2 6.000000+0 2.660012-2 6.165950+0 2.570207-2 6.309573+0 2.496791-2 6.382635+0 2.460873-2 6.531306+0 2.390597-2 6.606934+0 2.356216-2 6.683439+0 2.322349-2 6.839116+0 2.256067-2 7.000000+0 2.192976-2 7.161434+0 2.133013-2 7.328245+0 2.074123-2 7.498942+0 2.016867-2 7.585776+0 1.988835-2 7.852356+0 1.907072-2 8.035261+0 1.854439-2 8.128305+0 1.828681-2 8.222427+0 1.803281-2 8.609938+0 1.705159-2 8.912509+0 1.636866-2 9.120108+0 1.592995-2 9.225714+0 1.571503-2 9.332543+0 1.550304-2 9.440609+0 1.529392-2 9.549926+0 1.508767-2 9.772372+0 1.468348-2 9.885531+0 1.448556-2 1.000000+1 1.429031-2 1.059254+1 1.335283-2 1.109175+1 1.266409-2 1.148154+1 1.217222-2 1.174898+1 1.185497-2 1.188502+1 1.169950-2 1.202264+1 1.154606-2 1.216186+1 1.139467-2 1.230269+1 1.124533-2 1.273503+1 1.080897-2 1.396368+1 9.743595-3 1.531087+1 8.785242-3 1.548817+1 8.672270-3 1.566751+1 8.560762-3 1.584893+1 8.450700-3 1.600000+1 8.361073-3 1.603245+1 8.342059-3 1.621810+1 8.234873-3 1.840772+1 7.164706-3 2.018366+1 6.476363-3 2.041738+1 6.395106-3 2.065380+1 6.314871-3 2.089296+1 6.235653-3 2.113489+1 6.157429-3 2.137962+1 6.080229-3 2.540973+1 5.050161-3 2.818383+1 4.518903-3 2.851018+1 4.463438-3 2.884032+1 4.408653-3 2.917427+1 4.354549-3 2.951209+1 4.301109-3 2.985383+1 4.248349-3 3.672823+1 3.415282-3 4.168694+1 2.989468-3 4.216965+1 2.953497-3 4.265795+1 2.917958-3 4.315191+1 2.882850-3 4.365158+1 2.848166-3 4.415704+1 2.813898-3 4.466836+1 2.780057-3 4.518559+1 2.747131-3 5.623413+1 2.190616-3 6.456542+1 1.899175-3 6.606934+1 1.854519-3 6.683439+1 1.832587-3 6.839116+1 1.789501-3 6.918310+1 1.768340-3 6.998420+1 1.747428-3 7.079458+1 1.726770-3 7.161434+1 1.706356-3 7.244360+1 1.686401-3 1.059254+2 1.143859-3 1.161449+2 1.041241-3 1.174898+2 1.029079-3 1.188502+2 1.017059-3 1.202264+2 1.005180-3 1.216186+2 9.934397-4 1.230269+2 9.818368-4 1.244515+2 9.703720-4 2.113489+2 5.679796-4 2.317395+2 5.174905-4 2.344229+2 5.115036-4 2.371374+2 5.055858-4 2.398833+2 4.997368-4 2.426610+2 4.939554-4 2.454709+2 4.882410-4 2.483133+2 4.825936-4 4.216965+2 2.834795-4 4.623810+2 2.584370-4 4.677351+2 2.554664-4 4.731513+2 2.525299-4 4.786301+2 2.496273-4 9.660509+2 1.233183-4 9.772372+2 1.219009-4 9.885531+2 1.204999-4 3.349654+3 3.553295-5 3.672823+3 3.240491-5 3.715352+3 3.203379-5 3.758374+3 3.166692-5 3.801894+3 3.130425-5 3.054921+4 3.891810-6 3.090295+4 3.847239-6 3.126079+4 3.803179-6 1.000000+5 1.188966-6 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 7.670000-6 7.670000-6 8.140000-6 7.670000-6 8.140000-6 7.845030-6 5.509000-5 7.865647-6 5.509000-5 9.106648-6 5.760000-5 9.189593-6 5.968000-5 9.227615-6 5.968000-5 9.823989-6 6.330000-5 9.969351-6 6.950000-5 1.019373-5 7.500000-5 1.046233-5 7.852356-5 1.068236-5 8.230000-5 1.096892-5 8.650000-5 1.134887-5 9.101000-5 1.182398-5 9.101000-5 1.273891-5 9.720000-5 1.389068-5 1.005000-4 1.443285-5 1.035142-4 1.484335-5 1.060000-4 1.510386-5 1.090000-4 1.532091-5 1.124000-4 1.544483-5 1.161500-4 1.545286-5 1.205000-4 1.534230-5 1.270000-4 1.503903-5 1.412538-4 1.426856-5 1.496236-4 1.388195-5 1.584893-4 1.354786-5 1.705000-4 1.320243-5 1.820000-4 1.295900-5 1.980000-4 1.271984-5 2.180000-4 1.251935-5 2.454709-4 1.235866-5 2.754229-4 1.226996-5 3.235937-4 1.224258-5 3.425100-4 1.225544-5 3.425100-4 1.334246-5 3.482400-4 1.351521-5 3.482400-4 1.417335-5 3.515000-4 1.435823-5 3.541000-4 1.457800-5 3.565000-4 1.487414-5 3.585000-4 1.520819-5 3.608000-4 1.569963-5 3.632000-4 1.633081-5 3.661000-4 1.720133-5 3.700000-4 1.841030-5 3.730000-4 1.923760-5 3.760000-4 1.991711-5 3.790000-4 2.044329-5 3.828000-4 2.092321-5 3.870000-4 2.127656-5 3.920000-4 2.154209-5 4.000000-4 2.177925-5 4.120975-4 2.194746-5 4.350000-4 2.204325-5 5.268000-4 2.206772-5 5.268000-4 2.338817-5 5.295000-4 2.355381-5 5.378000-4 2.375833-5 5.552500-4 2.397723-5 5.552500-4 2.446941-5 5.613000-4 2.463300-5 5.821032-4 2.484905-5 6.549400-4 2.518454-5 6.549400-4 2.624371-5 8.128305-4 2.718158-5 1.011579-3 2.817957-5 1.258925-3 2.922631-5 1.584893-3 3.035431-5 1.972423-3 3.144256-5 2.426610-3 3.247542-5 3.019952-3 3.355537-5 3.170600-3 3.378456-5 3.170600-3 4.825759-5 3.332600-3 4.836914-5 3.332600-3 5.070641-5 3.580000-3 5.078939-5 3.580000-3 5.375399-5 4.800000-3 5.479723-5 6.683439-3 5.601077-5 9.660509-3 5.745736-5 1.380384-2 5.890235-5 1.927525-2 6.026869-5 2.432100-2 6.118696-5 2.432100-2 6.287341-5 4.954502-2 6.325276-5 1.364583-1 6.354242-5 7.079458-1 6.370141-5 1.000000+5 6.371157-5 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.670000-6 0.0 5.509000-5 0.0 5.509000-5 3.56149-11 5.560000-5 3.62953-11 5.623413-5 3.69350-11 5.690000-5 3.75143-11 5.760000-5 3.79810-11 5.850000-5 3.84979-11 5.968000-5 3.90612-11 5.968000-5 6.34889-11 6.015000-5 6.43971-11 6.165950-5 6.66840-11 6.456542-5 7.02168-11 6.580000-5 7.15808-11 6.760830-5 7.37719-11 6.950000-5 7.62559-11 7.161434-5 7.93796-11 7.350000-5 8.23973-11 7.500000-5 8.50476-11 7.673615-5 8.84270-11 7.852356-5 9.21820-11 8.035261-5 9.64540-11 8.230000-5 1.01406-10 8.450000-5 1.07528-10 8.650000-5 1.13555-10 8.912509-5 1.22064-10 9.101000-5 1.28621-10 9.101000-5 1.40879-10 9.580000-5 1.61439-10 9.800000-5 1.70136-10 1.005000-4 1.78957-10 1.023293-4 1.84476-10 1.035142-4 1.87608-10 1.050000-4 1.90884-10 1.071519-4 1.94611-10 1.095000-4 1.97122-10 1.115000-4 1.98110-10 1.135011-4 1.98174-10 1.161500-4 1.97006-10 1.190000-4 1.94554-10 1.230269-4 1.89632-10 1.380384-4 1.67542-10 1.450000-4 1.58436-10 1.513561-4 1.51446-10 1.566751-4 1.46349-10 1.635000-4 1.40902-10 1.705000-4 1.36256-10 1.760000-4 1.33200-10 1.820000-4 1.30361-10 1.883649-4 1.27838-10 1.980000-4 1.24750-10 2.089296-4 1.21998-10 2.180000-4 1.20268-10 2.290868-4 1.18640-10 2.400000-4 1.17407-10 2.511886-4 1.16477-10 2.722701-4 1.15411-10 2.917427-4 1.15133-10 3.126079-4 1.15357-10 3.235937-4 1.15490-10 3.425100-4 1.16095-10 3.425100-4 1.24062-10 3.482400-4 1.25492-10 3.482400-4 6.367550-9 3.515000-4 6.710348-9 3.525000-4 6.804792-9 3.541000-4 6.985295-9 3.552000-4 7.128225-9 3.565000-4 7.339383-9 3.575000-4 7.531678-9 3.580000-4 7.637909-9 3.590000-4 7.886318-9 3.598000-4 8.114830-9 3.608000-4 8.442815-9 3.616000-4 8.736747-9 3.624000-4 9.066034-9 3.632000-4 9.425496-9 3.639000-4 9.768927-9 3.650000-4 1.036131-8 3.661000-4 1.101256-8 3.673000-4 1.178048-8 3.690000-4 1.297920-8 3.710000-4 1.449606-8 3.720000-4 1.529358-8 3.780000-4 2.029469-8 3.801894-4 2.203688-8 3.815000-4 2.302210-8 3.839000-4 2.469002-8 3.860000-4 2.596606-8 3.885000-4 2.725546-8 3.900000-4 2.792396-8 3.915000-4 2.852581-8 3.930000-4 2.905151-8 3.960000-4 2.990269-8 3.985000-4 3.046728-8 4.000000-4 3.078391-8 4.027170-4 3.122474-8 4.080000-4 3.188862-8 4.150000-4 3.250911-8 4.190000-4 3.276773-8 4.240000-4 3.301194-8 4.350000-4 3.330517-8 4.415704-4 3.341145-8 5.268000-4 3.357108-8 5.268000-4 4.019159-8 5.280000-4 4.064485-8 5.304000-4 4.120039-8 5.350000-4 4.180270-8 5.432503-4 4.250709-8 5.552500-4 4.317259-8 5.552500-4 4.759818-8 5.575000-4 4.826095-8 5.613000-4 4.891013-8 5.680000-4 4.963006-8 5.800000-4 5.047786-8 5.956621-4 5.112371-8 6.549400-4 5.280390-8 6.549400-4 5.798031-8 7.673615-4 6.211518-8 9.225714-4 6.705740-8 1.030000-3 7.009047-8 1.188502-3 7.418262-8 1.330000-3 7.736922-8 1.479108-3 8.042001-8 1.650000-3 8.354360-8 1.927525-3 8.797506-8 2.238721-3 9.219749-8 2.600160-3 9.634673-8 3.019952-3 1.003860-7 3.170600-3 1.016215-7 3.170600-3 1.029722-4 3.332600-3 1.032576-4 3.332600-3 1.224335-4 3.580000-3 1.225185-4 3.580000-3 1.263714-4 4.365158-3 1.268564-4 7.161434-3 1.272673-4 2.432100-2 1.266798-4 2.432100-2 1.504483-2 2.540973-2 1.509054-2 3.400000-2 1.526212-2 4.954502-2 1.539753-2 8.000000-2 1.549614-2 1.603245-1 1.555757-2 1.202264+0 1.560465-2 1.000000+5 1.560468-2 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.670000-6 0.0 8.140000-6 4.700000-7 8.140000-6 2.949703-7 1.200000-5 4.153089-6 5.509000-5 4.722435-5 5.509000-5 4.598332-5 5.968000-5 5.045235-5 5.968000-5 4.985595-5 7.673615-5 6.616957-5 8.912509-5 7.750804-5 9.101000-5 7.918589-5 9.101000-5 7.827095-5 1.020000-4 8.735193-5 1.095000-4 9.415344-5 1.190000-4 1.036084-4 1.621810-4 1.487492-4 2.213095-4 2.088133-4 3.425100-4 3.302544-4 3.425100-4 3.291674-4 3.482400-4 3.347247-4 3.482400-4 3.340603-4 3.608000-4 3.450919-4 3.780000-4 3.576957-4 3.985000-4 3.767231-4 5.268000-4 5.046987-4 5.268000-4 5.033716-4 6.000000-4 5.750031-4 6.549400-4 6.297027-4 6.549400-4 6.286383-4 3.170600-3 3.136714-3 3.170600-3 3.019370-3 3.332600-3 3.180973-3 3.332600-3 3.159460-3 3.580000-3 3.406692-3 3.580000-3 3.399875-3 2.432100-2 2.413313-2 2.432100-2 9.213294-3 2.449000-2 9.361391-3 2.818383-2 1.296506-2 3.758374-2 2.221523-2 7.328245-2 5.773394-2 1.000000+5 9.999998+4 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 2.432100-2 8.674789+3 2.447000-2 8.599462+3 2.500000-2 8.173200+3 2.540973-2 7.814877+3 2.625000-2 7.215040+3 2.786121-2 6.166095+3 3.090295-2 4.725620+3 3.400000-2 3.673060+3 3.758374-2 2.809668+3 4.623810-2 1.600177+3 5.800000-2 8.532260+2 7.244360-2 4.552370+2 9.015711-2 2.433065+2 1.188502-1 1.093555+2 1.949845-1 2.593107+1 2.400000-1 1.426828+1 2.818383-1 9.050358+0 3.235937-1 6.160832+0 3.672823-1 4.359749+0 4.120975-1 3.204617+0 4.623810-1 2.372282+0 5.128614-1 1.822054+0 5.688529-1 1.409389+0 6.309573-1 1.098245+0 6.839117-1 9.097945-1 7.585776-1 7.197333-1 8.413951-1 5.735878-1 9.440609-1 4.489551-1 1.023293+0 3.808037-1 1.161449+0 2.959684-1 1.288250+0 2.430870-1 1.462177+0 1.923883-1 1.621810+0 1.599487-1 1.819701+0 1.311837-1 2.065380+0 1.062609-1 2.317395+0 8.834864-2 2.630268+0 7.264541-2 3.019952+0 5.913469-2 3.507519+0 4.766832-2 4.073803+0 3.871281-2 4.786301+0 3.116995-2 5.688529+0 2.490000-2 6.839116+0 1.974626-2 8.609938+0 1.492431-2 1.059254+1 1.168679-2 1.273503+1 9.460676-3 1.621810+1 7.207351-3 2.137962+1 5.321558-3 2.985383+1 3.718248-3 4.466836+1 2.433165-3 7.161434+1 1.493442-3 1.244515+2 8.493337-4 2.483133+2 4.224040-4 9.885531+2 1.054614-4 3.126079+4 3.328827-6 1.000000+5 1.040700-6 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 2.432100-2 6.318600-5 1.000000+5 6.318600-5 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.432100-2 1.781000-2 1.000000+5 1.781000-2 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.432100-2 6.447814-3 1.000000+5 9.999998+4 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 3.580000-3 3.622799+4 3.700000-3 3.461481+4 3.770000-3 3.351420+4 3.845918-3 3.258084+4 4.365158-3 2.648043+4 4.650000-3 2.368900+4 5.308844-3 1.865880+4 5.800000-3 1.594676+4 6.237348-3 1.390477+4 7.500000-3 9.747480+3 8.317638-3 7.919044+3 9.660509-3 5.829324+3 1.109175-2 4.349778+3 1.244515-2 3.391266+3 1.462177-2 2.370802+3 1.698244-2 1.685100+3 1.927525-2 1.254373+3 2.213095-2 9.032407+2 2.570396-2 6.281089+2 3.000000-2 4.282940+2 3.507519-2 2.885489+2 4.073803-2 1.963349+2 4.800000-2 1.278008+2 5.688529-2 8.131233+1 6.839116-2 4.939362+1 8.222426-2 2.977964+1 1.011580-1 1.672736+1 1.318257-1 7.933816+0 2.113489-1 2.083299+0 2.660725-1 1.093245+0 3.126079-1 7.008047-1 3.589219-1 4.820629-1 4.073803-1 3.445148-1 4.570882-1 2.556121-1 5.128614-1 1.910129-1 5.688529-1 1.479714-1 6.309573-1 1.154443-1 6.998420-1 9.071444-2 7.762471-1 7.181139-2 8.511380-1 5.870149-2 9.332543-1 4.831130-2 1.023293+0 4.005111-2 1.161449+0 3.114433-2 1.288250+0 2.557477-2 1.462177+0 2.023218-2 1.621810+0 1.681774-2 1.819701+0 1.379295-2 2.065380+0 1.117319-2 2.344229+0 9.123239-3 2.660725+0 7.506160-3 3.054921+0 6.113132-3 3.548134+0 4.930756-3 4.168694+0 3.944148-3 4.897788+0 3.178892-3 5.821032+0 2.541941-3 7.000000+0 2.017200-3 8.912509+0 1.505440-3 1.109175+1 1.164818-3 1.396368+1 8.959126-4 1.840772+1 6.587497-4 2.540973+1 4.643240-4 3.672823+1 3.140160-4 5.623413+1 2.014102-4 1.059254+2 1.051773-4 2.113489+2 5.224765-5 4.216965+2 2.606629-5 3.349654+3 3.268509-6 1.000000+5 1.094200-7 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 3.580000-3 7.389700-5 1.000000+5 7.389700-5 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.580000-3 1.525500-4 1.000000+5 1.525500-4 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.580000-3 3.353553-3 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 3.332600-3 8.094500+4 3.450000-3 7.432700+4 3.480000-3 7.292000+4 3.550000-3 6.917300+4 3.630781-3 6.557300+4 3.920000-3 5.392800+4 4.315191-3 4.172100+4 5.248075-3 2.450100+4 5.688529-3 1.961300+4 6.683439-3 1.245000+4 8.035261-3 7.288900+3 8.912509-3 5.366400+3 1.059254-2 3.194800+3 1.273503-2 1.816400+3 1.479108-2 1.139100+3 1.698244-2 7.362500+2 2.000000-2 4.362100+2 2.400000-2 2.414100+2 2.884032-2 1.319800+2 3.507519-2 6.884500+1 4.415704-2 3.175700+1 5.888437-2 1.196137+1 1.096478-1 1.437002+0 1.364583-1 6.863103-1 1.659587-1 3.569141-1 1.949845-1 2.098318-1 2.238721-1 1.339886-1 2.570396-1 8.618825-2 2.917427-1 5.793990-2 3.273407-1 4.065610-2 3.672823-1 2.872977-2 4.073803-1 2.115787-2 4.518559-1 1.568685-2 5.011872-1 1.171662-2 5.559043-1 8.816066-3 6.165950-1 6.683994-3 6.760830-1 5.259952-3 7.413102-1 4.166787-3 8.511380-1 2.969283-3 9.120108-1 2.522481-3 9.660509-1 2.214333-3 1.023293+0 1.955598-3 1.109175+0 1.656002-3 1.188600+0 1.445309-3 1.303167+0 1.216966-3 1.462177+0 9.893831-4 1.717908+0 7.457840-4 1.949845+0 6.016920-4 2.187762+0 4.985709-4 2.483133+0 4.085819-4 2.818383+0 3.372666-4 3.273407+0 2.709428-4 3.801894+0 2.193112-4 4.466836+0 1.760143-4 5.308844+0 1.401772-4 6.382635+0 1.108449-4 7.585776+0 8.957766-5 9.440609+0 6.888736-5 1.202264+1 5.200552-5 1.600000+1 3.768600-5 2.113489+1 2.775341-5 2.951209+1 1.938696-5 4.415704+1 1.268423-5 7.079458+1 7.783758-6 1.230269+2 4.425952-6 2.454709+2 2.201033-6 9.772372+2 5.495027-7 3.090295+4 1.734466-8 1.000000+5 5.360500-9 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 3.332600-3 5.689900-5 1.000000+5 5.689900-5 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.332600-3 1.732400-4 1.000000+5 1.732400-4 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.332600-3 3.102461-3 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 3.170600-3 1.703230+5 3.275000-3 1.581155+5 3.290000-3 1.561912+5 3.320000-3 1.529480+5 3.388442-3 1.447150+5 3.470000-3 1.365684+5 3.758374-3 1.108328+5 4.120975-3 8.620375+4 5.069907-3 4.848065+4 5.432503-3 3.991222+4 6.456542-3 2.429144+4 7.852356-3 1.359807+4 8.709636-3 9.945553+3 1.023293-2 6.069314+3 1.216186-2 3.538673+3 1.428894-2 2.119781+3 1.650000-2 1.332424+3 1.905461-2 8.322520+2 2.238721-2 4.879128+2 2.630268-2 2.840744+2 3.162278-2 1.519410+2 3.890451-2 7.448162+1 4.677351-2 3.924608+1 6.165950-2 1.487308+1 1.161449-1 1.583737+0 1.428894-1 7.655945-1 1.698244-1 4.207913-1 1.972423-1 2.520754-1 2.238721-1 1.644954-1 2.528300-1 1.099397-1 2.818383-1 7.722438-2 3.126079-1 5.549867-2 3.467369-1 4.017033-2 3.801894-1 3.033975-2 4.168694-1 2.306650-2 4.570882-1 1.765889-2 4.954502-1 1.406359-2 5.432503-1 1.092059-2 5.956621-1 8.545068-3 6.531306-1 6.740894-3 7.161434-1 5.358987-3 7.852356-1 4.292651-3 8.609938-1 3.455495-3 9.225714-1 2.954247-3 9.885531-1 2.543157-3 1.083927+0 2.103693-3 1.174898+0 1.792899-3 1.288250+0 1.505805-3 1.428894+0 1.246363-3 1.659587+0 9.565631-4 1.883649+0 7.702709-4 2.113489+0 6.369186-4 2.398833+0 5.208027-4 2.722701+0 4.290483-4 3.162278+0 3.440304-4 3.672823+0 2.779843-4 4.315191+0 2.227414-4 5.128614+0 1.771179-4 6.165950+0 1.398497-4 7.328245+0 1.128591-4 9.225714+0 8.551148-5 1.174898+1 6.450083-5 1.566751+1 4.660062-5 2.065380+1 3.437558-5 2.884032+1 2.400061-5 4.265795+1 1.588549-5 6.683439+1 9.975684-6 1.188502+2 5.537257-6 2.371374+2 2.753013-6 4.731513+2 1.374085-6 3.758374+3 1.723885-7 1.000000+5 6.475400-9 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 3.170600-3 5.434500-5 1.000000+5 5.434500-5 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.170600-3 1.462400-4 1.000000+5 1.462400-4 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.170600-3 2.970015-3 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 6.549400-4 1.089282+5 7.161434-4 1.021942+5 7.500000-4 9.850040+4 7.730000-4 9.547200+4 9.015711-4 7.915933+4 9.440609-4 7.449017+4 1.150000-3 5.667080+4 1.244515-3 5.043808+4 1.479108-3 3.869855+4 1.650000-3 3.247440+4 1.927525-3 2.511526+4 2.238721-3 1.943300+4 2.570396-3 1.524036+4 3.019952-3 1.138704+4 3.589219-3 8.259088+3 4.216965-3 6.071997+3 5.011872-3 4.331780+3 5.956621-3 3.064351+3 7.000000-3 2.200300+3 8.222426-3 1.569353+3 9.549926-3 1.138310+3 1.109175-2 8.202909+2 1.303167-2 5.721886+2 1.513561-2 4.067160+2 1.757924-2 2.872189+2 2.041738-2 2.014627+2 2.398833-2 1.364791+2 2.818383-2 9.176226+1 3.311311-2 6.122874+1 3.890451-2 4.055353+1 4.623810-2 2.587463+1 5.495409-2 1.638233+1 6.606934-2 9.981500+0 8.000000-2 5.918940+0 9.885531-2 3.293398+0 1.273503-1 1.618583+0 2.041738-1 4.267060-1 2.985383-1 1.480705-1 3.467369-1 9.856633-2 3.935501-1 7.033032-2 4.415705-1 5.208518-2 4.954502-1 3.884497-2 5.495409-1 3.003453-2 6.095369-1 2.338021-2 6.760830-1 1.833335-2 7.498942-1 1.448186-2 8.413951-1 1.123743-2 9.225714-1 9.236925-3 1.011579+0 7.649195-3 1.148154+0 5.944290-3 1.250000+0 5.051410-3 1.428894+0 3.938088-3 1.566751+0 3.335521-3 1.757924+0 2.729826-3 1.995262+0 2.206913-3 2.238721+0 1.831388-3 2.540973+0 1.502748-3 2.917427+0 1.220729-3 3.388442+0 9.823148-4 3.935501+0 7.964763-4 4.623810+0 6.402745-4 5.495409+0 5.107080-4 6.606934+0 4.044263-4 8.035261+0 3.182602-4 9.772372+0 2.519624-4 1.216186+1 1.955441-4 1.603245+1 1.432367-4 2.113489+1 1.057294-4 2.951209+1 7.385570-5 4.415704+1 4.832035-5 6.998420+1 3.000457-5 1.230269+2 1.686071-5 2.454709+2 8.384845-6 9.772372+2 2.093317-6 3.090295+4 6.607328-8 1.000000+5 2.042100-8 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 6.549400-4 5.201900-5 1.000000+5 5.201900-5 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.549400-4 1.839500-7 1.000000+5 1.839500-7 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.549400-4 6.027371-4 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 5.552500-4 1.103632+5 5.559043-4 1.153557+5 5.563000-4 1.180174+5 5.568000-4 1.209578+5 5.575000-4 1.244508+5 5.585000-4 1.284468+5 5.597000-4 1.323086+5 5.613000-4 1.363344+5 5.628000-4 1.394626+5 5.650000-4 1.432930+5 5.680000-4 1.475450+5 5.710000-4 1.510378+5 5.755000-4 1.552042+5 5.800000-4 1.581972+5 5.850000-4 1.602828+5 5.900000-4 1.612388+5 5.956621-4 1.612788+5 6.050000-4 1.598858+5 7.080000-4 1.414414+5 7.585776-4 1.326238+5 8.128305-4 1.238781+5 8.709636-4 1.147561+5 9.660509-4 1.012485+5 1.030000-3 9.299620+4 1.122018-3 8.222808+4 1.230269-3 7.155593+4 1.330000-3 6.315780+4 1.462177-3 5.380652+4 1.610000-3 4.542520+4 1.757924-3 3.863446+4 1.972423-3 3.100693+4 2.162719-3 2.582123+4 2.426610-3 2.037962+4 2.691535-3 1.634527+4 3.019952-3 1.269532+4 3.388442-3 9.776812+3 3.758374-3 7.680199+3 4.265795-3 5.670904+3 4.800000-3 4.241100+3 5.370318-3 3.195348+3 6.025596-3 2.374453+3 6.839116-3 1.699626+3 7.800000-3 1.191362+3 8.912509-3 8.240651+2 1.023293-2 5.578142+2 1.174898-2 3.745364+2 1.350000-2 2.489940+2 1.566751-2 1.594213+2 1.798871-2 1.046660+2 2.089296-2 6.583863+1 2.449000-2 3.993583+1 2.884032-2 2.368624+1 3.427678-2 1.353726+1 4.120975-2 7.397536+0 5.128614-2 3.579578+0 6.760830-2 1.418047+0 1.188502-1 2.121458-1 1.479108-1 1.021996-1 1.778279-1 5.566574-2 2.065380-1 3.419562-2 2.371374-1 2.196436-2 2.691535-1 1.473555-2 3.054921-1 9.955185-3 3.427678-1 7.015391-3 3.845918-1 4.978894-3 4.265795-1 3.680987-3 4.731513-1 2.739904-3 5.248075-1 2.054527-3 5.821032-1 1.552558-3 6.382635-1 1.218401-3 7.079458-1 9.346981-4 7.762471-1 7.435052-4 8.709636-1 5.614727-4 9.332543-1 4.776740-4 9.885531-1 4.200156-4 1.059254+0 3.627478-4 1.135011+0 3.152716-4 1.216186+0 2.759313-4 1.364583+0 2.233022-4 1.621810+0 1.644089-4 1.840772+0 1.321985-4 2.065380+0 1.091422-4 2.317395+0 9.073814-5 2.630268+0 7.461153-5 3.019952+0 6.073704-5 3.507519+0 4.896035-5 4.073803+0 3.976212-5 4.786301+0 3.201427-5 5.688529+0 2.557421-5 6.839116+0 2.028135-5 8.609938+0 1.532832-5 1.059254+1 1.200428-5 1.273503+1 9.716993-6 1.621810+1 7.402593-6 2.137962+1 5.465669-6 2.985383+1 3.819057-6 4.518559+1 2.469349-6 7.244360+1 1.515886-6 1.244515+2 8.723219-7 2.483133+2 4.338449-7 9.885531+2 1.083142-7 3.126079+4 3.419036-9 1.000000+5 1.068900-9 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 5.552500-4 3.960000-5 1.000000+5 3.960000-5 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.552500-4 1.836500-7 1.000000+5 1.836500-7 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.552500-4 5.154664-4 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 5.268000-4 2.822124+5 5.274000-4 2.929772+5 5.280000-4 3.019636+5 5.287000-4 3.103924+5 5.295000-4 3.181728+5 5.304000-4 3.251792+5 5.315000-4 3.321416+5 5.330000-4 3.397280+5 5.350000-4 3.477928+5 5.378000-4 3.568712+5 5.410000-4 3.653196+5 5.450000-4 3.737672+5 5.495409-4 3.808450+5 5.541400-4 3.854722+5 5.600000-4 3.880792+5 5.663600-4 3.875785+5 5.730000-4 3.845496+5 6.850000-4 3.240752+5 7.800000-4 2.805004+5 8.413951-4 2.555285+5 9.200000-4 2.273400+5 9.850000-4 2.062860+5 1.083927-3 1.783029+5 1.188502-3 1.539702+5 1.288250-3 1.343811+5 1.428894-3 1.119013+5 1.570000-3 9.412680+4 1.737801-3 7.746629+4 1.927525-3 6.307451+4 2.150000-3 5.037200+4 2.398833-3 3.990294+4 2.691535-3 3.097828+4 3.000000-3 2.422200+4 3.349654-3 1.873115+4 3.758374-3 1.421486+4 4.216965-3 1.070826+4 4.731513-3 8.009770+3 5.308844-3 5.950563+3 6.025596-3 4.257371+3 6.839116-3 3.021494+3 7.852356-3 2.059973+3 8.912509-3 1.438445+3 1.011579-2 9.971990+2 1.150000-2 6.831520+2 1.303167-2 4.694111+2 1.500000-2 3.054508+2 1.737801-2 1.932453+2 2.000000-2 1.238460+2 2.317395-2 7.710990+1 2.691535-2 4.729654+1 3.162278-2 2.772567+1 3.758374-2 1.551956+1 4.518559-2 8.290719+0 5.559043-2 4.061445+0 7.244360-2 1.617138+0 1.244515-1 2.433551-1 1.548817-1 1.139648-1 1.819701-1 6.557711-2 2.113489-1 3.953589-2 2.398833-1 2.593750-2 2.691535-1 1.780037-2 3.000000-1 1.256944-2 3.311311-1 9.220002-3 3.672823-1 6.708756-3 4.027170-1 5.091307-3 4.415705-1 3.890522-3 4.841724-1 2.994209-3 5.308844-1 2.322060-3 5.821032-1 1.814597-3 6.382635-1 1.428521-3 6.998420-1 1.133042-3 7.673615-1 9.056609-4 8.511380-1 7.095590-4 9.120108-1 6.066722-4 9.772372-1 5.220992-4 1.059254+0 4.419768-4 1.161449+0 3.678923-4 1.273503+0 3.084115-4 1.412538+0 2.549702-4 1.640590+0 1.955540-4 1.862087+0 1.573646-4 2.089296+0 1.300409-4 2.371374+0 1.062598-4 2.691535+0 8.748297-5 3.126079+0 7.010373-5 3.630781+0 5.661210-5 4.265795+0 4.533590-5 5.011872+0 3.657711-5 6.000000+0 2.900800-5 7.161434+0 2.326163-5 9.120108+0 1.737116-5 1.148154+1 1.327236-5 1.548817+1 9.458991-6 2.041738+1 6.975382-6 2.851018+1 4.868777-6 4.216965+1 3.221798-6 6.606934+1 2.022881-6 1.174898+2 1.122647-6 2.344229+2 5.581223-7 4.677351+2 2.785507-7 3.715352+3 3.494507-8 1.000000+5 1.297600-9 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 5.268000-4 3.888500-5 1.000000+5 3.888500-5 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 5.268000-4 1.178900-7 1.000000+5 1.178900-7 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 5.268000-4 4.877971-4 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 3.482400-4 5.623120+4 3.525000-4 6.099000+4 3.540000-4 6.314560+4 3.552000-4 6.531362+4 3.563000-4 6.779880+4 3.573000-4 7.058720+4 3.580000-4 7.290280+4 3.590000-4 7.681760+4 3.598000-4 8.053800+4 3.608000-4 8.604800+4 3.616000-4 9.123200+4 3.624000-4 9.720400+4 3.632000-4 1.040544+5 3.639000-4 1.108332+5 3.650000-4 1.231492+5 3.661000-4 1.377232+5 3.673000-4 1.565168+5 3.690000-4 1.889700+5 3.730000-4 2.963156+5 3.745000-4 3.486008+5 3.760000-4 4.071600+5 3.770000-4 4.494040+5 3.780000-4 4.938920+5 3.790000-4 5.402680+5 3.801894-4 5.973595+5 3.815000-4 6.618600+5 3.828000-4 7.265160+5 3.839000-4 7.810240+5 3.850000-4 8.347800+5 3.860000-4 8.825840+5 3.870000-4 9.290720+5 3.885000-4 9.958360+5 3.900000-4 1.058480+6 3.915000-4 1.116664+6 3.930000-4 1.170260+6 3.945000-4 1.219320+6 3.960000-4 1.264004+6 3.981072-4 1.319918+6 4.000000-4 1.363792+6 4.023000-4 1.409796+6 4.050000-4 1.455088+6 4.080000-4 1.495692+6 4.115000-4 1.531756+6 4.150000-4 1.557524+6 4.190000-4 1.576412+6 4.240000-4 1.586420+6 4.280000-4 1.585608+6 4.335000-4 1.574992+6 4.390000-4 1.556444+6 4.470000-4 1.521404+6 4.954502-4 1.301113+6 5.188000-4 1.208515+6 5.432503-4 1.113803+6 5.821032-4 9.756670+5 6.237348-4 8.498823+5 6.606934-4 7.527451+5 7.000000-4 6.615880+5 7.585776-4 5.487979+5 8.128305-4 4.644340+5 8.810489-4 3.792294+5 9.700000-4 2.953792+5 1.059254-3 2.333545+5 1.174898-3 1.754250+5 1.303167-3 1.309861+5 1.462177-3 9.383812+4 1.621810-3 6.904972+4 1.819701-3 4.870486+4 2.018366-3 3.533754+4 2.264644-3 2.455521+4 2.540973-3 1.693151+4 2.851018-3 1.159348+4 3.235937-3 7.582195+3 3.715352-3 4.727213+3 4.265795-3 2.919539+3 4.841724-3 1.861578+3 5.500000-3 1.174240+3 6.309573-3 7.085971+2 7.244360-3 4.224740+2 8.317638-3 2.498239+2 9.549926-3 1.465707+2 1.109175-2 8.158487+1 1.273503-2 4.716148+1 1.479108-2 2.584726+1 1.717908-2 1.405937+1 2.018366-2 7.242925+0 2.398833-2 3.530877+0 2.951209-2 1.478469+0 3.801894-2 5.057439-1 7.244360-2 3.254502-2 9.015711-2 1.291122-2 1.109175-1 5.419136-3 1.288250-1 2.914290-3 1.479108-1 1.654885-3 1.678804-1 9.917413-4 1.905461-1 5.986069-4 2.137962-1 3.808658-4 2.398833-1 2.440624-4 2.660725-1 1.646140-4 2.951209-1 1.117924-4 3.273407-1 7.651234-5 3.630781-1 5.276297-5 4.027170-1 3.666329-5 4.415705-1 2.669728-5 4.841724-1 1.956805-5 5.308844-1 1.443858-5 5.821032-1 1.073330-5 6.237348-1 8.645340-6 6.760830-1 6.762916-6 7.328245-1 5.324333-6 8.035261-1 4.077996-6 8.609938-1 3.327555-6 9.015711-1 2.921279-6 9.440609-1 2.579513-6 9.885531-1 2.293925-6 1.035142+0 2.056672-6 1.083927+0 1.857054-6 1.135011+0 1.687436-6 1.188600+0 1.541809-6 1.273503+0 1.359022-6 1.396368+0 1.158275-6 1.513561+0 1.011095-6 1.819701+0 7.343478-7 2.018366+0 6.169969-7 2.264644+0 5.122902-7 2.570396+0 4.206525-7 2.951209+0 3.419676-7 3.427678+0 2.753409-7 4.000000+0 2.219200-7 4.677351+0 1.796589-7 5.559043+0 1.433770-7 6.683439+0 1.135872-7 8.222427+0 8.819000-8 1.000000+1 6.987800-8 1.230269+1 5.499337-8 1.603245+1 4.081188-8 2.113489+1 3.012411-8 2.951209+1 2.104331-8 4.415704+1 1.376794-8 7.079458+1 8.448570-9 1.230269+2 4.803902-9 2.454709+2 2.389002-9 9.772372+2 5.96435-10 3.090295+4 1.88260-11 1.000000+5 5.81830-12 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 3.482400-4 2.343400-5 1.000000+5 2.343400-5 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.482400-4 9.420000-8 1.000000+5 9.420000-8 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.482400-4 3.247118-4 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 3.425100-4 7.846440+4 3.468000-4 8.681880+4 3.483000-4 9.046980+4 3.495000-4 9.408180+4 3.505000-4 9.774480+4 3.515000-4 1.021638+5 3.525000-4 1.075074+5 3.534000-4 1.132596+5 3.541000-4 1.184484+5 3.549000-4 1.252500+5 3.556000-4 1.320540+5 3.565000-4 1.421142+5 3.575000-4 1.552428+5 3.585000-4 1.706994+5 3.595000-4 1.887792+5 3.608000-4 2.167098+5 3.623000-4 2.559744+5 3.672823-4 4.514447+5 3.685000-4 5.158746+5 3.700000-4 6.040440+5 3.710000-4 6.678180+5 3.720000-4 7.351320+5 3.730000-4 8.054820+5 3.740000-4 8.782920+5 3.750000-4 9.529080+5 3.760000-4 1.028646+6 3.770000-4 1.104828+6 3.780000-4 1.180788+6 3.790000-4 1.255890+6 3.801894-4 1.343329+6 3.815000-4 1.436394+6 3.828000-4 1.524516+6 3.843000-4 1.620252+6 3.855000-4 1.691934+6 3.870000-4 1.775220+6 3.885000-4 1.851522+6 3.900000-4 1.921074+6 3.920000-4 2.003910+6 3.942000-4 2.083073+6 3.960000-4 2.139444+6 3.985000-4 2.206614+6 4.015000-4 2.272218+6 4.050000-4 2.331024+6 4.080000-4 2.368314+6 4.120975-4 2.402494+6 4.165000-4 2.420940+6 4.216965-4 2.423009+6 4.280000-4 2.404092+6 4.350000-4 2.364978+6 4.466836-4 2.279847+6 5.011872-4 1.905652+6 5.230000-4 1.772598+6 5.500000-4 1.614192+6 6.000000-4 1.359294+6 6.382635-4 1.195922+6 6.760830-4 1.053763+6 7.300000-4 8.822580+5 7.943282-4 7.203124+5 8.511380-4 6.060604+5 9.332543-4 4.772645+5 1.023293-3 3.735198+5 1.122018-3 2.900732+5 1.270000-3 2.046180+5 1.400000-3 1.543506+5 1.570000-3 1.099896+5 1.737801-3 8.087775+4 1.950000-3 5.665422+4 2.187762-3 3.936958+4 2.426610-3 2.818827+4 2.754229-3 1.858534+4 3.126079-3 1.214806+4 3.507519-3 8.193879+3 3.900000-3 5.668350+3 4.415704-3 3.655745+3 5.011872-3 2.318832+3 5.688529-3 1.459087+3 6.382635-3 9.511829+2 7.161434-3 6.161573+2 8.128305-3 3.795471+2 9.225714-3 2.321935+2 1.083927-2 1.231296+2 1.244515-2 7.090727+1 1.428894-2 4.052704+1 1.659587-2 2.194340+1 1.927525-2 1.179578+1 2.264644-2 5.999774+0 2.691535-2 2.886120+0 3.311311-2 1.189550+0 4.365158-2 3.616085-1 7.328245-2 3.845240-2 9.015711-2 1.578818-2 1.083927-1 7.207589-3 1.258925-1 3.837203-3 1.445440-1 2.158919-3 1.659587-1 1.222846-3 1.862087-1 7.670836-4 2.041738-1 5.315652-4 2.264644-1 3.547064-4 2.483133-1 2.492871-4 2.722701-1 1.763933-4 3.000000-1 1.234864-4 3.273407-1 9.017413-5 3.589219-1 6.516710-5 3.890451-1 4.937366-5 4.216965-1 3.764287-5 4.518559-1 3.000792-5 4.841724-1 2.407185-5 5.069907-1 2.087007-5 5.432503-1 1.696670-5 5.888437-1 1.342192-5 6.531306-1 9.991017-6 7.161434-1 7.742129-6 7.762471-1 6.236435-6 8.511380-1 4.896531-6 9.015711-1 4.233469-6 9.549926-1 3.685387-6 1.000000+0 3.317745-6 1.071519+0 2.859864-6 1.135011+0 2.542417-6 1.202264+0 2.273037-6 1.318257+0 1.918140-6 1.462177+0 1.597164-6 1.757924+0 1.158343-6 1.972423+0 9.535067-7 2.213095+0 7.905877-7 2.511886+0 6.482838-7 2.884032+0 5.263354-7 3.349654+0 4.232988-7 3.890451+0 3.430182-7 4.570882+0 2.755960-7 5.432503+0 2.197133-7 6.531306+0 1.739081-7 7.852356+0 1.387186-7 9.549926+0 1.097383-7 1.202264+1 8.397697-8 1.600000+1 6.085400-8 2.113489+1 4.481562-8 2.951209+1 3.130601-8 4.415704+1 2.048206-8 7.079458+1 1.256856-8 1.230269+2 7.146934-9 2.454709+2 3.554172-9 9.772372+2 8.87317-10 3.090295+4 2.80075-11 1.000000+5 8.65600-12 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 3.425100-4 2.324800-5 1.000000+5 2.324800-5 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.425100-4 1.96660-10 1.000000+5 1.96660-10 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.425100-4 3.192618-4 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 9.101000-5 1.281600+5 9.250000-5 1.353636+5 9.400000-5 1.416840+5 9.550000-5 1.471044+5 9.700000-5 1.517826+5 9.900000-5 1.569484+5 1.011579-4 1.614300+5 1.035142-4 1.652793+5 1.060000-4 1.683692+5 1.090000-4 1.710574+5 1.122018-4 1.729681+5 1.170000-4 1.745264+5 1.230269-4 1.750162+5 1.303167-4 1.743103+5 1.400000-4 1.720944+5 1.513561-4 1.684333+5 1.621810-4 1.641417+5 1.737801-4 1.588217+5 1.850000-4 1.531026+5 1.980000-4 1.459868+5 2.120000-4 1.380714+5 2.290868-4 1.285555+5 2.511886-4 1.170938+5 2.818383-4 1.033046+5 3.126079-4 9.167655+4 3.427678-4 8.191624+4 3.758374-4 7.269860+4 4.216965-4 6.212984+4 4.897788-4 5.022920+4 5.500000-4 4.231800+4 6.309573-4 3.425949+4 7.500000-4 2.605080+4 8.709636-4 2.039474+4 1.047129-3 1.497575+4 1.288250-3 1.048743+4 1.584893-3 7.288483+3 1.949845-3 5.027273+3 2.371374-3 3.514237+3 2.818383-3 2.545126+3 3.349654-3 1.830882+3 4.027170-3 1.278519+3 4.841724-3 8.856767+2 5.821032-3 6.088354+2 6.918310-3 4.253621+2 8.222426-3 2.950061+2 9.660509-3 2.081655+2 1.135011-2 1.458506+2 1.333521-2 1.014622+2 1.566751-2 7.007170+1 1.840772-2 4.803706+1 2.162719-2 3.268649+1 2.540973-2 2.207508+1 3.000000-2 1.461842+1 3.548134-2 9.565894+0 4.168694-2 6.318836+0 4.954502-2 4.019924+0 5.888437-2 2.538516+0 7.079458-2 1.542185+0 8.709636-2 8.731448-1 1.059254-1 5.066823-1 2.290868-1 5.765424-2 2.754229-1 3.451523-2 3.235937-1 2.218739-2 3.715352-1 1.529963-2 4.216965-1 1.096102-2 4.731513-1 8.151372-3 5.248075-1 6.284420-3 5.821032-1 4.877206-3 6.456542-1 3.812037-3 7.161434-1 3.001374-3 7.943282-1 2.380724-3 8.709636-1 1.948685-3 9.549926-1 1.606092-3 1.071519+0 1.273334-3 1.188600+0 1.038200-3 1.364583+0 8.007903-4 1.531087+0 6.491389-4 1.717908+0 5.305532-4 1.949845+0 4.282920-4 2.187762+0 3.548825-4 2.483133+0 2.908035-4 2.818383+0 2.400232-4 3.273407+0 1.928067-4 3.801894+0 1.560589-4 4.466836+0 1.252514-4 5.308844+0 9.975376-5 6.382635+0 7.888034-5 7.585776+0 6.374472-5 9.440609+0 4.902119-5 1.202264+1 3.700767-5 1.600000+1 2.681800-5 2.113489+1 1.974970-5 2.951209+1 1.379631-5 4.415704+1 9.026396-6 6.998420+1 5.604918-6 1.216186+2 3.186555-6 2.426610+2 1.584594-6 9.660509+2 3.955777-7 3.054921+4 1.248532-8 1.000000+5 3.814600-9 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 9.101000-5 2.330700-5 1.000000+5 2.330700-5 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 9.101000-5 2.82460-10 1.000000+5 2.82460-10 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 9.101000-5 6.770272-5 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 5.968000-5 1.308190+6 6.015000-5 1.302532+6 6.070000-5 1.288012+6 6.150000-5 1.256212+6 6.237348-5 1.213188+6 6.330000-5 1.162766+6 6.456542-5 1.090899+6 6.643000-5 9.870158+5 6.850000-5 8.793420+5 7.161434-5 7.376031+5 7.585776-5 5.823785+5 8.511380-5 3.598037+5 8.912509-5 2.984435+5 9.225714-5 2.609272+5 9.500000-5 2.341080+5 9.800000-5 2.100820+5 1.000000-4 1.966542+5 1.030000-4 1.797396+5 1.059254-4 1.663555+5 1.090000-4 1.549662+5 1.120000-4 1.459920+5 1.150000-4 1.387198+5 1.180000-4 1.328202+5 1.216186-4 1.271548+5 1.244515-4 1.236017+5 1.288250-4 1.192892+5 1.333521-4 1.159581+5 1.380384-4 1.133832+5 1.450000-4 1.106696+5 1.540000-4 1.083716+5 1.678804-4 1.061325+5 1.927525-4 1.029406+5 2.089296-4 1.005326+5 2.264644-4 9.749538+4 2.454709-4 9.382876+4 2.660725-4 8.963709+4 2.900000-4 8.472180+4 3.126079-4 8.012628+4 3.388442-4 7.493490+4 3.672823-4 6.955509+4 4.027170-4 6.333686+4 4.415704-4 5.725049+4 4.897788-4 5.069463+4 5.370318-4 4.515846+4 5.888437-4 3.994833+4 6.606934-4 3.398451+4 7.328245-4 2.918072+4 8.035261-4 2.533446+4 9.015711-4 2.107395+4 1.011579-3 1.741073+4 1.135011-3 1.427736+4 1.288250-3 1.139286+4 1.445440-3 9.215448+3 1.640590-3 7.243809+3 1.840772-3 5.778854+3 2.065380-3 4.580361+3 2.317395-3 3.604795+3 2.600160-3 2.817182+3 2.917427-3 2.186236+3 3.273407-3 1.684475+3 3.672823-3 1.288877+3 4.120975-3 9.795030+2 4.677351-3 7.186841+2 5.308844-3 5.232670+2 6.025596-3 3.781320+2 6.839116-3 2.712266+2 7.762471-3 1.931249+2 8.810489-3 1.365067+2 1.000000-2 9.579200+1 1.135011-2 6.675694+1 1.303167-2 4.468112+1 1.500000-2 2.945940+1 1.737801-2 1.890388+1 2.018366-2 1.194411+1 2.344229-2 7.489937+0 2.754229-2 4.497128+0 3.273407-2 2.582992+0 3.935501-2 1.418382+0 4.786301-2 7.438300-1 6.095369-2 3.323190-1 1.230269-1 3.141460-2 1.531088-1 1.517155-2 1.819701-1 8.595830-3 2.113489-1 5.288449-3 2.426610-1 3.400237-3 2.754229-1 2.283285-3 3.126079-1 1.544392-3 3.507519-1 1.090015-3 3.935501-1 7.749367-4 4.365158-1 5.738986-4 4.841724-1 4.279336-4 5.370318-1 3.214591-4 5.956621-1 2.433204-4 6.606935-1 1.856064-4 7.244360-1 1.468886-4 8.222427-1 1.074777-4 8.912509-1 8.853244-5 9.549926-1 7.552798-5 1.011579+0 6.659360-5 1.096478+0 5.630953-5 1.174898+0 4.909675-5 1.273503+0 4.218101-5 1.412538+0 3.495301-5 1.698244+0 2.528021-5 1.927525+0 2.037982-5 2.162719+0 1.687372-5 2.454709+0 1.381722-5 2.786121+0 1.139739-5 3.235937+0 9.149964-6 3.758374+0 7.401838-6 4.415704+0 5.937379-6 5.248075+0 4.726197-6 6.309573+0 3.735415-6 7.498942+0 3.017321-6 9.332543+0 2.319427-6 1.188502+1 1.750283-6 1.584893+1 1.264991-6 2.089296+1 9.334508-7 2.917427+1 6.518874-7 4.365158+1 4.264040-7 6.918310+1 2.647238-7 1.216186+2 1.487328-7 2.426610+2 7.396109-8 9.660509+2 1.846400-8 3.054921+4 5.82775-10 1.000000+5 1.78050-10 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 5.968000-5 1.587400-5 1.000000+5 1.587400-5 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 5.968000-5 3.11300-10 1.000000+5 3.11300-10 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 5.968000-5 4.380569-5 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 5.509000-5 2.899832+6 5.560000-5 2.861940+6 5.623413-5 2.796724+6 5.690000-5 2.714060+6 5.760000-5 2.618908+6 5.850000-5 2.491580+6 6.000000-5 2.279616+6 6.165950-5 2.058095+6 6.456542-5 1.717314+6 7.500000-5 9.338200+5 7.852356-5 7.788357+5 8.150000-5 6.763640+5 8.413951-5 6.029808+5 8.650000-5 5.488120+5 8.912509-5 4.991099+5 9.150000-5 4.620880+5 9.400000-5 4.298520+5 9.660509-5 4.023308+5 9.900000-5 3.815200+5 1.020000-4 3.603720+5 1.050000-4 3.436088+5 1.083927-4 3.287631+5 1.120000-4 3.166380+5 1.161449-4 3.061454+5 1.205000-4 2.979588+5 1.260000-4 2.904320+5 1.333521-4 2.834087+5 1.450000-4 2.759004+5 1.720000-4 2.628916+5 1.883649-4 2.545278+5 2.041738-4 2.455377+5 2.213095-4 2.350463+5 2.400000-4 2.232720+5 2.600160-4 2.107587+5 2.851018-4 1.957556+5 3.100000-4 1.817472+5 3.350000-4 1.685748+5 3.630781-4 1.548969+5 3.981072-4 1.395057+5 4.365158-4 1.248192+5 4.850000-4 1.090952+5 5.308844-4 9.653985+4 5.888437-4 8.328319+4 6.700000-4 6.861800+4 7.500000-4 5.749120+4 8.413951-4 4.760450+4 9.549926-4 3.836245+4 1.071519-3 3.130458+4 1.230269-3 2.431274+4 1.396368-3 1.913374+4 1.580000-3 1.503220+4 1.778279-3 1.185799+4 2.000000-3 9.298320+3 2.264644-3 7.135611+3 2.540973-3 5.543923+3 2.851018-3 4.277490+3 3.198895-3 3.276820+3 3.589219-3 2.492605+3 4.027170-3 1.883186+3 4.570882-3 1.372794+3 5.188000-3 9.929947+2 5.888437-3 7.127699+2 6.683439-3 5.077683+2 7.585776-3 3.590162+2 8.609938-3 2.519448+2 9.772372-3 1.755122+2 1.109175-2 1.213900+2 1.258925-2 8.337643+1 1.445440-2 5.492502+1 1.659587-2 3.591164+1 1.905461-2 2.330682+1 2.187762-2 1.501114+1 2.540973-2 9.245829+0 2.985383-2 5.441871+0 3.548134-2 3.059675+0 4.265795-2 1.642052+0 5.128614-2 8.747665-1 6.456542-2 3.943946-1 1.303167-1 3.400308-2 1.603245-1 1.660509-2 1.883649-1 9.574644-3 2.162719-1 6.014086-3 2.454709-1 3.954495-3 2.754229-1 2.720065-3 3.054921-1 1.954921-3 3.388442-1 1.414706-3 3.758374-1 1.031403-3 4.120975-1 7.841070-4 4.518559-1 6.001846-4 4.954502-1 4.627191-4 5.432503-1 3.595284-4 5.956621-1 2.814945-4 6.531306-1 2.220941-4 7.161434-1 1.765814-4 7.852356-1 1.414836-4 8.609938-1 1.140238-4 9.225714-1 9.757811-5 9.885531-1 8.406322-5 1.083927+0 6.957318-5 1.174898+0 5.930523-5 1.288250+0 4.980484-5 1.428894+0 4.121023-5 1.659587+0 3.161970-5 1.883649+0 2.546212-5 2.113489+0 2.105509-5 2.398833+0 1.721695-5 2.722701+0 1.418361-5 3.162278+0 1.137292-5 3.672823+0 9.189558-6 4.315191+0 7.363303-6 5.128614+0 5.855027-6 6.165950+0 4.622991-6 7.328245+0 3.730874-6 9.225714+0 2.826845-6 1.174898+1 2.132225-6 1.566751+1 1.540517-6 2.065380+1 1.136378-6 2.884032+1 7.934031-7 4.315191+1 5.188501-7 6.839116+1 3.220579-7 1.202264+2 1.809210-7 2.398833+2 8.996110-8 4.786301+2 4.490112-8 3.801894+3 5.633353-9 1.000000+5 2.14060-10 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 5.509000-5 1.564200-5 1.000000+5 1.564200-5 1 46000 7 7 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 5.509000-5 2.23170-10 1.000000+5 2.23170-10 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 5.509000-5 3.944778-5 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 8.140000-6 4.725560+6 9.850000-6 5.745080+6 1.083927-5 6.291139+6 1.200000-5 6.876200+6 1.333521-5 7.479718+6 1.548817-5 8.348745+6 2.691535-5 1.228918+7 2.917427-5 1.292713+7 3.090295-5 1.333077+7 3.235937-5 1.358804+7 3.388442-5 1.375732+7 3.507519-5 1.380997+7 3.630781-5 1.378428+7 3.758374-5 1.366578+7 3.890451-5 1.344206+7 4.000000-5 1.318088+7 4.120975-5 1.281895+7 4.229500-5 1.243528+7 4.350000-5 1.195236+7 4.466836-5 1.143633+7 4.570882-5 1.094578+7 4.680000-5 1.040912+7 4.800000-5 9.803360+6 4.900000-5 9.293840+6 5.040000-5 8.583960+6 5.188000-5 7.849737+6 5.308844-5 7.270195+6 5.450000-5 6.622760+6 5.623413-5 5.878575+6 5.800000-5 5.183880+6 5.956621-5 4.621989+6 6.095369-5 4.166028+6 6.237348-5 3.738660+6 6.400000-5 3.295552+6 6.580000-5 2.859356+6 6.760830-5 2.473607+6 6.950000-5 2.120664+6 7.150000-5 1.797348+6 7.350000-5 1.519356+6 7.500000-5 1.337344+6 7.673615-5 1.151865+6 7.852356-5 9.859522+5 8.035261-5 8.392510+5 8.230000-5 7.055160+5 8.450000-5 5.786200+5 8.650000-5 4.824560+5 8.912509-5 3.796030+5 9.225714-5 2.853176+5 9.720000-5 1.844340+5 9.900000-5 1.589060+5 1.005000-4 1.412648+5 1.020000-4 1.265108+5 1.035142-4 1.141970+5 1.047129-4 1.060811+5 1.060000-4 9.879760+4 1.071519-4 9.341167+4 1.083927-4 8.868426+4 1.095000-4 8.531280+4 1.105000-4 8.288880+4 1.115000-4 8.100080+4 1.124000-4 7.972080+4 1.135011-4 7.864559+4 1.148154-4 7.799944+4 1.161500-4 7.797146+4 1.175000-4 7.850680+4 1.190000-4 7.967840+4 1.205000-4 8.137080+4 1.220000-4 8.350680+4 1.240000-4 8.692720+4 1.270000-4 9.300640+4 1.364583-4 1.160101+5 1.412538-4 1.282782+5 1.450000-4 1.376460+5 1.496236-4 1.486538+5 1.540000-4 1.583848+5 1.584893-4 1.675948+5 1.635000-4 1.768240+5 1.690000-4 1.856608+5 1.740000-4 1.926100+5 1.800000-4 1.995704+5 1.862087-4 2.052639+5 1.930000-4 2.100200+5 2.000000-4 2.133776+5 2.089296-4 2.157733+5 2.180000-4 2.164524+5 2.290868-4 2.153074+5 2.398833-4 2.126808+5 2.511886-4 2.086701+5 2.630268-4 2.035653+5 2.754229-4 1.974884+5 2.917427-4 1.887255+5 3.054921-4 1.809227+5 3.235937-4 1.703945+5 3.427678-4 1.593266+5 3.630781-4 1.479840+5 3.845918-4 1.366027+5 4.120975-4 1.232227+5 4.415704-4 1.103708+5 4.731513-4 9.817181+4 5.069907-4 8.676213+4 5.495409-4 7.456005+4 5.956621-4 6.359367+4 6.456542-4 5.385259+4 7.000000-4 4.528266+4 7.673615-4 3.690540+4 8.413951-4 2.983497+4 9.225714-4 2.394962+4 1.023293-3 1.855943+4 1.135011-3 1.427431+4 1.258925-3 1.089568+4 1.396368-3 8.253686+3 1.548817-3 6.204617+3 1.717908-3 4.630026+3 1.905461-3 3.430194+3 2.137962-3 2.438715+3 2.371374-3 1.780869+3 2.630268-3 1.290809+3 2.884032-3 9.627069+2 3.198895-3 6.871666+2 3.605000-3 4.620611+2 4.073803-3 3.059343+2 4.570882-3 2.060317+2 5.128614-3 1.377880+2 5.754399-3 9.150180+1 6.456542-3 6.035169+1 7.328245-3 3.789029+1 8.317638-3 2.360084+1 9.440609-3 1.458812+1 1.083927-2 8.562314+0 1.244515-2 4.986262+0 1.428894-2 2.882361+0 1.640590-2 1.654333+0 1.905461-2 9.000191-1 2.238721-2 4.638365-1 2.660725-2 2.262982-1 3.273407-2 9.485937-2 4.315191-2 2.948917-2 7.328245-2 3.117427-3 9.225714-2 1.181546-3 1.122019-1 5.218113-4 1.318257-1 2.681477-4 1.531088-1 1.456015-4 1.737801-1 8.742329-5 1.972423-1 5.287035-5 2.213095-1 3.371558-5 2.483133-1 2.165909-5 2.754229-1 1.464060-5 3.054921-1 9.962349-6 3.388442-1 6.826090-6 3.758374-1 4.712637-6 4.168694-1 3.279228-6 4.570882-1 2.392523-6 5.011872-1 1.758823-6 5.495409-1 1.304284-6 6.025596-1 9.744796-7 6.606935-1 7.324447-7 7.244360-1 5.546141-7 8.609938-1 3.340764-7 9.015711-1 2.933979-7 9.440609-1 2.591991-7 9.885531-1 2.306252-7 1.035142+0 2.068760-7 1.083927+0 1.868607-7 1.135011+0 1.698233-7 1.202264+0 1.518676-7 1.288250+0 1.339707-7 1.412538+0 1.142476-7 1.513561+0 1.016689-7 1.819701+0 7.383692-8 2.018366+0 6.203959-8 2.264644+0 5.151162-8 2.570396+0 4.229734-8 2.951209+0 3.438527-8 3.427678+0 2.768573-8 4.000000+0 2.231400-8 4.677351+0 1.806419-8 5.559043+0 1.441674-8 6.683439+0 1.142131-8 8.128305+0 8.991875-9 9.885531+0 7.121829-9 1.230269+1 5.529635-9 1.603245+1 4.103738-9 2.113489+1 3.029043-9 2.951209+1 2.115941-9 4.466836+1 1.367798-9 7.161434+1 8.39526-10 1.230269+2 4.83041-10 2.454709+2 2.40221-10 9.772372+2 5.99720-11 3.090295+4 1.89298-12 1.000000+5 5.85040-13 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 8.140000-6 8.140000-6 1.000000+5 8.140000-6 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 8.140000-6 0.0 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 7.670000-6 7.450802+6 8.511380-6 8.371665+6 9.225714-6 9.101364+6 1.000000-5 9.824700+6 1.083927-5 1.053033+7 1.188502-5 1.131452+7 1.318257-5 1.217455+7 1.513561-5 1.330793+7 2.691535-5 1.893404+7 2.917427-5 1.975817+7 3.090295-5 2.024619+7 3.235937-5 2.052911+7 3.350000-5 2.064870+7 3.467369-5 2.066787+7 3.589219-5 2.057156+7 3.715352-5 2.034306+7 3.845918-5 1.996470+7 3.950000-5 1.956108+7 4.073803-5 1.897170+7 4.180000-5 1.838262+7 4.300000-5 1.763886+7 4.415704-5 1.685713+7 4.540000-5 1.596306+7 4.650000-5 1.513950+7 4.786301-5 1.409800+7 4.900000-5 1.322742+7 5.011872-5 1.238110+7 5.150000-5 1.136244+7 5.300000-5 1.030164+7 5.450000-5 9.299040+6 5.623413-5 8.223180+6 5.800000-5 7.225200+6 5.956621-5 6.422392+6 6.095369-5 5.773433+6 6.237348-5 5.167126+6 6.400000-5 4.540554+6 6.580000-5 3.925884+6 6.760830-5 3.384653+6 6.950000-5 2.891070+6 7.150000-5 2.440422+6 7.350000-5 2.054400+6 7.500000-5 1.802574+6 7.673615-5 1.546821+6 7.852356-5 1.318858+6 8.035261-5 1.118026+6 8.230000-5 9.357240+5 8.413951-5 7.896284+5 8.650000-5 6.340980+5 8.912509-5 4.964879+5 9.580000-5 2.708100+5 9.800000-5 2.252274+5 9.950000-5 2.002422+5 1.010000-4 1.795146+5 1.023293-4 1.642874+5 1.035142-4 1.529286+5 1.047129-4 1.433433+5 1.059254-4 1.354006+5 1.070000-4 1.296894+5 1.080000-4 1.253904+5 1.090000-4 1.219818+5 1.100000-4 1.193862+5 1.110000-4 1.175292+5 1.122018-4 1.161800+5 1.131000-4 1.157406+5 1.143000-4 1.158312+5 1.155000-4 1.166160+5 1.170000-4 1.184460+5 1.185000-4 1.210872+5 1.205000-4 1.256592+5 1.220000-4 1.297398+5 1.250000-4 1.391928+5 1.348963-4 1.765144+5 1.396368-4 1.951447+5 1.440000-4 2.117322+5 1.480000-4 2.261178+5 1.520000-4 2.396142+5 1.566751-4 2.541231+5 1.611900-4 2.666690+5 1.659587-4 2.784000+5 1.705000-4 2.882208+5 1.760000-4 2.982780+5 1.820000-4 3.070872+5 1.883649-4 3.143662+5 1.950000-4 3.197118+5 2.020000-4 3.232728+5 2.089296-4 3.250956+5 2.162719-4 3.252330+5 2.264644-4 3.233237+5 2.371374-4 3.191182+5 2.483133-4 3.129940+5 2.600160-4 3.051430+5 2.722701-4 2.957817+5 2.884032-4 2.823061+5 3.054921-4 2.673006+5 3.235937-4 2.512245+5 3.427678-4 2.344593+5 3.630781-4 2.173834+5 3.845918-4 2.003313+5 4.120975-4 1.803577+5 4.415704-4 1.612408+5 4.731513-4 1.431458+5 5.069907-4 1.262550+5 5.495409-4 1.082234+5 5.956621-4 9.208649+4 6.456542-4 7.787555+4 7.000000-4 6.539940+4 7.673615-4 5.319039+4 8.413951-4 4.291669+4 9.225714-4 3.439139+4 1.023293-3 2.660079+4 1.135011-3 2.041553+4 1.258925-3 1.554828+4 1.396368-3 1.175185+4 1.548817-3 8.816473+3 1.717908-3 6.565944+3 1.905461-3 4.853886+3 2.113489-3 3.561405+3 2.344229-3 2.593777+3 2.600160-3 1.875685+3 2.884032-3 1.347059+3 3.162278-3 9.974923+2 3.548134-3 6.772866+2 4.073803-3 4.234219+2 4.623810-3 2.731514+2 5.188000-3 1.820338+2 5.821032-3 1.204288+2 6.531306-3 7.912337+1 7.328245-3 5.163279+1 8.222426-3 3.346861+1 9.332543-3 2.061751+1 1.059254-2 1.260819+1 1.202264-2 7.657294+0 1.380384-2 4.411169+0 1.584893-2 2.522082+0 1.840772-2 1.365414+0 2.162719-2 6.994675-1 2.540973-2 3.556572-1 3.054921-2 1.628599-1 3.845918-2 6.082091-2 7.498942-2 3.422195-3 9.225714-2 1.408995-3 1.122019-1 6.139372-4 1.303167-1 3.276592-4 1.479108-1 1.939064-4 1.678804-1 1.155615-4 1.883649-1 7.273188-5 2.089296-1 4.828526-5 2.317395-1 3.229580-5 2.540973-1 2.274159-5 2.786121-1 1.612410-5 3.054921-1 1.151597-5 3.349654-1 8.288254-6 3.630781-1 6.257053-6 3.935501-1 4.754532-6 4.265795-1 3.637310-6 4.623810-1 2.802569-6 5.011872-1 2.175708-6 5.432503-1 1.703094-6 5.888437-1 1.343203-6 6.382635-1 1.066726-6 6.918310-1 8.531797-7 7.498942-1 6.873839-7 8.413951-1 5.100569-7 8.912509-1 4.417219-7 9.440609-1 3.849119-7 1.000000+0 3.378400-7 1.071519+0 2.915244-7 1.148154+0 2.534310-7 1.216186+0 2.269410-7 1.348963+0 1.877459-7 1.640590+0 1.328929-7 1.862087+0 1.069046-7 2.089296+0 8.832024-8 2.371374+0 7.216604-8 2.691535+0 5.941393-8 3.126079+0 4.761179-8 3.630781+0 3.844886-8 4.265795+0 3.079099-8 5.011872+0 2.484263-8 6.000000+0 1.970100-8 7.161434+0 1.579857-8 9.120108+0 1.179765-8 1.148154+1 9.014377-9 1.531087+1 6.507352-9 2.018366+1 4.797266-9 2.818383+1 3.347555-9 4.168694+1 2.214691-9 6.456542+1 1.406869-9 1.161449+2 7.71440-10 2.317395+2 3.83489-10 4.623810+2 1.91391-10 3.672823+3 2.40087-11 1.000000+5 8.81300-13 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 7.670000-6 7.670000-6 1.000000+5 7.670000-6 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 7.670000-6 0.0 1.000000+5 1.000000+5 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.260100-7 1.028750+0 1.260100-6 1.029500+0 1.724480-6 1.030100+0 2.168740-6 1.031000+0 2.967580-6 1.032000+0 4.060390-6 1.033200+0 5.687920-6 1.034000+0 6.982450-6 1.035300+0 9.477690-6 1.036640+0 1.260100-5 1.038200+0 1.700550-5 1.039700+0 2.209350-5 1.041500+0 2.939510-5 1.043800+0 4.080140-5 1.046400+0 5.676740-5 1.048300+0 7.067700-5 1.051200+0 9.587190-5 1.054080+0 1.260100-4 1.057700+0 1.717600-4 1.061100+0 2.234180-4 1.065100+0 2.957820-4 1.070400+0 4.126480-4 1.076200+0 5.702810-4 1.080600+0 7.121880-4 1.087100+0 9.595470-4 1.093710+0 1.260100-3 1.102600+0 1.747040-3 1.110700+0 2.278350-3 1.120600+0 3.047530-3 1.133300+0 4.237010-3 1.147500+0 5.849680-3 1.158200+0 7.269640-3 1.174100+0 9.716930-3 1.190110+0 1.260100-2 1.205100+0 1.569050-2 1.227500+0 2.100590-2 1.250000+0 2.713000-2 1.265600+0 3.178250-2 1.294900+0 4.131630-2 1.331800+0 5.457540-2 1.362600+0 6.651350-2 1.397000+0 8.062260-2 1.455800+0 1.063940-1 1.500000+0 1.272000-1 1.589800+0 1.738230-1 1.665000+0 2.172150-1 1.784700+0 2.933040-1 1.892300+0 3.670550-1 2.000000+0 4.433000-1 2.044000+0 4.745000-1 2.163500+0 5.598940-1 2.372600+0 7.106500-1 2.647100+0 9.072760-1 3.000000+0 1.153000+0 3.437500+0 1.442200+0 4.000000+0 1.789000+0 4.750000+0 2.210520+0 5.000000+0 2.341000+0 6.000000+0 2.818000+0 7.000000+0 3.245000+0 8.000000+0 3.629000+0 9.000000+0 3.977000+0 1.000000+1 4.296000+0 1.100000+1 4.590000+0 1.200000+1 4.860000+0 1.300000+1 5.111000+0 1.400000+1 5.341000+0 1.500000+1 5.554000+0 1.600000+1 5.753000+0 1.800000+1 6.117000+0 2.000000+1 6.443000+0 2.200000+1 6.739000+0 2.400000+1 7.008000+0 2.600000+1 7.253000+0 2.800000+1 7.477000+0 3.000000+1 7.684000+0 4.000000+1 8.525000+0 5.000000+1 9.148000+0 6.000000+1 9.634000+0 8.000000+1 1.035000+1 1.000000+2 1.086000+1 1.500000+2 1.167000+1 2.000000+2 1.215000+1 3.000000+2 1.272000+1 4.000000+2 1.304000+1 5.000000+2 1.325000+1 6.000000+2 1.341000+1 8.000000+2 1.361000+1 1.000000+3 1.374000+1 1.500000+3 1.393000+1 2.000000+3 1.404000+1 3.000000+3 1.415000+1 4.000000+3 1.421000+1 5.000000+3 1.425000+1 6.000000+3 1.427000+1 8.000000+3 1.431000+1 1.000000+4 1.433000+1 1.500000+4 1.436000+1 2.000000+4 1.437000+1 3.000000+4 1.439000+1 4.000000+4 1.440000+1 5.000000+4 1.441000+1 6.000000+4 1.441000+1 8.000000+4 1.441000+1 1.000000+5 1.442000+1 1 46000 7 8 1.064000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 4.614240-7 2.099900+0 1.080720-6 2.106600+0 1.503370-6 2.114000+0 2.080100-6 2.119500+0 2.589710-6 2.127900+0 3.512140-6 2.136250+0 4.614240-6 2.147000+0 6.326450-6 2.156900+0 8.217290-6 2.169000+0 1.096650-5 2.184500+0 1.524380-5 2.201800+0 2.109020-5 2.214800+0 2.627680-5 2.234200+0 3.534690-5 2.253680+0 4.614240-5 2.281500+0 6.463060-5 2.307000+0 8.489210-5 2.338200+0 1.141450-4 2.377400+0 1.580770-4 2.410200+0 2.010480-4 2.446800+0 2.557440-4 2.485900+0 3.219950-4 2.532900+0 4.120850-4 2.556430+0 4.614240-4 2.611900+0 5.883660-4 2.660400+0 7.113010-4 2.745300+0 9.520260-4 2.809000+0 1.152950-3 2.904500+0 1.485260-3 3.000000+0 1.854000-3 3.125000+0 2.390710-3 3.234400+0 2.909010-3 3.425800+0 3.917510-3 3.569300+0 4.750470-3 3.784700+0 6.106890-3 4.000000+0 7.565000-3 4.250000+0 9.347450-3 4.625000+0 1.214840-2 5.000000+0 1.506000-2 5.500000+0 1.905720-2 6.000000+0 2.311000-2 6.750000+0 2.914510-2 7.000000+0 3.113000-2 8.000000+0 3.889000-2 9.000000+0 4.632000-2 1.000000+1 5.337000-2 1.100000+1 6.005000-2 1.200000+1 6.634000-2 1.300000+1 7.228000-2 1.400000+1 7.792000-2 1.500000+1 8.326000-2 1.600000+1 8.834000-2 1.800000+1 9.774000-2 2.000000+1 1.063000-1 2.200000+1 1.141000-1 2.400000+1 1.213000-1 2.600000+1 1.280000-1 2.800000+1 1.341000-1 3.000000+1 1.399000-1 4.000000+1 1.636000-1 5.000000+1 1.816000-1 6.000000+1 1.959000-1 8.000000+1 2.175000-1 1.000000+2 2.332000-1 1.500000+2 2.592000-1 2.000000+2 2.754000-1 3.000000+2 2.953000-1 4.000000+2 3.072000-1 5.000000+2 3.153000-1 6.000000+2 3.213000-1 8.000000+2 3.294000-1 1.000000+3 3.348000-1 1.500000+3 3.428000-1 2.000000+3 3.473000-1 3.000000+3 3.522000-1 4.000000+3 3.551000-1 5.000000+3 3.569000-1 6.000000+3 3.581000-1 8.000000+3 3.597000-1 1.000000+4 3.608000-1 1.500000+4 3.622000-1 2.000000+4 3.630000-1 3.000000+4 3.638000-1 4.000000+4 3.643000-1 5.000000+4 3.646000-1 6.000000+4 3.647000-1 8.000000+4 3.649000-1 1.000000+5 3.651000-1 1 46000 7 8 1.064000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 46000 7 9 1.064000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 4.600000+1 1.000000+5 4.600000+1 5.000000+5 4.599200+1 7.500000+5 4.597850+1 9.375000+5 4.597110+1 1.000000+6 4.596900+1 1.500000+6 4.592900+1 2.000000+6 4.587500+1 2.500000+6 4.580500+1 3.000000+6 4.572000+1 3.750000+6 4.556200+1 4.000000+6 4.550700+1 4.750000+6 4.530670+1 5.000000+6 4.523800+1 5.875000+6 4.495940+1 6.500000+6 4.473480+1 6.625000+6 4.468600+1 7.000000+6 4.454500+1 8.000000+6 4.412730+1 8.500000+6 4.390570+1 9.000000+6 4.367500+1 1.000000+7 4.318500+1 1.109400+7 4.261170+1 1.187500+7 4.218670+1 1.203100+7 4.209960+1 1.250000+7 4.183800+1 1.375000+7 4.111080+1 1.437500+7 4.074070+1 1.500000+7 4.036600+1 1.625000+7 3.960000+1 1.687500+7 3.921530+1 1.750000+7 3.882900+1 1.937500+7 3.766010+1 2.000000+7 3.727400+1 2.250000+7 3.573460+1 2.500000+7 3.423900+1 2.875000+7 3.211430+1 3.000000+7 3.144400+1 3.500000+7 2.896820+1 3.750000+7 2.786050+1 4.000000+7 2.683600+1 4.750000+7 2.421160+1 5.000000+7 2.347200+1 5.500000+7 2.216370+1 6.000000+7 2.103600+1 6.750000+7 1.959860+1 7.000000+7 1.916900+1 7.750000+7 1.796750+1 8.000000+7 1.758900+1 8.750000+7 1.648930+1 9.000000+7 1.613400+1 9.750000+7 1.508730+1 1.000000+8 1.474700+1 1.062500+8 1.391080+1 1.144500+8 1.285920+1 1.187500+8 1.233070+1 1.214800+8 1.200290+1 1.250000+8 1.159100+1 1.359400+8 1.039200+1 1.500000+8 9.084300+0 1.671900+8 7.844670+0 1.750000+8 7.391950+0 1.789100+8 7.187400+0 1.929700+8 6.557620+0 2.000000+8 6.297400+0 2.125000+8 5.908470+0 2.289100+8 5.503600+0 2.375000+8 5.327300+0 2.500000+8 5.102900+0 2.750000+8 4.721400+0 2.875000+8 4.534310+0 3.000000+8 4.337300+0 3.500000+8 3.571600+0 3.812500+8 3.239700+0 3.937500+8 3.108690+0 4.000000+8 3.039400+0 4.125000+8 2.892200+0 4.234400+8 2.759530+0 4.750000+8 2.190210+0 5.000000+8 1.975100+0 5.125000+8 1.887510+0 5.343800+8 1.757770+0 5.630900+8 1.620210+0 6.000000+8 1.478800+0 6.343800+8 1.370810+0 6.578100+8 1.309660+0 6.859400+8 1.249490+0 7.000000+8 1.224800+0 7.250000+8 1.188770+0 8.000000+8 1.103800+0 8.250000+8 1.074210+0 8.687500+8 1.019720+0 9.261700+8 9.476660-1 1.000000+9 8.618000-1 1.117200+9 7.471130-1 1.206900+9 6.719910-1 1.280200+9 6.162270-1 1.358700+9 5.608850-1 1.375000+9 5.498970-1 1.429300+9 5.144190-1 1.500000+9 4.708000-1 1.562500+9 4.345070-1 1.617200+9 4.046660-1 1.712900+9 3.569300-1 1.784700+9 3.248300-1 1.892300+9 2.823400-1 2.000000+9 2.459700-1 2.139200+9 2.067590-1 2.272600+9 1.759620-1 2.443000+9 1.442340-1 2.602800+9 1.205590-1 2.825100+9 9.498400-2 3.097000+9 7.212670-2 3.334900+9 5.746270-2 3.543000+9 4.755880-2 3.907300+9 3.483020-2 4.385300+9 2.394180-2 5.000000+9 1.551800-2 5.750000+9 9.713840-3 6.875000+9 5.304150-3 8.000000+9 3.166800-3 1.00000+10 1.483800-3 1.20500+10 7.927360-4 1.41820+10 4.610330-4 1.71110+10 2.484030-4 2.01380+10 1.460170-4 2.41190+10 8.148680-5 2.88610+10 4.584240-5 3.54590+10 2.383730-5 4.35270+10 1.250110-5 5.67620+10 5.460530-6 7.22040+10 2.594170-6 9.07350+10 1.286250-6 1.00000+11 9.554000-7 1.34280+11 3.895640-7 1.77440+11 1.677120-7 2.63330+11 5.127020-8 3.75720+11 1.778260-8 6.61190+11 3.349130-9 1.48990+12 3.12159-10 4.26460+12 1.50134-11 1.00000+14 1.86700-15 5.62340+14 1.33068-17 7.49890+15 7.57353-21 1.00000+17 4.16110-24 1 46000 7 0 1.064000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 3.90000-12 1.000000+2 3.90000-10 1.000000+3 3.900000-8 1.000000+4 3.900000-6 1.000000+5 3.900000-4 5.000000+5 9.750000-3 7.500000+5 2.193750-2 9.375000+5 3.427734-2 1.000000+6 3.900000-2 1.500000+6 8.810000-2 2.000000+6 1.559000-1 2.500000+6 2.421000-1 3.000000+6 3.462000-1 3.750000+6 5.337770-1 4.000000+6 6.043000-1 4.750000+6 8.380940-1 5.000000+6 9.230000-1 5.875000+6 1.244230+0 6.500000+6 1.494330+0 6.625000+6 1.546070+0 7.000000+6 1.705000+0 8.000000+6 2.149780+0 8.500000+6 2.381770+0 9.000000+6 2.618800+0 1.000000+7 3.103000+0 1.109400+7 3.641030+0 1.187500+7 4.026730+0 1.203100+7 4.103380+0 1.250000+7 4.334200+0 1.375000+7 4.941780+0 1.437500+7 5.240900+0 1.500000+7 5.536000+0 1.625000+7 6.111850+0 1.687500+7 6.392060+0 1.750000+7 6.668500+0 1.937500+7 7.467040+0 2.000000+7 7.725000+0 2.250000+7 8.714340+0 2.500000+7 9.654500+0 2.875000+7 1.100140+1 3.000000+7 1.144100+1 3.500000+7 1.315950+1 3.750000+7 1.399870+1 4.000000+7 1.482400+1 4.750000+7 1.719570+1 5.000000+7 1.794300+1 5.500000+7 1.935510+1 6.000000+7 2.065300+1 6.750000+7 2.238150+1 7.000000+7 2.290400+1 7.750000+7 2.432370+1 8.000000+7 2.475600+1 8.750000+7 2.594730+1 9.000000+7 2.631600+1 9.750000+7 2.734840+1 1.000000+8 2.767700+1 1.062500+8 2.845700+1 1.144500+8 2.941130+1 1.187500+8 2.988800+1 1.214800+8 3.017960+1 1.250000+8 3.055000+1 1.359400+8 3.162990+1 1.500000+8 3.288800+1 1.671900+8 3.423770+1 1.750000+8 3.479210+1 1.789100+8 3.505530+1 1.929700+8 3.593980+1 2.000000+8 3.634900+1 2.125000+8 3.701690+1 2.289100+8 3.780850+1 2.375000+8 3.818970+1 2.500000+8 3.870300+1 2.750000+8 3.961010+1 2.875000+8 4.001440+1 3.000000+8 4.038900+1 3.500000+8 4.162700+1 3.812500+8 4.222440+1 3.937500+8 4.242890+1 4.000000+8 4.252900+1 4.125000+8 4.270790+1 4.234400+8 4.286070+1 4.750000+8 4.343440+1 5.000000+8 4.365800+1 5.125000+8 4.375440+1 5.343800+8 4.391070+1 5.630900+8 4.409390+1 6.000000+8 4.429300+1 6.343800+8 4.445050+1 6.578100+8 4.455010+1 6.859400+8 4.465770+1 7.000000+8 4.471000+1 7.250000+8 4.479230+1 8.000000+8 4.501900+1 8.250000+8 4.508170+1 8.687500+8 4.518710+1 9.261700+8 4.530980+1 1.000000+9 4.544500+1 1.117200+9 4.560600+1 1.206900+9 4.569400+1 1.280200+9 4.575580+1 1.358700+9 4.580770+1 1.375000+9 4.581820+1 1.429300+9 4.584410+1 1.500000+9 4.587600+1 1.562500+9 4.589370+1 1.617200+9 4.590870+1 1.712900+9 4.593360+1 1.784700+9 4.594400+1 1.892300+9 4.595790+1 2.000000+9 4.597100+1 2.139200+9 4.598000+1 2.272600+9 4.598800+1 2.443000+9 4.599540+1 2.602800+9 4.599870+1 2.825100+9 4.600300+1 3.097000+9 4.600640+1 3.334900+9 4.600540+1 3.543000+9 4.600460+1 3.907300+9 4.600330+1 4.385300+9 4.600180+1 5.000000+9 4.600000+1 5.750000+9 4.600000+1 6.875000+9 4.600000+1 8.000000+9 4.600000+1 1.00000+10 4.600000+1 1.20500+10 4.600000+1 1.41820+10 4.600000+1 1.71110+10 4.600000+1 2.01380+10 4.600000+1 2.41190+10 4.600000+1 2.88610+10 4.600000+1 3.54590+10 4.600000+1 4.35270+10 4.600000+1 5.67620+10 4.600000+1 7.22040+10 4.600000+1 9.07350+10 4.600000+1 1.00000+11 4.600000+1 1.34280+11 4.600000+1 1.77440+11 4.600000+1 2.63330+11 4.600000+1 3.75720+11 4.600000+1 6.61190+11 4.600000+1 1.48990+12 4.600000+1 4.26460+12 4.600000+1 1.00000+14 4.600000+1 5.62340+14 4.600000+1 7.49890+15 4.600000+1 1.00000+17 4.600000+1 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.674807-6 0.0 1.678929-6 3.092455-8 1.683051-6 6.119115-8 1.687174-6 1.117706-7 1.691296-6 1.884607-7 1.695418-6 2.933375-7 1.699541-6 4.214715-7 1.703663-6 5.590141-7 1.707785-6 6.844335-7 1.711908-6 7.735594-7 1.716030-6 8.070677-7 1.720152-6 7.772849-7 1.724275-6 6.910420-7 1.728397-6 5.671300-7 1.736642-6 3.004698-7 1.740764-6 1.939728-7 1.744886-6 1.155939-7 1.749009-6 6.358917-8 1.753131-6 3.229129-8 1.757253-6 0.0 2.159409-6 0.0 2.164724-6 3.910832-8 2.170039-6 7.738459-8 2.175354-6 1.413493-7 2.180669-6 2.383343-7 2.185984-6 3.709654-7 2.191300-6 5.330084-7 2.196615-6 7.069499-7 2.201930-6 8.655599-7 2.207245-6 9.782718-7 2.212560-6 1.020648-6 2.217875-6 9.829832-7 2.223190-6 8.739172-7 2.228505-6 7.172135-7 2.239136-6 3.799852-7 2.244451-6 2.453052-7 2.249766-6 1.461844-7 2.255081-6 8.041722-8 2.260396-6 4.083675-8 2.265711-6 0.0 4.400361-6 0.0 4.416607-6 4.17603-13 4.422023-6 5.55038-13 4.432853-6 1.01382-12 4.443684-6 1.70944-12 4.454515-6 2.66074-12 4.466395-6 3.94356-12 4.485634-6 1.273490+0 4.488382-6 1.453561+0 4.499376-6 2.655048+0 4.510369-6 4.476776+0 4.522600-6 7.320366+0 4.555030-6 1.639036+1 4.566346-6 1.844838+1 4.577897-6 1.907084+1 4.589103-6 1.813304+1 4.600030-6 1.593792+1 4.631297-6 7.137490+0 4.642291-6 4.607715+0 4.653284-6 2.745868+0 4.664278-6 1.510525+0 4.678020-6 5.756341-1 4.686265-6 0.0 4.884963-6 0.0 4.906004-6 7.338103-1 4.909010-6 8.375707-1 4.921034-6 1.529891+0 4.933809-6 2.669124+0 4.946213-6 4.188482+0 4.981904-6 9.670351+0 4.994451-6 1.103377+1 5.005640-6 1.163986+1 5.018327-6 1.144693+1 5.031014-6 1.046438+1 5.057035-6 7.223871+0 5.071330-6 5.392543+0 5.077342-6 4.675289+0 5.089366-6 3.477179+0 5.101390-6 2.516862+0 5.125437-6 9.873505-1 5.133791-6 7.624612-1 5.145978-6 4.922184-1 5.158164-6 2.933270-1 5.170350-6 1.613616-1 5.188629-6 4.101876-2 5.194723-6 0.0 6.036977-6 0.0 6.040110-6 1.363348-8 6.066696-6 5.668357-7 6.069844-6 6.406750-7 6.084711-6 1.163374-6 6.100593-6 2.023050-6 6.103637-6 2.239731-6 6.133683-6 2.779380-1 6.148707-6 5.076739-1 6.164669-6 8.857096-1 6.180309-6 1.394135+0 6.225202-6 3.145818+0 6.240315-6 3.528393+0 6.255462-6 3.651441+0 6.270272-6 3.494590+0 6.286101-6 3.053929+0 6.328987-6 1.364749+0 6.344010-6 8.810343-1 6.359033-6 5.250334-1 6.374057-6 2.888252-1 6.396592-6 7.342053-2 6.404103-6 0.0 6.521580-6 0.0 6.524712-6 2.753466-8 6.553684-6 3.846632-7 6.556832-6 4.412147-7 6.567021-6 6.488906-7 6.588951-6 1.106934-1 6.599349-6 1.721193-1 6.615513-6 3.209061-1 6.632687-6 5.651695-1 6.649183-6 8.957597-1 6.681383-6 1.731002+0 6.707978-6 2.429508+0 6.717500-6 2.623544+0 6.730926-6 2.819640+0 6.753265-6 2.902343+0 6.772454-6 2.806263+0 6.832937-6 2.204672+0 6.856862-6 1.911542+0 6.876911-6 1.582758+0 6.896345-6 1.208725+0 6.920072-6 7.989516-1 6.936537-6 5.503001-1 6.953003-6 3.588616-1 6.965737-6 2.501082-1 6.969468-6 2.244837-1 6.985934-6 1.751337-1 6.991954-6 1.709340-1 7.000028-6 1.696884-1 7.009038-6 1.767612-1 7.018865-6 1.922107-1 7.034318-6 2.897031-1 7.053607-6 4.470336-1 7.085754-6 7.412852-1 7.105145-6 8.818316-1 7.120443-6 9.577663-1 7.141067-6 9.842073-1 7.167833-6 9.200585-1 7.190371-6 8.662612-1 7.201890-6 8.513606-1 7.218938-6 8.916095-1 7.238484-6 1.025079+0 7.277088-6 1.455708+0 7.300347-6 1.719358+0 7.327116-6 1.897613+0 7.349216-6 1.884051+0 7.368524-6 1.775626+0 7.435283-6 1.141723+0 7.454218-6 1.018656+0 7.473332-6 9.503369-1 7.495149-6 9.423545-1 7.524876-6 9.935281-1 7.579797-6 1.253407+0 7.614727-6 1.369685+0 7.641022-6 1.369245+0 7.705492-6 1.252355+0 7.733386-6 1.252666+0 7.823187-6 1.369759+0 8.205784-6 1.519603+0 8.643423-6 1.672215+0 1.124005-5 2.788753+0 1.524793-5 4.716588+0 1.938289-5 6.997818+0 2.513915-5 1.073573+1 3.321484-5 1.628475+1 3.715352-5 1.807834+1 4.106420-5 1.857490+1 4.520127-5 1.762605+1 4.799825-5 1.635271+1 4.822711-5 1.703310+1 4.846336-5 1.862703+1 4.869961-5 2.164575+1 4.894324-5 2.513864+1 4.906650-5 2.624619+1 4.918101-5 2.655588+1 4.933255-5 2.568031+1 4.954124-5 2.290594+1 4.985131-5 1.827280+1 4.999896-5 1.676385+1 5.019645-5 1.565797+1 5.039181-5 1.496274+1 5.200894-5 1.412766+1 5.237801-5 1.440615+1 5.282849-5 1.569863+1 5.363964-5 1.921509+1 5.389404-5 1.933594+1 5.423793-5 1.775828+1 5.467336-5 1.543229+1 5.511166-5 1.435883+1 5.668205-5 1.339232+1 5.791855-5 1.353305+1 6.538633-5 9.069946+0 6.954064-5 7.063356+0 7.344082-5 5.548624+0 7.718609-5 4.388125+0 8.119968-5 3.417236+0 8.495557-5 2.719182+0 8.637830-5 2.523579+0 8.800805-5 2.511947+0 8.946182-5 2.241923+0 9.339258-5 1.898835+0 9.758369-5 1.638495+0 1.026208-4 1.448087+0 1.071519-4 1.361879+0 1.124000-4 1.334754+0 1.190000-4 1.377099+0 1.292370-4 1.540919+0 1.740000-4 2.519562+0 2.020000-4 2.970883+0 2.423651-4 3.337473+0 2.917427-4 3.513029+0 3.337201-4 3.534354+0 3.387997-4 3.761914+0 3.483000-4 4.226981+0 3.551494-4 4.505925+0 3.598000-4 4.980976+0 3.635500-4 5.690551+0 3.666995-4 6.603377+0 3.702497-4 8.041279+0 3.748274-4 1.050491+1 3.877500-4 1.864678+1 3.960000-4 2.250893+1 4.050655-4 2.518524+1 4.190983-4 2.719593+1 4.376308-4 2.765428+1 5.133597-4 2.557378+1 5.340161-4 2.724593+1 5.705100-4 2.766933+1 6.450256-4 2.534297+1 6.638932-4 2.555999+1 8.640000-4 1.959153+1 1.048576-3 1.557748+1 1.206598-3 1.303631+1 1.384989-3 1.086638+1 1.589462-3 9.006802+0 1.829558-3 7.384987+0 2.097152-3 6.063637+0 2.411408-3 4.934586+0 2.793962-3 3.949197+0 3.094396-3 3.392158+0 3.115326-3 3.504429+0 3.127525-3 3.772140+0 3.137694-3 4.214737+0 3.146621-3 4.813520+0 3.160297-3 6.094209+0 3.186505-3 8.855184+0 3.201876-3 9.925064+0 3.221997-3 1.052388+1 3.292868-3 1.073109+1 3.318998-3 1.154933+1 3.360374-3 1.329857+1 3.390779-3 1.363121+1 3.531821-3 1.302063+1 3.617811-3 1.410063+1 4.394309-3 1.062343+1 5.021087-3 8.613474+0 5.704568-3 7.029351+0 6.557205-3 5.602385+0 7.473808-3 4.503326+0 8.475775-3 3.641716+0 9.644377-3 2.919281+0 1.091548-2 2.354995+0 1.208468-2 1.971268+0 1.354937-2 1.610192+0 1.506755-2 1.333492+0 1.684432-2 1.092235+0 1.890096-2 8.870415-1 2.130045-2 7.135928-1 2.363607-2 5.909137-1 2.381128-2 6.004152-1 2.389701-2 6.352981-1 2.397203-2 7.086157-1 2.403046-2 8.101604-1 2.408023-2 9.370474-1 2.414418-2 1.161845+0 2.421778-2 1.501751+0 2.443239-2 2.676912+0 2.454780-2 3.131208+0 2.465462-2 3.357838+0 2.484846-2 3.465780+0 2.903819-2 2.708735+0 3.311311-2 2.182746+0 3.758374-2 1.760754+0 4.269516-2 1.410552+0 4.820312-2 1.139655+0 5.436387-2 9.188358-1 6.130540-2 7.388402-1 6.872969-2 5.987933-1 7.804407-2 4.730604-1 8.734798-2 3.828758-1 9.877324-2 3.034462-1 1.103999-1 2.456000-1 1.223751-1 2.018842-1 1.333733-1 1.712885-1 1.488364-1 1.389013-1 1.644510-1 1.147897-1 1.831302-1 9.346178-2 2.027509-1 7.706312-2 2.246594-1 6.355811-2 2.483133-1 5.275704-2 2.762540-1 4.337625-2 3.054921-1 3.621296-2 3.407141-1 2.988787-2 3.788070-1 2.491083-2 4.224368-1 2.079079-2 4.794919-1 1.698083-2 5.370673-1 1.429174-2 5.952336-1 1.231228-2 6.685071-1 1.050188-2 7.539521-1 9.003767-3 8.499854-1 7.802366-3 9.549926-1 6.850205-3 1.127267+0 5.742669-3 1.347258+0 4.736224-3 1.619761+0 3.882256-3 1.947381+0 3.182264-3 2.341267+0 2.608484-3 2.814822+0 2.138159-3 3.384160+0 1.752637-3 4.068655+0 1.436627-3 4.891600+0 1.177595-3 5.880996+0 9.652679-4 7.070513+0 7.912247-4 8.500626+0 6.485624-4 9.760024+0 5.587155-4 1.000000+1 1.133579-3 1 46000 7 0 1.064000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-4.599770+1 3.031716-6-4.586220+1 4.188882-6-4.455196+1 4.400361-6-4.240461+1 4.461383-6-3.982624+1 4.514148-6-3.452229+1 4.531836-6-3.429203+1 4.550173-6-3.683537+1 4.567594-6-4.230296+1 4.579111-6-4.634087+1 4.601089-6-3.898696+1 4.618769-6-3.626342+1 4.631297-6-3.593403+1 4.664278-6-3.889605+1 4.709417-6-4.294432+1 4.828755-6-4.657300+1 4.896987-6-4.375310+1 4.950190-6-4.089547+1 4.977344-6-4.222818+1 5.005456-6-4.635101+1 5.039708-6-4.061953+1 5.065319-6-3.895230+1 5.119425-6-4.013404+1 5.211070-6-4.324840+1 5.507293-6-4.531461+1 6.094090-6-4.667372+1 6.206169-6-4.570488+1 6.250044-6-4.682314+1 6.310375-6-4.457585+1 6.588951-6-4.708563+1 6.700518-6-4.656866+1 6.730926-6-4.731948+1 6.896345-6-4.523777+1 7.116618-6-4.704109+1 7.329408-6-4.695533+1 7.473332-6-4.661168+1 1.710827-5-4.808832+1 2.691535-5-4.692667+1 3.408685-5-4.293052+1 4.363229-5-3.413890+1 4.731829-5-2.961482+1 4.792688-5-2.782739+1 4.858148-5-2.415278+1 4.875959-5-2.436394+1 4.894324-5-2.619004+1 4.918101-5-3.017382+1 4.944168-5-2.541340+1 4.958645-5-2.396651+1 4.976272-5-2.354173+1 5.035333-5-2.627884+1 5.080467-5-2.767116+1 5.185182-5-2.926913+1 5.282849-5-2.703062+1 5.325460-5-2.727382+1 5.363964-5-2.914201+1 5.415125-5-2.543538+1 5.452657-5-2.471099+1 5.551664-5-2.581800+1 5.744408-5-2.628880+1 6.053228-5-2.473160+1 6.670796-5-2.416025+1 7.999794-5-2.574605+1 9.603909-5-2.839687+1 1.250000-4-3.098273+1 1.836405-4-3.270625+1 2.665238-4-3.456305+1 3.170103-4-3.764439+1 3.409772-4-4.105234+1 3.598000-4-4.568271+1 3.768747-4-5.149406+1 3.870000-4-5.107889+1 4.284487-4-3.798343+1 4.495731-4-3.357517+1 4.756544-4-3.020631+1 5.083867-4-2.777459+1 5.280000-4-2.801570+1 5.464050-4-2.554098+1 5.577500-4-2.467558+1 5.800000-4-2.197154+1 6.163793-4-1.917983+1 6.450256-4-1.791601+1 6.575325-4-1.754568+1 6.794595-4-1.584119+1 7.300000-4-1.347612+1 8.095144-4-1.096241+1 8.893291-4-9.281540+0 9.720000-4-8.083097+0 1.086926-3-7.006683+0 1.206598-3-6.334730+0 1.384989-3-5.833228+0 1.589462-3-5.675269+0 1.829558-3-5.806194+0 2.097152-3-6.220291+0 2.411408-3-7.040403+0 2.662438-3-8.083248+0 2.843779-3-9.275178+0 2.966111-3-1.056492+1 3.045743-3-1.193703+1 3.094396-3-1.338037+1 3.127525-3-1.521546+1 3.160297-3-1.730683+1 3.178803-3-1.743329+1 3.211115-3-1.575367+1 3.240652-3-1.435582+1 3.271703-3-1.382998+1 3.328619-3-1.405818+1 3.360374-3-1.304824+1 3.404915-3-1.122615+1 3.456930-3-1.003788+1 3.514582-3-9.403600+0 3.572366-3-9.288396+0 3.605272-3-8.721537+0 3.667188-3-7.289732+0 3.748164-3-6.137148+0 3.864549-3-4.995961+0 3.981072-3-4.147764+0 4.122515-3-3.352708+0 4.278476-3-2.679400+0 4.450794-3-2.104265+0 4.630417-3-1.645719+0 4.811492-3-1.280790+0 5.021087-3-9.568513-1 5.158222-3-7.801221-1 5.329896-3-5.972614-1 5.436414-3-4.994310-1 5.551048-3-4.082563-1 5.704568-3-3.022888-1 5.837810-3-2.271919-1 5.984492-3-1.553021-1 6.125013-3-9.765785-2 6.256234-3-5.454903-2 6.386892-3-1.479417-2 6.453168-3 1.032796-3 6.512749-3 1.549370-2 6.536007-3 2.085742-2 6.687648-3 5.036825-2 6.823218-3 7.058850-2 7.001233-3 9.101082-2 7.282861-3 1.062943-1 7.473808-3 1.114241-1 7.696547-3 1.111803-1 7.962354-3 1.058627-1 8.197483-3 9.511002-2 8.475775-3 7.756290-2 8.756766-3 5.497266-2 9.057469-3 2.763215-2 9.310377-3 1.818851-3 9.331200-3-2.777144-4 9.418928-3-9.507789-3 9.644377-3-3.446158-2 9.828789-3-5.427429-2 1.091548-2-1.822739-1 1.684432-2-9.096342-1 1.890096-2-1.199935+0 2.046616-2-1.483060+0 2.162719-2-1.775200+0 2.247397-2-2.086758+0 2.304507-2-2.402058+0 2.343094-2-2.723254+0 2.371786-2-3.104975+0 2.391939-2-3.566505+0 2.421778-2-4.484456+0 2.432338-2-4.576885+0 2.445869-2-4.350958+0 2.478962-2-3.229781+0 2.496410-2-2.826846+0 2.518456-2-2.480960+0 2.555253-2-2.090685+0 2.603736-2-1.730981+0 2.668923-2-1.386115+0 2.739758-2-1.116697+0 2.817230-2-8.989655-1 2.903819-2-7.114104-1 3.001537-2-5.446472-1 3.090295-2-4.223044-1 3.164971-2-3.376566-1 3.266022-2-2.446395-1 3.311311-2-2.086544-1 3.400000-2-1.465964-1 3.486257-2-9.603242-2 3.552380-2-6.373166-2 3.653926-2-2.010052-2 3.738314-2 1.005868-2 3.758374-2 1.734428-2 3.857003-2 4.626619-2 3.945425-2 6.703337-2 4.059537-2 8.980203-2 4.160181-2 1.053962-1 4.269516-2 1.193979-1 4.388132-2 1.315931-1 4.697067-2 1.511487-1 4.933948-2 1.574981-1 5.308844-2 1.561055-1 5.855297-2 1.440983-1 6.872969-2 1.050827-1 8.254831-2 4.952421-2 8.916247-2 2.542613-2 9.485589-2 6.685867-3 9.600698-2 2.986519-3 9.680195-2 5.219957-4 9.773003-2-2.330468-3 1.016666-1-1.406298-2 1.074399-1-3.012429-2 1.166221-1-5.257324-2 1.293369-1-7.874176-2 1.429948-1-1.017704-1 1.644510-1-1.298417-1 1.964862-1-1.596244-1 2.403637-1-1.860004-1 3.054921-1-2.088924-1 4.224368-1-2.289835-1 6.685071-1-2.439304-1 1.477239+0-2.521749-1 4.461192+0-2.541801-1 1.000000+1-2.542778-1 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 4.352374-3 1.081209-6 6.063112-3 1.114997-6 6.905239-3 1.149840-6 7.881806-3 1.185773-6 9.016213-3 1.222828-6 1.033632-2 1.261042-6 1.187539-2 1.300449-6 1.367325-2 1.341088-6 1.577779-2 1.382997-6 1.824671-2 1.426216-6 2.114990-2 1.470785-6 2.457228-2 1.516747-6 2.861758-2 1.564146-6 3.341305-2 1.613025-6 3.911571-2 1.663432-6 4.592038-2 1.715414-6 5.407036-2 1.769015-6 6.386422-2 1.820942-6 7.491565-2 1.871245-6 8.733208-2 1.919976-6 1.012213-1 1.967185-6 1.166958-1 2.100142-6 1.728326-1 2.141720-6 1.949810-1 2.181999-6 2.192802-1 2.221019-6 2.458756-1 2.258820-6 2.749185-1 2.295440-6 3.065664-1 2.330915-6 3.409835-1 2.365282-6 3.783407-1 2.398575-6 4.188158-1 2.430827-6 4.625935-1 2.462071-6 5.098660-1 2.492339-6 5.608325-1 2.521662-6 6.156997-1 2.550067-6 6.746820-1 2.577586-6 7.380013-1 2.604244-6 8.058873-1 2.655087-6 9.563170-1 2.702802-6 1.128013+0 2.725548-6 1.222795+0 2.747582-6 1.324266+0 2.790274-6 1.550065+0 2.830297-6 1.803738+0 2.867819-6 2.088895+0 2.902996-6 2.408332+0 2.935974-6 2.764895+0 2.966891-6 3.161532+0 2.995876-6 3.601278+0 3.023050-6 4.087215+0 3.048525-6 4.622325+0 3.072407-6 5.209409+0 3.094797-6 5.851499+0 3.115788-6 6.552052+0 3.135467-6 7.314540+0 3.153916-6 8.142225+0 3.171212-6 9.038198+0 3.187426-6 1.000542+1 3.202628-6 1.104673+1 3.216879-6 1.216482+1 3.230240-6 1.336222+1 3.242765-6 1.464129+1 3.254508-6 1.600426+1 3.265517-6 1.745322+1 3.275838-6 1.899015+1 3.285513-6 2.061692+1 3.294584-6 2.233523+1 3.303088-6 2.414659+1 3.311061-6 2.605234+1 3.318535-6 2.805387+1 3.325542-6 3.015284+1 3.332111-6 3.235139+1 3.344429-6 3.722917+1 3.355206-6 4.257711+1 3.364637-6 4.842307+1 3.372888-6 5.476986+1 3.380108-6 6.157736+1 3.386426-6 6.875810+1 3.391954-6 7.618708+1 3.396791-6 8.371957+1 3.401023-6 9.120983+1 3.407966-6 1.055585+2 3.417890-6 1.311259+2 3.431704-6 1.776857+2 3.439093-6 2.076775+2 3.443315-6 2.261455+2 3.447537-6 2.453577+2 3.455981-6 2.850165+2 3.457037-6 2.899984+2 3.464425-6 3.242152+2 3.467328-6 3.370601+2 3.472869-6 3.600148+2 3.475772-6 3.709871+2 3.478543-6 3.806500+2 3.481314-6 3.894327+2 3.485008-6 3.996465+2 3.488570-6 4.077633+2 3.493980-6 4.166962+2 3.498202-6 4.208438+2 3.502952-6 4.227619+2 3.508163-6 4.220390+2 3.516824-6 4.168045+2 3.525268-6 4.118474+2 3.529811-6 4.116081+2 3.531978-6 4.125305+2 3.535673-6 4.160900+2 3.538641-6 4.210942+2 3.541940-6 4.292549+2 3.545386-6 4.410547+2 3.548866-6 4.566818+2 3.550155-6 4.634681+2 3.554302-6 4.890990+2 3.558126-6 5.179695+2 3.562566-6 5.577585+2 3.567804-6 6.128994+2 3.579894-6 7.672997+2 3.585856-6 8.516710+2 3.590779-6 9.218426+2 3.595897-6 9.926019+2 3.600271-6 1.049293+3 3.604799-6 1.102528+3 3.608854-6 1.144154+3 3.612106-6 1.172694+3 3.616170-6 1.201567+3 3.618638-6 1.215138+3 3.627133-6 1.237441+3 3.629510-6 1.236737+3 3.636097-6 1.219141+3 3.640235-6 1.196868+3 3.644245-6 1.167706+3 3.648659-6 1.127880+3 3.652937-6 1.082588+3 3.656740-6 1.037727+3 3.660406-6 9.911821+2 3.665975-6 9.160450+2 3.670320-6 8.551242+2 3.675209-6 7.857623+2 3.679012-6 7.321187+2 3.687704-6 6.138643+2 3.690692-6 5.753925+2 3.696396-6 5.059675+2 3.702914-6 4.339140+2 3.710746-6 3.584132+2 3.726717-6 2.411127+2 3.733019-6 2.069257+2 3.739284-6 1.786165+2 3.745500-6 1.553416+2 3.751667-6 1.362479+2 3.757786-6 1.205748+2 3.763857-6 1.076672+2 3.769881-6 9.697689+1 3.775858-6 8.805493+1 3.781788-6 8.054097+1 3.787672-6 7.414978+1 3.793509-6 6.865800+1 3.805094-6 5.968562+1 3.816497-6 5.269338+1 3.827722-6 4.708186+1 3.840000-6 4.200913+1 3.849649-6 3.862495+1 3.860356-6 3.536304+1 3.870896-6 3.256762+1 3.881272-6 3.014883+1 3.891485-6 2.803827+1 3.901538-6 2.618278+1 3.921331-6 2.305558+1 3.940505-6 2.055293+1 3.959080-6 1.851131+1 3.977075-6 1.681997+1 3.994507-6 1.540081+1 4.011395-6 1.419683+1 4.027755-6 1.316521+1 4.043603-6 1.227300+1 4.074310-6 1.078875+1 4.103097-6 9.630017+0 4.130086-6 8.705340+0 4.155387-6 7.954867+0 4.179107-6 7.336869+0 4.201345-6 6.820938+0 4.243040-6 5.986584+0 4.279524-6 5.370311+0 4.311447-6 4.902795+0 4.339380-6 4.540149+0 4.388262-6 3.988974+0 4.424924-6 3.632773+0 4.546071-6 2.705970+0 4.702341-6 1.880182+0 4.758151-6 1.648965+0 4.822461-6 1.408250+0 4.858071-6 1.283986+0 4.893680-6 1.165590+0 4.929290-6 1.052124+0 4.953030-6 9.786596-1 4.976770-6 9.065560-1 5.000509-6 8.354867-1 5.024249-6 7.651141-1 5.036119-6 7.300802-1 5.047989-6 6.950886-1 5.059859-6 6.600948-1 5.086974-6 5.799125-1 5.110699-6 5.091594-1 5.131459-6 4.465747-1 5.149624-6 3.912618-1 5.165519-6 3.426001-1 5.179426-6 3.001657-1 5.191595-6 2.636481-1 5.202243-6 2.327714-1 5.211560-6 2.072333-1 5.226846-6 1.706511-1 5.233087-6 1.586826-1 5.238549-6 1.502361-1 5.243328-6 1.447715-1 5.247509-6 1.417622-1 5.254826-6 1.413744-1 5.260315-6 1.460817-1 5.264431-6 1.530254-1 5.267518-6 1.604432-1 5.269833-6 1.673841-1 5.273306-6 1.802265-1 5.275911-6 1.919452-1 5.278072-6 2.031429-1 5.287769-6 2.723220-1 5.292012-6 3.138523-1 5.298789-6 3.970730-1 5.309929-6 5.870289-1 5.315743-6 7.166739-1 5.328731-6 1.093798+0 5.333731-6 1.273924+0 5.346001-6 1.802661+0 5.349572-6 1.979548+0 5.359180-6 2.504000+0 5.364521-6 2.823336+0 5.370101-6 3.174931+0 5.375509-6 3.529966+0 5.380589-6 3.872865+0 5.386282-6 4.263492+0 5.391910-6 4.651129+0 5.397702-6 5.045655+0 5.405228-6 5.541417+0 5.411102-6 5.906936+0 5.416296-6 6.208995+0 5.422343-6 6.529990+0 5.423959-6 6.609516+0 5.437356-6 7.150910+0 5.439761-6 7.223886+0 5.450740-6 7.455774+0 5.456826-6 7.511257+0 5.459259-6 7.518885+0 5.466558-6 7.493055+0 5.471233-6 7.439504+0 5.473900-6 7.396628+0 5.478568-6 7.301181+0 5.484695-6 7.139268+0 5.490603-6 6.947893+0 5.497449-6 6.689140+0 5.502325-6 6.484641+0 5.513754-6 5.957201+0 5.518652-6 5.717248+0 5.528447-6 5.226373+0 5.536541-6 4.820699+0 5.545583-6 4.379217+0 5.557807-6 3.818500+0 5.591265-6 2.590490+0 5.604648-6 2.233121+0 5.611340-6 2.080286+0 5.624723-6 1.819865+0 5.638107-6 1.610521+0 5.651490-6 1.441593+0 5.664874-6 1.303753+0 5.678257-6 1.189405+0 5.691640-6 1.092681+0 5.705024-6 1.009213+0 5.736563-6 8.482661-1 5.754138-6 7.732714-1 5.834359-6 4.943669-1 5.854414-6 4.322597-1 5.869456-6 3.869028-1 5.892018-6 3.222426-1 5.914580-6 2.662392-1 5.923979-6 2.474901-1 5.931258-6 2.356061-1 5.943696-6 2.219701-1 5.953141-6 2.183985-1 5.956289-6 2.186931-1 5.970878-6 2.308782-1 5.972702-6 2.337286-1 5.985467-6 2.623857-1 5.991125-6 2.800011-1 5.996527-6 2.995795-1 6.004020-6 3.310178-1 6.021606-6 4.216748-1 6.031523-6 4.804551-1 6.035403-6 5.043347-1 6.043052-6 5.520321-1 6.047422-6 5.792646-1 6.053791-6 6.183457-1 6.060160-6 6.560396-1 6.074718-6 7.332055-1 6.076538-6 7.416867-1 6.089276-6 7.918887-1 6.094280-6 8.067408-1 6.103834-6 8.267112-1 6.110050-6 8.335846-1 6.113596-6 8.353226-1 6.120616-6 8.341326-1 6.124459-6 8.309328-1 6.131442-6 8.206994-1 6.138425-6 8.051119-1 6.142966-6 7.923339-1 6.147508-6 7.776570-1 6.157277-6 7.404530-1 6.160533-6 7.265814-1 6.175122-6 6.577927-1 6.189711-6 5.826522-1 6.205740-6 4.993921-1 6.215933-6 4.487970-1 6.226162-6 4.013594-1 6.246532-6 3.203737-1 6.255333-6 2.918369-1 6.261832-6 2.734348-1 6.270617-6 2.522034-1 6.277132-6 2.391397-1 6.284781-6 2.266343-1 6.292431-6 2.170561-1 6.297346-6 2.123597-1 6.305948-6 2.066725-1 6.312399-6 2.043253-1 6.317237-6 2.035214-1 6.324495-6 2.036518-1 6.331752-6 2.051185-1 6.343215-6 2.093949-1 6.369825-6 2.223652-1 6.385503-6 2.277888-1 6.389423-6 2.285696-1 6.401182-6 2.292347-1 6.409021-6 2.281973-1 6.414901-6 2.266370-1 6.423720-6 2.230973-1 6.432539-6 2.182537-1 6.440378-6 2.130211-1 6.448217-6 2.070975-1 6.460728-6 1.966818-1 6.479574-6 1.802302-1 6.506002-6 1.590305-1 6.516752-6 1.516592-1 6.531479-6 1.428453-1 6.546206-6 1.353417-1 6.572672-6 1.241062-1 6.597504-6 1.147762-1 6.622622-6 1.055384-1 6.652214-6 9.460970-2 6.679358-6 8.476161-2 6.697098-6 7.854865-2 6.726973-6 6.861737-2 6.755423-6 5.984555-2 6.773595-6 5.462051-2 6.799438-6 4.775200-2 6.860294-6 3.459394-2 6.887234-6 3.020318-2 6.908210-6 2.737205-2 6.924248-6 2.554484-2 6.938374-6 2.417887-2 6.951430-6 2.312500-2 6.964071-6 2.230457-2 6.973719-6 2.181748-2 6.980183-6 2.156156-2 6.991186-6 2.126159-2 6.996187-6 2.118371-2 7.005798-6 2.114051-2 7.013659-6 2.121252-2 7.020536-6 2.135715-2 7.030351-6 2.169912-2 7.042690-6 2.236151-2 7.054450-6 2.324035-2 7.063492-6 2.408405-2 7.100667-6 2.913217-2 7.159996-6 4.273040-2 7.219830-6 6.414219-2 7.244723-6 7.563024-2 7.307747-6 1.125284-1 7.337290-6 1.342110-1 7.365909-6 1.582527-1 7.393634-6 1.845629-1 7.445176-6 2.407121-1 7.483927-6 2.851474-1 7.530886-6 3.278162-1 7.566820-6 3.399780-1 7.568161-6 3.399826-1 7.607365-6 3.255934-1 7.646788-6 2.877391-1 7.684091-6 2.402383-1 7.701873-6 2.162377-1 7.719099-6 1.930608-1 7.735787-6 1.711089-1 7.753941-6 1.481632-1 7.767614-6 1.317252-1 7.782786-6 1.145114-1 7.797484-6 9.902718-2 7.811722-6 8.530714-2 7.827913-6 7.145308-2 7.838878-6 6.326009-2 7.864767-6 4.835761-2 7.889039-6 4.116487-2 7.911793-6 4.180506-2 7.933125-6 5.037841-2 7.953277-6 6.711792-2 7.971874-6 9.157337-2 7.989451-6 1.242275-1 8.005930-6 1.648744-1 8.021378-6 2.134305-1 8.035862-6 2.697755-1 8.049440-6 3.337557-1 8.062169-6 4.051894-1 8.074103-6 4.838702-1 8.096479-6 6.686723-1 8.116058-6 8.812489-1 8.148179-6 1.378883+0 8.161296-6 1.657323+0 8.172773-6 1.950172+0 8.182815-6 2.252823+0 8.200514-6 2.920886+0 8.213569-6 3.555662+0 8.223454-6 4.139119+0 8.238282-6 5.223194+0 8.253110-6 6.623628+0 8.273424-6 9.220531+0 8.303895-6 1.516720+1 8.319131-6 1.936703+1 8.334366-6 2.458164+1 8.345546-6 2.913449+1 8.357530-6 3.475705+1 8.368445-6 4.058137+1 8.374994-6 4.440563+1 8.385151-6 5.082679+1 8.395308-6 5.783173+1 8.415622-6 7.344759+1 8.418163-6 7.553365+1 8.435951-6 9.075746+1 8.443019-6 9.702093+1 8.456512-6 1.090855+2 8.466954-6 1.183213+2 8.477074-6 1.269935+2 8.487515-6 1.354583+2 8.495105-6 1.411896+2 8.502776-6 1.465332+2 8.511691-6 1.520790+2 8.519482-6 1.562587+2 8.531530-6 1.613448+2 8.540938-6 1.640465+2 8.553288-6 1.657884+2 8.560832-6 1.658155+2 8.580835-6 1.621027+2 8.587249-6 1.597950+2 8.601728-6 1.527726+2 8.609936-6 1.477886+2 8.616854-6 1.430986+2 8.623404-6 1.382970+2 8.631838-6 1.316747+2 8.641309-6 1.237696+2 8.649219-6 1.168906+2 8.656847-6 1.101041+2 8.659390-6 1.078216+2 8.671040-6 9.732881+1 8.681233-6 8.823374+1 8.685260-6 8.469667+1 8.694255-6 7.696141+1 8.703251-6 6.951767+1 8.723813-6 5.391074+1 8.730881-6 4.906596+1 8.737627-6 4.470906+1 8.744374-6 4.061943+1 8.749515-6 3.768463+1 8.761081-6 3.165342+1 8.773532-6 2.603044+1 8.782205-6 2.262885+1 8.868005-6 8.056015+0 8.871076-6 8.085444+0 8.874378-6 8.156066+0 8.877155-6 8.246715+0 8.880126-6 8.375319+0 8.884665-6 8.634895+0 8.889833-6 9.023425+0 8.895290-6 9.541504+0 8.899692-6 1.004044+1 8.904754-6 1.070362+1 8.911660-6 1.176338+1 8.920478-6 1.337633+1 8.935491-6 1.678695+1 8.956679-6 2.296493+1 8.961475-6 2.456855+1 8.978255-6 3.069308+1 8.986222-6 3.383843+1 8.994978-6 3.742913+1 9.002753-6 4.070275+1 9.007751-6 4.283434+1 9.016484-6 4.657893+1 9.025113-6 5.026268+1 9.034006-6 5.399008+1 9.043307-6 5.775478+1 9.055201-6 6.227330+1 9.064580-6 6.552920+1 9.068192-6 6.669780+1 9.079497-6 7.000941+1 9.086621-6 7.180182+1 9.108790-6 7.575346+1 9.112589-6 7.617022+1 9.131299-6 7.708489+1 9.138333-6 7.694679+1 9.145048-6 7.657851+1 9.154491-6 7.568717+1 9.164083-6 7.436364+1 9.174854-6 7.242240+1 9.179995-6 7.134305+1 9.191562-6 6.859951+1 9.195417-6 6.759911+1 9.206331-6 6.457339+1 9.217245-6 6.131678+1 9.233615-6 5.614899+1 9.239072-6 5.438321+1 9.255443-6 4.905815+1 9.265753-6 4.574070+1 9.282739-6 4.044686+1 9.299725-6 3.547309+1 9.310483-6 3.252895+1 9.327319-6 2.827985+1 9.354913-6 2.230984+1 9.388026-6 1.672286+1 9.418279-6 1.292458+1 9.437972-6 1.099940+1 9.449488-6 1.003959+1 9.472520-6 8.425878+0 9.495552-6 7.143500+0 9.518584-6 6.115326+0 9.541616-6 5.280561+0 9.564648-6 4.592769+0 9.587680-6 4.017255+0 9.610712-6 3.528452+0 9.702840-6 2.132242+0 9.737002-6 1.762519+0 9.771936-6 1.439378+0 9.830126-6 9.972295-1 9.895123-6 6.168686-1 9.933684-6 4.439471-1 9.972246-6 3.175267-1 9.996791-6 2.688649-1 1.002134-5 2.537391-1 1.004588-5 2.829831-1 1.005815-5 3.185174-1 1.007043-5 3.706578-1 1.008270-5 4.416038-1 1.009497-5 5.336654-1 1.012889-5 9.172278-1 1.013705-5 1.041451+0 1.014494-5 1.174551+0 1.016861-5 1.653409+0 1.017875-5 1.895930+0 1.018387-5 2.026802+0 1.019625-5 2.366327+0 1.020633-5 2.665384+0 1.022878-5 3.396816+0 1.023647-5 3.664568+0 1.024308-5 3.899653+0 1.025813-5 4.446421+0 1.026757-5 4.793221+0 1.027860-5 5.195710+0 1.028511-5 5.429218+0 1.029492-5 5.771959+0 1.030110-5 5.980374+0 1.031116-5 6.303331+0 1.032294-5 6.650153+0 1.033834-5 7.039655+0 1.034855-5 7.250994+0 1.035853-5 7.417361+0 1.036955-5 7.551404+0 1.038058-5 7.630626+0 1.038213-5 7.637288+0 1.040545-5 7.602421+0 1.041580-5 7.507447+0 1.043235-5 7.260569+0 1.044356-5 7.032379+0 1.045069-5 6.864458+0 1.045604-5 6.727948+0 1.046407-5 6.507811+0 1.047209-5 6.271351+0 1.048031-5 6.014818+0 1.048647-5 5.814513+0 1.049572-5 5.504109+0 1.050496-5 5.185199+0 1.051637-5 4.785400+0 1.052779-5 4.385135+0 1.053402-5 4.168608+0 1.054337-5 3.849154+0 1.055272-5 3.538728+0 1.057765-5 2.774406+0 1.058487-5 2.574558+0 1.062226-5 1.729496+0 1.063022-5 1.594990+0 1.063546-5 1.515557+0 1.071409-5 1.252414+0 1.071760-5 1.282667+0 1.072814-5 1.395422+0 1.073595-5 1.500208+0 1.074376-5 1.623020+0 1.075014-5 1.736811+0 1.077106-5 2.191563+0 1.079275-5 2.789127+0 1.080736-5 3.256655+0 1.082380-5 3.835321+0 1.083376-5 4.208110+0 1.083821-5 4.378818+0 1.085188-5 4.914903+0 1.085752-5 5.139405+0 1.086421-5 5.407050+0 1.087203-5 5.719303+0 1.088305-5 6.154786+0 1.088859-5 6.369458+0 1.089565-5 6.637267+0 1.090212-5 6.875398+0 1.091391-5 7.287729+0 1.092378-5 7.606117+0 1.093333-5 7.886478+0 1.094632-5 8.216860+0 1.095862-5 8.469021+0 1.096273-5 8.538913+0 1.097224-5 8.672088+0 1.098176-5 8.763618+0 1.100921-5 8.786368+0 1.102131-5 8.683188+0 1.103099-5 8.553138+0 1.104258-5 8.344860+0 1.105249-5 8.124973+0 1.106196-5 7.882592+0 1.107142-5 7.612047+0 1.108225-5 7.272531+0 1.109110-5 6.975760+0 1.109774-5 6.743874+0 1.110770-5 6.384531+0 1.111765-5 6.015641+0 1.112904-5 5.588079+0 1.114042-5 5.160771+0 1.115712-5 4.546947+0 1.116269-5 4.348327+0 1.117704-5 3.855663+0 1.119331-5 3.338081+0 1.121005-5 2.859095+0 1.124427-5 2.066738+0 1.125290-5 1.907255+0 1.126585-5 1.697398+0 1.127879-5 1.521241+0 1.128781-5 1.417294+0 1.130134-5 1.288368+0 1.130810-5 1.235285+0 1.131486-5 1.189308+0 1.134325-5 1.065962+0 1.138450-5 1.049709+0 1.139705-5 1.075035+0 1.140525-5 1.097928+0 1.141562-5 1.133443+0 1.142599-5 1.175627+0 1.143618-5 1.222911+0 1.146676-5 1.392817+0 1.149616-5 1.581918+0 1.151052-5 1.677601+0 1.151874-5 1.732054+0 1.153313-5 1.825093+0 1.154392-5 1.891720+0 1.155201-5 1.939224+0 1.156415-5 2.005529+0 1.157662-5 2.066255+0 1.159481-5 2.139039+0 1.160871-5 2.180371+0 1.162238-5 2.208120+0 1.163681-5 2.223206+0 1.164707-5 2.225157+0 1.165686-5 2.220472+0 1.167494-5 2.196244+0 1.169236-5 2.156275+0 1.170924-5 2.105431+0 1.172564-5 2.048183+0 1.178601-5 1.828275+0 1.180976-5 1.760463+0 1.182154-5 1.733867+0 1.183476-5 1.710094+0 1.185346-5 1.687679+0 1.186649-5 1.679595+0 1.188092-5 1.677321+0 1.190047-5 1.684031+0 1.192748-5 1.707612+0 1.197469-5 1.769752+0 1.202596-5 1.838108+0 1.206415-5 1.878181+0 1.210310-5 1.908229+0 1.216673-5 1.941165+0 1.237132-5 2.020857+0 1.249528-5 2.085403+0 1.281975-5 2.297016+0 1.315527-5 2.544916+0 1.343173-5 2.778239+0 1.359261-5 2.928257+0 1.407123-5 3.437703+0 1.446842-5 3.929801+0 1.473769-5 4.306944+0 1.513561-5 4.903655+0 1.569375-5 5.892567+0 1.621810-5 6.936714+0 1.685000-5 8.406044+0 1.730000-5 9.570415+0 1.778279-5 1.092352+1 1.838859-5 1.290827+1 1.950000-5 1.703176+1 2.018366-5 1.998007+1 2.176660-5 2.823563+1 2.307170-5 3.669113+1 2.505487-5 5.270140+1 2.700829-5 7.289707+1 2.951209-5 1.059966+2 3.154159-5 1.387900+2 3.276800-5 1.611129+2 3.400000-5 1.851907+2 3.528294-5 2.114881+2 3.652286-5 2.378501+2 3.705195-5 2.492297+2 3.835000-5 2.771208+2 3.950000-5 3.014251+2 4.063438-5 3.242880+2 4.180000-5 3.465653+2 4.309085-5 3.689163+2 4.415704-5 3.853879+2 4.528130-5 4.004134+2 4.633492-5 4.120309+2 4.710000-5 4.192126+2 4.834191-5 4.278372+2 4.954502-5 4.331871+2 5.046664-5 4.350352+2 5.147490-5 4.345907+2 5.241901-5 4.313937+2 5.310274-5 4.266736+2 5.367916-5 4.206083+2 5.412222-5 4.172315+2 5.444942-5 4.205490+2 5.471337-5 4.305972+2 5.490432-5 4.430720+2 5.503318-5 4.539562+2 5.516830-5 4.672278+2 5.564645-5 5.221231+2 5.582210-5 5.418635+2 5.597905-5 5.577239+2 5.612338-5 5.700301+2 5.625557-5 5.787112+2 5.638865-5 5.843189+2 5.652799-5 5.862611+2 5.667156-5 5.837284+2 5.675655-5 5.800836+2 5.684892-5 5.744510+2 5.692492-5 5.686577+2 5.707694-5 5.545986+2 5.733030-5 5.272673+2 5.763432-5 4.955000+2 5.775655-5 4.844653+2 5.794541-5 4.698418+2 5.842934-5 4.434157+2 5.925083-5 4.133275+2 5.945642-5 4.069630+2 5.974379-5 4.001173+2 5.989808-5 3.980786+2 6.006629-5 3.976348+2 6.019235-5 3.986966+2 6.041962-5 4.038527+2 6.059694-5 4.107460+2 6.076582-5 4.194250+2 6.104044-5 4.368264+2 6.130050-5 4.547303+2 6.147299-5 4.657392+2 6.163428-5 4.743888+2 6.178528-5 4.804617+2 6.196923-5 4.847677+2 6.213814-5 4.856808+2 6.231009-5 4.839464+2 6.243102-5 4.814324+2 6.266248-5 4.746498+2 6.308968-5 4.600610+2 6.344239-5 4.496447+2 6.466374-5 4.269431+2 6.511207-5 4.218668+2 6.535070-5 4.203092+2 6.573179-5 4.197672+2 6.647210-5 4.225971+2 6.695650-5 4.234432+2 6.737644-5 4.227624+2 6.857192-5 4.184561+2 6.988465-5 4.121435+2 7.190000-5 4.007544+2 7.350000-5 3.908392+2 7.673877-5 3.695151+2 8.036324-5 3.451624+2 8.505835-5 3.148743+2 9.055437-5 2.824008+2 9.411025-5 2.628821+2 9.675664-5 2.474418+2 9.722946-5 2.454412+2 9.808952-5 2.435155+2 9.883300-5 2.425382+2 9.978573-5 2.400338+2 1.027500-4 2.293872+2 1.101202-4 2.075153+2 1.157500-4 1.941060+2 1.230269-4 1.802719+2 1.288750-4 1.714409+2 1.324500-4 1.669384+2 1.366875-4 1.623321+2 1.430000-4 1.565205+2 1.520000-4 1.503011+2 1.636206-4 1.447544+2 1.728000-4 1.416988+2 1.820000-4 1.393546+2 2.120000-4 1.337837+2 2.260000-4 1.310955+2 2.371374-4 1.285062+2 2.521470-4 1.242587+2 2.673757-4 1.186994+2 2.806038-4 1.127151+2 2.907143-4 1.072644+2 2.995610-4 1.018663+2 3.090295-4 9.534362+1 3.150970-4 9.071514+1 3.235937-4 8.360518+1 3.297251-4 7.802282+1 3.376658-4 7.016925+1 3.445882-4 6.270169+1 3.503355-4 5.601722+1 3.556408-4 4.941761+1 3.581615-4 4.612650+1 3.622621-4 4.053888+1 3.643784-4 3.757521+1 3.697723-4 3.055152+1 3.719482-4 2.825349+1 3.745774-4 2.591357+1 3.805959-4 2.151213+1 3.821733-4 2.047927+1 3.839000-4 1.946708+1 3.847396-4 1.905174+1 3.854000-4 1.877567+1 3.861500-4 1.852943+1 3.870000-4 1.835564+1 3.876250-4 1.831254+1 3.880000-4 1.832583+1 3.885226-4 1.839834+1 3.895000-4 1.872280+1 3.901271-4 1.907662+1 3.906594-4 1.947663+1 3.910000-4 1.978409+1 3.915154-4 2.033104+1 3.921596-4 2.116222+1 3.926995-4 2.199456+1 3.930000-4 2.251466+1 3.935000-4 2.347515+1 3.941500-4 2.491092+1 3.952528-4 2.786998+1 3.963712-4 3.160605+1 3.972814-4 3.524182+1 3.983749-4 4.036724+1 4.015596-4 6.040985+1 4.022996-4 6.620686+1 4.035747-4 7.721475+1 4.050997-4 9.203607+1 4.066746-4 1.091348+2 4.080246-4 1.251152+2 4.096905-4 1.463044+2 4.115000-4 1.708223+2 4.124954-4 1.848255+2 4.135998-4 2.006778+2 4.154499-4 2.277146+2 4.173000-4 2.549756+2 4.181804-4 2.679117+2 4.195000-4 2.871447+2 4.204845-4 3.013144+2 4.221682-4 3.250646+2 4.235000-4 3.433301+2 4.258098-4 3.737344+2 4.280000-4 4.009262+2 4.297738-4 4.217067+2 4.315191-4 4.410306+2 4.342450-4 4.689238+2 4.360000-4 4.853981+2 4.383256-4 5.054801+2 4.405000-4 5.225322+2 4.436099-4 5.442139+2 4.470000-4 5.644837+2 4.507500-4 5.832073+2 4.553575-4 6.017823+2 4.600000-4 6.165716+2 4.657412-4 6.305738+2 4.772545-4 6.514753+2 4.888658-4 6.688097+2 5.023726-4 6.853041+2 5.138106-4 6.971941+2 5.243849-4 7.057197+2 5.328372-4 7.097768+2 5.406440-4 7.104700+2 5.526592-4 7.066621+2 5.573927-4 7.079719+2 5.629068-4 7.167798+2 5.669057-4 7.294975+2 5.701000-4 7.430718+2 5.790517-4 7.846245+2 5.891468-4 8.206047+2 6.007824-4 8.573082+2 6.136557-4 9.031827+2 6.235000-4 9.303112+2 6.347500-4 9.518752+2 6.472769-4 9.691336+2 6.591032-4 9.808352+2 6.723801-4 9.900359+2 6.911395-4 9.999461+2 6.961423-4 1.005738+3 7.051025-4 1.022562+3 7.178407-4 1.049990+3 7.256302-4 1.062887+3 7.375087-4 1.077089+3 7.524978-4 1.090141+3 7.931859-4 1.115759+3 8.375944-4 1.134034+3 8.874114-4 1.147798+3 9.634455-4 1.158449+3 1.060361-3 1.163157+3 1.168638-3 1.158590+3 1.264373-3 1.147046+3 1.436109-3 1.116255+3 1.573935-3 1.090231+3 1.642368-3 1.076750+3 1.806148-3 1.038091+3 1.982498-3 9.962852+2 2.178272-3 9.467388+2 2.280566-3 9.206699+2 2.377053-3 8.947400+2 2.478684-3 8.663864+2 2.586404-3 8.353880+2 2.686335-3 8.054247+2 2.772123-3 7.773629+2 2.849730-3 7.500029+2 2.916607-3 7.247516+2 2.977488-3 6.999373+2 3.023788-3 6.793492+2 3.074769-3 6.542105+2 3.114852-3 6.321112+2 3.146571-3 6.125928+2 3.178246-3 5.907478+2 3.208537-3 5.666214+2 3.231641-3 5.447969+2 3.249958-3 5.242626+2 3.264949-3 5.047441+2 3.275546-3 4.894785+2 3.308656-3 4.401131+2 3.318911-3 4.280233+2 3.324664-3 4.227995+2 3.331595-3 4.183546+2 3.339823-3 4.160312+2 3.346020-3 4.165232+2 3.353140-3 4.194472+2 3.358261-3 4.230185+2 3.367132-3 4.317329+2 3.378698-3 4.466901+2 3.400490-3 4.788404+2 3.408371-3 4.897328+2 3.418966-3 5.026203+2 3.429322-3 5.128447+2 3.442637-3 5.224108+2 3.455039-3 5.281248+2 3.479490-3 5.340223+2 3.495818-3 5.378687+2 3.504601-3 5.411326+2 3.513126-3 5.455292+2 3.522694-3 5.521225+2 3.539119-3 5.674964+2 3.579877-3 6.171301+2 3.594575-3 6.338634+2 3.606116-3 6.453659+2 3.621299-3 6.580896+2 3.640542-3 6.705549+2 3.661702-3 6.803511+2 3.682726-3 6.868700+2 3.720475-3 6.931686+2 3.750912-3 6.981349+2 3.766713-3 7.029310+2 3.790114-3 7.141811+2 3.853204-3 7.567207+2 3.871368-3 7.672818+2 3.891592-3 7.771293+2 3.922127-3 7.888509+2 3.955393-3 7.987115+2 4.029337-3 8.145585+2 4.110610-3 8.262150+2 4.229120-3 8.363718+2 4.329273-3 8.406286+2 4.445193-3 8.416351+2 4.614305-3 8.385579+2 4.784633-3 8.311483+2 4.987554-3 8.189577+2 5.337842-3 7.927656+2 5.697794-3 7.628515+2 6.157083-3 7.237066+2 6.790082-3 6.710709+2 7.489677-3 6.171165+2 8.342832-3 5.587758+2 9.403483-3 4.970378+2 1.050834-2 4.431868+2 1.152322-2 4.008823+2 1.279621-2 3.552708+2 1.379841-2 3.239838+2 1.495647-2 2.920804+2 1.610508-2 2.641488+2 1.738163-2 2.367156+2 1.870755-2 2.116947+2 2.010688-2 1.884313+2 2.123063-2 1.715434+2 2.214937-2 1.585668+2 2.286786-2 1.486646+2 2.343172-2 1.408014+2 2.384701-2 1.347529+2 2.405246-2 1.315906+2 2.438148-2 1.260787+2 2.452655-2 1.233456+2 2.464965-2 1.207785+2 2.475414-2 1.183523+2 2.489060-2 1.147676+2 2.510315-2 1.084800+2 2.523667-2 1.048144+2 2.532966-2 1.028998+2 2.540973-2 1.019017+2 2.549211-2 1.016100+2 2.556187-2 1.019506+2 2.565816-2 1.031914+2 2.580592-2 1.062202+2 2.600972-2 1.107603+2 2.610305-2 1.124945+2 2.623857-2 1.144655+2 2.641020-2 1.161493+2 2.653078-2 1.169349+2 2.666880-2 1.175603+2 2.700507-2 1.183271+2 2.732926-2 1.184513+2 2.775317-2 1.180663+2 2.845938-2 1.165934+2 2.940597-2 1.137254+2 3.043877-2 1.100869+2 3.199692-2 1.043273+2 3.374251-2 9.798384+1 3.635013-2 8.905636+1 3.961215-2 7.910178+1 4.324184-2 6.955866+1 4.844740-2 5.841236+1 5.209686-2 5.203846+1 5.753268-2 4.414769+1 6.536007-2 3.545974+1 8.004815-2 2.480575+1 1.125939-1 1.345625+1 1.393881-1 9.103200+0 1.746924-1 5.977987+0 2.199835-1 3.861708+0 2.974326-1 2.159793+0 4.273284-1 1.066132+0 6.606935-1 4.524371-1 1.120601+0 1.586465-1 2.814822+0 2.525758-2 8.500626+0 2.771644-3 2.567148+1 3.039316-4 7.752663+1 3.332576-5 2.341267+2 3.654100-6 7.070513+2 4.006642-7 2.511886+3 3.174551-8 7.943282+3 3.174551-9 2.511886+4 3.17455-10 7.943282+4 3.17455-11 1.000000+5 2.00301-11 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.119500-6 1.258900-6 1.774400-6 1.584900-6 2.812200-6 1.995300-6 4.457000-6 2.511900-6 7.063800-6 3.162300-6 1.119500-5 3.981100-6 1.774300-5 5.011900-6 2.812100-5 6.309600-6 4.456900-5 7.943300-6 7.063600-5 1.000000-5 1.119500-4 1.258900-5 1.774200-4 1.584900-5 2.811900-4 1.995300-5 4.456500-4 2.511900-5 7.062900-4 3.162300-5 1.119300-3 3.981100-5 1.773600-3 5.011900-5 2.810400-3 6.309600-5 4.453300-3 7.943300-5 7.050700-3 1.000000-4 1.116100-2 1.258900-4 1.767000-2 1.584900-4 2.793300-2 1.995300-4 4.412700-2 2.511900-4 6.955600-2 3.162300-4 1.093100-1 3.981100-4 1.709900-1 5.011900-4 2.652400-1 6.309600-4 4.055300-1 7.943300-4 6.086700-1 1.000000-3 8.931500-1 1.258900-3 1.276600+0 1.584900-3 1.775500+0 1.995300-3 2.407300+0 2.511900-3 3.191300+0 3.162300-3 4.134700+0 3.981100-3 5.243500+0 5.011900-3 6.532800+0 6.309600-3 8.028800+0 7.943300-3 9.714300+0 1.000000-2 1.152200+1 1.258900-2 1.330300+1 1.584900-2 1.501800+1 1.995300-2 1.662900+1 2.511900-2 1.809900+1 3.162300-2 1.935500+1 3.981100-2 2.034200+1 5.011900-2 2.087400+1 6.309600-2 2.132300+1 7.943300-2 2.126700+1 1.000000-1 2.089300+1 1.258900-1 2.024000+1 1.584900-1 1.936200+1 1.995300-1 1.831300+1 2.511900-1 1.715200+1 3.162300-1 1.592000+1 3.981100-1 1.466200+1 5.011900-1 1.341000+1 6.309600-1 1.218700+1 7.943300-1 1.100600+1 1.000000+0 9.877600+0 1.258900+0 8.808500+0 1.584900+0 7.805900+0 1.995300+0 6.872800+0 2.511900+0 6.012800+0 3.162300+0 5.228100+0 3.981100+0 4.519000+0 5.011900+0 3.884300+0 6.309600+0 3.321400+0 7.943300+0 2.826400+0 1.000000+1 2.394600+0 1.258900+1 2.020500+0 1.584900+1 1.698700+0 1.995300+1 1.423400+0 2.511900+1 1.189100+0 3.162300+1 9.907500-1 3.981100+1 8.234500-1 5.011900+1 6.828900-1 6.309600+1 5.651800-1 7.943300+1 4.669200-1 1.000000+2 3.851000-1 1.258900+2 3.171300-1 1.584900+2 2.608000-1 1.995300+2 2.142100-1 2.511900+2 1.757300-1 3.162300+2 1.440100-1 3.981100+2 1.178900-1 5.011900+2 9.642200-2 6.309600+2 7.879400-2 7.943300+2 6.433600-2 1.000000+3 5.249000-2 1.258900+3 4.279500-2 1.584900+3 3.486600-2 1.995300+3 2.838900-2 2.511900+3 2.310000-2 3.162300+3 1.878600-2 3.981100+3 1.526900-2 5.011900+3 1.240400-2 6.309600+3 1.007200-2 7.943300+3 8.174100-3 1.000000+4 6.630900-3 1.258900+4 5.376700-3 1.584900+4 4.357800-3 1.995300+4 3.530700-3 2.511900+4 2.859400-3 3.162300+4 2.314900-3 3.981100+4 1.873400-3 5.011900+4 1.515600-3 6.309600+4 1.225700-3 7.943300+4 9.909500-4 1.000000+5 8.009000-4 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159548-4 3.981072-4 3.976753-4 5.011872-4 5.005050-4 6.309573-4 6.298793-4 7.943282-4 7.926328-4 1.000000-3 9.973439-4 1.258925-3 1.254766-3 1.584893-3 1.578380-3 1.995262-3 1.985088-3 2.511886-3 2.496019-3 3.162278-3 3.137515-3 3.981072-3 3.942451-3 5.011872-3 4.951617-3 6.309573-3 6.215484-3 7.943282-3 7.796301-3 1.000000-2 9.772156-3 1.258925-2 1.223719-2 1.584893-2 1.530781-2 1.995262-2 1.912170-2 2.511886-2 2.384584-2 3.162278-2 2.968006-2 3.981072-2 3.685939-2 5.011872-2 4.566278-2 6.309573-2 5.642857-2 7.943282-2 6.953190-2 1.000000-1 8.539416-2 1.258925-1 1.045485-1 1.584893-1 1.275680-1 1.995262-1 1.551359-1 2.511886-1 1.879819-1 3.162278-1 2.270644-1 3.981072-1 2.733997-1 5.011872-1 3.281702-1 6.309573-1 3.927718-1 7.943282-1 4.687356-1 1.000000+0 5.582400-1 1.258925+0 6.636924-1 1.584893+0 7.879830-1 1.995262+0 9.350923-1 2.511886+0 1.109633+0 3.162278+0 1.317367+0 3.981072+0 1.565334+0 5.011872+0 1.862197+0 6.309573+0 2.218342+0 7.943282+0 2.646810+0 1.000000+1 3.163440+0 1.258925+1 3.787457+0 1.584893+1 4.542597+0 1.995262+1 5.457747+0 2.511886+1 6.568486+0 3.162278+1 7.918459+0 3.981072+1 9.560995+0 5.011872+1 1.156178+1 6.309573+1 1.400141+1 7.943282+1 1.697903+1 1.000000+2 2.061630+1 1.258925+2 2.506370+1 1.584893+2 3.050535+1 1.995262+2 3.716857+1 2.511886+2 4.533372+1 3.162278+2 5.534631+1 3.981072+2 6.763077+1 5.011872+2 8.271411+1 6.309573+2 1.012434+2 7.943282+2 1.240197+2 1.000000+3 1.520291+2 1.258925+3 1.864945+2 1.584893+3 2.289199+2 1.995262+3 2.811746+2 2.511886+3 3.455664+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739905-9 3.981072-5 4.342191-9 5.011872-5 6.881594-9 6.309573-5 1.090609-8 7.943282-5 1.728027-8 1.000000-4 2.738234-8 1.258925-4 4.339426-8 1.584893-4 6.874028-8 1.995262-4 1.088970-7 2.511886-4 1.724487-7 3.162278-4 2.729543-7 3.981072-4 4.318227-7 5.011872-4 6.822130-7 6.309573-4 1.078037-6 7.943282-4 1.695399-6 1.000000-3 2.656054-6 1.258925-3 4.159637-6 1.584893-3 6.512840-6 1.995262-3 1.017400-5 2.511886-3 1.586718-5 3.162278-3 2.476299-5 3.981072-3 3.862052-5 5.011872-3 6.025576-5 6.309573-3 9.408914-5 7.943282-3 1.469817-4 1.000000-2 2.278443-4 1.258925-2 3.520643-4 1.584893-2 5.411202-4 1.995262-2 8.309274-4 2.511886-2 1.273019-3 3.162278-2 1.942716-3 3.981072-2 2.951331-3 5.011872-2 4.455947-3 6.309573-2 6.667162-3 7.943282-2 9.900924-3 1.000000-1 1.460584-2 1.258925-1 2.134404-2 1.584893-1 3.092132-2 1.995262-1 4.439030-2 2.511886-1 6.320673-2 3.162278-1 8.916336-2 3.981072-1 1.247074-1 5.011872-1 1.730171-1 6.309573-1 2.381855-1 7.943282-1 3.255927-1 1.000000+0 4.417600-1 1.258925+0 5.952330-1 1.584893+0 7.969102-1 1.995262+0 1.060170+0 2.511886+0 1.402253+0 3.162278+0 1.844911+0 3.981072+0 2.415737+0 5.011872+0 3.149675+0 6.309573+0 4.091231+0 7.943282+0 5.296472+0 1.000000+1 6.836560+0 1.258925+1 8.801797+0 1.584893+1 1.130634+1 1.995262+1 1.449488+1 2.511886+1 1.855038+1 3.162278+1 2.370432+1 3.981072+1 3.024972+1 5.011872+1 3.855695+1 6.309573+1 4.909432+1 7.943282+1 6.245380+1 1.000000+2 7.938370+1 1.258925+2 1.008288+2 1.584893+2 1.279840+2 1.995262+2 1.623577+2 2.511886+2 2.058549+2 3.162278+2 2.608815+2 3.981072+2 3.304764+2 5.011872+2 4.184731+2 6.309573+2 5.297139+2 7.943282+2 6.703085+2 1.000000+3 8.479709+2 1.258925+3 1.072431+3 1.584893+3 1.355973+3 1.995262+3 1.714088+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.890000-6 1.776810+6 6.950000-6 1.706820+6 7.328245-6 1.306071+6 7.673615-6 1.028421+6 8.000000-6 8.240250+5 8.350000-6 6.520910+5 8.709636-6 5.143078+5 9.015711-6 4.210420+5 9.350000-6 3.389540+5 9.700000-6 2.704040+5 1.000000-5 2.228850+5 1.035142-5 1.777160+5 1.060000-5 1.513600+5 1.088100-5 1.261585+5 1.122018-5 1.011296+5 1.150000-5 8.414750+4 1.180000-5 6.897100+4 1.186000-5 6.623844+4 1.186000-5 5.920750+6 1.202264-5 5.936735+6 1.220000-5 5.954610+6 1.230269-5 5.974756+6 1.247000-5 6.007732+6 1.247000-5 9.841124+6 1.260000-5 9.872295+6 1.288250-5 9.962259+6 1.290000-5 9.969088+6 1.303167-5 1.002040+7 1.320000-5 1.009927+7 1.333521-5 1.016263+7 1.350000-5 1.024951+7 1.364583-5 1.032637+7 1.380384-5 1.042123+7 1.385000-5 1.044894+7 1.428894-5 1.073746+7 1.445440-5 1.085657+7 1.470000-5 1.104611+7 1.496236-5 1.124910+7 1.513561-5 1.138339+7 1.515000-5 1.139596+7 1.531087-5 1.153659+7 1.545000-5 1.165850+7 1.560000-5 1.179022+7 1.575000-5 1.192222+7 1.584893-5 1.200943+7 1.590000-5 1.205635+7 1.605000-5 1.219437+7 1.615000-5 1.228658+7 1.621810-5 1.234945+7 1.626900-5 1.239885+7 1.640590-5 1.253195+7 1.655000-5 1.267242+7 1.670000-5 1.281904+7 1.678804-5 1.290529+7 1.685000-5 1.296809+7 1.700000-5 1.312047+7 1.715000-5 1.327330+7 1.730000-5 1.342659+7 1.750000-5 1.363167+7 1.770000-5 1.383753+7 1.778279-5 1.392297+7 1.793000-5 1.408055+7 1.800000-5 1.415566+7 1.830000-5 1.448701+7 1.935000-5 1.566400+7 1.950000-5 1.583428+7 1.980000-5 1.618323+7 2.018366-5 1.663278+7 2.020000-5 1.665242+7 2.070000-5 1.725678+7 2.113489-5 1.778788+7 2.162719-5 1.839513+7 2.213400-5 1.903437+7 2.270000-5 1.975648+7 2.330000-5 2.053130+7 2.398833-5 2.143187+7 2.470000-5 2.237588+7 2.540973-5 2.333020+7 2.610000-5 2.427052+7 2.691535-5 2.539646+7 2.730000-5 2.593327+7 2.786121-5 2.669739+7 2.900000-5 2.823349+7 2.951209-5 2.893211+7 3.019952-5 2.983139+7 3.126079-5 3.118679+7 3.150000-5 3.147519+7 3.198895-5 3.206613+7 3.273407-5 3.292693+7 3.300000-5 3.321061+7 3.350000-5 3.374437+7 3.400000-5 3.424745+7 3.467369-5 3.486023+7 3.507519-5 3.519899+7 3.589219-5 3.579984+7 3.630781-5 3.607284+7 3.650000-5 3.617637+7 3.715352-5 3.652660+7 3.730000-5 3.659411+7 3.801894-5 3.683519+7 3.850000-5 3.696141+7 3.900000-5 3.702727+7 3.950000-5 3.705404+7 4.000000-5 3.701456+7 4.070000-5 3.689811+7 4.073803-5 3.688648+7 4.120975-5 3.674349+7 4.180000-5 3.651239+7 4.229500-5 3.625297+7 4.300000-5 3.582665+7 4.350000-5 3.546201+7 4.365158-5 3.533876+7 4.415704-5 3.493387+7 4.466836-5 3.447141+7 4.518559-5 3.397275+7 4.570882-5 3.342505+7 4.623810-5 3.284707+7 4.677351-5 3.222514+7 4.680000-5 3.219486+7 4.731513-5 3.157725+7 4.800000-5 3.071841+7 4.850000-5 3.008172+7 4.900000-5 2.942138+7 4.954502-5 2.869510+7 5.011872-5 2.791233+7 5.069907-5 2.711691+7 5.080000-5 2.698182+7 5.150000-5 2.602006+7 5.190000-5 2.547037+7 5.270000-5 2.436881+7 5.308844-5 2.383870+7 5.415200-5 2.240151+7 5.450000-5 2.194099+7 5.500000-5 2.127414+7 5.559043-5 2.052014+7 5.580000-5 2.025350+7 5.688529-5 1.889330+7 5.730000-5 1.839149+7 5.850000-5 1.698045+7 5.900000-5 1.641789+7 6.000000-5 1.532256+7 6.025596-5 1.505694+7 6.070000-5 1.459915+7 6.165950-5 1.363662+7 6.237348-5 1.295631+7 6.314000-5 1.225133+7 6.314000-5 1.395513+7 6.350000-5 1.363598+7 6.382635-5 1.334884+7 6.400000-5 1.319619+7 6.460000-5 1.267218+7 6.531306-5 1.207443+7 6.550000-5 1.192061+7 6.580000-5 1.167554+7 6.650000-5 1.111397+7 6.730000-5 1.050587+7 6.760830-5 1.027837+7 6.770000-5 1.021021+7 6.841000-5 9.695769+6 6.841000-5 1.045793+7 6.900000-5 1.005925+7 6.918310-5 9.938222+6 6.920000-5 9.926967+6 6.950000-5 9.728214+6 6.960000-5 9.661506+6 7.030000-5 9.206709+6 7.079458-5 8.899127+6 7.110000-5 8.711845+6 7.150000-5 8.472237+6 7.190000-5 8.235505+6 7.244360-5 7.924681+6 7.300000-5 7.617201+6 7.350000-5 7.350296+6 7.413102-5 7.023854+6 7.450000-5 6.840423+6 7.500000-5 6.597593+6 7.585776-5 6.196996+6 7.650000-5 5.915795+6 7.673615-5 5.814941+6 7.852356-5 5.101666+6 8.035261-5 4.460111+6 8.080000-5 4.314569+6 8.230000-5 3.865668+6 8.317638-5 3.623192+6 8.400000-5 3.413342+6 8.450000-5 3.292926+6 8.650000-5 2.850075+6 8.900000-5 2.388903+6 8.912509-5 2.367899+6 9.015711-5 2.204661+6 9.150000-5 2.013509+6 9.332543-5 1.784726+6 9.400000-5 1.709302+6 9.440609-5 1.666471+6 9.500000-5 1.606050+6 9.660509-5 1.456743+6 9.800000-5 1.344484+6 9.900000-5 1.271510+6 9.980000-5 1.218070+6 1.000000-4 1.205403+6 1.011579-4 1.136386+6 1.016100-4 1.111275+6 1.016100-4 1.273940+6 1.020000-4 1.253483+6 1.030000-4 1.205603+6 1.035142-4 1.182576+6 1.036400-4 1.177143+6 1.040000-4 1.162175+6 1.050000-4 1.122052+6 1.059254-4 1.089404+6 1.060000-4 1.086855+6 1.065000-4 1.070132+6 1.075000-4 1.039639+6 1.080000-4 1.025409+6 1.085000-4 1.012275+6 1.090000-4 9.998954+5 1.095000-4 9.878937+5 1.096478-4 9.845066+5 1.109175-4 9.575018+5 1.110000-4 9.559301+5 1.120000-4 9.379867+5 1.122018-4 9.346199+5 1.131000-4 9.207426+5 1.135011-4 9.152308+5 1.143000-4 9.043007+5 1.150000-4 8.959241+5 1.155000-4 8.905108+5 1.161449-4 8.844256+5 1.165000-4 8.811112+5 1.175000-4 8.729782+5 1.180000-4 8.695612+5 1.188502-4 8.640967+5 1.190000-4 8.633291+5 1.202264-4 8.577704+5 1.216186-4 8.531789+5 1.230269-4 8.503356+5 1.240000-4 8.493114+5 1.245000-4 8.490429+5 1.250400-4 8.491816+5 1.260000-4 8.497176+5 1.273503-4 8.515600+5 1.280000-4 8.525048+5 1.288250-4 8.543393+5 1.300000-4 8.573484+5 1.303167-4 8.582936+5 1.315000-4 8.622388+5 1.333521-4 8.691503+5 1.337300-4 8.706854+5 1.364583-4 8.827235+5 1.380384-4 8.905206+5 1.412538-4 9.075412+5 1.430000-4 9.168243+5 1.450000-4 9.278285+5 1.462177-4 9.343238+5 1.480000-4 9.443517+5 1.496236-4 9.533856+5 1.500000-4 9.554064+5 1.520000-4 9.660950+5 1.540000-4 9.765855+5 1.566751-4 9.899512+5 1.580000-4 9.963717+5 1.584893-4 9.988091+5 1.603245-4 1.007374+6 1.611900-4 1.011361+6 1.621810-4 1.015708+6 1.659587-4 1.031169+6 1.670000-4 1.035249+6 1.698244-4 1.045286+6 1.705000-4 1.047658+6 1.720000-4 1.052561+6 1.760000-4 1.064200+6 1.780000-4 1.069561+6 1.800000-4 1.074153+6 1.820000-4 1.078352+6 1.840772-4 1.082232+6 1.883649-4 1.088669+6 1.905461-4 1.091457+6 1.950000-4 1.095227+6 1.980000-4 1.096814+6 2.018366-4 1.097780+6 2.041738-4 1.097701+6 2.089296-4 1.096283+6 2.113489-4 1.095205+6 2.120000-4 1.094853+6 2.162719-4 1.091374+6 2.187762-4 1.088784+6 2.220000-4 1.085411+6 2.260000-4 1.080285+6 2.300000-4 1.074610+6 2.317395-4 1.072029+6 2.371374-4 1.062869+6 2.426610-4 1.052496+6 2.483133-4 1.041119+6 2.511886-4 1.035081+6 2.540973-4 1.028853+6 2.570396-4 1.022051+6 2.580000-4 1.019858+6 2.600160-4 1.015230+6 2.630268-4 1.008048+6 2.660725-4 1.000821+6 2.730000-4 9.837522+5 2.786121-4 9.693647+5 2.800000-4 9.658427+5 2.884032-4 9.436860+5 2.900000-4 9.394484+5 2.951209-4 9.259954+5 3.000000-4 9.127014+5 3.019952-4 9.073298+5 3.090295-4 8.882982+5 3.162278-4 8.687381+5 3.200000-4 8.587451+5 3.235937-4 8.489852+5 3.300000-4 8.319782+5 3.388442-4 8.086820+5 3.467369-4 7.884705+5 3.490000-4 7.827278+5 3.507519-4 7.781941+5 3.600000-4 7.548835+5 3.630781-4 7.472361+5 3.715352-4 7.269408+5 3.765500-4 7.150256+5 3.765500-4 7.982618+5 3.784000-4 7.946142+5 3.797000-4 7.924597+5 3.801894-4 7.918678+5 3.809000-4 7.909976+5 3.820000-4 7.902933+5 3.828000-4 7.902853+5 3.829900-4 7.903915+5 3.829900-4 8.502359+5 3.835000-4 8.504702+5 3.843000-4 8.513865+5 3.845918-4 8.519416+5 3.849000-4 8.525335+5 3.850000-4 8.527547+5 3.858000-4 8.551980+5 3.860000-4 8.559982+5 3.865000-4 8.581907+5 3.870000-4 8.609181+5 3.873000-4 8.627161+5 3.880000-4 8.677563+5 3.888000-4 8.750532+5 3.890451-4 8.776396+5 3.895000-4 8.828265+5 3.900000-4 8.892959+5 3.903000-4 8.934804+5 3.907000-4 8.996544+5 3.910000-4 9.046033+5 3.915000-4 9.137674+5 3.921000-4 9.257958+5 3.923000-4 9.302419+5 3.930000-4 9.470516+5 3.933000-4 9.548616+5 3.938000-4 9.691203+5 3.945000-4 9.910332+5 3.948000-4 1.001185+6 3.952000-4 1.015654+6 3.960000-4 1.047364+6 3.967000-4 1.078273+6 3.975000-4 1.117566+6 3.981072-4 1.150562+6 3.985000-4 1.173242+6 3.995000-4 1.235504+6 4.000000-4 1.269970+6 4.007000-4 1.320352+6 4.011000-4 1.351376+6 4.023000-4 1.450286+6 4.027170-4 1.486454+6 4.035000-4 1.559203+6 4.045000-4 1.657377+6 4.050000-4 1.708447+6 4.054000-4 1.750878+6 4.065000-4 1.871225+6 4.073803-4 1.970412+6 4.077000-4 2.008453+6 4.085000-4 2.102391+6 4.090000-4 2.161830+6 4.095000-4 2.222560+6 4.101300-4 2.298968+6 4.104000-4 2.332191+6 4.111000-4 2.417187+6 4.115000-4 2.466620+6 4.122000-4 2.551733+6 4.126000-4 2.600900+6 4.132000-4 2.672513+6 4.140000-4 2.769757+6 4.150000-4 2.887191+6 4.151500-4 2.904337+6 4.161000-4 3.012189+6 4.165000-4 3.057463+6 4.168694-4 3.097093+6 4.173000-4 3.144159+6 4.180000-4 3.219344+6 4.185000-4 3.270740+6 4.195000-4 3.372381+6 4.205000-4 3.466645+6 4.211400-4 3.525711+6 4.216965-4 3.574091+6 4.220000-4 3.600821+6 4.230000-4 3.685112+6 4.235000-4 3.724636+6 4.250000-4 3.838279+6 4.250400-4 3.841088+6 4.265795-4 3.943781+6 4.273700-4 3.994424+6 4.280000-4 4.030924+6 4.295000-4 4.113639+6 4.300000-4 4.139632+6 4.315191-4 4.209734+6 4.328000-4 4.264319+6 4.335000-4 4.290371+6 4.356900-4 4.364083+6 4.360000-4 4.372954+6 4.365158-4 4.385856+6 4.380000-4 4.423186+6 4.390000-4 4.444954+6 4.410000-4 4.479464+6 4.415704-4 4.487271+6 4.420000-4 4.493156+6 4.440000-4 4.513329+6 4.450000-4 4.520436+6 4.470000-4 4.528225+6 4.485000-4 4.530044+6 4.502400-4 4.526859+6 4.518559-4 4.519481+6 4.530000-4 4.514241+6 4.550000-4 4.499360+6 4.600000-4 4.450536+6 4.623810-4 4.418777+6 4.650000-4 4.384272+6 4.677351-4 4.345415+6 4.700000-4 4.313613+6 4.740000-4 4.256436+6 4.841724-4 4.111753+6 4.954502-4 3.960086+6 5.011872-4 3.886332+6 5.248075-4 3.603946+6 5.326300-4 3.512884+6 5.370318-4 3.461549+6 5.500000-4 3.316738+6 5.559043-4 3.251927+6 5.623413-4 3.181971+6 5.685300-4 3.116842+6 5.685300-4 3.317254+6 5.688529-4 3.320650+6 5.691000-4 3.323397+6 5.695000-4 3.327281+6 5.700000-4 3.331334+6 5.707000-4 3.335776+6 5.715000-4 3.339496+6 5.723000-4 3.341940+6 5.730000-4 3.343274+6 5.740000-4 3.344070+6 5.750000-4 3.343749+6 5.765000-4 3.341573+6 5.780000-4 3.337751+6 5.795000-4 3.332567+6 5.810000-4 3.326224+6 5.821032-4 3.320653+6 5.830000-4 3.316206+6 5.850000-4 3.304643+6 5.870000-4 3.291772+6 5.900000-4 3.270411+6 5.930000-4 3.247072+6 5.960000-4 3.222237+6 6.000000-4 3.187516+6 6.001900-4 3.185791+6 6.001900-4 3.265064+6 6.009000-4 3.264661+6 6.013000-4 3.264265+6 6.018000-4 3.263521+6 6.025596-4 3.261872+6 6.032000-4 3.260065+6 6.040000-4 3.257417+6 6.050000-4 3.253578+6 6.060000-4 3.248865+6 6.070000-4 3.243744+6 6.085000-4 3.235469+6 6.100000-4 3.226591+6 6.115000-4 3.216851+6 6.135000-4 3.203189+6 6.150000-4 3.192524+6 6.165950-4 3.180783+6 6.170000-4 3.177817+6 6.190000-4 3.162628+6 6.200000-4 3.154757+6 6.220000-4 3.138762+6 6.237348-4 3.124452+6 6.250000-4 3.114087+6 6.285000-4 3.084779+6 6.309573-4 3.063892+6 6.330000-4 3.046693+6 6.400000-4 2.987456+6 6.456542-4 2.940394+6 6.531306-4 2.878076+6 6.606934-4 2.815875+6 6.683439-4 2.755104+6 6.839116-4 2.637553+6 6.850000-4 2.629615+6 7.000000-4 2.522151+6 7.038000-4 2.495456+6 7.038000-4 2.603526+6 7.244360-4 2.462574+6 7.300000-4 2.426479+6 7.328245-4 2.408035+6 7.413102-4 2.353865+6 7.500000-4 2.299580+6 7.585776-4 2.247893+6 7.673615-4 2.196795+6 7.943282-4 2.050813+6 8.000000-4 2.021826+6 8.035261-4 2.003831+6 8.128305-4 1.957382+6 8.317638-4 1.866436+6 8.511380-4 1.780020+6 8.609938-4 1.738018+6 8.709636-4 1.696290+6 8.810489-4 1.655125+6 8.912509-4 1.614993+6 9.015711-4 1.575867+6 9.120108-4 1.537739+6 9.200000-4 1.509419+6 9.225714-4 1.500431+6 9.440609-4 1.427486+6 9.500000-4 1.408285+6 9.549926-4 1.392321+6 9.700000-4 1.345954+6 9.772372-4 1.324419+6 9.850000-4 1.301880+6 9.885531-4 1.291727+6 1.000000-3 1.259727+6 1.023293-3 1.197768+6 1.047129-3 1.138401+6 1.059254-3 1.109612+6 1.071519-3 1.081481+6 1.083927-3 1.053883+6 1.110000-3 9.991681+5 1.130000-3 9.595559+5 1.148154-3 9.254921+5 1.174898-3 8.782213+5 1.190000-3 8.529916+5 1.202264-3 8.332884+5 1.216186-3 8.117094+5 1.230269-3 7.907258+5 1.244515-3 7.702693+5 1.273503-3 7.305145+5 1.288250-3 7.114572+5 1.333521-3 6.566550+5 1.350000-3 6.382004+5 1.380384-3 6.060169+5 1.400000-3 5.863379+5 1.412538-3 5.741628+5 1.462177-3 5.291908+5 1.479108-3 5.149932+5 1.500000-3 4.982196+5 1.513561-3 4.877574+5 1.548817-3 4.620366+5 1.566751-3 4.496206+5 1.570000-3 4.474239+5 1.584893-3 4.374929+5 1.621810-3 4.140470+5 1.640590-3 4.027888+5 1.698244-3 3.708822+5 1.717908-3 3.608468+5 1.757924-3 3.413504+5 1.778279-3 3.319620+5 1.798871-3 3.228083+5 1.819701-3 3.139124+5 1.883649-3 2.887192+5 1.905461-3 2.808040+5 1.927525-3 2.730657+5 1.972423-3 2.581472+5 2.018366-3 2.439795+5 2.041738-3 2.371992+5 2.070000-3 2.293556+5 2.113489-3 2.179814+5 2.137962-3 2.118930+5 2.162719-3 2.059800+5 2.187762-3 2.002087+5 2.238721-3 1.890841+5 2.290868-3 1.786002+5 2.371374-3 1.639955+5 2.398833-3 1.593779+5 2.400000-3 1.591859+5 2.426610-3 1.548650+5 2.454709-3 1.504674+5 2.483133-3 1.461853+5 2.570396-3 1.340825+5 2.630268-3 1.265968+5 2.691535-3 1.194970+5 2.722701-3 1.160912+5 2.754229-3 1.127679+5 2.851018-3 1.033280+5 2.884032-3 1.003680+5 2.917427-3 9.749412+4 2.951209-3 9.470658+4 3.000000-3 9.085234+4 3.054921-3 8.676398+4 3.090295-3 8.426650+4 3.235937-3 7.494673+4 3.273407-3 7.278227+4 3.349654-3 6.861875+4 3.350000-3 6.860057+4 3.350000-3 2.285953+5 3.388442-3 2.224774+5 3.427678-3 2.164725+5 3.470000-3 2.102444+5 3.507519-3 2.041507+5 3.528100-3 2.009087+5 3.528100-3 2.757434+5 3.550000-3 2.714356+5 3.620000-3 2.591684+5 3.630781-3 2.572713+5 3.650000-3 2.539373+5 3.672823-3 2.497661+5 3.690000-3 2.466842+5 3.758374-3 2.354266+5 3.783400-3 2.314828+5 3.783400-3 2.658505+5 3.801894-3 2.627339+5 3.845918-3 2.554269+5 3.935501-3 2.414140+5 4.000000-3 2.318070+5 4.073803-3 2.214676+5 4.080000-3 2.206294+5 4.120975-3 2.151772+5 4.168694-3 2.090593+5 4.216965-3 2.030535+5 4.265795-3 1.972207+5 4.315191-3 1.915012+5 4.400000-3 1.822165+5 4.500000-3 1.720653+5 4.518559-3 1.702617+5 4.570882-3 1.653165+5 4.623810-3 1.605111+5 4.731513-3 1.512603+5 4.786301-3 1.468388+5 4.841724-3 1.425498+5 4.897788-3 1.383893+5 4.900000-3 1.382286+5 5.011872-3 1.304135+5 5.128614-3 1.229046+5 5.188000-3 1.193180+5 5.248075-3 1.158326+5 5.308844-3 1.124510+5 5.370318-3 1.091482+5 5.432503-3 1.059427+5 5.500000-3 1.026119+5 5.559043-3 9.980719+4 5.688529-3 9.403910+4 5.888437-3 8.595596+4 5.956621-3 8.341928+4 6.000000-3 8.185993+4 6.025596-3 8.095847+4 6.095369-3 7.855306+4 6.165950-3 7.620963+4 6.237348-3 7.393798+4 6.309573-3 7.173588+4 6.382635-3 6.960092+4 6.456542-3 6.752978+4 6.500000-3 6.634773+4 6.683439-3 6.166455+4 6.760830-3 5.980275+4 6.800000-3 5.889001+4 6.998420-3 5.455125+4 7.000000-3 5.451853+4 7.161434-3 5.131513+4 7.328245-3 4.825406+4 7.413102-3 4.679430+4 7.500000-3 4.536293+4 7.585776-3 4.400864+4 7.673615-3 4.267361+4 7.762471-3 4.138005+4 7.852356-3 4.012574+4 7.943282-3 3.890194+4 8.128305-3 3.656801+4 8.317638-3 3.437754+4 8.511380-3 3.232098+4 8.609938-3 3.133949+4 8.709636-3 3.037972+4 8.810489-3 2.944676+4 8.912509-3 2.854178+4 9.015711-3 2.766067+4 9.225714-3 2.598142+4 9.440609-3 2.440676+4 9.549926-3 2.365648+4 9.885531-3 2.154281+4 1.000000-2 2.088207+4 1.011579-2 2.024171+4 1.023293-2 1.961679+4 1.047129-2 1.842467+4 1.071519-2 1.729525+4 1.080000-2 1.692505+4 1.122018-2 1.524307+4 1.148154-2 1.431232+4 1.161449-2 1.386883+4 1.174898-2 1.343935+4 1.188502-2 1.302215+4 1.190000-2 1.297731+4 1.202264-2 1.261611+4 1.230269-2 1.184132+4 1.244515-2 1.146998+4 1.273503-2 1.076284+4 1.288250-2 1.042617+4 1.303167-2 1.010034+4 1.333521-2 9.479429+3 1.364583-2 8.894279+3 1.400000-2 8.286381+3 1.412538-2 8.084269+3 1.428894-2 7.829021+3 1.462177-2 7.343037+3 1.479108-2 7.111756+3 1.496236-2 6.887950+3 1.531087-2 6.461613+3 1.548817-2 6.258709+3 1.566751-2 6.060848+3 1.603245-2 5.684114+3 1.621810-2 5.504804+3 1.640590-2 5.331140+3 1.659587-2 5.162303+3 1.678804-2 4.998753+3 1.698244-2 4.840495+3 1.717908-2 4.686906+3 1.730000-2 4.595794+3 1.778279-2 4.255318+3 1.798871-2 4.120698+3 1.819701-2 3.990439+3 1.862087-2 3.740579+3 1.883649-2 3.621616+3 1.927525-2 3.395143+3 1.949845-2 3.286924+3 1.972423-2 3.182120+3 2.018366-2 2.982679+3 2.041738-2 2.887766+3 2.065380-2 2.795715+3 2.089296-2 2.706674+3 2.113489-2 2.620538+3 2.162719-2 2.455420+3 2.213095-2 2.300831+3 2.238721-2 2.227297+3 2.264644-2 2.156160+3 2.290868-2 2.087002+3 2.344229-2 1.955432+3 2.371374-2 1.892841+3 2.426610-2 1.773750+3 2.454709-2 1.716712+3 2.511886-2 1.607974+3 2.540973-2 1.556239+3 2.548900-2 1.542537+3 2.548900-2 9.806796+3 2.600160-2 9.359981+3 2.610000-2 9.277569+3 2.660725-2 8.803702+3 2.670000-2 8.720647+3 2.691535-2 8.546543+3 2.722701-2 8.302973+3 2.754229-2 8.066391+3 2.786121-2 7.822724+3 2.851018-2 7.356810+3 2.917427-2 6.918765+3 2.951209-2 6.709649+3 3.019952-2 6.317370+3 3.054921-2 6.129963+3 3.126079-2 5.771731+3 3.198895-2 5.434460+3 3.235937-2 5.273126+3 3.273407-2 5.116536+3 3.311311-2 4.964610+3 3.388442-2 4.666761+3 3.427678-2 4.524636+3 3.548134-2 4.123772+3 3.589219-2 3.998237+3 3.672823-2 3.758493+3 3.715352-2 3.644065+3 3.845918-2 3.320963+3 3.935501-2 3.117936+3 4.073803-2 2.836399+3 4.120975-2 2.748334+3 4.168694-2 2.663011+3 4.216965-2 2.580347+3 4.265795-2 2.500256+3 4.315191-2 2.422656+3 4.518559-2 2.135294+3 4.570882-2 2.068951+3 4.841724-2 1.766991+3 4.897788-2 1.712108+3 5.011872-2 1.605533+3 5.069907-2 1.554767+3 5.128614-2 1.505548+3 5.370318-2 1.323767+3 6.025596-2 9.598100+2 6.095369-2 9.294162+2 6.165950-2 8.995392+2 6.456542-2 7.893314+2 7.161434-2 5.883062+2 7.328245-2 5.510793+2 7.413102-2 5.333568+2 7.498942-2 5.162045+2 7.673615-2 4.835400+2 7.852356-2 4.525930+2 8.035261-2 4.236296+2 8.609938-2 3.474075+2 8.709636-2 3.361116+2 8.912509-2 3.145852+2 9.225714-2 2.848507+2 9.332543-2 2.755782+2 9.549926-2 2.579303+2 9.660509-2 2.495353+2 1.035142-1 2.042129+2 1.083927-1 1.786766+2 1.096478-1 1.728086+2 1.109175-1 1.671287+2 1.122019-1 1.616348+2 1.148154-1 1.511838+2 1.230269-1 1.237168+2 1.244515-1 1.196520+2 1.288250-1 1.082422+2 1.303167-1 1.046865+2 1.318257-1 1.012476+2 1.348963-1 9.470532+1 1.496236-1 7.012349+1 1.500000-1 6.961444+1 1.548817-1 6.344156+1 1.621810-1 5.551309+1 1.698244-1 4.857703+1 1.757924-1 4.395027+1 1.778279-1 4.250822+1 1.798871-1 4.111364+1 1.840772-1 3.846047+1 1.862087-1 3.719884+1 1.905461-1 3.479851+1 1.927525-1 3.365726+1 1.972423-1 3.148587+1 2.000000-1 3.025553+1 2.041738-1 2.851375+1 2.089296-1 2.669027+1 2.113489-1 2.582275+1 2.137962-1 2.498349+1 2.162719-1 2.417150+1 2.187762-1 2.338593+1 2.213095-1 2.262644+1 2.238721-1 2.189173+1 2.317395-1 1.982769+1 2.344229-1 1.918400+1 2.371374-1 1.856121+1 2.398833-1 1.795881+1 2.426610-1 1.737599+1 2.454709-1 1.681914+1 2.483133-1 1.628016+1 2.511886-1 1.575846+1 2.540973-1 1.525347+1 2.570396-1 1.476475+1 2.600160-1 1.429169+1 2.660725-1 1.339073+1 2.691535-1 1.296238+1 2.722701-1 1.254776+1 2.754229-1 1.214639+1 2.786121-1 1.175788+1 2.818383-1 1.138181+1 2.851018-1 1.101777+1 2.884032-1 1.067185+1 2.917427-1 1.033685+1 3.000000-1 9.567869+0 3.019952-1 9.393817+0 3.054921-1 9.099012+0 3.090295-1 8.813461+0 3.126079-1 8.536873+0 3.162278-1 8.269397+0 3.235937-1 7.759343+0 3.311311-1 7.280914+0 3.349654-1 7.052960+0 3.388442-1 6.836003+0 3.427678-1 6.625728+0 3.507519-1 6.224388+0 3.548134-1 6.032937+0 3.589219-1 5.847378+0 3.630781-1 5.667872+0 3.672823-1 5.493908+0 3.715352-1 5.325289+0 3.801894-1 5.003420+0 3.845918-1 4.852772+0 3.935501-1 4.564973+0 3.981072-1 4.427569+0 4.000000-1 4.372171+0 4.027170-1 4.294305+0 4.073803-1 4.165072+0 4.168694-1 3.918634+0 4.216965-1 3.800941+0 4.265795-1 3.686783+0 4.315191-1 3.578320+0 4.365158-1 3.473115+0 4.415705-1 3.371011+0 4.466836-1 3.271916+0 4.570882-1 3.082407+0 4.623810-1 2.992009+0 4.677351-1 2.904262+0 4.731513-1 2.819088+0 4.786301-1 2.736430+0 4.841724-1 2.657995+0 4.897788-1 2.581847+0 4.954502-1 2.507887+0 5.000000-1 2.450683+0 5.011872-1 2.436057+0 5.128614-1 2.298511+0 5.188000-1 2.232840+0 5.308844-1 2.107096+0 5.370318-1 2.048316+0 5.432503-1 1.991206+0 5.495409-1 1.935692+0 5.623413-1 1.829284+0 5.688529-1 1.778304+0 5.821032-1 1.680799+0 5.888437-1 1.634071+0 5.956621-1 1.589795+0 6.000000-1 1.562509+0 6.025596-1 1.546728+0 6.095369-1 1.504846+0 6.165950-1 1.464106+0 6.309573-1 1.385920+0 6.382635-1 1.348505+0 6.531306-1 1.276681+0 6.606935-1 1.243235+0 6.683439-1 1.210667+0 6.760830-1 1.178978+0 6.839117-1 1.148124+0 6.918310-1 1.118078+0 6.998420-1 1.088818+0 7.161434-1 1.032733+0 7.244360-1 1.006502+0 7.328245-1 9.809419-1 7.413102-1 9.560319-1 7.498942-1 9.317751-1 7.673615-1 8.850927-1 7.762471-1 8.626371-1 7.943282-1 8.195455-1 8.000000-1 8.070254-1 8.035261-1 7.993822-1 8.128305-1 7.797151-1 8.222427-1 7.605360-1 8.317638-1 7.418389-1 8.413951-1 7.236035-1 8.511380-1 7.058163-1 8.609938-1 6.885201-1 8.912509-1 6.391347-1 9.015711-1 6.238613-1 9.120108-1 6.089644-1 9.225714-1 5.944266-1 9.332543-1 5.802360-1 9.440609-1 5.664293-1 9.549926-1 5.529513-1 9.660509-1 5.397941-1 9.772372-1 5.269581-1 9.885531-1 5.148871-1 1.000000+0 5.031001-1 1.011579+0 4.915845-1 1.023293+0 4.803317-1 1.035142+0 4.693663-1 1.047129+0 4.586504-1 1.071519+0 4.379488-1 1.083927+0 4.279509-1 1.096478+0 4.181819-1 1.109175+0 4.086380-1 1.122018+0 3.995496-1 1.135011+0 3.906647-1 1.148154+0 3.819777-1 1.161449+0 3.734911-1 1.174898+0 3.652262-1 1.188600+0 3.570906-1 1.202264+0 3.492479-1 1.216186+0 3.415224-1 1.230269+0 3.339698-1 1.250000+0 3.241160-1 1.258925+0 3.198069-1 1.273503+0 3.129549-1 1.288250+0 3.062510-1 1.303167+0 2.997081-1 1.318257+0 2.933050-1 1.333521+0 2.870390-1 1.348963+0 2.809063-1 1.364583+0 2.749063-1 1.380384+0 2.692145-1 1.412538+0 2.581819-1 1.428894+0 2.528367-1 1.462177+0 2.424848-1 1.479108+0 2.374868-1 1.513561+0 2.277977-1 1.531087+0 2.231024-1 1.548817+0 2.186530-1 1.566751+0 2.142926-1 1.621810+0 2.017357-1 1.640590+0 1.977287-1 1.678804+0 1.899524-1 1.698244+0 1.861798-1 1.717908+0 1.824827-1 1.737801+0 1.788589-1 1.757924+0 1.754104-1 1.778279+0 1.720291-1 1.840772+0 1.622777-1 1.862087+0 1.591604-1 1.883649+0 1.561030-1 1.927525+0 1.501635-1 1.949845+0 1.472791-1 1.972423+0 1.444506-1 2.000000+0 1.411116-1 2.018366+0 1.390183-1 2.041738+0 1.364263-1 2.044000+0 1.361796-1 2.065380+0 1.338831-1 2.089296+0 1.313890-1 2.113489+0 1.289414-1 2.137962+0 1.265484-1 2.162719+0 1.241999-1 2.187762+0 1.218951-1 2.213095+0 1.196335-1 2.238721+0 1.174139-1 2.264644+0 1.153091-1 2.290868+0 1.132425-1 2.317395+0 1.112133-1 2.344229+0 1.092219-1 2.371374+0 1.072661-1 2.398833+0 1.053525-1 2.426610+0 1.034731-1 2.454709+0 1.016272-1 2.483133+0 9.981469-2 2.511886+0 9.803449-2 2.540973+0 9.634186-2 2.570396+0 9.467886-2 2.600160+0 9.304454-2 2.630268+0 9.143869-2 2.660725+0 8.986159-2 2.691535+0 8.831169-2 2.722701+0 8.679381-2 2.754229+0 8.530204-2 2.786121+0 8.383602-2 2.818383+0 8.239540-2 2.851018+0 8.097958-2 2.884032+0 7.962886-2 2.951209+0 7.699522-2 2.985383+0 7.571121-2 3.019952+0 7.444878-2 3.090295+0 7.198803-2 3.126079+0 7.078832-2 3.198895+0 6.845547-2 3.235937+0 6.731808-2 3.273407+0 6.619965-2 3.311311+0 6.509998-2 3.349654+0 6.401858-2 3.427678+0 6.197368-2 3.467369+0 6.097585-2 3.507519+0 5.999423-2 3.589219+0 5.807929-2 3.630781+0 5.714484-2 3.715352+0 5.532679-2 3.758374+0 5.443960-2 3.801894+0 5.356667-2 3.845918+0 5.270788-2 3.890451+0 5.186288-2 4.000000+0 4.993842-2 4.027170+0 4.948020-2 4.073803+0 4.871064-2 4.216965+0 4.647434-2 4.265795+0 4.575196-2 4.365158+0 4.434510-2 4.415704+0 4.365801-2 4.466836+0 4.298158-2 4.518559+0 4.231576-2 4.570882+0 4.166023-2 4.677351+0 4.041701-2 4.731513+0 3.980937-2 4.786301+0 3.921095-2 4.954502+0 3.747011-2 5.011872+0 3.690719-2 5.188000+0 3.527355-2 5.248075+0 3.474525-2 5.308844+0 3.422489-2 5.370318+0 3.371240-2 5.432503+0 3.320759-2 5.559043+0 3.224874-2 5.623413+0 3.177976-2 5.688529+0 3.131765-2 5.888437+0 2.997198-2 6.000000+0 2.926513-2 6.237348+0 2.786058-2 6.309573+0 2.745691-2 6.382635+0 2.705909-2 6.456542+0 2.666710-2 6.531306+0 2.628079-2 6.683439+0 2.554570-2 6.760830+0 2.518590-2 6.839116+0 2.483121-2 7.079458+0 2.379739-2 7.244360+0 2.313221-2 7.585776+0 2.186066-2 7.673615+0 2.155386-2 7.762471+0 2.125137-2 7.852356+0 2.095318-2 7.943282+0 2.065916-2 8.128305+0 2.009806-2 8.222427+0 1.982325-2 8.317638+0 1.955220-2 8.413951+0 1.928489-2 8.709636+0 1.850508-2 8.912509+0 1.800281-2 9.332543+0 1.704139-2 9.440609+0 1.680918-2 9.549926+0 1.658014-2 9.660509+0 1.635425-2 9.772372+0 1.613144-2 1.011579+1 1.549762-2 1.023293+1 1.529192-2 1.047129+1 1.488871-2 1.083927+1 1.430407-2 1.109175+1 1.392712-2 1.174898+1 1.302983-2 1.188502+1 1.285745-2 1.202264+1 1.268735-2 1.216186+1 1.251950-2 1.230269+1 1.235389-2 1.288250+1 1.172484-2 1.318257+1 1.142244-2 1.380384+1 1.084089-2 1.428894+1 1.042445-2 1.445440+1 1.028922-2 1.462177+1 1.015611-2 1.479108+1 1.002472-2 1.531087+1 9.648496-3 1.640590+1 8.937866-3 1.819701+1 7.968921-3 1.905461+1 7.572856-3 1.927525+1 7.476955-3 1.949845+1 7.382471-3 1.972423+1 7.291103-3 2.041738+1 7.023725-3 2.200000+1 6.478814-3 2.454709+1 5.754854-3 2.630268+1 5.340688-3 2.660725+1 5.274619-3 2.691535+1 5.209490-3 2.722701+1 5.146334-3 2.754229+1 5.083943-3 2.851018+1 4.901277-3 3.090295+1 4.500173-3 3.507519+1 3.935178-3 3.801894+1 3.613261-3 3.845918+1 3.569475-3 3.890451+1 3.526298-3 3.935501+1 3.484341-3 4.000000+1 3.425949-3 4.168694+1 3.281934-3 4.570882+1 2.982253-3 5.370318+1 2.522170-3 6.025596+1 2.237743-3 6.095369+1 2.211129-3 6.165950+1 2.184870-3 6.237348+1 2.158926-3 6.309573+1 2.133645-3 6.382635+1 2.108659-3 6.683439+1 2.011611-3 7.328245+1 1.830708-3 9.120108+1 1.463616-3 1.122018+2 1.184048-3 1.148154+2 1.156487-3 1.161449+2 1.142963-3 1.174898+2 1.129597-3 1.188502+2 1.116388-3 1.216186+2 1.090668-3 1.288250+2 1.028932-3 1.428894+2 9.264798-4 1.819701+2 7.253611-4 2.238721+2 5.881228-4 2.290868+2 5.745761-4 2.317395+2 5.679240-4 2.344229+2 5.613491-4 2.371374+2 5.548505-4 2.426610+2 5.421593-4 2.570396+2 5.116866-4 2.851018+2 4.610872-4 3.630781+2 3.616341-4 4.466836+2 2.936548-4 4.570882+2 2.869388-4 9.225714+2 1.417231-4 9.332543+2 1.400937-4 9.440609+2 1.384831-4 9.660509+2 1.353287-4 1.023293+3 1.277537-4 1.135011+3 1.151711-4 1.445440+3 9.042222-5 1.778279+3 7.348877-5 1.819701+3 7.181495-5 2.917427+4 4.474432-6 2.951209+4 4.423194-6 2.985383+4 4.372542-6 5.956621+4 2.190873-6 6.095369+4 2.140998-6 1.000000+5 1.304961-6 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.890000-6 6.890000-6 1.186000-5 6.890000-6 1.186000-5 1.180440-5 1.247000-5 1.182374-5 1.247000-5 1.207547-5 6.314000-5 1.210597-5 6.314000-5 1.356692-5 6.650000-5 1.380749-5 6.841000-5 1.391245-5 6.841000-5 1.467531-5 7.300000-5 1.511491-5 8.080000-5 1.582873-5 8.450000-5 1.622671-5 8.912509-5 1.681176-5 9.500000-5 1.769198-5 1.016100-4 1.874836-5 1.016100-4 2.091656-5 1.050000-4 2.168945-5 1.080000-4 2.224897-5 1.110000-4 2.267266-5 1.143000-4 2.297616-5 1.175000-4 2.311361-5 1.216186-4 2.310773-5 1.260000-4 2.292889-5 1.337300-4 2.239442-5 1.480000-4 2.130422-5 1.584893-4 2.064763-5 1.698244-4 2.010454-5 1.820000-4 1.966622-5 1.980000-4 1.925355-5 2.162719-4 1.893565-5 2.371374-4 1.869741-5 2.660725-4 1.851328-5 3.090295-4 1.842099-5 3.765500-4 1.846537-5 3.765500-4 2.017810-5 3.809000-4 2.025927-5 3.829900-4 2.035075-5 3.829900-4 2.139135-5 3.858000-4 2.159685-5 3.880000-4 2.188786-5 3.900000-4 2.228966-5 3.921000-4 2.287373-5 3.938000-4 2.347838-5 3.960000-4 2.441202-5 3.995000-4 2.612035-5 4.027170-4 2.769163-5 4.054000-4 2.884536-5 4.077000-4 2.967215-5 4.104000-4 3.045091-5 4.132000-4 3.106631-5 4.168694-4 3.164687-5 4.216965-4 3.214190-5 4.280000-4 3.252163-5 4.380000-4 3.281866-5 4.550000-4 3.297746-5 5.685300-4 3.298910-5 5.685300-4 3.453444-5 5.723000-4 3.500752-5 5.780000-4 3.541492-5 5.870000-4 3.576679-5 6.001900-4 3.597762-5 6.001900-4 3.655452-5 6.070000-4 3.689254-5 6.220000-4 3.721509-5 7.038000-4 3.778721-5 7.038000-4 3.946869-5 9.885531-4 4.166680-5 1.288250-3 4.355318-5 1.621810-3 4.525166-5 2.041738-3 4.697995-5 2.483133-3 4.845511-5 3.054921-3 5.000137-5 3.350000-3 5.068268-5 3.350000-3 7.202017-5 3.528100-3 7.216624-5 3.528100-3 7.567908-5 3.783400-3 7.583357-5 3.783400-3 8.016251-5 5.188000-3 8.178817-5 7.328245-3 8.365273-5 1.047129-2 8.568610-5 1.479108-2 8.771727-5 2.041738-2 8.960944-5 2.548900-2 9.087096-5 2.548900-2 9.295922-5 5.370318-2 9.351786-5 1.500000-1 9.392489-5 8.222427-1 9.414415-5 1.000000+5 9.415369-5 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.890000-6 0.0 6.314000-5 0.0 6.314000-5 2.84765-11 6.382635-5 2.96290-11 6.460000-5 3.07866-11 6.550000-5 3.19711-11 6.650000-5 3.31894-11 6.841000-5 3.52529-11 6.841000-5 5.68889-11 6.960000-5 5.99395-11 7.110000-5 6.34054-11 7.350000-5 6.84436-11 7.673615-5 7.51082-11 7.852356-5 7.88919-11 8.080000-5 8.40089-11 8.230000-5 8.74815-11 8.450000-5 9.30491-11 8.650000-5 9.84427-11 8.912509-5 1.06203-10 9.150000-5 1.13762-10 9.500000-5 1.25738-10 1.011579-4 1.47372-10 1.016100-4 1.48879-10 1.016100-4 1.67786-10 1.040000-4 1.76567-10 1.065000-4 1.84454-10 1.085000-4 1.89603-10 1.096478-4 1.92110-10 1.110000-4 1.94562-10 1.131000-4 1.97430-10 1.155000-4 1.99240-10 1.180000-4 1.99645-10 1.202264-4 1.99060-10 1.230269-4 1.97061-10 1.260000-4 1.93872-10 1.315000-4 1.86277-10 1.430000-4 1.69077-10 1.500000-4 1.59848-10 1.566751-4 1.52319-10 1.621810-4 1.47019-10 1.670000-4 1.42983-10 1.720000-4 1.39344-10 1.780000-4 1.35599-10 1.840772-4 1.32333-10 1.905461-4 1.29419-10 1.980000-4 1.26588-10 2.089296-4 1.23275-10 2.220000-4 1.20291-10 2.371374-4 1.17891-10 2.511886-4 1.16351-10 2.660725-4 1.15295-10 2.884032-4 1.14564-10 3.090295-4 1.14435-10 3.388442-4 1.14924-10 3.765500-4 1.16183-10 3.765500-4 1.24181-10 3.820000-4 1.24927-10 3.829900-4 1.25190-10 3.829900-4 7.502648-9 3.850000-4 7.451953-9 3.865000-4 7.443640-9 3.873000-4 7.454274-9 3.880000-4 7.472506-9 3.890451-4 7.533398-9 3.900000-4 7.622813-9 3.907000-4 7.712577-9 3.915000-4 7.842289-9 3.923000-4 8.006464-9 3.930000-4 8.179337-9 3.938000-4 8.412763-9 3.945000-4 8.651518-9 3.952000-4 8.922705-9 3.960000-4 9.273252-9 3.967000-4 9.617743-9 3.975000-4 1.005305-8 3.985000-4 1.065609-8 3.995000-4 1.133130-8 4.007000-4 1.222172-8 4.023000-4 1.354266-8 4.035000-4 1.460205-8 4.045000-4 1.553765-8 4.054000-4 1.640701-8 4.085000-4 1.951771-8 4.090000-4 2.004689-8 4.111000-4 2.214752-8 4.132000-4 2.414817-8 4.151500-4 2.584809-8 4.161000-4 2.662447-8 4.173000-4 2.753521-8 4.185000-4 2.837531-8 4.205000-4 2.963117-8 4.220000-4 3.045573-8 4.235000-4 3.118329-8 4.265795-4 3.243556-8 4.295000-4 3.336755-8 4.315191-4 3.391333-8 4.335000-4 3.436174-8 4.380000-4 3.519568-8 4.420000-4 3.571461-8 4.470000-4 3.625018-8 4.518559-4 3.656729-8 4.550000-4 3.675539-8 4.650000-4 3.701837-8 5.011872-4 3.705491-8 5.248075-4 3.706041-8 5.370318-4 3.710798-8 5.685300-4 3.709839-8 5.685300-4 4.366680-8 5.700000-4 4.459283-8 5.723000-4 4.567812-8 5.750000-4 4.661743-8 5.780000-4 4.741037-8 5.830000-4 4.836847-8 5.870000-4 4.890597-8 5.930000-4 4.944246-8 6.001900-4 4.980086-8 6.001900-4 5.401956-8 6.025596-4 5.505896-8 6.060000-4 5.612554-8 6.115000-4 5.726897-8 6.170000-4 5.806202-8 6.250000-4 5.879695-8 6.330000-4 5.923515-8 7.038000-4 6.174183-8 7.038000-4 6.844215-8 8.511380-4 7.436003-8 1.000000-3 7.987470-8 1.148154-3 8.468804-8 1.333521-3 9.005054-8 1.513561-3 9.455906-8 1.717908-3 9.912822-8 1.972423-3 1.040770-7 2.238721-3 1.085785-7 2.570396-3 1.134245-7 3.000000-3 1.187005-7 3.350000-3 1.223455-7 3.350000-3 1.167737-4 3.470000-3 1.171028-4 3.528100-3 1.169643-4 3.528100-3 1.391821-4 3.758374-3 1.394506-4 3.783400-3 1.394671-4 3.783400-3 1.441240-4 4.731513-3 1.447330-4 7.500000-3 1.452796-4 2.548900-2 1.448900-4 2.548900-2 1.596091-2 2.786121-2 1.603785-2 3.715352-2 1.620158-2 5.370318-2 1.633695-2 8.912509-2 1.644006-2 1.840772-1 1.649830-2 1.188600+0 1.654947-2 1.000000+5 1.654754-2 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.890000-6 0.0 1.186000-5 4.970000-6 1.186000-5 5.560191-8 1.202264-5 2.123876-7 1.230269-5 4.835985-7 1.247000-5 6.462642-7 1.247000-5 3.945263-7 1.350000-5 1.416664-6 1.830000-5 6.212628-6 6.314000-5 5.103403-5 6.314000-5 4.957306-5 6.841000-5 5.449751-5 6.841000-5 5.373463-5 8.450000-5 6.827320-5 9.660509-5 7.865849-5 1.016100-4 8.286149-5 1.016100-4 8.069327-5 1.085000-4 8.616982-5 1.150000-4 9.198444-5 1.230269-4 9.996113-5 1.621810-4 1.417284-4 2.018366-4 1.826598-4 3.019952-4 2.835680-4 3.765500-4 3.580845-4 3.765500-4 3.563718-4 3.829900-4 3.626391-4 3.829900-4 3.615912-4 3.923000-4 3.693526-4 4.090000-4 3.789095-4 4.230000-4 3.907283-4 4.740000-4 4.409670-4 5.685300-4 5.355038-4 5.685300-4 5.339519-4 6.001900-4 5.641626-4 6.001900-4 5.635815-4 7.038000-4 6.659511-4 7.038000-4 6.642629-4 2.630268-3 2.581261-3 3.350000-3 3.299195-3 3.350000-3 3.161206-3 3.528100-3 3.338969-3 3.528100-3 3.313239-3 3.783400-3 3.568099-3 3.783400-3 3.559114-3 2.548900-2 2.525324-2 2.548900-2 9.435126-3 2.610000-2 1.001171-2 3.589219-2 1.961389-2 6.165950-2 4.519163-2 1.000000+5 9.999998+4 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 2.548900-2 8.264259+3 2.610000-2 7.835280+3 2.670000-2 7.368320+3 2.754229-2 6.828197+3 2.951209-2 5.692761+3 3.311311-2 4.232585+3 3.845918-2 2.844378+3 4.897788-2 1.474773+3 6.095369-2 8.035782+2 7.673615-2 4.193112+2 9.660509-2 2.168405+2 1.972423-1 2.743593+1 2.426610-1 1.514562+1 2.851018-1 9.605503+0 3.349654-1 6.150578+0 3.801894-1 4.364002+0 4.265795-1 3.216144+0 4.786301-1 2.387487+0 5.308844-1 1.838737+0 5.888437-1 1.426199+0 6.531306-1 1.114510+0 7.161434-1 9.018780-1 7.943282-1 7.160025-1 8.912509-1 5.585444-1 9.772372-1 4.604992-1 1.109175+0 3.571418-1 1.230269+0 2.918602-1 1.364583+0 2.402149-1 1.531087+0 1.949645-1 1.737801+0 1.563015-1 2.000000+0 1.233157-1 2.238721+0 1.026075-1 2.511886+0 8.567170-2 2.851018+0 7.076737-2 3.349654+0 5.594480-2 3.890451+0 4.532217-2 4.570882+0 3.640661-2 5.432503+0 2.901962-2 6.531306+0 2.296650-2 7.943282+0 1.805385-2 9.772372+0 1.409702-2 1.230269+1 1.079601-2 1.479108+1 8.761162-3 1.949845+1 6.451944-3 2.691535+1 4.552862-3 3.890451+1 3.081835-3 6.237348+1 1.886784-3 1.188502+2 9.756714-4 2.371374+2 4.849190-4 9.440609+2 1.210214-4 5.956621+4 1.914747-6 1.000000+5 1.140500-6 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 2.548900-2 9.334900-5 1.000000+5 9.334900-5 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.548900-2 1.891300-2 1.000000+5 1.891300-2 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.548900-2 6.482651-3 1.000000+5 9.999998+4 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 3.783400-3 3.436768+4 4.080000-3 3.053500+4 4.623810-3 2.486193+4 4.900000-3 2.244560+4 5.559043-3 1.786217+4 6.025596-3 1.548714+4 6.456542-3 1.360503+4 7.852356-3 9.331450+3 8.709636-3 7.577610+3 1.011579-2 5.577822+3 1.190000-2 3.951120+3 1.333521-2 3.083928+3 1.548817-2 2.210005+3 1.819701-2 1.528570+3 2.113489-2 1.076257+3 2.426610-2 7.731039+2 2.786121-2 5.518168+2 3.198895-2 3.914357+2 3.715352-2 2.679953+2 4.315191-2 1.822632+2 5.069907-2 1.194931+2 6.025596-2 7.543320+1 7.161434-2 4.727300+1 8.709636-2 2.762170+1 1.096478-1 1.453198+1 2.187762-1 2.076276+0 2.660725-1 1.201749+0 3.126079-1 7.715582-1 3.589219-1 5.313669-1 4.073803-1 3.800553-1 4.570882-1 2.820944-1 5.128614-1 2.109000-1 5.688529-1 1.634679-1 6.309573-1 1.275580-1 6.998420-1 1.002453-1 7.762471-1 7.935832-2 8.511380-1 6.490419-2 9.332543-1 5.343447-2 1.023293+0 4.429749-2 1.161449+0 3.443351-2 1.288250+0 2.827060-2 1.462177+0 2.236459-2 1.621810+0 1.859855-2 1.840772+0 1.496281-2 2.113489+0 1.188695-2 2.371374+0 9.888737-3 2.691535+0 8.141732-3 3.126079+0 6.526111-3 3.630781+0 5.268596-3 4.265795+0 4.218120-3 5.011872+0 3.402598-3 6.000000+0 2.698100-3 7.244360+0 2.132637-3 8.912509+0 1.659794-3 1.109175+1 1.284000-3 1.445440+1 9.490506-4 1.927525+1 6.898255-4 2.660725+1 4.866415-4 3.845918+1 3.293231-4 6.095369+1 2.039941-4 1.148154+2 1.066862-4 2.290868+2 5.301213-5 4.570882+2 2.645365-5 1.819701+3 6.623233-6 1.000000+5 1.204200-7 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 3.783400-3 1.093200-4 1.000000+5 1.093200-4 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.783400-3 1.754900-4 1.000000+5 1.754900-4 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.783400-3 3.498590-3 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 3.528100-3 7.483469+4 3.620000-3 7.102300+4 3.650000-3 6.977100+4 3.690000-3 6.764800+4 3.801894-3 6.294500+4 4.168694-3 4.977300+4 4.500000-3 4.058200+4 5.500000-3 2.350400+4 6.095369-3 1.768400+4 7.161434-3 1.121400+4 8.912509-3 5.925100+3 1.047129-2 3.660500+3 1.174898-2 2.583200+3 1.400000-2 1.506200+3 1.698244-2 8.223000+2 2.041738-2 4.571800+2 2.454709-2 2.519800+2 2.951209-2 1.378100+2 3.589219-2 7.204600+1 4.518559-2 3.332471+1 6.025596-2 1.260525+1 1.035142-1 2.004634+0 1.348963-1 8.210980-1 1.621810-1 4.443046-1 1.905461-1 2.614289-1 2.213095-1 1.609116-1 2.540973-1 1.035675-1 2.884032-1 6.965020-2 3.235937-1 4.888544-2 3.630781-1 3.455184-2 4.027170-1 2.544820-2 4.466836-1 1.887106-2 4.954502-1 1.409076-2 5.495409-1 1.059719-2 6.095369-1 8.026812-3 6.683439-1 6.313859-3 7.244360-1 5.148404-3 7.943282-1 4.107536-3 9.015711-1 3.039446-3 9.660509-1 2.590384-3 1.023293+0 2.283332-3 1.096478+0 1.976323-3 1.174898+0 1.722654-3 1.273503+0 1.481160-3 1.428894+0 1.203166-3 1.698244+0 8.887922-4 1.949845+0 7.026410-4 2.187762+0 5.815116-4 2.454709+0 4.848786-4 2.786121+0 4.000291-4 3.273407+0 3.158804-4 3.801894+0 2.556096-4 4.466836+0 2.051021-4 5.308844+0 1.633188-4 6.382635+0 1.291288-4 7.762471+0 1.014169-4 9.549926+0 7.912693-5 1.202264+1 6.055014-5 1.479108+1 4.785930-5 1.949845+1 3.524439-5 2.691535+1 2.487118-5 3.845918+1 1.703956-5 6.025596+1 1.068098-5 1.122018+2 5.651077-6 2.238721+2 2.807301-6 4.466836+2 1.400798-6 1.778279+3 3.506854-7 1.000000+5 6.230400-9 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 3.528100-3 8.511000-5 1.000000+5 8.511000-5 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.528100-3 1.988300-4 1.000000+5 1.988300-4 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.528100-3 3.244160-3 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 3.350000-3 1.599947+5 3.470000-3 1.475656+5 3.550000-3 1.384208+5 3.620000-3 1.319168+5 3.935501-3 1.061361+5 4.265795-3 8.525251+4 5.308844-3 4.640509+4 5.688529-3 3.819362+4 6.683439-3 2.403825+4 7.585776-3 1.653080+4 8.609938-3 1.133146+4 1.047129-2 6.234408+3 1.230269-2 3.773309+3 1.412538-2 2.437345+3 1.640590-2 1.507911+3 1.927525-2 8.921935+2 2.264644-2 5.239683+2 2.691535-2 2.939872+2 3.235937-2 1.574688+2 3.935501-2 8.045734+1 4.841724-2 3.921641+1 6.165950-2 1.682218+1 1.230269-1 1.473948+0 1.500000-1 7.377473-1 1.778279-1 4.102763-1 2.041738-1 2.564269-1 2.317395-1 1.678079-1 2.600160-1 1.148894-1 2.917427-1 7.922699-2 3.235937-1 5.709954-2 3.589219-1 4.145673-2 3.935501-1 3.139717-2 4.315191-1 2.393749-2 4.731513-1 1.838163-2 5.188000-1 1.421991-2 5.623413-1 1.143192-2 6.165950-1 8.976492-3 6.760830-1 7.102395-3 7.413102-1 5.660256-3 8.128305-1 4.543565-3 8.912509-1 3.675134-3 9.660509-1 3.069831-3 1.023293+0 2.716766-3 1.122018+0 2.251658-3 1.216186+0 1.924327-3 1.348963+0 1.586886-3 1.531087+0 1.265014-3 1.757924+0 9.944936-4 2.018366+0 7.878816-4 2.264644+0 6.535115-4 2.540973+0 5.460184-4 2.884032+0 4.513031-4 3.349654+0 3.629016-4 3.890451+0 2.939918-4 4.570882+0 2.361595-4 5.432503+0 1.882436-4 6.531306+0 1.489788-4 7.943282+0 1.171144-4 9.772372+0 9.144706-5 1.230269+1 7.003230-5 1.479108+1 5.683123-5 1.949845+1 4.185149-5 2.691535+1 2.953298-5 3.890451+1 1.999064-5 6.165950+1 1.238553-5 1.161449+2 6.478743-6 2.317395+2 3.219463-6 9.225714+2 8.033684-7 2.917427+4 2.535380-8 1.000000+5 7.398400-9 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 3.350000-3 8.116900-5 1.000000+5 8.116900-5 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.350000-3 1.667900-4 1.000000+5 1.667900-4 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.350000-3 3.102041-3 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 7.038000-4 1.080700+5 8.035261-4 9.310851+4 9.015711-4 8.094148+4 9.850000-4 7.253140+4 1.047129-3 6.670434+4 1.230269-3 5.321484+4 1.333521-3 4.720734+4 1.584893-3 3.614689+4 1.757924-3 3.058504+4 2.070000-3 2.330660+4 2.400000-3 1.805948+4 2.754229-3 1.415751+4 3.235937-3 1.056237+4 3.845918-3 7.649907+3 4.518559-3 5.616429+3 5.370318-3 4.001124+3 6.382635-3 2.826545+3 7.500000-3 2.027440+3 8.810489-3 1.444028+3 1.023293-2 1.046269+3 1.202264-2 7.341214+2 1.412538-2 5.111696+2 1.659587-2 3.532316+2 1.949845-2 2.422266+2 2.264644-2 1.694413+2 2.660725-2 1.144715+2 3.126079-2 7.675703+1 3.672823-2 5.107951+1 4.315191-2 3.374570+1 5.128614-2 2.147758+1 6.095369-2 1.356788+1 7.328245-2 8.248792+0 8.912509-2 4.824162+0 1.109175-1 2.627808+0 2.371374-1 3.109857-1 2.851018-1 1.866555-1 3.311311-1 1.241095-1 3.801894-1 8.575979-2 4.315191-1 6.156867-2 4.841724-1 4.587842-2 5.370318-1 3.543827-2 6.000000-1 2.708129-2 6.683439-1 2.101048-2 7.413102-1 1.658684-2 8.222427-1 1.318937-2 9.015711-1 1.082465-2 9.885531-1 8.946623-3 1.148154+0 6.635189-3 1.250000+0 5.637444-3 1.428894+0 4.394578-3 1.566751+0 3.723133-3 1.778279+0 2.989162-3 2.065380+0 2.325753-3 2.317395+0 1.931891-3 2.630268+0 1.588279-3 3.019952+0 1.293236-3 3.507519+0 1.042176-3 4.073803+0 8.461671-4 4.786301+0 6.811485-4 5.688529+0 5.440440-4 6.839116+0 4.313763-4 8.413951+0 3.350151-4 1.047129+1 2.586351-4 1.380384+1 1.883091-4 1.819701+1 1.384499-4 2.454709+1 9.997238-5 3.507519+1 6.835962-5 5.370318+1 4.381045-5 9.120108+1 2.542022-5 1.819701+2 1.260209-5 3.630781+2 6.281337-6 1.445440+3 1.571391-6 1.000000+5 2.268700-8 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 7.038000-4 7.829600-5 1.000000+5 7.829600-5 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 7.038000-4 2.231600-7 1.000000+5 2.231600-7 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 7.038000-4 6.252808-4 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 6.001900-4 7.927240+4 6.009000-4 8.530100+4 6.013000-4 8.851840+4 6.018000-4 9.228120+4 6.025596-4 9.745947+4 6.032000-4 1.013880+5 6.040000-4 1.058816+5 6.050000-4 1.109314+5 6.060000-4 1.154216+5 6.070000-4 1.194606+5 6.085000-4 1.248462+5 6.100000-4 1.295326+5 6.115000-4 1.336120+5 6.135000-4 1.382236+5 6.150000-4 1.411500+5 6.170000-4 1.444258+5 6.190000-4 1.470840+5 6.220000-4 1.500674+5 6.250000-4 1.520712+5 6.285000-4 1.534358+5 6.330000-4 1.540768+5 6.400000-4 1.535362+5 7.244360-4 1.399185+5 8.128305-4 1.260750+5 8.511380-4 1.203304+5 9.120108-4 1.114505+5 9.885531-4 1.010929+5 1.059254-3 9.252618+4 1.130000-3 8.455420+4 1.244515-3 7.322777+4 1.350000-3 6.451200+4 1.462177-3 5.654017+4 1.621810-3 4.724909+4 1.778279-3 4.001341+4 1.972423-3 3.290130+4 2.187762-3 2.687351+4 2.426610-3 2.177021+4 2.691535-3 1.752272+4 3.000000-3 1.385106+4 3.349654-3 1.083133+4 3.758374-3 8.310959+3 4.216965-3 6.330054+3 4.731513-3 4.786565+3 5.308844-3 3.593799+3 6.000000-3 2.630400+3 6.800000-3 1.896974+3 7.762471-3 1.331313+3 8.810489-3 9.414347+2 1.000000-2 6.609580+2 1.148154-2 4.457630+2 1.303167-2 3.085382+2 1.496236-2 2.050858+2 1.730000-2 1.324798+2 2.018366-2 8.261765+1 2.344229-2 5.183792+1 2.754229-2 3.113729+1 3.273407-2 1.789010+1 3.935501-2 9.827386+0 4.841724-2 4.968142+0 6.165950-2 2.222822+0 1.230269-1 2.195245-1 1.548817-1 1.021874-1 1.798871-1 6.248954-2 2.113489-1 3.712145-2 2.426610-1 2.390485-2 2.754229-1 1.607528-2 3.126079-1 1.088578-2 3.507519-1 7.688420-3 3.935501-1 5.469411-3 4.365158-1 4.052706-3 4.841724-1 3.023753-3 5.370318-1 2.273180-3 5.956621-1 1.722105-3 6.606935-1 1.314636-3 7.328245-1 1.011509-3 8.511380-1 7.006733-4 9.120108-1 5.949471-4 9.660509-1 5.220164-4 1.023293+0 4.608054-4 1.096478+0 3.992202-4 1.174898+0 3.480196-4 1.273503+0 2.989459-4 1.412538+0 2.477195-4 1.678804+0 1.828642-4 1.927525+0 1.444872-4 2.162719+0 1.195140-4 2.426610+0 9.958727-5 2.754229+0 8.210155-5 3.235937+0 6.478941-5 3.758374+0 5.239783-5 4.415704+0 4.202055-5 5.248075+0 3.344198-5 6.309573+0 2.642768-5 7.673615+0 2.074658-5 9.440609+0 1.618075-5 1.188502+1 1.237696-5 1.479108+1 9.654678-6 1.949845+1 7.109861-6 2.722701+1 4.955699-6 3.935501+1 3.355291-6 6.309573+1 2.054705-6 1.188502+2 1.075146-6 2.371374+2 5.343729-7 9.440609+2 1.333630-7 2.985383+4 4.209008-9 1.000000+5 1.256900-9 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 6.001900-4 5.973900-5 1.000000+5 5.973900-5 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.001900-4 2.235600-7 1.000000+5 2.235600-7 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.001900-4 5.402274-4 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 5.685300-4 2.004116+5 5.691000-4 2.124552+5 5.695000-4 2.204748+5 5.700000-4 2.296852+5 5.707000-4 2.413252+5 5.715000-4 2.532412+5 5.723000-4 2.638476+5 5.730000-4 2.722964+5 5.740000-4 2.832124+5 5.750000-4 2.929608+5 5.765000-4 3.057940+5 5.780000-4 3.168684+5 5.795000-4 3.264688+5 5.810000-4 3.348008+5 5.830000-4 3.441892+5 5.850000-4 3.518568+5 5.870000-4 3.580248+5 5.900000-4 3.648732+5 5.930000-4 3.693300+5 5.960000-4 3.718852+5 6.000000-4 3.730680+5 6.050000-4 3.721132+5 6.200000-4 3.640912+5 7.000000-4 3.243604+5 7.943282-4 2.828801+5 8.511380-4 2.603563+5 9.200000-4 2.353528+5 1.000000-3 2.100332+5 1.071519-3 1.897784+5 1.174898-3 1.642452+5 1.288250-3 1.413297+5 1.400000-3 1.224748+5 1.570000-3 9.956280+4 1.717908-3 8.409599+4 1.905461-3 6.867314+4 2.113489-3 5.571474+4 2.371374-3 4.377482+4 2.630268-3 3.499300+4 2.951209-3 2.706808+4 3.273407-3 2.133766+4 3.672823-3 1.626421+4 4.120975-3 1.230178+4 4.570882-3 9.511507+3 5.188000-3 6.891892+3 5.888437-3 4.952636+3 6.683439-3 3.530021+3 7.585776-3 2.496205+3 8.511380-3 1.809411+3 9.549926-3 1.303548+3 1.080000-2 9.122400+2 1.230269-2 6.206871+2 1.412538-2 4.094034+2 1.621810-2 2.679579+2 1.862087-2 1.741398+2 2.162719-2 1.082863+2 2.511886-2 6.681971+1 2.917427-2 4.093595+1 3.427678-2 2.397007+1 4.073803-2 1.340636+1 4.897788-2 7.158952+0 6.025596-2 3.507306+0 8.035261-2 1.289675+0 1.288250-1 2.485420-1 1.621810-1 1.121442-1 1.862087-1 6.999386-2 2.113489-1 4.576791-2 2.398833-1 3.005450-2 2.691535-1 2.064219-2 3.000000-1 1.458643-2 3.311311-1 1.070673-2 3.672823-1 7.795487-3 4.027170-1 5.918850-3 4.415705-1 4.524625-3 4.841724-1 3.483030-3 5.308844-1 2.701049-3 5.821032-1 2.110378-3 6.382635-1 1.661338-3 6.998420-1 1.317894-3 7.673615-1 1.053632-3 8.511380-1 8.257325-4 9.120108-1 7.061103-4 9.772372-1 6.076992-4 1.071519+0 5.024065-4 1.174898+0 4.183375-4 1.288250+0 3.512390-4 1.428894+0 2.905936-4 1.640590+0 2.275751-4 1.883649+0 1.796277-4 2.137962+0 1.456029-4 2.398833+0 1.212254-4 2.722701+0 9.987523-5 3.198895+0 7.877006-5 3.715352+0 6.366679-5 4.365158+0 5.102997-5 5.188000+0 4.059127-5 6.237348+0 3.206160-5 7.585776+0 2.515814-5 9.332543+0 1.961227-5 1.174898+1 1.499649-5 1.462177+1 1.169319-5 1.949845+1 8.501387-6 2.691535+1 5.999058-6 3.890451+1 4.060724-6 6.165950+1 2.515804-6 1.174898+2 1.300704-6 2.344229+2 6.464212-7 9.332543+2 1.613122-7 2.951209+4 5.091095-9 1.000000+5 1.502800-9 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 5.685300-4 5.856800-5 1.000000+5 5.856800-5 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 5.685300-4 1.458200-7 1.000000+5 1.458200-7 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 5.685300-4 5.098162-4 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 3.829900-4 5.984440+4 3.849000-4 5.959160+4 3.860000-4 5.972320+4 3.870000-4 6.009560+4 3.880000-4 6.080760+4 3.890451-4 6.200264+4 3.900000-4 6.357680+4 3.907000-4 6.508120+4 3.915000-4 6.722440+4 3.923000-4 6.988400+4 3.930000-4 7.269960+4 3.938000-4 7.654040+4 3.945000-4 8.051760+4 3.952000-4 8.513400+4 3.960000-4 9.128040+4 3.967000-4 9.750480+4 3.975000-4 1.056832+5 3.985000-4 1.176768+5 3.995000-4 1.318584+5 4.007000-4 1.521024+5 4.027170-4 1.950716+5 4.050000-4 2.587572+5 4.065000-4 3.097636+5 4.077000-4 3.556680+5 4.090000-4 4.102200+5 4.101300-4 4.611772+5 4.111000-4 5.070920+5 4.122000-4 5.611840+5 4.132000-4 6.116480+5 4.140000-4 6.525520+5 4.151500-4 7.117957+5 4.161000-4 7.605360+5 4.173000-4 8.211720+5 4.185000-4 8.804440+5 4.195000-4 9.284560+5 4.205000-4 9.747120+5 4.220000-4 1.040764+6 4.235000-4 1.102404+6 4.250400-4 1.160735+6 4.265795-4 1.214383+6 4.280000-4 1.259672+6 4.295000-4 1.303264+6 4.315191-4 1.355630+6 4.335000-4 1.399952+6 4.360000-4 1.447240+6 4.380000-4 1.478484+6 4.410000-4 1.515368+6 4.440000-4 1.541712+6 4.470000-4 1.559156+6 4.502400-4 1.569259+6 4.550000-4 1.570908+6 4.600000-4 1.560356+6 4.650000-4 1.541728+6 4.740000-4 1.498576+6 5.326300-4 1.238438+6 5.559043-4 1.146546+6 6.200000-4 9.308160+5 6.531306-4 8.380369+5 7.000000-4 7.219600+5 7.413102-4 6.348617+5 8.128305-4 5.115531+5 8.709636-4 4.320755+5 9.500000-4 3.462456+5 1.047129-3 2.682647+5 1.148154-3 2.089764+5 1.288250-3 1.517071+5 1.412538-3 1.166561+5 1.584893-3 8.336142+4 1.757924-3 6.117881+4 1.972423-3 4.305606+4 2.187762-3 3.116646+4 2.454709-3 2.160963+4 2.754229-3 1.486952+4 3.090295-3 1.016005+4 3.507519-3 6.630618+3 4.000000-3 4.222800+3 4.570882-3 2.647566+3 5.188000-3 1.686374+3 5.888437-3 1.065833+3 6.760830-3 6.405873+2 7.762471-3 3.815812+2 8.810489-3 2.356095+2 1.000000-2 1.445248+2 1.161449-2 8.049623+1 1.333521-2 4.655998+1 1.548817-2 2.553634+1 1.798871-2 1.390312+1 2.113489-2 7.170099+0 2.540973-2 3.336083+0 3.126079-2 1.398922+0 4.120975-2 4.349736-1 7.413102-2 3.606834-2 9.225714-2 1.435624-2 1.122019-1 6.339712-3 1.303167-1 3.415678-3 1.500000-1 1.923669-3 1.698244-1 1.167374-3 1.927525-1 7.063595-4 2.162719-1 4.504357-4 2.426610-1 2.892642-4 2.722701-1 1.871783-4 3.019952-1 1.273924-4 3.349654-1 8.732894-5 3.715352-1 6.029382-5 4.168694-1 4.027984-5 4.570882-1 2.936504-5 5.000000-1 2.173872-5 5.432503-1 1.658398-5 5.888437-1 1.283631-5 6.309573-1 1.037403-5 6.839117-1 8.147223-6 7.498942-1 6.226646-6 8.035261-1 5.107798-6 8.609938-1 4.164700-6 9.120108-1 3.538661-6 9.549926-1 3.127079-6 9.885531-1 2.863838-6 1.035142+0 2.565680-6 1.083927+0 2.315445-6 1.135011+0 2.103295-6 1.188600+0 1.921487-6 1.273503+0 1.693697-6 1.380384+0 1.472629-6 1.513561+0 1.261399-6 1.862087+0 8.812760-7 2.089296+0 7.269285-7 2.344229+0 6.043226-7 2.660725+0 4.971821-7 3.090295+0 3.982548-7 3.589219+0 3.213253-7 4.216965+0 2.571108-7 4.954502+0 2.072934-7 5.888437+0 1.658161-7 7.079458+0 1.316537-7 8.709636+0 1.023785-7 1.083927+1 7.913664-8 1.428894+1 5.768985-8 1.905461+1 4.192156-8 2.630268+1 2.956500-8 3.801894+1 2.000307-8 6.025596+1 1.238747-8 1.122018+2 6.554174-9 2.238721+2 3.255984-9 4.466836+2 1.624581-9 1.778279+3 4.06725-10 1.000000+5 7.22610-12 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 3.829900-4 3.513500-5 1.000000+5 3.513500-5 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.829900-4 1.049400-7 1.000000+5 1.049400-7 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.829900-4 3.477501-4 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 3.765500-4 8.323620+4 3.784000-4 8.389440+4 3.797000-4 8.473740+4 3.809000-4 8.604300+4 3.820000-4 8.787180+4 3.828000-4 8.969580+4 3.835000-4 9.169980+4 3.843000-4 9.453780+4 3.850000-4 9.757200+4 3.858000-4 1.017642+5 3.865000-4 1.061538+5 3.873000-4 1.121082+5 3.880000-4 1.182420+5 3.888000-4 1.264380+5 3.895000-4 1.347672+5 3.903000-4 1.457562+5 3.910000-4 1.567914+5 3.921000-4 1.771086+5 3.933000-4 2.039292+5 3.948000-4 2.452068+5 3.985000-4 3.901008+5 4.000000-4 4.678530+5 4.011000-4 5.317992+5 4.023000-4 6.078120+5 4.035000-4 6.896640+5 4.045000-4 7.616700+5 4.054000-4 8.288580+5 4.065000-4 9.132600+5 4.077000-4 1.007118+6 4.085000-4 1.070094+6 4.095000-4 1.148664+6 4.104000-4 1.218708+6 4.115000-4 1.302828+6 4.126000-4 1.384680+6 4.140000-4 1.484742+6 4.150000-4 1.552998+6 4.165000-4 1.649856+6 4.180000-4 1.739784+6 4.195000-4 1.822674+6 4.211400-4 1.905363+6 4.230000-4 1.989456+6 4.250000-4 2.068986+6 4.273700-4 2.149669+6 4.300000-4 2.223414+6 4.328000-4 2.285466+6 4.356900-4 2.333612+6 4.390000-4 2.371398+6 4.420000-4 2.391840+6 4.450000-4 2.401302+6 4.485000-4 2.400990+6 4.530000-4 2.386896+6 4.600000-4 2.345460+6 4.700000-4 2.268660+6 5.248075-4 1.891010+6 5.500000-4 1.736454+6 6.100000-4 1.422204+6 6.456542-4 1.267423+6 6.850000-4 1.115286+6 7.300000-4 9.670200+5 8.000000-4 7.790100+5 8.609938-4 6.507257+5 9.225714-4 5.456805+5 1.023293-3 4.155863+5 1.110000-3 3.336330+5 1.244515-3 2.426810+5 1.380384-3 1.805606+5 1.548817-3 1.289582+5 1.717908-3 9.457388+4 1.927525-3 6.651820+4 2.162719-3 4.639415+4 2.400000-3 3.327876+4 2.722701-3 2.206369+4 3.090295-3 1.447560+4 3.427678-3 1.018998+4 3.845918-3 6.856874+3 4.400000-3 4.278588+3 5.011872-3 2.688131+3 5.688529-3 1.696705+3 6.500000-3 1.036404+3 7.328245-3 6.604317+2 8.317638-3 4.074184+2 9.440609-3 2.496188+2 1.071519-2 1.519416+2 1.230269-2 8.776827+1 1.428894-2 4.805708+1 1.659587-2 2.610471+1 1.927525-2 1.407477+1 2.264644-2 7.179099+0 2.691535-2 3.462888+0 3.273407-2 1.503956+0 4.265795-2 4.822692-1 7.498942-2 4.236114-2 9.332543-2 1.659411-2 1.122019-1 7.595249-3 1.303167-1 4.052733-3 1.496236-1 2.286155-3 1.698244-1 1.362804-3 1.905461-1 8.575937-4 2.089296-1 5.954055-4 2.317395-1 3.980445-4 2.540973-1 2.802144-4 2.786121-1 1.986043-4 3.054921-1 1.417541-4 3.349654-1 1.019603-4 3.630781-1 7.693564-5 3.935501-1 5.843522-5 4.216965-1 4.645700-5 4.570882-1 3.581918-5 4.954502-1 2.782418-5 5.432503-1 2.097189-5 5.888437-1 1.648535-5 6.382635-1 1.304668-5 6.918310-1 1.039892-5 7.498942-1 8.349540-6 8.000000-1 7.041634-6 8.511380-1 6.029189-6 9.015711-1 5.256145-6 9.549926-1 4.613473-6 1.011579+0 4.077413-6 1.109175+0 3.376134-6 1.202264+0 2.882212-6 1.318257+0 2.425485-6 1.479108+0 1.970855-6 1.698244+0 1.546964-6 1.949845+0 1.223259-6 2.187762+0 1.012164-6 2.454709+0 8.438968-7 2.786121+0 6.962385-7 3.273407+0 5.497972-7 3.801894+0 4.448934-7 4.466836+0 3.569806-7 5.308844+0 2.842539-7 6.382635+0 2.247417-7 7.762471+0 1.765131-7 9.549926+0 1.377223-7 1.202264+1 1.053823-7 1.479108+1 8.329874-8 1.949845+1 6.134335-8 2.691535+1 4.328768-8 3.890451+1 2.930076-8 6.165950+1 1.815394-8 1.161449+2 9.495976-9 2.317395+2 4.718820-9 9.225714+2 1.177534-9 2.917427+4 3.71608-11 1.000000+5 1.08440-11 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 3.765500-4 3.489100-5 1.000000+5 3.489100-5 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.765500-4 1.92890-10 1.000000+5 1.92890-10 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.765500-4 3.416588-4 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.016100-4 1.626652+5 1.040000-4 1.659356+5 1.060000-4 1.677656+5 1.090000-4 1.694432+5 1.135011-4 1.705386+5 1.216186-4 1.708625+5 1.380384-4 1.698442+5 1.500000-4 1.681836+5 1.603245-4 1.657335+5 1.698244-4 1.625599+5 1.800000-4 1.582504+5 1.905461-4 1.530405+5 2.018366-4 1.469819+5 2.162719-4 1.390314+5 2.371374-4 1.279875+5 2.630268-4 1.156951+5 2.900000-4 1.044276+5 3.162278-4 9.468502+4 3.467369-4 8.467721+4 3.890451-4 7.303171+4 4.415704-4 6.162258+4 4.954502-4 5.241220+4 5.623413-4 4.350317+4 6.531306-4 3.464779+4 7.500000-4 2.785960+4 8.912509-4 2.104875+4 1.059254-3 1.576789+4 1.273503-3 1.150407+4 1.566751-3 8.005018+3 1.927525-3 5.528678+3 2.371374-3 3.788939+3 2.851018-3 2.688851+3 3.427678-3 1.894106+3 4.073803-3 1.353658+3 4.897788-3 9.387697+2 5.888437-3 6.460277+2 7.000000-3 4.516100+2 8.317638-3 3.137349+2 9.885531-3 2.161860+2 1.161449-2 1.516096+2 1.364583-2 1.055633+2 1.603245-2 7.297043+1 1.883649-2 5.007188+1 2.213095-2 3.410437+1 2.600160-2 2.305632+1 3.054921-2 1.547250+1 3.589219-2 1.030820+1 4.265795-2 6.619263+0 5.069907-2 4.217146+0 6.095369-2 2.584320+0 7.413102-2 1.523414+0 8.609938-2 1.011048+0 1.083927-1 5.334941-1 2.371374-1 5.931975-2 2.851018-1 3.561770-2 3.349654-1 2.296215-2 3.845918-1 1.587861-2 4.365158-1 1.140855-2 4.897788-1 8.507852-3 5.432503-1 6.576745-3 6.025596-1 5.117832-3 6.683439-1 4.011296-3 7.413102-1 3.166868-3 8.317638-1 2.455880-3 9.120108-1 2.017185-3 1.000000+0 1.668800-3 1.148154+0 1.266825-3 1.250000+0 1.076300-3 1.428894+0 8.390177-4 1.566751+0 7.108192-4 1.778279+0 5.706674-4 2.044000+0 4.517300-4 2.290868+0 3.756494-4 2.600160+0 3.086077-4 2.985383+0 2.511193-4 3.467369+0 2.022554-4 4.027170+0 1.641263-4 4.731513+0 1.320436-4 5.623413+0 1.054151-4 6.760830+0 8.354573-5 8.317638+0 6.485475-5 1.023293+1 5.072525-5 1.318257+1 3.789224-5 1.640590+1 2.963882-5 2.200000+1 2.148500-5 3.090295+1 1.492324-5 4.570882+1 9.889231-6 7.328245+1 6.071463-6 1.428894+2 3.073122-6 2.851018+2 1.529573-6 1.135011+3 3.821334-7 1.000000+5 4.331500-9 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.016100-4 3.572900-5 1.000000+5 3.572900-5 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.016100-4 2.96950-10 1.000000+5 2.96950-10 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.016100-4 6.588070-5 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 6.841000-5 7.621580+5 6.900000-5 7.668200+5 6.960000-5 7.665120+5 7.030000-5 7.617220+5 7.110000-5 7.514940+5 7.190000-5 7.377260+5 7.300000-5 7.146220+5 7.413102-5 6.880391+5 7.500000-5 6.664120+5 7.673615-5 6.217542+5 7.852356-5 5.758489+5 8.080000-5 5.199120+5 8.400000-5 4.485960+5 9.332543-5 2.957866+5 9.660509-5 2.592710+5 1.000000-4 2.288080+5 1.030000-4 2.070280+5 1.060000-4 1.892056+5 1.090000-4 1.746300+5 1.122018-4 1.619846+5 1.150000-4 1.529360+5 1.180000-4 1.449178+5 1.216186-4 1.371114+5 1.250400-4 1.312196+5 1.288250-4 1.260217+5 1.333521-4 1.212088+5 1.380384-4 1.174445+5 1.430000-4 1.144596+5 1.496236-4 1.116177+5 1.580000-4 1.092460+5 1.698244-4 1.071473+5 2.018366-4 1.032593+5 2.187762-4 1.008695+5 2.371374-4 9.788154+4 2.580000-4 9.413680+4 2.786121-4 9.020010+4 3.000000-4 8.596760+4 3.235937-4 8.126590+4 3.507519-4 7.597499+4 3.850000-4 6.970640+4 4.216965-4 6.360732+4 4.623810-4 5.752952+4 5.011872-4 5.235020+4 5.559043-4 4.599031+4 6.165950-4 4.010225+4 6.839116-4 3.470513+4 7.673615-4 2.928301+4 8.609938-4 2.451407+4 9.549926-4 2.074764+4 1.071519-3 1.711518+4 1.190000-3 1.428114+4 1.333521-3 1.165363+4 1.500000-3 9.385320+3 1.698244-3 7.413043+3 1.905461-3 5.916977+3 2.137962-3 4.690673+3 2.426610-3 3.605084+3 2.722701-3 2.817897+3 3.054921-3 2.187312+3 3.427678-3 1.685516+3 3.845918-3 1.289939+3 4.315191-3 9.804720+2 4.897788-3 7.195728+2 5.559043-3 5.240975+2 6.309573-3 3.788233+2 7.161434-3 2.717756+2 8.128305-3 1.935810+2 9.225714-3 1.368930+2 1.047129-2 9.612296+1 1.188502-2 6.702509+1 1.364583-2 4.488732+1 1.566751-2 2.983789+1 1.798871-2 1.969461+1 2.089296-2 1.246103+1 2.426610-2 7.824499+0 2.851018-2 4.705143+0 3.388442-2 2.706844+0 4.073803-2 1.489128+0 5.011872-2 7.541629-1 6.456542-2 3.250710-1 1.244515-1 3.621401-2 1.548817-1 1.754363-2 1.840772-1 9.965787-3 2.137962-1 6.145015-3 2.454709-1 3.959094-3 2.786121-1 2.663490-3 3.162278-1 1.804781-3 3.548134-1 1.275794-3 3.981072-1 9.084623-4 4.415705-1 6.738005-4 4.897788-1 5.032071-4 5.432503-1 3.786121-4 6.025596-1 2.870285-4 6.683439-1 2.192631-4 7.413102-1 1.688315-4 8.511380-1 1.203595-4 9.120108-1 1.022161-4 9.660509-1 8.969762-5 1.023293+0 7.918658-5 1.109175+0 6.702566-5 1.188600+0 5.848400-5 1.303167+0 4.924000-5 1.462177+0 4.003678-5 1.717908+0 3.019487-5 1.972423+0 2.388695-5 2.213095+0 1.978275-5 2.483133+0 1.650582-5 2.818383+0 1.362512-5 3.311311+0 1.076492-5 3.845918+0 8.716095-6 4.518559+0 6.997641-6 5.370318+0 5.574956-6 6.456542+0 4.409961-6 7.852356+0 3.465123-6 9.660509+0 2.704672-6 1.216186+1 2.070512-6 1.479108+1 1.658222-6 1.972423+1 1.205865-6 2.754229+1 8.407781-7 4.000000+1 5.665600-7 6.382635+1 3.487511-7 1.216186+2 1.803860-7 2.426610+2 8.967814-8 9.660509+2 2.238219-8 6.095369+4 3.54158-10 1.000000+5 2.15870-10 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 6.841000-5 2.438000-5 1.000000+5 2.438000-5 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 6.841000-5 3.32130-10 1.000000+5 3.32130-10 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 6.841000-5 4.402967-5 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 6.314000-5 1.703796+6 6.382635-5 1.695732+6 6.460000-5 1.672668+6 6.550000-5 1.634004+6 6.650000-5 1.581484+6 6.770000-5 1.510644+6 6.920000-5 1.417296+6 7.079458-5 1.317567+6 7.300000-5 1.185408+6 7.585776-5 1.030662+6 8.317638-5 7.299769+5 8.650000-5 6.341040+5 8.912509-5 5.728327+5 9.150000-5 5.266520+5 9.400000-5 4.860760+5 9.660509-5 4.511386+5 9.900000-5 4.245200+5 1.020000-4 3.972624+5 1.050000-4 3.754548+5 1.080000-4 3.579548+5 1.110000-4 3.438512+5 1.150000-4 3.291100+5 1.190000-4 3.178572+5 1.240000-4 3.073100+5 1.300000-4 2.982128+5 1.364583-4 2.912512+5 1.462177-4 2.839583+5 1.800000-4 2.673772+5 1.950000-4 2.597320+5 2.113489-4 2.505597+5 2.300000-4 2.394440+5 2.511886-4 2.265715+5 2.730000-4 2.134564+5 2.951209-4 2.004448+5 3.200000-4 1.864356+5 3.467369-4 1.723065+5 3.801894-4 1.562902+5 4.168694-4 1.408148+5 4.600000-4 1.250140+5 5.011872-4 1.119307+5 5.559043-4 9.722294+4 6.237348-4 8.247492+4 6.839116-4 7.184490+4 7.585776-4 6.110204+4 8.609938-4 4.972546+4 9.700000-4 4.061760+4 1.110000-3 3.202516+4 1.244515-3 2.599222+4 1.412538-3 2.047648+4 1.584893-3 1.637686+4 1.798871-3 1.271893+4 2.041738-3 9.800816+3 2.290868-3 7.679541+3 2.570396-3 5.976613+3 2.884032-3 4.619469+3 3.235937-3 3.545452+3 3.630781-3 2.702404+3 4.073803-3 2.045864+3 4.623810-3 1.494608+3 5.248075-3 1.083259+3 5.956621-3 7.790619+2 6.760830-3 5.561171+2 7.673615-3 3.940038+2 8.709636-3 2.770734+2 9.885531-3 1.934242+2 1.122018-2 1.340523+2 1.273503-2 9.225855+1 1.462177-2 6.090626+1 1.678804-2 3.990099+1 1.927525-2 2.594866+1 2.238721-2 1.615238+1 2.600160-2 9.976154+0 3.019952-2 6.115987+0 3.548134-2 3.580519+0 4.216965-2 2.001804+0 5.128614-2 1.027302+0 6.456542-2 4.646067-1 1.318257-1 3.883148-2 1.621810-1 1.901210-2 1.905461-1 1.098583-2 2.187762-1 6.912743-3 2.483133-1 4.552702-3 2.786121-1 3.136085-3 3.090295-1 2.256841-3 3.427678-1 1.635252-3 3.801894-1 1.193754-3 4.168694-1 9.087086-4 4.570882-1 6.965180-4 5.011872-1 5.376861-4 5.495409-1 4.182033-4 6.025596-1 3.277354-4 6.606935-1 2.588683-4 7.244360-1 2.060519-4 7.943282-1 1.652704-4 8.609938-1 1.368405-4 9.225714-1 1.170801-4 9.885531-1 1.008387-4 1.083927+0 8.342720-5 1.174898+0 7.109696-5 1.288250+0 5.969809-5 1.428894+0 4.939893-5 1.640590+0 3.868994-5 1.883649+0 3.053748-5 2.137962+0 2.475338-5 2.398833+0 2.060892-5 2.722701+0 1.697874-5 3.198895+0 1.339069-5 3.715352+0 1.082338-5 4.365158+0 8.675125-6 5.188000+0 6.900436-6 6.237348+0 5.450377-6 7.585776+0 4.276825-6 9.332543+0 3.334121-6 1.174898+1 2.549322-6 1.462177+1 1.987869-6 1.949845+1 1.445193-6 2.722701+1 1.007343-6 3.935501+1 6.820436-7 6.237348+1 4.226485-7 1.174898+2 2.211167-7 2.344229+2 1.098889-7 9.332543+2 2.742319-8 2.951209+4 8.65485-10 1.000000+5 2.55480-10 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 6.314000-5 2.407200-5 1.000000+5 2.407200-5 1 47000 7 7 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 6.314000-5 2.33240-10 1.000000+5 2.33240-10 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 6.314000-5 3.906777-5 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.247000-5 3.833392+6 1.288250-5 3.850010+6 1.333521-5 3.899442+6 1.385000-5 3.984372+6 1.445440-5 4.116493+6 1.513561-5 4.298804+6 1.584893-5 4.520173+6 1.678804-5 4.848230+6 1.800000-5 5.319280+6 1.950000-5 5.960480+6 2.162719-5 6.958279+6 2.786121-5 1.027750+7 3.019952-5 1.156121+7 3.198895-5 1.249531+7 3.350000-5 1.320864+7 3.467369-5 1.369298+7 3.589219-5 1.411706+7 3.715352-5 1.445847+7 3.801894-5 1.462775+7 3.900000-5 1.474900+7 4.000000-5 1.479376+7 4.120975-5 1.473957+7 4.229500-5 1.459142+7 4.350000-5 1.432248+7 4.466836-5 1.396639+7 4.570882-5 1.358032+7 4.680000-5 1.311672+7 4.800000-5 1.255136+7 4.900000-5 1.204648+7 5.011872-5 1.145638+7 5.150000-5 1.070636+7 5.270000-5 1.004868+7 5.415200-5 9.260187+6 5.559043-5 8.499878+6 5.688529-5 7.841589+6 5.850000-5 7.063200+6 6.025596-5 6.276317+6 6.165950-5 5.694156+6 6.350000-5 4.994240+6 6.531306-5 4.373712+6 6.730000-5 3.768688+6 6.918310-5 3.262817+6 7.079458-5 2.877916+6 7.244360-5 2.525976+6 7.450000-5 2.140932+6 7.650000-5 1.817824+6 7.852356-5 1.536568+6 8.035261-5 1.317282+6 8.230000-5 1.115888+6 8.450000-5 9.230480+5 8.650000-5 7.753480+5 8.900000-5 6.222120+5 9.150000-5 4.986000+5 9.440609-5 3.854085+5 1.011579-4 2.156131+5 1.035142-4 1.786535+5 1.050000-4 1.597676+5 1.065000-4 1.436956+5 1.080000-4 1.302836+5 1.095000-4 1.192180+5 1.109175-4 1.106656+5 1.122018-4 1.043351+5 1.131000-4 1.006304+5 1.143000-4 9.652200+4 1.155000-4 9.328920+4 1.165000-4 9.119960+4 1.175000-4 8.961080+4 1.188502-4 8.818319+4 1.202264-4 8.748673+4 1.216186-4 8.746831+4 1.230269-4 8.806550+4 1.245000-4 8.926840+4 1.260000-4 9.101880+4 1.280000-4 9.405000+4 1.303167-4 9.836990+4 1.337300-4 1.059062+5 1.430000-4 1.299696+5 1.480000-4 1.435064+5 1.520000-4 1.540528+5 1.566751-4 1.657588+5 1.611900-4 1.762771+5 1.659587-4 1.864675+5 1.705000-4 1.952264+5 1.760000-4 2.045356+5 1.820000-4 2.131424+5 1.883649-4 2.206879+5 1.950000-4 2.269040+5 2.018366-4 2.316821+5 2.089296-4 2.352119+5 2.162719-4 2.375352+5 2.260000-4 2.387132+5 2.371374-4 2.380793+5 2.483133-4 2.356420+5 2.600160-4 2.316128+5 2.730000-4 2.258440+5 2.884032-4 2.176600+5 3.019952-4 2.097412+5 3.200000-4 1.986772+5 3.388442-4 1.869660+5 3.600000-4 1.741440+5 3.845918-4 1.598866+5 4.073803-4 1.475670+5 4.365158-4 1.330004+5 4.677351-4 1.189728+5 5.011872-4 1.057039+5 5.370318-4 9.338947+4 5.821032-4 8.021730+4 6.309573-4 6.836552+4 6.839116-4 5.784428+4 7.413102-4 4.862666+4 8.128305-4 3.957753+4 8.912509-4 3.196852+4 9.885531-4 2.494792+4 1.083927-3 1.987588+4 1.202264-3 1.527518+4 1.333521-3 1.164811+4 1.479108-3 8.819406+3 1.640590-3 6.628242+3 1.819701-3 4.944557+3 2.018366-3 3.661530+3 2.238721-3 2.691534+3 2.483133-3 1.964458+3 2.754229-3 1.423824+3 3.054921-3 1.024926+3 3.427678-3 7.057074+2 3.845918-3 4.821237+2 4.315191-3 3.269927+2 4.841724-3 2.201397+2 5.432503-3 1.470285+2 6.165950-3 9.355515+1 6.998420-3 5.911597+1 7.943282-3 3.707166+1 9.015711-3 2.305911+1 1.023293-2 1.423709+1 1.161449-2 8.728782+0 1.333521-2 5.080768+0 1.531087-2 2.936065+0 1.778279-2 1.608807+0 2.065380-2 8.751683-1 2.454709-2 4.299385-1 2.951209-2 1.998655-1 3.715352-2 7.605721-2 7.673615-2 3.549547-3 9.549926-2 1.417846-3 1.148154-1 6.590120-4 1.348963-1 3.395696-4 1.548817-1 1.937030-4 1.757924-1 1.165650-4 2.000000-1 7.000000-5 2.238721-1 4.513975-5 2.511886-1 2.904821-5 2.786121-1 1.966515-5 3.090295-1 1.340158-5 3.427678-1 9.197259-6 3.801894-1 6.359881-6 4.216965-1 4.432634-6 4.623810-1 3.238966-6 5.011872-1 2.476517-6 5.495409-1 1.836816-6 6.025596-1 1.372559-6 6.606935-1 1.032135-6 7.244360-1 7.819891-7 8.609938-1 4.719174-7 9.120108-1 4.017741-7 9.549926-1 3.555165-7 1.000000+0 3.167600-7 1.047129+0 2.844406-7 1.096478+0 2.573039-7 1.148154+0 2.342521-7 1.216186+0 2.099123-7 1.318257+0 1.816985-7 1.548817+0 1.378714-7 1.862087+0 1.002619-7 2.089296+0 8.270964-8 2.344229+0 6.876070-8 2.660725+0 5.657012-8 3.090295+0 4.531360-8 3.589219+0 3.656031-8 4.216965+0 2.925374-8 4.954502+0 2.358542-8 5.888437+0 1.886639-8 7.079458+0 1.497994-8 8.709636+0 1.164892-8 1.083927+1 9.004016-9 1.428894+1 6.563846-9 1.905461+1 4.769758-9 2.630268+1 3.363904-9 3.801894+1 2.275907-9 6.095369+1 1.392756-9 1.148154+2 7.28454-10 2.290868+2 3.61952-10 4.570882+2 1.80619-10 1.819701+3 4.52217-11 1.000000+5 8.22170-13 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.247000-5 1.247000-5 1.000000+5 1.247000-5 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.247000-5 0.0 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.186000-5 5.854512+6 1.220000-5 5.901924+6 1.260000-5 5.993484+6 1.303167-5 6.124265+6 1.364583-5 6.356254+6 1.428894-5 6.644769+6 1.513561-5 7.077568+6 1.621810-5 7.696328+6 1.778279-5 8.683963+6 2.018366-5 1.034825+7 2.730000-5 1.595322+7 2.951209-5 1.773178+7 3.126079-5 1.905133+7 3.273407-5 2.005749+7 3.400000-5 2.080890+7 3.507519-5 2.134209+7 3.630781-5 2.181860+7 3.730000-5 2.208240+7 3.850000-5 2.224932+7 3.950000-5 2.225784+7 4.070000-5 2.211114+7 4.180000-5 2.182926+7 4.300000-5 2.136930+7 4.415704-5 2.078912+7 4.518559-5 2.017602+7 4.623810-5 1.947033+7 4.731513-5 1.868345+7 4.850000-5 1.776222+7 4.954502-5 1.691711+7 5.080000-5 1.588002+7 5.190000-5 1.496550+7 5.308844-5 1.398552+7 5.450000-5 1.284888+7 5.580000-5 1.184130+7 5.730000-5 1.073646+7 5.900000-5 9.567660+6 6.070000-5 8.491860+6 6.237348-5 7.524589+6 6.400000-5 6.670440+6 6.580000-5 5.820360+6 6.760830-5 5.061067+6 6.950000-5 4.360038+6 7.150000-5 3.712698+6 7.350000-5 3.151842+6 7.500000-5 2.782320+6 7.673615-5 2.403895+6 7.852356-5 2.063955+6 8.035261-5 1.762345+6 8.230000-5 1.486404+6 8.450000-5 1.223328+6 8.650000-5 1.022868+6 8.900000-5 8.163600+5 9.150000-5 6.509640+5 9.500000-5 4.749258+5 9.980000-5 3.129144+5 1.020000-4 2.617548+5 1.036400-4 2.310387+5 1.050000-4 2.097174+5 1.065000-4 1.900584+5 1.075000-4 1.789638+5 1.085000-4 1.693230+5 1.096478-4 1.598948+5 1.109175-4 1.513116+5 1.120000-4 1.453752+5 1.131000-4 1.405188+5 1.143000-4 1.364436+5 1.155000-4 1.335150+5 1.165000-4 1.318644+5 1.175000-4 1.308636+5 1.188502-4 1.304427+5 1.202264-4 1.309908+5 1.216186-4 1.324240+5 1.230269-4 1.346582+5 1.245000-4 1.377240+5 1.260000-4 1.414998+5 1.280000-4 1.473864+5 1.315000-4 1.594518+5 1.412538-4 1.989806+5 1.450000-4 2.147154+5 1.496236-4 2.335871+5 1.540000-4 2.505174+5 1.584893-4 2.667258+5 1.621810-4 2.790545+5 1.670000-4 2.936514+5 1.720000-4 3.069846+5 1.780000-4 3.207156+5 1.840772-4 3.322115+5 1.905461-4 3.418731+5 1.980000-4 3.502092+5 2.041738-4 3.551747+5 2.120000-4 3.590994+5 2.220000-4 3.610722+5 2.317395-4 3.603417+5 2.426610-4 3.568619+5 2.540973-4 3.511373+5 2.660725-4 3.430672+5 2.800000-4 3.321180+5 2.951209-4 3.186236+5 3.090295-4 3.056563+5 3.300000-4 2.855274+5 3.490000-4 2.675820+5 3.715352-4 2.471942+5 3.981072-4 2.247842+5 4.216965-4 2.063259+5 4.518559-4 1.848591+5 4.841724-4 1.644701+5 5.248075-4 1.424278+5 5.688529-4 1.223798+5 6.165950-4 1.043314+5 6.683439-4 8.828493+4 7.328245-4 7.236038+4 8.035261-4 5.883592+4 8.810489-4 4.747104+4 9.772372-4 3.699193+4 1.083927-3 2.859483+4 1.202264-3 2.193004+4 1.333521-3 1.668904+4 1.479108-3 1.260477+4 1.640590-3 9.451374+3 1.819701-3 7.034862+3 2.018366-3 5.197694+3 2.238721-3 3.811452+3 2.483133-3 2.774909+3 2.754229-3 2.006136+3 3.054921-3 1.440441+3 3.388442-3 1.027352+3 3.801894-3 7.004134+2 4.265795-3 4.738674+2 4.786301-3 3.182321+2 5.370318-3 2.121923+2 5.956621-3 1.463886+2 6.683439-3 9.615137+1 7.585776-3 6.009938+1 8.709636-3 3.571438+1 9.885531-3 2.200372+1 1.122018-2 1.345559+1 1.288250-2 7.806363+0 1.479108-2 4.494126+0 1.698244-2 2.568881+0 1.972423-2 1.391013+0 2.290868-2 7.475562-1 2.722701-2 3.622862-1 3.273407-2 1.660201-1 4.168694-2 5.909387-2 7.852356-2 3.891657-3 9.660509-2 1.608225-3 1.148154-1 7.748526-4 1.318257-1 4.348346-4 1.500000-1 2.551100-4 1.698244-1 1.539305-4 1.905461-1 9.707050-5 2.113489-1 6.454660-5 2.344229-1 4.323343-5 2.570396-1 3.048121-5 2.818383-1 2.163918-5 3.090295-1 1.547542-5 3.388442-1 1.115363-5 3.672823-1 8.430613-6 4.000000-1 6.312700-6 4.315191-1 4.911428-6 4.677351-1 3.787936-6 5.011872-1 3.050183-6 5.432503-1 2.387681-6 5.888437-1 1.883122-6 6.382635-1 1.495274-6 6.918310-1 1.195591-6 7.498942-1 9.628870-7 8.413951-1 7.139674-7 8.912509-1 6.180570-7 9.440609-1 5.383615-7 1.000000+0 4.723700-7 1.071519+0 4.075109-7 1.148154+0 3.541642-7 1.216186+0 3.169410-7 1.333521+0 2.675454-7 1.531087+0 2.096763-7 1.778279+0 1.616634-7 2.041738+0 1.281044-7 2.290868+0 1.063314-7 2.570396+0 8.890071-8 2.951209+0 7.229316-8 3.427678+0 5.819474-8 4.000000+0 4.689100-8 4.677351+0 3.795370-8 5.559043+0 3.028339-8 6.683439+0 2.398969-8 8.128305+0 1.887448-8 1.011579+1 1.455242-8 1.288250+1 1.101138-8 1.531087+1 9.061713-9 2.041738+1 6.595423-9 2.851018+1 4.602377-9 4.168694+1 3.081641-9 6.683439+1 1.889106-9 1.288250+2 9.66328-10 2.570396+2 4.80607-10 1.023293+3 1.19989-10 1.000000+5 1.22610-12 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.186000-5 1.186000-5 1.000000+5 1.186000-5 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.186000-5 0.0 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 6.890000-6 1.776810+6 6.950000-6 1.706820+6 7.328245-6 1.306071+6 7.673615-6 1.028421+6 8.000000-6 8.240250+5 8.350000-6 6.520910+5 8.709636-6 5.143078+5 9.015711-6 4.210420+5 9.350000-6 3.389540+5 9.700000-6 2.704040+5 1.000000-5 2.228850+5 1.035142-5 1.777160+5 1.060000-5 1.513600+5 1.088100-5 1.261585+5 1.122018-5 1.011296+5 1.150000-5 8.414750+4 1.180000-5 6.897100+4 1.202264-5 5.942423+4 1.230269-5 4.917879+4 1.260000-5 4.013140+4 1.290000-5 3.260570+4 1.320000-5 2.642790+4 1.350000-5 2.137890+4 1.380384-5 1.722878+4 1.470000-5 9.235880+3 1.496236-5 7.798614+3 1.515000-5 6.961790+3 1.531087-5 6.356881+3 1.545000-5 5.909860+3 1.560000-5 5.500250+3 1.575000-5 5.159460+3 1.590000-5 4.881590+3 1.605000-5 4.661180+3 1.615000-5 4.543700+3 1.626900-5 4.432353+3 1.640590-5 4.339840+3 1.655000-5 4.280330+3 1.670000-5 4.256100+3 1.685000-5 4.266880+3 1.700000-5 4.309480+3 1.715000-5 4.380940+3 1.730000-5 4.478540+3 1.750000-5 4.645040+3 1.770000-5 4.848200+3 1.793000-5 5.120910+3 1.830000-5 5.631810+3 1.935000-5 7.397950+3 1.980000-5 8.232370+3 2.020000-5 8.989600+3 2.070000-5 9.940170+3 2.113489-5 1.075969+4 2.162719-5 1.166924+4 2.213400-5 1.257795+4 2.270000-5 1.355230+4 2.330000-5 1.453330+4 2.398833-5 1.558847+4 2.470000-5 1.659870+4 2.540973-5 1.752475+4 2.610000-5 1.834950+4 2.691535-5 1.923203+4 2.786121-5 2.013995+4 2.900000-5 2.108280+4 3.019952-5 2.191705+4 3.150000-5 2.265900+4 3.300000-5 2.333410+4 3.467369-5 2.389766+4 3.650000-5 2.432840+4 3.850000-5 2.462440+4 4.073803-5 2.478796+4 4.365158-5 2.480563+4 4.677351-5 2.464261+4 5.069907-5 2.425752+4 5.500000-5 2.369120+4 6.000000-5 2.292380+4 6.531306-5 2.203022+4 7.079458-5 2.107004+4 7.673615-5 2.001800+4 8.317638-5 1.888980+4 9.015711-5 1.769752+4 9.800000-5 1.642150+4 1.059254-4 1.521475+4 1.161449-4 1.378873+4 1.273503-4 1.240340+4 1.412538-4 1.092543+4 1.603245-4 9.280332+3 1.883649-4 7.470746+3 2.570396-4 4.848759+3 3.630781-4 2.986501+3 4.073803-4 2.526170+3 4.623810-4 2.082703+3 5.248075-4 1.705652+3 6.606934-4 1.173284+3 8.317638-4 8.034933+2 9.440609-4 6.483352+2 1.216186-3 4.173448+2 1.513561-3 2.831511+2 1.883649-3 1.905582+2 2.398833-3 1.220623+2 2.917427-3 8.450298+1 3.630781-3 5.556403+1 4.315191-3 3.959250+1 5.128614-3 2.799648+1 6.237348-3 1.874419+1 7.413102-3 1.307123+1 8.810489-3 9.048726+0 1.047129-2 6.216138+0 1.244515-2 4.236131+0 1.462177-2 2.939979+0 1.717908-2 2.025650+0 2.018366-2 1.385495+0 2.371374-2 9.405864-1 2.786121-2 6.338614-1 3.273407-2 4.239813-1 3.845918-2 2.815313-1 4.570882-2 1.801664-1 5.370318-2 1.179374-1 6.456542-2 7.209712-2 7.852356-2 4.240707-2 9.549926-2 2.471857-2 1.244515-1 1.180418-2 2.344229-1 1.995572-3 2.818383-1 1.197787-3 3.311311-1 7.718818-4 3.801894-1 5.335249-4 4.315191-1 3.831503-4 4.841724-1 2.856080-4 5.370318-1 2.206940-4 6.000000-1 1.687300-4 6.683439-1 1.309829-4 7.413102-1 1.034818-4 8.222427-1 8.237676-5 9.015711-1 6.769985-5 9.885531-1 5.600994-5 1.148154+0 4.156619-5 1.258925+0 3.484123-5 1.428894+0 2.751797-5 1.566751+0 2.330898-5 1.778279+0 1.871242-5 2.044000+0 1.481400-5 2.290868+0 1.231986-5 2.600160+0 1.012101-5 2.985383+0 8.235099-6 3.467369+0 6.632496-6 4.027170+0 5.382119-6 4.731513+0 4.330281-6 5.623413+0 3.456923-6 6.760830+0 2.739685-6 8.222427+0 2.156475-6 1.011579+1 1.686010-6 1.288250+1 1.275732-6 1.531087+1 1.049822-6 2.041738+1 7.640896-7 2.851018+1 5.331964-7 4.168694+1 3.570160-7 6.683439+1 2.188524-7 1.288250+2 1.119501-7 2.570396+2 5.567900-8 1.023293+3 1.390154-8 1.000000+5 1.42040-10 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 6.890000-6 6.890000-6 1.000000+5 6.890000-6 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 6.890000-6 0.0 1.000000+5 1.000000+5 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.333950-7 1.028100+0 9.864980-7 1.028750+0 1.333950-6 1.029500+0 1.825550-6 1.030100+0 2.295850-6 1.031000+0 3.141500-6 1.032000+0 4.298360-6 1.033200+0 6.021270-6 1.034000+0 7.391670-6 1.035300+0 1.003310-5 1.036640+0 1.333950-5 1.038200+0 1.800210-5 1.039700+0 2.338830-5 1.041500+0 3.111790-5 1.043800+0 4.319260-5 1.046400+0 6.009440-5 1.048300+0 7.481910-5 1.051200+0 1.014910-4 1.054080+0 1.333950-4 1.057700+0 1.818260-4 1.061100+0 2.365110-4 1.065100+0 3.131160-4 1.070400+0 4.368320-4 1.076200+0 6.037040-4 1.080600+0 7.539270-4 1.087100+0 1.015780-3 1.093710+0 1.333950-3 1.102600+0 1.849420-3 1.110700+0 2.411880-3 1.120600+0 3.226120-3 1.133300+0 4.485300-3 1.147500+0 6.192470-3 1.158200+0 7.695630-3 1.174100+0 1.028640-2 1.190110+0 1.333950-2 1.205100+0 1.661020-2 1.227500+0 2.223730-2 1.250000+0 2.872000-2 1.265600+0 3.364420-2 1.294900+0 4.373220-2 1.331800+0 5.775530-2 1.362600+0 7.037410-2 1.397000+0 8.527780-2 1.455800+0 1.124720-1 1.500000+0 1.344000-1 1.589800+0 1.834600-1 1.665000+0 2.290420-1 1.784700+0 3.088340-1 1.892300+0 3.861240-1 2.000000+0 4.660000-1 2.044000+0 4.987000-1 2.163500+0 5.881380-1 2.372600+0 7.457860-1 2.647100+0 9.509930-1 3.000000+0 1.207000+0 3.437500+0 1.508040+0 4.000000+0 1.869000+0 4.750000+0 2.308010+0 5.000000+0 2.444000+0 6.000000+0 2.941000+0 7.000000+0 3.384000+0 8.000000+0 3.783000+0 9.000000+0 4.146000+0 1.000000+1 4.478000+0 1.100000+1 4.783000+0 1.200000+1 5.064000+0 1.300000+1 5.324000+0 1.400000+1 5.564000+0 1.500000+1 5.785000+0 1.600000+1 5.993000+0 1.800000+1 6.373000+0 2.000000+1 6.712000+0 2.200000+1 7.020000+0 2.400000+1 7.300000+0 2.600000+1 7.555000+0 2.800000+1 7.788000+0 3.000000+1 8.004000+0 4.000000+1 8.878000+0 5.000000+1 9.526000+0 6.000000+1 1.003000+1 8.000000+1 1.078000+1 1.000000+2 1.131000+1 1.500000+2 1.215000+1 2.000000+2 1.265000+1 3.000000+2 1.324000+1 4.000000+2 1.357000+1 5.000000+2 1.379000+1 6.000000+2 1.395000+1 8.000000+2 1.416000+1 1.000000+3 1.430000+1 1.500000+3 1.450000+1 2.000000+3 1.460000+1 3.000000+3 1.472000+1 4.000000+3 1.478000+1 5.000000+3 1.482000+1 6.000000+3 1.485000+1 8.000000+3 1.488000+1 1.000000+4 1.491000+1 1.500000+4 1.494000+1 2.000000+4 1.496000+1 3.000000+4 1.497000+1 4.000000+4 1.498000+1 5.000000+4 1.499000+1 6.000000+4 1.499000+1 8.000000+4 1.500000+1 1.000000+5 1.500000+1 1 47000 7 8 1.078700+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 4.716280-7 2.099900+0 1.104620-6 2.106600+0 1.536620-6 2.114000+0 2.126100-6 2.119500+0 2.646980-6 2.127900+0 3.589810-6 2.136250+0 4.716280-6 2.147000+0 6.466350-6 2.156900+0 8.399010-6 2.169000+0 1.120900-5 2.184500+0 1.558090-5 2.201800+0 2.155660-5 2.214800+0 2.685790-5 2.234200+0 3.612860-5 2.253680+0 4.716280-5 2.281500+0 6.605980-5 2.307000+0 8.676930-5 2.338200+0 1.166690-4 2.377400+0 1.615720-4 2.410200+0 2.054930-4 2.446800+0 2.613980-4 2.485900+0 3.291150-4 2.532900+0 4.211970-4 2.556430+0 4.716280-4 2.611900+0 6.013800-4 2.660400+0 7.270390-4 2.745300+0 9.730990-4 2.809000+0 1.178480-3 2.904500+0 1.518190-3 3.000000+0 1.895000-3 3.125000+0 2.443450-3 3.234400+0 2.973010-3 3.425800+0 4.003240-3 3.569300+0 4.854040-3 3.784700+0 6.239470-3 4.000000+0 7.729000-3 4.250000+0 9.550530-3 4.625000+0 1.241380-2 5.000000+0 1.539000-2 5.500000+0 1.947270-2 6.000000+0 2.361000-2 6.750000+0 2.977190-2 7.000000+0 3.180000-2 8.000000+0 3.973000-2 9.000000+0 4.731000-2 1.000000+1 5.452000-2 1.100000+1 6.134000-2 1.200000+1 6.776000-2 1.300000+1 7.382000-2 1.400000+1 7.959000-2 1.500000+1 8.504000-2 1.600000+1 9.022000-2 1.800000+1 9.982000-2 2.000000+1 1.086000-1 2.200000+1 1.165000-1 2.400000+1 1.239000-1 2.600000+1 1.307000-1 2.800000+1 1.369000-1 3.000000+1 1.428000-1 4.000000+1 1.670000-1 5.000000+1 1.854000-1 6.000000+1 2.000000-1 8.000000+1 2.219000-1 1.000000+2 2.379000-1 1.500000+2 2.644000-1 2.000000+2 2.809000-1 3.000000+2 3.012000-1 4.000000+2 3.133000-1 5.000000+2 3.215000-1 6.000000+2 3.276000-1 8.000000+2 3.359000-1 1.000000+3 3.415000-1 1.500000+3 3.497000-1 2.000000+3 3.543000-1 3.000000+3 3.594000-1 4.000000+3 3.623000-1 5.000000+3 3.641000-1 6.000000+3 3.654000-1 8.000000+3 3.671000-1 1.000000+4 3.682000-1 1.500000+4 3.696000-1 2.000000+4 3.705000-1 3.000000+4 3.713000-1 4.000000+4 3.718000-1 5.000000+4 3.721000-1 6.000000+4 3.723000-1 8.000000+4 3.725000-1 1.000000+5 3.727000-1 1 47000 7 8 1.078700+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 47000 7 9 1.078700+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 4.700000+1 1.000000+5 4.700000+1 5.000000+5 4.698700+1 1.000000+6 4.695900+1 1.375000+6 4.692980+1 1.500000+6 4.691700+1 2.000000+6 4.685200+1 2.500000+6 4.677000+1 3.000000+6 4.667100+1 3.500000+6 4.655540+1 4.000000+6 4.642500+1 4.500000+6 4.628140+1 5.000000+6 4.612300+1 5.687500+6 4.587910+1 6.437500+6 4.559000+1 6.500000+6 4.556290+1 7.000000+6 4.535600+1 7.875000+6 4.496970+1 8.500000+6 4.467620+1 8.625000+6 4.461450+1 9.000000+6 4.443500+1 1.000000+7 4.392900+1 1.125000+7 4.326640+1 1.187500+7 4.292270+1 1.250000+7 4.257600+1 1.437500+7 4.149650+1 1.500000+7 4.113100+1 1.687500+7 4.001630+1 1.750000+7 3.964300+1 2.000000+7 3.813700+1 2.250000+7 3.663210+1 2.500000+7 3.515300+1 2.750000+7 3.371760+1 2.875000+7 3.301900+1 3.000000+7 3.234100+1 3.437500+7 3.009920+1 3.500000+7 2.979950+1 4.000000+7 2.757500+1 4.750000+7 2.480250+1 5.000000+7 2.401900+1 5.750000+7 2.201310+1 6.000000+7 2.144000+1 6.750000+7 1.994830+1 7.000000+7 1.950900+1 7.750000+7 1.830100+1 8.000000+7 1.792700+1 8.750000+7 1.684990+1 9.000000+7 1.650400+1 9.750000+7 1.548670+1 1.000000+8 1.515600+1 1.062500+8 1.434060+1 1.144500+8 1.330800+1 1.187500+8 1.278290+1 1.214800+8 1.245750+1 1.250000+8 1.204500+1 1.312500+8 1.133610+1 1.406300+8 1.035150+1 1.500000+8 9.479000+0 1.750000+8 7.674810+0 1.875000+8 7.015700+0 2.000000+8 6.485200+0 2.125000+8 6.060780+0 2.218800+8 5.796780+0 2.359400+8 5.468020+0 2.375000+8 5.435720+0 2.500000+8 5.201300+0 2.812500+8 4.727970+0 2.937500+8 4.540860+0 3.000000+8 4.443300+0 3.125000+8 4.235460+0 3.500000+8 3.685200+0 3.812500+8 3.346960+0 3.937500+8 3.213360+0 4.000000+8 3.143000+0 4.125000+8 2.994040+0 4.234400+8 2.859620+0 4.425800+8 2.628020+0 4.750000+8 2.277700+0 4.928200+8 2.116600+0 5.000000+8 2.058500+0 5.234400+8 1.894680+0 5.507800+8 1.740890+0 5.835900+8 1.592070+0 6.000000+8 1.527800+0 6.343800+8 1.410650+0 6.578100+8 1.344690+0 6.859400+8 1.280420+0 7.000000+8 1.254300+0 7.250000+8 1.217440+0 8.000000+8 1.130300+0 8.250000+8 1.099980+0 8.687500+8 1.043810+0 9.261700+8 9.696170-1 1.000000+9 8.822000-1 1.125000+9 7.611130-1 1.218800+9 6.847560-1 1.289100+9 6.325710-1 1.361600+9 5.821380-1 1.375000+9 5.731560-1 1.440700+9 5.303990-1 1.500000+9 4.936000-1 1.562500+9 4.566330-1 1.641100+9 4.132300-1 1.706900+9 3.797290-1 1.811600+9 3.318220-1 1.905800+9 2.941550-1 2.000000+9 2.612300-1 2.139200+9 2.201240-1 2.272600+9 1.877440-1 2.443000+9 1.542910-1 2.602800+9 1.292540-1 2.825100+9 1.021240-1 3.088500+9 7.843130-2 3.327400+9 6.255320-2 3.634100+9 4.758310-2 3.975600+9 3.580090-2 4.423800+9 2.536360-2 5.000000+9 1.696800-2 5.750000+9 1.065340-2 6.875000+9 5.836370-3 8.000000+9 3.493300-3 1.00000+10 1.642500-3 1.20500+10 8.799470-4 1.41820+10 5.129300-4 1.71110+10 2.770620-4 2.01380+10 1.632090-4 2.41190+10 9.128650-5 2.88610+10 5.146100-5 3.54590+10 2.681960-5 4.35270+10 1.409520-5 5.38800+10 7.254800-6 7.03510+10 3.183930-6 9.01170+10 1.491210-6 1.00000+11 1.085700-6 1.34280+11 4.438020-7 1.77440+11 1.914980-7 2.63330+11 5.872150-8 3.75720+11 2.041740-8 6.61190+11 3.860290-9 1.48990+12 3.61595-10 4.26460+12 1.74887-11 1.00000+14 2.20740-15 5.62340+14 1.58662-17 7.49890+15 9.15431-21 1.00000+17 5.10190-24 1 47000 7 0 1.078700+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 5.20000-12 1.000000+2 5.20000-10 1.000000+3 5.200000-8 1.000000+4 5.200000-6 1.000000+5 5.200000-4 5.000000+5 1.300000-2 1.000000+6 5.200000-2 1.375000+6 9.813160-2 1.500000+6 1.166000-1 2.000000+6 2.051000-1 2.500000+6 3.161000-1 3.000000+6 4.478000-1 3.500000+6 5.981150-1 4.000000+6 7.649000-1 4.500000+6 9.459800-1 5.000000+6 1.139000+0 5.687500+6 1.419720+0 6.437500+6 1.741390+0 6.500000+6 1.768810+0 7.000000+6 1.990200+0 7.875000+6 2.385180+0 8.500000+6 2.671310+0 8.625000+6 2.728590+0 9.000000+6 2.901300+0 1.000000+7 3.362000+0 1.125000+7 3.935620+0 1.187500+7 4.221190+0 1.250000+7 4.505900+0 1.437500+7 5.352040+0 1.500000+7 5.631000+0 1.687500+7 6.455870+0 1.750000+7 6.726800+0 2.000000+7 7.785000+0 2.250000+7 8.799470+0 2.500000+7 9.770300+0 2.750000+7 1.070010+1 2.875000+7 1.115220+1 3.000000+7 1.159800+1 3.437500+7 1.310790+1 3.500000+7 1.331890+1 4.000000+7 1.496900+1 4.750000+7 1.732980+1 5.000000+7 1.808200+1 5.750000+7 2.020060+1 6.000000+7 2.085800+1 6.750000+7 2.266170+1 7.000000+7 2.321200+1 7.750000+7 2.470700+1 8.000000+7 2.516200+1 8.750000+7 2.640770+1 9.000000+7 2.679200+1 9.750000+7 2.785960+1 1.000000+8 2.819500+1 1.062500+8 2.898820+1 1.144500+8 2.995820+1 1.187500+8 3.043940+1 1.214800+8 3.073310+1 1.250000+8 3.110600+1 1.312500+8 3.173780+1 1.406300+8 3.263420+1 1.500000+8 3.346500+1 1.750000+8 3.539600+1 1.875000+8 3.622590+1 2.000000+8 3.698300+1 2.125000+8 3.766600+1 2.218800+8 3.814240+1 2.359400+8 3.879770+1 2.375000+8 3.886800+1 2.500000+8 3.939500+1 2.812500+8 4.054010+1 2.937500+8 4.094160+1 3.000000+8 4.113100+1 3.125000+8 4.148890+1 3.500000+8 4.241500+1 3.812500+8 4.303940+1 3.937500+8 4.325390+1 4.000000+8 4.335900+1 4.125000+8 4.355170+1 4.234400+8 4.370460+1 4.425800+8 4.395540+1 4.750000+8 4.431680+1 4.928200+8 4.448420+1 5.000000+8 4.455000+1 5.234400+8 4.473870+1 5.507800+8 4.492750+1 5.835900+8 4.512590+1 6.000000+8 4.521700+1 6.343800+8 4.538090+1 6.578100+8 4.548440+1 6.859400+8 4.559590+1 7.000000+8 4.565000+1 7.250000+8 4.573470+1 8.000000+8 4.596800+1 8.250000+8 4.603230+1 8.687500+8 4.614050+1 9.261700+8 4.626660+1 1.000000+9 4.640600+1 1.125000+9 4.658280+1 1.218800+9 4.667990+1 1.289100+9 4.674050+1 1.361600+9 4.679200+1 1.375000+9 4.680120+1 1.440700+9 4.683500+1 1.500000+9 4.686400+1 1.562500+9 4.688320+1 1.641100+9 4.690640+1 1.706900+9 4.692490+1 1.811600+9 4.694160+1 1.905800+9 4.695460+1 2.000000+9 4.696700+1 2.139200+9 4.697680+1 2.272600+9 4.698550+1 2.443000+9 4.699360+1 2.602800+9 4.699730+1 2.825100+9 4.700210+1 3.088500+9 4.700600+1 3.327400+9 4.700510+1 3.634100+9 4.700400+1 3.975600+9 4.700290+1 4.423800+9 4.700150+1 5.000000+9 4.700000+1 5.750000+9 4.700000+1 6.875000+9 4.700000+1 8.000000+9 4.700000+1 1.00000+10 4.700000+1 1.20500+10 4.700000+1 1.41820+10 4.700000+1 1.71110+10 4.700000+1 2.01380+10 4.700000+1 2.41190+10 4.700000+1 2.88610+10 4.700000+1 3.54590+10 4.700000+1 4.35270+10 4.700000+1 5.38800+10 4.700000+1 7.03510+10 4.700000+1 9.01170+10 4.700000+1 1.00000+11 4.700000+1 1.34280+11 4.700000+1 1.77440+11 4.700000+1 2.63330+11 4.700000+1 3.75720+11 4.700000+1 6.61190+11 4.700000+1 1.48990+12 4.700000+1 4.26460+12 4.700000+1 1.00000+14 4.700000+1 5.62340+14 4.700000+1 7.49890+15 4.700000+1 1.00000+17 4.700000+1 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.023050-6 0.0 3.430649-6 0.0 3.443315-6 1.388732+0 3.447537-6 1.845771+0 3.455981-6 3.371452+0 3.464425-6 5.684731+0 3.473925-6 9.330347+0 3.488570-6 1.627748+1 3.499257-6 2.098062+1 3.507174-6 2.339670+1 3.515865-6 2.426213+1 3.524309-6 2.322211+1 3.536860-6 1.989626+1 3.549131-6 1.673313+1 3.557600-6 1.589522+1 3.566291-6 1.735926+1 3.575255-6 2.161441+1 3.585856-6 2.953871+1 3.601330-6 4.194944+1 3.610810-6 4.734170+1 3.618638-6 4.897008+1 3.627660-6 4.677637+1 3.637115-6 4.066232+1 3.650798-6 2.818211+1 3.661629-6 1.826767+1 3.670320-6 1.179297+1 3.679012-6 7.027769+0 3.687704-6 3.866033+0 3.700741-6 9.827614-1 3.705087-6 0.0 4.534909-6 0.0 4.546071-6 4.25055-15 4.557233-6 8.41066-15 4.568395-6 1.53628-14 4.579557-6 2.59037-14 4.590719-6 4.03189-14 4.601882-6 5.79308-14 4.613044-6 7.68359-14 4.624206-6 9.40746-14 4.635368-6 1.06325-13 4.646530-6 1.10931-13 4.657692-6 1.06837-13 4.668854-6 9.49830-14 4.680016-6 7.79514-14 4.702341-6 4.12992-14 4.713503-6 2.66614-14 4.724665-6 1.58883-14 4.735827-6 8.74026-15 4.746989-6 4.43840-15 4.758151-6 0.0 4.822461-6 0.0 4.834331-6 1.749684-7 4.846201-6 3.462142-7 4.858071-6 6.323885-7 4.869941-6 1.066294-6 4.881811-6 1.659678-6 4.893680-6 2.384649-6 4.905550-6 3.162853-6 4.917420-6 3.872465-6 4.929290-6 4.376731-6 4.941160-6 4.566319-6 4.953030-6 4.397810-6 4.964900-6 3.909855-6 4.976770-6 3.208772-6 5.000509-6 1.700032-6 5.012379-6 1.097481-6 5.024249-6 6.540204-7 5.036119-6 3.597820-7 5.047989-6 1.827013-7 5.059859-6 0.0 5.276779-6 0.0 5.302755-6 7.717497-2 5.306409-6 9.509225-2 5.315743-6 2.138954-1 5.329681-6 4.275658-1 5.332940-6 4.880283-1 5.346001-6 8.002570-1 5.360201-6 1.269256+0 5.397939-6 2.838604+0 5.412282-6 3.290568+0 5.423959-6 3.498887+0 5.438193-6 3.460253+0 5.451728-6 3.163378+0 5.471233-6 2.416640+0 5.492572-6 1.494957+0 5.502325-6 1.114116+0 5.515386-6 7.061440-1 5.528447-6 4.071409-1 5.536541-6 2.754095-1 5.541508-6 2.099987-1 5.562719-6 4.016639-2 5.567631-6 3.911697-6 5.571190-6 3.955448-6 5.584573-6 3.809482-6 5.597957-6 3.386804-6 5.611340-6 2.779510-6 5.638107-6 1.472606-6 5.651490-6 9.506630-7 5.664874-6 5.665271-7 5.678257-6 3.116512-7 5.691640-6 1.582599-7 5.705024-6 0.0 5.914580-6 0.0 5.927112-6 7.971412-3 5.943696-6 4.835673-2 5.956289-6 8.384462-2 5.970878-6 1.491315-1 5.985467-6 2.451782-1 6.004020-6 4.130523-1 6.040502-6 7.821852-1 6.047422-6 8.373014-1 6.060160-6 9.077747-1 6.076538-6 9.140296-1 6.091096-6 8.499710-1 6.105996-6 7.275530-1 6.142966-6 3.491302-1 6.147508-6 3.057113-1 6.160533-6 2.032485-1 6.175122-6 1.196693-1 6.189711-6 6.508878-2 6.205740-6 2.493357-2 6.210225-6 1.661826-2 6.215933-6 7.164092-3 6.218888-6 4.376955-3 6.240049-6 2.443163-2 6.246532-6 3.153638-2 6.255333-6 4.531610-2 6.261832-6 5.682246-2 6.270617-6 7.767796-2 6.277132-6 9.458954-2 6.292431-6 1.454665-1 6.331752-6 3.050805-1 6.347036-6 3.528139-1 6.353630-6 3.681783-1 6.369825-6 3.799815-1 6.385503-6 3.665681-1 6.401182-6 3.282252-1 6.432539-6 2.297551-1 6.448217-6 1.944687-1 6.460728-6 1.785281-1 6.469307-6 1.754257-1 6.479574-6 1.795709-1 6.546206-6 2.311193-1 6.597504-6 2.163292-1 6.622622-6 2.072472-1 6.755423-6 1.929641-1 6.810159-6 1.833409-1 6.924248-6 1.776250-1 7.054450-6 1.593967-1 7.568161-6 1.198294-1 8.049440-6 9.190746-2 8.353704-6 7.785294-2 8.395308-6 1.512798+0 8.415622-6 2.669834+0 8.435951-6 4.415531+0 8.459082-6 7.198583+0 8.495105-6 1.255812+1 8.519482-6 1.596485+1 8.540938-6 1.797061+1 8.560832-6 1.860974+1 8.583210-6 1.765231+1 8.604138-6 1.547400+1 8.659390-6 7.384200+0 8.682689-6 4.533203+0 8.703251-6 2.727061+0 8.723813-6 1.528440+0 8.749515-6 6.209907-1 8.764936-6 6.226691-2 8.868005-6 5.889536-2 8.912342-6 9.265460-1 8.934170-6 1.637456+0 8.956679-6 2.757856+0 8.978255-6 4.242504+0 9.043307-6 9.914444+0 9.068192-6 1.143765+1 9.086621-6 1.204610+1 9.110111-6 1.187205+1 9.133857-6 1.082257+1 9.159607-6 9.018932+0 9.206331-6 5.372651+0 9.217245-6 4.579972+0 9.239072-6 3.262429+0 9.260900-6 2.234187+0 9.302140-6 8.026146-1 9.304555-6 7.245450-1 9.321800-6 5.205173-1 9.343875-6 3.282618-1 9.365951-6 2.005351-1 9.410101-6 4.395891-2 9.933684-6 3.309666-2 1.012889-5 2.976441-2 1.017875-5 3.302798-1 1.020484-5 5.964045-1 1.022878-5 9.596090-1 1.025813-5 1.588714+0 1.032342-5 3.272082+0 1.035538-5 3.847124+0 1.038213-5 3.975429+0 1.040713-5 3.783079+0 1.043483-5 3.259659+0 1.050496-5 1.459600+0 1.052779-5 9.790909-1 1.055272-5 5.928100-1 1.057765-5 3.364098-1 1.061701-5 8.981816-2 1.062751-5 2.264887-2 1.071409-5 2.159026-2 1.072814-5 6.860287-2 1.074376-5 1.231754-1 1.075014-5 1.502548-1 1.076775-5 2.627943-1 1.079419-5 4.900195-1 1.080736-5 6.508970-1 1.082380-5 8.861343-1 1.083821-5 1.148610+0 1.085188-5 1.426616+0 1.089565-5 2.513451+0 1.093333-5 3.503064+0 1.096273-5 4.056513+0 1.098176-5 4.267565+0 1.101118-5 4.223060+0 1.104258-5 3.797678+0 1.108225-5 2.889147+0 1.111765-5 2.004309+0 1.114042-5 1.534678+0 1.116269-5 1.190605+0 1.117704-5 1.038617+0 1.119331-5 9.156756-1 1.121005-5 8.607104-1 1.122985-5 8.188349-1 1.124427-5 8.128145-1 1.127879-5 8.797388-1 1.131486-5 9.961469-1 1.142599-5 1.118023+0 1.147223-5 1.276768+0 1.154392-5 1.704202+0 1.157662-5 1.913558+0 1.161334-5 2.057175+0 1.164707-5 2.062778+0 1.168127-5 1.966730+0 1.177933-5 1.476964+0 1.181156-5 1.412340+0 1.185784-5 1.447239+0 1.197469-5 1.669950+0 1.209321-5 1.695687+0 1.256196-5 1.766241+0 1.415220-5 2.156423+0 1.569375-5 2.668820+0 1.778279-5 3.543541+0 2.018366-5 4.810678+0 2.307170-5 6.682317+0 2.618463-5 9.137468+0 3.154159-5 1.421631+1 3.705195-5 1.931178+1 4.063438-5 2.142972+1 4.415704-5 2.204391+1 4.834191-5 2.091838+1 5.412222-5 1.737523+1 5.490432-5 1.682875+1 5.531187-5 1.743677+1 5.564645-5 1.912163+1 5.609259-5 2.191092+1 5.625557-5 2.215494+1 5.643901-5 2.152347+1 5.707694-5 1.668402+1 5.733030-5 1.555729+1 5.763432-5 1.483777+1 5.974379-5 1.347452+1 6.019235-5 1.372226+1 6.125444-5 1.606879+1 6.163428-5 1.602141+1 6.266248-5 1.322094+1 6.308968-5 1.264950+1 6.511207-5 1.150023+1 6.647210-5 1.137004+1 6.988465-5 9.478050+0 7.513300-5 7.030787+0 7.943414-5 5.427866+0 8.284457-5 4.408171+0 8.650000-5 3.532762+0 9.055437-5 2.785526+0 9.411025-5 2.290306+0 9.600000-5 2.081181+0 9.695850-5 2.073013+0 9.808952-5 2.221814+0 9.855775-5 2.202344+0 9.978573-5 1.961316+0 1.053438-4 1.675045+0 1.101202-4 1.536482+0 1.157500-4 1.471964+0 1.230269-4 1.497554+0 1.324500-4 1.641074+0 1.520000-4 2.100014+0 1.820000-4 2.805280+0 2.120000-4 3.317513+0 2.521470-4 3.717596+0 2.995610-4 3.904787+0 3.666569-4 3.895838+0 3.719482-4 4.130059+0 3.821733-4 4.651890+0 3.885226-4 4.925524+0 3.926995-4 5.419157+0 3.963712-4 6.228692+0 3.995000-4 7.290569+0 4.035747-4 9.248737+0 4.080246-4 1.204124+1 4.204845-4 2.065488+1 4.280000-4 2.449123+1 4.373450-4 2.743536+1 4.470000-4 2.886041+1 4.676382-4 2.904952+1 5.573927-4 2.607985+1 5.790517-4 2.756362+1 6.136557-4 2.808895+1 6.911395-4 2.567972+1 7.096206-4 2.601774+1 9.132186-4 2.004078+1 1.098057-3 1.608776+1 1.264373-3 1.344091+1 1.500616-3 1.068996+1 1.720974-3 8.848381+0 1.982498-3 7.234695+0 2.280566-3 5.896006+0 2.586404-3 4.887365+0 2.977488-3 3.946281+0 3.275546-3 3.438509+0 3.293403-3 3.556117+0 3.304917-3 3.799928+0 3.315232-3 4.213240+0 3.324664-3 4.794655+0 3.339823-3 6.120214+0 3.367132-3 8.818815+0 3.382657-3 9.863258+0 3.400490-3 1.043750+1 3.442637-3 1.055033+1 3.479490-3 1.058115+1 3.504601-3 1.109684+1 3.558681-3 1.317821+1 3.594575-3 1.350836+1 3.736939-3 1.296199+1 3.817575-3 1.401097+1 4.029337-3 1.313145+1 4.676089-3 1.043828+1 5.365206-3 8.402499+0 6.157083-3 6.741737+0 7.080340-3 5.360662+0 8.098750-3 4.281040+0 9.282730-3 3.395369+0 1.050834-2 2.744516+0 1.152322-2 2.337822+0 1.279621-2 1.945479+0 1.439213-2 1.581005+0 1.610508-2 1.294006+0 1.796171-2 1.063994+0 2.010688-2 8.678250-1 2.252085-2 7.061521-1 2.484187-2 5.933194-1 2.497931-2 6.100709-1 2.506470-2 6.530246-1 2.512329-2 7.129603-1 2.518540-2 8.168880-1 2.523667-2 9.423383-1 2.530024-2 1.153994+0 2.538082-2 1.506962+0 2.559498-2 2.625513+0 2.570825-2 3.070608+0 2.584174-2 3.353052+0 2.605987-2 3.454463+0 3.043877-2 2.696672+0 3.479362-2 2.166380+0 3.961215-2 1.737206+0 4.397674-2 1.447782+0 4.965208-2 1.171150+0 5.499156-2 9.751622-1 6.205296-2 7.848397-1 6.862034-2 6.523728-1 7.746636-2 5.217925-1 8.725768-2 4.176230-1 9.835427-2 3.335204-1 1.090705-1 2.740351-1 1.226251-1 2.193406-1 1.342138-1 1.847966-1 1.488865-1 1.517529-1 1.637314-1 1.266590-1 1.806698-1 1.050387-1 1.991934-1 8.731072-2 2.199835-1 7.249561-2 2.442157-1 5.966463-2 2.708778-1 4.937405-2 2.974326-1 4.172870-2 3.340027-1 3.399895-2 3.726062-1 2.818317-2 4.134959-1 2.370517-2 4.615085-1 1.985841-2 5.200699-1 1.652439-2 5.963591-1 1.353492-2 6.606935-1 1.176085-2 7.498942-1 9.998845-3 8.635648-1 8.455101-3 9.885531-1 7.286514-3 1.181405+0 6.025202-3 1.410753+0 4.972259-3 1.696098+0 4.074530-3 2.039158+0 3.338883-3 2.451607+0 2.736055-3 2.947480+0 2.242067-3 3.543651+0 1.837267-3 4.260405+0 1.505553-3 5.122134+0 1.233729-3 6.158159+0 1.010982-3 7.403736+0 8.284515-4 8.901248+0 6.788766-4 9.760024+0 6.145435-4 1.000000+1 1.247764-3 1 47000 7 0 1.078700+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-4.691958+1 2.790274-6-4.548754+1 3.187426-6-4.318461+1 3.332111-6-4.029574+1 3.396791-6-3.703248+1 3.427060-6-3.363703+1 3.467328-6-2.519906+1 3.478543-6-2.402418+1 3.487383-6-2.446230+1 3.497146-6-2.673765+1 3.508163-6-3.141918+1 3.525268-6-3.899610+1 3.535673-6-4.062483+1 3.546909-6-4.040137+1 3.557600-6-3.703423+1 3.567804-6-3.283063+1 3.577164-6-2.997154+1 3.585856-6-2.957912+1 3.592095-6-3.124441+1 3.600271-6-3.565895+1 3.609166-6-4.338899+1 3.612106-6-4.678091+1 3.615504-6-4.398474+1 3.629510-6-2.764031+1 3.637115-6-2.058320+1 3.642240-6-1.712685+1 3.647233-6-1.456211+1 3.650798-6-1.341474+1 3.656740-6-1.258778+1 3.660406-6-1.259972+1 3.669234-6-1.419549+1 3.679012-6-1.749156+1 3.690692-6-2.181712+1 3.705087-6-2.650592+1 3.713965-6-2.928758+1 3.733019-6-3.258522+1 3.769881-6-3.608872+1 3.840000-6-3.934802+1 3.994507-6-4.226888+1 4.424924-6-4.468496+1 5.292012-6-4.706842+1 5.396760-6-4.718803+1 5.488633-6-4.393385+1 5.705024-6-4.580804+1 6.060160-6-4.644804+1 6.189711-6-4.609694+1 7.735787-6-4.748172+1 8.200514-6-4.536505+1 8.339201-6-4.267270+1 8.456512-6-3.688439+1 8.487515-6-3.739090+1 8.519482-6-4.064229+1 8.560832-6-4.794967+1 8.604138-6-4.042925+1 8.635282-6-3.771281+1 8.659390-6-3.730028+1 8.703251-6-3.919088+1 8.782205-6-4.393288+1 8.889833-6-4.791956+1 8.989538-6-4.439957+1 9.041413-6-4.596972+1 9.068192-6-4.805083+1 9.145048-6-4.046030+1 9.191562-6-3.853932+1 9.265753-6-3.954271+1 9.418279-6-4.319563+1 9.830126-6-4.584305+1 1.019625-5-4.824661+1 1.032342-5-4.830949+1 1.046407-5-4.473979+1 1.063022-5-4.623807+1 1.089565-5-4.905294+1 1.109774-5-4.484992+1 1.143618-5-4.715319+1 1.186649-5-4.706679+1 2.505487-5-5.043884+1 3.199743-5-4.932521+1 3.780259-5-4.489644+1 4.834191-5-3.271799+1 5.241901-5-2.963423+1 5.444942-5-2.925855+1 5.531187-5-2.692804+1 5.564645-5-2.620148+1 5.592205-5-2.693348+1 5.612338-5-2.847775+1 5.652799-5-2.448106+1 5.675655-5-2.330909+1 5.707694-5-2.336485+1 5.794541-5-2.528881+1 5.989808-5-2.704850+1 6.019235-5-2.752402+1 6.076582-5-2.731005+1 6.104044-5-2.722564+1 6.196923-5-2.408449+1 6.243102-5-2.377849+1 6.511207-5-2.480436+1 6.988465-5-2.410191+1 8.036324-5-2.492383+1 9.855775-5-2.807602+1 1.288750-4-3.109996+1 1.820000-4-3.284950+1 2.907143-4-3.489182+1 3.376658-4-3.744402+1 3.666569-4-4.089205+1 3.885226-4-4.569656+1 4.080246-4-5.323497+1 4.173000-4-5.328440+1 4.342450-4-4.736249+1 4.575000-4-3.881334+1 4.772545-4-3.435239+1 5.023726-4-3.078819+1 5.406440-4-2.754910+1 5.701000-4-2.709800+1 5.953564-4-2.466232+1 6.347500-4-2.072780+1 6.723801-4-1.834494+1 7.051025-4-1.737113+1 7.256302-4-1.579608+1 7.729030-4-1.360786+1 8.375944-4-1.153416+1 9.132186-4-9.809583+0 9.864021-4-8.636847+0 1.098057-3-7.407821+0 1.202697-3-6.679910+0 1.316428-3-6.174827+0 1.500616-3-5.764968+0 1.720974-3-5.653131+0 1.982498-3-5.825867+0 2.280566-3-6.304855+0 2.586404-3-7.107323+0 2.849730-3-8.197212+0 3.023788-3-9.340709+0 3.146571-3-1.062196+1 3.231641-3-1.211370+1 3.275546-3-1.347964+1 3.312384-3-1.558301+1 3.339823-3-1.713562+1 3.358261-3-1.724018+1 3.387114-3-1.588214+1 3.418966-3-1.430167+1 3.455039-3-1.354999+1 3.522694-3-1.380297+1 3.549345-3-1.315787+1 3.606116-3-1.102381+1 3.661702-3-9.885201+0 3.720475-3-9.338367+0 3.779028-3-9.220081+0 3.817575-3-8.498499+0 3.871368-3-7.320287+0 3.955393-3-6.169262+0 4.069398-3-5.089109+0 4.196504-3-4.191454+0 4.329273-3-3.465294+0 4.445193-3-2.957213+0 4.614305-3-2.359105+0 4.784633-3-1.888946+0 4.987554-3-1.456051+0 5.201857-3-1.100999+0 5.365206-3-8.822000-1 5.571118-3-6.613203-1 5.752394-3-5.039075-1 5.907534-3-3.891057-1 6.047120-3-3.030995-1 6.157083-3-2.429222-1 6.353575-3-1.557539-1 6.572095-3-7.848013-2 6.604632-3-6.821195-2 6.790082-3-1.651295-2 6.856494-3-3.152677-3 6.968741-3 1.932684-2 7.002174-3 2.492117-2 7.118127-3 4.227067-2 7.260015-3 6.071548-2 7.448525-3 7.794314-2 7.617483-3 8.742551-2 7.762471-3 9.258127-2 7.962622-3 9.606574-2 8.264853-3 9.175268-2 8.609938-3 7.848188-2 8.829426-3 6.796786-2 9.020577-3 5.497227-2 9.331200-3 2.986175-2 9.572067-3 7.374046-3 9.691673-3-4.540143-3 1.035701-2-7.114983-2 1.080000-2-1.187347-1 1.796171-2-9.530148-1 2.010688-2-1.249225+0 2.171110-2-1.540289+0 2.286786-2-1.837197+0 2.367964-2-2.143186+0 2.423489-2-2.455703+0 2.464965-2-2.818463+0 2.493959-2-3.252170+0 2.516436-2-3.848536+0 2.538082-2-4.472257+0 2.549211-2-4.563751+0 2.562605-2-4.358972+0 2.593984-2-3.335048+0 2.610305-2-2.937138+0 2.632149-2-2.573357+0 2.666880-2-2.186653+0 2.718376-2-1.796564+0 2.775317-2-1.488203+0 2.845938-2-1.205901+0 2.940597-2-9.323138-1 3.043877-2-7.167495-1 3.137125-2-5.648351-1 3.232102-2-4.414997-1 3.325720-2-3.406091-1 3.374251-2-2.950782-1 3.479362-2-2.133286-1 3.530767-2-1.788654-1 3.635013-2-1.180212-1 3.710009-2-8.223180-2 3.799757-2-4.417297-2 3.904474-2-6.260085-3 3.926154-2 9.076780-5 4.013125-2 2.580376-2 4.114313-2 4.969084-2 4.204944-2 6.706938-2 4.324184-2 8.683377-2 4.515448-2 1.090762-1 4.641976-2 1.203979-1 4.965208-2 1.377519-1 5.209686-2 1.427664-1 5.499156-2 1.423888-1 6.205296-2 1.268575-1 7.083798-2 9.436267-2 8.584510-2 3.695429-2 8.944783-2 2.408210-2 9.435043-2 7.534176-3 9.596046-2 2.388049-3 9.661520-2 3.410264-4 9.917537-2-7.578913-3 1.015357-1-1.474984-2 1.090705-1-3.578809-2 1.184715-1-5.893728-2 1.300234-1-8.319520-2 1.443733-1-1.080903-1 1.637314-1-1.345115-1 1.933282-1-1.640709-1 2.356579-1-1.921113-1 2.974326-1-2.166016-1 3.979685-1-2.371519-1 5.963591-1-2.534294-1 1.120601+0-2.635134-1 3.384160+0-2.670958-1 1.000000+1-2.673984-1 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 6.485672-3 1.110907-6 1.003960-2 1.181423-6 1.299615-2 1.256416-6 1.690339-2 1.336169-6 2.208962-2 1.420984-6 2.900663-2 1.511184-6 3.828163-2 1.607108-6 5.079417-2 1.709122-6 6.779207-2 1.817611-6 9.106971-2 1.932987-6 1.232483-1 2.119927-6 1.962378-1 2.186174-6 2.298172-1 2.253313-6 2.693204-1 2.318353-6 3.136860-1 2.381361-6 3.633128-1 2.442400-6 4.186049-1 2.501532-6 4.799843-1 2.558816-6 5.478915-1 2.614309-6 6.227864-1 2.668069-6 7.051484-1 2.720148-6 7.954777-1 2.770600-6 8.942951-1 2.819475-6 1.002143+0 2.866823-6 1.119586+0 2.912691-6 1.247210+0 2.957126-6 1.385626+0 3.000173-6 1.535461+0 3.082272-6 1.871181+0 3.121407-6 2.057697+0 3.159320-6 2.257989+0 3.196048-6 2.473088+0 3.231628-6 2.703798+0 3.299487-6 3.215310+0 3.363171-6 3.799282+0 3.422937-6 4.463068+0 3.451427-6 4.828383+0 3.479027-6 5.218599+0 3.532500-6 6.084410+0 3.582632-6 7.053351+0 3.629631-6 8.138267+0 3.673692-6 9.348875+0 3.714999-6 1.069496+1 3.753725-6 1.218656+1 3.790030-6 1.383394+1 3.824066-6 1.564752+1 3.855975-6 1.763780+1 3.885890-6 1.981533+1 3.913935-6 2.219060+1 3.940227-6 2.477401+1 3.964876-6 2.757575+1 3.987984-6 3.060576+1 4.009648-6 3.387365+1 4.029958-6 3.738860+1 4.048999-6 4.115934+1 4.066850-6 4.519405+1 4.083585-6 4.950039+1 4.099274-6 5.408551+1 4.113982-6 5.895615+1 4.127771-6 6.411873+1 4.140699-6 6.957947+1 4.152818-6 7.534428+1 4.164180-6 8.141867+1 4.174832-6 8.780772+1 4.184818-6 9.451635+1 4.194180-6 1.015499+2 4.202957-6 1.089153+2 4.211185-6 1.166214+2 4.226613-6 1.337003+2 4.240112-6 1.524198+2 4.251925-6 1.728971+2 4.262260-6 1.951564+2 4.271304-6 2.190635+2 4.279217-6 2.443109+2 4.286141-6 2.704552+2 4.292199-6 2.969819+2 4.297501-6 3.233729+2 4.306198-6 3.739527+2 4.318628-6 4.641280+2 4.335943-6 6.285842+2 4.345278-6 7.355169+2 4.353280-6 8.354432+2 4.355947-6 8.700289+2 4.366616-6 1.011609+3 4.367950-6 1.029377+3 4.377285-6 1.151108+3 4.380953-6 1.196561+3 4.387955-6 1.277081+3 4.391622-6 1.315016+3 4.395123-6 1.347906+3 4.398624-6 1.377135+3 4.403291-6 1.409760+3 4.407792-6 1.433678+3 4.411960-6 1.448716+3 4.416961-6 1.457278+3 4.421295-6 1.456118+3 4.425963-6 1.445966+3 4.430631-6 1.426852+3 4.432548-6 1.416523+3 4.436924-6 1.387911+3 4.442279-6 1.344351+3 4.452464-6 1.242316+3 4.456220-6 1.201015+3 4.470602-6 1.048320+3 4.475855-6 1.003348+3 4.480299-6 9.736341+2 4.483679-6 9.573989+2 4.486953-6 9.477633+2 4.490342-6 9.448482+2 4.493529-6 9.492969+2 4.496717-6 9.612862+2 4.498545-6 9.717581+2 4.505648-6 1.039032+3 4.507505-6 1.063925+3 4.511744-6 1.132561+3 4.515454-6 1.206330+3 4.520071-6 1.316199+3 4.526653-6 1.506930+3 4.542936-6 2.134805+3 4.549314-6 2.429021+3 4.555274-6 2.719675+3 4.559247-6 2.918595+3 4.564356-6 3.176453+3 4.569978-6 3.457685+3 4.575427-6 3.721757+3 4.580270-6 3.944630+3 4.585184-6 4.155047+3 4.586844-6 4.221847+3 4.592206-6 4.420649+3 4.597410-6 4.585557+3 4.601324-6 4.689341+3 4.606073-6 4.790080+3 4.610792-6 4.861427+3 4.613858-6 4.891939+3 4.618979-6 4.914721+3 4.623084-6 4.907606+3 4.631474-6 4.824971+3 4.636745-6 4.729086+3 4.641853-6 4.606831+3 4.647475-6 4.442643+3 4.652924-6 4.258116+3 4.657768-6 4.076824+3 4.662439-6 3.889832+3 4.669531-6 3.589724+3 4.675066-6 3.347604+3 4.681294-6 3.072958+3 4.686138-6 2.861166+3 4.697209-6 2.395830+3 4.701014-6 2.244834+3 4.708280-6 1.972774+3 4.716583-6 1.690940+3 4.727753-6 1.364062+3 4.746174-6 9.524826+2 4.753456-6 8.289161+2 4.760682-6 7.249906+2 4.767851-6 6.379724+2 4.774964-6 5.652844+2 4.782021-6 5.045855+2 4.789023-6 4.538107+2 4.795970-6 4.111837+2 4.802864-6 3.752069+2 4.809703-6 3.446402+2 4.816489-6 3.184705+2 4.829954-6 2.760695+2 4.843210-6 2.434524+2 4.856258-6 2.175792+2 4.869102-6 1.965220+2 4.881746-6 1.790302+2 4.894192-6 1.642636+2 4.906444-6 1.516354+2 4.918504-6 1.407201+2 4.930376-6 1.311992+2 4.942062-6 1.228286+2 4.965069-6 1.087141+2 4.987358-6 9.740709+1 5.008949-6 8.817057+1 5.029866-6 8.050593+1 5.050130-6 7.406258+1 5.069760-6 6.858523+1 5.088777-6 6.388246+1 5.107199-6 5.980734+1 5.142893-6 5.301228+1 5.176356-6 4.769353+1 5.207727-6 4.343775+1 5.237137-6 3.997436+1 5.264710-6 3.711465+1 5.290559-6 3.472113+1 5.339026-6 3.084013+1 5.381435-6 2.796557+1 5.418542-6 2.577773+1 5.451012-6 2.407514+1 5.507833-6 2.147971+1 5.550449-6 1.979628+1 5.614372-6 1.760789+1 5.720225-6 1.464258+1 5.943848-6 1.011437+1 5.957824-6 9.882740+0 6.086178-6 7.886044+0 6.182443-6 6.471746+0 6.218542-6 5.939837+0 6.250129-6 5.464227+0 6.290100-6 4.838335+0 6.323113-6 4.289979+0 6.341629-6 3.965207+0 6.357830-6 3.668862+0 6.372006-6 3.399744+0 6.384410-6 3.157280+0 6.395264-6 2.941079+0 6.404760-6 2.750567+0 6.421380-6 2.422193+0 6.443193-6 2.036589+0 6.450205-6 1.936162+0 6.455463-6 1.872556+0 6.463351-6 1.801053+0 6.467295-6 1.778250+0 6.471239-6 1.765566+0 6.475221-6 1.764256+0 6.487167-6 1.843220+0 6.491149-6 1.902060+0 6.494135-6 1.958477+0 6.498615-6 2.064498+0 6.500855-6 2.127779+0 6.503095-6 2.198307+0 6.507404-6 2.355473+0 6.511712-6 2.542739+0 6.514525-6 2.682258+0 6.520019-6 2.996595+0 6.521885-6 3.116614+0 6.536535-6 4.312669+0 6.551698-6 6.072132+0 6.560539-6 7.360436+0 6.566483-6 8.336312+0 6.574072-6 9.707934+0 6.580912-6 1.105911+1 6.587582-6 1.247359+1 6.593019-6 1.369041+1 6.599590-6 1.522676+1 6.606297-6 1.685520+1 6.613048-6 1.853866+1 6.619941-6 2.028247+1 6.625605-6 2.171893+1 6.632882-6 2.354567+1 6.639563-6 2.518183+1 6.643225-6 2.605389+1 6.651186-6 2.786739+1 6.655962-6 2.888998+1 6.671990-6 3.185989+1 6.674870-6 3.230622+1 6.688018-6 3.395726+1 6.693527-6 3.444993+1 6.698786-6 3.480647+1 6.706453-6 3.512581+1 6.714915-6 3.520556+1 6.718370-6 3.515801+1 6.724417-6 3.496747+1 6.732354-6 3.452104+1 6.740007-6 3.389714+1 6.749736-6 3.286415+1 6.752129-6 3.257399+1 6.764150-6 3.093916+1 6.768157-6 3.033979+1 6.780177-6 2.842879+1 6.791034-6 2.661629+1 6.803302-6 2.454852+1 6.814118-6 2.276488+1 6.857258-6 1.666471+1 6.873420-6 1.491726+1 6.889582-6 1.345807+1 6.906968-6 1.217119+1 6.923267-6 1.118587+1 6.938548-6 1.041737+1 6.967198-6 9.272259+0 6.992268-6 8.483767+0 7.036140-6 7.370254+0 7.101947-6 5.958463+0 7.134851-6 5.277214+0 7.183995-6 4.333928+0 7.193517-6 4.184074+0 7.203040-6 4.053749+0 7.211200-6 3.961003+0 7.219360-6 3.888787+0 7.237043-6 3.816121+0 7.241774-6 3.818678+0 7.255967-6 3.888280+0 7.262835-6 3.956842+0 7.269390-6 4.044016+0 7.275945-6 4.152345+0 7.284453-6 4.323754+0 7.291401-6 4.488355+0 7.300520-6 4.735201+0 7.320696-6 5.381246+0 7.329147-6 5.679436+0 7.344180-6 6.223213+0 7.361823-6 6.838101+0 7.364028-6 6.910306+0 7.379465-6 7.370081+0 7.386842-6 7.555247+0 7.400926-6 7.833152+0 7.405360-6 7.898274+0 7.413120-6 7.985089+0 7.418940-6 8.027170+0 7.427669-6 8.053278+0 7.436399-6 8.035950+0 7.443217-6 7.993553+0 7.450035-6 7.927405+0 7.463267-6 7.738196+0 7.467678-6 7.659428+0 7.485320-6 7.283330+0 7.490540-6 7.157742+0 7.502963-6 6.843154+0 7.527414-6 6.208887+0 7.545851-6 5.767469+0 7.555069-6 5.570777+0 7.564288-6 5.394198+0 7.573506-6 5.239822+0 7.582725-6 5.108944+0 7.588601-6 5.038046+0 7.598885-6 4.937344+0 7.606598-6 4.880802+0 7.618167-6 4.824577+0 7.629736-6 4.799151+0 7.644853-6 4.804009+0 7.663307-6 4.850819+0 7.703397-6 4.997287+0 7.721821-6 5.042614+0 7.742698-6 5.058983+0 7.755225-6 5.050149+0 7.772668-6 5.017528+0 7.804551-6 4.917566+0 7.844350-6 4.775927+0 7.866795-6 4.706929+0 7.888844-6 4.650118+0 8.041550-6 4.358790+0 8.136022-6 4.155666+0 8.287277-6 3.845010+0 8.463039-6 3.522510+0 8.597022-6 3.288964+0 8.698576-6 3.116533+0 8.821438-6 2.914404+0 8.946983-6 2.718472+0 9.112500-6 2.470627+0 9.225714-6 2.302685+0 9.373009-6 2.090976+0 9.474834-6 1.948161+0 9.598351-6 1.779196+0 9.744286-6 1.587714+0 9.871315-6 1.428470+0 1.004538-5 1.218631+0 1.021821-5 1.016492+0 1.039457-5 8.230182-1 1.057730-5 6.356476-1 1.071519-5 5.044077-1 1.082483-5 4.071472-1 1.096151-5 2.951920-1 1.106872-5 2.162571-1 1.117936-5 1.452052-1 1.128308-5 9.002008-2 1.138032-5 5.024127-2 1.147148-5 2.554457-2 1.148203-5 2.358710-2 1.155694-5 1.581472-2 1.163706-5 2.094016-2 1.171218-5 4.078928-2 1.178259-5 7.525305-2 1.184861-5 1.242226-1 1.191051-5 1.876207-1 1.195363-5 2.435205-1 1.199485-5 3.071405-1 1.202123-5 3.534465-1 1.207153-5 4.537568-1 1.211874-5 5.592615-1 1.216305-5 6.604249-1 1.220463-5 7.454853-1 1.225280-5 8.136211-1 1.229444-5 8.322182-1 1.234152-5 8.007428-1 1.237941-5 7.380272-1 1.240768-5 6.745426-1 1.243421-5 6.063685-1 1.245910-5 5.384269-1 1.247524-5 4.939482-1 1.249397-5 4.432218-1 1.251552-5 3.877820-1 1.255468-5 3.020059-1 1.257244-5 2.726282-1 1.258910-5 2.524709-1 1.260471-5 2.415050-1 1.261935-5 2.396078-1 1.263307-5 2.465876-1 1.264593-5 2.621978-1 1.267005-5 3.205744-1 1.269115-5 4.113721-1 1.270962-5 5.306339-1 1.272578-5 6.737757-1 1.273992-5 8.357925-1 1.279018-5 1.813630+0 1.280235-5 2.182240+0 1.282062-5 2.869395+0 1.283889-5 3.753363+0 1.285469-5 4.712996+0 1.287049-5 5.890782+0 1.288629-5 7.327015+0 1.290209-5 9.066562+0 1.291789-5 1.115847+1 1.293369-5 1.365528+1 1.294159-5 1.507263+1 1.295344-5 1.742950+1 1.296529-5 2.008431+1 1.297912-5 2.358888+1 1.299245-5 2.741455+1 1.300792-5 3.244001+1 1.302433-5 3.849712+1 1.303417-5 4.250310+1 1.305017-5 4.961940+1 1.306617-5 5.748157+1 1.309818-5 7.531749+1 1.310218-5 7.772653+1 1.313018-5 9.547840+1 1.314118-5 1.027769+2 1.316218-5 1.169485+2 1.317797-5 1.275808+2 1.319176-5 1.366812+2 1.320329-5 1.440286+2 1.321810-5 1.529828+2 1.322813-5 1.586371+2 1.324128-5 1.654538+2 1.325582-5 1.720503+2 1.326019-5 1.738226+2 1.327520-5 1.790661+2 1.328941-5 1.827610+2 1.329717-5 1.842229+2 1.331281-5 1.859264+2 1.332459-5 1.860876+2 1.335569-5 1.818964+2 1.336567-5 1.791844+2 1.338787-5 1.709911+2 1.339975-5 1.655011+2 1.340902-5 1.607499+2 1.342227-5 1.533427+2 1.343079-5 1.482525+2 1.344467-5 1.395178+2 1.345406-5 1.333739+2 1.346638-5 1.251140+2 1.347826-5 1.170345+2 1.348222-5 1.143335+2 1.349822-5 1.034717+2 1.351222-5 9.416315+1 1.351822-5 9.026484+1 1.353222-5 8.145154+1 1.355022-5 7.084443+1 1.357823-5 5.638019+1 1.360186-5 4.643700+1 1.360691-5 4.460626+1 1.362457-5 3.903837+1 1.363340-5 3.675142+1 1.364298-5 3.464866+1 1.365188-5 3.304589+1 1.366716-5 3.107984+1 1.367299-5 3.058820+1 1.369959-5 3.009376+1 1.370776-5 3.049567+1 1.371401-5 3.097022+1 1.371909-5 3.145982+1 1.372782-5 3.251162+1 1.373777-5 3.401924+1 1.374442-5 3.519954+1 1.376753-5 4.028580+1 1.381036-5 5.281917+1 1.382811-5 5.874682+1 1.384541-5 6.468258+1 1.386152-5 7.019448+1 1.387643-5 7.516396+1 1.389122-5 7.986021+1 1.390398-5 8.365324+1 1.392081-5 8.819260+1 1.393495-5 9.152369+1 1.396737-5 9.722063+1 1.398025-5 9.866356+1 1.400085-5 9.995967+1 1.401372-5 1.001393+2 1.402402-5 9.994134+1 1.403850-5 9.916812+1 1.405321-5 9.782224+1 1.406522-5 9.633440+1 1.407423-5 9.500694+1 1.408775-5 9.270604+1 1.410126-5 9.007376+1 1.411817-5 8.638623+1 1.413507-5 8.234714+1 1.416048-5 7.581700+1 1.416895-5 7.356130+1 1.419435-5 6.669757+1 1.421105-5 6.219494+1 1.423984-5 5.463477+1 1.426503-5 4.838404+1 1.428094-5 4.466417+1 1.430445-5 3.953745+1 1.433832-5 3.297656+1 1.443995-5 1.893753+1 1.447924-5 1.538927+1 1.449669-5 1.406855+1 1.453160-5 1.181559+1 1.456651-5 9.987702+0 1.460142-5 8.490243+0 1.463633-5 7.247530+0 1.470618-5 5.304762+0 1.477596-5 3.848063+0 1.484578-5 2.715255+0 1.488068-5 2.253052+0 1.491179-5 1.902951+0 1.494290-5 1.619292+0 1.496236-5 1.480863+0 1.497968-5 1.386432+0 1.499784-5 1.319763+0 1.500692-5 1.299910+0 1.501600-5 1.289635+0 1.502282-5 1.288482+0 1.503475-5 1.300613+0 1.507056-5 1.453344+0 1.508029-5 1.526981+0 1.509002-5 1.614976+0 1.512688-5 2.081068+0 1.517806-5 3.065101+0 1.520297-5 3.665008+0 1.521854-5 4.069809+0 1.523565-5 4.533441+0 1.525085-5 4.954923+0 1.526305-5 5.295709+0 1.527038-5 5.499459+0 1.528070-5 5.783903+0 1.529426-5 6.148900+0 1.530841-5 6.514965+0 1.531630-5 6.710056+0 1.533247-5 7.085343+0 1.534662-5 7.381387+0 1.535961-5 7.622286+0 1.537261-5 7.830064+0 1.538791-5 8.028424+0 1.542256-5 8.275267+0 1.543526-5 8.292112+0 1.545952-5 8.213972+0 1.546961-5 8.139906+0 1.548113-5 8.026899+0 1.548977-5 7.923092+0 1.550273-5 7.738595+0 1.551569-5 7.522221+0 1.552937-5 7.262997+0 1.553962-5 7.050373+0 1.555501-5 6.706937+0 1.557040-5 6.340394+0 1.558888-5 5.879990+0 1.560736-5 5.409726+0 1.563508-5 4.713710+0 1.564432-5 4.490345+0 1.568825-5 3.543380+0 1.570014-5 3.331219+0 1.571796-5 3.056852+0 1.572687-5 2.941118+0 1.573578-5 2.840595+0 1.575035-5 2.710555+0 1.576034-5 2.646773+0 1.576548-5 2.622248+0 1.577647-5 2.589011+0 1.578745-5 2.582164+0 1.580410-5 2.622405+0 1.581512-5 2.682472+0 1.584271-5 2.946666+0 1.585730-5 3.148976+0 1.586565-5 3.283077+0 1.589345-5 3.816197+0 1.593460-5 4.800844+0 1.595065-5 5.227267+0 1.596825-5 5.708886+0 1.598724-5 6.232356+0 1.600450-5 6.700700+0 1.602171-5 7.150103+0 1.604195-5 7.643020+0 1.605813-5 7.999864+0 1.607561-5 8.339851+0 1.608920-5 8.567131+0 1.612785-5 9.011706+0 1.613268-5 9.044893+0 1.616650-5 9.133110+0 1.618242-5 9.088367+0 1.619761-5 8.996400+0 1.621281-5 8.859013+0 1.622391-5 8.731755+0 1.623363-5 8.603161+0 1.625064-5 8.342932+0 1.626340-5 8.121692+0 1.628253-5 7.754955+0 1.630173-5 7.354134+0 1.633173-5 6.686548+0 1.634169-5 6.459186+0 1.637510-5 5.700090+0 1.640909-5 4.966183+0 1.644572-5 4.258695+0 1.651094-5 3.293420+0 1.651902-5 3.202646+0 1.653317-5 3.059186+0 1.657560-5 2.741959+0 1.659585-5 2.646065+0 1.662666-5 2.560040+0 1.664496-5 2.538588+0 1.665660-5 2.534791+0 1.668081-5 2.547551+0 1.669897-5 2.572000+0 1.672621-5 2.625583+0 1.679927-5 2.805848+0 1.681473-5 2.841126+0 1.684166-5 2.894374+0 1.687229-5 2.939050+0 1.689798-5 2.962090+0 1.693381-5 2.972889+0 1.696690-5 2.964053+0 1.701869-5 2.926574+0 1.710592-5 2.850991+0 1.715368-5 2.824362+0 1.720536-5 2.812630+0 1.728108-5 2.819364+0 1.742455-5 2.848399+0 1.758823-5 2.855512+0 1.790000-5 2.864930+0 1.809218-5 2.884647+0 1.830000-5 2.928026+0 1.849823-5 2.987932+0 1.870000-5 3.066911+0 1.893404-5 3.183936+0 1.917500-5 3.332382+0 1.945000-5 3.541776+0 1.953035-5 3.611618+0 1.983552-5 3.907134+0 2.000000-5 4.087275+0 2.014545-5 4.261791+0 2.045000-5 4.666689+0 2.077499-5 5.171489+0 2.113489-5 5.810937+0 2.190000-5 7.478104+0 2.330000-5 1.176315+1 2.423040-5 1.560979+1 2.511886-5 2.012377+1 2.607260-5 2.599815+1 2.735385-5 3.583756+1 2.818383-5 4.344066+1 2.884032-5 5.026180+1 2.959548-5 5.898666+1 3.047319-5 7.051841+1 3.135090-5 8.339179+1 3.223294-5 9.782189+1 3.339062-5 1.191902+2 3.450695-5 1.424482+2 3.549192-5 1.650085+2 3.665945-5 1.938819+2 3.758374-5 2.182783+2 3.861444-5 2.468233+2 3.972613-5 2.784996+2 4.074402-5 3.080196+2 4.168694-5 3.353551+2 4.298640-5 3.723936+2 4.399635-5 4.001188+2 4.507309-5 4.280925+2 4.619699-5 4.550522+2 4.738401-5 4.806215+2 4.860021-5 5.033600+2 4.970224-5 5.209021+2 5.099768-5 5.376198+2 5.233838-5 5.507575+2 5.302078-5 5.557656+2 5.415651-5 5.617967+2 5.509439-5 5.647958+2 5.630336-5 5.666526+2 5.763746-5 5.658387+2 5.868406-5 5.628818+2 6.001135-5 5.571489+2 6.130964-5 5.492179+2 6.273357-5 5.381582+2 6.428484-5 5.234165+2 6.538274-5 5.113377+2 6.636265-5 4.988451+2 6.750062-5 4.805097+2 6.836583-5 4.646168+2 6.868230-5 4.610722+2 6.899235-5 4.603626+2 6.924655-5 4.619727+2 7.001099-5 4.719190+2 7.032829-5 4.741337+2 7.063354-5 4.740947+2 7.091980-5 4.725529+2 7.312083-5 4.532375+2 7.450000-5 4.386444+2 7.479833-5 4.363103+2 7.512500-5 4.347031+2 7.600204-5 4.342509+2 7.684698-5 4.327951+2 7.860115-5 4.228387+2 8.077043-5 4.085108+2 8.366819-5 3.882733+2 8.672114-5 3.668790+2 9.156752-5 3.343890+2 9.948120-5 2.876994+2 1.042081-4 2.632333+2 1.052677-4 2.576589+2 1.070466-4 2.472058+2 1.080000-4 2.419712+2 1.083804-4 2.406072+2 1.088256-4 2.397925+2 1.096850-4 2.401636+2 1.102048-4 2.406528+2 1.110120-4 2.401065+2 1.120871-4 2.368581+2 1.144068-4 2.294417+2 1.201000-4 2.143806+2 1.245000-4 2.046166+2 1.299439-4 1.944518+2 1.350000-4 1.866179+2 1.400000-4 1.801707+2 1.449138-4 1.748602+2 1.511492-4 1.694181+2 1.621810-4 1.623893+2 1.729951-4 1.579977+2 1.833832-4 1.551048+2 1.998962-4 1.522222+2 2.293376-4 1.486927+2 2.407722-4 1.471185+2 2.504678-4 1.454793+2 2.621440-4 1.430270+2 2.733750-4 1.400478+2 2.894281-4 1.345535+2 3.039069-4 1.281804+2 3.154618-4 1.219871+2 3.279032-4 1.141560+2 3.344791-4 1.095623+2 3.435570-4 1.024056+2 3.520160-4 9.496465+1 3.600453-4 8.728619+1 3.663195-4 8.079060+1 3.707728-4 7.586260+1 3.759266-4 6.985556+1 3.807124-4 6.400398+1 3.846822-4 5.891407+1 3.904831-4 5.109095+1 3.934909-4 4.683773+1 3.973419-4 4.118287+1 3.993573-4 3.818937+1 4.049702-4 3.061166+1 4.065878-4 2.884499+1 4.082187-4 2.727558+1 4.104171-4 2.543674+1 4.138063-4 2.302762+1 4.157027-4 2.186406+1 4.169700-4 2.118472+1 4.179234-4 2.074845+1 4.187816-4 2.042987+1 4.193500-4 2.026736+1 4.200600-4 2.013026+1 4.208000-4 2.008001+1 4.215000-4 2.013587+1 4.222886-4 2.034085+1 4.226688-4 2.050082+1 4.232256-4 2.081545+1 4.238925-4 2.133077+1 4.243000-4 2.172732+1 4.249000-4 2.243472+1 4.254999-4 2.330175+1 4.261122-4 2.436667+1 4.269398-4 2.612283+1 4.276500-4 2.794767+1 4.285114-4 3.059238+1 4.292415-4 3.323495+1 4.301242-4 3.695982+1 4.308444-4 4.045659+1 4.317143-4 4.526216+1 4.342499-4 6.318164+1 4.354495-4 7.380817+1 4.362215-4 8.139676+1 4.372193-4 9.207757+1 4.382372-4 1.039717+2 4.394747-4 1.197518+2 4.406997-4 1.367236+2 4.419247-4 1.549362+2 4.436624-4 1.826440+2 4.454000-4 2.121559+2 4.467910-4 2.367570+2 4.477000-4 2.531662+2 4.492624-4 2.817481+2 4.505812-4 3.060224+2 4.516274-4 3.252334+2 4.524968-4 3.410948+2 4.540000-4 3.681453+2 4.557719-4 3.991645+2 4.567352-4 4.155298+2 4.577941-4 4.330490+2 4.592500-4 4.562502+2 4.608411-4 4.803285+2 4.623811-4 5.022732+2 4.650000-4 5.363602+2 4.665000-4 5.539983+2 4.685000-4 5.753737+2 4.700000-4 5.898325+2 4.731513-4 6.160760+2 4.750000-4 6.290804+2 4.782500-4 6.481972+2 4.815000-4 6.632407+2 4.845621-4 6.743951+2 4.900000-4 6.890082+2 4.982586-4 7.042812+2 5.088177-4 7.191498+2 5.360457-4 7.511244+2 5.456761-4 7.603667+2 5.557753-4 7.679202+2 5.638353-4 7.716219+2 5.742006-4 7.737736+2 5.826616-4 7.729551+2 5.912166-4 7.684940+2 6.017274-4 7.595404+2 6.056063-4 7.606011+2 6.090733-4 7.667758+2 6.128446-4 7.796959+2 6.186131-4 8.082114+2 6.232820-4 8.329757+2 6.294395-4 8.606574+2 6.355032-4 8.807507+2 6.488175-4 9.190164+2 6.620254-4 9.654095+2 6.710000-4 9.906733+2 6.804063-4 1.009235+3 6.936274-4 1.027426+3 7.061670-4 1.040174+3 7.226243-4 1.052366+3 7.410018-4 1.063061+3 7.460476-4 1.069020+3 7.566292-4 1.087424+3 7.704691-4 1.113737+3 7.777147-4 1.124918+3 7.909062-4 1.140090+3 8.077870-4 1.154699+3 8.266920-4 1.168444+3 8.674763-4 1.190055+3 9.216000-4 1.210629+3 9.772372-4 1.223977+3 1.041938-3 1.231578+3 1.106028-3 1.234405+3 1.220921-3 1.224308+3 1.372461-3 1.202979+3 1.486577-3 1.181977+3 1.683643-3 1.139151+3 1.850000-3 1.100018+3 2.018366-3 1.060309+3 2.216257-3 1.009299+3 2.319897-3 9.828858+2 2.436426-3 9.522105+2 2.554134-3 9.192614+2 2.676076-3 8.846273+2 2.772123-3 8.559086+2 2.866446-3 8.263487+2 2.957801-3 7.963852+2 3.030897-3 7.709813+2 3.096329-3 7.465317+2 3.157598-3 7.213271+2 3.211580-3 6.970096+2 3.254179-3 6.760227+2 3.293823-3 6.545059+2 3.324489-3 6.359887+2 3.355632-3 6.148986+2 3.386421-3 5.910089+2 3.410491-3 5.690496+2 3.430439-3 5.474686+2 3.446342-3 5.274540+2 3.465530-3 5.002193+2 3.493121-3 4.610435+2 3.503651-3 4.493654+2 3.513300-3 4.418467+2 3.518351-3 4.393934+2 3.523912-3 4.379885+2 3.531213-3 4.382843+2 3.538755-3 4.411220+2 3.543937-3 4.444797+2 3.552315-3 4.520510+2 3.565208-3 4.676511+2 3.589103-3 5.014361+2 3.603642-3 5.201207+2 3.612753-3 5.299551+2 3.625212-3 5.406423+2 3.637799-3 5.482254+2 3.650492-3 5.530175+2 3.663786-3 5.557722+2 3.697325-3 5.604846+2 3.705247-3 5.628379+2 3.715352-3 5.672764+2 3.725560-3 5.736260+2 3.741884-3 5.876425+2 3.793231-3 6.457748+2 3.806871-3 6.594555+2 3.821831-3 6.721862+2 3.841357-3 6.852203+2 3.860502-3 6.945708+2 3.882276-3 7.019069+2 3.903222-3 7.064191+2 3.956385-3 7.140630+2 3.973121-3 7.184247+2 3.997314-3 7.285575+2 4.075069-3 7.762814+2 4.094374-3 7.860542+2 4.115264-3 7.948748+2 4.141537-3 8.038866+2 4.179026-3 8.140437+2 4.249714-3 8.280669+2 4.351328-3 8.411741+2 4.452828-3 8.488493+2 4.561025-3 8.529915+2 4.687730-3 8.538114+2 4.885468-3 8.489916+2 5.073062-3 8.399393+2 5.320623-3 8.237774+2 5.643300-3 7.989625+2 6.034273-3 7.664059+2 6.518292-3 7.253567+2 7.082985-3 6.789145+2 7.740161-3 6.285113+2 8.745608-3 5.606018+2 9.929642-3 4.937361+2 1.105987-2 4.406429+2 1.228500-2 3.919994+2 1.325867-2 3.584099+2 1.433325-2 3.256961+2 1.550703-2 2.941275+2 1.675184-2 2.645798+2 1.805764-2 2.373673+2 1.948968-2 2.112589+2 2.084184-2 1.895493+2 2.200386-2 1.726970+2 2.300831-2 1.591056+2 2.380393-2 1.486993+2 2.446424-2 1.400301+2 2.496444-2 1.331812+2 2.534696-2 1.275142+2 2.563704-2 1.226742+2 2.577272-2 1.201016+2 2.588632-2 1.177068+2 2.605156-2 1.137201+2 2.626046-2 1.079577+2 2.642380-2 1.037087+2 2.652117-2 1.018296+2 2.660725-2 1.008278+2 2.667515-2 1.005466+2 2.675236-2 1.007811+2 2.685142-2 1.018535+2 2.697158-2 1.039849+2 2.720211-2 1.087831+2 2.730648-2 1.106622+2 2.747266-2 1.129597+2 2.764514-2 1.145342+2 2.789971-2 1.158548+2 2.821881-2 1.165823+2 2.859938-2 1.167368+2 2.906735-2 1.163071+2 2.965401-2 1.151720+2 3.058665-2 1.125720+2 3.176311-2 1.086697+2 3.342792-2 1.028373+2 3.533367-2 9.627867+1 3.811241-2 8.727211+1 4.167131-2 7.702721+1 4.533548-2 6.798146+1 5.014632-2 5.819202+1 5.396465-2 5.173368+1 5.952767-2 4.392558+1 6.796774-2 3.494964+1 8.237657-2 2.489320+1 1.122019-1 1.430173+1 1.387784-1 9.693239+0 1.744214-1 6.335159+0 2.149226-1 4.267758+0 2.818734-1 2.534011+0 4.025767-1 1.266999+0 6.042964-1 5.706983-1 1.011580+0 2.057183-1 2.235892+0 4.233368-2 6.752287+0 4.647801-3 2.039158+1 5.096949-4 6.158159+1 5.588781-5 1.859734+2 6.127988-6 5.616308+2 6.719206-7 1.995262+3 5.323776-8 6.309573+3 5.323776-9 1.995262+4 5.32378-10 6.309573+4 5.32378-11 1.000000+5 2.11943-11 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.281300-6 1.258900-6 2.030800-6 1.584900-6 3.218600-6 1.995300-6 5.101100-6 2.511900-6 8.084600-6 3.162300-6 1.281300-5 3.981100-6 2.030700-5 5.011900-6 3.218500-5 6.309600-6 5.100900-5 7.943300-6 8.084400-5 1.000000-5 1.281300-4 1.258900-5 2.030600-4 1.584900-5 3.217500-4 1.995300-5 5.097700-4 2.511900-5 8.077000-4 3.162300-5 1.279800-3 3.981100-5 2.028000-3 5.011900-5 3.213800-3 6.309600-5 5.092800-3 7.943300-5 8.062500-3 1.000000-4 1.276100-2 1.258900-4 2.020000-2 1.584900-4 3.192400-2 1.995300-4 5.041200-2 2.511900-4 7.941000-2 3.162300-4 1.246700-1 3.981100-4 1.946600-1 5.011900-4 3.011100-1 6.309600-4 4.594900-1 7.943300-4 6.881800-1 1.000000-3 1.004800+0 1.258900-3 1.422400+0 1.584900-3 1.946600+0 1.995300-3 2.583600+0 2.511900-3 3.353700+0 3.162300-3 4.284700+0 3.981100-3 5.391600+0 5.011900-3 6.680500+0 6.309600-3 8.167500+0 7.943300-3 9.857500+0 1.000000-2 1.168600+1 1.258900-2 1.351700+1 1.584900-2 1.526700+1 1.995300-2 1.690900+1 2.511900-2 1.840600+1 3.162300-2 1.968500+1 3.981100-2 2.069700+1 5.011900-2 2.124600+1 6.309600-2 2.171700+1 7.943300-2 2.167100+1 1.000000-1 2.129900+1 1.258900-1 2.064000+1 1.584900-1 1.975000+1 1.995300-1 1.868500+1 2.511900-1 1.750400+1 3.162300-1 1.625000+1 3.981100-1 1.496700+1 5.011900-1 1.369100+1 6.309600-1 1.244300+1 7.943300-1 1.123800+1 1.000000+0 1.008600+1 1.258900+0 8.994600+0 1.584900+0 7.971000+0 1.995300+0 7.018300+0 2.511900+0 6.140200+0 3.162300+0 5.338900+0 3.981100+0 4.614700+0 5.011900+0 3.966600+0 6.309600+0 3.391800+0 7.943300+0 2.886300+0 1.000000+1 2.445300+0 1.258900+1 2.063400+0 1.584900+1 1.734700+0 1.995300+1 1.453600+0 2.511900+1 1.214300+0 3.162300+1 1.011800+0 3.981100+1 8.409100-1 5.011900+1 6.973700-1 6.309600+1 5.771700-1 7.943300+1 4.768200-1 1.000000+2 3.932600-1 1.258900+2 3.238600-1 1.584900+2 2.663300-1 1.995300+2 2.187500-1 2.511900+2 1.794600-1 3.162300+2 1.470600-1 3.981100+2 1.203900-1 5.011900+2 9.846700-2 6.309600+2 8.046500-2 7.943300+2 6.570000-2 1.000000+3 5.360300-2 1.258900+3 4.370200-2 1.584900+3 3.560600-2 1.995300+3 2.899100-2 2.511900+3 2.359000-2 3.162300+3 1.918400-2 3.981100+3 1.559300-2 5.011900+3 1.266700-2 6.309600+3 1.028500-2 7.943300+3 8.347400-3 1.000000+4 6.771500-3 1.258900+4 5.490700-3 1.584900+4 4.450300-3 1.995300+4 3.605500-3 2.511900+4 2.920000-3 3.162300+4 2.364000-3 3.981100+4 1.913100-3 5.011900+4 1.547700-3 6.309600+4 1.251700-3 7.943300+4 1.012000-3 1.000000+5 8.178900-4 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159549-4 3.981072-4 3.976756-4 5.011872-4 5.005057-4 6.309573-4 6.298828-4 7.943282-4 7.926378-4 1.000000-3 9.973488-4 1.258925-3 1.254775-3 1.584893-3 1.578434-3 1.995262-3 1.985192-3 2.511886-3 2.496179-3 3.162278-3 3.137759-3 3.981072-3 3.942722-3 5.011872-3 4.951920-3 6.309573-3 6.215871-3 7.943282-3 7.796973-3 1.000000-2 9.772402-3 1.258925-2 1.223740-2 1.584893-2 1.530744-2 1.995262-2 1.912120-2 2.511886-2 2.384519-2 3.162278-2 2.967957-2 3.981072-2 3.685854-2 5.011872-2 4.566058-2 6.309573-2 5.642456-2 7.943282-2 6.952494-2 1.000000-1 8.538453-2 1.258925-1 1.045365-1 1.584893-1 1.275518-1 1.995262-1 1.551148-1 2.511886-1 1.879561-1 3.162278-1 2.270335-1 3.981072-1 2.733646-1 5.011872-1 3.281314-1 6.309573-1 3.926794-1 7.943282-1 4.686930-1 1.000000+0 5.581988-1 1.258925+0 6.636469-1 1.584893+0 7.879400-1 1.995262+0 9.350523-1 2.511886+0 1.109594+0 3.162278+0 1.317325+0 3.981072+0 1.565277+0 5.011872+0 1.862158+0 6.309573+0 2.218306+0 7.943282+0 2.646777+0 1.000000+1 3.163411+0 1.258925+1 3.787429+0 1.584893+1 4.542566+0 1.995262+1 5.457712+0 2.511886+1 6.568448+0 3.162278+1 7.918433+0 3.981072+1 9.560976+0 5.011872+1 1.156175+1 6.309573+1 1.400139+1 7.943282+1 1.697900+1 1.000000+2 2.061627+1 1.258925+2 2.506367+1 1.584893+2 3.050532+1 1.995262+2 3.716855+1 2.511886+2 4.533370+1 3.162278+2 5.534629+1 3.981072+2 6.763075+1 5.011872+2 8.271409+1 6.309573+2 1.012434+2 7.943282+2 1.240193+2 1.000000+3 1.520291+2 1.258925+3 1.864945+2 1.584893+3 2.289198+2 1.995262+3 2.811742+2 2.511886+3 3.455664+2 3.162278+3 4.249433+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88240-10 1.995262-5 1.090732-9 2.511886-5 1.728663-9 3.162278-5 2.739730-9 3.981072-5 4.342138-9 5.011872-5 6.881684-9 6.309573-5 1.090631-8 7.943282-5 1.727999-8 1.000000-4 2.738129-8 1.258925-4 4.339243-8 1.584893-4 6.873374-8 1.995262-4 1.088823-7 2.511886-4 1.724113-7 3.162278-4 2.728599-7 3.981072-4 4.315620-7 5.011872-4 6.815771-7 6.309573-4 1.074544-6 7.943282-4 1.690432-6 1.000000-3 2.651200-6 1.258925-3 4.150679-6 1.584893-3 6.459471-6 1.995262-3 1.006995-5 2.511886-3 1.570736-5 3.162278-3 2.451892-5 3.981072-3 3.835005-5 5.011872-3 5.995280-5 6.309573-3 9.370215-5 7.943282-3 1.463098-4 1.000000-2 2.275976-4 1.258925-2 3.518582-4 1.584893-2 5.414901-4 1.995262-2 8.314240-4 2.511886-2 1.273674-3 3.162278-2 1.943206-3 3.981072-2 2.952181-3 5.011872-2 4.458144-3 6.309573-2 6.671173-3 7.943282-2 9.907884-3 1.000000-1 1.461547-2 1.258925-1 2.135608-2 1.584893-1 3.093755-2 1.995262-1 4.441145-2 2.511886-1 6.323252-2 3.162278-1 8.919425-2 3.981072-1 1.247425-1 5.011872-1 1.730559-1 6.309573-1 2.382779-1 7.943282-1 3.256352-1 1.000000+0 4.418012-1 1.258925+0 5.952785-1 1.584893+0 7.969532-1 1.995262+0 1.060210+0 2.511886+0 1.402292+0 3.162278+0 1.844952+0 3.981072+0 2.415795+0 5.011872+0 3.149714+0 6.309573+0 4.091267+0 7.943282+0 5.296505+0 1.000000+1 6.836589+0 1.258925+1 8.801825+0 1.584893+1 1.130637+1 1.995262+1 1.449491+1 2.511886+1 1.855042+1 3.162278+1 2.370434+1 3.981072+1 3.024974+1 5.011872+1 3.855698+1 6.309573+1 4.909435+1 7.943282+1 6.245382+1 1.000000+2 7.938373+1 1.258925+2 1.008289+2 1.584893+2 1.279840+2 1.995262+2 1.623577+2 2.511886+2 2.058549+2 3.162278+2 2.608815+2 3.981072+2 3.304764+2 5.011872+2 4.184731+2 6.309573+2 5.297139+2 7.943282+2 6.703090+2 1.000000+3 8.479709+2 1.258925+3 1.072431+3 1.584893+3 1.355973+3 1.995262+3 1.714088+3 2.511886+3 2.166320+3 3.162278+3 2.737334+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 8.220000-6 3.459355+6 8.810489-6 2.386936+6 9.225714-6 1.853191+6 9.660509-6 1.427414+6 1.000000-5 1.167162+6 1.035142-5 9.490021+5 1.071519-5 7.670901+5 1.110000-5 6.130120+5 1.150000-5 4.856580+5 1.188502-5 3.879614+5 1.216186-5 3.299142+5 1.250000-5 2.703860+5 1.280000-5 2.263520+5 1.310000-5 1.892220+5 1.340000-5 1.579196+5 1.372000-5 1.299482+5 1.400000-5 1.093612+5 1.430000-5 9.072160+4 1.462177-5 7.407104+4 1.496236-5 5.962123+4 1.531087-5 4.766168+4 1.570000-5 3.710440+4 1.640590-5 2.382225+4 1.670000-5 2.003800+4 1.693000-5 1.765385+4 1.697000-5 1.729697+4 1.697000-5 4.927841+6 1.715000-5 4.897599+6 1.730000-5 4.872950+6 1.731000-5 4.872117+6 1.745000-5 4.860611+6 1.760000-5 4.848541+6 1.770000-5 4.840643+6 1.771000-5 4.840601+6 1.771000-5 8.040845+6 1.774000-5 8.036711+6 1.785000-5 8.021720+6 1.800000-5 8.001626+6 1.810000-5 7.993484+6 1.815000-5 7.992859+6 1.830000-5 7.991127+6 1.845000-5 7.989562+6 1.850000-5 7.991801+6 1.860000-5 8.002647+6 1.870000-5 8.013514+6 1.885000-5 8.029832+6 1.890000-5 8.035283+6 1.900000-5 8.057802+6 1.915000-5 8.091574+6 1.927525-5 8.119765+6 1.935000-5 8.139667+6 1.945000-5 8.166296+6 1.957000-5 8.206915+6 1.972423-5 8.259154+6 1.980000-5 8.288231+6 2.000000-5 8.365016+6 2.020000-5 8.454566+6 2.041738-5 8.561645+6 2.055000-5 8.627115+6 2.070000-5 8.709975+6 2.113489-5 8.970507+6 2.130000-5 9.079744+6 2.150000-5 9.221096+6 2.187762-5 9.490318+6 2.190000-5 9.507645+6 2.210000-5 9.670475+6 2.250000-5 9.999926+6 2.264644-5 1.012714+7 2.270000-5 1.017385+7 2.317395-5 1.061752+7 2.330000-5 1.073713+7 2.371374-5 1.115013+7 2.420000-5 1.166959+7 2.426610-5 1.174327+7 2.483133-5 1.238388+7 2.485000-5 1.240614+7 2.511886-5 1.272917+7 2.540973-5 1.309211+7 2.610000-5 1.397737+7 2.630268-5 1.424374+7 2.650000-5 1.451088+7 2.670000-5 1.479013+7 2.730000-5 1.564711+7 2.800000-5 1.668389+7 2.818383-5 1.696280+7 2.884032-5 1.798884+7 2.985383-5 1.964515+7 3.090295-5 2.145373+7 3.162278-5 2.271691+7 3.198895-5 2.336541+7 3.273407-5 2.471836+7 3.311311-5 2.539667+7 3.350000-5 2.609991+7 3.427678-5 2.750851+7 3.450000-5 2.790202+7 3.500000-5 2.879446+7 3.548134-5 2.964077+7 3.590900-5 3.036135+7 3.630781-5 3.104114+7 3.672823-5 3.173758+7 3.758374-5 3.308470+7 3.770000-5 3.326121+7 3.858700-5 3.451141+7 3.890451-5 3.493757+7 3.950000-5 3.565474+7 3.970000-5 3.589643+7 4.000000-5 3.623269+7 4.073803-5 3.695020+7 4.110000-5 3.726841+7 4.168694-5 3.768990+7 4.180000-5 3.777096+7 4.220000-5 3.802136+7 4.265795-5 3.823177+7 4.330000-5 3.846760+7 4.365158-5 3.854427+7 4.415704-5 3.860278+7 4.470000-5 3.858916+7 4.518559-5 3.852759+7 4.570882-5 3.838361+7 4.623810-5 3.818580+7 4.677351-5 3.791016+7 4.680000-5 3.789666+7 4.731513-5 3.758420+7 4.786301-5 3.718053+7 4.841724-5 3.672742+7 4.900000-5 3.618404+7 4.954502-5 3.563916+7 5.011872-5 3.500692+7 5.080000-5 3.422328+7 5.128614-5 3.362564+7 5.190000-5 3.284653+7 5.248075-5 3.207637+7 5.300000-5 3.137327+7 5.308844-5 3.125574+7 5.370318-5 3.039907+7 5.432503-5 2.952532+7 5.500000-5 2.856027+7 5.559043-5 2.771799+7 5.623413-5 2.679068+7 5.650000-5 2.640626+7 5.688529-5 2.586203+7 5.754399-5 2.492324+7 5.821032-5 2.398738+7 5.900000-5 2.289217+7 5.956621-5 2.212405+7 6.025596-5 2.119772+7 6.095369-5 2.028715+7 6.165950-5 1.938440+7 6.237348-5 1.850055+7 6.309573-5 1.762721+7 6.400000-5 1.657949+7 6.456542-5 1.594108+7 6.480700-5 1.567751+7 6.580000-5 1.462391+7 6.650000-5 1.390928+7 6.760830-5 1.283830+7 6.839116-5 1.211960+7 6.918310-5 1.142690+7 6.950000-5 1.116306+7 7.000000-5 1.074907+7 7.150000-5 9.592740+6 7.161434-5 9.508374+6 7.219000-5 9.088963+6 7.219000-5 1.022964+7 7.290000-5 9.739727+6 7.350000-5 9.344561+6 7.360000-5 9.279199+6 7.363000-5 9.259499+6 7.413102-5 8.933131+6 7.450000-5 8.702117+6 7.500000-5 8.397921+6 7.550000-5 8.097185+6 7.673615-5 7.402785+6 7.800000-5 6.740863+6 7.822000-5 6.632381+6 7.822000-5 7.136187+6 7.852356-5 6.992283+6 7.890000-5 6.813167+6 7.950000-5 6.537341+6 7.985000-5 6.382182+6 8.000000-5 6.316482+6 8.035261-5 6.165491+6 8.080000-5 5.977308+6 8.150000-5 5.691400+6 8.230000-5 5.381756+6 8.270000-5 5.232399+6 8.300000-5 5.122991+6 8.400000-5 4.774272+6 8.413951-5 4.727760+6 8.450000-5 4.609888+6 8.511380-5 4.414468+6 8.609938-5 4.116889+6 8.650000-5 4.003244+6 8.738900-5 3.759737+6 8.810489-5 3.574938+6 8.900000-5 3.358709+6 9.000000-5 3.132985+6 9.015711-5 3.098922+6 9.150000-5 2.826360+6 9.230000-5 2.676485+6 9.300000-5 2.552517+6 9.332543-5 2.497260+6 9.440609-5 2.325748+6 9.500000-5 2.236981+6 9.549926-5 2.165167+6 9.800000-5 1.850771+6 1.010000-4 1.551083+6 1.011579-4 1.537443+6 1.023293-4 1.441986+6 1.035142-4 1.353981+6 1.040000-4 1.320619+6 1.047129-4 1.274561+6 1.050000-4 1.256835+6 1.060000-4 1.198404+6 1.071519-4 1.137138+6 1.075000-4 1.120072+6 1.080000-4 1.096691+6 1.090000-4 1.052624+6 1.100000-4 1.012840+6 1.105000-4 9.942322+5 1.110000-4 9.770354+5 1.120000-4 9.444774+5 1.122018-4 9.383261+5 1.131300-4 9.114615+5 1.133600-4 9.052068+5 1.133600-4 1.082141+6 1.135011-4 1.078299+6 1.143000-4 1.058050+6 1.148154-4 1.046054+6 1.155000-4 1.030966+6 1.161449-4 1.017688+6 1.165000-4 1.010757+6 1.170000-4 1.001535+6 1.174898-4 9.929392+5 1.175000-4 9.927651+5 1.185000-4 9.773852+5 1.188502-4 9.724056+5 1.198000-4 9.597431+5 1.201000-4 9.560614+5 1.205000-4 9.514276+5 1.209000-4 9.471559+5 1.213000-4 9.432114+5 1.220000-4 9.367701+5 1.225000-4 9.325509+5 1.230269-4 9.283992+5 1.235000-4 9.250388+5 1.240000-4 9.217239+5 1.244515-4 9.188811+5 1.245000-4 9.186002+5 1.260000-4 9.118440+5 1.273503-4 9.075015+5 1.275000-4 9.070681+5 1.288250-4 9.046407+5 1.290000-4 9.043280+5 1.295700-4 9.038411+5 1.307000-4 9.034296+5 1.315000-4 9.038631+5 1.322000-4 9.044494+5 1.330000-4 9.054092+5 1.340000-4 9.070731+5 1.350000-4 9.091364+5 1.365000-4 9.137210+5 1.396368-4 9.249951+5 1.400000-4 9.264482+5 1.412538-4 9.318411+5 1.445440-4 9.478233+5 1.462177-4 9.567344+5 1.500000-4 9.771679+5 1.548817-4 1.004757+6 1.566751-4 1.014394+6 1.584893-4 1.024614+6 1.621810-4 1.044138+6 1.650000-4 1.057779+6 1.659587-4 1.062591+6 1.670000-4 1.067739+6 1.720000-4 1.089429+6 1.737801-4 1.096038+6 1.757924-4 1.103371+6 1.760000-4 1.104132+6 1.778279-4 1.110949+6 1.820000-4 1.123648+6 1.840772-4 1.129848+6 1.883649-4 1.139748+6 1.905461-4 1.144615+6 1.927525-4 1.148103+6 1.972423-4 1.154891+6 2.041738-4 1.161551+6 2.065380-4 1.162332+6 2.089296-4 1.162992+6 2.120000-4 1.163784+6 2.190000-4 1.162209+6 2.220000-4 1.160288+6 2.264644-4 1.157116+6 2.290868-4 1.154051+6 2.350000-4 1.147132+6 2.371374-4 1.144318+6 2.400000-4 1.139797+6 2.454709-4 1.130899+6 2.480000-4 1.126443+6 2.483133-4 1.125811+6 2.500000-4 1.122373+6 2.570396-4 1.108117+6 2.600160-4 1.101832+6 2.660725-4 1.087604+6 2.691535-4 1.080470+6 2.730000-4 1.071217+6 2.786121-4 1.056798+6 2.818383-4 1.048727+6 2.851018-4 1.040104+6 2.951209-4 1.012833+6 2.985383-4 1.003797+6 3.019952-4 9.944649+5 3.054921-4 9.847219+5 3.090295-4 9.748791+5 3.126079-4 9.650415+5 3.150000-4 9.585793+5 3.162278-4 9.551893+5 3.235937-4 9.345355+5 3.311311-4 9.141746+5 3.350000-4 9.039085+5 3.550000-4 8.503646+5 3.589219-4 8.399595+5 3.630781-4 8.291897+5 3.780000-4 7.916637+5 3.935501-4 7.535564+5 4.027170-4 7.322013+5 4.073803-4 7.212525+5 4.128600-4 7.086803+5 4.128600-4 7.859273+5 4.160000-4 7.825455+5 4.169700-4 7.808141+5 4.175000-4 7.801886+5 4.183000-4 7.797569+5 4.190000-4 7.799483+5 4.197000-4 7.807403+5 4.200600-4 7.814387+5 4.200600-4 8.360881+5 4.202000-4 8.364278+5 4.208000-4 8.383599+5 4.215000-4 8.413782+5 4.222000-4 8.453137+5 4.229500-4 8.506777+5 4.237000-4 8.573739+5 4.243000-4 8.637983+5 4.245000-4 8.662276+5 4.249000-4 8.713582+5 4.250000-4 8.727828+5 4.257000-4 8.835929+5 4.258000-4 8.853331+5 4.265795-4 9.001749+5 4.273000-4 9.165953+5 4.275000-4 9.215605+5 4.280000-4 9.350913+5 4.284700-4 9.489826+5 4.285000-4 9.498966+5 4.287000-4 9.562701+5 4.292000-4 9.732985+5 4.297000-4 9.918025+5 4.303000-4 1.016108+6 4.309000-4 1.042898+6 4.315191-4 1.073374+6 4.323000-4 1.116293+6 4.327000-4 1.140445+6 4.330000-4 1.158851+6 4.337000-4 1.205298+6 4.340000-4 1.226820+6 4.348000-4 1.286610+6 4.350000-4 1.302737+6 4.360000-4 1.386941+6 4.361000-4 1.395617+6 4.370000-4 1.479342+6 4.381000-4 1.589696+6 4.392000-4 1.708734+6 4.395000-4 1.741977+6 4.403000-4 1.835409+6 4.407000-4 1.882817+6 4.411000-4 1.931696+6 4.418000-4 2.017665+6 4.422000-4 2.068738+6 4.430000-4 2.170659+6 4.433000-4 2.210143+6 4.440000-4 2.300658+6 4.445000-4 2.367286+6 4.451300-4 2.450430+6 4.454000-4 2.486487+6 4.461000-4 2.578496+6 4.465000-4 2.632015+6 4.469000-4 2.683884+6 4.477000-4 2.789027+6 4.480000-4 2.827403+6 4.490000-4 2.956301+6 4.500000-4 3.080280+6 4.502400-4 3.110136+6 4.508000-4 3.176399+6 4.518559-4 3.301799+6 4.519000-4 3.306772+6 4.530000-4 3.428348+6 4.535000-4 3.483132+6 4.540000-4 3.534897+6 4.550000-4 3.636881+6 4.560000-4 3.730753+6 4.565000-4 3.776639+6 4.570882-4 3.826978+6 4.585000-4 3.944120+6 4.600000-4 4.052104+6 4.607000-4 4.100024+6 4.615000-4 4.149290+6 4.623810-4 4.200046+6 4.630000-4 4.236128+6 4.645000-4 4.308078+6 4.650000-4 4.329959+6 4.665000-4 4.386890+6 4.677351-4 4.428403+6 4.685000-4 4.450012+6 4.700000-4 4.485656+6 4.708000-4 4.500811+6 4.731513-4 4.534972+6 4.750000-4 4.547017+6 4.765000-4 4.551795+6 4.780000-4 4.551203+6 4.800000-4 4.542992+6 4.815000-4 4.532582+6 4.850000-4 4.498234+6 4.900000-4 4.426751+6 4.980000-4 4.301585+6 5.011872-4 4.251536+6 5.128614-4 4.075020+6 5.150000-4 4.043904+6 5.198800-4 3.975779+6 5.300000-4 3.843253+6 5.370318-4 3.755106+6 5.432503-4 3.679481+6 5.500000-4 3.596788+6 5.688529-4 3.375046+6 5.754399-4 3.302449+6 5.821032-4 3.231277+6 5.888437-4 3.161461+6 5.956621-4 3.093132+6 6.126300-4 2.932581+6 6.126300-4 3.094016+6 6.128000-4 3.095825+6 6.133000-4 3.102391+6 6.138000-4 3.108324+6 6.143000-4 3.113752+6 6.147000-4 3.117678+6 6.152000-4 3.122200+6 6.158000-4 3.127050+6 6.165950-4 3.132509+6 6.175000-4 3.137581+6 6.183000-4 3.141127+6 6.190000-4 3.143552+6 6.200000-4 3.145987+6 6.210000-4 3.147313+6 6.220000-4 3.147615+6 6.234000-4 3.146493+6 6.237348-4 3.145851+6 6.245000-4 3.144442+6 6.260000-4 3.140189+6 6.275000-4 3.134465+6 6.290000-4 3.127468+6 6.309573-4 3.116733+6 6.330000-4 3.103936+6 6.350000-4 3.089857+6 6.362600-4 3.080712+6 6.382635-4 3.064748+6 6.400000-4 3.050757+6 6.456542-4 3.002780+6 6.477900-4 2.984350+6 6.477900-4 3.048504+6 6.479600-4 3.048358+6 6.484000-4 3.048593+6 6.489000-4 3.048642+6 6.493500-4 3.048518+6 6.500000-4 3.048029+6 6.506000-4 3.047335+6 6.511000-4 3.046548+6 6.519000-4 3.044981+6 6.527000-4 3.043065+6 6.534000-4 3.041092+6 6.542000-4 3.038517+6 6.553000-4 3.034494+6 6.563000-4 3.030395+6 6.575000-4 3.024966+6 6.590000-4 3.017463+6 6.605000-4 3.009259+6 6.620000-4 3.000440+6 6.640000-4 2.987871+6 6.663000-4 2.972511+6 6.685000-4 2.957129+6 6.700000-4 2.946281+6 6.710000-4 2.938755+6 6.740000-4 2.915606+6 6.760830-4 2.899277+6 6.780000-4 2.884362+6 6.839116-4 2.838211+6 6.850000-4 2.829836+6 6.918310-4 2.777844+6 7.000000-4 2.717644+6 7.079458-4 2.660170+6 7.244360-4 2.547249+6 7.300000-4 2.509995+6 7.328245-4 2.491103+6 7.413102-4 2.435172+6 7.500000-4 2.379862+6 7.553700-4 2.346517+6 7.553700-4 2.447544+6 7.673615-4 2.373966+6 7.762471-4 2.320606+6 7.800000-4 2.298627+6 7.852356-4 2.268126+6 8.035261-4 2.166406+6 8.100000-4 2.132078+6 8.128305-4 2.117206+6 8.222426-4 2.069069+6 8.280000-4 2.040013+6 8.317638-4 2.021240+6 8.413951-4 1.973882+6 8.500000-4 1.933020+6 8.609938-4 1.882512+6 8.709636-4 1.838447+6 8.810489-4 1.795230+6 8.912509-4 1.753048+6 9.000000-4 1.718058+6 9.015711-4 1.711775+6 9.120108-4 1.670766+6 9.332543-4 1.590922+6 9.549926-4 1.514623+6 9.660509-4 1.478185+6 9.700000-4 1.465481+6 9.772372-4 1.441682+6 1.011579-3 1.336779+6 1.035142-3 1.271057+6 1.050000-3 1.232027+6 1.071519-3 1.178529+6 1.083927-3 1.148925+6 1.090000-3 1.134727+6 1.096478-3 1.119851+6 1.135011-3 1.036519+6 1.174898-3 9.593972+5 1.188502-3 9.345964+5 1.190000-3 9.319219+5 1.202264-3 9.102712+5 1.216186-3 8.864962+5 1.230269-3 8.633715+5 1.288250-3 7.771039+5 1.300000-3 7.611923+5 1.318257-3 7.372418+5 1.333521-3 7.177291+5 1.364583-3 6.803084+5 1.428894-3 6.115240+5 1.445440-3 5.952109+5 1.462177-3 5.792934+5 1.479108-3 5.638001+5 1.531087-3 5.195829+5 1.548817-3 5.056742+5 1.566751-3 4.920717+5 1.603245-3 4.659179+5 1.621810-3 4.533023+5 1.640590-3 4.410351+5 1.659587-3 4.291028+5 1.717908-3 3.951630+5 1.737801-3 3.844655+5 1.757924-3 3.739960+5 1.778279-3 3.637934+5 1.798871-3 3.538110+5 1.819701-3 3.441111+5 1.850000-3 3.306801+5 1.905461-3 3.078824+5 1.927525-3 2.993575+5 1.949845-3 2.910675+5 2.000000-3 2.736153+5 2.018366-3 2.675629+5 2.080000-3 2.486123+5 2.089296-3 2.459235+5 2.113489-3 2.390934+5 2.150000-3 2.292698+5 2.200000-3 2.166625+5 2.213095-3 2.135266+5 2.220000-3 2.118986+5 2.238721-3 2.075502+5 2.317395-3 1.905834+5 2.344229-3 1.852370+5 2.350000-3 1.841146+5 2.371374-3 1.800258+5 2.454709-3 1.651836+5 2.483133-3 1.605202+5 2.500000-3 1.578419+5 2.600160-3 1.431199+5 2.630268-3 1.390716+5 2.660725-3 1.351154+5 2.722701-3 1.275007+5 2.754229-3 1.238618+5 2.786121-3 1.203308+5 2.818383-3 1.169034+5 2.900000-3 1.088053+5 2.951209-3 1.041140+5 2.985383-3 1.011203+5 3.000000-3 9.987343+4 3.019952-3 9.820300+4 3.054921-3 9.536965+4 3.126079-3 8.995539+4 3.162278-3 8.735878+4 3.235937-3 8.239972+4 3.311311-3 7.771942+4 3.349654-3 7.545947+4 3.388442-3 7.326732+4 3.467369-3 6.907988+4 3.507519-3 6.708134+4 3.535400-3 6.573221+4 3.535400-3 2.154049+5 3.548134-3 2.136879+5 3.589219-3 2.082833+5 3.600000-3 2.068966+5 3.650000-3 1.999323+5 3.715352-3 1.909242+5 3.730900-3 1.888596+5 3.730900-3 2.592421+5 3.758374-3 2.546287+5 3.801894-3 2.475531+5 3.823000-3 2.442223+5 3.900000-3 2.319113+5 3.935501-3 2.264948+5 3.994100-3 2.179317+5 3.994100-3 2.504593+5 4.027170-3 2.453481+5 4.073803-3 2.383841+5 4.080000-3 2.374819+5 4.168694-3 2.252595+5 4.216965-3 2.189708+5 4.246900-3 2.151964+5 4.265795-3 2.128197+5 4.300000-3 2.086118+5 4.315191-3 2.067803+5 4.365158-3 2.008725+5 4.415704-3 1.950782+5 4.570882-3 1.787040+5 4.623810-3 1.735622+5 4.677351-3 1.685696+5 4.731513-3 1.636457+5 4.786301-3 1.588687+5 4.897788-3 1.497412+5 4.954502-3 1.453806+5 5.011872-3 1.411163+5 5.069907-3 1.369799+5 5.128614-3 1.329674+5 5.308844-3 1.216307+5 5.370318-3 1.180599+5 5.432503-3 1.145865+5 5.559043-3 1.079507+5 5.688529-3 1.017071+5 5.821032-3 9.583310+4 5.888437-3 9.299437+4 5.900000-3 9.251903+4 5.956621-3 9.024631+4 6.025596-3 8.758286+4 6.095369-3 8.499683+4 6.309573-3 7.769550+4 6.456542-3 7.316198+4 6.606934-3 6.886427+4 6.760830-3 6.482240+4 6.800000-3 6.384711+4 6.918310-3 6.102038+4 6.998420-3 5.920451+4 7.000000-3 5.916936+4 7.079458-3 5.743786+4 7.161434-3 5.570342+4 7.244360-3 5.402237+4 7.328245-3 5.239345+4 7.413102-3 5.081461+4 7.585776-3 4.777919+4 7.852356-3 4.356708+4 8.222426-3 3.851786+4 8.317638-3 3.735140+4 8.413951-3 3.622047+4 8.511380-3 3.511635+4 8.609938-3 3.404549+4 8.709636-3 3.300815+4 8.912509-3 3.102942+4 9.120108-3 2.916501+4 9.332543-3 2.739974+4 9.440609-3 2.655863+4 9.500000-3 2.611135+4 9.549926-3 2.574228+4 9.660509-3 2.494968+4 9.885531-3 2.343726+4 1.000000-2 2.271415+4 1.011579-2 2.201389+4 1.023293-2 2.133566+4 1.035142-2 2.067895+4 1.059254-2 1.942700+4 1.071519-2 1.883054+4 1.083927-2 1.825245+4 1.096478-2 1.768787+4 1.122018-2 1.660478+4 1.135011-2 1.608852+4 1.148154-2 1.558868+4 1.174898-2 1.463619+4 1.216186-2 1.331275+4 1.230269-2 1.289909+4 1.258925-2 1.211023+4 1.273503-2 1.173273+4 1.288250-2 1.136521+4 1.303167-2 1.100948+4 1.318257-2 1.066512+4 1.380384-2 9.393542+3 1.396368-2 9.100554+3 1.400000-2 9.035750+3 1.412538-2 8.816699+3 1.428894-2 8.541878+3 1.445440-2 8.273189+3 1.450000-2 8.201203+3 1.462177-2 8.012195+3 1.496236-2 7.514575+3 1.500000-2 7.462227+3 1.548817-2 6.826798+3 1.600000-2 6.237862+3 1.603245-2 6.202916+3 1.640590-2 5.819214+3 1.659587-2 5.636595+3 1.678804-2 5.458510+3 1.698244-2 5.286144+3 1.717908-2 5.118534+3 1.737801-2 4.955858+3 1.819701-2 4.356455+3 1.840772-2 4.218433+3 1.862087-2 4.084774+3 1.927525-2 3.709115+3 1.949845-2 3.591932+3 1.950000-2 3.591137+3 1.972423-2 3.477684+3 2.018366-2 3.260133+3 2.041738-2 3.156165+3 2.113489-2 2.863491+3 2.137962-2 2.772176+3 2.264644-2 2.357760+3 2.290868-2 2.282269+3 2.317395-2 2.209244+3 2.371374-2 2.070251+3 2.400000-2 2.001398+3 2.454709-2 1.877882+3 2.483133-2 1.817649+3 2.511886-2 1.759394+3 2.600160-2 1.595571+3 2.660725-2 1.494411+3 2.668800-2 1.481594+3 2.668800-2 9.323114+3 2.691535-2 9.140685+3 2.722701-2 8.898870+3 2.740000-2 8.768610+3 2.800000-2 8.263968+3 2.851018-2 7.898546+3 2.884032-2 7.673940+3 2.917427-2 7.442283+3 2.951209-2 7.217648+3 3.000000-2 6.909330+3 3.090295-2 6.384177+3 3.198895-2 5.831402+3 3.235937-2 5.658037+3 3.273407-2 5.489858+3 3.349654-2 5.168420+3 3.427678-2 4.865863+3 3.467369-2 4.721262+3 3.500000-2 4.606638+3 3.507519-2 4.580098+3 3.630781-2 4.173446+3 3.672823-2 4.046115+3 3.758374-2 3.802977+3 3.981072-2 3.257351+3 4.027170-2 3.158035+3 4.073803-2 3.061640+3 4.168694-2 2.874451+3 4.216965-2 2.785177+3 4.315191-2 2.614879+3 4.466836-2 2.378816+3 4.570882-2 2.233434+3 4.623810-2 2.164121+3 4.731513-2 2.031877+3 4.786301-2 1.968747+3 4.841724-2 1.907581+3 5.069907-2 1.681342+3 5.188000-2 1.576745+3 5.248075-2 1.526905+3 5.623413-2 1.259321+3 5.754399-2 1.180919+3 5.888437-2 1.107392+3 6.165950-2 9.738136+2 6.309573-2 9.132037+2 6.382635-2 8.839208+2 6.531306-2 8.281479+2 6.606934-2 8.015985+2 6.683439-2 7.759014+2 6.839116-2 7.268979+2 6.918310-2 7.035710+2 7.413102-2 5.785185+2 7.498942-2 5.599578+2 7.585776-2 5.419937+2 7.673615-2 5.246068+2 7.852356-2 4.914899+2 8.035261-2 4.601144+2 8.413951-2 4.031953+2 9.120108-2 3.200082+2 9.225714-2 3.096186+2 9.440609-2 2.898420+2 9.885531-2 2.540027+2 1.011580-1 2.376214+2 1.035142-1 2.222959+2 1.083927-1 1.945489+2 1.122019-1 1.760401+2 1.135011-1 1.702711+2 1.148154-1 1.646912+2 1.161449-1 1.592944+2 1.216186-1 1.394201+2 1.244515-1 1.304341+2 1.258925-1 1.261618+2 1.303167-1 1.141591+2 1.318257-1 1.104179+2 1.333521-1 1.067996+2 1.348963-1 1.032998+2 1.364583-1 9.991465+1 1.396368-1 9.347454+1 1.500000-1 7.598684+1 1.513561-1 7.403393+1 1.531088-1 7.160910+1 1.548817-1 6.926392+1 1.566751-1 6.699564+1 1.584893-1 6.480167+1 1.603245-1 6.267961+1 1.640590-1 5.864185+1 1.717908-1 5.133148+1 1.737801-1 4.965102+1 1.757924-1 4.802564+1 1.778279-1 4.645358+1 1.798871-1 4.493292+1 1.862087-1 4.066422+1 1.883649-1 3.933348+1 1.927525-1 3.680136+1 1.949845-1 3.559729+1 1.995262-1 3.330619+1 2.000000-1 3.307873+1 2.065380-1 3.016864+1 2.089296-1 2.919072+1 2.113489-1 2.824451+1 2.162719-1 2.644319+1 2.187762-1 2.558691+1 2.213095-1 2.475841+1 2.238721-1 2.395687+1 2.290868-1 2.243079+1 2.317395-1 2.170462+1 2.344229-1 2.100201+1 2.371374-1 2.032226+1 2.426610-1 1.902837+1 2.454709-1 1.841267+1 2.483133-1 1.782464+1 2.511886-1 1.725542+1 2.540973-1 1.670437+1 2.630268-1 1.515485+1 2.691535-1 1.420273+1 2.754229-1 1.331168+1 2.786121-1 1.288735+1 2.818383-1 1.247660+1 2.851018-1 1.207895+1 2.884032-1 1.169987+1 2.951209-1 1.097716+1 3.019952-1 1.029923+1 3.054921-1 9.976137+0 3.090295-1 9.663184+0 3.126079-1 9.360060+0 3.162278-1 9.066444+0 3.235937-1 8.507471+0 3.273407-1 8.241053+0 3.311311-1 7.983085+0 3.349654-1 7.737445+0 3.388442-1 7.499438+0 3.427678-1 7.268761+0 3.467369-1 7.045187+0 3.507519-1 6.828496+0 3.548134-1 6.618471+0 3.630781-1 6.217615+0 3.672823-1 6.026767+0 3.758374-1 5.662518+0 3.801894-1 5.491951+0 3.845918-1 5.326529+0 3.981072-1 4.859747+0 4.073803-1 4.571580+0 4.120975-1 4.433993+0 4.168694-1 4.300806+0 4.216965-1 4.171627+0 4.265795-1 4.048805+0 4.365158-1 3.813924+0 4.415705-1 3.701712+0 4.466836-1 3.592808+0 4.518559-1 3.487109+0 4.570882-1 3.384534+0 4.623810-1 3.284983+0 4.677351-1 3.188561+0 4.786301-1 3.007939+0 4.841724-1 2.921529+0 4.897788-1 2.837602+0 5.011872-1 2.676990+0 5.069907-1 2.600142+0 5.128614-1 2.525501+0 5.188000-1 2.453169+0 5.248075-1 2.384475+0 5.308844-1 2.317721+0 5.370318-1 2.252835+0 5.432503-1 2.189772+0 5.495409-1 2.128476+0 5.559043-1 2.068927+0 5.688529-1 1.954803+0 5.754399-1 1.900264+0 5.888437-1 1.798299+0 5.956621-1 1.749389+0 6.000000-1 1.719248+0 6.025596-1 1.701809+0 6.095369-1 1.655531+0 6.165950-1 1.610535+0 6.237348-1 1.566770+0 6.309573-1 1.524203+0 6.382635-1 1.482899+0 6.531306-1 1.405696+0 6.606935-1 1.368615+0 6.683439-1 1.332515+0 6.760830-1 1.297372+0 6.839117-1 1.263180+0 6.998420-1 1.197490+0 7.079458-1 1.166023+0 7.244360-1 1.107182+0 7.328245-1 1.078887+0 7.413102-1 1.051320+0 7.498942-1 1.024462+0 7.762471-1 9.479909-1 7.852356-1 9.238614-1 7.943282-1 9.009787-1 8.035261-1 8.786635-1 8.128305-1 8.569051-1 8.222427-1 8.356855-1 8.317638-1 8.149964-1 8.413951-1 7.948219-1 8.511380-1 7.751582-1 8.609938-1 7.560395-1 8.709636-1 7.373937-1 8.810489-1 7.197704-1 9.015711-1 6.857782-1 9.120108-1 6.693928-1 9.225714-1 6.534018-1 9.332543-1 6.378072-1 9.440609-1 6.226351-1 9.549926-1 6.078242-1 9.660509-1 5.938548-1 9.772372-1 5.802074-1 9.885531-1 5.668776-1 1.000000+0 5.538599-1 1.011579+0 5.411430-1 1.022000+0 5.300733-1 1.023293+0 5.287235-1 1.035142+0 5.166163-1 1.047129+0 5.047884-1 1.071519+0 4.819408-1 1.083927+0 4.709096-1 1.096478+0 4.603570-1 1.109175+0 4.500403-1 1.122018+0 4.399588-1 1.135011+0 4.301023-1 1.148154+0 4.204669-1 1.161449+0 4.110488-1 1.188600+0 3.928670-1 1.202264+0 3.844952-1 1.216186+0 3.762430-1 1.244515+0 3.602666-1 1.258925+0 3.525352-1 1.303167+0 3.303276-1 1.318257+0 3.232623-1 1.333521+0 3.163496-1 1.380384+0 2.964853-1 1.396368+0 2.903163-1 1.428894+0 2.783628-1 1.445440+0 2.725725-1 1.462177+0 2.669031-1 1.479108+0 2.613517-1 1.496236+0 2.559371-1 1.531087+0 2.454435-1 1.548817+0 2.403589-1 1.584893+0 2.308295-1 1.640590+0 2.172407-1 1.659587+0 2.129087-1 1.678804+0 2.086640-1 1.698244+0 2.045041-1 1.717908+0 2.004274-1 1.737801+0 1.964325-1 1.778279+0 1.889278-1 1.798871+0 1.852840-1 1.819701+0 1.817105-1 1.840772+0 1.782060-1 1.862087+0 1.747843-1 1.883649+0 1.714289-1 1.905461+0 1.681381-1 1.927525+0 1.649108-1 1.972423+0 1.588490-1 1.995262+0 1.559027-1 2.000000+0 1.553025-1 2.065380+0 1.473874-1 2.113489+0 1.419918-1 2.137962+0 1.393687-1 2.187762+0 1.342670-1 2.264644+0 1.271590-1 2.290868+0 1.248745-1 2.317395+0 1.226311-1 2.371374+0 1.182644-1 2.426610+0 1.140692-1 2.454709+0 1.120278-1 2.511886+0 1.080542-1 2.600160+0 1.025173-1 2.630268+0 1.007357-1 2.660725+0 9.898499-2 2.722701+0 9.557441-2 2.786121+0 9.229404-2 2.818383+0 9.069639-2 2.884032+0 8.758370-2 3.000000+0 8.266004-2 3.019952+0 8.185990-2 3.054921+0 8.048855-2 3.090295+0 7.914018-2 3.162278+0 7.652185-2 3.198895+0 7.524543-2 3.311311+0 7.154264-2 3.467369+0 6.702719-2 3.507519+0 6.594372-2 3.548134+0 6.487777-2 3.589219+0 6.382905-2 3.672823+0 6.179052-2 3.715352+0 6.079585-2 3.845918+0 5.790699-2 4.027170+0 5.437245-2 4.073803+0 5.352314-2 4.168694+0 5.186413-2 4.216965+0 5.105401-2 4.315191+0 4.947771-2 4.365158+0 4.870794-2 4.518559+0 4.646984-2 4.731513+0 4.372486-2 4.786301+0 4.306442-2 4.897788+0 4.177331-2 4.954502+0 4.114234-2 5.069907+0 3.991358-2 5.128614+0 3.931305-2 5.308844+0 3.756522-2 5.370318+0 3.701611-2 5.623413+0 3.489880-2 5.688529+0 3.438873-2 5.821032+0 3.339084-2 5.888437+0 3.290281-2 6.025596+0 3.195147-2 6.165950+0 3.102767-2 6.382635+0 2.969187-2 6.456542+0 2.927145-2 6.760830+0 2.764849-2 6.839116+0 2.725706-2 7.000000+0 2.648333-2 7.079458+0 2.611569-2 7.244360+0 2.538408-2 7.328245+0 2.502602-2 7.498942+0 2.432497-2 7.762471+0 2.331008-2 7.852356+0 2.299031-2 8.222427+0 2.175451-2 8.317638+0 2.145611-2 8.511380+0 2.087155-2 8.609938+0 2.058526-2 8.810489+0 2.002643-2 8.912509+0 1.975274-2 9.120108+0 1.921652-2 9.440609+0 1.843940-2 9.549926+0 1.819297-2 1.035142+1 1.655780-2 1.059254+1 1.611824-2 1.100000+1 1.542279-2 1.109175+1 1.527382-2 1.135011+1 1.486976-2 1.148154+1 1.467176-2 1.161449+1 1.447641-2 1.174898+1 1.428366-2 1.188502+1 1.409794-2 1.300000+1 1.273163-2 1.333521+1 1.236847-2 1.380384+1 1.189229-2 1.445440+1 1.128710-2 1.462177+1 1.114069-2 1.479108+1 1.099617-2 1.500000+1 1.082265-2 1.513561+1 1.071275-2 1.531087+1 1.057720-2 1.548817+1 1.044339-2 1.640590+1 9.799307-3 1.678804+1 9.552960-3 1.883649+1 8.413846-3 1.949845+1 8.099382-3 1.995262+1 7.896306-3 2.018366+1 7.796684-3 2.041738+1 7.698317-3 2.065380+1 7.603094-3 2.089296+1 7.509059-3 2.200000+1 7.101456-3 2.238721+1 6.968789-3 2.264644+1 6.882618-3 2.570396+1 6.004357-3 2.660725+1 5.784925-3 2.691535+1 5.713579-3 2.722701+1 5.643115-3 2.754229+1 5.573517-3 2.786121+1 5.504780-3 2.818383+1 5.438093-3 2.851018+1 5.372221-3 3.090295+1 4.932928-3 3.162278+1 4.814153-3 3.198895+1 4.755851-3 3.235937+1 4.698359-3 3.672823+1 4.110216-3 3.845918+1 3.915115-3 3.890451+1 3.867806-3 3.981072+1 3.774894-3 4.027170+1 3.729280-3 4.073803+1 3.684215-3 4.120975+1 3.640374-3 4.168694+1 3.597057-3 4.623810+1 3.229686-3 4.731513+1 3.153288-3 4.841724+1 3.078706-3 4.897788+1 3.042136-3 5.688529+1 2.604548-3 6.025596+1 2.453533-3 6.095369+1 2.424398-3 6.309573+1 2.339053-3 6.382635+1 2.311277-3 6.456542+1 2.283832-3 6.531306+1 2.257043-3 6.683439+1 2.204408-3 7.585776+1 1.936107-3 7.852356+1 1.868782-3 8.128305+1 1.803802-3 8.222427+1 1.782673-3 1.011579+2 1.442060-3 1.083927+2 1.343654-3 1.096478+2 1.327920-3 1.122018+2 1.297001-3 1.135011+2 1.281811-3 1.148154+2 1.266800-3 1.161449+2 1.252111-3 1.188502+2 1.223244-3 1.318257+2 1.101358-3 1.333521+2 1.088589-3 1.364583+2 1.063492-3 1.412538+2 1.026929-3 1.462177+2 9.916514-4 2.018366+2 7.156201-4 2.162719+2 6.673035-4 2.187762+2 6.595741-4 2.238721+2 6.443831-4 2.264644+2 6.369192-4 2.290868+2 6.295416-4 2.317395+2 6.222949-4 2.371374+2 6.080513-4 2.630268+2 5.478834-4 2.660725+2 5.415771-4 2.722701+2 5.291814-4 2.818383+2 5.111182-4 2.917427+2 4.936816-4 4.027170+2 3.570815-4 8.609938+2 1.664053-4 8.709636+2 1.644913-4 8.912509+2 1.607291-4 9.015711+2 1.588804-4 9.120108+2 1.570530-4 9.225714+2 1.552536-4 9.440609+2 1.517166-4 1.047129+3 1.367713-4 1.059254+3 1.352044-4 1.083927+3 1.321242-4 1.122018+3 1.276352-4 1.161449+3 1.233000-4 1.603245+3 8.931126-5 5.432503+4 2.632005-6 5.495409+4 2.601864-6 5.623413+4 2.542615-6 5.688529+4 2.513499-6 5.754399+4 2.484715-6 5.821032+4 2.456280-6 5.956621+4 2.400382-6 1.000000+5 1.430005-6 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 8.220000-6 8.220000-6 1.697000-5 8.220000-6 1.697000-5 1.693929-5 1.771000-5 1.694727-5 1.771000-5 1.725083-5 2.985383-5 1.722423-5 6.400000-5 1.724637-5 7.219000-5 1.722715-5 7.219000-5 1.912910-5 7.673615-5 1.963701-5 7.822000-5 1.978649-5 7.822000-5 2.083690-5 8.650000-5 2.222250-5 9.332543-5 2.341892-5 1.011579-4 2.499635-5 1.075000-4 2.628453-5 1.120000-4 2.702796-5 1.133600-4 2.720181-5 1.133600-4 3.102816-5 1.165000-4 3.153498-5 1.201000-4 3.188603-5 1.235000-4 3.200844-5 1.275000-4 3.194125-5 1.330000-4 3.158364-5 1.548817-4 2.943130-5 1.659587-4 2.857858-5 1.778279-4 2.786819-5 1.905461-4 2.729682-5 2.065380-4 2.677875-5 2.220000-4 2.642103-5 2.454709-4 2.607758-5 2.786121-4 2.583863-5 3.235937-4 2.572932-5 3.780000-4 2.576037-5 4.128600-4 2.585151-5 4.128600-4 2.809507-5 4.183000-4 2.830005-5 4.200600-4 2.846025-5 4.200600-4 2.980109-5 4.222000-4 3.013677-5 4.245000-4 3.071873-5 4.258000-4 3.118004-5 4.275000-4 3.196062-5 4.292000-4 3.293952-5 4.315191-4 3.452275-5 4.361000-4 3.797223-5 4.381000-4 3.935110-5 4.407000-4 4.088457-5 4.433000-4 4.211065-5 4.461000-4 4.311713-5 4.490000-4 4.389019-5 4.530000-4 4.462264-5 4.585000-4 4.523568-5 4.665000-4 4.568222-5 4.780000-4 4.591062-5 6.126300-4 4.585885-5 6.126300-4 4.773360-5 6.165950-4 4.855991-5 6.220000-4 4.926060-5 6.290000-4 4.973862-5 6.400000-4 5.001691-5 6.477900-4 5.008630-5 6.477900-4 5.079006-5 6.553000-4 5.138640-5 6.663000-4 5.178748-5 7.079458-4 5.225831-5 7.553700-4 5.267203-5 7.553700-4 5.499913-5 1.011579-3 5.762201-5 1.230269-3 5.953348-5 1.531087-3 6.176284-5 1.905461-3 6.404147-5 2.371374-3 6.633246-5 2.951209-3 6.862015-5 3.535400-3 7.047558-5 3.535400-3 9.967598-5 3.730900-3 9.992393-5 3.730900-3 1.048640-4 3.994100-3 1.050519-4 3.994100-3 1.107115-4 5.559043-3 1.129547-4 7.852356-3 1.153985-4 1.135011-2 1.181320-4 1.603245-2 1.207550-4 2.137962-2 1.229216-4 2.668800-2 1.245455-4 2.668800-2 1.273837-4 5.754399-2 1.281261-4 1.717908-1 1.286654-4 1.188600+0 1.289291-4 1.000000+5 1.289258-4 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.220000-6 0.0 7.219000-5 0.0 7.219000-5 2.91066-11 7.290000-5 3.05072-11 7.450000-5 3.33982-11 7.550000-5 3.51101-11 7.822000-5 3.95142-11 7.822000-5 6.31609-11 8.000000-5 6.92126-11 8.150000-5 7.40702-11 8.900000-5 9.72562-11 9.230000-5 1.08067-10 9.549926-5 1.19219-10 1.011579-4 1.40152-10 1.050000-4 1.54447-10 1.075000-4 1.63115-10 1.090000-4 1.67918-10 1.110000-4 1.73549-10 1.122018-4 1.76646-10 1.133600-4 1.79188-10 1.133600-4 2.03889-10 1.155000-4 2.08258-10 1.175000-4 2.11204-10 1.198000-4 2.13293-10 1.225000-4 2.14109-10 1.245000-4 2.13686-10 1.275000-4 2.11737-10 1.307000-4 2.08310-10 1.350000-4 2.02254-10 1.462177-4 1.84442-10 1.500000-4 1.78689-10 1.566751-4 1.69735-10 1.621810-4 1.63311-10 1.670000-4 1.58417-10 1.720000-4 1.53946-10 1.778279-4 1.49398-10 1.840772-4 1.45238-10 1.905461-4 1.41553-10 1.972423-4 1.38289-10 2.065380-4 1.34665-10 2.120000-4 1.32741-10 2.220000-4 1.30047-10 2.350000-4 1.27328-10 2.500000-4 1.25241-10 2.660725-4 1.23780-10 2.851018-4 1.22762-10 3.126079-4 1.22209-10 3.350000-4 1.22289-10 3.589219-4 1.22861-10 3.780000-4 1.23449-10 4.128600-4 1.25127-10 4.128600-4 1.32828-10 4.190000-4 1.33937-10 4.200600-4 1.34348-10 4.200600-4 7.825351-9 4.215000-4 7.866123-9 4.229500-4 7.871400-9 4.250000-4 7.815858-9 4.258000-4 7.826608-9 4.265795-4 7.876505-9 4.273000-4 7.958335-9 4.280000-4 8.074165-9 4.287000-4 8.228681-9 4.292000-4 8.363038-9 4.297000-4 8.519807-9 4.303000-4 8.738098-9 4.309000-4 8.989687-9 4.315191-4 9.284091-9 4.323000-4 9.704723-9 4.330000-4 1.013109-8 4.337000-4 1.060570-8 4.348000-4 1.144257-8 4.361000-4 1.257228-8 4.370000-4 1.344290-8 4.381000-4 1.457413-8 4.392000-4 1.579100-8 4.403000-4 1.707289-8 4.411000-4 1.803791-8 4.422000-4 1.939256-8 4.440000-4 2.167319-8 4.445000-4 2.226866-8 4.461000-4 2.426156-8 4.469000-4 2.521521-8 4.480000-4 2.647878-8 4.500000-4 2.862057-8 4.508000-4 2.942537-8 4.530000-4 3.141003-8 4.540000-4 3.221545-8 4.560000-4 3.366388-8 4.570882-4 3.437079-8 4.600000-4 3.599039-8 4.623810-4 3.705235-8 4.645000-4 3.787564-8 4.665000-4 3.853967-8 4.685000-4 3.909329-8 4.708000-4 3.964354-8 4.750000-4 4.040238-8 4.780000-4 4.078937-8 4.815000-4 4.111222-8 4.900000-4 4.149516-8 5.011872-4 4.151233-8 5.370318-4 4.138257-8 6.126300-4 4.131618-8 6.126300-4 4.910474-8 6.147000-4 5.107222-8 6.165950-4 5.253944-8 6.190000-4 5.403428-8 6.220000-4 5.545283-8 6.245000-4 5.634054-8 6.275000-4 5.713311-8 6.309573-4 5.776670-8 6.362600-4 5.835777-8 6.400000-4 5.861158-8 6.477900-4 5.890900-8 6.477900-4 6.338116-8 6.506000-4 6.505294-8 6.542000-4 6.667170-8 6.575000-4 6.776436-8 6.620000-4 6.881412-8 6.685000-4 6.972745-8 6.780000-4 7.045378-8 7.328245-4 7.306911-8 7.553700-4 7.402204-8 7.553700-4 8.232479-8 8.810489-4 8.855698-8 1.035142-3 9.557447-8 1.135011-3 9.971976-8 1.333521-3 1.070654-7 1.479108-3 1.118519-7 1.717908-3 1.187791-7 1.949845-3 1.246127-7 2.238721-3 1.309333-7 2.500000-3 1.358997-7 2.786121-3 1.407456-7 3.162278-3 1.462538-7 3.535400-3 1.509642-7 3.535400-3 1.329488-4 3.650000-3 1.333750-4 3.730900-3 1.333351-4 3.730900-3 1.589491-4 3.935501-3 1.591750-4 3.994100-3 1.591594-4 3.994100-3 1.649505-4 5.069907-3 1.657557-4 7.852356-3 1.665353-4 2.018366-2 1.667564-4 2.668800-2 1.666754-4 2.668800-2 1.689442-2 2.884032-2 1.697367-2 3.758374-2 1.713638-2 5.248075-2 1.727661-2 8.035261-2 1.738291-2 1.640590-1 1.746089-2 1.303167+0 1.752390-2 1.000000+5 1.752081-2 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.220000-6 0.0 1.697000-5 8.750000-6 1.697000-5 3.071294-8 1.731000-5 3.663257-7 1.771000-5 7.627314-7 1.771000-5 4.591655-7 2.000000-5 2.761847-6 2.540973-5 8.189996-6 7.219000-5 5.496285-5 7.219000-5 5.306087-5 7.822000-5 5.843347-5 7.822000-5 5.738304-5 9.500000-5 7.126090-5 1.100000-4 8.327912-5 1.133600-4 8.615801-5 1.133600-4 8.233164-5 1.188502-4 8.705880-5 1.245000-4 9.248754-5 1.330000-4 1.014162-4 1.621810-4 1.333401-4 1.927525-4 1.655338-4 2.483133-4 2.222644-4 4.128600-4 3.870084-4 4.128600-4 3.847648-4 4.200600-4 3.915996-4 4.200600-4 3.902511-4 4.275000-4 3.955314-4 4.418000-4 4.003427-4 4.519000-4 4.074166-4 4.750000-4 4.290811-4 6.126300-4 5.667298-4 6.126300-4 5.648473-4 6.330000-4 5.830595-4 6.477900-4 5.976448-4 6.477900-4 5.969366-4 7.244360-4 6.719573-4 7.553700-4 7.026240-4 7.553700-4 7.002885-4 2.317395-3 2.251175-3 3.535400-3 3.464773-3 3.535400-3 3.302775-3 3.730900-3 3.497641-3 3.730900-3 3.467087-3 3.994100-3 3.729889-3 3.994100-3 3.718438-3 2.668800-2 2.639678-2 2.668800-2 9.666194-3 2.740000-2 1.033592-2 3.758374-2 2.031960-2 6.382635-2 4.636343-2 1.333521+1 1.331756+1 1.000000+5 9.999998+4 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 2.668800-2 7.841520+3 2.740000-2 7.393760+3 2.800000-2 6.971040+3 2.884032-2 6.485006+3 3.090295-2 5.407587+3 3.500000-2 3.921960+3 4.073803-2 2.618621+3 5.069907-2 1.445626+3 6.309573-2 7.881962+2 7.852356-2 4.253888+2 9.885531-2 2.202904+2 2.000000-1 2.877460+1 2.454709-1 1.602158+1 2.851018-1 1.051302+1 3.311311-1 6.949622+0 3.758374-1 4.930222+0 4.216965-1 3.632746+0 4.677351-1 2.777230+0 5.188000-1 2.137149+0 5.754399-1 1.655797+0 6.382635-1 1.292440+0 7.079458-1 1.016547+0 7.852356-1 8.056681-1 8.709636-1 6.431801-1 9.549926-1 5.302652-1 1.083927+0 4.108909-1 1.188600+0 3.428037-1 1.380384+0 2.586890-1 1.548817+0 2.097051-1 1.737801+0 1.713768-1 1.927525+0 1.438784-1 2.187762+0 1.171464-1 2.511886+0 9.427668-2 2.884032+0 7.641653-2 3.311311+0 6.241957-2 3.845918+0 5.052273-2 4.518559+0 4.054435-2 5.308844+0 3.277519-2 6.382635+0 2.590586-2 7.762471+0 2.033766-2 9.440609+0 1.608819-2 1.174898+1 1.246281-2 1.513561+1 9.346671-3 2.041738+1 6.716723-3 2.786121+1 4.802828-3 4.073803+1 3.214420-3 6.456542+1 1.992604-3 1.148154+2 1.105272-3 2.290868+2 5.492969-4 9.120108+2 1.370331-4 5.754399+4 2.168036-6 1.000000+5 1.247800-6 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 2.668800-2 1.279200-4 1.000000+5 1.279200-4 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.668800-2 2.005500-2 1.000000+5 2.005500-2 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.668800-2 6.505080-3 1.000000+5 9.999998+4 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 3.994100-3 3.252762+4 4.080000-3 3.131132+4 4.315191-3 2.874801+4 4.954502-3 2.285946+4 5.308844-3 2.021085+4 5.900000-3 1.667130+4 6.456542-3 1.419397+4 6.998420-3 1.217809+4 8.413951-3 8.523525+3 9.500000-3 6.665860+3 1.083927-2 5.080410+3 1.273503-2 3.602397+3 1.428894-2 2.800952+3 1.659587-2 2.004274+3 1.950000-2 1.383982+3 2.264644-2 9.733788+2 2.600160-2 6.984156+2 3.000000-2 4.919560+2 3.467369-2 3.427514+2 4.027170-2 2.342992+2 4.731513-2 1.544228+2 5.623413-2 9.799773+1 6.683439-2 6.171779+1 8.035261-2 3.740685+1 9.885531-2 2.112765+1 1.258925-1 1.075838+1 2.162719-1 2.347680+0 2.691535-1 1.277303+0 3.162278-1 8.215101-1 3.630781-1 5.666305-1 4.120975-1 4.058537-1 4.623810-1 3.016367-1 5.128614-1 2.323629-1 5.688529-1 1.801836-1 6.309573-1 1.406558-1 6.998420-1 1.105747-1 7.762471-1 8.755334-2 8.511380-1 7.161775-2 9.332543-1 5.897185-2 1.023293+0 4.889886-2 1.161449+0 3.802313-2 1.303167+0 3.054568-2 1.479108+0 2.416498-2 1.640590+0 2.008715-2 1.840772+0 1.648045-2 2.065380+0 1.362797-2 2.371374+0 1.093372-2 2.722701+0 8.835904-3 3.090295+0 7.316144-3 3.589219+0 5.901066-3 4.216965+0 4.719998-3 4.954502+0 3.803867-3 5.888437+0 3.041849-3 7.079458+0 2.414266-3 8.609938+0 1.903119-3 1.109175+1 1.412145-3 1.380384+1 1.099854-3 1.678804+1 8.832955-4 2.264644+1 6.363367-4 3.198895+1 4.396822-4 4.841724+1 2.846208-4 8.128305+1 1.667659-4 1.412538+2 9.497583-5 2.818383+2 4.726450-5 1.122018+3 1.180720-5 1.000000+5 1.323100-7 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 3.994100-3 1.486300-4 1.000000+5 1.486300-4 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.994100-3 2.037500-4 1.000000+5 2.037500-4 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 3.994100-3 3.641720-3 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 3.730900-3 7.038245+4 3.823000-3 6.698242+4 4.073803-3 5.689000+4 4.365158-3 4.774500+4 4.677351-3 3.976000+4 5.370318-3 2.731200+4 6.309573-3 1.753700+4 7.413102-3 1.113200+4 8.912509-3 6.517200+3 9.885531-3 4.799100+3 1.174898-2 2.857900+3 1.428894-2 1.569100+3 1.717908-2 8.828400+2 2.041738-2 5.105400+2 2.454709-2 2.822700+2 3.000000-2 1.467100+2 3.672823-2 7.521500+1 4.623810-2 3.488000+1 6.165950-2 1.322900+1 1.083927-1 1.961500+0 1.364583-1 9.055000-1 1.640590-1 4.911600-1 1.927525-1 2.896000-1 2.213095-1 1.854500-1 2.540973-1 1.195800-1 2.884032-1 8.050794-2 3.273407-1 5.461773-2 3.672823-1 3.866581-2 4.073803-1 2.852061-2 4.518559-1 2.118033-2 5.011872-1 1.583792-2 5.559043-1 1.192746-2 6.165950-1 9.047190-3 6.760830-1 7.125619-3 7.328245-1 5.817786-3 8.035261-1 4.647339-3 9.225714-1 3.351272-3 9.772372-1 2.938806-3 1.035142+0 2.594446-3 1.109175+0 2.248658-3 1.188600+0 1.962366-3 1.318257+0 1.619297-3 1.496236+0 1.290897-3 1.717908+0 1.012321-3 1.927525+0 8.326580-4 2.187762+0 6.778743-4 2.511886+0 5.455449-4 2.884032+0 4.422060-4 3.311311+0 3.612103-4 3.845918+0 2.923649-4 4.518559+0 2.346238-4 5.308844+0 1.896662-4 6.382635+0 1.499124-4 7.762471+0 1.176879-4 9.440609+0 9.309937-5 1.174898+1 7.211865-5 1.531087+1 5.339725-5 2.065380+1 3.838361-5 2.818383+1 2.745357-5 4.120975+1 1.837824-5 6.531306+1 1.139477-5 1.161449+2 6.321762-6 2.317395+2 3.141946-6 9.225714+2 7.839091-7 5.821032+4 1.240244-8 1.000000+5 7.220800-9 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 3.730900-3 1.181200-4 1.000000+5 1.181200-4 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.730900-3 2.276800-4 1.000000+5 2.276800-4 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.730900-3 3.385100-3 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 3.535400-3 1.496727+5 3.600000-3 1.441470+5 3.650000-3 1.393671+5 3.900000-3 1.172165+5 4.246900-3 9.358036+4 4.677351-3 7.178783+4 5.821032-3 3.892670+4 7.079458-3 2.219653+4 7.852356-3 1.633627+4 9.120108-3 1.044906+4 1.096478-2 5.950599+3 1.258925-2 3.871279+3 1.450000-2 2.478856+3 1.698244-2 1.494141+3 2.018366-2 8.518733+2 2.400000-2 4.808320+2 2.851018-2 2.701750+2 3.427678-2 1.447054+2 4.168694-2 7.395692+1 5.188000-2 3.464873+1 6.683439-2 1.428542+1 1.244515-1 1.606840+0 1.513561-1 8.130931-1 1.798871-1 4.491183-1 2.065380-1 2.811638-1 2.344229-1 1.842776-1 2.630268-1 1.263419-1 2.951209-1 8.724855-2 3.273407-1 6.296237-2 3.630781-1 4.577424-2 3.981072-1 3.470779-2 4.365158-1 2.649255-2 4.786301-1 2.036744-2 5.248075-1 1.577384-2 5.688529-1 1.269421-2 6.237348-1 9.978096-3 6.839117-1 7.902647-3 7.498942-1 6.302588-3 8.222427-1 5.062647-3 9.015711-1 4.098171-3 9.885531-1 3.343272-3 1.071519+0 2.827442-3 1.161449+0 2.406491-3 1.258925+0 2.063266-3 1.396368+0 1.705353-3 1.659587+0 1.254772-3 1.862087+0 1.029880-3 2.065380+0 8.681467-4 2.371374+0 6.965538-4 2.722701+0 5.628883-4 3.090295+0 4.660514-4 3.589219+0 3.759085-4 4.216965+0 3.006741-4 4.954502+0 2.423164-4 5.888437+0 1.937705-4 7.079458+0 1.537986-4 8.609938+0 1.212302-4 1.109175+1 8.995706-5 1.380384+1 7.006541-5 1.678804+1 5.626724-5 2.238721+1 4.104512-5 3.162278+1 2.835198-5 4.731513+1 1.857099-5 7.852356+1 1.100625-5 1.364583+2 6.265604-6 2.722701+2 3.117496-6 1.083927+3 7.785797-7 1.000000+5 8.428400-9 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 3.535400-3 1.125000-4 1.000000+5 1.125000-4 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.535400-3 1.912700-4 1.000000+5 1.912700-4 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.535400-3 3.231630-3 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 7.553700-4 1.010269+5 8.100000-4 9.366985+4 8.128305-4 9.318349+4 8.280000-4 9.163360+4 9.332543-4 7.932800+4 1.050000-3 6.848860+4 1.090000-3 6.512000+4 1.318257-3 4.977491+4 1.428894-3 4.411133+4 1.717908-3 3.309744+4 1.927525-3 2.742402+4 2.238721-3 2.133418+4 2.630268-3 1.611957+4 3.000000-3 1.274666+4 3.507519-3 9.575450+3 4.168694-3 6.920431+3 4.954502-3 4.958640+3 5.888437-3 3.523566+3 7.000000-3 2.481760+3 8.222426-3 1.777255+3 9.549926-3 1.294057+3 1.122018-2 9.128342+2 1.318257-2 6.389865+2 1.548817-2 4.438759+2 1.819701-2 3.060309+2 2.137962-2 2.093601+2 2.511886-2 1.421320+2 2.951209-2 9.575259+1 3.467369-2 6.402291+1 4.073803-2 4.249425+1 4.841724-2 2.717503+1 5.754399-2 1.724600+1 6.918310-2 1.053281+1 8.413951-2 6.187895+0 1.011580-1 3.724594+0 1.348963-1 1.669108+0 2.371374-1 3.439480-1 2.851018-1 2.067435-1 3.349654-1 1.334184-1 3.845918-1 9.233856-2 4.365158-1 6.638959-2 4.897788-1 4.953687-2 5.495409-1 3.724630-2 6.095369-1 2.901749-2 6.760830-1 2.276853-2 7.498942-1 1.799439-2 8.413951-1 1.396873-2 9.225714-1 1.148440-2 1.011579+0 9.511231-3 1.161449+0 7.226818-3 1.303167+0 5.805829-3 1.479108+0 4.593175-3 1.640590+0 3.818030-3 1.840772+0 3.132472-3 2.065380+0 2.590419-3 2.371374+0 2.078359-3 2.722701+0 1.679544-3 3.090295+0 1.390619-3 3.589219+0 1.121646-3 4.216965+0 8.971548-4 4.954502+0 7.230222-4 5.888437+0 5.781775-4 7.079458+0 4.589012-4 8.609938+0 3.617373-4 1.109175+1 2.684146-4 1.380384+1 2.090670-4 1.678804+1 1.678917-4 2.264644+1 1.209485-4 3.235937+1 8.255864-5 4.897788+1 5.345643-5 8.222427+1 3.132558-5 1.462177+2 1.743200-5 2.917427+2 8.676833-6 1.161449+3 2.167909-6 1.000000+5 2.514900-8 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 7.553700-4 1.090500-4 1.000000+5 1.090500-4 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 7.553700-4 2.751700-7 1.000000+5 2.751700-7 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 7.553700-4 6.460448-4 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 6.477900-4 6.415380+4 6.479600-4 6.546700+4 6.484000-4 6.947280+4 6.489000-4 7.379860+4 6.493500-4 7.751480+4 6.500000-4 8.255940+4 6.506000-4 8.695880+4 6.511000-4 9.040620+4 6.519000-4 9.559340+4 6.527000-4 1.004068+5 6.534000-4 1.043026+5 6.542000-4 1.084116+5 6.553000-4 1.135396+5 6.563000-4 1.177208+5 6.575000-4 1.221786+5 6.590000-4 1.269590+5 6.605000-4 1.309564+5 6.620000-4 1.342564+5 6.640000-4 1.377218+5 6.663000-4 1.406242+5 6.685000-4 1.425376+5 6.710000-4 1.439530+5 6.740000-4 1.448636+5 6.780000-4 1.452210+5 6.850000-4 1.447036+5 7.079458-4 1.419326+5 7.328245-4 1.395904+5 7.500000-4 1.371838+5 8.500000-4 1.225360+5 9.015711-4 1.153230+5 9.549926-4 1.081030+5 9.700000-4 1.065410+5 9.772372-4 1.052171+5 1.035142-3 9.800956+4 1.135011-3 8.693052+4 1.202264-3 8.013760+4 1.318257-3 6.974401+4 1.445440-3 6.032710+4 1.566751-3 5.272017+4 1.757924-3 4.306807+4 1.905461-3 3.716989+4 2.113489-3 3.050656+4 2.350000-3 2.475360+4 2.600160-3 2.011855+4 2.900000-3 1.597924+4 3.235937-3 1.257549+4 3.589219-3 9.965302+3 4.073803-3 7.432212+3 4.570882-3 5.648293+3 5.128614-3 4.263003+3 5.821032-3 3.102982+3 6.606934-3 2.240208+3 7.413102-3 1.654533+3 8.317638-3 1.214264+3 9.440609-3 8.578895+2 1.071519-2 6.017555+2 1.216186-2 4.192111+2 1.380384-2 2.901451+2 1.600000-2 1.874570+2 1.862087-2 1.186567+2 2.137962-2 7.767384+1 2.511886-2 4.701863+1 2.951209-2 2.824947+1 3.507519-2 1.623522+1 4.216965-2 8.922906+0 5.248075-2 4.346530+0 6.839116-2 1.804077+0 1.216186-1 2.640307-1 1.531088-1 1.232292-1 1.798871-1 7.269270-2 2.113489-1 4.323944-2 2.426610-1 2.788105-2 2.786121-1 1.811323-2 3.162278-1 1.228712-2 3.548134-1 8.692518-3 3.981072-1 6.194303-3 4.415705-1 4.597366-3 4.897788-1 3.435786-3 5.432503-1 2.587111-3 6.025596-1 1.962759-3 6.683439-1 1.499965-3 7.413102-1 1.155310-3 8.511380-1 8.240773-4 9.120108-1 7.001228-4 9.660509-1 6.145752-4 1.023293+0 5.427252-4 1.109175+0 4.595387-4 1.188600+0 4.010389-4 1.303167+0 3.376087-4 1.462177+0 2.743299-4 1.698244+0 2.107217-4 1.905461+0 1.732008-4 2.137962+0 1.435052-4 2.454709+0 1.153526-4 2.818383+0 9.340191-5 3.198895+0 7.748330-5 3.715352+0 6.260788-5 4.365158+0 5.016050-5 5.128614+0 4.048678-5 6.165950+0 3.195403-5 7.498942+0 2.505072-5 9.120108+0 1.979049-5 1.148154+1 1.511245-5 1.462177+1 1.147629-5 1.949845+1 8.341326-6 2.660725+1 5.958233-6 3.845918+1 4.032185-6 6.025596+1 2.526867-6 1.083927+2 1.383972-6 2.162719+2 6.874837-7 8.609938+2 1.714463-7 5.432503+4 2.711799-9 1.000000+5 1.473600-9 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 6.477900-4 8.352800-5 1.000000+5 8.352800-5 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.477900-4 2.714200-7 1.000000+5 2.714200-7 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.477900-4 5.639906-4 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 6.126300-4 1.614344+5 6.128000-4 1.647872+5 6.133000-4 1.758860+5 6.138000-4 1.863404+5 6.143000-4 1.962788+5 6.147000-4 2.038060+5 6.152000-4 2.128204+5 6.158000-4 2.230460+5 6.165950-4 2.356057+5 6.175000-4 2.487276+5 6.183000-4 2.593612+5 6.190000-4 2.679664+5 6.200000-4 2.791952+5 6.210000-4 2.892732+5 6.220000-4 2.982868+5 6.234000-4 3.092920+5 6.245000-4 3.167324+5 6.260000-4 3.253528+5 6.275000-4 3.324128+5 6.290000-4 3.381116+5 6.309573-4 3.438104+5 6.330000-4 3.480308+5 6.362600-4 3.519950+5 6.400000-4 3.536572+5 6.456542-4 3.529196+5 7.000000-4 3.318226+5 7.244360-4 3.204960+5 8.128305-4 2.833324+5 8.709636-4 2.610446+5 9.332543-4 2.390730+5 1.011579-3 2.142362+5 1.096478-3 1.909887+5 1.174898-3 1.717758+5 1.318257-3 1.425230+5 1.428894-3 1.243435+5 1.548817-3 1.077150+5 1.737801-3 8.705070+4 1.905461-3 7.290313+4 2.150000-3 5.724560+4 2.371374-3 4.672481+4 2.660725-3 3.651626+4 2.951209-3 2.904634+4 3.311311-3 2.235624+4 3.715352-3 1.707198+4 4.168694-3 1.293934+4 4.677351-3 9.737359+3 5.308844-3 7.064628+3 6.025596-3 5.083146+3 6.800000-3 3.684428+3 7.585776-3 2.737034+3 8.511380-3 1.989190+3 9.660509-3 1.390127+3 1.083927-2 9.973174+2 1.230269-2 6.874591+2 1.400000-2 4.670520+2 1.603245-2 3.091613+2 1.840772-2 2.014933+2 2.113489-2 1.304173+2 2.454709-2 8.078709+1 2.851018-2 4.967393+1 3.349654-2 2.919614+1 3.981072-2 1.638991+1 4.786301-2 8.782711+0 5.888437-2 4.318860+0 7.585776-2 1.798755+0 1.303167-1 2.743827-1 1.603245-1 1.344325-1 1.883649-1 7.770130-2 2.187762-1 4.704398-2 2.483133-1 3.098413-2 2.786121-1 2.134363-2 3.090295-1 1.536255-2 3.427678-1 1.113644-2 3.801894-1 8.133146-3 4.168694-1 6.192499-3 4.570882-1 4.746777-3 5.011872-1 3.664210-3 5.495409-1 2.849620-3 6.025596-1 2.232833-3 6.606935-1 1.763398-3 7.244360-1 1.403468-3 7.943282-1 1.125650-3 8.609938-1 9.320790-4 9.225714-1 7.975748-4 9.885531-1 6.870471-4 1.083927+0 5.687198-4 1.188600+0 4.740799-4 1.303167+0 3.981400-4 1.445440+0 3.295657-4 1.678804+0 2.528069-4 1.883649+0 2.076716-4 2.113489+0 1.719832-4 2.426610+0 1.381615-4 2.786121+0 1.117803-4 3.162278+0 9.266104-5 3.672823+0 7.482693-5 4.315191+0 5.991725-5 5.069907+0 4.833735-5 6.025596+0 3.869131-5 7.244360+0 3.073662-5 8.810489+0 2.425060-5 1.135011+1 1.801016-5 1.445440+1 1.367369-5 1.883649+1 1.018873-5 2.570396+1 7.271395-6 3.672823+1 4.977202-6 5.688529+1 3.153900-6 1.011579+2 1.746277-6 2.018366+2 8.669278-7 4.027170+2 4.323500-7 1.603245+3 1.081943-7 1.000000+5 1.733000-9 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 6.126300-4 8.179000-5 1.000000+5 8.179000-5 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 6.126300-4 1.905900-7 1.000000+5 1.905900-7 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 6.126300-4 5.306494-4 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 4.200600-4 5.464939+4 4.245000-4 5.661480+4 4.250000-4 5.694880+4 4.258000-4 5.784080+4 4.265795-4 5.918356+4 4.273000-4 6.089160+4 4.280000-4 6.303120+4 4.287000-4 6.570400+4 4.292000-4 6.797720+4 4.297000-4 7.058240+4 4.303000-4 7.418640+4 4.309000-4 7.836080+4 4.315191-4 8.332391+4 4.323000-4 9.062960+4 4.330000-4 9.826840+4 4.337000-4 1.070528+5 4.348000-4 1.233996+5 4.361000-4 1.472228+5 4.395000-4 2.365852+5 4.407000-4 2.784080+5 4.418000-4 3.215084+5 4.430000-4 3.734892+5 4.440000-4 4.204520+5 4.451300-4 4.769750+5 4.461000-4 5.279280+5 4.469000-4 5.712520+5 4.480000-4 6.321560+5 4.490000-4 6.883640+5 4.500000-4 7.447560+5 4.508000-4 7.897200+5 4.519000-4 8.506600+5 4.530000-4 9.101840+5 4.540000-4 9.626680+5 4.550000-4 1.013324+6 4.560000-4 1.061932+6 4.570882-4 1.112315+6 4.585000-4 1.173640+6 4.600000-4 1.233528+6 4.615000-4 1.287928+6 4.630000-4 1.336876+6 4.645000-4 1.380484+6 4.665000-4 1.430500+6 4.685000-4 1.472024+6 4.708000-4 1.509880+6 4.731513-4 1.538425+6 4.750000-4 1.554712+6 4.780000-4 1.571116+6 4.815000-4 1.577128+6 4.850000-4 1.572700+6 4.900000-4 1.554716+6 4.980000-4 1.512020+6 5.198800-4 1.393379+6 5.500000-4 1.260588+6 6.382635-4 9.480892+5 6.700000-4 8.593920+5 7.300000-4 7.154000+5 7.800000-4 6.165240+5 8.317638-4 5.304743+5 9.120108-4 4.241218+5 9.772372-4 3.561054+5 1.083927-3 2.713258+5 1.190000-3 2.109680+5 1.318257-3 1.586991+5 1.479108-3 1.143843+5 1.659587-3 8.167411+4 1.850000-3 5.905360+4 2.089296-3 4.069960+4 2.317395-3 2.944352+4 2.630268-3 1.965632+4 2.985383-3 1.300252+4 3.311311-3 9.214661+3 3.758374-3 6.005100+3 4.300000-3 3.776376+3 4.897788-3 2.391378+3 5.559043-3 1.521332+3 6.309573-3 9.605092+2 7.161434-3 6.018749+2 8.222426-3 3.584541+2 9.332543-3 2.212762+2 1.059254-2 1.357180+2 1.216186-2 7.907626+1 1.412538-2 4.370937+1 1.640590-2 2.397803+1 1.927525-2 1.246066+1 2.264644-2 6.426414+0 2.722701-2 2.991638+0 3.349654-2 1.255724+0 4.570882-2 3.381724-1 7.413102-2 4.380331-2 9.225714-2 1.748235-2 1.122019-1 7.738022-3 1.303167-1 4.175981-3 1.500000-1 2.355271-3 1.717908-1 1.366820-3 1.949845-1 8.284923-4 2.187762-1 5.291030-4 2.454709-1 3.402537-4 2.754229-1 2.204508-4 3.054921-1 1.501830-4 3.388442-1 1.030080-4 3.758374-1 7.117536-5 4.216965-1 4.761415-5 4.623810-1 3.478018-5 5.011872-1 2.660605-5 5.432503-1 2.052428-5 5.956621-1 1.536957-5 6.606935-1 1.116320-5 7.244360-1 8.460193-6 8.609938-1 5.104616-6 9.120108-1 4.345768-6 9.549926-1 3.845468-6 1.000000+0 3.426476-6 1.047129+0 3.077215-6 1.096478+0 2.783917-6 1.148154+0 2.534723-6 1.216186+0 2.271554-6 1.318257+0 1.966006-6 1.479108+0 1.613871-6 1.819701+0 1.125592-6 2.000000+0 9.608494-7 2.317395+0 7.586474-7 2.660725+0 6.123270-7 3.054921+0 4.978622-7 3.548134+0 4.013272-7 4.168694+0 3.208223-7 4.897788+0 2.584148-7 5.821032+0 2.065413-7 7.000000+0 1.638100-7 8.511380+0 1.291093-7 1.100000+1 9.540400-8 1.380384+1 7.359608-8 1.678804+1 5.910264-8 2.264644+1 4.257878-8 3.198895+1 2.941965-8 4.841724+1 1.904430-8 8.222427+1 1.102745-8 1.462177+2 6.136547-9 2.917427+2 3.054534-9 1.161449+3 7.63175-10 1.000000+5 8.85320-12 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 4.200600-4 4.897400-5 1.000000+5 4.897400-5 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.200600-4 1.178000-7 1.000000+5 1.178000-7 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.200600-4 3.709682-4 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 4.128600-4 7.724702+4 4.160000-4 8.089530+4 4.169700-4 8.131066+4 4.175000-4 8.185320+4 4.183000-4 8.317800+4 4.190000-4 8.490000+4 4.197000-4 8.721660+4 4.202000-4 8.927880+4 4.208000-4 9.224640+4 4.215000-4 9.646620+4 4.222000-4 1.015962+5 4.229500-4 1.082322+5 4.237000-4 1.161924+5 4.243000-4 1.236222+5 4.249000-4 1.320948+5 4.257000-4 1.451688+5 4.265795-4 1.621409+5 4.275000-4 1.831482+5 4.285000-4 2.101434+5 4.327000-4 3.797832+5 4.340000-4 4.525836+5 4.350000-4 5.151216+5 4.360000-4 5.830092+5 4.370000-4 6.557820+5 4.381000-4 7.407300+5 4.392000-4 8.298360+5 4.403000-4 9.219960+5 4.411000-4 9.902700+5 4.422000-4 1.084956+6 4.433000-4 1.179588+6 4.445000-4 1.281570+6 4.454000-4 1.356534+6 4.465000-4 1.445748+6 4.477000-4 1.539378+6 4.490000-4 1.635804+6 4.502400-4 1.722462+6 4.518559-4 1.827122+6 4.535000-4 1.923708+6 4.550000-4 2.003094+6 4.565000-4 2.074236+6 4.585000-4 2.156670+6 4.607000-4 2.231688+6 4.630000-4 2.293866+6 4.650000-4 2.335554+6 4.677351-4 2.375976+6 4.700000-4 2.396868+6 4.731513-4 2.410199+6 4.765000-4 2.408682+6 4.800000-4 2.394534+6 4.850000-4 2.360436+6 5.150000-4 2.109432+6 5.432503-4 1.916730+6 6.350000-4 1.417014+6 6.700000-4 1.268484+6 7.244360-4 1.071141+6 7.673615-4 9.406607+5 8.222426-4 7.992386+5 9.000000-4 6.409920+5 9.700000-4 5.297604+5 1.071519-3 4.073650+5 1.174898-3 3.174669+5 1.300000-3 2.393094+5 1.428894-3 1.827833+5 1.603245-3 1.305622+5 1.778279-3 9.581144+4 2.000000-3 6.691740+4 2.220000-3 4.831224+4 2.500000-3 3.309510+4 2.818383-3 2.240101+4 3.126079-3 1.588685+4 3.507519-3 1.077594+4 4.027170-3 6.702317+3 4.623810-3 4.129163+3 5.308844-3 2.520722+3 6.095369-3 1.524347+3 6.918310-3 9.535472+2 7.852356-3 5.919597+2 8.912509-3 3.647814+2 1.000000-2 2.335170+2 1.135011-2 1.420937+2 1.288250-2 8.592356+1 1.500000-2 4.659270+1 1.737801-2 2.558011+1 2.018366-2 1.380017+1 2.371374-2 7.044314+0 2.851018-2 3.239835+0 3.507519-2 1.340956+0 4.623810-2 4.098983-1 7.673615-2 4.643409-2 9.440609-2 1.916868-2 1.135011-1 8.794684-3 1.318257-1 4.701949-3 1.584893-1 2.197608-3 1.737801-1 1.510431-3 1.883649-1 1.095162-3 2.089296-1 7.269432-4 2.290868-1 5.082800-4 2.511886-1 3.577696-4 2.754229-1 2.536131-4 3.019952-1 1.811231-4 3.273407-1 1.357696-4 3.548134-1 1.024132-4 3.845918-1 7.776391-5 4.120975-1 6.178137-5 4.466836-1 4.756661-5 4.841724-1 3.685702-5 5.308844-1 2.772799-5 5.754399-1 2.175272-5 6.382635-1 1.605002-5 6.839117-1 1.318829-5 7.328245-1 1.091319-5 7.762471-1 9.381054-6 8.317638-1 7.876297-6 8.810489-1 6.845427-6 9.332543-1 5.984767-6 9.885531-1 5.267404-6 1.071519+0 4.450485-6 1.161449+0 3.786222-6 1.258925+0 3.246749-6 1.396368+0 2.685270-6 1.678804+0 1.937854-6 1.883649+0 1.591579-6 2.113489+0 1.317631-6 2.426610+0 1.058383-6 2.786121+0 8.563776-7 3.162278+0 7.099626-7 3.672823+0 5.733236-7 4.315191+0 4.590870-7 5.069907+0 3.703612-7 6.025596+0 2.964534-7 7.328245+0 2.321928-7 8.912509+0 1.832767-7 1.148154+1 1.361785-7 1.479108+1 1.020734-7 1.995262+1 7.329371-8 2.691535+1 5.303196-8 3.890451+1 3.589732-8 6.095369+1 2.250062-8 1.096478+2 1.232559-8 2.187762+2 6.123339-9 8.709636+2 1.527140-9 5.495409+4 2.41563-11 1.000000+5 1.32780-11 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 4.128600-4 4.867800-5 1.000000+5 4.867800-5 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.128600-4 2.03480-10 1.000000+5 2.03480-10 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.128600-4 3.641818-4 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.133600-4 1.769340+5 1.659587-4 1.651593+5 1.737801-4 1.628409+5 1.820000-4 1.596128+5 1.927525-4 1.545423+5 2.065380-4 1.473963+5 2.264644-4 1.371215+5 2.500000-4 1.258966+5 2.730000-4 1.158112+5 2.951209-4 1.067933+5 3.235937-4 9.623551+4 3.630781-4 8.377953+4 4.073803-4 7.242959+4 4.518559-4 6.306373+4 5.128614-4 5.278948+4 5.888437-4 4.315905+4 6.700000-4 3.547300+4 7.852356-4 2.764688+4 9.120108-4 2.168773+4 1.083927-3 1.626561+4 1.318257-3 1.163742+4 1.621810-3 8.095991+3 2.018366-3 5.473626+3 2.454709-3 3.828959+3 2.985383-3 2.658589+3 3.548134-3 1.913619+3 4.216965-3 1.368061+3 5.069907-3 9.489587+2 6.095369-3 6.530841+2 7.328245-3 4.459316+2 8.709636-3 3.095282+2 1.035142-2 2.132579+2 1.216186-2 1.495232+2 1.428894-2 1.040854+2 1.678804-2 7.193477+1 1.972423-2 4.935419+1 2.317395-2 3.361206+1 2.722701-2 2.272253+1 3.198895-2 1.524886+1 3.758374-2 1.015954+1 4.466836-2 6.524392+0 5.248075-2 4.284392+0 6.309573-2 2.627418+0 7.673615-2 1.550194+0 9.120108-2 9.659321-1 1.161449-1 4.939375-1 2.317395-1 7.151512-2 2.786121-1 4.296437-2 3.273407-1 2.770106-2 3.758374-1 1.914919-2 4.265795-1 1.374980-2 4.786301-1 1.024562-2 5.370318-1 7.691788-3 6.000000-1 5.880700-3 6.683439-1 4.564133-3 7.413102-1 3.604188-3 8.317638-1 2.795503-3 9.120108-1 2.296348-3 1.000000+0 1.900000-3 1.148154+0 1.442843-3 1.258925+0 1.209421-3 1.428894+0 9.550302-4 1.584893+0 7.920454-4 1.778279+0 6.482828-4 1.972423+0 5.450447-4 2.264644+0 4.362881-4 2.600160+0 3.517203-4 3.000000+0 2.835300-4 3.467369+0 2.299205-4 4.027170+0 1.865142-4 4.731513+0 1.500010-4 5.623413+0 1.197108-4 6.760830+0 9.484056-5 8.222427+0 7.462499-5 1.035142+1 5.679632-5 1.300000+1 4.366700-5 1.640590+1 3.362081-5 2.200000+1 2.436400-5 3.090295+1 1.692145-5 4.623810+1 1.107906-5 7.585776+1 6.641768-6 1.318257+2 3.779435-6 2.630268+2 1.880067-6 1.047129+3 4.694413-7 1.000000+5 4.909100-9 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.133600-4 5.060400-5 1.000000+5 5.060400-5 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.133600-4 3.30260-10 1.000000+5 3.30260-10 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.133600-4 6.275567-5 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 7.822000-5 5.038060+5 7.890000-5 5.089140+5 7.985000-5 5.111040+5 8.080000-5 5.087740+5 8.150000-5 5.049720+5 8.270000-5 4.947880+5 8.400000-5 4.803420+5 8.511380-5 4.659966+5 8.650000-5 4.464620+5 8.810489-5 4.226802+5 9.015711-5 3.920183+5 9.300000-5 3.513980+5 1.011579-4 2.580982+5 1.047129-4 2.287902+5 1.080000-4 2.067900+5 1.110000-4 1.902644+5 1.143000-4 1.752938+5 1.174898-4 1.634291+5 1.205000-4 1.541454+5 1.240000-4 1.452510+5 1.273503-4 1.382949+5 1.315000-4 1.313686+5 1.350000-4 1.266956+5 1.396368-4 1.218049+5 1.445440-4 1.178879+5 1.500000-4 1.146748+5 1.566751-4 1.119203+5 1.650000-4 1.096874+5 1.760000-4 1.078778+5 2.089296-4 1.041982+5 2.290868-4 1.015877+5 2.483133-4 9.863129+4 2.660725-4 9.557101+4 2.851018-4 9.203237+4 3.090295-4 8.739064+4 3.350000-4 8.234240+4 3.630781-4 7.708340+4 3.935501-4 7.169573+4 4.265795-4 6.622708+4 4.677351-4 6.000581+4 5.150000-4 5.370300+4 5.688529-4 4.753835+4 6.237348-4 4.215032+4 6.918310-4 3.653793+4 7.762471-4 3.092274+4 8.609938-4 2.640421+4 9.660509-4 2.198898+4 1.071519-3 1.853398+4 1.216186-3 1.491660+4 1.364583-3 1.215924+4 1.548817-3 9.636333+3 1.737801-3 7.747725+3 1.949845-3 6.190064+3 2.200000-3 4.857440+3 2.454709-3 3.873712+3 2.786121-3 2.959403+3 3.126079-3 2.300234+3 3.507519-3 1.775157+3 3.935501-3 1.360562+3 4.415704-3 1.035709+3 5.011872-3 7.613857+2 5.688529-3 5.554279+2 6.456542-3 4.021129+2 7.328245-3 2.889698+2 8.317638-3 2.061737+2 9.440609-3 1.460493+2 1.071519-2 1.027194+2 1.216186-2 7.174942+1 1.396368-2 4.814431+1 1.603245-2 3.206214+1 1.840772-2 2.119928+1 2.137962-2 1.343853+1 2.483133-2 8.456671+0 2.917427-2 5.096635+0 3.467369-2 2.938833+0 4.168694-2 1.620749+0 5.069907-2 8.548119-1 6.531306-2 3.698981-1 1.258925-1 4.161154-2 1.566751-1 2.022214-2 1.862087-1 1.151617-2 2.187762-1 6.859638-3 2.511886-1 4.430866-3 2.851018-1 2.988205-3 3.235937-1 2.030115-3 3.630781-1 1.438648-3 4.073803-1 1.026979-3 4.518559-1 7.633684-4 5.011872-1 5.713572-4 5.559043-1 4.308570-4 6.165950-1 3.273609-4 6.839117-1 2.506494-4 7.498942-1 1.990225-4 8.609938-1 1.421117-4 9.225714-1 1.208658-4 9.772372-1 1.062120-4 1.047129+0 9.165874-5 1.122018+0 7.959039-5 1.202264+0 6.954807-5 1.333521+0 5.736710-5 1.531087+0 4.480573-5 1.737801+0 3.588404-5 1.927525+0 3.010857-5 2.187762+0 2.450861-5 2.511886+0 1.972249-5 2.884032+0 1.598590-5 3.311311+0 1.305814-5 3.845918+0 1.056968-5 4.518559+0 8.482049-6 5.308844+0 6.856538-6 6.382635+0 5.419396-6 7.762471+0 4.254542-6 9.440609+0 3.365582-6 1.174898+1 2.607104-6 1.513561+1 1.955304-6 2.041738+1 1.405152-6 2.754229+1 1.017174-6 4.027170+1 6.806036-7 6.382635+1 4.218156-7 1.135011+2 2.339497-7 2.264644+2 1.162581-7 9.015711+2 2.900010-8 5.688529+4 4.58790-10 1.000000+5 2.61040-10 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 7.822000-5 3.466500-5 1.000000+5 3.466500-5 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 7.822000-5 3.74460-10 1.000000+5 3.74460-10 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 7.822000-5 4.355463-5 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 7.219000-5 1.140672+6 7.290000-5 1.138304+6 7.360000-5 1.129996+6 7.450000-5 1.113416+6 7.550000-5 1.089120+6 7.673615-5 1.052898+6 7.800000-5 1.011792+6 7.950000-5 9.602240+5 8.150000-5 8.905920+5 8.413951-5 8.027670+5 9.015711-5 6.365488+5 9.332543-5 5.698241+5 9.549926-5 5.315347+5 9.800000-5 4.940320+5 1.010000-4 4.568880+5 1.040000-4 4.267520+5 1.071519-4 4.011220+5 1.100000-4 3.822044+5 1.135011-4 3.633160+5 1.170000-4 3.482308+5 1.205000-4 3.360972+5 1.244515-4 3.251646+5 1.295700-4 3.143082+5 1.350000-4 3.057716+5 1.412538-4 2.985938+5 1.500000-4 2.916028+5 1.883649-4 2.727880+5 2.041738-4 2.647096+5 2.220000-4 2.548464+5 2.400000-4 2.443612+5 2.600160-4 2.323525+5 2.818383-4 2.191292+5 3.054921-4 2.051263+5 3.311311-4 1.907169+5 3.630781-4 1.742663+5 3.935501-4 1.600626+5 4.315191-4 1.441551+5 4.731513-4 1.288744+5 5.300000-4 1.113168+5 5.821032-4 9.795443+4 6.456542-4 8.440655+4 7.300000-4 7.013080+4 8.128305-4 5.918277+4 9.015711-4 4.991778+4 1.011579-3 4.104651+4 1.135011-3 3.350458+4 1.288250-3 2.659903+4 1.462177-3 2.094954+4 1.640590-3 1.675421+4 1.850000-3 1.318076+4 2.080000-3 1.036336+4 2.344229-3 8.053714+3 2.630268-3 6.273969+3 2.951209-3 4.854053+3 3.311311-3 3.729516+3 3.715352-3 2.845894+3 4.168694-3 2.156782+3 4.731513-3 1.577601+3 5.370318-3 1.144943+3 6.095369-3 8.245291+2 6.918310-3 5.893092+2 7.852356-3 4.180467+2 8.912509-3 2.943757+2 1.011579-2 2.057860+2 1.148154-2 1.428122+2 1.303167-2 9.842050+1 1.496236-2 6.506940+1 1.717908-2 4.268937+1 1.972423-2 2.780126+1 2.290868-2 1.733173+1 2.660725-2 1.072059+1 3.090295-2 6.581456+0 3.630781-2 3.859384+0 4.315191-2 2.161686+0 5.248075-2 1.111706+0 6.606934-2 5.040841-1 1.333521-1 4.421994-2 1.640590-1 2.170398-2 1.927525-1 1.256617-2 2.213095-1 7.920849-3 2.511886-1 5.225182-3 2.818383-1 3.604762-3 3.126079-1 2.597747-3 3.467369-1 1.884919-3 3.845918-1 1.377889-3 4.216965-1 1.050022-3 4.623810-1 8.056331-4 5.069907-1 6.226076-4 5.559043-1 4.848852-4 6.095369-1 3.804696-4 6.683439-1 3.007891-4 7.328245-1 2.396070-4 8.128305-1 1.871303-4 8.810489-1 1.552163-4 9.440609-1 1.330950-4 1.011579+0 1.149433-4 1.109175+0 9.533234-5 1.216186+0 7.961865-5 1.333521+0 6.696650-5 1.479108+0 5.551792-5 1.698244+0 4.349807-5 1.905461+0 3.575921-5 2.137962+0 2.963056-5 2.454709+0 2.381605-5 2.818383+0 1.928104-5 3.198895+0 1.599333-5 3.715352+0 1.292250-5 4.365158+0 1.035344-5 5.128614+0 8.356959-6 6.165950+0 6.595606-6 7.498942+0 5.170784-6 9.120108+0 4.084977-6 1.161449+1 3.078297-6 1.500000+1 2.301400-6 2.018366+1 1.657962-6 2.722701+1 1.199899-6 3.981072+1 8.026614-7 6.309573+1 4.973729-7 1.122018+2 2.757996-7 2.238721+2 1.370441-7 8.912509+2 3.418304-8 5.623413+4 5.40761-10 1.000000+5 3.04160-10 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 7.219000-5 3.428400-5 1.000000+5 3.428400-5 1 48000 7 7 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 7.219000-5 2.61030-10 1.000000+5 2.61030-10 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 7.219000-5 3.790574-5 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.771000-5 3.200244+6 1.800000-5 3.161988+6 1.845000-5 3.126856+6 1.890000-5 3.116988+6 1.927525-5 3.126516+6 1.972423-5 3.156270+6 2.020000-5 3.208872+6 2.070000-5 3.285868+6 2.130000-5 3.404508+6 2.190000-5 3.549384+6 2.250000-5 3.718728+6 2.330000-5 3.979716+6 2.420000-5 4.318360+6 2.511886-5 4.709743+6 2.630268-5 5.277591+6 2.818383-5 6.313798+6 3.162278-5 8.556984+6 3.350000-5 9.903640+6 3.500000-5 1.099196+7 3.630781-5 1.191732+7 3.758374-5 1.276997+7 3.858700-5 1.338541+7 3.970000-5 1.399112+7 4.073803-5 1.446918+7 4.180000-5 1.486064+7 4.265795-5 1.509939+7 4.365158-5 1.528522+7 4.470000-5 1.537324+7 4.570882-5 1.535355+7 4.680000-5 1.522112+7 4.786301-5 1.498913+7 4.900000-5 1.464140+7 5.011872-5 1.421423+7 5.128614-5 1.369596+7 5.248075-5 1.310675+7 5.370318-5 1.245892+7 5.500000-5 1.173932+7 5.623413-5 1.104015+7 5.754399-5 1.029585+7 5.900000-5 9.479720+6 6.025596-5 8.794797+6 6.165950-5 8.058291+6 6.309573-5 7.342531+6 6.480700-5 6.545153+6 6.650000-5 5.818560+6 6.839116-5 5.080688+6 7.000000-5 4.512920+6 7.161434-5 3.996487+6 7.363000-5 3.422578+6 7.500000-5 3.074608+6 7.673615-5 2.678879+6 7.852356-5 2.319947+6 8.080000-5 1.926472+6 8.300000-5 1.605692+6 8.511380-5 1.345145+6 8.738900-5 1.109638+6 9.000000-5 8.880520+5 9.230000-5 7.290040+5 9.500000-5 5.779280+5 9.800000-5 4.468000+5 1.050000-4 2.496384+5 1.071519-4 2.112214+5 1.090000-4 1.843856+5 1.105000-4 1.662104+5 1.122018-4 1.490056+5 1.135011-4 1.380352+5 1.148154-4 1.286336+5 1.161449-4 1.206819+5 1.175000-4 1.140240+5 1.188502-4 1.086906+5 1.201000-4 1.047904+5 1.213000-4 1.018888+5 1.225000-4 9.973240+4 1.235000-4 9.845160+4 1.245000-4 9.759920+4 1.260000-4 9.704480+4 1.275000-4 9.726280+4 1.290000-4 9.815400+4 1.307000-4 9.986760+4 1.322000-4 1.019120+5 1.340000-4 1.049232+5 1.365000-4 1.099260+5 1.400000-4 1.181192+5 1.500000-4 1.452116+5 1.548817-4 1.587906+5 1.584893-4 1.685335+5 1.621810-4 1.780937+5 1.670000-4 1.897840+5 1.720000-4 2.008784+5 1.778279-4 2.124393+5 1.840772-4 2.231794+5 1.905461-4 2.325174+5 1.972423-4 2.404275+5 2.041738-4 2.469505+5 2.120000-4 2.524460+5 2.190000-4 2.558128+5 2.264644-4 2.580289+5 2.350000-4 2.590956+5 2.454709-4 2.584807+5 2.570396-4 2.558202+5 2.691535-4 2.514349+5 2.818383-4 2.454245+5 2.985383-4 2.362289+5 3.150000-4 2.262448+5 3.350000-4 2.136700+5 3.550000-4 2.009276+5 3.780000-4 1.866244+5 4.027170-4 1.718228+5 4.284700-4 1.574287+5 4.623810-4 1.402469+5 5.011872-4 1.229969+5 5.370318-4 1.091002+5 5.821032-4 9.411831+4 6.309573-4 8.055786+4 6.839116-4 6.844544+4 7.413102-4 5.775538+4 8.128305-4 4.720404+4 8.912509-4 3.829594+4 9.772372-4 3.084127+4 1.083927-3 2.398323+4 1.202264-3 1.849944+4 1.333521-3 1.415700+4 1.479108-3 1.075420+4 1.640590-3 8.108862+3 1.819701-3 6.069286+3 2.018366-3 4.509772+3 2.238721-3 3.327059+3 2.483133-3 2.437170+3 2.754229-3 1.772838+3 3.054921-3 1.280630+3 3.388442-3 9.186171+2 3.801894-3 6.302693+2 4.265795-3 4.291744+2 4.786301-3 2.901190+2 5.370318-3 1.947302+2 6.025596-3 1.298069+2 6.760830-3 8.597016+1 7.585776-3 5.655245+1 8.413951-3 3.855280+1 9.549926-3 2.395403+1 1.096478-2 1.414162+1 1.258925-2 8.285546+0 1.445440-2 4.818792+0 1.659587-2 2.782723+0 1.927525-2 1.523833+0 2.264644-2 7.903471-1 2.691535-2 3.880944-1 3.273407-2 1.719651-1 4.216965-2 5.944297-2 7.498942-2 5.259835-3 9.440609-2 2.006957-3 1.148154-1 8.911437-4 1.348963-1 4.600146-4 1.548817-1 2.627911-4 1.757924-1 1.583380-4 2.000000-1 9.519800-5 2.238721-1 6.144351-5 2.511886-1 3.957377-5 2.786121-1 2.681091-5 3.090295-1 1.828600-5 3.427678-1 1.256057-5 3.801894-1 8.692790-6 4.216965-1 6.062456-6 4.623810-1 4.431868-6 5.011872-1 3.390023-6 5.495409-1 2.516012-6 6.025596-1 1.881265-6 6.606935-1 1.415219-6 7.244360-1 1.072503-6 8.609938-1 6.468992-7 9.015711-1 5.682853-7 9.440609-1 5.021508-7 9.885531-1 4.468546-7 1.035142+0 4.008624-7 1.083927+0 3.620936-7 1.135011+0 3.290837-7 1.202264+0 2.942758-7 1.303167+0 2.543062-7 1.531087+0 1.928259-7 1.798871+0 1.455971-7 1.995262+0 1.223345-7 2.290868+0 9.797942-8 2.630268+0 7.903391-8 3.019952+0 6.421618-8 3.507519+0 5.173312-8 4.073803+0 4.198932-8 4.786301+0 3.378610-8 5.688529+0 2.697663-8 6.839116+0 2.138252-8 8.317638+0 1.683227-8 1.059254+1 1.264380-8 1.333521+1 9.703965-9 1.640590+1 7.689460-9 2.200000+1 5.572200-9 3.090295+1 3.870234-9 4.623810+1 2.533852-9 7.585776+1 1.519025-9 1.333521+2 8.54382-10 2.660725+2 4.25029-10 1.059254+3 1.06132-10 1.000000+5 1.12280-12 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.771000-5 1.771000-5 1.000000+5 1.771000-5 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.771000-5 0.0 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.697000-5 4.910544+6 1.730000-5 4.858224+6 1.770000-5 4.828026+6 1.810000-5 4.828020+6 1.850000-5 4.855176+6 1.890000-5 4.907358+6 1.945000-5 5.016408+6 2.000000-5 5.165052+6 2.055000-5 5.349318+6 2.113489-5 5.581420+6 2.187762-5 5.925861+6 2.270000-5 6.366420+6 2.371374-5 6.987703+6 2.483133-5 7.764949+6 2.650000-5 9.089580+6 3.090295-5 1.334816+7 3.273407-5 1.532155+7 3.427678-5 1.698999+7 3.548134-5 1.825189+7 3.672823-5 1.948013+7 3.770000-5 2.035722+7 3.890451-5 2.131612+7 4.000000-5 2.203890+7 4.110000-5 2.260044+7 4.220000-5 2.298348+7 4.330000-5 2.318184+7 4.415704-5 2.320866+7 4.518559-5 2.309757+7 4.623810-5 2.283066+7 4.731513-5 2.241028+7 4.841724-5 2.184363+7 4.954502-5 2.114258+7 5.080000-5 2.024952+7 5.190000-5 1.939278+7 5.308844-5 1.841181+7 5.432503-5 1.735421+7 5.559043-5 1.625617+7 5.688529-5 1.513671+7 5.821032-5 1.401272+7 5.956621-5 1.289863+7 6.095369-5 1.180667+7 6.237348-5 1.074719+7 6.400000-5 9.611880+6 6.580000-5 8.457960+6 6.760830-5 7.408147+6 6.950000-5 6.424620+6 7.150000-5 5.505600+6 7.350000-5 4.701462+6 7.500000-5 4.167582+6 7.673615-5 3.617412+6 7.852356-5 3.120245+6 8.035261-5 2.676968+6 8.230000-5 2.269728+6 8.450000-5 1.879848+6 8.650000-5 1.581264+6 8.900000-5 1.271514+6 9.150000-5 1.020948+6 9.440609-5 7.905154+5 9.800000-5 5.772384+5 1.035142-4 3.625136+5 1.060000-4 2.982060+5 1.075000-4 2.668920+5 1.090000-4 2.404272+5 1.105000-4 2.182512+5 1.120000-4 1.998648+5 1.131300-4 1.882466+5 1.143000-4 1.780356+5 1.155000-4 1.693062+5 1.165000-4 1.632576+5 1.175000-4 1.582278+5 1.185000-4 1.541334+5 1.198000-4 1.500816+5 1.209000-4 1.476708+5 1.220000-4 1.461012+5 1.230269-4 1.453257+5 1.245000-4 1.452558+5 1.260000-4 1.462998+5 1.275000-4 1.483206+5 1.290000-4 1.511838+5 1.307000-4 1.552968+5 1.330000-4 1.620720+5 1.350000-4 1.688682+5 1.400000-4 1.883754+5 1.462177-4 2.151484+5 1.500000-4 2.316726+5 1.548817-4 2.524641+5 1.584893-4 2.671683+5 1.621810-4 2.814567+5 1.670000-4 2.987580+5 1.720000-4 3.149448+5 1.778279-4 3.315505+5 1.840772-4 3.468133+5 1.905461-4 3.599456+5 1.972423-4 3.708040+5 2.041738-4 3.794793+5 2.120000-4 3.866004+5 2.190000-4 3.907194+5 2.264644-4 3.929936+5 2.371374-4 3.932790+5 2.480000-4 3.905124+5 2.600160-4 3.844822+5 2.730000-4 3.757116+5 2.851018-4 3.657829+5 3.019952-4 3.504753+5 3.162278-4 3.367471+5 3.350000-4 3.182844+5 3.550000-4 2.986368+5 3.780000-4 2.767200+5 4.027170-4 2.541874+5 4.284700-4 2.324431+5 4.623810-4 2.065847+5 5.011872-4 1.807440+5 5.370318-4 1.600649+5 5.754399-4 1.408243+5 6.237348-4 1.203971+5 6.760830-4 1.021952+5 7.328245-4 8.615084+4 8.035261-4 7.033037+4 8.810489-4 5.699374+4 9.660509-4 4.584542+4 1.071519-3 3.559843+4 1.188502-3 2.742263+4 1.318257-3 2.095754+4 1.462177-3 1.589793+4 1.621810-3 1.197077+4 1.798871-3 8.947150+3 2.000000-3 6.592693+3 2.213095-3 4.889974+3 2.454709-3 3.576358+3 2.722701-3 2.597211+3 3.019952-3 1.872982+3 3.349654-3 1.341113+3 3.758374-3 9.182152+2 4.216965-3 6.238586+2 4.731513-3 4.207418+2 5.308844-3 2.817432+2 5.956621-3 1.872863+2 6.606934-3 1.286740+2 7.413102-3 8.419385+1 8.709636-3 4.606972+1 9.885531-3 2.848371+1 1.122018-2 1.747358+1 1.273503-2 1.064284+1 1.462177-2 6.149975+0 1.678804-2 3.528053+0 1.949845-2 1.917569+0 2.264644-2 1.034296+0 2.691535-2 5.032177-1 3.235937-2 2.314755-1 4.073803-2 8.690694-2 6.382635-2 1.269861-2 8.413951-2 3.896538-3 1.035142-1 1.618066-3 1.216186-1 8.220395-4 1.396368-1 4.632848-4 1.584893-1 2.758112-4 1.778279-1 1.733148-4 1.995262-1 1.097291-4 2.213095-1 7.323248-5 2.454709-1 4.924836-5 2.691535-1 3.485658-5 2.951209-1 2.484965-5 3.235937-1 1.785114-5 3.507519-1 1.345207-5 3.801894-1 1.020048-5 4.168694-1 7.491720-6 4.518559-1 5.759058-6 4.897788-1 4.460059-6 5.248075-1 3.607003-6 5.688529-1 2.836633-6 6.237348-1 2.174020-6 6.760830-1 1.734636-6 7.328245-1 1.393801-6 7.943282-1 1.127990-6 8.609938-1 9.161066-7 9.120108-1 7.945245-7 9.660509-1 6.937389-7 1.022000+0 6.121900-7 1.096478+0 5.278885-7 1.161449+0 4.704256-7 1.244515+0 4.128466-7 1.396368+0 3.350447-7 1.698244+0 2.373245-7 1.905461+0 1.950161-7 2.137962+0 1.615559-7 2.454709+0 1.298482-7 2.818383+0 1.051283-7 3.198895+0 8.720645-8 3.715352+0 7.046395-8 4.365158+0 5.645504-8 5.128614+0 4.556778-8 6.165950+0 3.596404-8 7.498942+0 2.819477-8 9.120108+0 2.227410-8 1.161449+1 1.678474-8 1.500000+1 1.254900-8 2.018366+1 9.040195-9 2.754229+1 6.462631-9 4.027170+1 4.324208-9 6.382635+1 2.679967-9 1.135011+2 1.486397-9 2.264644+2 7.38626-10 9.015711+2 1.84254-10 5.688529+4 2.91486-12 1.000000+5 1.65850-12 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.697000-5 1.697000-5 1.000000+5 1.697000-5 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.697000-5 0.0 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 8.220000-6 3.459355+6 8.810489-6 2.386936+6 9.225714-6 1.853191+6 9.660509-6 1.427414+6 1.000000-5 1.167162+6 1.035142-5 9.490021+5 1.071519-5 7.670901+5 1.110000-5 6.130120+5 1.150000-5 4.856580+5 1.188502-5 3.879614+5 1.216186-5 3.299142+5 1.250000-5 2.703860+5 1.280000-5 2.263520+5 1.310000-5 1.892220+5 1.340000-5 1.579196+5 1.372000-5 1.299482+5 1.400000-5 1.093612+5 1.430000-5 9.072160+4 1.462177-5 7.407104+4 1.496236-5 5.962123+4 1.531087-5 4.766168+4 1.570000-5 3.710440+4 1.640590-5 2.382225+4 1.670000-5 2.003800+4 1.693000-5 1.765385+4 1.715000-5 1.578754+4 1.731000-5 1.465849+4 1.745000-5 1.381434+4 1.760000-5 1.304726+4 1.774000-5 1.245006+4 1.785000-5 1.205564+4 1.800000-5 1.161652+4 1.815000-5 1.128314+4 1.830000-5 1.104714+4 1.845000-5 1.090072+4 1.860000-5 1.083674+4 1.870000-5 1.083652+4 1.885000-5 1.089524+4 1.900000-5 1.101956+4 1.915000-5 1.120400+4 1.935000-5 1.153468+4 1.957000-5 1.199820+4 1.980000-5 1.258058+4 2.000000-5 1.315776+4 2.041738-5 1.453851+4 2.150000-5 1.887138+4 2.210000-5 2.153200+4 2.264644-5 2.401809+4 2.317395-5 2.642857+4 2.371374-5 2.887188+4 2.426610-5 3.131951+4 2.485000-5 3.383020+4 2.540973-5 3.614664+4 2.610000-5 3.886700+4 2.670000-5 4.110160+4 2.730000-5 4.321220+4 2.800000-5 4.551760+4 2.884032-5 4.806626+4 2.985383-5 5.083470+4 3.090295-5 5.336903+4 3.198895-5 5.566327+4 3.311311-5 5.771721+4 3.450000-5 5.985000+4 3.590900-5 6.161955+4 3.758374-5 6.327329+4 3.950000-5 6.465300+4 4.168694-5 6.567430+4 4.415704-5 6.626549+4 4.677351-5 6.638449+4 4.954502-5 6.607272+4 5.300000-5 6.522400+4 5.650000-5 6.398320+4 6.025596-5 6.234562+4 6.456542-5 6.021978+4 6.918310-5 5.777259+4 7.413102-5 5.507331+4 8.000000-5 5.186600+4 8.609938-5 4.862101+4 9.332543-5 4.498592+4 1.023293-4 4.085437+4 1.135011-4 3.635164+4 1.288250-4 3.124333+4 1.500000-4 2.580220+4 1.757924-4 2.097835+4 2.786121-4 1.131083+4 3.126079-4 9.656793+3 3.589219-4 7.926825+3 4.073803-4 6.569184+3 5.011872-4 4.769663+3 5.956621-4 3.630845+3 7.079458-4 2.742459+3 8.413951-4 2.056000+3 1.011579-3 1.500208+3 1.230269-3 1.064972+3 1.531087-3 7.201567+2 1.905461-3 4.840329+2 2.344229-3 3.297769+2 3.000000-3 2.068840+2 3.162278-3 1.854550+2 3.311311-3 1.694150+2 3.467369-3 1.556764+2 3.589219-3 1.468192+2 3.801894-3 1.340337+2 4.027170-3 1.214005+2 4.265795-3 1.092652+2 4.570882-3 9.559749+1 4.954502-3 8.112071+1 5.432503-3 6.668138+1 6.025596-3 5.315797+1 7.244360-3 3.629069+1 8.609938-3 2.518731+1 1.023293-2 1.735111+1 1.216186-2 1.185996+1 1.428894-2 8.255116+0 1.678804-2 5.704566+0 1.972423-2 3.913437+0 2.317395-2 2.664932+0 2.722701-2 1.801477+0 3.198895-2 1.208778+0 3.758374-2 8.051016-1 4.466836-2 5.168784-1 5.248075-2 3.393653-1 6.309573-2 2.081210-1 7.673615-2 1.228066-1 9.120108-2 7.652670-2 1.161449-1 3.913541-2 2.317395-1 5.667496-3 2.786121-1 3.405171-3 3.273407-1 2.195754-3 3.758374-1 1.518119-3 4.265795-1 1.090247-3 4.786301-1 8.125479-4 5.308844-1 6.276693-4 5.888437-1 4.880524-4 6.531306-1 3.821859-4 7.244360-1 3.014693-4 8.035261-1 2.395740-4 8.810489-1 1.965062-4 9.660509-1 1.622584-4 1.122018+0 1.202509-4 1.216186+0 1.028462-4 1.396368+0 7.935426-5 1.548817+0 6.570560-5 1.737801+0 5.369637-5 1.927525+0 4.508018-5 2.187762+0 3.670157-5 2.511886+0 2.953477-5 2.884032+0 2.393874-5 3.311311+0 1.955409-5 3.845918+0 1.582759-5 4.518559+0 1.270186-5 5.370318+0 1.011553-5 6.456542+0 7.998918-6 7.852356+0 6.282522-6 9.549926+0 4.971951-6 1.188502+1 3.852815-6 1.548817+1 2.853832-6 2.089296+1 2.051983-6 2.851018+1 1.468028-6 4.168694+1 9.829478-7 6.683439+1 6.023902-7 1.188502+2 3.343124-7 2.371374+2 1.661872-7 9.440609+2 4.146835-8 5.956621+4 6.56139-10 1.000000+5 3.90900-10 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 8.220000-6 8.220000-6 1.000000+5 8.220000-6 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 8.220000-6 0.0 1.000000+5 1.000000+5 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.411050-7 1.028100+0 1.043520-6 1.028750+0 1.411050-6 1.029500+0 1.931060-6 1.030100+0 2.428540-6 1.031000+0 3.323070-6 1.032000+0 4.546800-6 1.033200+0 6.369290-6 1.034000+0 7.818890-6 1.035300+0 1.061300-5 1.036640+0 1.411050-5 1.038200+0 1.904260-5 1.039700+0 2.474010-5 1.041500+0 3.291640-5 1.043800+0 4.568910-5 1.046400+0 6.356770-5 1.048300+0 7.914350-5 1.051200+0 1.073570-4 1.054080+0 1.411050-4 1.057700+0 1.923360-4 1.061100+0 2.501810-4 1.065100+0 3.312140-4 1.070400+0 4.620810-4 1.076200+0 6.385970-4 1.080600+0 7.975040-4 1.087100+0 1.074490-3 1.093710+0 1.411050-3 1.102600+0 1.956310-3 1.110700+0 2.551270-3 1.120600+0 3.412560-3 1.133300+0 4.744500-3 1.147500+0 6.550300-3 1.158200+0 8.140320-3 1.174100+0 1.088080-2 1.190110+0 1.411050-2 1.205100+0 1.757050-2 1.227500+0 2.352320-2 1.250000+0 3.038000-2 1.265600+0 3.558700-2 1.294900+0 4.624990-2 1.331800+0 6.106140-2 1.362600+0 7.437830-2 1.397000+0 9.009300-2 1.455800+0 1.187320-1 1.500000+0 1.418000-1 1.589800+0 1.933530-1 1.665000+0 2.412000-1 1.784700+0 3.248760-1 1.892300+0 4.058160-1 2.000000+0 4.894000-1 2.044000+0 5.236000-1 2.163500+0 6.171020-1 2.372600+0 7.818050-1 2.647100+0 9.960160-1 3.000000+0 1.263000+0 3.437500+0 1.576480+0 4.000000+0 1.952000+0 4.750000+0 2.408630+0 5.000000+0 2.550000+0 6.000000+0 3.066000+0 7.000000+0 3.526000+0 8.000000+0 3.941000+0 9.000000+0 4.317000+0 1.000000+1 4.662000+0 1.100000+1 4.979000+0 1.200000+1 5.272000+0 1.300000+1 5.543000+0 1.400000+1 5.792000+0 1.500000+1 6.023000+0 1.600000+1 6.238000+0 1.800000+1 6.632000+0 2.000000+1 6.985000+0 2.200000+1 7.305000+0 2.400000+1 7.596000+0 2.600000+1 7.861000+0 2.800000+1 8.103000+0 3.000000+1 8.327000+0 4.000000+1 9.236000+0 5.000000+1 9.909000+0 6.000000+1 1.043000+1 8.000000+1 1.121000+1 1.000000+2 1.176000+1 1.500000+2 1.263000+1 2.000000+2 1.316000+1 3.000000+2 1.376000+1 4.000000+2 1.411000+1 5.000000+2 1.434000+1 6.000000+2 1.451000+1 8.000000+2 1.473000+1 1.000000+3 1.487000+1 1.500000+3 1.507000+1 2.000000+3 1.519000+1 3.000000+3 1.531000+1 4.000000+3 1.537000+1 5.000000+3 1.541000+1 6.000000+3 1.544000+1 8.000000+3 1.548000+1 1.000000+4 1.550000+1 1.500000+4 1.553000+1 2.000000+4 1.555000+1 3.000000+4 1.557000+1 4.000000+4 1.558000+1 5.000000+4 1.558000+1 6.000000+4 1.559000+1 8.000000+4 1.559000+1 1.000000+5 1.560000+1 1 48000 7 8 1.124000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 4.815830-7 2.099900+0 1.127930-6 2.106600+0 1.569050-6 2.114000+0 2.170980-6 2.119500+0 2.702850-6 2.127900+0 3.665580-6 2.136250+0 4.815830-6 2.147000+0 6.602840-6 2.156900+0 8.576300-6 2.169000+0 1.144560-5 2.184500+0 1.590980-5 2.201800+0 2.201160-5 2.214800+0 2.742480-5 2.234200+0 3.689120-5 2.253680+0 4.815830-5 2.281500+0 6.745420-5 2.307000+0 8.860090-5 2.338200+0 1.191320-4 2.377400+0 1.649830-4 2.410200+0 2.098310-4 2.446800+0 2.669170-4 2.485900+0 3.360620-4 2.532900+0 4.300880-4 2.556430+0 4.815830-4 2.611900+0 6.140720-4 2.660400+0 7.423800-4 2.745300+0 9.936270-4 2.809000+0 1.203340-3 2.904500+0 1.550210-3 3.000000+0 1.935000-3 3.125000+0 2.495100-3 3.234400+0 3.035960-3 3.425800+0 4.088230-3 3.569300+0 4.957240-3 3.784700+0 6.372180-3 4.000000+0 7.893000-3 4.250000+0 9.751900-3 4.625000+0 1.267290-2 5.000000+0 1.571000-2 5.500000+0 1.988120-2 6.000000+0 2.411000-2 6.750000+0 3.040130-2 7.000000+0 3.247000-2 8.000000+0 4.056000-2 9.000000+0 4.831000-2 1.000000+1 5.566000-2 1.100000+1 6.262000-2 1.200000+1 6.918000-2 1.300000+1 7.537000-2 1.400000+1 8.125000-2 1.500000+1 8.681000-2 1.600000+1 9.210000-2 1.800000+1 1.019000-1 2.000000+1 1.108000-1 2.200000+1 1.190000-1 2.400000+1 1.264000-1 2.600000+1 1.334000-1 2.800000+1 1.398000-1 3.000000+1 1.457000-1 4.000000+1 1.704000-1 5.000000+1 1.892000-1 6.000000+1 2.040000-1 8.000000+1 2.264000-1 1.000000+2 2.427000-1 1.500000+2 2.696000-1 2.000000+2 2.865000-1 3.000000+2 3.071000-1 4.000000+2 3.194000-1 5.000000+2 3.279000-1 6.000000+2 3.341000-1 8.000000+2 3.426000-1 1.000000+3 3.482000-1 1.500000+3 3.567000-1 2.000000+3 3.615000-1 3.000000+3 3.667000-1 4.000000+3 3.697000-1 5.000000+3 3.716000-1 6.000000+3 3.729000-1 8.000000+3 3.747000-1 1.000000+4 3.758000-1 1.500000+4 3.773000-1 2.000000+4 3.782000-1 3.000000+4 3.790000-1 4.000000+4 3.796000-1 5.000000+4 3.799000-1 6.000000+4 3.801000-1 8.000000+4 3.803000-1 1.000000+5 3.805000-1 1 48000 7 8 1.124000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 48000 7 9 1.124000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 4.800000+1 1.000000+5 4.800000+1 5.000000+5 4.798600+1 8.750000+5 4.796180+1 1.000000+6 4.795600+1 1.500000+6 4.791000+1 2.000000+6 4.784100+1 2.500000+6 4.775300+1 3.000000+6 4.764700+1 3.500000+6 4.752300+1 4.000000+6 4.738300+1 4.500000+6 4.722880+1 5.000000+6 4.705900+1 5.687500+6 4.679620+1 6.156200+6 4.660520+1 6.500000+6 4.645950+1 6.718700+6 4.636330+1 7.000000+6 4.623900+1 7.500000+6 4.600730+1 8.250000+6 4.564040+1 8.500000+6 4.551720+1 9.000000+6 4.526300+1 9.750000+6 4.486500+1 1.000000+7 4.473300+1 1.109400+7 4.412760+1 1.187500+7 4.368660+1 1.250000+7 4.332900+1 1.437500+7 4.222770+1 1.500000+7 4.185900+1 1.750000+7 4.037600+1 2.000000+7 3.889000+1 2.250000+7 3.741420+1 2.375000+7 3.668290+1 2.500000+7 3.596400+1 2.750000+7 3.455050+1 2.875000+7 3.385840+1 3.000000+7 3.318400+1 3.250000+7 3.187090+1 3.500000+7 3.062440+1 3.625000+7 3.002730+1 4.000000+7 2.834300+1 4.750000+7 2.544640+1 5.000000+7 2.461900+1 5.750000+7 2.248860+1 6.000000+7 2.188300+1 6.750000+7 2.031480+1 7.000000+7 1.985700+1 7.750000+7 1.862400+1 8.000000+7 1.824900+1 8.750000+7 1.718310+1 9.000000+7 1.684500+1 9.750000+7 1.585440+1 1.000000+8 1.553300+1 1.062500+8 1.474000+1 1.144500+8 1.373080+1 1.187500+8 1.321530+1 1.214800+8 1.289240+1 1.250000+8 1.248400+1 1.312500+8 1.177590+1 1.406300+8 1.078070+1 1.500000+8 9.883000+0 1.750000+8 7.976710+0 1.812500+8 7.603660+0 1.937500+8 6.963780+0 2.000000+8 6.690700+0 2.125000+8 6.227250+0 2.218800+8 5.939460+0 2.359400+8 5.584020+0 2.375000+8 5.549900+0 2.500000+8 5.303100+0 2.812500+8 4.827790+0 2.937500+8 4.644620+0 3.000000+8 4.548600+0 3.125000+8 4.345210+0 3.500000+8 3.794100+0 3.812500+8 3.451040+0 3.937500+8 3.315310+0 4.000000+8 3.244200+0 4.125000+8 3.094180+0 4.234400+8 2.958990+0 4.425800+8 2.723820+0 4.750000+8 2.371340+0 5.000000+8 2.144500+0 5.250000+8 1.962850+0 5.578100+8 1.772700+0 6.000000+8 1.580300+0 6.343800+8 1.453540+0 6.578100+8 1.382290+0 6.789100+8 1.329060+0 7.000000+8 1.285900+0 7.250000+8 1.246680+0 8.000000+8 1.158000+0 8.359400+8 1.112410+0 8.660200+8 1.072110+0 9.138700+8 1.007710+0 1.000000+9 9.021000-1 1.171900+9 7.426960-1 1.253900+9 6.803060-1 1.315400+9 6.366720-1 1.375000+9 5.962300-1 1.381300+9 5.920860-1 1.440700+9 5.535300-1 1.500000+9 5.165200-1 1.562500+9 4.789660-1 1.641100+9 4.345280-1 1.706900+9 4.000190-1 1.811600+9 3.503850-1 1.905800+9 3.112230-1 2.000000+9 2.768700-1 2.139200+9 2.338680-1 2.272600+9 1.999000-1 2.443000+9 1.647050-1 2.602800+9 1.382870-1 2.825100+9 1.095730-1 3.088500+9 8.440670-2 3.327400+9 6.748390-2 3.634100+9 5.147710-2 3.975600+9 3.883540-2 4.423800+9 2.759380-2 5.000000+9 1.851800-2 5.750000+9 1.166180-2 6.875000+9 6.409940-3 8.000000+9 3.846400-3 1.00000+10 1.815000-3 1.20500+10 9.751100-4 1.41820+10 5.697320-4 1.71110+10 3.085520-4 2.01380+10 1.821180-4 2.41190+10 1.020940-4 2.88610+10 5.767380-5 3.54590+10 3.012620-5 4.35270+10 1.586690-5 5.38800+10 8.183390-6 7.03510+10 3.600670-6 9.01170+10 1.690110-6 1.00000+11 1.231600-6 1.34280+11 5.046840-7 1.77440+11 2.182550-7 2.63330+11 6.712830-8 3.75720+11 2.340050-8 6.61190+11 4.441200-9 1.48990+12 4.18100-10 4.26460+12 2.03419-11 1.00000+14 2.60740-15 5.62340+14 1.89059-17 7.49890+15 1.10616-20 1.00000+17 6.25520-24 1 48000 7 0 1.124000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 5.90000-12 1.000000+2 5.90000-10 1.000000+3 5.900000-8 1.000000+4 5.900000-6 1.000000+5 5.900000-4 5.000000+5 1.475000-2 8.750000+5 4.517188-2 1.000000+6 5.900000-2 1.500000+6 1.321000-1 2.000000+6 2.324000-1 2.500000+6 3.582000-1 3.000000+6 5.075000-1 3.500000+6 6.778380-1 4.000000+6 8.665000-1 4.500000+6 1.070760+0 5.000000+6 1.288000+0 5.687500+6 1.603160+0 6.156200+6 1.826190+0 6.500000+6 1.992400+0 6.718700+6 2.099090+0 7.000000+6 2.237300+0 7.500000+6 2.483520+0 8.250000+6 2.853260+0 8.500000+6 2.975940+0 9.000000+6 3.220100+0 9.750000+6 3.581090+0 1.000000+7 3.700000+0 1.109400+7 4.209760+0 1.187500+7 4.564620+0 1.250000+7 4.843300+0 1.437500+7 5.656120+0 1.500000+7 5.921000+0 1.750000+7 6.960700+0 2.000000+7 7.980000+0 2.250000+7 8.980370+0 2.375000+7 9.471110+0 2.500000+7 9.955600+0 2.750000+7 1.089920+1 2.875000+7 1.135960+1 3.000000+7 1.181200+1 3.250000+7 1.269170+1 3.500000+7 1.354390+1 3.625000+7 1.396270+1 4.000000+7 1.518500+1 4.750000+7 1.751690+1 5.000000+7 1.826300+1 5.750000+7 2.039360+1 6.000000+7 2.106400+1 6.750000+7 2.292750+1 7.000000+7 2.350100+1 7.750000+7 2.506820+1 8.000000+7 2.554600+1 8.750000+7 2.685190+1 9.000000+7 2.725200+1 9.750000+7 2.835900+1 1.000000+8 2.870500+1 1.062500+8 2.951900+1 1.144500+8 3.050660+1 1.187500+8 3.099160+1 1.214800+8 3.128980+1 1.250000+8 3.166600+1 1.312500+8 3.230340+1 1.406300+8 3.320750+1 1.500000+8 3.404600+1 1.750000+8 3.600250+1 1.812500+8 3.643350+1 1.937500+8 3.724100+1 2.000000+8 3.761800+1 2.125000+8 3.831530+1 2.218800+8 3.880220+1 2.359400+8 3.947280+1 2.375000+8 3.954470+1 2.500000+8 4.008500+1 2.812500+8 4.126150+1 2.937500+8 4.167480+1 3.000000+8 4.187000+1 3.125000+8 4.223920+1 3.500000+8 4.319800+1 3.812500+8 4.384920+1 3.937500+8 4.407390+1 4.000000+8 4.418400+1 4.125000+8 4.438620+1 4.234400+8 4.454680+1 4.425800+8 4.481050+1 4.750000+8 4.519120+1 5.000000+8 4.543700+1 5.250000+8 4.564890+1 5.578100+8 4.588410+1 6.000000+8 4.613900+1 6.343800+8 4.631000+1 6.578100+8 4.641770+1 6.789100+8 4.650460+1 7.000000+8 4.658900+1 7.250000+8 4.667590+1 8.000000+8 4.691500+1 8.359400+8 4.700970+1 8.660200+8 4.708600+1 9.138700+8 4.719800+1 1.000000+9 4.736800+1 1.171900+9 4.760480+1 1.253900+9 4.769100+1 1.315400+9 4.773870+1 1.375000+9 4.778290+1 1.381300+9 4.778680+1 1.440700+9 4.781900+1 1.500000+9 4.785000+1 1.562500+9 4.787090+1 1.641100+9 4.789600+1 1.706900+9 4.791610+1 1.811600+9 4.793470+1 1.905800+9 4.794920+1 2.000000+9 4.796300+1 2.139200+9 4.797400+1 2.272600+9 4.798390+1 2.443000+9 4.799300+1 2.602800+9 4.799710+1 2.825100+9 4.800250+1 3.088500+9 4.800690+1 3.327400+9 4.800580+1 3.634100+9 4.800460+1 3.975600+9 4.800330+1 4.423800+9 4.800180+1 5.000000+9 4.800000+1 5.750000+9 4.800000+1 6.875000+9 4.800000+1 8.000000+9 4.800000+1 1.00000+10 4.800000+1 1.20500+10 4.800000+1 1.41820+10 4.800000+1 1.71110+10 4.800000+1 2.01380+10 4.800000+1 2.41190+10 4.800000+1 2.88610+10 4.800000+1 3.54590+10 4.800000+1 4.35270+10 4.800000+1 5.38800+10 4.800000+1 7.03510+10 4.800000+1 9.01170+10 4.800000+1 1.00000+11 4.800000+1 1.34280+11 4.800000+1 1.77440+11 4.800000+1 2.63330+11 4.800000+1 3.75720+11 4.800000+1 6.61190+11 4.800000+1 1.48990+12 4.800000+1 4.26460+12 4.800000+1 1.00000+14 4.800000+1 5.62340+14 4.800000+1 7.49890+15 4.800000+1 1.00000+17 4.800000+1 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.000173-6 0.0 4.334609-6 0.0 4.353280-6 3.230414+0 4.355947-6 3.687192+0 4.366616-6 6.734958+0 4.377285-6 1.135607+1 4.389288-6 1.863871+1 4.407792-6 3.251660+1 4.421295-6 4.191180+1 4.431298-6 4.673826+1 4.442279-6 4.846709+1 4.453696-6 4.599738+1 4.464961-6 4.001732+1 4.482789-6 2.681364+1 4.494697-6 1.807461+1 4.498327-6 1.602940+1 4.506294-6 1.409046+1 4.515984-6 1.304746+1 4.520483-6 1.331741+1 4.526653-6 1.492930+1 4.531142-6 1.663554+1 4.542936-6 2.467878+1 4.549314-6 3.110091+1 4.555274-6 3.847840+1 4.574405-6 6.645409+1 4.586844-6 8.359625+1 4.599127-6 9.467234+1 4.610198-6 9.766751+1 4.620727-6 9.359226+1 4.632771-6 8.135899+1 4.650200-6 5.638804+1 4.663995-6 3.655078+1 4.675066-6 2.359591+1 4.686138-6 1.406148+1 4.697209-6 7.735333+0 4.713815-6 1.966353+0 4.719351-6 0.0 5.678296-6 0.0 5.692272-6 1.61508-14 5.706249-6 3.19579-14 5.720225-6 5.83738-14 5.734202-6 9.84262-14 5.748178-6 1.53200-13 5.762154-6 2.20119-13 5.776131-6 2.91953-13 5.790107-6 3.57455-13 5.804084-6 4.04002-13 5.818060-6 4.21502-13 5.832036-6 4.05948-13 5.846013-6 3.60906-13 5.859989-6 2.96191-13 5.887942-6 1.56925-13 5.901918-6 1.01305-13 5.915895-6 6.03705-14 5.929871-6 3.32103-14 5.943848-6 1.68646-14 5.957824-6 0.0 6.471239-6 0.0 6.500855-6 1.322965-1 6.503095-6 1.422088-1 6.511712-6 2.057337-1 6.520019-6 3.767768-1 6.536535-6 7.769902-1 6.545197-6 1.029872+0 6.559796-6 1.588787+0 6.577447-6 2.513479+0 6.625605-6 5.634098+0 6.643225-6 6.460325+0 6.655962-6 6.812214+0 6.672992-6 6.748221+0 6.690375-6 6.144195+0 6.706453-6 5.229295+0 6.742558-6 2.767101+0 6.752129-6 2.182972+0 6.768157-6 1.386546+0 6.784184-6 7.925181-1 6.791034-6 6.189460-1 6.800212-6 4.214146-1 6.828600-6 4.908688-2 6.832268-6 4.177836-5 6.841095-6 3.053362-5 6.855668-6 1.792420-5 6.857258-6 1.676753-5 6.873420-6 8.339875-6 6.887985-6 5.143434-7 6.889582-6 0.0 7.167755-6 0.0 7.183995-6 1.558549-2 7.203040-6 9.094913-2 7.219360-6 1.648347-1 7.237043-6 2.932302-1 7.255967-6 4.989069-1 7.275945-6 7.916947-1 7.312245-6 1.404485+0 7.329147-6 1.640809+0 7.344180-6 1.781740+0 7.364028-6 1.804058+0 7.382148-6 1.677961+0 7.405360-6 1.356374+0 7.443217-6 7.248507-1 7.450035-6 6.169943-1 7.467678-6 3.925933-1 7.485320-6 2.319295-1 7.490540-6 2.022831-1 7.502963-6 1.478634-1 7.520605-6 1.037051-1 7.527414-6 9.432944-2 7.537651-6 8.824111-2 7.545851-6 1.117872-1 7.564288-6 1.861524-1 7.582725-6 2.863812-1 7.629736-6 5.986910-1 7.644853-6 6.786859-1 7.663307-6 7.440054-1 7.678403-6 7.640817-1 7.697256-6 7.359173-1 7.755225-6 5.070036-1 7.772668-6 4.676312-1 7.791521-6 4.504326-1 7.817580-6 4.622009-1 7.844350-6 4.897119-1 7.888844-6 5.002329-1 8.067420-6 4.393698-1 8.126179-6 4.225802-1 8.156846-6 4.110108-1 8.306711-6 3.886247-1 8.821438-6 2.995687-1 9.225714-6 2.447872-1 9.744286-6 1.894774-1 1.021821-5 1.501667-1 1.071519-5 1.177296-1 1.128308-5 8.903499-2 1.184861-5 6.728861-2 1.243421-5 5.009114-2 1.299689-5 3.749139-2 1.300217-5 3.739155-2 1.306217-5 1.466249+0 1.306617-5 1.560628+0 1.309818-5 2.820104+0 1.313018-5 4.730068+0 1.316568-5 7.700252+0 1.326019-5 1.722235+1 1.329359-5 1.939198+1 1.332459-5 2.008275+1 1.335938-5 1.904835+1 1.339108-5 1.675759+1 1.348222-5 7.514614+0 1.351422-5 4.860971+0 1.354622-5 2.907835+0 1.357823-5 1.611777+0 1.359917-5 1.101509+0 1.364223-5 6.421456-1 1.366716-5 1.002463+0 1.370037-5 1.791823+0 1.373487-5 3.044409+0 1.376949-5 4.784797+0 1.387023-5 1.113553+1 1.390398-5 1.265612+1 1.393495-5 1.336602+1 1.397339-5 1.306583+1 1.400688-5 1.197026+1 1.405321-5 9.578971+0 1.410126-5 6.826220+0 1.413507-5 5.078743+0 1.416895-5 3.625983+0 1.420282-5 2.490671+0 1.426863-5 8.326080-1 1.430445-5 5.311505-1 1.433832-5 3.236750-1 1.437220-5 1.859129-1 1.442687-5 5.030682-2 1.443995-5 1.720409-2 1.494290-5 1.294512-2 1.501600-5 1.241363-2 1.509002-5 3.141762-1 1.512688-5 5.625597-1 1.516615-5 9.725279-1 1.520297-5 1.495244+0 1.531168-5 3.383982+0 1.535095-5 3.833348+0 1.538791-5 3.978839+0 1.542718-5 3.787945+0 1.546303-5 3.355731+0 1.557040-5 1.490010+0 1.560736-5 9.649048-1 1.564432-5 5.783915-1 1.568128-5 3.218851-1 1.568825-5 2.927999-1 1.573578-5 1.634311-1 1.575520-5 1.527815-1 1.576548-5 1.915423-1 1.580410-5 3.854804-1 1.581512-5 4.586661-1 1.584271-5 6.769428-1 1.585730-5 8.231315-1 1.589345-5 1.260273+0 1.594564-5 2.086390+0 1.602577-5 3.479300+0 1.606202-5 3.943641+0 1.608920-5 4.182350+0 1.613268-5 4.235643+0 1.617229-5 4.000899+0 1.623363-5 3.283748+0 1.630173-5 2.377804+0 1.634169-5 1.961636+0 1.637510-5 1.706836+0 1.640909-5 1.521795+0 1.644572-5 1.384895+0 1.651094-5 1.290737+0 1.657560-5 1.390264+0 1.669897-5 1.784735+0 1.675386-5 1.998251+0 1.681473-5 2.145620+0 1.687229-5 2.149442+0 1.702875-5 1.907855+0 1.709880-5 1.891981+0 1.728108-5 1.999079+0 1.888131-5 2.172748+0 2.045000-5 2.510192+0 2.209372-5 3.058430+0 2.371374-5 3.786533+0 2.511886-5 4.581691+0 2.735385-5 6.159337+0 2.959548-5 8.141503+0 3.280993-5 1.166064+1 4.055000-5 2.129892+1 4.399635-5 2.425509+1 4.738401-5 2.541696+1 5.099768-5 2.476803+1 5.630336-5 2.149792+1 6.750062-5 1.250264+1 6.868230-5 1.190727+1 6.967904-5 1.239526+1 7.032829-5 1.188075+1 7.091980-5 1.128919+1 7.450000-5 9.339350+0 7.600204-5 9.119302+0 7.730010-5 8.391716+0 8.225000-5 6.362768+0 8.672114-5 4.896264+0 9.015711-5 4.004883+0 9.398262-5 3.221730+0 9.800000-5 2.600493+0 1.017500-4 2.170472+0 1.052677-4 1.872463+0 1.072004-4 1.752279+0 1.080912-4 1.812987+0 1.094630-4 2.174199+0 1.099355-4 2.183159+0 1.112962-4 1.855178+0 1.125806-4 1.794773+0 1.159624-4 1.695611+0 1.220954-4 1.636216+0 1.299439-4 1.680864+0 1.400000-4 1.856120+0 1.833832-4 2.956462+0 2.089296-4 3.472265+0 2.407722-4 3.913537+0 2.733750-4 4.181934+0 3.344791-4 4.325942+0 4.018857-4 4.247842+0 4.065878-4 4.454229+0 4.169700-4 5.018693+0 4.237000-4 5.326000+0 4.276500-4 5.875746+0 4.308444-4 6.701725+0 4.342499-4 8.059910+0 4.382372-4 1.033852+1 4.436624-4 1.440313+1 4.540000-4 2.269456+1 4.608411-4 2.679475+1 4.685000-4 2.958465+1 4.782500-4 3.099400+1 5.016975-4 3.046822+1 6.017274-4 2.620892+1 6.128446-4 2.699606+1 6.294395-4 2.808094+1 6.710000-4 2.820870+1 7.410018-4 2.596792+1 7.613663-4 2.630928+1 9.450801-4 2.094955+1 1.106028-3 1.738500+1 1.318257-3 1.390669+1 1.545477-3 1.124113+1 1.761010-3 9.386359+0 2.018366-3 7.729898+0 2.319897-3 6.311563+0 2.676076-3 5.101366+0 3.096329-3 4.084559+0 3.446342-3 3.470021+0 3.471802-3 3.543621+0 3.485529-3 3.758237+0 3.496933-3 4.136728+0 3.506909-3 4.668476+0 3.518351-3 5.521448+0 3.556036-3 8.962987+0 3.573436-3 9.963783+0 3.595426-3 1.047816+1 3.677046-3 1.048041+1 3.705247-3 1.098387+1 3.760603-3 1.302799+1 3.793231-3 1.341708+1 3.940349-3 1.289360+1 4.037927-3 1.396856+1 4.808520-3 1.080704+1 5.528128-3 8.666266+0 6.364291-3 6.919918+0 7.293473-3 5.539908+0 8.302817-3 4.460460+0 9.500000-3 3.550787+0 1.074842-2 2.872960+0 1.180980-2 2.439436+0 1.325867-2 1.992334+0 1.491765-2 1.618198+0 1.675184-2 1.316796+0 1.877548-2 1.072795+0 2.084184-2 8.886609-1 2.343172-2 7.182105-1 2.598339-2 5.966701-1 2.614166-2 6.105999-1 2.623711-2 6.527681-1 2.630530-2 7.184076-1 2.636942-2 8.214545-1 2.642380-2 9.488573-1 2.649143-2 1.165181+0 2.657473-2 1.514119+0 2.681823-2 2.708389+0 2.694350-2 3.135397+0 2.709020-2 3.374817+0 2.730648-2 3.438021+0 3.176311-2 2.700871+0 3.626777-2 2.173010+0 4.129881-2 1.743221+0 4.660744-2 1.412734+0 5.274073-2 1.136873+0 5.952767-2 9.155287-1 6.572694-2 7.653618-1 7.456180-2 6.073650-1 8.237657-2 5.053222-1 9.242290-2 4.076832-1 1.037900-1 3.277542-1 1.143208-1 2.729600-1 1.256527-1 2.282295-1 1.387784-1 1.891144-1 1.530924-1 1.570859-1 1.686864-1 1.307157-1 1.875077-1 1.070033-1 2.075840-1 8.838373-2 2.294515-1 7.336864-2 2.526387-1 6.141577-2 2.818734-1 5.033372-2 3.112332-1 4.222592-2 3.479710-1 3.476387-2 3.873343-1 2.897774-2 4.372821-1 2.376382-2 4.897788-1 1.989104-2 5.448162-1 1.695553-2 6.042964-1 1.461830-2 6.842060-1 1.235883-2 7.796057-1 1.047845-2 8.810489-1 9.078184-3 1.011580+0 7.834698-3 1.173413+0 6.680667-3 1.410753+0 5.472872-3 1.696098+0 4.483434-3 2.039158+0 3.672876-3 2.451607+0 3.008858-3 2.947480+0 2.464888-3 3.543651+0 2.019262-3 4.260405+0 1.654200-3 5.122134+0 1.355138-3 6.158159+0 1.110143-3 7.403736+0 9.094407-4 8.901248+0 7.450233-4 9.760024+0 6.743224-4 1.000000+1 1.370147-3 1 48000 7 0 1.124000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-4.790182+1 3.000173-6-4.649185+1 3.714999-6-4.403113+1 4.009648-6-4.097246+1 4.164180-6-3.723587+1 4.240112-6-3.364513+1 4.286141-6-2.992245+1 4.313301-6-2.639585+1 4.327867-6-2.352497+1 4.345278-6-1.823608+1 4.355947-6-1.509259+1 4.367950-6-1.100458+1 4.378619-6-7.745769+0 4.380953-6-7.176783+0 4.389288-6-5.622010+0 4.391622-6-5.402934+0 4.395123-6-5.325140+0 4.398624-6-5.440689+0 4.401291-6-5.688264+0 4.403291-6-6.013882+0 4.407792-6-7.136798+0 4.413960-6-9.558057+0 4.418461-6-1.185148+1 4.428297-6-1.859935+1 4.441300-6-2.987035+1 4.456220-6-4.220096+1 4.466774-6-4.810179+1 4.477703-6-4.537011+1 4.487885-6-4.643001+1 4.493369-6-4.792984+1 4.517006-6-3.155979+1 4.533132-6-1.823911+1 4.541362-6-1.267150+1 4.544199-6-1.049299+1 4.549314-6-7.401864+0 4.553977-6-5.139799+0 4.555274-6-4.696719+0 4.557544-6-4.226421+0 4.559247-6-4.057872+0 4.561801-6-4.042249+0 4.564356-6-4.220537+0 4.565740-6-4.412959+0 4.568161-6-5.073251+0 4.569978-6-5.779079+0 4.571340-6-6.424446+0 4.574405-6-8.275396+0 4.580270-6-1.320413+1 4.583871-6-1.694323+1 4.586169-6-1.991578+1 4.595872-6-3.425696+1 4.603153-6-4.758137+1 4.603657-6-4.792433+1 4.608538-6-3.864483+1 4.611907-6-3.179685+1 4.619345-6-1.850699+1 4.620727-6-1.555904+1 4.623084-6-1.152563+1 4.630782-6 2.099162-2 4.631474-6 1.143968+0 4.632771-6 2.930985+0 4.635042-6 5.671340+0 4.636745-6 7.515064+0 4.641853-6 1.239795+1 4.645659-6 1.532406+1 4.650200-6 1.772109+1 4.655692-6 1.920412+1 4.660882-6 1.968997+1 4.663995-6 1.923449+1 4.672299-6 1.710927+1 4.684927-6 1.096354+1 4.686138-6 1.013012+1 4.697209-6 3.817333+0 4.698593-6 2.917991+0 4.701014-6 1.630291+0 4.713815-6-4.313258+0 4.716583-6-5.755354+0 4.718659-6-7.032253+0 4.720287-6-8.331380+0 4.724026-6-1.037639+1 4.731467-6-1.337293+1 4.742519-6-1.669485+1 4.760682-6-2.066242+1 4.789023-6-2.491255+1 4.829954-6-2.893468+1 4.894192-6-3.284376+1 5.008949-6-3.672274+1 5.237137-6-4.034270+1 5.762154-6-4.350580+1 6.455463-6-4.643576+1 6.557139-6-4.813558+1 6.614343-6-4.838483+1 6.674870-6-4.389123+1 6.724417-6-4.107396+1 6.784184-6-4.171429+1 6.906968-6-4.396467+1 7.312245-6-4.600855+1 7.443217-6-4.433217+1 7.654080-6-4.549028+1 1.178259-5-4.827949+1 1.243421-5-4.895816+1 1.287049-5-4.642917+1 1.300217-5-4.363489+1 1.316218-5-3.806917+1 1.321069-5-3.869288+1 1.325819-5-4.182936+1 1.332364-5-4.939059+1 1.339108-5-4.130345+1 1.343931-5-3.860563+1 1.348222-5-3.832990+1 1.355022-5-4.098992+1 1.371401-5-4.979341+1 1.380059-5-4.775142+1 1.387023-5-4.953607+1 1.389352-5-4.890859+1 1.402402-5-3.987534+1 1.409451-5-3.790972+1 1.420282-5-3.899334+1 1.442687-5-4.316997+1 1.526305-5-4.881518+1 1.551569-5-4.513458+1 1.572687-5-4.691770+1 1.596825-5-4.921422+1 1.626340-5-4.562868+1 1.678536-5-4.748519+1 3.135090-5-5.303138+1 3.694578-5-5.191361+1 4.198899-5-4.710202+1 5.233838-5-3.240206+1 5.630336-5-2.835287+1 6.001135-5-2.584454+1 6.428484-5-2.439284+1 6.806978-5-2.447490+1 6.924655-5-2.501149+1 7.063354-5-2.394281+1 7.600204-5-2.421178+1 8.366819-5-2.468819+1 1.096850-4-2.921839+1 1.449138-4-3.197930+1 2.089296-4-3.337244+1 3.154618-4-3.512855+1 3.707728-4-3.813906+1 3.993573-4-4.160395+1 4.226688-4-4.711001+1 4.419247-4-5.559371+1 4.505812-4-5.571843+1 4.623811-4-5.105310+1 4.815000-4-4.181374+1 4.982586-4-3.667788+1 5.211754-4-3.249728+1 5.557753-4-2.853789+1 5.912166-4-2.642993+1 6.155392-4-2.672438+1 6.417084-4-2.396805+1 6.620254-4-2.215180+1 6.936274-4-1.945939+1 7.339721-4-1.737976+1 7.566292-4-1.688123+1 7.777147-4-1.533647+1 8.266920-4-1.315691+1 8.930162-4-1.111300+1 9.772372-4-9.282417+0 1.074608-3-7.871378+0 1.189947-3-6.774363+0 1.318257-3-6.039508+0 1.486577-3-5.512260+0 1.683643-3-5.286611+0 1.932038-3-5.326729+0 2.319897-3-5.818033+0 2.676076-3-6.646503+0 2.957801-3-7.672795+0 3.157598-3-8.802162+0 3.293823-3-1.000708+1 3.386421-3-1.131704+1 3.446342-3-1.277039+1 3.481118-3-1.433048+1 3.523912-3-1.674343+1 3.543937-3-1.687101+1 3.577794-3-1.533796+1 3.612753-3-1.378683+1 3.650492-3-1.310552+1 3.725560-3-1.342833+1 3.751558-3-1.286384+1 3.806871-3-1.087837+1 3.860502-3-9.762397+0 3.922251-3-9.151646+0 3.985583-3-9.041917+0 4.021601-3-8.484889+0 4.075069-3-7.337637+0 4.141537-3-6.377326+0 4.249714-3-5.300528+0 4.403013-3-4.203805+0 4.561025-3-3.373487+0 4.751984-3-2.614899+0 4.923913-3-2.093864+0 5.142312-3-1.586869+0 5.320623-3-1.262688+0 5.528128-3-9.610102-1 5.705760-3-7.562672-1 5.901501-3-5.679945-1 6.034273-3-4.629708-1 6.238125-3-3.291684-1 6.364291-3-2.583555-1 6.518292-3-1.835260-1 6.603964-3-1.466787-1 6.738170-3-9.629256-2 6.905982-3-4.534245-2 7.004899-3-1.921768-2 7.082985-3 3.028479-4 7.171748-3 2.121206-2 7.246164-3 3.650073-2 7.336159-3 5.231105-2 7.438301-3 6.767367-2 7.516499-3 7.784969-2 7.684666-3 9.403969-2 7.852356-3 1.060340-1 8.066398-3 1.150398-1 8.302817-3 1.177413-1 8.673230-3 1.143668-1 9.181108-3 9.057213-2 9.437955-3 7.390420-2 9.843607-3 4.083608-2 1.015803-2 1.212268-2 1.026594-2 1.256614-3 1.030752-2-2.865553-3 1.049760-2-2.180053-2 1.074842-2-4.833600-2 1.105987-2-7.961950-2 1.180980-2-1.615232-1 1.877548-2-9.462914-1 2.084184-2-1.216077+0 2.253777-2-1.498968+0 2.380393-2-1.793422+0 2.470880-2-2.102200+0 2.534696-2-2.431886+0 2.577272-2-2.772590+0 2.605156-2-3.131866+0 2.626046-2-3.582130+0 2.657473-2-4.454903+0 2.671035-2-4.536942+0 2.685142-2-4.290929+0 2.720211-2-3.216043+0 2.740000-2-2.806144+0 2.764514-2-2.464250+0 2.804259-2-2.086434+0 2.859938-2-1.717732+0 2.929623-2-1.389145+0 3.003157-2-1.135951+0 3.090295-2-9.109765-1 3.176311-2-7.408923-1 3.283557-2-5.745630-1 3.382351-2-4.520827-1 3.476930-2-3.551812-1 3.583490-2-2.650179-1 3.626777-2-2.337084-1 3.726936-2-1.707085-1 3.811241-2-1.268577-1 3.902708-2-8.600646-2 4.015954-2-4.242805-2 4.129881-2-6.016435-3 4.197288-2 1.128723-2 4.237116-2 2.165321-2 4.333228-2 4.154003-2 4.459773-2 6.400026-2 4.660744-2 8.907569-2 4.797528-2 1.022778-1 5.014632-2 1.160962-1 5.274073-2 1.261641-1 5.550252-2 1.292053-1 5.952767-2 1.246797-1 6.572694-2 1.097417-1 8.910870-2 2.426669-2 9.566134-2 2.214768-3 9.645829-2-3.279946-4 9.777898-2-4.503372-3 1.010489-1-1.444142-2 1.062368-1-2.967847-2 1.143208-1-5.121169-2 1.256527-1-7.744905-2 1.387784-1-1.028629-1 1.576080-1-1.320247-1 1.808542-1-1.593154-1 2.149226-1-1.878825-1 2.718155-1-2.176101-1 3.609027-1-2.422577-1 5.248075-1-2.616610-1 9.293673-1-2.748512-1 2.814822+0-2.803411-1 8.500626+0-2.809865-1 1.000000+1-2.808932-1 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.257282-2 1.066947-6 1.695170-2 1.119635-6 2.129651-2 1.144751-6 2.371259-2 1.216223-6 3.209211-2 1.260417-6 3.852746-2 1.301850-6 4.570665-2 1.340693-6 5.365113-2 1.377109-6 6.234312-2 1.411248-6 7.182952-2 1.443254-6 8.215408-2 1.473259-6 9.334643-2 1.501389-6 1.054293-1 1.527761-6 1.184059-1 1.552485-6 1.322990-1 1.575663-6 1.471774-1 1.597393-6 1.630942-1 1.617764-6 1.800950-1 1.636863-6 1.982295-1 1.654768-6 2.175514-1 1.671553-6 2.381184-1 1.687290-6 2.599892-1 1.702043-6 2.832163-1 1.715874-6 3.078566-1 1.728841-6 3.339898-1 1.740997-6 3.617108-1 1.752393-6 3.911142-1 1.763077-6 4.222923-1 1.773094-6 4.553387-1 1.782484-6 4.903504-1 1.791288-6 5.274276-1 1.799541-6 5.666744-1 1.807278-6 6.081980-1 1.814532-6 6.521099-1 1.821333-6 6.985265-1 1.827708-6 7.475714-1 1.833685-6 7.993757-1 1.839288-6 8.540764-1 1.844542-6 9.118135-1 1.849466-6 9.727287-1 1.854083-6 1.036969+0 1.858412-6 1.104695+0 1.862470-6 1.176096+0 1.870079-6 1.336534+0 1.876736-6 1.516448+0 1.882562-6 1.719225+0 1.887659-6 1.948021+0 1.892119-6 2.204461+0 1.896021-6 2.487662+0 1.899436-6 2.794032+0 1.902424-6 3.117805+0 1.905039-6 3.451980+0 1.907326-6 3.789288+0 1.909328-6 4.122965+0 1.912612-6 4.757577+0 1.917305-6 5.877556+0 1.925161-6 8.392290+0 1.928073-6 9.537956+0 1.930441-6 1.055016+1 1.932808-6 1.162887+1 1.937542-6 1.394802+1 1.938133-6 1.424926+1 1.942276-6 1.639090+1 1.943903-6 1.723364+1 1.947010-6 1.880960+1 1.948637-6 1.960356+1 1.950190-6 2.033182+1 1.952336-6 2.127708+1 1.954148-6 2.200915+1 1.956478-6 2.284335+1 1.958549-6 2.346870+1 1.960962-6 2.404212+1 1.963727-6 2.447401+1 1.966094-6 2.464042+1 1.966918-6 2.465301+1 1.969269-6 2.455903+1 1.971596-6 2.427803+1 1.972732-6 2.407452+1 1.974848-6 2.358394+1 1.977205-6 2.287672+1 1.980583-6 2.160038+1 1.982413-6 2.079767+1 1.983956-6 2.007056+1 1.985474-6 1.931727+1 1.987286-6 1.837727+1 1.989616-6 1.712110+1 1.991687-6 1.597694+1 1.993851-6 1.477169+1 1.996717-6 1.318700+1 1.999084-6 1.191082+1 2.001747-6 1.053189+1 2.003818-6 9.512517+0 2.008848-6 7.271328+0 2.009958-6 6.825889+0 2.011622-6 6.192364+0 2.013287-6 5.600659+0 2.015358-6 4.922421+0 2.018021-6 4.142964+0 2.020078-6 3.609304+0 2.022794-6 2.990579+0 2.024588-6 2.632188+0 2.026370-6 2.312458+0 2.028139-6 2.028709+0 2.029894-6 1.777623+0 2.033363-6 1.360911+0 2.036779-6 1.039149+0 2.040141-6 7.924329-1 2.043450-6 6.042057-1 2.048318-6 4.029453-1 2.053073-6 2.697057-1 2.057718-6 1.812789-1 2.062254-6 1.222737-1 2.066685-6 8.265903-2 2.069582-6 6.371177-2 2.073842-6 4.315480-2 2.080724-6 2.278768-2 2.083402-6 1.786188-2 2.084725-6 1.589747-2 2.086038-6 1.421885-2 2.087341-6 1.279657-2 2.089275-6 1.108954-2 2.090867-6 1.001190-2 2.091183-6 9.830401-3 2.092756-6 9.077938-3 2.094007-6 8.649116-3 2.095247-6 8.362220-3 2.096478-6 8.206738-3 2.097699-6 8.173624-3 2.100122-6 8.446405-3 2.102508-6 9.131737-3 2.104856-6 1.019206-2 2.107167-6 1.159883-2 2.109443-6 1.332939-2 2.113922-6 1.772623-2 2.118262-6 2.321915-2 2.122466-6 2.966215-2 2.187628-6 2.231662-1 2.195774-6 2.686784-1 2.202901-6 3.193755-1 2.209137-6 3.755470-1 2.214594-6 4.372701-1 2.219368-6 5.042612-1 2.223546-6 5.757677-1 2.227201-6 6.506082-1 2.230400-6 7.273296-1 2.233199-6 8.044002-1 2.237791-6 9.540228-1 2.244353-6 1.226339+0 2.252790-6 1.693545+0 2.256386-6 1.934727+0 2.258335-6 2.075591+0 2.261108-6 2.287251+0 2.263880-6 2.510735+0 2.269425-6 2.983830+0 2.270118-6 3.044508+0 2.274970-6 3.470214+0 2.276876-6 3.634685+0 2.280515-6 3.936638+0 2.282421-6 4.085426+0 2.284241-6 4.219456+0 2.286060-6 4.344230+0 2.288486-6 4.493806+0 2.290825-6 4.617216+0 2.292991-6 4.711022+0 2.294811-6 4.773285+0 2.297150-6 4.829675+0 2.300269-6 4.861228+0 2.302868-6 4.848141+0 2.303834-6 4.834079+0 2.306588-6 4.766797+0 2.309138-6 4.669555+0 2.311283-6 4.562996+0 2.313850-6 4.407967+0 2.316332-6 4.232246+0 2.319189-6 4.002855+0 2.321501-6 3.799702+0 2.322977-6 3.663354+0 2.325568-6 3.414439+0 2.328032-6 3.169971+0 2.330420-6 2.929518+0 2.332846-6 2.685185+0 2.335380-6 2.433367+0 2.338737-6 2.110652+0 2.341163-6 1.888509+0 2.343156-6 1.714558+0 2.345105-6 1.552719+0 2.347055-6 1.399743+0 2.352600-6 1.016353+0 2.354733-6 8.897440-1 2.356439-6 7.968037-1 2.358145-6 7.110660-1 2.360571-6 6.011249-1 2.363032-6 5.032888-1 2.365452-6 4.196453-1 2.367556-6 3.563042-1 2.369648-6 3.012838-1 2.371728-6 2.537781-1 2.374482-6 2.007858-1 2.377214-6 1.580366-1 2.380937-6 1.131007-1 2.385615-6 7.401659-2 2.386941-6 6.578718-2 2.388263-6 5.863401-2 2.389579-6 5.245883-2 2.390890-6 4.716391-2 2.392196-6 4.266014-2 2.393498-6 3.886658-2 2.394794-6 3.570984-2 2.396084-6 3.312363-2 2.398656-6 2.942416-2 2.401208-6 2.737060-2 2.403740-6 2.663328-2 2.406252-6 2.694987-2 2.408744-6 2.811276-2 2.411217-6 2.995831-2 2.413670-6 3.235778-2 2.418539-6 3.846134-2 2.423332-6 4.582284-2 2.428050-6 5.406791-2 2.432694-6 6.294973-2 2.437265-6 7.229868-2 2.446265-6 9.210720-2 2.454984-6 1.127062-1 2.463431-6 1.337325-1 2.471613-6 1.549801-1 2.487467-6 1.984284-1 2.502330-6 2.419188-1 2.530197-6 3.315050-1 2.578966-6 5.157747-1 2.615542-6 6.855999-1 2.663548-6 9.728568-1 2.702125-6 1.282812+0 2.731979-6 1.592470+0 2.752103-6 1.849998+0 2.765518-6 2.050312+0 2.778934-6 2.278718+0 2.792350-6 2.540902+0 2.799058-6 2.686843+0 2.812474-6 3.013923+0 2.825890-6 3.397493+0 2.836779-6 3.760715+0 2.843610-6 4.017409+0 2.850441-6 4.300270+0 2.859429-6 4.719206+0 2.868597-6 5.212477+0 2.877765-6 5.788520+0 2.884596-6 6.284478+0 2.891427-6 6.850958+0 2.898258-6 7.504474+0 2.905089-6 8.267667+0 2.911920-6 9.172383+0 2.920905-6 1.065703+1 2.928767-6 1.234675+1 2.935646-6 1.425549+1 2.941665-6 1.637884+1 2.946931-6 1.869175+1 2.951539-6 2.115193+1 2.955572-6 2.370657+1 2.959100-6 2.629968+1 2.964888-6 3.139582+1 2.971389-6 3.857831+1 2.985418-6 6.049647+1 2.990506-6 7.086439+1 2.992766-6 7.589212+1 2.996440-6 8.459893+1 3.000114-6 9.392905+1 3.007462-6 1.141693+2 3.008381-6 1.168171+2 3.014811-6 1.357781+2 3.017337-6 1.433111+2 3.022796-6 1.593716+2 3.025188-6 1.661824+2 3.027359-6 1.721722+2 3.030920-6 1.814894+2 3.033646-6 1.880911+2 3.035872-6 1.930748+2 3.038794-6 1.989810+2 3.042552-6 2.053793+2 3.046806-6 2.108028+2 3.050050-6 2.135231+2 3.053061-6 2.148916+2 3.056710-6 2.150195+2 3.059429-6 2.140182+2 3.066589-6 2.070298+2 3.070060-6 2.015187+2 3.073596-6 1.946333+2 3.076224-6 1.887768+2 3.079654-6 1.803053+2 3.082700-6 1.721244+2 3.084659-6 1.665972+2 3.086617-6 1.608991+2 3.088873-6 1.541653+2 3.091834-6 1.451315+2 3.095641-6 1.333503+2 3.099315-6 1.219889+2 3.102989-6 1.108115+2 3.107123-6 9.864373+1 3.110338-6 8.958720+1 3.117686-6 7.058016+1 3.121530-6 6.170286+1 3.127676-6 4.913309+1 3.132382-6 4.086075+1 3.135318-6 3.627411+1 3.138662-6 3.156373+1 3.142960-6 2.626163+1 3.147119-6 2.187418+1 3.152466-6 1.718776+1 3.158338-6 1.310540+1 3.165886-6 9.180698+0 3.173528-6 6.368950+0 3.184991-6 3.660066+0 3.193196-6 2.453852+0 3.201339-6 1.643032+0 3.208669-6 1.139739+0 3.214024-6 8.711271-1 3.219380-6 6.678670-1 3.227022-6 4.692395-1 3.234664-6 3.599423-1 3.238485-6 3.352912-1 3.240395-6 3.302182-1 3.242306-6 3.299800-1 3.244565-6 3.359992-1 3.245005-6 3.379752-1 3.246552-6 3.470331-1 3.247816-6 3.569031-1 3.248763-6 3.657914-1 3.249474-6 3.733067-1 3.251073-6 3.929296-1 3.252106-6 4.076514-1 3.253044-6 4.224384-1 3.254685-6 4.516639-1 3.259609-6 5.665581-1 3.263611-6 6.930631-1 3.275616-6 1.294141+0 3.281619-6 1.752830+0 3.283620-6 1.934638+0 3.291623-6 2.832656+0 3.300032-6 4.128590+0 3.303029-6 4.693800+0 3.307496-6 5.649568+0 3.312162-6 6.804763+0 3.316377-6 7.995731+0 3.318885-6 8.774111+0 3.323433-6 1.032079+1 3.326491-6 1.146006+1 3.329549-6 1.267817+1 3.337704-6 1.629011+1 3.338724-6 1.677556+1 3.345859-6 2.034306+1 3.348663-6 2.180724+1 3.354779-6 2.505928+1 3.358951-6 2.727247+1 3.362460-6 2.909395+1 3.366215-6 3.096915+1 3.370263-6 3.286668+1 3.374436-6 3.464290+1 3.378195-6 3.605058+1 3.379323-6 3.643228+1 3.383493-6 3.766510+1 3.387416-6 3.854588+1 3.389981-6 3.896492+1 3.393764-6 3.934639+1 3.397223-6 3.944259+1 3.399440-6 3.937660+1 3.403142-6 3.904644+1 3.406841-6 3.844947+1 3.408325-6 3.813791+1 3.413288-6 3.681614+1 3.417173-6 3.550725+1 3.420937-6 3.404010+1 3.424366-6 3.256032+1 3.428216-6 3.076701+1 3.431431-6 2.918734+1 3.435566-6 2.708219+1 3.440490-6 2.452015+1 3.443721-6 2.283766+1 3.448308-6 2.048373+1 3.451876-6 1.870547+1 3.460031-6 1.490332+1 3.463421-6 1.345547+1 3.469892-6 1.093827+1 3.474729-6 9.277861+0 3.478051-6 8.247459+0 3.482805-6 6.925562+0 3.487362-6 5.819205+0 3.490290-6 5.186908+0 3.493127-6 4.629429+0 3.498536-6 3.705207+0 3.503613-6 2.987173+0 3.508454-6 2.420004+0 3.512991-6 1.978432+0 3.517245-6 1.632873+0 3.524973-6 1.145319+0 3.535050-6 7.170192-1 3.581057-6 2.453815-1 3.581332-6 2.473914-1 3.589871-6 3.437223-1 3.592075-6 3.806023-1 3.595380-6 4.466762-1 3.598685-6 5.269740-1 3.607500-6 8.233436-1 3.611907-6 1.024599+0 3.616314-6 1.267508+0 3.620721-6 1.556946+0 3.625128-6 1.897740+0 3.628482-6 2.194301+0 3.632793-6 2.626152+0 3.636282-6 3.019381+0 3.638771-6 3.324596+0 3.642503-6 3.821959+0 3.646236-6 4.367254+0 3.650258-6 5.008256+0 3.651599-6 5.233998+0 3.660543-6 6.884090+0 3.661661-6 7.106476+0 3.669486-6 8.742022+0 3.672561-6 9.412995+0 3.678430-6 1.071382+1 3.681037-6 1.129139+1 3.683401-6 1.181083+1 3.687280-6 1.264546+1 3.690250-6 1.326232+1 3.692675-6 1.374698+1 3.695859-6 1.435087+1 3.699952-6 1.506224+1 3.703769-6 1.564715+1 3.705821-6 1.592623+1 3.711062-6 1.651338+1 3.715154-6 1.683564+1 3.719460-6 1.703650+1 3.723529-6 1.709145+1 3.732373-6 1.675811+1 3.734819-6 1.656029+1 3.741567-6 1.579800+1 3.745357-6 1.524472+1 3.748315-6 1.475901+1 3.752542-6 1.399483+1 3.755939-6 1.333152+1 3.757977-6 1.291666+1 3.760450-6 1.239968+1 3.763696-6 1.170422+1 3.767870-6 1.079341+1 3.772342-6 9.813104+0 3.776255-6 8.965077+0 3.777931-6 8.607202+0 3.781844-6 7.790541+0 3.785757-6 7.006123+0 3.794701-6 5.367653+0 3.797743-6 4.866449+0 3.801214-6 4.331611+0 3.806420-6 3.605015+0 3.810325-6 3.119435+0 3.814756-6 2.628458+0 3.817666-6 2.339375+0 3.821826-6 1.969857+0 3.825837-6 1.659201+0 3.829483-6 1.412749+0 3.834680-6 1.115226+0 3.836412-6 1.028868+0 3.841031-6 8.267330-1 3.845650-6 6.613081-1 3.854888-6 4.207987-1 3.864126-6 2.725719-1 3.866436-6 2.466867-1 3.869900-6 2.148727-1 3.873365-6 1.906945-1 3.875674-6 1.784629-1 3.879138-6 1.655438-1 3.880871-6 1.614201-1 3.882603-6 1.588086-1 3.886644-6 1.585086-1 3.890379-6 1.654659-1 3.891841-6 1.701254-1 3.892689-6 1.733421-1 3.893738-6 1.778514-1 3.897943-6 2.020822-1 3.900289-6 2.201353-1 3.901079-6 2.269984-1 3.905707-6 2.756808-1 3.909163-6 3.223710-1 3.914936-6 4.231503-1 3.923062-6 6.224822-1 3.927663-6 7.708269-1 3.932471-6 9.574823-1 3.936310-6 1.132212+0 3.938032-6 1.218448+0 3.945748-6 1.669618+0 3.949606-6 1.937197+0 3.953464-6 2.234162+0 3.957849-6 2.608136+0 3.962235-6 3.020959+0 3.966505-6 3.459614+0 3.972907-6 4.181128+0 3.974126-6 4.326639+0 3.982662-6 5.406445+0 3.986015-6 5.854259+0 3.992416-6 6.730719+0 3.995090-6 7.100313+0 3.999286-6 7.677629+0 4.001289-6 7.949882+0 4.004293-6 8.351493+0 4.007297-6 8.741976+0 4.011043-6 9.208179+0 4.014103-6 9.567470+0 4.018119-6 1.000340+1 4.022798-6 1.045083+1 4.028429-6 1.088789+1 4.032544-6 1.112827+1 4.034447-6 1.121513+1 4.038662-6 1.135031+1 4.041190-6 1.139258+1 4.044705-6 1.140207+1 4.051650-6 1.125250+1 4.054985-6 1.110319+1 4.059628-6 1.081620+1 4.063639-6 1.049944+1 4.066418-6 1.024586+1 4.072568-6 9.598223+0 4.077180-6 9.048158+0 4.081060-6 8.553289+0 4.085211-6 8.000738+0 4.088389-6 7.567485+0 4.092931-6 6.942103+0 4.097675-6 6.292494+0 4.099439-6 6.054433+0 4.104457-6 5.394392+0 4.109474-6 4.768811+0 4.114617-6 4.173466+0 4.119794-6 3.629081+0 4.130030-6 2.732450+0 4.138799-6 2.159216+0 4.143092-6 1.941022+0 4.144539-6 1.876099+0 4.149435-6 1.686612+0 4.152294-6 1.596007+0 4.155022-6 1.522026+0 4.157889-6 1.456333+0 4.160217-6 1.411238+0 4.162853-6 1.368223+0 4.165976-6 1.327106+0 4.169454-6 1.292080+0 4.173262-6 1.264415+0 4.176061-6 1.249779+0 4.180100-6 1.235077+0 4.186875-6 1.221264+0 4.199788-6 1.203897+0 4.210910-6 1.175629+0 4.215813-6 1.157261+0 4.223713-6 1.121708+0 4.239705-6 1.046016+0 4.245322-6 1.025794+0 4.250828-6 1.012760+0 4.256394-6 1.008416+0 4.261067-6 1.012904+0 4.265919-6 1.026410+0 4.268707-6 1.038550+0 4.272413-6 1.059870+0 4.282445-6 1.148459+0 4.287765-6 1.213890+0 4.291148-6 1.261949+0 4.298760-6 1.387188+0 4.315110-6 1.718758+0 4.321169-6 1.853655+0 4.327817-6 2.001629+0 4.332906-6 2.111189+0 4.338394-6 2.222104+0 4.344113-6 2.326068+0 4.349146-6 2.404901+0 4.355684-6 2.485991+0 4.360666-6 2.529621+0 4.362438-6 2.541112+0 4.368481-6 2.563975+0 4.373207-6 2.564254+0 4.375535-6 2.558844+0 4.381629-6 2.528269+0 4.387242-6 2.481027+0 4.394116-6 2.402634+0 4.400696-6 2.312099+0 4.408433-6 2.195029+0 4.425047-6 1.951424+0 4.429181-6 1.900433+0 4.436656-6 1.823993+0 4.441796-6 1.784838+0 4.454080-6 1.739007+0 4.459098-6 1.739281+0 4.468184-6 1.764614+0 4.475170-6 1.802158+0 4.484165-6 1.866758+0 4.502746-6 2.022036+0 4.512281-6 2.095078+0 4.515699-6 2.118250+0 4.525654-6 2.174378+0 4.530583-6 2.195488+0 4.541396-6 2.226764+0 4.546353-6 2.234979+0 4.558041-6 2.242994+0 4.590040-6 2.232572+0 4.610912-6 2.218598+0 4.622966-6 2.199668+0 4.634765-6 2.166839+0 4.644157-6 2.128630+0 4.654899-6 2.071915+0 4.663231-6 2.019707+0 4.669123-6 1.979469+0 4.679127-6 1.907098+0 4.711391-6 1.675725+0 4.725325-6 1.590835+0 4.735845-6 1.535206+0 4.745766-6 1.489339+0 4.762509-6 1.425100+0 4.771724-6 1.395876+0 4.789185-6 1.350222+0 4.807097-6 1.313985+0 4.830860-6 1.278484+0 4.849445-6 1.258731+0 4.870432-6 1.244183+0 4.889161-6 1.239477+0 4.904075-6 1.243788+0 4.915990-6 1.254584+0 4.925101-6 1.268576+0 4.934213-6 1.288585+0 4.945006-6 1.321338+0 4.952747-6 1.351596+0 4.957354-6 1.372485+0 4.980604-6 1.512996+0 4.991070-6 1.595900+0 5.002250-6 1.697756+0 5.013324-6 1.811682+0 5.029159-6 1.995812+0 5.080088-6 2.739058+0 5.120000-6 3.473672+0 5.172009-6 4.653706+0 5.205288-6 5.568879+0 5.278372-6 8.153391+0 5.336675-6 1.098766+1 5.393554-6 1.471409+1 5.421907-6 1.705573+1 5.445929-6 1.936640+1 5.466254-6 2.160414+1 5.488001-6 2.434263+1 5.519082-6 2.902378+1 5.539062-6 3.263323+1 5.559043-6 3.684091+1 5.577297-6 4.133561+1 5.590157-6 4.496065+1 5.607882-6 5.072960+1 5.624112-6 5.700377+1 5.634046-6 6.143744+1 5.652673-6 7.135275+1 5.668971-6 8.236060+1 5.683232-6 9.453408+1 5.695710-6 1.078574+2 5.708563-6 1.250549+2 5.716182-6 1.373344+2 5.724541-6 1.529561+2 5.733795-6 1.732925+2 5.743856-6 1.996048+2 5.757332-6 2.427832+2 5.783947-6 3.590461+2 5.792287-6 4.043916+2 5.797292-6 4.335452+2 5.804409-6 4.773211+2 5.811526-6 5.234859+2 5.825760-6 6.209300+2 5.827539-6 6.333921+2 5.839994-6 7.205138+2 5.844887-6 7.539939+2 5.854229-6 8.151024+2 5.859122-6 8.449920+2 5.863792-6 8.717484+2 5.868463-6 8.964704+2 5.874690-6 9.257752+2 5.880696-6 9.495323+2 5.888925-6 9.739822+2 5.895430-6 9.860424+2 5.898711-6 9.895467+2 5.906495-6 9.907060+2 5.912472-6 9.846613+2 5.919744-6 9.692296+2 5.926060-6 9.488461+2 5.930500-6 9.308229+2 5.937467-6 8.968298+2 5.943886-6 8.599182+2 5.948495-6 8.305275+2 5.955175-6 7.843064+2 5.959984-6 7.488734+2 5.963536-6 7.217899+2 5.968992-6 6.790820+2 5.974674-6 6.337441+2 5.981259-6 5.809388+2 5.988565-6 5.231808+2 5.995445-6 4.706839+2 6.005468-6 3.996199+2 6.019202-6 3.171428+2 6.025485-6 2.866315+2 6.027962-6 2.760124+2 6.033618-6 2.549707+2 6.036446-6 2.461930+2 6.039719-6 2.375498+2 6.042197-6 2.321197+2 6.043865-6 2.290182+2 6.046085-6 2.255946+2 6.053508-6 2.201997+2 6.056366-6 2.206966+2 6.058661-6 2.221688+2 6.061659-6 2.255624+2 6.064748-6 2.308427+2 6.067917-6 2.381861+2 6.070977-6 2.471706+2 6.072274-6 2.515550+2 6.074788-6 2.610389+2 6.079502-6 2.824159+2 6.087751-6 3.315510+2 6.093938-6 3.786588+2 6.102058-6 4.545291+2 6.115588-6 6.183303+2 6.123060-6 7.297322+2 6.127544-6 8.038932+2 6.135066-6 9.406975+2 6.142589-6 1.092824+3 6.158574-6 1.463950+3 6.160337-6 1.508518+3 6.173619-6 1.863233+3 6.178468-6 1.999463+3 6.187724-6 2.265617+3 6.195364-6 2.487654+3 6.199067-6 2.594788+3 6.204650-6 2.754420+3 6.210410-6 2.915114+3 6.217815-6 3.112828+3 6.224397-6 3.277244+3 6.231670-6 3.443163+3 6.233800-6 3.488160+3 6.242616-6 3.654598+3 6.249920-6 3.765835+3 6.257886-6 3.856723+3 6.265067-6 3.909730+3 6.270041-6 3.929859+3 6.277498-6 3.934351+3 6.282579-6 3.919902+3 6.293981-6 3.837707+3 6.301143-6 3.753103+3 6.308085-6 3.649241+3 6.315726-6 3.512952+3 6.323131-6 3.362148+3 6.329713-6 3.215486+3 6.336060-6 3.065277+3 6.345698-6 2.825793+3 6.353221-6 2.633630+3 6.361684-6 2.416500+3 6.368266-6 2.249560+3 6.383311-6 1.883985+3 6.388483-6 1.765665+3 6.398356-6 1.552806+3 6.411521-6 1.298552+3 6.430759-6 9.911120+2 6.449495-6 7.616598+2 6.461864-6 6.434676+2 6.468012-6 5.932779+2 6.475823-6 5.367941+2 6.486338-6 4.721111+2 6.498443-6 4.112882+2 6.510454-6 3.626568+2 6.522371-6 3.235416+2 6.534195-6 2.917878+2 6.545927-6 2.657063+2 6.557566-6 2.439998+2 6.569115-6 2.256870+2 6.580574-6 2.100321+2 6.591943-6 1.964851+2 6.616450-6 1.723853+2 6.636713-6 1.563609+2 6.658574-6 1.419486+2 6.680094-6 1.299946+2 6.701277-6 1.199243+2 6.722130-6 1.113329+2 6.742656-6 1.039243+2 6.768131-6 9.591418+1 6.782753-6 9.181474+1 6.821912-6 8.228347+1 6.859847-6 7.465488+1 6.896597-6 6.842589+1 6.934508-6 6.294833+1 6.966687-6 5.891241+1 7.011507-6 5.404718+1 7.063820-6 4.925159+1 7.124571-6 4.460297+1 7.181525-6 4.094418+1 7.234920-6 3.800412+1 7.284977-6 3.560138+1 7.349368-6 3.291242+1 7.419897-6 3.037218+1 7.496890-6 2.799515+1 7.584954-6 2.568165+1 7.623206-6 2.478766+1 7.742946-6 2.232084+1 7.803733-6 2.122837+1 7.933286-6 1.919451+1 8.114955-6 1.679070+1 8.431422-6 1.324415+1 8.533009-6 1.211408+1 8.609199-6 1.120406+1 8.666342-6 1.043629+1 8.709199-6 9.775313+0 8.741341-6 9.210940+0 8.765448-6 8.743486+0 8.797089-6 8.081203+0 8.837770-6 7.226714+0 8.859523-6 6.843760+0 8.870399-6 6.695682+0 8.881276-6 6.588801+0 8.891606-6 6.534761+0 8.903029-6 6.540203+0 8.924782-6 6.784575+0 8.931551-6 6.933786+0 8.934285-6 7.004945+0 8.953427-6 7.690954+0 8.960947-6 8.055342+0 8.976670-6 8.997877+0 8.987085-6 9.756923+0 9.007284-6 1.151969+1 9.031422-6 1.405150+1 9.040931-6 1.514128+1 9.051870-6 1.643298+1 9.062808-6 1.774274+1 9.075113-6 1.920622+1 9.084684-6 2.031444+1 9.106560-6 2.265197+1 9.109295-6 2.291812+1 9.128436-6 2.457159+1 9.135956-6 2.510857+1 9.150312-6 2.593731+1 9.160567-6 2.636419+1 9.169460-6 2.662099+1 9.175222-6 2.673147+1 9.184643-6 2.681935+1 9.194065-6 2.679629+1 9.205003-6 2.663898+1 9.215941-6 2.635370+1 9.232348-6 2.571913+1 9.237817-6 2.546084+1 9.259693-6 2.425175+1 9.272830-6 2.343101+1 9.292508-6 2.213996+1 9.355440-6 1.824037+1 9.366637-6 1.765193+1 9.389030-6 1.659371+1 9.410583-6 1.571956+1 9.440609-6 1.470838+1 9.478604-6 1.369372+1 9.545784-6 1.232032+1 9.650642-6 1.058213+1 9.669176-6 1.031624+1 9.698149-6 9.953918+0 9.723994-6 9.711220+0 9.740574-6 9.608684+0 9.764373-6 9.549102+0 9.776273-6 9.561833+0 9.795373-6 9.644080+0 9.807973-6 9.739472+0 9.817423-6 9.831350+0 9.838685-6 1.009469+1 9.866155-6 1.052139+1 9.907170-6 1.121148+1 9.930969-6 1.156054+1 9.938087-6 1.164938+1 9.959441-6 1.186043+1 9.972103-6 1.194155+1 9.981600-6 1.197945+1 9.995844-6 1.199911+1 1.001009-5 1.197542+1 1.003070-5 1.187133+1 1.004997-5 1.171215+1 1.007449-5 1.144978+1 1.013003-5 1.079195+1 1.015339-5 1.055542+1 1.016779-5 1.043287+1 1.018938-5 1.028595+1 1.021097-5 1.018242+1 1.023610-5 1.010900+1 1.028440-5 1.005769+1 1.034607-5 1.002404+1 1.041095-5 9.919700+0 1.127351-5 8.039584+0 1.154936-5 7.509605+0 1.182764-5 6.998850+0 1.207476-5 6.599611+0 1.235176-5 6.159678+0 1.262476-5 5.724078+0 1.291962-5 5.250034+0 1.314944-5 4.879101+0 1.342429-5 4.445602+0 1.366686-5 4.077068+0 1.400393-5 3.587084+0 1.438307-5 3.057815+0 1.471777-5 2.613575+0 1.511506-5 2.128153+0 1.549294-5 1.698867+0 1.578305-5 1.365768+0 1.594043-5 1.190845+0 1.616095-5 9.573888-1 1.634698-5 7.715112-1 1.650384-5 6.235939-1 1.666974-5 4.778477-1 1.682647-5 3.528714-1 1.697109-5 2.513564-1 1.710778-5 1.701392-1 1.723594-5 1.095475-1 1.729586-5 8.727476-2 1.735608-5 6.930442-2 1.746872-5 4.907877-2 1.757431-5 4.851900-2 1.764385-5 5.960557-2 1.767331-5 6.739257-2 1.776612-5 1.053910-1 1.785312-5 1.621196-1 1.794351-5 2.467122-1 1.797293-5 2.806471-1 1.800997-5 3.282261-1 1.806644-5 4.115007-1 1.811429-5 4.920004-1 1.817852-5 6.117145-1 1.823880-5 7.293961-1 1.829536-5 8.337748-1 1.834845-5 9.145266-1 1.840996-5 9.723911-1 1.844723-5 9.834849-1 1.850360-5 9.625802-1 1.855347-5 9.081263-1 1.860842-5 8.165679-1 1.865837-5 7.144636-1 1.869289-5 6.390785-1 1.871890-5 5.821633-1 1.874636-5 5.238853-1 1.879624-5 4.287130-1 1.881886-5 3.926859-1 1.884007-5 3.644835-1 1.885996-5 3.439764-1 1.889725-5 3.248602-1 1.892987-5 3.345741-1 1.895842-5 3.694100-1 1.898340-5 4.253433-1 1.900525-5 4.982684-1 1.902438-5 5.841732-1 1.905784-5 7.960482-1 1.908294-5 1.019439+0 1.910177-5 1.232382+0 1.915824-5 2.186798+0 1.918182-5 2.771940+0 1.920540-5 3.503663+0 1.922898-5 4.413393+0 1.925256-5 5.537928+0 1.927613-5 6.919782+0 1.929971-5 8.607349+0 1.932329-5 1.065485+1 1.934687-5 1.312197+1 1.937044-5 1.607313+1 1.939402-5 1.957626+1 1.940581-5 2.155662+1 1.942349-5 2.483773+1 1.944118-5 2.851723+1 1.946150-5 3.327454+1 1.948764-5 4.027954+1 1.950609-5 4.586284+1 1.952085-5 5.071959+1 1.953560-5 5.593189+1 1.955959-5 6.516725+1 1.958357-5 7.533519+1 1.963154-5 9.826155+1 1.963753-5 1.013427+2 1.967950-5 1.239251+2 1.969599-5 1.331425+2 1.972747-5 1.509128+2 1.974381-5 1.600699+2 1.976130-5 1.696827+2 1.977558-5 1.773118+2 1.979432-5 1.869069+2 1.981240-5 1.955830+2 1.983166-5 2.040585+2 1.984903-5 2.109002+2 1.987137-5 2.184112+2 1.989685-5 2.249966+2 1.991775-5 2.286767+2 1.992918-5 2.300000+2 1.995301-5 2.311544+2 1.997282-5 2.304591+2 1.998962-5 2.287148+2 2.001166-5 2.248877+2 2.003245-5 2.197905+2 2.004015-5 2.175681+2 2.006888-5 2.078615+2 2.008934-5 1.998173+2 2.011145-5 1.903382+2 2.013576-5 1.793180+2 2.016687-5 1.648958+2 2.023452-5 1.358426+2 2.025871-5 1.272086+2 2.028396-5 1.195678+2 2.030496-5 1.143959+2 2.031474-5 1.123699+2 2.033369-5 1.091432+2 2.035548-5 1.065666+2 2.037394-5 1.053004+2 2.039080-5 1.048361+2 2.040397-5 1.049012+2 2.045015-5 1.076470+2 2.048068-5 1.110809+2 2.055815-5 1.220073+2 2.058214-5 1.251756+2 2.063313-5 1.302875+2 2.063892-5 1.306864+2 2.068411-5 1.322782+2 2.070151-5 1.321339+2 2.071730-5 1.316320+2 2.074320-5 1.300586+2 2.076435-5 1.281132+2 2.079211-5 1.247336+2 2.081888-5 1.206911+2 2.085252-5 1.147149+2 2.087724-5 1.098308+2 2.091432-5 1.019754+2 2.092668-5 9.926578+1 2.097612-5 8.826979+1 2.100084-5 8.281097+1 2.103792-5 7.484609+1 2.108089-5 6.612591+1 2.111130-5 6.036977+1 2.116935-5 5.044763+1 2.121960-5 4.301877+1 2.137035-5 2.656989+1 2.144215-5 2.122752+1 2.151640-5 1.694375+1 2.156910-5 1.450670+1 2.162180-5 1.246715+1 2.172720-5 9.287097+0 2.184898-5 6.625739+0 2.193800-5 5.120728+0 2.204340-5 3.674395+0 2.209610-5 3.071696+0 2.214880-5 2.554040+0 2.220268-5 2.125689+0 2.222785-5 1.965892+0 2.225420-5 1.829511+0 2.227243-5 1.755131+0 2.230569-5 1.664856+0 2.233895-5 1.637756+0 2.235574-5 1.649502+0 2.237252-5 1.678899+0 2.242732-5 1.900617+0 2.244102-5 1.986116+0 2.248212-5 2.311757+0 2.250236-5 2.507825+0 2.255957-5 3.167488+0 2.259115-5 3.580581+0 2.261533-5 3.909464+0 2.263507-5 4.180766+0 2.264988-5 4.383215+0 2.266932-5 4.644361+0 2.268806-5 4.887835+0 2.271761-5 5.246337+0 2.272701-5 5.352099+0 2.275153-5 5.604918+0 2.276653-5 5.741054+0 2.279045-5 5.925002+0 2.280839-5 6.034021+0 2.282121-5 6.095770+0 2.286905-5 6.201683+0 2.288784-5 6.188674+0 2.292372-5 6.080892+0 2.293310-5 6.035668+0 2.294952-5 5.940760+0 2.297414-5 5.763888+0 2.299877-5 5.551306+0 2.301252-5 5.419808+0 2.303313-5 5.209080+0 2.305375-5 4.986646+0 2.308775-5 4.608305+0 2.314242-5 4.022653+0 2.319709-5 3.545717+0 2.323522-5 3.318330+0 2.325483-5 3.242321+0 2.326416-5 3.216672+0 2.329213-5 3.181669+0 2.331179-5 3.195321+0 2.333533-5 3.253045+0 2.335299-5 3.325180+0 2.336536-5 3.389877+0 2.338481-5 3.514006+0 2.340460-5 3.666333+0 2.342348-5 3.833780+0 2.345761-5 4.181850+0 2.351835-5 4.893597+0 2.355568-5 5.347230+0 2.356429-5 5.449885+0 2.359330-5 5.782823+0 2.361505-5 6.014449+0 2.364276-5 6.279241+0 2.366317-5 6.448097+0 2.367261-5 6.517753+0 2.372504-5 6.797417+0 2.373253-5 6.821591+0 2.378496-5 6.876079+0 2.380920-5 6.834380+0 2.383293-5 6.754787+0 2.385546-5 6.646186+0 2.387214-5 6.546764+0 2.390133-5 6.338253+0 2.392322-5 6.157108+0 2.395606-5 5.854300+0 2.398923-5 5.522069+0 2.403371-5 5.057510+0 2.406770-5 4.704190+0 2.413085-5 4.092631+0 2.418511-5 3.646560+0 2.421231-5 3.457684+0 2.424921-5 3.241069+0 2.429390-5 3.039681+0 2.432679-5 2.931752+0 2.436893-5 2.838103+0 2.440081-5 2.795922+0 2.442548-5 2.777425+0 2.446131-5 2.768330+0 2.451235-5 2.781645+0 2.457600-5 2.821693+0 2.469222-5 2.900493+0 2.477215-5 2.933733+0 2.485870-5 2.948067+0 2.516535-5 2.946950+0 2.534995-5 2.969529+0 2.552858-5 3.011229+0 2.571025-5 3.074041+0 2.587500-5 3.152385+0 2.602618-5 3.244515+0 2.610492-5 3.300397+0 2.630873-5 3.469429+0 2.651427-5 3.674969+0 2.672141-5 3.920168+0 2.703851-5 4.375903+0 2.713894-5 4.542243+0 2.734526-5 4.919139+0 2.770000-5 5.680311+0 2.792904-5 6.251926+0 2.870000-5 8.645383+0 2.903224-5 9.877670+0 3.069901-5 1.841605+1 3.162278-5 2.541383+1 3.223445-5 3.108454+1 3.300000-5 3.948462+1 3.360357-5 4.725018+1 3.406349-5 5.390986+1 3.476519-5 6.534480+1 3.548369-5 7.866627+1 3.609940-5 9.150822+1 3.677704-5 1.072092+2 3.745467-5 1.244410+2 3.816600-5 1.442605+2 3.869950-5 1.602324+2 3.951010-5 1.863054+2 4.030000-5 2.137208+2 4.120287-5 2.470095+2 4.163949-5 2.638295+2 4.236942-5 2.927970+2 4.307898-5 3.216155+2 4.385000-5 3.532457+2 4.460000-5 3.840245+2 4.536450-5 4.152116+2 4.610441-5 4.447693+2 4.690757-5 4.759211+2 4.754507-5 4.996776+2 4.846439-5 5.322830+2 4.954502-5 5.677957+2 5.013750-5 5.858956+2 5.110000-5 6.130741+2 5.207073-5 6.372439+2 5.322050-5 6.619711+2 5.425000-5 6.806962+2 5.530853-5 6.962493+2 5.650000-5 7.096988+2 5.705002-5 7.143440+2 5.833611-5 7.222185+2 5.942772-5 7.261735+2 6.058222-5 7.273946+2 6.165950-5 7.259907+2 6.237348-5 7.238282+2 6.356663-5 7.181590+2 6.456543-5 7.114282+2 6.569447-5 7.020905+2 6.692340-5 6.901268+2 6.839888-5 6.735006+2 6.962195-5 6.583074+2 7.098163-5 6.401972+2 7.244768-5 6.197265+2 7.372800-5 6.013015+2 7.520557-5 5.796513+2 7.649322-5 5.604015+2 7.932258-5 5.183697+2 8.114038-5 4.974449+2 8.153559-5 4.912416+2 8.230000-5 4.762404+2 8.268923-5 4.680524+2 8.351474-5 4.527172+2 8.403860-5 4.458864+2 8.482064-5 4.399075+2 8.674512-5 4.301909+2 8.790959-5 4.221866+2 8.858195-5 4.161469+2 8.985805-5 4.025501+2 9.085747-5 3.934608+2 9.376272-5 3.778893+2 9.517409-5 3.698284+2 9.837633-5 3.504939+2 1.174900-4 2.572607+2 1.210113-4 2.450347+2 1.231269-4 2.388724+2 1.246528-4 2.328814+2 1.268693-4 2.239035+2 1.276273-4 2.215482+2 1.293666-4 2.181742+2 1.340000-4 2.118800+2 1.400480-4 2.027929+2 1.447500-4 1.966435+2 1.488377-4 1.919923+2 1.555798-4 1.857016+2 1.656902-4 1.787454+2 1.761768-4 1.740414+2 1.883649-4 1.707687+2 2.000000-4 1.689358+2 2.440619-4 1.662307+2 2.555642-4 1.652501+2 2.707073-4 1.634112+2 2.823600-4 1.613338+2 2.968247-4 1.578593+2 3.149338-4 1.517971+2 3.294586-4 1.453765+2 3.425181-4 1.382669+2 3.533555-4 1.313821+2 3.651741-4 1.227079+2 3.742718-4 1.151588+2 3.841879-4 1.059929+2 3.912911-4 9.878429+1 3.968249-4 9.275530+1 4.036018-4 8.484266+1 4.109131-4 7.567986+1 4.125939-4 7.349197+1 4.181654-4 6.599290+1 4.224747-4 5.995484+1 4.254781-4 5.562672+1 4.301790-4 4.868080+1 4.355745-4 4.060456+1 4.377883-4 3.738169+1 4.466808-4 2.650531+1 4.481195-4 2.514951+1 4.496624-4 2.385063+1 4.511963-4 2.275744+1 4.526564-4 2.195396+1 4.537603-4 2.154160+1 4.548657-4 2.133745+1 4.559500-4 2.138437+1 4.568000-4 2.162673+1 4.574172-4 2.193484+1 4.579500-4 2.230179+1 4.585000-4 2.278924+1 4.591000-4 2.346014+1 4.596000-4 2.414124+1 4.600111-4 2.479168+1 4.605000-4 2.567993+1 4.610400-4 2.681725+1 4.617338-4 2.854088+1 4.621207-4 2.964082+1 4.629496-4 3.236076+1 4.639498-4 3.636654+1 4.649078-4 4.102662+1 4.655000-4 4.434563+1 4.663909-4 5.001473+1 4.697097-4 7.909354+1 4.705750-4 8.890522+1 4.715749-4 1.014421+2 4.726248-4 1.159954+2 4.738499-4 1.347554+2 4.755000-4 1.629417+2 4.768124-4 1.875907+2 4.778343-4 2.080269+2 4.793671-4 2.404705+2 4.809000-4 2.746903+2 4.819749-4 2.994984+2 4.830498-4 3.247824+2 4.839291-4 3.456982+2 4.851968-4 3.760135+2 4.863500-4 4.035410+2 4.870984-4 4.212803+2 4.880492-4 4.435738+2 4.890000-4 4.654985+2 4.900500-4 4.891653+2 4.911243-4 5.126655+2 4.929000-4 5.496330+2 4.945000-4 5.806419+2 4.958000-4 6.040628+2 4.973000-4 6.289880+2 4.990914-4 6.557027+2 5.000000-4 6.679673+2 5.020000-4 6.919456+2 5.035000-4 7.072943+2 5.050000-4 7.205245+2 5.066260-4 7.326728+2 5.093750-4 7.487256+2 5.114375-4 7.577279+2 5.135000-4 7.646829+2 5.174170-4 7.737564+2 5.242880-4 7.823064+2 5.623413-4 8.158609+2 5.848221-4 8.289316+2 5.985155-4 8.351699+2 6.108137-4 8.385464+2 6.237392-4 8.388696+2 6.332076-4 8.356349+2 6.477656-4 8.232548+2 6.520532-4 8.219398+2 6.555507-4 8.251622+2 6.592795-4 8.346531+2 6.620151-4 8.456888+2 6.720693-4 8.997041+2 6.774867-4 9.237507+2 6.826559-4 9.393859+2 6.940623-4 9.625313+2 7.000000-4 9.785536+2 7.108538-4 1.016849+3 7.191126-4 1.042058+3 7.271300-4 1.059364+3 7.381786-4 1.075962+3 7.522634-4 1.091561+3 7.691076-4 1.105416+3 7.912788-4 1.116830+3 7.967979-4 1.122253+3 8.164496-4 1.153054+3 8.271383-4 1.170782+3 8.355894-4 1.182706+3 8.490585-4 1.196935+3 8.656528-4 1.210432+3 8.975434-4 1.229792+3 9.508784-4 1.251871+3 1.000916-3 1.265912+3 1.062734-3 1.275833+3 1.143207-3 1.276254+3 1.262554-3 1.267330+3 1.386357-3 1.251882+3 1.487062-3 1.233338+3 1.676390-3 1.193793+3 1.837861-3 1.155685+3 2.007856-3 1.114998+3 2.207528-3 1.065252+3 2.316336-3 1.038543+3 2.427802-3 1.009309+3 2.550800-3 9.770642+2 2.668394-3 9.462197+2 2.785338-3 9.139559+2 2.900925-3 8.807597+2 3.003325-3 8.505136+2 3.096973-3 8.214377+2 3.180706-3 7.926655+2 3.257569-3 7.648056+2 3.322051-3 7.397918+2 3.371417-3 7.191214+2 3.426137-3 6.941127+2 3.471973-3 6.708770+2 3.511929-3 6.481111+2 3.541393-3 6.290373+2 3.568618-3 6.089576+2 3.593017-3 5.881737+2 3.613839-3 5.673871+2 3.630781-3 5.477353+2 3.643567-3 5.311882+2 3.670616-3 4.935627+2 3.686535-3 4.733813+2 3.698354-3 4.618388+2 3.705093-3 4.571933+2 3.710396-3 4.547048+2 3.716285-3 4.532407+2 3.723793-3 4.534337+2 3.733605-3 4.571332+2 3.739045-3 4.607591+2 3.750484-3 4.714871+2 3.765227-3 4.896666+2 3.786333-3 5.182700+2 3.802662-3 5.380636+2 3.813685-3 5.490401+2 3.826137-3 5.587636+2 3.839222-3 5.659729+2 3.853843-3 5.708260+2 3.868162-3 5.730998+2 3.904157-3 5.757499+2 3.913615-3 5.776737+2 3.924220-3 5.812438+2 3.934093-3 5.861411+2 3.943481-3 5.922658+2 3.953735-3 6.004827+2 3.975335-3 6.216174+2 3.995646-3 6.431999+2 4.010637-3 6.582335+2 4.025042-3 6.710597+2 4.038488-3 6.813053+2 4.057159-3 6.927686+2 4.079576-3 7.027973+2 4.102548-3 7.096838+2 4.141483-3 7.162108+2 4.175244-3 7.213210+2 4.205843-3 7.305322+2 4.229120-3 7.416571+2 4.285510-3 7.750025+2 4.306046-3 7.858205+2 4.326704-3 7.951140+2 4.351886-3 8.044526+2 4.378134-3 8.123889+2 4.416544-3 8.217857+2 4.501542-3 8.368372+2 4.594100-3 8.472868+2 4.705416-3 8.543492+2 4.885469-3 8.581444+2 5.063860-3 8.551341+2 5.249128-3 8.478103+2 5.479615-3 8.344662+2 5.787620-3 8.125552+2 6.095369-3 7.881447+2 6.588457-3 7.475012+2 7.226138-3 6.955594+2 7.977650-3 6.384375+2 8.941260-3 5.734870+2 1.017053-2 5.038168+2 1.172444-2 4.329252+2 1.269843-2 3.955818+2 1.372461-2 3.609321+2 1.481772-2 3.283064+2 1.599788-2 2.971531+2 1.724566-2 2.681132+2 1.865440-2 2.393528+2 2.007143-2 2.140818+2 2.158865-2 1.903759+2 2.291128-2 1.719444+2 2.397523-2 1.582296+2 2.483133-2 1.476167+2 2.550819-2 1.392440+2 2.605842-2 1.321924+2 2.648760-2 1.262666+2 2.671195-2 1.228578+2 2.687084-2 1.202085+2 2.700515-2 1.177331+2 2.711602-2 1.154656+2 2.726035-2 1.121453+2 2.749834-2 1.059853+2 2.764459-2 1.024686+2 2.774646-2 1.006270+2 2.783027-2 9.968840+1 2.790713-2 9.936204+1 2.800794-2 9.971876+1 2.812432-2 1.010826+2 2.829913-2 1.042586+2 2.845677-2 1.072916+2 2.858028-2 1.093299+2 2.874656-2 1.114122+2 2.892759-2 1.129129+2 2.919475-2 1.141584+2 2.950776-2 1.147992+2 2.990008-2 1.149366+2 3.057851-2 1.142032+2 3.122136-2 1.128405+2 3.226708-2 1.099032+2 3.354310-2 1.058023+2 3.532419-2 9.987767+1 3.729750-2 9.349281+1 4.017956-2 8.471779+1 4.375378-2 7.506212+1 4.845209-2 6.441314+1 5.250690-2 5.681309+1 5.656924-2 5.033967+1 6.222730-2 4.287794+1 7.078559-2 3.431385+1 8.685679-2 2.388046+1 1.118302-1 1.517728+1 1.364935-1 1.054372+1 1.722132-1 6.847563+0 2.084965-1 4.774101+0 2.732936-1 2.840964+0 3.904474-1 1.420664+0 5.835280-1 6.459392-1 9.633741-1 2.395241-1 2.039158+0 5.377540-2 6.158159+0 5.905792-3 1.859734+1 6.476733-4 5.616308+1 7.101737-5 1.696098+2 7.786916-6 5.122134+2 8.538186-7 1.584893+3 8.917999-8 5.011872+3 8.917999-9 1.584893+4 8.91800-10 5.011872+4 8.91800-11 1.000000+5 2.24010-11 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.328500-6 1.258900-6 2.105500-6 1.584900-6 3.337100-6 1.995300-6 5.288900-6 2.511900-6 8.382300-6 3.162300-6 1.328500-5 3.981100-6 2.105500-5 5.011900-6 3.337000-5 6.309600-6 5.288700-5 7.943300-6 8.382000-5 1.000000-5 1.328400-4 1.258900-5 2.105400-4 1.584900-5 3.336800-4 1.995300-5 5.288300-4 2.511900-5 8.381200-4 3.162300-5 1.328100-3 3.981100-5 2.103900-3 5.011900-5 3.332800-3 6.309600-5 5.280200-3 7.943300-5 8.365900-3 1.000000-4 1.324700-2 1.258900-4 2.096500-2 1.584900-4 3.313800-2 1.995300-4 5.232700-2 2.511900-4 8.241700-2 3.162300-4 1.294000-1 3.981100-4 2.020700-1 5.011900-4 3.123500-1 6.309600-4 4.762600-1 7.943300-4 7.125700-1 1.000000-3 1.040800+0 1.258900-3 1.476500+0 1.584900-3 2.028000+0 1.995300-3 2.699900+0 2.511900-3 3.499500+0 3.162300-3 4.444400+0 3.981100-3 5.556200+0 5.011900-3 6.847600+0 6.309600-3 8.329400+0 7.943300-3 1.001200+1 1.000000-2 1.185700+1 1.258900-2 1.372900+1 1.584900-2 1.551900+1 1.995300-2 1.719300+1 2.511900-2 1.871400+1 3.162300-2 2.001700+1 3.981100-2 2.105100+1 5.011900-2 2.162100+1 6.309600-2 2.211200+1 7.943300-2 2.208300+1 1.000000-1 2.170500+1 1.258900-1 2.104200+1 1.584900-1 2.014000+1 1.995300-1 1.906000+1 2.511900-1 1.785700+1 3.162300-1 1.657800+1 3.981100-1 1.527200+1 5.011900-1 1.397300+1 6.309600-1 1.270200+1 7.943300-1 1.147400+1 1.000000+0 1.029900+1 1.258900+0 9.186000+0 1.584900+0 8.141300+0 1.995300+0 7.168700+0 2.511900+0 6.272200+0 3.162300+0 5.453900+0 3.981100+0 4.714400+0 5.011900+0 4.052200+0 6.309600+0 3.465200+0 7.943300+0 2.948800+0 1.000000+1 2.498300+0 1.258900+1 2.108100+0 1.584900+1 1.772300+0 1.995300+1 1.485100+0 2.511900+1 1.240700+0 3.162300+1 1.033700+0 3.981100+1 8.591500-1 5.011900+1 7.125000-1 6.309600+1 5.896900-1 7.943300+1 4.871600-1 1.000000+2 4.018000-1 1.258900+2 3.308900-1 1.584900+2 2.721100-1 1.995300+2 2.235000-1 2.511900+2 1.833500-1 3.162300+2 1.502500-1 3.981100+2 1.230000-1 5.011900+2 1.006000-1 6.309600+2 8.221100-2 7.943300+2 6.712600-2 1.000000+3 5.476700-2 1.258900+3 4.465100-2 1.584900+3 3.637800-2 1.995300+3 2.962000-2 2.511900+3 2.410200-2 3.162300+3 1.960100-2 3.981100+3 1.593100-2 5.011900+3 1.294200-2 6.309600+3 1.050900-2 7.943300+3 8.528600-3 1.000000+4 6.918400-3 1.258900+4 5.609800-3 1.584900+4 4.546800-3 1.995300+4 3.683800-3 2.511900+4 2.983400-3 3.162300+4 2.415300-3 3.981100+4 1.954600-3 5.011900+4 1.581300-3 6.309600+4 1.278900-3 7.943300+4 1.033900-3 1.000000+5 8.356400-4 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510162-4 3.162278-4 3.159549-4 3.981072-4 3.976756-4 5.011872-4 5.005058-4 6.309573-4 6.298831-4 7.943282-4 7.926385-4 1.000000-3 9.973489-4 1.258925-3 1.254778-3 1.584893-3 1.578414-3 1.995262-3 1.985188-3 2.511886-3 2.496199-3 3.162278-3 3.137814-3 3.981072-3 3.942860-3 5.011872-3 4.952148-3 6.309573-3 6.216224-3 7.943282-3 7.797456-3 1.000000-2 9.772829-3 1.258925-2 1.223749-2 1.584893-2 1.530720-2 1.995262-2 1.912085-2 2.511886-2 2.384511-2 3.162278-2 2.967926-2 3.981072-2 3.685792-2 5.011872-2 4.565885-2 6.309573-2 5.642126-2 7.943282-2 6.950655-2 1.000000-1 8.537459-2 1.258925-1 1.045212-1 1.584893-1 1.275212-1 1.995262-1 1.550608-1 2.511886-1 1.879308-1 3.162278-1 2.270110-1 3.981072-1 2.733347-1 5.011872-1 3.280718-1 6.309573-1 3.926452-1 7.943282-1 4.685833-1 1.000000+0 5.580420-1 1.258925+0 6.634881-1 1.584893+0 7.877597-1 1.995262+0 9.348398-1 2.511886+0 1.109366+0 3.162278+0 1.317085+0 3.981072+0 1.565061+0 5.011872+0 1.861847+0 6.309573+0 2.218021+0 7.943282+0 2.646509+0 1.000000+1 3.163141+0 1.258925+1 3.787181+0 1.584893+1 4.542330+0 1.995262+1 5.457539+0 2.511886+1 6.568191+0 3.162278+1 7.918260+0 3.981072+1 9.560864+0 5.011872+1 1.156153+1 6.309573+1 1.400113+1 7.943282+1 1.697878+1 1.000000+2 2.061616+1 1.258925+2 2.506336+1 1.584893+2 3.050495+1 1.995262+2 3.716863+1 2.511886+2 4.533345+1 3.162278+2 5.534609+1 3.981072+2 6.763045+1 5.011872+2 8.271386+1 6.309573+2 1.012430+2 7.943282+2 1.240187+2 1.000000+3 1.520273+2 1.258925+3 1.864923+2 1.584893+3 2.289188+2 1.995262+3 2.811704+2 2.511886+3 3.455624+2 3.162278+3 4.249383+2 3.981072+3 5.228232+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739828-9 3.981072-5 4.341846-9 5.011872-5 6.880966-9 6.309573-5 1.090525-8 7.943282-5 1.728311-8 1.000000-4 2.738561-8 1.258925-4 4.339204-8 1.584893-4 6.873688-8 1.995262-4 1.088762-7 2.511886-4 1.724069-7 3.162278-4 2.728724-7 3.981072-4 4.315655-7 5.011872-4 6.814607-7 6.309573-4 1.074244-6 7.943282-4 1.689778-6 1.000000-3 2.651077-6 1.258925-3 4.147042-6 1.584893-3 6.479132-6 1.995262-3 1.007397-5 2.511886-3 1.568746-5 3.162278-3 2.446375-5 3.981072-3 3.821144-5 5.011872-3 5.972479-5 6.309573-3 9.334951-5 7.943282-3 1.458264-4 1.000000-2 2.271710-4 1.258925-2 3.517659-4 1.584893-2 5.417362-4 1.995262-2 8.317704-4 2.511886-2 1.273759-3 3.162278-2 1.943512-3 3.981072-2 2.952792-3 5.011872-2 4.459878-3 6.309573-2 6.674470-3 7.943282-2 9.926278-3 1.000000-1 1.462541-2 1.258925-1 2.137137-2 1.584893-1 3.096810-2 1.995262-1 4.446541-2 2.511886-1 6.325784-2 3.162278-1 8.921674-2 3.981072-1 1.247725-1 5.011872-1 1.731154-1 6.309573-1 2.383122-1 7.943282-1 3.257450-1 1.000000+0 4.419580-1 1.258925+0 5.954373-1 1.584893+0 7.971335-1 1.995262+0 1.060423+0 2.511886+0 1.402520+0 3.162278+0 1.845193+0 3.981072+0 2.416010+0 5.011872+0 3.150025+0 6.309573+0 4.091553+0 7.943282+0 5.296774+0 1.000000+1 6.836859+0 1.258925+1 8.802074+0 1.584893+1 1.130660+1 1.995262+1 1.449508+1 2.511886+1 1.855067+1 3.162278+1 2.370452+1 3.981072+1 3.024985+1 5.011872+1 3.855719+1 6.309573+1 4.909460+1 7.943282+1 6.245405+1 1.000000+2 7.938384+1 1.258925+2 1.008292+2 1.584893+2 1.279844+2 1.995262+2 1.623576+2 2.511886+2 2.058552+2 3.162278+2 2.608817+2 3.981072+2 3.304767+2 5.011872+2 4.184734+2 6.309573+2 5.297144+2 7.943282+2 6.703095+2 1.000000+3 8.479727+2 1.258925+3 1.072433+3 1.584893+3 1.355974+3 1.995262+3 1.714092+3 2.511886+3 2.166324+3 3.162278+3 2.737339+3 3.981072+3 3.458249+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.580000-6 1.404274+7 4.910000-6 1.204291+7 4.910000-6 1.912184+7 5.128614-6 1.742098+7 5.248075-6 1.656984+7 5.754399-6 1.353213+7 6.309573-6 1.098167+7 6.531306-6 1.014614+7 6.918310-6 8.871610+6 7.244360-6 7.958281+6 7.700000-6 6.875406+6 8.128305-6 6.029491+6 8.511380-6 5.381978+6 9.015711-6 4.661333+6 9.440609-6 4.147348+6 1.000000-5 3.577885+6 1.035142-5 3.269598+6 1.083000-5 2.901978+6 1.083000-5 4.605254+6 1.109175-5 4.197370+6 1.110000-5 4.185289+6 1.150000-5 3.648980+6 1.190000-5 3.198262+6 1.230269-5 2.817000+6 1.258925-5 2.580213+6 1.270000-5 2.496040+6 1.310000-5 2.219883+6 1.350000-5 1.984033+6 1.364583-5 1.906348+6 1.388400-5 1.788061+6 1.396368-5 1.750511+6 1.420000-5 1.645287+6 1.450000-5 1.523887+6 1.485000-5 1.397667+6 1.513561-5 1.305431+6 1.515000-5 1.300996+6 1.548817-5 1.202307+6 1.550000-5 1.199044+6 1.584893-5 1.107920+6 1.621810-5 1.022141+6 1.659587-5 9.441860+5 1.698244-5 8.733024+5 1.710000-5 8.531739+5 1.717908-5 8.400149+5 1.770000-5 7.600134+5 1.800000-5 7.191947+5 1.822000-5 6.914195+5 1.840772-5 6.690507+5 1.860000-5 6.473262+5 1.877000-5 6.290600+5 1.892000-5 6.136358+5 1.905461-5 6.003201+5 1.920000-5 5.864716+5 1.927525-5 5.795275+5 1.935000-5 5.726145+5 1.950000-5 5.591795+5 1.965000-5 5.462687+5 1.980000-5 5.338577+5 1.995262-5 5.217189+5 2.010000-5 5.104436+5 2.025000-5 4.993979+5 2.041738-5 4.875607+5 2.055000-5 4.785310+5 2.070000-5 4.686735+5 2.090000-5 4.560892+5 2.113489-5 4.420794+5 2.140000-5 4.271994+5 2.162719-5 4.151887+5 2.170000-5 4.114336+5 2.238721-5 3.790590+5 2.317395-5 3.475304+5 2.371374-5 3.288698+5 2.426610-5 3.118858+5 2.458000-5 3.030400+5 2.458000-5 3.725746+6 2.483133-5 3.691306+6 2.511886-5 3.668263+6 2.520000-5 3.661877+6 2.540973-5 3.655979+6 2.549000-5 3.653747+6 2.549000-5 5.816975+6 2.550000-5 5.816105+6 2.580000-5 5.804600+6 2.600160-5 5.811932+6 2.610000-5 5.815536+6 2.640000-5 5.848652+6 2.660725-5 5.887847+6 2.670000-5 5.905416+6 2.685000-5 5.940110+6 2.700000-5 5.980979+6 2.722701-5 6.053811+6 2.730000-5 6.079956+6 2.740000-5 6.115846+6 2.770000-5 6.240925+6 2.786121-5 6.315412+6 2.800000-5 6.387380+6 2.815000-5 6.465776+6 2.830000-5 6.550048+6 2.851018-5 6.680687+6 2.870000-5 6.806437+6 2.884032-5 6.900473+6 2.900000-5 7.017647+6 2.945000-5 7.372861+6 2.951209-5 7.426006+6 3.000000-5 7.870440+6 3.040000-5 8.283220+6 3.060000-5 8.495912+6 3.080000-5 8.719513+6 3.126079-5 9.274933+6 3.162278-5 9.741916+6 3.198895-5 1.024868+7 3.230000-5 1.070489+7 3.300000-5 1.179162+7 3.350000-5 1.264179+7 3.467369-5 1.483293+7 3.507519-5 1.564895+7 3.548134-5 1.651083+7 3.590900-5 1.743576+7 3.672823-5 1.932251+7 3.730000-5 2.066887+7 3.770000-5 2.165361+7 3.845918-5 2.352992+7 3.850000-5 2.363425+7 3.900000-5 2.486442+7 3.950000-5 2.614241+7 4.027170-5 2.806266+7 4.030000-5 2.813501+7 4.073803-5 2.918128+7 4.120975-5 3.033880+7 4.168694-5 3.144494+7 4.180000-5 3.171107+7 4.265795-5 3.359195+7 4.350000-5 3.527670+7 4.420000-5 3.653278+7 4.466836-5 3.726484+7 4.500000-5 3.778746+7 4.518559-5 3.803298+7 4.570882-5 3.872863+7 4.650000-5 3.958039+7 4.677351-5 3.979993+7 4.731513-5 4.023460+7 4.800000-5 4.058769+7 4.820000-5 4.069054+7 4.900000-5 4.087163+7 4.920000-5 4.088394+7 4.954502-5 4.086316+7 5.000000-5 4.083612+7 5.011872-5 4.080805+7 5.069907-5 4.060656+7 5.110000-5 4.046942+7 5.188000-5 4.001771+7 5.190000-5 4.000628+7 5.300000-5 3.914073+7 5.308844-5 3.905159+7 5.370318-5 3.844168+7 5.400000-5 3.815314+7 5.500000-5 3.700700+7 5.623413-5 3.541840+7 5.650000-5 3.503524+7 5.688529-5 3.449051+7 5.730000-5 3.391772+7 5.754399-5 3.356963+7 5.821032-5 3.257015+7 5.850000-5 3.214845+7 5.888437-5 3.157615+7 5.956621-5 3.052654+7 6.025596-5 2.947025+7 6.095369-5 2.838856+7 6.165950-5 2.730369+7 6.237348-5 2.620422+7 6.309573-5 2.510972+7 6.382635-5 2.401069+7 6.456542-5 2.292417+7 6.531306-5 2.184214+7 6.606934-5 2.077954+7 6.683439-5 1.972912+7 6.760830-5 1.870328+7 6.839116-5 1.769648+7 6.850000-5 1.756176+7 6.918310-5 1.672350+7 7.000000-5 1.575338+7 7.079458-5 1.485490+7 7.161434-5 1.396638+7 7.244360-5 1.311338+7 7.328245-5 1.229189+7 7.350000-5 1.208888+7 7.413102-5 1.151159+7 7.500000-5 1.075199+7 7.585776-5 1.004841+7 7.673615-5 9.367034+6 7.800000-5 8.463468+6 7.900000-5 7.805854+6 8.000000-5 7.196813+6 8.035261-5 6.991122+6 8.128305-5 6.480317+6 8.230000-5 5.963565+6 8.317638-5 5.548879+6 8.387000-5 5.240004+6 8.387000-5 6.004968+6 8.413951-5 5.891656+6 8.460000-5 5.701383+6 8.540000-5 5.385828+6 8.555000-5 5.328481+6 8.570000-5 5.271933+6 8.642100-5 5.007224+6 8.650000-5 4.978922+6 8.740000-5 4.665039+6 8.810489-5 4.434129+6 8.850000-5 4.309516+6 8.912509-5 4.119301+6 9.000000-5 3.866523+6 9.070000-5 3.676532+6 9.077000-5 3.657964+6 9.077000-5 3.996554+6 9.130000-5 3.864512+6 9.150000-5 3.815911+6 9.190000-5 3.719077+6 9.225714-5 3.634713+6 9.250000-5 3.578916+6 9.332543-5 3.396067+6 9.420000-5 3.212583+6 9.440609-5 3.170905+6 9.500000-5 3.052919+6 9.549926-5 2.957424+6 9.610000-5 2.846818+6 9.720000-5 2.656778+6 9.772372-5 2.571642+6 9.850000-5 2.450743+6 9.885531-5 2.397582+6 9.900000-5 2.376181+6 9.950000-5 2.304215+6 1.000000-4 2.235706+6 1.011579-4 2.086554+6 1.023293-4 1.948790+6 1.030000-4 1.874955+6 1.059254-4 1.597821+6 1.060000-4 1.591549+6 1.071519-4 1.500109+6 1.090000-4 1.370482+6 1.096478-4 1.329347+6 1.100000-4 1.308374+6 1.110000-4 1.251891+6 1.112700-4 1.237543+6 1.128000-4 1.161832+6 1.135011-4 1.130286+6 1.143000-4 1.097384+6 1.150000-4 1.070478+6 1.155000-4 1.052237+6 1.166400-4 1.013612+6 1.170000-4 1.002135+6 1.174898-4 9.874278+5 1.180000-4 9.730236+5 1.185000-4 9.595751+5 1.194000-4 9.371149+5 1.198000-4 9.276565+5 1.205000-4 9.121383+5 1.209000-4 9.036920+5 1.216186-4 8.895115+5 1.217000-4 8.880052+5 1.220000-4 8.826826+5 1.222200-4 8.788088+5 1.230269-4 8.656339+5 1.235000-4 8.583850+5 1.244515-4 8.448890+5 1.245000-4 8.442521+5 1.250000-4 8.381492+5 1.255000-4 8.321212+5 1.258925-4 8.276281+5 1.260000-4 8.265047+5 1.265000-4 8.216076+5 1.273503-4 8.138072+5 1.276400-4 8.114323+5 1.279000-4 8.094517+5 1.279000-4 9.847281+5 1.280000-4 9.839422+5 1.288250-4 9.777365+5 1.290000-4 9.765757+5 1.304600-4 9.678452+5 1.318257-4 9.623119+5 1.322000-4 9.610964+5 1.335000-4 9.578449+5 1.340000-4 9.568593+5 1.350000-4 9.555156+5 1.350900-4 9.554579+5 1.358000-4 9.552792+5 1.365000-4 9.554840+5 1.380384-4 9.566119+5 1.385000-4 9.572029+5 1.390000-4 9.580101+5 1.400000-4 9.599304+5 1.412538-4 9.632789+5 1.428894-4 9.684651+5 1.430000-4 9.688258+5 1.445440-4 9.746679+5 1.462177-4 9.813208+5 1.465000-4 9.825604+5 1.513561-4 1.006611+6 1.531087-4 1.016239+6 1.548817-4 1.025751+6 1.560000-4 1.032122+6 1.566751-4 1.035904+6 1.584893-4 1.046516+6 1.611900-4 1.061766+6 1.621810-4 1.067286+6 1.635000-4 1.074891+6 1.659587-4 1.088415+6 1.678804-4 1.098797+6 1.698244-4 1.108803+6 1.701200-4 1.110299+6 1.705000-4 1.112261+6 1.720000-4 1.119674+6 1.760000-4 1.138223+6 1.778279-4 1.146444+6 1.800000-4 1.155151+6 1.819701-4 1.162652+6 1.820000-4 1.162768+6 1.862087-4 1.177602+6 1.880000-4 1.183568+6 1.883649-4 1.184646+6 1.905461-4 1.190932+6 1.930000-4 1.197240+6 1.972423-4 1.206668+6 2.000000-4 1.212126+6 2.041738-4 1.218809+6 2.065380-4 1.222018+6 2.089296-4 1.224275+6 2.113489-4 1.226312+6 2.137962-4 1.227800+6 2.162719-4 1.228441+6 2.190000-4 1.229094+6 2.220000-4 1.229211+6 2.264644-4 1.227919+6 2.317395-4 1.224653+6 2.350000-4 1.221766+6 2.371374-4 1.219404+6 2.400000-4 1.216298+6 2.426610-4 1.212728+6 2.454709-4 1.208856+6 2.483133-4 1.204187+6 2.511886-4 1.199550+6 2.540973-4 1.194203+6 2.570396-4 1.188787+6 2.600160-4 1.182933+6 2.630268-4 1.176971+6 2.660725-4 1.170379+6 2.691535-4 1.163589+6 2.722701-4 1.156392+6 2.730000-4 1.154723+6 2.754229-4 1.149160+6 2.786121-4 1.141252+6 2.818383-4 1.133403+6 2.900000-4 1.112876+6 2.951209-4 1.099199+6 3.019952-4 1.080539+6 3.054921-4 1.071331+6 3.100000-4 1.059006+6 3.126079-4 1.051727+6 3.162278-4 1.041722+6 3.198895-4 1.031607+6 3.200000-4 1.031305+6 3.273407-4 1.010436+6 3.349654-4 9.889686+5 3.388442-4 9.784076+5 3.430000-4 9.668418+5 3.467369-4 9.564970+5 3.589219-4 9.228233+5 3.600000-4 9.199560+5 3.630781-4 9.115167+5 3.672823-4 9.002243+5 3.715352-4 8.887776+5 3.758374-4 8.773090+5 3.801894-4 8.659091+5 3.850000-4 8.535505+5 3.935501-4 8.316632+5 4.100000-4 7.914904+5 4.120975-4 7.863757+5 4.168694-4 7.749575+5 4.265795-4 7.521638+5 4.315191-4 7.409775+5 4.365158-4 7.299594+5 4.466836-4 7.078281+5 4.500000-4 7.007289+5 4.518559-4 6.967878+5 4.530000-4 6.943470+5 4.530000-4 7.673784+5 4.537000-4 7.646035+5 4.542000-4 7.628902+5 4.548000-4 7.612216+5 4.552000-4 7.603504+5 4.557000-4 7.595485+5 4.562000-4 7.590775+5 4.568000-4 7.590044+5 4.574000-4 7.595274+5 4.579500-4 7.605869+5 4.585000-4 7.622624+5 4.591000-4 7.648797+5 4.596000-4 7.677644+5 4.600000-4 7.705796+5 4.605000-4 7.747922+5 4.610000-4 7.798493+5 4.610400-4 7.803110+5 4.610400-4 8.275796+5 4.615000-4 8.333146+5 4.620600-4 8.414775+5 4.623810-4 8.468690+5 4.627000-4 8.524985+5 4.635000-4 8.690997+5 4.640000-4 8.813661+5 4.644000-4 8.922030+5 4.645000-4 8.951377+5 4.650000-4 9.108801+5 4.655000-4 9.283379+5 4.660000-4 9.478297+5 4.666000-4 9.739730+5 4.671000-4 9.982758+5 4.677000-4 1.030779+6 4.677351-4 1.032750+6 4.683000-4 1.066105+6 4.688000-4 1.098738+6 4.689000-4 1.105657+6 4.692000-4 1.126361+6 4.697000-4 1.163478+6 4.702000-4 1.202713+6 4.704000-4 1.219425+6 4.708000-4 1.253255+6 4.711000-4 1.280229+6 4.714000-4 1.307430+6 4.718000-4 1.345903+6 4.721000-4 1.375021+6 4.726000-4 1.426809+6 4.731513-4 1.485293+6 4.733000-4 1.501834+6 4.735000-4 1.524727+6 4.742000-4 1.605837+6 4.750000-4 1.703403+6 4.755000-4 1.766558+6 4.757000-4 1.792791+6 4.765000-4 1.899140+6 4.774000-4 2.023171+6 4.775000-4 2.036942+6 4.783800-4 2.162967+6 4.785000-4 2.180144+6 4.786301-4 2.198716+6 4.792000-4 2.283025+6 4.800000-4 2.400925+6 4.803000-4 2.446685+6 4.807000-4 2.505679+6 4.815000-4 2.627659+6 4.823000-4 2.747234+6 4.826000-4 2.792906+6 4.832000-4 2.882386+6 4.835000-4 2.927205+6 4.841724-4 3.025938+6 4.845000-4 3.074158+6 4.850000-4 3.145199+6 4.858000-4 3.260029+6 4.865000-4 3.355578+6 4.869000-4 3.410208+6 4.873000-4 3.462756+6 4.880000-4 3.553780+6 4.883000-4 3.590973+6 4.890000-4 3.676449+6 4.895000-4 3.736805+6 4.897788-4 3.768444+6 4.900000-4 3.793818+6 4.907000-4 3.871538+6 4.911000-4 3.913298+6 4.923000-4 4.034707+6 4.935000-4 4.141314+6 4.940000-4 4.184076+6 4.945000-4 4.222679+6 4.954502-4 4.291981+6 4.958000-4 4.317906+6 4.973000-4 4.406810+6 4.980000-4 4.444940+6 4.985000-4 4.468272+6 5.000000-4 4.530761+6 5.016700-4 4.580102+6 5.020000-4 4.587882+6 5.035000-4 4.614270+6 5.050000-4 4.633009+6 5.069907-4 4.638020+6 5.070000-4 4.638044+6 5.080000-4 4.635977+6 5.090000-4 4.629974+6 5.120000-4 4.598551+6 5.135000-4 4.577187+6 5.150000-4 4.553563+6 5.190000-4 4.480794+6 5.300000-4 4.271066+6 5.370318-4 4.151793+6 5.432503-4 4.054780+6 5.495409-4 3.959760+6 5.500000-4 3.952955+6 5.821032-4 3.516684+6 5.900000-4 3.423787+6 5.956621-4 3.361167+6 6.000000-4 3.314340+6 6.095369-4 3.214818+6 6.200000-4 3.110654+6 6.237348-4 3.074700+6 6.309573-4 3.006799+6 6.350000-4 2.969782+6 6.456542-4 2.875341+6 6.531306-4 2.809928+6 6.606700-4 2.745027+6 6.606700-4 2.899837+6 6.608500-4 2.902455+6 6.611500-4 2.908331+6 6.614500-4 2.914020+6 6.619000-4 2.922018+6 6.623500-4 2.929425+6 6.628000-4 2.936322+6 6.633000-4 2.943244+6 6.637000-4 2.948308+6 6.642000-4 2.954011+6 6.648000-4 2.959914+6 6.655000-4 2.965579+6 6.661000-4 2.969453+6 6.669000-4 2.973311+6 6.677000-4 2.975782+6 6.683439-4 2.976745+6 6.685000-4 2.977000+6 6.695000-4 2.976947+6 6.700000-4 2.976073+6 6.707000-4 2.974910+6 6.719000-4 2.971109+6 6.735000-4 2.963894+6 6.750000-4 2.955459+6 6.760830-4 2.948368+6 6.772000-4 2.941086+6 6.800000-4 2.920738+6 6.850000-4 2.882266+6 6.918310-4 2.830340+6 6.996200-4 2.772915+6 6.996200-4 2.835031+6 6.998420-4 2.835599+6 7.000000-4 2.836247+6 7.001500-4 2.836909+6 7.005000-4 2.838270+6 7.008500-4 2.839498+6 7.013500-4 2.841009+6 7.018000-4 2.842113+6 7.023000-4 2.843074+6 7.027000-4 2.843656+6 7.032000-4 2.844101+6 7.038000-4 2.844256+6 7.045000-4 2.843964+6 7.052000-4 2.843182+6 7.060000-4 2.841724+6 7.067000-4 2.839978+6 7.075000-4 2.837499+6 7.085000-4 2.833789+6 7.095000-4 2.829477+6 7.110000-4 2.822123+6 7.127000-4 2.812805+6 7.142000-4 2.803947+6 7.161434-4 2.791894+6 7.190800-4 2.771653+6 7.244360-4 2.734062+6 7.300000-4 2.695891+6 7.413102-4 2.618971+6 7.500000-4 2.562176+6 7.540000-4 2.536681+6 7.585776-4 2.507633+6 7.673615-4 2.453301+6 7.762471-4 2.397681+6 7.852356-4 2.343403+6 8.035261-4 2.238515+6 8.112400-4 2.196387+6 8.112400-4 2.293999+6 8.222426-4 2.234022+6 8.413951-4 2.131644+6 8.550000-4 2.063223+6 8.609938-4 2.034321+6 8.709636-4 1.987476+6 8.810489-4 1.941017+6 8.912509-4 1.895130+6 9.000000-4 1.857047+6 9.015711-4 1.850331+6 9.225714-4 1.764001+6 9.350000-4 1.715665+6 9.440609-4 1.681556+6 9.549926-4 1.641751+6 9.660509-4 1.602112+6 9.700000-4 1.588296+6 9.885531-4 1.525123+6 1.000000-3 1.487899+6 1.011579-3 1.451645+6 1.023293-3 1.416315+6 1.035142-3 1.381350+6 1.047129-3 1.346714+6 1.059254-3 1.312981+6 1.070000-3 1.284120+6 1.083927-3 1.248008+6 1.109175-3 1.186326+6 1.110000-3 1.184390+6 1.122018-3 1.156682+6 1.135011-3 1.127508+6 1.150000-3 1.095003+6 1.161449-3 1.070907+6 1.170000-3 1.053411+6 1.174898-3 1.043557+6 1.188502-3 1.016883+6 1.230269-3 9.410763+5 1.244515-3 9.168777+5 1.258925-3 8.930543+5 1.273503-3 8.696814+5 1.288250-3 8.469586+5 1.318257-3 8.033474+5 1.333521-3 7.823590+5 1.348963-3 7.619327+5 1.364583-3 7.420678+5 1.380384-3 7.224999+5 1.412538-3 6.847880+5 1.428894-3 6.666725+5 1.445440-3 6.490492+5 1.462177-3 6.319216+5 1.479108-3 6.152637+5 1.500000-3 5.955330+5 1.513561-3 5.831324+5 1.531087-3 5.675189+5 1.548817-3 5.523201+5 1.584893-3 5.230346+5 1.603245-3 5.089959+5 1.621810-3 4.952979+5 1.640590-3 4.818919+5 1.659587-3 4.688691+5 1.678804-3 4.562138+5 1.698244-3 4.438356+5 1.757924-3 4.085980+5 1.798871-3 3.866812+5 1.800000-3 3.861014+5 1.819701-3 3.761826+5 1.840772-3 3.659208+5 1.862087-3 3.559292+5 1.883649-3 3.461534+5 1.905461-3 3.366612+5 1.927525-3 3.274359+5 1.949845-3 3.184286+5 1.950000-3 3.183673+5 2.000000-3 2.993874+5 2.018366-3 2.927780+5 2.041738-3 2.846680+5 2.065380-3 2.767926+5 2.089296-3 2.691339+5 2.113489-3 2.616530+5 2.137962-3 2.543916+5 2.150000-3 2.509150+5 2.162719-3 2.472993+5 2.213095-3 2.336931+5 2.238721-3 2.271857+5 2.264644-3 2.208289+5 2.317395-3 2.086647+5 2.398833-3 1.916255+5 2.400000-3 1.913962+5 2.426610-3 1.862199+5 2.454709-3 1.809674+5 2.483133-3 1.758689+5 2.500000-3 1.729198+5 2.540973-3 1.660463+5 2.630268-3 1.523724+5 2.660725-3 1.480401+5 2.722701-3 1.397552+5 2.754229-3 1.357772+5 2.786121-3 1.319187+5 2.818383-3 1.281498+5 2.851018-3 1.244867+5 2.951209-3 1.141375+5 3.019952-3 1.076887+5 3.054921-3 1.045989+5 3.090295-3 1.015979+5 3.126079-3 9.866659+4 3.198895-3 9.306743+4 3.273407-3 8.778604+4 3.300000-3 8.599766+4 3.349654-3 8.278259+4 3.400000-3 7.969572+4 3.427678-3 7.806401+4 3.467369-3 7.580455+4 3.548134-3 7.145766+4 3.589219-3 6.938308+4 3.630781-3 6.737030+4 3.672823-3 6.541773+4 3.715352-3 6.351614+4 3.728400-3 6.294846+4 3.728400-3 2.031777+5 3.758374-3 1.995549+5 3.813000-3 1.931777+5 3.845918-3 1.888951+5 3.890451-3 1.833080+5 3.942500-3 1.770477+5 3.942500-3 2.418548+5 4.027170-3 2.299874+5 4.050000-3 2.269330+5 4.073803-3 2.236159+5 4.100000-3 2.200403+5 4.168694-3 2.107715+5 4.213800-3 2.049792+5 4.213800-3 2.355941+5 4.244000-3 2.314696+5 4.280000-3 2.266864+5 4.315191-3 2.221944+5 4.365158-3 2.160278+5 4.415704-3 2.100285+5 4.466836-3 2.040918+5 4.518559-3 1.982881+5 4.570882-3 1.926038+5 4.677351-3 1.817235+5 4.786301-3 1.714740+5 4.800000-3 1.702440+5 4.897788-3 1.616470+5 4.954502-3 1.569337+5 5.000000-3 1.532902+5 5.069907-3 1.479204+5 5.128614-3 1.436150+5 5.233200-3 1.363687+5 5.248075-3 1.353731+5 5.308844-3 1.313937+5 5.432503-3 1.237865+5 5.500000-3 1.198949+5 5.559043-3 1.166268+5 5.623413-3 1.131974+5 5.688529-3 1.098703+5 5.754399-3 1.066418+5 5.821032-3 1.035081+5 5.888437-3 1.004685+5 6.025596-3 9.466118+4 6.165950-3 8.914513+4 6.237348-3 8.650893+4 6.309573-3 8.395996+4 6.382635-3 8.148507+4 6.531306-3 7.673569+4 6.606934-3 7.446617+4 6.683439-3 7.226556+4 6.918310-3 6.601122+4 6.998420-3 6.404981+4 7.000000-3 6.401196+4 7.161434-3 6.029852+4 7.244360-3 5.850057+4 7.328245-3 5.673935+4 7.413102-3 5.503249+4 7.498942-3 5.337592+4 7.500000-3 5.335594+4 7.585776-3 5.176980+4 7.852356-3 4.724237+4 7.943282-3 4.580431+4 8.128305-3 4.306192+4 8.317638-3 4.048736+4 8.413951-3 3.926009+4 8.511380-3 3.807027+4 8.609938-3 3.691714+4 8.709636-3 3.579999+4 8.912509-3 3.365223+4 9.015711-3 3.262522+4 9.225714-3 3.066643+4 9.332543-3 2.973242+4 9.500000-3 2.834669+4 9.549926-3 2.794727+4 9.660509-3 2.708961+4 9.772372-3 2.625596+4 1.011579-2 2.390978+4 1.023293-2 2.317194+4 1.035142-2 2.245693+4 1.047129-2 2.176454+4 1.050000-2 2.160311+4 1.071519-2 2.044461+4 1.080000-2 2.001177+4 1.096478-2 1.920621+4 1.100000-2 1.903991+4 1.109175-2 1.861596+4 1.122018-2 1.804439+4 1.150000-2 1.687269+4 1.161449-2 1.642059+4 1.174898-2 1.591021+4 1.188502-2 1.541614+4 1.202264-2 1.493773+4 1.216186-2 1.447406+4 1.230269-2 1.402493+4 1.244515-2 1.358828+4 1.258925-2 1.316563+4 1.273503-2 1.275636+4 1.303167-2 1.197652+4 1.318257-2 1.160329+4 1.333521-2 1.124165+4 1.348963-2 1.088981+4 1.380384-2 1.021964+4 1.396368-2 9.900419+3 1.412538-2 9.591408+3 1.445440-2 9.002230+3 1.462177-2 8.720906+3 1.500000-2 8.124884+3 1.513561-2 7.924715+3 1.531087-2 7.676019+3 1.548817-2 7.434103+3 1.566751-2 7.199992+3 1.584893-2 6.973449+3 1.621810-2 6.541832+3 1.640590-2 6.336403+3 1.659587-2 6.137088+3 1.678804-2 5.943989+3 1.698244-2 5.757110+3 1.717908-2 5.576277+3 1.737801-2 5.399738+3 1.757924-2 5.228931+3 1.778279-2 5.063634+3 1.800000-2 4.895091+3 1.819701-2 4.748170+3 1.840772-2 4.597703+3 1.862087-2 4.452050+3 1.905461-2 4.174792+3 1.927525-2 4.042860+3 1.949845-2 3.914846+3 1.982070-2 3.739512+3 2.000000-2 3.646562+3 2.018366-2 3.554637+3 2.041738-2 3.441381+3 2.065380-2 3.331808+3 2.089296-2 3.225783+3 2.113489-2 3.123212+3 2.137962-2 3.023565+3 2.213095-2 2.743618+3 2.238721-2 2.656327+3 2.290868-2 2.490185+3 2.317395-2 2.410980+3 2.344229-2 2.334168+3 2.371374-2 2.259330+3 2.426610-2 2.116922+3 2.454709-2 2.049182+3 2.483133-2 1.983662+3 2.511886-2 1.920255+3 2.570396-2 1.799158+3 2.660725-2 1.632002+3 2.691535-2 1.579855+3 2.722701-2 1.528994+3 2.754229-2 1.479803+3 2.786121-2 1.432224+3 2.792100-2 1.423539+3 2.792100-2 8.876918+3 2.800000-2 8.820838+3 2.827000-2 8.632963+3 2.851018-2 8.459534+3 2.865000-2 8.360852+3 2.884032-2 8.210966+3 2.917427-2 7.956735+3 2.930000-2 7.863806+3 2.985383-2 7.504584+3 3.019952-2 7.291868+3 3.090295-2 6.858299+3 3.126079-2 6.651073+3 3.162278-2 6.450114+3 3.198895-2 6.255215+3 3.235937-2 6.066225+3 3.273407-2 5.882976+3 3.349654-2 5.538957+3 3.427678-2 5.215138+3 3.467369-2 5.060391+3 3.548134-2 4.764593+3 3.589219-2 4.623277+3 3.630781-2 4.485927+3 3.672823-2 4.349187+3 3.715352-2 4.216621+3 3.758374-2 4.088081+3 3.801894-2 3.963475+3 3.890451-2 3.725588+3 3.935501-2 3.612073+3 3.981072-2 3.502028+3 4.168694-2 3.094491+3 4.216965-2 3.000269+3 4.265795-2 2.907152+3 4.315191-2 2.816914+3 4.365158-2 2.729489+3 4.415704-2 2.644759+3 4.518559-2 2.483078+3 4.570882-2 2.405995+3 4.677351-2 2.258958+3 4.731513-2 2.188851+3 4.786301-2 2.120929+3 4.954502-2 1.929586+3 5.128614-2 1.755344+3 5.188000-2 1.700842+3 5.248075-2 1.648024+3 5.308844-2 1.596852+3 5.495409-2 1.450237+3 5.559043-2 1.404426+3 5.623413-2 1.360055+3 5.821032-2 1.235183+3 5.888437-2 1.196167+3 6.165950-2 1.051908+3 6.382635-2 9.552552+2 6.606934-2 8.675032+2 6.683439-2 8.396839+2 6.760830-2 8.127579+2 7.079458-2 7.134326+2 7.413102-2 6.261690+2 7.498942-2 6.060724+2 7.673615-2 5.677973+2 7.762471-2 5.495778+2 7.943282-2 5.148768+2 8.035261-2 4.983583+2 8.317638-2 4.519181+2 8.609938-2 4.093580+2 9.015711-2 3.587375+2 9.332543-2 3.249234+2 9.440609-2 3.143767+2 9.660509-2 2.943009+2 9.772372-2 2.847497+2 9.885531-2 2.755088+2 1.059254-1 2.260376+2 1.083927-1 2.114900+2 1.122019-1 1.914086+2 1.135011-1 1.851475+2 1.161449-1 1.732334+2 1.202264-1 1.567861+2 1.244515-1 1.419015+2 1.288250-1 1.284337+2 1.303167-1 1.242351+2 1.318257-1 1.201738+2 1.333521-1 1.162456+2 1.348963-1 1.124457+2 1.364583-1 1.087703+2 1.380384-1 1.052152+2 1.396368-1 1.017750+2 1.513561-1 8.065021+1 1.531088-1 7.801451+1 1.566751-1 7.299900+1 1.584893-1 7.061361+1 1.640590-1 6.391532+1 1.659587-1 6.182706+1 1.678804-1 5.980709+1 1.717908-1 5.596364+1 1.737801-1 5.413556+1 1.778279-1 5.065685+1 1.798871-1 4.900224+1 1.840772-1 4.585408+1 1.883649-1 4.290838+1 1.927525-1 4.015203+1 1.949845-1 3.884105+1 1.972423-1 3.757294+1 2.018366-1 3.515997+1 2.065380-1 3.292256+1 2.113489-1 3.082830+1 2.137962-1 2.983233+1 2.187762-1 2.793591+1 2.213095-1 2.703346+1 2.238721-1 2.616020+1 2.264644-1 2.531519+1 2.265100-1 2.530065+1 2.290868-1 2.449746+1 2.344229-1 2.294070+1 2.371374-1 2.219996+1 2.398833-1 2.148319+1 2.454709-1 2.011836+1 2.483133-1 1.947673+1 2.511886-1 1.885558+1 2.540973-1 1.825424+1 2.600160-1 1.710859+1 2.630268-1 1.656376+1 2.660725-1 1.603646+1 2.722701-1 1.503195+1 2.786121-1 1.409038+1 2.818383-1 1.364195+1 2.851018-1 1.320781+1 2.884032-1 1.279399+1 2.951209-1 1.200490+1 2.985383-1 1.162886+1 3.000060-1 1.147229+1 3.054921-1 1.091188+1 3.126079-1 1.024017+1 3.162278-1 9.919989+0 3.235937-1 9.309565+0 3.273407-1 9.018603+0 3.311311-1 8.736796+0 3.349654-1 8.468406+0 3.388442-1 8.208273+0 3.427678-1 7.956183+0 3.467369-1 7.711833+0 3.507519-1 7.474994+0 3.548134-1 7.245440+0 3.589219-1 7.023332+0 3.630781-1 6.808029+0 3.672823-1 6.599454+0 3.715352-1 6.397271+0 3.758374-1 6.201281+0 3.801894-1 6.014773+0 3.845918-1 5.833904+0 3.890451-1 5.658492+0 3.935501-1 5.488360+0 3.981072-1 5.323347+0 4.027170-1 5.163331+0 4.073803-1 5.008429+0 4.120975-1 4.858183+0 4.216965-1 4.571188+0 4.265795-1 4.436825+0 4.315191-1 4.306416+0 4.365158-1 4.179844+0 4.415705-1 4.057026+0 4.518559-1 3.822119+0 4.570882-1 3.709819+0 4.623810-1 3.601066+0 4.677351-1 3.495546+0 4.786301-1 3.297877+0 4.897788-1 3.111430+0 4.954502-1 3.022205+0 5.011872-1 2.935542+0 5.069907-1 2.851365+0 5.128614-1 2.769604+0 5.188000-1 2.690391+0 5.248075-1 2.615194+0 5.370318-1 2.471082+0 5.495409-1 2.334911+0 5.559043-1 2.269672+0 5.623413-1 2.206261+0 5.688529-1 2.144624+0 5.754399-1 2.084722+0 5.888437-1 1.973068+0 6.000000-1 1.886497+0 6.025596-1 1.867396+0 6.095369-1 1.816702+0 6.165950-1 1.767391+0 6.237348-1 1.719422+0 6.382635-1 1.627375+0 6.456542-1 1.584523+0 6.531306-1 1.542799+0 6.683439-1 1.462619+0 6.760830-1 1.424107+0 6.839117-1 1.386614+0 6.918310-1 1.350117+0 6.998420-1 1.314582+0 7.079458-1 1.279989+0 7.085700-1 1.277451+0 7.328245-1 1.184481+0 7.413102-1 1.154260+0 7.498942-1 1.124811+0 7.585776-1 1.096123+0 7.673615-1 1.068167+0 7.852356-1 1.014386+0 7.943282-1 9.893006-1 8.035261-1 9.648353-1 8.128305-1 9.409751-1 8.222427-1 9.177049-1 8.317638-1 8.950167-1 8.413951-1 8.728899-1 8.511380-1 8.513127-1 8.609938-1 8.302713-1 8.709636-1 8.098127-1 8.810489-1 7.904776-1 8.912509-1 7.716044-1 9.015711-1 7.531828-1 9.120108-1 7.352057-1 9.225714-1 7.176577-1 9.440609-1 6.838153-1 9.549926-1 6.675566-1 9.660509-1 6.522192-1 9.772372-1 6.372345-1 9.885531-1 6.225951-1 1.000000+0 6.082977-1 1.011579+0 5.943337-1 1.023293+0 5.806906-1 1.035142+0 5.673622-1 1.047129+0 5.543389-1 1.059254+0 5.416161-1 1.071519+0 5.292108-1 1.083927+0 5.170948-1 1.096478+0 5.055055-1 1.122018+0 4.831002-1 1.135011+0 4.722727-1 1.148154+0 4.616890-1 1.161449+0 4.513454-1 1.174898+0 4.412380-1 1.188600+0 4.313270-1 1.202264+0 4.221289-1 1.216186+0 4.130623-1 1.230269+0 4.041936-1 1.258925+0 3.870242-1 1.288250+0 3.705871-1 1.303167+0 3.626333-1 1.318257+0 3.548502-1 1.333521+0 3.472345-1 1.348963+0 3.398008-1 1.364583+0 3.325286-1 1.396368+0 3.188196-1 1.412538+0 3.121795-1 1.462177+0 2.930789-1 1.479108+0 2.869761-1 1.500000+0 2.797127-1 1.513561+0 2.751662-1 1.531087+0 2.694580-1 1.548817+0 2.640669-1 1.566751+0 2.587842-1 1.603245+0 2.485335-1 1.621810+0 2.435620-1 1.640590+0 2.386906-1 1.678804+0 2.292402-1 1.717908+0 2.201931-1 1.737801+0 2.159401-1 1.757924+0 2.117695-1 1.778279+0 2.076798-1 1.819701+0 1.997354-1 1.840772+0 1.958792-1 1.862087+0 1.920975-1 1.905461+0 1.847530-1 1.949845+0 1.777117-1 1.972423+0 1.743974-1 1.995262+0 1.711451-1 2.000000+0 1.704826-1 2.018366+0 1.679535-1 2.044000+0 1.645233-1 2.065380+0 1.617484-1 2.089296+0 1.587331-1 2.162719+0 1.500222-1 2.213095+0 1.445011-1 2.238721+0 1.419056-1 2.264644+0 1.393566-1 2.290868+0 1.368535-1 2.317395+0 1.343954-1 2.344229+0 1.319820-1 2.371374+0 1.296122-1 2.454709+0 1.227566-1 2.511886+0 1.184031-1 2.540973+0 1.163532-1 2.570396+0 1.143389-1 2.600160+0 1.123594-1 2.630268+0 1.104143-1 2.660725+0 1.085032-1 2.691535+0 1.066254-1 2.786121+0 1.011860-1 2.884032+0 9.604047-2 2.917427+0 9.443574-2 2.951209+0 9.285781-2 2.985383+0 9.130626-2 3.019952+0 8.978068-2 3.054921+0 8.828088-2 3.090295+0 8.680632-2 3.235937+0 8.115143-2 3.349654+0 7.716620-2 3.388442+0 7.592152-2 3.427678+0 7.469696-2 3.467369+0 7.349218-2 3.507519+0 7.230685-2 3.548134+0 7.114086-2 3.589219+0 6.999382-2 3.758374+0 6.558856-2 3.890451+0 6.247742-2 3.935501+0 6.150372-2 4.000000+0 6.015467-2 4.027170+0 5.960168-2 4.073803+0 5.867284-2 4.120975+0 5.775867-2 4.168694+0 5.685883-2 4.216965+0 5.597320-2 4.415704+0 5.256654-2 4.570882+0 5.015586-2 4.623810+0 4.940042-2 4.677351+0 4.865636-2 4.731513+0 4.792351-2 4.786301+0 4.720173-2 4.841724+0 4.649093-2 4.897788+0 4.579093-2 4.954502+0 4.510160-2 5.248075+0 4.180757-2 5.432503+0 3.995338-2 5.495409+0 3.937110-2 5.559043+0 3.879732-2 5.623413+0 3.823192-2 5.688529+0 3.767477-2 5.754399+0 3.712583-2 5.821032+0 3.658495-2 5.888437+0 3.605206-2 6.237348+0 3.350184-2 6.456542+0 3.206335-2 6.606934+0 3.116389-2 6.683439+0 3.072367-2 6.760830+0 3.028967-2 6.839116+0 2.986182-2 6.918310+0 2.944007-2 7.000000+0 2.901623-2 7.161434+0 2.821051-2 7.673615+0 2.590345-2 7.943282+0 2.482473-2 8.128305+0 2.414970-2 8.222427+0 2.381911-2 8.317638+0 2.349305-2 8.413951+0 2.317152-2 8.511380+0 2.285441-2 8.709636+0 2.223328-2 9.332543+0 2.046938-2 9.660509+0 1.964275-2 9.885531+0 1.912299-2 1.000000+1 1.886829-2 1.011579+1 1.861700-2 1.035142+1 1.812439-2 1.047129+1 1.788302-2 1.071519+1 1.740997-2 1.109175+1 1.672385-2 1.161449+1 1.585091-2 1.188502+1 1.543265-2 1.200000+1 1.526112-2 1.202264+1 1.522776-2 1.230269+1 1.483428-2 1.258925+1 1.445099-2 1.273503+1 1.426307-2 1.288250+1 1.407760-2 1.318257+1 1.371387-2 1.333521+1 1.353555-2 1.348963+1 1.335956-2 1.364583+1 1.318588-2 1.400000+1 1.280746-2 1.479108+1 1.203192-2 1.500000+1 1.184217-2 1.513561+1 1.172205-2 1.566751+1 1.128312-2 1.584893+1 1.114050-2 1.603245+1 1.099968-2 1.621810+1 1.086064-2 1.659587+1 1.058781-2 1.678804+1 1.045400-2 1.698244+1 1.032188-2 1.800000+1 9.679303-3 2.000000+1 8.615947-3 2.018366+1 8.529574-3 2.041738+1 8.422062-3 2.089296+1 8.215129-3 2.113489+1 8.113577-3 2.137962+1 8.013283-3 2.213095+1 7.719778-3 2.264644+1 7.530131-3 2.290868+1 7.437066-3 2.454709+1 6.902425-3 2.722701+1 6.171663-3 2.754229+1 6.095567-3 2.786121+1 6.021686-3 2.851018+1 5.876600-3 2.884032+1 5.805372-3 2.917427+1 5.735011-3 2.951209+1 5.665503-3 3.090295+1 5.395791-3 3.198895+1 5.201987-3 3.235937+1 5.138948-3 3.548134+1 4.661440-3 3.890451+1 4.228304-3 3.935501+1 4.177088-3 3.981072+1 4.126580-3 4.027170+1 4.077485-3 4.120975+1 3.981041-3 4.168694+1 3.933678-3 4.265795+1 3.840639-3 4.315191+1 3.794947-3 4.518559+1 3.617553-3 4.731513+1 3.448465-3 4.841724+1 3.366914-3 5.432503+1 2.987225-3 6.165950+1 2.618833-3 6.309573+1 2.556924-3 6.382635+1 2.526563-3 6.456542+1 2.496956-3 6.606934+1 2.438779-3 6.683439+1 2.410200-3 6.760830+1 2.381957-3 6.918310+1 2.326461-3 6.998420+1 2.299199-3 7.079458+1 2.272257-3 7.498942+1 2.142209-3 7.762471+1 2.067787-3 7.852356+1 2.043560-3 8.035261+1 1.995954-3 8.912509+1 1.795099-3 1.011579+2 1.576852-3 1.047129+2 1.522086-3 1.083927+2 1.469272-3 1.122018+2 1.418717-3 1.174898+2 1.354005-3 1.216186+2 1.307416-3 1.244515+2 1.277251-3 1.333521+2 1.190869-3 1.364583+2 1.163393-3 1.412538+2 1.123363-3 1.496236+2 1.059684-3 1.548817+2 1.023224-3 1.566751+2 1.011353-3 1.603245+2 9.880209-4 1.778279+2 8.895157-4 2.018366+2 7.823573-4 2.089296+2 7.554450-4 2.162719+2 7.294749-4 2.238721+2 7.045402-4 2.344229+2 6.726146-4 2.426610+2 6.496236-4 2.483133+2 6.347345-4 2.660725+2 5.920838-4 2.722701+2 5.785137-4 2.818383+2 5.587392-4 2.985383+2 5.272724-4 3.090295+2 5.092501-4 3.126079+2 5.033807-4 3.198895+2 4.918440-4 3.548134+2 4.431164-4 4.027170+2 3.900674-4 4.168694+2 3.767365-4 4.315191+2 3.638662-4 4.466836+2 3.514808-4 4.677351+2 3.356203-4 4.841724+2 3.241963-4 4.954502+2 3.167972-4 1.059254+3 1.478773-4 1.083927+3 1.445023-4 1.122018+3 1.395838-4 1.188502+3 1.317554-4 1.230269+3 1.272707-4 1.244515+3 1.258100-4 1.273503+3 1.229388-4 1.412538+3 1.108080-4 1.603245+3 9.759502-5 1.659587+3 9.427336-5 1.717908+3 9.106556-5 1.778279+3 8.797326-5 3.715352+3 4.209954-5 3.845918+3 4.066997-5 3.935501+3 3.974400-5 1.000000+5 1.562977-6 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.580000-6 4.580000-6 4.910000-6 4.580000-6 4.910000-6 4.702166-6 1.083000-5 4.711726-6 1.083000-5 6.974600-6 1.190000-5 6.518121-6 1.270000-5 6.206055-6 1.364583-5 5.873424-6 1.450000-5 5.613355-6 1.515000-5 5.439346-6 1.584893-5 5.278717-6 1.659587-5 5.136897-6 1.717908-5 5.048361-6 1.800000-5 4.957187-6 1.877000-5 4.906467-6 1.950000-5 4.888934-6 2.025000-5 4.900754-6 2.113489-5 4.950816-6 2.170000-5 5.001605-6 2.238721-5 5.081364-6 2.317395-5 5.194183-6 2.426610-5 5.382562-6 2.458000-5 5.441717-6 2.458000-5 1.433372-5 2.549000-5 1.439237-5 2.549000-5 1.568155-5 3.350000-5 1.597913-5 4.180000-5 1.612152-5 5.623413-5 1.621952-5 7.800000-5 1.622600-5 8.387000-5 1.620374-5 8.387000-5 1.819868-5 8.850000-5 1.885344-5 9.077000-5 1.914311-5 9.077000-5 2.033749-5 9.610000-5 2.145595-5 1.096478-4 2.400278-5 1.143000-4 2.474462-5 1.185000-4 2.523637-5 1.222200-4 2.549296-5 1.260000-4 2.558041-5 1.279000-4 2.556435-5 1.279000-4 2.945419-5 1.322000-4 2.939720-5 1.380384-4 2.906346-5 1.584893-4 2.729407-5 1.701200-4 2.646984-5 1.820000-4 2.580018-5 1.930000-4 2.532083-5 2.065380-4 2.488277-5 2.220000-4 2.453334-5 2.454709-4 2.419888-5 2.786121-4 2.392927-5 3.200000-4 2.379866-5 3.850000-4 2.382144-5 4.530000-4 2.397091-5 4.530000-4 2.590630-5 4.557000-4 2.587574-5 4.579500-4 2.603158-5 4.596000-4 2.629637-5 4.610400-4 2.666597-5 4.610400-4 2.778454-5 4.627000-4 2.835357-5 4.644000-4 2.914976-5 4.660000-4 3.011968-5 4.677351-4 3.137300-5 4.721000-4 3.479655-5 4.742000-4 3.627571-5 4.765000-4 3.764405-5 4.786301-4 3.867436-5 4.807000-4 3.948376-5 4.835000-4 4.033002-5 4.873000-4 4.112739-5 4.911000-4 4.164751-5 4.958000-4 4.204636-5 5.035000-4 4.235264-5 5.150000-4 4.244162-5 6.309573-4 4.225793-5 6.606700-4 4.224246-5 6.606700-4 4.400983-5 6.637000-4 4.480877-5 6.669000-4 4.535849-5 6.707000-4 4.571688-5 6.772000-4 4.595571-5 6.996200-4 4.616957-5 6.996200-4 4.686715-5 7.052000-4 4.745025-5 7.127000-4 4.777249-5 7.585776-4 4.825184-5 8.112400-4 4.865494-5 8.112400-4 5.083071-5 1.174898-3 5.390634-5 1.513561-3 5.623607-5 1.927525-3 5.852801-5 2.426610-3 6.074601-5 3.019952-3 6.284219-5 3.728400-3 6.483243-5 3.728400-3 9.116803-5 3.942500-3 9.139841-5 3.942500-3 9.612563-5 4.213800-3 9.635489-5 4.213800-3 1.007036-4 5.821032-3 1.024732-4 8.511380-3 1.045794-4 1.273503-2 1.068690-4 1.862087-2 1.090449-4 2.691535-2 1.110966-4 2.792100-2 1.112887-4 2.792100-2 1.151773-4 6.165950-2 1.157915-4 2.065380-1 1.162296-4 2.691535+0 1.163952-4 1.000000+5 1.163954-4 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.580000-6 0.0 2.549000-5 0.0 2.549000-5 2.73010-11 2.685000-5 2.65922-11 2.770000-5 2.62520-11 2.870000-5 2.59909-11 2.951209-5 2.58463-11 3.060000-5 2.57615-11 3.230000-5 2.58347-11 3.548134-5 2.62722-11 4.650000-5 2.86129-11 5.011872-5 2.92281-11 5.500000-5 2.98149-11 5.956621-5 3.02211-11 6.025596-5 3.02390-11 6.095369-5 3.03230-11 6.165950-5 3.03390-11 6.237348-5 3.04199-11 6.309573-5 3.04332-11 6.382635-5 3.05102-11 6.456542-5 3.05201-11 6.531306-5 3.05925-11 7.161434-5 3.08546-11 7.673615-5 3.10004-11 8.387000-5 3.10579-11 8.387000-5 6.77957-11 8.570000-5 7.29837-11 8.740000-5 7.75146-11 9.077000-5 8.58776-11 9.077000-5 1.20431-10 9.250000-5 1.29610-10 9.500000-5 1.41778-10 9.772372-5 1.54015-10 1.023293-4 1.73745-10 1.071519-4 1.93791-10 1.110000-4 2.08569-10 1.135011-4 2.16930-10 1.155000-4 2.22872-10 1.180000-4 2.28725-10 1.198000-4 2.32034-10 1.222200-4 2.34881-10 1.245000-4 2.36163-10 1.265000-4 2.36138-10 1.279000-4 2.35558-10 1.279000-4 2.70924-10 1.304600-4 2.69767-10 1.340000-4 2.66247-10 1.385000-4 2.59735-10 1.531087-4 2.34497-10 1.584893-4 2.26056-10 1.659587-4 2.15904-10 1.720000-4 2.08842-10 1.800000-4 2.00929-10 1.883649-4 1.94157-10 1.972423-4 1.88332-10 2.065380-4 1.83538-10 2.162719-4 1.79681-10 2.264644-4 1.76577-10 2.400000-4 1.73372-10 2.570396-4 1.70666-10 2.786121-4 1.68438-10 3.054921-4 1.67110-10 3.388442-4 1.67089-10 3.758374-4 1.68126-10 4.168694-4 1.69812-10 4.530000-4 1.71898-10 4.530000-4 1.80665-10 4.562000-4 1.80737-10 4.585000-4 1.81777-10 4.605000-4 1.83693-10 4.610400-4 1.84417-10 4.610400-4 7.750404-9 4.623810-4 7.679039-9 4.635000-4 7.570776-9 4.640000-4 7.505176-9 4.645000-4 7.468027-9 4.650000-4 7.453876-9 4.655000-4 7.465677-9 4.660000-4 7.502961-9 4.666000-4 7.585156-9 4.671000-4 7.685638-9 4.677351-4 7.859081-9 4.683000-4 8.060247-9 4.689000-4 8.322418-9 4.692000-4 8.472635-9 4.697000-4 8.752935-9 4.702000-4 9.075072-9 4.708000-4 9.511719-9 4.714000-4 1.000499-8 4.721000-4 1.065293-8 4.726000-4 1.116892-8 4.735000-4 1.217118-8 4.742000-4 1.303588-8 4.750000-4 1.410095-8 4.757000-4 1.509864-8 4.765000-4 1.630460-8 4.775000-4 1.787781-8 4.792000-4 2.065527-8 4.807000-4 2.314682-8 4.823000-4 2.571905-8 4.832000-4 2.711101-8 4.841724-4 2.855885-8 4.850000-4 2.974451-8 4.865000-4 3.174972-8 4.873000-4 3.275287-8 4.890000-4 3.474001-8 4.900000-4 3.580669-8 4.911000-4 3.691469-8 4.935000-4 3.907420-8 4.954502-4 4.056901-8 4.973000-4 4.184968-8 4.985000-4 4.256345-8 5.000000-4 4.335704-8 5.020000-4 4.425495-8 5.035000-4 4.486681-8 5.070000-4 4.585862-8 5.090000-4 4.625624-8 5.120000-4 4.665356-8 5.150000-4 4.685489-8 5.190000-4 4.694942-8 5.300000-4 4.683649-8 5.370318-4 4.668193-8 6.000000-4 4.632258-8 6.606700-4 4.623367-8 6.606700-4 5.622091-8 6.623500-4 5.890998-8 6.637000-4 6.074094-8 6.648000-4 6.199380-8 6.661000-4 6.321921-8 6.677000-4 6.440457-8 6.700000-4 6.559443-8 6.719000-4 6.627725-8 6.750000-4 6.695451-8 6.800000-4 6.748468-8 6.996200-4 6.847168-8 6.996200-4 7.417133-8 7.023000-4 7.678686-8 7.045000-4 7.840505-8 7.067000-4 7.958082-8 7.095000-4 8.058644-8 7.142000-4 8.154484-8 7.190800-4 8.207461-8 7.540000-4 8.440128-8 8.112400-4 8.737598-8 8.112400-4 9.779731-8 9.015711-4 1.027803-7 1.059254-3 1.112475-7 1.188502-3 1.176362-7 1.380384-3 1.259770-7 1.548817-3 1.325578-7 1.757924-3 1.397518-7 2.018366-3 1.476305-7 2.317395-3 1.553746-7 2.540973-3 1.605546-7 2.851018-3 1.668941-7 3.273407-3 1.743046-7 3.728400-3 1.810511-7 3.728400-3 1.495974-4 3.845918-3 1.500540-4 3.942500-3 1.500041-4 3.942500-3 1.793418-4 4.100000-3 1.799149-4 4.213800-3 1.799292-4 4.213800-3 1.874467-4 5.248075-3 1.885923-4 8.413951-3 1.899868-4 1.659587-2 1.910454-4 2.792100-2 1.915572-4 2.792100-2 1.785199-2 3.019952-2 1.793834-2 3.981072-2 1.811668-2 5.888437-2 1.827872-2 9.660509-2 1.839380-2 2.065380-1 1.845906-2 1.348963+0 1.851858-2 1.000000+5 1.851781-2 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.580000-6 0.0 4.910000-6 3.300000-7 4.910000-6 2.078336-7 1.083000-5 6.118274-6 1.083000-5 3.855400-6 1.150000-5 4.816302-6 1.258925-5 6.342805-6 1.364583-5 7.772406-6 1.485000-5 9.333079-6 1.584893-5 1.057021-5 1.710000-5 1.204086-5 1.840772-5 1.348156-5 1.980000-5 1.490985-5 2.140000-5 1.642709-5 2.317395-5 1.797977-5 2.458000-5 1.913828-5 2.458000-5 1.024628-5 2.549000-5 1.109763-5 2.549000-5 9.808426-6 2.870000-5 1.289990-5 3.350000-5 1.752085-5 4.420000-5 2.805284-5 7.500000-5 5.876624-5 8.387000-5 6.766623-5 8.387000-5 6.567125-5 9.077000-5 7.162681-5 9.077000-5 7.043239-5 1.071519-4 8.359632-5 1.166400-4 9.159755-5 1.244515-4 9.888444-5 1.279000-4 1.023354-4 1.279000-4 9.844554-5 1.365000-4 1.073287-4 1.720000-4 1.456488-4 2.065380-4 1.816550-4 2.818383-4 2.579248-4 4.530000-4 4.290289-4 4.530000-4 4.270935-4 4.610400-4 4.343738-4 4.610400-4 4.332477-4 4.677000-4 4.363458-4 4.775000-4 4.393278-4 4.880000-4 4.467257-4 5.120000-4 4.695138-4 6.606700-4 6.183813-4 6.606700-4 6.166040-4 6.772000-4 6.311770-4 6.996200-4 6.533820-4 6.996200-4 6.526787-4 7.762471-4 7.277691-4 8.112400-4 7.624977-4 8.112400-4 7.603115-4 2.786121-3 2.723879-3 3.728400-3 3.663387-3 3.728400-3 3.487635-3 3.942500-3 3.701097-3 3.942500-3 3.667033-3 4.213800-3 3.937516-3 4.213800-3 3.925650-3 2.792100-2 2.761815-2 2.792100-2 9.953831-3 2.884032-2 1.082617-2 3.935501-2 2.112917-2 6.760830-2 4.916998-2 1.000000+5 9.999998+4 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 2.792100-2 7.453379+3 2.827000-2 7.258780+3 2.865000-2 7.037800+3 2.930000-2 6.622340+3 3.019952-2 6.152446+3 3.273407-2 4.977363+3 3.630781-2 3.811886+3 4.216965-2 2.561250+3 5.308844-2 1.370808+3 6.606934-2 7.475935+2 8.317638-2 3.905705+2 1.059254-1 1.957623+2 2.018366-1 3.053288+1 2.454709-1 1.747633+1 2.851018-1 1.147588+1 3.311311-1 7.592844+0 3.758374-1 5.390306+0 4.216965-1 3.974073+0 4.677351-1 3.039629+0 5.188000-1 2.340080+0 5.754399-1 1.813718+0 6.382635-1 1.416192+0 7.079458-1 1.114211+0 7.852356-1 8.832798-1 8.709636-1 7.052936-1 9.549926-1 5.815216-1 1.083927+0 4.505404-1 1.188600+0 3.758211-1 1.364583+0 2.897218-1 1.531087+0 2.347523-1 1.717908+0 1.918309-1 1.949845+0 1.548244-1 2.213095+0 1.258918-1 2.511886+0 1.031562-1 2.884032+0 8.367225-2 3.349654+0 6.722889-2 3.890451+0 5.443190-2 4.570882+0 4.369711-2 5.432503+0 3.480860-2 6.456542+0 2.793461-2 7.943282+0 2.162812-2 9.660509+0 1.711354-2 1.202264+1 1.326713-2 1.513561+1 1.021279-2 2.041738+1 7.337777-3 2.754229+1 5.310868-3 3.981072+1 3.595338-3 6.382635+1 2.201311-3 1.083927+2 1.280113-3 2.162719+2 6.355713-4 4.315191+2 3.170254-4 1.717908+3 7.934378-5 1.000000+5 1.361800-6 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 2.792100-2 1.159200-4 1.000000+5 1.159200-4 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.792100-2 2.122500-2 1.000000+5 2.122500-2 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.792100-2 6.580080-3 1.000000+5 9.999998+4 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 4.213800-3 3.061486+4 4.280000-3 2.981298+4 4.518559-3 2.747994+4 5.233200-3 2.152046+4 5.559043-3 1.931866+4 6.237348-3 1.566467+4 6.683439-3 1.385131+4 7.161434-3 1.216070+4 8.709636-3 8.327612+3 9.660509-3 6.756899+3 1.122018-2 4.968547+3 1.303167-2 3.613081+3 1.462177-2 2.812670+3 1.717908-2 1.963050+3 2.018366-2 1.356459+3 2.344229-2 9.543060+2 2.691535-2 6.850429+2 3.090295-2 4.886297+2 3.589219-2 3.365179+2 4.216965-2 2.234652+2 4.954502-2 1.472756+2 5.888437-2 9.346709+1 7.079458-2 5.708043+1 8.609938-2 3.351841+1 1.059254-1 1.892613+1 1.380384-1 9.039802+0 2.113489-1 2.738371+0 2.600160-1 1.538278+0 3.054921-1 9.889588-1 3.548134-1 6.609962-1 4.027170-1 4.732237-1 4.570882-1 3.412970-1 5.128614-1 2.554498-1 5.754399-1 1.927332-1 6.382635-1 1.506188-1 7.085700-1 1.182980-1 7.852356-1 9.396420-2 8.609938-1 7.693871-2 9.440609-1 6.341148-2 1.059254+0 5.023897-2 1.174898+0 4.092865-2 1.333521+0 3.220396-2 1.500000+0 2.593472-2 1.678804+0 2.125764-2 1.905461+0 1.713172-2 2.162719+0 1.390941-2 2.454709+0 1.138128-2 2.786121+0 9.379589-3 3.235937+0 7.522566-3 3.758374+0 6.080157-3 4.415704+0 4.873029-3 5.248075+0 3.875730-3 6.237348+0 3.105876-3 7.673615+0 2.401495-3 9.332543+0 1.897802-3 1.161449+1 1.469637-3 1.479108+1 1.115674-3 2.000000+1 7.990000-4 2.722701+1 5.723825-4 3.935501+1 3.874103-4 6.309573+1 2.371438-4 1.047129+2 1.411650-4 2.089296+2 7.006260-5 4.168694+2 3.494253-5 1.659587+3 8.743772-6 1.000000+5 1.449800-7 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 4.213800-3 1.298200-4 1.000000+5 1.298200-4 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 4.213800-3 2.377800-4 1.000000+5 2.377800-4 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 4.213800-3 3.846200-3 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 3.942500-3 6.480715+4 4.050000-3 6.190243+4 4.100000-3 6.021700+4 4.466836-3 4.848600+4 4.800000-3 4.022300+4 5.248075-3 3.162300+4 6.382635-3 1.848800+4 7.000000-3 1.427700+4 7.852356-3 1.032600+4 8.912509-3 7.147100+3 1.011579-2 4.931500+3 1.230269-2 2.742900+3 1.445440-2 1.675700+3 1.640590-2 1.131900+3 1.927525-2 6.824200+2 2.317395-2 3.794100+2 2.800000-2 2.058500+2 3.427678-2 1.061700+2 4.265795-2 5.145704+1 5.623413-2 2.042971+1 1.083927-1 2.238663+0 1.396368-1 9.601775-1 1.678804-1 5.224218-1 1.972423-1 3.089151-1 2.290868-1 1.910266-1 2.630268-1 1.234984-1 3.000060-1 8.215547-2 3.388442-1 5.676376-2 3.801894-1 4.030884-2 4.216965-1 2.981994-2 4.677351-1 2.220990-2 5.188000-1 1.665768-2 5.754399-1 1.258333-2 6.382635-1 9.577981-3 6.998420-1 7.566928-3 7.673615-1 6.024162-3 8.511380-1 4.696679-3 9.440609-1 3.679141-3 1.000000+0 3.232283-3 1.071519+0 2.790611-3 1.148154+0 2.426192-3 1.216186+0 2.172081-3 1.348963+0 1.795571-3 1.603245+0 1.321861-3 1.819701+0 1.061892-3 2.044000+0 8.743210-4 2.317395+0 7.142965-4 2.630268+0 5.868479-4 3.019952+0 4.772133-4 3.507519+0 3.843334-4 4.073803+0 3.118667-4 4.786301+0 2.509002-4 5.688529+0 2.002729-4 6.839116+0 1.587227-4 8.317638+0 1.248883-4 1.035142+1 9.634039-5 1.333521+1 7.193909-5 1.659587+1 5.628662-5 2.213095+1 4.103568-5 3.090295+1 2.867887-5 4.518559+1 1.922828-5 7.498942+1 1.138573-5 1.496236+2 5.631732-6 2.985383+2 2.803855-6 1.188502+3 7.006199-7 1.000000+5 8.314500-9 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 3.942500-3 1.090400-4 1.000000+5 1.090400-4 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.942500-3 2.594900-4 1.000000+5 2.594900-4 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 3.942500-3 3.573970-3 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 3.728400-3 1.402292+5 3.813000-3 1.337540+5 4.415704-3 9.099223+4 4.800000-3 7.245440+4 6.025596-3 3.833479+4 7.244360-3 2.262079+4 7.852356-3 1.785431+4 9.500000-3 1.011504+4 1.150000-2 5.641480+3 1.333521-2 3.557129+3 1.531087-2 2.299214+3 1.800000-2 1.368572+3 2.113489-2 8.115783+2 2.511886-2 4.589342+2 2.985383-2 2.575307+2 3.589219-2 1.379987+2 4.415704-2 6.783650+1 5.559043-2 3.055662+1 7.413102-2 1.117502+1 1.244515-1 1.818334+0 1.513561-1 9.217099-1 1.798871-1 5.098181-1 2.065380-1 3.194810-1 2.344229-1 2.095671-1 2.630268-1 1.437835-1 2.951209-1 9.935996-2 3.273407-1 7.174133-2 3.630781-1 5.218090-2 3.981072-1 3.957941-2 4.365158-1 3.021979-2 4.786301-1 2.323785-2 5.248075-1 1.799975-2 5.688529-1 1.448728-2 6.237348-1 1.138887-2 6.839117-1 9.020573-3 7.498942-1 7.193893-3 8.222427-1 5.777858-3 9.015711-1 4.676296-3 9.885531-1 3.814114-3 1.071519+0 3.224956-3 1.161449+0 2.744236-3 1.258925+0 2.352685-3 1.396368+0 1.944844-3 1.640590+0 1.461080-3 1.862087+0 1.175314-3 2.089296+0 9.709713-4 2.371374+0 7.929200-4 2.691535+0 6.521863-4 3.090295+0 5.308840-4 3.589219+0 4.280777-4 4.168694+0 3.477390-4 4.897788+0 2.800523-4 5.821032+0 2.237619-4 7.000000+0 1.774600-4 8.511380+0 1.397839-4 1.071519+1 1.064729-4 1.364583+1 8.065550-5 1.698244+1 6.313515-5 2.290868+1 4.548584-5 3.235937+1 3.142835-5 4.841724+1 2.059029-5 8.035261+1 1.220593-5 1.603245+2 6.042828-6 3.198895+2 3.009814-6 1.273503+3 7.522945-7 1.000000+5 9.567800-9 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 3.728400-3 1.029900-4 1.000000+5 1.029900-4 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.728400-3 2.166700-4 1.000000+5 2.166700-4 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.728400-3 3.408740-3 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 8.112400-4 9.761186+4 8.550000-4 9.001540+4 8.912509-4 8.534017+4 9.350000-4 8.108220+4 1.110000-3 6.520460+4 1.170000-3 6.082480+4 1.412538-3 4.648677+4 1.531087-3 4.115439+4 1.840772-3 3.081314+4 2.065380-3 2.550022+4 2.400000-3 1.979026+4 2.818383-3 1.494161+4 3.198895-3 1.190634+4 3.758374-3 8.852335+3 4.466836-3 6.388412+3 5.308844-3 4.570617+3 6.309573-3 3.243039+3 7.413102-3 2.336819+3 8.709636-3 1.671421+3 1.023293-2 1.186492+3 1.202264-2 8.358633+2 1.412538-2 5.843695+2 1.659587-2 4.054046+2 1.949845-2 2.791503+2 2.290868-2 1.907451+2 2.691535-2 1.293283+2 3.162278-2 8.702700+1 3.715352-2 5.812253+1 4.365158-2 3.853598+1 5.188000-2 2.461976+1 6.165950-2 1.561049+1 7.413102-2 9.526993+0 9.015711-2 5.594111+0 1.122019-1 3.060522+0 1.531088-1 1.286371+0 2.065380-1 5.570134-1 2.660725-1 2.761781-1 3.162278-1 1.724084-1 3.630781-1 1.190363-1 4.120975-1 8.534657-2 4.623810-1 6.350018-2 5.188000-1 4.758583-2 5.754399-1 3.695094-2 6.382635-1 2.888881-2 7.079458-1 2.274648-2 7.852356-1 1.803970-2 8.709636-1 1.440489-2 9.549926-1 1.187541-2 1.083927+0 9.199085-3 1.188600+0 7.673207-3 1.364583+0 5.915519-3 1.531087+0 4.793156-3 1.717908+0 3.916515-3 1.949845+0 3.160862-3 2.213095+0 2.570253-3 2.511886+0 2.105949-3 2.884032+0 1.707966-3 3.349654+0 1.372249-3 3.890451+0 1.111040-3 4.570882+0 8.919437-4 5.432503+0 7.105274-4 6.456542+0 5.702090-4 7.943282+0 4.414889-4 9.660509+0 3.493384-4 1.188502+1 2.744181-4 1.500000+1 2.105800-4 2.018366+1 1.516761-4 2.722701+1 1.097517-4 3.890451+1 7.518357-5 6.165950+1 4.656394-5 1.011579+2 2.803596-5 2.018366+2 1.391098-5 4.027170+2 6.936794-6 1.603245+3 1.735494-6 1.000000+5 2.779800-8 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 8.112400-4 9.978800-5 1.000000+5 9.978800-5 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 8.112400-4 3.322900-7 1.000000+5 3.322900-7 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 8.112400-4 7.111197-4 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 6.996200-4 6.211580+4 6.998420-4 6.429245+4 7.001500-4 6.783160+4 7.005000-4 7.172280+4 7.008500-4 7.547740+4 7.013500-4 8.059060+4 7.018000-4 8.493040+4 7.023000-4 8.947980+4 7.027000-4 9.292640+4 7.032000-4 9.694500+4 7.038000-4 1.013786+5 7.045000-4 1.060646+5 7.052000-4 1.102456+5 7.060000-4 1.144410+5 7.067000-4 1.176256+5 7.075000-4 1.207642+5 7.085000-4 1.240494+5 7.095000-4 1.267024+5 7.110000-4 1.297404+5 7.127000-4 1.321194+5 7.142000-4 1.335130+5 7.161434-4 1.346457+5 7.190800-4 1.354410+5 7.540000-4 1.361050+5 7.673615-4 1.352581+5 7.852356-4 1.328006+5 8.609938-4 1.225442+5 9.225714-4 1.144835+5 9.885531-4 1.061597+5 1.070000-3 9.655700+4 1.150000-3 8.791840+4 1.230269-3 8.022010+4 1.318257-3 7.248361+4 1.479108-3 6.058372+4 1.603245-3 5.309424+4 1.757924-3 4.525091+4 1.950000-3 3.754020+4 2.137962-3 3.156730+4 2.400000-3 2.517860+4 2.630268-3 2.091748+4 2.951209-3 1.643300+4 3.273407-3 1.313499+4 3.672823-3 1.016089+4 4.073803-3 8.010251+3 4.570882-3 6.107059+3 5.128614-3 4.621960+3 5.754399-3 3.474056+3 6.531306-3 2.517935+3 7.413102-3 1.810507+3 8.413951-3 1.291778+3 9.549926-3 9.147589+2 1.080000-2 6.497160+2 1.216186-2 4.640728+2 1.380384-2 3.220896+2 1.584893-2 2.147051+2 1.840772-2 1.372403+2 2.137962-2 8.704395+1 2.483133-2 5.480413+1 2.917427-2 3.303322+1 3.467369-2 1.905262+1 4.168694-2 1.051075+1 5.128614-2 5.340025+0 6.683439-2 2.227241+0 1.244515-1 2.821308-1 1.566751-1 1.321568-1 1.840772-1 7.819780-2 2.187762-1 4.495653-2 2.511886-1 2.907755-2 2.851018-1 1.963382-2 3.235937-1 1.335148-2 3.630781-1 9.468418-3 4.073803-1 6.764191-3 4.518559-1 5.031962-3 5.011872-1 3.769229-3 5.559043-1 2.844409-3 6.165950-1 2.162310-3 6.839117-1 1.655958-3 7.498942-1 1.315092-3 8.609938-1 9.393055-4 9.225714-1 7.992306-4 9.772372-1 7.028550-4 1.047129+0 6.073001-4 1.135011+0 5.154851-4 1.216186+0 4.507285-4 1.348963+0 3.719029-4 1.548817+0 2.906811-4 1.757924+0 2.331031-4 1.995262+0 1.882903-4 2.264644+0 1.533269-4 2.570396+0 1.258125-4 2.951209+0 1.021908-4 3.427678+0 8.220568-5 4.000000+0 6.619800-5 4.677351+0 5.354874-5 5.559043+0 4.270067-5 6.683439+0 3.381035-5 8.128305+0 2.658044-5 1.000000+1 2.076700-5 1.258925+1 1.590101-5 1.584893+1 1.226222-5 2.113489+1 8.930333-6 2.884032+1 6.389535-6 4.168694+1 4.329641-6 6.760830+1 2.621676-6 1.244515+2 1.405590-6 2.483133+2 6.987239-7 4.954502+2 3.487153-7 3.935501+3 4.374778-8 1.000000+5 1.721000-9 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 6.996200-4 7.800800-5 1.000000+5 7.800800-5 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.996200-4 3.286100-7 1.000000+5 3.286100-7 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.996200-4 6.212834-4 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 6.606700-4 1.548104+5 6.608500-4 1.589508+5 6.611500-4 1.673604+5 6.614500-4 1.755792+5 6.619000-4 1.873668+5 6.623500-4 1.985544+5 6.628000-4 2.092248+5 6.633000-4 2.203300+5 6.637000-4 2.287344+5 6.642000-4 2.386032+5 6.648000-4 2.494932+5 6.655000-4 2.609580+5 6.661000-4 2.697900+5 6.669000-4 2.802356+5 6.677000-4 2.892716+5 6.685000-4 2.970300+5 6.695000-4 3.051188+5 6.707000-4 3.128096+5 6.719000-4 3.186880+5 6.735000-4 3.242972+5 6.750000-4 3.278000+5 6.772000-4 3.308088+5 6.800000-4 3.323568+5 6.850000-4 3.323064+5 7.161434-4 3.287533+5 7.300000-4 3.248148+5 8.222426-4 2.869498+5 8.912509-4 2.613618+5 9.549926-4 2.396684+5 1.035142-3 2.150985+5 1.150000-3 1.849160+5 1.230269-3 1.667646+5 1.364583-3 1.408241+5 1.500000-3 1.199688+5 1.621810-3 1.043744+5 1.819701-3 8.425425+4 2.000000-3 7.022280+4 2.238721-3 5.598965+4 2.483133-3 4.516573+4 2.786121-3 3.527659+4 3.090295-3 2.805170+4 3.467369-3 2.158123+4 3.890451-3 1.647461+4 4.365158-3 1.248338+4 4.897788-3 9.391365+3 5.500000-3 7.000440+3 6.165950-3 5.205303+3 6.918310-3 3.836974+3 7.852356-3 2.722715+3 8.912509-3 1.917049+3 1.011579-2 1.339732+3 1.161449-2 8.986781+2 1.318257-2 6.186744+2 1.500000-2 4.199040+2 1.717908-2 2.775447+2 1.982070-2 1.779536+2 2.290868-2 1.126426+2 2.660725-2 6.967039+1 3.126079-2 4.119440+1 3.672823-2 2.417276+1 4.365158-2 1.355098+1 5.308844-2 6.975788+0 6.606934-2 3.294834+0 1.333521-1 2.899149-1 1.640590-1 1.424534-1 1.927525-1 8.254497-2 2.238721-1 5.010034-2 2.540973-1 3.307408-2 2.851018-1 2.283419-2 3.162278-1 1.647040-2 3.507519-1 1.196409-2 3.890451-1 8.755873-3 4.265795-1 6.679221-3 4.677351-1 5.129589-3 5.128614-1 3.967690-3 5.623413-1 3.092033-3 6.095369-1 2.501548-3 6.683439-1 1.978335-3 7.328245-1 1.576557-3 8.222427-1 1.198411-3 8.912509-1 9.946360-4 9.549926-1 8.534043-4 1.023293+0 7.375317-4 1.122018+0 6.116554-4 1.216186+0 5.227338-4 1.348963+0 4.307898-4 1.531087+0 3.430459-4 1.737801+0 2.748798-4 1.972423+0 2.219031-4 2.213095+0 1.839083-4 2.511886+0 1.506926-4 2.884032+0 1.222283-4 3.349654+0 9.820591-5 3.890451+0 7.951066-5 4.570882+0 6.382890-5 5.432503+0 5.084622-5 6.456542+0 4.080489-5 7.943282+0 3.159384-5 9.660509+0 2.499908-5 1.200000+1 1.942200-5 1.513561+1 1.491815-5 2.041738+1 1.071834-5 2.786121+1 7.662847-6 4.027170+1 5.188841-6 6.456542+1 3.177534-6 1.122018+2 1.805280-6 2.238721+2 8.966037-7 4.466836+2 4.472825-7 1.778279+3 1.119633-7 1.000000+5 1.989300-9 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 6.606700-4 7.534800-5 1.000000+5 7.534800-5 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 6.606700-4 2.333100-7 1.000000+5 2.333100-7 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 6.606700-4 5.850887-4 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 4.610400-4 4.726855+4 4.640000-4 4.867240+4 4.645000-4 4.917360+4 4.650000-4 4.993200+4 4.655000-4 5.096200+4 4.660000-4 5.228840+4 4.666000-4 5.432160+4 4.671000-4 5.642240+4 4.677000-4 5.949400+4 4.683000-4 6.323960+4 4.688000-4 6.693160+4 4.692000-4 7.029520+4 4.697000-4 7.505920+4 4.702000-4 8.050080+4 4.708000-4 8.799720+4 4.714000-4 9.665200+4 4.721000-4 1.083540+5 4.733000-4 1.328852+5 4.755000-4 1.946236+5 4.765000-4 2.305524+5 4.775000-4 2.714536+5 4.785000-4 3.172776+5 4.792000-4 3.520896+5 4.800000-4 3.944696+5 4.807000-4 4.335400+5 4.815000-4 4.802000+5 4.823000-4 5.286680+5 4.832000-4 5.849600+5 4.841724-4 6.471632+5 4.850000-4 7.008200+5 4.858000-4 7.529360+5 4.865000-4 7.984920+5 4.873000-4 8.502200+5 4.883000-4 9.139960+5 4.890000-4 9.578440+5 4.900000-4 1.018976+6 4.911000-4 1.083804+6 4.923000-4 1.151140+6 4.935000-4 1.214480+6 4.945000-4 1.263940+6 4.958000-4 1.323348+6 4.973000-4 1.384696+6 4.985000-4 1.428092+6 5.000000-4 1.475216+6 5.016700-4 1.518370+6 5.035000-4 1.555016+6 5.050000-4 1.577436+6 5.070000-4 1.597768+6 5.090000-4 1.608892+6 5.120000-4 1.611772+6 5.150000-4 1.602928+6 5.190000-4 1.580512+6 5.370318-4 1.456078+6 5.900000-4 1.192088+6 6.531306-4 9.763163+5 7.161434-4 8.069281+5 7.673615-4 6.950346+5 8.222426-4 5.945993+5 8.810489-4 5.052928+5 9.700000-4 3.992160+5 1.035142-3 3.384422+5 1.135011-3 2.654633+5 1.258925-3 2.006283+5 1.380384-3 1.551762+5 1.548817-3 1.117725+5 1.698244-3 8.541348+4 1.927525-3 5.855024+4 2.150000-3 4.192920+4 2.400000-3 2.976652+4 2.722701-3 1.991188+4 3.019952-3 1.421806+4 3.400000-3 9.606080+3 3.890451-3 6.096368+3 4.415704-3 3.944016+3 5.000000-3 2.553324+3 5.623413-3 1.681438+3 6.309573-3 1.109625+3 7.161434-3 6.973974+2 8.128305-3 4.351240+2 9.225714-3 2.695493+2 1.050000-2 1.641216+2 1.202264-2 9.697846+1 1.396368-2 5.378444+1 1.621810-2 2.960937+1 1.905461-2 1.544561+1 2.238721-2 7.994934+0 2.691535-2 3.736163+0 3.273407-2 1.652076+0 4.315191-2 5.173171-1 7.413102-2 5.290716-2 9.332543-2 2.018007-2 1.135011-1 8.957426-3 1.333521-1 4.622523-3 1.531088-1 2.640520-3 1.737801-1 1.591362-3 1.972423-1 9.659039-4 2.213095-1 6.176102-4 2.483133-1 3.976757-4 2.786121-1 2.580060-4 3.126079-1 1.687356-4 3.467369-1 1.159891-4 3.801894-1 8.366790-5 4.216965-1 5.837786-5 4.570882-1 4.439939-5 4.954502-1 3.398657-5 5.370318-1 2.623852-5 5.888437-1 1.966437-5 6.683439-1 1.328160-5 7.328245-1 1.005115-5 7.943282-1 7.931498-6 8.511380-1 6.488709-6 9.015711-1 5.526674-6 9.440609-1 4.890770-6 9.885531-1 4.356337-6 1.035142+0 3.909359-6 1.083927+0 3.534160-6 1.135011+0 3.214794-6 1.202264+0 2.875365-6 1.288250+0 2.533196-6 1.412538+0 2.157146-6 1.531087+0 1.879760-6 1.819701+0 1.392406-6 2.018366+0 1.169827-6 2.290868+0 9.532872-7 2.600160+0 7.826157-7 2.985383+0 6.359241-7 3.467369+0 5.118467-7 4.027170+0 4.151110-7 4.731513+0 3.337817-7 5.623413+0 2.662923-7 6.760830+0 2.109497-7 8.222427+0 1.659177-7 1.011579+1 1.296721-7 1.273503+1 9.932547-8 1.603245+1 7.663010-8 2.113489+1 5.652485-8 2.884032+1 4.044277-8 4.168694+1 2.740483-8 6.683439+1 1.679220-8 1.216186+2 9.107009-9 2.426610+2 4.526490-9 4.841724+2 2.258789-9 3.845918+3 2.83361-10 1.000000+5 1.08930-11 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 4.610400-4 4.625000-5 1.000000+5 4.625000-5 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.610400-4 1.326500-7 1.000000+5 1.326500-7 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.610400-4 4.146574-4 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 4.530000-4 7.303140+4 4.537000-4 7.174260+4 4.542000-4 7.108740+4 4.548000-4 7.068480+4 4.552000-4 7.065540+4 4.557000-4 7.090320+4 4.562000-4 7.147920+4 4.568000-4 7.265880+4 4.574000-4 7.443060+4 4.579500-4 7.663140+4 4.585000-4 7.944480+4 4.591000-4 8.329980+4 4.596000-4 8.721300+4 4.600000-4 9.084900+4 4.605000-4 9.608520+4 4.610000-4 1.021632+5 4.615000-4 1.091622+5 4.620600-4 1.181983+5 4.627000-4 1.302282+5 4.635000-4 1.481028+5 4.644000-4 1.724190+5 4.655000-4 2.089176+5 4.677000-4 3.072936+5 4.689000-4 3.763230+5 4.697000-4 4.284438+5 4.704000-4 4.779192+5 4.711000-4 5.308158+5 4.718000-4 5.869242+5 4.726000-4 6.546060+5 4.735000-4 7.346940+5 4.742000-4 7.994100+5 4.750000-4 8.754420+5 4.757000-4 9.433560+5 4.765000-4 1.022058+6 4.774000-4 1.111338+6 4.783800-4 1.208700+6 4.792000-4 1.289658+6 4.803000-4 1.396764+6 4.815000-4 1.510614+6 4.826000-4 1.611348+6 4.835000-4 1.690674+6 4.845000-4 1.775112+6 4.858000-4 1.878396+6 4.869000-4 1.959606+6 4.880000-4 2.034792+6 4.895000-4 2.127024+6 4.907000-4 2.192136+6 4.923000-4 2.266878+6 4.940000-4 2.331498+6 4.958000-4 2.384202+6 4.980000-4 2.428686+6 5.000000-4 2.452716+6 5.020000-4 2.463750+6 5.050000-4 2.461728+6 5.080000-4 2.444118+6 5.135000-4 2.390952+6 5.300000-4 2.216652+6 5.821032-4 1.814879+6 6.456542-4 1.477768+6 7.161434-4 1.189563+6 7.673615-4 1.022100+6 8.222426-4 8.723716+5 8.709636-4 7.608551+5 9.549926-4 6.062860+5 1.023293-3 5.082655+5 1.122018-3 3.981695+5 1.244515-3 3.004660+5 1.364583-3 2.321231+5 1.513561-3 1.725648+5 1.678804-3 1.273651+5 1.862087-3 9.343691+4 2.089296-3 6.570449+4 2.317395-3 4.755447+4 2.630268-3 3.175712+4 2.951209-3 2.182141+4 3.300000-3 1.506294+4 3.758374-3 9.702488+3 4.315191-3 6.024144+3 4.954502-3 3.705580+3 5.688529-3 2.258381+3 6.531306-3 1.363831+3 7.500000-3 8.156220+2 8.511380-3 5.056595+2 9.660509-3 3.110795+2 1.100000-2 1.877292+2 1.258925-2 1.102819+2 1.445440-2 6.352974+1 1.678804-2 3.468378+1 1.949845-2 1.879310+1 2.290868-2 9.637211+0 2.722701-2 4.674884+0 3.273407-2 2.144763+0 4.168694-2 7.646431-1 7.673615-2 5.589562-2 9.440609-2 2.312235-2 1.135011-1 1.062911-2 1.318257-1 5.691342-3 1.513561-1 3.221051-3 1.678804-1 2.111292-3 1.840772-1 1.459175-3 2.065380-1 9.252675-4 2.265100-1 6.465253-4 2.483133-1 4.554539-4 2.722701-1 3.228696-4 2.985383-1 2.305982-4 3.273407-1 1.659624-4 3.589219-1 1.203736-4 3.935501-1 8.799491-5 4.315191-1 6.483124-5 4.677351-1 4.995558-5 5.128614-1 3.736567-5 5.559043-1 2.917793-5 6.000000-1 2.325706-5 6.456542-1 1.891423-5 6.998420-1 1.519905-5 7.585776-1 1.230338-5 8.035261-1 1.061203-5 8.609938-1 8.858364-6 9.120108-1 7.662944-6 9.660509-1 6.673376-6 1.011579+0 6.009950-6 1.071519+0 5.308180-6 1.135011+0 4.717353-6 1.202264+0 4.217385-6 1.318257+0 3.559236-6 1.462177+0 2.964128-6 1.757924+0 2.149026-6 1.972423+0 1.768582-6 2.238721+0 1.439273-6 2.540973+0 1.180065-6 2.917427+0 9.576144-7 3.388442+0 7.698475-7 3.935501+0 6.236611-7 4.623810+0 5.009313-7 5.495409+0 3.992439-7 6.606934+0 3.159625-7 8.128305+0 2.448611-7 9.885531+0 1.939051-7 1.230269+1 1.504095-7 1.566751+1 1.144139-7 2.089296+1 8.330494-8 2.851018+1 5.958775-8 4.120975+1 4.036785-8 6.606934+1 2.473036-8 1.174898+2 1.372880-8 2.344229+2 6.821318-9 4.677351+2 3.403537-9 3.715352+3 4.26895-10 1.000000+5 1.58540-11 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 4.530000-4 4.430700-5 1.000000+5 4.430700-5 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.530000-4 2.64020-10 1.000000+5 2.64020-10 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.530000-4 4.086927-4 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.279000-4 1.752764+5 1.698244-4 1.657818+5 1.778279-4 1.631683+5 1.883649-4 1.585641+5 2.065380-4 1.499290+5 2.264644-4 1.408207+5 2.426610-4 1.335101+5 2.600160-4 1.256784+5 2.818383-4 1.161655+5 3.126079-4 1.041366+5 3.467369-4 9.271835+4 3.801894-4 8.298925+4 4.265795-4 7.161814+4 4.786301-4 6.141247+4 5.370318-4 5.226423+4 6.200000-4 4.235640+4 7.000000-4 3.524060+4 8.222426-4 2.737051+4 9.549926-4 2.147099+4 1.122018-3 1.641778+4 1.348963-3 1.198498+4 1.659587-3 8.339845+3 2.041738-3 5.757583+3 2.500000-3 3.979640+3 3.054921-3 2.740169+3 3.672823-3 1.930153+3 4.365158-3 1.380028+3 5.248075-3 9.572870+2 6.309573-3 6.588689+2 7.585776-3 4.499155+2 9.015711-3 3.123830+2 1.071519-2 2.152338+2 1.273503-2 1.471390+2 1.500000-2 1.018370+2 1.757924-2 7.076925+1 2.065380-2 4.854464+1 2.426610-2 3.305621+1 2.851018-2 2.234436+1 3.349654-2 1.499372+1 3.935501-2 9.988858+0 4.677351-2 6.414669+0 5.495409-2 4.211791+0 6.606934-2 2.583589+0 8.035261-2 1.525030+0 9.885531-2 8.640474-1 1.303167-1 4.014497-1 2.371374-1 7.561520-2 2.851018-1 4.553797-2 3.349654-1 2.942766-2 3.845918-1 2.038740-2 4.365158-1 1.467080-2 4.897788-1 1.095433-2 5.495409-1 8.241032-3 6.095369-1 6.422961-3 6.760830-1 5.041564-3 7.498942-1 3.985568-3 8.413951-1 3.094760-3 9.225714-1 2.544680-3 1.011579+0 2.107255-3 1.161449+0 1.600694-3 1.288250+0 1.313932-3 1.462177+0 1.039000-3 1.621810+0 8.634639-4 1.819701+0 7.080195-4 2.065380+0 5.733355-4 2.344229+0 4.678379-4 2.660725+0 3.845782-4 3.054921+0 3.128907-4 3.548134+0 2.521473-4 4.120975+0 2.047149-4 4.841724+0 1.647793-4 5.754399+0 1.315934-4 6.918310+0 1.043467-4 8.413951+0 8.213780-5 1.047129+1 6.338494-5 1.348963+1 4.735359-5 1.678804+1 3.705861-5 2.264644+1 2.669001-5 3.198895+1 1.843636-5 4.731513+1 1.222190-5 7.762471+1 7.328515-6 1.548817+2 3.626509-6 3.090295+2 1.805886-6 1.230269+3 4.513240-7 1.000000+5 5.544700-9 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.279000-4 4.741800-5 1.000000+5 4.741800-5 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.279000-4 4.34250-10 1.000000+5 4.34250-10 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.279000-4 8.048157-5 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 9.077000-5 3.385900+5 9.130000-5 3.433560+5 9.190000-5 3.473740+5 9.250000-5 3.498440+5 9.332543-5 3.509868+5 9.420000-5 3.499960+5 9.500000-5 3.472380+5 9.610000-5 3.413360+5 9.720000-5 3.336620+5 9.850000-5 3.230500+5 1.000000-4 3.096380+5 1.023293-4 2.882282+5 1.100000-4 2.273740+5 1.135011-4 2.062601+5 1.174898-4 1.865413+5 1.216186-4 1.700886+5 1.244515-4 1.607082+5 1.280000-4 1.507832+5 1.318257-4 1.420077+5 1.350000-4 1.360076+5 1.390000-4 1.298382+5 1.430000-4 1.249636+5 1.465000-4 1.215704+5 1.513561-4 1.179382+5 1.566751-4 1.150581+5 1.621810-4 1.129421+5 1.701200-4 1.108864+5 1.819701-4 1.089774+5 2.162719-4 1.053286+5 2.350000-4 1.030024+5 2.540973-4 1.001715+5 2.730000-4 9.700300+4 2.951209-4 9.303116+4 3.200000-4 8.843700+4 3.467369-4 8.346878+4 3.758374-4 7.813974+4 4.100000-4 7.219940+4 4.500000-4 6.584880+4 4.897788-4 6.012784+4 5.370318-4 5.405654+4 5.956621-4 4.757090+4 6.531306-4 4.218165+4 7.244360-4 3.655163+4 8.035261-4 3.145714+4 9.000000-4 2.647380+4 1.011579-3 2.198211+4 1.122018-3 1.851683+4 1.258925-3 1.520252+4 1.412538-3 1.239408+4 1.584893-3 1.003938+4 1.800000-3 7.892480+3 2.018366-3 6.314528+3 2.264644-3 5.013786+3 2.540973-3 3.955182+3 2.851018-3 3.099145+3 3.198895-3 2.411962+3 3.589219-3 1.864172+3 4.027170-3 1.430942+3 4.518559-3 1.090886+3 5.128614-3 8.032380+2 5.821032-3 5.868653+2 6.606934-3 4.255411+2 7.498942-3 3.062960+2 8.511380-3 2.188735+2 9.660509-3 1.552839+2 1.096478-2 1.093959+2 1.258925-2 7.407420+1 1.445440-2 4.976580+1 1.659587-2 3.318223+1 1.905461-2 2.196924+1 2.213095-2 1.394655+1 2.570396-2 8.788286+0 3.019952-2 5.304513+0 3.589219-2 3.063969+0 4.315191-2 1.693134+0 5.248075-2 8.948246-1 6.760830-2 3.883801-1 1.288250-1 4.582670-2 1.584893-1 2.320793-2 1.883649-1 1.325399-2 2.213095-1 7.914120-3 2.540973-1 5.122247-3 2.884032-1 3.460740-3 3.273407-1 2.355172-3 3.672823-1 1.671565-3 4.120975-1 1.195182-3 4.570882-1 8.898024-4 5.069907-1 6.670643-4 5.623413-1 5.038016-4 6.237348-1 3.833445-4 6.918310-1 2.939257-4 7.673615-1 2.271611-4 8.609938-1 1.717432-4 9.225714-1 1.460992-4 9.772372-1 1.283951-4 1.047129+0 1.107951-4 1.122018+0 9.619787-5 1.202264+0 8.405050-5 1.333521+0 6.932431-5 1.513561+0 5.527899-5 1.737801+0 4.340368-5 1.972423+0 3.502999-5 2.213095+0 2.903109-5 2.511886+0 2.378679-5 2.884032+0 1.929279-5 3.349654+0 1.550119-5 3.890451+0 1.255065-5 4.570882+0 1.007539-5 5.432503+0 8.025945-6 6.456542+0 6.440961-6 7.943282+0 4.986914-6 9.660509+0 3.945997-6 1.188502+1 3.099794-6 1.500000+1 2.378600-6 2.041738+1 1.691889-6 2.754229+1 1.224559-6 3.981072+1 8.289933-7 6.309573+1 5.136206-7 1.047129+2 3.057356-7 2.089296+2 1.517468-7 4.168694+2 7.568086-8 1.659587+3 1.893734-8 1.000000+5 3.14000-10 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 9.077000-5 3.324100-5 1.000000+5 3.324100-5 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 9.077000-5 4.93730-10 1.000000+5 4.93730-10 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 9.077000-5 5.752851-5 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 8.387000-5 7.649640+5 8.460000-5 7.685040+5 8.540000-5 7.678920+5 8.642100-5 7.617224+5 8.740000-5 7.514000+5 8.850000-5 7.357280+5 9.000000-5 7.102240+5 9.150000-5 6.821400+5 9.440609-5 6.268155+5 9.950000-5 5.421000+5 1.030000-4 4.958440+5 1.060000-4 4.630440+5 1.096478-4 4.301396+5 1.135011-4 4.020689+5 1.174898-4 3.787440+5 1.216186-4 3.595161+5 1.260000-4 3.435140+5 1.304600-4 3.309604+5 1.350000-4 3.212364+5 1.400000-4 3.132476+5 1.462177-4 3.061429+5 1.548817-4 2.994405+5 1.905461-4 2.820685+5 2.089296-4 2.729651+5 2.264644-4 2.633954+5 2.454709-4 2.521829+5 2.660725-4 2.395891+5 2.900000-4 2.251148+5 3.162278-4 2.098457+5 3.430000-4 1.950760+5 3.715352-4 1.803206+5 4.100000-4 1.623340+5 4.518559-4 1.452840+5 4.954502-4 1.298114+5 5.432503-4 1.152023+5 6.095369-4 9.843113+4 6.700000-4 8.590080+4 7.500000-4 7.246400+4 8.413951-4 6.045513+4 9.440609-4 5.001688+4 1.047129-3 4.192329+4 1.174898-3 3.422057+4 1.333521-3 2.716291+4 1.513561-3 2.139314+4 1.698244-3 1.710417+4 1.905461-3 1.359236+4 2.150000-3 1.060952+4 2.426610-3 8.219545+3 2.722701-3 6.405588+3 3.054921-3 4.957378+3 3.427678-3 3.810311+3 3.845918-3 2.908713+3 4.315191-3 2.205339+3 4.897788-3 1.613882+3 5.559043-3 1.171781+3 6.309573-3 8.441965+2 7.161434-3 6.035786+2 8.128305-3 4.283755+2 9.225714-3 3.018198+2 1.047129-2 2.110754+2 1.188502-2 1.465643+2 1.348963-2 1.010669+2 1.548817-2 6.686295+1 1.778279-2 4.389367+1 2.041738-2 2.860349+1 2.371374-2 1.784335+1 2.754229-2 1.104510+1 3.198895-2 6.787372+0 3.758374-2 3.987629+0 4.415704-2 2.326099+0 5.308844-2 1.246683+0 6.683439-2 5.669017-1 1.348963-1 5.014947-2 1.659587-1 2.467621-2 1.949845-1 1.431565-2 2.238721-1 9.038951-3 2.540973-1 5.972201-3 2.851018-1 4.126118-3 3.162278-1 2.977405-3 3.507519-1 2.163273-3 3.890451-1 1.583535-3 4.265795-1 1.208348-3 4.677351-1 9.283347-4 5.128614-1 7.182883-4 5.623413-1 5.598968-4 6.165950-1 4.397323-4 6.760830-1 3.480471-4 7.413102-1 2.775754-4 8.317638-1 2.111554-4 9.015711-1 1.754776-4 9.660509-1 1.507608-4 1.035142+0 1.304576-4 1.135011+0 1.082956-4 1.230269+0 9.264097-5 1.364583+0 7.640310-5 1.566751+0 5.964550-5 1.778279+0 4.785467-5 2.018366+0 3.868695-5 2.290868+0 3.152422-5 2.600160+0 2.588078-5 2.985383+0 2.103090-5 3.467369+0 1.692766-5 4.027170+0 1.372836-5 4.731513+0 1.103825-5 5.623413+0 8.806661-6 6.760830+0 6.976591-6 8.222427+0 5.486992-6 1.011579+1 4.288536-6 1.273503+1 3.284883-6 1.603245+1 2.534282-6 2.113489+1 1.869323-6 2.884032+1 1.337481-6 4.168694+1 9.063038-7 6.760830+1 5.487779-7 1.244515+2 2.942183-7 2.483133+2 1.462605-7 4.954502+2 7.299378-8 3.935501+3 9.157524-9 1.000000+5 3.60250-10 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 8.387000-5 3.186400-5 1.000000+5 3.186400-5 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 8.387000-5 3.19450-10 1.000000+5 3.19450-10 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 8.387000-5 5.200568-5 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 2.549000-5 2.163228+6 2.580000-5 2.145008+6 2.610000-5 2.136328+6 2.640000-5 2.136068+6 2.685000-5 2.151672+6 2.722701-5 2.179698+6 2.770000-5 2.231716+6 2.815000-5 2.299824+6 2.851018-5 2.367542+6 2.900000-5 2.477344+6 2.951209-5 2.614455+6 3.000000-5 2.766200+6 3.060000-5 2.981320+6 3.126079-5 3.255058+6 3.198895-5 3.601583+6 3.300000-5 4.161600+6 3.672823-5 6.982560+6 3.770000-5 7.883440+6 3.850000-5 8.658880+6 3.950000-5 9.655320+6 4.030000-5 1.045924+7 4.120975-5 1.136237+7 4.180000-5 1.193348+7 4.265795-5 1.272816+7 4.350000-5 1.345532+7 4.420000-5 1.400912+7 4.500000-5 1.457528+7 4.570882-5 1.501363+7 4.650000-5 1.542656+7 4.731513-5 1.576408+7 4.820000-5 1.602856+7 4.920000-5 1.620152+7 5.011872-5 1.624700+7 5.110000-5 1.618380+7 5.190000-5 1.605560+7 5.300000-5 1.578100+7 5.400000-5 1.544144+7 5.500000-5 1.502948+7 5.623413-5 1.444028+7 5.730000-5 1.387600+7 5.850000-5 1.319660+7 5.956621-5 1.256651+7 6.095369-5 1.172579+7 6.237348-5 1.085817+7 6.382635-5 9.978773+6 6.531306-5 9.101993+6 6.683439-5 8.241417+6 6.850000-5 7.353200+6 7.000000-5 6.608600+6 7.161434-5 5.869895+6 7.350000-5 5.090600+6 7.500000-5 4.533720+6 7.673615-5 3.955449+6 7.900000-5 3.300040+6 8.128305-5 2.742370+6 8.317638-5 2.348706+6 8.570000-5 1.907636+6 8.810489-5 1.562958+6 9.070000-5 1.259592+6 9.332543-5 1.012122+6 9.549926-5 8.443913+5 9.885531-5 6.386861+5 1.023293-4 4.794125+5 1.090000-4 2.816296+5 1.112700-4 2.377231+5 1.135011-4 2.031687+5 1.150000-4 1.840504+5 1.166400-4 1.664142+5 1.180000-4 1.541028+5 1.194000-4 1.433832+5 1.205000-4 1.362164+5 1.217000-4 1.295424+5 1.230269-4 1.234244+5 1.244515-4 1.181830+5 1.255000-4 1.151176+5 1.265000-4 1.127624+5 1.276400-4 1.106982+5 1.290000-4 1.090196+5 1.304600-4 1.080651+5 1.318257-4 1.078764+5 1.335000-4 1.084580+5 1.350900-4 1.097297+5 1.365000-4 1.113644+5 1.385000-4 1.143776+5 1.400000-4 1.170904+5 1.430000-4 1.234408+5 1.465000-4 1.319928+5 1.560000-4 1.581492+5 1.611900-4 1.727440+5 1.659587-4 1.857302+5 1.705000-4 1.974856+5 1.760000-4 2.107180+5 1.800000-4 2.195632+5 1.862087-4 2.319182+5 1.905461-4 2.395541+5 1.972423-4 2.497808+5 2.041738-4 2.584519+5 2.113489-4 2.654824+5 2.190000-4 2.709968+5 2.264644-4 2.746830+5 2.350000-4 2.771760+5 2.454709-4 2.780511+5 2.570396-4 2.767695+5 2.691535-4 2.736019+5 2.818383-4 2.686611+5 2.951209-4 2.620989+5 3.100000-4 2.536964+5 3.273407-4 2.428503+5 3.467369-4 2.301336+5 3.672823-4 2.165963+5 3.935501-4 1.997325+5 4.168694-4 1.854857+5 4.466836-4 1.684339+5 4.731513-4 1.544494+5 5.069907-4 1.383321+5 5.500000-4 1.204544+5 5.900000-4 1.061660+5 6.350000-4 9.241520+4 6.918310-4 7.799020+4 7.585776-4 6.444447+4 8.222426-4 5.413477+4 9.015711-4 4.404530+4 9.885531-4 3.557075+4 1.083927-3 2.852981+4 1.188502-3 2.273173+4 1.318257-3 1.747091+4 1.462177-3 1.332811+4 1.621810-3 1.009256+4 1.798871-3 7.585998+3 2.000000-3 5.622195+3 2.213095-3 4.193681+3 2.454709-3 3.085029+3 2.722701-3 2.253643+3 3.019952-3 1.634964+3 3.349654-3 1.177895+3 3.715352-3 8.430212+2 4.168694-3 5.769853+2 4.677351-3 3.918568+2 5.248075-3 2.641720+2 5.888437-3 1.768428+2 6.683439-3 1.128717+2 7.585776-3 7.146945+1 8.609938-3 4.489675+1 9.772372-3 2.798636+1 1.109175-2 1.730785+1 1.258925-2 1.062651+1 1.445440-2 6.195215+0 1.678804-2 3.427036+0 1.949845-2 1.881720+0 2.290868-2 9.787736-1 2.722701-2 4.820984-1 3.273407-2 2.248342-1 4.168694-2 8.190885-2 7.673615-2 6.324142-3 9.660509-2 2.422093-3 1.161449-1 1.131397-3 1.364583-1 5.854594-4 1.566751-1 3.351418-4 1.778279-1 2.023064-4 2.018366-1 1.229948-4 2.264644-1 7.878029-5 2.540973-1 5.082336-5 2.818383-1 3.448417-5 3.126079-1 2.355620-5 3.467369-1 1.620696-5 3.845918-1 1.123465-5 4.265795-1 7.847717-6 4.677351-1 5.745430-6 5.069907-1 4.400690-6 5.559043-1 3.270060-6 6.165950-1 2.361293-6 6.760830-1 1.779891-6 7.413102-1 1.351844-6 8.609938-1 8.741570-7 9.120108-1 7.445189-7 9.549926-1 6.589861-7 1.000000+0 5.872900-7 1.047129+0 5.274619-7 1.096478+0 4.771771-7 1.148154+0 4.344294-7 1.216186+0 3.892730-7 1.318257+0 3.368775-7 1.479108+0 2.765619-7 1.840772+0 1.892777-7 2.044000+0 1.588200-7 2.317395+0 1.297353-7 2.630268+0 1.065797-7 3.019952+0 8.666389-8 3.507519+0 6.979670-8 4.073803+0 5.663641-8 4.786301+0 4.556427-8 5.688529+0 3.636995-8 6.839116+0 2.882538-8 8.317638+0 2.268076-8 1.035142+1 1.749545-8 1.318257+1 1.323669-8 1.621810+1 1.048691-8 2.137962+1 7.737380-9 2.951209+1 5.469866-9 4.315191+1 3.663876-9 7.079458+1 2.193663-9 1.412538+2 1.084320-9 2.818383+2 5.39576-10 1.122018+3 1.34793-10 1.000000+5 1.50990-12 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 2.549000-5 1.785900-5 1.000000+5 1.785900-5 1 49000 7 7 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.549000-5 7.34130-11 1.000000+5 7.34130-11 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.549000-5 7.630927-6 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 2.458000-5 3.422706+6 2.483133-5 3.394888+6 2.520000-5 3.374682+6 2.550000-5 3.373302+6 2.580000-5 3.386076+6 2.610000-5 3.411942+6 2.640000-5 3.451248+6 2.670000-5 3.503172+6 2.700000-5 3.567714+6 2.740000-5 3.673320+6 2.786121-5 3.822647+6 2.830000-5 3.991638+6 2.884032-5 4.235796+6 2.945000-5 4.559064+6 3.000000-5 4.894020+6 3.080000-5 5.454864+6 3.162278-5 6.122715+6 3.300000-5 7.444980+6 3.548134-5 1.043165+7 3.672823-5 1.217540+7 3.770000-5 1.360980+7 3.850000-5 1.481820+7 3.950000-5 1.633356+7 4.030000-5 1.752498+7 4.120975-5 1.882859+7 4.180000-5 1.963158+7 4.265795-5 2.072020+7 4.350000-5 2.168022+7 4.420000-5 2.238438+7 4.500000-5 2.307498+7 4.570882-5 2.357958+7 4.650000-5 2.402028+7 4.731513-5 2.433890+7 4.820000-5 2.453238+7 4.900000-5 2.457666+7 5.000000-5 2.446926+7 5.110000-5 2.416218+7 5.190000-5 2.382876+7 5.300000-5 2.324004+7 5.400000-5 2.259390+7 5.500000-5 2.186148+7 5.623413-5 2.086437+7 5.754399-5 1.972421+7 5.888437-5 1.850234+7 6.025596-5 1.722441+7 6.165950-5 1.591524+7 6.309573-5 1.459800+7 6.456542-5 1.329352+7 6.606934-5 1.202028+7 6.760830-5 1.079388+7 6.918310-5 9.627373+6 7.079458-5 8.531087+6 7.244360-5 7.512707+6 7.413102-5 6.576880+6 7.585776-5 5.726258+6 7.800000-5 4.807590+6 8.000000-5 4.074732+6 8.230000-5 3.362652+6 8.413951-5 2.880622+6 8.650000-5 2.359266+6 8.912509-5 1.887380+6 9.150000-5 1.541286+6 9.440609-5 1.202504+6 9.772372-5 9.063016+5 1.011579-4 6.780203+5 1.071519-4 4.158841+5 1.096478-4 3.438590+5 1.110000-4 3.118188+5 1.128000-4 2.757234+5 1.143000-4 2.507034+5 1.155000-4 2.336256+5 1.170000-4 2.155626+5 1.185000-4 2.007624+5 1.198000-4 1.902846+5 1.209000-4 1.829508+5 1.222200-4 1.758242+5 1.235000-4 1.704882+5 1.245000-4 1.672932+5 1.258925-4 1.641270+5 1.273503-4 1.622441+5 1.288250-4 1.616505+5 1.304600-4 1.623356+5 1.322000-4 1.644000+5 1.340000-4 1.677630+5 1.358000-4 1.721718+5 1.380384-4 1.788450+5 1.412538-4 1.901989+5 1.531087-4 2.407569+5 1.584893-4 2.645044+5 1.635000-4 2.857704+5 1.678804-4 3.033487+5 1.720000-4 3.188460+5 1.778279-4 3.388599+5 1.820000-4 3.517380+5 1.880000-4 3.681282+5 1.930000-4 3.799254+5 2.000000-4 3.937416+5 2.065380-4 4.039474+5 2.137962-4 4.124613+5 2.220000-4 4.189662+5 2.317395-4 4.231266+5 2.400000-4 4.241178+5 2.511886-4 4.223412+5 2.630268-4 4.175928+5 2.754229-4 4.102362+5 2.900000-4 3.990414+5 3.054921-4 3.852890+5 3.200000-4 3.711786+5 3.388442-4 3.519149+5 3.600000-4 3.302058+5 3.850000-4 3.051264+5 4.100000-4 2.813874+5 4.365158-4 2.577929+5 4.623810-4 2.364654+5 5.000000-4 2.086416+5 5.432503-4 1.810234+5 5.821032-4 1.597326+5 6.237348-4 1.401418+5 6.760830-4 1.194385+5 7.413102-4 9.868861+4 8.035261-4 8.290409+4 8.810489-4 6.741459+4 9.660509-4 5.441410+4 1.059254-3 4.361982+4 1.161449-3 3.473920+4 1.288250-3 2.668650+4 1.428894-3 2.034127+4 1.584893-3 1.539131+4 1.757924-3 1.156175+4 1.949845-3 8.621418+3 2.162719-3 6.382518+3 2.398833-3 4.691278+3 2.660725-3 3.423853+3 2.951209-3 2.481444+3 3.273407-3 1.785814+3 3.630781-3 1.276558+3 4.073803-3 8.724138+2 4.570882-3 5.915474+2 5.128614-3 3.980828+2 5.754399-3 2.659605+2 6.531306-3 1.693351+2 7.328245-3 1.115432+2 8.317638-3 6.993129+1 9.332543-3 4.542863+1 1.035142-2 3.062530+1 1.174898-2 1.875837+1 1.333521-2 1.140535+1 1.566751-2 6.003113+0 1.819701-2 3.284924+0 2.089296-2 1.870113+0 2.454709-2 9.614543-1 2.917427-2 4.676573-1 3.548134-2 2.048755-1 4.570882-2 6.977424-2 7.943282-2 6.589133-3 9.772372-2 2.737222-3 1.161449-1 1.324299-3 1.348963-1 7.109900-4 1.531088-1 4.229295-4 1.717908-1 2.654472-4 1.927525-1 1.678029-4 2.137962-1 1.118093-4 2.371374-1 7.504202-5 2.600160-1 5.300653-5 2.851018-1 3.770641-5 3.126079-1 2.702350-5 3.427678-1 1.951898-5 3.715352-1 1.477995-5 4.073803-1 1.083646-5 4.415705-1 8.313092-6 4.786301-1 6.423674-6 5.128614-1 5.183837-6 5.559043-1 4.068729-6 6.025596-1 3.216981-6 6.531306-1 2.559123-6 7.079458-1 2.049670-6 7.673615-1 1.653029-6 8.511380-1 1.262259-6 9.015711-1 1.092631-6 9.549926-1 9.520340-7 1.000000+0 8.574400-7 1.071519+0 7.392698-7 1.148154+0 6.423198-7 1.216186+0 5.748014-7 1.333521+0 4.852742-7 1.603245+0 3.506843-7 1.840772+0 2.762046-7 2.065380+0 2.279598-7 2.344229+0 1.860224-7 2.660725+0 1.529127-7 3.054921+0 1.244027-7 3.548134+0 1.002521-7 4.120975+0 8.139347-8 4.841724+0 6.551517-8 5.754399+0 5.232190-8 6.918310+0 4.148715-8 8.413951+0 3.265727-8 1.047129+1 2.520125-8 1.348963+1 1.882722-8 1.678804+1 1.473408-8 2.264644+1 1.061211-8 3.198895+1 7.330095-9 4.731513+1 4.859205-9 7.852356+1 2.879545-9 1.566751+2 1.425138-9 3.126079+2 7.09743-10 1.244515+3 1.77383-10 1.000000+5 2.20450-12 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 2.458000-5 1.512100-5 1.000000+5 1.512100-5 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 2.458000-5 9.459000-6 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 1.083000-5 1.703276+6 1.110000-5 1.465982+6 1.150000-5 1.175846+6 1.190000-5 9.439600+5 1.230269-5 7.570786+5 1.270000-5 6.091960+5 1.310000-5 4.891000+5 1.350000-5 3.922720+5 1.388400-5 3.169203+5 1.420000-5 2.654900+5 1.450000-5 2.240680+5 1.485000-5 1.834430+5 1.515000-5 1.542296+5 1.550000-5 1.256614+5 1.584893-5 1.021810+5 1.621810-5 8.188419+4 1.659587-5 6.514837+4 1.710000-5 4.799440+4 1.770000-5 3.364460+4 1.800000-5 2.843380+4 1.822000-5 2.530400+4 1.840772-5 2.304491+4 1.860000-5 2.108740+4 1.877000-5 1.963106+4 1.892000-5 1.854250+4 1.905461-5 1.771111+4 1.920000-5 1.695702+4 1.935000-5 1.632484+4 1.950000-5 1.583012+4 1.965000-5 1.546280+4 1.980000-5 1.521352+4 1.995262-5 1.507204+4 2.010000-5 1.503474+4 2.025000-5 1.508946+4 2.041738-5 1.525221+4 2.055000-5 1.545148+4 2.070000-5 1.574596+4 2.090000-5 1.624308+4 2.113489-5 1.696372+4 2.140000-5 1.793254+4 2.170000-5 1.919886+4 2.317395-5 2.715909+4 2.371374-5 3.048500+4 2.426610-5 3.397845+4 2.483133-5 3.758306+4 2.540973-5 4.125046+4 2.600160-5 4.493813+4 2.660725-5 4.860939+4 2.730000-5 5.265000+4 2.800000-5 5.653680+4 2.870000-5 6.021160+4 2.951209-5 6.419939+4 3.040000-5 6.821860+4 3.126079-5 7.177895+4 3.230000-5 7.564560+4 3.350000-5 7.955880+4 3.467369-5 8.284839+4 3.590900-5 8.578080+4 3.730000-5 8.849400+4 3.900000-5 9.106160+4 4.073803-5 9.294972+4 4.265795-5 9.429755+4 4.466836-5 9.501212+4 4.677351-5 9.513712+4 4.900000-5 9.471620+4 5.188000-5 9.351600+4 5.500000-5 9.159260+4 5.821032-5 8.915332+4 6.165950-5 8.621409+4 6.606934-5 8.220886+4 7.079458-5 7.785090+4 7.673615-5 7.252422+4 8.413951-5 6.634226+4 9.332543-5 5.954881+4 1.059254-4 5.175662+4 1.220000-4 4.387920+4 1.428894-4 3.617165+4 2.089296-4 2.236908+4 2.426610-4 1.841277+4 2.722701-4 1.574694+4 3.126079-4 1.294708+4 3.630781-4 1.040014+4 4.518559-4 7.481683+3 5.495409-4 5.531232+3 6.309573-4 4.440900+3 7.762471-4 3.163363+3 9.225714-4 2.367085+3 1.109175-3 1.724384+3 1.348963-3 1.222362+3 1.678804-3 8.254528+2 2.089296-3 5.531753+2 2.630268-3 3.602069+2 3.630781-3 1.958444+2 4.365158-3 1.373044+2 5.069907-3 1.022724+2 6.025596-3 7.212600+1 7.161434-3 5.048863+1 8.709636-3 3.342412+1 1.035142-2 2.305486+1 1.230269-2 1.578000+1 1.445440-2 1.099797+1 1.698244-2 7.610172+0 2.000000-2 5.198874+0 2.344229-2 3.565081+0 2.754229-2 2.413433+0 3.235937-2 1.621741+0 3.801894-2 1.081783+0 4.518559-2 6.956410-1 5.308844-2 4.574062-1 6.382635-2 2.809929-1 7.762471-2 1.661090-1 9.332543-2 1.004337-1 1.202264-1 4.983988-2 2.398833-1 7.267076-3 2.884032-1 4.378788-3 3.388442-1 2.831471-3 3.890451-1 1.963053-3 4.415705-1 1.413697-3 4.954502-1 1.056429-3 5.559043-1 7.955501-4 6.165950-1 6.206689-4 6.839117-1 4.876903-4 7.585776-1 3.859792-4 8.413951-1 3.076702-4 9.225714-1 2.531304-4 1.011579+0 2.097079-4 1.161449+0 1.593367-4 1.303167+0 1.279846-4 1.479108+0 1.012509-4 1.640590+0 8.421003-5 1.840772+0 6.909802-5 2.089296+0 5.599088-5 2.371374+0 4.571974-5 2.691535+0 3.760741-5 3.090295+0 3.061593-5 3.589219+0 2.468758-5 4.216965+0 1.974145-5 4.954502+0 1.590633-5 5.888437+0 1.271621-5 7.161434+0 9.949355-6 8.709636+0 7.841717-6 1.109175+1 5.898394-6 1.400000+1 4.518700-6 1.800000+1 3.413700-6 2.454709+1 2.434516-6 3.548134+1 1.644248-6 5.432503+1 1.053643-6 8.912509+1 6.331925-7 1.778279+2 3.137992-7 3.548134+2 1.563900-7 1.412538+3 3.910448-8 1.000000+5 5.51770-10 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 1.083000-5 1.083000-5 1.000000+5 1.083000-5 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.083000-5 0.0 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 4.910000-6 7.078926+6 5.248075-6 6.187806+6 5.754399-6 5.106862+6 6.309573-6 4.188765+6 6.918310-6 3.415743+6 7.700000-6 2.674131+6 8.511380-6 2.111487+6 9.440609-6 1.640483+6 1.035142-5 1.301973+6 1.150000-5 9.918557+5 1.258925-5 7.797488+5 1.396368-5 5.872106+5 1.548817-5 4.387767+5 1.717908-5 3.254170+5 1.927525-5 2.316252+5 2.162719-5 1.637090+5 2.511886-5 1.034121+5 4.027170-5 2.371281+4 4.518559-5 1.663971+4 4.954502-5 1.261551+4 5.308844-5 1.030895+4 5.688529-5 8.484158+3 6.025596-5 7.261331+3 6.382635-5 6.261305+3 6.683439-5 5.593839+3 7.000000-5 5.024895+3 7.328245-5 4.545822+3 7.673615-5 4.135526+3 8.035261-5 3.785856+3 8.413951-5 3.485936+3 8.810489-5 3.228605+3 9.332543-5 2.954901+3 9.900000-5 2.718541+3 1.059254-4 2.491035+3 1.135011-4 2.296222+3 1.216186-4 2.129855+3 1.318257-4 1.964771+3 1.445440-4 1.804888+3 1.621810-4 1.637488+3 2.137962-4 1.315920+3 2.483133-4 1.161463+3 2.786121-4 1.047810+3 3.019952-4 9.697771+2 3.349654-4 8.684802+2 3.758374-4 7.626571+2 4.315191-4 6.473897+2 4.897788-4 5.529995+2 5.495409-4 4.761598+2 6.095369-4 4.132700+2 6.760830-4 3.557759+2 7.585776-4 2.990641+2 8.810489-4 2.367011+2 1.000000-3 1.927008+2 1.122018-3 1.586270+2 1.258925-3 1.296769+2 1.428894-3 1.031158+2 1.640590-3 7.966019+1 1.862087-3 6.241193+1 2.113489-3 4.854321+1 2.818383-3 2.699423+1 3.019952-3 2.335380+1 3.349654-3 1.859545+1 3.758374-3 1.432246+1 4.244000-3 1.078421+1 4.786301-3 8.092287+0 5.432503-3 5.934702+0 6.165950-3 4.319282+0 6.998420-3 3.120386+0 7.943282-3 2.237778+0 9.015711-3 1.593311+0 1.023293-2 1.126358+0 1.161449-2 7.905738-1 1.318257-2 5.510927-1 1.513561-2 3.689487-1 1.737801-2 2.451152-1 2.000000-2 1.605072-1 2.317395-2 1.021884-1 2.786121-2 5.763640-2 3.273407-2 3.466104-2 3.890451-2 1.994839-2 4.731513-2 1.058192-2 5.821032-2 5.365421-3 8.035261-2 1.847378-3 1.288250-1 3.864064-4 1.584893-1 1.956842-4 1.883649-1 1.117482-4 2.213095-1 6.671603-5 2.540973-1 4.317401-5 2.884032-1 2.916668-5 3.273407-1 1.984855-5 3.672823-1 1.408789-5 4.120975-1 1.007406-5 4.570882-1 7.501284-6 5.069907-1 5.624262-6 5.623413-1 4.247819-6 6.237348-1 3.232809-6 6.839117-1 2.553126-6 7.498942-1 2.029454-6 8.609938-1 1.451772-6 9.225714-1 1.236114-6 9.772372-1 1.087507-6 1.047129+0 9.399077-7 1.135011+0 7.979171-7 1.216186+0 6.976595-7 1.348963+0 5.755288-7 1.548817+0 4.497020-7 1.757924+0 3.605928-7 1.995262+0 2.912505-7 2.264644+0 2.371428-7 2.570396+0 1.945628-7 2.951209+0 1.580085-7 3.427678+0 1.271092-7 4.000000+0 1.023600-7 4.677351+0 8.279804-8 5.559043+0 6.602271-8 6.683439+0 5.227705-8 8.222427+0 4.053035-8 1.011579+1 3.167718-8 1.273503+1 2.426376-8 1.603245+1 1.871976-8 2.113489+1 1.380756-8 2.917427+1 9.758651-9 4.265795+1 6.535155-9 6.918310+1 3.958638-9 1.333521+2 2.025822-9 2.660725+2 1.007715-9 1.059254+3 2.51664-10 1.000000+5 2.66100-12 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 4.910000-6 4.910000-6 1.000000+5 4.910000-6 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 4.910000-6 0.0 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 4.580000-6 1.404274+7 5.128614-6 1.093849+7 5.754399-6 8.425269+6 6.531306-6 6.265887+6 7.244360-6 4.883922+6 8.128305-6 3.675807+6 9.015711-6 2.826104+6 1.000000-5 2.158041+6 1.109175-5 1.635713+6 1.230269-5 1.230946+6 1.364583-5 9.194481+5 1.513561-5 6.817957+5 1.698244-5 4.854001+5 1.927525-5 3.312660+5 2.238721-5 2.091832+5 3.126079-5 7.428933+4 3.507519-5 5.228347+4 3.845918-5 3.969998+4 4.168694-5 3.139811+4 4.500000-5 2.531581+4 4.800000-5 2.125948+4 5.069907-5 1.844253+4 5.370318-5 1.599028+4 5.650000-5 1.419494+4 5.956621-5 1.262777+4 6.237348-5 1.147594+4 6.531306-5 1.048952+4 6.839116-5 9.643974+3 7.161434-5 8.919203+3 7.585776-5 8.149177+3 8.035261-5 7.502351+3 8.555000-5 6.905630+3 9.225714-5 6.302852+3 1.000000-4 5.759816+3 1.100000-4 5.215083+3 1.250000-4 4.602869+3 1.462177-4 3.985000+3 2.065380-4 2.940854+3 2.371374-4 2.586439+3 2.660725-4 2.308610+3 2.951209-4 2.070093+3 3.198895-4 1.887180+3 3.589219-4 1.640847+3 4.120975-4 1.375642+3 4.677351-4 1.163001+3 5.370318-4 9.608509+2 6.000000-4 8.184204+2 6.683439-4 6.939086+2 7.585776-4 5.671797+2 8.810489-4 4.433599+2 1.000000-3 3.572662+2 1.122018-3 2.914370+2 1.273503-3 2.311459+2 1.445440-3 1.819309+2 1.659587-3 1.390190+2 1.883649-3 1.078506+2 2.137962-3 8.308688+1 2.426610-3 6.355233+1 2.754229-3 4.823484+1 3.126079-3 3.632263+1 3.548134-3 2.713621+1 4.027170-3 2.011175+1 4.518559-3 1.520797+1 5.128614-3 1.109638+1 5.821032-3 8.033621+0 6.606934-3 5.772705+0 7.498942-3 4.117303+0 8.511380-3 2.915047+0 9.660509-3 2.048870+0 1.096478-2 1.429571+0 1.244515-2 9.903683-1 1.412538-2 6.813857-1 1.621810-2 4.496796-1 1.862087-2 2.945013-1 2.137962-2 1.914642-1 2.483133-2 1.191740-1 2.884032-2 7.363042-2 3.349654-2 4.516077-2 3.981072-2 2.548706-2 4.786301-2 1.373377-2 5.821032-2 7.060536-3 7.498942-2 2.958575-3 1.348963-1 3.892340-4 1.659587-1 1.915738-4 1.949845-1 1.111682-4 2.238721-1 7.021076-5 2.540973-1 4.640363-5 2.851018-1 3.207058-5 3.162278-1 2.315054-5 3.507519-1 1.682760-5 3.890451-1 1.232438-5 4.265795-1 9.409177-6 4.677351-1 7.233382-6 5.128614-1 5.601557-6 5.623413-1 4.371309-6 6.165950-1 3.437654-6 6.760830-1 2.724784-6 7.413102-1 2.176901-6 8.128305-1 1.752731-6 8.810489-1 1.458640-6 9.549926-1 1.222777-6 1.035142+0 1.033230-6 1.135011+0 8.585534-7 1.230269+0 7.346577-7 1.364583+0 6.055113-7 1.548817+0 4.819738-7 1.757924+0 3.864266-7 2.000000+0 3.109900-7 2.264644+0 2.542277-7 2.570396+0 2.085785-7 2.951209+0 1.693818-7 3.427678+0 1.362519-7 4.000000+0 1.097200-7 4.677351+0 8.875624-8 5.559043+0 7.077541-8 6.683439+0 5.603939-8 8.222427+0 4.344759-8 1.011579+1 3.395813-8 1.288250+1 2.566989-8 1.621810+1 1.981138-8 2.137962+1 1.461761-8 2.951209+1 1.033381-8 4.315191+1 6.921740-9 6.998420+1 4.193627-9 1.364583+2 2.121536-9 2.722701+2 1.055459-9 1.083927+3 2.63621-10 1.000000+5 2.85260-12 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 4.580000-6 4.580000-6 1.000000+5 4.580000-6 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 4.580000-6 0.0 1.000000+5 1.000000+5 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.492340-7 1.028100+0 1.103630-6 1.028750+0 1.492340-6 1.029500+0 2.042310-6 1.030100+0 2.568450-6 1.031000+0 3.514510-6 1.032000+0 4.808740-6 1.033200+0 6.736220-6 1.034000+0 8.269340-6 1.035300+0 1.122450-5 1.036640+0 1.492340-5 1.038200+0 2.013960-5 1.039700+0 2.616540-5 1.041500+0 3.481270-5 1.043800+0 4.832120-5 1.046400+0 6.722980-5 1.048300+0 8.370300-5 1.051200+0 1.135410-4 1.054080+0 1.492340-4 1.057700+0 2.034160-4 1.061100+0 2.645940-4 1.065100+0 3.502950-4 1.070400+0 4.887010-4 1.076200+0 6.753870-4 1.080600+0 8.434480-4 1.087100+0 1.136400-3 1.093710+0 1.492340-3 1.102600+0 2.069010-3 1.110700+0 2.698240-3 1.120600+0 3.609140-3 1.133300+0 5.017780-3 1.147500+0 6.927590-3 1.158200+0 8.609190-3 1.174100+0 1.150750-2 1.190110+0 1.492340-2 1.205100+0 1.858290-2 1.227500+0 2.487880-2 1.250000+0 3.213000-2 1.265600+0 3.763520-2 1.294900+0 4.890420-2 1.331800+0 6.454700-2 1.362600+0 7.860020-2 1.397000+0 9.517010-2 1.455800+0 1.253330-1 1.500000+0 1.496000-1 1.589800+0 2.037710-1 1.665000+0 2.539820-1 1.784700+0 3.416700-1 1.892300+0 4.263630-1 2.000000+0 5.137000-1 2.044000+0 5.494000-1 2.163500+0 6.468850-1 2.372600+0 8.182500-1 2.647100+0 1.040640+0 3.000000+0 1.318000+0 3.437500+0 1.644500+0 4.000000+0 2.036000+0 4.750000+0 2.510340+0 5.000000+0 2.657000+0 6.000000+0 3.193000+0 7.000000+0 3.671000+0 8.000000+0 4.101000+0 9.000000+0 4.492000+0 1.000000+1 4.849000+0 1.100000+1 5.179000+0 1.200000+1 5.483000+0 1.300000+1 5.765000+0 1.400000+1 6.024000+0 1.500000+1 6.264000+0 1.600000+1 6.488000+0 1.800000+1 6.897000+0 2.000000+1 7.263000+0 2.200000+1 7.595000+0 2.400000+1 7.896000+0 2.600000+1 8.171000+0 2.800000+1 8.423000+0 3.000000+1 8.656000+0 4.000000+1 9.599000+0 5.000000+1 1.030000+1 6.000000+1 1.084000+1 8.000000+1 1.165000+1 1.000000+2 1.222000+1 1.500000+2 1.313000+1 2.000000+2 1.367000+1 3.000000+2 1.430000+1 4.000000+2 1.466000+1 5.000000+2 1.490000+1 6.000000+2 1.507000+1 8.000000+2 1.530000+1 1.000000+3 1.545000+1 1.500000+3 1.566000+1 2.000000+3 1.578000+1 3.000000+3 1.590000+1 4.000000+3 1.597000+1 5.000000+3 1.601000+1 6.000000+3 1.604000+1 8.000000+3 1.608000+1 1.000000+4 1.611000+1 1.500000+4 1.614000+1 2.000000+4 1.616000+1 3.000000+4 1.618000+1 4.000000+4 1.619000+1 5.000000+4 1.619000+1 6.000000+4 1.620000+1 8.000000+4 1.620000+1 1.000000+5 1.621000+1 1 49000 7 8 1.148200+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 4.915380-7 2.099900+0 1.151250-6 2.106600+0 1.601480-6 2.114000+0 2.215860-6 2.119500+0 2.758730-6 2.127900+0 3.741350-6 2.136250+0 4.915380-6 2.147000+0 6.739330-6 2.156900+0 8.753580-6 2.169000+0 1.168220-5 2.184500+0 1.623870-5 2.201800+0 2.246660-5 2.214800+0 2.799170-5 2.234200+0 3.765380-5 2.253680+0 4.915380-5 2.281500+0 6.884860-5 2.307000+0 9.043240-5 2.338200+0 1.215940-4 2.377400+0 1.683930-4 2.410200+0 2.141680-4 2.446800+0 2.724340-4 2.485900+0 3.430090-4 2.532900+0 4.389780-4 2.556430+0 4.915380-4 2.611900+0 6.267660-4 2.660400+0 7.577260-4 2.745300+0 1.014170-3 2.809000+0 1.228220-3 2.904500+0 1.582260-3 3.000000+0 1.975000-3 3.125000+0 2.546680-3 3.234400+0 3.098720-3 3.425800+0 4.172770-3 3.569300+0 5.059810-3 3.784700+0 6.504240-3 4.000000+0 8.057000-3 4.250000+0 9.955340-3 4.625000+0 1.293870-2 5.000000+0 1.604000-2 5.500000+0 2.029660-2 6.000000+0 2.461000-2 6.750000+0 3.102830-2 7.000000+0 3.314000-2 8.000000+0 4.140000-2 9.000000+0 4.930000-2 1.000000+1 5.681000-2 1.100000+1 6.391000-2 1.200000+1 7.060000-2 1.300000+1 7.691000-2 1.400000+1 8.291000-2 1.500000+1 8.858000-2 1.600000+1 9.398000-2 1.800000+1 1.040000-1 2.000000+1 1.131000-1 2.200000+1 1.214000-1 2.400000+1 1.290000-1 2.600000+1 1.360000-1 2.800000+1 1.426000-1 3.000000+1 1.487000-1 4.000000+1 1.738000-1 5.000000+1 1.929000-1 6.000000+1 2.081000-1 8.000000+1 2.309000-1 1.000000+2 2.474000-1 1.500000+2 2.749000-1 2.000000+2 2.920000-1 3.000000+2 3.130000-1 4.000000+2 3.256000-1 5.000000+2 3.342000-1 6.000000+2 3.405000-1 8.000000+2 3.492000-1 1.000000+3 3.550000-1 1.500000+3 3.637000-1 2.000000+3 3.686000-1 3.000000+3 3.739000-1 4.000000+3 3.770000-1 5.000000+3 3.789000-1 6.000000+3 3.803000-1 8.000000+3 3.821000-1 1.000000+4 3.832000-1 1.500000+4 3.848000-1 2.000000+4 3.857000-1 3.000000+4 3.865000-1 4.000000+4 3.871000-1 5.000000+4 3.874000-1 6.000000+4 3.876000-1 8.000000+4 3.878000-1 1.000000+5 3.880000-1 1 49000 7 8 1.148200+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 49000 7 9 1.148200+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 4.900000+1 1.000000+5 4.900000+1 5.000000+5 4.898000+1 6.718700+5 4.896590+1 7.890600+5 4.895830+1 9.296900+5 4.895050+1 1.000000+6 4.894700+1 1.250000+6 4.892380+1 1.500000+6 4.889900+1 2.000000+6 4.882100+1 2.500000+6 4.872200+1 3.000000+6 4.860300+1 3.500000+6 4.846220+1 4.000000+6 4.830800+1 4.500000+6 4.813850+1 5.000000+6 4.795200+1 5.687500+6 4.766280+1 6.437500+6 4.732210+1 6.500000+6 4.729380+1 7.000000+6 4.705400+1 7.500000+6 4.680360+1 8.250000+6 4.641070+1 8.500000+6 4.627940+1 9.000000+6 4.601000+1 1.000000+7 4.545300+1 1.109400+7 4.482580+1 1.187500+7 4.436770+1 1.203100+7 4.427390+1 1.250000+7 4.400000+1 1.375000+7 4.325280+1 1.500000+7 4.251000+1 1.687500+7 4.140120+1 1.750000+7 4.103700+1 2.000000+7 3.957900+1 2.250000+7 3.813640+1 2.375000+7 3.742180+1 2.500000+7 3.671900+1 2.750000+7 3.533170+1 3.000000+7 3.398900+1 3.250000+7 3.268630+1 3.500000+7 3.143710+1 3.625000+7 3.083680+1 4.000000+7 2.912600+1 4.500000+7 2.706390+1 5.000000+7 2.526000+1 6.000000+7 2.236000+1 6.750000+7 2.069980+1 7.000000+7 2.022000+1 7.750000+7 1.894580+1 8.000000+7 1.856500+1 8.750000+7 1.749910+1 9.000000+7 1.716500+1 9.750000+7 1.619540+1 1.000000+8 1.588200+1 1.085900+8 1.482790+1 1.125000+8 1.435910+1 1.144500+8 1.412830+1 1.214800+8 1.330730+1 1.250000+8 1.290500+1 1.312500+8 1.220350+1 1.406300+8 1.120660+1 1.500000+8 1.029200+1 1.718800+8 8.511120+0 1.750000+8 8.297940+0 1.906300+8 7.369560+0 2.000000+8 6.914400+0 2.125000+8 6.408650+0 2.218800+8 6.094180+0 2.359400+8 5.708600+0 2.375000+8 5.671830+0 2.464800+8 5.477660+0 2.500000+8 5.410200+0 2.875000+8 4.840670+0 3.000000+8 4.654100+0 3.125000+8 4.453740+0 3.500000+8 3.897900+0 3.812500+8 3.550590+0 3.937500+8 3.414120+0 4.000000+8 3.342900+0 4.125000+8 3.192750+0 4.234400+8 3.057690+0 4.425800+8 2.823930+0 4.750000+8 2.464450+0 5.000000+8 2.233000+0 5.250000+8 2.043440+0 5.625000+8 1.816200+0 6.000000+8 1.635200+0 6.343800+8 1.498730+0 6.578100+8 1.422250+0 6.789100+8 1.365370+0 7.000000+8 1.319600+0 7.250000+8 1.278520+0 8.000000+8 1.187000+0 8.359400+8 1.139560+0 8.660200+8 1.097480+0 8.851600+8 1.070400+0 1.000000+9 9.218000-1 1.218800+9 7.276140-1 1.289100+9 6.773050-1 1.361600+9 6.281260-1 1.375000+9 6.192840-1 1.411000+9 5.958160-1 1.470300+9 5.580600-1 1.500000+9 5.395400-1 1.562500+9 5.014730-1 1.641100+9 4.560710-1 1.706900+9 4.205940-1 1.780200+9 3.840070-1 1.858700+9 3.483500-1 1.952900+9 3.101590-1 2.000000+9 2.928700-1 2.139200+9 2.479770-1 2.272600+9 2.124180-1 2.443000+9 1.754690-1 2.602800+9 1.476530-1 2.825100+9 1.173270-1 3.088500+9 9.065410-2 3.327400+9 7.265680-2 3.634100+9 5.557850-2 3.975600+9 4.204340-2 4.423800+9 2.996330-2 5.000000+9 2.017100-2 5.750000+9 1.274200-2 6.875000+9 7.027330-3 8.000000+9 4.227700-3 1.00000+10 2.002000-3 1.20500+10 1.078580-3 1.41820+10 6.316500-4 1.71110+10 3.429550-4 2.01380+10 2.028540-4 2.41190+10 1.139650-4 2.88610+10 6.451480-5 3.54590+10 3.377690-5 4.35270+10 1.782850-5 5.38800+10 9.215150-6 7.03510+10 4.064790-6 9.01170+10 1.912290-6 1.00000+11 1.394800-6 1.34280+11 5.730010-7 1.77440+11 2.483570-7 2.63330+11 7.662460-8 4.88110+11 1.240540-8 1.16740+12 9.77302-10 3.55150+12 3.98564-11 1.00000+14 3.07730-15 5.62340+14 2.25121-17 7.49890+15 1.33629-20 1.00000+17 7.66970-24 1 49000 7 0 1.148200+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 6.20000-12 1.000000+2 6.20000-10 1.000000+3 6.200000-8 1.000000+4 6.200000-6 1.000000+5 6.200000-4 5.000000+5 1.550000-2 6.718700+5 2.798738-2 7.890600+5 3.860217-2 9.296900+5 5.358806-2 1.000000+6 6.200000-2 1.250000+6 9.624980-2 1.500000+6 1.375000-1 2.000000+6 2.417000-1 2.500000+6 3.722000-1 3.000000+6 5.269000-1 3.500000+6 7.031420-1 4.000000+6 8.982000-1 4.500000+6 1.109430+0 5.000000+6 1.334000+0 5.687500+6 1.659540+0 6.437500+6 2.030640+0 6.500000+6 2.062140+0 7.000000+6 2.316000+0 7.500000+6 2.572280+0 8.250000+6 2.958840+0 8.500000+6 3.087430+0 9.000000+6 3.344400+0 1.000000+7 3.852000+0 1.109400+7 4.394580+0 1.187500+7 4.773080+0 1.203100+7 4.847300+0 1.250000+7 5.070000+0 1.375000+7 5.648190+0 1.500000+7 6.207000+0 1.687500+7 7.013530+0 1.750000+7 7.275700+0 2.000000+7 8.297000+0 2.250000+7 9.284100+0 2.375000+7 9.767380+0 2.500000+7 1.024400+1 2.750000+7 1.117680+1 3.000000+7 1.208300+1 3.250000+7 1.295950+1 3.500000+7 1.381120+1 3.625000+7 1.422690+1 4.000000+7 1.544400+1 4.500000+7 1.699790+1 5.000000+7 1.848900+1 6.000000+7 2.128800+1 6.750000+7 2.318820+1 7.000000+7 2.377900+1 7.750000+7 2.540700+1 8.000000+7 2.590600+1 8.750000+7 2.727260+1 9.000000+7 2.769100+1 9.750000+7 2.884410+1 1.000000+8 2.920300+1 1.085900+8 3.034060+1 1.125000+8 3.082060+1 1.144500+8 3.105040+1 1.214800+8 3.184820+1 1.250000+8 3.222900+1 1.312500+8 3.287370+1 1.406300+8 3.378720+1 1.500000+8 3.463400+1 1.718800+8 3.638470+1 1.750000+8 3.661390+1 1.906300+8 3.767430+1 2.000000+8 3.825500+1 2.125000+8 3.896790+1 2.218800+8 3.946340+1 2.359400+8 4.014650+1 2.375000+8 4.021840+1 2.464800+8 4.062220+1 2.500000+8 4.077400+1 2.875000+8 4.219410+1 3.000000+8 4.260500+1 3.125000+8 4.298540+1 3.500000+8 4.397700+1 3.812500+8 4.465360+1 3.937500+8 4.488810+1 4.000000+8 4.500300+1 4.125000+8 4.521460+1 4.234400+8 4.538320+1 4.425800+8 4.566040+1 4.750000+8 4.606160+1 5.000000+8 4.632100+1 5.250000+8 4.654450+1 5.625000+8 4.682440+1 6.000000+8 4.705900+1 6.343800+8 4.723690+1 6.578100+8 4.734870+1 6.789100+8 4.743870+1 7.000000+8 4.752600+1 7.250000+8 4.761590+1 8.000000+8 4.786300+1 8.359400+8 4.796020+1 8.660200+8 4.803850+1 8.851600+8 4.808700+1 1.000000+9 4.832800+1 1.218800+9 4.863030+1 1.289100+9 4.869280+1 1.361600+9 4.875350+1 1.375000+9 4.876170+1 1.411000+9 4.878350+1 1.470300+9 4.881810+1 1.500000+9 4.883500+1 1.562500+9 4.885770+1 1.641100+9 4.888510+1 1.706900+9 4.890700+1 1.780200+9 4.892200+1 1.858700+9 4.893570+1 1.952900+9 4.895140+1 2.000000+9 4.895900+1 2.139200+9 4.897130+1 2.272600+9 4.898230+1 2.443000+9 4.899240+1 2.602800+9 4.899710+1 2.825100+9 4.900310+1 3.088500+9 4.900790+1 3.327400+9 4.900670+1 3.634100+9 4.900530+1 3.975600+9 4.900380+1 4.423800+9 4.900200+1 5.000000+9 4.900000+1 5.750000+9 4.900000+1 6.875000+9 4.900000+1 8.000000+9 4.900000+1 1.00000+10 4.900000+1 1.20500+10 4.900000+1 1.41820+10 4.900000+1 1.71110+10 4.900000+1 2.01380+10 4.900000+1 2.41190+10 4.900000+1 2.88610+10 4.900000+1 3.54590+10 4.900000+1 4.35270+10 4.900000+1 5.38800+10 4.900000+1 7.03510+10 4.900000+1 9.01170+10 4.900000+1 1.00000+11 4.900000+1 1.34280+11 4.900000+1 1.77440+11 4.900000+1 2.63330+11 4.900000+1 4.88110+11 4.900000+1 1.16740+12 4.900000+1 3.55150+12 4.900000+1 1.00000+14 4.900000+1 5.62340+14 4.900000+1 7.49890+15 4.900000+1 1.00000+17 4.900000+1 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.923339-6 0.0 1.930441-6 3.957833-1 1.932808-6 5.260376-1 1.937542-6 9.608506-1 1.942276-6 1.620126+0 1.947601-6 2.659112+0 1.955895-6 4.659839+0 1.961508-6 5.931601+0 1.966381-6 6.676391+0 1.971342-6 6.902347+0 1.976048-6 6.582947+0 1.981120-6 5.722337+0 1.989034-6 3.839272+0 1.994350-6 2.583027+0 1.999084-6 1.667512+0 2.003818-6 9.937181-1 2.008552-6 5.466525-1 2.015358-6 1.563085-1 2.018021-6 0.0 2.252790-6 0.0 2.261108-6 1.742313-1 2.263880-6 2.315717-1 2.269425-6 4.229846-1 2.274970-6 7.132101-1 2.281208-6 1.170592+0 2.290825-6 2.042183+0 2.297843-6 2.632243+0 2.303204-6 2.939073+0 2.308828-6 3.042347+0 2.314578-6 2.895001+0 2.320468-6 2.519081+0 2.329823-6 1.682103+0 2.335965-6 1.137097+0 2.341856-6 7.155732-1 2.347055-6 4.374535-1 2.352600-6 2.406467-1 2.360571-6 6.880995-2 2.363690-6 0.0 2.725271-6 0.0 2.731979-6 1.752491-7 2.738687-6 3.467697-7 2.745395-6 6.334033-7 2.752103-6 1.068005-6 2.758810-6 1.662341-6 2.775300-6 3.493140-6 2.778934-6 3.961680-6 2.785642-6 4.618407-6 2.792350-6 5.009214-6 2.799058-6 5.154214-6 2.825890-6 4.782570-6 2.836779-6 4.729175-6 2.843610-6 4.541896-6 2.850441-6 4.168760-6 2.857272-6 3.548782-6 2.859429-6 3.292577-6 2.877765-6 1.517409-6 2.884596-6 9.795861-7 2.891427-6 5.837632-7 2.898258-6 3.211329-7 2.905089-6 1.630749-7 2.911920-6 0.0 2.983798-6 0.0 2.985418-6 1.754413-2 3.000114-6 1.596449+0 3.007462-6 2.907203+0 3.014811-6 4.888126+0 3.022796-6 7.876979+0 3.043114-6 1.706721+1 3.052226-6 1.991198+1 3.059429-6 2.060119+1 3.067438-6 1.950200+1 3.074792-6 1.709142+1 3.095641-6 7.634869+0 3.102989-6 4.923032+0 3.110338-6 2.930578+0 3.117686-6 1.610502+0 3.129179-6 3.417990-1 3.130682-6 1.724325-1 3.132382-6 7.145213-7 3.135318-6 8.471672-7 3.142960-6 1.318609-6 3.165886-6 3.076661-6 3.173528-6 3.477300-6 3.181170-6 3.627926-6 3.188812-6 3.494046-6 3.197579-6 3.024509-6 3.219380-6 1.350670-6 3.227022-6 8.719456-7 3.234664-6 5.196172-7 3.242306-6 2.858457-7 3.251606-6 1.137147-7 3.265612-6 4.819024-2 3.267613-6 5.500432-2 3.275616-6 1.004699-1 3.283620-6 1.694060-1 3.291623-6 2.636791-1 3.313239-6 5.814489-1 3.321394-6 1.016757+0 3.329549-6 1.398063+0 3.337704-6 1.948143+0 3.345859-6 2.734301+0 3.354779-6 3.918952+0 3.379323-6 7.887082+0 3.388736-6 8.785753+0 3.396793-6 8.939213+0 3.404507-6 8.479097+0 3.414244-6 7.148951+0 3.435566-6 3.341380+0 3.443721-6 2.157079+0 3.451876-6 1.285465+0 3.460031-6 7.071447-1 3.473117-6 1.421871-1 3.476341-6 1.31976-13 3.478051-6 0.0 3.581057-6 0.0 3.597033-6 2.574666-2 3.598685-6 2.838431-2 3.607500-6 5.184626-2 3.616314-6 8.741991-2 3.625128-6 1.360684-1 3.633252-6 1.920127-1 3.633711-6 1.962879-1 3.651599-6 7.737449-1 3.660543-6 1.191083+0 3.669486-6 1.774904+0 3.679776-6 2.674172+0 3.705821-6 5.296562+0 3.715654-6 5.885593+0 3.723796-6 6.029680+0 3.732915-6 5.727863+0 3.742593-6 4.956295+0 3.767870-6 2.227222+0 3.776814-6 1.454644+0 3.785757-6 8.964860-1 3.794701-6 5.405972-1 3.812108-6 1.558121-1 3.812589-6 1.464210-1 3.827174-6 2.090710-1 3.836412-6 2.362959-1 3.845650-6 2.465316-1 3.854888-6 2.374339-1 3.864126-6 2.110897-1 3.879138-6 1.470153-1 3.892689-6 8.880345-2 3.901079-6 5.925207-2 3.910317-6 3.530999-2 3.919556-6 1.942432-2 3.933580-6 4.759322-3 3.934097-6 4.738073-3 3.938032-6 4.082553-2 3.953464-6 1.973689-1 3.962235-6 3.444568-1 3.963152-6 3.704231-1 3.972907-6 7.266268-1 3.982662-6 1.178924+0 3.993346-6 1.848221+0 4.023887-6 4.137283+0 4.034447-6 4.688666+0 4.041190-6 4.912128+0 4.052738-6 4.877945+0 4.062484-6 4.538122+0 4.074206-6 3.820834+0 4.099439-6 1.951285+0 4.109474-6 1.384132+0 4.118618-6 9.941326-1 4.128028-6 7.139974-1 4.138127-6 6.636354-1 4.150475-6 7.641881-1 4.158432-6 8.657568-1 4.176061-6 1.275366+0 4.189018-6 1.478858+0 4.199788-6 1.534272+0 4.210910-6 1.477400+0 4.225786-6 1.262737+0 4.240885-6 1.016108+0 4.250828-6 9.043324-1 4.259995-6 8.520624-1 4.266898-6 8.804175-1 4.283623-6 1.026813+0 4.303534-6 1.278400+0 4.350566-6 2.086641+0 4.362438-6 2.195028+0 4.373207-6 2.204948+0 4.385452-6 2.102459+0 4.403347-6 1.809940+0 4.426804-6 1.393005+0 4.441796-6 1.231204+0 4.455478-6 1.167673+0 4.473314-6 1.155108+0 4.515699-6 1.487987+0 4.530583-6 1.565572+0 4.543232-6 1.563271+0 4.561750-6 1.493351+0 4.590040-6 1.357324+0 4.614849-6 1.366467+0 4.654899-6 1.428505+0 4.894045-6 1.345503+0 5.783057-6 1.107675+0 5.811526-6 4.275786+0 5.825760-6 6.896591+0 5.839994-6 1.087200+1 5.856008-6 1.713846+1 5.896931-6 3.658961+1 5.912472-6 4.136893+1 5.926909-6 4.278116+1 5.941767-6 4.072698+1 5.955983-6 3.596543+1 5.980182-6 2.443435+1 5.996571-6 1.664686+1 6.011695-6 1.086497+1 6.025485-6 6.965166+0 6.039719-6 4.297586+0 6.067743-6 1.042884+0 6.112499-6 1.032742+0 6.142589-6 7.591023+0 6.157634-6 1.301445+1 6.173619-6 2.194074+1 6.189605-6 3.420260+1 6.216426-6 5.962143+1 6.233800-6 7.503495+1 6.249920-6 8.447799+1 6.265067-6 8.714084+1 6.279376-6 8.354363+1 6.295744-6 7.275095+1 6.321279-6 4.890446+1 6.338176-6 3.322282+1 6.353221-6 2.179393+1 6.368266-6 1.338177+1 6.383311-6 7.799241+0 6.405879-6 2.706766+0 6.413401-6 9.710318-1 7.623206-6 7.684561-1 8.837770-6 6.198004-1 8.887798-6 6.966591-1 8.903029-6 8.188946-1 8.931551-6 1.091463+0 8.956161-6 1.467492+0 8.979234-6 1.957447+0 9.011490-6 2.825437+0 9.040931-6 3.669790+0 9.065542-6 4.217504+0 9.084684-6 4.479669+0 9.109295-6 4.470985+0 9.131171-6 4.182147+0 9.155781-6 3.592973+0 9.205003-6 2.177352+0 9.215941-6 1.881672+0 9.237817-6 1.407692+0 9.259693-6 1.059059+0 9.281569-6 8.288329-1 9.325322-6 5.713549-1 9.669176-6 5.454899-1 9.716774-6 6.194151-1 9.740574-6 6.837627-1 9.764373-6 7.802908-1 9.795373-6 9.575421-1 9.855964-6 1.346073+0 9.877167-6 1.439373+0 9.888180-6 1.477188+0 9.907170-6 1.496401+0 9.930969-6 1.447644+0 9.959441-6 1.303672+0 1.001009-5 9.609713-1 1.003070-5 8.445738-1 1.004997-5 7.550027-1 1.007449-5 6.823897-1 1.009911-5 6.541921-1 1.013003-5 6.638400-1 1.014516-5 6.798995-1 1.021097-5 8.480760-1 1.023610-5 8.912243-1 1.025933-5 9.097610-1 1.030257-5 8.875582-1 1.037141-5 8.125146-1 1.041095-5 7.933939-1 1.067723-5 7.457781-1 1.127351-5 6.360328-1 1.207476-5 5.229113-1 1.291962-5 4.327219-1 1.400393-5 3.472732-1 1.511506-5 2.838635-1 1.634698-5 2.327576-1 1.785312-5 1.888639-1 1.948764-5 1.563533-1 1.958357-5 1.857238+0 1.963154-5 3.263699+0 1.967950-5 5.396637+0 1.973315-5 8.748945+0 1.987137-5 1.919275+1 1.992374-5 2.175705+1 1.997282-5 2.250804+1 2.002303-5 2.138621+1 2.007615-5 1.851559+1 2.019611-5 1.060310+1 2.022939-5 8.999202+0 2.025871-5 7.994357+0 2.028874-5 7.494284+0 2.030852-5 7.412383+0 2.033369-5 7.592876+0 2.035834-5 8.067692+0 2.045213-5 1.089093+1 2.048172-5 1.226135+1 2.053570-5 1.399847+1 2.058214-5 1.467627+1 2.063892-5 1.419370+1 2.068411-5 1.303853+1 2.082780-5 7.480326+0 2.087724-5 5.840889+0 2.092668-5 4.531604+0 2.097612-5 3.506955+0 2.103792-5 2.459157+0 2.107500-5 1.759976+0 2.116935-5 1.020877+0 2.121960-5 7.057735-1 2.126985-5 4.737246-1 2.132010-5 3.195737-1 2.142060-5 1.306659-1 2.226293-5 1.225847-1 2.237252-5 3.794161-1 2.242732-5 5.920381-1 2.248212-5 9.146692-1 2.254100-5 1.396217+0 2.269431-5 2.934910+0 2.276653-5 3.402104+0 2.282121-5 3.492760+0 2.287588-5 3.323668+0 2.293310-5 2.905639+0 2.307075-5 1.546346+0 2.308775-5 1.393338+0 2.314242-5 9.966086-1 2.319709-5 8.066414-1 2.323522-5 7.748127-1 2.325483-5 7.734663-1 2.331179-5 9.117998-1 2.335887-5 1.108570+0 2.339201-5 1.376444+0 2.356429-5 3.005673+0 2.363487-5 3.481589+0 2.367261-5 3.641991+0 2.373253-5 3.673686+0 2.379378-5 3.483771+0 2.390133-5 2.833394+0 2.398923-5 2.247460+0 2.406770-5 1.877086+0 2.413085-5 1.699420+0 2.418511-5 1.613803+0 2.429390-5 1.648351+0 2.446131-5 1.964924+0 2.453874-5 2.062381+0 2.466364-5 2.123705+0 2.495696-5 2.079076+0 2.655000-5 2.233852+0 2.792904-5 2.540963+0 2.903224-5 2.928329+0 3.015000-5 3.463613+0 3.162278-5 4.414022+0 3.300000-5 5.573120+0 3.476519-5 7.478826+0 3.677704-5 1.023683+1 3.989988-5 1.547257+1 4.460000-5 2.368290+1 4.754507-5 2.740540+1 5.013750-5 2.921089+1 5.322050-5 2.959441+1 5.705002-5 2.793550+1 6.237348-5 2.337899+1 7.098163-5 1.489062+1 7.520557-5 1.139911+1 7.932258-5 8.645247+0 8.010499-5 8.447699+0 8.114038-5 8.731854+0 8.153559-5 8.572058+0 8.268923-5 7.696401+0 8.614618-5 6.303272+0 8.709636-5 6.087396+0 8.832853-5 6.007077+0 8.985805-5 5.443563+0 9.517409-5 4.116793+0 9.968952-5 3.255469+0 1.033744-4 2.720934+0 1.077863-4 2.246031+0 1.126795-4 1.885929+0 1.174900-4 1.663023+0 1.201243-4 1.584227+0 1.207156-4 1.625032+0 1.213070-4 1.738133+0 1.219356-4 1.992060+0 1.225400-4 2.299546+0 1.228337-4 2.414088+0 1.231269-4 2.472508+0 1.234387-4 2.461740+0 1.237536-4 2.375977+0 1.246528-4 1.969768+0 1.252033-4 1.809497+0 1.259178-4 1.772502+0 1.276273-4 1.837050+0 1.306632-4 1.808025+0 1.400480-4 1.924427+0 1.555798-4 2.292100+0 1.883649-4 3.188699+0 2.187000-4 3.842621+0 2.555642-4 4.349796+0 2.968247-4 4.640937+0 3.651741-4 4.727725+0 4.402426-4 4.582623+0 4.450507-4 4.811564+0 4.537603-4 5.289419+0 4.610400-4 5.721324+0 4.639498-4 6.183528+0 4.663909-4 6.866396+0 4.689873-4 7.944644+0 4.715749-4 9.419044+0 4.755000-4 1.238090+1 4.830498-4 1.965861+1 4.900500-4 2.618645+1 4.958000-4 3.011979+1 5.020000-4 3.254430+1 5.114375-4 3.353010+1 5.985155-4 2.854402+1 6.520532-4 2.653881+1 6.720693-4 2.840315+1 7.000000-4 2.836800+1 7.191126-4 2.849203+1 7.967979-4 2.620364+1 8.119486-4 2.670715+1 9.779131-4 2.184672+1 1.173208-3 1.758080+1 1.386357-3 1.419326+1 1.598637-3 1.172443+1 1.837861-3 9.662776+0 2.107088-3 7.949479+0 2.427802-3 6.463459+0 2.785338-3 5.262746+0 3.180706-3 4.298928+0 3.630781-3 3.507131+0 3.659193-3 3.559604+0 3.674555-3 3.760202+0 3.686535-3 4.109520+0 3.698354-3 4.685657+0 3.710396-3 5.525702+0 3.745075-3 8.547151+0 3.765227-3 9.786410+0 3.786333-3 1.036293+1 3.839222-3 1.042086+1 3.893844-3 1.045807+1 3.924220-3 1.114404+1 3.975335-3 1.289597+1 4.010637-3 1.325160+1 4.159166-3 1.281761+1 4.245405-3 1.384748+1 4.416544-3 1.327577+1 5.128614-3 1.054384+1 5.846218-3 8.565736+0 6.732582-3 6.831670+0 7.725694-3 5.454621+0 8.828793-3 4.362213+0 9.969998-3 3.549316+0 1.126999-2 2.876091+0 1.269843-2 2.337364+0 1.420958-2 1.919577+0 1.599788-2 1.556216+0 1.795666-2 1.266782+0 2.007143-2 1.037378+0 2.224156-2 8.613917-1 2.520033-2 6.864801-1 2.721213-2 5.996802-1 2.735609-2 6.161738-1 2.744928-2 6.577813-1 2.752024-2 7.242147-1 2.758731-2 8.285085-1 2.764459-2 9.582332-1 2.770984-2 1.156088+0 2.780250-2 1.526021+0 2.804744-2 2.674432+0 2.818260-2 3.118889+0 2.834162-2 3.366592+0 2.858028-2 3.423288+0 3.330428-2 2.681046+0 3.814654-2 2.144568+0 4.375378-2 1.698866+0 4.887608-2 1.401214+0 5.524426-2 1.130029+0 6.222730-2 9.133711-1 7.078559-2 7.231616-1 7.914919-2 5.893796-1 8.924727-2 4.718536-1 9.955337-2 3.847491-1 1.118302-1 3.094303-1 1.225205-1 2.604310-1 1.364935-1 2.124332-1 1.502447-1 1.771972-1 1.664738-1 1.460390-1 1.858742-1 1.186123-1 2.084965-1 9.566208-2 2.306166-1 7.937406-2 2.561165-1 6.546742-2 2.831596-1 5.458475-2 3.163985-1 4.486869-2 3.499956-1 3.768212-2 3.904474-1 3.132571-2 4.372821-1 2.604404-2 4.902195-1 2.178101-2 5.468290-1 1.850105-2 6.077402-1 1.591688-2 6.898426-1 1.342034-2 7.807284-1 1.148474-2 8.759917-1 1.003386-2 1.011580+0 8.604698-3 1.228714+0 6.978426-3 1.477239+0 5.715111-3 1.776032+0 4.680496-3 2.135261+0 3.833179-3 2.567148+0 3.139253-3 3.086391+0 2.570949-3 3.710658+0 2.105527-3 4.461192+0 1.724360-3 5.363532+0 1.412197-3 6.448384+0 1.156545-3 7.752663+0 9.471736-4 9.320751+0 7.757053-4 9.760024+0 7.379273-4 1.000000+1 1.500484-3 1 49000 7 0 1.148200+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-4.886344+1 1.862470-6-4.771275+1 1.923635-6-4.610849+1 1.951744-6-4.435672+1 1.965634-6-4.682399+1 1.972732-6-4.904714+1 1.987286-6-4.573831+1 2.003818-6-4.611806+1 2.042303-6-4.841065+1 2.122466-6-4.885431+1 2.263880-6-4.728409+1 2.294811-6-4.716986+1 2.315414-6-4.882809+1 2.341510-6-4.796929+1 2.398656-6-4.894010+1 2.868597-6-4.628873+1 2.959100-6-4.378447+1 2.985418-6-4.120361+1 3.017337-6-3.611459+1 3.029258-6-3.593652+1 3.039734-6-3.807935+1 3.051781-6-4.375230+1 3.059429-6-4.846807+1 3.070060-6-4.378634+1 3.079654-6-3.982239+1 3.091834-6-3.791937+1 3.107123-6-3.927702+1 3.145337-6-4.518793+1 3.214024-6-4.838678+1 3.254685-6-4.894887+1 3.360171-6-4.476124+1 3.379323-6-4.658319+1 3.394002-6-4.901114+1 3.417173-6-4.454298+1 3.435566-6-4.373493+1 3.508454-6-4.783037+1 3.592075-6-4.901884+1 3.687280-6-4.629669+1 3.716591-6-4.877158+1 3.723796-6-4.900253+1 3.753901-6-4.603291+1 3.794701-6-4.704828+1 3.875674-6-4.914974+1 3.934589-6-4.852427+1 4.007297-6-4.669760+1 4.054168-6-4.905257+1 4.090984-6-4.721725+1 4.184375-6-4.960475+1 4.359722-6-4.957186+1 4.679127-6-4.987811+1 5.013324-6-4.807323+1 5.488001-6-4.322322+1 5.652673-6-3.930261+1 5.733795-6-3.521333+1 5.772204-6-3.144289+1 5.811526-6-2.435137+1 5.841774-6-1.850537+1 5.856008-6-1.695740+1 5.868463-6-1.708366+1 5.878694-6-1.842895+1 5.890926-6-2.184351+1 5.898711-6-2.518297+1 5.910582-6-3.110006+1 5.940354-6-4.880846+1 5.958824-6-4.002892+1 5.974674-6-3.588640+1 5.988565-6-3.498241+1 6.005468-6-3.663416+1 6.038064-6-4.434689+1 6.056721-6-4.876803+1 6.108094-6-3.337789+1 6.118577-6-2.869722+1 6.141649-6-2.068042+1 6.160337-6-1.311797+1 6.175383-6-8.021327+0 6.178468-6-7.277469+0 6.189605-6-5.296613+0 6.192896-6-5.110872+0 6.195364-6-5.145193+0 6.199067-6-5.410859+0 6.204650-6-6.148376+0 6.207941-6-6.943802+0 6.212261-6-8.391573+0 6.216426-6-1.024918+1 6.224397-6-1.497759+1 6.230480-6-1.945768+1 6.244930-6-3.357827+1 6.257640-6-4.884212+1 6.263301-6-4.147203+1 6.274018-6-2.849739+1 6.281084-6-1.959018+1 6.293981-6-6.587059+0 6.295744-6-4.981575+0 6.298829-6-2.514604+0 6.301143-6-8.520524-1 6.304614-6 1.422329+0 6.308085-6 3.558519+0 6.309966-6 4.642334+0 6.313257-6 6.211929+0 6.315726-6 7.200938+0 6.319428-6 8.407835+0 6.323131-6 9.237723+0 6.329713-6 1.012530+1 6.333944-6 1.031798+1 6.336060-6 1.024873+1 6.345698-6 8.891393+0 6.351340-6 7.741808+0 6.355101-6 6.398070+0 6.361684-6 4.525126+0 6.364975-6 3.514002+0 6.366620-6 2.936529+0 6.368266-6 2.215097+0 6.383311-6-3.236281+0 6.385192-6-4.015909+0 6.388483-6-5.128363+0 6.405879-6-1.025679+1 6.412461-6-1.261560+1 6.414986-6-1.387917+1 6.421311-6-1.597933+1 6.437029-6-1.958022+1 6.461864-6-2.342651+1 6.498443-6-2.720206+1 6.557566-6-3.106397+1 6.658574-6-3.486630+1 6.821912-6-3.810650+1 7.181525-6-4.127889+1 8.114955-6-4.406440+1 8.875837-6-4.607362+1 9.024026-6-4.698921+1 9.184643-6-4.264086+1 9.545784-6-4.477540+1 9.888180-6-4.525173+1 1.008575-5-4.496877+1 1.757431-5-4.903713+1 1.860842-5-5.013275+1 1.925256-5-4.749544+1 1.946804-5-4.457121+1 1.969599-5-3.800710+1 1.976130-5-3.739285+1 1.983166-5-3.919551+1 1.990247-5-4.376246+1 1.997830-5-5.096688+1 2.006514-5-4.400503+1 2.013576-5-4.148188+1 2.020438-5-4.181722+1 2.038278-5-4.805412+1 2.048172-5-4.825704+1 2.058214-5-4.427954+1 2.070151-5-3.895864+1 2.080995-5-3.727706+1 2.106573-5-3.963904+1 2.146658-5-4.407879+1 2.263507-5-4.940756+1 2.301252-5-4.666173+1 2.350304-5-4.967385+1 2.395606-5-4.720039+1 2.462424-5-4.864235+1 3.745467-5-5.665725+1 4.163949-5-5.596805+1 4.610441-5-5.084213+1 5.650000-5-3.273879+1 6.058222-5-2.755839+1 6.456543-5-2.421005+1 6.839888-5-2.244902+1 7.372800-5-2.182684+1 8.035261-5-2.289992+1 8.403860-5-2.435729+1 8.938647-5-2.501390+1 1.293666-4-3.107056+1 1.761768-4-3.314001+1 3.294586-4-3.494523+1 3.912911-4-3.764489+1 4.301790-4-4.160004+1 4.496624-4-4.579174+1 4.639498-4-5.168927+1 4.778343-4-5.873619+1 4.851968-4-5.882970+1 4.945000-4-5.443777+1 5.114375-4-4.373551+1 5.242880-4-3.865602+1 5.439058-4-3.412124+1 5.765034-4-2.957218+1 6.108137-4-2.677023+1 6.421729-4-2.549993+1 6.644201-4-2.599804+1 6.826559-4-2.372094+1 7.041500-4-2.250294+1 7.271300-4-2.023174+1 7.691076-4-1.770970+1 7.967979-4-1.676672+1 8.119486-4-1.653336+1 8.355894-4-1.491510+1 8.833290-4-1.294179+1 9.508784-4-1.100671+1 1.036800-3-9.242056+0 1.143207-3-7.798599+0 1.262554-3-6.747106+0 1.386357-3-6.065699+0 1.549600-3-5.552491+0 1.749600-3-5.289534+0 2.007856-3-5.288658+0 2.316336-3-5.585285+0 2.668394-3-6.216758+0 3.003325-3-7.157609+0 3.257569-3-8.277265+0 3.426137-3-9.446825+0 3.541393-3-1.072234+1 3.613839-3-1.205081+1 3.659193-3-1.355798+1 3.716285-3-1.653233+1 3.739045-3-1.661623+1 3.802662-3-1.380434+1 3.839222-3-1.295559+1 3.882819-3-1.281723+1 3.934093-3-1.318786+1 3.965225-3-1.261349+1 4.025042-3-1.067364+1 4.079576-3-9.660910+0 4.141483-3-9.117918+0 4.205843-3-9.006680+0 4.245405-3-8.410804+0 4.306046-3-7.205278+0 4.378134-3-6.262133+0 4.501542-3-5.133711+0 4.641496-3-4.212428+0 4.827439-3-3.293247+0 5.010126-3-2.622382+0 5.249128-3-1.961124+0 5.367300-3-1.701077+0 5.555169-3-1.361470+0 5.709878-3-1.127016+0 5.919732-3-8.720736-1 6.095369-3-6.949084-1 6.237348-3-5.738918-1 6.456725-3-4.168991-1 6.635521-3-3.151068-1 6.805979-3-2.327267-1 6.968741-3-1.672708-1 7.148745-3-1.044403-1 7.317707-3-5.481589-2 7.338799-3-4.933621-2 7.473776-3-1.806781-2 7.504340-3-1.154428-2 7.559532-3-1.953091-3 7.606491-3 6.386017-3 7.676376-3 1.858857-2 7.783795-3 3.552707-2 7.852356-3 4.476447-2 8.041562-3 6.685701-2 8.210854-3 7.955414-2 8.428861-3 8.936204-2 8.603938-3 9.313328-2 8.984908-3 9.424179-2 9.247315-3 8.693542-2 9.619541-3 7.031262-2 9.842943-3 5.730151-2 1.024274-2 2.900300-2 1.036800-2 1.855694-2 1.042653-2 1.338523-2 1.051978-2 5.574074-3 1.059553-2-1.392276-3 1.096478-2-3.498496-2 1.138673-2-7.596535-2 1.181255-2-1.170021-1 1.926767-2-9.109865-1 2.158865-2-1.192034+0 2.348270-2-1.485413+0 2.483133-2-1.777068+0 2.578836-2-2.078899+0 2.648760-2-2.412863+0 2.700515-2-2.811738+0 2.731486-2-3.229159+0 2.754525-2-3.769001+0 2.780250-2-4.443407+0 2.793649-2-4.530307+0 2.808451-2-4.299723+0 2.845677-2-3.216299+0 2.867788-2-2.783882+0 2.892759-2-2.458547+0 2.934708-2-2.082173+0 2.990008-2-1.732842+0 3.057851-2-1.422674+0 3.150824-2-1.117283+0 3.226708-2-9.329249-1 3.330428-2-7.383693-1 3.437054-2-5.826931-1 3.580694-2-4.200449-1 3.684212-2-3.264009-1 3.729750-2-2.908497-1 3.814654-2-2.335220-1 3.911482-2-1.779819-1 4.017956-2-1.264386-1 4.116258-2-8.674677-2 4.247418-2-4.082951-2 4.336201-2-1.614322-2 4.418883-2 3.460494-3 4.447292-2 1.024831-2 4.546830-2 2.931623-2 4.677841-2 5.068761-2 4.887608-2 7.483054-2 5.030355-2 8.752339-2 5.250690-2 1.004823-1 5.381923-2 1.062730-1 5.656924-2 1.120042-1 5.950269-2 1.125443-1 6.532119-2 1.026065-1 7.078559-2 8.728466-2 9.128063-2 1.488206-2 9.593769-2-5.927341-4 9.812985-2-7.751697-3 1.017483-1-1.902724-2 1.118302-1-4.744476-2 1.225205-1-7.375518-2 1.364935-1-1.029108-1 1.561265-1-1.353902-1 1.795132-1-1.645738-1 2.159741-1-1.967836-1 2.732936-1-2.280376-1 3.628883-1-2.539778-1 5.256073-1-2.742798-1 9.185969-1-2.881428-1 2.814822+0-2.941619-1 8.500626+0-2.948618-1 1.000000+1-2.947595-1 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 5.185907-3 1.154397-6 9.588545-3 1.266039-6 1.440290-2 1.350000-6 1.925126-2 1.388478-6 2.187940-2 1.476613-6 2.911863-2 1.566081-6 3.853840-2 1.650044-6 4.971897-2 1.728841-6 6.286740-2 1.815381-6 8.093613-2 1.906339-6 1.051865-1 1.970369-6 1.262343-1 2.030396-6 1.497212-1 2.086672-6 1.754801-1 2.139431-6 2.038085-1 2.196088-6 2.397649-1 2.235262-6 2.684535-1 2.278734-6 3.052122-1 2.319489-6 3.450372-1 2.357697-6 3.879542-1 2.393516-6 4.341988-1 2.427097-6 4.839453-1 2.458579-6 5.372764-1 2.488094-6 5.942674-1 2.515764-6 6.551669-1 2.541704-6 7.202239-1 2.566024-6 7.896541-1 2.588823-6 8.636564-1 2.611809-6 9.486724-1 2.630236-6 1.025871+0 2.649022-6 1.114628+0 2.666633-6 1.208896+0 2.683145-6 1.308933+0 2.698624-6 1.415016+0 2.713136-6 1.527459+0 2.726740-6 1.646630+0 2.739495-6 1.772927+0 2.751452-6 1.906705+0 2.762662-6 2.048241+0 2.777597-6 2.266346+0 2.792261-6 2.521924+0 2.806484-6 2.821809+0 2.816649-6 3.077535+0 2.823784-6 3.283276+0 2.830474-6 3.500165+0 2.836745-6 3.728793+0 2.848503-6 4.242279+0 2.858792-6 4.817468+0 2.867794-6 5.464984+0 2.875671-6 6.195130+0 2.882564-6 7.013744+0 2.888595-6 7.918854+0 2.894871-6 9.109073+0 2.898490-6 9.938452+0 2.902530-6 1.101274+1 2.906065-6 1.209919+1 2.909158-6 1.317583+1 2.914233-6 1.522789+1 2.921486-6 1.886061+1 2.933587-6 2.701816+1 2.938026-6 3.069821+1 2.941633-6 3.394794+1 2.945239-6 3.740935+1 2.952453-6 4.484367+1 2.953355-6 4.580844+1 2.959667-6 5.266007+1 2.962147-6 5.535186+1 2.966881-6 6.037669+1 2.969361-6 6.290248+1 2.971728-6 6.521483+1 2.974996-6 6.820779+1 2.977758-6 7.051673+1 2.981309-6 7.313316+1 2.984465-6 7.507750+1 2.988142-6 7.683455+1 2.992355-6 7.811210+1 2.995962-6 7.854293+1 2.997217-6 7.854542+1 3.000800-6 7.813078+1 3.004159-6 7.718051+1 3.006087-6 7.639573+1 3.009519-6 7.458604+1 3.013072-6 7.219187+1 3.016974-6 6.901642+1 3.019575-6 6.662271+1 3.023181-6 6.299939+1 3.026282-6 5.965289+1 3.028699-6 5.693391+1 3.031805-6 5.333721+1 3.034961-6 4.961584+1 3.038258-6 4.571052+1 3.042626-6 4.059845+1 3.046233-6 3.650076+1 3.050291-6 3.209348+1 3.053447-6 2.884996+1 3.061111-6 2.176890+1 3.063436-6 1.986260+1 3.065655-6 1.815127+1 3.067874-6 1.654583+1 3.071030-6 1.444304+1 3.075088-6 1.204261+1 3.078295-6 1.037612+1 3.082530-6 8.466944+0 3.086715-6 6.879298+0 3.090856-6 5.570783+0 3.096307-6 4.195652+0 3.104324-6 2.759340+0 3.106955-6 2.411639+0 3.109565-6 2.116678+0 3.112155-6 1.867865+0 3.407305-6 4.322030+0 3.441063-6 6.677404+0 3.449532-6 7.723586+0 3.458002-6 8.945268+0 3.467531-6 1.045992+1 3.474942-6 1.166229+1 3.477853-6 1.212187+1 3.484470-6 1.310174+1 3.489102-6 1.370722+1 3.491881-6 1.402826+1 3.495879-6 1.442398+1 3.499160-6 1.468301+1 3.502468-6 1.487788+1 3.506438-6 1.501692+1 3.509879-6 1.504910+1 3.513585-6 1.498890+1 3.517290-6 1.482924+1 3.518812-6 1.473502+1 3.522286-6 1.445875+1 3.526025-6 1.406976+1 3.528708-6 1.373529+1 3.533065-6 1.310262+1 3.536884-6 1.246731+1 3.543092-6 1.130586+1 3.546850-6 1.054610+1 3.548740-6 1.015313+1 3.551699-6 9.528260+0 3.554320-6 8.969527+0 3.556647-6 8.472922+0 3.559639-6 7.838566+0 3.563344-6 7.067362+0 3.566769-6 6.376753+0 3.568109-6 6.113832+0 3.572344-6 5.315117+0 3.576181-6 4.639434+0 3.578100-6 4.320532+0 3.581574-6 3.777301+0 3.585048-6 3.279535+0 3.588470-6 2.834533+0 3.592256-6 2.394373+0 3.596098-6 2.002458+0 3.600331-6 1.631758+0 3.604783-6 1.306348+0 3.614658-6 7.902487-1 3.617730-6 6.789071-1 3.620731-6 5.891128-1 3.622700-6 5.394318-1 3.624638-6 4.970906-1 3.626547-6 4.613072-1 3.628425-6 4.313733-1 3.630274-6 4.066494-1 3.633915-6 3.703618-1 3.637441-6 3.489419-1 3.640858-6 3.391670-1 3.644168-6 3.384734-1 3.647374-6 3.448307-1 3.653586-6 3.732047-1 3.659410-6 4.148523-1 3.664870-6 4.638583-1 3.669988-6 5.165690-1 3.680111-6 6.351412-1 3.687984-6 7.371383-1 3.702680-6 9.441604-1 3.713702-6 1.111013+0 3.737531-6 1.502951+0 3.746768-6 1.667028+0 3.755990-6 1.838379+0 3.765212-6 2.017938+0 3.774435-6 2.206456+0 3.783657-6 2.404757+0 3.797207-6 2.715785+0 3.820546-6 3.315702+0 3.857434-6 4.481207+0 3.890670-6 5.858131+0 3.912429-6 7.002333+0 3.931212-6 8.203947+0 3.946748-6 9.394757+0 3.956094-6 1.021907+1 3.965441-6 1.114167+1 3.974787-6 1.218071+1 3.984133-6 1.335925+1 3.992627-6 1.457629+1 4.000590-6 1.587046+1 4.011744-6 1.799668+1 4.021614-6 2.027549+1 4.033916-6 2.384602+1 4.044681-6 2.792134+1 4.054099-6 3.253437+1 4.062341-6 3.767237+1 4.069552-6 4.327229+1 4.075862-6 4.922968+1 4.081383-6 5.541529+1 4.086214-6 6.169275+1 4.090441-6 6.793326+1 4.097376-6 7.987881+1 4.121051-6 1.403852+2 4.129095-6 1.689689+2 4.132216-6 1.812006+2 4.137289-6 2.024012+2 4.142362-6 2.251431+2 4.152508-6 2.745498+2 4.153777-6 2.810196+2 4.162654-6 3.273858+2 4.166142-6 3.458219+2 4.173686-6 3.851813+2 4.177013-6 4.019812+2 4.180031-6 4.167526+2 4.184983-6 4.397146+2 4.188774-6 4.559629+2 4.191870-6 4.682090+2 4.195934-6 4.826862+2 4.201158-6 4.982925+2 4.206937-6 5.111356+2 4.211344-6 5.175360+2 4.215467-6 5.207225+2 4.220506-6 5.208448+2 4.225515-6 5.168391+2 4.228329-6 5.128123+2 4.233300-6 5.026822+2 4.237311-6 4.918420+2 4.242601-6 4.742074+2 4.247491-6 4.549019+2 4.252281-6 4.336023+2 4.256535-6 4.130614+2 4.259269-6 3.992011+2 4.262004-6 3.849281+2 4.265068-6 3.685492+2 4.269089-6 3.466218+2 4.274260-6 3.180900+2 4.279333-6 2.901750+2 4.284406-6 2.627686+2 4.290113-6 2.330019+2 4.294552-6 2.108963+2 4.304698-6 1.646610+2 4.307429-6 1.533522+2 4.319897-6 1.082689+2 4.325449-6 9.163799+1 4.329987-6 7.954801+1 4.334046-6 6.982965+1 4.339264-6 5.876050+1 4.341915-6 5.371529+1 4.345891-6 4.682746+1 4.349866-6 4.070143+1 4.352723-6 3.673615+1 4.357008-6 3.141718+1 4.364041-6 2.414662+1 4.368165-6 2.062352+1 4.372288-6 1.757518+1 4.377527-6 1.430355+1 4.385544-6 1.039186+1 4.396180-6 6.791458+0 4.400206-6 5.794444+0 4.405573-6 4.711194+0 4.407921-6 4.313907+0 4.411444-6 3.793947+0 4.414966-6 3.354861+0 4.417411-6 3.092046+0 4.419629-6 2.880243+0 4.421570-6 2.713892+0 4.424755-6 2.475558+0 4.426055-6 2.389491+0 4.428330-6 2.253062+0 4.431317-6 2.098773+0 4.434197-6 1.973374+0 4.436659-6 1.882006+0 4.439122-6 1.803277+0 4.441134-6 1.747272+0 4.444624-6 1.665254+0 4.447841-6 1.603768+0 4.450357-6 1.563313+0 4.454721-6 1.505390+0 4.460109-6 1.448731+0 4.476176-6 1.313040+0 4.481579-6 1.265067+0 4.488510-6 1.197741+0 4.494901-6 1.130862+0 4.510577-6 9.704763-1 4.513328-6 9.473832-1 4.517259-6 9.196786-1 4.520892-6 9.011423-1 4.522649-6 8.951192-1 4.528270-6 8.915699-1 4.530124-6 8.965010-1 4.532123-6 9.057267-1 4.533410-6 9.139710-1 4.534835-6 9.253533-1 4.540203-6 9.918247-1 4.542441-6 1.031892+0 4.544119-6 1.067267+0 4.545419-6 1.098001+0 4.549968-6 1.230550+0 4.552243-6 1.312763+0 4.554518-6 1.406684+0 4.555860-6 1.467923+0 4.565253-6 2.035318+0 4.567937-6 2.248300+0 4.575988-6 3.050938+0 4.591453-6 5.461876+0 4.595765-6 6.387818+0 4.600079-6 7.445802+0 4.603855-6 8.488324+0 4.610048-6 1.045566+1 4.615107-6 1.231871+1 4.618900-6 1.387804+1 4.623880-6 1.614676+1 4.629681-6 1.912204+1 4.635457-6 2.244994+1 4.639595-6 2.506091+1 4.643733-6 2.785940+1 4.648404-6 3.123749+1 4.653075-6 3.483569+1 4.664472-6 4.440894+1 4.665897-6 4.566984+1 4.675869-6 5.473263+1 4.679787-6 5.834122+1 4.687266-6 6.514331+1 4.691898-6 6.920984+1 4.694109-6 7.108855+1 4.697426-6 7.381151+1 4.700742-6 7.639960+1 4.703593-6 7.849871+1 4.706219-6 8.031743+1 4.710541-6 8.303988+1 4.712144-6 8.395706+1 4.717133-6 8.645846+1 4.722344-6 8.845647+1 4.728200-6 8.989140+1 4.733209-6 9.040579+1 4.735193-6 9.042463+1 4.740854-6 8.990429+1 4.745776-6 8.877736+1 4.750665-6 8.707175+1 4.755935-6 8.463592+1 4.761406-6 8.153590+1 4.763222-6 8.039615+1 4.770200-6 7.561037+1 4.775678-6 7.153346+1 4.780556-6 6.778824+1 4.789360-6 6.108218+1 4.801170-6 5.302093+1 4.808251-6 4.912183+1 4.813169-6 4.694637+1 4.816374-6 4.578652+1 4.821158-6 4.445117+1 4.825049-6 4.372066+1 4.828199-6 4.336251+1 4.837361-6 4.346053+1 4.841530-6 4.402395+1 4.845327-6 4.478522+1 4.849582-6 4.588464+1 4.859850-6 4.934453+1 4.873410-6 5.468086+1 4.881497-6 5.766363+1 4.887715-6 5.960701+1 4.893606-6 6.104845+1 4.897686-6 6.177576+1 4.909272-6 6.246300+1 4.913657-6 6.216133+1 4.920668-6 6.103897+1 4.925911-6 5.970798+1 4.929550-6 5.855449+1 4.932851-6 5.735755+1 4.938268-6 5.511413+1 4.940479-6 5.410860+1 4.944350-6 5.224038+1 4.949429-6 4.961049+1 4.954328-6 4.692621+1 4.957431-6 4.517068+1 4.962578-6 4.219913+1 4.967725-6 3.919336+1 4.969195-6 3.833444+1 4.976916-6 3.387327+1 4.980984-6 3.158184+1 4.991450-6 2.599356+1 4.998195-6 2.268779+1 5.003441-6 2.030057+1 5.010529-6 1.734531+1 5.017053-6 1.490443+1 5.023534-6 1.274203+1 5.027422-6 1.156670+1 5.046193-6 7.083539+0 5.058191-6 5.134078+0 5.063394-6 4.481842+0 5.070227-6 3.787296+0 5.075385-6 3.377861+0 5.078823-6 3.157209+0 5.080543-6 3.062122+0 5.082262-6 2.977013+0 5.085107-6 2.857782+0 5.087375-6 2.781645+0 5.089106-6 2.734725+0 5.091702-6 2.682189+0 5.094298-6 2.650778+0 5.096192-6 2.641012+0 5.104480-6 2.725843+0 5.106656-6 2.781755+0 5.109453-6 2.873677+0 5.112414-6 2.995162+0 5.114534-6 3.097078+0 5.119991-6 3.415207+0 5.123982-6 3.696849+0 5.128747-6 4.083977+0 5.141161-6 5.320684+0 5.147688-6 6.075689+0 5.153197-6 6.749939+0 5.158509-6 7.418348+0 5.163226-6 8.015431+0 5.167016-6 8.490362+0 5.171284-6 9.012484+0 5.174554-6 9.398822+0 5.179228-6 9.922623+0 5.183547-6 1.036937+1 5.185628-6 1.056961+1 5.191691-6 1.108871+1 5.195835-6 1.138238+1 5.199780-6 1.161128+1 5.205752-6 1.185824+1 5.210440-6 1.196523+1 5.215638-6 1.199425+1 5.220106-6 1.194596+1 5.224812-6 1.182599+1 5.227271-6 1.173708+1 5.235837-6 1.130561+1 5.241732-6 1.092146+1 5.249478-6 1.035202+1 5.265162-6 9.201813+0 5.269493-6 8.937785+0 5.274976-6 8.666246+0 5.276804-6 8.594450+0 5.281334-6 8.463284+0 5.285547-6 8.407970+0 5.290035-6 8.427867+0 5.292077-6 8.465850+0 5.297441-6 8.657512+0 5.299430-6 8.763738+0 5.308789-6 9.531803+0 5.310047-6 9.669445+0 5.315431-6 1.035130+1 5.318463-6 1.080099+1 5.328810-6 1.267570+1 5.342268-6 1.579732+1 5.350071-6 1.786413+1 5.356572-6 1.966738+1 5.362030-6 2.120113+1 5.366879-6 2.255332+1 5.373108-6 2.424060+1 5.379409-6 2.584792+1 5.385267-6 2.721373+1 5.391604-6 2.851325+1 5.397381-6 2.950774+1 5.402230-6 3.018555+1 5.407082-6 3.071010+1 5.420200-6 3.131701+1 5.424221-6 3.126377+1 5.435970-6 3.049842+1 5.440036-6 3.003831+1 5.445497-6 2.928092+1 5.451629-6 2.826260+1 5.454556-6 2.772239+1 5.461142-6 2.640130+1 5.463337-6 2.593369+1 5.469554-6 2.455362+1 5.474216-6 2.347943+1 5.480336-6 2.204280+1 5.488204-6 2.019152+1 5.498801-6 1.777269+1 5.507043-6 1.600733+1 5.515088-6 1.441770+1 5.540100-6 1.049738+1 5.551191-6 9.280938+0 5.555620-6 8.882248+0 5.561097-6 8.455293+0 5.571644-6 7.829607+0 5.578503-6 7.553601+0 5.585125-6 7.378700+0 5.588349-6 7.324551+0 5.592561-6 7.283149+0 5.599699-6 7.285454+0 5.607505-6 7.385837+0 5.616464-6 7.616243+0 5.623720-6 7.883846+0 5.626909-6 8.022115+0 5.636643-6 8.511986+0 5.666205-6 1.038757+1 5.675528-6 1.100060+1 5.682655-6 1.144280+1 5.690500-6 1.188582+1 5.697994-6 1.225161+1 5.706278-6 1.257600+1 5.710382-6 1.270170+1 5.717205-6 1.285534+1 5.723795-6 1.293572+1 5.730327-6 1.294877+1 5.738439-6 1.287515+1 5.745512-6 1.273533+1 5.752251-6 1.254397+1 5.761938-6 1.218751+1 5.771475-6 1.176992+1 5.793116-6 1.074839+1 5.806625-6 1.018141+1 5.816068-6 9.860590+0 5.822116-6 9.695142+0 5.832345-6 9.491307+0 5.836454-6 9.436332+0 5.845663-6 9.366087+0 5.852485-6 9.357035+0 5.858996-6 9.377531+0 5.867271-6 9.436629+0 5.886884-6 9.663380+0 5.910336-6 9.945028+0 5.923403-6 1.005512+1 5.941646-6 1.013403+1 5.957535-6 1.014272+1 6.012851-6 1.004034+1 6.046552-6 1.003315+1 6.138778-6 1.014769+1 6.187145-6 1.024719+1 6.253717-6 1.044609+1 6.273492-6 1.048426+1 6.291243-6 1.048308+1 6.308027-6 1.043401+1 6.325490-6 1.031880+1 6.340139-6 1.016598+1 6.353237-6 9.987217+0 6.376380-6 9.595073+0 6.417078-6 8.846792+0 6.436907-6 8.553149+0 6.452751-6 8.384303+0 6.462266-6 8.315684+0 6.472839-6 8.270125+0 6.493326-6 8.276686+0 6.516148-6 8.433318+0 6.537052-6 8.716430+0 6.541715-6 8.798158+0 6.567099-6 9.366577+0 6.590897-6 1.010209+1 6.613207-6 1.099156+1 6.634345-6 1.203899+1 6.653731-6 1.320282+1 6.672114-6 1.451672+1 6.690193-6 1.604442+1 6.705505-6 1.755408+1 6.720652-6 1.927875+1 6.734852-6 2.114378+1 6.752209-6 2.382173+1 6.760646-6 2.531381+1 6.773110-6 2.779560+1 6.789056-6 3.156418+1 6.803241-6 3.564209+1 6.812279-6 3.869707+1 6.829226-6 4.567926+1 6.844055-6 5.356077+1 6.858142-6 6.312201+1 6.868384-6 7.169883+1 6.878868-6 8.222192+1 6.887011-6 9.182394+1 6.894616-6 1.020846+2 6.907095-6 1.220037+2 6.943625-6 2.075810+2 6.954437-6 2.419241+2 6.965267-6 2.806662+2 6.973509-6 3.129701+2 6.982060-6 3.488781+2 6.999161-6 4.267999+2 7.001299-6 4.369856+2 7.016262-6 5.097748+2 7.022141-6 5.385843+2 7.033364-6 5.926907+2 7.039242-6 6.200584+2 7.044854-6 6.452239+2 7.052603-6 6.779763+2 7.059149-6 7.034115+2 7.067566-6 7.324748+2 7.075048-6 7.543248+2 7.083766-6 7.744239+2 7.093753-6 7.896387+2 7.101769-6 7.954045+2 7.105280-6 7.960633+2 7.113774-6 7.929035+2 7.121735-6 7.838749+2 7.126306-6 7.760999+2 7.134442-6 7.577769+2 7.142525-6 7.342397+2 7.154642-6 6.901335+2 7.161255-6 6.622572+2 7.166829-6 6.370365+2 7.174182-6 6.017926+2 7.179910-6 5.731126+2 7.187275-6 5.351416+2 7.194757-6 4.958455+2 7.202573-6 4.546323+2 7.212927-6 4.007893+2 7.220409-6 3.630623+2 7.230563-6 3.142464+2 7.238579-6 2.781349+2 7.256749-6 2.058345+2 7.262260-6 1.867775+2 7.272781-6 1.542920+2 7.292174-6 1.078826+2 7.298565-6 9.634412+1 7.303512-6 8.865767+1 7.308305-6 8.222870+1 7.312950-6 7.694282+1 7.315218-6 7.469577+1 7.317451-6 7.269645+1 7.319648-6 7.093350+1 7.322877-6 6.871148+1 7.326277-6 6.684213+1 7.329351-6 6.556787+1 7.331363-6 6.494736+1 7.335324-6 6.422048+1 7.339161-6 6.414507+1 7.368898-6 8.565514+1 7.379700-6 1.042605+2 7.389501-6 1.270204+2 7.398077-6 1.520968+2 7.417892-6 2.317024+2 7.427318-6 2.819657+2 7.433278-6 3.184647+2 7.440428-6 3.674545+2 7.450649-6 4.481060+2 7.459793-6 5.316154+2 7.465524-6 5.897302+2 7.470995-6 6.494982+2 7.476465-6 7.135449+2 7.485644-6 8.307419+2 7.494823-6 9.601276+2 7.514327-6 1.273617+3 7.516478-6 1.311141+3 7.532684-6 1.609292+3 7.538600-6 1.723631+3 7.549894-6 1.946851+3 7.559216-6 2.132947+3 7.568251-6 2.311673+3 7.577573-6 2.491000+3 7.586608-6 2.656534+3 7.594640-6 2.794151+3 7.603514-6 2.932984+3 7.606113-6 2.970626+3 7.616869-6 3.109808+3 7.625781-6 3.202753+3 7.635696-6 3.279820+3 7.644263-6 3.322673+3 7.650332-6 3.339287+3 7.659431-6 3.342628+3 7.665630-6 3.330198+3 7.679542-6 3.260489+3 7.688281-6 3.188986+3 7.696752-6 3.101298+3 7.706074-6 2.986298+3 7.715109-6 2.859090+3 7.723140-6 2.735396+3 7.730884-6 2.608722+3 7.742645-6 2.406769+3 7.751823-6 2.244726+3 7.762149-6 2.061636+3 7.770180-6 1.920874+3 7.788537-6 1.612660+3 7.794848-6 1.512922+3 7.807284-6 1.327984+3 7.824105-6 1.105162+3 7.860104-6 7.384776+2 7.869982-6 6.624845+2 7.879822-6 5.960594+2 7.889623-6 5.382664+2 7.899386-6 4.881620+2 7.909110-6 4.448280+2 7.918797-6 4.073964+2 7.928446-6 3.750649+2 7.938057-6 3.471073+2 7.957204-6 3.017322+2 7.976201-6 2.671524+2 7.995051-6 2.402498+2 8.013752-6 2.188236+2 8.032308-6 2.013569+2 8.050719-6 1.868150+2 8.071745-6 1.727786+2 8.088973-6 1.628719+2 8.105093-6 1.546486+2 8.140777-6 1.392646+2 8.175904-6 1.270039+2 8.210482-6 1.170000+2 8.244520-6 1.086894+2 8.278025-6 1.016852+2 8.311008-6 9.570850+1 8.355571-6 8.878765+1 8.406894-6 8.210255+1 8.468832-6 7.542419+1 8.537187-6 6.937913+1 8.586960-6 6.565542+1 8.660540-6 6.096313+1 8.750667-6 5.621953+1 8.801862-6 5.391962+1 8.920525-6 4.941141+1 8.994041-6 4.706430+1 9.106993-6 4.399564+1 9.239570-6 4.100145+1 9.386420-6 3.827375+1 9.556577-6 3.565838+1 9.650341-6 3.439790+1 9.811424-6 3.247132+1 9.971631-6 3.082303+1 1.026242-5 2.824855+1 1.082360-5 2.385808+1 1.097646-5 2.248208+1 1.107640-5 2.133076+1 1.114065-5 2.039148+1 1.120491-5 1.934396+1 1.124388-5 1.878161+1 1.126006-5 1.860259+1 1.128764-5 1.842029+1 1.131067-5 1.842811+1 1.133838-5 1.868690+1 1.135011-5 1.889106+1 1.136608-5 1.926673+1 1.138601-5 1.989803+1 1.140486-5 2.065911+1 1.141692-5 2.122491+1 1.144294-5 2.262511+1 1.148070-5 2.495152+1 1.150828-5 2.670403+1 1.153586-5 2.834200+1 1.154275-5 2.871754+1 1.156344-5 2.973296+1 1.157033-5 3.002921+1 1.159102-5 3.077438+1 1.160998-5 3.125490+1 1.161903-5 3.141366+1 1.163260-5 3.156672+1 1.164618-5 3.162051+1 1.165997-5 3.157899+1 1.167376-5 3.144820+1 1.169852-5 3.101965+1 1.172622-5 3.031230+1 1.175393-5 2.945245+1 1.183670-5 2.672430+1 1.186520-5 2.589541+1 1.192221-5 2.451016+1 1.203622-5 2.256363+1 1.212398-5 2.146192+1 1.218367-5 2.090398+1 1.221351-5 2.071478+1 1.224335-5 2.060210+1 1.227319-5 2.057389+1 1.229821-5 2.061601+1 1.234411-5 2.082965+1 1.242240-5 2.139125+1 1.247106-5 2.166376+1 1.250611-5 2.174977+1 1.253045-5 2.174530+1 1.257335-5 2.161793+1 1.263129-5 2.127938+1 1.272082-5 2.070529+1 1.277333-5 2.046548+1 1.283091-5 2.029332+1 1.296598-5 2.001484+1 1.327320-5 1.923489+1 1.360608-5 1.837254+1 1.469127-5 1.574619+1 1.515196-5 1.475258+1 1.562530-5 1.375631+1 1.606376-5 1.285965+1 1.660000-5 1.180426+1 1.698296-5 1.105989+1 1.747833-5 1.011819+1 1.792733-5 9.286532+0 1.832965-5 8.555864+0 1.874784-5 7.800598+0 1.919208-5 7.022594+0 1.967765-5 6.172103+0 2.013693-5 5.381716+0 2.068873-5 4.450670+0 2.106656-5 3.824361+0 2.121691-5 3.577542+0 2.158492-5 2.977270+0 2.180000-5 2.635133+0 2.200000-5 2.325461+0 2.220147-5 2.020984+0 2.244472-5 1.662530+0 2.259572-5 1.446722+0 2.274685-5 1.238221+0 2.291461-5 1.017931+0 2.307188-5 8.242575-1 2.321932-5 6.561322-1 2.335755-5 5.124286-1 2.348714-5 3.921870-1 2.360862-5 2.947723-1 2.372252-5 2.197483-1 2.382930-5 1.666437-1 2.392940-5 1.348407-1 2.402325-5 1.235849-1 2.411123-5 1.319668-1 2.419371-5 1.587260-1 2.427104-5 2.018370-1 2.437751-5 2.890932-1 2.442293-5 3.343181-1 2.447322-5 3.875558-1 2.453325-5 4.514657-1 2.458744-5 5.046778-1 2.463934-5 5.469641-1 2.471107-5 5.841506-1 2.475360-5 5.918806-1 2.481720-5 5.821846-1 2.487296-5 5.542976-1 2.490729-5 5.298585-1 2.494002-5 5.028968-1 2.497070-5 4.756851-1 2.505172-5 4.055756-1 2.507542-5 3.886917-1 2.509764-5 3.757168-1 2.513930-5 3.616343-1 2.517576-5 3.641387-1 2.520766-5 3.814347-1 2.523557-5 4.111214-1 2.525999-5 4.506100-1 2.529979-5 5.482548-1 2.530273-5 5.573679-1 2.533479-5 6.767148-1 2.535883-5 7.937061-1 2.539489-5 1.023492+0 2.543095-5 1.334205+0 2.555614-5 3.407385+0 2.558744-5 4.290118+0 2.561873-5 5.383821+0 2.565003-5 6.730834+0 2.568133-5 8.379554+0 2.571263-5 1.038444+1 2.574392-5 1.280573+1 2.577522-5 1.570882+1 2.580652-5 1.916318+1 2.582217-5 2.111954+1 2.584564-5 2.436609+1 2.586911-5 2.801407+1 2.590065-5 3.359790+1 2.592979-5 3.950647+1 2.595266-5 4.467920+1 2.598540-5 5.293645+1 2.600504-5 5.838681+1 2.603697-5 6.804930+1 2.606889-5 7.869752+1 2.613274-5 1.027627+2 2.614072-5 1.060047+2 2.619659-5 1.298461+2 2.621854-5 1.396293+2 2.626045-5 1.586110+2 2.629133-5 1.725863+2 2.631852-5 1.846594+2 2.633122-5 1.901728+2 2.636021-5 2.023376+2 2.639041-5 2.141929+2 2.641735-5 2.238864+2 2.644875-5 2.339195+2 2.648592-5 2.437783+2 2.651784-5 2.503158+2 2.652896-5 2.521515+2 2.656067-5 2.561110+2 2.659211-5 2.581707+2 2.662181-5 2.584610+2 2.665596-5 2.569400+2 2.667971-5 2.548239+2 2.671912-5 2.496803+2 2.676194-5 2.422978+2 2.681147-5 2.323151+2 2.689895-5 2.139609+2 2.697428-5 2.002540+2 2.703331-5 1.918550+2 2.708299-5 1.863766+2 2.715256-5 1.805078+2 2.726792-5 1.720567+2 2.733530-5 1.658589+2 2.736942-5 1.620366+2 2.740593-5 1.573758+2 2.743574-5 1.531322+2 2.747487-5 1.470044+2 2.751261-5 1.405707+2 2.752519-5 1.383294+2 2.757419-5 1.292460+2 2.759052-5 1.261261+2 2.765586-5 1.134584+2 2.772130-5 1.009174+2 2.778789-5 8.880471+1 2.786053-5 7.672321+1 2.792108-5 6.769284+1 2.812086-5 4.446280+1 2.832064-5 2.925767+1 2.841753-5 2.397779+1 2.852403-5 1.937616+1 2.861101-5 1.637458+1 2.867625-5 1.448490+1 2.877410-5 1.211514+1 2.901408-5 7.928654+0 2.915621-5 6.134931+0 2.944047-5 3.416421+0 2.951154-5 2.882825+0 2.965366-5 2.020573+0 2.969600-5 1.828580+0 2.971716-5 1.745824+0 2.973833-5 1.672514+0 2.976228-5 1.601538+0 2.983411-5 1.470858+0 2.985942-5 1.456134+0 2.988472-5 1.458482+0 2.995792-5 1.563031+0 2.997622-5 1.611672+0 3.003112-5 1.808665+0 3.004942-5 1.890225+0 3.011905-5 2.261430+0 3.016417-5 2.540842+0 3.019318-5 2.729836+0 3.022218-5 2.921835+0 3.024761-5 3.089589+0 3.026671-5 3.213544+0 3.029530-5 3.393085+0 3.032391-5 3.562372+0 3.036050-5 3.758165+0 3.038795-5 3.886048+0 3.040625-5 3.960918+0 3.043828-5 4.069923+0 3.047030-5 4.148849+0 3.047945-5 4.165638+0 3.054350-5 4.210078+0 3.057595-5 4.184824+0 3.060694-5 4.133010+0 3.063792-5 4.056945+0 3.065858-5 3.994477+0 3.067666-5 3.933226+0 3.070829-5 3.814056+0 3.073202-5 3.717323+0 3.080320-5 3.414264+0 3.083629-5 3.279934+0 3.087288-5 3.146389+0 3.090948-5 3.035867+0 3.097294-5 2.916702+0 3.100009-5 2.898493+0 3.104918-5 2.919668+0 3.106552-5 2.942335+0 3.109567-5 3.004181+0 3.111453-5 3.055608+0 3.113673-5 3.127920+0 3.120227-5 3.406034+0 3.131252-5 4.008465+0 3.136040-5 4.279564+0 3.140593-5 4.519915+0 3.144008-5 4.680740+0 3.147082-5 4.806689+0 3.150937-5 4.934827+0 3.152888-5 4.985658+0 3.156606-5 5.054671+0 3.160386-5 5.086023+0 3.162460-5 5.086465+0 3.168784-5 5.016990+0 3.170734-5 4.975353+0 3.174147-5 4.881974+0 3.179267-5 4.699641+0 3.184387-5 4.478570+0 3.187706-5 4.321383+0 3.192445-5 4.087401+0 3.207298-5 3.389717+0 3.212949-5 3.175456+0 3.214707-5 3.116909+0 3.219493-5 2.978445+0 3.223529-5 2.885729+0 3.225280-5 2.852260+0 3.228496-5 2.801060+0 3.232107-5 2.758575+0 3.233871-5 2.743196+0 3.238582-5 2.717719+0 3.241808-5 2.711809+0 3.245057-5 2.713826+0 3.250047-5 2.729478+0 3.257947-5 2.775566+0 3.283459-5 2.969991+0 3.320897-5 3.228258+0 3.334814-5 3.347855+0 3.348908-5 3.495352+0 3.361663-5 3.654773+0 3.366377-5 3.720296+0 3.383197-5 3.984288+0 3.398452-5 4.264966+0 3.411098-5 4.526813+0 3.428560-5 4.930280+0 3.459380-5 5.757888+0 3.530000-5 8.246657+0 3.550000-5 9.101561+0 3.564383-5 9.749383+0 3.599610-5 1.144748+1 3.731227-5 2.018657+1 3.772455-5 2.394077+1 3.812737-5 2.814914+1 3.850000-5 3.256134+1 3.912260-5 4.116270+1 3.950000-5 4.720009+1 3.983938-5 5.320584+1 4.033704-5 6.301874+1 4.079349-5 7.314118+1 4.120975-5 8.341813+1 4.168694-5 9.647887+1 4.222680-5 1.129382+2 4.286692-5 1.348302+2 4.328794-5 1.507488+2 4.402395-5 1.813036+2 4.441130-5 1.987309+2 4.479865-5 2.171668+2 4.526149-5 2.404556+2 4.595574-5 2.775821+2 4.642456-5 3.040009+2 4.680719-5 3.263005+2 4.737859-5 3.607630+2 4.805912-5 4.032083+2 4.845018-5 4.280175+2 4.900000-5 4.631585+2 4.970000-5 5.079490+2 5.040000-5 5.522740+2 5.110000-5 5.956025+2 5.170000-5 6.313857+2 5.232991-5 6.674857+2 5.308844-5 7.089122+2 5.370318-5 7.403882+2 5.450000-5 7.781277+2 5.507284-5 8.029722+2 5.588750-5 8.349552+2 5.668759-5 8.624950+2 5.764532-5 8.909522+2 5.863328-5 9.153848+2 5.920532-5 9.270761+2 6.000000-5 9.405785+2 6.097500-5 9.530266+2 6.180000-5 9.599029+2 6.275000-5 9.640483+2 6.400000-5 9.644868+2 6.508798-5 9.606403+2 6.634539-5 9.516146+2 6.698581-5 9.451175+2 6.806777-5 9.316180+2 6.903600-5 9.175128+2 7.003800-5 9.008836+2 7.192067-5 8.662626+2 7.328245-5 8.400496+2 7.446013-5 8.165803+2 7.680000-5 7.682782+2 7.951116-5 7.127507+2 8.258579-5 6.524511+2 8.652613-5 5.815364+2 9.125343-5 5.068844+2 9.283664-5 4.863166+2 9.366666-5 4.728643+2 9.507689-5 4.473813+2 9.549926-5 4.410699+2 9.600477-5 4.350833+2 9.692183-5 4.280051+2 9.902270-5 4.162287+2 1.005419-4 4.055677+2 1.013208-4 3.990145+2 1.032006-4 3.819456+2 1.042697-4 3.747496+2 1.062375-4 3.657120+2 1.081779-4 3.564077+2 1.137817-4 3.281321+2 1.250000-4 2.805569+2 1.333521-4 2.534176+2 1.366300-4 2.461623+2 1.376244-4 2.430917+2 1.412064-4 2.302459+2 1.422750-4 2.273156+2 1.432910-4 2.253543+2 1.445175-4 2.239952+2 1.461679-4 2.227864+2 1.513561-4 2.176179+2 1.580000-4 2.108842+2 1.665295-4 2.039644+2 1.778279-4 1.979238+2 1.891799-4 1.943902+2 1.975000-4 1.929098+2 2.083150-4 1.919799+2 2.190000-4 1.917025+2 2.621440-4 1.925061+2 2.733750-4 1.922935+2 2.851018-4 1.916830+2 2.985383-4 1.903200+2 3.162278-4 1.871432+2 3.350000-4 1.820031+2 3.527674-4 1.750528+2 3.685895-4 1.670690+2 3.858933-4 1.560825+2 3.954400-4 1.490453+2 4.071034-4 1.390730+2 4.174698-4 1.291302+2 4.242786-4 1.219818+2 4.324549-4 1.126260+2 4.403804-4 1.027486+2 4.437918-4 9.823203+1 4.487462-4 9.135302+1 4.544645-4 8.299786+1 4.603891-4 7.387500+1 4.635127-4 6.887962+1 4.677351-4 6.192228+1 4.705193-4 5.722626+1 4.750276-4 4.955649+1 4.773989-4 4.559442+1 4.801208-4 4.122812+1 4.835079-4 3.618163+1 4.884581-4 2.969072+1 4.898117-4 2.817610+1 4.910450-4 2.696530+1 4.922019-4 2.603216+1 4.931495-4 2.545948+1 4.940838-4 2.510768+1 4.947649-4 2.501094+1 4.954502-4 2.507223+1 4.960240-4 2.526216+1 4.965009-4 2.552692+1 4.970293-4 2.594468+1 4.973354-4 2.625118+1 4.977160-4 2.670286+1 4.980006-4 2.709437+1 4.986472-4 2.816730+1 4.990910-4 2.906171+1 4.994248-4 2.982483+1 4.998000-4 3.078065+1 5.002498-4 3.206992+1 5.007872-4 3.382716+1 5.012742-4 3.563555+1 5.021087-4 3.924368+1 5.028205-4 4.286213+1 5.037000-4 4.806585+1 5.048066-4 5.582683+1 5.069473-4 7.486076+1 5.081604-4 8.801081+1 5.087999-4 9.560631+1 5.098207-4 1.086298+2 5.108499-4 1.227978+2 5.116874-4 1.350195+2 5.129437-4 1.543593+2 5.142000-4 1.746931+2 5.157277-4 2.004131+2 5.169200-4 2.210075+2 5.182000-4 2.434235+2 5.197000-4 2.698923+2 5.210268-4 2.933425+2 5.224000-4 3.175437+2 5.239139-4 3.440524+2 5.255098-4 3.716997+2 5.265107-4 3.888328+2 5.280625-4 4.149890+2 5.295135-4 4.388920+2 5.314533-4 4.697974+2 5.331600-4 4.958015+2 5.343838-4 5.136774+2 5.361500-4 5.382546+2 5.375381-4 5.565338+2 5.397500-4 5.837948+2 5.414124-4 6.028478+2 5.431250-4 6.212846+2 5.463866-4 6.533704+2 5.482317-4 6.698925+2 5.530000-4 7.073326+2 5.573614-4 7.351860+2 5.623760-4 7.612649+2 5.656931-4 7.762624+2 5.706100-4 7.961604+2 5.754400-4 8.127271+2 5.782092-4 8.207067+2 5.830194-4 8.320364+2 5.916441-4 8.461097+2 5.978000-4 8.529973+2 6.128631-4 8.637029+2 6.478641-4 8.814857+2 6.578068-4 8.839560+2 6.708677-4 8.842503+2 6.809061-4 8.799241+2 6.952279-4 8.649221+2 6.995883-4 8.627272+2 7.026064-4 8.650453+2 7.058884-4 8.727120+2 7.088083-4 8.843182+2 7.139686-4 9.128403+2 7.173102-4 9.329712+2 7.209162-4 9.527412+2 7.257739-4 9.734333+2 7.314053-4 9.889873+2 7.438296-4 1.008614+3 7.489691-4 1.018988+3 7.538792-4 1.032964+3 7.640000-4 1.068633+3 7.718681-4 1.092530+3 7.807344-4 1.111661+3 7.932879-4 1.130292+3 8.107486-4 1.148716+3 8.235014-4 1.157520+3 8.471582-4 1.169456+3 8.677790-4 1.195207+3 8.982541-4 1.235687+3 9.125032-4 1.249350+3 9.280418-4 1.260672+3 9.733591-4 1.284379+3 1.037731-3 1.305691+3 1.098149-3 1.317639+3 1.156445-3 1.323225+3 1.228800-3 1.320651+3 1.364583-3 1.306542+3 1.500548-3 1.286600+3 1.621810-3 1.261275+3 1.764550-3 1.229925+3 1.912543-3 1.193867+3 2.097152-3 1.148315+3 2.295818-3 1.099816+3 2.411087-3 1.070379+3 2.640550-3 1.011766+3 2.759482-3 9.807191+2 2.874339-3 9.495677+2 3.002303-3 9.144736+2 3.113362-3 8.825073+2 3.218179-3 8.511290+2 3.310130-3 8.222751+2 3.400220-3 7.918939+2 3.471542-3 7.660570+2 3.539771-3 7.393379+2 3.597168-3 7.147713+2 3.644973-3 6.922148+2 3.685727-3 6.708494+2 3.723381-3 6.485673+2 3.755950-3 6.263938+2 3.782530-3 6.052492+2 3.804618-3 5.845228+2 3.823238-3 5.641033+2 3.836751-3 5.474977+2 3.866056-3 5.086937+2 3.884074-3 4.871584+2 3.895155-3 4.770306+2 3.902253-3 4.723633+2 3.907838-3 4.698566+2 3.914040-3 4.683713+2 3.922164-3 4.685735+2 3.930575-3 4.713351+2 3.936766-3 4.749355+2 3.945536-3 4.820492+2 3.959457-3 4.970901+2 3.986204-3 5.312796+2 3.996469-3 5.437445+2 4.007334-3 5.555425+2 4.019984-3 5.670136+2 4.035814-3 5.776887+2 4.050084-3 5.839772+2 4.066129-3 5.878417+2 4.081502-3 5.891807+2 4.117617-3 5.897330+2 4.137940-3 5.934471+2 4.155979-3 6.012902+2 4.175519-3 6.149401+2 4.224136-3 6.606078+2 4.241438-3 6.757252+2 4.258315-3 6.882872+2 4.278435-3 7.001987+2 4.298029-3 7.088442+2 4.322147-3 7.161779+2 4.364096-3 7.231877+2 4.399672-3 7.283870+2 4.431048-3 7.372685+2 4.456368-3 7.486213+2 4.515445-3 7.814826+2 4.535311-3 7.913883+2 4.560004-3 8.018577+2 4.586408-3 8.109539+2 4.621937-3 8.206217+2 4.660344-3 8.288667+2 4.713041-3 8.377864+2 4.805280-3 8.486854+2 4.912347-3 8.564343+2 5.034328-3 8.608304+2 5.201857-3 8.609815+2 5.378779-3 8.564707+2 5.600066-3 8.462121+2 5.830776-3 8.323422+2 6.126148-3 8.113885+2 6.507849-3 7.813082+2 6.972972-3 7.435319+2 7.588484-3 6.947567+2 8.327369-3 6.401670+2 9.316097-3 5.750128+2 1.040557-2 5.141191+2 1.157381-2 4.589964+2 1.269683-2 4.140270+2 1.390353-2 3.723416+2 1.550476-2 3.252905+2 1.678049-2 2.931510+2 1.798853-2 2.662532+2 1.949077-2 2.368678+2 2.091933-2 2.124724+2 2.248527-2 1.890621+2 2.382977-2 1.711510+2 2.501632-2 1.565900+2 2.593984-2 1.457430+2 2.663753-2 1.375877+2 2.721731-2 1.305919+2 2.762868-2 1.252820+2 2.782754-2 1.225126+2 2.798742-2 1.201264+2 2.813254-2 1.177751+2 2.826523-2 1.154032+2 2.837645-2 1.132004+2 2.852772-2 1.098458+2 2.888111-2 1.014511+2 2.900157-2 9.936393+1 2.908917-2 9.844034+1 2.918791-2 9.811148+1 2.927460-2 9.844848+1 2.937000-2 9.940951+1 2.951131-2 1.016145+2 2.976881-2 1.061878+2 2.991466-2 1.083035+2 3.008477-2 1.101157+2 3.028600-2 1.115022+2 3.057851-2 1.125821+2 3.091836-2 1.130702+2 3.133261-2 1.130666+2 3.198895-2 1.122863+2 3.295793-2 1.101633+2 3.393691-2 1.074275+2 3.543363-2 1.028119+2 3.759323-2 9.603996+1 3.983973-2 8.921660+1 4.333861-2 7.947910+1 4.759684-2 6.927685+1 5.195350-2 6.055878+1 5.647744-2 5.298663+1 6.354182-2 4.349905+1 7.318850-2 3.406267+1 9.154716-2 2.289261+1 1.149890-1 1.520122+1 1.449645-1 9.939732+0 1.825563-1 6.469024+0 2.243688-1 4.376872+0 3.019952-1 2.469861+0 4.328077-1 1.225318+0 6.645077-1 5.274126-1 1.120601+0 1.871745-1 2.688134+0 3.268628-2 8.118035+0 3.587420-3 2.451607+1 3.933947-4 7.403736+1 4.313538-5 2.235892+2 4.729706-6 6.752287+2 5.186020-7 2.511886+3 3.747451-8 7.943282+3 3.747451-9 2.511886+4 3.74745-10 7.943282+4 3.74745-11 1.000000+5 2.36448-11 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.297300-6 1.258900-6 2.056100-6 1.584900-6 3.258700-6 1.995300-6 5.164700-6 2.511900-6 8.185400-6 3.162300-6 1.297300-5 3.981100-6 2.056100-5 5.011900-6 3.258600-5 6.309600-6 5.164500-5 7.943300-6 8.185200-5 1.000000-5 1.297200-4 1.258900-5 2.056000-4 1.584900-5 3.258400-4 1.995300-5 5.164100-4 2.511900-5 8.184400-4 3.162300-5 1.297000-3 3.981100-5 2.055200-3 5.011900-5 3.256600-3 6.309600-5 5.160400-3 7.943300-5 8.170500-3 1.000000-4 1.293400-2 1.258900-4 2.047700-2 1.584900-4 3.237300-2 1.995300-4 5.114500-2 2.511900-4 8.062800-2 3.162300-4 1.267400-1 3.981100-4 1.982500-1 5.011900-4 3.072700-1 6.309600-4 4.703700-1 7.943300-4 7.075300-1 1.000000-3 1.040500+0 1.258900-3 1.487900+0 1.584900-3 2.061600+0 1.995300-3 2.767300+0 2.511900-3 3.609200+0 3.162300-3 4.590100+0 3.981100-3 5.720900+0 5.011900-3 7.024500+0 6.309600-3 8.507200+0 7.943300-3 1.018600+1 1.000000-2 1.202900+1 1.258900-2 1.394500+1 1.584900-2 1.577400+1 1.995300-2 1.747800+1 2.511900-2 1.902200+1 3.162300-2 2.035300+1 3.981100-2 2.129200+1 5.011900-2 2.198400+1 6.309600-2 2.250200+1 7.943300-2 2.248600+1 1.000000-1 2.211100+1 1.258900-1 2.144100+1 1.584900-1 2.052800+1 1.995300-1 1.943300+1 2.511900-1 1.820800+1 3.162300-1 1.690800+1 3.981100-1 1.557800+1 5.011900-1 1.425500+1 6.309600-1 1.295900+1 7.943300-1 1.170700+1 1.000000+0 1.050800+1 1.258900+0 9.373000+0 1.584900+0 8.307300+0 1.995300+0 7.315000+0 2.511900+0 6.400200+0 3.162300+0 5.565300+0 3.981100+0 4.810700+0 5.011900+0 4.135000+0 6.309600+0 3.536000+0 7.943300+0 3.009100+0 1.000000+1 2.549300+0 1.258900+1 2.151200+0 1.584900+1 1.808500+0 1.995300+1 1.515400+0 2.511900+1 1.266000+0 3.162300+1 1.054800+0 3.981100+1 8.767100-1 5.011900+1 7.270600-1 6.309600+1 6.017400-1 7.943300+1 4.971200-1 1.000000+2 4.100100-1 1.258900+2 3.376500-1 1.584900+2 2.776700-1 1.995300+2 2.280600-1 2.511900+2 1.871000-1 3.162300+2 1.533200-1 3.981100+2 1.255200-1 5.011900+2 1.026600-1 6.309600+2 8.389100-2 7.943300+2 6.849800-2 1.000000+3 5.588600-2 1.258900+3 4.556300-2 1.584900+3 3.712200-2 1.995300+3 3.022500-2 2.511900+3 2.459500-2 3.162300+3 2.000100-2 3.981100+3 1.625700-2 5.011900+3 1.320700-2 6.309600+3 1.072300-2 7.943300+3 8.702900-3 1.000000+4 7.059800-3 1.258900+4 5.724500-3 1.584900+4 4.639800-3 1.995300+4 3.759100-3 2.511900+4 3.044400-3 3.162300+4 2.464600-3 3.981100+4 1.994600-3 5.011900+4 1.613600-3 6.309600+4 1.305000-3 7.943300+4 1.055100-3 1.000000+5 8.527200-4 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159548-4 3.981072-4 3.976753-4 5.011872-4 5.005051-4 6.309573-4 6.298816-4 7.943282-4 7.926350-4 1.000000-3 9.973417-4 1.258925-3 1.254764-3 1.584893-3 1.578387-3 1.995262-3 1.985131-3 2.511886-3 2.496137-3 3.162278-3 3.137763-3 3.981072-3 3.942815-3 5.011872-3 4.952263-3 6.309573-3 6.216486-3 7.943282-3 7.797891-3 1.000000-2 9.772925-3 1.258925-2 1.223777-2 1.584893-2 1.530715-2 1.995262-2 1.912076-2 2.511886-2 2.384491-2 3.162278-2 2.967836-2 3.981072-2 3.685450-2 5.011872-2 4.565624-2 6.309573-2 5.641771-2 7.943282-2 6.949914-2 1.000000-1 8.536280-2 1.258925-1 1.045089-1 1.584893-1 1.275066-1 1.995262-1 1.550458-1 2.511886-1 1.879064-1 3.162278-1 2.269800-1 3.981072-1 2.732971-1 5.011872-1 3.280256-1 6.309573-1 3.925952-1 7.943282-1 4.685325-1 1.000000+0 5.579947-1 1.258925+0 6.634358-1 1.584893+0 7.877128-1 1.995262+0 9.348022-1 2.511886+0 1.109329+0 3.162278+0 1.317059+0 3.981072+0 1.565029+0 5.011872+0 1.861815+0 6.309573+0 2.218010+0 7.943282+0 2.646500+0 1.000000+1 3.163117+0 1.258925+1 3.787162+0 1.584893+1 4.542317+0 1.995262+1 5.457446+0 2.511886+1 6.568179+0 3.162278+1 7.918236+0 3.981072+1 9.560823+0 5.011872+1 1.156150+1 6.309573+1 1.400117+1 7.943282+1 1.697877+1 1.000000+2 2.061611+1 1.258925+2 2.506333+1 1.584893+2 3.050494+1 1.995262+2 3.716873+1 2.511886+2 4.533348+1 3.162278+2 5.534605+1 3.981072+2 6.763043+1 5.011872+2 8.271388+1 6.309573+2 1.012429+2 7.943282+2 1.240186+2 1.000000+3 1.520271+2 1.258925+3 1.864921+2 1.584893+3 2.289184+2 1.995262+3 2.811697+2 2.511886+3 3.455620+2 3.162278+3 4.249383+2 3.981072+3 5.228243+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739906-9 3.981072-5 4.342196-9 5.011872-5 6.881604-9 6.309573-5 1.090610-8 7.943282-5 1.728038-8 1.000000-4 2.738258-8 1.258925-4 4.339464-8 1.584893-4 6.874151-8 1.995262-4 1.088997-7 2.511886-4 1.724554-7 3.162278-4 2.729707-7 3.981072-4 4.318253-7 5.011872-4 6.821031-7 6.309573-4 1.075764-6 7.943282-4 1.693192-6 1.000000-3 2.658325-6 1.258925-3 4.161355-6 1.584893-3 6.505974-6 1.995262-3 1.013149-5 2.511886-3 1.574990-5 3.162278-3 2.451451-5 3.981072-3 3.825719-5 5.011872-3 5.960931-5 6.309573-3 9.308745-5 7.943282-3 1.453912-4 1.000000-2 2.270746-4 1.258925-2 3.514801-4 1.584893-2 5.417820-4 1.995262-2 8.318676-4 2.511886-2 1.273956-3 3.162278-2 1.944417-3 3.981072-2 2.956213-3 5.011872-2 4.462484-3 6.309573-2 6.678028-3 7.943282-2 9.933685-3 1.000000-1 1.463720-2 1.258925-1 2.138366-2 1.584893-1 3.098276-2 1.995262-1 4.448040-2 2.511886-1 6.328220-2 3.162278-1 8.924775-2 3.981072-1 1.248101-1 5.011872-1 1.731616-1 6.309573-1 2.383622-1 7.943282-1 3.257958-1 1.000000+0 4.420053-1 1.258925+0 5.954896-1 1.584893+0 7.971804-1 1.995262+0 1.060460+0 2.511886+0 1.402557+0 3.162278+0 1.845218+0 3.981072+0 2.416042+0 5.011872+0 3.150057+0 6.309573+0 4.091564+0 7.943282+0 5.296782+0 1.000000+1 6.836883+0 1.258925+1 8.802092+0 1.584893+1 1.130662+1 1.995262+1 1.449518+1 2.511886+1 1.855069+1 3.162278+1 2.370454+1 3.981072+1 3.024989+1 5.011872+1 3.855722+1 6.309573+1 4.909456+1 7.943282+1 6.245405+1 1.000000+2 7.938389+1 1.258925+2 1.008292+2 1.584893+2 1.279844+2 1.995262+2 1.623575+2 2.511886+2 2.058552+2 3.162278+2 2.608817+2 3.981072+2 3.304767+2 5.011872+2 4.184733+2 6.309573+2 5.297144+2 7.943282+2 6.703096+2 1.000000+3 8.479729+2 1.258925+3 1.072433+3 1.584893+3 1.355975+3 1.995262+3 1.714093+3 2.511886+3 2.166324+3 3.162278+3 2.737339+3 3.981072+3 3.458247+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.770000-6 2.927977+7 6.200000-6 2.555700+7 6.280000-6 2.491296+7 6.280000-6 3.911937+7 6.606934-6 3.558197+7 7.000000-6 3.173856+7 7.413102-6 2.815225+7 7.500000-6 2.745885+7 7.943282-6 2.418861+7 8.035261-6 2.356847+7 8.413951-6 2.117477+7 8.609938-6 2.005139+7 8.912509-6 1.843572+7 9.225714-6 1.692661+7 9.500000-6 1.571497+7 9.885531-6 1.418238+7 1.011579-5 1.334617+7 1.059254-5 1.179684+7 1.071519-5 1.143103+7 1.135011-5 9.743403+6 1.150000-5 9.388272+6 1.230269-5 7.735301+6 1.243400-5 7.499007+6 1.333521-5 6.095801+6 1.339000-5 6.020110+6 1.339000-5 6.791356+6 1.364583-5 6.362416+6 1.400000-5 5.824749+6 1.440000-5 5.288308+6 1.460000-5 5.044475+6 1.462177-5 5.018683+6 1.479108-5 4.822101+6 1.515000-5 4.437698+6 1.554900-5 4.057203+6 1.590000-5 3.758051+6 1.603245-5 3.652824+6 1.621810-5 3.511073+6 1.660000-5 3.239261+6 1.698244-5 2.994927+6 1.737801-5 2.767925+6 1.778279-5 2.559391+6 1.800000-5 2.456275+6 1.840772-5 2.276675+6 1.900000-5 2.045175+6 1.930400-5 1.938984+6 1.957000-5 1.852322+6 1.980000-5 1.781739+6 2.000000-5 1.723427+6 2.020000-5 1.667798+6 2.035000-5 1.627747+6 2.047000-5 1.596693+6 2.062000-5 1.559059+6 2.075000-5 1.527471+6 2.089296-5 1.493793+6 2.090000-5 1.492152+6 2.105000-5 1.457850+6 2.120000-5 1.424681+6 2.135000-5 1.392601+6 2.150000-5 1.361565+6 2.165000-5 1.331534+6 2.180000-5 1.302467+6 2.200000-5 1.265147+6 2.220000-5 1.229391+6 2.240000-5 1.195120+6 2.264644-5 1.154823+6 2.290868-5 1.114148+6 2.330000-5 1.057372+6 2.485000-5 8.711816+5 2.540973-5 8.163955+5 2.600160-5 7.642718+5 2.660725-5 7.163536+5 2.722701-5 6.722862+5 2.786121-5 6.320910+5 2.851018-5 5.950748+5 2.920000-5 5.597179+5 3.000000-5 5.231800+5 3.080000-5 4.907759+5 3.126079-5 4.736956+5 3.162278-5 4.613087+5 3.239000-5 4.368408+5 3.239000-5 2.821235+6 3.260000-5 2.818692+6 3.273407-5 2.817084+6 3.311311-5 2.827768+6 3.349000-5 2.855671+6 3.349000-5 4.355775+6 3.349654-5 4.356412+6 3.350000-5 4.356899+6 3.388442-5 4.411470+6 3.390000-5 4.414115+6 3.430000-5 4.502028+6 3.450000-5 4.561688+6 3.470000-5 4.622064+6 3.507519-5 4.764803+6 3.510000-5 4.775113+6 3.548134-5 4.953657+6 3.550000-5 4.962560+6 3.570000-5 5.072985+6 3.589219-5 5.181201+6 3.630781-5 5.452809+6 3.672823-5 5.771234+6 3.690000-5 5.917996+6 3.720000-5 6.182581+6 3.760000-5 6.581440+6 3.780000-5 6.794905+6 3.801894-5 7.045615+6 3.810000-5 7.140555+6 3.845918-5 7.586373+6 3.850000-5 7.638640+6 3.870000-5 7.908142+6 3.935501-5 8.873731+6 3.950000-5 9.105139+6 4.000000-5 9.960335+6 4.120975-5 1.237210+7 4.168694-5 1.346304+7 4.180000-5 1.373387+7 4.265795-5 1.591215+7 4.300000-5 1.684006+7 4.315191-5 1.726723+7 4.350000-5 1.826809+7 4.420000-5 2.037185+7 4.466836-5 2.181502+7 4.500000-5 2.288984+7 4.570882-5 2.518992+7 4.623810-5 2.691255+7 4.630000-5 2.712037+7 4.650000-5 2.776990+7 4.700000-5 2.940070+7 4.720000-5 3.003709+7 4.731513-5 3.039601+7 4.770100-5 3.162457+7 4.795100-5 3.238975+7 4.841724-5 3.379496+7 4.870000-5 3.461285+7 4.900000-5 3.546185+7 4.920000-5 3.599547+7 4.954502-5 3.689564+7 4.970000-5 3.730535+7 5.011872-5 3.827933+7 5.040000-5 3.894372+7 5.110000-5 4.036116+7 5.170000-5 4.137218+7 5.188000-5 4.165511+7 5.230000-5 4.221473+7 5.270000-5 4.269229+7 5.300000-5 4.298035+7 5.308844-5 4.306543+7 5.350000-5 4.340259+7 5.370318-5 4.352392+7 5.432503-5 4.380989+7 5.450000-5 4.385682+7 5.500000-5 4.393044+7 5.559043-5 4.384925+7 5.580000-5 4.382083+7 5.650000-5 4.352965+7 5.688529-5 4.326307+7 5.730000-5 4.298017+7 5.754399-5 4.278577+7 5.821032-5 4.214713+7 5.830000-5 4.206249+7 5.850000-5 4.185371+7 5.900000-5 4.126016+7 5.956621-5 4.055132+7 6.000000-5 3.995469+7 6.025596-5 3.958182+7 6.070000-5 3.894693+7 6.095369-5 3.855565+7 6.110000-5 3.833255+7 6.165950-5 3.744192+7 6.180000-5 3.722277+7 6.220000-5 3.655834+7 6.300000-5 3.520949+7 6.330000-5 3.468898+7 6.382635-5 3.375711+7 6.400000-5 3.345686+7 6.456542-5 3.244795+7 6.531306-5 3.111756+7 6.580000-5 3.024372+7 6.606934-5 2.975704+7 6.650000-5 2.899904+7 6.683439-5 2.840163+7 6.690000-5 2.828623+7 6.760830-5 2.704143+7 6.770000-5 2.688528+7 6.800000-5 2.636013+7 6.918310-5 2.435043+7 6.950000-5 2.382286+7 7.000000-5 2.299493+7 7.070000-5 2.189339+7 7.079458-5 2.174406+7 7.230000-5 1.947045+7 7.328245-5 1.806282+7 7.400000-5 1.711060+7 7.500000-5 1.581636+7 7.585776-5 1.479722+7 7.673615-5 1.378719+7 7.762471-5 1.284646+7 7.800000-5 1.246553+7 7.943282-5 1.109709+7 7.950000-5 1.103735+7 8.000000-5 1.059773+7 8.035261-5 1.029382+7 8.150000-5 9.372593+6 8.230000-5 8.778051+6 8.400000-5 7.632454+6 8.413951-5 7.545128+6 8.500000-5 7.031270+6 8.511380-5 6.965230+6 8.650000-5 6.215665+6 8.730000-5 5.820726+6 8.912509-5 5.011019+6 9.015711-5 4.606076+6 9.120108-5 4.228246+6 9.225714-5 3.881940+6 9.300000-5 3.655087+6 9.332543-5 3.559155+6 9.440609-5 3.260742+6 9.549926-5 2.987873+6 9.580000-5 2.915512+6 9.580000-5 3.506372+6 9.670000-5 3.304649+6 9.780000-5 3.075340+6 9.900000-5 2.845099+6 1.000000-4 2.663824+6 1.020000-4 2.341556+6 1.023293-4 2.293108+6 1.036400-4 2.109689+6 1.036400-4 2.369277+6 1.043000-4 2.288723+6 1.047129-4 2.239694+6 1.050000-4 2.206538+6 1.057000-4 2.127627+6 1.060000-4 2.094571+6 1.065000-4 2.041003+6 1.074000-4 1.948355+6 1.083927-4 1.851933+6 1.085000-4 1.841955+6 1.100000-4 1.708776+6 1.109175-4 1.633503+6 1.110000-4 1.627040+6 1.120000-4 1.552653+6 1.122018-4 1.538155+6 1.135011-4 1.450246+6 1.150000-4 1.359526+6 1.161449-4 1.297950+6 1.170000-4 1.255318+6 1.185000-4 1.188425+6 1.188502-4 1.173996+6 1.190000-4 1.167906+6 1.198000-4 1.136790+6 1.202264-4 1.121209+6 1.205000-4 1.111397+6 1.213000-4 1.084458+6 1.216186-4 1.074390+6 1.220000-4 1.062638+6 1.226600-4 1.043263+6 1.235000-4 1.020326+6 1.240000-4 1.007431+6 1.244515-4 9.965285+5 1.250000-4 9.838569+5 1.255000-4 9.729131+5 1.258925-4 9.648480+5 1.265000-4 9.527281+5 1.275000-4 9.346865+5 1.288250-4 9.136362+5 1.290000-4 9.110206+5 1.303167-4 8.938956+5 1.315000-4 8.808874+5 1.330000-4 8.669542+5 1.333521-4 8.642554+5 1.340000-4 8.597066+5 1.345000-4 8.563543+5 1.350000-4 8.536592+5 1.358000-4 8.494051+5 1.359200-4 8.488308+5 1.373000-4 8.431652+5 1.380384-4 8.409984+5 1.390000-4 8.389440+5 1.400000-4 8.379479+5 1.407000-4 8.373025+5 1.412538-4 8.370615+5 1.415000-4 8.371058+5 1.428100-4 8.377113+5 1.428100-4 1.005264+6 1.428894-4 1.005300+6 1.430000-4 1.005395+6 1.440000-4 1.006701+6 1.450000-4 1.008521+6 1.465000-4 1.012260+6 1.480000-4 1.016755+6 1.490000-4 1.020508+6 1.520000-4 1.033014+6 1.531087-4 1.038043+6 1.548817-4 1.046688+6 1.550000-4 1.047307+6 1.580000-4 1.063485+6 1.584893-4 1.066292+6 1.603245-4 1.076601+6 1.635000-4 1.095193+6 1.640590-4 1.098524+6 1.659587-4 1.109332+6 1.690000-4 1.127458+6 1.698244-4 1.131962+6 1.737801-4 1.154553+6 1.740000-4 1.155792+6 1.778279-4 1.174929+6 1.798871-4 1.185673+6 1.800000-4 1.186183+6 1.850000-4 1.208427+6 1.883649-4 1.221484+6 1.905461-4 1.229876+6 1.927525-4 1.236884+6 1.950000-4 1.244173+6 1.972423-4 1.251032+6 2.000000-4 1.257965+6 2.018366-4 1.262174+6 2.041738-4 1.267579+6 2.065380-4 1.272055+6 2.089296-4 1.275982+6 2.113489-4 1.279911+6 2.137962-4 1.282940+6 2.162719-4 1.285379+6 2.187762-4 1.287588+6 2.190000-4 1.287786+6 2.220000-4 1.289416+6 2.264644-4 1.290839+6 2.290868-4 1.290875+6 2.300000-4 1.290863+6 2.350000-4 1.289423+6 2.371374-4 1.287912+6 2.398833-4 1.286018+6 2.454709-4 1.281144+6 2.483133-4 1.277665+6 2.500000-4 1.275568+6 2.540973-4 1.269772+6 2.570396-4 1.265439+6 2.600160-4 1.260313+6 2.620000-4 1.256851+6 2.660725-4 1.249151+6 2.691535-4 1.243447+6 2.730000-4 1.235367+6 2.754229-4 1.229997+6 2.818383-4 1.215672+6 2.851018-4 1.207743+6 2.917427-4 1.191070+6 2.951209-4 1.182735+6 2.985383-4 1.173805+6 3.000000-4 1.170038+6 3.090295-4 1.145615+6 3.100000-4 1.143062+6 3.126079-4 1.135808+6 3.162278-4 1.125820+6 3.235937-4 1.105046+6 3.273407-4 1.094586+6 3.349654-4 1.072780+6 3.350000-4 1.072683+6 3.467369-4 1.039502+6 3.507519-4 1.028065+6 3.550000-4 1.016033+6 3.630781-4 9.932548+5 3.672823-4 9.817181+5 3.758374-4 9.580819+5 3.801894-4 9.461750+5 3.850000-4 9.332610+5 3.890451-4 9.225213+5 3.935501-4 9.104368+5 4.000000-4 8.935475+5 4.073803-4 8.744878+5 4.120975-4 8.626908+5 4.216965-4 8.388062+5 4.265795-4 8.267054+5 4.315191-4 8.147134+5 4.365158-4 8.028464+5 4.415704-4 7.908120+5 4.518559-4 7.672860+5 4.623810-4 7.440181+5 4.700000-4 7.276608+5 4.786301-4 7.093957+5 4.841724-4 6.980280+5 4.946200-4 6.770995+5 4.946200-4 7.082175+5 4.954502-4 7.111666+5 4.964000-4 7.153632+5 4.977000-4 7.231227+5 4.988000-4 7.320314+5 4.998000-4 7.426228+5 5.007000-4 7.548106+5 5.011872-4 7.627993+5 5.015700-4 7.696695+5 5.025000-4 7.905165+5 5.035700-4 8.217190+5 5.035700-4 8.631756+5 5.037000-4 8.690603+5 5.037500-4 8.714139+5 5.065000-4 1.029432+6 5.069907-4 1.067902+6 5.074000-4 1.103133+6 5.075000-4 1.112139+6 5.082000-4 1.178516+6 5.090000-4 1.263630+6 5.098000-4 1.358510+6 5.105000-4 1.449071+6 5.112000-4 1.545656+6 5.118000-4 1.632123+6 5.123000-4 1.703325+6 5.129000-4 1.789436+6 5.135000-4 1.875009+6 5.136400-4 1.894079+6 5.139000-4 1.930289+6 5.145000-4 2.010320+6 5.150000-4 2.074722+6 5.157000-4 2.161222+6 5.159000-4 2.184113+6 5.165000-4 2.254436+6 5.173400-4 2.347188+6 5.182000-4 2.440460+6 5.188000-4 2.503207+6 5.190000-4 2.524715+6 5.197000-4 2.595966+6 5.200000-4 2.625431+6 5.210000-4 2.718871+6 5.220000-4 2.809750+6 5.222000-4 2.826907+6 5.224000-4 2.818999+6 5.234000-4 2.903268+6 5.249000-4 3.027176+6 5.265000-4 3.160462+6 5.270000-4 3.203049+6 5.290000-4 3.362287+6 5.305000-4 3.486348+6 5.308844-4 3.511031+6 5.315000-4 3.544425+6 5.343000-4 3.690360+6 5.361000-4 3.784712+6 5.370318-4 3.811396+6 5.380000-4 3.839429+6 5.400000-4 3.891437+6 5.415000-4 3.931239+6 5.445000-4 4.006954+6 5.480000-4 4.058452+6 5.495409-4 4.077930+6 5.520000-4 4.109405+6 5.540000-4 4.120400+6 5.559043-4 4.111161+6 5.600000-4 4.091451+6 5.623413-4 4.076446+6 5.690000-4 4.034444+6 5.754399-4 3.987811+6 5.754400-4 3.987810+6 5.760000-4 3.980366+6 5.821032-4 3.891819+6 5.956621-4 3.705002+6 6.000000-4 3.643079+6 6.050000-4 3.573451+6 6.095369-4 3.514881+6 6.165950-4 3.426478+6 6.200000-4 3.384976+6 6.237348-4 3.344021+6 6.382635-4 3.191285+6 6.456542-4 3.118782+6 6.531306-4 3.047934+6 6.700000-4 2.896490+6 6.760830-4 2.844625+6 6.839116-4 2.777796+6 6.918310-4 2.712544+6 7.000000-4 2.647537+6 7.079458-4 2.586489+6 7.103200-4 2.568631+6 7.103200-4 2.881058+6 7.250000-4 2.777398+6 7.413102-4 2.667061+6 7.498942-4 2.611782+6 7.500000-4 2.611105+6 7.533600-4 2.589262+6 7.533600-4 2.657399+6 7.535000-4 2.657985+6 7.538000-4 2.660242+6 7.541000-4 2.662313+6 7.544000-4 2.664211+6 7.547000-4 2.665936+6 7.551500-4 2.668121+6 7.555000-4 2.669548+6 7.560000-4 2.671081+6 7.565000-4 2.672131+6 7.570000-4 2.672701+6 7.576000-4 2.672764+6 7.583000-4 2.672091+6 7.585776-4 2.671564+6 7.589000-4 2.670935+6 7.597000-4 2.668688+6 7.600000-4 2.667443+6 7.620000-4 2.657352+6 7.630000-4 2.651849+6 7.640000-4 2.646173+6 7.673615-4 2.625935+6 7.685000-4 2.619141+6 7.700000-4 2.610054+6 7.762471-4 2.571844+6 7.820000-4 2.536779+6 7.852356-4 2.517054+6 7.943282-4 2.462960+6 8.035261-4 2.409382+6 8.050000-4 2.400969+6 8.128305-4 2.356468+6 8.200000-4 2.315507+6 8.222426-4 2.302901+6 8.317638-4 2.249779+6 8.430000-4 2.190764+6 8.493900-4 2.157916+6 8.511380-4 2.149085+6 8.609938-4 2.099092+6 8.690500-4 2.059520+6 8.690500-4 2.148538+6 8.810489-4 2.090405+6 9.015711-4 1.994854+6 9.120108-4 1.948714+6 9.332543-4 1.858328+6 9.440609-4 1.814547+6 9.500000-4 1.791157+6 9.700000-4 1.714885+6 9.772372-4 1.688498+6 9.850000-4 1.660795+6 9.885531-4 1.648188+6 1.000000-3 1.608406+6 1.011579-3 1.569561+6 1.047129-3 1.458193+6 1.071519-3 1.387640+6 1.083927-3 1.353228+6 1.096478-3 1.319705+6 1.109175-3 1.286804+6 1.122018-3 1.254742+6 1.148154-3 1.192326+6 1.150000-3 1.188095+6 1.202264-3 1.075755+6 1.216186-3 1.048404+6 1.230269-3 1.021611+6 1.244515-3 9.954599+5 1.258925-3 9.698651+5 1.288250-3 9.207510+5 1.300000-3 9.019373+5 1.318257-3 8.736041+5 1.330000-3 8.560569+5 1.364583-3 8.071283+5 1.380384-3 7.859515+5 1.412538-3 7.453482+5 1.428894-3 7.256723+5 1.450000-3 7.013350+5 1.462177-3 6.878387+5 1.496236-3 6.518726+5 1.513561-3 6.346447+5 1.548817-3 6.013411+5 1.566751-3 5.853769+5 1.584893-3 5.698622+5 1.610000-3 5.490836+5 1.621810-3 5.396636+5 1.640590-3 5.251565+5 1.650000-3 5.181006+5 1.678804-3 4.973203+5 1.698244-3 4.839777+5 1.717908-3 4.709353+5 1.737801-3 4.581857+5 1.757924-3 4.456545+5 1.778279-3 4.334750+5 1.798871-3 4.216463+5 1.840772-3 3.989826+5 1.862087-3 3.881328+5 1.883649-3 3.775881+5 1.905461-3 3.673013+5 1.927525-3 3.572830+5 1.950000-3 3.474204+5 1.972423-3 3.379116+5 2.000000-3 3.266967+5 2.018366-3 3.195226+5 2.065380-3 3.021796+5 2.070000-3 3.005496+5 2.089296-3 2.938760+5 2.113489-3 2.858126+5 2.162719-3 2.701282+5 2.187762-3 2.625822+5 2.213095-3 2.552465+5 2.290868-3 2.344751+5 2.317395-3 2.279506+5 2.344229-3 2.215958+5 2.371374-3 2.154240+5 2.426610-3 2.034951+5 2.454709-3 1.977599+5 2.483133-3 1.921912+5 2.540973-3 1.815345+5 2.570396-3 1.764394+5 2.600160-3 1.714824+5 2.650000-3 1.635426+5 2.660725-3 1.618972+5 2.691535-3 1.572991+5 2.722701-3 1.528165+5 2.786121-3 1.442449+5 2.818383-3 1.401462+5 2.851018-3 1.361681+5 2.917427-3 1.285357+5 2.951209-3 1.248633+5 3.000000-3 1.198217+5 3.019952-3 1.178380+5 3.126079-3 1.079658+5 3.140690-3 1.066993+5 3.235937-3 9.894684+4 3.311311-3 9.331574+4 3.349654-3 9.062716+4 3.427678-3 8.547307+4 3.467369-3 8.299449+4 3.507519-3 8.059037+4 3.548134-3 7.825831+4 3.589219-3 7.599442+4 3.650000-3 7.280348+4 3.715352-3 6.955936+4 3.758374-3 6.753490+4 3.801894-3 6.557203+4 3.845918-3 6.366350+4 3.926800-3 6.034553+4 3.926800-3 1.923884+5 3.935501-3 1.913486+5 4.000000-3 1.838845+5 4.027170-3 1.808630+5 4.070000-3 1.762314+5 4.073803-3 1.758015+5 4.160800-3 1.663363+5 4.160800-3 2.265010+5 4.168694-3 2.255280+5 4.216965-3 2.197134+5 4.265795-3 2.140593+5 4.280000-3 2.124560+5 4.295000-3 2.106280+5 4.315191-3 2.080494+5 4.355000-3 2.030851+5 4.415704-3 1.959694+5 4.440300-3 1.931855+5 4.440300-3 2.222575+5 4.472000-3 2.183999+5 4.518559-3 2.128515+5 4.570882-3 2.068475+5 4.623810-3 2.010082+5 4.650000-3 1.982368+5 4.677351-3 1.953538+5 4.786301-3 1.844470+5 4.800000-3 1.831241+5 4.841724-3 1.791748+5 4.897788-3 1.740556+5 4.954502-3 1.690814+5 5.011872-3 1.642115+5 5.069907-3 1.594261+5 5.128614-3 1.547837+5 5.188000-3 1.502794+5 5.248075-3 1.459123+5 5.308844-3 1.416757+5 5.432503-3 1.335277+5 5.495409-3 1.296366+5 5.500000-3 1.293589+5 5.623413-3 1.221445+5 5.688529-3 1.185639+5 5.821032-3 1.117130+5 5.888437-3 1.084406+5 5.956621-3 1.052502+5 6.025596-3 1.021389+5 6.095369-3 9.911453+4 6.165950-3 9.618162+4 6.237348-3 9.333690+4 6.456542-3 8.530932+4 6.606934-3 8.034907+4 6.683439-3 7.798400+4 6.760830-3 7.567747+4 6.839116-3 7.343965+4 6.918310-3 7.126988+4 6.998420-3 6.916613+4 7.000000-3 6.912553+4 7.079458-3 6.711607+4 7.161434-3 6.512821+4 7.244360-3 6.318479+4 7.328245-3 6.129963+4 7.413102-3 5.947123+4 7.498942-3 5.769644+4 7.673615-3 5.430752+4 7.762471-3 5.267093+4 7.943282-3 4.953981+4 8.000000-3 4.861150+4 8.035261-3 4.804652+4 8.128305-3 4.659793+4 8.222426-3 4.519322+4 8.317638-3 4.382215+4 8.413951-3 4.249339+4 8.511380-3 4.120440+4 8.709636-3 3.873647+4 8.810489-3 3.755996+4 9.015711-3 3.531608+4 9.120108-3 3.424641+4 9.225714-3 3.320978+4 9.332543-3 3.220476+4 9.440609-3 3.122355+4 9.549926-3 3.027195+4 9.660509-3 2.934897+4 9.800000-3 2.823969+4 9.885531-3 2.758636+4 1.000000-2 2.673680+4 1.023293-2 2.511749+4 1.035142-2 2.434605+4 1.047129-2 2.359861+4 1.059254-2 2.287432+4 1.071519-2 2.217064+4 1.083927-2 2.148897+4 1.096478-2 2.082547+4 1.109175-2 2.018287+4 1.122018-2 1.956015+4 1.135011-2 1.895712+4 1.161449-2 1.780780+4 1.174898-2 1.726028+4 1.202264-2 1.621643+4 1.216186-2 1.571144+4 1.230269-2 1.522251+4 1.244515-2 1.474913+4 1.288250-2 1.341605+4 1.303167-2 1.299976+4 1.318257-2 1.259463+4 1.333521-2 1.220249+4 1.348963-2 1.182286+4 1.350000-2 1.179796+4 1.364583-2 1.145531+4 1.380384-2 1.109929+4 1.396368-2 1.075464+4 1.412538-2 1.042092+4 1.445440-2 9.777380+3 1.479108-2 9.174519+3 1.500000-2 8.826144+3 1.531087-2 8.340962+3 1.548817-2 8.080462+3 1.566751-2 7.828282+3 1.584893-2 7.583196+3 1.603245-2 7.344576+3 1.621810-2 7.113389+3 1.640590-2 6.888655+3 1.698244-2 6.257168+3 1.717908-2 6.060119+3 1.778279-2 5.506352+3 1.800000-2 5.324270+3 1.819701-2 5.166008+3 1.840772-2 5.003868+3 1.850000-2 4.934825+3 1.883649-2 4.692155+3 1.905461-2 4.542925+3 1.972423-2 4.123774+3 2.000000-2 3.966663+3 2.065380-2 3.625777+3 2.089296-2 3.511199+3 2.113489-2 3.400279+3 2.137962-2 3.292710+3 2.162719-2 3.188390+3 2.213095-2 2.988348+3 2.238721-2 2.892802+3 2.264644-2 2.800379+3 2.317395-2 2.624510+3 2.344229-2 2.540867+3 2.398833-2 2.381649+3 2.426610-2 2.305909+3 2.454709-2 2.232601+3 2.483133-2 2.161531+3 2.511886-2 2.092780+3 2.540973-2 2.025634+3 2.630268-2 1.837130+3 2.660725-2 1.778157+3 2.754229-2 1.612603+3 2.818383-2 1.511062+3 2.851018-2 1.462770+3 2.884032-2 1.415997+3 2.900000-2 1.394082+3 2.917427-2 1.370525+3 2.918400-2 1.369226+3 2.918400-2 8.446668+3 2.937000-2 8.343231+3 3.000000-2 7.932631+3 3.019952-2 7.790363+3 3.054921-2 7.549332+3 3.070000-2 7.448546+3 3.090295-2 7.326438+3 3.126079-2 7.117899+3 3.162278-2 6.915227+3 3.198895-2 6.706618+3 3.235937-2 6.504328+3 3.273407-2 6.308166+3 3.311311-2 6.117948+3 3.349654-2 5.933468+3 3.388442-2 5.754352+3 3.427678-2 5.580620+3 3.548134-2 5.098411+3 3.630781-2 4.800431+3 3.672823-2 4.658073+3 3.758374-2 4.385882+3 3.801894-2 4.252757+3 3.845918-2 4.123684+3 3.890451-2 3.998549+3 3.935501-2 3.877056+3 4.000000-2 3.711797+3 4.027170-2 3.645066+3 4.073803-2 3.534331+3 4.120975-2 3.426970+3 4.168694-2 3.322882+3 4.216965-2 3.221971+3 4.265795-2 3.124136+3 4.315191-2 3.027406+3 4.518559-2 2.669624+3 4.570882-2 2.587008+3 4.623810-2 2.506856+3 4.731513-2 2.353855+3 4.786301-2 2.280889+3 5.011872-2 2.011019+3 5.188000-2 1.829843+3 5.308844-2 1.718249+3 5.432503-2 1.613477+3 5.495409-2 1.563455+3 5.623413-2 1.466289+3 5.821032-2 1.331734+3 5.888437-2 1.289681+3 5.956621-2 1.248960+3 6.165950-2 1.134367+3 6.382635-2 1.030305+3 6.456542-2 9.977879+2 6.683439-2 9.061729+2 6.839116-2 8.498177+2 6.998420-2 7.962390+2 7.079458-2 7.707326+2 7.161434-2 7.460441+2 7.413102-2 6.766321+2 7.762471-2 5.940417+2 7.943282-2 5.565714+2 8.035261-2 5.387337+2 8.128305-2 5.214652+2 8.413951-2 4.729163+2 8.609938-2 4.430923+2 8.810489-2 4.148451+2 9.332543-2 3.518674+2 9.440609-2 3.404704+2 9.549926-2 3.294322+2 9.660509-2 3.187524+2 9.772372-2 3.084172+2 1.047129-1 2.530832+2 1.096478-1 2.218338+2 1.109175-1 2.146447+2 1.122019-1 2.076423+2 1.135011-1 2.008697+2 1.148154-1 1.943180+2 1.161449-1 1.879804+2 1.174898-1 1.818497+2 1.202264-1 1.701727+2 1.258925-1 1.490211+2 1.273503-1 1.441574+2 1.288250-1 1.394533+2 1.333521-1 1.262438+2 1.348963-1 1.221249+2 1.364583-1 1.181407+2 1.380384-1 1.142866+2 1.412538-1 1.069516+2 1.428894-1 1.034634+2 1.500000-1 8.995937+1 1.548817-1 8.203421+1 1.584893-1 7.677272+1 1.603245-1 7.427002+1 1.659587-1 6.724131+1 1.698244-1 6.292938+1 1.717908-1 6.087870+1 1.737801-1 5.889483+1 1.757924-1 5.697569+1 1.819701-1 5.158574+1 1.840772-1 4.990497+1 1.883649-1 4.670658+1 1.949845-1 4.228941+1 1.972423-1 4.091197+1 2.000000-1 3.931037+1 2.018366-1 3.829055+1 2.065380-1 3.586047+1 2.113489-1 3.358470+1 2.162719-1 3.145382+1 2.187762-1 3.043967+1 2.213095-1 2.945824+1 2.238721-1 2.850932+1 2.264644-1 2.759098+1 2.290868-1 2.670226+1 2.317395-1 2.584220+1 2.398833-1 2.342510+1 2.426610-1 2.267113+1 2.483133-1 2.123530+1 2.517970-1 2.042176+1 2.540973-1 1.990761+1 2.570396-1 1.927526+1 2.600160-1 1.866303+1 2.630268-1 1.807027+1 2.660725-1 1.749634+1 2.691535-1 1.694072+1 2.722701-1 1.640290+1 2.818383-1 1.489186+1 2.851018-1 1.441979+1 2.884032-1 1.396268+1 2.917427-1 1.352025+1 2.951209-1 1.309863+1 3.000000-1 1.252066+1 3.019952-1 1.229432+1 3.162278-1 1.083145+1 3.198895-1 1.049380+1 3.273407-1 9.850773+0 3.349654-1 9.247167+0 3.388442-1 8.964351+0 3.467369-1 8.424728+0 3.507519-1 8.167228+0 3.548134-1 7.917602+0 3.672823-1 7.213587+0 3.715352-1 6.993510+0 3.758374-1 6.780201+0 3.801894-1 6.573408+0 3.845918-1 6.376614+0 3.890451-1 6.185718+0 3.935501-1 6.000623+0 4.073803-1 5.477928+0 4.120975-1 5.314055+0 4.168694-1 5.155091+0 4.216965-1 5.001186+0 4.265795-1 4.851908+0 4.365158-1 4.572230+0 4.415705-1 4.438495+0 4.466836-1 4.308743+0 4.518559-1 4.182812+0 4.570882-1 4.060566+0 4.623810-1 3.941896+0 4.677351-1 3.826695+0 4.731513-1 3.715117+0 4.786301-1 3.606796+0 4.897788-1 3.404027+0 4.954502-1 3.306980+0 5.069907-1 3.121223+0 5.128614-1 3.032296+0 5.188000-1 2.945904+0 5.248075-1 2.862191+0 5.308844-1 2.780860+0 5.370318-1 2.703650+0 5.432503-1 2.628603+0 5.559043-1 2.484707+0 5.623413-1 2.415782+0 5.688529-1 2.348771+0 5.754399-1 2.283618+0 5.821032-1 2.220287+0 5.888437-1 2.158881+0 5.956621-1 2.100655+0 6.025596-1 2.044001+0 6.095369-1 1.988875+0 6.165950-1 1.935237+0 6.237348-1 1.883078+0 6.309573-1 1.832326+0 6.382635-1 1.782941+0 6.456542-1 1.734911+0 6.531306-1 1.688294+0 6.606935-1 1.644243+0 6.760830-1 1.559559+0 6.839117-1 1.518868+0 6.918310-1 1.479264+0 6.998420-1 1.440694+0 7.079458-1 1.403145+0 7.161434-1 1.366576+0 7.413102-1 1.265406+0 7.498942-1 1.233376+0 7.585776-1 1.202156+0 7.673615-1 1.171748+0 7.762471-1 1.142122+0 7.852356-1 1.113246+0 7.943282-1 1.085101+0 8.035261-1 1.058474+0 8.128305-1 1.032501+0 8.317638-1 9.824525-1 8.413951-1 9.583458-1 8.511380-1 9.348365-1 8.609938-1 9.119236-1 8.709636-1 8.895751-1 8.810489-1 8.678407-1 8.912509-1 8.466375-1 9.015711-1 8.264479-1 9.120108-1 8.067400-1 9.225714-1 7.875022-1 9.332543-1 7.687303-1 9.440609-1 7.504207-1 9.549926-1 7.325524-1 9.660509-1 7.151690-1 9.772372-1 6.981986-1 9.885531-1 6.822346-1 1.000000+0 6.666369-1 1.011579+0 6.514078-1 1.022000+0 6.381431-1 1.023293+0 6.365255-1 1.035142+0 6.219920-1 1.047129+0 6.077895-1 1.059254+0 5.939130-1 1.071519+0 5.803538-1 1.083927+0 5.671067-1 1.096478+0 5.541634-1 1.122018+0 5.292251-1 1.135011+0 5.171793-1 1.148154+0 5.057870-1 1.161449+0 4.946490-1 1.174898+0 4.837666-1 1.188600+0 4.730494-1 1.202264+0 4.627199-1 1.216186+0 4.525806-1 1.230269+0 4.426667-1 1.250000+0 4.296784-1 1.258925+0 4.239945-1 1.288250+0 4.061093-1 1.303167+0 3.974524-1 1.318257+0 3.889849-1 1.348963+0 3.725912-1 1.364583+0 3.646559-1 1.380384+0 3.568909-1 1.396368+0 3.492913-1 1.412538+0 3.418738-1 1.428894+0 3.348027-1 1.445440+0 3.278776-1 1.479108+0 3.144550-1 1.548817+0 2.892577-1 1.566751+0 2.833007-1 1.584893+0 2.776470-1 1.603245+0 2.721063-1 1.621810+0 2.666760-1 1.640590+0 2.613542-1 1.678804+0 2.510355-1 1.698244+0 2.460310-1 1.737801+0 2.363217-1 1.757924+0 2.316280-1 1.778279+0 2.271746-1 1.798871+0 2.228065-1 1.819701+0 2.185228-1 1.840772+0 2.143215-1 1.883649+0 2.061666-1 1.905461+0 2.022074-1 1.927525+0 1.983252-1 1.949845+0 1.945313-1 1.972423+0 1.909350-1 2.000000+0 1.866861-1 2.018366+0 1.839406-1 2.044000+0 1.802165-1 2.089296+0 1.739315-1 2.113489+0 1.707192-1 2.137962+0 1.675663-1 2.187762+0 1.614352-1 2.238721+0 1.555453-1 2.264644+0 1.527623-1 2.290868+0 1.500291-1 2.317395+0 1.473449-1 2.344229+0 1.447088-1 2.371374+0 1.421214-1 2.398833+0 1.395805-1 2.426610+0 1.370856-1 2.454709+0 1.346353-1 2.511886+0 1.298664-1 2.570396+0 1.252800-1 2.600160+0 1.231122-1 2.630268+0 1.209820-1 2.660725+0 1.188887-1 2.691535+0 1.168316-1 2.722701+0 1.148115-1 2.754229+0 1.128265-1 2.786121+0 1.108762-1 2.818383+0 1.089597-1 2.884032+0 1.052263-1 2.951209+0 1.016329-1 3.000000+0 9.922667-2 3.019952+0 9.827019-2 3.054921+0 9.663090-2 3.090295+0 9.501897-2 3.126079+0 9.343525-2 3.162278+0 9.187820-2 3.198895+0 9.034723-2 3.311311+0 8.590661-2 3.388442+0 8.307733-2 3.467369+0 8.042179-2 3.507519+0 7.912603-2 3.548134+0 7.785120-2 3.589219+0 7.659694-2 3.630781+0 7.536380-2 3.672823+0 7.415078-2 3.715352+0 7.295734-2 3.845918+0 6.949175-2 3.935501+0 6.728041-2 4.027170+0 6.520262-2 4.073803+0 6.418790-2 4.120975+0 6.318903-2 4.168694+0 6.220570-2 4.216965+0 6.123841-2 4.265795+0 6.028634-2 4.315191+0 5.934911-2 4.365158+0 5.842666-2 4.518559+0 5.574442-2 4.623810+0 5.403040-2 4.731513+0 5.241689-2 4.786301+0 5.162830-2 4.841724+0 5.085160-2 4.897788+0 5.008661-2 5.000000+0 4.874389-2 5.011872+0 4.859206-2 5.128614+0 4.714241-2 5.188000+0 4.643403-2 5.370318+0 4.437212-2 5.495409+0 4.305265-2 5.623413+0 4.180838-2 5.688529+0 4.119979-2 5.754399+0 4.060008-2 5.821032+0 4.000911-2 5.956621+0 3.885368-2 6.000000+0 3.849659-2 6.095369+0 3.773184-2 6.165950+0 3.718326-2 6.456542+0 3.506751-2 6.606934+0 3.405818-2 6.760830+0 3.310432-2 6.839116+0 3.263746-2 6.918310+0 3.217720-2 7.000000+0 3.171461-2 7.244360+0 3.040106-2 7.413102+0 2.955043-2 7.498942+0 2.913416-2 7.852356+0 2.752692-2 8.035261+0 2.675915-2 8.222427+0 2.603344-2 8.317638+0 2.567800-2 8.413951+0 2.532743-2 8.511380+0 2.498183-2 8.810489+0 2.397321-2 9.015711+0 2.332365-2 9.120108+0 2.300556-2 9.772372+0 2.118606-2 1.011579+1 2.033304-2 1.047129+1 1.953362-2 1.059254+1 1.927421-2 1.071519+1 1.901825-2 1.083927+1 1.876583-2 1.122018+1 1.802862-2 1.135011+1 1.778941-2 1.148154+1 1.755343-2 1.188502+1 1.686412-2 1.230269+1 1.620340-2 1.244515+1 1.598896-2 1.333521+1 1.478551-2 1.364583+1 1.440482-2 1.396368+1 1.403396-2 1.400000+1 1.399273-2 1.412538+1 1.385220-2 1.445440+1 1.349581-2 1.462177+1 1.332113-2 1.479108+1 1.314872-2 1.513561+1 1.281126-2 1.819701+1 1.044295-2 1.840772+1 1.031039-2 1.883649+1 1.005030-2 1.927525+1 9.796780-3 1.949845+1 9.672499-3 1.972423+1 9.550119-3 2.483133+1 7.443758-3 2.511886+1 7.351593-3 2.570396+1 7.170669-3 2.630268+1 6.994205-3 2.660725+1 6.907608-3 2.691535+1 6.822122-3 2.722701+1 6.737879-3 2.754229+1 6.654676-3 3.467369+1 5.214390-3 3.507519+1 5.151188-3 3.589219+1 5.027072-3 3.672823+1 4.905948-3 3.715352+1 4.846486-3 3.758374+1 4.787744-3 3.801894+1 4.729737-3 3.890451+1 4.616031-3 3.935501+1 4.560208-3 5.308844+1 3.339426-3 5.370318+1 3.299647-3 5.495409+1 3.221505-3 5.623413+1 3.145215-3 5.688529+1 3.107750-3 5.754399+1 3.070732-3 5.821032+1 3.034166-3 5.956621+1 2.962441-3 6.025596+1 2.927217-3 6.095369+1 2.892820-3 9.120108+1 1.912691-3 9.225714+1 1.890215-3 9.332543+1 1.868003-3 9.549926+1 1.824360-3 9.660509+1 1.802922-3 9.772372+1 1.781737-3 9.885531+1 1.760806-3 1.000000+2 1.740146-3 1.011579+2 1.719730-3 1.023293+2 1.699756-3 1.737801+2 9.931256-4 1.757924+2 9.815911-4 1.778279+2 9.701911-4 1.819701+2 9.477858-4 1.840772+2 9.367782-4 1.862087+2 9.259059-4 1.883649+2 9.151620-4 1.905461+2 9.045427-4 1.927525+2 8.941092-4 3.467369+2 4.947938-4 3.507519+2 4.890865-4 3.548134+2 4.834451-4 3.630781+2 4.723567-4 3.672823+2 4.669083-4 3.715352+2 4.615251-4 3.758374+2 4.562047-4 3.801894+2 4.509457-4 3.845918+2 4.457675-4 1.380384+3 1.236950-4 1.396368+3 1.222746-4 1.412538+3 1.208705-4 1.445440+3 1.181105-4 1.462177+3 1.167543-4 1.479108+3 1.154141-4 1.496236+3 1.140892-4 1.513561+3 1.127797-4 1.531087+3 1.114883-4 1.000000+5 1.704969-6 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.770000-6 5.770000-6 6.280000-6 5.770000-6 6.280000-6 5.955209-6 1.339000-5 5.974438-6 1.339000-5 6.816571-6 1.479108-5 6.561178-6 1.603245-5 6.381528-6 1.737801-5 6.235099-6 1.840772-5 6.154726-6 1.980000-5 6.090472-6 2.105000-5 6.074932-6 2.240000-5 6.101738-6 2.330000-5 6.143864-6 2.485000-5 6.258880-6 2.660725-5 6.447337-6 2.851018-5 6.707454-6 3.080000-5 7.076180-6 3.239000-5 7.352610-6 3.239000-5 1.959254-5 3.349000-5 1.980424-5 3.349000-5 2.040031-5 3.810000-5 2.114340-5 4.000000-5 2.135440-5 4.315191-5 2.154488-5 4.870000-5 2.164995-5 7.000000-5 2.164543-5 8.730000-5 2.151590-5 9.580000-5 2.136419-5 9.580000-5 2.504611-5 1.000000-4 2.601961-5 1.036400-4 2.678178-5 1.036400-4 2.856671-5 1.074000-4 2.970924-5 1.122018-4 3.092902-5 1.170000-4 3.196565-5 1.213000-4 3.268250-5 1.255000-4 3.314024-5 1.290000-4 3.332397-5 1.333521-4 3.331979-5 1.380384-4 3.309863-5 1.428100-4 3.273119-5 1.428100-4 3.778375-5 1.550000-4 3.660350-5 1.690000-4 3.526461-5 1.850000-4 3.406601-5 1.972423-4 3.336568-5 2.113489-4 3.278123-5 2.300000-4 3.226802-5 2.570396-4 3.180021-5 2.851018-4 3.151646-5 3.273407-4 3.134932-5 4.000000-4 3.136127-5 4.946200-4 3.164392-5 4.946200-4 3.287161-5 4.964000-4 3.327958-5 4.977000-4 3.366307-5 4.988000-4 3.406263-5 4.998000-4 3.450160-5 5.011872-4 3.526570-5 5.025000-4 3.621259-5 5.035700-4 3.717351-5 5.035700-4 3.822381-5 5.065000-4 4.181863-5 5.098000-4 4.623843-5 5.112000-4 4.789456-5 5.123000-4 4.900449-5 5.139000-4 5.028349-5 5.157000-4 5.130992-5 5.182000-4 5.229250-5 5.210000-4 5.307095-5 5.265000-4 5.402806-5 5.315000-4 5.465735-5 5.380000-4 5.508735-5 5.520000-4 5.551819-5 5.821032-4 5.565044-5 7.103200-4 5.543195-5 7.103200-4 6.023809-5 7.533600-4 6.080366-5 7.533600-4 6.184918-5 7.570000-4 6.247396-5 7.620000-4 6.279358-5 8.035261-4 6.339095-5 8.690500-4 6.400996-5 8.690500-4 6.678757-5 1.122018-3 6.954836-5 1.380384-3 7.197463-5 1.717908-3 7.465645-5 2.113489-3 7.724198-5 2.660725-3 8.012882-5 3.311311-3 8.287209-5 3.926800-3 8.496842-5 3.926800-3 1.194510-4 4.160800-3 1.197281-4 4.160800-3 1.255856-4 4.440300-3 1.259197-4 4.440300-3 1.316790-4 6.237348-3 1.341085-4 9.225714-3 1.369679-4 1.364583-2 1.398843-4 1.972423-2 1.426506-4 2.851018-2 1.453207-4 2.918400-2 1.454881-4 2.918400-2 1.495535-4 6.683439-2 1.503642-4 2.290868-1 1.509212-4 3.507519+0 1.511178-4 1.000000+5 1.511172-4 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.770000-6 0.0 3.349000-5 0.0 3.349000-5 6.33031-11 3.507519-5 6.17154-11 3.630781-5 6.09213-11 3.760000-5 6.05781-11 3.845918-5 6.06740-11 3.935501-5 6.08518-11 4.000000-5 6.11179-11 4.180000-5 6.21206-11 4.300000-5 6.30224-11 4.466836-5 6.43895-11 4.700000-5 6.64697-11 4.795100-5 6.74190-11 4.841724-5 6.77727-11 5.011872-5 6.93274-11 5.230000-5 7.10971-11 5.300000-5 7.15621-11 5.580000-5 7.31740-11 5.830000-5 7.42846-11 6.025596-5 7.49504-11 6.330000-5 7.58142-11 6.800000-5 7.67926-11 7.500000-5 7.76090-11 8.150000-5 7.79789-11 8.912509-5 7.79227-11 9.580000-5 7.74732-11 9.580000-5 1.31822-10 9.780000-5 1.39459-10 1.000000-4 1.47094-10 1.036400-4 1.59155-10 1.036400-4 2.14671-10 1.050000-4 2.24452-10 1.065000-4 2.34134-10 1.085000-4 2.45562-10 1.110000-4 2.58201-10 1.135011-4 2.69575-10 1.161449-4 2.80149-10 1.188502-4 2.89513-10 1.216186-4 2.96924-10 1.240000-4 3.01654-10 1.265000-4 3.04724-10 1.290000-4 3.05929-10 1.315000-4 3.05473-10 1.350000-4 3.02381-10 1.390000-4 2.96423-10 1.428100-4 2.89151-10 1.428100-4 3.36375-10 1.584893-4 3.07007-10 1.659587-4 2.94603-10 1.698244-4 2.88847-10 1.778279-4 2.78508-10 1.850000-4 2.70463-10 1.927525-4 2.63265-10 2.000000-4 2.57656-10 2.089296-4 2.52110-10 2.190000-4 2.47184-10 2.300000-4 2.43253-10 2.454709-4 2.39013-10 2.660725-4 2.35267-10 2.851018-4 2.33137-10 3.100000-4 2.31849-10 3.467369-4 2.31752-10 3.890451-4 2.32919-10 4.415704-4 2.35810-10 4.946200-4 2.39485-10 4.946200-4 2.44420-10 4.977000-4 2.47763-10 4.998000-4 2.51235-10 5.015700-4 2.55370-10 5.025000-4 2.58229-10 5.035700-4 2.62131-10 5.035700-4 7.474400-9 5.037500-4 7.779847-9 5.074000-4 1.095117-8 5.105000-4 1.327729-8 5.112000-4 1.382273-8 5.118000-4 1.431869-8 5.123000-4 1.457504-8 5.129000-4 1.491549-8 5.136400-4 1.540454-8 5.139000-4 1.559540-8 5.145000-4 1.609238-8 5.150000-4 1.655525-8 5.157000-4 1.728008-8 5.165000-4 1.818523-8 5.173400-4 1.924563-8 5.182000-4 2.043933-8 5.190000-4 2.166304-8 5.197000-4 2.283389-8 5.200000-4 2.324516-8 5.210000-4 2.473255-8 5.222000-4 2.671759-8 5.224000-4 2.596638-8 5.234000-4 2.759013-8 5.249000-4 3.028210-8 5.265000-4 3.348206-8 5.270000-4 3.455012-8 5.290000-4 3.815607-8 5.305000-4 4.109889-8 5.308844-4 4.159747-8 5.343000-4 4.511495-8 5.361000-4 4.711883-8 5.400000-4 4.889164-8 5.445000-4 5.113505-8 5.495409-4 5.235595-8 5.520000-4 5.300104-8 5.540000-4 5.317397-8 5.623413-4 5.259739-8 5.690000-4 5.224666-8 5.760000-4 5.216731-8 5.956621-4 5.266685-8 6.165950-4 5.243766-8 6.456542-4 5.222891-8 7.103200-4 5.206629-8 7.103200-4 7.713082-8 7.250000-4 7.826547-8 7.533600-4 8.016326-8 7.533600-4 8.829039-8 7.551500-4 9.101510-8 7.565000-4 9.258444-8 7.583000-4 9.405017-8 7.600000-4 9.491803-8 7.640000-4 9.577656-8 7.762471-4 9.721842-8 8.050000-4 9.950038-8 8.690500-4 1.033228-7 8.690500-4 1.155948-7 1.011579-3 1.250373-7 1.216186-3 1.371482-7 1.380384-3 1.456531-7 1.566751-3 1.544619-7 1.757924-3 1.624200-7 2.000000-3 1.713857-7 2.213095-3 1.783731-7 2.540973-3 1.878659-7 2.951209-3 1.979169-7 3.349654-3 2.062385-7 3.801894-3 2.142776-7 3.926800-3 2.163185-7 3.926800-3 1.679591-4 4.160800-3 1.682439-4 4.160800-3 2.019138-4 4.315191-3 2.028115-4 4.440300-3 2.028393-4 4.440300-3 2.115182-4 5.623413-3 2.128679-4 8.810489-3 2.144209-4 1.698244-2 2.156357-4 2.918400-2 2.162616-4 2.918400-2 1.882072-2 3.054921-2 1.888360-2 4.168694-2 1.911077-2 6.165950-2 1.928127-2 9.772372-2 1.939468-2 1.883649-1 1.946387-2 1.122018+0 1.953241-2 1.000000+5 1.953335-2 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.770000-6 0.0 6.280000-6 5.100000-7 6.280000-6 3.247908-7 8.912509-6 2.945704-6 1.339000-5 7.415562-6 1.339000-5 6.573429-6 1.479108-5 8.229902-6 1.621810-5 9.859578-6 1.800000-5 1.181690-5 2.000000-5 1.391468-5 2.200000-5 1.591084-5 2.330000-5 1.715614-5 2.600160-5 1.962557-5 2.920000-5 2.238684-5 3.239000-5 2.503739-5 3.239000-5 1.279746-5 3.349000-5 1.368576-5 3.349000-5 1.308963-5 3.810000-5 1.695654-5 4.000000-5 1.864554-5 4.315191-5 2.160697-5 4.920000-5 2.754659-5 8.035261-5 5.876442-5 9.580000-5 7.443573-5 9.580000-5 7.075376-5 1.036400-4 7.685807-5 1.036400-4 7.507307-5 1.100000-4 7.960829-5 1.185000-4 8.625711-5 1.255000-4 9.235946-5 1.330000-4 9.966774-5 1.428100-4 1.100785-4 1.428100-4 1.050259-4 1.740000-4 1.391365-4 2.041738-4 1.711221-4 2.600160-4 2.282519-4 4.315191-4 4.000795-4 4.946200-4 4.629758-4 4.946200-4 4.617481-4 5.015700-4 4.660587-4 5.035700-4 4.663962-4 5.035700-4 4.653387-4 5.123000-4 4.632809-4 5.182000-4 4.658870-4 5.343000-4 4.793813-4 6.050000-4 5.493695-4 7.103200-4 6.548360-4 7.103200-4 6.500048-4 7.533600-4 6.924762-4 7.533600-4 6.914225-4 8.050000-4 7.414934-4 8.690500-4 8.049367-4 8.690500-4 8.021468-4 2.540973-3 2.461229-3 3.926800-3 3.841615-3 3.926800-3 3.639390-3 4.160800-3 3.872828-3 4.160800-3 3.833301-3 4.440300-3 4.111541-3 4.440300-3 4.097103-3 2.918400-2 2.882225-2 2.918400-2 1.021373-2 3.019952-2 1.117090-2 4.168694-2 2.242621-2 7.161434-2 5.213502-2 1.000000+5 9.999998+4 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 2.918400-2 7.077442+3 2.937000-2 6.998518+3 3.000000-2 6.666600+3 3.070000-2 6.262860+3 3.162278-2 5.825226+3 3.427678-2 4.713936+3 3.758374-2 3.719418+3 4.265795-2 2.660526+3 5.495409-2 1.339688+3 6.839116-2 7.310819+2 8.609938-2 3.823156+2 1.109175-1 1.856193+2 2.018366-1 3.319479+1 2.483133-1 1.841646+1 2.917427-1 1.172806+1 3.349654-1 8.023356+0 3.801894-1 5.704669+0 4.265795-1 4.211558+0 4.786301-1 3.131432+0 5.308844-1 2.414815+0 5.888437-1 1.875174+0 6.531306-1 1.466800+0 7.161434-1 1.187789+0 7.943282-1 9.435730-1 8.912509-1 7.364329-1 9.772372-1 6.073164-1 1.135011+0 4.498917-1 1.230269+0 3.850839-1 1.412538+0 2.974017-1 1.566751+0 2.464411-1 1.757924+0 2.014944-1 1.949845+0 1.692249-1 2.238721+0 1.353066-1 2.570396+0 1.089803-1 2.951209+0 8.841133-2 3.388442+0 7.227040-2 3.935501+0 5.852863-2 4.623810+0 4.700219-2 5.495409+0 3.745254-2 6.606934+0 2.962814-2 8.035261+0 2.327857-2 1.011579+1 1.768822-2 1.244515+1 1.390908-2 1.513561+1 1.114529-2 1.972423+1 8.308308-3 2.754229+1 5.789268-3 3.935501+1 3.967161-3 6.025596+1 2.546570-3 1.011579+2 1.496116-3 1.905461+2 7.869357-4 3.801894+2 3.923138-4 1.513561+3 9.811642-5 1.000000+5 1.483300-6 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 2.918400-2 1.503400-4 1.000000+5 1.503400-4 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.918400-2 2.242000-2 1.000000+5 2.242000-2 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 2.918400-2 6.613660-3 1.000000+5 9.999998+4 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 4.440300-3 2.907197+4 4.623810-3 2.713184+4 4.786301-3 2.576262+4 5.188000-3 2.248688+4 5.500000-3 2.041820+4 5.888437-3 1.808737+4 6.606934-3 1.464151+4 7.161434-3 1.266822+4 7.762471-3 1.086075+4 9.332543-3 7.589786+3 1.059254-2 5.866631+3 1.202264-2 4.514759+3 1.412538-2 3.197536+3 1.584893-2 2.484140+3 1.850000-2 1.755712+3 2.162719-2 1.225153+3 2.511886-2 8.607357+2 2.900000-2 6.088900+2 3.349654-2 4.273078+2 3.890451-2 2.937772+2 4.570882-2 1.947491+2 5.432503-2 1.243440+2 6.456542-2 7.875931+1 7.762471-2 4.801189+1 9.440609-2 2.815408+1 1.174898-1 1.538636+1 2.213095-1 2.625347+0 2.722701-1 1.480600+0 3.198895-1 9.550416-1 3.672823-1 6.603425-1 4.168694-1 4.740177-1 4.677351-1 3.529819-1 5.188000-1 2.723885-1 5.821032-1 2.057847-1 6.456542-1 1.610052-1 7.161434-1 1.268480-1 7.943282-1 1.006511-1 8.709636-1 8.248664-2 9.549926-1 6.804781-2 1.096478+0 5.153792-2 1.202264+0 4.304054-2 1.396368+0 3.248665-2 1.548817+0 2.689453-2 1.737801+0 2.196898-2 1.927525+0 1.843756-2 2.187762+0 1.500777-2 2.511886+0 1.207265-2 2.884032+0 9.780151-3 3.311311+0 7.984060-3 3.845918+0 6.458534-3 4.518559+0 5.180961-3 5.370318+0 4.124125-3 6.456542+0 3.259352-3 7.852356+0 2.558486-3 9.772372+0 1.969058-3 1.188502+1 1.567226-3 1.479108+1 1.222202-3 1.949845+1 8.992254-4 2.691535+1 6.341991-4 3.801894+1 4.396639-4 5.821032+1 2.820574-4 9.885531+1 1.637015-4 1.840772+2 8.708810-5 3.672823+2 4.341012-5 1.462177+3 1.085527-5 1.000000+5 1.585300-7 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 4.440300-3 1.699500-4 1.000000+5 1.699500-4 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 4.440300-3 2.691900-4 1.000000+5 2.691900-4 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 4.440300-3 4.001160-3 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 4.160800-3 6.016474+4 4.280000-3 5.797354+4 4.295000-3 5.755300+4 4.355000-3 5.547200+4 4.472000-3 5.196600+4 4.954502-3 3.995100+4 5.308844-3 3.324500+4 6.025596-3 2.352300+4 7.000000-3 1.555400+4 8.222426-3 9.884200+3 9.800000-3 5.934900+3 1.083927-2 4.410200+3 1.303167-2 2.538200+3 1.566751-2 1.444600+3 1.840772-2 8.747900+2 2.137962-2 5.456500+2 2.511886-2 3.261300+2 3.000000-2 1.836800+2 3.672823-2 9.474700+1 4.623810-2 4.423500+1 6.165950-2 1.691400+1 1.122019-1 2.267200+0 1.412538-1 1.053400+0 1.698244-1 5.744600-1 2.000000-1 3.377700-1 2.317395-1 2.111100-1 2.660725-1 1.367794-1 3.019952-1 9.253193-2 3.388442-1 6.530178-2 3.801894-1 4.641185-2 4.216965-1 3.435988-2 4.677351-1 2.560869-2 5.188000-1 1.921896-2 5.754399-1 1.452647-2 6.382635-1 1.106280-2 6.998420-1 8.743772-3 7.673615-1 6.964011-3 8.511380-1 5.431852-3 9.440609-1 4.256798-3 1.000000+0 3.740540-3 1.071519+0 3.230099-3 1.148154+0 2.808722-3 1.216186+0 2.514687-3 1.364583+0 2.035571-3 1.678804+0 1.409539-3 1.883649+0 1.157148-3 2.089296+0 9.758685-4 2.398833+0 7.832288-4 2.754229+0 6.330625-4 3.126079+0 5.242387-4 3.630781+0 4.228296-4 4.216965+0 3.435740-4 5.000000+0 2.734800-4 5.956621+0 2.179756-4 7.244360+0 1.705633-4 8.810489+0 1.344931-4 1.122018+1 1.011405-4 1.445440+1 7.573859-5 1.949845+1 5.430836-5 2.691535+1 3.830285-5 3.801894+1 2.655333-5 5.821032+1 1.703466-5 9.885531+1 9.886557-6 1.862087+2 5.198890-6 3.715352+2 2.591628-6 1.479108+3 6.480953-7 1.000000+5 9.574500-9 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 4.160800-3 1.417800-4 1.000000+5 1.417800-4 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 4.160800-3 2.950000-4 1.000000+5 2.950000-4 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 4.160800-3 3.724020-3 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 3.926800-3 1.320429+5 4.070000-3 1.211916+5 4.650000-3 8.535360+4 5.011872-3 6.957612+4 5.956621-3 4.290587+4 6.683439-3 3.095800+4 7.673615-3 2.081598+4 8.511380-3 1.532231+4 9.885531-3 9.803342+3 1.202264-2 5.390779+3 1.412538-2 3.262093+3 1.621810-2 2.106900+3 1.883649-2 1.303651+3 2.213095-2 7.716226+2 2.630268-2 4.364230+2 3.126079-2 2.449908+2 3.758374-2 1.313347+2 4.623810-2 6.460893+1 5.821032-2 2.913357+1 1.273503-1 1.893564+0 1.548817-1 9.623497-1 1.840772-1 5.335820-1 2.113489-1 3.351103-1 2.398833-1 2.202938-1 2.691535-1 1.514541-1 3.019952-1 1.048884-1 3.349654-1 7.588907-2 3.715352-1 5.531529-2 4.073803-1 4.203820-2 4.466836-1 3.216181-2 4.897788-1 2.478201-2 5.370318-1 1.923534-2 5.821032-1 1.551157-2 6.382635-1 1.221803-2 6.998420-1 9.695305-3 7.673615-1 7.744121-3 8.413951-1 6.230909-3 9.225714-1 5.052309-3 1.000000+0 4.233314-3 1.096478+0 3.501029-3 1.188600+0 2.984909-3 1.318257+0 2.457066-3 1.479108+0 1.995322-3 1.698244+0 1.562860-3 1.905461+0 1.284167-3 2.137962+0 1.063785-3 2.454709+0 8.547194-4 2.818383+0 6.916418-4 3.198895+0 5.734254-4 3.715352+0 4.630534-4 4.315191+0 3.766591-4 5.128614+0 2.991952-4 6.095369+0 2.394523-4 7.413102+0 1.875375-4 9.015711+0 1.480121-4 1.135011+1 1.128985-4 1.445440+1 8.567374-5 1.949845+1 6.143176-5 2.691535+1 4.332633-5 3.801894+1 3.003632-5 5.821032+1 1.926846-5 9.885531+1 1.118358-5 1.862087+2 5.880842-6 3.715352+2 2.931526-6 1.479108+3 7.331115-7 1.000000+5 1.083000-8 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 3.926800-3 1.352100-4 1.000000+5 1.352100-4 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.926800-3 2.446200-4 1.000000+5 2.446200-4 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 3.926800-3 3.546970-3 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 8.690500-4 8.901819+4 9.885531-4 7.744161+4 1.047129-3 7.203056+4 1.230269-3 5.831318+4 1.300000-3 5.394740+4 1.513561-3 4.335262+4 1.650000-3 3.799600+4 1.972423-3 2.864294+4 2.187762-3 2.413604+4 2.570396-3 1.836016+4 3.019952-3 1.382858+4 3.427678-3 1.100655+4 4.027170-3 8.171473+3 4.800000-3 5.855760+3 5.688529-3 4.206304+3 6.760830-3 2.980205+3 8.035261-3 2.094183+3 9.440609-3 1.495050+3 1.109175-2 1.059351+3 1.303167-2 7.448953+2 1.531087-2 5.198149+2 1.800000-2 3.594400+2 2.113489-2 2.473978+2 2.454709-2 1.734566+2 2.884032-2 1.174728+2 3.388442-2 7.895132+1 4.000000-2 5.203760+1 4.731513-2 3.386155+1 5.623413-2 2.160152+1 6.683439-2 1.367771+1 8.035261-2 8.338149+0 9.660509-2 5.047771+0 1.258925-1 2.429080+0 2.398833-1 4.046235-1 2.884032-1 2.440972-1 3.388442-1 1.579473-1 3.890451-1 1.095548-1 4.415705-1 7.893745-2 4.954502-1 5.901506-2 5.559043-1 4.445505-2 6.165950-1 3.468835-2 6.839117-1 2.725805-2 7.585776-1 2.157141-2 8.511380-1 1.676726-2 9.332543-1 1.379986-2 1.023293+0 1.143873-2 1.161449+0 8.894152-3 1.303167+0 7.144081-3 1.479108+0 5.650184-3 1.640590+0 4.695012-3 1.840772+0 3.850459-3 2.044000+0 3.237472-3 2.344229+0 2.599747-3 2.691535+0 2.098731-3 3.090295+0 1.706733-3 3.589219+0 1.375769-3 4.168694+0 1.117274-3 4.897788+0 8.996266-4 5.821032+0 7.186174-4 7.000000+0 5.696700-4 8.413951+0 4.549832-4 1.071519+1 3.415988-4 1.400000+1 2.513100-4 1.927525+1 1.760538-4 2.660725+1 1.241335-4 3.758374+1 8.603579-5 5.754399+1 5.518256-5 9.772372+1 3.202250-5 1.862087+2 1.664285-5 3.715352+2 8.296075-6 1.479108+3 2.074653-6 1.000000+5 3.064900-8 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 8.690500-4 1.310500-4 1.000000+5 1.310500-4 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 8.690500-4 3.995200-7 1.000000+5 3.995200-7 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 8.690500-4 7.376005-4 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 7.533600-4 6.813660+4 7.535000-4 6.962620+4 7.538000-4 7.381780+4 7.541000-4 7.782060+4 7.544000-4 8.164780+4 7.547000-4 8.530020+4 7.551500-4 9.037140+4 7.555000-4 9.403900+4 7.560000-4 9.876840+4 7.565000-4 1.030078+5 7.570000-4 1.067608+5 7.576000-4 1.106346+5 7.583000-4 1.143948+5 7.589000-4 1.170646+5 7.597000-4 1.199446+5 7.600000-4 1.206171+5 7.620000-4 1.232532+5 7.640000-4 1.248975+5 7.685000-4 1.267988+5 7.762471-4 1.291215+5 7.820000-4 1.300951+5 7.943282-4 1.308007+5 8.050000-4 1.304905+5 8.128305-4 1.296756+5 8.493900-4 1.248769+5 8.810489-4 1.213700+5 9.772372-4 1.094458+5 1.047129-3 1.013784+5 1.122018-3 9.326332+4 1.202264-3 8.528313+4 1.330000-3 7.411340+4 1.428894-3 6.650588+4 1.610000-3 5.500680+4 1.737801-3 4.840242+4 1.905461-3 4.113427+4 2.113489-3 3.403544+4 2.317395-3 2.854205+4 2.600160-3 2.272641+4 2.851018-3 1.881693+4 3.235937-3 1.438616+4 3.589219-3 1.146152+4 4.027170-3 8.840678+3 4.518559-3 6.763476+3 5.011872-3 5.283369+3 5.688529-3 3.875910+3 6.456542-3 2.819725+3 7.244360-3 2.096941+3 8.128305-3 1.549663+3 9.225714-3 1.102968+3 1.047129-2 7.792749+2 1.202264-2 5.291301+2 1.364583-2 3.684598+2 1.566751-2 2.464587+2 1.800000-2 1.633760+2 2.089296-2 1.042400+2 2.426610-2 6.589216+1 2.851018-2 3.988782+1 3.388442-2 2.310679+1 4.073803-2 1.280240+1 5.011872-2 6.532387+0 6.382635-2 2.954332+0 1.273503-1 3.006398-1 1.603245-1 1.413438-1 2.018366-1 6.714964-2 2.264644-1 4.595499-2 2.426610-1 3.680550-2 2.570396-1 3.074996-2 2.722701-1 2.585093-2 2.884032-1 2.189747-2 2.951209-1 2.054056-2 3.349654-1 1.401198-2 3.758374-1 9.967147-3 4.216965-1 7.143079-3 4.677351-1 5.329194-3 5.188000-1 4.003779-3 5.754399-1 3.030150-3 6.382635-1 2.310175-3 7.079458-1 1.774778-3 7.762471-1 1.413578-3 8.609938-1 1.099493-3 9.225714-1 9.358030-4 9.772372-1 8.231206-4 1.047129+0 7.113386-4 1.135011+0 6.038803-4 1.216186+0 5.280269-4 1.348963+0 4.355387-4 1.584893+0 3.264395-4 1.798871+0 2.618423-4 2.000000+0 2.192583-4 2.290868+0 1.762045-4 2.630268+0 1.420631-4 3.019952+0 1.153652-4 3.507519+0 9.287847-5 4.073803+0 7.534320-5 4.786301+0 6.060353-5 5.688529+0 4.836205-5 6.839116+0 3.831283-5 8.317638+0 3.014339-5 1.059254+1 2.262289-5 1.364583+1 1.690472-5 1.883649+1 1.179833-5 2.570396+1 8.417744-6 3.589219+1 5.900681-6 5.495409+1 3.781636-6 9.332543+1 2.193098-6 1.778279+2 1.139204-6 3.548134+2 5.677636-7 1.412538+3 1.419664-7 1.000000+5 2.002600-9 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 7.533600-4 1.015800-4 1.000000+5 1.015800-4 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 7.533600-4 3.971300-7 1.000000+5 3.971300-7 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 7.533600-4 6.513829-4 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 7.103200-4 3.124268+5 7.250000-4 3.152155+5 7.498942-4 3.158284+5 7.630000-4 3.151860+5 7.700000-4 3.134404+5 8.430000-4 2.862816+5 9.332543-4 2.541348+5 1.011579-3 2.293774+5 1.096478-3 2.055137+5 1.216186-3 1.766574+5 1.300000-3 1.592972+5 1.462177-3 1.312108+5 1.584893-3 1.142941+5 1.717908-3 9.885124+4 1.927525-3 7.968589+4 2.113489-3 6.662791+4 2.371374-3 5.280412+4 2.600160-3 4.358600+4 2.917427-3 3.402587+4 3.235937-3 2.704390+4 3.650000-3 2.054640+4 4.073803-3 1.586917+4 4.570882-3 1.202179+4 5.188000-3 8.783672+3 5.888437-3 6.363321+3 6.606934-3 4.713810+3 7.413102-3 3.469467+3 8.413951-3 2.458078+3 9.549926-3 1.728163+3 1.083927-2 1.205939+3 1.244515-2 8.077371+2 1.412538-2 5.553675+2 1.603245-2 3.793737+2 1.840772-2 2.485336+2 2.113489-2 1.616440+2 2.454709-2 1.006273+2 2.851018-2 6.219181+1 3.311311-2 3.816580+1 3.890451-2 2.239536+1 4.623810-2 1.255652+1 5.623413-2 6.467779+0 7.079458-2 2.939182+0 1.096478-1 6.488245-1 1.428894-1 2.606424-1 1.717908-1 1.391137-1 2.000000-1 8.338040-2 2.398833-1 4.574839-2 2.691535-1 3.149895-2 3.019952-1 2.184389-2 3.349654-1 1.582568-2 3.715352-1 1.154766-2 4.120975-1 8.491486-3 4.518559-1 6.506297-3 4.954502-1 5.020040-3 5.432503-1 3.902483-3 5.956621-1 3.056533-3 6.531306-1 2.412916-3 7.161434-1 1.919327-3 7.852356-1 1.538029-3 8.609938-1 1.238354-3 9.225714-1 1.058785-3 9.885531-1 9.114330-4 1.083927+0 7.538553-4 1.174898+0 6.424059-4 1.288250+0 5.393793-4 1.445440+0 4.369841-4 1.678804+0 3.350410-4 1.883649+0 2.751069-4 2.113489+0 2.277314-4 2.426610+0 1.828655-4 2.786121+0 1.478873-4 3.162278+0 1.225363-4 3.672823+0 9.889114-5 4.265795+0 8.039725-5 5.011872+0 6.480328-5 6.000000+0 5.133800-5 7.244360+0 4.054272-5 8.810489+0 3.196975-5 1.122018+1 2.404241-5 1.445440+1 1.800355-5 1.949845+1 1.290889-5 2.722701+1 8.992782-6 3.890451+1 6.160978-6 5.956621+1 3.953922-6 1.000000+2 2.322600-6 1.883649+2 1.221494-6 3.758374+2 6.089422-7 1.496236+3 1.522829-7 1.000000+5 2.275900-9 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 7.103200-4 9.975200-5 1.000000+5 9.975200-5 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 7.103200-4 2.832000-7 1.000000+5 2.832000-7 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 7.103200-4 6.102848-4 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 5.035700-4 4.145664+4 5.037500-4 4.362085+4 5.074000-4 7.839370+4 5.118000-4 1.523687+5 5.159000-4 2.502068+5 5.197000-4 3.893457+5 5.222000-4 4.970915+5 5.224000-4 4.815914+5 5.270000-4 7.303303+5 5.305000-4 9.470096+5 5.308844-4 9.653746+5 5.361000-4 1.179821+6 5.445000-4 1.356292+6 5.520000-4 1.442042+6 5.540000-4 1.450644+6 5.690000-4 1.395441+6 5.760000-4 1.374628+6 5.956621-4 1.291863+6 6.200000-4 1.173964+6 6.382635-4 1.103797+6 6.760830-4 9.823312+5 7.585776-4 7.709846+5 8.222426-4 6.454613+5 8.810489-4 5.505768+5 9.500000-4 4.597160+5 1.047129-3 3.608290+5 1.122018-3 3.019553+5 1.244515-3 2.288390+5 1.364583-3 1.778522+5 1.513561-3 1.327604+5 1.698244-3 9.527088+4 1.883649-3 7.013094+4 2.113489-3 4.956604+4 2.371374-3 3.474136+4 2.650000-3 2.448952+4 3.000000-3 1.643152+4 3.349654-3 1.144509+4 3.801894-3 7.496187+3 4.315191-3 4.870037+3 4.897788-3 3.139706+3 5.500000-3 2.086572+3 6.165950-3 1.386437+3 7.000000-3 8.744320+2 8.000000-3 5.339720+2 9.120108-3 3.265599+2 1.035142-2 2.016100+2 1.174898-2 1.236788+2 1.350000-2 7.187280+1 1.548817-2 4.172787+1 1.819701-2 2.187968+1 2.113489-2 1.193415+1 2.511886-2 5.882794+0 3.054921-2 2.617302+0 3.845918-2 1.000651+0 7.413102-2 6.358294-2 9.332543-2 2.431842-2 1.135011-1 1.082057-2 1.333521-1 5.594112-3 1.548817-1 3.054307-3 1.757924-1 1.842452-3 2.000000-1 1.109106-3 2.238721-1 7.168554-4 2.517970-1 4.582217-4 2.818383-1 3.006370-4 3.162278-1 1.970439-4 3.507519-1 1.357370-4 3.845918-1 9.811769-5 4.216965-1 7.143124-5 4.623810-1 5.237674-5 5.069907-1 3.867462-5 5.623413-1 2.772862-5 6.531306-1 1.732361-5 7.079458-1 1.354364-5 7.498942-1 1.142252-5 8.128305-1 9.077313-6 8.709636-1 7.497181-6 9.225714-1 6.439862-6 9.660509-1 5.739843-6 1.000000+0 5.289619-6 1.059254+0 4.654839-6 1.122018+0 4.125671-6 1.188600+0 3.682312-6 1.288250+0 3.175059-6 1.428894+0 2.644320-6 1.778279+0 1.804876-6 1.972423+0 1.515315-6 2.264644+0 1.212403-6 2.600160+0 9.769921-7 3.000000+0 7.872100-7 3.467369+0 6.379877-7 4.027170+0 5.172597-7 4.731513+0 4.158442-7 5.623413+0 3.316806-7 6.760830+0 2.626406-7 8.222427+0 2.065421-7 1.047129+1 1.549500-7 1.333521+1 1.172615-7 1.840772+1 8.177060-8 2.511886+1 5.830885-8 3.507519+1 4.085295-8 5.370318+1 2.617093-8 9.225714+1 1.499537-8 1.757924+2 7.788131-9 3.507519+2 3.881306-9 1.396368+3 9.70451-10 1.000000+5 1.35330-11 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 5.035700-4 5.904200-5 1.000000+5 5.904200-5 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 5.035700-4 1.504300-7 1.000000+5 1.504300-7 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 5.035700-4 4.443776-4 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 4.946200-4 3.111800+4 4.964000-4 4.172316+4 4.977000-4 5.199078+4 4.988000-4 6.300928+4 4.998000-4 7.550872+4 5.007000-4 8.940583+4 5.015700-4 1.059300+5 5.025000-4 1.285762+5 5.037000-4 1.664207+5 5.065000-4 3.072664+5 5.075000-4 3.801495+5 5.082000-4 4.389470+5 5.090000-4 5.141846+5 5.098000-4 5.977377+5 5.105000-4 6.770568+5 5.112000-4 7.610164+5 5.118000-4 8.354484+5 5.123000-4 8.980451+5 5.129000-4 9.730497+5 5.135000-4 1.046607+6 5.139000-4 1.093339+6 5.145000-4 1.159690+6 5.150000-4 1.211857+6 5.157000-4 1.279863+6 5.165000-4 1.350426+6 5.173400-4 1.417100+6 5.182000-4 1.480776+6 5.190000-4 1.534616+6 5.200000-4 1.595179+6 5.210000-4 1.649236+6 5.220000-4 1.696582+6 5.234000-4 1.752722+6 5.249000-4 1.802520+6 5.265000-4 1.844672+6 5.290000-4 1.901615+6 5.315000-4 1.946876+6 5.343000-4 1.985059+6 5.380000-4 2.023668+6 5.415000-4 2.048455+6 5.480000-4 2.081430+6 5.540000-4 2.098231+6 5.600000-4 2.101353+6 5.690000-4 2.091054+6 5.754400-4 2.073296+6 6.050000-4 1.832316+6 6.200000-4 1.734216+6 6.760830-4 1.450824+6 7.500000-4 1.163496+6 8.128305-4 9.729383+5 8.317638-4 9.215487+5 8.511380-4 8.749649+5 9.120108-4 7.423931+5 9.850000-4 6.138660+5 1.071519-3 4.955468+5 1.150000-3 4.113432+5 1.288250-3 3.019958+5 1.412538-3 2.336205+5 1.584893-3 1.678694+5 1.737801-3 1.282063+5 1.950000-3 9.080460+4 2.162719-3 6.616973+4 2.426610-3 4.620048+4 2.691535-3 3.321134+4 3.019952-3 2.285885+4 3.427678-3 1.502540+4 3.845918-3 1.018443+4 4.315191-3 6.859149+3 4.897788-3 4.407182+3 5.623413-3 2.696113+3 6.456542-3 1.634380+3 7.328245-3 1.024738+3 8.317638-3 6.376487+2 9.440609-3 3.938531+2 1.071519-2 2.415955+2 1.216186-2 1.472158+2 1.396368-2 8.517403+1 1.640590-2 4.460157+1 1.905461-2 2.425930+1 2.238721-2 1.248953+1 2.660725-2 6.082812+0 3.198895-2 2.801329+0 4.027170-2 1.053375+0 7.762471-2 6.373602-2 9.549926-2 2.644004-2 1.148154-1 1.218128-2 1.333521-1 6.534023-3 1.500000-1 4.028508-3 1.737801-1 2.227813-3 1.949845-1 1.409727-3 2.187762-1 8.986726-4 2.426610-1 6.037935-4 2.660725-1 4.269195-4 2.917427-1 3.040363-4 3.162278-1 2.273350-4 3.467369-1 1.642845-4 3.801894-1 1.196546-4 4.216965-1 8.449132-5 4.570882-1 6.490532-5 4.954502-1 5.022579-5 5.308844-1 4.058227-5 5.688529-1 3.299231-5 6.025596-1 2.790270-5 6.456542-1 2.301986-5 6.998420-1 1.852822-5 8.035261-1 1.292593-5 8.709636-1 1.041609-5 9.225714-1 8.983595-6 9.660509-1 8.023795-6 1.011579+0 7.209736-6 1.071519+0 6.355365-6 1.135011+0 5.641787-6 1.202264+0 5.044303-6 1.318257+0 4.263992-6 1.778279+0 2.525464-6 1.972423+0 2.120465-6 2.264644+0 1.696801-6 2.600160+0 1.367434-6 3.000000+0 1.101800-6 3.467369+0 8.929386-7 4.027170+0 7.239615-7 4.731513+0 5.820234-7 5.623413+0 4.642297-7 6.760830+0 3.675918-7 8.222427+0 2.890773-7 1.047129+1 2.168781-7 1.333521+1 1.641263-7 1.819701+1 1.159088-7 2.483133+1 8.262774-8 3.467369+1 5.787775-8 5.308844+1 3.706888-8 9.120108+1 2.123580-8 1.737801+2 1.102760-8 3.467369+2 5.495585-9 1.380384+3 1.374013-9 1.000000+5 1.89410-11 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 4.946200-4 5.958500-5 1.000000+5 5.958500-5 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.946200-4 3.51800-10 1.000000+5 3.51800-10 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.946200-4 4.350346-4 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.428100-4 1.675526+5 1.737801-4 1.657421+5 1.800000-4 1.641702+5 1.883649-4 1.608468+5 2.089296-4 1.515175+5 2.300000-4 1.426518+5 2.454709-4 1.360454+5 2.600160-4 1.296176+5 2.818383-4 1.201585+5 3.162278-4 1.069271+5 3.467369-4 9.672952+4 3.801894-4 8.678070+4 4.315191-4 7.405626+4 4.786301-4 6.464011+4 5.370318-4 5.512761+4 6.165950-4 4.520006+4 7.000000-4 3.736300+4 8.035261-4 3.018391+4 9.440609-4 2.331514+4 1.109175-3 1.786922+4 1.318257-3 1.333542+4 1.584893-3 9.686342+3 1.927525-3 6.845340+3 2.371374-3 4.704870+3 2.917427-3 3.208635+3 3.507519-3 2.267192+3 4.216965-3 1.590260+3 5.069907-3 1.106706+3 6.095369-3 7.640253+2 7.328245-3 5.233347+2 8.709636-3 3.643852+2 1.035142-2 2.519189+2 1.230269-2 1.728167+2 1.445440-2 1.206893+2 1.698244-2 8.367675+1 2.000000-2 5.727680+1 2.344229-2 3.935612+1 2.754229-2 2.669652+1 3.235937-2 1.797665+1 3.801894-2 1.201767+1 4.518559-2 7.745890+0 5.308844-2 5.103690+0 6.382635-2 3.142199+0 7.762471-2 1.861644+0 9.332543-2 1.127864+0 1.202264-1 5.611718-1 2.398833-1 8.233947-2 2.884032-1 4.968431-2 3.388442-1 3.216360-2 3.890451-1 2.231769-2 4.415705-1 1.608255-2 4.954502-1 1.202385-2 5.559043-1 9.057741-3 6.165950-1 7.067952-3 6.839117-1 5.553976-3 7.585776-1 4.395241-3 8.511380-1 3.416142-3 9.332543-1 2.811507-3 1.023293+0 2.330783-3 1.161449+0 1.812255-3 1.303167+0 1.455619-3 1.479108+0 1.151208-3 1.640590+0 9.565516-4 1.840772+0 7.844741-4 2.044000+0 6.596400-4 2.371374+0 5.202328-4 2.722701+0 4.202071-4 3.090295+0 3.477409-4 3.589219+0 2.803075-4 4.168694+0 2.276415-4 4.897788+0 1.832981-4 5.821032+0 1.464119-4 7.000000+0 1.160700-4 8.511380+0 9.142760-5 1.083927+1 6.867036-5 1.412538+1 5.069179-5 1.927525+1 3.587136-5 2.660725+1 2.529259-5 3.758374+1 1.752994-5 5.754399+1 1.124325-5 9.772372+1 6.524494-6 1.840772+2 3.430535-6 3.672823+2 1.709956-6 1.462177+3 4.276146-7 1.000000+5 6.244800-9 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.428100-4 6.304500-5 1.000000+5 6.304500-5 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.428100-4 5.72480-10 1.000000+5 5.72480-10 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.428100-4 7.976443-5 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.036400-4 2.595880+5 1.043000-4 2.638820+5 1.050000-4 2.667460+5 1.057000-4 2.681660+5 1.065000-4 2.680740+5 1.074000-4 2.663600+5 1.085000-4 2.624140+5 1.100000-4 2.551320+5 1.120000-4 2.437800+5 1.216186-4 1.931274+5 1.258925-4 1.761783+5 1.303167-4 1.617061+5 1.340000-4 1.517252+5 1.380384-4 1.426759+5 1.415000-4 1.363076+5 1.450000-4 1.310032+5 1.490000-4 1.261364+5 1.531087-4 1.222373+5 1.580000-4 1.187410+5 1.635000-4 1.159146+5 1.698244-4 1.136568+5 1.778279-4 1.117421+5 1.927525-4 1.095319+5 2.290868-4 1.056925+5 2.483133-4 1.032861+5 2.691535-4 1.001738+5 2.917427-4 9.646174+4 3.126079-4 9.283495+4 3.350000-4 8.878540+4 3.630781-4 8.365171+4 3.935501-4 7.826538+4 4.265795-4 7.276432+4 4.623810-4 6.720550+4 5.011872-4 6.166921+4 5.559043-4 5.477043+4 6.095369-4 4.894578+4 6.700000-4 4.328020+4 7.413102-4 3.769402+4 8.222426-4 3.247307+4 9.120108-4 2.777887+4 1.011579-3 2.361004+4 1.148154-3 1.918807+4 1.288250-3 1.576687+4 1.450000-3 1.279530+4 1.640590-3 1.021065+4 1.840772-3 8.218600+3 2.070000-3 6.544640+3 2.344229-3 5.104295+3 2.660725-3 3.932683+3 3.019952-3 3.005660+3 3.427678-3 2.278048+3 3.845918-3 1.758479+3 4.315191-3 1.348154+3 4.841724-3 1.026580+3 5.495409-3 7.548306+2 6.237348-3 5.507263+2 7.079458-3 3.988395+2 8.035261-3 2.867620+2 9.120108-3 2.047280+2 1.035142-2 1.451034+2 1.174898-2 1.021328+2 1.348963-2 6.909859+1 1.548817-2 4.638990+1 1.778279-2 3.091233+1 2.065380-2 1.975690+1 2.398833-2 1.252946+1 2.818383-2 7.611869+0 3.311311-2 4.589458+0 3.935501-2 2.649173+0 4.786301-2 1.410030+0 5.888437-2 7.172175-1 8.128305-2 2.481023-1 1.288250-1 5.425118-2 1.584893-1 2.754456-2 1.883649-1 1.576181-2 2.213095-1 9.427723-3 2.540973-1 6.110370-3 2.884032-1 4.133407-3 3.273407-1 2.816453-3 3.672823-1 2.001097-3 4.120975-1 1.432107-3 4.570882-1 1.066878-3 5.069907-1 8.002743-4 5.623413-1 6.047427-4 6.237348-1 4.604117-4 6.918310-1 3.532313-4 7.673615-1 2.731565-4 8.609938-1 2.066206-4 9.225714-1 1.758174-4 9.772372-1 1.545536-4 1.047129+0 1.334146-4 1.135011+0 1.132256-4 1.216186+0 9.904146-5 1.348963+0 8.174418-5 1.603245+0 6.005010-5 1.798871+0 4.915912-5 2.000000+0 4.116800-5 2.317395+0 3.249323-5 2.660725+0 2.621482-5 3.054921+0 2.130354-5 3.548134+0 1.716247-5 4.120975+0 1.393025-5 4.841724+0 1.121042-5 5.754399+0 8.950537-6 6.918310+0 7.094107-6 8.413951+0 5.583944-6 1.071519+1 4.192395-6 1.400000+1 3.084300-6 1.927525+1 2.160776-6 2.630268+1 1.542486-6 3.715352+1 1.068790-6 5.688529+1 6.853675-7 9.660509+1 3.976510-7 1.840772+2 2.066396-7 3.672823+2 1.030019-7 1.462177+3 2.575783-8 1.000000+5 3.76160-10 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.036400-4 4.307300-5 1.000000+5 4.307300-5 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.036400-4 6.65850-10 1.000000+5 6.65850-10 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.036400-4 6.056633-5 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 9.580000-5 5.908600+5 9.670000-5 5.939000+5 9.780000-5 5.926920+5 9.900000-5 5.863640+5 1.000000-4 5.783720+5 1.020000-4 5.584280+5 1.047129-4 5.288567+5 1.109175-4 4.678326+5 1.161449-4 4.272899+5 1.205000-4 3.998892+5 1.244515-4 3.793887+5 1.288250-4 3.609985+5 1.333521-4 3.460941+5 1.380384-4 3.343517+5 1.430000-4 3.251428+5 1.480000-4 3.183516+5 1.548817-4 3.117277+5 1.659587-4 3.045552+5 1.972423-4 2.894745+5 2.162719-4 2.799211+5 2.350000-4 2.695316+5 2.540973-4 2.581631+5 2.754229-4 2.451875+5 3.000000-4 2.304924+5 3.235937-4 2.167590+5 3.507519-4 2.015821+5 3.850000-4 1.838880+5 4.216965-4 1.669691+5 4.623810-4 1.502845+5 5.069907-4 1.343022+5 5.623413-4 1.174811+5 6.200000-4 1.028524+5 6.918310-4 8.785528+4 7.673615-4 7.520126+4 8.609938-4 6.275189+4 9.700000-4 5.161880+4 1.083927-3 4.271488+4 1.202264-3 3.559777+4 1.364583-3 2.827206+4 1.548817-3 2.227722+4 1.757924-3 1.742232+4 1.972423-3 1.384260+4 2.213095-3 1.093080+4 2.483133-3 8.577690+3 2.786121-3 6.688902+3 3.126079-3 5.180687+3 3.548134-3 3.881621+3 4.000000-3 2.931900+3 4.518559-3 2.186780+3 5.128614-3 1.599861+3 5.821032-3 1.161315+3 6.606934-3 8.364552+2 7.498942-3 5.979419+2 8.511380-3 4.242755+2 9.660509-3 2.988580+2 1.096478-2 2.090064+2 1.244515-2 1.451366+2 1.412538-2 1.000906+2 1.603245-2 6.855684+1 1.840772-2 4.503321+1 2.113489-2 2.936540+1 2.454709-2 1.833440+1 2.851018-2 1.135961+1 3.311311-2 6.987127+0 3.890451-2 4.109467+0 4.570882-2 2.399660+0 5.495409-2 1.287813+0 6.998420-2 5.639785-1 1.380384-1 5.440028-2 1.659587-1 2.903289-2 1.949845-1 1.687827-2 2.238721-1 1.066975-2 2.540973-1 7.056487-3 2.851018-1 4.879173-3 3.162278-1 3.523016-3 3.507519-1 2.561012-3 3.890451-1 1.875440-3 4.265795-1 1.431359-3 4.677351-1 1.099815-3 5.128614-1 8.511755-4 5.623413-1 6.637562-4 6.165950-1 5.214353-4 6.760830-1 4.126650-4 7.413102-1 3.290387-4 8.317638-1 2.502765-4 9.015711-1 2.080170-4 9.660509-1 1.787431-4 1.035142+0 1.547008-4 1.135011+0 1.285111-4 1.250000+0 1.066200-4 1.380384+0 8.868305-5 1.621810+0 6.647481-5 1.819701+0 5.446281-5 2.018366+0 4.582973-5 2.317395+0 3.671484-5 2.660725+0 2.962119-5 3.054921+0 2.407242-5 3.548134+0 1.939279-5 4.120975+0 1.574068-5 4.841724+0 1.266801-5 5.754399+0 1.011394-5 6.918310+0 8.016136-6 8.413951+0 6.309757-6 1.071519+1 4.737322-6 1.400000+1 3.485200-6 1.927525+1 2.441601-6 2.630268+1 1.742980-6 3.672823+1 1.222374-6 5.623413+1 7.837206-7 9.549926+1 4.546520-7 1.819701+2 2.362265-7 3.630781+2 1.177416-7 1.445440+3 2.944327-8 1.000000+5 4.25050-10 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 9.580000-5 4.321400-5 1.000000+5 4.321400-5 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 9.580000-5 4.00000-10 1.000000+5 4.00000-10 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 9.580000-5 5.258560-5 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 3.349000-5 1.500104+6 3.388442-5 1.508907+6 3.430000-5 1.529096+6 3.470000-5 1.560312+6 3.507519-5 1.599814+6 3.550000-5 1.657656+6 3.589219-5 1.723283+6 3.630781-5 1.807259+6 3.672823-5 1.907892+6 3.720000-5 2.040056+6 3.760000-5 2.169040+6 3.810000-5 2.353208+6 3.870000-5 2.609960+6 3.935501-5 2.937722+6 4.000000-5 3.311868+6 4.120975-5 4.159316+6 4.315191-5 5.933104+6 4.420000-5 7.091240+6 4.500000-5 8.053680+6 4.570882-5 8.950066+6 4.650000-5 9.980920+6 4.720000-5 1.090204+7 4.795100-5 1.188012+7 4.870000-5 1.282344+7 4.920000-5 1.342504+7 4.970000-5 1.399728+7 5.040000-5 1.473928+7 5.110000-5 1.540172+7 5.170000-5 1.589948+7 5.230000-5 1.632852+7 5.308844-5 1.678487+7 5.370318-5 1.705537+7 5.450000-5 1.729764+7 5.500000-5 1.738900+7 5.580000-5 1.744488+7 5.650000-5 1.740824+7 5.730000-5 1.727820+7 5.830000-5 1.699904+7 5.900000-5 1.673616+7 6.000000-5 1.628040+7 6.110000-5 1.568916+7 6.220000-5 1.502504+7 6.330000-5 1.430780+7 6.456542-5 1.343949+7 6.580000-5 1.256808+7 6.690000-5 1.178716+7 6.800000-5 1.101280+7 6.950000-5 9.984000+6 7.079458-5 9.131813+6 7.230000-5 8.194760+6 7.400000-5 7.216960+6 7.585776-5 6.253101+6 7.762471-5 5.438422+6 7.950000-5 4.678040+6 8.150000-5 3.976196+6 8.400000-5 3.239552+6 8.650000-5 2.637020+6 8.912509-5 2.124325+6 9.225714-5 1.642371+6 9.549926-5 1.259801+6 9.900000-5 9.475200+5 1.023293-4 7.238699+5 1.060000-4 5.395920+5 1.122018-4 3.338347+5 1.150000-4 2.722528+5 1.170000-4 2.371716+5 1.190000-4 2.083568+5 1.205000-4 1.903208+5 1.220000-4 1.749828+5 1.235000-4 1.620504+5 1.250000-4 1.512616+5 1.265000-4 1.423816+5 1.275000-4 1.374168+5 1.290000-4 1.312604+5 1.303167-4 1.270104+5 1.315000-4 1.240180+5 1.330000-4 1.212340+5 1.345000-4 1.194572+5 1.358000-4 1.186400+5 1.373000-4 1.184344+5 1.390000-4 1.190412+5 1.407000-4 1.204200+5 1.428894-4 1.231553+5 1.450000-4 1.266396+5 1.480000-4 1.327172+5 1.520000-4 1.423056+5 1.635000-4 1.741940+5 1.690000-4 1.897368+5 1.740000-4 2.033344+5 1.798871-4 2.183441+5 1.850000-4 2.303064+5 1.905461-4 2.420277+5 1.950000-4 2.504580+5 2.000000-4 2.588840+5 2.065380-4 2.683106+5 2.137962-4 2.768110+5 2.220000-4 2.841620+5 2.300000-4 2.892776+5 2.398833-4 2.932067+5 2.500000-4 2.949776+5 2.620000-4 2.946680+5 2.730000-4 2.924572+5 2.851018-4 2.883243+5 3.000000-4 2.814324+5 3.162278-4 2.723084+5 3.350000-4 2.604844+5 3.550000-4 2.473196+5 3.758374-4 2.333672+5 4.000000-4 2.174596+5 4.216965-4 2.035994+5 4.518559-4 1.853853+5 4.841724-4 1.675331+5 5.188000-4 1.503909+5 5.559043-4 1.340458+5 6.000000-4 1.171768+5 6.531306-4 1.000605+5 7.079458-4 8.547112+4 7.585776-4 7.424127+4 8.222426-4 6.261129+4 9.015711-4 5.114660+4 1.000000-3 4.035320+4 1.109175-3 3.154096+4 1.230269-3 2.446000+4 1.364583-3 1.882204+4 1.513561-3 1.437300+4 1.678804-3 1.089250+4 1.862087-3 8.194787+3 2.065380-3 6.120700+3 2.290868-3 4.539377+3 2.540973-3 3.342880+3 2.818383-3 2.444587+3 3.126079-3 1.775172+3 3.467369-3 1.280160+3 3.845918-3 9.171109+2 4.315191-3 6.283698+2 4.841724-3 4.272325+2 5.432503-3 2.883507+2 6.095369-3 1.932539+2 6.839116-3 1.286635+2 7.762471-3 8.161730+1 8.810489-3 5.136894+1 1.000000-2 3.208471+1 1.135011-2 1.988629+1 1.288250-2 1.223824+1 1.479108-2 7.151904+0 1.698244-2 4.148493+0 1.972423-2 2.282498+0 2.317395-2 1.190353+0 2.754229-2 5.881080-1 3.273407-2 2.885649-1 4.168694-2 1.055604-1 7.762471-2 7.837202-3 9.772372-2 3.011493-3 1.174898-1 1.410532-3 1.380384-1 7.316762-4 1.584893-1 4.196970-4 1.819701-1 2.425316-4 2.065380-1 1.478174-4 2.317395-1 9.491180-5 2.600160-1 6.138641-5 2.884032-1 4.174942-5 3.198895-1 2.858915-5 3.548134-1 1.971748-5 3.935501-1 1.369975-5 4.365158-1 9.585721-6 4.786301-1 7.030897-6 5.128614-1 5.604133-6 5.623413-1 4.174591-6 6.309573-1 2.916046-6 6.918310-1 2.203119-6 7.585776-1 1.676867-6 8.609938-1 1.159857-6 9.120108-1 9.877217-7 9.549926-1 8.741750-7 1.000000+0 7.790300-7 1.047129+0 6.996758-7 1.096478+0 6.330106-7 1.148154+0 5.763450-7 1.216186+0 5.164655-7 1.318257+0 4.469123-7 1.479108+0 3.667474-7 1.819701+0 2.556007-7 2.000000+0 2.181300-7 2.317395+0 1.721619-7 2.660725+0 1.388997-7 3.054921+0 1.128796-7 3.548134+0 9.093355-8 4.120975+0 7.380694-8 4.841724+0 5.939903-8 5.754399+0 4.742439-8 6.918310+0 3.758765-8 8.413951+0 2.958644-8 1.071519+1 2.221366-8 1.396368+1 1.639008-8 1.927525+1 1.144838-8 2.660725+1 8.072268-9 3.758374+1 5.594621-9 5.754399+1 3.588368-9 9.772372+1 2.082347-9 1.862087+2 1.082189-9 3.715352+2 5.39467-10 1.479108+3 1.34913-10 1.000000+5 1.99310-12 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 3.349000-5 2.153500-5 1.000000+5 2.153500-5 1 50000 7 7 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 3.349000-5 1.83810-10 1.000000+5 1.83810-10 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 3.349000-5 1.195482-5 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 3.239000-5 2.384394+6 3.273407-5 2.390377+6 3.311311-5 2.411757+6 3.349654-5 2.450362+6 3.390000-5 2.508996+6 3.430000-5 2.587146+6 3.470000-5 2.685198+6 3.510000-5 2.804226+6 3.550000-5 2.945382+6 3.589219-5 3.106076+6 3.630781-5 3.301527+6 3.672823-5 3.526798+6 3.720000-5 3.814032+6 3.780000-5 4.234866+6 3.850000-5 4.808526+6 3.950000-5 5.791920+6 4.180000-5 8.824620+6 4.265795-5 1.022393+7 4.350000-5 1.171860+7 4.420000-5 1.303536+7 4.500000-5 1.459740+7 4.570882-5 1.600666+7 4.630000-5 1.718022+7 4.700000-5 1.854480+7 4.770100-5 1.985842+7 4.841724-5 2.111969+7 4.900000-5 2.206884+7 4.970000-5 2.310096+7 5.040000-5 2.400132+7 5.110000-5 2.476002+7 5.188000-5 2.543210+7 5.270000-5 2.594148+7 5.350000-5 2.624904+7 5.432503-5 2.638134+7 5.500000-5 2.636016+7 5.580000-5 2.619804+7 5.650000-5 2.594628+7 5.754399-5 2.540534+7 5.850000-5 2.476272+7 5.956621-5 2.391161+7 6.070000-5 2.288616+7 6.180000-5 2.180388+7 6.300000-5 2.055738+7 6.400000-5 1.948770+7 6.531306-5 1.806765+7 6.650000-5 1.679118+7 6.770000-5 1.552674+7 6.918310-5 1.402171+7 7.070000-5 1.256820+7 7.230000-5 1.114494+7 7.400000-5 9.766320+6 7.585776-5 8.420289+6 7.800000-5 7.070100+6 8.000000-5 5.991090+6 8.230000-5 4.943694+6 8.500000-5 3.940848+6 8.730000-5 3.247734+6 9.015711-5 2.554269+6 9.300000-5 2.012106+6 9.549926-5 1.632273+6 9.900000-5 1.219206+6 1.023293-4 9.258009+5 1.110000-4 4.639056+5 1.135011-4 3.858662+5 1.150000-4 3.474696+5 1.170000-4 3.046014+5 1.185000-4 2.779656+5 1.198000-4 2.582556+5 1.213000-4 2.389944+5 1.226600-4 2.244221+5 1.240000-4 2.124702+5 1.255000-4 2.016258+5 1.265000-4 1.957368+5 1.275000-4 1.908234+5 1.290000-4 1.851156+5 1.303167-4 1.815845+5 1.315000-4 1.794654+5 1.330000-4 1.780590+5 1.345000-4 1.779204+5 1.359200-4 1.788137+5 1.373000-4 1.805190+5 1.390000-4 1.836066+5 1.412538-4 1.891140+5 1.440000-4 1.975638+5 1.465000-4 2.065212+5 1.584893-4 2.578754+5 1.640590-4 2.828948+5 1.690000-4 3.043776+5 1.740000-4 3.249330+5 1.798871-4 3.472184+5 1.850000-4 3.647136+5 1.905461-4 3.816530+5 1.972423-4 3.992527+5 2.041738-4 4.142599+5 2.113489-4 4.265946+5 2.190000-4 4.365750+5 2.264644-4 4.435757+5 2.350000-4 4.486962+5 2.454709-4 4.513737+5 2.570396-4 4.506157+5 2.691535-4 4.465584+5 2.818383-4 4.393828+5 2.951209-4 4.293911+5 3.100000-4 4.162182+5 3.273407-4 3.991849+5 3.467369-4 3.790371+5 3.672823-4 3.576186+5 3.890451-4 3.350822+5 4.120975-4 3.120779+5 4.365158-4 2.888113+5 4.700000-4 2.594532+5 5.011872-4 2.347837+5 5.400000-4 2.076558+5 5.821032-4 1.819973+5 6.237348-4 1.602075+5 6.760830-4 1.371553+5 7.413102-4 1.137988+5 8.200000-4 9.181020+4 9.015711-4 7.438103+4 1.000000-3 5.853870+4 1.096478-3 4.697676+4 1.202264-3 3.744107+4 1.318257-3 2.964574+4 1.462177-3 2.262813+4 1.621810-3 1.714756+4 1.798871-3 1.289951+4 2.000000-3 9.568020+3 2.213095-3 7.143472+3 2.454709-3 5.259792+3 2.722701-3 3.845553+3 3.019952-3 2.791894+3 3.349654-3 2.012500+3 3.715352-3 1.440951+3 4.168694-3 9.865234+2 4.677351-3 6.700888+2 5.248075-3 4.517262+2 5.888437-3 3.023189+2 6.606934-3 2.009534+2 7.413102-3 1.326688+2 8.317638-3 8.700049+1 9.440609-3 5.428132+1 1.071519-2 3.361054+1 1.216186-2 2.065725+1 1.380384-2 1.260151+1 1.548817-2 7.986225+0 1.778279-2 4.581302+0 2.113489-2 2.267168+0 2.511886-2 1.113991+0 3.019952-2 5.179569-1 3.672823-2 2.273326-1 4.731513-2 7.763275-2 7.943282-2 8.548844-3 9.772372-2 3.559579-3 1.161449-1 1.726100-3 1.348963-1 9.284914-4 1.548817-1 5.278148-4 1.737801-1 3.318168-4 1.949845-1 2.101129-4 2.162719-1 1.402730-4 2.398833-1 9.433789-5 2.630268-1 6.674150-5 2.884032-1 4.752035-5 3.162278-1 3.407222-5 3.467369-1 2.461775-5 3.758374-1 1.865029-5 4.073803-1 1.422883-5 4.415705-1 1.092996-5 4.786301-1 8.455054-6 5.188000-1 6.588654-6 5.623413-1 5.172262-6 6.095369-1 4.089744-6 6.606935-1 3.257243-6 7.161434-1 2.612822-6 7.762471-1 2.110839-6 8.609938-1 1.614388-6 9.120108-1 1.399601-6 9.660509-1 1.221617-6 1.022000+0 1.077700-6 1.096478+0 9.290596-7 1.161449+0 8.278324-7 1.230269+0 7.421131-7 1.380384+0 6.018110-7 1.698244+0 4.174080-7 1.905461+0 3.428618-7 2.137962+0 2.839786-7 2.454709+0 2.281606-7 2.818383+0 1.846301-7 3.198895+0 1.530768-7 3.715352+0 1.236165-7 4.365158+0 9.899537-8 5.188000+0 7.867631-8 6.165950+0 6.299739-8 7.498942+0 4.936137-8 9.120108+0 3.897473-8 1.148154+1 2.974143-8 1.462177+1 2.257806-8 1.949845+1 1.639951-8 2.691535+1 1.156630-8 3.801894+1 8.018227-9 5.821032+1 5.143941-9 9.885531+1 2.985460-9 1.883649+2 1.551782-9 3.758374+2 7.73577-10 1.496236+3 1.93456-10 1.000000+5 2.89120-12 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 3.239000-5 2.183500-5 1.000000+5 2.183500-5 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 3.239000-5 1.055500-5 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 1.339000-5 7.712460+5 1.364583-5 6.796762+5 1.400000-5 5.688360+5 1.440000-5 4.647440+5 1.479108-5 3.807869+5 1.515000-5 3.167120+5 1.554900-5 2.574703+5 1.590000-5 2.141160+5 1.621810-5 1.808449+5 1.660000-5 1.473060+5 1.698244-5 1.196347+5 1.737801-5 9.622917+4 1.778279-5 7.687189+4 1.900000-5 3.953300+4 1.930400-5 3.387135+4 1.957000-5 2.982820+4 1.980000-5 2.694020+4 2.000000-5 2.484200+4 2.020000-5 2.309280+4 2.035000-5 2.199200+4 2.047000-5 2.123260+4 2.062000-5 2.042480+4 2.075000-5 1.984526+4 2.090000-5 1.930590+4 2.105000-5 1.889692+4 2.120000-5 1.860904+4 2.135000-5 1.843420+4 2.150000-5 1.836466+4 2.165000-5 1.839316+4 2.180000-5 1.851288+4 2.200000-5 1.880338+4 2.220000-5 1.923062+4 2.240000-5 1.978160+4 2.264644-5 2.061309+4 2.290868-5 2.166156+4 2.330000-5 2.349380+4 2.485000-5 3.285360+4 2.540973-5 3.670502+4 2.600160-5 4.088910+4 2.660725-5 4.521173+4 2.722701-5 4.961255+4 2.786121-5 5.403934+4 2.851018-5 5.844724+4 2.920000-5 6.296240+4 3.000000-5 6.794560+4 3.080000-5 7.263260+4 3.162278-5 7.712795+4 3.260000-5 8.203040+4 3.350000-5 8.612720+4 3.450000-5 9.021980+4 3.570000-5 9.452160+4 3.690000-5 9.820120+4 3.801894-5 1.011146+5 3.950000-5 1.042696+5 4.120975-5 1.070160+5 4.300000-5 1.090074+5 4.500000-5 1.103186+5 4.720000-5 1.108400+5 4.954502-5 1.105497+5 5.230000-5 1.093620+5 5.500000-5 1.075490+5 5.821032-5 1.048213+5 6.165950-5 1.014653+5 6.606934-5 9.687085+4 7.079458-5 9.186056+4 7.673615-5 8.573784+4 8.413951-5 7.867263+4 9.332543-5 7.089910+4 1.047129-4 6.268204+4 1.188502-4 5.428933+4 1.380384-4 4.540767+4 1.905461-4 3.050537+4 2.187762-4 2.558780+4 2.454709-4 2.195610+4 2.851018-4 1.784784+4 3.349654-4 1.417222+4 4.073803-4 1.061139+4 4.954502-4 7.896140+3 5.754399-4 6.247104+3 6.839116-4 4.730347+3 8.511380-4 3.299193+3 1.000000-3 2.512980+3 1.216186-3 1.792606+3 1.496236-3 1.241721+3 1.862087-3 8.371112+2 2.290868-3 5.719200+2 2.818383-3 3.878922+2 3.467369-3 2.610610+2 4.315191-3 1.705280+2 5.821032-3 9.425490+1 6.918310-3 6.649106+1 8.035261-3 4.881261+1 9.440609-3 3.468696+1 1.122018-2 2.387778+1 1.333521-2 1.631348+1 1.566751-2 1.134963+1 1.840772-2 7.839253+0 2.162719-2 5.375581+0 2.540973-2 3.659414+0 3.000000-2 2.443652+0 3.548134-2 1.611753+0 4.216965-2 1.041896+0 5.011872-2 6.682577-1 5.956621-2 4.251670-1 7.161434-2 2.605272-1 8.413951-2 1.686764-1 1.047129-1 9.265377-2 1.428894-1 3.916521-2 2.398833-1 9.282987-3 2.884032-1 5.601739-3 3.388442-1 3.626542-3 3.890451-1 2.516545-3 4.415705-1 1.813600-3 4.954502-1 1.356033-3 5.559043-1 1.021658-3 6.165950-1 7.973433-4 6.839117-1 6.266582-4 7.585776-1 4.960313-4 8.511380-1 3.857065-4 9.332543-1 3.175697-4 1.023293+0 2.633421-4 1.161449+0 2.047788-4 1.303167+0 1.644725-4 1.479108+0 1.300683-4 1.640590+0 1.080746-4 1.840772+0 8.863248-5 2.044000+0 7.452500-5 2.344229+0 5.984689-5 2.691535+0 4.831255-5 3.090295+0 3.928764-5 3.589219+0 3.166892-5 4.168694+0 2.571860-5 4.897788+0 2.070873-5 5.821032+0 1.654224-5 7.000000+0 1.311300-5 8.413951+0 1.047321-5 1.071519+1 7.863367-6 1.400000+1 5.784900-6 1.927525+1 4.052686-6 2.660725+1 2.857522-6 3.758374+1 1.980484-6 5.754399+1 1.270285-6 9.772372+1 7.371249-7 1.862087+2 3.831023-7 3.715352+2 1.909662-7 1.479108+3 4.775649-8 1.000000+5 7.05530-10 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 1.339000-5 1.339000-5 1.000000+5 1.339000-5 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.339000-5 0.0 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 6.280000-6 1.420641+7 6.606934-6 1.306301+7 7.000000-6 1.178501+7 7.413102-6 1.056711+7 7.943282-6 9.181941+6 8.413951-6 8.107924+6 8.912509-6 7.114216+6 9.500000-6 6.112650+6 1.011579-5 5.227119+6 1.071519-5 4.501753+6 1.150000-5 3.721135+6 1.243400-5 2.991164+6 1.333521-5 2.442924+6 1.460000-5 1.864074+6 1.603245-5 1.399303+6 1.800000-5 9.728738+5 2.089296-5 6.037852+5 3.548134-5 1.085843+5 4.168694-5 6.481923+4 4.623810-5 4.682772+4 5.011872-5 3.659645+4 5.370318-5 2.982822+4 5.688529-5 2.530746+4 6.025596-5 2.162003+4 6.382635-5 1.861649+4 6.683439-5 1.661770+4 7.000000-5 1.491481+4 7.328245-5 1.348137+4 7.673615-5 1.225126+4 8.035261-5 1.120016+4 8.500000-5 1.011427+4 8.912509-5 9.337894+3 9.440609-5 8.535467+3 1.000000-4 7.855071+3 1.060000-4 7.269204+3 1.122018-4 6.777273+3 1.202264-4 6.268205+3 1.288250-4 5.834507+3 1.400000-4 5.391349+3 1.550000-4 4.935829+3 2.113489-4 3.856090+3 2.371374-4 3.496070+3 2.660725-4 3.147851+3 2.985383-4 2.813397+3 3.349654-4 2.491004+3 3.801894-4 2.161991+3 4.415704-4 1.814620+3 4.954502-4 1.574309+3 5.495409-4 1.374738+3 6.095369-4 1.192325+3 6.839116-4 1.010166+3 7.852356-4 8.218272+2 8.810489-4 6.876696+2 9.772372-4 5.817727+2 1.109175-3 4.707294+2 1.258925-3 3.780824+2 1.428894-3 3.014284+2 1.621810-3 2.385652+2 1.840772-3 1.874394+2 2.089296-3 1.462101+2 2.371374-3 1.132352+2 2.691535-3 8.704603+1 3.140690-3 6.263348+1 3.507519-3 4.911080+1 3.935501-3 3.783046+1 4.415704-3 2.893592+1 5.011872-3 2.139691+1 5.688529-3 1.570110+1 6.456542-3 1.143533+1 7.328245-3 8.267597+0 8.317638-3 5.934466+0 9.440609-3 4.229760+0 1.071519-2 2.993561+0 1.216186-2 2.104041+0 1.396368-2 1.421339+0 1.603245-2 9.527726-1 1.840772-2 6.339871-1 2.137962-2 4.046030-1 2.483133-2 2.562455-1 2.917427-2 1.554571-1 3.427678-2 9.358414-2 4.120975-2 5.197475-2 5.011872-2 2.760713-2 6.382635-2 1.251690-2 1.364583-1 1.021693-3 1.659587-1 5.396121-4 1.972423-1 3.093798-4 2.290868-1 1.923001-4 2.630268-1 1.248476-4 3.000000-1 8.335800-5 3.388442-1 5.776693-5 3.801894-1 4.112733-5 4.265795-1 2.949795-5 4.731513-1 2.202379-5 5.248075-1 1.656387-5 5.821032-1 1.255265-5 6.456542-1 9.583415-6 7.161434-1 7.372971-6 7.852356-1 5.879842-6 8.709636-1 4.577857-6 9.332543-1 3.901638-6 9.885531-1 3.436370-6 1.071519+0 2.903658-6 1.161449+0 2.470183-6 1.258925+0 2.117972-6 1.396368+0 1.751282-6 1.678804+0 1.262955-6 1.883649+0 1.036878-6 2.089296+0 8.744362-7 2.398833+0 7.017718-7 2.754229+0 5.671853-7 3.126079+0 4.696657-7 3.630781+0 3.788165-7 4.216965+0 3.078100-7 5.000000+0 2.450100-7 5.956621+0 1.952868-7 7.244360+0 1.528027-7 8.810489+0 1.204914-7 1.122018+1 9.061442-8 1.445440+1 6.785405-8 1.949845+1 4.865457-8 2.691535+1 3.431461-8 3.801894+1 2.378896-8 5.821032+1 1.526106-8 9.885531+1 8.857241-9 1.862087+2 4.657741-9 3.715352+2 2.321825-9 1.479108+3 5.80624-10 1.000000+5 8.57780-12 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 6.280000-6 6.280000-6 1.000000+5 6.280000-6 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 6.280000-6 0.0 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 5.770000-6 2.927977+7 6.200000-6 2.555700+7 6.606934-6 2.251896+7 7.000000-6 1.995355+7 7.500000-6 1.713929+7 8.035261-6 1.461215+7 8.609938-6 1.235660+7 9.225714-6 1.037312+7 9.885531-6 8.646583+6 1.059254-5 7.158558+6 1.135011-5 5.888386+6 1.230269-5 4.654001+6 1.333521-5 3.652877+6 1.462177-5 2.748280+6 1.621810-5 1.980608+6 1.840772-5 1.316768+6 2.722701-5 3.666236+5 3.126079-5 2.349024+5 3.507519-5 1.632706+5 3.845918-5 1.228936+5 4.168694-5 9.654348+4 4.466836-5 7.906215+4 4.731513-5 6.736019+4 5.011872-5 5.776941+4 5.300000-5 5.013147+4 5.559043-5 4.470248+4 5.821032-5 4.025520+4 6.095369-5 3.646865+4 6.400000-5 3.306565+4 6.760830-5 2.984489+4 7.079458-5 2.755545+4 7.500000-5 2.511660+4 7.943282-5 2.306664+4 8.511380-5 2.098983+4 9.120108-5 1.923792+4 9.900000-5 1.747942+4 1.083927-4 1.584275+4 1.202264-4 1.427046+4 1.350000-4 1.279266+4 1.603245-4 1.098098+4 2.018366-4 8.982247+3 2.264644-4 8.059372+3 2.540973-4 7.181216+3 2.851018-4 6.351851+3 3.090295-4 5.799268+3 3.507519-4 4.984004+3 4.073803-4 4.129412+3 4.623810-4 3.502124+3 5.136400-4 3.033940+3 5.754399-4 2.577401+3 6.456542-4 2.168056+3 7.413102-4 1.747113+3 8.511380-4 1.397431+3 9.440609-4 1.174565+3 1.071519-3 9.423646+2 1.216186-3 7.506613+2 1.380384-3 5.936498+2 1.566751-3 4.661539+2 1.778279-3 3.634692+2 2.018366-3 2.813904+2 2.290868-3 2.162971+2 2.600160-3 1.650775+2 2.951209-3 1.250909+2 3.311311-3 9.654059+1 3.758374-3 7.204554+1 4.265795-3 5.333669+1 4.786301-3 4.029264+1 5.432503-3 2.937114+1 6.165950-3 2.124543+1 6.998420-3 1.525257+1 7.943282-3 1.086926+1 9.015711-3 7.689702+0 1.023293-2 5.400940+0 1.161449-2 3.765883+0 1.318257-2 2.607426+0 1.500000-2 1.779629+0 1.717908-2 1.182633+0 1.972423-2 7.741645-1 2.264644-2 5.031055-1 2.630268-2 3.129970-1 3.090295-2 1.862004-1 3.630781-2 1.098847-1 4.315191-2 6.196311-2 5.188000-2 3.336809-2 6.456542-2 1.585396-2 8.810489-2 5.452338-3 1.348963-1 1.257440-3 1.659587-1 6.201359-4 1.949845-1 3.603554-4 2.238721-1 2.278312-4 2.540973-1 1.507066-4 2.851018-1 1.042266-4 3.162278-1 7.527599-5 3.507519-1 5.473948-5 3.890451-1 4.010340-5 4.265795-1 3.062318-5 4.677351-1 2.354401-5 5.128614-1 1.823230-5 5.623413-1 1.422616-5 6.165950-1 1.118474-5 6.760830-1 8.861810-6 7.413102-1 7.076023-6 8.128305-1 5.692830-6 8.810489-1 4.732927-6 9.549926-1 3.964173-6 1.023293+0 3.428046-6 1.122018+0 2.845486-6 1.216186+0 2.433078-6 1.364583+0 1.961984-6 1.566751+0 1.529259-6 1.757924+0 1.250352-6 1.949845+0 1.049802-6 2.238721+0 8.392728-7 2.570396+0 6.759137-7 2.951209+0 5.482926-7 3.388442+0 4.481855-7 3.935501+0 3.629657-7 4.623810+0 2.914887-7 5.495409+0 2.322619-7 6.606934+0 1.837422-7 8.035261+0 1.443585-7 1.011579+1 1.096999-7 1.230269+1 8.740380-8 1.513561+1 6.911581-8 1.972423+1 5.152450-8 2.754229+1 3.590208-8 3.935501+1 2.460289-8 6.095369+1 1.560555-8 1.023293+2 9.169774-9 1.927525+2 4.823856-9 3.845918+2 2.404986-9 1.531087+3 6.01507-10 1.000000+5 9.19890-12 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 5.770000-6 5.770000-6 1.000000+5 5.770000-6 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 5.770000-6 0.0 1.000000+5 1.000000+5 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.575480-7 1.028100+0 1.165120-6 1.028750+0 1.575480-6 1.029500+0 2.156090-6 1.030100+0 2.711540-6 1.031000+0 3.710310-6 1.032000+0 5.076640-6 1.033200+0 7.111510-6 1.034000+0 8.730030-6 1.035300+0 1.184980-5 1.036640+0 1.575480-5 1.038200+0 2.126160-5 1.039700+0 2.762310-5 1.041500+0 3.675220-5 1.043800+0 5.101320-5 1.046400+0 7.097530-5 1.048300+0 8.836620-5 1.051200+0 1.198670-4 1.054080+0 1.575480-4 1.057700+0 2.147490-4 1.061100+0 2.793350-4 1.065100+0 3.698110-4 1.070400+0 5.159280-4 1.076200+0 7.130140-4 1.080600+0 8.904380-4 1.087100+0 1.199710-3 1.093710+0 1.575480-3 1.102600+0 2.184270-3 1.110700+0 2.848550-3 1.120600+0 3.810190-3 1.133300+0 5.297290-3 1.147500+0 7.313450-3 1.158200+0 9.088720-3 1.174100+0 1.214850-2 1.190110+0 1.575480-2 1.205100+0 1.961840-2 1.227500+0 2.626540-2 1.250000+0 3.392000-2 1.265600+0 3.973020-2 1.294900+0 5.161920-2 1.331800+0 6.811420-2 1.362600+0 8.291950-2 1.397000+0 1.003610-1 1.433800+0 1.199510-1 1.500000+0 1.576000-1 1.589800+0 2.144960-1 1.665000+0 2.671900-1 1.784700+0 3.591060-1 1.892300+0 4.477250-1 2.000000+0 5.389000-1 2.044000+0 5.761000-1 2.163500+0 6.776540-1 2.372600+0 8.561980-1 2.647100+0 1.088070+0 3.000000+0 1.377000+0 3.437500+0 1.716590+0 4.000000+0 2.123000+0 4.750000+0 2.614930+0 5.000000+0 2.767000+0 6.000000+0 3.323000+0 7.000000+0 3.819000+0 8.000000+0 4.264000+0 9.000000+0 4.669000+0 1.000000+1 5.040000+0 1.100000+1 5.382000+0 1.200000+1 5.697000+0 1.300000+1 5.990000+0 1.400000+1 6.260000+0 1.500000+1 6.509000+0 1.600000+1 6.741000+0 1.800000+1 7.165000+0 2.000000+1 7.545000+0 2.200000+1 7.889000+0 2.400000+1 8.202000+0 2.600000+1 8.488000+0 2.800000+1 8.749000+0 3.000000+1 8.990000+0 4.000000+1 9.969000+0 5.000000+1 1.069000+1 6.000000+1 1.126000+1 8.000000+1 1.209000+1 1.000000+2 1.269000+1 1.500000+2 1.363000+1 2.000000+2 1.419000+1 3.000000+2 1.485000+1 4.000000+2 1.522000+1 5.000000+2 1.547000+1 6.000000+2 1.565000+1 8.000000+2 1.589000+1 1.000000+3 1.604000+1 1.500000+3 1.626000+1 2.000000+3 1.638000+1 3.000000+3 1.651000+1 4.000000+3 1.658000+1 5.000000+3 1.662000+1 6.000000+3 1.666000+1 8.000000+3 1.670000+1 1.000000+4 1.672000+1 1.500000+4 1.676000+1 2.000000+4 1.678000+1 3.000000+4 1.680000+1 4.000000+4 1.681000+1 5.000000+4 1.681000+1 6.000000+4 1.682000+1 8.000000+4 1.682000+1 1.000000+5 1.683000+1 1 50000 7 8 1.186900+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 5.014930-7 2.099900+0 1.174570-6 2.106600+0 1.633920-6 2.114000+0 2.260730-6 2.119500+0 2.814600-6 2.127900+0 3.817130-6 2.136250+0 5.014930-6 2.147000+0 6.875820-6 2.156900+0 8.930860-6 2.169000+0 1.191880-5 2.184500+0 1.656750-5 2.201800+0 2.292170-5 2.214800+0 2.855860-5 2.234200+0 3.841640-5 2.253680+0 5.014930-5 2.281500+0 7.024300-5 2.307000+0 9.226390-5 2.338200+0 1.240570-4 2.377400+0 1.718040-4 2.410200+0 2.185060-4 2.446800+0 2.779520-4 2.485900+0 3.499560-4 2.532900+0 4.478690-4 2.556430+0 5.014930-4 2.611900+0 6.394590-4 2.660400+0 7.730710-4 2.745300+0 1.034710-3 2.809000+0 1.253090-3 2.904500+0 1.614300-3 3.000000+0 2.015000-3 3.125000+0 2.598270-3 3.234400+0 3.161510-3 3.425800+0 4.257360-3 3.569300+0 5.162400-3 3.784700+0 6.636040-3 4.000000+0 8.220000-3 4.250000+0 1.015610-2 4.625000+0 1.319820-2 5.000000+0 1.636000-2 5.500000+0 2.069990-2 6.000000+0 2.510000-2 6.750000+0 3.165360-2 7.000000+0 3.381000-2 8.000000+0 4.224000-2 9.000000+0 5.030000-2 1.000000+1 5.795000-2 1.100000+1 6.519000-2 1.200000+1 7.202000-2 1.300000+1 7.845000-2 1.400000+1 8.457000-2 1.500000+1 9.036000-2 1.600000+1 9.586000-2 1.800000+1 1.060000-1 2.000000+1 1.153000-1 2.200000+1 1.238000-1 2.400000+1 1.316000-1 2.600000+1 1.387000-1 2.800000+1 1.454000-1 3.000000+1 1.516000-1 4.000000+1 1.772000-1 5.000000+1 1.967000-1 6.000000+1 2.121000-1 8.000000+1 2.353000-1 1.000000+2 2.522000-1 1.500000+2 2.801000-1 2.000000+2 2.976000-1 3.000000+2 3.190000-1 4.000000+2 3.318000-1 5.000000+2 3.406000-1 6.000000+2 3.470000-1 8.000000+2 3.559000-1 1.000000+3 3.618000-1 1.500000+3 3.706000-1 2.000000+3 3.756000-1 3.000000+3 3.810000-1 4.000000+3 3.842000-1 5.000000+3 3.862000-1 6.000000+3 3.875000-1 8.000000+3 3.894000-1 1.000000+4 3.905000-1 1.500000+4 3.921000-1 2.000000+4 3.930000-1 3.000000+4 3.939000-1 4.000000+4 3.944000-1 5.000000+4 3.948000-1 6.000000+4 3.950000-1 8.000000+4 3.952000-1 1.000000+5 3.954000-1 1 50000 7 8 1.186900+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 50000 7 9 1.186900+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 5.000000+1 1.000000+5 5.000000+1 5.000000+5 4.998100+1 1.000000+6 4.994600+1 1.375000+6 4.991070+1 1.500000+6 4.989500+1 2.000000+6 4.981400+1 2.500000+6 4.971100+1 3.000000+6 4.958800+1 3.500000+6 4.944140+1 4.000000+6 4.928000+1 4.500000+6 4.910180+1 5.000000+6 4.890600+1 5.687500+6 4.860310+1 6.437500+6 4.824590+1 6.500000+6 4.821620+1 7.000000+6 4.796400+1 7.500000+6 4.770000+1 8.250000+6 4.728510+1 8.500000+6 4.714650+1 9.000000+6 4.686200+1 1.000000+7 4.627400+1 1.109400+7 4.561180+1 1.187500+7 4.512930+1 1.203100+7 4.503070+1 1.250000+7 4.474300+1 1.375000+7 4.396130+1 1.500000+7 4.319200+1 1.687500+7 4.205550+1 1.750000+7 4.168300+1 2.000000+7 4.021200+1 2.250000+7 3.878010+1 2.500000+7 3.738800+1 2.875000+7 3.537140+1 3.000000+7 3.471900+1 3.250000+7 3.343970+1 3.500000+7 3.220500+1 3.625000+7 3.160760+1 4.000000+7 2.989400+1 4.500000+7 2.779520+1 5.000000+7 2.593200+1 6.000000+7 2.288000+1 6.750000+7 2.111840+1 7.000000+7 2.061100+1 7.750000+7 1.927990+1 8.000000+7 1.888500+1 8.750000+7 1.780290+1 9.000000+7 1.746900+1 1.000000+8 1.620500+1 1.085900+8 1.517880+1 1.125000+8 1.472300+1 1.144500+8 1.449820+1 1.214800+8 1.369820+1 1.250000+8 1.330400+1 1.312500+8 1.261360+1 1.406300+8 1.162210+1 1.500000+8 1.069900+1 1.750000+8 8.630010+0 2.000000+8 7.156000+0 2.125000+8 6.605580+0 2.253900+8 6.147100+0 2.341800+8 5.889630+0 2.375000+8 5.802990+0 2.447300+8 5.632990+0 2.500000+8 5.524300+0 2.625000+8 5.308380+0 2.859400+8 4.969020+0 3.000000+8 4.760600+0 3.125000+8 4.559240+0 3.500000+8 3.996900+0 3.812500+8 3.646670+0 3.937500+8 3.510190+0 4.000000+8 3.439200+0 4.125000+8 3.289870+0 4.234400+8 3.155560+0 4.425800+8 2.922290+0 4.750000+8 2.560430+0 5.000000+8 2.323800+0 5.250000+8 2.126470+0 5.625000+8 1.886030+0 6.000000+8 1.692400+0 6.343800+8 1.546100+0 6.578100+8 1.464300+0 6.789100+8 1.403710+0 7.000000+8 1.355200+0 7.250000+8 1.312070+0 8.000000+8 1.217000+0 8.359400+8 1.167290+0 8.660200+8 1.123090+0 8.851600+8 1.094680+0 1.000000+9 9.407000-1 1.250000+9 7.259850-1 1.335900+9 6.676600-1 1.375000+9 6.420280-1 1.394500+9 6.294410-1 1.464800+9 5.846760-1 1.500000+9 5.626200-1 1.562500+9 5.241370-1 1.641100+9 4.778500-1 1.706900+9 4.414480-1 1.780200+9 4.037300-1 1.858700+9 3.668210-1 1.952900+9 3.271940-1 2.000000+9 3.092100-1 2.139200+9 2.624310-1 2.272600+9 2.252790-1 2.443000+9 1.865670-1 2.602800+9 1.573420-1 2.825100+9 1.253830-1 3.088500+9 9.717340-2 3.327400+9 7.807490-2 3.634100+9 5.989220-2 3.975600+9 4.543280-2 4.423800+9 3.247750-2 5.000000+9 2.193200-2 5.750000+9 1.389770-2 6.875000+9 7.691130-3 8.000000+9 4.638800-3 1.00000+10 2.204700-3 1.20500+10 1.191200-3 1.41820+10 6.992640-4 1.71110+10 3.806510-4 2.01380+10 2.256300-4 2.41190+10 1.270400-4 2.88610+10 7.207070-5 3.54590+10 3.781930-5 4.35270+10 2.000640-5 5.38800+10 1.036270-5 7.03510+10 4.582630-6 9.01170+10 2.160570-6 1.00000+11 1.577300-6 1.34280+11 6.496340-7 1.77440+11 2.821920-7 2.63330+11 8.732630-8 4.88110+11 1.420220-8 1.16740+12 1.125330-9 3.55150+12 4.61967-11 1.00000+14 3.62930-15 5.62340+14 2.67960-17 2.73840+16 3.90428-22 1.00000+17 9.40570-24 1 50000 7 0 1.186900+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 6.00000-12 1.000000+2 6.00000-10 1.000000+3 6.000000-8 1.000000+4 6.000000-6 1.000000+5 6.000000-4 5.000000+5 1.500000-2 1.000000+6 6.000000-2 1.375000+6 1.131200-1 1.500000+6 1.344000-1 2.000000+6 2.365000-1 2.500000+6 3.648000-1 3.000000+6 5.175000-1 3.500000+6 6.920550-1 4.000000+6 8.861000-1 4.500000+6 1.097310+0 5.000000+6 1.323000+0 5.687500+6 1.651980+0 6.437500+6 2.029380+0 6.500000+6 2.061550+0 7.000000+6 2.321500+0 7.500000+6 2.585040+0 8.250000+6 2.984680+0 8.500000+6 3.118180+0 9.000000+6 3.385700+0 1.000000+7 3.917000+0 1.109400+7 4.488530+0 1.187500+7 4.889150+0 1.203100+7 4.967880+0 1.250000+7 5.204400+0 1.375000+7 5.820180+0 1.500000+7 6.416000+0 1.687500+7 7.272400+0 1.750000+7 7.549500+0 2.000000+7 8.615000+0 2.250000+7 9.624390+0 2.500000+7 1.058900+1 2.875000+7 1.196930+1 3.000000+7 1.241500+1 3.250000+7 1.328350+1 3.500000+7 1.412760+1 3.625000+7 1.453980+1 4.000000+7 1.574600+1 4.500000+7 1.728400+1 5.000000+7 1.876000+1 6.000000+7 2.154100+1 6.750000+7 2.345620+1 7.000000+7 2.405900+1 7.750000+7 2.573470+1 8.000000+7 2.625200+1 8.750000+7 2.767620+1 9.000000+7 2.811300+1 1.000000+8 2.968700+1 1.085900+8 3.086030+1 1.125000+8 3.135460+1 1.144500+8 3.159280+1 1.214800+8 3.240570+1 1.250000+8 3.279400+1 1.312500+8 3.345070+1 1.406300+8 3.437120+1 1.500000+8 3.522600+1 1.750000+8 3.722850+1 2.000000+8 3.889400+1 2.125000+8 3.961940+1 2.253900+8 4.030310+1 2.341800+8 4.073770+1 2.375000+8 4.089440+1 2.447300+8 4.122910+1 2.500000+8 4.146200+1 2.625000+8 4.198430+1 2.859400+8 4.286180+1 3.000000+8 4.333800+1 3.125000+8 4.372890+1 3.500000+8 4.475100+1 3.812500+8 4.545290+1 3.937500+8 4.569730+1 4.000000+8 4.581700+1 4.125000+8 4.603340+1 4.234400+8 4.621840+1 4.425800+8 4.650700+1 4.750000+8 4.692330+1 5.000000+8 4.720000+1 5.250000+8 4.743560+1 5.625000+8 4.773040+1 6.000000+8 4.797700+1 6.343800+8 4.816270+1 6.578100+8 4.827920+1 6.789100+8 4.837250+1 7.000000+8 4.846300+1 7.250000+8 4.855560+1 8.000000+8 4.881000+1 8.359400+8 4.890980+1 8.660200+8 4.899020+1 8.851600+8 4.904000+1 1.000000+9 4.928800+1 1.250000+9 4.963280+1 1.335900+9 4.971110+1 1.375000+9 4.974190+1 1.394500+9 4.975450+1 1.464800+9 4.979870+1 1.500000+9 4.982000+1 1.562500+9 4.984700+1 1.641100+9 4.987720+1 1.706900+9 4.989380+1 1.780200+9 4.991150+1 1.858700+9 4.992980+1 1.952900+9 4.994730+1 2.000000+9 4.995400+1 2.139200+9 4.996750+1 2.272600+9 4.997960+1 2.443000+9 4.999070+1 2.602800+9 4.999590+1 2.825100+9 5.000260+1 3.088500+9 5.000800+1 3.327400+9 5.000680+1 3.634100+9 5.000530+1 3.975600+9 5.000380+1 4.423800+9 5.000200+1 5.000000+9 5.000000+1 5.750000+9 5.000000+1 6.875000+9 5.000000+1 8.000000+9 5.000000+1 1.00000+10 5.000000+1 1.20500+10 5.000000+1 1.41820+10 5.000000+1 1.71110+10 5.000000+1 2.01380+10 5.000000+1 2.41190+10 5.000000+1 2.88610+10 5.000000+1 3.54590+10 5.000000+1 4.35270+10 5.000000+1 5.38800+10 5.000000+1 7.03510+10 5.000000+1 9.01170+10 5.000000+1 1.00000+11 5.000000+1 1.34280+11 5.000000+1 1.77440+11 5.000000+1 2.63330+11 5.000000+1 4.88110+11 5.000000+1 1.16740+12 5.000000+1 3.55150+12 5.000000+1 1.00000+14 5.000000+1 5.62340+14 5.000000+1 2.73840+16 5.000000+1 1.00000+17 5.000000+1 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.930812-6 0.0 2.941633-6 7.084131-1 2.945239-6 9.415554-1 2.952453-6 1.719828+0 2.959667-6 2.899866+0 2.967783-6 4.759549+0 2.980421-6 8.340653+0 2.988973-6 1.061698+1 2.996398-6 1.195008+1 3.003758-6 1.236721+1 3.010979-6 1.181058+1 3.018859-6 1.024242+1 3.031029-6 6.839321+0 3.039019-6 4.623364+0 3.046233-6 2.984683+0 3.053447-6 1.778657+0 3.060661-6 9.784541-1 3.071030-6 2.797768-1 3.075088-6 0.0 3.441063-6 0.0 3.453767-6 2.976919-1 3.458002-6 3.956638-1 3.466472-6 7.227123-1 3.474942-6 1.218592+0 3.484470-6 2.000075+0 3.499160-6 3.489279+0 3.509879-6 4.497455+0 3.517820-6 5.015371+0 3.526537-6 5.200887+0 3.535414-6 4.948154+0 3.544292-6 4.317921+0 3.558143-6 2.935464+0 3.568109-6 1.942847+0 3.577108-6 1.222630+0 3.585313-6 7.369497-1 3.593783-6 4.048598-1 3.606113-6 1.072162-1 3.610457-6 0.0 3.746768-6 0.0 3.755990-6 4.188321-7 3.765212-6 8.287533-7 3.774435-6 1.513786-6 3.783657-6 2.552451-6 3.792879-6 3.972868-6 3.797207-6 4.786172-6 3.820546-6 1.028731-5 3.829768-6 1.223160-5 3.838990-6 1.373381-5 3.848212-6 1.467578-5 3.857434-6 1.504761-5 3.871977-6 1.467756-5 3.881324-6 1.390763-5 3.890670-6 1.271491-5 3.900016-6 1.113685-5 3.931212-6 4.552147-6 3.937402-6 3.542647-6 3.946748-6 2.287010-6 3.956094-6 1.362894-6 3.965441-6 7.497392-7 3.974787-6 3.807259-7 3.984133-6 0.0 4.120031-6 0.0 4.122070-6 2.511889-2 4.142362-6 2.493923+0 4.152508-6 4.542694+0 4.162654-6 7.639824+0 4.173686-6 1.231737+1 4.201922-6 2.678714+1 4.214315-6 3.115150+1 4.224980-6 3.214675+1 4.235318-6 3.051934+1 4.245491-6 2.674029+1 4.274260-6 1.195359+1 4.284406-6 7.708555+0 4.294552-6 4.589171+0 4.304698-6 2.522201+0 4.321373-6 4.344136-1 4.322849-6 2.459141-1 4.324990-6 5.244942-7 4.328662-6 6.331418-7 4.339264-6 1.156485-6 4.349866-6 1.949993-6 4.361292-6 3.137912-6 4.382766-6 1.347051-1 4.393497-6 2.459630-1 4.404231-6 4.147234-1 4.416228-6 6.796451-1 4.447170-6 1.506129+0 4.458891-6 1.709008+0 4.469625-6 1.769986+0 4.480360-6 1.693066+0 4.491834-6 1.474983+0 4.522649-6 6.538895-1 4.533410-6 4.210523-1 4.544119-6 2.508012-1 4.554518-6 1.399306-1 4.567937-6 5.332505-2 4.575988-6 0.0 4.630282-6 0.0 4.653075-6 1.051708+0 4.664472-6 1.921030+0 4.675869-6 3.239120+0 4.687266-6 5.041664+0 4.717133-6 1.089383+1 4.723546-6 1.204389+1 4.733899-6 1.334812+1 4.745776-6 1.380287+1 4.757321-6 1.312753+1 4.772061-6 1.094141+1 4.785542-6 8.546180+0 4.802198-6 5.860944+0 4.814076-6 4.725464+0 4.825049-6 4.452420+0 4.828199-6 4.563301+0 4.838007-6 5.132696+0 4.859850-6 7.595523+0 4.873796-6 9.743489+0 4.887086-6 1.108508+1 4.897686-6 1.150864+1 4.909984-6 1.107037+1 4.921771-6 9.904102+0 4.957431-6 4.953803+0 4.967725-6 3.836578+0 4.979489-6 2.921506+0 4.992949-6 2.245738+0 5.003441-6 1.866164+0 5.014781-6 1.350171+0 5.027422-6 1.172142+0 5.063394-6 4.963740-1 5.070227-6 3.921217-1 5.075385-6 3.210978-1 5.082262-6 2.420999-1 5.085107-6 2.158105-1 5.089106-6 2.455256-1 5.096192-6 3.087027-1 5.109453-6 4.434428-1 5.112414-6 5.044485-1 5.122851-6 7.652372-1 5.135563-6 1.270577+0 5.148363-6 1.993480+0 5.185628-6 4.594137+0 5.199780-6 5.235183+0 5.212164-6 5.431020+0 5.224812-6 5.219728+0 5.237908-6 4.623766+0 5.273148-6 2.479285+0 5.281334-6 2.090344+0 5.286351-6 1.885612+0 5.290587-6 1.798143+0 5.299430-6 1.759586+0 5.310047-6 1.893419+0 5.316985-6 2.080446+0 5.328810-6 2.583473+0 5.336150-6 3.020861+0 5.351510-6 4.310412+0 5.373108-6 6.273696+0 5.393622-6 7.716752+0 5.407082-6 8.161518+0 5.422543-6 8.077967+0 5.438482-6 7.481410+0 5.490559-6 4.501875+0 5.507043-6 3.824830+0 5.515088-6 3.598574+0 5.552699-6 2.994188+0 5.599699-6 2.835260+0 5.623720-6 2.920205+0 5.650485-6 3.266348+0 5.705210-6 4.600457+0 5.723795-6 4.885360+0 5.738439-6 4.887773+0 5.752251-6 4.715411+0 5.804374-6 3.521829+0 5.817417-6 3.334734+0 5.832345-6 3.284160+0 5.852485-6 3.409951+0 5.904727-6 3.936780+0 5.936981-6 3.898972+0 5.983236-6 3.741474+0 6.291243-6 3.586747+0 6.472839-6 3.425338+0 6.947857-6 3.203693+0 6.982060-6 5.966692+0 6.999161-6 8.255298+0 7.016262-6 1.172936+1 7.035501-6 1.720782+1 7.084667-6 3.421565+1 7.103339-6 3.839248+1 7.120786-6 3.961480+1 7.138377-6 3.785541+1 7.156584-6 3.332758+1 7.204376-6 1.672338+1 7.222546-6 1.165778+1 7.238579-6 8.314015+0 7.256749-6 5.856209+0 7.290211-6 3.042816+0 7.458108-6 2.965743+0 7.494823-6 8.836951+0 7.513180-6 1.369539+1 7.532684-6 2.169474+1 7.552189-6 3.268573+1 7.604966-6 6.875546+1 7.625781-6 7.775257+1 7.644263-6 8.013536+1 7.661722-6 7.690426+1 7.681693-6 6.721906+1 7.712850-6 4.582326+1 7.733466-6 3.175313+1 7.751823-6 2.149753+1 7.770180-6 1.394743+1 7.788537-6 8.935048+0 7.825252-6 2.799901+0 9.650341-6 2.084377+0 1.120491-5 1.619794+0 1.126006-5 1.644742+0 1.131067-5 1.806357+0 1.133838-5 1.955984+0 1.137405-5 2.258320+0 1.147725-5 3.416479+0 1.150828-5 3.610668+0 1.154275-5 3.585712+0 1.157033-5 3.411560+0 1.160998-5 2.972358+0 1.167376-5 2.194650+0 1.169852-5 1.957265+0 1.172622-5 1.762305+0 1.175393-5 1.626268+0 1.180933-5 1.471063+0 1.212398-5 1.401830+0 1.221351-5 1.454903+0 1.227319-5 1.558491+0 1.236272-5 1.781799+0 1.242240-5 1.839315+0 1.247106-5 1.769577+0 1.257335-5 1.508350+0 1.263129-5 1.427114+0 1.272082-5 1.438242+0 1.279971-5 1.484841+0 1.360608-5 1.252138+0 1.469127-5 1.038383+0 1.606376-5 8.343716-1 1.747833-5 6.792347-1 1.919208-5 5.434736-1 2.106656-5 4.387076-1 2.307188-5 3.600338-1 2.549354-5 2.951755-1 2.594119-5 2.858658-1 2.606889-5 1.986959+0 2.613274-5 3.393938+0 2.619659-5 5.527951+0 2.626728-5 8.838827+0 2.645599-5 1.948690+1 2.652896-5 2.206203+1 2.658868-5 2.298682+1 2.665596-5 2.238972+1 2.673954-5 1.983511+1 2.683909-5 1.622678+1 2.689895-5 1.469173+1 2.697428-5 1.399523+1 2.704750-5 1.426609+1 2.713725-5 1.506951+1 2.720343-5 1.475660+1 2.724887-5 1.429385+1 2.728323-5 1.383229+1 2.734717-5 1.240862+1 2.752519-5 7.180284+0 2.759052-5 5.676395+0 2.765586-5 4.560108+0 2.772130-5 3.746116+0 2.778789-5 3.099151+0 2.785187-5 2.300870+0 2.792108-5 1.924283+0 2.805427-5 1.135720+0 2.812086-5 8.205963-1 2.818745-5 5.884217-1 2.825405-5 4.340513-1 2.838723-5 2.445515-1 2.973833-5 2.276275-1 2.988472-5 4.350524-1 2.995792-5 6.070961-1 3.003112-5 8.683720-1 3.010431-5 1.225994+0 3.032391-5 2.560215+0 3.040625-5 2.878234+0 3.047945-5 2.965025+0 3.055530-5 2.824997+0 3.065858-5 2.357401+0 3.080320-5 1.551896+0 3.083629-5 1.404082+0 3.090948-5 1.190607+0 3.098372-5 1.124040+0 3.104918-5 1.217317+0 3.111453-5 1.417139+0 3.121215-5 1.827379+0 3.136040-5 2.673015+0 3.145146-5 3.040883+0 3.152888-5 3.200614+0 3.162460-5 3.156959+0 3.170734-5 2.961743+0 3.197279-5 2.048671+0 3.207298-5 1.835466+0 3.214707-5 1.774620+0 3.233871-5 1.851180+0 3.257947-5 2.061304+0 3.280307-5 2.100389+0 3.366377-5 2.110823+0 3.490000-5 2.349014+0 3.599610-5 2.708423+0 3.713264-5 3.261400+0 3.812737-5 3.922192+0 3.912260-5 4.778755+0 4.033704-5 6.122371+0 4.168694-5 8.046009+0 4.328794-5 1.094455+1 4.526149-5 1.536672+1 5.040000-5 2.802549+1 5.308844-5 3.264051+1 5.588750-5 3.494619+1 5.920532-5 3.468341+1 6.337405-5 3.129309+1 7.446013-5 1.759551+1 7.886673-5 1.313356+1 8.258579-5 1.014820+1 8.652613-5 7.692114+0 9.016082-5 5.953582+0 9.125343-5 5.590234+0 9.192396-5 5.629836+0 9.283664-5 5.964436+0 9.332457-5 5.869305+0 9.458224-5 5.180090+0 9.853762-5 4.139413+0 9.958256-5 4.019058+0 1.010420-4 4.061453+0 1.032006-4 3.608393+0 1.081779-4 2.903208+0 1.122554-4 2.468461+0 1.170000-4 2.105805+0 1.214879-4 1.877913+0 1.268929-4 1.718805+0 1.333521-4 1.651135+0 1.340043-4 1.711317+0 1.346607-4 1.869027+0 1.351761-4 2.095936+0 1.363018-4 2.749533+0 1.366300-4 2.859229+0 1.369582-4 2.884018+0 1.372864-4 2.818817+0 1.376244-4 2.673151+0 1.386927-4 2.092467+0 1.391558-4 1.938346+0 1.398519-4 1.868058+0 1.418324-4 2.065356+0 1.461679-4 2.114580+0 1.665295-4 2.649963+0 1.975000-4 3.533202+0 2.304000-4 4.250432+0 2.733750-4 4.818165+0 3.162278-4 5.084814+0 3.954400-4 5.119631+0 4.801208-4 4.898237+0 4.922019-4 5.468752+0 4.980006-4 5.802752+0 5.012742-4 6.282856+0 5.037000-4 6.967948+0 5.064472-4 8.235770+0 5.098207-4 1.052466+1 5.197000-4 1.890733+1 5.280625-4 2.462454+1 5.361500-4 2.862081+1 5.463866-4 3.137501+1 5.601680-4 3.271394+1 5.863069-4 3.215707+1 6.578068-4 2.829156+1 6.995883-4 2.673554+1 7.173102-4 2.875692+1 7.489691-4 2.840533+1 7.718681-4 2.868860+1 8.526636-4 2.639807+1 8.677790-4 2.689496+1 1.037731-3 2.207650+1 1.228800-3 1.801729+1 1.450179-3 1.455344+1 1.698244-3 1.176363+1 1.912543-3 9.964805+0 2.195351-3 8.180858+0 2.528889-3 6.649225+0 2.874339-3 5.489572+0 3.310130-3 4.425401+0 3.804618-3 3.564908+0 3.846413-3 3.558716+0 3.866056-3 3.724117+0 3.879840-3 4.044096+0 3.890870-3 4.489503+0 3.902253-3 5.151995+0 3.922164-3 6.715023+0 3.945536-3 8.622876+0 3.964026-3 9.686616+0 3.986204-3 1.029353+1 4.035814-3 1.038261+1 4.096315-3 1.027472+1 4.127269-3 1.065714+1 4.188867-3 1.261687+1 4.224136-3 1.309639+1 4.381944-3 1.274579+1 4.472773-3 1.378381+1 4.756838-3 1.275755+1 5.451698-3 1.032690+1 6.262082-3 8.279930+0 7.156927-3 6.684683+0 8.198794-3 5.344607+0 9.316097-3 4.314741+0 1.054871-2 3.493397+0 1.181382-2 2.875663+0 1.341804-2 2.304609+0 1.491124-2 1.915127+0 1.678049-2 1.554067+0 1.878235-2 1.271805+0 2.091933-2 1.047901+0 2.316353-2 8.714280-1 2.630268-2 6.917280-1 2.847150-2 6.031834-1 2.862063-2 6.274699-1 2.870617-2 6.726462-1 2.879125-2 7.627543-1 2.885630-2 8.751949-1 2.893340-2 1.068689+0 2.902366-2 1.382153+0 2.918791-2 2.115053+0 2.934401-2 2.776745+0 2.947927-2 3.160653+0 2.963353-2 3.363664+0 2.991466-2 3.407743+0 3.459454-2 2.697815+0 3.983973-2 2.141275+0 4.566399-2 1.695874+0 5.098682-2 1.400207+0 5.784497-2 1.122057+0 6.354182-2 9.487209-1 7.141417-2 7.687613-1 8.023706-2 6.212433-1 9.002494-2 5.025990-1 1.012385-1 4.039554-1 1.115417-1 3.372992-1 1.219459-1 2.852209-1 1.351407-1 2.350775-1 1.501520-1 1.927905-1 1.649410-1 1.616198-1 1.825563-1 1.335798-1 2.022080-1 1.102715-1 2.243688-1 9.100842-2 2.479562-1 7.571193-2 2.722701-1 6.395574-2 3.019952-1 5.314903-2 3.352631-1 4.428309-2 3.762401-1 3.641928-2 4.201348-1 3.037707-2 4.705800-1 2.538134-2 5.385798-1 2.070051-2 6.008278-1 1.769869-2 6.920799-1 1.464018-2 7.864324-1 1.249137-2 9.015711-1 1.066484-2 1.070165+0 8.881964-3 1.286622+0 7.271901-3 1.546860+0 5.953700-3 1.859734+0 4.874453-3 2.235892+0 3.990845-3 2.688134+0 3.267411-3 3.231848+0 2.675117-3 3.885536+0 2.190190-3 4.671441+0 1.793167-3 5.616308+0 1.468114-3 6.752287+0 1.201984-3 8.118035+0 9.840963-4 9.760024+0 8.057059-4 1.000000+1 1.639504-3 1 50000 7 0 1.186900+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-4.991232+1 2.713136-6-4.850373+1 2.898490-6-4.661814+1 2.935807-6-4.435536+1 2.969361-6-4.153079+1 2.984465-6-4.303098+1 3.003006-6-4.898462+1 3.006087-6-5.016261+1 3.024591-6-4.498408+1 3.039019-6-4.404694+1 3.096307-6-4.874617+1 3.112155-6-4.928051+1 3.456943-6-4.679299+1 3.497969-6-4.605221+1 3.537247-6-5.030677+1 3.568109-6-4.893659+1 3.616714-6-5.009684+1 4.000590-6-4.535640+1 4.086214-6-4.209654+1 4.118239-6-3.888137+1 4.166142-6-3.006887+1 4.177013-6-2.936837+1 4.188774-6-3.077341+1 4.199199-6-3.393946+1 4.213129-6-4.147040+1 4.226090-6-5.063588+1 4.238939-6-4.229439+1 4.249305-6-3.708518+1 4.262004-6-3.386538+1 4.272967-6-3.314173+1 4.285674-6-3.461676+1 4.336655-6-4.403000+1 4.393497-6-4.849713+1 4.455517-6-5.022141+1 4.530124-6-5.068343+1 4.627881-6-4.649364+1 4.688950-6-4.160060+1 4.712144-6-4.246748+1 4.733899-6-4.628606+1 4.755003-6-5.069167+1 4.777812-6-4.732111+1 4.802910-6-4.777958+1 4.828199-6-5.092895+1 4.861516-6-4.899710+1 4.886427-6-5.070117+1 4.927789-6-4.439978+1 4.957431-6-4.370200+1 5.114534-6-5.117548+1 5.169290-6-4.948544+1 5.213450-6-5.106009+1 5.257760-6-4.944909+1 5.299430-6-5.152544+1 5.356572-6-4.896885+1 5.397381-6-5.111833+1 5.407082-6-5.150970+1 5.454556-6-4.819220+1 5.507043-6-4.825542+1 5.690500-6-5.147491+1 5.795370-6-4.984580+1 5.910336-6-5.092603+1 6.376380-6-5.157856+1 6.773110-6-4.492131+1 6.887011-6-4.094882+1 6.939393-6-3.711017+1 7.022141-6-2.609380+1 7.039242-6-2.507432+1 7.056343-6-2.577203+1 7.071842-6-2.833129+1 7.085736-6-3.224565+1 7.102303-6-3.855885+1 7.126306-6-4.935431+1 7.133253-6-4.791825+1 7.142525-6-4.383302+1 7.161255-6-3.760767+1 7.179910-6-3.405486+1 7.200769-6-3.322612+1 7.222546-6-3.516350+1 7.317451-6-4.909749+1 7.327307-6-4.961094+1 7.417892-6-3.980714+1 7.450649-6-3.417902+1 7.470995-6-2.853863+1 7.494823-6-2.284863+1 7.516478-6-1.679195+1 7.534835-6-1.243783+1 7.538600-6-1.181005+1 7.552189-6-1.016333+1 7.559216-6-1.008791+1 7.568251-6-1.079073+1 7.574562-6-1.181913+1 7.579832-6-1.315443+1 7.586608-6-1.555853+1 7.597221-6-2.045560+1 7.604240-6-2.468100+1 7.620600-6-3.672643+1 7.635091-6-4.958059+1 7.650332-6-3.513726+1 7.660037-6-2.648958+1 7.665630-6-2.152365+1 7.679542-6-1.125867+1 7.681693-6-9.810042+0 7.685458-6-7.582497+0 7.688281-6-6.080364+0 7.692516-6-4.024299+0 7.696752-6-2.092565+0 7.699046-6-1.112108+0 7.703062-6 3.100967-1 7.706074-6 1.207771+0 7.710591-6 2.305881+0 7.712850-6 2.739093+0 7.715109-6 3.065502+0 7.719698-6 3.592374+0 7.723140-6 3.887968+0 7.728303-6 4.077226+0 7.730884-6 4.023168+0 7.742645-6 2.840956+0 7.747234-6 2.236637+0 7.749528-6 1.829596+0 7.751823-6 1.246972+0 7.754118-6 6.371704-1 7.762149-6-1.021038+0 7.766165-6-1.917390+0 7.768172-6-2.430130+0 7.770180-6-3.072028+0 7.794848-6-9.598913+0 7.820663-6-1.526319+1 7.830257-6-1.820423+1 7.845219-6-2.112096+1 7.869982-6-2.439211+1 7.918797-6-2.851504+1 7.995051-6-3.230530+1 8.140777-6-3.613538+1 8.406894-6-3.933064+1 8.994041-6-4.198441+1 1.131067-5-4.533573+1 1.148070-5-4.509554+1 1.165997-5-4.322789+1 1.236272-5-4.477202+1 2.220147-5-4.831205+1 2.494002-5-5.085280+1 2.568133-5-4.812867+1 2.593834-5-4.496755+1 2.626045-5-3.819474+1 2.636021-5-3.867350+1 2.645200-5-4.170183+1 2.662181-5-5.169347+1 2.673317-5-4.599280+1 2.683909-5-4.412053+1 2.706627-5-4.463901+1 2.738889-5-3.764303+1 2.752519-5-3.720653+1 2.838723-5-4.428612+1 3.024761-5-5.028451+1 3.076761-5-4.847917+1 3.134843-5-5.056544+1 3.192445-5-4.906903+1 3.341872-5-5.080300+1 4.441130-5-6.085971+1 4.770100-5-6.031009+1 5.110000-5-5.538892+1 6.000000-5-3.453149+1 6.337405-5-2.839651+1 6.698581-5-2.379842+1 7.003800-5-2.142612+1 7.328245-5-2.011568+1 7.758190-5-1.975269+1 8.385116-5-2.086264+1 9.420979-5-2.430898+1 9.692183-5-2.519712+1 1.170000-4-2.852477+1 1.461679-4-3.189015+1 1.975000-4-3.339673+1 3.527674-4-3.455676+1 4.174698-4-3.689874+1 4.603891-4-4.048933+1 4.854093-4-4.491325+1 4.990910-4-5.021495+1 5.116874-4-5.703536+1 5.197000-4-5.735817+1 5.331600-4-5.306481+1 5.601680-4-4.155206+1 5.830194-4-3.514859+1 6.051999-4-3.127116+1 6.326766-4-2.836379+1 6.708677-4-2.584624+1 6.952279-4-2.537160+1 7.113286-4-2.605401+1 7.314053-4-2.348051+1 7.581041-4-2.209576+1 7.807344-4-1.996103+1 8.235014-4-1.751322+1 8.526636-4-1.655998+1 8.723026-4-1.617353+1 8.982541-4-1.457288+1 9.522477-4-1.256167+1 1.037731-3-1.040395+1 1.127887-3-8.829498+0 1.228800-3-7.621938+0 1.364583-3-6.567093+0 1.500548-3-5.923468+0 1.698244-3-5.428861+0 1.912543-3-5.239343+0 2.195351-3-5.297787+0 2.528889-3-5.660738+0 2.874339-3-6.296587+0 3.218179-3-7.271982+0 3.471542-3-8.407063+0 3.644973-3-9.656909+0 3.755950-3-1.097021+1 3.823238-3-1.233014+1 3.866056-3-1.395488+1 3.914040-3-1.631830+1 3.936766-3-1.641953+1 3.974256-3-1.488638+1 4.007334-3-1.351412+1 4.050084-3-1.265004+1 4.096315-3-1.254570+1 4.155979-3-1.293724+1 4.188867-3-1.228915+1 4.258315-3-1.030028+1 4.322147-3-9.358428+0 4.381944-3-9.044347+0 4.431048-3-8.968523+0 4.472773-3-8.377037+0 4.535311-3-7.185815+0 4.621937-3-6.125857+0 4.756838-3-5.008942+0 4.912347-3-4.069148+0 5.091843-3-3.253514+0 5.246071-3-2.711690+0 5.451698-3-2.138390+0 5.707591-3-1.598769+0 5.955584-3-1.207732+0 6.126148-3-9.884720-1 6.305176-3-8.026868-1 6.559564-3-5.905653-1 6.741398-3-4.651941-1 6.972972-3-3.361597-1 7.088378-3-2.784113-1 7.307183-3-1.875382-1 7.588484-3-1.001230-1 7.797429-3-4.717262-2 7.852356-3-3.558390-2 7.951860-3-1.687206-2 8.025197-3-5.093379-3 8.104944-3 7.993315-3 8.147336-3 1.416039-2 8.327369-3 3.572534-2 8.395808-3 4.246876-2 8.511380-3 5.217887-2 8.712856-3 6.621418-2 8.961695-3 7.270459-2 9.194752-3 7.578430-2 9.409526-3 7.523319-2 9.747793-3 6.727289-2 1.004146-2 5.585884-2 1.023937-2 4.516630-2 1.040557-2 3.510696-2 1.071950-2 1.374767-2 1.076156-2 1.058706-2 1.087433-2 1.294659-3 1.088616-2 3.624777-4 1.096182-2-5.452068-3 1.109175-2-1.551175-2 1.144305-2-4.561357-2 1.248551-2-1.419304-1 2.018346-2-9.221030-1 2.248527-2-1.187244+0 2.444434-2-1.472636+0 2.593984-2-1.776316+0 2.695131-2-2.078872+0 2.762868-2-2.381196+0 2.813254-2-2.723391+0 2.847150-2-3.099101+0 2.870617-2-3.544185+0 2.906014-2-4.432454+0 2.918791-2-4.522890+0 2.934401-2-4.313897+0 2.969804-2-3.322450+0 2.991466-2-2.878760+0 3.018255-2-2.516562+0 3.057851-2-2.151945+0 3.112995-2-1.801068+0 3.176515-2-1.505371+0 3.264159-2-1.206556+0 3.373070-2-9.405008-1 3.459454-2-7.825252-1 3.570062-2-6.212718-1 3.662267-2-5.125888-1 3.791153-2-3.872194-1 3.871973-2-3.230859-1 3.983973-2-2.487751-1 4.042209-2-2.151703-1 4.118821-2-1.766163-1 4.216230-2-1.331782-1 4.333861-2-8.794396-2 4.398659-2-6.784733-2 4.522778-2-3.305168-2 4.634252-2-7.891976-3 4.675697-2-3.076183-4 4.677352-2-9.363249-7 4.734043-2 1.053760-2 4.862618-2 3.085771-2 4.972967-2 4.466523-2 5.098682-2 5.788264-2 5.343863-2 7.629932-2 5.495409-2 8.492283-2 5.647744-2 9.121384-2 5.784497-2 9.436085-2 6.065290-2 9.646650-2 6.354182-2 9.449043-2 6.847215-2 8.602853-2 7.318850-2 7.307015-2 9.353733-2 4.560592-3 9.453790-2 1.264872-3 9.492149-2-1.991202-5 9.569326-2-2.589352-3 9.728385-2-7.739569-3 1.035142-1-2.709553-2 1.115417-1-4.987291-2 1.219459-1-7.600234-2 1.351407-1-1.047530-1 1.555538-1-1.401609-1 1.825563-1-1.748887-1 2.161590-1-2.053497-1 2.722701-1-2.376602-1 3.628250-1-2.655947-1 5.232991-1-2.869845-1 9.015711-1-3.016542-1 2.814822+0-3.083610-1 8.500626+0-3.091205-1 1.000000+1-3.090115-1 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.646979-3 1.060920-6 2.104296-3 1.199882-6 3.511538-3 1.357045-6 5.945475-3 1.582757-6 1.175952-2 1.683225-6 1.555817-2 1.790070-6 2.068730-2 1.908574-6 2.802513-2 2.160227-6 5.107651-2 2.280758-6 6.707025-2 2.317801-6 7.282516-2 2.426681-6 9.266805-2 2.542219-6 1.193368-1 2.658920-6 1.540809-1 2.744141-6 1.855211-1 2.824036-6 2.210258-1 2.908281-6 2.661762-1 2.969156-6 3.045736-1 3.034987-6 3.532532-1 3.096704-6 4.067723-1 3.154563-6 4.655647-1 3.217421-6 5.405572-1 3.259659-6 5.986458-1 3.307334-6 6.740348-1 3.358148-6 7.673548-1 3.393930-6 8.427071-1 3.436802-6 9.460262-1 3.470040-6 1.037597+0 3.504566-6 1.145784+0 3.539196-6 1.270124+0 3.567279-6 1.384890+0 3.595727-6 1.516637+0 3.622398-6 1.657227+0 3.647401-6 1.806975+0 3.677735-6 2.016646+0 3.692817-6 2.134605+0 3.713420-6 2.313597+0 3.734557-6 2.522716+0 3.750841-6 2.704911+0 3.767817-6 2.918258+0 3.783732-6 3.144124+0 3.798652-6 3.383072+0 3.812639-6 3.635711+0 3.827719-6 3.945601+0 3.838046-6 4.184750+0 3.849572-6 4.482497+0 3.860377-6 4.796577+0 3.870507-6 5.127625+0 3.889500-6 5.869663+0 3.906119-6 6.696201+0 3.920661-6 7.620251+0 3.933385-6 8.658986+0 3.944518-6 9.830087+0 3.954260-6 1.114528+1 3.962784-6 1.260433+1 3.970243-6 1.419261+1 3.976769-6 1.588280+1 3.982479-6 1.763945+1 3.987476-6 1.942410+1 3.991848-6 2.119986+1 3.999021-6 2.460176+1 4.009272-6 3.066825+1 4.026262-6 4.431433+1 4.032353-6 5.035152+1 4.037304-6 5.568067+1 4.042254-6 6.135448+1 4.052155-6 7.352963+1 4.053392-6 7.510829+1 4.062055-6 8.630762+1 4.065459-6 9.070020+1 4.071956-6 9.888426+1 4.075360-6 1.029878+2 4.078608-6 1.067363+2 4.081857-6 1.102824+2 4.086189-6 1.146322+2 4.090365-6 1.183453+2 4.094233-6 1.212999+2 4.097482-6 1.233844+2 4.102277-6 1.257408+2 4.108079-6 1.273584+2 4.112468-6 1.276401+2 4.118510-6 1.266722+2 4.122853-6 1.250148+2 4.126643-6 1.229329+2 4.131438-6 1.194968+2 4.135155-6 1.162606+2 4.142170-6 1.089559+2 4.145999-6 1.044098+2 4.149226-6 1.003287+2 4.153483-6 9.466526+1 4.156799-6 9.008424+1 4.161063-6 8.405034+1 4.165395-6 7.783697+1 4.169920-6 7.134828+1 4.175914-6 6.290450+1 4.180246-6 5.700400+1 4.182102-6 5.454365+1 4.186434-6 4.899091+1 4.190765-6 4.373399+1 4.201285-6 3.237034+1 4.204476-6 2.934198+1 4.207521-6 2.663641+1 4.210567-6 2.411060+1 4.213042-6 2.218853+1 4.216291-6 1.983990+1 4.220957-6 1.680042+1 4.225834-6 1.402376+1 4.229703-6 1.209180+1 4.233542-6 1.039492+1 4.239244-6 8.243719+0 4.244887-6 6.502069+0 4.248615-6 5.537574+0 4.252313-6 4.710348+0 4.259624-6 3.404246+0 4.266821-6 2.470666+0 4.421956-6 1.846218+0 4.694404-6 9.691412+0 4.722043-6 1.279741+1 4.745288-6 1.671552+1 4.758364-6 1.923842+1 4.768534-6 2.118147+1 4.772529-6 2.190695+1 4.781609-6 2.341119+1 4.787965-6 2.429944+1 4.791779-6 2.475031+1 4.796864-6 2.524144+1 4.801767-6 2.558365+1 4.808487-6 2.582371+1 4.813390-6 2.582168+1 4.815025-6 2.578678+1 4.820836-6 2.552268+1 4.825921-6 2.511326+1 4.828736-6 2.481656+1 4.833503-6 2.420451+1 4.838633-6 2.340039+1 4.842965-6 2.261369+1 4.848161-6 2.155494+1 4.852856-6 2.050518+1 4.856543-6 1.962970+1 4.861674-6 1.835277+1 4.865935-6 1.725493+1 4.871140-6 1.588785+1 4.875664-6 1.469302+1 4.880653-6 1.338615+1 4.885831-6 1.206095+1 4.890971-6 1.079379+1 4.896196-6 9.570867+0 4.902785-6 8.142425+0 4.908474-6 7.025121+0 4.914232-6 6.012592+0 4.931661-6 3.701281+0 4.935245-6 3.363017+0 4.937523-6 3.170806+0 4.944358-6 2.695489+0 4.946893-6 2.555785+0 4.948794-6 2.463246+0 4.950220-6 2.400498+0 4.953428-6 2.279366+0 4.955574-6 2.213187+0 4.956957-6 2.176560+0 4.959550-6 2.120094+0 4.961819-6 2.083177+0 4.965790-6 2.044829+0 4.968769-6 2.036479+0 4.973236-6 2.053840+0 4.977704-6 2.103616+0 4.983697-6 2.215027+0 4.989690-6 2.370469+0 4.997300-6 2.620748+0 5.017019-6 3.475018+0 5.029130-6 4.107949+0 5.041240-6 4.806124+0 5.053350-6 5.565735+0 5.077571-6 7.283130+0 5.085582-6 7.918229+0 5.101791-6 9.327716+0 5.150233-6 1.496106+1 5.162343-6 1.686178+1 5.172563-6 1.869097+1 5.182145-6 2.063573+1 5.191128-6 2.270596+1 5.199549-6 2.491245+1 5.215339-6 2.995816+1 5.229156-6 3.572246+1 5.241245-6 4.225234+1 5.251823-6 4.952888+1 5.261079-6 5.746148+1 5.269178-6 6.590107+1 5.276265-6 7.466380+1 5.282465-6 8.355623+1 5.292638-6 1.010245+2 5.323570-6 1.822949+2 5.333513-6 2.191612+2 5.341582-6 2.532054+2 5.348140-6 2.835274+2 5.354697-6 3.160809+2 5.367813-6 3.868764+2 5.369452-6 3.961525+2 5.380928-6 4.626480+2 5.385923-6 4.919414+2 5.395190-6 5.455190+2 5.399495-6 5.696061+2 5.403401-6 5.907644+2 5.409809-6 6.235982+2 5.414715-6 6.467686+2 5.418722-6 6.641789+2 5.423981-6 6.846716+2 5.430108-6 7.047499+2 5.438192-6 7.242209+2 5.443875-6 7.327059+2 5.449198-6 7.365474+2 5.455712-6 7.357103+2 5.461977-6 7.291434+2 5.465130-6 7.237362+2 5.471131-6 7.096868+2 5.477435-6 6.899017+2 5.484273-6 6.631320+2 5.489662-6 6.385926+2 5.495231-6 6.104988+2 5.500100-6 5.840271+2 5.505910-6 5.505859+2 5.509396-6 5.297727+2 5.513346-6 5.056940+2 5.518531-6 4.735757+2 5.523530-6 4.423744+2 5.525197-6 4.319802+2 5.531754-6 3.913943+2 5.537492-6 3.566520+2 5.539951-6 3.420808+2 5.545689-6 3.090114+2 5.551427-6 2.774652+2 5.564543-6 2.121774+2 5.568248-6 1.956173+2 5.585165-6 1.310847+2 5.592218-6 1.094439+2 5.598812-6 9.183982+1 5.605741-6 7.589215+1 5.612458-6 6.272798+1 5.620875-6 4.908258+1 5.630751-6 3.656345+1 5.646884-6 2.251844+1 5.653397-6 1.858165+1 5.660220-6 1.527306+1 5.665338-6 1.324711+1 5.668749-6 1.208072+1 5.674720-6 1.034156+1 5.679197-6 9.252034+0 5.680690-6 8.924239+0 5.694336-6 6.571437+0 5.696042-6 6.342786+0 5.707983-6 5.021715+0 5.716606-6 4.291974+0 5.735027-6 3.110902+0 5.755745-6 2.164289+0 5.770245-6 1.679333+0 5.777921-6 1.475868+0 5.780906-6 1.406301+0 5.788742-6 1.248492+0 5.792313-6 1.188285+0 5.795112-6 1.146176+0 5.803508-6 1.046518+0 5.810003-6 9.972545-1 5.814989-6 9.765722-1 5.818078-6 9.715940-1 5.820414-6 9.719942-1 5.824596-6 9.821187-1 5.827221-6 9.949749-1 5.830679-6 1.020078+0 5.835867-6 1.076566+0 5.841054-6 1.158121+0 5.854886-6 1.524965+0 5.868718-6 2.179505+0 5.882550-6 3.243031+0 5.908366-6 6.956219+0 5.918851-6 9.427109+0 5.928026-6 1.223419+1 5.936054-6 1.529805+1 5.943078-6 1.853267+1 5.949224-6 2.185337+1 5.959308-6 2.845566+1 5.963426-6 3.161858+1 5.970631-6 3.788962+1 5.980089-6 4.770509+1 5.989968-6 6.013173+1 5.995644-6 6.837982+1 6.002099-6 7.881646+1 6.008553-6 9.043373+1 6.012241-6 9.762008+1 6.020540-6 1.152803+2 6.027036-6 1.305551+2 6.038059-6 1.593354+2 6.052812-6 2.029839+2 6.057732-6 2.186352+2 6.071044-6 2.628714+2 6.076669-6 2.820264+2 6.082038-6 3.003330+2 6.089261-6 3.246896+2 6.095781-6 3.460650+2 6.103103-6 3.689335+2 6.109218-6 3.867673+2 6.115405-6 4.033246+2 6.123179-6 4.215792+2 6.130204-6 4.352353+2 6.138894-6 4.478980+2 6.145470-6 4.540980+2 6.154519-6 4.575915+2 6.159678-6 4.569137+2 6.174582-6 4.442133+2 6.180039-6 4.357636+2 6.182846-6 4.306823+2 6.191267-6 4.126711+2 6.198117-6 3.952782+2 6.203109-6 3.812774+2 6.207791-6 3.672819+2 6.213722-6 3.485613+2 6.220381-6 3.265240+2 6.225943-6 3.075560+2 6.233094-6 2.827800+2 6.240509-6 2.570487+2 6.246071-6 2.379849+2 6.249778-6 2.254809+2 6.256267-6 2.041454+2 6.262755-6 1.836836+2 6.264609-6 1.780233+2 6.274342-6 1.498475+2 6.280405-6 1.337236+2 6.287803-6 1.156485+2 6.296471-6 9.679340+1 6.306444-6 7.823246+1 6.324585-6 5.274589+1 6.331736-6 4.541560+1 6.337961-6 4.016238+1 6.341345-6 3.771708+1 6.351499-6 3.196317+1 6.355807-6 3.017296+1 6.358546-6 2.921647+1 6.367244-6 2.702087+1 6.370682-6 2.646848+1 6.374461-6 2.604175+1 6.376379-6 2.589161+1 6.382372-6 2.567854+1 6.386842-6 2.573975+1 6.392028-6 2.600378+1 6.398171-6 2.652756+1 6.407052-6 2.755801+1 6.423275-6 2.972672+1 6.430054-6 3.056168+1 6.437116-6 3.130180+1 6.444682-6 3.189772+1 6.447347-6 3.205146+1 6.453431-6 3.228288+1 6.460001-6 3.233763+1 6.462709-6 3.230003+1 6.476042-6 3.161293+1 6.481055-6 3.115182+1 6.491597-6 2.987340+1 6.500102-6 2.859634+1 6.507538-6 2.735504+1 6.517742-6 2.555029+1 6.546096-6 2.080766+1 6.554602-6 1.967567+1 6.563373-6 1.871539+1 6.570615-6 1.809347+1 6.577007-6 1.767633+1 6.586628-6 1.727829+1 6.593019-6 1.716029+1 6.600023-6 1.715647+1 6.607653-6 1.729009+1 6.615546-6 1.756535+1 6.621888-6 1.787783+1 6.631423-6 1.848565+1 6.636542-6 1.887539+1 6.646394-6 1.974338+1 6.656031-6 2.074178+1 6.666453-6 2.199698+1 6.678631-6 2.372378+1 6.690519-6 2.572583+1 6.698734-6 2.732011+1 6.703903-6 2.842057+1 6.717337-6 3.166091+1 6.735770-6 3.704311+1 6.749170-6 4.160197+1 6.765663-6 4.778076+1 6.776778-6 5.212603+1 6.786105-6 5.575543+1 6.790633-6 5.747849+1 6.800289-6 6.099333+1 6.809127-6 6.393209+1 6.815164-6 6.573629+1 6.822744-6 6.771864+1 6.829138-6 6.911160+1 6.837538-6 7.050834+1 6.845255-6 7.132328+1 6.849007-6 7.155011+1 6.855422-6 7.167555+1 6.862906-6 7.140200+1 6.869380-6 7.080584+1 6.872876-6 7.034923+1 6.880205-6 6.909883+1 6.886779-6 6.766054+1 6.893054-6 6.603357+1 6.901399-6 6.353277+1 6.908612-6 6.111118+1 6.914921-6 5.883587+1 6.920975-6 5.654799+1 6.929959-6 5.302889+1 6.937589-6 4.998782+1 6.947603-6 4.602270+1 6.960479-6 4.113973+1 6.981431-6 3.419389+1 6.991179-6 3.153420+1 6.997315-6 3.007368+1 7.005030-6 2.848187+1 7.012904-6 2.714431+1 7.019994-6 2.618801+1 7.024837-6 2.566835+1 7.027967-6 2.538906+1 7.033260-6 2.501559+1 7.042916-6 2.464116+1 7.052348-6 2.463100+1 7.056882-6 2.474019+1 7.061560-6 2.492380+1 7.072785-6 2.562479+1 7.079347-6 2.617896+1 7.093023-6 2.758584+1 7.117112-6 3.045673+1 7.129530-6 3.189657+1 7.141567-6 3.313662+1 7.146277-6 3.356343+1 7.157500-6 3.442043+1 7.163756-6 3.479111+1 7.177141-6 3.531076+1 7.187477-6 3.545824+1 7.198101-6 3.539541+1 7.210217-6 3.509511+1 7.225414-6 3.445952+1 7.272227-6 3.200246+1 7.280845-6 3.164089+1 7.298089-6 3.109559+1 7.314552-6 3.080277+1 7.330508-6 3.070357+1 7.351545-6 3.076544+1 7.409869-6 3.119418+1 7.454747-6 3.126766+1 7.535278-6 3.123207+1 7.590947-6 3.139018+1 7.643202-6 3.171793+1 7.713516-6 3.234342+1 7.740831-6 3.245867+1 7.760892-6 3.240099+1 7.786069-6 3.210953+1 7.822353-6 3.138327+1 7.839742-6 3.110303+1 7.860376-6 3.114575+1 7.881388-6 3.207069+1 7.886226-6 3.247847+1 7.891679-6 3.305101+1 7.895950-6 3.359311+1 7.903180-6 3.472319+1 7.909498-6 3.595906+1 7.912642-6 3.667049+1 7.917332-6 3.786248+1 7.921561-6 3.908199+1 7.931176-6 4.242510+1 7.939772-6 4.617684+1 7.946950-6 4.994046+1 7.953391-6 5.386320+1 7.959026-6 5.775797+1 7.968273-6 6.517178+1 7.978656-6 7.516925+1 7.994296-6 9.398338+1 8.012109-6 1.215468+2 8.028008-6 1.520930+2 8.037852-6 1.738505+2 8.057539-6 2.235024+2 8.060000-6 2.302297+2 8.077227-6 2.799002+2 8.083994-6 3.003603+2 8.096914-6 3.401412+2 8.106911-6 3.709199+2 8.111756-6 3.856253+2 8.119062-6 4.073220+2 8.126598-6 4.288501+2 8.133866-6 4.485157+2 8.141210-6 4.670309+2 8.150482-6 4.880576+2 8.157206-6 5.014178+2 8.168741-6 5.201234+2 8.177749-6 5.306634+2 8.189575-6 5.386686+2 8.198540-6 5.401659+2 8.205522-6 5.385807+2 8.214740-6 5.328577+2 8.221249-6 5.264081+2 8.235955-6 5.050156+2 8.243813-6 4.900822+2 8.250437-6 4.758435+2 8.256873-6 4.607351+2 8.264409-6 4.416677+2 8.271676-6 4.221226+2 8.279021-6 4.014729+2 8.288249-6 3.746377+2 8.293786-6 3.582508+2 8.303630-6 3.289581+2 8.313473-6 2.999050+2 8.324547-6 2.680825+2 8.333161-6 2.443055+2 8.352848-6 1.942963+2 8.359615-6 1.787286+2 8.366709-6 1.633777+2 8.377457-6 1.420578+2 8.395797-6 1.110686+2 8.420868-6 7.906304+1 8.433727-6 6.676909+1 8.441987-6 6.016072+1 8.449990-6 5.463170+1 8.457742-6 5.002789+1 8.465252-6 4.621694+1 8.475359-6 4.200831+1 8.479576-6 4.054140+1 8.493232-6 3.685922+1 8.508105-6 3.455802+1 8.518036-6 3.395419+1 8.523662-6 3.393987+1 8.528394-6 3.411415+1 8.531045-6 3.428767+1 8.536265-6 3.479271+1 8.541321-6 3.549575+1 8.546219-6 3.638709+1 8.550965-6 3.745861+1 8.555562-6 3.870339+1 8.564468-6 4.174336+1 8.572818-6 4.543019+1 8.580646-6 4.972301+1 8.587985-6 5.458074+1 8.594865-6 5.995987+1 8.601316-6 6.581370+1 8.607363-6 7.209236+1 8.613032-6 7.874345+1 8.621546-6 9.027719+1 8.628000-6 1.003892+2 8.644422-6 1.323125+2 8.668764-6 1.997561+2 8.684525-6 2.592616+2 8.698737-6 3.254804+2 8.706717-6 3.683685+2 8.713097-6 4.057619+2 8.719477-6 4.459886+2 8.730182-6 5.199684+2 8.740886-6 6.021239+2 8.763634-6 8.028759+2 8.766143-6 8.270441+2 8.785043-6 1.019972+3 8.791942-6 1.094350+3 8.805114-6 1.240139+3 8.815986-6 1.362255+3 8.826523-6 1.480032+3 8.837395-6 1.598724+3 8.847932-6 1.708802+3 8.857299-6 1.800762+3 8.867648-6 1.894051+3 8.880381-6 1.994140+3 8.890918-6 2.062638+3 8.898012-6 2.100626+3 8.908372-6 2.143513+3 8.918478-6 2.170267+3 8.927910-6 2.181433+3 8.937965-6 2.178601+3 8.940092-6 2.176074+3 8.956316-6 2.135368+3 8.966509-6 2.091474+3 8.976388-6 2.036733+3 8.987552-6 1.962067+3 8.997797-6 1.883343+3 9.007163-6 1.804363+3 9.016195-6 1.723212+3 9.029911-6 1.593438+3 9.040615-6 1.489055+3 9.053316-6 1.364494+3 9.062024-6 1.279997+3 9.086110-6 1.056978+3 9.104843-6 9.001411+2 9.129762-6 7.201602+2 9.161212-6 5.422806+2 9.182040-6 4.526603+2 9.195862-6 4.039862+2 9.209630-6 3.629504+2 9.223344-6 3.284972+2 9.238654-6 2.964704+2 9.255480-6 2.677394+2 9.277668-6 2.379665+2 9.291950-6 2.225829+2 9.317909-6 2.001932+2 9.344491-6 1.826313+2 9.370867-6 1.688736+2 9.397036-6 1.577564+2 9.423000-6 1.485443+2 9.450798-6 1.401918+2 9.485121-6 1.315124+2 9.524846-6 1.231632+2 9.584689-6 1.130577+2 9.624856-6 1.075012+2 9.672314-6 1.018937+2 9.719942-6 9.709936+1 9.766825-6 9.303440+1 9.812977-6 8.954576+1 9.903127-6 8.384651+1 1.000000-5 7.890673+1 1.007646-5 7.564862+1 1.015909-5 7.263849+1 1.023913-5 7.013078+1 1.039179-5 6.613855+1 1.055621-5 6.265868+1 1.067379-5 6.056309+1 1.092163-5 5.688811+1 1.109174-5 5.481232+1 1.136241-5 5.201279+1 1.165229-5 4.947450+1 1.290836-5 4.104355+1 1.328408-5 3.857803+1 1.345732-5 3.705954+1 1.361821-5 3.531963+1 1.368524-5 3.496204+1 1.371876-5 3.502131+1 1.375228-5 3.529219+1 1.378580-5 3.579554+1 1.382780-5 3.674530+1 1.388636-5 3.851260+1 1.395340-5 4.067265+1 1.399683-5 4.181480+1 1.402914-5 4.241511+1 1.405258-5 4.269240+1 1.407743-5 4.283574+1 1.410227-5 4.282903+1 1.412100-5 4.273253+1 1.415452-5 4.239153+1 1.418804-5 4.188332+1 1.422156-5 4.126801+1 1.430275-5 3.965029+1 1.437180-5 3.840592+1 1.455300-5 3.610711+1 1.462464-5 3.551499+1 1.469628-5 3.512889+1 1.473210-5 3.502475+1 1.480358-5 3.498658+1 1.498284-5 3.522906+1 1.505453-5 3.512181+1 1.516542-5 3.467034+1 1.533738-5 3.391078+1 1.563808-5 3.295927+1 1.652407-5 3.016735+1 1.702428-5 2.871043+1 1.800046-5 2.599401+1 1.890561-5 2.367489+1 1.934159-5 2.261616+1 1.984398-5 2.142165+1 2.031099-5 2.034144+1 2.080331-5 1.921474+1 2.140000-5 1.788243+1 2.200000-5 1.656836+1 2.260000-5 1.528877+1 2.308000-5 1.427808+1 2.368207-5 1.303867+1 2.440373-5 1.154730+1 2.500000-5 1.034691+1 2.565517-5 9.051738+0 2.639129-5 7.601769+0 2.709101-5 6.252136+0 2.754148-5 5.385395+0 2.795898-5 4.595411+0 2.820543-5 4.138587+0 2.851018-5 3.582237+0 2.871759-5 3.207286+0 2.887144-5 2.931473+0 2.910612-5 2.517764+0 2.934308-5 2.113611+0 2.958076-5 1.726093+0 2.973128-5 1.491370+0 2.987239-5 1.279837+0 3.000468-5 1.090142+0 3.012870-5 9.213534-1 3.024497-5 7.727882-1 3.035398-5 6.437776-1 3.045617-5 5.335456-1 3.055197-5 4.412030-1 3.064179-5 3.657871-1 3.072599-5 3.062904-1 3.080493-5 2.616524-1 3.087894-5 2.307183-1 3.094832-5 2.121818-1 3.101336-5 2.045388-1 3.107434-5 2.060800-1 3.111290-5 2.112983-1 3.113151-5 2.149371-1 3.118510-5 2.291742-1 3.123535-5 2.469073-1 3.132662-5 2.862541-1 3.136802-5 3.052660-1 3.140683-5 3.226370-1 3.144322-5 3.378562-1 3.147733-5 3.506784-1 3.153883-5 3.690424-1 3.159871-5 3.800221-1 3.161303-5 3.816164-1 3.166038-5 3.843665-1 3.170920-5 3.841829-1 3.177383-5 3.831645-1 3.180073-5 3.841939-1 3.182427-5 3.866916-1 3.184486-5 3.906203-1 3.188090-5 4.029500-1 3.190794-5 4.183103-1 3.192821-5 4.342729-1 3.195862-5 4.671047-1 3.198903-5 5.131253-1 3.202840-5 5.977110-1 3.206777-5 7.184946-1 3.209099-5 8.108426-1 3.210714-5 8.859045-1 3.214650-5 1.112619+0 3.218587-5 1.413960+0 3.222524-5 1.808305+0 3.230398-5 2.967188+0 3.234335-5 3.787214+0 3.238272-5 4.811741+0 3.242208-5 6.079361+0 3.246145-5 7.632963+0 3.248114-5 8.531499+0 3.251066-5 1.004877+1 3.254019-5 1.178865+1 3.255987-5 1.308319+1 3.258940-5 1.524361+1 3.261893-5 1.768635+1 3.265921-5 2.151454+1 3.269135-5 2.501078+1 3.272059-5 2.855390+1 3.274849-5 3.227383+1 3.277640-5 3.633518+1 3.281296-5 4.218669+1 3.284953-5 4.864665+1 3.285959-5 5.053000+1 3.291239-5 6.115466+1 3.294032-5 6.725513+1 3.301261-5 8.441162+1 3.303968-5 9.126027+1 3.309135-5 1.047890+2 3.313198-5 1.156765+2 3.315167-5 1.209753+2 3.317136-5 1.262605+2 3.320908-5 1.362666+2 3.323796-5 1.437439+2 3.326154-5 1.496785+2 3.329249-5 1.571670+2 3.333228-5 1.661751+2 3.338257-5 1.763410+2 3.342013-5 1.829057+2 3.346922-5 1.900184+2 3.351044-5 1.946367+2 3.355563-5 1.982611+2 3.359939-5 2.003701+2 3.364963-5 2.011974+2 3.370264-5 2.004158+2 3.375050-5 1.984645+2 3.380596-5 1.950068+2 3.387538-5 1.893233+2 3.393887-5 1.832156+2 3.398837-5 1.780457+2 3.406262-5 1.698173+2 3.413687-5 1.611224+2 3.422527-5 1.501642+2 3.428579-5 1.422571+2 3.434444-5 1.342816+2 3.438629-5 1.284232+2 3.444123-5 1.205717+2 3.449420-5 1.128979+2 3.453984-5 1.062748+2 3.462183-5 9.455987+1 3.472432-5 8.070759+1 3.481625-5 6.944473+1 3.518154-5 3.763535+1 3.551638-5 2.172787+1 3.584240-5 1.268170+1 3.604142-5 9.195317+0 3.633441-5 5.808832+0 3.652276-5 4.309140+0 3.671110-5 3.141302+0 3.698218-5 1.875766+0 3.717597-5 1.221151+0 3.725326-5 1.019105+0 3.734362-5 8.305658-1 3.743398-5 6.994876-1 3.748634-5 6.527608-1 3.752434-5 6.333605-1 3.756657-5 6.268506-1 3.760881-5 6.368035-1 3.764244-5 6.568391-1 3.774334-5 7.825500-1 3.779542-5 8.854088-1 3.788651-5 1.122166+0 3.797908-5 1.422912+0 3.800223-5 1.504857+0 3.807165-5 1.759466+0 3.809360-5 1.841068+0 3.813200-5 1.982941+0 3.816081-5 2.087262+0 3.820401-5 2.237814+0 3.822562-5 2.309470+0 3.824722-5 2.378154+0 3.829829-5 2.526523+0 3.833659-5 2.622797+0 3.834936-5 2.651726+0 3.839565-5 2.742453+0 3.843036-5 2.795397+0 3.844193-5 2.810119+0 3.854360-5 2.878280+0 3.856732-5 2.879533+0 3.863847-5 2.856557+0 3.869776-5 2.815240+0 3.882040-5 2.714337+0 3.888368-5 2.680519+0 3.890478-5 2.675178+0 3.895808-5 2.678804+0 3.898254-5 2.689775+0 3.900890-5 2.708802+0 3.906994-5 2.783212+0 3.909043-5 2.817951+0 3.918596-5 3.042620+0 3.920953-5 3.112664+0 3.930493-5 3.441714+0 3.938260-5 3.742811+0 3.942996-5 3.929337+0 3.947755-5 4.111680+0 3.951121-5 4.234367+0 3.954326-5 4.344372+0 3.958371-5 4.471358+0 3.962722-5 4.590418+0 3.970411-5 4.749455+0 3.974905-5 4.809545+0 3.983678-5 4.856583+0 3.989544-5 4.840238+0 3.997373-5 4.770125+0 4.002521-5 4.702086+0 4.022118-5 4.402312+0 4.028360-5 4.329011+0 4.034816-5 4.279551+0 4.042969-5 4.263721+0 4.048447-5 4.284811+0 4.056595-5 4.363275+0 4.064743-5 4.493765+0 4.071707-5 4.640533+0 4.081217-5 4.881795+0 4.107508-5 5.682489+0 4.117361-5 6.003288+0 4.139286-5 6.738095+0 4.188197-5 8.628323+0 4.225000-5 1.043454+1 4.286742-5 1.432375+1 4.313125-5 1.632394+1 4.340000-5 1.859076+1 4.370000-5 2.142061+1 4.400000-5 2.459537+1 4.432852-5 2.850675+1 4.459362-5 3.202337+1 4.493724-5 3.709621+1 4.528324-5 4.283566+1 4.580743-5 5.288424+1 4.611501-5 5.962198+1 4.650000-5 6.900465+1 4.680000-5 7.710225+1 4.746158-5 9.765790+1 4.786301-5 1.121255+2 4.857208-5 1.417908+2 4.897980-5 1.614518+2 4.936199-5 1.817291+2 4.975740-5 2.046684+2 5.022445-5 2.343982+2 5.063143-5 2.627147+2 5.097502-5 2.884188+2 5.139912-5 3.223848+2 5.177424-5 3.544071+2 5.214935-5 3.882271+2 5.243381-5 4.150203+2 5.293160-5 4.640768+2 5.330495-5 5.025484+2 5.386498-5 5.626618+2 5.442500-5 6.249219+2 5.481250-5 6.687266+2 5.520000-5 7.127665+2 5.550000-5 7.468045+2 5.590000-5 7.918308+2 5.630000-5 8.361360+2 5.690000-5 9.005471+2 5.745900-5 9.576966+2 5.801400-5 1.010898+3 5.850000-5 1.053969+3 5.900000-5 1.094545+3 5.970000-5 1.145055+3 6.030000-5 1.182469+3 6.104192-5 1.221016+3 6.174875-5 1.250458+3 6.256043-5 1.276309+3 6.356934-5 1.298037+3 6.430555-5 1.307158+3 6.519215-5 1.311534+3 6.637304-5 1.308129+3 6.773233-5 1.294071+3 6.849330-5 1.282652+3 7.000000-5 1.253735+3 7.140624-5 1.220096+3 7.267695-5 1.185575+3 7.424621-5 1.139545+3 7.547258-5 1.101966+3 7.762471-5 1.034261+3 7.999535-5 9.604022+2 8.321831-5 8.649565+2 8.865480-5 7.244229+2 9.701534-5 5.591946+2 9.918419-5 5.237067+2 1.011272-4 4.922355+2 1.027174-4 4.639909+2 1.034585-4 4.514494+2 1.039974-4 4.446402+2 1.043886-4 4.414314+2 1.058496-4 4.352016+2 1.064476-4 4.300055+2 1.077694-4 4.140901+2 1.085174-4 4.070136+2 1.094643-4 4.011875+2 1.114644-4 3.915245+2 1.129298-4 3.829702+2 1.145795-4 3.717957+2 1.160161-4 3.609435+2 1.169258-4 3.549551+2 1.177338-4 3.508274+2 1.199220-4 3.426826+2 1.221081-4 3.341719+2 1.365500-4 2.810588+2 1.443562-4 2.593246+2 1.477479-4 2.515445+2 1.506430-4 2.470401+2 1.517460-4 2.443316+2 1.550236-4 2.343317+2 1.575072-4 2.283262+2 1.592681-4 2.259661+2 1.629831-4 2.243467+2 1.709645-4 2.190822+2 1.826612-4 2.130941+2 1.930000-4 2.098725+2 2.032690-4 2.082350+2 2.137962-4 2.076865+2 2.238721-4 2.078862+2 2.834654-4 2.123625+2 2.968247-4 2.126222+2 3.105620-4 2.121693+2 3.280500-4 2.102866+2 3.502475-4 2.057910+2 3.735712-4 1.979670+2 3.925443-4 1.889515+2 4.089727-4 1.789968+2 4.235210-4 1.683198+2 4.365158-4 1.571807+2 4.498898-4 1.439204+2 4.593884-4 1.333422+2 4.676996-4 1.231887+2 4.762806-4 1.118419+2 4.820865-4 1.036234+2 4.883711-4 9.418694+1 4.917751-4 8.885430+1 4.962105-4 8.167941+1 5.012419-4 7.323036+1 5.062956-4 6.445217+1 5.078455-4 6.171109+1 5.120908-4 5.412352+1 5.164199-4 4.640696+1 5.184909-4 4.282040+1 5.214228-4 3.799486+1 5.265943-4 3.063939+1 5.280346-4 2.896252+1 5.293051-4 2.767612+1 5.303580-4 2.678365+1 5.313510-4 2.612355+1 5.321963-4 2.573259+1 5.329981-4 2.553751+1 5.337318-4 2.553673+1 5.343768-4 2.569931+1 5.348917-4 2.595368+1 5.353887-4 2.631626+1 5.358177-4 2.673048+1 5.363206-4 2.734645+1 5.367276-4 2.795665+1 5.372669-4 2.893242+1 5.377501-4 2.998208+1 5.383607-4 3.156643+1 5.387397-4 3.270575+1 5.392077-4 3.428936+1 5.397297-4 3.630026+1 5.402790-4 3.871405+1 5.409541-4 4.212723+1 5.417633-4 4.691542+1 5.426517-4 5.311333+1 5.440382-4 6.490840+1 5.460516-4 8.697779+1 5.467486-4 9.602791+1 5.474999-4 1.065940+2 5.481499-4 1.164055+2 5.489499-4 1.293125+2 5.498832-4 1.454794+2 5.511248-4 1.687081+2 5.525134-4 1.967589+2 5.539050-4 2.267162+2 5.554000-4 2.605181+2 5.565866-4 2.882407+2 5.576000-4 3.123633+2 5.588398-4 3.422508+2 5.602683-4 3.769695+2 5.609500-4 3.935759+2 5.619522-4 4.179690+2 5.630141-4 4.437294+2 5.646071-4 4.820503+2 5.662000-4 5.197884+2 5.672180-4 5.434941+2 5.680734-4 5.631097+2 5.696000-4 5.972891+2 5.708003-4 6.232837+2 5.722500-4 6.534617+2 5.738266-4 6.845359+2 5.755545-4 7.162364+2 5.780000-4 7.564580+2 5.798164-4 7.826520+2 5.818602-4 8.084188+2 5.835101-4 8.265142+2 5.851750-4 8.425328+2 5.876789-4 8.628779+2 5.900069-4 8.783392+2 5.932371-4 8.952838+2 5.978293-4 9.124139+2 6.030947-4 9.251404+2 6.094692-4 9.342750+2 6.169947-4 9.389823+2 6.286914-4 9.386967+2 6.500000-4 9.365597+2 6.726691-4 9.418529+2 6.888505-4 9.475221+2 7.053404-4 9.503335+2 7.185711-4 9.484094+2 7.301188-4 9.418806+2 7.386751-4 9.324331+2 7.450970-4 9.237781+2 7.498392-4 9.201447+2 7.534024-4 9.219661+2 7.564528-4 9.281343+2 7.596657-4 9.396538+2 7.624007-4 9.529822+2 7.722248-4 1.008957+3 7.772123-4 1.031046+3 7.831831-4 1.048530+3 7.900514-4 1.060310+3 8.018856-4 1.076746+3 8.075000-4 1.089787+3 8.245830-4 1.144476+3 8.324575-4 1.163414+3 8.439584-4 1.182443+3 8.575671-4 1.198057+3 8.738051-4 1.211660+3 9.029710-4 1.227447+3 9.225925-4 1.246873+3 9.326240-4 1.258417+3 9.577174-4 1.293084+3 9.717198-4 1.306653+3 1.012581-3 1.333153+3 1.056589-3 1.351402+3 1.088421-3 1.360921+3 1.121988-3 1.367939+3 1.191411-3 1.373798+3 1.294333-3 1.372615+3 1.411014-3 1.362306+3 1.513561-3 1.345382+3 1.688501-3 1.310947+3 1.838786-3 1.275907+3 2.014014-3 1.233205+3 2.217038-3 1.181861+3 2.300780-3 1.160925+3 2.526388-3 1.102506+3 2.638086-3 1.074114+3 2.880997-3 1.010293+3 3.018174-3 9.745239+2 3.156452-3 9.364311+2 3.280278-3 9.015015+2 3.383630-3 8.711214+2 3.482772-3 8.405511+2 3.575671-3 8.103943+2 3.651389-3 7.841941+2 3.718076-3 7.592999+2 3.777713-3 7.347877+2 3.830414-3 7.109438+2 3.876196-3 6.879437+2 3.916685-3 6.650617+2 3.948359-3 6.447047+2 3.977555-3 6.229843+2 4.001980-3 6.014912+2 4.020590-3 5.823623+2 4.035035-3 5.657293+2 4.060716-3 5.335682+2 4.081104-3 5.091889+2 4.094124-3 4.966429+2 4.106503-3 4.884292+2 4.117078-3 4.850075+2 4.125424-3 4.848735+2 4.133822-3 4.870390+2 4.142458-3 4.915378+2 4.153481-3 5.001863+2 4.166205-3 5.132195+2 4.199327-3 5.523440+2 4.206919-3 5.606805+2 4.218761-3 5.723882+2 4.232245-3 5.834562+2 4.248728-3 5.935372+2 4.267450-3 6.006679+2 4.285420-3 6.038725+2 4.318025-3 6.040018+2 4.340480-3 6.036905+2 4.361903-3 6.066990+2 4.380585-3 6.137395+2 4.390411-3 6.192626+2 4.414290-3 6.370635+2 4.453496-3 6.716972+2 4.469904-3 6.849419+2 4.487481-3 6.971437+2 4.506625-3 7.078556+2 4.529129-3 7.172160+2 4.551268-3 7.235414+2 4.592223-3 7.301689+2 4.631434-3 7.355453+2 4.664984-3 7.445604+2 4.691255-3 7.557362+2 4.753264-3 7.882931+2 4.776239-3 7.989783+2 4.799085-3 8.079830+2 4.852055-3 8.235458+2 4.891861-3 8.320757+2 4.983143-3 8.461168+2 5.085390-3 8.559753+2 5.240527-3 8.635349+2 5.382233-3 8.651349+2 5.610341-3 8.607037+2 5.855770-3 8.503597+2 6.143904-3 8.329336+2 6.507849-3 8.070779+2 6.948243-3 7.726152+2 7.496329-3 7.293340+2 8.274847-3 6.706935+2 9.137345-3 6.114809+2 1.022890-2 5.463783+2 1.160927-2 4.779146+2 1.318727-2 4.144187+2 1.466920-2 3.652939+2 1.611134-2 3.247526+2 1.747833-2 2.914735+2 1.883993-2 2.624598+2 2.040820-2 2.332876+2 2.205926-2 2.067363+2 2.367567-2 1.840884+2 2.511886-2 1.660737+2 2.623510-2 1.532000+2 2.716235-2 1.429020+2 2.789881-2 1.347433+2 2.847807-2 1.281033+2 2.873611-2 1.249862+2 2.897457-2 1.219500+2 2.916318-2 1.193843+2 2.933710-2 1.168165+2 2.948315-2 1.144350+2 2.960541-2 1.122233+2 2.975924-2 1.091008+2 3.004127-2 1.026867+2 3.020012-2 9.943598+1 3.031154-2 9.779965+1 3.041401-2 9.698071+1 3.050145-2 9.686583+1 3.061359-2 9.747706+1 3.074918-2 9.911970+1 3.107699-2 1.044889+2 3.124323-2 1.067470+2 3.133548-2 1.077380+2 3.144692-2 1.087012+2 3.168600-2 1.100854+2 3.198895-2 1.109750+2 3.230383-2 1.113255+2 3.274769-2 1.112672+2 3.330576-2 1.106321+2 3.427678-2 1.087026+2 3.553631-2 1.053893+2 3.706716-2 1.008882+2 3.888265-2 9.543446+1 4.156195-2 8.766417+1 4.423495-2 8.046740+1 4.842372-2 7.055731+1 5.301977-2 6.141607+1 5.758604-2 5.381164+1 6.374600-2 4.543529+1 7.360168-2 3.546527+1 9.011460-2 2.477734+1 1.139680-1 1.626074+1 1.404429-1 1.109260+1 1.827623-1 6.798087+0 2.242189-1 4.616999+0 2.951209-1 2.721408+0 4.365158-1 1.270053+0 6.611690-1 5.615317-1 1.120601+0 1.973548-1 2.567148+0 3.779107-2 7.752663+0 4.148201-3 2.341267+1 4.548960-4 7.070513+1 4.987902-5 2.135261+2 5.469134-6 6.448384+2 5.996787-7 1.995262+3 6.263548-8 6.309573+3 6.263548-9 1.995262+4 6.26355-10 6.309573+4 6.26355-11 1.000000+5 2.49356-11 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.248100-6 1.258900-6 1.978000-6 1.584900-6 3.135000-6 1.995300-6 4.968600-6 2.511900-6 7.874600-6 3.162300-6 1.248000-5 3.981100-6 1.978000-5 5.011900-6 3.134900-5 6.309600-6 4.968500-5 7.943300-6 7.874400-5 1.000000-5 1.248000-4 1.258900-5 1.977900-4 1.584900-5 3.134700-4 1.995300-5 4.968100-4 2.511900-5 7.873700-4 3.162300-5 1.247700-3 3.981100-5 1.976800-3 5.011900-5 3.131900-3 6.309600-5 4.962300-3 7.943300-5 7.862400-3 1.000000-4 1.244800-2 1.258900-4 1.970700-2 1.584900-4 3.115900-2 1.995300-4 4.923900-2 2.511900-4 7.765300-2 3.162300-4 1.221400-1 3.981100-4 1.912800-1 5.011900-4 2.973700-1 6.309600-4 4.564200-1 7.943300-4 6.888700-1 1.000000-3 1.017200+0 1.258900-3 1.462000+0 1.584900-3 2.039200+0 1.995300-3 2.760700+0 2.511900-3 3.640100+0 3.162300-3 4.675000+0 3.981100-3 5.855100+0 5.011900-3 7.184900+0 6.309600-3 8.680600+0 7.943300-3 1.036300+1 1.000000-2 1.221200+1 1.258900-2 1.416000+1 1.584900-2 1.602900+1 1.995300-2 1.776600+1 2.511900-2 1.933600+1 3.162300-2 2.068900+1 3.981100-2 2.176000+1 5.011900-2 2.250700+1 6.309600-2 2.289400+1 7.943300-2 2.288100+1 1.000000-1 2.251400+1 1.258900-1 2.183700+1 1.584900-1 2.091400+1 1.995300-1 1.980300+1 2.511900-1 1.856000+1 3.162300-1 1.723700+1 3.981100-1 1.588400+1 5.011900-1 1.453600+1 6.309600-1 1.321500+1 7.943300-1 1.193600+1 1.000000+0 1.071700+1 1.258900+0 9.559100+0 1.584900+0 8.472500+0 1.995300+0 7.460600+0 2.511900+0 6.527700+0 3.162300+0 5.676200+0 3.981100+0 4.906600+0 5.011900+0 4.217500+0 6.309600+0 3.606600+0 7.943300+0 3.069100+0 1.000000+1 2.600200+0 1.258900+1 2.194100+0 1.584900+1 1.844600+0 1.995300+1 1.545700+0 2.511900+1 1.291300+0 3.162300+1 1.075900+0 3.981100+1 8.942200-1 5.011900+1 7.415800-1 6.309600+1 6.137600-1 7.943300+1 5.070500-1 1.000000+2 4.182000-1 1.258900+2 3.443900-1 1.584900+2 2.832200-1 1.995300+2 2.326200-1 2.511900+2 1.908300-1 3.162300+2 1.563800-1 3.981100+2 1.280300-1 5.011900+2 1.047100-1 6.309600+2 8.556700-2 7.943300+2 6.986600-2 1.000000+3 5.700200-2 1.258900+3 4.647300-2 1.584900+3 3.786300-2 1.995300+3 3.082900-2 2.511900+3 2.508600-2 3.162300+3 2.040100-2 3.981100+3 1.658200-2 5.011900+3 1.347100-2 6.309600+3 1.093800-2 7.943300+3 8.876700-3 1.000000+4 7.200800-3 1.258900+4 5.838800-3 1.584900+4 4.732400-3 1.995300+4 3.834200-3 2.511900+4 3.105200-3 3.162300+4 2.513900-3 3.981100+4 2.034400-3 5.011900+4 1.645900-3 6.309600+4 1.331100-3 7.943300+4 1.076100-3 1.000000+5 8.697500-4 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159547-4 3.981072-4 3.976752-4 5.011872-4 5.005045-4 6.309573-4 6.298779-4 7.943282-4 7.926328-4 1.000000-3 9.973373-4 1.258925-3 1.254748-3 1.584893-3 1.578378-3 1.995262-3 1.985087-3 2.511886-3 2.496050-3 3.162278-3 3.137618-3 3.981072-3 3.942708-3 5.011872-3 4.952165-3 6.309573-3 6.216536-3 7.943282-3 7.798134-3 1.000000-2 9.773316-3 1.258925-2 1.223804-2 1.584893-2 1.530716-2 1.995262-2 1.912048-2 2.511886-2 2.384468-2 3.162278-2 2.967809-2 3.981072-2 3.685723-2 5.011872-2 4.566133-2 6.309573-2 5.641507-2 7.943282-2 6.950683-2 1.000000-1 8.535640-2 1.258925-1 1.044986-1 1.584893-1 1.274910-1 1.995262-1 1.550249-1 2.511886-1 1.878721-1 3.162278-1 2.269516-1 3.981072-1 2.732725-1 5.011872-1 3.279972-1 6.309573-1 3.925111-1 7.943282-1 4.686283-1 1.000000+0 5.579508-1 1.258925+0 6.633790-1 1.584893+0 7.876214-1 1.995262+0 9.347474-1 2.511886+0 1.109268+0 3.162278+0 1.316999+0 3.981072+0 1.564931+0 5.011872+0 1.861755+0 6.309573+0 2.217948+0 7.943282+0 2.646428+0 1.000000+1 3.163054+0 1.258925+1 3.787112+0 1.584893+1 4.542260+0 1.995262+1 5.457380+0 2.511886+1 6.568104+0 3.162278+1 7.918167+0 3.981072+1 9.560805+0 5.011872+1 1.156147+1 6.309573+1 1.400109+1 7.943282+1 1.697869+1 1.000000+2 2.061606+1 1.258925+2 2.506331+1 1.584893+2 3.050489+1 1.995262+2 3.716855+1 2.511886+2 4.533345+1 3.162278+2 5.534604+1 3.981072+2 6.763042+1 5.011872+2 8.271376+1 6.309573+2 1.012429+2 7.943282+2 1.240187+2 1.000000+3 1.520269+2 1.258925+3 1.864922+2 1.584893+3 2.289178+2 1.995262+3 2.811691+2 2.511886+3 3.455622+2 3.162278+3 4.249381+2 3.981072+3 5.228230+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739864-9 3.981072-5 4.342005-9 5.011872-5 6.881256-9 6.309573-5 1.090565-8 7.943282-5 1.728332-8 1.000000-4 2.738538-8 1.258925-4 4.339561-8 1.584893-4 6.874404-8 1.995262-4 1.089069-7 2.511886-4 1.724765-7 3.162278-4 2.730263-7 3.981072-4 4.320007-7 5.011872-4 6.827238-7 6.309573-4 1.079436-6 7.943282-4 1.695404-6 1.000000-3 2.662749-6 1.258925-3 4.177042-6 1.584893-3 6.515272-6 1.995262-3 1.017532-5 2.511886-3 1.583635-5 3.162278-3 2.465975-5 3.981072-3 3.836409-5 5.011872-3 5.970756-5 6.309573-3 9.303790-5 7.943282-3 1.451480-4 1.000000-2 2.266842-4 1.258925-2 3.512157-4 1.584893-2 5.417747-4 1.995262-2 8.321415-4 2.511886-2 1.274181-3 3.162278-2 1.944689-3 3.981072-2 2.953486-3 5.011872-2 4.457396-3 6.309573-2 6.680660-3 7.943282-2 9.925996-3 1.000000-1 1.464360-2 1.258925-1 2.139396-2 1.584893-1 3.099830-2 1.995262-1 4.450134-2 2.511886-1 6.331651-2 3.162278-1 8.927614-2 3.981072-1 1.248347-1 5.011872-1 1.731901-1 6.309573-1 2.384463-1 7.943282-1 3.256999-1 1.000000+0 4.420492-1 1.258925+0 5.955464-1 1.584893+0 7.972718-1 1.995262+0 1.060515+0 2.511886+0 1.402618+0 3.162278+0 1.845279+0 3.981072+0 2.416141+0 5.011872+0 3.150117+0 6.309573+0 4.091626+0 7.943282+0 5.296854+0 1.000000+1 6.836946+0 1.258925+1 8.802142+0 1.584893+1 1.130667+1 1.995262+1 1.449524+1 2.511886+1 1.855076+1 3.162278+1 2.370461+1 3.981072+1 3.024991+1 5.011872+1 3.855725+1 6.309573+1 4.909464+1 7.943282+1 6.245413+1 1.000000+2 7.938394+1 1.258925+2 1.008292+2 1.584893+2 1.279844+2 1.995262+2 1.623577+2 2.511886+2 2.058552+2 3.162278+2 2.608817+2 3.981072+2 3.304768+2 5.011872+2 4.184735+2 6.309573+2 5.297144+2 7.943282+2 6.703096+2 1.000000+3 8.479731+2 1.258925+3 1.072433+3 1.584893+3 1.355975+3 1.995262+3 1.714093+3 2.511886+3 2.166324+3 3.162278+3 2.737340+3 3.981072+3 3.458249+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 7.020000-6 4.350820+7 7.300000-6 4.088240+7 7.600000-6 3.810560+7 7.730000-6 3.691510+7 7.730000-6 5.765200+7 7.852356-6 5.613315+7 8.035261-6 5.387221+7 8.222426-6 5.163960+7 8.317638-6 5.050031+7 8.609938-6 4.713324+7 8.912509-6 4.378730+7 9.015711-6 4.269416+7 9.350000-6 3.928300+7 9.500000-6 3.783991+7 9.772372-6 3.531742+7 1.000000-5 3.333897+7 1.023293-5 3.141115+7 1.059254-5 2.867231+7 1.071519-5 2.778805+7 1.122018-5 2.445725+7 1.180000-5 2.113768+7 1.188502-5 2.069527+7 1.250000-5 1.777659+7 1.273503-5 1.679100+7 1.333521-5 1.454189+7 1.364583-5 1.351960+7 1.428894-5 1.165744+7 1.479108-5 1.041776+7 1.548817-5 8.949015+6 1.592000-5 8.165442+6 1.592000-5 8.556886+6 1.635000-5 7.792320+6 1.650000-5 7.546553+6 1.670000-5 7.231827+6 1.698244-5 6.815502+6 1.710000-5 6.650555+6 1.750000-5 6.126375+6 1.790000-5 5.655066+6 1.830000-5 5.230236+6 1.870000-5 4.846489+6 1.920000-5 4.417476+6 2.018366-5 3.710343+6 2.040000-5 3.575186+6 2.075800-5 3.365754+6 2.100000-5 3.233459+6 2.120000-5 3.129376+6 2.140000-5 3.029780+6 2.162719-5 2.921793+6 2.180000-5 2.843134+6 2.200000-5 2.755661+6 2.215000-5 2.692454+6 2.230000-5 2.631216+6 2.245000-5 2.571873+6 2.260000-5 2.514355+6 2.277000-5 2.451288+6 2.293000-5 2.393907+6 2.308000-5 2.341786+6 2.322000-5 2.294549+6 2.340000-5 2.235737+6 2.360000-5 2.172823+6 2.377000-5 2.121272+6 2.400000-5 2.054210+6 2.426610-5 1.980278+6 2.460000-5 1.892706+6 2.483133-5 1.835240+6 2.500000-5 1.795238+6 2.560000-5 1.662703+6 2.660725-5 1.470037+6 2.670000-5 1.454040+6 2.730000-5 1.356435+6 2.800000-5 1.254376+6 2.851018-5 1.187074+6 2.920000-5 1.105307+6 2.985383-5 1.035524+6 3.060000-5 9.639178+5 3.126079-5 9.067877+5 3.198895-5 8.498301+5 3.235937-5 8.233303+5 3.273407-5 7.981027+5 3.370000-5 7.384911+5 3.470000-5 6.841808+5 3.548134-5 6.462001+5 3.570000-5 6.364247+5 3.689100-5 5.871359+5 3.801894-5 5.462558+5 3.845918-5 5.315455+5 3.935501-5 5.046070+5 4.056000-5 4.718829+5 4.056000-5 2.253913+6 4.073803-5 2.262210+6 4.090000-5 2.269783+6 4.120975-5 2.292244+6 4.150000-5 2.321622+6 4.180000-5 2.361548+6 4.187000-5 2.373079+6 4.187000-5 3.499043+6 4.216965-5 3.565459+6 4.220000-5 3.573414+6 4.225000-5 3.586547+6 4.255000-5 3.672835+6 4.265795-5 3.708052+6 4.285000-5 3.775797+6 4.305000-5 3.855322+6 4.330000-5 3.962190+6 4.335000-5 3.986065+6 4.365158-5 4.139465+6 4.370000-5 4.165560+6 4.400000-5 4.344136+6 4.415704-5 4.444370+6 4.440000-5 4.613872+6 4.450000-5 4.687834+6 4.470000-5 4.847228+6 4.500000-5 5.103564+6 4.510000-5 5.196510+6 4.518559-5 5.279519+6 4.550000-5 5.595900+6 4.555000-5 5.649229+6 4.600000-5 6.173304+6 4.610000-5 6.298988+6 4.650000-5 6.844871+6 4.677351-5 7.252097+6 4.680000-5 7.292779+6 4.700000-5 7.615743+6 4.720000-5 7.957505+6 4.750000-5 8.497998+6 4.786301-5 9.208897+6 4.820000-5 9.925769+6 4.900000-5 1.186903+7 4.954502-5 1.340101+7 5.040000-5 1.612850+7 5.080000-5 1.753866+7 5.110000-5 1.866207+7 5.150000-5 2.021720+7 5.170000-5 2.102868+7 5.230000-5 2.355749+7 5.285000-5 2.597453+7 5.300000-5 2.664591+7 5.330000-5 2.800914+7 5.350000-5 2.891874+7 5.370318-5 2.984872+7 5.400000-5 3.119581+7 5.415200-5 3.190661+7 5.420000-5 3.212787+7 5.465000-5 3.416213+7 5.500000-5 3.567897+7 5.520000-5 3.657226+7 5.580000-5 3.905948+7 5.630000-5 4.097774+7 5.688529-5 4.300169+7 5.690000-5 4.305362+7 5.745000-5 4.470842+7 5.745900-5 4.473295+7 5.754399-5 4.494650+7 5.800000-5 4.610600+7 5.801400-5 4.613904+7 5.821032-5 4.654456+7 5.850000-5 4.714775+7 5.900000-5 4.796392+7 5.956621-5 4.860447+7 5.970000-5 4.872783+7 6.015000-5 4.900528+7 6.025596-5 4.904965+7 6.030000-5 4.906808+7 6.070000-5 4.912921+7 6.095369-5 4.912072+7 6.130000-5 4.902076+7 6.165950-5 4.884929+7 6.200000-5 4.860896+7 6.237348-5 4.827542+7 6.280000-5 4.780145+7 6.309573-5 4.742730+7 6.330000-5 4.717169+7 6.350000-5 4.688430+7 6.400000-5 4.610934+7 6.420000-5 4.576995+7 6.500000-5 4.434822+7 6.606934-5 4.222106+7 6.610000-5 4.215860+7 6.650000-5 4.129130+7 6.690000-5 4.044711+7 6.730000-5 3.958668+7 6.800000-5 3.804354+7 6.839116-5 3.717791+7 6.850000-5 3.694144+7 6.918310-5 3.543026+7 6.950000-5 3.473020+7 7.000000-5 3.361496+7 7.030000-5 3.296690+7 7.079458-5 3.189770+7 7.161434-5 3.014420+7 7.230000-5 2.872446+7 7.300000-5 2.730839+7 7.350000-5 2.632082+7 7.413102-5 2.509842+7 7.450000-5 2.441482+7 7.500000-5 2.350213+7 7.585776-5 2.198349+7 7.673615-5 2.051526+7 7.762471-5 1.910769+7 7.852356-5 1.776954+7 7.900000-5 1.708898+7 7.950000-5 1.640714+7 8.035261-5 1.529595+7 8.150000-5 1.390867+7 8.230000-5 1.301231+7 8.317638-5 1.208841+7 8.400000-5 1.128850+7 8.413951-5 1.115714+7 8.500000-5 1.038481+7 8.650000-5 9.161121+6 8.738900-5 8.506707+6 8.800000-5 8.082165+6 8.810489-5 8.011762+6 8.912509-5 7.362487+6 9.015711-5 6.760282+6 9.225714-5 5.687829+6 9.332543-5 5.213723+6 9.549926-5 4.372293+6 9.660509-5 4.001574+6 9.800000-5 3.579321+6 9.900000-5 3.308186+6 1.000000-4 3.058257+6 1.023293-4 2.550328+6 1.040000-4 2.243430+6 1.047129-4 2.124361+6 1.060000-4 1.927622+6 1.071519-4 1.768123+6 1.081200-4 1.646012+6 1.081200-4 2.132580+6 1.083927-4 2.100409+6 1.092000-4 2.009226+6 1.103000-4 1.891964+6 1.109175-4 1.829441+6 1.118000-4 1.745262+6 1.140000-4 1.556196+6 1.143000-4 1.532588+6 1.161449-4 1.400456+6 1.170000-4 1.345675+6 1.170200-4 1.344459+6 1.170200-4 1.553753+6 1.174898-4 1.527378+6 1.178000-4 1.510357+6 1.185000-4 1.472150+6 1.188502-4 1.453256+6 1.190000-4 1.445317+6 1.192000-4 1.434850+6 1.193600-4 1.426350+6 1.202264-4 1.383610+6 1.213000-4 1.332524+6 1.214000-4 1.328066+6 1.216186-4 1.318199+6 1.230269-4 1.258555+6 1.233000-4 1.247862+6 1.235000-4 1.240007+6 1.245000-4 1.202660+6 1.250000-4 1.185293+6 1.260000-4 1.152489+6 1.265000-4 1.137259+6 1.270000-4 1.122727+6 1.273503-4 1.112706+6 1.275000-4 1.108472+6 1.280000-4 1.095128+6 1.290000-4 1.069964+6 1.295000-4 1.058304+6 1.303167-4 1.040253+6 1.307000-4 1.032376+6 1.318000-4 1.011042+6 1.318257-4 1.010578+6 1.322000-4 1.004022+6 1.330000-4 9.908364+5 1.333521-4 9.854657+5 1.337300-4 9.797598+5 1.345000-4 9.688137+5 1.350000-4 9.622842+5 1.358000-4 9.524977+5 1.364583-4 9.451430+5 1.365000-4 9.447066+5 1.373000-4 9.369312+5 1.380384-4 9.305260+5 1.390000-4 9.229299+5 1.396368-4 9.185146+5 1.400000-4 9.162366+5 1.407000-4 9.118784+5 1.412538-4 9.088702+5 1.423000-4 9.045970+5 1.430000-4 9.022237+5 1.440000-4 8.993949+5 1.445700-4 8.981654+5 1.462177-4 8.955103+5 1.465000-4 8.954481+5 1.485000-4 8.960433+5 1.490000-4 8.964378+5 1.500000-4 8.977763+5 1.510000-4 8.994128+5 1.513561-4 9.001423+5 1.520000-4 9.014962+5 1.540000-4 9.076101+5 1.566751-4 9.177812+5 1.582700-4 9.242011+5 1.582700-4 1.077922+6 1.584893-4 1.078920+6 1.635000-4 1.106289+6 1.640590-4 1.109595+6 1.659587-4 1.121317+6 1.678804-4 1.132944+6 1.690000-4 1.140028+6 1.705000-4 1.149911+6 1.720000-4 1.159674+6 1.737801-4 1.170724+6 1.757924-4 1.183070+6 1.760000-4 1.184384+6 1.778279-4 1.195614+6 1.780000-4 1.196602+6 1.820000-4 1.219158+6 1.835000-4 1.227077+6 1.840772-4 1.229902+6 1.862087-4 1.240619+6 1.865000-4 1.242096+6 1.880000-4 1.249438+6 1.883649-4 1.251137+6 1.927525-4 1.269888+6 1.930000-4 1.270921+6 1.950000-4 1.278760+6 1.972423-4 1.286672+6 1.995262-4 1.294924+6 2.000000-4 1.296498+6 2.018366-4 1.301875+6 2.041738-4 1.308627+6 2.050000-4 1.310954+6 2.065380-4 1.315308+6 2.137962-4 1.330689+6 2.162719-4 1.334207+6 2.187762-4 1.337791+6 2.220000-4 1.342466+6 2.238721-4 1.343951+6 2.290868-4 1.347601+6 2.300000-4 1.348253+6 2.371374-4 1.349257+6 2.388200-4 1.349477+6 2.426610-4 1.347892+6 2.454709-4 1.346316+6 2.483133-4 1.344758+6 2.570396-4 1.335965+6 2.580000-4 1.335029+6 2.630268-4 1.327438+6 2.691535-4 1.317982+6 2.730000-4 1.310498+6 2.754229-4 1.305752+6 2.800000-4 1.296964+6 2.818383-4 1.293439+6 2.851018-4 1.285878+6 2.884032-4 1.278128+6 2.951209-4 1.262762+6 2.985383-4 1.253835+6 3.019952-4 1.244893+6 3.090295-4 1.227020+6 3.100000-4 1.224607+6 3.235937-4 1.186704+6 3.273407-4 1.176739+6 3.280000-4 1.174906+6 3.350000-4 1.154651+6 3.388442-4 1.143535+6 3.467369-4 1.121418+6 3.507519-4 1.109544+6 3.630781-4 1.074384+6 3.672823-4 1.062623+6 3.801894-4 1.025626+6 3.890451-4 1.001521+6 4.000000-4 9.712547+5 4.027170-4 9.638877+5 4.120975-4 9.392452+5 4.168694-4 9.264047+5 4.365158-4 8.764974+5 4.415704-4 8.640436+5 4.518559-4 8.389085+5 4.623810-4 8.142613+5 4.700000-4 7.968859+5 4.731513-4 7.896925+5 4.897788-4 7.531362+5 4.954502-4 7.412682+5 5.000000-4 7.319753+5 5.011872-4 7.295412+5 5.069907-4 7.177859+5 5.248075-4 6.827971+5 5.308844-4 6.714171+5 5.370318-4 6.600588+5 5.378500-4 6.585651+5 5.378500-4 6.783991+5 5.406000-4 6.997619+5 5.419000-4 7.196211+5 5.430000-4 7.439565+5 5.432503-4 7.506186+5 5.440000-4 7.738715+5 5.449500-4 8.108790+5 5.455500-4 8.393489+5 5.463000-4 8.811724+5 5.470000-4 9.272852+5 5.477900-4 9.884542+5 5.477900-4 1.075640+6 5.478000-4 1.076637+6 5.486000-4 1.161620+6 5.493000-4 1.246934+6 5.500000-4 1.343147+6 5.507000-4 1.449252+6 5.509600-4 1.491531+6 5.511000-4 1.523848+6 5.528000-4 1.765487+6 5.545000-4 2.009856+6 5.552000-4 2.126517+6 5.554000-4 2.159947+6 5.574000-4 2.424885+6 5.576000-4 2.452186+6 5.587400-4 2.589411+6 5.590000-4 2.622865+6 5.594000-4 2.672007+6 5.608000-4 2.854156+6 5.611000-4 2.890372+6 5.631000-4 3.099990+6 5.633000-4 3.117249+6 5.660000-4 3.324677+6 5.662000-4 3.337060+6 5.665000-4 3.362225+6 5.670000-4 3.442049+6 5.688529-4 3.615752+6 5.692000-4 3.650159+6 5.696000-4 3.684547+6 5.720000-4 3.878402+6 5.725000-4 3.915166+6 5.754399-4 4.082815+6 5.770000-4 4.175296+6 5.775000-4 4.195527+6 5.780000-4 4.206184+6 5.821032-4 4.274131+6 5.827000-4 4.284184+6 5.843000-4 4.299159+6 5.860500-4 4.309542+6 5.888437-4 4.297769+6 5.930000-4 4.280588+6 5.956621-4 4.242613+6 6.025596-4 4.133614+6 6.095369-4 4.015641+6 6.130000-4 3.958964+6 6.150000-4 3.912995+6 6.237348-4 3.755619+6 6.309573-4 3.632017+6 6.320000-4 3.615357+6 6.382635-4 3.524451+6 6.456542-4 3.421125+6 6.500000-4 3.365892+6 6.606934-4 3.241076+6 6.650000-4 3.195273+6 6.839116-4 3.014405+6 6.850000-4 3.004442+6 6.918310-4 2.943550+6 7.079458-4 2.806986+6 7.161434-4 2.741114+6 7.300000-4 2.633414+6 7.413102-4 2.549568+6 7.500000-4 2.487667+6 7.616900-4 2.407818+6 7.616900-4 2.711682+6 7.673615-4 2.674383+6 7.820000-4 2.581879+6 7.852356-4 2.561878+6 7.943282-4 2.507017+6 8.000000-4 2.473752+6 8.035261-4 2.452928+6 8.091600-4 2.419525+6 8.091600-4 2.496479+6 8.093500-4 2.497911+6 8.096000-4 2.500425+6 8.099000-4 2.503173+6 8.102000-4 2.505596+6 8.105000-4 2.507703+6 8.107500-4 2.509199+6 8.111000-4 2.510919+6 8.115000-4 2.512407+6 8.118500-4 2.513231+6 8.128305-4 2.509690+6 8.137000-4 2.506590+6 8.147000-4 2.502737+6 8.150000-4 2.501338+6 8.169000-4 2.492215+6 8.230000-4 2.460463+6 8.253400-4 2.447997+6 8.280000-4 2.433745+6 8.317638-4 2.413074+6 8.330000-4 2.406342+6 8.413951-4 2.360325+6 8.511380-4 2.307938+6 8.550000-4 2.287862+6 8.609938-4 2.256908+6 8.650000-4 2.236331+6 8.709636-4 2.206088+6 8.810489-4 2.155485+6 8.850000-4 2.136119+6 9.015711-4 2.056592+6 9.120108-4 2.008891+6 9.225714-4 1.962161+6 9.289800-4 1.934283+6 9.289800-4 2.017060+6 9.332543-4 1.998461+6 9.549926-4 1.905639+6 9.885531-4 1.774805+6 1.000000-3 1.733347+6 1.011579-3 1.692441+6 1.015000-3 1.680362+6 1.023293-3 1.651522+6 1.035142-3 1.611622+6 1.047129-3 1.572607+6 1.050000-3 1.563465+6 1.083927-3 1.461047+6 1.110000-3 1.388153+6 1.122018-3 1.355965+6 1.135011-3 1.322291+6 1.148154-3 1.289476+6 1.161449-3 1.257485+6 1.174898-3 1.226339+6 1.188502-3 1.195832+6 1.190000-3 1.192508+6 1.202264-3 1.165409+6 1.230269-3 1.106724+6 1.244515-3 1.078560+6 1.258925-3 1.051139+6 1.273503-3 1.024360+6 1.288250-3 9.980753+5 1.300000-3 9.778365+5 1.303167-3 9.724368+5 1.318257-3 9.472305+5 1.333521-3 9.227217+5 1.350000-3 8.972460+5 1.364583-3 8.753983+5 1.380384-3 8.525955+5 1.412538-3 8.088390+5 1.428894-3 7.878384+5 1.450000-3 7.618106+5 1.462177-3 7.472697+5 1.479108-3 7.274012+5 1.500000-3 7.039507+5 1.513561-3 6.893269+5 1.531087-3 6.710759+5 1.566751-3 6.359908+5 1.570000-3 6.329280+5 1.584893-3 6.191590+5 1.603245-3 6.026964+5 1.621810-3 5.865762+5 1.650000-3 5.632410+5 1.678804-3 5.406385+5 1.698244-3 5.261112+5 1.730000-3 5.035965+5 1.737801-3 4.982662+5 1.757924-3 4.848793+5 1.778279-3 4.718515+5 1.800000-3 4.584074+5 1.862087-3 4.225013+5 1.905461-3 3.997234+5 1.927525-3 3.888245+5 1.972423-3 3.679178+5 2.000000-3 3.558261+5 2.018366-3 3.480047+5 2.041738-3 3.384069+5 2.065380-3 3.290637+5 2.113489-3 3.111760+5 2.137962-3 3.026001+5 2.150000-3 2.985051+5 2.162719-3 2.942651+5 2.187762-3 2.861713+5 2.238721-3 2.705507+5 2.264644-3 2.630281+5 2.290868-3 2.556611+5 2.300000-3 2.531650+5 2.344229-3 2.415594+5 2.371374-3 2.348072+5 2.398833-3 2.282487+5 2.426610-3 2.218830+5 2.454709-3 2.156692+5 2.483133-3 2.096324+5 2.511886-3 2.037527+5 2.540973-3 1.979937+5 2.600160-3 1.869793+5 2.630268-3 1.817121+5 2.691535-3 1.716342+5 2.754229-3 1.620767+5 2.786121-3 1.574934+5 2.800000-3 1.555574+5 2.818383-3 1.530230+5 2.917427-3 1.402919+5 2.985383-3 1.324185+5 3.000000-3 1.308090+5 3.054921-3 1.249718+5 3.090295-3 1.213965+5 3.126079-3 1.179248+5 3.162278-3 1.145556+5 3.198895-3 1.112599+5 3.235937-3 1.080637+5 3.273407-3 1.049560+5 3.349654-3 9.901581+4 3.467369-3 9.070105+4 3.507519-3 8.808053+4 3.548134-3 8.553159+4 3.589219-3 8.305092+4 3.630781-3 8.064427+4 3.672823-3 7.831085+4 3.758374-3 7.384088+4 3.801894-3 7.169287+4 3.845918-3 6.960930+4 3.890451-3 6.758090+4 3.935501-3 6.561189+4 4.000000-3 6.292335+4 4.120975-3 5.827574+4 4.130500-3 5.793077+4 4.130500-3 1.788678+5 4.168694-3 1.760316+5 4.230000-3 1.716239+5 4.265795-3 1.679592+5 4.315191-3 1.630802+5 4.365158-3 1.583383+5 4.386000-3 1.564158+5 4.386000-3 2.125090+5 4.415704-3 2.095117+5 4.417000-3 2.093797+5 4.466836-3 2.044034+5 4.490000-3 2.021549+5 4.500000-3 2.010542+5 4.520000-3 1.988764+5 4.570882-3 1.930880+5 4.580000-3 1.920748+5 4.623810-3 1.874101+5 4.673700-3 1.822880+5 4.673700-3 2.098370+5 4.677351-3 2.094326+5 4.700000-3 2.069445+5 4.731513-3 2.035154+5 4.841724-3 1.921391+5 4.850000-3 1.913210+5 4.954502-3 1.815094+5 5.000000-3 1.773990+5 5.011872-3 1.763481+5 5.069907-3 1.713369+5 5.188000-3 1.616646+5 5.248075-3 1.570323+5 5.300000-3 1.531474+5 5.308844-3 1.524984+5 5.370318-3 1.480401+5 5.432503-3 1.437159+5 5.623413-3 1.315236+5 5.650000-3 1.299433+5 5.688529-3 1.276848+5 5.821032-3 1.203277+5 5.888437-3 1.167869+5 5.956621-3 1.133527+5 6.025596-3 1.100159+5 6.095369-3 1.067801+5 6.165950-3 1.036420+5 6.237348-3 1.005943+5 6.309573-3 9.762843+4 6.456542-3 9.196256+4 6.606934-3 8.659641+4 6.683439-3 8.403424+4 6.760830-3 8.154629+4 6.839116-3 7.913400+4 6.918310-3 7.679375+4 7.079458-3 7.231254+4 7.244360-3 6.810009+4 7.328245-3 6.608056+4 7.500000-3 6.219811+4 7.585776-3 6.036388+4 7.673615-3 5.856074+4 7.762471-3 5.681285+4 7.852356-3 5.511817+4 7.943282-3 5.347350+4 8.035261-3 5.187917+4 8.128305-3 5.033356+4 8.222426-3 4.882599+4 8.317638-3 4.734617+4 8.511380-3 4.452278+4 8.609938-3 4.317632+4 8.709636-3 4.186989+4 8.810489-3 4.060310+4 8.912509-3 3.936873+4 9.120108-3 3.701219+4 9.332543-3 3.480062+4 9.440609-3 3.374621+4 9.660509-3 3.173454+4 9.772372-3 3.076827+4 9.800000-3 3.053594+4 9.885531-3 2.982757+4 1.000000-2 2.891500+4 1.011579-2 2.803110+4 1.023293-2 2.717407+4 1.035142-2 2.634330+4 1.071519-2 2.400411+4 1.080000-2 2.350068+4 1.083927-2 2.327183+4 1.109175-2 2.185500+4 1.122018-2 2.117990+4 1.135011-2 2.052537+4 1.150000-2 1.980483+4 1.161449-2 1.927796+4 1.174898-2 1.868330+4 1.202264-2 1.755000+4 1.216186-2 1.700961+4 1.244515-2 1.597946+4 1.273503-2 1.500629+4 1.288250-2 1.454214+4 1.303167-2 1.409267+4 1.318257-2 1.365428+4 1.333521-2 1.322819+4 1.380384-2 1.202927+4 1.412538-2 1.129249+4 1.445440-2 1.060142+4 1.450000-2 1.051033+4 1.462177-2 1.027211+4 1.479108-2 9.951373+3 1.496236-2 9.640885+3 1.500000-2 9.574455+3 1.513561-2 9.339762+3 1.531087-2 9.048126+3 1.548817-2 8.765651+3 1.566751-2 8.490681+3 1.640590-2 7.476363+3 1.650000-2 7.358712+3 1.659587-2 7.241361+3 1.678804-2 7.013583+3 1.698244-2 6.793124+3 1.717908-2 6.579781+3 1.737801-2 6.372625+3 1.757924-2 6.172162+3 1.798871-2 5.790188+3 1.800000-2 5.780124+3 1.819701-2 5.607592+3 1.840772-2 5.430834+3 1.883649-2 5.094298+3 1.900000-2 4.973581+3 1.905461-2 4.934109+3 1.927525-2 4.777821+3 1.949845-2 4.626587+3 1.972423-2 4.480093+3 2.018366-2 4.201206+3 2.041738-2 4.068490+3 2.065380-2 3.939990+3 2.089296-2 3.815262+3 2.137962-2 3.576849+3 2.162719-2 3.463410+3 2.187762-2 3.353664+3 2.238721-2 3.144590+3 2.290868-2 2.947415+3 2.300000-2 2.914653+3 2.371374-2 2.674824+3 2.398833-2 2.589750+3 2.426610-2 2.507438+3 2.454709-2 2.427804+3 2.483133-2 2.350465+3 2.511886-2 2.275469+3 2.540973-2 2.202906+3 2.600160-2 2.064713+3 2.660725-2 1.934469+3 2.691535-2 1.872533+3 2.722701-2 1.812551+3 2.754229-2 1.754533+3 2.851018-2 1.591536+3 2.884032-2 1.540715+3 2.917427-2 1.491555+3 2.951209-2 1.443836+3 2.985383-2 1.397634+3 3.000000-2 1.378456+3 3.047900-2 1.317663+3 3.047900-2 8.081235+3 3.054921-2 8.036733+3 3.126079-2 7.604806+3 3.140000-2 7.524200+3 3.162278-2 7.380085+3 3.198895-2 7.151258+3 3.210000-2 7.083782+3 3.235937-2 6.940954+3 3.273407-2 6.741641+3 3.330000-2 6.455520+3 3.388442-2 6.163212+3 3.427678-2 5.977130+3 3.467369-2 5.796688+3 3.507519-2 5.621475+3 3.548134-2 5.451498+3 3.589219-2 5.286685+3 3.630781-2 5.129331+3 3.715352-2 4.828614+3 3.758374-2 4.684932+3 3.845918-2 4.410327+3 4.027170-2 3.908664+3 4.120975-2 3.673634+3 4.168694-2 3.561478+3 4.265795-2 3.347375+3 4.315191-2 3.245179+3 4.365158-2 3.146118+3 4.415704-2 3.050068+3 4.466836-2 2.956961+3 4.518559-2 2.866690+3 4.623810-2 2.694360+3 4.677351-2 2.610816+3 4.786301-2 2.451247+3 4.841724-2 2.375171+3 4.897788-2 2.301464+3 4.954502-2 2.230047+3 5.188000-2 1.965910+3 5.248075-2 1.904918+3 5.308844-2 1.845808+3 5.432503-2 1.733050+3 5.500000-2 1.675456+3 5.754399-2 1.480229+3 5.821032-2 1.434275+3 5.888437-2 1.388970+3 6.095369-2 1.261469+3 6.165950-2 1.221629+3 6.456542-2 1.074459+3 6.531306-2 1.040532+3 6.606934-2 1.007641+3 6.839116-2 9.150767+2 7.000000-2 8.576115+2 7.079458-2 8.310331+2 7.244360-2 7.793456+2 7.413102-2 7.302288+2 7.498942-2 7.068409+2 7.762471-2 6.410853+2 7.852356-2 6.205358+2 7.943282-2 6.006460+2 8.035261-2 5.813949+2 8.317638-2 5.272706+2 8.413951-2 5.103743+2 8.810489-2 4.480412+2 9.015711-2 4.197955+2 9.120108-2 4.063457+2 9.440609-2 3.681326+2 9.549926-2 3.561992+2 9.885531-2 3.226734+2 1.023293-1 2.923076+2 1.035142-1 2.828355+2 1.096478-1 2.398888+2 1.122019-1 2.245987+2 1.135011-1 2.173229+2 1.188502-1 1.905036+2 1.202264-1 1.843335+2 1.273503-1 1.562138+2 1.288250-1 1.511284+2 1.318257-1 1.414499+2 1.333521-1 1.368461+2 1.348963-1 1.323921+2 1.380384-1 1.239151+2 1.396368-1 1.198825+2 1.412538-1 1.159811+2 1.513561-1 9.510468+1 1.548817-1 8.901773+1 1.584893-1 8.332189+1 1.603245-1 8.061231+1 1.621810-1 7.799026+1 1.640590-1 7.545358+1 1.698244-1 6.832872+1 1.717908-1 6.610707+1 1.778279-1 5.986630+1 1.840772-1 5.421507+1 1.883649-1 5.074802+1 1.927525-1 4.750289+1 1.949845-1 4.595910+1 1.995262-1 4.302060+1 2.000000-1 4.272881+1 2.018366-1 4.162277+1 2.089296-1 3.773223+1 2.113489-1 3.651800+1 2.162719-1 3.420599+1 2.213095-1 3.204046+1 2.238721-1 3.101078+1 2.264644-1 3.001424+1 2.290868-1 2.904972+1 2.317395-1 2.811624+1 2.344229-1 2.721292+1 2.398833-1 2.549246+1 2.426610-1 2.467368+1 2.454709-1 2.388137+1 2.483133-1 2.311453+1 2.540973-1 2.167219+1 2.600160-1 2.032002+1 2.630268-1 1.967593+1 2.660725-1 1.905226+1 2.691535-1 1.844846+1 2.710800-1 1.808462+1 2.818383-1 1.622197+1 2.851018-1 1.570869+1 2.884032-1 1.521167+1 2.917427-1 1.473045+1 2.951209-1 1.426457+1 2.985383-1 1.382163+1 3.000000-1 1.363790+1 3.019952-1 1.339245+1 3.126079-1 1.218372+1 3.162278-1 1.180555+1 3.198895-1 1.143916+1 3.235937-1 1.108469+1 3.273407-1 1.074122+1 3.349654-1 1.008589+1 3.388442-1 9.773444+0 3.427678-1 9.470762+0 3.467369-1 9.182654+0 3.507519-1 8.903318+0 3.548134-1 8.632494+0 3.589219-1 8.369915+0 3.630781-1 8.115317+0 3.672823-1 7.868482+0 3.715352-1 7.629588+0 3.758374-1 7.397997+0 3.801894-1 7.173438+0 3.845918-1 6.955737+0 3.890451-1 6.744648+0 3.935501-1 6.543852+0 3.981072-1 6.349117+0 4.073803-1 5.976867+0 4.120975-1 5.799056+0 4.168694-1 5.626533+0 4.216965-1 5.459484+0 4.265795-1 5.297425+0 4.315191-1 5.140184+0 4.365158-1 4.987615+0 4.415705-1 4.842761+0 4.466836-1 4.702133+0 4.518559-1 4.565679+0 4.570882-1 4.433183+0 4.677351-1 4.179631+0 4.731513-1 4.058643+0 4.786301-1 3.941163+0 4.897788-1 3.716308+0 4.954502-1 3.611135+0 5.011872-1 3.508952+0 5.069907-1 3.409707+0 5.128614-1 3.313273+0 5.188000-1 3.219572+0 5.248075-1 3.128538+0 5.308844-1 3.040298+0 5.370318-1 2.954544+0 5.432503-1 2.871231+0 5.495409-1 2.792108+0 5.559043-1 2.715167+0 5.623413-1 2.640356+0 5.688529-1 2.567649+0 5.754399-1 2.496944+0 5.821032-1 2.428201+0 5.888437-1 2.361350+0 5.956621-1 2.296530+0 6.025596-1 2.233489+0 6.165950-1 2.115641+0 6.237348-1 2.059080+0 6.309573-1 2.004062+0 6.382635-1 1.950514+0 6.456542-1 1.898409+0 6.531306-1 1.847708+0 6.683439-1 1.750586+0 6.760830-1 1.705168+0 6.839117-1 1.660931+0 6.918310-1 1.617847+0 6.998420-1 1.575906+0 7.079458-1 1.535061+0 7.161434-1 1.495285+0 7.244360-1 1.456540+0 7.413102-1 1.382239+0 7.498942-1 1.347476+0 7.585776-1 1.313588+0 7.673615-1 1.280557+0 7.762471-1 1.248383+0 7.852356-1 1.217024+0 8.035261-1 1.156651+0 8.222427-1 1.099428+0 8.413951-1 1.046446+0 8.511380-1 1.020922+0 8.609938-1 9.960271-1 8.709636-1 9.717615-1 8.912509-1 9.249899-1 9.015711-1 9.025298-1 9.120108-1 8.812687-1 9.225714-1 8.605104-1 9.332543-1 8.402487-1 9.440609-1 8.204675-1 9.549926-1 8.011709-1 9.660509-1 7.823282-1 9.772372-1 7.639288-1 9.885531-1 7.460241-1 1.000000+0 7.290487-1 1.011579+0 7.124660-1 1.022000+0 6.980208-1 1.023293+0 6.962592-1 1.035142+0 6.804236-1 1.047129+0 6.649471-1 1.059254+0 6.498306-1 1.071519+0 6.350591-1 1.083927+0 6.206266-1 1.096478+0 6.065263-1 1.135011+0 5.661172-1 1.148154+0 5.532967-1 1.161449+0 5.411926-1 1.174898+0 5.293565-1 1.188600+0 5.177108-1 1.202264+0 5.064811-1 1.216186+0 4.954161-1 1.230269+0 4.845965-1 1.244515+0 4.740438-1 1.258925+0 4.637215-1 1.273503+0 4.538591-1 1.288250+0 4.442064-1 1.303167+0 4.347627-1 1.333521+0 4.164737-1 1.348963+0 4.076237-1 1.364583+0 3.989626-1 1.396368+0 3.821919-1 1.412538+0 3.740728-1 1.428894+0 3.661489-1 1.445440+0 3.586001-1 1.462177+0 3.512072-1 1.479108+0 3.439677-1 1.500000+0 3.353493-1 1.513561+0 3.299371-1 1.531087+0 3.231411-1 1.548817+0 3.164846-1 1.566751+0 3.099875-1 1.621810+0 2.918384-1 1.640590+0 2.860289-1 1.659587+0 2.803354-1 1.678804+0 2.747574-1 1.737801+0 2.586907-1 1.757924+0 2.535633-1 1.778279+0 2.486909-1 1.819701+0 2.392249-1 1.840772+0 2.346286-1 1.862087+0 2.301208-1 1.883649+0 2.256997-1 1.905461+0 2.213654-1 1.972423+0 2.088638-1 1.995262+0 2.048687-1 2.000000+0 2.040552-1 2.018366+0 2.010467-1 2.065380+0 1.936634-1 2.089296+0 1.900746-1 2.113489+0 1.865526-1 2.137962+0 1.830975-1 2.162719+0 1.797062-1 2.213095+0 1.731156-1 2.238721+0 1.699116-1 2.264644+0 1.667778-1 2.290868+0 1.637980-1 2.344229+0 1.579975-1 2.371374+0 1.551751-1 2.398833+0 1.524033-1 2.426610+0 1.496823-1 2.454709+0 1.470099-1 2.511886+0 1.418109-1 2.540973+0 1.392806-1 2.570396+0 1.368040-1 2.600160+0 1.344464-1 2.660725+0 1.298525-1 2.691535+0 1.276150-1 2.722701+0 1.254163-1 2.754229+0 1.232558-1 2.786121+0 1.211332-1 2.818383+0 1.190470-1 2.884032+0 1.149845-1 2.917427+0 1.130056-1 2.951209+0 1.110670-1 2.985383+0 1.092170-1 3.054921+0 1.056091-1 3.126079+0 1.021207-1 3.162278+0 1.004201-1 3.198895+0 9.874817-2 3.235937+0 9.710445-2 3.273407+0 9.548812-2 3.349654+0 9.233771-2 3.388442+0 9.080165-2 3.427678+0 8.929611-2 3.467369+0 8.786049-2 3.548134+0 8.505815-2 3.630781+0 8.234553-2 3.672823+0 8.102194-2 3.715352+0 7.971991-2 3.758374+0 7.843909-2 3.801894+0 7.717886-2 3.890451+0 7.472035-2 3.935501+0 7.352060-2 4.000000+0 7.186459-2 4.027170+0 7.120580-2 4.120975+0 6.900989-2 4.265795+0 6.584273-2 4.315191+0 6.481971-2 4.365158+0 6.381282-2 4.415704+0 6.282179-2 4.466836+0 6.184613-2 4.570882+0 5.994125-2 4.623810+0 5.901093-2 4.677351+0 5.809797-2 4.731513+0 5.722496-2 4.841724+0 5.551813-2 5.011872+0 5.305318-2 5.069907+0 5.225614-2 5.128614+0 5.147124-2 5.188000+0 5.069831-2 5.308844+0 4.918707-2 5.432503+0 4.772176-2 5.495409+0 4.700555-2 5.559043+0 4.630228-2 5.623413+0 4.562902-2 5.754399+0 4.431172-2 6.000000+0 4.201732-2 6.025596+0 4.179041-2 6.095369+0 4.118299-2 6.237348+0 3.999474-2 6.382635+0 3.884076-2 6.531306+0 3.772074-2 6.606934+0 3.717290-2 6.683439+0 3.663463-2 6.760830+0 3.611868-2 6.918310+0 3.510849-2 7.244360+0 3.317231-2 7.328245+0 3.270531-2 7.585776+0 3.134365-2 7.762471+0 3.046752-2 7.943282+0 2.961637-2 8.035261+0 2.919975-2 8.128305+0 2.879017-2 8.222427+0 2.839724-2 8.413951+0 2.762740-2 8.810489+0 2.614993-2 8.912509+0 2.579316-2 9.332543+0 2.441437-2 9.549926+0 2.375287-2 9.772372+0 2.310962-2 9.885531+0 2.279456-2 1.000000+1 2.248462-2 1.011579+1 2.217890-2 1.023293+1 2.188474-2 1.047129+1 2.130808-2 1.083927+1 2.047158-2 1.096478+1 2.020015-2 1.109175+1 1.993232-2 1.188502+1 1.839861-2 1.216186+1 1.791406-2 1.244515+1 1.744252-2 1.258925+1 1.721204-2 1.273503+1 1.698460-2 1.288250+1 1.676548-2 1.303167+1 1.654920-2 1.333521+1 1.612501-2 1.348963+1 1.591701-2 1.364583+1 1.571172-2 1.400000+1 1.526430-2 1.566751+1 1.344570-2 1.621810+1 1.293224-2 1.678804+1 1.243862-2 1.698244+1 1.227871-2 1.717908+1 1.212087-2 1.737801+1 1.196876-2 1.757924+1 1.181857-2 1.778279+1 1.167031-2 1.800000+1 1.151597-2 2.018366+1 1.015737-2 2.089296+1 9.779929-3 2.162719+1 9.416659-3 2.187762+1 9.298818-3 2.200000+1 9.242255-3 2.238721+1 9.070419-3 2.264644+1 8.958793-3 2.317395+1 8.739674-3 2.371374+1 8.525919-3 2.851018+1 6.993917-3 2.951209+1 6.738939-3 3.000000+1 6.621208-3 3.019952+1 6.574201-3 3.054921+1 6.493509-3 3.090295+1 6.415234-3 3.126079+1 6.337902-3 3.162278+1 6.261510-3 3.235937+1 6.111498-3 3.273407+1 6.037846-3 3.349654+1 5.893195-3 4.120975+1 4.737856-3 4.365158+1 4.459202-3 4.466836+1 4.352417-3 4.518559+1 4.299988-3 4.570882+1 4.248275-3 4.623810+1 4.197951-3 4.677351+1 4.148224-3 4.731513+1 4.099084-3 4.786301+1 4.050533-3 4.954502+1 3.908315-3 5.011872+1 3.862028-3 5.128614+1 3.771092-3 6.382635+1 3.007249-3 6.918310+1 2.766652-3 7.161434+1 2.669549-3 7.328245+1 2.606714-3 7.413102+1 2.575894-3 7.585776+1 2.516059-3 7.762471+1 2.457615-3 7.852356+1 2.428905-3 7.943282+1 2.400530-3 8.317638+1 2.290321-3 8.511380+1 2.237130-3 8.810489+1 2.159650-3 1.096478+2 1.727597-3 1.202264+2 1.572626-3 1.244515+2 1.518173-3 1.273503+2 1.482924-3 1.288250+2 1.465620-3 1.303167+2 1.448520-3 1.333521+2 1.415160-3 1.396368+2 1.350728-3 1.428894+2 1.319620-3 1.445440+2 1.304336-3 1.462177+2 1.289230-3 1.621810+2 1.160912-3 1.698244+2 1.108060-3 1.757924+2 1.070007-3 2.187762+2 8.575724-4 2.398833+2 7.812698-4 2.483133+2 7.544435-4 2.540973+2 7.370728-4 2.570396+2 7.285431-4 2.600160+2 7.201121-4 2.660725+2 7.036291-4 2.786121+2 6.717863-4 2.851018+2 6.564095-4 2.884032+2 6.488535-4 2.917427+2 6.413849-4 3.235937+2 5.779213-4 3.388442+2 5.517695-4 3.507519+2 5.329352-4 4.365158+2 4.277111-4 4.786301+2 3.898790-4 4.954502+2 3.765722-4 5.069907+2 3.679543-4 5.128614+2 3.637211-4 5.188000+2 3.595367-4 1.059254+3 1.758781-4 1.109175+3 1.679490-4 1.135011+3 1.641196-4 1.148154+3 1.622377-4 1.161449+3 1.603775-4 1.288250+3 1.445666-4 1.348963+3 1.380494-4 1.396368+3 1.333551-4 3.467369+3 5.362360-5 3.801894+3 4.889786-5 3.935501+3 4.723517-5 4.027170+3 4.615825-5 4.073803+3 4.562910-5 4.120975+3 4.510602-5 1.000000+5 1.858026-6 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 7.020000-6 7.020000-6 7.730000-6 7.020000-6 7.730000-6 7.275381-6 1.333521-5 7.304550-6 1.592000-5 7.307878-6 1.592000-5 7.701849-6 1.790000-5 7.542763-6 1.920000-5 7.466887-6 2.120000-5 7.398036-6 2.308000-5 7.389249-6 2.500000-5 7.437664-6 2.670000-5 7.527334-6 2.851018-5 7.669060-6 3.060000-5 7.883453-6 3.273407-5 8.149063-6 3.570000-5 8.571020-6 4.056000-5 9.312620-6 4.056000-5 2.146029-5 4.187000-5 2.186118-5 4.187000-5 2.271902-5 4.610000-5 2.379071-5 4.820000-5 2.414847-5 5.080000-5 2.438516-5 5.500000-5 2.452204-5 6.850000-5 2.454674-5 8.650000-5 2.441369-5 9.800000-5 2.417390-5 1.060000-4 2.386798-5 1.081200-4 2.375970-5 1.081200-4 2.949113-5 1.118000-4 3.054003-5 1.170200-4 3.185997-5 1.170200-4 3.414022-5 1.193600-4 3.486146-5 1.230269-4 3.572054-5 1.270000-4 3.638260-5 1.307000-4 3.676840-5 1.350000-4 3.694932-5 1.400000-4 3.685596-5 1.465000-4 3.641815-5 1.582700-4 3.530901-5 1.582700-4 4.035535-5 1.720000-4 3.921369-5 1.950000-4 3.761095-5 2.065380-4 3.697475-5 2.220000-4 3.635666-5 2.426610-4 3.583578-5 2.691535-4 3.540174-5 3.019952-4 3.511153-5 3.507519-4 3.496997-5 4.168694-4 3.501187-5 5.378500-4 3.541297-5 5.378500-4 3.632086-5 5.406000-4 3.747188-5 5.419000-4 3.837707-5 5.432503-4 3.964098-5 5.440000-4 4.050456-5 5.449500-4 4.175872-5 5.463000-4 4.381983-5 5.477900-4 4.636582-5 5.477900-4 4.796440-5 5.500000-4 5.173407-5 5.509600-4 5.323193-5 5.511000-4 5.351713-5 5.528000-4 5.533562-5 5.554000-4 5.742114-5 5.576000-4 5.853274-5 5.611000-4 5.977227-5 5.633000-4 6.027551-5 5.696000-4 6.127957-5 5.754399-4 6.183771-5 5.827000-4 6.212928-5 5.956621-4 6.224363-5 6.650000-4 6.185812-5 7.616900-4 6.172219-5 7.616900-4 6.726206-5 8.091600-4 6.784258-5 8.091600-4 6.924504-5 8.118500-4 6.985150-5 8.253400-4 7.025816-5 9.289800-4 7.139228-5 9.289800-4 7.445530-5 1.135011-3 7.688320-5 1.428894-3 7.983383-5 1.778279-3 8.278507-5 2.238721-3 8.594575-5 2.800000-3 8.905449-5 3.467369-3 9.201592-5 4.130500-3 9.440194-5 4.130500-3 1.318715-4 4.265795-3 1.323688-4 4.386000-3 1.324955-4 4.386000-3 1.390533-4 4.673700-3 1.394624-4 4.673700-3 1.459267-4 6.606934-3 1.486989-4 9.772372-3 1.519012-4 1.445440-2 1.551671-4 2.089296-2 1.582410-4 3.000000-2 1.611670-4 3.047900-2 1.612873-4 3.047900-2 1.646959-4 7.079458-2 1.655843-4 2.454709-1 1.661957-4 4.120975+0 1.664008-4 1.000000+5 1.664003-4 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.020000-6 0.0 4.187000-5 0.0 4.187000-5 1.09036-10 4.305000-5 1.06845-10 4.400000-5 1.05452-10 4.470000-5 1.04712-10 4.600000-5 1.04210-10 4.650000-5 1.04235-10 4.750000-5 1.04721-10 4.900000-5 1.06393-10 5.040000-5 1.08510-10 5.170000-5 1.11136-10 5.330000-5 1.15057-10 5.754399-5 1.27056-10 5.956621-5 1.31909-10 6.070000-5 1.34066-10 6.200000-5 1.36065-10 6.350000-5 1.37825-10 6.650000-5 1.40222-10 6.918310-5 1.41635-10 7.161434-5 1.42608-10 7.585776-5 1.43724-10 8.150000-5 1.44413-10 8.650000-5 1.44452-10 9.549926-5 1.43512-10 1.023293-4 1.41840-10 1.071519-4 1.39693-10 1.081200-4 1.39115-10 1.081200-4 2.23335-10 1.109175-4 2.35654-10 1.143000-4 2.49171-10 1.170200-4 2.59246-10 1.170200-4 3.46030-10 1.185000-4 3.57016-10 1.193600-4 3.62561-10 1.214000-4 3.73352-10 1.235000-4 3.81954-10 1.260000-4 3.89858-10 1.280000-4 3.94482-10 1.307000-4 3.98510-10 1.337300-4 4.00064-10 1.365000-4 3.98980-10 1.400000-4 3.95042-10 1.440000-4 3.87955-10 1.520000-4 3.69587-10 1.582700-4 3.54941-10 1.582700-4 4.11320-10 1.659587-4 3.96936-10 1.737801-4 3.84679-10 1.840772-4 3.70627-10 1.950000-4 3.58152-10 2.050000-4 3.49073-10 2.162719-4 3.41184-10 2.290868-4 3.34692-10 2.454709-4 3.29090-10 2.691535-4 3.23769-10 2.951209-4 3.20584-10 3.280000-4 3.19388-10 3.801894-4 3.20337-10 4.168694-4 3.22139-10 5.069907-4 3.28884-10 5.378500-4 3.31600-10 5.378500-4 3.35657-10 5.406000-4 3.40953-10 5.419000-4 3.45063-10 5.432503-4 3.50771-10 5.449500-4 3.60320-10 5.470000-4 3.74826-10 5.477900-4 3.80986-10 5.477900-4 1.422181-8 5.486000-4 1.499300-8 5.500000-4 1.622383-8 5.509600-4 1.679462-8 5.511000-4 1.677846-8 5.528000-4 1.850347-8 5.545000-4 2.074504-8 5.554000-4 2.206803-8 5.574000-4 2.642892-8 5.576000-4 2.691889-8 5.587400-4 3.016371-8 5.590000-4 3.094346-8 5.608000-4 3.555202-8 5.611000-4 3.642521-8 5.631000-4 4.340496-8 5.633000-4 4.389759-8 5.660000-4 4.907270-8 5.662000-4 4.931814-8 5.665000-4 4.992013-8 5.670000-4 5.038956-8 5.692000-4 5.485948-8 5.696000-4 5.550286-8 5.720000-4 5.871837-8 5.725000-4 5.923489-8 5.770000-4 6.151008-8 5.775000-4 6.190720-8 5.827000-4 6.376774-8 5.843000-4 6.404954-8 5.860500-4 6.420624-8 5.930000-4 6.307783-8 6.025596-4 6.213004-8 6.130000-4 6.071340-8 6.150000-4 6.075329-8 6.320000-4 5.996795-8 6.650000-4 5.925792-8 7.300000-4 5.897458-8 7.616900-4 5.887395-8 7.616900-4 9.054090-8 8.035261-4 9.359744-8 8.091600-4 9.397646-8 8.091600-4 1.057277-7 8.105000-4 1.086597-7 8.115000-4 1.102937-7 8.118500-4 1.107440-7 8.150000-4 1.119857-7 8.230000-4 1.135456-7 8.330000-4 1.148247-7 8.709636-4 1.178680-7 9.289800-4 1.218813-7 9.289800-4 1.364861-7 1.050000-3 1.459066-7 1.244515-3 1.591426-7 1.380384-3 1.676481-7 1.621810-3 1.809573-7 1.800000-3 1.896752-7 2.065380-3 2.012005-7 2.344229-3 2.117532-7 2.691535-3 2.231451-7 3.090295-3 2.343070-7 3.507519-3 2.443246-7 3.935501-3 2.531361-7 4.130500-3 2.568247-7 4.130500-3 1.874848-4 4.230000-3 1.892640-4 4.386000-3 1.893277-4 4.386000-3 2.275994-4 4.520000-3 2.288614-4 4.673700-3 2.288736-4 4.673700-3 2.388090-4 5.956621-3 2.403741-4 9.120108-3 2.420758-4 1.757924-2 2.434540-4 3.047900-2 2.441556-4 3.047900-2 1.982107-2 3.388442-2 1.993311-2 4.518559-2 2.013657-2 6.531306-2 2.030002-2 1.035142-1 2.041860-2 2.162719-1 2.049345-2 1.333521+0 2.056375-2 1.000000+5 2.056307-2 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.020000-6 0.0 7.730000-6 7.100000-7 7.730000-6 4.546195-7 9.015711-6 1.728074-6 1.333521-5 6.030660-6 1.592000-5 8.612122-6 1.592000-5 8.218151-6 1.790000-5 1.035724-5 2.040000-5 1.298159-5 2.308000-5 1.569075-5 2.560000-5 1.813568-5 2.851018-5 2.084112-5 3.235937-5 2.426003-5 4.056000-5 3.124738-5 4.056000-5 1.909971-5 4.187000-5 2.000882-5 4.187000-5 1.915087-5 4.610000-5 2.230918-5 4.820000-5 2.405143-5 5.080000-5 2.641473-5 5.520000-5 3.067493-5 7.673615-5 5.222645-5 9.800000-5 7.382596-5 1.081200-4 8.436016-5 1.081200-4 7.862864-5 1.170200-4 8.515977-5 1.170200-4 8.287944-5 1.216186-4 8.619713-5 1.280000-4 9.148944-5 1.350000-4 9.805028-5 1.440000-4 1.073787-4 1.582700-4 1.229606-4 1.582700-4 1.179142-4 1.972423-4 1.597652-4 2.300000-4 1.938808-4 3.100000-4 2.749349-4 5.378500-4 5.024367-4 5.378500-4 5.015288-4 5.430000-4 5.036183-4 5.477900-4 5.014238-4 5.477900-4 4.998114-4 5.511000-4 4.975661-4 5.554000-4 4.979568-4 5.633000-4 5.029806-4 5.827000-4 5.205070-4 7.616900-4 6.999089-4 7.616900-4 6.943374-4 8.091600-4 7.412234-4 8.091600-4 7.398092-4 9.289800-4 8.574658-4 9.289800-4 8.543882-4 2.600160-3 2.511918-3 4.130500-3 4.035841-3 4.130500-3 3.811144-3 4.386000-3 4.064177-3 4.386000-3 4.019347-3 4.673700-3 4.305364-3 4.673700-3 4.288964-3 3.047900-2 3.007356-2 3.047900-2 1.049323-2 3.162278-2 1.158407-2 4.168694-2 2.143391-2 6.839116-2 4.790800-2 4.315191-1 4.108375-1 1.000000+5 9.999998+4 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 3.047900-2 6.763572+3 3.140000-2 6.313480+3 3.210000-2 5.946580+3 3.330000-2 5.430820+3 3.589219-2 4.458616+3 4.027170-2 3.312418+3 4.623810-2 2.292959+3 5.821032-2 1.227419+3 7.244360-2 6.695135+2 9.120108-2 3.500774+2 1.202264-1 1.591794+2 2.018366-1 3.602044+1 2.483133-1 2.001212+1 2.951209-1 1.235235+1 3.427678-1 8.203746+0 3.890451-1 5.843655+0 4.365158-1 4.322251+0 4.897788-1 3.221343+0 5.432503-1 2.489395+0 6.025596-1 1.936987+0 6.683439-1 1.518630+0 7.413102-1 1.199439+0 8.222427-1 9.543054-1 9.015711-1 7.836576-1 9.885531-1 6.479391-1 1.148154+0 4.806279-1 1.258925+0 4.028103-1 1.428894+0 3.180366-1 1.566751+0 2.692403-1 1.757924+0 2.202327-1 2.000000+0 1.772354-1 2.264644+0 1.448610-1 2.570396+0 1.188276-1 2.951209+0 9.647382-2 3.427678+0 7.756362-2 4.000000+0 6.242200-2 4.677351+0 5.046485-2 5.559043+0 4.021899-2 6.683439+0 3.182148-2 8.128305+0 2.500771-2 1.011579+1 1.926477-2 1.273503+1 1.475312-2 1.717908+1 1.052842-2 2.200000+1 8.028200-3 3.054921+1 5.640505-3 4.570882+1 3.690212-3 7.413102+1 2.237523-3 1.303167+2 1.258243-3 2.600160+2 6.255239-4 5.188000+2 3.123091-4 4.120975+3 3.918132-5 1.000000+5 1.614000-6 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 3.047900-2 1.653600-4 1.000000+5 1.653600-4 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.047900-2 2.363500-2 1.000000+5 2.363500-2 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.047900-2 6.678640-3 1.000000+5 9.999998+4 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 4.673700-3 2.754900+4 4.850000-3 2.583380+4 5.069907-3 2.412978+4 5.432503-3 2.145423+4 5.821032-3 1.912803+4 6.237348-3 1.690883+4 6.918310-3 1.397519+4 7.500000-3 1.207910+4 8.128305-3 1.035324+4 9.660509-3 7.401587+3 1.080000-2 5.903780+3 1.244515-2 4.406462+3 1.462177-2 3.122249+3 1.640590-2 2.426568+3 1.905461-2 1.735358+3 2.238721-2 1.197777+3 2.600160-2 8.418674+2 3.000000-2 5.966960+2 3.467369-2 4.182742+2 4.027170-2 2.876812+2 4.677351-2 1.965341+2 5.500000-2 1.291766+2 6.531306-2 8.212718+1 7.762471-2 5.172940+1 9.440609-2 3.040281+1 1.202264-1 1.562283+1 1.603245-1 7.018527+0 2.213095-1 2.857499+0 2.691535-1 1.666555+0 3.198895-1 1.043021+0 3.672823-1 7.216275-1 4.168694-1 5.183382-1 4.677351-1 3.862788-1 5.248075-1 2.899517-1 5.888437-1 2.193177-1 6.531306-1 1.718414-1 7.244360-1 1.355889-1 8.035261-1 1.077464-1 8.912509-1 8.620698-2 9.772372-1 7.120664-2 1.135011+0 5.277383-2 1.230269+0 4.516313-2 1.412538+0 3.486872-2 1.548817+0 2.949786-2 1.737801+0 2.411159-2 1.972423+0 1.946498-2 2.238721+0 1.583325-2 2.540973+0 1.297817-2 2.917427+0 1.052941-2 3.388442+0 8.460410-3 3.935501+0 6.849659-3 4.623810+0 5.498353-3 5.495409+0 4.379773-3 6.606934+0 3.463717-3 8.035261+0 2.720828-3 9.885531+0 2.123691-3 1.244515+1 1.625043-3 1.678804+1 1.158881-3 2.162719+1 8.774316-4 3.019952+1 6.126302-4 4.518559+1 4.007101-4 7.328245+1 2.429168-4 1.273503+2 1.381912-4 2.540973+2 6.868702-5 5.069907+2 3.429062-5 4.027170+3 4.301668-6 1.000000+5 1.731600-7 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 4.673700-3 1.887000-4 1.000000+5 1.887000-4 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 4.673700-3 3.045500-4 1.000000+5 3.045500-4 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 4.673700-3 4.180450-3 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 4.386000-3 5.609319+4 4.490000-3 5.501197+4 4.520000-3 5.428500+4 4.580000-3 5.240700+4 4.700000-3 4.917500+4 5.248075-3 3.701300+4 5.650000-3 3.040400+4 6.918310-3 1.744200+4 8.128305-3 1.111800+4 8.810489-3 8.841300+3 1.083927-2 4.833600+3 1.318257-2 2.694800+3 1.500000-2 1.819600+3 1.717908-2 1.199200+3 2.065380-2 6.745800+2 2.483133-2 3.760700+2 2.985383-2 2.079600+2 3.589219-2 1.142000+2 4.466836-2 5.561746+1 5.888437-2 2.222796+1 1.096478-1 2.779762+0 1.412538-1 1.199724+0 1.698244-1 6.556840-1 2.000000-1 3.862449-1 2.317395-1 2.414992-1 2.660725-1 1.566161-1 3.019952-1 1.060633-1 3.388442-1 7.491968-2 3.801894-1 5.329339-2 4.216965-1 3.948288-2 4.677351-1 2.944657-2 5.188000-1 2.211305-2 5.754399-1 1.672380-2 6.382635-1 1.274325-2 6.998420-1 1.007654-2 7.673615-1 8.028776-3 8.511380-1 6.264982-3 9.440609-1 4.911816-3 1.000000+0 4.316804-3 1.071519+0 3.727820-3 1.148154+0 3.241142-3 1.216186+0 2.901430-3 1.364583+0 2.348438-3 1.659587+0 1.660403-3 1.883649+0 1.335780-3 2.113489+0 1.103869-3 2.398833+0 9.018526-4 2.722701+0 7.421006-4 3.162278+0 5.941585-4 3.672823+0 4.793943-4 4.315191+0 3.835473-4 5.069907+0 3.091843-4 6.025596+0 2.472747-4 7.244360+0 1.962735-4 8.810489+0 1.547269-4 1.083927+1 1.211573-4 1.348963+1 9.420157-5 1.757924+1 6.997170-5 2.264644+1 5.304078-5 3.162278+1 3.707007-5 4.786301+1 2.398000-5 7.943282+1 1.421031-5 1.462177+2 7.633534-6 2.917427+2 3.797810-6 1.161449+3 9.490666-7 1.000000+5 1.100400-8 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 4.386000-3 1.573400-4 1.000000+5 1.573400-4 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 4.386000-3 3.343200-4 1.000000+5 3.343200-4 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 4.386000-3 3.894340-3 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 4.130500-3 1.209370+5 4.230000-3 1.171416+5 4.415704-3 1.049724+5 4.954502-3 7.743554+4 5.308844-3 6.410493+4 6.456542-3 3.698835+4 7.244360-3 2.662975+4 8.222426-3 1.848116+4 9.800000-3 1.096460+4 1.083927-2 8.092882+3 1.303167-2 4.597508+3 1.548817-2 2.677690+3 1.800000-2 1.660064+3 2.089296-2 1.026531+3 2.454709-2 6.060458+2 2.917427-2 3.419701+2 3.507519-2 1.842741+2 4.265795-2 9.477594+1 5.248075-2 4.652462+1 6.606934-2 2.095302+1 1.273503-1 2.130534+0 1.548817-1 1.084633+0 1.840772-1 6.022034-1 2.113489-1 3.785801-1 2.398833-1 2.490779-1 2.691535-1 1.713656-1 3.019952-1 1.187549-1 3.349654-1 8.596422-2 3.715352-1 6.268362-2 4.073803-1 4.765681-2 4.466836-1 3.647064-2 4.897788-1 2.810722-2 5.370318-1 2.182657-2 5.888437-1 1.707421-2 6.456542-1 1.345627-2 7.079458-1 1.068569-2 7.762471-1 8.550094-3 8.609938-1 6.710545-3 9.225714-1 5.735585-3 9.885531-1 4.935953-3 1.083927+0 4.082054-3 1.174898+0 3.477946-3 1.288250+0 2.919865-3 1.428894+0 2.415376-3 1.659587+0 1.852017-3 1.883649+0 1.490293-3 2.113489+0 1.231725-3 2.398833+0 1.006280-3 2.754229+0 8.136651-4 3.198895+0 6.517957-4 3.715352+0 5.262013-4 4.365158+0 4.212323-4 5.128614+0 3.397370-4 6.095369+0 2.718371-4 7.328245+0 2.158720-4 8.912509+0 1.702548-4 1.109175+1 1.315805-4 1.400000+1 1.007500-4 1.800000+1 7.604400-5 2.371374+1 5.628911-5 3.349654+1 3.890665-5 5.128614+1 2.489627-5 8.810489+1 1.425588-5 1.757924+2 7.064901-6 3.507519+2 3.519672-6 1.396368+3 8.801952-7 1.000000+5 1.227500-8 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 4.130500-3 1.498200-4 1.000000+5 1.498200-4 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 4.130500-3 2.771700-4 1.000000+5 2.771700-4 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 4.130500-3 3.703510-3 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 9.289800-4 8.277727+4 1.015000-3 7.635640+4 1.035142-3 7.474798+4 1.110000-3 6.847520+4 1.333521-3 5.361353+4 1.621810-3 4.037143+4 1.757924-3 3.566096+4 2.113489-3 2.658652+4 2.344229-3 2.237759+4 2.754229-3 1.699451+4 3.235937-3 1.277974+4 3.672823-3 1.015957+4 4.365158-3 7.369835+3 5.188000-3 5.299282+3 6.165950-3 3.777984+3 7.328245-3 2.671358+3 8.709636-3 1.873308+3 1.023293-2 1.334910+3 1.202264-2 9.440790+2 1.412538-2 6.626014+2 1.659587-2 4.615204+2 1.949845-2 3.190116+2 2.300000-2 2.167940+2 2.691535-2 1.489791+2 3.162278-2 1.006621+2 3.715352-2 6.749585+1 4.365158-2 4.492727+1 5.188000-2 2.882387+1 6.165950-2 1.835135+1 7.413102-2 1.124742+1 9.015711-2 6.633095+0 1.122019-1 3.643299+0 2.426610-1 4.304230-1 2.917427-1 2.601576-1 3.427678-1 1.686364-1 3.935501-1 1.171560-1 4.466836-1 8.453769-2 5.011872-1 6.328450-2 5.623413-1 4.773383-2 6.237348-1 3.729028-2 6.918310-1 2.933461-2 7.673615-1 2.323879-2 8.609938-1 1.808212-2 9.440609-1 1.489615-2 1.047129+0 1.207483-2 1.174898+0 9.612128-3 1.333521+0 7.561643-3 1.500000+0 6.088018-3 1.678804+0 4.987956-3 1.905461+0 4.018197-3 2.162719+0 3.261837-3 2.454709+0 2.668300-3 2.818383+0 2.160526-3 3.273407+0 1.732880-3 3.801894+0 1.400575-3 4.466836+0 1.122451-3 5.308844+0 8.927080-4 6.382635+0 7.049651-4 7.762471+0 5.529901-4 9.549926+0 4.310959-4 1.216186+1 3.251482-4 1.621810+1 2.347058-4 2.089296+1 1.775217-4 2.951209+1 1.223500-4 4.365158+1 8.096128-5 6.918310+1 5.022705-5 1.202264+2 2.855111-5 2.398833+2 1.418551-5 4.786301+2 7.080125-6 3.801894+3 8.879805-7 1.000000+5 3.374600-8 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 9.289800-4 1.460300-4 1.000000+5 1.460300-4 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 9.289800-4 4.777600-7 1.000000+5 4.777600-7 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 9.289800-4 7.824722-4 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 8.091600-4 7.695400+4 8.093500-4 7.950000+4 8.096000-4 8.347820+4 8.099000-4 8.798120+4 8.102000-4 9.215740+4 8.105000-4 9.601540+4 8.107500-4 9.896900+4 8.111000-4 1.027264+5 8.115000-4 1.065412+5 8.118500-4 1.093972+5 8.137000-4 1.134617+5 8.147000-4 1.153689+5 8.169000-4 1.177680+5 8.230000-4 1.214185+5 8.280000-4 1.233431+5 8.330000-4 1.242563+5 8.413951-4 1.246461+5 8.550000-4 1.242045+5 8.650000-4 1.233031+5 9.015711-4 1.192066+5 9.332543-4 1.162210+5 1.050000-3 1.028490+5 1.122018-3 9.536094+4 1.202264-3 8.754629+4 1.303167-3 7.863686+4 1.428894-3 6.894147+4 1.531087-3 6.198778+4 1.730000-3 5.088660+4 1.862087-3 4.491281+4 2.041738-3 3.809483+4 2.264644-3 3.145862+4 2.483133-3 2.633738+4 2.800000-3 2.071840+4 3.054921-3 1.730423+4 3.467369-3 1.320263+4 3.845918-3 1.050396+4 4.315191-3 8.088413+3 4.841724-3 6.179298+3 5.432503-3 4.687770+3 6.165950-3 3.431219+3 6.918310-3 2.565520+3 7.852356-3 1.849382+3 8.912509-3 1.322963+3 1.011579-2 9.392968+2 1.161449-2 6.411606+2 1.333521-2 4.340427+2 1.531087-2 2.915381+2 1.757924-2 1.943823+2 2.041738-2 1.243267+2 2.371374-2 7.890519+1 2.754229-2 4.972376+1 3.235937-2 3.001445+1 3.845918-2 1.734649+1 4.677351-2 9.245263+0 5.754399-2 4.710590+0 7.852356-2 1.696472+0 1.288250-1 3.319751-1 1.584893-1 1.687616-1 1.883649-1 9.666622-2 2.213095-1 5.785671-2 2.540973-1 3.751964-2 2.884032-1 2.539968-2 3.235937-1 1.793754-2 3.630781-1 1.275420-2 4.073803-1 9.132102-3 4.570882-1 6.586472-3 5.069907-1 4.943086-3 5.623413-1 3.736937-3 6.237348-1 2.846150-3 6.918310-1 2.184434-3 7.585776-1 1.738207-3 8.609938-1 1.278954-3 9.225714-1 1.088814-3 9.772372-1 9.578039-4 1.047129+0 8.277219-4 1.135011+0 7.026280-4 1.216186+0 6.143200-4 1.348963+0 5.067455-4 1.548817+0 3.958829-4 1.757924+0 3.173343-4 1.995262+0 2.562255-4 2.238721+0 2.124427-4 2.540973+0 1.741532-4 2.917427+0 1.413177-4 3.388442+0 1.135547-4 3.935501+0 9.193625-5 4.623810+0 7.379885-5 5.495409+0 5.878589-5 6.606934+0 4.648999-5 8.035261+0 3.651845-5 9.885531+0 2.850377-5 1.258925+1 2.152571-5 1.698244+1 1.535641-5 2.187762+1 1.163109-5 3.019952+1 8.222755-6 4.518559+1 5.378314-6 7.328245+1 3.260353-6 1.288250+2 1.833224-6 2.570396+2 9.112720-7 5.128614+2 4.549613-7 4.073803+3 5.707540-8 1.000000+5 2.324200-9 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 8.091600-4 1.133400-4 1.000000+5 1.133400-4 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 8.091600-4 4.752000-7 1.000000+5 4.752000-7 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 8.091600-4 6.953448-4 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 7.616900-4 3.038637+5 7.820000-4 3.041460+5 8.000000-4 3.028566+5 8.150000-4 3.008428+5 8.253400-4 2.977257+5 8.511380-4 2.880953+5 8.850000-4 2.778108+5 9.120108-4 2.681944+5 1.011579-3 2.363452+5 1.083927-3 2.158380+5 1.174898-3 1.928058+5 1.258925-3 1.740096+5 1.350000-3 1.563092+5 1.462177-3 1.370995+5 1.650000-3 1.115608+5 1.778279-3 9.755898+4 2.000000-3 7.825080+4 2.187762-3 6.576559+4 2.426610-3 5.336208+4 2.691535-3 4.303524+4 3.000000-3 3.408916+4 3.349654-3 2.671585+4 3.758374-3 2.054858+4 4.168694-3 1.612147+4 4.677351-3 1.222438+4 5.300000-3 8.978720+3 5.956621-3 6.679704+3 6.683439-3 4.957024+3 7.585776-3 3.543635+3 8.609938-3 2.513433+3 9.800000-3 1.755284+3 1.122018-2 1.195988+3 1.273503-2 8.289581+2 1.450000-2 5.653160+2 1.650000-2 3.835140+2 1.900000-2 2.492532+2 2.187762-2 1.607839+2 2.540973-2 1.001908+2 2.951209-2 6.196298+1 3.467369-2 3.664144+1 4.120975-2 2.070472+1 4.954502-2 1.117489+1 6.095369-2 5.533012+0 8.035261-2 2.147347+0 1.333521-1 3.757328-1 1.640590-1 1.853547-1 1.927525-1 1.076993-1 2.238721-1 6.551966-2 2.540973-1 4.333001-2 2.851018-1 2.995777-2 3.162278-1 2.163249-2 3.507519-1 1.572859-2 3.890451-1 1.152050-2 4.265795-1 8.793922-3 4.677351-1 6.757844-3 5.128614-1 5.230599-3 5.623413-1 4.079195-3 6.165950-1 3.205000-3 6.760830-1 2.537175-3 7.413102-1 2.023350-3 8.413951-1 1.497360-3 9.120108-1 1.244888-3 9.772372-1 1.070188-3 1.059254+0 9.049825-4 1.161449+0 7.524818-4 1.258925+0 6.449152-4 1.396368+0 5.327150-4 1.621810+0 4.080165-4 1.840772+0 3.278949-4 2.089296+0 2.655279-4 2.371374+0 2.167528-4 2.691535+0 1.782477-4 3.126079+0 1.426327-4 3.630781+0 1.150158-4 4.265795+0 9.196795-5 5.011872+0 7.409792-5 6.000000+0 5.868700-5 7.244360+0 4.633126-5 8.810489+0 3.652338-5 1.096478+1 2.821807-5 1.364583+1 2.194721-5 1.757924+1 1.651713-5 2.264644+1 1.252020-5 3.126079+1 8.857978-6 4.731513+1 5.728651-6 7.852356+1 3.394242-6 1.396368+2 1.888032-6 2.786121+2 9.390019-7 1.109175+3 2.346208-7 1.000000+5 2.597400-9 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 7.616900-4 1.111600-4 1.000000+5 1.111600-4 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 7.616900-4 3.414700-7 1.000000+5 3.414700-7 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 7.616900-4 6.501885-4 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 5.477900-4 8.718568+4 5.500000-4 1.244913+5 5.545000-4 2.392662+5 5.590000-4 4.688109+5 5.594000-4 4.935544+5 5.631000-4 7.803414+5 5.633000-4 7.936806+5 5.660000-4 9.472689+5 5.662000-4 9.555938+5 5.692000-4 1.163716+6 5.696000-4 1.188564+6 5.720000-4 1.324140+6 5.725000-4 1.348535+6 5.775000-4 1.510753+6 5.827000-4 1.589363+6 5.843000-4 1.602013+6 5.860500-4 1.609835+6 5.930000-4 1.570710+6 6.025596-4 1.493825+6 6.130000-4 1.397851+6 6.320000-4 1.260748+6 6.500000-4 1.165236+6 6.650000-4 1.100968+6 6.850000-4 1.032652+6 7.300000-4 9.029960+5 8.000000-4 7.417560+5 8.609938-4 6.297729+5 9.225714-4 5.367264+5 1.000000-3 4.420880+5 1.083927-3 3.614652+5 1.188502-3 2.851896+5 1.273503-3 2.371176+5 1.450000-3 1.659964+5 1.584893-3 1.291083+5 1.800000-3 8.930640+4 1.972423-3 6.813056+4 2.264644-3 4.484155+4 2.511886-3 3.252429+4 2.818383-3 2.261454+4 3.162278-3 1.559805+4 3.507519-3 1.110208+4 4.000000-3 7.155000+3 4.570882-3 4.539240+3 5.188000-3 2.924172+3 5.821032-3 1.947938+3 6.606934-3 1.237212+3 7.500000-3 7.796120+2 8.511380-3 4.881858+2 9.660509-3 3.033677+2 1.109175-2 1.791648+2 1.288250-2 1.004114+2 1.496236-2 5.580828+1 1.717908-2 3.223930+1 2.018366-2 1.687353+1 2.398833-2 8.361505+0 2.884032-2 3.922285+0 3.548134-2 1.660093+0 4.786301-2 4.748925-1 7.498942-2 7.245770-2 9.440609-2 2.779331-2 1.135011-1 1.300050-2 1.333521-1 6.733979-3 1.548817-1 3.682664-3 1.778279-1 2.125271-3 2.018366-1 1.293702-3 2.264644-1 8.299483-4 2.540973-1 5.363710-4 2.818383-1 3.645553-4 3.126079-1 2.494838-4 3.467369-1 1.719705-4 3.845918-1 1.194155-4 4.265795-1 8.354373-5 4.677351-1 6.122422-5 5.128614-1 4.517463-5 5.623413-1 3.357370-5 6.165950-1 2.514152-5 6.683439-1 1.964678-5 7.244360-1 1.545400-5 7.852356-1 1.224108-5 8.609938-1 9.409659-6 9.120108-1 8.040830-6 9.549926-1 7.133834-6 1.000000+0 6.369845-6 1.047129+0 5.729184-6 1.096478+0 5.188828-6 1.161449+0 4.621036-6 1.244515+0 4.055645-6 1.348963+0 3.511135-6 1.531087+0 2.824466-6 1.819701+0 2.091055-6 2.018366+0 1.756160-6 2.290868+0 1.430515-6 2.600160+0 1.174089-6 2.985383+0 9.537653-7 3.467369+0 7.672499-7 4.027170+0 6.218773-7 4.731513+0 4.997355-7 5.623413+0 3.984824-7 6.760830+0 3.154330-7 8.222427+0 2.479991-7 1.023293+1 1.911343-7 1.288250+1 1.464267-7 1.737801+1 1.045288-7 2.238721+1 7.921696-8 3.090295+1 5.603168-8 4.623810+1 3.666625-8 7.585776+1 2.197381-8 1.333521+2 1.236157-8 2.660725+2 6.146072-9 1.059254+3 1.535315-9 1.000000+5 1.62300-11 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 5.477900-4 6.608800-5 1.000000+5 6.608800-5 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 5.477900-4 1.711400-7 1.000000+5 1.711400-7 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 5.477900-4 4.815309-4 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 5.378500-4 1.983400+4 5.406000-4 4.617555+4 5.419000-4 6.836636+4 5.430000-4 9.466375+4 5.440000-4 1.263877+5 5.449500-4 1.651167+5 5.455500-4 1.946700+5 5.463000-4 2.378433+5 5.470000-4 2.852118+5 5.478000-4 3.486667+5 5.486000-4 4.230400+5 5.493000-4 4.977307+5 5.500000-4 5.819173+5 5.507000-4 6.758914+5 5.509600-4 7.133100+5 5.511000-4 7.429266+5 5.528000-4 9.466096+5 5.552000-4 1.233100+6 5.554000-4 1.258789+6 5.574000-4 1.431673+6 5.576000-4 1.448123+6 5.608000-4 1.648849+6 5.611000-4 1.663337+6 5.665000-4 1.778896+6 5.670000-4 1.826943+6 5.770000-4 2.089874+6 5.780000-4 2.097937+6 5.930000-4 2.143154+6 5.956621-4 2.131182+6 6.130000-4 2.023953+6 6.150000-4 1.996146+6 6.309573-4 1.851760+6 6.456542-4 1.740336+6 6.606934-4 1.647501+6 7.161434-4 1.387644+6 8.035261-4 1.080178+6 8.709636-4 8.994655+5 9.332543-4 7.640769+5 1.011579-3 6.271199+5 1.110000-3 4.952976+5 1.190000-3 4.128960+5 1.300000-3 3.248466+5 1.462177-3 2.343502+5 1.603245-3 1.800889+5 1.800000-3 1.284312+5 2.000000-3 9.371400+4 2.238721-3 6.644545+4 2.511886-3 4.639702+4 2.800000-3 3.284562+4 3.162278-3 2.212808+4 3.548134-3 1.510940+4 3.935501-3 1.065811+4 4.500000-3 6.730860+3 5.188000-3 4.092464+3 5.956621-3 2.501340+3 6.839116-3 1.515029+3 7.852356-3 9.093052+2 8.912509-3 5.651160+2 1.011579-2 3.486714+2 1.150000-2 2.122872+2 1.303167-2 1.300449+2 1.500000-2 7.441980+1 1.757924-2 3.931430+1 2.041738-2 2.136952+1 2.398833-2 1.099791+1 2.851018-2 5.355911+0 3.427678-2 2.467239+0 4.415704-2 8.421676-1 7.762471-2 7.605555-2 9.549926-2 3.161655-2 1.135011-1 1.531459-2 1.318257-1 8.228341-3 1.513561-1 4.672218-3 1.717908-1 2.802433-3 1.927525-1 1.773409-3 2.162719-1 1.130344-3 2.398833-1 7.590493-4 2.630268-1 5.362582-4 2.884032-1 3.814396-4 3.162278-1 2.732941-4 3.467369-1 1.973284-4 3.758374-1 1.493943-4 4.120975-1 1.095468-4 4.466836-1 8.410535-5 4.786301-1 6.748012-5 5.069907-1 5.645255-5 5.495409-1 4.435303-5 5.956621-1 3.511075-5 6.531306-1 2.706944-5 7.161434-1 2.102912-5 8.709636-1 1.250343-5 9.225714-1 1.080423-5 9.660509-1 9.664948-6 1.011579+0 8.696452-6 1.071519+0 7.676409-6 1.135011+0 6.819887-6 1.202264+0 6.096734-6 1.303167+0 5.254392-6 1.445440+0 4.374029-6 1.778279+0 3.047000-6 2.000000+0 2.498201-6 2.264644+0 2.041463-6 2.570396+0 1.674554-6 2.951209+0 1.359566-6 3.427678+0 1.093086-6 4.000000+0 8.797100-7 4.677351+0 7.111973-7 5.559043+0 5.668081-7 6.683439+0 4.484653-7 8.128305+0 3.524310-7 1.000000+1 2.752000-7 1.258925+1 2.106708-7 1.678804+1 1.522270-7 2.162719+1 1.152551-7 3.000000+1 8.104200-8 4.466836+1 5.327219-8 7.161434+1 3.267287-8 1.244515+2 1.858118-8 2.483133+2 9.234269-9 4.954502+2 4.609603-9 3.935501+3 5.78215-10 1.000000+5 2.27460-11 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 5.378500-4 6.646600-5 1.000000+5 6.646600-5 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 5.378500-4 4.70380-10 1.000000+5 4.70380-10 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 5.378500-4 4.713835-4 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.582700-4 1.537206+5 1.640590-4 1.562069+5 1.737801-4 1.616637+5 1.780000-4 1.631448+5 1.820000-4 1.636728+5 1.865000-4 1.633088+5 1.927525-4 1.615267+5 2.018366-4 1.575753+5 2.426610-4 1.403012+5 2.580000-4 1.341384+5 2.730000-4 1.278384+5 2.985383-4 1.173709+5 3.350000-4 1.043688+5 3.630781-4 9.554803+4 4.000000-4 8.517460+4 4.518559-4 7.312673+4 5.011872-4 6.380055+4 5.754399-4 5.265830+4 6.500000-4 4.415760+4 7.500000-4 3.559040+4 8.609938-4 2.870401+4 1.011579-3 2.214740+4 1.202264-3 1.662786+4 1.428894-3 1.238772+4 1.737801-3 8.801899+3 2.150000-3 6.017300+3 2.600160-3 4.254793+3 3.162278-3 2.957947+3 3.801894-3 2.086287+3 4.570882-3 1.460534+3 5.432503-3 1.038077+3 6.456542-3 7.326586+2 7.762471-3 5.013994+2 9.332543-3 3.403842+2 1.109175-2 2.350036+2 1.318257-2 1.609870+2 1.548817-2 1.122822+2 1.819701-2 7.775043+1 2.137962-2 5.344990+1 2.511886-2 3.647621+1 2.951209-2 2.471151+1 3.467369-2 1.661833+1 4.120975-2 1.077931+1 4.897788-2 6.937314+0 5.821032-2 4.427800+0 7.000000-2 2.719817+0 8.317638-2 1.712620+0 1.035142-1 9.433386-1 1.380384-1 4.264724-1 2.398833-1 9.228000-2 2.884032-1 5.576347-2 3.388442-1 3.614159-2 3.890451-1 2.510120-2 4.415705-1 1.810245-2 4.954502-1 1.354243-2 5.559043-1 1.020704-2 6.165950-1 7.967890-3 6.839117-1 6.263168-3 7.585776-1 4.957727-3 8.511380-1 3.854348-3 9.332543-1 3.172536-3 1.023293+0 2.629816-3 1.161449+0 2.044190-3 1.288250+0 1.677756-3 1.462177+0 1.326263-3 1.621810+0 1.101857-3 1.819701+0 9.031810-4 2.065380+0 7.310887-4 2.344229+0 5.963740-4 2.660725+0 4.901075-4 3.054921+0 3.986145-4 3.548134+0 3.210496-4 4.120975+0 2.605010-4 4.841724+0 2.095530-4 5.754399+0 1.672670-4 6.918310+0 1.325296-4 8.413951+0 1.042880-4 1.047129+1 8.044502-5 1.303167+1 6.248638-5 1.737801+1 4.519705-5 2.238721+1 3.425204-5 3.126079+1 2.393276-5 4.731513+1 1.547747-5 7.943282+1 9.062698-6 1.445440+2 4.925415-6 2.884032+2 2.450335-6 1.148154+3 6.123189-7 1.000000+5 7.017700-9 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.582700-4 7.069500-5 1.000000+5 7.069500-5 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.582700-4 7.50280-10 1.000000+5 7.50280-10 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.582700-4 8.757425-5 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.170200-4 2.092940+5 1.178000-4 2.121080+5 1.185000-4 2.134080+5 1.192000-4 2.137120+5 1.202264-4 2.126825+5 1.214000-4 2.100660+5 1.233000-4 2.041360+5 1.270000-4 1.911486+5 1.364583-4 1.622960+5 1.412538-4 1.505959+5 1.462177-4 1.405691+5 1.500000-4 1.343348+5 1.540000-4 1.289604+5 1.584893-4 1.242343+5 1.635000-4 1.202970+5 1.690000-4 1.172084+5 1.757924-4 1.146197+5 1.840772-4 1.125746+5 1.972423-4 1.105403+5 2.371374-4 1.064177+5 2.580000-4 1.039168+5 2.800000-4 1.007774+5 3.019952-4 9.728592+4 3.273407-4 9.302251+4 3.507519-4 8.891235+4 3.801894-4 8.369179+4 4.168694-4 7.746545+4 4.518559-4 7.191968+4 4.897788-4 6.630451+4 5.370318-4 5.996487+4 5.888437-4 5.388085+4 6.456542-4 4.806167+4 7.161434-4 4.193806+4 7.943282-4 3.632314+4 8.810489-4 3.122536+4 9.885531-4 2.619352+4 1.110000-3 2.176140+4 1.230269-3 1.834693+4 1.380384-3 1.505102+4 1.570000-3 1.196354+4 1.778279-3 9.504879+3 2.018366-3 7.465038+3 2.300000-3 5.771800+3 2.600160-3 4.499579+3 2.917427-3 3.538346+3 3.273407-3 2.764317+3 3.672823-3 2.145157+3 4.120975-3 1.653488+3 4.623810-3 1.265901+3 5.188000-3 9.626766+2 5.888437-3 7.068896+2 6.683439-3 5.151253+2 7.585776-3 3.726217+2 8.609938-3 2.676119+2 9.772372-3 1.908439+2 1.109175-2 1.351407+2 1.273503-2 9.201848+1 1.462177-2 6.216447+1 1.678804-2 4.167452+1 1.927525-2 2.773619+1 2.238721-2 1.770427+1 2.600160-2 1.121576+1 3.054921-2 6.807546+0 3.630781-2 3.954771+0 4.365158-2 2.198433+0 5.308844-2 1.169130+0 6.839116-2 5.116494-1 1.333521-1 5.709043-2 1.640590-1 2.909860-2 1.949845-1 1.670903-2 2.290868-1 1.002873-2 2.630268-1 6.520655-3 3.000000-1 4.359313-3 3.388442-1 3.024077-3 3.801894-1 2.154932-3 4.265795-1 1.546995-3 4.731513-1 1.155911-3 5.248075-1 8.698648-4 5.821032-1 6.594747-4 6.456542-1 5.036284-4 7.161434-1 3.875365-4 7.852356-1 3.090711-4 8.709636-1 2.406009-4 9.332543-1 2.050304-4 9.885531-1 1.805559-4 1.071519+0 1.525304-4 1.161449+0 1.297274-4 1.258925+0 1.112277-4 1.396368+0 9.198457-5 1.659587+0 6.773933-5 1.883649+0 5.450185-5 2.113489+0 4.503538-5 2.398833+0 3.678953-5 2.722701+0 3.027149-5 3.162278+0 2.423633-5 3.672823+0 1.955508-5 4.315191+0 1.564561-5 5.069907+0 1.261217-5 6.025596+0 1.008614-5 7.244360+0 8.006364-6 8.810489+0 6.311528-6 1.096478+1 4.876357-6 1.364583+1 3.792666-6 1.778279+1 2.818139-6 2.317395+1 2.110235-6 3.273407+1 1.457671-6 5.011872+1 9.323684-7 8.511380+1 5.400403-7 1.698244+2 2.675322-7 3.388442+2 1.332462-7 1.348963+3 3.331891-8 1.000000+5 4.48850-10 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.170200-4 4.878800-5 1.000000+5 4.878800-5 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.170200-4 9.03510-10 1.000000+5 9.03510-10 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.170200-4 6.823110-5 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.081200-4 4.865680+5 1.092000-4 4.881840+5 1.103000-4 4.869080+5 1.118000-4 4.820080+5 1.140000-4 4.712720+5 1.174898-4 4.519641+5 1.318257-4 3.808241+5 1.364583-4 3.635718+5 1.412538-4 3.493281+5 1.462177-4 3.381223+5 1.520000-4 3.287256+5 1.584893-4 3.214833+5 1.678804-4 3.145056+5 2.041738-4 2.964076+5 2.238721-4 2.864625+5 2.426610-4 2.760271+5 2.630268-4 2.639031+5 2.851018-4 2.505391+5 3.100000-4 2.357024+5 3.350000-4 2.212168+5 3.630781-4 2.056097+5 4.000000-4 1.867564+5 4.365158-4 1.701319+5 4.731513-4 1.551599+5 5.248075-4 1.366822+5 5.821032-4 1.195525+5 6.456542-4 1.037131+5 7.161434-4 8.933392+4 8.000000-4 7.561080+4 9.015711-4 6.260249+4 1.000000-3 5.281440+4 1.135011-3 4.255241+4 1.288250-3 3.399246+4 1.462177-3 2.693734+4 1.678804-3 2.071272+4 1.927525-3 1.578446+4 2.187762-3 1.220809+4 2.454709-3 9.603746+3 2.754229-3 7.507636+3 3.090295-3 5.831735+3 3.467369-3 4.501175+3 3.890451-3 3.449818+3 4.417000-3 2.553224+3 5.000000-3 1.888120+3 5.688529-3 1.367829+3 6.456542-3 9.891046+2 7.328245-3 7.098069+2 8.317638-3 5.056136+2 9.440609-3 3.575595+2 1.071519-2 2.510324+2 1.216186-2 1.749884+2 1.380384-2 1.211349+2 1.566751-2 8.328439+1 1.798871-2 5.492640+1 2.065380-2 3.595303+1 2.371374-2 2.336390+1 2.754229-2 1.453694+1 3.198895-2 8.978706+0 3.758374-2 5.303504+0 4.466836-2 2.993892+0 5.248075-2 1.744010+0 6.456542-2 8.630594-1 8.810489-2 2.975230-1 1.348963-1 6.882234-2 1.640590-1 3.536208-2 1.927525-1 2.057737-2 2.238721-1 1.253181-2 2.540973-1 8.295202-3 2.851018-1 5.739799-3 3.198895-1 4.001304-3 3.548134-1 2.912495-3 3.935501-1 2.135741-3 4.315191-1 1.632265-3 4.731513-1 1.255878-3 5.188000-1 9.731051-4 5.688529-1 7.595101-4 6.237348-1 5.972202-4 6.839117-1 4.731819-4 7.498942-1 3.777106-4 8.511380-1 2.799049-4 9.120108-1 2.391417-4 9.772372-1 2.056550-4 1.059254+0 1.739540-4 1.161449+0 1.446522-4 1.273503+0 1.213183-4 1.412538+0 1.002752-4 1.640590+0 7.684363-5 1.862087+0 6.179508-5 2.113489+0 5.007748-5 2.398833+0 4.090695-5 2.722701+0 3.366054-5 3.162278+0 2.695080-5 3.672823+0 2.174505-5 4.315191+0 1.739735-5 5.069907+0 1.402417-5 6.025596+0 1.121599-5 7.244360+0 8.903077-6 8.810489+0 7.018495-6 1.096478+1 5.422489-6 1.364583+1 4.217445-6 1.778279+1 3.133751-6 2.317395+1 2.346525-6 3.235937+1 1.640947-6 4.954502+1 1.049331-6 8.317638+1 6.148556-7 1.621810+2 3.117178-7 3.235937+2 1.552050-7 1.288250+3 3.880166-8 1.000000+5 4.99130-10 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.081200-4 4.888000-5 1.000000+5 4.888000-5 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.081200-4 5.08240-10 1.000000+5 5.08240-10 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.081200-4 5.923949-5 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 4.187000-5 1.125964+6 4.225000-5 1.146488+6 4.265795-5 1.177200+6 4.305000-5 1.215688+6 4.335000-5 1.251528+6 4.365158-5 1.294370+6 4.400000-5 1.351964+6 4.440000-5 1.429988+6 4.470000-5 1.497944+6 4.510000-5 1.602024+6 4.550000-5 1.722628+6 4.600000-5 1.898596+6 4.650000-5 2.105636+6 4.700000-5 2.347108+6 4.750000-5 2.626368+6 4.820000-5 3.087708+6 4.900000-5 3.726768+6 5.080000-5 5.660320+6 5.150000-5 6.610480+6 5.230000-5 7.826320+6 5.300000-5 8.992160+6 5.350000-5 9.871360+6 5.415200-5 1.105928+7 5.465000-5 1.198172+7 5.520000-5 1.299824+7 5.580000-5 1.408360+7 5.630000-5 1.494944+7 5.690000-5 1.592168+7 5.745900-5 1.674434+7 5.800000-5 1.745024+7 5.850000-5 1.801540+7 5.900000-5 1.849184+7 5.956621-5 1.892156+7 6.015000-5 1.924356+7 6.070000-5 1.943852+7 6.130000-5 1.953840+7 6.200000-5 1.951948+7 6.280000-5 1.934160+7 6.350000-5 1.907048+7 6.420000-5 1.871060+7 6.500000-5 1.821188+7 6.606934-5 1.743576+7 6.690000-5 1.677244+7 6.800000-5 1.584256+7 6.918310-5 1.480988+7 7.030000-5 1.382732+7 7.161434-5 1.268685+7 7.300000-5 1.152516+7 7.450000-5 1.033316+7 7.585776-5 9.324610+6 7.762471-5 8.121802+6 7.950000-5 6.985040+6 8.150000-5 5.927840+6 8.400000-5 4.814760+6 8.650000-5 3.905516+6 8.912509-5 3.135397+6 9.225714-5 2.416981+6 9.549926-5 1.851836+6 9.900000-5 1.394060+6 1.023293-4 1.067582+6 1.060000-4 7.983720+5 1.109175-4 5.450422+5 1.161449-4 3.691419+5 1.193600-4 2.945972+5 1.216186-4 2.538504+5 1.235000-4 2.259900+5 1.250000-4 2.072180+5 1.265000-4 1.911492+5 1.280000-4 1.774972+5 1.295000-4 1.660064+5 1.307000-4 1.582128+5 1.322000-4 1.500472+5 1.337300-4 1.433352+5 1.350000-4 1.388740+5 1.365000-4 1.347656+5 1.380384-4 1.317175+5 1.396368-4 1.296562+5 1.412538-4 1.285785+5 1.430000-4 1.284084+5 1.445700-4 1.290218+5 1.465000-4 1.306324+5 1.485000-4 1.331484+5 1.510000-4 1.372904+5 1.540000-4 1.434116+5 1.584893-4 1.542309+5 1.705000-4 1.875392+5 1.760000-4 2.030028+5 1.820000-4 2.191560+5 1.880000-4 2.341800+5 1.930000-4 2.456528+5 1.995262-4 2.590536+5 2.065380-4 2.714164+5 2.137962-4 2.820674+5 2.220000-4 2.916852+5 2.300000-4 2.988380+5 2.388200-4 3.044723+5 2.483133-4 3.082628+5 2.580000-4 3.101020+5 2.691535-4 3.101186+5 2.818383-4 3.078381+5 2.951209-4 3.033037+5 3.100000-4 2.963092+5 3.273407-4 2.864616+5 3.467369-4 2.741317+5 3.672823-4 2.604323+5 3.890451-4 2.457576+5 4.120975-4 2.302983+5 4.365158-4 2.144678+5 4.623810-4 1.985215+5 5.000000-4 1.773052+5 5.308844-4 1.616119+5 5.688529-4 1.443085+5 6.095369-4 1.279819+5 6.606934-4 1.104855+5 7.161434-4 9.465339+4 7.673615-4 8.240440+4 8.317638-4 6.968535+4 9.120108-4 5.709333+4 1.011579-3 4.518683+4 1.122018-3 3.544642+4 1.244515-3 2.755757+4 1.364583-3 2.188769+4 1.513561-3 1.676454+4 1.678804-3 1.274582+4 1.862087-3 9.619188+3 2.065380-3 7.207495+3 2.290868-3 5.362752+3 2.540973-3 3.962091+3 2.818383-3 2.906790+3 3.126079-3 2.117564+3 3.467369-3 1.531902+3 3.845918-3 1.100868+3 4.315191-3 7.568303+2 4.841724-3 5.162842+2 5.432503-3 3.495342+2 6.095369-3 2.349435+2 6.839116-3 1.568479+2 7.762471-3 9.980655+1 8.810489-3 6.301445+1 1.000000-2 3.948604+1 1.135011-2 2.455537+1 1.288250-2 1.516108+1 1.479108-2 8.891071+0 1.698244-2 5.175276+0 1.972423-2 2.857985+0 2.290868-2 1.566692+0 2.722701-2 7.768716-1 3.273407-2 3.648286-1 4.120975-2 1.405667-1 7.943282-2 9.124213-3 9.885531-2 3.687855-3 1.188502-1 1.732272-3 1.396368-1 9.009240-4 1.621810-1 4.946405-4 1.840772-1 2.998338-4 2.089296-1 1.830781-4 2.344229-1 1.177456-4 2.630268-1 7.628020-5 2.917427-1 5.195621-5 3.235937-1 3.563373-5 3.589219-1 2.461353-5 3.981072-1 1.712693-5 4.365158-1 1.247830-5 4.786301-1 9.156252-6 5.128614-1 7.300389-6 5.623413-1 5.440361-6 6.309573-1 3.801706-6 6.918310-1 2.872855-6 7.585776-1 2.187179-6 8.609938-1 1.514101-6 9.120108-1 1.290001-6 9.549926-1 1.142066-6 1.000000+0 1.018000-6 1.035142+0 9.386571-7 1.083927+0 8.480797-7 1.135011+0 7.712318-7 1.202264+0 6.897720-7 1.288250+0 6.078154-7 1.412538+0 5.178500-7 1.513561+0 4.606226-7 1.819701+0 3.342009-7 2.018366+0 2.806566-7 2.290868+0 2.286210-7 2.600160+0 1.876396-7 2.985383+0 1.524257-7 3.467369+0 1.226186-7 4.027170+0 9.938624-8 4.731513+0 7.986569-8 5.623413+0 6.368378-8 6.760830+0 5.041062-8 8.222427+0 3.963441-8 1.011579+1 3.096153-8 1.273503+1 2.370991-8 1.717908+1 1.692003-8 2.200000+1 1.290200-8 3.090295+1 8.954722-9 4.677351+1 5.789902-9 7.762471+1 3.429830-9 1.396368+2 1.885349-9 2.786121+2 9.37737-10 1.109175+3 2.34296-10 1.000000+5 2.59380-12 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 4.187000-5 2.452700-5 1.000000+5 2.452700-5 1 51000 7 7 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 4.187000-5 3.38840-10 1.000000+5 3.38840-10 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 4.187000-5 1.734266-5 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 4.056000-5 1.782030+6 4.090000-5 1.806438+6 4.120975-5 1.836485+6 4.150000-5 1.872744+6 4.180000-5 1.919418+6 4.216965-5 1.989219+6 4.255000-5 2.077800+6 4.285000-5 2.160018+6 4.330000-5 2.305770+6 4.370000-5 2.459988+6 4.415704-5 2.667300+6 4.450000-5 2.846520+6 4.500000-5 3.147474+6 4.555000-5 3.537882+6 4.610000-5 3.997206+6 4.680000-5 4.692018+6 4.786301-5 6.012935+6 4.954502-5 8.846191+6 5.040000-5 1.065426+7 5.110000-5 1.230882+7 5.170000-5 1.383528+7 5.230000-5 1.544064+7 5.285000-5 1.695900+7 5.330000-5 1.821654+7 5.370318-5 1.934161+7 5.420000-5 2.070816+7 5.465000-5 2.190972+7 5.520000-5 2.330760+7 5.580000-5 2.471382+7 5.630000-5 2.576976+7 5.690000-5 2.687748+7 5.745000-5 2.772690+7 5.801400-5 2.842611+7 5.850000-5 2.888832+7 5.900000-5 2.923104+7 5.970000-5 2.949570+7 6.030000-5 2.953776+7 6.095369-5 2.940989+7 6.165950-5 2.909436+7 6.237348-5 2.861679+7 6.330000-5 2.780622+7 6.400000-5 2.708196+7 6.500000-5 2.592582+7 6.610000-5 2.454210+7 6.730000-5 2.295924+7 6.850000-5 2.134944+7 6.950000-5 2.001474+7 7.079458-5 1.832521+7 7.230000-5 1.644564+7 7.350000-5 1.503042+7 7.500000-5 1.337916+7 7.673615-5 1.164213+7 7.852356-5 1.005138+7 8.035261-5 8.624463+6 8.230000-5 7.312800+6 8.500000-5 5.808636+6 8.738900-5 4.737137+6 9.015711-5 3.743888+6 9.332543-5 2.865969+6 9.660509-5 2.179511+6 1.000000-4 1.646742+6 1.040000-4 1.188660+6 1.083927-4 8.365444+5 1.143000-4 5.316666+5 1.170000-4 4.377588+5 1.193600-4 3.731483+5 1.213000-4 3.302340+5 1.230269-4 2.986691+5 1.245000-4 2.760726+5 1.260000-4 2.567130+5 1.275000-4 2.405970+5 1.290000-4 2.273892+5 1.303167-4 2.179361+5 1.318000-4 2.094276+5 1.330000-4 2.040366+5 1.345000-4 1.989762+5 1.358000-4 1.959426+5 1.373000-4 1.938282+5 1.390000-4 1.930140+5 1.407000-4 1.936614+5 1.423000-4 1.954224+5 1.440000-4 1.983474+5 1.462177-4 2.035361+5 1.490000-4 2.118174+5 1.520000-4 2.224248+5 1.659587-4 2.825855+5 1.720000-4 3.096060+5 1.778279-4 3.344937+5 1.835000-4 3.570216+5 1.883649-4 3.747695+5 1.950000-4 3.964488+5 2.000000-4 4.108092+5 2.065380-4 4.270331+5 2.137962-4 4.417826+5 2.220000-4 4.546818+5 2.300000-4 4.639092+5 2.388200-4 4.708187+5 2.483133-4 4.749621+5 2.580000-4 4.761714+5 2.691535-4 4.744580+5 2.818383-4 4.692991+5 2.951209-4 4.609401+5 3.100000-4 4.488240+5 3.280000-4 4.317876+5 3.467369-4 4.126003+5 3.672823-4 3.908055+5 3.890451-4 3.677921+5 4.120975-4 3.438258+5 4.415704-4 3.144648+5 4.700000-4 2.881506+5 5.069907-4 2.571161+5 5.432503-4 2.301114+5 5.888437-4 2.004502+5 6.382635-4 1.731238+5 6.839116-4 1.518411+5 7.413102-4 1.293783+5 8.128305-4 1.068039+5 8.810489-4 8.971197+4 9.549926-4 7.489675+4 1.047129-3 6.051087+4 1.148154-3 4.854318+4 1.273503-3 3.758031+4 1.412538-3 2.886258+4 1.566751-3 2.199714+4 1.737801-3 1.664028+4 1.927525-3 1.249559+4 2.137962-3 9.316945+3 2.371374-3 6.898145+3 2.630268-3 5.071280+3 2.917427-3 3.702088+3 3.235937-3 2.683565+3 3.589219-3 1.931924+3 4.000000-3 1.360294+3 4.466836-3 9.445627+2 5.011872-3 6.406537+2 5.623413-3 4.312766+2 6.309573-3 2.882684+2 7.079458-3 1.913661+2 8.035261-3 1.209918+2 9.120108-3 7.589521+1 1.035142-2 4.723932+1 1.174898-2 2.918206+1 1.333521-2 1.789094+1 1.513561-2 1.088498+1 1.737801-2 6.270828+0 2.041738-2 3.266677+0 2.426610-2 1.612408+0 2.917427-2 7.531870-1 3.427678-2 3.841811-1 4.315191-2 1.455521-1 8.413951-2 8.567327-3 1.023293-1 3.757261-3 1.202264-1 1.918683-3 1.380384-1 1.085677-3 1.584893-1 6.188738-4 1.778279-1 3.900226-4 1.995262-1 2.475964-4 2.213095-1 1.656759-4 2.454709-1 1.116720-4 2.710800-1 7.710400-5 2.985383-1 5.416815-5 3.273407-1 3.895910-5 3.548134-1 2.938774-5 3.845918-1 2.231722-5 4.168694-1 1.706866-5 4.518559-1 1.314361-5 4.897788-1 1.019139-5 5.308844-1 7.958062-6 5.754399-1 6.258601-6 6.165950-1 5.123908-6 6.683439-1 4.085861-6 7.244360-1 3.281574-6 7.852356-1 2.654159-6 8.609938-1 2.090863-6 9.120108-1 1.812088-6 9.660509-1 1.581073-6 1.022000+0 1.394300-6 1.083927+0 1.230653-6 1.161449+0 1.070571-6 1.244515+0 9.386894-7 1.364583+0 7.938163-7 1.737801+0 5.193343-7 1.972423+0 4.188398-7 2.213095+0 3.470139-7 2.511886+0 2.842492-7 2.884032+0 2.304700-7 3.349654+0 1.850762-7 3.890451+0 1.497561-7 4.570882+0 1.201460-7 5.432503+0 9.565575-8 6.531306+0 7.561385-8 7.943282+0 5.936825-8 9.772372+0 4.632002-8 1.244515+1 3.496616-8 1.678804+1 2.493517-8 2.162719+1 1.887949-8 3.019952+1 1.318161-8 4.518559+1 8.622177-9 7.328245+1 5.226784-9 1.288250+2 2.938890-9 2.570396+2 1.460865-9 5.128614+2 7.29355-10 4.073803+3 9.14990-11 1.000000+5 3.72590-12 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 4.056000-5 2.467700-5 1.000000+5 2.467700-5 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 4.056000-5 1.588300-5 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 1.592000-5 3.914439+5 1.635000-5 3.207560+5 1.670000-5 2.723820+5 1.710000-5 2.254440+5 1.750000-5 1.860898+5 1.790000-5 1.532730+5 1.830000-5 1.259212+5 1.870000-5 1.032502+5 1.920000-5 8.044840+4 2.040000-5 4.474200+4 2.075800-5 3.803407+4 2.100000-5 3.430100+4 2.120000-5 3.165340+4 2.140000-5 2.936900+4 2.162719-5 2.717880+4 2.180000-5 2.577880+4 2.200000-5 2.442240+4 2.215000-5 2.357740+4 2.230000-5 2.287160+4 2.245000-5 2.229600+4 2.260000-5 2.184260+4 2.277000-5 2.146680+4 2.293000-5 2.123760+4 2.308000-5 2.112660+4 2.322000-5 2.110760+4 2.340000-5 2.119420+4 2.360000-5 2.142780+4 2.377000-5 2.173100+4 2.400000-5 2.228040+4 2.426610-5 2.309735+4 2.460000-5 2.436400+4 2.500000-5 2.618360+4 2.560000-5 2.940800+4 2.670000-5 3.637300+4 2.730000-5 4.052220+4 2.800000-5 4.551740+4 2.851018-5 4.920243+4 2.920000-5 5.417680+4 2.985383-5 5.882845+4 3.060000-5 6.400520+4 3.126079-5 6.843513+4 3.198895-5 7.311782+4 3.273407-5 7.767090+4 3.370000-5 8.319020+4 3.470000-5 8.843360+4 3.570000-5 9.319620+4 3.689100-5 9.825308+4 3.801894-5 1.024474+5 3.935501-5 1.067065+5 4.073803-5 1.103612+5 4.220000-5 1.134642+5 4.365158-5 1.158531+5 4.518559-5 1.177174+5 4.720000-5 1.192770+5 4.900000-5 1.199410+5 5.150000-5 1.199484+5 5.400000-5 1.191140+5 5.688529-5 1.173739+5 6.025596-5 1.146168+5 6.400000-5 1.109978+5 6.839116-5 1.063801+5 7.413102-5 1.001986+5 8.035261-5 9.370445+4 8.810489-5 8.617378+4 9.800000-5 7.759520+4 1.083927-4 6.976155+4 1.216186-4 6.130349+4 1.400000-4 5.187420+4 1.862087-4 3.655537+4 2.162719-4 3.024573+4 2.454709-4 2.556705+4 2.884032-4 2.046359+4 3.388442-4 1.626657+4 4.168694-4 1.198771+4 4.954502-4 9.242457+3 5.754399-4 7.317571+3 6.918310-4 5.442711+3 8.511380-4 3.871014+3 1.011579-3 2.892942+3 1.244515-3 2.023690+3 1.531087-3 1.404769+3 1.905461-3 9.480302+2 2.398833-3 6.217317+2 2.985383-3 4.132074+2 3.672823-3 2.785577+2 4.466836-3 1.904856+2 5.370318-3 1.322011+2 6.456542-3 9.105117+1 7.943282-3 5.934034+1 9.440609-3 4.121762+1 1.122018-2 2.842092+1 1.333521-2 1.945151+1 1.566751-2 1.355659+1 1.840772-2 9.380776+0 2.162719-2 6.444193+0 2.540973-2 4.394451+0 2.985383-2 2.975102+0 3.507519-2 1.999565+0 4.168694-2 1.296124+0 4.954502-2 8.335777-1 5.888437-2 5.317129-1 7.079458-2 3.266479-1 8.317638-2 2.119653-1 1.035142-1 1.167583-1 1.396368-1 5.113303-2 2.398833-1 1.142466-2 2.884032-1 6.904107-3 3.388442-1 4.474863-3 3.890451-1 3.108007-3 4.415705-1 2.241514-3 4.954502-1 1.676987-3 5.559043-1 1.264124-3 6.165950-1 9.869498-4 6.839117-1 7.759026-4 7.585776-1 6.142868-4 8.511380-1 4.777360-4 9.332543-1 3.933439-4 1.023293+0 3.261015-4 1.161449+0 2.535109-4 1.303167+0 2.036071-4 1.479108+0 1.610454-4 1.640590+0 1.338995-4 1.840772+0 1.098276-4 2.089296+0 8.896381-5 2.371374+0 7.262347-5 2.691535+0 5.971996-5 3.126079+0 4.778457-5 3.630781+0 3.853158-5 4.265795+0 3.081038-5 5.011872+0 2.482424-5 6.000000+0 1.966100-5 7.244360+0 1.552228-5 8.810489+0 1.223635-5 1.083927+1 9.581188-6 1.333521+1 7.547772-6 1.757924+1 5.533486-6 2.264644+1 4.194521-6 3.126079+1 2.967682-6 4.731513+1 1.919196-6 7.852356+1 1.137121-6 1.428894+2 6.179162-7 2.851018+2 3.073848-7 1.135011+3 7.680875-8 1.000000+5 8.70190-10 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 1.592000-5 1.592000-5 1.000000+5 1.592000-5 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.592000-5 0.0 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 7.730000-6 2.073690+7 8.035261-6 1.964545+7 8.317638-6 1.862464+7 8.609938-6 1.755564+7 8.912509-6 1.647193+7 9.350000-6 1.495400+7 9.772372-6 1.357523+7 1.023293-5 1.217974+7 1.071519-5 1.085634+7 1.122018-5 9.617623+6 1.180000-5 8.367950+6 1.250000-5 7.083120+6 1.333521-5 5.828027+6 1.428894-5 4.697172+6 1.548817-5 3.624829+6 1.698244-5 2.675886+6 2.018366-5 1.498279+6 2.660725-5 5.898588+5 3.235937-5 3.069764+5 3.845918-5 1.737385+5 4.365158-5 1.152389+5 4.786301-5 8.606811+4 5.150000-5 6.868500+4 5.500000-5 5.647290+4 5.821032-5 4.801396+4 6.165950-5 4.101922+4 6.500000-5 3.576750+4 6.839116-5 3.157007+4 7.161434-5 2.837014+4 7.500000-5 2.564150+4 7.900000-5 2.305030+4 8.317638-5 2.088590+4 8.800000-5 1.889710+4 9.332543-5 1.716287+4 9.900000-5 1.569680+4 1.047129-4 1.451369+4 1.109175-4 1.347000+4 1.190000-4 1.239130+4 1.273503-4 1.150928+4 1.380384-4 1.062108+4 1.513561-4 9.766242+3 1.720000-4 8.767360+3 2.187762-4 7.205280+3 2.454709-4 6.512002+3 2.754229-4 5.840059+3 3.090295-4 5.199466+3 3.507519-4 4.539901+3 4.027170-4 3.883009+3 4.518559-4 3.391630+3 5.011872-4 2.984061+3 5.587400-4 2.588096+3 6.237348-4 2.224566+3 7.079458-4 1.853921+3 8.035261-4 1.534445+3 9.015711-4 1.283957+3 1.011579-3 1.065811+3 1.148154-3 8.623357+2 1.303167-3 6.925993+2 1.479108-3 5.522097+2 1.678804-3 4.370595+2 1.905461-3 3.434138+2 2.162719-3 2.679213+2 2.454709-3 2.075301+2 2.786121-3 1.595720+2 3.162278-3 1.217814+2 3.589219-3 9.223623+1 4.265795-3 6.267741+1 4.731513-3 4.925080+1 5.308844-3 3.739026+1 6.025596-3 2.739102+1 6.839116-3 1.993710+1 7.762471-3 1.440523+1 8.810489-3 1.033434+1 1.000000-2 7.361913+0 1.135011-2 5.207776+0 1.303167-2 3.542264+0 1.496236-2 2.390528+0 1.717908-2 1.600837+0 1.972423-2 1.064283+0 2.290868-2 6.785362-1 2.660725-2 4.293624-1 3.126079-2 2.602813-1 3.715352-2 1.510116-1 4.518559-2 8.083492-2 5.432503-2 4.457429-2 7.079458-2 1.877041-2 1.318257-1 2.434817-3 1.621810-1 1.240504-3 1.927525-1 7.119722-4 2.264644-1 4.270624-4 2.600160-1 2.774940-4 2.951209-1 1.881590-4 3.349654-1 1.285161-4 3.758374-1 9.151391-5 4.216965-1 6.564267-5 4.677351-1 4.900774-5 5.188000-1 3.684805-5 5.754399-1 2.791323-5 6.382635-1 2.130170-5 7.079458-1 1.638059-5 7.762471-1 1.305679-5 8.609938-1 1.016272-5 9.225714-1 8.652446-6 9.772372-1 7.611696-6 1.047129+0 6.578143-6 1.135011+0 5.583896-6 1.216186+0 4.881949-6 1.348963+0 4.026816-6 1.548817+0 3.145564-6 1.778279+0 2.472019-6 2.018366+0 1.997155-6 2.264644+0 1.656733-6 2.570396+0 1.358908-6 2.951209+0 1.103322-6 3.427678+0 8.870487-7 4.000000+0 7.138700-7 4.677351+0 5.771212-7 5.559043+0 4.599570-7 6.683439+0 3.639179-7 8.128305+0 2.859955-7 1.000000+1 2.233200-7 1.258925+1 1.709523-7 1.698244+1 1.219540-7 2.187762+1 9.236785-8 3.019952+1 6.530140-8 4.518559+1 4.271245-8 7.328245+1 2.589266-8 1.288250+2 1.455858-8 2.570396+2 7.237015-9 5.128614+2 3.613085-9 4.073803+3 4.53272-10 1.000000+5 1.84580-11 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 7.730000-6 7.730000-6 1.000000+5 7.730000-6 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 7.730000-6 0.0 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 7.020000-6 4.350820+7 7.300000-6 4.088240+7 7.600000-6 3.810560+7 7.852356-6 3.584594+7 8.222426-6 3.268072+7 8.609938-6 2.957760+7 9.015711-6 2.660042+7 9.500000-6 2.339800+7 1.000000-5 2.048040+7 1.059254-5 1.749926+7 1.122018-5 1.483963+7 1.188502-5 1.249930+7 1.273503-5 1.009478+7 1.364583-5 8.095936+6 1.479108-5 6.214353+6 1.650000-5 4.305140+6 2.483133-5 1.065174+6 2.851018-5 6.694473+5 3.198895-5 4.577127+5 3.548134-5 3.274549+5 3.845918-5 2.539591+5 4.150000-5 2.011400+5 4.415704-5 1.673295+5 4.677351-5 1.419174+5 4.954502-5 1.212013+5 5.230000-5 1.052508+5 5.500000-5 9.294000+4 5.754399-5 8.362232+4 6.025596-5 7.555503+4 6.309573-5 6.868043+4 6.650000-5 6.205360+4 7.000000-5 5.661780+4 7.413102-5 5.149414+4 7.852356-5 4.716362+4 8.413951-5 4.279065+4 9.015711-5 3.911317+4 9.800000-5 3.537340+4 1.071519-4 3.201468+4 1.188502-4 2.874547+4 1.333521-4 2.570573+4 1.566751-4 2.217873+4 2.050000-4 1.742448+4 2.290868-4 1.566568+4 2.570396-4 1.392022+4 2.884032-4 1.227620+4 3.235937-4 1.074717+4 3.672823-4 9.215032+3 4.365158-4 7.400954+3 4.897788-4 6.350782+3 5.432503-4 5.494327+3 6.095369-4 4.642706+3 6.918310-4 3.825560+3 7.852356-4 3.129910+3 9.015711-4 2.495182+3 1.023293-3 2.011919+3 1.161449-3 1.609433+3 1.318257-3 1.277855+3 1.500000-3 1.002468+3 1.698244-3 7.886773+2 1.927525-3 6.131883+2 2.187762-3 4.734693+2 2.483133-3 3.630205+2 2.818383-3 2.763272+2 3.198895-3 2.087993+2 3.630781-3 1.565897+2 4.120975-3 1.165207+2 4.623810-3 8.843187+1 5.248075-3 6.477142+1 5.956621-3 4.707140+1 6.760830-3 3.394834+1 7.673615-3 2.430102+1 8.709636-3 1.726826+1 9.885531-3 1.218236+1 1.122018-2 8.532730+0 1.273503-2 5.934493+0 1.445440-2 4.099012+0 1.640590-2 2.811872+0 1.883649-2 1.850074+0 2.162719-2 1.208182+0 2.511886-2 7.554057-1 2.917427-2 4.686809-1 3.388442-2 2.886749-1 4.027170-2 1.637517-1 4.841724-2 8.871500-2 5.821032-2 4.766716-2 7.498942-2 2.010746-2 1.412538-1 2.289852-3 1.698244-1 1.225637-3 1.995262-1 7.144580-4 2.290868-1 4.527002-4 2.600160-1 3.001200-4 2.917427-1 2.080058-4 3.235937-1 1.505321-4 3.589219-1 1.096896-4 3.981072-1 8.053010-5 4.365158-1 6.161005-5 4.786301-1 4.745688-5 5.248075-1 3.682196-5 5.754399-1 2.878476-5 6.309573-1 2.267211-5 6.918310-1 1.799427-5 7.585776-1 1.439116-5 8.511380-1 1.098634-5 9.225714-1 9.164069-6 9.885531-1 7.898511-6 1.083927+0 6.539487-6 1.188600+0 5.450500-6 1.303167+0 4.575819-6 1.445440+0 3.786573-6 1.678804+0 2.905221-6 1.905461+0 2.339558-6 2.137962+0 1.934686-6 2.426610+0 1.581557-6 2.786121+0 1.279751-6 3.235937+0 1.025849-6 3.758374+0 8.286699-7 4.415704+0 6.637346-7 5.188000+0 5.355919-7 6.237348+0 4.225431-7 7.585776+0 3.311404-7 9.332543+0 2.579295-7 1.188502+1 1.943765-7 1.566751+1 1.420494-7 2.018366+1 1.073056-7 2.851018+1 7.390846-8 4.120975+1 5.006316-8 6.382635+1 3.177364-8 1.096478+2 1.825327-8 2.187762+2 9.062702-9 4.365158+2 4.521255-9 3.467369+3 5.66854-10 1.000000+5 1.96460-11 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 7.020000-6 7.020000-6 1.000000+5 7.020000-6 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 7.020000-6 0.0 1.000000+5 1.000000+5 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.661870-7 1.028100+0 1.229010-6 1.028750+0 1.661870-6 1.029500+0 2.274310-6 1.030100+0 2.860230-6 1.031000+0 3.913760-6 1.032000+0 5.355010-6 1.033200+0 7.501460-6 1.034000+0 9.208740-6 1.035300+0 1.249960-5 1.036640+0 1.661870-5 1.038200+0 2.242750-5 1.039700+0 2.913780-5 1.041500+0 3.876740-5 1.043800+0 5.381050-5 1.046400+0 7.486710-5 1.048300+0 9.321160-5 1.051200+0 1.264400-4 1.054080+0 1.661870-4 1.057700+0 2.265240-4 1.061100+0 2.946520-4 1.065100+0 3.900890-4 1.070400+0 5.442180-4 1.076200+0 7.521120-4 1.080600+0 9.392650-4 1.087100+0 1.265490-3 1.093710+0 1.661870-3 1.102600+0 2.304050-3 1.110700+0 3.004740-3 1.120600+0 4.019110-3 1.133300+0 5.587740-3 1.147500+0 7.714450-3 1.158200+0 9.587050-3 1.174100+0 1.281460-2 1.190110+0 1.661870-2 1.205100+0 2.069430-2 1.227500+0 2.770590-2 1.250000+0 3.578000-2 1.265600+0 4.190800-2 1.294900+0 5.444540-2 1.331800+0 7.183430-2 1.362600+0 8.743520-2 1.397000+0 1.058040-1 1.433800+0 1.264220-1 1.500000+0 1.660000-1 1.589800+0 2.256950-1 1.665000+0 2.808770-1 1.784700+0 3.769590-1 1.892300+0 4.695330-1 2.000000+0 5.648000-1 2.044000+0 6.037000-1 2.163500+0 7.098050-1 2.372600+0 8.959650-1 2.647100+0 1.137100+0 3.000000+0 1.437000+0 3.500000+0 1.838020+0 4.000000+0 2.211000+0 4.750000+0 2.721320+0 5.000000+0 2.879000+0 6.000000+0 3.456000+0 7.000000+0 3.969000+0 8.000000+0 4.431000+0 9.000000+0 4.850000+0 1.000000+1 5.234000+0 1.100000+1 5.588000+0 1.200000+1 5.915000+0 1.300000+1 6.220000+0 1.400000+1 6.500000+0 1.500000+1 6.759000+0 1.600000+1 6.999000+0 1.800000+1 7.439000+0 2.000000+1 7.832000+0 2.200000+1 8.189000+0 2.400000+1 8.513000+0 2.600000+1 8.809000+0 2.800000+1 9.080000+0 3.000000+1 9.330000+0 4.000000+1 1.034000+1 5.000000+1 1.110000+1 6.000000+1 1.168000+1 8.000000+1 1.255000+1 1.000000+2 1.316000+1 1.500000+2 1.414000+1 2.000000+2 1.472000+1 3.000000+2 1.540000+1 4.000000+2 1.579000+1 5.000000+2 1.605000+1 6.000000+2 1.623000+1 8.000000+2 1.648000+1 1.000000+3 1.664000+1 1.500000+3 1.687000+1 2.000000+3 1.699000+1 3.000000+3 1.713000+1 4.000000+3 1.720000+1 5.000000+3 1.725000+1 6.000000+3 1.728000+1 8.000000+3 1.732000+1 1.000000+4 1.735000+1 1.500000+4 1.738000+1 2.000000+4 1.740000+1 3.000000+4 1.742000+1 4.000000+4 1.743000+1 5.000000+4 1.744000+1 6.000000+4 1.745000+1 8.000000+4 1.745000+1 1.000000+5 1.746000+1 1 51000 7 8 1.217500+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 5.114480-7 2.099900+0 1.197880-6 2.106600+0 1.666350-6 2.114000+0 2.305610-6 2.119500+0 2.870470-6 2.127900+0 3.892900-6 2.136250+0 5.114480-6 2.147000+0 7.012310-6 2.156900+0 9.108150-6 2.169000+0 1.215540-5 2.184500+0 1.689640-5 2.201800+0 2.337670-5 2.214800+0 2.912550-5 2.234200+0 3.917900-5 2.253680+0 5.114480-5 2.281500+0 7.163730-5 2.307000+0 9.409540-5 2.338200+0 1.265190-4 2.377400+0 1.752140-4 2.410200+0 2.228430-4 2.446800+0 2.834690-4 2.485900+0 3.569030-4 2.532900+0 4.567590-4 2.556430+0 5.114480-4 2.611900+0 6.521530-4 2.660400+0 7.884180-4 2.745300+0 1.055250-3 2.809000+0 1.277960-3 2.904500+0 1.646350-3 3.000000+0 2.055000-3 3.125000+0 2.649850-3 3.234400+0 3.224270-3 3.425800+0 4.341890-3 3.569300+0 5.264960-3 3.784700+0 6.768080-3 4.000000+0 8.384000-3 4.250000+0 1.035960-2 4.625000+0 1.346400-2 5.000000+0 1.669000-2 5.500000+0 2.111500-2 6.000000+0 2.560000-2 6.750000+0 3.228190-2 7.000000+0 3.448000-2 8.000000+0 4.307000-2 9.000000+0 5.129000-2 1.000000+1 5.910000-2 1.100000+1 6.648000-2 1.200000+1 7.344000-2 1.300000+1 7.999000-2 1.400000+1 8.623000-2 1.500000+1 9.213000-2 1.600000+1 9.773000-2 1.800000+1 1.081000-1 2.000000+1 1.175000-1 2.200000+1 1.262000-1 2.400000+1 1.341000-1 2.600000+1 1.414000-1 2.800000+1 1.482000-1 3.000000+1 1.545000-1 4.000000+1 1.806000-1 5.000000+1 2.004000-1 6.000000+1 2.161000-1 8.000000+1 2.398000-1 1.000000+2 2.569000-1 1.500000+2 2.853000-1 2.000000+2 3.031000-1 3.000000+2 3.249000-1 4.000000+2 3.380000-1 5.000000+2 3.469000-1 6.000000+2 3.535000-1 8.000000+2 3.625000-1 1.000000+3 3.685000-1 1.500000+3 3.774000-1 2.000000+3 3.825000-1 3.000000+3 3.880000-1 4.000000+3 3.912000-1 5.000000+3 3.932000-1 6.000000+3 3.946000-1 8.000000+3 3.964000-1 1.000000+4 3.976000-1 1.500000+4 3.992000-1 2.000000+4 4.001000-1 3.000000+4 4.010000-1 4.000000+4 4.016000-1 5.000000+4 4.019000-1 6.000000+4 4.021000-1 8.000000+4 4.023000-1 1.000000+5 4.025000-1 1 51000 7 8 1.217500+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 51000 7 9 1.217500+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 5.100000+1 1.000000+5 5.100000+1 5.000000+5 5.098300+1 7.500000+5 5.096250+1 1.000000+6 5.094800+1 1.500000+6 5.089400+1 2.000000+6 5.081200+1 2.500000+6 5.070900+1 3.000000+6 5.058300+1 3.500000+6 5.043430+1 4.000000+6 5.027000+1 4.500000+6 5.008700+1 5.000000+6 4.988600+1 5.500000+6 4.966720+1 6.250000+6 4.930700+1 6.500000+6 4.917970+1 7.000000+6 4.892000+1 7.500000+6 4.864680+1 8.250000+6 4.821570+1 8.500000+6 4.807150+1 9.000000+6 4.777500+1 1.000000+7 4.716100+1 1.109400+7 4.646360+1 1.187500+7 4.596000+1 1.250000+7 4.555500+1 1.375000+7 4.473550+1 1.500000+7 4.393000+1 1.687500+7 4.274120+1 1.750000+7 4.235700+1 1.937500+7 4.121270+1 2.000000+7 4.084300+1 2.250000+7 3.939080+1 2.375000+7 3.869120+1 2.500000+7 3.800500+1 2.875000+7 3.601680+1 3.000000+7 3.537800+1 3.250000+7 3.412490+1 3.500000+7 3.291520+1 3.625000+7 3.232690+1 4.000000+7 3.062700+1 4.500000+7 2.851950+1 5.000000+7 2.661900+1 6.000000+7 2.343900+1 7.000000+7 2.103600+1 7.750000+7 1.963210+1 8.000000+7 1.921800+1 9.000000+7 1.776600+1 1.000000+8 1.650700+1 1.085900+8 1.550310+1 1.125000+8 1.505940+1 1.144500+8 1.484080+1 1.214800+8 1.406300+1 1.250000+8 1.367800+1 1.312500+8 1.300240+1 1.406300+8 1.202360+1 1.500000+8 1.110000+1 1.625000+8 9.969330+0 1.750000+8 8.978690+0 2.000000+8 7.414700+0 2.171900+8 6.623650+0 2.289100+8 6.200540+0 2.375000+8 5.945440+0 2.394500+8 5.892950+0 2.500000+8 5.647100+0 2.625000+8 5.422110+0 2.859400+8 5.079120+0 3.000000+8 4.869100+0 3.125000+8 4.664440+0 3.500000+8 4.091100+0 3.875000+8 3.671770+0 4.000000+8 3.532900+0 4.125000+8 3.385110+0 4.234400+8 3.252120+0 4.425800+8 3.020380+0 4.712900+8 2.695830+0 4.750000+8 2.657010+0 5.000000+8 2.416500+0 5.437500+8 2.079050+0 6.000000+8 1.753100+0 6.343800+8 1.596290+0 6.578100+8 1.508550+0 6.789100+8 1.443750+0 7.000000+8 1.392200+0 7.250000+8 1.346800+0 8.000000+8 1.247800+0 8.250000+8 1.212020+0 8.660200+8 1.149040+0 8.851600+8 1.119160+0 1.000000+9 9.591000-1 1.062500+9 8.932960-1 1.253900+9 7.439380-1 1.338500+9 6.880710-1 1.375000+9 6.646000-1 1.396200+9 6.511150-1 1.465400+9 6.074200-1 1.500000+9 5.857300-1 1.562500+9 5.469140-1 1.641100+9 4.998100-1 1.706900+9 4.625110-1 1.780200+9 4.237380-1 1.858700+9 3.856170-1 1.952900+9 3.445260-1 2.000000+9 3.258600-1 2.139200+9 2.772050-1 2.272600+9 2.384640-1 2.443000+9 1.979870-1 2.602800+9 1.673430-1 2.825100+9 1.337330-1 3.088500+9 1.039620-1 3.327400+9 8.373720-2 3.634100+9 6.441960-2 3.975600+9 4.900300-2 4.423800+9 3.513820-2 5.000000+9 2.380500-2 5.750000+9 1.513240-2 6.875000+9 8.403430-3 8.000000+9 5.081700-3 1.00000+10 2.424000-3 1.20500+10 1.313350-3 1.41820+10 7.728160-4 1.71110+10 4.217740-4 2.16710+10 1.984250-4 2.65670+10 1.042560-4 3.11560+10 6.327020-5 3.97620+10 2.964090-5 4.72910+10 1.736080-5 6.04690+10 8.177420-6 8.02340+10 3.462630-6 1.00000+11 1.781100-6 1.34280+11 7.354330-7 1.77440+11 3.202210-7 2.63330+11 9.939700-8 4.88110+11 1.623810-8 1.16740+12 1.294360-9 3.55150+12 5.34917-11 1.00000+14 4.27760-15 5.62340+14 3.18835-17 2.73840+16 4.75223-22 1.00000+17 1.15380-23 1 51000 7 0 1.217500+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 5.80000-12 1.000000+2 5.80000-10 1.000000+3 5.800000-8 1.000000+4 5.800000-6 1.000000+5 5.800000-4 5.000000+5 1.450000-2 7.500000+5 3.262500-2 1.000000+6 5.800000-2 1.500000+6 1.297000-1 2.000000+6 2.284000-1 2.500000+6 3.527000-1 3.000000+6 5.008000-1 3.500000+6 6.705970-1 4.000000+6 8.598000-1 4.500000+6 1.066060+0 5.000000+6 1.287000+0 5.500000+6 1.520220+0 6.250000+6 1.888610+0 6.500000+6 2.015210+0 7.000000+6 2.273100+0 7.500000+6 2.535220+0 8.250000+6 2.934010+0 8.500000+6 3.067590+0 9.000000+6 3.335800+0 1.000000+7 3.871000+0 1.109400+7 4.451570+0 1.187500+7 4.861350+0 1.250000+7 5.186600+0 1.375000+7 5.826610+0 1.500000+7 6.453000+0 1.687500+7 7.365230+0 1.750000+7 7.662700+0 1.937500+7 8.529850+0 2.000000+7 8.811000+0 2.250000+7 9.891120+0 2.375000+7 1.040700+1 2.500000+7 1.090800+1 2.875000+7 1.232700+1 3.000000+7 1.277700+1 3.250000+7 1.364820+1 3.500000+7 1.448710+1 3.625000+7 1.489580+1 4.000000+7 1.608800+1 4.500000+7 1.760740+1 5.000000+7 1.906700+1 6.000000+7 2.182300+1 7.000000+7 2.434900+1 7.750000+7 2.605800+1 8.000000+7 2.659000+1 9.000000+7 2.851800+1 1.000000+8 3.015700+1 1.085900+8 3.137460+1 1.125000+8 3.188280+1 1.144500+8 3.212790+1 1.214800+8 3.296200+1 1.250000+8 3.335800+1 1.312500+8 3.402590+1 1.406300+8 3.495740+1 1.500000+8 3.582200+1 1.625000+8 3.687930+1 1.750000+8 3.784720+1 2.000000+8 3.953600+1 2.171900+8 4.053270+1 2.289100+8 4.115020+1 2.375000+8 4.157210+1 2.394500+8 4.166520+1 2.500000+8 4.215100+1 2.625000+8 4.268420+1 2.859400+8 4.358130+1 3.000000+8 4.406900+1 3.125000+8 4.447000+1 3.500000+8 4.552200+1 3.875000+8 4.637670+1 4.000000+8 4.662600+1 4.125000+8 4.685170+1 4.234400+8 4.704460+1 4.425800+8 4.734670+1 4.712900+8 4.773800+1 4.750000+8 4.778400+1 5.000000+8 4.807500+1 5.437500+8 4.848290+1 6.000000+8 4.889200+1 6.343800+8 4.908790+1 6.578100+8 4.920640+1 6.789100+8 4.930410+1 7.000000+8 4.939900+1 7.250000+8 4.949430+1 8.000000+8 4.975600+1 8.250000+8 4.982780+1 8.660200+8 4.994110+1 8.851600+8 4.999230+1 1.000000+9 5.024800+1 1.062500+9 5.035480+1 1.253900+9 5.061050+1 1.338500+9 5.069130+1 1.375000+9 5.072130+1 1.396200+9 5.073580+1 1.465400+9 5.078180+1 1.500000+9 5.080400+1 1.562500+9 5.083290+1 1.641100+9 5.086560+1 1.706900+9 5.088530+1 1.780200+9 5.090640+1 1.858700+9 5.092400+1 1.952900+9 5.094090+1 2.000000+9 5.094900+1 2.139200+9 5.096390+1 2.272600+9 5.097730+1 2.443000+9 5.098960+1 2.602800+9 5.099530+1 2.825100+9 5.100270+1 3.088500+9 5.100870+1 3.327400+9 5.100740+1 3.634100+9 5.100580+1 3.975600+9 5.100410+1 4.423800+9 5.100220+1 5.000000+9 5.100000+1 5.750000+9 5.100000+1 6.875000+9 5.100000+1 8.000000+9 5.100000+1 1.00000+10 5.100000+1 1.20500+10 5.100000+1 1.41820+10 5.100000+1 1.71110+10 5.100000+1 2.16710+10 5.100000+1 2.65670+10 5.100000+1 3.11560+10 5.100000+1 3.97620+10 5.100000+1 4.72910+10 5.100000+1 6.04690+10 5.100000+1 8.02340+10 5.100000+1 1.00000+11 5.100000+1 1.34280+11 5.100000+1 1.77440+11 5.100000+1 2.63330+11 5.100000+1 4.88110+11 5.100000+1 1.16740+12 5.100000+1 3.55150+12 5.100000+1 1.00000+14 5.100000+1 5.62340+14 5.100000+1 2.73840+16 5.100000+1 1.00000+17 5.100000+1 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.034987-6 0.0 4.022452-6 0.0 4.037304-6 9.064981-1 4.042254-6 1.204831+0 4.052155-6 2.200723+0 4.062055-6 3.710721+0 4.073194-6 6.090405+0 4.101658-6 1.347624+1 4.112468-6 1.529154+1 4.122853-6 1.580854+1 4.132754-6 1.506605+1 4.143294-6 1.310638+1 4.159997-6 8.751718+0 4.170964-6 5.916140+0 4.180865-6 3.819254+0 4.190765-6 2.276002+0 4.200666-6 1.252047+0 4.213042-6 4.771329-1 4.220468-6 0.0 4.722043-6 0.0 4.742383-6 4.304153-1 4.745288-6 4.912758-1 4.756911-6 8.973554-1 4.768534-6 1.513065+0 4.781609-6 2.483392+0 4.801767-6 4.332461+0 4.815025-6 5.495004+0 4.827374-6 6.227333+0 4.839337-6 6.457679+0 4.851619-6 6.137816+0 4.863785-6 5.345519+0 4.897615-6 2.321909+0 4.908474-6 1.532405+0 4.920396-6 9.005547-1 4.931252-6 5.105359-1 4.948794-6 1.273837-1 4.954497-6 1.461749-5 4.977704-6 2.234907-5 4.989690-6 2.540538-5 5.004909-6 2.747517-5 5.017019-6 2.768942-5 5.029130-6 2.651000-5 5.041240-6 2.410747-5 5.053350-6 2.078636-5 5.085582-6 1.050089-5 5.101791-6 6.197092-6 5.109555-6 4.429524-6 5.113902-6 3.699333-6 5.126012-6 2.204538-6 5.138122-6 1.212734-6 5.150233-6 6.158399-7 5.162343-6 0.0 5.325870-6 0.0 5.328467-6 2.974811-2 5.354697-6 2.985838+0 5.367813-6 5.438884+0 5.380928-6 9.147278+0 5.395190-6 1.474881+1 5.431727-6 3.209320+1 5.447709-6 3.730248+1 5.461272-6 3.852021+1 5.474858-6 3.654681+1 5.488346-6 3.186149+1 5.525197-6 1.431517+1 5.538312-6 9.231585+0 5.551427-6 5.549949+0 5.564543-6 3.172002+0 5.585165-6 1.001283+0 5.588050-6 7.136878-1 5.590773-6 4.745710-1 5.598812-6 6.243792-1 5.612458-6 9.718411-1 5.653397-6 2.267563+0 5.668749-6 2.576691+0 5.680690-6 2.673858+0 5.696042-6 2.539549+0 5.709384-6 2.245697+0 5.748922-6 9.954839-1 5.762568-6 6.426546-1 5.776215-6 3.829807-1 5.789861-6 2.106848-1 5.810003-6 5.613505-2 5.817154-6 6.529973-6 5.827221-6 4.972910-6 5.841054-6 3.210338-6 5.854886-6 1.913131-6 5.868718-6 1.052429-6 5.889467-6 2.675318-7 5.896383-6 0.0 5.992248-6 0.0 5.993800-6 6.344866-3 6.023306-6 1.190147+0 6.025461-6 1.332286+0 6.038059-6 2.712898+0 6.052812-6 4.820997+0 6.057732-6 5.775099+0 6.071044-6 8.697574+0 6.089261-6 1.394690+1 6.123179-6 2.487357+1 6.130204-6 2.685867+1 6.145470-6 2.983526+1 6.159678-6 3.082042+1 6.175624-6 2.948009+1 6.193933-6 2.540308+1 6.233094-6 1.321300+1 6.247925-6 9.191831+0 6.262755-6 6.083413+0 6.277586-6 3.795314+0 6.288860-6 2.451723+0 6.292417-6 2.180314+0 6.304210-6 1.623570+0 6.322079-6 1.149609+0 6.336027-6 1.466970+0 6.352453-6 2.111196+0 6.368174-6 3.004813+0 6.386842-6 4.376982+0 6.420747-6 7.047130+0 6.430054-6 7.663853+0 6.445609-6 8.320180+0 6.460943-6 8.445334+0 6.477865-6 7.968240+0 6.493480-6 7.155020+0 6.521734-6 5.198096+0 6.538590-6 4.280627+0 6.554602-6 3.773893+0 6.570615-6 3.692666+0 6.590146-6 4.060302+0 6.636542-6 5.081410+0 6.653959-6 5.210196+0 6.695827-6 5.022381+0 6.730427-6 5.495808+0 6.749170-6 6.124142+0 6.765663-6 6.947881+0 6.829138-6 1.109275+1 6.849007-6 1.178874+1 6.862906-6 1.187639+1 6.882596-6 1.128448+1 6.914921-6 9.302205+0 6.960479-6 6.493733+0 6.981431-6 5.688816+0 7.005030-6 5.100097+0 7.024837-6 4.850051+0 7.056882-6 5.024208+0 7.079347-6 5.449403+0 7.097449-6 5.941633+0 7.146277-6 7.479930+0 7.163756-6 7.817717+0 7.192507-6 7.938846+0 7.240691-6 6.954468+0 7.265763-6 6.510147+0 7.280845-6 6.388418+0 7.314552-6 6.529500+0 7.386173-6 6.836663+0 7.998478-6 6.213772+0 8.037852-6 8.272999+0 8.060000-6 1.030677+1 8.080172-6 1.311217+1 8.099375-6 1.668118+1 8.157206-6 2.960215+1 8.177749-6 3.255402+1 8.198540-6 3.339633+1 8.219324-6 3.189456+1 8.240281-6 2.839435+1 8.293786-6 1.625088+1 8.315934-6 1.227744+1 8.333161-6 9.931064+0 8.355309-6 8.013674+0 8.392222-6 5.957856+0 8.698068-6 5.740713+0 8.740886-6 1.020722+1 8.763634-6 1.426005+1 8.785043-6 2.001061+1 8.807790-6 2.839673+1 8.870011-6 5.612607+1 8.893763-6 6.280063+1 8.915172-6 6.459419+1 8.935534-6 6.211630+1 8.958825-6 5.470694+1 9.019206-6 2.758849+1 9.040615-6 1.974535+1 9.062024-6 1.396883+1 9.083434-6 1.013075+1 9.126252-6 5.425072+0 1.136241-5 3.834715+0 1.290836-5 2.974814+0 1.361821-5 2.660349+0 1.371876-5 2.789188+0 1.378580-5 3.027270+0 1.388636-5 3.517704+0 1.391988-5 3.613570+0 1.395340-5 3.630775+0 1.399683-5 3.518169+0 1.415452-5 2.688127+0 1.422156-5 2.490327+0 1.430275-5 2.379419+0 1.462464-5 2.283698+0 1.480358-5 2.384827+0 1.491120-5 2.429063+0 1.516542-5 2.178863+0 1.543043-5 2.126161+0 1.652407-5 1.776191+0 1.800046-5 1.428872+0 1.934159-5 1.192383+0 2.080331-5 9.950772-1 2.260000-5 8.137049-1 2.440373-5 6.790580-1 2.639129-5 5.700350-1 2.887144-5 4.727226-1 3.198903-5 3.891491-1 3.268861-5 3.748975-1 3.284953-5 1.740105+0 3.292999-5 2.869571+0 3.301261-5 4.645775+0 3.310135-5 7.297434+0 3.333228-5 1.578520+1 3.342013-5 1.831408+1 3.350622-5 1.945136+1 3.359157-5 1.936710+1 3.371669-5 1.776045+1 3.389549-5 1.518211+1 3.413687-5 1.319646+1 3.422527-5 1.195608+1 3.441768-5 8.017901+0 3.453984-5 5.672456+0 3.462183-5 4.482649+0 3.470382-5 3.644135+0 3.478581-5 3.081913+0 3.484670-5 2.811854+0 3.494010-5 2.202716+0 3.494978-5 2.125263+0 3.501412-5 1.967621+0 3.526525-5 1.041157+0 3.534896-5 7.883452-1 3.543267-5 6.020039-1 3.551638-5 4.779702-1 3.568380-5 3.254406-1 3.760881-5 3.017463-1 3.779542-5 4.631554-1 3.788651-5 5.934308-1 3.797908-5 7.946645-1 3.807165-5 1.070249+0 3.834936-5 2.098731+0 3.844193-5 2.332812+0 3.854360-5 2.412470+0 3.863847-5 2.340692+0 3.875477-5 2.053666+0 3.890478-5 1.590830+0 3.900890-5 1.379553+0 3.909043-5 1.290895+0 3.918596-5 1.318604+0 3.928184-5 1.473202+0 3.951121-5 2.098697+0 3.962722-5 2.460082+0 3.974905-5 2.695348+0 3.989544-5 2.722022+0 3.999245-5 2.623815+0 4.034816-5 1.954516+0 4.045750-5 1.837118+0 4.058436-5 1.823222+0 4.107508-5 2.039574+0 4.225000-5 2.172796+0 4.313125-5 2.407771+0 4.400000-5 2.745497+0 4.493724-5 3.260889+0 4.580743-5 3.913092+0 4.680000-5 4.907989+0 4.786301-5 6.336776+0 4.897980-5 8.318164+0 5.022445-5 1.120036+1 5.139912-5 1.460911+1 5.330495-5 2.137071+1 5.660000-5 3.392417+1 5.850000-5 3.933387+1 6.030000-5 4.220560+1 6.256043-5 4.292378+1 6.573906-5 4.027270+1 7.196728-5 3.028763+1 7.762471-5 2.124774+1 8.132048-5 1.645347+1 8.510304-5 1.255655+1 8.865480-5 9.729237+0 9.242325-5 7.436394+0 9.593096-5 5.810627+0 9.918419-5 4.639246+0 1.027174-4 3.648732+0 1.034585-4 3.600310+0 1.039974-4 3.710779+0 1.050028-4 4.087952+0 1.055450-4 4.050665+0 1.067017-4 3.594838+0 1.094643-4 3.104220+0 1.120132-4 2.798619+0 1.129298-4 2.817780+0 1.140169-4 2.934238+0 1.149659-4 2.854044+0 1.160161-4 2.705613+0 1.199220-4 2.400737+0 1.260000-4 2.080952+0 1.322000-4 1.901710+0 1.390000-4 1.837359+0 1.470242-4 1.885200+0 1.477479-4 1.946701+0 1.484717-4 2.106632+0 1.491955-4 2.403914+0 1.502811-4 2.982286+0 1.506430-4 3.106633+0 1.510049-4 3.152207+0 1.513668-4 3.111149+0 1.517460-4 2.985051+0 1.528291-4 2.450357+0 1.535436-4 2.205162+0 1.542753-4 2.111405+0 1.550236-4 2.154593+0 1.569970-4 2.413693+0 2.032690-4 3.794644+0 2.343543-4 4.518852+0 2.731198-4 5.116159+0 3.105620-4 5.428051+0 3.735712-4 5.577361+0 4.883711-4 5.281963+0 5.214228-4 5.185420+0 5.375220-4 5.846679+0 5.409541-4 6.341135+0 5.432811-4 6.995187+0 5.453999-4 7.940929+0 5.481499-4 9.748793+0 5.511248-4 1.238402+1 5.619522-4 2.339636+1 5.708003-4 3.040074+1 5.787620-4 3.434825+1 5.876789-4 3.595585+1 6.061485-4 3.529764+1 6.500000-4 3.133103+1 7.450970-4 2.693339+1 7.564528-4 2.737694+1 7.682604-4 2.896413+1 8.075000-4 2.869206+1 8.245830-4 2.890676+1 9.092806-4 2.649597+1 9.326240-4 2.674667+1 1.152240-3 2.110163+1 1.366548-3 1.706846+1 1.573530-3 1.418109+1 1.838786-3 1.146110+1 2.111209-3 9.428019+0 2.402288-3 7.820809+0 2.756383-3 6.381839+0 3.156452-3 5.199922+0 3.651389-3 4.154620+0 4.035035-3 3.574017+0 4.060716-3 3.681076+0 4.076209-3 3.933476+0 4.089610-3 4.363150+0 4.102099-3 4.984693+0 4.117078-3 5.995553+0 4.153481-3 8.727469+0 4.172951-3 9.687085+0 4.199327-3 1.024623+1 4.267450-3 1.023712+1 4.330138-3 1.025679+1 4.361903-3 1.083649+1 4.414290-3 1.247025+1 4.453496-3 1.298078+1 4.612269-3 1.265726+1 4.707926-3 1.367851+1 4.891861-3 1.312326+1 5.698167-3 1.037327+1 6.507849-3 8.392218+0 7.460364-3 6.734426+0 8.548009-3 5.386499+0 9.718028-3 4.344241+0 1.110772-2 3.461302+0 1.245403-2 2.842883+0 1.412524-2 2.283828+0 1.611134-2 1.812820+0 1.814527-2 1.468274+0 2.040820-2 1.190109+0 2.289837-2 9.674888-1 2.568281-2 7.859361-1 2.897457-2 6.307368-1 2.975924-2 6.076592-1 2.989522-2 6.317948-1 2.999538-2 6.866308-1 3.006882-2 7.640668-1 3.013676-2 8.755223-1 3.021728-2 1.067556+0 3.031154-2 1.378951+0 3.050145-2 2.187415+0 3.065174-2 2.786413+0 3.079072-2 3.155127+0 3.095583-2 3.356162+0 3.133548-2 3.384546+0 3.591932-2 2.713299+0 4.100175-2 2.185559+0 4.657201-2 1.760852+0 5.210924-2 1.448587+0 5.905396-2 1.164639+0 6.654347-2 9.407053-1 7.557275-2 7.480916-1 8.480942-2 6.057692-1 9.574652-2 4.845042-1 1.080363-1 3.871113-1 1.218002-1 3.096789-1 1.359904-1 2.518781-1 1.494267-1 2.111570-1 1.646281-1 1.761056-1 1.827623-1 1.447961-1 2.019372-1 1.201631-1 2.242189-1 9.911615-2 2.483133-1 8.219248-2 2.750268-1 6.838236-2 3.066358-1 5.638945-2 3.417827-1 4.670106-2 3.787814-1 3.928823-2 4.204845-1 3.310400-2 4.722584-1 2.756316-2 5.339493-1 2.291397-2 6.102500-1 1.893770-2 6.858829-1 1.619458-2 7.823804-1 1.373831-2 9.015711-1 1.164588-2 1.070165+0 9.712210-3 1.286622+0 7.949515-3 1.477239+0 6.840811-3 1.776032+0 5.599254-3 2.135261+0 4.583030-3 2.567148+0 3.751244-3 3.086391+0 3.070420-3 3.710658+0 2.513162-3 4.461192+0 2.057041-3 5.363532+0 1.683703-3 6.448384+0 1.378123-3 7.752663+0 1.128004-3 9.320751+0 9.232796-4 9.760024+0 8.781908-4 1.000000+1 1.788187-3 1 51000 7 0 1.217500+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-5.095057+1 3.034987-6-5.027728+1 3.849572-6-4.846296+1 3.991848-6-4.624343+1 4.032353-6-4.352946+1 4.073194-6-4.016870+1 4.090365-6-4.110267+1 4.108949-6-4.532866+1 4.127823-6-5.133323+1 4.147290-6-4.580555+1 4.165395-6-4.390962+1 4.190765-6-4.535783+1 4.244887-6-4.981118+1 4.266821-6-5.057796+1 4.739477-6-4.667106+1 4.794685-6-4.532893+1 4.828736-6-4.776959+1 4.871140-6-5.184791+1 4.910818-6-5.183163+1 5.041240-6-4.841669+1 5.229156-6-4.440338+1 5.296792-6-4.092072+1 5.325870-6-3.762926+1 5.382567-6-2.773463+1 5.399495-6-2.652806+1 5.412426-6-2.777591+1 5.425671-6-3.103321+1 5.443875-6-3.947378+1 5.463803-6-5.224201+1 5.479539-6-4.285061+1 5.490895-6-3.739283+1 5.502424-6-3.409331+1 5.516309-6-3.220561+1 5.525197-6-3.225244+1 5.539951-6-3.402535+1 5.605741-6-4.595748+1 5.646884-6-4.897501+1 5.759162-6-5.061846+1 5.817154-6-5.236890+1 5.963426-6-4.666496+1 6.012241-6-4.233496+1 6.071044-6-3.489084+1 6.092738-6-3.428462+1 6.109218-6-3.583062+1 6.128515-6-4.031473+1 6.155624-6-5.051171+1 6.159678-6-5.241264+1 6.198117-6-4.030490+1 6.216143-6-3.729792+1 6.233094-6-3.661390+1 6.259511-6-3.864028+1 6.341345-6-4.994990+1 6.392028-6-5.335654+1 6.439247-6-5.231806+1 6.502806-6-4.881134+1 6.554602-6-5.048333+1 6.621888-6-5.287919+1 6.717337-6-5.420197+1 6.804851-6-5.469486+1 6.824904-6-5.468328+1 6.905062-6-4.866333+1 6.960479-6-4.850985+1 7.112946-6-5.314879+1 7.252835-6-5.117536+1 7.409869-6-5.211609+1 7.822353-6-5.408750+1 7.978656-6-4.740597+1 8.083994-6-3.793007+1 8.111756-6-3.714020+1 8.136634-6-3.880481+1 8.157206-6-4.231471+1 8.191481-6-5.121742+1 8.195561-6-5.189197+1 8.221249-6-4.435580+1 8.246463-6-3.888960+1 8.271676-6-3.610907+1 8.293786-6-3.589401+1 8.331007-6-3.838650+1 8.420868-6-4.635640+1 8.531045-6-5.119910+1 8.644422-6-4.467133+1 8.690450-6-3.979805+1 8.719477-6-3.479863+1 8.762296-6-2.759304+1 8.791942-6-2.303760+1 8.812473-6-2.168837+1 8.829758-6-2.255799+1 8.843981-6-2.490468+1 8.862568-6-3.045383+1 8.886376-6-4.142644+1 8.902357-6-5.042419+1 8.927910-6-3.500759+1 8.940092-6-2.773422+1 8.958825-6-1.875402+1 8.971448-6-1.431337+1 8.979064-6-1.207669+1 8.987552-6-1.024482+1 8.992528-6-9.444999+0 8.997797-6-8.856814+0 9.007163-6-8.214718+0 9.016195-6-8.098350+0 9.035263-6-9.435850+0 9.059683-6-1.296725+1 9.090793-6-1.840276+1 9.124914-6-2.344285+1 9.133268-6-2.511076+1 9.161212-6-2.824973+1 9.223344-6-3.216505+1 9.317909-6-3.535962+1 9.524846-6-3.863906+1 1.000000-5-4.130081+1 1.136241-5-4.308893+1 1.391150-5-4.425115+1 1.415452-5-4.343192+1 1.543043-5-4.425881+1 2.871759-5-4.886818+1 3.182427-5-5.161528+1 3.255987-5-4.888026+1 3.311885-5-4.181686+1 3.327922-5-4.299162+1 3.342926-5-4.766617+1 3.356233-5-5.249141+1 3.372898-5-4.742337+1 3.431511-5-3.991761+1 3.453984-5-3.995253+1 3.509783-5-4.366651+1 3.604142-5-4.754770+1 3.834936-5-5.205153+1 3.895808-5-5.129725+1 3.962722-5-5.265962+1 4.041791-5-5.220704+1 4.720000-5-6.111446+1 5.214935-5-6.788421+1 5.481250-5-6.702032+1 5.745900-5-6.088447+1 6.356934-5-3.875607+1 6.637304-5-3.076914+1 6.849330-5-2.626704+1 7.047116-5-2.308093+1 7.267695-5-2.057607+1 7.547258-5-1.868046+1 7.874990-5-1.782275+1 8.321831-5-1.813230+1 9.242325-5-2.099186+1 1.032057-4-2.527121+1 1.050028-4-2.583096+1 1.064476-4-2.590771+1 1.094643-4-2.678849+1 1.260000-4-2.933860+1 1.602780-4-3.284475+1 2.343543-4-3.392155+1 3.735712-4-3.460448+1 4.498898-4-3.716706+1 4.962105-4-4.099570+1 5.214228-4-4.529566+1 5.353887-4-5.008884+1 5.525134-4-6.077954+1 5.602683-4-6.097743+1 5.722500-4-5.579869+1 5.915034-4-4.388423+1 6.061485-4-3.795401+1 6.240851-4-3.346725+1 6.500000-4-2.988046+1 6.888505-4-2.667481+1 7.301188-4-2.472870+1 7.498392-4-2.492025+1 7.624007-4-2.550402+1 7.831831-4-2.294767+1 8.117028-4-2.161968+1 8.439584-4-1.894033+1 8.900759-4-1.673220+1 9.225925-4-1.605835+1 9.326240-4-1.575411+1 9.577174-4-1.429209+1 1.012581-3-1.235344+1 1.088421-3-1.049398+1 1.191411-3-8.735977+0 1.294333-3-7.543528+0 1.411014-3-6.637264+0 1.573530-3-5.845866+0 1.752871-3-5.382391+0 2.014014-3-5.130565+0 2.300780-3-5.188562+0 2.756383-3-5.696753+0 3.156452-3-6.493109+0 3.482772-3-7.507550+0 3.718076-3-8.656569+0 3.876196-3-9.897653+0 3.977555-3-1.121209+1 4.035035-3-1.250083+1 4.081104-3-1.442927+1 4.117078-3-1.602524+1 4.142458-3-1.611596+1 4.218761-3-1.322772+1 4.267450-3-1.236118+1 4.318025-3-1.228837+1 4.380585-3-1.271401+1 4.414290-3-1.212690+1 4.487481-3-1.017313+1 4.551268-3-9.274009+0 4.612269-3-8.977485+0 4.664984-3-8.887311+0 4.707926-3-8.304297+0 4.776239-3-7.081340+0 4.852055-3-6.194164+0 4.983143-3-5.115812+0 5.139088-3-4.186107+0 5.307355-3-3.416435+0 5.511248-3-2.710596+0 5.698167-3-2.207302+0 5.922431-3-1.729298+0 6.143904-3-1.365855+0 6.321260-3-1.124968+0 6.507849-3-9.156397-1 6.636416-3-7.928259-1 6.780950-3-6.723151-1 6.948243-3-5.526650-1 7.207091-3-4.000306-1 7.301928-3-3.500073-1 7.496329-3-2.643236-1 7.714041-3-1.839348-1 7.839246-3-1.454112-1 8.055964-3-8.863295-2 8.274847-3-4.114675-2 8.313121-3-3.316059-2 8.420008-3-1.625843-2 8.485879-3-6.562991-3 8.548009-3 1.752834-3 8.605437-3 9.637668-3 8.712856-3 2.186022-2 8.859111-3 3.412151-2 9.075919-3 4.904545-2 9.316097-3 5.888387-2 9.486113-3 6.209257-2 9.718028-3 6.356503-2 9.933583-3 6.311615-2 1.014550-2 5.733565-2 1.046657-2 4.486681-2 1.083927-2 2.669502-2 1.110772-2 1.100010-2 1.118968-2 5.350276-3 1.139921-2-1.026886-2 1.160927-2-2.568967-2 1.245403-2-9.741780-2 1.378080-2-2.205666-1 2.124914-2-9.452056-1 2.367567-2-1.216452+0 2.568281-2-1.502207+0 2.716235-2-1.796529+0 2.820771-2-2.102420+0 2.897457-2-2.446630+0 2.948315-2-2.811534+0 2.981732-2-3.221027+0 3.006882-2-3.755449+0 3.034964-2-4.422865+0 3.050145-2-4.506505+0 3.065174-2-4.292788+0 3.107699-2-3.178268+0 3.133548-2-2.740459+0 3.168600-2-2.354494+0 3.210198-2-2.039336+0 3.274769-2-1.689223+0 3.362195-2-1.353730+0 3.454661-2-1.096761+0 3.570564-2-8.599991-1 3.706716-2-6.591209-1 3.806326-2-5.420259-1 3.938157-2-4.193669-1 4.040491-2-3.396376-1 4.156195-2-2.646295-1 4.215069-2-2.319142-1 4.315191-2-1.840619-1 4.423495-2-1.397942-1 4.522845-2-1.055108-1 4.657201-2-6.493374-2 4.754549-2-4.131366-2 4.876469-2-1.619655-2 4.970937-2-5.525283-4 4.985500-2 1.882489-3 5.041121-2 9.652211-3 5.129151-2 2.224783-2 5.210924-2 3.075191-2 5.357178-2 4.493853-2 5.513638-2 5.680959-2 5.758604-2 6.903701-2 5.905396-2 7.437842-2 6.056012-2 7.788131-2 6.374600-2 7.997368-2 6.654347-2 7.746390-2 7.160077-2 6.841059-2 7.557275-2 5.879787-2 8.108980-2 4.167359-2 8.756959-2 2.001166-2 9.336595-2 1.652507-3 9.354393-2 1.103966-3 9.474058-2-2.756585-3 9.574652-2-5.947349-3 9.711869-2-1.059419-2 1.042078-1-3.243444-2 1.139680-1-6.013795-2 1.263007-1-9.032279-2 1.404429-1-1.198779-1 1.587747-1-1.509970-1 1.827623-1-1.823869-1 2.161744-1-2.140384-1 2.660725-1-2.450544-1 3.417827-1-2.723578-1 4.722584-1-2.951600-1 7.488158-1-3.121503-1 1.776032+0-3.215392-1 5.363532+0-3.236064-1 1.000000+1-3.236398-1 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 5.581024-4 1.141649-6 9.566313-4 1.252058-6 1.404995-3 1.331535-6 1.820519-3 1.416056-6 2.365749-3 1.562399-6 3.628025-3 1.661574-6 4.759617-3 1.767045-6 6.267800-3 1.879211-6 8.287730-3 1.999443-6 1.103907-2 2.186257-6 1.658943-2 2.255111-6 1.916429-2 2.326134-6 2.218417-2 2.399393-6 2.574351-2 2.540947-6 3.407315-2 2.620352-6 3.977340-2 2.699604-6 4.633132-2 2.776379-6 5.361633-2 2.850755-6 6.171845-2 2.992607-6 8.033555-2 3.060226-6 9.100726-2 3.125732-6 1.027057-1 3.250666-6 1.290616-1 3.315715-6 1.455462-1 3.425608-6 1.779041-1 3.533783-6 2.167819-1 3.636379-6 2.617591-1 3.730273-6 3.113821-1 3.819407-6 3.678752-1 3.902970-6 4.312574-1 3.988054-6 5.083413-1 4.054753-6 5.790911-1 4.123607-6 6.643437-1 4.188157-6 7.573621-1 4.248673-6 8.589872-1 4.305407-6 9.698679-1 4.364847-6 1.105492+0 4.408458-6 1.220379+0 4.463812-6 1.389121+0 4.501248-6 1.520282+0 4.540117-6 1.674646+0 4.578635-6 1.849439+0 4.614746-6 2.036821+0 4.648600-6 2.237354+0 4.680339-6 2.451685+0 4.710093-6 2.680514+0 4.737988-6 2.924420+0 4.769463-6 3.240865+0 4.788657-6 3.459618+0 4.811641-6 3.752670+0 4.833189-6 4.064060+0 4.853391-6 4.394590+0 4.872330-6 4.744897+0 4.897317-6 5.280246+0 4.922335-6 5.922042+0 4.936965-6 6.359669+0 4.950680-6 6.821575+0 4.976397-6 7.858827+0 4.998899-6 9.015666+0 5.018588-6 1.030860+1 5.035816-6 1.176073+1 5.050890-6 1.339874+1 5.064080-6 1.524475+1 5.075622-6 1.730652+1 5.085720-6 1.957129+1 5.094557-6 2.200590+1 5.102289-6 2.456206+1 5.109054-6 2.718392+1 5.114974-6 2.981537+1 5.124686-6 3.491152+1 5.138566-6 4.414307+1 5.160179-6 6.384256+1 5.169103-6 7.398014+1 5.175449-6 8.186852+1 5.181795-6 9.026877+1 5.194487-6 1.082968+2 5.196074-6 1.106343+2 5.207179-6 1.272123+2 5.211542-6 1.337107+2 5.219871-6 1.458071+2 5.224234-6 1.518641+2 5.228398-6 1.573899+2 5.232563-6 1.626085+2 5.238115-6 1.689928+2 5.243470-6 1.744193+2 5.248427-6 1.787109+2 5.252592-6 1.817139+2 5.258740-6 1.850550+2 5.266176-6 1.872303+2 5.271803-6 1.874512+2 5.279548-6 1.857084+2 5.285030-6 1.830575+2 5.289954-6 1.797103+2 5.295909-6 1.745102+2 5.300326-6 1.698966+2 5.309110-6 1.590435+2 5.314787-6 1.510302+2 5.318923-6 1.447959+2 5.324380-6 1.361757+2 5.328631-6 1.292276+2 5.334097-6 1.201082+2 5.339650-6 1.107553+2 5.345451-6 1.010298+2 5.353135-6 8.844116+1 5.358688-6 7.969294+1 5.360274-6 7.726135+1 5.366224-6 6.845278+1 5.372173-6 6.018742+1 5.384865-6 4.459257+1 5.389748-6 3.937023+1 5.393652-6 3.550858+1 5.397557-6 3.192206+1 5.403109-6 2.728365+1 5.409579-6 2.253559+1 5.414568-6 1.932906+1 5.419646-6 1.644467+1 5.424342-6 1.409327+1 5.429172-6 1.196729+1 5.433964-6 1.012623+1 5.438719-6 8.539554+0 5.443436-6 7.178526+0 5.445781-6 6.574198+0 5.450453-6 5.500281+0 5.455088-6 4.589870+0 5.459687-6 3.821566+0 5.464250-6 3.176136+0 5.468778-6 2.636426+0 5.479938-6 1.654743+0 5.499582-6 7.518540-1 5.654458-6 1.191841+0 5.885503-6 7.257412+0 6.043761-6 1.925160+1 6.063390-6 2.316205+1 6.075973-6 2.608229+1 6.090892-6 2.983758+1 6.105810-6 3.369894+1 6.109540-6 3.464706+1 6.120729-6 3.736580+1 6.124459-6 3.821141+1 6.135647-6 4.048625+1 6.142004-6 4.156095+1 6.147195-6 4.229858+1 6.151088-6 4.276078+1 6.156928-6 4.329626+1 6.162768-6 4.363007+1 6.167177-6 4.374169+1 6.170483-6 4.374377+1 6.177923-6 4.348766+1 6.180403-6 4.332155+1 6.187862-6 4.258052+1 6.194389-6 4.164251+1 6.197186-6 4.116122+1 6.203713-6 3.986405+1 6.210240-6 3.834216+1 6.211172-6 3.810798+1 6.225159-6 3.417768+1 6.232046-6 3.202139+1 6.240077-6 2.940230+1 6.246916-6 2.713571+1 6.253418-6 2.499269+1 6.261291-6 2.246815+1 6.270971-6 1.955206+1 6.285765-6 1.569812+1 6.294506-6 1.385306+1 6.300684-6 1.276754+1 6.304180-6 1.223672+1 6.309425-6 1.155613+1 6.313358-6 1.113754+1 6.314670-6 1.101554+1 6.329588-6 1.023867+1 6.332106-6 1.021626+1 6.336512-6 1.025012+1 6.349729-6 1.088757+1 6.354577-6 1.131289+1 6.359425-6 1.183556+1 6.364731-6 1.251536+1 6.372231-6 1.366169+1 6.379732-6 1.501789+1 6.394733-6 1.834610+1 6.416277-6 2.463482+1 6.435127-6 3.191994+1 6.451621-6 4.018598+1 6.466053-6 4.945244+1 6.478682-6 5.967624+1 6.489732-6 7.072578+1 6.499400-6 8.239544+1 6.507860-6 9.443739+1 6.521740-6 1.186284+2 6.552435-6 1.973883+2 6.567080-6 2.500833+2 6.576581-6 2.901510+2 6.586531-6 3.371630+2 6.594617-6 3.790933+2 6.602703-6 4.241625+2 6.618875-6 5.223317+2 6.620897-6 5.352073+2 6.635047-6 6.275666+2 6.640607-6 6.643113+2 6.652631-6 7.427180+2 6.657930-6 7.761214+2 6.662738-6 8.054495+2 6.670626-6 8.509180+2 6.676665-6 8.829530+2 6.681596-6 9.069792+2 6.688069-6 9.351806+2 6.695612-6 9.626687+2 6.697612-6 9.689050+2 6.706101-6 9.900918+2 6.713737-6 1.001434+3 6.719228-6 1.004867+3 6.727261-6 1.002620+3 6.734558-6 9.931008+2 6.739205-6 9.834005+2 6.746344-6 9.631932+2 6.752564-6 9.406193+2 6.754047-6 9.345947+2 6.765767-6 8.790522+2 6.773471-6 8.358706+2 6.778136-6 8.076186+2 6.784804-6 7.650146+2 6.791233-6 7.220070+2 6.798330-6 6.730585+2 6.804832-6 6.274953+2 6.811624-6 5.797957+2 6.815273-6 5.543386+2 6.822556-6 5.042741+2 6.829839-6 4.557174+2 6.831769-6 4.431655+2 6.840770-6 3.867774+2 6.846295-6 3.540967+2 6.862468-6 2.681335+2 6.894403-6 1.433348+2 6.903023-6 1.192793+2 6.913073-6 9.569024+1 6.925558-6 7.224919+1 6.948404-6 4.268161+1 6.976196-6 2.247085+1 6.990195-6 1.636637+1 7.004420-6 1.194393+1 7.012954-6 9.930219+0 7.025440-6 7.638709+0 7.029601-6 7.017046+0 7.046248-6 5.086551+0 7.048329-6 4.898259+0 7.062895-6 3.841449+0 7.065721-6 3.682940+0 7.070665-6 3.437012+0 7.085500-6 2.911665+0 7.091679-6 2.776584+0 7.096189-6 2.706915+0 7.098171-6 2.683911+0 7.103339-6 2.645918+0 7.110816-6 2.648754+0 7.119956-6 2.752684+0 7.137184-6 3.314987+0 7.154412-6 4.535685+0 7.163026-6 5.484881+0 7.171640-6 6.721429+0 7.180254-6 8.298096+0 7.197482-6 1.270287+1 7.206096-6 1.565257+1 7.214710-6 1.918219+1 7.223324-6 2.335031+1 7.230593-6 2.740369+1 7.237602-6 3.180489+1 7.245152-6 3.710972+1 7.248807-6 3.989367+1 7.254290-6 4.433651+1 7.259774-6 4.910045+1 7.268686-6 5.752161+1 7.275371-6 6.437161+1 7.277599-6 6.675240+1 7.295424-6 8.736572+1 7.297652-6 9.011237+1 7.313249-6 1.100548+2 7.319823-6 1.186801+2 7.332372-6 1.350878+2 7.338177-6 1.425012+2 7.341490-6 1.466425+2 7.347287-6 1.536856+2 7.354896-6 1.624311+2 7.362234-6 1.701914+2 7.370039-6 1.775683+2 7.377074-6 1.833207+2 7.384988-6 1.886564+2 7.388358-6 1.905378+2 7.396196-6 1.939648+2 7.404034-6 1.960252+2 7.410560-6 1.966863+2 7.419102-6 1.961285+2 7.426517-6 1.943960+2 7.435485-6 1.908880+2 7.444672-6 1.859137+2 7.453786-6 1.798993+2 7.465867-6 1.708812+2 7.490694-6 1.523727+2 7.500926-6 1.462973+2 7.509070-6 1.426574+2 7.511631-6 1.417736+2 7.519220-6 1.399753+2 7.525737-6 1.394897+2 7.530676-6 1.398180+2 7.532502-6 1.400964+2 7.540492-6 1.423342+2 7.547142-6 1.454747+2 7.553809-6 1.497781+2 7.561677-6 1.562904+2 7.569987-6 1.647369+2 7.578686-6 1.751032+2 7.606464-6 2.151099+2 7.616387-6 2.302993+2 7.626792-6 2.456784+2 7.636225-6 2.585599+2 7.642280-6 2.660637+2 7.652724-6 2.772198+2 7.661454-6 2.845079+2 7.670199-6 2.897097+2 7.678524-6 2.925729+2 7.685470-6 2.933517+2 7.693600-6 2.923945+2 7.701239-6 2.896938+2 7.706696-6 2.867350+2 7.711153-6 2.837114+2 7.724525-6 2.716357+2 7.733415-6 2.614226+2 7.742570-6 2.494257+2 7.747794-6 2.420323+2 7.756365-6 2.292406+2 7.765990-6 2.141951+2 7.774029-6 2.013388+2 7.784365-6 1.847705+2 7.796636-6 1.655376+2 7.809840-6 1.459576+2 7.832254-6 1.166736+2 7.851396-6 9.639438+1 7.864778-6 8.489084+1 7.875583-6 7.712162+1 7.885382-6 7.115647+1 7.893320-6 6.700899+1 7.899300-6 6.425289+1 7.903785-6 6.237708+1 7.913876-6 5.869819+1 7.919102-6 5.705823+1 7.925618-6 5.523650+1 7.932134-6 5.363636+1 7.941020-6 5.176445+1 7.954546-6 4.948050+1 7.967676-6 4.777383+1 7.980832-6 4.644844+1 7.991276-6 4.561536+1 8.007070-6 4.466400+1 8.019482-6 4.415397+1 8.034205-6 4.381848+1 8.048385-6 4.379332+1 8.058909-6 4.398664+1 8.070418-6 4.443267+1 8.087139-6 4.558512+1 8.099022-6 4.682471+1 8.111709-6 4.859249+1 8.123128-6 5.062235+1 8.129797-6 5.201677+1 8.138842-6 5.416979+1 8.149817-6 5.720768+1 8.160573-6 6.065511+1 8.178143-6 6.730330+1 8.219582-6 8.742448+1 8.237017-6 9.707839+1 8.249169-6 1.038577+2 8.259390-6 1.094216+2 8.270326-6 1.150774+2 8.282117-6 1.206466+2 8.292588-6 1.249735+2 8.302264-6 1.283376+2 8.307528-6 1.298783+2 8.322390-6 1.330041+2 8.329699-6 1.338328+2 8.334017-6 1.340937+2 8.344929-6 1.339851+2 8.355170-6 1.328889+2 8.364780-6 1.310151+2 8.372987-6 1.288069+2 8.378087-6 1.271730+2 8.385737-6 1.243786+2 8.393387-6 1.212161+2 8.403877-6 1.163812+2 8.412445-6 1.121024+2 8.423689-6 1.061940+2 8.438923-6 9.799609+1 8.465076-6 8.468081+1 8.474975-6 8.024756+1 8.486854-6 7.555445+1 8.497728-6 7.194262+1 8.507024-6 6.941327+1 8.510488-6 6.860611+1 8.518000-6 6.710988+1 8.523859-6 6.618259+1 8.529628-6 6.547093+1 8.536908-6 6.484932+1 8.546035-6 6.448275+1 8.555126-6 6.453761+1 8.560850-6 6.476630+1 8.571994-6 6.558491+1 8.584710-6 6.700718+1 8.604350-6 6.985699+1 8.628247-6 7.363708+1 8.646515-6 7.623371+1 8.662663-6 7.806369+1 8.671307-6 7.882209+1 8.692448-6 7.998849+1 8.708249-6 8.026047+1 8.725924-6 8.007369+1 8.755023-6 7.908491+1 8.779698-6 7.810017+1 8.805552-6 7.738019+1 8.819659-6 7.722235+1 8.840417-6 7.735297+1 8.862240-6 7.799111+1 8.871815-6 7.844347+1 8.885546-6 7.929352+1 8.898755-6 8.036424+1 8.911457-6 8.167348+1 8.923672-6 8.325057+1 8.935005-6 8.506037+1 8.944490-6 8.688932+1 8.954363-6 8.916079+1 8.962328-6 9.131585+1 8.971308-6 9.414821+1 8.980434-6 9.753151+1 8.987421-6 1.005133+2 8.994954-6 1.041543+2 9.005980-6 1.103745+2 9.011804-6 1.141313+2 9.034274-6 1.321058+2 9.057202-6 1.568667+2 9.103669-6 2.275566+2 9.116457-6 2.508522+2 9.131478-6 2.792474+2 9.143517-6 3.021493+2 9.154790-6 3.231328+2 9.164561-6 3.405435+2 9.174295-6 3.568139+2 9.184772-6 3.727457+2 9.199608-6 3.917865+2 9.209268-6 4.015739+2 9.218948-6 4.090734+2 9.231372-6 4.150844+2 9.239236-6 4.167175+2 9.250354-6 4.161297+2 9.261373-6 4.122606+2 9.266336-6 4.094875+2 9.273780-6 4.041846+2 9.283050-6 3.957756+2 9.293220-6 3.844554+2 9.304102-6 3.702287+2 9.316321-6 3.521134+2 9.327271-6 3.344067+2 9.339648-6 3.132548+2 9.353825-6 2.882613+2 9.368015-6 2.631895+2 9.387029-6 2.306988+2 9.411664-6 1.923536+2 9.448537-6 1.459205+2 9.467341-6 1.276778+2 9.481183-6 1.164585+2 9.494702-6 1.071513+2 9.507798-6 9.953096+1 9.522393-6 9.245778+1 9.536112-6 8.698001+1 9.544683-6 8.405286+1 9.567752-6 7.771877+1 9.589379-6 7.336559+1 9.610910-6 7.011471+1 9.658450-6 6.538866+1 9.685687-6 6.373262+1 9.699943-6 6.314306+1 9.713308-6 6.278949+1 9.725838-6 6.266959+1 9.737584-6 6.278905+1 9.748597-6 6.315757+1 9.758921-6 6.378564+1 9.768600-6 6.468226+1 9.777532-6 6.583214+1 9.785915-6 6.724901+1 9.793782-6 6.892981+1 9.802925-6 7.138563+1 9.810296-6 7.382264+1 9.819274-6 7.743249+1 9.827860-6 8.164432+1 9.833147-6 8.465543+1 9.838186-6 8.785347+1 9.842911-6 9.116464+1 9.851494-6 9.802614+1 9.859037-6 1.050505+2 9.865666-6 1.120722+2 9.871681-6 1.191888+2 9.881549-6 1.325425+2 9.893420-6 1.516584+2 9.909301-6 1.831014+2 9.950387-6 3.012123+2 9.966972-6 3.655396+2 9.981985-6 4.321697+2 9.991374-6 4.777176+2 1.001292-5 5.922527+2 1.002078-5 6.370019+2 1.003732-5 7.347478+2 1.004893-5 8.051801+2 1.006019-5 8.736863+2 1.007259-5 9.480574+2 1.008460-5 1.017737+3 1.009539-5 1.077192+3 1.010610-5 1.132153+3 1.010976-5 1.149842+3 1.012453-5 1.214725+3 1.013586-5 1.256405+3 1.015061-5 1.298728+3 1.016175-5 1.321035+3 1.016878-5 1.330641+3 1.017885-5 1.338260+3 1.018721-5 1.339087+3 1.019206-5 1.337299+3 1.020813-5 1.319817+3 1.021975-5 1.296685+3 1.023100-5 1.266593+3 1.024341-5 1.225649+3 1.025541-5 1.179367+3 1.026608-5 1.133622+3 1.027981-5 1.069933+3 1.029201-5 1.010084+3 1.030726-5 9.329525+2 1.032327-5 8.514715+2 1.032861-5 8.245929+2 1.035606-5 6.920018+2 1.037796-5 5.964436+2 1.042003-5 4.459710+2 1.043818-5 3.950844+2 1.045625-5 3.522450+2 1.047427-5 3.165925+2 1.049223-5 2.872323+2 1.051067-5 2.625247+2 1.052792-5 2.436023+2 1.054567-5 2.275982+2 1.056513-5 2.132882+2 1.058254-5 2.027630+2 1.060484-5 1.917093+2 1.063342-5 1.804888+2 1.067698-5 1.676215+2 1.070920-5 1.602634+2 1.075373-5 1.520573+2 1.080404-5 1.446803+2 1.087044-5 1.370286+2 1.094622-5 1.302564+2 1.100065-5 1.262945+2 1.107540-5 1.217297+2 1.118845-5 1.161676+2 1.130880-5 1.114868+2 1.143786-5 1.074820+2 1.165053-5 1.022203+2 1.188979-5 9.762169+1 1.228800-5 9.160446+1 1.266857-5 8.698931+1 1.350000-5 7.893838+1 1.463230-5 7.007299+1 1.500000-5 6.745514+1 1.544110-5 6.430782+1 1.582271-5 6.118909+1 1.600847-5 5.934863+1 1.608728-5 5.882567+1 1.612668-5 5.873839+1 1.616608-5 5.880840+1 1.620549-5 5.905324+1 1.625166-5 5.956024+1 1.632369-5 6.071749+1 1.640250-5 6.212436+1 1.644190-5 6.271284+1 1.648407-5 6.316596+1 1.651293-5 6.334713+1 1.656704-5 6.338421+1 1.659951-5 6.322626+1 1.663892-5 6.288110+1 1.671772-5 6.184581+1 1.688980-5 5.926371+1 1.699694-5 5.797451+1 1.708594-5 5.714728+1 1.716429-5 5.660485+1 1.726783-5 5.615403+1 1.754081-5 5.554995+1 1.774856-5 5.460075+1 1.922168-5 4.830735+1 2.087623-5 4.220752+1 2.192957-5 3.876471+1 2.297591-5 3.558850+1 2.365000-5 3.362803+1 2.418506-5 3.212800+1 2.489510-5 3.018988+1 2.550487-5 2.858432+1 2.598500-5 2.735103+1 2.666745-5 2.562011+1 2.735082-5 2.393851+1 2.806808-5 2.219846+1 2.868399-5 2.072999+1 2.945508-5 1.892043+1 3.025045-5 1.707339+1 3.090295-5 1.558184+1 3.165323-5 1.388711+1 3.256278-5 1.184306+1 3.350000-5 9.738596+0 3.419940-5 8.203632+0 3.467599-5 7.163780+0 3.524063-5 5.942119+0 3.566400-5 5.050001+0 3.610145-5 4.145588+0 3.642937-5 3.476043+0 3.674190-5 2.854396+0 3.701536-5 2.332032+0 3.725464-5 1.895813+0 3.749037-5 1.489338+0 3.764721-5 1.235257+0 3.780751-5 9.934775-1 3.794777-5 8.010801-1 3.807050-5 6.513110-1 3.817789-5 5.376498-1 3.827185-5 4.538874-1 3.835407-5 3.942287-1 3.842601-5 3.534224-1 3.848896-5 3.268921-1 3.854404-5 3.108220-1 3.859223-5 3.021674-1 3.863440-5 2.985960-1 3.870820-5 3.007269-1 3.876355-5 3.086167-1 3.880506-5 3.176287-1 3.883620-5 3.259527-1 3.888290-5 3.407655-1 3.892960-5 3.583073-1 3.895355-5 3.684264-1 3.900000-5 3.905881-1 3.904937-5 4.188999-1 3.910103-5 4.561822-1 3.915287-5 5.055506-1 3.917073-5 5.263722-1 3.921706-5 5.926075-1 3.925786-5 6.698321-1 3.929225-5 7.530153-1 3.931288-5 8.126609-1 3.933683-5 8.926618-1 3.935480-5 9.612312-1 3.938175-5 1.079769+0 3.940870-5 1.219751+0 3.943265-5 1.364788+0 3.945062-5 1.487838+0 3.947757-5 1.698033+0 3.952847-5 2.192304+0 3.964226-5 3.901986+0 3.969616-5 5.094587+0 3.973808-5 6.235360+0 3.977177-5 7.305193+0 3.981839-5 9.036130+0 3.986490-5 1.108305+1 3.989458-5 1.257052+1 3.998362-5 1.796286+1 4.002449-5 2.093702+1 4.004258-5 2.235854+1 4.010692-5 2.794204+1 4.013450-5 3.058717+1 4.022642-5 4.045299+1 4.026414-5 4.493325+1 4.032447-5 5.253734+1 4.036785-5 5.827764+1 4.039543-5 6.201525+1 4.041612-5 6.485111+1 4.044715-5 6.913917+1 4.048696-5 7.466122+1 4.053041-5 8.065102+1 4.056900-5 8.587371+1 4.061396-5 9.176781+1 4.067069-5 9.878525+1 4.071972-5 1.043563+2 4.073678-5 1.061706+2 4.078548-5 1.109500+2 4.083314-5 1.150097+2 4.088527-5 1.186970+2 4.092926-5 1.211697+2 4.101493-5 1.242844+2 4.106745-5 1.251053+2 4.111615-5 1.251641+2 4.115592-5 1.247397+2 4.118575-5 1.241591+2 4.127524-5 1.211925+2 4.130143-5 1.200099+2 4.134726-5 1.176380+2 4.138164-5 1.156278+2 4.148477-5 1.085878+2 4.151369-5 1.063834+2 4.158663-5 1.004685+2 4.165569-5 9.449808+1 4.172163-5 8.856593+1 4.179517-5 8.180569+1 4.189221-5 7.286695+1 4.197266-5 6.562990+1 4.207229-5 5.712033+1 4.219683-5 4.749489+1 4.240150-5 3.464349+1 4.255429-5 2.741877+1 4.270708-5 2.185023+1 4.301265-5 1.404754+1 4.311451-5 1.210130+1 4.321637-5 1.039259+1 4.331823-5 8.892697+0 4.346917-5 7.011436+0 4.356426-5 6.014012+0 4.365340-5 5.196486+0 4.382056-5 3.930012+0 4.396681-5 3.058271+0 4.422276-5 1.929519+0 4.441473-5 1.328406+0 4.470267-5 7.178418-1 4.475840-5 6.342154-1 4.499061-5 3.965150-1 4.521209-5 3.378194-1 4.532283-5 3.755572-1 4.537200-5 4.081966-1 4.541596-5 4.462154-1 4.543357-5 4.638708-1 4.554431-5 6.086831-1 4.576578-5 1.092974+0 4.583220-5 1.293455+0 4.587797-5 1.446908+0 4.592892-5 1.632166+0 4.597264-5 1.802960+0 4.610382-5 2.374651+0 4.615501-5 2.618128+0 4.626806-5 3.182084+0 4.638111-5 3.758061+0 4.640937-5 3.899998+0 4.649416-5 4.311996+0 4.655407-5 4.584656+0 4.661125-5 4.825793+0 4.666843-5 5.044857+0 4.670965-5 5.187655+0 4.674056-5 5.286024+0 4.681012-5 5.479441+0 4.683330-5 5.535395+0 4.693222-5 5.729534+0 4.708896-5 5.924058+0 4.722621-5 6.055110+0 4.732118-5 6.172764+0 4.740638-5 6.323054+0 4.748768-5 6.520233+0 4.751394-5 6.596604+0 4.762109-5 6.975230+0 4.764541-5 7.075929+0 4.775726-5 7.601557+0 4.794718-5 8.651312+0 4.804000-5 9.180273+0 4.807946-5 9.398483+0 4.816629-5 9.852192+0 4.822409-5 1.012737+1 4.831673-5 1.051374+1 4.837801-5 1.072948+1 4.848179-5 1.102404+1 4.851638-5 1.110427+1 4.866199-5 1.136994+1 4.886685-5 1.168288+1 4.899211-5 1.194176+1 4.905152-5 1.210131+1 4.913063-5 1.235911+1 4.921183-5 1.268225+1 4.932993-5 1.326055+1 4.944873-5 1.396427+1 4.962728-5 1.521199+1 4.995505-5 1.788576+1 5.022403-5 2.030652+1 5.161012-5 3.766547+1 5.215000-5 4.749181+1 5.273753-5 6.058017+1 5.359364-5 8.526265+1 5.437471-5 1.151794+2 5.507480-5 1.495420+2 5.590775-5 2.019276+2 5.660541-5 2.576213+2 5.745211-5 3.427979+2 5.810482-5 4.235681+2 5.870262-5 5.103556+2 5.934923-5 6.188478+2 5.979942-5 7.032263+2 6.034919-5 8.155505+2 6.066646-5 8.845904+2 6.104991-5 9.715968+2 6.137927-5 1.049001+3 6.182186-5 1.155917+3 6.206443-5 1.215354+3 6.237348-5 1.291279+3 6.260000-5 1.346691+3 6.297500-5 1.437139+3 6.332500-5 1.519122+3 6.367500-5 1.597712+3 6.402500-5 1.671982+3 6.442500-5 1.750553+3 6.465000-5 1.791446+3 6.500000-5 1.849951+3 6.540000-5 1.908818+3 6.580000-5 1.958891+3 6.617930-5 1.998183+3 6.662970-5 2.034541+3 6.713067-5 2.062249+3 6.785200-5 2.080909+3 6.835884-5 2.081163+3 6.887188-5 2.072444+3 6.949813-5 2.052001+3 7.030000-5 2.014480+3 7.142044-5 1.947676+3 7.272370-5 1.858193+3 7.465315-5 1.722721+3 7.855816-5 1.469363+3 8.461814-5 1.154620+3 9.366180-5 8.284545+2 9.865459-5 7.032204+2 1.047129-4 5.874108+2 1.109899-4 4.947337+2 1.122226-4 4.781678+2 1.133346-4 4.629464+2 1.145067-4 4.457434+2 1.159145-4 4.248740+2 1.165464-4 4.181192+2 1.169407-4 4.154694+2 1.176708-4 4.135209+2 1.186085-4 4.131960+2 1.194768-4 4.108610+2 1.204422-4 4.052153+2 1.224163-4 3.908445+2 1.262652-4 3.621477+2 1.275020-4 3.565524+2 1.300000-4 3.498147+2 1.342043-4 3.330786+2 1.439235-4 2.993417+2 1.554023-4 2.675482+2 1.586167-4 2.587278+2 1.612491-4 2.495168+2 1.624397-4 2.454544+2 1.632335-4 2.441881+2 1.637503-4 2.444376+2 1.645700-4 2.467510+2 1.664087-4 2.556037+2 1.669432-4 2.570905+2 1.675846-4 2.574404+2 1.683546-4 2.558876+2 1.694444-4 2.514413+2 1.708611-4 2.455979+2 1.721465-4 2.425392+2 1.734890-4 2.413725+2 1.767358-4 2.399866+2 1.802505-4 2.375465+2 1.916825-4 2.316832+2 2.003895-4 2.292372+2 2.113489-4 2.279996+2 2.205688-4 2.277972+2 2.371373-4 2.288506+2 2.740391-4 2.341134+2 3.019952-4 2.376728+2 3.156257-4 2.386199+2 3.306550-4 2.387919+2 3.485531-4 2.375415+2 3.734997-4 2.331564+2 3.948818-4 2.267127+2 4.182060-4 2.162562+2 4.365862-4 2.052566+2 4.531584-4 1.931594+2 4.665600-4 1.816186+2 4.751984-4 1.733328+2 4.855680-4 1.623666+2 4.961637-4 1.498724+2 5.052687-4 1.381101+2 5.143929-4 1.252949+2 5.217951-4 1.140518+2 5.266319-4 1.062557+2 5.320517-4 9.707526+1 5.367940-4 8.869345+1 5.409436-4 8.112422+1 5.448162-4 7.385516+1 5.484311-4 6.688950+1 5.511809-4 6.149277+1 5.533112-4 5.727398+1 5.553056-4 5.331569+1 5.582131-4 4.759265+1 5.599929-4 4.416772+1 5.622114-4 4.005812+1 5.669117-4 3.239937+1 5.695736-4 2.907403+1 5.704272-4 2.823074+1 5.718690-4 2.712477+1 5.727420-4 2.668996+1 5.737827-4 2.645843+1 5.744728-4 2.650979+1 5.751026-4 2.672429+1 5.756413-4 2.705200+1 5.760609-4 2.741017+1 5.764708-4 2.785550+1 5.767720-4 2.824759+1 5.772624-4 2.901330+1 5.778223-4 3.009824+1 5.782657-4 3.113283+1 5.787099-4 3.233936+1 5.792868-4 3.418296+1 5.796223-4 3.541044+1 5.799500-4 3.672759+1 5.803750-4 3.862071+1 5.808376-4 4.093251+1 5.813222-4 4.365468+1 5.818557-4 4.703280+1 5.824029-4 5.094116+1 5.831520-4 5.707259+1 5.838550-4 6.370767+1 5.867425-4 1.010135+2 5.879475-4 1.217478+2 5.890234-4 1.428946+2 5.895859-4 1.549163+2 5.903064-4 1.712459+2 5.909992-4 1.878851+2 5.915687-4 2.022052+2 5.925999-4 2.294754+2 5.939305-4 2.667948+2 5.952306-4 3.049541+2 5.965307-4 3.440698+2 5.978000-4 3.824970+2 5.986464-4 4.079400+2 5.994423-4 4.315540+2 6.000876-4 4.503934+2 6.009415-4 4.747995+2 6.020408-4 5.051711+2 6.035100-4 5.436551+2 6.050485-4 5.811313+2 6.061084-4 6.052184+2 6.079478-4 6.437480+2 6.092242-4 6.681723+2 6.115000-4 7.074922+2 6.135191-4 7.384250+2 6.143692-4 7.504850+2 6.163952-4 7.772318+2 6.190000-4 8.081098+2 6.211094-4 8.307502+2 6.248543-4 8.668005+2 6.287174-4 8.992812+2 6.320934-4 9.238142+2 6.358395-4 9.464147+2 6.403793-4 9.669088+2 6.434688-4 9.767930+2 6.476382-4 9.858888+2 6.545000-4 9.937590+2 6.631250-4 9.969029+2 7.027436-4 9.921532+2 7.477969-4 1.001059+3 7.656833-4 9.992879+2 7.786958-4 9.919898+2 7.881218-4 9.812998+2 8.001918-4 9.639755+2 8.041397-4 9.634721+2 8.077289-4 9.687422+2 8.112720-4 9.802948+2 8.139138-4 9.927211+2 8.231892-4 1.047804+3 8.276301-4 1.071067+3 8.329444-4 1.091533+3 8.400579-4 1.108154+3 8.551898-4 1.127200+3 8.611513-4 1.137357+3 8.661979-4 1.149816+3 8.766713-4 1.183301+3 8.856574-4 1.209898+3 8.951071-4 1.230436+3 9.088392-4 1.251153+3 9.256055-4 1.268963+3 9.398438-4 1.279491+3 9.668024-4 1.293853+3 9.896208-4 1.314471+3 1.011442-3 1.347218+3 1.022363-3 1.361450+3 1.039629-3 1.377538+3 1.079831-3 1.402997+3 1.106028-3 1.414895+3 1.167709-3 1.430235+3 1.253223-3 1.439498+3 1.347508-3 1.440646+3 1.443881-3 1.433195+3 1.595334-3 1.408028+3 1.713115-3 1.384731+3 1.871796-3 1.346772+3 1.970295-3 1.322889+3 2.241542-3 1.251781+3 2.469027-3 1.191040+3 2.585235-3 1.160540+3 2.697837-3 1.130300+3 2.837538-3 1.093016+3 2.969685-3 1.058280+3 3.118625-3 1.018248+3 3.248961-3 9.825505+2 3.377221-3 9.466956+2 3.501344-3 9.114615+2 3.607503-3 8.803684+2 3.710196-3 8.483497+2 3.797555-3 8.193428+2 3.872298-3 7.928631+2 3.941124-3 7.665325+2 4.004437-3 7.399317+2 4.048963-3 7.192755+2 4.091668-3 6.973716+2 4.125083-3 6.782855+2 4.157573-3 6.573196+2 4.186973-3 6.352310+2 4.210103-3 6.147578+2 4.229522-3 5.948741+2 4.253935-3 5.665656+2 4.287802-3 5.269500+2 4.299992-3 5.155725+2 4.309861-3 5.086072+2 4.321282-3 5.036938+2 4.325621-3 5.028089+2 4.334377-3 5.027464+2 4.343222-3 5.050106+2 4.352242-3 5.095910+2 4.363288-3 5.179172+2 4.377437-3 5.318554+2 4.408207-3 5.668912+2 4.428432-3 5.876346+2 4.443674-3 6.002743+2 4.461904-3 6.115805+2 4.479474-3 6.187236+2 4.498603-3 6.228390+2 4.516758-3 6.238937+2 4.574592-3 6.208825+2 4.586446-3 6.219613+2 4.598600-3 6.245970+2 4.618908-3 6.329518+2 4.642548-3 6.484420+2 4.692849-3 6.896561+2 4.712158-3 7.036283+2 4.732236-3 7.155699+2 4.751742-3 7.245536+2 4.776615-3 7.326760+2 4.800622-3 7.376978+2 4.863198-3 7.452878+2 4.883481-3 7.489745+2 4.911670-3 7.572534+2 4.942785-3 7.706729+2 5.004999-3 8.014973+2 5.048224-3 8.183648+2 5.078661-3 8.273137+2 5.149516-3 8.422149+2 5.202954-3 8.503359+2 5.302507-3 8.607703+2 5.422499-3 8.679068+2 5.551195-3 8.711050+2 5.769769-3 8.700209+2 5.980242-3 8.628086+2 6.239679-3 8.494622+2 6.584791-3 8.271642+2 7.003458-3 7.961426+2 7.508391-3 7.569534+2 8.150900-3 7.079687+2 8.921896-3 6.527660+2 9.768967-3 5.979961+2 1.110221-2 5.240785+2 1.268872-2 4.528148+2 1.420958-2 3.973234+2 1.551452-2 3.570714+2 1.673767-2 3.241722+2 1.814471-2 2.909558+2 1.949077-2 2.630851+2 2.115605-2 2.330564+2 2.274564-2 2.082074+2 2.458512-2 1.832527+2 2.606184-2 1.655576+2 2.731117-2 1.517773+2 2.826945-2 1.416763+2 2.904858-2 1.335193+2 2.969056-2 1.265941+2 3.018255-2 1.208926+2 3.050578-2 1.167213+2 3.066500-2 1.144306+2 3.080957-2 1.121365+2 3.093007-2 1.100201+2 3.109813-2 1.067179+2 3.147491-2 9.883647+1 3.160618-2 9.683290+1 3.171369-2 9.587080+1 3.182823-2 9.564063+1 3.194278-2 9.621394+1 3.205667-2 9.743361+1 3.246640-2 1.035918+2 3.268206-2 1.060652+2 3.290765-2 1.077240+2 3.319618-2 1.088944+2 3.354844-2 1.095176+2 3.401064-2 1.096295+2 3.481969-2 1.088169+2 3.565257-2 1.072459+2 3.678513-2 1.044677+2 3.824531-2 1.004258+2 4.041686-2 9.418624+1 4.279972-2 8.754693+1 4.564949-2 8.014162+1 4.937222-2 7.155347+1 5.403718-2 6.234701+1 5.956728-2 5.332929+1 6.578471-2 4.518593+1 7.513863-2 3.593183+1 9.168327-2 2.525335+1 1.112218-1 1.786957+1 1.353474-1 1.248717+1 1.795132-1 7.397211+0 2.228098-1 4.918743+0 2.936948-1 2.892365+0 4.199150-1 1.442834+0 6.327760-1 6.449547-1 9.821925-1 2.701725-1 2.039158+0 6.306686-2 6.158159+0 6.927261-3 1.859734+1 7.597088-4 5.616308+1 8.330222-5 1.696098+2 9.133928-6 5.122134+2 1.001516-6 1.584893+3 1.046067-7 5.011872+3 1.046067-8 1.584893+4 1.046067-9 5.011872+4 1.04607-10 1.000000+5 2.62760-11 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.203100-6 1.258900-6 1.906800-6 1.584900-6 3.022100-6 1.995300-6 4.789800-6 2.511900-6 7.591200-6 3.162300-6 1.203100-5 3.981100-6 1.906800-5 5.011900-6 3.022100-5 6.309600-6 4.789600-5 7.943300-6 7.591000-5 1.000000-5 1.203100-4 1.258900-5 1.906700-4 1.584900-5 3.021900-4 1.995300-5 4.789300-4 2.511900-5 7.590300-4 3.162300-5 1.202900-3 3.981100-5 1.906400-3 5.011900-5 3.021300-3 6.309600-5 4.788100-3 7.943300-5 7.582800-3 1.000000-4 1.200600-2 1.258900-4 1.901300-2 1.584900-4 3.007200-2 1.995300-4 4.754000-2 2.511900-4 7.502200-2 3.162300-4 1.181200-1 3.981100-4 1.852700-1 5.011900-4 2.887800-1 6.309600-4 4.450800-1 7.943300-4 6.759800-1 1.000000-3 1.006300+0 1.258900-3 1.459900+0 1.584900-3 2.056200+0 1.995300-3 2.806600+0 2.511900-3 3.721900+0 3.162300-3 4.800500+0 3.981100-3 6.021100+0 5.011900-3 7.375800+0 6.309600-3 8.882100+0 7.943300-3 1.056500+1 1.000000-2 1.242700+1 1.258900-2 1.438400+1 1.584900-2 1.628900+1 1.995300-2 1.805800+1 2.511900-2 1.965000+1 3.162300-2 2.102500+1 3.981100-2 2.211700+1 5.011900-2 2.288200+1 6.309600-2 2.328400+1 7.943300-2 2.328100+1 1.000000-1 2.291700+1 1.258900-1 2.221900+1 1.584900-1 2.130100+1 1.995300-1 2.017400+1 2.511900-1 1.890900+1 3.162300-1 1.756600+1 3.981100-1 1.618900+1 5.011900-1 1.481500+1 6.309600-1 1.347000+1 7.943300-1 1.217000+1 1.000000+0 1.092500+1 1.258900+0 9.744800+0 1.584900+0 8.637300+0 1.995300+0 7.605900+0 2.511900+0 6.654900+0 3.162300+0 5.786900+0 3.981100+0 5.002300+0 5.011900+0 4.299900+0 6.309600+0 3.676900+0 7.943300+0 3.129000+0 1.000000+1 2.651000+0 1.258900+1 2.236900+0 1.584900+1 1.880700+0 1.995300+1 1.575900+0 2.511900+1 1.316500+0 3.162300+1 1.096900+0 3.981100+1 9.116800-1 5.011900+1 7.560600-1 6.309600+1 6.257400-1 7.943300+1 5.169500-1 1.000000+2 4.263600-1 1.258900+2 3.511200-1 1.584900+2 2.887500-1 1.995300+2 2.371600-1 2.511900+2 1.945600-1 3.162300+2 1.594400-1 3.981100+2 1.305300-1 5.011900+2 1.067600-1 6.309600+2 8.723800-2 7.943300+2 7.123000-2 1.000000+3 5.811500-2 1.258900+3 4.738100-2 1.584900+3 3.860300-2 1.995300+3 3.143100-2 2.511900+3 2.557600-2 3.162300+3 2.079900-2 3.981100+3 1.690600-2 5.011900+3 1.373400-2 6.309600+3 1.115100-2 7.943300+3 9.050100-3 1.000000+4 7.341500-3 1.258900+4 5.952800-3 1.584900+4 4.824900-3 1.995300+4 3.909000-3 2.511900+4 3.165800-3 3.162300+4 2.563000-3 3.981100+4 2.074200-3 5.011900+4 1.678000-3 6.309600+4 1.357100-3 7.943300+4 1.097100-3 1.000000+5 8.867300-4 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159546-4 3.981072-4 3.976749-4 5.011872-4 5.005039-4 6.309573-4 6.298788-4 7.943282-4 7.926290-4 1.000000-3 9.973289-4 1.258925-3 1.254730-3 1.584893-3 1.578349-3 1.995262-3 1.985057-3 2.511886-3 2.495969-3 3.162278-3 3.137511-3 3.981072-3 3.942587-3 5.011872-3 4.952097-3 6.309573-3 6.216686-3 7.943282-3 7.798489-3 1.000000-2 9.774257-3 1.258925-2 1.223854-2 1.584893-2 1.530737-2 1.995262-2 1.912048-2 2.511886-2 2.384460-2 3.162278-2 2.967854-2 3.981072-2 3.685701-2 5.011872-2 4.566050-2 6.309573-2 5.641263-2 7.943282-2 6.950150-2 1.000000-1 8.534771-2 1.258925-1 1.045375-1 1.584893-1 1.274757-1 1.995262-1 1.550058-1 2.511886-1 1.878571-1 3.162278-1 2.269185-1 3.981072-1 2.732307-1 5.011872-1 3.279658-1 6.309573-1 3.925337-1 7.943282-1 4.684560-1 1.000000+0 5.579231-1 1.258925+0 6.633446-1 1.584893+0 7.876199-1 1.995262+0 9.347042-1 2.511886+0 1.109226+0 3.162278+0 1.316948+0 3.981072+0 1.564911+0 5.011872+0 1.861742+0 6.309573+0 2.217908+0 7.943282+0 2.646387+0 1.000000+1 3.163024+0 1.258925+1 3.787048+0 1.584893+1 4.542194+0 1.995262+1 5.457414+0 2.511886+1 6.568059+0 3.162278+1 7.918072+0 3.981072+1 9.560741+0 5.011872+1 1.156141+1 6.309573+1 1.400104+1 7.943282+1 1.697867+1 1.000000+2 2.061593+1 1.258925+2 2.506333+1 1.584893+2 3.050489+1 1.995262+2 3.716843+1 2.511886+2 4.533340+1 3.162278+2 5.534600+1 3.981072+2 6.763040+1 5.011872+2 8.271372+1 6.309573+2 1.012430+2 7.943282+2 1.240185+2 1.000000+3 1.520279+2 1.258925+3 1.864927+2 1.584893+3 2.289167+2 1.995262+3 2.811686+2 2.511886+3 3.455631+2 3.162278+3 4.249389+2 3.981072+3 5.228226+2 5.011872+3 6.435821+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090662-8 7.943282-5 1.728170-8 1.000000-4 2.738498-8 1.258925-4 4.339809-8 1.584893-4 6.875213-8 1.995262-4 1.089229-7 2.511886-4 1.725139-7 3.162278-4 2.731177-7 3.981072-4 4.322280-7 5.011872-4 6.833239-7 6.309573-4 1.078514-6 7.943282-4 1.699203-6 1.000000-3 2.671062-6 1.258925-3 4.195009-6 1.584893-3 6.544562-6 1.995262-3 1.020544-5 2.511886-3 1.591735-5 3.162278-3 2.476710-5 3.981072-3 3.848516-5 5.011872-3 5.977497-5 6.309573-3 9.288763-5 7.943282-3 1.447934-4 1.000000-2 2.257434-4 1.258925-2 3.507161-4 1.584893-2 5.415596-4 1.995262-2 8.321410-4 2.511886-2 1.274261-3 3.162278-2 1.944241-3 3.981072-2 2.953711-3 5.011872-2 4.458224-3 6.309573-2 6.683106-3 7.943282-2 9.931322-3 1.000000-1 1.465229-2 1.258925-1 2.135504-2 1.584893-1 3.101363-2 1.995262-1 4.452046-2 2.511886-1 6.333152-2 3.162278-1 8.930929-2 3.981072-1 1.248765-1 5.011872-1 1.732214-1 6.309573-1 2.384237-1 7.943282-1 3.258723-1 1.000000+0 4.420769-1 1.258925+0 5.955808-1 1.584893+0 7.972733-1 1.995262+0 1.060558+0 2.511886+0 1.402661+0 3.162278+0 1.845329+0 3.981072+0 2.416160+0 5.011872+0 3.150130+0 6.309573+0 4.091665+0 7.943282+0 5.296895+0 1.000000+1 6.836976+0 1.258925+1 8.802206+0 1.584893+1 1.130674+1 1.995262+1 1.449521+1 2.511886+1 1.855081+1 3.162278+1 2.370470+1 3.981072+1 3.024998+1 5.011872+1 3.855732+1 6.309573+1 4.909469+1 7.943282+1 6.245415+1 1.000000+2 7.938407+1 1.258925+2 1.008292+2 1.584893+2 1.279844+2 1.995262+2 1.623578+2 2.511886+2 2.058552+2 3.162278+2 2.608818+2 3.981072+2 3.304768+2 5.011872+2 4.184735+2 6.309573+2 5.297143+2 7.943282+2 6.703098+2 1.000000+3 8.479721+2 1.258925+3 1.072433+3 1.584893+3 1.355976+3 1.995262+3 1.714094+3 2.511886+3 2.166323+3 3.162278+3 2.737339+3 3.981072+3 3.458249+3 5.011872+3 4.368290+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 8.310000-6 5.679660+7 8.511380-6 5.497492+7 8.810489-6 5.209770+7 9.120108-6 4.901448+7 9.230000-6 4.786177+7 9.230000-6 7.471743+7 9.500000-6 7.114304+7 9.549926-6 7.046249+7 9.772372-6 6.743847+7 9.850000-6 6.639533+7 1.000000-5 6.433908+7 1.023293-5 6.122260+7 1.035142-5 5.964987+7 1.060000-5 5.640910+7 1.071519-5 5.493548+7 1.100000-5 5.141465+7 1.110000-5 5.021060+7 1.150000-5 4.563399+7 1.188502-5 4.153794+7 1.202264-5 4.016796+7 1.230269-5 3.748902+7 1.270000-5 3.401560+7 1.288400-5 3.251354+7 1.350000-5 2.799593+7 1.428894-5 2.317283+7 1.445440-5 2.228817+7 1.531087-5 1.828764+7 1.570000-5 1.675944+7 1.659587-5 1.378565+7 1.778279-5 1.078733+7 1.845000-5 9.461707+6 1.845000-5 9.681823+6 1.880000-5 9.039194+6 1.927525-5 8.251400+6 1.972423-5 7.585708+6 2.020000-5 6.954009+6 2.070000-5 6.361623+6 2.170000-5 5.360434+6 2.213095-5 4.992458+6 2.250000-5 4.705610+6 2.277000-5 4.509374+6 2.300000-5 4.350653+6 2.317395-5 4.235504+6 2.322000-5 4.205840+6 2.344229-5 4.066531+6 2.365000-5 3.941854+6 2.385000-5 3.826574+6 2.405000-5 3.715752+6 2.426610-5 3.600781+6 2.442000-5 3.521791+6 2.460000-5 3.432328+6 2.477000-5 3.350618+6 2.500000-5 3.244184+6 2.511886-5 3.190980+6 2.520000-5 3.155670+6 2.540973-5 3.066862+6 2.560000-5 2.989206+6 2.587000-5 2.883534+6 2.610000-5 2.797498+6 2.640000-5 2.690471+6 2.670000-5 2.588983+6 2.691535-5 2.519372+6 2.710000-5 2.462061+6 2.770000-5 2.287901+6 2.818383-5 2.159707+6 2.900000-5 1.967487+6 2.980000-5 1.801804+6 3.054921-5 1.664179+6 3.090295-5 1.604382+6 3.126079-5 1.547451+6 3.198895-5 1.441602+6 3.273407-5 1.344009+6 3.350000-5 1.253623+6 3.427678-5 1.170993+6 3.507519-5 1.095397+6 3.589219-5 1.025495+6 3.610000-5 1.008999+6 3.715352-5 9.311819+5 3.801894-5 8.750076+5 3.900000-5 8.176092+5 4.027170-5 7.517628+5 4.030000-5 7.504314+5 4.120975-5 7.092738+5 4.168694-5 6.894472+5 4.315191-5 6.337496+5 4.466836-5 5.845964+5 4.570882-5 5.543501+5 4.650000-5 5.339778+5 4.841724-5 4.893169+5 4.850000-5 4.876025+5 4.918000-5 4.736470+5 4.918000-5 1.878055+6 4.954502-5 1.906234+6 4.990000-5 1.943701+6 5.020000-5 1.983518+6 5.061000-5 2.052648+6 5.069907-5 2.071013+6 5.071000-5 2.073277+6 5.071000-5 2.965965+6 5.095000-5 3.032130+6 5.100000-5 3.047749+6 5.128614-5 3.142917+6 5.130000-5 3.147625+6 5.160000-5 3.265158+6 5.190000-5 3.401654+6 5.220000-5 3.559737+6 5.230000-5 3.616087+6 5.250000-5 3.739922+6 5.270000-5 3.872303+6 5.290000-5 4.018441+6 5.308844-5 4.165300+6 5.315000-5 4.214508+6 5.350000-5 4.527864+6 5.385000-5 4.889169+6 5.400000-5 5.056512+6 5.420000-5 5.298501+6 5.450000-5 5.691990+6 5.465000-5 5.906298+6 5.500000-5 6.448272+6 5.540000-5 7.157534+6 5.559043-5 7.527759+6 5.560000-5 7.546859+6 5.595000-5 8.296202+6 5.650000-5 9.644902+6 5.688529-5 1.073740+7 5.710000-5 1.139802+7 5.800000-5 1.465853+7 5.821032-5 1.554565+7 5.900000-5 1.927281+7 5.956621-5 2.235539+7 5.970000-5 2.314996+7 6.000000-5 2.494096+7 6.025596-5 2.657285+7 6.050000-5 2.815911+7 6.070000-5 2.950668+7 6.110000-5 3.226126+7 6.116700-5 3.273723+7 6.150000-5 3.506936+7 6.165950-5 3.624141+7 6.200000-5 3.866583+7 6.220000-5 4.007983+7 6.237348-5 4.131107+7 6.240000-5 4.150241+7 6.260000-5 4.287632+7 6.280000-5 4.425188+7 6.300000-5 4.557157+7 6.309573-5 4.619349+7 6.315000-5 4.654960+7 6.340000-5 4.810394+7 6.350000-5 4.871013+7 6.385000-5 5.071532+7 6.420000-5 5.251158+7 6.465000-5 5.449719+7 6.500000-5 5.577123+7 6.531306-5 5.666800+7 6.540000-5 5.691980+7 6.541300-5 5.695278+7 6.580000-5 5.775372+7 6.612800-5 5.817018+7 6.630000-5 5.833571+7 6.650000-5 5.842789+7 6.683439-5 5.847026+7 6.690000-5 5.845112+7 6.730000-5 5.821105+7 6.770000-5 5.771391+7 6.785000-5 5.748696+7 6.815000-5 5.693385+7 6.839116-5 5.642329+7 6.850000-5 5.619512+7 6.870000-5 5.571817+7 6.918310-5 5.446851+7 6.920000-5 5.442548+7 6.970000-5 5.294660+7 7.000000-5 5.202848+7 7.030000-5 5.106327+7 7.110000-5 4.845485+7 7.161434-5 4.669336+7 7.190000-5 4.574836+7 7.244360-5 4.394758+7 7.300000-5 4.211908+7 7.328245-5 4.119482+7 7.400000-5 3.895227+7 7.413102-5 3.854574+7 7.450000-5 3.742731+7 7.585776-5 3.353708+7 7.673615-5 3.117430+7 7.762471-5 2.897883+7 7.950000-5 2.475821+7 8.035261-5 2.301824+7 8.150000-5 2.089460+7 8.350000-5 1.760591+7 8.400000-5 1.686981+7 8.413951-5 1.666695+7 8.570000-5 1.457858+7 8.609938-5 1.408749+7 8.650000-5 1.361387+7 8.810489-5 1.186551+7 8.912509-5 1.087701+7 9.120108-5 9.120911+6 9.225714-5 8.345463+6 9.300000-5 7.839425+6 9.332543-5 7.628900+6 9.500000-5 6.643078+6 9.549926-5 6.375576+6 9.660509-5 5.820281+6 9.900000-5 4.797737+6 9.950000-5 4.611352+6 1.011579-4 4.040281+6 1.040000-4 3.241231+6 1.047129-4 3.067735+6 1.059254-4 2.796932+6 1.083927-4 2.327540+6 1.109175-4 1.935915+6 1.120000-4 1.792307+6 1.174898-4 1.233853+6 1.202264-4 1.037866+6 1.205000-4 1.020471+6 1.209200-4 9.953012+5 1.209200-4 1.413697+6 1.225000-4 1.327937+6 1.230269-4 1.300775+6 1.233400-4 1.285538+6 1.244515-4 1.234948+6 1.250000-4 1.210682+6 1.260000-4 1.169770+6 1.265000-4 1.150705+6 1.270000-4 1.132765+6 1.280000-4 1.097528+6 1.295000-4 1.051188+6 1.300000-4 1.037088+6 1.303167-4 1.028626+6 1.307000-4 1.018278+6 1.309700-4 1.011397+6 1.309700-4 1.184897+6 1.318257-4 1.165076+6 1.320000-4 1.161288+6 1.322000-4 1.156724+6 1.330000-4 1.139773+6 1.335900-4 1.126980+6 1.345000-4 1.109504+6 1.350000-4 1.099748+6 1.365000-4 1.073246+6 1.380384-4 1.049448+6 1.396368-4 1.028570+6 1.400000-4 1.024521+6 1.412538-4 1.010550+6 1.428894-4 9.955831+5 1.430000-4 9.946593+5 1.445440-4 9.832682+5 1.462177-4 9.736012+5 1.465000-4 9.721121+5 1.470000-4 9.698874+5 1.480000-4 9.659030+5 1.485000-4 9.642158+5 1.500000-4 9.601578+5 1.520000-4 9.570026+5 1.531087-4 9.569174+5 1.540000-4 9.569158+5 1.548817-4 9.573245+5 1.550000-4 9.573855+5 1.566751-4 9.592000+5 1.584893-4 9.631814+5 1.600000-4 9.672563+5 1.620000-4 9.736101+5 1.621810-4 9.742441+5 1.645700-4 9.837793+5 1.670000-4 9.944214+5 1.698244-4 1.008060+6 1.720000-4 1.019642+6 1.743300-4 1.032274+6 1.743300-4 1.174707+6 1.757924-4 1.185587+6 1.760000-4 1.187045+6 1.778279-4 1.199750+6 1.780000-4 1.200986+6 1.819701-4 1.227165+6 1.820000-4 1.227367+6 1.825000-4 1.230646+6 1.840772-4 1.240678+6 1.870000-4 1.258662+6 1.883649-4 1.266862+6 1.900000-4 1.276327+6 1.910000-4 1.281754+6 1.930000-4 1.292180+6 1.950000-4 1.302916+6 1.955000-4 1.305296+6 1.972423-4 1.313177+6 2.000000-4 1.325808+6 2.041738-4 1.341510+6 2.065380-4 1.350140+6 2.089296-4 1.357323+6 2.113489-4 1.364740+6 2.120000-4 1.366606+6 2.162719-4 1.376131+6 2.190000-4 1.382316+6 2.238721-4 1.390099+6 2.264644-4 1.394297+6 2.317395-4 1.399362+6 2.350000-4 1.402227+6 2.426610-4 1.404531+6 2.430000-4 1.404639+6 2.454709-4 1.404172+6 2.511886-4 1.403045+6 2.540973-4 1.400706+6 2.620000-4 1.394617+6 2.650000-4 1.390899+6 2.660725-4 1.389523+6 2.722701-4 1.381544+6 2.730000-4 1.380556+6 2.800000-4 1.368154+6 2.818383-4 1.364880+6 2.851018-4 1.359147+6 2.884032-4 1.352022+6 2.951209-4 1.337709+6 2.985383-4 1.330396+6 3.019952-4 1.321614+6 3.054921-4 1.312889+6 3.126079-4 1.295613+6 3.198895-4 1.275812+6 3.200000-4 1.275517+6 3.280000-4 1.254121+6 3.388442-4 1.223142+6 3.467369-4 1.201340+6 3.548134-4 1.177264+6 3.630781-4 1.153661+6 3.672823-4 1.141943+6 3.715352-4 1.129386+6 3.758374-4 1.116868+6 3.890451-4 1.079566+6 3.981072-4 1.053539+6 4.027170-4 1.040757+6 4.120975-4 1.015509+6 4.216965-4 9.889632+5 4.265795-4 9.759507+5 4.365158-4 9.502989+5 4.518559-4 9.108658+5 4.570882-4 8.979265+5 4.623810-4 8.851236+5 4.677351-4 8.721660+5 4.731513-4 8.590192+5 4.954502-4 8.083930+5 5.011872-4 7.958581+5 5.069907-4 7.831042+5 5.128614-4 7.704938+5 5.248075-4 7.458739+5 5.308844-4 7.338607+5 5.400000-4 7.161473+5 5.432503-4 7.098580+5 5.500000-4 6.969798+5 5.688529-4 6.628701+5 5.800000-4 6.436448+5 5.827400-4 6.389477+5 5.827400-4 6.644767+5 5.845000-4 6.846161+5 5.857000-4 7.089603+5 5.868000-4 7.428442+5 5.877000-4 7.818800+5 5.885000-4 8.276760+5 5.888437-4 8.510073+5 5.893000-4 8.864628+5 5.900000-4 9.508554+5 5.905000-4 1.005364+6 5.910000-4 1.067755+6 5.917000-4 1.169591+6 5.923000-4 1.271266+6 5.929000-4 1.387563+6 5.931000-4 1.374283+6 5.937400-4 1.457461+6 5.937400-4 1.874479+6 5.950000-4 2.125605+6 5.956621-4 2.243613+6 5.960000-4 2.307377+6 5.976500-4 2.635233+6 5.978000-4 2.659691+6 5.996000-4 2.925997+6 6.009000-4 3.114307+6 6.011000-4 3.208423+6 6.035100-4 3.381180+6 6.056200-4 3.499124+6 6.095369-4 3.734686+6 6.100000-4 3.764050+6 6.111000-4 3.822768+6 6.115000-4 3.833575+6 6.190000-4 3.989120+6 6.200000-4 4.005732+6 6.220000-4 4.029133+6 6.237348-4 4.041785+6 6.280000-4 4.073439+6 6.335000-4 4.081695+6 6.370000-4 4.057694+6 6.382635-4 4.043522+6 6.410000-4 4.013128+6 6.460000-4 3.925021+6 6.480000-4 3.886014+6 6.531306-4 3.800630+6 6.550000-4 3.770203+6 6.580000-4 3.722675+6 6.606934-4 3.675915+6 6.650000-4 3.602725+6 6.683439-4 3.549503+6 6.700000-4 3.519563+6 6.780000-4 3.401669+6 6.850000-4 3.307285+6 6.930000-4 3.207287+6 7.000000-4 3.128918+6 7.079458-4 3.046965+6 7.080000-4 3.046416+6 7.120000-4 3.008551+6 7.161434-4 2.971886+6 7.244360-4 2.900349+6 7.300000-4 2.853770+6 7.328245-4 2.830900+6 7.413102-4 2.763639+6 7.498942-4 2.697934+6 7.500000-4 2.697139+6 7.585776-4 2.633734+6 7.673615-4 2.570322+6 7.800000-4 2.482105+6 7.943282-4 2.387244+6 8.148500-4 2.260189+6 8.148500-4 2.551179+6 8.200000-4 2.520666+6 8.222426-4 2.507559+6 8.317638-4 2.453141+6 8.370000-4 2.424009+6 8.511380-4 2.346747+6 8.609938-4 2.294052+6 8.670900-4 2.261388+6 8.670900-4 2.348477+6 8.672700-4 2.350083+6 8.675000-4 2.352969+6 8.677000-4 2.355233+6 8.678000-4 2.353712+6 8.683000-4 2.355463+6 8.696000-4 2.353294+6 8.697000-4 2.353589+6 8.708000-4 2.350093+6 8.747000-4 2.333297+6 8.800000-4 2.309162+6 8.810489-4 2.304259+6 8.850000-4 2.285974+6 8.865000-4 2.279020+6 8.950000-4 2.238581+6 9.015711-4 2.207485+6 9.050000-4 2.191112+6 9.120108-4 2.157699+6 9.225714-4 2.108842+6 9.280000-4 2.083965+6 9.332543-4 2.060147+6 9.440609-4 2.011835+6 9.500000-4 1.985977+6 9.549926-4 1.964379+6 9.885531-4 1.828138+6 9.910800-4 1.818319+6 9.910800-4 1.895417+6 1.000000-3 1.860893+6 1.011579-3 1.817184+6 1.047129-3 1.691103+6 1.050000-3 1.681511+6 1.059254-3 1.651113+6 1.070000-3 1.616879+6 1.071519-3 1.612104+6 1.083927-3 1.573074+6 1.090000-3 1.554500+6 1.096478-3 1.534940+6 1.110000-3 1.494923+6 1.122018-3 1.460647+6 1.135011-3 1.424822+6 1.161449-3 1.355927+6 1.170000-3 1.334567+6 1.174898-3 1.322538+6 1.188502-3 1.289613+6 1.202264-3 1.257531+6 1.216186-3 1.225951+6 1.230269-3 1.195213+6 1.258925-3 1.136118+6 1.273503-3 1.107554+6 1.300000-3 1.057585+6 1.303167-3 1.051834+6 1.318257-3 1.024691+6 1.364583-3 9.475885+5 1.380384-3 9.232551+5 1.396368-3 8.992294+5 1.412538-3 8.758677+5 1.428894-3 8.530821+5 1.440000-3 8.379840+5 1.479108-3 7.878277+5 1.496236-3 7.671111+5 1.513561-3 7.469530+5 1.531087-3 7.273387+5 1.566751-3 6.895777+5 1.570000-3 6.862835+5 1.584893-3 6.713194+5 1.603245-3 6.535312+5 1.621810-3 6.360949+5 1.650000-3 6.109095+5 1.659587-3 6.026591+5 1.678804-3 5.865387+5 1.698244-3 5.708637+5 1.717908-3 5.556184+5 1.757924-3 5.261034+5 1.778279-3 5.119062+5 1.798871-3 4.980926+5 1.819701-3 4.846747+5 1.862087-3 4.587780+5 1.883649-3 4.463320+5 1.927525-3 4.224679+5 1.949845-3 4.110334+5 1.950000-3 4.109556+5 1.972423-3 3.998286+5 2.000000-3 3.866521+5 2.018366-3 3.781457+5 2.041738-3 3.677067+5 2.065380-3 3.575712+5 2.187762-3 3.111106+5 2.220000-3 3.002680+5 2.238721-3 2.941827+5 2.290868-3 2.780049+5 2.300000-3 2.753046+5 2.317395-3 2.702631+5 2.398833-3 2.483669+5 2.426610-3 2.414907+5 2.454709-3 2.347628+5 2.483133-3 2.281609+5 2.511886-3 2.217478+5 2.540973-3 2.154946+5 2.600160-3 2.035164+5 2.630268-3 1.977894+5 2.691535-3 1.868379+5 2.754229-3 1.764830+5 2.786121-3 1.715062+5 2.818383-3 1.666377+5 2.917427-3 1.528331+5 2.951209-3 1.484903+5 2.985383-3 1.442756+5 3.000000-3 1.425257+5 3.019952-3 1.401844+5 3.054921-3 1.361987+5 3.090295-3 1.323137+5 3.126079-3 1.285199+5 3.150000-3 1.260671+5 3.273407-3 1.143895+5 3.311311-3 1.111151+5 3.349654-3 1.079277+5 3.388442-3 1.048340+5 3.427678-3 1.018331+5 3.467369-3 9.890783+4 3.500000-3 9.659213+4 3.507519-3 9.606568+4 3.548134-3 9.328226+4 3.589219-3 9.057504+4 3.672823-3 8.540306+4 3.715352-3 8.293263+4 3.758374-3 8.053565+4 3.845918-3 7.593847+4 3.900000-3 7.328388+4 3.935501-3 7.159622+4 4.000000-3 6.866660+4 4.073803-3 6.551308+4 4.120975-3 6.360152+4 4.168694-3 6.174608+4 4.265795-3 5.819145+4 4.315191-3 5.649446+4 4.339700-3 5.567837+4 4.339700-3 1.714773+5 4.365158-3 1.693170+5 4.370000-3 1.689102+5 4.410000-3 1.655956+5 4.415704-3 1.650973+5 4.480000-3 1.596260+5 4.518559-3 1.558875+5 4.520000-3 1.557500+5 4.570882-3 1.513416+5 4.618200-3 1.473970+5 4.618200-3 2.017495+5 4.623810-3 2.011527+5 4.650000-3 1.983997+5 4.677351-3 1.955242+5 4.770000-3 1.861959+5 4.786301-3 1.845414+5 4.897788-3 1.737553+5 4.914200-3 1.722409+5 4.914200-3 1.984071+5 4.954502-3 1.943790+5 5.011872-3 1.888339+5 5.080000-3 1.825346+5 5.128614-3 1.782819+5 5.248075-3 1.684113+5 5.300000-3 1.642954+5 5.350000-3 1.604640+5 5.370318-3 1.589318+5 5.500000-3 1.495774+5 5.559043-3 1.455740+5 5.623413-3 1.413754+5 5.688529-3 1.372987+5 5.754399-3 1.332997+5 5.821032-3 1.293854+5 5.888437-3 1.255881+5 5.956621-3 1.219030+5 6.025596-3 1.183287+5 6.095369-3 1.148623+5 6.237348-3 1.082395+5 6.382635-3 1.019557+5 6.456542-3 9.895549+4 6.531306-3 9.604340+4 6.683439-3 9.045469+4 6.760830-3 8.778460+4 6.800000-3 8.647523+4 6.839116-3 8.518992+4 6.918310-3 8.266882+4 7.079458-3 7.781757+4 7.161434-3 7.549920+4 7.244360-3 7.326413+4 7.328245-3 7.109676+4 7.413102-3 6.899491+4 7.585776-3 6.497833+4 7.673615-3 6.305981+4 7.762471-3 6.119203+4 8.128305-3 5.421398+4 8.222426-3 5.259845+4 8.317638-3 5.103221+4 8.413951-3 4.950875+4 8.511380-3 4.801396+4 8.609938-3 4.656499+4 8.709636-3 4.515998+4 8.810489-3 4.379808+4 9.015711-3 4.119954+4 9.120108-3 3.995172+4 9.225714-3 3.874185+4 9.332543-3 3.756402+4 9.440609-3 3.642139+4 9.549926-3 3.531428+4 9.660509-3 3.424159+4 9.885531-3 3.219389+4 1.000000-2 3.121763+4 1.011579-2 3.026994+4 1.035142-2 2.844869+4 1.047129-2 2.758050+4 1.059254-2 2.673952+4 1.071519-2 2.592489+4 1.083927-2 2.513381+4 1.096478-2 2.436704+4 1.122018-2 2.289100+4 1.135011-2 2.218766+4 1.150000-2 2.141327+4 1.161449-2 2.084526+4 1.174898-2 2.020123+4 1.188502-2 1.957767+4 1.202264-2 1.897387+4 1.216186-2 1.838918+4 1.230269-2 1.782291+4 1.244515-2 1.727343+4 1.258925-2 1.674093+4 1.273503-2 1.622510+4 1.288250-2 1.572560+4 1.303167-2 1.524188+4 1.338300-2 1.417410+4 1.348963-2 1.386846+4 1.364583-2 1.343705+4 1.380384-2 1.301942+4 1.396368-2 1.261504+4 1.400000-2 1.252559+4 1.412538-2 1.222333+4 1.428894-2 1.184366+4 1.445440-2 1.147448+4 1.462177-2 1.111709+4 1.479108-2 1.077067+4 1.496236-2 1.043529+4 1.548817-2 9.492217+3 1.566751-2 9.195834+3 1.584893-2 8.908878+3 1.603245-2 8.629583+3 1.621810-2 8.359109+3 1.659587-2 7.843499+3 1.678804-2 7.598038+3 1.698244-2 7.360439+3 1.717908-2 7.130462+3 1.730000-2 6.993504+3 1.737801-2 6.906988+3 1.778279-2 6.478960+3 1.798871-2 6.275238+3 1.840772-2 5.887225+3 1.905461-2 5.347840+3 1.949845-2 5.016681+3 1.972423-2 4.859048+3 1.995262-2 4.706507+3 2.000000-2 4.675624+3 2.018366-2 4.557673+3 2.041738-2 4.413259+3 2.065380-2 4.273533+3 2.113489-2 4.007479+3 2.137962-2 3.880251+3 2.238721-2 3.411175+3 2.264644-2 3.303272+3 2.290868-2 3.198858+3 2.300000-2 3.163568+3 2.344229-2 2.999691+3 2.371374-2 2.904046+3 2.444600-2 2.666039+3 2.483133-2 2.551423+3 2.630268-2 2.169746+3 2.660725-2 2.100720+3 2.691535-2 2.033940+3 2.722701-2 1.969335+3 2.754229-2 1.906694+3 2.786121-2 1.845543+3 2.851018-2 1.729157+3 2.884032-2 1.673765+3 2.951209-2 1.568322+3 3.090295-2 1.376753+3 3.126079-2 1.332718+3 3.162278-2 1.290124+3 3.180500-2 1.269389+3 3.180500-2 7.732812+3 3.203000-2 7.598915+3 3.235937-2 7.408475+3 3.273407-2 7.199792+3 3.280000-2 7.163932+3 3.311311-2 6.979905+3 3.350000-2 6.761316+3 3.388442-2 6.569396+3 3.467369-2 6.198611+3 3.507519-2 6.011618+3 3.630781-2 5.483718+3 3.672823-2 5.318313+3 3.715352-2 5.157920+3 3.758374-2 5.002187+3 3.801894-2 4.853455+3 3.845918-2 4.709134+3 3.890451-2 4.569122+3 3.981072-2 4.301490+3 4.027170-2 4.173608+3 4.150000-2 3.857572+3 4.168694-2 3.811341+3 4.216965-2 3.695441+3 4.265795-2 3.583036+3 4.315191-2 3.474063+3 4.365158-2 3.368290+3 4.415704-2 3.265748+3 4.466836-2 3.166339+3 4.570882-2 2.976498+3 4.623810-2 2.885903+3 4.731513-2 2.712918+3 4.897788-2 2.468506+3 5.069907-2 2.246173+3 5.188000-2 2.109028+3 5.248075-2 2.043637+3 5.370318-2 1.918830+3 5.432503-2 1.859321+3 5.623413-2 1.691673+3 6.025596-2 1.400470+3 6.165950-2 1.313427+3 6.237348-2 1.271959+3 6.456542-2 1.155239+3 6.548850-2 1.110428+3 6.606934-2 1.083437+3 6.918310-2 9.529740+2 7.000000-2 9.223155+2 7.161434-2 8.655612+2 7.413102-2 7.860953+2 7.498942-2 7.612658+2 7.585776-2 7.372170+2 7.852356-2 6.686367+2 7.943282-2 6.472265+2 8.222426-2 5.870299+2 8.413951-2 5.500483+2 8.609938-2 5.154008+2 8.709636-2 4.988878+2 9.120108-2 4.379681+2 9.440609-2 3.972106+2 9.549926-2 3.844867+2 9.660509-2 3.720449+2 9.885531-2 3.483579+2 1.011580-1 3.261808+2 1.023293-1 3.156290+2 1.059254-1 2.859793+2 1.071519-1 2.767208+2 1.135011-1 2.347381+2 1.148154-1 2.271409+2 1.161449-1 2.197890+2 1.174898-1 2.126753+2 1.188502-1 2.057925+2 1.202264-1 1.991332+2 1.288250-1 1.634696+2 1.364583-1 1.386032+2 1.380384-1 1.341043+2 1.396368-1 1.297516+2 1.412538-1 1.255401+2 1.428894-1 1.214658+2 1.462177-1 1.137064+2 1.479108-1 1.100148+2 1.584893-1 9.025541+1 1.603245-1 8.732636+1 1.621810-1 8.449237+1 1.640590-1 8.175052+1 1.659587-1 7.909780+1 1.678804-1 7.653135+1 1.717908-1 7.164579+1 1.757924-1 6.707294+1 1.798871-1 6.279309+1 1.862087-1 5.688022+1 1.927525-1 5.152447+1 1.949845-1 4.985385+1 1.972423-1 4.823755+1 2.018366-1 4.516059+1 2.041738-1 4.371040+1 2.089296-1 4.094886+1 2.113489-1 3.963425+1 2.213095-1 3.478475+1 2.238721-1 3.366926+1 2.264644-1 3.258961+1 2.290868-1 3.154460+1 2.317395-1 3.053315+1 2.371374-1 2.860695+1 2.398833-1 2.769007+1 2.426610-1 2.680262+1 2.454709-1 2.594363+1 2.483133-1 2.511238+1 2.540973-1 2.354925+1 2.570396-1 2.280462+1 2.600160-1 2.208355+1 2.630268-1 2.138532+1 2.660725-1 2.070933+1 2.691535-1 2.005471+1 2.722701-1 1.942163+1 2.818383-1 1.764010+1 2.851018-1 1.708336+1 2.884032-1 1.654421+1 2.917427-1 1.602214+1 2.951209-1 1.551655+1 3.000000-1 1.483613+1 3.090295-1 1.368051+1 3.162278-1 1.284581+1 3.198895-1 1.244777+1 3.235937-1 1.206268+1 3.273407-1 1.168951+1 3.311311-1 1.132797+1 3.349654-1 1.097762+1 3.388442-1 1.063811+1 3.427678-1 1.030913+1 3.467369-1 9.996053+0 3.507519-1 9.692544+0 3.548134-1 9.398254+0 3.589219-1 9.112920+0 3.630781-1 8.836244+0 3.672823-1 8.568041+0 3.715352-1 8.308446+0 3.801894-1 7.812632+0 3.890451-1 7.346423+0 3.935501-1 7.128088+0 3.981072-1 6.916347+0 4.027170-1 6.710900+0 4.168694-1 6.130591+0 4.216965-1 5.948905+0 4.265795-1 5.772605+0 4.315191-1 5.601531+0 4.365158-1 5.435540+0 4.415705-1 5.277946+0 4.466836-1 5.124975+0 4.570882-1 4.832330+0 4.623810-1 4.692338+0 4.677351-1 4.556402+0 4.731513-1 4.424701+0 4.786301-1 4.296819+0 4.841724-1 4.172633+0 4.897788-1 4.052090+0 4.954502-1 3.937594+0 5.011872-1 3.826346+0 5.188000-1 3.511257+0 5.248075-1 3.412113+0 5.308844-1 3.316005+0 5.370318-1 3.222626+0 5.432503-1 3.131897+0 5.559043-1 2.961904+0 5.623413-1 2.880411+0 5.688529-1 2.801199+0 5.754399-1 2.724171+0 5.821032-1 2.649264+0 5.888437-1 2.576436+0 5.956621-1 2.505799+0 6.025596-1 2.437113+0 6.095369-1 2.372028+0 6.165950-1 2.308682+0 6.237348-1 2.247035+0 6.309573-1 2.187070+0 6.382635-1 2.128707+0 6.456542-1 2.071918+0 6.531306-1 2.016644+0 6.606935-1 1.962986+0 6.683439-1 1.910769+0 6.839117-1 1.813016+0 6.918310-1 1.766041+0 6.998420-1 1.720307+0 7.079458-1 1.675772+0 7.161434-1 1.632391+0 7.244360-1 1.590132+0 7.413102-1 1.509106+0 7.498942-1 1.471186+0 7.585776-1 1.434221+0 7.673615-1 1.398190+0 7.762471-1 1.363094+0 7.852356-1 1.328879+0 7.943282-1 1.295524+0 8.035261-1 1.263006+0 8.222427-1 1.200579+0 8.413951-1 1.142767+0 8.511380-1 1.114919+0 8.609938-1 1.087755+0 8.709636-1 1.061270+0 8.912509-1 1.010222+0 9.015711-1 9.857070-1 9.120108-1 9.624879-1 9.225714-1 9.398250-1 9.332543-1 9.176959-1 9.440609-1 8.960997-1 9.549926-1 8.750262-1 9.772372-1 8.343545-1 9.885531-1 8.148057-1 1.000000+0 7.962612-1 1.023293+0 7.604290-1 1.047129+0 7.262121-1 1.059254+0 7.096924-1 1.071519+0 6.935591-1 1.083927+0 6.777924-1 1.096478+0 6.623850-1 1.135011+0 6.182311-1 1.148154+0 6.042262-1 1.161449+0 5.909971-1 1.174898+0 5.780662-1 1.188600+0 5.653399-1 1.202264+0 5.530685-1 1.216186+0 5.409809-1 1.230269+0 5.291577-1 1.258925+0 5.063475-1 1.273503+0 4.955780-1 1.288250+0 4.850375-1 1.303167+0 4.747229-1 1.333521+0 4.547473-1 1.348963+0 4.450834-1 1.396368+0 4.173077-1 1.412538+0 4.084422-1 1.428894+0 3.997904-1 1.445440+0 3.915541-1 1.462177+0 3.834878-1 1.479108+0 3.755889-1 1.500000+0 3.661853-1 1.513561+0 3.602801-1 1.531087+0 3.528649-1 1.548817+0 3.456028-1 1.566751+0 3.385143-1 1.621810+0 3.187449-1 1.640590+0 3.124176-1 1.659587+0 3.062161-1 1.678804+0 3.001379-1 1.737801+0 2.826283-1 1.757924+0 2.770389-1 1.778279+0 2.715614-1 1.840772+0 2.562166-1 1.862087+0 2.512989-1 1.883649+0 2.464756-1 1.905461+0 2.417449-1 1.972423+0 2.280991-1 2.000000+0 2.228486-1 2.044000+0 2.148633-1 2.065380+0 2.112600-1 2.089296+0 2.073437-1 2.113489+0 2.035011-1 2.137962+0 1.997304-1 2.162719+0 1.960297-1 2.213095+0 1.888379-1 2.238721+0 1.853537-1 2.290868+0 1.785784-1 2.317395+0 1.753916-1 2.344229+0 1.722618-1 2.371374+0 1.691887-1 2.398833+0 1.661710-1 2.426610+0 1.632072-1 2.454709+0 1.602983-1 2.511886+0 1.546351-1 2.540973+0 1.518886-1 2.600160+0 1.465423-1 2.630268+0 1.440242-1 2.660725+0 1.415493-1 2.691535+0 1.391177-1 2.722701+0 1.367283-1 2.754229+0 1.343800-1 2.786121+0 1.320736-1 2.884032+0 1.253892-1 2.917427+0 1.232441-1 2.985383+0 1.190643-1 3.019952+0 1.170840-1 3.054921+0 1.151367-1 3.126079+0 1.113396-1 3.162278+0 1.094886-1 3.198895+0 1.076685-1 3.235937+0 1.058797-1 3.349654+0 1.006899-1 3.388442+0 9.902250-2 3.467369+0 9.577081-2 3.507519+0 9.423263-2 3.548134+0 9.271916-2 3.630781+0 8.976557-2 3.672823+0 8.832451-2 3.715352+0 8.690667-2 3.758374+0 8.551246-2 3.890451+0 8.146264-2 3.935501+0 8.015987-2 4.027170+0 7.761709-2 4.073803+0 7.641156-2 4.120975+0 7.522478-2 4.265795+0 7.177480-2 4.315191+0 7.066051-2 4.365158+0 6.956359-2 4.415704+0 6.848439-2 4.570882+0 6.534616-2 4.623810+0 6.433558-2 4.731513+0 6.236145-2 4.786301+0 6.142490-2 4.841724+0 6.050240-2 5.011872+0 5.781797-2 5.069907+0 5.695002-2 5.188000+0 5.525312-2 5.248075+0 5.442421-2 5.432503+0 5.201140-2 5.495409+0 5.123352-2 5.623413+0 4.971283-2 5.688529+0 4.899019-2 5.754399+0 4.827806-2 6.000000+0 4.577941-2 6.025596+0 4.553232-2 6.165950+0 4.421884-2 6.309573+0 4.294397-2 6.531306+0 4.110024-2 6.606934+0 4.050525-2 6.760830+0 3.934118-2 6.839116+0 3.878773-2 6.918310+0 3.824206-2 7.244360+0 3.613565-2 7.413102+0 3.512657-2 7.585776+0 3.414619-2 7.943282+0 3.226676-2 8.035261+0 3.181448-2 8.317638+0 3.049554-2 8.413951+0 3.007885-2 8.511380+0 2.966784-2 9.000000+0 2.775378-2 9.015711+0 2.769602-2 9.120108+0 2.731774-2 9.332543+0 2.657704-2 9.660509+0 2.550348-2 9.885531+0 2.481395-2 1.011579+1 2.414320-2 1.023293+1 2.382288-2 1.035142+1 2.350683-2 1.109175+1 2.169703-2 1.135011+1 2.112537-2 1.174898+1 2.029636-2 1.244515+1 1.898636-2 1.288250+1 1.824331-2 1.303167+1 1.800220-2 1.318257+1 1.777018-2 1.364583+1 1.709208-2 1.380384+1 1.687188-2 1.428894+1 1.622838-2 1.621810+1 1.407187-2 1.659587+1 1.371262-2 1.678804+1 1.353648-2 1.698244+1 1.336635-2 1.717908+1 1.319842-2 1.819701+1 1.239031-2 2.113489+1 1.051331-2 2.200000+1 1.006119-2 2.238721+1 9.870698-3 2.317395+1 9.510033-3 2.344229+1 9.392787-3 2.371374+1 9.276985-3 2.398833+1 9.162628-3 2.400000+1 9.157830-3 2.600160+1 8.400968-3 2.800000+1 7.757096-3 2.884032+1 7.514429-3 3.000000+1 7.202705-3 3.235937+1 6.649239-3 3.311311+1 6.489522-3 3.388442+1 6.333639-3 3.427678+1 6.257117-3 3.467369+1 6.181520-3 3.715352+1 5.746895-3 4.027170+1 5.278301-3 4.168694+1 5.089673-3 4.365158+1 4.848640-3 4.841724+1 4.354348-3 5.011872+1 4.201069-3 5.128614+1 4.101892-3 5.188000+1 4.053190-3 5.308844+1 3.957514-3 5.754399+1 3.640182-3 6.309573+1 3.308553-3 6.531306+1 3.192304-3 6.839116+1 3.043650-3 7.585776+1 2.737670-3 7.673615+1 2.705631-3 8.000000+1 2.592825-3 8.317638+1 2.491633-3 8.413951+1 2.462479-3 8.511380+1 2.433665-3 8.609938+1 2.405188-3 8.912509+1 2.321742-3 1.035142+2 1.992400-3 1.202264+2 1.709776-3 1.244515+2 1.650528-3 1.318257+2 1.556317-3 1.445440+2 1.417862-3 1.462177+2 1.401445-3 1.548817+2 1.322172-3 1.621810+2 1.261996-3 1.640590+2 1.247384-3 1.659587+2 1.232943-3 1.698244+2 1.204560-3 1.717908+2 1.190615-3 1.778279+2 1.149740-3 2.065380+2 9.882491-4 2.398833+2 8.494413-4 2.483133+2 8.203012-4 2.630268+2 7.739405-4 2.884032+2 7.055457-4 2.917427+2 6.974330-4 3.090295+2 6.582484-4 3.235937+2 6.284916-4 3.273407+2 6.212652-4 3.311311+2 6.141221-4 3.388442+2 6.000809-4 3.427678+2 5.931813-4 3.548134+2 5.729547-4 4.786301+2 4.241784-4 4.954502+2 4.097213-4 8.222427+2 2.463852-4 1.047129+3 1.932846-4 1.148154+3 1.762660-4 1.161449+3 1.742469-4 1.230269+3 1.644932-4 1.288250+3 1.570848-4 1.303167+3 1.552854-4 1.318257+3 1.535067-4 1.348963+3 1.500102-4 1.364583+3 1.482919-4 1.412538+3 1.432542-4 3.801894+3 5.319191-5 3.935501+3 5.138528-5 2.600160+4 7.770959-6 6.606934+4 3.056996-6 1.000000+5 2.020049-6 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 8.310000-6 8.310000-6 9.230000-6 8.310000-6 9.230000-6 8.640675-6 1.288400-5 8.678720-6 1.845000-5 8.687978-6 1.845000-5 8.909917-6 2.070000-5 8.815590-6 2.322000-5 8.760411-6 2.560000-5 8.769155-6 2.770000-5 8.829751-6 2.980000-5 8.940151-6 3.198895-5 9.105150-6 3.427678-5 9.325257-6 3.715352-5 9.655693-6 4.168694-5 1.024706-5 4.850000-5 1.114979-5 4.918000-5 1.123188-5 4.918000-5 2.355420-5 5.020000-5 2.396441-5 5.071000-5 2.421142-5 5.071000-5 2.526652-5 5.450000-5 2.663023-5 5.595000-5 2.701040-5 5.800000-5 2.734339-5 6.070000-5 2.754475-5 6.630000-5 2.764055-5 8.413951-5 2.753578-5 9.660509-5 2.728525-5 1.059254-4 2.691284-5 1.120000-4 2.654061-5 1.202264-4 2.583870-5 1.209200-4 2.577070-5 1.209200-4 3.440242-5 1.250000-4 3.561129-5 1.280000-4 3.634766-5 1.309700-4 3.693891-5 1.309700-4 3.956405-5 1.335900-4 4.006727-5 1.365000-4 4.040778-5 1.400000-4 4.059310-5 1.445440-4 4.056601-5 1.500000-4 4.024833-5 1.720000-4 3.821247-5 1.743300-4 3.802996-5 1.743300-4 4.268100-5 2.162719-4 4.048409-5 2.317395-4 3.990424-5 2.511886-4 3.941781-5 2.851018-4 3.893302-5 3.280000-4 3.864735-5 4.027170-4 3.860898-5 4.954502-4 3.885518-5 5.827400-4 3.920348-5 5.827400-4 4.051853-5 5.845000-4 4.164402-5 5.857000-4 4.283841-5 5.868000-4 4.432341-5 5.877000-4 4.584594-5 5.888437-4 4.816725-5 5.900000-4 5.089277-5 5.923000-4 5.668061-5 5.929000-4 5.811002-5 5.931000-4 5.797049-5 5.937400-4 5.887860-5 5.937400-4 6.206382-5 5.950000-4 6.343489-5 5.976500-4 6.541463-5 6.009000-4 6.669512-5 6.011000-4 6.689561-5 6.056200-4 6.749863-5 6.115000-4 6.808870-5 6.237348-4 6.851969-5 6.410000-4 6.870459-5 7.120000-4 6.820424-5 8.148500-4 6.804154-5 8.148500-4 7.424058-5 8.670900-4 7.485004-5 8.670900-4 7.670975-5 8.683000-4 7.700052-5 8.747000-4 7.732133-5 9.050000-4 7.789317-5 9.910800-4 7.877405-5 9.910800-4 8.209063-5 1.174898-3 8.438949-5 1.531087-3 8.805925-5 1.927525-3 9.143202-5 2.398833-3 9.470564-5 3.019952-3 9.818219-5 3.758374-3 1.014649-4 4.339700-3 1.035830-4 4.339700-3 1.445515-4 4.618200-3 1.450329-4 4.618200-3 1.524624-4 4.914200-3 1.527443-4 4.914200-3 1.598719-4 6.918310-3 1.628706-4 1.011579-2 1.662767-4 1.496236-2 1.698280-4 2.137962-2 1.730785-4 3.090295-2 1.763209-4 3.180500-2 1.765690-4 3.180500-2 1.794033-4 7.498942-2 1.803649-4 2.600160-1 1.810167-4 5.011872+0 1.812311-4 1.000000+5 1.812301-4 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.310000-6 0.0 5.071000-5 0.0 5.071000-5 1.99452-10 5.220000-5 1.93075-10 5.270000-5 1.91494-10 5.290000-5 1.90572-10 5.385000-5 1.88124-10 5.465000-5 1.87026-10 5.540000-5 1.86690-10 5.595000-5 1.86859-10 5.710000-5 1.88587-10 5.821032-5 1.91475-10 5.900000-5 1.94436-10 6.025596-5 2.01205-10 6.070000-5 2.04251-10 6.165950-5 2.12076-10 6.200000-5 2.15054-10 6.280000-5 2.23066-10 6.500000-5 2.46848-10 6.612800-5 2.57666-10 6.690000-5 2.63637-10 6.770000-5 2.68800-10 6.839116-5 2.72135-10 6.920000-5 2.75355-10 7.030000-5 2.78497-10 7.190000-5 2.81066-10 7.328245-5 2.82156-10 7.673615-5 2.83466-10 8.570000-5 2.84595-10 9.120108-5 2.83947-10 9.900000-5 2.81057-10 1.059254-4 2.76382-10 1.083927-4 2.74057-10 1.120000-4 2.69712-10 1.174898-4 2.61232-10 1.209200-4 2.53990-10 1.209200-4 3.92511-10 1.233400-4 4.03217-10 1.265000-4 4.15075-10 1.303167-4 4.25744-10 1.309700-4 4.27128-10 1.309700-4 5.61719-10 1.322000-4 5.68421-10 1.345000-4 5.76489-10 1.365000-4 5.80264-10 1.400000-4 5.82024-10 1.430000-4 5.80018-10 1.470000-4 5.73367-10 1.520000-4 5.60880-10 1.621810-4 5.31113-10 1.698244-4 5.11699-10 1.743300-4 5.01964-10 1.743300-4 5.93415-10 1.972423-4 5.64211-10 2.120000-4 5.47434-10 2.238721-4 5.36961-10 2.350000-4 5.29660-10 2.511886-4 5.22365-10 2.730000-4 5.16249-10 3.054921-4 5.11250-10 3.280000-4 5.09869-10 3.890451-4 5.11191-10 4.518559-4 5.15887-10 5.827400-4 5.29824-10 5.827400-4 5.37658-10 5.845000-4 5.44535-10 5.857000-4 5.51756-10 5.868000-4 5.60688-10 5.877000-4 5.69815-10 5.893000-4 5.89916-10 5.929000-4 6.42939-10 5.931000-4 6.42121-10 5.937400-4 6.47531-10 5.937400-4 4.393883-8 5.950000-4 4.424905-8 5.960000-4 4.526986-8 5.976500-4 4.551959-8 5.978000-4 4.566889-8 5.996000-4 4.821494-8 6.009000-4 4.884669-8 6.011000-4 4.798090-8 6.035100-4 5.228540-8 6.100000-4 5.858608-8 6.111000-4 5.987341-8 6.190000-4 6.236297-8 6.220000-4 6.300592-8 6.280000-4 6.486953-8 6.335000-4 6.551495-8 6.370000-4 6.639567-8 6.410000-4 6.683205-8 6.460000-4 6.794606-8 6.550000-4 6.895151-8 6.580000-4 6.903763-8 6.683439-4 6.865872-8 6.700000-4 6.844231-8 7.000000-4 6.755454-8 7.161434-4 6.725523-8 7.585776-4 6.701931-8 8.148500-4 6.681037-8 8.148500-4 1.058055-7 8.609938-4 1.094610-7 8.670900-4 1.098585-7 8.670900-4 1.267754-7 8.677000-4 1.286991-7 8.678000-4 1.285251-7 8.683000-4 1.293927-7 8.697000-4 1.305598-7 8.708000-4 1.310982-7 8.747000-4 1.321649-7 8.865000-4 1.344722-7 9.050000-4 1.367558-7 9.549926-4 1.408557-7 9.910800-4 1.435208-7 9.910800-4 1.608017-7 1.096478-3 1.703983-7 1.230269-3 1.809649-7 1.440000-3 1.962500-7 1.659587-3 2.101792-7 1.883649-3 2.229023-7 2.065380-3 2.320285-7 2.317395-3 2.435469-7 2.630268-3 2.560799-7 3.019952-3 2.695981-7 3.467369-3 2.827906-7 3.935501-3 2.945641-7 4.339700-3 3.033884-7 4.339700-3 2.099823-4 4.480000-3 2.110559-4 4.618200-3 2.109555-4 4.618200-3 2.556512-4 4.914200-3 2.561206-4 4.914200-3 2.674742-4 6.237348-3 2.692579-4 1.000000-2 2.713676-4 2.041738-2 2.729754-4 3.180500-2 2.736047-4 3.180500-2 2.083653-2 3.801894-2 2.100018-2 4.897788-2 2.118272-2 7.000000-2 2.134387-2 1.148154-1 2.146870-2 2.454709-1 2.153677-2 1.303167+0 2.161219-2 1.000000+5 2.161192-2 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.310000-6 0.0 9.230000-6 9.200000-7 9.230000-6 5.893247-7 1.035142-5 1.692244-6 1.288400-5 4.205280-6 1.845000-5 9.762022-6 1.845000-5 9.540083-6 2.170000-5 1.291336-5 2.477000-5 1.601089-5 2.818383-5 1.933285-5 3.198895-5 2.288380-5 3.715352-5 2.749783-5 4.918000-5 3.794812-5 4.918000-5 2.562580-5 5.020000-5 2.623559-5 5.071000-5 2.649858-5 5.071000-5 2.544328-5 5.450000-5 2.786958-5 5.595000-5 2.893941-5 5.800000-5 3.065642-5 6.116700-5 3.360332-5 6.920000-5 4.155889-5 9.120108-5 6.378027-5 1.059254-4 7.901228-5 1.202264-4 9.438745-5 1.209200-4 9.514905-5 1.209200-4 8.651718-5 1.270000-4 9.088024-5 1.309700-4 9.403066-5 1.309700-4 9.140539-5 1.350000-4 9.473926-5 1.412538-4 1.006382-4 1.500000-4 1.097511-4 1.743300-4 1.362995-4 1.743300-4 1.316484-4 2.264644-4 1.863938-4 2.951209-4 2.562761-4 5.500000-4 5.109322-4 5.827400-4 5.435360-4 5.827400-4 5.422209-4 5.868000-4 5.424760-4 5.905000-4 5.383551-4 5.929000-4 5.347894-4 5.937400-4 5.348608-4 5.937400-4 5.316323-4 5.978000-4 5.322634-4 6.035100-4 5.361962-4 6.410000-4 5.722286-4 8.148500-4 7.467417-4 8.148500-4 7.405036-4 8.670900-4 7.921301-4 8.670900-4 7.902535-4 9.910800-4 9.121625-4 9.910800-4 9.088286-4 2.691535-3 2.594836-3 4.339700-3 4.235814-3 4.339700-3 3.985166-3 4.618200-3 4.262212-3 4.618200-3 4.210086-3 4.914200-3 4.505335-3 4.914200-3 4.486854-3 3.180500-2 3.135483-2 3.180500-2 1.078907-2 3.311311-2 1.204897-2 4.216965-2 2.090154-2 6.237348-2 4.089188-2 1.798871-1 1.581841-1 1.000000+5 9.999997+4 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 3.180500-2 6.463423+3 3.280000-2 6.000780+3 3.350000-2 5.665980+3 3.467369-2 5.205372+3 3.758374-2 4.212214+3 4.150000-2 3.262220+3 4.731513-2 2.303934+3 6.025596-2 1.196296+3 7.585776-2 6.323342+2 9.549926-2 3.307357+2 1.288250-1 1.409687+2 2.018366-1 3.901455+1 2.483133-1 2.170435+1 2.951209-1 1.341421+1 3.427678-1 8.915028+0 3.890451-1 6.354535+0 4.365158-1 4.702736+0 4.897788-1 3.506702+0 5.432503-1 2.711038+0 6.025596-1 2.110223+0 6.683439-1 1.654978+0 7.413102-1 1.307477+0 8.222427-1 1.040495+0 9.015711-1 8.545731-1 9.885531-1 7.066065-1 1.148154+0 5.240773-1 1.258925+0 4.391749-1 1.428894+0 3.467297-1 1.566751+0 2.935754-1 1.778279+0 2.355119-1 2.044000+0 1.863352-1 2.290868+0 1.548654-1 2.600160+0 1.270855-1 2.985383+0 1.032611-1 3.467369+0 8.305911-2 4.027170+0 6.731513-2 4.731513+0 5.408439-2 5.623413+0 4.311485-2 6.760830+0 3.411970-2 8.317638+0 2.644802-2 1.011579+1 2.093869-2 1.303167+1 1.561282-2 1.678804+1 1.174031-2 2.238721+1 8.560901-3 3.000000+1 6.246700-3 4.365158+1 4.205092-3 6.839116+1 2.639709-3 1.318257+2 1.349782-3 2.630268+2 6.712623-4 1.047129+3 1.676293-4 6.606934+4 2.651410-6 1.000000+5 1.752100-6 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 3.180500-2 1.799600-4 1.000000+5 1.799600-4 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.180500-2 2.487500-2 1.000000+5 2.487500-2 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.180500-2 6.750040-3 1.000000+5 9.999997+4 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 4.914200-3 2.616621+4 5.080000-3 2.463040+4 5.350000-3 2.272220+4 6.237348-3 1.751588+4 6.800000-3 1.497582+4 7.161434-3 1.359062+4 7.762471-3 1.176216+4 8.317638-3 1.031281+4 1.011579-2 7.048491+3 1.150000-2 5.430520+3 1.303167-2 4.193800+3 1.548817-2 2.897762+3 1.737801-2 2.249691+3 2.000000-2 1.641436+3 2.344229-2 1.138827+3 2.754229-2 7.785841+2 3.203000-2 5.408932+2 3.715352-2 3.753737+2 4.315191-2 2.578586+2 5.069907-2 1.708263+2 6.025596-2 1.090013+2 7.161434-2 6.902020+1 8.609938-2 4.207566+1 1.059254-1 2.392033+1 1.428894-1 1.047243+1 2.213095-1 3.105072+0 2.691535-1 1.813786+0 3.198895-1 1.136610+0 3.672823-1 7.871147-1 4.168694-1 5.658187-1 4.677351-1 4.219333-1 5.248075-1 3.168960-1 5.888437-1 2.398157-1 6.531306-1 1.879695-1 7.244360-1 1.483567-1 8.035261-1 1.179179-1 8.912509-1 9.436216-2 9.772372-1 7.794684-2 1.135011+0 5.776142-2 1.230269+0 4.942771-2 1.412538+0 3.815930-2 1.548817+0 3.228253-2 1.737801+0 2.638975-2 1.972423+0 2.129722-2 2.213095+0 1.763486-2 2.511886+0 1.443984-2 2.884032+0 1.170605-2 3.349654+0 9.399415-3 3.890451+0 7.604955-3 4.570882+0 6.100404-3 5.432503+0 4.855605-3 6.531306+0 3.837084-3 7.943282+0 3.012278-3 9.660509+0 2.380821-3 1.244515+1 1.772487-3 1.621810+1 1.313910-3 2.113489+1 9.815836-4 2.800000+1 7.242000-4 4.027170+1 4.927656-4 6.309573+1 3.088781-4 1.202264+2 1.596373-4 2.398833+2 7.931561-5 4.786301+2 3.958553-5 3.801894+3 4.965021-6 1.000000+5 1.886800-7 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 4.914200-3 2.067900-4 1.000000+5 2.067900-4 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 4.914200-3 3.422100-4 1.000000+5 3.422100-4 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 4.914200-3 4.365200-3 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 4.618200-3 5.435250+4 4.770000-3 5.077495+4 5.370318-3 3.746200+4 5.754399-3 3.125600+4 6.531306-3 2.214200+4 7.673615-3 1.418000+4 9.015711-3 9.013400+3 1.000000-2 6.676600+3 1.161449-2 4.311100+3 1.428894-2 2.319100+3 1.717908-2 1.321200+3 1.995262-2 8.303000+2 2.300000-2 5.313100+2 2.722701-2 3.106900+2 3.235937-2 1.781900+2 3.981072-2 9.074900+1 5.069907-2 4.094400+1 6.918310-2 1.458100+1 1.135011-1 2.802200+0 1.428894-1 1.309400+0 1.717908-1 7.171900-1 2.018366-1 4.265800-1 2.371374-1 2.563007-1 2.722701-1 1.666439-1 3.090295-1 1.131285-1 3.467369-1 8.009032-2 3.890451-1 5.710359-2 4.365158-1 4.102918-2 4.841724-1 3.068260-2 5.370318-1 2.310425-2 5.956621-1 1.752634-2 6.606935-1 1.339983-2 7.244360-1 1.063925-2 8.035261-1 8.268482-3 9.332543-1 5.806235-3 9.885531-1 5.097549-3 1.059254+0 4.397064-3 1.135011+0 3.818460-3 1.202264+0 3.414042-3 1.333521+0 2.818466-3 1.531087+0 2.202556-3 1.757924+0 1.730081-3 2.000000+0 1.390522-3 2.238721+0 1.156536-3 2.540973+0 9.476383-4 2.917427+0 7.687960-4 3.388442+0 6.176816-4 3.935501+0 5.000446-4 4.623810+0 4.013339-4 5.495409+0 3.196075-4 6.606934+0 2.526832-4 8.035261+0 1.984543-4 9.885531+0 1.547964-4 1.288250+1 1.138248-4 1.659587+1 8.556233-5 2.200000+1 6.278300-5 2.884032+1 4.687893-5 4.168694+1 3.175204-5 6.531306+1 1.991538-5 1.244515+2 1.029776-5 2.483133+2 5.118102-6 4.954502+2 2.554649-6 3.935501+3 3.204602-7 1.000000+5 1.260700-8 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 4.618200-3 1.726100-4 1.000000+5 1.726100-4 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 4.618200-3 3.768600-4 1.000000+5 3.768600-4 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 4.618200-3 4.068730-3 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 4.339700-3 1.157989+5 4.410000-3 1.121804+5 4.480000-3 1.083472+5 4.520000-3 1.056376+5 4.650000-3 9.826240+4 5.248075-3 7.127543+4 5.688529-3 5.708789+4 6.918310-3 3.287220+4 8.413951-3 1.874072+4 9.225714-3 1.427491+4 1.096478-2 8.516588+3 1.338300-2 4.625677+3 1.584893-2 2.727146+3 1.840772-2 1.695724+3 2.113489-2 1.087351+3 2.483133-2 6.430182+2 2.951209-2 3.634339+2 3.507519-2 2.039314+2 4.216965-2 1.093477+2 5.248075-2 5.175280+1 6.456542-2 2.531114+1 1.188502-1 3.037884+0 1.479108-1 1.427509+0 1.757924-1 7.919254-1 2.041738-1 4.786571-1 2.317395-1 3.145566-1 2.630268-1 2.082322-1 2.951209-1 1.441701-1 3.273407-1 1.042611-1 3.630781-1 7.593275-2 4.027170-1 5.572689-2 4.415705-1 4.262688-2 4.841724-1 3.282918-2 5.308844-1 2.546763-2 5.821032-1 1.990359-2 6.382635-1 1.567139-2 6.998420-1 1.243466-2 7.673615-1 9.941579-3 8.413951-1 8.008556-3 9.120108-1 6.657338-3 9.772372-1 5.721230-3 1.059254+0 4.837448-3 1.161449+0 4.021776-3 1.258925+0 3.446626-3 1.396368+0 2.846900-3 1.621810+0 2.180858-3 1.840772+0 1.752607-3 2.089296+0 1.418040-3 2.344229+0 1.177995-3 2.660725+0 9.679188-4 3.054921+0 7.872832-4 3.548134+0 6.340114-4 4.120975+0 5.143866-4 4.841724+0 4.137177-4 5.754399+0 3.301373-4 6.918310+0 2.615103-4 8.511380+0 2.028822-4 1.035142+1 1.607615-4 1.318257+1 1.215531-4 1.698244+1 9.142615-5 2.317395+1 6.502981-5 3.235937+1 4.545980-5 4.841724+1 2.976932-5 7.673615+1 1.849937-5 1.462177+2 9.583708-6 2.917427+2 4.770572-6 1.161449+3 1.191746-6 1.000000+5 1.382000-8 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 4.339700-3 1.642500-4 1.000000+5 1.642500-4 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 4.339700-3 3.108000-4 1.000000+5 3.108000-4 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 4.339700-3 3.864650-3 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 9.910800-4 7.709842+4 1.070000-3 7.289440+4 1.090000-3 7.158300+4 1.170000-3 6.547340+4 1.428894-3 4.997451+4 1.717908-3 3.820965+4 1.883649-3 3.310445+4 2.238721-3 2.511641+4 2.540973-3 2.031081+4 2.917427-3 1.602716+4 3.507519-3 1.155331+4 4.073803-3 8.783778+3 4.677351-3 6.781435+3 5.500000-3 4.971080+3 6.531306-3 3.546381+3 7.762471-3 2.505202+3 9.120108-3 1.797778+3 1.071519-2 1.280640+3 1.244515-2 9.284026+2 1.462177-2 6.518089+2 1.730000-2 4.469480+2 2.018366-2 3.139668+2 2.344229-2 2.213880+2 2.754229-2 1.508440+2 3.235937-2 1.020151+2 3.801894-2 6.846720+1 4.466836-2 4.561596+1 5.248075-2 3.017800+1 6.237348-2 1.924068+1 7.498942-2 1.181285+1 9.120108-2 6.978367+0 1.148154-1 3.720361+0 2.454709-1 4.569347-1 2.951209-1 2.767148-1 3.427678-1 1.852598-1 3.935501-1 1.288251-1 4.466836-1 9.302723-2 5.011872-1 6.968049-2 5.623413-1 5.258386-2 6.237348-1 4.109518-2 6.918310-1 3.233924-2 7.673615-1 2.562640-2 8.609938-1 1.994315-2 9.440609-1 1.643039-2 1.047129+0 1.331940-2 1.174898+0 1.060044-2 1.333521+0 8.338879-3 1.500000+0 6.713561-3 1.678804+0 5.502084-3 1.905461+0 4.431640-3 2.162719+0 3.593693-3 2.426610+0 2.991585-3 2.754229+0 2.462941-3 3.198895+0 1.973160-3 3.715352+0 1.592782-3 4.365158+0 1.274882-3 5.188000+0 1.012609-3 6.165950+0 8.103742-4 7.413102+0 6.437189-4 9.120108+0 5.006618-4 1.135011+1 3.871718-4 1.380384+1 3.093876-4 1.717908+1 2.420207-4 2.398833+1 1.679286-4 3.467369+1 1.132870-4 5.308844+1 7.252574-5 8.912509+1 4.254833-5 1.778279+2 2.107148-5 3.548134+2 1.050430-5 1.412538+3 2.626095-6 1.000000+5 3.705300-8 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 9.910800-4 1.603100-4 1.000000+5 1.603100-4 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 9.910800-4 5.683600-7 1.000000+5 5.683600-7 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 9.910800-4 8.302016-4 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 8.670900-4 8.708840+4 8.672700-4 8.964740+4 8.675000-4 9.375120+4 8.677000-4 9.707320+4 8.678000-4 9.608057+4 8.683000-4 1.004710+5 8.696000-4 1.051426+5 8.697000-4 1.059627+5 8.708000-4 1.082271+5 8.747000-4 1.116704+5 8.800000-4 1.145846+5 8.865000-4 1.170052+5 8.950000-4 1.184044+5 9.015711-4 1.187995+5 9.050000-4 1.188047+5 9.280000-4 1.170887+5 1.000000-3 1.099010+5 1.122018-3 9.710222+4 1.202264-3 8.953962+4 1.303167-3 8.078226+4 1.412538-3 7.230802+4 1.531087-3 6.426296+4 1.650000-3 5.714200+4 1.862087-3 4.685285+4 2.000000-3 4.142700+4 2.220000-3 3.428040+4 2.454709-3 2.839423+4 2.691535-3 2.371088+4 3.019952-3 1.879179+4 3.311311-3 1.550013+4 3.758374-3 1.179509+4 4.168694-3 9.361407+3 4.677351-3 7.192642+3 5.300000-3 5.355020+3 5.888437-3 4.150104+3 6.683439-3 3.031354+3 7.585776-3 2.196173+3 8.609938-3 1.578725+3 9.660509-3 1.161882+3 1.083927-2 8.499490+2 1.230269-2 5.985140+2 1.400000-2 4.154860+2 1.603245-2 2.812596+2 1.840772-2 1.876201+2 2.137962-2 1.200640+2 2.483133-2 7.624637+1 2.884032-2 4.808441+1 3.388442-2 2.905204+1 4.027170-2 1.680711+1 4.897788-2 8.967928+0 6.165950-2 4.247419+0 1.288250-1 3.792191-1 1.621810-1 1.793879-1 1.927525-1 1.030287-1 2.264644-1 6.194887-2 2.600160-1 4.027605-2 2.951209-1 2.733055-2 3.311311-1 1.934643-2 3.715352-1 1.378683-2 4.168694-1 9.892948-3 4.677351-1 7.151414-3 5.188000-1 5.377978-3 5.754399-1 4.073574-3 6.309573-1 3.203171-3 6.998420-1 2.462924-3 7.762471-1 1.908908-3 8.709636-1 1.446221-3 9.332543-1 1.232674-3 9.885531-1 1.085538-3 1.071519+0 9.169182-4 1.161449+0 7.798285-4 1.258925+0 6.685418-4 1.396368+0 5.528616-4 1.659587+0 4.072527-4 1.905461+0 3.213310-4 2.137962+0 2.654692-4 2.398833+0 2.208468-4 2.722701+0 1.817025-4 3.162278+0 1.454834-4 3.672823+0 1.173713-4 4.315191+0 9.389200-5 5.069907+0 7.567177-5 6.025596+0 6.050249-5 7.244360+0 4.801512-5 9.015711+0 3.680212-5 1.109175+1 2.883212-5 1.364583+1 2.272438-5 1.717908+1 1.754743-5 2.371374+1 1.232860-5 3.388442+1 8.416191-6 5.128614+1 5.450499-6 8.317638+1 3.311046-6 1.621810+2 1.677160-6 3.235937+2 8.355462-7 1.288250+3 2.088133-7 1.000000+5 2.686500-9 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 8.670900-4 1.250000-4 1.000000+5 1.250000-4 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 8.670900-4 5.660500-7 1.000000+5 5.660500-7 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 8.670900-4 7.415240-4 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 8.148500-4 2.909900+5 8.370000-4 2.901686+5 8.609938-4 2.869531+5 8.850000-4 2.818559+5 9.015711-4 2.775063+5 9.500000-4 2.625304+5 1.071519-3 2.258504+5 1.161449-3 2.026285+5 1.258925-3 1.805361+5 1.380384-3 1.568694+5 1.479108-3 1.404262+5 1.659587-3 1.154356+5 1.819701-3 9.816568+4 1.972423-3 8.455284+4 2.238721-3 6.628737+4 2.454709-3 5.514965+4 2.786121-3 4.242608+4 3.090295-3 3.397572+4 3.500000-3 2.580272+4 3.900000-3 2.015492+4 4.370000-3 1.544040+4 4.954502-3 1.140732+4 5.559043-3 8.576699+3 6.237348-3 6.406090+3 7.079458-3 4.610844+3 8.128305-3 3.192048+3 9.332543-3 2.189578+3 1.071519-2 1.488574+3 1.230269-2 1.003203+3 1.412538-2 6.703733+2 1.621810-2 4.443740+2 1.840772-2 3.028154+2 2.113489-2 1.979005+2 2.444600-2 1.254604+2 2.851018-2 7.690368+1 3.311311-2 4.741763+1 3.890451-2 2.796033+1 4.623810-2 1.575655+1 5.623413-2 8.160588+0 7.000000-2 3.877132+0 1.364583-1 3.931454-1 1.659587-1 2.022413-1 1.949845-1 1.178171-1 2.238721-1 7.461951-2 2.540973-1 4.942415-2 2.851018-1 3.420950-2 3.198895-1 2.384188-2 3.548134-1 1.734475-2 3.935501-1 1.271289-2 4.315191-1 9.715274-3 4.731513-1 7.475667-3 5.188000-1 5.793303-3 5.688529-1 4.522371-3 6.237348-1 3.556292-3 6.839117-1 2.817465-3 7.498942-1 2.248616-3 8.511380-1 1.665635-3 9.120108-1 1.422660-3 9.772372-1 1.223152-3 1.059254+0 1.034401-3 1.161449+0 8.600003-4 1.258925+0 7.369774-4 1.396368+0 6.087088-4 1.621810+0 4.662708-4 1.840772+0 3.747055-4 2.089296+0 3.032027-4 2.344229+0 2.518883-4 2.660725+0 2.069629-4 3.054921+0 1.683289-4 3.548134+0 1.355547-4 4.120975+0 1.099781-4 4.841724+0 8.845748-5 5.754399+0 7.058728-5 6.918310+0 5.591342-5 8.511380+0 4.337919-5 1.035142+1 3.437231-5 1.318257+1 2.598885-5 1.698244+1 1.954855-5 2.317395+1 1.390468-5 3.235937+1 9.719913-6 4.841724+1 6.365000-6 7.585776+1 4.002433-6 1.462177+2 2.049111-6 2.917427+2 1.020006-6 1.161449+3 2.548112-7 1.000000+5 2.954800-9 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 8.148500-4 1.223900-4 1.000000+5 1.223900-4 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 8.148500-4 4.086900-7 1.000000+5 4.086900-7 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 8.148500-4 6.920513-4 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 5.937400-4 4.170184+5 5.960000-4 5.289615+5 5.996000-4 7.149031+5 6.035100-4 8.967689+5 6.111000-4 1.162924+6 6.190000-4 1.264547+6 6.280000-4 1.343740+6 6.370000-4 1.370369+6 6.460000-4 1.356851+6 6.550000-4 1.322827+6 6.580000-4 1.307801+6 6.683439-4 1.240058+6 6.700000-4 1.225684+6 6.850000-4 1.143868+6 7.000000-4 1.075372+6 7.120000-4 1.030032+6 7.300000-4 9.744160+5 7.673615-4 8.761945+5 8.609938-4 6.807860+5 9.332543-4 5.663547+5 1.011579-3 4.676065+5 1.096478-3 3.831726+5 1.202264-3 3.027951+5 1.303167-3 2.450115+5 1.428894-3 1.904932+5 1.603245-3 1.381555+5 1.757924-3 1.060297+5 2.000000-3 7.263640+4 2.220000-3 5.307360+4 2.511886-3 3.634362+4 2.818383-3 2.532247+4 3.150000-3 1.774452+4 3.548134-3 1.203376+4 4.000000-3 8.077680+3 4.518559-3 5.346438+3 5.128614-3 3.455567+3 5.821032-3 2.216739+3 6.531306-3 1.471274+3 7.413102-3 9.307447+2 8.413951-3 5.845253+2 9.549926-3 3.644904+2 1.096478-2 2.160291+2 1.258925-2 1.270507+2 1.462177-2 7.090970+1 1.678804-2 4.111443+1 1.949845-2 2.262536+1 2.290868-2 1.180337+1 2.722701-2 5.834982+0 3.273407-2 2.732146+0 4.168694-2 1.000651+0 7.585776-2 8.221262-2 9.660509-2 3.016681-2 1.161449-1 1.415305-2 1.364583-1 7.351673-3 1.584893-1 4.031231-3 1.798871-1 2.440576-3 2.018366-1 1.556362-3 2.264644-1 9.997145-4 2.540973-1 6.468496-4 2.851018-1 4.217654-4 3.162278-1 2.890178-4 3.507519-1 1.994154-4 3.890451-1 1.385740-4 4.315191-1 9.699240-5 4.731513-1 7.109891-5 5.248075-1 5.051625-5 5.688529-1 3.897039-5 6.095369-1 3.138686-5 6.606935-1 2.461339-5 7.161434-1 1.943729-5 8.035261-1 1.399899-5 8.609938-1 1.144016-5 9.120108-1 9.736796-6 9.549926-1 8.613751-6 1.000000+0 7.674757-6 1.047129+0 6.892554-6 1.096478+0 6.232376-6 1.148154+0 5.670237-6 1.202264+0 5.187598-6 1.288250+0 4.575532-6 1.412538+0 3.901618-6 1.513561+0 3.471857-6 1.840772+0 2.470276-6 2.065380+0 2.035667-6 2.317395+0 1.690062-6 2.630268+0 1.387647-6 3.019952+0 1.127889-6 3.507519+0 9.077667-7 4.073803+0 7.361040-7 4.786301+0 5.917332-7 5.688529+0 4.719499-7 6.839116+0 3.736615-7 8.413951+0 2.897785-7 1.023293+1 2.295091-7 1.318257+1 1.712100-7 1.698244+1 1.287767-7 2.317395+1 9.159674-8 3.235937+1 6.403254-8 4.841724+1 4.193072-8 7.673615+1 2.605734-8 1.462177+2 1.349923-8 2.917427+2 6.719517-9 1.161449+3 1.678623-9 1.000000+5 1.94660-11 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 5.937400-4 7.319600-5 1.000000+5 7.319600-5 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 5.937400-4 1.952400-7 1.000000+5 1.952400-7 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 5.937400-4 5.203488-4 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 5.827400-4 2.552900+4 5.845000-4 4.865552+4 5.857000-4 7.502312+4 5.868000-4 1.107524+5 5.877000-4 1.512914+5 5.885000-4 1.984186+5 5.893000-4 2.585322+5 5.900000-4 3.240820+5 5.905000-4 3.794150+5 5.910000-4 4.426285+5 5.917000-4 5.456129+5 5.923000-4 6.482706+5 5.929000-4 7.655467+5 5.931000-4 7.525921+5 5.950000-4 1.030808+6 5.976500-4 1.413469+6 5.978000-4 1.430494+6 6.009000-4 1.734125+6 6.011000-4 1.819557+6 6.100000-4 2.048817+6 6.115000-4 2.072938+6 6.200000-4 2.152770+6 6.220000-4 2.161777+6 6.335000-4 2.161779+6 6.410000-4 2.099507+6 6.480000-4 1.997160+6 6.550000-4 1.917054+6 6.650000-4 1.823970+6 6.780000-4 1.719864+6 6.930000-4 1.618296+6 7.080000-4 1.536474+6 7.585776-4 1.323394+6 8.511380-4 1.025639+6 9.225714-4 8.516199+5 9.885531-4 7.219967+5 1.071519-3 5.914415+5 1.174898-3 4.670782+5 1.273503-3 3.777627+5 1.380384-3 3.030594+5 1.570000-3 2.113752+5 1.717908-3 1.630765+5 1.950000-3 1.123026+5 2.187762-3 7.934806+4 2.426610-3 5.768929+4 2.754229-3 3.873360+4 3.054921-3 2.777287+4 3.427678-3 1.906143+4 3.900000-3 1.238832+4 4.365158-3 8.445826+3 4.897788-3 5.674473+3 5.623413-3 3.490941+3 6.456542-3 2.128434+3 7.413102-3 1.286090+3 8.511380-3 7.702088+2 9.660509-3 4.777010+2 1.096478-2 2.941760+2 1.258925-2 1.720318+2 1.445440-2 9.983953+1 1.659587-2 5.754848+1 1.905461-2 3.295967+1 2.238721-2 1.706539+1 2.660725-2 8.361403+0 3.162278-2 4.065922+0 3.890451-2 1.697728+0 7.943282-2 8.175146-2 9.885531-2 3.246381-2 1.174898-1 1.577016-2 1.364583-1 8.497504-3 1.659587-1 3.819445-3 1.798871-1 2.765089-3 1.927525-1 2.108661-3 2.089296-1 1.547565-3 2.317395-1 1.036827-3 2.570396-1 6.997980-4 2.818383-1 4.968737-4 3.090295-1 3.553790-4 3.349654-1 2.667948-4 3.630781-1 2.015846-4 3.935501-1 1.533468-4 4.265795-1 1.174910-4 4.623810-1 9.068515-5 5.011872-1 7.053251-5 5.432503-1 5.534010-5 5.888437-1 4.371348-5 6.531306-1 3.245674-5 7.079458-1 2.590623-5 7.673615-1 2.082335-5 8.413951-1 1.636191-5 8.912509-1 1.415851-5 9.440609-1 1.233218-5 1.000000+0 1.082267-5 1.071519+0 9.338367-6 1.148154+0 8.115310-6 1.216186+0 7.264493-6 1.348963+0 6.006086-6 1.621810+0 4.333878-6 1.862087+0 3.414512-6 2.113489+0 2.764459-6 2.371374+0 2.298275-6 2.691535+0 1.889700-6 3.126079+0 1.512099-6 3.630781+0 1.219168-6 4.265795+0 9.747362-7 5.011872+0 7.851977-7 6.000000+0 6.217000-7 7.244360+0 4.907115-7 9.015711+0 3.761242-7 1.109175+1 2.946678-7 1.364583+1 2.322491-7 1.717908+1 1.793329-7 2.400000+1 1.243700-7 3.427678+1 8.497088-8 5.188000+1 5.504131-8 8.511380+1 3.304999-8 1.698244+2 1.635899-8 3.388442+2 8.152527-9 1.348963+3 2.037760-9 1.000000+5 2.74560-11 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 5.827400-4 7.343200-5 1.000000+5 7.343200-5 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 5.827400-4 7.33750-10 1.000000+5 7.33750-10 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 5.827400-4 5.093073-4 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.743300-4 1.424334+5 1.757924-4 1.451615+5 1.780000-4 1.482134+5 1.825000-4 1.529670+5 1.870000-4 1.565652+5 1.910000-4 1.587416+5 1.955000-4 1.599522+5 2.000000-4 1.599508+5 2.041738-4 1.590828+5 2.113489-4 1.563609+5 2.650000-4 1.342684+5 2.800000-4 1.285248+5 2.985383-4 1.212058+5 3.388442-4 1.067033+5 3.715352-4 9.670222+4 4.027170-4 8.807575+4 4.570882-4 7.530727+4 5.069907-4 6.585385+4 5.688529-4 5.624883+4 6.531306-4 4.620271+4 7.413102-4 3.826075+4 8.511380-4 3.093733+4 1.000000-3 2.393300+4 1.161449-3 1.872003+4 1.364583-3 1.427080+4 1.621810-3 1.059323+4 1.949845-3 7.654500+3 2.426610-3 5.159942+3 2.951209-3 3.599181+3 3.589219-3 2.492940+3 4.315191-3 1.751840+3 5.128614-3 1.249816+3 6.095369-3 8.855264+2 7.244360-3 6.230160+2 8.709636-3 4.248918+2 1.035142-2 2.946168+2 1.230269-2 2.028020+2 1.462177-2 1.385316+2 1.717908-2 9.634375+1 2.018366-2 6.652380+1 2.371374-2 4.560024+1 2.786121-2 3.103147+1 3.273407-2 2.096622+1 3.845918-2 1.406184+1 4.570882-2 9.095492+0 5.370318-2 6.013252+0 6.456542-2 3.717266+0 7.852356-2 2.211780+0 9.440609-2 1.344758+0 1.202264-1 6.939509-1 2.398833-1 1.030961-1 2.884032-1 6.239174-2 3.388442-1 4.048468-2 3.890451-1 2.814293-2 4.415705-1 2.031130-2 4.954502-1 1.520411-2 5.559043-1 1.146549-2 6.165950-1 8.953959-3 6.839117-1 7.040793-3 7.585776-1 5.574879-3 8.511380-1 4.335103-3 9.332543-1 3.568586-3 1.023293+0 2.958181-3 1.161449+0 2.299150-3 1.288250+0 1.886766-3 1.462177+0 1.491461-3 1.621810+0 1.239291-3 1.840772+0 9.961877-4 2.113489+0 7.912661-4 2.371374+0 6.578199-4 2.691535+0 5.408479-4 3.126079+0 4.327536-4 3.630781+0 3.489180-4 4.265795+0 2.789667-4 5.011872+0 2.247253-4 6.000000+0 1.779300-4 7.244360+0 1.404429-4 9.000000+0 1.078700-4 1.109175+1 8.433312-5 1.364583+1 6.646799-5 1.717908+1 5.132517-5 2.371374+1 3.605993-5 3.388442+1 2.461743-5 5.128614+1 1.594227-5 8.317638+1 9.684594-6 1.640590+2 4.848622-6 3.273407+2 2.415769-6 1.303167+3 6.037499-7 1.000000+5 7.857800-9 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.743300-4 7.638900-5 1.000000+5 7.638900-5 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.743300-4 1.256200-9 1.000000+5 1.256200-9 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.743300-4 9.793974-5 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.309700-4 1.734996+5 1.320000-4 1.752072+5 1.330000-4 1.755858+5 1.345000-4 1.744878+5 1.365000-4 1.714952+5 1.400000-4 1.651338+5 1.462177-4 1.537787+5 1.566751-4 1.358368+5 1.620000-4 1.288276+5 1.670000-4 1.237600+5 1.720000-4 1.199748+5 1.778279-4 1.168419+5 1.840772-4 1.145748+5 1.930000-4 1.125238+5 2.089296-4 1.103658+5 2.454709-4 1.068793+5 2.660725-4 1.045431+5 2.884032-4 1.015246+5 3.126079-4 9.786454+4 3.388442-4 9.361451+4 3.630781-4 8.952915+4 3.890451-4 8.508276+4 4.265795-4 7.883922+4 4.623810-4 7.327644+4 5.011872-4 6.765156+4 5.500000-4 6.119420+4 6.095369-4 5.433506+4 6.683439-4 4.848477+4 7.413102-4 4.231017+4 8.200000-4 3.680400+4 9.120108-4 3.151950+4 1.011579-3 2.692767+4 1.135011-3 2.242698+4 1.273503-3 1.853973+4 1.428894-3 1.521260+4 1.584893-3 1.265767+4 1.778279-3 1.025425+4 2.018366-3 8.072358+3 2.300000-3 6.256620+3 2.600160-3 4.889045+3 2.917427-3 3.853549+3 3.273407-3 3.017793+3 3.672823-3 2.347978+3 4.120975-3 1.814376+3 4.677351-3 1.356002+3 5.248075-3 1.033401+3 5.956621-3 7.605449+2 6.760830-3 5.554341+2 7.673615-3 4.026024+2 8.709636-3 2.897433+2 9.885531-3 2.070586+2 1.122018-2 1.469381+2 1.288250-2 1.002907+2 1.479108-2 6.791445+1 1.698244-2 4.563375+1 1.949845-2 3.044077+1 2.264644-2 1.947946+1 2.630268-2 1.237168+1 3.090295-2 7.529485+0 3.630781-2 4.547387+0 4.365158-2 2.535366+0 5.370318-2 1.303466+0 6.548850-2 6.848336-1 1.288250-1 7.494903-2 1.640590-1 3.423351-2 1.949845-1 1.969137-2 2.290868-1 1.183826-2 2.630268-1 7.707487-3 3.000000-1 5.159000-3 3.388442-1 3.582893-3 3.801894-1 2.555741-3 4.265795-1 1.836569-3 4.731513-1 1.373358-3 5.248075-1 1.033920-3 5.821032-1 7.839459-4 6.382635-1 6.169620-4 7.079458-1 4.747590-4 7.852356-1 3.682346-4 8.709636-1 2.867841-4 9.332543-1 2.444149-4 9.885531-1 2.152418-4 1.071519+0 1.818221-4 1.161449+0 1.546294-4 1.258925+0 1.325497-4 1.396368+0 1.096142-4 1.659587+0 8.074722-5 1.883649+0 6.496072-5 2.137962+0 5.263658-5 2.398833+0 4.378911-5 2.722701+0 3.602636-5 3.162278+0 2.884402-5 3.672823+0 2.327039-5 4.315191+0 1.861519-5 5.069907+0 1.500282-5 6.025596+0 1.199567-5 7.244360+0 9.519645-6 9.015711+0 7.296555-6 1.109175+1 5.716394-6 1.364583+1 4.505403-6 1.717908+1 3.478977-6 2.400000+1 2.412700-6 3.427678+1 1.648391-6 5.188000+1 1.067811-6 8.413951+1 6.487558-7 1.659587+2 3.248458-7 3.311311+2 1.618589-7 1.318257+3 4.045477-8 1.000000+5 5.32630-10 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.309700-4 5.486700-5 1.000000+5 5.486700-5 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.309700-4 1.346300-9 1.000000+5 1.346300-9 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.309700-4 7.610165-5 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.209200-4 4.183960+5 1.225000-4 4.206080+5 1.244515-4 4.205166+5 1.270000-4 4.171880+5 1.303167-4 4.098967+5 1.350000-4 3.967884+5 1.396368-4 3.820044+5 1.470000-4 3.595732+5 1.520000-4 3.475868+5 1.566751-4 3.389315+5 1.621810-4 3.313996+5 1.698244-4 3.242788+5 1.819701-4 3.169012+5 2.113489-4 3.026590+5 2.317395-4 2.923897+5 2.511886-4 2.816949+5 2.722701-4 2.691909+5 2.951209-4 2.553732+5 3.200000-4 2.406596+5 3.467369-4 2.253051+5 3.758374-4 2.092954+5 4.120975-4 1.909041+5 4.518559-4 1.729480+5 4.954502-4 1.555212+5 5.432503-4 1.388202+5 6.056200-4 1.205236+5 6.683439-4 1.052334+5 7.500000-4 8.905760+4 8.317638-4 7.613242+4 9.332543-4 6.345532+4 1.047129-3 5.249799+4 1.188502-3 4.225193+4 1.318257-3 3.515678+4 1.496236-3 2.787741+4 1.698244-3 2.193004+4 1.927525-3 1.712067+4 2.187762-3 1.326720+4 2.483133-3 1.020483+4 2.786121-3 7.987329+3 3.126079-3 6.212966+3 3.507519-3 4.801687+3 3.935501-3 3.686680+3 4.415704-3 2.811303+3 5.011872-3 2.070453+3 5.688529-3 1.512718+3 6.456542-3 1.096556+3 7.328245-3 7.888192+2 8.317638-3 5.632420+2 9.440609-3 3.992669+2 1.071519-2 2.809924+2 1.216186-2 1.963523+2 1.380384-2 1.362552+2 1.566751-2 9.390368+1 1.798871-2 6.208645+1 2.065380-2 4.074183+1 2.371374-2 2.654282+1 2.754229-2 1.655911+1 3.203000-2 1.021202+1 3.758374-2 6.071954+0 4.466836-2 3.436182+0 5.248075-2 2.006165+0 6.456542-2 9.956830-1 8.709636-2 3.584678-1 1.364583-1 7.700606-2 1.659587-1 3.965834-2 1.949845-1 2.312183-2 2.264644-1 1.410651-2 2.570396-1 9.352578-3 2.884032-1 6.481072-3 3.198895-1 4.688917-3 3.548134-1 3.415105-3 3.935501-1 2.505485-3 4.315191-1 1.915214-3 4.731513-1 1.473689-3 5.188000-1 1.141894-3 5.688529-1 8.912585-4 6.237348-1 7.008680-4 6.839117-1 5.553958-4 7.498942-1 4.434166-4 8.511380-1 3.286480-4 9.120108-1 2.807916-4 9.772372-1 2.414687-4 1.059254+0 2.042340-4 1.161449+0 1.698138-4 1.273503+0 1.424049-4 1.412538+0 1.177034-4 1.640590+0 9.021407-5 1.862087+0 7.254167-5 2.113489+0 5.874336-5 2.371374+0 4.883675-5 2.691535+0 4.015236-5 3.126079+0 3.212729-5 3.630781+0 2.590379-5 4.265795+0 2.071020-5 5.011872+0 1.668268-5 6.000000+0 1.320900-5 7.244360+0 1.042645-5 9.015711+0 7.991503-6 1.109175+1 6.260811-6 1.364583+1 4.934536-6 1.717908+1 3.810284-6 2.400000+1 2.642400-6 3.427678+1 1.805419-6 5.188000+1 1.169456-6 8.609938+1 6.939792-7 1.717908+2 3.435528-7 3.427678+2 1.712237-7 1.364583+3 4.279995-8 1.000000+5 5.83360-10 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.209200-4 5.493600-5 1.000000+5 5.493600-5 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.209200-4 7.22030-10 1.000000+5 7.22030-10 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.209200-4 6.598328-5 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 5.071000-5 8.926880+5 5.100000-5 9.115560+5 5.130000-5 9.353640+5 5.160000-5 9.638640+5 5.190000-5 9.978440+5 5.220000-5 1.037148+6 5.250000-5 1.083364+6 5.290000-5 1.155612+6 5.315000-5 1.207772+6 5.350000-5 1.291196+6 5.385000-5 1.387956+6 5.420000-5 1.499432+6 5.465000-5 1.666916+6 5.500000-5 1.818216+6 5.540000-5 2.016416+6 5.595000-5 2.339316+6 5.650000-5 2.729228+6 5.710000-5 3.243668+6 5.800000-5 4.222360+6 5.970000-5 6.917480+6 6.050000-5 8.628040+6 6.110000-5 1.009928+7 6.165950-5 1.159828+7 6.220000-5 1.313892+7 6.260000-5 1.431416+7 6.300000-5 1.549892+7 6.340000-5 1.667144+7 6.385000-5 1.794656+7 6.420000-5 1.888600+7 6.465000-5 1.999880+7 6.500000-5 2.077472+7 6.540000-5 2.154644+7 6.580000-5 2.219080+7 6.612800-5 2.261797+7 6.650000-5 2.298912+7 6.690000-5 2.325384+7 6.730000-5 2.339212+7 6.770000-5 2.341028+7 6.815000-5 2.330132+7 6.870000-5 2.300512+7 6.920000-5 2.261472+7 6.970000-5 2.213144+7 7.030000-5 2.145976+7 7.110000-5 2.046196+7 7.190000-5 1.940352+7 7.300000-5 1.792772+7 7.450000-5 1.597748+7 7.585776-5 1.433419+7 7.762471-5 1.240554+7 7.950000-5 1.061108+7 8.150000-5 8.963600+6 8.350000-5 7.559800+6 8.570000-5 6.260920+6 8.810489-5 5.092907+6 9.120108-5 3.908151+6 9.500000-5 2.835036+6 9.950000-5 1.954040+6 1.040000-4 1.359484+6 1.083927-4 9.625726+5 1.205000-4 3.925804+5 1.233400-4 3.239682+5 1.260000-4 2.735372+5 1.280000-4 2.429404+5 1.300000-4 2.176844+5 1.318257-4 1.986769+5 1.335900-4 1.835111+5 1.350000-4 1.733936+5 1.365000-4 1.643720+5 1.380384-4 1.567901+5 1.396368-4 1.505094+5 1.412538-4 1.456260+5 1.428894-4 1.420151+5 1.445440-4 1.395619+5 1.462177-4 1.381578+5 1.480000-4 1.377028+5 1.500000-4 1.382936+5 1.520000-4 1.398756+5 1.540000-4 1.422916+5 1.566751-4 1.465912+5 1.600000-4 1.532692+5 1.645700-4 1.641332+5 1.760000-4 1.952776+5 1.820000-4 2.119868+5 1.883649-4 2.290233+5 1.950000-4 2.455280+5 2.000000-4 2.569196+5 2.065380-4 2.703250+5 2.120000-4 2.801972+5 2.190000-4 2.911096+5 2.264644-4 3.006878+5 2.350000-4 3.092328+5 2.430000-4 3.151552+5 2.511886-4 3.194092+5 2.620000-4 3.226768+5 2.730000-4 3.237128+5 2.851018-4 3.225970+5 2.985383-4 3.190507+5 3.126079-4 3.133231+5 3.280000-4 3.053516+5 3.467369-4 2.940262+5 3.672823-4 2.805244+5 3.890451-4 2.658323+5 4.120975-4 2.502048+5 4.365158-4 2.339253+5 4.623810-4 2.173648+5 4.954502-4 1.975340+5 5.308844-4 1.783224+5 5.688529-4 1.598315+5 6.100000-4 1.421284+5 6.606934-4 1.232815+5 7.161434-4 1.060453+5 7.800000-4 8.965080+4 8.511380-4 7.489017+4 9.225714-4 6.303552+4 1.000000-3 5.272920+4 1.110000-3 4.149080+4 1.230269-3 3.246839+4 1.364583-3 2.515276+4 1.513561-3 1.932874+4 1.678804-3 1.473568+4 1.862087-3 1.115783+4 2.065380-3 8.389176+3 2.290868-3 6.261423+3 2.540973-3 4.640456+3 2.818383-3 3.415147+3 3.126079-3 2.495911+3 3.467369-3 1.811570+3 3.845918-3 1.306079+3 4.265795-3 9.354300+2 4.786301-3 6.407257+2 5.370318-3 4.355058+2 6.025596-3 2.938328+2 6.760830-3 1.968401+2 7.673615-3 1.257523+2 8.709636-3 7.971285+1 9.885531-3 5.014119+1 1.122018-2 3.130120+1 1.273503-2 1.939867+1 1.462177-2 1.142098+1 1.678804-2 6.672192+0 1.949845-2 3.698161+0 2.290868-2 1.943095+0 2.691535-2 1.013347+0 3.235937-2 4.777421-1 4.027170-2 1.938644-1 8.222426-2 1.000410-2 1.011580-1 4.255426-3 1.202264-1 2.101057-3 1.412538-1 1.095213-3 1.640590-1 6.026185-4 1.862087-1 3.659733-4 2.113489-1 2.238683-4 2.371374-1 1.442036-4 2.660725-1 9.356545-5 2.951209-1 6.382031-5 3.273407-1 4.384067-5 3.630781-1 3.033168-5 4.027170-1 2.113996-5 4.466836-1 1.484346-5 4.897788-1 1.091623-5 5.370318-1 8.085112-6 5.888437-1 6.033105-6 6.382635-1 4.700435-6 6.918310-1 3.685170-6 7.498942-1 2.907658-6 8.609938-1 1.953383-6 9.120108-1 1.666301-6 9.549926-1 1.476365-6 1.000000+0 1.316700-6 1.047129+0 1.183210-6 1.096478+0 1.071056-6 1.161449+0 9.536230-7 1.230269+0 8.549463-7 1.333521+0 7.397042-7 1.479108+0 6.195180-7 1.840772+0 4.237818-7 2.065380+0 3.492426-7 2.317395+0 2.899452-7 2.630268+0 2.380699-7 3.019952+0 1.935137-7 3.507519+0 1.557457-7 4.073803+0 1.262914-7 4.786301+0 1.015200-7 5.688529+0 8.096919-8 6.839116+0 6.410711-8 8.413951+0 4.971509-8 1.023293+1 3.937582-8 1.318257+1 2.937293-8 1.698244+1 2.209366-8 2.317395+1 1.571462-8 3.235937+1 1.098572-8 4.841724+1 7.193794-9 7.585776+1 4.523584-9 1.445440+2 2.343146-9 2.884032+2 1.166242-9 1.148154+3 2.91337-10 1.000000+5 3.33960-12 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 5.071000-5 2.771700-5 1.000000+5 2.771700-5 1 52000 7 7 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 5.071000-5 6.62680-10 1.000000+5 6.62680-10 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 5.071000-5 2.299234-5 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 4.918000-5 1.404408+6 4.954502-5 1.439762+6 4.990000-5 1.483920+6 5.020000-5 1.529244+6 5.061000-5 1.605691+6 5.095000-5 1.682886+6 5.130000-5 1.777338+6 5.160000-5 1.871274+6 5.190000-5 1.978584+6 5.230000-5 2.144730+6 5.270000-5 2.340378+6 5.315000-5 2.600388+6 5.350000-5 2.835354+6 5.400000-5 3.227412+6 5.450000-5 3.694920+6 5.500000-5 4.248558+6 5.560000-5 5.043978+6 5.650000-5 6.552180+6 5.821032-5 1.070835+7 5.900000-5 1.328034+7 5.970000-5 1.590144+7 6.025596-5 1.817857+7 6.070000-5 2.008980+7 6.116700-5 2.215002+7 6.165950-5 2.432867+7 6.200000-5 2.580624+7 6.240000-5 2.747904+7 6.280000-5 2.905074+7 6.315000-5 3.031728+7 6.350000-5 3.146232+7 6.385000-5 3.247092+7 6.420000-5 3.333018+7 6.465000-5 3.420606+7 6.500000-5 3.470652+7 6.541300-5 3.509836+7 6.580000-5 3.527814+7 6.630000-5 3.526500+7 6.683439-5 3.498158+7 6.730000-5 3.454332+7 6.785000-5 3.384072+7 6.850000-5 3.281424+7 6.920000-5 3.154572+7 7.000000-5 2.997540+7 7.110000-5 2.773764+7 7.244360-5 2.504184+7 7.400000-5 2.211168+7 7.585776-5 1.896857+7 7.762471-5 1.634568+7 7.950000-5 1.392618+7 8.150000-5 1.171668+7 8.400000-5 9.423600+6 8.650000-5 7.572720+6 8.912509-5 6.021573+6 9.225714-5 4.590510+6 9.549926-5 3.479434+6 9.950000-5 2.487288+6 1.040000-4 1.719864+6 1.083927-4 1.210318+6 1.174898-4 6.058328+5 1.205000-4 4.901964+5 1.230269-4 4.147734+5 1.250000-4 3.672114+5 1.265000-4 3.367650+5 1.280000-4 3.106722+5 1.295000-4 2.884704+5 1.307000-4 2.732298+5 1.322000-4 2.570148+5 1.335900-4 2.445271+5 1.350000-4 2.340960+5 1.365000-4 2.252142+5 1.380384-4 2.182188+5 1.396368-4 2.129604+5 1.412538-4 2.094765+5 1.430000-4 2.075286+5 1.445440-4 2.071773+5 1.465000-4 2.083272+5 1.485000-4 2.110770+5 1.500000-4 2.140284+5 1.520000-4 2.189640+5 1.550000-4 2.281146+5 1.584893-4 2.407419+5 1.720000-4 2.989098+5 1.780000-4 3.255222+5 1.840772-4 3.513247+5 1.900000-4 3.747684+5 1.950000-4 3.929970+5 2.000000-4 4.096686+5 2.065380-4 4.290171+5 2.120000-4 4.430256+5 2.190000-4 4.581798+5 2.264644-4 4.711008+5 2.350000-4 4.822440+5 2.430000-4 4.896540+5 2.511886-4 4.946173+5 2.620000-4 4.976718+5 2.730000-4 4.973496+5 2.851018-4 4.937953+5 2.985383-4 4.867164+5 3.126079-4 4.764463+5 3.280000-4 4.627500+5 3.467369-4 4.440862+5 3.672823-4 4.224373+5 3.890451-4 3.990484+5 4.120975-4 3.745839+5 4.365158-4 3.493469+5 4.677351-4 3.186510+5 5.011872-4 2.885448+5 5.400000-4 2.571732+5 5.800000-4 2.287182+5 6.237348-4 2.014317+5 6.700000-4 1.767054+5 7.328245-4 1.487574+5 7.943282-4 1.263881+5 8.609938-4 1.067083+5 9.440609-4 8.728722+4 1.050000-3 6.852240+4 1.161449-3 5.399700+4 1.300000-3 4.096974+4 1.440000-3 3.162828+4 1.603245-3 2.390737+4 1.778279-3 1.811418+4 1.972423-3 1.362322+4 2.187762-3 1.017331+4 2.426610-3 7.543158+3 2.691535-3 5.553511+3 3.000000-3 3.999858+3 3.349654-3 2.843241+3 3.715352-3 2.048549+3 4.120975-3 1.466204+3 4.570882-3 1.042452+3 5.128614-3 7.082066+2 5.754399-3 4.775098+2 6.456542-3 3.196571+2 7.244360-3 2.125036+2 8.222426-3 1.345668+2 9.332543-3 8.454658+1 1.047129-2 5.503425+1 1.188502-2 3.406466+1 1.348963-2 2.093157+1 1.548817-2 1.220809+1 1.778279-2 7.065178+0 2.041738-2 4.058182+0 2.371374-2 2.206801+0 2.786121-2 1.135979+0 3.388442-2 5.027675-1 4.265795-2 1.910870-1 8.413951-2 1.081289-2 1.023293-1 4.753829-3 1.202264-1 2.431782-3 1.396368-1 1.314473-3 1.603245-1 7.505949-4 1.798871-1 4.737274-4 2.018366-1 3.011980-4 2.238721-1 2.018342-4 2.483133-1 1.362562-4 2.722701-1 9.673902-5 3.000000-1 6.794400-5 3.273407-1 4.978098-5 3.589219-1 3.610837-5 3.890451-1 2.744369-5 4.216965-1 2.099254-5 4.570882-1 1.616804-5 4.954502-1 1.254321-5 5.370318-1 9.810794-6 5.821032-1 7.731003-6 6.309573-1 6.134503-6 6.839117-1 4.900878-6 7.413102-1 3.942152-6 8.511380-1 2.746369-6 9.015711-1 2.375865-6 9.549926-1 2.068888-6 1.000000+0 1.862500-6 1.071519+0 1.605013-6 1.148154+0 1.394130-6 1.216186+0 1.247448-6 1.333521+0 1.053145-6 1.621810+0 7.459124-7 1.862087+0 5.875778-7 2.089296+0 4.847475-7 2.344229+0 4.027264-7 2.660725+0 3.308922-7 3.054921+0 2.691123-7 3.548134+0 2.167168-7 4.120975+0 1.758262-7 4.841724+0 1.414185-7 5.754399+0 1.128519-7 6.918310+0 8.938980-8 8.511380+0 6.935117-8 1.035142+1 5.495194-8 1.318257+1 4.154888-8 1.698244+1 3.125180-8 2.344229+1 2.195188-8 3.311311+1 1.516401-8 5.011872+1 9.816444-9 8.000000+1 6.059200-9 1.548817+2 3.090044-9 3.090295+2 1.538885-9 1.230269+3 3.84525-10 1.000000+5 4.72390-12 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 4.918000-5 2.771000-5 1.000000+5 2.771000-5 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 4.918000-5 2.147000-5 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 1.845000-5 2.201160+5 1.880000-5 1.897442+5 1.927525-5 1.544667+5 1.972423-5 1.268750+5 2.020000-5 1.027700+5 2.070000-5 8.229420+4 2.170000-5 5.317240+4 2.213095-5 4.450929+4 2.250000-5 3.858380+4 2.277000-5 3.501620+4 2.300000-5 3.243900+4 2.322000-5 3.033700+4 2.344229-5 2.854710+4 2.365000-5 2.715420+4 2.385000-5 2.604960+4 2.405000-5 2.516040+4 2.426610-5 2.442366+4 2.442000-5 2.403120+4 2.460000-5 2.370220+4 2.477000-5 2.351240+4 2.500000-5 2.342880+4 2.520000-5 2.350620+4 2.540973-5 2.372536+4 2.560000-5 2.403660+4 2.587000-5 2.464600+4 2.610000-5 2.530660+4 2.640000-5 2.634300+4 2.670000-5 2.755560+4 2.710000-5 2.940740+4 2.770000-5 3.259840+4 2.900000-5 4.067440+4 2.980000-5 4.610120+4 3.054921-5 5.131327+4 3.126079-5 5.628539+4 3.198895-5 6.132483+4 3.273407-5 6.637474+4 3.350000-5 7.140740+4 3.427678-5 7.631135+4 3.507519-5 8.111421+4 3.610000-5 8.689520+4 3.715352-5 9.236484+4 3.801894-5 9.649179+4 3.900000-5 1.007728+5 4.030000-5 1.058110+5 4.168694-5 1.104259+5 4.315191-5 1.145049+5 4.466836-5 1.179368+5 4.650000-5 1.211158+5 4.850000-5 1.235290+5 5.069907-5 1.251053+5 5.308844-5 1.257768+5 5.559043-5 1.255585+5 5.821032-5 1.245505+5 6.150000-5 1.224654+5 6.531306-5 1.192789+5 6.918310-5 1.155553+5 7.413102-5 1.104744+5 8.035261-5 1.040062+5 8.810489-5 9.628445+4 9.660509-5 8.848358+4 1.059254-4 8.076551+4 1.174898-4 7.232924+4 1.318257-4 6.344758+4 1.531087-4 5.300701+4 1.972423-4 3.875343+4 2.238721-4 3.295697+4 2.540973-4 2.783002+4 3.019952-4 2.189926+4 3.548134-4 1.739315+4 4.365158-4 1.280821+4 5.128614-4 1.004391+4 5.956621-4 7.949973+3 7.079458-4 6.024913+3 8.810489-4 4.202312+3 1.059254-3 3.077166+3 1.303167-3 2.150532+3 1.566751-3 1.553467+3 1.927525-3 1.069449+3 2.398833-3 7.155341+2 2.985383-3 4.749638+2 3.672823-3 3.199495+2 4.518559-3 2.139308+2 5.688529-3 1.356485+2 6.918310-3 9.139615+1 8.317638-3 6.254327+1 9.885531-3 4.349682+1 1.174898-2 2.999163+1 1.396368-2 2.051728+1 1.659587-2 1.392509+1 1.949845-2 9.628079+0 2.290868-2 6.609047+0 2.691535-2 4.504036+0 3.162278-2 3.047452+0 3.715352-2 2.046684+0 4.415704-2 1.325665+0 5.188000-2 8.775748-1 6.165950-2 5.597978-1 7.413102-2 3.439926-1 8.609938-2 2.302413-1 1.071519-1 1.269683-1 1.462177-1 5.398117-2 2.426610-1 1.333625-2 2.917427-1 8.075058-3 3.427678-1 5.242889-3 3.935501-1 3.647064-3 4.466836-1 2.634125-3 5.011872-1 1.973269-3 5.623413-1 1.489232-3 6.237348-1 1.163951-3 6.918310-1 9.160535-4 7.673615-1 7.260086-4 8.511380-1 5.793011-4 9.332543-1 4.769862-4 1.023293+0 3.954249-4 1.161449+0 3.073615-4 1.288250+0 2.522317-4 1.462177+0 1.993796-4 1.621810+0 1.656681-4 1.840772+0 1.331669-4 2.113489+0 1.057633-4 2.371374+0 8.792376-5 2.691535+0 7.229189-5 3.126079+0 5.784704-5 3.630781+0 4.664137-5 4.265795+0 3.729029-5 5.011872+0 3.003880-5 6.000000+0 2.378400-5 7.244360+0 1.877328-5 9.015711+0 1.438894-5 1.109175+1 1.127263-5 1.364583+1 8.884949-6 1.717908+1 6.860722-6 2.371374+1 4.820309-6 3.388442+1 3.290547-6 5.128614+1 2.131053-6 8.317638+1 1.294574-6 1.621810+2 6.557409-7 3.235937+2 3.266816-7 1.288250+3 8.164329-8 1.000000+5 1.050400-9 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 1.845000-5 1.845000-5 1.000000+5 1.845000-5 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.845000-5 0.0 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 9.230000-6 2.685566+7 9.549926-6 2.578418+7 9.772372-6 2.496851+7 1.000000-5 2.407767+7 1.035142-5 2.263945+7 1.071519-5 2.110376+7 1.110000-5 1.950395+7 1.150000-5 1.788596+7 1.188502-5 1.640793+7 1.230269-5 1.491298+7 1.288400-5 1.303087+7 1.350000-5 1.128420+7 1.428894-5 9.397106+6 1.531087-5 7.455611+6 1.659587-5 5.646119+6 1.927525-5 3.331770+6 2.317395-5 1.736709+6 2.691535-5 1.030098+6 3.090295-5 6.407942+5 3.589219-5 3.860069+5 4.120975-5 2.435504+5 4.570882-5 1.735307+5 4.954502-5 1.341398+5 5.308844-5 1.082513+5 5.650000-5 8.982458+4 6.000000-5 7.557541+4 6.309573-5 6.583212+4 6.650000-5 5.740292+4 7.000000-5 5.059041+4 7.328245-5 4.548088+4 7.673615-5 4.112004+4 8.035261-5 3.740335+4 8.413951-5 3.421786+4 8.810489-5 3.147804+4 9.332543-5 2.856525+4 9.900000-5 2.605127+4 1.047129-4 2.402663+4 1.120000-4 2.196955+4 1.202264-4 2.015584+4 1.300000-4 1.847889+4 1.412538-4 1.698909+4 1.548817-4 1.559022+4 1.757924-4 1.396641+4 2.238721-4 1.139275+4 2.511886-4 1.027563+4 2.818383-4 9.200218+3 3.198895-4 8.080215+3 3.630781-4 7.044067+3 4.216965-4 5.940108+3 4.731513-4 5.178160+3 5.248075-4 4.546538+3 5.888437-4 3.904225+3 6.606934-4 3.325981+3 7.498942-4 2.766541+3 8.609938-4 2.245409+3 9.549926-4 1.908087+3 1.083927-3 1.551948+3 1.230269-3 1.252941+3 1.396368-3 1.004084+3 1.584893-3 7.988386+2 1.798871-3 6.310042+2 2.041738-3 4.948826+2 2.317395-3 3.854235+2 2.630268-3 2.980185+2 3.000000-3 2.264008+2 3.388442-3 1.743075+2 3.845918-3 1.318093+2 4.370000-3 9.866972+1 4.623810-3 8.720640+1 4.954502-3 7.439289+1 5.370318-3 6.127236+1 6.839116-3 3.354741+1 7.762471-3 2.430893+1 8.810489-3 1.748969+1 1.000000-2 1.249547+1 1.135011-2 8.865515+0 1.303167-2 6.049978+0 1.496236-2 4.096307+0 1.717908-2 2.752052+0 1.972423-2 1.835611+0 2.290868-2 1.174475+0 2.660725-2 7.458395-1 3.126079-2 4.538769-1 3.672823-2 2.740914-1 4.415704-2 1.528198-1 5.432503-2 7.855880-2 6.606934-2 4.162755-2 1.288250-1 4.688578-3 1.640590-1 2.141568-3 1.949845-1 1.231887-3 2.290868-1 7.405901-4 2.630268-1 4.821540-4 3.000000-1 3.227100-4 3.388442-1 2.241046-4 3.801894-1 1.598439-4 4.265795-1 1.148485-4 4.731513-1 8.587089-5 5.248075-1 6.464530-5 5.821032-1 4.901973-5 6.456542-1 3.746045-5 7.161434-1 2.885490-5 7.943282-1 2.240438-5 8.709636-1 1.794625-5 9.332543-1 1.529851-5 9.885531-1 1.347401-5 1.071519+0 1.138241-5 1.161449+0 9.680734-6 1.258925+0 8.298846-6 1.396368+0 6.862467-6 1.659587+0 5.054748-6 1.883649+0 4.066571-6 2.137962+0 3.295072-6 2.398833+0 2.741188-6 2.722701+0 2.255209-6 3.162278+0 1.805582-6 3.672823+0 1.456686-6 4.315191+0 1.165304-6 5.069907+0 9.391861-7 6.025596+0 7.509104-7 7.244360+0 5.959259-7 9.015711+0 4.567657-7 1.109175+1 3.578454-7 1.364583+1 2.820389-7 1.717908+1 2.177830-7 2.400000+1 1.510300-7 3.427678+1 1.031944-7 5.188000+1 6.684246-8 8.511380+1 4.013625-8 1.698244+2 1.986624-8 3.388442+2 9.900460-9 1.348963+3 2.474657-9 1.000000+5 3.33430-11 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 9.230000-6 9.230000-6 1.000000+5 9.230000-6 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 9.230000-6 0.0 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 8.310000-6 5.679660+7 8.511380-6 5.497492+7 8.810489-6 5.209770+7 9.120108-6 4.901448+7 9.500000-6 4.519686+7 9.850000-6 4.173659+7 1.023293-5 3.811356+7 1.060000-5 3.483631+7 1.100000-5 3.151231+7 1.150000-5 2.774803+7 1.202264-5 2.427428+7 1.270000-5 2.042533+7 1.350000-5 1.671173+7 1.445440-5 1.324664+7 1.570000-5 9.922146+6 1.778279-5 6.361210+6 2.213095-5 2.904028+6 2.511886-5 1.856579+6 2.818383-5 1.244924+6 3.126079-5 8.748749+5 3.427678-5 6.435271+5 3.715352-5 4.947893+5 4.027170-5 3.830820+5 4.315191-5 3.097558+5 4.570882-5 2.610715+5 4.841724-5 2.215071+5 5.128614-5 1.893768+5 5.400000-5 1.657687+5 5.688529-5 1.460297+5 5.956621-5 1.314159+5 6.237348-5 1.190211+5 6.531306-5 1.084834+5 6.839116-5 9.949339+4 7.161434-5 9.177424+4 7.585776-5 8.356305+4 8.035261-5 7.664150+4 8.609938-5 6.963448+4 9.300000-5 6.309368+4 1.011579-4 5.709735+4 1.109175-4 5.156002+4 1.230269-4 4.630503+4 1.412538-4 4.046601+4 1.840772-4 3.165729+4 2.162719-4 2.721171+4 2.426610-4 2.426365+4 2.722701-4 2.145501+4 3.054921-4 1.883446+4 3.467369-4 1.620060+4 3.981072-4 1.363869+4 4.518559-4 1.158804+4 5.069907-4 9.925701+3 5.688529-4 8.436006+3 6.382635-4 7.116138+3 7.244360-4 5.855408+3 8.222426-4 4.784039+3 9.440609-4 3.806120+3 1.071519-3 3.063700+3 1.216186-3 2.448155+3 1.380384-3 1.942019+3 1.566751-3 1.529142+3 1.778279-3 1.195514+3 2.041738-3 9.068234+2 2.317395-3 6.990842+2 2.630268-3 5.351759+2 3.000000-3 4.024448+2 3.388442-3 3.070030+2 3.845918-3 2.299585+2 4.365158-3 1.709101+2 4.954502-3 1.259557+2 5.623413-3 9.209672+1 6.382635-3 6.681837+1 7.244360-3 4.811034+1 8.222426-3 3.438432+1 9.332543-3 2.439697+1 1.059254-2 1.718631+1 1.202264-2 1.202103+1 1.364583-2 8.349764+0 1.548817-2 5.759936+0 1.778279-2 3.812038+0 2.041738-2 2.503820+0 2.344229-2 1.632569+0 2.722701-2 1.019329+0 3.162278-2 6.316812-1 3.715352-2 3.742756-1 4.415704-2 2.119452-1 5.248075-2 1.191601-1 6.456542-2 5.919816-2 8.709636-2 2.134561-2 1.380384-1 4.414428-3 1.678804-1 2.274938-3 1.972423-1 1.327231-3 2.264644-1 8.414222-4 2.570396-1 5.579399-4 2.884032-1 3.866910-4 3.235937-1 2.700209-4 3.589219-1 1.968466-4 3.981072-1 1.445715-4 4.365158-1 1.106405-4 4.786301-1 8.524219-5 5.248075-1 6.614075-5 5.754399-1 5.169649-5 6.309573-1 4.071389-5 6.918310-1 3.231211-5 7.585776-1 2.583958-5 8.511380-1 1.971780-5 9.225714-1 1.644036-5 9.885531-1 1.416574-5 1.083927+0 1.172517-5 1.188600+0 9.770700-6 1.303167+0 8.202412-6 1.445440+0 6.788486-6 1.678804+0 5.210238-6 1.905461+0 4.195052-6 2.162719+0 3.401696-6 2.454709+0 2.781337-6 2.786121+0 2.291263-6 3.235937+0 1.836670-6 3.758374+0 1.483477-6 4.415704+0 1.188067-6 5.248075+0 9.441494-7 6.309573+0 7.449819-7 7.585776+0 5.923188-7 9.332543+0 4.610578-7 1.174898+1 3.521070-7 1.428894+1 2.816077-7 1.819701+1 2.149525-7 2.600160+1 1.457304-7 3.715352+1 9.969040-8 5.754399+1 6.314607-8 1.035142+2 3.456192-8 2.065380+2 1.714419-8 8.222427+2 4.275374-9 2.600160+4 1.34875-10 1.000000+5 3.50720-11 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 8.310000-6 8.310000-6 1.000000+5 8.310000-6 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 8.310000-6 0.0 1.000000+5 1.000000+5 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.751050-7 1.028100+0 1.294960-6 1.028750+0 1.751050-6 1.029500+0 2.396360-6 1.030100+0 3.013710-6 1.031000+0 4.123780-6 1.032000+0 5.642370-6 1.033200+0 7.904010-6 1.034000+0 9.702900-6 1.035300+0 1.317030-5 1.036640+0 1.751050-5 1.038200+0 2.363100-5 1.039700+0 3.070140-5 1.041500+0 4.084780-5 1.043800+0 5.669810-5 1.046400+0 7.888470-5 1.048300+0 9.821360-5 1.051200+0 1.332250-4 1.054080+0 1.751050-4 1.057700+0 2.386800-4 1.061100+0 3.104640-4 1.065100+0 4.110220-4 1.070400+0 5.734230-4 1.076200+0 7.924720-4 1.080600+0 9.896690-4 1.087100+0 1.333400-3 1.093710+0 1.751050-3 1.102600+0 2.427680-3 1.110700+0 3.165980-3 1.120600+0 4.234760-3 1.133300+0 5.887550-3 1.147500+0 8.128360-3 1.158200+0 1.010140-2 1.174100+0 1.350220-2 1.190110+0 1.751050-2 1.205100+0 2.180500-2 1.227500+0 2.919310-2 1.250000+0 3.770000-2 1.265600+0 4.415540-2 1.294900+0 5.736280-2 1.320600+0 6.993320-2 1.343000+0 8.152160-2 1.382200+0 1.029650-1 1.433800+0 1.330540-1 1.500000+0 1.746000-1 1.589800+0 2.372060-1 1.665000+0 2.950220-1 1.784700+0 3.955630-1 1.892300+0 4.922690-1 2.000000+0 5.916000-1 2.044000+0 6.321000-1 2.163500+0 7.425020-1 2.372600+0 9.360560-1 2.647100+0 1.186570+0 3.000000+0 1.498000+0 3.500000+0 1.914070+0 4.000000+0 2.301000+0 4.750000+0 2.830560+0 5.000000+0 2.994000+0 6.000000+0 3.591000+0 7.000000+0 4.122000+0 8.000000+0 4.600000+0 9.000000+0 5.034000+0 1.000000+1 5.432000+0 1.100000+1 5.798000+0 1.200000+1 6.137000+0 1.300000+1 6.452000+0 1.400000+1 6.742000+0 1.500000+1 7.011000+0 1.600000+1 7.260000+0 1.800000+1 7.716000+0 2.000000+1 8.124000+0 2.200000+1 8.494000+0 2.400000+1 8.830000+0 2.600000+1 9.137000+0 2.800000+1 9.417000+0 3.000000+1 9.676000+0 4.000000+1 1.073000+1 5.000000+1 1.151000+1 6.000000+1 1.211000+1 8.000000+1 1.301000+1 1.000000+2 1.364000+1 1.500000+2 1.465000+1 2.000000+2 1.526000+1 3.000000+2 1.596000+1 4.000000+2 1.637000+1 5.000000+2 1.664000+1 6.000000+2 1.683000+1 8.000000+2 1.708000+1 1.000000+3 1.725000+1 1.500000+3 1.748000+1 2.000000+3 1.761000+1 3.000000+3 1.775000+1 4.000000+3 1.783000+1 5.000000+3 1.788000+1 6.000000+3 1.791000+1 8.000000+3 1.795000+1 1.000000+4 1.798000+1 1.500000+4 1.802000+1 2.000000+4 1.804000+1 3.000000+4 1.806000+1 4.000000+4 1.807000+1 5.000000+4 1.808000+1 6.000000+4 1.808000+1 8.000000+4 1.809000+1 1.000000+5 1.809000+1 1 52000 7 8 1.276000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 5.216530-7 2.099900+0 1.221780-6 2.106600+0 1.699600-6 2.114000+0 2.351620-6 2.119500+0 2.927740-6 2.127900+0 3.970580-6 2.136250+0 5.216530-6 2.147000+0 7.152230-6 2.156900+0 9.289890-6 2.169000+0 1.239790-5 2.184500+0 1.723350-5 2.201800+0 2.384310-5 2.214800+0 2.970660-5 2.234200+0 3.996070-5 2.253680+0 5.216530-5 2.281500+0 7.306670-5 2.307000+0 9.597280-5 2.338200+0 1.290440-4 2.377400+0 1.787100-4 2.410200+0 2.272890-4 2.446800+0 2.891250-4 2.485900+0 3.640240-4 2.532900+0 4.658730-4 2.556430+0 5.216530-4 2.611900+0 6.651680-4 2.660400+0 8.041540-4 2.745300+0 1.076310-3 2.809000+0 1.303480-3 2.904500+0 1.679220-3 3.000000+0 2.096000-3 3.125000+0 2.702630-3 3.234400+0 3.288360-3 3.425800+0 4.427790-3 3.569300+0 5.368690-3 3.784700+0 6.900550-3 4.000000+0 8.547000-3 4.250000+0 1.055960-2 4.625000+0 1.372210-2 5.000000+0 1.701000-2 5.500000+0 2.152420-2 6.000000+0 2.610000-2 6.750000+0 3.290960-2 7.000000+0 3.515000-2 8.000000+0 4.391000-2 9.000000+0 5.228000-2 1.000000+1 6.024000-2 1.100000+1 6.776000-2 1.200000+1 7.485000-2 1.300000+1 8.153000-2 1.400000+1 8.789000-2 1.500000+1 9.389000-2 1.600000+1 9.960000-2 1.800000+1 1.102000-1 2.000000+1 1.198000-1 2.200000+1 1.286000-1 2.400000+1 1.367000-1 2.600000+1 1.441000-1 2.800000+1 1.510000-1 3.000000+1 1.574000-1 4.000000+1 1.840000-1 5.000000+1 2.042000-1 6.000000+1 2.202000-1 8.000000+1 2.442000-1 1.000000+2 2.617000-1 1.500000+2 2.906000-1 2.000000+2 3.087000-1 3.000000+2 3.309000-1 4.000000+2 3.442000-1 5.000000+2 3.533000-1 6.000000+2 3.600000-1 8.000000+2 3.692000-1 1.000000+3 3.753000-1 1.500000+3 3.844000-1 2.000000+3 3.895000-1 3.000000+3 3.951000-1 4.000000+3 3.984000-1 5.000000+3 4.004000-1 6.000000+3 4.018000-1 8.000000+3 4.037000-1 1.000000+4 4.049000-1 1.500000+4 4.065000-1 2.000000+4 4.074000-1 3.000000+4 4.083000-1 4.000000+4 4.089000-1 5.000000+4 4.092000-1 6.000000+4 4.095000-1 8.000000+4 4.097000-1 1.000000+5 4.099000-1 1 52000 7 8 1.276000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 52000 7 9 1.276000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 5.200000+1 1.000000+5 5.200000+1 5.000000+5 5.198500+1 8.750000+5 5.195670+1 1.000000+6 5.195000+1 1.500000+6 5.189400+1 2.000000+6 5.181300+1 2.500000+6 5.170900+1 3.000000+6 5.158300+1 3.500000+6 5.143420+1 4.000000+6 5.126900+1 4.750000+6 5.098240+1 5.000000+6 5.088100+1 5.500000+6 5.065960+1 6.250000+6 5.029440+1 6.500000+6 5.016520+1 7.000000+6 4.990100+1 7.875000+6 4.940660+1 8.500000+6 4.903310+1 8.625000+6 4.895500+1 9.000000+6 4.872800+1 1.000000+7 4.809300+1 1.109400+7 4.736900+1 1.187500+7 4.684500+1 1.203100+7 4.674060+1 1.250000+7 4.642300+1 1.375000+7 4.556830+1 1.500000+7 4.472400+1 1.687500+7 4.348000+1 1.750000+7 4.307500+1 1.937500+7 4.188320+1 2.000000+7 4.150000+1 2.250000+7 4.001010+1 2.375000+7 3.929590+1 2.500000+7 3.860100+1 2.750000+7 3.726250+1 2.875000+7 3.661440+1 3.000000+7 3.598300+1 3.437500+7 3.385610+1 3.500000+7 3.356460+1 3.812500+7 3.213750+1 4.000000+7 3.131400+1 4.500000+7 2.921940+1 5.000000+7 2.730400+1 5.750000+7 2.477260+1 6.000000+7 2.402800+1 7.000000+7 2.149600+1 8.000000+7 1.957400+1 9.000000+7 1.806500+1 1.000000+8 1.679500+1 1.109400+8 1.554460+1 1.125000+8 1.537360+1 1.179700+8 1.477950+1 1.250000+8 1.402900+1 1.312500+8 1.337000+1 1.406300+8 1.240860+1 1.437500+8 1.209740+1 1.500000+8 1.149100+1 1.617200+8 1.041800+1 1.750000+8 9.334070+0 1.753900+8 9.304570+0 2.000000+8 7.689300+0 2.171900+8 6.834920+0 2.289100+8 6.376150+0 2.375000+8 6.099450+0 2.394500+8 6.043250+0 2.500000+8 5.780100+0 2.625000+8 5.544770+0 2.859400+8 5.194580+0 3.000000+8 4.980400+0 3.125000+8 4.767310+0 3.500000+8 4.180700+0 3.875000+8 3.760890+0 4.000000+8 3.623900+0 4.125000+8 3.478260+0 4.234400+8 3.347030+0 4.425800+8 3.117660+0 4.712900+8 2.793850+0 4.750000+8 2.754500+0 5.000000+8 2.510400+0 6.000000+8 1.817200+0 6.343800+8 1.649290+0 6.578100+8 1.555170+0 6.789100+8 1.485820+0 7.000000+8 1.430900+0 7.234400+8 1.385630+0 8.000000+8 1.279900+0 8.250000+8 1.242400+0 8.468800+8 1.207370+0 8.851600+8 1.143960+0 1.000000+9 9.779000-1 1.062500+9 9.113490-1 1.281300+9 7.466480-1 1.356400+9 6.988130-1 1.375000+9 6.871090-1 1.407700+9 6.666080-1 1.469200+9 6.281220-1 1.500000+9 6.088400-1 1.562500+9 5.697590-1 1.641100+9 5.219070-1 1.706900+9 4.837740-1 1.780200+9 4.439390-1 1.858700+9 4.046490-1 1.952900+9 3.621710-1 2.000000+9 3.428300-1 2.139200+9 2.923260-1 2.272600+9 2.520060-1 2.443000+9 2.097630-1 2.602800+9 1.776910-1 2.825100+9 1.424080-1 3.088500+9 1.110430-1 3.327400+9 8.966840-2 3.634100+9 6.917340-2 3.975600+9 5.276640-2 4.423800+9 3.795310-2 5.000000+9 2.579500-2 5.703100+9 1.689240-2 6.523400+9 1.089360-2 8.000000+9 5.558100-3 1.00000+10 2.661100-3 1.20500+10 1.446020-3 1.41820+10 8.529300-4 1.71110+10 4.667170-4 2.16710+10 2.202460-4 2.65670+10 1.160120-4 3.11560+10 7.053170-5 3.97620+10 3.313050-5 4.72910+10 1.943940-5 6.04690+10 9.178220-6 8.02340+10 3.896650-6 1.00000+11 2.008300-6 1.34280+11 8.313370-7 1.77440+11 3.628120-7 2.63330+11 1.129690-7 4.88110+11 1.854140-8 1.16740+12 1.486650-9 3.55150+12 6.18606-11 1.00000+14 5.03890-15 5.62340+14 3.79248-17 2.73840+16 5.78558-22 1.00000+17 1.41590-23 1 52000 7 0 1.276000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 5.60000-12 1.000000+2 5.60000-10 1.000000+3 5.600000-8 1.000000+4 5.600000-6 1.000000+5 5.600000-4 5.000000+5 1.400000-2 8.750000+5 4.287500-2 1.000000+6 5.600000-2 1.500000+6 1.250000-1 2.000000+6 2.205000-1 2.500000+6 3.412000-1 3.000000+6 4.854000-1 3.500000+6 6.513750-1 4.000000+6 8.374000-1 4.750000+6 1.149290+0 5.000000+6 1.261000+0 5.500000+6 1.494190+0 6.250000+6 1.865040+0 6.500000+6 1.993250+0 7.000000+6 2.255400+0 7.875000+6 2.727260+0 8.500000+6 3.071420+0 8.625000+6 3.140690+0 9.000000+6 3.349400+0 1.000000+7 3.907000+0 1.109400+7 4.514030+0 1.187500+7 4.943600+0 1.203100+7 5.028430+0 1.250000+7 5.283900+0 1.375000+7 5.954180+0 1.500000+7 6.610000+0 1.687500+7 7.564710+0 1.750000+7 7.875900+0 1.937500+7 8.782220+0 2.000000+7 9.076000+0 2.250000+7 1.020380+1 2.375000+7 1.074090+1 2.500000+7 1.126000+1 2.750000+7 1.224550+1 2.875000+7 1.271420+1 3.000000+7 1.317100+1 3.437500+7 1.467680+1 3.500000+7 1.488210+1 3.812500+7 1.588240+1 4.000000+7 1.646600+1 4.500000+7 1.796620+1 5.000000+7 1.940700+1 5.750000+7 2.146870+1 6.000000+7 2.213400+1 7.000000+7 2.465500+1 8.000000+7 2.692700+1 9.000000+7 2.891200+1 1.000000+8 3.061300+1 1.109400+8 3.219570+1 1.125000+8 3.240140+1 1.179700+8 3.309460+1 1.250000+8 3.391900+1 1.312500+8 3.460080+1 1.406300+8 3.554660+1 1.437500+8 3.584620+1 1.500000+8 3.642200+1 1.617200+8 3.742760+1 1.750000+8 3.847050+1 1.753900+8 3.849920+1 2.000000+8 4.018100+1 2.171900+8 4.119300+1 2.289100+8 4.182100+1 2.375000+8 4.225040+1 2.394500+8 4.234520+1 2.500000+8 4.284000+1 2.625000+8 4.338350+1 2.859400+8 4.429930+1 3.000000+8 4.479800+1 3.125000+8 4.520890+1 3.500000+8 4.629000+1 3.875000+8 4.717260+1 4.000000+8 4.743100+1 4.125000+8 4.766570+1 4.234400+8 4.786630+1 4.425800+8 4.818160+1 4.712900+8 4.859130+1 4.750000+8 4.863950+1 5.000000+8 4.894500+1 6.000000+8 4.980400+1 6.343800+8 5.000900+1 6.578100+8 5.013260+1 6.789100+8 5.023430+1 7.000000+8 5.033300+1 7.234400+8 5.042560+1 8.000000+8 5.070200+1 8.250000+8 5.077570+1 8.468800+8 5.083840+1 8.851600+8 5.094460+1 1.000000+9 5.120700+1 1.062500+9 5.131730+1 1.281300+9 5.161120+1 1.356400+9 5.168520+1 1.375000+9 5.169950+1 1.407700+9 5.172310+1 1.469200+9 5.176610+1 1.500000+9 5.178700+1 1.562500+9 5.181780+1 1.641100+9 5.185280+1 1.706900+9 5.187400+1 1.780200+9 5.189670+1 1.858700+9 5.191580+1 1.952900+9 5.193420+1 2.000000+9 5.194300+1 2.139200+9 5.195920+1 2.272600+9 5.197380+1 2.443000+9 5.198720+1 2.602800+9 5.199350+1 2.825100+9 5.200150+1 3.088500+9 5.200810+1 3.327400+9 5.200670+1 3.634100+9 5.200500+1 3.975600+9 5.200330+1 4.423800+9 5.200130+1 5.000000+9 5.199900+1 5.703100+9 5.199930+1 6.523400+9 5.199960+1 8.000000+9 5.200000+1 1.00000+10 5.200000+1 1.20500+10 5.200000+1 1.41820+10 5.200000+1 1.71110+10 5.200000+1 2.16710+10 5.200000+1 2.65670+10 5.200000+1 3.11560+10 5.200000+1 3.97620+10 5.200000+1 4.72910+10 5.200000+1 6.04690+10 5.200000+1 8.02340+10 5.200000+1 1.00000+11 5.200000+1 1.34280+11 5.200000+1 1.77440+11 5.200000+1 2.63330+11 5.200000+1 4.88110+11 5.200000+1 1.16740+12 5.200000+1 3.55150+12 5.200000+1 1.00000+14 5.200000+1 5.62340+14 5.200000+1 2.73840+16 5.200000+1 1.00000+17 5.200000+1 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.060226-6 0.0 5.156411-6 0.0 5.175449-6 1.103892+0 5.181795-6 1.467188+0 5.194487-6 2.679939+0 5.207179-6 4.518746+0 5.221457-6 7.416616+0 5.243470-6 1.293883+1 5.258740-6 1.654402+1 5.271803-6 1.862134+1 5.285030-6 1.925574+1 5.297807-6 1.834674+1 5.311320-6 1.596035+1 5.332731-6 1.065744+1 5.346789-6 7.204404+0 5.360274-6 4.533718+0 5.372173-6 2.771611+0 5.384865-6 1.524686+0 5.403109-6 4.359650-1 5.410249-6 0.0 6.043761-6 0.0 6.061055-6 1.200748-6 6.087162-6 5.120071-1 6.090892-6 5.844045-1 6.105810-6 1.067463+0 6.120729-6 1.799888+0 6.135647-6 2.801510+0 6.180403-6 6.536655+0 6.197186-6 7.427771+0 6.211172-6 7.690134+0 6.226091-6 7.372069+0 6.242995-6 6.362920+0 6.285765-6 2.806205+0 6.300684-6 1.805856+0 6.314670-6 1.103981+0 6.329588-6 6.073098-1 6.354577-6 1.003769-1 6.359425-6 2.314264-6 6.364731-6 1.794438-6 6.379732-6 9.112356-7 6.394733-6 0.0 6.567080-6 0.0 6.570359-6 3.605192-2 6.602703-6 3.514980+0 6.618875-6 6.402228+0 6.635047-6 1.076664+1 6.652631-6 1.735735+1 6.697612-6 3.773352+1 6.717392-6 4.389254+1 6.734116-6 4.532312+1 6.750870-6 4.300076+1 6.767493-6 3.752372+1 6.813192-6 1.724174+1 6.829839-6 1.149572+1 6.845285-6 7.730284+0 6.861457-6 5.362158+0 6.893801-6 2.943038+0 6.913073-6 3.425463+0 6.929720-6 3.573844+0 6.948404-6 3.395329+0 6.965506-6 2.978066+0 7.012954-6 1.330536+0 7.029601-6 8.589486-1 7.046248-6 5.118735-1 7.062895-6 2.815885-1 7.085500-6 9.189980-2 7.096189-6 9.033839-6 7.137184-6 1.658704-5 7.154412-6 1.874698-5 7.171640-6 1.955905-5 7.188868-6 1.883727-5 7.206096-6 1.674720-5 7.235265-6 1.143656-5 7.239938-6 1.053146-5 7.241949-6 8.813637-3 7.277599-6 1.532176+0 7.295424-6 2.794204+0 7.313249-6 4.704475+0 7.334391-6 7.919744+0 7.381596-6 1.656048+1 7.396196-6 1.858805+1 7.406763-6 1.967296+1 7.424611-6 2.026561+1 7.442866-6 1.932508+1 7.464808-6 1.657551+1 7.508303-6 1.043006+1 7.528127-6 8.856969+0 7.546098-6 8.715937+0 7.563325-6 9.883651+0 7.598715-6 1.496506+1 7.630242-6 2.072740+1 7.642280-6 2.256160+1 7.663384-6 2.446482+1 7.681488-6 2.482844+1 7.701239-6 2.391696+1 7.730018-6 2.084067+1 7.787092-6 1.304326+1 7.809840-6 1.072708+1 7.835456-6 8.745088+0 7.844842-6 8.458468+0 7.880791-6 8.371735+0 7.919102-6 8.612889+0 8.034205-6 7.830625+0 8.149817-6 7.775834+0 8.209676-6 8.921284+0 8.243032-6 1.053137+1 8.307528-6 1.490767+1 8.334017-6 1.590575+1 8.355170-6 1.596532+1 8.378087-6 1.521346+1 8.412445-6 1.307841+1 8.450520-6 1.032803+1 8.465076-6 9.482592+0 8.486854-6 8.647690+0 8.510488-6 8.169778+0 8.546035-6 8.087830+0 8.580602-6 9.101112+0 8.647820-6 1.132449+1 8.671307-6 1.166111+1 8.700532-6 1.151313+1 8.779698-6 1.035996+1 8.840417-6 1.041273+1 9.011804-6 1.057882+1 9.057202-6 1.204958+1 9.083286-6 1.367128+1 9.106477-6 1.579715+1 9.148467-6 2.105897+1 9.186859-6 2.623606+1 9.217208-6 2.857031+1 9.239236-6 2.873037+1 9.261373-6 2.748896+1 9.293220-6 2.376471+1 9.339648-6 1.717090+1 9.368015-6 1.400101+1 9.387029-6 1.241545+1 9.411664-6 1.110857+1 9.453683-6 9.691920+0 9.914649-6 9.343442+0 9.964113-6 1.254979+1 9.988514-6 1.521350+1 1.001292-5 1.922775+1 1.004018-5 2.544548+1 1.010976-5 4.446714+1 1.013847-5 4.924075+1 1.016175-5 5.033565+1 1.018721-5 4.811373+1 1.021099-5 4.341526+1 1.027981-5 2.438016+1 1.030726-5 1.836488+1 1.032861-5 1.481012+1 1.035606-5 1.190167+1 1.040182-5 8.776854+0 1.304399-5 5.835529+0 1.463230-5 4.476339+0 1.600847-5 3.590628+0 1.616608-5 3.667539+0 1.636310-5 4.044018+0 1.644190-5 3.996475+0 1.667832-5 3.327230+0 1.679653-5 3.177593+0 1.716429-5 3.043920+0 1.745714-5 3.034156+0 1.774856-5 2.834809+0 1.922168-5 2.294759+0 2.087623-5 1.844572+0 2.240736-5 1.532483+0 2.418506-5 1.261629+0 2.598500-5 1.056906+0 2.806808-5 8.800538-1 3.025045-5 7.438735-1 3.256278-5 6.367758-1 3.566400-5 5.332351-1 3.966921-5 4.440085-1 3.983423-5 4.410616-1 4.003032-5 1.419104+0 4.012837-5 2.228731+0 4.023255-5 3.561982+0 4.033407-5 5.343611+0 4.051781-5 9.400239+0 4.062473-5 1.195852+1 4.073678-5 1.389040+1 4.083811-5 1.489006+1 4.092926-5 1.514349+1 4.103882-5 1.470627+1 4.134726-5 1.207984+1 4.151369-5 1.032447+1 4.169712-5 7.843489+0 4.179517-5 6.184314+0 4.197266-5 4.121145+0 4.207229-5 3.263554+0 4.217192-5 2.679211+0 4.227156-5 2.313237+0 4.240150-5 1.992784+0 4.247082-5 1.729637+0 4.250336-5 1.713106+0 4.260522-5 1.566061+0 4.291079-5 9.021894-1 4.301265-5 7.209275-1 4.311451-5 5.871895-1 4.321637-5 4.980804-1 4.342009-5 3.882033-1 4.592892-5 3.606077-1 4.615501-5 4.933855-1 4.626806-5 6.038635-1 4.638111-5 7.719064-1 4.649416-5 1.002093+0 4.683330-5 1.861213+0 4.694635-5 2.062554+0 4.708896-5 2.144791+0 4.719205-5 2.090920+0 4.751394-5 1.576166+0 4.764541-5 1.440227+0 4.775726-5 1.415878+0 4.788210-5 1.502620+0 4.816629-5 1.975858+0 4.837801-5 2.370564+0 4.851638-5 2.517221+0 4.866199-5 2.529066+0 4.879335-5 2.436268+0 4.921183-5 1.971659+0 4.932993-5 1.921839+0 4.956182-5 1.953111+0 5.022403-5 2.127425+0 5.104433-5 2.259532+0 5.192306-5 2.551147+0 5.291071-5 3.071539+0 5.359364-5 3.574051+0 5.437471-5 4.336886+0 5.507480-5 5.232690+0 5.590775-5 6.625354+0 5.660541-5 8.122953+0 5.745211-5 1.043678+1 5.840674-5 1.381807+1 5.934923-5 1.805808+1 6.066646-5 2.549421+1 6.367500-5 4.507709+1 6.500000-5 5.151544+1 6.656720-5 5.536838+1 6.835884-5 5.504999+1 7.110000-5 4.925450+1 7.680000-5 3.413113+1 8.036976-5 2.648161+1 8.413951-5 2.010538+1 8.760062-5 1.556613+1 9.092368-5 1.217429+1 9.457607-5 9.330994+0 9.751037-5 7.564459+0 1.006398-4 6.080059+0 1.035763-4 4.973876+0 1.075682-4 3.817590+0 1.109899-4 3.068116+0 1.150648-4 2.394187+0 1.159145-4 2.404506+0 1.165464-4 2.563671+0 1.173511-4 2.913163+0 1.179621-4 3.041528+0 1.186085-4 2.931008+0 1.197253-4 2.626881+0 1.224163-4 2.335522+0 1.249958-4 2.169769+0 1.262652-4 2.192317+0 1.278292-4 2.404799+0 1.288445-4 2.384718+0 1.300000-4 2.287207+0 1.342043-4 2.140961+0 1.413347-4 2.043903+0 1.495000-4 2.057521+0 1.612491-4 2.242316+0 1.624397-4 2.360532+0 1.633512-4 2.591694+0 1.649476-4 3.228673+0 1.656149-4 3.357696+0 1.664087-4 3.257980+0 1.680184-4 2.697850+0 1.689952-4 2.521154+0 1.701930-4 2.530046+0 1.730128-4 2.894884+0 2.113489-4 4.118336+0 2.454709-4 4.927678+0 2.884032-4 5.575450+0 3.306550-4 5.891650+0 3.948818-4 5.997654+0 5.143929-4 5.645557+0 5.636812-4 5.446001+0 5.790380-4 5.930406+0 5.824029-4 6.391503+0 5.846721-4 7.066405+0 5.867425-4 8.085417+0 5.890234-4 9.798461+0 5.915687-4 1.251733+1 6.000876-4 2.418244+1 6.035100-4 2.781692+1 6.092242-4 3.177203+1 6.163952-4 3.445343+1 6.287174-4 3.646810+1 6.434688-4 3.642222+1 6.915938-4 3.194311+1 7.786958-4 2.776325+1 8.041397-4 2.709618+1 8.231892-4 2.920723+1 8.611513-4 2.863530+1 8.856574-4 2.892179+1 9.668024-4 2.658519+1 9.947122-4 2.675219+1 1.219417-3 2.127035+1 1.443881-3 1.721101+1 1.713115-3 1.371292+1 1.970295-3 1.130261+1 2.241542-3 9.407217+0 2.585235-3 7.640092+0 2.969685-3 6.214266+0 3.377221-3 5.110623+0 3.872298-3 4.136385+0 4.243250-3 3.612223+0 4.267523-3 3.729404+0 4.282779-3 3.976290+0 4.296739-3 4.407375+0 4.309861-3 5.033376+0 4.325621-3 6.049950+0 4.363288-3 8.739686+0 4.384045-3 9.705874+0 4.408207-3 1.021524+1 4.461904-3 1.027389+1 4.549916-3 1.012667+1 4.586446-3 1.062153+1 4.655698-3 1.258084+1 4.692849-3 1.292337+1 4.843229-3 1.255106+1 4.960918-3 1.360930+1 5.980242-3 1.033047+1 6.845448-3 8.327462+0 7.835424-3 6.697274+0 9.015711-3 5.317225+0 1.017162-2 4.342535+0 1.158628-2 3.479951+0 1.304809-2 2.837448+0 1.442864-2 2.381764+0 1.610400-2 1.964977+0 1.814471-2 1.591526+0 2.037335-2 1.294954+0 2.274564-2 1.062546+0 2.532922-2 8.749062-1 2.866397-2 6.988951-1 3.103531-2 6.093920-1 3.119582-2 6.338195-1 3.130034-2 6.875935-1 3.137698-2 7.637889-1 3.144787-2 8.736846-1 3.153189-2 1.063451+0 3.163026-2 1.371836+0 3.182823-2 2.175459+0 3.198318-2 2.767268+0 3.213633-2 3.154227+0 3.226636-2 3.318331+0 3.250595-2 3.388342+0 3.824531-2 2.616314+0 4.341355-2 2.124168+0 4.937222-2 1.706666+0 5.552641-2 1.392003+0 6.280132-2 1.121809+0 7.063824-2 9.093129-1 8.008184-2 7.250768-1 8.930976-2 5.940702-1 9.979330-2 4.845386-1 1.112218-1 3.961750-1 1.225960-1 3.304957-1 1.353474-1 2.749902-1 1.502790-1 2.261217-1 1.667967-1 1.861820-1 1.868546-1 1.506647-1 2.071613-1 1.244268-1 2.314204-1 1.015771-1 2.549889-1 8.512483-2 2.843479-1 7.005215-2 3.179372-1 5.760382-2 3.525231-1 4.826638-2 3.897281-1 4.080661-2 4.368300-1 3.393482-2 4.905253-1 2.834850-2 5.495409-1 2.396254-2 6.102240-1 2.066613-2 6.840786-1 1.773912-2 7.807285-1 1.503849-2 8.951071-1 1.282697-2 1.070165+0 1.060657-2 1.286622+0 8.679232-3 1.546860+0 7.102111-3 1.859734+0 5.811572-3 2.235892+0 4.755540-3 2.688134+0 3.891401-3 3.231848+0 3.184287-3 3.885536+0 2.605664-3 4.671441+0 2.132183-3 5.616308+0 1.744740-3 6.752287+0 1.427700-3 8.118035+0 1.168270-3 9.760024+0 9.559809-4 1.000000+1 1.947878-3 1 52000 7 0 1.276000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-5.197124+1 3.060226-6-5.163297+1 4.769463-6-4.982234+1 5.064080-6-4.757079+1 5.146373-6-4.493078+1 5.219871-6-3.892532+1 5.241685-6-3.977242+1 5.258740-6-4.292036+1 5.286361-6-5.147263+1 5.291471-6-5.305975+1 5.316441-6-4.633938+1 5.337270-6-4.411605+1 5.366224-6-4.528016+1 5.436346-6-5.107795+1 5.479938-6-5.253352+1 6.061055-6-4.681620+1 6.147195-6-4.413092+1 6.187862-6-4.593737+1 6.251318-6-5.158641+1 6.298440-6-5.158251+1 6.515262-6-4.203258+1 6.556096-6-3.850649+1 6.618875-6-2.805155+1 6.640607-6-2.465412+1 6.655366-6-2.358021+1 6.666945-6-2.412484+1 6.681596-6-2.646828+1 6.693271-6-2.984247+1 6.713737-6-3.922933+1 6.738291-6-5.417032+1 6.754047-6-4.513286+1 6.770627-6-3.765145+1 6.784804-6-3.391681+1 6.802045-6-3.186505+1 6.813192-6-3.204730+1 6.831769-6-3.429390+1 6.862468-6-3.973741+1 6.909304-6-4.626281+1 7.048329-6-5.199273+1 7.103339-6-5.477439+1 7.235265-6-4.840800+1 7.332372-6-4.037695+1 7.362234-6-4.062741+1 7.388358-6-4.345967+1 7.453786-6-5.545465+1 7.485206-6-5.370689+1 7.511631-6-5.507297+1 7.521433-6-5.524314+1 7.576164-6-4.833277+1 7.608430-6-4.739486+1 7.639500-6-5.040306+1 7.670199-6-5.610641+1 7.711153-6-4.866061+1 7.747794-6-4.489995+1 7.784365-6-4.429150+1 7.835456-6-4.696623+1 7.893320-6-5.015942+1 8.160573-6-5.517224+1 8.270326-6-5.761752+1 8.324849-6-5.507647+1 8.398982-6-4.944809+1 8.450520-6-4.898151+1 8.590872-6-5.454652+1 8.671307-6-5.375779+1 8.758454-6-5.294371+1 8.994954-6-5.643799+1 9.011804-6-5.654368+1 9.116457-6-5.298811+1 9.164561-6-5.497810+1 9.186859-6-5.770186+1 9.221566-6-5.238011+1 9.273780-6-4.337979+1 9.309030-6-3.998641+1 9.339648-6-3.931257+1 9.387029-6-4.118070+1 9.494702-6-4.649459+1 9.814676-6-5.313087+1 9.903156-6-4.801940+1 1.002078-5-3.575483+1 1.004893-5-3.477150+1 1.007259-5-3.600248+1 1.009870-5-4.016678+1 1.013222-5-4.965219+1 1.013863-5-5.210413+1 1.019206-5-3.265267+1 1.021599-5-2.588367+1 1.023939-5-2.160699+1 1.025541-5-2.009685+1 1.027638-5-1.953901+1 1.030116-5-2.065994+1 1.035301-5-2.576879+1 1.040182-5-3.037341+1 1.043818-5-3.327511+1 1.052792-5-3.653242+1 1.070920-5-3.928890+1 1.118845-5-4.148923+1 1.350000-5-4.260948+1 1.640250-5-4.319380+1 3.467599-5-4.878435+1 3.870820-5-5.206443+1 3.935480-5-5.265078+1 3.986490-5-5.031926+1 4.039543-5-4.645258+1 4.060930-5-4.787399+1 4.087173-5-5.377965+1 4.115592-5-4.812338+1 4.161425-5-4.330200+1 4.179517-5-4.280261+1 4.270708-5-4.681650+1 4.441473-5-5.081726+1 4.691809-5-5.452525+1 4.764541-5-5.449143+1 4.851638-5-5.547743+1 4.981987-5-5.655318+1 5.437471-5-6.424971+1 6.004869-5-7.732794+1 6.206443-5-7.681454+1 6.367500-5-7.134472+1 6.580000-5-5.847597+1 6.835884-5-4.175131+1 6.987871-5-3.392257+1 7.142044-5-2.787868+1 7.272370-5-2.409486+1 7.465315-5-2.015206+1 7.680000-5-1.748222+1 7.855816-5-1.619040+1 8.127628-5-1.529527+1 8.461814-5-1.537447+1 9.004844-5-1.692313+1 1.099078-4-2.468650+1 1.173511-4-2.751574+1 1.203372-4-2.756168+1 1.284541-4-2.915707+1 1.649476-4-3.316547+1 1.680184-4-3.247002+1 1.741443-4-3.326391+1 2.454709-4-3.411156+1 3.734997-4-3.420669+1 4.531584-4-3.584267+1 5.143929-4-3.923875+1 5.484311-4-4.330315+1 5.669117-4-4.759849+1 5.796223-4-5.295990+1 5.925999-4-6.331692+1 5.978000-4-6.407949+1 6.079478-4-5.797706+1 6.259924-4-4.699311+1 6.434688-4-3.915204+1 6.587946-4-3.473058+1 6.819460-4-3.082852+1 7.147316-4-2.776246+1 7.656833-4-2.482471+1 7.948000-4-2.436426+1 8.139138-4-2.517727+1 8.400579-4-2.227992+1 8.706791-4-2.099261+1 8.951071-4-1.894258+1 9.398438-4-1.665031+1 9.740765-4-1.566274+1 9.947122-4-1.530234+1 1.022363-3-1.378967+1 1.079831-3-1.188301+1 1.167709-3-9.874296+0 1.253223-3-8.494881+0 1.347508-3-7.384220+0 1.494150-3-6.249689+0 1.645318-3-5.546951+0 1.811891-3-5.106033+0 2.056297-3-4.832376+0 2.348945-3-4.855826+0 2.697837-3-5.161141+0 3.118625-3-5.818327+0 3.501344-3-6.744989+0 3.797555-3-7.849452+0 4.004437-3-9.076875+0 4.125083-3-1.021719+1 4.210103-3-1.152984+1 4.261634-3-1.299257+1 4.325621-3-1.574470+1 4.352242-3-1.581864+1 4.428432-3-1.300740+1 4.479474-3-1.205836+1 4.534240-3-1.186380+1 4.608352-3-1.241979+1 4.642548-3-1.194871+1 4.712158-3-1.012470+1 4.776615-3-9.171883+0 4.843229-3-8.794021+0 4.911670-3-8.656781+0 4.960918-3-7.933392+0 5.025300-3-6.869129+0 5.110961-3-5.950888+0 5.259724-3-4.844033+0 5.422499-3-3.959949+0 5.629273-3-3.126505+0 5.837810-3-2.483760+0 6.087698-3-1.906460+0 6.317523-3-1.498156+0 6.584791-3-1.123405+0 6.845448-3-8.465122-1 7.076991-3-6.518585-1 7.323139-3-4.880687-1 7.508391-3-3.857757-1 7.835424-3-2.389265-1 8.035261-3-1.679281-1 8.317638-3-9.025526-2 8.511380-3-4.691519-2 8.615360-3-2.631059-2 8.684603-3-1.478471-2 8.773124-3-1.815242-3 8.812683-3 4.155119-3 8.874114-3 1.289931-2 9.106993-3 3.970150-2 9.252306-3 5.265482-2 9.406705-3 6.278943-2 9.543271-3 6.944686-2 9.768967-3 7.736099-2 1.017162-2 7.906701-2 1.044538-2 7.548615-2 1.084834-2 6.166063-2 1.110221-2 5.062938-2 1.136456-2 3.594357-2 1.158628-2 2.155532-2 1.176590-2 9.643780-3 1.186515-2 2.891613-3 1.189776-2 4.738320-4 1.190741-2-2.332501-4 1.197947-2-5.773509-3 1.205513-2-1.151649-2 1.259825-2-5.555860-2 1.346559-2-1.299481-1 2.274564-2-1.003243+0 2.532922-2-1.293684+0 2.731117-2-1.588628+0 2.866397-2-1.873508+0 2.969056-2-2.194210+0 3.034010-2-2.502770+0 3.080957-2-2.846953+0 3.115391-2-3.279324+0 3.144787-2-3.925018+0 3.167002-2-4.411243+0 3.182823-2-4.492336+0 3.198318-2-4.284308+0 3.238739-2-3.256579+0 3.261551-2-2.845928+0 3.290765-2-2.497576+0 3.337183-2-2.121496+0 3.401064-2-1.766182+0 3.481969-2-1.444850+0 3.565257-2-1.197772+0 3.678513-2-9.521686-1 3.787961-2-7.732695-1 3.941262-2-5.855626-1 4.092554-2-4.435228-1 4.218588-2-3.492606-1 4.341355-2-2.748629-1 4.473657-2-2.094650-1 4.564949-2-1.725592-1 4.676092-2-1.328558-1 4.803552-2-9.392355-2 4.937222-2-6.064543-2 5.061711-2-3.561986-2 5.173211-2-1.735667-2 5.291214-2-8.294056-4 5.319908-2 3.223495-3 5.370318-2 8.366273-3 5.403718-2 1.187900-2 5.552641-2 2.630926-2 5.711598-2 3.845813-2 5.956728-2 5.097303-2 6.114408-2 5.702389-2 6.280132-2 6.127787-2 6.432289-2 6.296452-2 6.737211-2 6.288633-2 7.247067-2 5.608411-2 7.640755-2 4.804655-2 8.008184-2 3.842647-2 8.779660-2 1.460871-2 9.128521-2 3.431725-3 9.168327-2 2.209266-3 9.252306-2-5.761181-4 9.293290-2-1.914514-3 1.053625-1-3.964985-2 1.148154-1-6.622562-2 1.261695-1-9.470339-2 1.451771-1-1.341399-1 1.667967-1-1.691857-1 2.008045-1-2.092025-1 2.475266-1-2.451131-1 3.179372-1-2.770070-1 4.368300-1-3.036598-1 6.840786-1-3.239761-1 1.410753+0-3.351673-1 4.260405+0-3.384627-1 1.000000+1-3.386618-1 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.448440-4 1.026314-6 1.626743-4 1.067537-6 1.900170-4 1.090458-6 2.080309-4 1.185685-6 2.904044-4 1.340989-6 4.845065-4 1.389712-6 5.654670-4 1.516635-6 8.213536-4 1.715287-6 1.413727-3 1.939960-6 2.469525-3 2.048000-6 3.175629-3 2.194060-6 4.304663-3 2.333331-6 5.695254-3 2.481443-6 7.599701-3 2.638957-6 1.023287-2 2.806469-6 1.392447-2 2.984614-6 1.914257-2 3.174067-6 2.667803-2 3.272415-6 3.158256-2 3.367689-6 3.710655-2 3.459987-6 4.336354-2 3.636018-6 5.804670-2 3.801220-6 7.620620-2 3.879969-6 8.669966-2 4.031593-6 1.111206-1 4.101757-6 1.245153-1 4.171115-6 1.394489-1 4.305495-6 1.733332-1 4.431477-6 2.129287-1 4.549585-6 2.587338-1 4.660311-6 3.112783-1 4.764117-6 3.713361-1 4.861434-6 4.394847-1 4.952670-6 5.162384-1 5.042515-6 6.069707-1 5.118391-6 6.980769-1 5.200093-6 8.143674-1 5.264043-6 9.212422-1 5.330116-6 1.050217+0 5.392059-6 1.191747+0 5.450130-6 1.346804+0 5.516269-6 1.554832+0 5.555611-6 1.697729+0 5.607399-6 1.913055+0 5.648320-6 2.109200+0 5.690375-6 2.339806+0 5.729801-6 2.588110+0 5.766764-6 2.854909+0 5.801416-6 3.141076+0 5.833903-6 3.447553+0 5.864359-6 3.775374+0 5.892912-6 4.125503+0 5.919680-6 4.498734+0 5.954436-6 5.063026+0 5.968302-6 5.318385+0 5.990358-6 5.767465+0 6.011036-6 6.244524+0 6.030421-6 6.750654+0 6.048595-6 7.286807+0 6.082671-6 8.496004+0 6.112487-6 9.850432+0 6.138576-6 1.136803+1 6.161405-6 1.307421+1 6.181379-6 1.500164+1 6.198857-6 1.718390+1 6.214150-6 1.964351+1 6.227531-6 2.238049+1 6.241426-6 2.599851+1 6.249485-6 2.855332+1 6.258450-6 3.187049+1 6.266294-6 3.524598+1 6.273157-6 3.860931+1 6.279163-6 4.189860+1 6.289673-6 4.851456+1 6.325821-6 8.111326+1 6.336760-6 9.425236+1 6.344540-6 1.044905+2 6.352319-6 1.154054+2 6.367878-6 1.388686+2 6.369823-6 1.419142+2 6.383437-6 1.635341+2 6.388785-6 1.720169+2 6.398996-6 1.878161+2 6.404344-6 1.957296+2 6.409449-6 2.029491+2 6.414555-6 2.097657+2 6.421362-6 2.180998+2 6.427926-6 2.251736+2 6.434003-6 2.307549+2 6.439108-6 2.346462+2 6.445672-6 2.384898+2 6.454424-6 2.414410+2 6.461717-6 2.419056+2 6.464426-6 2.416059+2 6.472153-6 2.393410+2 6.478874-6 2.356976+2 6.484415-6 2.315627+2 6.491553-6 2.248121+2 6.498611-6 2.166862+2 6.506165-6 2.065761+2 6.512648-6 1.969033+2 6.517381-6 1.893576+2 6.523467-6 1.791718+2 6.530091-6 1.676172+2 6.537350-6 1.546064+2 6.542915-6 1.445242+2 6.548020-6 1.352857+2 6.554584-6 1.235400+2 6.562364-6 1.099856+2 6.569171-6 9.859737+1 6.571115-6 9.544128+1 6.578409-6 8.404580+1 6.584790-6 7.469794+1 6.585702-6 7.341312+1 6.601261-6 5.354993+1 6.607247-6 4.697149+1 6.612033-6 4.213688+1 6.616820-6 3.767294+1 6.623627-6 3.194355+1 6.631558-6 2.614075+1 6.637809-6 2.218595+1 6.644980-6 1.826695+1 6.652068-6 1.498442+1 6.656747-6 1.310928+1 6.666014-6 1.000307+1 6.688555-6 5.112306+0 6.697327-6 3.959849+0 6.701662-6 3.503289+0 6.705962-6 3.112667+0 6.712347-6 2.631215+0 6.718648-6 2.252159+0 6.726935-6 1.868136+0 6.732554-6 1.665497+0 6.744114-6 1.353585+0 6.752021-6 1.197019+0 6.759805-6 1.072126+0 6.767468-6 9.682953-1 6.782496-6 7.976654-1 6.789834-6 7.241782-1 6.797058-6 6.563018-1 6.804169-6 5.934412-1 6.811169-6 5.354753-1 6.838300-6 3.549308-1 6.851233-6 2.990103-1 6.863762-6 2.661469-1 6.888037-6 2.643825-1 6.910794-6 3.349523-1 6.972133-6 8.276209-1 7.069767-6 2.339934+0 7.112145-6 3.290583+0 7.147148-6 4.257010+0 7.173400-6 5.112765+0 7.212779-6 6.656152+0 7.270008-6 9.676611+0 7.287858-6 1.089330+1 7.305708-6 1.229650+1 7.323558-6 1.393580+1 7.341409-6 1.587551+1 7.359259-6 1.819524+1 7.372647-6 2.023953+1 7.392728-6 2.389307+1 7.421735-6 3.063399+1 7.448691-6 3.857322+1 7.455852-6 4.093496+1 7.469607-6 4.571056+1 7.483362-6 5.070581+1 7.487947-6 5.239487+1 7.506288-6 5.909179+1 7.524628-6 6.531197+1 7.529213-6 6.672783+1 7.542968-6 7.050004+1 7.546846-6 7.141248+1 7.553633-6 7.282531+1 7.558723-6 7.371982+1 7.566358-6 7.477633+1 7.573993-6 7.547087+1 7.579992-6 7.575253+1 7.584491-6 7.580862+1 7.594615-6 7.544906+1 7.597989-6 7.518229+1 7.607159-6 7.410354+1 7.616330-6 7.254695+1 7.630658-6 6.932894+1 7.636963-6 6.768867+1 7.671351-6 5.844779+1 7.680664-6 5.653634+1 7.685178-6 5.581191+1 7.691984-6 5.503203+1 7.695996-6 5.477550+1 7.699004-6 5.469413+1 7.703518-6 5.476696+1 7.708031-6 5.509458+1 7.712616-6 5.571279+1 7.716055-6 5.638035+1 7.721214-6 5.773531+1 7.726372-6 5.954758+1 7.735542-6 6.401606+1 7.740127-6 6.690460+1 7.744712-6 7.026626+1 7.753882-6 7.852250+1 7.758467-6 8.347502+1 7.763052-6 8.901652+1 7.776808-6 1.094769+2 7.790563-6 1.363349+2 7.814635-6 2.011810+2 7.830184-6 2.566757+2 7.841777-6 3.055558+2 7.851668-6 3.524503+2 7.860390-6 3.977370+2 7.867249-6 4.358713+2 7.876896-6 4.930550+2 7.896189-6 6.182350+2 7.898601-6 6.347104+2 7.915482-6 7.532661+2 7.922114-6 8.006203+2 7.936453-6 9.020223+2 7.942754-6 9.452823+2 7.948470-6 9.833780+2 7.957849-6 1.042696+3 7.965029-6 1.084730+3 7.970893-6 1.116434+3 7.978589-6 1.153925+3 7.987556-6 1.190931+3 7.989951-6 1.199485+3 7.999574-6 1.227798+3 8.006727-6 1.242198+3 8.013718-6 1.250528+3 8.023574-6 1.252368+3 8.032279-6 1.244290+3 8.051572-6 1.195043+3 8.057542-6 1.171654+3 8.070730-6 1.108088+3 8.079144-6 1.060115+3 8.087692-6 1.006573+3 8.094882-6 9.585371+2 8.102575-6 9.048510+2 8.111213-6 8.426663+2 8.118428-6 7.899116+2 8.127705-6 7.219658+2 8.138557-6 6.436818+2 8.146998-6 5.846279+2 8.149410-6 5.681490+2 8.162071-6 4.851445+2 8.167497-6 4.516085+2 8.185584-6 3.498893+2 8.192358-6 3.160075+2 8.198824-6 2.858533+2 8.205290-6 2.578235+2 8.213550-6 2.250491+2 8.224170-6 1.877243+2 8.235234-6 1.542510+2 8.244712-6 1.296139+2 8.254568-6 1.075861+2 8.264423-6 8.884773+1 8.284134-6 5.977272+1 8.303846-6 3.964470+1 8.323557-6 2.613259+1 8.343268-6 1.737604+1 8.348196-6 1.575538+1 8.362979-6 1.196385+1 8.365443-6 1.146816+1 8.369755-6 1.068279+1 8.376222-6 9.686191+0 8.382690-6 8.887538+0 8.392546-6 8.010266+0 8.399937-6 7.596256+0 8.402401-6 7.501863+0 8.405533-6 7.412453+0 8.412962-6 7.335177+0 8.417510-6 7.380970+0 8.423486-6 7.550043+0 8.434378-6 8.190775+0 8.441971-6 8.911854+0 8.453360-6 1.047180+1 8.459055-6 1.149341+1 8.464749-6 1.269495+1 8.470324-6 1.406059+1 8.475899-6 1.562936+1 8.481089-6 1.728681+1 8.509791-6 3.050580+1 8.521227-6 3.801119+1 8.527739-6 4.292953+1 8.547276-6 6.065724+1 8.556411-6 7.050779+1 8.577369-6 9.671999+1 8.579988-6 1.003227+2 8.598326-6 1.271930+2 8.607135-6 1.408889+2 8.621220-6 1.632925+2 8.626470-6 1.716578+2 8.632461-6 1.811212+2 8.636955-6 1.881165+2 8.643695-6 1.983663+2 8.650435-6 2.082237+2 8.658185-6 2.189243+2 8.664514-6 2.270476+2 8.672820-6 2.367093+2 8.681498-6 2.454010+2 8.684798-6 2.482902+2 8.694529-6 2.553550+2 8.703348-6 2.597527+2 8.708523-6 2.613988+2 8.718834-6 2.625560+2 8.725984-6 2.616849+2 8.746111-6 2.520936+2 8.753593-6 2.460337+2 8.755643-6 2.441591+2 8.770777-6 2.278179+2 8.778653-6 2.178332+2 8.786882-6 2.065889+2 8.794858-6 1.951139+2 8.803173-6 1.827826+2 8.812311-6 1.690832+2 8.821730-6 1.551271+2 8.832044-6 1.404163+2 8.851124-6 1.160323+2 8.863404-6 1.030614+2 8.871343-6 9.605699+1 8.889058-6 8.483257+1 8.894859-6 8.257027+1 8.898855-6 8.143432+1 8.901099-6 8.094946+1 8.904501-6 8.042634+1 8.912265-6 8.019728+1 8.916147-6 8.059005+1 8.920880-6 8.152907+1 8.927262-6 8.359764+1 8.932846-6 8.616361+1 8.938156-6 8.925632+1 8.945371-6 9.447246+1 8.965294-6 1.148337+2 8.975057-6 1.279046+2 9.001896-6 1.735389+2 9.012981-6 1.961338+2 9.022723-6 2.175476+2 9.031562-6 2.380727+2 9.039296-6 2.567598+2 9.046100-6 2.736620+2 9.057166-6 3.018354+2 9.066234-6 3.252912+2 9.073034-6 3.429364+2 9.078134-6 3.561225+2 9.089610-6 3.853545+2 9.093435-6 3.948845+2 9.106411-6 4.259917+2 9.115534-6 4.463752+2 9.125372-6 4.665720+2 9.134107-6 4.826656+2 9.144746-6 4.995714+2 9.157477-6 5.154241+2 9.168638-6 5.250260+2 9.181098-6 5.307206+2 9.192168-6 5.312331+2 9.202887-6 5.276884+2 9.214088-6 5.198960+2 9.221030-6 5.130874+2 9.236368-6 4.931840+2 9.247744-6 4.746584+2 9.254400-6 4.625778+2 9.266378-6 4.389735+2 9.277583-6 4.152495+2 9.288430-6 3.913129+2 9.301528-6 3.618387+2 9.319025-6 3.227506+2 9.330365-6 2.982562+2 9.349365-6 2.597068+2 9.396727-6 1.819594+2 9.412758-6 1.619896+2 9.429383-6 1.444120+2 9.448421-6 1.277842+2 9.462588-6 1.175326+2 9.474783-6 1.099726+2 9.484223-6 1.048391+2 9.494607-6 9.984935+1 9.505280-6 9.537889+1 9.510847-6 9.329416+1 9.525220-6 8.864531+1 9.541886-6 8.450570+1 9.549817-6 8.299092+1 9.557565-6 8.179247+1 9.563786-6 8.103269+1 9.571124-6 8.037136+1 9.581293-6 7.988447+1 9.589129-6 7.985980+1 9.598708-6 8.025944+1 9.611800-6 8.160378+1 9.619635-6 8.286825+1 9.625511-6 8.405056+1 9.634325-6 8.620973+1 9.643140-6 8.884200+1 9.654376-6 9.289670+1 9.662141-6 9.616036+1 9.673117-6 1.014150+2 9.687587-6 1.094606+2 9.713237-6 1.265684+2 9.741796-6 1.488473+2 9.754459-6 1.593088+2 9.768473-6 1.709182+2 9.778874-6 1.793592+2 9.787641-6 1.862357+2 9.795551-6 1.921744+2 9.806768-6 2.000353+2 9.818573-6 2.074275+2 9.831768-6 2.144035+2 9.836727-6 2.166325+2 9.850148-6 2.214957+2 9.862467-6 2.243810+2 9.872203-6 2.255670+2 9.883424-6 2.257505+2 9.900000-6 2.238389+2 9.914813-6 2.202021+2 9.934818-6 2.131287+2 9.981645-6 1.938639+2 9.996889-6 1.891208+2 1.000553-5 1.871864+2 1.001414-5 1.859164+2 1.002701-5 1.854140+2 1.003623-5 1.861801+2 1.004546-5 1.879457+2 1.006060-5 1.930742+2 1.007331-5 1.995010+2 1.008792-5 2.091486+2 1.009483-5 2.144828+2 1.011238-5 2.298937+2 1.014758-5 2.658845+2 1.016332-5 2.824102+2 1.017640-5 2.955451+2 1.018709-5 3.055325+2 1.020234-5 3.181896+2 1.021433-5 3.265147+2 1.022830-5 3.341062+2 1.024141-5 3.389738+2 1.025923-5 3.419187+2 1.026228-5 3.419963+2 1.028363-5 3.391629+2 1.029550-5 3.351853+2 1.030870-5 3.289724+2 1.031719-5 3.241004+2 1.033106-5 3.148941+2 1.034836-5 3.017251+2 1.036964-5 2.839259+2 1.039831-5 2.591875+2 1.043489-5 2.297849+2 1.046131-5 2.117060+2 1.049870-5 1.916204+2 1.051938-5 1.832007+2 1.053892-5 1.767965+2 1.055210-5 1.732173+2 1.057320-5 1.685257+2 1.059366-5 1.649636+2 1.061808-5 1.616513+2 1.065822-5 1.575825+2 1.078338-5 1.475606+2 1.092047-5 1.360317+2 1.094714-5 1.342622+2 1.097621-5 1.329170+2 1.100000-5 1.325523+2 1.101754-5 1.329201+2 1.103364-5 1.339096+2 1.104934-5 1.356533+2 1.106012-5 1.373991+2 1.106956-5 1.393591+2 1.107837-5 1.416022+2 1.109136-5 1.457415+2 1.110242-5 1.501510+2 1.111072-5 1.540584+2 1.112161-5 1.600495+2 1.113487-5 1.688042+2 1.114543-5 1.770302+2 1.115807-5 1.884708+2 1.116987-5 2.008205+2 1.118637-5 2.209589+2 1.119995-5 2.401241+2 1.125925-5 3.502008+2 1.127828-5 3.927110+2 1.129537-5 4.323700+2 1.131026-5 4.671702+2 1.132509-5 5.012483+2 1.133914-5 5.322260+2 1.135405-5 5.628687+2 1.136851-5 5.896586+2 1.138272-5 6.124828+2 1.138826-5 6.203170+2 1.140166-5 6.365618+2 1.141222-5 6.464955+2 1.143882-5 6.596321+2 1.144765-5 6.601542+2 1.146452-5 6.559432+2 1.147394-5 6.507334+2 1.148293-5 6.439639+2 1.149878-5 6.281095+2 1.151163-5 6.119893+2 1.152619-5 5.907604+2 1.154161-5 5.655649+2 1.156045-5 5.321279+2 1.158101-5 4.939117+2 1.160156-5 4.555160+2 1.167008-5 3.419942+2 1.169506-5 3.096864+2 1.171754-5 2.852193+2 1.172875-5 2.745929+2 1.173994-5 2.649702+2 1.176227-5 2.484712+2 1.178452-5 2.352051+2 1.180667-5 2.246171+2 1.182875-5 2.161851+2 1.185073-5 2.094483+2 1.187263-5 2.040201+2 1.191626-5 1.958997+2 1.196735-5 1.892393+2 1.200597-5 1.853998+2 1.205730-5 1.812733+2 1.212933-5 1.766982+2 1.221365-5 1.725022+2 1.232212-5 1.682328+2 1.247065-5 1.635569+2 1.261787-5 1.598003+2 1.294479-5 1.530704+2 1.357330-5 1.425802+2 1.497414-5 1.236417+2 1.670219-5 1.047179+2 1.775760-5 9.486577+1 1.814431-5 9.124584+1 1.843992-5 8.813707+1 1.857609-5 8.711663+1 1.867823-5 8.700206+1 1.880302-5 8.769921+1 1.893919-5 8.871277+1 1.902593-5 8.890972+1 1.912074-5 8.848828+1 1.921151-5 8.756304+1 1.953430-5 8.346440+1 1.967122-5 8.222410+1 1.990792-5 8.088637+1 2.021123-5 7.940327+1 2.303957-5 6.454537+1 2.491722-5 5.670570+1 2.660725-5 5.057764+1 2.790000-5 4.629544+1 2.917688-5 4.234425+1 2.999073-5 3.994131+1 3.116972-5 3.659417+1 3.198895-5 3.431144+1 3.291287-5 3.182282+1 3.388442-5 2.924512+1 3.476274-5 2.695903+1 3.543303-5 2.525426+1 3.617208-5 2.339627+1 3.730000-5 2.062441+1 3.830414-5 1.816631+1 3.937750-5 1.557152+1 4.030000-5 1.337393+1 4.122749-5 1.120056+1 4.201378-5 9.392692+0 4.284841-5 7.502052+0 4.317685-5 6.777808+0 4.375326-5 5.532296+0 4.419794-5 4.584765+0 4.445698-5 4.045142+0 4.468365-5 3.584475+0 4.488198-5 3.191015+0 4.505552-5 2.854114+0 4.535922-5 2.281830+0 4.558700-5 1.870429+0 4.575783-5 1.576008+0 4.588595-5 1.365921+0 4.607813-5 1.073981+0 4.617422-5 9.415308-1 4.627031-5 8.206051-1 4.638420-5 6.955835-1 4.649809-5 5.951769-1 4.661198-5 5.254899-1 4.666892-5 5.044367-1 4.672587-5 4.940145-1 4.678281-5 4.955148-1 4.683976-5 5.104860-1 4.689670-5 5.408413-1 4.695365-5 5.890010-1 4.701059-5 6.580691-1 4.703906-5 7.016508-1 4.706753-5 7.520385-1 4.709601-5 8.099069-1 4.713871-5 9.124180-1 4.718142-5 1.036431+0 4.720990-5 1.132728+0 4.724726-5 1.277863+0 4.729531-5 1.500084+0 4.735907-5 1.868029+0 4.755156-5 3.670830+0 4.762346-5 4.695922+0 4.766036-5 5.312348+0 4.770561-5 6.158559+0 4.776152-5 7.348240+0 4.777240-5 7.598723+0 4.787427-5 1.025098+1 4.791187-5 1.136815+1 4.796571-5 1.309092+1 4.801658-5 1.484212+1 4.806892-5 1.675311+1 4.810761-5 1.822549+1 4.814740-5 1.978094+1 4.819106-5 2.152179+1 4.823813-5 2.342000+1 4.828664-5 2.537572+1 4.833366-5 2.724625+1 4.839200-5 2.949640+1 4.844341-5 3.138168+1 4.846921-5 3.228375+1 4.852048-5 3.397129+1 4.857328-5 3.554318+1 4.859878-5 3.623500+1 4.864122-5 3.728215+1 4.869438-5 3.839839+1 4.873080-5 3.903230+1 4.878296-5 3.974911+1 4.884474-5 4.030420+1 4.886621-5 4.042273+1 4.901656-5 4.021890+1 4.905908-5 3.985370+1 4.910761-5 3.928737+1 4.915200-5 3.863983+1 4.925320-5 3.675599+1 4.928016-5 3.617068+1 4.933070-5 3.499295+1 4.937492-5 3.388710+1 4.941362-5 3.287063+1 4.948538-5 3.088973+1 4.953213-5 2.954952+1 4.957022-5 2.843806+1 4.962736-5 2.675232+1 4.970910-5 2.433665+1 4.973370-5 2.361553+1 4.984479-5 2.043918+1 4.996311-5 1.728142+1 5.008143-5 1.443928+1 5.019975-5 1.195845+1 5.031806-5 9.847674+0 5.065330-5 5.625544+0 5.077440-5 4.591743+0 5.089550-5 3.739727+0 5.101660-5 3.031053+0 5.113770-5 2.437477+0 5.125880-5 1.939687+0 5.137990-5 1.524997+0 5.150100-5 1.184896+0 5.175331-5 6.891886-1 5.187632-5 5.403352-1 5.210697-5 4.015575-1 5.218532-5 3.914731-1 5.230879-5 4.096957-1 5.266197-5 6.687056-1 5.286695-5 9.486649-1 5.319174-5 1.582850+0 5.357616-5 2.659095+0 5.385374-5 3.703697+0 5.405982-5 4.666530+0 5.416452-5 5.229259+0 5.438266-5 6.584559+0 5.451489-5 7.535454+0 5.465718-5 8.668111+0 5.475885-5 9.541003+0 5.497391-5 1.151731+1 5.510856-5 1.279528+1 5.524321-5 1.405240+1 5.527687-5 1.435788+1 5.540489-5 1.546883+1 5.545220-5 1.585454+1 5.552317-5 1.640381+1 5.562545-5 1.712930+1 5.568185-5 1.749566+1 5.579463-5 1.816128+1 5.593188-5 1.887644+1 5.625523-5 2.049385+1 5.633211-5 2.094238+1 5.642414-5 2.154345+1 5.652865-5 2.232495+1 5.659830-5 2.290808+1 5.675311-5 2.437695+1 5.711423-5 2.841811+1 5.722926-5 2.974420+1 5.739456-5 3.156982+1 5.753029-5 3.296699+1 5.773721-5 3.493578+1 5.812565-5 3.863427+1 5.823470-5 3.983364+1 5.839120-5 4.177542+1 5.850253-5 4.333666+1 5.868056-5 4.615733+1 5.887301-5 4.963198+1 6.062909-5 9.772957+1 6.240000-5 1.919550+2 6.356558-5 2.980614+2 6.481395-5 4.770321+2 6.659948-5 9.260023+2 6.730000-5 1.190215+3 6.782856-5 1.428316+3 6.807463-5 1.550574+3 6.839978-5 1.722678+3 6.872481-5 1.905709+3 6.912477-5 2.143655+3 6.937477-5 2.297840+3 6.962478-5 2.454686+3 6.985000-5 2.596977+3 7.006250-5 2.730905+3 7.022488-5 2.832323+3 7.044983-5 2.970474+3 7.070000-5 3.119457+3 7.090967-5 3.239311+3 7.108584-5 3.335707+3 7.135009-5 3.471619+3 7.148221-5 3.535175+3 7.175000-5 3.653903+3 7.205000-5 3.769310+3 7.235000-5 3.864522+3 7.268063-5 3.944869+3 7.303750-5 4.002233+3 7.343467-5 4.031058+3 7.380126-5 4.027014+3 7.415233-5 3.998422+3 7.456563-5 3.938279+3 7.501845-5 3.846109+3 7.548548-5 3.730075+3 7.599301-5 3.588331+3 7.681720-5 3.342920+3 7.842721-5 2.880495+3 7.968386-5 2.570500+3 8.092427-5 2.314166+3 8.199546-5 2.128754+3 8.318666-5 1.954975+3 8.450000-5 1.793857+3 8.574534-5 1.664171+3 8.719952-5 1.534401+3 8.883750-5 1.409921+3 9.075633-5 1.285955+3 9.332543-5 1.148118+3 9.666455-5 1.003305+3 1.001174-4 8.832974+2 1.035142-4 7.872846+2 1.073150-4 6.994897+2 1.109175-4 6.309638+2 1.157258-4 5.562455+2 1.234280-4 4.623947+2 1.248113-4 4.472537+2 1.260965-4 4.328365+2 1.279136-4 4.104449+2 1.288625-4 3.990815+2 1.295418-4 3.930038+2 1.301785-4 3.897804+2 1.308026-4 3.887886+2 1.323168-4 3.886266+2 1.332872-4 3.857932+2 1.346465-4 3.788012+2 1.372630-4 3.633847+2 1.404878-4 3.440611+2 1.444315-4 3.281063+2 1.458700-4 3.227541+2 1.531087-4 3.060903+2 1.648496-4 2.814598+2 1.699411-4 2.726600+2 1.773458-4 2.619705+2 1.808123-4 2.585457+2 1.835389-4 2.539098+2 1.897277-4 2.439482+2 1.908365-4 2.428046+2 1.919689-4 2.422352+2 1.983193-4 2.432015+2 2.141360-4 2.429063+2 2.246548-4 2.434559+2 2.409514-4 2.456869+2 2.603937-4 2.496640+2 3.123326-4 2.607999+2 3.280500-4 2.629648+2 3.433281-4 2.641932+2 3.657508-4 2.642563+2 3.960304-4 2.603231+2 4.214595-4 2.530978+2 4.441354-4 2.431619+2 4.629221-4 2.324905+2 4.800097-4 2.204969+2 4.964821-4 2.067661+2 5.077441-4 1.959388+2 5.208292-4 1.817180+2 5.322124-4 1.678599+2 5.394810-4 1.582705+2 5.476329-4 1.466888+2 5.561540-4 1.336113+2 5.636100-4 1.213280+2 5.706666-4 1.089471+2 5.758424-4 9.938284+1 5.797352-4 9.193648+1 5.852078-4 8.115543+1 5.897228-4 7.201706+1 5.933265-4 6.460658+1 5.960293-4 5.902422+1 6.004300-4 5.002451+1 6.044553-4 4.214154+1 6.098055-4 3.304857+1 6.114481-4 3.085920+1 6.126620-4 2.952871+1 6.139387-4 2.846904+1 6.149627-4 2.793388+1 6.158267-4 2.775037+1 6.165522-4 2.782174+1 6.171440-4 2.805637+1 6.176960-4 2.843715+1 6.181677-4 2.890046+1 6.185635-4 2.939699+1 6.191483-4 3.032831+1 6.197259-4 3.150437+1 6.201710-4 3.260269+1 6.205831-4 3.378260+1 6.211173-4 3.556497+1 6.214939-4 3.700726+1 6.218532-4 3.853700+1 6.222664-4 4.049417+1 6.227403-4 4.301711+1 6.232808-4 4.628507+1 6.238829-4 5.045661+1 6.244578-4 5.500551+1 6.251104-4 6.089425+1 6.257867-4 6.787529+1 6.273287-4 8.750034+1 6.293740-4 1.225253+2 6.305371-4 1.474805+2 6.310393-4 1.594323+2 6.317625-4 1.779087+2 6.322682-4 1.917116+2 6.329152-4 2.104126+2 6.335428-4 2.296522+2 6.340261-4 2.451828+2 6.348021-4 2.713545+2 6.357000-4 3.034158+2 6.366071-4 3.375304+2 6.373194-4 3.653689+2 6.382644-4 4.034604+2 6.393415-4 4.480659+2 6.400555-4 4.780690+2 6.406700-4 5.040180+2 6.414627-4 5.374893+2 6.420980-4 5.641707+2 6.430551-4 6.038667+2 6.440545-4 6.443518+2 6.452487-4 6.909612+2 6.460232-4 7.199513+2 6.472018-4 7.619284+2 6.480569-4 7.906493+2 6.490512-4 8.221214+2 6.505000-4 8.642247+2 6.518416-4 8.993004+2 6.540349-4 9.490314+2 6.550659-4 9.694173+2 6.569011-4 1.001499+3 6.593483-4 1.036962+3 6.608141-4 1.054756+3 6.636088-4 1.082606+3 6.666670-4 1.105353+3 6.700474-4 1.122857+3 6.725237-4 1.131540+3 6.769092-4 1.140058+3 6.795902-4 1.141625+3 6.826563-4 1.140481+3 6.883472-4 1.131455+3 7.014031-4 1.096890+3 7.088750-4 1.081739+3 7.170432-4 1.071579+3 7.314372-4 1.062577+3 7.417104-4 1.059302+3 7.627285-4 1.062547+3 7.823352-4 1.067790+3 7.965323-4 1.068522+3 8.153880-4 1.063772+3 8.312578-4 1.053772+3 8.417218-4 1.041809+3 8.549116-4 1.023780+3 8.590962-4 1.023038+3 8.628142-4 1.027493+3 8.663716-4 1.037155+3 8.688086-4 1.046726+3 8.745000-4 1.075688+3 8.824313-4 1.118384+3 8.874445-4 1.139761+3 8.931015-4 1.156989+3 9.007808-4 1.171356+3 9.152151-4 1.187363+3 9.214096-4 1.197504+3 9.262124-4 1.208815+3 9.378826-4 1.243881+3 9.468801-4 1.268461+3 9.573175-4 1.289349+3 9.699921-4 1.307026+3 9.846087-4 1.321718+3 1.001728-3 1.333462+3 1.040158-3 1.349321+3 1.051146-3 1.357729+3 1.062344-3 1.373210+3 1.075346-3 1.395179+3 1.085622-3 1.409336+3 1.100983-3 1.424145+3 1.121208-3 1.437842+3 1.147809-3 1.451720+3 1.172934-3 1.461627+3 1.202502-3 1.468744+3 1.276185-3 1.477325+3 1.356954-3 1.480692+3 1.444400-3 1.477931+3 1.531087-3 1.468927+3 1.679771-3 1.441387+3 1.815252-3 1.413548+3 1.972423-3 1.374314+3 2.166515-3 1.324215+3 2.263696-3 1.299336+3 2.490291-3 1.238786+3 2.606890-3 1.208473+3 2.865785-3 1.139380+3 2.995885-3 1.105085+3 3.135090-3 1.068258+3 3.287570-3 1.028179+3 3.440620-3 9.872322+2 3.589800-3 9.470068+2 3.715352-3 9.119157+2 3.827972-3 8.789679+2 3.926191-3 8.488515+2 4.014696-3 8.200357+2 4.085379-3 7.953556+2 4.150665-3 7.708167+2 4.213222-3 7.452007+2 4.265737-3 7.214278+2 4.311118-3 6.984277+2 4.349619-3 6.762459+2 4.383196-3 6.537445+2 4.410272-3 6.322372+2 4.431396-3 6.126101+2 4.448408-3 5.948179+2 4.477553-3 5.615567+2 4.500109-3 5.370261+2 4.512827-3 5.257333+2 4.523184-3 5.187663+2 4.535170-3 5.138349+2 4.539701-3 5.129414+2 4.548896-3 5.128410+2 4.558621-3 5.152195+2 4.568463-3 5.200706+2 4.580003-3 5.284678+2 4.597751-3 5.454900+2 4.623810-3 5.739260+2 4.637138-3 5.877317+2 4.650097-3 5.997418+2 4.666214-3 6.122358+2 4.682313-3 6.218485+2 4.702772-3 6.301376+2 4.723089-3 6.345371+2 4.744072-3 6.357786+2 4.807087-3 6.307926+2 4.830812-3 6.325364+2 4.851623-3 6.387046+2 4.873219-3 6.499843+2 4.908301-3 6.754281+2 4.941931-3 7.006521+2 4.960996-3 7.127950+2 4.980237-3 7.228168+2 5.005974-3 7.327200+2 5.030847-3 7.389853+2 5.076048-3 7.448427+2 5.117575-3 7.492905+2 5.139992-3 7.537323+2 5.169166-3 7.629451+2 5.249500-3 7.999293+2 5.295676-3 8.178911+2 5.324925-3 8.264735+2 5.368447-3 8.363267+2 5.449340-3 8.492131+2 5.562555-3 8.606474+2 5.680839-3 8.674649+2 5.821032-3 8.709229+2 6.025596-3 8.691561+2 6.291456-3 8.605374+2 6.500000-3 8.503861+2 6.800438-3 8.319314+2 7.277864-3 7.984978+2 7.850238-3 7.554849+2 8.481385-3 7.088410+2 9.310848-3 6.513394+2 1.036983-2 5.855491+2 1.163958-2 5.187087+2 1.304735-2 4.571995+2 1.462166-2 4.007641+2 1.581475-2 3.643131+2 1.705682-2 3.309993+2 1.848986-2 2.972257+2 2.002264-2 2.657845+2 2.162697-2 2.372232+2 2.335786-2 2.105424+2 2.521511-2 1.858180+2 2.691535-2 1.659848+2 2.829467-2 1.513800+2 2.938138-2 1.404873+2 3.021582-2 1.322407+2 3.084789-2 1.258520+2 3.136218-2 1.203395+2 3.173466-2 1.159542+2 3.192151-2 1.135115+2 3.208042-2 1.112212+2 3.221345-2 1.090971+2 3.239148-2 1.058989+2 3.283569-2 9.723117+1 3.295669-2 9.552995+1 3.305624-2 9.465432+1 3.314913-2 9.433578+1 3.323302-2 9.447025+1 3.335513-2 9.531204+1 3.351476-2 9.724851+1 3.384645-2 1.019987+2 3.398508-2 1.036118+2 3.416745-2 1.052128+2 3.439707-2 1.065206+2 3.472941-2 1.075131+2 3.506356-2 1.079023+2 3.557681-2 1.078663+2 3.642240-2 1.068944+2 3.736508-2 1.050921+2 3.879460-2 1.015947+2 4.053863-2 9.686043+1 4.247388-2 9.155569+1 4.548601-2 8.367585+1 4.898806-2 7.538424+1 5.273152-2 6.760355+1 5.746477-2 5.914322+1 6.329183-2 5.055331+1 7.071516-2 4.191153+1 8.184059-2 3.247660+1 1.092648-1 1.940520+1 1.332770-1 1.351188+1 1.755503-1 8.115648+0 2.172192-1 5.435567+0 2.819436-1 3.296855+0 4.025066-1 1.651138+0 6.025596-1 7.484414-1 9.782927-1 2.870163-1 1.947381+0 7.288462-2 5.880996+0 8.007455-3 1.776032+1 8.781963-4 5.363532+1 9.629467-5 1.619761+2 1.055853-5 4.891600+2 1.157720-6 1.584893+3 1.102822-7 5.011872+3 1.102822-8 1.584893+4 1.102822-9 5.011872+4 1.10282-10 1.000000+5 2.77016-11 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.158200-6 1.258900-6 1.835700-6 1.584900-6 2.909400-6 1.995300-6 4.611000-6 2.511900-6 7.308000-6 3.162300-6 1.158200-5 3.981100-6 1.835700-5 5.011900-6 2.909300-5 6.309600-6 4.610900-5 7.943300-6 7.307800-5 1.000000-5 1.158200-4 1.258900-5 1.835600-4 1.584900-5 2.909100-4 1.995300-5 4.610600-4 2.511900-5 7.307100-4 3.162300-5 1.158100-3 3.981100-5 1.835300-3 5.011900-5 2.908600-3 6.309600-5 4.609500-3 7.943300-5 7.300600-3 1.000000-4 1.156100-2 1.258900-4 1.830900-2 1.584900-4 2.896600-2 1.995300-4 4.580400-2 2.511900-4 7.232100-2 3.162300-4 1.139600-1 3.981100-4 1.789500-1 5.011900-4 2.796100-1 6.309600-4 4.325900-1 7.943300-4 6.601100-1 1.000000-3 9.888800-1 1.258900-3 1.446000+0 1.584900-3 2.054100+0 1.995300-3 2.827000+0 2.511900-3 3.776300+0 3.162300-3 4.899100+0 3.981100-3 6.171700+0 5.011900-3 7.563600+0 6.309600-3 9.084800+0 7.943300-3 1.077200+1 1.000000-2 1.261800+1 1.258900-2 1.459300+1 1.584900-2 1.655100+1 1.995300-2 1.835000+1 2.511900-2 1.997000+1 3.162300-2 2.136200+1 3.981100-2 2.246900+1 5.011900-2 2.325800+1 6.309600-2 2.367400+1 7.943300-2 2.368600+1 1.000000-1 2.331900+1 1.258900-1 2.261400+1 1.584900-1 2.168600+1 1.995300-1 2.054300+1 2.511900-1 1.926100+1 3.162300-1 1.789400+1 3.981100-1 1.649300+1 5.011900-1 1.509600+1 6.309600-1 1.372700+1 7.943300-1 1.240000+1 1.000000+0 1.113400+1 1.258900+0 9.932000+0 1.584900+0 8.803500+0 1.995300+0 7.752400+0 2.511900+0 6.783200+0 3.162300+0 5.898500+0 3.981100+0 5.098900+0 5.011900+0 4.383000+0 6.309600+0 3.747900+0 7.943300+0 3.189400+0 1.000000+1 2.702200+0 1.258900+1 2.280100+0 1.584900+1 1.917000+0 1.995300+1 1.606300+0 2.511900+1 1.341900+0 3.162300+1 1.118100+0 3.981100+1 9.292900-1 5.011900+1 7.706600-1 6.309600+1 6.378300-1 7.943300+1 5.269300-1 1.000000+2 4.345900-1 1.258900+2 3.579000-1 1.584900+2 2.943300-1 1.995300+2 2.417400-1 2.511900+2 1.983200-1 3.162300+2 1.625200-1 3.981100+2 1.330500-1 5.011900+2 1.088200-1 6.309600+2 8.892200-2 7.943300+2 7.260600-2 1.000000+3 5.923700-2 1.258900+3 4.829600-2 1.584900+3 3.934800-2 1.995300+3 3.203800-2 2.511900+3 2.607000-2 3.162300+3 2.120100-2 3.981100+3 1.723200-2 5.011900+3 1.399900-2 6.309600+3 1.136700-2 7.943300+3 9.224800-3 1.000000+4 7.483200-3 1.258900+4 6.067800-3 1.584900+4 4.918000-3 1.995300+4 3.984500-3 2.511900+4 3.227000-3 3.162300+4 2.612500-3 3.981100+4 2.114200-3 5.011900+4 1.710400-3 6.309600+4 1.383300-3 7.943300+4 1.118300-3 1.000000+5 9.038500-4 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159546-4 3.981072-4 3.976748-4 5.011872-4 5.005033-4 6.309573-4 6.298748-4 7.943282-4 7.926259-4 1.000000-3 9.973172-4 1.258925-3 1.254717-3 1.584893-3 1.578323-3 1.995262-3 1.985014-3 2.511886-3 2.495923-3 3.162278-3 3.137413-3 3.981072-3 3.942519-3 5.011872-3 4.952082-3 6.309573-3 6.216732-3 7.943282-3 7.798745-3 1.000000-2 9.774323-3 1.258925-2 1.223848-2 1.584893-2 1.530768-2 1.995262-2 1.912057-2 2.511886-2 2.384436-2 3.162278-2 2.967861-2 3.981072-2 3.685822-2 5.011872-2 4.565668-2 6.309573-2 5.640458-2 7.943282-2 6.948427-2 1.000000-1 8.533953-2 1.258925-1 1.045264-1 1.584893-1 1.274620-1 1.995262-1 1.549838-1 2.511886-1 1.878258-1 3.162278-1 2.268934-1 3.981072-1 2.732030-1 5.011872-1 3.279186-1 6.309573-1 3.924358-1 7.943282-1 4.685280-1 1.000000+0 5.578567-1 1.258925+0 6.632745-1 1.584893+0 7.875221-1 1.995262+0 9.346520-1 2.511886+0 1.109173+0 3.162278+0 1.316898+0 3.981072+0 1.564885+0 5.011872+0 1.861647+0 6.309573+0 2.217864+0 7.943282+0 2.646366+0 1.000000+1 3.162973+0 1.258925+1 3.787032+0 1.584893+1 4.542176+0 1.995262+1 5.457392+0 2.511886+1 6.568010+0 3.162278+1 7.918077+0 3.981072+1 9.560734+0 5.011872+1 1.156140+1 6.309573+1 1.400101+1 7.943282+1 1.697866+1 1.000000+2 2.061599+1 1.258925+2 2.506324+1 1.584893+2 3.050482+1 1.995262+2 3.716848+1 2.511886+2 4.533340+1 3.162278+2 5.534598+1 3.981072+2 6.763047+1 5.011872+2 8.271357+1 6.309573+2 1.012428+2 7.943282+2 1.240185+2 1.000000+3 1.520276+2 1.258925+3 1.864921+2 1.584893+3 2.289166+2 1.995262+3 2.811780+2 2.511886+3 3.455620+2 3.162278+3 4.249378+2 3.981072+3 5.228228+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090663-8 7.943282-5 1.728211-8 1.000000-4 2.738596-8 1.258925-4 4.339964-8 1.584893-4 6.875730-8 1.995262-4 1.089344-7 2.511886-4 1.725430-7 3.162278-4 2.731910-7 3.981072-4 4.323923-7 5.011872-4 6.839058-7 6.309573-4 1.082563-6 7.943282-4 1.702292-6 1.000000-3 2.682804-6 1.258925-3 4.208491-6 1.584893-3 6.570073-6 1.995262-3 1.024821-5 2.511886-3 1.596302-5 3.162278-3 2.486473-5 3.981072-3 3.855243-5 5.011872-3 5.979056-5 6.309573-3 9.284186-5 7.943282-3 1.445375-4 1.000000-2 2.256768-4 1.258925-2 3.507764-4 1.584893-2 5.412503-4 1.995262-2 8.320568-4 2.511886-2 1.274505-3 3.162278-2 1.944163-3 3.981072-2 2.952497-3 5.011872-2 4.462042-3 6.309573-2 6.691153-3 7.943282-2 9.948554-3 1.000000-1 1.466047-2 1.258925-1 2.136614-2 1.584893-1 3.102731-2 1.995262-1 4.454246-2 2.511886-1 6.336282-2 3.162278-1 8.933435-2 3.981072-1 1.249041-1 5.011872-1 1.732686-1 6.309573-1 2.385215-1 7.943282-1 3.258002-1 1.000000+0 4.421433-1 1.258925+0 5.956509-1 1.584893+0 7.973711-1 1.995262+0 1.060610+0 2.511886+0 1.402714+0 3.162278+0 1.845379+0 3.981072+0 2.416187+0 5.011872+0 3.150226+0 6.309573+0 4.091710+0 7.943282+0 5.296916+0 1.000000+1 6.837027+0 1.258925+1 8.802222+0 1.584893+1 1.130676+1 1.995262+1 1.449523+1 2.511886+1 1.855085+1 3.162278+1 2.370470+1 3.981072+1 3.024998+1 5.011872+1 3.855733+1 6.309573+1 4.909472+1 7.943282+1 6.245416+1 1.000000+2 7.938401+1 1.258925+2 1.008293+2 1.584893+2 1.279845+2 1.995262+2 1.623577+2 2.511886+2 2.058552+2 3.162278+2 2.608818+2 3.981072+2 3.304767+2 5.011872+2 4.184737+2 6.309573+2 5.297145+2 7.943282+2 6.703097+2 1.000000+3 8.479724+2 1.258925+3 1.072433+3 1.584893+3 1.355977+3 1.995262+3 1.714084+3 2.511886+3 2.166324+3 3.162278+3 2.737340+3 3.981072+3 3.458249+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 9.630000-6 6.940658+7 9.900000-6 6.706460+7 1.011579-5 6.498645+7 1.042000-5 6.177394+7 1.071519-5 5.846101+7 1.077000-5 5.781173+7 1.077000-5 9.053746+7 1.100000-5 8.728684+7 1.122018-5 8.395460+7 1.135011-5 8.197947+7 1.152000-5 7.934257+7 1.174898-5 7.583467+7 1.175000-5 7.581869+7 1.202264-5 7.157245+7 1.216186-5 6.945046+7 1.240000-5 6.587568+7 1.258925-5 6.312298+7 1.273503-5 6.103781+7 1.310000-5 5.606918+7 1.350000-5 5.096383+7 1.365000-5 4.916812+7 1.400000-5 4.520124+7 1.428894-5 4.217630+7 1.450000-5 4.009065+7 1.513561-5 3.447293+7 1.603245-5 2.796103+7 1.640590-5 2.568616+7 1.737801-5 2.073253+7 2.101000-5 1.017949+7 2.101000-5 1.031448+7 2.120000-5 9.967348+6 2.143000-5 9.566367+6 2.180000-5 8.969256+6 2.213095-5 8.474709+6 2.344229-5 6.836900+6 2.380000-5 6.462258+6 2.400000-5 6.264336+6 2.410000-5 6.169324+6 2.435000-5 5.939898+6 2.460000-5 5.721443+6 2.485000-5 5.513331+6 2.500000-5 5.393215+6 2.511886-5 5.301085+6 2.535000-5 5.127798+6 2.557000-5 4.969695+6 2.581400-5 4.801743+6 2.607000-5 4.633461+6 2.630268-5 4.487185+6 2.650000-5 4.367875+6 2.660725-5 4.304797+6 2.670000-5 4.251820+6 2.692000-5 4.129615+6 2.720000-5 3.980742+6 2.742000-5 3.868748+6 2.754229-5 3.808323+6 2.765000-5 3.756505+6 2.790000-5 3.639856+6 2.818383-5 3.513239+6 2.851018-5 3.374868+6 2.885000-5 3.238482+6 2.917427-5 3.115220+6 2.937300-5 3.043642+6 3.090295-5 2.561280+6 3.150000-5 2.402736+6 3.198895-5 2.282831+6 3.235937-5 2.198670+6 3.311311-5 2.040354+6 3.388442-5 1.894566+6 3.470000-5 1.756063+6 3.507519-5 1.697147+6 3.548134-5 1.637994+6 3.630781-5 1.526480+6 3.730000-5 1.406763+6 3.801894-5 1.328445+6 3.830000-5 1.300121+6 3.935501-5 1.201337+6 4.000000-5 1.146388+6 4.030000-5 1.122384+6 4.073803-5 1.088548+6 4.150000-5 1.034495+6 4.265795-5 9.598791+5 4.365158-5 9.022362+5 4.415704-5 8.757065+5 4.466836-5 8.499224+5 4.570882-5 8.017732+5 4.650000-5 7.678510+5 4.731513-5 7.361941+5 4.900000-5 6.769269+5 5.080000-5 6.237905+5 5.188000-5 5.949916+5 5.300000-5 5.683804+5 5.432503-5 5.395775+5 5.500000-5 5.263343+5 5.650000-5 4.985083+5 5.688529-5 4.919159+5 5.754399-5 4.813782+5 5.826000-5 4.701742+5 5.826000-5 1.620722+6 5.870000-5 1.665883+6 5.900000-5 1.705099+6 5.930000-5 1.752363+6 5.956621-5 1.802905+6 5.960000-5 1.809484+6 5.992000-5 1.882122+6 6.000000-5 1.903419+6 6.004000-5 1.914198+6 6.004000-5 2.650070+6 6.025596-5 2.726436+6 6.040000-5 2.783648+6 6.060000-5 2.868207+6 6.070000-5 2.915218+6 6.095369-5 3.041957+6 6.130000-5 3.245314+6 6.157000-5 3.430341+6 6.165950-5 3.495970+6 6.190000-5 3.689487+6 6.200000-5 3.775315+6 6.220000-5 3.962542+6 6.237348-5 4.136641+6 6.240000-5 4.163997+6 6.250000-5 4.273699+6 6.280000-5 4.628574+6 6.309573-5 5.031605+6 6.315000-5 5.109538+6 6.318900-5 5.167299+6 6.350000-5 5.671254+6 6.370000-5 6.027651+6 6.385000-5 6.319617+6 6.420000-5 7.069260+6 6.421000-5 7.092607+6 6.465000-5 8.216997+6 6.480000-5 8.645262+6 6.500000-5 9.265612+6 6.531306-5 1.033780+7 6.540000-5 1.065709+7 6.595000-5 1.298576+7 6.650000-5 1.584746+7 6.683439-5 1.789894+7 6.710000-5 1.971250+7 6.730000-5 2.120646+7 6.785000-5 2.581386+7 6.830000-5 3.016942+7 6.839116-5 3.110194+7 6.870000-5 3.447469+7 6.900000-5 3.795052+7 6.935000-5 4.220749+7 6.950000-5 4.407589+7 6.960000-5 4.535155+7 6.985000-5 4.854012+7 7.000000-5 5.043794+7 7.015000-5 5.237816+7 7.030000-5 5.425585+7 7.040000-5 5.551870+7 7.070000-5 5.917876+7 7.079458-5 6.023815+7 7.100000-5 6.260987+7 7.130000-5 6.574461+7 7.160000-5 6.851599+7 7.161434-5 6.863425+7 7.190000-5 7.087867+7 7.220000-5 7.277649+7 7.250000-5 7.418558+7 7.277000-5 7.503658+7 7.300000-5 7.545019+7 7.328245-5 7.556988+7 7.330000-5 7.556605+7 7.350000-5 7.537723+7 7.365000-5 7.513310+7 7.380000-5 7.479557+7 7.400000-5 7.420246+7 7.410000-5 7.384909+7 7.435000-5 7.281820+7 7.450000-5 7.211194+7 7.470000-5 7.108204+7 7.500000-5 6.939843+7 7.502500-5 6.924656+7 7.540000-5 6.687209+7 7.580000-5 6.423976+7 7.585776-5 6.385439+7 7.635000-5 6.047371+7 7.673615-5 5.783477+7 7.703700-5 5.586798+7 7.800000-5 4.984673+7 7.900000-5 4.428053+7 7.943282-5 4.212743+7 8.035261-5 3.792916+7 8.128305-5 3.426384+7 8.150000-5 3.346735+7 8.300000-5 2.865268+7 8.350000-5 2.724834+7 8.413951-5 2.559149+7 8.450000-5 2.470794+7 8.650000-5 2.044415+7 8.810489-5 1.765609+7 9.015711-5 1.469876+7 9.225714-5 1.224207+7 9.332543-5 1.116274+7 9.440609-5 1.018003+7 9.650000-5 8.532785+6 9.660509-5 8.457685+6 9.800000-5 7.529122+6 9.900000-5 6.935239+6 1.011579-4 5.820422+6 1.040000-4 4.643451+6 1.047129-4 4.391425+6 1.059254-4 3.998366+6 1.060000-4 3.975545+6 1.080000-4 3.412643+6 1.109175-4 2.750382+6 1.161449-4 1.904460+6 1.190000-4 1.575252+6 1.202264-4 1.455434+6 1.220000-4 1.303138+6 1.230269-4 1.224696+6 1.258925-4 1.038151+6 1.273503-4 9.601285+5 1.280000-4 9.277951+5 1.288250-4 8.897835+5 1.300000-4 8.399819+5 1.307000-4 8.129591+5 1.318257-4 7.725766+5 1.322000-4 7.602262+5 1.335000-4 7.202060+5 1.340000-4 7.061771+5 1.342100-4 7.005649+5 1.342100-4 1.075044+6 1.350000-4 1.053591+6 1.358000-4 1.033629+6 1.364583-4 1.018258+6 1.365000-4 1.017301+6 1.373000-4 1.000216+6 1.380384-4 9.855159+5 1.390000-4 9.681834+5 1.396368-4 9.575677+5 1.407000-4 9.416354+5 1.412538-4 9.339925+5 1.423000-4 9.210830+5 1.428894-4 9.144325+5 1.440000-4 9.034015+5 1.445440-4 8.984656+5 1.452400-4 8.929631+5 1.455300-4 8.908516+5 1.455300-4 1.038593+6 1.462177-4 1.034266+6 1.465000-4 1.032790+6 1.468000-4 1.031402+6 1.480000-4 1.025057+6 1.485000-4 1.023192+6 1.496236-4 1.018556+6 1.500000-4 1.017532+6 1.513561-4 1.013437+6 1.531087-4 1.010467+6 1.550000-4 1.009147+6 1.570000-4 1.009951+6 1.584893-4 1.012094+6 1.590000-4 1.012633+6 1.600000-4 1.014081+6 1.610000-4 1.016112+6 1.640590-4 1.023123+6 1.650000-4 1.026099+6 1.678804-4 1.035669+6 1.698244-4 1.043053+6 1.737801-4 1.059766+6 1.757924-4 1.068905+6 1.778279-4 1.078864+6 1.810000-4 1.094288+6 1.840772-4 1.110494+6 1.865000-4 1.122333+6 1.905461-4 1.143522+6 1.906500-4 1.144054+6 1.910400-4 1.145885+6 1.910400-4 1.278983+6 1.921000-4 1.286950+6 1.930000-4 1.293291+6 1.933000-4 1.295453+6 1.950000-4 1.307058+6 1.972423-4 1.321648+6 1.980000-4 1.326068+6 2.000000-4 1.337159+6 2.010000-4 1.342846+6 2.040000-4 1.359262+6 2.041738-4 1.360144+6 2.080000-4 1.377657+6 2.089296-4 1.381703+6 2.100000-4 1.386378+6 2.113489-4 1.391389+6 2.120000-4 1.393859+6 2.137962-4 1.400307+6 2.162719-4 1.409265+6 2.213095-4 1.422916+6 2.238721-4 1.429510+6 2.240000-4 1.429783+6 2.280000-4 1.437203+6 2.317395-4 1.443862+6 2.350000-4 1.447476+6 2.371374-4 1.449685+6 2.400000-4 1.452678+6 2.426610-4 1.453822+6 2.454709-4 1.455056+6 2.483133-4 1.456347+6 2.540973-4 1.455708+6 2.575200-4 1.455077+6 2.580000-4 1.455006+6 2.691535-4 1.447024+6 2.730000-4 1.442399+6 2.754229-4 1.439306+6 2.800000-4 1.433583+6 2.818383-4 1.430935+6 2.917427-4 1.413865+6 2.951209-4 1.407675+6 2.985383-4 1.400336+6 3.000000-4 1.397163+6 3.019952-4 1.392862+6 3.054921-4 1.385332+6 3.090295-4 1.377282+6 3.100000-4 1.375098+6 3.162278-4 1.359858+6 3.200000-4 1.350735+6 3.235937-4 1.341676+6 3.280000-4 1.329628+6 3.350000-4 1.310867+6 3.388442-4 1.300354+6 3.427678-4 1.289157+6 3.507519-4 1.267033+6 3.548134-4 1.255389+6 3.550000-4 1.254852+6 3.715352-4 1.206772+6 3.758374-4 1.194494+6 3.801894-4 1.181691+6 3.890451-4 1.155868+6 3.935501-4 1.143080+6 4.000000-4 1.124729+6 4.027170-4 1.116850+6 4.100000-4 1.096249+6 4.120975-4 1.090414+6 4.168694-4 1.077189+6 4.216965-4 1.063774+6 4.265795-4 1.050444+6 4.430000-4 1.006252+6 4.466836-4 9.965868+5 4.518559-4 9.832350+5 4.570882-4 9.695916+5 4.700000-4 9.369763+5 4.731513-4 9.291439+5 4.786301-4 9.157549+5 4.850000-4 9.001720+5 5.011872-4 8.624426+5 5.128614-4 8.361423+5 5.150000-4 8.314713+5 5.248075-4 8.100455+5 5.308844-4 7.971825+5 5.400000-4 7.784567+5 5.500000-4 7.584303+5 5.688529-4 7.219000+5 5.754399-4 7.097815+5 5.800000-4 7.015827+5 5.888437-4 6.858737+5 5.900000-4 6.838573+5 6.095369-4 6.504549+5 6.237348-4 6.276569+5 6.293100-4 6.189338+5 6.293100-4 7.073238+5 6.294600-4 7.089372+5 6.297000-4 7.120257+5 6.300000-4 7.168064+5 6.303000-4 7.226824+5 6.306000-4 7.297493+5 6.309000-4 7.381212+5 6.309573-4 7.399209+5 6.311500-4 7.461820+5 6.315000-4 7.593034+5 6.318500-4 7.748060+5 6.322000-4 7.929719+5 6.326500-4 8.207241+5 6.333500-4 8.751415+5 6.341200-4 9.530091+5 6.350000-4 1.063931+6 6.365000-4 1.340150+6 6.370000-4 1.431506+6 6.382635-4 1.887681+6 6.385000-4 1.997778+6 6.386500-4 2.039877+6 6.414600-4 2.282111+6 6.414600-4 3.158050+6 6.436000-4 3.476702+6 6.442000-4 3.567169+6 6.447000-4 3.603590+6 6.502200-4 4.015949+6 6.505000-4 4.032777+6 6.531306-4 4.139408+6 6.535000-4 4.154629+6 6.545000-4 4.178373+6 6.611000-4 4.317743+6 6.615000-4 4.329140+6 6.622800-4 4.336951+6 6.635000-4 4.341330+6 6.678000-4 4.304320+6 6.700000-4 4.264517+6 6.750000-4 4.176036+6 6.752300-4 4.172531+6 6.760830-4 4.155772+6 6.780000-4 4.118416+6 6.839116-4 4.001398+6 6.850000-4 3.980339+6 6.865000-4 3.919533+6 6.900000-4 3.818368+6 6.918310-4 3.770866+6 6.950000-4 3.690442+6 7.000000-4 3.576734+6 7.040000-4 3.502770+6 7.100000-4 3.404118+6 7.120000-4 3.374418+6 7.161434-4 3.316885+6 7.190000-4 3.278002+6 7.244360-4 3.209071+6 7.328245-4 3.106576+6 7.400000-4 3.026678+6 7.413102-4 3.012824+6 7.450000-4 2.974220+6 7.500000-4 2.939098+6 7.650000-4 2.810054+6 7.673615-4 2.791534+6 7.900000-4 2.622640+6 7.943282-4 2.583777+6 8.000000-4 2.544685+6 8.200000-4 2.413268+6 8.222426-4 2.397902+6 8.317638-4 2.339414+6 8.413951-4 2.282359+6 8.511380-4 2.226140+6 8.609938-4 2.171284+6 8.698100-4 2.123810+6 8.698100-4 2.401475+6 8.745000-4 2.378015+6 8.810489-4 2.344798+6 8.912509-4 2.294493+6 8.940000-4 2.281247+6 9.015711-4 2.243875+6 9.200000-4 2.153070+6 9.225714-4 2.140677+6 9.272000-4 2.118644+6 9.272000-4 2.219212+6 9.280000-4 2.215952+6 9.332543-4 2.194496+6 9.392000-4 2.170841+6 9.440609-4 2.150124+6 9.450000-4 2.146162+6 9.500000-4 2.124778+6 9.550000-4 2.103739+6 9.600000-4 2.082451+6 9.700000-4 2.040171+6 9.750000-4 2.019511+6 9.772372-4 2.010149+6 1.000000-3 1.917100+6 1.015000-3 1.857923+6 1.030000-3 1.801372+6 1.035142-3 1.782501+6 1.047129-3 1.739911+6 1.055400-3 1.711315+6 1.055400-3 1.784358+6 1.059254-3 1.771076+6 1.060000-3 1.768521+6 1.063000-3 1.758221+6 1.071519-3 1.728997+6 1.096478-3 1.647581+6 1.122018-3 1.569311+6 1.135011-3 1.531686+6 1.150000-3 1.489552+6 1.161449-3 1.458482+6 1.174898-3 1.422496+6 1.188502-3 1.387332+6 1.190000-3 1.383541+6 1.216186-3 1.319135+6 1.230269-3 1.286358+6 1.244515-3 1.254653+6 1.258925-3 1.223304+6 1.270000-3 1.199962+6 1.300000-3 1.139933+6 1.318257-3 1.105159+6 1.333521-3 1.077281+6 1.348963-3 1.049891+6 1.350000-3 1.048089+6 1.364583-3 1.023010+6 1.380384-3 9.968196+5 1.400000-3 9.656847+5 1.412538-3 9.462737+5 1.428894-3 9.217897+5 1.450000-3 8.912974+5 1.462177-3 8.743390+5 1.479108-3 8.514425+5 1.500000-3 8.243836+5 1.531087-3 7.863969+5 1.548817-3 7.658480+5 1.566751-3 7.458272+5 1.570000-3 7.422794+5 1.621810-3 6.881543+5 1.659587-3 6.521221+5 1.678804-3 6.347600+5 1.698244-3 6.178780+5 1.737801-3 5.855145+5 1.757924-3 5.698242+5 1.778279-3 5.545190+5 1.800000-3 5.387403+5 1.819701-3 5.249670+5 1.840772-3 5.107692+5 1.883649-3 4.835602+5 1.905461-3 4.705228+5 1.927525-3 4.578513+5 1.950000-3 4.453498+5 1.972423-3 4.333039+5 2.018366-3 4.100437+5 2.041738-3 3.988213+5 2.065380-3 3.879161+5 2.089296-3 3.773227+5 2.113489-3 3.669691+5 2.137962-3 3.569144+5 2.150000-3 3.521118+5 2.162719-3 3.470970+5 2.238721-3 3.190878+5 2.264644-3 3.102411+5 2.290868-3 3.016477+5 2.371374-3 2.773449+5 2.426610-3 2.621536+5 2.454709-3 2.548252+5 2.511886-3 2.407877+5 2.540973-3 2.340706+5 2.570396-3 2.275509+5 2.600160-3 2.211964+5 2.630268-3 2.149840+5 2.650000-3 2.110460+5 2.660725-3 2.089464+5 2.691535-3 2.030573+5 2.754229-3 1.917322+5 2.786121-3 1.863159+5 2.818383-3 1.810543+5 2.884032-3 1.709585+5 2.917427-3 1.661348+5 2.951209-3 1.614508+5 3.054921-3 1.480919+5 3.090295-3 1.438759+5 3.150000-3 1.371178+5 3.198895-3 1.319178+5 3.235937-3 1.281522+5 3.273407-3 1.244723+5 3.311311-3 1.209032+5 3.349654-3 1.174268+5 3.427678-3 1.107845+5 3.467369-3 1.075977+5 3.548134-3 1.015036+5 3.589219-3 9.859192+4 3.672823-3 9.300931+4 3.715352-3 9.031032+4 3.801894-3 8.515325+4 3.890451-3 8.028109+4 4.000000-3 7.478565+4 4.027170-3 7.350502+4 4.073803-3 7.137311+4 4.120975-3 6.929328+4 4.168694-3 6.726834+4 4.216965-3 6.530111+4 4.315191-3 6.154328+4 4.365158-3 5.974263+4 4.466836-3 5.630083+4 4.500000-3 5.523915+4 4.518559-3 5.465725+4 4.554500-3 5.355441+4 4.554500-3 1.633344+5 4.570882-3 1.619561+5 4.623810-3 1.576048+5 4.635000-3 1.567046+5 4.695000-3 1.522663+5 4.731513-3 1.491799+5 4.786301-3 1.447094+5 4.841724-3 1.403747+5 4.857500-3 1.391739+5 4.857500-3 1.905418+5 4.897788-3 1.865220+5 4.920000-3 1.843532+5 4.954502-3 1.811940+5 5.000000-3 1.771438+5 5.011872-3 1.760483+5 5.069907-3 1.708264+5 5.128614-3 1.657603+5 5.161900-3 1.629738+5 5.161900-3 1.877323+5 5.188000-3 1.853859+5 5.280000-3 1.774406+5 5.300000-3 1.757465+5 5.308844-3 1.750042+5 5.325000-3 1.736524+5 5.400000-3 1.677070+5 5.495409-3 1.605561+5 5.500000-3 1.602231+5 5.623413-3 1.515141+5 5.650000-3 1.497262+5 5.688529-3 1.471659+5 5.754399-3 1.429249+5 5.821032-3 1.388087+5 5.888437-3 1.348082+5 5.956621-3 1.308799+5 6.025596-3 1.270336+5 6.165950-3 1.197062+5 6.237348-3 1.162057+5 6.309573-3 1.128107+5 6.382635-3 1.095177+5 6.456542-3 1.063231+5 6.500000-3 1.045060+5 6.531306-3 1.032068+5 6.683439-3 9.720221+4 6.800000-3 9.293016+4 6.839116-3 9.155555+4 6.918310-3 8.885917+4 7.000000-3 8.618255+4 7.019900-3 8.554700+4 7.079458-3 8.367286+4 7.244360-3 7.877563+4 7.328245-3 7.643786+4 7.413102-3 7.416950+4 7.585776-3 6.983133+4 7.673615-3 6.776080+4 7.762471-3 6.575966+4 7.852356-3 6.381906+4 7.943282-3 6.192938+4 8.000000-3 6.078630+4 8.035261-3 6.009059+4 8.222426-3 5.657841+4 8.317638-3 5.488918+4 8.413951-3 5.324923+4 8.609938-3 5.011421+4 8.709636-3 4.861839+4 8.810489-3 4.716804+4 8.912509-3 4.575745+4 9.015711-3 4.437266+4 9.120108-3 4.303085+4 9.225714-3 4.173069+4 9.332543-3 4.047047+4 9.440609-3 3.924889+4 9.500000-3 3.859386+4 9.549926-3 3.805459+4 9.772372-3 3.577568+4 9.885531-3 3.468934+4 1.000000-2 3.363588+4 1.023293-2 3.162661+4 1.035142-2 3.066871+4 1.047129-2 2.974057+4 1.059254-2 2.884115+4 1.071519-2 2.796852+4 1.083927-2 2.711523+4 1.109175-2 2.547583+4 1.122018-2 2.469458+4 1.135011-2 2.393773+4 1.161449-2 2.249481+4 1.174898-2 2.180660+4 1.188502-2 2.114005+4 1.202264-2 2.049427+4 1.216186-2 1.986230+4 1.230269-2 1.924727+4 1.258925-2 1.807440+4 1.288250-2 1.697487+4 1.303167-2 1.645110+4 1.318257-2 1.594395+4 1.333521-2 1.545279+4 1.350000-2 1.494594+4 1.364583-2 1.451613+4 1.380384-2 1.406908+4 1.400000-2 1.353654+4 1.412538-2 1.321054+4 1.428894-2 1.280142+4 1.462177-2 1.201650+4 1.479108-2 1.164275+4 1.496236-2 1.128089+4 1.500000-2 1.120313+4 1.513561-2 1.092907+4 1.531087-2 1.058852+4 1.548817-2 1.025882+4 1.566751-2 9.939298+3 1.584893-2 9.629944+3 1.603245-2 9.330188+3 1.621810-2 9.039826+3 1.640590-2 8.757210+3 1.698244-2 7.962561+3 1.717908-2 7.713075+3 1.737801-2 7.471596+3 1.757924-2 7.237855+3 1.778279-2 7.011391+3 1.800000-2 6.780411+3 1.840772-2 6.370846+3 1.862087-2 6.170256+3 1.905461-2 5.787613+3 1.972423-2 5.258748+3 2.000000-2 5.060366+3 2.018366-2 4.933372+3 2.041738-2 4.777908+3 2.065380-2 4.627449+3 2.113489-2 4.340951+3 2.137962-2 4.203540+3 2.162719-2 4.070140+3 2.187762-2 3.941051+3 2.238721-2 3.695042+3 2.290868-2 3.464749+3 2.344229-2 3.249148+3 2.371374-2 3.146031+3 2.398833-2 3.046265+3 2.426610-2 2.949744+3 2.483133-2 2.766001+3 2.500000-2 2.714243+3 2.511886-2 2.678272+3 2.540973-2 2.592777+3 2.570396-2 2.510058+3 2.600160-2 2.429941+3 2.660725-2 2.277473+3 2.691535-2 2.204947+3 2.722701-2 2.134786+3 2.754229-2 2.066844+3 2.818383-2 1.937064+3 2.884032-2 1.815618+3 2.917427-2 1.757848+3 2.951209-2 1.701545+3 3.000000-2 1.624485+3 3.019952-2 1.594292+3 3.090295-2 1.493645+3 3.126079-2 1.445783+3 3.162278-2 1.399488+3 3.198895-2 1.354671+3 3.311311-2 1.228831+3 3.316400-2 1.223504+3 3.316400-2 7.392304+3 3.340000-2 7.261099+3 3.388442-2 7.001840+3 3.440000-2 6.739599+3 3.467369-2 6.594612+3 3.500000-2 6.427259+3 3.548134-2 6.209199+3 3.589219-2 6.031143+3 3.630781-2 5.858224+3 3.672823-2 5.681281+3 3.715352-2 5.509704+3 3.801894-2 5.181972+3 3.935501-2 4.726726+3 4.000000-2 4.529079+3 4.027170-2 4.449206+3 4.120975-2 4.187974+3 4.168694-2 4.063188+3 4.216965-2 3.942111+3 4.265795-2 3.824654+3 4.365158-2 3.600184+3 4.400000-2 3.525795+3 4.415704-2 3.492151+3 4.518559-2 3.282332+3 4.570882-2 3.182192+3 4.677351-2 2.990791+3 4.731513-2 2.899467+3 4.897788-2 2.641952+3 4.954502-2 2.561291+3 5.011872-2 2.483084+3 5.069907-2 2.407266+3 5.248075-2 2.190181+3 5.308844-2 2.122275+3 5.370318-2 2.056476+3 5.432503-2 1.992643+3 5.559043-2 1.870877+3 5.888437-2 1.598119+3 6.000000-2 1.518080+3 6.095369-2 1.453943+3 6.237348-2 1.365144+3 6.309573-2 1.322795+3 6.382635-2 1.281085+3 6.531306-2 1.201486+3 6.606934-2 1.163564+3 7.000000-2 9.905865+2 7.244360-2 9.003164+2 7.585776-2 7.919810+2 7.852356-2 7.193116+2 7.943282-2 6.963050+2 8.035261-2 6.740356+2 8.128305-2 6.524799+2 8.222426-2 6.316149+2 8.317638-2 6.114183+2 8.413951-2 5.918690+2 8.609938-2 5.546210+2 8.810489-2 5.197211+2 9.225714-2 4.563803+2 9.660509-2 4.007132+2 9.772372-2 3.878935+2 9.885531-2 3.754845+2 1.000000-1 3.633573+2 1.011580-1 3.516219+2 1.035142-1 3.292792+2 1.059254-1 3.083533+2 1.150000-1 2.439354+2 1.161449-1 2.371369+2 1.174898-1 2.294747+2 1.202264-1 2.148865+2 1.230269-1 2.012262+2 1.273503-1 1.823491+2 1.288250-1 1.764599+2 1.303167-1 1.707614+2 1.318257-1 1.652305+2 1.333521-1 1.598794+2 1.364583-1 1.496903+2 1.396368-1 1.401515+2 1.412538-1 1.356124+2 1.462177-1 1.228600+2 1.548817-1 1.042194+2 1.584893-1 9.758291+1 1.603245-1 9.442500+1 1.640590-1 8.841256+1 1.678804-1 8.278363+1 1.698244-1 8.010520+1 1.757924-1 7.257931+1 1.798871-1 6.796018+1 1.862087-1 6.157720+1 1.883649-1 5.958613+1 1.949845-1 5.399120+1 1.972423-1 5.224568+1 2.000000-1 5.021564+1 2.018366-1 4.892241+1 2.041738-1 4.734092+1 2.065380-1 4.582561+1 2.137962-1 4.156519+1 2.213095-1 3.770185+1 2.238721-1 3.649566+1 2.264644-1 3.532807+1 2.290868-1 3.419792+1 2.344229-1 3.204506+1 2.371374-1 3.102002+1 2.398833-1 3.002796+1 2.426610-1 2.906768+1 2.454709-1 2.813939+1 2.483133-1 2.724077+1 2.511886-1 2.637087+1 2.540973-1 2.553952+1 2.570396-1 2.473441+1 2.600160-1 2.395473+1 2.630268-1 2.319968+1 2.660725-1 2.246844+1 2.691535-1 2.176043+1 2.710800-1 2.133307+1 2.722701-1 2.107476+1 2.851018-1 1.854243+1 2.884032-1 1.795840+1 2.917427-1 1.739287+1 2.951209-1 1.684594+1 3.000000-1 1.610870+1 3.000060-1 1.610782+1 3.054921-1 1.533063+1 3.090295-1 1.485658+1 3.162278-1 1.395217+1 3.198895-1 1.352097+1 3.235937-1 1.310310+1 3.273407-1 1.269817+1 3.311311-1 1.230577+1 3.388442-1 1.155696+1 3.427678-1 1.120653+1 3.467369-1 1.086673+1 3.548134-1 1.021786+1 3.589219-1 9.908115+0 3.630781-1 9.607768+0 3.672823-1 9.316538+0 3.758374-1 8.760495+0 3.801894-1 8.495114+0 3.845918-1 8.237786+0 3.890451-1 7.992773+0 3.935501-1 7.755569+0 3.981072-1 7.525414+0 4.027170-1 7.302108+0 4.073803-1 7.085426+0 4.168694-1 6.671170+0 4.265795-1 6.281391+0 4.315191-1 6.095136+0 4.365158-1 5.917986+0 4.415705-1 5.746028+0 4.466836-1 5.579452+0 4.570882-1 5.260652+0 4.677351-1 4.960145+0 4.731513-1 4.816391+0 4.786301-1 4.676876+0 4.841724-1 4.541411+0 4.954502-1 4.287890+0 5.000000-1 4.191213+0 5.011872-1 4.166554+0 5.069907-1 4.048926+0 5.188000-1 3.823542+0 5.248075-1 3.715599+0 5.308844-1 3.610719+0 5.370318-1 3.508847+0 5.432503-1 3.412099+0 5.495409-1 3.318019+0 5.623413-1 3.137617+0 5.688529-1 3.051356+0 5.754399-1 2.967467+0 5.821032-1 2.885889+0 5.956621-1 2.729411+0 6.025596-1 2.656214+0 6.095369-1 2.584999+0 6.237348-1 2.448248+0 6.309573-1 2.382790+0 6.382635-1 2.319086+0 6.456542-1 2.257090+0 6.606935-1 2.138025+0 6.839117-1 1.975410+0 6.918310-1 1.924151+0 6.998420-1 1.874232+0 7.079458-1 1.825608+0 7.161434-1 1.778249+0 7.244360-1 1.732118+0 7.328245-1 1.687206+0 7.413102-1 1.644682+0 7.585776-1 1.562823+0 7.673615-1 1.523546+0 7.852356-1 1.447941+0 7.943282-1 1.411558+0 8.035261-1 1.376099+0 8.128305-1 1.341538+0 8.222427-1 1.308835+0 8.413951-1 1.245839+0 8.511380-1 1.215488+0 8.609938-1 1.185953+0 8.709636-1 1.157141+0 8.912509-1 1.101604+0 9.015711-1 1.074851+0 9.120108-1 1.049526+0 9.225714-1 1.024816+0 9.332543-1 1.000687+0 9.440609-1 9.771367-1 9.549926-1 9.541444-1 9.660509-1 9.317851-1 9.772372-1 9.099500-1 9.885531-1 8.886284-1 1.000000+0 8.683628-1 1.011579+0 8.485712-1 1.022000+0 8.313316-1 1.023293+0 8.292299-1 1.047129+0 7.918702-1 1.059254+0 7.738286-1 1.071519+0 7.562440-1 1.083927+0 7.390588-1 1.096478+0 7.222651-1 1.109175+0 7.058522-1 1.122018+0 6.898135-1 1.135011+0 6.741423-1 1.148154+0 6.588324-1 1.161449+0 6.443788-1 1.174898+0 6.302446-1 1.188600+0 6.163861-1 1.202264+0 6.030226-1 1.216186+0 5.898591-1 1.258925+0 5.520804-1 1.273503+0 5.403200-1 1.288250+0 5.288108-1 1.303167+0 5.175473-1 1.318257+0 5.065236-1 1.333521+0 4.957352-1 1.348963+0 4.852073-1 1.396368+0 4.549551-1 1.412538+0 4.452962-1 1.428894+0 4.358436-1 1.445440+0 4.268474-1 1.500000+0 3.991374-1 1.513561+0 3.927077-1 1.531087+0 3.846336-1 1.548817+0 3.767276-1 1.566751+0 3.689847-1 1.621810+0 3.473770-1 1.640590+0 3.404593-1 1.659587+0 3.336798-1 1.678804+0 3.270358-1 1.698244+0 3.205454-1 1.737801+0 3.079487-1 1.757924+0 3.018386-1 1.840772+0 2.792605-1 1.862087+0 2.738850-1 1.883649+0 2.686133-1 1.905461+0 2.634432-1 1.927525+0 2.583892-1 1.972423+0 2.485701-1 2.000000+0 2.428319-1 2.018366+0 2.391274-1 2.044000+0 2.342587-1 2.065380+0 2.303190-1 2.089296+0 2.260373-1 2.113489+0 2.218352-1 2.137962+0 2.177117-1 2.162719+0 2.136648-1 2.213095+0 2.058251-1 2.238721+0 2.020149-1 2.264644+0 1.982760-1 2.290868+0 1.947259-1 2.317395+0 1.912395-1 2.344229+0 1.878155-1 2.398833+0 1.811503-1 2.426610+0 1.779074-1 2.454709+0 1.747225-1 2.511886+0 1.685448-1 2.540973+0 1.655391-1 2.570396+0 1.625877-1 2.600160+0 1.597821-1 2.630268+0 1.570250-1 2.660725+0 1.543155-1 2.722701+0 1.490359-1 2.754229+0 1.464644-1 2.786121+0 1.439374-1 2.884032+0 1.366394-1 2.917427+0 1.342905-1 2.951209+0 1.319825-1 3.000000+0 1.288518-1 3.019952+0 1.276075-1 3.090295+0 1.233776-1 3.162278+0 1.192878-1 3.235937+0 1.153341-1 3.273407+0 1.134067-1 3.349654+0 1.096607-1 3.388442+0 1.078348-1 3.427678+0 1.060398-1 3.467369+0 1.043287-1 3.507519+0 1.026453-1 3.589219+0 9.935946-2 3.672823+0 9.617880-2 3.758374+0 9.310033-2 3.801894+0 9.159825-2 3.890451+0 8.867615-2 3.935501+0 8.725056-2 4.000000+0 8.527707-2 4.027170+0 8.449320-2 4.073803+0 8.317658-2 4.168694+0 8.060459-2 4.265795+0 7.811215-2 4.365158+0 7.569703-2 4.415704+0 7.451763-2 4.466836+0 7.336044-2 4.570882+0 7.109970-2 4.623810+0 6.999587-2 4.677351+0 6.890942-2 4.731513+0 6.787090-2 4.786301+0 6.684805-2 4.897788+0 6.484836-2 5.011872+0 6.290849-2 5.128614+0 6.102684-2 5.188000+0 6.010724-2 5.248075+0 5.920148-2 5.308844+0 5.831229-2 5.432503+0 5.657373-2 5.495409+0 5.572418-2 5.559043+0 5.488757-2 5.623413+0 5.408761-2 5.688529+0 5.329929-2 5.821032+0 5.175696-2 5.956621+0 5.025927-2 6.095369+0 4.880506-2 6.165950+0 4.809382-2 6.237348+0 4.739295-2 6.309573+0 4.670446-2 6.456542+0 4.535735-2 6.531306+0 4.469858-2 6.606934+0 4.404952-2 6.683439+0 4.341023-2 6.760830+0 4.279716-2 6.839116+0 4.219277-2 7.000000+0 4.099800-2 7.161434+0 3.985931-2 7.413102+0 3.819447-2 7.498942+0 3.765512-2 7.585776+0 3.712339-2 7.673615+0 3.660073-2 7.852356+0 3.557740-2 8.000000+0 3.477067-2 8.035261+0 3.458292-2 8.128305+0 3.409650-2 8.222427+0 3.362904-2 8.317638+0 3.316800-2 8.511380+0 3.226479-2 8.810489+0 3.095587-2 9.120108+0 2.970017-2 9.225714+0 2.929303-2 9.332543+0 2.889148-2 9.440609+0 2.849660-2 9.660509+0 2.772296-2 9.885531+0 2.697049-2 1.000000+1 2.660222-2 1.011579+1 2.624851-2 1.023293+1 2.589948-2 1.047129+1 2.521530-2 1.083927+1 2.422279-2 1.122018+1 2.326944-2 1.135011+1 2.296005-2 1.161449+1 2.235359-2 1.174898+1 2.205716-2 1.202264+1 2.147605-2 1.244515+1 2.063308-2 1.273503+1 2.008991-2 1.288250+1 1.982951-2 1.318257+1 1.931881-2 1.348963+1 1.882126-2 1.412538+1 1.786426-2 1.445440+1 1.740422-2 1.462177+1 1.717867-2 1.479108+1 1.695604-2 1.500000+1 1.668941-2 1.513561+1 1.652054-2 1.548817+1 1.609631-2 1.566751+1 1.588842-2 1.603245+1 1.548807-2 1.659587+1 1.490638-2 1.757924+1 1.398505-2 1.905461+1 1.279005-2 1.927525+1 1.262789-2 1.949845+1 1.246779-2 1.972423+1 1.230973-2 2.000000+1 1.212220-2 2.018366+1 1.200032-2 2.041738+1 1.184865-2 2.065380+1 1.170210-2 2.187762+1 1.099609-2 2.317395+1 1.033267-2 2.454709+1 9.709282-3 2.511886+1 9.470596-3 2.540973+1 9.353462-3 2.570396+1 9.237781-3 2.600160+1 9.123530-3 2.630268+1 9.010704-3 2.691535+1 8.789630-3 2.754229+1 8.574009-3 2.851018+1 8.260617-3 2.917427+1 8.061643-3 3.090295+1 7.584926-3 3.273407+1 7.136397-3 3.467369+1 6.714392-3 3.589219+1 6.473273-3 3.630781+1 6.394840-3 3.672823+1 6.317360-3 3.715352+1 6.240819-3 3.758374+1 6.165204-3 3.801894+1 6.090513-3 3.890451+1 5.944094-3 4.027170+1 5.731066-3 4.168694+1 5.525768-3 4.265795+1 5.395117-3 4.570882+1 5.021408-3 4.786301+1 4.786763-3 5.128614+1 4.455194-3 5.370318+1 4.247013-3 5.432503+1 4.196506-3 5.559043+1 4.097289-3 5.623413+1 4.048565-3 5.688529+1 4.000419-3 5.754399+1 3.952846-3 5.821032+1 3.905842-3 6.000000+1 3.785030-3 6.237348+1 3.635712-3 6.309573+1 3.592556-3 6.606934+1 3.425011-3 6.839116+1 3.305978-3 7.498942+1 3.008392-3 7.943282+1 2.836162-3 8.609938+1 2.611477-3 9.120108+1 2.461973-3 9.225714+1 2.433116-3 9.440609+1 2.376412-3 9.549926+1 2.348558-3 9.772372+1 2.293826-3 1.000000+2 2.240372-3 1.023293+2 2.188219-3 1.083927+2 2.063097-3 1.122018+2 1.991500-3 1.188502+2 1.877657-3 1.273503+2 1.750783-3 1.479108+2 1.504530-3 1.566751+2 1.419321-3 1.678804+2 1.323418-3 1.757924+2 1.263110-3 1.798871+2 1.233995-3 1.819701+2 1.219691-3 1.840772+2 1.205552-3 1.862087+2 1.191578-3 1.905461+2 1.164112-3 1.927525+2 1.150628-3 2.089296+2 1.060512-3 2.213095+2 1.000505-3 2.371374+2 9.329639-4 2.540973+2 8.702981-4 2.951209+2 7.485861-4 3.126079+2 7.064440-4 3.349654+2 6.589933-4 3.507519+2 6.291437-4 3.589219+2 6.147302-4 3.630781+2 6.076475-4 3.672823+2 6.006467-4 3.715352+2 5.937266-4 3.801894+2 5.801247-4 3.845918+2 5.734440-4 4.168694+2 5.287861-4 4.415704+2 4.990356-4 4.731513+2 4.655367-4 1.011579+3 2.172968-4 1.174898+3 1.870146-4 1.244515+3 1.765255-4 1.333521+3 1.647122-4 1.396368+3 1.572792-4 1.428894+3 1.536894-4 1.445440+3 1.519253-4 1.462177+3 1.501816-4 1.479108+3 1.484579-4 1.513561+3 1.450695-4 1.531087+3 1.434049-4 1.659587+3 1.322752-4 1.757924+3 1.248586-4 1.883649+3 1.165058-4 3.198895+4 6.856894-6 7.852356+4 2.792915-6 1.000000+5 2.193001-6 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 9.630000-6 9.630000-6 1.077000-5 9.630000-6 1.077000-5 1.004207-5 1.365000-5 1.009206-5 2.101000-5 1.010555-5 2.101000-5 1.024826-5 2.485000-5 1.017188-5 2.790000-5 1.018587-5 3.090295-5 1.027871-5 3.388442-5 1.045001-5 3.730000-5 1.073215-5 4.150000-5 1.117301-5 5.300000-5 1.252980-5 5.826000-5 1.306558-5 5.826000-5 2.566586-5 5.930000-5 2.623374-5 6.004000-5 2.673019-5 6.004000-5 2.776644-5 6.318900-5 2.936230-5 6.465000-5 2.990758-5 6.595000-5 3.022844-5 6.785000-5 3.048716-5 7.079458-5 3.061142-5 8.810489-5 3.042670-5 9.900000-5 3.014614-5 1.080000-4 2.971587-5 1.161449-4 2.909910-5 1.230269-4 2.838121-5 1.342100-4 2.703141-5 1.342100-4 3.880267-5 1.390000-4 3.963316-5 1.440000-4 4.020002-5 1.455300-4 4.031118-5 1.455300-4 4.317695-5 1.496236-4 4.340534-5 1.550000-4 4.335652-5 1.610000-4 4.303515-5 1.840772-4 4.112828-5 1.910400-4 4.065843-5 1.910400-4 4.418653-5 2.010000-4 4.394642-5 2.371374-4 4.260572-5 2.580000-4 4.211129-5 2.951209-4 4.166297-5 3.427678-4 4.141569-5 4.265795-4 4.144225-5 5.800000-4 4.196523-5 6.293100-4 4.218141-5 6.293100-4 4.679540-5 6.300000-4 4.728037-5 6.309000-4 4.827200-5 6.315000-4 4.918022-5 6.322000-4 5.050447-5 6.326500-4 5.150483-5 6.333500-4 5.326942-5 6.350000-4 5.794709-5 6.365000-4 6.237475-5 6.370000-4 6.346320-5 6.385000-4 6.794117-5 6.386500-4 6.817590-5 6.414600-4 6.940836-5 6.414600-4 7.196947-5 6.447000-4 7.288382-5 6.505000-4 7.359412-5 6.635000-4 7.412876-5 6.865000-4 7.390947-5 7.161434-4 7.343407-5 7.673615-4 7.317449-5 8.698100-4 7.297356-5 8.698100-4 7.965961-5 9.015711-4 8.013602-5 9.272000-4 8.036131-5 9.272000-4 8.277800-5 9.600000-4 8.347478-5 1.055400-3 8.448062-5 1.055400-3 8.795642-5 1.258925-3 9.045097-5 1.621810-3 9.410651-5 2.041738-3 9.762458-5 2.570396-3 1.012057-4 3.198895-3 1.046265-4 3.890451-3 1.076612-4 4.554500-3 1.100702-4 4.554500-3 1.538048-4 4.857500-3 1.542652-4 4.857500-3 1.622813-4 5.161900-3 1.625489-4 5.161900-3 1.700307-4 7.328245-3 1.732462-4 1.071519-2 1.767821-4 1.584893-2 1.804522-4 2.290868-2 1.838987-4 3.316400-2 1.872226-4 3.316400-2 1.898407-4 7.943282-2 1.908395-4 2.917427-1 1.915156-4 4.265795+1 1.917093-4 1.000000+5 1.917085-4 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 9.630000-6 0.0 6.004000-5 0.0 6.004000-5 6.48494-10 6.025596-5 6.44683-10 6.157000-5 6.16139-10 6.220000-5 6.04285-10 6.315000-5 5.90064-10 6.350000-5 5.85674-10 6.421000-5 5.79543-10 6.465000-5 5.76455-10 6.540000-5 5.73969-10 6.595000-5 5.73368-10 6.650000-5 5.75186-10 6.730000-5 5.81386-10 6.785000-5 5.89036-10 6.839116-5 5.99913-10 6.870000-5 6.07835-10 6.900000-5 6.17758-10 6.935000-5 6.31179-10 6.960000-5 6.42553-10 6.985000-5 6.55307-10 7.015000-5 6.72897-10 7.040000-5 6.88910-10 7.079458-5 7.17835-10 7.130000-5 7.58502-10 7.277000-5 8.87290-10 7.330000-5 9.28441-10 7.350000-5 9.42948-10 7.380000-5 9.61946-10 7.435000-5 9.91142-10 7.470000-5 1.005549-9 7.540000-5 1.026521-9 7.585776-5 1.034781-9 7.635000-5 1.041114-9 7.703700-5 1.044783-9 7.900000-5 1.041900-9 8.300000-5 1.024177-9 8.650000-5 1.015684-9 9.440609-5 1.006559-9 9.900000-5 9.99899-10 1.047129-4 9.86999-10 1.109175-4 9.66724-10 1.161449-4 9.41073-10 1.202264-4 9.16075-10 1.230269-4 8.95110-10 1.280000-4 8.51413-10 1.342100-4 7.89239-10 1.342100-4 1.145715-9 1.396368-4 1.151782-9 1.455300-4 1.150344-9 1.455300-4 1.460873-9 1.485000-4 1.466505-9 1.531087-4 1.460500-9 1.590000-4 1.441139-9 1.737801-4 1.370164-9 1.810000-4 1.341549-9 1.910400-4 1.311951-9 1.910400-4 1.507808-9 1.950000-4 1.508366-9 2.089296-4 1.493851-9 2.371374-4 1.454611-9 2.540973-4 1.439629-9 2.754229-4 1.429450-9 3.100000-4 1.420813-9 3.550000-4 1.420030-9 4.518559-4 1.433110-9 6.293100-4 1.474260-9 6.293100-4 1.535922-9 6.306000-4 1.550770-9 6.318500-4 1.576509-9 6.326500-4 1.599308-9 6.341200-4 1.651881-9 6.365000-4 1.744754-9 6.370000-4 1.759302-9 6.385000-4 1.819059-9 6.386500-4 1.822194-9 6.414600-4 1.838755-9 6.414600-4 6.938354-8 6.436000-4 7.069578-8 6.442000-4 7.075946-8 6.447000-4 7.158999-8 6.502200-4 8.166222-8 6.505000-4 8.193961-8 6.535000-4 8.243402-8 6.611000-4 8.670994-8 6.615000-4 8.703790-8 6.635000-4 8.747492-8 6.678000-4 8.968713-8 6.752300-4 9.084930-8 6.850000-4 9.010938-8 6.865000-4 9.027262-8 6.918310-4 8.946129-8 7.000000-4 8.774317-8 7.040000-4 8.708596-8 7.120000-4 8.642147-8 7.190000-4 8.601053-8 7.450000-4 8.518579-8 7.500000-4 8.460240-8 7.673615-4 8.416899-8 7.900000-4 8.411189-8 7.943282-4 8.436449-8 8.698100-4 8.402365-8 8.698100-4 1.312320-7 8.940000-4 1.340895-7 9.272000-4 1.365051-7 9.272000-4 1.613653-7 9.392000-4 1.645681-7 9.600000-4 1.679328-7 9.772372-4 1.698652-7 1.030000-3 1.745672-7 1.055400-3 1.767062-7 1.055400-3 1.974655-7 1.161449-3 2.082472-7 1.270000-3 2.180581-7 1.500000-3 2.370005-7 1.698244-3 2.513760-7 1.927525-3 2.664670-7 2.162719-3 2.800318-7 2.454709-3 2.950311-7 2.754229-3 3.085078-7 3.090295-3 3.218782-7 3.467369-3 3.349804-7 3.801894-3 3.452932-7 4.216965-3 3.566963-7 4.554500-3 3.649140-7 4.554500-3 2.337412-4 4.731513-3 2.346720-4 4.857500-3 2.345229-4 4.857500-3 2.856523-4 5.161900-3 2.860352-4 5.161900-3 2.989484-4 6.531306-3 3.010053-4 1.035142-2 3.033607-4 1.972423-2 3.051584-4 3.316400-2 3.060857-4 3.316400-2 2.187757-2 4.000000-2 2.205514-2 5.069907-2 2.223835-2 7.244360-2 2.240792-2 1.202264-1 2.254155-2 2.630268-1 2.261364-2 1.333521+0 2.269721-2 1.000000+5 2.269303-2 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 9.630000-6 0.0 1.077000-5 1.140000-6 1.077000-5 7.279349-7 1.152000-5 1.456967-6 1.273503-5 2.651244-6 1.513561-5 5.035923-6 2.101000-5 1.090445-5 2.101000-5 1.076174-5 2.511886-5 1.494882-5 2.885000-5 1.864318-5 3.311311-5 2.271457-5 3.830000-5 2.747054-5 5.688529-5 4.394967-5 5.826000-5 4.519442-5 5.826000-5 3.259414-5 5.960000-5 3.317329-5 6.004000-5 3.330981-5 6.004000-5 3.227291-5 6.318900-5 3.382611-5 6.480000-5 3.484769-5 6.650000-5 3.617477-5 6.900000-5 3.843544-5 7.470000-5 4.410980-5 9.440609-5 6.411589-5 1.080000-4 7.828315-5 1.202264-4 9.153086-5 1.342100-4 1.071778-4 1.342100-4 9.540618-5 1.412538-4 1.013250-4 1.455300-4 1.052177-4 1.455300-4 1.023516-4 1.531087-4 1.097006-4 1.650000-4 1.222848-4 1.910400-4 1.503803-4 1.910400-4 1.468520-4 2.580000-4 2.158873-4 3.801894-4 3.387903-4 6.293100-4 5.871271-4 6.293100-4 5.825131-4 6.322000-4 5.816939-4 6.386500-4 5.704723-4 6.414600-4 5.720498-4 6.414600-4 5.694211-4 6.545000-4 5.805846-4 8.698100-4 7.967524-4 8.698100-4 7.900191-4 9.272000-4 8.467022-4 9.272000-4 8.442606-4 1.055400-3 9.707427-4 1.055400-3 9.672461-4 2.884032-3 2.780715-3 4.554500-3 4.444065-3 4.554500-3 4.166954-3 4.857500-3 4.468712-3 4.857500-3 4.409566-3 5.161900-3 4.713316-3 5.161900-3 4.692921-3 3.316400-2 3.267069-2 3.316400-2 1.109659-2 3.715352-2 1.496520-2 4.954502-2 2.713215-2 8.413951-2 6.148965-2 1.000000+5 9.999997+4 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 3.316400-2 6.168800+3 3.440000-2 5.636620+3 3.500000-2 5.377180+3 3.630781-2 4.912083+3 3.935501-2 3.974111+3 4.400000-2 2.978460+3 5.069907-2 2.042428+3 6.309573-2 1.128196+3 7.852356-2 6.159075+2 9.885531-2 3.224364+2 1.303167-1 1.469903+2 2.041738-1 4.082404+1 2.511886-1 2.275297+1 2.951209-1 1.453964+1 3.388442-1 9.978164+0 3.845918-1 7.114186+0 4.315191-1 5.264980+0 4.841724-1 3.923821+0 5.370318-1 3.032479+0 5.956621-1 2.359608+0 6.606935-1 1.848862+0 7.328245-1 1.459247+0 8.128305-1 1.160508+0 9.015711-1 9.302179-1 9.885531-1 7.694281-1 1.148154+0 5.706181-1 1.258925+0 4.781402-1 1.428894+0 3.774260-1 1.566751+0 3.195083-1 1.757924+0 2.613674-1 2.018366+0 2.070657-1 2.264644+0 1.716919-1 2.570396+0 1.407916-1 2.951209+0 1.142899-1 3.427678+0 9.182567-2 4.000000+0 7.384600-2 4.677351+0 5.967182-2 5.559043+0 4.753009-2 6.683439+0 3.759075-2 8.128305+0 2.952576-2 1.000000+1 2.303600-2 1.273503+1 1.739670-2 1.566751+1 1.375913-2 2.041738+1 1.026074-2 2.851018+1 7.153332-3 4.168694+1 4.785079-3 6.606934+1 2.965900-3 1.188502+2 1.625956-3 2.371374+2 8.079345-4 4.731513+2 4.031470-4 1.883649+3 1.008897-4 1.000000+5 1.899200-6 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 3.316400-2 1.903600-4 1.000000+5 1.903600-4 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.316400-2 2.615600-2 1.000000+5 2.615600-2 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.316400-2 6.817640-3 1.000000+5 9.999997+4 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 5.161900-3 2.475848+4 5.280000-3 2.384360+4 5.325000-3 2.343920+4 5.650000-3 2.135260+4 6.025596-3 1.910231+4 6.500000-3 1.682326+4 6.918310-3 1.504701+4 7.673615-3 1.241542+4 8.222426-3 1.095929+4 8.810489-3 9.604552+3 1.071519-2 6.553426+3 1.202264-2 5.182794+3 1.380384-2 3.892032+3 1.621810-2 2.753788+3 1.800000-2 2.190520+3 2.113489-2 1.527244+3 2.500000-2 1.036336+3 2.917427-2 7.191135+2 3.388442-2 5.007431+2 3.935501-2 3.461665+2 4.570882-2 2.376405+2 5.370318-2 1.573347+2 6.382635-2 1.003345+2 7.585776-2 6.350929+1 9.225714-2 3.752147+1 1.150000-1 2.057180+1 2.426610-1 2.615932+0 2.917427-1 1.583547+0 3.388442-1 1.060321+0 3.890451-1 7.373285-1 4.415705-1 5.322300-1 5.000000-1 3.894868-1 5.623413-1 2.922365-1 6.237348-1 2.283970-1 6.839117-1 1.845961-1 7.585776-1 1.463645-1 8.511380-1 1.139700-1 9.549926-1 8.934662-2 1.059254+0 7.239155-2 1.174898+0 5.894156-2 1.333521+0 4.637209-2 1.500000+0 3.734339-2 1.678804+0 3.059998-2 1.905461+0 2.464464-2 2.162719+0 1.999007-2 2.454709+0 1.634583-2 2.786121+0 1.346408-2 3.273407+0 1.060880-2 3.801894+0 8.568366-3 4.415704+0 6.970745-3 5.248075+0 5.537930-3 6.237348+0 4.433019-3 7.585776+0 3.472694-3 9.332543+0 2.702714-3 1.161449+1 2.090979-3 1.479108+1 1.586303-3 1.972423+1 1.152005-3 2.630268+1 8.430123-4 3.801894+1 5.697948-4 5.821032+1 3.654049-4 1.000000+2 2.096000-4 1.905461+2 1.089178-4 3.801894+2 5.429326-5 1.513561+3 1.358184-5 1.000000+5 2.053000-7 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 5.161900-3 2.192800-4 1.000000+5 2.192800-4 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 5.161900-3 3.839500-4 1.000000+5 3.839500-4 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 5.161900-3 4.558670-3 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 4.857500-3 5.136788+4 4.920000-3 4.980142+4 5.000000-3 4.821007+4 5.308844-3 4.140200+4 5.956621-3 3.070000+4 6.500000-3 2.425200+4 7.852356-3 1.440400+4 9.440609-3 8.589400+3 1.071519-2 5.950000+3 1.216186-2 4.109700+3 1.496236-2 2.211800+3 1.800000-2 1.258400+3 2.137962-2 7.378000+2 2.511886-2 4.443200+2 3.000000-2 2.523200+2 3.630781-2 1.363400+2 4.518559-2 6.679200+1 5.888437-2 2.791300+1 1.161449-1 2.931900+0 1.462177-1 1.374500+0 1.757924-1 7.550100-1 2.041738-1 4.671300-1 2.371374-1 2.913300-1 2.722701-1 1.896778-1 3.090295-1 1.289020-1 3.467369-1 9.134030-2 3.890451-1 6.518044-2 4.365158-1 4.686988-2 4.841724-1 3.507423-2 5.370318-1 2.642842-2 5.956621-1 2.006036-2 6.606935-1 1.534593-2 7.244360-1 1.218961-2 8.035261-1 9.477560-3 9.332543-1 6.659763-3 9.885531-1 5.848118-3 1.059254+0 5.045069-3 1.135011+0 4.381469-3 1.202264+0 3.917362-3 1.333521+0 3.233462-3 1.531087+0 2.526246-3 1.757924+0 1.984153-3 2.000000+0 1.594964-3 2.238721+0 1.326883-3 2.540973+0 1.087331-3 2.917427+0 8.820634-4 3.388442+0 7.083227-4 3.935501+0 5.730829-4 4.623810+0 4.597950-4 5.495409+0 3.660509-4 6.531306+0 2.935807-4 8.000000+0 2.284000-4 9.885531+0 1.771726-4 1.244515+1 1.355349-4 1.548817+1 1.057441-4 2.018366+1 7.884256-5 2.754229+1 5.631823-5 4.027170+1 3.764548-5 6.309573+1 2.359801-5 1.122018+2 1.308158-5 2.213095+2 6.572709-6 4.415704+2 3.278661-6 1.757924+3 8.203946-7 1.000000+5 1.441000-8 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 4.857500-3 1.840000-4 1.000000+5 1.840000-4 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 4.857500-3 4.241800-4 1.000000+5 4.241800-4 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 4.857500-3 4.249320-3 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 4.554500-3 1.097800+5 4.635000-3 1.055225+5 4.695000-3 1.027668+5 5.500000-3 6.739120+4 5.888437-3 5.587707+4 7.019900-3 3.404112+4 7.943282-3 2.390910+4 8.912509-3 1.715358+4 1.083927-2 9.581575+3 1.202264-2 7.001454+3 1.428894-2 4.118374+3 1.698244-2 2.397986+3 2.000000-2 1.424600+3 2.344229-2 8.528190+2 2.754229-2 5.030775+2 3.311311-2 2.730089+2 4.000000-2 1.446712+2 4.897788-2 7.269146+1 6.237348-2 3.169214+1 1.273503-1 2.675252+0 1.548817-1 1.366259+0 1.862087-1 7.319203-1 2.137962-1 4.613031-1 2.426610-1 3.042094-1 2.722701-1 2.097207-1 3.054921-1 1.456199-1 3.388442-1 1.055930-1 3.758374-1 7.712976-2 4.168694-1 5.678525-2 4.570882-1 4.355395-2 5.011872-1 3.364126-2 5.495409-1 2.617498-2 6.025596-1 2.051447-2 6.606935-1 1.619896-2 7.244360-1 1.289007-2 7.943282-1 1.033434-2 8.912509-1 7.911553-3 9.549926-1 6.782416-3 1.022000+0 5.873699-3 1.122018+0 4.856468-3 1.216186+0 4.149294-3 1.348963+0 3.418659-3 1.531087+0 2.721753-3 1.737801+0 2.179954-3 1.972423+0 1.758572-3 2.213095+0 1.456329-3 2.511886+0 1.192492-3 2.884032+0 9.665684-4 3.349654+0 7.757210-4 3.890451+0 6.272594-4 4.570882+0 5.029811-4 5.432503+0 4.002253-4 6.456542+0 3.208374-4 7.852356+0 2.516661-4 9.660509+0 1.961124-4 1.202264+1 1.519093-4 1.513561+1 1.168655-4 2.000000+1 8.577900-5 2.691535+1 6.217799-5 3.890451+1 4.204666-5 6.000000+1 2.677400-5 1.023293+2 1.547883-5 1.927525+2 8.139632-6 3.845918+2 4.057471-6 1.531087+3 1.015092-6 1.000000+5 1.552100-8 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 4.554500-3 1.751400-4 1.000000+5 1.751400-4 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 4.554500-3 3.475900-4 1.000000+5 3.475900-4 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 4.554500-3 4.031770-3 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.055400-3 7.304330+4 1.135011-3 6.907860+4 1.161449-3 6.751682+4 1.258925-3 6.088485+4 1.531087-3 4.651570+4 1.819701-3 3.611297+4 1.972423-3 3.185573+4 2.371374-3 2.369490+4 2.650000-3 1.966210+4 3.090295-3 1.509573+4 3.672823-3 1.109721+4 4.168694-3 8.803188+3 4.897788-3 6.510903+3 5.821032-3 4.672719+3 7.000000-3 3.247860+3 8.317638-3 2.291870+3 9.885531-3 1.603298+3 1.161449-2 1.139923+3 1.350000-2 8.234740+2 1.584893-2 5.779858+2 1.862087-2 4.019232+2 2.187762-2 2.773681+2 2.570396-2 1.899651+2 3.019952-2 1.291214+2 3.548134-2 8.711309+1 4.168694-2 5.833026+1 4.954502-2 3.765386+1 5.888437-2 2.411853+1 7.000000-2 1.532426+1 8.413951-2 9.388604+0 1.035142-1 5.363809+0 1.333521-1 2.681619+0 2.065380-1 8.025021-1 2.660725-1 4.011636-1 3.162278-1 2.517444-1 3.672823-1 1.692967-1 4.168694-1 1.218539-1 4.731513-1 8.837012-2 5.308844-1 6.647249-2 5.956621-1 5.038351-2 6.606935-1 3.954136-2 7.328245-1 3.124477-2 8.222427-1 2.424395-2 9.120108-1 1.943658-2 1.000000+0 1.608198-2 1.148154+0 1.220540-2 1.258925+0 1.022736-2 1.428894+0 8.073275-3 1.566751+0 6.834394-3 1.757924+0 5.590504-3 2.018366+0 4.428733-3 2.264644+0 3.671906-3 2.570396+0 3.010746-3 2.951209+0 2.443719-3 3.427678+0 1.963391-3 4.000000+0 1.579000-3 4.677351+0 1.275978-3 5.559043+0 1.016333-3 6.606934+0 8.154866-4 8.035261+0 6.402508-4 9.885531+0 4.993226-4 1.244515+1 3.819601-4 1.548817+1 2.980105-4 2.018366+1 2.221986-4 2.754229+1 1.587174-4 4.027170+1 1.060931-4 6.237348+1 6.730101-5 1.083927+2 3.818865-5 2.089296+2 1.963228-5 4.168694+2 9.790003-6 1.659587+3 2.449492-6 1.000000+5 4.061000-8 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.055400-3 1.693900-4 1.000000+5 1.693900-4 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.055400-3 6.838300-7 1.000000+5 6.838300-7 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.055400-3 8.853262-4 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 9.272000-4 1.005679+5 9.392000-4 1.084796+5 9.450000-4 1.102297+5 9.550000-4 1.122283+5 9.600000-4 1.126153+5 9.750000-4 1.126212+5 1.015000-3 1.087291+5 1.035142-3 1.066924+5 1.060000-3 1.047840+5 1.096478-3 1.011168+5 1.174898-3 9.361900+4 1.230269-3 8.856233+4 1.244515-3 8.754443+4 1.350000-3 7.899280+4 1.450000-3 7.168940+4 1.548817-3 6.517193+4 1.659587-3 5.873867+4 1.800000-3 5.151980+4 2.018366-3 4.254168+4 2.162719-3 3.767983+4 2.426610-3 3.047148+4 2.660725-3 2.556977+4 2.951209-3 2.080924+4 3.311311-3 1.643674+4 3.672823-3 1.318359+4 4.120975-3 1.024889+4 4.623810-3 7.899100+3 5.128614-3 6.211902+3 5.821032-3 4.592089+3 6.531306-3 3.463352+3 7.328245-3 2.595376+3 8.317638-3 1.875187+3 9.500000-3 1.322288+3 1.083927-2 9.274146+2 1.230269-2 6.548630+2 1.400000-2 4.558780+2 1.603245-2 3.094985+2 1.862087-2 2.001427+2 2.137962-2 1.328732+2 2.500000-2 8.291020+1 2.951209-2 4.984653+1 3.467369-2 3.017486+1 4.120975-2 1.749266+1 5.011872-2 9.356627+0 6.309573-2 4.444371+0 1.303167-1 4.162154-1 1.640590-1 1.975259-1 1.949845-1 1.137244-1 2.264644-1 7.096785-2 2.600160-1 4.625076-2 3.000060-1 2.990993-2 3.388442-1 2.080064-2 3.801894-1 1.485481-2 4.265795-1 1.068264-2 4.731513-1 7.991348-3 5.248075-1 6.018757-3 5.821032-1 4.566017-3 6.382635-1 3.595533-3 7.079458-1 2.768775-3 7.852356-1 2.148898-3 8.709636-1 1.674334-3 9.332543-1 1.427173-3 9.885531-1 1.256820-3 1.071519+0 1.061551-3 1.161449+0 9.027835-4 1.258925+0 7.738892-4 1.396368+0 6.398940-4 1.659587+0 4.712340-4 1.883649+0 3.790916-4 2.113489+0 3.130575-4 2.398833+0 2.556176-4 2.722701+0 2.102808-4 3.162278+0 1.682899-4 3.672823+0 1.356868-4 4.265795+0 1.102100-4 5.011872+0 8.875525-5 5.956621+0 7.090753-5 7.161434+0 5.623923-5 8.810489+0 4.367592-5 1.083927+1 3.417503-5 1.412538+1 2.520500-5 1.905461+1 1.804945-5 2.454709+1 1.369879-5 3.467369+1 9.472896-6 5.128614+1 6.285251-6 8.609938+1 3.684247-6 1.678804+2 1.867331-6 3.349654+2 9.301850-7 1.333521+3 2.325726-7 1.000000+5 3.096800-9 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 9.272000-4 1.336900-4 1.000000+5 1.336900-4 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 9.272000-4 6.850900-7 1.000000+5 6.850900-7 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 9.272000-4 7.928249-4 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 8.698100-4 2.776651+5 8.745000-4 2.788409+5 8.940000-4 2.802871+5 9.015711-4 2.792769+5 9.280000-4 2.730018+5 1.000000-3 2.530332+5 1.030000-3 2.441416+5 1.135011-3 2.154581+5 1.244515-3 1.898335+5 1.350000-3 1.684616+5 1.462177-3 1.487938+5 1.570000-3 1.325764+5 1.757924-3 1.090836+5 1.927525-3 9.262609+4 2.089296-3 7.969502+4 2.371374-3 6.234131+4 2.600160-3 5.181025+4 2.951209-3 3.978153+4 3.235937-3 3.263200+4 3.672823-3 2.464108+4 4.073803-3 1.944297+4 4.570882-3 1.484138+4 5.128614-3 1.124096+4 5.688529-3 8.702902+3 6.500000-3 6.209320+3 7.413102-3 4.411991+3 8.413951-3 3.149134+3 9.440609-3 2.302295+3 1.059254-2 1.672983+3 1.202264-2 1.169192+3 1.364583-2 8.112276+2 1.548817-2 5.589765+2 1.757924-2 3.826232+2 2.018366-2 2.512337+2 2.344229-2 1.580177+2 2.722701-2 9.858920+1 3.162278-2 6.106665+1 3.715352-2 3.617166+1 4.415704-2 2.047586+1 5.308844-2 1.107338+1 6.531306-2 5.501772+0 8.609938-2 2.145568+0 1.318257-1 4.998710-1 1.678804-1 2.203374-1 1.972423-1 1.285229-1 2.264644-1 8.152310-2 2.570396-1 5.407773-2 2.884032-1 3.748280-2 3.235937-1 2.615957-2 3.589219-1 1.905642-2 3.981072-1 1.398674-2 4.365158-1 1.070267-2 4.786301-1 8.245335-3 5.248075-1 6.396939-3 5.754399-1 4.998552-3 6.309573-1 3.934165-3 6.918310-1 3.119149-3 7.585776-1 2.491284-3 8.511380-1 1.897546-3 9.120108-1 1.621153-3 9.772372-1 1.394034-3 1.059254+0 1.178952-3 1.161449+0 9.802362-4 1.273503+0 8.219703-4 1.412538+0 6.792947-4 1.640590+0 5.205454-4 1.862087+0 4.185562-4 2.113489+0 3.389885-4 2.398833+0 2.767856-4 2.722701+0 2.276984-4 3.162278+0 1.822350-4 3.672823+0 1.469325-4 4.265795+0 1.193437-4 5.011872+0 9.610915-5 5.956621+0 7.678275-5 7.161434+0 6.089934-5 8.810489+0 4.729505-5 1.083927+1 3.700728-5 1.412538+1 2.729292-5 1.927525+1 1.929892-5 2.511886+1 1.447063-5 3.589219+1 9.889490-6 5.432503+1 6.411321-6 9.225714+1 3.717370-6 1.757924+2 1.930101-6 3.507519+2 9.616689-7 1.396368+3 2.404985-7 1.000000+5 3.353400-9 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 8.698100-4 1.308000-4 1.000000+5 1.308000-4 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 8.698100-4 4.923200-7 1.000000+5 4.923200-7 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 8.698100-4 7.385177-4 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 6.414600-4 8.759393+5 6.436000-4 9.829374+5 6.502200-4 1.316129+6 6.505000-4 1.326234+6 6.611000-4 1.504454+6 6.615000-4 1.514254+6 6.678000-4 1.552409+6 6.752300-4 1.524811+6 6.780000-4 1.502502+6 6.850000-4 1.442496+6 7.000000-4 1.261516+6 7.040000-4 1.225980+6 7.100000-4 1.183320+6 7.190000-4 1.132848+6 7.400000-4 1.037368+6 7.500000-4 9.987400+5 7.650000-4 9.499600+5 8.200000-4 8.170751+5 8.222426-4 8.109888+5 8.413951-4 7.715510+5 9.200000-4 6.326240+5 1.000000-3 5.211640+5 1.096478-3 4.167897+5 1.190000-3 3.391552+5 1.333521-3 2.521941+5 1.428894-3 2.094498+5 1.621810-3 1.472592+5 1.778279-3 1.133453+5 2.018366-3 7.826859+4 2.238721-3 5.747046+4 2.570396-3 3.767234+4 2.818383-3 2.826591+4 3.198895-3 1.889683+4 3.589219-3 1.299963+4 4.027170-3 8.884629+3 4.623810-3 5.575783+3 5.300000-3 3.487024+3 6.025596-3 2.225159+3 6.800000-3 1.447304+3 7.673615-3 9.353812+2 8.709636-3 5.878981+2 9.885531-3 3.668805+2 1.122018-2 2.273846+2 1.288250-2 1.339365+2 1.479108-2 7.833277+1 1.737801-2 4.154347+1 2.065380-2 2.087158+1 2.426610-2 1.089452+1 2.917427-2 5.139565+0 3.589219-2 2.189000+0 4.731513-2 6.950788-1 7.585776-2 9.745063-2 9.660509-2 3.585952-2 1.161449-1 1.685738-2 1.364583-1 8.770976-3 1.584893-1 4.816507-3 1.798871-1 2.919365-3 2.018366-1 1.863508-3 2.264644-1 1.198156-3 2.540973-1 7.758901-4 2.851018-1 5.062248-4 3.198895-1 3.328291-4 3.548134-1 2.298082-4 3.935501-1 1.598275-4 4.365158-1 1.119865-4 4.786301-1 8.220344-5 5.248075-1 6.076837-5 5.688529-1 4.695130-5 6.095369-1 3.785639-5 6.606935-1 2.969937-5 7.244360-1 2.268909-5 8.035261-1 1.689090-5 8.609938-1 1.380506-5 9.120108-1 1.175073-5 9.549926-1 1.039622-5 1.000000+0 9.263668-6 1.047129+0 8.320101-6 1.096478+0 7.523355-6 1.148154+0 6.844653-6 1.202264+0 6.261741-6 1.288250+0 5.522330-6 1.412538+0 4.708191-6 1.513561+0 4.189080-6 1.840772+0 2.979967-6 2.044000+0 2.498496-6 2.290868+0 2.076986-6 2.600160+0 1.704191-6 3.000000+0 1.374100-6 3.467369+0 1.112616-6 4.027170+0 9.011922-7 4.731513+0 7.238327-7 5.623413+0 5.768466-7 6.760830+0 4.564440-7 8.222427+0 3.586677-7 1.011579+1 2.799564-7 1.288250+1 2.114972-7 1.603245+1 1.651953-7 2.065380+1 1.248175-7 2.917427+1 8.597860-8 4.265795+1 5.754052-8 6.839116+1 3.525821-8 1.273503+2 1.866937-8 2.540973+2 9.282401-9 1.011579+3 2.316927-9 3.198895+4 7.31268-11 1.000000+5 2.33960-11 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 6.414600-4 7.864200-5 1.000000+5 7.864200-5 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 6.414600-4 2.453600-7 1.000000+5 2.453600-7 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 6.414600-4 5.625726-4 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 6.293100-4 8.839000+4 6.294600-4 9.023538+4 6.297000-4 9.369463+4 6.300000-4 9.893835+4 6.303000-4 1.052767+5 6.306000-4 1.128054+5 6.309000-4 1.216386+5 6.311500-4 1.300906+5 6.315000-4 1.437621+5 6.318500-4 1.598139+5 6.322000-4 1.785283+5 6.326500-4 2.069845+5 6.333500-4 2.624944+5 6.341200-4 3.415600+5 6.350000-4 4.538463+5 6.365000-4 7.323802+5 6.370000-4 8.245043+5 6.385000-4 1.393072+6 6.386500-4 1.435400+6 6.442000-4 1.961651+6 6.447000-4 1.976228+6 6.535000-4 2.197437+6 6.545000-4 2.206120+6 6.622800-4 2.247907+6 6.635000-4 2.246617+6 6.750000-4 2.097579+6 6.850000-4 1.998257+6 6.865000-4 1.958832+6 6.900000-4 1.906344+6 6.950000-4 1.845144+6 7.000000-4 1.795008+6 7.120000-4 1.697088+6 7.328245-4 1.556397+6 7.450000-4 1.488444+6 7.500000-4 1.477802+6 7.900000-4 1.314513+6 7.943282-4 1.290134+6 9.015711-4 9.712633+5 9.772372-4 8.043554+5 1.063000-3 6.558080+5 1.161449-3 5.246026+5 1.300000-3 3.909342+5 1.400000-3 3.201744+5 1.570000-3 2.325012+5 1.737801-3 1.741185+5 1.950000-3 1.241736+5 2.150000-3 9.278400+4 2.426610-3 6.410688+4 2.691535-3 4.641830+4 3.054921-3 3.102870+4 3.427678-3 2.134135+4 3.801894-3 1.515074+4 4.315191-3 9.888678+3 4.897788-3 6.401058+3 5.500000-3 4.269336+3 6.165950-3 2.847100+3 7.000000-3 1.802862+3 8.035261-3 1.087652+3 9.225714-3 6.498548+2 1.047129-2 4.022773+2 1.188502-2 2.472702+2 1.350000-2 1.505406+2 1.531087-2 9.163818+1 1.757924-2 5.280218+1 2.018366-2 3.022808+1 2.371374-2 1.564999+1 2.818383-2 7.670528+0 3.388442-2 3.557487+0 4.265795-2 1.348272+0 8.035261-2 9.207186-2 9.885531-2 3.848182-2 1.174898-1 1.873050-2 1.364583-1 1.010933-2 1.548817-1 6.040172-3 1.757924-1 3.635681-3 1.972423-1 2.307563-3 2.213095-1 1.473982-3 2.454709-1 9.917638-4 2.710800-1 6.837066-4 2.951209-1 5.005212-4 3.198895-1 3.747481-4 3.467369-1 2.824260-4 3.758374-1 2.142838-4 4.073803-1 1.637343-4 4.415705-1 1.260408-4 4.786301-1 9.768550-5 5.188000-1 7.622999-5 5.688529-1 5.786668-5 6.456542-1 3.995150-5 6.918310-1 3.281890-5 7.413102-1 2.713902-5 7.943282-1 2.262989-5 8.511380-1 1.901435-5 9.015711-1 1.655012-5 9.549926-1 1.449436-5 1.011579+0 1.277841-5 1.096478+0 1.080423-5 1.174898+0 9.417474-6 1.273503+0 8.086036-6 1.412538+0 6.694799-6 1.678804+0 4.934853-6 1.905461+0 3.972540-6 2.137962+0 3.282798-6 2.426610+0 2.682627-6 2.754229+0 2.208521-6 3.235937+0 1.739263-6 3.758374+0 1.403964-6 4.365158+0 1.141580-6 5.128614+0 9.202638-7 6.095369+0 7.359352-7 7.413102+0 5.759887-7 9.120108+0 4.478961-7 1.122018+1 3.508917-7 1.445440+1 2.624710-7 1.949845+1 1.880980-7 2.570396+1 1.393275-7 3.672823+1 9.527060-8 5.559043+1 6.179006-8 9.440609+1 3.583868-8 1.798871+2 1.861231-8 3.589219+2 9.274826-9 1.428894+3 2.319724-9 1.000000+5 3.30990-11 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 6.293100-4 7.910400-5 1.000000+5 7.910400-5 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 6.293100-4 1.967700-9 1.000000+5 1.967700-9 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 6.293100-4 5.502040-4 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.910400-4 1.330984+5 1.921000-4 1.360514+5 1.933000-4 1.387772+5 1.950000-4 1.419340+5 1.980000-4 1.462722+5 2.010000-4 1.496270+5 2.041738-4 1.522844+5 2.080000-4 1.544264+5 2.120000-4 1.555188+5 2.162719-4 1.555733+5 2.213095-4 1.545064+5 2.280000-4 1.519224+5 2.575200-4 1.389065+5 2.818383-4 1.305116+5 2.985383-4 1.246111+5 3.162278-4 1.181326+5 3.548134-4 1.050235+5 3.890451-4 9.516447+4 4.216965-4 8.670232+4 4.731513-4 7.516796+4 5.308844-4 6.477513+4 5.888437-4 5.621240+4 6.839116-4 4.541658+4 7.673615-4 3.826285+4 8.912509-4 3.039572+4 1.047129-3 2.350430+4 1.216186-3 1.838023+4 1.428894-3 1.400689+4 1.698244-3 1.039498+4 2.065380-3 7.354948+3 2.511886-3 5.164974+3 3.054921-3 3.602026+3 3.715352-3 2.494356+3 4.500000-3 1.727798+3 5.400000-3 1.209186+3 6.456542-3 8.458770+2 7.762471-3 5.805968+2 9.332543-3 3.953941+2 1.109175-2 2.738194+2 1.318257-2 1.882144+2 1.566751-2 1.283693+2 1.840772-2 8.916367+1 2.162719-2 6.148706+1 2.540973-2 4.209203+1 3.019952-2 2.782262+1 3.548134-2 1.876412+1 4.216965-2 1.220413+1 5.011872-2 7.875656+0 6.000000-2 4.949977+0 7.244360-2 3.015591+0 8.810489-2 1.788500+0 1.059254-1 1.086612+0 1.396368-1 5.094687-1 2.398833-1 1.148338-1 2.884032-1 6.959412-2 3.388442-1 4.521106-2 3.890451-1 3.145750-2 4.415705-1 2.272069-2 5.000000-1 1.663696-2 5.623413-1 1.248868-2 6.237348-1 9.764264-3 6.918310-1 7.686419-3 7.673615-1 6.092464-3 8.609938-1 4.742519-3 9.440609-1 3.907583-3 1.047129+0 3.167494-3 1.174898+0 2.520931-3 1.333521+0 1.982649-3 1.500000+0 1.596000-3 1.678804+0 1.307764-3 1.905461+0 1.053318-3 2.162719+0 8.543786-4 2.454709+0 6.986089-4 2.786121+0 5.754364-4 3.273407+0 4.534066-4 3.801894+0 3.662076-4 4.415704+0 2.979304-4 5.248075+0 2.366915-4 6.237348+0 1.894629-4 7.585776+0 1.484246-4 9.332543+0 1.155128-4 1.161449+1 8.936948-5 1.479108+1 6.779776-5 1.972423+1 4.923694-5 2.600160+1 3.647959-5 3.758374+1 2.465007-5 5.754399+1 1.580461-5 9.772372+1 9.171417-6 1.840772+2 4.820569-6 3.672823+2 2.402474-6 1.462177+3 6.009352-7 1.000000+5 8.774400-9 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.910400-4 7.456100-5 1.000000+5 7.456100-5 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.910400-4 3.194000-9 1.000000+5 3.194000-9 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.910400-4 1.164758-4 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.455300-4 1.477416+5 1.468000-4 1.489126+5 1.485000-4 1.492446+5 1.500000-4 1.488754+5 1.531087-4 1.471031+5 1.584893-4 1.431308+5 1.610000-4 1.402990+5 1.698244-4 1.292058+5 1.757924-4 1.233860+5 1.810000-4 1.195352+5 1.865000-4 1.165606+5 1.930000-4 1.141694+5 2.000000-4 1.125094+5 2.120000-4 1.107968+5 2.580000-4 1.066112+5 2.800000-4 1.042208+5 3.019952-4 1.013047+5 3.280000-4 9.748420+4 3.548134-4 9.331181+4 3.801894-4 8.919856+4 4.100000-4 8.429980+4 4.466836-4 7.843994+4 4.850000-4 7.273060+4 5.248075-4 6.722207+4 5.688529-4 6.161328+4 6.309573-4 5.465416+4 6.918310-4 4.878956+4 7.673615-4 4.257793+4 8.511380-4 3.690493+4 9.440609-4 3.173447+4 1.059254-3 2.663640+4 1.190000-3 2.212800+4 1.333521-3 1.832172+4 1.500000-3 1.496216+4 1.678804-3 1.224312+4 1.905461-3 9.696865+3 2.162719-3 7.619936+3 2.454709-3 5.941988+3 2.786121-3 4.598608+3 3.150000-3 3.561020+3 3.548134-3 2.759938+3 4.000000-3 2.120140+3 4.518559-3 1.609358+3 5.069907-3 1.232213+3 5.754399-3 9.114164+2 6.531306-3 6.689045+2 7.413102-3 4.872031+2 8.413951-3 3.522755+2 9.549926-3 2.529083+2 1.083927-2 1.803026+2 1.230269-2 1.276633+2 1.412538-2 8.693365+1 1.621810-2 5.873579+1 1.862087-2 3.938814+1 2.137962-2 2.622672+1 2.483133-2 1.675392+1 2.884032-2 1.062550+1 3.388442-2 6.458554+0 4.027170-2 3.757721+0 4.897788-2 2.017696+0 6.095369-2 9.989171-1 8.317638-2 3.637356-1 1.288250-1 8.749719-2 1.640590-1 4.008344-2 1.949845-1 2.310147-2 2.290868-1 1.391284-2 2.630268-1 9.071115-3 3.000000-1 6.079432-3 3.388442-1 4.226667-3 3.801894-1 3.017714-3 4.265795-1 2.170216-3 4.731513-1 1.623842-3 5.248075-1 1.223264-3 5.821032-1 9.281195-4 6.456542-1 7.096010-4 7.161434-1 5.468014-4 7.943282-1 4.246939-4 8.709636-1 3.402491-4 9.332543-1 2.900846-4 9.885531-1 2.555149-4 1.071519+0 2.158710-4 1.161449+0 1.835864-4 1.258925+0 1.573650-4 1.396368+0 1.301042-4 1.659587+0 9.580658-5 1.883649+0 7.707550-5 2.137962+0 6.246399-5 2.426610+0 5.103880-5 2.754229+0 4.201344-5 3.235937+0 3.308355-5 3.758374+0 2.670574-5 4.365158+0 2.171517-5 5.188000+0 1.724254-5 6.165950+0 1.379514-5 7.498942+0 1.080186-5 9.225714+0 8.403331-6 1.135011+1 6.586017-6 1.462177+1 4.928303-6 1.949845+1 3.577902-6 2.540973+1 2.683347-6 3.630781+1 1.834460-6 5.432503+1 1.203724-6 9.225714+1 6.979508-7 1.757924+2 3.623797-7 3.507519+2 1.805575-7 1.396368+3 4.515479-8 1.000000+5 6.29610-10 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.455300-4 6.045700-5 1.000000+5 6.045700-5 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.455300-4 3.333300-9 1.000000+5 3.333300-9 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.455300-4 8.506967-5 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.342100-4 3.744794+5 2.113489-4 3.118058+5 2.350000-4 3.000620+5 2.540973-4 2.899822+5 2.730000-4 2.792008+5 2.951209-4 2.659162+5 3.235937-4 2.489562+5 3.507519-4 2.334554+5 3.801894-4 2.172851+5 4.120975-4 2.007699+5 4.570882-4 1.799177+5 5.011872-4 1.620385+5 5.500000-4 1.446668+5 6.095369-4 1.266836+5 6.760830-4 1.100323+5 7.500000-4 9.479720+4 8.413951-4 7.978832+4 9.332543-4 6.780237+4 1.047129-3 5.621195+4 1.174898-3 4.624462+4 1.318257-3 3.778627+4 1.479108-3 3.066401+4 1.659587-3 2.472442+4 1.883649-3 1.936772+4 2.150000-3 1.488640+4 2.454709-3 1.134331+4 2.754229-3 8.899031+3 3.090295-3 6.939223+3 3.467369-3 5.376619+3 3.890451-3 4.139683+3 4.365158-3 3.166084+3 4.954502-3 2.339079+3 5.623413-3 1.714390+3 6.382635-3 1.246624+3 7.244360-3 8.995264+2 8.222426-3 6.442358+2 9.332543-3 4.580400+2 1.059254-2 3.233194+2 1.202264-2 2.266140+2 1.364583-2 1.577297+2 1.548817-2 1.090289+2 1.778279-2 7.231488+1 2.041738-2 4.760055+1 2.344229-2 3.110342+1 2.722701-2 1.946490+1 3.162278-2 1.209035+1 3.672823-2 7.454861+0 4.365158-2 4.233032+0 5.248075-2 2.296530+0 6.237348-2 1.286060+0 8.128305-2 5.228667-1 1.318257-1 1.004015-1 1.678804-1 4.431265-2 1.972423-1 2.586915-2 2.264644-1 1.641614-2 2.570396-1 1.089360-2 2.884032-1 7.554060-3 3.235937-1 5.277005-3 3.589219-1 3.847913-3 3.981072-1 2.826451-3 4.365158-1 2.163159-3 4.786301-1 1.666527-3 5.248075-1 1.292991-3 5.754399-1 1.010463-3 6.309573-1 7.954640-4 6.918310-1 6.308548-4 7.585776-1 5.040142-4 8.511380-1 3.840231-4 9.120108-1 3.281385-4 9.772372-1 2.821962-4 1.059254+0 2.386674-4 1.161449+0 1.984441-4 1.273503+0 1.664063-4 1.412538+0 1.375186-4 1.640590+0 1.053770-4 1.862087+0 8.473000-5 2.113489+0 6.862255-5 2.398833+0 5.603050-5 2.722701+0 4.609355-5 3.162278+0 3.689014-5 3.672823+0 2.974368-5 4.265795+0 2.415905-5 5.011872+0 1.945590-5 5.956621+0 1.554348-5 7.161434+0 1.232808-5 8.810489+0 9.574064-6 1.083927+1 7.491475-6 1.412538+1 5.525001-6 1.927525+1 3.906772-6 2.511886+1 2.929216-6 3.589219+1 2.002066-6 5.370318+1 1.313429-6 9.120108+1 7.614288-7 1.757924+2 3.907021-7 3.507519+2 1.946749-7 1.396368+3 4.868499-8 1.000000+5 6.78830-10 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.342100-4 6.082400-5 1.000000+5 6.082400-5 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.342100-4 1.812600-9 1.000000+5 1.812600-9 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.342100-4 7.338419-5 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 6.004000-5 7.358720+5 6.040000-5 7.639800+5 6.070000-5 7.919960+5 6.095369-5 8.195262+5 6.130000-5 8.642480+5 6.157000-5 9.050120+5 6.190000-5 9.634840+5 6.220000-5 1.025308+6 6.250000-5 1.096680+6 6.280000-5 1.179048+6 6.315000-5 1.290980+6 6.350000-5 1.422244+6 6.385000-5 1.575664+6 6.421000-5 1.760070+6 6.465000-5 2.028232+6 6.500000-5 2.280836+6 6.540000-5 2.619184+6 6.595000-5 3.188156+6 6.650000-5 3.903072+6 6.710000-5 4.889600+6 6.900000-5 1.003864+7 6.950000-5 1.204712+7 7.000000-5 1.435312+7 7.030000-5 1.586652+7 7.070000-5 1.800528+7 7.100000-5 1.967140+7 7.130000-5 2.135284+7 7.161434-5 2.309566+7 7.190000-5 2.462008+7 7.220000-5 2.611584+7 7.250000-5 2.745752+7 7.277000-5 2.850868+7 7.300000-5 2.926780+7 7.328245-5 3.000705+7 7.350000-5 3.043452+7 7.380000-5 3.080812+7 7.410000-5 3.095096+7 7.435000-5 3.090400+7 7.470000-5 3.060568+7 7.500000-5 3.017428+7 7.540000-5 2.939352+7 7.585776-5 2.829293+7 7.635000-5 2.695900+7 7.703700-5 2.499355+7 7.800000-5 2.229092+7 8.035261-5 1.681820+7 8.150000-5 1.476540+7 8.300000-5 1.256548+7 8.450000-5 1.078704+7 8.650000-5 8.891320+6 9.440609-5 4.387603+6 9.900000-5 2.969316+6 1.040000-4 1.966740+6 1.109175-4 1.138503+6 1.220000-4 5.036040+5 1.258925-4 3.869319+5 1.288250-4 3.210925+5 1.307000-4 2.869548+5 1.322000-4 2.634684+5 1.340000-4 2.392428+5 1.358000-4 2.188384+5 1.373000-4 2.044192+5 1.390000-4 1.906000+5 1.407000-4 1.791680+5 1.423000-4 1.703448+5 1.440000-4 1.627964+5 1.452400-4 1.583542+5 1.465000-4 1.546700+5 1.480000-4 1.512728+5 1.496236-4 1.486824+5 1.513561-4 1.470197+5 1.531087-4 1.463530+5 1.550000-4 1.466280+5 1.570000-4 1.478836+5 1.590000-4 1.499816+5 1.610000-4 1.527892+5 1.640590-4 1.581979+5 1.678804-4 1.663883+5 1.737801-4 1.810396+5 1.840772-4 2.089723+5 1.905461-4 2.264402+5 1.972423-4 2.436580+5 2.041738-4 2.601274+5 2.100000-4 2.727152+5 2.162719-4 2.848750+5 2.240000-4 2.978052+5 2.317395-4 3.084938+5 2.400000-4 3.175424+5 2.483133-4 3.244371+5 2.580000-4 3.300644+5 2.691535-4 3.338622+5 2.800000-4 3.352568+5 2.917427-4 3.346336+5 3.054921-4 3.316065+5 3.200000-4 3.262904+5 3.350000-4 3.190024+5 3.507519-4 3.098957+5 3.715352-4 2.965418+5 3.935501-4 2.817398+5 4.168694-4 2.659021+5 4.430000-4 2.483784+5 4.700000-4 2.308812+5 5.011872-4 2.117186+5 5.400000-4 1.899736+5 5.800000-4 1.700108+5 6.237348-4 1.507259+5 6.700000-4 1.329340+5 7.328245-4 1.126588+5 7.943282-4 9.631782+4 8.609938-4 8.176842+4 9.500000-4 6.639040+4 1.047129-3 5.352594+4 1.150000-3 4.316240+4 1.244515-3 3.580506+4 1.364583-3 2.861244+4 1.500000-3 2.257736+4 1.659587-3 1.739988+4 1.840772-3 1.322720+4 2.041738-3 9.979537+3 2.264644-3 7.476876+3 2.511886-3 5.562722+3 2.786121-3 4.109886+3 3.090295-3 3.015478+3 3.427678-3 2.197260+3 3.801894-3 1.590251+3 4.216965-3 1.143188+3 4.731513-3 7.861371+2 5.308844-3 5.364512+2 5.956621-3 3.633420+2 6.683439-3 2.442877+2 7.585776-3 1.566452+2 8.609938-3 9.966609+1 9.772372-3 6.292355+1 1.109175-2 3.942882+1 1.258925-2 2.452882+1 1.428894-2 1.515427+1 1.640590-2 8.892833+0 1.905461-2 4.950849+0 2.238721-2 2.614488+0 2.600160-2 1.434721+0 3.126079-2 6.792283-1 3.801894-2 3.046135-1 5.069907-2 9.276312-2 8.035261-2 1.377706-2 1.000000-1 5.599733-3 1.202264-1 2.642494-3 1.412538-1 1.379805-3 1.640590-1 7.604140-4 1.883649-1 4.420988-4 2.137962-1 2.709286-4 2.398833-1 1.747917-4 2.691535-1 1.135825-4 3.000000-1 7.620400-5 3.311311-1 5.333404-5 3.672823-1 3.693745-5 4.027170-1 2.682386-5 4.466836-1 1.887085-5 4.954502-1 1.338181-5 5.432503-1 9.917313-6 5.956621-1 7.402823-6 6.456542-1 5.778489-6 6.998420-1 4.541102-6 7.673615-1 3.474560-6 8.035261-1 3.046515-6 8.609938-1 2.493893-6 9.120108-1 2.125616-6 9.549926-1 1.882057-6 1.000000+0 1.677500-6 1.047129+0 1.506550-6 1.096478+0 1.362819-6 1.148154+0 1.240578-6 1.216186+0 1.111358-6 1.318257+0 9.614384-7 1.548817+0 7.285372-7 1.840772+0 5.396073-7 2.065380+0 4.447476-7 2.317395+0 3.692801-7 2.630268+0 3.031963-7 3.019952+0 2.463871-7 3.507519+0 1.981841-7 4.073803+0 1.606168-7 4.786301+0 1.290731-7 5.688529+0 1.029145-7 6.839116+0 8.147409-8 8.317638+0 6.404817-8 1.023293+1 5.001284-8 1.318257+1 3.730276-8 1.659587+1 2.878163-8 2.187762+1 2.122450-8 3.090295+1 1.464325-8 4.570882+1 9.693771-9 7.498942+1 5.807429-9 1.479108+2 2.904012-9 2.951209+2 1.445481-9 1.174898+3 3.61177-10 1.000000+5 4.23650-12 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 6.004000-5 3.046200-5 1.000000+5 3.046200-5 1 53000 7 7 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 6.004000-5 2.335400-9 1.000000+5 2.335400-9 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 6.004000-5 2.957566-5 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 5.826000-5 1.150548+6 5.870000-5 1.202352+6 5.900000-5 1.245996+6 5.930000-5 1.297608+6 5.960000-5 1.358982+6 5.992000-5 1.435938+6 6.025596-5 1.532008+6 6.060000-5 1.648326+6 6.095369-5 1.789626+6 6.130000-5 1.952598+6 6.165950-5 2.151375+6 6.200000-5 2.371662+6 6.240000-5 2.676360+6 6.280000-5 3.038736+6 6.318900-5 3.455737+6 6.370000-5 4.118490+6 6.420000-5 4.918722+6 6.480000-5 6.122460+6 6.540000-5 7.654020+6 6.730000-5 1.556028+7 6.785000-5 1.894080+7 6.830000-5 2.209134+7 6.870000-5 2.514660+7 6.900000-5 2.755884+7 6.935000-5 3.044988+7 6.960000-5 3.252522+7 6.985000-5 3.457326+7 7.015000-5 3.694206+7 7.040000-5 3.879882+7 7.070000-5 4.083294+7 7.100000-5 4.260006+7 7.130000-5 4.405548+7 7.160000-5 4.516848+7 7.190000-5 4.592640+7 7.220000-5 4.633044+7 7.250000-5 4.639980+7 7.277000-5 4.620138+7 7.300000-5 4.585734+7 7.330000-5 4.520154+7 7.365000-5 4.419114+7 7.400000-5 4.298022+7 7.450000-5 4.102038+7 7.502500-5 3.880893+7 7.580000-5 3.550200+7 7.900000-5 2.423352+7 8.035261-5 2.082531+7 8.150000-5 1.842132+7 8.350000-5 1.503762+7 8.650000-5 1.129218+7 9.225714-5 6.716403+6 9.650000-5 4.639602+6 1.011579-4 3.123527+6 1.060000-4 2.095968+6 1.202264-4 7.045920+5 1.230269-4 5.797186+5 1.258925-4 4.798979+5 1.280000-4 4.212450+5 1.300000-4 3.752748+5 1.318257-4 3.404213+5 1.335000-4 3.136680+5 1.350000-4 2.934456+5 1.365000-4 2.763822+5 1.380384-4 2.618183+5 1.396368-4 2.494991+5 1.412538-4 2.396305+5 1.428894-4 2.319997+5 1.445440-4 2.264087+5 1.462177-4 2.226706+5 1.480000-4 2.205468+5 1.496236-4 2.200690+5 1.513561-4 2.208904+5 1.531087-4 2.229348+5 1.550000-4 2.263128+5 1.570000-4 2.310042+5 1.600000-4 2.397810+5 1.640590-4 2.541163+5 1.778279-4 3.124153+5 1.840772-4 3.397023+5 1.906500-4 3.671713+5 1.972423-4 3.928276+5 2.040000-4 4.167006+5 2.100000-4 4.356078+5 2.162719-4 4.529682+5 2.238721-4 4.707378+5 2.317395-4 4.855545+5 2.400000-4 4.975416+5 2.483133-4 5.063182+5 2.580000-4 5.129322+5 2.691535-4 5.165165+5 2.818383-4 5.164224+5 2.951209-4 5.125963+5 3.100000-4 5.046510+5 3.235937-4 4.946403+5 3.388442-4 4.811258+5 3.550000-4 4.651446+5 3.758374-4 4.431777+5 4.000000-4 4.170456+5 4.265795-4 3.887584+5 4.518559-4 3.626480+5 4.786301-4 3.361179+5 5.150000-4 3.028656+5 5.500000-4 2.739426+5 5.900000-4 2.446392+5 6.309573-4 2.180387+5 6.850000-4 1.879680+5 7.413102-4 1.617610+5 8.000000-4 1.391016+5 8.810489-4 1.138304+5 9.700000-4 9.239940+4 1.047129-3 7.778381+4 1.150000-3 6.257760+4 1.270000-3 4.931046+4 1.412538-3 3.786779+4 1.566751-3 2.904356+4 1.737801-3 2.210679+4 1.927525-3 1.670207+4 2.137962-3 1.252971+4 2.371374-3 9.332235+3 2.630268-3 6.901693+3 2.917427-3 5.068516+3 3.235937-3 3.696422+3 3.589219-3 2.677331+3 4.000000-3 1.897002+3 4.466836-3 1.325445+3 5.011872-3 9.047736+2 5.623413-3 6.127255+2 6.309573-3 4.119423+2 7.079458-3 2.750153+2 8.000000-3 1.776900+2 9.015711-3 1.151114+2 1.023293-2 7.213033+1 1.161449-2 4.484288+1 1.318257-2 2.766983+1 1.500000-2 1.678668+1 1.717908-2 9.855502+0 1.972423-2 5.687788+0 2.290868-2 3.111633+0 2.691535-2 1.609680+0 3.198895-2 7.881042-1 3.935501-2 3.317481-1 5.248075-2 9.880181-2 8.222426-2 1.487054-2 1.011580-1 6.241163-3 1.202264-1 3.046949-3 1.396368-1 1.648645-3 1.603245-1 9.423601-4 1.798871-1 5.952922-4 2.018366-1 3.787758-4 2.238721-1 2.538894-4 2.483133-1 1.714561-4 2.722701-1 1.217929-4 3.000000-1 8.561800-5 3.273407-1 6.280810-5 3.589219-1 4.562070-5 3.935501-1 3.339517-5 4.315191-1 2.462639-5 4.677351-1 1.899721-5 5.069907-1 1.476212-5 5.495409-1 1.156355-5 5.956621-1 9.124410-6 6.456542-1 7.247955-6 6.998420-1 5.798477-6 7.585776-1 4.673141-6 8.413951-1 3.572039-6 8.912509-1 3.093022-6 9.440609-1 2.694886-6 1.000000+0 2.365000-6 1.071519+0 2.040242-6 1.148154+0 1.772911-6 1.216186+0 1.586987-6 1.348963+0 1.311972-6 1.621810+0 9.465163-7 1.862087+0 7.456686-7 2.089296+0 6.152628-7 2.344229+0 5.111880-7 2.660725+0 4.199953-7 3.090295+0 3.357541-7 3.589219+0 2.703875-7 4.168694+0 2.193760-7 4.897788+0 1.764831-7 5.821032+0 1.408578-7 7.000000+0 1.115900-7 8.511380+0 8.781741-8 1.047129+1 6.862999-8 1.348963+1 5.122554-8 1.757924+1 3.805517-8 2.317395+1 2.811417-8 3.273407+1 1.941985-8 4.786301+1 1.302598-8 7.943282+1 7.717520-9 1.566751+2 3.862204-9 3.126079+2 1.923242-9 1.244515+3 4.80686-10 7.852356+4 7.60568-12 1.000000+5 5.97280-12 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 5.826000-5 3.081500-5 1.000000+5 3.081500-5 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 5.826000-5 2.744500-5 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 2.101000-5 1.349858+5 2.120000-5 1.255914+5 2.180000-5 9.930520+4 2.344229-5 5.272641+4 2.380000-5 4.637340+4 2.410000-5 4.186900+4 2.435000-5 3.863660+4 2.460000-5 3.584000+4 2.485000-5 3.344340+4 2.511886-5 3.127825+4 2.535000-5 2.973200+4 2.557000-5 2.851100+4 2.581400-5 2.742040+4 2.607000-5 2.655320+4 2.630268-5 2.599209+4 2.650000-5 2.567200+4 2.670000-5 2.548460+4 2.692000-5 2.542600+4 2.720000-5 2.555760+4 2.742000-5 2.581120+4 2.765000-5 2.620340+4 2.790000-5 2.676640+4 2.818383-5 2.756250+4 2.851018-5 2.866326+4 2.885000-5 2.999360+4 2.937300-5 3.235667+4 3.150000-5 4.453920+4 3.235937-5 5.008228+4 3.311311-5 5.504702+4 3.388442-5 6.013237+4 3.470000-5 6.544260+4 3.548134-5 7.041137+4 3.630781-5 7.549690+4 3.730000-5 8.132540+4 3.830000-5 8.685720+4 3.935501-5 9.229318+4 4.030000-5 9.680100+4 4.150000-5 1.020264+5 4.265795-5 1.065442+5 4.415704-5 1.116501+5 4.570882-5 1.160998+5 4.731513-5 1.198794+5 4.900000-5 1.230252+5 5.080000-5 1.255612+5 5.300000-5 1.276524+5 5.500000-5 1.287318+5 5.754399-5 1.291762+5 6.025596-5 1.287446+5 6.309573-5 1.275383+5 6.683439-5 1.251070+5 7.079458-5 1.218599+5 7.585776-5 1.171526+5 8.128305-5 1.118377+5 8.810489-5 1.051881+5 9.660509-5 9.730185+4 1.059254-4 8.934734+4 1.161449-4 8.146562+4 1.273503-4 7.376392+4 1.412538-4 6.549402+4 1.650000-4 5.427740+4 2.089296-4 4.044169+4 2.371374-4 3.432866+4 2.691535-4 2.892973+4 3.200000-4 2.270780+4 3.758374-4 1.801889+4 4.731513-4 1.279875+4 5.500000-4 1.017978+4 6.531306-4 7.765648+3 7.673615-4 5.981106+3 9.332543-4 4.325723+3 1.122018-3 3.163994+3 1.364583-3 2.252557+3 1.698244-3 1.528795+3 2.113489-3 1.028111+3 2.630268-3 6.866988+2 3.235937-3 4.650550+2 4.000000-3 3.097458+2 4.897788-3 2.084602+2 6.025596-3 1.379614+2 7.328245-3 9.288933+1 8.810489-3 6.354562+1 1.035142-2 4.525961+1 1.230269-2 3.119039+1 1.462177-2 2.132570+1 1.737801-2 1.446873+1 2.041738-2 1.000120+1 2.398833-2 6.863102+0 2.818383-2 4.676046+0 3.340000-2 3.097141+0 3.935501-2 2.063593+0 4.677351-2 1.335562+0 5.559043-2 8.578387-1 6.531306-2 5.635513-1 7.943282-2 3.355918-1 9.772372-2 1.923160-1 1.230269-1 1.026035-1 2.426610-1 1.582514-2 2.917427-1 9.595485-3 3.427678-1 6.237256-3 3.935501-1 4.342686-3 4.466836-1 3.138843-3 5.011872-1 2.352761-3 5.623413-1 1.776590-3 6.237348-1 1.389101-3 6.918310-1 1.093585-3 7.673615-1 8.669016-4 8.609938-1 6.749834-4 9.440609-1 5.562537-4 1.059254+0 4.406358-4 1.174898+0 3.589057-4 1.333521+0 2.822678-4 1.500000+0 2.272100-4 1.678804+0 1.861787-4 1.905461+0 1.499555-4 2.162719+0 1.216284-4 2.454709+0 9.945145-5 2.786121+0 8.191753-5 3.273407+0 6.454649-5 3.801894+0 5.213327-5 4.415704+0 4.241327-5 5.248075+0 3.369535-5 6.237348+0 2.697227-5 7.585776+0 2.112952-5 9.332543+0 1.644430-5 1.161449+1 1.272286-5 1.479108+1 9.651739-6 1.972423+1 7.009303-6 2.600160+1 5.193157-6 3.758374+1 3.509188-6 5.688529+1 2.276932-6 9.772372+1 1.305630-6 1.840772+2 6.862544-7 3.672823+2 3.420127-7 1.462177+3 8.554842-8 1.000000+5 1.249100-9 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 2.101000-5 2.101000-5 1.000000+5 2.101000-5 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 2.101000-5 0.0 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 1.077000-5 3.272573+7 1.100000-5 3.208823+7 1.122018-5 3.133955+7 1.152000-5 3.013856+7 1.175000-5 2.911489+7 1.202264-5 2.782462+7 1.240000-5 2.596055+7 1.273503-5 2.429659+7 1.310000-5 2.250688+7 1.350000-5 2.062087+7 1.400000-5 1.842904+7 1.450000-5 1.643785+7 1.513561-5 1.420306+7 1.603245-5 1.157879+7 1.737801-5 8.617043+6 2.213095-5 3.498205+6 2.500000-5 2.236871+6 2.754229-5 1.578052+6 3.090295-5 1.050096+6 3.507519-5 6.762789+5 4.000000-5 4.318809+5 4.466836-5 2.982914+5 4.900000-5 2.202254+5 5.300000-5 1.714937+5 5.650000-5 1.408334+5 6.000000-5 1.178809+5 6.309573-5 1.022134+5 6.650000-5 8.868668+4 7.000000-5 7.780116+4 7.328245-5 6.967023+4 7.673615-5 6.275139+4 8.035261-5 5.688033+4 8.413951-5 5.187861+4 8.810489-5 4.758970+4 9.332543-5 4.304656+4 9.900000-5 3.915558+4 1.047129-4 3.602257+4 1.109175-4 3.327192+4 1.190000-4 3.042339+4 1.273503-4 2.810059+4 1.380384-4 2.576741+4 1.513561-4 2.352439+4 1.678804-4 2.138792+4 2.113489-4 1.752247+4 2.454709-4 1.534735+4 2.754229-4 1.376147+4 3.090295-4 1.225217+4 3.507519-4 1.070710+4 4.027170-4 9.166297+3 4.570882-4 7.902133+3 5.128614-4 6.860080+3 5.754399-4 5.913328+3 6.382635-4 5.137440+3 7.161434-4 4.361850+3 8.222426-4 3.554319+3 9.225714-4 2.978629+3 1.047129-3 2.432921+3 1.188502-3 1.971651+3 1.348963-3 1.585765+3 1.531087-3 1.266173+3 1.737801-3 1.004035+3 1.972423-3 7.905444+2 2.238721-3 6.181919+2 2.540973-3 4.800123+2 2.884032-3 3.700448+2 3.273407-3 2.831963+2 3.715352-3 2.151231+2 4.216965-3 1.621726+2 4.786301-3 1.213149+2 4.954502-3 1.119310+2 5.188000-3 1.009420+2 5.495409-3 8.813976+1 6.839116-3 5.144037+1 7.762471-3 3.737526+1 8.810489-3 2.696183+1 1.000000-2 1.931342+1 1.135011-2 1.373977+1 1.303167-2 9.403964+0 1.496236-2 6.385935+0 1.717908-2 4.302641+0 1.972423-2 2.877956+0 2.290868-2 1.846885+0 2.660725-2 1.176239+0 3.126079-2 7.179448-1 3.672823-2 4.348574-1 4.415704-2 2.431979-1 5.432503-2 1.254462-1 6.606934-2 6.668660-2 1.318257-1 7.039287-3 1.678804-1 3.227511-3 2.000000-1 1.848100-3 2.344229-1 1.122661-3 2.691535-1 7.327999-4 3.054921-1 4.989849-4 3.467369-1 3.422646-4 3.890451-1 2.446816-4 4.365158-1 1.762374-4 4.841724-1 1.320692-4 5.370318-1 9.964621-5 5.956621-1 7.572599-5 6.606935-1 5.799660-5 7.328245-1 4.476837-5 8.511380-1 3.115070-5 9.120108-1 2.650291-5 9.660509-1 2.329220-5 1.023293+0 2.059436-5 1.109175+0 1.744795-5 1.188600+0 1.521900-5 1.303167+0 1.279734-5 1.445440+0 1.060503-5 1.698244+0 7.981339-6 1.927525+0 6.428955-6 2.162719+0 5.315913-6 2.454709+0 4.346699-6 2.786121+0 3.580314-6 3.273407+0 2.821093-6 3.801894+0 2.278582-6 4.466836+0 1.825042-6 5.308844+0 1.450661-6 6.309573+0 1.161777-6 7.673615+0 9.105279-7 9.440609+0 7.089393-7 1.174898+1 5.487023-7 1.500000+1 4.152400-7 1.972423+1 3.063481-7 2.600160+1 2.269750-7 3.758374+1 1.533718-7 5.754399+1 9.833636-8 9.772372+1 5.706434-8 1.862087+2 2.964653-8 3.715352+2 1.477558-8 1.479108+3 3.696158-9 1.000000+5 5.45940-11 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 1.077000-5 1.077000-5 1.000000+5 1.077000-5 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.077000-5 0.0 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 9.630000-6 6.940658+7 9.900000-6 6.706460+7 1.011579-5 6.498645+7 1.042000-5 6.177394+7 1.071519-5 5.846101+7 1.100000-5 5.519861+7 1.135011-5 5.117005+7 1.174898-5 4.671536+7 1.216186-5 4.233543+7 1.258925-5 3.812130+7 1.310000-5 3.356230+7 1.365000-5 2.923944+7 1.428894-5 2.493403+7 1.513561-5 2.026987+7 1.640590-5 1.504463+7 2.143000-5 5.507426+6 2.400000-5 3.622796+6 2.660725-5 2.492086+6 2.917427-5 1.796491+6 3.198895-5 1.303856+6 3.507519-5 9.530713+5 3.801894-5 7.295221+5 4.073803-5 5.836497+5 4.365158-5 4.700841+5 4.650000-5 3.884163+5 4.900000-5 3.336763+5 5.188000-5 2.848225+5 5.432503-5 2.522726+5 5.688529-5 2.248243+5 5.956621-5 2.016701+5 6.237348-5 1.821000+5 6.531306-5 1.655166+5 6.839116-5 1.514237+5 7.161434-5 1.393870+5 7.500000-5 1.290015+5 7.943282-5 1.179965+5 8.413951-5 1.086471+5 9.015711-5 9.911068+4 9.800000-5 8.944458+4 1.080000-4 8.005092+4 1.202264-4 7.139103+4 1.364583-4 6.283884+4 2.137962-4 4.089291+4 2.426610-4 3.601837+4 2.691535-4 3.225162+4 3.000000-4 2.853600+4 3.427678-4 2.435982+4 3.935501-4 2.051796+4 4.518559-4 1.716725+4 5.128614-4 1.447692+4 5.754399-4 1.231764+4 6.382635-4 1.057943+4 7.244360-4 8.713650+3 8.317638-4 6.994219+3 9.440609-4 5.674656+3 1.071519-3 4.570606+3 1.216186-3 3.655661+3 1.380384-3 2.903541+3 1.566751-3 2.290257+3 1.778279-3 1.794116+3 2.018366-3 1.395802+3 2.290868-3 1.078594+3 2.600160-3 8.276782+2 2.951209-3 6.306479+2 3.349654-3 4.771515+2 3.801894-3 3.583636+2 4.315191-3 2.671058+2 4.841724-3 2.030688+2 5.495409-3 1.490679+2 6.237348-3 1.085760+2 7.079458-3 7.847157+1 8.035261-3 5.629058+1 9.120108-3 4.008662+1 1.035142-2 2.834241+1 1.174898-2 1.989761+1 1.333521-2 1.387183+1 1.513561-2 9.604501+0 1.737801-2 6.381134+0 2.000000-2 4.176961+0 2.290868-2 2.753298+0 2.660725-2 1.725687+0 3.090295-2 1.073389+0 3.548134-2 6.879566-1 4.168694-2 4.064136-1 5.011872-2 2.209461-1 6.095369-2 1.147516-1 7.852356-2 4.860804-2 1.333521-1 7.994999-3 1.698244-1 3.531663-3 2.000000-1 2.047000-3 2.290868-1 1.310149-3 2.600160-1 8.701038-4 2.917427-1 6.038861-4 3.273407-1 4.222849-4 3.630781-1 3.082396-4 4.027170-1 2.266694-4 4.415705-1 1.736591-4 4.841724-1 1.339353-4 5.308844-1 1.040299-4 5.821032-1 8.139047-5 6.382635-1 6.416185-5 6.998420-1 5.096641-5 7.673615-1 4.078987-5 8.511380-1 3.197893-5 9.225714-1 2.665408-5 9.885531-1 2.296106-5 1.083927+0 1.900157-5 1.188600+0 1.583200-5 1.303167+0 1.329045-5 1.445440+0 1.099900-5 1.678804+0 8.440594-6 1.905461+0 6.795784-6 2.137962+0 5.615676-6 2.426610+0 4.588520-6 2.754229+0 3.777171-6 3.235937+0 2.974351-6 3.758374+0 2.400923-6 4.365158+0 1.952233-6 5.188000+0 1.550138-6 6.165950+0 1.240253-6 7.498942+0 9.711491-7 9.225714+0 7.554945-7 1.135011+1 5.921061-7 1.462177+1 4.430732-7 1.949845+1 3.216675-7 2.570396+1 2.382684-7 3.715352+1 1.609608-7 5.623413+1 1.044176-7 9.549926+1 6.057275-8 1.819701+2 3.146164-8 3.630781+2 1.567934-8 1.445440+3 3.921646-9 1.000000+5 5.66040-11 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 9.630000-6 9.630000-6 1.000000+5 9.630000-6 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 9.630000-6 0.0 1.000000+5 1.000000+5 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.843470-7 1.027500+0 1.001340-6 1.028100+0 1.363300-6 1.028750+0 1.843470-6 1.029500+0 2.522840-6 1.030100+0 3.172770-6 1.031000+0 4.341440-6 1.032000+0 5.940170-6 1.033200+0 8.321180-6 1.034000+0 1.021500-5 1.035300+0 1.386540-5 1.036640+0 1.843470-5 1.038200+0 2.487820-5 1.039700+0 3.232180-5 1.041500+0 4.300370-5 1.043800+0 5.969060-5 1.046400+0 8.304820-5 1.048300+0 1.033970-4 1.051200+0 1.402560-4 1.054080+0 1.843470-4 1.057700+0 2.512780-4 1.061100+0 3.268500-4 1.065100+0 4.327160-4 1.070400+0 6.036880-4 1.076200+0 8.342990-4 1.080600+0 1.041900-3 1.087100+0 1.403780-3 1.093710+0 1.843470-3 1.102600+0 2.555810-3 1.110700+0 3.333070-3 1.120600+0 4.458260-3 1.133300+0 6.198270-3 1.147500+0 8.557330-3 1.158200+0 1.063450-2 1.174100+0 1.421480-2 1.190110+0 1.843470-2 1.205100+0 2.295600-2 1.227500+0 3.073420-2 1.250000+0 3.969000-2 1.265600+0 4.648540-2 1.294900+0 6.038660-2 1.320600+0 7.361450-2 1.343000+0 8.580600-2 1.382200+0 1.083570-1 1.433800+0 1.399800-1 1.500000+0 1.836000-1 1.589800+0 2.492350-1 1.665000+0 3.097580-1 1.784700+0 4.148350-1 1.892300+0 5.157510-1 2.000000+0 6.193000-1 2.044000+0 6.615000-1 2.163500+0 7.764590-1 2.372600+0 9.777570-1 2.647100+0 1.237930+0 3.000000+0 1.561000+0 3.500000+0 1.992260+0 4.000000+0 2.393000+0 4.750000+0 2.940920+0 5.000000+0 3.110000+0 6.000000+0 3.728000+0 7.000000+0 4.278000+0 8.000000+0 4.772000+0 9.000000+0 5.221000+0 1.000000+1 5.632000+0 1.100000+1 6.011000+0 1.200000+1 6.362000+0 1.300000+1 6.688000+0 1.400000+1 6.988000+0 1.500000+1 7.267000+0 1.600000+1 7.525000+0 1.800000+1 7.996000+0 2.000000+1 8.419000+0 2.200000+1 8.802000+0 2.400000+1 9.150000+0 2.600000+1 9.468000+0 2.800000+1 9.758000+0 3.000000+1 1.003000+1 4.000000+1 1.111000+1 5.000000+1 1.192000+1 6.000000+1 1.255000+1 8.000000+1 1.347000+1 1.000000+2 1.413000+1 1.500000+2 1.518000+1 2.000000+2 1.581000+1 3.000000+2 1.654000+1 4.000000+2 1.696000+1 5.000000+2 1.723000+1 6.000000+2 1.743000+1 8.000000+2 1.769000+1 1.000000+3 1.786000+1 1.500000+3 1.811000+1 2.000000+3 1.825000+1 3.000000+3 1.839000+1 4.000000+3 1.847000+1 5.000000+3 1.852000+1 6.000000+3 1.855000+1 8.000000+3 1.860000+1 1.000000+4 1.863000+1 1.500000+4 1.867000+1 2.000000+4 1.869000+1 3.000000+4 1.871000+1 4.000000+4 1.872000+1 5.000000+4 1.873000+1 6.000000+4 1.873000+1 8.000000+4 1.874000+1 1.000000+5 1.874000+1 1 53000 7 8 1.269040+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 5.316080-7 2.099900+0 1.245100-6 2.106600+0 1.732040-6 2.114000+0 2.396490-6 2.119500+0 2.983620-6 2.127900+0 4.046350-6 2.136250+0 5.316080-6 2.147000+0 7.288720-6 2.156900+0 9.467170-6 2.169000+0 1.263450-5 2.184500+0 1.756240-5 2.201800+0 2.429810-5 2.214800+0 3.027360-5 2.234200+0 4.072330-5 2.253680+0 5.316080-5 2.281500+0 7.446110-5 2.307000+0 9.780430-5 2.338200+0 1.315060-4 2.377400+0 1.821200-4 2.410200+0 2.316270-4 2.446800+0 2.946420-4 2.485900+0 3.709710-4 2.532900+0 4.747630-4 2.556430+0 5.316080-4 2.611900+0 6.778620-4 2.660400+0 8.195010-4 2.745300+0 1.096850-3 2.809000+0 1.328360-3 2.904500+0 1.711260-3 3.000000+0 2.136000-3 3.125000+0 2.754200-3 3.234400+0 3.351110-3 3.425800+0 4.512320-3 3.569300+0 5.471240-3 3.784700+0 7.032600-3 4.000000+0 8.711000-3 4.250000+0 1.076310-2 4.625000+0 1.398800-2 5.000000+0 1.734000-2 5.500000+0 2.193920-2 6.000000+0 2.660000-2 6.750000+0 3.353810-2 7.000000+0 3.582000-2 8.000000+0 4.474000-2 9.000000+0 5.328000-2 1.000000+1 6.138000-2 1.100000+1 6.904000-2 1.200000+1 7.627000-2 1.300000+1 8.307000-2 1.400000+1 8.954000-2 1.500000+1 9.566000-2 1.600000+1 1.015000-1 1.800000+1 1.122000-1 2.000000+1 1.220000-1 2.200000+1 1.310000-1 2.400000+1 1.392000-1 2.600000+1 1.468000-1 2.800000+1 1.538000-1 3.000000+1 1.604000-1 4.000000+1 1.874000-1 5.000000+1 2.079000-1 6.000000+1 2.242000-1 8.000000+1 2.486000-1 1.000000+2 2.664000-1 1.500000+2 2.959000-1 2.000000+2 3.143000-1 3.000000+2 3.369000-1 4.000000+2 3.505000-1 5.000000+2 3.597000-1 6.000000+2 3.665000-1 8.000000+2 3.759000-1 1.000000+3 3.821000-1 1.500000+3 3.913000-1 2.000000+3 3.965000-1 3.000000+3 4.022000-1 4.000000+3 4.055000-1 5.000000+3 4.076000-1 6.000000+3 4.090000-1 8.000000+3 4.109000-1 1.000000+4 4.121000-1 1.500000+4 4.137000-1 2.000000+4 4.147000-1 3.000000+4 4.156000-1 4.000000+4 4.162000-1 5.000000+4 4.165000-1 6.000000+4 4.167000-1 8.000000+4 4.170000-1 1.000000+5 4.172000-1 1 53000 7 8 1.269040+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 53000 7 9 1.269040+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 5.300000+1 1.000000+5 5.300000+1 5.000000+5 5.298600+1 7.187500+5 5.297070+1 8.125000+5 5.296560+1 1.000000+6 5.295200+1 1.250000+6 5.292370+1 1.500000+6 5.289500+1 2.000000+6 5.281400+1 2.500000+6 5.271100+1 3.000000+6 5.258600+1 3.750000+6 5.235710+1 4.000000+6 5.227300+1 4.750000+6 5.198310+1 5.000000+6 5.188400+1 5.500000+6 5.166230+1 6.250000+6 5.129610+1 6.500000+6 5.116610+1 7.000000+6 5.090000+1 7.875000+6 5.039960+1 8.500000+6 5.001950+1 8.625000+6 4.993980+1 9.000000+6 4.970800+1 1.000000+7 4.905700+1 1.109400+7 4.831210+1 1.187500+7 4.777150+1 1.203100+7 4.766360+1 1.250000+7 4.733500+1 1.375000+7 4.644790+1 1.437500+7 4.600690+1 1.500000+7 4.556800+1 1.687500+7 4.426620+1 1.750000+7 4.384200+1 1.937500+7 4.259510+1 2.000000+7 4.219500+1 2.250000+7 4.064570+1 2.375000+7 3.990840+1 2.500000+7 3.919900+1 2.750000+7 3.783640+1 2.875000+7 3.718650+1 3.000000+7 3.655400+1 3.437500+7 3.444890+1 3.812500+7 3.275970+1 4.000000+7 3.195000+1 4.500000+7 2.988340+1 5.000000+7 2.797300+1 5.750000+7 2.540420+1 6.000000+7 2.463600+1 7.000000+7 2.199000+1 8.000000+7 1.995600+1 9.000000+7 1.837400+1 1.000000+8 1.707600+1 1.109400+8 1.583470+1 1.125000+8 1.566580+1 1.203100+8 1.483970+1 1.250000+8 1.435400+1 1.312500+8 1.371230+1 1.406300+8 1.277220+1 1.437500+8 1.246620+1 1.500000+8 1.186700+1 1.562500+8 1.128540+1 1.671900+8 1.032550+1 1.750000+8 9.693580+0 1.815400+8 9.199950+0 2.000000+8 7.977900+0 2.171900+8 7.060930+0 2.289100+8 6.564160+0 2.375000+8 6.266050+0 2.394500+8 6.205790+0 2.473600+8 5.987820+0 2.500000+8 5.924500+0 3.000000+8 5.095300+0 3.125000+8 4.870800+0 3.500000+8 4.266200+0 3.750000+8 3.981090+0 3.937500+8 3.789770+0 4.000000+8 3.724400+0 4.179700+8 3.526020+0 4.330100+8 3.354880+0 4.497600+8 3.165260+0 4.677000+8 2.968380+0 4.750000+8 2.890970+0 5.000000+8 2.640800+0 5.500000+8 2.216180+0 6.000000+8 1.884100+0 6.343800+8 1.702950+0 6.578100+8 1.603080+0 6.789100+8 1.529770+0 7.000000+8 1.472100+0 7.125000+8 1.445010+0 8.000000+8 1.313800+0 8.250000+8 1.274200+0 8.468800+8 1.237180+0 8.851600+8 1.170910+0 1.000000+9 9.973000-1 1.031300+9 9.612640-1 1.089800+9 9.047390-1 1.294900+9 7.591850-1 1.365400+9 7.154510-1 1.375000+9 7.095050-1 1.413500+9 6.857530-1 1.471200+9 6.499260-1 1.500000+9 6.319300-1 1.562500+9 5.926130-1 1.641100+9 5.440860-1 1.706900+9 5.051750-1 1.780200+9 4.643410-1 1.858700+9 4.238900-1 1.952900+9 3.800550-1 2.000000+9 3.600700-1 2.139200+9 3.077530-1 2.272600+9 2.658720-1 2.443000+9 2.218710-1 2.602800+9 1.883680-1 2.825100+9 1.513970-1 2.961100+9 1.331300-1 3.215900+9 1.056510-1 3.536500+9 8.033060-2 3.804800+9 6.472060-2 4.103600+9 5.153720-2 4.423800+9 4.092930-2 5.000000+9 2.790700-2 5.703100+9 1.833070-2 6.523400+9 1.185320-2 8.000000+9 6.069900-3 1.00000+10 2.917000-3 1.13510+10 1.929820-3 1.41440+10 9.481110-4 1.70770+10 5.190060-4 2.01080+10 3.091200-4 2.51010+10 1.539290-4 2.97820+10 9.031510-5 3.85600+10 4.064210-5 4.62400+10 2.328350-5 5.96800+10 1.070690-5 7.98400+10 4.445080-6 1.00000+11 2.261700-6 1.34280+11 9.385690-7 1.77440+11 4.105740-7 2.63330+11 1.282600-7 4.88110+11 2.114670-8 1.16740+12 1.705990-9 3.55150+12 7.14876-11 1.00000+14 5.93300-15 2.05350+15 1.13928-18 1.00000+17 1.73830-23 1 53000 7 0 1.269040+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 5.40000-12 1.000000+2 5.40000-10 1.000000+3 5.400000-8 1.000000+4 5.400000-6 1.000000+5 5.400000-4 5.000000+5 1.350000-2 7.187500+5 2.789648-2 8.125000+5 3.564844-2 1.000000+6 5.400000-2 1.250000+6 8.410350-2 1.500000+6 1.205000-1 2.000000+6 2.128000-1 2.500000+6 3.296000-1 3.000000+6 4.696000-1 3.750000+6 7.198310-1 4.000000+6 8.132000-1 4.750000+6 1.119730+0 5.000000+6 1.230000+0 5.500000+6 1.460900+0 6.250000+6 1.830020+0 6.500000+6 1.958230+0 7.000000+6 2.221300+0 7.875000+6 2.697960+0 8.500000+6 3.047960+0 8.625000+6 3.118400+0 9.000000+6 3.331400+0 1.000000+7 3.903000+0 1.109400+7 4.529360+0 1.187500+7 4.974590+0 1.203100+7 5.062650+0 1.250000+7 5.328100+0 1.375000+7 6.025620+0 1.437500+7 6.368710+0 1.500000+7 6.709000+0 1.687500+7 7.705520+0 1.750000+7 8.030000+0 1.937500+7 8.978870+0 2.000000+7 9.287000+0 2.250000+7 1.047110+1 2.375000+7 1.103440+1 2.500000+7 1.157900+1 2.750000+7 1.260750+1 2.875000+7 1.309360+1 3.000000+7 1.356400+1 3.437500+7 1.509200+1 3.812500+7 1.629840+1 4.000000+7 1.687600+1 4.500000+7 1.835750+1 5.000000+7 1.977700+1 5.750000+7 2.181430+1 6.000000+7 2.247100+1 7.000000+7 2.498000+1 8.000000+7 2.726900+1 9.000000+7 2.929800+1 1.000000+8 3.105600+1 1.109400+8 3.269590+1 1.125000+8 3.290870+1 1.203100+8 3.391340+1 1.250000+8 3.447400+1 1.312500+8 3.517140+1 1.406300+8 3.613600+1 1.437500+8 3.644080+1 1.500000+8 3.702400+1 1.562500+8 3.757660+1 1.671900+8 3.848970+1 1.750000+8 3.909720+1 1.815400+8 3.957810+1 2.000000+8 4.082800+1 2.171900+8 4.185450+1 2.289100+8 4.248980+1 2.375000+8 4.293040+1 2.394500+8 4.302530+1 2.473600+8 4.340440+1 2.500000+8 4.352900+1 3.000000+8 4.552600+1 3.125000+8 4.594590+1 3.500000+8 4.705400+1 3.750000+8 4.768070+1 3.937500+8 4.810160+1 4.000000+8 4.823300+1 4.179700+8 4.858150+1 4.330100+8 4.885070+1 4.497600+8 4.912490+1 4.677000+8 4.939170+1 4.750000+8 4.949120+1 5.000000+8 4.981100+1 5.500000+8 5.031950+1 6.000000+8 5.071400+1 6.343800+8 5.092860+1 6.578100+8 5.105750+1 6.789100+8 5.116330+1 7.000000+8 5.126600+1 7.125000+8 5.131740+1 8.000000+8 5.164700+1 8.250000+8 5.172260+1 8.468800+8 5.178690+1 8.851600+8 5.189580+1 1.000000+9 5.216500+1 1.031300+9 5.222290+1 1.089800+9 5.232680+1 1.294900+9 5.259910+1 1.365400+9 5.267010+1 1.375000+9 5.267750+1 1.413500+9 5.270680+1 1.471200+9 5.274940+1 1.500000+9 5.277000+1 1.562500+9 5.280280+1 1.641100+9 5.284000+1 1.706900+9 5.286280+1 1.780200+9 5.288710+1 1.858700+9 5.290760+1 1.952900+9 5.292740+1 2.000000+9 5.293700+1 2.139200+9 5.295470+1 2.272600+9 5.297060+1 2.443000+9 5.298530+1 2.602800+9 5.299230+1 2.825100+9 5.300130+1 2.961100+9 5.300650+1 3.215900+9 5.300800+1 3.536500+9 5.300630+1 3.804800+9 5.300490+1 4.103600+9 5.300360+1 4.423800+9 5.300220+1 5.000000+9 5.300000+1 5.703100+9 5.300000+1 6.523400+9 5.300000+1 8.000000+9 5.300000+1 1.00000+10 5.300000+1 1.13510+10 5.300000+1 1.41440+10 5.300000+1 1.70770+10 5.300000+1 2.01080+10 5.300000+1 2.51010+10 5.300000+1 2.97820+10 5.300000+1 3.85600+10 5.300000+1 4.62400+10 5.300000+1 5.96800+10 5.300000+1 7.98400+10 5.300000+1 1.00000+11 5.300000+1 1.34280+11 5.300000+1 1.77440+11 5.300000+1 2.63330+11 5.300000+1 4.88110+11 5.300000+1 1.16740+12 5.300000+1 3.55150+12 5.300000+1 1.00000+14 5.300000+1 2.05350+15 5.300000+1 1.00000+17 5.300000+1 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.130055-6 0.0 1.132837-6 2.331764-7 1.135618-6 4.613919-7 1.138400-6 8.427700-7 1.141181-6 1.421026-6 1.143963-6 2.211815-6 1.146744-6 3.177968-6 1.149526-6 4.215063-6 1.152307-6 5.160747-6 1.155089-6 5.832772-6 1.157870-6 6.085430-6 1.160651-6 5.860863-6 1.163433-6 5.210576-6 1.166214-6 4.276258-6 1.171777-6 2.265594-6 1.174559-6 1.462589-6 1.177340-6 8.715983-7 1.180122-6 4.794734-7 1.182903-6 2.434819-7 1.185685-6 0.0 3.564683-6 0.0 6.321202-6 0.0 6.344540-6 1.262198+0 6.352319-6 1.677593+0 6.367878-6 3.064261+0 6.383437-6 5.166765+0 6.400941-6 8.480210+0 6.427926-6 1.479435+1 6.447617-6 1.906897+1 6.462659-6 2.129176+1 6.478874-6 2.201715+1 6.494092-6 2.104539+1 6.511102-6 1.824918+1 6.537350-6 1.218579+1 6.554584-6 8.237565+0 6.571115-6 5.183884+0 6.585702-6 3.169079+0 6.601261-6 1.743336+0 6.623627-6 4.984854-1 6.632378-6 0.0 7.252157-6 0.0 7.270008-6 1.414563-6 7.287858-6 2.799029-6 7.304314-6 4.931498-6 7.305708-6 5.203527-6 7.323558-6 9.875561-6 7.341409-6 1.586258-5 7.359259-6 2.368603-5 7.412810-6 5.156818-5 7.430660-6 5.827340-5 7.451267-6 6.152099-5 7.483362-6 5.733205-1 7.487947-6 6.543785-1 7.506288-6 1.195222+0 7.524628-6 2.015267+0 7.542968-6 3.136716+0 7.597989-6 7.318728+0 7.618622-6 8.316456+0 7.636963-6 8.590343+0 7.654157-6 8.254085+0 7.673643-6 7.224110+0 7.703518-6 4.956727+0 7.726372-6 3.212955+0 7.744712-6 2.074172+0 7.763052-6 1.236058+0 7.781393-6 6.799658-1 7.804318-6 2.591228-1 7.818073-6 0.0 7.834221-6 0.0 7.838310-6 4.250247-2 7.876896-6 3.941649+0 7.896189-6 7.178324+0 7.915482-6 1.207017+1 7.936453-6 1.945372+1 7.989951-6 4.221712+1 8.013718-6 4.922559+1 8.032849-6 5.106879+1 8.053782-6 4.855000+1 8.074236-6 4.245831+1 8.130117-6 2.042243+1 8.146998-6 1.518914+1 8.167497-6 1.074760+1 8.185584-6 8.128742+0 8.205290-6 6.282957+0 8.224170-6 4.176839+0 8.244712-6 3.707398+0 8.264423-6 3.042618+0 8.303846-6 1.612002+0 8.323557-6 1.040652+0 8.343268-6 6.201544-1 8.362979-6 3.411520-1 8.392546-6 8.672223-2 8.402401-6 2.13435-14 8.423486-6 4.31831-14 8.434378-6 6.20065-14 8.475899-6 1.974626-6 8.496659-6 3.606816-6 8.511939-6 5.427200-6 8.514496-6 1.151566-2 8.556411-6 1.840929+0 8.577369-6 3.356800+0 8.598326-6 5.650954+0 8.623046-6 9.536289+0 8.684798-6 2.110973+1 8.706166-6 2.376032+1 8.725984-6 2.475108+1 8.748098-6 2.381675+1 8.773693-6 2.055451+1 8.832044-6 1.003658+1 8.851124-6 7.460532+0 8.871343-6 5.459385+0 8.891840-6 4.370066+0 8.901099-6 4.248599+0 8.920880-6 4.242132+0 8.934376-6 4.556675+0 8.945371-6 5.359692+0 8.965294-6 7.134676+0 9.115534-6 2.686356+1 9.147379-6 3.064899+1 9.171223-6 3.229707+1 9.194652-6 3.255403+1 9.216613-6 3.140696+1 9.244800-6 2.815639+1 9.301528-6 1.998444+1 9.330365-6 1.695700+1 9.349365-6 1.549428+1 9.396727-6 1.321282+1 9.418540-6 1.247542+1 9.499943-6 1.115454+1 9.589129-6 9.872282+0 9.647335-6 9.619996+0 9.696722-6 1.044176+1 9.714743-6 1.096533+1 9.741796-6 1.226606+1 9.774198-6 1.447926+1 9.836727-6 1.918903+1 9.862467-6 2.039876+1 9.883424-6 2.077245+1 9.913487-6 2.005348+1 9.947342-6 1.804336+1 1.000553-5 1.410707+1 1.003623-5 1.327455+1 1.005899-5 1.319711+1 1.008504-5 1.400717+1 1.011889-5 1.606810+1 1.018709-5 2.263023+1 1.021433-5 2.443234+1 1.024141-5 2.520437+1 1.026228-5 2.509498+1 1.029550-5 2.361028+1 1.036964-5 1.875051+1 1.040693-5 1.694557+1 1.046131-5 1.548244+1 1.051938-5 1.493411+1 1.080163-5 1.433297+1 1.103364-5 1.367259+1 1.114005-5 1.370027+1 1.119603-5 1.539059+1 1.122515-5 1.695696+1 1.125479-5 1.936892+1 1.129068-5 2.335468+1 1.135825-5 3.166166+1 1.138826-5 3.387965+1 1.141222-5 3.446837+1 1.144203-5 3.330544+1 1.147394-5 3.026980+1 1.154674-5 2.097450+1 1.158101-5 1.759401+1 1.160156-5 1.600946+1 1.163582-5 1.437749+1 1.168379-5 1.283365+1 1.455422-5 8.246819+0 1.585749-5 6.607293+0 1.731452-5 5.210730+0 1.843992-5 4.385001+0 1.867823-5 4.406826+0 1.889380-5 4.525896+0 1.925690-5 3.925156+0 1.967122-5 3.695040+0 2.004947-5 3.575619+0 2.110600-5 3.066901+0 2.250000-5 2.567226+0 2.432048-5 2.077923+0 2.618634-5 1.709715+0 2.860908-5 1.365705+0 3.116972-5 1.110947+0 3.388442-5 9.191089-1 3.617208-5 7.994642-1 3.937750-5 6.760815-1 4.375326-5 5.617872-1 4.740054-5 4.978339-1 4.764054-5 1.027539+0 4.775449-5 1.444575+0 4.787427-5 2.112308+0 4.799094-5 2.997630+0 4.813499-5 4.408586+0 4.833366-5 6.561966+0 4.846921-5 7.709746+0 4.859878-5 8.390363+0 4.870762-5 8.615940+0 4.882019-5 8.515496+0 4.903135-5 7.756893+0 4.928016-5 6.278769+0 4.973370-5 2.901625+0 4.984479-5 2.348298+0 4.996311-5 1.894549+0 5.008143-5 1.592366+0 5.019975-5 1.414419+0 5.031806-5 1.312068+0 5.043638-5 1.156791+0 5.053220-5 1.135156+0 5.065330-5 1.058529+0 5.101660-5 7.134728-1 5.113770-5 6.191292-1 5.125880-5 5.493365-1 5.137990-5 5.026084-1 5.162210-5 4.444730-1 5.470462-5 4.165747-1 5.497391-5 5.286326-1 5.510856-5 6.218995-1 5.524321-5 7.638521-1 5.540489-5 1.007280+0 5.579463-5 1.708435+0 5.593188-5 1.884623+0 5.606795-5 1.956811+0 5.620764-5 1.924847+0 5.659830-5 1.573355+0 5.675311-5 1.494537+0 5.688868-5 1.500641+0 5.703885-5 1.594057+0 5.760708-5 2.264077+0 5.775737-5 2.370776+0 5.790018-5 2.392927+0 5.812565-5 2.294218+0 5.850253-5 2.053803+0 5.868056-5 2.015816+0 5.887301-5 2.031800+0 6.036735-5 2.427970+0 6.107273-5 2.748645+0 6.172330-5 3.175952+0 6.240000-5 3.779894+0 6.318900-5 4.760039+0 6.385594-5 5.900719+0 6.457435-5 7.557760+0 6.519969-5 9.473215+0 6.584652-5 1.204461+1 6.639772-5 1.482153+1 6.707403-5 1.912579+1 6.782856-5 2.526387+1 6.872481-5 3.451145+1 7.135009-5 6.674523+1 7.235000-5 7.502223+1 7.343467-5 7.825783+1 7.456563-5 7.598705+1 7.705406-5 6.157984+1 7.968386-5 4.683919+1 8.199546-5 3.741376+1 8.450000-5 2.997261+1 8.719952-5 2.398693+1 8.997589-5 1.928506+1 9.332543-5 1.494998+1 9.666455-5 1.167031+1 1.001174-4 9.094364+0 1.035142-4 7.165934+0 1.073150-4 5.535488+0 1.109175-4 4.378587+0 1.143207-4 3.541270+0 1.179629-4 2.854667+0 1.219691-4 2.285290+0 1.260965-4 1.858327+0 1.279136-4 1.710675+0 1.288625-4 1.765866+0 1.291818-4 1.830831+0 1.295418-4 1.943307+0 1.304963-4 2.346747+0 1.308026-4 2.443688+0 1.311323-4 2.497017+0 1.314370-4 2.497047+0 1.329820-4 2.206701+0 1.346465-4 2.079648+0 1.372630-4 1.966371+0 1.390563-4 1.926007+0 1.404878-4 1.989179+0 1.422510-4 2.249952+0 1.433031-4 2.270194+0 1.458700-4 2.184546+0 1.531087-4 2.214646+0 1.648496-4 2.420422+0 1.769125-4 2.746355+0 1.784843-4 2.964098+0 1.803790-4 3.388215+0 1.812456-4 3.433998+0 1.839592-4 3.035957+0 1.853959-4 2.990974+0 1.872385-4 3.140259+0 1.902300-4 3.493314+0 2.246548-4 4.593041+0 2.603937-4 5.409501+0 2.985383-4 5.975993+0 3.433281-4 6.317354+0 4.214595-4 6.411973+0 5.636100-4 5.900294+0 6.114481-4 5.711963+0 6.218532-4 5.977894+0 6.251104-4 6.363653+0 6.273287-4 6.948528+0 6.293740-4 7.866151+0 6.310393-4 8.974077+0 6.329152-4 1.069098+1 6.348021-4 1.295473+1 6.373194-4 1.676964+1 6.440545-4 2.849769+1 6.480569-4 3.377650+1 6.518416-4 3.693289+1 6.593483-4 3.993334+1 6.700474-4 4.063943+1 6.904236-4 3.768599+1 7.088750-4 3.479022+1 7.417104-4 3.197605+1 8.491887-4 2.721095+1 8.628142-4 2.754447+1 8.778840-4 2.934431+1 9.214096-4 2.873815+1 9.468801-4 2.896296+1 1.040158-3 2.660441+1 1.075346-3 2.640415+1 1.318321-3 2.085247+1 1.580907-3 1.652944+1 1.872261-3 1.314628+1 2.166515-3 1.071546+1 2.490291-3 8.767028+0 2.865785-3 7.124651+0 3.287570-3 5.793910+0 3.715352-3 4.802600+0 4.265737-3 3.871305+0 4.448408-3 3.642455+0 4.477553-3 3.752944+0 4.494636-3 4.009252+0 4.509413-3 4.443031+0 4.523184-3 5.067566+0 4.539701-3 6.078196+0 4.580003-3 8.788052+0 4.603175-3 9.764084+0 4.637138-3 1.026706+1 4.782217-3 1.004748+1 4.818355-3 1.043109+1 4.895178-3 1.245522+1 4.941931-3 1.281758+1 5.098195-3 1.247395+1 5.199894-3 1.344243+1 5.295676-3 1.334473+1 6.188524-3 1.050590+1 7.126840-3 8.387456+0 8.059987-3 6.877603+0 9.231525-3 5.504786+0 1.051943-2 4.423644+0 1.202264-2 3.526436+0 1.326661-2 2.976143+0 1.462166-2 2.515146+0 1.639944-2 2.058402+0 1.848986-2 1.665613+0 2.085548-2 1.344871+0 2.335786-2 1.097419+0 2.612172-2 8.970782-1 2.938138-2 7.247191-1 3.232858-2 6.118486-1 3.250084-2 6.282142-1 3.261063-2 6.696147-1 3.269297-2 7.337376-1 3.276912-2 8.307220-1 3.286055-2 1.008324+0 3.295669-2 1.274363+0 3.305624-2 1.626196+0 3.332763-2 2.673033+0 3.347737-2 3.074006+0 3.365248-2 3.309499+0 3.391263-2 3.377750+0 3.952625-2 2.644984+0 4.548601-2 2.098980+0 5.139697-2 1.705784+0 5.836451-2 1.368328+0 6.564994-2 1.112967+0 7.373072-2 9.047000-1 8.379588-2 7.181084-1 9.458097-2 5.761559-1 1.054673-1 4.712822-1 1.173667-1 3.867514-1 1.286296-1 3.264446-1 1.426212-1 2.693183-1 1.579760-1 2.228013-1 1.755503-1 1.831156-1 1.964921-1 1.485592-1 2.172192-1 1.235850-1 2.426610-1 1.009587-1 2.710800-1 8.279722-2 3.021582-1 6.833579-2 3.381895-1 5.625742-2 3.783133-1 4.662272-2 4.316744-1 3.763615-2 4.841724-1 3.147921-2 5.422252-1 2.660882-2 6.025596-1 2.291367-2 6.829281-1 1.937075-2 7.776098-1 1.646754-2 9.002746-1 1.389423-2 1.070165+0 1.156543-2 1.286622+0 9.461318-3 1.546860+0 7.740008-3 1.860009+0 6.330888-3 2.135261+0 5.446576-3 2.567148+0 4.455673-3 3.086391+0 3.645047-3 3.710658+0 2.981899-3 4.461192+0 2.439398-3 5.363532+0 1.995595-3 6.448384+0 1.632534-3 7.752663+0 1.335525-3 9.320751+0 1.092551-3 9.760024+0 1.039057-3 1.000000+1 2.118561-3 1 53000 7 0 1.269040+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-5.298537+1 3.077883-6-5.281720+1 5.690375-6-5.114731+1 6.161405-6-4.878257+1 6.289673-6-4.604837+1 6.352319-6-4.163514+1 6.388785-6-3.862788+1 6.414555-6-3.835998+1 6.436920-6-4.077972+1 6.462659-6-4.703915+1 6.487773-6-5.465774+1 6.515352-6-4.762351+1 6.539025-6-4.489657+1 6.568198-6-4.530831+1 6.661399-6-5.267171+1 6.744114-6-5.463070+1 7.392728-6-4.757156+1 7.558723-6-4.229673+1 7.597989-6-4.327871+1 7.680664-6-4.891259+1 7.726372-6-4.852151+1 7.790563-6-4.364105+1 7.830184-6-3.879660+1 7.860390-6-3.354121+1 7.917894-6-2.391942+1 7.939705-6-2.210443+1 7.953472-6-2.261820+1 7.965029-6-2.404258+1 7.981063-6-2.759081+1 7.999574-6-3.464823+1 8.011947-6-4.062374+1 8.032849-6-5.246241+1 8.050983-6-5.047599+1 8.075907-6-3.939858+1 8.094882-6-3.462874+1 8.115336-6-3.221627+1 8.127705-6-3.229118+1 8.149410-6-3.431774+1 8.205290-6-4.123065+1 8.244712-6-4.574598+1 8.417510-6-5.712109+1 8.515521-6-5.081773+1 8.607135-6-4.274902+1 8.636955-6-4.177574+1 8.669260-6-4.353042+1 8.702436-6-4.886719+1 8.725984-6-5.423178+1 8.747032-6-5.720421+1 8.784224-6-5.163026+1 8.818687-6-5.044799+1 8.866627-6-5.468340+1 8.894859-6-5.863241+1 8.971239-6-4.899892+1 9.018009-6-4.708520+1 9.073034-6-4.825300+1 9.130363-6-5.336568+1 9.168926-6-6.005962+1 9.236368-6-4.774374+1 9.270619-6-4.460641+1 9.301528-6-4.396263+1 9.499943-6-5.069671+1 9.654376-6-5.574096+1 9.778874-6-6.038645+1 9.836727-6-5.880831+1 9.938775-6-5.129580+1 9.988252-6-5.104005+1 1.013213-5-5.907945+1 1.018531-5-5.778530+1 1.030304-5-4.707963+1 1.036343-5-4.526037+1 1.059366-5-4.847209+1 1.097621-5-5.033084+1 1.112970-5-5.324763+1 1.119305-5-5.541047+1 1.127828-5-5.122222+1 1.132628-5-5.220109+1 1.135668-5-5.430556+1 1.141222-5-4.544823+1 1.146794-5-3.679848+1 1.150392-5-3.359589+1 1.154161-5-3.261192+1 1.159642-5-3.414670+1 1.171754-5-3.920523+1 1.187263-5-4.129281+1 1.232212-5-4.245927+1 1.694531-5-4.197212+1 1.902593-5-4.223408+1 4.284841-5-4.971351+1 4.689670-5-5.296749+1 4.748096-5-5.422776+1 4.819106-5-5.256938+1 4.853973-5-5.474601+1 4.915200-5-4.914961+1 4.962736-5-4.785690+1 5.101660-5-5.120617+1 5.593188-5-5.811776+1 5.722926-5-5.952927+1 5.906560-5-6.160078+1 6.258735-5-6.985235+1 6.602402-5-8.342402+1 6.839978-5-9.279498+1 6.962478-5-9.285466+1 7.070000-5-8.736205+1 7.194109-5-7.432850+1 7.430000-5-4.237064+1 7.528806-5-3.179709+1 7.599301-5-2.599705+1 7.681720-5-2.090464+1 7.774007-5-1.693029+1 7.867908-5-1.430245+1 7.968386-5-1.255491+1 8.092427-5-1.139886+1 8.274431-5-1.083974+1 8.504328-5-1.105536+1 8.883750-5-1.236882+1 1.073150-4-2.126012+1 1.219691-4-2.643834+1 1.304963-4-2.921735+1 1.342596-4-2.929115+1 1.479060-4-3.136542+1 1.937621-4-3.433384+1 3.960304-4-3.422449+1 4.800097-4-3.571683+1 5.394810-4-3.852566+1 5.797352-4-4.245527+1 6.044553-4-4.714464+1 6.191483-4-5.263553+1 6.280688-4-5.949656+1 6.373194-4-6.832582+1 6.426342-4-6.852036+1 6.505000-4-6.151728+1 6.636088-4-4.947150+1 6.754999-4-4.177594+1 6.883472-4-3.632355+1 7.014031-4-3.323231+1 7.314372-4-2.943100+1 7.823352-4-2.568461+1 8.312578-4-2.375647+1 8.549116-4-2.393922+1 8.688086-4-2.473689+1 8.824313-4-2.327956+1 9.007808-4-2.160570+1 9.315620-4-2.048184+1 9.573175-4-1.850267+1 1.001728-3-1.643138+1 1.040158-3-1.547942+1 1.056490-3-1.527847+1 1.085622-3-1.378962+1 1.147809-3-1.184822+1 1.237503-3-9.946942+0 1.356954-3-8.234971+0 1.485476-3-7.015492+0 1.626464-3-6.158693+0 1.815252-3-5.478602+0 2.073600-3-5.053277+0 2.368816-3-4.963344+0 2.737435-3-5.170580+0 3.135090-3-5.664633+0 3.589800-3-6.569920+0 3.926191-3-7.625854+0 4.150665-3-8.731490+0 4.311118-3-1.000411+1 4.410272-3-1.133972+1 4.461263-3-1.255377+1 4.539701-3-1.566030+1 4.568463-3-1.571118+1 4.650097-3-1.284625+1 4.702772-3-1.192664+1 4.763730-3-1.167855+1 4.851623-3-1.227184+1 4.895178-3-1.154525+1 4.960996-3-9.962463+0 5.030847-3-9.076372+0 5.098195-3-8.805351+0 5.155461-3-8.697875+0 5.199894-3-8.141295+0 5.271492-3-6.980786+0 5.368447-3-5.977275+0 5.511125-3-4.955700+0 5.680839-3-4.062772+0 5.906023-3-3.185061+0 6.146887-3-2.487193+0 6.390725-3-1.958568+0 6.672808-3-1.483746+0 6.955569-3-1.126879+0 7.126840-3-9.502060-1 7.319067-3-7.838080-1 7.527391-3-6.349677-1 7.673615-3-5.449041-1 7.850238-3-4.493904-1 8.059987-3-3.515740-1 8.263946-3-2.725101-1 8.481385-3-2.015013-1 8.661201-3-1.535065-1 8.818317-3-1.170514-1 9.028695-3-7.325725-2 9.231525-3-4.124925-2 9.310848-3-3.079578-2 9.418663-3-1.776410-2 9.515629-3-6.949620-3 9.553764-3-3.254899-3 9.623694-3 2.836847-3 9.664393-3 6.447111-3 9.725022-3 1.046716-2 9.831751-3 1.662587-2 9.964087-3 2.317744-2 1.005315-2 2.706684-2 1.021584-2 3.215049-2 1.031673-2 3.444464-2 1.051943-2 3.685229-2 1.080034-2 3.683325-2 1.102808-2 3.493594-2 1.126873-2 2.732660-2 1.154990-2 1.549065-2 1.163958-2 1.181173-2 1.188035-2-2.610052-4 1.188502-2-4.924429-4 1.202264-2-7.150716-3 1.232913-2-2.516316-2 1.244514-2-3.251002-2 1.289640-2-6.497776-2 1.411912-2-1.622813-1 2.247330-2-8.989963-1 2.521511-2-1.168611+0 2.764901-2-1.468436+0 2.938138-2-1.767033+0 3.058279-2-2.072139+0 3.136218-2-2.367663+0 3.192151-2-2.686587+0 3.232858-2-3.060046+0 3.261063-2-3.509783+0 3.302325-2-4.406435+0 3.318503-2-4.489782+0 3.335513-2-4.269417+0 3.377082-2-3.258678+0 3.398508-2-2.883715+0 3.426827-2-2.544738+0 3.472941-2-2.169971+0 3.532179-2-1.839509+0 3.611402-2-1.519545+0 3.710492-2-1.225120+0 3.801894-2-1.026222+0 3.900919-2-8.556942-1 4.053863-2-6.586773-1 4.166351-2-5.433802-1 4.348530-2-3.992730-1 4.478639-2-3.169327-1 4.673674-2-2.228239-1 4.807876-2-1.717775-1 4.898806-2-1.432554-1 5.012219-2-1.115348-1 5.139697-2-8.095012-2 5.273152-2-5.456988-2 5.392765-2-3.556318-2 5.550252-2-1.427303-2 5.639929-2-5.511114-3 5.685332-2-1.486503-3 5.701617-2-2.186866-5 5.746477-2 4.116600-3 5.800364-2 9.140603-3 5.971266-2 2.139194-2 6.092326-2 2.743079-2 6.235350-2 3.372047-2 6.396529-2 3.926326-2 6.564994-2 4.292816-2 6.909440-2 4.513241-2 7.176120-2 4.305307-2 7.553756-2 3.744808-2 7.970385-2 2.954278-2 8.184059-2 2.450637-2 8.465444-2 1.662385-2 8.779709-2 7.620058-3 9.023575-2 1.723403-4 9.179050-2-4.469493-3 9.362812-2-1.028231-2 1.092648-1-5.595722-2 1.245316-1-9.618135-2 1.426212-1-1.354086-1 1.633885-1-1.713998-1 1.964921-1-2.134477-1 2.426610-1-2.522430-1 3.145088-1-2.876755-1 4.316744-1-3.161764-1 6.550131-1-3.370538-1 1.286622+0-3.496410-1 3.885536+0-3.537713-1 1.000000+1-3.540785-1 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.558221-3 1.068373-6 2.031226-3 1.139063-6 2.642627-3 1.281474-6 4.260362-3 1.321520-6 4.819182-3 1.362817-6 5.465852-3 1.500000-6 8.155473-3 1.541322-6 9.114463-3 1.743208-6 1.523278-2 1.971538-6 2.563785-2 2.096684-6 3.339305-2 2.229775-6 4.338709-2 2.371313-6 5.657148-2 2.521836-6 7.397116-2 2.779424-6 1.141603-1 2.953138-6 1.502516-1 3.137710-6 1.986350-1 3.333816-6 2.639348-1 3.444845-6 3.085356-1 3.660147-6 4.143252-1 3.763566-6 4.757881-1 3.888907-6 5.610805-1 4.103022-6 7.389852-1 4.209587-6 8.458689-1 4.312822-6 9.630821-1 4.518407-6 1.243769+0 4.608000-6 1.388564+0 4.805220-6 1.768884+0 4.867902-6 1.910558+0 5.030643-6 2.333236+0 5.185797-6 2.822119+0 5.331253-6 3.377036+0 5.467618-6 4.002330+0 5.600156-6 4.729511+0 5.715312-6 5.475824+0 5.827674-6 6.333169+0 5.933013-6 7.278614+0 6.040799-6 8.419445+0 6.144000-6 9.701576+0 6.211147-6 1.065755+1 6.292519-6 1.198081+1 6.368805-6 1.341160+1 6.447883-6 1.512468+1 6.507371-6 1.659765+1 6.575187-6 1.851066+1 6.629158-6 2.024331+1 6.684404-6 2.225180+1 6.736197-6 2.439268+1 6.784753-6 2.666885+1 6.830275-6 2.908269+1 6.872951-6 3.163868+1 6.912960-6 3.434366+1 6.950468-6 3.720451+1 6.985632-6 4.022659+1 7.018599-6 4.341416+1 7.053073-6 4.718584+1 7.078479-6 5.030736+1 7.105643-6 5.402840+1 7.131445-6 5.799874+1 7.154983-6 6.206135+1 7.177365-6 6.638686+1 7.200000-6 7.130562+1 7.237691-6 8.102229+1 7.272117-6 9.213676+1 7.302239-6 1.043912+2 7.328596-6 1.179632+2 7.351658-6 1.330737+2 7.371838-6 1.499295+2 7.389495-6 1.686373+2 7.404945-6 1.891339+2 7.418464-6 2.111705+2 7.430292-6 2.343474+2 7.440643-6 2.581788+2 7.449699-6 2.821605+2 7.457624-6 3.058241+2 7.464558-6 3.287716+2 7.476692-6 3.744297+2 7.518585-6 5.937657+2 7.531587-6 6.824016+2 7.545457-6 7.867987+2 7.550080-6 8.235802+2 7.568572-6 9.781164+2 7.570884-6 9.980189+2 7.587065-6 1.138233+3 7.593422-6 1.192709+3 7.605557-6 1.293270+3 7.611914-6 1.343140+3 7.617982-6 1.388295+3 7.624050-6 1.430579+3 7.632140-6 1.481699+3 7.639942-6 1.524409+3 7.647166-6 1.557435+3 7.653233-6 1.579874+3 7.661035-6 1.601092+3 7.671437-6 1.615223+3 7.680105-6 1.614135+3 7.683324-6 1.610708+3 7.692509-6 1.591967+3 7.700497-6 1.565086+3 7.705735-6 1.542311+3 7.714486-6 1.495681+3 7.723213-6 1.439338+3 7.735583-6 1.344925+3 7.743854-6 1.274003+3 7.749881-6 1.219230+3 7.757832-6 1.143952+3 7.764026-6 1.083598+3 7.771990-6 1.004753+3 7.780081-6 9.242697+2 7.788532-6 8.409432+2 7.799729-6 7.335879+2 7.807819-6 6.592988+2 7.810131-6 6.386949+2 7.818799-6 5.642210+2 7.827468-6 4.945791+2 7.845960-6 3.638651+2 7.853076-6 3.203183+2 7.858764-6 2.882023+2 7.864453-6 2.584460+2 7.872543-6 2.200776+2 7.880020-6 1.885772+2 7.888258-6 1.580129+2 7.895274-6 1.351849+2 7.899905-6 1.216197+2 7.904509-6 1.092489+2 7.909078-6 9.801263+1 7.913610-6 8.782609+1 7.918108-6 7.860822+1 7.926997-6 6.277366+1 7.935748-6 4.994031+1 7.944363-6 3.960651+1 7.952843-6 3.133658+1 7.961192-6 2.475739+1 7.969403-6 1.955789+1 7.991303-6 1.035509+1 7.999045-6 8.306009+0 8.002875-6 7.466940+0 8.006675-6 6.734377+0 8.010445-6 6.096679+0 8.014186-6 5.543473+0 8.017897-6 5.065535+0 8.025262-6 4.301078+0 8.032512-6 3.752438+0 8.039649-6 3.376222+0 8.046674-6 3.138694+0 8.053589-6 3.013716+0 8.060397-6 2.981069+0 8.073799-6 3.135880+0 8.086782-6 3.515978+0 8.099359-6 4.065754+0 8.111543-6 4.748982+0 8.135151-6 6.450900+0 8.157282-6 8.458523+0 8.178031-6 1.067238+1 8.216934-6 1.561166+1 8.250975-6 2.069965+1 8.370116-6 4.368501+1 8.434494-6 6.019248+1 8.489258-6 7.751773+1 8.606087-6 1.300475+2 8.656420-6 1.629974+2 8.677315-6 1.794943+2 8.698210-6 1.981411+2 8.719105-6 2.194164+2 8.740000-6 2.439398+2 8.760896-6 2.724967+2 8.781791-6 3.060467+2 8.802686-6 3.457009+2 8.823581-6 3.926542+2 8.844477-6 4.480644+2 8.899210-6 6.389791+2 8.928526-6 7.685421+2 8.935552-6 8.020900+2 8.957438-6 9.119000+2 8.984796-6 1.059124+3 9.006682-6 1.185200+3 9.044982-6 1.436595+3 9.061397-6 1.566503+3 9.066868-6 1.614368+3 9.088754-6 1.836274+3 9.094226-6 1.900934+3 9.113012-6 2.157919+3 9.128059-6 2.409268+3 9.138140-6 2.603468+3 9.159883-6 3.099293+3 9.195790-6 4.149700+3 9.220070-6 4.991844+3 9.227599-6 5.265454+3 9.244782-6 5.894527+3 9.253384-6 6.204591+3 9.264444-6 6.589921+3 9.272520-6 6.857042+3 9.281161-6 7.125083+3 9.290864-6 7.399071+3 9.301573-6 7.661811+3 9.310792-6 7.849616+3 9.323959-6 8.048612+3 9.333921-6 8.140533+3 9.347633-6 8.179761+3 9.357471-6 8.144439+3 9.363678-6 8.095051+3 9.374725-6 7.956630+3 9.382922-6 7.813904+3 9.399895-6 7.419615+3 9.407798-6 7.195688+3 9.418119-6 6.870773+3 9.427284-6 6.556313+3 9.433175-6 6.343616+3 9.442519-6 5.993020+3 9.453093-6 5.582384+3 9.464138-6 5.145122+3 9.477923-6 4.598925+3 9.489158-6 4.161828+3 9.501799-6 3.686912+3 9.511630-6 3.334178+3 9.534101-6 2.596398+3 9.541826-6 2.367396+3 9.556573-6 1.967337+3 9.566404-6 1.727934+3 9.578254-6 1.467965+3 9.591086-6 1.220471+3 9.603110-6 1.018888+3 9.618570-6 7.994833+2 9.624278-6 7.289275+2 9.641402-6 5.477695+2 9.647109-6 4.967374+2 9.687065-6 2.472969+2 9.692773-6 2.246989+2 9.701335-6 1.959304+2 9.709897-6 1.729281+2 9.721313-6 1.505924+2 9.727021-6 1.427966+2 9.731302-6 1.383664+2 9.733870-6 1.362802+2 9.736116-6 1.348023+2 9.738292-6 1.336764+2 9.746460-6 1.321016+2 9.750165-6 1.327523+2 9.763192-6 1.417252+2 9.768511-6 1.483753+2 9.773165-6 1.556205+2 9.777237-6 1.630585+2 9.780801-6 1.704134+2 9.783918-6 1.775014+2 9.789375-6 1.913839+2 9.796536-6 2.124942+2 9.808965-6 2.570712+2 9.825913-6 3.345254+2 9.833108-6 3.733239+2 9.845180-6 4.463698+2 9.855743-6 5.183412+2 9.860270-6 5.514258+2 9.876114-6 6.772151+2 9.882904-6 7.355323+2 9.905539-6 9.454023+2 9.910511-6 9.939504+2 9.916185-6 1.050060+3 9.933209-6 1.220518+3 9.940663-6 1.294835+3 9.948639-6 1.373101+3 9.955153-6 1.435493+3 9.963702-6 1.514479+3 9.971945-6 1.586619+3 9.982525-6 1.671916+3 9.992804-6 1.745313+3 1.000230-5 1.803460+3 1.000754-5 1.831112+3 1.001891-5 1.879564+3 1.002869-5 1.907669+3 1.003442-5 1.918073+3 1.004441-5 1.925268+3 1.005380-5 1.919303+3 1.006052-5 1.907551+3 1.007102-5 1.877122+3 1.008125-5 1.834112+3 1.008741-5 1.802274+3 1.010416-5 1.696257+3 1.011405-5 1.622504+3 1.012500-5 1.533643+3 1.013496-5 1.448278+3 1.014689-5 1.342887+3 1.015919-5 1.233929+3 1.017263-5 1.118329+3 1.020724-5 8.606957+2 1.021605-5 8.082549+2 1.022485-5 7.621224+2 1.024428-5 6.832262+2 1.025099-5 6.633135+2 1.025927-5 6.438224+2 1.026592-5 6.320414+2 1.027440-5 6.218097+2 1.028530-5 6.159359+2 1.029412-5 6.165960+2 1.030323-5 6.217418+2 1.031199-5 6.304033+2 1.032308-5 6.456890+2 1.033585-5 6.679082+2 1.036442-5 7.281461+2 1.039354-5 7.942222+2 1.044548-5 9.163003+2 1.046041-5 9.580666+2 1.047565-5 1.008147+3 1.048752-5 1.054331+3 1.050119-5 1.117522+3 1.051395-5 1.188053+3 1.052586-5 1.265569+3 1.054016-5 1.375153+3 1.055503-5 1.509945+3 1.056156-5 1.576151+3 1.062689-5 2.459237+3 1.064098-5 2.689364+3 1.065393-5 2.905618+3 1.066772-5 3.136178+3 1.067956-5 3.330261+3 1.069333-5 3.546548+3 1.070502-5 3.717925+3 1.071841-5 3.896284+3 1.073082-5 4.040360+3 1.074380-5 4.165971+3 1.074912-5 4.209328+3 1.075973-5 4.280678+3 1.077154-5 4.335683+3 1.079454-5 4.366342+3 1.080766-5 4.338776+3 1.082893-5 4.228410+3 1.084266-5 4.117913+3 1.085709-5 3.972770+3 1.086533-5 3.878351+3 1.087885-5 3.708036+3 1.089149-5 3.534559+3 1.090437-5 3.347101+3 1.091834-5 3.135699+3 1.092439-5 3.042620+3 1.094250-5 2.761629+3 1.094900-5 2.661100+3 1.096486-5 2.419142+3 1.098180-5 2.169503+3 1.099244-5 2.019040+3 1.101088-5 1.772141+3 1.102447-5 1.602941+3 1.104482-5 1.371153+3 1.106871-5 1.133444+3 1.111643-5 7.681384+2 1.112895-5 6.953081+2 1.114790-5 6.020089+2 1.116789-5 5.249080+2 1.117928-5 4.903427+2 1.118751-5 4.695046+2 1.119062-5 4.625295+2 1.120250-5 4.402510+2 1.121265-5 4.266598+2 1.123947-5 4.140626+2 1.125059-5 4.183726+2 1.126786-5 4.354907+2 1.127739-5 4.500803+2 1.128649-5 4.671924+2 1.129745-5 4.916419+2 1.131160-5 5.288113+2 1.135611-5 6.752913+2 1.137431-5 7.414317+2 1.138961-5 7.964178+2 1.140423-5 8.466837+2 1.141613-5 8.847755+2 1.143002-5 9.250132+2 1.144041-5 9.514580+2 1.145171-5 9.761995+2 1.146472-5 9.990416+2 1.146795-5 1.003718+3 1.149054-5 1.025092+3 1.150000-5 1.028118+3 1.151807-5 1.024553+3 1.153023-5 1.015754+3 1.154473-5 9.993500+2 1.155343-5 9.868486+2 1.157149-5 9.558911+2 1.159471-5 9.096985+2 1.162487-5 8.474659+2 1.165606-5 7.909426+2 1.168168-5 7.562408+2 1.169795-5 7.408665+2 1.170830-5 7.338642+2 1.171606-5 7.299961+2 1.172770-5 7.263217+2 1.174578-5 7.252569+2 1.176510-5 7.294143+2 1.179110-5 7.413219+2 1.186933-5 7.916621+2 1.188731-5 8.020570+2 1.193039-5 8.225946+2 1.195661-5 8.325351+2 1.213805-5 8.912568+2 1.217579-5 9.002840+2 1.221562-5 9.043933+2 1.225114-5 9.014397+2 1.229534-5 8.872076+2 1.230987-5 8.798245+2 1.232894-5 8.681358+2 1.235432-5 8.492716+2 1.236970-5 8.361778+2 1.240280-5 8.045205+2 1.243820-5 7.670600+2 1.251172-5 6.872097+2 1.254190-5 6.569996+2 1.257222-5 6.294806+2 1.260230-5 6.054108+2 1.264995-5 5.740179+2 1.269129-5 5.529219+2 1.271941-5 5.413097+2 1.278625-5 5.203818+2 1.284976-5 5.063174+2 1.290733-5 4.964608+2 1.299519-5 4.845520+2 1.310292-5 4.731423+2 1.323500-5 4.621403+2 1.342905-5 4.491938+2 1.371490-5 4.338331+2 1.415168-5 4.147183+2 1.553281-5 3.645731+2 1.684400-5 3.241154+2 2.003720-5 2.508516+2 2.057658-5 2.403083+2 2.102326-5 2.305656+2 2.112624-5 2.294681+2 2.117774-5 2.293899+2 2.127211-5 2.301227+2 2.148669-5 2.339036+2 2.153819-5 2.345205+2 2.161271-5 2.348080+2 2.169266-5 2.342329+2 2.179565-5 2.323338+2 2.210310-5 2.242484+2 2.221138-5 2.219857+2 2.235433-5 2.198208+2 2.283858-5 2.152065+2 2.382153-5 2.043983+2 2.473638-5 1.947750+2 2.709326-5 1.750718+2 2.992055-5 1.568150+2 3.507519-5 1.320042+2 3.826595-5 1.193032+2 4.058716-5 1.107032+2 4.265795-5 1.033377+2 4.369872-5 9.962321+1 4.473218-5 9.593438+1 4.574827-5 9.228700+1 4.679312-5 8.847824+1 4.832734-5 8.278452+1 4.949728-5 7.834851+1 5.095128-5 7.268603+1 5.248422-5 6.647694+1 5.433739-5 5.862957+1 5.612292-5 5.060353+1 5.729250-5 4.507036+1 5.821961-5 4.053391+1 5.907576-5 3.617893+1 6.003104-5 3.113086+1 6.048038-5 2.868647+1 6.105393-5 2.548598+1 6.155579-5 2.260239+1 6.215979-5 1.901824+1 6.253243-5 1.672600+1 6.293413-5 1.415066+1 6.309273-5 1.309750+1 6.321474-5 1.227432+1 6.336957-5 1.121878+1 6.352440-5 1.016345+1 6.367924-5 9.130342+0 6.398720-5 7.279040+0 6.419675-5 6.323847+0 6.424976-5 6.138778+0 6.434772-5 5.867329+0 6.440712-5 5.750343+0 6.456543-5 5.624758+0 6.460383-5 5.635730+0 6.472186-5 5.768015+0 6.475782-5 5.836554+0 6.482076-5 5.985756+0 6.486796-5 6.120266+0 6.493877-5 6.354082+0 6.505742-5 6.814353+0 6.520310-5 7.447894+0 6.532602-5 7.990135+0 6.536410-5 8.152358+0 6.553723-5 8.816149+0 6.558050-5 8.957331+0 6.569360-5 9.270518+0 6.576574-5 9.426698+0 6.582830-5 9.535271+0 6.590263-5 9.634230+0 6.597414-5 9.702441+0 6.612283-5 9.782254+0 6.636687-5 9.855775+0 6.651841-5 9.950824+0 6.656667-5 9.997109+0 6.670977-5 1.018660+1 6.686509-5 1.047388+1 6.718545-5 1.117020+1 6.730378-5 1.138095+1 6.748769-5 1.156504+1 6.753274-5 1.157611+1 6.766788-5 1.151812+1 6.773478-5 1.143755+1 6.783629-5 1.125152+1 6.793931-5 1.099043+1 6.801940-5 1.074418+1 6.813216-5 1.034721+1 6.825015-5 9.889756+0 6.865814-5 8.314685+0 6.881750-5 7.825582+0 6.895880-5 7.489167+0 6.904155-5 7.338927+0 6.913920-5 7.208051+0 6.931438-5 7.103066+0 6.940000-5 7.114247+0 6.949321-5 7.174939+0 6.958750-5 7.290038+0 6.967250-5 7.442634+0 6.979800-5 7.758843+0 6.995788-5 8.334894+0 7.011777-5 9.130407+0 7.021563-5 9.738368+0 7.035622-5 1.078946+1 7.047031-5 1.180888+1 7.057119-5 1.284340+1 7.075366-5 1.505470+1 7.126976-5 2.395803+1 7.146243-5 2.839772+1 7.163116-5 3.283618+1 7.180000-5 3.782470+1 7.194055-5 4.241882+1 7.211563-5 4.873354+1 7.227160-5 5.494064+1 7.246244-5 6.331800+1 7.269739-5 7.486754+1 7.286065-5 8.372521+1 7.303888-5 9.419157+1 7.330000-5 1.110482+2 7.353133-5 1.275038+2 7.384131-5 1.518024+2 7.417479-5 1.808295+2 7.452479-5 2.145392+2 7.482173-5 2.457363+2 7.514527-5 2.823304+2 7.546615-5 3.210221+2 7.569289-5 3.495484+2 7.586736-5 3.720191+2 7.609186-5 4.014176+2 7.632703-5 4.325907+2 7.657330-5 4.654338+2 7.681956-5 4.983252+2 7.705978-5 5.303757+2 7.730000-5 5.623662+2 7.759488-5 6.015361+2 7.797968-5 6.523514+2 7.816024-5 6.759670+2 7.843072-5 7.108735+2 7.876465-5 7.528601+2 7.910000-5 7.934578+2 7.944809-5 8.337917+2 7.978276-5 8.709018+2 8.018210-5 9.131431+2 8.059124-5 9.538894+2 8.099466-5 9.908049+2 8.139381-5 1.023229+3 8.192000-5 1.058935+3 8.248551-5 1.089124+3 8.294524-5 1.108814+3 8.326191-5 1.120315+3 8.377897-5 1.135647+3 8.428116-5 1.146408+3 8.511248-5 1.156592+3 8.640287-5 1.162843+3 8.731759-5 1.162677+3 8.794478-5 1.158580+3 8.885143-5 1.146804+3 8.974223-5 1.131276+3 9.044245-5 1.117309+3 9.149564-5 1.091625+3 9.209550-5 1.073628+3 9.271935-5 1.052791+3 9.439559-5 9.931197+2 9.834116-5 8.648652+2 1.018092-4 7.752088+2 1.059135-4 6.890855+2 1.113173-4 5.986439+2 1.162242-4 5.332722+2 1.223212-4 4.683650+2 1.335000-4 3.783646+2 1.365000-4 3.568017+2 1.374996-4 3.492776+2 1.388562-4 3.381513+2 1.403504-4 3.232501+2 1.419456-4 3.048701+2 1.422933-4 3.016632+2 1.426485-4 2.992336+2 1.430129-4 2.978938+2 1.433964-4 2.979471+2 1.438478-4 2.999954+2 1.440731-4 3.017578+2 1.444233-4 3.052913+2 1.455642-4 3.195812+2 1.460350-4 3.247422+2 1.463184-4 3.272564+2 1.467875-4 3.302731+2 1.471670-4 3.316511+2 1.477110-4 3.320943+2 1.482583-4 3.309964+2 1.490414-4 3.274429+2 1.500678-4 3.207992+2 1.537516-4 2.964198+2 1.549175-4 2.902622+2 1.556558-4 2.878912+2 1.564016-4 2.873297+2 1.572591-4 2.888996+2 1.591501-4 2.949107+2 1.599148-4 2.959832+2 1.608609-4 2.956208+2 1.621811-4 2.928396+2 1.641129-4 2.873187+2 1.680000-4 2.788768+2 1.751908-4 2.687601+2 1.927525-4 2.487932+2 2.008847-4 2.393860+2 2.029805-4 2.362138+2 2.039730-4 2.356547+2 2.046546-4 2.359790+2 2.056002-4 2.374682+2 2.079842-4 2.439104+2 2.091249-4 2.461510+2 2.104140-4 2.471485+2 2.190000-4 2.460972+2 2.264644-4 2.474530+2 2.438239-4 2.525919+2 2.693660-4 2.613343+2 3.072000-4 2.745597+2 3.367075-4 2.827254+2 3.537872-4 2.861128+2 3.731301-4 2.884806+2 3.936917-4 2.888919+2 4.242027-4 2.855733+2 4.508720-4 2.784160+2 4.722057-4 2.696354+2 4.937862-4 2.578681+2 5.127535-4 2.448345+2 5.295315-4 2.308253+2 5.457268-4 2.149472+2 5.599610-4 1.987980+2 5.740701-4 1.805694+2 5.852797-4 1.643047+2 5.917177-4 1.542535+2 5.990554-4 1.420460+2 6.062452-4 1.292545+2 6.133737-4 1.157681+2 6.183723-4 1.058536+2 6.210477-4 1.003949+2 6.255680-4 9.094347+1 6.302489-4 8.088327+1 6.352914-4 6.980775+1 6.391152-4 6.133490+1 6.419098-4 5.517983+1 6.440372-4 5.057369+1 6.472282-4 4.393680+1 6.507612-4 3.732452+1 6.523097-4 3.484351+1 6.538386-4 3.277624+1 6.550122-4 3.153367+1 6.561695-4 3.069108+1 6.570735-4 3.036391+1 6.579045-4 3.037569+1 6.586437-4 3.068371+1 6.591533-4 3.108330+1 6.597195-4 3.172863+1 6.601735-4 3.241480+1 6.605570-4 3.312182+1 6.610598-4 3.424011+1 6.615672-4 3.560754+1 6.621795-4 3.760717+1 6.627104-4 3.967881+1 6.633006-4 4.238288+1 6.637023-4 4.448331+1 6.640981-4 4.677235+1 6.645655-4 4.977091+1 6.650543-4 5.326773+1 6.656273-4 5.786587+1 6.661873-4 6.290848+1 6.674333-4 7.622073+1 6.693915-4 1.035105+2 6.707131-4 1.266410+2 6.718851-4 1.504184+2 6.725083-4 1.643032+2 6.730397-4 1.768089+2 6.737256-4 1.938406+2 6.745140-4 2.146127+2 6.753206-4 2.371220+2 6.761583-4 2.617632+2 6.768351-4 2.825494+2 6.776376-4 3.081313+2 6.783957-4 3.331505+2 6.791568-4 3.590212+2 6.801283-4 3.930182+2 6.810968-4 4.278529+2 6.819794-4 4.602947+2 6.830365-4 4.998744+2 6.842889-4 5.475495+2 6.853476-4 5.883178+2 6.868582-4 6.468381+2 6.879806-4 6.902792+2 6.894381-4 7.461751+2 6.909100-4 8.014306+2 6.917165-4 8.309557+2 6.932386-4 8.847486+2 6.947334-4 9.345371+2 6.963750-4 9.850535+2 6.975835-4 1.019140+3 6.992809-4 1.062305+3 7.012090-4 1.104617+3 7.022887-4 1.125303+3 7.036068-4 1.147827+3 7.052982-4 1.172735+3 7.070127-4 1.193974+3 7.096105-4 1.219794+3 7.129212-4 1.243879+3 7.166187-4 1.261208+3 7.188590-4 1.267145+3 7.207660-4 1.269509+3 7.237848-4 1.268268+3 7.280000-4 1.257183+3 7.328245-4 1.234596+3 7.410726-4 1.188558+3 7.456524-4 1.166660+3 7.512014-4 1.146821+3 7.585776-4 1.130808+3 7.697652-4 1.120210+3 7.975351-4 1.111532+3 8.155126-4 1.110577+3 8.625583-4 1.114141+3 8.734741-4 1.109164+3 8.831596-4 1.099358+3 8.936955-4 1.082106+3 9.074047-4 1.054663+3 9.113895-4 1.051952+3 9.148712-4 1.054910+3 9.188485-4 1.065860+3 9.220976-4 1.080770+3 9.282416-4 1.119036+3 9.353937-4 1.165362+3 9.402978-4 1.190364+3 9.454420-4 1.209015+3 9.544769-4 1.227931+3 9.774610-4 1.252253+3 9.846967-4 1.265664+3 1.001768-3 1.311570+3 1.010633-3 1.332963+3 1.021250-3 1.352358+3 1.035142-3 1.370666+3 1.050948-3 1.385421+3 1.069651-3 1.396983+3 1.106541-3 1.406605+3 1.114728-3 1.413207+3 1.125694-3 1.428854+3 1.144101-3 1.459345+3 1.155529-3 1.473516+3 1.174898-3 1.489681+3 1.197085-3 1.501459+3 1.230269-3 1.514321+3 1.297068-3 1.529581+3 1.368516-3 1.536895+3 1.479108-3 1.539075+3 1.562565-3 1.531770+3 1.722860-3 1.504169+3 1.861377-3 1.475121+3 1.997417-3 1.441125+3 2.274362-3 1.369219+3 2.495426-3 1.308399+3 2.615171-3 1.276498+3 2.866645-3 1.207642+3 2.990623-3 1.174203+3 3.132517-3 1.135983+3 3.287570-3 1.094947+3 3.435085-3 1.055777+3 3.586981-3 1.015842+3 3.723381-3 9.791033+2 3.866034-3 9.396916+2 3.981072-3 9.068730+2 4.091049-3 8.742816+2 4.186956-3 8.443237+2 4.271965-3 8.158650+2 4.346835-3 7.888845+2 4.412998-3 7.629037+2 4.469347-3 7.384974+2 4.518041-3 7.149415+2 4.546772-3 6.994753+2 4.583712-3 6.770340+2 4.613738-3 6.556260+2 4.638648-3 6.347280+2 4.658497-3 6.156305+2 4.683707-3 5.887072+2 4.719371-3 5.513193+2 4.736222-3 5.380334+2 4.748467-3 5.316952+2 4.755016-3 5.296804+2 4.764518-3 5.285948+2 4.778556-3 5.310316+2 4.793973-3 5.388693+2 4.811248-3 5.527081+2 4.858840-3 6.005244+2 4.868374-3 6.092294+2 4.885970-3 6.232017+2 4.901729-3 6.331823+2 4.925000-3 6.436393+2 4.947863-3 6.494885+2 4.971241-3 6.516615+2 4.991790-3 6.510264+2 5.053374-3 6.445522+2 5.066343-3 6.448114+2 5.081895-3 6.469788+2 5.094644-3 6.504936+2 5.117802-3 6.608874+2 5.145364-3 6.784030+2 5.173090-3 6.980446+2 5.193996-3 7.118959+2 5.213955-3 7.232765+2 5.234288-3 7.326374+2 5.258900-3 7.409857+2 5.284013-3 7.465779+2 5.330949-3 7.518468+2 5.375933-3 7.565164+2 5.410431-3 7.643715+2 5.440365-3 7.751851+2 5.511901-3 8.070544+2 5.559043-3 8.240927+2 5.592008-3 8.330006+2 5.636194-3 8.421153+2 5.730030-3 8.552487+2 5.846644-3 8.654129+2 5.973791-3 8.712885+2 6.099722-3 8.735014+2 6.294911-3 8.722641+2 6.557176-3 8.644253+2 6.805979-3 8.521254+2 7.156444-3 8.311717+2 7.645566-3 7.969898+2 8.198794-3 7.562674+2 8.848355-3 7.092154+2 9.687362-3 6.523649+2 1.079053-2 5.855805+2 1.211682-2 5.175911+2 1.377407-2 4.482312+2 1.514101-2 4.011343+2 1.686068-2 3.511942+2 1.827821-2 3.160963+2 1.980066-2 2.832885+2 2.134753-2 2.542025+2 2.312397-2 2.253050+2 2.508893-2 1.978890+2 2.705298-2 1.743320+2 2.864148-2 1.574587+2 2.992592-2 1.448843+2 3.099180-2 1.348785+2 3.176603-2 1.276290+2 3.233191-2 1.221517+2 3.284989-2 1.167711+2 3.306372-2 1.143471+2 3.326135-2 1.119191+2 3.342694-2 1.096757+2 3.356801-2 1.075566+2 3.375733-2 1.043503+2 3.420799-2 9.606762+1 3.433656-2 9.434504+1 3.444193-2 9.345811+1 3.453891-2 9.313302+1 3.465697-2 9.338281+1 3.477979-2 9.430377+1 3.495237-2 9.636294+1 3.523464-2 1.001707+2 3.540905-2 1.021075+2 3.563343-2 1.038921+2 3.591641-2 1.052285+2 3.625955-2 1.060160+2 3.663176-2 1.063021+2 3.711358-2 1.061758+2 3.801722-2 1.051050+2 3.913615-2 1.029435+2 4.048553-2 9.970701+1 4.209386-2 9.552206+1 4.467020-2 8.878378+1 4.774265-2 8.123941+1 5.127720-2 7.338719+1 5.528836-2 6.554280+1 6.095369-2 5.615342+1 6.845087-2 4.633483+1 7.791200-2 3.708080+1 9.973285-2 2.395038+1 1.197085-1 1.723984+1 1.538215-1 1.087416+1 1.949185-1 6.996894+0 2.371347-1 4.824465+0 3.168874-1 2.759554+0 4.722584-1 1.267880+0 7.328245-1 5.340262-1 1.286622+0 1.748394-1 3.231848+0 2.783101-2 9.760024+0 3.053918-3 2.947480+1 3.348836-4 8.901248+1 3.671959-5 2.688134+2 4.026228-6 8.118035+2 4.414671-7 2.511886+3 4.611053-8 7.943282+3 4.611053-9 2.511886+4 4.61105-10 7.943282+4 4.61105-11 1.000000+5 2.90938-11 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.117400-6 1.258900-6 1.771000-6 1.584900-6 2.806800-6 1.995300-6 4.448400-6 2.511900-6 7.050300-6 3.162300-6 1.117400-5 3.981100-6 1.770900-5 5.011900-6 2.806700-5 6.309600-6 4.448300-5 7.943300-6 7.050000-5 1.000000-5 1.117300-4 1.258900-5 1.770800-4 1.584900-5 2.805800-4 1.995300-5 4.445200-4 2.511900-5 7.043000-4 3.162300-5 1.116000-3 3.981100-5 1.768400-3 5.011900-5 2.802200-3 6.309600-5 4.440700-3 7.943300-5 7.037000-3 1.000000-4 1.114800-2 1.258900-4 1.765400-2 1.584900-4 2.793300-2 1.995300-4 4.417900-2 2.511900-4 6.977700-2 3.162300-4 1.100000-1 3.981100-4 1.728700-1 5.011900-4 2.704300-1 6.309600-4 4.190700-1 7.943300-4 6.412600-1 1.000000-3 9.640500-1 1.258900-3 1.415900+0 1.584900-3 2.021700+0 1.995300-3 2.799000+0 2.511900-3 3.764200+0 3.162300-3 4.925400+0 3.981100-3 6.259200+0 5.011900-3 7.710900+0 6.309600-3 9.267400+0 7.943300-3 1.096900+1 1.000000-2 1.283900+1 1.258900-2 1.483200+1 1.584900-2 1.678800+1 1.995300-2 1.863900+1 2.511900-2 2.028600+1 3.162300-2 2.169900+1 3.981100-2 2.282800+1 5.011900-2 2.363000+1 6.309600-2 2.406200+1 7.943300-2 2.408500+1 1.000000-1 2.372100+1 1.258900-1 2.301100+1 1.584900-1 2.207100+1 1.995300-1 2.091300+1 2.511900-1 1.961100+1 3.162300-1 1.822200+1 3.981100-1 1.679800+1 5.011900-1 1.537700+1 6.309600-1 1.398400+1 7.943300-1 1.263200+1 1.000000+0 1.134400+1 1.258900+0 1.011900+1 1.584900+0 8.969300+0 1.995300+0 7.898600+0 2.511900+0 6.911200+0 3.162300+0 6.009800+0 3.981100+0 5.195200+0 5.011900+0 4.465700+0 6.309600+0 3.818700+0 7.943300+0 3.249700+0 1.000000+1 2.753200+0 1.258900+1 2.323200+0 1.584900+1 1.953200+0 1.995300+1 1.636700+0 2.511900+1 1.367300+0 3.162300+1 1.139200+0 3.981100+1 9.468400-1 5.011900+1 7.852100-1 6.309600+1 6.498700-1 7.943300+1 5.368800-1 1.000000+2 4.428000-1 1.258900+2 3.646600-1 1.584900+2 2.998900-1 1.995300+2 2.463100-1 2.511900+2 2.020600-1 3.162300+2 1.655900-1 3.981100+2 1.355600-1 5.011900+2 1.108700-1 6.309600+2 9.060200-2 7.943300+2 7.397700-2 1.000000+3 6.035600-2 1.258900+3 4.920800-2 1.584900+3 4.009100-2 1.995300+3 3.264300-2 2.511900+3 2.656200-2 3.162300+3 2.160100-2 3.981100+3 1.755700-2 5.011900+3 1.426300-2 6.309600+3 1.158100-2 7.943300+3 9.399100-3 1.000000+4 7.624600-3 1.258900+4 6.182400-3 1.584900+4 5.010900-3 1.995300+4 4.059800-3 2.511900+4 3.287900-3 3.162300+4 2.661800-3 3.981100+4 2.154100-3 5.011900+4 1.742700-3 6.309600+4 1.409400-3 7.943300+4 1.139500-3 1.000000+5 9.209300-4 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159545-4 3.981072-4 3.976747-4 5.011872-4 5.005031-4 6.309573-4 6.298742-4 7.943282-4 7.926243-4 1.000000-3 9.973137-4 1.258925-3 1.254710-3 1.584893-3 1.578297-3 1.995262-3 1.984986-3 2.511886-3 2.495869-3 3.162278-3 3.137300-3 3.981072-3 3.942318-3 5.011872-3 4.951824-3 6.309573-3 6.216536-3 7.943282-3 7.798748-3 1.000000-2 9.774987-3 1.258925-2 1.223942-2 1.584893-2 1.530723-2 1.995262-2 1.912047-2 2.511886-2 2.384423-2 3.162278-2 2.967842-2 3.981072-2 3.685659-2 5.011872-2 4.565926-2 6.309573-2 5.640224-2 7.943282-2 6.947957-2 1.000000-1 8.533101-2 1.258925-1 1.045157-1 1.584893-1 1.274487-1 1.995262-1 1.549701-1 2.511886-1 1.878031-1 3.162278-1 2.268658-1 3.981072-1 2.731680-1 5.011872-1 3.278744-1 6.309573-1 3.923826-1 7.943282-1 4.684765-1 1.000000+0 5.578134-1 1.258925+0 6.632289-1 1.584893+0 7.875059-1 1.995262+0 9.346153-1 2.511886+0 1.109138+0 3.162278+0 1.316863+0 3.981072+0 1.564856+0 5.011872+0 1.861621+0 6.309573+0 2.217841+0 7.943282+0 2.646345+0 1.000000+1 3.162948+0 1.258925+1 3.787015+0 1.584893+1 4.542161+0 1.995262+1 5.457378+0 2.511886+1 6.568204+0 3.162278+1 7.918052+0 3.981072+1 9.560696+0 5.011872+1 1.156137+1 6.309573+1 1.400102+1 7.943282+1 1.697865+1 1.000000+2 2.061598+1 1.258925+2 2.506320+1 1.584893+2 3.050481+1 1.995262+2 3.716857+1 2.511886+2 4.533338+1 3.162278+2 5.534594+1 3.981072+2 6.763045+1 5.011872+2 8.271377+1 6.309573+2 1.012428+2 7.943282+2 1.240184+2 1.000000+3 1.520288+2 1.258925+3 1.864919+2 1.584893+3 2.289162+2 1.995262+3 2.811778+2 2.511886+3 3.455617+2 3.162278+3 4.249378+2 3.981072+3 5.228238+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88236-10 1.995262-5 1.090721-9 2.511886-5 1.728646-9 3.162278-5 2.739708-9 3.981072-5 4.342112-9 5.011872-5 6.881655-9 6.309573-5 1.090632-8 7.943282-5 1.728448-8 1.000000-4 2.738946-8 1.258925-4 4.340162-8 1.584893-4 6.876030-8 1.995262-4 1.089407-7 2.511886-4 1.725597-7 3.162278-4 2.732342-7 3.981072-4 4.325040-7 5.011872-4 6.841785-7 6.309573-4 1.083161-6 7.943282-4 1.703885-6 1.000000-3 2.686330-6 1.258925-3 4.215806-6 1.584893-3 6.596193-6 1.995262-3 1.027641-5 2.511886-3 1.601758-5 3.162278-3 2.497742-5 3.981072-3 3.875323-5 5.011872-3 6.004785-5 6.309573-3 9.303791-5 7.943282-3 1.445345-4 1.000000-2 2.250134-4 1.258925-2 3.498347-4 1.584893-2 5.416997-4 1.995262-2 8.321514-4 2.511886-2 1.274633-3 3.162278-2 1.944359-3 3.981072-2 2.954128-3 5.011872-2 4.459462-3 6.309573-2 6.693491-3 7.943282-2 9.953258-3 1.000000-1 1.466899-2 1.258925-1 2.137685-2 1.584893-1 3.104066-2 1.995262-1 4.455615-2 2.511886-1 6.338558-2 3.162278-1 8.936202-2 3.981072-1 1.249392-1 5.011872-1 1.733128-1 6.309573-1 2.385747-1 7.943282-1 3.258517-1 1.000000+0 4.421866-1 1.258925+0 5.956965-1 1.584893+0 7.973873-1 1.995262+0 1.060647+0 2.511886+0 1.402749+0 3.162278+0 1.845415+0 3.981072+0 2.416216+0 5.011872+0 3.150252+0 6.309573+0 4.091733+0 7.943282+0 5.296938+0 1.000000+1 6.837052+0 1.258925+1 8.802239+0 1.584893+1 1.130677+1 1.995262+1 1.449525+1 2.511886+1 1.855066+1 3.162278+1 2.370472+1 3.981072+1 3.025002+1 5.011872+1 3.855735+1 6.309573+1 4.909471+1 7.943282+1 6.245417+1 1.000000+2 7.938402+1 1.258925+2 1.008293+2 1.584893+2 1.279845+2 1.995262+2 1.623577+2 2.511886+2 2.058553+2 3.162278+2 2.608818+2 3.981072+2 3.304767+2 5.011872+2 4.184735+2 6.309573+2 5.297146+2 7.943282+2 6.703098+2 1.000000+3 8.479712+2 1.258925+3 1.072434+3 1.584893+3 1.355977+3 1.995262+3 1.714085+3 2.511886+3 2.166325+3 3.162278+3 2.737340+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 1.096000-5 8.154120+7 1.120000-5 7.978760+7 1.148154-5 7.714463+7 1.174898-5 7.419793+7 1.202264-5 7.085391+7 1.230269-5 6.726154+7 1.235000-5 6.661238+7 1.235000-5 1.050740+8 1.260000-5 1.012386+8 1.285000-5 9.708860+7 1.288250-5 9.653778+7 1.307000-5 9.328608+7 1.320000-5 9.100128+7 1.340000-5 8.746641+7 1.364583-5 8.316432+7 1.370000-5 8.221446+7 1.400000-5 7.702108+7 1.412538-5 7.491663+7 1.430000-5 7.201521+7 1.470000-5 6.570668+7 1.515000-5 5.910337+7 1.531087-5 5.689683+7 1.570000-5 5.188270+7 1.621810-5 4.593048+7 1.630000-5 4.505647+7 1.717908-5 3.674508+7 1.778279-5 3.207366+7 1.862087-5 2.673845+7 2.089296-5 1.694052+7 2.162719-5 1.479262+7 2.300000-5 1.163761+7 2.361000-5 1.052130+7 2.361000-5 1.061114+7 2.371374-5 1.043183+7 2.398833-5 9.979324+6 2.511886-5 8.358290+6 2.520000-5 8.256520+6 2.570000-5 7.663277+6 2.580000-5 7.551271+6 2.610000-5 7.230311+6 2.635000-5 6.976157+6 2.665000-5 6.686152+6 2.691535-5 6.442478+6 2.720000-5 6.193679+6 2.730000-5 6.109257+6 2.750000-5 5.946795+6 2.770000-5 5.789931+6 2.795000-5 5.601334+6 2.818383-5 5.432120+6 2.820000-5 5.420761+6 2.840000-5 5.282865+6 2.860000-5 5.149523+6 2.890000-5 4.957661+6 2.920000-5 4.775074+6 2.951209-5 4.594399+6 2.985383-5 4.406747+6 3.020000-5 4.229217+6 3.060000-5 4.035716+6 3.090295-5 3.896966+6 3.109800-5 3.811730+6 3.170000-5 3.563986+6 3.235937-5 3.316883+6 3.400000-5 2.801214+6 3.427678-5 2.725196+6 3.500000-5 2.541028+6 3.507519-5 2.522861+6 3.589219-5 2.339335+6 3.672823-5 2.170302+6 3.770000-5 1.994684+6 3.801894-5 1.941388+6 3.850000-5 1.866625+6 3.950000-5 1.723839+6 4.030000-5 1.620709+6 4.073803-5 1.567922+6 4.150000-5 1.483613+6 4.216965-5 1.414787+6 4.265795-5 1.368053+6 4.365158-5 1.279591+6 4.400000-5 1.251286+6 4.518559-5 1.161533+6 4.650000-5 1.072940+6 4.677351-5 1.056258+6 4.850000-5 9.602150+5 4.900000-5 9.348415+5 5.011872-5 8.832641+5 5.069907-5 8.581284+5 5.188000-5 8.111266+5 5.400000-5 7.382674+5 5.432503-5 7.279675+5 5.623413-5 6.744857+5 5.688529-5 6.575996+5 5.800000-5 6.312272+5 5.821032-5 6.265495+5 5.956621-5 5.974105+5 6.095369-5 5.709793+5 6.150000-5 5.609761+5 6.237348-5 5.459249+5 6.400000-5 5.207612+5 6.500000-5 5.060490+5 6.531306-5 5.016921+5 6.760830-5 4.729000+5 6.778000-5 4.708270+5 6.778000-5 1.446475+6 6.800000-5 1.471497+6 6.837000-5 1.523989+6 6.839116-5 1.527656+6 6.868000-5 1.579273+6 6.890000-5 1.625858+6 6.918310-5 1.695676+6 6.940000-5 1.757681+6 6.970000-5 1.857834+6 6.984000-5 1.912169+6 6.984000-5 2.540265+6 7.000000-5 2.618968+6 7.015000-5 2.701189+6 7.030000-5 2.788851+6 7.040000-5 2.853198+6 7.060000-5 2.990429+6 7.070000-5 3.066437+6 7.092800-5 3.252900+6 7.100000-5 3.317945+6 7.124000-5 3.550444+6 7.130000-5 3.614167+6 7.150000-5 3.840878+6 7.161434-5 3.983038+6 7.180000-5 4.230914+6 7.190000-5 4.376797+6 7.210000-5 4.690145+6 7.220000-5 4.862018+6 7.244360-5 5.316517+6 7.250000-5 5.432401+6 7.277000-5 6.033441+6 7.285000-5 6.226741+6 7.300000-5 6.621753+6 7.328245-5 7.446396+6 7.330000-5 7.502265+6 7.340000-5 7.832446+6 7.344600-5 7.965374+6 7.365000-5 8.668994+6 7.400000-5 1.004323+7 7.413102-5 1.061858+7 7.420000-5 1.087259+7 7.435000-5 1.137514+7 7.470000-5 1.266158+7 7.500000-5 1.390115+7 7.503900-5 1.407143+7 7.540000-5 1.577861+7 7.560000-5 1.680884+7 7.585776-5 1.804255+7 7.635000-5 2.067069+7 7.650000-5 2.144531+7 7.710000-5 2.395973+7 7.730000-5 2.464810+7 7.852356-5 2.905289+7 7.860000-5 2.935606+7 7.910000-5 3.080029+7 7.930900-5 3.112320+7 7.943282-5 3.130266+7 8.095000-5 3.359731+7 8.110000-5 3.375086+7 8.128305-5 3.383160+7 8.155000-5 3.395580+7 8.222426-5 3.342575+7 8.370000-5 3.231730+7 8.400000-5 3.189579+7 8.413951-5 3.166419+7 8.650000-5 2.783839+7 8.710000-5 2.695872+7 8.728500-5 2.668288+7 8.800000-5 2.525744+7 9.015711-5 2.146803+7 9.070000-5 2.062226+7 9.110000-5 1.991253+7 9.120108-5 1.972131+7 9.354600-5 1.581784+7 9.549926-5 1.326882+7 9.580000-5 1.292240+7 9.623200-5 1.240838+7 9.660509-5 1.201657+7 9.772372-5 1.092380+7 9.900000-5 9.813115+6 1.023293-4 7.482512+6 1.035142-4 6.811823+6 1.047129-4 6.196942+6 1.059254-4 5.639206+6 1.071519-4 5.129844+6 1.083927-4 4.668200+6 1.109175-4 3.864151+6 1.150000-4 2.878756+6 1.161449-4 2.658098+6 1.202264-4 2.020724+6 1.220000-4 1.802695+6 1.244515-4 1.549657+6 1.260000-4 1.413807+6 1.288250-4 1.205984+6 1.290000-4 1.194603+6 1.315000-4 1.049405+6 1.318257-4 1.032671+6 1.335000-4 9.533271+5 1.341800-4 9.242003+5 1.350000-4 8.913365+5 1.365000-4 8.367384+5 1.380384-4 7.882609+5 1.385000-4 7.750006+5 1.396368-4 7.444635+5 1.400000-4 7.355143+5 1.412538-4 7.065832+5 1.415000-4 7.014081+5 1.430000-4 6.720200+5 1.445440-4 6.464546+5 1.462177-4 6.234011+5 1.479108-4 6.045420+5 1.479800-4 6.038676+5 1.479800-4 9.635736+5 1.480000-4 9.633630+5 1.496236-4 9.477991+5 1.513561-4 9.347774+5 1.531087-4 9.248954+5 1.548817-4 9.178651+5 1.550000-4 9.174752+5 1.566751-4 9.134256+5 1.570000-4 9.128347+5 1.584893-4 9.112712+5 1.590000-4 9.110100+5 1.603600-4 9.111937+5 1.606900-4 9.114129+5 1.606900-4 1.041282+6 1.610000-4 1.041794+6 1.621810-4 1.044494+6 1.627000-4 1.045700+6 1.630000-4 1.046543+6 1.639000-4 1.048682+6 1.650000-4 1.051946+6 1.670000-4 1.058119+6 1.680000-4 1.061729+6 1.705000-4 1.071236+6 1.715000-4 1.075396+6 1.720000-4 1.077351+6 1.740000-4 1.085783+6 1.750000-4 1.090117+6 1.778279-4 1.101519+6 1.800000-4 1.110701+6 1.850000-4 1.134115+6 1.862087-4 1.139722+6 1.883649-4 1.150242+6 1.905461-4 1.161226+6 1.927525-4 1.171476+6 1.972423-4 1.193893+6 1.980000-4 1.197461+6 1.995262-4 1.204384+6 2.041738-4 1.226741+6 2.065380-4 1.236774+6 2.083700-4 1.244866+6 2.083700-4 1.369783+6 2.097000-4 1.379907+6 2.110000-4 1.389104+6 2.113489-4 1.391428+6 2.125000-4 1.398362+6 2.148000-4 1.411310+6 2.150000-4 1.412373+6 2.162719-4 1.419261+6 2.170000-4 1.422940+6 2.187762-4 1.431482+6 2.190000-4 1.432493+6 2.220000-4 1.445340+6 2.238721-4 1.452937+6 2.250000-4 1.457023+6 2.264644-4 1.461985+6 2.285000-4 1.468323+6 2.290868-4 1.470004+6 2.317395-4 1.477372+6 2.330000-4 1.480331+6 2.344229-4 1.483346+6 2.380000-4 1.489970+6 2.400000-4 1.493321+6 2.430000-4 1.497126+6 2.450000-4 1.499168+6 2.483133-4 1.502179+6 2.500000-4 1.503062+6 2.511886-4 1.503672+6 2.540973-4 1.504501+6 2.580000-4 1.505333+6 2.600160-4 1.505016+6 2.660725-4 1.502872+6 2.691535-4 1.501802+6 2.722701-4 1.499071+6 2.730000-4 1.498438+6 2.754229-4 1.496448+6 2.786121-4 1.493567+6 2.800000-4 1.492324+6 2.851018-4 1.485414+6 2.900000-4 1.478962+6 2.917427-4 1.476653+6 2.951209-4 1.470712+6 3.054921-4 1.452222+6 3.100000-4 1.442357+6 3.126079-4 1.436673+6 3.200000-4 1.420925+6 3.235937-4 1.411867+6 3.350000-4 1.383676+6 3.427678-4 1.362565+6 3.467369-4 1.352083+6 3.507519-4 1.341576+6 3.548134-4 1.329607+6 3.630781-4 1.305963+6 3.700000-4 1.286749+6 3.801894-4 1.256732+6 3.890451-4 1.231371+6 3.930000-4 1.219941+6 3.935501-4 1.218293+6 4.027170-4 1.191480+6 4.073803-4 1.178208+6 4.120975-4 1.165071+6 4.168694-4 1.151498+6 4.365158-4 1.096317+6 4.430000-4 1.078696+6 4.518559-4 1.054593+6 4.623810-4 1.026749+6 4.677351-4 1.012786+6 4.731513-4 9.990003+5 4.786301-4 9.849482+5 4.897788-4 9.573380+5 4.954502-4 9.435235+5 5.011872-4 9.298420+5 5.128614-4 9.019551+5 5.188000-4 8.883248+5 5.248075-4 8.748966+5 5.370318-4 8.481316+5 5.400000-4 8.416765+5 5.432503-4 8.346685+5 5.500000-4 8.202663+5 5.650000-4 7.896321+5 5.821032-4 7.564648+5 5.888437-4 7.437271+5 5.956621-4 7.311501+5 6.000000-4 7.233305+5 6.025596-4 7.187437+5 6.095369-4 7.064434+5 6.100000-4 7.056387+5 6.237348-4 6.820984+5 6.456542-4 6.463934+5 6.531306-4 6.349135+5 6.700000-4 6.097303+5 6.775200-4 5.987045+5 6.775200-4 2.605427+6 6.839116-4 2.622443+6 6.909100-4 2.641430+6 6.909100-4 4.081366+6 6.937000-4 4.150940+6 6.950000-4 4.168635+6 7.000000-4 4.205169+6 7.079458-4 4.267071+6 7.080000-4 4.267509+6 7.084470-4 4.263048+6 7.161434-4 4.187596+6 7.170000-4 4.179350+6 7.213000-4 4.111566+6 7.220000-4 4.095304+6 7.244360-4 4.027608+6 7.280000-4 3.894106+6 7.310000-4 3.771551+6 7.321500-4 3.729269+6 7.350000-4 3.634249+6 7.365000-4 3.589198+6 7.400000-4 3.494805+6 7.413102-4 3.465485+6 7.440000-4 3.406314+6 7.450000-4 3.386472+6 7.480000-4 3.332301+6 7.520000-4 3.267848+6 7.540000-4 3.239034+6 7.585776-4 3.178155+6 7.673615-4 3.074883+6 7.762471-4 2.979355+6 7.852356-4 2.886866+6 7.858600-4 2.880587+6 7.943282-4 2.801679+6 7.950000-4 2.795537+6 8.000000-4 2.751844+6 8.105900-4 2.668392+6 8.200000-4 2.600838+6 8.222426-4 2.585520+6 8.280000-4 2.546793+6 8.317638-4 2.522674+6 8.511380-4 2.403407+6 8.609938-4 2.345915+6 8.709636-4 2.288410+6 8.810489-4 2.215859+6 8.912509-4 2.158787+6 9.015711-4 2.103195+6 9.200000-4 2.008847+6 9.225714-4 2.017171+6 9.265600-4 1.998891+6 9.265600-4 2.273531+6 9.332543-4 2.241952+6 9.440609-4 2.192312+6 9.549926-4 2.143837+6 9.630000-4 2.104205+6 9.660509-4 2.089242+6 9.885531-4 1.990265+6 9.894700-4 1.986379+6 9.894700-4 2.087419+6 9.985000-4 2.053205+6 1.000000-3 2.047412+6 1.004000-3 2.031944+6 1.011579-3 2.002250+6 1.017000-3 1.981457+6 1.023800-3 1.955457+6 1.030000-3 1.931691+6 1.035142-3 1.912284+6 1.040000-3 1.894024+6 1.047129-3 1.867184+6 1.059254-3 1.822155+6 1.083927-3 1.735501+6 1.100000-3 1.681861+6 1.122000-3 1.612139+6 1.122000-3 1.680696+6 1.122018-3 1.680640+6 1.135011-3 1.640569+6 1.148154-3 1.601464+6 1.161449-3 1.562725+6 1.188502-3 1.488187+6 1.190000-3 1.484222+6 1.202264-3 1.452458+6 1.216186-3 1.417176+6 1.230269-3 1.382304+6 1.244515-3 1.348107+6 1.258925-3 1.314765+6 1.300000-3 1.225231+6 1.303167-3 1.218710+6 1.318257-3 1.188115+6 1.333521-3 1.158112+6 1.348963-3 1.128843+6 1.350000-3 1.126918+6 1.364583-3 1.100326+6 1.412538-3 1.019231+6 1.428894-3 9.930543+5 1.462177-3 9.427744+5 1.479108-3 9.183935+5 1.513561-3 8.715571+5 1.531087-3 8.487491+5 1.548817-3 8.264495+5 1.570000-3 8.009365+5 1.621810-3 7.428401+5 1.640590-3 7.232732+5 1.659587-3 7.041893+5 1.698244-3 6.672782+5 1.717908-3 6.495947+5 1.730000-3 6.390591+5 1.737801-3 6.323463+5 1.757924-3 6.154930+5 1.819701-3 5.675131+5 1.883649-3 5.229606+5 1.905461-3 5.088086+5 1.927525-3 4.950493+5 1.950000-3 4.815820+5 1.995262-3 4.559229+5 2.000000-3 4.533412+5 2.020000-3 4.426777+5 2.041738-3 4.314900+5 2.113489-3 3.971366+5 2.137962-3 3.863236+5 2.150000-3 3.811580+5 2.162719-3 3.757880+5 2.213095-3 3.554110+5 2.220000-3 3.527268+5 2.264644-3 3.360594+5 2.290868-3 3.267931+5 2.317395-3 3.177488+5 2.371374-3 3.003852+5 2.398833-3 2.920759+5 2.400000-3 2.917303+5 2.454709-3 2.760779+5 2.511886-3 2.609866+5 2.540973-3 2.536893+5 2.570396-3 2.465893+5 2.600160-3 2.396964+5 2.630268-3 2.330062+5 2.722701-3 2.140192+5 2.754229-3 2.080192+5 2.786121-3 2.021530+5 2.800000-3 1.996729+5 2.851018-3 1.909179+5 2.917427-3 1.802260+5 2.951209-3 1.751152+5 2.985383-3 1.701562+5 3.054921-3 1.606762+5 3.090295-3 1.561245+5 3.126079-3 1.517047+5 3.162278-3 1.473897+5 3.198895-3 1.431995+5 3.235937-3 1.391106+5 3.311311-3 1.312875+5 3.349654-3 1.275411+5 3.400000-3 1.228526+5 3.427678-3 1.203676+5 3.507519-3 1.135427+5 3.548134-3 1.102707+5 3.589219-3 1.070823+5 3.650000-3 1.026021+5 3.672823-3 1.009886+5 3.801894-3 9.251715+4 3.890451-3 8.728097+4 3.900000-3 8.673953+4 3.935501-3 8.475524+4 3.981072-3 8.228949+4 4.000000-3 8.129448+4 4.073803-3 7.757384+4 4.168694-3 7.312397+4 4.216965-3 7.100002+4 4.315191-3 6.694146+4 4.365158-3 6.499140+4 4.466836-3 6.123966+4 4.518559-3 5.944662+4 4.570882-3 5.770460+4 4.600000-3 5.676403+4 4.677351-3 5.436815+4 4.731513-3 5.277500+4 4.774700-3 5.155208+4 4.774700-3 1.552572+5 4.852000-3 1.492837+5 4.897788-3 1.461095+5 4.925000-3 1.442621+5 4.954502-3 1.419734+5 4.985000-3 1.396574+5 5.011872-3 1.377345+5 5.069907-3 1.337060+5 5.103900-3 1.314218+5 5.103900-3 1.803805+5 5.128614-3 1.779584+5 5.165000-3 1.744025+5 5.248075-3 1.676731+5 5.250000-3 1.675215+5 5.300000-3 1.633548+5 5.310000-3 1.625382+5 5.370318-3 1.578376+5 5.416900-3 1.543363+5 5.416900-3 1.778207+5 5.432503-3 1.765624+5 5.500000-3 1.711885+5 5.559043-3 1.666673+5 5.575000-3 1.654739+5 5.623413-3 1.619018+5 5.700000-3 1.564706+5 5.754399-3 1.528134+5 5.821032-3 1.484973+5 5.888437-3 1.443066+5 5.900000-3 1.435971+5 6.095369-3 1.321504+5 6.237348-3 1.246190+5 6.309573-3 1.209874+5 6.382635-3 1.174620+5 6.456542-3 1.140403+5 6.531306-3 1.106945+5 6.606934-3 1.074485+5 6.760830-3 1.012465+5 6.800000-3 9.974921+4 6.918310-3 9.538386+4 7.079458-3 8.981204+4 7.244360-3 8.457000+4 7.328245-3 8.206797+4 7.413102-3 7.963382+4 7.498942-3 7.727296+4 7.500000-3 7.724447+4 7.852356-3 6.851880+4 7.943282-3 6.649023+4 8.035261-3 6.450838+4 8.222426-3 6.073686+4 8.317638-3 5.892942+4 8.413951-3 5.717730+4 8.500000-3 5.567314+4 8.511380-3 5.547833+4 8.609938-3 5.383050+4 8.810489-3 5.065868+4 8.912509-3 4.914358+4 9.015711-3 4.767277+4 9.120108-3 4.624674+4 9.332543-3 4.352451+4 9.440609-3 4.222272+4 9.549926-3 4.094422+4 9.660509-3 3.970518+4 9.800000-3 3.821580+4 9.885531-3 3.734080+4 1.000000-2 3.621179+4 1.011579-2 3.510999+4 1.035142-2 3.300699+4 1.047129-2 3.200427+4 1.071519-2 3.009054+4 1.083927-2 2.917817+4 1.096478-2 2.829411+4 1.120000-2 2.673563+4 1.122018-2 2.660659+4 1.135011-2 2.579320+4 1.148154-2 2.500100+4 1.161449-2 2.423379+4 1.174898-2 2.349019+4 1.188502-2 2.277003+4 1.216186-2 2.139667+4 1.230269-2 2.074219+4 1.244515-2 2.010761+4 1.258925-2 1.949292+4 1.273503-2 1.889363+4 1.300000-2 1.786399+4 1.303167-2 1.774561+4 1.333521-2 1.666454+4 1.364583-2 1.565018+4 1.380384-2 1.516699+4 1.396368-2 1.469913+4 1.428894-2 1.380723+4 1.445440-2 1.338191+4 1.450000-2 1.326707+4 1.479108-2 1.256439+4 1.513561-2 1.179787+4 1.531087-2 1.143025+4 1.566751-2 1.072942+4 1.584893-2 1.039562+4 1.621810-2 9.756954+3 1.640590-2 9.452891+3 1.659587-2 9.158541+3 1.678804-2 8.873277+3 1.698244-2 8.596861+3 1.730000-2 8.170512+3 1.737801-2 8.069605+3 1.757924-2 7.817164+3 1.798871-2 7.336021+3 1.819701-2 7.106946+3 1.840772-2 6.883871+3 1.862087-2 6.667939+3 1.883649-2 6.458951+3 1.905461-2 6.256472+3 1.927525-2 6.059877+3 1.949845-2 5.869607+3 1.950000-2 5.868314+3 1.972423-2 5.684559+3 2.018366-2 5.331822+3 2.089296-2 4.844034+3 2.137962-2 4.544448+3 2.162719-2 4.401841+3 2.213095-2 4.128626+3 2.238721-2 3.998616+3 2.317395-2 3.629697+3 2.344229-2 3.514442+3 2.398833-2 3.295053+3 2.426610-2 3.190658+3 2.483133-2 2.991920+3 2.511886-2 2.897357+3 2.540973-2 2.805759+3 2.570396-2 2.717109+3 2.600160-2 2.630964+3 2.630268-2 2.547438+3 2.650000-2 2.494674+3 2.700000-2 2.366558+3 2.722701-2 2.311351+3 2.754229-2 2.237490+3 2.786121-2 2.166046+3 2.851018-2 2.030062+3 2.884032-2 1.965379+3 2.917427-2 1.902808+3 2.985383-2 1.783610+3 3.000000-2 1.759325+3 3.019952-2 1.726899+3 3.054921-2 1.672025+3 3.090295-2 1.618934+3 3.126079-2 1.567274+3 3.162278-2 1.516902+3 3.200000-2 1.466726+3 3.235937-2 1.420963+3 3.311311-2 1.331149+3 3.388442-2 1.247134+3 3.389150-2 1.246396+3 3.427678-2 1.207151+3 3.455600-2 1.179763+3 3.455600-2 7.086779+3 3.467369-2 7.015858+3 3.480000-2 6.940799+3 3.548134-2 6.616976+3 3.565000-2 6.540120+3 3.589219-2 6.419495+3 3.640000-2 6.176272+3 3.672823-2 6.036994+3 3.715352-2 5.862741+3 3.758374-2 5.693444+3 3.801894-2 5.528975+3 3.810000-2 5.499077+3 4.000000-2 4.828597+3 4.027170-2 4.742069+3 4.073803-2 4.598472+3 4.168694-2 4.328694+3 4.216965-2 4.199831+3 4.265795-2 4.074818+3 4.315191-2 3.953542+3 4.415704-2 3.721453+3 4.466836-2 3.610565+3 4.518559-2 3.502990+3 4.570882-2 3.398592+3 4.677351-2 3.194511+3 4.786301-2 3.002685+3 4.841724-2 2.911146+3 4.897788-2 2.822410+3 4.954502-2 2.736389+3 5.011872-2 2.653000+3 5.069907-2 2.572157+3 5.188000-2 2.417616+3 5.370318-2 2.199811+3 5.495409-2 2.065654+3 5.623413-2 1.939700+3 5.821032-2 1.765011+3 5.956621-2 1.657404+3 6.000000-2 1.624877+3 6.025596-2 1.606069+3 6.095369-2 1.556290+3 6.165950-2 1.508059+3 6.500000-2 1.305442+3 6.531306-2 1.288115+3 7.079458-2 1.029561+3 7.244360-2 9.656684+2 7.413102-2 9.057452+2 7.498942-2 8.771892+2 7.673615-2 8.227561+2 7.762471-2 7.968206+2 8.035261-2 7.238279+2 8.128305-2 7.010177+2 8.317638-2 6.569697+2 8.413951-2 6.359971+2 8.511380-2 6.156952+2 8.810489-2 5.585409+2 9.015711-2 5.234208+2 9.885531-2 4.036875+2 1.000000-1 3.907946+2 1.035142-1 3.545385+2 1.047129-1 3.430971+2 1.059254-1 3.320149+2 1.109175-1 2.911542+2 1.174898-1 2.470769+2 1.188502-1 2.390985+2 1.202264-1 2.313778+2 1.230269-1 2.166787+2 1.288250-1 1.900266+2 1.303167-1 1.838943+2 1.318257-1 1.779601+2 1.333521-1 1.722180+2 1.364583-1 1.612841+2 1.380384-1 1.560808+2 1.396368-1 1.510422+2 1.445440-1 1.368820+2 1.462177-1 1.324639+2 1.500000-1 1.231651+2 1.548817-1 1.124238+2 1.566751-1 1.087961+2 1.584893-1 1.052862+2 1.621810-1 9.860273+1 1.640590-1 9.542192+1 1.659587-1 9.234399+1 1.678804-1 8.936545+1 1.717908-1 8.369403+1 1.757924-1 7.838271+1 1.798871-1 7.340888+1 1.862087-1 6.653512+1 1.883649-1 6.439011+1 1.927525-1 6.030629+1 1.949845-1 5.836261+1 1.972423-1 5.648174+1 2.018366-1 5.290024+1 2.065380-1 4.954653+1 2.113489-1 4.643283+1 2.162719-1 4.351543+1 2.187762-1 4.212657+1 2.213095-1 4.078206+1 2.238721-1 3.948051+1 2.264644-1 3.822050+1 2.290868-1 3.700200+1 2.317395-1 3.582241+1 2.371374-1 3.357493+1 2.398833-1 3.250468+1 2.426610-1 3.146861+1 2.454709-1 3.046576+1 2.483133-1 2.949511+1 2.511886-1 2.855541+1 2.570396-1 2.678637+1 2.600160-1 2.594345+1 2.630268-1 2.512705+1 2.660725-1 2.433655+1 2.691535-1 2.357093+1 2.722701-1 2.282942+1 2.754229-1 2.211123+1 2.786121-1 2.141675+1 2.851018-1 2.009280+1 2.884032-1 1.946182+1 2.917427-1 1.885075+1 2.951209-1 1.825887+1 2.985383-1 1.769486+1 3.000060-1 1.745993+1 3.019952-1 1.714833+1 3.054921-1 1.661873+1 3.090295-1 1.610549+1 3.126079-1 1.560823+1 3.162278-1 1.512646+1 3.198895-1 1.465967+1 3.235937-1 1.420728+1 3.273407-1 1.376889+1 3.388442-1 1.253517+1 3.427678-1 1.215557+1 3.467369-1 1.178757+1 3.548134-1 1.108466+1 3.589219-1 1.074916+1 3.630781-1 1.042383+1 3.758374-1 9.506084+0 3.801894-1 9.219015+0 3.845918-1 8.940699+0 3.890451-1 8.675915+0 3.981072-1 8.169686+0 4.027170-1 7.927835+0 4.073803-1 7.693140+0 4.120975-1 7.465400+0 4.168694-1 7.244400+0 4.216965-1 7.030034+0 4.265795-1 6.822064+0 4.315191-1 6.620665+0 4.365158-1 6.425220+0 4.415705-1 6.239503+0 4.466836-1 6.059182+0 4.623810-1 5.549000+0 4.731513-1 5.233056+0 4.786301-1 5.081974+0 4.841724-1 4.935588+0 4.897788-1 4.793423+0 4.954502-1 4.658461+0 5.000000-1 4.554037+0 5.069907-1 4.399910+0 5.248075-1 4.038850+0 5.308844-1 3.925220+0 5.370318-1 3.814843+0 5.432503-1 3.707833+0 5.495409-1 3.606148+0 5.559043-1 3.507276+0 5.623413-1 3.411142+0 5.754399-1 3.226729+0 5.821032-1 3.138301+0 5.888437-1 3.052301+0 5.956621-1 2.968661+0 6.025596-1 2.887354+0 6.095369-1 2.810348+0 6.237348-1 2.662518+0 6.309573-1 2.591554+0 6.382635-1 2.522486+0 6.531306-1 2.389833+0 6.606935-1 2.326146+0 6.683439-1 2.264366+0 6.839117-1 2.148724+0 6.918310-1 2.093137+0 6.998420-1 2.039000+0 7.079458-1 1.986263+0 7.161434-1 1.934893+0 7.244360-1 1.884852+0 7.328245-1 1.836106+0 7.413102-1 1.788788+0 7.498942-1 1.743961+0 7.585776-1 1.700257+0 7.673615-1 1.657651+0 7.852356-1 1.575629+0 8.035261-1 1.497668+0 8.222427-1 1.423583+0 8.413951-1 1.355456+0 8.511380-1 1.322626+0 8.609938-1 1.290592+0 8.709636-1 1.259341+0 8.810489-1 1.228848+0 9.015711-1 1.170061+0 9.120108-1 1.141740+0 9.225714-1 1.114955+0 9.332543-1 1.088799+0 9.440609-1 1.063351+0 9.549926-1 1.038502+0 9.660509-1 1.014234+0 9.772372-1 9.905434-1 9.885531-1 9.674077-1 1.000000+0 9.448236-1 1.011579+0 9.232957-1 1.023293+0 9.023132-1 1.035142+0 8.818090-1 1.047129+0 8.617751-1 1.059254+0 8.421997-1 1.071519+0 8.230771-1 1.083927+0 8.043883-1 1.096478+0 7.861251-1 1.109175+0 7.682757-1 1.135011+0 7.337849-1 1.148154+0 7.171350-1 1.161449+0 7.014510-1 1.174898+0 6.861122-1 1.188600+0 6.710069-1 1.202264+0 6.564416-1 1.216186+0 6.420948-1 1.230269+0 6.280618-1 1.250000+0 6.091776-1 1.258925+0 6.009395-1 1.273503+0 5.881598-1 1.288250+0 5.756525-1 1.303167+0 5.634120-1 1.318257+0 5.514317-1 1.333521+0 5.397067-1 1.348963+0 5.282327-1 1.364583+0 5.170048-1 1.380384+0 5.060183-1 1.396368+0 4.952652-1 1.412538+0 4.847406-1 1.428894+0 4.744409-1 1.445440+0 4.643899-1 1.462177+0 4.548549-1 1.479108+0 4.455155-1 1.513561+0 4.274079-1 1.531087+0 4.186338-1 1.548817+0 4.100393-1 1.584893+0 3.933795-1 1.603245+0 3.853334-1 1.640590+0 3.702177-1 1.659587+0 3.628842-1 1.678804+0 3.556964-1 1.698244+0 3.486508-1 1.757924+0 3.283445-1 1.778279+0 3.218422-1 1.798871+0 3.154909-1 1.819701+0 3.094569-1 1.840772+0 3.035384-1 1.862087+0 2.977330-1 1.883649+0 2.920390-1 1.905461+0 2.864542-1 1.927525+0 2.809765-1 1.972423+0 2.703348-1 2.000000+0 2.641137-1 2.018366+0 2.601104-1 2.041738+0 2.553014-1 2.044000+0 2.548440-1 2.089296+0 2.459550-1 2.113489+0 2.414111-1 2.137962+0 2.369515-1 2.162719+0 2.325742-1 2.187762+0 2.282780-1 2.238721+0 2.199234-1 2.264644+0 2.158615-1 2.290868+0 2.118882-1 2.317395+0 2.081061-1 2.371374+0 2.007481-1 2.398833+0 1.971675-1 2.426610+0 1.936510-1 2.454709+0 1.901972-1 2.483133+0 1.868051-1 2.570396+0 1.769888-1 2.600160+0 1.738327-1 2.630268+0 1.707440-1 2.660725+0 1.678027-1 2.722701+0 1.620749-1 2.754229+0 1.592848-1 2.786121+0 1.565431-1 2.818383+0 1.538485-1 2.851018+0 1.512004-1 2.951209+0 1.435275-1 3.000000+0 1.400223-1 3.019952+0 1.386347-1 3.054921+0 1.363285-1 3.126079+0 1.318334-1 3.162278+0 1.296418-1 3.198895+0 1.274869-1 3.235937+0 1.253677-1 3.311311+0 1.212347-1 3.427678+0 1.152901-1 3.467369+0 1.133740-1 3.507519+0 1.114962-1 3.548134+0 1.097050-1 3.630781+0 1.062107-1 3.672823+0 1.045056-1 3.715352+0 1.028280-1 3.758374+0 1.011774-1 3.845918+0 9.795518-2 4.000000+0 9.269397-2 4.027170+0 9.181628-2 4.073803+0 9.034761-2 4.120975+0 8.894472-2 4.216965+0 8.620568-2 4.265795+0 8.486804-2 4.315191+0 8.355121-2 4.365158+0 8.225486-2 4.415704+0 8.097861-2 4.518559+0 7.848526-2 4.677351+0 7.488893-2 4.731513+0 7.372714-2 4.786301+0 7.258723-2 4.841724+0 7.149730-2 4.954502+0 6.936765-2 5.011872+0 6.832680-2 5.069907+0 6.730161-2 5.128614+0 6.629181-2 5.188000+0 6.529719-2 5.370318+0 6.240197-2 5.559043+0 5.963551-2 5.623413+0 5.874089-2 5.688529+0 5.786257-2 5.754399+0 5.702176-2 5.888437+0 5.537760-2 6.000000+0 5.407262-2 6.025596+0 5.378096-2 6.095369+0 5.300003-2 6.165950+0 5.223044-2 6.456542+0 4.926229-2 6.683439+0 4.714767-2 6.760830+0 4.646316-2 6.839116+0 4.579071-2 6.918310+0 4.514592-2 7.079458+0 4.388418-2 7.244360+0 4.265776-2 7.413102+0 4.146570-2 7.498942+0 4.088222-2 7.852356+0 3.862930-2 8.128305+0 3.702168-2 8.222427+0 3.650081-2 8.317638+0 3.598885-2 8.413951+0 3.549770-2 8.511380+0 3.501325-2 8.709636+0 3.406413-2 8.810489+0 3.359926-2 9.015711+0 3.268854-2 9.225714+0 3.180249-2 9.772372+0 2.969108-2 1.023293+1 2.810352-2 1.035142+1 2.772125-2 1.047129+1 2.735407-2 1.071519+1 2.663433-2 1.083927+1 2.628157-2 1.100000+1 2.583740-2 1.135011+1 2.491677-2 1.230269+1 2.269672-2 1.303167+1 2.123328-2 1.318257+1 2.095278-2 1.333521+1 2.068243-2 1.348963+1 2.041575-2 1.380384+1 1.989270-2 1.400000+1 1.957881-2 1.412538+1 1.938305-2 1.445440+1 1.888648-2 1.513561+1 1.793121-2 1.678804+1 1.595494-2 1.737801+1 1.534742-2 1.757924+1 1.515528-2 1.778279+1 1.496560-2 1.819701+1 1.459363-2 1.840772+1 1.441113-2 1.883649+1 1.405297-2 2.264644+1 1.149048-2 2.511886+1 1.026246-2 2.540973+1 1.013694-2 2.570396+1 1.001298-2 2.630268+1 9.769750-3 2.660725+1 9.650364-3 3.090295+1 8.224975-3 3.548134+1 7.098835-3 3.589219+1 7.013685-3 3.630781+1 6.929565-3 3.672823+1 6.846460-3 3.715352+1 6.764391-3 3.758374+1 6.683307-3 3.801894+1 6.603196-3 3.845918+1 6.524052-3 4.570882+1 5.444610-3 5.432503+1 4.545090-3 5.495409+1 4.491467-3 5.559043+1 4.438482-3 5.623413+1 4.386125-3 5.688529+1 4.334401-3 5.754399+1 4.283293-3 5.821032+1 4.232788-3 5.888437+1 4.182880-3 6.000000+1 4.102781-3 7.244360+1 3.378797-3 8.912509+1 2.730100-3 9.120108+1 2.666882-3 9.225714+1 2.635827-3 9.332543+1 2.605133-3 9.549926+1 2.544829-3 9.660509+1 2.515205-3 9.772372+1 2.485926-3 9.885531+1 2.456988-3 1.000000+2 2.428387-3 1.011579+2 2.400120-3 1.023293+2 2.372182-3 1.035142+2 2.344570-3 1.364583+2 1.770220-3 1.778279+2 1.352622-3 1.819701+2 1.321545-3 1.840772+2 1.306276-3 1.862087+2 1.291184-3 1.905461+2 1.261524-3 1.927525+2 1.246951-3 1.949845+2 1.232547-3 1.972423+2 1.218310-3 1.995262+2 1.204237-3 2.018366+2 1.190326-3 2.041738+2 1.176577-3 2.065380+2 1.162986-3 2.722701+2 8.799888-4 3.548134+2 6.737537-4 3.630781+2 6.583611-4 3.672823+2 6.507977-4 3.715352+2 6.433211-4 3.801894+2 6.286259-4 3.845918+2 6.214050-4 3.890451+2 6.142672-4 3.935501+2 6.072111-4 3.981072+2 6.002363-4 4.027170+2 5.933416-4 4.073803+2 5.865261-4 4.120975+2 5.797891-4 1.083927+3 2.196903-4 1.412538+3 1.684433-4 1.445440+3 1.646074-4 1.462177+3 1.627224-4 1.479108+3 1.608590-4 1.513561+3 1.571961-4 1.531087+3 1.553961-4 1.548817+3 1.536166-4 1.566751+3 1.518576-4 1.584893+3 1.501187-4 1.603245+3 1.483998-4 1.621810+3 1.467005-4 1.640590+3 1.450207-4 1.000000+5 2.376049-6 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 1.096000-5 1.096000-5 1.235000-5 1.096000-5 1.235000-5 1.146880-5 1.470000-5 1.153412-5 2.361000-5 1.154795-5 2.361000-5 1.165007-5 2.795000-5 1.160785-5 3.109800-5 1.164676-5 3.427678-5 1.175858-5 3.801894-5 1.198320-5 4.216965-5 1.233010-5 4.850000-5 1.298452-5 5.688529-5 1.387605-5 6.237348-5 1.438032-5 6.778000-5 1.478886-5 6.778000-5 2.710128-5 6.868000-5 2.773810-5 6.984000-5 2.879501-5 6.984000-5 2.961466-5 7.220000-5 3.126959-5 7.344600-5 3.192186-5 7.435000-5 3.221182-5 7.635000-5 3.245229-5 8.800000-5 3.241861-5 9.900000-5 3.214518-5 1.083927-4 3.171329-5 1.161449-4 3.113909-5 1.220000-4 3.054740-5 1.315000-4 2.933020-5 1.400000-4 2.822948-5 1.445440-4 2.779066-5 1.479800-4 2.757674-5 1.479800-4 4.140290-5 1.531087-4 4.174804-5 1.590000-4 4.186108-5 1.606900-4 4.184925-5 1.606900-4 4.460978-5 1.670000-4 4.450061-5 1.750000-4 4.407013-5 1.927525-4 4.281580-5 2.083700-4 4.200811-5 2.083700-4 4.478352-5 2.187762-4 4.473198-5 2.600160-4 4.374550-5 2.917427-4 4.333639-5 3.467369-4 4.305674-5 4.168694-4 4.306791-5 5.370318-4 4.340468-5 6.775200-4 4.398013-5 6.775200-4 7.380020-5 6.909100-4 7.421110-5 6.909100-4 7.688570-5 7.084470-4 7.730811-5 7.244360-4 7.722669-5 7.450000-4 7.657825-5 8.000000-4 7.611798-5 9.265600-4 7.587734-5 9.265600-4 8.309661-5 9.894700-4 8.362551-5 9.894700-4 8.624295-5 1.040000-3 8.701754-5 1.122000-3 8.777717-5 1.122000-3 9.107400-5 1.303167-3 9.322010-5 1.730000-3 9.726141-5 2.162719-3 1.006335-4 2.754229-3 1.043336-4 3.427678-3 1.076793-4 4.216965-3 1.108008-4 4.774700-3 1.126300-4 4.774700-3 1.584518-4 5.103900-3 1.589079-4 5.103900-3 1.673523-4 5.416900-3 1.675531-4 5.416900-3 1.751308-4 7.500000-3 1.781078-4 1.122018-2 1.817819-4 1.678804-2 1.854665-4 2.426610-2 1.888070-4 3.455600-2 1.918686-4 3.455600-2 1.940036-4 8.511380-2 1.949865-4 3.273407-1 1.956336-4 1.000000+5 1.957954-4 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.096000-5 0.0 6.984000-5 0.0 6.984000-5 1.461481-9 7.000000-5 1.449225-9 7.015000-5 1.434449-9 7.060000-5 1.396983-9 7.070000-5 1.386824-9 7.130000-5 1.336924-9 7.190000-5 1.290410-9 7.277000-5 1.230544-9 7.330000-5 1.199625-9 7.340000-5 1.194847-9 7.344600-5 1.196197-9 7.365000-5 1.190062-9 7.400000-5 1.185620-9 7.413102-5 1.186120-9 7.420000-5 1.193105-9 7.435000-5 1.215860-9 7.470000-5 1.276348-9 7.503900-5 1.342438-9 7.540000-5 1.421305-9 7.560000-5 1.455117-9 7.635000-5 1.608491-9 7.650000-5 1.647978-9 7.710000-5 1.880728-9 7.730000-5 1.921450-9 7.860000-5 2.144624-9 7.910000-5 2.277734-9 7.943282-5 2.307404-9 8.095000-5 2.430378-9 8.110000-5 2.448534-9 8.155000-5 2.522652-9 8.370000-5 2.602400-9 8.413951-5 2.590688-9 8.728500-5 2.521317-9 9.070000-5 2.605816-9 9.120108-5 2.596849-9 9.354600-5 2.593834-9 9.580000-5 2.578908-9 9.623200-5 2.565946-9 1.059254-4 2.514252-9 1.109175-4 2.475155-9 1.161449-4 2.416063-9 1.202264-4 2.357450-9 1.220000-4 2.328203-9 1.260000-4 2.250891-9 1.315000-4 2.123497-9 1.380384-4 1.954427-9 1.415000-4 1.865469-9 1.445440-4 1.795610-9 1.462177-4 1.761230-9 1.479800-4 1.728807-9 1.479800-4 2.199055-9 1.531087-4 2.171083-9 1.590000-4 2.153234-9 1.606900-4 2.150117-9 1.606900-4 2.813215-9 1.650000-4 2.819806-9 1.720000-4 2.807345-9 1.750000-4 2.796241-9 1.862087-4 2.737523-9 1.972423-4 2.703201-9 2.083700-4 2.686779-9 2.083700-4 3.002479-9 2.125000-4 3.019466-9 2.220000-4 3.033961-9 2.344229-4 3.032903-9 2.600160-4 3.013038-9 2.917427-4 3.006580-9 3.700000-4 3.021255-9 5.500000-4 3.089857-9 6.775200-4 3.139897-9 6.775200-4 3.868748-9 6.909100-4 3.879806-9 6.909100-4 1.053543-7 6.937000-4 1.079441-7 6.950000-4 1.084759-7 7.080000-4 1.159561-7 7.170000-4 1.144806-7 7.213000-4 1.145011-7 7.220000-4 1.142721-7 7.244360-4 1.129561-7 7.280000-4 1.120796-7 7.321500-4 1.100106-7 7.365000-4 1.080369-7 7.440000-4 1.054208-7 7.480000-4 1.044007-7 7.520000-4 1.036856-7 7.585776-4 1.029302-7 7.673615-4 1.024317-7 7.858600-4 1.019809-7 8.105900-4 1.010448-7 8.317638-4 1.007354-7 8.709636-4 1.006140-7 8.810489-4 9.921246-8 9.200000-4 9.835045-8 9.225714-4 1.003064-7 9.265600-4 1.003555-7 9.265600-4 1.590607-7 9.549926-4 1.615564-7 9.660509-4 1.620546-7 9.894700-4 1.637280-7 9.894700-4 1.956072-7 1.004000-3 1.989710-7 1.023800-3 2.020796-7 1.059254-3 2.058781-7 1.122000-3 2.118372-7 1.122000-3 2.380495-7 1.230269-3 2.509775-7 1.364583-3 2.645863-7 1.640590-3 2.900488-7 1.883649-3 3.092158-7 2.041738-3 3.210199-7 2.317395-3 3.390066-7 2.630268-3 3.571348-7 2.985383-3 3.749242-7 3.400000-3 3.931332-7 3.935501-3 4.131988-7 4.518559-3 4.315160-7 4.774700-3 4.386452-7 4.774700-3 2.741749-4 4.954502-3 2.749907-4 5.103900-3 2.750037-4 5.103900-3 3.376326-4 5.165000-3 3.371928-4 5.416900-3 3.376513-4 5.416900-3 3.534662-4 6.918310-3 3.561205-4 1.122018-2 3.592464-4 2.238721-2 3.617947-4 3.455600-2 3.628257-4 3.455600-2 2.308906-2 4.786301-2 2.338730-2 7.079458-2 2.360811-2 1.109175-1 2.375122-2 2.317395-1 2.384597-2 1.303167+0 2.394233-2 1.000000+5 2.393971-2 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 1.096000-5 0.0 1.235000-5 1.390000-6 1.235000-5 8.812002-7 1.288250-5 1.390473-6 1.370000-5 2.183124-6 1.470000-5 3.165885-6 1.717908-5 5.630715-6 2.361000-5 1.206205-5 2.361000-5 1.195993-5 2.840000-5 1.679080-5 3.235937-5 2.067641-5 3.672823-5 2.483324-5 4.265795-5 3.028087-5 6.095369-5 4.669478-5 6.778000-5 5.299114-5 6.778000-5 4.067872-5 6.890000-5 4.097952-5 6.984000-5 4.104499-5 6.984000-5 4.022388-5 7.220000-5 4.092914-5 7.344600-5 4.152294-5 7.435000-5 4.213697-5 7.650000-5 4.403911-5 9.120108-5 5.883832-5 1.071519-4 7.536469-5 1.202264-4 8.948141-5 1.430000-4 1.150770-4 1.479800-4 1.204015-4 1.479800-4 1.065749-4 1.570000-4 1.151462-4 1.606900-4 1.188386-4 1.606900-4 1.160774-4 1.740000-4 1.298602-4 2.065380-4 1.644491-4 2.083700-4 1.663592-4 2.083700-4 1.635835-4 3.054921-4 2.622549-4 6.237348-4 5.799905-4 6.775200-4 6.335367-4 6.775200-4 6.037159-4 6.909100-4 6.166950-4 6.909100-4 6.139189-4 9.265600-4 8.505823-4 9.265600-4 8.433043-4 9.894700-4 9.056808-4 9.894700-4 9.030314-4 1.122000-3 1.034011-3 1.122000-3 1.030688-3 3.162278-3 3.055451-3 4.774700-3 4.661631-3 4.774700-3 4.342073-3 5.103900-3 4.669988-3 5.103900-3 4.598915-3 5.416900-3 4.911696-3 5.416900-3 4.888303-3 3.455600-2 3.400131-2 3.455600-2 1.127293-2 3.548134-2 1.217074-2 4.570882-2 2.216036-2 6.531306-2 4.154115-2 1.798871-1 1.558655-1 1.000000+5 9.999997+4 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 3.455600-2 5.907016+3 3.480000-2 5.784273+3 3.565000-2 5.459800+3 3.640000-2 5.157580+3 3.810000-2 4.604300+3 4.073803-2 3.859003+3 4.570882-2 2.865839+3 5.188000-2 2.046704+3 6.500000-2 1.111388+3 8.128305-2 5.991859+2 1.035142-1 3.039447+2 2.065380-1 4.265364+1 2.511886-1 2.459442+1 2.951209-1 1.573073+1 3.388442-1 1.080338+1 3.845918-1 7.707965+0 4.365158-1 5.541035+0 4.897788-1 4.134896+0 5.432503-1 3.199458+0 6.025596-1 2.492343+0 6.683439-1 1.955022+0 7.413102-1 1.544666+0 8.222427-1 1.229679+0 9.120108-1 9.866759-1 1.000000+0 8.169071-1 1.148154+0 6.202103-1 1.258925+0 5.196981-1 1.445440+0 4.015443-1 1.603245+0 3.331694-1 1.798871+0 2.727860-1 2.018366+0 2.249063-1 2.290868+0 1.832106-1 2.630268+0 1.476363-1 3.019952+0 1.198753-1 3.507519+0 9.640806-2 4.073803+0 7.812143-2 4.786301+0 6.276455-2 5.688529+0 5.003250-2 6.839116+0 3.959431-2 8.317638+0 3.111907-2 1.035142+1 2.397026-2 1.318257+1 1.811761-2 1.737801+1 1.327013-2 2.511886+1 8.873174-3 3.548134+1 6.137816-3 5.432503+1 3.929793-3 8.912509+1 2.360507-3 1.778279+2 1.169551-3 3.548134+2 5.825568-4 1.412538+3 1.456479-4 1.000000+5 2.054600-6 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 3.455600-2 1.944300-4 1.000000+5 1.944300-4 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.455600-2 2.762800-2 1.000000+5 2.762800-2 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.455600-2 6.733570-3 1.000000+5 9.999997+4 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 5.416900-3 2.348442+4 5.575000-3 2.240878+4 5.700000-3 2.155100+4 5.888437-3 2.049829+4 6.456542-3 1.749471+4 6.918310-3 1.556484+4 7.328245-3 1.402156+4 8.035261-3 1.181649+4 8.609938-3 1.042693+4 9.332543-3 8.929100+3 1.120000-2 6.252240+3 1.273503-2 4.809346+3 1.445440-2 3.697182+3 1.730000-2 2.512000+3 1.950000-2 1.927454+3 2.238721-2 1.411682+3 2.650000-2 9.554220+2 3.126079-2 6.454307+2 3.672823-2 4.362974+2 4.315191-2 2.925205+2 5.069907-2 1.945622+2 6.000000-2 1.260460+2 7.079458-2 8.170677+1 8.511380-2 5.003858+1 1.047129-1 2.858657+1 1.380384-1 1.341796+1 2.264644-1 3.423241+0 2.754229-1 2.007580+0 3.273407-1 1.262567+0 3.758374-1 8.770231-1 4.265795-1 6.322247-1 4.786301-1 4.726742-1 5.370318-1 3.558930-1 6.025596-1 2.700022-1 6.606935-1 2.178254-1 7.328245-1 1.723570-1 8.222427-1 1.338902-1 9.332543-1 1.022420-1 1.011579+0 8.663008-2 1.148154+0 6.726266-2 1.250000+0 5.713196-2 1.428894+0 4.450381-2 1.584893+0 3.690326-2 1.778279+0 3.019107-2 2.000000+0 2.477599-2 2.264644+0 2.024859-2 2.600160+0 1.630497-2 3.000000+0 1.313400-2 3.467369+0 1.063337-2 4.027170+0 8.611708-3 4.731513+0 6.915133-3 5.623413+0 5.509570-3 6.760830+0 4.358083-3 8.222427+0 3.423629-3 1.023293+1 2.635973-3 1.303167+1 1.991726-3 1.678804+1 1.496168-3 2.264644+1 1.077158-3 3.090295+1 7.709916-4 4.570882+1 5.103522-4 7.244360+1 3.167103-4 1.364583+2 1.659487-4 2.722701+2 8.252015-5 1.083927+3 2.060353-5 1.000000+5 2.229000-7 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 5.416900-3 2.249300-4 1.000000+5 2.249300-4 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 5.416900-3 4.574000-4 1.000000+5 4.574000-4 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 5.416900-3 4.734570-3 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 5.103900-3 4.895867+4 5.165000-3 4.702166+4 5.250000-3 4.554300+4 5.310000-3 4.418400+4 5.432503-3 4.178700+4 6.237348-3 2.919500+4 6.800000-3 2.314900+4 8.222426-3 1.370600+4 1.000000-2 7.908700+3 1.122018-2 5.664100+3 1.300000-2 3.681300+3 1.584893-2 2.034400+3 1.905461-2 1.159600+3 2.238721-2 7.034100+2 2.600160-2 4.396100+2 3.090295-2 2.539300+2 3.758374-2 1.352800+2 4.677351-2 6.640200+1 6.165950-2 2.678600+1 1.202264-1 2.950255+0 1.500000-1 1.429978+0 1.798871-1 7.944813-1 2.113489-1 4.749829-1 2.426610-1 3.076975-1 2.786121-1 2.008092-1 3.162278-1 1.367998-1 3.548134-1 9.715940-2 3.981072-1 6.949671-2 4.466836-1 5.009175-2 4.954502-1 3.756656-2 5.495409-1 2.836925-2 6.095369-1 2.158269-2 6.683439-1 1.703927-2 7.413102-1 1.317458-2 8.222427-1 1.026384-2 9.332543-1 7.620535-3 9.885531-1 6.691847-3 1.059254+0 5.773144-3 1.135011+0 5.014082-3 1.202264+0 4.483193-3 1.333521+0 3.700403-3 1.548817+0 2.831364-3 1.778279+0 2.223663-3 2.000000+0 1.823902-3 2.264644+0 1.490755-3 2.600160+0 1.200524-3 3.000000+0 9.671400-4 3.467369+0 7.830003-4 4.027170+0 6.341312-4 4.731513+0 5.092014-4 5.623413+0 4.057063-4 6.760830+0 3.209075-4 8.222427+0 2.520986-4 1.023293+1 1.941062-4 1.318257+1 1.447335-4 1.757924+1 1.046646-4 2.540973+1 7.001265-5 3.589219+1 4.844211-5 5.495409+1 3.102184-5 9.120108+1 1.841915-5 1.819701+2 9.128236-6 3.630781+2 4.547447-6 1.445440+3 1.137028-6 1.000000+5 1.641400-8 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 5.103900-3 1.900200-4 1.000000+5 1.900200-4 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.103900-3 5.057500-4 1.000000+5 5.057500-4 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.103900-3 4.408130-3 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 4.774700-3 1.037051+5 4.852000-3 9.982113+4 4.925000-3 9.667040+4 4.985000-3 9.354120+4 5.128614-3 8.696393+4 5.900000-3 5.973320+4 6.456542-3 4.649654+4 7.943282-3 2.580551+4 9.440609-3 1.567133+4 1.135011-2 9.047954+3 1.258925-2 6.613393+3 1.513561-2 3.751603+3 1.819701-2 2.104527+3 2.162719-2 1.212563+3 2.570396-2 6.927172+2 3.090295-2 3.779299+2 3.715352-2 2.045308+2 4.518559-2 1.056859+2 5.623413-2 5.013953+1 7.673615-2 1.719194+1 1.288250-1 2.871075+0 1.566751-1 1.469534+0 1.883649-1 7.884629-1 2.162719-1 4.976642-1 2.454709-1 3.286320-1 2.754229-1 2.268588-1 3.090295-1 1.577419-1 3.427678-1 1.145313-1 3.801894-1 8.376980-2 4.216965-1 6.175322-2 4.623810-1 4.741783-2 5.069907-1 3.666771-2 5.559043-1 2.855993-2 6.095369-1 2.240630-2 6.683439-1 1.771049-2 7.328245-1 1.410564-2 8.035261-1 1.131819-2 9.015711-1 8.669826-3 9.660509-1 7.439299-3 1.035142+0 6.432553-3 1.135011+0 5.337266-3 1.230269+0 4.564967-3 1.364583+0 3.764195-3 1.584893+0 2.877656-3 1.798871+0 2.308198-3 2.018366+0 1.902290-3 2.290868+0 1.549496-3 2.630268+0 1.248525-3 3.019952+0 1.013683-3 3.507519+0 8.152602-4 4.073803+0 6.606358-4 4.786301+0 5.307709-4 5.688529+0 4.231018-4 6.839116+0 3.348350-4 8.317638+0 2.631601-4 1.035142+1 2.027068-4 1.333521+1 1.511981-4 1.778279+1 1.093897-4 2.570396+1 7.319541-5 3.672823+1 5.004551-5 5.688529+1 3.168233-5 9.549926+1 1.860104-5 1.905461+2 9.222836-6 3.801894+2 4.595794-6 1.513561+3 1.149292-6 1.000000+5 1.737400-8 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 4.774700-3 1.812300-4 1.000000+5 1.812300-4 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 4.774700-3 4.102500-4 1.000000+5 4.102500-4 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 4.774700-3 4.183220-3 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.122000-3 6.855700+4 1.202264-3 6.547447+4 1.230269-3 6.403085+4 1.333521-3 5.771691+4 1.640590-3 4.324246+4 1.950000-3 3.349800+4 2.113489-3 2.951547+4 2.540973-3 2.190801+4 2.851018-3 1.803015+4 3.311311-3 1.391730+4 3.935501-3 1.021301+4 4.518559-3 7.920314+3 5.300000-3 5.864580+3 6.309573-3 4.186521+3 7.500000-3 2.971880+3 8.912509-3 2.093609+3 1.047129-2 1.498173+3 1.230269-2 1.064215+3 1.428894-2 7.694820+2 1.678804-2 5.387230+2 1.972423-2 3.743001+2 2.317395-2 2.580674+2 2.722701-2 1.766057+2 3.200000-2 1.198508+2 3.758374-2 8.085041+1 4.415704-2 5.410485+1 5.188000-2 3.594837+1 6.165950-2 2.302191+1 7.413102-2 1.419924+1 9.015711-2 8.427462+0 1.109175-1 4.812949+0 1.462177-1 2.260085+0 2.018366-1 9.312073-1 2.630268-1 4.517480-1 3.126079-1 2.837718-1 3.630781-1 1.909848-1 4.168694-1 1.334912-1 4.731513-1 9.685011-2 5.308844-1 7.288323-2 5.956621-1 5.527125-2 6.606935-1 4.339310-2 7.328245-1 3.429812-2 8.222427-1 2.661873-2 9.120108-1 2.134241-2 1.000000+0 1.766122-2 1.148154+0 1.340705-2 1.258925+0 1.123452-2 1.445440+0 8.680572-3 1.603245+0 7.202626-3 1.798871+0 5.897214-3 2.041738+0 4.770342-3 2.317395+0 3.887999-3 2.660725+0 3.135056-3 3.054921+0 2.547112-3 3.548134+0 2.049692-3 4.120975+0 1.661805-3 4.841724+0 1.335848-3 5.754399+0 1.065449-3 6.918310+0 8.435370-4 8.317638+0 6.725798-4 1.035142+1 5.180692-4 1.333521+1 3.864309-4 1.778279+1 2.795800-4 2.570396+1 1.870739-4 3.672823+1 1.279081-4 5.623413+1 8.194504-5 9.332543+1 4.867137-5 1.862087+2 2.412658-5 3.715352+2 1.202087-5 1.479108+3 3.006038-6 1.000000+5 4.440500-8 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.122000-3 1.686000-4 1.000000+5 1.686000-4 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.122000-3 8.544400-7 1.000000+5 8.544400-7 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.122000-3 9.525456-4 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 9.894700-4 1.010402+5 9.985000-4 1.044782+5 1.004000-3 1.057843+5 1.017000-3 1.072339+5 1.023800-3 1.075600+5 1.040000-3 1.069163+5 1.100000-3 1.016674+5 1.190000-3 9.357459+4 1.202264-3 9.268900+4 1.303167-3 8.436920+4 1.412538-3 7.616257+4 1.513561-3 6.935539+4 1.621810-3 6.278691+4 1.757924-3 5.552923+4 1.950000-3 4.686180+4 2.150000-3 3.973760+4 2.317395-3 3.475984+4 2.630268-3 2.745694+4 2.851018-3 2.350004+4 3.198895-3 1.864776+4 3.507519-3 1.541962+4 3.935501-3 1.205086+4 4.365158-3 9.596222+3 4.954502-3 7.197103+3 5.500000-3 5.639180+3 6.237348-3 4.171028+3 7.079458-3 3.052612+3 7.943282-3 2.282580+3 8.912509-3 1.696142+3 1.011579-2 1.214691+3 1.161449-2 8.368182+2 1.333521-2 5.716401+2 1.531087-2 3.873560+2 1.757924-2 2.604664+2 2.018366-2 1.738820+2 2.317395-2 1.153113+2 2.700000-2 7.265800+1 3.162278-2 4.473359+1 3.715352-2 2.707976+1 4.466836-2 1.513865+1 5.495409-2 7.804717+0 7.079458-2 3.442913+0 1.318257-1 4.556258-1 1.640590-1 2.250801-1 1.949845-1 1.298400-1 2.018366-1 1.165109-1 2.600160-1 5.373340-2 2.851018-1 4.032084-2 3.000060-1 3.428760-2 3.388442-1 2.387085-2 3.801894-1 1.706391-2 4.265795-1 1.228193-2 4.731513-1 9.194303-3 5.248075-1 6.929816-3 5.821032-1 5.260973-3 6.382635-1 4.145001-3 7.079458-1 3.193367-3 7.852356-1 2.479207-3 8.709636-1 1.931761-3 9.332543-1 1.646605-3 9.885531-1 1.450133-3 1.071519+0 1.224985-3 1.161449+0 1.041819-3 1.258925+0 8.930809-4 1.396368+0 7.383456-4 1.659587+0 5.433424-4 1.883649+0 4.369984-4 2.113489+0 3.611470-4 2.398833+0 2.949244-4 2.754229+0 2.382609-4 3.162278+0 1.939092-4 3.672823+0 1.563215-4 4.265795+0 1.269476-4 5.011872+0 1.022087-4 6.000000+0 8.088200-5 7.244360+0 6.380572-5 8.810489+0 5.026238-5 1.083927+1 3.932093-5 1.400000+1 2.928100-5 1.840772+1 2.155693-5 2.630268+1 1.461783-5 3.715352+1 1.012145-5 5.754399+1 6.408964-6 9.660509+1 3.763520-6 1.927525+2 1.866248-6 3.845918+2 9.299960-7 1.531087+3 2.325908-7 1.000000+5 3.556800-9 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 9.894700-4 1.377000-4 1.000000+5 1.377000-4 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 9.894700-4 8.223300-7 1.000000+5 8.223300-7 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 9.894700-4 8.509477-4 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 9.265600-4 2.746400+5 9.630000-4 2.669777+5 1.000000-3 2.578500+5 1.040000-3 2.470940+5 1.083927-3 2.352796+5 1.216186-3 2.020828+5 1.303167-3 1.833831+5 1.412538-3 1.628655+5 1.531087-3 1.435752+5 1.659587-3 1.258477+5 1.819701-3 1.072098+5 2.041738-3 8.726280+4 2.213095-3 7.500184+4 2.511886-3 5.853850+4 2.754229-3 4.859569+4 3.126079-3 3.724161+4 3.427678-3 3.051701+4 3.900000-3 2.287708+4 4.315191-3 1.813125+4 4.897788-3 1.344571+4 5.500000-3 1.014260+4 6.095369-3 7.855723+3 6.918310-3 5.690632+3 7.852356-3 4.088591+3 8.810489-3 3.007078+3 9.885531-3 2.198004+3 1.122018-2 1.546004+3 1.273503-2 1.079374+3 1.450000-2 7.414360+2 1.659587-2 4.978291+2 1.883649-2 3.403141+2 2.162719-2 2.231764+2 2.511886-2 1.401789+2 2.917427-2 8.736837+1 3.388442-2 5.406166+1 4.000000-2 3.150332+1 4.786301-2 1.742470+1 5.821032-2 9.060649+0 7.244360-2 4.326688+0 1.333521-1 5.413203-1 1.678804-1 2.486690-1 1.972423-1 1.452421-1 2.264644-1 9.221310-2 2.570396-1 6.121471-2 2.884032-1 4.245744-2 3.235937-1 2.965413-2 3.589219-1 2.161713-2 3.981072-1 1.587570-2 4.365158-1 1.215276-2 4.786301-1 9.364870-3 5.248075-1 7.266154-3 5.754399-1 5.677533-3 6.309573-1 4.468344-3 6.918310-1 3.542607-3 7.585776-1 2.829513-3 8.511380-1 2.155213-3 9.120108-1 1.841376-3 9.772372-1 1.583574-3 1.059254+0 1.339494-3 1.161449+0 1.113816-3 1.273503+0 9.339779-4 1.412538+0 7.717074-4 1.640590+0 5.909732-4 1.862087+0 4.750468-4 2.089296+0 3.923173-4 2.371374+0 3.201610-4 2.722701+0 2.584889-4 3.126079+0 2.102578-4 3.630781+0 1.694056-4 4.216965+0 1.374982-4 4.954502+0 1.106418-4 5.888437+0 8.833117-5 7.079458+0 7.000041-5 8.511380+0 5.586233-5 1.047129+1 4.364928-5 1.348963+1 3.256847-5 1.778279+1 2.387549-5 2.570396+1 1.597586-5 3.630781+1 1.105641-5 5.559043+1 7.081984-6 9.225714+1 4.205638-6 1.840772+2 2.084543-6 3.672823+2 1.038521-6 1.462177+3 2.596891-7 1.000000+5 3.792100-9 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 9.265600-4 1.356400-4 1.000000+5 1.356400-4 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 9.265600-4 5.863300-7 1.000000+5 5.863300-7 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 9.265600-4 7.903337-4 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 6.909100-4 1.439936+6 6.937000-4 1.501838+6 7.080000-4 1.662848+6 7.213000-4 1.581272+6 7.220000-4 1.571759+6 7.280000-4 1.464892+6 7.321500-4 1.376090+6 7.365000-4 1.299800+6 7.400000-4 1.249568+6 7.440000-4 1.202616+6 7.480000-4 1.164676+6 7.520000-4 1.134032+6 7.585776-4 1.094568+6 7.673615-4 1.053682+6 7.950000-4 9.498560+5 8.105900-4 9.015513+5 8.280000-4 8.579040+5 8.709636-4 7.697371+5 8.810489-4 7.345360+5 9.200000-4 6.598903+5 9.225714-4 6.763416+5 9.549926-4 6.313679+5 9.660509-4 6.099508+5 1.035142-3 5.189504+5 1.122018-3 4.270981+5 1.216186-3 3.490304+5 1.318257-3 2.833863+5 1.462177-3 2.153823+5 1.570000-3 1.771680+5 1.819701-3 1.168178+5 1.995262-3 8.941158+4 2.290868-3 5.935127+4 2.511886-3 4.486914+4 2.851018-3 3.033141+4 3.198895-3 2.106881+4 3.548134-3 1.509626+4 4.073803-3 9.586383+3 4.570882-3 6.516521+3 5.128614-3 4.402415+3 5.888437-3 2.726685+3 6.800000-3 1.640024+3 7.852356-3 9.774200+2 9.015711-3 5.895407+2 1.035142-2 3.526243+2 1.188502-2 2.092241+2 1.364583-2 1.231935+2 1.566751-2 7.203091+1 1.819701-2 3.998010+1 2.137962-2 2.104406+1 2.511886-2 1.099898+1 3.019952-2 5.198417+0 3.715352-2 2.218786+0 4.954502-2 6.737551-1 7.762471-2 1.045751-1 9.885531-2 3.862193-2 1.188502-1 1.820946-2 1.396368-1 9.500320-3 1.621810-1 5.231102-3 1.862087-1 3.038560-3 2.113489-1 1.860441-3 2.371374-1 1.199282-3 2.660725-1 7.787092-4 2.951209-1 5.315119-4 3.273407-1 3.653725-4 3.630781-1 2.529836-4 4.027170-1 1.764737-4 4.415705-1 1.289208-4 4.841724-1 9.483951-5 5.248075-1 7.296809-5 5.754399-1 5.448396-5 6.237348-1 4.247779-5 6.839117-1 3.220362-5 7.498942-1 2.459221-5 8.035261-1 2.016501-5 8.609938-1 1.645963-5 9.120108-1 1.399868-5 9.549926-1 1.237906-5 1.000000+0 1.102700-5 1.047129+0 9.902332-6 1.096478+0 8.953850-6 1.148154+0 8.146522-6 1.216186+0 7.295199-6 1.318257+0 6.312060-6 1.531087+0 4.885732-6 1.819701+0 3.614588-6 2.018366+0 3.035264-6 2.290868+0 2.472383-6 2.630268+0 1.992209-6 3.019952+0 1.617514-6 3.507519+0 1.300836-6 4.073803+0 1.054080-6 4.786301+0 8.468807-7 5.688529+0 6.750860-7 6.839116+0 5.342478-7 8.317638+0 4.198906-7 1.035142+1 3.234317-7 1.333521+1 2.412500-7 1.757924+1 1.767784-7 2.540973+1 1.182511-7 3.589219+1 8.181521-8 5.495409+1 5.239487-8 9.120108+1 3.110885-8 1.819701+2 1.541777-8 3.630781+2 7.680468-9 1.445440+3 1.920468-9 1.000000+5 2.77220-11 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 6.909100-4 8.179200-5 1.000000+5 8.179200-5 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 6.909100-4 2.915000-7 1.000000+5 2.915000-7 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 6.909100-4 6.088265-4 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 6.775200-4 2.006723+6 6.950000-4 2.078415+6 7.170000-4 2.026762+6 7.244360-4 1.964000+6 7.310000-4 1.843350+6 7.350000-4 1.785444+6 7.400000-4 1.727982+6 7.450000-4 1.682130+6 7.540000-4 1.616232+6 7.858600-4 1.431457+6 8.000000-4 1.365696+6 8.200000-4 1.290456+6 8.609938-4 1.160414+6 9.660509-4 8.929617+5 1.047129-3 7.368581+5 1.148154-3 5.869306+5 1.258925-3 4.633722+5 1.412538-3 3.416403+5 1.513561-3 2.828206+5 1.730000-3 1.938720+5 1.883649-3 1.516897+5 2.162719-3 1.007159+5 2.400000-3 7.345920+4 2.722701-3 4.971533+4 3.054921-3 3.453135+4 3.400000-3 2.445894+4 3.890451-3 1.569733+4 4.365158-3 1.066228+4 4.897788-3 7.196235+3 5.559043-3 4.634576+3 6.382635-3 2.842777+3 7.328245-3 1.728385+3 8.500000-3 1.003218+3 9.800000-3 5.896728+2 1.122018-2 3.527717+2 1.273503-2 2.165772+2 1.450000-2 1.304808+2 1.659587-2 7.652127+1 1.927525-2 4.203034+1 2.238721-2 2.292866+1 2.630268-2 1.184588+1 3.162278-2 5.523066+0 3.758374-2 2.683531+0 4.897788-2 8.789516-1 8.035261-2 1.083672-1 9.885531-2 4.538396-2 1.174898-1 2.212583-2 1.364583-1 1.195788-2 1.548817-1 7.152423-3 1.757924-1 4.309626-3 1.972423-1 2.737500-3 2.213095-1 1.749107-3 2.454709-1 1.177195-3 2.691535-1 8.337042-4 2.951209-1 5.949241-4 3.198895-1 4.460085-4 3.467369-1 3.366549-4 3.758374-1 2.557893-4 4.073803-1 1.956040-4 4.466836-1 1.450704-4 4.897788-1 1.084387-4 5.370318-1 8.162568-5 5.821032-1 6.408025-5 6.382635-1 4.896383-5 6.839117-1 4.027600-5 7.328245-1 3.335922-5 7.852356-1 2.785409-5 8.511380-1 2.275415-5 9.120108-1 1.927758-5 9.660509-1 1.689847-5 1.023293+0 1.491220-5 1.096478+0 1.291748-5 1.174898+0 1.125941-5 1.273503+0 9.669057-6 1.412538+0 8.005832-6 1.698244+0 5.780273-6 1.905461+0 4.746479-6 2.137962+0 3.925471-6 2.426610+0 3.207895-6 2.786121+0 2.593438-6 3.235937+0 2.076841-6 3.758374+0 1.676240-6 4.415704+0 1.341537-6 5.188000+0 1.081742-6 6.165950+0 8.652957-7 7.498942+0 6.772625-7 9.225714+0 5.268736-7 1.135011+1 4.128214-7 1.445440+1 3.128875-7 1.840772+1 2.387912-7 2.660725+1 1.599282-7 3.801894+1 1.094331-7 5.888437+1 6.932036-8 1.000000+2 4.024500-8 1.995262+2 1.996280-8 3.981072+2 9.950231-9 1.584893+3 2.488871-9 1.000000+5 3.94000-11 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 6.775200-4 8.269700-5 1.000000+5 8.269700-5 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 6.775200-4 4.086200-9 1.000000+5 4.086200-9 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 6.775200-4 5.948189-4 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 2.083700-4 1.249170+5 2.097000-4 1.290992+5 2.110000-4 1.324332+5 2.125000-4 1.356444+5 2.148000-4 1.395762+5 2.170000-4 1.426018+5 2.190000-4 1.448298+5 2.220000-4 1.473966+5 2.250000-4 1.491698+5 2.285000-4 1.503554+5 2.330000-4 1.506934+5 2.380000-4 1.498718+5 2.450000-4 1.473972+5 2.730000-4 1.352694+5 3.054921-4 1.246739+5 3.235937-4 1.187186+5 3.467369-4 1.109443+5 4.027170-4 9.463951+4 4.365158-4 8.635760+4 4.786301-4 7.712293+4 5.500000-4 6.448840+4 6.025596-4 5.698262+4 7.000000-4 4.605120+4 7.852356-4 3.886509+4 9.225714-4 3.034459+4 1.059254-3 2.435694+4 1.230269-3 1.907480+4 1.462177-3 1.426963+4 1.757924-3 1.038507+4 2.137962-3 7.347639+3 2.570396-3 5.268822+3 3.126079-3 3.675271+3 3.801894-3 2.545636+3 4.570882-3 1.789392+3 5.500000-3 1.246558+3 6.531306-3 8.846907+2 7.852356-3 6.079647+2 9.440609-3 4.144256+2 1.122018-2 2.872785+2 1.333521-2 1.976991+2 1.566751-2 1.385167+2 1.840772-2 9.636979+1 2.162719-2 6.657085+1 2.540973-2 4.565442+1 3.000000-2 3.072100+1 3.548134-2 2.042863+1 4.216965-2 1.331266+1 5.011872-2 8.607802+0 6.000000-2 5.421116+0 7.244360-2 3.309687+0 8.810489-2 1.967131+0 1.059254-1 1.197459+0 1.396368-1 5.629927-1 2.398833-1 1.275155-1 2.884032-1 7.739313-2 3.388442-1 5.033825-2 3.890451-1 3.505794-2 4.415705-1 2.534012-2 5.000000-1 1.856703-2 5.623413-1 1.394532-2 6.237348-1 1.090768-2 6.918310-1 8.589317-3 7.673615-1 6.809794-3 8.609938-1 5.301792-3 9.440609-1 4.368709-3 1.047129+0 3.541488-3 1.174898+0 2.819036-3 1.348963+0 2.169710-3 1.513561+0 1.755495-3 1.698244+0 1.432279-3 1.927525+0 1.154269-3 2.187762+0 9.374185-4 2.483133+0 7.669216-4 2.851018+0 6.208507-4 3.311311+0 4.978174-4 3.845918+0 4.022564-4 4.518559+0 3.222982-4 5.370318+0 2.562569-4 6.456542+0 2.023049-4 7.852356+0 1.586368-4 9.772372+0 1.219383-4 1.230269+1 9.321533-5 1.513561+1 7.363990-5 1.883649+1 5.770942-5 2.660725+1 3.963963-5 3.801894+1 2.712296-5 5.888437+1 1.718146-5 1.011579+2 9.858523-6 2.018366+2 4.890697-6 4.027170+2 2.437863-6 1.603245+3 6.098009-7 1.000000+5 9.765400-9 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 2.083700-4 7.244200-5 1.000000+5 7.244200-5 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.083700-4 6.148600-9 1.000000+5 6.148600-9 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.083700-4 1.359219-4 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.606900-4 1.298690+5 1.630000-4 1.321406+5 1.650000-4 1.332122+5 1.680000-4 1.337044+5 1.715000-4 1.334336+5 1.740000-4 1.325093+5 1.750000-4 1.319366+5 1.800000-4 1.269684+5 1.862087-4 1.218939+5 1.927525-4 1.176740+5 1.995262-4 1.145811+5 2.065380-4 1.124936+5 2.150000-4 1.109602+5 2.660725-4 1.064445+5 2.900000-4 1.041106+5 3.100000-4 1.016710+5 3.350000-4 9.816440+4 3.630781-4 9.400947+4 3.890451-4 9.004668+4 4.168694-4 8.568359+4 4.518559-4 8.023644+4 4.954502-4 7.384312+4 5.400000-4 6.784720+4 5.888437-4 6.182183+4 6.531306-4 5.484358+4 7.161434-4 4.896939+4 7.852356-4 4.341501+4 8.709636-4 3.765675+4 9.660509-4 3.242546+4 1.083927-3 2.723489+4 1.202264-3 2.312494+4 1.364583-3 1.877465+4 1.531087-3 1.541325+4 1.717908-3 1.256979+4 1.950000-3 9.964040+3 2.220000-3 7.791920+3 2.511886-3 6.118919+3 2.851018-3 4.740306+3 3.235937-3 3.644560+3 3.650000-3 2.818480+3 4.073803-3 2.215769+3 4.600000-3 1.686240+3 5.128614-3 1.312107+3 5.821032-3 9.726288+2 6.606934-3 7.153841+2 7.498942-3 5.221778+2 8.511380-3 3.783351+2 9.660509-3 2.721591+2 1.096478-2 1.944209+2 1.244515-2 1.379444+2 1.428894-2 9.414729+1 1.640590-2 6.375192+1 1.883649-2 4.284774+1 2.162719-2 2.859283+1 2.511886-2 1.830808+1 2.917427-2 1.163795+1 3.427678-2 7.091708+0 4.073803-2 4.137185+0 4.954502-2 2.228012+0 6.165950-2 1.106563+0 8.413951-2 4.047778-1 1.303167-1 9.798258-2 1.659587-1 4.504136-2 1.972423-1 2.602338-2 2.317395-1 1.570621-2 2.660725-1 1.025893-2 3.019952-1 6.989313-3 3.427678-1 4.796808-3 3.845918-1 3.430484-3 4.315191-1 2.471245-3 4.786301-1 1.851933-3 5.308844-1 1.397289-3 5.888437-1 1.061804-3 6.531306-1 8.129497-4 7.244360-1 6.272170-4 8.413951-1 4.361534-4 9.015711-1 3.706812-4 9.660509-1 3.172802-4 1.023293+0 2.805665-4 1.109175+0 2.377285-4 1.188600+0 2.073600-4 1.303167+0 1.743525-4 1.445440+0 1.444586-4 1.698244+0 1.086386-4 1.905461+0 8.921167-5 2.137962+0 7.377593-5 2.426610+0 6.028490-5 2.786121+0 4.873395-5 3.198895+0 3.968588-5 3.715352+0 3.201188-5 4.315191+0 2.601017-5 5.069907+0 2.095196-5 6.025596+0 1.674363-5 7.244360+0 1.328053-5 8.810489+0 1.046159-5 1.083927+1 8.184316-6 1.400000+1 6.094600-6 1.840772+1 4.486986-6 2.660725+1 3.005071-6 3.845918+1 2.031507-6 6.000000+1 1.277500-6 1.023293+2 7.386663-7 2.041738+2 3.664780-7 4.073803+2 1.826935-7 1.621810+3 4.569917-8 1.000000+5 7.40330-10 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.606900-4 6.398300-5 1.000000+5 6.398300-5 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.606900-4 7.466800-9 1.000000+5 7.466800-9 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.606900-4 9.669953-5 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.479800-4 3.597060+5 2.290868-4 3.117392+5 2.540973-4 2.989325+5 2.754229-4 2.874299+5 2.951209-4 2.760464+5 3.200000-4 2.611856+5 3.507519-4 2.433644+5 3.801894-4 2.272462+5 4.120975-4 2.105938+5 4.518559-4 1.914150+5 5.011872-4 1.706000+5 5.432503-4 1.550690+5 6.000000-4 1.367388+5 6.700000-4 1.180328+5 7.413102-4 1.023640+5 8.317638-4 8.634171+4 9.225714-4 7.358438+4 1.035142-3 6.113842+4 1.161449-3 5.044353+4 1.318257-3 4.048063+4 1.462177-3 3.361049+4 1.659587-3 2.658634+4 1.905461-3 2.040118+4 2.162719-3 1.587912+4 2.454709-3 1.226776+4 2.800000-3 9.309680+3 3.162278-3 7.162495+3 3.548134-3 5.553199+3 3.981072-3 4.278028+3 4.466836-3 3.274496+3 5.069907-3 2.422049+3 5.754399-3 1.777022+3 6.531306-3 1.293381+3 7.413102-3 9.340964+2 8.413951-3 6.696470+2 9.549926-3 4.765369+2 1.083927-2 3.366443+2 1.230269-2 2.361716+2 1.396368-2 1.645461+2 1.584893-2 1.138558+2 1.819701-2 7.560546+1 2.089296-2 4.982303+1 2.398833-2 3.259118+1 2.786121-2 2.041920+1 3.235937-2 1.269666+1 3.801894-2 7.552226+0 4.466836-2 4.459054+0 5.370318-2 2.422766+0 6.531306-2 1.257414+0 8.035261-2 6.236611-1 1.333521-1 1.113452-1 1.678804-1 5.121559-2 1.972423-1 2.994004-2 2.290868-1 1.831712-2 2.600160-1 1.217196-2 2.917427-1 8.451733-3 3.235937-1 6.125898-3 3.589219-1 4.469866-3 3.981072-1 3.285242-3 4.415705-1 2.433943-3 4.841724-1 1.877310-3 5.308844-1 1.457958-3 5.821032-1 1.140333-3 6.382635-1 8.986169-4 6.998420-1 7.134664-4 7.673615-1 5.706203-4 8.609938-1 4.349618-4 9.225714-1 3.718733-4 9.885531-1 3.200824-4 1.083927+0 2.646743-4 1.174898+0 2.254891-4 1.288250+0 1.892750-4 1.445440+0 1.533148-4 1.678804+0 1.175628-4 1.883649+0 9.649032-5 2.113489+0 7.974639-5 2.398833+0 6.512307-5 2.754229+0 5.261102-5 3.162278+0 4.281767-5 3.672823+0 3.451783-5 4.265795+0 2.803169-5 5.011872+0 2.256905-5 6.000000+0 1.786000-5 7.244360+0 1.408934-5 8.810489+0 1.109866-5 1.083927+1 8.682701-6 1.400000+1 6.465700-6 1.840772+1 4.760178-6 2.660725+1 3.188054-6 3.845918+1 2.155210-6 6.000000+1 1.355300-6 1.035142+2 7.744891-7 2.065380+2 3.842988-7 4.120975+2 1.915877-7 1.640590+3 4.792599-8 1.000000+5 7.85400-10 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.479800-4 6.461400-5 1.000000+5 6.461400-5 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.479800-4 2.988500-9 1.000000+5 2.988500-9 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.479800-4 8.336301-5 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 6.984000-5 6.280960+5 7.015000-5 6.555320+5 7.040000-5 6.820000+5 7.070000-5 7.194640+5 7.100000-5 7.644360+5 7.130000-5 8.174640+5 7.161434-5 8.840657+5 7.190000-5 9.555160+5 7.220000-5 1.043460+6 7.250000-5 1.147068+6 7.277000-5 1.256076+6 7.300000-5 1.362536+6 7.330000-5 1.522620+6 7.365000-5 1.745388+6 7.400000-5 2.014524+6 7.435000-5 2.339884+6 7.470000-5 2.734076+6 7.503900-5 3.195848+6 7.540000-5 3.794108+6 7.560000-5 4.137990+6 7.710000-5 7.623626+6 7.730000-5 8.012467+6 7.910000-5 1.186893+7 7.930900-5 1.209668+7 8.155000-5 1.449189+7 8.370000-5 1.422862+7 8.413951-5 1.387833+7 8.710000-5 1.152414+7 9.070000-5 9.091461+6 9.580000-5 5.638098+6 9.623200-5 5.386620+6 9.900000-5 4.235560+6 1.059254-4 2.398725+6 1.109175-4 1.618118+6 1.244515-4 5.978170+5 1.288250-4 4.462386+5 1.318257-4 3.694328+5 1.341800-4 3.212224+5 1.365000-4 2.822808+5 1.385000-4 2.545220+5 1.400000-4 2.367716+5 1.415000-4 2.213668+5 1.430000-4 2.080752+5 1.445440-4 1.963830+5 1.462177-4 1.857537+5 1.480000-4 1.765204+5 1.496236-4 1.697752+5 1.513561-4 1.641315+5 1.531087-4 1.598720+5 1.548817-4 1.568721+5 1.566751-4 1.550165+5 1.584893-4 1.541966+5 1.603600-4 1.543211+5 1.627000-4 1.556640+5 1.650000-4 1.580640+5 1.680000-4 1.624936+5 1.705000-4 1.670752+5 1.740000-4 1.745092+5 1.800000-4 1.890648+5 1.905461-4 2.169060+5 1.980000-4 2.364692+5 2.041738-4 2.519083+5 2.113489-4 2.685746+5 2.187762-4 2.841192+5 2.264644-4 2.982258+5 2.344229-4 3.106327+5 2.430000-4 3.215640+5 2.511886-4 3.297753+5 2.600160-4 3.363992+5 2.691535-4 3.410944+5 2.800000-4 3.442472+5 2.917427-4 3.452678+5 3.054921-4 3.439839+5 3.200000-4 3.402940+5 3.350000-4 3.344020+5 3.507519-4 3.264444+5 3.700000-4 3.150460+5 3.890451-4 3.026850+5 4.120975-4 2.870823+5 4.365158-4 2.705492+5 4.623810-4 2.534482+5 4.897788-4 2.359130+5 5.248075-4 2.147729+5 5.650000-4 1.927228+5 6.100000-4 1.708696+5 6.531306-4 1.524759+5 7.079458-4 1.321924+5 7.673615-4 1.137825+5 8.317638-4 9.724304+4 9.015711-4 8.249905+4 9.885531-4 6.786426+4 1.083927-3 5.538051+4 1.190000-3 4.471480+4 1.300000-3 3.628476+4 1.428894-3 2.882011+4 1.570000-3 2.276368+4 1.737801-3 1.752041+4 1.927525-3 1.331476+4 2.137962-3 1.004602+4 2.371374-3 7.525261+3 2.630268-3 5.597736+3 2.917427-3 4.135174+3 3.235937-3 3.033843+3 3.589219-3 2.210740+3 4.000000-3 1.576372+3 4.466836-3 1.108520+3 5.011872-3 7.618167+2 5.623413-3 5.194588+2 6.309573-3 3.516055+2 7.079458-3 2.363139+2 8.035261-3 1.514311+2 9.120108-3 9.629653+1 1.035142-2 6.077829+1 1.174898-2 3.807159+1 1.333521-2 2.367701+1 1.513561-2 1.462424+1 1.737801-2 8.580996+0 2.018366-2 4.778246+0 2.344229-2 2.640846+0 2.754229-2 1.384293+0 3.311311-2 6.564531-1 4.073803-2 2.811661-1 8.317638-2 1.480525-2 1.035142-1 6.042322-3 1.230269-1 2.998099-3 1.445440-1 1.570017-3 1.678804-1 8.676067-4 1.927525-1 5.057022-4 2.187762-1 3.105515-4 2.454709-1 2.007222-4 2.754229-1 1.306957-4 3.054921-1 8.945908-5 3.388442-1 6.169492-5 3.758374-1 4.285202-5 4.216965-1 2.882023-5 4.623810-1 2.112642-5 5.069907-1 1.559816-5 5.559043-1 1.160923-5 6.095369-1 8.704876-6 6.683439-1 6.574515-6 7.328245-1 5.002782-6 8.609938-1 3.135278-6 9.120108-1 2.670402-6 9.549926-1 2.363349-6 1.000000+0 2.105800-6 1.047129+0 1.890869-6 1.096478+0 1.710374-6 1.148154+0 1.557008-6 1.216186+0 1.395007-6 1.318257+0 1.206965-6 1.479108+0 9.903913-7 1.840772+0 6.767269-7 2.044000+0 5.677200-7 2.317395+0 4.635758-7 2.660725+0 3.737861-7 3.054921+0 3.036683-7 3.548134+0 2.443706-7 4.120975+0 1.981257-7 4.841724+0 1.592588-7 5.754399+0 1.270238-7 6.918310+0 1.005673-7 8.413951+0 7.907736-8 1.047129+1 6.093685-8 1.348963+1 4.546762-8 1.778279+1 3.333158-8 2.570396+1 2.230246-8 3.672823+1 1.524914-8 5.623413+1 9.769544-9 9.332543+1 5.802643-9 1.862087+2 2.876472-9 3.715352+2 1.433122-9 1.479108+3 3.58380-10 1.000000+5 5.29400-12 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 6.984000-5 3.211000-5 1.000000+5 3.211000-5 1 54000 7 7 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 6.984000-5 5.910800-9 1.000000+5 5.910800-9 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 6.984000-5 3.772409-5 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 6.778000-5 9.756480+5 6.800000-5 1.003302+6 6.837000-5 1.060158+6 6.868000-5 1.118844+6 6.890000-5 1.167804+6 6.918310-5 1.240645+6 6.940000-5 1.304940+6 6.970000-5 1.408224+6 7.000000-5 1.530324+6 7.030000-5 1.674084+6 7.060000-5 1.843200+6 7.092800-5 2.062278+6 7.124000-5 2.309689+6 7.150000-5 2.549952+6 7.180000-5 2.872146+6 7.210000-5 3.250674+6 7.244360-5 3.766572+6 7.285000-5 4.515078+6 7.328245-5 5.517867+6 7.340000-5 5.834400+6 7.344600-5 5.939030+6 7.413102-5 8.079161+6 7.420000-5 8.269924+6 7.540000-5 1.158600+7 7.560000-5 1.227382+7 7.635000-5 1.465413+7 7.650000-5 1.507579+7 7.860000-5 1.832911+7 8.095000-5 1.942183+7 8.110000-5 1.940946+7 8.400000-5 1.756360+7 8.728500-5 1.497326+7 9.110000-5 1.085289+7 9.354600-5 8.574996+6 9.549926-5 7.179394+6 1.035142-4 3.631978+6 1.083927-4 2.442820+6 1.220000-4 8.678280+5 1.260000-4 6.580680+5 1.290000-4 5.413314+5 1.315000-4 4.647072+5 1.335000-4 4.145664+5 1.350000-4 3.825648+5 1.365000-4 3.548118+5 1.380384-4 3.303032+5 1.396368-4 3.086366+5 1.412538-4 2.902353+5 1.430000-4 2.738946+5 1.445440-4 2.621662+5 1.462177-4 2.520142+5 1.479108-4 2.441549+5 1.496236-4 2.383868+5 1.513561-4 2.345195+5 1.531087-4 2.323767+5 1.550000-4 2.318040+5 1.570000-4 2.328936+5 1.590000-4 2.354706+5 1.610000-4 2.393034+5 1.639000-4 2.466880+5 1.670000-4 2.564484+5 1.720000-4 2.749968+5 1.850000-4 3.300834+5 1.905461-4 3.537492+5 1.972423-4 3.811051+5 2.041738-4 4.074339+5 2.113489-4 4.321683+5 2.162719-4 4.475188+5 2.238721-4 4.684936+5 2.317395-4 4.867662+5 2.400000-4 5.022450+5 2.483133-4 5.142054+5 2.580000-4 5.240484+5 2.691535-4 5.307951+5 2.800000-4 5.335440+5 2.917427-4 5.330963+5 3.054921-4 5.289024+5 3.200000-4 5.211084+5 3.350000-4 5.102850+5 3.507519-4 4.965872+5 3.700000-4 4.775004+5 3.930000-4 4.529802+5 4.168694-4 4.272204+5 4.430000-4 3.994518+5 4.731513-4 3.685783+5 5.011872-4 3.414003+5 5.370318-4 3.090524+5 5.821032-4 2.729148+5 6.237348-4 2.436393+5 6.700000-4 2.151558+5 7.244360-4 1.864330+5 7.943282-4 1.561739+5 8.609938-4 1.326888+5 9.332543-4 1.120077+5 1.030000-3 9.029880+4 1.135011-3 7.238714+4 1.244515-3 5.827050+4 1.350000-3 4.784130+4 1.479108-3 3.810990+4 1.640590-3 2.922173+4 1.819701-3 2.223763+4 2.020000-3 1.675794+4 2.264644-3 1.218634+4 2.511886-3 9.067712+3 2.786121-3 6.701998+3 3.090295-3 4.918768+3 3.427678-3 3.583882+3 3.801894-3 2.593494+3 4.216965-3 1.864137+3 4.677351-3 1.331031+3 5.248075-3 9.085668+2 5.888437-3 6.153955+2 6.606934-3 4.136745+2 7.413102-3 2.761264+2 8.317638-3 1.830697+2 9.440609-3 1.155890+2 1.071519-2 7.241750+1 1.216186-2 4.503203+1 1.380384-2 2.779895+1 1.566751-2 1.703677+1 1.798871-2 9.907696+0 2.089296-2 5.462645+0 2.426610-2 2.989112+0 2.851018-2 1.549432+0 3.389150-2 7.596240-1 4.168694-2 3.201907-1 8.128305-2 1.927031-2 1.000000-1 8.103278-3 1.188502-1 3.961336-3 1.380384-1 2.145942-3 1.584893-1 1.227874-3 1.798871-1 7.416410-4 2.018366-1 4.723822-4 2.238721-1 3.167927-4 2.483133-1 2.139689-4 2.722701-1 1.519647-4 2.985383-1 1.086740-4 3.273407-1 7.828926-5 3.548134-1 5.913954-5 3.801894-1 4.674934-5 4.120975-1 3.577692-5 4.466836-1 2.755687-5 4.841724-1 2.136086-5 5.308844-1 1.608111-5 5.754399-1 1.263282-5 6.095369-1 1.068438-5 6.606935-1 8.518728-6 7.161434-1 6.842612-6 8.222427-1 4.759826-6 8.810489-1 3.981796-6 9.332543-1 3.453809-6 9.885531-1 3.018195-6 1.047129+0 2.659297-6 1.109175+0 2.357179-6 1.174898+0 2.101579-6 1.258925+0 1.845068-6 1.380384+0 1.562245-6 1.757924+0 1.022457-6 1.972423+0 8.409647-7 2.238721+0 6.840693-7 2.570396+0 5.504769-7 2.951209+0 4.463964-7 3.427678+0 3.585719-7 4.000000+0 2.883300-7 4.677351+0 2.329285-7 5.559043+0 1.854940-7 6.683439+0 1.466555-7 8.128305+0 1.151514-7 1.023293+1 8.743244-8 1.303167+1 6.606312-8 1.678804+1 4.962589-8 2.264644+1 3.572842-8 3.090295+1 2.557319-8 4.570882+1 1.692731-8 7.244360+1 1.050493-8 1.364583+2 5.504259-9 2.722701+2 2.737092-9 1.083927+3 6.83404-10 1.000000+5 7.39340-12 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 6.778000-5 3.304300-5 1.000000+5 3.304300-5 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 6.778000-5 3.473700-5 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 2.361000-5 8.984040+4 2.398833-5 7.910660+4 2.520000-5 5.289080+4 2.570000-5 4.536420+4 2.610000-5 4.048640+4 2.635000-5 3.790780+4 2.665000-5 3.525260+4 2.691535-5 3.327474+4 2.720000-5 3.150840+4 2.750000-5 3.001280+4 2.770000-5 2.921000+4 2.795000-5 2.840840+4 2.820000-5 2.781660+4 2.840000-5 2.748520+4 2.860000-5 2.727120+4 2.890000-5 2.715480+4 2.920000-5 2.726540+4 2.951209-5 2.759982+4 2.985383-5 2.819734+4 3.020000-5 2.902280+4 3.060000-5 3.022140+4 3.109800-5 3.203060+4 3.170000-5 3.460660+4 3.400000-5 4.696120+4 3.500000-5 5.297700+4 3.589219-5 5.843759+4 3.672823-5 6.354946+4 3.770000-5 6.939500+4 3.850000-5 7.407680+4 3.950000-5 7.971240+4 4.030000-5 8.402080+4 4.150000-5 9.011500+4 4.265795-5 9.555231+4 4.400000-5 1.012930+5 4.518559-5 1.058617+5 4.677351-5 1.112564+5 4.850000-5 1.162180+5 5.011872-5 1.200700+5 5.188000-5 1.234565+5 5.400000-5 1.265400+5 5.623413-5 1.287702+5 5.821032-5 1.299970+5 6.095369-5 1.307332+5 6.400000-5 1.304958+5 6.760830-5 1.291531+5 7.161434-5 1.267381+5 7.585776-5 1.235027+5 8.128305-5 1.188196+5 8.800000-5 1.126988+5 9.549926-5 1.059197+5 1.047129-4 9.799494+4 1.150000-4 8.984040+4 1.260000-4 8.193540+4 1.380384-4 7.420140+4 1.531087-4 6.581101+4 1.778279-4 5.485130+4 2.187762-4 4.229634+4 2.500000-4 3.555280+4 2.851018-4 2.972306+4 3.427678-4 2.291853+4 4.027170-4 1.813832+4 5.128614-4 1.263001+4 5.956621-4 1.003605+4 7.084470-4 7.620960+3 8.511380-4 5.648142+3 1.035142-3 4.072062+3 1.244515-3 2.969025+3 1.531087-3 2.064349+3 1.883649-3 1.425409+3 2.398833-3 9.165779+2 2.985383-3 6.099462+2 3.672823-3 4.116258+2 4.570882-3 2.696536+2 5.559043-3 1.833019+2 6.531306-3 1.325399+2 7.943282-3 8.870847+1 9.660509-3 5.892993+1 1.188502-2 3.800605+1 1.396368-2 2.683463+1 1.584893-2 2.029240+1 1.862087-2 1.410641+1 2.213095-2 9.477784+0 2.600160-2 6.491874+0 3.054921-2 4.415112+0 3.589219-2 2.981187+0 4.265795-2 1.941324+0 5.069907-2 1.254390+0 6.025596-2 8.044878-1 7.244360-2 4.966007-1 8.810489-2 2.951642-1 1.059254-1 1.796854-1 1.396368-1 8.448758-2 2.398833-1 1.913940-2 2.884032-1 1.161679-2 3.388442-1 7.556050-3 3.890451-1 5.262560-3 4.415705-1 3.804003-3 5.000000-1 2.787400-3 5.623413-1 2.093658-3 6.237348-1 1.637687-3 6.918310-1 1.289688-3 7.673615-1 1.022580-3 8.609938-1 7.962779-4 9.440609-1 6.562351-4 1.047129+0 5.320204-4 1.174898+0 4.235087-4 1.348963+0 3.259554-4 1.513561+0 2.637041-4 1.698244+0 2.151172-4 1.905461+0 1.767454-4 2.162719+0 1.434946-4 2.454709+0 1.173291-4 2.818383+0 9.490502-5 3.235937+0 7.732857-5 3.758374+0 6.241296-5 4.415704+0 4.995109-5 5.188000+0 4.027772-5 6.165950+0 3.221807-5 7.498942+0 2.521692-5 9.225714+0 1.961732-5 1.135011+1 1.537062-5 1.445440+1 1.164993-5 1.840772+1 8.891083-6 2.630268+1 6.028852-6 3.758374+1 4.124186-6 5.821032+1 2.611997-6 9.772372+1 1.534116-6 1.949845+2 7.607938-7 3.890451+2 3.791577-7 1.548817+3 9.483009-8 1.000000+5 1.467000-9 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 2.361000-5 2.361000-5 1.000000+5 2.361000-5 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 2.361000-5 0.0 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 1.235000-5 3.846160+7 1.260000-5 3.791540+7 1.285000-5 3.708680+7 1.307000-5 3.617820+7 1.340000-5 3.457240+7 1.370000-5 3.293760+7 1.400000-5 3.121720+7 1.430000-5 2.946980+7 1.470000-5 2.713900+7 1.515000-5 2.461700+7 1.570000-5 2.176560+7 1.630000-5 1.898944+7 1.717908-5 1.555362+7 1.862087-5 1.133205+7 2.162719-5 6.263599+6 2.371374-5 4.374954+6 2.580000-5 3.171580+6 2.818383-5 2.280080+6 3.090295-5 1.627998+6 3.427678-5 1.123640+6 3.801894-5 7.807837+5 4.216965-5 5.459952+5 4.677351-5 3.843698+5 5.069907-5 2.943052+5 5.432503-5 2.355141+5 5.800000-5 1.919518+5 6.150000-5 1.609750+5 6.500000-5 1.373420+5 6.839116-5 1.195569+5 7.161434-5 1.061332+5 7.500000-5 9.480600+4 7.852356-5 8.531526+4 8.222426-5 7.725774+4 8.650000-5 6.977860+4 9.120108-5 6.323750+4 9.660509-5 5.728982+4 1.023293-4 5.229980+4 1.083927-4 4.807613+4 1.161449-4 4.380316+4 1.244515-4 4.021245+4 1.350000-4 3.665960+4 1.462177-4 3.372020+4 1.621810-4 3.049649+4 1.883649-4 2.663345+4 2.400000-4 2.150300+4 2.722701-4 1.910642+4 3.054921-4 1.702909+4 3.467369-4 1.489240+4 3.935501-4 1.293413+4 4.518559-4 1.100625+4 5.188000-4 9.294713+3 5.821032-4 8.023112+3 6.456542-4 6.978120+3 7.244360-4 5.931690+3 8.222426-4 4.922649+3 9.440609-4 3.984236+3 1.059254-3 3.318621+3 1.188502-3 2.744809+3 1.348963-3 2.210913+3 1.548817-3 1.731901+3 1.757924-3 1.375011+3 2.000000-3 1.079180+3 2.290868-3 8.300168+2 2.600160-3 6.450625+2 2.951209-3 4.977564+2 3.349654-3 3.812994+2 3.801894-3 2.899467+2 4.315191-3 2.188494+2 4.897788-3 1.639360+2 5.559043-3 1.218487+2 6.760830-3 7.660971+1 7.244360-3 6.468708+1 7.943282-3 5.125418+1 8.810489-3 3.915529+1 1.083927-2 2.254495+1 1.244515-2 1.551541+1 1.428894-2 1.059929+1 1.621810-2 7.421406+0 1.862087-2 4.993495+0 2.137962-2 3.335778+0 2.483133-2 2.138147+0 2.884032-2 1.360469+0 3.388442-2 8.297977-1 4.027170-2 4.845505-1 4.897788-2 2.611760-1 6.095369-2 1.298247-1 8.128305-2 5.119974-2 1.303167-1 1.108061-2 1.659587-1 5.093567-3 1.972423-1 2.942870-3 2.317395-1 1.776160-3 2.660725-1 1.160156-3 3.019952-1 7.904067-4 3.427678-1 5.424655-4 3.845918-1 3.879423-4 4.315191-1 2.794444-4 4.786301-1 2.093939-4 5.308844-1 1.579729-4 5.888437-1 1.200352-4 6.531306-1 9.190587-5 7.244360-1 7.091488-5 8.413951-1 4.931786-5 9.015711-1 4.191476-5 9.660509-1 3.587519-5 1.023293+0 3.172189-5 1.109175+0 2.687783-5 1.188600+0 2.344500-5 1.303167+0 1.971338-5 1.462177+0 1.600145-5 1.698244+0 1.228302-5 1.905461+0 1.008668-5 2.137962+0 8.341703-6 2.426610+0 6.816363-6 2.786121+0 5.510242-6 3.198895+0 4.487169-6 3.715352+0 3.619520-6 4.365158+0 2.895162-6 5.128614+0 2.333335-6 6.095369+0 1.865547-6 7.413102+0 1.459422-6 9.015711+0 1.150690-6 1.100000+1 9.096400-7 1.412538+1 6.821996-7 1.840772+1 5.073260-7 2.660725+1 3.397763-7 3.801894+1 2.324957-7 5.888437+1 1.472729-7 1.011579+2 8.450463-8 2.018366+2 4.192181-8 4.027170+2 2.089639-8 1.603245+3 5.227053-9 1.000000+5 8.37060-11 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 1.235000-5 1.235000-5 1.000000+5 1.235000-5 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.235000-5 0.0 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 1.096000-5 8.154120+7 1.120000-5 7.978760+7 1.148154-5 7.714463+7 1.174898-5 7.419793+7 1.202264-5 7.085391+7 1.230269-5 6.726154+7 1.260000-5 6.332320+7 1.288250-5 5.958761+7 1.320000-5 5.546920+7 1.364583-5 4.993998+7 1.412538-5 4.444652+7 1.470000-5 3.856768+7 1.531087-5 3.316130+7 1.621810-5 2.658983+7 1.778279-5 1.849387+7 2.089296-5 9.758548+6 2.300000-5 6.709440+6 2.511886-5 4.791594+6 2.730000-5 3.510088+6 2.985383-5 2.531347+6 3.235937-5 1.898370+6 3.507519-5 1.433117+6 3.801894-5 1.089368+6 4.073803-5 8.665719+5 4.365158-5 6.940945+5 4.650000-5 5.705360+5 4.900000-5 4.879440+5 5.188000-5 4.144343+5 5.432503-5 3.655857+5 5.688529-5 3.244707+5 5.956621-5 2.898579+5 6.237348-5 2.607112+5 6.531306-5 2.361408+5 6.839116-5 2.153599+5 7.161434-5 1.976924+5 7.500000-5 1.825468+5 7.943282-5 1.666226+5 8.413951-5 1.531859+5 9.015711-5 1.396043+5 9.772372-5 1.263555+5 1.071519-4 1.136616+5 1.202264-4 1.004244+5 1.396368-4 8.628689+4 2.187762-4 5.568697+4 2.500000-4 4.858720+4 2.786121-4 4.320014+4 3.126079-4 3.785064+4 3.548134-4 3.249171+4 4.073803-4 2.729991+4 4.677351-4 2.277904+4 5.432503-4 1.857612+4 6.095369-4 1.576800+4 6.839116-4 1.327748+4 7.762471-4 1.090560+4 8.912509-4 8.730606+3 1.011579-3 7.073529+3 1.148154-3 5.684980+3 1.303167-3 4.534115+3 1.479108-3 3.590324+3 1.698244-3 2.763237+3 1.927525-3 2.158342+3 2.213095-3 1.635985+3 2.511886-3 1.260040+3 2.851018-3 9.637314+2 3.235937-3 7.318901+2 3.672823-3 5.517811+2 4.168694-3 4.128653+2 4.731513-3 3.065490+2 5.370318-3 2.258610+2 6.095369-3 1.651280+2 6.918310-3 1.198007+2 7.852356-3 8.626172+1 8.912509-3 6.165402+1 1.011579-2 4.374751+1 1.148154-2 3.082288+1 1.303167-2 2.156523+1 1.479108-2 1.498440+1 1.698244-2 9.993894+0 1.949845-2 6.613816+0 2.238721-2 4.343566+0 2.570396-2 2.832217+0 2.985383-2 1.768728+0 3.467369-2 1.096559+0 4.073803-2 6.500886-1 4.841724-2 3.685098-1 5.956621-2 1.849255-1 7.498942-2 8.505059-2 1.364583-1 1.113572-2 1.717908-1 5.128528-3 2.018366-1 3.001710-3 2.317395-1 1.909084-3 2.630268-1 1.269668-3 2.951209-1 8.823792-4 3.273407-1 6.401435-4 3.630781-1 4.675449-4 4.027170-1 3.439873-4 4.415705-1 2.636102-4 4.841724-1 2.033505-4 5.308844-1 1.579755-4 5.821032-1 1.236150-4 6.382635-1 9.745521-5 6.998420-1 7.741038-5 7.673615-1 6.194489-5 8.511380-1 4.854221-5 9.120108-1 4.148944-5 9.772372-1 3.568964-5 1.059254+0 3.019672-5 1.161449+0 2.512084-5 1.273503+0 2.104813-5 1.412538+0 1.738874-5 1.659587+0 1.305298-5 1.883649+0 1.050011-5 2.113489+0 8.678139-6 2.398833+0 7.086809-6 2.754229+0 5.725188-6 3.162278+0 4.659455-6 3.672823+0 3.756282-6 4.265795+0 3.050453-6 5.011872+0 2.455979-6 6.000000+0 1.943500-6 7.244360+0 1.533211-6 8.709636+0 1.224645-6 1.071519+1 9.576437-7 1.380384+1 7.149978-7 1.819701+1 5.246122-7 2.630268+1 3.512493-7 3.758374+1 2.402851-7 5.821032+1 1.521752-7 9.885531+1 8.833451-8 1.972423+2 4.381263-8 3.935501+2 2.183594-8 1.566751+3 5.461610-9 1.000000+5 8.54690-11 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 1.096000-5 1.096000-5 1.000000+5 1.096000-5 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.096000-5 0.0 1.000000+5 1.000000+5 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.938230-7 1.027500+0 1.052810-6 1.028100+0 1.433380-6 1.028750+0 1.938230-6 1.029500+0 2.652520-6 1.030100+0 3.335860-6 1.031000+0 4.564600-6 1.032000+0 6.245520-6 1.033200+0 8.748910-6 1.034000+0 1.074010-5 1.035300+0 1.457820-5 1.036640+0 1.938230-5 1.038200+0 2.615700-5 1.039700+0 3.398320-5 1.041500+0 4.521430-5 1.043800+0 6.275890-5 1.046400+0 8.731710-5 1.048300+0 1.087120-4 1.051200+0 1.474660-4 1.054080+0 1.938230-4 1.057700+0 2.641940-4 1.061100+0 3.436510-4 1.065100+0 4.549590-4 1.070400+0 6.347190-4 1.076200+0 8.771840-4 1.080600+0 1.095460-3 1.087100+0 1.475940-3 1.093710+0 1.938230-3 1.102600+0 2.687190-3 1.110700+0 3.504410-3 1.120600+0 4.687440-3 1.133300+0 6.516900-3 1.147500+0 8.997240-3 1.158200+0 1.118120-2 1.174100+0 1.494560-2 1.190110+0 1.938230-2 1.205100+0 2.413590-2 1.227500+0 3.231380-2 1.250000+0 4.173000-2 1.265600+0 4.887530-2 1.294900+0 6.349330-2 1.320600+0 7.740450-2 1.343000+0 9.022600-2 1.382200+0 1.139410-1 1.433800+0 1.471870-1 1.500000+0 1.930000-1 1.589800+0 2.617960-1 1.665000+0 3.250920-1 1.784700+0 4.347490-1 1.892300+0 5.399050-1 2.000000+0 6.478000-1 2.044000+0 6.918000-1 2.163500+0 8.115880-1 2.372600+0 1.021020+0 2.647100+0 1.291170+0 3.000000+0 1.626000+0 3.500000+0 2.072390+0 4.000000+0 2.487000+0 4.750000+0 3.054030+0 5.000000+0 3.229000+0 6.000000+0 3.868000+0 7.000000+0 4.436000+0 8.000000+0 4.947000+0 9.000000+0 5.411000+0 1.000000+1 5.836000+0 1.100000+1 6.228000+0 1.200000+1 6.590000+0 1.300000+1 6.929000+0 1.400000+1 7.240000+0 1.500000+1 7.529000+0 1.600000+1 7.796000+0 1.800000+1 8.283000+0 2.000000+1 8.719000+0 2.200000+1 9.115000+0 2.400000+1 9.475000+0 2.600000+1 9.803000+0 2.800000+1 1.010000+1 3.000000+1 1.038000+1 4.000000+1 1.150000+1 5.000000+1 1.234000+1 6.000000+1 1.299000+1 8.000000+1 1.395000+1 1.000000+2 1.463000+1 1.500000+2 1.571000+1 2.000000+2 1.636000+1 3.000000+2 1.712000+1 4.000000+2 1.755000+1 5.000000+2 1.784000+1 6.000000+2 1.804000+1 8.000000+2 1.831000+1 1.000000+3 1.849000+1 1.500000+3 1.875000+1 2.000000+3 1.889000+1 3.000000+3 1.904000+1 4.000000+3 1.912000+1 5.000000+3 1.917000+1 6.000000+3 1.921000+1 8.000000+3 1.925000+1 1.000000+4 1.928000+1 1.500000+4 1.932000+1 2.000000+4 1.934000+1 3.000000+4 1.937000+1 4.000000+4 1.938000+1 5.000000+4 1.939000+1 6.000000+4 1.939000+1 8.000000+4 1.940000+1 1.000000+5 1.940000+1 1 54000 7 8 1.313000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 5.415630-7 2.099900+0 1.268420-6 2.106600+0 1.764470-6 2.114000+0 2.441370-6 2.119500+0 3.039490-6 2.127900+0 4.122120-6 2.136250+0 5.415630-6 2.147000+0 7.425210-6 2.156900+0 9.644450-6 2.169000+0 1.287110-5 2.184500+0 1.789130-5 2.201800+0 2.475310-5 2.214800+0 3.084050-5 2.234200+0 4.148590-5 2.253680+0 5.415630-5 2.281500+0 7.585550-5 2.307000+0 9.963580-5 2.338200+0 1.339690-4 2.377400+0 1.855310-4 2.410200+0 2.359640-4 2.446800+0 3.001600-4 2.485900+0 3.779180-4 2.532900+0 4.836540-4 2.556430+0 5.415630-4 2.611900+0 6.905540-4 2.660400+0 8.348450-4 2.745300+0 1.117390-3 2.809000+0 1.353220-3 2.904500+0 1.743300-3 3.000000+0 2.176000-3 3.125000+0 2.805820-3 3.234400+0 3.413950-3 3.425800+0 4.597020-3 3.569300+0 5.573980-3 3.784700+0 7.164550-3 4.000000+0 8.874000-3 4.250000+0 1.096340-2 4.625000+0 1.424640-2 5.000000+0 1.766000-2 5.500000+0 2.234820-2 6.000000+0 2.710000-2 6.750000+0 3.416600-2 7.000000+0 3.649000-2 8.000000+0 4.558000-2 9.000000+0 5.427000-2 1.000000+1 6.252000-2 1.100000+1 7.033000-2 1.200000+1 7.768000-2 1.300000+1 8.461000-2 1.400000+1 9.120000-2 1.500000+1 9.743000-2 1.600000+1 1.033000-1 1.800000+1 1.143000-1 2.000000+1 1.243000-1 2.200000+1 1.334000-1 2.400000+1 1.418000-1 2.600000+1 1.495000-1 2.800000+1 1.566000-1 3.000000+1 1.633000-1 4.000000+1 1.908000-1 5.000000+1 2.117000-1 6.000000+1 2.282000-1 8.000000+1 2.531000-1 1.000000+2 2.712000-1 1.500000+2 3.011000-1 2.000000+2 3.199000-1 3.000000+2 3.428000-1 4.000000+2 3.566000-1 5.000000+2 3.660000-1 6.000000+2 3.729000-1 8.000000+2 3.824000-1 1.000000+3 3.887000-1 1.500000+3 3.980000-1 2.000000+3 4.033000-1 3.000000+3 4.091000-1 4.000000+3 4.124000-1 5.000000+3 4.145000-1 6.000000+3 4.159000-1 8.000000+3 4.179000-1 1.000000+4 4.191000-1 1.500000+4 4.207000-1 2.000000+4 4.217000-1 3.000000+4 4.226000-1 4.000000+4 4.232000-1 5.000000+4 4.235000-1 6.000000+4 4.238000-1 8.000000+4 4.240000-1 1.000000+5 4.242000-1 1 54000 7 8 1.313000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 54000 7 9 1.313000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 5.400000+1 1.000000+5 5.400000+1 5.000000+5 5.398800+1 8.750000+5 5.396380+1 1.000000+6 5.395300+1 1.500000+6 5.389600+1 2.000000+6 5.381700+1 2.500000+6 5.371400+1 3.000000+6 5.359100+1 3.750000+6 5.336380+1 4.000000+6 5.328000+1 4.750000+6 5.299090+1 5.000000+6 5.289200+1 5.500000+6 5.267080+1 6.250000+6 5.230480+1 6.500000+6 5.217470+1 7.000000+6 5.190800+1 7.875000+6 5.140510+1 8.500000+6 5.102150+1 8.625000+6 5.094070+1 9.000000+6 5.070600+1 1.000000+7 5.004400+1 1.109400+7 4.928380+1 1.187500+7 4.873010+1 1.203100+7 4.861790+1 1.250000+7 4.828200+1 1.375000+7 4.736710+1 1.437500+7 4.691060+1 1.500000+7 4.645500+1 1.687500+7 4.509660+1 1.750000+7 4.465500+1 1.937500+7 4.335220+1 2.000000+7 4.293400+1 2.250000+7 4.131610+1 2.375000+7 4.054930+1 2.500000+7 3.981400+1 2.750000+7 3.841340+1 2.875000+7 3.775080+1 3.000000+7 3.711000+1 3.250000+7 3.588180+1 3.500000+7 3.471810+1 3.625000+7 3.415590+1 4.000000+7 3.253800+1 4.500000+7 3.050570+1 5.000000+7 2.861500+1 5.500000+7 2.685730+1 6.000000+7 2.525100+1 7.000000+7 2.251100+1 8.000000+7 2.036800+1 9.000000+7 1.870000+1 1.000000+8 1.735700+1 1.125000+8 1.594470+1 1.218800+8 1.497320+1 1.250000+8 1.465800+1 1.312500+8 1.403290+1 1.406300+8 1.311550+1 1.437500+8 1.281620+1 1.500000+8 1.222700+1 1.562500+8 1.165200+1 1.671900+8 1.069410+1 1.750000+8 1.005490+1 1.753900+8 1.002420+1 1.877000+8 9.101460+0 2.000000+8 8.278500+0 2.218800+8 7.073650+0 2.289100+8 6.767070+0 2.375000+8 6.446290+0 2.394500+8 6.381800+0 2.473600+8 6.149060+0 2.500000+8 6.081300+0 3.000000+8 5.214700+0 3.125000+8 4.984490+0 3.453100+8 4.414490+0 3.500000+8 4.348100+0 4.000000+8 3.798500+0 4.125000+8 3.658540+0 4.234400+8 3.531820+0 4.425800+8 3.308230+0 4.677000+8 3.025880+0 4.750000+8 2.947770+0 5.000000+8 2.699200+0 5.500000+8 2.285120+0 6.000000+8 1.953700+0 6.437500+8 1.718710+0 6.683600+8 1.615430+0 6.894500+8 1.544960+0 7.000000+8 1.516100+0 7.125000+8 1.487190+0 7.343800+8 1.446580+0 7.835900+8 1.374190+0 8.000000+8 1.349500+0 8.250000+8 1.307700+0 8.468800+8 1.268480+0 1.000000+9 1.016300+0 1.031300+9 9.793540-1 1.089800+9 9.223600-1 1.320600+9 7.643860-1 1.375000+9 7.315940-1 1.384600+9 7.258180-1 1.442300+9 6.907200-1 1.500000+9 6.549700-1 1.562500+9 6.154910-1 1.617200+9 5.811750-1 1.665000+9 5.518020-1 1.748800+9 5.025310-1 1.811600+9 4.679300-1 1.905800+9 4.201800-1 2.000000+9 3.775900-1 2.139200+9 3.234750-1 2.272600+9 2.800430-1 2.443000+9 2.342880-1 2.602800+9 1.993510-1 2.825100+9 1.606810-1 2.961100+9 1.415220-1 3.215900+9 1.126260-1 3.536500+9 8.590200-2 3.804800+9 6.937020-2 4.103600+9 5.536700-2 4.423800+9 4.406640-2 4.807900+9 3.406930-2 5.000000+9 3.014400-2 5.375000+9 2.399100-2 6.031300+9 1.659480-2 7.015600+9 1.016480-2 8.000000+9 6.619200-3 1.00000+10 3.193000-3 1.13510+10 2.116700-3 1.41440+10 1.043390-3 1.70770+10 5.726880-4 2.01080+10 3.418410-4 2.51010+10 1.706990-4 2.97820+10 1.003580-4 3.85600+10 4.529160-5 4.62400+10 2.599670-5 5.96800+10 1.198500-5 7.98400+10 4.989370-6 1.00000+11 2.543800-6 1.34280+11 1.058350-6 1.77440+11 4.640650-7 2.63330+11 1.454320-7 4.88110+11 2.409120-8 1.16740+12 1.955440-9 3.55150+12 8.25308-11 1.00000+14 6.98310-15 2.05350+15 1.36544-18 1.00000+17 2.13530-23 1 54000 7 0 1.313000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 5.20000-12 1.000000+2 5.20000-10 1.000000+3 5.200000-8 1.000000+4 5.200000-6 1.000000+5 5.200000-4 5.000000+5 1.300000-2 8.750000+5 3.981250-2 1.000000+6 5.200000-2 1.500000+6 1.162000-1 2.000000+6 2.053000-1 2.500000+6 3.183000-1 3.000000+6 4.539000-1 3.750000+6 6.966860-1 4.000000+6 7.875000-1 4.750000+6 1.086260+0 5.000000+6 1.194000+0 5.500000+6 1.419990+0 6.250000+6 1.782350+0 6.500000+6 1.908540+0 7.000000+6 2.167900+0 7.875000+6 2.639510+0 8.500000+6 2.987140+0 8.625000+6 3.057250+0 9.000000+6 3.269500+0 1.000000+7 3.841000+0 1.109400+7 4.469600+0 1.187500+7 4.917860+0 1.203100+7 5.006690+0 1.250000+7 5.274700+0 1.375000+7 5.981330+0 1.437500+7 6.330280+0 1.500000+7 6.677000+0 1.687500+7 7.697420+0 1.750000+7 8.032500+0 1.937500+7 9.017720+0 2.000000+7 9.340000+0 2.250000+7 1.058970+1 2.375000+7 1.118920+1 2.500000+7 1.177100+1 2.750000+7 1.287240+1 2.875000+7 1.339140+1 3.000000+7 1.389200+1 3.250000+7 1.483120+1 3.500000+7 1.570450+1 3.625000+7 1.612060+1 4.000000+7 1.730700+1 4.500000+7 1.877850+1 5.000000+7 2.017500+1 5.500000+7 2.152340+1 6.000000+7 2.283300+1 7.000000+7 2.532400+1 8.000000+7 2.761900+1 9.000000+7 2.968000+1 1.000000+8 3.148800+1 1.125000+8 3.340530+1 1.218800+8 3.464240+1 1.250000+8 3.502300+1 1.312500+8 3.573740+1 1.406300+8 3.672470+1 1.437500+8 3.703530+1 1.500000+8 3.762800+1 1.562500+8 3.818830+1 1.671900+8 3.911270+1 1.750000+8 3.972700+1 1.753900+8 3.975630+1 1.877000+8 4.065100+1 2.000000+8 4.147700+1 2.218800+8 4.278470+1 2.289100+8 4.316320+1 2.375000+8 4.361110+1 2.394500+8 4.370760+1 2.473600+8 4.409330+1 2.500000+8 4.422000+1 3.000000+8 4.625400+1 3.125000+8 4.668270+1 3.453100+8 4.768400+1 3.500000+8 4.781700+1 4.000000+8 4.903000+1 4.125000+8 4.928250+1 4.234400+8 4.949830+1 4.425800+8 4.983950+1 4.677000+8 5.023440+1 4.750000+8 5.033840+1 5.000000+8 5.067300+1 5.500000+8 5.120620+1 6.000000+8 5.162000+1 6.437500+8 5.190400+1 6.683600+8 5.203500+1 6.894500+8 5.214380+1 7.000000+8 5.219700+1 7.125000+8 5.225150+1 7.343800+8 5.234480+1 7.835900+8 5.253270+1 8.000000+8 5.259100+1 8.250000+8 5.266860+1 8.468800+8 5.273480+1 1.000000+9 5.312300+1 1.031300+9 5.318270+1 1.089800+9 5.328970+1 1.320600+9 5.359990+1 1.375000+9 5.365370+1 1.384600+9 5.366150+1 1.442300+9 5.370710+1 1.500000+9 5.375100+1 1.562500+9 5.378590+1 1.617200+9 5.381540+1 1.665000+9 5.383470+1 1.748800+9 5.386540+1 1.811600+9 5.388740+1 1.905800+9 5.390980+1 2.000000+9 5.393100+1 2.139200+9 5.395040+1 2.272600+9 5.396780+1 2.443000+9 5.398380+1 2.602800+9 5.399140+1 2.825100+9 5.400110+1 2.961100+9 5.400670+1 3.215900+9 5.400820+1 3.536500+9 5.400620+1 3.804800+9 5.400470+1 4.103600+9 5.400310+1 4.423800+9 5.400160+1 4.807900+9 5.399980+1 5.000000+9 5.399900+1 5.375000+9 5.399920+1 6.031300+9 5.399940+1 7.015600+9 5.399970+1 8.000000+9 5.400000+1 1.00000+10 5.400000+1 1.13510+10 5.400000+1 1.41440+10 5.400000+1 1.70770+10 5.400000+1 2.01080+10 5.400000+1 2.51010+10 5.400000+1 2.97820+10 5.400000+1 3.85600+10 5.400000+1 4.62400+10 5.400000+1 5.96800+10 5.400000+1 7.98400+10 5.400000+1 1.00000+11 5.400000+1 1.34280+11 5.400000+1 1.77440+11 5.400000+1 2.63330+11 5.400000+1 4.88110+11 5.400000+1 1.16740+12 5.400000+1 3.55150+12 5.400000+1 1.00000+14 5.400000+1 2.05350+15 5.400000+1 1.00000+17 5.400000+1 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.051489-6 0.0 7.513095-6 0.0 7.545457-6 3.725076+0 7.550080-6 4.251800+0 7.568572-6 7.766260+0 7.587065-6 1.309498+1 7.607869-6 2.149279+1 7.639942-6 3.749576+1 7.663622-6 4.842169+1 7.681225-6 5.396321+1 7.700497-6 5.580168+1 7.718649-6 5.331805+1 7.738802-6 4.625188+1 7.769999-6 3.088445+1 7.790483-6 2.087781+1 7.810131-6 1.313837+1 7.827468-6 8.031917+0 7.845960-6 4.418424+0 7.872543-6 1.263393+0 7.882945-6 0.0 8.489258-6 0.0 8.510153-6 4.173654-6 8.531048-6 8.258510-6 8.543005-6 1.216059-5 8.551943-6 1.653494-5 8.572839-6 3.024944-5 8.585060-6 4.046496-5 8.593734-6 4.865056-5 8.606087-6 6.215026-5 8.627115-6 8.878276-5 8.656420-6 1.303400-4 8.677315-6 1.568361-4 8.698210-6 1.759471-4 8.719105-6 1.841948-4 8.740000-6 1.800783-4 8.760896-6 1.645048-4 8.781791-6 1.404646-4 8.823581-6 8.362189-5 8.844477-6 5.826082-5 8.858418-6 4.411331-5 8.865372-6 3.788923-5 8.879445-6 2.716669-5 8.891780-6 1.956356-5 8.935552-6 1.625999+0 8.957438-6 2.970012+0 8.979324-6 5.007847+0 9.001210-6 7.794673+0 9.034039-6 1.302472+1 9.066868-6 1.818702+1 9.088754-6 2.055531+1 9.113012-6 2.137407+1 9.129616-6 2.087151+1 9.159883-6 2.427277+1 9.176298-6 2.553862+1 9.198184-6 2.997574+1 9.220070-6 3.856055+1 9.244782-6 5.423211+1 9.281161-6 8.487110+1 9.310792-6 1.107358+2 9.333921-6 1.240634+2 9.357471-6 1.289272+2 9.380586-6 1.237086+2 9.403490-6 1.100833+2 9.466687-6 5.717750+1 9.491967-6 3.992546+1 9.511630-6 2.933381+1 9.534101-6 2.054188+1 9.566404-6 1.129208+1 9.579044-6 7.489229+0 9.618570-6 4.243946+0 9.641402-6 2.739744+0 9.664233-6 1.632691+0 9.687065-6 8.981568-1 9.721313-6 2.283151-1 9.732729-6 0.0 9.805744-6 0.0 9.808965-6 3.354698-2 9.857252-6 4.873390+0 9.881395-6 8.884738+0 9.905539-6 1.506647+1 9.935802-6 2.616020+1 9.998586-6 5.348256+1 1.000754-5 5.702637+1 1.003442-5 6.408154+1 1.005380-5 6.601235+1 1.007824-5 6.351196+1 1.010828-5 5.452437+1 1.017263-5 2.913970+1 1.019591-5 2.235512+1 1.021605-5 1.887376+1 1.022485-5 1.799930+1 1.024521-5 1.755936+1 1.026592-5 1.914977+1 1.029282-5 2.205014+1 1.033585-5 3.174511+1 1.036442-5 3.616265+1 1.038847-5 3.807875+1 1.042157-5 3.807673+1 1.050332-5 3.383847+1 1.054016-5 3.625985+1 1.056156-5 3.859737+1 1.058907-5 4.348709+1 1.063094-5 5.404635+1 1.071841-5 8.453908+1 1.074912-5 9.004920+1 1.077154-5 9.066695+1 1.080067-5 8.604987+1 1.083730-5 7.470184+1 1.092439-5 4.189321+1 1.094900-5 3.475870+1 1.098180-5 2.729169+1 1.102156-5 1.969396+1 1.104482-5 1.762928+1 1.108071-5 1.528289+1 1.111643-5 1.387775+1 1.116789-5 1.292142+1 1.118751-5 1.287329+1 1.123947-5 1.494442+1 1.127132-5 1.723072+1 1.130093-5 2.053394+1 1.133309-5 2.538659+1 1.140968-5 3.872377+1 1.144041-5 4.201396+1 1.146795-5 4.283098+1 1.149398-5 4.160045+1 1.153023-5 3.731327+1 1.159471-5 2.787887+1 1.162487-5 2.498828+1 1.165606-5 2.397667+1 1.168528-5 2.453427+1 1.175786-5 2.894372+1 1.179481-5 3.092401+1 1.183756-5 3.142702+1 1.195661-5 3.012446+1 1.217579-5 2.975434+1 1.223036-5 2.904379+1 1.230987-5 2.676298+1 1.243820-5 2.140896+1 1.251172-5 1.935762+1 1.260230-5 1.832944+1 1.594736-5 1.117395+1 1.717908-5 9.037952+0 1.846327-5 7.311071+0 2.003720-5 5.737397+0 2.092027-5 5.049730+0 2.112624-5 5.059882+0 2.138371-5 5.360052+0 2.153819-5 5.192650+0 2.179565-5 4.572631+0 2.195013-5 4.389539+0 2.259196-5 4.194229+0 2.335712-5 3.754022+0 2.415259-5 3.362220+0 2.577486-5 2.798529+0 2.772785-5 2.290112+0 2.992055-5 1.873189+0 3.253794-5 1.516547+0 3.507519-5 1.267049+0 3.826595-5 1.042561+0 4.150000-5 8.815352-1 4.574827-5 7.351198-1 4.949728-5 6.459007-1 5.433739-5 5.659930-1 6.155579-5 4.933121-1 6.393502-5 4.773966-1 6.424976-5 6.998777-1 6.440712-5 8.844291-1 6.456543-5 1.167052+0 6.472186-5 1.548637+0 6.520310-5 3.046714+0 6.536410-5 3.408181+0 6.553723-5 3.592053+0 6.571793-5 3.544816+0 6.621205-5 2.996037+0 6.636687-5 2.934781+0 6.656667-5 3.046871+0 6.686509-5 3.457544+0 6.730378-5 4.169716+0 6.753274-5 4.251904+0 6.773478-5 4.111745+0 6.819116-5 3.439911+0 6.845740-5 3.141692+0 6.865814-5 3.052435+0 6.967250-5 3.093827+0 7.035622-5 3.085032+0 7.083911-5 3.345894+0 7.126976-5 3.767300+0 7.180000-5 4.498660+0 7.227160-5 5.356792+0 7.286065-5 6.776419+0 7.353133-5 8.919920+0 7.452479-5 1.294144+1 7.569289-5 1.874393+1 7.730000-5 2.705799+1 7.876465-5 3.320492+1 8.045139-5 3.763380+1 8.192000-5 3.920897+1 8.428116-5 3.773716+1 8.845359-5 3.092970+1 9.364507-5 2.108890+1 9.682116-5 1.640282+1 9.981470-5 1.314227+1 1.030920-4 1.041794+1 1.067923-4 8.081143+0 1.104010-4 6.360718+0 1.141782-4 4.997526+0 1.181023-4 3.941555+0 1.223212-4 3.101362+0 1.263463-4 2.512354+0 1.302440-4 2.091129+0 1.346272-4 1.750164+0 1.388562-4 1.524105+0 1.412503-4 1.431962+0 1.419456-4 1.557655+0 1.422933-4 1.669648+0 1.426485-4 1.850555+0 1.430129-4 2.110386+0 1.440731-4 3.133395+0 1.444233-4 3.405634+0 1.447772-4 3.573365+0 1.451318-4 3.620963+0 1.455642-4 3.540111+0 1.482583-4 2.487232+0 1.493900-4 2.188138+0 1.500678-4 2.075445+0 1.512594-4 2.024421+0 1.537516-4 2.029798+0 1.549175-4 2.144711+0 1.556558-4 2.320285+0 1.572591-4 2.873755+0 1.579990-4 2.971395+0 1.591501-4 2.871699+0 1.613545-4 2.567852+0 1.631698-4 2.462161+0 1.751908-4 2.734466+0 2.014748-4 3.502689+0 2.034252-4 3.682702+0 2.065380-4 4.351165+0 2.079842-4 4.423326+0 2.113175-4 4.231470+0 2.438239-4 5.220993+0 2.803366-4 5.978017+0 3.233609-4 6.526797+0 3.731301-4 6.814255+0 4.508720-4 6.816727+0 6.302489-4 6.051470+0 6.621795-4 5.955190+0 6.656273-4 6.242555+0 6.681362-4 6.872366+0 6.700385-4 7.773176+0 6.718851-4 9.116419+0 6.737256-4 1.094844+1 6.768351-4 1.497064+1 6.842889-4 2.528827+1 6.938251-4 3.669319+1 6.992809-4 4.078782+1 7.070127-4 4.264617+1 7.188590-4 4.231990+1 7.456524-4 3.617498+1 7.697652-4 3.360293+1 8.155126-4 3.074235+1 9.074047-4 2.703245+1 9.188485-4 2.783813+1 9.318696-4 2.967491+1 9.774610-4 2.878468+1 1.001768-3 2.925715+1 1.106541-3 2.646502+1 1.133564-3 2.669766+1 1.368516-3 2.141693+1 1.610784-3 1.740071+1 1.861377-3 1.432999+1 2.190680-3 1.142230+1 2.495426-3 9.473258+0 2.866645-3 7.727132+0 3.287570-3 6.290811+0 3.723381-3 5.198602+0 4.271965-3 4.200326+0 4.658497-3 3.675174+0 4.691462-3 3.785693+0 4.708914-3 4.026962+0 4.725146-3 4.472897+0 4.741870-3 5.209812+0 4.769112-3 6.910789+0 4.800529-3 8.851316+0 4.823902-3 9.753630+0 4.847439-3 1.015841+1 4.925000-3 1.015268+1 5.027431-3 9.993537+0 5.066343-3 1.047757+1 5.145364-3 1.245097+1 5.193996-3 1.273151+1 5.354129-3 1.238789+1 5.460443-3 1.336942+1 5.592008-3 1.314311+1 6.466651-3 1.051415+1 7.413103-3 8.451484+0 8.484413-3 6.794563+0 9.758319-3 5.398680+0 1.111271-2 4.342085+0 1.260441-2 3.505653+0 1.402410-2 2.916667+0 1.567995-2 2.402897+0 1.756081-2 1.970613+0 1.980066-2 1.594236+0 2.222789-2 1.297827+0 2.508893-2 1.044048+0 2.788779-2 8.623519-1 3.138058-2 6.964608-1 3.368552-2 6.148988-1 3.387307-2 6.321204-1 3.398127-2 6.716578-1 3.406855-2 7.366463-1 3.415556-2 8.453122-1 3.425213-2 1.031815+0 3.433656-2 1.256080+0 3.448114-2 1.754093+0 3.471180-2 2.609077+0 3.486357-2 3.020306+0 3.502238-2 3.258323+0 3.523464-2 3.360426+0 4.168694-2 2.584384+0 4.774265-2 2.065986+0 5.402488-2 1.673517+0 6.095369-2 1.357822+0 6.920094-2 1.086620+0 7.856494-2 8.664515-1 8.939970-2 6.859828-1 9.973285-2 5.622313-1 1.123533-1 4.515928-1 1.237243-1 3.777563-1 1.380338-1 3.086229-1 1.538215-1 2.526435-1 1.693363-1 2.114928-1 1.878762-1 1.744671-1 2.084791-1 1.440610-1 2.294884-1 1.209894-1 2.537318-1 1.008515-1 2.833777-1 8.288830-2 3.168874-1 6.824854-2 3.525231-1 5.691765-2 3.925602-1 4.762036-2 4.373018-1 4.004482-2 4.897788-1 3.361062-2 5.499364-1 2.834216-2 6.183723-1 2.404283-2 7.001388-1 2.040983-2 8.058422-1 1.716780-2 9.120109-1 1.490702-2 1.070165+0 1.259233-2 1.286622+0 1.029863-2 1.546860+0 8.422728-3 1.859734+0 6.888524-3 2.235892+0 5.633776-3 2.688134+0 4.607581-3 3.231848+0 3.768307-3 3.885536+0 3.081908-3 4.671441+0 2.520537-3 5.616308+0 2.061420-3 6.752287+0 1.685931-3 8.118035+0 1.378838-3 9.760024+0 1.127682-3 1.000000+1 2.300771-3 1 54000 7 0 1.313000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-5.395198+1 3.051489-6-5.349167+1 5.827674-6-5.094218+1 6.830275-6-4.746473+1 7.200000-6-4.388191+1 7.371838-6-3.993563+1 7.457624-6-3.572703+1 7.497737-6-3.198582+1 7.514250-6-2.908026+1 7.550080-6-2.303701+1 7.570884-6-1.897410+1 7.593422-6-1.536018+1 7.607869-6-1.414114+1 7.617982-6-1.423309+1 7.628673-6-1.514353+1 7.639942-6-1.737249+1 7.653233-6-2.168032+1 7.661035-6-2.516313+1 7.678011-6-3.423061+1 7.699429-6-4.848834+1 7.711924-6-5.635191+1 7.723213-6-4.912704+1 7.740639-6-4.031400+1 7.757832-6-3.456626+1 7.771990-6-3.214754+1 7.788532-6-3.155581+1 7.808975-6-3.363396+1 7.899905-6-4.994159+1 7.965318-6-5.553722+1 7.991303-6-5.630767+1 8.178031-6-5.033054+1 8.606087-6-4.048056+1 8.760896-6-3.489988+1 8.844477-6-3.023708+1 8.891780-6-2.611065+1 8.935552-6-2.125616+1 8.984796-6-1.497801+1 9.006682-6-1.255778+1 9.023096-6-1.120644+1 9.034039-6-1.053629+1 9.055925-6-9.936993+0 9.066868-6-9.976725+0 9.094226-6-1.050040+1 9.113012-6-1.033223+1 9.117163-6-1.010419+1 9.123390-6-9.467212+0 9.128059-6-8.698198+0 9.132716-6-7.562788+0 9.138140-6-6.645873+0 9.146276-6-5.461921+0 9.159883-6-3.671455+0 9.168091-6-2.189846+0 9.172194-6-1.270418+0 9.174246-6-7.365122-1 9.176298-6-7.651732-2 9.179034-6 7.943190-1 9.188609-6 3.365306+0 9.193396-6 4.744292+0 9.195790-6 5.524830+0 9.198184-6 6.503006+0 9.220070-6 1.353643+1 9.222808-6 1.458480+1 9.227599-6 1.584222+1 9.244782-6 1.943831+1 9.253384-6 2.002113+1 9.267253-6 1.925791+1 9.277128-6 1.716646+1 9.284689-6 1.466086+1 9.290864-6 1.203367+1 9.295495-6 9.690963+0 9.298968-6 7.698418+0 9.301573-6 6.051990+0 9.305480-6 3.279751+0 9.307434-6 1.705088+0 9.308410-6 8.393835-1 9.309387-6-1.603554-1 9.310792-6-1.573013+0 9.323959-6-1.316769+1 9.330377-6-1.967621+1 9.333921-6-2.410328+1 9.352211-6-4.409083+1 9.360874-6-5.519097+1 9.363678-6-5.828146+1 9.374725-6-4.713299+1 9.380586-6-3.986916+1 9.401119-6-2.004832+1 9.407798-6-1.474576+1 9.415127-6-1.004564+1 9.418119-6-8.366675+0 9.423356-6-5.714768+0 9.427284-6-3.945746+0 9.433175-6-1.619072+0 9.439067-6 3.439035-1 9.442519-6 1.325191+0 9.448561-6 2.713917+0 9.453093-6 3.484099+0 9.456491-6 3.900152+0 9.461589-6 4.229189+0 9.464138-6 4.226440+0 9.477923-6 3.059939+0 9.483540-6 2.391424+0 9.486349-6 1.909614+0 9.489158-6 1.186811+0 9.491967-6 4.233312-1 9.501799-6-1.636569+0 9.506714-6-2.772987+0 9.509172-6-3.430879+0 9.511630-6-4.261148+0 9.534101-6-1.065848+1 9.541826-6-1.294451+1 9.566404-6-1.915010+1 9.577464-6-2.281671+1 9.582672-6-2.519814+1 9.597957-6-2.977589+1 9.647109-6-4.089576+1 9.750165-6-5.975587+1 9.805744-6-4.939224+1 9.845180-6-4.062842+1 9.910511-6-2.584946+1 9.935802-6-2.250437+1 9.948639-6-2.201701+1 9.963702-6-2.277448+1 9.974693-6-2.422434+1 9.992804-6-2.798996+1 1.000602-5-3.232103+1 1.002949-5-4.215189+1 1.006052-5-5.852928+1 1.006753-5-5.999496+1 1.008517-5-5.135216+1 1.011025-5-4.275620+1 1.012979-5-3.919334+1 1.014992-5-3.795758+1 1.016944-5-3.924521+1 1.019526-5-4.451430+1 1.025771-5-6.188808+1 1.030517-5-5.307007+1 1.033350-5-5.218343+1 1.037871-5-5.621368+1 1.043456-5-6.167309+1 1.048000-5-6.176370+1 1.059361-5-4.975267+1 1.063608-5-4.833814+1 1.066460-5-5.117721+1 1.069333-5-5.758460+1 1.071453-5-6.562550+1 1.071601-5-6.644697+1 1.074472-5-5.343244+1 1.080067-5-2.473982+1 1.080766-5-2.183417+1 1.083159-5-1.297445+1 1.083730-5-1.120356+1 1.084768-5-8.595144+0 1.085709-5-6.703700+0 1.086533-5-5.351733+0 1.087254-5-4.376813+0 1.087885-5-3.672982+0 1.088989-5-2.764040+0 1.089816-5-2.348839+0 1.090437-5-2.193815+0 1.091369-5-2.245919+0 1.091834-5-2.423261+0 1.094250-5-4.447046+0 1.096775-5-7.314068+0 1.100166-5-1.180805+1 1.101622-5-1.423340+1 1.102447-5-1.606433+1 1.106010-5-2.183646+1 1.112895-5-3.137791+1 1.123947-5-4.558950+1 1.131160-5-5.343104+1 1.135611-5-5.515863+1 1.139853-5-5.292150+1 1.144041-5-4.627076+1 1.150000-5-3.530734+1 1.153023-5-3.157602+1 1.156375-5-3.003065+1 1.159035-5-3.046988+1 1.162487-5-3.323833+1 1.169204-5-3.959853+1 1.175061-5-4.147317+1 1.182254-5-3.878600+1 1.188731-5-3.658781+1 1.211345-5-3.354818+1 1.232894-5-2.782348+1 1.240280-5-2.733537+1 1.252629-5-2.952763+1 1.269129-5-3.223903+1 1.299519-5-3.372494+1 1.415168-5-3.424682+1 1.763228-5-3.451013+1 2.138371-5-3.625339+1 2.184714-5-3.602888+1 3.253794-5-3.950173+1 5.433739-5-4.468455+1 6.215979-5-4.869794+1 6.440712-5-5.182951+1 6.529707-5-5.248885+1 6.621205-5-5.171730+1 6.730378-5-5.256118+1 6.825015-5-5.218814+1 7.107417-5-5.762247+1 7.452479-5-6.600712+1 7.632703-5-6.649104+1 7.859768-5-6.059333+1 8.326191-5-4.034949+1 8.511248-5-3.401010+1 8.794478-5-2.719596+1 9.044245-5-2.347907+1 9.209550-5-2.190320+1 9.439559-5-2.107302+1 9.902980-5-2.140120+1 1.290000-4-2.937946+1 1.412503-4-3.245295+1 1.438478-4-3.350386+1 1.467875-4-3.185665+1 1.572591-4-3.355996+1 1.625200-4-3.330437+1 2.069387-4-3.554913+1 3.936917-4-3.426778+1 4.937862-4-3.529257+1 5.599610-4-3.766411+1 6.062452-4-4.115338+1 6.352914-4-4.532153+1 6.550122-4-5.074515+1 6.650543-4-5.639226+1 6.768351-4-6.715199+1 6.830365-4-6.792028+1 6.917165-4-6.445079+1 7.082987-4-4.877833+1 7.207660-4-4.028259+1 7.301742-4-3.579860+1 7.410726-4-3.308878+1 7.843511-4-2.839747+1 8.398932-4-2.504219+1 8.831596-4-2.348122+1 9.074047-4-2.397103+1 9.220976-4-2.489392+1 9.454420-4-2.206022+1 9.712647-4-2.068179+1 9.949738-4-1.996215+1 1.021250-3-1.803289+1 1.069651-3-1.594511+1 1.106541-3-1.514363+1 1.125694-3-1.484474+1 1.155529-3-1.339727+1 1.230269-3-1.127530+1 1.335554-3-9.309052+0 1.437143-3-7.997825+0 1.562565-3-6.858127+0 1.722860-3-5.940995+0 1.928731-3-5.266149+0 2.190680-3-4.883210+0 2.495426-3-4.811430+0 2.866645-3-5.020330+0 3.287570-3-5.525479+0 3.723381-3-6.336383+0 4.091049-3-7.388950+0 4.346835-3-8.551889+0 4.518041-3-9.821999+0 4.613738-3-1.099376+1 4.673451-3-1.225168+1 4.736222-3-1.468075+1 4.769112-3-1.556826+1 4.800529-3-1.519765+1 4.868374-3-1.278655+1 4.925000-3-1.175051+1 4.991790-3-1.138283+1 5.094644-3-1.205595+1 5.131039-3-1.161122+1 5.213955-3-9.756957+0 5.284013-3-8.938936+0 5.354129-3-8.699529+0 5.410431-3-8.591278+0 5.460443-3-7.981691+0 5.534502-3-6.851463+0 5.636194-3-5.861626+0 5.790994-3-4.836431+0 5.973791-3-3.945156+0 6.099722-3-3.455090+0 6.294911-3-2.839164+0 6.557176-3-2.203062+0 6.805979-3-1.743422+0 6.978109-3-1.479889+0 7.156444-3-1.254621+0 7.413103-3-9.848784-1 7.645566-3-7.883629-1 7.966475-3-5.743724-1 8.246868-3-4.292337-1 8.484413-3-3.289678-1 8.789187-3-2.247406-1 8.983332-3-1.714872-1 9.166162-3-1.307047-1 9.332543-3-9.653322-2 9.549926-3-5.940977-2 9.643496-3-4.595202-2 9.758319-3-3.142316-2 9.911700-3-1.531588-2 9.944390-3-1.238447-2 1.004123-2-4.526853-3 1.008955-2-5.041656-4 1.014495-2 4.196390-3 1.018839-2 7.401686-3 1.021917-2 9.295117-3 1.040369-2 1.920043-2 1.044952-2 2.131975-2 1.055919-2 2.498515-2 1.067743-2 2.819837-2 1.090837-2 3.111235-2 1.138127-2 3.163236-2 1.142385-2 3.118682-2 1.170558-2 2.365352-2 1.186206-2 1.775999-2 1.206332-2 9.567634-3 1.234237-2-3.399011-3 1.239463-2-5.760221-3 1.244515-2-8.317064-3 1.273503-2-2.418515-2 1.315054-2-5.033471-2 1.358643-2-8.048988-2 1.498554-2-1.901252-1 2.408025-2-9.641148-1 2.705298-2-1.257063+0 2.930675-2-1.545169+0 3.099180-2-1.850327+0 3.201139-2-2.118878+0 3.284989-2-2.448597+0 3.342694-2-2.808531+0 3.375733-2-3.145821+0 3.403792-2-3.623662+0 3.440090-2-4.384274+0 3.453891-2-4.484929+0 3.471180-2-4.336731+0 3.523464-2-3.167223+0 3.552782-2-2.734638+0 3.591641-2-2.365586+0 3.640000-2-2.047304+0 3.711358-2-1.712200+0 3.801722-2-1.406211+0 3.913615-2-1.130136+0 4.048553-2-8.906149-1 4.168694-2-7.315424-1 4.319074-2-5.757671-1 4.467020-2-4.571674-1 4.648912-2-3.415262-1 4.774265-2-2.783390-1 4.912623-2-2.208682-1 5.011872-2-1.870709-1 5.127720-2-1.519186-1 5.262694-2-1.169416-1 5.402488-2-8.718291-2 5.528836-2-6.540095-2 5.642787-2-4.924860-2 5.790189-2-3.128192-2 5.949263-2-1.560164-2 6.082410-2-5.378263-3 6.165950-2-1.021454-4 6.213608-2 2.930065-3 6.228377-2 3.888311-3 6.362739-2 1.051743-2 6.545568-2 1.842337-2 6.678362-2 2.196539-2 6.845087-2 2.509090-2 6.995510-2 2.624783-2 7.188636-2 2.703294-2 7.498713-2 2.475782-2 7.710109-2 2.237788-2 8.252062-2 1.258782-2 8.451458-2 7.645313-3 8.595091-2 4.395546-3 8.755111-2 1.752779-4 8.781396-2-5.087134-4 8.797194-2-9.123525-4 9.065066-2-8.478675-3 9.210540-2-1.245222-2 1.028392-1-4.350566-2 1.197085-1-8.959823-2 1.380338-1-1.324702-1 1.584893-1-1.706995-1 1.878762-1-2.123500-1 2.294884-1-2.529446-1 2.944316-1-2.915338-1 3.925602-1-3.223007-1 5.726585-1-3.463890-1 1.003994+0-3.623518-1 3.121256+0-3.692215-1 9.760024+0-3.700677-1 1.000000+1-3.698873-1 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 7.981547+0 1.016251-6 9.346316+0 1.030376-6 1.076983+1 1.043618-6 1.235346+1 1.056033-6 1.410930+1 1.067672-6 1.604955+1 1.078583-6 1.818658+1 1.088812-6 2.053286+1 1.098402-6 2.310091+1 1.107393-6 2.590328+1 1.115822-6 2.895240+1 1.123724-6 3.226056+1 1.131132-6 3.583979+1 1.138077-6 3.970184+1 1.144588-6 4.385804+1 1.150692-6 4.831928+1 1.156415-6 5.309598+1 1.161780-6 5.819797+1 1.166809-6 6.363455+1 1.171525-6 6.941444+1 1.175945-6 7.554592+1 1.180089-6 8.203698+1 1.183975-6 8.889552+1 1.187617-6 9.612937+1 1.191032-6 1.037461+2 1.194233-6 1.117527+2 1.197234-6 1.201559+2 1.200048-6 1.289629+2 1.202686-6 1.381821+2 1.205159-6 1.478250+2 1.209796-6 1.691915+2 1.213853-6 1.926267+2 1.217403-6 2.183379+2 1.220509-6 2.464493+2 1.223227-6 2.768950+2 1.225606-6 3.093687+2 1.227687-6 3.433501+2 1.229507-6 3.781822+2 1.231101-6 4.131655+2 1.232495-6 4.476387+2 1.233715-6 4.810334+2 1.235849-6 5.473790+2 1.242636-6 8.331363+2 1.245311-6 9.774234+2 1.247604-6 1.112944+3 1.248369-6 1.160017+3 1.251426-6 1.353765+3 1.251809-6 1.378216+3 1.254484-6 1.546790+3 1.255535-6 1.610317+3 1.257542-6 1.723979+3 1.258593-6 1.778216+3 1.259596-6 1.825762+3 1.260599-6 1.868598+3 1.261937-6 1.917445+3 1.263227-6 1.954594+3 1.264421-6 1.979475+3 1.265855-6 1.996418+3 1.267097-6 1.999188+3 1.268435-6 1.989494+3 1.269772-6 1.966625+3 1.270322-6 1.953468+3 1.271576-6 1.915459+3 1.272926-6 1.862721+3 1.273894-6 1.817827+3 1.275140-6 1.752276+3 1.276554-6 1.668561+3 1.277035-6 1.638169+3 1.279178-6 1.493375+3 1.280444-6 1.403065+3 1.282003-6 1.289910+3 1.283620-6 1.173635+3 1.285825-6 1.023514+3 1.288118-6 8.865239+2 1.289647-6 8.107802+2 1.290531-6 7.739416+2 1.291457-6 7.414816+2 1.292845-6 7.056788+2 1.293648-6 6.926140+2 1.294375-6 6.859292+2 1.294809-6 6.843723+2 1.296127-6 6.912841+2 1.296743-6 7.007566+2 1.297339-6 7.138630+2 1.300349-6 8.425680+2 1.301065-6 8.893432+2 1.301870-6 9.495732+2 1.303082-6 1.055989+3 1.304497-6 1.204411+3 1.308652-6 1.793883+3 1.310256-6 2.081813+3 1.313666-6 2.795669+3 1.314042-6 2.882060+3 1.316875-6 3.572375+3 1.317909-6 3.838343+3 1.319884-6 4.358678+3 1.321514-6 4.793138+3 1.322303-6 5.002812+3 1.323494-6 5.315225+3 1.324723-6 5.629659+3 1.326302-6 6.016371+3 1.327706-6 6.337752+3 1.329258-6 6.661804+3 1.329712-6 6.749626+3 1.331593-6 7.074168+3 1.333061-6 7.279601+3 1.334742-6 7.457877+3 1.336198-6 7.560141+3 1.337160-6 7.600369+3 1.338644-6 7.619215+3 1.340117-6 7.586428+3 1.342549-6 7.424160+3 1.344077-6 7.258041+3 1.345558-6 7.054540+3 1.347187-6 6.787911+3 1.348767-6 6.493237+3 1.350171-6 6.206916+3 1.351525-6 5.913884+3 1.353581-6 5.447054+3 1.355185-6 5.072740+3 1.356991-6 4.650052+3 1.358395-6 4.325238+3 1.361604-6 3.614411+3 1.362707-6 3.384479+3 1.364813-6 2.970984+3 1.367621-6 2.477337+3 1.371580-6 1.899353+3 1.376406-6 1.371993+3 1.378762-6 1.176027+3 1.381091-6 1.015626+3 1.383384-6 8.852997+2 1.385640-6 7.794220+2 1.387862-6 6.931768+2 1.390049-6 6.225583+2 1.392201-6 5.643098+2 1.394320-6 5.158314+2 1.396406-6 4.750769+2 1.398459-6 4.404520+2 1.402502-6 3.845523+2 1.406418-6 3.418201+2 1.410211-6 3.080510+2 1.413886-6 2.806566+2 1.417447-6 2.579758+2 1.420896-6 2.388930+2 1.424237-6 2.226260+2 1.427474-6 2.086066+2 1.433745-6 1.853854+2 1.439624-6 1.673473+2 1.445136-6 1.529856+2 1.450304-6 1.413250+2 1.455148-6 1.317036+2 1.459690-6 1.236549+2 1.468205-6 1.106425+2 1.475657-6 1.010539+2 1.482176-6 9.376960+1 1.487881-6 8.810409+1 1.497865-6 7.950242+1 1.505352-6 7.395443+1 1.516583-6 6.678616+1 1.531575-6 5.890719+1 1.542857-6 5.398192+1 1.554138-6 4.974435+1 1.569181-6 4.494453+1 1.583953-6 4.097819+1 1.599548-6 3.742421+1 1.619041-6 3.370008+1 1.638535-6 3.060083+1 1.658028-6 2.800074+1 1.687373-6 2.478387+1 1.711229-6 2.262077+1 1.733593-6 2.089365+1 1.754560-6 1.948992+1 1.774216-6 1.833761+1 1.811072-6 1.649056+1 1.843321-6 1.513536+1 1.871539-6 1.411605+1 1.896229-6 1.333308+1 1.939438-6 1.214317+1 1.971844-6 1.137354+1 2.020453-6 1.037754+1 2.109805-6 8.879220+0 2.170917-6 8.038821+0 2.313907-6 6.280890+0 2.349654-6 5.809338+0 2.376465-6 5.409607+0 2.396573-6 5.059430+0 2.411654-6 4.747382+0 2.422965-6 4.468978+0 2.431448-6 4.225454+0 2.437810-6 4.019587+0 2.442582-6 3.851685+0 2.449739-6 3.580907+0 2.456897-6 3.297887+0 2.465968-6 2.959991+0 2.468991-6 2.865095+0 2.473527-6 2.753283+0 2.475039-6 2.726564+0 2.477909-6 2.693894+0 2.479421-6 2.687497+0 2.481086-6 2.690173+0 2.482598-6 2.702205+0 2.487133-6 2.800383+0 2.490085-6 2.920872+0 2.491831-6 3.015521+0 2.497170-6 3.422288+0 2.499267-6 3.633359+0 2.503653-6 4.171950+0 2.508050-6 4.843632+0 2.515474-6 6.252401+0 2.519356-6 7.101339+0 2.522943-6 7.933193+0 2.524986-6 8.420136+0 2.527226-6 8.959102+0 2.529465-6 9.498623+0 2.533239-6 1.039448+1 2.533779-6 1.051984+1 2.539880-6 1.185990+1 2.540643-6 1.201444+1 2.545981-6 1.298949+1 2.548619-6 1.339248+1 2.551136-6 1.372282+1 2.553654-6 1.399734+1 2.555166-6 1.413464+1 2.557812-6 1.432461+1 2.559796-6 1.442518+1 2.562772-6 1.450996+1 2.565749-6 1.451852+1 2.568068-6 1.447546+1 2.570387-6 1.439202+1 2.574963-6 1.412209+1 2.576488-6 1.400497+1 2.582590-6 1.343092+1 2.588691-6 1.274214+1 2.591154-6 1.244710+1 2.610908-6 1.018283+1 2.618169-6 9.515787+0 2.623273-6 9.114296+0 2.629456-6 8.697819+0 2.635639-6 8.348946+0 2.644651-6 7.938554+0 2.653382-6 7.624490+0 2.670297-6 7.165848+0 2.686156-6 6.842819+0 2.715890-6 6.382842+0 2.741907-6 6.070046+0 2.855733-6 5.042361+0 2.889881-6 4.720656+0 2.906955-6 4.520342+0 2.915492-6 4.406566+0 2.938423-6 4.091603+0 2.945620-6 4.013422+0 2.952817-6 3.961450+0 2.955963-6 3.949712+0 2.963186-6 3.953820+0 2.967468-6 3.979211+0 2.971750-6 4.023008+0 2.976013-6 4.085186+0 2.979211-6 4.143732+0 2.986405-6 4.309684+0 2.996547-6 4.605125+0 3.006520-6 4.924164+0 3.013742-6 5.142839+0 3.015983-6 5.205033+0 3.022703-6 5.368703+0 3.026823-6 5.448902+0 3.029913-6 5.497830+0 3.034548-6 5.552390+0 3.039183-6 5.584234+0 3.042632-6 5.593630+0 3.049854-6 5.577080+0 3.057077-6 5.519093+0 3.064299-6 5.430594+0 3.078744-6 5.205655+0 3.104341-6 4.808809+0 3.154438-6 4.242942+0 3.169966-6 4.102279+0 3.183384-6 4.009186+0 3.191162-6 3.974599+0 3.198940-6 3.957967+0 3.203343-6 3.957163+0 3.209947-6 3.967677+0 3.216552-6 3.991297+0 3.230052-6 4.069929+0 3.245608-6 4.174717+0 3.255373-6 4.224246+0 3.260710-6 4.240957+0 3.268715-6 4.249453+0 3.276720-6 4.237335+0 3.288556-6 4.185659+0 3.304745-6 4.073345+0 3.320934-6 3.954296+0 3.329028-6 3.904442+0 3.339443-6 3.855593+0 3.353311-6 3.818129+0 3.369500-6 3.802745+0 3.393783-6 3.787367+0 3.410152-6 3.759152+0 3.471043-6 3.607005+0 3.639159-6 3.283973+0 3.696352-6 3.163750+0 4.018880-6 2.477437+0 4.124257-6 2.287738+0 4.221958-6 2.116968+0 4.328106-6 1.937473+0 4.419791-6 1.787369+0 4.473103-6 1.702632+0 4.534829-6 1.606979+0 4.608000-6 1.496906+0 4.705261-6 1.356340+0 4.759134-6 1.281434+0 4.827808-6 1.188657+0 4.864422-6 1.140321+0 4.929166-6 1.056395+0 4.996836-6 9.703514-1 5.043506-6 9.124621-1 5.101305-6 8.426895-1 5.158222-6 7.759036-1 5.214198-6 7.124242-1 5.286925-6 6.331940-1 5.327859-6 5.902282-1 5.400258-6 5.172563-1 5.475951-6 4.446204-1 5.528167-6 3.969738-1 5.594653-6 3.395622-1 5.655971-6 2.897805-1 5.713195-6 2.465435-1 5.775261-6 2.034023-1 5.859634-6 1.504816-1 5.914533-6 1.198251-1 5.980209-6 8.760353-2 6.059894-6 5.502537-2 6.138619-6 2.997304-2 6.205812-6 1.456672-2 6.234534-6 9.841996-3 6.270000-6 5.672932-3 6.331243-6 2.888442-3 6.426441-6 9.091126-3 6.480785-6 1.876675-2 6.535371-6 3.344507-2 6.611677-6 5.796733-2 6.662628-6 6.715972-2 6.668254-6 6.739055-2 6.724286-6 6.106847-2 6.770118-6 4.875867-2 6.850000-6 2.686162-2 6.900323-6 1.617647-2 6.943832-6 9.418990-3 6.986629-6 5.109563-3 7.071586-6 3.340984-3 7.100000-6 4.875118-3 7.155216-6 1.122535-2 7.237539-6 2.915522-2 7.318576-6 5.712443-2 7.398347-6 9.544856-2 7.476871-6 1.444011-1 7.554168-6 2.044163-1 7.630258-6 2.760209-1 7.715369-6 3.714784-1 7.780059-6 4.554550-1 7.845000-6 5.505170-1 7.925179-6 6.833959-1 7.985000-6 7.948320-1 8.065764-6 9.637809-1 8.201956-6 1.297888+0 8.333892-6 1.685632+0 8.461705-6 2.130960+0 8.609938-6 2.743203+0 8.709928-6 3.222311+0 8.850000-6 3.991900+0 8.934243-6 4.514681+0 9.043295-6 5.271675+0 9.148939-6 6.097574+0 9.350426-6 7.954925+0 9.446472-6 9.000917+0 9.639189-6 1.143435+1 1.040242-5 2.764488+1 1.064721-5 3.633770+1 1.086659-5 4.645418+1 1.105145-5 5.727494+1 1.116844-5 6.551011+1 1.129304-5 7.570020+1 1.136372-5 8.228258+1 1.149624-5 9.650232+1 1.161449-5 1.116740+2 1.171756-5 1.273622+2 1.180244-5 1.424848+2 1.189082-5 1.609109+2 1.196705-5 1.796114+2 1.200757-5 1.909022+2 1.206734-5 2.097657+2 1.210515-5 2.234179+2 1.214499-5 2.396856+2 1.217986-5 2.559645+2 1.224087-5 2.909309+2 1.228663-5 3.248649+2 1.232094-5 3.561516+2 1.234668-5 3.834553+2 1.238047-5 4.245779+2 1.243155-5 4.970566+2 1.245448-5 5.322877+2 1.248506-5 5.795197+2 1.251564-5 6.239453+2 1.254622-5 6.615370+2 1.255387-5 6.693648+2 1.257680-5 6.880431+2 1.258445-5 6.924709+2 1.259591-5 6.972476+2 1.260738-5 6.996576+2 1.261503-5 6.998916+2 1.262649-5 6.981216+2 1.263796-5 6.937648+2 1.265325-5 6.839254+2 1.266854-5 6.695863+2 1.268383-5 6.509986+2 1.269912-5 6.285531+2 1.270294-5 6.223972+2 1.272636-5 5.807043+2 1.273352-5 5.668106+2 1.276219-5 5.080738+2 1.277205-5 4.873605+2 1.279468-5 4.404523+2 1.283697-5 3.623723+2 1.285202-5 3.395895+2 1.286540-5 3.221359+2 1.287830-5 3.080050+2 1.288260-5 3.039077+2 1.289789-5 2.918851+2 1.290936-5 2.855038+2 1.291700-5 2.825042+2 1.293707-5 2.793189+2 1.294376-5 2.797244+2 1.297434-5 2.902686+2 1.298198-5 2.949700+2 1.300492-5 3.134308+2 1.302021-5 3.289707+2 1.304043-5 3.528693+2 1.306945-5 3.925754+2 1.336779-5 9.684716+2 1.340508-5 1.069093+3 1.343771-5 1.167927+3 1.349493-5 1.372202+3 1.353764-5 1.557625+3 1.356976-5 1.721138+3 1.359385-5 1.860592+3 1.362999-5 2.103664+3 1.366613-5 2.399587+3 1.369976-5 2.739897+3 1.373340-5 3.166806+3 1.376704-5 3.714140+3 1.378555-5 4.083111+3 1.380068-5 4.428834+3 1.381749-5 4.867791+3 1.383431-5 5.373249+3 1.385113-5 5.955530+3 1.386795-5 6.625861+3 1.388477-5 7.396217+3 1.391630-5 9.153936+3 1.399536-5 1.582496+4 1.402038-5 1.872294+4 1.402896-5 1.980849+4 1.405472-5 2.333630+4 1.407677-5 2.665764+4 1.411125-5 3.229837+4 1.411629-5 3.315722+4 1.414573-5 3.825931+4 1.415758-5 4.032145+4 1.416889-5 4.227150+4 1.418572-5 4.510404+4 1.420056-5 4.749987+4 1.421645-5 4.991124+4 1.422861-5 5.162349+4 1.424599-5 5.382625+4 1.426205-5 5.556436+4 1.426833-5 5.615798+4 1.428172-5 5.724687+4 1.429510-5 5.808353+4 1.430949-5 5.868605+4 1.432520-5 5.897901+4 1.434104-5 5.888117+4 1.435825-5 5.832845+4 1.436707-5 5.786821+4 1.438427-5 5.664089+4 1.439943-5 5.521520+4 1.442305-5 5.242068+4 1.443956-5 5.010910+4 1.444898-5 4.868015+4 1.446500-5 4.609621+4 1.447726-5 4.401258+4 1.449478-5 4.092216+4 1.451309-5 3.761156+4 1.453094-5 3.436433+4 1.454918-5 3.108401+4 1.456378-5 2.852199+4 1.457886-5 2.595932+4 1.459395-5 2.350366+4 1.462843-5 1.837576+4 1.464586-5 1.606920+4 1.467162-5 1.303282+4 1.469094-5 1.104527+4 1.471047-5 9.279849+3 1.472636-5 8.015401+3 1.474420-5 6.767056+3 1.476548-5 5.495682+3 1.478717-5 4.419101+3 1.481393-5 3.355307+3 1.484960-5 2.312855+3 1.488527-5 1.610052+3 1.489792-5 1.427089+3 1.490741-5 1.309668+3 1.491453-5 1.232022+3 1.491986-5 1.179370+3 1.492787-5 1.108981+3 1.493702-5 1.040548+3 1.494367-5 9.985598+2 1.494777-5 9.757073+2 1.495548-5 9.390489+2 1.496236-5 9.128953+2 1.498581-5 8.676307+2 1.499171-5 8.662883+2 1.499945-5 8.702945+2 1.500704-5 8.803691+2 1.501364-5 8.939034+2 1.502136-5 9.151905+2 1.503376-5 9.610625+2 1.504485-5 1.013644+3 1.505006-5 1.041864+3 1.508417-5 1.276626+3 1.510199-5 1.428147+3 1.512775-5 1.671743+3 1.514293-5 1.824090+3 1.515826-5 1.980485+3 1.517114-5 2.111703+3 1.518493-5 2.249343+3 1.519980-5 2.391783+3 1.521512-5 2.529001+3 1.522893-5 2.641747+3 1.523360-5 2.677167+3 1.525155-5 2.798569+3 1.526631-5 2.879046+3 1.528102-5 2.940168+3 1.529588-5 2.981296+3 1.531134-5 3.001380+3 1.532589-5 2.998969+3 1.534074-5 2.975586+3 1.535488-5 2.934494+3 1.537166-5 2.863537+3 1.539059-5 2.757764+3 1.540514-5 2.660727+3 1.542111-5 2.541661+3 1.543832-5 2.402354+3 1.545360-5 2.272707+3 1.547326-5 2.103136+3 1.549188-5 1.945040+3 1.553186-5 1.639339+3 1.555129-5 1.518449+3 1.556632-5 1.441616+3 1.557412-5 1.408164+3 1.558050-5 1.384370+3 1.559006-5 1.354945+3 1.560130-5 1.330536+3 1.560962-5 1.319915+3 1.561707-5 1.316076+3 1.564630-5 1.356715+3 1.567186-5 1.472698+3 1.568131-5 1.536621+3 1.568590-5 1.572020+3 1.569389-5 1.640626+3 1.569989-5 1.698238+3 1.571340-5 1.847678+3 1.572414-5 1.986989+3 1.573659-5 2.172636+3 1.575260-5 2.451603+3 1.577577-5 2.941574+3 1.582872-5 4.488413+3 1.585403-5 5.455269+3 1.587746-5 6.484231+3 1.589254-5 7.213346+3 1.591301-5 8.280819+3 1.593282-5 9.390890+3 1.594464-5 1.008390+4 1.597061-5 1.166881+4 1.598924-5 1.283832+4 1.600459-5 1.380786+4 1.602143-5 1.486329+4 1.603959-5 1.597389+4 1.605484-5 1.687008+4 1.607131-5 1.778593+4 1.608115-5 1.830061+4 1.610100-5 1.925266+4 1.611890-5 1.999628+4 1.613038-5 2.040833+4 1.614844-5 2.094554+4 1.616290-5 2.127171+4 1.617536-5 2.147596+4 1.620254-5 2.166800+4 1.621570-5 2.163615+4 1.624435-5 2.129426+4 1.626354-5 2.086858+4 1.627478-5 2.055249+4 1.629321-5 1.993678+4 1.630073-5 1.965370+4 1.631524-5 1.906207+4 1.633119-5 1.835011+4 1.634786-5 1.754975+4 1.637107-5 1.636390+4 1.638873-5 1.542589+4 1.639836-5 1.490699+4 1.642004-5 1.373472+4 1.642727-5 1.334559+4 1.646546-5 1.134083+4 1.647320-5 1.095069+4 1.650242-5 9.543732+3 1.653525-5 8.109673+3 1.657717-5 6.530214+3 1.666276-5 4.167876+3 1.668492-5 3.723717+3 1.670330-5 3.400204+3 1.673301-5 2.955125+3 1.674300-5 2.825391+3 1.675798-5 2.648144+3 1.677296-5 2.490615+3 1.679502-5 2.292225+3 1.681707-5 2.130999+3 1.685816-5 1.920882+3 1.686843-5 1.885372+3 1.689925-5 1.816451+3 1.691338-5 1.802633+3 1.694034-5 1.804647+3 1.695176-5 1.815889+3 1.696538-5 1.836688+3 1.697456-5 1.854900+3 1.699693-5 1.912013+3 1.702006-5 1.986938+3 1.706862-5 2.178090+3 1.710875-5 2.346134+3 1.713769-5 2.458698+3 1.715093-5 2.505291+3 1.718688-5 2.610179+3 1.720100-5 2.641207+3 1.722797-5 2.682599+3 1.724560-5 2.696566+3 1.725566-5 2.699890+3 1.727327-5 2.697785+3 1.728648-5 2.689856+3 1.731620-5 2.653916+3 1.734806-5 2.592072+3 1.738309-5 2.504563+3 1.749321-5 2.201237+3 1.752583-5 2.126749+3 1.756927-5 2.047283+3 1.760524-5 1.998614+3 1.762702-5 1.975972+3 1.764926-5 1.957421+3 1.770486-5 1.926458+3 1.774386-5 1.913264+3 1.793087-5 1.867784+3 1.804452-5 1.829168+3 1.812242-5 1.793428+3 1.819123-5 1.752479+3 1.824553-5 1.712675+3 1.830418-5 1.662173+3 1.836672-5 1.601045+3 1.844354-5 1.519751+3 1.861907-5 1.339975+3 1.867685-5 1.289564+3 1.872271-5 1.253494+3 1.879459-5 1.203637+3 1.884680-5 1.171913+3 1.898626-5 1.101090+3 1.910633-5 1.051080+3 1.923509-5 1.004737+3 1.934035-5 9.711025+2 1.946632-5 9.348657+2 1.967755-5 8.816224+2 1.992417-5 8.284265+2 2.012590-5 7.905873+2 2.035895-5 7.521250+2 2.068677-5 7.053003+2 2.111177-5 6.547265+2 2.150000-5 6.158810+2 2.188374-5 5.827115+2 2.221811-5 5.574175+2 2.252379-5 5.369457+2 2.300844-5 5.080346+2 2.351526-5 4.818388+2 2.426072-5 4.496050+2 2.483850-5 4.282861+2 2.583172-5 3.974519+2 2.697259-5 3.690698+2 2.810470-5 3.453908+2 2.919106-5 3.293067+2 2.989173-5 3.187350+2 3.185114-5 2.948848+2 3.373245-5 2.766594+2 3.556644-5 2.616688+2 3.767354-5 2.471880+2 4.167205-5 2.251246+2 4.550578-5 2.102463+2 4.830440-5 1.995940+2 4.976291-5 1.940101+2 5.128614-5 1.881150+2 5.290801-5 1.817686+2 5.471734-5 1.745522+2 5.692624-5 1.655058+2 5.837690-5 1.593781+2 6.033323-5 1.508057+2 6.309573-5 1.379945+2 6.555431-5 1.257061+2 6.778855-5 1.136151+2 6.983875-5 1.015683+2 7.133388-5 9.208540+1 7.267705-5 8.296622+1 7.395031-5 7.373581+1 7.481799-5 6.707771+1 7.571017-5 5.988931+1 7.651959-5 5.303219+1 7.723554-5 4.647549+1 7.756990-5 4.311644+1 7.793912-5 3.910986+1 7.838982-5 3.380168+1 7.868652-5 3.014381+1 7.886123-5 2.798678+1 7.914134-5 2.463330+1 7.963766-5 1.948714+1 7.984810-5 1.776742+1 7.999074-5 1.677648+1 8.008460-5 1.619850+1 8.024976-5 1.531077+1 8.041409-5 1.456578+1 8.064382-5 1.368938+1 8.119714-5 1.194927+1 8.142760-5 1.134902+1 8.153975-5 1.111203+1 8.165395-5 1.092584+1 8.173816-5 1.083293+1 8.186627-5 1.077872+1 8.196622-5 1.082065+1 8.208064-5 1.097087+1 8.219896-5 1.125117+1 8.223134-5 1.135117+1 8.232649-5 1.170469+1 8.242447-5 1.216364+1 8.251688-5 1.268575+1 8.261822-5 1.335814+1 8.274363-5 1.433370+1 8.288246-5 1.559641+1 8.308569-5 1.778686+1 8.334545-5 2.118793+1 8.377061-5 2.840018+1 8.415644-5 3.724762+1 8.450538-5 4.788439+1 8.476472-5 5.795724+1 8.505847-5 7.226097+1 8.538539-5 9.278796+1 8.605000-5 1.545552+2 8.627497-5 1.826888+2 8.650000-5 2.146520+2 8.667559-5 2.421271+2 8.681498-5 2.653891+2 8.698000-5 2.943995+2 8.711222-5 3.186309+2 8.724445-5 3.435754+2 8.741239-5 3.760260+2 8.758700-5 4.103244+2 8.772657-5 4.378861+2 8.782643-5 4.575628+2 8.802528-5 4.963432+2 8.812427-5 5.153252+2 8.829589-5 5.475192+2 8.844666-5 5.748892+2 8.861654-5 6.045250+2 8.880813-5 6.362466+2 8.901440-5 6.682242+2 8.913133-5 6.853086+2 8.934344-5 7.143440+2 8.948253-5 7.320143+2 8.977013-5 7.651603+2 9.006578-5 7.945961+2 9.021287-5 8.075441+2 9.044131-5 8.254885+2 9.077004-5 8.468375+2 9.110680-5 8.634970+2 9.147946-5 8.762487+2 9.173104-5 8.818278+2 9.201460-5 8.855933+2 9.258700-5 8.869145+2 9.321542-5 8.824375+2 9.440609-5 8.673140+2 9.527472-5 8.519370+2 9.591332-5 8.375231+2 9.830400-5 7.755827+2 9.942765-5 7.526279+2 1.011579-4 7.252905+2 1.069004-4 6.511741+2 1.110402-4 6.001458+2 1.228800-4 4.787468+2 1.317350-4 4.131392+2 1.444375-4 3.430989+2 1.553301-4 2.965778+2 1.585000-4 2.836892+2 1.601199-4 2.749905+2 1.617159-4 2.652000+2 1.621046-4 2.634808+2 1.625707-4 2.621808+2 1.631721-4 2.619939+2 1.637279-4 2.634023+2 1.641770-4 2.655574+2 1.646167-4 2.683775+2 1.663802-4 2.822822+2 1.668830-4 2.856544+2 1.675430-4 2.889183+2 1.681945-4 2.906165+2 1.690409-4 2.906346+2 1.701795-4 2.878780+2 1.750720-4 2.712008+2 1.763080-4 2.684457+2 1.771657-4 2.676766+2 1.782883-4 2.682681+2 1.809972-4 2.730238+2 1.824704-4 2.743145+2 1.837583-4 2.739639+2 1.864479-4 2.712347+2 1.933081-4 2.665582+2 2.234983-4 2.505076+2 2.261827-4 2.481249+2 2.270244-4 2.480035+2 2.279158-4 2.485354+2 2.291332-4 2.504083+2 2.316130-4 2.561892+2 2.330343-4 2.587743+2 2.352159-4 2.606960+2 2.430000-4 2.643603+2 3.072000-4 2.967024+2 3.394871-4 3.101811+2 3.550688-4 3.155360+2 3.733350-4 3.205628+2 3.981072-4 3.248159+2 4.221519-4 3.260921+2 4.518326-4 3.241514+2 4.807925-4 3.180284+2 5.079788-4 3.080661+2 5.314015-4 2.958092+2 5.528644-4 2.813103+2 5.701327-4 2.672242+2 5.881076-4 2.497569+2 6.037287-4 2.320974+2 6.175411-4 2.143535+2 6.296808-4 1.967809+2 6.408892-4 1.787596+2 6.496398-4 1.634223+2 6.564312-4 1.506762+2 6.604714-4 1.426893+2 6.661428-4 1.308565+2 6.725990-4 1.165654+2 6.782481-4 1.035789+2 6.831911-4 9.190282+1 6.889550-4 7.795873+1 6.926314-4 6.897577+1 6.953888-4 6.227748+1 6.986633-4 5.449796+1 6.998666-4 5.172723+1 7.015928-4 4.788237+1 7.056260-4 3.988704+1 7.067775-4 3.801022+1 7.082701-4 3.599654+1 7.094028-4 3.487996+1 7.104395-4 3.425938+1 7.113745-4 3.410732+1 7.120942-4 3.430617+1 7.128164-4 3.482893+1 7.134759-4 3.563017+1 7.140652-4 3.664191+1 7.145159-4 3.762452+1 7.150851-4 3.914973+1 7.156367-4 4.095892+1 7.161713-4 4.305261+1 7.166895-4 4.542932+1 7.172533-4 4.843697+1 7.177976-4 5.179042+1 7.181695-4 5.435269+1 7.185991-4 5.760375+1 7.194674-4 6.519051+1 7.200140-4 7.071293+1 7.211795-4 8.458442+1 7.239339-4 1.300586+2 7.251078-4 1.553360+2 7.257238-4 1.700614+2 7.263797-4 1.868440+2 7.270105-4 2.040447+2 7.276479-4 2.224641+2 7.283253-4 2.431515+2 7.290119-4 2.652420+2 7.298198-4 2.926035+2 7.305605-4 3.189061+2 7.314680-4 3.525807+2 7.320812-4 3.761474+2 7.331146-4 4.171696+2 7.342498-4 4.638079+2 7.350868-4 4.990400+2 7.361120-4 5.429271+2 7.369880-4 5.808923+2 7.378723-4 6.194828+2 7.390356-4 6.704277+2 7.399400-4 7.099951+2 7.416175-4 7.828154+2 7.430260-4 8.428889+2 7.440895-4 8.872670+2 7.452704-4 9.352556+2 7.468378-4 9.962763+2 7.484852-4 1.056277+3 7.496509-4 1.095632+3 7.511438-4 1.141672+3 7.528614-4 1.187852+3 7.540000-4 1.214138+3 7.551563-4 1.237157+3 7.561789-4 1.254405+3 7.570532-4 1.266858+3 7.586024-4 1.283906+3 7.595538-4 1.291360+3 7.608000-4 1.297930+3 7.622438-4 1.301464+3 7.645200-4 1.299630+3 7.673615-4 1.288021+3 7.719746-4 1.257480+3 7.798089-4 1.201705+3 7.836178-4 1.179583+3 7.871178-4 1.163180+3 7.933484-4 1.142378+3 8.023678-4 1.125250+3 8.125000-4 1.114945+3 8.228750-4 1.109029+3 8.350000-4 1.106935+3 8.526511-4 1.111269+3 8.733822-4 1.118858+3 8.903723-4 1.122012+3 9.115126-4 1.122065+3 9.273969-4 1.117391+3 9.399016-4 1.108797+3 9.525716-4 1.091615+3 9.641115-4 1.068187+3 9.677832-4 1.063632+3 9.715557-4 1.064680+3 9.744597-4 1.071342+3 9.773477-4 1.084066+3 9.800028-4 1.101250+3 9.838683-4 1.134173+3 9.914803-4 1.208399+3 9.942599-4 1.231617+3 9.965565-4 1.247359+3 9.995256-4 1.262553+3 1.001206-3 1.268635+3 1.004146-3 1.275462+3 1.008805-3 1.278993+3 1.032811-3 1.269940+3 1.040140-3 1.273227+3 1.044902-3 1.281006+3 1.051487-3 1.299307+3 1.061362-3 1.330652+3 1.064347-3 1.338303+3 1.078068-3 1.362314+3 1.097440-3 1.388340+3 1.114930-3 1.406522+3 1.131274-3 1.418518+3 1.150378-3 1.427206+3 1.175563-3 1.431043+3 1.184021-3 1.434632+3 1.191770-3 1.441894+3 1.225437-3 1.495006+3 1.238401-3 1.508756+3 1.256058-3 1.521981+3 1.303401-3 1.545044+3 1.338986-3 1.556894+3 1.371409-3 1.563420+3 1.456171-3 1.569968+3 1.571267-3 1.568940+3 1.694091-3 1.558770+3 1.787581-3 1.542652+3 1.929606-3 1.513052+3 2.091319-3 1.474814+3 2.323688-3 1.417107+3 2.613098-3 1.338913+3 2.862839-3 1.271087+3 2.973271-3 1.241643+3 3.250312-3 1.167869+3 3.406184-3 1.126569+3 3.561815-3 1.086105+3 3.732930-3 1.041112+3 3.876044-3 1.003527+3 4.020053-3 9.647411+2 4.151352-3 9.287147+2 4.256010-3 8.988750+2 4.354089-3 8.696097+2 4.443856-3 8.414152+2 4.527099-3 8.135841+2 4.588028-3 7.916318+2 4.655526-3 7.650066+2 4.707171-3 7.424107+2 4.756496-3 7.182217+2 4.795347-3 6.964975+2 4.827143-3 6.759900+2 4.854838-3 6.551716+2 4.885168-3 6.283848+2 4.921523-3 5.921849+2 4.946233-3 5.691132+2 4.963113-3 5.568562+2 4.974806-3 5.509995+2 4.984854-3 5.480424+2 4.993915-3 5.471505+2 5.007027-3 5.488834+2 5.019420-3 5.536306+2 5.036854-3 5.645853+2 5.060875-3 5.849201+2 5.084502-3 6.065613+2 5.100544-3 6.202569+2 5.117702-3 6.330759+2 5.128987-3 6.402838+2 5.145359-3 6.489509+2 5.170000-3 6.581940+2 5.194386-3 6.633570+2 5.218237-3 6.651592+2 5.240211-3 6.645145+2 5.301051-3 6.583171+2 5.326890-3 6.587322+2 5.351763-3 6.636295+2 5.376445-3 6.732619+2 5.421163-3 6.987400+2 5.461686-3 7.222578+2 5.481677-3 7.318214+2 5.503817-3 7.403309+2 5.528514-3 7.472743+2 5.555550-3 7.522014+2 5.645812-3 7.612048+2 5.682703-3 7.696204+2 5.717964-3 7.823009+2 5.788234-3 8.118937+2 5.815789-3 8.217471+2 5.844039-3 8.301395+2 5.875950-3 8.377645+2 5.918171-3 8.455906+2 5.969838-3 8.528596+2 6.090157-3 8.641284+2 6.197107-3 8.700526+2 6.328685-3 8.737141+2 6.540638-3 8.735557+2 6.794970-3 8.664692+2 7.049550-3 8.552563+2 7.325691-3 8.398461+2 7.671027-3 8.176673+2 8.050447-3 7.911596+2 8.647687-3 7.484169+2 9.319434-3 7.015318+2 1.026771-2 6.400887+2 1.140849-2 5.745625+2 1.294988-2 5.005667+2 1.446989-2 4.409142+2 1.631467-2 3.817536+2 1.778944-2 3.421742+2 1.930995-2 3.068310+2 2.088474-2 2.750549+2 2.261785-2 2.447382+2 2.451179-2 2.162282+2 2.658811-2 1.894952+2 2.857445-2 1.674764+2 3.018255-2 1.516383+2 3.148396-2 1.397658+2 3.242659-2 1.314653+2 3.322051-2 1.244336+2 3.383293-2 1.187682+2 3.432116-2 1.138609+2 3.468343-2 1.097156+2 3.485212-2 1.075064+2 3.498926-2 1.055173+2 3.523964-2 1.013809+2 3.561153-2 9.492727+1 3.576401-2 9.299408+1 3.587601-2 9.214255+1 3.600726-2 9.187047+1 3.610332-2 9.216557+1 3.621861-2 9.299625+1 3.638857-2 9.487473+1 3.670530-2 9.884975+1 3.691646-2 1.009551+2 3.713677-2 1.024819+2 3.728749-2 1.031984+2 3.764343-2 1.041844+2 3.804631-2 1.045877+2 3.859716-2 1.044969+2 3.916507-2 1.039469+2 4.026437-2 1.021445+2 4.140461-2 9.969965+1 4.315191-2 9.544204+1 4.562737-2 8.923604+1 4.840028-2 8.260158+1 5.191232-2 7.487897+1 5.583095-2 6.721807+1 6.129885-2 5.805301+1 6.879837-2 4.801448+1 7.827100-2 3.849813+1 9.992538-2 2.501048+1 1.183519-1 1.844923+1 1.553840-1 1.118851+1 1.981605-1 7.114704+0 2.441926-1 4.786176+0 3.281283-1 2.707142+0 4.897788-1 1.239347+0 7.635748-1 5.169934-1 1.347258+0 1.675473-1 3.575459+0 2.388904-2 1.120601+1 2.433548-3 3.384160+1 2.668507-4 1.022000+2 2.925981-5 3.086391+2 3.208277-6 9.320751+2 3.517806-7 3.162278+3 3.056143-8 1.000000+4 3.056143-9 3.162278+4 3.05614-10 1.000000+5 3.05614-11 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.260200-6 1.258900-6 3.582200-6 1.584900-6 5.677400-6 1.995300-6 8.998100-6 2.511900-6 1.426100-5 3.162300-6 2.260200-5 3.981100-6 3.582200-5 5.011900-6 5.677300-5 6.309600-6 8.997900-5 7.943300-6 1.426100-4 1.000000-5 2.260100-4 1.258900-5 3.582000-4 1.584900-5 5.673800-4 1.995300-5 8.985800-4 2.511900-5 1.423300-3 3.162300-5 2.254700-3 3.981100-5 3.572300-3 5.011900-5 5.659200-3 6.309600-5 8.964300-3 7.943300-5 1.417300-2 1.000000-4 2.238900-2 1.258900-4 3.535400-2 1.584900-4 5.567800-2 1.995300-4 8.732700-2 2.511900-4 1.361700-1 3.162300-4 2.104600-1 3.981100-4 3.191600-1 5.011900-4 4.724700-1 6.309600-4 6.805100-1 7.943300-4 9.514900-1 1.000000-3 1.299700+0 1.258900-3 1.749100+0 1.584900-3 2.335500+0 1.995300-3 3.086000+0 2.511900-3 4.020700+0 3.162300-3 5.154600+0 3.981100-3 6.483900+0 5.011900-3 7.954200+0 6.309600-3 9.520300+0 7.943300-3 1.122100+1 1.000000-2 1.308300+1 1.258900-2 1.507900+1 1.584900-2 1.707700+1 1.995300-2 1.893800+1 2.511900-2 2.060500+1 3.162300-2 2.204200+1 3.981100-2 2.318600+1 5.011900-2 2.400400+1 6.309600-2 2.444900+1 7.943300-2 2.447600+1 1.000000-1 2.412500+1 1.258900-1 2.341000+1 1.584900-1 2.245900+1 1.995300-1 2.128400+1 2.511900-1 1.996200+1 3.162300-1 1.855300+1 3.981100-1 1.710300+1 5.011900-1 1.565700+1 6.309600-1 1.423900+1 7.943300-1 1.286300+1 1.000000+0 1.155200+1 1.258900+0 1.030400+1 1.584900+0 9.133900+0 1.995300+0 8.043800+0 2.511900+0 7.038300+0 3.162300+0 6.120500+0 3.981100+0 5.290700+0 5.011900+0 4.547900+0 6.309600+0 3.889100+0 7.943300+0 3.309600+0 1.000000+1 2.804000+0 1.258900+1 2.366000+0 1.584900+1 1.989200+0 1.995300+1 1.666800+0 2.511900+1 1.392500+0 3.162300+1 1.160200+0 3.981100+1 9.643000-1 5.011900+1 7.997000-1 6.309600+1 6.618600-1 7.943300+1 5.467900-1 1.000000+2 4.509700-1 1.258900+2 3.713800-1 1.584900+2 3.054200-1 1.995300+2 2.508500-1 2.511900+2 2.057900-1 3.162300+2 1.686400-1 3.981100+2 1.380600-1 5.011900+2 1.129200-1 6.309600+2 9.227300-2 7.943300+2 7.534200-2 1.000000+3 6.147000-2 1.258900+3 5.011600-2 1.584900+3 4.083100-2 1.995300+3 3.324500-2 2.511900+3 2.705200-2 3.162300+3 2.200000-2 3.981100+3 1.788100-2 5.011900+3 1.452600-2 6.309600+3 1.179500-2 7.943300+3 9.572400-3 1.000000+4 7.765200-3 1.258900+4 6.296400-3 1.584900+4 5.103300-3 1.995300+4 4.134700-3 2.511900+4 3.348600-3 3.162300+4 2.710900-3 3.981100+4 2.193900-3 5.011900+4 1.774900-3 6.309600+4 1.435400-3 7.943300+4 1.160500-3 1.000000+5 9.379200-4 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997264-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994176-4 2.511886-4 2.510168-4 3.162278-4 3.159557-4 3.981072-4 3.976799-4 5.011872-4 5.005151-4 6.309573-4 6.299046-4 7.943282-4 7.926827-4 1.000000-3 9.974304-4 1.258925-3 1.254889-3 1.584893-3 1.578554-3 1.995262-3 1.985290-3 2.511886-3 2.496225-3 3.162278-3 3.137694-3 3.981072-3 3.942702-3 5.011872-3 4.952156-3 6.309573-3 6.216772-3 7.943282-3 7.799229-3 1.000000-2 9.775703-3 1.258925-2 1.224027-2 1.584893-2 1.530855-2 1.995262-2 1.912093-2 2.511886-2 2.384477-2 3.162278-2 2.967809-2 3.981072-2 3.685689-2 5.011872-2 4.565608-2 6.309573-2 5.640688-2 7.943282-2 6.948691-2 1.000000-1 8.532317-2 1.258925-1 1.045047-1 1.584893-1 1.274325-1 1.995262-1 1.549508-1 2.511886-1 1.877864-1 3.162278-1 2.268383-1 3.981072-1 2.731322-1 5.011872-1 3.278563-1 6.309573-1 3.924069-1 7.943282-1 4.684537-1 1.000000+0 5.577971-1 1.258925+0 6.631884-1 1.584893+0 7.874634-1 1.995262+0 9.345606-1 2.511886+0 1.109091+0 3.162278+0 1.316820+0 3.981072+0 1.564754+0 5.011872+0 1.861629+0 6.309573+0 2.217778+0 7.943282+0 2.646276+0 1.000000+1 3.162902+0 1.258925+1 3.786935+0 1.584893+1 4.542087+0 1.995262+1 5.457304+0 2.511886+1 6.567898+0 3.162278+1 7.917953+0 3.981072+1 9.560641+0 5.011872+1 1.156132+1 6.309573+1 1.400094+1 7.943282+1 1.697859+1 1.000000+2 2.061589+1 1.258925+2 2.506323+1 1.584893+2 3.050480+1 1.995262+2 3.716838+1 2.511886+2 4.533333+1 3.162278+2 5.534592+1 3.981072+2 6.763032+1 5.011872+2 8.271361+1 6.309573+2 1.012429+2 7.943282+2 1.240192+2 1.000000+3 1.520278+2 1.258925+3 1.864919+2 1.584893+3 2.289154+2 1.995262+3 2.811790+2 2.511886+3 3.455616+2 3.162278+3 4.249387+2 3.981072+3 5.228225+2 5.011872+3 6.435822+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88183-10 1.995262-5 1.090595-9 2.511886-5 1.728449-9 3.162278-5 2.739453-9 3.981072-5 4.341814-9 5.011872-5 6.880970-9 6.309573-5 1.090480-8 7.943282-5 1.727322-8 1.000000-4 2.736381-8 1.258925-4 4.335536-8 1.584893-4 6.865227-8 1.995262-4 1.086450-7 2.511886-4 1.718152-7 3.162278-4 2.720195-7 3.981072-4 4.273020-7 5.011872-4 6.721408-7 6.309573-4 1.052748-6 7.943282-4 1.645549-6 1.000000-3 2.569605-6 1.258925-3 4.036751-6 1.584893-3 6.339062-6 1.995262-3 9.971830-6 2.511886-3 1.566133-5 3.162278-3 2.458410-5 3.981072-3 3.836984-5 5.011872-3 5.971616-5 6.309573-3 9.280180-5 7.943282-3 1.440536-4 1.000000-2 2.242968-4 1.258925-2 3.489888-4 1.584893-2 5.403830-4 1.995262-2 8.316925-4 2.511886-2 1.274097-3 3.162278-2 1.944682-3 3.981072-2 2.953828-3 5.011872-2 4.462641-3 6.309573-2 6.688854-3 7.943282-2 9.945912-3 1.000000-1 1.467683-2 1.258925-1 2.138783-2 1.584893-1 3.105677-2 1.995262-1 4.457543-2 2.511886-1 6.340222-2 3.162278-1 8.938949-2 3.981072-1 1.249750-1 5.011872-1 1.733309-1 6.309573-1 2.385504-1 7.943282-1 3.258745-1 1.000000+0 4.422029-1 1.258925+0 5.957370-1 1.584893+0 7.974298-1 1.995262+0 1.060702+0 2.511886+0 1.402796+0 3.162278+0 1.845457+0 3.981072+0 2.416318+0 5.011872+0 3.150243+0 6.309573+0 4.091796+0 7.943282+0 5.297007+0 1.000000+1 6.837098+0 1.258925+1 8.802319+0 1.584893+1 1.130685+1 1.995262+1 1.449532+1 2.511886+1 1.855097+1 3.162278+1 2.370482+1 3.981072+1 3.025008+1 5.011872+1 3.855741+1 6.309573+1 4.909479+1 7.943282+1 6.245423+1 1.000000+2 7.938411+1 1.258925+2 1.008293+2 1.584893+2 1.279845+2 1.995262+2 1.623579+2 2.511886+2 2.058553+2 3.162278+2 2.608818+2 3.981072+2 3.304769+2 5.011872+2 4.184736+2 6.309573+2 5.297144+2 7.943282+2 6.703090+2 1.000000+3 8.479722+2 1.258925+3 1.072434+3 1.584893+3 1.355978+3 1.995262+3 1.714083+3 2.511886+3 2.166325+3 3.162278+3 2.737339+3 3.981072+3 3.458249+3 5.011872+3 4.368290+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 3.690000-6 5.018380+5 3.715352-6 4.855844+5 3.770000-6 4.505120+5 3.960000-6 3.436640+5 4.216965-6 2.411339+5 4.500000-6 1.657030+5 4.786301-6 1.151209+5 5.128614-6 7.605130+4 5.623413-6 4.363679+4 5.888437-6 3.324107+4 6.100000-6 2.715790+4 6.270000-6 2.334090+4 6.420000-6 2.060250+4 6.550000-6 1.862350+4 6.700000-6 1.671960+4 6.850000-6 1.515590+4 7.000000-6 1.387420+4 7.100000-6 1.315250+4 7.244360-6 1.226986+4 7.350000-6 1.172720+4 7.500000-6 1.108390+4 7.650000-6 1.056720+4 7.770000-6 1.023060+4 7.920000-6 9.890480+3 8.050000-6 9.657280+3 8.222426-6 9.421154+3 8.420000-6 9.234020+3 8.609938-6 9.120532+3 8.850000-6 9.048370+3 9.120108-6 9.037150+3 9.440609-6 9.089134+3 9.885531-6 9.229816+3 1.161449-5 9.902890+3 1.258925-5 1.018705+4 1.364583-5 1.040369+4 1.496236-5 1.057317+4 1.640590-5 1.066261+4 1.643000-5 1.066273+4 1.643000-5 5.435626+7 1.680000-5 4.666306+7 1.710000-5 4.156947+7 1.750000-5 3.603251+7 1.780000-5 3.259939+7 1.819701-5 2.880093+7 1.827000-5 2.816067+7 1.827000-5 5.365787+7 1.830000-5 5.309676+7 1.850000-5 4.960196+7 1.870000-5 4.647308+7 1.883649-5 4.451256+7 1.920000-5 3.988791+7 1.927525-5 3.902685+7 1.950000-5 3.663966+7 1.995262-5 3.243931+7 2.041738-5 2.888998+7 2.070000-5 2.700293+7 2.090000-5 2.578412+7 2.150000-5 2.257450+7 2.213095-5 1.982004+7 2.238721-5 1.884031+7 2.290868-5 1.705782+7 2.350000-5 1.531239+7 2.371374-5 1.474712+7 2.470000-5 1.248619+7 2.483133-5 1.222292+7 2.583000-5 1.046224+7 2.600160-5 1.019659+7 2.650000-5 9.471690+6 2.730000-5 8.454457+6 2.851018-5 7.180588+6 2.917427-5 6.592286+6 3.090295-5 5.337388+6 3.097000-5 5.295664+6 3.097000-5 5.327657+6 3.126079-5 5.152104+6 3.162278-5 4.944140+6 3.170000-5 4.901579+6 3.210000-5 4.688850+6 3.235937-5 4.557471+6 3.250000-5 4.488261+6 3.311311-5 4.202532+6 3.400000-5 3.830945+6 3.548134-5 3.309438+6 3.650000-5 3.007772+6 3.715352-5 2.833906+6 3.730000-5 2.797423+6 3.830000-5 2.564901+6 3.845918-5 2.530373+6 3.920000-5 2.378163+6 4.000000-5 2.227870+6 4.027170-5 2.179812+6 4.110000-5 2.044715+6 4.168694-5 1.955998+6 4.220000-5 1.883523+6 4.265795-5 1.821904+6 4.315191-5 1.758769+6 4.330000-5 1.740858+6 4.450000-5 1.604790+6 4.570882-5 1.482932+6 4.677351-5 1.388496+6 4.720000-5 1.353665+6 4.731513-5 1.344437+6 4.800000-5 1.291527+6 4.850000-5 1.255777+6 5.011872-5 1.149580+6 5.069907-5 1.115564+6 5.188000-5 1.052047+6 5.248075-5 1.021697+6 5.400000-5 9.530647+5 5.432503-5 9.392417+5 5.500000-5 9.120015+5 5.559043-5 8.899635+5 5.623413-5 8.669578+5 5.754399-5 8.226886+5 5.888437-5 7.832939+5 6.025596-5 7.458503+5 6.095369-5 7.285938+5 6.165950-5 7.121697+5 6.309573-5 6.803098+5 6.400000-5 6.621937+5 6.500000-5 6.435458+5 6.606934-5 6.243371+5 6.760830-5 5.993750+5 6.900000-5 5.787853+5 6.918310-5 5.761297+5 7.079458-5 5.545180+5 7.300000-5 5.278374+5 7.328245-5 5.247217+5 7.413102-5 5.153961+5 7.673615-5 4.891809+5 7.800000-5 4.778268+5 7.943282-5 4.655897+5 8.150000-5 4.489448+5 8.222426-5 4.436022+5 8.317638-5 4.369303+5 8.324000-5 4.364805+5 8.324000-5 2.833702+6 8.433300-5 4.937835+6 8.440000-5 5.046282+6 8.511380-5 5.895023+6 8.561000-5 6.571249+6 8.561000-5 7.704721+6 8.565000-5 7.804411+6 8.579000-5 8.185238+6 8.590000-5 8.514401+6 8.605000-5 9.014218+6 8.609938-5 9.194942+6 8.620000-5 9.584139+6 8.635000-5 1.024228+7 8.646000-5 1.079199+7 8.650000-5 1.101133+7 8.661000-5 1.165862+7 8.676000-5 1.269323+7 8.687000-5 1.358604+7 8.702000-5 1.504181+7 8.706000-5 1.556476+7 8.732000-5 1.773126+7 8.762000-5 2.027253+7 8.766000-5 2.067291+7 8.873000-5 2.583244+7 8.912509-5 2.616253+7 8.998000-5 2.689045+7 9.100000-5 2.617162+7 9.120108-5 2.581471+7 9.145000-5 2.538118+7 9.160000-5 2.496849+7 9.225714-5 2.341754+7 9.300000-5 2.183847+7 9.335000-5 2.113478+7 9.420000-5 1.973933+7 9.500000-5 1.834000+7 9.549926-5 1.739843+7 9.660509-5 1.550481+7 9.720000-5 1.461124+7 9.760000-5 1.408857+7 9.800000-5 1.363985+7 9.850000-5 1.310191+7 1.000000-4 1.168102+7 1.011579-4 1.071631+7 1.023293-4 9.818203+6 1.035142-4 8.997099+6 1.040000-4 8.677184+6 1.059254-4 7.514814+6 1.060000-4 7.473563+6 1.061300-4 7.401012+6 1.090000-4 5.969636+6 1.096478-4 5.689000+6 1.109175-4 5.178440+6 1.122018-4 4.715609+6 1.135011-4 4.296122+6 1.161449-4 3.569485+6 1.194100-4 2.864693+6 1.205000-4 2.667696+6 1.216186-4 2.483870+6 1.220000-4 2.424737+6 1.244515-4 2.085534+6 1.260000-4 1.901404+6 1.273503-4 1.758882+6 1.280000-4 1.695151+6 1.303167-4 1.492271+6 1.318257-4 1.378701+6 1.326900-4 1.318745+6 1.333521-4 1.275705+6 1.358000-4 1.134760+6 1.364583-4 1.101327+6 1.380384-4 1.027623+6 1.390000-4 9.873145+5 1.400000-4 9.485168+5 1.415000-4 8.958671+5 1.435000-4 8.357776+5 1.450000-4 7.972470+5 1.465000-4 7.637281+5 1.482800-4 7.298812+5 1.485000-4 7.261264+5 1.500000-4 7.023975+5 1.515000-4 6.823700+5 1.531087-4 6.644730+5 1.548817-4 6.486206+5 1.566751-4 6.361706+5 1.584893-4 6.268627+5 1.585000-4 6.268184+5 1.603245-4 6.205220+5 1.606600-4 6.195819+5 1.621810-4 6.166445+5 1.627000-4 6.159590+5 1.643000-4 6.150624+5 1.650000-4 6.150350+5 1.660000-4 6.157341+5 1.677600-4 6.177582+5 1.677600-4 1.044850+6 1.678804-4 1.044040+6 1.680000-4 1.043311+6 1.705000-4 1.029888+6 1.730000-4 1.020025+6 1.737801-4 1.017487+6 1.740000-4 1.016789+6 1.744000-4 1.015702+6 1.757924-4 1.014754+6 1.760000-4 1.014635+6 1.762000-4 1.014593+6 1.780000-4 1.016176+6 1.785000-4 1.016798+6 1.800000-4 1.020040+6 1.816100-4 1.024215+6 1.819700-4 1.025444+6 1.819700-4 1.166733+6 1.835000-4 1.168896+6 1.850000-4 1.171741+6 1.862087-4 1.174914+6 1.890000-4 1.183039+6 1.910000-4 1.190243+6 1.930000-4 1.198268+6 1.940000-4 1.202077+6 1.950000-4 1.206206+6 1.972423-4 1.216140+6 1.990000-4 1.224528+6 2.000000-4 1.229176+6 2.041738-4 1.248269+6 2.065380-4 1.259905+6 2.089296-4 1.270405+6 2.120000-4 1.284624+6 2.162719-4 1.302078+6 2.187762-4 1.312703+6 2.190000-4 1.313639+6 2.264644-4 1.339838+6 2.318600-4 1.355383+6 2.318600-4 1.481262+6 2.332000-4 1.491426+6 2.344229-4 1.499692+6 2.355000-4 1.505379+6 2.368000-4 1.511428+6 2.383000-4 1.517420+6 2.398833-4 1.522831+6 2.400000-4 1.523233+6 2.418000-4 1.528534+6 2.430000-4 1.531565+6 2.440000-4 1.533457+6 2.470000-4 1.538048+6 2.511886-4 1.543482+6 2.600160-4 1.549175+6 2.660725-4 1.549941+6 2.691535-4 1.550410+6 2.722701-4 1.549192+6 2.754229-4 1.547721+6 2.800000-4 1.545698+6 2.818383-4 1.543871+6 2.884032-4 1.537380+6 2.917427-4 1.534174+6 2.951209-4 1.529189+6 3.000000-4 1.521790+6 3.019952-4 1.518768+6 3.050000-4 1.514284+6 3.054921-4 1.513313+6 3.090295-4 1.506308+6 3.162278-4 1.492425+6 3.198895-4 1.485367+6 3.200000-4 1.485137+6 3.311311-4 1.459170+6 3.350000-4 1.450341+6 3.430000-4 1.429911+6 3.507519-4 1.410338+6 3.548134-4 1.399037+6 3.700000-4 1.358317+6 3.715352-4 1.353887+6 3.801894-4 1.328797+6 3.845918-4 1.316342+6 3.890451-4 1.303975+6 4.073803-4 1.251066+6 4.100000-4 1.243759+6 4.120975-4 1.237772+6 4.168694-4 1.223669+6 4.200000-4 1.214522+6 4.315191-4 1.181995+6 4.365158-4 1.168402+6 4.415704-4 1.154059+6 4.500000-4 1.130398+6 4.518559-4 1.125283+6 4.623810-4 1.097077+6 4.731513-4 1.067998+6 4.841724-4 1.039523+6 4.897788-4 1.025420+6 4.929400-4 1.017211+6 5.128614-4 9.680499+5 5.188000-4 9.541716+5 5.308844-4 9.255142+5 5.370318-4 9.113739+5 5.500000-4 8.827436+5 5.559043-4 8.702207+5 5.650000-4 8.506522+5 5.688529-4 8.425512+5 5.821032-4 8.155656+5 5.956621-4 7.891901+5 6.000000-4 7.809230+5 6.025596-4 7.759959+5 6.095369-4 7.628218+5 6.165950-4 7.498744+5 6.382635-4 7.121915+5 6.456542-4 6.998341+5 6.683439-4 6.628754+5 6.839116-4 6.393346+5 6.850000-4 6.377331+5 7.000000-4 6.160135+5 7.161434-4 5.935391+5 7.244360-4 5.824121+5 7.329800-4 5.712515+5 7.329800-4 3.172452+6 7.356500-4 3.168560+6 7.357000-4 3.139618+6 7.413102-4 3.030248+6 7.465000-4 2.933393+6 7.477000-4 2.915292+6 7.477000-4 4.546392+6 7.500000-4 4.514312+6 7.507500-4 4.503963+6 7.515000-4 4.490602+6 7.539000-4 4.418999+6 7.540000-4 4.415678+6 7.573000-4 4.276546+6 7.585776-4 4.220174+6 7.608000-4 4.124492+6 7.615000-4 4.092860+6 7.650000-4 3.951175+6 7.673615-4 3.862913+6 7.680000-4 3.834787+6 7.700000-4 3.754923+6 7.710000-4 3.714807+6 7.740000-4 3.605853+6 7.762471-4 3.532383+6 7.780000-4 3.480005+6 7.790000-4 3.452723+6 7.820000-4 3.379072+6 7.852356-4 3.309198+6 7.890000-4 3.242185+6 7.943282-4 3.160077+6 8.000000-4 3.083238+6 8.035261-4 3.036699+6 8.050000-4 3.017504+6 8.150000-4 2.901775+6 8.222426-4 2.826958+6 8.240000-4 2.809177+6 8.317638-4 2.742093+6 8.350000-4 2.714784+6 8.413951-4 2.665242+6 8.470000-4 2.624116+6 8.709636-4 2.464918+6 8.912509-4 2.340727+6 9.015711-4 2.282374+6 9.225714-4 2.172235+6 9.332543-4 2.119158+6 9.440609-4 2.067378+6 9.500000-4 2.039700+6 9.549926-4 2.016813+6 9.772372-4 1.917261+6 9.906800-4 1.859620+6 9.906800-4 2.128363+6 1.000000-3 2.086082+6 1.030000-3 1.958027+6 1.035142-3 1.936848+6 1.047129-3 1.888750+6 1.059254-3 1.843807+6 1.059500-3 1.842912+6 1.059500-3 1.947352+6 1.070000-3 1.909100+6 1.079000-3 1.876358+6 1.100000-3 1.802966+6 1.109175-3 1.771950+6 1.122018-3 1.729881+6 1.135011-3 1.688113+6 1.150000-3 1.640924+6 1.161449-3 1.606167+6 1.165000-3 1.595595+6 1.174898-3 1.566561+6 1.196400-3 1.506021+6 1.196400-3 1.573098+6 1.205000-3 1.549285+6 1.216186-3 1.519126+6 1.230269-3 1.482078+6 1.244515-3 1.445465+6 1.258925-3 1.409598+6 1.273503-3 1.374673+6 1.288250-3 1.340636+6 1.318257-3 1.275089+6 1.333521-3 1.243330+6 1.350000-3 1.210108+6 1.364583-3 1.181448+6 1.380384-3 1.151539+6 1.428894-3 1.066316+6 1.445440-3 1.039197+6 1.450000-3 1.031887+6 1.479108-3 9.868510+5 1.531087-3 9.130288+5 1.566751-3 8.664131+5 1.570000-3 8.623453+5 1.584893-3 8.440566+5 1.603245-3 8.219912+5 1.621810-3 8.003843+5 1.650000-3 7.691449+5 1.698244-3 7.192501+5 1.717908-3 7.002737+5 1.737801-3 6.816609+5 1.798871-3 6.284068+5 1.819701-3 6.116481+5 1.840772-3 5.953454+5 1.862087-3 5.794935+5 1.905461-3 5.489883+5 1.927525-3 5.342176+5 1.949845-3 5.198142+5 1.972423-3 5.058217+5 2.018366-3 4.788405+5 2.041738-3 4.658897+5 2.065380-3 4.532846+5 2.070000-3 4.508801+5 2.089296-3 4.409559+5 2.113489-3 4.289380+5 2.137962-3 4.172659+5 2.150000-3 4.116916+5 2.162719-3 4.058764+5 2.187762-3 3.947251+5 2.264644-3 3.631238+5 2.290868-3 3.531586+5 2.317395-3 3.434724+5 2.344229-3 3.339988+5 2.371374-3 3.247988+5 2.398833-3 3.157957+5 2.400000-3 3.154212+5 2.426610-3 3.070456+5 2.454709-3 2.985188+5 2.483133-3 2.902412+5 2.540973-3 2.743186+5 2.600160-3 2.593013+5 2.630268-3 2.521170+5 2.660725-3 2.451025+5 2.722701-3 2.315508+5 2.754229-3 2.250546+5 2.800000-3 2.160476+5 2.818383-3 2.125765+5 2.917427-3 1.951894+5 2.951209-3 1.896947+5 2.985383-3 1.843246+5 3.000000-3 1.820920+5 3.019952-3 1.790953+5 3.054921-3 1.740125+5 3.090295-3 1.690811+5 3.126079-3 1.642748+5 3.273407-3 1.464083+5 3.311311-3 1.422671+5 3.349654-3 1.381910+5 3.427678-3 1.303983+5 3.467369-3 1.266748+5 3.500000-3 1.237177+5 3.507519-3 1.230484+5 3.548134-3 1.195216+5 3.630781-3 1.127755+5 3.650000-3 1.112851+5 3.715352-3 1.063938+5 3.722400-3 1.058828+5 3.758374-3 1.033163+5 3.801894-3 1.003281+5 3.845918-3 9.743038+4 3.890451-3 9.461841+4 3.900000-3 9.403064+4 4.000000-3 8.816072+4 4.027170-3 8.665557+4 4.073803-3 8.415617+4 4.120975-3 8.173237+4 4.150000-3 8.028630+4 4.168694-3 7.936776+4 4.216965-3 7.705810+4 4.265795-3 7.480749+4 4.415704-3 6.845571+4 4.466836-3 6.646594+4 4.500000-3 6.521513+4 4.518559-3 6.452908+4 4.623810-3 6.082786+4 4.677351-3 5.904339+4 4.731513-3 5.731361+4 4.786301-3 5.563465+4 4.800000-3 5.522438+4 5.000000-3 4.968718+4 5.006100-3 4.953094+4 5.006100-3 1.475449+5 5.011872-3 1.470883+5 5.050000-3 1.441199+5 5.069907-3 1.427903+5 5.128614-3 1.389661+5 5.170000-3 1.363587+5 5.188000-3 1.351332+5 5.308844-3 1.272646+5 5.363200-3 1.239321+5 5.363200-3 1.691957+5 5.370318-3 1.686551+5 5.432503-3 1.640332+5 5.453000-3 1.625219+5 5.550000-3 1.554421+5 5.559043-3 1.547778+5 5.623413-3 1.501585+5 5.684900-3 1.459228+5 5.684900-3 1.681548+5 5.688529-3 1.678876+5 5.754399-3 1.631381+5 5.821032-3 1.585231+5 5.880000-3 1.545934+5 5.888437-3 1.540379+5 5.956621-3 1.496123+5 6.025596-3 1.453156+5 6.165950-3 1.371937+5 6.300000-3 1.299489+5 6.309573-3 1.294444+5 6.382635-3 1.256835+5 6.456542-3 1.220350+5 6.531306-3 1.184929+5 6.606934-3 1.150497+5 6.683439-3 1.117070+5 6.760830-3 1.084376+5 6.839116-3 1.052663+5 7.000000-3 9.914620+4 7.079458-3 9.628537+4 7.244360-3 9.071003+4 7.300000-3 8.893179+4 7.328245-3 8.804245+4 7.413102-3 8.542604+4 7.498942-3 8.288858+4 7.673615-3 7.804311+4 7.762471-3 7.573027+4 7.852356-3 7.348357+4 8.000000-3 6.998837+4 8.222426-3 6.515065+4 8.317638-3 6.322189+4 8.413951-3 6.135130+4 8.511380-3 5.951915+4 8.609938-3 5.774257+4 8.709636-3 5.602032+4 8.912509-3 5.273226+4 9.015711-3 5.116341+4 9.332543-3 4.670795+4 9.549926-3 4.395647+4 9.660509-3 4.264335+4 9.800000-3 4.106206+4 9.885531-3 4.012110+4 1.000000-2 3.890690+4 1.023293-2 3.659017+4 1.035142-2 3.547861+4 1.059254-2 3.335747+4 1.071519-2 3.234634+4 1.083927-2 3.136588+4 1.096478-2 3.041581+4 1.120000-2 2.873765+4 1.122018-2 2.859934+4 1.135011-2 2.773061+4 1.150000-2 2.677358+4 1.161449-2 2.607098+4 1.174898-2 2.527218+4 1.188502-2 2.449835+4 1.202264-2 2.374881+4 1.230269-2 2.231952+4 1.244515-2 2.163752+4 1.273503-2 2.033551+4 1.288250-2 1.971012+4 1.303167-2 1.910393+4 1.318257-2 1.851681+4 1.333521-2 1.794648+4 1.348963-2 1.739128+4 1.364583-2 1.685375+4 1.396368-2 1.582932+4 1.412538-2 1.534122+4 1.462177-2 1.396536+4 1.479108-2 1.353542+4 1.496236-2 1.311901+4 1.500000-2 1.302989+4 1.513561-2 1.271313+4 1.548817-2 1.193806+4 1.566751-2 1.156629+4 1.584893-2 1.120640+4 1.603245-2 1.085793+4 1.621810-2 1.052020+4 1.678804-2 9.566169+3 1.698244-2 9.268318+3 1.717908-2 8.980011+3 1.737801-2 8.700830+3 1.757924-2 8.430478+3 1.778279-2 8.168505+3 1.819701-2 7.666205+3 1.840772-2 7.427003+3 1.862087-2 7.195193+3 1.883649-2 6.969369+3 1.949845-2 6.333117+3 1.972423-2 6.134566+3 1.995262-2 5.942391+3 2.000000-2 5.903574+3 2.018366-2 5.755626+3 2.041738-2 5.574665+3 2.065380-2 5.399498+3 2.089296-2 5.229785+3 2.113489-2 5.065506+3 2.150000-2 4.830625+3 2.162719-2 4.752304+3 2.187762-2 4.602750+3 2.213400-2 4.456316+3 2.238721-2 4.317304+3 2.264644-2 4.181140+3 2.300000-2 4.004835+3 2.317395-2 3.921246+3 2.344229-2 3.796961+3 2.398833-2 3.560321+3 2.426610-2 3.447678+3 2.454709-2 3.338462+3 2.500000-2 3.172261+3 2.570396-2 2.935748+3 2.576800-2 2.915457+3 2.600160-2 2.842869+3 2.630268-2 2.752950+3 2.722701-2 2.499278+3 2.754229-2 2.419540+3 2.786121-2 2.342408+3 2.818383-2 2.267773+3 2.851018-2 2.195511+3 2.884032-2 2.125496+3 2.917427-2 2.057768+3 3.019952-2 1.867450+3 3.054921-2 1.808095+3 3.126079-2 1.695101+3 3.162278-2 1.641033+3 3.198895-2 1.588734+3 3.235937-2 1.537748+3 3.311311-2 1.440725+3 3.349654-2 1.394549+3 3.388442-2 1.349811+3 3.427678-2 1.306540+3 3.548134-2 1.184994+3 3.589219-2 1.147100+3 3.598500-2 1.138771+3 3.598500-2 6.751196+3 3.630781-2 6.611116+3 3.680000-2 6.387283+3 3.715352-2 6.243595+3 3.758374-2 6.050339+3 3.801894-2 5.862738+3 3.890451-2 5.530752+3 3.935501-2 5.371906+3 3.950000-2 5.322129+3 4.000000-2 5.146832+3 4.073803-2 4.902337+3 4.120975-2 4.754389+3 4.216965-2 4.471811+3 4.265795-2 4.336913+3 4.315191-2 4.206100+3 4.415704-2 3.959261+3 4.466836-2 3.841187+3 4.518559-2 3.726651+3 4.570882-2 3.615545+3 4.623810-2 3.507726+3 4.677351-2 3.403101+3 4.731513-2 3.301605+3 4.800000-2 3.179142+3 4.897788-2 3.011196+3 5.011872-2 2.830302+3 5.069907-2 2.743988+3 5.128614-2 2.660316+3 5.188000-2 2.579206+3 5.248075-2 2.500577+3 5.308844-2 2.424254+3 5.370318-2 2.350266+3 5.432503-2 2.278546+3 5.495409-2 2.207981+3 5.559043-2 2.139590+3 5.623413-2 2.073320+3 5.956621-2 1.771523+3 6.095369-2 1.663523+3 6.200000-2 1.587959+3 6.237348-2 1.562093+3 6.309573-2 1.513679+3 6.382635-2 1.466770+3 6.456542-2 1.421319+3 6.531306-2 1.377279+3 6.606934-2 1.334600+3 6.760830-2 1.253172+3 6.918310-2 1.175490+3 7.079458-2 1.102631+3 7.161434-2 1.067913+3 7.413102-2 9.701958+2 7.762471-2 8.535684+2 7.852356-2 8.266770+2 7.943282-2 8.006290+2 8.000000-2 7.849443+2 8.128305-2 7.509730+2 8.317638-2 7.044022+2 8.413951-2 6.822140+2 8.500000-2 6.631878+2 8.511380-2 6.606935+2 8.609938-2 6.396147+2 8.912509-2 5.803366+2 9.120108-2 5.438694+2 9.225714-2 5.265059+2 9.440609-2 4.934268+2 9.772372-2 4.476608+2 1.000000-1 4.195363+2 1.011580-1 4.061444+2 1.035142-1 3.806335+2 1.083927-1 3.343241+2 1.096478-1 3.235543+2 1.161449-1 2.746498+2 1.188502-1 2.572279+2 1.202264-1 2.489376+2 1.216186-1 2.409134+2 1.244515-1 2.256360+2 1.258925-1 2.183655+2 1.318257-1 1.915520+2 1.364583-1 1.736290+2 1.380384-1 1.680358+2 1.396368-1 1.626233+2 1.412538-1 1.573851+2 1.428894-1 1.523161+2 1.462177-1 1.426602+2 1.513561-1 1.293130+2 1.566751-1 1.172177+2 1.603245-1 1.097916+2 1.640590-1 1.028364+2 1.659587-1 9.953199+1 1.678804-1 9.633399+1 1.698244-1 9.323894+1 1.757924-1 8.453849+1 1.778279-1 8.182293+1 1.819701-1 7.665068+1 1.840772-1 7.418907+1 1.883649-1 6.950165+1 1.927525-1 6.511060+1 1.972423-1 6.099719+1 2.000000-1 5.864381+1 2.018366-1 5.714426+1 2.041738-1 5.531008+1 2.089296-1 5.181665+1 2.137962-1 4.854402+1 2.187762-1 4.547943+1 2.238721-1 4.263839+1 2.264644-1 4.128517+1 2.290868-1 3.997489+1 2.344229-1 3.747815+1 2.371374-1 3.628892+1 2.398833-1 3.513747+1 2.426610-1 3.402257+1 2.454709-1 3.294433+1 2.483133-1 3.190076+1 2.511886-1 3.089026+1 2.570396-1 2.896428+1 2.600160-1 2.804707+1 2.650000-1 2.659759+1 2.691535-1 2.548174+1 2.722701-1 2.468599+1 2.754229-1 2.391508+1 2.786121-1 2.316846+1 2.818383-1 2.244518+1 2.917427-1 2.040859+1 2.951209-1 1.977263+1 2.985383-1 1.915648+1 3.000060-1 1.889989+1 3.019952-1 1.855956+1 3.054921-1 1.798125+1 3.090295-1 1.742113+1 3.126079-1 1.688758+1 3.198895-1 1.586906+1 3.235937-1 1.538318+1 3.273407-1 1.491219+1 3.311311-1 1.445565+1 3.349654-1 1.401310+1 3.388442-1 1.358412+1 3.427678-1 1.316898+1 3.467369-1 1.276663+1 3.507519-1 1.237659+1 3.548134-1 1.199846+1 3.589219-1 1.163862+1 3.630781-1 1.128964+1 3.672823-1 1.095116+1 3.758374-1 1.030434+1 3.801894-1 9.995403+0 3.845918-1 9.695810+0 3.890451-1 9.405230+0 3.935501-1 9.123883+0 3.981072-1 8.850960+0 4.000000-1 8.740907+0 4.027170-1 8.586216+0 4.073803-1 8.334312+0 4.168694-1 7.852660+0 4.216965-1 7.622380+0 4.365158-1 6.971446+0 4.415705-1 6.767085+0 4.466836-1 6.569149+0 4.518559-1 6.377017+0 4.570882-1 6.194417+0 4.623810-1 6.017049+0 4.841724-1 5.357386+0 4.897788-1 5.204111+0 4.954502-1 5.055236+0 5.000000-1 4.940070+0 5.011872-1 4.910699+0 5.069907-1 4.770608+0 5.188000-1 4.508512+0 5.308844-1 4.260937+0 5.370318-1 4.142303+0 5.432503-1 4.026977+0 5.495409-1 3.914861+0 5.559043-1 3.805880+0 5.623413-1 3.699993+0 5.688529-1 3.599613+0 5.821032-1 3.406954+0 5.888437-1 3.314580+0 5.956621-1 3.224714+0 6.025596-1 3.137284+0 6.095369-1 3.052226+0 6.165950-1 2.969498+0 6.237348-1 2.889046+0 6.309573-1 2.812656+0 6.382635-1 2.738483+0 6.456542-1 2.666272+0 6.531306-1 2.596002+0 6.606935-1 2.527584+0 6.683439-1 2.460972+0 6.760830-1 2.396132+0 6.839117-1 2.333019+0 6.918310-1 2.271579+0 6.998420-1 2.213224+0 7.079458-1 2.156516+0 7.161434-1 2.101263+0 7.244360-1 2.047456+0 7.328245-1 1.995027+0 7.413102-1 1.943956+0 7.498942-1 1.894192+0 7.585776-1 1.845714+0 7.673615-1 1.798484+0 7.762471-1 1.753757+0 7.943282-1 1.667873+0 8.000000-1 1.642195+0 8.035261-1 1.626529+0 8.222427-1 1.546915+0 8.317638-1 1.508591+0 8.511380-1 1.434782+0 8.609938-1 1.400309+0 8.709636-1 1.366780+0 8.810489-1 1.334055+0 8.912509-1 1.302134+0 9.015711-1 1.270989+0 9.120108-1 1.240589+0 9.225714-1 1.210918+0 9.332543-1 1.181961+0 9.440609-1 1.154573+0 9.549926-1 1.127923+0 9.660509-1 1.101900+0 9.772372-1 1.076496+0 9.885531-1 1.051683+0 1.000000+0 1.027442+0 1.011579+0 1.003772+0 1.023293+0 9.806530-1 1.035142+0 9.586482-1 1.047129+0 9.371911-1 1.059254+0 9.162177-1 1.071519+0 8.957162-1 1.083927+0 8.756796-1 1.096478+0 8.561029-1 1.109175+0 8.369629-1 1.135011+0 7.999695-1 1.148154+0 7.820918-1 1.161449+0 7.646199-1 1.174898+0 7.475416-1 1.202264+0 7.154487-1 1.216186+0 6.999221-1 1.230269+0 6.847374-1 1.250000+0 6.643085-1 1.273503+0 6.411712-1 1.288250+0 6.272763-1 1.303167+0 6.136835-1 1.318257+0 6.007904-1 1.333521+0 5.881689-1 1.348963+0 5.758152-1 1.364583+0 5.637226-1 1.380384+0 5.518839-1 1.396368+0 5.403038-1 1.412538+0 5.289660-1 1.428894+0 5.178676-1 1.462177+0 4.963642-1 1.479108+0 4.862775-1 1.500000+0 4.742655-1 1.513561+0 4.667158-1 1.531087+0 4.572332-1 1.548817+0 4.479426-1 1.603245+0 4.212070-1 1.621810+0 4.126544-1 1.640590+0 4.042758-1 1.678804+0 3.885451-1 1.698244+0 3.809111-1 1.717908+0 3.734277-1 1.737801+0 3.660943-1 1.757924+0 3.589052-1 1.798871+0 3.449570-1 1.819701+0 3.381875-1 1.840772+0 3.315509-1 1.862087+0 3.250449-1 1.905461+0 3.128226-1 1.927525+0 3.068853-1 1.949845+0 3.010609-1 1.972423+0 2.953503-1 2.000000+0 2.886073-1 2.018366+0 2.842550-1 2.044000+0 2.783539-1 2.065380+0 2.735806-1 2.113489+0 2.633078-1 2.162719+0 2.537540-1 2.187762+0 2.491082-1 2.213095+0 2.445477-1 2.238721+0 2.400731-1 2.264644+0 2.356803-1 2.290868+0 2.313706-1 2.317395+0 2.271399-1 2.344229+0 2.229865-1 2.398833+0 2.149068-1 2.454709+0 2.073771-1 2.483133+0 2.037120-1 2.511886+0 2.001119-1 2.540973+0 1.965771-1 2.570396+0 1.931049-1 2.600160+0 1.896963-1 2.630268+0 1.863479-1 2.660725+0 1.830586-1 2.722701+0 1.766535-1 2.754229+0 1.736380-1 2.818383+0 1.677616-1 2.851018+0 1.648986-1 2.884032+0 1.620844-1 2.917427+0 1.593199-1 2.951209+0 1.566025-1 2.985383+0 1.539331-1 3.019952+0 1.513093-1 3.054921+0 1.487303-1 3.126079+0 1.437037-1 3.162278+0 1.413356-1 3.235937+0 1.367168-1 3.273407+0 1.344644-1 3.311311+0 1.322492-1 3.349654+0 1.300717-1 3.388442+0 1.279299-1 3.467369+0 1.237543-1 3.507519+0 1.217179-1 3.548134+0 1.197150-1 3.630781+0 1.158077-1 3.672823+0 1.139631-1 3.758374+0 1.103619-1 3.801894+0 1.086044-1 3.845918+0 1.068748-1 3.890451+0 1.051737-1 3.935501+0 1.034996-1 4.073803+0 9.863834-2 4.120975+0 9.706923-2 4.168694+0 9.552505-2 4.265795+0 9.251023-2 4.315191+0 9.108388-2 4.415704+0 8.829726-2 4.466836+0 8.693613-2 4.518559+0 8.559606-2 4.570882+0 8.427728-2 4.623810+0 8.297883-2 4.786301+0 7.920462-2 4.841724+0 7.798509-2 4.897788+0 7.678436-2 5.011872+0 7.443820-2 5.069907+0 7.332915-2 5.188000+0 7.116071-2 5.248075+0 7.010071-2 5.308844+0 6.905655-2 5.370318+0 6.802845-2 5.432503+0 6.701566-2 5.623413+0 6.406868-2 5.754399+0 6.217638-2 5.821032+0 6.125129-2 5.956621+0 5.944232-2 6.025596+0 5.858450-2 6.165950+0 5.690604-2 6.237348+0 5.608497-2 6.382635+0 5.447825-2 6.456542+0 5.369263-2 6.531306+0 5.291832-2 6.760830+0 5.066313-2 6.918310+0 4.921332-2 7.000000+0 4.849025-2 7.161434+0 4.711611-2 7.244360+0 4.645730-2 7.413102+0 4.516738-2 7.498942+0 4.453593-2 7.673615+0 4.329945-2 7.762471+0 4.269415-2 7.852356+0 4.209758-2 7.943282+0 4.150935-2 8.222427+0 3.979451-2 8.413951+0 3.869083-2 8.511380+0 3.815052-2 8.609938+0 3.761777-2 8.810489+0 3.657452-2 8.912509+0 3.607888-2 9.120108+0 3.510778-2 9.225714+0 3.463210-2 9.440609+0 3.370001-2 9.549926+0 3.324342-2 9.660509+0 3.279321-2 9.772372+0 3.234911-2 1.011579+1 3.105328-2 1.035142+1 3.021834-2 1.059254+1 2.940584-2 1.071519+1 2.900787-2 1.100000+1 2.812103-2 1.109175+1 2.785327-2 1.135011+1 2.712433-2 1.148154+1 2.676706-2 1.174898+1 2.606661-2 1.188502+1 2.572330-2 1.202264+1 2.538457-2 1.216186+1 2.505034-2 1.230269+1 2.472052-2 1.303167+1 2.313618-2 1.333521+1 2.253126-2 1.380384+1 2.165339-2 1.412538+1 2.108726-2 1.428894+1 2.081745-2 1.445440+1 2.055110-2 1.462177+1 2.028818-2 1.479108+1 2.002871-2 1.500000+1 1.971707-2 1.717908+1 1.694357-2 1.819701+1 1.588782-2 1.883649+1 1.528622-2 1.905461+1 1.509080-2 1.927525+1 1.490282-2 2.162719+1 1.314857-2 2.600160+1 1.076106-2 2.630268+1 1.062713-2 2.660725+1 1.049765-2 2.754229+1 1.011886-2 3.715352+1 7.358856-3 3.758374+1 7.269260-3 3.801894+1 7.182341-3 3.935501+1 6.927932-3 5.688529+1 4.715610-3 5.754399+1 4.659262-3 5.821032+1 4.604392-3 5.888437+1 4.550180-3 6.095369+1 4.391391-3 9.440609+1 2.800269-3 9.549926+1 2.767309-3 9.660509+1 2.734739-3 9.772372+1 2.702931-3 1.011579+2 2.609740-3 1.883649+2 1.387761-3 1.905461+2 1.371625-3 1.927525+2 1.355677-3 1.949845+2 1.340038-3 2.018366+2 1.294204-3 3.758374+2 6.917430-4 3.801894+2 6.837647-4 3.845918+2 6.758786-4 3.890451+2 6.681186-4 4.027170+2 6.453714-4 1.496236+3 1.730392-4 1.513561+3 1.710528-4 1.531087+3 1.690891-4 1.548817+3 1.671527-4 1.603245+3 1.614760-4 1.000000+5 2.584982-6 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 3.690000-6 3.690000-6 1.643000-5 3.690000-6 1.643000-5 1.642750-5 1.827000-5 1.642517-5 1.827000-5 1.730180-5 2.150000-5 1.722099-5 3.097000-5 1.717678-5 3.097000-5 1.725961-5 3.400000-5 1.732822-5 3.845918-5 1.755029-5 4.330000-5 1.793005-5 6.025596-5 1.957223-5 6.760830-5 2.015791-5 7.413102-5 2.057408-5 8.317638-5 2.100255-5 8.324000-5 2.100484-5 8.324000-5 4.138012-5 8.433300-5 4.300142-5 8.561000-5 4.355480-5 8.561000-5 4.367017-5 8.732000-5 4.419100-5 9.225714-5 4.430321-5 9.850000-5 4.412796-5 1.061300-4 4.373518-5 1.135011-4 4.312405-5 1.220000-4 4.208379-5 1.303167-4 4.071017-5 1.435000-4 3.822562-5 1.485000-4 3.750362-5 1.531087-4 3.707996-5 1.566751-4 3.692796-5 1.621810-4 3.696634-5 1.677600-4 3.725029-5 1.677600-4 5.819006-5 1.744000-4 5.666987-5 1.800000-4 5.586093-5 1.819700-4 5.563750-5 1.819700-4 5.947842-5 1.910000-4 5.836979-5 2.000000-4 5.758793-5 2.162719-4 5.667160-5 2.318600-4 5.607871-5 2.318600-4 5.974983-5 2.368000-4 6.003659-5 2.440000-4 5.998076-5 2.722701-4 5.919834-5 3.054921-4 5.871867-5 3.548134-4 5.844701-5 4.200000-4 5.845904-5 5.559043-4 5.894775-5 7.329800-4 5.990955-5 7.329800-4 1.029646-4 7.357000-4 1.029266-4 7.477000-4 1.024795-4 7.477000-4 1.057301-4 7.585776-4 1.053936-4 7.852356-4 1.040853-4 8.317638-4 1.034040-4 9.906800-4 1.029516-4 9.906800-4 1.131955-4 1.059500-3 1.136261-4 1.059500-3 1.174566-4 1.196400-3 1.191848-4 1.196400-3 1.238333-4 1.570000-3 1.287757-4 1.972423-3 1.332395-4 2.426610-3 1.374293-4 3.019952-3 1.419011-4 3.758374-3 1.463431-4 4.677351-3 1.507194-4 5.006100-3 1.520337-4 5.006100-3 2.134856-4 5.363200-3 2.140677-4 5.363200-3 2.252909-4 5.684900-3 2.257004-4 5.684900-3 2.360023-4 8.000000-3 2.402654-4 1.202264-2 2.452708-4 1.778279-2 2.501326-4 2.630268-2 2.549076-4 3.598500-2 2.585521-4 3.598500-2 2.598306-4 9.120108-2 2.611531-4 3.630781-1 2.620149-4 1.000000+5 2.622000-4 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 3.690000-6 0.0 8.561000-5 0.0 8.561000-5 1.557348-9 8.565000-5 1.594175-9 8.579000-5 1.745200-9 8.590000-5 1.879321-9 8.605000-5 2.086709-9 8.620000-5 2.324265-9 8.635000-5 2.595961-9 8.646000-5 2.817269-9 8.661000-5 3.153484-9 8.676000-5 3.530203-9 8.687000-5 3.832329-9 8.702000-5 4.281183-9 8.706000-5 4.439126-9 8.732000-5 4.872328-9 8.766000-5 5.598283-9 8.873000-5 6.368281-9 8.998000-5 6.267303-9 9.100000-5 5.913776-9 9.145000-5 5.874883-9 9.160000-5 5.832469-9 9.335000-5 5.244459-9 9.420000-5 5.020079-9 9.500000-5 4.866869-9 9.660509-5 4.680014-9 9.720000-5 4.603329-9 9.760000-5 4.571003-9 9.850000-5 4.550767-9 1.011579-4 4.525314-9 1.061300-4 4.513898-9 1.096478-4 4.480814-9 1.135011-4 4.422084-9 1.161449-4 4.369944-9 1.205000-4 4.266408-9 1.260000-4 4.102470-9 1.303167-4 3.947202-9 1.333521-4 3.822447-9 1.380384-4 3.612140-9 1.450000-4 3.285163-9 1.485000-4 3.135914-9 1.515000-4 3.026407-9 1.531087-4 2.975685-9 1.548817-4 2.926931-9 1.566751-4 2.885862-9 1.585000-4 2.852293-9 1.606600-4 2.824004-9 1.621810-4 2.808069-9 1.643000-4 2.796100-9 1.660000-4 2.792431-9 1.677600-4 2.795429-9 1.677600-4 3.378838-9 1.737801-4 3.354885-9 1.762000-4 3.353158-9 1.819700-4 3.371067-9 1.819700-4 4.536989-9 1.890000-4 4.454132-9 1.940000-4 4.410168-9 2.000000-4 4.384148-9 2.089296-4 4.377163-9 2.318600-4 4.407664-9 2.318600-4 4.843680-9 2.355000-4 4.890136-9 2.400000-4 4.916695-9 2.470000-4 4.925601-9 2.818383-4 4.929411-9 6.382635-4 5.158733-9 7.329800-4 5.213286-9 7.329800-4 6.422536-9 7.477000-4 6.409956-9 7.477000-4 1.287714-7 7.515000-4 1.303325-7 7.540000-4 1.318003-7 7.573000-4 1.340770-7 7.615000-4 1.361283-7 7.650000-4 1.369611-7 7.673615-4 1.369354-7 7.710000-4 1.350274-7 7.790000-4 1.294940-7 7.820000-4 1.278189-7 7.852356-4 1.265026-7 7.890000-4 1.253816-7 7.943282-4 1.244892-7 8.150000-4 1.231138-7 8.350000-4 1.214679-7 8.470000-4 1.210667-7 9.225714-4 1.202178-7 9.906800-4 1.199102-7 9.906800-4 1.925316-7 1.047129-3 1.949057-7 1.059500-3 1.961619-7 1.059500-3 2.291630-7 1.100000-3 2.339646-7 1.196400-3 2.433692-7 1.196400-3 2.744424-7 1.380384-3 2.944022-7 1.479108-3 3.044609-7 1.737801-3 3.284869-7 2.041738-3 3.528807-7 2.290868-3 3.707514-7 2.660725-3 3.937578-7 3.054921-3 4.148105-7 3.507519-3 4.357112-7 4.073803-3 4.579043-7 4.731513-3 4.794176-7 5.006100-3 4.873051-7 5.006100-3 3.027918-4 5.128614-3 3.031896-4 5.363200-3 3.034691-4 5.363200-3 3.735120-4 5.623413-3 3.744635-4 5.684900-3 3.744604-4 5.684900-3 3.924147-4 7.328245-3 3.955879-4 1.174898-2 3.990874-4 2.317395-2 4.020324-4 3.598500-2 4.033441-4 3.598500-2 2.415063-2 4.216965-2 2.433070-2 5.495409-2 2.455601-2 7.943282-2 2.474961-2 1.318257-1 2.489351-2 3.388442-1 2.498406-2 1.303167+0 2.506650-2 1.000000+5 2.506542-2 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 3.690000-6 0.0 1.643000-5 1.274000-5 1.643000-5 2.499127-9 1.827000-5 1.844827-6 1.827000-5 9.682001-7 1.883649-5 1.559328-6 1.950000-5 2.243816-6 2.090000-5 3.671345-6 2.483133-5 7.634519-6 3.097000-5 1.379322-5 3.097000-5 1.371039-5 3.400000-5 1.667178-5 3.845918-5 2.090889-5 4.450000-5 2.646099-5 6.165950-5 4.196495-5 7.413102-5 5.355694-5 8.324000-5 6.223516-5 8.324000-5 4.185988-5 8.433300-5 4.133158-5 8.561000-5 4.205520-5 8.561000-5 4.193827-5 8.732000-5 4.312413-5 9.160000-5 4.728600-5 9.850000-5 5.436748-5 1.096478-4 6.616858-5 1.194100-4 7.696397-5 1.303167-4 8.960258-5 1.465000-4 1.087345-4 1.548817-4 1.178935-4 1.650000-4 1.279120-4 1.677600-4 1.305069-4 1.677600-4 1.095666-4 1.762000-4 1.198356-4 1.819700-4 1.263291-4 1.819700-4 1.224870-4 1.972423-4 1.394376-4 2.190000-4 1.624444-4 2.318600-4 1.757769-4 2.318600-4 1.721053-4 2.430000-4 1.829954-4 3.054921-4 2.467685-4 5.128614-4 4.541045-4 7.329800-4 6.730652-4 7.329800-4 6.300089-4 7.477000-4 6.452141-4 7.477000-4 6.418411-4 8.350000-4 7.314977-4 9.906800-4 8.876085-4 9.906800-4 8.772920-4 1.059500-3 9.456778-4 1.059500-3 9.418142-4 1.196400-3 1.076972-3 1.196400-3 1.072292-3 3.019952-3 2.877638-3 5.006100-3 4.853579-3 5.006100-3 4.489823-3 5.363200-3 4.845663-3 5.363200-3 4.764397-3 5.684900-3 5.084739-3 5.684900-3 5.056483-3 3.598500-2 3.532310-2 3.598500-2 1.157454-2 3.758374-2 1.311150-2 4.265795-2 1.805764-2 5.432503-2 2.951520-2 9.225714-2 6.719227-2 1.000000+5 9.999997+4 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 3.598500-2 5.612425+3 3.630781-2 5.500675+3 3.680000-2 5.318200+3 3.715352-2 5.202919+3 3.801894-2 4.887702+3 3.950000-2 4.447600+3 4.315191-2 3.525903+3 4.800000-2 2.677020+3 5.432503-2 1.925996+3 6.760830-2 1.065033+3 8.500000-2 5.659220+2 1.083927-1 2.861525+2 1.640590-1 8.828481+1 2.187762-1 3.908293+1 2.650000-1 2.286940+1 3.090295-1 1.498466+1 3.548134-1 1.032379+1 4.027170-1 7.390162+0 4.518559-1 5.490354+0 5.069907-1 4.108648+0 5.623413-1 3.187689+0 6.237348-1 2.489750+0 6.918310-1 1.958256+0 7.673615-1 1.550920+0 8.511380-1 1.237791+0 9.332543-1 1.020079+0 1.023293+0 8.465742-1 1.174898+0 6.454298-1 1.303167+0 5.298365-1 1.462177+0 4.285079-1 1.640590+0 3.489971-1 1.862087+0 2.806042-1 2.113489+0 2.273089-1 2.398833+0 1.855260-1 2.722701+0 1.525032-1 3.126079+0 1.240596-1 3.630781+0 9.997722-2 4.265795+0 7.986447-2 5.011872+0 6.426270-2 5.956621+0 5.131668-2 7.161434+0 4.067548-2 8.810489+0 3.157486-2 1.100000+1 2.427700-2 1.412538+1 1.820484-2 1.905461+1 1.302828-2 2.630268+1 9.174703-3 3.758374+1 6.275770-3 5.754399+1 4.022474-3 9.660509+1 2.360986-3 1.927525+2 1.170398-3 3.845918+2 5.835081-4 1.531087+3 1.459802-4 1.000000+5 2.231700-6 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 3.598500-2 2.600900-4 1.000000+5 2.600900-4 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.598500-2 2.896900-2 1.000000+5 2.896900-2 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.598500-2 6.755910-3 1.000000+5 9.999997+4 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 5.684900-3 2.223200+4 5.880000-3 2.107700+4 6.025596-3 2.020002+4 6.165950-3 1.950930+4 7.300000-3 1.460246+4 7.762471-3 1.306238+4 9.015711-3 9.912281+3 9.885531-3 8.294079+3 1.161449-2 6.054820+3 1.318257-2 4.675554+3 1.500000-2 3.576360+3 1.778279-2 2.481147+3 2.000000-2 1.914528+3 2.300000-2 1.397870+3 2.722701-2 9.466204+2 3.198895-2 6.461907+2 3.758374-2 4.372565+2 4.415704-2 2.934117+2 5.248075-2 1.896872+2 6.200000-2 1.235030+2 7.413102-2 7.735314+1 8.912509-2 4.737756+1 1.096478-1 2.707897+1 1.428894-1 1.312515+1 2.426610-1 3.066138+0 2.917427-1 1.861371+0 3.388442-1 1.248999+0 3.890451-1 8.701371-1 4.415705-1 6.290486-1 5.000000-1 4.609264-1 5.623413-1 3.462721-1 6.309573-1 2.636600-1 6.998420-1 2.077327-1 7.762471-1 1.647192-1 8.609938-1 1.315831-1 9.440609-1 1.085230-1 1.035142+0 9.013154-2 1.174898+0 7.030466-2 1.303167+0 5.771161-2 1.462177+0 4.667365-2 1.640590+0 3.801118-2 1.862087+0 3.056026-2 2.113489+0 2.475559-2 2.398833+0 2.020454-2 2.722701+0 1.660719-2 3.126079+0 1.350881-2 3.630781+0 1.088625-2 4.265795+0 8.696141-3 5.011872+0 6.997372-3 5.956621+0 5.587689-3 7.161434+0 4.428957-3 8.810489+0 3.438068-3 1.100000+1 2.643400-3 1.412538+1 1.982248-3 1.905461+1 1.418617-3 2.630268+1 9.989993-4 3.758374+1 6.833463-4 5.754399+1 4.379910-4 9.660509+1 2.570762-4 1.927525+2 1.274409-4 3.845918+2 6.353559-5 1.531087+3 1.589513-5 1.000000+5 2.430000-7 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 5.684900-3 3.036200-4 1.000000+5 3.036200-4 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 5.684900-3 5.102600-4 1.000000+5 5.102600-4 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 5.684900-3 4.871020-3 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 5.363200-3 4.526361+4 5.453000-3 4.386600+4 5.550000-3 4.223600+4 5.888437-3 3.634700+4 6.683439-3 2.609400+4 7.328245-3 2.033600+4 8.413951-3 1.388500+4 1.023293-2 8.025300+3 1.120000-2 6.188800+3 1.333521-2 3.719700+3 1.621810-2 2.074200+3 1.883649-2 1.316100+3 2.162719-2 8.604700+2 2.576800-2 4.982200+2 3.126079-2 2.703400+2 3.801894-2 1.443700+2 4.731513-2 7.105200+1 6.237348-2 2.876000+1 1.216186-1 3.194475+0 1.513561-1 1.565509+0 1.819701-1 8.647510-1 2.137962-1 5.180908-1 2.454709-1 3.362388-1 2.818383-1 2.198422-1 3.198895-1 1.500209-1 3.589219-1 1.067151-1 4.027170-1 7.645152-2 4.518559-1 5.519069-2 5.011872-1 4.144861-2 5.559043-1 3.134463-2 6.165950-1 2.387980-2 6.760830-1 1.887903-2 7.498942-1 1.461671-2 8.317638-1 1.140147-2 9.440609-1 8.475156-3 1.000000+0 7.454100-3 1.071519+0 6.445798-3 1.148154+0 5.613767-3 1.250000+0 4.774158-3 1.380384+0 3.984064-3 1.717908+0 2.710701-3 1.949845+0 2.184048-3 2.213095+0 1.774315-3 2.511886+0 1.452073-3 2.884032+0 1.175946-3 3.311311+0 9.594478-4 3.845918+0 7.754122-4 4.518559+0 6.210268-4 5.308844+0 5.010248-4 6.382635+0 3.952398-4 7.762471+0 3.097218-4 9.549926+0 2.411734-4 1.202264+1 1.841777-4 1.462177+1 1.472796-4 1.927525+1 1.082013-4 2.660725+1 7.621771-5 3.801894+1 5.214670-5 5.821032+1 3.343122-5 9.660509+1 1.985772-5 1.927525+2 9.844032-6 3.845918+2 4.907666-6 1.531087+3 1.227819-6 1.000000+5 1.877000-8 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 5.363200-3 2.560200-4 1.000000+5 2.560200-4 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.363200-3 5.652900-4 1.000000+5 5.652900-4 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.363200-3 4.541890-3 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 5.006100-3 9.801399+4 5.050000-3 9.569348+4 5.170000-3 9.078560+4 5.432503-3 7.979782+4 6.300000-3 5.350200+4 7.000000-3 3.983656+4 8.413951-3 2.356875+4 9.800000-3 1.516948+4 1.150000-2 9.417320+3 1.273503-2 6.928486+3 1.548817-2 3.798234+3 1.862087-2 2.133018+3 2.213400-2 1.229677+3 2.630268-2 7.035826+2 3.126079-2 3.992093+2 3.758374-2 2.164364+2 4.570882-2 1.120383+2 5.623413-2 5.538822+1 7.079458-2 2.514618+1 1.188502-1 4.216577+0 1.566751-1 1.639097+0 1.840772-1 9.510807-1 2.137962-1 5.780029-1 2.454709-1 3.677903-1 2.754229-1 2.540367-1 3.090295-1 1.767330-1 3.427678-1 1.283927-1 3.801894-1 9.394947-2 4.216965-1 6.927473-2 4.623810-1 5.321032-2 5.069907-1 4.115408-2 5.559043-1 3.205306-2 6.095369-1 2.514781-2 6.683439-1 1.988389-2 7.328245-1 1.583789-2 8.222427-1 1.202783-2 8.912509-1 9.974622-3 9.549926-1 8.555093-3 1.011579+0 7.572131-3 1.109175+0 6.282154-3 1.216186+0 5.251129-3 1.333521+0 4.421808-3 1.500000+0 3.579806-3 1.717908+0 2.819031-3 1.949845+0 2.271764-3 2.213095+0 1.845313-3 2.511886+0 1.510046-3 2.884032+0 1.222839-3 3.311311+0 9.976930-4 3.845918+0 8.063191-4 4.518559+0 6.457779-4 5.308844+0 5.209969-4 6.382635+0 4.109979-4 7.762471+0 3.220686-4 9.549926+0 2.507862-4 1.188502+1 1.940868-4 1.462177+1 1.531486-4 1.927525+1 1.125125-4 2.660725+1 7.925570-5 3.801894+1 5.422572-5 5.821032+1 3.476346-5 9.772372+1 2.040800-5 1.949845+2 1.011786-5 3.890451+2 5.044602-6 1.548817+3 1.262077-6 1.000000+5 1.951900-8 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 5.006100-3 2.445400-4 1.000000+5 2.445400-4 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.006100-3 4.555600-4 1.000000+5 4.555600-4 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.006100-3 4.306000-3 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.196400-3 6.707716+4 1.380384-3 5.625791+4 1.445440-3 5.297601+4 1.737801-3 4.074266+4 2.018366-3 3.272837+4 2.187762-3 2.885558+4 2.660725-3 2.102089+4 2.985383-3 1.729429+4 3.467369-3 1.334590+4 4.168694-3 9.587363+3 4.800000-3 7.388100+3 5.559043-3 5.599220+3 6.606934-3 4.008110+3 7.852356-3 2.844714+3 9.332543-3 2.002607+3 1.096478-2 1.432506+3 1.288250-2 1.017168+3 1.500000-2 7.311900+2 1.757924-2 5.145771+2 2.065380-2 3.573941+2 2.426610-2 2.463322+2 2.851018-2 1.685188+2 3.349654-2 1.144232+2 3.935501-2 7.711463+1 4.623810-2 5.158971+1 5.495409-2 3.327633+1 6.531306-2 2.129988+1 7.852356-2 1.313094+1 9.440609-2 8.035435+0 1.202264-1 4.176880+0 2.570396-1 5.239696-1 3.054921-1 3.292671-1 3.548134-1 2.215804-1 4.073803-1 1.548179-1 4.623810-1 1.122526-1 5.188000-1 8.439886-2 5.821032-1 6.393657-2 6.456542-1 5.013943-2 7.161434-1 3.958274-2 8.000000-1 3.097703-2 8.810489-1 2.515757-2 9.660509-1 2.076894-2 1.083927+0 1.650089-2 1.230269+0 1.290441-2 1.380384+0 1.039988-2 1.548817+0 8.440810-3 1.757924+0 6.761982-3 2.000000+0 5.437703-3 2.264644+0 4.440530-3 2.570396+0 3.638390-3 2.951209+0 2.950175-3 3.388442+0 2.409842-3 3.935501+0 1.949762-3 4.623810+0 1.563159-3 5.432503+0 1.262448-3 6.531306+0 9.968824-4 7.943282+0 7.818838-4 9.772372+0 6.093537-4 1.230269+1 4.656863-4 1.500000+1 3.716300-4 1.927525+1 2.809538-4 2.660725+1 1.979115-4 3.801894+1 1.354044-4 5.888437+1 8.578002-5 9.772372+1 5.096052-5 1.949845+2 2.526483-5 3.890451+2 1.259684-5 1.548817+3 3.151598-6 1.000000+5 4.874000-8 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.196400-3 2.282000-4 1.000000+5 2.282000-4 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.196400-3 9.721000-7 1.000000+5 9.721000-7 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.196400-3 9.672279-4 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.059500-3 1.044400+5 1.079000-3 1.031563+5 1.165000-3 9.668700+4 1.244515-3 9.055058+4 1.333521-3 8.350325+4 1.450000-3 7.518080+4 1.584893-3 6.670082+4 1.717908-3 5.937239+4 1.862087-3 5.244625+4 2.041738-3 4.505623+4 2.264644-3 3.778451+4 2.426610-3 3.340812+4 2.722701-3 2.694685+4 3.000000-3 2.235240+4 3.311311-3 1.832727+4 3.715352-3 1.444536+4 4.120975-3 1.156460+4 4.623810-3 8.973156+3 5.188000-3 6.903419+3 5.754399-3 5.420514+3 6.531306-3 4.000366+3 7.328245-3 3.012588+3 8.222426-3 2.254515+3 9.332543-3 1.626791+3 1.071519-2 1.129811+3 1.230269-2 7.779094+2 1.412538-2 5.311511+2 1.621810-2 3.597858+2 1.862087-2 2.418611+2 2.150000-2 1.587768+2 2.500000-2 1.013356+2 2.917427-2 6.348720+1 3.427678-2 3.867532+1 4.073803-2 2.257344+1 4.897788-2 1.261283+1 6.095369-2 6.266905+0 8.128305-2 2.474438+0 1.318257-1 5.164242-1 1.659587-1 2.465643-1 1.972423-1 1.425762-1 2.426610-1 7.481124-2 2.786121-1 4.901437-2 3.126079-1 3.467775-2 3.548134-1 2.387843-2 4.000000-1 1.689976-2 4.466836-1 1.237574-2 5.000000-1 9.070375-3 5.559043-1 6.824774-3 6.165950-1 5.206229-3 6.839117-1 4.002099-3 7.585776-1 3.100022-3 8.609938-1 2.285323-3 9.225714-1 1.946509-3 9.772372-1 1.712185-3 1.047129+0 1.479103-3 1.135011+0 1.257282-3 1.230269+0 1.076584-3 1.348963+0 9.082578-4 1.621810+0 6.549393-4 1.840772+0 5.259903-4 2.065380+0 4.337797-4 2.344229+0 3.535579-4 2.660725+0 2.902416-4 3.054921+0 2.357929-4 3.548134+0 1.897920-4 4.168694+0 1.514495-4 4.897788+0 1.217373-4 5.821032+0 9.711277-5 7.000000+0 7.688300-5 8.511380+0 6.047942-5 1.059254+1 4.661761-5 1.380384+1 3.433158-5 1.883649+1 2.424195-5 2.630268+1 1.685624-5 3.758374+1 1.153040-5 5.754399+1 7.390461-6 9.549926+1 4.389151-6 1.905461+2 2.175617-6 3.801894+2 1.084602-6 1.513561+3 2.713236-7 1.000000+5 4.100300-9 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.059500-3 1.850500-4 1.000000+5 1.850500-4 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.059500-3 8.114900-7 1.000000+5 8.114900-7 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.059500-3 8.736385-4 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 9.906800-4 2.687429+5 1.047129-3 2.470921+5 1.070000-3 2.439790+5 1.100000-3 2.372612+5 1.135011-3 2.285932+5 1.174898-3 2.182056+5 1.333521-3 1.829912+5 1.479108-3 1.570473+5 1.603245-3 1.384356+5 1.737801-3 1.211877+5 1.927525-3 1.010550+5 2.150000-3 8.301720+4 2.317395-3 7.203946+4 2.660725-3 5.490448+4 2.917427-3 4.550247+4 3.311311-3 3.481850+4 3.650000-3 2.815852+4 4.150000-3 2.110576+4 4.623810-3 1.642959+4 5.188000-3 1.249953+4 5.888437-3 9.172532+3 6.531306-3 7.075948+3 7.328245-3 5.271148+3 8.413951-3 3.669319+3 9.660509-3 2.531043+3 1.096478-2 1.786575+3 1.244515-2 1.251855+3 1.412538-2 8.709623+2 1.603245-2 6.017634+2 1.840772-2 3.989911+2 2.113489-2 2.625318+2 2.426610-2 1.715270+2 2.818383-2 1.073510+2 3.311311-2 6.428189+1 3.890451-2 3.817569+1 4.623810-2 2.167384+1 5.559043-2 1.175724+1 6.918310-2 5.640262+0 9.225714-2 2.125915+0 1.380384-1 5.405853-1 1.678804-1 2.796841-1 1.972423-1 1.636674-1 2.290868-1 1.001944-1 2.600160-1 6.661238-2 2.917427-1 4.626616-2 3.273407-1 3.236217-2 3.630781-1 2.362390-2 4.027170-1 1.737337-2 4.415705-1 1.331372-2 4.841724-1 1.026975-2 5.308844-1 7.975711-3 5.821032-1 6.237590-3 6.382635-1 4.914031-3 6.998420-1 3.900083-3 7.673615-1 3.118347-3 8.511380-1 2.441280-3 9.120108-1 2.085595-3 9.772372-1 1.793860-3 1.059254+0 1.518539-3 1.161449+0 1.264772-3 1.273503+0 1.061059-3 1.412538+0 8.778867-4 1.678804+0 6.465369-4 1.905461+0 5.203254-4 2.162719+0 4.220364-4 2.454709+0 3.449050-4 2.818383+0 2.789410-4 3.235937+0 2.273137-4 3.758374+0 1.835064-4 4.415704+0 1.468145-4 5.188000+0 1.183204-4 6.165950+0 9.462566-5 7.413102+0 7.510527-5 9.120108+0 5.837975-5 1.135011+1 4.511067-5 1.428894+1 3.463185-5 1.905461+1 2.510796-5 2.630268+1 1.768090-5 3.758374+1 1.209414-5 5.754399+1 7.751973-6 9.549926+1 4.603824-6 1.905461+2 2.282006-6 3.801894+2 1.137640-6 1.513561+3 2.845935-7 1.000000+5 4.300900-9 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 9.906800-4 1.840800-4 1.000000+5 1.840800-4 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 9.906800-4 6.950500-7 1.000000+5 6.950500-7 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 9.906800-4 8.059050-4 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 7.477000-4 1.631100+6 7.507500-4 1.634015+6 7.539000-4 1.624172+6 7.573000-4 1.600954+6 7.608000-4 1.565916+6 7.650000-4 1.512720+6 7.673615-4 1.478673+6 7.700000-4 1.422796+6 7.762471-4 1.293828+6 7.790000-4 1.246436+6 7.820000-4 1.203268+6 7.852356-4 1.165631+6 7.890000-4 1.131384+6 7.943282-4 1.094482+6 8.050000-4 1.038568+6 8.240000-4 9.548280+5 8.350000-4 9.162800+5 8.470000-4 8.825960+5 9.015711-4 7.629221+5 9.772372-4 6.388819+5 1.047129-3 5.452236+5 1.135011-3 4.495074+5 1.216186-3 3.789540+5 1.318257-3 3.085038+5 1.428894-3 2.495931+5 1.584893-3 1.889462+5 1.717908-3 1.509167+5 1.972423-3 1.017904+5 2.162719-3 7.769910+4 2.483133-3 5.140933+4 2.754229-3 3.741604+4 3.090295-3 2.613608+4 3.500000-3 1.757048+4 3.900000-3 1.236556+4 4.466836-3 7.887926+3 5.069907-3 5.140596+3 5.688529-3 3.460549+3 6.456542-3 2.223575+3 7.413102-3 1.361146+3 8.511380-3 8.261677+2 9.800000-3 4.921000+2 1.122018-2 2.968737+2 1.288250-2 1.758233+2 1.479108-2 1.033687+2 1.717908-2 5.769742+1 2.000000-2 3.166496+1 2.344229-2 1.680075+1 2.818383-2 7.989672+0 3.388442-2 3.770612+0 4.265795-2 1.462805+0 7.943282-2 1.118427-1 1.000000-1 4.345189-2 1.202264-1 2.053590-2 1.412538-1 1.073709-2 1.640590-1 5.924359-3 1.883649-1 3.447904-3 2.137962-1 2.114337-3 2.398833-1 1.364609-3 2.691535-1 8.871598-4 3.000060-1 5.955553-4 3.311311-1 4.173824-4 3.672823-1 2.894731-4 4.073803-1 2.023103-4 4.466836-1 1.481143-4 4.897788-1 1.092083-4 5.308844-1 8.420930-5 5.821032-1 6.300904-5 6.456542-1 4.580678-5 7.079458-1 3.474166-5 7.762471-1 2.654118-5 8.035261-1 2.402555-5 8.511380-1 2.028689-5 9.015711-1 1.724389-5 9.440609-1 1.523934-5 9.885531-1 1.356370-5 1.035142+0 1.217144-5 1.083927+0 1.100108-5 1.135011+0 1.000484-5 1.202264+0 8.950133-6 1.303167+0 7.732452-6 1.428894+0 6.602329-6 1.513561+0 5.993611-6 1.840772+0 4.261543-6 2.044000+0 3.572897-6 2.317395+0 2.915489-6 2.630268+0 2.391869-6 3.019952+0 1.941927-6 3.507519+0 1.562144-6 4.120975+0 1.245885-6 4.841724+0 1.000923-6 5.754399+0 7.980323-7 6.918310+0 6.316757-7 8.413951+0 4.965539-7 1.035142+1 3.877926-7 1.333521+1 2.891390-7 1.819701+1 2.039073-7 2.600160+1 1.381809-7 3.715352+1 9.449645-8 5.688529+1 6.055566-8 9.549926+1 3.553704-8 1.905461+2 1.761512-8 3.801894+2 8.781239-9 1.513561+3 2.196814-9 1.000000+5 3.31990-11 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 7.477000-4 1.115400-4 1.000000+5 1.115400-4 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 7.477000-4 3.474700-7 1.000000+5 3.474700-7 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 7.477000-4 6.358125-4 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 7.329800-4 2.601200+6 7.356500-4 2.600725+6 7.357000-4 2.571847+6 7.465000-4 2.379189+6 7.515000-4 2.310887+6 7.540000-4 2.247186+6 7.615000-4 1.999986+6 7.650000-4 1.906668+6 7.680000-4 1.841610+6 7.710000-4 1.788828+6 7.740000-4 1.745898+6 7.780000-4 1.699890+6 7.852356-4 1.634989+6 8.050000-4 1.491564+6 8.150000-4 1.431402+6 8.240000-4 1.386420+6 8.413951-4 1.316257+6 8.912509-4 1.150237+6 9.549926-4 9.865563+5 1.030000-3 8.280420+5 1.122018-3 6.733491+5 1.230269-3 5.343006+5 1.350000-3 4.196934+5 1.531087-3 2.993681+5 1.650000-3 2.431578+5 1.905461-3 1.611284+5 2.070000-3 1.264242+5 2.371374-3 8.412796+4 2.630268-3 6.124379+4 2.951209-3 4.274931+4 3.311311-3 2.961504+4 3.722400-3 2.024516+4 4.216965-3 1.338635+4 4.786301-3 8.722704+3 5.370318-3 5.868182+3 6.025596-3 3.923167+3 6.839116-3 2.501453+3 7.852356-3 1.518187+3 9.015711-3 9.134401+2 1.035142-2 5.448726+2 1.174898-2 3.368051+2 1.333521-2 2.067791+2 1.513561-2 1.261353+2 1.737801-2 7.307380+1 2.018366-2 4.014001+1 2.344229-2 2.189391+1 2.786121-2 1.079645+1 3.349654-2 5.038450+0 4.000000-2 2.401314+0 5.370318-2 6.948468-1 8.128305-2 1.210379-1 1.000000-1 5.081377-2 1.188502-1 2.482504-2 1.380384-1 1.344217-2 1.566751-1 8.053320-3 1.778279-1 4.860079-3 2.000000-1 3.063631-3 2.238721-1 1.979588-3 2.483133-1 1.335146-3 2.722701-1 9.474184-4 2.985383-1 6.773552-4 3.235937-1 5.085839-4 3.507519-1 3.843160-4 3.845918-1 2.811302-4 4.216965-1 2.071905-4 4.623810-1 1.538561-4 5.069907-1 1.151386-4 5.495409-1 8.988827-5 5.888437-1 7.314102-5 6.237348-1 6.194038-5 6.683439-1 5.106375-5 7.244360-1 4.107775-5 8.035261-1 3.125798-5 8.609938-1 2.622927-5 9.120108-1 2.280003-5 9.660509-1 1.994723-5 1.023293+0 1.757951-5 1.096478+0 1.523117-5 1.174898+0 1.329128-5 1.273503+0 1.142022-5 1.396368+0 9.669213-6 1.737801+0 6.585767-6 1.972423+0 5.309318-6 2.238721+0 4.315772-6 2.540973+0 3.534104-6 2.917427+0 2.863976-6 3.349654+0 2.338095-6 3.890451+0 1.890672-6 4.570882+0 1.515020-6 5.370318+0 1.222936-6 6.456542+0 9.652076-7 7.852356+0 7.566928-7 9.660509+0 5.894677-7 1.216186+1 4.503299-7 1.479108+1 3.602539-7 1.927525+1 2.681006-7 2.660725+1 1.888592-7 3.801894+1 1.292126-7 5.821032+1 8.283644-8 9.660509+1 4.920342-8 1.927525+2 2.439194-8 3.845918+2 1.216098-8 1.531087+3 3.042270-9 1.000000+5 4.65100-11 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 7.329800-4 1.124200-4 1.000000+5 1.124200-4 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 7.329800-4 6.688100-9 1.000000+5 6.688100-9 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 7.329800-4 6.205533-4 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 2.318600-4 1.258792+5 2.332000-4 1.321154+5 2.344229-4 1.367747+5 2.355000-4 1.400384+5 2.368000-4 1.431478+5 2.383000-4 1.457264+5 2.400000-4 1.476416+5 2.418000-4 1.487698+5 2.440000-4 1.491952+5 2.470000-4 1.486498+5 3.000000-4 1.287430+5 3.162278-4 1.233870+5 3.715352-4 1.061103+5 4.168694-4 9.409704+4 4.500000-4 8.622680+4 5.128614-4 7.342656+4 5.688529-4 6.426763+4 6.382635-4 5.491511+4 7.244360-4 4.589908+4 8.317638-4 3.739077+4 9.440609-4 3.079239+4 1.109175-3 2.383887+4 1.318257-3 1.795784+4 1.570000-3 1.336680+4 1.905461-3 9.554391+3 2.317395-3 6.746957+3 2.800000-3 4.786260+3 3.427678-3 3.291386+3 4.168694-3 2.274413+3 5.011872-3 1.594924+3 6.025596-3 1.110306+3 7.244360-3 7.668571+2 8.609938-3 5.380301+2 1.035142-2 3.658907+2 1.230269-2 2.530439+2 1.462177-2 1.737068+2 1.737801-2 1.183176+2 2.041738-2 8.208378+1 2.398833-2 5.653410+1 2.851018-2 3.761516+1 3.349654-2 2.552377+1 3.935501-2 1.719560+1 4.677351-2 1.117640+1 5.495409-2 7.421796+0 6.606934-2 4.611506+0 8.000000-2 2.790605+0 9.772372-2 1.634694+0 1.258925-1 8.235262-1 2.290868-1 1.599844-1 2.818383-1 9.130258-2 3.349654-1 5.762113-2 3.845918-1 4.014341-2 4.365158-1 2.901927-2 4.897788-1 2.174788-2 5.495409-1 1.641481-2 6.165950-1 1.248431-2 6.839117-1 9.826771-3 7.585776-1 7.786925-3 8.511380-1 6.057385-3 9.332543-1 4.987376-3 1.023293+0 4.137164-3 1.161449+0 3.224836-3 1.303167+0 2.588891-3 1.462177+0 2.093910-3 1.640590+0 1.705285-3 1.862087+0 1.370992-3 2.113489+0 1.110672-3 2.398833+0 9.065131-4 2.754229+0 7.321583-4 3.162278+0 5.959037-4 3.672823+0 4.805011-4 4.315191+0 3.840388-4 5.069907+0 3.091850-4 6.025596+0 2.470204-4 7.244360+0 1.958835-4 8.912509+0 1.521229-4 1.109175+1 1.174483-4 1.412538+1 8.893253-5 1.905461+1 6.364464-5 2.630268+1 4.481921-5 3.758374+1 3.065711-5 5.754399+1 1.964985-5 9.549926+1 1.166988-5 1.905461+2 5.784562-6 3.801894+2 2.883685-6 1.513561+3 7.213997-7 1.000000+5 1.090200-8 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 2.318600-4 9.927800-5 1.000000+5 9.927800-5 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.318600-4 9.538400-9 1.000000+5 9.538400-9 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.318600-4 1.325725-4 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.819700-4 1.412888+5 1.835000-4 1.381098+5 1.910000-4 1.258784+5 1.940000-4 1.220724+5 1.972423-4 1.189083+5 2.000000-4 1.168592+5 2.041738-4 1.146425+5 2.089296-4 1.130330+5 2.162719-4 1.115988+5 2.398833-4 1.089998+5 2.818383-4 1.054260+5 3.054921-4 1.030576+5 3.311311-4 1.000929+5 3.548134-4 9.694412+4 3.801894-4 9.324906+4 4.120975-4 8.850076+4 4.415704-4 8.413417+4 4.731513-4 7.948528+4 5.188000-4 7.308471+4 5.650000-4 6.715000+4 6.165950-4 6.109854+4 6.839116-4 5.417404+4 7.500000-4 4.832440+4 8.317638-4 4.216902+4 9.225714-4 3.652388+4 1.035142-3 3.086810+4 1.150000-3 2.627700+4 1.288250-3 2.192330+4 1.450000-3 1.801336+4 1.621810-3 1.485299+4 1.840772-3 1.184779+4 2.070000-3 9.539760+3 2.317395-3 7.696055+3 2.600160-3 6.144299+3 2.951209-3 4.761486+3 3.349654-3 3.662131+3 3.758374-3 2.865648+3 4.216965-3 2.228144+3 4.731513-3 1.721220+3 5.308844-3 1.320930+3 5.956621-3 1.007217+3 6.760830-3 7.417153+2 7.673615-3 5.421367+2 8.709636-3 3.932775+2 1.000000-2 2.748880+2 1.135011-2 1.965210+2 1.303167-2 1.352223+2 1.496236-2 9.231212+1 1.717908-2 6.252851+1 1.972423-2 4.204414+1 2.264644-2 2.806913+1 2.630268-2 1.798410+1 3.054921-2 1.143987+1 3.589219-2 6.975231+0 4.265795-2 4.074931+0 5.128614-2 2.280051+0 6.456542-2 1.093381+0 9.120108-2 3.593638-1 1.364583-1 9.782639-2 1.678804-1 5.041135-2 2.018366-1 2.816547-2 2.344229-1 1.766358-2 2.691535-1 1.156016-2 3.054921-1 7.890536-3 3.467369-1 5.425575-3 3.890451-1 3.886793-3 4.365158-1 2.804696-3 4.841724-1 2.104879-3 5.370318-1 1.590215-3 5.956621-1 1.209919-3 6.606935-1 9.277856-4 7.328245-1 7.169542-4 8.609938-1 4.857302-4 9.225714-1 4.137331-4 9.772372-1 3.641078-4 1.047129+0 3.148952-4 1.135011+0 2.677358-4 1.230269+0 2.291278-4 1.348963+0 1.932528-4 1.603245+0 1.421761-4 1.840772+0 1.118936-4 2.065380+0 9.227794-5 2.344229+0 7.521243-5 2.660725+0 6.174350-5 3.054921+0 5.016091-5 3.548134+0 4.037516-5 4.168694+0 3.221844-5 4.897788+0 2.589748-5 5.821032+0 2.065854-5 7.000000+0 1.635500-5 8.609938+0 1.268786-5 1.071519+1 9.784011-6 1.380384+1 7.303368-6 1.883649+1 5.157026-6 2.630268+1 3.585932-6 3.758374+1 2.452818-6 5.754399+1 1.572159-6 9.660509+1 9.227906-7 1.927525+2 4.574468-7 3.845918+2 2.280624-7 1.531087+3 5.705696-8 1.000000+5 8.72260-10 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.819700-4 8.735500-5 1.000000+5 8.735500-5 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.819700-4 1.299900-8 1.000000+5 1.299900-8 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.819700-4 9.460200-5 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.677600-4 4.270913+5 1.744000-4 3.786000+5 1.762000-4 3.700296+5 1.785000-4 3.616584+5 1.816100-4 3.532672+5 1.850000-4 3.468980+5 1.890000-4 3.419436+5 1.950000-4 3.374612+5 2.187762-4 3.257673+5 2.511886-4 3.093091+5 2.722701-4 2.980607+5 2.951209-4 2.851488+5 3.200000-4 2.709700+5 3.430000-4 2.577700+5 3.715352-4 2.415565+5 4.073803-4 2.224256+5 4.415704-4 2.055546+5 4.841724-4 1.862633+5 5.308844-4 1.676542+5 5.821032-4 1.498901+5 6.456542-4 1.310700+5 7.161434-4 1.138080+5 8.000000-4 9.704720+4 8.912509-4 8.249954+4 1.000000-3 6.883320+4 1.122018-3 5.701159+4 1.273503-3 4.595258+4 1.428894-3 3.749692+4 1.603245-3 3.039838+4 1.819701-3 2.395356+4 2.089296-3 1.830840+4 2.400000-3 1.385684+4 2.754229-3 1.041556+4 3.126079-3 7.949634+3 3.548134-3 6.022585+3 4.000000-3 4.598520+3 4.500000-3 3.504292+3 5.069907-3 2.643269+3 5.688529-3 1.999766+3 6.456542-3 1.459906+3 7.328245-3 1.057756+3 8.317638-3 7.605209+2 9.549926-3 5.261620+2 1.083927-2 3.726317+2 1.230269-2 2.620032+2 1.396368-2 1.829327+2 1.584893-2 1.268537+2 1.819701-2 8.444368+1 2.089296-2 5.578183+1 2.398833-2 3.657459+1 2.786121-2 2.297141+1 3.235937-2 1.431748+1 3.801894-2 8.537339+0 4.466836-2 5.053121+0 5.308844-2 2.859968+0 6.456542-2 1.488797+0 8.511380-2 5.861420-1 1.396368-1 1.093830-1 1.698244-1 5.669677-2 2.000000-1 3.296780-2 2.290868-1 2.113756-2 2.600160-1 1.405946-2 2.917427-1 9.770335-3 3.273407-1 6.840633-3 3.630781-1 4.998000-3 4.027170-1 3.678031-3 4.466836-1 2.727857-3 4.897788-1 2.105960-3 5.370318-1 1.637190-3 5.888437-1 1.281859-3 6.456542-1 1.011279-3 7.079458-1 8.037605-4 7.762471-1 6.434657-4 8.609938-1 5.039367-4 9.225714-1 4.307589-4 9.885531-1 3.708072-4 1.071519+0 3.141518-4 1.174898+0 2.618718-4 1.288250+0 2.199169-4 1.428894+0 1.821227-4 1.698244+0 1.342280-4 1.927525+0 1.080938-4 2.187762+0 8.773074-5 2.483133+0 7.174311-5 2.851018+0 5.806221-5 3.273407+0 4.734483-5 3.801894+0 3.824217-5 4.466836+0 3.061268-5 5.248075+0 2.468469-5 6.237348+0 1.974969-5 7.498942+0 1.568289-5 9.225714+0 1.219586-5 1.148154+1 9.427567-6 1.428894+1 7.334883-6 1.905461+1 5.317732-6 2.630268+1 3.744840-6 3.758374+1 2.561544-6 5.688529+1 1.661584-6 9.549926+1 9.750843-7 1.905461+2 4.833275-7 3.801894+2 2.409371-7 1.513561+3 6.027635-8 1.000000+5 9.10920-10 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.677600-4 8.847800-5 1.000000+5 8.847800-5 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.677600-4 4.222700-9 1.000000+5 4.222700-9 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.677600-4 7.927778-5 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 8.561000-5 1.133472+6 8.565000-5 1.175288+6 8.579000-5 1.349412+6 8.590000-5 1.511552+6 8.605000-5 1.776880+6 8.620000-5 2.104296+6 8.635000-5 2.511672+6 8.646000-5 2.872088+6 8.661000-5 3.473008+6 8.676000-5 4.232920+6 8.687000-5 4.918400+6 8.702000-5 6.083200+6 8.706000-5 6.526918+6 8.762000-5 1.055238+7 8.766000-5 1.093263+7 8.873000-5 1.554017+7 8.998000-5 1.592014+7 9.145000-5 1.408572+7 9.335000-5 1.047048+7 9.720000-5 6.353707+6 9.760000-5 6.083400+6 9.850000-5 5.632320+6 1.000000-4 5.002160+6 1.040000-4 3.707092+6 1.061300-4 3.155811+6 1.090000-4 2.532604+6 1.135011-4 1.794617+6 1.220000-4 9.670840+5 1.280000-4 6.452800+5 1.326900-4 4.793642+5 1.364583-4 3.830904+5 1.390000-4 3.324228+5 1.415000-4 2.917256+5 1.435000-4 2.647672+5 1.450000-4 2.474104+5 1.465000-4 2.322512+5 1.485000-4 2.151020+5 1.500000-4 2.042992+5 1.515000-4 1.950812+5 1.531087-4 1.867809+5 1.548817-4 1.793376+5 1.566751-4 1.734272+5 1.585000-4 1.688900+5 1.603245-4 1.656667+5 1.621810-4 1.635727+5 1.643000-4 1.624576+5 1.660000-4 1.624216+5 1.680000-4 1.632268+5 1.705000-4 1.653448+5 1.730000-4 1.684936+5 1.760000-4 1.733796+5 1.800000-4 1.813464+5 1.862087-4 1.959331+5 1.990000-4 2.294576+5 2.065380-4 2.489265+5 2.120000-4 2.622144+5 2.190000-4 2.779200+5 2.264644-4 2.928843+5 2.344229-4 3.068093+5 2.430000-4 3.195656+5 2.511886-4 3.296690+5 2.600160-4 3.384063+5 2.691535-4 3.452538+5 2.800000-4 3.508052+5 2.917427-4 3.539657+5 3.050000-4 3.546056+5 3.198895-4 3.524044+5 3.350000-4 3.477640+5 3.507519-4 3.410247+5 3.700000-4 3.309172+5 3.890451-4 3.194877+5 4.100000-4 3.058492+5 4.365158-4 2.879637+5 4.623810-4 2.706920+5 4.897788-4 2.529241+5 5.188000-4 2.348543+5 5.559043-4 2.133276+5 5.956621-4 1.924446+5 6.382635-4 1.724368+5 6.850000-4 1.530944+5 7.413102-4 1.330238+5 8.035261-4 1.144381+5 8.709636-4 9.769211+4 9.500000-4 8.180080+4 1.047129-3 6.643469+4 1.150000-3 5.393280+4 1.244515-3 4.498266+4 1.380384-3 3.518069+4 1.531087-3 2.728220+4 1.698244-3 2.099166+4 1.905461-3 1.554933+4 2.137962-3 1.141257+4 2.371374-3 8.574398+3 2.660725-3 6.189827+3 2.951209-3 4.581628+3 3.273407-3 3.368499+3 3.630781-3 2.460061+3 4.027170-3 1.784578+3 4.466836-3 1.285853+3 5.000000-3 8.934200+2 5.623413-3 6.063395+2 6.309573-3 4.116340+2 7.079458-3 2.774700+2 8.000000-3 1.811452+2 9.015711-3 1.185248+2 1.023293-2 7.507275+1 1.161449-2 4.719738+1 1.318257-2 2.945987+1 1.500000-2 1.808776+1 1.717908-2 1.075390+1 1.995262-2 6.010532+0 2.317395-2 3.333788+0 2.722701-2 1.753897+0 3.235937-2 8.747861-1 3.935501-2 3.945911-1 5.248075-2 1.211343-1 8.317638-2 1.822680-2 1.035142-1 7.457069-3 1.244515-1 3.538745-3 1.462177-1 1.856986-3 1.678804-1 1.075706-3 1.927525-1 6.277198-4 2.187762-1 3.858262-4 2.454709-1 2.495636-4 2.754229-1 1.626305-4 3.054921-1 1.114220-4 3.388442-1 7.694558-5 3.758374-1 5.351062-5 4.216965-1 3.602229-5 4.623810-1 2.641337-5 5.069907-1 1.949758-5 5.559043-1 1.449868-5 6.025596-1 1.125857-5 6.531306-1 8.800328-6 7.079458-1 6.921520-6 7.762471-1 5.299738-6 8.609938-1 3.931968-6 9.120108-1 3.352462-6 9.549926-1 2.969416-6 1.000000+0 2.647900-6 1.047129+0 2.379502-6 1.096478+0 2.154162-6 1.148154+0 1.962456-6 1.216186+0 1.759181-6 1.318257+0 1.521994-6 1.513561+0 1.203080-6 1.840772+0 8.554175-7 2.044000+0 7.172000-7 2.317395+0 5.852272-7 2.630268+0 4.801227-7 3.019952+0 3.898116-7 3.507519+0 3.135811-7 4.120975+0 2.500977-7 4.841724+0 2.009218-7 5.754399+0 1.601947-7 6.918310+0 1.268040-7 8.413951+0 9.967419-8 1.035142+1 7.784270-8 1.333521+1 5.804012-8 1.819701+1 4.093160-8 2.600160+1 2.773717-8 3.715352+1 1.896857-8 5.688529+1 1.215559-8 9.440609+1 7.217877-9 1.883649+2 3.577387-9 3.758374+2 1.783199-9 1.496236+3 4.46080-10 1.000000+5 6.66410-12 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 8.561000-5 4.433900-5 1.000000+5 4.433900-5 1 55000 7 7 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 8.561000-5 1.058600-8 1.000000+5 1.058600-8 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 8.561000-5 4.126041-5 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 8.324000-5 2.397222+6 8.433300-5 4.508947+6 8.440000-5 4.617851+6 8.732000-5 9.160477+6 9.100000-5 1.116217+7 9.160000-5 1.082605+7 9.300000-5 1.040621+7 9.420000-5 1.000551+7 9.500000-5 9.538953+6 9.660509-5 8.288252+6 9.850000-5 7.115880+6 1.011579-4 5.792150+6 1.035142-4 4.820757+6 1.060000-4 3.961650+6 1.096478-4 2.967490+6 1.205000-4 1.309494+6 1.260000-4 8.945820+5 1.303167-4 6.753166+5 1.333521-4 5.607078+5 1.358000-4 4.869246+5 1.380384-4 4.315939+5 1.400000-4 3.912828+5 1.415000-4 3.649818+5 1.435000-4 3.353076+5 1.450000-4 3.166626+5 1.465000-4 3.007788+5 1.482800-4 2.851412+5 1.500000-4 2.729808+5 1.515000-4 2.644824+5 1.531087-4 2.573129+5 1.548817-4 2.514890+5 1.566751-4 2.475539+5 1.584893-4 2.453292+5 1.606600-4 2.446792+5 1.627000-4 2.457870+5 1.650000-4 2.487276+5 1.678804-4 2.545053+5 1.705000-4 2.613984+5 1.740000-4 2.724978+5 1.780000-4 2.871252+5 1.930000-4 3.500310+5 2.000000-4 3.794538+5 2.065380-4 4.053347+5 2.120000-4 4.253544+5 2.190000-4 4.485978+5 2.264644-4 4.702940+5 2.344229-4 4.900154+5 2.430000-4 5.076138+5 2.511886-4 5.211868+5 2.600160-4 5.325555+5 2.691535-4 5.409996+5 2.800000-4 5.471688+5 2.917427-4 5.496795+5 3.050000-4 5.481600+5 3.200000-4 5.421792+5 3.350000-4 5.329986+5 3.507519-4 5.209092+5 3.700000-4 5.035638+5 3.890451-4 4.844136+5 4.120975-4 4.599148+5 4.365158-4 4.336966+5 4.623810-4 4.064119+5 4.897788-4 3.785652+5 5.188000-4 3.506390+5 5.559043-4 3.175229+5 6.000000-4 2.823216+5 6.456542-4 2.503638+5 7.000000-4 2.174124+5 7.585776-4 1.875990+5 8.222426-4 1.605557+5 8.912509-4 1.364715+5 9.772372-4 1.124574+5 1.070000-3 9.216600+4 1.161449-3 7.654857+4 1.288250-3 6.003178+4 1.428894-3 4.667553+4 1.584893-3 3.599323+4 1.737801-3 2.837916+4 1.905461-3 2.224600+4 2.089296-3 1.733758+4 2.290868-3 1.343592+4 2.540973-3 1.001838+4 2.818383-3 7.417250+3 3.126079-3 5.453375+3 3.467369-3 3.981760+3 3.845918-3 2.887478+3 4.265795-3 2.079776+3 4.731513-3 1.488107+3 5.308844-3 1.018185+3 5.956621-3 6.912436+2 6.683439-3 4.656345+2 7.498942-3 3.114077+2 8.511380-3 1.984978+2 9.660509-3 1.255189+2 1.096478-2 7.875312+1 1.244515-2 4.904111+1 1.412538-2 3.031648+1 1.603245-2 1.860614+1 1.840772-2 1.083921+1 2.113489-2 6.268289+0 2.454709-2 3.437089+0 2.884032-2 1.785597+0 3.388442-2 9.209849-1 4.120975-2 4.081488-1 8.128305-2 2.362302-2 1.011580-1 9.494609-3 1.202264-1 4.653089-3 1.396368-1 2.526259-3 1.603245-1 1.448298-3 1.819701-1 8.762883-4 2.041738-1 5.590495-4 2.264644-1 3.755391-4 2.511886-1 2.540733-4 2.754229-1 1.807073-4 3.019952-1 1.293946-4 3.311311-1 9.332926-5 3.589219-1 7.056979-5 3.890451-1 5.369692-5 4.216965-1 4.113633-5 4.570882-1 3.173192-5 4.954502-1 2.464852-5 5.370318-1 1.928757-5 5.821032-1 1.519879-5 6.309573-1 1.205744-5 6.839117-1 9.629319-6 7.413102-1 7.742201-6 8.511380-1 5.388901-6 9.015711-1 4.660491-6 9.549926-1 4.057945-6 1.000000+0 3.653600-6 1.059254+0 3.227902-6 1.135011+0 2.803998-6 1.216186+0 2.453565-6 1.318257+0 2.115225-6 1.462177+0 1.762342-6 1.798871+0 1.227342-6 2.018366+0 1.010465-6 2.290868+0 8.224303-7 2.600160+0 6.743029-7 2.985383+0 5.471332-7 3.467369+0 4.398642-7 4.073803+0 3.506224-7 4.786301+0 2.815313-7 5.623413+0 2.277131-7 6.760830+0 1.800695-7 8.222427+0 1.414338-7 1.011579+1 1.103603-7 1.303167+1 8.222505-8 1.717908+1 6.021297-8 2.162719+1 4.674815-8 2.754229+1 3.598048-8 3.935501+1 2.463425-8 6.095369+1 1.561511-8 1.011579+2 9.281240-9 2.018366+2 4.602884-9 4.027170+2 2.295423-9 1.603245+3 5.74375-10 1.000000+5 9.19520-12 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 8.324000-5 4.509000-5 1.000000+5 4.509000-5 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 8.324000-5 3.815000-5 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 3.097000-5 3.199300+4 3.126079-5 3.264338+4 3.170000-5 3.392220+4 3.210000-5 3.535220+4 3.250000-5 3.700600+4 3.311311-5 3.994373+4 3.548134-5 5.413086+4 3.650000-5 6.094340+4 3.730000-5 6.636780+4 3.830000-5 7.310380+4 3.920000-5 7.902440+4 4.000000-5 8.410940+4 4.110000-5 9.075860+4 4.220000-5 9.695800+4 4.330000-5 1.026716+5 4.450000-5 1.083378+5 4.570882-5 1.134564+5 4.720000-5 1.189760+5 4.850000-5 1.231270+5 5.011872-5 1.274918+5 5.188000-5 1.313284+5 5.400000-5 1.348538+5 5.623413-5 1.374910+5 5.888437-5 1.394679+5 6.165950-5 1.404874+5 6.500000-5 1.406282+5 6.900000-5 1.396522+5 7.328245-5 1.376407+5 7.800000-5 1.346346+5 8.317638-5 1.306812+5 8.912509-5 1.255917+5 9.549926-5 1.197956+5 1.023293-4 1.134596+5 1.109175-4 1.056546+5 1.216186-4 9.657323+4 1.364583-4 8.558166+4 1.548817-4 7.437513+4 1.737801-4 6.502261+4 1.950000-4 5.639460+4 2.264644-4 4.645497+4 2.660725-4 3.744192+4 3.090295-4 3.041972+4 3.845918-4 2.224854+4 4.518559-4 1.754671+4 5.500000-4 1.302962+4 6.683439-4 9.611282+3 7.852356-4 7.421986+3 9.332543-4 5.585648+3 1.122018-3 4.092758+3 1.364583-3 2.918765+3 1.698244-3 1.984019+3 2.113489-3 1.338073+3 2.630268-3 8.952665+2 3.273407-3 5.943779+2 4.073803-3 3.914868+2 5.000000-3 2.628684+2 6.025596-3 1.815932+2 7.328245-3 1.221324+2 8.912509-3 8.150221+1 1.135011-2 4.900890+1 1.348963-2 3.383439+1 1.566751-2 2.437019+1 1.840772-2 1.697764+1 2.187762-2 1.143472+1 2.570396-2 7.850105+0 3.019952-2 5.350986+0 3.548134-2 3.620766+0 4.216965-2 2.364143+0 5.011872-2 1.531548+0 5.956621-2 9.840355-1 7.161434-2 6.092277-1 8.413951-2 3.979391-1 1.035142-1 2.281375-1 1.364583-1 1.076877-1 2.454709-1 2.164607-2 2.951209-1 1.316999-2 3.467369-1 8.585693-3 4.000000-1 5.919700-3 4.518559-1 4.340614-3 5.069907-1 3.259746-3 5.688529-1 2.465926-3 6.309573-1 1.931040-3 6.998420-1 1.522289-3 7.762471-1 1.208189-3 8.709636-1 9.413963-4 9.549926-1 7.765399-4 1.059254+0 6.307190-4 1.202264+0 4.925752-4 1.333521+0 4.049197-4 1.500000+0 3.264700-4 1.698244+0 2.621384-4 1.927525+0 2.111961-4 2.187762+0 1.714491-4 2.483133+0 1.402091-4 2.851018+0 1.134650-4 3.273407+0 9.251834-5 3.801894+0 7.473047-5 4.466836+0 5.982051-5 5.248075+0 4.823636-5 6.237348+0 3.859334-5 7.498942+0 3.064525-5 9.225714+0 2.383191-5 1.148154+1 1.842201-5 1.445440+1 1.414849-5 1.905461+1 1.039163-5 2.630268+1 7.317745-6 3.758374+1 5.005609-6 5.754399+1 3.208314-6 9.660509+1 1.883133-6 1.927525+2 9.335283-7 3.845918+2 4.654046-7 1.531087+3 1.164339-7 1.000000+5 1.780000-9 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 3.097000-5 3.097000-5 1.000000+5 3.097000-5 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.097000-5 0.0 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 1.827000-5 2.549720+7 1.850000-5 2.327700+7 1.883649-5 2.056796+7 1.920000-5 1.817400+7 1.950000-5 1.652532+7 1.995262-5 1.445343+7 2.041738-5 1.273265+7 2.090000-5 1.126500+7 2.150000-5 9.777760+6 2.213095-5 8.518357+6 2.290868-5 7.280262+6 2.371374-5 6.262426+6 2.470000-5 5.278120+6 2.583000-5 4.404990+6 2.730000-5 3.549740+6 2.917427-5 2.763438+6 3.162278-5 2.056235+6 3.548134-5 1.359890+6 4.168694-5 7.691456+5 4.677351-5 5.149565+5 5.069907-5 3.914434+5 5.432503-5 3.115382+5 5.754399-5 2.592303+5 6.095369-5 2.172308+5 6.400000-5 1.881966+5 6.760830-5 1.613316+5 7.079458-5 1.426417+5 7.413102-5 1.268549+5 7.800000-5 1.122154+5 8.222426-5 9.959051+4 8.650000-5 8.945680+4 9.120108-5 8.059655+4 9.549926-5 7.407680+4 1.000000-4 6.848040+4 1.059254-4 6.255136+4 1.122018-4 5.758250+4 1.194100-4 5.306512+4 1.273503-4 4.911266+4 1.380384-4 4.492820+4 1.531087-4 4.042742+4 1.757924-4 3.543952+4 2.344229-4 2.710146+4 2.754229-4 2.317079+4 3.162278-4 2.012100+4 3.715352-4 1.692716+4 4.200000-4 1.474070+4 4.731513-4 1.279558+4 5.370318-4 1.093124+4 6.025596-4 9.409554+3 6.839116-4 7.922677+3 7.673615-4 6.727605+3 8.709636-4 5.576876+3 9.772372-4 4.669176+3 1.109175-3 3.812096+3 1.258925-3 3.089376+3 1.428894-3 2.485546+3 1.621810-3 1.985678+3 1.840772-3 1.575311+3 2.113489-3 1.214223+3 2.398833-3 9.497124+2 2.722701-3 7.376694+2 3.090295-3 5.689342+2 3.507519-3 4.356597+2 4.000000-3 3.277540+2 4.518559-3 2.499162+2 5.128614-3 1.871656+2 5.821032-3 1.390910+2 6.606934-3 1.025718+2 7.498942-3 7.508034+1 8.413951-3 5.616993+1 1.000000-2 3.603879+1 1.135011-2 2.578606+1 1.288250-2 1.831629+1 1.479108-2 1.251387+1 1.698244-2 8.485980+0 1.949845-2 5.712418+0 2.238721-2 3.817721+0 2.600160-2 2.448596+0 3.019952-2 1.559095+0 3.548134-2 9.515248-1 4.216965-2 5.563664-1 5.069907-2 3.115520-1 6.309573-2 1.551025-1 8.609938-2 5.702371-2 1.364583-1 1.289436-2 1.698244-1 6.407193-3 2.041738-1 3.581982-3 2.371374-1 2.247755-3 2.722701-1 1.471972-3 3.090295-1 1.005313-3 3.507519-1 6.916674-4 3.935501-1 4.957882-4 4.415705-1 3.579883-4 4.897788-1 2.688361-4 5.432503-1 2.032540-4 6.025596-1 1.547717-4 6.683439-1 1.187682-4 7.413102-1 9.184364-5 8.609938-1 6.399930-5 9.225714-1 5.451708-5 9.772372-1 4.798155-5 1.047129+0 4.149938-5 1.135011+0 3.528572-5 1.230269+0 3.019739-5 1.348963+0 2.546830-5 1.603245+0 1.873466-5 1.819701+0 1.503612-5 2.044000+0 1.237100-5 2.317395+0 1.009607-5 2.630268+0 8.282584-6 3.019952+0 6.723812-6 3.507519+0 5.408801-6 4.120975+0 4.313778-6 4.841724+0 3.465653-6 5.754399+0 2.763167-6 6.918310+0 2.187105-6 8.413951+0 1.719323-6 1.035142+1 1.342682-6 1.333521+1 1.001150-6 1.819701+1 7.060276-7 2.600160+1 4.784384-7 3.715352+1 3.271859-7 5.688529+1 2.096659-7 9.549926+1 1.230415-7 1.905461+2 6.099005-8 3.801894+2 3.040390-8 1.513561+3 7.606245-9 1.000000+5 1.14950-10 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 1.827000-5 1.827000-5 1.000000+5 1.827000-5 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.827000-5 0.0 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 1.643000-5 5.434560+7 1.680000-5 4.665240+7 1.710000-5 4.155880+7 1.750000-5 3.602184+7 1.780000-5 3.258872+7 1.830000-5 2.789172+7 1.870000-5 2.484164+7 1.927525-5 2.127306+7 1.995262-5 1.797526+7 2.070000-5 1.514496+7 2.150000-5 1.278616+7 2.238721-5 1.074588+7 2.350000-5 8.787280+6 2.483133-5 7.046299+6 2.650000-5 5.475000+6 2.851018-5 4.156190+6 3.090295-5 3.089769+6 3.400000-5 2.191084+6 3.715352-5 1.603138+6 4.027170-5 1.215347+6 4.315191-5 9.654183+5 4.570882-5 8.021310+5 4.800000-5 6.892440+5 5.011872-5 6.059360+5 5.248075-5 5.312478+5 5.500000-5 4.677520+5 5.754399-5 4.164729+5 6.025596-5 3.725282+5 6.309573-5 3.354617+5 6.606934-5 3.040581+5 6.918310-5 2.773207+5 7.300000-5 2.509336+5 7.673615-5 2.301488+5 8.150000-5 2.089204+5 8.609938-5 1.925543+5 9.120108-5 1.778446+5 9.800000-5 1.622684+5 1.059254-4 1.481392+5 1.161449-4 1.340620+5 1.318257-4 1.178952+5 1.862087-4 8.404177+4 2.162719-4 7.207832+4 2.511886-4 6.135826+4 2.884032-4 5.251569+4 3.311311-4 4.462572+4 3.845918-4 3.714737+4 4.315191-4 3.206763+4 4.929400-4 2.684308+4 5.559043-4 2.271889+4 6.382635-4 1.860364+4 7.244360-4 1.537704+4 8.222426-4 1.261333+4 9.332543-4 1.026816+4 1.059254-3 8.296136+3 1.205000-3 6.629534+3 1.380384-3 5.193381+3 1.584893-3 4.019281+3 1.798871-3 3.155419+3 2.065380-3 2.404856+3 2.344229-3 1.861903+3 2.660725-3 1.431737+3 3.019952-3 1.093353+3 3.427678-3 8.291339+2 3.890451-3 6.242068+2 4.415704-3 4.664012+2 5.011872-3 3.458695+2 5.688529-3 2.545602+2 6.382635-3 1.913179+2 7.244360-3 1.386955+2 8.222426-3 9.980556+1 9.332543-3 7.130756+1 1.059254-2 5.058349+1 1.202264-2 3.562984+1 1.364583-2 2.492289+1 1.548817-2 1.731389+1 1.778279-2 1.154660+1 2.041738-2 7.641224+0 2.344229-2 5.018763+0 2.722701-2 3.157747+0 3.162278-2 1.971337+0 3.715352-2 1.177205+0 4.415704-2 6.720126-1 5.188000-2 3.954605-1 6.382635-2 1.981995-1 8.317638-2 8.124952-2 1.462177-1 1.202727-2 1.757924-1 6.490910-3 2.089296-1 3.668402-3 2.398833-1 2.339709-3 2.722701-1 1.560611-3 3.054921-1 1.087713-3 3.388442-1 7.912138-4 3.758374-1 5.794817-4 4.168694-1 4.275986-4 4.570882-1 3.285701-4 5.011872-1 2.541565-4 5.495409-1 1.979858-4 6.025596-1 1.553353-4 6.606935-1 1.227984-4 7.244360-1 9.779307-5 7.943282-1 7.845002-5 8.709636-1 6.321819-5 9.332543-1 5.412254-5 1.000000+0 4.666800-5 1.096478+0 3.868696-5 1.202264+0 3.230982-5 1.318257+0 2.718073-5 1.479108+0 2.208238-5 1.717908+0 1.696491-5 1.949845+0 1.367121-5 2.213095+0 1.110254-5 2.511886+0 9.085213-6 2.884032+0 7.358059-6 3.311311+0 6.003595-6 3.845918+0 4.852044-6 4.518559+0 3.885963-6 5.308844+0 3.135059-6 6.382635+0 2.473164-6 7.762471+0 1.938058-6 9.549926+0 1.509121-6 1.202264+1 1.152483-6 1.462177+1 9.215893-7 1.927525+1 6.770415-7 2.660725+1 4.769171-7 3.801894+1 3.263048-7 5.821032+1 2.091933-7 9.660509+1 1.242540-7 1.927525+2 6.159761-8 3.845918+2 3.070929-8 1.531087+3 7.682860-9 1.000000+5 1.17450-10 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 1.643000-5 1.643000-5 1.000000+5 1.643000-5 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.643000-5 0.0 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 3.690000-6 5.018380+5 3.715352-6 4.855844+5 3.770000-6 4.505120+5 3.960000-6 3.436640+5 4.216965-6 2.411339+5 4.500000-6 1.657030+5 4.786301-6 1.151209+5 5.128614-6 7.605130+4 5.623413-6 4.363679+4 5.888437-6 3.324107+4 6.100000-6 2.715790+4 6.270000-6 2.334090+4 6.420000-6 2.060250+4 6.550000-6 1.862350+4 6.700000-6 1.671960+4 6.850000-6 1.515590+4 7.000000-6 1.387420+4 7.100000-6 1.315250+4 7.244360-6 1.226986+4 7.350000-6 1.172720+4 7.500000-6 1.108390+4 7.650000-6 1.056720+4 7.770000-6 1.023060+4 7.920000-6 9.890480+3 8.050000-6 9.657280+3 8.222426-6 9.421154+3 8.420000-6 9.234020+3 8.609938-6 9.120532+3 8.850000-6 9.048370+3 9.120108-6 9.037150+3 9.440609-6 9.089134+3 9.885531-6 9.229816+3 1.161449-5 9.902890+3 1.258925-5 1.018705+4 1.364583-5 1.040369+4 1.496236-5 1.057317+4 1.640590-5 1.066261+4 1.819701-5 1.067112+4 2.213095-5 1.056447+4 2.600160-5 1.040065+4 3.235937-5 1.011556+4 3.845918-5 9.801719+3 4.265795-5 9.566402+3 4.731513-5 9.267119+3 5.188000-5 8.952041+3 5.559043-5 8.671724+3 6.025596-5 8.297838+3 6.500000-5 7.905080+3 6.918310-5 7.546907+3 7.413102-5 7.121483+3 7.943282-5 6.675365+3 8.511380-5 6.210859+3 9.225714-5 5.663943+3 1.000000-4 5.125760+3 1.109175-4 4.464985+3 1.244515-4 3.798494+3 1.566751-4 2.717800+3 2.041738-4 1.863965+3 2.691535-4 1.270543+3 3.019952-4 1.077639+3 5.308844-4 4.553686+2 6.095369-4 3.664623+2 8.413951-4 2.165852+2 1.035142-3 1.527969+2 1.273503-3 1.069256+2 1.566751-3 7.426589+1 1.949845-3 5.016151+1 2.454709-3 3.295530+1 3.054921-3 2.194218+1 3.801894-3 1.449509+1 4.677351-3 9.716619+0 5.688529-3 6.611055+0 6.839116-3 4.567145+0 8.222426-3 3.131737+0 9.885531-3 2.131234+0 1.188502-2 1.439225+0 1.412538-2 9.886856-1 1.678804-2 6.741054-1 1.995262-2 4.560560-1 2.344229-2 3.143459-1 2.754229-2 2.151380-1 3.235937-2 1.461810-1 3.801894-2 9.861390-2 4.518559-2 6.418537-2 5.308844-2 4.267971-2 6.382635-2 2.655190-2 7.762471-2 1.590417-2 9.225714-2 1.003802-2 1.161449-1 5.390290-3 2.483133-1 6.776303-4 2.985383-1 4.126660-4 3.467369-1 2.775612-4 3.981072-1 1.938475-4 4.518559-1 1.405336-4 5.069907-1 1.056430-4 5.688529-1 8.001109-5 6.309573-1 6.274263-5 6.998420-1 4.955098-5 7.762471-1 3.942016-5 8.511380-1 3.238013-5 9.440609-1 2.614062-5 1.059254+0 2.077998-5 1.216186+0 1.588391-5 1.364583+0 1.278332-5 1.531087+0 1.035914-5 1.717908+0 8.458859-6 1.949845+0 6.820465-6 2.213095+0 5.540386-6 2.511886+0 4.533773-6 2.884032+0 3.671478-6 3.311311+0 2.995523-6 3.845918+0 2.420952-6 4.518559+0 1.938911-6 5.308844+0 1.564278-6 6.382635+0 1.234000-6 7.673615+0 9.807344-7 9.440609+0 7.633472-7 1.174898+1 5.905408-7 1.445440+1 4.658104-7 1.905461+1 3.421101-7 2.630268+1 2.409166-7 3.758374+1 1.647951-7 5.821032+1 1.043711-7 9.660509+1 6.199749-8 1.927525+2 3.073352-8 3.845918+2 1.532241-8 1.531087+3 3.833346-9 1.000000+5 5.86030-11 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 3.690000-6 3.690000-6 1.000000+5 3.690000-6 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 3.690000-6 0.0 1.000000+5 1.000000+5 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.037160-7 1.027500+0 1.106550-6 1.028100+0 1.506540-6 1.028750+0 2.037160-6 1.029500+0 2.787910-6 1.030100+0 3.506130-6 1.031000+0 4.797580-6 1.032000+0 6.564300-6 1.033200+0 9.195470-6 1.034000+0 1.128830-5 1.035300+0 1.532220-5 1.036640+0 2.037160-5 1.038200+0 2.749210-5 1.039700+0 3.571780-5 1.041500+0 4.752210-5 1.043800+0 6.596220-5 1.046400+0 9.177390-5 1.048300+0 1.142610-4 1.051200+0 1.549930-4 1.054080+0 2.037160-4 1.057700+0 2.776790-4 1.061100+0 3.611920-4 1.065100+0 4.781810-4 1.070400+0 6.671160-4 1.076200+0 9.219570-4 1.080600+0 1.151370-3 1.087100+0 1.551270-3 1.093710+0 2.037160-3 1.102600+0 2.824350-3 1.110700+0 3.683280-3 1.120600+0 4.926700-3 1.133300+0 6.849540-3 1.147500+0 9.456480-3 1.158200+0 1.175190-2 1.174100+0 1.570840-2 1.190110+0 2.037160-2 1.205100+0 2.536780-2 1.227500+0 3.396300-2 1.250000+0 4.386000-2 1.265600+0 5.137030-2 1.294900+0 6.673580-2 1.320600+0 8.135860-2 1.343000+0 9.483600-2 1.382200+0 1.197620-1 1.433800+0 1.546960-1 1.500000+0 2.028000-1 1.589800+0 2.749230-1 1.665000+0 3.411770-1 1.784700+0 4.556710-1 1.892300+0 5.652110-1 2.000000+0 6.774000-1 2.044000+0 7.231000-1 2.163500+0 8.474950-1 2.372600+0 1.064960+0 2.647100+0 1.345570+0 3.000000+0 1.693000+0 3.500000+0 2.154800+0 4.000000+0 2.583000+0 4.750000+0 3.169140+0 5.000000+0 3.350000+0 6.000000+0 4.010000+0 7.000000+0 4.597000+0 8.000000+0 5.124000+0 9.000000+0 5.603000+0 1.000000+1 6.042000+0 1.100000+1 6.447000+0 1.200000+1 6.822000+0 1.300000+1 7.171000+0 1.400000+1 7.494000+0 1.500000+1 7.792000+0 1.600000+1 8.069000+0 1.800000+1 8.572000+0 2.000000+1 9.023000+0 2.200000+1 9.432000+0 2.400000+1 9.804000+0 2.600000+1 1.014000+1 2.800000+1 1.045000+1 3.000000+1 1.074000+1 4.000000+1 1.190000+1 5.000000+1 1.276000+1 6.000000+1 1.344000+1 8.000000+1 1.443000+1 1.000000+2 1.513000+1 1.500000+2 1.625000+1 2.000000+2 1.692000+1 3.000000+2 1.770000+1 4.000000+2 1.815000+1 5.000000+2 1.845000+1 6.000000+2 1.866000+1 8.000000+2 1.894000+1 1.000000+3 1.913000+1 1.500000+3 1.939000+1 2.000000+3 1.953000+1 3.000000+3 1.969000+1 4.000000+3 1.977000+1 5.000000+3 1.983000+1 6.000000+3 1.986000+1 8.000000+3 1.991000+1 1.000000+4 1.994000+1 1.500000+4 1.999000+1 2.000000+4 2.001000+1 3.000000+4 2.003000+1 4.000000+4 2.004000+1 5.000000+4 2.005000+1 6.000000+4 2.006000+1 8.000000+4 2.006000+1 1.000000+5 2.007000+1 1 55000 7 8 1.329050+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 5.515180-7 2.099900+0 1.291730-6 2.106600+0 1.796910-6 2.114000+0 2.486250-6 2.119500+0 3.095360-6 2.127900+0 4.197890-6 2.136250+0 5.515180-6 2.147000+0 7.561700-6 2.156900+0 9.821740-6 2.169000+0 1.310770-5 2.184500+0 1.822020-5 2.201800+0 2.520810-5 2.214800+0 3.140740-5 2.234200+0 4.224850-5 2.253680+0 5.515180-5 2.281500+0 7.724980-5 2.307000+0 1.014670-4 2.338200+0 1.364320-4 2.377400+0 1.889410-4 2.410200+0 2.403020-4 2.446800+0 3.056770-4 2.485900+0 3.848640-4 2.532900+0 4.925440-4 2.556430+0 5.515180-4 2.611900+0 7.032490-4 2.660400+0 8.501920-4 2.745300+0 1.137930-3 2.809000+0 1.378100-3 2.904500+0 1.775350-3 3.000000+0 2.216000-3 3.125000+0 2.857370-3 3.234400+0 3.476660-3 3.425800+0 4.681450-3 3.569300+0 5.676390-3 3.784700+0 7.296440-3 4.000000+0 9.038000-3 4.250000+0 1.116730-2 4.625000+0 1.451340-2 5.000000+0 1.799000-2 5.500000+0 2.275770-2 6.000000+0 2.759000-2 6.750000+0 3.479150-2 7.000000+0 3.716000-2 8.000000+0 4.641000-2 9.000000+0 5.526000-2 1.000000+1 6.366000-2 1.100000+1 7.161000-2 1.200000+1 7.909000-2 1.300000+1 8.614000-2 1.400000+1 9.285000-2 1.500000+1 9.919000-2 1.600000+1 1.052000-1 1.800000+1 1.164000-1 2.000000+1 1.265000-1 2.200000+1 1.358000-1 2.400000+1 1.443000-1 2.600000+1 1.522000-1 2.800000+1 1.594000-1 3.000000+1 1.662000-1 4.000000+1 1.942000-1 5.000000+1 2.154000-1 6.000000+1 2.322000-1 8.000000+1 2.575000-1 1.000000+2 2.759000-1 1.500000+2 3.064000-1 2.000000+2 3.255000-1 3.000000+2 3.489000-1 4.000000+2 3.629000-1 5.000000+2 3.726000-1 6.000000+2 3.796000-1 8.000000+2 3.894000-1 1.000000+3 3.959000-1 1.500000+3 4.056000-1 2.000000+3 4.111000-1 3.000000+3 4.172000-1 4.000000+3 4.208000-1 5.000000+3 4.229000-1 6.000000+3 4.245000-1 8.000000+3 4.265000-1 1.000000+4 4.279000-1 1.500000+4 4.296000-1 2.000000+4 4.307000-1 3.000000+4 4.317000-1 4.000000+4 4.323000-1 5.000000+4 4.327000-1 6.000000+4 4.329000-1 8.000000+4 4.332000-1 1.000000+5 4.334000-1 1 55000 7 8 1.329050+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 55000 7 9 1.329050+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 5.500000+1 1.000000+5 5.500000+1 5.000000+5 5.497100+1 1.000000+6 5.492000+1 1.250000+6 5.488150+1 1.500000+6 5.484100+1 1.750000+6 5.478040+1 2.000000+6 5.472000+1 2.250000+6 5.464460+1 2.500000+6 5.457000+1 2.875000+6 5.443990+1 3.000000+6 5.439300+1 3.250000+6 5.428890+1 3.625000+6 5.413270+1 4.000000+6 5.397000+1 4.437500+6 5.376660+1 4.812500+6 5.358460+1 5.000000+6 5.349100+1 5.500000+6 5.322200+1 6.250000+6 5.279490+1 6.500000+6 5.265320+1 7.000000+6 5.236100+1 8.500000+6 5.145900+1 9.000000+6 5.114600+1 1.000000+7 5.049900+1 1.187500+7 4.928380+1 1.250000+7 4.887400+1 1.437500+7 4.760270+1 1.500000+7 4.717200+1 1.687500+7 4.586330+1 1.750000+7 4.543400+1 2.000000+7 4.374100+1 2.250000+7 4.210040+1 2.500000+7 4.054200+1 2.750000+7 3.908100+1 3.000000+7 3.772700+1 3.250000+7 3.646500+1 3.500000+7 3.528570+1 3.625000+7 3.471660+1 4.000000+7 3.309900+1 4.500000+7 3.109020+1 4.750000+7 3.013770+1 5.000000+7 2.921800+1 5.500000+7 2.746650+1 6.000000+7 2.584900+1 7.000000+7 2.304300+1 8.000000+7 2.080600+1 9.000000+7 1.905100+1 1.000000+8 1.765100+1 1.125000+8 1.621430+1 1.156300+8 1.588560+1 1.250000+8 1.494100+1 1.312500+8 1.433170+1 1.406300+8 1.343970+1 1.437500+8 1.314860+1 1.500000+8 1.257400+1 1.562500+8 1.200950+1 1.671900+8 1.105900+1 1.750000+8 1.041680+1 1.753900+8 1.038550+1 1.877000+8 9.443910+0 2.000000+8 8.588600+0 2.250000+8 7.159810+0 2.359400+8 6.697180+0 2.375000+8 6.640040+0 2.453100+8 6.381870+0 2.500000+8 6.250800+0 3.000000+8 5.338900+0 3.500000+8 4.427100+0 4.000000+8 3.882300+0 4.125000+8 3.745570+0 4.234400+8 3.621310+0 4.425800+8 3.400990+0 4.677000+8 3.120400+0 4.750000+8 3.042660+0 5.000000+8 2.792600+0 5.500000+8 2.370110+0 5.875000+8 2.105550+0 6.000000+8 2.025100+0 6.437500+8 1.777180+0 6.683600+8 1.667780+0 6.894500+8 1.593140+0 7.000000+8 1.562600+0 7.125000+8 1.532060+0 8.000000+8 1.386400+0 8.250000+8 1.341800+0 8.468800+8 1.299940+0 1.000000+9 1.033900+0 1.045900+9 9.802710-1 1.088000+9 9.400500-1 1.115500+9 9.172090-1 1.331800+9 7.784370-1 1.375000+9 7.532900-1 1.391900+9 7.433150-1 1.445900+9 7.111340-1 1.500000+9 6.779400-1 1.562500+9 6.384410-1 1.617200+9 6.038230-1 1.665000+9 5.740230-1 1.748800+9 5.237730-1 1.811600+9 4.883110-1 1.905800+9 4.392420-1 2.000000+9 3.953500-1 2.139200+9 3.394500-1 2.272600+9 2.944770-1 2.443000+9 2.469760-1 2.602800+9 2.106080-1 2.825100+9 1.702370-1 2.961100+9 1.501820-1 3.215900+9 1.198540-1 3.536500+9 9.170500-2 3.804800+9 7.422730-2 4.103600+9 5.938550-2 4.423800+9 4.736930-2 4.807900+9 3.670830-2 5.000000+9 3.251100-2 5.375000+9 2.592070-2 6.031300+9 1.797530-2 7.015600+9 1.104290-2 8.000000+9 7.208100-3 1.00000+10 3.490300-3 1.13510+10 2.318510-3 1.41440+10 1.146700-3 1.70770+10 6.310830-4 2.01080+10 3.775510-4 2.51010+10 1.890500-4 2.97820+10 1.113790-4 3.85600+10 5.040910-5 4.62400+10 2.899040-5 5.96800+10 1.339940-5 7.98400+10 5.593560-6 1.00000+11 2.857700-6 1.34280+11 1.192080-6 1.77440+11 5.239440-7 2.63330+11 1.647140-7 4.88110+11 2.741940-8 1.16740+12 2.239470-9 3.55150+12 9.52098-11 1.00000+14 8.21650-15 2.05350+15 1.63669-18 1.00000+17 2.62470-23 1 55000 7 0 1.329050+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.05000-11 1.000000+2 1.050000-9 1.000000+3 1.050000-7 1.000000+4 1.050000-5 1.000000+5 1.050000-3 5.000000+5 2.625000-2 1.000000+6 1.050000-1 1.250000+6 1.622790-1 1.500000+6 2.307000-1 1.750000+6 3.090660-1 2.000000+6 3.964000-1 2.250000+6 4.917050-1 2.500000+6 5.940000-1 2.875000+6 7.578650-1 3.000000+6 8.148000-1 3.250000+6 9.312770-1 3.625000+6 1.111330+0 4.000000+6 1.295500+0 4.437500+6 1.512750+0 4.812500+6 1.699560+0 5.000000+6 1.793000+0 5.500000+6 2.040630+0 6.250000+6 2.410710+0 6.500000+6 2.533980+0 7.000000+6 2.781600+0 8.500000+6 3.536470+0 9.000000+6 3.794100+0 1.000000+7 4.320000+0 1.187500+7 5.331630+0 1.250000+7 5.672300+0 1.437500+7 6.687540+0 1.500000+7 7.023000+0 1.687500+7 8.013700+0 1.750000+7 8.339200+0 2.000000+7 9.615000+0 2.250000+7 1.084970+1 2.500000+7 1.203500+1 2.750000+7 1.316130+1 3.000000+7 1.421700+1 3.250000+7 1.519460+1 3.500000+7 1.610400+1 3.625000+7 1.653600+1 4.000000+7 1.775300+1 4.500000+7 1.923120+1 4.750000+7 1.992930+1 5.000000+7 2.061200+1 5.500000+7 2.194050+1 6.000000+7 2.322800+1 7.000000+7 2.569100+1 8.000000+7 2.798100+1 9.000000+7 3.006400+1 1.000000+8 3.191400+1 1.125000+8 3.389300+1 1.156300+8 3.433760+1 1.250000+8 3.556500+1 1.312500+8 3.629980+1 1.406300+8 3.731100+1 1.437500+8 3.762830+1 1.500000+8 3.823200+1 1.562500+8 3.880110+1 1.671900+8 3.973830+1 1.750000+8 4.035980+1 1.753900+8 4.038940+1 1.877000+8 4.129380+1 2.000000+8 4.212900+1 2.250000+8 4.362590+1 2.359400+8 4.421450+1 2.375000+8 4.429330+1 2.453100+8 4.468260+1 2.500000+8 4.491200+1 3.000000+8 4.698100+1 3.500000+8 4.857700+1 4.000000+8 4.982400+1 4.125000+8 5.008500+1 4.234400+8 5.030810+1 4.425800+8 5.066180+1 4.677000+8 5.107250+1 4.750000+8 5.118090+1 5.000000+8 5.153000+1 5.500000+8 5.208850+1 5.875000+8 5.242520+1 6.000000+8 5.252300+1 6.437500+8 5.282100+1 6.683600+8 5.296140+1 6.894500+8 5.307440+1 7.000000+8 5.312700+1 7.125000+8 5.318340+1 8.000000+8 5.353400+1 8.250000+8 5.361380+1 8.468800+8 5.368180+1 1.000000+9 5.408100+1 1.045900+9 5.417070+1 1.088000+9 5.424960+1 1.115500+9 5.429960+1 1.331800+9 5.458660+1 1.375000+9 5.463020+1 1.391900+9 5.464450+1 1.445900+9 5.468900+1 1.500000+9 5.473200+1 1.562500+9 5.476890+1 1.617200+9 5.480000+1 1.665000+9 5.482050+1 1.748800+9 5.485330+1 1.811600+9 5.487690+1 1.905800+9 5.490110+1 2.000000+9 5.492400+1 2.139200+9 5.494510+1 2.272600+9 5.496410+1 2.443000+9 5.498170+1 2.602800+9 5.499010+1 2.825100+9 5.500090+1 2.961100+9 5.500710+1 3.215900+9 5.500900+1 3.536500+9 5.500710+1 3.804800+9 5.500560+1 4.103600+9 5.500400+1 4.423800+9 5.500250+1 4.807900+9 5.500080+1 5.000000+9 5.500000+1 5.375000+9 5.500000+1 6.031300+9 5.500000+1 7.015600+9 5.500000+1 8.000000+9 5.500000+1 1.00000+10 5.500000+1 1.13510+10 5.500000+1 1.41440+10 5.500000+1 1.70770+10 5.500000+1 2.01080+10 5.500000+1 2.51010+10 5.500000+1 2.97820+10 5.500000+1 3.85600+10 5.500000+1 4.62400+10 5.500000+1 5.96800+10 5.500000+1 7.98400+10 5.500000+1 1.00000+11 5.500000+1 1.34280+11 5.500000+1 1.77440+11 5.500000+1 2.63330+11 5.500000+1 4.88110+11 5.500000+1 1.16740+12 5.500000+1 3.55150+12 5.500000+1 1.00000+14 5.500000+1 2.05350+15 5.500000+1 1.00000+17 5.500000+1 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.242254-6 0.0 1.247604-6 3.917717+0 1.248369-6 4.471680+0 1.251426-6 8.167889+0 1.254484-6 1.377218+1 1.257924-6 2.260428+1 1.263227-6 3.943483+1 1.267097-6 5.082896+1 1.269963-6 5.668230+1 1.273111-6 5.877895+1 1.276315-6 5.592263+1 1.279520-6 4.879991+1 1.284656-6 3.273138+1 1.288118-6 2.195750+1 1.291271-6 1.399642+1 1.294375-6 8.271397+0 1.297339-6 4.611267+0 1.301870-6 1.187027+0 1.303406-6 0.0 1.303838-6 0.0 1.309454-6 8.109751+0 1.310256-6 9.256466+0 1.313465-6 1.690769+1 1.316875-6 2.949799+1 1.320285-6 4.679130+1 1.326006-6 8.263851+1 1.329712-6 1.043759+2 1.333240-6 1.178362+2 1.336382-6 1.214537+2 1.339434-6 1.163860+2 1.342925-6 1.011734+2 1.347977-6 7.012094+1 1.351976-6 4.545246+1 1.355185-6 2.934253+1 1.358395-6 1.748605+1 1.361604-6 9.619218+0 1.366418-6 2.445244+0 1.368022-6 0.0 1.527815-6 0.0 1.531575-6 1.002563-6 1.535336-6 1.983795-6 1.539096-6 3.623564-6 1.542857-6 6.109827-6 1.546617-6 9.509895-6 1.550378-6 1.366395-5 1.554138-6 1.812304-5 1.557899-6 2.218909-5 1.561659-6 2.507852-5 1.565420-6 2.616485-5 1.569181-6 2.519930-5 1.572941-6 2.240333-5 1.576702-6 1.838615-5 1.583953-6 1.004204-5 1.587983-6 8.145896-6 1.591750-6 7.302594-6 1.595649-6 8.521683-6 1.599548-6 1.192671-5 1.603447-6 1.705678-5 1.607345-6 2.450743-5 1.611244-6 3.250516-5 1.615143-6 3.979796-5 1.619041-6 4.498039-5 1.622940-6 4.692881-5 1.626839-6 4.519702-5 1.630737-6 4.018222-5 1.634636-6 3.297707-5 1.642433-6 1.747151-5 1.646332-6 1.127900-5 1.650231-6 6.721475-6 1.654130-6 3.697539-6 1.658028-6 1.877651-6 1.661927-6 0.0 2.069063-6 0.0 2.074155-6 6.76855-16 2.079248-6 1.33931-15 2.084341-6 2.44636-15 2.089434-6 4.12490-15 2.094526-6 6.42037-15 2.099619-6 9.22488-15 2.104712-6 1.22353-14 2.109805-6 1.49804-14 2.114897-6 1.69311-14 2.119990-6 1.76645-14 2.125083-6 1.70127-14 2.130175-6 1.51250-14 2.135268-6 1.24129-14 2.145454-6 6.57647-15 2.150546-6 4.24554-15 2.155639-6 2.53004-15 2.160732-6 1.39180-15 2.165825-6 7.06769-16 2.170917-6 0.0 2.456897-6 0.0 2.465968-6 4.157498-2 2.468991-6 5.525752-2 2.475039-6 1.009324-1 2.478866-6 1.447224-1 2.481086-6 2.069109-1 2.487133-6 4.010484-1 2.491069-6 5.401535-1 2.497170-6 8.278360-1 2.503653-6 1.224539+0 2.520604-6 2.447002+0 2.524986-6 2.733627+0 2.529465-6 2.946581+0 2.533779-6 3.072952+0 2.540643-6 3.033676+0 2.546940-6 2.779605+0 2.555166-6 2.209402+0 2.568068-6 1.189628+0 2.570387-6 1.018040+0 2.576488-6 6.406988-1 2.582590-6 3.779335-1 2.588691-6 2.079238-1 2.599718-6 2.042239-2 2.600894-6 3.249043-5 2.605886-6 2.315800-5 2.610908-6 1.568754-5 2.617090-6 8.420725-6 2.618169-6 7.474451-6 2.623273-6 4.461320-6 2.629456-6 2.265508-6 2.635639-6 0.0 2.924029-6 0.0 2.934296-6 6.387765-3 2.938423-6 2.101729-2 2.945620-6 4.925397-2 2.948741-6 6.307012-2 2.952817-6 8.895263-2 2.955963-6 1.107462-1 2.963186-6 1.801381-1 2.971750-6 2.913954-1 2.988803-6 5.428365-1 2.996547-6 6.227631-1 2.999298-6 6.458132-1 3.006520-6 6.606281-1 3.013742-6 6.250518-1 3.022703-6 5.216522-1 3.039183-6 2.765411-1 3.042632-6 2.287382-1 3.049854-6 1.461384-1 3.057077-6 8.627920-2 3.064299-6 4.598751-2 3.067971-6 3.268925-2 3.078744-6 1.647080-6 3.080516-6 1.158888-6 3.087643-6 0.0 3.154438-6 0.0 3.160049-6 1.061433-3 3.169966-6 1.311207-2 3.175606-6 2.056846-2 3.183384-6 3.703502-2 3.191162-6 6.161018-2 3.198940-6 9.468974-2 3.216552-6 1.865324-1 3.224316-6 2.208581-1 3.230052-6 2.391407-1 3.237830-6 2.472256-1 3.245608-6 2.360706-1 3.255373-6 1.984753-1 3.276720-6 8.864096-2 3.284498-6 5.687418-2 3.288556-6 4.492310-2 3.292276-6 3.611124-2 3.300054-6 2.527193-2 3.304745-6 2.227410-2 3.309722-6 2.071005-2 3.312839-6 2.049211-2 3.315611-6 2.143778-2 3.320934-6 2.928120-2 3.329028-6 4.526135-2 3.353311-6 1.037105-1 3.361406-6 1.166025-1 3.369500-6 1.214128-1 3.377594-6 1.190002-1 3.385689-6 1.083703-1 3.401877-6 7.991307-2 3.410152-6 6.939895-2 3.418444-6 6.448091-2 3.426735-6 6.567232-2 3.443318-6 7.526911-2 3.459902-6 7.964984-2 3.471043-6 7.850599-2 3.494215-6 7.208188-2 3.575858-6 6.564356-2 3.615342-6 5.915840-2 3.647240-6 5.097564-2 3.673190-6 4.475298-2 3.721462-6 3.022815-2 3.735766-6 2.731106-2 3.757153-6 2.490677-2 3.783735-6 2.386438-2 4.018880-6 1.820914-2 4.221958-6 1.448025-2 4.419791-6 1.164098-2 4.660834-6 8.993895-3 4.864422-6 7.281051-3 5.101305-6 5.739773-3 5.327859-6 4.613798-3 5.594653-6 3.608639-3 5.859634-6 2.874473-3 6.138619-6 2.308639-3 6.426441-6 1.888501-3 6.724286-6 1.585931-3 7.071586-6 1.353466-3 7.476871-6 1.197675-3 7.925179-6 1.122028-3 8.461705-6 1.115489-3 9.254298-6 1.199682-3 1.189082-5 1.697793-3 1.242390-5 1.801250-3 1.247742-5 1.444056+0 1.248506-5 1.647990+0 1.251564-5 3.008696+0 1.254622-5 5.071832+0 1.257680-5 7.893255+0 1.262649-5 1.365090+1 1.266854-5 1.841462+1 1.270294-5 2.092477+1 1.273352-5 2.161383+1 1.276219-5 2.076787+1 1.279468-5 1.817662+1 1.284449-5 1.247224+1 1.288260-5 8.085188+0 1.291318-5 5.220191+0 1.294376-5 3.111631+0 1.297434-5 1.712594+0 1.302021-5 4.367774-1 1.303550-5 1.916194-3 1.376704-5 2.073507-3 1.395170-5 2.265721-3 1.400782-5 2.275216+0 1.402038-5 7.059519+0 1.405472-5 2.098590+1 1.407677-5 3.059286+1 1.411125-5 5.416068+1 1.414573-5 8.880912+1 1.418572-5 1.435454+2 1.426833-5 2.749707+2 1.430949-5 3.226336+2 1.432520-5 3.330084+2 1.435797-5 3.387547+2 1.439266-5 3.195165+2 1.442885-5 2.766504+2 1.451731-5 1.397716+2 1.454918-5 9.863158+1 1.455947-5 8.612838+1 1.459395-5 5.530957+1 1.462843-5 3.441210+1 1.467162-5 1.892316+1 1.469738-5 9.875207+0 1.481393-5 1.000854+1 1.484960-5 9.675758+0 1.488527-5 8.911868+0 1.493587-5 7.079025+0 1.501040-5 1.064177+1 1.504787-5 1.488617+1 1.508417-5 2.194059+1 1.512775-5 3.464946+1 1.523360-5 7.214563+1 1.527361-5 8.099265+1 1.531134-5 8.312169+1 1.534764-5 7.904552+1 1.540060-5 6.522800+1 1.548142-5 4.002806+1 1.549188-5 3.736047+1 1.552741-5 3.046044+1 1.556409-5 2.694499+1 1.560348-5 2.691290+1 1.567609-5 3.089358+1 1.573125-5 3.585961+1 1.576812-5 3.816882+1 1.584951-5 5.193875+1 1.588786-5 6.226317+1 1.592791-5 7.908212+1 1.597723-5 1.089801+2 1.608115-5 1.811571+2 1.612625-5 1.984465+2 1.616290-5 2.014123+2 1.620254-5 1.906717+2 1.625116-5 1.614750+2 1.635341-5 8.402023+1 1.638873-5 6.219871+1 1.642727-5 4.425326+1 1.646546-5 3.199805+1 1.654115-5 1.667720+1 1.661986-5 1.577968+1 1.673301-5 1.501405+1 1.681707-5 1.688451+1 1.685816-5 1.870872+1 1.690439-5 2.237672+1 1.694431-5 2.693236+1 1.707363-5 4.522113+1 1.711338-5 4.859858+1 1.715093-5 4.960414+1 1.719202-5 4.796837+1 1.723410-5 4.395734+1 1.734074-5 3.032200+1 1.737385-5 2.726906+1 1.739233-5 2.581190+1 1.743346-5 2.444179+1 1.749321-5 2.472940+1 1.759613-5 2.676554+1 1.764926-5 2.748263+1 1.774386-5 2.659636+1 1.812242-5 2.160075+1 1.841791-5 1.500346+1 1.847538-5 1.406333+1 1.856950-5 1.312107+1 1.872271-5 1.237083+1 1.946632-5 1.032507+1 2.035895-5 8.552632+0 2.150000-5 6.956639+0 2.252379-5 5.921175+0 2.394939-5 4.858455+0 2.541071-5 4.060601+0 2.697259-5 3.419925+0 2.823010-5 3.041847+0 2.871496-5 2.966084+0 2.935513-5 2.716533+0 3.185114-5 2.198222+0 3.470362-5 1.774449+0 3.767354-5 1.460325+0 4.061064-5 1.234673+0 4.402460-5 1.044309+0 4.830440-5 8.780343-1 5.290801-5 7.585997-1 5.837690-5 6.666431-1 6.555431-5 5.941299-1 7.651959-5 5.378442-1 7.886123-5 5.308392-1 7.924944-5 6.703972-1 7.944355-5 7.861326-1 7.963766-5 9.619005-1 7.984810-5 1.227168+0 8.041409-5 2.149024+0 8.064382-5 2.429436+0 8.083714-5 2.567313+0 8.119714-5 2.593178+0 8.165395-5 2.581696+0 8.186627-5 2.703058+0 8.219896-5 3.132777+0 8.251688-5 3.745069+0 8.308569-5 4.927061+0 8.415644-5 6.712492+0 8.487643-5 8.379403+0 8.554520-5 1.036649+1 8.605000-5 1.248755+1 8.655372-5 1.551746+1 8.802528-5 2.708623+1 8.880813-5 3.135723+1 8.948253-5 3.326214+1 9.044131-5 3.389248+1 9.173104-5 3.214308+1 9.654785-5 2.167693+1 9.868679-5 1.830514+1 1.024000-4 1.434810+1 1.069004-4 1.070396+1 1.110402-4 8.178801+0 1.145302-4 6.564105+0 1.175642-4 5.466207+0 1.215244-4 4.356605+0 1.257051-4 3.489576+0 1.297086-4 2.869815+0 1.342789-4 2.349453+0 1.386056-4 1.995394+0 1.429408-4 1.746488+0 1.481618-4 1.555300+0 1.536000-4 1.452705+0 1.601199-4 1.424842+0 1.609081-4 1.507005+0 1.613068-4 1.576120+0 1.617159-4 1.684597+0 1.621046-4 1.834489+0 1.631721-4 2.422854+0 1.641770-4 2.967998+0 1.651725-4 3.275854+0 1.658763-4 3.369711+0 1.668830-4 3.327522+0 1.675430-4 3.176460+0 1.690409-4 2.736063+0 1.701795-4 2.552354+0 1.716712-4 2.515424+0 1.741037-4 2.535328+0 1.759307-4 2.665880+0 1.785923-4 3.151974+0 1.803050-4 3.265223+0 1.827448-4 3.185124+0 1.853483-4 3.115583+0 2.003893-4 3.528154+0 2.254755-4 4.345230+0 2.279158-4 4.678369+0 2.304120-4 5.091163+0 2.352159-4 5.072298+0 2.639498-4 5.847470+0 3.072000-4 6.629524+0 3.550688-4 7.098224+0 4.221519-4 7.292056+0 5.314015-4 7.024514+0 7.156367-4 6.148045+0 7.194674-4 6.454163+0 7.218956-4 7.051920+0 7.239339-4 8.017088+0 7.257238-4 9.348302+0 7.276479-4 1.137209+1 7.298198-4 1.436363+1 7.378723-4 2.773996+1 7.440895-4 3.566317+1 7.511438-4 4.265227+1 7.561789-4 4.479194+1 7.632500-4 4.380978+1 7.836178-4 3.774026+1 8.023678-4 3.509169+1 8.350000-4 3.246020+1 9.525716-4 2.764586+1 9.715557-4 2.740570+1 9.800028-4 2.881460+1 9.890580-4 3.106095+1 9.965565-4 3.108146+1 1.014981-3 2.935388+1 1.040140-3 2.872838+1 1.061362-3 3.001136+1 1.097440-3 2.845018+1 1.184021-3 2.637791+1 1.215312-3 2.646555+1 1.456171-3 2.130250+1 1.737801-3 1.695417+1 2.001276-3 1.399655+1 2.323688-3 1.134841+1 2.613098-3 9.581916+0 2.973271-3 7.924224+0 3.406184-3 6.459414+0 3.876044-3 5.299287+0 4.443856-3 4.284125+0 4.885168-3 3.705957+0 4.917448-3 3.914939+0 4.933802-3 4.219308+0 4.951631-3 4.830638+0 4.969230-3 5.737388+0 5.013988-3 8.639556+0 5.036854-3 9.661910+0 5.060875-3 1.016994+1 5.117702-3 1.021442+1 5.262074-3 9.903750+0 5.301051-3 1.021849+1 5.351763-3 1.149301+1 5.389852-3 1.240105+1 5.440188-3 1.269313+1 5.604708-3 1.225811+1 5.682703-3 1.283623+1 5.738930-3 1.329608+1 6.024406-3 1.253999+1 6.980817-3 9.975869+0 7.950430-3 8.096390+0 9.087355-3 6.518088+0 1.047068-2 5.156530+0 1.197893-2 4.113031+0 1.361641-2 3.304978+0 1.520315-2 2.733494+0 1.713736-2 2.217857+0 1.930995-2 1.798471+0 2.172396-2 1.459486+0 2.451179-2 1.176326+0 2.761639-2 9.492626-1 3.084789-2 7.769797-1 3.485212-2 6.221855-1 3.517578-2 6.215057-1 3.532744-2 6.487754-1 3.544026-2 7.067739-1 3.552668-2 7.894947-1 3.561153-2 9.151349-1 3.571285-2 1.133276+0 3.583228-2 1.484580+0 3.614453-2 2.586534+0 3.630898-2 3.012269+0 3.649064-2 3.259288+0 3.670530-2 3.347878+0 4.373394-2 2.543535+0 4.945673-2 2.076394+0 5.583095-2 1.689766+0 6.280921-2 1.377868+0 7.199495-2 1.084676+0 8.150176-2 8.696617-1 9.203503-2 6.982720-1 1.027008-1 5.720950-1 1.144985-1 4.688618-1 1.263928-1 3.907733-1 1.399524-1 3.237419-1 1.553840-1 2.669421-1 1.718047-1 2.219313-1 1.912849-1 1.822111-1 2.127986-1 1.498571-1 2.364558-1 1.238397-1 2.626486-1 1.025420-1 2.937577-1 8.419760-2 3.281283-1 6.959110-2 3.684886-1 5.727038-2 4.085912-1 4.839112-2 4.531584-1 4.107472-2 5.077634-1 3.455025-2 5.690576-1 2.929976-2 6.384932-1 2.500280-2 7.281093-1 2.109425-2 8.378406-1 1.780666-2 9.522478-1 1.546068-2 1.173413+0 1.236869-2 1.410753+0 1.011301-2 1.696098+0 8.268707-3 2.039158+0 6.760745-3 2.451607+0 5.527791-3 2.814822+0 4.753017-3 3.384160+0 3.886211-3 4.068655+0 3.177484-3 4.891600+0 2.598007-3 5.880996+0 2.124209-3 7.070513+0 1.736818-3 8.500626+0 1.420075-3 9.760024+0 1.221038-3 1.000000+1 2.492899-3 1 55000 7 0 1.329050+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-5.157043+1 1.123724-6-4.812980+1 1.180089-6-4.413562+1 1.209796-6-3.971905+1 1.225606-6-3.538628+1 1.233715-6-3.177909+1 1.239552-6-2.774816+1 1.242254-6-2.462201+1 1.245311-6-2.087791+1 1.248369-6-1.725635+1 1.251809-6-1.254534+1 1.254866-6-8.847091+0 1.255535-6-8.217607+0 1.257924-6-6.565103+0 1.258593-6-6.369780+0 1.259596-6-6.385572+0 1.260599-6-6.641712+0 1.261364-6-7.034556+0 1.261937-6-7.501428+0 1.263227-6-9.033661+0 1.264995-6-1.222448+1 1.266285-6-1.520858+1 1.269103-6-2.389425+1 1.272830-6-3.838470+1 1.277035-6-5.437596+1 1.281126-6-4.496186+1 1.283620-6-4.158899+1 1.286398-6-4.096159+1 1.288118-6-4.197101+1 1.291457-6-4.631314+1 1.296127-6-5.480936+1 1.302254-6-4.046383+1 1.303730-6-3.514001+1 1.304815-6-3.098051+1 1.307047-6-2.483605+1 1.310056-6-1.703199+1 1.313465-6-7.380588+0 1.313666-6-6.686421+0 1.314042-6-5.630622+0 1.316675-6 5.652615-1 1.316875-6 1.151862+0 1.317251-6 1.970816+0 1.317909-6 3.091342+0 1.320285-6 6.113579+0 1.320987-6 6.435525+0 1.321514-6 6.430156+0 1.322303-6 6.117074+0 1.323093-6 5.557507+0 1.323494-6 5.163603+0 1.324196-6 4.089742+0 1.324723-6 3.035705+0 1.325118-6 2.107625+0 1.325710-6 4.793647-1 1.326006-6-4.578087-1 1.326302-6-1.530592+0 1.327105-6-4.582697+0 1.327706-6-7.030180+0 1.328496-6-1.063630+1 1.329258-6-1.475078+1 1.329712-6-1.784519+1 1.331875-6-3.154857+1 1.332771-6-3.877841+1 1.334868-6-5.500966+1 1.336005-6-4.501663+1 1.337160-6-3.536984+1 1.339016-6-2.095775+1 1.339434-6-1.709065+1 1.340117-6-1.200660+1 1.342348-6 2.557317+0 1.342549-6 3.970991+0 1.342925-6 6.224971+0 1.343583-6 9.686728+0 1.344077-6 1.201874+1 1.345558-6 1.820262+1 1.346661-6 2.191924+1 1.347977-6 2.498749+1 1.349569-6 2.693020+1 1.351525-6 2.751506+1 1.354383-6 2.458219+1 1.358044-6 1.710200+1 1.361604-6 8.351676+0 1.362005-6 7.247512+0 1.362707-6 5.670547+0 1.366418-6-1.601820+0 1.367220-6-3.371485+0 1.367822-6-4.942063+0 1.368178-6-6.202712+0 1.368490-6-7.071671+0 1.369113-6-8.511054+0 1.370350-6-1.085176+1 1.372801-6-1.447584+1 1.376406-6-1.850068+1 1.381091-6-2.241918+1 1.387862-6-2.656596+1 1.398459-6-3.104769+1 1.413886-6-3.528517+1 1.439624-6-3.952589+1 1.487881-6-4.366580+1 1.587983-6-4.732203+1 1.843321-6-5.026956+1 2.475039-6-5.312619+1 2.519356-6-5.343633+1 2.564260-6-5.015385+1 2.686156-6-5.182979+1 3.006520-6-5.234232+1 6.986629-6-5.506027+1 9.639189-6-5.089833+1 1.105145-5-4.582157+1 1.180244-5-4.056657+1 1.217986-5-3.587100+1 1.236687-5-3.167708+1 1.243155-5-2.877365+1 1.255387-5-2.233535+1 1.259591-5-2.125531+1 1.262649-5-2.167530+1 1.266472-5-2.408025+1 1.269912-5-2.797283+1 1.277205-5-3.786395+1 1.281655-5-4.183765+1 1.286250-5-4.299914+1 1.291700-5-4.105964+1 1.306945-5-3.147330+1 1.340508-5-1.638268+1 1.349493-5-1.143872+1 1.353764-5-8.767788+0 1.359385-5-4.837088+0 1.362999-5-2.005251+0 1.366613-5 1.117976+0 1.369976-5 4.338416+0 1.373340-5 7.921194+0 1.376704-5 1.194431+1 1.380068-5 1.651003+1 1.383431-5 2.176061+1 1.386795-5 2.789982+1 1.389738-5 3.424521+1 1.393523-5 4.436329+1 1.397392-5 5.850150+1 1.399536-5 6.841629+1 1.400782-5 7.652718+1 1.402896-5 8.981216+1 1.407677-5 1.161815+2 1.411629-5 1.405988+2 1.415758-5 1.600743+2 1.419088-5 1.650762+2 1.421645-5 1.580127+2 1.424599-5 1.384579+2 1.426519-5 1.177369+2 1.429343-5 7.493861+1 1.431381-5 3.696314+1 1.431704-5 2.993047+1 1.431920-5 2.437735+1 1.432129-5 1.969269+1 1.432520-5 1.156442+1 1.433205-5-1.963229+0 1.434104-5-1.962809+1 1.434894-5-3.617779+1 1.435273-5-4.567767+1 1.435814-5-5.839006+1 1.436707-5-4.047486+1 1.438145-5-1.284056+1 1.438427-5-7.125990+0 1.438567-5-4.098747+0 1.438638-5-2.492507+0 1.438708-5-6.919466-1 1.438762-5 7.138059-1 1.438868-5 3.120006+0 1.439073-5 7.373596+0 1.439266-5 1.110493+1 1.439943-5 2.315732+1 1.442600-5 6.583288+1 1.443956-5 8.260915+1 1.445752-5 9.918857+1 1.447726-5 1.119193+2 1.450042-5 1.201796+2 1.451731-5 1.206882+2 1.454918-5 1.123844+2 1.459395-5 8.862014+1 1.464586-5 5.725716+1 1.468450-5 3.752509+1 1.469577-5 3.047235+1 1.470114-5 2.610171+1 1.471047-5 2.067686+1 1.471895-5 1.656258+1 1.473314-5 1.060812+1 1.474420-5 6.511821+0 1.475271-5 3.611888+0 1.476548-5-4.077647-1 1.477826-5-4.089838+0 1.478717-5-6.496787+0 1.480055-5-9.907212+0 1.483176-5-1.703332+1 1.491986-5-3.537405+1 1.496236-5-4.630577+1 1.501657-5-5.942486+1 1.509506-5-4.029501+1 1.513094-5-3.454918+1 1.515826-5-3.295020+1 1.518493-5-3.364798+1 1.521017-5-3.641927+1 1.522893-5-4.046150+1 1.526790-5-5.238446+1 1.528869-5-5.994187+1 1.532589-5-4.583662+1 1.535488-5-3.591237+1 1.539059-5-2.797095+1 1.540514-5-2.586346+1 1.542763-5-2.426108+1 1.544705-5-2.418971+1 1.546589-5-2.535347+1 1.548959-5-2.910881+1 1.552412-5-3.612603+1 1.560962-5-5.701054+1 1.561707-5-5.851872+1 1.567609-5-5.325149+1 1.575879-5-4.086752+1 1.578489-5-3.493712+1 1.583664-5-2.606916+1 1.585403-5-2.178267+1 1.588141-5-1.568044+1 1.588786-5-1.363133+1 1.589254-5-1.245447+1 1.590073-5-1.073803+1 1.592222-5-6.642672+0 1.592791-5-5.046733+0 1.593282-5-4.143437+0 1.593712-5-3.557089+0 1.594464-5-2.814807+0 1.596730-5-1.524442+0 1.597061-5-1.308291+0 1.597723-5-1.436582+0 1.598343-5-1.899756+0 1.598924-5-2.573351+0 1.599469-5-3.395229+0 1.599980-5-4.324468+0 1.600459-5-5.331498+0 1.601357-5-7.569310+0 1.602143-5-9.903711+0 1.602831-5-1.224180+1 1.603959-5-1.670912+1 1.605175-5-2.250236+1 1.606484-5-3.015318+1 1.607516-5-3.786714+1 1.608115-5-4.342813+1 1.610752-5-6.455739+1 1.612060-5-5.241970+1 1.613038-5-4.255856+1 1.615115-5-2.344904+1 1.615827-5-1.598083+1 1.616051-5-1.304655+1 1.616290-5-1.040120+1 1.619867-5 2.320939+1 1.620254-5 2.726581+1 1.621570-5 3.817284+1 1.625116-5 6.312793+1 1.627478-5 7.412383+1 1.630073-5 8.192380+1 1.633119-5 8.624774+1 1.635341-5 8.538262+1 1.638873-5 7.911674+1 1.642727-5 6.870014+1 1.647320-5 5.437821+1 1.652736-5 3.980800+1 1.654115-5 3.490249+1 1.655354-5 3.055256+1 1.657717-5 2.458913+1 1.660480-5 1.902273+1 1.664131-5 1.290477+1 1.666276-5 9.768807+0 1.672596-5 1.197041+0 1.673301-5 2.229645-1 1.674300-5-1.229804+0 1.675798-5-3.131358+0 1.681707-5-1.011059+1 1.686843-5-1.635632+1 1.691338-5-2.118640+1 1.695176-5-2.427455+1 1.698921-5-2.539648+1 1.703236-5-2.457644+1 1.706350-5-2.245492+1 1.710436-5-1.751105+1 1.714174-5-1.187561+1 1.715093-5-1.015715+1 1.718688-5-4.925739+0 1.719202-5-4.101879+0 1.720100-5-2.945013+0 1.722797-5 6.696714-2 1.723410-5 7.470007-1 1.724560-5 1.681530+0 1.725566-5 2.311138+0 1.727327-5 3.092222+0 1.728648-5 3.440348+0 1.730629-5 3.585003+0 1.731620-5 3.472161+0 1.732610-5 3.166653+0 1.734074-5 2.559955+0 1.734806-5 2.210030+0 1.737385-5 5.325444-1 1.738309-5-9.312027-2 1.739233-5-9.082208-1 1.744568-5-5.059278+0 1.749321-5-7.601073+0 1.752583-5-8.716639+0 1.756927-5-9.706294+0 1.759613-5-9.961729+0 1.770486-5-8.653107+0 1.774386-5-8.334834+0 1.791731-5-8.151337+0 1.804452-5-7.934145+0 1.814346-5-7.578212+0 1.824553-5-7.566055+0 1.833946-5-8.290141+0 1.839572-5-9.033654+0 1.861907-5-1.276055+1 1.879459-5-1.484739+1 1.910633-5-1.725720+1 1.967755-5-2.026308+1 2.068677-5-2.370592+1 2.221811-5-2.694136+1 2.483850-5-3.018746+1 2.989173-5-3.341979+1 4.167205-5-3.676806+1 6.555431-5-4.134252+1 7.481799-5-4.501703+1 7.868652-5-4.827549+1 8.064382-5-5.115565+1 8.196622-5-5.300519+1 8.571997-5-6.045928+1 8.698000-5-6.302486+1 8.792628-5-6.056388+1 9.110680-5-4.052641+1 9.228396-5-3.536261+1 9.377524-5-3.140843+1 9.591332-5-2.803827+1 9.868679-5-2.662616+1 1.051687-4-2.571890+1 1.154590-4-2.709835+1 1.465000-4-3.277595+1 1.617159-4-3.529684+1 1.646167-4-3.533681+1 1.690409-4-3.425074+1 1.790370-4-3.521964+1 2.309982-4-3.609802+1 3.981072-4-3.398976+1 5.079788-4-3.436865+1 5.881076-4-3.639419+1 6.408892-4-3.940325+1 6.782481-4-4.354856+1 7.015928-4-4.856250+1 7.148027-4-5.406842+1 7.226405-4-6.063564+1 7.305605-4-6.883825+1 7.361120-4-6.977583+1 7.461056-4-6.350933+1 7.551563-4-5.286721+1 7.622438-4-4.490778+1 7.702453-4-3.956681+1 7.798089-4-3.624791+1 8.023678-4-3.243568+1 8.350000-4-2.914198+1 8.903723-4-2.556913+1 9.399016-4-2.395484+1 9.641115-4-2.428226+1 9.800028-4-2.580719+1 9.872109-4-2.496422+1 9.995256-4-2.177637+1 1.012447-3-2.098832+1 1.040140-3-2.057951+1 1.051487-3-2.048873+1 1.097440-3-1.739748+1 1.150378-3-1.538584+1 1.197510-3-1.464769+1 1.238401-3-1.283066+1 1.303401-3-1.109579+1 1.371409-3-9.761211+0 1.493870-3-8.064421+0 1.610182-3-6.940456+0 1.737801-3-6.086381+0 1.929606-3-5.300270+0 2.164984-3-4.796876+0 2.405748-3-4.600121+0 2.738420-3-4.628905+0 3.111634-3-4.908325+0 3.561815-3-5.496515+0 4.020053-3-6.410620+0 4.354089-3-7.424395+0 4.588028-3-8.519522+0 4.756496-3-9.786569+0 4.854838-3-1.103900+1 4.908320-3-1.223915+1 4.984854-3-1.501915+1 5.013988-3-1.526811+1 5.053721-3-1.421816+1 5.100544-3-1.261074+1 5.145359-3-1.169931+1 5.218237-3-1.108087+1 5.276755-3-1.117859+1 5.351763-3-1.176651+1 5.389852-3-1.137614+1 5.481677-3-9.495294+0 5.555550-3-8.737002+0 5.682703-3-8.415336+0 5.738930-3-7.708408+0 5.815789-3-6.635356+0 5.918171-3-5.714616+0 6.090157-3-4.657280+0 6.278554-3-3.805704+0 6.468744-3-3.149011+0 6.713262-3-2.494464+0 6.980817-3-1.949287+0 7.241509-3-1.535963+0 7.498942-3-1.210875+0 7.671027-3-1.035562+0 7.950430-3-8.005389-1 8.228298-3-6.122827-1 8.511380-3-4.614408-1 8.647687-3-3.979748-1 8.848298-3-3.197293-1 9.087355-3-2.395047-1 9.319434-3-1.755991-1 9.553336-3-1.237480-1 9.741409-3-8.803382-2 9.997929-3-4.509858-2 1.012516-2-2.967313-2 1.025257-2-1.491010-2 1.034909-2-6.296780-3 1.043368-2 2.123788-4 1.044871-2 1.401542-3 1.047068-2 3.022385-3 1.055556-2 8.605308-3 1.071903-2 1.832409-2 1.083738-2 2.407412-2 1.105920-2 3.185884-2 1.127477-2 3.645375-2 1.150000-2 3.754409-2 1.179981-2 3.632804-2 1.213608-2 2.885815-2 1.249899-2 1.620980-2 1.268049-2 8.591028-3 1.277293-2 4.309870-3 1.289177-2-1.035096-3 1.294988-2-3.855746-3 1.319212-2-1.673981-2 1.339712-2-2.850867-2 1.381253-2-5.460470-2 1.446989-2-1.022493-1 1.568725-2-1.950521-1 2.554987-2-1.009406+0 2.857445-2-1.304294+0 3.084789-2-1.597137+0 3.242659-2-1.885132+0 3.350835-2-2.174262+0 3.432116-2-2.502549+0 3.485212-2-2.839535+0 3.523964-2-3.257524+0 3.555702-2-3.852610+0 3.583228-2-4.383813+0 3.600726-2-4.466820+0 3.618175-2-4.269009+0 3.661316-2-3.311570+0 3.691646-2-2.831699+0 3.728749-2-2.457246+0 3.785665-2-2.075833+0 3.859716-2-1.736989+0 3.953982-2-1.427137+0 4.026437-2-1.242558+0 4.140461-2-1.017537+0 4.273091-2-8.236890-1 4.411417-2-6.684479-1 4.562737-2-5.357383-1 4.693396-2-4.423010-1 4.840028-2-3.558765-1 4.945673-2-3.048189-1 5.059769-2-2.574319-1 5.191232-2-2.112266-1 5.309794-2-1.760300-1 5.436169-2-1.437940-1 5.583095-2-1.116225-1 5.718374-2-8.803139-2 5.839255-2-7.080231-2 5.996265-2-5.161835-2 6.129885-2-3.875149-2 6.280921-2-2.658359-2 6.448275-2-1.573463-2 6.602704-2-8.115646-3 6.732930-2-2.703282-3 6.784706-2-4.852164-4 6.809369-2 5.957560-4 6.879837-2 2.276990-3 6.950868-2 4.078987-3 7.048642-2 5.687665-3 7.127899-2 7.133610-3 7.286495-2 8.254065-3 7.495209-2 8.894900-3 7.721100-2 6.993543-3 7.827100-2 6.291070-3 8.008848-2 4.155752-3 8.051736-2 3.709275-3 8.188993-2 1.239802-3 8.209049-2 8.929561-4 8.247530-2 1.829996-4 8.286323-2-4.993431-4 8.401888-2-2.482072-3 8.585312-2-5.899365-3 8.630138-2-6.690789-3 8.782627-2-1.045571-2 8.990909-2-1.512899-2 9.307609-2-2.344277-2 1.010491-1-4.537704-2 1.224043-1-1.024611-1 1.399524-1-1.429332-1 1.659587-1-1.904723-1 1.981605-1-2.331634-1 2.441926-1-2.744335-1 3.153916-1-3.124875-1 4.231974-1-3.421244-1 6.384932-1-3.659936-1 1.228714+0-3.806157-1 3.710658+0-3.856557-1 1.000000+1-3.860775-1 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 4.908020-1 1.070798-6 7.160668-1 1.094654-6 8.126114-1 1.117765-6 9.183622-1 1.140153-6 1.033886+0 1.161842-6 1.159768+0 1.182853-6 1.296616+0 1.203207-6 1.445059+0 1.222926-6 1.605747+0 1.242028-6 1.779350+0 1.260533-6 1.966563+0 1.278460-6 2.168101+0 1.295826-6 2.384701+0 1.328949-6 2.866149+0 1.360033-6 3.417250+0 1.389205-6 4.044697+0 1.416582-6 4.755637+0 1.429633-6 5.145776+0 1.442275-6 5.562236+0 1.466770-6 6.483374+0 1.489734-6 7.510272+0 1.511263-6 8.655807+0 1.531446-6 9.929074+0 1.550368-6 1.133923+1 1.568107-6 1.289562+1 1.584737-6 1.460773+1 1.600328-6 1.648511+1 1.614945-6 1.853740+1 1.628648-6 2.077421+1 1.641495-6 2.320508+1 1.653538-6 2.583947+1 1.664829-6 2.868668+1 1.675414-6 3.175580+1 1.685338-6 3.505567+1 1.694642-6 3.859487+1 1.703364-6 4.238165+1 1.711540-6 4.642393+1 1.719206-6 5.072928+1 1.726393-6 5.530494+1 1.733131-6 6.015789+1 1.739447-6 6.529498+1 1.745369-6 7.072315+1 1.750920-6 7.644945+1 1.756125-6 8.248087+1 1.761004-6 8.882414+1 1.765578-6 9.548567+1 1.769867-6 1.024720+2 1.773887-6 1.097908+2 1.777656-6 1.174517+2 1.784724-6 1.344486+2 1.790907-6 1.531341+2 1.796318-6 1.737092+2 1.801053-6 1.963298+2 1.805195-6 2.210079+2 1.808820-6 2.475520+2 1.811992-6 2.755723+2 1.814767-6 3.045389+2 1.817195-6 3.338604+2 1.819320-6 3.629588+2 1.822806-6 4.185372+2 1.827788-6 5.171534+2 1.835534-6 7.204874+2 1.838708-6 8.213028+2 1.842094-6 9.384116+2 1.843223-6 9.792503+2 1.847738-6 1.148327+3 1.848302-6 1.169793+3 1.852252-6 1.318754+3 1.853804-6 1.375432+3 1.856767-6 1.477883+3 1.858319-6 1.527416+3 1.859800-6 1.571339+3 1.861281-6 1.611473+3 1.863257-6 1.658265+3 1.865161-6 1.695219+3 1.866925-6 1.721554+3 1.868406-6 1.737400+3 1.870311-6 1.748913+3 1.872850-6 1.748165+3 1.874966-6 1.733241+3 1.875752-6 1.724400+3 1.877546-6 1.697651+3 1.879549-6 1.657335+3 1.881682-6 1.603054+3 1.883793-6 1.538806+3 1.885507-6 1.479886+3 1.888579-6 1.361716+3 1.890349-6 1.287930+3 1.891458-6 1.240170+3 1.893166-6 1.164986+3 1.894968-6 1.084436+3 1.897057-6 9.909037+2 1.898527-6 9.257723+2 1.900485-6 8.410252+2 1.901913-6 7.812112+2 1.904735-6 6.698669+2 1.907239-6 5.805130+2 1.910942-6 4.683360+2 1.915598-6 3.668513+2 1.916832-6 3.480809+2 1.917617-6 3.380149+2 1.918795-6 3.257003+2 1.919972-6 3.167968+2 1.920766-6 3.127545+2 1.921743-6 3.100011+2 1.922508-6 3.095756+2 1.923327-6 3.108349+2 1.924119-6 3.137691+2 1.924919-6 3.184664+2 1.925535-6 3.232910+2 1.926136-6 3.290310+2 1.926719-6 3.355729+2 1.927284-6 3.428430+2 1.936033-6 5.825221+2 1.942662-6 9.456963+2 1.945221-6 1.133888+3 1.946716-6 1.256964+3 1.948142-6 1.383693+3 1.949569-6 1.519542+3 1.951962-6 1.768003+3 1.954355-6 2.041852+3 1.959441-6 2.702618+3 1.960002-6 2.781430+3 1.964228-6 3.405455+3 1.965771-6 3.643736+3 1.968716-6 4.107251+3 1.971147-6 4.491931+3 1.973503-6 4.859766+3 1.975933-6 5.227076+3 1.978290-6 5.564305+3 1.980384-6 5.843033+3 1.982698-6 6.122275+3 1.983376-6 6.197556+3 1.986180-6 6.473658+3 1.988371-6 6.645769+3 1.990886-6 6.791900+3 1.993066-6 6.871461+3 1.994496-6 6.899222+3 1.996702-6 6.903828+3 1.998895-6 6.862833+3 2.002523-6 6.699361+3 2.004802-6 6.540072+3 2.007010-6 6.348385+3 2.009441-6 6.100145+3 2.011797-6 5.828056+3 2.013892-6 5.565180+3 2.015911-6 5.297251+3 2.018978-6 4.872153+3 2.021371-6 4.532509+3 2.024064-6 4.150009+3 2.026158-6 3.856722+3 2.030945-6 3.216573+3 2.032590-6 3.009953+3 2.035731-6 2.638899+3 2.039920-6 2.196771+3 2.045712-6 1.689027+3 2.051606-6 1.290186+3 2.054539-6 1.131206+3 2.057460-6 9.956117+2 2.060369-6 8.805225+2 2.063268-6 7.831533+2 2.066155-6 7.009036+2 2.069030-6 6.314143+2 2.071895-6 5.725971+2 2.074748-6 5.226410+2 2.077590-6 4.800045+2 2.080421-6 4.433953+2 2.086061-6 3.840750+2 2.091657-6 3.384285+2 2.097209-6 3.022546+2 2.102718-6 2.728363+2 2.108184-6 2.483989+2 2.113607-6 2.277536+2 2.118988-6 2.100763+2 2.124326-6 1.947742+2 2.129623-6 1.814065+2 2.134879-6 1.696363+2 2.140093-6 1.592000+2 2.150441-6 1.414707+2 2.160626-6 1.270688+2 2.170653-6 1.151634+2 2.180523-6 1.051815+2 2.190239-6 9.671269+1 2.199803-6 8.945371+1 2.209218-6 8.317569+1 2.218485-6 7.770317+1 2.227608-6 7.289858+1 2.236588-6 6.865112+1 2.254267-6 6.143278+1 2.271394-6 5.559199+1 2.287986-6 5.078647+1 2.304060-6 4.677927+1 2.319631-6 4.339641+1 2.334715-6 4.051021+1 2.349328-6 3.802652+1 2.363485-6 3.587117+1 2.390913-6 3.225728+1 2.416627-6 2.940415+1 2.440733-6 2.711165+1 2.463333-6 2.524113+1 2.484521-6 2.369623+1 2.524248-6 2.121173+1 2.559008-6 1.938240+1 2.589424-6 1.800227+1 2.616038-6 1.693828+1 2.662612-6 1.531840+1 2.697542-6 1.426885+1 2.749938-6 1.290785+1 2.843720-6 1.091113+1 2.940286-6 9.267357+0 3.066048-6 7.378652+0 3.106472-6 6.756879+0 3.136790-6 6.260398+0 3.159528-6 5.856314+0 3.176582-6 5.526108+0 3.189372-6 5.257474+0 3.208558-6 4.807941+0 3.218150-6 4.555369+0 3.227743-6 4.279261+0 3.235785-6 4.027268+0 3.243750-6 3.758552+0 3.251714-6 3.472672+0 3.259679-6 3.175769+0 3.267643-6 2.880436+0 3.271438-6 2.746112+0 3.283572-6 2.391337+0 3.285557-6 2.350904+0 3.287542-6 2.317458+0 3.293581-6 2.267795+0 3.295594-6 2.271941+0 3.299621-6 2.317584+0 3.301634-6 2.361280+0 3.303647-6 2.420388+0 3.305978-6 2.509607+0 3.307945-6 2.603399+0 3.309822-6 2.709776+0 3.311699-6 2.833511+0 3.312970-6 2.927614+0 3.315195-6 3.113182+0 3.320201-6 3.633872+0 3.324204-6 4.159875+0 3.335773-6 6.267250+0 3.341261-6 7.574175+0 3.345521-6 8.716201+0 3.349396-6 9.841812+0 3.353066-6 1.097426+1 3.356991-6 1.224292+1 3.360499-6 1.341380+1 3.363090-6 1.429336+1 3.367136-6 1.567540+1 3.371181-6 1.704776+1 3.376346-6 1.874699+1 3.379146-6 1.962707+1 3.387609-6 2.202020+1 3.388545-6 2.225450+1 3.395096-6 2.369041+1 3.397893-6 2.418535+1 3.403233-6 2.491817+1 3.406157-6 2.519803+1 3.410745-6 2.546282+1 3.412935-6 2.551516+1 3.417863-6 2.546474+1 3.419505-6 2.539843+1 3.423573-6 2.513507+1 3.427642-6 2.474217+1 3.433744-6 2.394599+1 3.435778-6 2.363435+1 3.443914-6 2.221790+1 3.452050-6 2.063648+1 3.460187-6 1.901710+1 3.477181-6 1.591121+1 3.484080-6 1.484224+1 3.490763-6 1.392886+1 3.497237-6 1.315637+1 3.503509-6 1.250623+1 3.515661-6 1.148385+1 3.527053-6 1.075026+1 3.537734-6 1.020549+1 3.557759-6 9.427727+0 3.575282-6 8.908575+0 3.605947-6 8.200763+0 3.628945-6 7.770580+0 3.716222-6 6.464644+0 3.734427-6 6.199601+0 3.752631-6 5.911879+0 3.761733-6 5.754510+0 3.770836-6 5.586046+0 3.783055-6 5.342465+0 3.812080-6 4.743243+0 3.816266-6 4.668711+0 3.825449-6 4.534583+0 3.830846-6 4.481270+0 3.834551-6 4.458474+0 3.840229-6 4.448856+0 3.842575-6 4.454743+0 3.849612-6 4.510534+0 3.851958-6 4.542568+0 3.858995-6 4.680934+0 3.861763-6 4.752907+0 3.866605-6 4.902372+0 3.872962-6 5.141742+0 3.881134-6 5.512466+0 3.898400-6 6.438387+0 3.905910-6 6.850536+0 3.908256-6 6.974803+0 3.915293-6 7.325306+0 3.922210-6 7.625435+0 3.928885-6 7.861913+0 3.933303-6 7.985965+0 3.936616-6 8.061088+0 3.941586-6 8.144444+0 3.946555-6 8.192822+0 3.950438-6 8.207010+0 3.954321-6 8.201501+0 3.958264-6 8.177015+0 3.962208-6 8.135017+0 3.971591-6 7.974960+0 3.980974-6 7.750610+0 3.996804-6 7.293540+0 4.036154-6 6.170762+0 4.049555-6 5.855858+0 4.057510-6 5.688814+0 4.069490-6 5.468559+0 4.077484-6 5.345868+0 4.087471-6 5.225100+0 4.097458-6 5.146208+0 4.107445-6 5.114066+0 4.112907-6 5.117069+0 4.121101-6 5.148217+0 4.129295-6 5.208570+0 4.139263-6 5.313437+0 4.159206-6 5.570423+0 4.169165-6 5.688224+0 4.179681-6 5.782256+0 4.184528-6 5.811595+0 4.191798-6 5.836956+0 4.199067-6 5.839460+0 4.209035-6 5.807995+0 4.217302-6 5.756169+0 4.227289-6 5.671916+0 4.248905-6 5.465838+0 4.265126-6 5.341765+0 4.273001-6 5.299729+0 4.288134-6 5.252635+0 4.308786-6 5.237557+0 4.340339-6 5.227783+0 4.363954-6 5.188931+0 4.425289-6 5.051689+0 4.530290-6 4.866122+0 4.582736-6 4.746731+0 4.654727-6 4.576558+0 4.855027-6 4.253893+0 5.080050-6 3.903838+0 5.375787-6 3.478613+0 5.516691-6 3.292191+0 5.765128-6 2.973256+0 5.926633-6 2.778694+0 6.066757-6 2.613462+0 6.240608-6 2.411601+0 6.389602-6 2.242314+0 6.570434-6 2.044129+0 6.668868-6 1.939740+0 6.850000-6 1.754317+0 7.000981-6 1.606525+0 7.099793-6 1.512660+0 7.200000-6 1.418486+0 7.294565-6 1.330917+0 7.393385-6 1.241182+0 7.461530-6 1.180460+0 7.544132-6 1.108307+0 7.640557-6 1.025706+0 7.737377-6 9.443074-1 7.838508-6 8.612046-1 7.908218-6 8.052138-1 7.992688-6 7.392957-1 8.081649-6 6.721753-1 8.192000-6 5.917975-1 8.283295-6 5.281336-1 8.375644-6 4.664098-1 8.453726-6 4.165531-1 8.541539-6 3.633761-1 8.636637-6 3.091616-1 8.752153-6 2.480015-1 8.848692-6 2.012313-1 8.966612-6 1.497264-1 9.032086-6 1.239949-1 9.120108-6 9.302940-2 9.234339-6 5.910766-2 9.335322-6 3.536460-2 9.454405-6 1.541583-2 9.571628-6 4.641510-3 9.600000-6 3.471813-3 9.629323-6 2.903068-3 9.686568-6 3.708443-3 9.743365-6 6.825674-3 9.799719-6 1.127949-2 9.883262-6 1.603447-2 9.897077-6 1.619888-2 9.965802-6 1.399923-2 1.002042-5 1.002858-2 1.007461-5 6.154763-3 1.012837-5 3.639911-3 1.018172-5 3.019174-3 1.023465-5 4.450915-3 1.033968-5 1.359795-2 1.044307-5 3.130813-2 1.054484-5 5.802102-2 1.064503-5 9.411783-2 1.074365-5 1.399060-1 1.084500-5 1.982513-1 1.096500-5 2.829158-1 1.103035-5 3.368254-1 1.112295-5 4.237068-1 1.121410-5 5.221569-1 1.130383-5 6.325901-1 1.142000-5 7.967362-1 1.148048-5 8.923475-1 1.161449-5 1.131488+0 1.165161-5 1.204853+0 1.181739-5 1.572992+0 1.197799-5 1.998677+0 1.213358-5 2.483765+0 1.228430-5 3.033372+0 1.244515-5 3.718776+0 1.257175-5 4.339848+0 1.273503-5 5.261191+0 1.297012-5 6.869260+0 1.333230-5 1.018070+1 1.386430-5 1.764770+1 1.423593-5 2.580000+1 1.440597-5 3.067162+1 1.456539-5 3.610561+1 1.471484-5 4.213373+1 1.485496-5 4.877976+1 1.498631-5 5.606489+1 1.510946-5 6.400738+1 1.522490-5 7.262544+1 1.533314-5 8.193726+1 1.543461-5 9.195672+1 1.552973-5 1.026917+2 1.561891-5 1.141443+2 1.570252-5 1.263107+2 1.578090-5 1.391822+2 1.585439-5 1.527482+2 1.592328-5 1.669980+2 1.598786-5 1.819190+2 1.604841-5 1.974907+2 1.615839-5 2.304462+2 1.625817-5 2.667531+2 1.634548-5 3.048916+2 1.642187-5 3.444401+2 1.648872-5 3.849528+2 1.654721-5 4.259574+2 1.660027-5 4.685875+2 1.664317-5 5.075408+2 1.668235-5 5.472336+2 1.675092-5 6.281173+2 1.680235-5 7.005904+2 1.684092-5 7.632697+2 1.689878-5 8.741865+2 1.695663-5 1.011679+3 1.699837-5 1.133131+3 1.704011-5 1.279681+3 1.708184-5 1.459642+3 1.712358-5 1.684813+3 1.716532-5 1.971801+3 1.719663-5 2.241194+3 1.721779-5 2.456418+3 1.724954-5 2.840737+3 1.728128-5 3.315017+3 1.730245-5 3.691405+3 1.733229-5 4.319182+3 1.737495-5 5.451775+3 1.747134-5 9.329451+3 1.751229-5 1.163950+4 1.753438-5 1.306140+4 1.754763-5 1.397278+4 1.757995-5 1.636888+4 1.759610-5 1.765227+4 1.763380-5 2.082866+4 1.764861-5 2.212988+4 1.768227-5 2.514496+4 1.770584-5 2.725816+4 1.772536-5 2.897721+4 1.774429-5 3.059135+4 1.775879-5 3.177689+4 1.777951-5 3.337219+4 1.780115-5 3.488401+4 1.782499-5 3.632692+4 1.784753-5 3.744025+4 1.787717-5 3.848552+4 1.789929-5 3.892827+4 1.792548-5 3.906106+4 1.793976-5 3.895228+4 1.797983-5 3.797819+4 1.799910-5 3.717634+4 1.801876-5 3.615478+4 1.803527-5 3.515249+4 1.805561-5 3.375696+4 1.807793-5 3.205266+4 1.809501-5 3.064849+4 1.811420-5 2.899325+4 1.813022-5 2.756465+4 1.815083-5 2.569060+4 1.817237-5 2.371532+4 1.819391-5 2.175399+4 1.821815-5 1.959786+4 1.823700-5 1.797806+4 1.828008-5 1.453274+4 1.829489-5 1.344544+4 1.832317-5 1.152211+4 1.835548-5 9.577319+3 1.838200-5 8.182929+3 1.841765-5 6.581947+3 1.846052-5 5.035738+3 1.853193-5 3.218032+3 1.857550-5 2.465281+3 1.860036-5 2.126466+3 1.862212-5 1.874070+3 1.864115-5 1.682078+3 1.867446-5 1.400150+3 1.870000-5 1.222278+3 1.873692-5 1.011048+3 1.877439-5 8.395091+2 1.882060-5 6.717380+2 1.891302-5 4.323655+2 1.897794-5 3.141770+2 1.904137-5 2.257478+2 1.914408-5 1.268477+2 1.919029-5 9.909372+1 1.922559-5 8.574631+1 1.925683-5 8.063345+1 1.928008-5 8.168458+1 1.929170-5 8.400287+1 1.930332-5 8.765273+1 1.931807-5 9.439009+1 1.933098-5 1.024126+2 1.933663-5 1.066006+2 1.934689-5 1.153426+2 1.935154-5 1.198165+2 1.936237-5 1.315436+2 1.937113-5 1.424513+2 1.938290-5 1.592725+2 1.940242-5 1.932330+2 1.946755-5 3.757333+2 1.948353-5 4.408653+2 1.950637-5 5.511358+2 1.952472-5 6.560662+2 1.954392-5 7.831423+2 1.955735-5 8.834778+2 1.957655-5 1.044482+3 1.959603-5 1.230504+3 1.961734-5 1.462025+3 1.962457-5 1.547568+3 1.967518-5 2.251362+3 1.969585-5 2.593439+3 1.971285-5 2.898858+3 1.972948-5 3.218395+3 1.974913-5 3.621121+3 1.979422-5 4.640232+3 1.981525-5 5.153229+3 1.984888-5 6.008113+3 1.986886-5 6.527965+3 1.988446-5 6.935137+3 1.990683-5 7.514954+3 1.993003-5 8.101923+3 1.994971-5 8.580272+3 1.996848-5 9.013606+3 1.999092-5 9.494096+3 2.001605-5 9.973225+3 2.003944-5 1.035323+4 2.005660-5 1.058693+4 2.007944-5 1.083368+4 2.010121-5 1.099688+4 2.012317-5 1.108780+4 2.014619-5 1.110282+4 2.015094-5 1.109574+4 2.018667-5 1.093415+4 2.020775-5 1.075322+4 2.022618-5 1.054717+4 2.024817-5 1.024818+4 2.026969-5 9.905975+3 2.029520-5 9.446981+3 2.032185-5 8.918728+3 2.035195-5 8.280284+3 2.037591-5 7.754010+3 2.041334-5 6.924205+3 2.042382-5 6.694070+3 2.047739-5 5.563921+3 2.052732-5 4.618072+3 2.062294-5 3.187722+3 2.066018-5 2.768059+3 2.069967-5 2.398213+3 2.072674-5 2.184143+3 2.077775-5 1.854011+3 2.083952-5 1.554554+3 2.089221-5 1.361293+3 2.093080-5 1.245750+3 2.097826-5 1.126163+3 2.102927-5 1.018953+3 2.105794-5 9.665248+2 2.109013-5 9.134114+2 2.113871-5 8.432938+2 2.118219-5 7.894634+2 2.121967-5 7.488735+2 2.125252-5 7.171626+2 2.132034-5 6.611669+2 2.147124-5 5.677773+2 2.153373-5 5.368218+2 2.168967-5 4.705335+2 2.193308-5 3.872060+2 2.211137-5 3.379371+2 2.221610-5 3.139559+2 2.229776-5 2.982168+2 2.236568-5 2.872461+2 2.240749-5 2.814734+2 2.247596-5 2.736508+2 2.250947-5 2.705664+2 2.265181-5 2.630820+2 2.272117-5 2.627910+2 2.276977-5 2.638182+2 2.284974-5 2.672621+2 2.299740-5 2.753983+2 2.307683-5 2.779048+2 2.311473-5 2.781653+2 2.316287-5 2.775232+2 2.323515-5 2.746310+2 2.328063-5 2.718509+2 2.339315-5 2.633338+2 2.346790-5 2.575963+2 2.357006-5 2.508982+2 2.363544-5 2.474655+2 2.374710-5 2.428006+2 2.421979-5 2.275194+2 2.512683-5 2.035453+2 2.559487-5 1.932833+2 2.616705-5 1.826233+2 2.687801-5 1.712231+2 2.757449-5 1.616891+2 2.825126-5 1.537187+2 2.915001-5 1.446340+2 3.094841-5 1.293971+2 3.370163-5 1.112447+2 3.523474-5 1.026918+2 3.583444-5 1.005664+2 3.614732-5 9.920669+1 3.678430-5 9.582808+1 3.903952-5 8.626880+1 4.098045-5 7.881946+1 4.332898-5 7.045330+1 4.460412-5 6.613060+1 4.539743-5 6.350871+1 4.677351-5 5.908399+1 4.786301-5 5.565500+1 4.942147-5 5.087354+1 5.045003-5 4.774638+1 5.188000-5 4.348663+1 5.267726-5 4.116332+1 5.449380-5 3.589708+1 5.625762-5 3.083273+1 5.759443-5 2.705631+1 5.888436-5 2.348545+1 6.009983-5 2.019421+1 6.147780-5 1.656035+1 6.244638-5 1.409125+1 6.345999-5 1.161227+1 6.429369-5 9.672200+0 6.516740-5 7.749809+0 6.603753-5 5.971574+0 6.683439-5 4.488830+0 6.723498-5 3.806720+0 6.762932-5 3.183907+0 6.820855-5 2.379162+0 6.877280-5 1.820337+0 6.916409-5 1.668808+0 6.918685-5 1.667411+0 6.960302-5 1.786375+0 7.012573-5 2.260630+0 7.064676-5 2.973644+0 7.098779-5 3.540436+0 7.132349-5 4.175094+0 7.165394-5 4.879046+0 7.197923-5 5.654407+0 7.244360-5 6.914504+0 7.292492-5 8.428256+0 7.353101-5 1.067064+1 7.401069-5 1.274601+1 7.440964-5 1.470055+1 7.500000-5 1.801998+1 7.552093-5 2.142711+1 7.605067-5 2.541939+1 7.656385-5 2.986612+1 7.754261-5 4.023411+1 7.900986-5 6.186632+1 8.125330-5 1.170791+2 8.227257-5 1.564579+2 8.319924-5 2.043899+2 8.376977-5 2.416104+2 8.433504-5 2.859437+2 8.482361-5 3.316961+2 8.530167-5 3.847464+2 8.574985-5 4.436095+2 8.624231-5 5.208973+2 8.656392-5 5.800787+2 8.698176-5 6.696264+2 8.727941-5 7.439165+2 8.760398-5 8.370086+2 8.790826-5 9.380057+2 8.819353-5 1.047228+3 8.846096-5 1.164984+3 8.871169-5 1.291575+3 8.894674-5 1.427298+3 8.916710-5 1.572449+3 8.937369-5 1.727326+3 8.956736-5 1.892237+3 8.974893-5 2.067515+3 8.998301-5 2.329560+3 9.007874-5 2.450722+3 9.022835-5 2.659565+3 9.036861-5 2.880595+3 9.050010-5 3.114354+3 9.074666-5 3.640491+3 9.096239-5 4.225913+3 9.115115-5 4.869521+3 9.131632-5 5.565301+3 9.146084-5 6.302637+3 9.158730-5 7.067694+3 9.169795-5 7.845237+3 9.179477-5 8.620318+3 9.187949-5 9.379534+3 9.202774-5 1.091251+4 9.228487-5 1.428886+4 9.257750-5 1.943884+4 9.272676-5 2.265999+4 9.316890-5 3.453445+4 9.339710-5 4.176140+4 9.342562-5 4.269693+4 9.362530-5 4.932045+4 9.370374-5 5.191083+4 9.385350-5 5.672327+4 9.392548-5 5.893413+4 9.399078-5 6.086052+4 9.409792-5 6.381891+4 9.415231-5 6.520825+4 9.421822-5 6.677576+4 9.431871-5 6.889375+4 9.441805-5 7.063045+4 9.452682-5 7.208646+4 9.465933-5 7.318838+4 9.477343-5 7.352566+4 9.481315-5 7.350975+4 9.492650-5 7.309294+4 9.504581-5 7.208489+4 9.515574-5 7.068238+4 9.527799-5 6.865740+4 9.539440-5 6.635581+4 9.553895-5 6.313073+4 9.571685-5 5.886873+4 9.609484-5 5.025730+4 9.620083-5 4.825177+4 9.633447-5 4.610453+4 9.643933-5 4.474748+4 9.655771-5 4.357540+4 9.666158-5 4.285772+4 9.677167-5 4.239619+4 9.689869-5 4.220601+4 9.704239-5 4.235422+4 9.716155-5 4.269155+4 9.755388-5 4.424172+4 9.780146-5 4.476245+4 9.789414-5 4.474238+4 9.807759-5 4.427135+4 9.816050-5 4.385749+4 9.823242-5 4.339525+4 9.834749-5 4.245954+4 9.843806-5 4.156059+4 9.852225-5 4.060552+4 9.864804-5 3.898567+4 9.872947-5 3.782960+4 9.888671-5 3.540736+4 9.901838-5 3.323996+4 9.917991-5 3.048823+4 9.941219-5 2.652021+4 9.946278-5 2.567396+4 9.978231-5 2.064557+4 1.000134-4 1.746931+4 1.003694-4 1.346142+4 1.006256-4 1.122340+4 1.007959-4 1.000209+4 1.009403-4 9.112175+3 1.011064-4 8.233830+3 1.013554-4 7.158899+3 1.016045-4 6.314410+3 1.018820-4 5.575738+3 1.021600-4 4.991682+3 1.024790-4 4.458862+3 1.027985-4 4.030688+3 1.030949-4 3.702736+3 1.034093-4 3.410217+3 1.037483-4 3.144485+3 1.041134-4 2.903576+3 1.044462-4 2.716594+3 1.048937-4 2.504051+3 1.054750-4 2.279391+3 1.058000-4 2.173666+3 1.060518-4 2.099777+3 1.066242-4 1.953704+3 1.071920-4 1.833194+3 1.077554-4 1.732454+3 1.083539-4 1.641612+3 1.088690-4 1.574097+3 1.094193-4 1.510779+3 1.099653-4 1.455273+3 1.110488-4 1.361362+3 1.121153-4 1.284092+3 1.132010-4 1.216558+3 1.141987-4 1.162113+3 1.152160-4 1.112614+3 1.173030-4 1.025085+3 1.183849-4 9.856273+2 1.203096-4 9.228275+2 1.222587-4 8.671725+2 1.254646-4 7.894795+2 1.288119-4 7.230999+2 1.342315-4 6.366815+2 1.388451-4 5.774840+2 1.465000-4 5.008291+2 1.519022-4 4.580113+2 1.603245-4 4.050806+2 1.686068-4 3.635568+2 1.740000-4 3.382026+2 1.767620-4 3.252705+2 1.798561-4 3.090634+2 1.812102-4 3.018060+2 1.821234-4 2.982314+2 1.829831-4 2.965027+2 1.839968-4 2.964125+2 1.865000-4 2.985318+2 1.888897-4 2.975632+2 1.910634-4 2.954787+2 1.978932-4 2.855634+2 2.007599-4 2.827764+2 2.092283-4 2.810774+2 2.306904-4 2.727549+2 2.426394-4 2.677026+2 2.504714-4 2.622508+2 2.516657-4 2.622705+2 2.534003-4 2.636367+2 2.587628-4 2.714321+2 2.610778-4 2.735180+2 2.851018-4 2.871151+2 2.979490-4 2.933738+2 3.135090-4 3.001241+2 3.292305-4 3.060456+2 3.443905-4 3.109822+2 3.602593-4 3.152080+2 3.772207-4 3.182521+2 4.096000-4 3.208462+2 4.346353-4 3.200624+2 4.631543-4 3.162839+2 4.965651-4 3.075601+2 5.246451-4 2.966864+2 5.427375-4 2.874810+2 5.689098-4 2.689195+2 5.919128-4 2.484348+2 6.095369-4 2.298457+2 6.198564-4 2.177332+2 6.361488-4 1.965167+2 6.455172-4 1.828201+2 6.531305-4 1.706043+2 6.598095-4 1.595499+2 6.648721-4 1.509754+2 6.730044-4 1.367015+2 6.772150-4 1.290543+2 6.828141-4 1.186064+2 6.891510-4 1.064345+2 6.929843-4 9.892734+1 6.986633-4 8.767379+1 7.020701-4 8.089371+1 7.059777-4 7.314770+1 7.097791-4 6.571375+1 7.137203-4 5.821648+1 7.172814-4 5.174853+1 7.198163-4 4.740563+1 7.255058-4 3.884937+1 7.280867-4 3.571289+1 7.305062-4 3.331461+1 7.328246-4 3.158019+1 7.349012-4 3.054461+1 7.361266-4 3.017812+1 7.368949-4 3.004349+1 7.378294-4 2.997900+1 7.392134-4 3.008012+1 7.404615-4 3.036151+1 7.420819-4 3.096027+1 7.443276-4 3.209529+1 7.478133-4 3.401451+1 7.505826-4 3.542125+1 7.517497-4 3.615253+1 7.526721-4 3.694234+1 7.535413-4 3.799023+1 7.543571-4 3.938300+1 7.554875-4 4.229206+1 7.558411-4 4.351341+1 7.565260-4 4.642301+1 7.571681-4 4.993392+1 7.577701-4 5.406543+1 7.583345-4 5.881967+1 7.589013-4 6.460188+1 7.593609-4 7.014440+1 7.598247-4 7.661836+1 7.602607-4 8.360446+1 7.606694-4 9.103337+1 7.610526-4 9.884695+1 7.617710-4 1.159736+2 7.623997-4 1.339533+2 7.638522-4 1.883700+2 7.655306-4 2.793049+2 7.666216-4 3.585134+2 7.673203-4 4.189415+2 7.676774-4 4.530229+2 7.700902-4 7.464985+2 7.708417-4 8.624573+2 7.710789-4 9.016208+2 7.723240-4 1.127792+3 7.730966-4 1.285513+3 7.747292-4 1.660760+3 7.755200-4 1.861313+3 7.767579-4 2.195724+3 7.775495-4 2.419917+3 7.781127-4 2.582872+3 7.785744-4 2.717892+3 7.794203-4 2.966826+3 7.800515-4 3.152181+3 7.808960-4 3.396931+3 7.816639-4 3.613592+3 7.821244-4 3.739725+3 7.830978-4 3.994299+3 7.839534-4 4.201699+3 7.847438-4 4.377393+3 7.857763-4 4.581286+3 7.864958-4 4.705057+3 7.874977-4 4.851595+3 7.884960-4 4.967888+3 7.896308-4 5.065607+3 7.905750-4 5.121197+3 7.918721-4 5.164243+3 7.932089-4 5.175154+3 7.946819-4 5.156935+3 7.957569-4 5.128452+3 7.979235-4 5.041965+3 7.998325-4 4.937824+3 8.016025-4 4.815678+3 8.030056-4 4.697880+3 8.044955-4 4.549447+3 8.058601-4 4.390967+3 8.073944-4 4.187435+3 8.087000-4 3.995201+3 8.098188-4 3.819066+3 8.113213-4 3.570948+3 8.126338-4 3.348723+3 8.135995-4 3.185166+3 8.155353-4 2.866033+3 8.191000-4 2.347325+3 8.209964-4 2.122720+3 8.225910-4 1.964257+3 8.239212-4 1.852752+3 8.250948-4 1.769006+3 8.259540-4 1.715733+3 8.275508-4 1.632892+3 8.290837-4 1.570502+3 8.306302-4 1.521506+3 8.321647-4 1.483978+3 8.341612-4 1.447764+3 8.369075-4 1.414214+3 8.399938-4 1.390475+3 8.426097-4 1.377136+3 8.454915-4 1.366665+3 8.511205-4 1.352936+3 8.671030-4 1.328650+3 8.919689-4 1.303395+3 9.084868-4 1.292270+3 9.539663-4 1.272905+3 9.758408-4 1.260084+3 9.945402-4 1.243388+3 1.008672-3 1.223968+3 1.019066-3 1.202698+3 1.027923-3 1.182218+3 1.033508-3 1.175640+3 1.036354-3 1.176959+3 1.038860-3 1.181666+3 1.041371-3 1.190075+3 1.043538-3 1.200312+3 1.046158-3 1.216054+3 1.055850-3 1.290111+3 1.061126-3 1.325229+3 1.064192-3 1.340329+3 1.066651-3 1.349428+3 1.070052-3 1.358076+3 1.077068-3 1.365882+3 1.089596-3 1.367269+3 1.100470-3 1.366060+3 1.109135-3 1.369218+3 1.114964-3 1.378014+3 1.119698-3 1.390488+3 1.135376-3 1.448183+3 1.142140-3 1.466503+3 1.148124-3 1.476599+3 1.156620-3 1.484965+3 1.181352-3 1.501909+3 1.202914-3 1.511733+3 1.221448-3 1.515273+3 1.257832-3 1.511499+3 1.265440-3 1.516608+3 1.277446-3 1.534064+3 1.296270-3 1.565720+3 1.315033-3 1.586101+3 1.333811-3 1.599978+3 1.379422-3 1.621661+3 1.437948-3 1.636564+3 1.518223-3 1.644829+3 1.638400-3 1.643195+3 1.728000-3 1.634203+3 1.871796-3 1.606505+3 2.006161-3 1.575722+3 2.067983-3 1.560218+3 2.238721-3 1.511299+3 2.423324-3 1.456024+3 2.821426-3 1.342036+3 3.102550-3 1.268823+3 3.383177-3 1.194060+3 3.543509-3 1.152370+3 3.706007-3 1.111004+3 3.873691-3 1.067673+3 4.029235-3 1.027524+3 4.169991-3 9.904826+2 4.313402-3 9.522606+2 4.433215-3 9.193893+2 4.546182-3 8.867706+2 4.643816-3 8.571017+2 4.728109-3 8.298632+2 4.806774-3 8.024454+2 4.867923-3 7.793029+2 4.922417-3 7.567770+2 4.966840-3 7.365239+2 5.007380-3 7.158936+2 5.046186-3 6.932609+2 5.077386-3 6.719330+2 5.101675-3 6.527001+2 5.130899-3 6.263624+2 5.177654-3 5.826698+2 5.198375-3 5.677113+2 5.210623-3 5.616441+2 5.221146-3 5.584688+2 5.228011-3 5.574954+2 5.240950-3 5.580803+2 5.253189-3 5.614615+2 5.267587-3 5.685790+2 5.283085-3 5.792375+2 5.340000-3 6.273287+2 5.358010-3 6.405870+2 5.369854-3 6.481216+2 5.388095-3 6.577782+2 5.411807-3 6.669339+2 5.437502-3 6.730005+2 5.465094-3 6.757159+2 5.491289-3 6.752548+2 5.562968-3 6.667077+2 5.591587-3 6.660976+2 5.606404-3 6.677373+2 5.620268-3 6.707012+2 5.646657-3 6.800750+2 5.688530-3 7.018670+2 5.734179-3 7.264695+2 5.756685-3 7.363523+2 5.781744-3 7.449287+2 5.805869-3 7.508048+2 5.832906-3 7.550286+2 5.906259-3 7.612145+2 5.949161-3 7.686382+2 5.982394-3 7.786955+2 6.074201-3 8.145381+2 6.128352-3 8.308292+2 6.160522-3 8.379976+2 6.209389-3 8.464177+2 6.300155-3 8.572532+2 6.416033-3 8.656471+2 6.560430-3 8.710790+2 6.770490-3 8.722395+2 7.053716-3 8.661336+2 7.359953-3 8.532157+2 7.707599-3 8.339750+2 8.111410-3 8.083133+2 8.694203-3 7.685157+2 9.344301-3 7.238532+2 1.026242-2 6.641634+2 1.127684-2 6.042501+2 1.266193-2 5.338149+2 1.436273-2 4.629622+2 1.597550-2 4.081505+2 1.763155-2 3.610331+2 1.909879-2 3.253274+2 2.059444-2 2.935520+2 2.224270-2 2.629783+2 2.395383-2 2.353528+2 2.591922-2 2.079306+2 2.794821-2 1.835977+2 3.003902-2 1.619577+2 3.166831-2 1.470012+2 3.294601-2 1.361001+2 3.398183-2 1.274984+2 3.472503-2 1.212395+2 3.532221-2 1.159517+2 3.560982-2 1.132274+2 3.583498-2 1.109547+2 3.604597-2 1.086515+2 3.622542-2 1.064946+2 3.637564-2 1.044963+2 3.659022-2 1.012743+2 3.706528-2 9.352366+1 3.721490-2 9.173647+1 3.732731-2 9.090199+1 3.745310-2 9.058018+1 3.757869-2 9.090552+1 3.773931-2 9.210986+1 3.822155-2 9.761488+1 3.839069-2 9.919006+1 3.857003-2 1.004518+2 3.884857-2 1.017170+2 3.916482-2 1.024763+2 3.961351-2 1.028628+2 4.014818-2 1.027306+2 4.072335-2 1.021805+2 4.158793-2 1.008763+2 4.266613-2 9.876683+1 4.422483-2 9.523920+1 4.667893-2 8.938062+1 4.998778-2 8.178268+1 5.325763-2 7.485496+1 5.702099-2 6.766763+1 6.156775-2 6.005766+1 6.871822-2 5.020873+1 7.707084-2 4.133294+1 9.292359-2 2.977300+1 1.118179-1 2.140866+1 1.364382-1 1.489022+1 1.810045-1 8.830147+0 2.226158-1 5.984417+0 2.852084-1 3.722997+0 3.988060-1 1.942372+0 5.889496-1 9.050565-1 9.360412-1 3.624084-1 1.776032+0 1.013798-1 5.363532+0 1.114521-2 1.619761+1 1.222407-3 4.891600+1 1.340386-4 1.477239+2 1.469709-5 4.461192+2 1.611505-6 1.584893+3 1.276831-7 5.011872+3 1.276831-8 1.584893+4 1.276831-9 5.011872+4 1.27683-10 1.000000+5 3.20725-11 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.687600-6 1.258900-6 4.259600-6 1.584900-6 6.751000-6 1.995300-6 1.070000-5 2.511900-6 1.695800-5 3.162300-6 2.687600-5 3.981100-6 4.259500-5 5.011900-6 6.750800-5 6.309600-6 1.069900-4 7.943300-6 1.695700-4 1.000000-5 2.687500-4 1.258900-5 4.259300-4 1.584900-5 6.747000-4 1.995300-5 1.068600-3 2.511900-5 1.692700-3 3.162300-5 2.681500-3 3.981100-5 4.248600-3 5.011900-5 6.730800-3 6.309600-5 1.066200-2 7.943300-5 1.686800-2 1.000000-4 2.667300-2 1.258900-4 4.210400-2 1.584900-4 6.631200-2 1.995300-4 1.040500-1 2.511900-4 1.624100-1 3.162300-4 2.513000-1 3.981100-4 3.828300-1 5.011900-4 5.709200-1 6.309600-4 8.280200-1 7.943300-4 1.159600+0 1.000000-3 1.567000+0 1.258900-3 2.054900+0 1.584900-3 2.652100+0 1.995300-3 3.393200+0 2.511900-3 4.311000+0 3.162300-3 5.419800+0 3.981100-3 6.733800+0 5.011900-3 8.214000+0 6.309600-3 9.797300+0 7.943300-3 1.149100+1 1.000000-2 1.334300+1 1.258900-2 1.533700+1 1.584900-2 1.735300+1 1.995300-2 1.924300+1 2.511900-2 2.093200+1 3.162300-2 2.232400+1 3.981100-2 2.354600+1 5.011900-2 2.438000+1 6.309600-2 2.483800+1 7.943300-2 2.488300+1 1.000000-1 2.452600+1 1.258900-1 2.380500+1 1.584900-1 2.284300+1 1.995300-1 2.165300+1 2.511900-1 2.031100+1 3.162300-1 1.888000+1 3.981100-1 1.740800+1 5.011900-1 1.593700+1 6.309600-1 1.449500+1 7.943300-1 1.309500+1 1.000000+0 1.176100+1 1.258900+0 1.049100+1 1.584900+0 9.299700+0 1.995300+0 8.189900+0 2.511900+0 7.166300+0 3.162300+0 6.231800+0 3.981100+0 5.386900+0 5.011900+0 4.630600+0 6.309600+0 3.959800+0 7.943300+0 3.369800+0 1.000000+1 2.855000+0 1.258900+1 2.409100+0 1.584900+1 2.025400+0 1.995300+1 1.697200+0 2.511900+1 1.417900+0 3.162300+1 1.181300+0 3.981100+1 9.818600-1 5.011900+1 8.142500-1 6.309600+1 6.739100-1 7.943300+1 5.567400-1 1.000000+2 4.591800-1 1.258900+2 3.781400-1 1.584900+2 3.109800-1 1.995300+2 2.554200-1 2.511900+2 2.095400-1 3.162300+2 1.717100-1 3.981100+2 1.405700-1 5.011900+2 1.149700-1 6.309600+2 9.395300-2 7.943300+2 7.671300-2 1.000000+3 6.258900-2 1.258900+3 5.102800-2 1.584900+3 4.157400-2 1.995300+3 3.385000-2 2.511900+3 2.754400-2 3.162300+3 2.240000-2 3.981100+3 1.820700-2 5.011900+3 1.479100-2 6.309600+3 1.201000-2 7.943300+3 9.746700-3 1.000000+4 7.906600-3 1.258900+4 6.411100-3 1.584900+4 5.196200-3 1.995300+4 4.209900-3 2.511900+4 3.409500-3 3.162300+4 2.760200-3 3.981100+4 2.233800-3 5.011900+4 1.807200-3 6.309600+4 1.461500-3 7.943300+4 1.181600-3 1.000000+5 9.549900-4 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994176-4 2.511886-4 2.510168-4 3.162278-4 3.159563-4 3.981072-4 3.976792-4 5.011872-4 5.005145-4 6.309573-4 6.299032-4 7.943282-4 7.926804-4 1.000000-3 9.974385-4 1.258925-3 1.254932-3 1.584893-3 1.578659-3 1.995262-3 1.985457-3 2.511886-3 2.496494-3 3.162278-3 3.138083-3 3.981072-3 3.943106-3 5.011872-3 4.952546-3 6.309573-3 6.217266-3 7.943282-3 7.799748-3 1.000000-2 9.776451-3 1.258925-2 1.224121-2 1.584893-2 1.530941-2 1.995262-2 1.912152-2 2.511886-2 2.384520-2 3.162278-2 2.967793-2 3.981072-2 3.685838-2 5.011872-2 4.565600-2 6.309573-2 5.639967-2 7.943282-2 6.947014-2 1.000000-1 8.531660-2 1.258925-1 1.044947-1 1.584893-1 1.274190-1 1.995262-1 1.549334-1 2.511886-1 1.877645-1 3.162278-1 2.268115-1 3.981072-1 2.730993-1 5.011872-1 3.278156-1 6.309573-1 3.923577-1 7.943282-1 4.684010-1 1.000000+0 5.577482-1 1.258925+0 6.631359-1 1.584893+0 7.874167-1 1.995262+0 9.345191-1 2.511886+0 1.109076+0 3.162278+0 1.316784+0 3.981072+0 1.564718+0 5.011872+0 1.861595+0 6.309573+0 2.217749+0 7.943282+0 2.646251+0 1.000000+1 3.162879+0 1.258925+1 3.786916+0 1.584893+1 4.542066+0 1.995262+1 5.457285+0 2.511886+1 6.568039+0 3.162278+1 7.918121+0 3.981072+1 9.560633+0 5.011872+1 1.156131+1 6.309573+1 1.400092+1 7.943282+1 1.697858+1 1.000000+2 2.061588+1 1.258925+2 2.506319+1 1.584893+2 3.050476+1 1.995262+2 3.716834+1 2.511886+2 4.533333+1 3.162278+2 5.534592+1 3.981072+2 6.763034+1 5.011872+2 8.271356+1 6.309573+2 1.012429+2 7.943282+2 1.240192+2 1.000000+3 1.520277+2 1.258925+3 1.864916+2 1.584893+3 2.289199+2 1.995262+3 2.811787+2 2.511886+3 3.455661+2 3.162278+3 4.249384+2 3.981072+3 5.228227+2 5.011872+3 6.435831+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88191-10 1.995262-5 1.090613-9 2.511886-5 1.728477-9 3.162278-5 2.739489-9 3.981072-5 4.341857-9 5.011872-5 6.881044-9 6.309573-5 1.090495-8 7.943282-5 1.727630-8 1.000000-4 2.737191-8 1.258925-4 4.335615-8 1.584893-4 6.864898-8 1.995262-4 1.086554-7 2.511886-4 1.718746-7 3.162278-4 2.715086-7 3.981072-4 4.279415-7 5.011872-4 6.727111-7 6.309573-4 1.054157-6 7.943282-4 1.647832-6 1.000000-3 2.561508-6 1.258925-3 3.993262-6 1.584893-3 6.234453-6 1.995262-3 9.805544-6 2.511886-3 1.539240-5 3.162278-3 2.419505-5 3.981072-3 3.796558-5 5.011872-3 5.932680-5 6.309573-3 9.230713-5 7.943282-3 1.435341-4 1.000000-2 2.235485-4 1.258925-2 3.480435-4 1.584893-2 5.395171-4 1.995262-2 8.311036-4 2.511886-2 1.273665-3 3.162278-2 1.944846-3 3.981072-2 2.952334-3 5.011872-2 4.462724-3 6.309573-2 6.696064-3 7.943282-2 9.962688-3 1.000000-1 1.468340-2 1.258925-1 2.139789-2 1.584893-1 3.107037-2 1.995262-1 4.459288-2 2.511886-1 6.342410-2 3.162278-1 8.941628-2 3.981072-1 1.250078-1 5.011872-1 1.733716-1 6.309573-1 2.385996-1 7.943282-1 3.259272-1 1.000000+0 4.422518-1 1.258925+0 5.957896-1 1.584893+0 7.974765-1 1.995262+0 1.060743+0 2.511886+0 1.402810+0 3.162278+0 1.845494+0 3.981072+0 2.416353+0 5.011872+0 3.150277+0 6.309573+0 4.091824+0 7.943282+0 5.297032+0 1.000000+1 6.837121+0 1.258925+1 8.802339+0 1.584893+1 1.130687+1 1.995262+1 1.449534+1 2.511886+1 1.855083+1 3.162278+1 2.370466+1 3.981072+1 3.025008+1 5.011872+1 3.855741+1 6.309573+1 4.909481+1 7.943282+1 6.245425+1 1.000000+2 7.938412+1 1.258925+2 1.008294+2 1.584893+2 1.279846+2 1.995262+2 1.623579+2 2.511886+2 2.058553+2 3.162278+2 2.608818+2 3.981072+2 3.304768+2 5.011872+2 4.184737+2 6.309573+2 5.297145+2 7.943282+2 6.703090+2 1.000000+3 8.479723+2 1.258925+3 1.072434+3 1.584893+3 1.355973+3 1.995262+3 1.714084+3 2.511886+3 2.166320+3 3.162278+3 2.737339+3 3.981072+3 3.458249+3 5.011872+3 4.368289+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.640000-6 2.455217+6 5.011872-6 1.681515+6 5.308844-6 1.259367+6 5.600000-6 9.570620+5 5.888437-6 7.347307+5 6.200000-6 5.562940+5 6.531306-6 4.168675+5 6.850000-6 3.179580+5 7.200000-6 2.377480+5 7.585776-6 1.739540+5 8.035261-6 1.222812+5 8.810489-6 6.915924+4 9.120108-6 5.613883+4 9.350000-6 4.854220+4 9.600000-6 4.189600+4 9.772372-6 3.813490+4 9.960000-6 3.468820+4 1.015000-5 3.179240+4 1.027000-5 3.023340+4 1.042000-5 2.854540+4 1.060000-5 2.685960+4 1.077000-5 2.556580+4 1.092000-5 2.463560+4 1.110000-5 2.374820+4 1.127000-5 2.311140+4 1.142000-5 2.269180+4 1.161449-5 2.232055+4 1.180000-5 2.212460+4 1.202264-5 2.206241+4 1.222000-5 2.214080+4 1.244515-5 2.235793+4 1.273503-5 2.280039+4 1.303167-5 2.339974+4 1.348963-5 2.453836+4 1.423200-5 2.670057+4 1.548817-5 3.060812+4 1.621810-5 3.280101+4 1.698244-5 3.495109+4 1.778279-5 3.700785+4 1.870000-5 3.910640+4 1.950000-5 4.071400+4 2.041738-5 4.230962+4 2.150000-5 4.386700+4 2.200000-5 4.443378+4 2.200000-5 1.421415+7 2.270000-5 1.273615+7 2.317395-5 1.184651+7 2.400000-5 1.045358+7 2.430000-5 1.000007+7 2.430000-5 1.689101+7 2.483133-5 1.568762+7 2.540973-5 1.448064+7 2.630268-5 1.284264+7 2.691535-5 1.184698+7 2.851018-5 9.683697+6 2.884032-5 9.298701+6 3.019952-5 7.896328+6 3.126079-5 6.985751+6 3.198895-5 6.433063+6 3.400000-5 5.172619+6 3.427678-5 5.024866+6 3.630781-5 4.085270+6 3.839000-5 3.351902+6 3.839000-5 3.418507+6 3.900000-5 3.239511+6 3.935501-5 3.141205+6 4.000000-5 2.975595+6 4.120975-5 2.696113+6 4.168694-5 2.595846+6 4.220000-5 2.493804+6 4.265795-5 2.409167+6 4.365158-5 2.238837+6 4.400000-5 2.183763+6 4.466836-5 2.083271+6 4.500000-5 2.035891+6 4.518559-5 2.010588+6 4.677351-5 1.811522+6 4.731513-5 1.750138+6 4.786301-5 1.692466+6 4.841724-5 1.637701+6 4.850000-5 1.629755+6 5.011872-5 1.485027+6 5.150000-5 1.378898+6 5.188000-5 1.352158+6 5.248075-5 1.311306+6 5.308844-5 1.272952+6 5.400000-5 1.218751+6 5.500000-5 1.163139+6 5.623413-5 1.102626+6 5.754399-5 1.043580+6 5.821032-5 1.016461+6 6.025596-5 9.407416+5 6.070000-5 9.261361+5 6.165950-5 8.955569+5 6.309573-5 8.538092+5 6.531306-5 7.973232+5 6.606934-5 7.796675+5 6.839116-5 7.316251+5 6.918310-5 7.165048+5 7.161434-5 6.752250+5 7.244360-5 6.621967+5 7.328245-5 6.500023+5 7.500000-5 6.263068+5 7.585776-5 6.151060+5 7.852356-5 5.839100+5 7.943282-5 5.741883+5 8.000000-5 5.681521+5 8.222426-5 5.465502+5 8.413951-5 5.296039+5 8.500000-5 5.221651+5 8.650000-5 5.101559+5 8.709636-5 5.056337+5 9.015711-5 4.835733+5 9.500000-5 4.533559+5 9.660509-5 4.443416+5 9.772372-5 4.384891+5 9.946000-5 4.294953+5 9.946000-5 1.857237+6 9.977000-5 1.983229+6 1.000000-4 2.075199+6 1.002000-4 2.152413+6 1.005000-4 2.264301+6 1.008500-4 2.390082+6 1.012000-4 2.509498+6 1.016500-4 2.655569+6 1.020000-4 2.762588+6 1.021600-4 2.807886+6 1.021600-4 3.726310+6 1.024000-4 3.856409+6 1.025000-4 3.909411+6 1.027000-4 4.013661+6 1.028000-4 4.063990+6 1.031000-4 4.212042+6 1.032000-4 4.260739+6 1.034000-4 4.352609+6 1.037000-4 4.488409+6 1.041000-4 4.653856+6 1.042000-4 4.693941+6 1.045000-4 4.805642+6 1.047129-4 4.883107+6 1.052000-4 5.039961+6 1.056500-4 5.163189+6 1.058000-4 5.202097+6 1.060000-4 5.246364+6 1.064000-4 5.329069+6 1.065000-4 5.347728+6 1.069500-4 5.415151+6 1.071519-4 5.440703+6 1.075000-4 5.474340+6 1.077000-4 5.489114+6 1.080000-4 5.502883+6 1.083927-4 5.512039+6 1.086000-4 5.510805+6 1.090000-4 5.500559+6 1.092000-4 5.491485+6 1.096478-4 5.459614+6 1.100000-4 5.427476+6 1.102000-4 5.404738+6 1.109175-4 5.310428+6 1.110000-4 5.298033+6 1.117000-4 5.181036+6 1.120000-4 5.126445+6 1.122018-4 5.087179+6 1.125000-4 5.029901+6 1.131000-4 4.907442+6 1.135011-4 4.822541+6 1.145000-4 4.605438+6 1.148154-4 4.536152+6 1.150000-4 4.494607+6 1.156000-4 4.362865+6 1.161449-4 4.242688+6 1.170000-4 4.057757+6 1.180000-4 3.847354+6 1.188502-4 3.674992+6 1.190000-4 3.644927+6 1.208000-4 3.306420+6 1.208200-4 3.302822+6 1.216186-4 3.159920+6 1.230269-4 2.925966+6 1.241300-4 2.754977+6 1.260000-4 2.487730+6 1.273503-4 2.312158+6 1.290000-4 2.115629+6 1.303167-4 1.971909+6 1.330000-4 1.715908+6 1.350000-4 1.551682+6 1.365000-4 1.441906+6 1.380384-4 1.341420+6 1.390000-4 1.283410+6 1.400000-4 1.227882+6 1.415000-4 1.151776+6 1.430000-4 1.083977+6 1.435000-4 1.063012+6 1.450000-4 1.005072+6 1.465000-4 9.541248+5 1.472000-4 9.324755+5 1.479108-4 9.118528+5 1.485000-4 8.952445+5 1.495000-4 8.692554+5 1.500000-4 8.571124+5 1.513561-4 8.267997+5 1.515000-4 8.237932+5 1.531087-4 7.929468+5 1.548817-4 7.642280+5 1.550000-4 7.625081+5 1.566751-4 7.400144+5 1.585000-4 7.199399+5 1.603245-4 7.039121+5 1.621810-4 6.912753+5 1.640590-4 6.819205+5 1.643000-4 6.808939+5 1.659587-4 6.753859+5 1.660000-4 6.752490+5 1.663400-4 6.743301+5 1.680000-4 6.710525+5 1.698244-4 6.697293+5 1.705000-4 6.695911+5 1.720000-4 6.703583+5 1.732100-4 6.715713+5 1.740000-4 6.728309+5 1.760000-4 6.768349+5 1.790000-4 6.857408+5 1.800000-4 6.891457+5 1.820000-4 6.969448+5 1.840772-4 7.059096+5 1.850000-4 7.099429+5 1.862087-4 7.152625+5 1.865000-4 7.165966+5 1.883500-4 7.256742+5 1.883500-4 1.083832+6 1.883649-4 1.083893+6 1.930000-4 1.103601+6 1.995262-4 1.134210+6 2.042100-4 1.156364+6 2.042100-4 1.271805+6 2.065380-4 1.282902+6 2.113489-4 1.304004+6 2.137962-4 1.315131+6 2.190000-4 1.336075+6 2.213095-4 1.346033+6 2.290868-4 1.374712+6 2.371374-4 1.399683+6 2.454709-4 1.420516+6 2.500000-4 1.428450+6 2.540973-4 1.435761+6 2.563500-4 1.438444+6 2.563500-4 1.582981+6 2.570396-4 1.583585+6 2.600160-4 1.586224+6 2.614700-4 1.587521+6 2.630268-4 1.588968+6 2.730000-4 1.592681+6 2.818383-4 1.591470+6 2.830000-4 1.591247+6 2.851018-4 1.589675+6 2.917427-4 1.584409+6 2.951209-4 1.581841+6 3.019952-4 1.572963+6 3.054921-4 1.568462+6 3.090295-4 1.563043+6 3.198895-4 1.543834+6 3.235937-4 1.536887+6 3.311311-4 1.521323+6 3.350000-4 1.513170+6 3.388442-4 1.504617+6 3.467369-4 1.485766+6 3.507519-4 1.476419+6 3.548134-4 1.466421+6 3.550000-4 1.465953+6 3.600000-4 1.452538+6 3.672823-4 1.433372+6 3.715352-4 1.421951+6 3.850000-4 1.384292+6 3.935501-4 1.359982+6 3.981072-4 1.346649+6 4.073803-4 1.320271+6 4.120975-4 1.306788+6 4.168694-4 1.293358+6 4.216965-4 1.279371+6 4.265795-4 1.265333+6 4.315191-4 1.251441+6 4.430000-4 1.219349+6 4.500000-4 1.199692+6 4.518559-4 1.194554+6 4.570882-4 1.180277+6 4.623810-4 1.165479+6 4.700000-4 1.144779+6 4.850000-4 1.104588+6 4.954502-4 1.077323+6 5.000000-4 1.065777+6 5.011872-4 1.062769+6 5.069907-4 1.047805+6 5.128614-4 1.033047+6 5.188000-4 1.018480+6 5.248075-4 1.003793+6 5.370318-4 9.749001+5 5.500000-4 9.448847+5 5.559043-4 9.316220+5 5.623413-4 9.172499+5 5.754399-4 8.890982+5 5.888437-4 8.609625+5 5.956621-4 8.472176+5 6.025596-4 8.334533+5 6.200000-4 7.999857+5 6.237348-4 7.929554+5 6.382635-4 7.663575+5 6.606934-4 7.275567+5 6.683439-4 7.147837+5 6.700000-4 7.120653+5 6.760830-4 7.021424+5 6.839116-4 6.896989+5 6.850000-4 6.879911+5 6.998420-4 6.650609+5 7.161434-4 6.412337+5 7.244360-4 6.294105+5 7.413102-4 6.064162+5 7.498942-4 5.949882+5 7.585776-4 5.837673+5 7.673615-4 5.727169+5 7.762471-4 5.618730+5 7.904900-4 5.448339+5 7.904900-4 1.974573+6 7.978500-4 1.985167+6 8.035261-4 1.985103+6 8.066400-4 1.985059+6 8.066400-4 2.923460+6 8.100000-4 2.928580+6 8.180000-4 2.936578+6 8.191000-4 2.936425+6 8.280000-4 2.929996+6 8.317638-4 2.922761+6 8.413951-4 2.892823+6 8.450000-4 2.878188+6 8.470000-4 2.868152+6 8.520000-4 2.828180+6 8.609938-4 2.755142+6 8.709636-4 2.677274+6 8.780000-4 2.624110+6 8.810489-4 2.600524+6 8.912509-4 2.529084+6 9.000000-4 2.470037+6 9.015711-4 2.460168+6 9.120108-4 2.398046+6 9.225714-4 2.337363+6 9.332543-4 2.278899+6 9.500000-4 2.191446+6 9.700000-4 2.093138+6 9.772372-4 2.059345+6 9.885531-4 2.008081+6 1.000000-3 1.958099+6 1.023293-3 1.861654+6 1.035142-3 1.815216+6 1.047129-3 1.769817+6 1.050000-3 1.758976+6 1.057000-3 1.732611+6 1.057000-3 1.978631+6 1.059254-3 1.970081+6 1.075000-3 1.911944+6 1.083927-3 1.879067+6 1.098000-3 1.828875+6 1.109175-3 1.790051+6 1.122018-3 1.746950+6 1.132200-3 1.712841+6 1.132200-3 1.806860+6 1.140000-3 1.782274+6 1.142000-3 1.776054+6 1.150000-3 1.751068+6 1.160000-3 1.720624+6 1.161449-3 1.716209+6 1.170000-3 1.690263+6 1.190000-3 1.630738+6 1.216186-3 1.557179+6 1.244515-3 1.481465+6 1.258925-3 1.444548+6 1.273400-3 1.408844+6 1.273400-3 1.471381+6 1.273503-3 1.471126+6 1.288250-3 1.435380+6 1.303167-3 1.400547+6 1.318257-3 1.365887+6 1.333521-3 1.331967+6 1.348963-3 1.298736+6 1.364583-3 1.266219+6 1.380384-3 1.234530+6 1.412538-3 1.173436+6 1.428894-3 1.143464+6 1.445440-3 1.114265+6 1.450000-3 1.106415+6 1.479108-3 1.058200+6 1.500000-3 1.025496+6 1.513561-3 1.004968+6 1.531087-3 9.792456+5 1.548817-3 9.541496+5 1.570000-3 9.252480+5 1.603245-3 8.824106+5 1.621810-3 8.595524+5 1.640590-3 8.372957+5 1.650000-3 8.264604+5 1.678804-3 7.943593+5 1.690000-3 7.823608+5 1.717908-3 7.535060+5 1.757924-3 7.139671+5 1.778279-3 6.950053+5 1.819701-3 6.584532+5 1.850000-3 6.334123+5 1.862087-3 6.238117+5 1.883649-3 6.071990+5 1.905461-3 5.909678+5 1.950000-3 5.595643+5 1.972423-3 5.445909+5 2.018366-3 5.155518+5 2.041738-3 5.016367+5 2.089296-3 4.749659+5 2.113489-3 4.621902+5 2.137962-3 4.497655+5 2.150000-3 4.437786+5 2.162719-3 4.375184+5 2.187762-3 4.255665+5 2.213095-3 4.139276+5 2.238721-3 4.026087+5 2.371374-3 3.503498+5 2.400000-3 3.403453+5 2.426610-3 3.313993+5 2.454709-3 3.222199+5 2.483133-3 3.132380+5 2.600160-3 2.798678+5 2.691535-3 2.572284+5 2.722701-3 2.500730+5 2.754229-3 2.430617+5 2.786121-3 2.362234+5 2.851018-3 2.231471+5 2.951209-3 2.048998+5 3.019952-3 1.935800+5 3.054921-3 1.881003+5 3.090295-3 1.827802+5 3.126079-3 1.775840+5 3.162278-3 1.725428+5 3.198895-3 1.676516+5 3.235937-3 1.628998+5 3.300000-3 1.550998+5 3.388442-3 1.451900+5 3.400000-3 1.439562+5 3.427678-3 1.410474+5 3.507519-3 1.330815+5 3.548134-3 1.292709+5 3.589219-3 1.255748+5 3.630781-3 1.219891+5 3.672823-3 1.185011+5 3.715352-3 1.151176+5 3.758374-3 1.118269+5 3.845918-3 1.054863+5 3.935501-3 9.947643+4 4.000000-3 9.544666+4 4.027170-3 9.381843+4 4.073803-3 9.110317+4 4.168694-3 8.591627+4 4.216965-3 8.343675+4 4.265795-3 8.101808+4 4.315191-3 7.866591+4 4.415704-3 7.415638+4 4.466836-3 7.200182+4 4.518559-3 6.990784+4 4.570882-3 6.787004+4 4.623810-3 6.589411+4 4.677351-3 6.397576+4 4.731513-3 6.210319+4 4.841724-3 5.852808+4 4.897788-3 5.681127+4 4.954502-3 5.514643+4 5.011872-3 5.353084+4 5.069907-3 5.195838+4 5.128614-3 5.043323+4 5.188000-3 4.895018+4 5.243400-3 4.762222+4 5.243400-3 1.389820+5 5.248075-3 1.387271+5 5.308844-3 1.354782+5 5.340000-3 1.338530+5 5.400000-3 1.304191+5 5.432503-3 1.284027+5 5.500000-3 1.243481+5 5.559043-3 1.209443+5 5.630300-3 1.170060+5 5.630300-3 1.594033+5 5.688529-3 1.556928+5 5.700000-3 1.549763+5 5.740000-3 1.523613+5 5.754399-3 1.513921+5 5.821032-3 1.470173+5 5.888437-3 1.426292+5 5.956621-3 1.383731+5 5.960800-3 1.381174+5 5.960800-3 1.593128+5 6.165950-3 1.463333+5 6.237348-3 1.421231+5 6.309573-3 1.380344+5 6.350000-3 1.358166+5 6.382635-3 1.340798+5 6.456542-3 1.302618+5 6.531306-3 1.265555+5 6.650000-3 1.209111+5 6.683439-3 1.193629+5 6.760830-3 1.158807+5 6.918310-3 1.092261+5 7.079458-3 1.029640+5 7.161434-3 9.996652+4 7.244360-3 9.703650+4 7.328245-3 9.419401+4 7.585776-3 8.610782+4 7.673615-3 8.357087+4 7.800000-3 8.010274+4 7.943282-3 7.638604+4 8.035261-3 7.411712+4 8.128305-3 7.191582+4 8.222426-3 6.977912+4 8.317638-3 6.770721+4 8.413951-3 6.569462+4 8.609938-3 6.184859+4 8.810489-3 5.822869+4 9.120108-3 5.318090+4 9.225714-3 5.159917+4 9.332543-3 5.006449+4 9.660509-3 4.572233+4 9.772372-3 4.435299+4 9.885531-3 4.302401+4 1.000000-2 4.173584+4 1.011579-2 4.048603+4 1.023293-2 3.926018+4 1.035142-2 3.807214+4 1.047129-2 3.692068+4 1.059254-2 3.580414+4 1.071519-2 3.472212+4 1.083927-2 3.367336+4 1.096478-2 3.265022+4 1.135011-2 2.976530+4 1.148154-2 2.886033+4 1.150000-2 2.873632+4 1.161449-2 2.798347+4 1.174898-2 2.713399+4 1.188502-2 2.631092+4 1.202264-2 2.551211+4 1.216186-2 2.473810+4 1.230269-2 2.398187+4 1.288250-2 2.118310+4 1.303167-2 2.053721+4 1.318257-2 1.990621+4 1.333521-2 1.929516+4 1.348963-2 1.870088+4 1.350000-2 1.866189+4 1.364583-2 1.812502+4 1.380384-2 1.756732+4 1.400000-2 1.690713+4 1.412538-2 1.650067+4 1.428894-2 1.599045+4 1.462177-2 1.501811+4 1.479108-2 1.455487+4 1.500000-2 1.401029+4 1.513561-2 1.367192+4 1.531087-2 1.325121+4 1.548817-2 1.284349+4 1.580000-2 1.216785+4 1.584893-2 1.206560+4 1.603245-2 1.168963+4 1.621810-2 1.132535+4 1.678804-2 1.030079+4 1.698244-2 9.980710+3 1.717908-2 9.670841+3 1.737801-2 9.369570+3 1.757924-2 9.077868+3 1.778279-2 8.795307+3 1.800000-2 8.507107+3 1.819701-2 8.256714+3 1.840772-2 8.000095+3 1.862087-2 7.750413+3 1.883649-2 7.507311+3 1.949845-2 6.823870+3 1.995262-2 6.403992+3 2.000000-2 6.362267+3 2.018366-2 6.204018+3 2.041738-2 6.010428+3 2.065380-2 5.822741+3 2.080000-2 5.710024+3 2.089296-2 5.639677+3 2.150000-2 5.208505+3 2.187762-2 4.962027+3 2.213095-2 4.805481+3 2.238721-2 4.653993+3 2.264644-2 4.507399+3 2.290000-2 4.370131+3 2.290868-2 4.365535+3 2.344229-2 4.095327+3 2.371374-2 3.966562+3 2.426610-2 3.721224+3 2.500000-2 3.424480+3 2.511886-2 3.379400+3 2.570396-2 3.168214+3 2.600160-2 3.067625+3 2.630268-2 2.970306+3 2.722701-2 2.696864+3 2.754229-2 2.611492+3 2.786121-2 2.528816+3 2.818383-2 2.448821+3 2.851018-2 2.371413+3 2.951209-2 2.152342+3 2.985383-2 2.083768+3 3.019952-2 2.017430+3 3.054921-2 1.953017+3 3.126079-2 1.830416+3 3.171060-2 1.758336+3 3.235937-2 1.661033+3 3.273407-2 1.608155+3 3.311311-2 1.556992+3 3.349654-2 1.507156+3 3.467369-2 1.367210+3 3.507519-2 1.323574+3 3.548134-2 1.281229+3 3.589219-2 1.240210+3 3.672823-2 1.162154+3 3.744900-2 1.100024+3 3.744900-2 6.467960+3 3.801894-2 6.229727+3 3.845918-2 6.053846+3 3.870000-2 5.960588+3 3.890451-2 5.876491+3 3.935501-2 5.696907+3 3.981072-2 5.522836+3 4.073803-2 5.210552+3 4.120975-2 5.061144+3 4.168694-2 4.908467+3 4.216965-2 4.760380+3 4.265795-2 4.616712+3 4.365158-2 4.342313+3 4.415704-2 4.211307+3 4.500000-2 4.004431+3 4.518559-2 3.961371+3 4.570882-2 3.843367+3 4.623810-2 3.728857+3 4.677351-2 3.617775+3 4.786301-2 3.405485+3 4.841724-2 3.304082+3 4.897788-2 3.205714+3 4.954502-2 3.110265+3 5.128614-2 2.834707+3 5.188000-2 2.748306+3 5.248075-2 2.664547+3 5.308844-2 2.583316+3 5.432503-2 2.428226+3 5.495409-2 2.354220+3 5.559043-2 2.282476+3 5.623413-2 2.212927+3 5.754399-2 2.078130+3 5.821032-2 2.013853+3 5.956621-2 1.891193+3 6.025596-2 1.832692+3 6.309573-2 1.616031+3 6.382635-2 1.566003+3 6.531306-2 1.470552+3 6.760830-2 1.338204+3 6.918310-2 1.256661+3 7.000000-2 1.217018+3 7.079458-2 1.179478+3 7.161434-2 1.142383+3 7.244360-2 1.106413+3 7.498942-2 1.005175+3 7.585776-2 9.735358+2 7.943282-2 8.566460+2 8.222426-2 7.783050+2 8.317638-2 7.538200+2 8.511380-2 7.071322+2 8.609938-2 6.848864+2 8.709636-2 6.633182+2 8.810489-2 6.424306+2 9.015711-2 6.021219+2 9.660509-2 4.957660+2 9.885531-2 4.646736+2 1.000000-1 4.498648+2 1.023293-1 4.216505+2 1.035142-1 4.082155+2 1.047129-1 3.952086+2 1.059254-1 3.826044+2 1.109175-1 3.360870+2 1.135011-1 3.148318+2 1.188502-1 2.762735+2 1.202264-1 2.673980+2 1.230269-1 2.504939+2 1.244515-1 2.424475+2 1.258925-1 2.346605+2 1.273503-1 2.271234+2 1.303167-1 2.127670+2 1.348963-1 1.929216+2 1.380384-1 1.807250+2 1.396368-1 1.749194+2 1.412538-1 1.693003+2 1.428894-1 1.638627+2 1.479108-1 1.485762+2 1.531088-1 1.347192+2 1.573050-1 1.247807+2 1.621810-1 1.144412+2 1.640590-1 1.107683+2 1.698244-1 1.004428+2 1.717908-1 9.722001+1 1.737801-1 9.410060+1 1.778279-1 8.815942+1 1.819701-1 8.259446+1 1.840772-1 7.994531+1 1.883649-1 7.489939+1 1.905461-1 7.249721+1 1.949845-1 6.792276+1 2.000000-1 6.321149+1 2.018366-1 6.159713+1 2.041738-1 5.962243+1 2.065380-1 5.771122+1 2.089296-1 5.586131+1 2.162719-1 5.066104+1 2.187762-1 4.905535+1 2.213095-1 4.750095+1 2.238721-1 4.599586+1 2.264644-1 4.453847+1 2.290868-1 4.312732+1 2.317395-1 4.176094+1 2.344229-1 4.043795+1 2.371374-1 3.915690+1 2.398833-1 3.791653+1 2.426610-1 3.671547+1 2.454709-1 3.555404+1 2.483133-1 3.442939+1 2.540973-1 3.228671+1 2.630268-1 2.932027+1 2.660725-1 2.840561+1 2.722701-1 2.666108+1 2.754229-1 2.582945+1 2.786121-1 2.502380+1 2.917427-1 2.204634+1 2.951209-1 2.136011+1 3.000000-1 2.041953+1 3.000060-1 2.041840+1 3.019952-1 2.005127+1 3.054921-1 1.942740+1 3.090295-1 1.883261+1 3.126079-1 1.825604+1 3.162278-1 1.769728+1 3.311311-1 1.562866+1 3.349654-1 1.515053+1 3.427678-1 1.423772+1 3.467369-1 1.380291+1 3.507519-1 1.338150+1 3.548134-1 1.298031+1 3.589219-1 1.259126+1 3.630781-1 1.221387+1 3.672823-1 1.184781+1 3.715352-1 1.149274+1 3.801894-1 1.081422+1 3.845918-1 1.049016+1 3.935501-1 9.871067+0 3.981072-1 9.575920+0 4.000000-1 9.459157+0 4.027170-1 9.294980+0 4.073803-1 9.022390+0 4.120975-1 8.757819+0 4.168694-1 8.501008+0 4.265795-1 8.009770+0 4.315191-1 7.774963+0 4.365158-1 7.547068+0 4.466836-1 7.111120+0 4.518559-1 6.907387+0 4.570882-1 6.709497+0 4.623810-1 6.517366+0 4.677351-1 6.330738+0 4.731513-1 6.149500+0 4.897788-1 5.636345+0 4.954502-1 5.475019+0 5.000000-1 5.350225+0 5.011872-1 5.318324+0 5.069907-1 5.170178+0 5.128614-1 5.026163+0 5.370318-1 4.489523+0 5.432503-1 4.364577+0 5.495409-1 4.243109+0 5.559043-1 4.125036+0 5.623413-1 4.010288+0 5.688529-1 3.901641+0 5.754399-1 3.795940+0 5.888437-1 3.593154+0 5.956621-1 3.495870+0 6.025596-1 3.401219+0 6.095369-1 3.309133+0 6.165950-1 3.219540+0 6.237348-1 3.132438+0 6.309573-1 3.049712+0 6.382635-1 2.969383+0 6.456542-1 2.891212+0 6.531306-1 2.815104+0 6.606935-1 2.741001+0 6.760830-1 2.598597+0 6.839117-1 2.530233+0 6.918310-1 2.463681+0 6.998420-1 2.400441+0 7.079458-1 2.338979+0 7.161434-1 2.279128+0 7.244360-1 2.220809+0 7.413102-1 2.108612+0 7.498942-1 2.054672+0 7.585776-1 2.002126+0 7.673615-1 1.950933+0 7.762471-1 1.902438+0 7.852356-1 1.855295+0 8.035261-1 1.764530+0 8.317638-1 1.636642+0 8.413951-1 1.596115+0 8.511380-1 1.556603+0 8.609938-1 1.519222+0 8.709636-1 1.482865+0 9.015711-1 1.379007+0 9.120108-1 1.346041+0 9.225714-1 1.313864+0 9.332543-1 1.282463+0 9.440609-1 1.252768+0 9.549926-1 1.223873+0 9.660509-1 1.195666+0 9.772372-1 1.168122+0 9.885531-1 1.141214+0 1.000000+0 1.114931+0 1.011579+0 1.089265+0 1.023293+0 1.064189+0 1.035142+0 1.040316+0 1.047129+0 1.017046+0 1.059254+0 9.943121-1 1.071519+0 9.720870-1 1.083927+0 9.503677-1 1.096478+0 9.291348-1 1.135011+0 8.682385-1 1.148154+0 8.488474-1 1.161449+0 8.298965-1 1.174898+0 8.113712-1 1.188502+0 7.937882-1 1.202264+0 7.765965-1 1.216186+0 7.597763-1 1.230269+0 7.433207-1 1.244515+0 7.272217-1 1.250000+0 7.211652-1 1.258925+0 7.114798-1 1.288250+0 6.810164-1 1.303167+0 6.662792-1 1.318257+0 6.518628-1 1.333521+0 6.381921-1 1.364583+0 6.117209-1 1.380384+0 5.989009-1 1.396368+0 5.863560-1 1.428894+0 5.620487-1 1.462177+0 5.387510-1 1.479108+0 5.274684-1 1.500000+0 5.144355-1 1.513561+0 5.062480-1 1.548817+0 4.858889-1 1.603245+0 4.568760-1 1.659587+0 4.295950-1 1.678804+0 4.211513-1 1.698244+0 4.128738-1 1.717908+0 4.047660-1 1.737801+0 3.968189-1 1.757924+0 3.890279-1 1.798871+0 3.739021-1 1.819701+0 3.665612-1 1.840772+0 3.593644-1 1.862087+0 3.523089-1 1.883649+0 3.456344-1 1.905461+0 3.390866-1 1.927525+0 3.326686-1 1.949845+0 3.263739-1 1.972423+0 3.201985-1 2.000000+0 3.129061-1 2.018366+0 3.081960-1 2.044000+0 3.018094-1 2.065380+0 2.966432-1 2.089296+0 2.910318-1 2.113489+0 2.857060-1 2.137962+0 2.804781-1 2.162719+0 2.753461-1 2.187762+0 2.703116-1 2.213095+0 2.653705-1 2.238721+0 2.605198-1 2.290868+0 2.510826-1 2.317395+0 2.464930-1 2.344229+0 2.419873-1 2.371374+0 2.375639-1 2.398833+0 2.332226-1 2.426610+0 2.291005-1 2.454709+0 2.250515-1 2.483133+0 2.210745-1 2.511886+0 2.171704-1 2.540973+0 2.133362-1 2.570396+0 2.095698-1 2.630268+0 2.022353-1 2.660725+0 1.986648-1 2.691535+0 1.951574-1 2.722701+0 1.917120-1 2.754229+0 1.883281-1 2.786121+0 1.851127-1 2.818383+0 1.819523-1 2.851018+0 1.788461-1 2.884032+0 1.757950-1 2.917427+0 1.727968-1 2.951209+0 1.698498-1 3.019952+0 1.641055-1 3.054921+0 1.613067-1 3.090295+0 1.585557-1 3.126079+0 1.558515-1 3.162278+0 1.531941-1 3.198895+0 1.506683-1 3.235937+0 1.481842-1 3.273407+0 1.457413-1 3.311311+0 1.433404-1 3.349654+0 1.409796-1 3.427678+0 1.363740-1 3.507519+0 1.319189-1 3.548134+0 1.297462-1 3.589219+0 1.276094-1 3.630781+0 1.255076-1 3.672823+0 1.234411-1 3.715352+0 1.214761-1 3.758374+0 1.195425-1 3.801894+0 1.176398-1 3.845918+0 1.157687-1 3.890451+0 1.139279-1 4.000000+0 1.096073-1 4.073803+0 1.068526-1 4.120975+0 1.051535-1 4.168694+0 1.034815-1 4.216965+0 1.018360-1 4.315191+0 9.862398-2 4.365158+0 9.710678-2 4.415704+0 9.561300-2 4.466836+0 9.414231-2 4.518559+0 9.269527-2 4.570882+0 9.127082-2 4.677351+0 8.848731-2 4.786301+0 8.578867-2 4.841724+0 8.447037-2 4.897788+0 8.317234-2 4.954502+0 8.189425-2 5.069907+0 7.939732-2 5.128614+0 7.821550-2 5.188000+0 7.705135-2 5.248075+0 7.590460-2 5.308844+0 7.477497-2 5.370318+0 7.366284-2 5.432503+0 7.256754-2 5.559043+0 7.042555-2 5.688529+0 6.834680-2 5.754399+0 6.733055-2 5.821032+0 6.632941-2 5.888437+0 6.534314-2 6.025596+0 6.341489-2 6.095369+0 6.250144-2 6.165950+0 6.160120-2 6.237348+0 6.071400-2 6.309573+0 5.983959-2 6.382635+0 5.897830-2 6.456542+0 5.812962-2 6.683439+0 5.565614-2 6.839116+0 5.406591-2 6.918310+0 5.328790-2 7.000000+0 5.250618-2 7.079458+0 5.176534-2 7.328245+0 4.956319-2 7.413102+0 4.887139-2 7.498942+0 4.818928-2 7.585776+0 4.751675-2 7.673615+0 4.685363-2 7.762471+0 4.620015-2 7.852356+0 4.555594-2 8.128305+0 4.367671-2 8.317638+0 4.246716-2 8.413951+0 4.187501-2 8.511380+0 4.129111-2 8.609938+0 4.071535-2 8.912509+0 3.903621-2 9.015711+0 3.850723-2 9.120108+0 3.798545-2 9.225714+0 3.747078-2 9.332543+0 3.696309-2 9.549926+0 3.596880-2 9.660509+0 3.548184-2 1.000000+1 3.406015-2 1.035142+1 3.269543-2 1.047129+1 3.225276-2 1.059254+1 3.181611-2 1.083927+1 3.096047-2 1.109175+1 3.012803-2 1.122018+1 2.973180-2 1.135011+1 2.934081-2 1.148154+1 2.895501-2 1.161449+1 2.857429-2 1.174898+1 2.819878-2 1.188502+1 2.782830-2 1.244515+1 2.639432-2 1.318257+1 2.470533-2 1.348963+1 2.406040-2 1.380384+1 2.343230-2 1.428894+1 2.252076-2 1.445440+1 2.222492-2 1.462177+1 2.193298-2 1.479108+1 2.165278-2 1.500000+1 2.131628-2 1.513561+1 2.110327-2 1.548817+1 2.056792-2 1.659587+1 1.904204-2 1.737801+1 1.808820-2 1.800000+1 1.739213-2 1.862087+1 1.674628-2 1.883649+1 1.653255-2 1.905461+1 1.632580-2 1.927525+1 1.612176-2 1.949845+1 1.592027-2 2.238721+1 1.369010-2 2.317395+1 1.318320-2 2.344229+1 1.301843-2 2.371374+1 1.285573-2 2.511886+1 1.208162-2 2.540973+1 1.193248-2 2.570396+1 1.178518-2 2.917427+1 1.028015-2 2.951209+1 1.015581-2 3.235937+1 9.214171-3 3.427678+1 8.670521-3 3.672823+1 8.060312-3 4.415704+1 6.634931-3 4.466836+1 6.554719-3 4.731513+1 6.174792-3 5.011872+1 5.816892-3 5.559043+1 5.224135-3 7.079458+1 4.065394-3 7.161434+1 4.017135-3 7.585776+1 3.787584-3 8.128305+1 3.529373-3 9.332543+1 3.064562-3 1.273503+2 2.230374-3 1.288250+2 2.204506-3 1.380384+2 2.055671-3 1.531087+2 1.851047-3 1.840772+2 1.536257-3 2.540973+2 1.108652-3 2.570396+2 1.095873-3 2.754229+2 1.022286-3 3.054921+2 9.210654-4 3.672823+2 7.652256-4 5.069907+2 5.532390-4 5.128614+2 5.468914-4 1.096478+3 2.554631-4 1.216186+3 2.302767-4 1.462177+3 1.914747-4 4.027170+3 6.939830-5 4.073803+3 6.860358-5 1.000000+5 2.792956-6 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.640000-6 4.640000-6 2.200000-5 4.640000-6 2.200000-5 2.194573-5 2.430000-5 2.191933-5 2.430000-5 2.289056-5 3.427678-5 2.280268-5 3.839000-5 2.272823-5 3.839000-5 2.303337-5 4.400000-5 2.329008-5 5.011872-5 2.373667-5 6.606934-5 2.517275-5 7.500000-5 2.579853-5 8.413951-5 2.624021-5 9.500000-5 2.658183-5 9.946000-5 2.668356-5 9.946000-5 5.008373-5 1.002000-4 5.110428-5 1.012000-4 5.202234-5 1.021600-4 5.261611-5 1.021600-4 5.353000-5 1.037000-4 5.412333-5 1.060000-4 5.454902-5 1.092000-4 5.469306-5 1.135011-4 5.448255-5 1.190000-4 5.388823-5 1.260000-4 5.279931-5 1.330000-4 5.133815-5 1.472000-4 4.781114-5 1.515000-4 4.694194-5 1.566751-4 4.621966-5 1.603245-4 4.595146-5 1.643000-4 4.587825-5 1.698244-4 4.609034-5 1.760000-4 4.660724-5 1.883500-4 4.797249-5 1.883500-4 5.931487-5 2.042100-4 5.935186-5 2.042100-4 6.390742-5 2.290868-4 6.344860-5 2.563500-4 6.319753-5 2.563500-4 6.774120-5 2.951209-4 6.729548-5 3.550000-4 6.712725-5 4.700000-4 6.735454-5 7.904900-4 6.876156-5 7.904900-4 1.149419-4 8.066400-4 1.156466-4 8.066400-4 1.207161-4 8.413951-4 1.214200-4 1.000000-3 1.206910-4 1.057000-3 1.205398-4 1.057000-3 1.313647-4 1.132200-3 1.321446-4 1.132200-3 1.364361-4 1.216186-3 1.377085-4 1.273400-3 1.383863-4 1.273400-3 1.435806-4 1.650000-3 1.486647-4 2.137962-3 1.540249-4 2.600160-3 1.582381-4 3.235937-3 1.629904-4 4.073803-3 1.679558-4 5.128614-3 1.728468-4 5.243400-3 1.733088-4 5.243400-3 2.437315-4 5.559043-3 2.446051-4 5.630300-3 2.446975-4 5.630300-3 2.583400-4 5.960800-3 2.588644-4 5.960800-3 2.706740-4 8.609938-3 2.757751-4 1.303167-2 2.814959-4 1.883649-2 2.866102-4 2.786121-2 2.919615-4 3.744900-2 2.958114-4 3.744900-2 2.964410-4 9.015711-2 2.978519-4 3.507519-1 2.988504-4 1.000000+5 2.990764-4 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.640000-6 0.0 1.021600-4 0.0 1.021600-4 3.997499-9 1.025000-4 4.171010-9 1.028000-4 4.316165-9 1.034000-4 4.571702-9 1.041000-4 4.828212-9 1.047129-4 5.026867-9 1.056500-4 5.305489-9 1.064000-4 5.503700-9 1.069500-4 5.637525-9 1.080000-4 5.863627-9 1.090000-4 6.043824-9 1.096478-4 6.142721-9 1.102000-4 6.215386-9 1.110000-4 6.300718-9 1.117000-4 6.366858-9 1.125000-4 6.422425-9 1.135011-4 6.472269-9 1.150000-4 6.507647-9 1.161449-4 6.517461-9 1.170000-4 6.522188-9 1.190000-4 6.502743-9 1.230269-4 6.416396-9 1.260000-4 6.324558-9 1.290000-4 6.208488-9 1.330000-4 6.009329-9 1.365000-4 5.804405-9 1.415000-4 5.458674-9 1.479108-4 4.987388-9 1.513561-4 4.751394-9 1.550000-4 4.534405-9 1.566751-4 4.448724-9 1.585000-4 4.365970-9 1.603245-4 4.295213-9 1.621810-4 4.235675-9 1.643000-4 4.184054-9 1.663400-4 4.148207-9 1.680000-4 4.127444-9 1.698244-4 4.114552-9 1.720000-4 4.111820-9 1.740000-4 4.119437-9 1.790000-4 4.168714-9 1.820000-4 4.213485-9 1.883500-4 4.335667-9 1.883500-4 7.024359-9 2.042100-4 6.988774-9 2.042100-4 8.112614-9 2.213095-4 8.019171-9 2.454709-4 7.964172-9 2.563500-4 7.950531-9 2.563500-4 8.714358-9 2.830000-4 8.669244-9 3.235937-4 8.656340-9 4.265795-4 8.737750-9 7.904900-4 9.164492-9 7.904900-4 1.103225-8 8.066400-4 1.106546-8 8.066400-4 1.406763-7 8.280000-4 1.441705-7 8.317638-4 1.449826-7 8.470000-4 1.466145-7 8.810489-4 1.469339-7 9.015711-4 1.460215-7 9.700000-4 1.450846-7 1.057000-3 1.445824-7 1.057000-3 2.029029-7 1.083927-3 2.050198-7 1.132200-3 2.077082-7 1.132200-3 2.474771-7 1.170000-3 2.530451-7 1.273400-3 2.625631-7 1.273400-3 2.974121-7 1.380384-3 3.089971-7 1.570000-3 3.272801-7 1.850000-3 3.516556-7 2.113489-3 3.717932-7 2.400000-3 3.915880-7 2.754229-3 4.127388-7 3.090295-3 4.305839-7 3.427678-3 4.465261-7 3.845918-3 4.642170-7 4.466836-3 4.869728-7 5.243400-3 5.105967-7 5.243400-3 3.316436-4 5.400000-3 3.338316-4 5.630300-3 3.338613-4 5.630300-3 4.127279-4 5.821032-3 4.141411-4 5.960800-3 4.141512-4 5.960800-3 4.350161-4 7.800000-3 4.388585-4 1.230269-2 4.428818-4 2.238721-2 4.463054-4 3.744900-2 4.485246-4 3.744900-2 2.524299-2 4.415704-2 2.543262-2 5.623413-2 2.565465-2 8.222426-2 2.586439-2 1.348963-1 2.601308-2 3.162278-1 2.610282-2 1.258925+0 2.620251-2 1.000000+5 2.619935-2 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.640000-6 0.0 2.200000-5 1.736000-5 2.200000-5 5.426777-8 2.430000-5 2.380668-6 2.430000-5 1.409439-6 2.630268-5 3.416885-6 3.198895-5 9.154154-6 3.839000-5 1.566177-5 3.839000-5 1.535663-5 4.365158-5 2.038259-5 5.011872-5 2.638205-5 6.839116-5 4.303478-5 8.000000-5 5.393829-5 9.772372-5 7.107459-5 9.946000-5 7.277644-5 9.946000-5 4.937627-5 1.002000-4 4.909572-5 1.012000-4 4.917766-5 1.021600-4 4.954389-5 1.021600-4 4.862601-5 1.037000-4 4.957199-5 1.060000-4 5.144558-5 1.092000-4 5.450087-5 1.145000-4 6.009773-5 1.216186-4 6.809060-5 1.290000-4 7.677547-5 1.400000-4 9.040509-5 1.500000-4 1.027745-4 1.566751-4 1.104510-4 1.643000-4 1.184176-4 1.740000-4 1.275773-4 1.883500-4 1.403732-4 1.883500-4 1.290281-4 2.042100-4 1.448511-4 2.042100-4 1.402945-4 2.563500-4 1.931445-4 2.563500-4 1.886001-4 3.600000-4 2.928601-4 7.904900-4 7.217193-4 7.904900-4 6.755371-4 8.066400-4 6.909823-4 8.066400-4 6.857832-4 9.500000-4 8.290060-4 1.057000-3 9.363157-4 1.057000-3 9.254324-4 1.132200-3 9.998477-4 1.132200-3 9.955164-4 1.273400-3 1.134751-3 1.273400-3 1.129522-3 3.162278-3 2.999358-3 5.243400-3 5.069581-3 5.243400-3 4.668025-3 5.630300-3 5.051741-3 5.630300-3 4.959232-3 5.960800-3 5.287784-3 5.960800-3 5.255110-3 3.744900-2 3.670466-2 3.744900-2 1.190956-2 3.935501-2 1.374555-2 4.415704-2 1.842764-2 5.623413-2 3.028228-2 9.015711-2 6.395549-2 2.371374+0 2.344876+0 1.000000+5 9.999997+4 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 3.744900-2 5.367936+3 3.870000-2 4.958377+3 3.981072-2 4.597990+3 4.120975-2 4.222528+3 4.500000-2 3.351120+3 4.954502-2 2.613600+3 5.623413-2 1.867045+3 7.000000-2 1.032348+3 8.810489-2 5.472047+2 1.109175-1 2.871133+2 2.162719-1 4.345204+1 2.630268-1 2.516329+1 3.054921-1 1.667927+1 3.507519-1 1.149312+1 3.981072-1 8.227441+0 4.466836-1 6.111773+0 5.011872-1 4.572405+0 5.623413-1 3.449094+0 6.237348-1 2.694912+0 6.918310-1 2.120283+0 7.673615-1 1.679565+0 8.511380-1 1.340653+0 9.332543-1 1.104994+0 1.023293+0 9.171996-1 1.174898+0 6.994135-1 1.318257+0 5.618837-1 1.479108+0 4.546151-1 1.659587+0 3.702513-1 1.862087+0 3.036458-1 2.089296+0 2.508338-1 2.398833+0 2.010107-1 2.754229+0 1.623182-1 3.162278+0 1.320374-1 3.672823+0 1.063936-1 4.315191+0 8.500374-2 5.069907+0 6.843218-2 6.025596+0 5.465718-2 7.328245+0 4.271841-2 8.912509+0 3.364523-2 1.109175+1 2.596732-2 1.462177+1 1.890414-2 1.883649+1 1.424967-2 2.371374+1 1.108061-2 2.917427+1 8.860617-3 4.466836+1 5.649637-3 7.161434+1 3.462449-3 1.273503+2 1.922380-3 2.540973+2 9.555616-4 5.069907+2 4.768454-4 4.027170+3 5.981554-5 1.000000+5 2.407300-6 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 3.744900-2 2.965700-4 1.000000+5 2.965700-4 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.744900-2 3.032400-2 1.000000+5 3.032400-2 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.744900-2 6.828430-3 1.000000+5 9.999997+4 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 5.960800-3 2.119536+4 6.350000-3 1.901602+4 6.531306-3 1.820796+4 7.161434-3 1.550648+4 7.800000-3 1.339172+4 8.317638-3 1.190601+4 9.660509-3 9.013389+3 1.216186-2 5.745546+3 1.333521-2 4.764186+3 1.580000-2 3.349380+3 1.840772-2 2.410806+3 2.065380-2 1.871571+3 2.426610-2 1.301451+3 2.851018-2 8.962236+2 3.311311-2 6.286421+2 3.801894-2 4.501288+2 4.415704-2 3.113073+2 5.128614-2 2.138190+2 6.025596-2 1.416528+2 7.161434-2 9.042248+1 8.609938-2 5.557424+1 1.047129-1 3.288163+1 1.348963-1 1.652112+1 2.426610-1 3.311314+0 2.917427-1 2.013089+0 3.427678-1 1.311865+0 3.935501-1 9.153044-1 4.466836-1 6.626203-1 5.011872-1 4.972626-1 5.623413-1 3.759639-1 6.309573-1 2.864008-1 6.998420-1 2.257277-1 7.762471-1 1.790341-1 8.609938-1 1.430443-1 9.440609-1 1.179880-1 1.035142+0 9.799848-2 1.174898+0 7.645344-2 1.318257+0 6.142126-2 1.479108+0 4.969582-2 1.659587+0 4.047243-2 1.862087+0 3.319003-2 2.089296+0 2.741595-2 2.398833+0 2.196913-2 2.754229+0 1.773936-2 3.162278+0 1.442945-2 3.672823+0 1.162693-2 4.315191+0 9.289322-3 5.069907+0 7.478319-3 6.025596+0 5.972945-3 7.328245+0 4.668246-3 8.912509+0 3.676758-3 1.109175+1 2.837681-3 1.462177+1 2.065882-3 1.883649+1 1.557180-3 2.371374+1 1.210886-3 2.917427+1 9.682836-4 4.466836+1 6.173930-4 7.161434+1 3.783710-4 1.288250+2 2.076389-4 2.570396+2 1.032203-4 5.128614+2 5.151058-5 4.073803+3 6.461820-6 1.000000+5 2.630700-7 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 5.960800-3 3.476300-4 1.000000+5 3.476300-4 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 5.960800-3 5.709800-4 1.000000+5 5.709800-4 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 5.960800-3 5.042190-3 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 5.630300-3 4.239732+4 5.700000-3 4.165186+4 5.740000-3 4.113800+4 5.821032-3 3.988900+4 6.165950-3 3.450800+4 7.161434-3 2.328300+4 7.943282-3 1.755900+4 9.332543-3 1.122700+4 1.083927-2 7.374000+3 1.216186-2 5.284600+3 1.400000-2 3.505100+3 1.717908-2 1.903300+3 2.080000-2 1.063400+3 2.500000-2 6.017600+2 3.019952-2 3.323900+2 3.672823-2 1.782600+2 4.570882-2 8.810600+1 5.956621-2 3.721000+1 1.188502-1 3.864107+0 1.479108-1 1.896787+0 1.778279-1 1.048809+0 2.089296-1 6.286669-1 2.426610-1 3.937477-1 2.786121-1 2.575819-1 3.162278-1 1.758378-1 3.548134-1 1.251056-1 3.981072-1 8.963385-2 4.466836-1 6.470550-2 5.000000-1 4.739205-2 5.559043-1 3.563026-2 6.165950-1 2.716049-2 6.760830-1 2.148290-2 7.498942-1 1.664069-2 8.317638-1 1.298598-2 9.440609-1 9.657868-3 1.000000+0 8.496131-3 1.071519+0 7.348447-3 1.148154+0 6.400716-3 1.250000+0 5.443571-3 1.380384+0 4.541766-3 1.717908+0 3.087067-3 1.927525+0 2.535538-3 2.187762+0 2.059841-3 2.511886+0 1.655022-3 2.884032+0 1.339813-3 3.311311+0 1.092452-3 3.845918+0 8.823012-4 4.518559+0 7.065011-4 5.370318+0 5.613977-4 6.382635+0 4.494757-4 7.762471+0 3.521034-4 9.549926+0 2.741349-4 1.174898+1 2.149355-4 1.500000+1 1.625400-4 1.905461+1 1.245111-4 2.371374+1 9.805170-5 2.951209+1 7.745643-5 4.466836+1 4.999435-5 7.161434+1 3.063978-5 1.288250+2 1.681375-5 2.570396+2 8.358474-6 5.128614+2 4.171171-6 4.073803+3 5.232613-7 1.000000+5 2.130300-8 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 5.630300-3 2.959900-4 1.000000+5 2.959900-4 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.630300-3 6.303800-4 1.000000+5 6.303800-4 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.630300-3 4.703930-3 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 5.243400-3 9.135979+4 5.340000-3 8.843096+4 5.400000-3 8.629708+4 5.700000-3 7.499360+4 6.650000-3 4.937720+4 7.328245-3 3.760574+4 8.810489-3 2.221614+4 1.011579-2 1.490724+4 1.135011-2 1.058498+4 1.303167-2 6.996067+3 1.584893-2 3.839292+3 1.862087-2 2.320351+3 2.150000-2 1.471140+3 2.511886-2 8.925427+2 2.951209-2 5.281156+2 3.507519-2 2.988182+2 4.216965-2 1.615936+2 5.248075-2 7.721752+1 6.760830-2 3.254628+1 1.303167-1 3.415349+0 1.573050-1 1.799470+0 1.905461-1 9.445697-1 2.187762-1 5.976660-1 2.483133-1 3.955587-1 2.786121-1 2.736045-1 3.126079-1 1.906152-1 3.467369-1 1.386335-1 3.845918-1 1.015670-1 4.265795-1 7.499050-2 4.677351-1 5.765878-2 5.128614-1 4.463809-2 5.623413-1 3.480895-2 6.165950-1 2.733993-2 6.760830-1 2.163449-2 7.413102-1 1.724817-2 8.413951-1 1.275905-2 9.015711-1 1.088193-2 9.660509-1 9.342511-3 1.035142+0 8.084412-3 1.135011+0 6.720475-3 1.250000+0 5.581429-3 1.380384+0 4.648778-3 1.659587+0 3.348765-3 1.862087+0 2.745238-3 2.065380+0 2.310504-3 2.371374+0 1.850415-3 2.722701+0 1.493150-3 3.126079+0 1.213730-3 3.630781+0 9.774024-4 4.216965+0 7.928806-4 4.954502+0 6.376453-4 5.888437+0 5.087821-4 7.079458+0 4.030131-4 8.609938+0 3.169863-4 1.083927+1 2.410749-4 1.428894+1 1.753649-4 1.862087+1 1.304159-4 2.371374+1 1.001404-4 2.951209+1 7.910506-5 4.466836+1 5.105930-5 7.161434+1 3.129194-5 1.288250+2 1.717187-5 2.570396+2 8.536339-6 5.128614+2 4.259982-6 4.073803+3 5.344056-7 1.000000+5 2.175700-8 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 5.243400-3 2.804400-4 1.000000+5 2.804400-4 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.243400-3 5.042500-4 1.000000+5 5.042500-4 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.243400-3 4.458710-3 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.273400-3 6.253674+4 1.348963-3 5.894142+4 1.531087-3 5.010475+4 1.621810-3 4.621256+4 2.018366-3 3.358205+4 2.187762-3 2.976756+4 2.400000-3 2.567920+4 2.851018-3 1.939013+4 3.198895-3 1.593147+4 3.715352-3 1.227468+4 4.466836-3 8.801940+3 5.128614-3 6.809659+3 5.956621-3 5.126209+3 7.079458-3 3.663794+3 8.413951-3 2.596297+3 1.000000-2 1.824912+3 1.188502-2 1.272105+3 1.380384-2 9.241971+2 1.603245-2 6.671097+2 1.862087-2 4.783956+2 2.187762-2 3.319659+2 2.570396-2 2.286184+2 3.019952-2 1.562617+2 3.548134-2 1.060067+2 4.168694-2 7.138433+1 4.897788-2 4.772206+1 5.821032-2 3.076103+1 6.918310-2 1.967982+1 8.317638-2 1.212735+1 9.885531-2 7.650654+0 1.273503-1 3.858295+0 2.483133-1 6.255452-1 3.000060-1 3.762639-1 3.507519-1 2.489163-1 4.027170-1 1.739669-1 4.570882-1 1.261458-1 5.128614-1 9.483225-2 5.754399-1 7.182209-2 6.382635-1 5.630304-2 7.079458-1 4.442943-2 7.852356-1 3.529561-2 8.709636-1 2.820788-2 9.549926-1 2.326919-2 1.047129+0 1.933630-2 1.188502+0 1.509349-2 1.333521+0 1.213508-2 1.500000+0 9.781613-3 1.698244+0 7.848393-3 1.905461+0 6.445462-3 2.162719+0 5.233050-3 2.483133+0 4.201557-3 2.851018+0 3.398818-3 3.273407+0 2.769560-3 3.801894+0 2.235516-3 4.466836+0 1.789109-3 5.308844+0 1.420869-3 6.309573+0 1.137056-3 7.673615+0 8.903471-4 9.332543+0 7.024632-4 1.161449+1 5.430466-4 1.500000+1 4.052300-4 1.905461+1 3.104191-4 2.371374+1 2.444572-4 2.917427+1 1.954854-4 4.466836+1 1.246406-4 7.161434+1 7.638897-5 1.288250+2 4.191862-5 2.570396+2 2.083830-5 5.128614+2 1.039939-5 4.073803+3 1.304523-6 1.000000+5 5.311100-8 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.273400-3 2.606000-4 1.000000+5 2.606000-4 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.273400-3 1.082500-6 1.000000+5 1.082500-6 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.273400-3 1.011718-3 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.132200-3 9.401880+4 1.142000-3 9.511120+4 1.160000-3 9.605858+4 1.170000-3 9.605931+4 1.190000-3 9.484670+4 1.244515-3 9.123117+4 1.318257-3 8.603461+4 1.380384-3 8.158102+4 1.513561-3 7.255381+4 1.690000-3 6.245660+4 1.819701-3 5.605959+4 1.972423-3 4.947516+4 2.137962-3 4.328187+4 2.426610-3 3.482608+4 2.600160-3 3.074429+4 2.951209-3 2.420014+4 3.235937-3 2.021599+4 3.630781-3 1.598822+4 4.027170-3 1.287000+4 4.518559-3 1.002135+4 5.011872-3 7.954888+3 5.688529-3 5.944124+3 6.309573-3 4.653892+3 7.161434-3 3.423880+3 8.128305-3 2.498206+3 9.225714-3 1.808872+3 1.047129-2 1.299882+3 1.188502-2 9.272841+2 1.350000-2 6.554160+2 1.531087-2 4.620334+2 1.757924-2 3.124631+2 2.041738-2 2.028351+2 2.371374-2 1.305902+2 2.754229-2 8.346358+1 3.235937-2 5.112958+1 3.801894-2 3.110190+1 4.570882-2 1.748431+1 5.495409-2 9.758107+0 7.079458-2 4.337527+0 1.380384-1 5.038882-1 1.698244-1 2.600206-1 2.041738-1 1.454702-1 2.371374-1 9.133629-2 2.722701-1 5.984336-2 3.126079-1 3.950863-2 3.548134-1 2.720938-2 3.981072-1 1.952931-2 4.466836-1 1.413310-2 5.011872-1 1.030890-2 5.559043-1 7.812356-3 6.165950-1 5.962332-3 6.839117-1 4.585231-3 7.585776-1 3.553119-3 8.609938-1 2.619532-3 9.225714-1 2.231750-3 9.772372-1 1.964471-3 1.047129+0 1.699388-3 1.135011+0 1.445201-3 1.244515+0 1.210314-3 1.364583+0 1.021603-3 1.678804+0 7.072574-4 1.883649+0 5.801799-4 2.113489+0 4.795245-4 2.426610+0 3.845521-4 2.786121+0 3.107478-4 3.198895+0 2.529408-4 3.715352+0 2.039349-4 4.365158+0 1.630260-4 5.128614+0 1.313106-4 6.095369+0 1.049311-4 7.413102+0 8.204826-5 9.015711+0 6.464962-5 1.122018+1 4.991703-5 1.462177+1 3.683087-5 1.883649+1 2.776166-5 2.371374+1 2.158790-5 2.951209+1 1.705298-5 4.466836+1 1.100718-5 7.161434+1 6.745687-6 1.288250+2 3.701743-6 2.570396+2 1.840183-6 5.128614+2 9.183398-7 4.073803+3 1.152033-7 1.000000+5 4.690100-9 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.132200-3 2.146200-4 1.000000+5 2.146200-4 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.132200-3 9.719900-7 1.000000+5 9.719900-7 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.132200-3 9.166080-4 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.057000-3 2.460195+5 1.075000-3 2.445743+5 1.098000-3 2.399090+5 1.161449-3 2.257408+5 1.244515-3 2.074136+5 1.333521-3 1.886781+5 1.500000-3 1.587344+5 1.650000-3 1.370204+5 1.778279-3 1.212202+5 1.905461-3 1.076556+5 2.238721-3 8.050372+4 2.426610-3 6.914104+4 2.754229-3 5.383537+4 3.019952-3 4.464340+4 3.400000-3 3.474432+4 3.758374-3 2.795157+4 4.216965-3 2.159305+4 4.677351-3 1.701382+4 5.308844-3 1.260764+4 5.956621-3 9.527697+3 6.683439-3 7.150694+3 7.585776-3 5.173981+3 8.609938-3 3.713893+3 9.772372-3 2.645538+3 1.096478-2 1.930941+3 1.230269-2 1.400950+3 1.400000-2 9.702600+2 1.584893-2 6.773092+2 1.800000-2 4.652400+2 2.041738-2 3.187170+2 2.344229-2 2.090762+2 2.722701-2 1.313821+2 3.171060-2 8.122200+1 3.672823-2 5.074545+1 4.365158-2 2.895302+1 5.248075-2 1.578436+1 6.382635-2 8.220770+0 8.222426-2 3.502762+0 1.412538-1 5.604364-1 1.698244-1 3.020970-1 2.000000-1 1.757305-1 2.317395-1 1.086034-1 2.630268-1 7.231044-2 2.951209-1 5.029283-2 3.311311-1 3.522854-2 3.672823-1 2.574967-2 4.073803-1 1.896140-2 4.466836-1 1.454554-2 4.897788-1 1.123105-2 5.370318-1 8.730821-3 5.888437-1 6.834912-3 6.456542-1 5.390722-3 7.079458-1 4.283325-3 7.762471-1 3.428507-3 8.609938-1 2.685658-3 9.225714-1 2.296370-3 9.885531-1 1.977472-3 1.071519+0 1.675952-3 1.174898+0 1.397232-3 1.288250+0 1.173256-3 1.428894+0 9.713366-4 1.698244+0 7.151947-4 1.905461+0 5.871187-4 2.137962+0 4.855774-4 2.454709+0 3.896121-4 2.818383+0 3.149894-4 3.235937+0 2.565202-4 3.758374+0 2.069332-4 4.415704+0 1.655173-4 5.188000+0 1.333896-4 6.165950+0 1.066451-4 7.498942+0 8.342583-5 9.120108+0 6.576383-5 1.135011+1 5.079850-5 1.479108+1 3.749517-5 1.905461+1 2.827284-5 2.371374+1 2.226464-5 2.917427+1 1.780461-5 4.466836+1 1.135220-5 7.161434+1 6.957250-6 1.288250+2 3.817864-6 2.570396+2 1.897918-6 5.128614+2 9.471367-7 4.073803+3 1.188168-7 1.000000+5 4.837200-9 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.057000-3 2.076000-4 1.000000+5 2.076000-4 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.057000-3 6.136300-7 1.000000+5 6.136300-7 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.057000-3 8.487864-4 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 8.066400-4 9.384014+5 8.191000-4 9.574666+5 8.317638-4 9.691964+5 8.450000-4 9.652200+5 8.470000-4 9.626405+5 8.780000-4 8.832288+5 9.000000-4 8.255320+5 9.225714-4 7.785878+5 9.700000-4 6.946080+5 1.050000-3 5.817080+5 1.122018-3 4.985221+5 1.216186-3 4.099749+5 1.303167-3 3.447771+5 1.412538-3 2.799937+5 1.548817-3 2.190303+5 1.717908-3 1.651700+5 1.883649-3 1.272804+5 2.137962-3 8.840084+4 2.371374-3 6.502266+4 2.691535-3 4.438304+4 3.019952-3 3.108572+4 3.388442-3 2.164138+4 3.845918-3 1.439853+4 4.265795-3 1.025469+4 4.841724-3 6.721304+3 5.500000-3 4.357520+3 6.237348-3 2.820248+3 7.079458-3 1.806844+3 8.128305-3 1.102677+3 9.332543-3 6.673778+2 1.071519-2 4.006159+2 1.230269-2 2.385695+2 1.412538-2 1.409679+2 1.621810-2 8.269751+1 1.883649-2 4.606980+1 2.213095-2 2.434169+1 2.600160-2 1.277027+1 3.126079-2 6.064972+0 3.845918-2 2.602530+0 5.188000-2 7.592320-1 7.943282-2 1.310791-1 1.000000-1 5.104920-2 1.202264-1 2.417501-2 1.412538-1 1.265992-2 1.640590-1 6.995430-3 1.883649-1 4.076314-3 2.162719-1 2.393888-3 2.426610-1 1.546803-3 2.722701-1 1.006888-3 3.019952-1 6.890911-4 3.349654-1 4.753624-4 3.715352-1 3.304009-4 4.120975-1 2.314484-4 4.518559-1 1.698210-4 5.000000-1 1.217401-4 5.495409-1 8.988123-5 6.025596-1 6.732805-5 6.606935-1 5.074943-5 7.161434-1 3.987831-5 7.762471-1 3.154082-5 8.609938-1 2.344045-5 9.120108-1 2.002180-5 9.549926-1 1.775954-5 1.000000+0 1.585702-5 1.047129+0 1.426393-5 1.096478+0 1.292108-5 1.148154+0 1.177458-5 1.216186+0 1.055476-5 1.318257+0 9.126859-6 1.513561+0 7.203408-6 1.798871+0 5.323331-6 2.000000+0 4.448902-6 2.290868+0 3.569568-6 2.630268+0 2.875061-6 3.019952+0 2.332899-6 3.507519+0 1.875335-6 4.073803+0 1.518863-6 4.786301+0 1.219575-6 5.688529+0 9.716039-7 6.839116+0 7.685315-7 8.317638+0 6.036657-7 1.035142+1 4.647889-7 1.318257+1 3.511511-7 1.659587+1 2.706775-7 2.238721+1 1.946191-7 2.917427+1 1.462581-7 4.466836+1 9.325600-8 7.161434+1 5.715254-8 1.288250+2 3.136258-8 2.570396+2 1.559112-8 5.128614+2 7.780542-9 4.073803+3 9.76043-10 1.000000+5 3.97370-11 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 8.066400-4 1.314400-4 1.000000+5 1.314400-4 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 8.066400-4 4.148500-7 1.000000+5 4.148500-7 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 8.066400-4 6.747852-4 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 7.904900-4 1.429739+6 7.978500-4 1.448815+6 8.100000-4 1.462349+6 8.180000-4 1.466851+6 8.280000-4 1.460948+6 8.413951-4 1.436980+6 8.470000-4 1.421662+6 8.520000-4 1.400160+6 8.810489-4 1.274363+6 9.015711-4 1.204950+6 1.047129-3 8.562870+5 1.122018-3 7.267918+5 1.216186-3 5.957160+5 1.303167-3 4.996531+5 1.412538-3 4.045989+5 1.603245-3 2.873720+5 1.717908-3 2.373081+5 1.950000-3 1.650348+5 2.150000-3 1.241400+5 2.454709-3 8.338852+4 2.722701-3 6.073648+4 3.090295-3 4.087498+4 3.427678-3 2.937167+4 3.845918-3 2.020817+4 4.315191-3 1.380253+4 4.841724-3 9.362492+3 5.432503-3 6.309125+3 6.165950-3 4.056573+3 7.079458-3 2.484294+3 8.035261-3 1.572746+3 9.120108-3 9.885322+2 1.023293-2 6.440844+2 1.150000-2 4.146876+2 1.288250-2 2.687403+2 1.462177-2 1.646043+2 1.678804-2 9.574993+1 1.949845-2 5.282316+1 2.290000-2 2.765814+1 2.754229-2 1.303382+1 3.235937-2 6.711927+0 3.935501-2 2.974623+0 5.128614-2 9.799098-1 8.222426-2 1.345035-1 1.023293-1 5.394328-2 1.202264-1 2.769710-2 1.396368-1 1.502052-2 1.621810-1 8.210297-3 1.819701-1 5.195514-3 2.000000-1 3.590634-3 2.018366-1 3.478909-3 2.238721-1 2.335472-3 2.483133-1 1.579000-3 2.754229-1 1.075814-3 3.019952-1 7.702628-4 3.311311-1 5.554073-4 3.630781-1 4.034598-4 3.981072-1 2.953617-4 4.315191-1 2.263064-4 4.677351-1 1.745208-4 5.069907-1 1.354818-4 5.495409-1 1.058866-4 5.888437-1 8.626609-5 6.165950-1 7.560251-5 6.606935-1 6.244684-5 7.161434-1 5.032984-5 8.035261-1 3.735194-5 8.609938-1 3.113575-5 9.120108-1 2.690343-5 9.660509-1 2.340878-5 1.011579+0 2.107418-5 1.071519+0 1.861856-5 1.135011+0 1.655904-5 1.216186+0 1.449228-5 1.318257+0 1.250167-5 1.603245+0 8.871658-6 1.840772+0 6.976390-6 2.044000+0 5.854104-6 2.344229+0 4.693648-6 2.691535+0 3.785518-6 3.090295+0 3.075691-6 3.589219+0 2.475428-6 4.168694+0 2.007044-6 4.897788+0 1.613210-6 5.821032+0 1.286507-6 7.000000+0 1.018300-6 8.511380+0 8.008304-7 1.059254+1 6.170879-7 1.380384+1 4.544134-7 1.800000+1 3.373100-7 2.344229+1 2.526209-7 2.917427+1 1.995140-7 4.415704+1 1.287534-7 7.079458+1 7.889278-8 1.273503+2 4.328674-8 2.540973+2 2.151699-8 5.069907+2 1.073726-8 4.027170+3 1.346848-9 1.000000+5 5.42060-11 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 7.904900-4 1.325400-4 1.000000+5 1.325400-4 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 7.904900-4 1.174400-8 1.000000+5 1.174400-8 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 7.904900-4 6.579383-4 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 2.563500-4 1.445375+5 2.851018-4 1.358874+5 2.951209-4 1.324287+5 3.507519-4 1.149849+5 3.715352-4 1.091006+5 3.981072-4 1.015736+5 4.570882-4 8.741824+4 4.954502-4 7.950432+4 5.623413-4 6.773790+4 6.237348-4 5.910999+4 6.998420-4 5.035775+4 8.035261-4 4.124994+4 9.332543-4 3.289537+4 1.059254-3 2.699195+4 1.244515-3 2.081299+4 1.500000-3 1.525226+4 1.819701-3 1.094935+4 2.213095-3 7.759214+3 2.691535-3 5.454798+3 3.300000-3 3.749960+3 4.027170-3 2.580820+3 4.897788-3 1.774534+3 5.888437-3 1.238138+3 7.079458-3 8.572306+2 8.413951-3 6.029136+2 1.000000-2 4.211180+2 1.188502-2 2.920732+2 1.412538-2 2.011040+2 1.678804-2 1.374226+2 1.995262-2 9.317171+1 2.344229-2 6.434582+1 2.754229-2 4.412319+1 3.235937-2 3.003945+1 3.801894-2 2.030389+1 4.518559-2 1.324240+1 5.308844-2 8.822681+0 6.309573-2 5.667380+0 7.585776-2 3.508076+0 9.015711-2 2.221050+0 1.135011-1 1.197095+0 1.531088-1 5.311352-1 2.264644-1 1.822787-1 2.786121-1 1.041542-1 3.311311-1 6.578179-2 3.801894-1 4.584499-2 4.315191-1 3.314649-2 4.897788-1 2.414358-2 5.495409-1 1.823260-2 6.165950-1 1.387284-2 6.839117-1 1.092355-2 7.585776-1 8.658522-3 8.511380-1 6.736811-3 9.332543-1 5.547362-3 1.023293+0 4.602096-3 1.161449+0 3.587770-3 1.303167+0 2.880255-3 1.462177+0 2.329050-3 1.659587+0 1.857793-3 1.862087+0 1.523531-3 2.089296+0 1.258312-3 2.398833+0 1.008247-3 2.754229+0 8.141773-4 3.162278+0 6.623028-4 3.672823+0 5.336642-4 4.315191+0 4.263682-4 5.069907+0 3.432456-4 6.025596+0 2.741511-4 7.328245+0 2.142668-4 8.912509+0 1.687572-4 1.122018+1 1.285093-4 1.462177+1 9.482160-5 1.883649+1 7.147356-5 2.371374+1 5.557755-5 2.951209+1 4.390315-5 4.466836+1 2.833799-5 7.161434+1 1.736716-5 1.273503+2 9.642260-6 2.540973+2 4.793022-6 5.069907+2 2.391815-6 4.027170+3 3.000312-7 1.000000+5 1.207500-8 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 2.563500-4 1.129600-4 1.000000+5 1.129600-4 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.563500-4 1.631600-8 1.000000+5 1.631600-8 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.563500-4 1.433737-4 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 2.042100-4 1.154413+5 2.614700-4 1.074305+5 3.019952-4 1.038490+5 3.311311-4 1.009172+5 3.600000-4 9.748940+4 3.850000-4 9.416880+4 4.120975-4 9.031035+4 4.500000-4 8.490060+4 4.850000-4 8.000740+4 5.248075-4 7.458090+4 5.754399-4 6.817965+4 6.237348-4 6.263098+4 6.839116-4 5.640047+4 7.585776-4 4.974113+4 8.317638-4 4.416130+4 9.225714-4 3.834728+4 1.023293-3 3.305599+4 1.150000-3 2.773680+4 1.288250-3 2.319659+4 1.450000-3 1.910702+4 1.640590-3 1.547768+4 1.850000-3 1.251312+4 2.089296-3 1.001610+4 2.371374-3 7.883206+3 2.691535-3 6.157009+3 3.054921-3 4.772764+3 3.507519-3 3.584319+3 4.000000-3 2.706940+3 4.518559-3 2.070810+3 5.069907-3 1.597334+3 5.688529-3 1.224104+3 6.382635-3 9.318624+2 7.244360-3 6.853928+2 8.222426-3 5.002276+2 9.332543-3 3.624371+2 1.059254-2 2.607739+2 1.202264-2 1.863329+2 1.380384-2 1.281477+2 1.584893-2 8.744221+1 1.819701-2 5.921421+1 2.089296-2 3.980674+1 2.426610-2 2.568438+1 2.818383-2 1.644736+1 3.273407-2 1.045766+1 3.890451-2 6.152844+0 4.677351-2 3.466453+0 5.623413-2 1.938615+0 7.244360-2 8.642532-1 1.412538-1 1.011207-1 1.737801-1 5.230296-2 2.089296-1 2.932557-2 2.426610-1 1.845048-2 2.786121-1 1.211345-2 3.162278-1 8.293799-3 3.589219-1 5.720998-3 4.027170-1 4.110562-3 4.518559-1 2.974964-3 5.011872-1 2.238854-3 5.559043-1 1.696462-3 6.165950-1 1.294884-3 6.839117-1 9.961011-4 7.585776-1 7.721469-4 8.709636-1 5.541411-4 9.332543-1 4.726872-4 9.885531-1 4.165950-4 1.071519+0 3.524578-4 1.161449+0 3.002916-4 1.258925+0 2.574512-4 1.396368+0 2.130269-4 1.698244+0 1.506360-4 1.905461+0 1.236438-4 2.137962+0 1.022625-4 2.454709+0 8.205407-5 2.818383+0 6.633647-5 3.235937+0 5.402274-5 3.758374+0 4.358075-5 4.415704+0 3.485869-5 5.188000+0 2.809196-5 6.165950+0 2.245900-5 7.498942+0 1.756919-5 9.120108+0 1.385017-5 1.135011+1 1.069765-5 1.479108+1 7.896471-6 1.905461+1 5.954236-6 2.371374+1 4.688869-6 2.951209+1 3.703973-6 4.466836+1 2.390723-6 7.161434+1 1.465216-6 1.288250+2 8.040296-7 2.570396+2 3.997041-7 5.128614+2 1.994685-7 4.073803+3 2.502210-8 1.000000+5 1.018700-9 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 2.042100-4 1.095400-4 1.000000+5 1.095400-4 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.042100-4 1.937000-8 1.000000+5 1.937000-8 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.042100-4 9.465063-5 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.883500-4 3.581577+5 2.190000-4 3.346516+5 2.454709-4 3.214304+5 2.818383-4 3.013738+5 3.054921-4 2.883487+5 3.311311-4 2.738861+5 3.548134-4 2.605280+5 3.850000-4 2.436640+5 4.216965-4 2.244333+5 4.570882-4 2.073250+5 5.000000-4 1.882880+5 5.500000-4 1.687724+5 6.025596-4 1.509333+5 6.700000-4 1.315084+5 7.413102-4 1.144873+5 8.317638-4 9.696506+4 9.225714-4 8.290909+4 1.035142-3 6.916281+4 1.161449-3 5.724645+4 1.303167-3 4.705880+4 1.479108-3 3.763229+4 1.678804-3 2.984855+4 1.883649-3 2.401699+4 2.113489-3 1.920785+4 2.400000-3 1.490024+4 2.722701-3 1.149606+4 3.090295-3 8.796285+3 3.507519-3 6.681327+3 3.935501-3 5.169910+3 4.415704-3 3.975331+3 4.954502-3 3.037213+3 5.559043-3 2.305596+3 6.237348-3 1.738785+3 7.079458-3 1.265477+3 8.035261-3 9.137023+2 9.120108-3 6.549570+2 1.035142-2 4.659292+2 1.174898-2 3.291739+2 1.333521-2 2.309579+2 1.513561-2 1.609342+2 1.737801-2 1.076590+2 2.000000-2 7.095720+1 2.290868-2 4.707859+1 2.630268-2 3.079471+1 3.054921-2 1.929609+1 3.548134-2 1.200127+1 4.168694-2 7.142635+0 4.954502-2 4.064551+0 6.025596-2 2.127255+0 7.498942-2 1.022647+0 1.412538-1 1.204861-1 1.717908-1 6.259558-2 2.041738-1 3.538654-2 2.344229-1 2.256246-2 2.660725-1 1.503987-2 3.000000-1 1.031514-2 3.349654-1 7.347747-3 3.715352-1 5.378740-3 4.120975-1 3.966345-3 4.518559-1 3.045713-3 4.954502-1 2.354181-3 5.432503-1 1.832548-3 5.956621-1 1.436575-3 6.531306-1 1.134300-3 7.161434-1 9.021020-4 7.852356-1 7.226443-4 8.609938-1 5.816558-4 9.225714-1 4.972799-4 9.885531-1 4.281627-4 1.071519+0 3.628329-4 1.174898+0 3.024956-4 1.288250+0 2.540197-4 1.428894+0 2.103042-4 1.698244+0 1.548641-4 1.905461+0 1.271306-4 2.137962+0 1.051239-4 2.454709+0 8.434305-5 2.818383+0 6.819511-5 3.235937+0 5.554061-5 3.758374+0 4.480517-5 4.415704+0 3.583757-5 5.188000+0 2.888051-5 6.165950+0 2.308976-5 7.498942+0 1.806306-5 9.120108+0 1.423901-5 1.135011+1 1.099848-5 1.479108+1 8.118351-6 1.905461+1 6.121505-6 2.371374+1 4.820654-6 2.951209+1 3.808039-6 4.466836+1 2.457879-6 7.161434+1 1.506352-6 1.273503+2 8.363346-7 2.540973+2 4.157279-7 5.069907+2 2.074570-7 4.027170+3 2.602317-8 1.000000+5 1.047300-9 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.883500-4 8.229600-5 1.000000+5 8.229600-5 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.883500-4 1.247200-8 1.000000+5 1.247200-8 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.883500-4 1.060415-4 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.021600-4 9.184240+5 1.025000-4 1.005376+6 1.028000-4 1.081500+6 1.031000-4 1.155156+6 1.034000-4 1.226884+6 1.037000-4 1.296056+6 1.041000-4 1.385400+6 1.045000-4 1.470224+6 1.047129-4 1.513455+6 1.052000-4 1.607860+6 1.056500-4 1.688960+6 1.060000-4 1.747244+6 1.064000-4 1.808348+6 1.069500-4 1.882240+6 1.075000-4 1.944096+6 1.080000-4 1.989448+6 1.086000-4 2.030420+6 1.090000-4 2.049720+6 1.096478-4 2.067753+6 1.102000-4 2.071184+6 1.109175-4 2.061063+6 1.117000-4 2.033844+6 1.125000-4 1.991748+6 1.135011-4 1.924458+6 1.145000-4 1.846284+6 1.156000-4 1.753484+6 1.170000-4 1.631756+6 1.188502-4 1.474043+6 1.208000-4 1.318504+6 1.230269-4 1.157541+6 1.260000-4 9.700840+5 1.290000-4 8.098440+5 1.330000-4 6.357640+5 1.400000-4 4.210560+5 1.430000-4 3.571912+5 1.450000-4 3.221036+5 1.472000-4 2.894916+5 1.495000-4 2.612284+5 1.513561-4 2.422129+5 1.531087-4 2.269810+5 1.550000-4 2.131772+5 1.566751-4 2.029792+5 1.585000-4 1.937996+5 1.603245-4 1.864142+5 1.621810-4 1.805301+5 1.640590-4 1.760594+5 1.660000-4 1.728200+5 1.680000-4 1.707708+5 1.698244-4 1.699017+5 1.720000-4 1.699484+5 1.740000-4 1.708912+5 1.760000-4 1.725700+5 1.790000-4 1.762536+5 1.820000-4 1.810572+5 1.865000-4 1.898252+5 1.930000-4 2.046668+5 2.065380-4 2.387857+5 2.137962-4 2.568475+5 2.213095-4 2.744525+5 2.290868-4 2.910427+5 2.371374-4 3.062016+5 2.454709-4 3.196770+5 2.540973-4 3.313620+5 2.630268-4 3.412344+5 2.730000-4 3.498308+5 2.830000-4 3.560896+5 2.951209-4 3.607872+5 3.054921-4 3.625859+5 3.198895-4 3.623085+5 3.350000-4 3.594252+5 3.507519-4 3.541538+5 3.672823-4 3.466953+5 3.850000-4 3.371040+5 4.073803-4 3.235206+5 4.315191-4 3.079142+5 4.570882-4 2.909542+5 4.850000-4 2.725496+5 5.188000-4 2.511053+5 5.559043-4 2.290383+5 5.956621-4 2.073435+5 6.382635-4 1.864168+5 6.850000-4 1.660604+5 7.413102-4 1.448432+5 8.035261-4 1.250041+5 8.709636-4 1.071099+5 9.500000-4 8.996160+4 1.035142-3 7.517041+4 1.140000-3 6.091725+4 1.244515-3 4.994803+4 1.364583-3 4.028415+4 1.513561-3 3.137326+4 1.678804-3 2.423375+4 1.862087-3 1.857512+4 2.041738-3 1.457219+4 2.238721-3 1.136758+4 2.454709-3 8.817975+3 2.722701-3 6.582285+3 3.019952-3 4.879287+3 3.388442-3 3.469949+3 3.758374-3 2.535696+3 4.168694-3 1.840706+3 4.623810-3 1.327316+3 5.128614-3 9.508206+2 5.754399-3 6.513400+2 6.456542-3 4.428451+2 7.244360-3 2.989197+2 8.222426-3 1.924540+2 9.332543-3 1.229351+2 1.059254-2 7.792228+1 1.202264-2 4.902937+1 1.364583-2 3.063108+1 1.548817-2 1.900462+1 1.778279-2 1.120482+1 2.041738-2 6.559097+0 2.371374-2 3.644700+0 2.786121-2 1.921218+0 3.349654-2 9.167198-1 4.120975-2 3.954929-1 5.559043-2 1.162252-1 8.511380-2 2.026674-2 1.059254-1 8.320218-3 1.258925-1 4.147156-3 1.479108-1 2.181105-3 1.698244-1 1.266101-3 1.949845-1 7.403545-4 2.213095-1 4.558280-4 2.483133-1 2.952752-4 2.786121-1 1.926847-4 3.090295-1 1.321604-4 3.427678-1 9.132508-5 3.801894-1 6.357791-5 4.168694-1 4.638763-5 4.623810-1 3.278661-5 5.128614-1 2.334692-5 5.623413-1 1.737164-5 6.095369-1 1.350057-5 6.606935-1 1.057715-5 7.244360-1 8.063643-6 8.035261-1 5.988681-6 8.609938-1 4.889119-6 9.120108-1 4.158977-6 9.549926-1 3.678707-6 9.885531-1 3.371371-6 1.035142+0 3.023178-6 1.083927+0 2.731357-6 1.135011+0 2.483630-6 1.202264+0 2.221975-6 1.303167+0 1.920249-6 1.428894+0 1.640263-6 1.513561+0 1.489292-6 1.819701+0 1.079057-6 2.018366+0 9.059542-7 2.317395+0 7.245423-7 2.660725+0 5.839443-7 3.054921+0 4.741182-7 3.548134+0 3.813531-7 4.120975+0 3.090259-7 4.841724+0 2.482574-7 5.754399+0 1.978889-7 6.918310+0 1.565999-7 8.413951+0 1.230625-7 1.047129+1 9.479267-8 1.348963+1 7.070141-8 1.737801+1 5.315355-8 2.317395+1 3.876138-8 2.951209+1 2.986795-8 4.466836+1 1.927837-8 7.161434+1 1.181478-8 1.288250+2 6.483565-9 2.570396+2 3.223167-9 5.128614+2 1.608453-9 4.073803+3 2.01775-10 1.000000+5 8.21480-12 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.021600-4 5.632400-5 1.000000+5 5.632400-5 1 56000 7 7 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.021600-4 1.621900-8 1.000000+5 1.621900-8 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.021600-4 4.581978-5 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 9.946000-5 1.427742+6 9.977000-5 1.555302+6 1.000000-4 1.648428+6 1.002000-4 1.726620+6 1.005000-4 1.839966+6 1.008500-4 1.967436+6 1.012000-4 2.088528+6 1.016500-4 2.236734+6 1.020000-4 2.345400+6 1.024000-4 2.462076+6 1.027000-4 2.544198+6 1.032000-4 2.670492+6 1.037000-4 2.782986+6 1.042000-4 2.880654+6 1.047129-4 2.964810+6 1.052000-4 3.029376+6 1.058000-4 3.088230+6 1.065000-4 3.128910+6 1.071519-4 3.141389+6 1.077000-4 3.134628+6 1.083927-4 3.106257+6 1.092000-4 3.049788+6 1.100000-4 2.974212+6 1.110000-4 2.860344+6 1.120000-4 2.732730+6 1.131000-4 2.584614+6 1.148154-4 2.351440+6 1.161449-4 2.176691+6 1.180000-4 1.948110+6 1.208200-4 1.639626+6 1.241300-4 1.335083+6 1.273503-4 1.091120+6 1.365000-4 6.219960+5 1.390000-4 5.393538+5 1.415000-4 4.716732+5 1.435000-4 4.268430+5 1.450000-4 3.979878+5 1.465000-4 3.727962+5 1.485000-4 3.442950+5 1.500000-4 3.263298+5 1.515000-4 3.109758+5 1.531087-4 2.971244+5 1.548817-4 2.846700+5 1.566751-4 2.747410+5 1.585000-4 2.670780+5 1.603245-4 2.615904+5 1.621810-4 2.579723+5 1.643000-4 2.559570+5 1.663400-4 2.558608+5 1.680000-4 2.569374+5 1.705000-4 2.602290+5 1.732100-4 2.656859+5 1.760000-4 2.729460+5 1.800000-4 2.855502+5 1.862087-4 3.084910+5 1.995262-4 3.631937+5 2.065380-4 3.918216+5 2.137962-4 4.198298+5 2.213095-4 4.463100+5 2.290868-4 4.705779+5 2.371374-4 4.922310+5 2.454709-4 5.111029+5 2.540973-4 5.271391+5 2.630268-4 5.402935+5 2.730000-4 5.511606+5 2.830000-4 5.583660+5 2.951209-4 5.627874+5 3.090295-4 5.631019+5 3.235937-4 5.590624+5 3.388442-4 5.514116+5 3.550000-4 5.402010+5 3.715352-4 5.261532+5 3.935501-4 5.049170+5 4.168694-4 4.809415+5 4.430000-4 4.533366+5 4.700000-4 4.247682+5 5.011872-4 3.929482+5 5.370318-4 3.587016+5 5.754399-4 3.248324+5 6.200000-4 2.896380+5 6.606934-4 2.611148+5 7.161434-4 2.271697+5 7.762471-4 1.961773+5 8.413951-4 1.680871+5 9.120108-4 1.430775+5 1.000000-3 1.180200+5 1.083927-3 9.906822+4 1.190000-3 8.030760+4 1.318257-3 6.323448+4 1.428894-3 5.207930+4 1.570000-3 4.126092+4 1.757924-3 3.092366+4 1.972423-3 2.284123+4 2.213095-3 1.671783+4 2.454709-3 1.252834+4 2.722701-3 9.323599+3 3.019952-3 6.889509+3 3.388442-3 4.881497+3 3.758374-3 3.555775+3 4.168694-3 2.572815+3 4.623810-3 1.848968+3 5.128614-3 1.319893+3 5.754399-3 9.005293+2 6.456542-3 6.097428+2 7.244360-3 4.098194+2 8.128305-3 2.734967+2 9.225714-3 1.739432+2 1.047129-2 1.097544+2 1.188502-2 6.871924+1 1.348963-2 4.270646+1 1.531087-2 2.634929+1 1.757924-2 1.543507+1 2.018366-2 8.973046+0 2.344229-2 4.945619+0 2.722701-2 2.705746+0 3.235937-2 1.338378+0 3.801894-2 6.883062-1 4.786301-2 2.638822-1 8.317638-2 2.614532-2 1.035142-1 1.053925-2 1.230269-1 5.177385-3 1.428894-1 2.817015-3 1.640590-1 1.618330-3 1.840772-1 1.026521-3 2.065380-1 6.556896-4 2.290868-1 4.409321-4 2.540973-1 2.987553-4 2.786121-1 2.128861-4 3.054921-1 1.528076-4 3.349654-1 1.105308-4 3.672823-1 8.055823-5 4.027170-1 5.915101-5 4.365158-1 4.538458-5 4.731513-1 3.505182-5 5.069907-1 2.825408-5 5.495409-1 2.213790-5 5.956621-1 1.747325-5 6.456542-1 1.388694-5 6.998420-1 1.111537-5 7.585776-1 8.961176-6 8.511380-1 6.647291-6 9.015711-1 5.758503-6 9.549926-1 5.021717-6 1.000000+0 4.525900-6 1.059254+0 4.002307-6 1.135011+0 3.479462-6 1.216186+0 3.045733-6 1.333521+0 2.570508-6 1.757924+0 1.580094-6 1.972423+0 1.299395-6 2.238721+0 1.056928-6 2.570396+0 8.502256-7 2.951209+0 6.891097-7 3.427678+0 5.532654-7 4.000000+0 4.446500-7 4.677351+0 3.590006-7 5.559043+0 2.857162-7 6.683439+0 2.257864-7 8.128305+0 1.771872-7 1.000000+1 1.381900-7 1.244515+1 1.070760-7 1.548817+1 8.347281-8 1.949845+1 6.463559-8 2.570396+1 4.781841-8 3.672823+1 3.269858-8 5.559043+1 2.119305-8 9.332543+1 1.243229-8 1.840772+2 6.235285-9 3.672823+2 3.106398-9 1.462177+3 7.76943-10 1.000000+5 1.13420-11 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 9.946000-5 5.712300-5 1.000000+5 5.712300-5 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 9.946000-5 4.233700-5 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 3.839000-5 6.660480+4 4.000000-5 7.507560+4 4.120975-5 8.145294+4 4.265795-5 8.886677+4 4.400000-5 9.540740+4 4.518559-5 1.008731+5 4.677351-5 1.077478+5 4.850000-5 1.146030+5 5.011872-5 1.204298+5 5.188000-5 1.261092+5 5.400000-5 1.320586+5 5.623413-5 1.373114+5 5.821032-5 1.411276+5 6.070000-5 1.448830+5 6.309573-5 1.474542+5 6.531306-5 1.490038+5 6.839116-5 1.500039+5 7.161434-5 1.498727+5 7.500000-5 1.487424+5 7.943282-5 1.461846+5 8.413951-5 1.426341+5 9.015711-5 1.374713+5 9.772372-5 1.306347+5 1.047129-4 1.242590+5 1.122018-4 1.174874+5 1.216186-4 1.092215+5 1.330000-4 9.987280+4 1.479108-4 8.903889+4 1.659587-4 7.806198+4 1.850000-4 6.845820+4 2.113489-4 5.778354+4 2.500000-4 4.628020+4 2.917427-4 3.742888+4 3.507519-4 2.884120+4 4.265795-4 2.167451+4 5.069907-4 1.673111+4 6.025596-4 1.283459+4 7.244360-4 9.601185+3 8.709636-4 7.124538+3 1.047129-3 5.243657+3 1.258925-3 3.829577+3 1.531087-3 2.721627+3 1.883649-3 1.881909+3 2.371374-3 1.238646+3 2.951209-3 8.261872+2 3.672823-3 5.468330+2 4.570882-3 3.591437+2 5.559043-3 2.447615+2 6.683439-3 1.694013+2 8.035261-3 1.163946+2 9.660509-3 7.938337+1 1.161449-2 5.369887+1 1.412538-2 3.516843+1 1.737801-2 2.230794+1 2.018366-2 1.595478+1 2.344229-2 1.131555+1 2.754229-2 7.755305+0 3.273407-2 5.132309+0 3.890451-2 3.369963+0 4.623810-2 2.195294+0 5.432503-2 1.460795+0 6.531306-2 9.096824-1 7.943282-2 5.454916-1 9.660509-2 3.239463-1 1.230269-1 1.687560-1 2.454709-1 2.573737-2 2.951209-1 1.568191-2 3.467369-1 1.023524-2 4.000000-1 7.063700-3 4.518559-1 5.183207-3 5.069907-1 3.894846-3 5.688529-1 2.947828-3 6.309573-1 2.309286-3 6.998420-1 1.821049-3 7.762471-1 1.445662-3 8.709636-1 1.126597-3 9.549926-1 9.293850-4 1.047129+0 7.723589-4 1.188502+0 6.028879-4 1.333521+0 4.847070-4 1.500000+0 3.907000-4 1.698244+0 3.134757-4 1.905461+0 2.574402-4 2.162719+0 2.090217-4 2.483133+0 1.678239-4 2.851018+0 1.357591-4 3.273407+0 1.106234-4 3.801894+0 8.929115-5 4.466836+0 7.145965-5 5.248075+0 5.761690-5 6.237348+0 4.608655-5 7.585776+0 3.606969-5 9.225714+0 2.844552-5 1.148154+1 2.198191-5 1.479108+1 1.644289-5 1.905461+1 1.239831-5 2.511886+1 9.170980-6 3.235937+1 6.994190-6 4.731513+1 4.687820-6 7.585776+1 2.875697-6 1.380384+2 1.560856-6 2.754229+2 7.762834-7 1.096478+3 1.938529-7 1.000000+5 2.121300-9 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 3.839000-5 3.839000-5 1.000000+5 3.839000-5 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.839000-5 0.0 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.430000-5 6.890940+6 2.483133-5 6.430505+6 2.630268-5 5.303632+6 2.884032-5 3.870021+6 3.126079-5 2.921385+6 3.427678-5 2.102477+6 4.365158-5 8.738952+5 4.786301-5 6.298714+5 5.150000-5 4.887720+5 5.500000-5 3.916500+5 5.821032-5 3.252526+5 6.165950-5 2.710387+5 6.531306-5 2.275621+5 6.839116-5 1.990879+5 7.161434-5 1.752312+5 7.500000-5 1.551856+5 7.852356-5 1.384650+5 8.222426-5 1.243463+5 8.650000-5 1.113210+5 9.015711-5 1.022851+5 9.500000-5 9.254280+4 1.000000-4 8.448160+4 1.060000-4 7.678060+4 1.122018-4 7.047908+4 1.190000-4 6.496560+4 1.273503-4 5.960660+4 1.380384-4 5.428199+4 1.513561-4 4.915866+4 1.720000-4 4.320740+4 2.570396-4 2.928909+4 3.019952-4 2.487350+4 3.507519-4 2.121883+4 4.073803-4 1.794251+4 4.623810-4 1.546277+4 5.248075-4 1.323171+4 5.956621-4 1.124323+4 6.760830-4 9.482972+3 7.673615-4 7.937286+3 8.709636-4 6.590651+3 9.885531-4 5.429595+3 1.122018-3 4.438324+3 1.273503-3 3.600252+3 1.445440-3 2.897961+3 1.640590-3 2.315780+3 1.862087-3 1.837555+3 2.137962-3 1.417042+3 2.426610-3 1.109087+3 2.754229-3 8.621179+2 3.126079-3 6.655221+2 3.548134-3 5.101717+2 4.027170-3 3.882825+2 4.570882-3 2.933362+2 5.188000-3 2.199744+2 5.888437-3 1.637352+2 6.683439-3 1.209466+2 7.585776-3 8.867985+1 8.609938-3 6.453487+1 9.885531-3 4.527221+1 1.148154-2 3.065513+1 1.318257-2 2.123581+1 1.500000-2 1.495377+1 1.698244-2 1.057637+1 1.949845-2 7.137671+0 2.264644-2 4.624686+0 2.630268-2 2.973149+0 3.054921-2 1.897468+0 3.589219-2 1.160905+0 4.265795-2 6.805775-1 5.128614-2 3.821436-1 6.382635-2 1.908656-1 8.709636-2 7.049393-2 1.380384-1 1.604189-2 1.717908-1 7.995834-3 2.065380-1 4.481552-3 2.398833-1 2.818180-3 2.754229-1 1.849142-3 3.126079-1 1.265219-3 3.548134-1 8.720855-4 4.000000-1 6.177500-4 4.466836-1 4.528365-4 5.000000-1 3.322000-4 5.559043-1 2.501073-4 6.165950-1 1.908909-4 6.839117-1 1.468180-4 7.585776-1 1.137881-4 8.609938-1 8.390821-5 9.225714-1 7.149355-5 9.772372-1 6.293406-5 1.047129+0 5.444193-5 1.135011+0 4.629792-5 1.244515+0 3.877167-5 1.364583+0 3.272410-5 1.678804+0 2.265358-5 1.883649+0 1.858204-5 2.113489+0 1.535408-5 2.398833+0 1.253556-5 2.754229+0 1.012271-5 3.162278+0 8.234516-6 3.672823+0 6.635151-6 4.315191+0 5.301180-6 5.069907+0 4.267746-6 6.025596+0 3.408663-6 7.328245+0 2.664094-6 8.912509+0 2.098263-6 1.109175+1 1.619440-6 1.445440+1 1.194435-6 1.883649+1 8.886505-7 2.371374+1 6.910157-7 2.951209+1 5.458625-7 4.466836+1 3.523365-7 7.161434+1 2.159284-7 1.288250+2 1.184953-7 2.570396+2 5.890510-8 5.128614+2 2.939573-8 4.073803+3 3.687625-9 1.000000+5 1.50130-10 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.430000-5 2.430000-5 1.000000+5 2.430000-5 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.430000-5 0.0 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.200000-5 1.416972+7 2.317395-5 1.180089+7 2.851018-5 5.610450+6 3.630781-5 2.334170+6 3.935501-5 1.753111+6 4.220000-5 1.377688+6 4.500000-5 1.111892+6 4.731513-5 9.459498+5 5.011872-5 7.912830+5 5.248075-5 6.900114+5 5.500000-5 6.037760+5 5.754399-5 5.341257+5 6.025596-5 4.745908+5 6.309573-5 4.246655+5 6.606934-5 3.827532+5 6.918310-5 3.474867+5 7.244360-5 3.176886+5 7.585776-5 2.923714+5 8.000000-5 2.676092+5 8.500000-5 2.439200+5 9.015711-5 2.244764+5 9.660509-5 2.051145+5 1.047129-4 1.860740+5 1.150000-4 1.674976+5 1.303167-4 1.468571+5 1.840772-4 1.032255+5 2.213095-4 8.493792+4 2.600160-4 7.110514+4 3.019952-4 5.980921+4 3.467369-4 5.064367+4 3.935501-4 4.320615+4 4.518559-4 3.609594+4 5.128614-4 3.039984+4 5.888437-4 2.502373+4 6.683439-4 2.078532+4 7.498942-4 1.745611+4 8.609938-4 1.404265+4 9.772372-4 1.141567+4 1.109175-3 9.211952+3 1.258925-3 7.380996+3 1.428894-3 5.873004+3 1.640590-3 4.542196+3 1.883649-3 3.485137+3 2.162719-3 2.653140+3 2.454709-3 2.051944+3 2.786121-3 1.576269+3 3.162278-3 1.202630+3 3.589219-3 9.112068+2 4.073803-3 6.854699+2 4.623810-3 5.118866+2 5.248075-3 3.794126+2 5.956621-3 2.790849+2 6.760830-3 2.036877+2 7.673615-3 1.475319+2 8.810489-3 1.029032+2 1.000000-2 7.341214+1 1.135011-2 5.197055+1 1.288250-2 3.652698+1 1.479108-2 2.466851+1 1.698244-2 1.653417+1 1.949845-2 1.099775+1 2.238721-2 7.258683+0 2.570396-2 4.756086+0 2.985383-2 2.985442+0 3.467369-2 1.859604+0 4.073803-2 1.108462+0 4.841724-2 6.318386-1 5.754399-2 3.573327-1 7.161434-2 1.721916-1 1.000000-1 5.595409-2 1.396368-1 1.810465-2 1.698244-1 9.403351-3 2.018366-1 5.314005-3 2.317395-1 3.386644-3 2.630268-1 2.256322-3 2.951209-1 1.570344-3 3.311311-1 1.101094-3 3.672823-1 8.055639-4 4.073803-1 5.936305-4 4.518559-1 4.409036-4 4.954502-1 3.408257-4 5.432503-1 2.653089-4 5.956621-1 2.079883-4 6.531306-1 1.642693-4 7.161434-1 1.306900-4 7.852356-1 1.047294-4 8.609938-1 8.431347-5 9.225714-1 7.208906-5 9.885531-1 6.207266-5 1.071519+0 5.260301-5 1.174898+0 4.385554-5 1.288250+0 3.682740-5 1.428894+0 3.048971-5 1.698244+0 2.244936-5 1.905461+0 1.842882-5 2.137962+0 1.524135-5 2.454709+0 1.222917-5 2.818383+0 9.887030-6 3.235937+0 8.051948-6 3.758374+0 6.495599-6 4.415704+0 5.195567-6 5.188000+0 4.186978-6 6.165950+0 3.347425-6 7.498942+0 2.618673-6 9.120108+0 2.064246-6 1.135011+1 1.594563-6 1.462177+1 1.192344-6 1.883649+1 8.987533-7 2.371374+1 6.988765-7 2.951209+1 5.520712-7 4.466836+1 3.563391-7 7.161434+1 2.183804-7 1.288250+2 1.198374-7 2.570396+2 5.957503-8 5.128614+2 2.973015-8 4.073803+3 3.729558-9 1.000000+5 1.51840-10 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.200000-5 2.200000-5 1.000000+5 2.200000-5 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.200000-5 0.0 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 4.640000-6 2.455217+6 5.011872-6 1.681515+6 5.308844-6 1.259367+6 5.600000-6 9.570620+5 5.888437-6 7.347307+5 6.200000-6 5.562940+5 6.531306-6 4.168675+5 6.850000-6 3.179580+5 7.200000-6 2.377480+5 7.585776-6 1.739540+5 8.035261-6 1.222812+5 8.810489-6 6.915924+4 9.120108-6 5.613883+4 9.350000-6 4.854220+4 9.600000-6 4.189600+4 9.772372-6 3.813490+4 9.960000-6 3.468820+4 1.015000-5 3.179240+4 1.027000-5 3.023340+4 1.042000-5 2.854540+4 1.060000-5 2.685960+4 1.077000-5 2.556580+4 1.092000-5 2.463560+4 1.110000-5 2.374820+4 1.127000-5 2.311140+4 1.142000-5 2.269180+4 1.161449-5 2.232055+4 1.180000-5 2.212460+4 1.202264-5 2.206241+4 1.222000-5 2.214080+4 1.244515-5 2.235793+4 1.273503-5 2.280039+4 1.303167-5 2.339974+4 1.348963-5 2.453836+4 1.423200-5 2.670057+4 1.548817-5 3.060812+4 1.621810-5 3.280101+4 1.698244-5 3.495109+4 1.778279-5 3.700785+4 1.870000-5 3.910640+4 1.950000-5 4.071400+4 2.041738-5 4.230962+4 2.150000-5 4.386700+4 2.270000-5 4.521780+4 2.400000-5 4.629700+4 2.540973-5 4.708702+4 2.691535-5 4.756566+4 2.851018-5 4.773470+4 3.019952-5 4.759451+4 3.198895-5 4.714544+4 3.400000-5 4.636160+4 3.630781-5 4.520623+4 3.900000-5 4.363300+4 4.168694-5 4.191605+4 4.466836-5 3.992050+4 4.841724-5 3.742544+4 5.308844-5 3.447464+4 5.821032-5 3.150517+4 6.531306-5 2.793084+4 7.328245-5 2.459845+4 8.709636-5 2.015520+4 1.188502-4 1.390299+4 1.350000-4 1.188270+4 1.500000-4 1.036726+4 1.659587-4 9.021075+3 1.883649-4 7.513336+3 2.570396-4 4.747359+3 3.672823-4 2.775237+3 4.570882-4 1.983504+3 5.888437-4 1.335570+3 7.498942-4 9.041768+2 8.912509-4 6.806262+2 1.083927-3 4.886603+2 1.333521-3 3.416041+2 1.621810-3 2.419072+2 1.972423-3 1.701117+2 2.483133-3 1.117347+2 3.090295-3 7.440305+1 3.845918-3 4.916834+1 4.731513-3 3.297561+1 5.754399-3 2.244913+1 6.918310-3 1.551983+1 8.317638-3 1.065152+1 1.000000-2 7.255661+0 1.202264-2 4.904265+0 1.428894-2 3.372164+0 1.698244-2 2.301686+0 2.018366-2 1.558995+0 2.371374-2 1.075801+0 2.786121-2 7.371597-1 3.273407-2 5.014828-1 3.890451-2 3.292679-1 4.623810-2 2.144881-1 5.432503-2 1.427248-1 6.531306-2 8.888219-2 7.943282-2 5.330129-2 9.660509-2 3.165433-2 1.244515-1 1.598385-2 2.483133-1 2.439001-3 3.000000-1 1.468000-3 3.507519-1 9.715634-4 4.027170-1 6.794452-4 4.570882-1 4.931062-4 5.128614-1 3.710333-4 5.754399-1 2.812724-4 6.382635-1 2.207246-4 7.079458-1 1.744036-4 7.852356-1 1.387821-4 8.709636-1 1.112309-4 9.549926-1 9.196768-5 1.071519+0 7.312460-5 1.230269+0 5.592699-5 1.380384+0 4.504365-5 1.548817+0 3.652472-5 1.737801+0 2.982804-5 1.949845+0 2.453260-5 2.213095+0 1.994214-5 2.540973+0 1.603133-5 2.917427+0 1.298525-5 3.349654+0 1.059413-5 3.890451+0 8.561301-6 4.570882+0 6.859277-6 5.432503+0 5.453374-6 6.456542+0 4.368255-6 7.852356+0 3.423467-6 9.660509+0 2.666504-6 1.188502+1 2.091518-6 1.513561+1 1.586645-6 1.927525+1 1.212396-6 2.540973+1 8.968653-7 3.427678+1 6.515998-7 5.011872+1 4.371886-7 8.128305+1 2.652740-7 1.531087+2 1.391571-7 3.054921+2 6.925171-8 1.216186+3 1.730442-8 1.000000+5 2.10070-10 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 4.640000-6 4.640000-6 1.000000+5 4.640000-6 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 4.640000-6 0.0 1.000000+5 1.000000+5 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.138880-7 1.027500+0 1.161800-6 1.028100+0 1.581770-6 1.028750+0 2.138880-6 1.029500+0 2.927110-6 1.030100+0 3.681200-6 1.031000+0 5.037140-6 1.032000+0 6.892070-6 1.033200+0 9.654620-6 1.034000+0 1.185190-5 1.035300+0 1.608730-5 1.036640+0 2.138880-5 1.038200+0 2.886490-5 1.039700+0 3.750120-5 1.041500+0 4.989490-5 1.043800+0 6.925580-5 1.046400+0 9.635640-5 1.048300+0 1.199660-4 1.051200+0 1.627320-4 1.054080+0 2.138880-4 1.057700+0 2.915440-4 1.061100+0 3.792270-4 1.065100+0 5.020570-4 1.070400+0 7.004270-4 1.076200+0 9.679930-4 1.080600+0 1.208870-3 1.087100+0 1.628730-3 1.093710+0 2.138880-3 1.102600+0 2.965380-3 1.110700+0 3.867190-3 1.120600+0 5.172700-3 1.133300+0 7.191560-3 1.147500+0 9.928670-3 1.158200+0 1.233880-2 1.174100+0 1.649280-2 1.190110+0 2.138880-2 1.205100+0 2.663440-2 1.227500+0 3.565890-2 1.250000+0 4.605000-2 1.265600+0 5.393530-2 1.294900+0 7.006770-2 1.320600+0 8.541950-2 1.343000+0 9.956750-2 1.382200+0 1.257290-1 1.433800+0 1.623780-1 1.500000+0 2.128000-1 1.589800+0 2.882740-1 1.665000+0 3.574860-1 1.784700+0 4.768880-1 1.892300+0 5.909440-1 2.000000+0 7.078000-1 2.044000+0 7.554000-1 2.163500+0 8.848590-1 2.372600+0 1.110750+0 2.647100+0 1.401570+0 3.000000+0 1.761000+0 3.500000+0 2.238480+0 4.000000+0 2.681000+0 4.750000+0 3.286220+0 5.000000+0 3.473000+0 6.000000+0 4.155000+0 7.000000+0 4.761000+0 8.000000+0 5.305000+0 9.000000+0 5.799000+0 1.000000+1 6.252000+0 1.100000+1 6.670000+0 1.200000+1 7.057000+0 1.300000+1 7.419000+0 1.400000+1 7.752000+0 1.500000+1 8.060000+0 1.600000+1 8.346000+0 1.800000+1 8.866000+0 2.000000+1 9.332000+0 2.200000+1 9.754000+0 2.400000+1 1.014000+1 2.600000+1 1.049000+1 2.800000+1 1.081000+1 3.000000+1 1.110000+1 4.000000+1 1.231000+1 5.000000+1 1.320000+1 6.000000+1 1.389000+1 8.000000+1 1.491000+1 1.000000+2 1.564000+1 1.500000+2 1.680000+1 2.000000+2 1.749000+1 3.000000+2 1.830000+1 4.000000+2 1.876000+1 5.000000+2 1.907000+1 6.000000+2 1.929000+1 8.000000+2 1.958000+1 1.000000+3 1.977000+1 1.500000+3 2.004000+1 2.000000+3 2.019000+1 3.000000+3 2.035000+1 4.000000+3 2.044000+1 5.000000+3 2.049000+1 6.000000+3 2.053000+1 8.000000+3 2.058000+1 1.000000+4 2.061000+1 1.500000+4 2.066000+1 2.000000+4 2.068000+1 3.000000+4 2.070000+1 4.000000+4 2.072000+1 5.000000+4 2.073000+1 6.000000+4 2.073000+1 8.000000+4 2.074000+1 1.000000+5 2.074000+1 1 56000 7 8 1.373400+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 5.614730-7 2.099900+0 1.315050-6 2.106600+0 1.829340-6 2.114000+0 2.531120-6 2.119500+0 3.151230-6 2.127900+0 4.273670-6 2.136250+0 5.614730-6 2.147000+0 7.698190-6 2.156900+0 9.999020-6 2.169000+0 1.334430-5 2.184500+0 1.854910-5 2.201800+0 2.566320-5 2.214800+0 3.197430-5 2.234200+0 4.301110-5 2.253680+0 5.614730-5 2.281500+0 7.864420-5 2.307000+0 1.032990-4 2.338200+0 1.388940-4 2.377400+0 1.923520-4 2.410200+0 2.446390-4 2.446800+0 3.111950-4 2.485900+0 3.918120-4 2.532900+0 5.014350-4 2.556430+0 5.614730-4 2.611900+0 7.159410-4 2.660400+0 8.655360-4 2.745300+0 1.158470-3 2.809000+0 1.402970-3 2.904500+0 1.807390-3 3.000000+0 2.256000-3 3.125000+0 2.908990-3 3.234400+0 3.539520-3 3.425800+0 4.766180-3 3.569300+0 5.779160-3 3.784700+0 7.428430-3 4.000000+0 9.201000-3 4.250000+0 1.136750-2 4.625000+0 1.477150-2 5.000000+0 1.831000-2 5.500000+0 2.316780-2 6.000000+0 2.809000-2 6.750000+0 3.541050-2 7.000000+0 3.782000-2 8.000000+0 4.725000-2 9.000000+0 5.625000-2 1.000000+1 6.480000-2 1.100000+1 7.289000-2 1.200000+1 8.050000-2 1.300000+1 8.768000-2 1.400000+1 9.450000-2 1.500000+1 1.010000-1 1.600000+1 1.071000-1 1.800000+1 1.184000-1 2.000000+1 1.287000-1 2.200000+1 1.382000-1 2.400000+1 1.468000-1 2.600000+1 1.548000-1 2.800000+1 1.622000-1 3.000000+1 1.691000-1 4.000000+1 1.976000-1 5.000000+1 2.192000-1 6.000000+1 2.363000-1 8.000000+1 2.620000-1 1.000000+2 2.807000-1 1.500000+2 3.116000-1 2.000000+2 3.311000-1 3.000000+2 3.549000-1 4.000000+2 3.693000-1 5.000000+2 3.791000-1 6.000000+2 3.864000-1 8.000000+2 3.964000-1 1.000000+3 4.031000-1 1.500000+3 4.132000-1 2.000000+3 4.190000-1 3.000000+3 4.253000-1 4.000000+3 4.290000-1 5.000000+3 4.313000-1 6.000000+3 4.330000-1 8.000000+3 4.351000-1 1.000000+4 4.365000-1 1.500000+4 4.384000-1 2.000000+4 4.395000-1 3.000000+4 4.405000-1 4.000000+4 4.412000-1 5.000000+4 4.416000-1 6.000000+4 4.418000-1 8.000000+4 4.421000-1 1.000000+5 4.423000-1 1 56000 7 8 1.373400+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 56000 7 9 1.373400+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 5.600000+1 1.000000+5 5.600000+1 5.000000+5 5.597000+1 7.500000+5 5.594000+1 9.375000+5 5.592000+1 1.000000+6 5.591200+1 1.250000+6 5.586770+1 1.500000+6 5.582200+1 1.875000+6 5.572520+1 2.000000+6 5.568800+1 2.375000+6 5.556410+1 2.500000+6 5.551900+1 2.875000+6 5.537270+1 3.000000+6 5.532000+1 3.250000+6 5.520870+1 3.625000+6 5.503000+1 4.000000+6 5.484100+1 4.437500+6 5.460990+1 4.812500+6 5.440030+1 5.000000+6 5.429100+1 5.500000+6 5.398500+1 5.875000+6 5.374730+1 6.437500+6 5.337940+1 6.500000+6 5.333820+1 7.000000+6 5.301300+1 7.875000+6 5.243470+1 9.000000+6 5.167900+1 1.000000+7 5.100000+1 1.250000+7 4.935600+1 1.500000+7 4.771500+1 1.750000+7 4.606800+1 2.000000+7 4.443900+1 2.250000+7 4.283140+1 2.375000+7 4.204280+1 2.500000+7 4.127700+1 2.875000+7 3.908970+1 3.000000+7 3.840700+1 3.250000+7 3.710410+1 3.500000+7 3.588690+1 3.625000+7 3.530400+1 4.000000+7 3.365100+1 4.500000+7 3.163410+1 5.000000+7 2.977500+1 5.500000+7 2.804110+1 6.000000+7 2.643100+1 6.750000+7 2.425110+1 7.000000+7 2.359000+1 8.000000+7 2.126900+1 9.000000+7 1.942400+1 1.000000+8 1.795400+1 1.125000+8 1.648100+1 1.187500+8 1.582910+1 1.250000+8 1.521000+1 1.359400+8 1.417070+1 1.437500+8 1.345540+1 1.453100+8 1.331390+1 1.500000+8 1.289400+1 1.562500+8 1.234250+1 1.671900+8 1.140740+1 1.750000+8 1.076850+1 1.784700+8 1.049310+1 1.907700+8 9.560040+0 2.000000+8 8.905200+0 2.281300+8 7.247810+0 2.359400+8 6.908100+0 2.375000+8 6.846730+0 2.453100+8 6.572720+0 2.500000+8 6.433600+0 3.000000+8 5.468600+0 3.500000+8 4.503600+0 3.625000+8 4.344660+0 3.906300+8 4.058130+0 4.000000+8 3.964200+0 4.179700+8 3.770220+0 4.330100+8 3.600580+0 4.497600+8 3.411240+0 4.750000+8 3.136100+0 4.784700+8 3.099920+0 5.000000+8 2.885400+0 5.437500+8 2.505550+0 5.812500+8 2.226180+0 6.000000+8 2.099000+0 6.437500+8 1.837900+0 6.683600+8 1.722000+0 6.894500+8 1.642930+0 7.000000+8 1.610600+0 7.125000+8 1.578310+0 8.000000+8 1.424100+0 8.250000+8 1.376560+0 8.468800+8 1.331830+0 1.000000+9 1.051200+0 1.045900+9 9.962760-1 1.088000+9 9.558580-1 1.115500+9 9.330850-1 1.331800+9 7.989360-1 1.375000+9 7.746130-1 1.391900+9 7.650230-1 1.445900+9 7.336170-1 1.500000+9 7.008300-1 1.562500+9 6.613840-1 1.617200+9 6.265400-1 1.665000+9 5.963300-1 1.748800+9 5.451600-1 1.811600+9 5.088760-1 1.905800+9 4.585230-1 2.000000+9 4.133400-1 2.139200+9 3.556850-1 2.272600+9 3.091900-1 2.443000+9 2.599580-1 2.602800+9 2.221640-1 2.825100+9 1.800890-1 2.961100+9 1.591310-1 3.215900+9 1.273560-1 3.536500+9 9.775470-2 3.804800+9 7.931150-2 4.103600+9 6.360290-2 4.423800+9 5.084630-2 4.807900+9 3.949390-2 5.000000+9 3.501400-2 5.375000+9 2.796580-2 6.031300+9 1.944320-2 7.015600+9 1.198020-2 8.000000+9 7.838700-3 1.00000+10 3.810300-3 1.13510+10 2.536330-3 1.41440+10 1.258810-3 1.70770+10 6.945850-4 2.01080+10 4.164460-4 2.51010+10 2.091220-4 2.97820+10 1.234640-4 3.85600+10 5.604190-5 4.62400+10 3.229180-5 5.96800+10 1.496330-5 7.98400+10 6.263890-6 1.00000+11 3.206800-6 1.34280+11 1.341190-6 1.77440+11 5.908920-7 2.63330+11 1.863670-7 4.88110+11 3.117400-8 1.16740+12 2.562330-9 3.55150+12 1.09750-10 1.00000+14 9.66550-15 2.05350+15 1.96227-18 1.00000+17 3.22860-23 1 56000 7 0 1.373400+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.24000-11 1.000000+2 1.240000-9 1.000000+3 1.240000-7 1.000000+4 1.240000-5 1.000000+5 1.240000-3 5.000000+5 3.100000-2 7.500000+5 6.975000-2 9.375000+5 1.089844-1 1.000000+6 1.240000-1 1.250000+6 1.915790-1 1.500000+6 2.723000-1 1.875000+6 4.168330-1 2.000000+6 4.707000-1 2.375000+6 6.467710-1 2.500000+6 7.099000-1 2.875000+6 9.104640-1 3.000000+6 9.806000-1 3.250000+6 1.124610+0 3.625000+6 1.348200+0 4.000000+6 1.577800+0 4.437500+6 1.848700+0 4.812500+6 2.080690+0 5.000000+6 2.196000+0 5.500000+6 2.498300+0 5.875000+6 2.720180+0 6.437500+6 3.043810+0 6.500000+6 3.079060+0 7.000000+6 3.356400+0 7.875000+6 3.821760+0 9.000000+6 4.397600+0 1.000000+7 4.902000+0 1.250000+7 6.175400+0 1.500000+7 7.468000+0 1.750000+7 8.740500+0 2.000000+7 9.976000+0 2.250000+7 1.117610+1 2.375000+7 1.176390+1 2.500000+7 1.234300+1 2.875000+7 1.401390+1 3.000000+7 1.454400+1 3.250000+7 1.555100+1 3.500000+7 1.649440+1 3.625000+7 1.694280+1 4.000000+7 1.820100+1 4.500000+7 1.970100+1 5.000000+7 2.107800+1 5.500000+7 2.238760+1 6.000000+7 2.365400+1 6.750000+7 2.548840+1 7.000000+7 2.608300+1 8.000000+7 2.835900+1 9.000000+7 3.045300+1 1.000000+8 3.233600+1 1.125000+8 3.437190+1 1.187500+8 3.527070+1 1.250000+8 3.609900+1 1.359400+8 3.739070+1 1.437500+8 3.821940+1 1.453100+8 3.837510+1 1.500000+8 3.883600+1 1.562500+8 3.941520+1 1.671900+8 4.036670+1 1.750000+8 4.099580+1 1.784700+8 4.126090+1 1.907700+8 4.215640+1 2.000000+8 4.278400+1 2.281300+8 4.447270+1 2.359400+8 4.489680+1 2.375000+8 4.497680+1 2.453100+8 4.537210+1 2.500000+8 4.560500+1 3.000000+8 4.770900+1 3.500000+8 4.933600+1 3.625000+8 4.968110+1 3.906300+8 5.039840+1 4.000000+8 5.061500+1 4.179700+8 5.099900+1 4.330100+8 5.129750+1 4.497600+8 5.160790+1 4.750000+8 5.202090+1 4.784700+8 5.207600+1 5.000000+8 5.238300+1 5.437500+8 5.290070+1 5.812500+8 5.326520+1 6.000000+8 5.342300+1 6.437500+8 5.373180+1 6.683600+8 5.388340+1 6.894500+8 5.399860+1 7.000000+8 5.405500+1 7.125000+8 5.411370+1 8.000000+8 5.447700+1 8.250000+8 5.455970+1 8.468800+8 5.463010+1 1.000000+9 5.503800+1 1.045900+9 5.513030+1 1.088000+9 5.521150+1 1.115500+9 5.526300+1 1.331800+9 5.556080+1 1.375000+9 5.560630+1 1.391900+9 5.562130+1 1.445900+9 5.566790+1 1.500000+9 5.571300+1 1.562500+9 5.575190+1 1.617200+9 5.578470+1 1.665000+9 5.580660+1 1.748800+9 5.584140+1 1.811600+9 5.586650+1 1.905800+9 5.589240+1 2.000000+9 5.591700+1 2.139200+9 5.593970+1 2.272600+9 5.596020+1 2.443000+9 5.597930+1 2.602800+9 5.598870+1 2.825100+9 5.600090+1 2.961100+9 5.600780+1 3.215900+9 5.600800+1 3.536500+9 5.600630+1 3.804800+9 5.600490+1 4.103600+9 5.600360+1 4.423800+9 5.600220+1 4.807900+9 5.600070+1 5.000000+9 5.600000+1 5.375000+9 5.600000+1 6.031300+9 5.600000+1 7.015600+9 5.600000+1 8.000000+9 5.600000+1 1.00000+10 5.600000+1 1.13510+10 5.600000+1 1.41440+10 5.600000+1 1.70770+10 5.600000+1 2.01080+10 5.600000+1 2.51010+10 5.600000+1 2.97820+10 5.600000+1 3.85600+10 5.600000+1 4.62400+10 5.600000+1 5.96800+10 5.600000+1 7.98400+10 5.600000+1 1.00000+11 5.600000+1 1.34280+11 5.600000+1 1.77440+11 5.600000+1 2.63330+11 5.600000+1 4.88110+11 5.600000+1 1.16740+12 5.600000+1 3.55150+12 5.600000+1 1.00000+14 5.600000+1 2.05350+15 5.600000+1 1.00000+17 5.600000+1 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.834194-6 0.0 1.842094-6 3.736288+0 1.843223-6 4.264597+0 1.847738-6 7.789636+0 1.852252-6 1.313440+1 1.857331-6 2.155748+1 1.865161-6 3.760862+1 1.870875-6 4.847508+1 1.875240-6 5.412564+1 1.879818-6 5.602751+1 1.884548-6 5.324979+1 1.889100-6 4.676583+1 1.896031-6 3.284982+1 1.901913-6 2.094065+1 1.906710-6 1.317791+1 1.910942-6 8.056093+0 1.915598-6 4.363715+0 1.922226-6 1.128316+0 1.924486-6 0.0 1.944782-6 0.0 1.951962-6 6.632174+0 1.954355-6 8.814857+0 1.959142-6 1.610106+1 1.964228-6 2.809070+1 1.969314-6 4.455898+1 1.977848-6 7.869598+1 1.983376-6 9.939635+1 1.988638-6 1.122145+2 1.993340-6 1.156450+2 1.997876-6 1.108334+2 2.003084-6 9.634659+1 2.010619-6 6.677560+1 2.016584-6 4.328401+1 2.021371-6 2.794265+1 2.026158-6 1.665182+1 2.030945-6 9.160303+0 2.038125-6 2.328586+0 2.040518-6 0.0 2.802334-6 0.0 2.809232-6 4.08766-16 2.816129-6 8.08835-16 2.823027-6 1.47740-15 2.829924-6 2.49111-15 2.836822-6 3.87739-15 2.843720-6 5.57108-15 2.850617-6 7.38915-15 2.857515-6 9.04696-15 2.864412-6 1.02250-14 2.871310-6 1.06680-14 2.878208-6 1.02743-14 2.885105-6 9.13431-15 2.892003-6 7.49642-15 2.905798-6 3.97166-15 2.912696-6 2.56397-15 2.919593-6 1.52794-15 2.926491-6 8.40533-16 2.933388-6 4.26832-16 2.940286-6 0.0 3.227743-6 0.0 3.235785-6 3.537407-6 3.243750-6 1.206108-5 3.251714-6 2.279586-5 3.259679-6 3.982516-5 3.267643-6 6.431651-5 3.271438-6 7.939205-5 3.287542-6 9.258590-2 3.295594-6 1.690250-1 3.303647-6 2.848969-1 3.305597-6 3.232029-1 3.312970-6 6.250930-1 3.322156-6 1.039309+0 3.332257-6 1.667274+0 3.342571-6 2.464797+0 3.363090-6 4.187407+0 3.371679-6 4.715186+0 3.379146-6 4.965211+0 3.388545-6 4.874440+0 3.396113-6 4.519559+0 3.404250-6 3.884537+0 3.423573-6 2.026310+0 3.427642-6 1.652715+0 3.435778-6 1.047987+0 3.443914-6 6.245252-1 3.452050-6 3.435565-1 3.460187-6 1.744618-1 3.468323-6 0.0 3.697940-6 0.0 3.698018-6 6.02487-14 3.716222-6 3.25839-11 3.725325-6 5.94869-11 3.734427-6 1.00256-10 3.743529-6 1.55979-10 3.752631-6 2.24021-10 3.761733-6 2.97016-10 3.770836-6 3.63526-10 3.779938-6 4.10731-10 3.783055-6 4.16814-10 3.786559-6 4.470776-7 3.797021-6 3.730438-6 3.812080-6 1.485502-2 3.816266-6 3.733658-2 3.825449-6 9.187401-2 3.830846-6 1.280018-1 3.834551-6 1.633993-1 3.840229-6 2.226606-1 3.849612-6 3.591236-1 3.858995-6 5.369197-1 3.881134-6 1.023554+0 3.890480-6 1.180352+0 3.898400-6 1.256798+0 3.905910-6 1.273706+0 3.915293-6 1.201267+0 3.928885-6 9.561148-1 3.946555-6 5.649291-1 3.954321-6 4.100368-1 3.962208-6 2.782337-1 3.971591-6 1.641151-1 3.980974-6 8.636261-2 3.983939-6 7.034689-2 3.996804-6 1.325330-2 3.999740-6 2.94543-12 4.016479-6 1.94385-11 4.026317-6 3.54935-11 4.036154-6 5.98272-11 4.045992-6 9.30922-11 4.049555-6 1.07783-10 4.057510-6 2.709668-3 4.069490-6 2.631813-2 4.077484-6 4.362377-2 4.087471-6 7.831672-2 4.097458-6 1.299187-1 4.107445-6 1.991387-1 4.129295-6 3.840869-1 4.139263-6 4.566832-1 4.149230-6 5.021185-1 4.159206-6 5.104622-1 4.169165-6 4.798695-1 4.179681-6 4.126301-1 4.199067-6 2.534446-1 4.209035-6 1.850648-1 4.217302-6 1.404606-1 4.227289-6 1.101376-1 4.237276-6 1.042274-1 4.248905-6 1.211895-1 4.257250-6 1.408241-1 4.273001-6 2.066290-1 4.288134-6 2.570279-1 4.298460-6 2.720267-1 4.308786-6 2.694866-1 4.340339-6 2.096918-1 4.353945-6 1.956066-1 4.363954-6 1.932030-1 4.389713-6 2.016298-1 4.425289-6 1.983630-1 4.530290-6 1.768017-1 4.569760-6 1.596909-1 4.596186-6 1.502489-1 4.629949-6 1.495296-1 4.685904-6 1.528239-1 4.759591-6 1.474341-1 5.080050-6 1.143116-1 5.375787-6 9.090887-2 5.679839-6 7.228238-2 5.993800-6 5.732422-2 6.312022-6 4.554890-2 6.668868-6 3.537706-2 7.000981-6 2.808552-2 7.393385-6 2.149194-2 7.737377-6 1.708786-2 8.081649-6 1.366414-2 8.453726-6 1.081918-2 8.848692-6 8.544311-3 9.234339-6 6.908041-3 9.686568-6 5.546408-3 1.012837-5 4.661418-3 1.054484-5 4.135884-3 1.103035-5 3.805805-3 1.161449-5 3.713148-3 1.228430-5 3.904843-3 1.309470-5 4.415926-3 1.440597-5 5.624143-3 1.719663-5 8.766081-3 1.733229-5 9.036235-3 1.740694-5 1.953298+0 1.741761-5 2.228218+0 1.746027-5 4.062494+0 1.750455-5 6.987265+0 1.754763-5 2.084515+1 1.759072-5 3.532192+1 1.763380-5 5.664712+1 1.768227-5 9.048526+1 1.772536-5 1.281160+2 1.782499-5 2.244357+2 1.785192-5 2.468570+2 1.789929-5 2.704433+2 1.793976-5 2.738838+2 1.798244-5 2.582107+2 1.802757-5 2.234738+2 1.815083-5 9.789824+1 1.819391-5 6.258834+1 1.823700-5 3.730221+1 1.828008-5 2.052477+1 1.834471-5 5.224991+0 1.836625-5 1.007242-2 1.948353-5 1.159257-2 1.960124-5 1.179990-2 1.968699-5 9.808747+0 1.969880-5 1.117910+1 1.974612-5 2.009475+1 1.979422-5 3.393358+1 1.985428-5 5.863245+1 1.997904-5 1.195044+2 2.001605-5 1.333536+2 2.004980-5 1.422715+2 2.009351-5 1.460616+2 2.014075-5 1.395501+2 2.019134-5 1.221209+2 2.032800-5 5.682790+1 2.037591-5 3.835633+1 2.042382-5 2.504237+1 2.047147-5 1.662530+1 2.056616-5 7.132668+0 2.062294-5 7.963782+0 2.067260-5 8.205767+0 2.072674-5 7.815107+0 2.077775-5 7.159780+0 2.089221-5 5.024322+0 2.093080-5 4.473383+0 2.097826-5 4.060676+0 2.102927-5 3.973282+0 2.118219-5 4.551348+0 2.125252-5 4.905292+0 2.132034-5 5.007191+0 2.165092-5 4.614411+0 2.170030-5 4.616413+0 2.180190-5 4.477042+0 2.202519-5 4.365184+0 2.219852-5 4.575127+0 2.232765-5 4.984640+0 2.250947-5 5.775368+0 2.272117-5 6.597741+0 2.288691-5 7.740113+0 2.294215-5 7.992437+0 2.299740-5 8.037816+0 2.307683-5 7.703475+0 2.323515-5 6.495241+0 2.328063-5 6.241230+0 2.333745-5 6.070406+0 2.346790-5 6.116207+0 2.363544-5 6.305248+0 2.559487-5 5.176696+0 2.757449-5 4.297160+0 3.004509-5 3.459634+0 3.298863-5 2.722382+0 3.506340-5 2.338641+0 3.574877-5 2.302444+0 3.651981-5 2.097575+0 3.970138-5 1.733842+0 4.332898-5 1.422065+0 4.677351-5 1.212984+0 5.045003-5 1.053378+0 5.449380-5 9.289316-1 6.009983-5 8.139701-1 6.820855-5 7.175933-1 7.948557-5 6.523645-1 9.247251-5 6.195559-1 9.271250-5 1.342568+0 9.316890-5 3.036037+1 9.339710-5 5.455507+1 9.362530-5 9.096050+1 9.385350-5 1.403745+2 9.455236-5 3.241577+2 9.478725-5 3.631828+2 9.501651-5 3.745058+2 9.530992-5 3.496646+2 9.556323-5 3.073675+2 9.594161-5 2.297717+2 9.617538-5 1.965135+2 9.640141-5 1.832202+2 9.664173-5 1.898865+2 9.716155-5 2.343078+2 9.755388-5 2.525845+2 9.780146-5 2.399321+2 9.807759-5 2.044268+2 9.872947-5 9.252328+1 9.895051-5 6.197372+1 9.917991-5 3.862765+1 9.941219-5 2.297924+1 9.987341-5 3.763596+0 1.007959-4 4.242325+0 1.035828-4 6.510929+0 1.057158-4 7.766458+0 1.077554-4 8.398912+0 1.099653-4 8.492888+0 1.132010-4 7.892703+0 1.222587-4 5.346334+0 1.272971-4 4.232029+0 1.325867-4 3.332099+0 1.376996-4 2.691198+0 1.432487-4 2.205496+0 1.482760-4 1.916540+0 1.542908-4 1.710227+0 1.603245-4 1.617019+0 1.686068-4 1.619076+0 1.795477-4 1.767388+0 1.807415-4 1.854656+0 1.816432-4 2.005398+0 1.821234-4 2.131464+0 1.839968-4 2.725595+0 1.849082-4 2.837546+0 1.875506-4 2.864192+0 1.969099-4 3.182285+0 2.039733-4 3.703882+0 2.494211-4 5.126356+0 2.555170-4 5.790200+0 2.979490-4 6.720342+0 3.443905-4 7.343203+0 4.096000-4 7.694366+0 4.965651-4 7.627256+0 7.328246-4 6.476961+0 7.670403-4 6.311351+0 7.708417-4 1.268197+1 7.728634-4 1.853581+1 7.748749-4 2.747486+1 7.769209-4 3.989685+1 7.821244-4 7.802616+1 7.845413-4 9.168217+1 7.864958-4 9.688722+1 7.887232-4 9.645651+1 7.946819-4 8.499206+1 7.985875-4 8.389166+1 8.023754-4 8.349521+1 8.058601-4 7.386106+1 8.106405-4 5.581291+1 8.126338-4 4.850666+1 8.135995-4 4.534881+1 8.155353-4 4.079785+1 8.177429-4 3.760598+1 8.214298-4 3.423432+1 8.454915-4 3.463268+1 9.539663-4 2.964092+1 1.033508-3 2.721573+1 1.043538-3 2.841936+1 1.055850-3 3.054306+1 1.089596-3 2.897958+1 1.114964-3 2.872524+1 1.135376-3 2.952064+1 1.247937-3 2.632798+1 1.296270-3 2.627350+1 1.555864-3 2.103017+1 1.871796-3 1.650817+1 2.169611-3 1.348356+1 2.511887-3 1.094918+1 2.821426-3 9.247499+0 3.246134-3 7.510163+0 3.706007-3 6.144772+0 4.169991-3 5.124062+0 4.806774-3 4.103075+0 5.114382-3 3.731904+0 5.139775-3 3.836647+0 5.157550-3 4.037969+0 5.177654-3 4.509332+0 5.198375-3 5.357335+0 5.237208-3 7.658490+0 5.261751-3 8.964631+0 5.283085-3 9.702324+0 5.311548-3 1.012320+1 5.437502-3 9.963262+0 5.535178-3 9.846005+0 5.577135-3 1.031917+1 5.661186-3 1.225550+1 5.710407-3 1.254647+1 5.884881-3 1.217058+1 6.025596-3 1.321336+1 7.239312-3 1.007373+1 8.327650-3 8.045620+0 9.503655-3 6.493780+0 1.092491-2 5.156005+0 1.241831-2 4.157044+0 1.410303-2 3.345775+0 1.597550-2 2.699359+0 1.763155-2 2.272845+0 1.981957-2 1.850750+0 2.224270-2 1.509041+0 2.490041-2 1.234266+0 2.794821-2 1.003097+0 3.166831-2 8.001140-1 3.583498-2 6.391427-1 3.659022-2 6.235182-1 3.675387-2 6.480956-1 3.686861-2 6.993971-1 3.695677-2 7.732159-1 3.704153-2 8.835144-1 3.714721-2 1.086412+0 3.724325-2 1.336327+0 3.740609-2 1.869361+0 3.764197-2 2.652586+0 3.782562-2 3.068973+0 3.797627-2 3.248239+0 3.829603-2 3.338176+0 4.464822-2 2.614109+0 5.104760-2 2.097589+0 5.849460-2 1.663790+0 6.623549-2 1.341778+0 7.585776-2 1.057165+0 8.619542-2 8.423763-1 9.748302-2 6.745075-1 1.081638-1 5.585868-1 1.193631-1 4.663973-1 1.318243-1 3.885931-1 1.461263-1 3.215837-1 1.639362-1 2.604528-1 1.810045-1 2.172156-1 2.015587-1 1.784590-1 2.226158-1 1.489141-1 2.463016-1 1.241638-1 2.741160-1 1.027027-1 3.054921-1 8.495483-2 3.422748-1 7.002385-2 3.843908-1 5.778660-2 4.307048-1 4.815871-2 4.832587-1 4.031909-2 5.432503-1 3.393251-2 6.219422-1 2.808042-2 7.018593-1 2.396045-2 8.059256-1 2.022543-2 9.360412-1 1.707897-2 1.120601+0 1.411347-2 1.347258+0 1.153651-2 1.619761+0 9.430072-3 1.947381+0 7.708247-3 2.341267+0 6.300807-3 2.814822+0 5.150351-3 3.384160+0 4.209955-3 3.885536+0 3.619161-3 4.671441+0 2.958343-3 5.616308+0 2.418183-3 6.752287+0 1.976650-3 8.118035+0 1.615736-3 9.760024+0 1.320720-3 1.000000+1 2.698186-3 1 56000 7 0 1.373400+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-5.514817+1 1.489734-6-5.267440+1 1.675414-6-4.918887+1 1.756125-6-4.514256+1 1.796318-6-4.074604+1 1.817195-6-3.636168+1 1.829390-6-3.173507+1 1.834194-6-2.839050+1 1.843223-6-2.156688+1 1.848302-6-1.720686+1 1.852817-6-1.381251+1 1.857331-6-1.178487+1 1.858319-6-1.163352+1 1.861281-6-1.200334+1 1.863257-6-1.290202+1 1.865161-6-1.444349+1 1.868406-6-1.849574+1 1.870311-6-2.182311+1 1.874332-6-3.021897+1 1.879549-6-4.390029+1 1.884363-6-5.579279+1 1.889987-6-4.453654+1 1.894158-6-3.952973+1 1.897399-6-3.780857+1 1.901556-6-3.793549+1 1.906710-6-4.122672+1 1.915872-6-5.038650+1 1.921743-6-5.587718+1 1.927284-6-4.934771+1 1.939758-6-3.676509+1 1.943987-6-3.099722+1 1.945765-6-2.743007+1 1.953757-6-1.598548+1 1.959142-6-7.060710+0 1.959441-6-6.437864+0 1.960002-6-5.502206+0 1.963929-6-3.131571-2 1.964228-6 4.982725-1 1.964789-6 1.224962+0 1.965771-6 2.202625+0 1.969314-6 4.792393+0 1.970361-6 5.022816+0 1.971147-6 4.962963+0 1.972325-6 4.586292+0 1.973503-6 3.978913+0 1.974101-6 3.567403+0 1.975148-6 2.483287+0 1.975933-6 1.435179+0 1.976522-6 5.190493-1 1.977406-6-1.078570+0 1.977848-6-1.993925+0 1.978290-6-3.038015+0 1.979486-6-6.003474+0 1.980384-6-8.376626+0 1.981562-6-1.186421+1 1.982698-6-1.583177+1 1.983376-6-1.880702+1 1.986601-6-3.198288+1 1.987938-6-3.891601+1 1.991407-6-5.582251+1 1.994076-6-4.076756+1 1.997345-6-2.438298+1 1.997876-6-2.123261+1 1.998895-6-1.636552+1 2.002224-6-2.418095+0 2.002523-6-1.065194+0 2.003084-6 1.093606+0 2.004065-6 4.411352+0 2.004802-6 6.647580+0 2.007010-6 1.258097+1 2.007609-6 1.403917+1 2.009441-6 1.748338+1 2.011208-6 1.974901+1 2.013892-6 2.142973+1 2.015911-6 2.160384+1 2.020174-6 1.887330+1 2.021371-6 1.737670+1 2.025634-6 1.182100+1 2.026158-6 1.085402+1 2.030945-6 3.549041+0 2.031543-6 2.503970+0 2.032590-6 1.013262+0 2.038125-6-5.857890+0 2.039322-6-7.532216+0 2.040219-6-9.019857+0 2.041262-6-1.111370+1 2.042748-6-1.318049+1 2.045712-6-1.634618+1 2.050137-6-1.993373+1 2.057460-6-2.429442+1 2.069030-6-2.905362+1 2.086061-6-3.364146+1 2.113607-6-3.818675+1 2.160626-6-4.248075+1 2.254267-6-4.651991+1 2.463333-6-4.989847+1 3.271438-6-5.397660+1 3.350989-6-5.542363+1 3.416220-6-4.978337+1 3.537734-6-5.217088+1 3.890480-6-5.338846+1 3.962208-6-5.241177+1 4.169165-6-5.305111+1 1.033968-5-5.587986+1 1.348963-5-5.179800+1 1.498631-5-4.693951+1 1.578090-5-4.176726+1 1.625817-5-3.640469+1 1.654721-5-3.139420+1 1.675092-5-2.638091+1 1.689878-5-2.145724+1 1.699837-5-1.719929+1 1.708184-5-1.277914+1 1.712358-5-1.017900+1 1.716532-5-7.245048+0 1.719663-5-4.778400+0 1.721779-5-2.957720+0 1.724954-5 4.966680-2 1.728128-5 3.464640+0 1.730245-5 6.033216+0 1.732361-5 8.933793+0 1.737495-5 1.718923+1 1.740694-5 2.299388+1 1.744961-5 3.259221+1 1.747964-5 4.114809+1 1.750143-5 4.922870+1 1.751229-5 5.480643+1 1.754763-5 6.676392+1 1.759072-5 8.063208+1 1.764861-5 9.932820+1 1.769170-5 1.080486+2 1.773546-5 1.078898+2 1.775879-5 1.022392+2 1.778617-5 9.063889+1 1.780614-5 7.790962+1 1.783560-5 5.401642+1 1.784753-5 4.191874+1 1.785192-5 3.636567+1 1.787212-5 1.417537+1 1.787717-5 8.435344+0 1.788095-5 3.971406+0 1.788379-5 4.997249-1 1.788805-5-5.002007+0 1.789125-5-9.559103+0 1.789299-5-1.252979+1 1.789688-5-1.818072+1 1.792734-5-5.714527+1 1.793557-5-4.478123+1 1.793976-5-3.824713+1 1.797849-5 1.137135+1 1.797983-5 1.347842+1 1.798244-5 1.699740+1 1.799161-5 2.782707+1 1.802757-5 6.479514+1 1.804926-5 8.124009+1 1.807793-5 9.631140+1 1.810199-5 1.044433+2 1.813022-5 1.088918+2 1.815083-5 1.074236+2 1.818853-5 9.923093+1 1.823700-5 8.099585+1 1.829489-5 5.782423+1 1.835548-5 3.780218+1 1.836625-5 3.284635+1 1.837577-5 2.843875+1 1.839426-5 2.234419+1 1.841765-5 1.624469+1 1.843959-5 1.145496+1 1.846052-5 7.470675+0 1.848014-5 4.130889+0 1.849853-5 1.281279+0 1.851577-5-1.182550+0 1.853193-5-3.335153+0 1.854709-5-5.231844+0 1.857550-5-8.514918+0 1.862212-5-1.327117+1 1.870000-5-1.993480+1 1.882060-5-2.822910+1 1.904137-5-4.028910+1 1.934689-5-5.668106+1 1.936237-5-5.766000+1 1.949658-5-4.726771+1 1.956833-5-3.890011+1 1.959603-5-3.411405+1 1.961734-5-2.926313+1 1.968699-5-1.753325+1 1.971285-5-1.216367+1 1.973780-5-7.478270+0 1.974196-5-6.602035+0 1.974913-5-4.772546+0 1.979422-5 3.362415+0 1.979764-5 4.131350+0 1.980404-5 5.157550+0 1.981525-5 6.487527+0 1.985428-5 9.645891+0 1.985935-5 9.797361+0 1.986886-5 9.727890+0 1.987718-5 9.370090+0 1.988446-5 8.856955+0 1.989719-5 7.537211+0 1.990683-5 6.187692+0 1.991391-5 5.001660+0 1.992466-5 2.862405+0 1.993003-5 1.619492+0 1.993541-5 1.989938-1 1.994971-5-3.863652+0 1.996043-5-7.208290+0 1.996848-5-9.975378+0 1.997904-5-1.403452+1 1.999092-5-1.950952+1 1.999701-5-2.295859+1 2.003020-5-4.012056+1 2.005660-5-5.718440+1 2.006754-5-5.236520+1 2.008780-5-3.909841+1 2.009619-5-3.284709+1 2.013305-5-1.032600+1 2.013635-5-7.928967+0 2.013785-5-6.769193+0 2.014075-5-4.839334+0 2.014619-5-1.569874+0 2.015094-5 1.090363+0 2.019134-5 2.175183+1 2.020775-5 2.825291+1 2.023498-5 3.633858+1 2.026137-5 4.183238+1 2.029520-5 4.584123+1 2.032185-5 4.628084+1 2.036992-5 4.172604+1 2.041858-5 3.348931+1 2.048848-5 2.000389+1 2.054674-5 1.125910+1 2.056130-5 8.687523+0 2.056971-5 6.635275+0 2.057636-5 5.381558+0 2.058801-5 3.598390+0 2.059674-5 2.458592+0 2.060984-5 9.734024-1 2.062294-5-2.649694-1 2.064777-5-2.254927+0 2.066018-5-3.121283+0 2.067260-5-3.855029+0 2.069967-5-5.326684+0 2.072674-5-6.656758+0 2.102927-5-1.927063+1 2.113871-5-2.256687+1 2.125252-5-2.484668+1 2.180190-5-3.133033+1 2.244584-5-3.679471+1 2.284974-5-3.795193+1 2.316287-5-3.634280+1 2.363544-5-3.801365+1 2.757449-5-4.112617+1 4.220000-5-4.560224+1 6.244638-5-5.148658+1 6.960302-5-5.463907+1 7.706100-5-4.889861+1 8.125330-5-4.296242+1 8.376977-5-3.731521+1 8.574985-5-3.077456+1 8.698176-5-2.511605+1 8.790826-5-1.962317+1 8.846096-5-1.561757+1 8.894674-5-1.150556+1 8.937369-5-7.314187+0 8.956736-5-5.197267+0 8.974893-5-3.071545+0 8.991916-5-9.401276-1 9.007874-5 1.192868+0 9.022835-5 3.323630+0 9.036861-5 5.448798+0 9.050010-5 7.564451+0 9.074666-5 1.189644+1 9.096239-5 1.614287+1 9.131632-5 2.426969+1 9.158730-5 3.176286+1 9.187949-5 4.156203+1 9.213893-5 5.240777+1 9.237869-5 6.523536+1 9.257750-5 7.950054+1 9.269563-5 9.105316+1 9.272676-5 9.563133+1 9.316890-5 1.389725+2 9.342562-5 1.680612+2 9.370374-5 1.942792+2 9.392548-5 2.047480+2 9.409792-5 2.004194+2 9.427564-5 1.853587+2 9.441805-5 1.646038+2 9.453810-5 1.377172+2 9.472619-5 8.797383+1 9.476630-5 7.440214+1 9.481315-5 5.848150+1 9.494350-5 1.928197+1 9.497537-5 8.727748+0 9.498494-5 5.232446+0 9.498972-5 3.348549+0 9.499211-5 2.337544+0 9.499656-5 1.828169-1 9.500065-5-1.525782+0 9.500871-5-4.571536+0 9.501651-5-7.321728+0 9.503163-5-1.232924+1 9.507156-5-2.441936+1 9.515574-5-4.741034+1 9.519525-5-5.769788+1 9.525664-5-4.073223+1 9.528471-5-3.244642+1 9.532135-5-2.343715+1 9.536156-5-1.447146+1 9.539440-5-7.611681+0 9.544365-5 2.200239+0 9.548059-5 9.541374+0 9.549969-5 1.382576+1 9.551306-5 1.646150+1 9.553895-5 2.099255+1 9.558599-5 2.806595+1 9.564734-5 3.563232+1 9.571685-5 4.224976+1 9.580586-5 4.786335+1 9.585814-5 4.951597+1 9.591874-5 4.923917+1 9.594161-5 4.794933+1 9.607485-5 4.363444+1 9.613980-5 3.931094+1 9.617538-5 3.494672+1 9.633447-5 2.256284+1 9.636788-5 1.908141+1 9.638641-5 1.612995+1 9.641415-5 1.306472+1 9.643933-5 1.090384+1 9.646135-5 9.254705+0 9.649990-5 6.688172+0 9.655771-5 3.140833+0 9.658662-5 1.248328+0 9.660108-5 1.533180-1 9.660830-5-4.868888-1 9.661553-5-1.334868+0 9.662090-5-1.993163+0 9.663148-5-2.894024+0 9.664173-5-3.586028+0 9.666158-5-4.638076+0 9.668019-5-5.381851+0 9.669764-5-5.914516+0 9.671400-5-6.291027+0 9.674467-5-6.719118+0 9.677167-5-6.829447+0 9.679504-5-6.743448+0 9.681554-5-6.536945+0 9.685149-5-5.892135+0 9.687846-5-5.178811+0 9.689869-5-4.514834+0 9.692903-5-3.303478+0 9.695937-5-1.771171+0 9.700681-5 1.009139+0 9.704239-5 3.344130+0 9.706950-5 5.326392+0 9.708909-5 6.885808+0 9.711912-5 9.536461+0 9.713413-5 1.102630+1 9.716155-5 1.427539+1 9.729386-5 2.812357+1 9.740436-5 4.122901+1 9.748667-5 5.312011+1 9.753894-5 6.283281+1 9.755388-5 6.672651+1 9.783275-5 1.175685+2 9.812518-5 1.572408+2 9.834749-5 1.729527+2 9.857870-5 1.781051+2 9.872947-5 1.745644+2 9.901838-5 1.569412+2 9.946278-5 1.219597+2 9.985365-5 9.491196+1 9.996253-5 8.563929+1 1.002359-4 7.114721+1 1.006256-4 5.687703+1 1.011064-4 4.420127+1 1.016045-4 3.443559+1 1.021600-4 2.609282+1 1.024790-4 2.217508+1 1.030949-4 1.589372+1 1.035828-4 1.182834+1 1.041134-4 8.116977+0 1.046018-4 5.213454+0 1.048937-4 3.679828+0 1.054750-4 9.886550-1 1.057526-4-1.059863-1 1.060518-4-1.280511+0 1.066242-4-3.207896+0 1.071920-4-4.859933+0 1.077554-4-6.286977+0 1.088690-4-8.621312+0 1.099653-4-1.045342+1 1.121153-4-1.319213+1 1.152160-4-1.606670+1 1.203096-4-1.947889+1 1.288119-4-2.347928+1 1.432487-4-2.798340+1 1.643000-4-3.211918+1 1.839968-4-3.520756+1 2.565519-4-3.674653+1 4.096000-4-3.522376+1 5.427375-4-3.617132+1 6.198564-4-3.879380+1 6.772150-4-4.307901+1 7.137203-4-4.855399+1 7.361266-4-5.488231+1 7.505826-4-6.225063+1 7.602607-4-5.723099+1 7.651074-4-5.180442+1 7.670403-4-4.751279+1 7.725315-4-3.401841+1 7.730966-4-3.224816+1 7.751530-4-2.772138+1 7.772522-4-2.598444+1 7.785744-4-2.737643+1 7.800515-4-3.118767+1 7.813692-4-3.668172+1 7.836454-4-5.143785+1 7.864958-4-7.639002+1 7.896308-4-5.795765+1 7.918721-4-4.879533+1 7.940187-4-4.307767+1 7.979235-4-3.680201+1 8.002060-4-3.074518+1 8.021509-4-2.337405+1 8.030056-4-1.947678+1 8.044955-4-1.405442+1 8.058601-4-1.014251+1 8.073944-4-6.607151+0 8.079109-4-5.543948+0 8.083806-4-4.782849+0 8.092024-4-3.783764+0 8.098188-4-3.281164+0 8.102812-4-3.040455+0 8.109746-4-2.956708+0 8.113213-4-3.061627+0 8.131166-4-4.717319+0 8.155353-4-8.437842+0 8.177429-4-1.214917+1 8.209964-4-1.657073+1 8.220227-4-1.842805+1 8.239212-4-2.036357+1 8.275508-4-2.255316+1 8.341612-4-2.452147+1 8.454915-4-2.554942+1 9.084868-4-2.368240+1 9.758408-4-2.170605+1 1.019066-3-2.158112+1 1.036354-3-2.278284+1 1.046158-3-2.333833+1 1.055850-3-2.179396+1 1.066651-3-1.998594+1 1.089596-3-1.903984+1 1.123085-3-1.865960+1 1.142140-3-1.682166+1 1.202914-3-1.461325+1 1.247937-3-1.374615+1 1.271317-3-1.355660+1 1.315033-3-1.177766+1 1.379422-3-1.011045+1 1.475965-3-8.398096+0 1.593470-3-6.990700+0 1.728000-3-5.895832+0 1.871796-3-5.157237+0 2.067983-3-4.609128+0 2.238721-3-4.382381+0 2.511887-3-4.345032+0 2.954662-3-4.486086+0 3.383177-3-4.856685+0 3.873691-3-5.558244+0 4.313402-3-6.503503+0 4.643816-3-7.584001+0 4.867923-3-8.730728+0 5.007380-3-9.862739+0 5.101675-3-1.113682+1 5.157550-3-1.253790+1 5.221146-3-1.476912+1 5.253189-3-1.500523+1 5.292106-3-1.403693+1 5.358010-3-1.203462+1 5.411807-3-1.121694+1 5.491289-3-1.077827+1 5.562968-3-1.113515+1 5.620268-3-1.152880+1 5.661186-3-1.111231+1 5.756685-3-9.303582+0 5.832906-3-8.599597+0 5.964101-3-8.276570+0 6.098276-3-6.540870+0 6.209389-3-5.602658+0 6.350000-3-4.757851+0 6.560430-3-3.829055+0 6.770490-3-3.125038+0 7.053716-3-2.414561+0 7.239312-3-2.043970+0 7.548342-3-1.557718+0 7.865370-3-1.178766+0 8.111410-3-9.448549-1 8.424079-3-7.121245-1 8.694203-3-5.508590-1 8.950865-3-4.285775-1 9.172759-3-3.390838-1 9.344301-3-2.788907-1 9.613702-3-1.989388-1 9.942601-3-1.217741-1 1.005406-2-1.002186-1 1.026242-2-6.317755-2 1.031734-2-5.466623-2 1.052416-2-2.815373-2 1.062629-2-1.701100-2 1.072525-2-7.249050-3 1.080107-2-1.269327-4 1.080811-2 3.992976-4 1.092491-2 9.292656-3 1.099639-2 1.484070-2 1.127684-2 2.941300-2 1.138017-2 3.370099-2 1.157769-2 4.022385-2 1.182196-2 4.390932-2 1.230269-2 4.328326-2 1.253594-2 3.877859-2 1.266193-2 3.571041-2 1.310690-2 2.072087-2 1.335442-2 1.069431-2 1.345401-2 6.228041-3 1.357563-2 5.070445-4 1.362094-2-1.547813-3 1.364338-2-2.730656-3 1.410303-2-2.895315-2 1.453261-2-5.679531-2 1.597550-2-1.602778-1 2.591922-2-9.507141-1 2.905373-2-1.234257+0 3.166831-2-1.536885+0 3.349363-2-1.835338+0 3.472503-2-2.131528+0 3.560982-2-2.453129+0 3.622542-2-2.805330+0 3.659022-2-3.147206+0 3.689920-2-3.633868+0 3.729006-2-4.374993+0 3.747537-2-4.456090+0 3.768589-2-4.202245+0 3.811365-2-3.286707+0 3.839069-2-2.862028+0 3.884857-2-2.426621+0 3.937130-2-2.094946+0 4.014818-2-1.752225+0 4.115330-2-1.435866+0 4.218810-2-1.194732+0 4.336023-2-9.874032-1 4.464822-2-8.155207-1 4.630973-2-6.452354-1 4.827808-2-4.941102-1 4.998778-2-3.910415-1 5.174951-2-3.093305-1 5.325763-2-2.521144-1 5.558074-2-1.848446-1 5.702099-2-1.511797-1 5.849460-2-1.226817-1 5.982676-2-1.018700-1 6.156775-2-7.865273-2 6.434511-2-5.258689-2 6.623549-2-3.895343-2 6.759112-2-3.196952-2 6.918310-2-2.478639-2 7.101366-2-1.814384-2 7.295401-2-1.343704-2 7.469526-2-1.130920-2 7.625291-2-1.071591-2 7.825834-2-1.065032-2 7.997729-2-1.178553-2 8.193605-2-1.367426-2 8.408799-2-1.638448-2 8.874344-2-2.401517-2 9.292359-2-3.293486-2 1.271091-1-1.209174-1 1.461263-1-1.628212-1 1.686974-1-2.028598-1 2.015587-1-2.464037-1 2.463016-1-2.869970-1 3.177102-1-3.261230-1 4.307048-1-3.577651-1 6.479814-1-3.820526-1 1.228714+0-3.968642-1 3.720884+0-4.021985-1 1.000000+1-4.026521-1 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.235045-1 1.034444-6 2.645766-1 1.066770-6 3.091889-1 1.100107-6 3.622892-1 1.132501-6 4.218255-1 1.163883-6 4.880192-1 1.194285-6 5.612816-1 1.223736-6 6.422191-1 1.252267-6 7.313576-1 1.279906-6 8.292187-1 1.306682-6 9.363422-1 1.332621-6 1.053286+0 1.357749-6 1.180626+0 1.382092-6 1.318982+0 1.405675-6 1.469936+0 1.440000-6 1.722107+0 1.472091-6 1.995228+0 1.492861-6 2.196588+0 1.512982-6 2.413867+0 1.551357-6 2.896311+0 1.587371-6 3.447514+0 1.621169-6 4.073902+0 1.637280-6 4.418204+0 1.652888-6 4.786521+0 1.683128-6 5.602182+0 1.711478-6 6.513108+0 1.738056-6 7.530996+0 1.762973-6 8.663973+0 1.786333-6 9.920174+0 1.808232-6 1.130774+1 1.828763-6 1.283514+1 1.848011-6 1.451122+1 1.866056-6 1.634477+1 1.882973-6 1.834449+1 1.898832-6 2.051901+1 1.913701-6 2.287691+1 1.927640-6 2.542665+1 1.940708-6 2.817653+1 1.952959-6 3.113468+1 1.964445-6 3.430900+1 1.975212-6 3.770715+1 1.985307-6 4.133655+1 1.994771-6 4.520443+1 2.003643-6 4.931801+1 2.011961-6 5.368462+1 2.019759-6 5.831145+1 2.027069-6 6.320488+1 2.033923-6 6.837026+1 2.040348-6 7.381231+1 2.048000-6 8.120054+1 2.057313-6 9.185357+1 2.062277-6 9.846184+1 2.066930-6 1.053814+2 2.071292-6 1.126230+2 2.079471-6 1.286923+2 2.086628-6 1.463696+2 2.092891-6 1.658529+2 2.098370-6 1.872933+2 2.103165-6 2.107006+2 2.107360-6 2.358886+2 2.111031-6 2.624822+2 2.114243-6 2.899742+2 2.117054-6 3.178010+2 2.119513-6 3.454130+2 2.123547-6 3.981439+2 2.129314-6 4.916913+2 2.138289-6 6.848830+2 2.141986-6 7.813234+2 2.145931-6 8.935338+2 2.147246-6 9.327133+2 2.152505-6 1.095226+3 2.153162-6 1.115897+3 2.157764-6 1.259649+3 2.159572-6 1.314511+3 2.163024-6 1.414001+3 2.164831-6 1.462301+3 2.166557-6 1.505281+3 2.168283-6 1.544723+3 2.170584-6 1.591015+3 2.172803-6 1.627975+3 2.174857-6 1.654764+3 2.176583-6 1.671334+3 2.178801-6 1.684241+3 2.181760-6 1.686150+3 2.184225-6 1.674105+3 2.185141-6 1.666478+3 2.187230-6 1.642770+3 2.189564-6 1.606247+3 2.192048-6 1.556382+3 2.194545-6 1.495813+3 2.196777-6 1.433830+3 2.197830-6 1.402334+3 2.200321-6 1.322786+3 2.202098-6 1.262499+3 2.203410-6 1.216459+3 2.205427-6 1.143865+3 2.207526-6 1.066720+3 2.209826-6 9.815179+2 2.211672-6 9.134654+2 2.213952-6 8.307320+2 2.215616-6 7.718620+2 2.218246-6 6.824094+2 2.220876-6 5.984503+2 2.222437-6 5.516436+2 2.225210-6 4.747712+2 2.232474-6 3.161921+2 2.233519-6 2.988247+2 2.235086-6 2.754289+2 2.236654-6 2.552448+2 2.237886-6 2.416418+2 2.239215-6 2.292266+2 2.240332-6 2.206132+2 2.241549-6 2.131167+2 2.242582-6 2.083123+2 2.243548-6 2.051236+2 2.244624-6 2.030641+2 2.245668-6 2.025765+2 2.246177-6 2.028837+2 2.247181-6 2.045424+2 2.248153-6 2.074944+2 2.249095-6 2.116315+2 2.250920-6 2.232875+2 2.254342-6 2.585510+2 2.257335-6 3.045957+2 2.259955-6 3.574055+2 2.262247-6 4.139225+2 2.268887-6 6.385325+2 2.272120-6 7.848040+2 2.274821-6 9.276870+2 2.277804-6 1.109006+3 2.280335-6 1.283080+3 2.282118-6 1.417214+3 2.283900-6 1.561039+3 2.286704-6 1.806972+3 2.289508-6 2.076706+3 2.295466-6 2.723676+3 2.296124-6 2.800560+3 2.301074-6 3.407619+3 2.302881-6 3.638687+3 2.306331-6 4.087066+3 2.309179-6 4.458048+3 2.311939-6 4.811738+3 2.313638-6 5.023731+3 2.316065-6 5.315624+3 2.318601-6 5.602256+3 2.320922-6 5.844070+3 2.323505-6 6.085449+3 2.326791-6 6.343531+3 2.329357-6 6.502158+3 2.332346-6 6.635200+3 2.334775-6 6.700174+3 2.340153-6 6.702678+3 2.341686-6 6.668039+3 2.345831-6 6.499836+3 2.347977-6 6.372677+3 2.350366-6 6.202181+3 2.351901-6 6.077871+3 2.354558-6 5.838728+3 2.357257-6 5.569235+3 2.359511-6 5.327669+3 2.362409-6 5.000726+3 2.365213-6 4.672933+3 2.368016-6 4.339927+3 2.371171-6 3.965923+3 2.373624-6 3.679796+3 2.379760-6 3.001235+3 2.380751-6 2.898265+3 2.387687-6 2.241208+3 2.392581-6 1.850242+3 2.404812-6 1.131368+3 2.407666-6 1.010485+3 2.410520-6 9.044452+2 2.413374-6 8.117472+2 2.416229-6 7.309149+2 2.419083-6 6.605326+2 2.421937-6 5.992721+2 2.424791-6 5.459115+2 2.427645-6 4.993453+2 2.433354-6 4.227777+2 2.436780-6 3.852747+2 2.442775-6 3.310282+2 2.447272-6 2.976355+2 2.460761-6 2.223721+2 2.466818-6 1.972529+2 2.472875-6 1.763546+2 2.478932-6 1.593606+2 2.484989-6 1.461206+2 2.488017-6 1.408719+2 2.491046-6 1.365101+2 2.492560-6 1.346528+2 2.494831-6 1.322578+2 2.497103-6 1.303146+2 2.500131-6 1.283854+2 2.503159-6 1.271501+2 2.506188-6 1.265287+2 2.509216-6 1.264294+2 2.515273-6 1.273835+2 2.528901-6 1.310972+2 2.534958-6 1.315793+2 2.539501-6 1.309576+2 2.542529-6 1.300072+2 2.545557-6 1.286151+2 2.548586-6 1.267901+2 2.551614-6 1.245572+2 2.554643-6 1.219555+2 2.559238-6 1.174205+2 2.563728-6 1.124907+2 2.571836-6 1.030792+2 2.581899-6 9.218757+1 2.587584-6 8.714316+1 2.590734-6 8.481442+1 2.593883-6 8.284642+1 2.597033-6 8.124710+1 2.600183-6 8.001235+1 2.603332-6 7.912664+1 2.608057-6 7.839317+1 2.609632-6 7.828933+1 2.615931-6 7.842790+1 2.630104-6 8.021844+1 2.634828-6 8.067061+1 2.641128-6 8.079664+1 2.644277-6 8.060273+1 2.647427-6 8.022084+1 2.650577-6 7.964796+1 2.653726-6 7.888795+1 2.660025-6 7.685065+1 2.666325-6 7.423934+1 2.672624-6 7.122609+1 2.678923-6 6.799107+1 2.694960-6 5.978215+1 2.707451-6 5.419802+1 2.714099-6 5.164632+1 2.720746-6 4.940325+1 2.727394-6 4.746679+1 2.734042-6 4.582743+1 2.740689-6 4.446816+1 2.747337-6 4.336274+1 2.753985-6 4.247415+1 2.760632-6 4.175501+1 2.787223-6 3.948239+1 2.793871-6 3.883839+1 2.800518-6 3.811795+1 2.807166-6 3.732408+1 2.820461-6 3.557932+1 2.845371-6 3.225168+1 2.867873-6 2.965357+1 2.888968-6 2.762259+1 2.908746-6 2.598687+1 2.945828-6 2.338890+1 2.978275-6 2.147688+1 3.006666-6 2.002787+1 3.056350-6 1.785823+1 3.093613-6 1.647088+1 3.149508-6 1.468996+1 3.260631-6 1.185889+1 3.363197-6 9.807162+0 3.421217-6 8.773958+0 3.462990-6 8.055453+0 3.496266-6 7.484679+0 3.521283-6 7.048824+0 3.546299-6 6.600029+0 3.554638-6 6.446290+0 3.591276-6 5.734503+0 3.609595-6 5.346171+0 3.627914-6 4.924187+0 3.636843-6 4.702398+0 3.645773-6 4.467631+0 3.654702-6 4.218044+0 3.663632-6 3.952190+0 3.673306-6 3.645455+0 3.680001-6 3.422931+0 3.685695-6 3.228866+0 3.691389-6 3.032779+0 3.700430-6 2.726173+0 3.705777-6 2.554897+0 3.718513-6 2.220177+0 3.721266-6 2.169527+0 3.724020-6 2.129636+0 3.730861-6 2.087551+0 3.733141-6 2.095024+0 3.737702-6 2.148551+0 3.739982-6 2.196816+0 3.742262-6 2.260920+0 3.744213-6 2.329178+0 3.746586-6 2.430020+0 3.748766-6 2.540904+0 3.750847-6 2.663961+0 3.752929-6 2.804668+0 3.754388-6 2.914299+0 3.756942-6 3.128776+0 3.762689-6 3.722642+0 3.767414-6 4.333432+0 3.777786-6 6.084739+0 3.783691-6 7.335101+0 3.788371-6 8.450451+0 3.792265-6 9.455248+0 3.796461-6 1.060786+1 3.800436-6 1.175653+1 3.804687-6 1.303278+1 3.808168-6 1.410400+1 3.810708-6 1.489452+1 3.815318-6 1.633400+1 3.819496-6 1.762583+1 3.824827-6 1.922478+1 3.829149-6 2.045512+1 3.838370-6 2.278302+1 3.840027-6 2.314805+1 3.847591-6 2.456758+1 3.850760-6 2.503185+1 3.856811-6 2.568849+1 3.861245-6 2.597342+1 3.865988-6 2.609479+1 3.869862-6 2.605680+1 3.874947-6 2.582929+1 3.878216-6 2.558348+1 3.882979-6 2.509859+1 3.884474-6 2.491803+1 3.891414-6 2.392620+1 3.893727-6 2.354709+1 3.903218-6 2.180899+1 3.912136-6 2.001886+1 3.915731-6 1.928393+1 3.928622-6 1.671992+1 3.941180-6 1.449329+1 3.948033-6 1.343964+1 3.957631-6 1.217845+1 3.967301-6 1.116332+1 3.972136-6 1.074838+1 3.976971-6 1.039167+1 3.981620-6 1.010043+1 3.988594-6 9.751034+0 3.995568-6 9.494951+0 4.001590-6 9.337981+0 4.007613-6 9.230299+0 4.012358-6 9.173647+0 4.017103-6 9.136503+0 4.026594-6 9.101542+0 4.049307-6 9.051778+0 4.060503-6 8.962860+0 4.067086-6 8.877372+0 4.073669-6 8.765784+0 4.083339-6 8.556615+0 4.093009-6 8.300852+0 4.102678-6 8.010070+0 4.115979-6 7.577114+0 4.148610-6 6.536385+0 4.158771-6 6.259590+0 4.168932-6 6.017382+0 4.179094-6 5.812994+0 4.186243-6 5.692122+0 4.193392-6 5.589228+0 4.201554-6 5.491329+0 4.209716-6 5.410247+0 4.240498-6 5.152890+0 4.252383-6 5.026420+0 4.264202-6 4.869192+0 4.275599-6 4.692609+0 4.296415-6 4.370124+0 4.301029-6 4.312897+0 4.311190-6 4.225505+0 4.314038-6 4.212950+0 4.322583-6 4.213305+0 4.325148-6 4.225526+0 4.332844-6 4.298202+0 4.338517-6 4.387060+0 4.343150-6 4.481473+0 4.346625-6 4.564591+0 4.354444-6 4.786606+0 4.366970-6 5.220513+0 4.374197-6 5.495907+0 4.384730-6 5.899513+0 4.387363-6 5.997014+0 4.397028-6 6.330052+0 4.404750-6 6.557599+0 4.409384-6 6.673971+0 4.414617-6 6.785598+0 4.418542-6 6.855076+0 4.424429-6 6.936305+0 4.430317-6 6.990615+0 4.440404-6 7.025754+0 4.448840-6 7.006125+0 4.461385-6 6.911709+0 4.472839-6 6.774969+0 4.486301-6 6.571688+0 4.500347-6 6.325446+0 4.511263-6 6.117168+0 4.529307-6 5.755572+0 4.554926-6 5.260410+0 4.568997-6 5.031594+0 4.583064-6 4.852676+0 4.589674-6 4.788183+0 4.599589-6 4.715248+0 4.610047-6 4.667162+0 4.622320-6 4.641691+0 4.648556-6 4.644909+0 4.667993-6 4.643019+0 4.688494-6 4.612019+0 4.704318-6 4.582539+0 4.715757-6 4.573559+0 4.729166-6 4.591178+0 4.734639-6 4.609697+0 4.744216-6 4.659486+0 4.751399-6 4.711033+0 4.767561-6 4.863040+0 4.784392-6 5.045062+0 4.796111-6 5.160611+0 4.803109-6 5.217100+0 4.814256-6 5.278982+0 4.821514-6 5.297274+0 4.832401-6 5.289277+0 4.843288-6 5.239435+0 4.855652-6 5.138513+0 4.865258-6 5.035249+0 4.878140-6 4.876483+0 4.895706-6 4.652577+0 4.910225-6 4.486021+0 4.919039-6 4.400184+0 4.932260-6 4.297822+0 4.945917-6 4.226857+0 4.969412-6 4.180421+0 4.974665-6 4.181064+0 5.006403-6 4.240858+0 5.028476-6 4.305629+0 5.050826-6 4.353285+0 5.067494-6 4.361204+0 5.080438-6 4.347405+0 5.093716-6 4.316253+0 5.114786-6 4.242016+0 5.135787-6 4.159227+0 5.156247-6 4.091831+0 5.169737-6 4.060330+0 5.183159-6 4.039342+0 5.231216-6 4.003280+0 5.254685-6 3.974996+0 5.281033-6 3.922799+0 5.340928-6 3.774379+0 5.367234-6 3.723239+0 5.401309-6 3.678991+0 5.483577-6 3.609575+0 5.537840-6 3.542135+0 5.594832-6 3.463965+0 5.653323-6 3.400696+0 5.765030-6 3.310875+0 6.309573-6 2.895811+0 6.540881-6 2.758316+0 6.918310-6 2.578259+0 7.662579-6 2.348676+0 8.192000-6 2.249499+0 8.738215-6 2.192345+0 9.943052-6 2.112053+0 1.064878-5 2.059219+0 1.139205-5 2.003796+0 1.153267-5 1.997505+0 1.165264-5 2.000507+0 1.170518-5 2.009205+0 1.181812-5 2.049119+0 1.191243-5 2.101111+0 1.207279-5 2.215604+0 1.223976-5 2.366329+0 1.240000-5 2.546734+0 1.257072-5 2.780638+0 1.274036-5 3.058220+0 1.289304-5 3.353521+0 1.307657-5 3.769482+0 1.320000-5 4.089366+0 1.341680-5 4.738616+0 1.365000-5 5.576448+0 1.389113-5 6.619619+0 1.412759-5 7.846249+0 1.436345-5 9.308079+0 1.458990-5 1.097605+1 1.494445-5 1.420894+1 1.530865-5 1.855923+1 1.549227-5 2.125448+1 1.567223-5 2.431052+1 1.589736-5 2.879533+1 1.609728-5 3.352064+1 1.629490-5 3.904205+1 1.649252-5 4.559989+1 1.669014-5 5.343657+1 1.688051-5 6.248605+1 1.704194-5 7.160474+1 1.720337-5 8.237462+1 1.734889-5 9.381834+1 1.750607-5 1.084411+2 1.761321-5 1.200535+2 1.773311-5 1.349972+2 1.784552-5 1.512572+2 1.795090-5 1.688876+2 1.804970-5 1.879357+2 1.815460-5 2.113880+2 1.822916-5 2.304864+2 1.831056-5 2.541044+2 1.838688-5 2.793505+2 1.845843-5 3.062603+2 1.853909-5 3.411075+2 1.858839-5 3.651961+2 1.864734-5 3.972814+2 1.870261-5 4.311403+2 1.875443-5 4.667806+2 1.880300-5 5.041981+2 1.884854-5 5.433792+2 1.890890-5 6.025732+2 1.896879-5 6.712920+2 1.903915-5 7.683144+2 1.910071-5 8.722481+2 1.915458-5 9.827635+2 1.920171-5 1.099345+3 1.924296-5 1.221204+3 1.927904-5 1.347240+3 1.931062-5 1.476071+3 1.933825-5 1.606116+3 1.936242-5 1.735707+3 1.940473-5 2.005872+3 1.943646-5 2.253056+3 1.946026-5 2.469048+3 1.947811-5 2.650963+3 1.950488-5 2.960404+3 1.953165-5 3.319993+3 1.957973-5 4.116263+3 1.962780-5 5.147665+3 1.972395-5 8.114299+3 1.977506-5 1.027188+4 1.979193-5 1.107941+4 1.986898-5 1.534421+4 1.991764-5 1.845429+4 1.993437-5 1.957536+4 1.997239-5 2.217551+4 2.000000-5 2.406942+4 2.002106-5 2.549037+4 2.004244-5 2.689195+4 2.006646-5 2.839092+4 2.008652-5 2.956203+4 2.011230-5 3.093114+4 2.013359-5 3.192358+4 2.015904-5 3.292016+4 2.019253-5 3.387589+4 2.021751-5 3.430140+4 2.024704-5 3.446896+4 2.026323-5 3.440376+4 2.030849-5 3.363852+4 2.032179-5 3.325630+4 2.035791-5 3.188859+4 2.037926-5 3.087470+4 2.039408-5 3.009245+4 2.041929-5 2.863388+4 2.043858-5 2.742581+4 2.046026-5 2.599569+4 2.047836-5 2.475679+4 2.050163-5 2.312587+4 2.052596-5 2.140041+4 2.055029-5 1.968105+4 2.057767-5 1.778425+4 2.059896-5 1.635477+4 2.064762-5 1.330138+4 2.066435-5 1.233404+4 2.069629-5 1.061820+4 2.073279-5 8.876670+3 2.077365-5 7.205287+3 2.081442-5 5.817576+3 2.091107-5 3.481689+3 2.094765-5 2.878476+3 2.098338-5 2.402406+3 2.101799-5 2.028565+3 2.105151-5 1.732997+3 2.108399-5 1.497165+3 2.111546-5 1.306935+3 2.114594-5 1.151634+3 2.117547-5 1.023253+3 2.120407-5 9.157961+2 2.123920-5 8.023056+2 2.128548-5 6.772603+2 2.138300-5 4.776212+2 2.142725-5 4.072402+2 2.146872-5 3.497057+2 2.154649-5 2.595995+2 2.168258-5 1.462868+2 2.173362-5 1.172765+2 2.178337-5 9.708511+1 2.181735-5 8.878162+1 2.185047-5 8.592331+1 2.186549-5 8.662264+1 2.187958-5 8.856280+1 2.190000-5 9.382989+1 2.191677-5 1.005817+2 2.192765-5 1.062625+2 2.193785-5 1.125972+2 2.194741-5 1.194843+2 2.195624-5 1.267068+2 2.197034-5 1.401042+2 2.198141-5 1.523298+2 2.199466-5 1.691351+2 2.201195-5 1.949119+2 2.203800-5 2.430334+2 2.209086-5 3.822762+2 2.211465-5 4.669006+2 2.212994-5 5.297164+2 2.215883-5 6.683729+2 2.217667-5 7.683242+2 2.219961-5 9.144600+2 2.222316-5 1.086797+3 2.224467-5 1.265383+3 2.225960-5 1.401878+3 2.227179-5 1.521280+3 2.230836-5 1.923955+3 2.232803-5 2.169005+3 2.234771-5 2.434236+3 2.240244-5 3.276578+3 2.241228-5 3.443511+3 2.246060-5 4.324312+3 2.247824-5 4.667486+3 2.251515-5 5.412485+3 2.253317-5 5.784914+3 2.256032-5 6.349760+3 2.258443-5 6.848215+3 2.260962-5 7.357837+3 2.263061-5 7.767870+3 2.265692-5 8.255380+3 2.267784-5 8.615833+3 2.271098-5 9.126292+3 2.273700-5 9.465724+3 2.276173-5 9.731681+3 2.278814-5 9.949325+3 2.284240-5 1.016687+4 2.286048-5 1.016903+4 2.287198-5 1.015224+4 2.290934-5 1.000290+4 2.293450-5 9.824818+3 2.295650-5 9.622186+3 2.298274-5 9.328627+3 2.299849-5 9.128282+3 2.302509-5 8.754255+3 2.305073-5 8.358174+3 2.308665-5 7.760277+3 2.311402-5 7.282716+3 2.314481-5 6.735084+3 2.316876-5 6.308794+3 2.322349-5 5.360629+3 2.324316-5 5.035722+3 2.328806-5 4.338108+3 2.334278-5 3.585635+3 2.344458-5 2.496365+3 2.349768-5 2.079993+3 2.352955-5 1.873677+3 2.355106-5 1.750852+3 2.358333-5 1.588966+3 2.361559-5 1.450890+3 2.363408-5 1.381249+3 2.365334-5 1.315242+3 2.367260-5 1.255305+3 2.372960-5 1.108002+3 2.378660-5 9.959333+2 2.392494-5 8.153957+2 2.398001-5 7.659690+2 2.401462-5 7.392370+2 2.406161-5 7.072573+2 2.410859-5 6.793648+2 2.416693-5 6.491987+2 2.422526-5 6.227164+2 2.451694-5 5.137354+2 2.465350-5 4.691453+2 2.477964-5 4.337139+2 2.486933-5 4.123939+2 2.493006-5 3.995925+2 2.506614-5 3.744867+2 2.552114-5 3.073473+2 2.587030-5 2.652392+2 2.602627-5 2.492592+2 2.612211-5 2.409784+2 2.619050-5 2.360099+2 2.629712-5 2.300184+2 2.637666-5 2.269553+2 2.643913-5 2.253348+2 2.651257-5 2.242151+2 2.662689-5 2.238808+2 2.672061-5 2.245927+2 2.699190-5 2.282587+2 2.710565-5 2.285484+2 2.719680-5 2.276483+2 2.733298-5 2.246327+2 2.763835-5 2.158860+2 2.789093-5 2.105895+2 2.819320-5 2.057034+2 2.883490-5 1.965829+2 2.951209-5 1.872206+2 3.067470-5 1.739884+2 3.193520-5 1.621027+2 3.290112-5 1.542949+2 3.784556-5 1.234486+2 3.928263-5 1.159204+2 4.015023-5 1.114137+2 4.063954-5 1.100594+2 4.093312-5 1.094402+2 4.132994-5 1.079689+2 4.232980-5 1.030841+2 4.460659-5 9.418084+1 4.580760-5 8.976576+1 4.765682-5 8.305228+1 4.879226-5 7.908253+1 5.019090-5 7.431506+1 5.150000-5 6.996784+1 5.300297-5 6.509827+1 5.423820-5 6.112258+1 5.578923-5 5.621210+1 5.721327-5 5.176313+1 5.871512-5 4.709237+1 6.022991-5 4.240385+1 6.239516-5 3.574620+1 6.400000-5 3.087763+1 6.536387-5 2.678948+1 6.658180-5 2.319992+1 6.801976-5 1.907714+1 6.946417-5 1.508604+1 7.038988-5 1.263793+1 7.128690-5 1.037571+1 7.216606-5 8.307017+0 7.299508-5 6.837780+0 7.337856-5 6.607179+0 7.340389-5 6.605962+0 7.413887-5 7.289642+0 7.464315-5 8.332068+0 7.542234-5 1.038338+1 7.614971-5 1.266769+1 7.686813-5 1.531197+1 7.771553-5 1.900024+1 7.856825-5 2.343195+1 7.990330-5 3.215451+1 8.246127-5 5.748859+1 8.421332-5 8.469847+1 8.558580-5 1.148369+2 8.647414-5 1.401230+2 8.709636-5 1.612978+2 8.810489-5 2.033374+2 8.874896-5 2.364183+2 8.963438-5 2.922615+2 9.023975-5 3.392466+2 9.080729-5 3.915003+2 9.133936-5 4.493200+2 9.192627-5 5.253665+2 9.230581-5 5.829366+2 9.274422-5 6.594833+2 9.315522-5 7.430118+2 9.354054-5 8.338434+2 9.390924-5 9.344684+2 9.425000-5 1.041848+3 9.455794-5 1.153162+3 9.485559-5 1.276177+3 9.513464-5 1.407935+3 9.539624-5 1.548688+3 9.564150-5 1.698679+3 9.587143-5 1.858136+3 9.608699-5 2.027286+3 9.628907-5 2.206359+3 9.647853-5 2.395601+3 9.665614-5 2.595291+3 9.682266-5 2.805751+3 9.697876-5 3.027343+3 9.712511-5 3.260459+3 9.740000-5 3.781999+3 9.763962-5 4.354795+3 9.784971-5 4.981573+3 9.803354-5 5.656900+3 9.819440-5 6.372167+3 9.833514-5 7.115454+3 9.845829-5 7.873032+3 9.856605-5 8.630933+3 9.866034-5 9.376228+3 9.882534-5 1.089022+4 9.904191-5 1.334813+4 9.958758-5 2.250844+4 9.971067-5 2.524233+4 9.980928-5 2.761509+4 1.000000-4 3.264538+4 1.001496-4 3.695999+4 1.003949-4 4.456769+4 1.004256-4 4.555062+4 1.006402-4 5.249573+4 1.007245-4 5.520438+4 1.008855-4 6.022281+4 1.009624-4 6.250726+4 1.010322-4 6.449382+4 1.011466-4 6.753595+4 1.012752-4 7.056242+4 1.013825-4 7.271696+4 1.014947-4 7.455632+4 1.016088-4 7.595708+4 1.017571-4 7.701949+4 1.018744-4 7.723330+4 1.019171-4 7.717344+4 1.020389-4 7.660600+4 1.021581-4 7.550476+4 1.022693-4 7.402838+4 1.023954-4 7.189245+4 1.025102-4 6.958687+4 1.026750-4 6.582905+4 1.028076-4 6.256891+4 1.030218-4 5.720510+4 1.033278-4 5.023575+4 1.034863-4 4.730311+4 1.036063-4 4.548878+4 1.037012-4 4.432243+4 1.038131-4 4.325859+4 1.039170-4 4.257114+4 1.039711-4 4.232370+4 1.041057-4 4.201573+4 1.042202-4 4.206537+4 1.043606-4 4.244843+4 1.045421-4 4.332055+4 1.049279-4 4.560139+4 1.051878-4 4.663611+4 1.052690-4 4.677970+4 1.054459-4 4.672292+4 1.055582-4 4.640284+4 1.056923-4 4.572300+4 1.058237-4 4.474833+4 1.059128-4 4.392214+4 1.060298-4 4.265168+4 1.061426-4 4.124754+4 1.063062-4 3.895113+4 1.064323-4 3.702036+4 1.064953-4 3.601612+4 1.066370-4 3.369367+4 1.066843-4 3.290738+4 1.069363-4 2.870984+4 1.070679-4 2.657303+4 1.073190-4 2.272198+4 1.075878-4 1.905361+4 1.079607-4 1.487301+4 1.082018-4 1.272673+4 1.084030-4 1.123611+4 1.086043-4 9.986018+3 1.087344-4 9.289627+3 1.090007-4 8.094968+3 1.092671-4 7.151241+3 1.095334-4 6.398189+3 1.097368-4 5.921621+3 1.098911-4 5.605710+3 1.101115-4 5.209983+3 1.103394-4 4.856783+3 1.106508-4 4.446428+3 1.109175-4 4.146774+3 1.112489-4 3.825508+3 1.115532-4 3.569872+3 1.120697-4 3.201800+3 1.125503-4 2.917508+3 1.129685-4 2.706966+3 1.133391-4 2.544661+3 1.138589-4 2.349001+3 1.144304-4 2.167584+3 1.151510-4 1.974574+3 1.159836-4 1.786903+3 1.167249-4 1.645946+3 1.171974-4 1.567716+3 1.179279-4 1.462581+3 1.183878-4 1.405078+3 1.188471-4 1.353484+3 1.197500-4 1.266583+3 1.205000-4 1.206440+3 1.215125-4 1.138808+3 1.225000-4 1.084639+3 1.235000-4 1.038740+3 1.247713-4 9.897822+2 1.265000-4 9.343018+2 1.290036-4 8.671394+2 1.310720-4 8.192375+2 1.334104-4 7.714932+2 1.355957-4 7.316067+2 1.396368-4 6.683597+2 1.445440-4 6.053120+2 1.500059-4 5.483530+2 1.570000-4 4.899213+2 1.633334-4 4.473248+2 1.720000-4 4.009621+2 1.865000-4 3.422115+2 1.909432-4 3.261173+2 1.926930-4 3.195136+2 1.950413-4 3.097386+2 1.983505-4 2.935456+2 1.994026-4 2.899304+2 2.023585-4 2.834938+2 2.052919-4 2.742634+2 2.061912-4 2.722741+2 2.068186-4 2.715129+2 2.074399-4 2.713104+2 2.080995-4 2.716584+2 2.094246-4 2.736526+2 2.129510-4 2.804253+2 2.156163-4 2.833449+2 2.196167-4 2.850340+2 2.239998-4 2.850232+2 2.254918-4 2.859605+2 2.318272-4 2.933177+2 2.457600-4 3.031697+2 2.594927-4 3.102665+2 2.777821-4 3.160012+2 2.790156-4 3.168571+2 2.814870-4 3.198108+2 2.893739-4 3.321561+2 3.043950-4 3.481507+2 3.174817-4 3.598588+2 3.311311-4 3.710360+2 3.499955-4 3.851447+2 3.666159-4 3.964050+2 3.840000-4 4.070348+2 4.012085-4 4.163607+2 4.265795-4 4.268423+2 4.567280-4 4.359504+2 4.888605-4 4.419008+2 5.295555-4 4.427772+2 5.682094-4 4.366767+2 6.025596-4 4.249771+2 6.327287-4 4.095875+2 6.568040-4 3.931591+2 6.822573-4 3.715013+2 7.027436-4 3.501039+2 7.202778-4 3.279504+2 7.360104-4 3.053335+2 7.501745-4 2.822518+2 7.615513-4 2.616171+2 7.685532-4 2.477573+2 7.786617-4 2.259164+2 7.868009-4 2.066085+2 7.941306-4 1.878010+2 7.986595-4 1.758854+2 8.026223-4 1.676911+2 8.049762-4 1.672573+2 8.095571-4 2.007616+2 8.147582-4 4.135413+2 8.154488-4 4.698780+2 8.177805-4 7.346737+2 8.194630-4 1.011206+3 8.215311-4 1.464644+3 8.235532-4 2.032430+3 8.255752-4 2.708655+3 8.273300-4 3.356130+3 8.291896-4 4.063101+3 8.306980-4 4.618679+3 8.313985-4 4.862828+3 8.328101-4 5.314673+3 8.336901-4 5.562721+3 8.349625-4 5.867370+3 8.356857-4 6.009688+3 8.371102-4 6.221616+3 8.377078-4 6.283482+3 8.404853-4 6.375701+3 8.416949-4 6.328381+3 8.426476-4 6.261140+3 8.441280-4 6.114160+3 8.455944-4 5.928972+3 8.472800-4 5.680447+3 8.487939-4 5.432414+3 8.504750-4 5.133828+3 8.517047-4 4.900833+3 8.528939-4 4.663936+3 8.539498-4 4.444286+3 8.553074-4 4.150013+3 8.564854-4 3.885561+3 8.576780-4 3.611785+3 8.584248-4 3.438697+3 8.595583-4 3.175943+3 8.607873-4 2.894695+3 8.621521-4 2.592305+3 8.636625-4 2.276919+3 8.658000-4 1.878048+3 8.680000-4 1.537822+3 8.693950-4 1.361701+3 8.697506-4 1.321689+3 8.709349-4 1.202339+3 8.714300-4 1.158562+3 8.720463-4 1.108863+3 8.734932-4 1.011746+3 8.741113-4 9.779462+2 8.766074-4 8.808088+2 8.778028-4 8.526449+2 8.794884-4 8.279904+2 8.813119-4 8.160712+2 8.828191-4 8.142512+2 8.856555-4 8.226192+2 8.874462-4 8.321890+2 8.967461-4 8.904534+2 8.998089-4 9.079350+2 9.055162-4 9.372975+2 9.106748-4 9.605218+2 9.168657-4 9.845697+2 9.242374-4 1.008452+3 9.330233-4 1.031806+3 9.421796-4 1.051998+3 9.520180-4 1.070122+3 9.650088-4 1.090024+3 9.764437-4 1.104811+3 9.930832-4 1.122273+3 1.005981-3 1.132301+3 1.026377-3 1.144270+3 1.046354-3 1.151259+3 1.062124-3 1.151895+3 1.090284-3 1.145064+3 1.096752-3 1.150748+3 1.102213-3 1.161534+3 1.120306-3 1.214672+3 1.151635-3 1.280604+3 1.160838-3 1.297308+3 1.179673-3 1.326238+3 1.205278-3 1.374967+3 1.232165-3 1.417959+3 1.244094-3 1.435059+3 1.259172-3 1.451454+3 1.277477-3 1.465256+3 1.296384-3 1.474374+3 1.335707-3 1.483005+3 1.345520-3 1.490947+3 1.359796-3 1.511195+3 1.373226-3 1.532502+3 1.383280-3 1.545543+3 1.398379-3 1.559664+3 1.421758-3 1.574622+3 1.445067-3 1.585765+3 1.480574-3 1.598366+3 1.562306-3 1.615409+3 1.649482-3 1.622815+3 1.738369-3 1.621151+3 1.895647-3 1.604463+3 2.003895-3 1.587433+3 2.193398-3 1.546782+3 2.350000-3 1.511937+3 2.463556-3 1.483886+3 2.678253-3 1.428248+3 2.930050-3 1.362008+3 3.062073-3 1.328142+3 3.219953-3 1.286832+3 3.517629-3 1.209639+3 3.681541-3 1.168732+3 3.843158-3 1.127966+3 4.031519-3 1.081090+3 4.208818-3 1.036572+3 4.376828-3 9.941909+2 4.524253-3 9.561281+2 4.647005-3 9.235974+2 4.755405-3 8.937304+2 4.860650-3 8.630659+2 4.949434-3 8.355942+2 5.026771-3 8.099692+2 5.090012-3 7.872788+2 5.150804-3 7.633004+2 5.202954-3 7.403540+2 5.245551-3 7.191931+2 5.283896-3 6.972653+2 5.315163-3 6.763592+2 5.347821-3 6.507268+2 5.385153-3 6.174172+2 5.418220-3 5.890770+2 5.436711-3 5.767936+2 5.449520-3 5.708258+2 5.466951-3 5.668195+2 5.477123-3 5.668473+2 5.492172-3 5.700602+2 5.507193-3 5.766946+2 5.525523-3 5.884427+2 5.581301-3 6.331922+2 5.609943-3 6.529223+2 5.633004-3 6.651509+2 5.653862-3 6.733824+2 5.680496-3 6.804165+2 5.711087-3 6.844223+2 5.740128-3 6.848326+2 5.787525-3 6.801022+2 5.829654-3 6.742221+2 5.860924-3 6.729199+2 5.878433-3 6.744961+2 5.906141-3 6.810356+2 5.942774-3 6.962787+2 6.003799-3 7.269885+2 6.025541-3 7.362718+2 6.046445-3 7.436147+2 6.071098-3 7.501891+2 6.099779-3 7.552681+2 6.200000-3 7.644096+2 6.238571-3 7.720839+2 6.278647-3 7.847567+2 6.355397-3 8.133776+2 6.383217-3 8.222033+2 6.416014-3 8.308426+2 6.456542-3 8.392148+2 6.502692-3 8.464660+2 6.556823-3 8.528574+2 6.620264-3 8.583673+2 6.775830-3 8.664914+2 6.933660-3 8.698998+2 7.171045-3 8.686146+2 7.462608-3 8.595908+2 7.742946-3 8.470206+2 8.155305-3 8.238239+2 8.629041-3 7.937602+2 9.258310-3 7.518567+2 9.964087-3 7.051996+2 1.088592-2 6.484678+2 1.211818-2 5.804079+2 1.372017-2 5.062755+2 1.525589-2 4.477872+2 1.699161-2 3.930878+2 1.864769-2 3.494009+2 2.017573-2 3.147236+2 2.180575-2 2.825494+2 2.353212-2 2.529046+2 2.556102-2 2.228645+2 2.769117-2 1.959021+2 2.991233-2 1.719567+2 3.184971-2 1.538821+2 3.345820-2 1.403856+2 3.469865-2 1.305667+2 3.559137-2 1.235762+2 3.636406-2 1.173535+2 3.696449-2 1.121715+2 3.738680-2 1.080988+2 3.759374-2 1.058508+2 3.776632-2 1.037722+2 3.802156-2 1.002504+2 3.853883-2 9.227856+1 3.869956-2 9.045169+1 3.881646-2 8.962795+1 3.895219-2 8.930569+1 3.909369-2 8.969308+1 3.921445-2 9.051997+1 3.947665-2 9.323088+1 3.979563-2 9.661070+1 3.998174-2 9.811003+1 4.024901-2 9.957874+1 4.056253-2 1.005458+2 4.098288-2 1.011009+2 4.149923-2 1.011460+2 4.240875-2 1.003570+2 4.356057-2 9.855030+1 4.493431-2 9.577793+1 4.685422-2 9.149790+1 4.958960-2 8.533482+1 5.324147-2 7.756442+1 5.723944-2 6.985503+1 6.192593-2 6.192021+1 6.720836-2 5.429616+1 7.533002-2 4.487880+1 8.652059-2 3.529347+1 1.055544-1 2.483625+1 1.256276-1 1.812564+1 1.733320-1 1.001740+1 2.079374-1 7.129900+0 2.556619-1 4.813150+0 3.508771-1 2.611275+0 5.173090-1 1.223732+0 8.246127-1 4.882924-1 1.491829+0 1.504678-1 4.461192+0 1.689015-2 1.347258+1 1.852775-3 4.068655+1 2.031626-4 1.228714+2 2.227645-5 3.710658+2 2.442566-6 1.258925+3 2.122013-7 3.981072+3 2.122013-8 1.258925+4 2.122013-9 3.981072+4 2.12201-10 1.000000+5 3.36316-11 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.577500-6 1.258900-6 4.085000-6 1.584900-6 6.474300-6 1.995300-6 1.026100-5 2.511900-6 1.626300-5 3.162300-6 2.577500-5 3.981100-6 4.085000-5 5.011900-6 6.474200-5 6.309600-6 1.026100-4 7.943300-6 1.626200-4 1.000000-5 2.577400-4 1.258900-5 4.084800-4 1.584900-5 6.473800-4 1.995300-5 1.025900-3 2.511900-5 1.625100-3 3.162300-5 2.574100-3 3.981100-5 4.077800-3 5.011900-5 6.460400-3 6.309600-5 1.023600-2 7.943300-5 1.619900-2 1.000000-4 2.562300-2 1.258900-4 4.046900-2 1.584900-4 6.379000-2 1.995300-4 1.002300-1 2.511900-4 1.567500-1 3.162300-4 2.433100-1 3.981100-4 3.724700-1 5.011900-4 5.597200-1 6.309600-4 8.198800-1 7.943300-4 1.162400+0 1.000000-3 1.590100+0 1.258900-3 2.104700+0 1.584900-3 2.724000+0 1.995300-3 3.486500+0 2.511900-3 4.420200+0 3.162300-3 5.544200+0 3.981100-3 6.875700+0 5.011900-3 8.389900+0 6.309600-3 1.001400+1 7.943300-3 1.173000+1 1.000000-2 1.358600+1 1.258900-2 1.555400+1 1.584900-2 1.759100+1 1.995300-2 1.954200+1 2.511900-2 2.125800+1 3.162300-2 2.266900+1 3.981100-2 2.391000+1 5.011900-2 2.475600+1 6.309600-2 2.522800+1 7.943300-2 2.528000+1 1.000000-1 2.492400+1 1.258900-1 2.419900+1 1.584900-1 2.322700+1 1.995300-1 2.202000+1 2.511900-1 2.066100+1 3.162300-1 1.920600+1 3.981100-1 1.771400+1 5.011900-1 1.622000+1 6.309600-1 1.475300+1 7.943300-1 1.332900+1 1.000000+0 1.197100+1 1.258900+0 1.067900+1 1.584900+0 9.466700+0 1.995300+0 8.336800+0 2.511900+0 7.295000+0 3.162300+0 6.343600+0 3.981100+0 5.483700+0 5.011900+0 4.713800+0 6.309600+0 4.030900+0 7.943300+0 3.430200+0 1.000000+1 2.906200+0 1.258900+1 2.452300+0 1.584900+1 2.061700+0 1.995300+1 1.727600+0 2.511900+1 1.443300+0 3.162300+1 1.202500+0 3.981100+1 9.994700-1 5.011900+1 8.288600-1 6.309600+1 6.860000-1 7.943300+1 5.667300-1 1.000000+2 4.674200-1 1.258900+2 3.849300-1 1.584900+2 3.165600-1 1.995300+2 2.600000-1 2.511900+2 2.133000-1 3.162300+2 1.747900-1 3.981100+2 1.430900-1 5.011900+2 1.170400-1 6.309600+2 9.563800-2 7.943300+2 7.809000-2 1.000000+3 6.371200-2 1.258900+3 5.194400-2 1.584900+3 4.232000-2 1.995300+3 3.445700-2 2.511900+3 2.803800-2 3.162300+3 2.280200-2 3.981100+3 1.853400-2 5.011900+3 1.505600-2 6.309600+3 1.222500-2 7.943300+3 9.921500-3 1.000000+4 8.048400-3 1.258900+4 6.526100-3 1.584900+4 5.289500-3 1.995300+4 4.285500-3 2.511900+4 3.470700-3 3.162300+4 2.809800-3 3.981100+4 2.273900-3 5.011900+4 1.839600-3 6.309600+4 1.487700-3 7.943300+4 1.202800-3 1.000000+5 9.721200-4 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994175-4 2.511886-4 2.510167-4 3.162278-4 3.159553-4 3.981072-4 3.976785-4 5.011872-4 5.005114-4 6.309573-4 6.298970-4 7.943282-4 7.926741-4 1.000000-3 9.974229-4 1.258925-3 1.254915-3 1.584893-3 1.578630-3 1.995262-3 1.985463-3 2.511886-3 2.496498-3 3.162278-3 3.138111-3 3.981072-3 3.943155-3 5.011872-3 4.952570-3 6.309573-3 6.217256-3 7.943282-3 7.799822-3 1.000000-2 9.776763-3 1.258925-2 1.224117-2 1.584893-2 1.530913-2 1.995262-2 1.912193-2 2.511886-2 2.384528-2 3.162278-2 2.967844-2 3.981072-2 3.685721-2 5.011872-2 4.565606-2 6.309573-2 5.639858-2 7.943282-2 6.946743-2 1.000000-1 8.531074-2 1.258925-1 1.044860-1 1.584893-1 1.274215-1 1.995262-1 1.549157-1 2.511886-1 1.877400-1 3.162278-1 2.267890-1 3.981072-1 2.730602-1 5.011872-1 3.277563-1 6.309573-1 3.922590-1 7.943282-1 4.683437-1 1.000000+0 5.576783-1 1.258925+0 6.631085-1 1.584893+0 7.873609-1 1.995262+0 9.344968-1 2.511886+0 1.109075+0 3.162278+0 1.316769+0 3.981072+0 1.564731+0 5.011872+0 1.861522+0 6.309573+0 2.217745+0 7.943282+0 2.646236+0 1.000000+1 3.162880+0 1.258925+1 3.786938+0 1.584893+1 4.542091+0 1.995262+1 5.457330+0 2.511886+1 6.568116+0 3.162278+1 7.918153+0 3.981072+1 9.560558+0 5.011872+1 1.156133+1 6.309573+1 1.400099+1 7.943282+1 1.697860+1 1.000000+2 2.061599+1 1.258925+2 2.506304+1 1.584893+2 3.050489+1 1.995262+2 3.716821+1 2.511886+2 4.533332+1 3.162278+2 5.534586+1 3.981072+2 6.763043+1 5.011872+2 8.271366+1 6.309573+2 1.012433+2 7.943282+2 1.240194+2 1.000000+3 1.520286+2 1.258925+3 1.864942+2 1.584893+3 2.289163+2 1.995262+3 2.811763+2 2.511886+3 3.455628+2 3.162278+3 4.249379+2 3.981072+3 5.228242+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090816-9 2.511886-5 1.728588-9 3.162278-5 2.739446-9 3.981072-5 4.341652-9 5.011872-5 6.881035-9 6.309573-5 1.090553-8 7.943282-5 1.727799-8 1.000000-4 2.737523-8 1.258925-4 4.336391-8 1.584893-4 6.866796-8 1.995262-4 1.087035-7 2.511886-4 1.719903-7 3.162278-4 2.724755-7 3.981072-4 4.286714-7 5.011872-4 6.758433-7 6.309573-4 1.060321-6 7.943282-4 1.654146-6 1.000000-3 2.577102-6 1.258925-3 4.010264-6 1.584893-3 6.262951-6 1.995262-3 9.799540-6 2.511886-3 1.538802-5 3.162278-3 2.416628-5 3.981072-3 3.791667-5 5.011872-3 5.930234-5 6.309573-3 9.231702-5 7.943282-3 1.434604-4 1.000000-2 2.232371-4 1.258925-2 3.480858-4 1.584893-2 5.397984-4 1.995262-2 8.306961-4 2.511886-2 1.273582-3 3.162278-2 1.944341-3 3.981072-2 2.953503-3 5.011872-2 4.462663-3 6.309573-2 6.697158-3 7.943282-2 9.965391-3 1.000000-1 1.468926-2 1.258925-1 2.140655-2 1.584893-1 3.106777-2 1.995262-1 4.461057-2 2.511886-1 6.344869-2 3.162278-1 8.943878-2 3.981072-1 1.250469-1 5.011872-1 1.734310-1 6.309573-1 2.386983-1 7.943282-1 3.259845-1 1.000000+0 4.423217-1 1.258925+0 5.958169-1 1.584893+0 7.975323-1 1.995262+0 1.060766+0 2.511886+0 1.402812+0 3.162278+0 1.845509+0 3.981072+0 2.416341+0 5.011872+0 3.150350+0 6.309573+0 4.091829+0 7.943282+0 5.297046+0 1.000000+1 6.837120+0 1.258925+1 8.802316+0 1.584893+1 1.130684+1 1.995262+1 1.449529+1 2.511886+1 1.855075+1 3.162278+1 2.370462+1 3.981072+1 3.025016+1 5.011872+1 3.855740+1 6.309573+1 4.909474+1 7.943282+1 6.245422+1 1.000000+2 7.938401+1 1.258925+2 1.008295+2 1.584893+2 1.279844+2 1.995262+2 1.623580+2 2.511886+2 2.058553+2 3.162278+2 2.608819+2 3.981072+2 3.304767+2 5.011872+2 4.184736+2 6.309573+2 5.297141+2 7.943282+2 6.703088+2 1.000000+3 8.479714+2 1.258925+3 1.072431+3 1.584893+3 1.355977+3 1.995262+3 1.714086+3 2.511886+3 2.166324+3 3.162278+3 2.737340+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.140000-6 2.723952+6 5.340000-6 2.253835+6 5.340000-6 6.352807+6 5.559043-6 6.220940+6 5.580000-6 6.212938+6 5.580000-6 8.701178+6 5.623413-6 8.723216+6 5.821032-6 8.839491+6 5.850000-6 8.858804+6 6.025596-6 8.978751+6 6.100000-6 9.034923+6 6.309573-6 9.193080+6 6.382635-6 9.251536+6 6.456542-6 9.306963+6 6.606934-6 9.429027+6 6.700000-6 9.504623+6 6.760830-6 9.548993+6 6.918310-6 9.670345+6 7.100000-6 9.812024+6 7.244360-6 9.915838+6 7.413102-6 1.003413+7 7.500000-6 1.009726+7 7.600000-6 1.016218+7 7.762471-6 1.026068+7 7.852356-6 1.031661+7 8.000000-6 1.039629+7 8.128305-6 1.045939+7 8.317638-6 1.055504+7 8.413951-6 1.059536+7 8.511380-6 1.063084+7 8.709636-6 1.070453+7 8.850000-6 1.074572+7 9.120108-6 1.081128+7 9.225714-6 1.082797+7 9.549926-6 1.086125+7 9.700000-6 1.086353+7 1.000000-5 1.085085+7 1.011579-5 1.083514+7 1.027000-5 1.080505+7 1.050000-5 1.076216+7 1.060000-5 1.073397+7 1.071519-5 1.069412+7 1.092000-5 1.062522+7 1.100000-5 1.059897+7 1.110000-5 1.055676+7 1.127000-5 1.047651+7 1.142000-5 1.040746+7 1.150000-5 1.037130+7 1.161449-5 1.030281+7 1.180000-5 1.019448+7 1.195000-5 1.010913+7 1.202264-5 1.006850+7 1.207000-5 1.003556+7 1.222000-5 9.932906+6 1.240000-5 9.812897+6 1.250000-5 9.747693+6 1.260000-5 9.670386+6 1.280000-5 9.519576+6 1.303167-5 9.350873+6 1.320000-5 9.212783+6 1.340000-5 9.053702+6 1.350000-5 8.976132+6 1.365000-5 8.847370+6 1.396500-5 8.587563+6 1.400000-5 8.559549+6 1.428894-5 8.306937+6 1.462177-5 8.031393+6 1.480000-5 7.874061+6 1.530000-5 7.458628+6 1.531087-5 7.449641+6 1.590000-5 6.961766+6 1.603245-5 6.855795+6 1.659587-5 6.413183+6 1.678804-5 6.267971+6 1.737801-5 5.835473+6 1.770000-5 5.612219+6 1.819701-5 5.280337+6 1.830000-5 5.215162+6 1.862087-5 5.015149+6 1.905461-5 4.754518+6 1.927525-5 4.629362+6 1.980000-5 4.345024+6 2.000000-5 4.240592+6 2.041738-5 4.033827+6 2.089296-5 3.811512+6 2.113489-5 3.705024+6 2.190000-5 3.387690+6 2.264644-5 3.109383+6 2.300000-5 2.986181+6 2.371374-5 2.757421+6 2.426610-5 2.594605+6 2.454709-5 2.516862+6 2.540973-5 2.293345+6 2.559000-5 2.250135+6 2.559000-5 1.138941+7 2.570396-5 1.125991+7 2.620000-5 1.071792+7 2.650000-5 1.038311+7 2.660725-5 1.026639+7 2.691535-5 9.940832+6 2.754229-5 9.285965+6 2.786121-5 8.974231+6 2.818383-5 8.658962+6 2.833000-5 8.520932+6 2.833000-5 1.299797+7 2.851018-5 1.277365+7 2.884032-5 1.237543+7 2.917427-5 1.197630+7 2.940000-5 1.170935+7 2.951209-5 1.157634+7 2.985383-5 1.118248+7 3.000000-5 1.101951+7 3.054921-5 1.042104+7 3.080000-5 1.016151+7 3.090295-5 1.005534+7 3.150000-5 9.454764+6 3.162278-5 9.336955+6 3.198895-5 8.996848+6 3.235937-5 8.662994+6 3.273407-5 8.340816+6 3.350000-5 7.720561+6 3.450000-5 6.984737+6 3.507519-5 6.601586+6 3.548134-5 6.343475+6 3.589219-5 6.095002+6 3.650000-5 5.748958+6 3.715352-5 5.403862+6 3.758374-5 5.188581+6 3.850000-5 4.764812+6 3.981072-5 4.231853+6 4.000000-5 4.161239+6 4.027170-5 4.061892+6 4.073803-5 3.900244+6 4.220000-5 3.443363+6 4.265795-5 3.314367+6 4.315191-5 3.182091+6 4.365000-5 3.057028+6 4.365000-5 3.143553+6 4.466836-5 2.910752+6 4.570882-5 2.696572+6 4.700000-5 2.463536+6 4.731513-5 2.410947+6 4.841724-5 2.240240+6 4.900000-5 2.158383+6 4.920000-5 2.131283+6 5.011872-5 2.012702+6 5.128614-5 1.875362+6 5.150000-5 1.852468+6 5.308844-5 1.694105+6 5.400000-5 1.612226+6 5.500000-5 1.530783+6 5.650000-5 1.421252+6 5.688529-5 1.394946+6 5.821032-5 1.312247+6 5.888437-5 1.273104+6 5.900000-5 1.266669+6 5.956621-5 1.235716+6 6.025596-5 1.200618+6 6.165950-5 1.134120+6 6.237348-5 1.102423+6 6.400000-5 1.038370+6 6.456542-5 1.017395+6 6.531306-5 9.907601+5 6.606934-5 9.658981+5 6.650000-5 9.524563+5 6.683439-5 9.422381+5 6.839116-5 8.966956+5 6.918310-5 8.757946+5 7.161434-5 8.172828+5 7.244360-5 7.994353+5 7.413102-5 7.659700+5 7.500000-5 7.494975+5 7.585776-5 7.344633+5 7.762471-5 7.058882+5 7.852356-5 6.919187+5 7.943282-5 6.788113+5 8.128305-5 6.542115+5 8.150000-5 6.514473+5 8.222426-5 6.422052+5 8.317638-5 6.308772+5 8.511380-5 6.095576+5 8.609938-5 5.992776+5 8.709636-5 5.890563+5 8.810489-5 5.796702+5 9.070000-5 5.569573+5 9.120108-5 5.527993+5 9.150000-5 5.503008+5 9.300000-5 5.383467+5 9.332543-5 5.359235+5 9.500000-5 5.238206+5 9.549926-5 5.203297+5 9.580000-5 5.182910+5 9.740000-5 5.077335+5 9.800000-5 5.038991+5 9.950000-5 4.943902+5 1.000000-4 4.913076+5 1.011579-4 4.846994+5 1.023293-4 4.782138+5 1.035142-4 4.718437+5 1.047129-4 4.655929+5 1.059254-4 4.595813+5 1.071519-4 4.535391+5 1.083927-4 4.475980+5 1.096478-4 4.419525+5 1.109175-4 4.363986+5 1.110000-4 4.360505+5 1.122018-4 4.310598+5 1.135011-4 4.258051+5 1.137600-4 4.247769+5 1.137600-4 1.127815+6 1.140000-4 1.142052+6 1.146000-4 1.186637+6 1.148154-4 1.205153+6 1.152000-4 1.239317+6 1.161449-4 1.334869+6 1.167000-4 1.396125+6 1.168300-4 1.410099+6 1.168300-4 1.886055+6 1.169700-4 1.906201+6 1.174898-4 1.988729+6 1.175000-4 1.990460+6 1.180000-4 2.072143+6 1.185200-4 2.158322+6 1.187000-4 2.186847+6 1.190000-4 2.236090+6 1.195000-4 2.314151+6 1.200000-4 2.387980+6 1.202264-4 2.418938+6 1.205000-4 2.455279+6 1.209500-4 2.509794+6 1.210000-4 2.515559+6 1.215000-4 2.566098+6 1.216186-4 2.577223+6 1.220000-4 2.608306+6 1.221000-4 2.615479+6 1.225000-4 2.640183+6 1.227000-4 2.650063+6 1.230269-4 2.662944+6 1.232000-4 2.669861+6 1.238000-4 2.679036+6 1.240000-4 2.680061+6 1.243000-4 2.678211+6 1.244515-4 2.675771+6 1.247000-4 2.671851+6 1.249000-4 2.666916+6 1.254500-4 2.648166+6 1.255000-4 2.646046+6 1.260000-4 2.620939+6 1.262300-4 2.607642+6 1.265000-4 2.592185+6 1.267000-4 2.579515+6 1.275000-4 2.522951+6 1.283000-4 2.458297+6 1.290000-4 2.399996+6 1.300000-4 2.311519+6 1.303167-4 2.283168+6 1.307000-4 2.249474+6 1.311000-4 2.213871+6 1.322000-4 2.116725+6 1.333521-4 2.018415+6 1.340000-4 1.964511+6 1.350000-4 1.883161+6 1.364583-4 1.772407+6 1.365000-4 1.769371+6 1.369600-4 1.735697+6 1.400000-4 1.531252+6 1.412538-4 1.455386+6 1.445440-4 1.279576+6 1.462177-4 1.202980+6 1.472000-4 1.161010+6 1.490000-4 1.091319+6 1.496236-4 1.068982+6 1.513561-4 1.012163+6 1.520000-4 9.928469+5 1.531087-4 9.616196+5 1.540000-4 9.385780+5 1.550000-4 9.143828+5 1.560000-4 8.923467+5 1.570000-4 8.718518+5 1.580000-4 8.531690+5 1.584893-4 8.446335+5 1.585000-4 8.444484+5 1.600000-4 8.206232+5 1.603245-4 8.158661+5 1.620000-4 7.938261+5 1.621810-4 7.916465+5 1.630000-4 7.827716+5 1.640590-4 7.715445+5 1.659587-4 7.552973+5 1.660000-4 7.549507+5 1.678804-4 7.425583+5 1.680000-4 7.417830+5 1.698244-4 7.328528+5 1.720000-4 7.256103+5 1.737801-4 7.222256+5 1.740000-4 7.218131+5 1.760000-4 7.204024+5 1.778279-4 7.212250+5 1.780000-4 7.213054+5 1.790000-4 7.222438+5 1.800000-4 7.238158+5 1.805000-4 7.245981+5 1.820000-4 7.276900+5 1.835000-4 7.316394+5 1.840772-4 7.334159+5 1.865000-4 7.409231+5 1.883649-4 7.482792+5 1.905461-4 7.570839+5 1.930000-4 7.679508+5 1.949845-4 7.771320+5 1.950000-4 7.772044+5 2.000000-4 8.021428+5 2.041738-4 8.239681+5 2.070700-4 8.387934+5 2.070700-4 1.180977+6 2.113489-4 1.203158+6 2.120000-4 1.206595+6 2.137962-4 1.215579+6 2.162719-4 1.227752+6 2.190000-4 1.241445+6 2.220000-4 1.255149+6 2.242800-4 1.265266+6 2.247300-4 1.267282+6 2.247300-4 1.378012+6 2.264644-4 1.385667+6 2.270000-4 1.387819+6 2.292200-4 1.396290+6 2.300000-4 1.399298+6 2.344229-4 1.415490+6 2.371374-4 1.424404+6 2.380000-4 1.427258+6 2.426610-4 1.441700+6 2.454709-4 1.449289+6 2.500000-4 1.460555+6 2.511886-4 1.463536+6 2.540973-4 1.469645+6 2.570396-4 1.475115+6 2.600160-4 1.480364+6 2.630268-4 1.484607+6 2.660725-4 1.488206+6 2.691535-4 1.491907+6 2.722701-4 1.494295+6 2.730000-4 1.494857+6 2.791300-4 1.498268+6 2.791300-4 1.636408+6 2.800000-4 1.636643+6 2.818383-4 1.636495+6 2.830000-4 1.636412+6 2.851018-4 1.635803+6 2.884032-4 1.634870+6 2.917427-4 1.634003+6 2.950000-4 1.632181+6 2.951209-4 1.632089+6 2.985383-4 1.629461+6 3.000000-4 1.628355+6 3.019952-4 1.626785+6 3.054921-4 1.623028+6 3.150000-4 1.610743+6 3.162278-4 1.608854+6 3.198895-4 1.602630+6 3.200000-4 1.602444+6 3.235937-4 1.596438+6 3.273407-4 1.590064+6 3.280000-4 1.588955+6 3.311311-4 1.582973+6 3.350000-4 1.574989+6 3.427678-4 1.558857+6 3.430000-4 1.558384+6 3.467369-4 1.550010+6 3.507519-4 1.540563+6 3.548134-4 1.531058+6 3.600000-4 1.519056+6 3.630781-4 1.511363+6 3.672823-4 1.500231+6 3.758374-4 1.478234+6 3.801894-4 1.467261+6 3.845918-4 1.454827+6 3.890451-4 1.442505+6 3.935501-4 1.430017+6 4.000000-4 1.412575+6 4.027170-4 1.404602+6 4.073803-4 1.391133+6 4.100000-4 1.383596+6 4.216965-4 1.350759+6 4.265795-4 1.336195+6 4.315191-4 1.321786+6 4.365158-4 1.307534+6 4.466836-4 1.279260+6 4.623810-4 1.234969+6 4.731513-4 1.205922+6 4.897788-4 1.160503+6 5.011872-4 1.131024+6 5.150000-4 1.094565+6 5.248075-4 1.069833+6 5.300000-4 1.057142+6 5.370318-4 1.040299+6 5.432503-4 1.025032+6 5.559043-4 9.948690+5 5.754399-4 9.510645+5 5.800000-4 9.408370+5 5.821032-4 9.361787+5 5.888437-4 9.215099+5 6.000000-4 8.980866+5 6.025596-4 8.928553+5 6.095369-4 8.786976+5 6.165950-4 8.647076+5 6.382635-4 8.223453+5 6.531306-4 7.952700+5 6.606934-4 7.820594+5 6.700000-4 7.655734+5 6.839116-4 7.418000+5 6.918310-4 7.288028+5 7.000000-4 7.157850+5 7.079458-4 7.034849+5 7.161434-4 6.909783+5 7.328245-4 6.661112+5 7.413102-4 6.538810+5 7.498942-4 6.418655+5 7.500000-4 6.417196+5 7.585776-4 6.300443+5 7.673615-4 6.182999+5 7.762471-4 6.065679+5 8.128305-4 5.618371+5 8.200000-4 5.536277+5 8.222426-4 5.510897+5 8.317638-4 5.403816+5 8.413951-4 5.296950+5 8.472800-4 5.233240+5 8.472800-4 1.614024+6 8.580000-4 1.755031+6 8.609938-4 1.792383+6 8.620000-4 1.805201+6 8.649600-4 1.836556+6 8.649600-4 2.582023+6 8.658000-4 2.594031+6 8.680000-4 2.620289+6 8.700000-4 2.638823+6 8.757200-4 2.675208+6 8.810489-4 2.683989+6 8.835000-4 2.688199+6 8.890000-4 2.682470+6 8.912509-4 2.677889+6 8.950000-4 2.670483+6 8.980000-4 2.662152+6 9.015711-4 2.647886+6 9.050000-4 2.634322+6 9.100000-4 2.612545+6 9.120108-4 2.602263+6 9.150000-4 2.587090+6 9.225714-4 2.537372+6 9.440609-4 2.403526+6 9.549926-4 2.338485+6 9.650000-4 2.281127+6 9.772372-4 2.216163+6 9.885531-4 2.158354+6 1.000000-3 2.101929+6 1.011579-3 2.046997+6 1.059254-3 1.850777+6 1.071519-3 1.804691+6 1.083927-3 1.759657+6 1.110000-3 1.668339+6 1.122018-3 1.628065+6 1.122700-3 1.625821+6 1.122700-3 1.862511+6 1.135011-3 1.820390+6 1.161449-3 1.734628+6 1.170000-3 1.707693+6 1.174898-3 1.692355+6 1.188502-3 1.650219+6 1.204800-3 1.601779+6 1.204800-3 1.690959+6 1.220000-3 1.649038+6 1.230269-3 1.621173+6 1.238000-3 1.600508+6 1.244515-3 1.583180+6 1.245000-3 1.581882+6 1.255000-3 1.555040+6 1.258925-3 1.544619+6 1.273503-3 1.506811+6 1.288250-3 1.469514+6 1.310000-3 1.416934+6 1.333521-3 1.362988+6 1.350000-3 1.326697+6 1.350400-3 1.325822+6 1.350400-3 1.384667+6 1.380384-3 1.320199+6 1.396368-3 1.287349+6 1.400000-3 1.280058+6 1.412538-3 1.255360+6 1.428894-3 1.223861+6 1.430000-3 1.221772+6 1.445440-3 1.192962+6 1.462177-3 1.162874+6 1.479108-3 1.133587+6 1.500000-3 1.098559+6 1.513561-3 1.076614+6 1.531087-3 1.048988+6 1.548817-3 1.022083+6 1.566751-3 9.959349+5 1.570000-3 9.912863+5 1.603245-3 9.454426+5 1.621810-3 9.212071+5 1.630000-3 9.107148+5 1.659587-3 8.741598+5 1.698244-3 8.292584+5 1.717908-3 8.077135+5 1.737801-3 7.866402+5 1.757924-3 7.661203+5 1.778279-3 7.461378+5 1.800000-3 7.256017+5 1.840772-3 6.887700+5 1.850000-3 6.808206+5 1.862087-3 6.705074+5 1.883649-3 6.525572+5 1.905461-3 6.351150+5 1.927525-3 6.181172+5 1.950000-3 6.014829+5 1.972423-3 5.855208+5 2.000000-3 5.666275+5 2.041738-3 5.394942+5 2.089296-3 5.106250+5 2.113489-3 4.967944+5 2.137962-3 4.833576+5 2.150000-3 4.769444+5 2.162719-3 4.702969+5 2.187762-3 4.576018+5 2.238721-3 4.332232+5 2.264644-3 4.214080+5 2.300000-3 4.060318+5 2.344229-3 3.878150+5 2.350000-3 3.855117+5 2.371374-3 3.771448+5 2.400000-3 3.663513+5 2.426610-3 3.567024+5 2.454709-3 3.469123+5 2.511886-3 3.280641+5 2.540973-3 3.190179+5 2.570396-3 3.101528+5 2.600160-3 3.015162+5 2.630268-3 2.931240+5 2.650000-3 2.878081+5 2.691535-3 2.770592+5 2.722701-3 2.693450+5 2.786121-3 2.545863+5 2.818383-3 2.475270+5 2.884032-3 2.338520+5 2.900000-3 2.306885+5 2.917427-3 2.272867+5 2.951209-3 2.208977+5 3.000000-3 2.121013+5 3.019952-3 2.086472+5 3.054921-3 2.027737+5 3.150000-3 1.879709+5 3.162278-3 1.861739+5 3.198895-3 1.808949+5 3.200000-3 1.807390+5 3.235937-3 1.757679+5 3.273407-3 1.707936+5 3.300000-3 1.673760+5 3.311311-3 1.659506+5 3.400000-3 1.553126+5 3.467369-3 1.478726+5 3.507519-3 1.436570+5 3.548134-3 1.395671+5 3.589219-3 1.355721+5 3.630781-3 1.316969+5 3.650000-3 1.299587+5 3.758374-3 1.206898+5 3.845918-3 1.138814+5 3.890451-3 1.106175+5 3.935501-3 1.074498+5 4.000000-3 1.031040+5 4.027170-3 1.013490+5 4.073803-3 9.842196+4 4.120975-3 9.558344+4 4.216965-3 9.013796+4 4.300000-3 8.576674+4 4.315191-3 8.499971+4 4.365158-3 8.254288+4 4.415704-3 8.014393+4 4.466836-3 7.781612+4 4.518559-3 7.555914+4 4.570882-3 7.336208+4 4.623810-3 7.122543+4 4.677351-3 6.914875+4 4.786301-3 6.517310+4 4.897788-3 6.143465+4 4.954502-3 5.963543+4 5.069907-3 5.619611+4 5.128614-3 5.454896+4 5.248075-3 5.139210+4 5.300000-3 5.010045+4 5.308844-3 4.988408+4 5.370318-3 4.841605+4 5.432503-3 4.699250+4 5.483800-3 4.586219+4 5.483800-3 1.327908+5 5.500000-3 1.319415+5 5.522000-3 1.308008+5 5.559043-3 1.289084+5 5.575000-3 1.281059+5 5.623413-3 1.253836+5 5.700000-3 1.212403+5 5.754399-3 1.182722+5 5.902500-3 1.106728+5 5.902500-3 1.510141+5 5.956621-3 1.477515+5 5.985000-3 1.460815+5 6.000000-3 1.451730+5 6.025596-3 1.436117+5 6.095369-3 1.394737+5 6.100000-3 1.392046+5 6.165950-3 1.353142+5 6.200000-3 1.333614+5 6.237348-3 1.312639+5 6.241800-3 1.310170+5 6.241800-3 1.511480+5 6.309573-3 1.470951+5 6.382635-3 1.428965+5 6.400000-3 1.419226+5 6.456542-3 1.388399+5 6.500000-3 1.365106+5 6.531306-3 1.348509+5 6.650000-3 1.288078+5 6.760830-3 1.235593+5 6.839116-3 1.200342+5 6.918310-3 1.166123+5 6.998420-3 1.132124+5 7.000000-3 1.131468+5 7.244360-3 1.035917+5 7.413102-3 9.763798+4 7.500000-3 9.475840+4 7.585776-3 9.204091+4 7.673615-3 8.934792+4 7.762471-3 8.671139+4 7.852356-3 8.415498+4 7.943282-3 8.167589+4 8.128305-3 7.693327+4 8.222426-3 7.465079+4 8.317638-3 7.243721+4 8.511380-3 6.820858+4 8.609938-3 6.618044+4 8.709636-3 6.421403+4 8.810489-3 6.230213+4 8.912509-3 6.044862+4 9.000000-3 5.892012+4 9.015711-3 5.865100+4 9.120108-3 5.689881+4 9.225714-3 5.520016+4 9.332543-3 5.355230+4 9.440609-3 5.195397+4 9.660509-3 4.890283+4 9.772372-3 4.744686+4 9.885531-3 4.603546+4 1.000000-2 4.466723+4 1.011579-2 4.334083+4 1.023293-2 4.204135+4 1.035142-2 4.078154+4 1.047129-2 3.955940+4 1.059254-2 3.837396+4 1.096478-2 3.498939+4 1.109175-2 3.393037+4 1.122018-2 3.290436+4 1.135011-2 3.191012+4 1.148154-2 3.093977+4 1.174898-2 2.908659+4 1.188502-2 2.820309+4 1.202264-2 2.734655+4 1.230000-2 2.572702+4 1.244515-2 2.493214+4 1.258925-2 2.417662+4 1.273503-2 2.344462+4 1.288250-2 2.273027+4 1.288400-2 2.272316+4 1.303167-2 2.203388+4 1.318257-2 2.135840+4 1.333521-2 2.070412+4 1.350000-2 2.002866+4 1.364583-2 1.945595+4 1.396368-2 1.828402+4 1.412538-2 1.772293+4 1.428894-2 1.717773+4 1.445440-2 1.664692+4 1.462177-2 1.613254+4 1.479108-2 1.563448+4 1.513561-2 1.468409+4 1.531087-2 1.423131+4 1.548817-2 1.379249+4 1.580000-2 1.306491+4 1.603245-2 1.255584+4 1.621810-2 1.216893+4 1.640590-2 1.179427+4 1.659587-2 1.142884+4 1.678804-2 1.107501+4 1.698244-2 1.073210+4 1.717908-2 1.039754+4 1.737801-2 1.007365+4 1.778279-2 9.456177+3 1.819701-2 8.877222+3 1.840772-2 8.600459+3 1.862087-2 8.332489+3 1.905461-2 7.822008+3 1.927525-2 7.577760+3 1.949845-2 7.341086+3 1.950000-2 7.339478+3 1.972423-2 7.111761+3 2.000000-2 6.844782+3 2.041738-2 6.466471+3 2.065380-2 6.263793+3 2.089296-2 6.067612+3 2.113489-2 5.877726+3 2.137962-2 5.693939+3 2.162719-2 5.514930+3 2.187762-2 5.341653+3 2.213095-2 5.173956+3 2.238721-2 5.010937+3 2.264644-2 4.853180+3 2.300000-2 4.648784+3 2.317395-2 4.552477+3 2.344229-2 4.409234+3 2.371374-2 4.270583+3 2.454709-2 3.880876+3 2.483133-2 3.758636+3 2.511886-2 3.640342+3 2.540973-2 3.525010+3 2.570396-2 3.413394+3 2.630268-2 3.200711+3 2.650000-2 3.134635+3 2.691535-2 3.001511+3 2.754229-2 2.814151+3 2.818383-2 2.638759+3 2.884032-2 2.474558+3 2.917427-2 2.396425+3 2.951209-2 2.320814+3 2.985383-2 2.246759+3 3.000000-2 2.216076+3 3.019952-2 2.175107+3 3.054921-2 2.105785+3 3.090295-2 2.038724+3 3.126079-2 1.973815+3 3.162278-2 1.911002+3 3.300000-2 1.695441+3 3.311311-2 1.679218+3 3.427678-2 1.524104+3 3.467369-2 1.475347+3 3.507519-2 1.428182+3 3.548134-2 1.382555+3 3.589219-2 1.338258+3 3.630781-2 1.295411+3 3.672823-2 1.253942+3 3.715352-2 1.213825+3 3.894300-2 1.062883+3 3.894300-2 6.197685+3 3.927000-2 6.081932+3 3.935501-2 6.048067+3 3.981072-2 5.870933+3 4.000000-2 5.799387+3 4.027170-2 5.698760+3 4.073803-2 5.527146+3 4.168694-2 5.199342+3 4.216965-2 5.051340+3 4.265795-2 4.907574+3 4.315191-2 4.759567+3 4.365158-2 4.616036+3 4.570882-2 4.083964+3 4.623810-2 3.960867+3 4.677351-2 3.841347+3 4.786301-2 3.615413+3 4.841724-2 3.507493+3 4.954502-2 3.301267+3 5.011872-2 3.202743+3 5.069907-2 3.107167+3 5.128614-2 3.014455+3 5.188000-2 2.924500+3 5.248075-2 2.837209+3 5.308844-2 2.750614+3 5.370318-2 2.666670+3 5.495409-2 2.506229+3 5.754399-2 2.213827+3 5.841730-2 2.125818+3 5.888437-2 2.080715+3 6.000000-2 1.976827+3 6.095369-2 1.893569+3 6.165950-2 1.835002+3 6.309573-2 1.723262+3 6.382635-2 1.669911+3 6.531306-2 1.568130+3 6.606934-2 1.519586+3 6.683439-2 1.472546+3 7.161434-2 1.219410+3 7.244360-2 1.181680+3 7.300000-2 1.157251+3 7.413102-2 1.108938+3 7.500000-2 1.073669+3 7.762471-2 9.758788+2 8.000000-2 8.975572+2 8.128305-2 8.587866+2 8.413951-2 7.803046+2 8.609938-2 7.320162+2 8.709636-2 7.090070+2 9.015711-2 6.442238+2 9.120108-2 6.239534+2 9.332543-2 5.848298+2 9.772372-2 5.138013+2 1.000000-1 4.815966+2 1.011580-1 4.662600+2 1.023293-1 4.514142+2 1.035142-1 4.370413+2 1.059254-1 4.096542+2 1.071519-1 3.966132+2 1.109175-1 3.599232+2 1.122019-1 3.484648+2 1.188502-1 2.963802+2 1.202264-1 2.868732+2 1.216186-1 2.776727+2 1.244515-1 2.601489+2 1.258925-1 2.518075+2 1.273503-1 2.437332+2 1.288250-1 2.359181+2 1.318257-1 2.210357+2 1.348963-1 2.070933+2 1.364583-1 2.004522+2 1.380384-1 1.940244+2 1.396368-1 1.878025+2 1.412538-1 1.817802+2 1.428894-1 1.759517+2 1.445440-1 1.703102+2 1.496236-1 1.544493+2 1.500000-1 1.533550+2 1.531088-1 1.447072+2 1.603245-1 1.270303+2 1.621810-1 1.229605+2 1.640590-1 1.190212+2 1.659587-1 1.152083+2 1.698244-1 1.079454+2 1.717908-1 1.044881+2 1.737801-1 1.011415+2 1.757924-1 9.790223+1 1.819701-1 8.879447+1 1.862087-1 8.319984+1 1.883649-1 8.053623+1 1.905461-1 7.795851+1 1.972423-1 7.071043+1 2.000000-1 6.799044+1 2.018366-1 6.625719+1 2.041738-1 6.413706+1 2.065380-1 6.208488+1 2.089296-1 6.009842+1 2.137962-1 5.634853+1 2.162719-1 5.456266+1 2.187762-1 5.283388+1 2.238721-1 4.953905+1 2.264644-1 4.797107+1 2.290868-1 4.645272+1 2.317395-1 4.498249+1 2.344229-1 4.355891+1 2.398833-1 4.084570+1 2.426610-1 3.955321+1 2.454709-1 3.830165+1 2.483133-1 3.709005+1 2.511886-1 3.591735+1 2.540973-1 3.478172+1 2.570396-1 3.369614+1 2.630268-1 3.162562+1 2.660725-1 3.063865+1 2.722701-1 2.875621+1 2.754229-1 2.785884+1 2.786121-1 2.698952+1 2.818383-1 2.614753+1 2.851018-1 2.533188+1 2.884032-1 2.454299+1 2.951209-1 2.303822+1 3.000000-1 2.202357+1 3.000060-1 2.202236+1 3.019952-1 2.163275+1 3.054921-1 2.097043+1 3.090295-1 2.032840+1 3.126079-1 1.970603+1 3.162278-1 1.910288+1 3.198895-1 1.851822+1 3.235937-1 1.795148+1 3.311311-1 1.686977+1 3.349654-1 1.635364+1 3.388442-1 1.585413+1 3.427678-1 1.536993+1 3.467369-1 1.490053+1 3.507519-1 1.445374+1 3.548134-1 1.402037+1 3.589219-1 1.360000+1 3.630781-1 1.319224+1 3.672823-1 1.279682+1 3.715352-1 1.241328+1 3.801894-1 1.168034+1 3.845918-1 1.133027+1 3.890451-1 1.099144+1 3.935501-1 1.066276+1 3.981072-1 1.034972+1 4.000000-1 1.022344+1 4.027170-1 1.004595+1 4.073803-1 9.751156+0 4.120975-1 9.465112+0 4.168694-1 9.187457+0 4.265795-1 8.656365+0 4.315191-1 8.402515+0 4.365158-1 8.156117+0 4.415705-1 7.917441+0 4.466836-1 7.690394+0 4.518559-1 7.469862+0 4.570882-1 7.255768+0 4.623810-1 7.047872+0 4.677351-1 6.845937+0 4.731513-1 6.649838+0 4.786301-1 6.459362+0 4.954502-1 5.920053+0 5.000000-1 5.788304+0 5.011872-1 5.754605+0 5.069907-1 5.593801+0 5.128614-1 5.437615+0 5.248075-1 5.138298+0 5.432503-1 4.719938+0 5.495409-1 4.588204+0 5.559043-1 4.462984+0 5.623413-1 4.341506+0 5.688529-1 4.223420+0 5.754399-1 4.108604+0 5.956621-1 3.782557+0 6.000000-1 3.717425+0 6.025596-1 3.679737+0 6.095369-1 3.579714+0 6.165950-1 3.484656+0 6.237348-1 3.392153+0 6.309573-1 3.302379+0 6.382635-1 3.215025+0 6.456542-1 3.129985+0 6.531306-1 3.047195+0 6.606935-1 2.966600+0 6.683439-1 2.888138+0 6.760830-1 2.813887+0 6.839117-1 2.741567+0 6.918310-1 2.671129+0 6.998420-1 2.602694+0 7.079458-1 2.536049+0 7.161434-1 2.471112+0 7.244360-1 2.407842+0 7.328245-1 2.346193+0 7.413102-1 2.286123+0 7.585776-1 2.173415+0 7.673615-1 2.119178+0 7.762471-1 2.066436+0 7.852356-1 2.015034+0 7.943282-1 1.964914+0 8.035261-1 1.916040+0 8.222427-1 1.821911+0 8.413951-1 1.734604+0 8.511380-1 1.692553+0 8.609938-1 1.651652+0 8.709636-1 1.611749+0 8.912509-1 1.534872+0 9.015711-1 1.497821+0 9.120108-1 1.461678+0 9.225714-1 1.426407+0 9.332543-1 1.391990+0 9.440609-1 1.358524+0 9.549926-1 1.326988+0 9.660509-1 1.296209+0 9.772372-1 1.266158+0 9.885531-1 1.236804+0 1.000000+0 1.208137+0 1.011579+0 1.180148+0 1.022000+0 1.155778+0 1.023293+0 1.152807+0 1.035142+0 1.126910+0 1.047129+0 1.101605+0 1.059254+0 1.076871+0 1.071519+0 1.052706+0 1.083927+0 1.029094+0 1.096478+0 1.006013+0 1.109175+0 9.834491-1 1.122018+0 9.613932-1 1.135011+0 9.398298-1 1.148154+0 9.187581-1 1.161449+0 8.981668-1 1.174898+0 8.785544-1 1.188502+0 8.594296-1 1.202264+0 8.407204-1 1.216186+0 8.224297-1 1.244515+0 7.870348-1 1.250000+0 7.804503-1 1.258925+0 7.699214-1 1.273503+0 7.531845-1 1.288250+0 7.368113-1 1.303167+0 7.212548-1 1.318257+0 7.060754-1 1.333521+0 6.912162-1 1.348963+0 6.766688-1 1.364583+0 6.624377-1 1.380384+0 6.485061-1 1.396368+0 6.348749-1 1.412538+0 6.215303-1 1.428894+0 6.084672-1 1.445440+0 5.956789-1 1.462177+0 5.835118-1 1.479108+0 5.716320-1 1.513561+0 5.485927-1 1.531087+0 5.374315-1 1.584893+0 5.052917-1 1.640590+0 4.750739-1 1.659587+0 4.657210-1 1.678804+0 4.565545-1 1.698244+0 4.475683-1 1.717908+0 4.387605-1 1.737801+0 4.301337-1 1.757924+0 4.216767-1 1.798871+0 4.052587-1 1.819701+0 3.972909-1 1.840772+0 3.894799-1 1.862087+0 3.818224-1 1.883649+0 3.745607-1 1.905461+0 3.674391-1 1.927525+0 3.604530-1 1.949845+0 3.536006-1 1.972423+0 3.468852-1 2.018366+0 3.338350-1 2.041738+0 3.274949-1 2.044000+0 3.268916-1 2.113489+0 3.091886-1 2.137962+0 3.035218-1 2.162719+0 2.979587-1 2.187762+0 2.924984-1 2.213095+0 2.871398-1 2.238721+0 2.818833-1 2.290868+0 2.716569-1 2.317395+0 2.666838-1 2.398833+0 2.523041-1 2.426610+0 2.478470-1 2.454709+0 2.434686-1 2.483133+0 2.391682-1 2.511886+0 2.349450-1 2.540973+0 2.307993-1 2.600160+0 2.227261-1 2.630268+0 2.187962-1 2.722701+0 2.074174-1 2.754229+0 2.037575-1 2.786121+0 2.002835-1 2.818383+0 1.968687-1 2.851018+0 1.935126-1 2.884032+0 1.902145-1 2.917427+0 1.869750-1 3.000000+0 1.793486-1 3.019952+0 1.775836-1 3.162278+0 1.657915-1 3.198895+0 1.629679-1 3.235937+0 1.602828-1 3.273407+0 1.576420-1 3.311311+0 1.550450-1 3.349654+0 1.524915-1 3.388442+0 1.499818-1 3.467369+0 1.450858-1 3.507519+0 1.426980-1 3.672823+0 1.335336-1 3.715352+0 1.313360-1 3.758374+0 1.292468-1 3.801894+0 1.271908-1 3.845918+0 1.251679-1 3.890451+0 1.231777-1 3.935501+0 1.212204-1 4.027170+0 1.173989-1 4.073803+0 1.155335-1 4.265795+0 1.083638-1 4.315191+0 1.066420-1 4.365158+0 1.050020-1 4.415704+0 1.033871-1 4.466836+0 1.017973-1 4.518559+0 1.002324-1 4.623810+0 9.717640-2 4.731513+0 9.421356-2 4.786301+0 9.276622-2 5.011872+0 8.719578-2 5.069907+0 8.585625-2 5.188000+0 8.331678-2 5.248075+0 8.207534-2 5.308844+0 8.085257-2 5.370318+0 7.964830-2 5.495409+0 7.729487-2 5.623413+0 7.501099-2 5.688529+0 7.389448-2 6.000000+0 6.893753-2 6.025596+0 6.855634-2 6.165950+0 6.659157-2 6.237348+0 6.563041-2 6.309573+0 6.468323-2 6.382635+0 6.374995-2 6.456542+0 6.283073-2 6.606934+0 6.103190-2 6.760830+0 5.928456-2 6.839116+0 5.842975-2 7.244360+0 5.433704-2 7.498942+0 5.208833-2 7.585776+0 5.135964-2 7.673615+0 5.064122-2 7.762471+0 4.993304-2 7.852356+0 4.923521-2 8.035261+0 4.786870-2 8.222427+0 4.654011-2 8.317638+0 4.588971-2 8.709636+0 4.337775-2 8.810489+0 4.277156-2 9.120108+0 4.104998-2 9.332543+0 3.994094-2 9.440609+0 3.939776-2 9.660509+0 3.833370-2 9.772372+0 3.781280-2 1.011579+1 3.629225-2 1.023293+1 3.579909-2 1.035142+1 3.531265-2 1.083927+1 3.343208-2 1.096478+1 3.299018-2 1.122018+1 3.212392-2 1.148154+1 3.128037-2 1.161449+1 3.086699-2 1.200000+1 2.972428-2 1.202264+1 2.965963-2 1.216186+1 2.926795-2 1.288250+1 2.738585-2 1.303167+1 2.702422-2 1.318257+1 2.666736-2 1.364583+1 2.562482-2 1.380384+1 2.529535-2 1.400000+1 2.489736-2 1.412538+1 2.464913-2 1.428894+1 2.433226-2 1.445440+1 2.401947-2 1.500000+1 2.304008-2 1.531087+1 2.251539-2 1.698244+1 2.004214-2 1.717908+1 1.978469-2 1.757924+1 1.927965-2 1.819701+1 1.854617-2 1.840772+1 1.831289-2 1.862087+1 1.808313-2 1.883649+1 1.785625-2 1.905461+1 1.763222-2 1.972423+1 1.697701-2 2.000000+1 1.672065-2 2.264644+1 1.459183-2 2.290868+1 1.440888-2 2.317395+1 1.422823-2 2.344229+1 1.405286-2 2.371374+1 1.387998-2 2.570396+1 1.272815-2 2.630268+1 1.241709-2 3.273407+1 9.816065-3 3.311311+1 9.695377-3 3.349654+1 9.576440-3 3.507519+1 9.124715-3 3.548134+1 9.015200-3 3.589219+1 8.907000-3 5.069907+1 6.200342-3 5.128614+1 6.125926-3 5.188000+1 6.052404-3 5.248075+1 5.979876-3 5.559043+1 5.634978-3 5.623413+1 5.568444-3 5.688529+1 5.502696-3 8.317638+1 3.718370-3 8.413951+1 3.674468-3 8.511380+1 3.631137-3 8.609938+1 3.588326-3 9.225714+1 3.344580-3 9.440609+1 3.267087-3 9.549926+1 3.229016-3 1.621810+2 1.883266-3 1.640590+2 1.861321-3 1.659587+2 1.839651-3 1.678804+2 1.818233-3 1.698244+2 1.797067-3 1.717908+2 1.776311-3 1.840772+2 1.656717-3 1.883649+2 1.618676-3 1.905461+2 1.599984-3 3.235937+2 9.377407-4 3.273407+2 9.269122-4 3.311311+2 9.162142-4 3.349654+2 9.056396-4 3.388442+2 8.951877-4 3.427678+2 8.849027-4 3.672823+2 8.256293-4 3.758374+2 8.067690-4 3.801894+2 7.975011-4 1.288250+3 2.343331-4 1.303167+3 2.316412-4 1.318257+3 2.289810-4 1.333521+3 2.263515-4 1.348963+3 2.237521-4 1.364583+3 2.211898-4 1.462177+3 2.064208-4 1.496236+3 2.017204-4 1.513561+3 1.994106-4 1.000000+5 3.013992-6 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.140000-6 5.140000-6 5.340000-6 5.140000-6 5.340000-6 5.269044-6 5.580000-6 5.281688-6 5.580000-6 5.366995-6 6.700000-6 5.408690-6 9.225714-6 5.431119-6 2.559000-5 5.432612-6 2.559000-5 2.160763-5 2.786121-5 2.159221-5 2.833000-5 2.157207-5 2.833000-5 2.389978-5 3.198895-5 2.390558-5 4.365000-5 2.368556-5 4.365000-5 2.423508-5 4.841724-5 2.460142-5 5.400000-5 2.523677-5 6.918310-5 2.737835-5 7.585776-5 2.818534-5 8.317638-5 2.887357-5 9.150000-5 2.942327-5 1.011579-4 2.982370-5 1.122018-4 3.007002-5 1.137600-4 3.009227-5 1.137600-4 4.969624-5 1.168300-4 5.234466-5 1.168300-4 5.448144-5 1.190000-4 5.566242-5 1.210000-4 5.635861-5 1.232000-4 5.670721-5 1.262300-4 5.669316-5 1.307000-4 5.614083-5 1.369600-4 5.493348-5 1.472000-4 5.246103-5 1.540000-4 5.085360-5 1.585000-4 5.001777-5 1.630000-4 4.945921-5 1.680000-4 4.916955-5 1.740000-4 4.925453-5 1.805000-4 4.972163-5 2.070700-4 5.257597-5 2.070700-4 6.334787-5 2.247300-4 6.360634-5 2.247300-4 6.724994-5 2.791300-4 6.701985-5 2.791300-4 7.155557-5 3.350000-4 7.126050-5 4.623810-4 7.142546-5 8.472800-4 7.306688-5 8.472800-4 1.189804-4 8.620000-4 1.219132-4 8.649600-4 1.223545-4 8.649600-4 1.274663-4 8.757200-4 1.282057-4 9.050000-4 1.287157-4 1.122700-3 1.278714-4 1.122700-3 1.394801-4 1.204800-3 1.402194-4 1.204800-3 1.447392-4 1.310000-3 1.462424-4 1.350400-3 1.466929-4 1.350400-3 1.521652-4 1.757924-3 1.575427-4 2.264644-3 1.629778-4 2.818383-3 1.678388-4 3.548134-3 1.730013-4 4.466836-3 1.781575-4 5.483800-3 1.826569-4 5.483800-3 2.565730-4 5.902500-3 2.574744-4 5.902500-3 2.717944-4 6.241800-3 2.722697-4 6.241800-3 2.847867-4 9.015711-3 2.901784-4 1.350000-2 2.960578-4 1.972423-2 3.016120-4 2.917427-2 3.072574-4 3.894300-2 3.112097-4 3.894300-2 3.106051-4 1.011580-1 3.121595-4 4.120975-1 3.131624-4 1.000000+5 3.133467-4 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.140000-6 0.0 1.168300-4 0.0 1.168300-4 5.169499-9 1.169700-4 5.167264-9 1.175000-4 5.198813-9 1.180000-4 5.264242-9 1.187000-4 5.405721-9 1.190000-4 5.477472-9 1.195000-4 5.613767-9 1.200000-4 5.768797-9 1.221000-4 6.476242-9 1.227000-4 6.665150-9 1.238000-4 6.966367-9 1.244515-4 7.110501-9 1.249000-4 7.201329-9 1.260000-4 7.371676-9 1.267000-4 7.447524-9 1.275000-4 7.508747-9 1.283000-4 7.551768-9 1.300000-4 7.580282-9 1.322000-4 7.546658-9 1.350000-4 7.437970-9 1.369600-4 7.339898-9 1.400000-4 7.163940-9 1.445440-4 6.841838-9 1.472000-4 6.630722-9 1.540000-4 6.044522-9 1.560000-4 5.880290-9 1.585000-4 5.694241-9 1.603245-4 5.567175-9 1.621810-4 5.450457-9 1.640590-4 5.346083-9 1.660000-4 5.255682-9 1.680000-4 5.179482-9 1.698244-4 5.124644-9 1.720000-4 5.076967-9 1.740000-4 5.048765-9 1.760000-4 5.034243-9 1.780000-4 5.030349-9 1.805000-4 5.042829-9 1.840772-4 5.085501-9 1.905461-4 5.208298-9 2.070700-4 5.615410-9 2.070700-4 8.016417-9 2.247300-4 8.122997-9 2.247300-4 9.433188-9 2.511886-4 9.433087-9 2.791300-4 9.469299-9 2.791300-4 1.034121-8 3.280000-4 1.035841-8 5.888437-4 1.071163-8 8.472800-4 1.105794-8 8.472800-4 1.311163-8 8.649600-4 1.326801-8 8.649600-4 1.133168-7 8.680000-4 1.132920-7 8.700000-4 1.135341-7 8.757200-4 1.148662-7 8.835000-4 1.180998-7 8.890000-4 1.210194-7 8.950000-4 1.236370-7 8.980000-4 1.247190-7 9.100000-4 1.274959-7 9.150000-4 1.281685-7 9.650000-4 1.275348-7 1.011579-3 1.277602-7 1.122700-3 1.271284-7 1.122700-3 2.018815-7 1.204800-3 2.076386-7 1.204800-3 2.534878-7 1.238000-3 2.591351-7 1.310000-3 2.672139-7 1.350400-3 2.711898-7 1.350400-3 3.125360-7 1.445440-3 3.246961-7 1.698244-3 3.526514-7 1.972423-3 3.796111-7 2.238721-3 4.028802-7 2.540973-3 4.268185-7 2.900000-3 4.513699-7 3.311311-3 4.763913-7 3.845918-3 5.041487-7 4.415704-3 5.293949-7 4.954502-3 5.501889-7 5.483800-3 5.681850-7 5.483800-3 3.651253-4 5.623413-3 3.666462-4 5.902500-3 3.669059-4 5.902500-3 4.562827-4 6.237348-3 4.574964-4 6.241800-3 4.574983-4 6.241800-3 4.811194-4 8.222426-3 4.855889-4 1.288400-2 4.902136-4 2.264644-2 4.940421-4 3.894300-2 4.968714-4 3.894300-2 2.635705-2 4.623810-2 2.656096-2 6.000000-2 2.680296-2 8.709636-2 2.701468-2 1.445440-1 2.716814-2 3.715352-1 2.726526-2 1.109175+0 2.735858-2 1.000000+5 2.735817-2 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.140000-6 0.0 5.340000-6 2.000000-7 5.340000-6 7.095556-8 5.580000-6 2.983117-7 5.580000-6 2.130047-7 5.850000-6 4.686888-7 6.100000-6 7.082991-7 6.456542-6 1.053616-6 7.244360-6 1.826449-6 9.225714-6 3.794595-6 2.559000-5 2.015739-5 2.559000-5 3.982368-6 2.620000-5 4.579394-6 2.691535-5 5.298958-6 2.833000-5 6.757931-6 2.833000-5 4.430220-6 2.940000-5 5.475696-6 3.162278-5 7.712609-6 4.220000-5 1.850047-5 4.365000-5 1.996444-5 4.365000-5 1.941492-5 4.731513-5 2.281455-5 5.150000-5 2.657084-5 5.900000-5 3.307662-5 7.161434-5 4.392058-5 8.150000-5 5.276238-5 9.332543-5 6.381051-5 1.110000-4 8.094823-5 1.137600-4 8.366773-5 1.137600-4 6.406376-5 1.168300-4 6.448534-5 1.168300-4 6.234339-5 1.190000-4 6.333210-5 1.210000-4 6.463529-5 1.232000-4 6.648598-5 1.265000-4 6.981776-5 1.322000-4 7.631046-5 1.412538-4 8.730052-5 1.550000-4 1.043477-4 1.621810-4 1.126412-4 1.698244-4 1.206680-4 1.805000-4 1.307733-4 2.070700-4 1.544884-4 2.070700-4 1.437141-4 2.247300-4 1.611155-4 2.247300-4 1.574706-4 2.791300-4 2.121007-4 2.791300-4 2.075641-4 4.623810-4 3.909450-4 8.472800-4 7.742021-4 8.472800-4 7.282865-4 8.649600-4 7.425922-4 8.649600-4 7.373803-4 9.225714-4 7.937515-4 1.122700-3 9.947015-4 1.122700-3 9.830180-4 1.204800-3 1.064373-3 1.204800-3 1.059807-3 1.350400-3 1.203436-3 1.350400-3 1.197922-3 3.400000-3 3.227458-3 5.483800-3 5.300575-3 5.483800-3 4.862102-3 5.902500-3 5.278120-3 5.902500-3 5.174423-3 6.241800-3 5.512032-3 6.241800-3 5.475894-3 3.894300-2 3.813492-2 3.894300-2 1.227535-2 4.027170-2 1.354642-2 4.954502-2 2.259892-2 6.683439-2 3.965023-2 1.318257-1 1.043655-1 1.000000+5 9.999997+4 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 3.894300-2 5.134802+3 3.927000-2 5.043800+3 4.027170-2 4.731944+3 4.168694-2 4.322774+3 4.265795-2 4.086357+3 4.677351-2 3.209025+3 5.248075-2 2.381537+3 5.888437-2 1.752819+3 7.300000-2 9.800400+2 9.120108-2 5.305220+2 1.188502-1 2.528302+2 2.089296-1 5.144914+1 2.540973-1 2.979240+1 3.000060-1 1.887202+1 3.467369-1 1.277458+1 3.935501-1 9.144727+0 4.415705-1 6.792493+0 4.954502-1 5.080714+0 5.495409-1 3.938899+0 6.095369-1 3.074096+0 6.683439-1 2.481012+0 7.413102-1 1.964977+0 8.222427-1 1.566901+0 9.440609-1 1.168937+0 1.023293+0 9.919983-1 1.161449+0 7.728980-1 1.288250+0 6.340306-1 1.445440+0 5.125700-1 1.640590+0 4.088003-1 1.862087+0 3.285609-1 2.113489+0 2.660593-1 2.398833+0 2.171105-1 2.754229+0 1.753378-1 3.198895+0 1.402394-1 3.715352+0 1.130193-1 4.315191+0 9.176934-2 5.069907+0 7.388198-2 6.025596+0 5.899502-2 7.244360+0 4.675865-2 8.810489+0 3.680611-2 1.083927+1 2.876925-2 1.364583+1 2.205100-2 1.819701+1 1.595936-2 2.317395+1 1.224371-2 3.349654+1 8.240826-3 5.248075+1 5.145909-3 8.609938+1 3.087872-3 1.698244+2 1.546437-3 3.388442+2 7.703457-4 1.348963+3 1.925488-4 1.000000+5 2.593700-6 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 3.894300-2 3.104800-4 1.000000+5 3.104800-4 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.894300-2 3.171000-2 1.000000+5 3.171000-2 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 3.894300-2 6.922520-3 1.000000+5 9.999997+4 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 6.241800-3 2.013109+4 6.400000-3 1.927957+4 6.500000-3 1.881192+4 6.650000-3 1.806958+4 6.918310-3 1.697389+4 7.500000-3 1.472244+4 8.128305-3 1.282765+4 8.709636-3 1.130413+4 1.011579-2 8.553957+3 1.273503-2 5.449111+3 1.412538-2 4.409768+3 1.640590-2 3.230625+3 1.905461-2 2.341066+3 2.137962-2 1.817829+3 2.511886-2 1.264424+3 2.951209-2 8.709372+2 3.427678-2 6.110605+2 3.981072-2 4.255273+2 4.623810-2 2.942096+2 5.370318-2 2.020313+2 6.309573-2 1.338209+2 7.500000-2 8.538660+1 9.015711-2 5.250260+1 1.122019-1 2.921287+1 1.348963-1 1.772188+1 2.238721-1 4.442438+0 2.851018-1 2.312366+0 3.349654-1 1.506634+0 3.845918-1 1.050724+0 4.365158-1 7.603643-1 4.954502-1 5.543728-1 5.559043-1 4.189767-1 6.237348-1 3.191346-1 6.918310-1 2.514766-1 7.673615-1 1.994833-1 8.511380-1 1.592097-1 9.332543-1 1.311652-1 1.023293+0 1.088457-1 1.174898+0 8.297655-2 1.303167+0 6.810458-2 1.462177+0 5.506940-2 1.640590+0 4.483646-2 1.862087+0 3.603542-2 2.113489+0 2.918286-2 2.398833+0 2.381366-2 2.754229+0 1.922971-2 3.198895+0 1.537875-2 3.715352+0 1.239347-2 4.315191+0 1.006332-2 5.069907+0 8.102035-3 6.025596+0 6.469480-3 7.244360+0 5.127637-3 8.810489+0 4.036302-3 1.083927+1 3.154862-3 1.364583+1 2.418094-3 1.840772+1 1.727904-3 2.344229+1 1.326119-3 3.311311+1 9.148397-4 5.188000+1 5.711108-4 8.413951+1 3.467075-4 1.640590+2 1.756237-4 3.273407+2 8.746764-5 1.303167+3 2.185866-5 1.000000+5 2.844300-7 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 6.241800-3 3.662500-4 1.000000+5 3.662500-4 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 6.241800-3 6.348500-4 1.000000+5 6.348500-4 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 6.241800-3 5.240700-3 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 5.902500-3 4.034134+4 5.985000-3 3.934844+4 6.100000-3 3.775500+4 6.456542-3 3.272200+4 7.585776-3 2.140400+4 8.511380-3 1.563200+4 1.011579-2 9.661700+3 1.135011-2 6.992100+3 1.396368-2 3.835100+3 1.580000-2 2.661000+3 1.819701-2 1.744500+3 2.213095-2 9.612300+2 2.691535-2 5.242800+2 3.300000-2 2.761500+2 4.000000-2 1.496000+2 4.954502-2 7.510200+1 6.683439-2 2.837522+1 1.202264-1 4.163995+0 1.500000-1 2.033776+0 1.819701-1 1.095648+0 2.137962-1 6.584768-1 2.483133-1 4.134958-1 2.851018-1 2.711805-1 3.235937-1 1.855596-1 3.630781-1 1.323151-1 4.073803-1 9.501525-2 4.570882-1 6.874869-2 5.069907-1 5.173452-2 5.623413-1 3.920101-2 6.237348-1 2.992363-2 6.839117-1 2.370065-2 7.585776-1 1.838253-2 8.413951-1 1.436278-2 9.440609-1 1.098136-2 1.000000+0 9.662010-3 1.071519+0 8.357037-3 1.148154+0 7.278787-3 1.250000+0 6.189555-3 1.380384+0 5.163838-3 1.717908+0 3.511539-3 1.949845+0 2.828288-3 2.187762+0 2.339710-3 2.483133+0 1.913165-3 2.851018+0 1.548145-3 3.311311+0 1.240408-3 3.845918+0 1.001423-3 4.466836+0 8.144914-4 5.308844+0 6.468405-4 6.309573+0 5.174939-4 7.673615+0 4.051030-4 9.440609+0 3.151676-4 1.161449+1 2.469381-4 1.445440+1 1.921772-4 1.905461+1 1.411045-4 2.371374+1 1.111098-4 3.349654+1 7.666468-5 5.248075+1 4.787337-5 8.511380+1 2.906805-5 1.678804+2 1.455571-5 3.349654+2 7.250184-6 1.333521+3 1.812133-6 1.000000+5 2.413000-8 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 5.902500-3 3.110800-4 1.000000+5 3.110800-4 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.902500-3 7.014800-4 1.000000+5 7.014800-4 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 5.902500-3 4.889940-3 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 5.483800-3 8.692863+4 5.575000-3 8.416698+4 5.700000-3 7.976360+4 6.000000-3 6.974840+4 6.918310-3 4.737518+4 7.673615-3 3.544630+4 9.015711-3 2.235014+4 1.059254-2 1.402755+4 1.288400-2 7.822701+3 1.428894-2 5.715317+3 1.698244-2 3.359523+3 2.041738-2 1.885643+3 2.454709-2 1.047765+3 2.951209-2 5.767473+2 3.548134-2 3.147842+2 4.265795-2 1.704823+2 5.188000-2 8.823264+1 6.531306-2 4.035241+1 1.288250-1 3.940255+0 1.603245-1 1.874058+0 1.883649-1 1.091170+0 2.162719-1 6.909157-1 2.483133-1 4.406739-1 2.786121-1 3.049712-1 3.126079-1 2.125732-1 3.467369-1 1.546940-1 3.845918-1 1.133803-1 4.265795-1 8.373340-2 4.677351-1 6.440280-2 5.128614-1 4.987179-2 5.623413-1 3.888762-2 6.165950-1 3.054458-2 6.760830-1 2.417464-2 7.413102-1 1.927245-2 8.413951-1 1.425195-2 9.015711-1 1.215430-2 9.660509-1 1.043504-2 1.035142+0 9.029036-3 1.135011+0 7.504377-3 1.250000+0 6.231575-3 1.380384+0 5.190532-3 1.659587+0 3.741215-3 1.883649+0 3.007800-3 2.113489+0 2.483090-3 2.398833+0 2.026149-3 2.754229+0 1.636219-3 3.198895+0 1.308623-3 3.715352+0 1.054604-3 4.315191+0 8.563191-4 5.069907+0 6.894176-4 6.025596+0 5.504960-4 7.244360+0 4.363137-4 8.810489+0 3.434493-4 1.083927+1 2.684531-4 1.364583+1 2.057647-4 1.819701+1 1.489133-4 2.344229+1 1.128360-4 3.349654+1 7.689597-5 5.248075+1 4.801797-5 8.511380+1 2.915530-5 1.678804+2 1.459960-5 3.349654+2 7.272076-6 1.333521+3 1.817555-6 1.000000+5 2.420300-8 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 5.483800-3 2.955700-4 1.000000+5 2.955700-4 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.483800-3 5.574600-4 1.000000+5 5.574600-4 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.483800-3 4.630770-3 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.350400-3 5.884489+4 1.430000-3 5.571080+4 1.548817-3 5.016049+4 1.630000-3 4.699060+4 1.737801-3 4.292129+4 2.238721-3 2.954913+4 2.400000-3 2.650340+4 2.951209-3 1.892863+4 3.300000-3 1.564910+4 3.845918-3 1.198940+4 4.623810-3 8.598637+3 5.300000-3 6.674160+3 6.095369-3 5.121490+3 7.244360-3 3.662495+3 8.709636-3 2.537517+3 1.035142-2 1.783676+3 1.230000-2 1.244072+3 1.445440-2 8.813479+2 1.678804-2 6.359251+2 1.950000-2 4.557900+2 2.300000-2 3.133600+2 2.691535-2 2.176888+2 3.162278-2 1.487331+2 3.715352-2 1.008752+2 4.365158-2 6.790283+1 5.128614-2 4.539044+1 6.095369-2 2.925207+1 7.244360-2 1.871261+1 8.709636-2 1.153366+1 1.071519-1 6.637056+0 1.380384-1 3.348419+0 2.454709-1 7.002613-1 2.951209-1 4.271582-1 3.467369-1 2.790726-1 4.000000-1 1.927416-1 4.518559-1 1.414882-1 5.069907-1 1.063588-1 5.688529-1 8.053466-2 6.309573-1 6.311263-2 6.998420-1 4.978317-2 7.762471-1 3.952946-2 8.709636-1 3.081045-2 9.549926-1 2.541858-2 1.059254+0 2.064683-2 1.202264+0 1.612369-2 1.348963+0 1.297207-2 1.513561+0 1.051148-2 1.717908+0 8.406110-3 1.949845+0 6.774708-3 2.213095+0 5.501172-3 2.511886+0 4.500882-3 2.884032+0 3.644062-3 3.349654+0 2.921243-3 3.890451+0 2.359775-3 4.518559+0 1.920315-3 5.370318+0 1.525810-3 6.382635+0 1.221242-3 7.762471+0 9.564740-4 9.660509+0 7.342967-4 1.202264+1 5.681671-4 1.500000+1 4.413400-4 1.972423+1 3.252897-4 2.570396+1 2.438046-4 3.507519+1 1.748582-4 5.559043+1 1.079866-4 9.225714+1 6.409785-5 1.840772+2 3.175414-5 3.672823+2 1.582489-5 1.462177+3 3.957267-6 1.000000+5 5.778400-8 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.350400-3 2.754600-4 1.000000+5 2.754600-4 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.350400-3 1.244100-6 1.000000+5 1.244100-6 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.350400-3 1.073696-3 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.204800-3 8.917946+4 1.220000-3 9.053288+4 1.238000-3 9.120118+4 1.245000-3 9.119883+4 1.255000-3 9.074595+4 1.310000-3 8.732280+4 1.412538-3 8.060512+4 1.500000-3 7.494460+4 1.659587-3 6.553068+4 1.778279-3 5.952241+4 1.905461-3 5.380725+4 2.041738-3 4.836213+4 2.187762-3 4.317011+4 2.511886-3 3.407928+4 2.691535-3 3.010704+4 3.019952-3 2.423693+4 3.311311-3 2.027621+4 3.650000-3 1.665482+4 4.120975-3 1.294177+4 4.570882-3 1.034915+4 5.128614-3 8.019780+3 5.754399-3 6.163218+3 6.382635-3 4.835102+3 7.244360-3 3.564395+3 8.128305-3 2.682370+3 9.225714-3 1.947625+3 1.047129-2 1.403339+3 1.188502-2 1.003749+3 1.350000-2 7.113600+2 1.531087-2 5.027997+2 1.737801-2 3.522835+2 1.972423-2 2.452743+2 2.264644-2 1.641376+2 2.650000-2 1.031012+2 3.090295-2 6.492119+1 3.630781-2 3.967492+1 4.315191-2 2.323447+1 5.248075-2 1.256838+1 6.606934-2 6.047570+0 1.364583-1 5.894875-1 1.698244-1 2.938263-1 2.000000-1 1.756420-1 2.454709-1 9.334911-2 2.818383-1 6.135407-2 3.198895-1 4.204534-2 3.589219-1 3.001443-2 4.027170-1 2.157874-2 4.518559-1 1.564086-2 5.069907-1 1.142516-2 5.623413-1 8.669502-3 6.237348-1 6.625107-3 6.918310-1 5.101167-3 7.673615-1 3.957817-3 8.709636-1 2.922125-3 9.332543-1 2.493466-3 9.885531-1 2.197970-3 1.071519+0 1.859676-3 1.161449+0 1.584336-3 1.258925+0 1.358167-3 1.396368+0 1.123725-3 1.698244+0 7.949669-4 1.927525+0 6.399059-4 2.162719+0 5.290187-4 2.454709+0 4.322622-4 2.818383+0 3.495184-4 3.273407+0 2.798600-4 3.801894+0 2.258052-4 4.415704+0 1.835561-4 5.248075+0 1.456977-4 6.237348+0 1.165063-4 7.585776+0 9.116205-5 9.332543+0 7.089386-5 1.148154+1 5.552340-5 1.428894+1 4.319629-5 1.905461+1 3.130524-5 2.371374+1 2.465104-5 3.349654+1 1.700821-5 5.248075+1 1.062088-5 8.609938+1 6.373315-6 1.717908+2 3.154886-6 3.427678+2 1.571625-6 1.364583+3 3.928712-7 1.000000+5 5.353400-9 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.204800-3 2.259200-4 1.000000+5 2.259200-4 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.204800-3 1.077000-6 1.000000+5 1.077000-6 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.204800-3 9.778030-4 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.122700-3 2.366900+5 1.170000-3 2.278289+5 1.230269-3 2.152414+5 1.333521-3 1.942645+5 1.412538-3 1.791259+5 1.566751-3 1.534237+5 1.717908-3 1.329360+5 1.862087-3 1.165021+5 2.000000-3 1.030296+5 2.344229-3 7.716654+4 2.540973-3 6.627549+4 2.818383-3 5.397159+4 3.162278-3 4.270839+4 3.467369-3 3.515088+4 3.935501-3 2.669846+4 4.365158-3 2.115651+4 4.897788-3 1.622935+4 5.522000-3 1.221074+4 6.165950-3 9.337757+3 7.000000-3 6.803920+3 7.943282-3 4.922589+3 9.000000-3 3.547848+3 1.011579-2 2.594107+3 1.148154-2 1.834596+3 1.303167-2 1.288049+3 1.479108-2 8.978491+2 1.698244-2 6.008506+2 1.927525-2 4.129000+2 2.213095-2 2.722844+2 2.570396-2 1.720188+2 2.951209-2 1.118006+2 3.427678-2 6.961657+1 4.027170-2 4.147512+1 4.786301-2 2.362404+1 5.754399-2 1.286238+1 7.161434-2 6.196223+0 1.023293-1 1.861339+0 1.396368-1 6.511351-1 1.698244-1 3.382506-1 2.018366-1 1.911905-1 2.317395-1 1.218649-1 2.630268-1 8.120489-2 2.951209-1 5.652659-2 3.311311-1 3.965290-2 3.672823-1 2.901710-2 4.073803-1 2.137841-2 4.518559-1 1.586296-2 4.954502-1 1.225164-2 5.432503-1 9.532379-3 5.956621-1 7.470707-3 6.531306-1 5.899667-3 7.161434-1 4.693446-3 7.852356-1 3.760871-3 8.609938-1 3.026725-3 9.225714-1 2.587144-3 9.885531-1 2.227138-3 1.071519+0 1.886969-3 1.174898+0 1.572818-3 1.288250+0 1.320657-3 1.428894+0 1.093559-3 1.698244+0 8.056432-4 1.927525+0 6.485556-4 2.162719+0 5.361691-4 2.454709+0 4.381014-4 2.818383+0 3.542399-4 3.273407+0 2.836400-4 3.801894+0 2.288545-4 4.415704+0 1.860356-4 5.248075+0 1.476696-4 6.237348+0 1.180844-4 7.585776+0 9.239328-5 9.332543+0 7.185239-5 1.148154+1 5.627453-5 1.412538+1 4.435578-5 1.883649+1 3.213400-5 2.371374+1 2.498444-5 3.349654+1 1.723894-5 5.248075+1 1.076447-5 8.609938+1 6.459499-6 1.717908+2 3.197535-6 3.427678+2 1.592885-6 1.364583+3 3.981835-7 1.000000+5 5.425800-9 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.122700-3 2.192200-4 1.000000+5 2.192200-4 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.122700-3 7.153600-7 1.000000+5 7.153600-7 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.122700-3 9.027646-4 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 8.649600-4 7.454674+5 8.890000-4 8.338168+5 8.950000-4 8.502721+5 8.980000-4 8.559363+5 9.050000-4 8.602243+5 9.100000-4 8.609326+5 9.150000-4 8.575688+5 9.440609-4 7.948033+5 9.650000-4 7.519960+5 1.110000-3 5.484120+5 1.174898-3 4.802304+5 1.273503-3 3.947058+5 1.380384-3 3.220754+5 1.513561-3 2.532587+5 1.659587-3 1.976569+5 1.850000-3 1.465304+5 2.041738-3 1.105369+5 2.300000-3 7.823400+4 2.570396-3 5.612543+4 2.900000-3 3.890688+4 3.273407-3 2.667686+4 3.650000-3 1.889732+4 4.216965-3 1.183745+4 4.677351-3 8.403912+3 5.300000-3 5.522480+3 6.095369-3 3.420637+3 7.000000-3 2.110344+3 7.943282-3 1.347408+3 9.000000-3 8.591400+2 1.023293-2 5.372479+2 1.174898-2 3.216325+2 1.333521-2 1.995743+2 1.531087-2 1.177380+2 1.778279-2 6.595779+1 2.089296-2 3.504619+1 2.483133-2 1.765197+1 2.985383-2 8.422247+0 3.672823-2 3.632593+0 4.677351-2 1.350244+0 8.128305-2 1.392565-1 1.011580-1 5.702404-2 1.216186-1 2.706934-2 1.428894-1 1.420492-2 1.659587-1 7.864692-3 1.905461-1 4.591395-3 2.187762-1 2.701140-3 2.454709-1 1.748052-3 2.722701-1 1.189176-3 3.019952-1 8.145760-4 3.349654-1 5.626568-4 3.715352-1 3.915142-4 4.120975-1 2.744679-4 4.570882-1 1.938705-4 5.069907-1 1.379591-4 5.559043-1 1.025735-4 6.165950-1 7.407562-5 6.683439-1 5.786826-5 7.161434-1 4.710662-5 7.673615-1 3.859731-5 8.511380-1 2.888272-5 9.015711-1 2.471119-5 9.440609-1 2.192223-5 9.885531-1 1.956287-5 1.035142+0 1.758171-5 1.083927+0 1.590917-5 1.148154+0 1.415460-5 1.216186+0 1.268525-5 1.318257+0 1.096352-5 1.531087+0 8.471202-6 1.819701+0 6.265720-6 2.041738+0 5.158866-6 2.317395+0 4.200797-6 2.630268+0 3.445808-6 3.019952+0 2.796744-6 3.507519+0 2.247134-6 4.073803+0 1.819437-6 4.786301+0 1.461016-6 5.688529+0 1.163816-6 6.839116+0 9.202634-7 8.317638+0 7.227371-7 1.035142+1 5.562355-7 1.318257+1 4.200822-7 1.757924+1 3.037389-7 2.290868+1 2.270600-7 3.273407+1 1.546772-7 5.128614+1 9.653902-8 8.317638+1 5.859542-8 1.640590+2 2.933344-8 3.273407+2 1.460928-8 1.303167+3 3.650888-9 1.000000+5 4.75060-11 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 8.649600-4 1.400600-4 1.000000+5 1.400600-4 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 8.649600-4 3.598000-7 1.000000+5 3.598000-7 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 8.649600-4 7.245402-4 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 8.472800-4 1.090700+6 8.580000-4 1.243003+6 8.620000-4 1.297291+6 8.658000-4 1.341564+6 8.680000-4 1.362242+6 8.700000-4 1.375636+6 8.757200-4 1.396971+6 8.835000-4 1.388652+6 1.011579-3 9.899148+5 1.083927-3 8.466163+5 1.161449-3 7.191420+5 1.244515-3 6.069846+5 1.350000-3 4.936950+5 1.479108-3 3.883185+5 1.621810-3 3.026769+5 1.800000-3 2.269350+5 1.972423-3 1.745801+5 2.238721-3 1.206894+5 2.454709-3 9.159392+4 2.818383-3 6.009437+4 3.162278-3 4.193082+4 3.548134-3 2.906489+4 4.027170-3 1.925584+4 4.518559-3 1.314521+4 5.069907-3 8.912935+3 5.754399-3 5.768546+3 6.531306-3 3.704567+3 7.413102-3 2.361407+3 8.317638-3 1.558370+3 9.332543-3 1.022368+3 1.059254-2 6.387035+2 1.202264-2 3.962449+2 1.364583-2 2.441326+2 1.548817-2 1.494383+2 1.778279-2 8.687524+1 2.065380-2 4.790729+1 2.454709-2 2.389522+1 2.917427-2 1.181788+1 3.507519-2 5.532935+0 4.315191-2 2.337111+0 8.413951-2 1.422744-1 1.035142-1 6.005496-2 1.216186-1 3.090100-2 1.412538-1 1.679498-2 1.621810-1 9.640001-3 1.819701-1 6.110548-3 2.041738-1 3.901270-3 2.264644-1 2.623366-3 2.511886-1 1.776383-3 2.786121-1 1.211831-3 3.054921-1 8.683354-4 3.349654-1 6.263266-4 3.672823-1 4.550830-4 4.000000-1 3.409291-4 4.365158-1 2.556221-4 4.731513-1 1.974274-4 5.128614-1 1.536369-4 5.559043-1 1.205139-4 6.000000-1 9.645797-5 6.456542-1 7.860632-5 6.998420-1 6.321792-5 8.035261-1 4.403017-5 8.609938-1 3.657062-5 9.120108-1 3.150532-5 9.549926-1 2.810867-5 1.000000+0 2.522384-5 1.059254+0 2.222276-5 1.122018+0 1.972675-5 1.188502+0 1.762304-5 1.273503+0 1.549609-5 1.396368+0 1.316039-5 1.531087+0 1.122593-5 1.798871+0 8.469063-6 2.018366+0 6.969358-6 2.290868+0 5.671664-6 2.600160+0 4.649610-6 3.000000+0 3.744400-6 3.467369+0 3.028722-6 4.027170+0 2.450831-6 4.731513+0 1.966941-6 5.623413+0 1.566010-6 6.760830+0 1.237758-6 8.222427+0 9.715842-7 1.035142+1 7.373875-7 1.318257+1 5.568951-7 1.757924+1 4.026599-7 2.290868+1 3.010064-7 3.311311+1 2.025493-7 5.188000+1 1.264551-7 8.413951+1 7.676756-8 1.659587+2 3.843570-8 3.311311+2 1.914365-8 1.318257+3 4.784421-9 1.000000+5 6.29780-11 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 8.472800-4 1.410100-4 1.000000+5 1.410100-4 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 8.472800-4 1.409700-8 1.000000+5 1.409700-8 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 8.472800-4 7.062559-4 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 2.791300-4 1.381400+5 3.000000-4 1.320610+5 3.235937-4 1.250736+5 3.507519-4 1.171564+5 3.758374-4 1.101310+5 4.073803-4 1.019568+5 4.897788-4 8.318345+4 5.300000-4 7.571100+4 6.025596-4 6.420959+4 6.700000-4 5.575320+4 7.500000-4 4.756840+4 8.609938-4 3.889963+4 9.885531-4 3.152072+4 1.122018-3 2.584721+4 1.333521-3 1.953550+4 1.603245-3 1.435298+4 1.927525-3 1.045219+4 2.344229-3 7.400208+3 2.884032-3 5.089032+3 3.548134-3 3.471230+3 4.315191-3 2.400823+3 5.248075-3 1.648306+3 6.309573-3 1.148387+3 7.585776-3 7.939287+2 9.120108-3 5.445268+2 1.096478-2 3.704828+2 1.303167-2 2.563410+2 1.548817-2 1.760699+2 1.840772-2 1.200169+2 2.162719-2 8.332335+1 2.540973-2 5.743620+1 3.000000-2 3.886000+1 3.548134-2 2.597825+1 4.216965-2 1.702866+1 5.011872-2 1.107471+1 6.000000-2 7.012864+0 7.161434-2 4.441430+0 8.413951-2 2.911301+0 1.035142-1 1.677190+0 1.348963-1 8.218095-1 2.344229-1 1.828173-1 2.851018-1 1.080389-1 3.388442-1 6.839171-2 3.890451-1 4.776362-2 4.415705-1 3.460473-2 5.011872-1 2.525960-2 5.623413-1 1.911345-2 6.237348-1 1.496809-2 6.918310-1 1.179869-2 7.673615-1 9.361802-3 8.609938-1 7.291225-3 9.440609-1 6.009720-3 1.035142+0 4.989858-3 1.174898+0 3.891719-3 1.303167+0 3.194385-3 1.462177+0 2.583188-3 1.640590+0 2.103224-3 1.862087+0 1.690342-3 2.113489+0 1.368890-3 2.398833+0 1.117040-3 2.754229+0 9.020294-4 3.198895+0 7.213991-4 3.715352+0 5.813701-4 4.315191+0 4.720645-4 5.069907+0 3.800563-4 6.025596+0 3.034686-4 7.244360+0 2.405306-4 8.810489+0 1.893350-4 1.096478+1 1.460065-4 1.380384+1 1.119585-4 1.840772+1 8.105465-5 2.344229+1 6.220404-5 3.349654+1 4.239081-5 5.248075+1 2.647127-5 8.609938+1 1.588419-5 1.717908+2 7.862828-6 3.427678+2 3.917035-6 1.364583+3 9.791491-7 1.000000+5 1.334200-8 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 2.791300-4 1.207500-4 1.000000+5 1.207500-4 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.791300-4 1.979800-8 1.000000+5 1.979800-8 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.791300-4 1.583602-4 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 2.247300-4 1.107304+5 2.951209-4 1.047438+5 3.235937-4 1.021858+5 3.548134-4 9.890837+4 3.801894-4 9.593093+4 4.100000-4 9.215860+4 4.365158-4 8.855968+4 4.731513-4 8.349764+4 5.150000-4 7.795440+4 5.559043-4 7.275011+4 6.095369-4 6.634897+4 6.700000-4 5.992400+4 7.328245-4 5.398726+4 8.200000-4 4.694300+4 9.015711-4 4.141798+4 1.011579-3 3.526222+4 1.110000-3 3.077960+4 1.258925-3 2.537688+4 1.400000-3 2.140180+4 1.570000-3 1.768788+4 1.778279-3 1.426200+4 2.000000-3 1.155508+4 2.238721-3 9.382778+3 2.540973-3 7.371582+3 2.900000-3 5.684140+3 3.311311-3 4.343196+3 3.758374-3 3.333399+3 4.300000-3 2.495320+3 4.897788-3 1.870426+3 5.500000-3 1.436854+3 6.200000-3 1.086746+3 7.000000-3 8.132240+2 7.852356-3 6.138698+2 8.912509-3 4.471435+2 1.011579-2 3.233607+2 1.148154-2 2.322070+2 1.318257-2 1.605646+2 1.513561-2 1.101528+2 1.737801-2 7.498802+1 2.000000-2 5.033110+1 2.317395-2 3.287299+1 2.691535-2 2.115924+1 3.126079-2 1.352059+1 3.672823-2 8.284136+0 4.365158-2 4.864551+0 5.248075-2 2.736179+0 6.606934-2 1.320507+0 9.332543-2 4.381360-1 1.380384-1 1.251598-1 1.717908-1 6.255346-2 2.065380-1 3.513408-2 2.398833-1 2.212774-2 2.754229-1 1.453810-2 3.126079-1 9.958134-3 3.548134-1 6.870729-3 4.000000-1 4.871301-3 4.466836-1 3.573715-3 5.000000-1 2.623843-3 5.559043-1 1.977144-3 6.165950-1 1.510152-3 6.839117-1 1.162090-3 7.585776-1 9.010607-4 8.609938-1 6.649758-4 9.225714-1 5.668426-4 9.772372-1 4.991103-4 1.047129+0 4.318219-4 1.135011+0 3.672206-4 1.244515+0 3.074776-4 1.364583+0 2.594991-4 1.659587+0 1.833653-4 1.883649+0 1.474085-4 2.113489+0 1.216669-4 2.398833+0 9.926984-5 2.722701+0 8.158726-5 3.162278+0 6.522020-5 3.672823+0 5.252980-5 4.265795+0 4.262920-5 5.011872+0 3.430281-5 6.000000+0 2.712300-5 7.244360+0 2.138066-5 8.709636+0 1.706538-5 1.083927+1 1.315463-5 1.364583+1 1.008300-5 1.819701+1 7.297357-6 2.317395+1 5.598493-6 3.311311+1 3.814416-6 5.188000+1 2.381374-6 8.413951+1 1.445648-6 1.678804+2 7.154189-7 3.349654+2 3.563496-7 1.333521+3 8.906800-8 1.000000+5 1.186000-9 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 2.247300-4 1.089500-4 1.000000+5 1.089500-4 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.247300-4 2.442800-8 1.000000+5 2.442800-8 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.247300-4 1.157556-4 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 2.070700-4 3.421834+5 2.190000-4 3.409157+5 2.270000-4 3.386380+5 2.570396-4 3.242611+5 2.691535-4 3.176733+5 3.054921-4 2.971880+5 3.350000-4 2.806180+5 3.630781-4 2.650237+5 3.890451-4 2.509103+5 4.216965-4 2.335665+5 4.623810-4 2.136149+5 5.011872-4 1.963962+5 5.432503-4 1.793522+5 6.025596-4 1.583895+5 6.606934-4 1.408861+5 7.328245-4 1.225389+5 8.128305-4 1.058577+5 9.120108-4 8.922516+4 1.011579-3 7.599124+4 1.135011-3 6.311726+4 1.273503-3 5.203981+4 1.428894-3 4.261044+4 1.621810-3 3.393768+4 1.850000-3 2.656460+4 2.089296-3 2.102856+4 2.344229-3 1.675055+4 2.650000-3 1.305936+4 3.000000-3 1.008176+4 3.400000-3 7.709600+3 3.845918-3 5.878743+3 4.365158-3 4.416795+3 4.954502-3 3.293333+3 5.623413-3 2.436561+3 6.382635-3 1.788874+3 7.244360-3 1.302696+3 8.222426-3 9.415777+2 9.332543-3 6.754136+2 1.059254-2 4.809340+2 1.202264-2 3.400823+2 1.364583-2 2.388238+2 1.548817-2 1.665608+2 1.778279-2 1.115450+2 2.041738-2 7.412388+1 2.344229-2 4.888529+1 2.691535-2 3.201166+1 3.126079-2 2.008197+1 3.630781-2 1.250474+1 4.265795-2 7.451553+0 5.069907-2 4.246143+0 6.165950-2 2.226253+0 7.762471-2 1.031719+0 1.445440-1 1.272209-1 1.757924-1 6.626984-2 2.089296-1 3.755264-2 2.398833-1 2.399611-2 2.722701-1 1.603020-2 3.054921-1 1.118636-2 3.427678-1 7.865730-3 3.801894-1 5.770082-3 4.168694-1 4.408556-3 4.623810-1 3.281433-3 5.069907-1 2.541450-3 5.559043-1 1.981833-3 6.095369-1 1.556318-3 6.683439-1 1.231188-3 7.328245-1 9.810163-4 8.222427-1 7.451942-4 8.912509-1 6.180083-4 9.549926-1 5.300529-4 1.011579+0 4.691427-4 1.109175+0 3.892032-4 1.216186+0 3.253041-4 1.333521+0 2.739027-4 1.513561+0 2.181731-4 1.737801+0 1.711080-4 1.972423+0 1.379286-4 2.213095+0 1.141599-4 2.511886+0 9.340159-5 2.884032+0 7.562736-5 3.349654+0 6.062746-5 3.890451+0 4.897424-5 4.518559+0 3.985378-5 5.370318+0 3.166677-5 6.382635+0 2.534667-5 7.762471+0 1.985107-5 9.660509+0 1.523982-5 1.200000+1 1.181800-5 1.500000+1 9.159600-6 1.972423+1 6.751196-6 2.570396+1 5.059942-6 3.548134+1 3.585243-6 5.623413+1 2.214600-6 9.440609+1 1.299323-6 1.883649+2 6.438562-7 3.758374+2 3.209069-7 1.496236+3 8.025855-8 1.000000+5 1.199300-9 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 2.070700-4 8.975300-5 1.000000+5 8.975300-5 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.070700-4 1.390200-8 1.000000+5 1.390200-8 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.070700-4 1.173031-4 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.168300-4 4.759560+5 1.169700-4 4.808320+5 1.174898-4 5.046074+5 1.180000-4 5.325000+5 1.187000-4 5.770800+5 1.202264-4 6.905223+5 1.209500-4 7.461600+5 1.215000-4 7.865000+5 1.221000-4 8.268720+5 1.227000-4 8.622440+5 1.232000-4 8.871720+5 1.238000-4 9.110640+5 1.243000-4 9.258360+5 1.249000-4 9.375320+5 1.254500-4 9.427680+5 1.260000-4 9.431640+5 1.267000-4 9.378080+5 1.275000-4 9.247840+5 1.283000-4 9.062480+5 1.290000-4 8.867760+5 1.300000-4 8.553560+5 1.311000-4 8.181440+5 1.322000-4 7.798000+5 1.340000-4 7.176520+5 1.365000-4 6.363320+5 1.400000-4 5.355040+5 1.490000-4 3.448944+5 1.520000-4 3.012368+5 1.540000-4 2.769468+5 1.560000-4 2.561512+5 1.580000-4 2.385304+5 1.600000-4 2.237648+5 1.620000-4 2.115564+5 1.640590-4 2.013542+5 1.660000-4 1.936920+5 1.680000-4 1.875544+5 1.698244-4 1.833346+5 1.720000-4 1.798340+5 1.740000-4 1.778992+5 1.760000-4 1.770408+5 1.780000-4 1.771256+5 1.805000-4 1.783756+5 1.835000-4 1.812792+5 1.865000-4 1.854212+5 1.905461-4 1.924881+5 1.950000-4 2.016588+5 2.137962-4 2.465646+5 2.220000-4 2.661888+5 2.300000-4 2.841988+5 2.380000-4 3.005344+5 2.454709-4 3.140803+5 2.540973-4 3.275951+5 2.630268-4 3.392775+5 2.730000-4 3.497808+5 2.830000-4 3.578724+5 2.950000-4 3.646696+5 3.054921-4 3.682725+5 3.162278-4 3.699833+5 3.311311-4 3.695987+5 3.467369-4 3.664811+5 3.630781-4 3.609417+5 3.801894-4 3.532995+5 4.000000-4 3.426152+5 4.216965-4 3.294864+5 4.466836-4 3.135281+5 4.731513-4 2.962802+5 5.011872-4 2.780427+5 5.370318-4 2.555755+5 5.754399-4 2.331538+5 6.165950-4 2.110491+5 6.606934-4 1.897340+5 7.079458-4 1.695272+5 7.585776-4 1.504868+5 8.222426-4 1.300700+5 8.912509-4 1.115713+5 9.772372-4 9.286087+4 1.059254-3 7.850532+4 1.161449-3 6.433924+4 1.273503-3 5.230823+4 1.380384-3 4.339891+4 1.531087-3 3.387607+4 1.698244-3 2.622447+4 1.862087-3 2.074828+4 2.041738-3 1.632309+4 2.264644-3 1.237540+4 2.540973-3 9.021747+3 2.818383-3 6.737524+3 3.150000-3 4.886760+3 3.467369-3 3.680821+3 3.890451-3 2.599868+3 4.315191-3 1.888293+3 4.786301-3 1.362283+3 5.370318-3 9.405729+2 6.025596-3 6.443560+2 6.760830-3 4.381074+2 7.585776-3 2.957239+2 8.609938-3 1.904214+2 9.660509-3 1.267197+2 1.096478-2 8.037565+1 1.244515-2 5.061964+1 1.412538-2 3.165741+1 1.603245-2 1.966040+1 1.840772-2 1.160471+1 2.113489-2 6.800611+0 2.454709-2 3.783384+0 2.884032-2 1.997050+0 3.467369-2 9.546171-1 4.265795-2 4.127556-1 5.841730-2 1.144899-1 8.609938-2 2.346387-2 1.071519-1 9.661717-3 1.273503-1 4.827494-3 1.496236-1 2.544523-3 1.717908-1 1.479622-3 1.972423-1 8.667524-4 2.238721-1 5.346642-4 2.511886-1 3.470068-4 2.818383-1 2.268889-4 3.090295-1 1.624975-4 3.427678-1 1.124161-4 3.801894-1 7.830791-5 4.265795-1 5.280142-5 4.677351-1 3.877627-5 5.069907-1 2.977034-5 5.559043-1 2.217526-5 6.095369-1 1.664279-5 6.683439-1 1.258455-5 7.328245-1 9.590096-6 8.609938-1 6.033161-6 9.120108-1 5.147148-6 9.549926-1 4.561135-6 1.000000+0 4.068900-6 1.047129+0 3.657559-6 1.096478+0 3.311704-6 1.148154+0 3.017099-6 1.216186+0 2.704360-6 1.318257+0 2.339183-6 1.513561+0 1.847971-6 1.819701+0 1.339431-6 2.018366+0 1.124022-6 2.290868+0 9.147555-7 2.600160+0 7.498652-7 3.000000+0 6.038000-7 3.467369+0 4.883918-7 4.027170+0 3.952040-7 4.731513+0 3.171777-7 5.623413+0 2.525229-7 6.760830+0 1.995868-7 8.222427+0 1.566749-7 1.023293+1 1.205324-7 1.303167+1 9.099048-8 1.717908+1 6.661940-8 2.264644+1 4.914526-8 3.273407+1 3.306465-8 5.069907+1 2.088576-8 8.317638+1 1.252556-8 1.621810+2 6.344202-9 3.235937+2 3.159432-9 1.288250+3 7.89518-10 1.000000+5 1.01550-11 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.168300-4 6.081200-5 1.000000+5 6.081200-5 1 57000 7 7 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.168300-4 2.048500-8 1.000000+5 2.048500-8 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.168300-4 5.599752-5 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.137600-4 7.030380+5 1.140000-4 7.182240+5 1.146000-4 7.651620+5 1.152000-4 8.202060+5 1.167000-4 9.828540+5 1.175000-4 1.075080+6 1.180000-4 1.131252+6 1.185200-4 1.186528+6 1.190000-4 1.233420+6 1.195000-4 1.276944+6 1.200000-4 1.314186+6 1.205000-4 1.344576+6 1.210000-4 1.367886+6 1.216186-4 1.387026+6 1.220000-4 1.393692+6 1.225000-4 1.396914+6 1.232000-4 1.392012+6 1.240000-4 1.375062+6 1.247000-4 1.352436+6 1.255000-4 1.319964+6 1.265000-4 1.272666+6 1.275000-4 1.221012+6 1.290000-4 1.140522+6 1.307000-4 1.050246+6 1.333521-4 9.186912+5 1.369600-4 7.630436+5 1.445440-4 5.199603+5 1.472000-4 4.589274+5 1.496236-4 4.127778+5 1.513561-4 3.848645+5 1.531087-4 3.605488+5 1.550000-4 3.383358+5 1.570000-4 3.189330+5 1.585000-4 3.068628+5 1.603245-4 2.947559+5 1.621810-4 2.850396+5 1.640590-4 2.775880+5 1.660000-4 2.721240+5 1.680000-4 2.685882+5 1.698244-4 2.669966+5 1.720000-4 2.668830+5 1.740000-4 2.682726+5 1.760000-4 2.708994+5 1.790000-4 2.767884+5 1.820000-4 2.845668+5 1.865000-4 2.988396+5 1.930000-4 3.228834+5 2.041738-4 3.676986+5 2.120000-4 3.988236+5 2.190000-4 4.253766+5 2.264644-4 4.517145+5 2.344229-4 4.769925+5 2.426610-4 4.997421+5 2.511886-4 5.195532+5 2.600160-4 5.363018+5 2.691535-4 5.500678+5 2.800000-4 5.623014+5 2.917427-4 5.710718+5 3.019952-4 5.752585+5 3.150000-4 5.764536+5 3.280000-4 5.738868+5 3.430000-4 5.674680+5 3.600000-4 5.569278+5 3.801894-4 5.408338+5 4.000000-4 5.224962+5 4.216965-4 5.005748+5 4.466836-4 4.744499+5 4.731513-4 4.467856+5 5.011872-4 4.179786+5 5.370318-4 3.827755+5 5.754399-4 3.479780+5 6.165950-4 3.140411+5 6.606934-4 2.814471+5 7.161434-4 2.458212+5 7.673615-4 2.174389+5 8.317638-4 1.871461+5 9.015711-4 1.599314+5 9.885531-4 1.325212+5 1.071519-3 1.116549+5 1.174898-3 9.113531+4 1.288250-3 7.380802+4 1.412538-3 5.938272+4 1.570000-3 4.588506+4 1.757924-3 3.449695+4 1.950000-3 2.634180+4 2.150000-3 2.029482+4 2.350000-3 1.591626+4 2.600160-3 1.199594+4 2.884032-3 8.916177+3 3.200000-3 6.574560+3 3.548134-3 4.826130+3 3.935501-3 3.513117+3 4.415704-3 2.449685+3 4.897788-3 1.758633+3 5.432503-3 1.254126+3 6.095369-3 8.549091+2 6.839116-3 5.783443+2 7.673615-3 3.883692+2 8.609938-3 2.590088+2 9.660509-3 1.715356+2 1.096478-2 1.081999+2 1.244515-2 6.775002+1 1.412538-2 4.211440+1 1.603245-2 2.598770+1 1.840772-2 1.522659+1 2.113489-2 8.853713+0 2.454709-2 4.881646+0 2.884032-2 2.550390+0 3.427678-2 1.261916+0 4.168694-2 5.637996-1 5.308844-2 2.065476-1 8.709636-2 2.610350-2 1.059254-1 1.160053-2 1.244515-1 5.990523-3 1.445440-1 3.267243-3 1.640590-1 1.969300-3 1.862087-1 1.195717-3 2.089296-1 7.652235-4 2.317395-1 5.154667-4 2.570396-1 3.497228-4 2.818383-1 2.493659-4 3.090295-1 1.790167-4 3.388442-1 1.294634-4 3.672823-1 9.813129-5 3.981072-1 7.490652-5 4.315191-1 5.755971-5 4.677351-1 4.452213-5 5.069907-1 3.466705-5 5.495409-1 2.717481-5 5.956621-1 2.144628-5 6.456542-1 1.704330-5 6.998420-1 1.363765-5 7.585776-1 1.098738-5 8.511380-1 8.131494-6 9.015711-1 7.033347-6 9.549926-1 6.124730-6 1.000000+0 5.514800-6 1.059254+0 4.872422-6 1.135011+0 4.232517-6 1.216186+0 3.703357-6 1.318257+0 3.192368-6 1.462177+0 2.659325-6 1.798871+0 1.851017-6 2.018366+0 1.523499-6 2.290868+0 1.239739-6 2.600160+0 1.016272-6 3.000000+0 8.183600-7 3.467369+0 6.619399-7 4.027170+0 5.356361-7 4.731513+0 4.298781-7 5.623413+0 3.422631-7 6.760830+0 2.705114-7 8.222427+0 2.123534-7 1.035142+1 1.611551-7 1.318257+1 1.217155-7 1.757924+1 8.800350-8 2.290868+1 6.578644-8 3.311311+1 4.426904-8 5.188000+1 2.763697-8 8.413951+1 1.677802-8 1.659587+2 8.400370-9 3.311311+2 4.183972-9 1.318257+3 1.045668-9 1.000000+5 1.37640-11 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.137600-4 6.154100-5 1.000000+5 6.154100-5 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.137600-4 5.221900-5 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 4.365000-5 8.652540+4 4.700000-5 9.887560+4 4.920000-5 1.067648+5 5.150000-5 1.144470+5 5.400000-5 1.221086+5 5.650000-5 1.289300+5 5.900000-5 1.348418+5 6.165950-5 1.401086+5 6.400000-5 1.438506+5 6.683439-5 1.472865+5 6.918310-5 1.492625+5 7.161434-5 1.505370+5 7.413102-5 1.511134+5 7.762471-5 1.508577+5 8.150000-5 1.494688+5 8.609938-5 1.468030+5 9.120108-5 1.430884+5 9.800000-5 1.375680+5 1.059254-4 1.308894+5 1.148154-4 1.233784+5 1.230269-4 1.164956+5 1.333521-4 1.080844+5 1.462177-4 9.835477+4 1.640590-4 8.667118+4 1.840772-4 7.580983+4 2.041738-4 6.670369+4 2.371374-4 5.492335+4 2.722701-4 4.562321+4 3.200000-4 3.640480+4 3.801894-4 2.843377+4 4.731513-4 2.057277+4 5.821032-4 1.500105+4 7.000000-4 1.124042+4 8.317638-4 8.523817+3 9.885531-4 6.416849+3 1.188502-3 4.703578+3 1.445440-3 3.353770+3 1.778279-3 2.325581+3 2.238721-3 1.535487+3 2.722701-3 1.071856+3 3.507519-3 6.670854+2 4.315191-3 4.492583+2 5.308844-3 3.002294+2 6.456542-3 2.036213+2 7.852356-3 1.370188+2 9.440609-3 9.367275+1 1.135011-2 6.355288+1 1.364583-2 4.278028+1 1.621810-2 2.930059+1 1.927525-2 1.992392+1 2.317395-2 1.310874+1 2.754229-2 8.786177+0 3.162278-2 6.338654+0 3.715352-2 4.296347+0 4.365158-2 2.890719+0 5.188000-2 1.876004+0 6.165950-2 1.208141+0 7.413102-2 7.499104-1 8.609938-2 5.059791-1 1.071519-1 2.822269-1 1.428894-1 1.297124-1 2.483133-1 2.894012-2 3.000000-1 1.743900-2 3.507519-1 1.155032-2 4.027170-1 8.081203-3 4.570882-1 5.866313-3 5.128614-1 4.413895-3 5.754399-1 3.344938-3 6.382635-1 2.623371-3 7.079458-1 2.070941-3 7.852356-1 1.645689-3 8.709636-1 1.315496-3 9.549926-1 1.085274-3 1.059254+0 8.814810-4 1.202264+0 6.883747-4 1.348963+0 5.538271-4 1.513561+0 4.487741-4 1.717908+0 3.588800-4 1.949845+0 2.892369-4 2.213095+0 2.348795-4 2.511886+0 1.921709-4 2.884032+0 1.555820-4 3.349654+0 1.247206-4 3.890451+0 1.007498-4 4.518559+0 8.198709-5 5.370318+0 6.514487-5 6.456542+0 5.138733-5 7.852356+0 4.026408-5 9.772372+0 3.092411-5 1.216186+1 2.393644-5 1.531087+1 1.841278-5 2.000000+1 1.367800-5 2.630268+1 1.015384-5 3.589219+1 7.286430-6 5.688529+1 4.501741-6 9.549926+1 2.641701-6 1.905461+2 1.309238-6 3.801894+2 6.525572-7 1.513561+3 1.632144-7 1.000000+5 2.467100-9 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 4.365000-5 4.365000-5 1.000000+5 4.365000-5 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.365000-5 0.0 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.833000-5 4.477040+6 2.884032-5 4.315139+6 2.940000-5 4.124680+6 3.000000-5 3.915760+6 3.090295-5 3.605886+6 3.198895-5 3.253045+6 3.350000-5 2.812300+6 3.507519-5 2.414537+6 3.715352-5 1.977917+6 4.000000-5 1.517896+6 4.731513-5 8.230746+5 5.128614-5 6.175090+5 5.500000-5 4.844480+5 5.888437-5 3.850225+5 6.237348-5 3.192872+5 6.606934-5 2.666158+5 6.918310-5 2.321365+5 7.244360-5 2.033099+5 7.585776-5 1.792402+5 7.943282-5 1.591410+5 8.317638-5 1.423218+5 8.709636-5 1.281908+5 9.150000-5 1.154926+5 9.549926-5 1.061405+5 1.000000-4 9.748160+4 1.047129-4 9.003267+4 1.109175-4 8.211606+4 1.174898-4 7.545659+4 1.244515-4 6.980575+4 1.333521-4 6.407756+4 1.445440-4 5.848187+4 1.603245-4 5.245344+4 1.905461-4 4.421427+4 2.540973-4 3.340769+4 2.985383-4 2.835635+4 3.507519-4 2.387312+4 4.027170-4 2.044710+4 4.623810-4 1.738628+4 5.248075-4 1.488180+4 6.000000-4 1.253366+4 6.839116-4 1.051411+4 7.762471-4 8.806358+3 8.810489-4 7.319412+3 1.000000-3 6.036680+3 1.135011-3 4.940293+3 1.288250-3 4.012587+3 1.462177-3 3.235252+3 1.659587-3 2.590113+3 1.883649-3 2.059247+3 2.162719-3 1.591279+3 2.454709-3 1.247717+3 2.786121-3 9.717252+2 3.162278-3 7.516498+2 3.589219-3 5.774133+2 4.073803-3 4.404193+2 4.623810-3 3.334949+2 5.248075-3 2.506576+2 5.956621-3 1.869845+2 6.760830-3 1.384508+2 7.673615-3 1.017383+2 8.709636-3 7.421749+1 9.885531-3 5.375405+1 1.122018-2 3.866056+1 1.288250-2 2.677722+1 1.513561-2 1.730669+1 1.717908-2 1.217878+1 1.972423-2 8.237319+0 2.264644-2 5.532211+0 2.630268-2 3.567086+0 3.054921-2 2.283099+0 3.589219-2 1.401063+0 4.265795-2 8.239502-1 5.128614-2 4.641445-1 6.382635-2 2.326751-1 8.609938-2 8.959878-2 1.396368-1 1.906808-2 1.737801-1 9.533510-3 2.089296-1 5.357102-3 2.426610-1 3.375939-3 2.786121-1 2.219463-3 3.162278-1 1.521327-3 3.589219-1 1.050466-3 4.027170-1 7.554217-4 4.518559-1 5.471967-4 5.011872-1 4.120978-4 5.559043-1 3.124664-4 6.165950-1 2.386283-4 6.839117-1 1.836316-4 7.585776-1 1.423890-4 8.609938-1 1.050675-4 9.225714-1 8.955018-5 9.772372-1 7.884185-5 1.047129+0 6.820659-5 1.135011+0 5.799936-5 1.244515+0 4.856374-5 1.364583+0 4.098758-5 1.678804+0 2.838110-5 1.905461+0 2.282986-5 2.137962+0 1.886343-5 2.426610+0 1.540374-5 2.786121+0 1.244627-5 3.235937+0 9.959403-6 3.758374+0 8.030980-6 4.365158+0 6.524617-6 5.188000+0 5.176201-6 6.165950+0 4.137177-6 7.498942+0 3.235598-6 9.120108+0 2.550248-6 1.122018+1 1.995728-6 1.400000+1 1.547000-6 1.862087+1 1.123643-6 2.344229+1 8.733766-7 3.349654+1 5.951840-7 5.248075+1 3.716637-7 8.609938+1 2.230201-7 1.717908+2 1.103987-7 3.427678+2 5.499644-8 1.364583+3 1.374732-8 1.000000+5 1.87330-10 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.833000-5 2.833000-5 1.000000+5 2.833000-5 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.833000-5 0.0 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.559000-5 9.139280+6 2.620000-5 8.607400+6 2.691535-5 7.981314+6 2.786121-5 7.194554+6 2.917427-5 6.214268+6 3.080000-5 5.186760+6 3.273407-5 4.202006+6 3.589219-5 3.027856+6 4.027170-5 2.004902+6 4.315191-5 1.574601+6 4.570882-5 1.295234+6 4.841724-5 1.072599+6 5.128614-5 8.950150+5 5.400000-5 7.664840+5 5.688529-5 6.602980+5 5.956621-5 5.825365+5 6.237348-5 5.173928+5 6.531306-5 4.628428+5 6.839116-5 4.171617+5 7.161434-5 3.788529+5 7.500000-5 3.465084+5 7.852356-5 3.192774+5 8.222426-5 2.959541+5 8.709636-5 2.712201+5 9.300000-5 2.476256+5 1.000000-4 2.257092+5 1.083927-4 2.051700+5 1.190000-4 1.850980+5 1.364583-4 1.606211+5 1.800000-4 1.212128+5 2.113489-4 1.023058+5 2.500000-4 8.503760+4 2.851018-4 7.312762+4 3.311311-4 6.111847+4 3.758374-4 5.220554+4 4.365158-4 4.300414+4 5.011872-4 3.570335+4 5.800000-4 2.908716+4 6.531306-4 2.446912+4 7.413102-4 2.022455+4 8.413951-4 1.659766+4 9.549926-4 1.352852+4 1.083927-3 1.094528+4 1.230269-3 8.792314+3 1.396368-3 7.013614+3 1.603245-3 5.438526+3 1.840772-3 4.183682+3 2.113489-3 3.193408+3 2.426610-3 2.418914+3 2.786121-3 1.817825+3 3.198895-3 1.355252+3 3.630781-3 1.028029+3 4.120975-3 7.743015+2 4.677351-3 5.789707+2 5.308844-3 4.296866+2 6.025596-3 3.164833+2 6.839116-3 2.313406+2 7.762471-3 1.678468+2 8.810489-3 1.208385+2 1.000000-2 8.637120+1 1.135011-2 6.130119+1 1.288250-2 4.318415+1 1.479108-2 2.923639+1 1.698244-2 1.964293+1 1.949845-2 1.309646+1 2.238721-2 8.664080+0 2.570396-2 5.689992+0 2.985383-2 3.580359+0 3.467369-2 2.235420+0 4.073803-2 1.335739+0 4.841724-2 7.633101-1 5.754399-2 4.327261-1 7.161434-2 2.091241-1 1.000000-1 6.822890-2 1.412538-1 2.131521-2 1.717908-1 1.109564-2 2.041738-1 6.282322-3 2.344229-1 4.010210-3 2.660725-1 2.675781-3 3.000000-1 1.836800-3 3.349654-1 1.309471-3 3.715352-1 9.592293-4 4.120975-1 7.077567-4 4.570882-1 5.263005-4 5.011872-1 4.072685-4 5.495409-1 3.173622-4 6.025596-1 2.490461-4 6.606935-1 1.968864-4 7.244360-1 1.567776-4 7.943282-1 1.257381-4 8.709636-1 1.012764-4 9.332543-1 8.667553-5 1.000000+0 7.471900-5 1.096478+0 6.193014-5 1.202264+0 5.171616-5 1.318257+0 4.350438-5 1.479108+0 3.534278-5 1.717908+0 2.714283-5 1.949845+0 2.186544-5 2.187762+0 1.808650-5 2.483133+0 1.478805-5 2.851018+0 1.196589-5 3.311311+0 9.586954-6 3.845918+0 7.739676-6 4.466836+0 6.294898-6 5.308844+0 4.999210-6 6.309573+0 3.999552-6 7.673615+0 3.130895-6 9.440609+0 2.435831-6 1.161449+1 1.908556-6 1.428894+1 1.504717-6 1.905461+1 1.090530-6 2.371374+1 8.587280-7 3.349654+1 5.925215-7 5.248075+1 3.699963-7 8.511380+1 2.246528-7 1.678804+2 1.124949-7 3.349654+2 5.603444-8 1.333521+3 1.400498-8 1.000000+5 1.86490-10 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.559000-5 2.559000-5 1.000000+5 2.559000-5 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.559000-5 0.0 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 5.580000-6 2.488240+6 5.821032-6 2.690859+6 6.025596-6 2.851302+6 6.309573-6 3.055134+6 6.606934-6 3.247318+6 6.918310-6 3.426686+6 7.244360-6 3.594247+6 7.600000-6 3.753568+6 8.000000-6 3.903932+6 8.413951-6 4.030176+6 8.850000-6 4.133440+6 9.225714-6 4.197581+6 9.700000-6 4.246520+6 1.011579-5 4.260861+6 1.060000-5 4.246200+6 1.110000-5 4.198080+6 1.150000-5 4.138160+6 1.202264-5 4.034914+6 1.250000-5 3.920348+6 1.303167-5 3.773131+6 1.350000-5 3.630452+6 1.400000-5 3.469528+6 1.462177-5 3.263432+6 1.530000-5 3.037384+6 1.590000-5 2.839852+6 1.659587-5 2.619398+6 1.737801-5 2.385736+6 1.830000-5 2.132972+6 1.927525-5 1.893892+6 2.041738-5 1.649509+6 2.190000-5 1.383392+6 2.371374-5 1.123418+6 2.570396-5 9.025870+5 2.754229-5 7.431771+5 2.951209-5 6.079627+5 3.150000-5 4.995600+5 3.350000-5 4.120640+5 3.548134-5 3.420507+5 3.758374-5 2.818537+5 3.981072-5 2.305659+5 4.220000-5 1.868168+5 4.466836-5 1.510685+5 4.731513-5 1.210262+5 5.011872-5 9.634320+4 5.308844-5 7.619721+4 5.650000-5 5.873760+4 6.025596-5 4.453507+4 6.400000-5 3.413940+4 6.839116-5 2.528177+4 7.413102-5 1.741690+4 8.128305-5 1.135171+4 8.511380-5 9.215404+3 8.810489-5 7.926982+3 9.070000-5 7.024800+3 9.332543-5 6.278650+3 9.580000-5 5.702960+3 9.800000-5 5.279040+3 1.000000-4 4.955200+3 1.023293-4 4.641303+3 1.047129-4 4.380107+3 1.071519-4 4.165983+3 1.096478-4 3.993812+3 1.122018-4 3.859035+3 1.148154-4 3.757143+3 1.174898-4 3.683852+3 1.205000-4 3.631812+3 1.230269-4 3.608497+3 1.262300-4 3.600177+3 1.303167-4 3.615167+3 1.350000-4 3.656704+3 1.412538-4 3.737082+3 1.630000-4 4.053280+3 1.737801-4 4.179449+3 1.840772-4 4.268628+3 1.949845-4 4.332354+3 2.041738-4 4.361343+3 2.162719-4 4.367239+3 2.292200-4 4.343082+3 2.426610-4 4.291337+3 2.570396-4 4.212675+3 2.722701-4 4.109755+3 2.884032-4 3.985197+3 3.054921-4 3.841391+3 3.273407-4 3.647472+3 3.507519-4 3.437121+3 3.758374-4 3.215829+3 4.027170-4 2.988858+3 4.315191-4 2.761717+3 4.623810-4 2.536192+3 5.011872-4 2.279076+3 5.432503-4 2.032021+3 5.888437-4 1.798480+3 6.382635-4 1.581005+3 6.918310-4 1.380455+3 7.498942-4 1.197203+3 8.128305-4 1.031462+3 8.912509-4 8.632029+2 9.772372-4 7.168505+2 1.071519-3 5.908223+2 1.174898-3 4.833916+2 1.288250-3 3.927291+2 1.412538-3 3.169350+2 1.566751-3 2.471347+2 1.737801-3 1.912397+2 1.927525-3 1.468730+2 2.137962-3 1.119802+2 2.371374-3 8.477969+1 2.630268-3 6.375429+1 2.917427-3 4.762647+1 3.235937-3 3.532735+1 3.589219-3 2.602091+1 4.000000-3 1.876105+1 4.466836-3 1.334291+1 4.954502-3 9.624066+0 5.559043-3 6.643594+0 6.237348-3 4.549841+0 6.998420-3 3.092560+0 7.852356-3 2.086859+0 8.810489-3 1.398444+0 1.000000-2 8.934481-1 1.135011-2 5.665139-1 1.288250-2 3.565711-1 1.462177-2 2.228352-1 1.659587-2 1.382835-1 1.905461-2 8.156730-2 2.187762-2 4.776561-2 2.540973-2 2.655541-2 3.019952-2 1.338023-2 3.630781-2 6.388060-3 4.570882-2 2.513172-3 9.015711-2 1.572093-4 1.109175-1 6.793290-5 1.318257-1 3.399181-5 1.531088-1 1.877967-5 1.757924-1 1.093357-5 2.018366-1 6.413300-6 2.290868-1 3.961001-6 2.570396-1 2.573989-6 2.884032-1 1.685283-6 3.198895-1 1.159716-6 3.548134-1 8.038304-7 3.935501-1 5.612032-7 4.365158-1 3.947005-7 4.786301-1 2.905915-7 5.248075-1 2.153428-7 5.754399-1 1.607035-7 6.237348-1 1.252323-7 6.760830-1 9.823847-8 7.413102-1 7.498864-8 8.035261-1 5.954075-8 8.609938-1 4.871136-8 9.120108-1 4.151310-8 9.549926-1 3.676914-8 1.000000+0 3.280200-8 1.047129+0 2.949683-8 1.096478+0 2.670638-8 1.148154+0 2.432277-8 1.216186+0 2.178909-8 1.318257+0 1.884488-8 1.513561+0 1.489803-8 1.840772+0 1.058745-8 2.044000+0 8.874200-9 2.317395+0 7.239759-9 2.630268+0 5.938545-9 3.019952+0 4.819767-9 3.507519+0 3.872596-9 4.073803+0 3.135504-9 4.786301+0 2.517778-9 5.688529+0 2.005632-9 6.839116+0 1.585903-9 8.317638+0 1.245513-9 1.035142+1 9.58581-10 1.318257+1 7.23952-10 1.757924+1 5.23446-10 2.290868+1 3.91291-10 3.311311+1 2.63319-10 5.188000+1 1.64389-10 8.413951+1 9.97914-11 1.678804+2 4.93854-11 3.349654+2 2.45992-11 1.333521+3 6.14833-12 1.000000+5 8.18700-14 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 5.580000-6 5.580000-6 1.000000+5 5.580000-6 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 5.580000-6 0.0 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 5.340000-6 4.098972+6 5.623413-6 4.457106+6 5.850000-6 4.719270+6 6.100000-6 4.981134+6 6.382635-6 5.244593+6 6.700000-6 5.507262+6 7.100000-6 5.786904+6 7.500000-6 6.019560+6 7.852356-6 6.186464+6 8.317638-6 6.355393+6 8.709636-6 6.454825+6 9.120108-6 6.519818+6 9.549926-6 6.546334+6 1.000000-5 6.531000+6 1.050000-5 6.465600+6 1.100000-5 6.354120+6 1.150000-5 6.202020+6 1.202264-5 6.006207+6 1.250000-5 5.801604+6 1.303167-5 5.552518+6 1.350000-5 5.320062+6 1.400000-5 5.063448+6 1.462177-5 4.739655+6 1.531087-5 4.385447+6 1.603245-5 4.026942+6 1.678804-5 3.673270+6 1.770000-5 3.280638+6 1.862087-5 2.923654+6 1.980000-5 2.524356+6 2.113489-5 2.144385+6 2.264644-5 1.791271+6 2.454709-5 1.440681+6 2.650000-5 1.162794+6 2.851018-5 9.404075+5 3.054921-5 7.640857+5 3.235937-5 6.385471+5 3.450000-5 5.190954+5 3.650000-5 4.296846+5 3.850000-5 3.569232+5 4.073803-5 2.912887+5 4.315191-5 2.351396+5 4.570882-5 1.884289+5 4.841724-5 1.500323+5 5.150000-5 1.166298+5 5.500000-5 8.850720+4 5.821032-5 6.931017+4 6.237348-5 5.106284+4 6.650000-5 3.819288+4 7.943282-5 1.679242+4 8.317638-5 1.366848+4 8.609938-5 1.178774+4 8.810489-5 1.072725+4 9.070000-5 9.586200+3 9.300000-5 8.757600+3 9.500000-5 8.154240+3 9.740000-5 7.553142+3 9.950000-5 7.122180+3 1.011579-4 6.835964+3 1.035142-4 6.499305+3 1.059254-4 6.226993+3 1.083927-4 6.012046+3 1.110000-4 5.844168+3 1.135011-4 5.730554+3 1.161449-4 5.650879+3 1.190000-4 5.602302+3 1.220000-4 5.585658+3 1.260000-4 5.605434+3 1.303167-4 5.662523+3 1.364583-4 5.783881+3 1.584893-4 6.284504+3 1.678804-4 6.451401+3 1.778279-4 6.583576+3 1.883649-4 6.677795+3 2.000000-4 6.732300+3 2.113489-4 6.728587+3 2.242800-4 6.678446+3 2.371374-4 6.589999+3 2.511886-4 6.459560+3 2.660725-4 6.292986+3 2.818383-4 6.094394+3 3.000000-4 5.847930+3 3.198895-4 5.565093+3 3.427678-4 5.237945+3 3.672823-4 4.895250+3 3.935501-4 4.544681+3 4.265795-4 4.136855+3 4.623810-4 3.735356+3 5.011872-4 3.346104+3 5.432503-4 2.974212+3 5.888437-4 2.624471+3 6.382635-4 2.300115+3 6.918310-4 2.002479+3 7.498942-4 1.732192+3 8.128305-4 1.488681+3 8.912509-4 1.242155+3 9.772372-4 1.028584+3 1.071519-3 8.453555+2 1.174898-3 6.897123+2 1.288250-3 5.588059+2 1.412538-3 4.497240+2 1.566751-3 3.496000+2 1.737801-3 2.696981+2 1.927525-3 2.064959+2 2.137962-3 1.569597+2 2.344229-3 1.220968+2 2.600160-3 9.136425+1 2.884032-3 6.790232+1 3.273407-3 4.688327+1 3.630781-3 3.439076+1 4.027170-3 2.505991+1 4.466836-3 1.813205+1 4.954502-3 1.303233+1 5.522000-3 9.159515+0 6.165950-3 6.351825+0 6.918310-3 4.302273+0 7.762471-3 2.892490+0 8.709636-3 1.930782+0 9.772372-3 1.279982+0 1.109175-2 8.082803-1 1.258925-2 5.065201-1 1.428894-2 3.150625-1 1.621810-2 1.945413-1 1.862087-2 1.140710-1 2.137962-2 6.637232-2 2.483133-2 3.661945-2 2.917427-2 1.914396-2 3.467369-2 9.475705-3 4.216965-2 4.235970-3 5.308844-2 1.629833-3 8.609938-2 2.172914-4 1.071519-1 8.792492-5 1.258925-1 4.543873-5 1.445440-1 2.597365-5 1.640590-1 1.565563-5 1.862087-1 9.506398-6 2.089296-1 6.084622-6 2.317395-1 4.099622-6 2.570396-1 2.782684-6 2.818383-1 1.985552-6 3.090295-1 1.426845-6 3.388442-1 1.033195-6 3.715352-1 7.540423-7 4.027170-1 5.762264-7 4.365158-1 4.431590-7 4.731513-1 3.430732-7 5.128614-1 2.673958-7 5.559043-1 2.098686-7 6.025596-1 1.659132-7 6.531306-1 1.322147-7 7.079458-1 1.061407-7 7.673615-1 8.582210-8 8.609938-1 6.384282-8 9.120108-1 5.540272-8 9.660509-1 4.839864-8 1.022000+0 4.272700-8 1.083927+0 3.777035-8 1.161449+0 3.291371-8 1.258925+0 2.825419-8 1.380384+0 2.390983-8 1.757924+0 1.564098-8 1.972423+0 1.285734-8 2.238721+0 1.044792-8 2.540973+0 8.553822-9 2.917427+0 6.929700-9 3.388442+0 5.558268-9 3.935501+0 4.492526-9 4.623810+0 3.601491-9 5.495409+0 2.864544-9 6.606934+0 2.261795-9 8.035261+0 1.773850-9 1.011579+1 1.345048-9 1.288250+1 1.015026-9 1.698244+1 7.42885-10 2.264644+1 5.41024-10 3.273407+1 3.63992-10 5.128614+1 2.27189-10 8.317638+1 1.37892-10 1.640590+2 6.90307-11 3.273407+2 3.43801-11 1.303167+3 8.59172-12 1.000000+5 1.11800-13 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 5.340000-6 5.340000-6 1.000000+5 5.340000-6 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 5.340000-6 0.0 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.140000-6 2.723952+6 5.559043-6 1.846180+6 5.821032-6 1.463136+6 6.100000-6 1.149536+6 6.456542-6 8.514480+5 6.760830-6 6.632538+5 7.100000-6 5.050960+5 7.413102-6 3.948817+5 7.762471-6 3.016386+5 8.128305-6 2.288045+5 8.511380-6 1.724431+5 9.700000-6 7.586940+4 1.000000-5 6.292720+4 1.027000-5 5.372820+4 1.050000-5 4.738960+4 1.071519-5 4.250407+4 1.092000-5 3.865420+4 1.110000-5 3.582720+4 1.127000-5 3.357480+4 1.142000-5 3.188580+4 1.161449-5 3.006386+4 1.180000-5 2.866660+4 1.195000-5 2.775060+4 1.207000-5 2.714120+4 1.222000-5 2.651820+4 1.240000-5 2.595340+4 1.260000-5 2.553120+4 1.280000-5 2.529640+4 1.303167-5 2.522398+4 1.320000-5 2.528700+4 1.340000-5 2.547000+4 1.365000-5 2.583900+4 1.396500-5 2.648424+4 1.428894-5 2.730943+4 1.480000-5 2.884540+4 1.659587-5 3.512248+4 1.737801-5 3.782927+4 1.819701-5 4.049126+4 1.905461-5 4.304096+4 2.000000-5 4.554500+4 2.089296-5 4.761497+4 2.190000-5 4.962060+4 2.300000-5 5.143520+4 2.426610-5 5.307282+4 2.540973-5 5.418047+4 2.660725-5 5.501339+4 2.818383-5 5.567524+4 2.985383-5 5.592511+4 3.162278-5 5.578211+4 3.350000-5 5.525820+4 3.548134-5 5.436922+4 3.758374-5 5.314885+4 4.000000-5 5.151080+4 4.265795-5 4.953383+4 4.570882-5 4.716153+4 4.900000-5 4.457100+4 5.308844-5 4.145886+4 5.821032-5 3.786005+4 6.456542-5 3.391567+4 7.413102-5 2.903349+4 8.709636-5 2.401283+4 1.364583-4 1.397043+4 1.513561-4 1.226135+4 1.659587-4 1.084797+4 1.840772-4 9.381562+3 2.264644-4 6.931044+3 2.851018-4 4.904387+3 3.845918-4 3.118309+3 4.731513-4 2.258441+3 6.095369-4 1.518279+3 7.762471-4 1.025724+3 9.225714-4 7.718922+2 1.135011-3 5.431161+2 1.258925-3 4.532825+2 1.927525-3 2.124734+2 2.454709-3 1.371919+2 3.054921-3 9.167182+1 3.758374-3 6.205280+1 4.623810-3 4.168509+1 5.623413-3 2.841896+1 6.839116-3 1.923203+1 8.222426-3 1.322225+1 9.885531-3 9.023832+0 1.188502-2 6.110849+0 1.412538-2 4.209645+0 1.678804-2 2.879126+0 2.000000-2 1.943864+0 2.371374-2 1.315926+0 2.818383-2 8.789805-1 3.311311-2 5.986660-1 3.935501-2 3.935999-1 4.677351-2 2.567422-1 5.495409-2 1.710501-1 6.606934-2 1.066778-1 8.000000-2 6.481800-2 9.772372-2 3.810824-2 1.258925-1 1.928469-2 2.511886-1 2.961212-3 3.019952-1 1.808966-3 3.507519-1 1.219749-3 4.027170-1 8.537120-4 4.570882-1 6.200157-4 5.128614-1 4.667676-4 5.754399-1 3.539768-4 6.382635-1 2.778477-4 7.079458-1 2.195727-4 7.852356-1 1.747253-4 8.709636-1 1.400033-4 9.660509-1 1.130401-4 1.096478+0 8.788500-5 1.250000+0 6.821400-5 1.412538+0 5.428487-5 1.584893+0 4.409435-5 1.798871+0 3.536481-5 2.044000+0 2.852800-5 2.317395+0 2.327301-5 2.630268+0 1.909027-5 3.019952+0 1.549424-5 3.507519+0 1.244943-5 4.073803+0 1.007991-5 4.786301+0 8.094035-6 5.688529+0 6.447415-6 6.839116+0 5.098349-6 8.317638+0 4.004085-6 1.035142+1 3.081586-6 1.318257+1 2.327303-6 1.757924+1 1.682715-6 2.290868+1 1.257901-6 3.311311+1 8.464995-7 5.188000+1 5.284631-7 8.413951+1 3.208152-7 1.659587+2 1.606224-7 3.311311+2 8.000276-8 1.318257+3 1.999401-8 1.000000+5 2.63190-10 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.140000-6 5.140000-6 1.000000+5 5.140000-6 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.140000-6 0.0 1.000000+5 1.000000+5 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.243850-7 1.027100+0 9.731160-7 1.027500+0 1.218820-6 1.028100+0 1.659400-6 1.028750+0 2.243850-6 1.029500+0 3.070770-6 1.030100+0 3.861860-6 1.031000+0 5.284350-6 1.032000+0 7.230310-6 1.033200+0 1.012840-5 1.034000+0 1.243360-5 1.035300+0 1.687680-5 1.036640+0 2.243850-5 1.038200+0 3.028150-5 1.039700+0 3.934170-5 1.041500+0 5.234360-5 1.043800+0 7.265470-5 1.046400+0 1.010850-4 1.048300+0 1.258540-4 1.051200+0 1.707180-4 1.054080+0 2.243850-4 1.057700+0 3.058520-4 1.061100+0 3.978380-4 1.065100+0 5.266970-4 1.070400+0 7.348020-4 1.076200+0 1.015500-3 1.080600+0 1.268190-3 1.087100+0 1.708660-3 1.093710+0 2.243850-3 1.102600+0 3.110910-3 1.110700+0 4.056990-3 1.120600+0 5.426570-3 1.133300+0 7.544510-3 1.147500+0 1.041600-2 1.158200+0 1.294430-2 1.174100+0 1.730220-2 1.190110+0 2.243850-2 1.205100+0 2.794150-2 1.227500+0 3.740870-2 1.250000+0 4.831000-2 1.265600+0 5.658280-2 1.294900+0 7.350900-2 1.320600+0 8.961710-2 1.343000+0 1.044620-1 1.382200+0 1.319120-1 1.433800+0 1.703530-1 1.500000+0 2.232000-1 1.589800+0 3.021700-1 1.665000+0 3.744510-1 1.784700+0 4.989010-1 1.892300+0 6.175830-1 2.000000+0 7.391000-1 2.044000+0 7.886000-1 2.163500+0 9.231510-1 2.372600+0 1.157650+0 2.647100+0 1.459080+0 3.000000+0 1.831000+0 3.500000+0 2.324220+0 4.000000+0 2.781000+0 4.750000+0 3.406050+0 5.000000+0 3.599000+0 6.000000+0 4.303000+0 7.000000+0 4.927000+0 8.000000+0 5.488000+0 9.000000+0 5.998000+0 1.000000+1 6.465000+0 1.100000+1 6.896000+0 1.200000+1 7.296000+0 1.300000+1 7.669000+0 1.400000+1 8.013000+0 1.500000+1 8.332000+0 1.600000+1 8.627000+0 1.800000+1 9.163000+0 2.000000+1 9.643000+0 2.200000+1 1.008000+1 2.400000+1 1.048000+1 2.600000+1 1.084000+1 2.800000+1 1.117000+1 3.000000+1 1.147000+1 4.000000+1 1.271000+1 5.000000+1 1.363000+1 6.000000+1 1.435000+1 8.000000+1 1.541000+1 1.000000+2 1.616000+1 1.500000+2 1.735000+1 2.000000+2 1.807000+1 3.000000+2 1.890000+1 4.000000+2 1.938000+1 5.000000+2 1.970000+1 6.000000+2 1.992000+1 8.000000+2 2.022000+1 1.000000+3 2.042000+1 1.500000+3 2.070000+1 2.000000+3 2.085000+1 3.000000+3 2.102000+1 4.000000+3 2.111000+1 5.000000+3 2.117000+1 6.000000+3 2.121000+1 8.000000+3 2.126000+1 1.000000+4 2.129000+1 1.500000+4 2.134000+1 2.000000+4 2.136000+1 3.000000+4 2.139000+1 4.000000+4 2.140000+1 5.000000+4 2.141000+1 6.000000+4 2.141000+1 8.000000+4 2.142000+1 1.000000+5 2.142000+1 1 57000 7 8 1.389100+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 5.714290-7 2.094700+0 1.006020-6 2.099900+0 1.338370-6 2.106600+0 1.861780-6 2.114000+0 2.576010-6 2.119500+0 3.207110-6 2.127900+0 4.349450-6 2.136250+0 5.714290-6 2.147000+0 7.834690-6 2.156900+0 1.017630-5 2.169000+0 1.358090-5 2.184500+0 1.887800-5 2.201800+0 2.611820-5 2.214800+0 3.254120-5 2.234200+0 4.377370-5 2.253680+0 5.714290-5 2.281500+0 8.003870-5 2.307000+0 1.051310-4 2.338200+0 1.413570-4 2.377400+0 1.957630-4 2.410200+0 2.489770-4 2.446800+0 3.167130-4 2.485900+0 3.987590-4 2.532900+0 5.103260-4 2.556430+0 5.714290-4 2.611900+0 7.286360-4 2.660400+0 8.808830-4 2.745300+0 1.179010-3 2.809000+0 1.427850-3 2.904500+0 1.839440-3 3.000000+0 2.296000-3 3.125000+0 2.960560-3 3.234400+0 3.602270-3 3.425800+0 4.850710-3 3.569300+0 5.881720-3 3.784700+0 7.560470-3 4.000000+0 9.365000-3 4.250000+0 1.157100-2 4.625000+0 1.503740-2 5.000000+0 1.864000-2 5.500000+0 2.358290-2 6.000000+0 2.859000-2 6.750000+0 3.603870-2 7.000000+0 3.849000-2 8.000000+0 4.808000-2 9.000000+0 5.724000-2 1.000000+1 6.594000-2 1.100000+1 7.417000-2 1.200000+1 8.192000-2 1.300000+1 8.921000-2 1.400000+1 9.616000-2 1.500000+1 1.027000-1 1.600000+1 1.090000-1 1.800000+1 1.205000-1 2.000000+1 1.310000-1 2.200000+1 1.406000-1 2.400000+1 1.494000-1 2.600000+1 1.575000-1 2.800000+1 1.650000-1 3.000000+1 1.720000-1 4.000000+1 2.010000-1 5.000000+1 2.229000-1 6.000000+1 2.403000-1 8.000000+1 2.664000-1 1.000000+2 2.854000-1 1.500000+2 3.169000-1 2.000000+2 3.367000-1 3.000000+2 3.609000-1 4.000000+2 3.755000-1 5.000000+2 3.856000-1 6.000000+2 3.930000-1 8.000000+2 4.032000-1 1.000000+3 4.100000-1 1.500000+3 4.203000-1 2.000000+3 4.261000-1 3.000000+3 4.326000-1 4.000000+3 4.364000-1 5.000000+3 4.387000-1 6.000000+3 4.404000-1 8.000000+3 4.426000-1 1.000000+4 4.440000-1 1.500000+4 4.458000-1 2.000000+4 4.470000-1 3.000000+4 4.480000-1 4.000000+4 4.487000-1 5.000000+4 4.491000-1 6.000000+4 4.494000-1 8.000000+4 4.497000-1 1.000000+5 4.499000-1 1 57000 7 8 1.389100+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 57000 7 9 1.389100+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 5.700000+1 1.000000+5 5.700000+1 5.000000+5 5.696400+1 7.500000+5 5.693180+1 1.000000+6 5.690900+1 1.250000+6 5.686940+1 1.500000+6 5.682700+1 1.875000+6 5.673150+1 2.000000+6 5.669500+1 2.375000+6 5.657410+1 2.500000+6 5.653000+1 2.875000+6 5.638550+1 3.000000+6 5.633300+1 3.250000+6 5.622190+1 3.625000+6 5.604350+1 4.000000+6 5.585600+1 4.437500+6 5.562770+1 4.812500+6 5.541900+1 5.000000+6 5.530900+1 5.500000+6 5.499370+1 5.875000+6 5.475100+1 6.437500+6 5.437240+1 6.500000+6 5.433160+1 7.000000+6 5.398900+1 7.500000+6 5.364420+1 8.250000+6 5.311680+1 8.500000+6 5.294230+1 9.000000+6 5.258700+1 1.000000+7 5.186700+1 1.250000+7 5.012500+1 1.500000+7 4.840000+1 1.750000+7 4.671700+1 2.000000+7 4.507400+1 2.250000+7 4.345330+1 2.375000+7 4.265840+1 2.500000+7 4.188700+1 2.875000+7 3.968500+1 3.000000+7 3.899700+1 3.250000+7 3.768300+1 3.500000+7 3.645230+1 3.625000+7 3.586490+1 4.000000+7 3.420700+1 4.500000+7 3.219390+1 5.000000+7 3.034500+1 5.500000+7 2.862010+1 6.000000+7 2.701000+1 6.750000+7 2.480720+1 7.000000+7 2.413300+1 8.000000+7 2.174000+1 9.000000+7 1.981200+1 1.000000+8 1.827300+1 1.125000+8 1.674970+1 1.250000+8 1.546900+1 1.359400+8 1.444600+1 1.437500+8 1.374750+1 1.453100+8 1.361040+1 1.500000+8 1.320200+1 1.589800+8 1.243310+1 1.665000+8 1.180450+1 1.748800+8 1.112440+1 1.750000+8 1.111480+1 1.838500+8 1.042160+1 1.946200+8 9.613030+0 2.000000+8 9.225300+0 2.281300+8 7.490340+0 2.359400+8 7.131910+0 2.375000+8 7.066870+0 2.453100+8 6.776950+0 2.500000+8 6.630200+0 2.562500+8 6.464440+0 2.671900+8 6.228100+0 2.877000+8 5.849150+0 2.959000+8 5.689390+0 3.000000+8 5.604500+0 3.500000+8 4.578800+0 3.625000+8 4.417090+0 4.000000+8 4.044600+0 4.179700+8 3.855200+0 4.330100+8 3.688400+0 4.497600+8 3.501180+0 4.750000+8 3.227350+0 4.784700+8 3.191200+0 5.000000+8 2.976100+0 5.437500+8 2.591540+0 5.718800+8 2.373600+0 6.000000+8 2.173100+0 6.500000+8 1.866580+0 6.718800+8 1.762730+0 6.906300+8 1.690880+0 7.000000+8 1.660800+0 7.125000+8 1.626780+0 8.000000+8 1.463300+0 8.250000+8 1.412460+0 8.468800+8 1.364670+0 8.851600+8 1.279830+0 9.569300+8 1.136560+0 1.000000+9 1.068300+0 1.031300+9 1.028280+0 1.060500+9 9.967480-1 1.115500+9 9.485860-1 1.163500+9 9.144670-1 1.331800+9 8.190960-1 1.375000+9 7.957130-1 1.405400+9 7.789340-1 1.468500+9 7.425990-1 1.500000+9 7.236000-1 1.562500+9 6.843050-1 1.617200+9 6.492230-1 1.665000+9 6.186870-1 1.748800+9 5.666240-1 1.811600+9 5.295860-1 1.905800+9 4.779820-1 2.000000+9 4.315500-1 2.139200+9 3.721730-1 2.272600+9 3.241790-1 2.443000+9 2.732320-1 2.602800+9 2.340170-1 2.825100+9 1.902340-1 2.961100+9 1.683680-1 3.215900+9 1.351290-1 3.536500+9 1.040510-1 3.804800+9 8.462000-2 4.103600+9 6.801670-2 4.423800+9 5.450190-2 4.807900+9 4.242850-2 5.000000+9 3.765600-2 5.375000+9 3.012840-2 6.031300+9 2.100320-2 7.015600+9 1.298030-2 8.000000+9 8.513300-3 1.00000+10 4.154300-3 1.13510+10 2.771080-3 1.41440+10 1.380020-3 1.70770+10 7.635490-4 2.01080+10 4.588230-4 2.51010+10 2.310540-4 2.97820+10 1.367020-4 3.85600+10 6.223010-5 4.62400+10 3.592830-5 5.96800+10 1.669250-5 7.98400+10 7.007060-6 1.00000+11 3.594700-6 1.34280+11 1.507390-6 1.77440+11 6.657210-7 2.63330+11 2.106630-7 4.88110+11 3.541100-8 1.16740+12 2.929420-9 3.55150+12 1.26429-10 1.00000+14 1.13680-14 2.05350+15 2.35319-18 1.00000+17 3.97470-23 1 57000 7 0 1.389100+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.19000-11 1.000000+2 1.190000-9 1.000000+3 1.190000-7 1.000000+4 1.190000-5 1.000000+5 1.190000-3 5.000000+5 2.975000-2 7.500000+5 6.693750-2 1.000000+6 1.190000-1 1.250000+6 1.840910-1 1.500000+6 2.622000-1 1.875000+6 4.025190-1 2.000000+6 4.550000-1 2.375000+6 6.273560-1 2.500000+6 6.895000-1 2.875000+6 8.877820-1 3.000000+6 9.575000-1 3.250000+6 1.101290+0 3.625000+6 1.326350+0 4.000000+6 1.559600+0 4.437500+6 1.837850+0 4.812500+6 2.078580+0 5.000000+6 2.199000+0 5.500000+6 2.517150+0 5.875000+6 2.752450+0 6.437500+6 3.097650+0 6.500000+6 3.135270+0 7.000000+6 3.432600+0 7.500000+6 3.720490+0 8.250000+6 4.138200+0 8.500000+6 4.274170+0 9.000000+6 4.542400+0 1.000000+7 5.068000+0 1.250000+7 6.366900+0 1.500000+7 7.671000+0 1.750000+7 8.956500+0 2.000000+7 1.020400+1 2.250000+7 1.141050+1 2.375000+7 1.200090+1 2.500000+7 1.258300+1 2.875000+7 1.427310+1 3.000000+7 1.481400+1 3.250000+7 1.585150+1 3.500000+7 1.683110+1 3.625000+7 1.729840+1 4.000000+7 1.860900+1 4.500000+7 2.015720+1 5.000000+7 2.155500+1 5.500000+7 2.285820+1 6.000000+7 2.410900+1 6.750000+7 2.591690+1 7.000000+7 2.650200+1 8.000000+7 2.875900+1 9.000000+7 3.085400+1 1.000000+8 3.275800+1 1.125000+8 3.484410+1 1.250000+8 3.662300+1 1.359400+8 3.795250+1 1.437500+8 3.880520+1 1.453100+8 3.896690+1 1.500000+8 3.943800+1 1.589800+8 4.027940+1 1.665000+8 4.093780+1 1.748800+8 4.162130+1 1.750000+8 4.163080+1 1.838500+8 4.230940+1 1.946200+8 4.307740+1 2.000000+8 4.344300+1 2.281300+8 4.515300+1 2.359400+8 4.558290+1 2.375000+8 4.566410+1 2.453100+8 4.606480+1 2.500000+8 4.630100+1 2.562500+8 4.659680+1 2.671900+8 4.710180+1 2.877000+8 4.796140+1 2.959000+8 4.827950+1 3.000000+8 4.843600+1 3.500000+8 5.009400+1 3.625000+8 5.044670+1 4.000000+8 5.140300+1 4.179700+8 5.179820+1 4.330100+8 5.210610+1 4.497600+8 5.242690+1 4.750000+8 5.285530+1 4.784700+8 5.291240+1 5.000000+8 5.323200+1 5.437500+8 5.377290+1 5.718800+8 5.406530+1 6.000000+8 5.432000+1 6.500000+8 5.468510+1 6.718800+8 5.482210+1 6.906300+8 5.492870+1 7.000000+8 5.498100+1 7.125000+8 5.504200+1 8.000000+8 5.541900+1 8.250000+8 5.550400+1 8.468800+8 5.557650+1 8.851600+8 5.569900+1 9.569300+8 5.588840+1 1.000000+9 5.599500+1 1.031300+9 5.606000+1 1.060500+9 5.611900+1 1.115500+9 5.622600+1 1.163500+9 5.630630+1 1.331800+9 5.653350+1 1.375000+9 5.658070+1 1.405400+9 5.660870+1 1.468500+9 5.666480+1 1.500000+9 5.669200+1 1.562500+9 5.673300+1 1.617200+9 5.676750+1 1.665000+9 5.679080+1 1.748800+9 5.682790+1 1.811600+9 5.685460+1 1.905800+9 5.688250+1 2.000000+9 5.690900+1 2.139200+9 5.693360+1 2.272600+9 5.695570+1 2.443000+9 5.697640+1 2.602800+9 5.698670+1 2.825100+9 5.700000+1 2.961100+9 5.700760+1 3.215900+9 5.700900+1 3.536500+9 5.700880+1 3.804800+9 5.700860+1 4.103600+9 5.700840+1 4.423800+9 5.700540+1 4.807900+9 5.700170+1 5.000000+9 5.700000+1 5.375000+9 5.700000+1 6.031300+9 5.700000+1 7.015600+9 5.700000+1 8.000000+9 5.700000+1 1.00000+10 5.700000+1 1.13510+10 5.700000+1 1.41440+10 5.700000+1 1.70770+10 5.700000+1 2.01080+10 5.700000+1 2.51010+10 5.700000+1 2.97820+10 5.700000+1 3.85600+10 5.700000+1 4.62400+10 5.700000+1 5.96800+10 5.700000+1 7.98400+10 5.700000+1 1.00000+11 5.700000+1 1.34280+11 5.700000+1 1.77440+11 5.700000+1 2.63330+11 5.700000+1 4.88110+11 5.700000+1 1.16740+12 5.700000+1 3.55150+12 5.700000+1 1.00000+14 5.700000+1 2.05350+15 5.700000+1 1.00000+17 5.700000+1 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.136727-6 0.0 2.145931-6 3.687124+0 2.147246-6 4.208482+0 2.152505-6 7.687136+0 2.157764-6 1.296157+1 2.163681-6 2.127382+1 2.172803-6 3.711374+1 2.179459-6 4.783722+1 2.184544-6 5.341343+1 2.189877-6 5.529027+1 2.195314-6 5.263134+1 2.200620-6 4.626365+1 2.209295-6 3.146204+1 2.215616-6 2.066511+1 2.221204-6 1.300451+1 2.226135-6 7.950087+0 2.231559-6 4.306295+0 2.239215-6 1.140406+0 2.241880-6 1.392649-2 2.241893-6 8.236555-3 2.241895-6 7.721775-3 2.241902-6 4.546585-3 2.241907-6 2.557459-3 2.241909-6 1.438573-3 2.241911-6 7.192868-4 2.241912-6 1.798218-4 2.241913-6 0.0 2.278293-6 0.0 2.288106-6 7.631594+0 2.289508-6 8.710698+0 2.295116-6 1.591080+1 2.301074-6 2.775877+1 2.307032-6 4.403246+1 2.323505-6 9.822185+1 2.329670-6 1.108885+2 2.334775-6 1.145823+2 2.340493-6 1.095238+2 2.346306-6 9.604170+1 2.362409-6 4.277255+1 2.368016-6 2.761247+1 2.373624-6 1.645506+1 2.379232-6 9.052062+0 2.389067-6 1.133424+0 2.390447-6 2.93401-13 2.404812-6 1.39669-13 2.410520-6 9.01654-14 2.416229-6 5.37321-14 2.421937-6 2.95585-14 2.427645-6 1.50101-14 2.433354-6 0.0 2.460761-6 0.0 2.466818-6 1.834846-1 2.472875-6 3.630655-1 2.478932-6 6.631688-1 2.484989-6 1.118194+0 2.491046-6 1.740459+0 2.501645-6 3.112411+0 2.509216-6 4.060950+0 2.515273-6 4.589761+0 2.521330-6 4.788576+0 2.527387-6 4.611865+0 2.533444-6 4.100160+0 2.542529-6 2.957587+0 2.551614-6 1.782778+0 2.557671-6 1.150899+0 2.559238-6 1.030835+0 2.563728-6 7.626691-1 2.569785-6 5.562461-1 2.571836-6 5.278784-1 2.578135-6 5.088968-1 2.581899-6 5.493546-1 2.584435-6 6.571744-1 2.590734-6 1.022886+0 2.600183-6 1.709220+0 2.609632-6 2.386664+0 2.615931-6 2.697451+0 2.622230-6 2.814297+0 2.628529-6 2.710442+0 2.634828-6 2.409708+0 2.644277-6 1.738206+0 2.653726-6 1.047757+0 2.660025-6 6.763957-1 2.666325-6 4.030835-1 2.672624-6 2.217395-1 2.678923-6 1.126018-1 2.685222-6 0.0 2.700803-6 0.0 2.707451-6 2.003229-2 2.714099-6 3.963838-2 2.720746-6 7.240274-2 2.727394-6 1.220810-1 2.734042-6 1.900180-1 2.740689-6 2.730206-1 2.747337-6 3.621179-1 2.753985-6 4.433621-1 2.760632-6 5.010960-1 2.767280-6 5.228020-1 2.773928-6 5.035093-1 2.780575-6 4.476429-1 2.787223-6 3.673752-1 2.800518-6 1.946382-1 2.807166-6 1.256516-1 2.813814-6 7.487939-2 2.820461-6 4.119177-2 2.827109-6 2.091764-2 2.833757-6 0.0 3.205403-6 0.0 3.213293-6 5.16824-15 3.221182-6 1.02265-14 3.229072-6 1.86796-14 3.236962-6 3.14963-14 3.244852-6 4.90238-14 3.252741-6 7.04380-14 3.260631-6 9.34247-14 3.268521-6 1.14385-13 3.276410-6 1.29280-13 3.284300-6 1.34880-13 3.292190-6 1.29903-13 3.300079-6 1.15490-13 3.307969-6 9.47811-14 3.323748-6 5.02157-14 3.331638-6 3.24175-14 3.339528-6 1.93185-14 3.347418-6 1.06273-14 3.355307-6 5.39665-15 3.363197-6 0.0 3.387862-6 0.0 3.396201-6 1.030579-8 3.404540-6 2.039232-8 3.412878-6 3.724825-8 3.421217-6 6.280566-8 3.429556-6 9.775649-8 3.437895-6 1.404579-7 3.446234-6 1.862949-7 3.454572-6 2.280916-7 3.462990-6 2.578986-7 3.471250-6 2.689602-7 3.479589-6 2.590349-7 3.487928-6 2.302940-7 3.496266-6 1.889995-7 3.512944-6 1.001334-7 3.521283-6 6.464263-8 3.529622-6 3.852238-8 3.537960-6 2.119148-8 3.546299-6 1.076127-8 3.554638-6 0.0 3.627914-6 0.0 3.636843-6 5.642424-9 3.645773-6 1.116480-8 3.654702-6 2.039342-8 3.663632-6 3.438611-8 3.673306-6 5.546653-8 3.680001-6 2.859922-6 3.691389-6 1.442738-5 3.698117-6 2.302004-5 3.700430-6 2.689347-5 3.705777-6 3.772335-5 3.724020-6 9.492340-2 3.733141-6 1.733457-1 3.742262-6 2.922334-1 3.746163-6 3.616592-1 3.754388-6 6.802564-1 3.765451-6 1.149835+0 3.775195-6 1.695396+0 3.785347-6 2.397630+0 3.810708-6 4.380026+0 3.820505-6 4.961819+0 3.829149-6 5.254170+0 3.840027-6 5.176216+0 3.848743-6 4.803942+0 3.858353-6 4.103518+0 3.884474-6 1.763401+0 3.893727-6 1.123544+0 3.903218-6 6.606374-1 3.912136-6 3.688576-1 3.928622-6 3.979066-2 3.930577-6 4.737756-3 3.948033-6 4.672829-2 3.957631-6 8.483460-2 3.967301-6 1.430413-1 3.976971-6 2.226413-1 4.001590-6 4.734777-1 4.007613-6 5.308751-1 4.017103-6 5.909373-1 4.026594-6 6.095839-1 4.036084-6 5.825573-1 4.045575-6 5.156114-1 4.073669-6 2.280530-1 4.083339-6 1.472231-1 4.093009-6 8.773442-2 4.102678-6 4.826345-2 4.115979-6 1.531906-2 4.122018-6 1.341394-7 4.126061-6 1.666225-7 4.128287-6 1.915244-7 4.148610-6 2.480814-2 4.158771-6 4.531389-2 4.168932-6 7.647366-2 4.179094-6 1.216831-1 4.209716-6 2.945353-1 4.219977-6 3.397119-1 4.230237-6 3.638414-1 4.240498-6 3.627567-1 4.252383-6 3.308925-1 4.279398-6 2.133413-1 4.291801-6 2.210174-1 4.301029-6 2.418106-1 4.311190-6 3.089722-1 4.322583-6 4.464756-1 4.332844-6 6.162877-1 4.357050-6 1.117397+0 4.372390-6 1.345844+0 4.384730-6 1.413802+0 4.397028-6 1.337984+0 4.424429-6 9.523199-1 4.430317-6 8.644564-1 4.440404-6 7.524432-1 4.448840-6 6.842795-1 4.461385-6 6.242723-1 4.478515-6 5.658206-1 4.486301-6 5.251186-1 4.490062-6 4.942431-1 4.500347-6 4.513389-1 4.522178-6 3.386872-1 4.529307-6 3.086120-1 4.536855-6 2.928257-1 4.544010-6 2.910950-1 4.554926-6 2.985462-1 4.568997-6 3.303191-1 4.583064-6 3.746976-1 4.626591-6 6.019706-1 4.637574-6 6.366206-1 4.648556-6 6.474672-1 4.667993-6 6.107804-1 4.688494-6 5.585126-1 4.704318-6 5.486139-1 4.715757-6 5.680961-1 4.734639-6 6.566631-1 4.772948-6 8.803621-1 4.784392-6 9.097594-1 4.796111-6 8.971375-1 4.810108-6 8.279132-1 4.843288-6 5.618676-1 4.855652-6 4.818121-1 4.865258-6 4.373362-1 4.878140-6 4.076698-1 4.895706-6 4.021323-1 4.910225-6 4.306593-1 4.945917-6 5.514461-1 4.974665-6 6.189225-1 5.028476-6 7.121636-1 5.050826-6 7.075387-1 5.093716-6 5.983932-1 5.114786-6 5.611576-1 5.135787-6 5.608788-1 5.202958-6 6.598611-1 5.231216-6 6.480349-1 5.281033-6 6.111571-1 5.340928-6 6.154223-1 5.434540-6 6.657146-1 5.594832-6 6.802771-1 5.765030-6 7.254075-1 6.918310-6 9.567959-1 9.232227-6 1.429011+0 1.081768-5 1.648089+0 1.223976-5 1.735940+0 1.389113-5 1.717701+0 1.649252-5 1.532845+0 1.953165-5 1.254111+0 1.962780-5 3.331421+0 1.967588-5 5.051213+0 1.972395-5 7.660950+0 1.977203-5 1.130512+1 1.986898-5 3.905060+1 1.991764-5 5.879597+1 1.997239-5 8.935421+1 2.002106-5 1.231042+2 2.013359-5 2.101336+2 2.016401-5 2.306885+2 2.021751-5 2.527526+2 2.026323-5 2.563941+2 2.031143-5 2.423632+2 2.036240-5 2.104036+2 2.050163-5 9.300127+1 2.055029-5 6.044958+1 2.059896-5 3.649134+1 2.064762-5 2.059363+1 2.072062-5 6.093812+0 2.074495-5 1.151605+0 2.223823-5 1.036904+0 2.234771-5 1.146608+1 2.240244-5 2.008934+1 2.246060-5 3.428143+1 2.251515-5 5.238076+1 2.267784-5 1.182206+2 2.273852-5 1.337417+2 2.278814-5 1.384211+2 2.284641-5 1.318234+2 2.291492-5 1.110273+2 2.305928-5 5.222896+1 2.311402-5 3.406042+1 2.316876-5 2.070759+1 2.322349-5 1.195042+1 2.333297-5 1.413838+0 2.338757-5 1.699754+0 2.344458-5 2.109246+0 2.361559-5 3.639009+0 2.367260-5 4.094281+0 2.372960-5 4.377689+0 2.378660-5 4.477334+0 2.392494-5 4.455917+0 2.401462-5 4.683108+0 2.416693-5 5.394421+0 2.422526-5 5.461226+0 2.428360-5 5.310664+0 2.447722-5 4.228738+0 2.451694-5 4.076176+0 2.457635-5 3.969215+0 2.493006-5 4.347398+0 2.552114-5 4.084439+0 2.587030-5 4.054676+0 2.606069-5 4.207411+0 2.619050-5 4.479744+0 2.643913-5 5.283572+0 2.692691-5 6.158348+0 2.705690-5 6.100199+0 2.733298-5 5.420000+0 2.763835-5 5.429072+0 2.855245-5 5.236416+0 3.193520-5 4.135969+0 3.573676-5 3.166074+0 3.928263-5 2.495749+0 4.015023-5 2.395699+0 4.073803-5 2.425656+0 4.160594-5 2.169573+0 4.687459-5 1.667788+0 5.150000-5 1.366047+0 5.578923-5 1.175432+0 6.022991-5 1.036329+0 6.658180-5 9.055014-1 7.464315-5 8.077147-1 8.647414-5 7.365624-1 9.932036-5 7.037349-1 9.965902-5 1.669424+0 9.980928-5 1.071339+1 1.001496-4 3.179635+1 1.003949-4 5.683658+1 1.006402-4 9.437092+1 1.008855-4 1.451508+2 1.016367-4 3.329048+2 1.018892-4 3.724164+2 1.021449-4 3.830547+2 1.024114-4 3.611783+2 1.027332-4 3.085096+2 1.031671-4 2.206623+2 1.033610-4 1.929484+2 1.036063-4 1.750054+2 1.038551-4 1.777426+2 1.041433-4 2.004563+2 1.044427-4 2.301270+2 1.046204-4 2.428979+2 1.048055-4 2.541345+2 1.049279-4 2.587134+2 1.051878-4 2.477565+2 1.054459-4 2.183537+2 1.061802-4 9.686466+1 1.064323-4 6.277844+1 1.066843-4 3.769189+1 1.069363-4 2.104686+1 1.073797-4 3.188992+0 1.074404-4 6.940543-1 1.082018-4 6.937674-1 1.087344-4 7.854503-1 1.090007-4 8.613334-1 1.092671-4 9.765487-1 1.095334-4 1.134293+0 1.103394-4 1.767067+0 1.106508-4 1.950357+0 1.109175-4 2.039423+0 1.112489-4 2.057738+0 1.120697-4 1.989096+0 1.123227-4 2.023173+0 1.128098-4 2.225148+0 1.133391-4 2.557659+0 1.138589-4 2.810931+0 1.144304-4 2.889096+0 1.151510-4 2.848142+0 1.159836-4 2.933584+0 1.183878-4 3.604198+0 1.208083-4 4.275648+0 1.230269-4 4.647873+0 1.255000-4 4.723074+0 1.290036-4 4.421694+0 1.380616-4 3.279006+0 1.445440-4 2.651251+0 1.500059-4 2.270986+0 1.555000-4 2.013061+0 1.607886-4 1.865100+0 1.688496-4 1.783635+0 1.768944-4 1.825484+0 1.865000-4 1.977743+0 1.926930-4 2.124646+0 1.968966-4 2.250101+0 1.983505-4 2.435944+0 1.994026-4 2.760512+0 2.008499-4 3.365476+0 2.013402-4 3.505421+0 2.018538-4 3.570270+0 2.023585-4 3.552448+0 2.040795-4 3.252212+0 2.052919-4 3.241001+0 2.080995-4 3.507839+0 2.166016-4 3.878664+0 2.196167-4 4.118496+0 2.273187-4 4.516450+0 2.717561-4 5.848790+0 2.777821-4 6.528156+0 3.311311-4 7.493580+0 3.840000-4 7.993949+0 4.567280-4 8.167171+0 5.682094-4 7.857051+0 8.154488-4 6.550903+0 8.194630-4 1.440967+1 8.215311-4 2.122203+1 8.235532-4 3.130437+1 8.255752-4 4.503433+1 8.313985-4 9.376854+1 8.336901-4 1.080796+2 8.356857-4 1.144634+2 8.377078-4 1.138577+2 8.447115-4 9.238213+1 8.472800-4 9.010478+1 8.528939-4 9.100095+1 8.553074-4 8.513802+1 8.584248-4 7.376317+1 8.640387-4 4.842680+1 8.658000-4 4.250862+1 8.674054-4 3.843504+1 8.697506-4 3.508900+1 8.734932-4 3.188799+1 8.813119-4 3.356099+1 9.055162-4 3.405330+1 1.062124-3 2.797180+1 1.096752-3 2.722797+1 1.104886-3 2.806979+1 1.117607-3 3.042546+1 1.126282-3 3.047382+1 1.151635-3 2.909645+1 1.185379-3 2.867976+1 1.205278-3 2.949632+1 1.325372-3 2.624904+1 1.373226-3 2.624315+1 1.649482-3 2.092996+1 1.938653-3 1.692049+1 2.193398-3 1.427841+1 2.583840-3 1.132461+1 2.930050-3 9.431419+0 3.364147-3 7.680853+0 3.843158-3 6.275878+0 4.376828-3 5.135820+0 5.026771-3 4.133431+0 5.347821-3 3.759378+0 5.385153-3 3.967055+0 5.406445-3 4.349567+0 5.424133-3 4.918292+0 5.442770-3 5.774248+0 5.492172-3 8.578360+0 5.520677-3 9.630649+0 5.552080-3 1.010082+1 5.680496-3 9.931960+0 5.787525-3 9.736912+0 5.829654-3 1.000545+1 5.878433-3 1.100268+1 5.928988-3 1.212137+1 5.975357-3 1.245675+1 6.177020-3 1.213583+1 6.298569-3 1.310111+1 6.502692-3 1.269421+1 7.518971-3 1.013210+1 8.629041-3 8.128516+0 9.868284-3 6.532068+0 1.126873-2 5.248137+0 1.285519-2 4.206414+0 1.461573-2 3.378766+0 1.662755-2 2.706386+0 1.864769-2 2.215535+0 2.098487-2 1.801017+0 2.353212-2 1.469719+0 2.657585-2 1.183150+0 2.991233-2 9.566988-1 3.345820-2 7.812556-1 3.776632-2 6.269506-1 3.809758-2 6.298724-1 3.825337-2 6.612975-1 3.836336-2 7.179974-1 3.846239-2 8.100219-1 3.856930-2 9.690003-1 3.867524-2 1.195955+0 3.881646-2 1.599390+0 3.913533-2 2.625974+0 3.931189-2 3.026454+0 3.947665-2 3.229732+0 3.979563-2 3.330953+0 4.685422-2 2.565061+0 5.324147-2 2.079741+0 6.051264-2 1.672954+0 6.720836-2 1.395240+0 7.597917-2 1.126310+0 8.561587-2 9.115115-1 9.498384-2 7.566879-1 1.055544-1 6.252475-1 1.170666-1 5.183424-1 1.303654-1 4.257438-1 1.446350-1 3.520534-1 1.611430-1 2.889172-1 1.788867-1 2.386599-1 2.004550-1 1.938587-1 2.225058-1 1.605459-1 2.471351-1 1.329747-1 2.747524-1 1.103236-1 3.038205-1 9.259252-2 3.392711-1 7.672860-2 3.801894-1 6.355486-2 4.257746-1 5.300353-2 4.786301-1 4.424739-2 5.399378-1 3.704179-2 6.201546-1 3.052812-2 6.998420-1 2.606578-2 8.006044-1 2.213599-2 9.468801-1 1.830532-2 1.120833+0 1.528430-2 1.286622+0 1.313962-2 1.546860+0 1.073759-2 1.859734+0 8.774676-3 2.235892+0 7.170597-3 2.688134+0 5.859756-3 3.231848+0 4.788547-3 3.885536+0 3.913163-3 4.671441+0 3.197806-3 5.616308+0 2.613222-3 6.752287+0 2.135505-3 8.118035+0 1.745118-3 9.760024+0 1.426097-3 1.000000+1 2.915406-3 1 57000 7 0 1.389100+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-5.642521+1 1.711478-6-5.390303+1 1.940708-6-5.058095+1 2.040348-6-4.671483+1 2.086628-6-4.287356+1 2.114243-6-3.850977+1 2.129314-6-3.415476+1 2.136336-6-3.050316+1 2.141986-6-2.673714+1 2.147246-6-2.346978+1 2.153162-6-1.921330+1 2.159572-6-1.535830+1 2.163681-6-1.395939+1 2.166557-6-1.390863+1 2.169598-6-1.465304+1 2.172803-6-1.668595+1 2.176583-6-2.073394+1 2.178801-6-2.404833+1 2.183629-6-3.271633+1 2.189564-6-4.600963+1 2.194746-6-5.681643+1 2.201669-6-4.466336+1 2.206582-6-3.952054+1 2.210357-6-3.770609+1 2.215200-6-3.766164+1 2.221204-6-4.065893+1 2.242161-6-5.673738+1 2.254342-6-4.809103+1 2.270063-6-3.741373+1 2.276340-6-3.133668+1 2.280335-6-2.542608+1 2.288807-6-1.566519+1 2.295116-6-7.030250+0 2.295466-6-6.423830+0 2.296124-6-5.515949+0 2.300724-6-2.179885-1 2.301074-6 2.976042-1 2.301731-6 1.001344+0 2.302881-6 1.942696+0 2.307032-6 4.413074+0 2.308259-6 4.612624+0 2.309179-6 4.530447+0 2.310559-6 4.116897+0 2.311939-6 3.442360+0 2.312845-6 2.833316+0 2.313638-6 2.130107+0 2.315025-6 5.860287-1 2.316065-6-8.303448-1 2.316845-6-2.043441+0 2.318016-6-4.126871+0 2.318601-6-5.305105+0 2.320178-6-8.992405+0 2.321480-6-1.234720+1 2.322945-6-1.683750+1 2.323505-6-1.898700+1 2.327284-6-3.206421+1 2.328850-6-3.893358+1 2.333190-6-5.690039+1 2.334775-6-4.891067+1 2.341129-6-2.119762+1 2.345585-6-5.133451+0 2.345831-6-4.145698+0 2.346306-6-2.518449+0 2.347197-6 1.654816-1 2.347977-6 2.266339+0 2.349342-6 5.533302+0 2.350366-6 7.700219+0 2.351901-6 1.056369+1 2.353436-6 1.304463+1 2.355539-6 1.574780+1 2.357257-6 1.732214+1 2.359511-6 1.854966+1 2.361684-6 1.866358+1 2.366614-6 1.584860+1 2.368016-6 1.436186+1 2.368717-6 1.344949+1 2.372397-6 9.622974+0 2.373011-6 8.857228+0 2.373624-6 7.900550+0 2.379232-6 6.796516-1 2.379760-6-1.226735-1 2.380751-6-1.356093+0 2.387687-6-8.723325+0 2.389757-6-1.128057+1 2.390896-6-1.325986+1 2.392581-6-1.539966+1 2.395448-6-1.816214+1 2.399545-6-2.124502+1 2.407666-6-2.579131+1 2.419083-6-3.029995+1 2.436780-6-3.510082+1 2.478932-6-4.273980+1 2.501645-6-4.500578+1 2.527387-6-4.316878+1 2.545557-6-4.244877+1 2.600183-6-4.719911+1 2.650577-6-4.570959+1 2.747337-6-4.916518+1 3.221182-6-5.265514+1 3.705777-6-5.506225+1 3.797351-6-5.667736+1 3.840027-6-5.302250+1 3.874947-6-5.072032+1 3.995568-6-5.349540+1 4.374197-6-5.451184+1 4.490062-6-5.390201+1 6.918310-6-5.529393+1 1.207279-5-5.643905+1 1.549227-5-5.164328+1 1.704194-5-4.686368+1 1.795090-5-4.138798+1 1.845843-5-3.605187+1 1.880300-5-3.032958+1 1.903915-5-2.448248+1 1.920171-5-1.881431+1 1.931062-5-1.377631+1 1.936242-5-1.086523+1 1.940473-5-8.158246+0 1.943646-5-5.886489+0 1.946026-5-4.017166+0 1.947811-5-2.503879+0 1.950488-5-1.024767-2 1.951827-5 1.371222+0 1.957973-5 8.637618+0 1.961578-5 1.332041+1 1.966386-5 2.082106+1 1.971193-5 2.991744+1 1.974799-5 3.842377+1 1.976902-5 4.487911+1 1.978093-5 4.976467+1 1.979193-5 5.303006+1 1.993437-5 8.706485+1 1.998304-5 9.405531+1 2.003246-5 9.342150+1 2.006646-5 8.593272+1 2.009941-5 7.304639+1 2.013359-5 5.264140+1 2.015327-5 3.834900+1 2.016097-5 3.134268+1 2.016401-5 2.828978+1 2.018682-5 8.040865+0 2.019253-5 2.785669+0 2.019680-5-1.303805+0 2.020001-5-4.485317+0 2.020242-5-6.956988+0 2.020783-5-1.296432+1 2.021189-5-1.828000+1 2.022261-5-2.993620+1 2.024799-5-5.619132+1 2.025810-5-4.409121+1 2.026323-5-3.738020+1 2.030697-5 8.753265+0 2.030849-5 1.072254+1 2.031143-5 1.401014+1 2.032179-5 2.413281+1 2.036240-5 5.894296+1 2.038691-5 7.444480+1 2.041929-5 8.861564+1 2.044647-5 9.625431+1 2.047836-5 1.004235+2 2.050163-5 9.898574+1 2.054421-5 9.145388+1 2.059896-5 7.487848+1 2.066435-5 5.325678+1 2.073279-5 3.451242+1 2.074495-5 2.985067+1 2.075283-5 2.664840+1 2.077365-5 2.070065+1 2.079416-5 1.604902+1 2.081442-5 1.211509+1 2.083436-5 8.699150+0 2.085399-5 5.678280+0 2.087332-5 2.972701+0 2.089234-5 5.261697-1 2.091107-5-1.703092+0 2.092951-5-3.747277+0 2.094765-5-5.631859+0 2.098338-5-9.025920+0 2.101799-5-1.197941+1 2.108399-5-1.690183+1 2.117547-5-2.259947+1 2.133581-5-3.062061+1 2.192765-5-5.468941+1 2.197034-5-5.613923+1 2.211465-5-4.718276+1 2.219961-5-3.921950+1 2.223238-5-3.459187+1 2.225263-5-3.065556+1 2.233787-5-1.884086+1 2.240244-5-8.120998+0 2.240586-5-7.398052+0 2.241228-5-6.316414+0 2.245718-5 1.707673-2 2.246060-5 6.363176-1 2.246702-5 1.483617+0 2.247824-5 2.623833+0 2.251192-5 5.247177+0 2.251515-5 5.583622+0 2.252142-5 5.909619+0 2.253317-5 6.052630+0 2.254345-5 5.827170+0 2.255245-5 5.403296+0 2.256032-5 4.871163+0 2.257410-5 3.591570+0 2.258443-5 2.343417+0 2.259218-5 1.241868+0 2.260381-5-6.914704-1 2.260962-5-1.798273+0 2.261543-5-3.037342+0 2.263061-5-6.557629+0 2.264199-5-9.493074+0 2.265692-5-1.390206+1 2.267253-5-1.950723+1 2.267784-5-2.199475+1 2.271968-5-3.991730+1 2.274923-5-5.587194+1 2.276173-5-5.125661+1 2.278488-5-3.849850+1 2.278814-5-3.617278+1 2.284034-5-8.141946+0 2.284240-5-6.757547+0 2.284641-5-4.497362+0 2.285392-5-7.303526-1 2.286048-5 2.290650+0 2.287198-5 7.193435+0 2.291492-5 2.426791+1 2.293450-5 3.024287+1 2.296700-5 3.745353+1 2.299849-5 4.194681+1 2.302509-5 4.402008+1 2.305073-5 4.440051+1 2.310734-5 4.018782+1 2.316277-5 3.234096+1 2.324316-5 1.901054+1 2.331052-5 9.872589+0 2.332735-5 7.126175+0 2.333638-5 5.084921+0 2.334278-5 3.919256+0 2.335398-5 2.210948+0 2.337078-5 3.980542-2 2.338757-5-1.855502+0 2.340183-5-3.303990+0 2.342320-5-5.247194+0 2.344458-5-6.993220+0 2.346582-5-8.557867+0 2.349768-5-1.061770+1 2.355106-5-1.348904+1 2.363408-5-1.687295+1 2.372960-5-1.955726+1 2.401462-5-2.532750+1 2.416693-5-2.706784+1 2.440406-5-2.855619+1 2.477964-5-3.235749+1 2.633412-5-3.953091+1 2.699190-5-3.950418+1 3.290112-5-4.237359+1 6.658180-5-5.119108+1 7.340389-5-5.421822+1 8.192000-5-4.837864+1 8.647414-5-4.269815+1 8.963438-5-3.639846+1 9.133936-5-3.152158+1 9.274422-5-2.622507+1 9.390924-5-2.050958+1 9.485559-5-1.457248+1 9.539624-5-1.045101+1 9.587143-5-6.252948+0 9.608699-5-4.134888+0 9.628907-5-2.008662+0 9.647853-5 1.221826-1 9.665614-5 2.253894+0 9.682266-5 4.382729+0 9.712511-5 8.616976+0 9.740000-5 1.294743+1 9.763962-5 1.717113+1 9.803354-5 2.525970+1 9.833514-5 3.270196+1 9.866034-5 4.240731+1 9.895956-5 5.355155+1 9.921594-5 6.563985+1 9.946852-5 8.154028+1 9.964116-5 9.682734+1 9.971067-5 1.055335+2 1.001496-4 1.459902+2 1.004256-4 1.755692+2 1.007245-4 2.020160+2 1.009624-4 2.122651+2 1.011934-4 2.047050+2 1.014170-4 1.817533+2 1.015710-4 1.540750+2 1.018236-4 9.048878+1 1.018667-4 7.649302+1 1.019171-4 6.007243+1 1.020572-4 1.960080+1 1.020914-4 8.726219+0 1.021017-4 5.134635+0 1.021069-4 3.203230+0 1.021094-4 2.168955+0 1.021120-4 9.966779-1 1.021158-4-6.914913-1 1.021234-4-3.531995+0 1.021307-4-6.078111+0 1.021581-4-1.482664+1 1.022041-4-2.812015+1 1.023057-4-5.535861+1 1.023560-4-4.106048+1 1.023871-4-3.184391+1 1.024405-4-1.896169+1 1.024900-4-8.345475+0 1.025102-4-4.260952+0 1.026750-4 2.728274+1 1.027332-4 3.625466+1 1.028076-4 4.530606+1 1.028892-4 5.280870+1 1.029771-4 5.825550+1 1.030804-4 6.090565+1 1.031463-4 5.967102+1 1.032956-4 5.166064+1 1.033385-4 4.761136+1 1.033889-4 4.271152+1 1.035142-4 3.301195+1 1.035655-4 2.791679+1 1.035838-4 2.520508+1 1.036063-4 2.198670+1 1.036585-4 1.688919+1 1.037971-4 5.934113+0 1.038131-4 4.456123+0 1.038211-4 3.613362+0 1.038291-4 2.543540+0 1.038329-4 1.973753+0 1.038405-4 1.121441+0 1.038551-4-2.236429-1 1.038688-4-1.290724+0 1.038945-4-2.979249+0 1.039170-4-4.218434+0 1.039367-4-5.163857+0 1.039711-4-6.574840+0 1.040851-4-1.051802+1 1.041057-4-1.099265+1 1.041433-4-1.127564+1 1.041923-4-1.087151+1 1.042447-4-9.627029+0 1.042848-4-8.134917+0 1.043176-4-6.557943+0 1.043422-4-5.144228+0 1.043606-4-3.935892+0 1.043883-4-1.823593+0 1.044021-4-5.715810-1 1.044090-4 1.417558-1 1.044159-4 1.016676+0 1.044252-4 2.160365+0 1.044427-4 3.874219+0 1.044733-4 6.520710+0 1.045191-4 1.010116+1 1.045535-4 1.238350+1 1.045714-4 1.297786+1 1.045835-4 1.372087+1 1.046046-4 1.549728+1 1.046204-4 1.711461+1 1.046561-4 2.170088+1 1.046911-4 2.774992+1 1.048342-4 4.834157+1 1.049093-4 6.135265+1 1.049279-4 6.581425+1 1.052690-4 1.256235+2 1.054867-4 1.569488+2 1.056923-4 1.750870+2 1.059128-4 1.853490+2 1.061426-4 1.855811+2 1.064323-4 1.711651+2 1.070679-4 1.242969+2 1.074101-4 1.020765+2 1.075093-4 9.353208+1 1.077056-4 8.243047+1 1.079607-4 7.169796+1 1.084030-4 5.781451+1 1.087344-4 4.977143+1 1.092671-4 3.944214+1 1.098911-4 3.018862+1 1.103394-4 2.494764+1 1.109175-4 1.949127+1 1.115532-4 1.448263+1 1.123227-4 9.158608+0 1.128098-4 6.252216+0 1.129685-4 5.356973+0 1.133391-4 3.522329+0 1.138589-4 1.316035+0 1.141728-4 1.446002-1 1.142395-4-1.012524-1 1.151510-4-3.265220+0 1.156659-4-4.951732+0 1.167249-4-8.001199+0 1.179279-4-1.079093+1 1.194276-4-1.352003+1 1.218221-4-1.658053+1 1.255000-4-1.947531+1 1.334104-4-2.338257+1 1.458660-4-2.748362+1 1.660000-4-3.169838+1 2.074399-4-3.726618+1 2.741088-4-3.610119+1 4.265795-4-3.282008+1 5.682094-4-3.216897+1 6.822573-4-3.385423+1 7.501745-4-3.671330+1 7.941306-4-4.053359+1 8.194630-4-4.490610+1 8.328101-4-4.965835+1 8.472800-4-5.769540+1 8.576780-4-5.798328+1 8.684887-4-5.474345+1 8.856555-4-4.559461+1 9.055162-4-3.926859+1 9.330233-4-3.375695+1 9.650088-4-2.987524+1 1.005981-3-2.671469+1 1.062124-3-2.419542+1 1.099717-3-2.381533+1 1.122728-3-2.466356+1 1.151635-3-2.178764+1 1.179673-3-2.038092+1 1.205278-3-1.990218+1 1.244094-3-1.750669+1 1.296384-3-1.560784+1 1.335707-3-1.492590+1 1.359796-3-1.438694+1 1.398379-3-1.282762+1 1.480574-3-1.085129+1 1.603245-3-8.901692+0 1.738369-3-7.457772+0 1.895647-3-6.328281+0 2.063238-3-5.557854+0 2.277995-3-4.977375+0 2.463556-3-4.698036+0 2.799360-3-4.531030+0 3.219953-3-4.665807+0 3.681541-3-5.086387+0 4.208818-3-5.867539+0 4.647005-3-6.867881+0 4.949434-3-7.942701+0 5.150804-3-9.073666+0 5.283896-3-1.029882+1 5.366141-3-1.166489+1 5.429513-3-1.367751+1 5.466951-3-1.476075+1 5.499697-3-1.480006+1 5.552080-3-1.330708+1 5.609943-3-1.176499+1 5.680496-3-1.088913+1 5.763928-3-1.058604+1 5.829654-3-1.094586+1 5.894432-3-1.137687+1 5.942774-3-1.083349+1 6.025541-3-9.316841+0 6.099779-3-8.608282+0 6.238571-3-8.280548+0 6.298569-3-7.609828+0 6.383217-3-6.530719+0 6.502692-3-5.565751+0 6.620264-3-4.880126+0 6.854291-3-3.872791+0 7.107531-3-3.068057+0 7.350029-3-2.489665+0 7.664323-3-1.914189+0 7.829788-3-1.669421+0 8.155305-3-1.277062+0 8.416461-3-1.028981+0 8.779636-3-7.578408-1 9.015711-3-6.177597-1 9.406705-3-4.367553-1 9.699238-3-3.335040-1 9.964087-3-2.571373-1 1.031477-2-1.738035-1 1.041118-2-1.535943-1 1.063980-2-1.132603-1 1.085504-2-8.111874-2 1.112709-2-5.203983-2 1.139291-2-2.894246-2 1.150897-2-2.050046-2 1.165273-2-1.333490-2 1.178072-2-7.482305-3 1.189778-2-3.181840-3 1.191650-2-2.449668-3 1.194905-2-1.446108-3 1.200759-2-7.734278-5 1.203373-2 5.384280-4 1.211818-2 2.173078-3 1.226253-2 5.284687-3 1.236641-2 6.443567-3 1.237756-2 6.462360-3 1.253586-2 5.577691-3 1.274868-2 4.921989-3 1.290105-2 4.278994-3 1.299698-2 2.688997-3 1.305177-2 1.841589-3 1.311475-2 5.026934-4 1.319672-2-1.203016-3 1.325195-2-2.241147-3 1.332562-2-3.988874-3 1.335127-2-4.806168-3 1.346103-2-9.049797-3 1.379391-2-2.137993-2 1.428894-2-4.239083-2 1.461573-2-5.979286-2 1.525589-2-9.924994-2 1.699161-2-2.189588-1 2.769117-2-1.030826+0 3.091964-2-1.320596+0 3.345820-2-1.622002+0 3.515061-2-1.909190+0 3.636406-2-2.214678+0 3.714859-2-2.511671+0 3.776632-2-2.880056+0 3.815509-2-3.281860+0 3.853883-2-3.965101+0 3.881646-2-4.411174+0 3.899622-2-4.442150+0 3.921445-2-4.152650+0 3.969941-2-3.175322+0 3.998174-2-2.795172+0 4.040529-2-2.423933+0 4.098288-2-2.077987+0 4.170771-2-1.773614+0 4.278091-2-1.446782+0 4.387221-2-1.203093+0 4.493431-2-1.023262+0 4.621211-2-8.525735-1 4.788884-2-6.823568-1 4.958960-2-5.493881-1 5.189688-2-4.137558-1 5.324147-2-3.500336-1 5.459936-2-2.965680-1 5.723944-2-2.169173-1 5.888437-2-1.779554-1 6.051264-2-1.465358-1 6.192593-2-1.246764-1 6.380518-2-1.002120-1 6.539471-2-8.425054-2 6.720836-2-6.938780-2 6.914547-2-5.670943-2 7.215634-2-4.353327-2 7.402274-2-3.741106-2 7.597917-2-3.316113-2 7.773341-2-3.139153-2 7.999754-2-3.015031-2 8.348612-2-3.189088-2 8.652059-2-3.467401-2 9.279982-2-4.479262-2 9.959751-2-5.993181-2 1.256276-1-1.252207-1 1.446350-1-1.677010-1 1.666047-1-2.081575-1 2.004550-1-2.550311-1 2.471351-1-2.990329-1 3.148371-1-3.379863-1 4.257746-1-3.713672-1 6.456542-1-3.977721-1 1.232916+0-4.135290-1 3.710658+0-4.191285-1 1.000000+1-4.196226-1 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.577188-1 1.075492-6 5.254732-1 1.102705-6 6.025857-1 1.129067-6 6.876134-1 1.154605-6 7.810672-1 1.179346-6 8.834763-1 1.203313-6 9.953889-1 1.226531-6 1.117372+0 1.249024-6 1.250014+0 1.270813-6 1.393920+0 1.291922-6 1.549717+0 1.312371-6 1.718053+0 1.332181-6 1.899595+0 1.351372-6 2.095032+0 1.387974-6 2.530441+0 1.422324-6 3.030197+0 1.454560-6 3.600541+0 1.484813-6 4.248894+0 1.499235-6 4.607144+0 1.526739-6 5.388236+0 1.552962-6 6.275656+0 1.577545-6 7.268846+0 1.600592-6 8.376295+0 1.622198-6 9.606479+0 1.642454-6 1.096807+1 1.661444-6 1.246989+1 1.679247-6 1.412089+1 1.695938-6 1.593012+1 1.711585-6 1.790665+1 1.726254-6 2.005953+1 1.740007-6 2.239778+1 1.752900-6 2.493031+1 1.764987-6 2.766589+1 1.776319-6 3.061312+1 1.786942-6 3.378036+1 1.796902-6 3.717574+1 1.806239-6 4.080709+1 1.814992-6 4.468196+1 1.823199-6 4.880759+1 1.830892-6 5.319095+1 1.838105-6 5.783885+1 1.844867-6 6.275812+1 1.851206-6 6.795575+1 1.857149-6 7.343882+1 1.862720-6 7.921415+1 1.867944-6 8.528800+1 1.872841-6 9.166616+1 1.877432-6 9.835458+1 1.881736-6 1.053604+2 1.889553-6 1.203649+2 1.896646-6 1.373912+2 1.902852-6 1.561324+2 1.908282-6 1.767829+2 1.913034-6 1.994507+2 1.917191-6 2.240725+2 1.920829-6 2.503808+2 1.924012-6 2.779335+2 1.926798-6 3.061827+2 1.929235-6 3.345521+2 1.931367-6 3.625016+2 1.933233-6 3.895703+2 1.936498-6 4.433341+2 1.947717-6 6.980043+2 1.951085-6 7.960784+2 1.954678-6 9.101117+2 1.955876-6 9.499070+2 1.960666-6 1.114844+3 1.961265-6 1.135807+3 1.965457-6 1.281461+3 1.967103-6 1.336979+3 1.970247-6 1.437526+3 1.971894-6 1.486257+3 1.973466-6 1.529559+3 1.975038-6 1.569226+3 1.977134-6 1.615659+3 1.979155-6 1.652570+3 1.981026-6 1.679145+3 1.982598-6 1.695407+3 1.984619-6 1.707743+3 1.987314-6 1.708594+3 1.989559-6 1.695420+3 1.990393-6 1.687320+3 1.992297-6 1.662432+3 1.994422-6 1.624444+3 1.996685-6 1.572880+3 1.998936-6 1.511204+3 2.000712-6 1.456037+3 2.003931-6 1.343868+3 2.005839-6 1.271514+3 2.007035-6 1.224535+3 2.008871-6 1.150567+3 2.010783-6 1.072110+3 2.012637-6 9.956097+2 2.014560-6 9.167483+2 2.016637-6 8.332119+2 2.018153-6 7.739506+2 2.021147-6 6.627405+2 2.023804-6 5.722655+2 2.027488-6 4.624612+2 2.032674-6 3.436601+2 2.033984-6 3.208521+2 2.034817-6 3.079252+2 2.036066-6 2.908664+2 2.037315-6 2.766452+2 2.038438-6 2.663196+2 2.039297-6 2.600063+2 2.040342-6 2.542159+2 2.041366-6 2.505648+2 2.042292-6 2.490144+2 2.043129-6 2.490598+2 2.043943-6 2.504404+2 2.044341-6 2.515985+2 2.045125-6 2.548166+2 2.045883-6 2.591332+2 2.046618-6 2.644553+2 2.048042-6 2.780193+2 2.049378-6 2.947244+2 2.054384-6 3.938515+2 2.056262-6 4.469446+2 2.059342-6 5.546415+2 2.064349-6 7.896057+2 2.067271-6 9.645127+2 2.069872-6 1.145394+3 2.071462-6 1.268207+3 2.072980-6 1.394279+3 2.074498-6 1.529085+3 2.077045-6 1.774956+3 2.079591-6 2.045199+3 2.085003-6 2.695120+3 2.085600-6 2.772485+3 2.090097-6 3.384153+3 2.091738-6 3.617333+3 2.094872-6 4.070368+3 2.097459-6 4.445790+3 2.099966-6 4.804272+3 2.102552-6 5.161701+3 2.105059-6 5.489296+3 2.107288-6 5.759558+3 2.109750-6 6.029712+3 2.110471-6 6.102410+3 2.113456-6 6.368322+3 2.115786-6 6.533181+3 2.118463-6 6.671927+3 2.120783-6 6.746033+3 2.122304-6 6.770742+3 2.124651-6 6.771508+3 2.126985-6 6.727785+3 2.130741-6 6.568164+3 2.132616-6 6.450060+3 2.134701-6 6.291303+3 2.136042-6 6.175280+3 2.138436-6 5.943873+3 2.140970-6 5.669800+3 2.143086-6 5.422362+3 2.145808-6 5.085737+3 2.148355-6 4.758200+3 2.150901-6 4.424759+3 2.153767-6 4.049532+3 2.155995-6 3.761989+3 2.161561-6 3.079479+3 2.162445-6 2.977290+3 2.168640-6 2.322994+3 2.173005-6 1.931900+3 2.184269-6 1.187630+3 2.186874-6 1.063836+3 2.189478-6 9.552737+2 2.192083-6 8.604235+2 2.194688-6 7.777838+2 2.197293-6 7.059121+2 2.199898-6 6.434533+2 2.202502-6 5.891592+2 2.205107-6 5.418997+2 2.210317-6 4.645773+2 2.215526-6 4.048562+2 2.220736-6 3.578283+2 2.226723-6 3.149648+2 2.232336-6 2.825817+2 2.237598-6 2.572517+2 2.242532-6 2.368959+2 2.247157-6 2.201885+2 2.255829-6 1.936943+2 2.263416-6 1.744958+2 2.270056-6 1.600294+2 2.275865-6 1.488022+2 2.286032-6 1.316813+2 2.293657-6 1.204853+2 2.316532-6 9.286953+1 2.322233-6 8.724878+1 2.327935-6 8.221868+1 2.333637-6 7.786925+1 2.339339-6 7.429192+1 2.345041-6 7.155579+1 2.347892-6 7.051260+1 2.350743-6 6.968328+1 2.353594-6 6.906012+1 2.356444-6 6.863060+1 2.359295-6 6.837743+1 2.364997-6 6.830929+1 2.373550-6 6.887702+1 2.382103-6 6.950086+1 2.387805-6 6.957233+1 2.393506-6 6.918650+1 2.396357-6 6.879701+1 2.399208-6 6.827289+1 2.402059-6 6.761711+1 2.407761-6 6.594109+1 2.413463-6 6.385739+1 2.419165-6 6.148136+1 2.424867-6 5.893247+1 2.435018-6 5.428354+1 2.466168-6 4.182419+1 2.472239-6 3.990450+1 2.478309-6 3.821626+1 2.484379-6 3.680816+1 2.490449-6 3.573138+1 2.496519-6 3.502766+1 2.499554-6 3.482290+1 2.502589-6 3.471617+1 2.505624-6 3.470447+1 2.508660-6 3.478232+1 2.511695-6 3.494168+1 2.517765-6 3.546100+1 2.532940-6 3.724933+1 2.539010-6 3.783256+1 2.545080-6 3.818419+1 2.551151-6 3.824656+1 2.557221-6 3.800327+1 2.563291-6 3.747534+1 2.569361-6 3.671169+1 2.575431-6 3.577672+1 2.581501-6 3.473831+1 2.601692-6 3.123121+1 2.617808-6 2.887761+1 2.629895-6 2.741749+1 2.648026-6 2.557601+1 2.672718-6 2.349151+1 2.692406-6 2.211923+1 2.705530-6 2.136711+1 2.718655-6 2.074516+1 2.758030-6 1.923845+1 2.777717-6 1.842998+1 2.814583-6 1.688897+1 2.844645-6 1.579600+1 2.889739-6 1.440397+1 2.963728-6 1.252083+1 3.079307-6 1.022784+1 3.215718-6 7.946460+0 3.259564-6 7.203933+0 3.292448-6 6.610976+0 3.317112-6 6.125283+0 3.335609-6 5.724615+0 3.349483-6 5.394964+0 3.359888-6 5.126110+0 3.375495-6 4.678076+0 3.383299-6 4.430032+0 3.391102-6 4.164431+0 3.400150-6 3.835378+0 3.407796-6 3.543424+0 3.411969-6 3.381344+0 3.420421-6 3.056831+0 3.426372-6 2.841848+0 3.433626-6 2.613907+0 3.437217-6 2.522715+0 3.440809-6 2.451173+0 3.447350-6 2.386440+0 3.449530-6 2.387930+0 3.453703-6 2.429677+0 3.455790-6 2.471996+0 3.457876-6 2.530157+0 3.459791-6 2.598439+0 3.462042-6 2.698311+0 3.463781-6 2.790828+0 3.465442-6 2.892307+0 3.467830-6 3.061983+0 3.469194-6 3.172058+0 3.471582-6 3.388731+0 3.476955-6 3.994967+0 3.481341-6 4.619956+0 3.493053-6 6.900092+0 3.498285-6 8.208034+0 3.502881-6 9.495344+0 3.507083-6 1.077462+1 3.510328-6 1.182140+1 3.513966-6 1.304517+1 3.518169-6 1.451049+1 3.521348-6 1.564307+1 3.525609-6 1.717393+1 3.529869-6 1.869609+1 3.534395-6 2.027359+1 3.538389-6 2.160593+1 3.547443-6 2.430309+1 3.548441-6 2.456593+1 3.555431-6 2.617218+1 3.558359-6 2.671316+1 3.563951-6 2.751166+1 3.568106-6 2.789968+1 3.572551-6 2.812034+1 3.576181-6 2.815466+1 3.580945-6 2.801019+1 3.584008-6 2.781093+1 3.587071-6 2.753499+1 3.589513-6 2.726436+1 3.595903-6 2.637027+1 3.598033-6 2.602101+1 3.606554-6 2.443588+1 3.615074-6 2.266833+1 3.623595-6 2.085947+1 3.644286-6 1.689697+1 3.649424-6 1.607444+1 3.658407-6 1.481031+1 3.667389-6 1.375703+1 3.676372-6 1.288988+1 3.685354-6 1.217786+1 3.694337-6 1.158989+1 3.703320-6 1.109836+1 3.712302-6 1.068073+1 3.721285-6 1.031956+1 3.730267-6 1.000186+1 3.748233-6 9.461362+0 3.766198-6 9.009524+0 3.793146-6 8.439199+0 3.875939-6 7.051365+0 3.895019-6 6.742556+0 3.914099-6 6.410394+0 3.923639-6 6.229976+0 3.936773-6 5.961920+0 3.955012-6 5.555181+0 3.977021-6 5.068055+0 3.980264-6 5.005529+0 3.990420-6 4.843373+0 3.996599-6 4.778499+0 4.003686-6 4.745595+0 4.008835-6 4.754514+0 4.016176-6 4.821599+0 4.018624-6 4.859178+0 4.025965-6 5.019660+0 4.028762-6 5.099807+0 4.033657-6 5.264902+0 4.040081-6 5.527228+0 4.048340-6 5.931305+0 4.066741-6 6.997703+0 4.074910-6 7.482054+0 4.077357-6 7.621720+0 4.086232-6 8.090701+0 4.088916-6 8.217658+0 4.096966-6 8.546666+0 4.103910-6 8.759918+0 4.107224-6 8.836919+0 4.112195-6 8.921763+0 4.117166-6 8.970118+0 4.123855-6 8.979898+0 4.128749-6 8.949666+0 4.133644-6 8.890943+0 4.143433-6 8.701280+0 4.153221-6 8.439122+0 4.156539-6 8.338839+0 4.172799-6 7.804894+0 4.210012-6 6.629965+0 4.225885-6 6.223131+0 4.237910-6 5.964373+0 4.246688-6 5.807029+0 4.257090-6 5.660820+0 4.267491-6 5.564456+0 4.273461-6 5.533748+0 4.279430-6 5.521681+0 4.285164-6 5.527635+0 4.293764-6 5.567478+0 4.302364-6 5.640501+0 4.315760-6 5.803053+0 4.331427-6 6.023228+0 4.342089-6 6.158952+0 4.352750-6 6.261474+0 4.357775-6 6.294433+0 4.365312-6 6.323156+0 4.372850-6 6.326539+0 4.383230-6 6.292408+0 4.397400-6 6.188860+0 4.429633-6 5.877884+0 4.443123-6 5.780821+0 4.451121-6 5.740493+0 4.461970-6 5.705394+0 4.472925-6 5.688293+0 4.516748-6 5.669410+0 4.547820-6 5.612894+0 4.583032-6 5.527708+0 4.710369-6 5.276461+0 4.816934-6 5.026949+0 4.910387-6 4.857172+0 5.016934-6 4.644547+0 5.041715-6 4.607534+0 5.091353-6 4.566291+0 5.142413-6 4.533970+0 5.176396-6 4.490700+0 5.225320-6 4.400643+0 5.360026-6 4.142899+0 5.386218-6 4.103866+0 5.451700-6 4.036658+0 5.477893-6 4.013217+0 5.535032-6 3.941403+0 5.603955-6 3.831175+0 5.684894-6 3.729411+0 5.753013-6 3.642864+0 5.905232-6 3.417909+0 6.103132-6 3.197894+0 6.378929-6 2.869315+0 6.681120-6 2.528072+0 6.825547-6 2.371085+0 6.965011-6 2.225918+0 7.161434-6 2.029727+0 7.317706-6 1.877929+0 7.420000-6 1.780367+0 7.520556-6 1.686028+0 7.680000-6 1.540404+0 7.804827-6 1.428373+0 7.909062-6 1.335767+0 8.009285-6 1.248807+0 8.192000-6 1.096760+0 8.350000-6 9.713145-1 8.545611-6 8.222123-1 8.653733-6 7.432115-1 8.751764-6 6.745992-1 8.955986-6 5.394098-1 9.052873-6 4.794903-1 9.248978-6 3.670731-1 9.501159-6 2.399619-1 9.623218-6 1.860179-1 9.716560-6 1.495631-1 9.943052-6 7.544515-2 1.004101-5 5.030815-2 1.012580-5 3.296605-2 1.022374-5 1.793081-2 1.032015-5 8.465903-3 1.041505-5 4.605441-3 1.050847-5 6.393824-3 1.060043-5 1.386854-2 1.069096-5 2.701728-2 1.077972-5 4.490258-2 1.086710-5 6.246938-2 1.093162-5 6.911351-2 1.093695-5 6.927584-2 1.105332-5 5.894601-2 1.114250-5 4.218506-2 1.121859-5 2.884696-2 1.129946-5 1.767926-2 1.137906-5 1.017487-2 1.145742-5 6.418219-3 1.153455-5 6.508694-3 1.161048-5 1.058832-2 1.168522-5 1.873641-2 1.183237-5 4.720332-2 1.197492-5 9.194573-2 1.212132-5 1.575956-1 1.225707-5 2.379454-1 1.237640-5 3.259989-1 1.250195-5 4.383290-1 1.262357-5 5.683369-1 1.274140-5 7.163710-1 1.285554-5 8.827914-1 1.299421-5 1.119138+0 1.307324-5 1.272936+0 1.330000-5 1.791790+0 1.347536-5 2.283111+0 1.366875-5 2.933875+0 1.382879-5 3.571566+0 1.398911-5 4.317887+0 1.413942-5 5.129417+0 1.441243-5 6.930416+0 1.480000-5 1.042891+1 1.543689-5 1.976173+1 1.566121-5 2.469550+1 1.584893-5 2.975118+1 1.598180-5 3.395731+1 1.608485-5 3.766693+1 1.623941-5 4.408325+1 1.643433-5 5.384810+1 1.655539-5 6.107841+1 1.667644-5 6.943858+1 1.679750-5 7.914808+1 1.690843-5 8.946657+1 1.699926-5 9.912099+1 1.712031-5 1.139931+2 1.723812-5 1.311006+2 1.736176-5 1.525218+2 1.744419-5 1.692459+2 1.756782-5 1.989572+2 1.764859-5 2.220548+2 1.772432-5 2.469647+2 1.779531-5 2.737358+2 1.786186-5 3.024129+2 1.793566-5 3.390830+2 1.799349-5 3.721131+2 1.803759-5 4.003256+2 1.808901-5 4.370679+2 1.813720-5 4.759183+2 1.818239-5 5.168924+2 1.822475-5 5.599937+2 1.826447-5 6.052165+2 1.830170-5 6.525498+2 1.833660-5 7.019810+2 1.840772-5 8.214671+2 1.845932-5 9.285496+2 1.850942-5 1.054834+3 1.855327-5 1.189274+3 1.859163-5 1.331056+3 1.862520-5 1.478927+3 1.865457-5 1.631216+3 1.868027-5 1.785934+3 1.870276-5 1.940940+3 1.874212-5 2.266095+3 1.877163-5 2.565189+3 1.879377-5 2.827262+3 1.881037-5 3.048264+3 1.884773-5 3.634657+3 1.886018-5 3.861173+3 1.890660-5 4.867327+3 1.902364-5 8.861075+3 1.906417-5 1.083736+4 1.909229-5 1.240292+4 1.910771-5 1.332874+4 1.914242-5 1.557686+4 1.915985-5 1.678582+4 1.920090-5 1.980723+4 1.921703-5 2.104619+4 1.924782-5 2.345795+4 1.927589-5 2.566940+4 1.928950-5 2.672995+4 1.930899-5 2.822026+4 1.932966-5 2.974561+4 1.934549-5 3.086058+4 1.936812-5 3.235203+4 1.939175-5 3.375294+4 1.942073-5 3.520561+4 1.944425-5 3.613661+4 1.946898-5 3.684814+4 1.948998-5 3.722274+4 1.951850-5 3.737924+4 1.953269-5 3.730379+4 1.957882-5 3.636664+4 1.959636-5 3.574549+4 1.960538-5 3.537308+4 1.963656-5 3.383135+4 1.965897-5 3.250500+4 1.967782-5 3.127031+4 1.969799-5 2.984922+4 1.972063-5 2.815648+4 1.973955-5 2.668549+4 1.976387-5 2.474774+4 1.978733-5 2.286006+4 1.981078-5 2.098379+4 1.983717-5 1.891917+4 1.985770-5 1.736681+4 1.990461-5 1.406136+4 1.992427-5 1.279560+4 1.996179-5 1.059646+4 1.999615-5 8.840780+3 2.002496-5 7.556663+3 2.007180-5 5.814452+3 2.015574-5 3.607666+3 2.018366-5 3.084255+3 2.020710-5 2.709320+3 2.023106-5 2.379068+3 2.025047-5 2.145756+3 2.026988-5 1.939401+3 2.029838-5 1.678713+3 2.032688-5 1.460363+3 2.036967-5 1.195687+3 2.039305-5 1.076647+3 2.041956-5 9.592054+2 2.046945-5 7.780699+2 2.051934-5 6.360038+2 2.064794-5 3.825795+2 2.066902-5 3.516274+2 2.071891-5 2.868249+2 2.076880-5 2.321355+2 2.081869-5 1.858779+2 2.097648-5 8.392432+1 2.101826-5 6.697722+1 2.106815-5 5.245683+1 2.109310-5 4.778550+1 2.111804-5 4.508065+1 2.113489-5 4.449567+1 2.114597-5 4.471265+1 2.116793-5 4.670296+1 2.118205-5 4.919436+1 2.119617-5 5.274628+1 2.120244-5 5.469333+1 2.121274-5 5.841549+1 2.122384-5 6.321397+1 2.123215-5 6.738226+1 2.124636-5 7.573893+1 2.125845-5 8.417770+1 2.128461-5 1.072135+2 2.131078-5 1.378784+2 2.136310-5 2.285900+2 2.137618-5 2.587867+2 2.140561-5 3.401844+2 2.142851-5 4.182124+2 2.144813-5 4.968631+2 2.146775-5 5.876736+2 2.149064-5 7.107046+2 2.150536-5 8.004385+2 2.152008-5 8.991738+2 2.153533-5 1.011657+3 2.156180-5 1.232972+3 2.158598-5 1.466608+3 2.160257-5 1.645272+3 2.161840-5 1.830497+3 2.163423-5 2.030529+3 2.166079-5 2.400369+3 2.168403-5 2.759815+3 2.168735-5 2.813908+3 2.174047-5 3.770790+3 2.175001-5 3.960257+3 2.179740-5 4.970532+3 2.181709-5 5.419208+3 2.182648-5 5.638088+3 2.185940-5 6.422616+3 2.188522-5 7.048318+3 2.190693-5 7.573804+3 2.193016-5 8.127596+3 2.195522-5 8.705713+3 2.198104-5 9.270118+3 2.200430-5 9.742082+3 2.203345-5 1.027193+4 2.205880-5 1.066689+4 2.208158-5 1.096266+4 2.210655-5 1.121648+4 2.212677-5 1.136509+4 2.215092-5 1.147341+4 2.217492-5 1.150532+4 2.218768-5 1.149166+4 2.223212-5 1.128318+4 2.225613-5 1.107232+4 2.227712-5 1.083665+4 2.230217-5 1.049901+4 2.231720-5 1.027009+4 2.233400-5 9.993674+3 2.235604-5 9.602348+3 2.238439-5 9.061072+3 2.240770-5 8.592448+3 2.243765-5 7.971726+3 2.246089-5 7.484192+3 2.248413-5 6.998284+3 2.253884-5 5.891391+3 2.255764-5 5.530589+3 2.260057-5 4.758248+3 2.265459-5 3.903216+3 2.275846-5 2.649425+3 2.279038-5 2.360792+3 2.282524-5 2.090688+3 2.285828-5 1.873494+3 2.290186-5 1.636645+3 2.294118-5 1.463571+3 2.299576-5 1.273772+3 2.303618-5 1.162613+3 2.308977-5 1.043983+3 2.314520-5 9.466687+2 2.320376-5 8.637796+2 2.324120-5 8.187180+2 2.330310-5 7.543701+2 2.336725-5 6.978942+2 2.344020-5 6.431402+2 2.348829-5 6.113930+2 2.357780-5 5.595867+2 2.366758-5 5.151421+2 2.379386-5 4.620472+2 2.397987-5 3.978585+2 2.409992-5 3.633293+2 2.421547-5 3.350294+2 2.427922-5 3.215934+2 2.436268-5 3.064327+2 2.443565-5 2.954737+2 2.451058-5 2.864691+2 2.462685-5 2.770971+2 2.468764-5 2.744682+2 2.474749-5 2.733813+2 2.478864-5 2.734427+2 2.484076-5 2.743439+2 2.493186-5 2.774739+2 2.504640-5 2.819629+2 2.510657-5 2.834696+2 2.514435-5 2.838687+2 2.522185-5 2.831272+2 2.526733-5 2.817099+2 2.531235-5 2.796737+2 2.541538-5 2.733348+2 2.555382-5 2.636821+2 2.567576-5 2.562865+2 2.577121-5 2.516268+2 2.593190-5 2.453835+2 2.626510-5 2.349806+2 2.675913-5 2.212869+2 2.699815-5 2.147464+2 2.756108-5 2.015090+2 2.819514-5 1.892312+2 2.885774-5 1.784097+2 2.951930-5 1.693110+2 3.036025-5 1.592876+2 3.126079-5 1.502984+2 3.207048-5 1.431580+2 3.311311-5 1.351798+2 3.417826-5 1.280738+2 3.831794-5 1.066076+2 3.887968-5 1.048967+2 3.916055-5 1.041570+2 3.953504-5 1.028024+2 4.000100-5 1.007822+2 4.152084-5 9.548381+1 4.623810-5 8.207431+1 4.800000-5 7.779539+1 5.042891-5 7.216845+1 5.350000-5 6.550172+1 5.744563-5 5.743596+1 6.075000-5 5.064756+1 6.355302-5 4.469610+1 6.553600-5 4.037768+1 6.722301-5 3.663418+1 6.839888-5 3.396691+1 7.000000-5 3.029243+1 7.149400-5 2.686693+1 7.256447-5 2.439980+1 7.372800-5 2.173383+1 7.480757-5 1.931466+1 7.587321-5 1.699071+1 7.673615-5 1.517417+1 7.738871-5 1.385569+1 7.814894-5 1.240586+1 7.891906-5 1.119448+1 7.959435-5 1.079064+1 7.961724-5 1.079353+1 8.027486-5 1.135533+1 8.073702-5 1.219319+1 8.142838-5 1.385404+1 8.212242-5 1.588971+1 8.274747-5 1.805279+1 8.337650-5 2.059055+1 8.413951-5 2.422048+1 8.486964-5 2.834864+1 8.543731-5 3.207684+1 8.651997-5 4.068716+1 8.753603-5 5.098456+1 8.853535-5 6.380704+1 8.981103-5 8.525065+1 9.041698-5 9.797894+1 9.138814-5 1.228667+2 9.225714-5 1.511638+2 9.277715-5 1.715326+2 9.340825-5 2.005031+2 9.400051-5 2.328435+2 9.456516-5 2.694235+2 9.509452-5 3.100036+2 9.559080-5 3.548152+2 9.612591-5 4.121548+2 9.654838-5 4.655280+2 9.698375-5 5.297481+2 9.729099-5 5.818423+2 9.764392-5 6.499765+2 9.798085-5 7.248627+2 9.830400-5 8.075267+2 9.859287-5 8.921828+2 9.887050-5 9.849793+2 9.913078-5 1.084097+3 9.937479-5 1.189702+3 9.962394-5 1.312668+3 9.981801-5 1.421033+3 1.000191-4 1.547103+3 1.002076-4 1.680366+3 1.003843-4 1.821046+3 1.005499-4 1.969402+3 1.007052-4 2.125714+3 1.008508-4 2.290273+3 1.011239-4 2.658027+3 1.013627-4 3.063553+3 1.015736-4 3.510242+3 1.017547-4 3.981432+3 1.019147-4 4.483228+3 1.020547-4 5.002578+3 1.021772-4 5.529726+3 1.022845-4 6.055005+3 1.023783-4 6.569655+3 1.025424-4 7.609998+3 1.027579-4 9.286971+3 1.032375-4 1.457954+4 1.034392-4 1.754120+4 1.035421-4 1.922681+4 1.037182-4 2.237332+4 1.038502-4 2.493455+4 1.038942-4 2.582261+4 1.041487-4 3.122280+4 1.041805-4 3.192158+4 1.044032-4 3.686595+4 1.044907-4 3.879766+4 1.046577-4 4.238187+4 1.047375-4 4.401821+4 1.048100-4 4.544237+4 1.049289-4 4.762545+4 1.050200-4 4.914335+4 1.050943-4 5.026902+4 1.051919-4 5.157324+4 1.053174-4 5.293160+4 1.054093-4 5.368049+4 1.055262-4 5.431389+4 1.056575-4 5.458413+4 1.057547-4 5.448043+4 1.058742-4 5.400408+4 1.059978-4 5.312394+4 1.061021-4 5.209652+4 1.062291-4 5.053159+4 1.063616-4 4.858451+4 1.064522-4 4.710742+4 1.066086-4 4.435714+4 1.067859-4 4.108718+4 1.072411-4 3.327821+4 1.073759-4 3.143649+4 1.075091-4 2.992395+4 1.076228-4 2.889484+4 1.077231-4 2.819640+4 1.078229-4 2.769595+4 1.079424-4 2.734497+4 1.080407-4 2.724804+4 1.081401-4 2.731108+4 1.082602-4 2.757797+4 1.083931-4 2.807331+4 1.085986-4 2.912420+4 1.089121-4 3.093556+4 1.090255-4 3.152508+4 1.093150-4 3.258411+4 1.094091-4 3.274358+4 1.096122-4 3.272118+4 1.097005-4 3.254783+4 1.097807-4 3.230421+4 1.098615-4 3.197688+4 1.099659-4 3.143691+4 1.100599-4 3.084405+4 1.101832-4 2.992550+4 1.103115-4 2.882098+4 1.105027-4 2.694903+4 1.106515-4 2.535647+4 1.108097-4 2.358610+4 1.110988-4 2.030203+4 1.112966-4 1.812603+4 1.115317-4 1.570888+4 1.119132-4 1.232763+4 1.122188-4 1.015282+4 1.123593-4 9.308032+3 1.125577-4 8.268173+3 1.127657-4 7.350784+3 1.129492-4 6.668698+3 1.131217-4 6.121324+3 1.133783-4 5.445456+3 1.136216-4 4.926890+3 1.139364-4 4.388955+3 1.142424-4 3.971647+3 1.144987-4 3.680815+3 1.147228-4 3.460360+3 1.150824-4 3.158172+3 1.154251-4 2.916251+3 1.157820-4 2.701568+3 1.161277-4 2.522803+3 1.164734-4 2.367514+3 1.167290-4 2.265429+3 1.170041-4 2.165972+3 1.174285-4 2.030721+3 1.180011-4 1.876990+3 1.185095-4 1.762718+3 1.192000-4 1.633643+3 1.198033-4 1.540317+3 1.204120-4 1.460670+3 1.210773-4 1.387001+3 1.216720-4 1.330739+3 1.222762-4 1.281037+3 1.233893-4 1.204524+3 1.245505-4 1.139825+3 1.257497-4 1.084367+3 1.268190-4 1.041897+3 1.280598-4 9.986880+2 1.296185-4 9.510640+2 1.313382-4 9.046950+2 1.332562-4 8.591263+2 1.358946-4 8.049750+2 1.380841-4 7.655180+2 1.408459-4 7.215792+2 1.461312-4 6.520679+2 1.507245-4 6.030302+2 1.560000-4 5.559755+2 1.614250-4 5.156221+2 1.675442-4 4.779200+2 1.750000-4 4.405612+2 1.921476-4 3.745420+2 1.984183-4 3.506894+2 2.014141-4 3.363322+2 2.024020-4 3.330568+2 2.029121-4 3.321557+2 2.037793-4 3.320653+2 2.049107-4 3.343197+2 2.065983-4 3.394177+2 2.072775-4 3.409818+2 2.083391-4 3.423702+2 2.103695-4 3.424440+2 2.143924-4 3.397676+2 2.212990-4 3.332557+2 2.236177-4 3.321494+2 2.259312-4 3.324120+2 2.301517-4 3.343996+2 2.388054-4 3.356840+2 2.585700-4 3.352997+2 2.734106-4 3.324002+2 2.778864-4 3.299062+2 2.792435-4 3.298102+2 2.809896-4 3.309214+2 2.838004-4 3.353469+2 2.883320-4 3.428331+2 2.920379-4 3.464166+2 3.085355-4 3.576788+2 3.247763-4 3.668833+2 3.470362-4 3.780783+2 3.840387-4 3.935956+2 4.031007-4 3.997857+2 4.265795-4 4.048697+2 4.551191-4 4.080509+2 4.915564-4 4.081335+2 5.244300-4 4.035402+2 5.543065-4 3.950659+2 5.891571-4 3.796503+2 6.222135-4 3.587155+2 6.498811-4 3.359834+2 6.758971-4 3.096285+2 6.948624-4 2.869360+2 7.115993-4 2.637944+2 7.258504-4 2.417412+2 7.383545-4 2.204315+2 7.487624-4 2.010840+2 7.585406-4 1.819477+2 7.679986-4 1.624511+2 7.747474-4 1.478620+2 7.805809-4 1.348051+2 7.864320-4 1.213474+2 7.898443-4 1.133642+2 7.928333-4 1.063104+2 7.969089-4 9.663591+1 8.009487-4 8.704483+1 8.043119-4 7.912914+1 8.076701-4 7.137008+1 8.108184-4 6.431913+1 8.140578-4 5.740933+1 8.206971-4 4.502231+1 8.226664-4 4.199222+1 8.249417-4 3.894756+1 8.268855-4 3.676145+1 8.278592-4 3.581424+1 8.288025-4 3.499123+1 8.306015-4 3.367893+1 8.314590-4 3.317215+1 8.322898-4 3.275512+1 8.330946-4 3.242216+1 8.342773-4 3.206644+1 8.353498-4 3.189467+1 8.365661-4 3.190283+1 8.371883-4 3.200581+1 8.377529-4 3.216740+1 8.386892-4 3.260361+1 8.392893-4 3.301398+1 8.398754-4 3.353248+1 8.404431-4 3.416373+1 8.409931-4 3.491555+1 8.415259-4 3.579587+1 8.420421-4 3.681255+1 8.425421-4 3.797322+1 8.430266-4 3.928514+1 8.434958-4 4.075504+1 8.439504-4 4.238900+1 8.443908-4 4.419240+1 8.452441-4 4.839841+1 8.460441-4 5.334879+1 8.463111-4 5.525240+1 8.467940-4 5.905367+1 8.474971-4 6.550677+1 8.481563-4 7.268609+1 8.487742-4 8.055551+1 8.493535-4 8.906680+1 8.498966-4 9.816195+1 8.509360-4 1.190176+2 8.518525-4 1.417793+2 8.553177-4 2.779427+2 8.564996-4 3.480237+2 8.578209-4 4.444292+2 8.588895-4 5.380907+2 8.593648-4 5.846442+2 8.602614-4 6.811653+2 8.617631-4 8.696518+2 8.626277-4 9.940572+2 8.629267-4 1.039836+3 8.643358-4 1.274531+3 8.648781-4 1.373048+3 8.668638-4 1.769794+3 8.677852-4 1.970861+3 8.691838-4 2.291730+3 8.701444-4 2.519664+3 8.710010-4 2.725498+3 8.719874-4 2.962548+3 8.728665-4 3.171070+3 8.736400-4 3.350286+3 8.745268-4 3.548573+3 8.752900-4 3.711263+3 8.756007-4 3.775011+3 8.766879-4 3.985238+3 8.777179-4 4.163649+3 8.784492-4 4.276857+3 8.795369-4 4.423323+3 8.801921-4 4.498630+3 8.813955-4 4.611771+3 8.825938-4 4.693417+3 8.837855-4 4.746731+3 8.853654-4 4.781237+3 8.871697-4 4.782856+3 8.899501-4 4.741364+3 8.961321-4 4.603191+3 8.984338-4 4.528998+3 8.998297-4 4.467373+3 9.006609-4 4.422811+3 9.029412-4 4.265420+3 9.039444-4 4.178832+3 9.052974-4 4.045460+3 9.068719-4 3.868329+3 9.081828-4 3.705796+3 9.097651-4 3.496419+3 9.112709-4 3.289466+3 9.133242-4 3.006049+3 9.173306-4 2.495292+3 9.198274-4 2.229593+3 9.212352-4 2.101364+3 9.228449-4 1.973998+3 9.243236-4 1.874357+3 9.262123-4 1.769194+3 9.271929-4 1.723365+3 9.290527-4 1.650677+3 9.304384-4 1.606909+3 9.320938-4 1.564139+3 9.342621-4 1.520520+3 9.368176-4 1.482388+3 9.398990-4 1.449280+3 9.437790-4 1.420044+3 9.479750-4 1.397815+3 9.519041-4 1.382566+3 9.580933-4 1.365660+3 9.647291-4 1.353997+3 9.739415-4 1.344817+3 9.908014-4 1.339057+3 1.006456-3 1.339878+3 1.053662-3 1.350543+3 1.078827-3 1.346285+3 1.095445-3 1.336180+3 1.113774-3 1.317013+3 1.123999-3 1.299945+3 1.140077-3 1.265354+3 1.145089-3 1.260420+3 1.148081-3 1.261619+3 1.150725-3 1.266044+3 1.153596-3 1.274823+3 1.158352-3 1.298398+3 1.164080-3 1.338092+3 1.169700-3 1.380526+3 1.175155-3 1.416170+3 1.178973-3 1.435006+3 1.181786-3 1.445383+3 1.185000-3 1.453949+3 1.193104-3 1.464534+3 1.212141-3 1.468942+3 1.232868-3 1.468851+3 1.239272-3 1.475263+3 1.247428-3 1.493958+3 1.265173-3 1.555445+3 1.273102-3 1.574767+3 1.280679-3 1.585708+3 1.314145-3 1.608241+3 1.333201-3 1.615633+3 1.354541-3 1.618684+3 1.383316-3 1.613814+3 1.394069-3 1.614619+3 1.402154-3 1.620056+3 1.415945-3 1.639112+3 1.436947-3 1.671125+3 1.457997-3 1.691617+3 1.477415-3 1.704552+3 1.525325-3 1.724684+3 1.581018-3 1.738317+3 1.662348-3 1.747163+3 1.783666-3 1.745169+3 1.921985-3 1.726692+3 2.079901-3 1.695410+3 2.297471-3 1.636795+3 2.461479-3 1.589648+3 2.638398-3 1.536035+3 2.840524-3 1.473035+3 3.139605-3 1.391770+3 3.295762-3 1.349643+3 3.615139-3 1.265350+3 3.796794-3 1.218819+3 3.971058-3 1.174132+3 4.158208-3 1.126694+3 4.338541-3 1.081344+3 4.507768-3 1.038324+3 4.661568-3 9.989380+2 4.801713-3 9.620798+2 4.929013-3 9.273528+2 5.037600-3 8.964473+2 5.136419-3 8.666340+2 5.219138-3 8.398568+2 5.286111-3 8.165297+2 5.351031-3 7.919576+2 5.405745-3 7.690918+2 5.445680-3 7.505577+2 5.489147-3 7.277279+2 5.524678-3 7.059705+2 5.552857-3 6.859248+2 5.572232-3 6.704968+2 5.611633-3 6.360343+2 5.641357-3 6.108318+2 5.663744-3 5.958005+2 5.677089-3 5.896034+2 5.688554-3 5.863213+2 5.699280-3 5.851103+2 5.709424-3 5.856597+2 5.724549-3 5.894415+2 5.739584-3 5.963498+2 5.765886-3 6.139736+2 5.800127-3 6.413194+2 5.818287-3 6.552388+2 5.835711-3 6.672188+2 5.855303-3 6.786591+2 5.873879-3 6.874210+2 5.901501-3 6.969369+2 5.930904-3 7.031017+2 5.961482-3 7.059241+2 5.992688-3 7.055754+2 6.020558-3 7.028964+2 6.093245-3 6.915887+2 6.125510-3 6.900742+2 6.143218-3 6.915966+2 6.170601-3 6.977345+2 6.200602-3 7.090963+2 6.278636-3 7.456127+2 6.297134-3 7.527205+2 6.322184-3 7.604957+2 6.347937-3 7.662637+2 6.377929-3 7.705291+2 6.458816-3 7.766339+2 6.505332-3 7.840763+2 6.539903-3 7.935719+2 6.647974-3 8.308978+2 6.679739-3 8.395977+2 6.715534-3 8.474392+2 6.759581-3 8.548244+2 6.823553-3 8.626982+2 6.921055-3 8.708363+2 7.048104-3 8.770016+2 7.257301-3 8.803103+2 7.519120-3 8.767636+2 7.785983-3 8.676315+2 8.151734-3 8.500030+2 8.613155-3 8.230046+2 9.192581-3 7.854797+2 9.849587-3 7.417253+2 1.071519-2 6.865371+2 1.182149-2 6.220708+2 1.327104-2 5.490940+2 1.488316-2 4.818220+2 1.666993-2 4.208610+2 1.889568-2 3.595093+2 2.047814-2 3.231651+2 2.213899-2 2.900492+2 2.391939-2 2.592086+2 2.591547-2 2.293421+2 2.798238-2 2.027779+2 3.018980-2 1.786025+2 3.231283-2 1.586931+2 3.419537-2 1.431634+2 3.560128-2 1.324191+2 3.673687-2 1.239539+2 3.756262-2 1.176885+2 3.825495-2 1.121243+2 3.871651-2 1.080360+2 3.894622-2 1.057785+2 3.914446-2 1.036319+2 3.930997-2 1.016453+2 3.953550-2 9.859827+1 4.005550-2 9.104793+1 4.021625-2 8.938004+1 4.032454-2 8.867435+1 4.043763-2 8.835545+1 4.052492-2 8.840715+1 4.065600-2 8.893391+1 4.083387-2 9.031819+1 4.128469-2 9.485412+1 4.150548-2 9.660277+1 4.177649-2 9.806219+1 4.193905-2 9.864017+1 4.234617-2 9.944528+1 4.282328-2 9.969724+1 4.342540-2 9.946067+1 4.447452-2 9.824913+1 4.581802-2 9.594445+1 4.740698-2 9.271814+1 4.952269-2 8.815777+1 5.196038-2 8.294769+1 5.479040-2 7.720241+1 5.886852-2 6.958349+1 6.331461-2 6.224200+1 6.820845-2 5.525637+1 7.662579-2 4.551751+1 8.769377-2 3.603487+1 1.068872-1 2.540473+1 1.262056-1 1.880823+1 1.747391-1 1.032999+1 2.108268-1 7.275142+0 2.593213-1 4.906769+0 3.467369-1 2.800098+0 5.191735-1 1.273515+0 8.035261-1 5.387738-1 1.410753+0 1.763330-1 3.710658+0 2.559573-2 1.120601+1 2.808327-3 3.384160+1 3.079490-4 1.022000+2 3.376620-5 3.086391+2 3.702393-6 9.320751+2 4.059594-7 3.162278+3 3.526829-8 1.000000+4 3.526829-9 3.162278+4 3.52683-10 1.000000+5 3.52683-11 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.517200-6 1.258900-6 3.989600-6 1.584900-6 6.323000-6 1.995300-6 1.002100-5 2.511900-6 1.588300-5 3.162300-6 2.517200-5 3.981100-6 3.989500-5 5.011900-6 6.322900-5 6.309600-6 1.002100-4 7.943300-6 1.588200-4 1.000000-5 2.517100-4 1.258900-5 3.989300-4 1.584900-5 6.319100-4 1.995300-5 1.000800-3 2.511900-5 1.585200-3 3.162300-5 2.511300-3 3.981100-5 3.978800-3 5.011900-5 6.304400-3 6.309600-5 9.989600-3 7.943300-5 1.581100-2 1.000000-4 2.501100-2 1.258900-4 3.950700-2 1.584900-4 6.228600-2 1.995300-4 9.789200-2 2.511900-4 1.531700-1 3.162300-4 2.379300-1 3.981100-4 3.645500-1 5.011900-4 5.485000-1 6.309600-4 8.047000-1 7.943300-4 1.143400+0 1.000000-3 1.568000+0 1.258900-3 2.080500+0 1.584900-3 2.698600+0 1.995300-3 3.459900+0 2.511900-3 4.396900+0 3.162300-3 5.531000+0 3.981100-3 6.873300+0 5.011900-3 8.406300+0 6.309600-3 1.006000+1 7.943300-3 1.180700+1 1.000000-2 1.367800+1 1.258900-2 1.571500+1 1.584900-2 1.779400+1 1.995300-2 1.976900+1 2.511900-2 2.153300+1 3.162300-2 2.303900+1 3.981100-2 2.425000+1 5.011900-2 2.511900+1 6.309600-2 2.560600+1 7.943300-2 2.566600+1 1.000000-1 2.532100+1 1.258900-1 2.459200+1 1.584900-1 2.360800+1 1.995300-1 2.238700+1 2.511900-1 2.100900+1 3.162300-1 1.953300+1 3.981100-1 1.801700+1 5.011900-1 1.650000+1 6.309600-1 1.500800+1 7.943300-1 1.356400+1 1.000000+0 1.218000+1 1.258900+0 1.086600+1 1.584900+0 9.632800+0 1.995300+0 8.483200+0 2.511900+0 7.423000+0 3.162300+0 6.455100+0 3.981100+0 5.580200+0 5.011900+0 4.796800+0 6.309600+0 4.101800+0 7.943300+0 3.490700+0 1.000000+1 2.957400+0 1.258900+1 2.495500+0 1.584900+1 2.098100+0 1.995300+1 1.758100+0 2.511900+1 1.468700+0 3.162300+1 1.223700+0 3.981100+1 1.017100+0 5.011900+1 8.434600-1 6.309600+1 6.980800-1 7.943300+1 5.767100-1 1.000000+2 4.756500-1 1.258900+2 3.917100-1 1.584900+2 3.221300-1 1.995300+2 2.645800-1 2.511900+2 2.170500-1 3.162300+2 1.778700-1 3.981100+2 1.456200-1 5.011900+2 1.191000-1 6.309600+2 9.732400-2 7.943300+2 7.946500-2 1.000000+3 6.483400-2 1.258900+3 5.285900-2 1.584900+3 4.306600-2 1.995300+3 3.506500-2 2.511900+3 2.853300-2 3.162300+3 2.320400-2 3.981100+3 1.886000-2 5.011900+3 1.532100-2 6.309600+3 1.244000-2 7.943300+3 1.009600-2 1.000000+4 8.190200-3 1.258900+4 6.641100-3 1.584900+4 5.382700-3 1.995300+4 4.361000-3 2.511900+4 3.531800-3 3.162300+4 2.859300-3 3.981100+4 2.314000-3 5.011900+4 1.872000-3 6.309600+4 1.513900-3 7.943300+4 1.224000-3 1.000000+5 9.892500-4 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159552-4 3.981072-4 3.976784-4 5.011872-4 5.005111-4 6.309573-4 6.298964-4 7.943282-4 7.926726-4 1.000000-3 9.974199-4 1.258925-3 1.254910-3 1.584893-3 1.578622-3 1.995262-3 1.985434-3 2.511886-3 2.496444-3 3.162278-3 3.138074-3 3.981072-3 3.943099-3 5.011872-3 4.952476-3 6.309573-3 6.217089-3 7.943282-3 7.799580-3 1.000000-2 9.776234-3 1.258925-2 1.224150-2 1.584893-2 1.530949-2 1.995262-2 1.912076-2 2.511886-2 2.384354-2 3.162278-2 2.967700-2 3.981072-2 3.685472-2 5.011872-2 4.565337-2 6.309573-2 5.639548-2 7.943282-2 6.947500-2 1.000000-1 8.530251-2 1.258925-1 1.044754-1 1.584893-1 1.274094-1 1.995262-1 1.549019-1 2.511886-1 1.877259-1 3.162278-1 2.267596-1 3.981072-1 2.730331-1 5.011872-1 3.277188-1 6.309573-1 3.922139-1 7.943282-1 4.681749-1 1.000000+0 5.575880-1 1.258925+0 6.630343-1 1.584893+0 7.873444-1 1.995262+0 9.344361-1 2.511886+0 1.108961+0 3.162278+0 1.316696+0 3.981072+0 1.564684+0 5.011872+0 1.861463+0 6.309573+0 2.217687+0 7.943282+0 2.646200+0 1.000000+1 3.162848+0 1.258925+1 3.786877+0 1.584893+1 4.542022+0 1.995262+1 5.457242+0 2.511886+1 6.568019+0 3.162278+1 7.918044+0 3.981072+1 9.560525+0 5.011872+1 1.156125+1 6.309573+1 1.400091+1 7.943282+1 1.697852+1 1.000000+2 2.061592+1 1.258925+2 2.506302+1 1.584893+2 3.050474+1 1.995262+2 3.716814+1 2.511886+2 4.533331+1 3.162278+2 5.534591+1 3.981072+2 6.763035+1 5.011872+2 8.271354+1 6.309573+2 1.012432+2 7.943282+2 1.240193+2 1.000000+3 1.520281+2 1.258925+3 1.864910+2 1.584893+3 2.289220+2 1.995262+3 2.811763+2 2.511886+3 3.455638+2 3.162278+3 4.249370+2 3.981072+3 5.228238+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88186-10 1.995262-5 1.090601-9 2.511886-5 1.728459-9 3.162278-5 2.739466-9 3.981072-5 4.341829-9 5.011872-5 6.881344-9 6.309573-5 1.090594-8 7.943282-5 1.727860-8 1.000000-4 2.737617-8 1.258925-4 4.336584-8 1.584893-4 6.867250-8 1.995262-4 1.087150-7 2.511886-4 1.720177-7 3.162278-4 2.725409-7 3.981072-4 4.288093-7 5.011872-4 6.761540-7 6.309573-4 1.060983-6 7.943282-4 1.655635-6 1.000000-3 2.580109-6 1.258925-3 4.015563-6 1.584893-3 6.271497-6 1.995262-3 9.828797-6 2.511886-3 1.544193-5 3.162278-3 2.420376-5 3.981072-3 3.797238-5 5.011872-3 5.939676-5 6.309573-3 9.248476-5 7.943282-3 1.437023-4 1.000000-2 2.237664-4 1.258925-2 3.477546-4 1.584893-2 5.394462-4 1.995262-2 8.318603-4 2.511886-2 1.275325-3 3.162278-2 1.945775-3 3.981072-2 2.955997-3 5.011872-2 4.465356-3 6.309573-2 6.700254-3 7.943282-2 9.957822-3 1.000000-1 1.469749-2 1.258925-1 2.141719-2 1.584893-1 3.107995-2 1.995262-1 4.462429-2 2.511886-1 6.346270-2 3.162278-1 8.946817-2 3.981072-1 1.250741-1 5.011872-1 1.734685-1 6.309573-1 2.387434-1 7.943282-1 3.261533-1 1.000000+0 4.424120-1 1.258925+0 5.958911-1 1.584893+0 7.975488-1 1.995262+0 1.060826+0 2.511886+0 1.402926+0 3.162278+0 1.845582+0 3.981072+0 2.416388+0 5.011872+0 3.150409+0 6.309573+0 4.091886+0 7.943282+0 5.297083+0 1.000000+1 6.837152+0 1.258925+1 8.802377+0 1.584893+1 1.130691+1 1.995262+1 1.449538+1 2.511886+1 1.855085+1 3.162278+1 2.370473+1 3.981072+1 3.025019+1 5.011872+1 3.855748+1 6.309573+1 4.909482+1 7.943282+1 6.245430+1 1.000000+2 7.938408+1 1.258925+2 1.008295+2 1.584893+2 1.279846+2 1.995262+2 1.623581+2 2.511886+2 2.058553+2 3.162278+2 2.608819+2 3.981072+2 3.304768+2 5.011872+2 4.184737+2 6.309573+2 5.297141+2 7.943282+2 6.703090+2 1.000000+3 8.479719+2 1.258925+3 1.072434+3 1.584893+3 1.355971+3 1.995262+3 1.714086+3 2.511886+3 2.166323+3 3.162278+3 2.737341+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.810000-6 2.729420+6 4.841724-6 2.653342+6 4.950000-6 2.391320+6 5.248075-6 1.807066+6 5.623413-6 1.286945+6 5.956621-6 9.630081+5 6.309573-6 7.158129+5 6.510000-6 6.066916+5 6.510000-6 6.718238+5 6.683439-6 5.951009+5 6.720000-6 5.801390+5 6.850000-6 5.313655+5 6.850000-6 5.770911+5 6.918310-6 5.543350+5 7.000000-6 5.292464+5 7.079458-6 5.068448+5 7.161434-6 4.849777+5 7.200000-6 4.753811+5 7.413102-6 4.289954+5 7.420000-6 4.276213+5 7.673615-6 3.843048+5 7.762471-6 3.718772+5 7.852356-6 3.606755+5 8.000000-6 3.441981+5 8.200000-6 3.264379+5 8.317638-6 3.181734+5 8.350000-6 3.160836+5 8.810489-6 2.964313+5 9.350000-6 2.917563+5 9.549926-6 2.937291+5 9.700000-6 2.962642+5 1.000000-5 3.038610+5 1.027000-5 3.131241+5 1.050000-5 3.225890+5 1.071519-5 3.326105+5 1.083927-5 3.388855+5 1.092000-5 3.430095+5 1.110000-5 3.527229+5 1.127000-5 3.624454+5 1.148154-5 3.752372+5 1.150000-5 3.763952+5 1.165000-5 3.858167+5 1.185000-5 3.989063+5 1.202264-5 4.106568+5 1.222000-5 4.242897+5 1.244515-5 4.404231+5 1.260000-5 4.518612+5 1.273503-5 4.620680+5 1.280100-5 4.670400+5 1.303167-5 4.848259+5 1.330000-5 5.061815+5 1.333521-5 5.090436+5 1.357000-5 5.279558+5 1.390000-5 5.553575+5 1.396368-5 5.607636+5 1.428894-5 5.884639+5 1.479108-5 6.328509+5 1.480000-5 6.336382+5 1.531087-5 6.797529+5 1.548817-5 6.959270+5 1.621810-5 7.646775+5 1.659587-5 8.006849+5 1.737801-5 8.766863+5 1.778279-5 9.172817+5 1.800000-5 9.388379+5 1.840772-5 9.791890+5 1.927525-5 1.067524+6 2.018366-5 1.158477+6 2.065380-5 1.206743+6 2.070000-5 1.211421+6 2.113489-5 1.254080+6 2.190000-5 1.330408+6 2.213095-5 1.353220+6 2.230000-5 1.369333+6 2.317395-5 1.453527+6 2.350000-5 1.484384+6 2.355000-5 1.488924+6 2.359000-5 1.492550+6 2.359000-5 1.542487+7 2.454709-5 1.362743+7 2.483133-5 1.315629+7 2.600160-5 1.146613+7 2.630268-5 1.108862+7 2.635000-5 1.103099+7 2.635000-5 1.772823+7 2.722701-5 1.606027+7 2.754229-5 1.551109+7 2.786121-5 1.498420+7 2.800000-5 1.476313+7 2.917427-5 1.308619+7 2.951209-5 1.266019+7 2.985383-5 1.225080+7 3.090295-5 1.111748+7 3.126079-5 1.077090+7 3.162278-5 1.043784+7 3.235937-5 9.814426+6 3.273407-5 9.522009+6 3.311311-5 9.241349+6 3.350000-5 8.966333+6 3.467369-5 8.221085+6 3.507519-5 7.992658+6 3.570000-5 7.659537+6 3.630781-5 7.361995+6 3.672823-5 7.168330+6 3.758374-5 6.804818+6 3.801894-5 6.633814+6 3.845918-5 6.470483+6 3.935501-5 6.169214+6 4.027170-5 5.892220+6 4.073803-5 5.761397+6 4.168694-5 5.517029+6 4.175000-5 5.502019+6 4.175000-5 5.564034+6 4.220000-5 5.461838+6 4.315191-5 5.260531+6 4.365158-5 5.161785+6 4.466836-5 4.977490+6 4.518559-5 4.893186+6 4.623810-5 4.733323+6 4.650000-5 4.695419+6 4.677351-5 4.656855+6 4.731513-5 4.583652+6 4.800000-5 4.499509+6 4.900000-5 4.383840+6 4.954502-5 4.323502+6 5.011872-5 4.263078+6 5.069907-5 4.206526+6 5.150000-5 4.131257+6 5.188000-5 4.097232+6 5.300000-5 4.000776+6 5.350000-5 3.961513+6 5.370318-5 3.945929+6 5.500000-5 3.849014+6 5.559043-5 3.805978+6 5.580000-5 3.791238+6 5.688529-5 3.719932+6 5.754399-5 3.677630+6 5.821032-5 3.636460+6 5.956621-5 3.555718+6 6.000000-5 3.531384+6 6.025596-5 3.517305+6 6.095369-5 3.478688+6 6.165950-5 3.442020+6 6.237348-5 3.406103+6 6.309573-5 3.369257+6 6.382635-5 3.333717+6 6.400000-5 3.325655+6 6.650000-5 3.211517+6 6.683439-5 3.196433+6 6.839116-5 3.131080+6 6.918310-5 3.098383+6 7.000000-5 3.065469+6 7.161434-5 3.005284+6 7.244360-5 2.975465+6 7.328245-5 2.944702+6 7.413102-5 2.915356+6 7.500000-5 2.885084+6 7.585776-5 2.855768+6 7.673615-5 2.826538+6 7.852356-5 2.770979+6 7.943282-5 2.743585+6 8.035261-5 2.715476+6 8.128305-5 2.688454+6 8.222426-5 2.660912+6 8.413951-5 2.606516+6 8.511380-5 2.580475+6 8.709636-5 2.527095+6 8.810489-5 2.499920+6 8.912509-5 2.473291+6 9.015711-5 2.447339+6 9.225714-5 2.396349+6 9.300000-5 2.378050+6 9.332543-5 2.370078+6 9.500000-5 2.328470+6 9.660509-5 2.290390+6 9.900000-5 2.236245+6 1.000000-4 2.213499+6 1.011579-4 2.186812+6 1.059300-4 2.084626+6 1.060000-4 2.083137+6 1.071519-4 2.059035+6 1.080000-4 2.041076+6 1.096478-4 2.006860+6 1.122018-4 1.956312+6 1.124400-4 1.951745+6 1.124400-4 2.807747+6 1.131000-4 2.913349+6 1.135500-4 2.988317+6 1.140000-4 3.063763+6 1.144500-4 3.138872+6 1.150000-4 3.229389+6 1.155500-4 3.316326+6 1.157900-4 3.351573+6 1.157900-4 3.919957+6 1.161449-4 4.012113+6 1.164000-4 4.076099+6 1.166500-4 4.139404+6 1.170000-4 4.225998+6 1.175000-4 4.344242+6 1.180000-4 4.454833+6 1.181000-4 4.476760+6 1.185000-4 4.557522+6 1.187000-4 4.597238+6 1.188502-4 4.624456+6 1.190000-4 4.651997+6 1.192000-4 4.687349+6 1.195000-4 4.735193+6 1.198600-4 4.790162+6 1.200000-4 4.808814+6 1.202264-4 4.836794+6 1.205000-4 4.871264+6 1.210000-4 4.919136+6 1.212000-4 4.936042+6 1.216186-4 4.964121+6 1.218000-4 4.973912+6 1.222000-4 4.989144+6 1.225000-4 4.997072+6 1.227000-4 4.999072+6 1.232000-4 4.998655+6 1.233000-4 4.997399+6 1.238000-4 4.982969+6 1.243000-4 4.962245+6 1.244515-4 4.954092+6 1.245000-4 4.951491+6 1.250000-4 4.918646+6 1.251000-4 4.911128+6 1.258925-4 4.843060+6 1.260000-4 4.832683+6 1.267000-4 4.758160+6 1.273503-4 4.684158+6 1.275000-4 4.666031+6 1.285000-4 4.538885+6 1.290000-4 4.473490+6 1.295000-4 4.406453+6 1.307000-4 4.244160+6 1.307800-4 4.233311+6 1.322000-4 4.040508+6 1.330000-4 3.934658+6 1.333521-4 3.888423+6 1.340000-4 3.805602+6 1.350000-4 3.679989+6 1.364583-4 3.504768+6 1.365000-4 3.499940+6 1.380384-4 3.325720+6 1.392500-4 3.196247+6 1.412538-4 2.997182+6 1.415000-4 2.974173+6 1.428894-4 2.847360+6 1.450000-4 2.671994+6 1.479108-4 2.455859+6 1.490000-4 2.382876+6 1.520000-4 2.203764+6 1.531087-4 2.144891+6 1.540000-4 2.100165+6 1.548817-4 2.058477+6 1.550000-4 2.053006+6 1.560000-4 2.007437+6 1.566751-4 1.978950+6 1.580000-4 1.924808+6 1.590000-4 1.886854+6 1.600000-4 1.851008+6 1.610000-4 1.817540+6 1.620000-4 1.785769+6 1.627000-4 1.764947+6 1.640590-4 1.726690+6 1.650000-4 1.702132+6 1.659587-4 1.678458+6 1.660000-4 1.677450+6 1.670000-4 1.654443+6 1.678804-4 1.635258+6 1.680000-4 1.632660+6 1.690000-4 1.611882+6 1.698244-4 1.595579+6 1.705000-4 1.583097+6 1.720000-4 1.556706+6 1.737801-4 1.529037+6 1.740000-4 1.525676+6 1.760000-4 1.498556+6 1.778279-4 1.476942+6 1.780000-4 1.474906+6 1.800000-4 1.454221+6 1.805000-4 1.449395+6 1.820000-4 1.436223+6 1.829800-4 1.428246+6 1.830000-4 1.428096+6 1.842000-4 1.418870+6 1.850000-4 1.413186+6 1.865000-4 1.403518+6 1.883649-4 1.392677+6 1.890000-4 1.389401+6 1.905461-4 1.382208+6 1.915000-4 1.377900+6 1.927525-4 1.373306+6 1.950000-4 1.365190+6 1.972423-4 1.359161+6 1.990000-4 1.354606+6 2.018366-4 1.348880+6 2.041738-4 1.345128+6 2.065380-4 1.342479+6 2.089296-4 1.340486+6 2.093500-4 1.340156+6 2.093500-4 1.681556+6 2.113489-4 1.679235+6 2.150000-4 1.675710+6 2.220000-4 1.671603+6 2.238721-4 1.670834+6 2.264644-4 1.669654+6 2.281200-4 1.669044+6 2.285800-4 1.668917+6 2.285800-4 1.775840+6 2.300000-4 1.775413+6 2.317395-4 1.774463+6 2.344229-4 1.772970+6 2.350000-4 1.772731+6 2.371374-4 1.771901+6 2.380000-4 1.771668+6 2.398833-4 1.770602+6 2.400000-4 1.770536+6 2.426610-4 1.768654+6 2.454709-4 1.766963+6 2.483133-4 1.764654+6 2.540973-4 1.760089+6 2.570396-4 1.757314+6 2.600160-4 1.754040+6 2.620000-4 1.751968+6 2.630268-4 1.750888+6 2.660725-4 1.746804+6 2.691535-4 1.742372+6 2.730000-4 1.737365+6 2.754229-4 1.733660+6 2.786121-4 1.728241+6 2.830000-4 1.721169+6 2.850100-4 1.717563+6 2.850100-4 1.849568+6 2.851018-4 1.849388+6 2.884032-4 1.842430+6 2.917427-4 1.835620+6 2.951209-4 1.828157+6 2.985383-4 1.820329+6 3.019952-4 1.812651+6 3.054921-4 1.803844+6 3.100000-4 1.792224+6 3.126079-4 1.785646+6 3.150000-4 1.779579+6 3.162278-4 1.776154+6 3.235937-4 1.754729+6 3.273407-4 1.744256+6 3.280000-4 1.742428+6 3.388442-4 1.709164+6 3.430000-4 1.696845+6 3.507519-4 1.671695+6 3.548134-4 1.658984+6 3.589219-4 1.646253+6 3.600000-4 1.642965+6 3.630781-4 1.632586+6 3.715352-4 1.605099+6 3.780000-4 1.584646+6 3.801894-4 1.577153+6 3.845918-4 1.562324+6 3.850000-4 1.560960+6 3.930000-4 1.534730+6 3.981072-4 1.518472+6 4.000000-4 1.511975+6 4.027170-4 1.502609+6 4.120975-4 1.471353+6 4.168694-4 1.455879+6 4.200000-4 1.445809+6 4.365158-4 1.391378+6 4.415704-4 1.375441+6 4.430000-4 1.370980+6 4.518559-4 1.342206+6 4.570882-4 1.325769+6 4.677351-4 1.293531+6 4.700000-4 1.286872+6 4.731513-4 1.277112+6 4.786301-4 1.260390+6 4.954502-4 1.211162+6 5.000000-4 1.198201+6 5.011872-4 1.194745+6 5.150000-4 1.155839+6 5.188000-4 1.145517+6 5.248075-4 1.129291+6 5.308844-4 1.113014+6 5.370318-4 1.096520+6 5.432503-4 1.080267+6 5.495409-4 1.064257+6 5.559043-4 1.048483+6 5.623413-4 1.032609+6 5.688529-4 1.016929+6 5.900000-4 9.671086+5 6.000000-4 9.446678+5 6.025596-4 9.390676+5 6.095369-4 9.240165+5 6.100000-4 9.230323+5 6.200000-4 9.016624+5 6.309573-4 8.792039+5 6.531306-4 8.355801+5 6.606934-4 8.211862+5 6.683439-4 8.069896+5 6.760830-4 7.930330+5 6.918310-4 7.654757+5 7.079458-4 7.387085+5 7.161434-4 7.253941+5 7.244360-4 7.122367+5 7.328245-4 6.991426+5 7.413102-4 6.862917+5 7.585776-4 6.613059+5 7.673615-4 6.489303+5 7.762471-4 6.367021+5 7.852356-4 6.247084+5 8.000000-4 6.054807+5 8.035261-4 6.010300+5 8.128305-4 5.895280+5 8.222426-4 5.782493+5 8.500000-4 5.463222+5 8.511380-4 5.450587+5 8.709636-4 5.236251+5 8.810489-4 5.131984+5 8.861400-4 5.080586+5 8.861400-4 1.787497+6 8.912509-4 1.770939+6 9.015711-4 1.738077+6 9.054900-4 1.725856+6 9.054900-4 2.646846+6 9.120108-4 2.613610+6 9.225714-4 2.561157+6 9.236000-4 2.556125+6 9.549926-4 2.409770+6 9.660509-4 2.361259+6 9.700000-4 2.344009+6 1.000000-3 2.218907+6 1.011579-3 2.170869+6 1.035142-3 2.078011+6 1.047129-3 2.033137+6 1.050000-3 2.020527+6 1.071519-3 1.930615+6 1.083927-3 1.881317+6 1.096478-3 1.833274+6 1.122018-3 1.740725+6 1.135011-3 1.696229+6 1.148154-3 1.652877+6 1.150000-3 1.646917+6 1.161449-3 1.610564+6 1.170500-3 1.582094+6 1.170500-3 1.810208+6 1.174898-3 1.796444+6 1.185000-3 1.765459+6 1.190000-3 1.749749+6 1.202264-3 1.711549+6 1.216186-3 1.669659+6 1.230269-3 1.628407+6 1.244515-3 1.588207+6 1.258925-3 1.548979+6 1.259900-3 1.546334+6 1.259900-3 1.635057+6 1.273503-3 1.598728+6 1.285000-3 1.569008+6 1.287000-3 1.563879+6 1.288250-3 1.560654+6 1.303167-3 1.522522+6 1.305000-3 1.517929+6 1.333521-3 1.448452+6 1.350000-3 1.410473+6 1.364583-3 1.378087+6 1.373000-3 1.359601+6 1.380384-3 1.343623+6 1.400000-3 1.302192+6 1.409900-3 1.281803+6 1.409900-3 1.338821+6 1.412538-3 1.333353+6 1.428894-3 1.300199+6 1.445440-3 1.267915+6 1.450000-3 1.259223+6 1.462177-3 1.236337+6 1.470000-3 1.221967+6 1.479108-3 1.205490+6 1.500000-3 1.168550+6 1.513561-3 1.145375+6 1.531087-3 1.116367+6 1.584893-3 1.033063+6 1.603245-3 1.006659+6 1.621810-3 9.809683+5 1.650000-3 9.433780+5 1.659587-3 9.310411+5 1.678804-3 9.068618+5 1.698244-3 8.833374+5 1.717908-3 8.603781+5 1.737801-3 8.380483+5 1.778279-3 7.949374+5 1.819701-3 7.541160+5 1.850000-3 7.260927+5 1.883649-3 6.963717+5 1.900000-3 6.824584+5 1.905461-3 6.778725+5 1.927525-3 6.597929+5 1.949845-3 6.421877+5 1.970000-3 6.268815+5 2.000000-3 6.050155+5 2.018366-3 5.920793+5 2.041738-3 5.761807+5 2.065380-3 5.606423+5 2.070000-3 5.576785+5 2.113489-3 5.306766+5 2.162719-3 5.022940+5 2.213095-3 4.754718+5 2.238721-3 4.626190+5 2.264644-3 4.501179+5 2.317395-3 4.260527+5 2.371374-3 4.031378+5 2.426610-3 3.812966+5 2.454709-3 3.708051+5 2.540973-3 3.411114+5 2.570396-3 3.317018+5 2.600160-3 3.225656+5 2.630268-3 3.135893+5 2.660725-3 3.048482+5 2.720000-3 2.888112+5 2.722701-3 2.881095+5 2.754229-3 2.800959+5 2.786121-3 2.723174+5 2.851018-3 2.574351+5 2.900000-3 2.468700+5 2.917427-3 2.432365+5 2.951209-3 2.364030+5 2.985383-3 2.297399+5 3.019952-3 2.232729+5 3.090295-3 2.109001+5 3.162278-3 1.992424+5 3.198895-3 1.936371+5 3.235937-3 1.881970+5 3.273407-3 1.828802+5 3.311311-3 1.776772+5 3.349654-3 1.726292+5 3.507519-3 1.538678+5 3.548134-3 1.494976+5 3.589219-3 1.452272+5 3.630781-3 1.410829+5 3.650000-3 1.392241+5 3.715352-3 1.331284+5 3.758374-3 1.293061+5 3.801894-3 1.255987+5 3.845918-3 1.219989+5 3.890451-3 1.184970+5 3.981072-3 1.118010+5 4.000000-3 1.104710+5 4.027170-3 1.086014+5 4.073803-3 1.054760+5 4.120975-3 1.024450+5 4.168694-3 9.949545+4 4.216965-3 9.662054+4 4.265795-3 9.382466+4 4.315191-3 9.111329+4 4.365158-3 8.847923+4 4.415704-3 8.591487+4 4.466836-3 8.342736+4 4.518559-3 8.100185+4 4.570882-3 7.864857+4 4.677351-3 7.415194+4 4.786301-3 6.989581+4 4.800000-3 6.938535+4 4.841724-3 6.785848+4 4.897788-3 6.587923+4 4.954502-3 6.396034+4 5.011872-3 6.209546+4 5.069907-3 6.027478+4 5.128614-3 5.850874+4 5.248075-3 5.513536+4 5.308844-3 5.351932+4 5.370318-3 5.194737+4 5.432503-3 5.042311+4 5.495409-3 4.893950+4 5.500000-3 4.883366+4 5.559043-3 4.749954+4 5.623413-3 4.610380+4 5.688529-3 4.474297+4 5.712800-3 4.424907+4 5.712800-3 1.272383+5 5.754399-3 1.252123+5 5.830000-3 1.216505+5 5.930000-3 1.166538+5 5.956621-3 1.152981+5 6.000000-3 1.131354+5 6.025596-3 1.118858+5 6.095369-3 1.085691+5 6.165300-3 1.053779+5 6.165300-3 1.438175+5 6.237348-3 1.398606+5 6.280000-3 1.375456+5 6.280670-3 1.375082+5 6.300000-3 1.364328+5 6.309573-3 1.359036+5 6.370000-3 1.326294+5 6.400000-3 1.309959+5 6.456542-3 1.279919+5 6.513300-3 1.250713+5 6.513300-3 1.443888+5 6.531306-3 1.433709+5 6.606934-3 1.392043+5 6.620000-3 1.385013+5 6.683439-3 1.352504+5 6.700000-3 1.344196+5 6.770000-3 1.309487+5 6.800000-3 1.294840+5 6.839116-3 1.276072+5 6.918310-3 1.239220+5 7.079458-3 1.169466+5 7.161434-3 1.136114+5 7.244360-3 1.103333+5 7.328245-3 1.071513+5 7.498942-3 1.009740+5 7.673615-3 9.516182+4 7.762471-3 9.238553+4 7.800000-3 9.125128+4 7.852356-3 8.970036+4 8.035261-3 8.452117+4 8.128305-3 8.204444+4 8.222426-3 7.962566+4 8.317638-3 7.728009+4 8.413951-3 7.499006+4 8.511380-3 7.276957+4 8.609938-3 7.061666+4 8.709636-3 6.851888+4 8.810489-3 6.648514+4 8.912509-3 6.451125+4 9.015711-3 6.258795+4 9.120108-3 6.072105+4 9.225714-3 5.891046+4 9.332543-3 5.715517+4 9.440609-3 5.545208+4 9.660509-3 5.220025+4 9.885531-3 4.913817+4 1.011579-2 4.625763+4 1.023293-2 4.487868+4 1.035142-2 4.354029+4 1.040000-2 4.300763+4 1.047129-2 4.223609+4 1.059254-2 4.096775+4 1.071519-2 3.973832+4 1.096478-2 3.739149+4 1.109175-2 3.627169+4 1.122018-2 3.518554+4 1.148154-2 3.308503+4 1.150000-2 3.294339+4 1.174898-2 3.111294+4 1.179700-2 3.077585+4 1.188502-2 3.017113+4 1.202264-2 2.925855+4 1.216186-2 2.836763+4 1.258925-2 2.585876+4 1.273503-2 2.507418+4 1.288250-2 2.431389+4 1.303167-2 2.357679+4 1.318257-2 2.285735+4 1.333521-2 2.216048+4 1.348963-2 2.148519+4 1.350000-2 2.144088+4 1.364583-2 2.082696+4 1.380384-2 2.018914+4 1.412538-2 1.897279+4 1.428894-2 1.839317+4 1.450000-2 1.767817+4 1.479108-2 1.675110+4 1.500000-2 1.612650+4 1.513561-2 1.573600+4 1.531087-2 1.525049+4 1.548817-2 1.477992+4 1.566751-2 1.432364+4 1.584893-2 1.388181+4 1.603245-2 1.345391+4 1.650000-2 1.244037+4 1.678804-2 1.186830+4 1.698244-2 1.150279+4 1.717908-2 1.114596+4 1.737801-2 1.080046+4 1.757924-2 1.046586+4 1.778279-2 1.014191+4 1.798871-2 9.827555+3 1.800000-2 9.810713+3 1.819701-2 9.521329+3 1.840772-2 9.224760+3 1.883649-2 8.659649+3 1.927525-2 8.129963+3 1.950000-2 7.874999+3 1.972423-2 7.631427+3 2.000000-2 7.344717+3 2.018366-2 7.161970+3 2.041738-2 6.938423+3 2.065380-2 6.721806+3 2.089296-2 6.511908+3 2.137962-2 6.112015+3 2.162719-2 5.921604+3 2.187762-2 5.736226+3 2.238721-2 5.380944+3 2.290868-2 5.047996+3 2.317395-2 4.889493+3 2.344229-2 4.736078+3 2.371374-2 4.586949+3 2.398833-2 4.442639+3 2.426610-2 4.302985+3 2.454709-2 4.167662+3 2.483133-2 4.036707+3 2.540973-2 3.787308+3 2.570396-2 3.668569+3 2.600160-2 3.552796+3 2.630268-2 3.440158+3 2.691535-2 3.225691+3 2.722701-2 3.123554+3 2.754229-2 3.024722+3 2.786121-2 2.929096+3 2.818383-2 2.836565+3 2.851018-2 2.747019+3 2.917427-2 2.575850+3 2.951209-2 2.494405+3 2.985383-2 2.415597+3 3.000000-2 2.382941+3 3.019952-2 2.339331+3 3.054921-2 2.265006+3 3.090295-2 2.193036+3 3.126079-2 2.123402+3 3.273407-2 1.865620+3 3.311311-2 1.806327+3 3.349654-2 1.748964+3 3.467369-2 1.587618+3 3.548134-2 1.487749+3 3.589219-2 1.440225+3 3.630781-2 1.394250+3 3.672823-2 1.349723+3 3.715352-2 1.306648+3 3.758374-2 1.264975+3 3.845918-2 1.185408+3 3.890451-2 1.147562+3 3.935501-2 1.110950+3 3.981072-2 1.075487+3 4.000000-2 1.061122+3 4.045600-2 1.027580+3 4.045600-2 5.936863+3 4.073803-2 5.839490+3 4.103000-2 5.741077+3 4.120975-2 5.675732+3 4.140000-2 5.607688+3 4.168694-2 5.515229+3 4.190000-2 5.447975+3 4.216965-2 5.352446+3 4.265795-2 5.185189+3 4.270000-2 5.171120+3 4.300000-2 5.080234+3 4.315191-2 5.035049+3 4.365158-2 4.890327+3 4.450000-2 4.657644+3 4.570882-2 4.336437+3 4.623810-2 4.205165+3 4.677351-2 4.077852+3 4.800000-2 3.805577+3 4.897788-2 3.609026+3 4.954502-2 3.501430+3 5.011872-2 3.397058+3 5.069907-2 3.295804+3 5.128614-2 3.197573+3 5.188000-2 3.102286+3 5.248075-2 3.009843+3 5.308844-2 2.920172+3 5.432503-2 2.748582+3 5.495409-2 2.664604+3 5.623413-2 2.504296+3 5.821032-2 2.281728+3 6.000000-2 2.102985+3 6.095369-2 2.015532+3 6.165950-2 1.954000+3 6.237348-2 1.893605+3 6.456542-2 1.723225+3 6.531306-2 1.669907+3 6.606934-2 1.618242+3 6.918310-2 1.427125+3 6.998420-2 1.382993+3 7.161434-2 1.298793+3 7.244360-2 1.258639+3 7.328245-2 1.219724+3 7.413102-2 1.182013+3 7.585776-2 1.109974+3 7.673615-2 1.075091+3 7.762471-2 1.041307+3 7.852356-2 1.008581+3 8.000000-2 9.577959+2 8.317638-2 8.597710+2 8.413951-2 8.327615+2 8.709636-2 7.567255+2 8.912509-2 7.099415+2 9.120108-2 6.660085+2 9.225714-2 6.450745+2 9.332543-2 6.247998+2 9.500000-2 5.947225+2 9.772372-2 5.493513+2 1.023293-1 4.827419+2 1.035142-1 4.673944+2 1.047129-1 4.525342+2 1.059254-1 4.381483+2 1.083927-1 4.107363+2 1.161449-1 3.383237+2 1.188502-1 3.171446+2 1.202264-1 3.070583+2 1.216186-1 2.972943+2 1.244515-1 2.785802+2 1.258925-1 2.696711+2 1.273503-1 2.610466+2 1.288250-1 2.526996+2 1.303167-1 2.446204+2 1.333521-1 2.292186+2 1.348963-1 2.218854+2 1.380384-1 2.079162+2 1.396368-1 2.012656+2 1.412538-1 1.948277+2 1.428894-1 1.885965+2 1.445440-1 1.825646+2 1.462177-1 1.767264+2 1.496236-1 1.656045+2 1.513561-1 1.603093+2 1.548817-1 1.502235+2 1.610000-1 1.346657+2 1.659587-1 1.236213+2 1.698244-1 1.158473+2 1.717908-1 1.121459+2 1.737801-1 1.085629+2 1.757924-1 1.050946+2 1.819701-1 9.534165+1 1.840772-1 9.229688+1 1.862087-1 8.934944+1 1.883649-1 8.649619+1 1.905461-1 8.373476+1 1.949845-1 7.847385+1 1.995262-1 7.354385+1 2.000000-1 7.305397+1 2.018366-1 7.119632+1 2.041738-1 6.892373+1 2.065380-1 6.672383+1 2.089296-1 6.459481+1 2.113489-1 6.253386+1 2.162719-1 5.864410+1 2.187762-1 5.679101+1 2.213095-1 5.499697+1 2.213400-1 5.497584+1 2.264644-1 5.157726+1 2.317395-1 4.837390+1 2.344229-1 4.684771+1 2.371374-1 4.536979+1 2.398833-1 4.393854+1 2.426610-1 4.255261+1 2.454709-1 4.121041+1 2.483133-1 3.991061+1 2.511886-1 3.865184+1 2.540973-1 3.743333+1 2.570396-1 3.625329+1 2.600160-1 3.512665+1 2.630268-1 3.403507+1 2.660725-1 3.297742+1 2.691535-1 3.195266+1 2.722701-1 3.095978+1 2.754229-1 2.999780+1 2.786121-1 2.906580+1 2.818383-1 2.816300+1 2.851018-1 2.728850+1 2.884032-1 2.644115+1 2.985383-1 2.405788+1 3.000000-1 2.374098+1 3.019952-1 2.331756+1 3.054921-1 2.260005+1 3.090295-1 2.190468+1 3.126079-1 2.123070+1 3.162278-1 2.057746+1 3.198895-1 1.994455+1 3.273407-1 1.873656+1 3.311311-1 1.817025+1 3.349654-1 1.762124+1 3.388442-1 1.708882+1 3.427678-1 1.657339+1 3.467369-1 1.607358+1 3.507519-1 1.558885+1 3.589219-1 1.466308+1 3.630781-1 1.422104+1 3.672823-1 1.379235+1 3.715352-1 1.337669+1 3.758374-1 1.297356+1 3.801894-1 1.259027+1 3.845918-1 1.221833+1 3.890451-1 1.185753+1 3.935501-1 1.150815+1 4.027170-1 1.084007+1 4.073803-1 1.052074+1 4.120975-1 1.021082+1 4.168694-1 9.910120+0 4.216965-1 9.618279+0 4.265795-1 9.335051+0 4.315191-1 9.065665+0 4.365158-1 8.804137+0 4.415705-1 8.550258+0 4.466836-1 8.304237+0 4.518559-1 8.065323+0 4.570882-1 7.833293+0 4.623810-1 7.607952+0 4.677351-1 7.389164+0 4.731513-1 7.176666+0 4.786301-1 6.970342+0 4.954502-1 6.398339+0 5.011872-1 6.218392+0 5.069907-1 6.043923+0 5.128614-1 5.874394+0 5.188000-1 5.709666+0 5.370318-1 5.242812+0 5.432503-1 5.099256+0 5.495409-1 4.959631+0 5.559043-1 4.823832+0 5.623413-1 4.691832+0 5.688529-1 4.563788+0 5.754399-1 4.439323+0 5.821032-1 4.318253+0 5.888437-1 4.200485+0 5.956621-1 4.085932+0 6.025596-1 3.977070+0 6.095369-1 3.871112+0 6.165950-1 3.767985+0 6.237348-1 3.667637+0 6.309573-1 3.570025+0 6.382635-1 3.475293+0 6.531306-1 3.293306+0 6.606935-1 3.205918+0 6.623700-1 3.187463+0 6.683439-1 3.122928+0 6.760830-1 3.042090+0 6.839117-1 2.963370+0 6.918310-1 2.886688+0 6.998420-1 2.811996+0 7.079458-1 2.739487+0 7.244360-1 2.600050+0 7.328245-1 2.533018+0 7.413102-1 2.469316+0 7.585776-1 2.346714+0 7.673615-1 2.287716+0 7.762471-1 2.230205+0 7.852356-1 2.174188+0 7.943282-1 2.119730+0 8.035261-1 2.066637+0 8.128305-1 2.014874+0 8.222427-1 1.965783+0 8.317638-1 1.917890+0 8.413951-1 1.871167+0 8.511380-1 1.825612+0 8.609938-1 1.781166+0 8.709636-1 1.737807+0 8.810489-1 1.695679+0 8.912509-1 1.654573+0 9.015711-1 1.615613+0 9.120108-1 1.577606+0 9.225714-1 1.540492+0 9.332543-1 1.504255+0 9.440609-1 1.468872+0 9.549926-1 1.434321+0 9.660509-1 1.400736+0 9.772372-1 1.367970+0 9.885531-1 1.336967+0 1.000000+0 1.306668+0 1.011579+0 1.277057+0 1.023293+0 1.248115+0 1.035142+0 1.219830+0 1.047129+0 1.192207+0 1.059254+0 1.165213+0 1.071519+0 1.138914+0 1.083927+0 1.113207+0 1.096478+0 1.088082+0 1.109175+0 1.063523+0 1.122018+0 1.040095+0 1.135011+0 1.017188+0 1.148154+0 9.947973-1 1.161449+0 9.729003-1 1.188502+0 9.305432-1 1.202264+0 9.100612-1 1.216186+0 8.901062-1 1.230269+0 8.705891-1 1.244515+0 8.515068-1 1.250000+0 8.443294-1 1.258925+0 8.328506-1 1.288250+0 7.978078-1 1.303167+0 7.808440-1 1.318257+0 7.642407-1 1.333521+0 7.479914-1 1.348963+0 7.320864-1 1.364583+0 7.165860-1 1.380384+0 7.014147-1 1.396368+0 6.865699-1 1.412538+0 6.720386-1 1.428894+0 6.582103-1 1.479108+0 6.184087-1 1.513561+0 5.932206-1 1.531087+0 5.810644-1 1.566751+0 5.574936-1 1.584893+0 5.460717-1 1.659587+0 5.039038-1 1.698244+0 4.840642-1 1.717908+0 4.744399-1 1.778279+0 4.468092-1 1.798871+0 4.379611-1 1.819701+0 4.295355-1 1.840772+0 4.212721-1 1.883649+0 4.052192-1 1.927525+0 3.897840-1 1.949845+0 3.822884-1 2.000000+0 3.663232-1 2.018366+0 3.607416-1 2.041738+0 3.538326-1 2.044000+0 3.531751-1 2.065380+0 3.472434-1 2.113489+0 3.344693-1 2.137962+0 3.282618-1 2.162719+0 3.221699-1 2.213095+0 3.103236-1 2.264644+0 2.989628-1 2.290868+0 2.934392-1 2.317395+0 2.880177-1 2.344229+0 2.828635-1 2.398833+0 2.728302-1 2.426610+0 2.679496-1 2.454709+0 2.631565-1 2.511886+0 2.538265-1 2.570396+0 2.448655-1 2.600160+0 2.405043-1 2.630268+0 2.362210-1 2.660725+0 2.321407-1 2.722701+0 2.241905-1 2.754229+0 2.203194-1 2.786121+0 2.165153-1 2.818383+0 2.127770-1 2.884032+0 2.054931-1 2.951209+0 1.984872-1 3.000000+0 1.936441-1 3.019952+0 1.917199-1 3.054921+0 1.885147-1 3.162278+0 1.792169-1 3.198895+0 1.762218-1 3.235937+0 1.732767-1 3.273407+0 1.703811-1 3.349654+0 1.647342-1 3.427678+0 1.592968-1 3.467369+0 1.566457-1 3.507519+0 1.540389-1 3.548134+0 1.515520-1 3.672823+0 1.443298-1 3.715352+0 1.420006-1 3.758374+0 1.397089-1 3.801894+0 1.374543-1 3.890451+0 1.330539-1 4.000000+0 1.279550-1 4.027170+0 1.267419-1 4.073803+0 1.247051-1 4.120975+0 1.227599-1 4.265795+0 1.171043-1 4.315191+0 1.152783-1 4.365158+0 1.134807-1 4.415704+0 1.117113-1 4.570882+0 1.065669-1 4.677351+0 1.032827-1 4.731513+0 1.016788-1 4.786301+0 1.000998-1 4.841724+0 9.858917-2 5.011872+0 9.419269-2 5.069907+0 9.277166-2 5.188000+0 8.999363-2 5.248075+0 8.863603-2 5.432503+0 8.468500-2 5.559043+0 8.215895-2 5.623413+0 8.092435-2 5.688529+0 7.970829-2 5.754399+0 7.854446-2 5.956621+0 7.515394-2 6.000000+0 7.446065-2 6.025596+0 7.405692-2 6.165950+0 7.191080-2 6.237348+0 7.086125-2 6.456542+0 6.780362-2 6.683439+0 6.488883-2 6.760830+0 6.394535-2 6.839116+0 6.301560-2 6.918310+0 6.212409-2 7.161434+0 5.952458-2 7.244360+0 5.868268-2 7.413102+0 5.703456-2 7.585776+0 5.543281-2 7.852356+0 5.311418-2 8.128305+0 5.090042-2 8.222427+0 5.018320-2 8.317638+0 4.947609-2 8.413951+0 4.879738-2 8.709636+0 4.681659-2 8.810489+0 4.617452-2 8.912509+0 4.554127-2 9.015711+0 4.491674-2 9.225714+0 4.369331-2 9.549926+0 4.192040-2 1.000000+1 3.967566-2 1.023293+1 3.859878-2 1.035142+1 3.808369-2 1.083927+1 3.609111-2 1.100000+1 3.547662-2 1.122018+1 3.466575-2 1.135011+1 3.420324-2 1.161449+1 3.329675-2 1.216186+1 3.155524-2 1.258925+1 3.031350-2 1.273503+1 2.991053-2 1.288250+1 2.952215-2 1.300000+1 2.921950-2 1.348963+1 2.801881-2 1.364583+1 2.765518-2 1.412538+1 2.659232-2 1.428894+1 2.624722-2 1.479108+1 2.523860-2 1.566751+1 2.364294-2 1.584893+1 2.333692-2 1.621810+1 2.273702-2 1.640590+1 2.244288-2 1.659587+1 2.215870-2 1.678804+1 2.187817-2 1.737801+1 2.105771-2 1.840772+1 1.975834-2 1.862087+1 1.950826-2 1.972423+1 1.830459-2 2.089296+1 1.717521-2 2.113489+1 1.695845-2 2.137962+1 1.674442-2 2.162719+1 1.653698-2 2.200000+1 1.623378-2 2.238721+1 1.593004-2 2.454709+1 1.441833-2 2.511886+1 1.406339-2 2.660725+1 1.321382-2 2.818383+1 1.241558-2 2.851018+1 1.226184-2 2.884032+1 1.211036-2 2.951209+1 1.181847-2 3.019952+1 1.153361-2 3.126079+1 1.111923-2 3.388442+1 1.020929-2 3.467369+1 9.963274-3 3.672823+1 9.373876-3 4.027170+1 8.502505-3 4.073803+1 8.399449-3 4.120975+1 8.297807-3 4.168694+1 8.197427-3 4.216965+1 8.099725-3 4.315191+1 7.907827-3 4.466836+1 7.628473-3 4.677351+1 7.271342-3 5.188000+1 6.527737-3 5.308844+1 6.373110-3 5.623413+1 6.002391-3 6.165950+1 5.453572-3 6.237348+1 5.388602-3 6.382635+1 5.261157-3 6.456542+1 5.198588-3 6.531306+1 5.137578-3 6.683439+1 5.017715-3 7.079458+1 4.730147-3 7.498942+1 4.459094-3 8.413951+1 3.962694-3 8.709636+1 3.824847-3 9.332543+1 3.563379-3 1.035142+2 3.204308-3 1.047129+2 3.166714-3 1.059254+2 3.129565-3 1.071519+2 3.092890-3 1.096478+2 3.020821-3 1.109175+2 2.985425-3 1.122018+2 2.950447-3 1.148154+2 2.882330-3 1.202264+2 2.750795-3 1.318257+2 2.505454-3 1.462177+2 2.255524-3 1.678804+2 1.960628-3 1.737801+2 1.893138-3 1.862087+2 1.765051-3 2.065380+2 1.588985-3 2.089296+2 1.570540-3 2.113489+2 1.552310-3 2.137962+2 1.534304-3 2.187762+2 1.498916-3 2.213095+2 1.481532-3 2.238721+2 1.464350-3 2.290868+2 1.430785-3 2.398833+2 1.365949-3 2.630268+2 1.244959-3 2.917427+2 1.121614-3 3.349654+2 9.759507-4 3.467369+2 9.425926-4 3.715352+2 8.792594-4 4.120975+2 7.921483-4 4.168694+2 7.830186-4 4.216965+2 7.739942-4 4.265795+2 7.650781-4 4.365158+2 7.475528-4 4.415704+2 7.389421-4 4.466836+2 7.304305-4 4.570882+2 7.137685-4 4.786301+2 6.815773-4 1.047129+3 3.110262-4 1.161449+3 2.803519-4 1.333521+3 2.441063-4 1.380384+3 2.358022-4 1.479108+3 2.200319-4 3.273407+3 9.925954-5 3.311311+3 9.812101-5 3.349654+3 9.699554-5 3.388442+3 9.588316-5 3.467369+3 9.369657-5 3.507519+3 9.262209-5 3.548134+3 9.155994-5 3.630781+3 8.947543-5 3.801894+3 8.544779-5 6.606934+4 4.914905-6 1.000000+5 3.247052-6 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.810000-6 4.810000-6 6.510000-6 4.810000-6 6.510000-6 4.974812-6 6.850000-6 5.032130-6 6.850000-6 5.176169-6 7.200000-6 5.286844-6 7.673615-6 5.470325-6 8.810489-6 5.962502-6 9.350000-6 6.155779-6 9.700000-6 6.254834-6 1.027000-5 6.374391-6 1.092000-5 6.460389-6 1.185000-5 6.524821-6 1.333521-5 6.562600-6 2.230000-5 6.597266-6 2.359000-5 6.600385-6 2.359000-5 2.194604-5 2.483133-5 2.151710-5 2.635000-5 2.092144-5 2.635000-5 2.297220-5 2.800000-5 2.247163-5 2.985383-5 2.182550-5 3.273407-5 2.068080-5 3.672823-5 1.891151-5 4.073803-5 1.709677-5 4.175000-5 1.665584-5 4.175000-5 1.693553-5 4.365158-5 1.621303-5 4.623810-5 1.532396-5 4.800000-5 1.478910-5 5.011872-5 1.422060-5 5.188000-5 1.380572-5 5.370318-5 1.343093-5 5.580000-5 1.305601-5 5.821032-5 1.269541-5 6.095369-5 1.236283-5 6.400000-5 1.206714-5 6.683439-5 1.184806-5 7.161434-5 1.157468-5 7.585776-5 1.139736-5 8.128305-5 1.123402-5 8.810489-5 1.110515-5 9.500000-5 1.103360-5 1.060000-4 1.100686-5 1.124400-4 1.102588-5 1.124400-4 1.921111-5 1.135500-4 2.053050-5 1.144500-4 2.150758-5 1.155500-4 2.255220-5 1.157900-4 2.275019-5 1.157900-4 2.532126-5 1.170000-4 2.646290-5 1.181000-4 2.730318-5 1.192000-4 2.796602-5 1.205000-4 2.854345-5 1.218000-4 2.891681-5 1.233000-4 2.914136-5 1.251000-4 2.917269-5 1.273503-4 2.895056-5 1.295000-4 2.856011-5 1.333521-4 2.761840-5 1.392500-4 2.593287-5 1.479108-4 2.336063-5 1.531087-4 2.196426-5 1.566751-4 2.114976-5 1.600000-4 2.052432-5 1.627000-4 2.011668-5 1.660000-4 1.973761-5 1.690000-4 1.951000-5 1.720000-4 1.938944-5 1.740000-4 1.936344-5 1.780000-4 1.942554-5 1.820000-4 1.962682-5 1.865000-4 1.998275-5 1.927525-4 2.063258-5 2.018366-4 2.177104-5 2.093500-4 2.276408-5 2.093500-4 3.022569-5 2.281200-4 3.200283-5 2.285800-4 3.204369-5 2.285800-4 3.453682-5 2.454709-4 3.576040-5 2.660725-4 3.697232-5 2.850100-4 3.787095-5 2.850100-4 4.121553-5 3.162278-4 4.225695-5 3.600000-4 4.327874-5 4.120975-4 4.419112-5 4.954502-4 4.518989-5 6.025596-4 4.611924-5 7.762471-4 4.724247-5 8.861400-4 4.782460-5 8.861400-4 7.809842-5 9.054900-4 7.816327-5 9.054900-4 8.308851-5 1.083927-3 8.312025-5 1.170500-3 8.298755-5 1.170500-3 9.033078-5 1.259900-3 9.090332-5 1.259900-3 9.397387-5 1.409900-3 9.518104-5 1.409900-3 9.873495-5 1.850000-3 1.023947-4 2.371374-3 1.059574-4 2.951209-3 1.091870-4 3.650000-3 1.123686-4 4.570882-3 1.157214-4 5.712800-3 1.189931-4 5.712800-3 1.653585-4 6.165300-3 1.659756-4 6.165300-3 1.754839-4 6.513300-3 1.758095-4 6.513300-3 1.840790-4 9.332543-3 1.875700-4 1.412538-2 1.916085-4 2.065380-2 1.953152-4 3.019952-2 1.989718-4 4.045600-2 2.016351-4 4.045600-2 1.998778-4 1.059254-1 2.008899-4 4.265795-1 2.015427-4 1.000000+5 2.016559-4 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.810000-6 0.0 1.157900-4 0.0 1.157900-4 1.459255-9 1.161449-4 1.521340-9 1.180000-4 1.857186-9 1.190000-4 2.028611-9 1.195000-4 2.110910-9 1.205000-4 2.262626-9 1.210000-4 2.333057-9 1.216186-4 2.412295-9 1.222000-4 2.479937-9 1.227000-4 2.532057-9 1.233000-4 2.585834-9 1.238000-4 2.627627-9 1.245000-4 2.673535-9 1.251000-4 2.705139-9 1.260000-4 2.738300-9 1.267000-4 2.757189-9 1.275000-4 2.766628-9 1.285000-4 2.767721-9 1.295000-4 2.757454-9 1.307800-4 2.731848-9 1.322000-4 2.692848-9 1.340000-4 2.630422-9 1.365000-4 2.530754-9 1.392500-4 2.410521-9 1.428894-4 2.238514-9 1.490000-4 1.944400-9 1.531087-4 1.752874-9 1.560000-4 1.629293-9 1.590000-4 1.514624-9 1.610000-4 1.446772-9 1.627000-4 1.394688-9 1.650000-4 1.332770-9 1.670000-4 1.286922-9 1.690000-4 1.248981-9 1.705000-4 1.225452-9 1.720000-4 1.206049-9 1.740000-4 1.185757-9 1.760000-4 1.171842-9 1.780000-4 1.163931-9 1.800000-4 1.161702-9 1.820000-4 1.164664-9 1.842000-4 1.173617-9 1.865000-4 1.188365-9 1.890000-4 1.210055-9 1.915000-4 1.236524-9 1.950000-4 1.280405-9 1.990000-4 1.337919-9 2.041738-4 1.420822-9 2.093500-4 1.508972-9 2.093500-4 3.195334-9 2.285800-4 3.423681-9 2.285800-4 4.036277-9 2.426610-4 4.168417-9 2.620000-4 4.325792-9 2.850100-4 4.481593-9 2.850100-4 5.098695-9 3.162278-4 5.251405-9 3.630781-4 5.423740-9 4.120975-4 5.569670-9 4.786301-4 5.721836-9 5.623413-4 5.878284-9 6.918310-4 6.074799-9 8.709636-4 6.300114-9 8.861400-4 6.315823-9 8.861400-4 7.636046-9 9.054900-4 7.644160-9 9.054900-4 4.084410-7 1.000000-3 3.979098-7 1.050000-3 3.889605-7 1.170500-3 3.865023-7 1.170500-3 4.503528-7 1.202264-3 4.525960-7 1.259900-3 4.549475-7 1.259900-3 5.210913-7 1.305000-3 5.273260-7 1.409900-3 5.378820-7 1.409900-3 5.832899-7 1.584893-3 6.035676-7 1.883649-3 6.340184-7 2.162719-3 6.593961-7 2.600160-3 6.939207-7 3.090295-3 7.264169-7 3.650000-3 7.576901-7 4.315191-3 7.891825-7 5.069907-3 8.188925-7 5.712800-3 8.405490-7 5.712800-3 4.026560-4 5.830000-3 4.043592-4 6.165300-3 4.047713-4 6.165300-3 5.058485-4 6.456542-3 5.072873-4 6.513300-3 5.073176-4 6.513300-3 5.338200-4 8.709636-3 5.390099-4 1.380384-2 5.443229-4 2.454709-2 5.487262-4 4.045600-2 5.516322-4 4.045600-2 2.748622-2 4.570882-2 2.765876-2 6.095369-2 2.794378-2 8.709636-2 2.816200-2 1.462177-1 2.833697-2 3.589219-1 2.843684-2 1.230269+0 2.854593-2 1.000000+5 2.854300-2 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.810000-6 0.0 6.510000-6 1.700000-6 6.510000-6 1.535188-6 6.720000-6 1.711884-6 6.850000-6 1.817870-6 6.850000-6 1.673831-6 7.079458-6 1.833389-6 7.200000-6 1.913156-6 7.420000-6 2.052525-6 7.762471-6 2.254592-6 8.350000-6 2.582501-6 8.810489-6 2.847987-6 9.350000-6 3.194221-6 9.700000-6 3.445166-6 1.000000-5 3.676224-6 1.027000-5 3.895609-6 1.071519-5 4.277203-6 1.127000-5 4.779170-6 1.222000-5 5.680919-6 1.428894-5 7.717446-6 2.359000-5 1.698962-5 2.359000-5 1.643958-6 2.454709-5 2.926818-6 2.483133-5 3.314231-6 2.600160-5 4.936890-6 2.635000-5 5.428558-6 2.635000-5 3.377798-6 2.722701-5 4.508864-6 2.800000-5 5.528372-6 2.951209-5 7.562931-6 3.162278-5 1.048359-5 3.350000-5 1.314551-5 3.801894-5 1.969891-5 4.175000-5 2.509416-5 4.175000-5 2.481447-5 4.518559-5 2.951429-5 4.800000-5 3.321090-5 5.188000-5 3.807428-5 5.688529-5 4.399895-5 6.309573-5 5.094888-5 7.244360-5 6.091076-5 8.912509-5 7.803434-5 1.124400-4 1.014141-4 1.124400-4 9.322889-5 1.150000-4 9.294858-5 1.157900-4 9.303981-5 1.157900-4 9.046728-5 1.175000-4 9.063020-5 1.195000-4 9.138188-5 1.218000-4 9.288076-5 1.245000-4 9.531032-5 1.285000-4 9.973967-5 1.365000-4 1.097607-4 1.540000-4 1.322516-4 1.627000-4 1.425819-4 1.720000-4 1.526094-4 1.842000-4 1.644146-4 2.093500-4 1.865844-4 2.093500-4 1.791211-4 2.285800-4 1.965329-4 2.285800-4 1.940391-4 2.786121-4 2.410263-4 2.850100-4 2.471346-4 2.850100-4 2.437894-4 3.930000-4 3.490995-4 8.128305-4 7.653814-4 8.861400-4 8.383091-4 8.861400-4 8.080339-4 9.054900-4 8.273191-4 9.054900-4 8.219930-4 1.170500-3 1.087126-3 1.170500-3 1.079719-3 1.259900-3 1.168542-3 1.259900-3 1.165405-3 1.409900-3 1.314181-3 1.409900-3 1.310582-3 4.841724-3 4.724337-3 5.712800-3 5.592966-3 5.712800-3 5.144786-3 6.165300-3 5.594553-3 6.165300-3 5.483968-3 6.513300-3 5.830173-3 6.513300-3 5.795401-3 4.045600-2 3.970273-2 4.045600-2 1.276990-2 4.216965-2 1.440646-2 5.128614-2 2.330413-2 6.998420-2 4.174407-2 1.428894-1 1.143569-1 1.000000+5 9.999997+4 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 4.045600-2 4.909283+3 4.103000-2 4.753682+3 4.140000-2 4.645060+3 4.190000-2 4.517480+3 4.270000-2 4.289060+3 4.450000-2 3.872820+3 4.800000-2 3.172580+3 5.432503-2 2.303289+3 6.165950-2 1.643778+3 7.585776-2 9.385501+2 9.500000-2 5.049200+2 1.216186-1 2.531785+2 2.113489-1 5.344640+1 2.570396-1 3.100178+1 2.985383-1 2.058515+1 3.273407-1 1.603427+1 3.758374-1 1.110660+1 4.265795-1 7.994864+0 4.786301-1 5.971710+0 5.370318-1 4.493368+0 5.956621-1 3.503118+0 6.606935-1 2.749685+0 7.328245-1 2.173403+0 8.128305-1 1.729595+0 8.912509-1 1.421034+0 9.772372-1 1.175291+0 1.109175+0 9.138931-1 1.258925+0 7.156741-1 1.412538+0 5.774446-1 1.584893+0 4.691750-1 1.798871+0 3.762972-1 2.044000+0 3.034489-1 2.317395+0 2.474678-1 2.630268+0 2.029660-1 3.019952+0 1.647348-1 3.507519+0 1.323569-1 4.073803+0 1.071518-1 4.786301+0 8.601025-2 5.688529+0 6.848927-2 6.839116+0 5.414546-2 8.317638+0 4.251208-2 1.023293+1 3.316553-2 1.273503+1 2.570097-2 1.640590+1 1.928438-2 2.137962+1 1.438861-2 2.884032+1 1.040659-2 4.168694+1 7.044070-3 6.456542+1 4.467130-3 1.122018+2 2.535309-3 2.238721+2 1.258333-3 4.466836+2 6.276634-4 3.548134+3 7.867919-5 1.000000+5 2.790300-6 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 4.045600-2 1.995100-4 1.000000+5 1.995100-4 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.045600-2 3.312400-2 1.000000+5 3.312400-2 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.045600-2 7.132490-3 1.000000+5 9.999997+4 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 6.513300-3 1.931750+4 6.620000-3 1.867512+4 6.770000-3 1.803588+4 6.918310-3 1.736053+4 7.161434-3 1.644688+4 7.762471-3 1.427084+4 8.317638-3 1.269256+4 8.912509-3 1.120289+4 9.660509-3 9.628599+3 1.040000-2 8.405480+3 1.303167-2 5.408512+3 1.428894-2 4.486942+3 1.698244-2 3.135086+3 1.972423-2 2.272301+3 2.187762-2 1.810544+3 2.570396-2 1.260358+3 3.019952-2 8.688764+2 3.467369-2 6.270504+2 3.981072-2 4.497028+2 4.570882-2 3.205402+2 5.308844-2 2.206209+2 6.237348-2 1.464758+2 7.413102-2 9.373391+1 8.912509-2 5.775842+1 1.083927-1 3.427141+1 1.303167-1 2.085252+1 2.264644-1 4.633936+0 2.884032-1 2.417745+0 3.388442-1 1.578022+0 3.890451-1 1.102176+0 4.415705-1 7.987209-1 5.011872-1 5.831389-1 5.623413-1 4.412860-1 6.309573-1 3.365434-1 6.998420-1 2.654788-1 7.852356-1 2.055409-1 8.709636-1 1.643325-1 9.549926-1 1.356293-1 1.059254+0 1.101811-1 1.202264+0 8.604063-2 1.348963+0 6.921586-2 1.513561+0 5.608020-2 1.717908+0 4.484844-2 1.949845+0 3.613880-2 2.213095+0 2.933363-2 2.511886+0 2.399339-2 2.884032+0 1.942263-2 3.349654+0 1.556904-2 3.890451+0 1.257573-2 4.570882+0 1.007265-2 5.432503+0 8.004665-3 6.456542+0 6.408416-3 7.852356+0 5.020362-3 9.549926+0 3.962059-3 1.216186+1 2.982924-3 1.566751+1 2.235129-3 2.089296+1 1.623993-3 2.851018+1 1.159605-3 4.073803+1 7.943075-4 6.237348+1 5.095595-4 1.059254+2 2.959222-4 2.113489+2 1.467890-4 4.216965+2 7.319921-5 3.349654+3 9.173271-6 1.000000+5 3.071100-7 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 6.513300-3 2.376200-4 1.000000+5 2.376200-4 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 6.513300-3 7.054100-4 1.000000+5 7.054100-4 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 6.513300-3 5.570270-3 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 6.165300-3 3.843965+4 6.280000-3 3.717100+4 6.370000-3 3.601900+4 6.700000-3 3.173600+4 7.852356-3 2.091100+4 8.609938-3 1.628200+4 1.011579-2 1.041200+4 1.202264-2 6.410300+3 1.450000-2 3.723100+3 1.603245-2 2.770300+3 1.927525-2 1.597500+3 2.344229-2 8.802200+2 2.851018-2 4.801400+2 3.467369-2 2.595800+2 4.300000-2 1.308400+2 5.432503-2 6.165100+1 7.328245-2 2.332400+1 1.202264-1 4.652200+0 1.513561-1 2.211500+0 1.819701-1 1.228300+0 2.065380-1 8.240200-1 2.511886-1 4.496991-1 2.884032-1 2.954159-1 3.273407-1 2.024749-1 3.672823-1 1.446014-1 4.120975-1 1.040007-1 4.623810-1 7.537342-2 5.128614-1 5.680298-2 5.688529-1 4.310485-2 6.309573-1 3.294824-2 6.998420-1 2.537460-2 7.762471-1 1.961399-2 8.413951-1 1.615710-2 9.015711-1 1.376855-2 9.660509-1 1.181431-2 1.035142+0 1.021697-2 1.122018+0 8.683888-3 1.230269+0 7.264662-3 1.348963+0 6.123299-3 1.566751+0 4.685896-3 1.798871+0 3.681788-3 2.044000+0 2.967790-3 2.317395+0 2.420194-3 2.630268+0 1.984834-3 3.019952+0 1.610810-3 3.507519+0 1.294195-3 4.073803+0 1.047732-3 4.786301+0 8.410188-4 5.688529+0 6.697023-4 6.839116+0 5.294402-4 8.317638+0 4.156913-4 1.023293+1 3.243003-4 1.288250+1 2.480084-4 1.659587+1 1.861564-4 2.137962+1 1.406960-4 2.884032+1 1.017524-4 4.216965+1 6.805036-5 6.531306+1 4.316441-5 1.148154+2 2.421510-5 2.290868+2 1.202129-5 4.570882+2 5.997058-6 3.630781+3 7.518170-7 1.000000+5 2.728400-8 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 6.165300-3 2.015500-4 1.000000+5 2.015500-4 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 6.165300-3 7.829400-4 1.000000+5 7.829400-4 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 6.165300-3 5.180810-3 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 5.712800-3 8.298927+4 5.830000-3 7.968080+4 5.930000-3 7.649880+4 6.237348-3 6.702301+4 7.328245-3 4.322876+4 8.128305-3 3.227486+4 9.660509-3 1.967259+4 1.122018-2 1.274722+4 1.350000-2 7.332800+3 1.500000-2 5.327680+3 1.800000-2 3.037160+3 2.162719-2 1.706349+3 2.600160-2 9.473661+2 3.126079-2 5.211444+2 3.758374-2 2.843396+2 4.570882-2 1.481576+2 5.623413-2 7.373670+1 7.244360-2 3.117677+1 1.273503-1 4.534401+0 1.610000-1 2.048262+0 1.883649-1 1.211055+0 2.187762-1 7.391532-1 2.511886-1 4.721463-1 2.818383-1 3.271777-1 3.162278-1 2.283539-1 3.507519-1 1.663819-1 3.890451-1 1.220932-1 4.315191-1 9.027607-2 4.731513-1 6.951041-2 5.188000-1 5.388255-2 5.688529-1 4.205746-2 6.165950-1 3.406315-2 6.760830-1 2.696021-2 7.413102-1 2.149271-2 8.413951-1 1.589169-2 9.015711-1 1.355113-2 9.660509-1 1.163310-2 1.035142+0 1.006494-2 1.135011+0 8.364683-3 1.250000+0 6.945518-3 1.380384+0 5.785164-3 1.659587+0 4.169716-3 1.883649+0 3.351839-3 2.113489+0 2.766302-3 2.398833+0 2.256598-3 2.722701+0 1.854151-3 3.162278+0 1.481904-3 3.672823+0 1.193523-3 4.265795+0 9.683724-4 5.011872+0 7.789197-4 5.956621+0 6.214801-4 7.161434+0 4.922587-4 8.709636+0 3.871592-4 1.083927+1 2.984748-4 1.348963+1 2.317211-4 1.737801+1 1.741731-4 2.200000+1 1.343100-4 3.019952+1 9.540268-5 4.466836+1 6.309567-5 7.079458+1 3.912166-5 1.318257+2 2.072041-5 2.630268+2 1.029877-5 1.047129+3 2.571477-6 6.606934+4 4.066742-8 1.000000+5 2.687100-8 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 5.712800-3 1.900800-4 1.000000+5 1.900800-4 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.712800-3 6.169000-4 1.000000+5 6.169000-4 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.712800-3 4.905820-3 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.409900-3 5.701751+4 1.500000-3 5.328540+4 1.698244-3 4.533850+4 1.778279-3 4.248536+4 2.238721-3 3.030009+4 2.426610-3 2.683373+4 2.660725-3 2.314629+4 3.162278-3 1.743405+4 3.548134-3 1.430981+4 4.120975-3 1.100982+4 4.954502-3 7.882289+3 5.688529-3 6.090865+3 6.606934-3 4.579237+3 7.852356-3 3.267753+3 9.332543-3 2.312228+3 1.109175-2 1.622673+3 1.303167-2 1.157395+3 1.531087-2 8.194618+2 1.778279-2 5.907270+2 2.065380-2 4.230883+2 2.426610-2 2.931967+2 2.851018-2 2.016467+2 3.349654-2 1.376515+2 3.935501-2 9.327046+1 4.623810-2 6.274072+1 5.432503-2 4.190437+1 6.456542-2 2.698754+1 7.762471-2 1.674505+1 9.332543-2 1.031299+1 1.161449-1 5.751449+0 1.548817-1 2.642622+0 2.264644-1 9.427669-1 2.786121-1 5.403240-1 3.311311-1 3.420787-1 3.845918-1 2.318469-1 4.365158-1 1.679500-1 4.954502-1 1.225559-1 5.559043-1 9.271166-2 6.237348-1 7.066215-2 6.998420-1 5.428701-2 7.762471-1 4.311732-2 8.709636-1 3.361534-2 9.549926-1 2.773533-2 1.059254+0 2.252781-2 1.202264+0 1.759195-2 1.348963+0 1.415208-2 1.513561+0 1.146627-2 1.717908+0 9.169657-3 1.949845+0 7.389008-3 2.213095+0 5.997876-3 2.511886+0 4.905944-3 2.884032+0 3.971230-3 3.349654+0 3.183286-3 3.890451+0 2.571281-3 4.570882+0 2.059507-3 5.432503+0 1.636669-3 6.456542+0 1.310258-3 7.852356+0 1.026475-3 9.549926+0 8.100821-4 1.216186+1 6.098866-4 1.584893+1 4.511098-4 2.089296+1 3.320346-4 2.851018+1 2.370914-4 4.120975+1 1.604535-4 6.382635+1 1.017322-4 1.096478+2 5.840899-5 2.187762+2 2.898381-5 4.365158+2 1.445581-5 3.467369+3 1.811922-6 1.000000+5 6.279200-8 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.409900-3 1.786300-4 1.000000+5 1.786300-4 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.409900-3 1.604100-6 1.000000+5 1.604100-6 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.409900-3 1.229666-3 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.259900-3 8.872273+4 1.287000-3 8.845382+4 1.305000-3 8.780330+4 1.373000-3 8.388040+4 1.470000-3 7.803180+4 1.531087-3 7.433055+4 1.650000-3 6.751040+4 1.819701-3 5.906937+4 1.970000-3 5.265400+4 2.113489-3 4.725595+4 2.264644-3 4.224447+4 2.630268-3 3.265863+4 2.851018-3 2.825533+4 3.162278-3 2.322234+4 3.507519-3 1.898250+4 3.845918-3 1.574911+4 4.365158-3 1.208982+4 4.800000-3 9.844500+3 5.432503-3 7.477555+3 6.095369-3 5.740698+3 6.800000-3 4.438820+3 7.800000-3 3.184600+3 8.810489-3 2.352324+3 9.885531-3 1.755526+3 1.122018-2 1.263281+3 1.288250-2 8.749308+2 1.479108-2 6.009411+2 1.698244-2 4.094438+2 1.950000-2 2.767920+2 2.238721-2 1.858412+2 2.600160-2 1.197720+2 3.054921-2 7.401987+1 3.630781-2 4.382003+1 4.315191-2 2.574057+1 5.188000-2 1.448587+1 6.531306-2 6.996374+0 9.225714-2 2.324008+0 1.380384-1 6.404926-1 1.717908-1 3.203017-1 2.065380-1 1.800082-1 2.398833-1 1.134354-1 2.754229-1 7.456751-2 3.162278-1 4.938660-2 3.589219-1 3.410993-2 4.027170-1 2.454451-2 4.518559-1 1.780457-2 5.069907-1 1.301499-2 5.623413-1 9.881632-3 6.237348-1 7.555478-3 6.918310-1 5.820509-3 7.673615-1 4.518272-3 8.609938-1 3.430220-3 9.225714-1 2.924932-3 9.772372-1 2.575885-3 1.047129+0 2.228782-3 1.135011+0 1.895403-3 1.244515+0 1.587063-3 1.364583+0 1.339393-3 1.659587+0 9.463293-4 1.883649+0 7.607132-4 2.113489+0 6.278644-4 2.398833+0 5.122348-4 2.722701+0 4.209316-4 3.162278+0 3.364550-4 3.672823+0 2.709760-4 4.265795+0 2.198594-4 5.011872+0 1.768515-4 6.000000+0 1.398000-4 7.244360+0 1.101737-4 8.912509+0 8.549622-5 1.122018+1 6.508103-5 1.412538+1 4.992219-5 1.840772+1 3.709420-5 2.454709+1 2.706671-5 3.388442+1 1.916474-5 5.188000+1 1.225374-5 8.413951+1 7.438511-6 1.678804+2 3.681009-6 3.349654+2 1.832954-6 1.333521+3 4.582929-7 1.000000+5 6.101000-9 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.259900-3 1.474900-4 1.000000+5 1.474900-4 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.259900-3 1.673900-6 1.000000+5 1.673900-6 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.259900-3 1.110736-3 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.170500-3 2.281140+5 1.185000-3 2.274853+5 1.216186-3 2.219420+5 1.285000-3 2.085972+5 1.380384-3 1.903966+5 1.450000-3 1.776896+5 1.584893-3 1.557409+5 1.737801-3 1.351469+5 1.900000-3 1.169540+5 2.070000-3 1.009696+5 2.371374-3 7.885462+4 2.600160-3 6.637300+4 2.851018-3 5.536708+4 3.235937-3 4.283542+4 3.548134-3 3.528949+4 4.027170-3 2.682157+4 4.466836-3 2.126863+4 5.011872-3 1.632907+4 5.623413-3 1.243697+4 6.300000-3 9.444960+3 7.161434-3 6.865829+3 8.035261-3 5.117720+3 9.015711-3 3.791134+3 1.023293-2 2.705366+3 1.174898-2 1.856311+3 1.350000-2 1.259976+3 1.548817-2 8.516439+2 1.778279-2 5.697439+2 2.041738-2 3.781770+2 2.344229-2 2.491350+2 2.691535-2 1.629907+2 3.126079-2 1.021601+2 3.630781-2 6.357214+1 4.265795-2 3.786531+1 5.069907-2 2.156536+1 6.165950-2 1.130305+1 7.852356-2 5.042126+0 1.445440-1 6.470699-1 1.757924-1 3.371653-1 2.089296-1 1.911206-1 2.398833-1 1.221638-1 2.722701-1 8.163477-2 3.054921-1 5.698786-2 3.427678-1 4.009449-2 3.801894-1 2.941855-2 4.216965-1 2.173057-2 4.623810-1 1.670446-2 5.069907-1 1.292742-2 5.559043-1 1.007908-2 6.095369-1 7.915636-3 6.683439-1 6.263624-3 7.328245-1 4.992316-3 8.317638-1 3.690754-3 9.015711-1 3.063403-3 9.660509-1 2.629836-3 1.035142+0 2.275167-3 1.135011+0 1.890798-3 1.250000+0 1.570099-3 1.380384+0 1.307768-3 1.659587+0 9.425749-4 1.883649+0 7.577088-4 2.137962+0 6.136958-4 2.426610+0 5.009628-4 2.786121+0 4.047260-4 3.235937+0 3.238492-4 3.758374+0 2.611308-4 4.365158+0 2.121042-4 5.188000+0 1.682088-4 6.165950+0 1.344077-4 7.413102+0 1.066036-4 9.015711+0 8.395286-5 1.135011+1 6.393173-5 1.428894+1 4.905943-5 1.862087+1 3.646394-5 2.511886+1 2.628782-5 3.467369+1 1.862147-5 5.308844+1 1.191116-5 8.709636+1 7.148707-6 1.737801+2 3.538932-6 3.467369+2 1.762643-6 1.380384+3 4.407779-7 1.000000+5 6.074400-9 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.170500-3 1.412600-4 1.000000+5 1.412600-4 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.170500-3 8.931900-7 1.000000+5 8.931900-7 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.170500-3 1.028347-3 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 9.054900-4 9.209900+5 9.660509-4 8.084361+5 1.000000-3 7.517500+5 1.050000-3 6.688200+5 1.190000-3 5.008040+5 1.288250-3 4.136640+5 1.400000-3 3.359908+5 1.531087-3 2.665055+5 1.659587-3 2.149990+5 1.883649-3 1.520581+5 2.041738-3 1.210433+5 2.371374-3 7.846735+4 2.600160-3 5.964500+4 2.951209-3 4.064352+4 3.273407-3 2.948285+4 3.715352-3 1.977653+4 4.216965-3 1.314371+4 4.677351-3 9.354888+3 5.308844-3 6.126104+3 6.025596-3 3.980207+3 6.839116-3 2.567094+3 7.762471-3 1.643703+3 8.912509-3 1.002650+3 1.011579-2 6.327366+2 1.150000-2 3.942628+2 1.303167-2 2.469941+2 1.479108-2 1.528416+2 1.698244-2 8.992846+1 1.972423-2 5.024087+1 2.317395-2 2.663578+1 2.722701-2 1.402111+1 3.273407-2 6.684772+0 4.073803-2 2.750496+0 8.317638-2 1.478534-1 1.035142-1 6.073984-2 1.244515-1 2.891647-2 1.462177-1 1.521470-2 1.698244-1 8.445131-3 1.949845-1 4.942166-3 2.213095-1 3.044588-3 2.483133-1 1.973400-3 2.754229-1 1.344464-3 3.019952-1 9.614935-4 3.349654-1 6.647915-4 3.715352-1 4.629353-4 4.120975-1 3.246182-4 4.570882-1 2.292064-4 5.069907-1 1.630518-4 5.559043-1 1.212356-4 6.025596-1 9.411420-5 6.531306-1 7.355034-5 7.079458-1 5.786991-5 7.673615-1 4.585755-5 8.511380-1 3.421380-5 9.015711-1 2.925465-5 9.440609-1 2.595736-5 9.885531-1 2.317030-5 1.035142+0 2.082435-5 1.083927+0 1.884303-5 1.148154+0 1.676453-5 1.216186+0 1.502385-5 1.318257+0 1.298401-5 1.531087+0 1.003129-5 1.819701+0 7.419281-6 2.044000+0 6.096003-6 2.317395+0 4.971406-6 2.630268+0 4.077006-6 3.019952+0 3.308560-6 3.507519+0 2.658313-6 4.073803+0 2.152100-6 4.786301+0 1.727458-6 5.688529+0 1.375580-6 6.839116+0 1.087521-6 8.317638+0 8.538357-7 1.023293+1 6.661219-7 1.273503+1 5.162013-7 1.640590+1 3.873216-7 2.137962+1 2.889871-7 2.884032+1 2.090055-7 4.168694+1 1.414812-7 6.456542+1 8.972089-8 1.122018+2 5.091935-8 2.238721+2 2.527312-8 4.466836+2 1.260662-8 3.548134+3 1.580223-9 1.000000+5 5.60410-11 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 9.054900-4 9.231800-5 1.000000+5 9.231800-5 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 9.054900-4 1.159500-6 1.000000+5 1.159500-6 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 9.054900-4 8.120125-4 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 8.861400-4 1.279438+6 1.047129-3 9.849069+5 1.161449-3 7.732494+5 1.258925-3 6.358031+5 1.364583-3 5.191439+5 1.479108-3 4.209388+5 1.621810-3 3.291165+5 1.850000-3 2.291136+5 2.000000-3 1.834686+5 2.317395-3 1.194469+5 2.540973-3 9.066576+4 2.900000-3 6.059040+4 3.273407-3 4.149937+4 3.650000-3 2.935080+4 4.168694-3 1.906155+4 4.677351-3 1.301218+4 5.248075-3 8.825283+3 6.025596-3 5.489187+3 6.918310-3 3.382659+3 7.852356-3 2.153668+3 8.810489-3 1.419823+3 9.885531-3 9.306546+2 1.122018-2 5.808689+2 1.273503-2 3.600366+2 1.450000-2 2.189736+2 1.650000-2 1.325838+2 1.883649-2 7.877865+1 2.187762-2 4.342488+1 2.600160-2 2.165388+1 3.054921-2 1.122686+1 3.715352-2 5.015986+0 4.623810-2 2.021155+0 8.709636-2 1.430653-1 1.059254-1 6.349960-2 1.244515-1 3.274697-2 1.445440-1 1.783649-2 1.659587-1 1.025605-2 1.862087-1 6.511766-3 2.000000-1 4.930266-3 2.264644-1 3.108985-3 2.630268-1 1.788225-3 2.851018-1 1.320792-3 2.985383-1 1.107321-3 3.273407-1 7.974172-4 3.589219-1 5.783217-4 3.890451-1 4.394364-4 4.216965-1 3.361645-4 4.570882-1 2.589933-4 4.954502-1 2.010209-4 5.370318-1 1.573080-4 5.821032-1 1.240536-4 6.237348-1 1.018884-4 6.760830-1 8.158252-5 7.413102-1 6.375662-5 8.035261-1 5.162077-5 8.609938-1 4.287793-5 9.120108-1 3.694729-5 9.549926-1 3.297165-5 1.000000+0 2.959481-5 1.059254+0 2.607957-5 1.122018+0 2.315242-5 1.188502+0 2.068299-5 1.288250+0 1.780823-5 1.412538+0 1.513441-5 1.531087+0 1.316697-5 1.798871+0 9.932880-6 2.018366+0 8.171673-6 2.290868+0 6.647157-6 2.600160+0 5.447807-6 3.000000+0 4.386400-6 3.467369+0 3.547941-6 4.027170+0 2.870723-6 4.731513+0 2.303083-6 5.623413+0 1.833015-6 6.760830+0 1.448385-6 8.222427+0 1.136751-6 1.000000+1 8.985900-7 1.258925+1 6.866647-7 1.621810+1 5.150571-7 2.113489+1 3.841639-7 2.851018+1 2.777755-7 4.120975+1 1.879872-7 6.382635+1 1.191897-7 1.109175+2 6.763464-8 2.213095+2 3.356406-8 4.415704+2 1.674190-8 3.507519+3 2.098527-9 1.000000+5 7.35680-11 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 8.861400-4 9.012000-5 1.000000+5 9.012000-5 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 8.861400-4 8.160300-9 1.000000+5 8.160300-9 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 8.861400-4 7.960118-4 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 2.850100-4 1.320054+5 3.019952-4 1.286262+5 3.100000-4 1.268022+5 3.162278-4 1.251515+5 3.930000-4 1.046476+5 4.168694-4 9.903460+4 4.677351-4 8.758846+4 5.188000-4 7.807967+4 5.623413-4 7.085640+4 6.531306-4 5.849036+4 7.161434-4 5.168539+4 8.222426-4 4.250961+4 9.225714-4 3.590798+4 1.083927-3 2.807265+4 1.230269-3 2.297334+4 1.428894-3 1.800847+4 1.698244-3 1.348443+4 2.041738-3 9.816101+3 2.454709-3 7.089982+3 2.985383-3 4.977383+3 3.589219-3 3.543885+3 4.415704-3 2.399978+3 5.370318-3 1.648232+3 6.456542-3 1.148751+3 7.673615-3 8.133037+2 9.120108-3 5.717665+2 1.096478-2 3.896218+2 1.303167-2 2.699531+2 1.548817-2 1.856832+2 1.840772-2 1.267700+2 2.162719-2 8.814993+1 2.540973-2 6.086574+1 3.000000-2 4.125202+1 3.548134-2 2.762593+1 4.216965-2 1.814198+1 5.011872-2 1.182055+1 6.000000-2 7.499458+0 7.161434-2 4.758461+0 8.413951-2 3.124355+0 1.035142-1 1.803758+0 1.348963-1 8.861482-1 2.344229-1 1.981103-1 2.884032-1 1.137234-1 3.427678-1 7.211983-2 3.935501-1 5.044352-2 4.466836-1 3.659701-2 5.069907-1 2.675116-2 5.688529-1 2.026770-2 6.309573-1 1.589015-2 7.079458-1 1.221818-2 7.852356-1 9.711645-3 8.709636-1 7.764229-3 9.549926-1 6.405798-3 1.059254+0 5.202863-3 1.202264+0 4.062750-3 1.348963+0 3.268465-3 1.513561+0 2.648384-3 1.717908+0 2.118007-3 1.949845+0 1.706647-3 2.213095+0 1.385220-3 2.511886+0 1.133039-3 2.884032+0 9.172185-4 3.349654+0 7.352457-4 3.890451+0 5.938884-4 4.570882+0 4.756746-4 5.432503+0 3.780152-4 6.456542+0 3.026356-4 7.852356+0 2.370838-4 9.549926+0 1.870986-4 1.216186+1 1.408613-4 1.566751+1 1.055507-4 2.089296+1 7.668970-5 2.818383+1 5.544107-5 4.027170+1 3.796760-5 6.165950+1 2.435162-5 1.035142+2 1.430655-5 2.065380+2 7.095187-6 4.120975+2 3.537653-6 3.273407+3 4.433005-7 1.000000+5 1.450300-8 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 2.850100-4 8.473300-5 1.000000+5 8.473300-5 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.850100-4 1.312800-8 1.000000+5 1.312800-8 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.850100-4 2.002639-4 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 2.285800-4 1.069234+5 3.548134-4 9.566008+4 3.850000-4 9.273560+4 4.120975-4 8.981057+4 4.415704-4 8.633797+4 4.731513-4 8.242488+4 5.150000-4 7.732120+4 5.559043-4 7.250753+4 6.025596-4 6.722661+4 6.606934-4 6.119822+4 7.161434-4 5.602308+4 7.852356-4 5.026137+4 8.709636-4 4.415660+4 9.549926-4 3.907068+4 1.071519-3 3.325478+4 1.190000-3 2.848800+4 1.333521-3 2.390521+4 1.500000-3 1.977312+4 1.678804-3 1.637268+4 1.905461-3 1.313522+4 2.162719-3 1.044879+4 2.426610-3 8.428297+3 2.722701-3 6.755466+3 3.090295-3 5.257766+3 3.507519-3 4.061600+3 3.981072-3 3.114065+3 4.518559-3 2.369729+3 5.069907-3 1.836461+3 5.688529-3 1.414124+3 6.400000-3 1.075010+3 7.244360-3 7.999439+2 8.222426-3 5.870282+2 9.332543-3 4.275017+2 1.059254-2 3.091443+2 1.202264-2 2.220139+2 1.380384-2 1.535264+2 1.584893-2 1.053363+2 1.819701-2 7.172542+1 2.089296-2 4.848112+1 2.426610-2 3.146401+1 2.818383-2 2.026379+1 3.273407-2 1.295606+1 3.845918-2 7.944972+0 4.623810-2 4.506878+0 5.495409-2 2.630103+0 6.918310-2 1.272059+0 1.412538-1 1.310299-1 1.757924-1 6.571255-2 2.113489-1 3.701808-2 2.454709-1 2.337509-2 2.818383-1 1.539617-2 3.198895-1 1.057119-2 3.630781-1 7.311653-3 4.073803-1 5.266266-3 4.570882-1 3.820826-3 5.069907-1 2.881880-3 5.623413-1 2.188655-3 6.237348-1 1.674052-3 6.918310-1 1.289968-3 7.673615-1 1.001555-3 8.709636-1 7.401497-4 9.332543-1 6.318441-4 9.885531-1 5.571036-4 1.071519+0 4.714387-4 1.161449+0 4.016611-4 1.258925+0 3.443029-4 1.396368+0 2.848244-4 1.698244+0 2.014647-4 1.927525+0 1.621458-4 2.162719+0 1.340019-4 2.454709+0 1.094618-4 2.818383+0 8.849184-5 3.273407+0 7.085036-5 3.801894+0 5.716247-5 4.415704+0 4.645502-5 5.248075+0 3.685981-5 6.237348+0 2.946695-5 7.585776+0 2.305248-5 9.225714+0 1.816982-5 1.161449+1 1.384734-5 1.479108+1 1.049605-5 1.972423+1 7.611790-6 2.660725+1 5.496893-6 3.672823+1 3.898381-6 5.623413+1 2.496353-6 9.332543+1 1.481953-6 1.862087+2 7.342010-7 3.715352+2 3.658464-7 1.479108+3 9.151353-8 1.000000+5 1.351500-9 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 2.285800-4 7.345100-5 1.000000+5 7.345100-5 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.285800-4 1.359800-8 1.000000+5 1.359800-8 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.285800-4 1.551154-4 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 2.093500-4 3.414000+5 2.350000-4 3.288041+5 2.620000-4 3.151311+5 2.884032-4 3.014462+5 3.126079-4 2.893288+5 3.388442-4 2.760115+5 3.715352-4 2.592170+5 4.000000-4 2.447596+5 4.365158-4 2.267392+5 4.786301-4 2.076350+5 5.188000-4 1.909678+5 5.688529-4 1.721905+5 6.309573-4 1.521106+5 6.918310-4 1.352312+5 7.673615-4 1.176421+5 8.511380-4 1.015911+5 9.549926-4 8.562313+4 1.071519-3 7.158214+4 1.202264-3 5.939446+4 1.350000-3 4.885560+4 1.513561-3 4.000780+4 1.698244-3 3.250253+4 1.927525-3 2.566708+4 2.213095-3 1.966601+4 2.540973-3 1.493251+4 2.917427-3 1.124011+4 3.349654-3 8.386807+3 3.801894-3 6.363995+3 4.315191-3 4.793511+3 4.841724-3 3.681054+3 5.500000-3 2.727832+3 6.280670-3 1.980024+3 7.079458-3 1.471951+3 8.035261-3 1.067797+3 9.120108-3 7.686639+2 1.035142-2 5.492299+2 1.174898-2 3.896920+2 1.333521-2 2.745783+2 1.513561-2 1.921395+2 1.737801-2 1.291400+2 2.000000-2 8.552040+1 2.290868-2 5.699717+1 2.630268-2 3.745011+1 3.054921-2 2.357717+1 3.548134-2 1.473028+1 4.168694-2 8.807958+0 4.954502-2 5.036496+0 6.000000-2 2.687620+0 7.328245-2 1.383503+0 1.023293-1 4.520495-1 1.412538-1 1.530528-1 1.717908-1 7.979658-2 2.041738-1 4.523698-2 2.344229-1 2.890065-2 2.660725-1 1.929704-2 3.000000-1 1.325415-2 3.349654-1 9.453094-3 3.715352-1 6.927248-3 4.120975-1 5.113114-3 4.570882-1 3.803688-3 5.011872-1 2.944090-3 5.495409-1 2.294169-3 6.025596-1 1.800126-3 6.606935-1 1.422933-3 7.244360-1 1.132858-3 7.943282-1 9.083566-4 8.709636-1 7.313704-4 9.332543-1 6.257617-4 1.000000+0 5.393204-4 1.096478+0 4.469299-4 1.202264+0 3.731946-4 1.318257+0 3.139391-4 1.479108+0 2.550542-4 1.717908+0 1.958440-4 1.949845+0 1.577449-4 2.213095+0 1.280678-4 2.511886+0 1.047559-4 2.884032+0 8.478933-5 3.349654+0 6.796366-5 3.890451+0 5.489687-5 4.570882+0 4.396958-5 5.432503+0 3.494206-5 6.456542+0 2.797409-5 7.852356+0 2.191485-5 9.549926+0 1.729544-5 1.216186+1 1.302070-5 1.584893+1 9.631308-6 2.089296+1 7.088943-6 2.818383+1 5.124864-6 4.027170+1 3.509518-6 6.237348+1 2.224299-6 1.071519+2 1.276644-6 2.137962+2 6.333572-7 4.265795+2 3.158544-7 3.388442+3 3.958535-8 1.000000+5 1.340600-9 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 2.093500-4 5.951600-5 1.000000+5 5.951600-5 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.093500-4 9.815100-9 1.000000+5 9.815100-9 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.093500-4 1.498242-4 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.157900-4 5.683840+5 1.164000-4 6.353840+5 1.170000-4 7.044440+5 1.175000-4 7.631000+5 1.180000-4 8.220840+5 1.185000-4 8.804360+5 1.190000-4 9.377080+5 1.195000-4 9.932000+5 1.200000-4 1.045908+6 1.205000-4 1.095176+6 1.210000-4 1.140364+6 1.216186-4 1.189877+6 1.222000-4 1.229408+6 1.227000-4 1.257744+6 1.232000-4 1.280648+6 1.238000-4 1.301012+6 1.245000-4 1.315380+6 1.251000-4 1.320080+6 1.258925-4 1.316675+6 1.267000-4 1.303572+6 1.275000-4 1.282708+6 1.285000-4 1.248248+6 1.295000-4 1.207332+6 1.307800-4 1.149122+6 1.322000-4 1.081128+6 1.340000-4 9.946680+5 1.365000-4 8.801160+5 1.392500-4 7.655624+5 1.415000-4 6.814760+5 1.450000-4 5.673920+5 1.531087-4 3.735814+5 1.560000-4 3.249904+5 1.590000-4 2.839700+5 1.610000-4 2.612844+5 1.627000-4 2.445896+5 1.650000-4 2.254124+5 1.670000-4 2.115600+5 1.690000-4 2.000408+5 1.705000-4 1.927672+5 1.720000-4 1.865524+5 1.740000-4 1.797576+5 1.760000-4 1.744904+5 1.780000-4 1.705772+5 1.800000-4 1.678628+5 1.820000-4 1.662080+5 1.842000-4 1.654620+5 1.865000-4 1.657284+5 1.890000-4 1.670560+5 1.915000-4 1.692972+5 1.950000-4 1.736880+5 1.990000-4 1.800828+5 2.041738-4 1.899034+5 2.238721-4 2.337685+5 2.317395-4 2.512932+5 2.400000-4 2.685620+5 2.483133-4 2.843649+5 2.570396-4 2.990128+5 2.660725-4 3.120217+5 2.754229-4 3.232670+5 2.851018-4 3.327100+5 2.951209-4 3.403460+5 3.054921-4 3.461733+5 3.162278-4 3.501908+5 3.280000-4 3.524968+5 3.430000-4 3.527328+5 3.600000-4 3.501176+5 3.780000-4 3.449364+5 3.981072-4 3.368050+5 4.200000-4 3.259964+5 4.430000-4 3.133400+5 4.700000-4 2.976276+5 4.954502-4 2.824716+5 5.248075-4 2.651082+5 5.559043-4 2.473558+5 5.900000-4 2.288984+5 6.309573-4 2.082794+5 6.760830-4 1.877223+5 7.244360-4 1.680692+5 7.852356-4 1.465642+5 8.500000-4 1.271364+5 9.225714-4 1.089076+5 1.000000-3 9.288040+4 1.096478-3 7.679970+4 1.190000-3 6.440800+4 1.303167-3 5.262173+4 1.445440-3 4.141621+4 1.584893-3 3.322961+4 1.737801-3 2.649318+4 1.927525-3 2.037951+4 2.162719-3 1.508959+4 2.426610-3 1.107179+4 2.720000-3 8.074960+3 3.019952-3 6.001837+3 3.349654-3 4.442670+3 3.715352-3 3.266334+3 4.120975-3 2.385691+3 4.570882-3 1.730776+3 5.128614-3 1.202419+3 5.754399-3 8.287957+2 6.456542-3 5.668422+2 7.244360-3 3.847870+2 8.128305-3 2.593250+2 9.225714-3 1.666754+2 1.047129-2 1.063257+2 1.188502-2 6.731459+1 1.348963-2 4.230872+1 1.531087-2 2.640766+1 1.757924-2 1.567198+1 2.018366-2 9.232659+0 2.344229-2 5.163488+0 2.754229-2 2.739694+0 3.273407-2 1.378507+0 4.000000-2 6.160040-1 5.128614-2 2.249064-1 8.709636-2 2.602123-2 1.083927-1 1.074568-2 1.288250-1 5.381092-3 1.513561-1 2.842250-3 1.737801-1 1.655781-3 1.995262-1 9.717344-4 2.264644-1 6.003878-4 2.540973-1 3.902572-4 2.851018-1 2.555755-4 3.126079-1 1.833137-4 3.467369-1 1.270213-4 3.845918-1 8.862184-5 4.315191-1 5.985604-5 4.731513-1 4.401863-5 5.188000-1 3.259912-5 5.688529-1 2.432505-5 6.165950-1 1.894891-5 6.760830-1 1.435426-5 7.413102-1 1.095935-5 8.035261-1 8.704625-6 8.609938-1 7.130787-6 9.120108-1 6.081582-6 9.549926-1 5.387610-6 1.000000+0 4.804800-6 1.047129+0 4.318015-6 1.096478+0 3.909098-6 1.148154+0 3.561054-6 1.216186+0 3.191865-6 1.318257+0 2.761065-6 1.513561+0 2.181778-6 1.840772+0 1.550353-6 2.044000+0 1.299200-6 2.317395+0 1.059576-6 2.630268+0 8.689345-7 3.019952+0 7.051208-7 3.507519+0 5.665360-7 4.073803+0 4.586547-7 4.786301+0 3.681645-7 5.688529+0 2.931693-7 6.839116+0 2.317644-7 8.317638+0 1.819688-7 1.023293+1 1.419631-7 1.288250+1 1.085647-7 1.659587+1 8.149158-8 2.137962+1 6.158875-8 2.884032+1 4.454362-8 4.168694+1 3.015178-8 6.456542+1 1.912149-8 1.122018+2 1.085236-8 2.238721+2 5.386100-9 4.466836+2 2.686704-9 3.548134+3 3.36786-10 1.000000+5 1.19440-11 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.157900-4 4.048200-5 1.000000+5 4.048200-5 1 58000 7 7 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.157900-4 1.006400-8 1.000000+5 1.006400-8 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.157900-4 7.529794-5 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.124400-4 8.560020+5 1.131000-4 9.741540+5 1.135500-4 1.057590+6 1.140000-4 1.141434+6 1.144500-4 1.224870+6 1.150000-4 1.325472+6 1.155500-4 1.422811+6 1.161449-4 1.523233+6 1.166500-4 1.603350+6 1.170000-4 1.655484+6 1.175000-4 1.724490+6 1.181000-4 1.797838+6 1.187000-4 1.859892+6 1.192000-4 1.902492+6 1.198600-4 1.945827+6 1.205000-4 1.973994+6 1.212000-4 1.989996+6 1.218000-4 1.992294+6 1.225000-4 1.983138+6 1.233000-4 1.959246+6 1.243000-4 1.913412+6 1.250000-4 1.873248+6 1.260000-4 1.807818+6 1.273503-4 1.710280+6 1.290000-4 1.585548+6 1.307000-4 1.458096+6 1.330000-4 1.294824+6 1.350000-4 1.164384+6 1.380384-4 9.880208+5 1.415000-4 8.177880+5 1.490000-4 5.475324+5 1.520000-4 4.715760+5 1.540000-4 4.294434+5 1.560000-4 3.933540+5 1.580000-4 3.626730+5 1.600000-4 3.368280+5 1.620000-4 3.152724+5 1.640590-4 2.970488+5 1.660000-4 2.831370+5 1.680000-4 2.717292+5 1.698244-4 2.636237+5 1.720000-4 2.564934+5 1.740000-4 2.520852+5 1.760000-4 2.494812+5 1.780000-4 2.484630+5 1.805000-4 2.491224+5 1.829800-4 2.515834+5 1.850000-4 2.547126+5 1.883649-4 2.617656+5 1.915000-4 2.699832+5 1.950000-4 2.805642+5 2.018366-4 3.039983+5 2.150000-4 3.531804+5 2.220000-4 3.791082+5 2.300000-4 4.072356+5 2.380000-4 4.330380+5 2.454709-4 4.546186+5 2.540973-4 4.763269+5 2.630268-4 4.952651+5 2.730000-4 5.125224+5 2.830000-4 5.261202+5 2.917427-4 5.352342+5 3.019952-4 5.428699+5 3.150000-4 5.482680+5 3.280000-4 5.496012+5 3.430000-4 5.472090+5 3.600000-4 5.405790+5 3.780000-4 5.301684+5 3.981072-4 5.154218+5 4.200000-4 4.967256+5 4.430000-4 4.755066+5 4.700000-4 4.498890+5 5.000000-4 4.213176+5 5.308844-4 3.925191+5 5.688529-4 3.590928+5 6.100000-4 3.257106+5 6.531306-4 2.938625+5 7.079458-4 2.582218+5 7.585776-4 2.295586+5 8.222426-4 1.986196+5 8.912509-4 1.706196+5 9.700000-4 1.442832+5 1.047129-3 1.232561+5 1.150000-3 1.008090+5 1.244515-3 8.456543+4 1.364583-3 6.843718+4 1.513561-3 5.346934+4 1.650000-3 4.325556+4 1.819701-3 3.379044+4 2.018366-3 2.581940+4 2.264644-3 1.897833+4 2.540973-3 1.382562+4 2.851018-3 9.983240+3 3.162278-3 7.393320+3 3.507519-3 5.438505+3 3.890451-3 3.972464+3 4.315191-3 2.882233+3 4.786301-3 2.077450+3 5.308844-3 1.487458+3 5.956621-3 1.018421+3 6.683439-3 6.918987+2 7.498942-3 4.665246+2 8.413951-3 3.123384+2 9.440609-3 2.076594+2 1.071519-2 1.315081+2 1.216186-2 8.266444+1 1.380384-2 5.158141+1 1.566751-2 3.195250+1 1.798871-2 1.879813+1 2.065380-2 1.097381+1 2.398833-2 6.074755+0 2.786121-2 3.337572+0 3.273407-2 1.738310+0 3.935501-2 8.183536-1 4.897788-2 3.316738-1 6.095369-2 1.335473-1 8.709636-2 3.018347-2 1.059254-1 1.344072-2 1.244515-1 6.951204-3 1.445440-1 3.796086-3 1.659587-1 2.188324-3 1.883649-1 1.330945-3 2.113489-1 8.530957-4 2.344229-1 5.755089-4 2.600160-1 3.910468-4 2.851018-1 2.792105-4 3.126079-1 2.007295-4 3.427678-1 1.453856-4 3.715352-1 1.103452-4 4.027170-1 8.428983-5 4.365158-1 6.484207-5 4.731513-1 5.021338-5 5.128614-1 3.914476-5 5.559043-1 3.072083-5 6.025596-1 2.427226-5 6.531306-1 1.930882-5 7.079458-1 1.546532-5 7.673615-1 1.247162-5 8.609938-1 9.237939-6 9.120108-1 8.000728-6 9.660509-1 6.978048-6 1.011579+0 6.292535-6 1.071519+0 5.566689-6 1.148154+0 4.841771-6 1.230269+0 4.240728-6 1.333521+0 3.658929-6 1.778279+0 2.208864-6 2.000000+0 1.809200-6 2.264644+0 1.476558-6 2.570396+0 1.209348-6 2.951209+0 9.801653-7 3.427678+0 7.865997-7 4.000000+0 6.319000-7 4.677351+0 5.100422-7 5.559043+0 4.057385-7 6.683439+0 3.204442-7 8.128305+0 2.513802-7 1.000000+1 1.959400-7 1.258925+1 1.497309-7 1.621810+1 1.123129-7 2.113489+1 8.376824-8 2.851018+1 6.057188-8 4.120975+1 4.099131-8 6.382635+1 2.599071-8 1.096478+2 1.492266-8 2.187762+2 7.404601-9 4.365158+2 3.693097-9 3.467369+3 4.62893-10 1.000000+5 1.60420-11 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.124400-4 3.787400-5 1.000000+5 3.787400-5 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.124400-4 7.456600-5 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 6.850000-6 4.572566+4 7.000000-6 4.679786+4 7.200000-6 4.853349+4 7.420000-6 5.080158+4 7.673615-6 5.381076+4 8.000000-6 5.828607+4 8.350000-6 6.377675+4 8.810489-6 7.196935+4 9.549926-6 8.710235+4 1.150000-5 1.364400+5 1.273503-5 1.733655+5 1.396368-5 2.137704+5 1.531087-5 2.619169+5 1.659587-5 3.110095+5 1.800000-5 3.674958+5 1.927525-5 4.204283+5 2.065380-5 4.782403+5 2.190000-5 5.302269+5 2.317395-5 5.823212+5 2.454709-5 6.360866+5 2.600160-5 6.895033+5 2.754229-5 7.418140+5 2.917427-5 7.919038+5 3.090295-5 8.387726+5 3.273407-5 8.823193+5 3.467369-5 9.223060+5 3.672823-5 9.582623+5 3.935501-5 9.965067+5 4.220000-5 1.029112+6 4.518559-5 1.053987+6 4.800000-5 1.069466+6 5.069907-5 1.076788+6 5.370318-5 1.077328+6 5.688529-5 1.070203+6 6.025596-5 1.055359+6 6.400000-5 1.033397+6 6.839116-5 1.002317+6 7.413102-5 9.589979+5 8.128305-5 9.038591+5 8.709636-5 8.594938+5 9.332543-5 8.127427+5 1.000000-4 7.630544+5 1.071519-4 7.119066+5 1.161449-4 6.512531+5 1.260000-4 5.906067+5 1.350000-4 5.405152+5 1.450000-4 4.899961+5 1.566751-4 4.367011+5 1.678804-4 3.910971+5 1.778279-4 3.551486+5 1.927525-4 3.080693+5 2.089296-4 2.649089+5 2.238721-4 2.310983+5 2.398833-4 2.001801+5 2.570396-4 1.722343+5 2.754229-4 1.472460+5 2.985383-4 1.217068+5 3.235937-4 9.986519+4 3.507519-4 8.134671+4 3.801894-4 6.580373+4 4.120975-4 5.288542+4 4.518559-4 4.088917+4 4.954502-4 3.137305+4 5.432503-4 2.390029+4 6.000000-4 1.768586+4 6.606934-4 1.311369+4 7.328245-4 9.433772+3 8.128305-4 6.735134+3 9.015711-4 4.775181+3 1.000000-3 3.363043+3 1.122018-3 2.260996+3 1.258925-3 1.508351+3 1.412538-3 9.986366+2 1.584893-3 6.563357+2 1.778279-3 4.282327+2 2.000000-3 2.748498+2 2.238721-3 1.782577+2 2.454709-3 1.243220+2 2.754229-3 7.867971+1 3.162278-3 4.507131+1 3.548134-3 2.814740+1 4.000000-3 1.711039+1 4.466836-3 1.073259+1 5.011872-3 6.550820+0 5.623413-3 3.970012+0 6.309573-3 2.387936+0 7.244360-3 1.287049+0 8.511380-3 6.204995-1 9.885531-3 3.129334-1 1.148154-2 1.568061-1 1.318257-2 8.229284-2 1.500000-2 4.473099-2 1.717908-2 2.335707-2 2.000000-2 1.118881-2 2.398833-2 4.605092-3 2.951209-2 1.660502-3 3.890451-2 4.223348-4 6.165950-2 4.280679-5 7.673615-2 1.452811-5 9.120108-2 6.230642-6 1.047129-1 3.186664-6 1.188502-1 1.735404-6 1.348963-1 9.521257-7 1.513561-1 5.557156-7 1.698244-1 3.269875-7 1.905461-1 1.938520-7 2.162719-1 1.098953-7 2.398833-1 6.957748-8 2.630268-1 4.668456-8 2.851018-1 3.314346-8 3.090295-1 2.368437-8 3.349654-1 1.704313-8 3.672823-1 1.178557-8 4.216965-1 6.847963-9 4.623810-1 4.799172-9 5.011872-1 3.539827-9 5.432503-1 2.630235-9 5.888437-1 1.969696-9 6.237348-1 1.612137-9 6.683439-1 1.275972-9 7.244360-1 9.78561-10 8.035261-1 7.02198-10 8.511380-1 5.80255-10 8.912509-1 5.01098-10 9.225714-1 4.51013-10 9.549926-1 4.07928-10 9.885531-1 3.71067-10 1.023293+0 3.39729-10 1.059254+0 3.12923-10 1.096478+0 2.89778-10 1.148154+0 2.63462-10 1.202264+0 2.41208-10 1.288250+0 2.13235-10 1.380384+0 1.89869-10 1.513561+0 1.63522-10 1.883649+0 1.11705-10 2.065380+0 9.56941-11 2.344229+0 7.79638-11 2.660725+0 6.39753-11 3.054921+0 5.19408-11 3.548134+0 4.17573-11 4.120975+0 3.38245-11 4.841724+0 2.71656-11 5.754399+0 2.16428-11 6.918310+0 1.71177-11 8.413951+0 1.34464-11 1.035142+1 1.04940-11 1.300000+1 8.05110-12 1.678804+1 6.02849-12 2.162719+1 4.55748-12 2.951209+1 3.25656-12 4.315191+1 2.17895-12 6.683439+1 1.38263-12 1.202264+2 7.57927-13 2.398833+2 3.76417-13 4.786301+2 1.87822-13 3.801894+3 2.35511-14 1.000000+5 8.94970-16 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 6.850000-6 6.850000-6 1.000000+5 6.850000-6 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 6.850000-6 0.0 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 6.510000-6 6.513219+4 6.720000-6 6.760885+4 6.918310-6 7.039363+4 7.161434-6 7.438288+4 7.420000-6 7.926637+4 7.762471-6 8.664733+4 8.200000-6 9.741979+4 8.810489-6 1.146002+5 1.083927-5 1.853774+5 1.202264-5 2.342414+5 1.333521-5 2.937811+5 1.479108-5 3.655468+5 1.621810-5 4.408336+5 1.778279-5 5.275489+5 1.927525-5 6.127398+5 2.070000-5 6.945240+5 2.213095-5 7.749321+5 2.350000-5 8.491987+5 2.483133-5 9.176992+5 2.630268-5 9.877317+5 2.786121-5 1.055302+6 2.951209-5 1.119472+6 3.126079-5 1.178758+6 3.311311-5 1.233133+6 3.507519-5 1.282762+6 3.758374-5 1.334936+6 4.027170-5 1.379784+6 4.315191-5 1.415966+6 4.623810-5 1.441990+6 4.900000-5 1.454861+6 5.188000-5 1.457582+6 5.500000-5 1.450621+6 5.821032-5 1.433413+6 6.237348-5 1.400913+6 6.650000-5 1.361203+6 7.244360-5 1.298940+6 7.943282-5 1.223900+6 8.511380-5 1.164082+6 9.225714-5 1.090380+6 9.900000-5 1.021792+6 1.059300-4 9.541959+5 1.150000-4 8.710570+5 1.260000-4 7.798294+5 1.364583-4 7.024067+5 1.450000-4 6.451090+5 1.550000-4 5.840792+5 1.680000-4 5.133864+5 1.830000-4 4.434971+5 1.972423-4 3.870841+5 2.113489-4 3.394073+5 2.264644-4 2.954436+5 2.426610-4 2.554055+5 2.600160-4 2.193443+5 2.786121-4 1.871979+5 3.019952-4 1.544409+5 3.273407-4 1.264871+5 3.548134-4 1.028419+5 3.845918-4 8.304271+4 4.168694-4 6.662283+4 4.570882-4 5.140772+4 5.011872-4 3.936958+4 5.495409-4 2.994354+4 6.025596-4 2.261797+4 6.683439-4 1.636370+4 7.413102-4 1.174902+4 8.222426-4 8.374497+3 9.120108-4 5.926480+3 1.011579-3 4.165596+3 1.135011-3 2.794686+3 1.273503-3 1.861031+3 1.428894-3 1.230408+3 1.603245-3 8.079263+2 1.778279-3 5.494523+2 1.949845-3 3.875962+2 2.162719-3 2.595201+2 2.426610-3 1.648977+2 2.851018-3 8.647649+1 3.235937-3 5.170894+1 3.630781-3 3.217366+1 4.073803-3 1.987473+1 4.570882-3 1.217824+1 5.128614-3 7.408802+0 5.754399-3 4.475572+0 6.531306-3 2.548049+0 7.498942-3 1.366933+0 9.015711-3 5.904956-1 1.047129-2 2.962883-1 1.202264-2 1.556202-1 1.348963-2 9.040548-2 1.548817-2 4.676534-2 1.798871-2 2.272514-2 2.065380-2 1.159215-2 2.454709-2 4.956689-3 2.985383-2 1.876839-3 3.845918-2 5.293462-4 6.237348-2 4.677006-5 7.673615-2 1.663751-5 9.120108-2 7.071813-6 1.047129-1 3.591312-6 1.188502-1 1.943785-6 1.333521-1 1.120825-6 1.496236-1 6.511969-7 1.659587-1 4.022808-7 1.840772-1 2.503112-7 2.018366-1 1.652640-7 2.213400-1 1.097700-7 2.426610-1 7.345296-8 2.630268-1 5.200655-8 2.851018-1 3.708912-8 3.090295-1 2.666932-8 3.349654-1 1.932389-8 3.630781-1 1.411381-8 3.935501-1 1.038678-8 4.315191-1 7.378117-9 4.677351-1 5.505081-9 5.069907-1 4.139510-9 5.432503-1 3.264086-9 5.821032-1 2.591557-9 6.237348-1 2.072344-9 6.623700-1 1.716500-9 7.079458-1 1.404357-9 7.585776-1 1.148596-9 8.222427-1 9.15845-10 8.810489-1 7.59179-10 9.332543-1 6.53415-10 9.885531-1 5.65945-10 1.035142+0 5.08068-10 1.083927+0 4.59428-10 1.135011+0 4.18026-10 1.202264+0 3.74142-10 1.303167+0 3.23169-10 1.428894+0 2.75574-10 1.513561+0 2.49957-10 1.819701+0 1.81169-10 2.041738+0 1.49113-10 2.317395+0 1.21380-10 2.630268+0 9.95436-11 3.019952+0 8.07831-11 3.507519+0 6.49061-11 4.073803+0 5.25465-11 4.786301+0 4.21793-11 5.688529+0 3.35870-11 6.839116+0 2.65523-11 8.317638+0 2.08480-11 1.023293+1 1.62641-11 1.288250+1 1.24378-11 1.659587+1 9.33635-12 2.137962+1 7.05601-12 2.884032+1 5.10325-12 4.168694+1 3.45438-12 6.456542+1 2.19071-12 1.122018+2 1.24333-12 2.238721+2 6.17069-13 4.466836+2 3.07804-13 3.548134+3 3.85842-14 1.000000+5 1.36830-15 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 6.510000-6 6.510000-6 1.000000+5 6.510000-6 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 6.510000-6 0.0 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 4.175000-5 6.201440+4 4.466836-5 7.361665+4 4.650000-5 8.101540+4 4.800000-5 8.685880+4 4.954502-5 9.261320+4 5.150000-5 9.944860+4 5.350000-5 1.058548+5 5.559043-5 1.118754+5 5.754399-5 1.168754+5 5.956621-5 1.214142+5 6.165950-5 1.254411+5 6.400000-5 1.291634+5 6.650000-5 1.322638+5 6.918310-5 1.346466+5 7.161434-5 1.360395+5 7.500000-5 1.369334+5 7.852356-5 1.368127+5 8.222426-5 1.358111+5 8.709636-5 1.335404+5 9.300000-5 1.299112+5 1.000000-4 1.250116+5 1.080000-4 1.191182+5 1.161449-4 1.130191+5 1.244515-4 1.068293+5 1.350000-4 9.920500+4 1.479108-4 9.053861+4 1.659587-4 7.998427+4 1.850000-4 7.066300+4 2.065380-4 6.184979+4 2.371374-4 5.189156+4 2.754229-4 4.260746+4 3.235937-4 3.415871+4 3.845918-4 2.676499+4 4.700000-4 1.998016+4 5.623413-4 1.526654+4 6.683439-4 1.170562+4 8.000000-4 8.814640+3 9.549926-4 6.617203+3 1.148154-3 4.871994+3 1.380384-3 3.559401+3 1.678804-3 2.529842+3 2.065380-3 1.748753+3 2.540973-3 1.200362+3 3.235937-3 7.662619+2 4.000000-3 5.134250+2 4.897788-3 3.476551+2 6.000000-3 2.333921+2 7.244360-3 1.600627+2 8.709636-3 1.099278+2 1.035142-2 7.675995+1 1.258925-2 5.065540+1 1.584893-2 3.078509+1 1.883649-2 2.105978+1 2.137962-2 1.584711+1 2.483133-2 1.124235+1 2.917427-2 7.709680+0 3.467369-2 5.107655+0 4.120975-2 3.357142+0 4.897788-2 2.189317+0 5.821032-2 1.416164+0 6.998420-2 8.828077-1 8.317638-2 5.628534-1 1.023293-1 3.250959-1 1.333521-1 1.597903-1 2.317395-1 3.573129-2 2.851018-1 2.050361-2 3.388442-1 1.299676-2 3.890451-1 9.085550-3 4.415705-1 6.587570-3 5.011872-1 4.811882-3 5.623413-1 3.643187-3 6.237348-1 2.854333-3 6.998420-1 2.192994-3 7.762471-1 1.741842-3 8.709636-1 1.358030-3 9.549926-1 1.120505-3 1.059254+0 9.101306-4 1.202264+0 7.107074-4 1.348963+0 5.717483-4 1.513561+0 4.632593-4 1.717908+0 3.704762-4 1.949845+0 2.985273-4 2.213095+0 2.423138-4 2.511886+0 1.982003-4 2.884032+0 1.604428-4 3.349654+0 1.286114-4 3.890451+0 1.038857-4 4.570882+0 8.320681-5 5.432503+0 6.612325-5 6.456542+0 5.293775-5 7.852356+0 4.147146-5 9.549926+0 3.272900-5 1.216186+1 2.464107-5 1.584893+1 1.822602-5 2.089296+1 1.341534-5 2.818383+1 9.698118-6 4.027170+1 6.641430-6 6.165950+1 4.259617-6 1.047129+2 2.473352-6 2.089296+2 1.226815-6 4.168694+2 6.117090-7 3.311311+3 7.665668-8 1.000000+5 2.537000-9 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 4.175000-5 4.175000-5 1.000000+5 4.175000-5 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.175000-5 0.0 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.635000-5 6.697240+6 2.722701-5 6.009948+6 2.985383-5 4.375288+6 3.311311-5 3.043435+6 3.630781-5 2.186674+6 4.731513-5 8.276379+5 5.188000-5 5.943882+5 5.559043-5 4.666077+5 5.956621-5 3.687471+5 6.309573-5 3.048329+5 6.683439-5 2.535965+5 7.000000-5 2.199340+5 7.328245-5 1.920760+5 7.673615-5 1.686667+5 8.035261-5 1.490877+5 8.413951-5 1.326988+5 8.810489-5 1.189405+5 9.225714-5 1.073489+5 9.660509-5 9.753625+4 1.011579-4 8.918061+4 1.060000-4 8.192160+4 1.122018-4 7.445569+4 1.188502-4 6.814166+4 1.260000-4 6.276060+4 1.333521-4 5.831784+4 1.428894-4 5.371134+4 1.548817-4 4.916278+4 1.720000-4 4.415120+4 2.041738-4 3.740800+4 2.691535-4 2.875175+4 3.126079-4 2.476778+4 3.630781-4 2.118602+4 4.120975-4 1.843679+4 4.731513-4 1.573148+4 5.370318-4 1.350250+4 6.095369-4 1.151017+4 6.918310-4 9.738393+3 7.762471-4 8.312514+3 8.810489-4 6.933765+3 1.000000-3 5.737820+3 1.135011-3 4.711272+3 1.288250-3 3.838981+3 1.462177-3 3.103032+3 1.659587-3 2.489760+3 1.883649-3 1.983607+3 2.162719-3 1.535986+3 2.454709-3 1.206410+3 2.786121-3 9.410736+2 3.198895-3 7.121410+2 3.630781-3 5.476053+2 4.120975-3 4.181252+2 4.677351-3 3.169853+2 5.308844-3 2.385723+2 6.025596-3 1.782383+2 6.839116-3 1.321547+2 7.762471-3 9.726835+1 8.810489-3 7.105093+1 1.035142-2 4.721087+1 1.202264-2 3.208757+1 1.364583-2 2.298607+1 1.531087-2 1.686128+1 1.737801-2 1.188727+1 2.000000-2 8.001679+0 2.317395-2 5.244028+0 2.691535-2 3.386911+0 3.126079-2 2.171358+0 3.672823-2 1.334911+0 4.365158-2 7.866022-1 5.248075-2 4.440128-1 6.531306-2 2.231685-1 8.912509-2 8.315696-2 1.396368-1 1.987879-2 1.737801-1 9.965131-3 2.089296-1 5.611102-3 2.426610-1 3.541430-3 2.786121-1 2.331336-3 3.162278-1 1.599810-3 3.589219-1 1.105817-3 4.027170-1 7.959390-4 4.518559-1 5.770385-4 5.011872-1 4.348777-4 5.559043-1 3.299416-4 6.165950-1 2.521177-4 6.839117-1 1.941197-4 7.585776-1 1.505992-4 8.609938-1 1.111944-4 9.225714-1 9.479932-5 9.772372-1 8.347765-5 1.047129+0 7.222481-5 1.135011+0 6.141764-5 1.244515+0 5.142258-5 1.364583+0 4.339582-5 1.659587+0 3.065810-5 1.883649+0 2.464301-5 2.113489+0 2.033774-5 2.398833+0 1.659044-5 2.722701+0 1.363149-5 3.162278+0 1.089448-5 3.672823+0 8.774159-6 4.265795+0 7.119058-6 5.011872+0 5.726512-6 5.956621+0 4.568924-6 7.161434+0 3.618928-6 8.709636+0 2.846340-6 1.083927+1 2.194326-6 1.348963+1 1.703603-6 1.737801+1 1.280464-6 2.200000+1 9.874400-7 3.019952+1 7.013781-7 4.466836+1 4.638720-7 7.079458+1 2.876074-7 1.318257+2 1.523389-7 2.630268+2 7.571453-8 1.047129+3 1.890429-8 6.606934+4 2.98980-10 1.000000+5 1.97550-10 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.635000-5 2.635000-5 1.000000+5 2.635000-5 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.635000-5 0.0 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.359000-5 1.393232+7 3.235937-5 4.387919+6 3.845918-5 2.325934+6 4.168694-5 1.739479+6 4.466836-5 1.365220+6 4.731513-5 1.122773+6 5.011872-5 9.297003+5 5.300000-5 7.797160+5 5.580000-5 6.677760+5 5.821032-5 5.912399+5 6.095369-5 5.210669+5 6.382635-5 4.624226+5 6.683439-5 4.133702+5 7.000000-5 3.720976+5 7.328245-5 3.378184+5 7.673615-5 3.087767+5 8.035261-5 2.841764+5 8.413951-5 2.631727+5 8.912509-5 2.409037+5 9.500000-5 2.201952+5 1.011579-4 2.029450+5 1.096478-4 1.842143+5 1.202264-4 1.662684+5 1.364583-4 1.457663+5 1.905461-4 1.041632+5 2.281200-4 8.627880+4 2.691535-4 7.201379+4 3.126079-4 6.065020+4 3.589219-4 5.140369+4 4.120975-4 4.325305+4 4.731513-4 3.614009+4 5.370318-4 3.044972+4 6.200000-4 2.488076+4 7.079458-4 2.048592+4 8.035261-4 1.690412+4 9.120108-4 1.384694+4 1.035142-3 1.126013+4 1.174898-3 9.091639+3 1.333521-3 7.289145+3 1.513561-3 5.803291+3 1.717908-3 4.588342+3 1.949845-3 3.603097+3 2.238721-3 2.747162+3 2.570396-3 2.077995+3 2.917427-3 1.597534+3 3.311311-3 1.219973+3 3.758374-3 9.252447+2 4.265795-3 6.967757+2 4.841724-3 5.209577+2 5.495409-3 3.866678+2 6.237348-3 2.848487+2 7.079458-3 2.082365+2 8.035261-3 1.510642+2 9.120108-3 1.088080+2 1.035142-2 7.779969+1 1.179700-2 5.459357+1 1.348963-2 3.766459+1 1.548817-2 2.549129+1 1.778279-2 1.712195+1 2.041738-2 1.141213+1 2.344229-2 7.547805+0 2.691535-2 4.956346+0 3.090295-2 3.232478+0 3.589219-2 2.019435+0 4.216965-2 1.207593+0 5.011872-2 6.907034-1 6.095369-2 3.632030-1 7.673615-2 1.690624-1 1.047129-1 5.970196-2 1.428894-1 2.103085-2 1.737801-1 1.097218-2 2.065380-1 6.224383-3 2.371374-1 3.979736-3 2.691535-1 2.659458-3 3.019952-1 1.856037-3 3.388442-1 1.305008-3 3.758374-1 9.571098-4 4.168694-1 7.070854-4 4.623810-1 5.264807-4 5.069907-1 4.078642-4 5.559043-1 3.181416-4 6.095369-1 2.499053-4 6.683439-1 1.977632-4 7.328245-1 1.576281-4 8.317638-1 1.165610-4 9.015711-1 9.678474-5 9.660509-1 8.311228-5 1.035142+0 7.192100-5 1.135011+0 5.977766-5 1.250000+0 4.963600-5 1.380384+0 4.133969-5 1.659587+0 2.979330-5 1.883649+0 2.395015-5 2.137962+0 1.939702-5 2.426610+0 1.583372-5 2.754229+0 1.301798-5 3.198895+0 1.041065-5 3.715352+0 8.389488-6 4.315191+0 6.810663-6 5.069907+0 5.481172-6 6.025596+0 4.375322-6 7.244360+0 3.467212-6 8.810489+0 2.728145-6 1.100000+1 2.096200-6 1.364583+1 1.634092-6 1.737801+1 1.244469-6 2.238721+1 9.415574-7 3.126079+1 6.570186-7 4.677351+1 4.296252-7 7.498942+1 2.634558-7 1.462177+2 1.332599-7 2.917427+2 6.629067-8 1.161449+3 1.656239-8 1.000000+5 1.92000-10 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.359000-5 2.359000-5 1.000000+5 2.359000-5 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.359000-5 0.0 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 4.810000-6 2.729420+6 4.841724-6 2.653342+6 4.950000-6 2.391320+6 5.248075-6 1.807066+6 5.623413-6 1.286945+6 5.956621-6 9.630081+5 6.309573-6 7.158129+5 6.683439-6 5.279242+5 7.079458-6 3.863305+5 7.413102-6 2.991312+5 7.852356-6 2.156294+5 8.317638-6 1.543056+5 9.350000-6 7.736100+4 9.700000-6 6.255760+4 1.000000-5 5.275600+4 1.027000-5 4.574200+4 1.050000-5 4.087460+4 1.071519-5 3.709483+4 1.092000-5 3.409160+4 1.110000-5 3.186620+4 1.127000-5 3.007560+4 1.148154-5 2.821718+4 1.165000-5 2.699440+4 1.185000-5 2.580040+4 1.202264-5 2.496774+4 1.222000-5 2.421180+4 1.244515-5 2.357121+4 1.260000-5 2.324980+4 1.280100-5 2.295868+4 1.303167-5 2.277674+4 1.330000-5 2.273680+4 1.357000-5 2.285040+4 1.390000-5 2.315420+4 1.428894-5 2.369473+4 1.480000-5 2.461300+4 1.548817-5 2.607280+4 1.737801-5 3.041964+4 1.840772-5 3.264617+4 1.927525-5 3.435613+4 2.018366-5 3.596559+4 2.113489-5 3.744810+4 2.230000-5 3.898280+4 2.355000-5 4.029948+4 2.483133-5 4.133066+4 2.630268-5 4.217636+4 2.800000-5 4.277540+4 2.985383-5 4.305228+4 3.162278-5 4.301258+4 3.350000-5 4.269440+4 3.570000-5 4.203740+4 3.801894-5 4.111129+4 4.073803-5 3.982366+4 4.365158-5 3.829458+4 4.677351-5 3.655273+4 5.069907-5 3.434417+4 5.500000-5 3.201800+4 6.000000-5 2.950060+4 6.683439-5 2.643506+4 7.585776-5 2.306543+4 9.015711-5 1.895647+4 1.216186-4 1.331478+4 1.412538-4 1.111137+4 1.566751-4 9.739840+3 1.737801-4 8.470909+3 1.972423-4 7.082436+3 2.344229-4 5.511038+3 3.273407-4 3.356540+3 4.027170-4 2.462839+3 6.025596-4 1.321839+3 7.413102-4 9.489474+2 9.236000-4 6.635044+2 1.122018-3 4.787120+2 1.216186-3 4.169166+2 1.927525-3 1.846786+2 2.454709-3 1.195594+2 3.019952-3 8.179575+1 3.715352-3 5.546227+1 4.570882-3 3.731662+1 5.559043-3 2.547889+1 6.839116-3 1.687819+1 8.222426-3 1.162023+1 9.885531-3 7.942021+0 1.188502-2 5.385996+0 1.412538-2 3.715501+0 1.678804-2 2.544920+0 2.000000-2 1.720957+0 2.371374-2 1.166975+0 2.818383-2 7.808815-1 3.311311-2 5.327455-1 3.935501-2 3.508930-1 4.677351-2 2.293021-1 5.495409-2 1.530306-1 6.606934-2 9.562717-2 8.000000-2 5.822100-2 9.772372-2 3.429998-2 1.258925-1 1.740118-2 2.511886-1 2.688642-3 3.019952-1 1.644869-3 3.507519-1 1.110378-3 4.027170-1 7.779085-4 4.570882-1 5.653856-4 5.128614-1 4.259019-4 5.754399-1 3.231696-4 6.382635-1 2.537852-4 7.079458-1 2.006449-4 7.852356-1 1.597311-4 8.709636-1 1.280480-4 9.660509-1 1.034311-4 1.109175+0 7.864365-5 1.258925+0 6.158659-5 1.428894+0 4.863108-5 1.584893+0 4.034315-5 1.798871+0 3.235576-5 2.044000+0 2.609200-5 2.317395+0 2.127739-5 2.630268+0 1.744971-5 3.019952+0 1.416143-5 3.507519+0 1.137809-5 4.073803+0 9.211407-6 4.786301+0 7.394038-6 5.688529+0 5.887808-6 6.839116+0 4.654729-6 8.317638+0 3.654648-6 1.023293+1 2.851102-6 1.273503+1 2.209479-6 1.659587+1 1.636636-6 2.137962+1 1.236958-6 2.884032+1 8.946000-7 4.168694+1 6.055606-7 6.456542+1 3.840334-7 1.122018+2 2.179471-7 2.238721+2 1.081746-7 4.466836+2 5.395902-8 3.548134+3 6.763830-9 1.000000+5 2.39870-10 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 4.810000-6 4.810000-6 1.000000+5 4.810000-6 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 4.810000-6 0.0 1.000000+5 1.000000+5 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.352070-7 1.027100+0 1.020050-6 1.027500+0 1.277600-6 1.028100+0 1.739430-6 1.028750+0 2.352070-6 1.029500+0 3.218870-6 1.030100+0 4.048120-6 1.031000+0 5.539210-6 1.032000+0 7.579020-6 1.033200+0 1.061690-5 1.034000+0 1.303330-5 1.035300+0 1.769080-5 1.036640+0 2.352070-5 1.038200+0 3.174190-5 1.039700+0 4.123910-5 1.041500+0 5.486820-5 1.043800+0 7.615880-5 1.046400+0 1.059610-4 1.048300+0 1.319240-4 1.051200+0 1.789520-4 1.054080+0 2.352070-4 1.057700+0 3.206030-4 1.061100+0 4.170260-4 1.065100+0 5.520990-4 1.070400+0 7.702410-4 1.076200+0 1.064480-3 1.080600+0 1.329360-3 1.087100+0 1.791070-3 1.093710+0 2.352070-3 1.102600+0 3.260950-3 1.110700+0 4.252660-3 1.120600+0 5.688300-3 1.133300+0 7.908400-3 1.147500+0 1.091840-2 1.158200+0 1.356870-2 1.174100+0 1.813670-2 1.190110+0 2.352070-2 1.205100+0 2.928900-2 1.227500+0 3.921270-2 1.250000+0 5.064000-2 1.265600+0 5.931270-2 1.294900+0 7.705900-2 1.320600+0 9.394950-2 1.343000+0 1.095170-1 1.382200+0 1.383040-1 1.433800+0 1.786140-1 1.500000+0 2.340000-1 1.589800+0 3.166470-1 1.665000+0 3.921370-1 1.784700+0 5.218900-1 1.892300+0 6.453500-1 2.000000+0 7.714000-1 2.044000+0 8.227000-1 2.163500+0 9.620890-1 2.372600+0 1.204940+0 2.647100+0 1.517070+0 3.000000+0 1.902000+0 3.500000+0 2.411710+0 4.000000+0 2.883000+0 4.750000+0 3.527170+0 5.000000+0 3.726000+0 6.000000+0 4.452000+0 7.000000+0 5.096000+0 8.000000+0 5.674000+0 9.000000+0 6.199000+0 1.000000+1 6.681000+0 1.100000+1 7.125000+0 1.200000+1 7.537000+0 1.300000+1 7.921000+0 1.400000+1 8.276000+0 1.500000+1 8.606000+0 1.600000+1 8.911000+0 1.800000+1 9.464000+0 2.000000+1 9.960000+0 2.200000+1 1.041000+1 2.400000+1 1.082000+1 2.600000+1 1.119000+1 2.800000+1 1.153000+1 3.000000+1 1.185000+1 4.000000+1 1.313000+1 5.000000+1 1.408000+1 6.000000+1 1.482000+1 8.000000+1 1.591000+1 1.000000+2 1.668000+1 1.500000+2 1.792000+1 2.000000+2 1.865000+1 3.000000+2 1.951000+1 4.000000+2 2.001000+1 5.000000+2 2.033000+1 6.000000+2 2.057000+1 8.000000+2 2.088000+1 1.000000+3 2.108000+1 1.500000+3 2.137000+1 2.000000+3 2.153000+1 3.000000+3 2.170000+1 4.000000+3 2.179000+1 5.000000+3 2.185000+1 6.000000+3 2.189000+1 8.000000+3 2.194000+1 1.000000+4 2.198000+1 1.500000+4 2.202000+1 2.000000+4 2.205000+1 3.000000+4 2.207000+1 4.000000+4 2.209000+1 5.000000+4 2.210000+1 6.000000+4 2.210000+1 8.000000+4 2.211000+1 1.000000+5 2.211000+1 1 58000 7 8 1.401200+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 5.813840-7 2.094700+0 1.023540-6 2.099900+0 1.361680-6 2.106600+0 1.894210-6 2.114000+0 2.620880-6 2.119500+0 3.262980-6 2.127900+0 4.425220-6 2.136250+0 5.813840-6 2.147000+0 7.971180-6 2.156900+0 1.035360-5 2.169000+0 1.381750-5 2.184500+0 1.920680-5 2.201800+0 2.657320-5 2.214800+0 3.310820-5 2.234200+0 4.453630-5 2.253680+0 5.813840-5 2.281500+0 8.143310-5 2.307000+0 1.069620-4 2.338200+0 1.438200-4 2.377400+0 1.991730-4 2.410200+0 2.533150-4 2.446800+0 3.222310-4 2.485900+0 4.057060-4 2.532900+0 5.192170-4 2.556430+0 5.813840-4 2.611900+0 7.413290-4 2.660400+0 8.962270-4 2.745300+0 1.199540-3 2.809000+0 1.452720-3 2.904500+0 1.871470-3 3.000000+0 2.336000-3 3.125000+0 3.012170-3 3.234400+0 3.665110-3 3.425800+0 4.935410-3 3.569300+0 5.984450-3 3.784700+0 7.692410-3 4.000000+0 9.528000-3 4.250000+0 1.177130-2 4.625000+0 1.529590-2 5.000000+0 1.896000-2 5.500000+0 2.399170-2 6.000000+0 2.909000-2 6.750000+0 3.666780-2 7.000000+0 3.916000-2 8.000000+0 4.891000-2 9.000000+0 5.823000-2 1.000000+1 6.708000-2 1.100000+1 7.545000-2 1.200000+1 8.333000-2 1.300000+1 9.075000-2 1.400000+1 9.781000-2 1.500000+1 1.045000-1 1.600000+1 1.108000-1 1.800000+1 1.226000-1 2.000000+1 1.332000-1 2.200000+1 1.430000-1 2.400000+1 1.519000-1 2.600000+1 1.602000-1 2.800000+1 1.678000-1 3.000000+1 1.749000-1 4.000000+1 2.044000-1 5.000000+1 2.266000-1 6.000000+1 2.443000-1 8.000000+1 2.708000-1 1.000000+2 2.901000-1 1.500000+2 3.220000-1 2.000000+2 3.420000-1 3.000000+2 3.666000-1 4.000000+2 3.814000-1 5.000000+2 3.915000-1 6.000000+2 3.989000-1 8.000000+2 4.093000-1 1.000000+3 4.162000-1 1.500000+3 4.265000-1 2.000000+3 4.324000-1 3.000000+3 4.389000-1 4.000000+3 4.427000-1 5.000000+3 4.450000-1 6.000000+3 4.467000-1 8.000000+3 4.489000-1 1.000000+4 4.503000-1 1.500000+4 4.522000-1 2.000000+4 4.533000-1 3.000000+4 4.544000-1 4.000000+4 4.551000-1 5.000000+4 4.555000-1 6.000000+4 4.557000-1 8.000000+4 4.560000-1 1.000000+5 4.563000-1 1 58000 7 8 1.401200+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 58000 7 9 1.401200+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 5.800000+1 1.000000+5 5.800000+1 5.000000+5 5.796300+1 7.500000+5 5.793140+1 1.000000+6 5.790900+1 1.250000+6 5.787150+1 1.500000+6 5.783100+1 1.875000+6 5.773800+1 2.000000+6 5.770200+1 2.375000+6 5.758250+1 2.500000+6 5.753900+1 2.875000+6 5.739740+1 3.000000+6 5.734600+1 3.250000+6 5.723690+1 3.625000+6 5.706180+1 4.000000+6 5.687800+1 4.437500+6 5.665470+1 4.812500+6 5.645010+1 5.000000+6 5.634200+1 5.500000+6 5.603090+1 5.875000+6 5.579090+1 6.437500+6 5.541590+1 6.500000+6 5.537540+1 7.000000+6 5.503600+1 7.500000+6 5.469440+1 8.250000+6 5.417140+1 8.500000+6 5.399810+1 9.000000+6 5.364500+1 1.000000+7 5.292800+1 1.250000+7 5.118800+1 1.500000+7 4.945400+1 1.750000+7 4.776300+1 2.000000+7 4.610300+1 2.250000+7 4.445790+1 2.375000+7 4.364870+1 2.500000+7 4.286200+1 2.875000+7 4.060750+1 3.000000+7 3.990000+1 3.250000+7 3.854430+1 3.500000+7 3.727190+1 3.625000+7 3.666440+1 4.000000+7 3.495100+1 4.500000+7 3.287730+1 5.000000+7 3.098100+1 5.500000+7 2.921800+1 6.000000+7 2.757300+1 6.750000+7 2.531780+1 7.000000+7 2.462600+1 8.000000+7 2.216300+1 9.000000+7 2.016900+1 1.000000+8 1.857600+1 1.125000+8 1.700780+1 1.250000+8 1.571400+1 1.375000+8 1.456270+1 1.468800+8 1.374830+1 1.500000+8 1.348300+1 1.589800+8 1.273130+1 1.665000+8 1.211390+1 1.748800+8 1.144120+1 1.750000+8 1.143170+1 1.838500+8 1.073870+1 1.946200+8 9.922540+0 2.000000+8 9.526700+0 2.281300+8 7.731880+0 2.359400+8 7.357260+0 2.375000+8 7.289170+0 2.453100+8 6.986010+0 2.500000+8 6.832100+0 2.562500+8 6.658120+0 2.671900+8 6.410200+0 2.877000+8 6.005720+0 2.959000+8 5.835020+0 3.000000+8 5.743900+0 3.117200+8 5.462670+0 3.377000+8 4.871240+0 3.500000+8 4.655700+0 3.625000+8 4.491680+0 4.000000+8 4.125300+0 4.179700+8 3.939710+0 4.330100+8 3.775110+0 4.497600+8 3.589420+0 4.750000+8 3.316170+0 4.784700+8 3.279930+0 5.000000+8 3.064400+0 5.343800+8 2.754390+0 5.578100+8 2.562590+0 5.859400+8 2.348450+0 6.000000+8 2.247100+0 6.500000+8 1.928180+0 6.718800+8 1.819750+0 6.906300+8 1.744340+0 7.000000+8 1.712800+0 7.125000+8 1.677080+0 8.000000+8 1.503800+0 8.250000+8 1.449510+0 1.000000+9 1.085800+0 1.031300+9 1.044580+0 1.074300+9 9.990360-1 1.113800+9 9.654840-1 1.139500+9 9.466520-1 1.342300+9 8.337100-1 1.375000+9 8.166660-1 1.398600+9 8.041080-1 1.449300+9 7.760830-1 1.500000+9 7.462500-1 1.562500+9 7.071240-1 1.617200+9 6.718840-1 1.686000+9 6.276030-1 1.743500+9 5.914450-1 1.835100+9 5.367240-1 1.958800+9 4.701060-1 2.000000+9 4.499500-1 2.139200+9 3.888980-1 2.272600+9 3.394330-1 2.443000+9 2.867930-1 2.602800+9 2.461670-1 2.825100+9 2.006770-1 2.961100+9 1.778980-1 3.215900+9 1.431790-1 3.536500+9 1.106000-1 3.804800+9 9.015940-2 4.103600+9 7.264040-2 4.423800+9 5.833740-2 4.807900+9 4.552030-2 5.000000+9 4.044200-2 5.375000+9 3.241570-2 6.031300+9 2.265700-2 7.015600+9 1.404530-2 8.000000+9 9.234300-3 1.00000+10 4.523800-3 1.13510+10 3.023900-3 1.41440+10 1.511100-3 1.70770+10 8.383800-4 2.01080+10 5.049260-4 2.51010+10 2.550020-4 2.97820+10 1.511850-4 3.85600+10 6.902770-5 4.62400+10 3.992990-5 5.96800+10 1.859950-5 7.98400+10 7.830150-6 1.00000+11 4.025400-6 1.34280+11 1.692550-6 1.77440+11 7.492760-7 2.63330+11 2.379180-7 4.88110+11 4.018710-8 1.16740+12 3.346520-9 3.55150+12 1.45551-10 1.00000+14 1.33700-14 2.05350+15 2.82311-18 1.00000+17 4.89750-23 1 58000 7 0 1.401200+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.16000-11 1.000000+2 1.160000-9 1.000000+3 1.160000-7 1.000000+4 1.160000-5 1.000000+5 1.160000-3 5.000000+5 2.900000-2 7.500000+5 6.525000-2 1.000000+6 1.160000-1 1.250000+6 1.797480-1 1.500000+6 2.562000-1 1.875000+6 3.935230-1 2.000000+6 4.449000-1 2.375000+6 6.137730-1 2.500000+6 6.747000-1 2.875000+6 8.692360-1 3.000000+6 9.377000-1 3.250000+6 1.079040+0 3.625000+6 1.300540+0 4.000000+6 1.530400+0 4.437500+6 1.804910+0 4.812500+6 2.042810+0 5.000000+6 2.162000+0 5.500000+6 2.477590+0 5.875000+6 2.711550+0 6.437500+6 3.055440+0 6.500000+6 3.092950+0 7.000000+6 3.389600+0 7.500000+6 3.677020+0 8.250000+6 4.094360+0 8.500000+6 4.230320+0 9.000000+6 4.498700+0 1.000000+7 5.025000+0 1.250000+7 6.324500+0 1.500000+7 7.634000+0 1.750000+7 8.930100+0 2.000000+7 1.019000+1 2.250000+7 1.140880+1 2.375000+7 1.200420+1 2.500000+7 1.259200+1 2.875000+7 1.429740+1 3.000000+7 1.484400+1 3.250000+7 1.589640+1 3.500000+7 1.689400+1 3.625000+7 1.737100+1 4.000000+7 1.871300+1 4.500000+7 2.030430+1 5.000000+7 2.173700+1 5.500000+7 2.306620+1 6.000000+7 2.433400+1 6.750000+7 2.615920+1 7.000000+7 2.675000+1 8.000000+7 2.902500+1 9.000000+7 3.114300+1 1.000000+8 3.308300+1 1.125000+8 3.523000+1 1.250000+8 3.707500+1 1.375000+8 3.864510+1 1.468800+8 3.967870+1 1.500000+8 4.000100+1 1.589800+8 4.086950+1 1.665000+8 4.154660+1 1.748800+8 4.224890+1 1.750000+8 4.225860+1 1.838500+8 4.295050+1 1.946200+8 4.373370+1 2.000000+8 4.410400+1 2.281300+8 4.584080+1 2.359400+8 4.627710+1 2.375000+8 4.635950+1 2.453100+8 4.676630+1 2.500000+8 4.700600+1 2.562500+8 4.730640+1 2.671900+8 4.781940+1 2.877000+8 4.869280+1 2.959000+8 4.901600+1 3.000000+8 4.917500+1 3.117200+8 4.960640+1 3.377000+8 5.047860+1 3.500000+8 5.086000+1 3.625000+8 5.121960+1 4.000000+8 5.219700+1 4.179700+8 5.260270+1 4.330100+8 5.291940+1 4.497600+8 5.324980+1 4.750000+8 5.369260+1 4.784700+8 5.375170+1 5.000000+8 5.408300+1 5.343800+8 5.453570+1 5.578100+8 5.480840+1 5.859400+8 5.509050+1 6.000000+8 5.521700+1 6.500000+8 5.559780+1 6.718800+8 5.574060+1 6.906300+8 5.585160+1 7.000000+8 5.590600+1 7.125000+8 5.596950+1 8.000000+8 5.636100+1 8.250000+8 5.644850+1 1.000000+9 5.695200+1 1.031300+9 5.701870+1 1.074300+9 5.710720+1 1.113800+9 5.718550+1 1.139500+9 5.723170+1 1.342300+9 5.751900+1 1.375000+9 5.755500+1 1.398600+9 5.757770+1 1.449300+9 5.762510+1 1.500000+9 5.767100+1 1.562500+9 5.771410+1 1.617200+9 5.775040+1 1.686000+9 5.778500+1 1.743500+9 5.781200+1 1.835100+9 5.785040+1 1.958800+9 5.788880+1 2.000000+9 5.790100+1 2.139200+9 5.792750+1 2.272600+9 5.795120+1 2.443000+9 5.797480+1 2.602800+9 5.798880+1 2.825100+9 5.800100+1 2.961100+9 5.800500+1 3.215900+9 5.801200+1 3.536500+9 5.801120+1 3.804800+9 5.800880+1 4.103600+9 5.800640+1 4.423800+9 5.800400+1 4.807900+9 5.800130+1 5.000000+9 5.800000+1 5.375000+9 5.800000+1 6.031300+9 5.800000+1 7.015600+9 5.800000+1 8.000000+9 5.800000+1 1.00000+10 5.800000+1 1.13510+10 5.800000+1 1.41440+10 5.800000+1 1.70770+10 5.800000+1 2.01080+10 5.800000+1 2.51010+10 5.800000+1 2.97820+10 5.800000+1 3.85600+10 5.800000+1 4.62400+10 5.800000+1 5.96800+10 5.800000+1 7.98400+10 5.800000+1 1.00000+11 5.800000+1 1.34280+11 5.800000+1 1.77440+11 5.800000+1 2.63330+11 5.800000+1 4.88110+11 5.800000+1 1.16740+12 5.800000+1 3.55150+12 5.800000+1 1.00000+14 5.800000+1 2.05350+15 5.800000+1 1.00000+17 5.800000+1 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.946294-6 0.0 1.954678-6 3.703713+0 1.955876-6 4.227416+0 1.960666-6 7.721721+0 1.965457-6 1.301988+1 1.970846-6 2.136953+1 1.979155-6 3.728072+1 1.985218-6 4.805245+1 1.989849-6 5.365374+1 1.994708-6 5.553903+1 1.999684-6 5.283859+1 2.004493-6 4.647179+1 2.011912-6 3.256342+1 2.018153-6 2.075808+1 2.023243-6 1.306302+1 2.027734-6 7.985855+0 2.032674-6 4.325670+0 2.039648-6 1.145537+0 2.042083-6 1.044966-2 2.042106-6 0.0 2.069404-6 0.0 2.078318-6 7.652907+0 2.079591-6 8.735024+0 2.084685-6 1.595524+1 2.090097-6 2.783629+1 2.095509-6 4.415542+1 2.104589-6 7.798326+1 2.110471-6 9.849615+1 2.116071-6 1.111982+2 2.121074-6 1.145977+2 2.125901-6 1.098296+2 2.131156-6 9.640689+1 2.145808-6 4.289200+1 2.150901-6 2.768958+1 2.155995-6 1.650101+1 2.161089-6 9.077341+0 2.169958-6 1.194730+0 2.171276-6 2.19447-15 2.173850-6 2.15365-15 2.179059-6 1.91469-15 2.186874-6 1.38113-15 2.194688-6 8.32522-16 2.199898-6 5.37447-16 2.205107-6 3.20280-16 2.210317-6 1.76189-16 2.215526-6 8.94705-17 2.220736-6 0.0 2.316532-6 0.0 2.322233-6 7.729397-2 2.327935-6 1.529434-1 2.333637-6 2.793637-1 2.339339-6 4.710456-1 2.345041-6 7.331786-1 2.353594-6 1.225125+0 2.362146-6 1.710699+0 2.367848-6 1.933463+0 2.373550-6 2.017215+0 2.379252-6 1.942775+0 2.384954-6 1.727216+0 2.393506-6 1.245901+0 2.402059-6 7.510054-1 2.407761-6 4.848230-1 2.413463-6 2.889198-1 2.419165-6 1.589372-1 2.424867-6 8.071005-2 2.430568-6 0.0 2.466168-6 0.0 2.472239-6 5.620717-2 2.478309-6 1.112185-1 2.484379-6 2.031497-1 2.490449-6 3.425382-1 2.496519-6 5.331579-1 2.505624-6 8.908948-1 2.514730-6 1.243998+0 2.520800-6 1.405989+0 2.526870-6 1.466893+0 2.532940-6 1.412761+0 2.539010-6 1.256009+0 2.548116-6 9.060029-1 2.557221-6 5.461214-1 2.563291-6 3.525570-1 2.569361-6 2.100987-1 2.575431-6 1.155770-1 2.581501-6 5.869130-2 2.587572-6 0.0 2.666156-6 0.0 2.672718-6 4.225671-3 2.679281-6 8.361439-3 2.685843-6 1.527285-2 2.692406-6 2.575213-2 2.698968-6 4.008297-2 2.705530-6 5.759179-2 2.712093-6 7.638625-2 2.718655-6 9.352413-2 2.725218-6 1.057027-1 2.731780-6 1.102814-1 2.738342-6 1.062118-1 2.744905-6 9.442714-2 2.751467-6 7.749523-2 2.764592-6 4.105757-2 2.771154-6 2.650534-2 2.777717-6 1.579528-2 2.784279-6 8.689115-3 2.790842-6 4.412429-3 2.797404-6 0.0 2.934833-6 0.0 2.942057-6 2.94834-15 2.949280-6 5.83394-15 2.956504-6 1.06562-14 2.963728-6 1.79678-14 2.970951-6 2.79667-14 2.978175-6 4.01830-14 2.985399-6 5.32962-14 2.992623-6 6.52537-14 2.999846-6 7.37509-14 3.007070-6 7.69456-14 3.014294-6 7.41061-14 3.021517-6 6.58837-14 3.028741-6 5.40700-14 3.043189-6 2.86467-14 3.050412-6 1.84933-14 3.057636-6 1.10207-14 3.064860-6 6.06257-15 3.072083-6 3.07864-15 3.079307-6 0.0 3.391102-6 0.0 3.400150-6 3.705490-6 3.407796-6 1.127561-5 3.416143-6 2.169378-5 3.416888-6 2.288036-5 3.423954-6 3.686955-5 3.440809-6 9.743956-2 3.449530-6 1.821763-1 3.457876-6 3.041769-1 3.461705-6 3.798875-1 3.469194-6 6.992734-1 3.479528-6 1.180133+0 3.488532-6 1.728827+0 3.498285-6 2.460117+0 3.521348-6 4.391334+0 3.530401-6 4.962412+0 3.538389-6 5.246813+0 3.548441-6 5.162869+0 3.556496-6 4.788712+0 3.565396-6 4.087132+0 3.589513-6 1.754908+0 3.598033-6 1.121110+0 3.606554-6 6.681012-1 3.615074-6 3.675280-1 3.623595-6 1.866348-1 3.632115-6 3.11657-20 3.644286-6 2.27190-20 3.649424-6 1.89513-20 3.658407-6 8.815174-9 3.667389-6 1.744280-8 3.676372-6 3.186070-8 3.685354-6 5.372152-8 3.694337-6 8.361710-8 3.703320-6 1.201423-7 3.712302-6 1.593494-7 3.721285-6 1.951007-7 3.730267-6 2.205064-7 3.739250-6 2.300581-7 3.748233-6 2.215684-7 3.757215-6 1.969845-7 3.766198-6 1.616628-7 3.784163-6 8.565020-8 3.793146-6 5.529279-8 3.802128-6 3.295055-8 3.811111-6 1.812637-8 3.820093-6 9.204769-9 3.829076-6 0.0 3.870054-6 0.0 3.870093-6 2.78480-14 3.875939-6 9.76968-12 3.895019-6 1.222786-8 3.904559-6 2.233026-8 3.914099-6 3.764419-8 3.923639-6 5.858178-8 3.951089-6 1.335440-7 3.955012-6 6.212138-7 3.960458-6 2.273248-6 3.977021-6 1.680689-2 3.980264-6 3.490402-2 3.990420-6 9.807911-2 3.996599-6 1.411101-1 4.006387-6 2.447896-1 4.016176-6 3.938550-1 4.025965-6 5.875940-1 4.048340-6 1.100674+0 4.058107-6 1.275481+0 4.066741-6 1.366295+0 4.074910-6 1.384764+0 4.084699-6 1.305156+0 4.099491-6 1.024351+0 4.120510-6 5.450765-1 4.123855-6 4.731652-1 4.133644-6 3.019359-1 4.143433-6 1.781040-1 4.153221-6 9.332075-2 4.156539-6 7.581551-2 4.168966-6 1.811401-2 4.172799-6 4.355933-9 4.176225-6 3.393656-9 4.189489-6 1.142295-9 4.195912-6 2.91047-11 4.199750-6 3.50530-11 4.210012-6 5.90949-11 4.217150-6 8.19401-11 4.225885-6 3.100491-3 4.237910-6 2.812801-2 4.246688-6 4.816222-2 4.257090-6 8.640960-2 4.267491-6 1.432566-1 4.279430-6 2.327714-1 4.306467-6 4.680250-1 4.310570-6 4.996880-1 4.320950-6 5.511502-1 4.331427-6 5.618140-1 4.342089-6 5.275881-1 4.352750-6 4.563162-1 4.372850-6 2.860485-1 4.383230-6 2.104324-1 4.392309-6 1.613252-1 4.397400-6 1.448302-1 4.402930-6 1.316393-1 4.408144-6 1.284706-1 4.414370-6 1.313987-1 4.418888-6 1.382180-1 4.429633-6 1.631191-1 4.435125-6 1.805871-1 4.451121-6 2.488445-1 4.461970-6 2.858516-1 4.472925-6 3.022352-1 4.483881-6 2.996249-1 4.516748-6 2.393289-1 4.531710-6 2.239632-1 4.547820-6 2.225259-1 4.568127-6 2.304573-1 4.687882-6 2.079016-1 4.719886-6 1.980185-1 4.748738-6 1.855949-1 4.779455-6 1.815623-1 4.829549-6 1.868759-1 4.980160-6 1.657107-1 5.029192-6 1.684578-1 5.091353-6 1.884530-1 5.116172-6 1.853074-1 5.176396-6 1.521414-1 5.201030-6 1.434743-1 5.225320-6 1.381020-1 5.320737-6 1.287704-1 5.374184-6 1.300537-1 5.438604-6 1.432407-1 5.464796-6 1.413615-1 5.535032-6 1.159243-1 5.575904-6 1.098541-1 5.603955-6 1.106152-1 5.657646-6 1.153882-1 5.684894-6 1.135038-1 5.766636-6 9.580327-2 5.823746-6 9.075802-2 5.880803-6 9.081198-2 5.957068-6 9.370151-2 6.037650-6 9.215704-2 6.144688-6 7.854333-2 6.195806-6 7.640655-2 6.288599-6 7.655138-2 6.410774-6 6.691833-2 6.500227-6 6.400485-2 6.598332-6 6.334185-2 6.825547-6 5.487617-2 6.965011-6 5.373165-2 7.420000-6 4.543894-2 7.804827-6 4.097331-2 8.350000-6 3.783028-2 8.751764-6 3.735916-2 9.248978-6 3.860267-2 9.943052-6 4.304502-2 1.077972-5 5.186421-2 1.183237-5 6.738872-2 1.307324-5 9.137400-2 1.465238-5 1.303302-1 1.623941-5 1.785215-1 1.833660-5 2.559494-1 1.886018-5 2.765760-1 1.895302-5 2.468107+0 1.899945-5 4.278456+0 1.904587-5 7.022276+0 1.906016-5 8.175170+0 1.910771-5 2.220111+1 1.915399-5 3.638567+1 1.920090-5 5.725650+1 1.924782-5 8.566611+1 1.932001-5 1.435990+2 1.939720-5 2.110049+2 1.944664-5 2.460472+2 1.948998-5 2.649472+2 1.953269-5 2.688074+2 1.958217-5 2.518940+2 1.964451-5 2.058963+2 1.976387-5 9.625721+1 1.981078-5 6.185706+1 1.985770-5 3.699349+1 1.990461-5 2.049711+1 1.998012-5 4.334155+0 1.999844-5 3.276932-1 2.125845-5 3.856695-1 2.136310-5 6.513129-1 2.141548-5 8.695931-1 2.146775-5 1.198630+0 2.152008-5 1.648072+0 2.158111-5 2.294369+0 2.167407-5 1.272611+1 2.168735-5 1.419235+1 2.174047-5 2.355249+1 2.179740-5 3.884429+1 2.185940-5 6.161020+1 2.200772-5 1.266060+2 2.206665-5 1.435248+2 2.211830-5 1.488978+2 2.217129-5 1.432687+2 2.223743-5 1.224850+2 2.238439-5 5.826267+1 2.243101-5 4.100246+1 2.248413-5 2.632770+1 2.253884-5 1.631252+1 2.264349-5 4.854267+0 2.282524-5 5.395581+0 2.290186-5 5.616104+0 2.294118-5 5.683223+0 2.327994-5 5.342632+0 2.344020-5 5.220677+0 2.397987-5 4.998186+0 2.415805-5 5.125301+0 2.436268-5 5.673437+0 2.474749-5 7.141150+0 2.493186-5 8.307217+0 2.504640-5 8.632106+0 2.510657-5 8.489920+0 2.531235-5 7.226325+0 2.541538-5 6.894506+0 2.577121-5 7.045914+0 2.655753-5 6.648074+0 2.756108-5 6.109104+0 3.036025-5 5.076391+0 3.311311-5 4.380630+0 3.659633-5 3.786439+0 3.850518-5 3.592582+0 3.916055-5 3.575845+0 4.000100-5 3.429774+0 4.623810-5 3.131012+0 5.350000-5 3.031477+0 1.030349-4 3.161314+0 1.033853-4 3.974670+0 1.037182-4 2.049637+1 1.038942-4 2.937544+1 1.041487-4 5.048853+1 1.044032-4 8.213704+1 1.046577-4 1.249549+2 1.053174-4 2.612160+2 1.055262-4 2.951755+2 1.057252-4 3.175727+2 1.059978-4 3.233720+2 1.062573-4 3.037003+2 1.066332-4 2.472736+2 1.070021-4 1.834218+2 1.072103-4 1.536328+2 1.074648-4 1.328656+2 1.077231-4 1.306016+2 1.080147-4 1.474751+2 1.087777-4 2.137951+2 1.090255-4 2.211530+2 1.093150-4 2.094989+2 1.096122-4 1.799556+2 1.103447-4 8.203488+1 1.105918-4 5.536638+1 1.108370-4 3.554647+1 1.110988-4 2.154052+1 1.116225-4 4.587124+0 1.131217-4 5.603314+0 1.150824-4 6.151148+0 1.192000-4 7.951995+0 1.216720-4 8.596701+0 1.245505-4 8.779719+0 1.280598-4 8.405164+0 1.408459-4 6.124929+0 1.483812-4 5.153430+0 1.560000-4 4.486494+0 1.645329-4 4.038864+0 1.750000-4 3.787645+0 1.866825-4 3.746381+0 2.003770-4 3.891421+0 2.019245-4 4.078544+0 2.029121-4 4.331628+0 2.049107-4 5.006758+0 2.059223-4 5.142487+0 2.096393-4 5.045671+0 2.212990-4 5.344540+0 2.301517-4 5.849548+0 2.778864-4 6.918881+0 2.838004-4 7.507105+0 3.247763-4 8.134737+0 3.840387-4 8.588880+0 4.551191-4 8.664383+0 5.891571-4 8.165827+0 8.583928-4 6.622371+0 8.626277-4 1.296936+1 8.648781-4 1.875608+1 8.670088-4 2.704704+1 8.693721-4 3.975843+1 8.756007-4 7.973565+1 8.781861-4 9.097141+1 8.801112-4 9.525148+1 8.825938-4 9.374955+1 8.885931-4 7.998466+1 8.911224-4 7.788574+1 8.984338-4 8.131078+1 9.006609-4 7.786378+1 9.035025-4 7.182831+1 9.097651-4 5.007670+1 9.117729-4 4.441351+1 9.138153-4 4.015383+1 9.164156-4 3.686747+1 9.204745-4 3.353382+1 1.078827-3 2.936979+1 1.145089-3 2.755006+1 1.155592-3 2.868107+1 1.169700-3 3.091986+1 1.212141-3 2.917336+1 1.239272-3 2.880796+1 1.259520-3 2.974519+1 1.394069-3 2.642037+1 1.436947-3 2.641290+1 1.693835-3 2.154093+1 1.975264-3 1.761230+1 2.297471-3 1.430054+1 2.638398-3 1.175326+1 3.005049-3 9.722631+0 3.445606-3 7.933771+0 3.971058-3 6.395199+0 4.507768-3 5.258568+0 5.219138-3 4.178220+0 5.572232-3 3.777458+0 5.611633-3 3.974563+0 5.634564-3 4.364181+0 5.656246-3 5.050232+0 5.677089-3 6.020770+0 5.724549-3 8.582400+0 5.747347-3 9.436355+0 5.775220-3 9.978485+0 5.835711-3 1.010845+1 6.046284-3 9.675226+0 6.093245-3 9.966630+0 6.158045-3 1.131142+1 6.200602-3 1.211273+1 6.253273-3 1.238332+1 6.432916-3 1.204834+1 6.586128-3 1.307933+1 7.967064-3 9.853758+0 9.192581-3 7.825575+0 1.050567-2 6.296476+0 1.198455-2 5.062363+0 1.366303-2 4.059540+0 1.558882-2 3.240380+0 1.754166-2 2.643448+0 1.972423-2 2.154483+0 2.213899-2 1.759099+0 2.484489-2 1.433506+0 2.798238-2 1.159315+0 3.133548-2 9.462305-1 3.494743-2 7.768497-1 3.930997-2 6.280208-1 3.960813-2 6.355600-1 3.976170-2 6.713437-1 3.987841-2 7.370606-1 3.997561-2 8.324523-1 4.008583-2 9.994347-1 4.018289-2 1.204559+0 4.032454-2 1.591954+0 4.065600-2 2.611191+0 4.083387-2 2.999010+0 4.105459-2 3.241689+0 4.140159-2 3.312692+0 4.813462-2 2.603682+0 5.479040-2 2.106288+0 6.170155-2 1.722320+0 7.004530-2 1.383332+0 7.898775-2 1.121815+0 8.984116-2 8.929935-1 1.007720-1 7.270093-1 1.140213-1 5.815855-1 1.262056-1 4.839018-1 1.407451-1 3.966388-1 1.566907-1 3.260879-1 1.747391-1 2.674343-1 1.960310-1 2.169704-1 2.178710-1 1.791850-1 2.406519-1 1.500003-1 2.700980-1 1.223712-1 3.007145-1 1.015466-1 3.341500-1 8.483672-2 3.760644-1 6.972489-2 4.267330-1 5.698098-2 4.786618-1 4.775868-2 5.379987-1 4.020366-2 6.195034-1 3.304155-2 6.978566-1 2.827139-2 8.035261-1 2.377270-2 9.015711-1 2.084910-2 1.070165+0 1.740408-2 1.286622+0 1.421867-2 1.477239+0 1.221841-2 1.776032+0 9.982114-3 2.135261+0 8.155120-3 2.567148+0 6.662515-3 3.086391+0 5.443096-3 3.710658+0 4.446864-3 4.461192+0 3.632969-3 5.363532+0 2.968038-3 6.448384+0 2.424808-3 7.752663+0 1.981003-3 9.320751+0 1.618426-3 9.760024+0 1.538668-3 1.000000+1 3.147628-3 1 58000 7 0 1.401200+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-5.727285+1 1.577545-6-5.472925+1 1.776319-6-5.131369+1 1.862720-6-4.735982+1 1.908282-6-4.268348+1 1.931367-6-3.784008+1 1.942162-6-3.367707+1 1.946594-6-3.054325+1 1.955876-6-2.414017+1 1.961265-6-1.984389+1 1.967103-6-1.594625+1 1.970846-6-1.452298+1 1.973466-6-1.445838+1 1.976235-6-1.519081+1 1.979155-6-1.721557+1 1.982598-6-2.125972+1 1.984619-6-2.457518+1 1.989147-6-3.357437+1 1.994422-6-4.655680+1 1.999312-6-5.771840+1 2.005449-6-4.601903+1 2.009924-6-4.091224+1 2.013362-6-3.914114+1 2.017774-6-3.917170+1 2.023243-6-4.229311+1 2.041140-6-5.774512+1 2.049378-6-4.998062+1 2.062663-6-3.899504+1 2.067805-6-3.318037+1 2.071462-6-2.712193+1 2.078955-6-1.747176+1 2.084685-6-8.731371+0 2.085600-6-7.201252+0 2.089779-6-1.838624+0 2.090097-6-1.317915+0 2.090694-6-6.053245-1 2.091738-6 3.507403-1 2.095509-6 2.875041+0 2.096623-6 3.092042+0 2.097459-6 3.024526+0 2.098712-6 2.639405+0 2.099966-6 2.026177+0 2.100602-6 1.612815+0 2.101717-6 5.290389-1 2.102552-6-5.164553-1 2.103179-6-1.429323+0 2.104119-6-3.019834+0 2.104589-6-3.930496+0 2.106333-6-7.916616+0 2.108004-6-1.219485+1 2.109347-6-1.627388+1 2.114239-6-3.514404+1 2.116605-6-4.677549+1 2.119129-6-5.776443+1 2.121857-6-4.336430+1 2.125336-6-2.710521+1 2.125901-6-2.397875+1 2.126985-6-1.914540+1 2.130527-6-5.225885+0 2.130741-6-4.273236+0 2.131156-6-2.700209+0 2.131935-6-9.833817-2 2.132616-6 1.944941+0 2.133807-6 5.136108+0 2.134701-6 7.264369+0 2.136042-6 1.009688+1 2.137382-6 1.258179+1 2.139357-6 1.550706+1 2.140970-6 1.720942+1 2.143086-6 1.854617+1 2.145128-6 1.869870+1 2.149628-6 1.586207+1 2.150901-6 1.437188+1 2.151538-6 1.345750+1 2.154881-6 9.624626+0 2.155438-6 8.857670+0 2.155995-6 7.899301+0 2.161089-6 6.692140-1 2.161561-6-1.222478-1 2.162445-6-1.338848+0 2.168640-6-8.577095+0 2.170617-6-1.124108+1 2.172161-6-1.401747+1 2.175152-6-1.752867+1 2.179059-6-2.088697+1 2.186874-6-2.573708+1 2.197293-6-3.020257+1 2.215526-6-3.531855+1 2.247157-6-4.052595+1 2.293657-6-4.483271+1 2.356444-6-4.854740+1 2.402059-6-4.769120+1 2.511695-6-5.122775+1 2.563291-6-5.038606+1 2.758030-6-5.264478+1 3.433626-6-5.610723+1 3.508810-6-5.744572+1 3.555431-6-5.297228+1 3.587071-6-5.140675+1 3.685354-6-5.386232+1 4.058107-6-5.532000+1 4.133644-6-5.424752+1 4.331427-6-5.502678+1 1.145742-5-5.803081+1 1.480000-5-5.408964+1 1.643433-5-4.913342+1 1.723812-5-4.421025+1 1.779531-5-3.819550+1 1.813720-5-3.212561+1 1.833660-5-2.692652+1 1.845932-5-2.269783+1 1.859163-5-1.675979+1 1.868027-5-1.157353+1 1.874212-5-7.098055+0 1.877163-5-4.624120+0 1.879377-5-2.587367+0 1.881037-5-9.382186-1 1.883528-5 1.778673+0 1.884773-5 3.281967+0 1.890660-5 1.145882+1 1.894142-5 1.688277+1 1.898784-5 2.575198+1 1.903426-5 3.714282+1 1.905659-5 4.473137+1 1.907120-5 5.102910+1 1.910771-5 6.187059+1 1.915399-5 7.480718+1 1.921703-5 9.247995+1 1.926682-5 1.009936+2 1.930899-5 9.982423+1 1.933811-5 9.368645+1 1.936812-5 8.223513+1 1.939175-5 6.896884+1 1.942661-5 4.239946+1 1.943984-5 3.063461+1 1.944664-5 2.329625+1 1.946451-5 5.109118+0 1.946898-5 3.876384-1 1.947233-5-3.276538+0 1.947484-5-6.119899+0 1.947862-5-1.061162+1 1.948144-5-1.431464+1 1.948456-5-1.889794+1 1.949489-5-3.132916+1 1.951964-5-5.962019+1 1.952911-5-4.720099+1 1.953269-5-4.188501+1 1.957621-5 8.890048+0 1.957709-5 1.022444+1 1.957882-5 1.248179+1 1.958532-5 1.986824+1 1.959636-5 3.080060+1 1.960538-5 3.889236+1 1.963656-5 6.514941+1 1.965897-5 7.969455+1 1.968857-5 9.300722+1 1.972063-5 1.016026+2 1.975171-5 1.040393+2 1.980492-5 9.453688+1 1.985770-5 7.688360+1 1.992427-5 5.317777+1 1.998012-5 3.687394+1 1.999615-5 3.103087+1 2.000203-5 2.806289+1 2.001465-5 2.360545+1 2.002496-5 2.061693+1 2.004043-5 1.671564+1 2.005589-5 1.329287+1 2.007180-5 1.013901+1 2.008572-5 7.621912+0 2.011007-5 3.652404+0 2.012834-5 9.728838-1 2.015574-5-2.661107+0 2.018366-5-5.971009+0 2.020710-5-8.504652+0 2.025047-5-1.269769+1 2.032688-5-1.890898+1 2.041956-5-2.504558+1 2.059383-5-3.409809+1 2.122384-5-5.996049+1 2.125845-5-5.895749+1 2.141548-5-4.936675+1 2.150536-5-4.161364+1 2.156180-5-3.475330+1 2.158350-5-3.057914+1 2.161840-5-2.487104+1 2.167407-5-1.709176+1 2.174047-5-5.753782+0 2.174379-5-5.027355+0 2.175001-5-3.945684+0 2.179359-5 2.378948+0 2.179740-5 3.087979+0 2.180456-5 4.013347+0 2.181709-5 5.173801+0 2.182648-5 5.810331+0 2.185940-5 7.589936+0 2.186857-5 7.681951+0 2.187716-5 7.482238+0 2.188522-5 7.096997+0 2.189277-5 6.579313+0 2.190693-5 5.226482+0 2.191932-5 3.647222+0 2.193016-5 1.963473+0 2.193965-5 2.541548-1 2.194795-5-1.428465+0 2.195522-5-3.050320+0 2.196157-5-4.589845+0 2.197269-5-7.575524+0 2.198104-5-1.008521+1 2.199198-5-1.380110+1 2.200430-5-1.885021+1 2.200772-5-2.066880+1 2.204471-5-3.762558+1 2.205960-5-4.614551+1 2.208584-5-6.091597+1 2.211122-5-4.598104+1 2.212125-5-3.912685+1 2.216180-5-1.599896+1 2.216742-5-1.197949+1 2.217129-5-9.566433+0 2.217492-5-7.495102+0 2.218173-5-3.888856+0 2.218768-5-9.334518-1 2.223743-5 2.160698+1 2.225613-5 2.815538+1 2.228714-5 3.622075+1 2.231720-5 4.155651+1 2.234659-5 4.467554+1 2.237730-5 4.552035+1 2.242519-5 4.197178+1 2.247832-5 3.426896+1 2.255764-5 2.028912+1 2.262203-5 1.094586+1 2.263813-5 8.122515+0 2.264735-5 5.879103+0 2.265459-5 4.503286+0 2.266726-5 2.514735+0 2.268626-5 3.161087-2 2.270526-5-2.085420+0 2.272669-5-4.169601+0 2.275846-5-6.837085+0 2.279038-5-9.146900+0 2.282524-5-1.131000+1 2.285828-5-1.304204+1 2.294118-5-1.653512+1 2.308977-5-2.118202+1 2.330310-5-2.589693+1 2.357780-5-3.013055+1 2.427922-5-3.717758+1 2.478864-5-3.978568+1 2.504640-5-3.909107+1 2.531235-5-3.864389+1 2.577121-5-4.006336+1 2.951930-5-4.308434+1 4.152084-5-4.657164+1 7.149400-5-5.245956+1 7.961724-5-5.573274+1 8.753603-5-4.994029+1 9.225714-5-4.350167+1 9.509452-5-3.709284+1 9.698375-5-3.067262+1 9.830400-5-2.440429+1 9.913078-5-1.927904+1 9.981801-5-1.398724+1 1.002076-4-1.043128+1 1.005499-4-6.879860+0 1.007052-4-5.113808+0 1.008508-4-3.358677+0 1.011239-4 2.270564-1 1.013627-4 3.731372+0 1.015736-4 7.164748+0 1.017547-4 1.040895+1 1.020547-4 1.653016+1 1.023783-4 2.447993+1 1.026656-4 3.319281+1 1.029657-4 4.488982+1 1.031882-4 5.645959+1 1.033483-4 6.756037+1 1.034392-4 7.657849+1 1.038942-4 1.104177+2 1.041805-4 1.351575+2 1.044907-4 1.571748+2 1.047375-4 1.655168+2 1.049289-4 1.612173+2 1.051501-4 1.451985+2 1.052860-4 1.284016+2 1.054782-4 9.413208+1 1.056575-4 5.466857+1 1.056958-4 4.464224+1 1.057252-4 3.590035+1 1.058064-4 1.617650+1 1.058742-4 2.494275-1 1.058960-4-5.023638+0 1.059247-4-1.223711+1 1.059546-4-2.057931+1 1.059755-4-2.743240+1 1.060276-4-4.080316+1 1.060983-4-5.669508+1 1.062090-4-3.227671+1 1.062388-4-2.448493+1 1.062750-4-1.682755+1 1.063071-4-1.079142+1 1.063362-4-5.719760+0 1.063616-4-1.534055+0 1.063839-4 1.963809+0 1.064229-4 7.770053+0 1.065544-4 2.588560+1 1.066086-4 3.205433+1 1.066793-4 3.844301+1 1.067859-4 4.530680+1 1.068805-4 4.874848+1 1.069793-4 4.926881+1 1.071273-4 4.426882+1 1.071930-4 3.995516+1 1.072411-4 3.522216+1 1.073759-4 2.532191+1 1.074164-4 2.176500+1 1.074518-4 1.775236+1 1.074648-4 1.563867+1 1.074802-4 1.376862+1 1.075091-4 1.082685+1 1.075343-4 8.530836+0 1.076228-4 1.176346+0 1.076671-4-2.623151+0 1.076892-4-4.747040+0 1.077058-4-6.618237+0 1.077153-4-8.060944+0 1.077231-4-9.014442+0 1.077525-4-1.184204+1 1.078025-4-1.557971+1 1.078586-4-1.899502+1 1.079599-4-2.459745+1 1.080012-4-2.705622+1 1.080651-4-2.901745+1 1.081661-4-3.001050+1 1.082602-4-2.916538+1 1.083571-4-2.673979+1 1.084518-4-2.290812+1 1.085223-4-1.899723+1 1.085986-4-1.361261+1 1.086519-4-9.022787+0 1.086773-4-6.532208+0 1.086964-4-4.505810+0 1.087107-4-2.876995+0 1.087321-4-1.978891-1 1.087428-4 1.304146+0 1.087482-4 2.130209+0 1.087618-4 4.525494+0 1.087777-4 6.842520+0 1.089415-4 2.813980+1 1.090069-4 3.817800+1 1.090255-4 4.201174+1 1.093492-4 8.978400+1 1.096578-4 1.242546+2 1.098615-4 1.374058+2 1.101304-4 1.449436+2 1.103447-4 1.424437+2 1.105918-4 1.321343+2 1.112966-4 9.071237+1 1.115906-4 7.517462+1 1.116790-4 6.885989+1 1.119132-4 5.816505+1 1.122188-4 4.821377+1 1.125577-4 3.982594+1 1.129492-4 3.229131+1 1.133783-4 2.572358+1 1.139364-4 1.885654+1 1.144987-4 1.322781+1 1.147228-4 1.126106+1 1.150824-4 8.401048+0 1.154251-4 5.965269+0 1.157820-4 3.690925+0 1.161277-4 1.705678+0 1.164461-4 5.482240-2 1.164734-4-8.513105-2 1.167290-4-1.306690+0 1.170041-4-2.528276+0 1.174285-4-4.260505+0 1.180011-4-6.315087+0 1.186524-4-8.318007+0 1.192000-4-9.796521+0 1.204120-4-1.246880+1 1.222762-4-1.542908+1 1.245505-4-1.790419+1 1.280598-4-2.045748+1 1.358946-4-2.414376+1 1.483812-4-2.791203+1 1.712500-4-3.216169+1 2.049107-4-3.629611+1 2.143924-4-3.605604+1 2.851894-4-3.672476+1 4.551191-4-3.455396+1 5.891571-4-3.507625+1 6.758971-4-3.719832+1 7.383545-4-4.049675+1 7.864320-4-4.547728+1 8.165371-4-5.146912+1 8.357044-4-5.853545+1 8.386892-4-5.887283+1 8.498966-4-5.401401+1 8.559345-4-4.828781+1 8.583054-4-4.383189+1 8.602614-4-3.933578+1 8.629267-4-3.359413+1 8.648781-4-2.887268+1 8.672806-4-2.376870+1 8.693721-4-2.176822+1 8.704538-4-2.210325+1 8.715657-4-2.364113+1 8.728665-4-2.680034+1 8.739956-4-3.080548+1 8.751245-4-3.656521+1 8.777179-4-5.349392+1 8.799546-4-7.146596+1 8.801921-4-7.341405+1 8.828555-4-5.748130+1 8.853654-4-4.770971+1 8.874584-4-4.278958+1 8.905010-4-4.058025+1 8.915886-4-4.020868+1 8.943419-4-3.689497+1 8.967852-4-3.125558+1 8.990311-4-2.298102+1 8.998297-4-1.993688+1 9.006609-4-1.739301+1 9.029412-4-1.112686+1 9.035025-4-9.190911+0 9.039444-4-8.005124+0 9.047175-4-6.371297+0 9.052974-4-5.392928+0 9.061673-4-4.228960+0 9.070371-4-3.451185+0 9.077191-4-3.047013+0 9.087421-4-2.786534+0 9.092536-4-2.856160+0 9.097651-4-3.186506+0 9.112709-4-4.403238+0 9.133242-4-7.027723+0 9.164156-4-1.152220+1 9.198274-4-1.540406+1 9.204745-4-1.657787+1 9.219958-4-1.831284+1 9.243236-4-1.997815+1 9.290527-4-2.204658+1 9.368176-4-2.385072+1 9.519041-4-2.515570+1 9.824139-4-2.507226+1 1.078827-3-2.190650+1 1.123999-3-2.151700+1 1.140077-3-2.210926+1 1.155592-3-2.335082+1 1.164080-3-2.283640+1 1.178973-3-2.017302+1 1.198809-3-1.914618+1 1.232868-3-1.849895+1 1.247428-3-1.846652+1 1.273102-3-1.640090+1 1.333201-3-1.442378+1 1.383316-3-1.355408+1 1.408165-3-1.334937+1 1.457997-3-1.151205+1 1.525325-3-9.922539+0 1.621810-3-8.325563+0 1.737801-3-6.997850+0 1.874017-3-5.921239+0 2.031106-3-5.107473+0 2.211840-3-4.571769+0 2.461479-3-4.237521+0 2.725642-3-4.198342+0 3.295762-3-4.408617+0 3.796794-3-4.853474+0 4.338541-3-5.627991+0 4.801713-3-6.623926+0 5.136419-3-7.731957+0 5.351031-3-8.849269+0 5.489147-3-9.999128+0 5.572232-3-1.116047+1 5.626321-3-1.251066+1 5.688554-3-1.448476+1 5.724549-3-1.469860+1 5.765886-3-1.373675+1 5.835711-3-1.178033+1 5.901501-3-1.086225+1 5.992688-3-1.037891+1 6.064356-3-1.054818+1 6.143218-3-1.119488+1 6.185194-3-1.100722+1 6.297134-3-9.146524+0 6.377929-3-8.469710+0 6.505332-3-8.232682+0 6.561873-3-7.680440+0 6.647974-3-6.597447+0 6.759581-3-5.674219+0 6.921055-3-4.760146+0 7.115759-3-3.950029+0 7.334520-3-3.245593+0 7.608325-3-2.576339+0 7.904740-3-2.024252+0 8.151734-3-1.660554+0 8.389769-3-1.372241+0 8.746441-3-1.028347+0 9.093896-3-7.741479-1 9.397627-3-6.021311-1 9.643295-3-4.883503-1 9.849587-3-4.058617-1 1.007731-2-3.274099-1 1.028607-2-2.663388-1 1.055321-2-2.005527-1 1.076130-2-1.576288-1 1.100352-2-1.154292-1 1.125060-2-7.840470-2 1.135065-2-6.532908-2 1.159938-2-3.912613-2 1.182149-2-2.216590-2 1.194944-2-1.369546-2 1.211277-2-3.921226-3 1.213782-2-2.647333-3 1.216425-2-1.242667-3 1.223817-2 1.716641-3 1.232675-2 5.392123-3 1.242454-2 8.754586-3 1.268509-2 1.302710-2 1.299422-2 1.605616-2 1.318344-2 1.649398-2 1.333062-2 1.538651-2 1.358919-2 1.218186-2 1.380384-2 6.308698-3 1.392391-2 2.595784-3 1.404074-2-1.282414-3 1.411982-2-3.808962-3 1.428894-2-9.663749-3 1.442781-2-1.516038-2 1.473929-2-2.832462-2 1.512771-2-4.756040-2 1.558882-2-7.379550-2 1.606132-2-1.025964-1 1.754166-2-2.028612-1 2.904308-2-1.052117+0 3.231283-2-1.341265+0 3.494743-2-1.651368+0 3.673687-2-1.957951+0 3.794533-2-2.270075+0 3.871651-2-2.572248+0 3.930997-2-2.940793+0 3.966581-2-3.318427+0 4.028430-2-4.363002+0 4.048127-2-4.444678+0 4.069633-2-4.219724+0 4.118659-2-3.267285+0 4.150548-2-2.835310+0 4.193905-2-2.456704+0 4.256493-2-2.092793+0 4.342540-2-1.750297+0 4.447452-2-1.451303+0 4.581802-2-1.173954+0 4.740698-2-9.383430-1 4.905973-2-7.586594-1 5.070714-2-6.230248-1 5.196038-2-5.383573-1 5.400772-2-4.256776-1 5.599686-2-3.402615-1 5.734188-2-2.940566-1 5.886852-2-2.500151-1 6.023975-2-2.169334-1 6.170155-2-1.866869-1 6.331461-2-1.583637-1 6.472823-2-1.383949-1 6.660690-2-1.162129-1 6.820845-2-1.014846-1 7.004530-2-8.747406-2 7.202020-2-7.557180-2 7.507444-2-6.310299-2 7.693213-2-5.735384-2 7.898775-2-5.313014-2 8.321164-2-5.030413-2 8.769377-2-5.272490-2 9.014926-2-5.521882-2 9.653977-2-6.530146-2 1.068872-1-8.839801-2 1.407451-1-1.681704-1 1.676993-1-2.190690-1 2.030747-1-2.684250-1 2.499968-1-3.130375-1 3.240014-1-3.552868-1 4.441621-1-3.900280-1 6.683439-1-4.155148-1 1.286622+0-4.311002-1 3.885536+0-4.365771-1 1.000000+1-4.370328-1 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.044945-1 1.053842-6 3.993550-1 1.083270-6 4.621464-1 1.111778-6 5.317839-1 1.139396-6 6.087339-1 1.166150-6 6.934749-1 1.192069-6 7.865029-1 1.217177-6 8.883317-1 1.241501-6 9.994930-1 1.265065-6 1.120537+0 1.287893-6 1.252033+0 1.310007-6 1.394567+0 1.331430-6 1.548748+0 1.352183-6 1.715202+0 1.372288-6 1.894573+0 1.391765-6 2.087528+0 1.428911-6 2.516946+0 1.463772-6 3.009168+0 1.496489-6 3.570216+0 1.527192-6 4.206494+0 1.541828-6 4.555806+0 1.556007-6 4.928991+0 1.583478-6 5.754625+0 1.609232-6 6.675465+0 1.633376-6 7.703156+0 1.656011-6 8.845835+0 1.677232-6 1.011173+1 1.697127-6 1.150924+1 1.715778-6 1.304689+1 1.733263-6 1.473331+1 1.749655-6 1.657716+1 1.765023-6 1.858712+1 1.779431-6 2.077186+1 1.792938-6 2.313995+1 1.805600-6 2.569985+1 1.817472-6 2.845988+1 1.828601-6 3.142815+1 1.839035-6 3.461257+1 1.848817-6 3.802079+1 1.857987-6 4.166020+1 1.866584-6 4.553790+1 1.874644-6 4.966071+1 1.882200-6 5.403523+1 1.889284-6 5.866785+1 1.895925-6 6.356498+1 1.902151-6 6.873316+1 1.907988-6 7.417909+1 1.913460-6 7.990948+1 1.918591-6 8.593095+1 1.923400-6 9.225014+1 1.927909-6 9.887427+1 1.932136-6 1.058120+2 1.936099-6 1.130747+2 1.943529-6 1.291996+2 1.950031-6 1.469547+2 1.955720-6 1.665332+2 1.960698-6 1.880618+2 1.965053-6 2.115125+2 1.968864-6 2.366600+2 1.972199-6 2.631015+2 1.975117-6 2.903184+2 1.977670-6 3.177522+2 1.979904-6 3.448705+2 1.981859-6 3.712117+2 1.985280-6 4.237281+2 1.997000-6 6.740826+2 2.000454-6 7.692033+2 2.002910-6 8.420488+2 2.005366-6 9.185248+2 2.010278-6 1.078817+3 2.010892-6 1.099205+3 2.015189-6 1.240987+3 2.016878-6 1.295095+3 2.020101-6 1.393212+3 2.021790-6 1.440842+3 2.023401-6 1.483223+3 2.025013-6 1.522112+3 2.027162-6 1.567748+3 2.029234-6 1.604176+3 2.031153-6 1.630570+3 2.032764-6 1.646886+3 2.034836-6 1.659577+3 2.037599-6 1.661399+3 2.039902-6 1.649463+3 2.040757-6 1.641918+3 2.042708-6 1.618482+3 2.044888-6 1.582397+3 2.047208-6 1.533149+3 2.049530-6 1.473638+3 2.051277-6 1.422815+3 2.054637-6 1.312961+3 2.056594-6 1.243114+3 2.057819-6 1.197708+3 2.059702-6 1.126135+3 2.061663-6 1.050109+3 2.063811-6 9.661942+2 2.065535-6 8.992180+2 2.067665-6 8.178687+2 2.069219-6 7.600481+2 2.071675-6 6.723289+2 2.074131-6 5.902107+2 2.075589-6 5.445578+2 2.078827-6 4.525665+2 2.084405-6 3.281087+2 2.085939-6 3.020269+2 2.087402-6 2.805310+2 2.088866-6 2.624049+2 2.090017-6 2.505437+2 2.091258-6 2.401413+2 2.092301-6 2.333356+2 2.093381-6 2.281606+2 2.094402-6 2.250443+2 2.095330-6 2.237185+2 2.096234-6 2.238242+2 2.097109-6 2.252540+2 2.097964-6 2.279259+2 2.098792-6 2.317311+2 2.111631-6 4.600248+2 2.116943-6 6.645109+2 2.120236-6 8.307247+2 2.122683-6 9.758026+2 2.125543-6 1.170029+3 2.128140-6 1.370487+3 2.129698-6 1.502009+3 2.132313-6 1.741766+3 2.134927-6 2.005168+3 2.140483-6 2.638360+3 2.141096-6 2.713718+3 2.145712-6 3.309445+3 2.147397-6 3.536524+3 2.150614-6 3.977678+3 2.153270-6 4.343235+3 2.155844-6 4.692286+3 2.158499-6 5.040301+3 2.161073-6 5.359262+3 2.163360-6 5.622393+3 2.165888-6 5.885411+3 2.166629-6 5.956184+3 2.169693-6 6.215042+3 2.172085-6 6.375494+3 2.174833-6 6.510472+3 2.177215-6 6.582484+3 2.178776-6 6.606421+3 2.181186-6 6.606932+3 2.183582-6 6.564061+3 2.187545-6 6.402229+3 2.190034-6 6.246861+3 2.192447-6 6.060938+3 2.195103-6 5.821066+3 2.197676-6 5.558862+3 2.199964-6 5.306015+3 2.202170-6 5.048667+3 2.205520-6 4.640924+3 2.208135-6 4.315543+3 2.211076-6 3.949453+3 2.213364-6 3.668965+3 2.218593-6 3.057325+3 2.220390-6 2.860062+3 2.223822-6 2.505995+3 2.228397-6 2.084410+3 2.234091-6 1.644030+3 2.242825-6 1.139806+3 2.245298-6 1.030142+3 2.247763-6 9.334174+2 2.250217-6 8.483289+2 2.252662-6 7.736162+2 2.255097-6 7.080854+2 2.257523-6 6.506255+2 2.262356-6 5.557786+2 2.267151-6 4.823328+2 2.271909-6 4.247911+2 2.276629-6 3.790014+2 2.281312-6 3.419133+2 2.285959-6 3.113270+2 2.290570-6 2.856708+2 2.295145-6 2.638223+2 2.299683-6 2.449728+2 2.304187-6 2.285306+2 2.308655-6 2.140546+2 2.317522-6 1.896458+2 2.326250-6 1.699584+2 2.334841-6 1.537594+2 2.343299-6 1.402174+2 2.351624-6 1.287488+2 2.359819-6 1.189295+2 2.367887-6 1.104429+2 2.375828-6 1.030470+2 2.383645-6 9.655301+1 2.391340-6 9.081089+1 2.406489-6 8.105565+1 2.421165-6 7.316926+1 2.435382-6 6.667973+1 2.449155-6 6.126409+1 2.462498-6 5.668977+1 2.475423-6 5.278544+1 2.487945-6 4.942217+1 2.500075-6 4.649897+1 2.523578-6 4.159681+1 2.545612-6 3.772802+1 2.566269-6 3.461365+1 2.585634-6 3.206534+1 2.603789-6 2.995104+1 2.620810-6 2.817445+1 2.652723-6 2.526902+1 2.680648-6 2.309287+1 2.705082-6 2.142680+1 2.747841-6 1.891134+1 2.883197-6 1.306879+1 2.918593-6 1.183619+1 2.946910-6 1.088414+1 2.968148-6 1.016942+1 2.982306-6 9.683415+0 2.996464-6 9.181723+0 3.005479-6 8.849611+0 3.012840-6 8.568163+0 3.020202-6 8.274790+0 3.027563-6 7.966380+0 3.034925-6 7.639358+0 3.042286-6 7.290107+0 3.049647-6 6.915880+0 3.057009-6 6.516384+0 3.064370-6 6.096055+0 3.071731-6 5.666828+0 3.083445-6 5.024718+0 3.088748-6 4.784888+0 3.090410-6 4.720585+0 3.095398-6 4.568288+0 3.099198-6 4.501966+0 3.102048-6 4.486158+0 3.102998-6 4.488062+0 3.110598-6 4.650712+0 3.111548-6 4.691230+0 3.118199-6 5.115035+0 3.121123-6 5.382886+0 3.125799-6 5.917921+0 3.129238-6 6.394543+0 3.134755-6 7.298746+0 3.144028-6 9.143586+0 3.148600-6 1.015767+1 3.152875-6 1.113539+1 3.156675-6 1.200706+1 3.158456-6 1.241089+1 3.161128-6 1.300527+1 3.164275-6 1.368001+1 3.171400-6 1.505644+1 3.174013-6 1.549304+1 3.179000-6 1.620353+1 3.181613-6 1.650542+1 3.184107-6 1.674588+1 3.186601-6 1.693856+1 3.188501-6 1.705294+1 3.191351-6 1.717196+1 3.194201-6 1.722867+1 3.198001-6 1.721043+1 3.201801-6 1.709080+1 3.207501-6 1.674006+1 3.209401-6 1.658255+1 3.215101-6 1.600798+1 3.217002-6 1.578732+1 3.224602-6 1.479781+1 3.226502-6 1.453061+1 3.232202-6 1.370153+1 3.239802-6 1.257094+1 3.243968-6 1.195662+1 3.285179-6 7.018254+0 3.287201-6 6.850885+0 3.293266-6 6.406796+0 3.299330-6 6.060876+0 3.301352-6 5.970054+0 3.309438-6 5.744768+0 3.311459-6 5.725689+0 3.317524-6 5.765196+0 3.320303-6 5.833520+0 3.325610-6 6.053465+0 3.328389-6 6.215275+0 3.331043-6 6.398845+0 3.333696-6 6.609822+0 3.337233-6 6.931302+0 3.341782-6 7.405443+0 3.355932-6 9.177506+0 3.358965-6 9.582282+0 3.365156-6 1.039199+1 3.367051-6 1.062966+1 3.374126-6 1.144427+1 3.376906-6 1.172381+1 3.382212-6 1.217845+1 3.384234-6 1.232154+1 3.387266-6 1.250276+1 3.390298-6 1.264243+1 3.392320-6 1.271194+1 3.395352-6 1.278053+1 3.398384-6 1.280652+1 3.402427-6 1.277640+1 3.406470-6 1.267559+1 3.412535-6 1.240324+1 3.414556-6 1.228335+1 3.420621-6 1.184905+1 3.422642-6 1.168260+1 3.430728-6 1.093416+1 3.434771-6 1.052326+1 3.438814-6 1.009694+1 3.446901-6 9.220974+0 3.452150-6 8.649884+0 3.457162-6 8.111529+0 3.462173-6 7.584793+0 3.471874-6 6.611140+0 3.479216-6 5.924636+0 3.496859-6 4.520678+0 3.503870-6 4.100892+0 3.506208-6 3.985130+0 3.512648-6 3.742536+0 3.514795-6 3.690169+0 3.521236-6 3.634776+0 3.523383-6 3.654345+0 3.525952-6 3.705652+0 3.527878-6 3.765334+0 3.529706-6 3.839741+0 3.531971-6 3.957090+0 3.534472-6 4.120731+0 3.535899-6 4.230838+0 3.545890-6 5.371128+0 3.548341-6 5.756225+0 3.556040-6 7.251508+0 3.565606-6 9.714566+0 3.570541-6 1.123132+1 3.575360-6 1.285431+1 3.579993-6 1.452541+1 3.583498-6 1.584633+1 3.588463-6 1.777448+1 3.592622-6 1.941507+1 3.596648-6 2.099895+1 3.600673-6 2.255469+1 3.604256-6 2.389565+1 3.607042-6 2.489895+1 3.615564-6 2.766883+1 3.616629-6 2.797667+1 3.624085-6 2.984402+1 3.628294-6 3.065466+1 3.631660-6 3.116702+1 3.635025-6 3.155557+1 3.639050-6 3.185664+1 3.642338-6 3.197159+1 3.644803-6 3.198239+1 3.648502-6 3.188187+1 3.652200-6 3.164862+1 3.657146-6 3.114694+1 3.658795-6 3.093576+1 3.665309-6 2.991627+1 3.667480-6 2.951960+1 3.676165-6 2.772447+1 3.684850-6 2.572775+1 3.693535-6 2.368620+1 3.711512-6 1.980136+1 3.718749-6 1.846924+1 3.725760-6 1.732564+1 3.732552-6 1.635327+1 3.739131-6 1.553026+1 3.751879-6 1.422511+1 3.763830-6 1.327843+1 3.775034-6 1.256902+1 3.796042-6 1.154643+1 3.814424-6 1.085837+1 3.830508-6 1.035528+1 3.858655-6 9.618211+0 3.952840-6 7.730376+0 3.972251-6 7.357987+0 3.981957-6 7.161604+0 3.991662-6 6.955018+0 4.001368-6 6.736233+0 4.011073-6 6.504655+0 4.027264-6 6.096730+0 4.047213-6 5.608650+0 4.049896-6 5.550713+0 4.059666-6 5.370507+0 4.067136-6 5.277073+0 4.077098-6 5.234211+0 4.079589-6 5.240784+0 4.087060-6 5.307401+0 4.089901-6 5.352216+0 4.096000-6 5.486268+0 4.101018-6 5.635588+0 4.105559-6 5.800506+0 4.111518-6 6.057560+0 4.119181-6 6.447903+0 4.139019-6 7.650461+0 4.146830-6 8.135395+0 4.149320-6 8.284301+0 4.158290-6 8.780707+0 4.160911-6 8.910731+0 4.168776-6 9.249638+0 4.171606-6 9.350841+0 4.176559-6 9.499416+0 4.180273-6 9.586269+0 4.185845-6 9.676514+0 4.191416-6 9.719361+0 4.198534-6 9.708617+0 4.206600-6 9.616473+0 4.216562-6 9.406030+0 4.228291-6 9.060204+0 4.242008-6 8.582168+0 4.283773-6 7.145729+0 4.297385-6 6.763684+0 4.309380-6 6.476529+0 4.318540-6 6.293427+0 4.329118-6 6.127176+0 4.339695-6 6.015832+0 4.345648-6 5.979389+0 4.351600-6 5.962492+0 4.357876-6 5.965789+0 4.367291-6 6.009492+0 4.376706-6 6.094090+0 4.388542-6 6.242828+0 4.404470-6 6.472327+0 4.415311-6 6.614228+0 4.426152-6 6.721130+0 4.431667-6 6.757463+0 4.439940-6 6.786287+0 4.448214-6 6.783897+0 4.457150-6 6.748805+0 4.467566-6 6.673160+0 4.488979-6 6.455949+0 4.508935-6 6.264729+0 4.524666-6 6.163358+0 4.535588-6 6.122097+0 4.546510-6 6.100090+0 4.591556-6 6.069090+0 4.623022-6 6.005798+0 4.664118-6 5.899899+0 4.788001-6 5.638238+0 4.902743-6 5.332529+0 5.169777-6 4.853542+0 5.385797-6 4.494185+0 5.444243-6 4.397664+0 5.533103-6 4.245807+0 5.623413-6 4.085695+0 5.739260-6 3.872058+0 5.767999-6 3.839794+0 5.785483-6 3.830820+0 5.824648-6 3.837187+0 5.867135-6 3.853975+0 5.883476-6 3.852663+0 5.907535-6 3.837664+0 5.935580-6 3.801307+0 5.977649-6 3.722984+0 6.126563-6 3.432626+0 6.171581-6 3.368631+0 6.196431-6 3.345589+0 6.279153-6 3.307871+0 6.321639-6 3.278634+0 6.437260-6 3.160364+0 6.499750-6 3.079731+0 6.630206-6 2.884168+0 6.727229-6 2.771444+0 6.809719-6 2.697643+0 6.860539-6 2.657357+0 6.922160-6 2.597879+0 7.177830-6 2.324452+0 7.383912-6 2.117170+0 7.493087-6 2.014850+0 7.633719-6 1.877933+0 7.814555-6 1.710941+0 8.000645-6 1.545495+0 8.102028-6 1.457467+0 8.240997-6 1.339302+0 8.413951-6 1.195475+0 8.627270-6 1.027119+0 8.750580-6 9.346178-1 8.964407-6 7.806090-1 9.168476-6 6.424079-1 9.350000-6 5.283343-1 9.600000-6 3.852536-1 9.772372-6 2.959579-1 9.847401-6 2.604575-1 1.005626-5 1.719551-1 1.024245-5 1.069064-1 1.043077-5 5.628089-2 1.061320-5 2.311987-2 1.078993-5 6.915617-3 1.080000-5 6.494762-3 1.083927-5 5.448697-3 1.087553-5 5.359333-3 1.095980-5 8.492892-3 1.104275-5 1.615311-2 1.114250-5 3.155061-2 1.120478-5 4.473168-2 1.132285-5 7.550450-2 1.146143-5 1.003331-1 1.147082-5 1.005685-1 1.160069-5 8.463540-2 1.167363-5 6.796463-2 1.177750-5 4.542397-2 1.181610-5 3.816280-2 1.188567-5 2.690768-2 1.195415-5 1.828752-2 1.202156-5 1.230619-2 1.215000-5 8.045454-3 1.215428-5 8.070081-3 1.228285-5 1.415974-2 1.240741-5 3.065976-2 1.252807-5 5.765672-2 1.264496-5 9.520639-2 1.275820-5 1.433367-1 1.286790-5 2.021057-1 1.297417-5 2.718180-1 1.307712-5 3.527461-1 1.327658-5 5.484240-1 1.346358-5 7.839837-1 1.363889-5 1.058114+0 1.380325-5 1.368788+0 1.395733-5 1.715088+0 1.412538-5 2.161164+0 1.423721-5 2.502933+0 1.437358-5 2.975518+0 1.450464-5 3.494334+0 1.459478-5 3.892674+0 1.480400-5 4.956786+0 1.501052-5 6.222393+0 1.531087-5 8.540285+0 1.611012-5 1.910573+1 1.646878-5 2.720374+1 1.662896-5 3.188361+1 1.680075-5 3.784016+1 1.694930-5 4.393995+1 1.708810-5 5.061915+1 1.721125-5 5.750504+1 1.733440-5 6.547481+1 1.745755-5 7.473088+1 1.760639-5 8.797776+1 1.772007-5 9.994919+1 1.780220-5 1.098181+2 1.789102-5 1.218559+2 1.797429-5 1.346451+2 1.805235-5 1.481811+2 1.812554-5 1.624530+2 1.819415-5 1.774416+2 1.826788-5 1.955574+2 1.836382-5 2.228270+2 1.842832-5 2.439581+2 1.852770-5 2.819315+2 1.861465-5 3.218334+2 1.869074-5 3.632272+2 1.875731-5 4.056394+2 1.881557-5 4.485736+2 1.887598-5 5.001204+2 1.891114-5 5.340434+2 1.895016-5 5.756713+2 1.901846-5 6.606539+2 1.907722-5 7.493959+2 1.910810-5 8.033741+2 1.916572-5 9.214052+2 1.922334-5 1.068942+3 1.927066-5 1.220405+3 1.931797-5 1.409413+3 1.936529-5 1.649565+3 1.938895-5 1.794461+3 1.941261-5 1.959685+3 1.943626-5 2.148627+3 1.945992-5 2.365161+3 1.948358-5 2.613665+3 1.950724-5 2.899027+3 1.954209-5 3.398072+3 1.955371-5 3.588039+3 1.960187-5 4.523106+3 1.968606-5 6.862829+3 1.973419-5 8.691982+3 1.977535-5 1.057539+4 1.981144-5 1.247435+4 1.983707-5 1.395912+4 1.986878-5 1.594019+4 1.991135-5 1.880941+4 1.992807-5 1.998626+4 1.996000-5 2.227789+4 1.998994-5 2.443932+4 2.000445-5 2.547565+4 2.002597-5 2.698235+4 2.005065-5 2.863886+4 2.007726-5 3.030381+4 2.010088-5 3.164408+4 2.012271-5 3.274188+4 2.013606-5 3.333716+4 2.016126-5 3.428753+4 2.017232-5 3.462771+4 2.019727-5 3.521072+4 2.021866-5 3.549798+4 2.024306-5 3.557813+4 2.026237-5 3.545283+4 2.031040-5 3.443474+4 2.033201-5 3.366680+4 2.036152-5 3.234077+4 2.038505-5 3.108159+4 2.040483-5 2.990417+4 2.042600-5 2.854475+4 2.044977-5 2.692131+4 2.046962-5 2.550792+4 2.049515-5 2.364353+4 2.051948-5 2.184736+4 2.054380-5 2.006075+4 2.057117-5 1.809346+4 2.059245-5 1.661342+4 2.064110-5 1.345976+4 2.065782-5 1.246297+4 2.068975-5 1.069793+4 2.072624-5 8.910819+3 2.076432-5 7.307260+3 2.081423-5 5.587584+3 2.092423-5 3.069637+3 2.094995-5 2.677237+3 2.097567-5 2.341203+3 2.100139-5 2.053845+3 2.102744-5 1.805282+3 2.105283-5 1.597987+3 2.107855-5 1.417778+3 2.110427-5 1.262808+3 2.113095-5 1.124359+3 2.115570-5 1.012933+3 2.118271-5 9.069895+2 2.123446-5 7.399268+2 2.127224-5 6.410671+2 2.136146-5 4.611427+2 2.141290-5 3.818182+2 2.146434-5 3.153366+2 2.151578-5 2.591028+2 2.156722-5 2.112651+2 2.161866-5 1.704831+2 2.177297-5 8.208897+1 2.182441-5 6.233458+1 2.187463-5 4.742365+1 2.189371-5 4.290444+1 2.195905-5 3.255239+1 2.198027-5 3.105953+1 2.199088-5 3.069845+1 2.200149-5 3.061103+1 2.202844-5 3.172333+1 2.204191-5 3.306800+1 2.205201-5 3.445733+1 2.205538-5 3.499713+1 2.206506-5 3.677356+1 2.207611-5 3.923035+1 2.209295-5 4.393112+1 2.210519-5 4.814513+1 2.210927-5 4.971094+1 2.213621-5 6.230040+1 2.214968-5 7.022752+1 2.216316-5 7.939492+1 2.219010-5 1.019796+2 2.224399-5 1.686077+2 2.227093-5 2.157273+2 2.228441-5 2.435340+2 2.230461-5 2.912880+2 2.232482-5 3.471512+2 2.235419-5 4.449335+2 2.237307-5 5.195905+2 2.239195-5 6.046297+2 2.241228-5 7.089446+2 2.244209-5 8.885466+2 2.246537-5 1.053202+3 2.249010-5 1.253818+3 2.251021-5 1.438025+3 2.261929-5 2.805021+3 2.267469-5 3.748137+3 2.268464-5 3.934356+3 2.273355-5 4.913200+3 2.275141-5 5.292818+3 2.279001-5 6.141063+3 2.281469-5 6.693762+3 2.282913-5 7.017444+3 2.285282-5 7.543974+3 2.287836-5 8.098062+3 2.290104-5 8.570767+3 2.292610-5 9.063655+3 2.295117-5 9.517325+3 2.297419-5 9.892367+3 2.300336-5 1.030090+4 2.302959-5 1.059717+4 2.305547-5 1.081755+4 2.308011-5 1.095740+4 2.309788-5 1.101486+4 2.312530-5 1.103158+4 2.314995-5 1.097301+4 2.318835-5 1.074900+4 2.321495-5 1.050574+4 2.323052-5 1.033304+4 2.325607-5 1.000603+4 2.328475-5 9.582366+3 2.330871-5 9.190699+3 2.333951-5 8.648301+3 2.336869-5 8.106334+3 2.339491-5 7.606204+3 2.342927-5 6.945788+3 2.345031-5 6.544816+3 2.351344-5 5.393580+3 2.361212-5 3.857052+3 2.372225-5 2.611829+3 2.375286-5 2.350023+3 2.378347-5 2.120512+3 2.383038-5 1.824668+3 2.386432-5 1.647395+3 2.391629-5 1.425391+3 2.394227-5 1.333232+3 2.396988-5 1.246822+3 2.400822-5 1.143556+3 2.403092-5 1.090208+3 2.406760-5 1.014226+3 2.410594-5 9.460380+2 2.414099-5 8.918682+2 2.419368-5 8.220889+2 2.425459-5 7.548595+2 2.431595-5 6.980124+2 2.437427-5 6.516592+2 2.445225-5 5.985819+2 2.453626-5 5.500159+2 2.459168-5 5.217605+2 2.473322-5 4.597264+2 2.484839-5 4.174005+2 2.497748-5 3.768513+2 2.509829-5 3.450009+2 2.516525-5 3.298751+2 2.528687-5 3.070496+2 2.534672-5 2.980284+2 2.540973-5 2.901218+2 2.553033-5 2.796303+2 2.557893-5 2.771550+2 2.564348-5 2.753947+2 2.569645-5 2.751637+2 2.577893-5 2.765883+2 2.595325-5 2.825108+2 2.604403-5 2.841882+2 2.608832-5 2.841456+2 2.613007-5 2.835198+2 2.619279-5 2.815409+2 2.623870-5 2.793973+2 2.630064-5 2.758060+2 2.654590-5 2.596901+2 2.668869-5 2.522572+2 2.683752-5 2.462374+2 2.717615-5 2.353184+2 2.793328-5 2.141996+2 2.857237-5 1.994623+2 2.933776-5 1.852451+2 3.001046-5 1.748935+2 3.095431-5 1.629106+2 3.164044-5 1.554365+2 3.266670-5 1.459849+2 3.369863-5 1.378857+2 3.489295-5 1.297564+2 3.600945-5 1.232377+2 3.981474-5 1.056100+2 4.039842-5 1.040560+2 4.098950-5 1.024516+2 4.157476-5 1.002168+2 4.321244-5 9.530460+1 4.691363-5 8.612156+1 5.219359-5 7.602830+1 5.579079-5 6.998490+1 6.036445-5 6.289925+1 6.309573-5 5.865140+1 6.561000-5 5.463490+1 6.760830-5 5.125967+1 7.006799-5 4.690029+1 7.208235-5 4.315737+1 7.393128-5 3.956159+1 7.567333-5 3.607337+1 7.673615-5 3.390311+1 7.800000-5 3.128257+1 7.863344-5 2.996223+1 7.955912-5 2.803257+1 8.089025-5 2.527668+1 8.173873-5 2.353994+1 8.270105-5 2.161132+1 8.413951-5 1.897710+1 8.496604-5 1.819264+1 8.517011-5 1.820076+1 8.592647-5 1.903345+1 8.661746-5 2.061920+1 8.728836-5 2.259839+1 8.793846-5 2.485581+1 8.869671-5 2.794210+1 8.947689-5 3.170024+1 9.018955-5 3.573825+1 9.083099-5 3.995126+1 9.118294-5 4.252724+1 9.188767-5 4.832170+1 9.225714-5 5.173582+1 9.321903-5 6.205437+1 9.368892-5 6.796716+1 9.439438-5 7.810779+1 9.501230-5 8.843261+1 9.582706-5 1.045741+2 9.621545-5 1.134737+2 9.679836-5 1.285467+2 9.730929-5 1.436999+2 9.798274-5 1.669752+2 9.861475-5 1.929663+2 9.891602-5 2.070368+2 9.959714-5 2.436382+2 1.000470-4 2.721251+2 1.005600-4 3.097481+2 1.011310-4 3.594846+2 1.014919-4 3.961104+2 1.019146-4 4.452244+2 1.023293-4 5.011955+2 1.027677-4 5.705997+2 1.030307-4 6.183054+2 1.033994-4 6.943789+2 1.036800-4 7.607799+2 1.040236-4 8.542343+2 1.042852-4 9.361364+2 1.044717-4 1.001252+3 1.047082-4 1.093211+3 1.049299-4 1.190580+3 1.051378-4 1.293481+3 1.053326-4 1.402054+3 1.055153-4 1.516458+3 1.056865-4 1.636878+3 1.058471-4 1.763513+3 1.061481-4 2.046125+3 1.064116-4 2.357586+3 1.066420-4 2.697944+3 1.068437-4 3.065149+3 1.070202-4 3.454864+3 1.071746-4 3.860872+3 1.073097-4 4.275838+3 1.074279-4 4.692163+3 1.075313-4 5.102699+3 1.077124-4 5.939998+3 1.079500-4 7.308087+3 1.085350-4 1.233474+4 1.087341-4 1.467228+4 1.087883-4 1.536680+4 1.090966-4 1.976188+4 1.091993-4 2.138135+4 1.094668-4 2.587157+4 1.095002-4 2.645314+4 1.097342-4 3.057192+4 1.098262-4 3.218301+4 1.100035-4 3.520552+4 1.100806-4 3.646291+4 1.102149-4 3.853165+4 1.103177-4 3.998640+4 1.104021-4 4.108009+4 1.105119-4 4.234781+4 1.106181-4 4.338847+4 1.107664-4 4.450054+4 1.108208-4 4.480187+4 1.109775-4 4.533473+4 1.110961-4 4.539776+4 1.112593-4 4.500394+4 1.113838-4 4.434065+4 1.114907-4 4.353585+4 1.116209-4 4.228887+4 1.117579-4 4.069864+4 1.119038-4 3.875425+4 1.120586-4 3.649010+4 1.122297-4 3.385768+4 1.124254-4 3.084848+4 1.126984-4 2.699053+4 1.128526-4 2.513236+4 1.129576-4 2.404098+4 1.130742-4 2.301341+4 1.131984-4 2.214496+4 1.133029-4 2.159969+4 1.134217-4 2.118479+4 1.135239-4 2.099777+4 1.136105-4 2.095583+4 1.137237-4 2.105030+4 1.138208-4 2.125329+4 1.139473-4 2.166189+4 1.141077-4 2.236494+4 1.144991-4 2.448621+4 1.147010-4 2.552549+4 1.147306-4 2.566284+4 1.150205-4 2.669187+4 1.151205-4 2.688665+4 1.153248-4 2.698715+4 1.154290-4 2.687817+4 1.155167-4 2.670256+4 1.155883-4 2.650311+4 1.156805-4 2.617433+4 1.157702-4 2.578071+4 1.158580-4 2.532913+4 1.159310-4 2.490737+4 1.160826-4 2.391141+4 1.161234-4 2.361901+4 1.162805-4 2.241249+4 1.164409-4 2.107791+4 1.166001-4 1.968943+4 1.166471-4 1.927282+4 1.169216-4 1.683680+4 1.169816-4 1.631250+4 1.174364-4 1.261388+4 1.180392-4 8.801507+3 1.182336-4 7.861772+3 1.183735-4 7.266121+3 1.185900-4 6.465983+3 1.187877-4 5.849982+3 1.190368-4 5.205845+3 1.192859-4 4.682766+3 1.194841-4 4.336235+3 1.196760-4 4.048105+3 1.200560-4 3.583936+3 1.203454-4 3.301243+3 1.207686-4 2.964872+3 1.211961-4 2.691385+3 1.215932-4 2.480625+3 1.219480-4 2.319508+3 1.223962-4 2.145204+3 1.227343-4 2.031533+3 1.230212-4 1.945166+3 1.233369-4 1.859461+3 1.236081-4 1.792670+3 1.239640-4 1.713428+3 1.245219-4 1.605626+3 1.249033-4 1.541649+3 1.252469-4 1.489770+3 1.258925-4 1.404741+3 1.265237-4 1.334631+3 1.271550-4 1.274913+3 1.278523-4 1.218746+3 1.284319-4 1.178443+3 1.294000-4 1.121219+3 1.305000-4 1.067745+3 1.310000-4 1.046542+3 1.320000-4 1.008661+3 1.331647-4 9.705703+2 1.343948-4 9.355860+2 1.360184-4 8.952030+2 1.379949-4 8.520878+2 1.399688-4 8.139445+2 1.424215-4 7.724388+2 1.459305-4 7.210776+2 1.492806-4 6.794594+2 1.523960-4 6.459354+2 1.585728-4 5.894307+2 1.640590-4 5.487609+2 1.705000-4 5.092243+2 1.745000-4 4.882682+2 1.785000-4 4.697495+2 1.875000-4 4.345545+2 1.990000-4 3.978869+2 2.054648-4 3.778239+2 2.088480-4 3.649586+2 2.120416-4 3.512034+2 2.131553-4 3.481381+2 2.162719-4 3.427008+2 2.187374-4 3.371438+2 2.199990-4 3.362022+2 2.208930-4 3.368048+2 2.253077-4 3.461310+2 2.300000-4 3.522039+2 2.339813-4 3.548748+2 2.402536-4 3.571000+2 2.427058-4 3.594486+2 2.475217-4 3.658807+2 2.622989-4 3.787371+2 2.825856-4 3.910919+2 2.976059-4 3.968446+2 2.991141-4 3.981448+2 3.017172-4 4.016413+2 3.061622-4 4.093916+2 3.154525-4 4.220948+2 3.360140-4 4.426049+2 3.603715-4 4.628132+2 3.888000-4 4.830392+2 4.144765-4 4.980284+2 4.415704-4 5.107731+2 4.717798-4 5.217557+2 5.202954-4 5.320614+2 5.607251-4 5.337456+2 6.069109-4 5.276863+2 6.468949-4 5.150299+2 6.878599-4 4.942431+2 7.171748-4 4.732870+2 7.456611-4 4.474134+2 7.708316-4 4.201045+2 7.898443-4 3.961099+2 8.058422-4 3.730959+2 8.216512-4 3.475350+2 8.339926-4 3.253152+2 8.447316-4 3.039327+2 8.549436-4 2.815934+2 8.649097-4 2.575503+2 8.731761-4 2.356500+2 8.793669-4 2.179343+2 8.854479-4 1.994644+2 8.887386-4 1.895471+2 8.938199-4 1.786774+2 8.986874-4 1.916828+2 9.022157-4 2.450049+2 9.049064-4 3.369141+2 9.052202-4 3.517118+2 9.083081-4 5.565547+2 9.096763-4 6.874949+2 9.119690-4 9.706295+2 9.135890-4 1.220188+3 9.142705-4 1.336961+3 9.159455-4 1.650516+3 9.166928-4 1.800900+3 9.181126-4 2.099704+3 9.195536-4 2.413195+3 9.209603-4 2.719564+3 9.224346-4 3.030040+3 9.229080-4 3.125594+3 9.251576-4 3.538442+3 9.256773-4 3.622001+3 9.268324-4 3.789158+3 9.279019-4 3.919655+3 9.290313-4 4.031216+3 9.301217-4 4.113474+3 9.308924-4 4.157065+3 9.318276-4 4.194733+3 9.331154-4 4.221726+3 9.345872-4 4.222346+3 9.363291-4 4.190460+3 9.383909-4 4.120621+3 9.407067-4 4.015348+3 9.432277-4 3.876717+3 9.444889-4 3.797293+3 9.468186-4 3.627883+3 9.483118-4 3.500656+3 9.500099-4 3.336139+3 9.513682-4 3.189264+3 9.528767-4 3.011624+3 9.539434-4 2.878243+3 9.552347-4 2.710438+3 9.567341-4 2.510592+3 9.583052-4 2.300715+3 9.600545-4 2.073590+3 9.643866-4 1.583675+3 9.666559-4 1.385339+3 9.680987-4 1.282282+3 9.702384-4 1.161184+3 9.711430-4 1.120577+3 9.731461-4 1.050408+3 9.747632-4 1.010919+3 9.765456-4 9.817439+2 9.797605-4 9.569401+2 9.814454-4 9.537210+2 9.841644-4 9.570043+2 9.883291-4 9.724969+2 1.000661-3 1.030281+3 1.006199-3 1.053460+3 1.013269-3 1.079613+3 1.021323-3 1.104959+3 1.030120-3 1.128005+3 1.038452-3 1.146386+3 1.049452-3 1.166888+3 1.062996-3 1.188032+3 1.077808-3 1.207500+3 1.098619-3 1.229488+3 1.114221-3 1.241612+3 1.133523-3 1.252198+3 1.152338-3 1.256897+3 1.168345-3 1.255670+3 1.195713-3 1.245782+3 1.202044-3 1.248953+3 1.207970-3 1.257757+3 1.211072-3 1.264761+3 1.230940-3 1.325859+3 1.252773-3 1.379978+3 1.260285-3 1.396008+3 1.269494-3 1.412196+3 1.301761-3 1.450271+3 1.349240-3 1.531740+3 1.371720-3 1.561728+3 1.389489-3 1.577954+3 1.411162-3 1.591391+3 1.432954-3 1.599002+3 1.460646-3 1.602916+3 1.471968-3 1.609378+3 1.485903-3 1.626136+3 1.508854-3 1.660830+3 1.523477-3 1.677418+3 1.540006-3 1.690857+3 1.568229-3 1.707542+3 1.623302-3 1.728495+3 1.707126-3 1.742650+3 1.794346-3 1.748440+3 1.943056-3 1.744208+3 2.035870-3 1.734987+3 2.238721-3 1.698610+3 2.416219-3 1.660467+3 2.705890-3 1.588253+3 2.925836-3 1.529856+3 3.171131-3 1.465025+3 3.450412-3 1.389755+3 3.612145-3 1.347517+3 3.776135-3 1.305178+3 3.959111-3 1.258039+3 4.133225-3 1.213539+3 4.309786-3 1.169412+3 4.498427-3 1.122729+3 4.677351-3 1.077792+3 4.840853-3 1.036525+3 4.990611-3 9.975641+2 5.115976-3 9.640630+2 5.234874-3 9.310168+2 5.338394-3 9.005400+2 5.420170-3 8.749172+2 5.502775-3 8.471432+2 5.573230-3 8.213279+2 5.625187-3 8.004298+2 5.678050-3 7.767601+2 5.722651-3 7.538818+2 5.759088-3 7.320771+2 5.788667-3 7.114771+2 5.807887-3 6.964996+2 5.848955-3 6.613329+2 5.883192-3 6.330753+2 5.903270-3 6.200426+2 5.917178-3 6.136148+2 5.929129-3 6.101650+2 5.938121-3 6.089418+2 5.952471-3 6.094993+2 5.966719-3 6.130145+2 5.983131-3 6.203156+2 6.004722-3 6.339709+2 6.047167-3 6.665311+2 6.075462-3 6.868619+2 6.097173-3 6.999355+2 6.120309-3 7.110751+2 6.144707-3 7.198462+2 6.174246-3 7.269342+2 6.208033-3 7.311390+2 6.242431-3 7.318149+2 6.274122-3 7.295689+2 6.325168-3 7.215156+2 6.374239-3 7.134668+2 6.390979-3 7.121973+2 6.411335-3 7.124499+2 6.439741-3 7.166731+2 6.465768-3 7.243979+2 6.563285-3 7.660438+2 6.586981-3 7.741571+2 6.614925-3 7.814258+2 6.641407-3 7.861009+2 6.694415-3 7.908419+2 6.748374-3 7.946826+2 6.793299-3 8.019844+2 6.835316-3 8.134814+2 6.920000-3 8.418542+2 6.983807-3 8.586984+2 7.023622-3 8.662922+2 7.067847-3 8.727784+2 7.128919-3 8.794385+2 7.252051-3 8.878216+2 7.397244-3 8.926841+2 7.641339-3 8.936098+2 7.866495-3 8.883695+2 8.184431-3 8.758610+2 8.605099-3 8.537366+2 9.077188-3 8.246926+2 9.548262-3 7.936691+2 1.025227-2 7.468259+2 1.106907-2 6.948488+2 1.220320-2 6.290503+2 1.373449-2 5.526993+2 1.548817-2 4.809635+2 1.758551-2 4.121883+2 1.953308-2 3.603059+2 2.089276-2 3.293901+2 2.260030-2 2.953333+2 2.447954-2 2.628628+2 2.641821-2 2.338833+2 2.853694-2 2.066824+2 3.068303-2 1.832268+2 3.388442-2 1.543296+2 3.566654-2 1.405454+2 3.714070-2 1.298571+2 3.829408-2 1.216414+2 3.916482-2 1.152817+2 3.975764-2 1.106840+2 4.027170-2 1.062908+2 4.049051-2 1.041999+2 4.068745-2 1.021290+2 4.085434-2 1.001871+2 4.115000-2 9.627524+1 4.157400-2 9.042050+1 4.174739-2 8.864893+1 4.187349-2 8.784107+1 4.201590-2 8.750657+1 4.213932-2 8.771546+1 4.227930-2 8.844115+1 4.253888-2 9.066809+1 4.285843-2 9.368308+1 4.313246-2 9.566961+1 4.341613-2 9.699766+1 4.376904-2 9.789751+1 4.419077-2 9.833266+1 4.467761-2 9.834529+1 4.542488-2 9.780893+1 4.660972-2 9.623090+1 4.814799-2 9.348622+1 5.015029-2 8.946172+1 5.323129-2 8.310608+1 5.711087-2 7.552011+1 6.153220-2 6.768857+1 6.647518-2 6.003550+1 7.309905-2 5.143869+1 8.125107-2 4.301831+1 9.944673-2 3.021854+1 1.160321-1 2.293613+1 1.480107-1 1.469620+1 1.984252-1 8.538226+0 2.378209-1 6.066267+0 3.073386-1 3.707184+0 4.424462-1 1.825660+0 6.719605-1 8.040475-1 1.120601+0 2.922828-1 2.356220+0 6.651296-2 7.070513+0 7.398393-3 2.135261+1 8.113679-4 6.448384+1 8.896653-5 1.947381+2 9.755007-6 5.880996+2 1.069616-6 1.995262+3 9.292434-8 6.309573+3 9.292434-9 1.995262+4 9.29243-10 6.309573+4 9.29243-11 1.000000+5 3.69938-11 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.527700-6 1.258900-6 4.006100-6 1.584900-6 6.349200-6 1.995300-6 1.006300-5 2.511900-6 1.594800-5 3.162300-6 2.527600-5 3.981100-6 4.006000-5 5.011900-6 6.349100-5 6.309600-6 1.006300-4 7.943300-6 1.594800-4 1.000000-5 2.527500-4 1.258900-5 4.005800-4 1.584900-5 6.348700-4 1.995300-5 1.006100-3 2.511900-5 1.593600-3 3.162300-5 2.524200-3 3.981100-5 3.998600-3 5.011900-5 6.334900-3 6.309600-5 1.003700-2 7.943300-5 1.588300-2 1.000000-4 2.512000-2 1.258900-4 3.966600-2 1.584900-4 6.250700-2 1.995300-4 9.816100-2 2.511900-4 1.534100-1 3.162300-4 2.378600-1 3.981100-4 3.634500-1 5.011900-4 5.446700-1 6.309600-4 7.949800-1 7.943300-4 1.122600+0 1.000000-3 1.530700+0 1.258900-3 2.024500+0 1.584900-3 2.629100+0 1.995300-3 3.383800+0 2.511900-3 4.317500+0 3.162300-3 5.445200+0 3.981100-3 6.781300+0 5.011900-3 8.309500+0 6.309600-3 9.968200+0 7.943300-3 1.174800+1 1.000000-2 1.365800+1 1.258900-2 1.573900+1 1.584900-2 1.787700+1 1.995300-2 1.992400+1 2.511900-2 2.172500+1 3.162300-2 2.331500+1 3.981100-2 2.456900+1 5.011900-2 2.528200+1 6.309600-2 2.597400+1 7.943300-2 2.605500+1 1.000000-1 2.571800+1 1.258900-1 2.500200+1 1.584900-1 2.399100+1 1.995300-1 2.275400+1 2.511900-1 2.135800+1 3.162300-1 1.986000+1 3.981100-1 1.832100+1 5.011900-1 1.677900+1 6.309600-1 1.526300+1 7.943300-1 1.379300+1 1.000000+0 1.238800+1 1.258900+0 1.105200+1 1.584900+0 9.797800+0 1.995300+0 8.628500+0 2.511900+0 7.550200+0 3.162300+0 6.565700+0 3.981100+0 5.675900+0 5.011900+0 4.879100+0 6.309600+0 4.172200+0 7.943300+0 3.550500+0 1.000000+1 3.008100+0 1.258900+1 2.538300+0 1.584900+1 2.134100+0 1.995300+1 1.788200+0 2.511900+1 1.493900+0 3.162300+1 1.244700+0 3.981100+1 1.034500+0 5.011900+1 8.579400-1 6.309600+1 7.100600-1 7.943300+1 5.866100-1 1.000000+2 4.838100-1 1.258900+2 3.984300-1 1.584900+2 3.276600-1 1.995300+2 2.691200-1 2.511900+2 2.207800-1 3.162300+2 1.809200-1 3.981100+2 1.481100-1 5.011900+2 1.211400-1 6.309600+2 9.899300-2 7.943300+2 8.082900-2 1.000000+3 6.594700-2 1.258900+3 5.376500-2 1.584900+3 4.380500-2 1.995300+3 3.566600-2 2.511900+3 2.902200-2 3.162300+3 2.360200-2 3.981100+3 1.918400-2 5.011900+3 1.558400-2 6.309600+3 1.265400-2 7.943300+3 1.027000-2 1.000000+4 8.330700-3 1.258900+4 6.755000-3 1.584900+4 5.475000-3 1.995300+4 4.435800-3 2.511900+4 3.592400-3 3.162300+4 2.908300-3 3.981100+4 2.353700-3 5.011900+4 1.904100-3 6.309600+4 1.539900-3 7.943300+4 1.245000-3 1.000000+5 1.006200-3 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994175-4 2.511886-4 2.510167-4 3.162278-4 3.159554-4 3.981072-4 3.976788-4 5.011872-4 5.005121-4 6.309573-4 6.298985-4 7.943282-4 7.926745-4 1.000000-3 9.974273-4 1.258925-3 1.254919-3 1.584893-3 1.578632-3 1.995262-3 1.985437-3 2.511886-3 2.496443-3 3.162278-3 3.138022-3 3.981072-3 3.943032-3 5.011872-3 4.952381-3 6.309573-3 6.216802-3 7.943282-3 7.799220-3 1.000000-2 9.775602-3 1.258925-2 1.224052-2 1.584893-2 1.530793-2 1.995262-2 1.911834-2 2.511886-2 2.383976-2 3.162278-2 2.967275-2 3.981072-2 3.685087-2 5.011872-2 4.564315-2 6.309573-2 5.639540-2 7.943282-2 6.946721-2 1.000000-1 8.528912-2 1.258925-1 1.044051-1 1.584893-1 1.273801-1 1.995262-1 1.548830-1 2.511886-1 1.876961-1 3.162278-1 2.267345-1 3.981072-1 2.730009-1 5.011872-1 3.276843-1 6.309573-1 3.921795-1 7.943282-1 4.682599-1 1.000000+0 5.575548-1 1.258925+0 6.630086-1 1.584893+0 7.873299-1 1.995262+0 9.344078-1 2.511886+0 1.108936+0 3.162278+0 1.316672+0 3.981072+0 1.564669+0 5.011872+0 1.861439+0 6.309573+0 2.217661+0 7.943282+0 2.646190+0 1.000000+1 3.162830+0 1.258925+1 3.786851+0 1.584893+1 4.542012+0 1.995262+1 5.457238+0 2.511886+1 6.568000+0 3.162278+1 7.918027+0 3.981072+1 9.560491+0 5.011872+1 1.156125+1 6.309573+1 1.400091+1 7.943282+1 1.697851+1 1.000000+2 2.061592+1 1.258925+2 2.506299+1 1.584893+2 3.050477+1 1.995262+2 3.716813+1 2.511886+2 4.533329+1 3.162278+2 5.534590+1 3.981072+2 6.763038+1 5.011872+2 8.271356+1 6.309573+2 1.012432+2 7.943282+2 1.240193+2 1.000000+3 1.520283+2 1.258925+3 1.864907+2 1.584893+3 2.289227+2 1.995262+3 2.811761+2 2.511886+3 3.455630+2 3.162278+3 4.249372+2 3.981072+3 5.228242+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090815-9 2.511886-5 1.728574-9 3.162278-5 2.739416-9 3.981072-5 4.341608-9 5.011872-5 6.880980-9 6.309573-5 1.090546-8 7.943282-5 1.727759-8 1.000000-4 2.737422-8 1.258925-4 4.336122-8 1.584893-4 6.866108-8 1.995262-4 1.086859-7 2.511886-4 1.719480-7 3.162278-4 2.723717-7 3.981072-4 4.283945-7 5.011872-4 6.751723-7 6.309573-4 1.058837-6 7.943282-4 1.653729-6 1.000000-3 2.572721-6 1.258925-3 4.006681-6 1.584893-3 6.261132-6 1.995262-3 9.825237-6 2.511886-3 1.544330-5 3.162278-3 2.425527-5 3.981072-3 3.804011-5 5.011872-3 5.949098-5 6.309573-3 9.277137-5 7.943282-3 1.440621-4 1.000000-2 2.243977-4 1.258925-2 3.487294-4 1.584893-2 5.410048-4 1.995262-2 8.342876-4 2.511886-2 1.279107-3 3.162278-2 1.950027-3 3.981072-2 2.959848-3 5.011872-2 4.475574-3 6.309573-2 6.700330-3 7.943282-2 9.965613-3 1.000000-1 1.471088-2 1.258925-1 2.148744-2 1.584893-1 3.110920-2 1.995262-1 4.464326-2 2.511886-1 6.349257-2 3.162278-1 8.949324-2 3.981072-1 1.251062-1 5.011872-1 1.735029-1 6.309573-1 2.387779-1 7.943282-1 3.260683-1 1.000000+0 4.424452-1 1.258925+0 5.959168-1 1.584893+0 7.975633-1 1.995262+0 1.060854+0 2.511886+0 1.402950+0 3.162278+0 1.845605+0 3.981072+0 2.416403+0 5.011872+0 3.150434+0 6.309573+0 4.091912+0 7.943282+0 5.297092+0 1.000000+1 6.837170+0 1.258925+1 8.802403+0 1.584893+1 1.130692+1 1.995262+1 1.449539+1 2.511886+1 1.855086+1 3.162278+1 2.370475+1 3.981072+1 3.025023+1 5.011872+1 3.855748+1 6.309573+1 4.909483+1 7.943282+1 6.245431+1 1.000000+2 7.938408+1 1.258925+2 1.008296+2 1.584893+2 1.279846+2 1.995262+2 1.623581+2 2.511886+2 2.058554+2 3.162278+2 2.608819+2 3.981072+2 3.304768+2 5.011872+2 4.184737+2 6.309573+2 5.297141+2 7.943282+2 6.703089+2 1.000000+3 8.479717+2 1.258925+3 1.072435+3 1.584893+3 1.355971+3 1.995262+3 1.714086+3 2.511886+3 2.166323+3 3.162278+3 2.737340+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.890000-6 2.874159+6 5.308844-6 1.948219+6 5.623413-6 1.475995+6 5.956621-6 1.111617+6 6.309573-6 8.321129+5 6.700000-6 6.105620+5 7.100000-6 4.494980+5 7.240000-6 4.044439+5 7.240000-6 5.235589+5 7.413102-6 4.755773+5 7.500000-6 4.543518+5 7.600000-6 4.313051+5 7.650000-6 4.206913+5 7.650000-6 5.044859+5 7.852356-6 4.665027+5 7.943282-6 4.520517+5 8.100000-6 4.292789+5 8.350000-6 4.005309+5 8.413951-6 3.943771+5 8.609938-6 3.781296+5 8.709636-6 3.713032+5 8.912509-6 3.602052+5 9.015711-6 3.558173+5 9.225714-6 3.492860+5 9.350000-6 3.467287+5 9.600000-6 3.442879+5 9.700000-6 3.442023+5 9.772372-6 3.444465+5 1.000000-5 3.468184+5 1.011579-5 3.488202+5 1.023293-5 3.513282+5 1.035142-5 3.544375+5 1.050000-5 3.589164+5 1.060000-5 3.623588+5 1.083927-5 3.715946+5 1.085000-5 3.720517+5 1.109175-5 3.830950+5 1.110000-5 3.835000+5 1.127000-5 3.922194+5 1.150000-5 4.048194+5 1.172000-5 4.176647+5 1.174898-5 4.194244+5 1.188502-5 4.280050+5 1.195000-5 4.322516+5 1.216186-5 4.465866+5 1.230269-5 4.564504+5 1.250000-5 4.706958+5 1.273503-5 4.882811+5 1.290000-5 5.010052+5 1.310000-5 5.168340+5 1.318257-5 5.235108+5 1.333521-5 5.360626+5 1.357000-5 5.558612+5 1.385200-5 5.803581+5 1.412538-5 6.048292+5 1.445440-5 6.350701+5 1.480000-5 6.678604+5 1.531087-5 7.181943+5 1.595200-5 7.844127+5 1.621810-5 8.128894+5 1.650000-5 8.431468+5 1.800000-5 1.012140+6 1.819701-5 1.035055+6 1.850000-5 1.070245+6 1.950000-5 1.190493+6 2.000000-5 1.251369+6 2.070000-5 1.337415+6 2.113489-5 1.392186+6 2.150000-5 1.437467+6 2.190000-5 1.486630+6 2.264644-5 1.580230+6 2.300000-5 1.623939+6 2.317395-5 1.645040+6 2.400000-5 1.746632+6 2.426000-5 1.777830+6 2.426000-5 1.591011+7 2.454709-5 1.533667+7 2.540973-5 1.380071+7 2.600160-5 1.288850+7 2.691535-5 1.167027+7 2.726000-5 1.126230+7 2.726000-5 1.800912+7 2.754229-5 1.745870+7 2.786121-5 1.686778+7 2.851018-5 1.577089+7 2.884032-5 1.525639+7 2.917427-5 1.476025+7 3.019952-5 1.339639+7 3.090295-5 1.258197+7 3.198895-5 1.148848+7 3.273407-5 1.083590+7 3.400000-5 9.880224+6 3.467369-5 9.433733+6 3.589219-5 8.726875+6 3.672823-5 8.305365+6 3.715352-5 8.108012+6 3.845918-5 7.565527+6 3.900000-5 7.365756+6 3.935501-5 7.241205+6 4.000000-5 7.029543+6 4.120975-5 6.682939+6 4.168694-5 6.558541+6 4.220000-5 6.431066+6 4.315191-5 6.215334+6 4.330000-5 6.184600+6 4.330000-5 6.243987+6 4.415704-5 6.079638+6 4.466836-5 5.987404+6 4.518559-5 5.898213+6 4.623810-5 5.732990+6 4.731513-5 5.587500+6 4.786301-5 5.516367+6 4.841724-5 5.448603+6 4.900000-5 5.382407+6 4.960000-5 5.320138+6 5.011872-5 5.269382+6 5.150000-5 5.136887+6 5.188000-5 5.103462+6 5.248075-5 5.054504+6 5.308844-5 5.007826+6 5.350000-5 4.974897+6 5.495409-5 4.867259+6 5.559043-5 4.825430+6 5.623413-5 4.785166+6 5.650000-5 4.768284+6 5.688529-5 4.742763+6 5.754399-5 4.701289+6 5.956621-5 4.587964+6 6.025596-5 4.547823+6 6.095369-5 4.509877+6 6.165950-5 4.473537+6 6.237348-5 4.438080+6 6.309573-5 4.403663+6 6.400000-5 4.358334+6 6.500000-5 4.310285+6 6.606934-5 4.262045+6 6.650000-5 4.243769+6 6.683439-5 4.229723+6 6.918310-5 4.124321+6 7.000000-5 4.090898+6 7.161434-5 4.027815+6 7.244360-5 3.993015+6 7.300000-5 3.970681+6 7.448100-5 3.913796+6 7.585776-5 3.862922+6 7.673615-5 3.832183+6 7.762471-5 3.802195+6 7.800000-5 3.788358+6 7.852356-5 3.769163+6 7.943282-5 3.736484+6 8.035261-5 3.704762+6 8.150000-5 3.666592+6 8.317638-5 3.612474+6 8.413951-5 3.582829+6 8.511380-5 3.552415+6 8.518900-5 3.549959+6 8.709636-5 3.488732+6 8.810489-5 3.457825+6 9.015711-5 3.397481+6 9.120108-5 3.367629+6 9.225714-5 3.335134+6 9.549926-5 3.241308+6 9.660509-5 3.210558+6 9.772372-5 3.180304+6 9.800000-5 3.172620+6 1.011579-4 3.083097+6 1.023293-4 3.051417+6 1.047129-4 2.988834+6 1.060000-4 2.953401+6 1.096478-4 2.857909+6 1.120000-4 2.799416+6 1.122018-4 2.794531+6 1.135011-4 2.760747+6 1.174898-4 2.662390+6 1.183500-4 2.642002+6 1.185900-4 2.636386+6 1.185900-4 3.381598+6 1.193000-4 3.458343+6 1.200000-4 3.539435+6 1.202264-4 3.565313+6 1.207000-4 3.622326+6 1.212000-4 3.681714+6 1.218000-4 3.751603+6 1.222800-4 3.805559+6 1.222800-4 4.304887+6 1.223000-4 4.308686+6 1.227000-4 4.382371+6 1.230269-4 4.441636+6 1.232000-4 4.473790+6 1.236000-4 4.544688+6 1.238000-4 4.580380+6 1.244515-4 4.690225+6 1.245000-4 4.698352+6 1.247200-4 4.731326+6 1.252000-4 4.805843+6 1.257000-4 4.874300+6 1.258925-4 4.898807+6 1.260000-4 4.911671+6 1.262000-4 4.935894+6 1.265500-4 4.974004+6 1.268100-4 5.000526+6 1.271000-4 5.025917+6 1.275000-4 5.057985+6 1.277000-4 5.070889+6 1.283000-4 5.104522+6 1.288500-4 5.122269+6 1.290000-4 5.125646+6 1.295000-4 5.130418+6 1.298000-4 5.129976+6 1.302000-4 5.124958+6 1.303167-4 5.122249+6 1.305000-4 5.117915+6 1.308000-4 5.107605+6 1.315000-4 5.076955+6 1.318257-4 5.056167+6 1.322000-4 5.032591+6 1.325000-4 5.010912+6 1.330000-4 4.970931+6 1.337200-4 4.908193+6 1.337500-4 4.905400+6 1.345000-4 4.831044+6 1.348963-4 4.790052+6 1.350000-4 4.779338+6 1.353000-4 4.746973+6 1.364583-4 4.618157+6 1.365000-4 4.613630+6 1.375000-4 4.498134+6 1.380384-4 4.435625+6 1.390000-4 4.324835+6 1.400000-4 4.210893+6 1.401000-4 4.199793+6 1.407000-4 4.132710+6 1.412538-4 4.070852+6 1.428894-4 3.896707+6 1.430000-4 3.885413+6 1.445440-4 3.727500+6 1.460000-4 3.588224+6 1.462177-4 3.567866+6 1.479108-4 3.414718+6 1.492000-4 3.306174+6 1.500000-4 3.241255+6 1.531087-4 3.009788+6 1.540000-4 2.949026+6 1.560000-4 2.819964+6 1.584893-4 2.676649+6 1.590000-4 2.649057+6 1.603245-4 2.581355+6 1.610000-4 2.548262+6 1.635000-4 2.435297+6 1.640590-4 2.412314+6 1.650000-4 2.374585+6 1.659587-4 2.338191+6 1.660000-4 2.336626+6 1.670000-4 2.299939+6 1.680000-4 2.265382+6 1.690000-4 2.232479+6 1.705000-4 2.186115+6 1.720000-4 2.143766+6 1.725600-4 2.128481+6 1.740000-4 2.091291+6 1.757924-4 2.049138+6 1.760000-4 2.044351+6 1.778279-4 2.005772+6 1.780000-4 2.002143+6 1.800000-4 1.963612+6 1.820000-4 1.929003+6 1.840772-4 1.896320+6 1.842000-4 1.894416+6 1.850000-4 1.883128+6 1.865000-4 1.862323+6 1.885000-4 1.837604+6 1.890000-4 1.831762+6 1.900000-4 1.820805+6 1.908000-4 1.811896+6 1.915000-4 1.804488+6 1.930000-4 1.789635+6 1.940000-4 1.780291+6 1.949845-4 1.771739+6 1.950000-4 1.771606+6 1.972423-4 1.753477+6 1.980000-4 1.747325+6 2.000000-4 1.733014+6 2.020000-4 1.719935+6 2.040000-4 1.708134+6 2.041738-4 1.707194+6 2.050000-4 1.702773+6 2.089296-4 1.682013+6 2.137962-4 1.661324+6 2.162719-4 1.651634+6 2.195600-4 1.640493+6 2.195600-4 1.975683+6 2.213095-4 1.969497+6 2.220000-4 1.967017+6 2.300000-4 1.941366+6 2.317395-4 1.936407+6 2.371374-4 1.921605+6 2.380000-4 1.919404+6 2.401600-4 1.913524+6 2.406400-4 1.912194+6 2.406400-4 2.014623+6 2.454709-4 2.002182+6 2.483133-4 1.995102+6 2.500000-4 1.990685+6 2.511886-4 1.987641+6 2.540973-4 1.979729+6 2.570396-4 1.972057+6 2.600160-4 1.964327+6 2.660725-4 1.948284+6 2.691535-4 1.940118+6 2.722701-4 1.931306+6 2.754229-4 1.922659+6 2.786121-4 1.913823+6 2.851018-4 1.895477+6 2.884032-4 1.885753+6 2.900000-4 1.880729+6 2.917427-4 1.875385+6 2.951209-4 1.865157+6 2.992500-4 1.852589+6 2.992500-4 1.978627+6 3.000000-4 1.976274+6 3.054921-4 1.957971+6 3.090295-4 1.946217+6 3.126079-4 1.934598+6 3.162278-4 1.922252+6 3.200000-4 1.908992+6 3.240000-4 1.895215+6 3.280000-4 1.881027+6 3.311311-4 1.869746+6 3.320000-4 1.866664+6 3.349654-4 1.856070+6 3.350000-4 1.855947+6 3.388442-4 1.841532+6 3.427678-4 1.827307+6 3.430000-4 1.826438+6 3.435600-4 1.824336+6 3.507519-4 1.797845+6 3.589219-4 1.767116+6 3.600000-4 1.763027+6 3.630781-4 1.751479+6 3.672823-4 1.736000+6 3.715352-4 1.719922+6 3.758374-4 1.703994+6 3.801894-4 1.687778+6 3.850000-4 1.670134+6 3.890451-4 1.654960+6 3.935501-4 1.638410+6 4.027170-4 1.604903+6 4.050000-4 1.596795+6 4.100000-4 1.578515+6 4.120975-4 1.570958+6 4.216965-4 1.535875+6 4.265795-4 1.518672+6 4.350000-4 1.488672+6 4.365158-4 1.483270+6 4.415704-4 1.465342+6 4.466836-4 1.447702+6 4.518559-4 1.430134+6 4.600000-4 1.402254+6 4.623810-4 1.394137+6 4.677351-4 1.376191+6 4.786301-4 1.341182+6 4.850000-4 1.320781+6 4.897788-4 1.305477+6 5.011872-4 1.270047+6 5.069907-4 1.252762+6 5.150000-4 1.228738+6 5.248075-4 1.199904+6 5.300000-4 1.185126+6 5.308844-4 1.182634+6 5.370318-4 1.165411+6 5.400000-4 1.157265+6 5.432503-4 1.148204+6 5.495409-4 1.131028+6 5.500000-4 1.129769+6 5.559043-4 1.113735+6 5.688529-4 1.079964+6 5.754399-4 1.063438+6 5.800000-4 1.052245+6 5.888437-4 1.030360+6 6.000000-4 1.003459+6 6.095369-4 9.813922+5 6.200000-4 9.580440+5 6.237348-4 9.497426+5 6.309573-4 9.337741+5 6.456542-4 9.026544+5 6.606934-4 8.723875+5 6.683439-4 8.573476+5 6.700000-4 8.541474+5 6.918310-4 8.131092+5 7.079458-4 7.848272+5 7.140000-4 7.745513+5 7.150000-4 7.728746+5 7.161434-4 7.709218+5 7.328245-4 7.429827+5 7.413102-4 7.293502+5 7.585776-4 7.028639+5 7.673615-4 6.899682+5 7.762471-4 6.768807+5 7.852356-4 6.640514+5 8.035261-4 6.389830+5 8.128305-4 6.267819+5 8.317638-4 6.030690+5 8.413951-4 5.912116+5 8.511380-4 5.795937+5 8.709636-4 5.570513+5 8.810489-4 5.460465+5 8.912509-4 5.352433+5 9.000000-4 5.262201+5 9.015711-4 5.245763+5 9.225714-4 5.033586+5 9.332543-4 4.930795+5 9.348600-4 4.915630+5 9.348600-4 1.875167+6 9.440609-4 1.835666+6 9.549926-4 1.790308+6 9.559800-4 1.786292+6 9.559800-4 2.557185+6 9.700000-4 2.515902+6 9.772372-4 2.495568+6 9.850000-4 2.474409+6 9.865000-4 2.470387+6 9.885531-4 2.464079+6 9.950000-4 2.444583+6 1.000000-3 2.425717+6 1.004000-3 2.408644+6 1.015000-3 2.356363+6 1.025900-3 2.300437+6 1.030000-3 2.278970+6 1.047129-3 2.187895+6 1.050000-3 2.173136+6 1.059254-3 2.127960+6 1.060000-3 2.124371+6 1.070000-3 2.078968+6 1.083927-3 2.017904+6 1.109175-3 1.913470+6 1.110000-3 1.910191+6 1.122018-3 1.863769+6 1.135011-3 1.815395+6 1.150000-3 1.762242+6 1.161449-3 1.723136+6 1.174898-3 1.678722+6 1.188502-3 1.635365+6 1.202264-3 1.593131+6 1.216186-3 1.551974+6 1.228400-3 1.516462+6 1.228400-3 1.738938+6 1.230269-3 1.733306+6 1.244515-3 1.691277+6 1.250000-3 1.675314+6 1.258925-3 1.649468+6 1.273503-3 1.608471+6 1.318257-3 1.491564+6 1.325700-3 1.473079+6 1.325700-3 1.558250+6 1.333521-3 1.539199+6 1.344000-3 1.513969+6 1.348963-3 1.502065+6 1.350000-3 1.499595+6 1.363000-3 1.468826+6 1.364583-3 1.465120+6 1.380384-3 1.428864+6 1.390000-3 1.407436+6 1.396368-3 1.393473+6 1.400000-3 1.385602+6 1.428894-3 1.325217+6 1.445440-3 1.291957+6 1.462177-3 1.259217+6 1.479108-3 1.227075+6 1.480100-3 1.225230+6 1.480100-3 1.279630+6 1.500000-3 1.242710+6 1.530000-3 1.190028+6 1.531087-3 1.188182+6 1.548817-3 1.158363+6 1.566751-3 1.129285+6 1.570000-3 1.124135+6 1.584893-3 1.100550+6 1.603245-3 1.072257+6 1.640590-3 1.017777+6 1.659587-3 9.916465+5 1.678804-3 9.662027+5 1.698244-3 9.414399+5 1.737801-3 8.938547+5 1.757924-3 8.704707+5 1.798871-3 8.255259+5 1.800000-3 8.243363+5 1.819701-3 8.039152+5 1.840772-3 7.828943+5 1.862087-3 7.624347+5 1.883649-3 7.425143+5 1.900000-3 7.278493+5 1.950000-3 6.855049+5 1.972423-3 6.675997+5 2.018366-3 6.325531+5 2.041738-3 6.156591+5 2.065380-3 5.991740+5 2.089296-3 5.831331+5 2.113489-3 5.674202+5 2.137962-3 5.521482+5 2.162719-3 5.371956+5 2.187762-3 5.226697+5 2.213095-3 5.084618+5 2.238721-3 4.946013+5 2.264644-3 4.811268+5 2.300000-3 4.636028+5 2.317395-3 4.553058+5 2.371374-3 4.309081+5 2.400000-3 4.187018+5 2.426610-3 4.078007+5 2.454709-3 3.966833+5 2.483133-3 3.858858+5 2.511886-3 3.753039+5 2.540973-3 3.649904+5 2.570396-3 3.549769+5 2.630268-3 3.356450+5 2.660725-3 3.263983+5 2.722701-3 3.086053+5 2.754229-3 3.000292+5 2.786121-3 2.916797+5 2.818383-3 2.835136+5 2.851018-3 2.755806+5 2.884032-3 2.678729+5 2.900000-3 2.642575+5 2.917427-3 2.603892+5 2.951209-3 2.531218+5 3.000000-3 2.430978+5 3.019952-3 2.391648+5 3.090295-3 2.260147+5 3.126079-3 2.196955+5 3.162278-3 2.135170+5 3.198895-3 2.074860+5 3.235937-3 2.016280+5 3.273407-3 1.959404+5 3.311311-3 1.904079+5 3.388442-3 1.798003+5 3.400000-3 1.782852+5 3.427678-3 1.747174+5 3.500000-3 1.658707+5 3.507519-3 1.649812+5 3.589219-3 1.556936+5 3.630781-3 1.512548+5 3.650000-3 1.492620+5 3.672823-3 1.469349+5 3.758374-3 1.386642+5 3.801894-3 1.347080+5 3.845918-3 1.308688+5 3.890451-3 1.271444+5 3.935501-3 1.235309+5 3.981072-3 1.199675+5 4.027170-3 1.165123+5 4.120975-3 1.098882+5 4.168694-3 1.067222+5 4.265795-3 1.006744+5 4.315191-3 9.778625+4 4.365158-3 9.497776+4 4.415704-3 9.223286+4 4.466836-3 8.956342+4 4.570882-3 8.443579+4 4.623810-3 8.197831+4 4.677351-3 7.959482+4 4.841724-3 7.286273+4 4.897788-3 7.075182+4 4.954502-3 6.869329+4 5.000000-3 6.709843+4 5.011872-3 6.669081+4 5.069907-3 6.474106+4 5.188000-3 6.100542+4 5.248075-3 5.921860+4 5.370318-3 5.580377+4 5.432503-3 5.417320+4 5.495409-3 5.258203+4 5.559043-3 5.103945+4 5.623413-3 4.954342+4 5.688529-3 4.808737+4 5.754399-3 4.666615+4 5.888437-3 4.395216+4 5.954400-3 4.269744+4 5.954400-3 1.217145+5 6.000000-3 1.197349+5 6.025596-3 1.186441+5 6.070000-3 1.167865+5 6.165950-3 1.123186+5 6.190000-3 1.112342+5 6.237348-3 1.090355+5 6.309573-3 1.057962+5 6.382635-3 1.026546+5 6.442900-3 1.001550+5 6.442900-3 1.368212+5 6.456542-3 1.361136+5 6.531306-3 1.323252+5 6.570000-3 1.303875+5 6.660000-3 1.259260+5 6.683439-3 1.247645+5 6.760830-3 1.210324+5 6.799800-3 1.192112+5 6.799800-3 1.376259+5 6.918310-3 1.316960+5 6.920000-3 1.316139+5 7.000000-3 1.278953+5 7.079458-3 1.243116+5 7.220000-3 1.182406+5 7.244360-3 1.172437+5 7.300000-3 1.150103+5 7.328245-3 1.138991+5 7.413102-3 1.106517+5 7.585776-3 1.043647+5 7.673615-3 1.013158+5 7.800000-3 9.714614+4 7.852356-3 9.548755+4 8.035261-3 9.000896+4 8.128305-3 8.739170+4 8.222426-3 8.482876+4 8.317638-3 8.234218+4 8.413951-3 7.992938+4 8.511380-3 7.757097+4 8.810489-3 7.091502+4 8.912509-3 6.881354+4 9.120108-3 6.478102+4 9.225714-3 6.285668+4 9.332543-3 6.098970+4 9.440609-3 5.917276+4 9.500000-3 5.820650+4 9.549926-3 5.741070+4 9.660509-3 5.570134+4 9.800000-3 5.364330+4 1.000000-2 5.086256+4 1.011579-2 4.934253+4 1.023293-2 4.787406+4 1.035142-2 4.644650+4 1.059254-2 4.371929+4 1.071519-2 4.241822+4 1.083927-2 4.114601+4 1.096478-2 3.991271+4 1.135011-2 3.643365+4 1.148154-2 3.534299+4 1.150000-2 3.519349+4 1.161449-2 3.428515+4 1.174898-2 3.324719+4 1.202264-2 3.126283+4 1.216186-2 3.031640+4 1.230269-2 2.939937+4 1.244515-2 2.851065+4 1.258925-2 2.764311+4 1.273503-2 2.680246+4 1.288250-2 2.598810+4 1.318257-2 2.443309+4 1.333521-2 2.369188+4 1.350000-2 2.292660+4 1.364583-2 2.227679+4 1.380384-2 2.159913+4 1.396368-2 2.093776+4 1.400000-2 2.079142+4 1.412538-2 2.029630+4 1.450000-2 1.891094+4 1.462177-2 1.848855+4 1.500000-2 1.725755+4 1.513561-2 1.684408+4 1.531087-2 1.632618+4 1.548817-2 1.582449+4 1.584893-2 1.486465+4 1.603245-2 1.440697+4 1.621810-2 1.396146+4 1.640590-2 1.353003+4 1.659587-2 1.311177+4 1.678804-2 1.270673+4 1.737801-2 1.156708+4 1.757924-2 1.121096+4 1.778279-2 1.086610+4 1.819701-2 1.020342+4 1.840772-2 9.887766+3 1.862087-2 9.579802+3 1.905461-2 8.992384+3 1.927525-2 8.712652+3 1.949845-2 8.441841+3 1.972423-2 8.179617+3 2.018366-2 7.677889+3 2.041738-2 7.438948+3 2.089296-2 6.983441+3 2.113489-2 6.766537+3 2.137962-2 6.554985+3 2.150000-2 6.454268+3 2.162719-2 6.350062+3 2.187762-2 6.151602+3 2.213095-2 5.958542+3 2.317395-2 5.246376+3 2.344229-2 5.082359+3 2.371374-2 4.923585+3 2.398833-2 4.769024+3 2.426610-2 4.619431+3 2.454709-2 4.474093+3 2.483133-2 4.333300+3 2.511886-2 4.197032+3 2.540973-2 4.065151+3 2.570396-2 3.937368+3 2.630268-2 3.693013+3 2.660725-2 3.576722+3 2.722701-2 3.355286+3 2.754229-2 3.249152+3 2.786121-2 3.146359+3 2.851018-2 2.950608+3 2.884032-2 2.857372+3 2.917427-2 2.767145+3 2.985383-2 2.595340+3 3.000000-2 2.560181+3 3.019952-2 2.513242+3 3.054921-2 2.433507+3 3.162278-2 2.209510+3 3.198895-2 2.139636+3 3.235937-2 2.071510+3 3.273407-2 2.005549+3 3.311311-2 1.941731+3 3.349654-2 1.879938+3 3.388442-2 1.820148+3 3.507519-2 1.652194+3 3.548134-2 1.599736+3 3.589219-2 1.548980+3 3.630781-2 1.499703+3 3.715352-2 1.405706+3 3.758374-2 1.360985+3 3.801894-2 1.317394+3 3.845918-2 1.275210+3 3.890451-2 1.234394+3 3.935501-2 1.194881+3 3.981072-2 1.156657+3 4.027170-2 1.119680+3 4.073803-2 1.083910+3 4.120975-2 1.049308+3 4.168694-2 1.015788+3 4.201000-2 9.939267+2 4.201000-2 5.701152+3 4.265795-2 5.486207+3 4.300000-2 5.377314+3 4.350000-2 5.230974+3 4.365158-2 5.181920+3 4.415704-2 5.022754+3 4.466836-2 4.868286+3 4.518559-2 4.729728+3 4.570882-2 4.595132+3 4.600000-2 4.522540+3 4.731513-2 4.196087+3 4.841724-2 3.947068+3 4.897788-2 3.828153+3 4.954502-2 3.712834+3 5.069907-2 3.492562+3 5.128614-2 3.388644+3 5.188000-2 3.287831+3 5.370318-2 3.002727+3 5.495409-2 2.826505+3 5.559043-2 2.742322+3 5.623413-2 2.658967+3 5.688529-2 2.578138+3 5.754399-2 2.499774+3 5.821032-2 2.423783+3 5.888437-2 2.350111+3 5.956621-2 2.278688+3 6.025596-2 2.209443+3 6.165950-2 2.077228+3 6.237348-2 2.014046+3 6.382635-2 1.891502+3 6.683439-2 1.668386+3 6.760830-2 1.616856+3 6.839116-2 1.566922+3 6.998420-2 1.471599+3 7.244360-2 1.339410+3 7.328245-2 1.298049+3 7.413102-2 1.257919+3 7.585776-2 1.181353+3 7.673615-2 1.144841+3 7.762471-2 1.109459+3 7.800000-2 1.094964+3 7.943282-2 1.041143+3 8.222426-2 9.462019+2 8.317638-2 9.165172+2 8.511380-2 8.599195+2 8.609938-2 8.329480+2 8.709636-2 8.068250+2 8.810489-2 7.815232+2 8.912509-2 7.569879+2 9.120108-2 7.102089+2 9.772372-2 5.865412+2 1.000000-1 5.499027+2 1.011580-1 5.324480+2 1.023293-1 5.155501+2 1.035142-1 4.991888+2 1.047129-1 4.833468+2 1.059254-1 4.680096+2 1.071519-1 4.531604+2 1.080000-1 4.432648+2 1.096478-1 4.248443+2 1.148154-1 3.734023+2 1.188502-1 3.389576+2 1.216186-1 3.177810+2 1.244515-1 2.979323+2 1.258925-1 2.884280+2 1.273503-1 2.792266+2 1.288250-1 2.703178+2 1.303167-1 2.616941+2 1.318257-1 2.533395+2 1.348963-1 2.374265+2 1.364583-1 2.298494+2 1.396368-1 2.154139+2 1.428894-1 2.018863+2 1.445440-1 1.954452+2 1.462177-1 1.892102+2 1.479108-1 1.831743+2 1.513561-1 1.716747+2 1.531088-1 1.661986+2 1.548817-1 1.608986+2 1.584893-1 1.508008+2 1.603245-1 1.459924+2 1.621810-1 1.413371+2 1.659587-1 1.324696+2 1.698244-1 1.241590+2 1.717908-1 1.202017+2 1.737801-1 1.163705+2 1.757924-1 1.126618+2 1.798871-1 1.055960+2 1.840772-1 9.897373+1 1.862087-1 9.582078+1 1.883649-1 9.276835+1 1.905461-1 8.981321+1 1.949845-1 8.418268+1 1.972423-1 8.150201+1 2.000000-1 7.838254+1 2.018366-1 7.639431+1 2.041738-1 7.396182+1 2.065380-1 7.160690+1 2.089296-1 6.932712+1 2.113489-1 6.712068+1 2.162719-1 6.295508+1 2.238721-1 5.718688+1 2.264644-1 5.538462+1 2.290868-1 5.363916+1 2.317395-1 5.195048+1 2.344229-1 5.031537+1 2.371374-1 4.873176+1 2.398833-1 4.719812+1 2.426610-1 4.571281+1 2.511886-1 4.153248+1 2.540973-1 4.022583+1 2.570396-1 3.896066+1 2.583000-1 3.844197+1 2.600160-1 3.775084+1 2.630268-1 3.657863+1 2.691535-1 3.434231+1 2.722701-1 3.327607+1 2.786121-1 3.124193+1 2.818383-1 3.027205+1 2.851018-1 2.933237+1 2.884032-1 2.842234+1 2.917427-1 2.754184+1 2.985383-1 2.586234+1 3.019952-1 2.506142+1 3.054921-1 2.429755+1 3.090295-1 2.355698+1 3.126079-1 2.283899+1 3.198895-1 2.146802+1 3.235937-1 2.081394+1 3.273407-1 2.017981+1 3.311311-1 1.956502+1 3.349654-1 1.896911+1 3.388442-1 1.839138+1 3.427678-1 1.783244+1 3.467369-1 1.729050+1 3.507519-1 1.677382+1 3.548134-1 1.627259+1 3.630781-1 1.531490+1 3.672823-1 1.485744+1 3.715352-1 1.441365+1 3.722400-1 1.434190+1 3.758374-1 1.398323+1 3.801894-1 1.356570+1 3.845918-1 1.316065+1 3.890451-1 1.276770+1 3.935501-1 1.238724+1 4.000000-1 1.187897+1 4.073803-1 1.133223+1 4.168694-1 1.067936+1 4.216965-1 1.036727+1 4.265795-1 1.006432+1 4.315191-1 9.770221+0 4.365158-1 9.484728+0 4.415705-1 9.207651+0 4.466836-1 8.944879+0 4.570882-1 8.441831+0 4.623810-1 8.201038+0 4.677351-1 7.967116+0 4.786301-1 7.519263+0 4.841724-1 7.304933+0 4.897788-1 7.096717+0 4.954502-1 6.894434+0 5.011872-1 6.702257+0 5.069907-1 6.515991+0 5.128614-1 6.334904+0 5.188000-1 6.158878+0 5.248075-1 5.987791+0 5.308844-1 5.821512+0 5.370318-1 5.659848+0 5.495409-1 5.349869+0 5.559043-1 5.201307+0 5.623413-1 5.060223+0 5.688529-1 4.923424+0 5.754399-1 4.790334+0 5.956621-1 4.412488+0 6.095369-1 4.177301+0 6.165950-1 4.064452+0 6.237348-1 3.957328+0 6.309573-1 3.853029+0 6.382635-1 3.751863+0 6.456542-1 3.653387+0 6.606935-1 3.464120+0 6.683439-1 3.373198+0 6.760830-1 3.284662+0 6.839117-1 3.198458+0 6.918310-1 3.116573+0 6.998420-1 3.036810+0 7.079458-1 2.959094+0 7.161434-1 2.883637+0 7.244360-1 2.810105+0 7.328245-1 2.738462+0 7.413102-1 2.668647+0 7.498942-1 2.600617+0 7.585776-1 2.534321+0 7.673615-1 2.471357+0 7.762471-1 2.409958+0 7.852356-1 2.350088+0 7.943282-1 2.291742+0 8.035261-1 2.235022+0 8.317638-1 2.073149+0 8.511380-1 1.971832+0 8.609938-1 1.924417+0 8.709636-1 1.878160+0 8.810489-1 1.833059+0 8.912509-1 1.789189+0 9.015711-1 1.746369+0 9.101600-1 1.711875+0 9.120108-1 1.704574+0 9.225714-1 1.663784+0 9.332543-1 1.623988+0 9.440609-1 1.586398+0 9.549926-1 1.549679+0 9.660509-1 1.513844+0 9.772372-1 1.478970+0 9.885531-1 1.444903+0 1.000000+0 1.411658+0 1.011579+0 1.379180+0 1.023293+0 1.347446+0 1.035142+0 1.317226+0 1.047129+0 1.287682+0 1.059254+0 1.258806+0 1.071519+0 1.230597+0 1.083927+0 1.203041+0 1.096478+0 1.176103+0 1.135011+0 1.099054+0 1.148154+0 1.074510+0 1.161449+0 1.050516+0 1.174898+0 1.027061+0 1.202264+0 9.828418-1 1.216186+0 9.614673-1 1.230269+0 9.405580-1 1.244515+0 9.201036-1 1.250000+0 9.124085-1 1.258925+0 9.001377-1 1.273503+0 8.806311-1 1.288250+0 8.615553-1 1.303167+0 8.429002-1 1.318257+0 8.251387-1 1.333521+0 8.077523-1 1.348963+0 7.907308-1 1.380384+0 7.577848-1 1.396368+0 7.418301-1 1.412538+0 7.262117-1 1.428894+0 7.109757-1 1.462177+0 6.814624-1 1.500000+0 6.510071-1 1.513561+0 6.406019-1 1.584893+0 5.899463-1 1.640590+0 5.547124-1 1.659587+0 5.437691-1 1.678804+0 5.330418-1 1.698244+0 5.225267-1 1.778279+0 4.825590-1 1.798871+0 4.730539-1 1.819701+0 4.637678-1 1.840772+0 4.546640-1 1.862087+0 4.457390-1 1.883649+0 4.372558-1 1.905461+0 4.289340-1 1.927525+0 4.207715-1 2.000000+0 3.956756-1 2.018366+0 3.896952-1 2.044000+0 3.815869-1 2.065380+0 3.750503-1 2.113489+0 3.609811-1 2.137962+0 3.543468-1 2.162719+0 3.478342-1 2.187762+0 3.414421-1 2.264644+0 3.229902-1 2.290868+0 3.170637-1 2.317395+0 3.112461-1 2.344229+0 3.055542-1 2.398833+0 2.944807-1 2.426610+0 2.892550-1 2.454709+0 2.841220-1 2.483133+0 2.790805-1 2.570396+0 2.645088-1 2.600160+0 2.598227-1 2.630268+0 2.552196-1 2.660725+0 2.506981-1 2.691535+0 2.462715-1 2.754229+0 2.376515-1 2.786121+0 2.335806-1 2.818383+0 2.295794-1 2.851018+0 2.256472-1 2.951209+0 2.142675-1 2.985383+0 2.106032-1 3.000000+0 2.090676-1 3.019952+0 2.070016-1 3.054921+0 2.034617-1 3.090295+0 1.999939-1 3.162278+0 1.932345-1 3.198895+0 1.900379-1 3.235937+0 1.868940-1 3.273407+0 1.838026-1 3.427678+0 1.719574-1 3.467369+0 1.691173-1 3.507519+0 1.663242-1 3.548134+0 1.635772-1 3.589219+0 1.608845-1 3.672823+0 1.556312-1 3.715352+0 1.531434-1 3.758374+0 1.506953-1 3.801894+0 1.482866-1 4.000000+0 1.381256-1 4.027170+0 1.368251-1 4.120975+0 1.324925-1 4.168694+0 1.303779-1 4.216965+0 1.283036-1 4.315191+0 1.242535-1 4.365158+0 1.223328-1 4.415704+0 1.204418-1 4.466836+0 1.185801-1 4.677351+0 1.114273-1 4.731513+0 1.097076-1 4.841724+0 1.063473-1 4.897788+0 1.047060-1 4.954502+0 1.030952-1 5.069907+0 9.994770-2 5.128614+0 9.845429-2 5.188000+0 9.698321-2 5.248075+0 9.553420-2 5.495409+0 8.995984-2 5.559043+0 8.861783-2 5.754399+0 8.471075-2 5.821032+0 8.344704-2 5.888437+0 8.220593-2 6.025596+0 7.977883-2 6.095369+0 7.862373-2 6.165950+0 7.748535-2 6.309573+0 7.525797-2 6.606934+0 7.099944-2 6.683439+0 6.997300-2 6.918310+0 6.698186-2 7.000000+0 6.599467-2 7.079458+0 6.506195-2 7.244360+0 6.319990-2 7.328245+0 6.231317-2 7.413102+0 6.143888-2 7.585776+0 5.972705-2 8.035261+0 5.565877-2 8.128305+0 5.487900-2 8.413951+0 5.260460-2 8.511380+0 5.186761-2 8.609938+0 5.114295-2 8.810489+0 4.972389-2 9.015711+0 4.837681-2 9.120108+0 4.771702-2 9.332543+0 4.642439-2 1.000000+1 4.275740-2 1.011579+1 4.217506-2 1.047129+1 4.047508-2 1.059254+1 3.992382-2 1.083927+1 3.884677-2 1.109175+1 3.782464-2 1.122018+1 3.732374-2 1.148154+1 3.634173-2 1.244515+1 3.310779-2 1.258925+1 3.266994-2 1.318257+1 3.097557-2 1.333521+1 3.056591-2 1.348963+1 3.016164-2 1.380384+1 2.937115-2 1.412538+1 2.861895-2 1.428894+1 2.825012-2 1.462177+1 2.752669-2 1.584893+1 2.514002-2 1.603245+1 2.481640-2 1.621810+1 2.449694-2 1.717908+1 2.296029-2 1.737801+1 2.266472-2 1.757924+1 2.237296-2 1.778279+1 2.208569-2 1.819701+1 2.153410-2 1.840772+1 2.126351-2 1.862087+1 2.099658-2 2.089296+1 1.850490-2 2.162719+1 1.781674-2 2.238721+1 1.715417-2 2.400000+1 1.589355-2 2.426610+1 1.570242-2 2.454709+1 1.550979-2 2.630268+1 1.440378-2 2.884032+1 1.305081-2 3.235937+1 1.153689-2 3.467369+1 1.071419-2 3.507519+1 1.058541-2 3.630781+1 1.020862-2 4.073803+1 9.046876-3 4.786301+1 7.639112-3 5.188000+1 7.019643-3 5.248075+1 6.935481-3 5.308844+1 6.853562-3 5.495409+1 6.613661-3 6.237348+1 5.803670-3 7.852356+1 4.576574-3 8.709636+1 4.112609-3 8.810489+1 4.064113-3 8.912509+1 4.016722-3 9.015711+1 3.969898-3 9.440609+1 3.788054-3 1.096478+2 3.252639-3 1.428894+2 2.483977-3 1.640590+2 2.158032-3 1.659587+2 2.132884-3 1.678804+2 2.108229-3 1.698244+2 2.083860-3 1.717908+2 2.059777-3 1.737801+2 2.035973-3 1.862087+2 1.898840-3 2.187762+2 1.613711-3 2.851018+2 1.235201-3 3.273407+2 1.074409-3 3.311311+2 1.061995-3 3.349654+2 1.049791-3 3.388442+2 1.037726-3 3.427678+2 1.025802-3 3.467369+2 1.014016-3 3.715352+2 9.460939-4 4.365158+2 8.047781-4 1.135011+3 3.084224-4 1.303167+3 2.684878-4 1.318257+3 2.654032-4 1.333521+3 2.623637-4 1.348963+3 2.593588-4 1.364583+3 2.563886-4 1.380384+3 2.534526-4 1.479108+3 2.365296-4 3.467369+3 1.008665-4 1.000000+5 3.493014-6 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.890000-6 4.890000-6 7.240000-6 4.890000-6 7.240000-6 5.424649-6 7.650000-6 5.567185-6 7.650000-6 5.913139-6 8.912509-6 6.523372-6 9.350000-6 6.708695-6 9.772372-6 6.859543-6 1.035142-5 7.017730-6 1.085000-5 7.113637-6 1.150000-5 7.196506-6 1.250000-5 7.264730-6 1.412538-5 7.306247-6 2.317395-5 7.350587-6 2.426000-5 7.353891-6 2.426000-5 2.237087-5 2.600160-5 2.165931-5 2.726000-5 2.107396-5 2.726000-5 2.339145-5 2.917427-5 2.268617-5 3.198895-5 2.147716-5 3.467369-5 2.020129-5 4.000000-5 1.756750-5 4.220000-5 1.654004-5 4.330000-5 1.605176-5 4.330000-5 1.631092-5 4.518559-5 1.557860-5 4.731513-5 1.483474-5 4.960000-5 1.414662-5 5.188000-5 1.355940-5 5.350000-5 1.319829-5 5.623413-5 1.268047-5 5.754399-5 1.247157-5 6.025596-5 1.209917-5 6.309573-5 1.178686-5 6.683439-5 1.147198-5 7.000000-5 1.126929-5 7.300000-5 1.111350-5 7.852356-5 1.090116-5 8.518900-5 1.072870-5 9.225714-5 1.061172-5 1.011579-4 1.053486-5 1.135011-4 1.050466-5 1.185900-4 1.051197-5 1.185900-4 1.569515-5 1.207000-4 1.723209-5 1.218000-4 1.797123-5 1.222800-4 1.826693-5 1.222800-4 2.033866-5 1.238000-4 2.139987-5 1.247200-4 2.194571-5 1.258925-4 2.253256-5 1.271000-4 2.299162-5 1.283000-4 2.331747-5 1.298000-4 2.354875-5 1.315000-4 2.362578-5 1.330000-4 2.355397-5 1.353000-4 2.327447-5 1.380384-4 2.277286-5 1.430000-4 2.166044-5 1.500000-4 1.999523-5 1.560000-4 1.867015-5 1.603245-4 1.784431-5 1.640590-4 1.725445-5 1.670000-4 1.687406-5 1.705000-4 1.652539-5 1.740000-4 1.628562-5 1.780000-4 1.613505-5 1.820000-4 1.610709-5 1.865000-4 1.620049-5 1.915000-4 1.642989-5 1.980000-4 1.687850-5 2.050000-4 1.749354-5 2.195600-4 1.895744-5 2.195600-4 2.498802-5 2.406400-4 2.677164-5 2.406400-4 2.870408-5 2.570396-4 2.986611-5 2.786121-4 3.116148-5 2.992500-4 3.218714-5 2.992500-4 3.511606-5 3.320000-4 3.635927-5 3.672823-4 3.734994-5 4.120975-4 3.834667-5 4.677351-4 3.925699-5 5.500000-4 4.027040-5 6.606934-4 4.125649-5 8.128305-4 4.228326-5 9.348600-4 4.295340-5 9.348600-4 7.055262-5 9.559800-4 7.049693-5 9.559800-4 7.415639-5 1.004000-3 7.447131-5 1.228400-3 7.410640-5 1.228400-3 8.072252-5 1.325700-3 8.120085-5 1.325700-3 8.392553-5 1.480100-3 8.496750-5 1.480100-3 8.812077-5 1.900000-3 9.113511-5 2.454709-3 9.439667-5 3.019952-3 9.713699-5 3.801894-3 1.002179-4 4.677351-3 1.029761-4 5.888437-3 1.059946-4 5.954400-3 1.061411-4 5.954400-3 1.467673-4 6.442900-3 1.473440-4 6.442900-3 1.557470-4 6.799800-3 1.560186-4 6.799800-3 1.634220-4 9.800000-3 1.666208-4 1.462177-2 1.701192-4 2.137962-2 1.734614-4 3.054921-2 1.765341-4 4.201000-2 1.791443-4 4.201000-2 1.767628-4 1.096478-1 1.776544-4 4.415705-1 1.782364-4 1.000000+5 1.783338-4 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.890000-6 0.0 1.222800-4 0.0 1.222800-4 1.449423-9 1.230269-4 1.568411-9 1.238000-4 1.700627-9 1.252000-4 1.947932-9 1.260000-4 2.085695-9 1.265500-4 2.178563-9 1.271000-4 2.266363-9 1.277000-4 2.356367-9 1.283000-4 2.439154-9 1.290000-4 2.525716-9 1.295000-4 2.583612-9 1.303167-4 2.661144-9 1.308000-4 2.701576-9 1.315000-4 2.748091-9 1.322000-4 2.784443-9 1.330000-4 2.812858-9 1.337500-4 2.827692-9 1.345000-4 2.834153-9 1.353000-4 2.831551-9 1.365000-4 2.813521-9 1.375000-4 2.788719-9 1.390000-4 2.738245-9 1.412538-4 2.641560-9 1.430000-4 2.559655-9 1.462177-4 2.395530-9 1.540000-4 1.983201-9 1.584893-4 1.760234-9 1.603245-4 1.673780-9 1.635000-4 1.539192-9 1.660000-4 1.445081-9 1.680000-4 1.378840-9 1.705000-4 1.306814-9 1.720000-4 1.269019-9 1.740000-4 1.225728-9 1.760000-4 1.189603-9 1.780000-4 1.160555-9 1.800000-4 1.138526-9 1.820000-4 1.122775-9 1.842000-4 1.112602-9 1.865000-4 1.109049-9 1.885000-4 1.111280-9 1.908000-4 1.119748-9 1.930000-4 1.133265-9 1.950000-4 1.149400-9 1.980000-4 1.180067-9 2.000000-4 1.204111-9 2.041738-4 1.262068-9 2.089296-4 1.338407-9 2.162719-4 1.469560-9 2.195600-4 1.531119-9 2.195600-4 2.952559-9 2.406400-4 3.290639-9 2.406400-4 3.956289-9 2.570396-4 4.187338-9 2.754229-4 4.415286-9 2.917427-4 4.591704-9 2.992500-4 4.665540-9 2.992500-4 5.291167-9 3.280000-4 5.531396-9 3.507519-4 5.684206-9 3.850000-4 5.878365-9 4.216965-4 6.052896-9 4.623810-4 6.209318-9 5.308844-4 6.420678-9 6.095369-4 6.611843-9 7.161434-4 6.819750-9 8.709636-4 7.063120-9 9.348600-4 7.149522-9 9.348600-4 8.609945-9 9.559800-4 8.612894-9 9.559800-4 5.293837-7 9.885531-4 5.718591-7 9.950000-4 5.791531-7 1.000000-3 5.828745-7 1.004000-3 5.848016-7 1.015000-3 5.869799-7 1.060000-3 5.816475-7 1.202264-3 5.761062-7 1.228400-3 5.756353-7 1.228400-3 6.387809-7 1.325700-3 6.420359-7 1.325700-3 7.261915-7 1.380384-3 7.335520-7 1.480100-3 7.439744-7 1.480100-3 7.954711-7 1.698244-3 8.214303-7 2.089296-3 8.616793-7 2.483133-3 8.959711-7 2.951209-3 9.316996-7 3.507519-3 9.668272-7 4.168694-3 1.002394-6 5.000000-3 1.039218-6 5.954400-3 1.073998-6 5.954400-3 4.424106-4 6.070000-3 4.444645-4 6.442900-3 4.448915-4 6.442900-3 5.589381-4 6.799800-3 5.603705-4 6.799800-3 5.899581-4 8.912509-3 5.956384-4 1.412538-2 6.017128-4 2.483133-2 6.067146-4 4.201000-2 6.101599-4 4.201000-2 2.866438-2 4.954502-2 2.888643-2 6.382635-2 2.914515-2 9.120108-2 2.937005-2 1.531088-1 2.954903-2 4.000000-1 2.965785-2 1.202264+0 2.976769-2 1.000000+5 2.976502-2 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.890000-6 0.0 7.240000-6 2.350000-6 7.240000-6 1.815351-6 7.500000-6 1.988437-6 7.650000-6 2.082815-6 7.650000-6 1.736861-6 7.943282-6 1.890401-6 8.709636-6 2.280364-6 9.015711-6 2.446215-6 9.350000-6 2.641305-6 9.700000-6 2.863853-6 1.011579-5 3.155769-6 1.050000-5 3.450504-6 1.085000-5 3.736363-6 1.127000-5 4.098313-6 1.195000-5 4.716240-6 1.290000-5 5.619953-6 1.480000-5 7.486299-6 2.426000-5 1.690611-5 2.426000-5 1.889125-6 2.454709-5 2.285004-6 2.540973-5 3.495176-6 2.600160-5 4.342286-6 2.726000-5 6.186044-6 2.726000-5 3.868545-6 2.786121-5 4.679583-6 2.884032-5 6.022681-6 3.019952-5 7.934299-6 3.198895-5 1.051179-5 3.467369-5 1.447240-5 4.000000-5 2.243250-5 4.330000-5 2.724824-5 4.330000-5 2.698908-5 4.623810-5 3.103869-5 4.960000-5 3.545338-5 5.350000-5 4.030171-5 5.754399-5 4.507242-5 6.309573-5 5.130887-5 7.161434-5 6.043389-5 8.810489-5 7.743073-5 1.185900-4 1.080780-4 1.185900-4 1.028949-4 1.222800-4 1.040131-4 1.222800-4 1.019399-4 1.252000-4 1.029919-4 1.277000-4 1.045284-4 1.308000-4 1.071831-4 1.353000-4 1.120227-4 1.479108-4 1.274208-4 1.610000-4 1.432693-4 1.720000-4 1.555880-4 1.850000-4 1.688389-4 2.050000-4 1.875052-4 2.195600-4 2.006010-4 2.195600-4 1.945690-4 2.406400-4 2.138651-4 2.406400-4 2.119320-4 2.992500-4 2.670582-4 2.992500-4 2.641286-4 4.050000-4 3.667922-4 7.328245-4 6.910356-4 9.348600-4 8.918995-4 9.348600-4 8.642988-4 9.559800-4 8.854745-4 9.559800-4 8.812942-4 1.228400-3 1.153718-3 1.228400-3 1.147039-3 1.325700-3 1.243857-3 1.325700-3 1.241048-3 1.480100-3 1.394389-3 1.480100-3 1.391184-3 5.754399-3 5.647637-3 5.954400-3 5.847185-3 5.954400-3 5.365222-3 6.442900-3 5.850665-3 6.442900-3 5.728215-3 6.799800-3 6.083411-3 6.799800-3 6.046420-3 4.201000-2 4.122070-2 4.201000-2 1.316886-2 4.365158-2 1.473743-2 5.559043-2 2.639129-2 8.317638-2 5.367639-2 2.371374-1 2.073454-1 1.000000+5 9.999997+4 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 4.201000-2 4.707225+3 4.300000-2 4.446480+3 4.350000-2 4.329920+3 4.466836-2 4.032262+3 4.600000-2 3.753460+3 5.069907-2 2.908848+3 5.559043-2 2.293080+3 6.237348-2 1.690402+3 7.800000-2 9.242140+2 9.772372-2 4.970967+2 1.244515-1 2.532618+2 2.113489-1 5.726167+1 2.570396-1 3.325787+1 3.019952-1 2.140417+1 3.467369-1 1.477412+1 3.935501-1 1.058885+1 4.415705-1 7.873708+0 4.954502-1 5.897874+0 5.559043-1 4.451402+0 6.165950-1 3.479704+0 6.839117-1 2.739451+0 7.585776-1 2.171679+0 8.511380-1 1.690619+0 9.332543-1 1.392910+0 1.023293+0 1.155981+0 1.174898+0 8.812489-1 1.303167+0 7.232031-1 1.462177+0 5.846431-1 1.640590+0 4.758783-1 1.862087+0 3.823967-1 2.113489+0 3.096920-1 2.398833+0 2.526421-1 2.754229+0 2.038894-1 3.162278+0 1.657839-1 3.672823+0 1.335231-1 4.315191+0 1.066033-1 5.069907+0 8.575001-2 6.025596+0 6.844637-2 7.244360+0 5.422256-2 8.810489+0 4.266094-2 1.083927+1 3.332925-2 1.380384+1 2.519940-2 1.778279+1 1.894936-2 2.426610+1 1.347292-2 3.467369+1 9.192920-3 5.248075+1 5.950749-3 8.810489+1 3.487078-3 1.659587+2 1.830056-3 3.311311+2 9.112171-4 1.318257+3 2.277221-4 1.000000+5 2.997100-6 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 4.201000-2 1.762600-4 1.000000+5 1.762600-4 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.201000-2 3.458800-2 1.000000+5 3.458800-2 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.201000-2 7.245740-3 1.000000+5 9.999997+4 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 6.799800-3 1.841462+4 6.920000-3 1.778570+4 7.079458-3 1.716797+4 7.220000-3 1.658230+4 7.413102-3 1.592043+4 7.852356-3 1.438834+4 8.810489-3 1.180002+4 9.332543-3 1.062506+4 1.011579-2 9.130986+3 1.071519-2 8.217402+3 1.174898-2 6.869984+3 1.380384-2 5.006864+3 1.548817-2 3.954941+3 1.778279-2 2.966504+3 2.113489-2 2.044228+3 2.371374-2 1.584456+3 2.722701-2 1.160005+3 3.198895-2 7.988501+2 3.758374-2 5.451621+2 4.415704-2 3.688344+2 5.188000-2 2.475083+2 6.165950-2 1.600525+2 7.328245-2 1.026644+2 8.810489-2 6.342060+1 1.080000-1 3.693850+1 1.303167-1 2.229758+1 2.290868-1 4.827323+0 2.884032-1 2.603037+0 3.388442-1 1.700903+0 3.890451-1 1.189076+0 4.415705-1 8.623617-1 5.011872-1 6.300428-1 5.623413-1 4.770457-1 6.309573-1 3.639860-1 7.079458-1 2.798776-1 7.943282-1 2.169043-1 8.810489-1 1.735931-1 9.660509-1 1.434126-1 1.096478+0 1.114310-1 1.250000+0 8.645401-2 1.412538+0 6.881182-2 1.584893+0 5.589507-2 1.798871+0 4.481581-2 2.044000+0 3.615000-2 2.317395+0 2.948534-2 2.660725+0 2.374723-2 3.054921+0 1.927272-2 3.548134+0 1.549454-2 4.168694+0 1.235012-2 4.897788+0 9.918382-3 5.821032+0 7.904955-3 7.000000+0 6.251800-3 8.511380+0 4.913706-3 1.059254+1 3.782709-3 1.348963+1 2.857908-3 1.757924+1 2.120200-3 2.426610+1 1.488305-3 3.467369+1 1.015572-3 5.188000+1 6.652667-4 8.709636+1 3.897631-4 1.659587+2 2.021553-4 3.311311+2 1.006557-4 1.318257+3 2.515522-5 1.000000+5 3.310700-7 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 6.799800-3 2.113500-4 1.000000+5 2.113500-4 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 6.799800-3 7.815000-4 1.000000+5 7.815000-4 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 6.799800-3 5.806950-3 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 6.442900-3 3.666622+4 6.570000-3 3.527200+4 6.660000-3 3.422400+4 7.000000-3 3.020300+4 8.128305-3 2.040900+4 8.912509-3 1.590000+4 1.023293-2 1.084800+4 1.244515-2 6.268800+3 1.400000-2 4.460000+3 1.603245-2 3.005300+3 1.972423-2 1.621500+3 2.426610-2 8.640300+2 2.985383-2 4.552700+2 3.630781-2 2.463500+2 4.466836-2 1.275400+2 5.623413-2 6.090800+1 7.762471-2 2.144900+1 1.216186-1 4.998200+0 1.531088-1 2.382800+0 1.840772-1 1.326600+0 2.089296-1 8.914400-1 2.426610-1 5.622500-1 2.917427-1 3.209790-1 3.311311-1 2.203699-1 3.715352-1 1.576243-1 4.168694-1 1.135420-1 4.677351-1 8.241284-2 5.188000-1 6.219193-2 5.754399-1 4.725794-2 6.382635-1 3.617091-2 7.244360-1 2.632964-2 7.943282-1 2.098726-2 8.609938-1 1.733051-2 9.225714-1 1.480452-2 9.885531-1 1.273812-2 1.071519+0 1.078681-2 1.174898+0 8.989432-3 1.288250+0 7.548495-3 1.428894+0 6.250686-3 1.698244+0 4.604004-3 1.927525+0 3.705578-3 2.187762+0 3.006501-3 2.483133+0 2.457118-3 2.851018+0 1.986734-3 3.273407+0 1.618308-3 3.801894+0 1.305666-3 4.466836+0 1.044116-3 5.248075+0 8.412065-4 6.309573+0 6.626134-4 7.585776+0 5.258888-4 9.332543+0 4.087356-4 1.148154+1 3.199704-4 1.462177+1 2.424019-4 1.840772+1 1.872818-4 2.454709+1 1.366430-4 3.507519+1 9.325351-5 5.308844+1 6.037812-5 9.015711+1 3.497157-5 1.737801+2 1.793523-5 3.467369+2 8.932829-6 1.380384+3 2.232901-6 1.000000+5 3.077500-8 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 6.442900-3 1.787000-4 1.000000+5 1.787000-4 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 6.442900-3 8.704600-4 1.000000+5 8.704600-4 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 6.442900-3 5.393740-3 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 5.954400-3 7.901706+4 6.070000-3 7.617040+4 6.190000-3 7.263360+4 6.531306-3 6.308726+4 7.585776-3 4.196973+4 8.413951-3 3.135232+4 9.800000-3 2.025084+4 1.161449-2 1.237759+4 1.364583-2 7.647362+3 1.513561-2 5.595123+3 1.840772-2 3.064055+3 2.187762-2 1.783321+3 2.570396-2 1.067697+3 3.019952-2 6.347500+2 3.589219-2 3.609818+2 4.365158-2 1.888682+2 5.370318-2 9.435223+1 6.839116-2 4.164881+1 1.318257-1 4.448510+0 1.621810-1 2.211090+0 1.949845-1 1.196422+0 2.238721-1 7.600012-1 2.540973-1 5.048046-1 2.851018-1 3.503003-1 3.198895-1 2.448322-1 3.548134-1 1.785734-1 3.935501-1 1.312006-1 4.365158-1 9.713202-2 4.786301-1 7.485691-2 5.248075-1 5.809036-2 5.754399-1 4.539963-2 6.309573-1 3.573069-2 6.918310-1 2.832367-2 7.585776-1 2.261572-2 8.317638-1 1.818872-2 9.332543-1 1.397247-2 9.885531-1 1.232008-2 1.071519+0 1.042874-2 1.174898+0 8.689688-3 1.273503+0 7.454969-3 1.412538+0 6.169839-3 1.698244+0 4.452364-3 1.927525+0 3.583418-3 2.187762+0 2.907471-3 2.483133+0 2.376180-3 2.851018+0 1.921236-3 3.273407+0 1.564936-3 3.801894+0 1.262605-3 4.466836+0 1.009682-3 5.248075+0 8.134629-4 6.309573+0 6.407571-4 7.585776+0 5.085406-4 9.332543+0 3.952531-4 1.148154+1 3.094170-4 1.462177+1 2.344044-4 1.840772+1 1.811086-4 2.454709+1 1.321333-4 3.507519+1 9.017895-5 5.308844+1 5.838714-5 9.015711+1 3.381771-5 1.737801+2 1.734411-5 3.467369+2 8.638124-6 1.380384+3 2.159320-6 1.000000+5 2.976000-8 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 5.954400-3 1.687200-4 1.000000+5 1.687200-4 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.954400-3 6.808900-4 1.000000+5 6.808900-4 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 5.954400-3 5.104790-3 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.480100-3 5.440052+4 1.570000-3 5.105920+4 1.800000-3 4.269340+4 2.213095-3 3.157889+4 2.511886-3 2.613356+4 2.722701-3 2.298317+4 3.311311-3 1.666804+4 3.758374-3 1.340431+4 4.315191-3 1.051926+4 5.188000-3 7.527311+3 6.000000-3 5.735160+3 6.918310-3 4.369271+3 8.128305-3 3.188386+3 9.660509-3 2.256135+3 1.150000-2 1.578112+3 1.350000-2 1.127526+3 1.584893-2 7.996502+2 1.840772-2 5.765125+2 2.150000-2 4.077620+2 2.540973-2 2.787245+2 2.985383-2 1.916093+2 3.507519-2 1.307523+2 4.120975-2 8.856494+1 4.841724-2 5.955733+1 5.754399-2 3.862624+1 6.839116-2 2.486092+1 8.222426-2 1.541822+1 1.000000-1 9.207540+0 1.273503-1 4.827837+0 1.603245-1 2.594899+0 2.317395-1 9.575742-1 2.851018-1 5.501774-1 3.388442-1 3.491053-1 3.935501-1 2.371333-1 4.466836-1 1.721227-1 5.011872-1 1.294580-1 5.623413-1 9.806054-2 6.309573-1 7.483391-2 7.079458-1 5.756021-2 7.852356-1 4.576303-2 8.709636-1 3.659449-2 9.549926-1 3.019671-2 1.059254+0 2.452912-2 1.202264+0 1.915410-2 1.348963+0 1.540719-2 1.513561+0 1.248140-2 1.698244+0 1.017992-2 1.927525+0 8.197375-3 2.187762+0 6.651886-3 2.483133+0 5.436459-3 2.851018+0 4.395600-3 3.273407+0 3.580352-3 3.801894+0 2.888600-3 4.466836+0 2.310016-3 5.248075+0 1.861128-3 6.309573+0 1.465948-3 7.585776+0 1.163441-3 9.332543+0 9.042923-4 1.148154+1 7.079001-4 1.462177+1 5.362861-4 1.840772+1 4.143572-4 2.454709+1 3.023099-4 3.507519+1 2.063176-4 5.248075+1 1.351916-4 8.912509+1 7.828964-5 1.698244+2 4.061699-5 3.388442+2 2.022667-5 1.348963+3 5.055439-6 1.000000+5 6.808800-8 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.480100-3 1.591400-4 1.000000+5 1.591400-4 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.480100-3 1.955300-6 1.000000+5 1.955300-6 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.480100-3 1.319005-3 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.325700-3 8.517155+4 1.344000-3 8.518008+4 1.363000-3 8.449859+4 1.390000-3 8.313019+4 1.445440-3 8.012310+4 1.531087-3 7.537169+4 1.603245-3 7.137329+4 1.757924-3 6.329791+4 1.900000-3 5.685180+4 2.041738-3 5.123924+4 2.213095-3 4.528270+4 2.371374-3 4.046250+4 2.754229-3 3.126940+4 2.951209-3 2.762203+4 3.273407-3 2.271404+4 3.650000-3 1.838236+4 4.027170-3 1.505794+4 4.570882-3 1.155643+4 5.069907-3 9.229801+3 5.688529-3 7.143794+3 6.382635-3 5.483249+3 7.079458-3 4.297659+3 8.128305-3 3.076926+3 9.225714-3 2.245791+3 1.035142-2 1.675841+3 1.174898-2 1.205856+3 1.350000-2 8.334700+2 1.548817-2 5.736831+2 1.778279-2 3.909406+2 2.041738-2 2.644061+2 2.371374-2 1.716920+2 2.754229-2 1.106417+2 3.235937-2 6.837150+1 3.801894-2 4.193615+1 4.518559-2 2.466107+1 5.370318-2 1.440428+1 6.760830-2 6.973786+0 9.772372-2 2.161811+0 1.396368-1 6.937361-1 1.737801-1 3.479718-1 2.089296-1 1.960424-1 2.426610-1 1.237890-1 2.786121-1 8.152607-2 3.198895-1 5.409732-2 3.630781-1 3.743014-2 4.073803-1 2.697862-2 4.570882-1 1.960053-2 5.128614-1 1.434845-2 5.688529-1 1.090811-2 6.309573-1 8.351675-3 6.998420-1 6.442809-3 7.762471-1 5.008414-3 8.709636-1 3.807354-3 9.332543-1 3.251425-3 9.885531-1 2.867493-3 1.071519+0 2.427019-3 1.161449+0 2.067944-3 1.273503+0 1.734937-3 1.412538+0 1.436119-3 1.698244+0 1.036602-3 1.927525+0 8.343716-4 2.187762+0 6.770575-4 2.483133+0 5.534068-4 2.851018+0 4.475201-4 3.273407+0 3.645435-4 3.801894+0 2.941116-4 4.466836+0 2.351959-4 5.248075+0 1.894896-4 6.309573+0 1.492589-4 7.585776+0 1.184670-4 9.332543+0 9.207227-5 1.148154+1 7.207663-5 1.462177+1 5.460330-5 1.862087+1 4.165567-5 2.454709+1 3.078062-5 3.507519+1 2.100721-5 5.248075+1 1.376459-5 8.912509+1 7.971228-6 1.698244+2 4.135527-6 3.388442+2 2.059438-6 1.348963+3 5.147302-7 1.000000+5 6.932500-9 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.325700-3 1.310500-4 1.000000+5 1.310500-4 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.325700-3 2.181700-6 1.000000+5 2.181700-6 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.325700-3 1.192468-3 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.228400-3 2.224758+5 1.250000-3 2.190448+5 1.333521-3 2.036924+5 1.445440-3 1.835036+5 1.531087-3 1.690903+5 1.737801-3 1.396127+5 1.883649-3 1.228176+5 2.018366-3 1.095540+5 2.187762-3 9.520118+4 2.570396-3 7.082444+4 2.786121-3 6.071189+4 3.162278-3 4.711420+4 3.500000-3 3.823076+4 3.935501-3 2.973603+4 4.365158-3 2.367954+4 4.897788-3 1.823672+4 5.432503-3 1.433158+4 6.165950-3 1.058781+4 6.918310-3 7.980113+3 7.800000-3 5.901320+3 8.810489-3 4.311536+3 1.000000-2 3.087328+3 1.135011-2 2.194117+3 1.288250-2 1.547971+3 1.450000-2 1.110344+3 1.640590-2 7.797917+2 1.862087-2 5.390922+2 2.113489-2 3.702919+2 2.454709-2 2.356424+2 2.851018-2 1.487207+2 3.311311-2 9.316663+1 3.890451-2 5.585376+1 4.570882-2 3.323478+1 5.495409-2 1.821645+1 6.683439-2 9.541655+0 8.810489-2 3.793424+0 1.428894-1 7.483526-1 1.737801-1 3.904327-1 2.065380-1 2.215060-1 2.371374-1 1.416397-1 2.691535-1 9.466247-2 3.019952-1 6.607582-2 3.388442-1 4.647921-2 3.758374-1 3.409289-2 4.216965-1 2.434929-2 4.677351-1 1.812530-2 5.128614-1 1.404325-2 5.623413-1 1.096160-2 6.165950-1 8.618575-3 6.760830-1 6.826876-3 7.413102-1 5.446187-3 8.511380-1 3.920903-3 9.120108-1 3.346158-3 9.772372-1 2.875447-3 1.047129+0 2.490202-3 1.148154+0 2.071323-3 1.258925+0 1.735871-3 1.396368+0 1.435070-3 1.678804+0 1.034693-3 1.905461+0 8.322176-4 2.162719+0 6.747733-4 2.454709+0 5.511279-4 2.818383+0 4.453207-4 3.235937+0 3.625131-4 3.758374+0 2.923068-4 4.415704+0 2.336257-4 5.188000+0 1.881238-4 6.165950+0 1.503067-4 7.413102+0 1.191830-4 9.120108+0 9.255658-5 1.122018+1 7.239773-5 1.428894+1 5.480161-5 1.819701+1 4.178160-5 2.454709+1 3.009819-5 3.507519+1 2.054167-5 5.308844+1 1.329911-5 9.015711+1 7.703131-6 1.717908+2 3.997031-6 3.427678+2 1.990496-6 1.364583+3 4.975486-7 1.000000+5 6.778800-9 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.228400-3 1.258200-4 1.000000+5 1.258200-4 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.228400-3 1.069200-6 1.000000+5 1.069200-6 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.228400-3 1.101511-3 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 9.559800-4 7.708928+5 9.865000-4 8.021438+5 9.950000-4 8.073718+5 1.000000-3 8.063654+5 1.004000-3 8.033764+5 1.015000-3 7.889083+5 1.025900-3 7.691707+5 1.060000-3 7.046760+5 1.135011-3 5.985262+5 1.244515-3 4.828296+5 1.350000-3 3.963724+5 1.462177-3 3.243772+5 1.584893-3 2.633172+5 1.737801-3 2.059147+5 1.950000-3 1.500904+5 2.089296-3 1.236762+5 2.426610-3 8.016421+4 2.660725-3 6.104473+4 3.090295-3 3.877068+4 3.400000-3 2.883960+4 3.935501-3 1.816450+4 4.415704-3 1.251612+4 4.954502-3 8.572289+3 5.688529-3 5.392786+3 6.456542-3 3.497084+3 7.244360-3 2.344329+3 8.222426-3 1.499798+3 9.500000-3 8.935200+2 1.096478-2 5.296441+2 1.258925-2 3.174353+2 1.450000-2 1.865752+2 1.659587-2 1.114853+2 1.905461-2 6.538374+1 2.213095-2 3.642893+1 2.630268-2 1.840120+1 3.162278-2 8.810319+0 3.890451-2 3.815592+0 5.128614-2 1.238359+0 8.317638-2 1.717225-1 1.035142-1 7.069744-2 1.258925-1 3.220912-2 1.479108-1 1.698187-2 1.717908-1 9.444619-3 1.972423-1 5.537275-3 2.238721-1 3.416815-3 2.511886-1 2.218184-3 2.786121-1 1.513423-3 3.054921-1 1.083915-3 3.388442-1 7.505205-4 3.758374-1 5.232865-4 4.216965-1 3.531908-4 4.677351-1 2.497232-4 5.188000-1 1.779313-4 5.688529-1 1.325936-4 6.095369-1 1.069446-4 6.606935-1 8.385467-5 7.161434-1 6.619564-5 8.609938-1 3.916692-5 9.120108-1 3.345605-5 9.549926-1 2.966974-5 1.000000+0 2.648199-5 1.047129+0 2.381207-5 1.096478+0 2.156385-5 1.148154+0 1.964629-5 1.216186+0 1.760828-5 1.318257+0 1.522639-5 1.513561+0 1.202120-5 1.819701+0 8.709666-6 2.018366+0 7.308497-6 2.290868+0 5.946428-6 2.630268+0 4.786013-6 3.019952+0 3.881774-6 3.507519+0 3.118939-6 4.120975+0 2.484606-6 4.841724+0 1.994312-6 5.754399+0 1.588595-6 6.918310+0 1.256144-6 8.413951+0 9.865847-7 1.047129+1 7.591958-7 1.318257+1 5.810027-7 1.717908+1 4.306794-7 2.400000+1 2.982000-7 3.467369+1 2.010702-7 5.188000+1 1.317189-7 8.709636+1 7.717186-8 1.640590+2 4.049554-8 3.273407+2 2.016190-8 1.303167+3 5.038410-9 1.000000+5 6.55510-11 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 9.559800-4 8.263600-5 1.000000+5 8.263600-5 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 9.559800-4 1.736100-6 1.000000+5 1.736100-6 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 9.559800-4 8.716079-4 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 9.348600-4 1.383604+6 1.030000-3 1.106052+6 1.050000-3 1.052832+6 1.110000-3 9.211320+5 1.216186-3 7.425835+5 1.318257-3 6.098014+5 1.428894-3 4.973444+5 1.570000-3 3.888348+5 1.737801-3 2.955113+5 1.972423-3 2.079606+5 2.137962-3 1.649973+5 2.483133-3 1.063497+5 2.722701-3 8.056572+4 3.126079-3 5.271066+4 3.507519-3 3.669986+4 3.935501-3 2.538523+4 4.466836-3 1.678108+4 5.011872-3 1.143445+4 5.623413-3 7.739184+3 6.382635-3 4.999676+3 7.300000-3 3.119574+3 8.317638-3 1.957016+3 9.500000-3 1.207740+3 1.071519-2 7.749005+2 1.202264-2 5.039360+2 1.350000-2 3.249402+2 1.531087-2 2.004997+2 1.737801-2 1.225656+2 2.018366-2 6.800832+1 2.344229-2 3.744654+1 2.754229-2 1.954987+1 3.273407-2 9.672053+0 3.981072-2 4.320355+0 5.128614-2 1.508626+0 8.609938-2 1.737029-1 1.059254-1 7.362610-2 1.244515-1 3.802022-2 1.445440-1 2.073344-2 1.659587-1 1.193649-2 1.862087-1 7.585743-3 2.000000-1 5.745996-3 2.041738-1 5.326459-3 2.264644-1 3.587193-3 2.511886-1 2.432205-3 2.786121-1 1.660755-3 3.090295-1 1.142474-3 3.388442-1 8.248176-4 3.672823-1 6.240396-4 4.000000-1 4.677307-4 4.315191-1 3.646782-4 4.677351-1 2.819208-4 5.069907-1 2.196031-4 5.495409-1 1.724331-4 5.956621-1 1.363507-4 6.456542-1 1.085351-4 7.079458-1 8.425516-5 8.709636-1 4.854317-5 9.225714-1 4.193145-5 9.660509-1 3.750424-5 1.011579+0 3.374680-5 1.071519+0 2.980371-5 1.135011+0 2.649907-5 1.216186+0 2.318592-5 1.318257+0 2.000018-5 1.840772+0 1.116221-5 2.044000+0 9.358679-6 2.317395+0 7.633374-6 2.660725+0 6.147829-6 3.054921+0 4.989396-6 3.548134+0 4.011286-6 4.168694+0 3.197251-6 4.897788+0 2.567718-6 5.821032+0 2.046428-6 7.000000+0 1.618500-6 8.511380+0 1.272108-6 1.047129+1 9.926438-7 1.318257+1 7.596741-7 1.717908+1 5.631254-7 2.400000+1 3.899000-7 3.467369+1 2.629068-7 5.188000+1 1.722320-7 8.709636+1 1.009047-7 1.640590+2 5.294895-8 3.273407+2 2.636142-8 1.303167+3 6.587831-9 1.000000+5 8.57100-11 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 9.348600-4 8.035800-5 1.000000+5 8.035800-5 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 9.348600-4 9.128800-9 1.000000+5 9.128800-9 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 9.348600-4 8.544929-4 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 2.992500-4 1.260386+5 3.320000-4 1.197547+5 3.430000-4 1.168842+5 4.100000-4 1.008470+5 4.365158-4 9.511837+4 5.069907-4 8.105670+4 5.500000-4 7.396220+4 6.000000-4 6.651360+4 6.918310-4 5.540013+4 7.585776-4 4.891936+4 8.810489-4 3.956243+4 9.885531-4 3.337552+4 1.150000-3 2.647440+4 1.333521-3 2.092126+4 1.548817-3 1.637305+4 1.819701-3 1.248308+4 2.162719-3 9.261803+3 2.570396-3 6.824023+3 3.126079-3 4.789499+3 3.801894-3 3.336213+3 4.623810-3 2.306876+3 5.623413-3 1.583456+3 6.760830-3 1.102996+3 8.035261-3 7.804927+2 9.660509-3 5.356170+2 1.161449-2 3.646034+2 1.380384-2 2.523639+2 1.640590-2 1.734152+2 1.949845-2 1.182751+2 2.317395-2 8.002971+1 2.754229-2 5.372102+1 3.235937-2 3.675978+1 3.845918-2 2.428700+1 4.570882-2 1.591946+1 5.370318-2 1.065546+1 6.382635-2 6.878932+0 7.673615-2 4.280695+0 9.120108-2 2.723469+0 1.148154-1 1.477619+0 1.531088-1 6.819967-1 2.290868-1 2.292930-1 2.818383-1 1.317283-1 3.349654-1 8.355941-2 3.890451-1 5.673420-2 4.415705-1 4.116652-2 5.011872-1 3.009018-2 5.623413-1 2.279403-2 6.309573-1 1.739535-2 7.079458-1 1.338008-2 7.852356-1 1.063761-2 8.709636-1 8.506189-3 9.549926-1 7.018765-3 1.059254+0 5.701015-3 1.202264+0 4.451762-3 1.348963+0 3.580969-3 1.513561+0 2.900967-3 1.698244+0 2.365978-3 1.927525+0 1.905203-3 2.187762+0 1.546092-3 2.483133+0 1.263590-3 2.851018+0 1.021620-3 3.273407+0 8.321237-4 3.801894+0 6.713486-4 4.466836+0 5.368693-4 5.248075+0 4.325431-4 6.309573+0 3.407097-4 7.585776+0 2.704060-4 9.332543+0 2.101704-4 1.148154+1 1.645267-4 1.462177+1 1.246431-4 1.840772+1 9.630157-5 2.454709+1 7.026071-5 3.507519+1 4.795097-5 5.308844+1 3.104580-5 9.015711+1 1.798208-5 1.717908+2 9.330460-6 3.427678+2 4.646697-6 1.364583+3 1.161503-6 1.000000+5 1.582500-8 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 2.992500-4 7.816700-5 1.000000+5 7.816700-5 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.992500-4 1.448700-8 1.000000+5 1.448700-8 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 2.992500-4 2.210685-4 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 2.406400-4 1.024287+5 3.311311-4 9.539143+4 3.600000-4 9.331080+4 3.890451-4 9.091966+4 4.216965-4 8.779877+4 4.518559-4 8.461655+4 4.850000-4 8.086200+4 5.300000-4 7.576520+4 5.688529-4 7.151074+4 6.095369-4 6.717791+4 6.700000-4 6.116640+4 7.328245-4 5.557115+4 8.035261-4 4.994746+4 8.912509-4 4.394972+4 9.772372-4 3.895449+4 1.083927-3 3.375371+4 1.202264-3 2.904167+4 1.350000-3 2.434480+4 1.500000-3 2.059000+4 1.678804-3 1.709375+4 1.883649-3 1.403065+4 2.113489-3 1.143625+4 2.400000-3 9.053680+3 2.722701-3 7.123973+3 3.090295-3 5.557417+3 3.500000-3 4.321900+3 3.935501-3 3.388049+3 4.466836-3 2.586297+3 5.069907-3 1.959358+3 5.754399-3 1.473266+3 6.531306-3 1.099101+3 7.413102-3 8.136283+2 8.413951-3 5.977420+2 9.549926-3 4.359082+2 1.083927-2 3.156383+2 1.230269-2 2.269571+2 1.412538-2 1.571575+2 1.621810-2 1.079807+2 1.862087-2 7.363546+1 2.137962-2 4.984515+1 2.483133-2 3.240212+1 2.884032-2 2.090266+1 3.349654-2 1.338656+1 3.935501-2 8.224243+0 4.731513-2 4.675469+0 5.688529-2 2.637219+0 7.244360-2 1.233055+0 1.462177-1 1.330316-1 1.798871-1 6.942463-2 2.162719-1 3.922517-2 2.511886-1 2.483269-2 2.884032-1 1.639701-2 3.273407-1 1.128535-2 3.715352-1 7.824909-3 4.168694-1 5.649175-3 4.677351-1 4.108593-3 5.188000-1 3.105691-3 5.754399-1 2.363572-3 6.382635-1 1.811752-3 7.079458-1 1.399143-3 7.852356-1 1.088721-3 8.709636-1 8.506480-4 9.332543-1 7.263699-4 9.885531-1 6.405462-4 1.071519+0 5.421053-4 1.161449+0 4.618857-4 1.273503+0 3.875011-4 1.412538+0 3.207580-4 1.698244+0 2.314972-4 1.927525+0 1.863151-4 2.187762+0 1.511814-4 2.483133+0 1.235581-4 2.851018+0 9.989881-5 3.273407+0 8.136923-5 3.801894+0 6.564761-5 4.466836+0 5.249808-5 5.248075+0 4.229659-5 6.309573+0 3.331615-5 7.585776+0 2.644161-5 9.332543+0 2.055155-5 1.148154+1 1.608847-5 1.462177+1 1.218764-5 1.862087+1 9.297825-6 2.454709+1 6.870487-6 3.507519+1 4.688893-6 5.308844+1 3.035905-6 9.015711+1 1.758402-6 1.717908+2 9.123850-7 3.427678+2 4.543785-7 1.364583+3 1.135783-7 1.000000+5 1.547400-9 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 2.406400-4 6.478000-5 1.000000+5 6.478000-5 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.406400-4 1.638300-8 1.000000+5 1.638300-8 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.406400-4 1.758436-4 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 2.195600-4 3.351900+5 2.500000-4 3.205106+5 2.851018-4 3.037931+5 3.200000-4 2.868152+5 3.507519-4 2.718531+5 3.801894-4 2.574314+5 4.120975-4 2.420977+5 4.466836-4 2.258165+5 4.897788-4 2.068954+5 5.308844-4 1.905174+5 5.800000-4 1.727108+5 6.456542-4 1.520256+5 7.079458-4 1.353270+5 7.852356-4 1.177961+5 8.709636-4 1.018261+5 9.700000-4 8.685680+4 1.083927-3 7.318473+4 1.216186-3 6.081560+4 1.364583-3 5.016000+4 1.531087-3 4.108025+4 1.737801-3 3.272178+4 1.972423-3 2.585378+4 2.238721-3 2.026892+4 2.511886-3 1.614059+4 2.818383-3 1.277498+4 3.198895-3 9.808728+3 3.630781-3 7.476025+3 4.120975-3 5.657502+3 4.677351-3 4.249420+3 5.248075-3 3.254634+3 5.888437-3 2.477277+3 6.683439-3 1.821396+3 7.585776-3 1.328643+3 8.511380-3 9.908660+2 9.660509-3 7.123707+2 1.096478-2 5.084866+2 1.244515-2 3.603978+2 1.412538-2 2.536611+2 1.603245-2 1.773189+2 1.840772-2 1.190737+2 2.113489-2 7.934013+1 2.426610-2 5.246636+1 2.786121-2 3.445005+1 3.198895-2 2.246628+1 3.715352-2 1.403674+1 4.365158-2 8.395787+0 5.128614-2 4.986714+0 6.237348-2 2.625576+0 7.943282-2 1.178182+0 1.059254-1 4.502619-1 1.445440-1 1.589053-1 1.757924-1 8.301159-2 2.089296-1 4.715404-2 2.398833-1 3.019168-2 2.722701-1 2.020349-2 3.054921-1 1.411882-2 3.427678-1 9.940778-3 3.801894-1 7.299672-3 4.216965-1 5.399364-3 4.677351-1 4.024809-3 5.128614-1 3.120870-3 5.623413-1 2.436226-3 6.165950-1 1.915263-3 6.760830-1 1.516976-3 7.413102-1 1.210099-3 8.511380-1 8.713417-4 9.120108-1 7.437712-4 9.772372-1 6.392710-4 1.047129+0 5.537094-4 1.148154+0 4.606063-4 1.258925+0 3.860010-4 1.396368+0 3.190943-4 1.678804+0 2.300492-4 1.905461+0 1.850308-4 2.162719+0 1.500292-4 2.454709+0 1.225395-4 2.818383+0 9.901410-5 3.235937+0 8.060171-5 3.758374+0 6.499137-5 4.415704+0 5.194505-5 5.188000+0 4.182909-5 6.165950+0 3.342045-5 7.413102+0 2.649989-5 9.120108+0 2.057893-5 1.122018+1 1.609740-5 1.428894+1 1.218447-5 1.840772+1 9.172337-6 2.454709+1 6.692075-6 3.507519+1 4.567110-6 5.308844+1 2.957055-6 8.912509+1 1.733061-6 1.698244+2 8.991031-7 3.388442+2 4.477407-7 1.348963+3 1.119143-7 1.000000+5 1.507200-9 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 2.195600-4 5.450300-5 1.000000+5 5.450300-5 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.195600-4 9.909400-9 1.000000+5 9.909400-9 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.195600-4 1.650471-4 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.222800-4 4.993280+5 1.236000-4 6.063840+5 1.244515-4 6.818186+5 1.252000-4 7.491560+5 1.258925-4 8.108270+5 1.265500-4 8.671720+5 1.271000-4 9.115360+5 1.277000-4 9.562160+5 1.283000-4 9.963760+5 1.288500-4 1.028680+6 1.295000-4 1.060740+6 1.302000-4 1.087612+6 1.308000-4 1.104240+6 1.315000-4 1.116512+6 1.322000-4 1.121396+6 1.330000-4 1.118960+6 1.337500-4 1.110032+6 1.345000-4 1.095704+6 1.353000-4 1.075648+6 1.365000-4 1.038776+6 1.375000-4 1.003844+6 1.390000-4 9.477000+5 1.407000-4 8.823120+5 1.430000-4 7.958800+5 1.460000-4 6.912840+5 1.492000-4 5.922000+5 1.531087-4 4.889215+5 1.603245-4 3.457603+5 1.635000-4 2.999672+5 1.660000-4 2.702156+5 1.680000-4 2.499680+5 1.705000-4 2.286208+5 1.720000-4 2.177080+5 1.740000-4 2.051340+5 1.760000-4 1.946196+5 1.780000-4 1.859472+5 1.800000-4 1.789072+5 1.820000-4 1.733224+5 1.842000-4 1.686724+5 1.865000-4 1.652856+5 1.885000-4 1.634196+5 1.908000-4 1.623612+5 1.930000-4 1.623024+5 1.950000-4 1.629548+5 1.980000-4 1.650096+5 2.000000-4 1.669928+5 2.040000-4 1.721432+5 2.089296-4 1.801551+5 2.162719-4 1.942362+5 2.317395-4 2.272265+5 2.401600-4 2.450718+5 2.483133-4 2.613177+5 2.570396-4 2.771893+5 2.660725-4 2.917333+5 2.754229-4 3.047105+5 2.851018-4 3.159926+5 2.951209-4 3.255141+5 3.054921-4 3.332395+5 3.162278-4 3.391537+5 3.280000-4 3.434568+5 3.427678-4 3.460646+5 3.589219-4 3.459786+5 3.758374-4 3.432888+5 3.935501-4 3.383327+5 4.120975-4 3.312958+5 4.350000-4 3.207356+5 4.600000-4 3.078156+5 4.850000-4 2.941544+5 5.150000-4 2.773296+5 5.495409-4 2.580882+5 5.888437-4 2.371739+5 6.237348-4 2.196988+5 6.700000-4 1.982804+5 7.161434-4 1.790862+5 7.673615-4 1.600883+5 8.317638-4 1.393711+5 9.000000-4 1.208116+5 9.772372-4 1.032546+5 1.059254-3 8.794665+4 1.161449-3 7.260828+4 1.258925-3 6.099280+4 1.380384-3 4.962747+4 1.530000-3 3.906612+4 1.659587-3 3.214520+4 1.840772-3 2.489104+4 2.041738-3 1.912066+4 2.300000-3 1.398832+4 2.570396-3 1.035875+4 2.900000-3 7.407400+3 3.235937-3 5.417426+3 3.589219-3 4.002631+3 4.027170-3 2.836744+3 4.466836-3 2.066659+3 5.000000-3 1.453268+3 5.559043-3 1.036388+3 6.237348-3 7.124787+2 7.000000-3 4.857240+2 7.852356-3 3.292073+2 8.810489-3 2.213528+2 1.000000-2 1.419936+2 1.135011-2 9.038423+1 1.288250-2 5.710602+1 1.462177-2 3.582527+1 1.678804-2 2.137709+1 1.927525-2 1.265988+1 2.213095-2 7.443208+0 2.570396-2 4.155992+0 3.019952-2 2.202373+0 3.630781-2 1.057357+0 4.518559-2 4.386299-1 8.912509-2 2.789132-2 1.096478-1 1.210237-2 1.303167-1 6.075144-3 1.531088-1 3.216184-3 1.757924-1 1.877321-3 2.018366-1 1.103893-3 2.290868-1 6.833053-4 2.570396-1 4.448831-4 2.884032-1 2.917969-4 3.198895-1 2.010910-4 3.548134-1 1.395612-4 3.935501-1 9.754057-5 4.365158-1 6.863183-5 4.786301-1 5.055664-5 5.188000-1 3.892980-5 5.688529-1 2.908891-5 6.237348-1 2.189066-5 6.839117-1 1.658960-5 7.498942-1 1.266943-5 8.609938-1 8.528395-6 9.120108-1 7.280413-6 9.549926-1 6.454441-6 1.000000+0 5.760100-6 1.047129+0 5.179237-6 1.096478+0 4.690163-6 1.148154+0 4.273053-6 1.216186+0 3.829783-6 1.318257+0 3.311786-6 1.513561+0 2.614800-6 1.819701+0 1.894632-6 2.018366+0 1.589678-6 2.290868+0 1.293250-6 2.600160+0 1.059582-6 3.000000+0 8.527000-7 3.467369+0 6.897182-7 4.027170+0 5.580048-7 4.731513+0 4.474132-7 5.559043+0 3.614042-7 6.683439+0 2.853671-7 8.128305+0 2.238217-7 1.011579+1 1.720159-7 1.258925+1 1.332447-7 1.621810+1 9.989893-8 2.238721+1 6.996160-8 3.235937+1 4.706319-8 4.786301+1 3.116083-8 7.852356+1 1.866883-8 1.428894+2 1.013249-8 2.851018+2 5.040172-9 1.135011+3 1.258677-9 1.000000+5 1.42580-11 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.222800-4 3.612800-5 1.000000+5 3.612800-5 1 59000 7 7 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.222800-4 1.249600-8 1.000000+5 1.249600-8 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.222800-4 8.613950-5 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.185900-4 7.452120+5 1.193000-4 8.384340+5 1.200000-4 9.355740+5 1.207000-4 1.034670+6 1.212000-4 1.105632+6 1.218000-4 1.189278+6 1.223000-4 1.256910+6 1.227000-4 1.309134+6 1.232000-4 1.371366+6 1.238000-4 1.440396+6 1.245000-4 1.511820+6 1.252000-4 1.571976+6 1.257000-4 1.607532+6 1.262000-4 1.636698+6 1.268100-4 1.663614+6 1.275000-4 1.682886+6 1.283000-4 1.691364+6 1.290000-4 1.687728+6 1.298000-4 1.672656+6 1.305000-4 1.651512+6 1.315000-4 1.611048+6 1.325000-4 1.561758+6 1.337200-4 1.493936+6 1.350000-4 1.417944+6 1.365000-4 1.327050+6 1.380384-4 1.235163+6 1.401000-4 1.117629+6 1.430000-4 9.667380+5 1.462177-4 8.204450+5 1.560000-4 5.017104+5 1.590000-4 4.367508+5 1.610000-4 4.005210+5 1.635000-4 3.623046+5 1.650000-4 3.427782+5 1.670000-4 3.203010+5 1.690000-4 3.015072+5 1.705000-4 2.895828+5 1.725600-4 2.759403+5 1.740000-4 2.681022+5 1.760000-4 2.592960+5 1.780000-4 2.526630+5 1.800000-4 2.479584+5 1.820000-4 2.449638+5 1.842000-4 2.434086+5 1.865000-4 2.434842+5 1.890000-4 2.452608+5 1.915000-4 2.485350+5 1.940000-4 2.530632+5 1.980000-4 2.623914+5 2.020000-4 2.736432+5 2.089296-4 2.960313+5 2.220000-4 3.422790+5 2.300000-4 3.704778+5 2.380000-4 3.973062+5 2.454709-4 4.205034+5 2.511886-4 4.368050+5 2.600160-4 4.592843+5 2.691535-4 4.790975+5 2.786121-4 4.961284+5 2.884032-4 5.103917+5 3.000000-4 5.233038+5 3.126079-4 5.328813+5 3.240000-4 5.379186+5 3.350000-4 5.399454+5 3.507519-4 5.389185+5 3.672823-4 5.340464+5 3.850000-4 5.254458+5 4.050000-4 5.126544+5 4.265795-4 4.960476+5 4.518559-4 4.744774+5 4.786301-4 4.506657+5 5.069907-4 4.250944+5 5.400000-4 3.956160+5 5.800000-4 3.617238+5 6.200000-4 3.302820+5 6.606934-4 3.008142+5 7.150000-4 2.658432+5 7.673615-4 2.363026+5 8.317638-4 2.050296+5 9.000000-4 1.771638+5 9.850000-4 1.485876+5 1.070000-3 1.255170+5 1.174898-3 1.028914+5 1.273503-3 8.610214+4 1.400000-3 6.935880+4 1.548817-3 5.460115+4 1.698244-3 4.358428+4 1.862087-3 3.457271+4 2.065380-3 2.644757+4 2.300000-3 1.986414+4 2.570396-3 1.465635+4 2.851018-3 1.095748+4 3.162278-3 8.135671+3 3.507519-3 5.998584+3 3.935501-3 4.241479+3 4.365158-3 3.083385+3 4.841724-3 2.226339+3 5.370318-3 1.596921+3 6.025596-3 1.095584+3 6.760830-3 7.457979+2 7.585776-3 5.038239+2 8.511380-3 3.379336+2 9.549926-3 2.250687+2 1.083927-2 1.428098+2 1.230269-2 8.993397+1 1.396368-2 5.621853+1 1.584893-2 3.488843+1 1.819701-2 2.056829+1 2.089296-2 1.203168+1 2.398833-2 6.986226+0 2.786121-2 3.848555+0 3.273407-2 2.009830+0 3.935501-2 9.489021-1 4.897788-2 3.858384-1 6.237348-2 1.416442-1 8.810489-2 3.373820-2 1.071519-1 1.505794-2 1.258925-1 7.800766-3 1.462177-1 4.266879-3 1.659587-1 2.578242-3 1.883649-1 1.569389-3 2.113489-1 1.006543-3 2.344229-1 6.793331-4 2.600160-1 4.618285-4 2.851018-1 3.299756-4 3.126079-1 2.374229-4 3.427678-1 1.720956-4 3.722400-1 1.298677-4 4.073803-1 9.627374-5 4.415705-1 7.417126-5 4.841724-1 5.546787-5 5.308844-1 4.178719-5 5.754399-1 3.283945-5 6.095369-1 2.777958-5 6.606935-1 2.215311-5 7.161434-1 1.779462-5 8.709636-1 1.064577-5 9.225714-1 9.215830-6 9.772372-1 8.037271-6 1.023293+0 7.250079-6 1.083927+0 6.417027-6 1.148154+0 5.714952-6 1.230269+0 5.007012-6 1.333521+0 4.321347-6 1.778279+0 2.609316-6 2.000000+0 2.137300-6 2.264644+0 1.744608-6 2.570396+0 1.428499-6 2.951209+0 1.157215-6 3.427678+0 9.286466-7 4.000000+0 7.459400-7 4.677351+0 6.017533-7 5.495409+0 4.858212-7 6.606934+0 3.834302-7 8.035261+0 3.005872-7 1.000000+1 2.309200-7 1.244515+1 1.787985-7 1.584893+1 1.357642-7 2.089296+1 9.993646-8 2.630268+1 7.783213-8 3.630781+1 5.515910-8 5.495409+1 3.573626-8 9.440609+1 2.046712-8 1.862087+2 1.026090-8 3.715352+2 5.112236-9 1.479108+3 1.278325-9 1.000000+5 1.88810-11 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.185900-4 3.403200-5 1.000000+5 3.403200-5 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.185900-4 8.455800-5 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 7.650000-6 8.379461+4 7.852356-6 8.427067+4 8.100000-6 8.544687+4 8.350000-6 8.714581+4 8.609938-6 8.949732+4 8.912509-6 9.286004+4 9.225714-6 9.707550+4 9.600000-6 1.029712+5 1.000000-5 1.102458+5 1.050000-5 1.206173+5 1.109175-5 1.345709+5 1.188502-5 1.558546+5 1.318257-5 1.962050+5 1.650000-5 3.253245+5 1.819701-5 4.032615+5 2.000000-5 4.922456+5 2.150000-5 5.694692+5 2.300000-5 6.473936+5 2.454709-5 7.269712+5 2.600160-5 7.997514+5 2.754229-5 8.729970+5 2.917427-5 9.452318+5 3.090295-5 1.015602+6 3.273407-5 1.082865+6 3.467369-5 1.145986+6 3.672823-5 1.205103+6 3.900000-5 1.262238+6 4.168694-5 1.319400+6 4.466836-5 1.371775+6 4.731513-5 1.408634+6 5.011872-5 1.437827+6 5.308844-5 1.458533+6 5.623413-5 1.468814+6 5.956621-5 1.468384+6 6.309573-5 1.457682+6 6.683439-5 1.437060+6 7.161434-5 1.402905+6 7.762471-5 1.352321+6 8.413951-5 1.294713+6 9.120108-5 1.230355+6 9.772372-5 1.169722+6 1.047129-4 1.104779+6 1.122018-4 1.035560+6 1.202264-4 9.648581+5 1.303167-4 8.818742+5 1.412538-4 7.995355+5 1.500000-4 7.390300+5 1.603245-4 6.731176+5 1.720000-4 6.051567+5 1.820000-4 5.528476+5 1.972423-4 4.826045+5 2.137962-4 4.174058+5 2.317395-4 3.574580+5 2.483133-4 3.107343+5 2.660725-4 2.682889+5 2.851018-4 2.301391+5 3.090295-4 1.909336+5 3.349654-4 1.571488+5 3.630781-4 1.283635+5 3.935501-4 1.041016+5 4.265795-4 8.386685+4 4.623810-4 6.713439+4 5.069907-4 5.167224+4 5.559043-4 3.947518+4 6.095369-4 2.994560+4 6.683439-4 2.256722+4 7.328245-4 1.689582+4 8.128305-4 1.211032+4 9.015711-4 8.617912+3 1.000000-3 6.090280+3 1.109175-3 4.275320+3 1.244515-3 2.863572+3 1.396368-3 1.903056+3 1.566751-3 1.255287+3 1.757924-3 8.219702+2 1.972423-3 5.342276+2 2.213095-3 3.446153+2 2.483133-3 2.206678+2 2.786121-3 1.402765+2 3.126079-3 8.853454+1 3.388442-3 6.381919+1 3.845918-3 3.781886+1 4.415704-3 2.120475+1 4.954502-3 1.299922+1 5.559043-3 7.903280+0 6.309573-3 4.534517+0 7.244360-3 2.452881+0 8.317638-3 1.316789+0 9.660509-3 6.658602-1 1.148154-2 3.009916-1 1.318257-2 1.583601-1 1.500000-2 8.630305-2 1.737801-2 4.279905-2 2.018366-2 2.081269-2 2.398833-2 8.985377-3 2.917427-2 3.439958-3 3.801894-2 9.298632-4 6.165950-2 8.473105-5 7.673615-2 2.884989-5 9.120108-2 1.239926-5 1.047129-1 6.350741-6 1.188502-1 3.462276-6 1.348963-1 1.901411-6 1.513561-1 1.110708-6 1.698244-1 6.541556-7 1.905461-1 3.881456-7 2.162719-1 2.201929-7 2.398833-1 1.394756-7 2.630268-1 9.363232-8 2.851018-1 6.651453-8 3.090295-1 4.756718-8 3.349654-1 3.425931-8 3.672823-1 2.371461-8 4.265795-1 1.318738-8 4.677351-1 9.252376-9 5.069907-1 6.833834-9 5.495409-1 5.087746-9 5.956621-1 3.816955-9 6.382635-1 3.005852-9 6.918310-1 2.291791-9 7.498942-1 1.760090-9 8.035261-1 1.409715-9 8.511380-1 1.163446-9 8.912509-1 1.003815-9 9.225714-1 9.02938-10 9.549926-1 8.16263-10 9.885531-1 7.42203-10 1.023293+0 6.79333-10 1.059254+0 6.25609-10 1.096478+0 5.79260-10 1.148154+0 5.26608-10 1.202264+0 4.82120-10 1.288250+0 4.26236-10 1.380384+0 3.79572-10 1.500000+0 3.32090-10 1.883649+0 2.23282-10 2.065380+0 1.91310-10 2.344229+0 1.55865-10 2.691535+0 1.25614-10 3.090295+0 1.02005-10 3.589219+0 8.20555-11 4.216965+0 6.54392-11 4.954502+0 5.25829-11 5.888437+0 4.19301-11 7.079458+0 3.31862-11 8.609938+0 2.60872-11 1.059254+1 2.03650-11 1.333521+1 1.55904-11 1.737801+1 1.15614-11 2.400000+1 8.10820-12 3.467369+1 5.46724-12 5.248075+1 3.53895-12 8.810489+1 2.07377-12 1.678804+2 1.07574-12 3.349654+2 5.35649-13 1.333521+3 1.33879-13 1.000000+5 1.78240-15 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 7.650000-6 7.650000-6 1.000000+5 7.650000-6 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 7.650000-6 0.0 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 7.240000-6 1.191150+5 7.413102-6 1.196557+5 7.600000-6 1.207654+5 7.852356-6 1.230875+5 8.100000-6 1.261423+5 8.413951-6 1.311053+5 8.709636-6 1.367950+5 9.015711-6 1.436081+5 9.350000-6 1.520412+5 9.772372-6 1.640923+5 1.023293-5 1.788022+5 1.083927-5 2.003868+5 1.174898-5 2.369913+5 1.412538-5 3.526430+5 1.621810-5 4.741826+5 1.800000-5 5.891809+5 1.950000-5 6.918600+5 2.113489-5 8.074909+5 2.264644-5 9.151687+5 2.400000-5 1.010454+6 2.540973-5 1.106300+6 2.691535-5 1.203497+6 2.851018-5 1.299834+6 3.019952-5 1.393107+6 3.198895-5 1.481631+6 3.400000-5 1.569993+6 3.589219-5 1.643161+6 3.845918-5 1.728059+6 4.120975-5 1.804518+6 4.415704-5 1.870767+6 4.731513-5 1.924874+6 5.011872-5 1.959431+6 5.308844-5 1.981007+6 5.650000-5 1.989708+6 5.956621-5 1.983963+6 6.309573-5 1.963800+6 6.683439-5 1.932738+6 7.161434-5 1.881165+6 7.762471-5 1.809860+6 8.511380-5 1.716078+6 9.120108-5 1.638594+6 9.800000-5 1.552204+6 1.047129-4 1.465870+6 1.122018-4 1.372634+6 1.230269-4 1.244752+6 1.348963-4 1.117433+6 1.445440-4 1.023250+6 1.540000-4 9.387623+5 1.659587-4 8.409222+5 1.778279-4 7.539612+5 1.900000-4 6.752760+5 2.050000-4 5.908300+5 2.213095-4 5.119927+5 2.371374-4 4.467294+5 2.540973-4 3.870465+5 2.722701-4 3.330903+5 2.917427-4 2.848285+5 3.162278-4 2.355236+5 3.435600-4 1.921398+5 3.715352-4 1.573936+5 4.027170-4 1.272888+5 4.365158-4 1.022641+5 4.786301-4 7.901952+4 5.248075-4 6.059648+4 5.754399-4 4.613408+4 6.309573-4 3.487548+4 6.918310-4 2.618866+4 7.673615-4 1.883548+4 8.511380-4 1.344350+4 9.440609-4 9.523793+3 1.059254-3 6.441385+3 1.174898-3 4.500097+3 1.318257-3 2.997975+3 1.479108-3 1.982361+3 1.659587-3 1.301151+3 1.862087-3 8.478887+2 2.137962-3 5.029677+2 2.371374-3 3.377378+2 2.630268-3 2.251412+2 2.884032-3 1.556184+2 3.198895-3 1.019982+2 3.672823-3 5.755701+1 4.168694-3 3.387516+1 4.677351-3 2.078058+1 5.188000-3 1.330308+1 5.888437-3 7.648355+0 6.683439-3 4.363494+0 7.673615-3 2.347565+0 8.810489-3 1.253375+0 1.011579-2 6.643658-1 1.216186-2 2.823592-1 1.396368-2 1.475776-1 1.603245-2 7.657529-2 1.757924-2 4.920613-2 2.041738-2 2.377343-2 2.398833-2 1.077398-2 3.054921-2 3.256506-3 4.073803-2 7.766243-4 7.328245-2 4.141238-5 8.709636-2 1.760366-5 1.011580-1 8.447812-6 1.148154-1 4.568125-6 1.288250-1 2.629549-6 1.428894-1 1.609732-6 1.584893-1 9.926497-7 1.757924-1 6.164087-7 1.949845-1 3.855797-7 2.162719-1 2.427936-7 2.371374-1 1.621233-7 2.583000-1 1.122700-7 2.786121-1 8.166516-8 3.019952-1 5.860402-8 3.235937-1 4.436169-8 3.507519-1 3.231089-8 3.801894-1 2.370339-8 4.216965-1 1.605222-8 4.570882-1 1.193873-8 4.897788-1 9.324190-9 5.188000-1 7.632647-9 5.559043-1 6.043363-9 5.956621-1 4.817705-9 6.382635-1 3.867798-9 6.839117-1 3.125333-9 7.413102-1 2.455564-9 7.943282-1 2.005674-9 8.511380-1 1.649345-9 9.101600-1 1.374400-9 9.549926-1 1.210535-9 1.000000+0 1.079300-9 1.047129+0 9.70014-10 1.096478+0 8.78173-10 1.148154+0 7.99977-10 1.216186+0 7.17005-10 1.318257+0 6.20172-10 1.513561+0 4.89951-10 1.819701+0 3.54998-10 2.018366+0 2.97866-10 2.290868+0 2.42342-10 2.600160+0 1.98550-10 2.985383+0 1.60939-10 3.467369+0 1.29235-10 4.027170+0 1.04558-10 4.731513+0 8.38355-11 5.559043+0 6.77181-11 6.683439+0 5.34707-11 8.128305+0 4.19379-11 1.011579+1 3.22310-11 1.258925+1 2.49666-11 1.603245+1 1.89628-11 2.162719+1 1.36147-11 2.884032+1 9.97313-12 4.073803+1 6.91294-12 6.237348+1 4.43497-12 1.096478+2 2.48549-12 2.187762+2 1.23362-12 4.365158+2 6.15133-13 3.467369+3 7.70948-14 1.000000+5 2.67160-15 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 7.240000-6 7.240000-6 1.000000+5 7.240000-6 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 7.240000-6 0.0 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 4.330000-5 5.938700+4 4.786301-5 7.520637+4 4.960000-5 8.130660+4 5.150000-5 8.772040+4 5.350000-5 9.408740+4 5.559043-5 1.002196+5 5.754399-5 1.054299+5 5.956621-5 1.102791+5 6.165950-5 1.147048+5 6.400000-5 1.189480+5 6.650000-5 1.226758+5 6.918310-5 1.257876+5 7.161434-5 1.278576+5 7.448100-5 1.294677+5 7.800000-5 1.303854+5 8.150000-5 1.303604+5 8.518900-5 1.295606+5 9.015711-5 1.275963+5 9.549926-5 1.247635+5 1.023293-4 1.205742+5 1.096478-4 1.157718+5 1.174898-4 1.104764+5 1.260000-4 1.046850+5 1.364583-4 9.768857+4 1.479108-4 9.042219+4 1.640590-4 8.120532+4 1.840772-4 7.151407+4 2.041738-4 6.333206+4 2.317395-4 5.413343+4 2.722701-4 4.395514+4 3.126079-4 3.649518+4 3.758374-4 2.824463+4 4.518559-4 2.166839+4 5.370318-4 1.678528+4 6.456542-4 1.269049+4 7.762471-4 9.522423+3 9.332543-4 7.089824+3 1.122018-3 5.236480+3 1.348963-3 3.837174+3 1.640590-3 2.735136+3 2.018366-3 1.895723+3 2.454709-3 1.331478+3 3.019952-3 9.092102+2 3.758374-3 6.031027+2 4.677351-3 3.970863+2 5.688529-3 2.712824+2 6.918310-3 1.839755+2 8.413951-3 1.237902+2 1.011579-2 8.462069+1 1.216186-2 5.740150+1 1.462177-2 3.863597+1 1.757924-2 2.579637+1 2.137962-2 1.665734+1 2.540973-2 1.124693+1 3.000000-2 7.652749+0 3.507519-2 5.279177+0 4.120975-2 3.573195+0 4.897788-2 2.333489+0 5.821032-2 1.512077+0 6.998420-2 9.444164-1 8.317638-2 6.032078-1 1.023293-1 3.491306-1 1.318257-1 1.774488-1 2.317395-1 3.866465-2 2.851018-1 2.222366-2 3.388442-1 1.410471-2 3.890451-1 9.869111-3 4.415705-1 7.161261-3 5.011872-1 5.234585-3 5.623413-1 3.965397-3 6.309573-1 3.026259-3 7.079458-1 2.327774-3 7.852356-1 1.850712-3 8.709636-1 1.480016-3 9.549926-1 1.221280-3 1.059254+0 9.919838-4 1.202264+0 7.746331-4 1.348963+0 6.231058-4 1.513561+0 5.047661-4 1.698244+0 4.116759-4 1.927525+0 3.315065-4 2.187762+0 2.690289-4 2.483133+0 2.198760-4 2.851018+0 1.777713-4 3.273407+0 1.447926-4 3.801894+0 1.168122-4 4.466836+0 9.341504-5 5.248075+0 7.526421-5 6.309573+0 5.928448-5 7.585776+0 4.705218-5 9.332543+0 3.657028-5 1.148154+1 2.862765-5 1.462177+1 2.168767-5 1.840772+1 1.675671-5 2.454709+1 1.222547-5 3.507519+1 8.343827-6 5.248075+1 5.467179-6 8.912509+1 3.166073-6 1.698244+2 1.642543-6 3.388442+2 8.179622-7 1.348963+3 2.044436-7 1.000000+5 2.753500-9 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 4.330000-5 4.330000-5 1.000000+5 4.330000-5 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.330000-5 0.0 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.726000-5 6.746819+6 2.884032-5 5.553729+6 3.400000-5 3.109520+6 3.715352-5 2.259050+6 4.168694-5 1.479398+6 4.841724-5 8.507269+5 5.308844-5 6.091693+5 5.688529-5 4.769843+5 6.095369-5 3.759019+5 6.500000-5 3.031900+5 6.918310-5 2.479215+5 7.300000-5 2.099740+5 7.673615-5 1.811824+5 8.035261-5 1.591680+5 8.413951-5 1.407667+5 8.810489-5 1.253739+5 9.225714-5 1.124544+5 9.660509-5 1.015670+5 1.011579-4 9.234830+4 1.060000-4 8.439000+4 1.120000-4 7.649160+4 1.183500-4 6.987597+4 1.244515-4 6.476604+4 1.318257-4 5.979101+4 1.400000-4 5.538560+4 1.500000-4 5.109220+4 1.640590-4 4.639353+4 1.850000-4 4.112920+4 2.900000-4 2.682800+4 3.388442-4 2.294499+4 3.890451-4 1.983827+4 4.415704-4 1.724235+4 5.011872-4 1.489301+4 5.688529-4 1.277217+4 6.456542-4 1.087749+4 7.413102-4 9.052933+3 8.413951-4 7.590906+3 9.549926-4 6.316237+3 1.083927-3 5.214592+3 1.230269-3 4.272130+3 1.396368-3 3.473626+3 1.584893-3 2.803358+3 1.798871-3 2.245912+3 2.041738-3 1.786579+3 2.317395-3 1.411505+3 2.630268-3 1.107485+3 3.000000-3 8.546020+2 3.427678-3 6.523272+2 3.890451-3 5.010588+2 4.415704-3 3.821557+2 5.011872-3 2.893900+2 5.688529-3 2.175632+2 6.456542-3 1.623580+2 7.328245-3 1.202471+2 8.317638-3 8.840105+1 9.440609-3 6.452696+1 1.071519-2 4.675925+1 1.216186-2 3.365000+1 1.462177-2 2.064724+1 1.640590-2 1.510692+1 1.862087-2 1.063654+1 2.162719-2 6.969592+0 2.511886-2 4.530480+0 2.917427-2 2.922614+0 3.388442-2 1.871648+0 4.027170-2 1.110259+0 4.841724-2 6.308893-1 5.888437-2 3.431263-1 7.585776-2 1.546252-1 1.188502-1 3.720665-2 1.548817-1 1.610230-2 1.883649-1 8.727980-3 2.238721-1 5.119014-3 2.600160-1 3.246450-3 2.985383-1 2.147743-3 3.388442-1 1.481204-3 3.845918-1 1.029275-3 4.315191-1 7.446662-4 4.841724-1 5.427893-4 5.370318-1 4.111466-4 5.956621-1 3.135801-4 6.606935-1 2.409693-4 7.328245-1 1.865680-4 8.609938-1 1.267810-4 9.225714-1 1.081189-4 9.772372-1 9.522223-5 1.047129+0 8.239395-5 1.135011+0 7.006911-5 1.244515+0 5.866555-5 1.380384+0 4.848056-5 1.678804+0 3.425400-5 1.905461+0 2.754914-5 2.137962+0 2.276116-5 2.426610+0 1.857925-5 2.786121+0 1.500242-5 3.198895+0 1.220498-5 3.715352+0 9.835350-6 4.365158+0 7.856693-6 5.128614+0 6.323282-6 6.095369+0 5.049678-6 7.328245+0 4.002184-6 9.015711+0 3.106763-6 1.109175+1 2.429063-6 1.412538+1 1.837993-6 1.819701+1 1.383133-6 2.454709+1 9.963283-7 3.507519+1 6.799879-7 5.308844+1 4.402635-7 9.015711+1 2.549989-7 1.717908+2 1.323185-7 3.427678+2 6.589433-8 1.364583+3 1.647098-8 1.000000+5 2.24410-10 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.726000-5 2.726000-5 1.000000+5 2.726000-5 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.726000-5 0.0 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.426000-5 1.413228+7 2.786121-5 8.423054+6 4.000000-5 2.214228+6 4.315191-5 1.682473+6 4.623810-5 1.319083+6 4.900000-5 1.082404+6 5.188000-5 8.971245+5 5.495409-5 7.482648+5 5.754399-5 6.512176+5 6.025596-5 5.702243+5 6.309573-5 5.026287+5 6.606934-5 4.461993+5 6.918310-5 3.990494+5 7.244360-5 3.595948+5 7.585776-5 3.265352+5 7.943282-5 2.986909+5 8.317638-5 2.751034+5 8.709636-5 2.549637+5 9.225714-5 2.336186+5 9.800000-5 2.147540+5 1.047129-4 1.972091+5 1.135011-4 1.792177+5 1.247200-4 1.615892+5 1.412538-4 1.421783+5 1.949845-4 1.030043+5 2.317395-4 8.605854+4 2.691535-4 7.317257+4 3.090295-4 6.257097+4 3.589219-4 5.240512+4 4.120975-4 4.416942+4 4.786301-4 3.640508+4 5.432503-4 3.069958+4 6.237348-4 2.530503+4 7.140000-4 2.079052+4 8.128305-4 1.709581+4 9.225714-4 1.401888+4 1.047129-3 1.141560+4 1.188502-3 9.229178+3 1.348963-3 7.408678+3 1.531087-3 5.905498+3 1.737801-3 4.674468+3 1.972423-3 3.674784+3 2.264644-3 2.805149+3 2.570396-3 2.174755+3 2.917427-3 1.674705+3 3.311311-3 1.281033+3 3.758374-3 9.732092+2 4.265795-3 7.342235+2 4.841724-3 5.499921+2 5.495409-3 4.089593+2 6.237348-3 3.018491+2 7.079458-3 2.211502+2 8.035261-3 1.608201+2 9.120108-3 1.160418+2 1.035142-2 8.314741+1 1.174898-2 5.912737+1 1.333521-2 4.174737+1 1.531087-2 2.833793+1 1.757924-2 1.908990+1 2.018366-2 1.276098+1 2.317395-2 8.463938+0 2.660725-2 5.573351+0 3.054921-2 3.644766+0 3.548134-2 2.283419+0 4.168694-2 1.369411+0 4.954502-2 7.855779-1 5.956621-2 4.303868-1 7.413102-2 2.089117-1 1.011580-1 7.411990-2 1.428894-1 2.332823-2 1.737801-1 1.219227-2 2.065380-1 6.926230-3 2.371374-1 4.432979-3 2.691535-1 2.964826-3 3.019952-1 2.070571-3 3.388442-1 1.456742-3 3.758374-1 1.068903-3 4.168694-1 7.899856-4 4.623810-1 5.883885-4 5.069907-1 4.559259-4 5.559043-1 3.556965-4 6.095369-1 2.794394-4 6.683439-1 2.211427-4 7.328245-1 1.762579-4 8.317638-1 1.303194-4 9.015711-1 1.081944-4 9.660509-1 9.290164-5 1.035142+0 8.038811-5 1.135011+0 6.681255-5 1.250000+0 5.547500-5 1.380384+0 4.619817-5 1.659587+0 3.328305-5 1.883649+0 2.675258-5 2.113489+0 2.208569-5 2.398833+0 1.801545-5 2.754229+0 1.453871-5 3.162278+0 1.182138-5 3.672823+0 9.520729-6 4.315191+0 7.601173-6 5.069907+0 6.114329-6 6.025596+0 4.880518-6 7.244360+0 3.866325-6 8.810489+0 3.041880-6 1.083927+1 2.376553-6 1.380384+1 1.796797-6 1.778279+1 1.351159-6 2.426610+1 9.606765-7 3.507519+1 6.475665-7 5.308844+1 4.192666-7 9.015711+1 2.428399-7 1.737801+2 1.245427-7 3.467369+2 6.202905-8 1.380384+3 1.550499-8 1.000000+5 2.13700-10 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.426000-5 2.426000-5 1.000000+5 2.426000-5 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.426000-5 0.0 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 4.890000-6 2.874159+6 5.308844-6 1.948219+6 5.623413-6 1.475995+6 5.956621-6 1.111617+6 6.309573-6 8.321129+5 6.700000-6 6.105620+5 7.100000-6 4.494980+5 7.500000-6 3.341780+5 7.943282-6 2.431354+5 8.413951-6 1.755466+5 9.700000-6 7.743120+4 1.011579-5 6.120521+4 1.035142-5 5.402218+4 1.060000-5 4.771320+4 1.085000-5 4.247340+4 1.110000-5 3.816420+4 1.127000-5 3.568920+4 1.150000-5 3.284580+4 1.172000-5 3.059800+4 1.195000-5 2.867080+4 1.216186-5 2.722437+4 1.230269-5 2.641582+4 1.250000-5 2.546400+4 1.273503-5 2.457284+4 1.290000-5 2.408460+4 1.310000-5 2.362520+4 1.333521-5 2.324689+4 1.357000-5 2.301860+4 1.385200-5 2.290805+4 1.412538-5 2.294502+4 1.445440-5 2.313945+4 1.480000-5 2.348220+4 1.531087-5 2.417888+4 1.595200-5 2.526158+4 1.850000-5 3.019300+4 1.950000-5 3.199980+4 2.070000-5 3.393980+4 2.190000-5 3.560420+4 2.317395-5 3.706227+4 2.454709-5 3.829849+4 2.600160-5 3.927697+4 2.754229-5 3.999566+4 2.917427-5 4.045501+4 3.090295-5 4.065697+4 3.273407-5 4.059523+4 3.467369-5 4.027184+4 3.672823-5 3.970989+4 3.935501-5 3.875646+4 4.220000-5 3.752260+4 4.518559-5 3.608066+4 4.841724-5 3.443011+4 5.248075-5 3.235230+4 5.688529-5 3.018768+4 6.237348-5 2.767238+4 7.000000-5 2.460980+4 7.852356-5 2.174187+4 9.225714-5 1.812522+4 1.230269-4 1.293333+4 1.428894-4 1.081098+4 1.584893-4 9.494786+3 1.757924-4 8.275088+3 1.972423-4 7.050155+3 2.317395-4 5.590015+3 3.890451-4 2.600198+3 4.677351-4 1.962498+3 6.095369-4 1.304857+3 7.328245-4 9.738514+2 9.332543-4 6.583203+2 1.122018-3 4.844091+2 1.364583-3 3.469490+2 1.640590-3 2.516437+2 2.041738-3 1.705238+2 2.540973-3 1.146630+2 3.235937-3 7.331814+1 3.981072-3 4.962852+1 4.897788-3 3.334294+1 6.000000-3 2.241402+1 7.328245-3 1.504278+1 8.810489-3 1.034276+1 1.059254-2 7.058492+0 1.273503-2 4.779543+0 1.531087-2 3.210854+0 1.819701-2 2.195073+0 2.162719-2 1.489272+0 2.570396-2 1.002481+0 3.019952-2 6.878995-1 3.589219-2 4.558228-1 4.265795-2 2.996539-1 5.069907-2 1.954525-1 6.025596-2 1.264640-1 7.244360-2 7.887475-2 8.511380-2 5.184747-2 1.047129-1 2.998494-2 1.364583-1 1.476706-2 2.344229-1 3.423887-3 2.884032-1 1.969397-3 3.427678-1 1.251006-3 3.935501-1 8.761814-4 4.466836-1 6.364632-4 5.011872-1 4.790822-4 5.623413-1 3.631762-4 6.237348-1 2.848960-4 6.918310-1 2.249753-4 7.673615-1 1.788647-4 8.511380-1 1.431812-4 9.440609-1 1.154601-4 1.047129+0 9.382486-5 1.202264+0 7.164699-5 1.348963+0 5.761400-5 1.513561+0 4.664646-5 1.698244+0 3.804064-5 1.927525+0 3.063458-5 2.187762+0 2.486236-5 2.483133+0 2.031971-5 2.851018+0 1.642799-5 3.273407+0 1.338053-5 3.801894+0 1.079523-5 4.466836+0 8.632874-6 5.248075+0 6.955355-6 6.309573+0 5.478668-6 7.585776+0 4.348229-6 9.332543+0 3.379520-6 1.148154+1 2.645617-6 1.462177+1 2.004177-6 1.862087+1 1.529002-6 2.454709+1 1.129816-6 3.507519+1 7.710666-7 5.308844+1 4.992262-7 9.015711+1 2.891546-7 1.737801+2 1.482972-7 3.467369+2 7.385805-8 1.380384+3 1.846222-8 1.000000+5 2.54460-10 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 4.890000-6 4.890000-6 1.000000+5 4.890000-6 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 4.890000-6 0.0 1.000000+5 1.000000+5 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.464000-7 1.027100+0 1.068590-6 1.027500+0 1.338400-6 1.028100+0 1.822210-6 1.028750+0 2.464000-6 1.029500+0 3.372050-6 1.030100+0 4.240760-6 1.031000+0 5.802810-6 1.032000+0 7.939690-6 1.033200+0 1.112220-5 1.034000+0 1.365350-5 1.035300+0 1.853270-5 1.036640+0 2.464000-5 1.038200+0 3.325250-5 1.039700+0 4.320160-5 1.041500+0 5.747920-5 1.043800+0 7.978300-5 1.046400+0 1.110030-4 1.048300+0 1.382020-4 1.051200+0 1.874680-4 1.054080+0 2.464000-4 1.057700+0 3.358600-4 1.061100+0 4.368710-4 1.065100+0 5.783720-4 1.070400+0 8.068950-4 1.076200+0 1.115130-3 1.080600+0 1.392620-3 1.087100+0 1.876300-3 1.093710+0 2.464000-3 1.102600+0 3.416130-3 1.110700+0 4.455040-3 1.120600+0 5.959000-3 1.133300+0 8.284760-3 1.147500+0 1.143800-2 1.158200+0 1.421440-2 1.174100+0 1.899990-2 1.190110+0 2.464000-2 1.205100+0 3.068270-2 1.227500+0 4.107860-2 1.250000+0 5.305000-2 1.265600+0 6.213610-2 1.294900+0 8.072950-2 1.320600+0 9.842730-2 1.343000+0 1.147390-1 1.382200+0 1.449010-1 1.433800+0 1.871270-1 1.500000+0 2.451000-1 1.589800+0 3.314680-1 1.665000+0 4.102120-1 1.784700+0 5.453030-1 1.892300+0 6.736420-1 2.000000+0 8.046000-1 2.044000+0 8.579000-1 2.163500+0 1.002580+0 2.372600+0 1.254140+0 2.647100+0 1.576720+0 3.000000+0 1.974000+0 3.500000+0 2.500270+0 4.000000+0 2.987000+0 4.750000+0 3.651140+0 5.000000+0 3.856000+0 6.000000+0 4.604000+0 7.000000+0 5.267000+0 8.000000+0 5.862000+0 9.000000+0 6.403000+0 1.000000+1 6.900000+0 1.100000+1 7.358000+0 1.200000+1 7.782000+0 1.300000+1 8.178000+0 1.400000+1 8.544000+0 1.500000+1 8.884000+0 1.600000+1 9.199000+0 1.800000+1 9.770000+0 2.000000+1 1.028000+1 2.200000+1 1.075000+1 2.400000+1 1.117000+1 2.600000+1 1.155000+1 2.800000+1 1.190000+1 3.000000+1 1.223000+1 4.000000+1 1.355000+1 5.000000+1 1.453000+1 6.000000+1 1.529000+1 8.000000+1 1.642000+1 1.000000+2 1.721000+1 1.500000+2 1.848000+1 2.000000+2 1.924000+1 3.000000+2 2.013000+1 4.000000+2 2.064000+1 5.000000+2 2.097000+1 6.000000+2 2.121000+1 8.000000+2 2.153000+1 1.000000+3 2.174000+1 1.500000+3 2.204000+1 2.000000+3 2.220000+1 3.000000+3 2.238000+1 4.000000+3 2.248000+1 5.000000+3 2.254000+1 6.000000+3 2.258000+1 8.000000+3 2.263000+1 1.000000+4 2.267000+1 1.500000+4 2.271000+1 2.000000+4 2.274000+1 3.000000+4 2.277000+1 4.000000+4 2.278000+1 5.000000+4 2.279000+1 6.000000+4 2.280000+1 8.000000+4 2.280000+1 1.000000+5 2.281000+1 1 59000 7 8 1.409070+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 5.915880-7 2.094700+0 1.041510-6 2.099900+0 1.385580-6 2.106600+0 1.927460-6 2.114000+0 2.666880-6 2.119500+0 3.320250-6 2.127900+0 4.502890-6 2.136250+0 5.915880-6 2.147000+0 8.111090-6 2.156900+0 1.053530-5 2.169000+0 1.406010-5 2.184500+0 1.954390-5 2.201800+0 2.703960-5 2.214800+0 3.368930-5 2.234200+0 4.531800-5 2.253680+0 5.915880-5 2.281500+0 8.286230-5 2.307000+0 1.088390-4 2.338200+0 1.463440-4 2.377400+0 2.026680-4 2.410200+0 2.577600-4 2.446800+0 3.278850-4 2.485900+0 4.128250-4 2.532900+0 5.283290-4 2.556430+0 5.915880-4 2.611900+0 7.543450-4 2.660400+0 9.119690-4 2.745300+0 1.220620-3 2.809000+0 1.478250-3 2.904500+0 1.904360-3 3.000000+0 2.377000-3 3.125000+0 3.064860-3 3.234400+0 3.728960-3 3.425800+0 5.020740-3 3.569300+0 6.087380-3 3.784700+0 7.824060-3 4.000000+0 9.691000-3 4.250000+0 1.197390-2 4.625000+0 1.556180-2 5.000000+0 1.929000-2 5.500000+0 2.440180-2 6.000000+0 2.958000-2 6.750000+0 3.729190-2 7.000000+0 3.983000-2 8.000000+0 4.975000-2 9.000000+0 5.922000-2 1.000000+1 6.822000-2 1.100000+1 7.673000-2 1.200000+1 8.474000-2 1.300000+1 9.228000-2 1.400000+1 9.946000-2 1.500000+1 1.062000-1 1.600000+1 1.127000-1 1.800000+1 1.246000-1 2.000000+1 1.355000-1 2.200000+1 1.454000-1 2.400000+1 1.545000-1 2.600000+1 1.629000-1 2.800000+1 1.706000-1 3.000000+1 1.779000-1 4.000000+1 2.077000-1 5.000000+1 2.303000-1 6.000000+1 2.482000-1 8.000000+1 2.751000-1 1.000000+2 2.946000-1 1.500000+2 3.269000-1 2.000000+2 3.471000-1 3.000000+2 3.719000-1 4.000000+2 3.868000-1 5.000000+2 3.970000-1 6.000000+2 4.045000-1 8.000000+2 4.148000-1 1.000000+3 4.217000-1 1.500000+3 4.321000-1 2.000000+3 4.380000-1 3.000000+3 4.445000-1 4.000000+3 4.483000-1 5.000000+3 4.506000-1 6.000000+3 4.523000-1 8.000000+3 4.545000-1 1.000000+4 4.559000-1 1.500000+4 4.578000-1 2.000000+4 4.589000-1 3.000000+4 4.600000-1 4.000000+4 4.607000-1 5.000000+4 4.611000-1 6.000000+4 4.613000-1 8.000000+4 4.616000-1 1.000000+5 4.618000-1 1 59000 7 8 1.409070+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 59000 7 9 1.409070+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 5.900000+1 1.000000+5 5.900000+1 5.000000+5 5.896800+1 7.500000+5 5.893640+1 1.000000+6 5.891400+1 1.250000+6 5.887530+1 1.500000+6 5.883400+1 1.875000+6 5.874200+1 2.000000+6 5.870700+1 2.375000+6 5.859130+1 2.500000+6 5.854900+1 2.875000+6 5.841020+1 3.000000+6 5.836000+1 3.250000+6 5.824860+1 3.625000+6 5.808100+1 4.000000+6 5.790600+1 4.437500+6 5.768860+1 4.812500+6 5.749020+1 5.000000+6 5.738600+1 5.500000+6 5.709170+1 5.875000+6 5.686140+1 6.437500+6 5.650300+1 6.500000+6 5.646280+1 7.000000+6 5.614500+1 7.875000+6 5.557800+1 9.000000+6 5.483200+1 1.000000+7 5.415700+1 1.250000+7 5.250900+1 1.500000+7 5.084100+1 1.750000+7 4.916800+1 2.000000+7 4.749300+1 2.250000+7 4.581330+1 2.375000+7 4.498090+1 2.500000+7 4.416900+1 2.875000+7 4.182380+1 3.000000+7 4.108600+1 3.437500+7 3.865510+1 3.500000+7 3.832710+1 3.812500+7 3.676260+1 4.000000+7 3.588200+1 4.500000+7 3.369620+1 5.000000+7 3.170300+1 5.500000+7 2.985820+1 6.000000+7 2.814400+1 6.750000+7 2.580330+1 7.000000+7 2.508700+1 8.000000+7 2.254300+1 9.000000+7 2.049100+1 1.000000+8 1.885800+1 1.125000+8 1.725860+1 1.250000+8 1.595000+1 1.375000+8 1.480490+1 1.468800+8 1.400120+1 1.500000+8 1.374100+1 1.562500+8 1.322540+1 1.671900+8 1.234020+1 1.750000+8 1.172050+1 1.753900+8 1.168970+1 1.815400+8 1.120940+1 1.907700+8 1.050030+1 2.000000+8 9.808300+0 2.281300+8 7.968670+0 2.359400+8 7.580780+0 2.375000+8 7.510340+0 2.453100+8 7.195740+0 2.500000+8 7.035500+0 2.562500+8 6.854030+0 2.671900+8 6.593450+0 2.877000+8 6.164960+0 2.959000+8 5.982730+0 3.000000+8 5.885400+0 3.117200+8 5.585330+0 3.377000+8 4.959530+0 3.500000+8 4.735300+0 3.617200+8 4.576490+0 4.000000+8 4.207100+0 4.179700+8 4.024250+0 4.330100+8 3.861000+0 4.497600+8 3.676050+0 4.750000+8 3.402910+0 4.784700+8 3.366630+0 5.000000+8 3.150600+0 5.343800+8 2.839000+0 5.578100+8 2.645040+0 5.859400+8 2.426410+0 6.000000+8 2.322100+0 6.562500+8 1.956270+0 6.718800+8 1.877570+0 6.906300+8 1.798690+0 7.000000+8 1.765600+0 7.125000+8 1.728150+0 8.000000+8 1.545000+0 8.250000+8 1.487120+0 1.000000+9 1.103700+0 1.031300+9 1.064100+0 1.074300+9 1.027040+0 1.113800+9 9.953550-1 1.162000+9 9.594260-1 1.362000+9 8.359080-1 1.411300+9 8.105080-1 1.470400+9 7.821620-1 1.500000+9 7.687500-1 1.560500+9 7.310870-1 1.615500+9 6.955710-1 1.686000+9 6.497530-1 1.764500+9 5.999690-1 1.823400+9 5.642330-1 1.911700+9 5.140910-1 2.000000+9 4.685200-1 2.139200+9 4.058450-1 2.272600+9 3.549440-1 2.443000+9 3.006380-1 2.602800+9 2.586130-1 2.825100+9 2.114190-1 2.961100+9 1.877230-1 3.215900+9 1.515120-1 3.536500+9 1.174080-1 3.804800+9 9.593530-2 4.103600+9 7.747650-2 4.423800+9 6.236070-2 4.807900+9 4.877590-2 5.000000+9 4.337700-2 5.375000+9 3.483100-2 6.031300+9 2.440930-2 7.015600+9 1.517780-2 8.000000+9 1.000400-2 1.00000+10 4.920400-3 1.27030+10 2.313560-3 1.55700+10 1.225150-3 2.00890+10 5.567300-4 2.65200+10 2.377270-4 3.11120+10 1.462950-4 3.97230+10 6.995090-5 5.38510+10 2.812140-5 7.03330+10 1.271850-5 1.00000+11 4.503500-6 1.34280+11 1.898650-6 1.77440+11 8.425820-7 2.63330+11 2.684480-7 4.88110+11 4.557490-8 1.16740+12 3.820440-9 3.55150+12 1.67483-10 1.00000+14 1.57230-14 2.05350+15 3.38814-18 1.00000+17 6.04040-23 1 59000 7 0 1.409070+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.16000-11 1.000000+2 1.160000-9 1.000000+3 1.160000-7 1.000000+4 1.160000-5 1.000000+5 1.160000-3 5.000000+5 2.900000-2 7.500000+5 6.525000-2 1.000000+6 1.160000-1 1.250000+6 1.801120-1 1.500000+6 2.569000-1 1.875000+6 3.938830-1 2.000000+6 4.450000-1 2.375000+6 6.128780-1 2.500000+6 6.733000-1 2.875000+6 8.655970-1 3.000000+6 9.331000-1 3.250000+6 1.072050+0 3.625000+6 1.288980+0 4.000000+6 1.513100+0 4.437500+6 1.779510+0 4.812500+6 2.009280+0 5.000000+6 2.124000+0 5.500000+6 2.426630+0 5.875000+6 2.650000+0 6.437500+6 2.977950+0 6.500000+6 3.013710+0 7.000000+6 3.296300+0 7.875000+6 3.772300+0 9.000000+6 4.361900+0 1.000000+7 4.876000+0 1.250000+7 6.171400+0 1.500000+7 7.489000+0 1.750000+7 8.790600+0 2.000000+7 1.005100+1 2.250000+7 1.126820+1 2.375000+7 1.186210+1 2.500000+7 1.244700+1 2.875000+7 1.414400+1 3.000000+7 1.468800+1 3.437500+7 1.648530+1 3.500000+7 1.672930+1 3.812500+7 1.789420+1 4.000000+7 1.855400+1 4.500000+7 2.017070+1 5.000000+7 2.164400+1 5.500000+7 2.301870+1 6.000000+7 2.433100+1 6.750000+7 2.621160+1 7.000000+7 2.681800+1 8.000000+7 2.914500+1 9.000000+7 3.131100+1 1.000000+8 3.330400+1 1.125000+8 3.552690+1 1.250000+8 3.745100+1 1.375000+8 3.909550+1 1.468800+8 4.017810+1 1.500000+8 4.051500+1 1.562500+8 4.115610+1 1.671900+8 4.218460+1 1.750000+8 4.285950+1 1.753900+8 4.289210+1 1.815400+8 4.339100+1 1.907700+8 4.409520+1 2.000000+8 4.475700+1 2.281300+8 4.653010+1 2.359400+8 4.697450+1 2.375000+8 4.705830+1 2.453100+8 4.747210+1 2.500000+8 4.771600+1 2.562500+8 4.802150+1 2.671900+8 4.854310+1 2.877000+8 4.943090+1 2.959000+8 4.975940+1 3.000000+8 4.992100+1 3.117200+8 5.035950+1 3.377000+8 5.124620+1 3.500000+8 5.163400+1 3.617200+8 5.197620+1 4.000000+8 5.299600+1 4.179700+8 5.341110+1 4.330100+8 5.373550+1 4.497600+8 5.407470+1 4.750000+8 5.453070+1 4.784700+8 5.459160+1 5.000000+8 5.493400+1 5.343800+8 5.540360+1 5.578100+8 5.568720+1 5.859400+8 5.598110+1 6.000000+8 5.611300+1 6.562500+8 5.655510+1 6.718800+8 5.665870+1 6.906300+8 5.677430+1 7.000000+8 5.683100+1 7.125000+8 5.689700+1 8.000000+8 5.730300+1 8.250000+8 5.739280+1 1.000000+9 5.790800+1 1.031300+9 5.797640+1 1.074300+9 5.806710+1 1.113800+9 5.814740+1 1.162000+9 5.823330+1 1.362000+9 5.851600+1 1.411300+9 5.856540+1 1.470400+9 5.862230+1 1.500000+9 5.865000+1 1.560500+9 5.869370+1 1.615500+9 5.873190+1 1.686000+9 5.876950+1 1.764500+9 5.880800+1 1.823400+9 5.883440+1 1.911700+9 5.886390+1 2.000000+9 5.889200+1 2.139200+9 5.892020+1 2.272600+9 5.894550+1 2.443000+9 5.897070+1 2.602800+9 5.898580+1 2.825100+9 5.899890+1 2.961100+9 5.900340+1 3.215900+9 5.901120+1 3.536500+9 5.901070+1 3.804800+9 5.900840+1 4.103600+9 5.900610+1 4.423800+9 5.900380+1 4.807900+9 5.900120+1 5.000000+9 5.900000+1 5.375000+9 5.900000+1 6.031300+9 5.900000+1 7.015600+9 5.900000+1 8.000000+9 5.900000+1 1.00000+10 5.900000+1 1.27030+10 5.900000+1 1.55700+10 5.900000+1 2.00890+10 5.900000+1 2.65200+10 5.900000+1 3.11120+10 5.900000+1 3.97230+10 5.900000+1 5.38510+10 5.900000+1 7.03330+10 5.900000+1 1.00000+11 5.900000+1 1.34280+11 5.900000+1 1.77440+11 5.900000+1 2.63330+11 5.900000+1 4.88110+11 5.900000+1 1.16740+12 5.900000+1 3.55150+12 5.900000+1 1.00000+14 5.900000+1 2.05350+15 5.900000+1 1.00000+17 5.900000+1 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.995542-6 0.0 2.002910-6 3.141993+0 2.005366-6 4.176039+0 2.010278-6 7.627877+0 2.015189-6 1.286165+1 2.020715-6 2.110982+1 2.029234-6 3.682764+1 2.035450-6 4.746846+1 2.040199-6 5.300168+1 2.045181-6 5.486406+1 2.050337-6 5.213081+1 2.055213-6 4.590701+1 2.063316-6 3.121951+1 2.069219-6 2.050580+1 2.074438-6 1.290426+1 2.079042-6 7.888801+0 2.084108-6 4.273099+0 2.091258-6 1.131615+0 2.093713-6 2.905979-2 2.093745-6 1.453012-2 2.093762-6 7.265116-3 2.093778-6 0.0 2.124469-6 0.0 2.133620-6 7.556711+0 2.134927-6 8.625227+0 2.140156-6 1.575468+1 2.145712-6 2.748640+1 2.151268-6 4.360040+1 2.160590-6 7.700303+1 2.166629-6 9.725808+1 2.172377-6 1.098005+2 2.177513-6 1.131572+2 2.182469-6 1.084491+2 2.188158-6 9.427393+1 2.196390-6 6.533908+1 2.202906-6 4.235286+1 2.208135-6 2.734153+1 2.213364-6 1.629360+1 2.218593-6 8.963241+0 2.226437-6 2.278492+0 2.229051-6 0.0 2.876118-6 0.0 2.883197-6 4.41014-16 2.890276-6 8.72645-16 2.897356-6 1.59396-15 2.904435-6 2.68763-15 2.911514-6 4.18328-15 2.918593-6 6.01059-15 2.925672-6 7.97208-15 2.932752-6 9.76068-15 2.939831-6 1.10317-14 2.946910-6 1.15096-14 2.953989-6 1.10848-14 2.961068-6 9.85493-15 2.968148-6 8.08782-15 2.982306-6 4.28499-15 2.989385-6 2.76624-15 2.990756-6 2.55016-15 2.996464-6 3.31392-15 3.003544-6 4.60514-15 3.005479-6 5.03732-15 3.012840-6 8.08364-15 3.020202-6 1.30965-14 3.027563-6 2.03846-14 3.034925-6 2.92889-14 3.042286-6 3.88470-14 3.049647-6 4.75626-14 3.057009-6 5.37562-14 3.064370-6 5.60847-14 3.071731-6 5.40151-14 3.079093-6 4.80219-14 3.087798-6 3.76706-14 3.099198-6 1.943468-1 3.102998-6 2.583073-1 3.110598-6 4.718194-1 3.118674-6 8.231594-1 3.126560-6 1.293744+0 3.149550-6 2.936143+0 3.156675-6 3.274262+0 3.164275-6 3.399050+0 3.172350-6 3.235756+0 3.179950-6 2.851862+0 3.191351-6 2.031646+0 3.201801-6 1.268378+0 3.209401-6 8.188210-1 3.217002-6 4.879587-1 3.224602-6 2.684301-1 3.232202-6 1.363118-1 3.239802-6 0.0 3.285179-6 0.0 3.299330-6 1.645681-1 3.301352-6 1.878379-1 3.309438-6 3.431013-1 3.317524-6 5.785160-1 3.326620-6 9.495181-1 3.340645-6 1.656504+0 3.349868-6 2.101000+0 3.358965-6 2.387420+0 3.367051-6 2.466046+0 3.375137-6 2.353003+0 3.382212-6 2.121285+0 3.395352-6 1.477388+0 3.406470-6 9.223495-1 3.414556-6 5.954367-1 3.422642-6 3.548377-1 3.430728-6 1.951991-1 3.438814-6 9.912427-2 3.446901-6 0.0 3.462173-6 0.0 3.471874-6 3.787014-6 3.479216-6 1.070268-5 3.487738-6 2.083418-5 3.489032-6 2.282096-5 3.496859-6 4.570636-2 3.506208-6 1.068082-1 3.514795-6 1.960186-1 3.523383-6 3.322258-1 3.528520-6 4.441520-1 3.532841-6 6.348972-1 3.546433-6 1.304264+0 3.556040-6 1.926167+0 3.568756-6 2.941458+0 3.587255-6 4.484273+0 3.592622-6 4.869939+0 3.601469-6 5.313140+0 3.607042-6 5.477618+0 3.616629-6 5.374651+0 3.624769-6 4.981442+0 3.637172-6 3.918477+0 3.658795-6 1.800426+0 3.667480-6 1.150168+0 3.676165-6 6.846477-1 3.684850-6 3.766303-1 3.693535-6 1.912570-1 3.702220-6 0.0 3.943096-6 0.0 3.943135-6 2.66465-14 3.952840-6 1.55167-11 3.962546-6 3.06954-11 3.972251-6 5.60543-11 3.981957-6 9.44942-11 3.991662-6 1.47049-10 4.001368-6 2.11242-10 4.011073-6 2.80129-10 4.020779-6 3.42922-10 4.023077-6 3.53474-10 4.027264-6 4.959868-7 4.029909-6 1.266314-6 4.047213-6 1.774788-2 4.049896-6 3.288076-2 4.059666-6 9.409994-2 4.067136-6 1.468970-1 4.077098-6 2.544567-1 4.087060-6 4.088751-1 4.101018-6 7.026264-1 4.119181-6 1.126276+0 4.129100-6 1.310520+0 4.139019-6 1.414296+0 4.146830-6 1.430682+0 4.158290-6 1.320597+0 4.171606-6 1.063300+0 4.191416-6 6.024118-1 4.198534-6 4.533787-1 4.206600-6 3.115849-1 4.216562-6 1.837957-1 4.226524-6 9.607835-2 4.228291-6 8.595735-2 4.242008-6 2.133407-2 4.246447-6 4.05524-12 4.262891-6 1.88676-11 4.273332-6 3.44574-11 4.283773-6 5.80910-11 4.288270-6 7.19848-11 4.297385-6 3.290038-3 4.309380-6 2.879845-2 4.318540-6 5.014514-2 4.329118-6 8.993604-2 4.339695-6 1.490534-1 4.351600-6 2.400046-1 4.376706-6 4.663055-1 4.383265-6 5.178191-1 4.393820-6 5.720646-1 4.404470-6 5.840540-1 4.415311-6 5.493233-1 4.426152-6 4.758375-1 4.448214-6 2.883346-1 4.457150-6 2.219399-1 4.467566-6 1.674886-1 4.477202-6 1.418913-1 4.480979-6 1.395097-1 4.488979-6 1.431524-1 4.499686-6 1.650806-1 4.508935-6 1.906124-1 4.524666-6 2.599019-1 4.535588-6 2.982204-1 4.546510-6 3.158936-1 4.557432-6 3.144993-1 4.591556-6 2.528639-1 4.606441-6 2.374714-1 4.623022-6 2.363061-1 4.645924-6 2.437656-1 4.788001-6 2.123288-1 4.821021-6 1.949027-1 4.851218-6 1.860892-1 4.935924-6 1.905616-1 5.444243-6 1.345310-1 5.697191-6 1.129581-1 5.725237-6 1.165681-1 5.739260-6 1.202700-1 5.753837-6 1.267740-1 5.785483-6 1.498318-1 5.809374-6 1.690529-1 5.824648-6 1.766401-1 5.838811-6 1.782378-1 5.852973-6 1.738362-1 5.867135-6 1.642603-1 5.907535-6 1.262770-1 5.921557-6 1.153459-1 5.935580-6 1.070586-1 5.949603-6 1.012513-1 5.977649-6 9.351657-2 6.096551-6 8.638105-2 6.141569-6 9.102209-2 6.171581-6 1.010666-1 6.216598-6 1.241318-1 6.231604-6 1.293244-1 6.248394-6 1.306720-1 6.263773-6 1.284293-1 6.321639-6 1.035259-1 6.336645-6 9.994434-2 6.351651-6 9.877121-2 6.406848-6 1.003056-1 6.421870-6 9.857077-2 6.437260-6 9.471233-2 6.499750-6 7.347977-2 6.514210-6 7.021035-2 6.560379-6 6.614029-2 6.595270-6 6.857600-2 6.643030-6 7.389616-2 6.674870-6 7.588821-2 6.727229-6 7.529562-2 6.762003-6 7.871541-2 6.809719-6 8.595203-2 6.821320-6 8.656166-2 6.842358-6 8.469890-2 6.860539-6 8.149060-2 6.922160-6 6.738515-2 6.958215-6 6.391814-2 6.987187-6 6.306279-2 7.056225-6 6.707174-2 7.098587-6 6.621986-2 7.181655-6 5.717735-2 7.216474-6 5.667052-2 7.318408-6 5.996232-2 7.417491-6 5.883867-2 7.493087-6 5.626522-2 7.592257-6 5.175311-2 7.664072-6 5.187016-2 7.777121-6 5.318512-2 8.240997-6 4.865768-2 8.750580-6 4.621696-2 9.350000-6 4.642788-2 1.005626-5 5.009959-2 1.087553-5 5.815976-2 1.195415-5 7.414817-2 1.307712-5 9.653239-2 1.459478-5 1.355373-1 1.611012-5 1.849697-1 1.797429-5 2.600300-1 1.955371-5 3.364842-1 1.964997-5 2.488150+0 1.969810-5 4.265029+0 1.974623-5 6.957888+0 1.976540-5 8.422461+0 1.979436-5 1.635226+1 1.986270-5 3.617341+1 1.991135-5 5.658473+1 1.996000-5 8.429976+1 2.003913-5 1.440575+2 2.013606-5 2.215064+2 2.017232-5 2.433994+2 2.022282-5 2.604748+2 2.025927-5 2.614916+2 2.031333-5 2.423514+2 2.036988-5 2.027506+2 2.049515-5 9.423616+1 2.054380-5 6.065334+1 2.059245-5 3.630468+1 2.064110-5 2.015014+1 2.071408-5 5.419968+0 2.073840-5 3.991677-1 2.189371-5 4.659644-1 2.200149-5 7.280389-1 2.205538-5 9.425038-1 2.210927-5 1.265972+0 2.216316-5 1.707109+0 2.232482-5 3.349731+0 2.244209-5 4.229414+0 2.250848-5 4.442307+0 2.261929-5 1.556147+1 2.267469-5 2.490160+1 2.273355-5 4.018618+1 2.279001-5 5.999317+1 2.294439-5 1.235378+2 2.300336-5 1.401839+2 2.302959-5 1.438104+2 2.308011-5 1.450740+2 2.313240-5 1.369947+2 2.319779-5 1.155786+2 2.333951-5 5.716210+1 2.339491-5 3.892501+1 2.345031-5 2.551428+1 2.350715-5 1.656178+1 2.361652-5 5.948041+0 2.414099-5 5.463212+0 2.484839-5 5.241544+0 2.503460-5 5.355641+0 2.516525-5 5.628839+0 2.534672-5 6.233500+0 2.564348-5 7.361981+0 2.582831-5 8.545104+0 2.595325-5 8.926770+0 2.604403-5 8.628715+0 2.623870-5 7.522123+0 2.630064-5 7.302833+0 2.644114-5 7.230589+0 2.668869-5 7.354344+0 2.753430-5 6.927150+0 3.001046-5 5.856256+0 3.266670-5 5.092692+0 3.600945-5 4.466625+0 3.981474-5 4.054460+0 4.059298-5 4.072953+0 4.157476-5 3.932767+0 4.691363-5 3.785082+0 5.579079-5 3.839847+0 9.118294-5 4.386940+0 1.082554-4 4.481072+0 1.086644-4 5.299653+0 1.087883-4 1.053181+1 1.091993-4 2.846216+1 1.094668-4 4.768683+1 1.097342-4 7.645371+1 1.100424-4 1.225502+2 1.108041-4 2.566801+2 1.110961-4 2.886577+2 1.113690-4 2.969094+2 1.116441-4 2.814829+2 1.119952-4 2.351618+2 1.125187-4 1.547312+2 1.126984-4 1.325212+2 1.129438-4 1.121162+2 1.131085-4 1.074257+2 1.132288-4 1.068503+2 1.134913-4 1.166240+2 1.140832-4 1.634174+2 1.143925-4 1.907894+2 1.146105-4 1.992700+2 1.147306-4 2.020962+2 1.150205-4 1.927177+2 1.153248-4 1.672882+2 1.161234-4 7.571307+1 1.163721-4 5.242390+1 1.166471-4 3.347635+1 1.169216-4 2.094404+1 1.174636-4 5.659207+0 1.183735-4 6.092142+0 1.196760-4 6.865374+0 1.219480-4 7.402369+0 1.265237-4 8.962677+0 1.297023-4 9.479026+0 1.331647-4 9.421206+0 1.492806-4 7.052253+0 1.585728-4 6.068910+0 1.675000-4 5.476242+0 1.785000-4 5.089531+0 1.933160-4 4.942811+0 2.104051-4 5.066923+0 2.125663-4 5.370548+0 2.152715-4 6.252578+0 2.168503-4 6.373973+0 2.208930-4 6.222528+0 2.339813-4 6.544161+0 2.427058-4 6.980112+0 2.920576-4 7.879802+0 2.991141-4 8.483358+0 3.603715-4 9.078989+0 4.415704-4 9.251883+0 5.607251-4 8.830410+0 9.052202-4 6.772281+0 9.096763-4 1.283649+1 9.119690-4 1.809838+1 9.142705-4 2.617967+1 9.166928-4 3.793674+1 9.229080-4 7.498404+1 9.256773-4 8.624672+1 9.279019-4 9.156691+1 9.303457-4 9.064461+1 9.377227-4 7.542121+1 9.403201-4 7.433301+1 9.475256-4 7.991407+1 9.503353-4 7.758877+1 9.539434-4 6.989372+1 9.609460-4 4.808101+1 9.620919-4 4.508134+1 9.643866-4 4.076893+1 9.666559-4 3.800357+1 9.711430-4 3.457237+1 1.006199-3 3.449074+1 1.168345-3 2.842960+1 1.202044-3 2.770903+1 1.211072-3 2.851556+1 1.227790-3 3.108250+1 1.282215-3 2.908327+1 1.308446-3 2.902474+1 1.329864-3 2.974105+1 1.460646-3 2.652127+1 1.508854-3 2.649041+1 1.794346-3 2.132416+1 2.084791-3 1.748913+1 2.416219-3 1.424895+1 2.812305-3 1.147290+1 3.171131-3 9.624331+0 3.612145-3 7.921328+0 4.133225-3 6.452975+0 4.677351-3 5.329554+0 5.338394-3 4.330624+0 5.807887-3 3.798401+0 5.848955-3 3.989150+0 5.872360-3 4.358671+0 5.895454-3 5.042080+0 5.917178-3 5.997848+0 5.966719-3 8.543256+0 5.991023-3 9.414079+0 6.019574-3 9.950381+0 6.075462-3 1.010098+1 6.325168-3 9.621011+0 6.374239-3 9.979792+0 6.477238-3 1.199065+1 6.537465-3 1.229676+1 6.721004-3 1.199388+1 6.862388-3 1.298132+1 7.067847-3 1.262911+1 8.184431-3 1.005725+1 9.329291-3 8.152288+0 1.049885-2 6.724893+0 1.186854-2 5.497265+0 1.355924-2 4.398089+0 1.548817-2 3.508371+0 1.758551-2 2.819388+0 1.953308-2 2.349432+0 2.178337-2 1.941088+0 2.447954-2 1.579951+0 2.752991-2 1.282035+0 3.068303-2 1.055836+0 3.478753-2 8.421242-1 3.945915-2 6.700062-1 4.099237-2 6.298828-1 4.120975-2 6.509230-1 4.134342-2 6.975784-1 4.144464-2 7.664720-1 4.153828-2 8.670430-1 4.164926-2 1.042723+0 4.177919-2 1.331263+0 4.195804-2 1.843748+0 4.223206-2 2.640554+0 4.242292-2 3.021525+0 4.266606-2 3.249610+0 4.313246-2 3.291332+0 5.015029-2 2.582644+0 5.711087-2 2.085179+0 6.494185-2 1.677087+0 7.309905-2 1.367370+0 8.323624-2 1.089873+0 9.273969-2 9.000675-1 1.046112-1 7.257102-1 1.185414-1 5.794125-1 1.327077-1 4.722549-1 1.480107-1 3.874237-1 1.659587-1 3.147573-1 1.856187-1 2.568993-1 2.053677-1 2.139002-1 2.285924-1 1.765943-1 2.559323-1 1.444748-1 2.863645-1 1.187795-1 3.185811-1 9.900284-2 3.578904-1 8.148233-2 3.973381-1 6.876058-2 4.424462-1 5.803838-2 4.968783-1 4.870045-2 5.579342-1 4.118129-2 6.420162-1 3.400951-2 7.182076-1 2.944950-2 8.258409-1 2.488869-2 9.441234-1 2.143552-2 1.120601+0 1.786094-2 1.347258+0 1.458800-2 1.619761+0 1.191481-2 1.947381+0 9.731474-3 2.235892+0 8.360788-3 2.688134+0 6.828709-3 3.231848+0 5.577378-3 3.885536+0 4.555347-3 4.671441+0 3.720600-3 5.616308+0 3.038816-3 6.752287+0 2.481966-3 8.118035+0 2.027156-3 9.760024+0 1.655689-3 1.000000+1 3.389266-3 1 59000 7 0 1.409070+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-5.832926+1 1.609232-6-5.586597+1 1.828601-6-5.222899+1 1.918591-6-4.795070+1 1.960698-6-4.336219+1 1.981859-6-3.876036+1 1.992295-6-3.462412+1 2.005366-6-2.574609+1 2.010892-6-2.151437+1 2.016878-6-1.767895+1 2.020715-6-1.628344+1 2.023401-6-1.622743+1 2.026241-6-1.695969+1 2.029234-6-1.896961+1 2.032764-6-2.297696+1 2.034836-6-2.625981+1 2.039547-6-3.533526+1 2.045181-6-4.878304+1 2.049742-6-5.877541+1 2.056193-6-4.678418+1 2.060782-6-4.170814+1 2.064307-6-3.993152+1 2.068830-6-3.992254+1 2.074438-6-4.294890+1 2.093625-6-5.868173+1 2.098792-6-5.396781+1 2.116943-6-4.035653+1 2.122683-6-3.433867+1 2.126581-6-2.821298+1 2.134273-6-1.875656+1 2.140156-6-1.016833+1 2.141096-6-8.663410+0 2.145385-6-3.393151+0 2.145712-6-2.880749+0 2.146325-6-2.180372+0 2.147397-6-1.241875+0 2.150614-6 8.228059-1 2.151268-6 1.232110+0 2.152412-6 1.441288+0 2.153270-6 1.370907+0 2.154557-6 9.852258-1 2.155844-6 3.744974-1 2.156497-6-3.624332-2 2.157641-6-1.110790+0 2.158499-6-2.146347+0 2.159142-6-3.050094+0 2.160108-6-4.624066+0 2.160590-6-5.524974+0 2.162380-6-9.467069+0 2.164096-6-1.369707+1 2.165888-6-1.911803+1 2.170497-6-3.637601+1 2.174243-6-5.356563+1 2.175517-6-5.881742+1 2.178318-6-4.459436+1 2.181889-6-2.853979+1 2.182469-6-2.545373+1 2.183582-6-2.068483+1 2.187218-6-7.017367+0 2.187545-6-5.691849+0 2.188158-6-3.576299+0 2.189230-6-3.244509-1 2.190034-6 1.867687+0 2.191241-6 4.867307+0 2.193101-6 9.114911+0 2.194245-6 1.118723+1 2.195103-6 1.249406+1 2.197033-6 1.471927+1 2.199964-6 1.637583+1 2.202170-6 1.655473+1 2.205520-6 1.479536+1 2.207481-6 1.329826+1 2.208788-6 1.154138+1 2.212220-6 7.773590+0 2.212792-6 7.018313+0 2.213364-6 6.073862+0 2.218593-6-1.059080+0 2.219247-6-2.079912+0 2.220390-6-3.535530+0 2.226437-6-1.024395+1 2.228397-6-1.280839+1 2.229683-6-1.511304+1 2.232834-6-1.879018+1 2.237848-6-2.285898+1 2.245298-6-2.718118+1 2.257523-6-3.204552+1 2.276629-6-3.692153+1 2.308655-6-4.174712+1 2.367887-6-4.638721+1 2.487945-6-5.049303+1 2.779910-6-5.395186+1 3.095398-6-5.663116+1 3.145171-6-5.709574+1 3.194201-6-5.368978+1 3.341782-6-5.679958+1 3.404449-6-5.438489+1 3.572869-6-5.823662+1 3.615564-6-5.446164+1 3.648502-6-5.199226+1 3.775034-6-5.475685+1 4.129100-6-5.620651+1 4.206600-6-5.509852+1 4.404470-6-5.591971+1 1.202156-5-5.908688+1 1.551738-5-5.506877+1 1.708810-5-5.040665+1 1.797429-5-4.503698+1 1.852770-5-3.894482+1 1.881557-5-3.390758+1 1.901846-5-2.888973+1 1.916572-5-2.398419+1 1.927066-5-1.948534+1 1.936529-5-1.435774+1 1.941261-5-1.126118+1 1.945992-5-7.682431+0 1.948358-5-5.664589+0 1.950724-5-3.455181+0 1.953047-5-1.048043+0 1.954209-5 2.760568-1 1.955371-5 1.762026+0 1.960187-5 8.024811+0 1.963794-5 1.324307+1 1.968606-5 2.175231+1 1.973419-5 3.257064+1 1.976061-5 4.069248+1 1.977535-5 4.674836+1 1.981144-5 5.696068+1 1.986270-5 7.026347+1 1.992807-5 8.728778+1 1.996737-5 9.443736+1 2.000445-5 9.514655+1 2.003913-5 9.122931+1 2.006954-5 8.271092+1 2.010088-5 6.906527+1 2.012271-5 5.586902+1 2.015286-5 3.142259+1 2.016546-5 2.022682+1 2.017232-5 1.293711+1 2.019228-5-6.410007+0 2.020102-5-1.515314+1 2.021014-5-2.513626+1 2.021866-5-3.557514+1 2.024152-5-6.086615+1 2.025170-5-4.792105+1 2.025767-5-3.971171+1 2.026237-5-3.422814+1 2.030889-5 1.395642+1 2.031040-5 1.587304+1 2.031333-5 1.907316+1 2.032361-5 2.890664+1 2.036152-5 6.018108+1 2.038505-5 7.487008+1 2.041612-5 8.829215+1 2.044977-5 9.696588+1 2.048239-5 9.946925+1 2.053772-5 9.020995+1 2.059245-5 7.302734+1 2.065782-5 5.093357+1 2.072624-5 3.182978+1 2.073840-5 2.708632+1 2.074583-5 2.398406+1 2.076432-5 1.849143+1 2.078843-5 1.286969+1 2.080219-5 1.011054+1 2.081423-5 7.892478+0 2.083530-5 4.365702+0 2.085110-5 1.965329+0 2.087481-5-1.314905+0 2.089851-5-4.276123+0 2.092423-5-7.191714+0 2.094995-5-9.848435+0 2.100139-5-1.453745+1 2.107855-5-2.039866+1 2.118271-5-2.678758+1 2.136146-5-3.530088+1 2.177297-5-5.014547+1 2.207611-5-6.159768+1 2.234160-5-4.873898+1 2.245038-5-4.060391+1 2.249929-5-3.466727+1 2.251021-5-3.245190+1 2.261929-5-1.667948+1 2.267469-5-7.680896+0 2.267815-5-6.949852+0 2.268464-5-5.872906+0 2.273009-5 2.609742-1 2.273355-5 8.634112-1 2.274004-5 1.662049+0 2.275141-5 2.689957+0 2.279001-5 5.052422+0 2.279878-5 5.213872+0 2.280699-5 5.109516+0 2.281469-5 4.836594+0 2.282913-5 3.924869+0 2.284176-5 2.729547+0 2.285282-5 1.389313+0 2.286249-5-9.066647-3 2.287096-5-1.408806+0 2.287836-5-2.772581+0 2.289132-5-5.488498+0 2.290104-5-7.823280+0 2.291380-5-1.133563+1 2.292610-5-1.536555+1 2.296387-5-3.039325+1 2.300996-5-5.296055+1 2.302618-5-6.229822+1 2.306773-5-4.011942+1 2.308011-5-3.220405+1 2.312337-5-1.006664+1 2.312899-5-6.632666+0 2.313240-5-4.771118+0 2.313878-5-1.622533+0 2.314995-5 3.359303+0 2.318835-5 1.896826+1 2.320665-5 2.496318+1 2.323052-5 3.100766+1 2.325607-5 3.585822+1 2.328475-5 3.955547+1 2.330871-5 4.122814+1 2.333225-5 4.134718+1 2.338799-5 3.700159+1 2.344425-5 2.920186+1 2.351344-5 1.800264+1 2.360772-5 5.387672+0 2.361212-5 4.632986+0 2.362174-5 2.571850+0 2.363184-5 9.691492-1 2.363924-5-2.773827-2 2.364132-5-3.089335-1 2.365909-5-2.384547+0 2.367464-5-3.970573+0 2.370185-5-6.390913+0 2.372225-5-7.983221+0 2.375286-5-1.009863+1 2.378347-5-1.194262+1 2.386432-5-1.598884+1 2.396988-5-2.000716+1 2.414099-5-2.472670+1 2.437427-5-2.916152+1 2.484839-5-3.496438+1 2.534672-5-3.929787+1 2.580334-5-4.090756+1 2.613007-5-3.959014+1 2.691535-5-4.142516+1 3.095431-5-4.448390+1 4.321244-5-4.775451+1 7.673615-5-5.325275+1 8.517011-5-5.635055+1 9.321903-5-5.052675+1 9.798274-5-4.406605+1 1.005600-4-3.835593+1 1.023293-4-3.265336+1 1.036800-4-2.661734+1 1.047082-4-2.043879+1 1.053326-4-1.567152+1 1.058471-4-1.093198+1 1.061481-4-7.715546+0 1.064116-4-4.567787+0 1.066420-4-1.509694+0 1.068437-4 1.441541+0 1.070202-4 4.270309+0 1.071746-4 6.963985+0 1.074279-4 1.191087+1 1.077124-4 1.845622+1 1.079500-4 2.501236+1 1.081791-4 3.269670+1 1.084343-4 4.370479+1 1.085997-4 5.306158+1 1.087341-4 6.399996+1 1.091736-4 9.150444+1 1.095002-4 1.160241+2 1.098262-4 1.358301+2 1.100806-4 1.432763+2 1.102697-4 1.399238+2 1.104689-4 1.286518+2 1.106181-4 1.145630+2 1.107853-4 9.096960+1 1.110010-4 5.208012+1 1.110627-4 3.892683+1 1.110961-4 3.035585+1 1.111265-4 2.372472+1 1.112327-4 1.853526+0 1.112593-4-3.707862+0 1.112942-4-1.130735+1 1.113222-4-1.791719+1 1.113369-4-2.188462+1 1.113534-4-2.664195+1 1.114108-4-3.966660+1 1.114907-4-5.584541+1 1.115197-4-5.202609+1 1.116013-4-3.496345+1 1.116288-4-2.828814+1 1.116719-4-1.995731+1 1.117193-4-1.189262+1 1.117579-4-5.823606+0 1.118840-4 1.277205+1 1.119231-4 1.788444+1 1.119952-4 2.571641+1 1.120873-4 3.364979+1 1.121885-4 4.011509+1 1.122975-4 4.462907+1 1.123983-4 4.643926+1 1.124954-4 4.560466+1 1.126369-4 3.956010+1 1.127755-4 2.992646+1 1.128526-4 2.431940+1 1.129324-4 1.730472+1 1.129576-4 1.441901+1 1.130425-4 6.447910+0 1.130742-4 3.137955+0 1.131085-4 6.349045-2 1.131599-4-4.377073+0 1.131856-4-6.703992+0 1.132048-4-8.648159+0 1.132172-4-1.019982+1 1.132506-4-1.334164+1 1.133029-4-1.738619+1 1.135079-4-3.191557+1 1.135832-4-3.532636+1 1.137039-4-3.823537+1 1.138510-4-3.893752+1 1.140681-4-3.660699+1 1.141600-4-3.274339+1 1.142228-4-2.849460+1 1.143543-4-1.711403+1 1.143925-4-1.327490+1 1.144293-4-8.952178+0 1.144416-4-7.119096+0 1.144503-4-5.754356+0 1.144673-4-3.529484+0 1.144991-4 2.753344-1 1.146383-4 1.632303+1 1.147010-4 2.454444+1 1.147306-4 2.957237+1 1.150589-4 7.253731+1 1.153804-4 1.051699+2 1.155883-4 1.173178+2 1.158580-4 1.244867+2 1.160826-4 1.239356+2 1.163721-4 1.141418+2 1.169816-4 8.321286+1 1.174364-4 6.259344+1 1.175669-4 5.519692+1 1.177300-4 4.890037+1 1.180392-4 3.985781+1 1.183735-4 3.240248+1 1.187877-4 2.518095+1 1.190368-4 2.160203+1 1.194841-4 1.622548+1 1.200560-4 1.069776+1 1.203454-4 8.294881+0 1.207686-4 5.141220+0 1.211961-4 2.317749+0 1.215721-4 9.419587-2 1.215932-4-1.870256-2 1.219480-4-1.897652+0 1.223962-4-4.020962+0 1.230212-4-6.588456+0 1.236081-4-8.656708+0 1.245219-4-1.136269+1 1.258925-4-1.450915+1 1.278523-4-1.767277+1 1.305000-4-2.041971+1 1.343948-4-2.293958+1 1.424215-4-2.611328+1 1.585728-4-3.003295+1 1.875000-4-3.405291+1 2.208930-4-3.753645+1 2.825856-4-3.600852+1 3.061622-4-3.568341+1 4.415704-4-3.269164+1 5.607251-4-3.170148+1 6.878599-4-3.235402+1 7.898443-4-3.484101+1 8.549436-4-3.857039+1 8.887386-4-4.241230+1 9.096763-4-4.693081+1 9.209603-4-5.189754+1 9.331154-4-5.877052+1 9.415295-4-5.871808+1 9.600545-4-5.303544+1 9.765456-4-4.496777+1 9.952442-4-3.952045+1 1.021323-3-3.446434+1 1.049452-3-3.088724+1 1.098619-3-2.695710+1 1.152338-3-2.442753+1 1.195713-3-2.361587+1 1.227790-3-2.460210+1 1.260285-3-2.159426+1 1.293356-3-2.002783+1 1.329864-3-1.931275+1 1.371720-3-1.695103+1 1.432954-3-1.507204+1 1.485903-3-1.430805+1 1.523477-3-1.283827+1 1.599325-3-1.101798+1 1.707126-3-9.276400+0 1.843703-3-7.740851+0 1.986667-3-6.633248+0 2.147953-3-5.770272+0 2.327736-3-5.162122+0 2.608352-3-4.637086+0 2.925836-3-4.413906+0 3.302694-3-4.450367+0 3.776135-3-4.758915+0 4.309786-3-5.361939+0 4.840853-3-6.269716+0 5.234874-3-7.302491+0 5.502775-3-8.400998+0 5.678050-3-9.555750+0 5.788667-3-1.078744+1 5.848955-3-1.200553+1 5.929129-3-1.439809+1 5.966719-3-1.460735+1 6.013025-3-1.355083+1 6.075462-3-1.183656+1 6.144707-3-1.082845+1 6.242431-3-1.025268+1 6.325168-3-1.033669+1 6.427160-3-1.109259+1 6.477238-3-1.072324+1 6.586981-3-9.002394+0 6.668536-3-8.413710+0 6.793299-3-8.204857+0 6.862388-3-7.509618+0 6.949160-3-6.495973+0 7.067847-3-5.598236+0 7.252051-3-4.642118+0 7.471675-3-3.807827+0 7.710605-3-3.110428+0 7.991041-3-2.496646+0 8.255707-3-2.037838+0 8.605099-3-1.566500+0 8.960788-3-1.201160+0 9.329291-3-9.092209-1 9.712445-3-6.837315-1 1.002797-2-5.378590-1 1.036519-2-4.125562-1 1.077870-2-2.941901-1 1.106907-2-2.280959-1 1.135754-2-1.764217-1 1.185087-2-1.049945-1 1.220320-2-7.297113-2 1.241831-2-5.879723-2 1.271234-2-4.376037-2 1.287815-2-3.727978-2 1.302712-2-3.318562-2 1.330789-2-2.828189-2 1.360316-2-2.690396-2 1.373449-2-2.706202-2 1.423925-2-3.275435-2 1.494386-2-5.430872-2 1.537226-2-7.168674-2 1.606096-2-1.054661-1 1.664526-2-1.381990-1 1.894865-2-2.874622-1 2.950048-2-1.025632+0 3.283678-2-1.293639+0 3.566654-2-1.585986+0 3.776042-2-1.895225+0 3.916482-2-2.209323+0 4.004775-2-2.510060+0 4.068745-2-2.848376+0 4.115000-2-3.270074+0 4.153828-2-3.891669+0 4.183171-2-4.359906+0 4.201590-2-4.445212+0 4.223206-2-4.258792+0 4.276356-2-3.278525+0 4.313246-2-2.806208+0 4.358629-2-2.440493+0 4.419077-2-2.106053+0 4.505572-2-1.774475+0 4.621726-2-1.455812+0 4.732827-2-1.230991+0 4.904686-2-9.761076-1 5.090004-2-7.805978-1 5.250185-2-6.504363-1 5.419875-2-5.413395-1 5.641390-2-4.281666-1 5.839083-2-3.509830-1 5.977822-2-3.070927-1 6.153220-2-2.597006-1 6.325114-2-2.210766-1 6.494185-2-1.903903-1 6.647518-2-1.681055-1 6.845382-2-1.435529-1 7.009106-2-1.277326-1 7.309905-2-1.060733-1 7.692965-2-8.704310-2 7.917899-2-7.953706-2 8.125107-2-7.502120-2 8.557629-2-7.128004-2 9.023661-2-7.296776-2 9.273969-2-7.514080-2 1.021675-1-8.995312-2 1.480107-1-1.924068-1 1.783806-1-2.458419-1 2.201086-1-2.983922-1 2.756729-1-3.435603-1 3.578904-1-3.825532-1 4.968783-1-4.147270-1 7.829788-1-4.384299-1 1.947381+0-4.519670-1 5.880996+0-4.548817-1 1.000000+1-4.548653-1 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.728548-1 1.053996-6 3.566053-1 1.084900-6 4.149947-1 1.114839-6 4.796522-1 1.143843-6 5.513029-1 1.171939-6 6.304142-1 1.199158-6 7.174706-1 1.225527-6 8.129736-1 1.251071-6 9.174428-1 1.275817-6 1.031416+0 1.299790-6 1.155448+0 1.323014-6 1.290114+0 1.345511-6 1.436008+0 1.367306-6 1.593741+0 1.388420-6 1.763947+0 1.408874-6 1.947275+0 1.428689-6 2.144396+0 1.466480-6 2.582799+0 1.501946-6 3.084906+0 1.535230-6 3.656780+0 1.566467-6 4.304861+0 1.581356-6 4.660477+0 1.595781-6 5.040219+0 1.623729-6 5.879977+0 1.649930-6 6.815982+0 1.674493-6 7.859932+0 1.697522-6 9.019985+0 1.719111-6 1.030437+1 1.739350-6 1.172149+1 1.758325-6 1.327987+1 1.776114-6 1.498811+1 1.792791-6 1.685486+1 1.808425-6 1.888880+1 1.823083-6 2.109856+1 1.836824-6 2.349269+1 1.849707-6 2.607963+1 1.861784-6 2.886767+1 1.873107-6 3.186492+1 1.883722-6 3.507927+1 1.893673-6 3.851836+1 1.903003-6 4.218958+1 1.911749-6 4.610007+1 1.919949-6 5.025666+1 1.927636-6 5.466598+1 1.934843-6 5.933451+1 1.941600-6 6.426875+1 1.947934-6 6.947534+1 1.953872-6 7.496110+1 1.959439-6 8.073289+1 1.964658-6 8.679753+1 1.969551-6 9.316191+1 1.974138-6 9.983361+1 1.978439-6 1.068218+2 1.982470-6 1.141383+2 1.990030-6 1.303884+2 1.996644-6 1.482919+2 2.002432-6 1.680447+2 2.007496-6 1.897715+2 2.011927-6 2.134373+2 2.015805-6 2.388074+2 2.019197-6 2.654694+2 2.022166-6 2.928972+2 2.024763-6 3.205272+2 2.027036-6 3.478241+2 2.029025-6 3.743255+2 2.032505-6 4.271274+2 2.044438-6 6.787177+2 2.048000-6 7.755546+2 2.050488-6 8.484387+2 2.053002-6 9.257668+2 2.058031-6 1.087964+3 2.058659-6 1.108607+3 2.063059-6 1.252261+3 2.064788-6 1.307135+3 2.068088-6 1.406743+3 2.069816-6 1.455158+3 2.071466-6 1.498284+3 2.073116-6 1.537907+3 2.075316-6 1.584499+3 2.077438-6 1.621809+3 2.079402-6 1.648976+3 2.081052-6 1.665901+3 2.083173-6 1.679313+3 2.086002-6 1.681970+3 2.088359-6 1.670602+3 2.089234-6 1.663237+3 2.091232-6 1.640141+3 2.093463-6 1.604320+3 2.095838-6 1.555208+3 2.098232-6 1.495240+3 2.100328-6 1.435011+3 2.101345-6 1.403510+3 2.103748-6 1.323972+3 2.105857-6 1.249319+3 2.107393-6 1.192736+3 2.109219-6 1.123819+3 2.111314-6 1.043392+3 2.113344-6 9.650649+2 2.115544-6 8.808980+2 2.117577-6 8.047341+2 2.118372-6 7.755403+2 2.120886-6 6.861921+2 2.123401-6 6.022501+2 2.124894-6 5.554167+2 2.127545-6 4.784397+2 2.134490-6 3.193751+2 2.135489-6 3.019302+2 2.136988-6 2.784228+2 2.138486-6 2.581372+2 2.139115-6 2.505942+2 2.140567-6 2.353624+2 2.141787-6 2.249512+2 2.142933-6 2.171616+2 2.144045-6 2.114639+2 2.144890-6 2.083627+2 2.145653-6 2.064845+2 2.146646-6 2.053548+2 2.147609-6 2.056925+2 2.148549-6 2.073970+2 2.149459-6 2.103581+2 2.150342-6 2.144714+2 2.152051-6 2.259896+2 2.158460-6 3.134438+2 2.160864-6 3.658564+2 2.162967-6 4.214301+2 2.170138-6 6.877995+2 2.173442-6 8.558432+2 2.175897-6 1.001504+3 2.178790-6 1.197211+3 2.181452-6 1.401397+3 2.183049-6 1.535245+3 2.185729-6 1.779065+3 2.188409-6 2.046741+3 2.194104-6 2.689688+3 2.194732-6 2.766172+3 2.199464-6 3.370627+3 2.201192-6 3.600965+3 2.204489-6 4.048363+3 2.207211-6 4.419013+3 2.209850-6 4.772858+3 2.212572-6 5.125577+3 2.215210-6 5.448766+3 2.217555-6 5.715304+3 2.220146-6 5.981622+3 2.220905-6 6.053258+3 2.224045-6 6.315126+3 2.226498-6 6.477250+3 2.229315-6 6.613354+3 2.231677-6 6.683967+3 2.236818-6 6.696321+3 2.238283-6 6.664602+3 2.242345-6 6.498883+3 2.244897-6 6.340300+3 2.247370-6 6.150776+3 2.250092-6 5.906483+3 2.252730-6 5.639636+3 2.255075-6 5.382447+3 2.257337-6 5.120790+3 2.260771-6 4.706404+3 2.263451-6 4.375860+3 2.266466-6 4.004089+3 2.268811-6 3.719331+3 2.274171-6 3.098607+3 2.276013-6 2.898477+3 2.279531-6 2.539331+3 2.284221-6 2.111812+3 2.290805-6 1.614892+3 2.296677-6 1.268839+3 2.299597-6 1.127403+3 2.302505-6 1.004536+3 2.305403-6 8.982472+2 2.308289-6 8.065852+2 2.311163-6 7.276901+2 2.314027-6 6.598344+2 2.316879-6 6.014474+2 2.319720-6 5.511262+2 2.322550-6 5.076381+2 2.328188-6 4.369214+2 2.333782-6 3.826886+2 2.339332-6 3.401210+2 2.344839-6 3.059042+2 2.350303-6 2.777879+2 2.355724-6 2.542418+2 2.361103-6 2.342107+2 2.366440-6 2.169498+2 2.371735-6 2.019180+2 2.376989-6 1.887110+2 2.382201-6 1.770187+2 2.392545-6 1.571869+2 2.402728-6 1.411006+2 2.412751-6 1.278139+2 2.422617-6 1.166771+2 2.432330-6 1.072282+2 2.441890-6 9.912749+1 2.451302-6 9.211954+1 2.460566-6 8.600825+1 2.469685-6 8.063984+1 2.478662-6 7.589132+1 2.496336-6 6.781825+1 2.513457-6 6.128455+1 2.530043-6 5.590521+1 2.546110-6 5.141548+1 2.561676-6 4.762263+1 2.576755-6 4.438479+1 2.591363-6 4.159616+1 2.605515-6 3.917342+1 2.632933-6 3.510906+1 2.658638-6 3.189906+1 2.682736-6 2.931656+1 2.705329-6 2.720742+1 2.726509-6 2.546212+1 2.766221-6 2.265263+1 2.800970-6 2.058131+1 2.831375-6 1.901546+1 2.857980-6 1.780517+1 2.904537-6 1.595867+1 2.939456-6 1.475864+1 3.066689-6 1.130980+1 3.164098-6 9.295930+0 3.194069-6 8.743663+0 3.277738-6 7.279763+0 3.340490-6 6.202931+0 3.384612-6 5.421947+0 3.418393-6 4.786818+0 3.432187-6 4.512555+0 3.456326-6 4.003270+0 3.474431-6 3.589223+0 3.488009-6 3.255194+0 3.498193-6 2.989088+0 3.505831-6 2.780234+0 3.517288-6 2.453339+0 3.523016-6 2.285519+0 3.528744-6 2.116935+0 3.536098-6 1.903811+0 3.549767-6 1.547923+0 3.551280-6 1.514618+0 3.563487-6 1.326416+0 3.566124-6 1.310989+0 3.567443-6 1.307591+0 3.568762-6 1.307298+0 3.573132-6 1.330809+0 3.575318-6 1.358200+0 3.577503-6 1.397189+0 3.578595-6 1.421315+0 3.582420-6 1.532039+0 3.584332-6 1.603848+0 3.586244-6 1.687456+0 3.589370-6 1.851163+0 3.592248-6 2.033583+0 3.595456-6 2.275183+0 3.599461-6 2.637322+0 3.612236-6 4.285671+0 3.614002-6 4.576035+0 3.620574-6 5.790747+0 3.624228-6 6.555836+0 3.628899-6 7.620577+0 3.632677-6 8.547079+0 3.635920-6 9.382987+0 3.639215-6 1.026470+1 3.642725-6 1.123218+1 3.646550-6 1.230957+1 3.650534-6 1.344285+1 3.654556-6 1.458239+1 3.659976-6 1.607910+1 3.663872-6 1.710456+1 3.666708-6 1.781361+1 3.670181-6 1.862858+1 3.673654-6 1.937450+1 3.682395-6 2.088056+1 3.683966-6 2.108738+1 3.691136-6 2.175725+1 3.694141-6 2.189860+1 3.697009-6 2.195497+1 3.701456-6 2.189104+1 3.705710-6 2.166132+1 3.708138-6 2.145917+1 3.712121-6 2.102190+1 3.715374-6 2.057403+1 3.719643-6 1.987508+1 3.723760-6 1.909761+1 3.725132-6 1.881907+1 3.731764-6 1.736686+1 3.733975-6 1.685358+1 3.741712-6 1.500750+1 3.751111-6 1.282129+1 3.757601-6 1.146828+1 3.760502-6 1.092799+1 3.764923-6 1.019958+1 3.768792-6 9.669070+0 3.771045-6 9.410634+0 3.772987-6 9.219689+0 3.778810-6 8.833029+0 3.780469-6 8.776127+0 3.782362-6 8.740913+0 3.787333-6 8.801513+0 3.789702-6 8.908875+0 3.792305-6 9.084989+0 3.797276-6 9.586770+0 3.799881-6 9.933623+0 3.802781-6 1.038376+1 3.806508-6 1.105557+1 3.812262-6 1.227493+1 3.822053-6 1.473397+1 3.825551-6 1.568598+1 3.830961-6 1.718479+1 3.835866-6 1.853190+1 3.839653-6 1.953816+1 3.844017-6 2.063632+1 3.853250-6 2.263854+1 3.856225-6 2.316647+1 3.861906-6 2.398840+1 3.865080-6 2.433455+1 3.868109-6 2.458643+1 3.871139-6 2.476069+1 3.873447-6 2.484141+1 3.878640-6 2.486122+1 3.880372-6 2.481937+1 3.884988-6 2.459536+1 3.889604-6 2.421863+1 3.896529-6 2.340318+1 3.898837-6 2.307386+1 3.905762-6 2.194797+1 3.908070-6 2.153503+1 3.917303-6 1.975922+1 3.919611-6 1.929541+1 3.926536-6 1.788793+1 3.934615-6 1.626058+1 3.942720-6 1.469292+1 4.001352-6 6.672883+0 4.005280-6 6.370188+0 4.012781-6 5.900170+0 4.018982-6 5.631434+0 4.021049-6 5.568422+0 4.030898-6 5.469140+0 4.032129-6 5.481480+0 4.040747-6 5.731744+0 4.044133-6 5.910228+0 4.050596-6 6.376646+0 4.053861-6 6.673414+0 4.057494-6 7.049488+0 4.063400-6 7.755983+0 4.076363-6 9.631718+0 4.081919-6 1.051995+1 4.087973-6 1.150306+1 4.092915-6 1.229378+1 4.096378-6 1.283059+1 4.100456-6 1.343527+1 4.109689-6 1.464972+1 4.114547-6 1.518070+1 4.118431-6 1.554396+1 4.123710-6 1.594578+1 4.128614-6 1.622292+1 4.132618-6 1.638198+1 4.135622-6 1.646332+1 4.142380-6 1.653735+1 4.147845-6 1.650139+1 4.151058-6 1.644745+1 4.158933-6 1.623919+1 4.182178-6 1.543482+1 4.192820-6 1.517008+1 4.200622-6 1.505128+1 4.207503-6 1.499424+1 4.230190-6 1.494976+1 4.242795-6 1.486326+1 4.252248-6 1.470832+1 4.257919-6 1.457167+1 4.267616-6 1.426353+1 4.276280-6 1.391898+1 4.286407-6 1.345644+1 4.301711-6 1.269967+1 4.338076-6 1.101703+1 4.365626-6 9.964843+0 4.379661-6 9.492246+0 4.388296-6 9.228656+0 4.400453-6 8.906204+0 4.409740-6 8.709031+0 4.415493-6 8.612073+0 4.421245-6 8.535983+0 4.426443-6 8.485747+0 4.436774-6 8.437656+0 4.447267-6 8.453266+0 4.457989-6 8.521286+0 4.485118-6 8.769742+0 4.496130-6 8.832949+0 4.501637-6 8.845961+0 4.509896-6 8.838549+0 4.518155-6 8.797929+0 4.528271-6 8.706129+0 4.538404-6 8.576731+0 4.573218-6 8.040478+0 4.587888-6 7.858849+0 4.595242-6 7.787685+0 4.606255-6 7.705389+0 4.617267-6 7.647390+0 4.668025-6 7.479591+0 4.718213-6 7.252314+0 4.878790-6 6.644847+0 4.965997-6 6.311647+0 5.063007-6 6.039652+0 5.582835-6 4.903589+0 5.838919-6 4.455991+0 6.000754-6 4.175072+0 6.100000-6 4.002751+0 6.187246-6 3.850223+0 6.287892-6 3.654461+0 6.334322-6 3.569049+0 6.349799-6 3.550001+0 6.378065-6 3.535494+0 6.390855-6 3.538398+0 6.411706-6 3.554524+0 6.473614-6 3.630621+0 6.499364-6 3.642016+0 6.520044-6 3.633928+0 6.535521-6 3.617966+0 6.566475-6 3.565914+0 6.597428-6 3.498051+0 6.783275-6 3.089431+0 6.816504-6 3.033347+0 6.845202-6 3.000265+0 6.864081-6 2.988296+0 6.882961-6 2.984228+0 6.916190-6 2.992663+0 6.983079-6 3.024275+0 7.012862-6 3.023257+0 7.047598-6 3.001378+0 7.082334-6 2.958153+0 7.130225-6 2.875520+0 7.191185-6 2.764197+0 7.261125-6 2.660465+0 7.383520-6 2.515376+0 7.448752-6 2.459032+0 7.541775-6 2.400366+0 7.581209-6 2.366701+0 7.650701-6 2.290667+0 7.965070-6 1.959625+0 8.082927-6 1.855008+0 8.179436-6 1.766716+0 8.294089-6 1.656389+0 8.532544-6 1.446060+0 8.709636-6 1.298434+0 8.850000-6 1.184806+0 9.015711-6 1.054426+0 9.192161-6 9.214443-1 9.387300-6 7.833352-1 9.645250-6 6.115054-1 9.876221-6 4.697009-1 1.007289-5 3.605525-1 1.020225-5 2.956089-1 1.039621-5 2.087166-1 1.057251-5 1.413024-1 1.074901-5 8.578914-2 1.085000-5 5.990204-2 1.092833-5 4.332146-2 1.108564-5 1.921434-2 1.124611-5 7.773417-3 1.140156-5 1.038402-2 1.147686-5 1.697154-2 1.155098-5 2.723558-2 1.165000-5 4.697091-2 1.176646-5 7.876372-2 1.190430-5 1.197208-1 1.197977-5 1.313246-1 1.198806-5 1.317154-1 1.213750-5 1.116255-1 1.227629-5 7.561063-2 1.238448-5 5.117900-2 1.250435-5 3.024740-2 1.262048-5 1.669717-2 1.273299-5 1.050885-2 1.284197-5 1.166184-2 1.294755-5 2.012123-2 1.304983-5 3.586162-2 1.315880-5 6.171434-2 1.324491-5 8.944483-2 1.343089-5 1.723883-1 1.361685-5 2.894616-1 1.376870-5 4.141341-1 1.392194-5 5.707789-1 1.406560-5 7.493543-1 1.420029-5 9.482193-1 1.433203-5 1.176280+0 1.444493-5 1.401771+0 1.466688-5 1.929950+0 1.486109-5 2.496654+0 1.503102-5 3.087732+0 1.517971-5 3.689866+0 1.542366-5 4.886212+0 1.562288-5 6.084871+0 1.588436-5 8.031667+0 1.605246-5 9.561264+0 1.673979-5 1.894331+1 1.706291-5 2.599106+1 1.722726-5 3.053947+1 1.739162-5 3.591088+1 1.751488-5 4.059052+1 1.763380-5 4.573715+1 1.784980-5 5.702240+1 1.803965-5 6.956563+1 1.820650-5 8.328341+1 1.828219-5 9.053588+1 1.842412-5 1.062232+2 1.854830-5 1.226407+2 1.865695-5 1.395840+2 1.875203-5 1.568423+2 1.883522-5 1.741963+2 1.890801-5 1.914280+2 1.897171-5 2.083333+2 1.904305-5 2.296227+2 1.912497-5 2.576895+2 1.919812-5 2.866680+2 1.927438-5 3.216628+2 1.933527-5 3.538199+2 1.941756-5 4.046065+2 1.948694-5 4.555309+2 1.956094-5 5.202818+2 1.960874-5 5.692440+2 1.965653-5 6.251273+2 1.970432-5 6.894074+2 1.976181-5 7.806297+2 1.979991-5 8.515870+2 1.984771-5 9.556595+2 1.989550-5 1.081191+3 1.994329-5 1.235100+3 1.999109-5 1.427064+3 2.003888-5 1.670513+3 2.006278-5 1.817052+3 2.008668-5 1.983788+3 2.011080-5 2.175864+3 2.013491-5 2.395621+3 2.015939-5 2.651332+3 2.018387-5 2.944905+3 2.022186-5 3.488432+3 2.028179-5 4.612686+3 2.040908-5 8.477816+3 2.045574-5 1.051600+4 2.049444-5 1.247954+4 2.053231-5 1.463165+4 2.055122-5 1.578490+4 2.059525-5 1.863901+4 2.061255-5 1.981108+4 2.065186-5 2.253454+4 2.067938-5 2.445065+4 2.070367-5 2.611518+4 2.073101-5 2.792338+4 2.075194-5 2.923658+4 2.077544-5 3.061234+4 2.080138-5 3.197952+4 2.082031-5 3.285879+4 2.084354-5 3.378200+4 2.087359-5 3.469333+4 2.089951-5 3.520010+4 2.091060-5 3.533382+4 2.093820-5 3.544509+4 2.095260-5 3.537657+4 2.099939-5 3.456430+4 2.102190-5 3.386737+4 2.104486-5 3.296852+4 2.106414-5 3.207994+4 2.108790-5 3.083582+4 2.111396-5 2.930907+4 2.113392-5 2.804680+4 2.115633-5 2.655497+4 2.117504-5 2.526465+4 2.119911-5 2.356882+4 2.122427-5 2.177804+4 2.124943-5 1.999699+4 2.127773-5 1.803609+4 2.129975-5 1.656109+4 2.135007-5 1.341882+4 2.136737-5 1.242583+4 2.140039-5 1.066774+4 2.143813-5 8.887946+3 2.147281-5 7.468161+3 2.151568-5 5.985966+3 2.164126-5 3.098023+3 2.166770-5 2.705723+3 2.169414-5 2.369381+3 2.172383-5 2.048998+3 2.174702-5 1.835018+3 2.177704-5 1.597769+3 2.180364-5 1.419339+3 2.183025-5 1.265858+3 2.186795-5 1.083375+3 2.190565-5 9.336339+2 2.195852-5 7.651964+2 2.201140-5 6.324478+2 2.217003-5 3.641699+2 2.222291-5 3.021800+2 2.227578-5 2.493660+2 2.232866-5 2.041425+2 2.246875-5 1.134337+2 2.248389-5 1.057937+2 2.251203-5 9.259553+1 2.254657-5 7.811897+1 2.259457-5 6.101696+1 2.264991-5 4.542486+1 2.270525-5 3.401796+1 2.271909-5 3.179853+1 2.276059-5 2.663894+1 2.277443-5 2.542174+1 2.281594-5 2.333047+1 2.282977-5 2.317821+1 2.285052-5 2.349931+1 2.286609-5 2.420135+1 2.287819-5 2.504086+1 2.289938-5 2.718112+1 2.290619-5 2.806431+1 2.292279-5 3.065168+1 2.292863-5 3.171830+1 2.293984-5 3.400876+1 2.295263-5 3.704249+1 2.296222-5 3.963471+1 2.297661-5 4.407814+1 2.299101-5 4.925148+1 2.301431-5 5.938546+1 2.304146-5 7.440238+1 2.312916-5 1.561758+2 2.316077-5 2.031261+2 2.318907-5 2.558845+2 2.321736-5 3.207854+2 2.324566-5 4.000000+2 2.327395-5 4.959286+2 2.330225-5 6.111792+2 2.333054-5 7.485310+2 2.335263-5 8.729464+2 2.338161-5 1.061686+3 2.340839-5 1.264255+3 2.343585-5 1.502469+3 2.345407-5 1.678742+3 2.348099-5 1.967144+3 2.350155-5 2.210596+3 2.352915-5 2.569896+3 2.353628-5 2.668880+3 2.359784-5 3.624574+3 2.365215-5 4.606701+3 2.367687-5 5.088684+3 2.369663-5 5.485885+3 2.372163-5 5.999027+3 2.375019-5 6.592819+3 2.377421-5 7.091533+3 2.379991-5 7.616710+3 2.382763-5 8.163944+3 2.385158-5 8.613038+3 2.387706-5 9.058773+3 2.388927-5 9.258317+3 2.392294-5 9.753632+3 2.395006-5 1.008587+4 2.398361-5 1.040389+4 2.400648-5 1.055732+4 2.406347-5 1.070448+4 2.409086-5 1.065511+4 2.412593-5 1.048253+4 2.415423-5 1.025961+4 2.417738-5 1.002666+4 2.420602-5 9.682524+3 2.422320-5 9.449853+3 2.425347-5 8.999778+3 2.428266-5 8.526865+3 2.429239-5 8.362644+3 2.432051-5 7.874593+3 2.435241-5 7.306006+3 2.438916-5 6.646990+3 2.440146-5 6.428099+3 2.445917-5 5.435339+3 2.449273-5 4.895466+3 2.453248-5 4.302764+3 2.458855-5 3.563636+3 2.469756-5 2.460935+3 2.472345-5 2.259525+3 2.476229-5 1.995512+3 2.480113-5 1.772510+3 2.484811-5 1.549846+3 2.491195-5 1.314325+3 2.495776-5 1.182549+3 2.499370-5 1.096161+3 2.502331-5 1.034185+3 2.505004-5 9.842939+2 2.507487-5 9.423511+2 2.510486-5 8.966082+2 2.517307-5 8.086207+2 2.521325-5 7.649927+2 2.526179-5 7.184929+2 2.534347-5 6.520970+2 2.545617-5 5.778930+2 2.557707-5 5.135781+2 2.568337-5 4.662463+2 2.580732-5 4.194488+2 2.587053-5 3.986188+2 2.593374-5 3.797121+2 2.600160-5 3.614964+2 2.610813-5 3.371539+2 2.619025-5 3.218767+2 2.625247-5 3.123161+2 2.637136-5 2.989461+2 2.643939-5 2.942292+2 2.651031-5 2.915393+2 2.656585-5 2.908961+2 2.662482-5 2.913976+2 2.675925-5 2.952186+2 2.682240-5 2.971503+2 2.691211-5 2.986876+2 2.694772-5 2.986991+2 2.700287-5 2.979351+2 2.706648-5 2.958842+2 2.715709-5 2.911532+2 2.738419-5 2.756266+2 2.750954-5 2.680399+2 2.763741-5 2.617899+2 2.785447-5 2.535150+2 2.852016-5 2.331764+2 2.876407-5 2.257200+2 2.925438-5 2.126777+2 2.998714-5 1.971588+2 3.056531-5 1.869189+2 3.137368-5 1.750666+2 3.209165-5 1.660675+2 3.276800-5 1.588540+2 3.379200-5 1.492495+2 3.479872-5 1.412137+2 3.588456-5 1.338711+2 3.725001-5 1.259856+2 4.107170-5 1.086807+2 4.141039-5 1.075557+2 4.220000-5 1.058402+2 4.259196-5 1.046676+2 4.359500-5 1.013416+2 4.480000-5 9.812841+1 4.640476-5 9.452069+1 6.324738-5 6.978693+1 6.918310-5 6.336213+1 7.244359-5 5.914155+1 7.498942-5 5.544663+1 7.673615-5 5.274110+1 7.890874-5 4.917347+1 8.035261-5 4.664270+1 8.205061-5 4.354203+1 8.344254-5 4.090794+1 8.418641-5 3.946468+1 8.511380-5 3.763787+1 8.623299-5 3.541358+1 8.749087-5 3.291276+1 9.002000-5 2.818092+1 9.083379-5 2.747777+1 9.105436-5 2.751592+1 9.161860-5 2.813742+1 9.246107-5 3.018738+1 9.311314-5 3.233552+1 9.374499-5 3.475974+1 9.440609-5 3.767055+1 9.524023-5 4.196329+1 9.581058-5 4.536034+1 9.648864-5 4.996737+1 9.717379-5 5.533653+1 9.791925-5 6.212672+1 9.841973-5 6.733497+1 9.900000-5 7.413456+1 9.933400-5 7.846314+1 1.000000-4 8.811973+1 1.006202-4 9.852127+1 1.011579-4 1.088303+2 1.017896-4 1.227431+2 1.025095-4 1.414211+2 1.031852-4 1.622821+2 1.038193-4 1.854878+2 1.041539-4 1.994239+2 1.047682-4 2.286197+2 1.052562-4 2.557426+2 1.058743-4 2.962327+2 1.062534-4 3.251627+2 1.067058-4 3.646290+2 1.071991-4 4.150526+2 1.075275-4 4.537802+2 1.079003-4 5.037248+2 1.082497-4 5.574088+2 1.085773-4 6.149406+2 1.089060-4 6.810431+2 1.091724-4 7.419409+2 1.094424-4 8.115905+2 1.096954-4 8.854527+2 1.099709-4 9.771180+2 1.101551-4 1.046146+3 1.103637-4 1.133154+3 1.105591-4 1.224741+3 1.107424-4 1.321030+3 1.109175-4 1.424190+3 1.110753-4 1.528278+3 1.113774-4 1.764242+3 1.116416-4 2.022867+3 1.118729-4 2.303690+3 1.120752-4 2.604563+3 1.122522-4 2.921631+3 1.124072-4 3.249727+3 1.125427-4 3.582995+3 1.126613-4 3.915530+3 1.128689-4 4.604971+3 1.130245-4 5.226496+3 1.132289-4 6.201664+3 1.138915-4 1.092209+4 1.140539-4 1.249547+4 1.141784-4 1.381654+4 1.143469-4 1.575831+4 1.145249-4 1.798400+4 1.148054-4 2.177828+4 1.148405-4 2.227009+4 1.150860-4 2.575592+4 1.151824-4 2.712091+4 1.153665-4 2.965910+4 1.154813-4 3.116492+4 1.156078-4 3.272127+4 1.157422-4 3.422701+4 1.158575-4 3.536977+4 1.159686-4 3.632218+4 1.160942-4 3.720103+4 1.162255-4 3.787600+4 1.163899-4 3.834369+4 1.165142-4 3.840809+4 1.166854-4 3.808570+4 1.168160-4 3.752767+4 1.169009-4 3.702734+4 1.170378-4 3.600869+4 1.171678-4 3.482280+4 1.173148-4 3.326747+4 1.174502-4 3.167666+4 1.175746-4 3.012130+4 1.177093-4 2.838002+4 1.178910-4 2.602017+4 1.183206-4 2.098658+4 1.184778-4 1.951952+4 1.185654-4 1.881814+4 1.186908-4 1.797036+4 1.187780-4 1.749383+4 1.188873-4 1.703008+4 1.189793-4 1.675492+4 1.190847-4 1.656653+4 1.191714-4 1.650935+4 1.192648-4 1.654126+4 1.193676-4 1.668051+4 1.193944-4 1.673349+4 1.196054-4 1.735941+4 1.197722-4 1.806241+4 1.202164-4 2.031288+4 1.204063-4 2.122087+4 1.204590-4 2.144891+4 1.207504-4 2.243181+4 1.208875-4 2.269755+4 1.210924-4 2.282482+4 1.212417-4 2.270676+4 1.213276-4 2.255903+4 1.213962-4 2.240041+4 1.214990-4 2.209730+4 1.216101-4 2.168687+4 1.217482-4 2.106706+4 1.218725-4 2.041745+4 1.219168-4 2.016759+4 1.220763-4 1.920000+4 1.221990-4 1.839706+4 1.222771-4 1.786587+4 1.224248-4 1.683272+4 1.224769-4 1.646235+4 1.227648-4 1.440899+4 1.228283-4 1.396247+4 1.233083-4 1.081834+4 1.239695-4 7.471689+3 1.241488-4 6.778855+3 1.242865-4 6.304417+3 1.244879-4 5.693610+3 1.246879-4 5.174910+3 1.249238-4 4.660187+3 1.251089-4 4.319104+3 1.253712-4 3.913300+3 1.256347-4 3.579471+3 1.259833-4 3.224043+3 1.262608-4 2.993469+3 1.265368-4 2.798612+3 1.268701-4 2.598318+3 1.270029-4 2.527174+3 1.273524-4 2.358784+3 1.278842-4 2.144563+3 1.284011-4 1.973193+3 1.288461-4 1.848249+3 1.293156-4 1.734798+3 1.296838-4 1.656923+3 1.300162-4 1.593779+3 1.304008-4 1.528120+3 1.308164-4 1.464916+3 1.312920-4 1.401060+3 1.317958-4 1.341788+3 1.325000-4 1.270901+3 1.331090-4 1.218844+3 1.337580-4 1.171095+3 1.344636-4 1.126619+3 1.350438-4 1.094826+3 1.363084-4 1.037020+3 1.375563-4 9.913909+2 1.390684-4 9.464142+2 1.404250-4 9.124006+2 1.423560-4 8.708609+2 1.441285-4 8.380802+2 1.462588-4 8.028699+2 1.480579-4 7.761956+2 1.523025-4 7.220633+2 1.562446-4 6.797144+2 1.599747-4 6.453257+2 1.635875-4 6.161808+2 1.672466-4 5.902081+2 1.754397-4 5.416524+2 1.797336-4 5.207154+2 1.844809-4 5.003600+2 1.899984-4 4.800541+2 1.957000-4 4.614345+2 2.105000-4 4.207879+2 2.175204-4 4.000984+2 2.216354-4 3.838848+2 2.226557-4 3.817505+2 2.232126-4 3.815266+2 2.241554-4 3.828776+2 2.254559-4 3.877754+2 2.271405-4 3.957957+2 2.280718-4 3.992560+2 2.290377-4 4.015616+2 2.302521-4 4.028425+2 2.312597-4 4.030374+2 2.442723-4 3.987820+2 2.498310-4 4.002701+2 2.519387-4 4.014288+2 2.545977-4 4.041225+2 2.601158-4 4.121883+2 2.755828-4 4.275362+2 2.982236-4 4.431100+2 3.114239-4 4.490834+2 3.148015-4 4.527970+2 3.213464-4 4.645301+2 3.324853-4 4.798809+2 3.585830-4 5.061688+2 3.819717-4 5.257938+2 4.081138-4 5.445416+2 4.409354-4 5.634417+2 4.748894-4 5.788507+2 5.248800-4 5.935934+2 5.706168-4 5.993057+2 6.164011-4 5.969450+2 6.616037-4 5.867162+2 7.008005-4 5.708862+2 7.410804-4 5.458154+2 7.785565-4 5.153491+2 8.098203-4 4.835775+2 8.348537-4 4.529812+2 8.564173-4 4.219351+2 8.745746-4 3.916266+2 8.870047-4 3.682430+2 9.005850-4 3.395081+2 9.120108-4 3.122169+2 9.226578-4 2.836591+2 9.290080-4 2.648792+2 9.355439-4 2.446824+2 9.402455-4 2.329933+2 9.465671-4 2.455533+2 9.510071-4 3.202592+2 9.525341-4 3.715907+2 9.529113-4 3.870098+2 9.565995-4 6.089026+2 9.600232-4 9.554681+2 9.621850-4 1.250729+3 9.624149-4 1.285433+3 9.646373-4 1.649012+3 9.649767-4 1.708394+3 9.670080-4 2.077466+3 9.688915-4 2.427534+3 9.708663-4 2.781776+3 9.714805-4 2.885910+3 9.743882-4 3.316416+3 9.763236-4 3.530009+3 9.767745-4 3.570318+3 9.779163-4 3.656089+3 9.790982-4 3.720722+3 9.802328-4 3.760894+3 9.811216-4 3.778622+3 9.822708-4 3.785669+3 9.832315-4 3.779685+3 9.847301-4 3.753061+3 9.862355-4 3.710708+3 9.886528-4 3.623483+3 9.920814-4 3.481221+3 9.934484-4 3.419705+3 9.971369-4 3.225920+3 9.982739-4 3.153590+3 9.993885-4 3.075258+3 1.000388-3 2.998344+3 1.001939-3 2.866043+3 1.004433-3 2.622991+3 1.005812-3 2.475588+3 1.007300-3 2.309880+3 1.009635-3 2.045407+3 1.011296-3 1.861496+3 1.015854-3 1.417648+3 1.018254-3 1.236289+3 1.020492-3 1.103628+3 1.023054-3 9.926138+2 1.026447-3 9.020760+2 1.028646-3 8.698002+2 1.031488-3 8.494135+2 1.034766-3 8.450409+2 1.038660-3 8.537471+2 1.056209-3 9.248766+2 1.065350-3 9.588264+2 1.074279-3 9.893191+2 1.088616-3 1.034200+3 1.107786-3 1.088707+3 1.124703-3 1.131048+3 1.146978-3 1.179121+3 1.175302-3 1.229078+3 1.193457-3 1.251643+3 1.211072-3 1.264639+3 1.227965-3 1.268501+3 1.253118-3 1.264520+3 1.259807-3 1.268615+3 1.266026-3 1.278247+3 1.274946-3 1.301992+3 1.290132-3 1.351589+3 1.302385-3 1.385305+3 1.315635-3 1.416798+3 1.324034-3 1.433835+3 1.335332-3 1.451692+3 1.367745-3 1.485883+3 1.386889-3 1.517690+3 1.419159-3 1.573179+3 1.431461-3 1.590701+3 1.447741-3 1.609264+3 1.468991-3 1.626469+3 1.490691-3 1.637838+3 1.535806-3 1.648160+3 1.546758-3 1.656391+3 1.562449-3 1.677558+3 1.588631-3 1.715476+3 1.604492-3 1.730908+3 1.628589-3 1.746896+3 1.686681-3 1.770568+3 1.764260-3 1.788066+3 1.900253-3 1.798821+3 1.990960-3 1.797600+3 2.115771-3 1.784476+3 2.317701-3 1.751532+3 2.393660-3 1.736716+3 2.664557-3 1.672317+3 2.936910-3 1.601973+3 3.151133-3 1.545843+3 3.323171-3 1.499219+3 3.624641-3 1.418771+3 3.765175-3 1.382392+3 3.939751-3 1.336723+3 4.131367-3 1.287413+3 4.319493-3 1.240229+3 4.518559-3 1.190914+3 4.717914-3 1.141462+3 4.904842-3 1.095039+3 5.073411-3 1.052562+3 5.229887-3 1.012485+3 5.361509-3 9.774174+2 5.483559-3 9.434907+2 5.589018-3 9.126434+2 5.670504-3 8.873232+2 5.743072-3 8.631013+2 5.811003-3 8.384069+2 5.867025-3 8.160135+2 5.917992-3 7.933505+2 5.965649-3 7.691138+2 6.002025-3 7.475078+2 6.032114-3 7.268022+2 6.069212-3 6.974838+2 6.124305-3 6.522223+2 6.147455-3 6.374158+2 6.161939-3 6.309012+2 6.174384-3 6.273934+2 6.184428-3 6.260949+2 6.198760-3 6.266780+2 6.214330-3 6.304542+2 6.236226-3 6.405747+2 6.266228-3 6.606520+2 6.315757-3 6.972533+2 6.335633-3 7.099999+2 6.349799-3 7.179431+2 6.369667-3 7.273998+2 6.400000-3 7.382578+2 6.433266-3 7.459260+2 6.472383-3 7.504141+2 6.509306-3 7.508816+2 6.544494-3 7.482266+2 6.601022-3 7.388346+2 6.651160-3 7.296443+2 6.685678-3 7.270848+2 6.702703-3 7.278536+2 6.719908-3 7.301950+2 6.748515-3 7.374294+2 6.799860-3 7.574535+2 6.849453-3 7.775778+2 6.872594-3 7.852144+2 6.897022-3 7.915847+2 6.925463-3 7.968245+2 6.984152-3 8.021598+2 7.039654-3 8.058476+2 7.085318-3 8.126273+2 7.128341-3 8.234712+2 7.240994-3 8.582487+2 7.274375-3 8.663384+2 7.318446-3 8.747649+2 7.405205-3 8.858922+2 7.523871-3 8.945854+2 7.675736-3 9.000947+2 7.863912-3 9.014193+2 8.067764-3 8.984783+2 8.385104-3 8.876427+2 8.735526-3 8.707875+2 9.192581-3 8.442755+2 9.683654-3 8.128461+2 1.037006-2 7.676285+2 1.115779-2 7.170903+2 1.230650-2 6.495205+2 1.372229-2 5.768467+2 1.552443-2 5.003016+2 1.770738-2 4.264524+2 1.992393-2 3.666817+2 2.156230-2 3.298099+2 2.335311-2 2.948971+2 2.521329-2 2.634098+2 2.733823-2 2.324337+2 2.949883-2 2.056244+2 3.293714-2 1.709854+2 3.520634-2 1.522822+2 3.709706-2 1.383625+2 3.860814-2 1.278868+2 3.973045-2 1.202194+2 4.057379-2 1.143371+2 4.130821-2 1.089018+2 4.160279-2 1.065490+2 4.187008-2 1.042587+2 4.209826-2 1.021215+2 4.228740-2 1.001659+2 4.257348-2 9.679548+1 4.314453-2 8.934441+1 4.333538-2 8.752077+1 4.346876-2 8.675096+1 4.361658-2 8.646989+1 4.372225-2 8.663739+1 4.389595-2 8.748799+1 4.417473-2 8.978002+1 4.443883-2 9.212563+1 4.469314-2 9.396088+1 4.494929-2 9.524689+1 4.513603-2 9.587861+1 4.557535-2 9.668306+1 4.606489-2 9.692263+1 4.674716-2 9.665966+1 4.789282-2 9.542610+1 4.901606-2 9.371649+1 5.073612-2 9.058437+1 5.293229-2 8.626292+1 5.571140-2 8.079130+1 5.966102-2 7.347200+1 6.397450-2 6.622357+1 6.875477-2 5.917685+1 7.555021-2 5.073122+1 8.370715-2 4.262632+1 1.003053-1 3.108846+1 1.169231-1 2.363984+1 1.566999-1 1.382785+1 2.012664-1 8.694417+0 2.471967-1 5.894691+0 3.194295-1 3.600386+0 4.651932-1 1.732489+0 7.002198-1 7.760687-1 1.173413+0 2.793009-1 2.451607+0 6.435208-2 7.403736+0 7.066907-3 2.235892+1 7.750054-4 6.752287+1 8.497927-5 2.039158+2 9.317811-6 6.158159+2 1.021678-6 1.995262+3 9.732307-8 6.309573+3 9.732307-9 1.995262+4 9.73231-10 6.309573+4 9.73231-11 1.000000+5 3.87450-11 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.479400-6 1.258900-6 3.929600-6 1.584900-6 6.228000-6 1.995300-6 9.870600-6 2.511900-6 1.564400-5 3.162300-6 2.479400-5 3.981100-6 3.929500-5 5.011900-6 6.227800-5 6.309600-6 9.870400-5 7.943300-6 1.564300-4 1.000000-5 2.479300-4 1.258900-5 3.929300-4 1.584900-5 6.224600-4 1.995300-5 9.859500-4 2.511900-5 1.561800-3 3.162300-5 2.474400-3 3.981100-5 3.920500-3 5.011900-5 6.211400-3 6.309600-5 9.839700-3 7.943300-5 1.555900-2 1.000000-4 2.459300-2 1.258900-4 3.886900-2 1.584900-4 6.124000-2 1.995300-4 9.626800-2 2.511900-4 1.505300-1 3.162300-4 2.335600-1 3.981100-4 3.572000-1 5.011900-4 5.359000-1 6.309600-4 7.835300-1 7.943300-4 1.108700+0 1.000000-3 1.515400+0 1.258900-3 2.008300+0 1.584900-3 2.612300+0 1.995300-3 3.366800+0 2.511900-3 4.302200+0 3.162300-3 5.433000+0 3.981100-3 6.773200+0 5.011900-3 8.311700+0 6.309600-3 9.990700+0 7.943300-3 1.179600+1 1.000000-2 1.373200+1 1.258900-2 1.581700+1 1.584900-2 1.802000+1 1.995300-2 2.012100+1 2.511900-2 2.197600+1 3.162300-2 2.361400+1 3.981100-2 2.479500+1 5.011900-2 2.582000+1 6.309600-2 2.634800+1 7.943300-2 2.644200+1 1.000000-1 2.611100+1 1.258900-1 2.539400+1 1.584900-1 2.437100+1 1.995300-1 2.311800+1 2.511900-1 2.170300+1 3.162300-1 2.018700+1 3.981100-1 1.862500+1 5.011900-1 1.705700+1 6.309600-1 1.551500+1 7.943300-1 1.402000+1 1.000000+0 1.259300+1 1.258900+0 1.123400+1 1.584900+0 9.958900+0 1.995300+0 8.770600+0 2.511900+0 7.674600+0 3.162300+0 6.673800+0 3.981100+0 5.769200+0 5.011900+0 4.959200+0 6.309600+0 4.240700+0 7.943300+0 3.608800+0 1.000000+1 3.057600+0 1.258900+1 2.580000+0 1.584900+1 2.169100+0 1.995300+1 1.817600+0 2.511900+1 1.518500+0 3.162300+1 1.265100+0 3.981100+1 1.051500+0 5.011900+1 8.720200-1 6.309600+1 7.217200-1 7.943300+1 5.962400-1 1.000000+2 4.917600-1 1.258900+2 4.049700-1 1.584900+2 3.330400-1 1.995300+2 2.735400-1 2.511900+2 2.244000-1 3.162300+2 1.838900-1 3.981100+2 1.505400-1 5.011900+2 1.231300-1 6.309600+2 1.006200-1 7.943300+2 8.215500-2 1.000000+3 6.702900-2 1.258900+3 5.464800-2 1.584900+3 4.452300-2 1.995300+3 3.625200-2 2.511900+3 2.949800-2 3.162300+3 2.398900-2 3.981100+3 1.949900-2 5.011900+3 1.584000-2 6.309600+3 1.286200-2 7.943300+3 1.043800-2 1.000000+4 8.467500-3 1.258900+4 6.865900-3 1.584900+4 5.564900-3 1.995300+4 4.508600-3 2.511900+4 3.651400-3 3.162300+4 2.956100-3 3.981100+4 2.392300-3 5.011900+4 1.935400-3 6.309600+4 1.565200-3 7.943300+4 1.265400-3 1.000000+5 1.022700-3 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994175-4 2.511886-4 2.510162-4 3.162278-4 3.159560-4 3.981072-4 3.976786-4 5.011872-4 5.005130-4 6.309573-4 6.298978-4 7.943282-4 7.926731-4 1.000000-3 9.974245-4 1.258925-3 1.254914-3 1.584893-3 1.578626-3 1.995262-3 1.985428-3 2.511886-3 2.496428-3 3.162278-3 3.138001-3 3.981072-3 3.943002-3 5.011872-3 4.952325-3 6.309573-3 6.216683-3 7.943282-3 7.799020-3 1.000000-2 9.775313-3 1.258925-2 1.223958-2 1.584893-2 1.530729-2 1.995262-2 1.911706-2 2.511886-2 2.383764-2 3.162278-2 2.966964-2 3.981072-2 3.684563-2 5.011872-2 4.564440-2 6.309573-2 5.638508-2 7.943282-2 6.946124-2 1.000000-1 8.528010-2 1.258925-1 1.043923-1 1.584893-1 1.273671-1 1.995262-1 1.548677-1 2.511886-1 1.876782-1 3.162278-1 2.267020-1 3.981072-1 2.729673-1 5.011872-1 3.276608-1 6.309573-1 3.921963-1 7.943282-1 4.682494-1 1.000000+0 5.575606-1 1.258925+0 6.630314-1 1.584893+0 7.873286-1 1.995262+0 9.344487-1 2.511886+0 1.109027+0 3.162278+0 1.316735+0 3.981072+0 1.564726+0 5.011872+0 1.861501+0 6.309573+0 2.217699+0 7.943282+0 2.646328+0 1.000000+1 3.162911+0 1.258925+1 3.786910+0 1.584893+1 4.542070+0 1.995262+1 5.457275+0 2.511886+1 6.568018+0 3.162278+1 7.918048+0 3.981072+1 9.560561+0 5.011872+1 1.156133+1 6.309573+1 1.400096+1 7.943282+1 1.697860+1 1.000000+2 2.061600+1 1.258925+2 2.506310+1 1.584893+2 3.050496+1 1.995262+2 3.716819+1 2.511886+2 4.533335+1 3.162278+2 5.534595+1 3.981072+2 6.763034+1 5.011872+2 8.271377+1 6.309573+2 1.012433+2 7.943282+2 1.240192+2 1.000000+3 1.520288+2 1.258925+3 1.864943+2 1.584893+3 2.289152+2 1.995262+3 2.811782+2 2.511886+3 3.455627+2 3.162278+3 4.249432+2 3.981072+3 5.228242+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88202-10 1.995262-5 1.090640-9 2.511886-5 1.728519-9 3.162278-5 2.739543-9 3.981072-5 4.341920-9 5.011872-5 6.881152-9 6.309573-5 1.090512-8 7.943282-5 1.727405-8 1.000000-4 2.736891-8 1.258925-4 4.336719-8 1.584893-4 6.866637-8 1.995262-4 1.087114-7 2.511886-4 1.724411-7 3.162278-4 2.717777-7 3.981072-4 4.285338-7 5.011872-4 6.741951-7 6.309573-4 1.059501-6 7.943282-4 1.655177-6 1.000000-3 2.575547-6 1.258925-3 4.011281-6 1.584893-3 6.267331-6 1.995262-3 9.834425-6 2.511886-3 1.545797-5 3.162278-3 2.427644-5 3.981072-3 3.806994-5 5.011872-3 5.954688-5 6.309573-3 9.289010-5 7.943282-3 1.442627-4 1.000000-2 2.246874-4 1.258925-2 3.496775-4 1.584893-2 5.416428-4 1.995262-2 8.355624-4 2.511886-2 1.281226-3 3.162278-2 1.953137-3 3.981072-2 2.965087-3 5.011872-2 4.474321-3 6.309573-2 6.710657-3 7.943282-2 9.971582-3 1.000000-1 1.471990-2 1.258925-1 2.150027-2 1.584893-1 3.112218-2 1.995262-1 4.465851-2 2.511886-1 6.351044-2 3.162278-1 8.952574-2 3.981072-1 1.251399-1 5.011872-1 1.735265-1 6.309573-1 2.387611-1 7.943282-1 3.260788-1 1.000000+0 4.424394-1 1.258925+0 5.958940-1 1.584893+0 7.975646-1 1.995262+0 1.060814+0 2.511886+0 1.402859+0 3.162278+0 1.845543+0 3.981072+0 2.416346+0 5.011872+0 3.150371+0 6.309573+0 4.091875+0 7.943282+0 5.296954+0 1.000000+1 6.837089+0 1.258925+1 8.802345+0 1.584893+1 1.130686+1 1.995262+1 1.449535+1 2.511886+1 1.855085+1 3.162278+1 2.370473+1 3.981072+1 3.025016+1 5.011872+1 3.855739+1 6.309573+1 4.909477+1 7.943282+1 6.245423+1 1.000000+2 7.938400+1 1.258925+2 1.008294+2 1.584893+2 1.279844+2 1.995262+2 1.623580+2 2.511886+2 2.058553+2 3.162278+2 2.608818+2 3.981072+2 3.304768+2 5.011872+2 4.184735+2 6.309573+2 5.297141+2 7.943282+2 6.703091+2 1.000000+3 8.479712+2 1.258925+3 1.072431+3 1.584893+3 1.355978+3 1.995262+3 1.714084+3 2.511886+3 2.166324+3 3.162278+3 2.737334+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.960000-6 3.025600+6 5.370318-6 2.090208+6 5.754399-6 1.504117+6 6.100000-6 1.132560+6 6.456542-6 8.544015+5 6.850000-6 6.328020+5 7.244360-6 4.733925+5 7.700000-6 3.424820+5 7.850000-6 3.083882+5 7.850000-6 4.925145+5 8.100000-6 4.424596+5 8.200000-6 4.255254+5 8.320000-6 4.065028+5 8.320000-6 5.358592+5 8.413951-6 5.217463+5 8.511380-6 5.085902+5 8.709636-6 4.852590+5 8.850000-6 4.712120+5 9.015711-6 4.570213+5 9.120108-6 4.494752+5 9.332543-6 4.366602+5 9.440609-6 4.314795+5 9.660509-6 4.232256+5 9.772372-6 4.201926+5 9.930000-6 4.171023+5 1.000000-5 4.160545+5 1.011579-5 4.150498+5 1.035142-5 4.147628+5 1.050000-5 4.158950+5 1.071519-5 4.188618+5 1.085000-5 4.217361+5 1.100000-5 4.255973+5 1.122018-5 4.320559+5 1.127000-5 4.338823+5 1.150000-5 4.429163+5 1.165000-5 4.492509+5 1.174898-5 4.537694+5 1.180000-5 4.561858+5 1.200000-5 4.664908+5 1.216186-5 4.752235+5 1.222000-5 4.785313+5 1.244515-5 4.917699+5 1.264200-5 5.043026+5 1.273503-5 5.103898+5 1.288250-5 5.204495+5 1.310000-5 5.357132+5 1.318257-5 5.416436+5 1.333521-5 5.530766+5 1.350000-5 5.656976+5 1.357000-5 5.712398+5 1.380384-5 5.901278+5 1.410000-5 6.147340+5 1.428894-5 6.308355+5 1.440000-5 6.406341+5 1.445440-5 6.454911+5 1.470000-5 6.680647+5 1.500000-5 6.963408+5 1.531087-5 7.264194+5 1.570000-5 7.651555+5 1.584893-5 7.803123+5 1.630000-5 8.275818+5 1.717908-5 9.242400+5 1.927525-5 1.178119+6 1.950000-5 1.206720+6 1.972423-5 1.235582+6 2.070000-5 1.363410+6 2.113489-5 1.422404+6 2.162719-5 1.488922+6 2.190000-5 1.525832+6 2.290868-5 1.665997+6 2.317395-5 1.702619+6 2.454709-5 1.893533+6 2.488000-5 1.938424+6 2.488000-5 1.640690+7 2.600160-5 1.429274+7 2.722701-5 1.246427+7 2.754229-5 1.207358+7 2.812000-5 1.141084+7 2.812000-5 1.826634+7 2.917427-5 1.638534+7 2.985383-5 1.533692+7 3.080000-5 1.407390+7 3.090295-5 1.394773+7 3.235937-5 1.236429+7 3.273407-5 1.201218+7 3.427678-5 1.075360+7 3.467369-5 1.047396+7 3.630781-5 9.476024+6 3.650000-5 9.372793+6 3.672823-5 9.252962+6 3.890451-5 8.280265+6 3.900000-5 8.243821+6 3.935501-5 8.110648+6 4.027170-5 7.795880+6 4.073803-5 7.649423+6 4.168694-5 7.382874+6 4.220000-5 7.248225+6 4.415704-5 6.812020+6 4.466836-5 6.717633+6 4.480000-5 6.693849+6 4.480000-5 6.750817+6 4.500000-5 6.715986+6 4.518559-5 6.683494+6 4.590000-5 6.565435+6 4.731513-5 6.362061+6 4.786301-5 6.294617+6 4.800000-5 6.277959+6 4.841724-5 6.226803+6 5.011872-5 6.043391+6 5.069907-5 5.990550+6 5.128614-5 5.941532+6 5.150000-5 5.923726+6 5.248075-5 5.842786+6 5.308844-5 5.796812+6 5.432503-5 5.715188+6 5.450000-5 5.702905+6 5.559043-5 5.630756+6 5.623413-5 5.592326+6 5.650000-5 5.577637+6 5.688529-5 5.556919+6 5.754399-5 5.523240+6 5.850000-5 5.469814+6 5.900000-5 5.443405+6 6.000000-5 5.395163+6 6.095369-5 5.353385+6 6.165950-5 5.318101+6 6.309573-5 5.253033+6 6.456542-5 5.192140+6 6.531306-5 5.158403+6 6.760830-5 5.062108+6 6.800000-5 5.047185+6 6.839116-5 5.032448+6 6.900000-5 5.008387+6 6.918310-5 5.001374+6 7.079458-5 4.936361+6 7.300000-5 4.855348+6 7.328245-5 4.844704+6 7.413102-5 4.810594+6 7.650000-5 4.722133+6 7.673615-5 4.713613+6 7.762471-5 4.682370+6 7.852356-5 4.652196+6 8.000000-5 4.601605+6 8.035261-5 4.588825+6 8.128305-5 4.555948+6 8.400000-5 4.465793+6 8.413951-5 4.461297+6 8.500000-5 4.434123+6 8.511380-5 4.430351+6 8.609938-5 4.398532+6 8.810489-5 4.331835+6 8.912509-5 4.299074+6 9.000000-5 4.271877+6 9.225714-5 4.203953+6 9.300000-5 4.182425+6 9.332543-5 4.172549+6 9.440609-5 4.137519+6 9.660509-5 4.069171+6 9.900000-5 3.998336+6 1.000000-4 3.968189+6 1.011579-4 3.932183+6 1.060000-4 3.790214+6 1.071519-4 3.756605+6 1.083927-4 3.718768+6 1.109175-4 3.644277+6 1.122018-4 3.607744+6 1.135011-4 3.570235+6 1.161449-4 3.496187+6 1.170000-4 3.471691+6 1.202264-4 3.382634+6 1.220000-4 3.333669+6 1.230269-4 3.305879+6 1.244515-4 3.268193+6 1.246200-4 3.263598+6 1.246200-4 3.933210+6 1.260000-4 4.037730+6 1.267000-4 4.096740+6 1.273503-4 4.153011+6 1.280000-4 4.208878+6 1.286000-4 4.259067+6 1.286800-4 4.265161+6 1.286800-4 4.717073+6 1.293000-4 4.802081+6 1.299000-4 4.882525+6 1.303167-4 4.936081+6 1.305500-4 4.966919+6 1.310000-4 5.022167+6 1.312000-4 5.046581+6 1.312600-4 5.053165+6 1.318257-4 5.117062+6 1.325000-4 5.184236+6 1.332000-4 5.243069+6 1.338000-4 5.283781+6 1.344000-4 5.315151+6 1.348963-4 5.332273+6 1.350000-4 5.335840+6 1.352000-4 5.341053+6 1.357000-4 5.348677+6 1.359000-4 5.350118+6 1.363000-4 5.349164+6 1.367000-4 5.344967+6 1.370000-4 5.339196+6 1.375000-4 5.325197+6 1.377000-4 5.317974+6 1.380384-4 5.302742+6 1.385000-4 5.282283+6 1.390000-4 5.252576+6 1.396368-4 5.211110+6 1.398000-4 5.199301+6 1.408000-4 5.120058+6 1.410900-4 5.095490+6 1.412538-4 5.080705+6 1.416000-4 5.049711+6 1.428000-4 4.937696+6 1.428894-4 4.929033+6 1.439000-4 4.828782+6 1.445440-4 4.764341+6 1.447000-4 4.748979+6 1.450000-4 4.718785+6 1.462177-4 4.595754+6 1.465800-4 4.559966+6 1.470000-4 4.517856+6 1.485000-4 4.369978+6 1.500000-4 4.227825+6 1.510000-4 4.136291+6 1.513561-4 4.104003+6 1.531087-4 3.950912+6 1.540000-4 3.877357+6 1.566751-4 3.667854+6 1.570000-4 3.643783+6 1.584893-4 3.536285+6 1.621810-4 3.296758+6 1.650000-4 3.136758+6 1.659587-4 3.087030+6 1.678804-4 2.990834+6 1.680000-4 2.985130+6 1.698244-4 2.902820+6 1.705000-4 2.873523+6 1.713000-4 2.840321+6 1.720000-4 2.812381+6 1.740000-4 2.736174+6 1.757924-4 2.674101+6 1.760000-4 2.667091+6 1.765800-4 2.648233+6 1.780000-4 2.604082+6 1.790000-4 2.574735+6 1.800000-4 2.546616+6 1.810000-4 2.519272+6 1.820000-4 2.492976+6 1.828000-4 2.472995+6 1.842000-4 2.439463+6 1.850000-4 2.421321+6 1.862087-4 2.395079+6 1.873000-4 2.372168+6 1.885000-4 2.348092+6 1.895000-4 2.329114+6 1.905461-4 2.310079+6 1.908000-4 2.305493+6 1.915000-4 2.293408+6 1.927525-4 2.272668+6 1.930000-4 2.268613+6 1.937000-4 2.257671+6 1.950000-4 2.238199+6 1.957000-4 2.227549+6 1.972423-4 2.205958+6 1.980000-4 2.195505+6 2.000000-4 2.170198+6 2.010000-4 2.158209+6 2.018366-4 2.148708+6 2.030000-4 2.135307+6 2.041738-4 2.122505+6 2.060000-4 2.103868+6 2.065380-4 2.098668+6 2.089296-4 2.075384+6 2.090000-4 2.074740+6 2.113489-4 2.054384+6 2.120000-4 2.048911+6 2.162719-4 2.015968+6 2.170000-4 2.010576+6 2.213095-4 1.981537+6 2.238721-4 1.964813+6 2.264644-4 1.949298+6 2.290868-4 1.934759+6 2.297200-4 1.931270+6 2.297200-4 2.262869+6 2.300000-4 2.261176+6 2.344229-4 2.235162+6 2.380000-4 2.216332+6 2.398833-4 2.206688+6 2.400000-4 2.206074+6 2.454709-4 2.178630+6 2.500000-4 2.156682+6 2.527600-4 2.144066+6 2.527600-4 2.242053+6 2.540973-4 2.236174+6 2.570396-4 2.222914+6 2.580000-4 2.218590+6 2.620000-4 2.200899+6 2.630268-4 2.196298+6 2.660725-4 2.182845+6 2.691535-4 2.169508+6 2.722701-4 2.155852+6 2.754229-4 2.142874+6 2.786121-4 2.129349+6 2.800000-4 2.123217+6 2.818383-4 2.115452+6 2.851018-4 2.101940+6 2.888500-4 2.086592+6 2.917427-4 2.074426+6 2.951209-4 2.060480+6 2.985383-4 2.045997+6 3.000000-4 2.040024+6 3.019952-4 2.031487+6 3.054921-4 2.016786+6 3.100000-4 1.998033+6 3.126079-4 1.987031+6 3.135800-4 1.983013+6 3.135800-4 2.104553+6 3.162278-4 2.093289+6 3.200000-4 2.076796+6 3.235937-4 2.060823+6 3.273407-4 2.044548+6 3.280000-4 2.041703+6 3.320000-4 2.024221+6 3.349654-4 2.011002+6 3.390000-4 1.993489+6 3.427678-4 1.977205+6 3.430000-4 1.976201+6 3.507519-4 1.942045+6 3.589219-4 1.906896+6 3.600000-4 1.902175+6 3.650000-4 1.880207+6 3.715352-4 1.851899+6 3.758374-4 1.833789+6 3.801894-4 1.815205+6 3.845918-4 1.796259+6 3.890451-4 1.777692+6 3.935501-4 1.759386+6 3.981072-4 1.740301+6 4.027170-4 1.720957+6 4.120975-4 1.682980+6 4.150000-4 1.671596+6 4.168694-4 1.664045+6 4.216965-4 1.644437+6 4.265795-4 1.625152+6 4.365158-4 1.586924+6 4.466836-4 1.547328+6 4.518559-4 1.527968+6 4.570882-4 1.508802+6 4.600000-4 1.498375+6 4.623810-4 1.489439+6 4.731513-4 1.449997+6 4.786301-4 1.430690+6 4.841724-4 1.411709+6 4.850000-4 1.408910+6 4.897788-4 1.392110+6 5.069907-4 1.334706+6 5.150000-4 1.309383+6 5.188000-4 1.297103+6 5.248075-4 1.278066+6 5.308844-4 1.259364+6 5.432503-4 1.222697+6 5.500000-4 1.202622+6 5.623413-4 1.167183+6 5.688529-4 1.149206+6 5.754399-4 1.131487+6 5.800000-4 1.119475+6 5.821032-4 1.113773+6 6.000000-4 1.067246+6 6.095369-4 1.043684+6 6.165950-4 1.026800+6 6.200000-4 1.018834+6 6.237348-4 1.009830+6 6.382635-4 9.760023+5 6.606934-4 9.275283+5 6.683439-4 9.113711+5 6.760830-4 8.954015+5 6.839116-4 8.796795+5 7.000000-4 8.487758+5 7.079458-4 8.341830+5 7.244360-4 8.041903+5 7.328245-4 7.896370+5 7.413102-4 7.752511+5 7.585776-4 7.472217+5 7.673615-4 7.331371+5 7.800000-4 7.136068+5 8.035261-4 6.794034+5 8.128305-4 6.665780+5 8.200000-4 6.567822+5 8.413951-4 6.283897+5 8.511380-4 6.161078+5 8.709636-4 5.922780+5 8.810489-4 5.807279+5 8.912509-4 5.690808+5 9.015711-4 5.576452+5 9.120108-4 5.464281+5 9.225714-4 5.353683+5 9.440609-4 5.139335+5 9.549926-4 5.035356+5 9.700000-4 4.894242+5 9.772372-4 4.828422+5 9.843200-4 4.765144+5 9.843200-4 1.687255+6 9.885531-4 1.674872+6 1.007300-3 1.621731+6 1.007300-3 2.188178+6 1.011579-3 2.179050+6 1.023293-3 2.154735+6 1.033000-3 2.135280+6 1.034000-3 2.130306+6 1.035142-3 2.127913+6 1.047129-3 2.103089+6 1.055000-3 2.087292+6 1.059254-3 2.076893+6 1.083927-3 2.018775+6 1.110000-3 1.961151+6 1.122018-3 1.927999+6 1.135011-3 1.893263+6 1.161449-3 1.824288+6 1.174898-3 1.786444+6 1.188502-3 1.746360+6 1.202264-3 1.703503+6 1.216186-3 1.658974+6 1.230269-3 1.615556+6 1.244515-3 1.573197+6 1.273503-3 1.491812+6 1.287100-3 1.455679+6 1.287100-3 1.670513+6 1.303167-3 1.626684+6 1.318257-3 1.586415+6 1.333521-3 1.547195+6 1.340000-3 1.530739+6 1.348963-3 1.508181+6 1.380384-3 1.432872+6 1.392800-3 1.404655+6 1.392800-3 1.486569+6 1.396368-3 1.478563+6 1.412538-3 1.443113+6 1.413000-3 1.442099+6 1.428894-3 1.407483+6 1.432000-3 1.400860+6 1.445440-3 1.372637+6 1.450000-3 1.363257+6 1.462177-3 1.338392+6 1.470000-3 1.322751+6 1.479108-3 1.304779+6 1.500000-3 1.264903+6 1.531087-3 1.208509+6 1.548817-3 1.177622+6 1.551800-3 1.172541+6 1.551800-3 1.224672+6 1.584893-3 1.169219+6 1.603245-3 1.139566+6 1.610000-3 1.128915+6 1.640590-3 1.082447+6 1.650000-3 1.068734+6 1.659587-3 1.054979+6 1.678804-3 1.028080+6 1.698244-3 1.001599+6 1.730000-3 9.604965+5 1.737801-3 9.507031+5 1.757924-3 9.261210+5 1.770000-3 9.117508+5 1.778279-3 9.020998+5 1.819701-3 8.558980+5 1.840772-3 8.337246+5 1.850000-3 8.242815+5 1.862087-3 8.121207+5 1.883649-3 7.908666+5 1.927525-3 7.501125+5 1.950000-3 7.301600+5 1.972423-3 7.109547+5 2.065380-3 6.388460+5 2.070000-3 6.355508+5 2.089296-3 6.220446+5 2.113489-3 6.054329+5 2.137962-3 5.891868+5 2.187762-3 5.577678+5 2.213095-3 5.427081+5 2.238721-3 5.280753+5 2.264644-3 5.138166+5 2.300000-3 4.951420+5 2.344229-3 4.730382+5 2.350000-3 4.702469+5 2.398833-3 4.475513+5 2.426610-3 4.353556+5 2.454709-3 4.234665+5 2.511886-3 4.006770+5 2.540973-3 3.897536+5 2.570396-3 3.791444+5 2.600160-3 3.688385+5 2.630268-3 3.587155+5 2.650000-3 3.522961+5 2.660725-3 3.488725+5 2.691535-3 3.391842+5 2.722701-3 3.297547+5 2.754229-3 3.206007+5 2.786121-3 3.117044+5 2.851018-3 2.946852+5 2.884032-3 2.865033+5 2.917427-3 2.785014+5 2.951209-3 2.707279+5 2.985383-3 2.631583+5 3.000000-3 2.600119+5 3.054921-3 2.486175+5 3.090295-3 2.416532+5 3.198895-3 2.219663+5 3.235937-3 2.157837+5 3.273407-3 2.096855+5 3.311311-3 2.037686+5 3.349654-3 1.979896+5 3.400000-3 1.907486+5 3.427678-3 1.869270+5 3.507519-3 1.765013+5 3.589219-3 1.666865+5 3.600000-3 1.654416+5 3.650000-3 1.598372+5 3.672823-3 1.573652+5 3.800000-3 1.444193+5 3.801894-3 1.442382+5 3.845918-3 1.401140+5 3.900000-3 1.352760+5 3.935501-3 1.322289+5 3.981072-3 1.284612+5 4.000000-3 1.269419+5 4.027170-3 1.247940+5 4.073803-3 1.212137+5 4.168694-3 1.143385+5 4.216965-3 1.110425+5 4.265795-3 1.078436+5 4.300000-3 1.056817+5 4.315191-3 1.047406+5 4.415704-3 9.880793+4 4.466836-3 9.596582+4 4.518559-3 9.318812+4 4.570882-3 9.048696+4 4.623810-3 8.786753+4 4.677351-3 8.531561+4 4.731513-3 8.283931+4 4.786301-3 8.043035+4 4.841724-3 7.809491+4 4.897788-3 7.582786+4 5.011872-3 7.149802+4 5.069907-3 6.940842+4 5.188000-3 6.541884+4 5.248075-3 6.350401+4 5.300000-3 6.191190+4 5.308844-3 6.164568+4 5.500000-3 5.627191+4 5.559043-3 5.474633+4 5.623413-3 5.313889+4 5.688529-3 5.157998+4 5.754399-3 5.006287+4 5.821032-3 4.859166+4 5.888437-3 4.716021+4 5.956621-3 4.576865+4 6.025596-3 4.441987+4 6.200700-3 4.123346+4 6.200700-3 1.171783+5 6.237348-3 1.155311+5 6.309573-3 1.123795+5 6.382635-3 1.093030+5 6.400000-3 1.085894+5 6.531306-3 1.029597+5 6.606934-3 9.990089+4 6.683439-3 9.693360+4 6.727400-3 9.528197+4 6.727400-3 1.303080+5 6.760830-3 1.287098+5 6.800000-3 1.268725+5 6.839116-3 1.250410+5 6.918310-3 1.214437+5 6.930000-3 1.209248+5 7.000000-3 1.177604+5 7.079458-3 1.143012+5 7.093300-3 1.137128+5 7.093300-3 1.313205+5 7.161434-3 1.281496+5 7.200000-3 1.264024+5 7.244360-3 1.244590+5 7.250000-3 1.242146+5 7.328245-3 1.209419+5 7.350000-3 1.200440+5 7.413102-3 1.174552+5 7.500000-3 1.140173+5 7.585776-3 1.107921+5 7.673615-3 1.076226+5 7.762471-3 1.045447+5 7.852356-3 1.015564+5 7.943282-3 9.858808+4 8.035261-3 9.570408+4 8.128305-3 9.290597+4 8.222426-3 9.018980+4 8.317638-3 8.755256+4 8.413951-3 8.499430+4 8.511380-3 8.252023+4 8.609938-3 8.010334+4 8.709636-3 7.775932+4 8.810489-3 7.548483+4 8.912509-3 7.325792+4 9.120108-3 6.900503+4 9.225714-3 6.696968+4 9.300000-3 6.557853+4 9.332543-3 6.497893+4 9.772372-3 5.757926+4 9.800000-3 5.715479+4 9.885531-3 5.586693+4 1.011579-2 5.258915+4 1.035142-2 4.950742+4 1.047129-2 4.802995+4 1.059254-2 4.659656+4 1.096478-2 4.254135+4 1.109175-2 4.127131+4 1.148154-2 3.769040+4 1.150000-2 3.753184+4 1.161449-2 3.656200+4 1.174898-2 3.546451+4 1.188502-2 3.440055+4 1.202264-2 3.336923+4 1.216186-2 3.235668+4 1.244515-2 3.042527+4 1.258925-2 2.950418+4 1.273503-2 2.861164+4 1.300000-2 2.708377+4 1.303167-2 2.690751+4 1.333521-2 2.529491+4 1.348963-2 2.452583+4 1.364583-2 2.378081+4 1.380384-2 2.305666+4 1.396368-2 2.235436+4 1.412538-2 2.167404+4 1.462177-2 1.975783+4 1.479108-2 1.915413+4 1.513561-2 1.800141+4 1.531087-2 1.745185+4 1.548817-2 1.691946+4 1.566751-2 1.639904+4 1.584893-2 1.589506+4 1.603245-2 1.540693+4 1.621810-2 1.493205+4 1.640590-2 1.447026+4 1.698244-2 1.317076+4 1.717908-2 1.276429+4 1.737801-2 1.237067+4 1.757924-2 1.198943+4 1.778279-2 1.162001+4 1.819701-2 1.091572+4 1.840772-2 1.057934+4 1.883649-2 9.938066+3 1.900000-2 9.706084+3 1.905461-2 9.630212+3 1.927525-2 9.329906+3 1.949845-2 9.038897+3 1.972423-2 8.757137+3 2.000000-2 8.429290+3 2.018366-2 8.220162+3 2.041738-2 7.964319+3 2.089296-2 7.476825+3 2.113489-2 7.244645+3 2.162719-2 6.800552+3 2.187762-2 6.589102+3 2.213095-2 6.384202+3 2.238721-2 6.184562+3 2.264644-2 5.991314+3 2.290868-2 5.804237+3 2.300000-2 5.740982+3 2.317395-2 5.622394+3 2.344229-2 5.445983+3 2.371374-2 5.275245+3 2.426610-2 4.950044+3 2.483133-2 4.645361+3 2.511886-2 4.499447+3 2.570396-2 4.221286+3 2.600160-2 4.088438+3 2.630268-2 3.959730+3 2.660725-2 3.835143+3 2.691535-2 3.714496+3 2.754229-2 3.484723+3 2.818383-2 3.268495+3 2.900000-2 3.019364+3 2.917427-2 2.969183+3 2.951209-2 2.875132+3 3.019952-2 2.696074+3 3.054921-2 2.610871+3 3.090295-2 2.528308+3 3.126079-2 2.448410+3 3.162278-2 2.370846+3 3.235937-2 2.223183+3 3.273407-2 2.152900+3 3.311311-2 2.084883+3 3.349654-2 2.018808+3 3.427678-2 1.892928+3 3.548134-2 1.717720+3 3.589219-2 1.663067+3 3.630781-2 1.610120+3 3.672823-2 1.558871+3 3.758374-2 1.461317+3 3.801894-2 1.414904+3 3.845918-2 1.369900+3 3.890451-2 1.326342+3 4.027170-2 1.203890+3 4.168694-2 1.091828+3 4.216965-2 1.056886+3 4.265795-2 1.023042+3 4.315191-2 9.902848+2 4.359700-2 9.619910+2 4.359700-2 5.470789+3 4.530000-2 4.975919+3 4.570882-2 4.854183+3 4.600000-2 4.769942+3 4.623810-2 4.707804+3 4.677351-2 4.572140+3 4.731513-2 4.440365+3 4.810000-2 4.258410+3 4.897788-2 4.058026+3 4.954502-2 3.935379+3 5.011872-2 3.816426+3 5.069907-2 3.701082+3 5.128614-2 3.589240+3 5.188000-2 3.480794+3 5.248075-2 3.375630+3 5.370318-2 3.177734+3 5.432503-2 3.083197+3 5.495409-2 2.991484+3 5.559043-2 2.902504+3 5.623413-2 2.816067+3 5.800000-2 2.596513+3 5.888437-2 2.493172+3 5.956621-2 2.417306+3 6.025596-2 2.343755+3 6.095369-2 2.272435+3 6.309573-2 2.071219+3 6.382635-2 2.008202+3 6.456542-2 1.947107+3 6.531306-2 1.887875+3 6.606934-2 1.829608+3 6.760830-2 1.718290+3 7.000000-2 1.562947+3 7.244360-2 1.423408+3 7.328245-2 1.379446+3 7.413102-2 1.336846+3 7.498942-2 1.295565+3 7.673615-2 1.216800+3 7.852356-2 1.142833+3 7.943282-2 1.107514+3 8.128305-2 1.040125+3 8.317638-2 9.759105+2 8.413951-2 9.453095+2 8.511380-2 9.156633+2 8.609938-2 8.869481+2 8.709636-2 8.591361+2 8.912509-2 8.061056+2 9.015711-2 7.808338+2 9.120108-2 7.563562+2 9.332543-2 7.096819+2 9.549926-2 6.658945+2 1.011580-1 5.678060+2 1.023293-1 5.499999+2 1.035142-1 5.325529+2 1.047129-1 5.156556+2 1.059254-1 4.992965+2 1.071519-1 4.834578+2 1.096478-1 4.532733+2 1.122019-1 4.249762+2 1.135011-1 4.114992+2 1.148154-1 3.984493+2 1.202264-1 3.502673+2 1.216186-1 3.391499+2 1.258925-1 3.078751+2 1.273503-1 2.981055+2 1.288250-1 2.886463+2 1.318257-1 2.706210+2 1.333521-1 2.620376+2 1.348963-1 2.537262+2 1.364583-1 2.456474+2 1.380384-1 2.378262+2 1.396368-1 2.302543+2 1.428894-1 2.158273+2 1.445440-1 2.089570+2 1.462177-1 2.023062+2 1.479108-1 1.958674+2 1.496236-1 1.896334+2 1.513561-1 1.835986+2 1.548817-1 1.721011+2 1.584893-1 1.613248+2 1.621810-1 1.512239+2 1.659587-1 1.417586+2 1.678804-1 1.372508+2 1.717908-1 1.286611+2 1.737801-1 1.245701+2 1.757924-1 1.206095+2 1.778279-1 1.167755+2 1.798871-1 1.130633+2 1.819701-1 1.094692+2 1.862087-1 1.026221+2 1.905461-1 9.620362+1 1.949845-1 9.018837+1 1.972423-1 8.732345+1 2.000000-1 8.398927+1 2.041738-1 7.926372+1 2.089296-1 7.430884+1 2.113489-1 7.194903+1 2.137962-1 6.968515+1 2.162719-1 6.749253+1 2.187762-1 6.536951+1 2.238721-1 6.132190+1 2.317395-1 5.571723+1 2.344229-1 5.396705+1 2.371374-1 5.227222+1 2.398833-1 5.063069+1 2.426610-1 4.904087+1 2.483133-1 4.600964+1 2.511886-1 4.456512+1 2.540973-1 4.316627+1 2.570396-1 4.181176+1 2.600160-1 4.051431+1 2.630268-1 3.925717+1 2.660725-1 3.803905+1 2.722701-1 3.571511+1 2.786121-1 3.353338+1 2.818383-1 3.249304+1 2.851018-1 3.148507+1 2.884032-1 3.050870+1 2.917427-1 2.956316+1 2.985383-1 2.776164+1 3.019952-1 2.691815+1 3.054921-1 2.610031+1 3.090295-1 2.530740+1 3.126079-1 2.453858+1 3.162278-1 2.379312+1 3.198895-1 2.307035+1 3.235937-1 2.236972+1 3.273407-1 2.169044+1 3.388442-1 1.977439+1 3.427678-1 1.917415+1 3.467369-1 1.859337+1 3.507519-1 1.803019+1 3.548134-1 1.749343+1 3.589219-1 1.697281+1 3.672823-1 1.597760+1 3.715352-1 1.550226+1 3.758374-1 1.504108+1 3.801894-1 1.459361+1 3.935501-1 1.332966+1 3.981072-1 1.293424+1 4.027170-1 1.255763+1 4.120975-1 1.183699+1 4.168694-1 1.149245+1 4.216965-1 1.115796+1 4.265795-1 1.083320+1 4.365158-1 1.021183+1 4.415705-1 9.914729+0 4.466836-1 9.626279+0 4.472100-1 9.597326+0 4.518559-1 9.352261+0 4.623810-1 8.828545+0 4.677351-1 8.577886+0 4.731513-1 8.334362+0 4.786301-1 8.097760+0 4.841724-1 7.867941+0 4.897788-1 7.644649+0 4.954502-1 7.427693+0 5.011872-1 7.216898+0 5.069907-1 7.016567+0 5.128614-1 6.822382+0 5.188000-1 6.633646+0 5.248075-1 6.450143+0 5.308844-1 6.271779+0 5.370318-1 6.098345+0 5.495409-1 5.765737+0 5.559043-1 5.606300+0 5.623413-1 5.451276+0 5.688529-1 5.304074+0 5.754399-1 5.161355+0 5.821032-1 5.022532+0 5.956621-1 4.755991+0 6.025596-1 4.628073+0 6.095369-1 4.503598+0 6.165950-1 4.382471+0 6.237348-1 4.264615+0 6.309573-1 4.152691+0 6.382635-1 4.043833+0 6.456542-1 3.938143+0 6.606935-1 3.734978+0 6.683439-1 3.637363+0 6.760830-1 3.542298+0 6.918310-1 3.359576+0 6.998420-1 3.273949+0 7.079458-1 3.190518+0 7.161434-1 3.109268+0 7.244360-1 3.030320+0 7.413102-1 2.878392+0 7.585776-1 2.734093+0 7.673615-1 2.664703+0 7.762471-1 2.598756+0 7.852356-1 2.534463+0 8.035261-1 2.410678+0 8.222427-1 2.293287+0 8.317638-1 2.236753+0 8.413951-1 2.181632+0 8.511380-1 2.127890+0 8.609938-1 2.075477+0 8.709636-1 2.025819+0 8.810489-1 1.977386+0 8.912509-1 1.930112+0 9.015711-1 1.884134+0 9.120108-1 1.839271+0 9.225714-1 1.795495+0 9.332543-1 1.752761+0 9.440609-1 1.711050+0 9.549926-1 1.671594+0 9.660509-1 1.633078+0 9.772372-1 1.595469+0 9.885531-1 1.558874+0 1.000000+0 1.523144+0 1.011579+0 1.488234+0 1.023293+0 1.454122+0 1.035142+0 1.420793+0 1.047129+0 1.389008+0 1.059254+0 1.357940+0 1.071519+0 1.327595+0 1.083927+0 1.297929+0 1.096478+0 1.268928+0 1.109175+0 1.240573+0 1.122018+0 1.212859+0 1.135011+0 1.185831+0 1.148154+0 1.159416+0 1.161449+0 1.133603+0 1.174898+0 1.108364+0 1.188502+0 1.083691+0 1.202264+0 1.060211+0 1.216186+0 1.037253+0 1.230269+0 1.014792+0 1.250000+0 9.845512-1 1.258925+0 9.713270-1 1.273503+0 9.503827-1 1.288250+0 9.298920-1 1.318257+0 8.902280-1 1.333521+0 8.710358-1 1.348963+0 8.527756-1 1.380384+0 8.174197-1 1.396368+0 8.003006-1 1.412538+0 7.835451-1 1.500000+0 7.018961-1 1.513561+0 6.907494-1 1.548817+0 6.630485-1 1.584893+0 6.364594-1 1.659587+0 5.866018-1 1.678804+0 5.747635-1 1.698244+0 5.631647-1 1.717908+0 5.521452-1 1.737801+0 5.413483-1 1.798871+0 5.102091-1 1.819701+0 5.002690-1 1.840772+0 4.905227-1 1.862087+0 4.809662-1 1.883649+0 4.715959-1 1.905461+0 4.624110-1 1.927525+0 4.534061-1 1.949845+0 4.448498-1 1.972423+0 4.364611-1 2.018366+0 4.201556-1 2.044000+0 4.114784-1 2.065380+0 4.044842-1 2.113489+0 3.894269-1 2.137962+0 3.821121-1 2.187762+0 3.678932-1 2.213095+0 3.611903-1 2.238721+0 3.546142-1 2.290868+0 3.418187-1 2.317395+0 3.355952-1 2.344229+0 3.295066-1 2.398833+0 3.176589-1 2.426610+0 3.118977-1 2.483133+0 3.006877-1 2.511886+0 2.953967-1 2.540973+0 2.902023-1 2.600160+0 2.800860-1 2.630268+0 2.751610-1 2.660725+0 2.703233-1 2.691535+0 2.655864-1 2.754229+0 2.563604-1 2.786121+0 2.518698-1 2.851018+0 2.431238-1 2.884032+0 2.389905-1 2.917427+0 2.349305-1 3.000000+0 2.253717-1 3.019952+0 2.231593-1 3.054921+0 2.193687-1 3.126079+0 2.120031-1 3.198895+0 2.048848-1 3.235937+0 2.014168-1 3.311311+0 1.946567-1 3.349654+0 1.914597-1 3.388442+0 1.883172-1 3.467369+0 1.821864-1 3.507519+0 1.791962-1 3.548134+0 1.762556-1 3.630781+0 1.705371-1 3.715352+0 1.650042-1 3.758374+0 1.623063-1 3.845918+0 1.570425-1 3.890451+0 1.545512-1 3.935501+0 1.521011-1 4.027170+0 1.473169-1 4.073803+0 1.449815-1 4.120975+0 1.426835-1 4.216965+0 1.382107-1 4.315191+0 1.338781-1 4.365158+0 1.317637-1 4.415704+0 1.296828-1 4.518559+0 1.256192-1 4.570882+0 1.236940-1 4.623810+0 1.217997-1 4.731513+0 1.180976-1 4.786301+0 1.162890-1 4.841724+0 1.145083-1 4.954502+0 1.110400-1 5.069907+0 1.076767-1 5.128614+0 1.060340-1 5.188000+0 1.044164-1 5.308844+0 1.012550-1 5.370318+0 9.975464-2 5.432503+0 9.827748-2 5.559043+0 9.538844-2 5.688529+0 9.258437-2 5.754399+0 9.121360-2 5.888437+0 8.854079-2 6.025596+0 8.594632-2 6.095369+0 8.467809-2 6.237348+0 8.219767-2 6.382635+0 7.978992-2 6.456542+0 7.864411-2 6.531306+0 7.751543-2 6.683439+0 7.530647-2 6.839116+0 7.316046-2 6.918310+0 7.211064-2 7.079458+0 7.006208-2 7.244360+0 6.807172-2 7.328245+0 6.709813-2 7.498942+0 6.519264-2 7.673615+0 6.334129-2 7.762471+0 6.245833-2 7.943282+0 6.073030-2 8.128305+0 5.905009-2 8.317638+0 5.741636-2 8.413951+0 5.661665-2 8.511380+0 5.583035-2 8.609938+0 5.505497-2 8.912509+0 5.279287-2 9.015711+0 5.205989-2 9.225714+0 5.062440-2 9.332543+0 4.992158-2 9.440609+0 4.924592-2 9.549926+0 4.857958-2 9.660509+0 4.792270-2 9.885531+0 4.663546-2 1.000000+1 4.600486-2 1.023293+1 4.476914-2 1.035142+1 4.416387-2 1.047129+1 4.356841-2 1.071519+1 4.240158-2 1.109175+1 4.070958-2 1.122018+1 4.016090-2 1.148154+1 3.908560-2 1.161449+1 3.855882-2 1.174898+1 3.805110-2 1.188502+1 3.755022-2 1.202264+1 3.705621-2 1.230269+1 3.608756-2 1.258925+1 3.514428-2 1.288250+1 3.422560-2 1.303167+1 3.377539-2 1.318257+1 3.333109-2 1.333521+1 3.289385-2 1.364583+1 3.203645-2 1.412538+1 3.079207-2 1.445440+1 2.998971-2 1.462177+1 2.959642-2 1.479108+1 2.921675-2 1.500000+1 2.876089-2 1.513561+1 2.847230-2 1.566751+1 2.739140-2 1.621810+1 2.635155-2 1.659587+1 2.568033-2 1.678804+1 2.535121-2 1.698244+1 2.502629-2 1.717908+1 2.470633-2 1.737801+1 2.439043-2 1.757924+1 2.407858-2 1.800000+1 2.345036-2 1.840772+1 2.287072-2 1.883649+1 2.228978-2 1.905461+1 2.201049-2 1.927525+1 2.173477-2 1.949845+1 2.146249-2 1.972423+1 2.119377-2 2.113489+1 1.965064-2 2.187762+1 1.892173-2 2.238721+1 1.845088-2 2.264644+1 1.821989-2 2.290868+1 1.799226-2 2.317395+1 1.776747-2 2.344229+1 1.754550-2 2.400000+1 1.710076-2 2.426610+1 1.689613-2 2.483133+1 1.647670-2 2.570396+1 1.586700-2 2.600160+1 1.567286-2 2.630268+1 1.548113-2 2.660725+1 1.529176-2 2.691535+1 1.510480-2 2.851018+1 1.420372-2 2.917427+1 1.385853-2 3.000000+1 1.345134-2 3.019952+1 1.335641-2 3.090295+1 1.303244-2 3.126079+1 1.287341-2 3.198895+1 1.256115-2 3.311311+1 1.210691-2 3.388442+1 1.181329-2 3.507519+1 1.138619-2 3.715352+1 1.070839-2 3.758374+1 1.057991-2 3.801894+1 1.045298-2 3.845918+1 1.032759-2 3.890451+1 1.020371-2 3.935501+1 1.008137-2 4.168694+1 9.491301-3 4.265795+1 9.265062-3 4.365158+1 9.044216-3 4.415704+1 8.935967-3 4.466836+1 8.829014-3 4.518559+1 8.723343-3 4.677351+1 8.413855-3 4.841724+1 8.115346-3 4.954502+1 7.922277-3 5.248075+1 7.459476-3 5.688529+1 6.856624-3 5.754399+1 6.775707-3 5.888437+1 6.616726-3 6.000000+1 6.489920-3 6.095369+1 6.385257-3 6.165950+1 6.309939-3 6.606934+1 5.876339-3 6.760830+1 5.738531-3 6.918310+1 5.603955-3 6.998420+1 5.537956-3 7.079458+1 5.472735-3 7.161434+1 5.408283-3 7.413102+1 5.219444-3 7.673615+1 5.037198-3 7.762471+1 4.977883-3 8.413951+1 4.581790-3 9.440609+1 4.069990-3 9.549926+1 4.022590-3 1.000000+2 3.838445-3 1.023293+2 3.749568-3 1.047129+2 3.662748-3 1.059254+2 3.620106-3 1.071519+2 3.577962-3 1.161449+2 3.296368-3 1.188502+2 3.220065-3 1.216186+2 3.145525-3 1.230269+2 3.108907-3 1.244515+2 3.072751-3 1.273503+2 3.001699-3 1.333521+2 2.864485-3 1.412538+2 2.701750-3 1.428894+2 2.670334-3 1.621810+2 2.347954-3 1.883649+2 2.016762-3 1.905461+2 1.993467-3 1.995262+2 1.902948-3 2.041738+2 1.859245-3 2.089296+2 1.816545-3 2.113489+2 1.795567-3 2.137962+2 1.774832-3 2.317395+2 1.636237-3 2.371374+2 1.598664-3 2.426610+2 1.561955-3 2.454709+2 1.543918-3 2.483133+2 1.526099-3 2.540973+2 1.491075-3 2.660725+2 1.423420-3 2.818383+2 1.343152-3 2.851018+2 1.327651-3 3.235937+2 1.168501-3 3.758374+2 1.004829-3 3.801894+2 9.932821-4 3.981072+2 9.484079-4 4.073803+2 9.267378-4 4.168694+2 9.055629-4 4.216965+2 8.951586-4 4.265795+2 8.848738-4 4.623810+2 8.161145-4 4.731513+2 7.974691-4 4.841724+2 7.792497-4 4.897788+2 7.702970-4 4.954502+2 7.614512-4 5.069907+2 7.440632-4 5.308844+2 7.104694-4 5.623413+2 6.706020-4 5.688529+2 6.629014-4 6.456542+2 5.838140-4 1.496236+3 2.512568-4 1.513561+3 2.483792-4 1.584893+3 2.371940-4 1.621810+3 2.317918-4 1.659587+3 2.265127-4 1.678804+3 2.239185-4 1.698244+3 2.213541-4 1.840772+3 2.042069-4 1.883649+3 1.995563-4 1.927525+3 1.950116-4 3.890451+3 9.658585-5 3.935501+3 9.547987-5 4.027170+3 9.330582-5 4.216965+3 8.910507-5 4.466836+3 8.411908-5 4.518559+3 8.315590-5 5.128614+3 7.326163-5 1.000000+5 3.753984-6 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.960000-6 4.960000-6 7.850000-6 4.960000-6 7.850000-6 6.040425-6 8.320000-6 6.254234-6 8.320000-6 6.752910-6 9.120108-6 7.120308-6 9.772372-6 7.371462-6 1.035142-5 7.545947-6 1.100000-5 7.687246-6 1.180000-5 7.798515-6 1.288250-5 7.878356-6 1.470000-5 7.928811-6 2.317395-5 7.978004-6 2.488000-5 7.984091-6 2.488000-5 2.288380-5 2.600160-5 2.240630-5 2.812000-5 2.137276-5 2.812000-5 2.390505-5 2.985383-5 2.320507-5 3.273407-5 2.187012-5 3.672823-5 1.982439-5 4.073803-5 1.775943-5 4.220000-5 1.704770-5 4.480000-5 1.587077-5 4.480000-5 1.611489-5 4.731513-5 1.516579-5 4.841724-5 1.479479-5 5.069907-5 1.410595-5 5.308844-5 1.349807-5 5.450000-5 1.318642-5 5.688529-5 1.273412-5 5.900000-5 1.239809-5 6.165950-5 1.204809-5 6.456542-5 1.174021-5 6.900000-5 1.139267-5 7.413102-5 1.110962-5 8.035261-5 1.087806-5 8.609938-5 1.073081-5 9.440609-5 1.059164-5 1.011579-4 1.052257-5 1.122018-4 1.046700-5 1.246200-4 1.045454-5 1.246200-4 1.410554-5 1.280000-4 1.572934-5 1.286800-4 1.603071-5 1.286800-4 1.772148-5 1.305500-4 1.868080-5 1.318257-4 1.923614-5 1.332000-4 1.971308-5 1.344000-4 2.002182-5 1.359000-4 2.027325-5 1.375000-4 2.039420-5 1.390000-4 2.038864-5 1.412538-4 2.022118-5 1.439000-4 1.986296-5 1.485000-4 1.905097-5 1.584893-4 1.718603-5 1.621810-4 1.656256-5 1.659587-4 1.600257-5 1.698244-4 1.552037-5 1.720000-4 1.528858-5 1.760000-4 1.495303-5 1.800000-4 1.472014-5 1.842000-4 1.458636-5 1.885000-4 1.454992-5 1.937000-4 1.462140-5 1.980000-4 1.476072-5 2.041738-4 1.506436-5 2.120000-4 1.557405-5 2.213095-4 1.627584-5 2.297200-4 1.696493-5 2.297200-4 2.204443-5 2.527600-4 2.371759-5 2.527600-4 2.530516-5 2.722701-4 2.655580-5 2.951209-4 2.783370-5 3.135800-4 2.871455-5 3.135800-4 3.135530-5 3.390000-4 3.236267-5 3.650000-4 3.322766-5 4.027170-4 3.424669-5 4.466836-4 3.519766-5 5.069907-4 3.619903-5 5.821032-4 3.715795-5 6.839116-4 3.814373-5 8.200000-4 3.915110-5 9.843200-4 4.010388-5 9.843200-4 6.477365-5 1.007300-3 6.483134-5 1.007300-3 6.801739-5 1.110000-3 6.871843-5 1.202264-3 6.895524-5 1.287100-3 6.887160-5 1.287100-3 7.495306-5 1.392800-3 7.540408-5 1.392800-3 7.793475-5 1.551800-3 7.887835-5 1.551800-3 8.178916-5 1.972423-3 8.446420-5 2.570396-3 8.758661-5 3.273407-3 9.054812-5 4.073803-3 9.324942-5 5.069907-3 9.595164-5 6.200700-3 9.838454-5 6.200700-3 1.354990-4 6.727400-3 1.359544-4 6.727400-3 1.437133-4 7.093300-3 1.439434-4 7.093300-3 1.508254-4 1.011579-2 1.537218-4 1.513561-2 1.569970-4 2.213095-2 1.601012-4 3.235937-2 1.631294-4 4.359700-2 1.653913-4 4.359700-2 1.625551-4 1.148154-1 1.633755-4 4.518559-1 1.639058-4 1.000000+5 1.639935-4 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.960000-6 0.0 1.286800-4 0.0 1.286800-4 1.298999-9 1.293000-4 1.377115-9 1.299000-4 1.457653-9 1.305500-4 1.550968-9 1.332000-4 1.952594-9 1.338000-4 2.038245-9 1.344000-4 2.119450-9 1.350000-4 2.195536-9 1.357000-4 2.275920-9 1.363000-4 2.337430-9 1.370000-4 2.399492-9 1.377000-4 2.450963-9 1.385000-4 2.496878-9 1.390000-4 2.519416-9 1.398000-4 2.544636-9 1.408000-4 2.561330-9 1.416000-4 2.563791-9 1.428894-4 2.549754-9 1.439000-4 2.528810-9 1.450000-4 2.496176-9 1.470000-4 2.419786-9 1.485000-4 2.356609-9 1.513561-4 2.220920-9 1.584893-4 1.865951-9 1.621810-4 1.689987-9 1.659587-4 1.523886-9 1.680000-4 1.440844-9 1.713000-4 1.320729-9 1.740000-4 1.236262-9 1.765800-4 1.166952-9 1.790000-4 1.112106-9 1.810000-4 1.074287-9 1.828000-4 1.045840-9 1.850000-4 1.017712-9 1.873000-4 9.95899-10 1.895000-4 9.81882-10 1.915000-4 9.74393-10 1.937000-4 9.71477-10 1.957000-4 9.73546-10 1.980000-4 9.80999-10 2.000000-4 9.91286-10 2.030000-4 1.013056-9 2.065380-4 1.047480-9 2.090000-4 1.075735-9 2.120000-4 1.114419-9 2.170000-4 1.187315-9 2.238721-4 1.300126-9 2.297200-4 1.402776-9 2.297200-4 2.654224-9 2.527600-4 3.031361-9 2.527600-4 3.658894-9 2.691535-4 3.911493-9 2.888500-4 4.189218-9 3.054921-4 4.398050-9 3.135800-4 4.489832-9 3.135800-4 5.104832-9 3.349654-4 5.322051-9 3.600000-4 5.542612-9 3.890451-4 5.758613-9 4.265795-4 5.992802-9 4.623810-4 6.177389-9 5.150000-4 6.397865-9 5.800000-4 6.621410-9 6.382635-4 6.784029-9 7.413102-4 7.023499-9 8.709636-4 7.260739-9 9.843200-4 7.435617-9 9.843200-4 8.843354-9 1.007300-3 8.853891-9 1.007300-3 6.219924-7 1.033000-3 6.546884-7 1.034000-3 6.535364-7 1.055000-3 6.782044-7 1.110000-3 7.212718-7 1.135011-3 7.468186-7 1.161449-3 7.719461-7 1.174898-3 7.805062-7 1.188502-3 7.859079-7 1.202264-3 7.878635-7 1.287100-3 7.843688-7 1.287100-3 8.463083-7 1.392800-3 8.487748-7 1.392800-3 9.535163-7 1.479108-3 9.648678-7 1.551800-3 9.722798-7 1.551800-3 1.030653-6 1.778279-3 1.059081-6 2.187762-3 1.102863-6 2.660725-3 1.145867-6 3.273407-3 1.192173-6 3.981072-3 1.235982-6 4.841724-3 1.279742-6 5.888437-3 1.322781-6 6.200700-3 1.334056-6 6.200700-3 4.864637-4 6.400000-3 4.881159-4 6.727400-3 4.880148-4 6.727400-3 6.161288-4 7.093300-3 6.174359-4 7.093300-3 6.504272-4 9.332543-3 6.568601-4 1.462177-2 6.636152-4 2.511886-2 6.691271-4 4.359700-2 6.732014-4 4.359700-2 2.984248-2 5.069907-2 3.006261-2 6.606934-2 3.034423-2 9.332543-2 3.057294-2 1.584893-1 3.076886-2 4.731513-1 3.089744-2 1.250000+0 3.100250-2 1.000000+5 3.099588-2 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.960000-6 0.0 7.850000-6 2.890000-6 7.850000-6 1.809575-6 8.200000-6 2.002370-6 8.320000-6 2.065766-6 8.320000-6 1.567090-6 8.709636-6 1.772442-6 9.120108-6 1.999800-6 9.440609-6 2.190231-6 9.772372-6 2.400910-6 1.000000-5 2.554246-6 1.035142-5 2.805473-6 1.071519-5 3.083585-6 1.100000-5 3.312754-6 1.150000-5 3.736372-6 1.216186-5 4.329768-6 1.310000-5 5.211747-6 1.470000-5 6.771189-6 2.488000-5 1.689591-5 2.488000-5 1.996198-6 2.600160-5 3.595303-6 2.722701-5 5.402686-6 2.812000-5 6.747243-6 2.812000-5 4.214949-6 2.917427-5 5.685908-6 2.985383-5 6.648758-6 3.090295-5 8.164276-6 3.273407-5 1.086395-5 3.467369-5 1.378069-5 4.073803-5 2.297860-5 4.415704-5 2.800700-5 4.480000-5 2.892923-5 4.480000-5 2.868511-5 4.841724-5 3.362245-5 5.150000-5 3.761102-5 5.559043-5 4.262125-5 6.095369-5 4.882107-5 6.800000-5 5.653692-5 8.000000-5 6.911086-5 1.060000-4 9.550986-5 1.246200-4 1.141655-4 1.246200-4 1.105145-4 1.286800-4 1.126493-4 1.286800-4 1.109572-4 1.325000-4 1.130116-4 1.359000-4 1.156245-4 1.398000-4 1.194485-4 1.470000-4 1.276686-4 1.659587-4 1.499546-4 1.790000-4 1.642294-4 1.950000-4 1.803423-4 2.238721-4 2.073885-4 2.297200-4 2.127537-4 2.297200-4 2.076729-4 2.527600-4 2.290394-4 2.527600-4 2.274512-4 3.135800-4 2.848610-4 3.135800-4 2.822196-4 4.265795-4 3.917792-4 7.413102-4 7.026976-4 9.843200-4 9.442087-4 9.843200-4 9.195375-4 1.007300-3 9.424598-4 1.007300-3 9.386606-4 1.287100-3 1.217444-3 1.287100-3 1.211301-3 1.392800-3 1.316547-3 1.392800-3 1.313912-3 1.551800-3 1.471949-3 1.551800-3 1.468980-3 6.200700-3 6.100981-3 6.200700-3 5.578737-3 6.727400-3 6.103431-3 6.727400-3 5.967558-3 7.093300-3 6.331921-3 7.093300-3 6.292047-3 4.359700-2 4.275841-2 4.359700-2 1.359196-2 4.570882-2 1.561835-2 5.128614-2 2.104879-2 6.531306-2 3.481372-2 1.096478-1 7.883554-2 1.000000+5 9.999997+4 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 4.359700-2 4.508798+3 4.530000-2 4.112480+3 4.600000-2 3.943000+3 4.810000-2 3.529440+3 5.248075-2 2.806438+3 5.800000-2 2.167980+3 6.531306-2 1.582232+3 8.128305-2 8.765196+2 1.023293-1 4.654117+2 1.348963-1 2.154295+2 2.113489-1 6.126732+1 2.570396-1 3.562852+1 2.985383-1 2.366689+1 3.507519-1 1.538030+1 3.981072-1 1.103803+1 4.472100-1 8.193511+0 5.011872-1 6.163787+0 5.623413-1 4.657967+0 6.237348-1 3.645435+0 6.918310-1 2.873067+0 7.673615-1 2.279988+0 8.609938-1 1.776840+0 9.440609-1 1.465390+0 1.035142+0 1.217097+0 1.188502+0 9.284390-1 1.333521+0 7.462064-1 1.500000+0 6.012437-1 1.698244+0 4.823973-1 1.927525+0 3.883865-1 2.187762+0 3.151405-1 2.483133+0 2.575707-1 2.851018+0 2.082658-1 3.311311+0 1.667474-1 3.845918+0 1.345276-1 4.518559+0 1.076087-1 5.308844+0 8.673741-2 6.382635+0 6.835040-2 7.673615+0 5.425995-2 9.332543+0 4.276387-2 1.161449+1 3.303026-2 1.462177+1 2.535319-2 1.883649+1 1.909416-2 2.570396+1 1.359204-2 3.715352+1 9.173018-3 5.688529+1 5.873481-3 9.440609+1 3.486396-3 1.883649+2 1.727626-3 3.758374+2 8.608148-4 1.496236+3 2.152309-4 1.000000+5 3.216100-6 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 4.359700-2 1.619500-4 1.000000+5 1.619500-4 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.359700-2 3.606600-2 1.000000+5 3.606600-2 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.359700-2 7.369050-3 1.000000+5 9.999996+4 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 7.093300-3 1.760767+4 7.200000-3 1.708686+4 7.250000-3 1.687888+4 7.350000-3 1.653502+4 7.500000-3 1.595260+4 7.852356-3 1.481814+4 8.413951-3 1.311151+4 9.225714-3 1.118933+4 9.885531-3 9.857586+3 1.150000-2 7.428740+3 1.462177-2 4.629875+3 1.621810-2 3.741967+3 1.883649-2 2.737046+3 2.213095-2 1.931194+3 2.483133-2 1.496737+3 2.900000-2 1.053264+3 3.427678-2 7.141304+2 4.027170-2 4.865070+2 4.731513-2 3.286406+2 5.559043-2 2.202180+2 6.606934-2 1.422147+2 7.852356-2 9.111773+1 9.549926-2 5.454694+1 1.202264-1 2.956970+1 2.317395-1 5.022777+0 2.917427-1 2.714453+0 3.427678-1 1.776715+0 3.935501-1 1.243926+0 4.466836-1 9.034046-1 5.069907-1 6.609345-1 5.688529-1 5.010762-1 6.382635-1 3.827806-1 7.161434-1 2.946697-1 8.035261-1 2.285963-1 8.912509-1 1.831472-1 9.772372-1 1.514533-1 1.122018+0 1.151462-1 1.258925+0 9.220864-2 1.412538+0 7.438105-2 1.584893+0 6.040740-2 1.798871+0 4.842159-2 2.044000+0 3.905299-2 2.317395+0 3.185285-2 2.660725+0 2.565411-2 3.054921+0 2.081696-2 3.548134+0 1.672556-2 4.120975+0 1.353915-2 4.841724+0 1.086626-2 5.754399+0 8.655387-3 6.918310+0 6.843126-3 8.413951+0 5.372747-3 1.035142+1 4.190847-3 1.318257+1 3.162844-3 1.698244+1 2.374931-3 2.264644+1 1.728969-3 3.019952+1 1.267389-3 4.365158+1 8.582366-4 6.918310+1 5.317772-4 1.230269+2 2.950304-4 2.454709+2 1.465906-4 4.897788+2 7.312062-5 3.890451+3 9.169062-6 1.000000+5 3.565300-7 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 7.093300-3 1.952700-4 1.000000+5 1.952700-4 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 7.093300-3 8.634900-4 1.000000+5 8.634900-4 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 7.093300-3 6.034540-3 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 6.727400-3 3.502600+4 6.930000-3 3.287800+4 7.328245-3 2.857700+4 8.511380-3 1.928500+4 9.300000-3 1.517300+4 1.059254-2 1.059000+4 1.300000-2 5.967900+3 1.603245-2 3.252700+3 1.819701-2 2.237600+3 2.113489-2 1.431100+3 2.570396-2 7.894600+2 3.126079-2 4.312300+2 3.801894-2 2.335900+2 4.677351-2 1.210900+2 6.025596-2 5.378700+1 1.202264-1 5.778885+0 1.513561-1 2.761687+0 1.819701-1 1.540367+0 2.162719-1 8.976284-1 2.511886-1 5.662282-1 2.884032-1 3.728367-1 3.273407-1 2.560518-1 3.672823-1 1.831780-1 4.120975-1 1.319581-1 4.623810-1 9.577939-2 5.128614-1 7.227272-2 5.688529-1 5.490859-2 6.309573-1 4.201641-2 6.998420-1 3.239099-2 7.762471-1 2.506276-2 8.413951-1 2.066045-2 9.015711-1 1.761581-2 9.660509-1 1.512253-2 1.035142+0 1.308259-2 1.135011+0 1.087153-2 1.250000+0 9.026861-3 1.380384+0 7.518058-3 1.659587+0 5.415775-3 1.883649+0 4.352199-3 2.113489+0 3.593090-3 2.398833+0 2.931132-3 2.754229+0 2.365444-3 3.198895+0 1.890448-3 3.715352+0 1.522530-3 4.315191+0 1.235182-3 5.069907+0 9.934901-4 6.025596+0 7.929365-4 7.244360+0 6.280500-4 8.912509+0 4.871255-4 1.109175+1 3.756303-4 1.412538+1 2.841629-4 1.800000+1 2.164300-4 2.400000+1 1.578000-4 3.311311+1 1.116957-4 4.841724+1 7.486862-5 7.673615+1 4.646930-5 1.412538+2 2.492599-5 2.818383+2 1.239906-5 5.623413+2 6.187476-6 4.466836+3 7.763373-7 1.000000+5 3.466200-8 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 6.727400-3 1.648200-4 1.000000+5 1.648200-4 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 6.727400-3 9.646400-4 1.000000+5 9.646400-4 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 6.727400-3 5.597940-3 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 6.200700-3 7.594480+4 6.400000-3 7.061760+4 6.800000-3 6.022920+4 7.852356-3 4.069779+4 8.810489-3 2.943640+4 1.035142-2 1.851950+4 1.202264-2 1.200395+4 1.364583-2 8.224764+3 1.548817-2 5.620963+3 1.905461-2 2.973112+3 2.300000-2 1.648268+3 2.754229-2 9.279634+2 3.311311-2 5.112978+2 4.027170-2 2.689995+2 4.897788-2 1.403795+2 6.095369-2 6.734595+1 8.128305-2 2.539489+1 1.318257-1 4.905643+0 1.621810-1 2.439575+0 1.905461-1 1.427140+0 2.238721-1 8.409696-1 2.540973-1 5.589029-1 2.851018-1 3.880459-1 3.198895-1 2.713784-1 3.548134-1 1.980457-1 3.935501-1 1.455434-1 4.365158-1 1.077857-1 4.786301-1 8.309005-2 5.248075-1 6.447897-2 5.754399-1 5.039631-2 6.309573-1 3.967562-2 6.918310-1 3.145632-2 7.585776-1 2.511168-2 8.317638-1 2.018977-2 9.120108-1 1.635255-2 9.885531-1 1.367838-2 1.059254+0 1.184389-2 1.148154+0 1.007972-2 1.258925+0 8.447313-3 1.396368+0 6.987975-3 1.698244+0 4.940313-3 1.927525+0 3.975061-3 2.187762+0 3.224912-3 2.483133+0 2.635637-3 2.851018+0 2.130970-3 3.311311+0 1.706113-3 3.845918+0 1.376449-3 4.518559+0 1.101011-3 5.308844+0 8.874523-4 6.382635+0 6.993232-4 7.673615+0 5.551565-4 9.440609+0 4.315565-4 1.174898+1 3.334622-4 1.479108+1 2.560408-4 1.905461+1 1.928913-4 2.600160+1 1.373509-4 3.801894+1 9.160055-5 5.888437+1 5.797929-5 1.000000+2 3.363300-5 1.995262+2 1.667694-5 3.981072+2 8.311580-6 1.584893+3 2.078815-6 1.000000+5 3.290600-8 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 6.200700-3 1.556500-4 1.000000+5 1.556500-4 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 6.200700-3 7.498600-4 1.000000+5 7.498600-4 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 6.200700-3 5.295190-3 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.551800-3 5.213070+4 1.650000-3 4.863480+4 1.770000-3 4.433000+4 1.850000-3 4.189060+4 1.950000-3 3.890620+4 2.511886-3 2.679000+4 2.691535-3 2.409500+4 3.311311-3 1.719078+4 3.650000-3 1.458500+4 4.415704-3 1.046124+4 5.188000-3 7.814456+3 5.888437-3 6.180539+3 6.918310-3 4.552287+3 8.222426-3 3.252553+3 9.800000-3 2.291140+3 1.161449-2 1.618954+3 1.380384-2 1.128156+3 1.621810-2 7.992395+2 1.900000-2 5.656140+2 2.213095-2 4.026248+2 2.600160-2 2.790616+2 3.054921-2 1.919599+2 3.589219-2 1.310899+2 4.216965-2 8.885122+1 4.954502-2 5.979121+1 5.888437-2 3.881143+1 7.000000-2 2.498720+1 8.413951-2 1.551867+1 1.035142-1 8.999922+0 1.348963-1 4.442437+0 2.344229-1 1.002076+0 2.884032-1 5.769360-1 3.427678-1 3.667082-1 3.935501-1 2.569273-1 4.466836-1 1.866880-1 5.069907-1 1.366371-1 5.688529-1 1.036012-1 6.309573-1 8.127543-2 7.079458-1 6.253778-2 7.852356-1 4.973548-2 8.709636-1 3.977936-2 9.549926-1 3.282772-2 1.059254+0 2.666606-2 1.202264+0 2.082296-2 1.348963+0 1.674850-2 1.513561+0 1.356602-2 1.717908+0 1.084261-2 1.949845+0 8.735429-3 2.213095+0 7.092721-3 2.511886+0 5.800378-3 2.884032+0 4.692591-3 3.349654+0 3.759158-3 3.890451+0 3.034474-3 4.570882+0 2.428647-3 5.370318+0 1.958651-3 6.456542+0 1.544206-3 7.762471+0 1.226409-3 9.549926+0 9.537779-4 1.188502+1 7.372580-4 1.500000+1 5.646800-4 1.949845+1 4.213502-4 2.660725+1 3.002086-4 3.890451+1 2.003180-4 6.095369+1 1.253460-4 1.047129+2 7.190139-5 2.089296+2 3.566896-5 4.168694+2 1.778077-5 1.659587+3 4.448229-6 1.000000+5 7.373200-8 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.551800-3 1.472600-4 1.000000+5 1.472600-4 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.551800-3 2.343600-6 1.000000+5 2.343600-6 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.551800-3 1.402196-3 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.392800-3 8.191470+4 1.413000-3 8.162982+4 1.432000-3 8.090818+4 1.470000-3 7.920084+4 1.584893-3 7.322795+4 1.659587-3 6.944218+4 1.778279-3 6.353790+4 1.927525-3 5.696007+4 2.089296-3 5.077020+4 2.238721-3 4.575569+4 2.426610-3 4.024829+4 2.600160-3 3.581156+4 3.000000-3 2.787140+4 3.235937-3 2.423967+4 3.672823-3 1.899079+4 4.027170-3 1.581124+4 4.518559-3 1.245688+4 5.011872-3 9.994667+3 5.688529-3 7.559198+3 6.309573-3 5.978305+3 7.244360-3 4.330226+3 8.128305-3 3.283282+3 9.120108-3 2.473812+3 1.047129-2 1.745985+3 1.202264-2 1.221287+3 1.364583-2 8.734756+2 1.548817-2 6.204456+2 1.757924-2 4.377710+2 2.000000-2 3.048360+2 2.300000-2 2.045100+2 2.660725-2 1.339090+2 3.126079-2 8.313138+1 3.630781-2 5.302507+1 4.265795-2 3.245214+1 5.188000-2 1.773323+1 6.456542-2 8.947711+0 8.511380-2 3.736993+0 1.396368-1 7.771028-1 1.737801-1 3.906348-1 2.041738-1 2.367389-1 2.426610-1 1.396464-1 2.818383-1 8.898822-2 3.235937-1 5.916174-2 3.672823-1 4.100666-2 4.120975-1 2.960435-2 4.623810-1 2.153963-2 5.188000-1 1.578951-2 5.754399-1 1.201886-2 6.382635-1 9.215109-3 7.079458-1 7.119342-3 7.852356-1 5.542426-3 8.709636-1 4.333104-3 9.332543-1 3.701411-3 9.885531-1 3.264830-3 1.071519+0 2.763569-3 1.174898+0 2.302621-3 1.273503+0 1.975418-3 1.412538+0 1.634944-3 1.698244+0 1.179652-3 1.927525+0 9.492944-4 2.187762+0 7.702549-4 2.483133+0 6.295741-4 2.851018+0 5.090727-4 3.311311+0 4.075849-4 3.845918+0 3.288228-4 4.518559+0 2.630268-4 5.308844+0 2.120102-4 6.382635+0 1.670668-4 7.762471+0 1.307564-4 9.549926+0 1.016915-4 1.188502+1 7.860503-5 1.500000+1 6.020500-5 1.949845+1 4.492310-5 2.660725+1 3.200780-5 3.890451+1 2.135797-5 6.165950+1 1.320564-5 1.071519+2 7.488049-6 2.137962+2 3.715632-6 4.265795+2 1.852373-6 1.698244+3 4.634567-7 1.000000+5 7.861200-9 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.392800-3 1.213300-4 1.000000+5 1.213300-4 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.392800-3 2.749600-6 1.000000+5 2.749600-6 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.392800-3 1.268720-3 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.287100-3 2.148341+5 1.340000-3 2.060661+5 1.412538-3 1.934404+5 1.500000-3 1.788716+5 1.584893-3 1.654800+5 1.757924-3 1.414267+5 1.927525-3 1.223610+5 2.113489-3 1.050084+5 2.264644-3 9.306490+4 2.660725-3 6.919788+4 2.884032-3 5.932283+4 3.235937-3 4.711406+4 3.589219-3 3.808730+4 4.000000-3 3.021736+4 4.466836-3 2.373054+4 5.011872-3 1.828636+4 5.559043-3 1.438167+4 6.309573-3 1.063197+4 7.000000-3 8.246520+3 7.943282-3 6.008440+3 9.120108-3 4.211015+3 1.035142-2 3.015180+3 1.161449-2 2.211298+3 1.303167-2 1.612148+3 1.479108-2 1.130972+3 1.698244-2 7.620802+2 1.927525-2 5.269688+2 2.187762-2 3.620180+2 2.511886-2 2.386596+2 2.900000-2 1.536268+2 3.349654-2 9.803289+1 3.890451-2 6.107469+1 4.623810-2 3.509132+1 5.495409-2 2.001154+1 6.760830-2 1.011445+1 8.709636-2 4.354068+0 1.445440-1 7.995350-1 1.757924-1 4.180204-1 2.089296-1 2.375918-1 2.398833-1 1.521648-1 2.722701-1 1.018457-1 3.054921-1 7.118826-2 3.427678-1 5.014090-2 3.801894-1 3.682150-2 4.265795-1 2.633045-2 4.677351-1 2.026706-2 5.128614-1 1.570679-2 5.623413-1 1.226329-2 6.165950-1 9.643722-3 6.760830-1 7.639145-3 7.413102-1 6.093780-3 8.511380-1 4.385682-3 9.120108-1 3.742010-3 9.772372-1 3.215180-3 1.047129+0 2.784345-3 1.148154+0 2.315891-3 1.258925+0 1.940717-3 1.396368+0 1.604338-3 1.678804+0 1.156445-3 1.905461+0 9.299486-4 2.137962+0 7.682263-4 2.426610+0 6.270646-4 2.786121+0 5.063456-4 3.235937+0 4.048954-4 3.758374+0 3.262759-4 4.365158+0 2.648347-4 5.128614+0 2.131311-4 6.095369+0 1.701955-4 7.328245+0 1.348619-4 9.015711+0 1.046499-4 1.122018+1 8.073155-5 1.412538+1 6.190097-5 1.800000+1 4.714500-5 2.426610+1 3.396350-5 3.388442+1 2.374346-5 4.954502+1 1.592205-5 7.762471+1 1.000348-5 1.428894+2 5.366710-6 2.851018+2 2.669840-6 5.688529+2 1.332340-6 4.518559+3 1.671745-7 1.000000+5 7.550500-9 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.287100-3 1.161600-4 1.000000+5 1.161600-4 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.287100-3 1.266000-6 1.000000+5 1.266000-6 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.287100-3 1.169674-3 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.007300-3 5.664471+5 1.033000-3 5.822223+5 1.034000-3 5.798297+5 1.055000-3 5.898550+5 1.135011-3 5.898544+5 1.161449-3 5.877162+5 1.174898-3 5.819792+5 1.188502-3 5.729023+5 1.202264-3 5.602482+5 1.333521-3 4.381741+5 1.450000-3 3.565016+5 1.584893-3 2.840728+5 1.730000-3 2.255452+5 1.927525-3 1.681135+5 2.137962-3 1.260331+5 2.344229-3 9.667219+4 2.660725-3 6.675081+4 2.951209-3 4.887614+4 3.311311-3 3.438954+4 3.672823-3 2.488326+4 4.168694-3 1.664540+4 4.731513-3 1.103332+4 5.300000-3 7.583160+3 6.025596-3 4.923591+3 6.839116-3 3.189643+3 7.762471-3 2.051586+3 8.810489-3 1.310328+3 1.011579-2 7.972332+2 1.161449-2 4.812013+2 1.333521-2 2.882165+2 1.548817-2 1.640041+2 1.778279-2 9.673676+1 2.041738-2 5.668833+1 2.371374-2 3.156433+1 2.818383-2 1.593887+1 3.427678-2 7.286314+0 4.265795-2 3.012635+0 8.609938-2 1.727805-1 1.059254-1 7.475995-2 1.273503-1 3.576748-2 1.496236-1 1.889604-2 1.717908-1 1.101077-2 1.972423-1 6.462930-3 2.238721-1 3.992227-3 2.511886-1 2.594047-3 2.818383-1 1.698255-3 3.090295-1 1.217902-3 3.427678-1 8.441913-4 3.801894-1 5.891760-4 4.265795-1 3.980374-4 4.731513-1 2.817401-4 5.248075-1 2.010374-4 5.688529-1 1.556033-4 6.095369-1 1.256265-4 6.606935-1 9.869680-5 7.244360-1 7.551144-5 8.035261-1 5.630356-5 8.609938-1 4.607022-5 9.120108-1 3.925152-5 9.549926-1 3.475273-5 1.000000+0 3.098924-5 1.047129+0 2.785534-5 1.096478+0 2.521381-5 1.148154+0 2.296048-5 1.216186+0 2.056806-5 1.318257+0 1.778957-5 1.513561+0 1.406497-5 1.840772+0 9.987584-6 2.044000+0 8.369931-6 2.317395+0 6.826629-6 2.660725+0 5.498148-6 3.054921+0 4.461512-6 3.548134+0 3.584622-6 4.120975+0 2.901723-6 4.841724+0 2.328901-6 5.754399+0 1.855013-6 6.918310+0 1.466634-6 8.511380+0 1.135507-6 1.047129+1 8.860616-7 1.333521+1 6.689812-7 1.717908+1 5.025198-7 2.290868+1 3.659371-7 3.090295+1 2.650425-7 4.466836+1 1.795530-7 7.079458+1 1.112982-7 1.273503+2 6.104982-8 2.540973+2 3.034281-8 5.069907+2 1.513732-8 4.027170+3 1.898396-9 1.000000+5 7.64120-11 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.007300-3 7.713900-5 1.000000+5 7.713900-5 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.007300-3 2.377400-6 1.000000+5 2.377400-6 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.007300-3 9.277836-4 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 9.843200-4 1.210741+6 1.110000-3 9.901560+5 1.174898-3 8.627349+5 1.303167-3 6.730457+5 1.412538-3 5.508593+5 1.531087-3 4.479172+5 1.678804-3 3.510128+5 1.862087-3 2.646579+5 2.089296-3 1.918362+5 2.300000-3 1.452036+5 2.600160-3 1.011812+5 2.851018-3 7.658949+4 3.235937-3 5.189367+4 3.672823-3 3.482990+4 4.073803-3 2.498928+4 4.623810-3 1.651994+4 5.188000-3 1.125577+4 5.821032-3 7.620303+3 6.683439-3 4.729742+3 7.673615-3 2.909002+3 8.709636-3 1.848960+3 9.800000-3 1.204674+3 1.096478-2 7.968466+2 1.244515-2 4.967040+2 1.412538-2 3.075242+2 1.621810-2 1.809117+2 1.840772-2 1.105294+2 2.113489-2 6.415225+1 2.483133-2 3.373587+1 2.917427-2 1.761184+1 3.548134-2 7.925362+0 4.315191-2 3.540432+0 5.623413-2 1.179376+0 8.709636-2 1.910095-1 1.071519-1 8.115795-2 1.258925-1 4.198600-2 1.462177-1 2.293578-2 1.659587-1 1.384504-2 1.862087-1 8.806646-3 2.000000-1 6.673980-3 2.089296-1 5.664416-3 2.317395-1 3.822827-3 2.570396-1 2.597483-3 2.851018-1 1.777370-3 3.162278-1 1.225348-3 3.467369-1 8.865957-4 3.758374-1 6.722572-4 4.027170-1 5.331877-4 4.365158-1 4.100144-4 4.731513-1 3.175595-4 5.128614-1 2.477618-4 5.559043-1 1.947212-4 6.095369-1 1.489998-4 6.683439-1 1.147905-4 7.244360-1 9.195997-5 7.852356-1 7.413840-5 8.609938-1 5.814956-5 9.120108-1 5.027319-5 9.660509-1 4.378345-5 1.011579+0 3.944947-5 1.071519+0 3.487726-5 1.135011+0 3.102431-5 1.216186+0 2.714383-5 1.318257+0 2.340121-5 1.798871+0 1.356455-5 2.018366+0 1.115976-5 2.290868+0 9.077515-6 2.600160+0 7.437381-6 3.000000+0 5.985000-6 3.467369+0 4.838174-6 4.027170+0 3.912133-6 4.731513+0 3.136350-6 5.559043+0 2.533274-6 6.683439+0 2.000027-6 8.128305+0 1.568221-6 1.000000+1 1.221700-6 1.258925+1 9.332502-7 1.621810+1 6.996811-7 2.187762+1 5.024239-7 2.917427+1 3.680060-7 4.265795+1 2.460349-7 6.760830+1 1.523822-7 1.188502+2 8.550990-8 2.371374+2 4.247458-8 4.731513+2 2.118372-8 1.883649+3 5.302435-9 1.000000+5 9.97680-11 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 9.843200-4 7.448300-5 1.000000+5 7.448300-5 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 9.843200-4 9.397400-9 1.000000+5 9.397400-9 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 9.843200-4 9.098276-4 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 3.135800-4 1.215400+5 3.349654-4 1.171487+5 3.600000-4 1.116929+5 3.890451-4 1.052611+5 4.216965-4 9.819878+4 4.518559-4 9.226092+4 5.069907-4 8.171104+4 5.623413-4 7.294078+4 6.095369-4 6.626634+4 7.079458-4 5.480167+4 7.800000-4 4.815380+4 9.015711-4 3.927297+4 1.011579-3 3.318400+4 1.174898-3 2.642698+4 1.348963-3 2.124975+4 1.548817-3 1.698125+4 1.840772-3 1.272365+4 2.213095-3 9.265935+3 2.660725-3 6.692889+3 3.198895-3 4.797684+3 3.845918-3 3.415716+3 4.731513-3 2.312637+3 5.754399-3 1.587863+3 6.918310-3 1.106558+3 8.222426-3 7.833749+2 9.772372-3 5.507259+2 1.161449-2 3.844959+2 1.380384-2 2.664999+2 1.640590-2 1.833902+2 1.949845-2 1.252679+2 2.317395-2 8.490098+1 2.754229-2 5.708843+1 3.235937-2 3.912672+1 3.845918-2 2.589608+1 4.570882-2 1.700427+1 5.370318-2 1.140056+1 6.382635-2 7.373164+0 7.673615-2 4.596986+0 9.120108-2 2.929835+0 1.135011-1 1.642788+0 1.513561-1 7.606377-1 2.317395-1 2.412419-1 2.851018-1 1.388800-1 3.388442-1 8.824862-2 3.935501-1 6.001352-2 4.466836-1 4.360716-2 5.069907-1 3.191940-2 5.688529-1 2.420986-2 6.382635-1 1.849872-2 7.161434-1 1.424537-2 8.035261-1 1.105651-2 8.912509-1 8.855414-3 9.772372-1 7.320327-3 1.109175+0 5.691125-3 1.258925+0 4.456043-3 1.412538+0 3.594705-3 1.584893+0 2.919656-3 1.798871+0 2.340527-3 2.044000+0 1.887400-3 2.317395+0 1.539215-3 2.630268+0 1.261916-3 3.019952+0 1.023515-3 3.507519+0 8.218572-4 4.073803+0 6.649137-4 4.786301+0 5.333514-4 5.688529+0 4.246083-4 6.839116+0 3.355443-4 8.317638+0 2.633413-4 1.023293+1 2.053260-4 1.288250+1 1.569613-4 1.659587+1 1.177654-4 2.238721+1 8.461872-5 3.000000+1 6.169100-5 4.365158+1 4.147937-5 6.918310+1 2.570080-5 1.216186+2 1.442709-5 2.426610+2 7.167501-6 4.841724+2 3.575090-6 1.927525+3 8.949397-7 1.000000+5 1.723100-8 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 3.135800-4 7.444100-5 1.000000+5 7.444100-5 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.135800-4 1.513900-8 1.000000+5 1.513900-8 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.135800-4 2.391239-4 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 2.527600-4 9.798727+4 2.951209-4 9.504346+4 3.600000-4 9.113840+4 3.981072-4 8.841353+4 4.265795-4 8.603715+4 4.600000-4 8.293160+4 4.897788-4 7.989984+4 5.308844-4 7.557692+4 5.754399-4 7.101216+4 6.200000-4 6.657340+4 6.760830-4 6.126169+4 7.413102-4 5.567505+4 8.035261-4 5.086661+4 8.912509-4 4.491064+4 9.772372-4 3.994196+4 1.083927-3 3.471910+4 1.202264-3 2.996786+4 1.333521-3 2.567557+4 1.479108-3 2.185713+4 1.659587-3 1.813497+4 1.862087-3 1.493619+4 2.089296-3 1.221364+4 2.344229-3 9.917670+3 2.650000-3 7.888060+3 3.000000-3 6.210360+3 3.427678-3 4.764326+3 3.900000-3 3.656400+3 4.415704-3 2.813740+3 5.011872-3 2.138309+3 5.688529-3 1.612741+3 6.382635-3 1.239700+3 7.244360-3 9.215230+2 8.222426-3 6.797553+2 9.332543-3 4.976245+2 1.059254-2 3.616441+2 1.202264-2 2.609975+2 1.380384-2 1.814531+2 1.584893-2 1.251665+2 1.819701-2 8.568585+1 2.089296-2 5.822601+1 2.426610-2 3.800448+1 2.818383-2 2.461375+1 3.273407-2 1.582361+1 3.845918-2 9.759082+0 4.570882-2 5.771120+0 5.432503-2 3.388801+0 6.760830-2 1.712439+0 9.332543-2 6.202589-1 1.428894-1 1.614436-1 1.778279-1 8.141892-2 2.137962-1 4.607205-2 2.483133-1 2.919608-2 2.851018-1 1.929234-2 3.235937-1 1.328515-2 3.672823-1 9.215173-3 4.120975-1 6.654320-3 4.623810-1 4.840025-3 5.188000-1 3.547699-3 5.754399-1 2.701437-3 6.382635-1 2.071931-3 7.079458-1 1.601041-3 7.852356-1 1.246519-3 8.709636-1 9.743649-4 9.332543-1 8.321939-4 9.885531-1 7.339647-4 1.071519+0 6.212343-4 1.161449+0 5.293221-4 1.273503+0 4.440704-4 1.412538+0 3.675415-4 1.698244+0 2.651645-4 1.927525+0 2.133686-4 2.187762+0 1.731324-4 2.483133+0 1.415022-4 2.851018+0 1.144006-4 3.311311+0 9.158628-5 3.845918+0 7.388660-5 4.518559+0 5.910197-5 5.308844+0 4.763915-5 6.382635+0 3.754003-5 7.673615+0 2.980176-5 9.440609+0 2.316630-5 1.174898+1 1.789998-5 1.479108+1 1.374434-5 1.927525+1 1.022376-5 2.630268+1 7.281966-6 3.845918+1 4.857783-6 6.000000+1 3.052400-6 1.023293+2 1.763548-6 2.041738+2 8.746468-7 4.073803+2 4.359587-7 1.621810+3 1.090539-7 1.000000+5 1.766400-9 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 2.527600-4 6.004300-5 1.000000+5 6.004300-5 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.527600-4 1.739000-8 1.000000+5 1.739000-8 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.527600-4 1.926996-4 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 2.297200-4 3.315992+5 2.800000-4 3.047820+5 2.917427-4 3.003383+5 3.273407-4 2.839287+5 3.600000-4 2.687544+5 3.935501-4 2.531393+5 4.265795-4 2.380725+5 4.623810-4 2.220829+5 5.069907-4 2.034673+5 5.500000-4 1.872000+5 6.000000-4 1.699932+5 6.683439-4 1.495254+5 7.328245-4 1.331119+5 8.200000-4 1.144804+5 9.120108-4 9.851189+4 1.023293-3 8.302748+4 1.135011-3 7.069804+4 1.273503-3 5.870679+4 1.428894-3 4.838503+4 1.603245-3 3.959682+4 1.819701-3 3.151495+4 2.070000-3 2.477484+4 2.344229-3 1.948945+4 2.650000-3 1.527540+4 2.985383-3 1.197474+4 3.349654-3 9.407713+3 3.800000-3 7.172080+3 4.300000-3 5.459360+3 4.841724-3 4.174023+3 5.500000-3 3.105568+3 6.237348-3 2.302356+3 7.079458-3 1.690239+3 8.035261-3 1.231249+3 9.120108-3 8.903465+2 1.035142-2 6.388867+2 1.174898-2 4.551600+2 1.333521-2 3.220213+2 1.513561-2 2.262592+2 1.737801-2 1.527794+2 2.000000-2 1.016511+2 2.290868-2 6.804627+1 2.630268-2 4.490705+1 3.054921-2 2.840453+1 3.548134-2 1.782534+1 4.168694-2 1.070922+1 4.954502-2 6.154881+0 5.956621-2 3.378862+0 7.413102-2 1.643882+0 1.011580-1 5.848834-1 1.445440-1 1.774848-1 1.757924-1 9.288030-2 2.089296-1 5.283379-2 2.398833-1 3.386270-2 2.722701-1 2.267901-2 3.054921-1 1.585953-2 3.427678-1 1.117307-2 3.801894-1 8.208253-3 4.216965-1 6.073445-3 4.677351-1 4.528364-3 5.128614-1 3.511980-3 5.623413-1 2.742036-3 6.165950-1 2.155999-3 6.760830-1 1.707827-3 7.413102-1 1.362396-3 8.511380-1 9.808434-4 9.120108-1 8.371027-4 9.772372-1 7.193807-4 1.047129+0 6.230306-4 1.148154+0 5.182547-4 1.258925+0 4.343110-4 1.396368+0 3.590231-4 1.678804+0 2.587626-4 1.905461+0 2.080799-4 2.137962+0 1.719145-4 2.426610+0 1.403282-4 2.786121+0 1.133037-4 3.235937+0 9.059893-5 3.758374+0 7.300957-5 4.415704+0 5.833468-5 5.188000+0 4.697048-5 6.237348+0 3.697703-5 7.498942+0 2.932854-5 9.225714+0 2.277767-5 1.148154+1 1.758676-5 1.445440+1 1.349394-5 1.840772+1 1.029079-5 2.483133+1 7.412482-6 3.507519+1 5.121847-6 5.248075+1 3.355323-6 8.413951+1 2.060709-6 1.621810+2 1.056164-6 3.235937+2 5.258251-7 6.456542+2 2.625472-7 5.128614+3 3.295705-8 1.000000+5 1.689600-9 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 2.297200-4 5.162800-5 1.000000+5 5.162800-5 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.297200-4 9.942800-9 1.000000+5 9.942800-9 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.297200-4 1.780821-4 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.286800-4 4.519120+5 1.310000-4 6.000280+5 1.318257-4 6.586830+5 1.325000-4 7.066880+5 1.332000-4 7.550400+5 1.338000-4 7.942800+5 1.344000-4 8.308280+5 1.350000-4 8.640040+5 1.357000-4 8.977920+5 1.363000-4 9.221400+5 1.370000-4 9.448600+5 1.377000-4 9.612920+5 1.385000-4 9.727280+5 1.390000-4 9.759880+5 1.398000-4 9.757600+5 1.408000-4 9.671920+5 1.416000-4 9.548200+5 1.428000-4 9.292720+5 1.439000-4 9.005880+5 1.450000-4 8.687160+5 1.465800-4 8.199605+5 1.485000-4 7.595200+5 1.510000-4 6.830200+5 1.540000-4 5.979080+5 1.570000-4 5.216120+5 1.678804-4 3.188066+5 1.713000-4 2.766644+5 1.740000-4 2.494748+5 1.765800-4 2.279196+5 1.790000-4 2.111792+5 1.810000-4 1.996032+5 1.828000-4 1.907484+5 1.850000-4 1.817396+5 1.873000-4 1.742340+5 1.895000-4 1.686640+5 1.915000-4 1.648116+5 1.937000-4 1.617579+5 1.957000-4 1.599396+5 1.980000-4 1.588456+5 2.000000-4 1.586612+5 2.030000-4 1.595388+5 2.060000-4 1.615896+5 2.090000-4 1.646044+5 2.120000-4 1.684008+5 2.170000-4 1.760592+5 2.238721-4 1.883992+5 2.400000-4 2.207684+5 2.500000-4 2.407544+5 2.580000-4 2.557736+5 2.660725-4 2.697176+5 2.754229-4 2.841355+5 2.851018-4 2.970363+5 2.951209-4 3.082833+5 3.054921-4 3.178176+5 3.162278-4 3.255902+5 3.280000-4 3.318776+5 3.390000-4 3.358528+5 3.507519-4 3.383174+5 3.650000-4 3.391964+5 3.801894-4 3.380274+5 3.981072-4 3.344221+5 4.168694-4 3.287101+5 4.365158-4 3.210382+5 4.600000-4 3.103792+5 4.850000-4 2.979800+5 5.150000-4 2.823456+5 5.432503-4 2.673895+5 5.800000-4 2.483048+5 6.200000-4 2.285020+5 6.606934-4 2.096358+5 7.079458-4 1.895970+5 7.585776-4 1.703162+5 8.200000-4 1.497584+5 8.810489-4 1.321376+5 9.549926-4 1.139664+5 1.035142-3 9.760282+4 1.122018-3 8.299850+4 1.216186-3 7.013737+4 1.333521-3 5.741310+4 1.450000-3 4.754640+4 1.603245-3 3.762739+4 1.778279-3 2.930474+4 1.950000-3 2.329680+4 2.137962-3 1.841661+4 2.350000-3 1.437588+4 2.630268-3 1.061514+4 2.917427-3 7.972446+3 3.235937-3 5.945807+3 3.600000-3 4.365440+3 4.000000-3 3.194296+3 4.466836-3 2.285774+3 5.011872-3 1.600289+3 5.623413-3 1.111048+3 6.309573-3 7.653616+2 7.079458-3 5.232363+2 7.943282-3 3.550746+2 8.912509-3 2.392045+2 1.011579-2 1.537596+2 1.148154-2 9.806516+1 1.303167-2 6.207843+1 1.479108-2 3.901982+1 1.698244-2 2.333397+1 1.949845-2 1.384896+1 2.238721-2 8.159712+0 2.600160-2 4.566566+0 3.054921-2 2.425784+0 3.672823-2 1.167692+0 4.570882-2 4.858973-1 9.015711-2 3.118615-2 1.122019-1 1.296034-2 1.333521-1 6.523602-3 1.548817-1 3.622188-3 1.778279-1 2.118325-3 2.041738-1 1.247888-3 2.317395-1 7.736714-4 2.600160-1 5.044347-4 2.917427-1 3.313218-4 3.235937-1 2.285931-4 3.589219-1 1.588280-4 3.981072-1 1.111615-4 4.415705-1 7.838384-5 4.841724-1 5.785798-5 5.308844-1 4.301192-5 5.821032-1 3.220642-5 6.382635-1 2.428516-5 6.998420-1 1.844550-5 7.673615-1 1.411757-5 8.609938-1 1.014924-5 9.120108-1 8.661057-6 9.549926-1 7.676317-6 1.000000+0 6.848800-6 1.047129+0 6.156944-6 1.096478+0 5.574934-6 1.148154+0 5.078926-6 1.216186+0 4.552127-6 1.318257+0 3.936642-6 1.513561+0 3.108369-6 1.819701+0 2.251230-6 2.018366+0 1.888828-6 2.290868+0 1.536830-6 2.630268+0 1.236944-6 3.019952+0 1.003118-6 3.507519+0 8.054737-7 4.073803+0 6.516561-7 4.786301+0 5.227172-7 5.688529+0 4.161439-7 6.839116+0 3.288620-7 8.317638+0 2.580892-7 1.023293+1 2.012293-7 1.303167+1 1.518050-7 1.678804+1 1.139514-7 2.238721+1 8.293228-8 3.000000+1 6.046100-8 4.365158+1 4.065186-8 6.918310+1 2.518840-8 1.230269+2 1.397448-8 2.454709+2 6.943565-9 4.897788+2 3.463523-9 3.890451+3 4.34315-10 1.000000+5 1.68880-11 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.286800-4 3.367900-5 1.000000+5 3.367900-5 1 60000 7 7 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.286800-4 1.355900-8 1.000000+5 1.355900-8 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.286800-4 9.498744-5 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.246200-4 6.696120+5 1.260000-4 8.112960+5 1.267000-4 8.888400+5 1.273503-4 9.621432+5 1.280000-4 1.034790+6 1.286000-4 1.100322+6 1.293000-4 1.173330+6 1.299000-4 1.231632+6 1.305500-4 1.289066+6 1.312000-4 1.339542+6 1.318257-4 1.380814+6 1.325000-4 1.416738+6 1.332000-4 1.444428+6 1.338000-4 1.460502+6 1.344000-4 1.469790+6 1.352000-4 1.472412+6 1.359000-4 1.466484+6 1.367000-4 1.451664+6 1.375000-4 1.429698+6 1.385000-4 1.394418+6 1.396368-4 1.346737+6 1.410900-4 1.278659+6 1.428894-4 1.189645+6 1.447000-4 1.100022+6 1.470000-4 9.908820+5 1.500000-4 8.604720+5 1.540000-4 7.100340+5 1.621810-4 4.822852+5 1.650000-4 4.260270+5 1.680000-4 3.768432+5 1.705000-4 3.433272+5 1.720000-4 3.261342+5 1.740000-4 3.062850+5 1.760000-4 2.896242+5 1.780000-4 2.758176+5 1.800000-4 2.645802+5 1.820000-4 2.556396+5 1.842000-4 2.481588+5 1.862087-4 2.432428+5 1.885000-4 2.396040+5 1.908000-4 2.378076+5 1.930000-4 2.376090+5 1.957000-4 2.391168+5 1.980000-4 2.417070+5 2.010000-4 2.465952+5 2.041738-4 2.532854+5 2.089296-4 2.655211+5 2.162719-4 2.877775+5 2.300000-4 3.337554+5 2.380000-4 3.605322+5 2.454709-4 3.844809+5 2.540973-4 4.101610+5 2.620000-4 4.314084+5 2.691535-4 4.485842+5 2.786121-4 4.682665+5 2.888500-4 4.859025+5 3.000000-4 5.012082+5 3.100000-4 5.118330+5 3.200000-4 5.197728+5 3.320000-4 5.260326+5 3.430000-4 5.289534+5 3.589219-4 5.291981+5 3.758374-4 5.254894+5 3.935501-4 5.183547+5 4.150000-4 5.061930+5 4.365158-4 4.912165+5 4.600000-4 4.727568+5 4.850000-4 4.519494+5 5.150000-4 4.264986+5 5.432503-4 4.025349+5 5.800000-4 3.722010+5 6.200000-4 3.412356+5 6.606934-4 3.120602+5 7.079458-4 2.811702+5 7.585776-4 2.517884+5 8.128305-4 2.240304+5 8.810489-4 1.940433+5 9.549926-4 1.668433+5 1.035142-3 1.424035+5 1.122018-3 1.207536+5 1.230269-3 9.920912+4 1.333521-3 8.299904+4 1.462177-3 6.722210+4 1.610000-3 5.349480+4 1.757924-3 4.315768+4 1.950000-3 3.324846+4 2.187762-3 2.466228+4 2.454709-3 1.811970+4 2.754229-3 1.319427+4 3.054921-3 9.843217+3 3.400000-3 7.219980+3 3.801894-3 5.184009+3 4.216965-3 3.786265+3 4.677351-3 2.746342+3 5.248075-3 1.907484+3 5.888437-3 1.314432+3 6.606934-3 8.985777+2 7.413102-3 6.095407+2 8.317638-3 4.104593+2 9.332543-3 2.744389+2 1.059254-2 1.748224+2 1.202264-2 1.105228+2 1.364583-2 6.935387+1 1.548817-2 4.320400+1 1.757924-2 2.672359+1 2.018366-2 1.570394+1 2.317395-2 9.157240+0 2.691535-2 5.066203+0 3.162278-2 2.657157+0 3.758374-2 1.320627+0 4.570882-2 5.932765-1 5.888437-2 2.088050-1 8.912509-2 3.752037-2 1.096478-1 1.601377-2 1.288250-1 8.315541-3 1.479108-1 4.773350-3 1.678804-1 2.888481-3 1.905461-1 1.760896-3 2.137962-1 1.130869-3 2.371374-1 7.642499-4 2.630268-1 5.203678-4 2.884032-1 3.723916-4 3.126079-1 2.795503-4 3.427678-1 2.029094-4 3.758374-1 1.484209-4 4.120975-1 1.094063-4 4.518559-1 8.127499-5 4.954502-1 6.085334-5 5.370318-1 4.752410-5 5.821032-1 3.736706-5 6.165950-1 3.164270-5 6.683439-1 2.527805-5 7.244360-1 2.034206-5 8.609938-1 1.293766-5 9.120108-1 1.118338-5 9.660509-1 9.735432-6 1.011579+0 8.767771-6 1.071519+0 7.748235-6 1.135011+0 6.891171-6 1.216186+0 6.029594-6 1.318257+0 5.199305-6 1.798871+0 3.015139-6 2.018366+0 2.480728-6 2.290868+0 2.018076-6 2.600160+0 1.653453-6 3.000000+0 1.330500-6 3.467369+0 1.075552-6 4.027170+0 8.696876-7 4.731513+0 6.972262-7 5.559043+0 5.631597-7 6.683439+0 4.446273-7 8.128305+0 3.486249-7 9.885531+0 2.753389-7 1.230269+1 2.130660-7 1.566751+1 1.617088-7 2.113489+1 1.159908-7 2.851018+1 8.385228-8 4.168694+1 5.603303-8 6.606934+1 3.469060-8 1.161449+2 1.946133-8 2.317395+2 9.664487-9 4.623810+2 4.819562-9 1.840772+3 1.206226-9 1.000000+5 2.21790-11 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.246200-4 3.190000-5 1.000000+5 3.190000-5 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.246200-4 9.272000-5 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 8.320000-6 1.293564+5 8.511380-6 1.285160+5 8.850000-6 1.281063+5 9.120108-6 1.285930+5 9.440609-6 1.300498+5 9.772372-6 1.325649+5 1.011579-5 1.360999+5 1.050000-5 1.411582+5 1.085000-5 1.467014+5 1.122018-5 1.534426+5 1.165000-5 1.623508+5 1.216186-5 1.743883+5 1.273503-5 1.895497+5 1.350000-5 2.123028+5 1.445440-5 2.443762+5 1.584893-5 2.979747+5 1.972423-5 4.819370+5 2.162719-5 5.860091+5 2.317395-5 6.747593+5 2.454709-5 7.544050+5 2.600160-5 8.384076+5 2.754229-5 9.253372+5 2.917427-5 1.013740+6 3.080000-5 1.096782+6 3.235937-5 1.170989+6 3.427678-5 1.254794+6 3.650000-5 1.342279+6 3.890451-5 1.425926+6 4.168694-5 1.510029+6 4.466836-5 1.587429+6 4.786301-5 1.656119+6 5.128614-5 1.714143+6 5.432503-5 1.752330+6 5.754399-5 1.778514+6 6.095369-5 1.792480+6 6.456542-5 1.793217+6 6.839116-5 1.781131+6 7.300000-5 1.755484+6 7.852356-5 1.713169+6 8.500000-5 1.657101+6 9.300000-5 1.581522+6 9.900000-5 1.521588+6 1.060000-4 1.449729+6 1.122018-4 1.384378+6 1.202264-4 1.301216+6 1.303167-4 1.200213+6 1.396368-4 1.113187+6 1.513561-4 1.011611+6 1.621810-4 9.243989+5 1.720000-4 8.513130+5 1.862087-4 7.553987+5 2.018366-4 6.630010+5 2.162719-4 5.885181+5 2.290868-4 5.301287+5 2.454709-4 4.643579+5 2.630268-4 4.039458+5 2.818383-4 3.490858+5 3.019952-4 2.997386+5 3.235937-4 2.557265+5 3.507519-4 2.108721+5 3.801894-4 1.725391+5 4.120975-4 1.401450+5 4.466836-4 1.130492+5 4.841724-4 9.059172+4 5.308844-4 6.980048+4 5.821032-4 5.337309+4 6.382635-4 4.052867+4 7.000000-4 3.054728+4 7.673615-4 2.290392+4 8.511380-4 1.642774+4 9.440609-4 1.169278+4 1.059254-3 7.947678+3 1.174898-3 5.575999+3 1.318257-3 3.732517+3 1.479108-3 2.479002+3 1.659587-3 1.634034+3 1.862087-3 1.068928+3 2.089296-3 6.939979+2 2.344229-3 4.472218+2 2.630268-3 2.860906+2 2.951209-3 1.816978+2 3.273407-3 1.200402+2 3.672823-3 7.497899+1 4.265795-3 4.031057+1 4.786301-3 2.484118+1 5.308844-3 1.596123+1 5.956621-3 9.691831+0 6.760830-3 5.554983+0 7.673615-3 3.160386+0 8.810489-3 1.695300+0 1.047129-2 7.712620-1 1.216186-2 3.872720-1 1.396368-2 2.036398-1 1.566751-2 1.184954-1 1.819701-2 5.814611-2 2.089296-2 2.993743-2 2.483133-2 1.294692-2 3.019952-2 4.965498-3 6.309573-2 1.309220-4 7.943282-2 4.229661-5 9.332543-2 1.928013-5 1.071519-1 9.900013-6 1.216186-1 5.411654-6 1.380384-1 2.980285-6 1.548817-1 1.745455-6 1.737801-1 1.030102-6 1.949845-1 6.125871-7 2.187762-1 3.669064-7 2.426610-1 2.330521-7 2.660725-1 1.567753-7 2.917427-1 1.062411-7 3.162278-1 7.607835-8 3.467369-1 5.233370-8 3.801894-1 3.626893-8 4.265795-1 2.313791-8 4.677351-1 1.627414-8 5.069907-1 1.204089-8 5.495409-1 8.967714-9 5.956621-1 6.729985-9 6.382635-1 5.309775-9 6.918310-1 4.059272-9 7.585776-1 3.011651-9 8.035261-1 2.505409-9 8.511380-1 2.064598-9 8.912509-1 1.778729-9 9.225714-1 1.598156-9 9.549926-1 1.443146-9 9.885531-1 1.310881-9 1.023293+0 1.198813-9 1.059254+0 1.103321-9 1.096478+0 1.021166-9 1.135011+0 9.49842-10 1.188502+0 8.68153-10 1.258925+0 7.82281-10 1.348963+0 6.95333-10 1.500000+0 5.86250-10 1.883649+0 3.94041-10 2.065380+0 3.37556-10 2.344229+0 2.74997-10 2.691535+0 2.21627-10 3.126079+0 1.76899-10 3.630781+0 1.42301-10 4.216965+0 1.15317-10 4.954502+0 9.26504-11 5.888437+0 7.38764-11 7.079458+0 5.84611-11 8.609938+0 4.59394-11 1.071519+1 3.53795-11 1.364583+1 2.67337-11 1.737801+1 2.03545-11 2.317395+1 1.48265-11 3.126079+1 1.07415-11 4.518559+1 7.27849-12 7.161434+1 4.51252-12 1.273503+2 2.50474-12 2.540973+2 1.24489-12 5.069907+2 6.21025-13 4.027170+3 7.78876-14 1.000000+5 3.13500-15 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 8.320000-6 8.320000-6 1.000000+5 8.320000-6 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 8.320000-6 0.0 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 7.850000-6 1.841263+5 8.100000-6 1.823853+5 8.413951-6 1.819025+5 8.709636-6 1.828549+5 9.015711-6 1.852248+5 9.332543-6 1.890212+5 9.660509-6 1.942725+5 1.000000-5 2.010060+5 1.035142-5 2.092852+5 1.071519-5 2.191360+5 1.122018-5 2.347614+5 1.180000-5 2.552452+5 1.244515-5 2.809539+5 1.318257-5 3.137463+5 1.428894-5 3.690811+5 1.927525-5 6.908538+5 2.113489-5 8.324852+5 2.290868-5 9.728870+5 2.454709-5 1.103547+6 2.600160-5 1.218013+6 2.754229-5 1.334927+6 2.917427-5 1.452351+6 3.090295-5 1.568708+6 3.273407-5 1.681530+6 3.467369-5 1.789129+6 3.672823-5 1.891554+6 3.900000-5 1.991994+6 4.168694-5 2.094609+6 4.500000-5 2.201756+6 4.800000-5 2.280236+6 5.150000-5 2.350647+6 5.432503-5 2.391425+6 5.754399-5 2.419212+6 6.095369-5 2.430826+6 6.456542-5 2.424907+6 6.918310-5 2.396268+6 7.328245-5 2.358567+6 8.000000-5 2.280887+6 8.609938-5 2.202955+6 9.332543-5 2.106519+6 1.000000-4 2.012634+6 1.071519-4 1.911044+6 1.161449-4 1.781672+6 1.244515-4 1.665732+6 1.348963-4 1.529245+6 1.462177-4 1.392323+6 1.566751-4 1.275091+6 1.659587-4 1.178960+6 1.800000-4 1.045920+6 1.950000-4 9.208737+5 2.065380-4 8.359269+5 2.213095-4 7.397812+5 2.398833-4 6.354142+5 2.570396-4 5.535959+5 2.754229-4 4.789544+5 2.951209-4 4.116241+5 3.162278-4 3.515663+5 3.427678-4 2.902691+5 3.715352-4 2.377879+5 4.027170-4 1.933526+5 4.365158-4 1.561205+5 4.731513-4 1.252243+5 5.188000-4 9.659862+4 5.688529-4 7.395433+4 6.237348-4 5.619545+4 6.839116-4 4.239848+4 7.585776-4 3.064598+4 8.413951-4 2.197859+4 9.440609-4 1.507860+4 1.047129-3 1.066471+4 1.161449-3 7.486193+3 1.244515-3 5.882794+3 1.380384-3 4.067715+3 1.548817-3 2.679451+3 1.883649-3 1.305439+3 2.113489-3 8.490727+2 2.344229-3 5.724293+2 2.570396-3 3.997379+2 2.851018-3 2.649382+2 3.198895-3 1.664361+2 3.589219-3 1.038898+2 4.027170-3 6.439812+1 4.518559-3 3.964380+1 5.069907-3 2.423968+1 5.754399-3 1.399963+1 6.531306-3 8.024094+0 7.413102-3 4.565421+0 8.511380-3 2.447938+0 9.772372-3 1.302658+0 1.161449-2 5.867360-1 1.348963-2 2.919080-1 1.548817-2 1.521390-1 1.737801-2 8.786440-2 2.018366-2 4.262670-2 2.371374-2 1.940337-2 2.951209-2 6.605393-3 3.801894-2 1.879874-3 7.328245-2 7.156238-5 8.709636-2 3.048572-5 1.011580-1 1.465551-5 1.148154-1 7.936487-6 1.288250-1 4.574103-6 1.428894-1 2.803232-6 1.584893-1 1.729248-6 1.757924-1 1.074200-6 1.949845-1 6.721685-7 2.137962-1 4.461226-7 2.344229-1 2.981783-7 2.570396-1 2.007834-7 2.786121-1 1.430027-7 3.019952-1 1.025340-7 3.273407-1 7.404648-8 3.548134-1 5.387550-8 3.801894-1 4.128185-8 4.120975-1 3.050551-8 4.466836-1 2.272062-8 4.897788-1 1.636391-8 5.248075-1 1.287046-8 5.623413-1 1.018817-8 6.025596-1 8.123096-9 6.456542-1 6.538455-9 6.918310-1 5.298665-9 7.585776-1 4.038064-9 8.222427-1 3.200611-9 8.810489-1 2.640309-9 9.440609-1 2.193725-9 1.000000+0 1.891300-9 1.035142+0 1.741833-9 1.083927+0 1.571736-9 1.135011+0 1.428218-9 1.202264+0 1.277504-9 1.288250+0 1.127200-9 1.396368+0 9.81706-10 1.513561+0 8.58457-10 1.862087+0 5.97694-10 2.065380+0 5.02135-10 2.344229+0 4.09070-10 2.691535+0 3.29678-10 3.126079+0 2.63142-10 3.630781+0 2.11674-10 4.216965+0 1.71535-10 4.954502+0 1.37820-10 5.888437+0 1.09894-10 7.079458+0 8.69646-11 8.609938+0 6.83381-11 1.071519+1 5.26298-11 1.364583+1 3.97680-11 1.757924+1 2.98936-11 2.344229+1 2.17807-11 3.198895+1 1.55908-11 4.677351+1 1.04433-11 7.413102+1 6.47821-12 1.333521+2 3.55558-12 2.660725+2 1.76786-12 5.308844+2 8.82059-13 4.216965+3 1.10645-13 1.000000+5 4.66350-15 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 7.850000-6 7.850000-6 1.000000+5 7.850000-6 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 7.850000-6 0.0 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 4.480000-5 5.696820+4 4.590000-5 5.988400+4 5.011872-5 7.279185+4 5.248075-5 8.009969+4 5.450000-5 8.610020+4 5.650000-5 9.169220+4 5.850000-5 9.686520+4 6.095369-5 1.025916+5 6.309573-5 1.070129+5 6.531306-5 1.110141+5 6.800000-5 1.150820+5 7.079458-5 1.184331+5 7.328245-5 1.206956+5 7.650000-5 1.226980+5 8.000000-5 1.238452+5 8.400000-5 1.240898+5 8.810489-5 1.234413+5 9.332543-5 1.216969+5 9.900000-5 1.190630+5 1.060000-4 1.152496+5 1.135011-4 1.108377+5 1.220000-4 1.056494+5 1.312600-4 9.991819+4 1.412538-4 9.381586+4 1.531087-4 8.692456+4 1.698244-4 7.816470+4 1.905461-4 6.892446+4 2.113489-4 6.109810+4 2.400000-4 5.225060+4 2.800000-4 4.287380+4 3.235937-4 3.532433+4 3.845918-4 2.781488+4 4.570882-4 2.172748+4 5.432503-4 1.685918+4 6.606934-4 1.254317+4 8.035261-4 9.253292+3 9.700000-4 6.848220+3 1.161449-3 5.095074+3 1.396368-3 3.736111+3 1.698244-3 2.664765+3 2.065380-3 1.886125+3 2.540973-3 1.298395+3 3.198895-3 8.492416+2 3.935501-3 5.756458+2 4.841724-3 3.872524+2 5.956621-3 2.584828+2 7.244360-3 1.751956+2 8.810489-3 1.178282+2 1.059254-2 8.050411+1 1.273503-2 5.457965+1 1.531087-2 3.671625+1 1.840772-2 2.450211+1 2.264644-2 1.541516+1 2.691535-2 1.040044+1 3.090295-2 7.545606+0 3.630781-2 5.145724+0 4.265795-2 3.483127+0 5.069907-2 2.275073+0 6.025596-2 1.474670+0 7.244360-2 9.214741-1 8.511380-2 6.067086-1 1.047129-1 3.516008-1 1.364583-1 1.735925-1 2.371374-1 3.920361-2 2.917427-1 2.258953-2 3.427678-1 1.480543-2 3.935501-1 1.037478-2 4.466836-1 7.538699-3 5.069907-1 5.518264-3 5.688529-1 4.185558-3 6.382635-1 3.198268-3 7.161434-1 2.462964-3 8.035261-1 1.911699-3 8.912509-1 1.531290-3 9.772372-1 1.265867-3 1.109175+0 9.840876-4 1.258925+0 7.705780-4 1.412538+0 6.216220-4 1.584893+0 5.048633-4 1.798871+0 4.046987-4 2.044000+0 3.263800-4 2.317395+0 2.661940-4 2.660725+0 2.143952-4 3.054921+0 1.739777-4 3.548134+0 1.397844-4 4.120975+0 1.131540-4 4.841724+0 9.081471-5 5.754399+0 7.233645-5 6.918310+0 5.719092-5 8.413951+0 4.490251-5 1.035142+1 3.502470-5 1.318257+1 2.643331-5 1.698244+1 1.984802-5 2.264644+1 1.444984-5 3.019952+1 1.059276-5 4.415704+1 7.086659-6 6.998420+1 4.391804-6 1.244515+2 2.437013-6 2.483133+2 1.210987-6 4.954502+2 6.040720-7 3.935501+3 7.575263-8 1.000000+5 2.979700-9 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 4.480000-5 4.480000-5 1.000000+5 4.480000-5 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.480000-5 0.0 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.812000-5 6.855500+6 3.630781-5 2.750759+6 4.027170-5 1.883662+6 5.069907-5 8.012937+5 5.559043-5 5.732621+5 6.000000-5 4.374740+5 6.456542-5 3.399487+5 6.900000-5 2.725440+5 7.328245-5 2.248026+5 7.673615-5 1.951779+5 8.035261-5 1.704470+5 8.413951-5 1.497974+5 8.810489-5 1.325570+5 9.225714-5 1.181303+5 9.660509-5 1.060266+5 1.011579-4 9.582947+4 1.060000-4 8.707060+4 1.109175-4 7.983414+4 1.170000-4 7.261980+4 1.230269-4 6.689653+4 1.303167-4 6.136673+4 1.380384-4 5.671551+4 1.462177-4 5.275778+4 1.566751-4 4.871001+4 1.720000-4 4.410040+4 1.927525-4 3.939073+4 2.985383-4 2.607290+4 3.507519-4 2.220081+4 4.027170-4 1.920858+4 4.623810-4 1.648975+4 5.248075-4 1.424103+4 6.000000-4 1.210114+4 6.760830-4 1.039701+4 7.673615-4 8.788187+3 8.709636-4 7.373190+3 9.885531-4 6.138174+3 1.122018-3 5.070873+3 1.273503-3 4.156644+3 1.445440-3 3.381342+3 1.640590-3 2.730063+3 1.862087-3 2.188123+3 2.113489-3 1.741384+3 2.398833-3 1.376293+3 2.722701-3 1.080198+3 3.090295-3 8.419692+2 3.507519-3 6.517942+2 4.000000-3 4.960960+2 4.570882-3 3.731260+2 5.188000-3 2.826640+2 5.888437-3 2.126017+2 6.683439-3 1.587183+2 7.585776-3 1.176130+2 8.609938-3 8.651414+1 9.772372-3 6.318214+1 1.109175-2 4.581857+1 1.258925-2 3.299730+1 1.513561-2 2.026434+1 1.717908-2 1.436670+1 1.972423-2 9.794917+0 2.264644-2 6.631006+0 2.630268-2 4.312310+0 3.054921-2 2.783335+0 3.589219-2 1.723045+0 4.265795-2 1.022554+0 5.128614-2 5.814369-1 6.309573-2 3.053864-1 8.317638-2 1.282413-1 1.445440-1 2.239350-2 1.798871-1 1.129841-2 2.162719-1 6.396729-3 2.511886-1 4.056125-3 2.884032-1 2.681963-3 3.273407-1 1.848098-3 3.715352-1 1.282816-3 4.168694-1 9.269055-4 4.677351-1 6.745930-4 5.188000-1 5.102071-4 5.754399-1 3.884925-4 6.382635-1 2.979575-4 7.079458-1 2.302327-4 7.852356-1 1.792408-4 8.709636-1 1.400854-4 9.332543-1 1.196323-4 9.885531-1 1.055034-4 1.071519+0 8.929243-5 1.161449+0 7.607699-5 1.273503+0 6.382110-5 1.412538+0 5.282375-5 1.698244+0 3.811236-5 1.927525+0 3.066734-5 2.187762+0 2.488205-5 2.483133+0 2.033572-5 2.851018+0 1.644133-5 3.311311+0 1.316320-5 3.845918+0 1.061977-5 4.518559+0 8.494660-6 5.308844+0 6.846963-6 6.382635+0 5.395473-6 7.673615+0 4.283201-6 9.332543+0 3.375739-6 1.161449+1 2.607430-6 1.462177+1 2.001344-6 1.883649+1 1.507284-6 2.570396+1 1.072899-6 3.758374+1 7.153701-7 5.754399+1 4.581432-7 9.549926+1 2.719920-7 1.905461+2 1.348024-7 3.801894+2 6.716914-8 1.513561+3 1.679595-8 1.000000+5 2.53880-10 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.812000-5 2.812000-5 1.000000+5 2.812000-5 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.812000-5 0.0 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.488000-5 1.446848+7 2.722701-5 1.020910+7 2.985383-5 7.216942+6 4.073803-5 2.268116+6 4.415704-5 1.689742+6 4.731513-5 1.321847+6 5.011872-5 1.084207+6 5.308844-5 8.954936+5 5.623413-5 7.454396+5 5.900000-5 6.439640+5 6.165950-5 5.663021+5 6.456542-5 4.984119+5 6.760830-5 4.417999+5 7.079458-5 3.945619+5 7.413102-5 3.550875+5 7.762471-5 3.220494+5 8.128305-5 2.942723+5 8.511380-5 2.707963+5 8.912509-5 2.507993+5 9.440609-5 2.296521+5 1.000000-4 2.118140+5 1.071519-4 1.937295+5 1.161449-4 1.760541+5 1.273503-4 1.591312+5 1.445440-4 1.397776+5 1.972423-4 1.026521+5 2.344229-4 8.588733+4 2.722701-4 7.311370+4 3.126079-4 6.259020+4 3.589219-4 5.321087+4 4.120975-4 4.492501+4 4.786301-4 3.708814+4 5.432503-4 3.132612+4 6.237348-4 2.586271+4 7.079458-4 2.155223+4 8.128305-4 1.753375+4 9.225714-4 1.440296+4 1.047129-3 1.175123+4 1.188502-3 9.518882+3 1.348963-3 7.655850+3 1.531087-3 6.113976+3 1.737801-3 4.848323+3 1.972423-3 3.818218+3 2.264644-3 2.919953+3 2.570396-3 2.267431+3 2.917427-3 1.748887+3 3.349654-3 1.307485+3 3.801894-3 9.943557+2 4.315191-3 7.510063+2 4.897788-3 5.632132+2 5.559043-3 4.193049+2 6.309573-3 3.098939+2 7.161434-3 2.273628+2 8.128305-3 1.655709+2 9.225714-3 1.196370+2 1.047129-2 8.583331+1 1.188502-2 6.113013+1 1.348963-2 4.322378+1 1.548817-2 2.938701+1 1.778279-2 1.982718+1 2.041738-2 1.327404+1 2.344229-2 8.818260+0 2.691535-2 5.816007+0 3.090295-2 3.809429+0 3.589219-2 2.390574+0 4.216965-2 1.436229+0 5.011872-2 8.254490-1 6.025596-2 4.531092-1 7.498942-2 2.204655-1 1.023293-1 7.847188-2 1.445440-1 2.479062-2 1.757924-1 1.298459-2 2.089296-1 7.390061-3 2.398833-1 4.737357-3 2.722701-1 3.173097-3 3.054921-1 2.219089-3 3.427678-1 1.563407-3 3.801894-1 1.148597-3 4.216965-1 8.499216-4 4.677351-1 6.337684-4 5.128614-1 4.916021-4 5.623413-1 3.839214-4 6.165950-1 3.019206-4 6.760830-1 2.391551-4 7.413102-1 1.907793-4 8.511380-1 1.374029-4 9.120108-1 1.173106-4 9.772372-1 1.008449-4 1.047129+0 8.735518-5 1.148154+0 7.267014-5 1.258925+0 6.089791-5 1.396368+0 5.033466-5 1.678804+0 3.627402-5 1.905461+0 2.916987-5 2.137962+0 2.409961-5 2.426610+0 1.967170-5 2.786121+0 1.588359-5 3.235937+0 1.270078-5 3.758374+0 1.023490-5 4.365158+0 8.307651-6 5.128614+0 6.685705-6 6.095369+0 5.338816-6 7.328245+0 4.230564-6 9.015711+0 3.282797-6 1.122018+1 2.532492-6 1.412538+1 1.941798-6 1.800000+1 1.478900-6 2.400000+1 1.078300-6 3.311311+1 7.632678-7 4.841724+1 5.115920-7 7.673615+1 3.175292-7 1.412538+2 1.703328-7 2.818383+2 8.472589-8 5.623413+2 4.228053-8 4.466836+3 5.304877-9 1.000000+5 2.36850-10 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.488000-5 2.488000-5 1.000000+5 2.488000-5 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.488000-5 0.0 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 4.960000-6 3.025600+6 5.370318-6 2.090208+6 5.754399-6 1.504117+6 6.100000-6 1.132560+6 6.456542-6 8.544015+5 6.850000-6 6.328020+5 7.244360-6 4.733925+5 7.700000-6 3.424820+5 8.200000-6 2.432960+5 8.709636-6 1.741301+5 9.930000-6 8.329340+4 1.035142-5 6.627510+4 1.071519-5 5.516319+4 1.100000-5 4.826880+4 1.127000-5 4.292120+4 1.150000-5 3.913160+4 1.174898-5 3.570223+4 1.200000-5 3.284860+4 1.222000-5 3.077380+4 1.244515-5 2.900484+4 1.264200-5 2.771399+4 1.288250-5 2.641746+4 1.310000-5 2.547560+4 1.333521-5 2.466955+4 1.357000-5 2.405480+4 1.380384-5 2.360417+4 1.410000-5 2.322780+4 1.440000-5 2.303380+4 1.470000-5 2.299260+4 1.500000-5 2.307560+4 1.531087-5 2.326706+4 1.570000-5 2.362500+4 1.630000-5 2.436200+4 1.717908-5 2.568269+4 1.950000-5 2.948240+4 2.070000-5 3.128540+4 2.190000-5 3.288180+4 2.317395-5 3.432324+4 2.454709-5 3.558085+4 2.600160-5 3.660583+4 2.754229-5 3.739436+4 2.917427-5 3.794426+4 3.090295-5 3.825619+4 3.273407-5 3.832706+4 3.467369-5 3.814969+4 3.672823-5 3.773415+4 3.935501-5 3.695833+4 4.220000-5 3.590520+4 4.518559-5 3.464588+4 4.841724-5 3.316747+4 5.248075-5 3.126430+4 5.688529-5 2.925483+4 6.165950-5 2.719533+4 6.839116-5 2.456081+4 7.673615-5 2.177814+4 9.000000-5 1.825390+4 1.083927-4 1.473239+4 1.428894-4 1.063980+4 1.584893-4 9.363199+3 1.757924-4 8.182929+3 1.972423-4 6.994989+3 2.264644-4 5.747005+3 3.890451-4 2.597689+3 4.623810-4 1.998797+3 6.165950-4 1.284732+3 7.244360-4 9.965023+2 9.440609-4 6.503180+2 1.122018-3 4.888135+2 1.318257-3 3.721781+2 2.213095-3 1.487965+2 2.786121-3 9.826157+1 3.235937-3 7.462184+1 3.981072-3 5.057628+1 4.897788-3 3.401081+1 6.025596-3 2.269066+1 7.328245-3 1.537685+1 8.810489-3 1.058615+1 1.059254-2 7.234359+0 1.273503-2 4.905484+0 1.531087-2 3.300312+0 1.819701-2 2.259515+0 2.162719-2 1.535368+0 2.570396-2 1.035208+0 3.019952-2 7.114855-1 3.589219-2 4.722735-1 4.265795-2 3.110190-1 5.069907-2 2.032282-1 6.025596-2 1.317292-1 7.244360-2 8.231384-2 8.511380-2 5.419674-2 1.047129-1 3.140860-2 1.364583-1 1.550791-2 2.371374-1 3.503317-3 2.884032-1 2.081546-3 3.427678-1 1.323888-3 3.935501-1 9.280667-4 4.466836-1 6.746639-4 5.069907-1 4.941361-4 5.688529-1 3.750599-4 6.309573-1 2.945504-4 6.998420-1 2.328468-4 7.762471-1 1.853065-4 8.609938-1 1.484573-4 9.549926-1 1.198164-4 1.071519+0 9.525211-5 1.230269+0 7.282244-5 1.380384+0 5.863695-5 1.548817+0 4.753743-5 1.737801+0 3.881363-5 1.972423+0 3.129542-5 2.238721+0 2.542842-5 2.540973+0 2.080791-5 2.917427+0 1.684385-5 3.388442+0 1.350169-5 3.935501+0 1.090541-5 4.623810+0 8.732945-6 5.432503+0 7.046404-6 6.531306+0 5.558031-6 7.943282+0 4.354054-6 9.660509+0 3.435898-6 1.202264+1 2.656980-6 1.513561+1 2.041401-6 1.972423+1 1.519476-6 2.691535+1 1.082985-6 3.935501+1 7.227943-7 6.165950+1 4.523779-7 1.059254+2 2.595339-7 2.113489+2 1.287678-7 4.216965+2 6.419277-8 1.678804+3 1.605986-8 1.000000+5 2.69290-10 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 4.960000-6 4.960000-6 1.000000+5 4.960000-6 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 4.960000-6 0.0 1.000000+5 1.000000+5 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.579190-7 1.027100+0 1.118550-6 1.027500+0 1.400970-6 1.028100+0 1.907390-6 1.028750+0 2.579190-6 1.029500+0 3.529690-6 1.030100+0 4.439010-6 1.031000+0 6.074080-6 1.032000+0 8.310870-6 1.033200+0 1.164210-5 1.034000+0 1.429180-5 1.035300+0 1.939910-5 1.036640+0 2.579190-5 1.038200+0 3.480700-5 1.039700+0 4.522130-5 1.041500+0 6.016630-5 1.043800+0 8.351280-5 1.046400+0 1.161920-4 1.048300+0 1.446630-4 1.051200+0 1.962320-4 1.054080+0 2.579190-4 1.057700+0 3.515610-4 1.061100+0 4.572950-4 1.065100+0 6.054110-4 1.070400+0 8.446160-4 1.076200+0 1.167260-3 1.080600+0 1.457720-3 1.087100+0 1.964020-3 1.093710+0 2.579190-3 1.102600+0 3.575840-3 1.110700+0 4.663310-3 1.120600+0 6.237590-3 1.133300+0 8.672090-3 1.147500+0 1.197270-2 1.158200+0 1.487900-2 1.174100+0 1.988820-2 1.190110+0 2.579190-2 1.205100+0 3.211700-2 1.227500+0 4.299860-2 1.250000+0 5.553000-2 1.265600+0 6.504190-2 1.294900+0 8.450910-2 1.320600+0 1.030410-1 1.343000+0 1.201240-1 1.382200+0 1.517120-1 1.433800+0 1.959290-1 1.500000+0 2.566000-1 1.589800+0 3.468430-1 1.665000+0 4.289680-1 1.784700+0 5.695640-1 1.892300+0 7.029140-1 2.000000+0 8.388000-1 2.044000+0 8.941000-1 2.163500+0 1.044150+0 2.372600+0 1.304810+0 2.647100+0 1.638640+0 3.000000+0 2.049000+0 3.500000+0 2.591070+0 4.000000+0 3.092000+0 4.750000+0 3.776790+0 5.000000+0 3.988000+0 6.000000+0 4.758000+0 7.000000+0 5.441000+0 8.000000+0 6.054000+0 9.000000+0 6.610000+0 1.000000+1 7.121000+0 1.100000+1 7.593000+0 1.200000+1 8.029000+0 1.300000+1 8.437000+0 1.400000+1 8.814000+0 1.500000+1 9.165000+0 1.600000+1 9.490000+0 1.800000+1 1.008000+1 2.000000+1 1.061000+1 2.200000+1 1.108000+1 2.400000+1 1.152000+1 2.600000+1 1.191000+1 2.800000+1 1.228000+1 3.000000+1 1.261000+1 4.000000+1 1.397000+1 5.000000+1 1.498000+1 6.000000+1 1.577000+1 8.000000+1 1.693000+1 1.000000+2 1.775000+1 1.500000+2 1.906000+1 2.000000+2 1.984000+1 3.000000+2 2.075000+1 4.000000+2 2.128000+1 5.000000+2 2.162000+1 6.000000+2 2.187000+1 8.000000+2 2.220000+1 1.000000+3 2.241000+1 1.500000+3 2.272000+1 2.000000+3 2.289000+1 3.000000+3 2.307000+1 4.000000+3 2.317000+1 5.000000+3 2.323000+1 6.000000+3 2.327000+1 8.000000+3 2.333000+1 1.000000+4 2.336000+1 1.500000+4 2.341000+1 2.000000+4 2.344000+1 3.000000+4 2.347000+1 4.000000+4 2.348000+1 5.000000+4 2.349000+1 6.000000+4 2.350000+1 8.000000+4 2.351000+1 1.000000+5 2.351000+1 1 60000 7 8 1.442400+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 6.015430-7 2.094700+0 1.059040-6 2.099900+0 1.408900-6 2.106600+0 1.959890-6 2.114000+0 2.711760-6 2.119500+0 3.376120-6 2.127900+0 4.578660-6 2.136250+0 6.015430-6 2.147000+0 8.247580-6 2.156900+0 1.071260-5 2.169000+0 1.429670-5 2.184500+0 1.987280-5 2.201800+0 2.749460-5 2.214800+0 3.425620-5 2.234200+0 4.608060-5 2.253680+0 6.015430-5 2.281500+0 8.425670-5 2.307000+0 1.106710-4 2.338200+0 1.488060-4 2.377400+0 2.060790-4 2.410200+0 2.620980-4 2.446800+0 3.334030-4 2.485900+0 4.197730-4 2.532900+0 5.372200-4 2.556430+0 6.015430-4 2.611900+0 7.670370-4 2.660400+0 9.273100-4 2.745300+0 1.241150-3 2.809000+0 1.503110-3 2.904500+0 1.936390-3 3.000000+0 2.417000-3 3.125000+0 3.116510-3 3.234400+0 3.791910-3 3.425800+0 5.105730-3 3.569300+0 6.190590-3 3.784700+0 7.956770-3 4.000000+0 9.855000-3 4.250000+0 1.217520-2 4.625000+0 1.582090-2 5.000000+0 1.961000-2 5.500000+0 2.481030-2 6.000000+0 3.008000-2 6.750000+0 3.792090-2 7.000000+0 4.050000-2 8.000000+0 5.058000-2 9.000000+0 6.021000-2 1.000000+1 6.936000-2 1.100000+1 7.800000-2 1.200000+1 8.615000-2 1.300000+1 9.382000-2 1.400000+1 1.011000-1 1.500000+1 1.080000-1 1.600000+1 1.146000-1 1.800000+1 1.267000-1 2.000000+1 1.377000-1 2.200000+1 1.478000-1 2.400000+1 1.570000-1 2.600000+1 1.655000-1 2.800000+1 1.734000-1 3.000000+1 1.808000-1 4.000000+1 2.111000-1 5.000000+1 2.340000-1 6.000000+1 2.522000-1 8.000000+1 2.794000-1 1.000000+2 2.992000-1 1.500000+2 3.319000-1 2.000000+2 3.524000-1 3.000000+2 3.774000-1 4.000000+2 3.925000-1 5.000000+2 4.028000-1 6.000000+2 4.103000-1 8.000000+2 4.208000-1 1.000000+3 4.277000-1 1.500000+3 4.381000-1 2.000000+3 4.441000-1 3.000000+3 4.506000-1 4.000000+3 4.545000-1 5.000000+3 4.568000-1 6.000000+3 4.585000-1 8.000000+3 4.607000-1 1.000000+4 4.621000-1 1.500000+4 4.640000-1 2.000000+4 4.652000-1 3.000000+4 4.662000-1 4.000000+4 4.669000-1 5.000000+4 4.673000-1 6.000000+4 4.676000-1 8.000000+4 4.679000-1 1.000000+5 4.681000-1 1 60000 7 8 1.442400+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 60000 7 9 1.442400+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 6.000000+1 1.000000+5 6.000000+1 5.000000+5 5.996700+1 1.000000+6 5.991400+1 1.375000+6 5.986090+1 1.500000+6 5.983700+1 1.875000+6 5.974750+1 2.000000+6 5.971300+1 2.375000+6 5.959870+1 2.500000+6 5.955700+1 2.875000+6 5.942120+1 3.000000+6 5.937200+1 3.250000+6 5.926250+1 3.625000+6 5.909790+1 4.000000+6 5.892600+1 4.437500+6 5.871010+1 4.812500+6 5.851560+1 5.000000+6 5.841500+1 5.500000+6 5.812400+1 5.875000+6 5.789580+1 6.437500+6 5.754060+1 6.500000+6 5.750070+1 7.000000+6 5.718600+1 7.500000+6 5.686160+1 8.250000+6 5.637880+1 9.000000+6 5.588500+1 1.000000+7 5.521300+1 1.250000+7 5.357000+1 1.500000+7 5.190000+1 1.750000+7 5.022500+1 2.000000+7 4.854200+1 2.250000+7 4.684560+1 2.375000+7 4.600250+1 2.500000+7 4.517900+1 2.875000+7 4.279250+1 3.000000+7 4.203900+1 3.437500+7 3.954500+1 3.500000+7 3.920770+1 3.812500+7 3.759760+1 4.000000+7 3.669100+1 4.500000+7 3.444200+1 5.000000+7 3.239500+1 5.500000+7 3.050440+1 6.000000+7 2.874900+1 6.750000+7 2.634990+1 7.000000+7 2.561400+1 8.000000+7 2.299100+1 9.000000+7 2.086600+1 1.000000+8 1.917100+1 1.125000+8 1.751870+1 1.250000+8 1.618400+1 1.375000+8 1.503890+1 1.500000+8 1.399200+1 1.617200+8 1.305210+1 1.712900+8 1.230070+1 1.718800+8 1.225420+1 1.815400+8 1.150490+1 1.907700+8 1.079730+1 2.000000+8 1.010000+1 2.125000+8 9.192250+0 2.289100+8 8.175920+0 2.375000+8 7.745130+0 2.394500+8 7.657640+0 2.473600+8 7.343130+0 2.500000+8 7.252100+0 2.562500+8 7.062690+0 2.835900+8 6.425780+0 2.945300+8 6.171760+0 3.000000+8 6.033600+0 3.062500+8 5.864840+0 3.335900+8 5.141180+0 3.445300+8 4.910890+0 3.500000+8 4.815100+0 3.562500+8 4.722220+0 3.671900+8 4.591300+0 4.000000+8 4.288600+0 4.179700+8 4.108390+0 4.330100+8 3.946090+0 4.497600+8 3.761410+0 4.750000+8 3.488370+0 4.784700+8 3.452130+0 5.000000+8 3.235700+0 5.343800+8 2.923730+0 5.578100+8 2.728220+0 5.859400+8 2.506140+0 6.000000+8 2.399100+0 6.562500+8 2.019690+0 6.718800+8 1.937490+0 6.906300+8 1.854960+0 7.000000+8 1.820300+0 7.125000+8 1.781030+0 8.000000+8 1.587400+0 8.250000+8 1.525820+0 1.000000+9 1.121700+0 1.031300+9 1.077910+0 1.500000+9 7.910900-1 1.560500+9 7.536770-1 1.615500+9 7.180950-1 1.686000+9 6.718850-1 1.764500+9 6.214200-1 1.823400+9 5.850710-1 1.911700+9 5.338960-1 2.000000+9 4.872600-1 2.139200+9 4.230100-1 2.272600+9 3.707060-1 2.443000+9 3.147590-1 2.602800+9 2.713480-1 2.825100+9 2.224550-1 2.961100+9 1.978410-1 3.215900+9 1.601260-1 3.438900+9 1.341840-1 3.500000+9 1.280030-1 3.634100+9 1.156300-1 3.975600+9 9.023410-2 4.231700+9 7.562770-2 4.615800+9 5.884030-2 5.000000+9 4.646600-2 5.375000+9 3.737920-2 6.031300+9 2.626270-2 7.015600+9 1.638340-2 8.000000+9 1.082500-2 1.00000+10 5.345600-3 1.27030+10 2.523510-3 1.55700+10 1.340520-3 2.00890+10 6.113830-4 2.65200+10 2.620220-4 3.11120+10 1.615570-4 3.97230+10 7.746560-5 5.38510+10 3.124320-5 7.03330+10 1.416840-5 1.00000+11 5.033700-6 1.34280+11 2.127920-6 1.77440+11 9.466830-7 2.63330+11 3.026460-7 4.88110+11 5.164350-8 1.16740+12 4.358610-9 3.55150+12 1.92623-10 1.00000+14 1.84920-14 2.05350+15 4.06845-18 1.00000+17 7.45770-23 1 60000 7 0 1.442400+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.14000-11 1.000000+2 1.140000-9 1.000000+3 1.140000-7 1.000000+4 1.140000-5 1.000000+5 1.140000-3 5.000000+5 2.850000-2 1.000000+6 1.140000-1 1.375000+6 2.128940-1 1.500000+6 2.521000-1 1.875000+6 3.867340-1 2.000000+6 4.370000-1 2.375000+6 6.021420-1 2.500000+6 6.616000-1 2.875000+6 8.510330-1 3.000000+6 9.176000-1 3.250000+6 1.054760+0 3.625000+6 1.269190+0 4.000000+6 1.491000+0 4.437500+6 1.754970+0 4.812500+6 1.982990+0 5.000000+6 2.097000+0 5.500000+6 2.398320+0 5.875000+6 2.621180+0 6.437500+6 2.948870+0 6.500000+6 2.984630+0 7.000000+6 3.267300+0 7.500000+6 3.541990+0 8.250000+6 3.942680+0 9.000000+6 4.334000+0 1.000000+7 4.849000+0 1.250000+7 6.143600+0 1.500000+7 7.463000+0 1.750000+7 8.769600+0 2.000000+7 1.003600+1 2.250000+7 1.125730+1 2.375000+7 1.185270+1 2.500000+7 1.243900+1 2.875000+7 1.414140+1 3.000000+7 1.468800+1 3.437500+7 1.650190+1 3.500000+7 1.674900+1 3.812500+7 1.793140+1 4.000000+7 1.860300+1 4.500000+7 2.025360+1 5.000000+7 2.175900+1 5.500000+7 2.315940+1 6.000000+7 2.449300+1 6.750000+7 2.639860+1 7.000000+7 2.701200+1 8.000000+7 2.936400+1 9.000000+7 3.155600+1 1.000000+8 3.358100+1 1.125000+8 3.585930+1 1.250000+8 3.784800+1 1.375000+8 3.955690+1 1.500000+8 4.103300+1 1.617200+8 4.224560+1 1.712900+8 4.313150+1 1.718800+8 4.318410+1 1.815400+8 4.400600+1 1.907700+8 4.472950+1 2.000000+8 4.540400+1 2.125000+8 4.625120+1 2.289100+8 4.725820+1 2.375000+8 4.775010+1 2.394500+8 4.785610+1 2.473600+8 4.827980+1 2.500000+8 4.841900+1 2.562500+8 4.873160+1 2.835900+8 4.998760+1 2.945300+8 5.044250+1 3.000000+8 5.066000+1 3.062500+8 5.089910+1 3.335900+8 5.187170+1 3.445300+8 5.222610+1 3.500000+8 5.240000+1 3.562500+8 5.258690+1 3.671900+8 5.290790+1 4.000000+8 5.378800+1 4.179700+8 5.421260+1 4.330100+8 5.454650+1 4.497600+8 5.488990+1 4.750000+8 5.536240+1 4.784700+8 5.542120+1 5.000000+8 5.577800+1 5.343800+8 5.626460+1 5.578100+8 5.655920+1 5.859400+8 5.686540+1 6.000000+8 5.700300+1 6.562500+8 5.746490+1 6.718800+8 5.757310+1 6.906300+8 5.769380+1 7.000000+8 5.775300+1 7.125000+8 5.782160+1 8.000000+8 5.824300+1 8.250000+8 5.833860+1 1.000000+9 5.886500+1 1.031300+9 5.893500+1 1.500000+9 5.962700+1 1.560500+9 5.967270+1 1.615500+9 5.971270+1 1.686000+9 5.975250+1 1.764500+9 5.979320+1 1.823400+9 5.982130+1 1.911700+9 5.985280+1 2.000000+9 5.988300+1 2.139200+9 5.991330+1 2.272600+9 5.994060+1 2.443000+9 5.996770+1 2.602800+9 5.998390+1 2.825100+9 5.999820+1 2.961100+9 6.000310+1 3.215900+9 6.001160+1 3.438900+9 6.001200+1 3.500000+9 6.001140+1 3.634100+9 6.001020+1 3.975600+9 6.000740+1 4.231700+9 6.000530+1 4.615800+9 6.000260+1 5.000000+9 6.000000+1 5.375000+9 6.000000+1 6.031300+9 6.000000+1 7.015600+9 6.000000+1 8.000000+9 6.000000+1 1.00000+10 6.000000+1 1.27030+10 6.000000+1 1.55700+10 6.000000+1 2.00890+10 6.000000+1 2.65200+10 6.000000+1 3.11120+10 6.000000+1 3.97230+10 6.000000+1 5.38510+10 6.000000+1 7.03330+10 6.000000+1 1.00000+11 6.000000+1 1.34280+11 6.000000+1 1.77440+11 6.000000+1 2.63330+11 6.000000+1 4.88110+11 6.000000+1 1.16740+12 6.000000+1 3.55150+12 6.000000+1 1.00000+14 6.000000+1 2.05350+15 6.000000+1 1.00000+17 6.000000+1 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.007017-6 6.904244-8 1.009490-6 1.366160-7 1.011962-6 2.495402-7 1.014435-6 4.207591-7 1.016907-6 6.549081-7 1.019380-6 9.409814-7 1.021852-6 1.248060-6 1.024325-6 1.528073-6 1.026797-6 1.727056-6 1.029270-6 1.801867-6 1.031743-6 1.735374-6 1.034215-6 1.542827-6 1.036688-6 1.266180-6 1.041633-6 6.708318-7 1.044105-6 4.330657-7 1.046578-6 2.580761-7 1.049050-6 1.419698-7 1.051523-6 7.209384-8 1.053996-6 0.0 2.042945-6 0.0 2.052374-6 3.947454+0 2.053002-6 4.208195+0 2.058031-6 7.686611+0 2.063059-6 1.296068+1 2.068716-6 2.127236+1 2.077438-6 3.711121+1 2.083802-6 4.783396+1 2.088663-6 5.340978+1 2.093763-6 5.528650+1 2.099051-6 5.252191+1 2.104034-6 4.626049+1 2.112329-6 3.145989+1 2.118372-6 2.066370+1 2.123715-6 1.300363+1 2.128429-6 7.949545+0 2.133615-6 4.306001+0 2.140935-6 1.140328+0 2.143482-6 1.449748-2 2.143510-6 1.812209-3 2.143515-6 0.0 2.177689-6 0.0 2.187069-6 7.611371+0 2.188409-6 8.687615+0 2.193769-6 1.586864+1 2.199464-6 2.768521+1 2.205159-6 4.391577+1 2.214715-6 7.756001+1 2.220905-6 9.796157+1 2.226797-6 1.105947+2 2.231677-6 1.142786+2 2.237142-6 1.092335+2 2.242973-6 9.495584+1 2.251411-6 6.581170+1 2.258091-6 4.265921+1 2.263451-6 2.753930+1 2.268811-6 1.641145+1 2.274171-6 9.028075+0 2.282211-6 2.294973+0 2.284891-6 0.0 3.044211-6 0.0 3.051704-6 3.53121-15 3.059196-6 6.98730-15 3.066689-6 1.27629-14 3.074182-6 2.15200-14 3.081675-6 3.34956-14 3.089168-6 4.81270-14 3.096661-6 6.38327-14 3.104154-6 7.81541-14 3.111647-6 8.83313-14 3.119140-6 9.21575-14 3.126633-6 8.87567-14 3.134126-6 7.89087-14 3.141619-6 6.47595-14 3.156605-6 3.43101-14 3.164098-6 2.21494-14 3.171591-6 1.31994-14 3.179084-6 7.26112-15 3.186576-6 3.68728-15 3.194069-6 0.0 3.528744-6 0.0 3.530872-6 3.17031-16 3.541325-6 3.955258-6 3.548254-6 1.026660-5 3.551280-6 1.376168-5 3.568762-6 1.029517-1 3.577503-6 1.880389-1 3.586244-6 3.170438-1 3.592573-6 4.463735-1 3.596794-6 6.314871-1 3.610625-6 1.285270+0 3.621068-6 1.942475+0 3.632677-6 2.833589+0 3.655038-6 4.689429+0 3.666708-6 5.341160+0 3.673654-6 5.541714+0 3.683966-6 5.389613+0 3.692229-6 4.962475+0 3.702935-6 4.056453+0 3.725132-6 1.863560+0 3.733975-6 1.199159+0 3.742817-6 7.146130-1 3.751111-6 4.131053-1 3.751660-6 4.041575-1 3.764923-6 3.765279-1 3.769345-6 3.640009-1 3.778810-6 6.732732-1 3.788620-6 1.174626+0 3.797853-6 1.815109+0 3.814437-6 3.250015+0 3.825551-6 4.156304+0 3.834784-6 4.672281+0 3.844017-6 4.850351+0 3.853250-6 4.649739+0 3.863060-6 4.069528+0 3.876909-6 2.899102+0 3.889604-6 1.809941+0 3.898837-6 1.168435+0 3.908070-6 6.963036-1 3.917303-6 3.830423-1 3.931152-6 9.737091-2 3.935769-6 0.0 4.001352-6 0.0 4.021049-6 2.688297-1 4.030898-6 4.910394-1 4.040747-6 8.279599-1 4.051319-6 1.330369+0 4.076363-6 2.782426+0 4.081919-6 3.077408+0 4.090607-6 3.407883+0 4.100456-6 3.542024+0 4.110478-6 3.399432+0 4.123710-6 2.883924+0 4.144633-6 1.846102+0 4.151058-6 1.598349+0 4.158933-6 1.370773+0 4.168782-6 1.245462+0 4.178631-6 1.257135+0 4.195574-6 1.382772+0 4.200622-6 1.413938+0 4.207503-6 1.487338+0 4.217205-6 1.492171+0 4.227670-6 1.385409+0 4.237753-6 1.201718+0 4.257919-6 7.421344-1 4.267616-6 5.528105-1 4.276280-6 4.233723-1 4.286407-6 3.290671-1 4.296534-6 2.794598-1 4.306888-6 2.679064-1 4.317284-6 2.471120-1 4.327680-6 2.578161-1 4.338076-6 2.483021-1 4.348472-6 2.207519-1 4.365626-6 1.561989-1 4.379661-6 1.310481-1 4.388296-6 1.251763-1 4.397862-6 1.384713-1 4.400453-6 1.469894-1 4.409740-6 1.885068-1 4.421245-6 2.695366-1 4.431641-6 3.570981-1 4.441906-6 4.564559-1 4.452628-6 5.462938-1 4.463350-6 6.044921-1 4.474106-6 6.182976-1 4.485118-6 5.826602-1 4.496130-6 5.056689-1 4.518155-6 3.120427-1 4.528271-6 2.345440-1 4.538404-6 1.807656-1 4.549126-6 1.543630-1 4.559849-6 1.575409-1 4.573218-6 1.887084-1 4.580534-6 2.103642-1 4.595242-6 2.778734-1 4.606255-6 3.174617-1 4.617267-6 3.359700-1 4.628280-6 3.347622-1 4.668025-6 2.646879-1 4.683880-6 2.527458-1 4.718213-6 2.608873-1 4.833084-6 2.366752-1 4.867316-6 2.249934-1 4.896828-6 2.094658-1 4.928502-6 2.024289-1 4.996202-6 2.062630-1 5.482304-6 1.487868-1 5.838919-6 1.171619-1 6.187246-6 9.352983-2 6.287892-6 8.779714-2 6.318845-6 9.556725-2 6.334322-6 1.025407-1 6.349799-6 1.135493-1 6.365276-6 1.289555-1 6.411706-6 1.870408-1 6.427183-6 2.000293-1 6.442660-6 2.044224-1 6.458137-6 1.990392-1 6.473614-6 1.849720-1 6.520044-6 1.223948-1 6.535521-6 1.051974-1 6.550998-6 9.234544-2 6.566475-6 8.361279-2 6.597428-6 7.240516-2 6.750046-6 6.593263-2 6.783275-6 7.097969-2 6.799889-6 7.560458-2 6.816504-6 8.299977-2 6.833118-6 9.340334-2 6.864081-6 1.203932-1 6.882961-6 1.379079-1 6.899576-6 1.505468-1 6.916190-6 1.589690-1 6.937100-6 1.618163-1 6.956492-6 1.583288-1 6.983079-6 1.463670-1 7.012862-6 1.281465-1 7.082334-6 7.855265-2 7.107985-6 6.695549-2 7.130225-6 6.084161-2 7.156215-6 5.797135-2 7.180397-6 5.809727-2 7.261125-6 7.273334-2 7.278610-6 7.374617-2 7.348550-6 6.897765-2 7.366035-6 6.935194-2 7.383520-6 7.151989-2 7.401251-6 7.562980-2 7.448752-6 9.027834-2 7.475497-6 9.592681-2 7.495830-6 9.646153-2 7.515519-6 9.374984-2 7.581209-6 7.359840-2 7.607177-6 6.749056-2 7.627627-6 6.493809-2 7.674183-6 6.388643-2 7.724299-6 6.696657-2 7.746985-6 6.714124-2 7.833261-6 6.140019-2 7.879543-6 6.283694-2 7.941857-6 6.684092-2 8.014325-6 6.737033-2 8.143571-6 6.430423-2 8.264616-6 5.790210-2 8.327645-6 5.837877-2 8.446825-6 6.194593-2 9.192161-6 5.854045-2 9.876221-6 5.911299-2 1.074901-5 6.456428-2 1.165000-5 7.494836-2 1.273299-5 9.310269-2 1.406560-5 1.233005-1 1.562288-5 1.694187-1 1.739162-5 2.363076-1 1.912497-5 3.181456-1 2.022186-5 3.766246-1 2.032141-5 2.527082+0 2.037344-5 4.424237+0 2.042096-5 6.993424+0 2.044429-5 8.715533+0 2.049444-5 2.232844+1 2.054493-5 3.647655+1 2.059525-5 5.680109+1 2.065186-5 8.865980+1 2.070367-5 1.249846+2 2.084686-5 2.341395+2 2.090532-5 2.579954+2 2.095260-5 2.614073+2 2.100244-5 2.466892+2 2.105514-5 2.137551+2 2.119911-5 9.388582+1 2.124943-5 6.049914+1 2.129975-5 3.623379+1 2.135007-5 2.013468+1 2.142555-5 5.455309+0 2.145071-5 4.518207-1 2.248389-5 5.168330-1 2.259457-5 7.804285-1 2.264991-5 9.957102-1 2.270525-5 1.320064+0 2.276059-5 1.762164+0 2.292863-5 3.422305+0 2.304146-5 4.274035+0 2.316077-5 4.677423+0 2.321736-5 5.010774+0 2.327395-5 5.599599+0 2.335263-5 6.874481+0 2.341887-5 8.115855+0 2.353628-5 2.033057+1 2.359784-5 3.000778+1 2.365616-5 4.339175+1 2.372163-5 6.391261+1 2.388927-5 1.260722+2 2.395162-5 1.401804+2 2.400648-5 1.436632+2 2.406718-5 1.360856+2 2.413201-5 1.170089+2 2.429239-5 5.529472+1 2.434520-5 3.877258+1 2.440146-5 2.572903+1 2.445917-5 1.684248+1 2.457223-5 6.038526+0 2.476229-5 5.837174+0 2.568337-5 5.460835+0 2.593374-5 5.653995+0 2.619025-5 6.395214+0 2.643939-5 7.296950+0 2.662482-5 8.422394+0 2.675925-5 9.199789+0 2.682240-5 9.316067+0 2.691211-5 9.046033+0 2.715709-5 7.753537+0 2.729972-5 7.590106+0 2.763741-5 7.686294+0 2.831596-5 7.352083+0 2.925438-5 6.811220+0 3.209165-5 5.802239+0 3.479872-5 5.175725+0 3.858748-5 4.641313+0 4.141039-5 4.446863+0 4.220000-5 4.456590+0 4.291216-5 4.356310+0 5.011872-5 4.333313+0 8.623299-5 5.412067+0 1.116416-4 5.788991+0 1.134915-4 5.799401+0 1.139639-4 6.625766+0 1.144804-4 2.624703+1 1.145249-4 2.795488+1 1.148054-4 4.563151+1 1.150860-4 7.203439+1 1.154064-4 1.138594+2 1.162080-4 2.368445+2 1.165142-4 2.659563+2 1.168004-4 2.733733+2 1.170890-4 2.591572+2 1.174208-4 2.208887+2 1.180138-4 1.389151+2 1.181891-4 1.175153+2 1.184608-4 9.535778+1 1.187456-4 8.740340+1 1.190263-4 9.392612+1 1.196249-4 1.353511+2 1.199232-4 1.631678+2 1.201830-4 1.802623+2 1.204590-4 1.871284+2 1.207718-4 1.785039+2 1.211242-4 1.523502+2 1.219168-4 7.273487+1 1.221990-4 4.973987+1 1.224769-4 3.286882+1 1.227648-4 2.122467+1 1.233435-4 6.943234+0 1.242865-4 7.204585+0 1.259833-4 8.133245+0 1.288461-4 8.728685+0 1.337580-4 1.007082+1 1.375563-4 1.044348+1 1.423560-4 1.012927+1 1.562446-4 8.275198+0 1.672466-4 7.235680+0 1.797336-4 6.571457+0 1.957000-4 6.237437+0 2.201747-4 6.288789+0 2.226557-4 6.602061+0 2.254559-4 7.536513+0 2.271405-4 7.677140+0 2.312597-4 7.450439+0 2.460867-4 7.747544+0 2.545977-4 8.141575+0 3.064451-4 8.883158+0 3.129113-4 9.429907+0 3.819717-4 9.874237+0 4.748894-4 9.805778+0 7.008005-4 8.492224+0 9.529113-4 6.920419+0 9.576022-4 1.274381+1 9.600232-4 1.782062+1 9.624149-4 2.545658+1 9.649767-4 3.678019+1 9.714805-4 7.207757+1 9.743882-4 8.292149+1 9.767745-4 8.756067+1 9.790982-4 8.706633+1 9.862355-4 7.123553+1 9.886528-4 6.846718+1 9.909225-4 6.866547+1 9.971369-4 7.568860+1 1.001939-3 7.288639+1 1.005156-3 6.553805+1 1.011296-3 4.708495+1 1.013454-3 4.177126+1 1.015854-3 3.748429+1 1.018254-3 3.469381+1 1.023054-3 3.126038+1 1.107786-3 3.111248+1 1.211072-3 2.902881+1 1.259807-3 2.788122+1 1.269366-3 2.868573+1 1.286780-3 3.126344+1 1.348963-3 2.912814+1 1.374493-3 2.905476+1 1.397396-3 2.981702+1 1.523885-3 2.668815+1 1.575719-3 2.669448+1 1.851399-3 2.180307+1 2.169425-3 1.766820+1 2.475996-3 1.469997+1 2.838736-3 1.210060+1 3.151133-3 1.038836+1 3.624641-3 8.437830+0 4.131367-3 6.917198+0 4.717914-3 5.636003+0 5.361509-3 4.612613+0 6.049316-3 3.821895+0 6.091468-3 4.011534+0 6.117253-3 4.412670+0 6.139316-3 5.047160+0 6.161939-3 5.996558+0 6.214330-3 8.570290+0 6.249932-3 9.669585+0 6.281685-3 1.004685+1 6.433266-3 9.860796+0 6.601022-3 9.550719+0 6.651160-3 9.853726+0 6.763153-3 1.191305+1 6.823623-3 1.222195+1 7.013948-3 1.194344+1 7.153010-3 1.290386+1 7.318446-3 1.271430+1 8.385104-3 1.029247+1 9.683654-3 8.175097+0 1.099029-2 6.651833+0 1.234497-2 5.493404+0 1.410506-2 4.393262+0 1.612501-2 3.501199+0 1.770738-2 2.979708+0 1.992393-2 2.429536+0 2.245174-2 1.972009+0 2.521329-2 1.607219+0 2.833618-2 1.306099+0 3.172534-2 1.067145+0 3.520634-2 8.847613-1 3.973045-2 7.111658-1 4.245180-2 6.324308-1 4.272522-2 6.461837-1 4.287336-2 6.853924-1 4.301029-2 7.682187-1 4.310746-2 8.682079-1 4.322263-2 1.042886+0 4.335747-2 1.329778+0 4.357254-2 1.926079+0 4.383986-2 2.661476+0 4.400295-2 2.978172+0 4.424274-2 3.221272+0 4.455801-2 3.288793+0 5.293229-2 2.501520+0 6.101111-2 1.979334+0 7.020329-2 1.558085+0 7.943282-2 1.259247+0 9.020454-2 1.006672+0 1.003053-1 8.347070-1 1.129172-1 6.749430-1 1.263721-1 5.511518-1 1.418725-1 4.473431-1 1.566999-1 3.737663-1 1.745101-1 3.076100-1 1.944241-1 2.530816-1 2.141811-1 2.126460-1 2.390935-1 1.748898-1 2.660127-1 1.449581-1 2.961446-1 1.203291-1 3.325976-1 9.893958-2 3.735856-1 8.172417-2 4.162954-1 6.874530-2 4.651932-1 5.791575-2 5.227393-1 4.873876-2 5.888827-1 4.119213-2 6.797414-1 3.404639-2 7.676376-1 2.925677-2 8.735645-1 2.517132-2 1.008672+0 2.161667-2 1.173413+0 1.833145-2 1.410753+0 1.496827-2 1.696098+0 1.222213-2 2.039158+0 9.979800-3 2.451607+0 8.148860-3 2.814822+0 6.999679-3 3.384160+0 5.715486-3 4.068655+0 4.666897-3 4.891600+0 3.810687-3 5.880996+0 3.111561-3 7.070513+0 2.540700-3 8.500626+0 2.074571-3 9.760024+0 1.782008-3 1.000000+1 3.650238-3 1 60000 7 0 1.442400+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-5.936521+1 1.649930-6-5.683373+1 1.873107-6-5.318358+1 1.964658-6-4.889903+1 2.007496-6-4.430669+1 2.029025-6-3.970134+1 2.039642-6-3.556260+1 2.053002-6-2.664942+1 2.058659-6-2.239618+1 2.064788-6-1.854459+1 2.068716-6-1.714775+1 2.071466-6-1.709834+1 2.074373-6-1.784410+1 2.077438-6-1.987830+1 2.081052-6-2.392765+1 2.083173-6-2.724273+1 2.087995-6-3.640512+1 2.098298-6-5.984355+1 2.104569-6-4.802891+1 2.109735-6-4.222030+1 2.113344-6-4.040562+1 2.117974-6-4.036128+1 2.123715-6-4.335962+1 2.143913-6-5.973170+1 2.160864-6-4.760359+1 2.172026-6-3.892906+1 2.176793-6-3.352346+1 2.179854-6-2.866242+1 2.187739-6-1.919994+1 2.193769-6-1.058593+1 2.194732-6-9.075241+0 2.199129-6-3.788195+0 2.199464-6-3.273588+0 2.200093-6-2.570918+0 2.201192-6-1.630353+0 2.204489-6 4.360377-1 2.205159-6 8.457753-1 2.206332-6 1.052164+0 2.207211-6 9.781437-1 2.208530-6 5.851273-1 2.209850-6-3.439432-2 2.210520-6-4.502662-1 2.211692-6-1.536269+0 2.212572-6-2.582001+0 2.213231-6-3.494256+0 2.214220-6-5.082503+0 2.214715-6-5.991343+0 2.216550-6-9.967043+0 2.218308-6-1.423230+1 2.220146-6-1.969711+1 2.224870-6-3.709090+1 2.228710-6-5.441289+1 2.230037-6-5.983384+1 2.231677-6-5.129349+1 2.237751-6-2.366422+1 2.242345-6-6.400895+0 2.242973-6-4.269122+0 2.244073-6-9.921700-1 2.244897-6 1.216988+0 2.246134-6 4.240014+0 2.248040-6 8.520895+0 2.249213-6 1.060973+1 2.250092-6 1.192713+1 2.252071-6 1.417089+1 2.255075-6 1.584297+1 2.257337-6 1.602570+1 2.260771-6 1.425726+1 2.262781-6 1.275137+1 2.264121-6 1.098310+1 2.267638-6 7.191373+0 2.268224-6 6.431166+0 2.268811-6 5.480412+0 2.274171-6-1.699527+0 2.274841-6-2.727197+0 2.276013-6-4.192401+0 2.282211-6-1.094465+1 2.284221-6-1.352621+1 2.285633-6-1.598376+1 2.287854-6-1.864054+1 2.292277-6-2.248418+1 2.299597-6-2.701643+1 2.311163-6-3.191671+1 2.328188-6-3.663991+1 2.355724-6-4.133946+1 2.402728-6-4.581072+1 2.496336-6-5.005947+1 2.705329-6-5.367288+1 3.551280-6-5.857771+1 3.613178-6-5.972158+1 3.655038-6-5.964740+1 3.710262-6-5.462986+1 3.752765-6-5.624454+1 3.809556-6-5.881075+1 3.856225-6-5.504391+1 3.889604-6-5.377210+1 4.068396-6-5.833935+1 4.142380-6-5.501083+1 4.217205-6-5.553721+1 4.501637-6-5.627162+1 1.250435-5-6.017914+1 1.605246-5-5.626386+1 1.774528-5-5.135869+1 1.865695-5-4.580031+1 1.919812-5-3.980122+1 1.948694-5-3.474810+1 1.970432-5-2.934088+1 1.984771-5-2.449637+1 1.994329-5-2.039957+1 2.003888-5-1.528171+1 2.011080-5-1.046033+1 2.015939-5-6.518065+0 2.018387-5-4.242083+0 2.020287-5-2.290914+0 2.022186-5-4.909132-2 2.028179-5 7.460012+0 2.030160-5 1.019686+1 2.032141-5 1.325494+1 2.036043-5 1.995492+1 2.040908-5 3.032831+1 2.043846-5 3.881788+1 2.045574-5 4.553322+1 2.049444-5 5.583010+1 2.054493-5 6.836296+1 2.061255-5 8.509333+1 2.066287-5 9.265493+1 2.070367-5 9.279123+1 2.074217-5 8.608116+1 2.077544-5 7.483372+1 2.080138-5 6.224739+1 2.082031-5 5.003093+1 2.084022-5 3.450964+1 2.085000-5 2.512032+1 2.087359-5 4.059251+0 2.087949-5-1.391517+0 2.088391-5-5.629599+0 2.088972-5-1.148401+1 2.089531-5-1.770136+1 2.089951-5-2.320150+1 2.091060-5-3.524675+1 2.093658-5-6.207056+1 2.094770-5-4.870632+1 2.095260-5-4.249470+1 2.099782-5 4.766850+0 2.099939-5 6.777146+0 2.100244-5 1.013472+1 2.100815-5 1.583307+1 2.102190-5 2.810998+1 2.104814-5 5.000098+1 2.105514-5 5.587759+1 2.107258-5 6.727426+1 2.110180-5 8.151575+1 2.113392-5 9.197982+1 2.116702-5 9.758928+1 2.119309-5 9.769100+1 2.124314-5 8.890284+1 2.129975-5 7.180773+1 2.136737-5 4.979352+1 2.143813-5 3.076042+1 2.145071-5 2.603421+1 2.145645-5 2.361770+1 2.147281-5 1.868453+1 2.149585-5 1.324362+1 2.151568-5 9.310257+0 2.153551-5 5.846344+0 2.154873-5 3.741606+0 2.156856-5 8.358926-1 2.158839-5-1.815898+0 2.161741-5-5.321890+0 2.164126-5-7.924156+0 2.166770-5-1.056520+1 2.172383-5-1.548762+1 2.180364-5-2.129015+1 2.190565-5-2.730246+1 2.206428-5-3.469661+1 2.232866-5-4.428435+1 2.290619-5-6.286407+1 2.314497-5-5.470789+1 2.327395-5-4.740547+1 2.336919-5-3.987564+1 2.341363-5-3.470268+1 2.343585-5-3.107039+1 2.353194-5-2.046186+1 2.359422-5-1.234283+1 2.359784-5-1.172811+1 2.365215-5-5.607869+0 2.365616-5-5.021442+0 2.366369-5-4.281628+0 2.367687-5-3.392310+0 2.369663-5-2.585547+0 2.371639-5-1.904097+0 2.372163-5-1.686628+0 2.373177-5-1.714971+0 2.374128-5-2.014759+0 2.375019-5-2.485625+0 2.375854-5-3.077679+0 2.377421-5-4.556551+0 2.378792-5-6.233258+0 2.379991-5-7.993807+0 2.381041-5-9.764108+0 2.382763-5-1.315884+1 2.384081-5-1.620498+1 2.385965-5-2.134844+1 2.387706-5-2.723132+1 2.393421-5-5.164909+1 2.395601-5-6.337995+1 2.398361-5-5.164080+1 2.399908-5-4.312635+1 2.400648-5-3.846436+1 2.406156-5-1.116645+1 2.406347-5-9.984534+0 2.406718-5-8.031181+0 2.407413-5-4.742114+0 2.408021-5-2.081362+0 2.409086-5 2.273887+0 2.413201-5 1.815158+1 2.414341-5 2.171087+1 2.416270-5 2.670909+1 2.418884-5 3.198731+1 2.422320-5 3.657202+1 2.425347-5 3.870976+1 2.428266-5 3.908298+1 2.433860-5 3.506513+1 2.439531-5 2.766442+1 2.446623-5 1.677711+1 2.449273-5 1.325701+1 2.453248-5 8.415652+0 2.455235-5 5.812637+0 2.456229-5 4.345988+0 2.456726-5 3.519045+0 2.457790-5 1.350379+0 2.458855-5-2.699692-1 2.460717-5-2.587974+0 2.462113-5-4.084672+0 2.464208-5-6.069687+0 2.466303-5-7.805156+0 2.469756-5-1.031079+1 2.476229-5-1.419478+1 2.484811-5-1.810106+1 2.497843-5-2.253211+1 2.519291-5-2.760071+1 2.545617-5-3.186280+1 2.600160-5-3.799542+1 2.656585-5-4.144317+1 2.688838-5-4.043142+1 2.715709-5-4.060130+1 2.798206-5-4.234108+1 3.276800-5-4.571769+1 4.640476-5-4.896546+1 8.205061-5-5.392328+1 9.161860-5-5.671447+1 9.933400-5-5.087070+1 1.038193-4-4.461455+1 1.067058-4-3.787744+1 1.085773-4-3.113134+1 1.096954-4-2.547540+1 1.105591-4-1.974646+1 1.110753-4-1.549523+1 1.113774-4-1.262320+1 1.116416-4-9.823087+0 1.118729-4-7.111866+0 1.120752-4-4.504391+0 1.122522-4-2.013194+0 1.124072-4 3.514260-1 1.125427-4 2.582043+0 1.126613-4 4.674250+0 1.128689-4 8.703391+0 1.130245-4 1.209146+1 1.132289-4 1.714108+1 1.134259-4 2.287725+1 1.137011-4 3.294119+1 1.138915-4 4.212905+1 1.139639-4 4.719526+1 1.140539-4 5.343016+1 1.144804-4 7.637441+1 1.148405-4 9.983321+1 1.151824-4 1.177834+2 1.154064-4 1.241052+2 1.156078-4 1.224020+2 1.158081-4 1.137150+2 1.159686-4 1.015612+2 1.161511-4 8.087705+1 1.164145-4 3.978570+1 1.164700-4 2.962185+1 1.165142-4 1.979950+1 1.165461-4 1.369505+1 1.166854-4-1.158267+1 1.167426-4-2.277888+1 1.167657-4-2.803754+1 1.167924-4-3.451280+1 1.168910-4-5.316697+1 1.169009-4-5.491453+1 1.169752-4-4.610197+1 1.170466-4-3.265974+1 1.170729-4-2.703467+1 1.171182-4-1.928090+1 1.171678-4-1.173485+1 1.172084-4-6.022909+0 1.172692-4 2.083157+0 1.173148-4 8.106366+0 1.173388-4 1.165166+1 1.173560-4 1.389241+1 1.173895-4 1.774478+1 1.174502-4 2.375285+1 1.175294-4 3.017921+1 1.176142-4 3.557752+1 1.177093-4 3.996689+1 1.177888-4 4.227698+1 1.178910-4 4.301524+1 1.180532-4 4.066014+1 1.181494-4 3.677863+1 1.181891-4 3.365905+1 1.183534-4 2.372668+1 1.184027-4 2.017161+1 1.184459-4 1.619679+1 1.184608-4 1.425105+1 1.184778-4 1.253340+1 1.185096-4 9.745199+0 1.186490-4-1.124161+0 1.186908-4-4.648185+0 1.187117-4-6.619877+0 1.187273-4-8.327094+0 1.187369-4-9.673776+0 1.187623-4-1.232912+1 1.188331-4-1.812369+1 1.189962-4-2.991460+1 1.190350-4-3.364489+1 1.191176-4-3.860296+1 1.192648-4-4.382456+1 1.193944-4-4.619381+1 1.196433-4-4.806353+1 1.197722-4-4.510369+1 1.198734-4-4.035199+1 1.200419-4-2.753996+1 1.201106-4-2.146229+1 1.201544-4-1.670246+1 1.201652-4-1.513537+1 1.201830-4-1.297016+1 1.202164-4-9.345274+0 1.203332-4 2.673527+0 1.203624-4 5.797641+0 1.204063-4 1.078761+1 1.204390-4 1.498438+1 1.204590-4 1.815665+1 1.208118-4 5.982682+1 1.211242-4 8.776187+1 1.213276-4 9.978097+1 1.214990-4 1.057415+2 1.217482-4 1.088657+2 1.219168-4 1.071650+2 1.221990-4 9.913508+1 1.227648-4 7.452362+1 1.233083-4 5.284314+1 1.234010-4 4.785121+1 1.235978-4 4.081221+1 1.238354-4 3.441831+1 1.241488-4 2.773647+1 1.244879-4 2.196644+1 1.249238-4 1.599837+1 1.253712-4 1.111776+1 1.256347-4 8.685897+0 1.259833-4 5.861098+0 1.262608-4 3.851292+0 1.265368-4 2.019766+0 1.268701-4 2.665630-2 1.270029-4-7.701000-1 1.273524-4-2.660751+0 1.278842-4-5.241378+0 1.284011-4-7.434714+0 1.293156-4-1.068508+1 1.304008-4-1.373154+1 1.317958-4-1.673709+1 1.337580-4-1.973147+1 1.363084-4-2.226983+1 1.404250-4-2.470157+1 1.480579-4-2.737639+1 1.672466-4-3.128097+1 1.957000-4-3.454208+1 2.221554-4-3.711842+1 2.265549-4-3.692175+1 2.601158-4-3.653026+1 3.213464-4-3.531502+1 4.409354-4-3.246238+1 5.706168-4-3.109973+1 7.008005-4-3.135491+1 8.098203-4-3.324354+1 8.870047-4-3.649500+1 9.290080-4-4.006959+1 9.529113-4-4.386382+1 9.670080-4-4.830231+1 9.822708-4-5.577538+1 9.909225-4-5.564867+1 1.013454-3-4.930959+1 1.031488-3-4.279509+1 1.056209-3-3.799596+1 1.088616-3-3.396102+1 1.146978-3-2.889304+1 1.211072-3-2.517784+1 1.253118-3-2.421900+1 1.286780-3-2.508924+1 1.324034-3-2.171721+1 1.359324-3-2.013739+1 1.397396-3-1.940637+1 1.431461-3-1.743372+1 1.490691-3-1.545526+1 1.535806-3-1.475253+1 1.562449-3-1.421995+1 1.604492-3-1.268466+1 1.686681-3-1.087310+1 1.804243-3-9.092363+0 1.945077-3-7.621406+0 2.115771-3-6.410778+0 2.317701-3-5.496088+0 2.582736-3-4.831103+0 2.838736-3-4.506165+0 3.151133-3-4.377703+0 3.624641-3-4.507097+0 4.131367-3-4.906608+0 4.717914-3-5.648929+0 5.229887-3-6.638992+0 5.589018-3-7.723575+0 5.811003-3-8.775796+0 5.965649-3-9.957736+0 6.049316-3-1.104050+1 6.108409-3-1.239600+1 6.174384-3-1.429460+1 6.214330-3-1.448879+1 6.266228-3-1.329525+1 6.335633-3-1.153870+1 6.400000-3-1.069005+1 6.509306-3-1.006891+1 6.601022-3-1.015523+1 6.702703-3-1.093381+1 6.748515-3-1.077912+1 6.872594-3-8.957459+0 6.953776-3-8.378540+0 7.085318-3-8.161690+0 7.153010-3-7.531920+0 7.240994-3-6.526868+0 7.359754-3-5.634643+0 7.523871-3-4.782995+0 7.762745-3-3.879871+0 8.067764-3-3.032632+0 8.385104-3-2.389395+0 8.735526-3-1.854729+0 8.989799-3-1.546371+0 9.259876-3-1.276601+0 9.418186-3-1.138305+0 9.815650-3-8.628858-1 1.008082-2-7.148829-1 1.037006-2-5.820526-1 1.063358-2-4.794118-1 1.099029-2-3.695031-1 1.137926-2-2.747328-1 1.156733-2-2.366572-1 1.185047-2-1.854920-1 1.221448-2-1.355077-1 1.234497-2-1.212092-1 1.272930-2-8.866421-2 1.300991-2-7.079023-2 1.317797-2-6.269380-2 1.349926-2-5.219457-2 1.372229-2-4.758729-2 1.386357-2-4.552280-2 1.427816-2-4.576883-2 1.449490-2-4.714635-2 1.476639-2-5.080851-2 1.507238-2-5.791905-2 1.569008-2-7.723106-2 1.612501-2-9.424901-2 1.662724-2-1.179512-1 1.770738-2-1.796208-1 1.992393-2-3.183883-1 3.172534-2-1.118033+0 3.520634-2-1.406461+0 3.789848-2-1.707224+0 3.973045-2-2.005824+0 4.096737-2-2.308371+0 4.187008-2-2.653158+0 4.245180-2-3.019819+0 4.282495-2-3.428456+0 4.341197-2-4.356271+0 4.361658-2-4.438970+0 4.383986-2-4.238217+0 4.443883-2-3.189621+0 4.480453-2-2.768527+0 4.533419-2-2.384290+0 4.606489-2-2.030402+0 4.703828-2-1.702308+0 4.828400-2-1.399579+0 4.972873-2-1.146136+0 5.131170-2-9.425541-1 5.293229-2-7.860690-1 5.514512-2-6.248915-1 5.726945-2-5.059575-1 5.966102-2-4.020375-1 6.251190-2-3.125662-1 6.537437-2-2.471240-1 6.712357-2-2.148819-1 6.875477-2-1.909596-1 7.213707-2-1.538220-1 7.555021-2-1.286543-1 7.760187-2-1.175281-1 8.188158-2-1.012048-1 8.572267-2-9.440700-2 9.020454-2-9.249215-2 9.700889-2-9.745349-2 1.069683-1-1.131896-1 1.518823-1-2.101596-1 1.874546-1-2.697551-1 2.300903-1-3.202575-1 2.961446-1-3.693835-1 4.017221-1-4.111455-1 5.888827-1-4.426641-1 1.008672+0-4.627890-1 3.086391+0-4.720347-1 9.320751+0-4.733892-1 1.000000+1-4.731196-1 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.399684-1 1.078856-6 3.523996-1 1.118997-6 4.269149-1 1.176258-6 5.576215-1 1.216201-6 6.720492-1 1.269928-6 8.624581-1 1.295540-6 9.708892-1 1.320351-6 1.088987+0 1.344386-6 1.217307+0 1.367671-6 1.356424+0 1.390228-6 1.506928+0 1.412080-6 1.669431+0 1.433249-6 1.844563+0 1.453756-6 2.032972+0 1.492869-6 2.452306+0 1.529575-6 2.932996+0 1.564023-6 3.480903+0 1.596351-6 4.102250+0 1.611762-6 4.443335+0 1.626691-6 4.807743+0 1.655616-6 5.613864+0 1.682733-6 6.512821+0 1.708155-6 7.515945+0 1.731989-6 8.631128+0 1.754333-6 9.866351+0 1.775280-6 1.122976+1 1.794918-6 1.272962+1 1.813329-6 1.437429+1 1.830589-6 1.617220+1 1.846770-6 1.813176+1 1.861940-6 2.026138+1 1.876162-6 2.256941+1 1.889495-6 2.506409+1 1.901995-6 2.775352+1 1.913713-6 3.064564+1 1.924699-6 3.374818+1 1.934999-6 3.706867+1 1.944654-6 4.061438+1 1.953706-6 4.439234+1 1.962193-6 4.840932+1 1.970149-6 5.267189+1 1.977608-6 5.718646+1 1.984600-6 6.195949+1 1.991156-6 6.699758+1 1.997302-6 7.230756+1 2.003064-6 7.789635+1 2.008465-6 8.377075+1 2.013529-6 8.993760+1 2.018277-6 9.640416+1 2.022728-6 1.031791+2 2.026900-6 1.102734+2 2.034724-6 1.260317+2 2.041570-6 1.433948+2 2.048000-6 1.641558+2 2.052801-6 1.836609+2 2.057387-6 2.066845+2 2.061400-6 2.314192+2 2.064911-6 2.574744+2 2.067984-6 2.843404+2 2.070672-6 3.114635+2 2.073024-6 3.383123+2 2.076883-6 3.894274+2 2.082399-6 4.797035+2 2.091017-6 6.659777+2 2.094633-6 7.605670+2 2.097204-6 8.330710+2 2.099776-6 9.092518+2 2.104919-6 1.069155+3 2.105562-6 1.089519+3 2.110062-6 1.231318+3 2.111830-6 1.285535+3 2.115205-6 1.384046+3 2.116973-6 1.431986+3 2.118660-6 1.474734+3 2.120348-6 1.514060+3 2.122598-6 1.560392+3 2.124768-6 1.597609+3 2.126777-6 1.624836+3 2.128464-6 1.641924+3 2.130634-6 1.655697+3 2.133527-6 1.659102+3 2.135938-6 1.648581+3 2.136833-6 1.641580+3 2.138876-6 1.619409+3 2.141159-6 1.584760+3 2.143588-6 1.537037+3 2.146036-6 1.478578+3 2.148117-6 1.421576+3 2.149179-6 1.390198+3 2.151367-6 1.321291+3 2.152996-6 1.266784+3 2.155406-6 1.182329+3 2.157801-6 1.095246+3 2.159416-6 1.035508+3 2.161492-6 9.583676+2 2.163742-6 8.753625+2 2.165550-6 8.098367+2 2.166635-6 7.712680+2 2.169207-6 6.827862+2 2.171778-6 5.994334+2 2.173305-6 5.528047+2 2.176017-6 4.758982+2 2.176921-6 4.520624+2 2.184142-6 2.969462+2 2.185674-6 2.724507+2 2.187207-6 2.509812+2 2.187850-6 2.428800+2 2.188975-6 2.299920+2 2.189819-6 2.214043+2 2.190926-6 2.115375+2 2.192097-6 2.028454+2 2.193260-6 1.959786+2 2.194324-6 1.912471+2 2.195155-6 1.885886+2 2.195700-6 1.873383+2 2.196236-6 1.864916+2 2.197285-6 1.859419+2 2.198308-6 1.868246+2 2.199300-6 1.890301+2 2.200260-6 1.924482+2 2.202122-6 2.027212+2 2.209101-6 2.868438+2 2.211719-6 3.387380+2 2.214009-6 3.943339+2 2.220643-6 6.161096+2 2.222846-6 7.121736+2 2.225993-6 8.712570+2 2.229187-6 1.060773+3 2.232258-6 1.271487+3 2.233894-6 1.395543+3 2.235529-6 1.527974+3 2.238274-6 1.769084+3 2.241018-6 2.033642+3 2.246850-6 2.668678+3 2.247494-6 2.744190+3 2.252339-6 3.340773+3 2.254108-6 3.568030+3 2.257485-6 4.009321+3 2.260273-6 4.374791+3 2.262974-6 4.723581+3 2.265762-6 5.071144+3 2.268463-6 5.389487+3 2.270865-6 5.651919+3 2.273518-6 5.914002+3 2.274295-6 5.984470+3 2.277511-6 6.241909+3 2.280023-6 6.401090+3 2.282907-6 6.534445+3 2.285327-6 6.603315+3 2.290590-6 6.613755+3 2.292091-6 6.581971+3 2.296251-6 6.417157+3 2.298864-6 6.259918+3 2.301397-6 6.072221+3 2.304184-6 5.830473+3 2.306886-6 5.566553+3 2.309287-6 5.312287+3 2.311603-6 5.053678+3 2.315119-6 4.644235+3 2.317864-6 4.317716+3 2.320951-6 3.950542+3 2.323353-6 3.669348+3 2.328842-6 3.056506+3 2.330729-6 2.858947+3 2.334331-6 2.504452+3 2.339133-6 2.082527+3 2.345705-6 1.603164+3 2.354454-6 1.129955+3 2.357349-6 1.009597+3 2.360232-6 9.049997+2 2.363104-6 8.143808+2 2.365965-6 7.360331+2 2.368815-6 6.683600+2 2.371653-6 6.098993+2 2.374481-6 5.593353+2 2.380113-6 4.772436+2 2.385702-6 4.146820+2 2.391247-6 3.660549+2 2.396749-6 3.274055+2 2.402208-6 2.959964+2 2.407624-6 2.699497+2 2.412997-6 2.479718+2 2.418329-6 2.291580+2 2.423619-6 2.128603+2 2.428868-6 1.986023+2 2.434076-6 1.860242+2 2.444410-6 1.647793+2 2.454583-6 1.476255+2 2.464597-6 1.335076+2 2.474454-6 1.217086+2 2.484158-6 1.117217+2 2.493709-6 1.031773+2 2.503112-6 9.579835+1 2.512367-6 8.937331+1 2.521478-6 8.373676+1 2.530447-6 7.875693+1 2.548104-6 7.030394+1 2.565209-6 6.347565+1 2.581780-6 5.786225+1 2.597833-6 5.318304+1 2.613384-6 4.923457+1 2.628449-6 4.586731+1 2.643043-6 4.296971+1 2.657182-6 4.045412+1 2.684574-6 3.623885+1 2.710255-6 3.291443+1 2.734331-6 3.024227+1 2.756902-6 2.805870+1 2.778063-6 2.624956+1 2.797901-6 2.473252+1 2.835097-6 2.225602+1 2.867643-6 2.040571+1 2.896121-6 1.899615+1 2.945958-6 1.688022+1 2.983336-6 1.552809+1 3.039402-6 1.379715+1 3.148803-6 1.110421+1 3.247851-6 9.198343+0 3.335303-6 7.724383+0 3.400892-6 6.655015+0 3.450083-6 5.828863+0 3.484671-6 5.204918+0 3.512918-6 4.645564+0 3.534103-6 4.179647+0 3.549992-6 3.792643+0 3.561908-6 3.475484+0 3.570846-6 3.220826+0 3.577549-6 3.020669+0 3.587604-6 2.708847+0 3.592631-6 2.550288+0 3.597658-6 2.392560+0 3.611293-6 1.994696+0 3.624224-6 1.730094+0 3.626647-6 1.702677+0 3.629070-6 1.684709+0 3.635737-6 1.693568+0 3.637959-6 1.718792+0 3.642403-6 1.808809+0 3.644625-6 1.875757+0 3.646848-6 1.958803+0 3.650551-6 2.136031+0 3.653213-6 2.295856+0 3.655552-6 2.460364+0 3.657769-6 2.638304+0 3.661003-6 2.938461+0 3.665083-6 3.390208+0 3.678682-6 5.542311+0 3.683892-6 6.645752+0 3.687941-6 7.610273+0 3.692819-6 8.891601+0 3.697148-6 1.012998+1 3.701520-6 1.146688+1 3.705599-6 1.278003+1 3.709567-6 1.410527+1 3.713923-6 1.559723+1 3.718235-6 1.709215+1 3.723617-6 1.894832+1 3.727402-6 2.022411+1 3.732089-6 2.174263+1 3.735735-6 2.285826+1 3.745179-6 2.538013+1 3.746221-6 2.561934+1 3.753512-6 2.704050+1 3.756568-6 2.749524+1 3.762401-6 2.811852+1 3.765643-6 2.832356+1 3.768584-6 2.842243+1 3.773410-6 2.840885+1 3.777350-6 2.824228+1 3.782522-6 2.782672+1 3.787510-6 2.723552+1 3.789172-6 2.700133+1 3.795918-6 2.588918+1 3.798167-6 2.546920+1 3.804913-6 2.409952+1 3.807161-6 2.361528+1 3.816156-6 2.160701+1 3.825150-6 1.958970+1 3.844536-6 1.568360+1 3.851882-6 1.444837+1 3.858998-6 1.339317+1 3.865892-6 1.249891+1 3.872570-6 1.174351+1 3.885510-6 1.054687+1 3.897641-6 9.678231+0 3.909014-6 9.025498+0 3.930338-6 8.078311+0 3.948996-6 7.433086+0 3.981649-6 6.530538+0 4.079635-6 4.419472+0 4.091854-6 4.164210+0 4.099718-6 3.997327+0 4.109759-6 3.779886+0 4.119801-6 3.556239+0 4.129842-6 3.325464+0 4.142212-6 3.031861+0 4.150451-6 2.832540+0 4.159958-6 2.602853+0 4.180436-6 2.143155+0 4.190676-6 1.956379+0 4.197394-6 1.859091+0 4.199633-6 1.831952+0 4.210175-6 1.744448+0 4.211430-6 1.738734+0 4.220216-6 1.728084+0 4.224140-6 1.739855+0 4.227886-6 1.760249+0 4.232968-6 1.801282+0 4.237663-6 1.851431+0 4.245451-6 1.955222+0 4.260553-6 2.191324+0 4.264330-6 2.249103+0 4.270939-6 2.341634+0 4.276605-6 2.408672+0 4.283214-6 2.469652+0 4.286676-6 2.494064+0 4.294538-6 2.533389+0 4.307008-6 2.581163+0 4.312584-6 2.618857+0 4.315414-6 2.647610+0 4.319128-6 2.699310+0 4.323007-6 2.774927+0 4.326088-6 2.854377+0 4.334700-6 3.193996+0 4.339867-6 3.501122+0 4.342195-6 3.669458+0 4.345521-6 3.945308+0 4.349488-6 4.332584+0 4.354326-6 4.896788+0 4.356718-6 5.215051+0 4.373372-6 8.179393+0 4.379641-6 9.623376+0 4.384622-6 1.088152+1 4.389613-6 1.222430+1 4.394264-6 1.353372+1 4.399231-6 1.497303+1 4.404076-6 1.639546+1 4.408823-6 1.778358+1 4.411940-6 1.868068+1 4.417354-6 2.018888+1 4.422213-6 2.146428+1 4.427263-6 2.268570+1 4.432193-6 2.375243+1 4.442099-6 2.544701+1 4.446660-6 2.600168+1 4.454877-6 2.661763+1 4.458349-6 2.672847+1 4.461498-6 2.675360+1 4.466665-6 2.664455+1 4.470885-6 2.642407+1 4.476423-6 2.597026+1 4.481764-6 2.537528+1 4.483544-6 2.514653+1 4.492856-6 2.374644+1 4.494186-6 2.352324+1 4.504829-6 2.160015+1 4.507490-6 2.109395+1 4.517304-6 1.920091+1 4.523717-6 1.797714+1 4.536757-6 1.561713+1 4.552117-6 1.315596+1 4.574471-6 1.020706+1 4.590537-6 8.460777+0 4.611749-6 6.558913+0 4.617190-6 6.155870+0 4.625613-6 5.620196+0 4.628421-6 5.469154+0 4.632614-6 5.272810+0 4.635905-6 5.145394+0 4.639661-6 5.031317+0 4.650929-6 4.918094+0 4.654297-6 4.959176+0 4.656926-6 5.017561+0 4.667471-6 5.500572+0 4.669490-6 5.640894+0 4.678710-6 6.485670+0 4.683899-6 7.109622+0 4.691333-6 8.185501+0 4.703933-6 1.045286+1 4.710487-6 1.181292+1 4.715855-6 1.299270+1 4.719772-6 1.387951+1 4.725704-6 1.524434+1 4.727681-6 1.570076+1 4.732194-6 1.673639+1 4.737432-6 1.791323+1 4.743550-6 1.922696+1 4.749033-6 2.032397+1 4.759910-6 2.219286+1 4.763898-6 2.275528+1 4.771512-6 2.362102+1 4.775032-6 2.392437+1 4.779050-6 2.419369+1 4.782064-6 2.434168+1 4.786584-6 2.447759+1 4.791104-6 2.451248+1 4.794495-6 2.447468+1 4.799582-6 2.432050+1 4.804669-6 2.405763+1 4.812839-6 2.343551+1 4.815562-6 2.318065+1 4.824156-6 2.225174+1 4.827020-6 2.190775+1 4.838478-6 2.042087+1 4.842286-6 1.990348+1 4.860666-6 1.741922+1 4.875318-6 1.562138+1 4.884982-6 1.458304+1 4.890536-6 1.404618+1 4.902296-6 1.305645+1 4.908155-6 1.263639+1 4.920803-6 1.188403+1 4.928231-6 1.153197+1 4.938086-6 1.115465+1 4.952044-6 1.076742+1 4.962760-6 1.056238+1 4.976247-6 1.038527+1 4.998058-6 1.020419+1 5.021228-6 1.003633+1 5.033482-6 9.926515+0 5.050292-6 9.740323+0 5.072420-6 9.440851+0 5.111389-6 8.862867+0 5.148969-6 8.373148+0 5.180519-6 8.044110+0 5.219562-6 7.715060+0 5.293051-6 7.226427+0 5.370647-6 6.820365+0 5.461207-6 6.434031+0 5.567436-6 6.055775+0 5.693940-6 5.678480+0 5.894869-6 5.175710+0 6.305931-6 4.356645+0 6.495099-6 4.019300+0 6.584365-6 3.859687+0 6.695591-6 3.643535+0 6.807088-6 3.384622+0 6.823761-6 3.355574+0 6.840434-6 3.335311+0 6.859448-6 3.325624+0 6.881199-6 3.334052+0 6.902949-6 3.362141+0 6.959518-6 3.478897+0 6.976197-6 3.507205+0 6.989925-6 3.523243+0 7.003654-6 3.531350+0 7.023834-6 3.527893+0 7.040506-6 3.511827+0 7.057179-6 3.485562+0 7.073852-6 3.451424+0 7.107197-6 3.369352+0 7.280061-6 2.942715+0 7.339143-6 2.805888+0 7.368514-6 2.754508+0 7.396019-6 2.727706+0 7.418472-6 2.725280+0 7.436737-6 2.736624+0 7.450364-6 2.752021+0 7.522825-6 2.870878+0 7.547528-6 2.894609+0 7.562349-6 2.898892+0 7.577170-6 2.895077+0 7.590805-6 2.884623+0 7.618062-6 2.846599+0 7.655198-6 2.771182+0 7.713624-6 2.645347+0 7.756891-6 2.569123+0 7.911001-6 2.357849+0 7.965897-6 2.298534+0 7.992487-6 2.277589+0 8.063458-6 2.240571+0 8.106424-6 2.217740+0 8.160011-6 2.173421+0 8.216028-6 2.108306+0 8.327235-6 1.972601+0 8.432014-6 1.870703+0 8.598796-6 1.729169+0 8.658053-6 1.678954+0 8.751755-6 1.596524+0 8.887632-6 1.471578+0 9.075255-6 1.315537+0 9.334868-6 1.113451+0 9.600000-6 9.168035-1 9.902108-6 7.071343-1 1.015711-5 5.445411-1 1.035142-5 4.326873-1 1.050903-5 3.498478-1 1.071519-5 2.523725-1 1.083782-5 2.008163-1 1.102681-5 1.315639-1 1.117009-5 8.815252-2 1.132848-5 5.050715-2 1.148192-5 2.493130-2 1.163056-5 1.124747-2 1.177456-5 9.207723-3 1.191406-5 1.852504-2 1.204920-5 3.886566-2 1.215000-5 6.200100-2 1.224252-5 8.970411-2 1.236642-5 1.337553-1 1.250090-5 1.676305-1 1.251550-5 1.687080-1 1.264480-5 1.536864-1 1.280325-5 1.082465-1 1.291776-5 7.740960-2 1.302153-5 5.403932-2 1.312207-5 3.600101-2 1.321945-5 2.319250-2 1.331380-5 1.556318-2 1.340520-5 1.312220-2 1.349374-5 1.577425-2 1.366875-5 3.598789-2 1.382611-5 7.273336-2 1.398894-5 1.320108-1 1.411824-5 1.966096-1 1.425076-5 2.811461-1 1.440000-5 4.011337-1 1.449146-5 4.893176-1 1.470984-5 7.475273-1 1.490092-5 1.035562+0 1.506812-5 1.344096+0 1.521442-5 1.664356+0 1.535296-5 2.017556+0 1.556645-5 2.663598+0 1.573447-5 3.272374+0 1.586048-5 3.800478+0 1.604949-5 4.723318+0 1.627848-5 6.073689+0 1.647832-5 7.503261+0 1.686190-5 1.110114+1 1.739880-5 1.885532+1 1.773546-5 2.618518+1 1.800000-5 3.394272+1 1.819701-5 4.128303+1 1.836229-5 4.879197+1 1.852798-5 5.785183+1 1.867296-5 6.731914+1 1.881678-5 7.847421+1 1.891082-5 8.692826+1 1.900794-5 9.682138+1 1.909292-5 1.066068+2 1.916833-5 1.163035+2 1.929742-5 1.355129+2 1.939501-5 1.526707+2 1.946821-5 1.673438+2 1.957801-5 1.928494+2 1.968781-5 2.235021+2 1.978473-5 2.559748+2 1.988165-5 2.949414+2 1.993010-5 3.174171+2 1.997856-5 3.422617+2 2.002702-5 3.698188+2 2.009656-5 4.149380+2 2.017240-5 4.733201+2 2.022850-5 5.241959+2 2.027829-5 5.761412+2 2.032808-5 6.358895+2 2.037325-5 6.983418+2 2.041470-5 7.640904+2 2.046315-5 8.537093+2 2.051161-5 9.607698+2 2.056007-5 1.090615+3 2.059345-5 1.197059+3 2.062682-5 1.320962+3 2.065699-5 1.451290+3 2.067661-5 1.547112+3 2.070151-5 1.683346+3 2.072640-5 1.838482+3 2.075129-5 2.015611+3 2.077619-5 2.218257+3 2.080108-5 2.450392+3 2.082598-5 2.716442+3 2.085988-5 3.142124+3 2.087118-5 3.302305+3 2.092556-5 4.222843+3 2.106383-5 8.027396+3 2.110637-5 9.720981+3 2.112804-5 1.068772+4 2.120716-5 1.479243+4 2.121365-5 1.516623+4 2.125910-5 1.790914+4 2.127695-5 1.903562+4 2.131753-5 2.165353+4 2.134594-5 2.349587+4 2.137078-5 2.508186+4 2.139817-5 2.677235+4 2.141914-5 2.800342+4 2.144269-5 2.929825+4 2.146868-5 3.059349+4 2.148764-5 3.143382+4 2.151492-5 3.246398+4 2.154641-5 3.336015+4 2.157317-5 3.385119+4 2.158461-5 3.398140+4 2.161279-5 3.409291+4 2.162796-5 3.402867+4 2.167627-5 3.325397+4 2.169950-5 3.258650+4 2.172320-5 3.172461+4 2.174310-5 3.087192+4 2.176762-5 2.967739+4 2.179453-5 2.821076+4 2.181513-5 2.699777+4 2.183826-5 2.556379+4 2.185758-5 2.432324+4 2.188242-5 2.269247+4 2.190839-5 2.097006+4 2.193436-5 1.925670+4 2.196358-5 1.737002+4 2.198630-5 1.595066+4 2.203824-5 1.292641+4 2.205610-5 1.197059+4 2.209019-5 1.027815+4 2.212914-5 8.564616+3 2.216362-5 7.244737+3 2.220983-5 5.751813+3 2.233185-5 3.094990+3 2.235897-5 2.704428+3 2.238609-5 2.369047+3 2.242676-5 1.953638+3 2.246743-5 1.624156+3 2.249455-5 1.442953+3 2.252167-5 1.287000+3 2.254878-5 1.152295+3 2.257590-5 1.035429+3 2.263013-5 8.441545+2 2.268437-5 6.953931+2 2.273860-5 5.769546+2 2.284706-5 4.007524+2 2.290130-5 3.336370+2 2.299279-5 2.423731+2 2.303951-5 2.042719+2 2.308179-5 1.739398+2 2.315293-5 1.307753+2 2.321111-5 1.020354+2 2.326635-5 7.966807+1 2.332306-5 6.125103+1 2.337976-5 4.701682+1 2.340812-5 4.133481+1 2.343647-5 3.653828+1 2.346483-5 3.257475+1 2.347901-5 3.088949+1 2.349318-5 2.939381+1 2.350874-5 2.796381+1 2.353208-5 2.621836+1 2.355541-5 2.493325+1 2.356991-5 2.435862+1 2.359165-5 2.380874+1 2.360796-5 2.363744+1 2.361702-5 2.363058+1 2.362404-5 2.366847+1 2.363720-5 2.384124+1 2.364872-5 2.410163+1 2.365880-5 2.441378+1 2.367533-5 2.509895+1 2.368884-5 2.582171+1 2.369897-5 2.646301+1 2.371226-5 2.743829+1 2.372454-5 2.847981+1 2.373873-5 2.985957+1 2.374481-5 3.051075+1 2.376291-5 3.268089+1 2.378046-5 3.513778+1 2.379923-5 3.819436+1 2.382227-5 4.263430+1 2.384531-5 4.795817+1 2.385572-5 5.069922+1 2.390329-5 6.648156+1 2.392492-5 7.586068+1 2.395128-5 8.968983+1 2.396813-5 1.001744+2 2.399591-5 1.208485+2 2.402369-5 1.466275+2 2.409021-5 2.367248+2 2.418168-5 4.616925+2 2.422141-5 6.132216+2 2.426021-5 8.029891+2 2.429447-5 1.010804+3 2.432038-5 1.196312+3 2.444011-5 2.423572+3 2.450272-5 3.327616+3 2.451357-5 3.501960+3 2.456633-5 4.416093+3 2.458563-5 4.773882+3 2.462246-5 5.482345+3 2.464882-5 6.002485+3 2.467541-5 6.530728+3 2.469096-5 6.838455+3 2.471649-5 7.336138+3 2.474401-5 7.855447+3 2.477238-5 8.362331+3 2.479842-5 8.793945+3 2.480585-5 8.909959+3 2.483539-5 9.336500+3 2.486420-5 9.691557+3 2.488070-5 9.865033+3 2.490900-5 1.010759+4 2.493587-5 1.027036+4 2.495346-5 1.034011+4 2.498284-5 1.039071+4 2.500726-5 1.037025+4 2.501880-5 1.034118+4 2.505882-5 1.014776+4 2.508827-5 9.919349+3 2.510550-5 9.754910+3 2.513377-5 9.440914+3 2.516551-5 9.031356+3 2.519203-5 8.651327+3 2.521759-5 8.259252+3 2.525375-5 7.674382+3 2.528887-5 7.086968+3 2.532816-5 6.425297+3 2.534126-5 6.206755+3 2.540767-5 5.140531+3 2.543519-5 4.728375+3 2.547686-5 4.146898+3 2.554179-5 3.354512+3 2.564751-5 2.368036+3 2.570138-5 1.997111+3 2.573164-5 1.822144+3 2.577076-5 1.627002+3 2.581164-5 1.455749+3 2.585373-5 1.308854+3 2.589070-5 1.200357+3 2.593039-5 1.101534+3 2.598787-5 9.843328+2 2.605553-5 8.759022+2 2.612786-5 7.849712+2 2.619932-5 7.127436+2 2.628955-5 6.387275+2 2.638450-5 5.751711+2 2.648871-5 5.172886+2 2.661923-5 4.576120+2 2.669211-5 4.293024+2 2.674951-5 4.092371+2 2.682431-5 3.858489+2 2.694668-5 3.539345+2 2.701030-5 3.403180+2 2.707550-5 3.284332+2 2.717906-5 3.138636+2 2.720166-5 3.113917+2 2.727335-5 3.052322+2 2.734357-5 3.016151+2 2.739554-5 3.003664+2 2.746983-5 3.003614+2 2.760283-5 3.035301+2 2.766690-5 3.053026+2 2.776720-5 3.067515+2 2.783286-5 3.062679+2 2.788766-5 3.048720+2 2.798895-5 3.001464+2 2.806942-5 2.949773+2 2.832387-5 2.774268+2 2.847073-5 2.694048+2 2.862441-5 2.627878+2 2.889727-5 2.534872+2 2.919234-5 2.444039+2 2.964985-5 2.297162+2 3.014804-5 2.160607+2 3.081485-5 2.014552+2 3.148617-5 1.892739+2 3.235937-5 1.761830+2 3.315584-5 1.663709+2 3.416535-5 1.558783+2 3.570000-5 1.430412+2 3.687305-5 1.350837+2 3.814922-5 1.276987+2 4.073803-5 1.156318+2 4.260645-5 1.084033+2 4.291952-5 1.075304+2 4.354566-5 1.063476+2 4.396308-5 1.053035+2 4.464002-5 1.031020+2 4.693146-5 9.761644+1 4.900000-5 9.361535+1 5.150000-5 8.956930+1 5.446934-5 8.583818+1 5.888436-5 8.169834+1 6.531306-5 7.715999+1 7.016342-5 7.393721+1 7.373605-5 7.115005+1 7.604850-5 6.912958+1 7.900000-5 6.614856+1 8.140606-5 6.339155+1 8.349394-5 6.071170+1 8.511381-5 5.845233+1 8.709636-5 5.547855+1 8.867088-5 5.290594+1 9.015711-5 5.031567+1 9.163127-5 4.765181+1 9.267380-5 4.572771+1 9.387772-5 4.347733+1 9.576205-5 4.001573+1 9.667576-5 3.882289+1 9.728831-5 3.878367+1 9.799189-5 3.982439+1 9.891428-5 4.257241+1 9.956350-5 4.507990+1 1.004495-4 4.911176+1 1.012946-4 5.368039+1 1.018405-4 5.706893+1 1.025873-4 6.235588+1 1.033779-4 6.891783+1 1.040000-4 7.490420+1 1.047756-4 8.356207+1 1.052127-4 8.912240+1 1.057832-4 9.724176+1 1.064437-4 1.080455+2 1.072017-4 1.226382+2 1.079129-4 1.389275+2 1.085805-4 1.570343+2 1.092069-4 1.770789+2 1.095055-4 1.878610+2 1.101489-4 2.142811+2 1.106265-4 2.372160+2 1.111350-4 2.654147+2 1.116118-4 2.961088+2 1.120587-4 3.293957+2 1.125863-4 3.755502+2 1.128705-4 4.041158+2 1.132388-4 4.457262+2 1.135841-4 4.902798+2 1.140117-4 5.545032+2 1.142112-4 5.885119+2 1.144956-4 6.423244+2 1.147623-4 6.993474+2 1.150124-4 7.596344+2 1.152468-4 8.232376+2 1.154665-4 8.902135+2 1.156725-4 9.606277+2 1.159264-4 1.059615+3 1.162165-4 1.193338+3 1.165348-4 1.373592+3 1.168133-4 1.570650+3 1.170570-4 1.784237+3 1.172702-4 2.012876+3 1.174568-4 2.253818+3 1.176200-4 2.503304+3 1.177629-4 2.757003+3 1.178879-4 3.010490+3 1.181066-4 3.537267+3 1.182707-4 4.013615+3 1.184860-4 4.763723+3 1.189090-4 6.735586+3 1.192686-4 9.024955+3 1.194154-4 1.013518+4 1.195342-4 1.110876+4 1.197125-4 1.268944+4 1.198915-4 1.440925+4 1.201844-4 1.745159+4 1.202264-4 1.790378+4 1.204781-4 2.065217+4 1.205935-4 2.190827+4 1.207005-4 2.305269+4 1.208456-4 2.455305+4 1.209740-4 2.580751+4 1.211183-4 2.710532+4 1.212388-4 2.807820+4 1.213550-4 2.890379+4 1.214668-4 2.958097+4 1.215627-4 3.006180+4 1.217043-4 3.058983+4 1.218756-4 3.092123+4 1.220052-4 3.094001+4 1.221400-4 3.074587+4 1.222819-4 3.031068+4 1.223074-4 3.020804+4 1.225765-4 2.870864+4 1.227234-4 2.760429+4 1.228722-4 2.632074+4 1.230183-4 2.493643+4 1.231429-4 2.368900+4 1.232891-4 2.218396+4 1.234799-4 2.021979+4 1.239397-4 1.599039+4 1.241022-4 1.481299+4 1.242351-4 1.401318+4 1.243314-4 1.353201+4 1.244443-4 1.307762+4 1.244651-4 1.300703+4 1.246185-4 1.261213+4 1.247269-4 1.246496+4 1.248304-4 1.242251+4 1.249092-4 1.245149+4 1.250191-4 1.257477+4 1.251475-4 1.282991+4 1.252819-4 1.320824+4 1.254526-4 1.381915+4 1.259439-4 1.596536+4 1.261344-4 1.677112+4 1.262625-4 1.725528+4 1.265670-4 1.812564+4 1.267016-4 1.835586+4 1.269015-4 1.850101+4 1.270532-4 1.844951+4 1.272100-4 1.825180+4 1.273151-4 1.804048+4 1.274203-4 1.776976+4 1.275331-4 1.741773+4 1.276041-4 1.716644+4 1.277633-4 1.652777+4 1.278106-4 1.632017+4 1.279863-4 1.549050+4 1.280960-4 1.493433+4 1.282842-4 1.393455+4 1.283819-4 1.340132+4 1.286888-4 1.171634+4 1.292859-4 8.697276+3 1.298854-4 6.342508+3 1.300248-4 5.903794+3 1.302364-4 5.311971+3 1.304390-4 4.822480+3 1.306676-4 4.351681+3 1.308848-4 3.973773+3 1.311220-4 3.626607+3 1.314733-4 3.214061+3 1.318282-4 2.890788+3 1.320517-4 2.723410+3 1.322751-4 2.577755+3 1.326501-4 2.371411+3 1.331641-4 2.144978+3 1.337851-4 1.930278+3 1.344061-4 1.759340+3 1.351137-4 1.602549+3 1.354367-4 1.541594+3 1.359478-4 1.456350+3 1.363719-4 1.394600+3 1.368912-4 1.328373+3 1.373868-4 1.273333+3 1.380384-4 1.211044+3 1.386328-4 1.162482+3 1.391276-4 1.127070+3 1.398578-4 1.081763+3 1.403931-4 1.052996+3 1.411469-4 1.017753+3 1.423927-4 9.700228+2 1.438500-4 9.260912+2 1.451720-4 8.938191+2 1.465000-4 8.664103+2 1.481665-4 8.368775+2 1.500000-4 8.087990+2 1.531838-4 7.669637+2 1.567344-4 7.267584+2 1.621810-4 6.760709+2 1.667067-4 6.408269+2 1.713438-4 6.101292+2 1.761253-4 5.826352+2 1.808814-4 5.591779+2 1.851607-4 5.404476+2 1.905684-4 5.199690+2 2.021273-4 4.848673+2 2.219473-4 4.393097+2 2.272011-4 4.255770+2 2.305615-4 4.166272+2 2.322740-4 4.148387+2 2.357534-4 4.138538+2 2.393883-4 4.078112+2 2.405721-4 4.073999+2 2.418551-4 4.088426+2 2.452534-4 4.175355+2 2.493874-4 4.259186+2 2.578048-4 4.349109+2 2.647251-4 4.400738+2 2.770129-4 4.574192+2 2.985383-4 4.780890+2 3.195429-4 4.913981+2 3.262675-4 4.955453+2 3.305095-4 5.013037+2 3.372201-4 5.138741+2 3.527768-4 5.344814+2 3.785515-4 5.601554+2 4.109579-4 5.862603+2 4.467639-4 6.092442+2 4.776549-4 6.251156+2 5.249018-4 6.424637+2 5.754399-4 6.521309+2 6.246842-4 6.527710+2 6.732582-4 6.447965+2 7.147598-4 6.302337+2 7.535390-4 6.093259+2 7.957283-4 5.797804+2 8.315532-4 5.477065+2 8.619236-4 5.143449+2 8.848608-4 4.842096+2 9.080819-4 4.485453+2 9.258966-4 4.169039+2 9.403278-4 3.876553+2 9.533689-4 3.577320+2 9.622139-4 3.351185+2 9.699644-4 3.133669+2 9.789280-4 2.856125+2 9.837140-4 2.701677+2 9.899655-4 2.551933+2 9.951506-4 2.665355+2 9.998582-4 3.361269+2 1.001060-3 3.703898+2 1.001499-3 3.851641+2 1.004772-3 5.401741+2 1.006429-3 6.541158+2 1.008895-3 8.738846+2 1.011527-3 1.175959+3 1.013668-3 1.466631+3 1.014194-3 1.543026+3 1.016278-3 1.857846+3 1.018184-3 2.151806+3 1.020173-3 2.448659+3 1.020784-3 2.535347+3 1.023747-3 2.905278+3 1.025815-3 3.100342+3 1.026628-3 3.160777+3 1.027740-3 3.228371+3 1.028972-3 3.283368+3 1.030251-3 3.319653+3 1.031238-3 3.334600+3 1.032407-3 3.339534+3 1.033378-3 3.334745+3 1.034854-3 3.315455+3 1.036368-3 3.285176+3 1.043449-3 3.106133+3 1.047139-3 2.999839+3 1.048636-3 2.945278+3 1.050224-3 2.875970+3 1.053040-3 2.717529+3 1.053443-3 2.690870+3 1.056406-3 2.466375+3 1.058471-3 2.285329+3 1.060685-3 2.078409+3 1.061770-3 1.975385+3 1.063415-3 1.820943+3 1.068499-3 1.396540+3 1.071042-3 1.232130+3 1.073985-3 1.087764+3 1.076033-3 1.014857+3 1.078076-3 9.618611+2 1.081739-3 9.062765+2 1.085476-3 8.856643+2 1.089224-3 8.857725+2 1.095000-3 9.033365+2 1.106396-3 9.490829+2 1.116859-3 9.885302+2 1.128496-3 1.029089+3 1.141260-3 1.069461+3 1.154782-3 1.107195+3 1.173464-3 1.152889+3 1.196326-3 1.202507+3 1.220464-3 1.249121+3 1.242788-3 1.283825+3 1.265524-3 1.306892+3 1.281422-3 1.313731+3 1.313672-3 1.310767+3 1.319185-3 1.314232+3 1.327448-3 1.327247+3 1.337639-3 1.355550+3 1.356018-3 1.414150+3 1.373902-3 1.461068+3 1.381499-3 1.477983+3 1.391434-3 1.496242+3 1.405212-3 1.514180+3 1.430606-3 1.536394+3 1.446431-3 1.556880+3 1.489322-3 1.630708+3 1.500781-3 1.646992+3 1.516853-3 1.664953+3 1.539926-3 1.683018+3 1.562035-3 1.694030+3 1.609012-3 1.704922+3 1.619819-3 1.713086+3 1.636963-3 1.735626+3 1.651710-3 1.757645+3 1.665728-3 1.774832+3 1.682166-3 1.789280+3 1.706999-3 1.804194+3 1.773169-3 1.829870+3 1.844778-3 1.845743+3 1.935824-3 1.855196+3 2.028665-3 1.856207+3 2.168502-3 1.843331+3 2.339700-3 1.819787+3 2.459129-3 1.796543+3 2.646167-3 1.752789+3 2.856087-3 1.700414+3 3.064002-3 1.647322+3 3.273624-3 1.590459+3 3.560442-3 1.512790+3 3.717900-3 1.471595+3 4.063556-3 1.380323+3 4.235699-3 1.336096+3 4.440519-3 1.284664+3 4.643816-3 1.233859+3 4.861309-3 1.180170+3 5.055336-3 1.132496+3 5.231447-3 1.088790+3 5.387783-3 1.049356+3 5.528377-3 1.012946+3 5.657150-3 9.784383+2 5.774212-3 9.456611+2 5.868249-3 9.177842+2 5.949161-3 8.920282+2 6.025340-3 8.658016+2 6.084349-3 8.436472+2 6.136626-3 8.220718+2 6.181920-3 8.011999+2 6.225724-3 7.780535+2 6.260352-3 7.567105+2 6.295612-3 7.314678+2 6.344593-3 6.918912+2 6.381700-3 6.640083+2 6.403105-3 6.520669+2 6.411568-3 6.486211+2 6.425259-3 6.448386+2 6.444475-3 6.435486+2 6.467050-3 6.480291+2 6.486800-3 6.566159+2 6.515288-3 6.743639+2 6.571846-3 7.145324+2 6.595162-3 7.288150+2 6.613600-3 7.384145+2 6.641161-3 7.498959+2 6.671266-3 7.588773+2 6.705069-3 7.653176+2 6.746808-3 7.690519+2 6.786244-3 7.689671+2 6.822681-3 7.659928+2 6.884757-3 7.554856+2 6.937861-3 7.452893+2 6.970937-3 7.420688+2 7.004232-3 7.435561+2 7.035631-3 7.498423+2 7.073666-3 7.624604+2 7.142902-3 7.888691+2 7.169475-3 7.970478+2 7.195802-3 8.033071+2 7.225861-3 8.082280+2 7.284772-3 8.129248+2 7.343260-3 8.167379+2 7.391371-3 8.240051+2 7.438311-3 8.358058+2 7.525493-3 8.619995+2 7.589131-3 8.771582+2 7.633820-3 8.848816+2 7.688352-3 8.918129+2 7.823804-3 9.021776+2 7.974781-3 9.074953+2 8.164551-3 9.089600+2 8.408655-3 9.047801+2 8.715799-3 8.942094+2 9.054719-3 8.778821+2 9.515629-3 8.509643+2 1.007289-2 8.156742+2 1.078675-2 7.691832+2 1.174079-2 7.093215+2 1.279013-2 6.492831+2 1.414910-2 5.808872+2 1.614750-2 4.978396+2 1.762388-2 4.475535+2 1.980758-2 3.858190+2 2.209217-2 3.334197+2 2.397108-2 2.971388+2 2.590742-2 2.647795+2 2.801100-2 2.345071+2 3.045442-2 2.048763+2 3.412758-2 1.694265+2 3.644357-2 1.511551+2 3.845773-2 1.369055+2 4.006272-2 1.262133+2 4.120975-2 1.187015+2 4.215064-2 1.124121+2 4.285653-2 1.074123+2 4.315508-2 1.051398+2 4.343830-2 1.028283+2 4.367661-2 1.007004+2 4.387651-2 9.872798+1 4.416568-2 9.548505+1 4.477135-2 8.805439+1 4.493633-2 8.657559+1 4.507207-2 8.579105+1 4.518559-2 8.548429+1 4.535234-2 8.562042+1 4.550327-2 8.627669+1 4.576554-2 8.820226+1 4.609597-2 9.094826+1 4.634675-2 9.264305+1 4.665889-2 9.407715+1 4.702877-2 9.501514+1 4.750975-2 9.550374+1 4.803213-2 9.551792+1 4.881485-2 9.500716+1 5.011872-2 9.341050+1 5.145799-2 9.127730+1 5.373942-2 8.709911+1 5.680697-2 8.126873+1 6.021803-2 7.504723+1 6.470495-2 6.754634+1 7.018704-2 5.953794+1 7.569418-2 5.266221+1 8.329616-2 4.481627+1 9.891518-2 3.325503+1 1.123764-1 2.652272+1 1.355944-1 1.884136+1 1.894865-1 1.016865+1 2.267467-1 7.262459+0 2.806241-1 4.834008+0 3.888224-1 2.571165+0 5.761132-1 1.191953+0 9.339260-1 4.596059-1 1.696098+0 1.404435-1 5.122134+0 1.545125-2 1.546860+1 1.694823-3 4.671441+1 1.858412-4 1.410753+2 2.037718-5 4.260405+2 2.234314-6 1.584893+3 1.614530-7 5.011872+3 1.614530-8 1.584893+4 1.614530-9 5.011872+4 1.61453-10 1.000000+5 4.05552-11 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.427900-6 1.258900-6 3.847900-6 1.584900-6 6.098600-6 1.995300-6 9.665600-6 2.511900-6 1.531900-5 3.162300-6 2.427900-5 3.981100-6 3.847900-5 5.011900-6 6.098500-5 6.309600-6 9.665300-5 7.943300-6 1.531800-4 1.000000-5 2.427800-4 1.258900-5 3.847700-4 1.584900-5 6.098100-4 1.995300-5 9.664000-4 2.511900-5 1.530800-3 3.162300-5 2.424700-3 3.981100-5 3.841100-3 5.011900-5 6.085500-3 6.309600-5 9.642100-3 7.943300-5 1.525900-2 1.000000-4 2.413600-2 1.258900-4 3.812200-2 1.584900-4 6.009200-2 1.995300-4 9.441800-2 2.511900-4 1.476800-1 3.162300-4 2.293000-1 3.981100-4 3.511000-1 5.011900-4 5.274800-1 6.309600-4 7.723900-1 7.943300-4 1.095200+0 1.000000-3 1.499800+0 1.258900-3 1.991200+0 1.584900-3 2.593900+0 1.995300-3 3.347800+0 2.511900-3 4.284200+0 3.162300-3 5.417800+0 3.981100-3 6.761800+0 5.011900-3 8.309600+0 6.309600-3 1.000700+1 7.943300-3 1.183600+1 1.000000-2 1.380800+1 1.258900-2 1.593200+1 1.584900-2 1.812000+1 1.995300-2 2.030100+1 2.511900-2 2.221400+1 3.162300-2 2.389600+1 3.981100-2 2.521700+1 5.011900-2 2.616600+1 6.309600-2 2.671700+1 7.943300-2 2.682000+1 1.000000-1 2.650100+1 1.258900-1 2.578000+1 1.584900-1 2.475300+1 1.995300-1 2.348700+1 2.511900-1 2.205300+1 3.162300-1 2.051400+1 3.981100-1 1.892600+1 5.011900-1 1.733800+1 6.309600-1 1.577400+1 7.943300-1 1.425800+1 1.000000+0 1.280500+1 1.258900+0 1.142400+1 1.584900+0 1.012800+1 1.995300+0 8.920300+0 2.511900+0 7.805800+0 3.162300+0 6.788200+0 3.981100+0 5.868300+0 5.011900+0 5.044500+0 6.309600+0 4.313700+0 7.943300+0 3.671000+0 1.000000+1 3.110200+0 1.258900+1 2.624500+0 1.584900+1 2.206500+0 1.995300+1 1.848900+0 2.511900+1 1.544700+0 3.162300+1 1.287000+0 3.981100+1 1.069700+0 5.011900+1 8.870600-1 6.309600+1 7.341700-1 7.943300+1 6.065200-1 1.000000+2 5.002400-1 1.258900+2 4.119600-1 1.584900+2 3.387900-1 1.995300+2 2.782600-1 2.511900+2 2.282700-1 3.162300+2 1.870700-1 3.981100+2 1.531400-1 5.011900+2 1.252500-1 6.309600+2 1.023500-1 7.943300+2 8.357300-2 1.000000+3 6.818600-2 1.258900+3 5.559100-2 1.584900+3 4.529200-2 1.995300+3 3.687700-2 2.511900+3 3.000700-2 3.162300+3 2.440300-2 3.981100+3 1.983500-2 5.011900+3 1.611300-2 6.309600+3 1.308300-2 7.943300+3 1.061800-2 1.000000+4 8.613600-3 1.258900+4 6.984400-3 1.584900+4 5.660900-3 1.995300+4 4.586400-3 2.511900+4 3.714400-3 3.162300+4 3.007100-3 3.981100+4 2.433600-3 5.011900+4 1.968800-3 6.309600+4 1.592200-3 7.943300+4 1.287300-3 1.000000+5 1.040400-3 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159553-4 3.981072-4 3.976785-4 5.011872-4 5.005114-4 6.309573-4 6.298971-4 7.943282-4 7.926741-4 1.000000-3 9.974219-4 1.258925-3 1.254910-3 1.584893-3 1.578620-3 1.995262-3 1.985419-3 2.511886-3 2.496414-3 3.162278-3 3.137979-3 3.981072-3 3.942970-3 5.011872-3 4.952270-3 6.309573-3 6.216565-3 7.943282-3 7.798828-3 1.000000-2 9.775321-3 1.258925-2 1.223980-2 1.584893-2 1.530583-2 1.995262-2 1.911584-2 2.511886-2 2.383547-2 3.162278-2 2.966709-2 3.981072-2 3.684409-2 5.011872-2 4.564046-2 6.309573-2 5.637964-2 7.943282-2 6.945450-2 1.000000-1 8.527298-2 1.258925-1 1.043849-1 1.584893-1 1.273625-1 1.995262-1 1.548448-1 2.511886-1 1.876602-1 3.162278-1 2.266810-1 3.981072-1 2.729392-1 5.011872-1 3.276192-1 6.309573-1 3.921381-1 7.943282-1 4.680572-1 1.000000+0 5.575092-1 1.258925+0 6.628883-1 1.584893+0 7.871919-1 1.995262+0 9.342863-1 2.511886+0 1.108820+0 3.162278+0 1.316560+0 3.981072+0 1.564536+0 5.011872+0 1.861334+0 6.309573+0 2.217541+0 7.943282+0 2.646136+0 1.000000+1 3.162698+0 1.258925+1 3.786749+0 1.584893+1 4.541900+0 1.995262+1 5.457095+0 2.511886+1 6.567968+0 3.162278+1 7.917877+0 3.981072+1 9.560437+0 5.011872+1 1.156113+1 6.309573+1 1.400078+1 7.943282+1 1.697845+1 1.000000+2 2.061578+1 1.258925+2 2.506294+1 1.584893+2 3.050458+1 1.995262+2 3.716803+1 2.511886+2 4.533322+1 3.162278+2 5.534582+1 3.981072+2 6.763020+1 5.011872+2 8.271363+1 6.309573+2 1.012425+2 7.943282+2 1.240189+2 1.000000+3 1.520278+2 1.258925+3 1.864910+2 1.584893+3 2.289211+2 1.995262+3 2.811762+2 2.511886+3 3.455641+2 3.162278+3 4.249364+2 3.981072+3 5.228242+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090816-9 2.511886-5 1.728589-9 3.162278-5 2.739448-9 3.981072-5 4.341655-9 5.011872-5 6.881039-9 6.309573-5 1.090553-8 7.943282-5 1.727802-8 1.000000-4 2.737530-8 1.258925-4 4.336411-8 1.584893-4 6.866849-8 1.995262-4 1.087050-7 2.511886-4 1.719939-7 3.162278-4 2.725045-7 3.981072-4 4.287074-7 5.011872-4 6.758300-7 6.309573-4 1.060225-6 7.943282-4 1.654103-6 1.000000-3 2.578070-6 1.258925-3 4.015397-6 1.584893-3 6.273307-6 1.995262-3 9.843363-6 2.511886-3 1.547229-5 3.162278-3 2.429845-5 3.981072-3 3.810127-5 5.011872-3 5.960219-5 6.309573-3 9.300855-5 7.943282-3 1.444545-4 1.000000-2 2.246790-4 1.258925-2 3.494538-4 1.584893-2 5.431017-4 1.995262-2 8.367811-4 2.511886-2 1.283394-3 3.162278-2 1.955688-3 3.981072-2 2.966629-3 5.011872-2 4.478259-3 6.309573-2 6.716091-3 7.943282-2 9.978325-3 1.000000-1 1.472702-2 1.258925-1 2.150765-2 1.584893-1 3.112678-2 1.995262-1 4.468142-2 2.511886-1 6.352846-2 3.162278-1 8.954679-2 3.981072-1 1.251679-1 5.011872-1 1.735681-1 6.309573-1 2.388193-1 7.943282-1 3.262711-1 1.000000+0 4.424908-1 1.258925+0 5.960371-1 1.584893+0 7.977013-1 1.995262+0 1.060976+0 2.511886+0 1.403066+0 3.162278+0 1.845717+0 3.981072+0 2.416536+0 5.011872+0 3.150538+0 6.309573+0 4.092033+0 7.943282+0 5.297146+0 1.000000+1 6.837302+0 1.258925+1 8.802505+0 1.584893+1 1.130703+1 1.995262+1 1.449553+1 2.511886+1 1.855090+1 3.162278+1 2.370490+1 3.981072+1 3.025028+1 5.011872+1 3.855759+1 6.309573+1 4.909495+1 7.943282+1 6.245437+1 1.000000+2 7.938422+1 1.258925+2 1.008296+2 1.584893+2 1.279847+2 1.995262+2 1.623582+2 2.511886+2 2.058554+2 3.162278+2 2.608819+2 3.981072+2 3.304770+2 5.011872+2 4.184736+2 6.309573+2 5.297149+2 7.943282+2 6.703093+2 1.000000+3 8.479722+2 1.258925+3 1.072434+3 1.584893+3 1.355972+3 1.995262+3 1.714086+3 2.511886+3 2.166322+3 3.162278+3 2.737341+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.030000-6 3.183855+6 5.500000-6 2.107140+6 5.888437-6 1.528697+6 6.350000-6 1.062928+6 6.760830-6 7.803448+5 7.200000-6 5.683160+5 7.673615-6 4.092471+5 8.128305-6 3.021659+5 8.350000-6 2.614379+5 8.350000-6 5.192702+5 8.609938-6 4.743804+5 8.709636-6 4.597443+5 8.880000-6 4.365317+5 8.880000-6 6.172050+5 8.912509-6 6.126966+5 9.120108-6 5.870270+5 9.225714-6 5.754732+5 9.440609-6 5.553920+5 9.600000-6 5.426407+5 9.700000-6 5.358514+5 9.930000-6 5.225019+5 1.000000-5 5.191602+5 1.023293-5 5.100144+5 1.035142-5 5.066449+5 1.060000-5 5.015078+5 1.071519-5 5.001517+5 1.100000-5 4.991491+5 1.110000-5 4.995297+5 1.135011-5 5.021583+5 1.150000-5 5.048193+5 1.165000-5 5.081616+5 1.180000-5 5.118466+5 1.190000-5 5.148258+5 1.216186-5 5.239547+5 1.230269-5 5.291688+5 1.240000-5 5.335075+5 1.264200-5 5.447311+5 1.273503-5 5.492033+5 1.290000-5 5.576894+5 1.310000-5 5.690510+5 1.330000-5 5.807256+5 1.333521-5 5.828996+5 1.350000-5 5.932589+5 1.357000-5 5.979370+5 1.380384-5 6.138748+5 1.396368-5 6.250102+5 1.410000-5 6.349390+5 1.428894-5 6.489640+5 1.440000-5 6.576276+5 1.462177-5 6.752357+5 1.470000-5 6.816845+5 1.500000-5 7.068565+5 1.513561-5 7.184444+5 1.531087-5 7.340486+5 1.548817-5 7.500812+5 1.570000-5 7.699375+5 1.610000-5 8.083049+5 1.640590-5 8.383809+5 1.659587-5 8.578103+5 1.717908-5 9.202630+5 1.800000-5 1.012228+6 1.819701-5 1.035000+6 2.070000-5 1.350106+6 2.162719-5 1.477829+6 2.187762-5 1.512584+6 2.213095-5 1.547665+6 2.350000-5 1.744058+6 2.400000-5 1.816666+6 2.483133-5 1.938094+6 2.511886-5 1.980926+6 2.546000-5 2.030799+6 2.546000-5 1.695460+7 2.570396-5 1.642950+7 2.630268-5 1.524752+7 2.660725-5 1.470058+7 2.722701-5 1.368525+7 2.730000-5 1.357773+7 2.800000-5 1.261934+7 2.818383-5 1.238886+7 2.896000-5 1.149760+7 2.896000-5 1.851096+7 2.900000-5 1.843305+7 2.985383-5 1.691645+7 3.054921-5 1.583286+7 3.162278-5 1.438810+7 3.198895-5 1.394948+7 3.235937-5 1.353452+7 3.350000-5 1.240681+7 3.427678-5 1.174327+7 3.548134-5 1.085608+7 3.570000-5 1.071075+7 3.630781-5 1.033135+7 3.758374-5 9.634714+6 3.801894-5 9.423610+6 3.850000-5 9.203525+6 4.000000-5 8.604074+6 4.073803-5 8.350003+6 4.168694-5 8.056797+6 4.216965-5 7.924058+6 4.265795-5 7.797858+6 4.365158-5 7.561889+6 4.518559-5 7.250984+6 4.570882-5 7.161251+6 4.627000-5 7.069107+6 4.627000-5 7.123999+6 4.677351-5 7.048180+6 4.841724-5 6.829309+6 4.900000-5 6.765026+6 5.011872-5 6.649478+6 5.150000-5 6.524166+6 5.188000-5 6.494612+6 5.248075-5 6.451626+6 5.308844-5 6.408529+6 5.432503-5 6.326144+6 5.559043-5 6.257083+6 5.580000-5 6.245502+6 5.650000-5 6.208747+6 5.688529-5 6.188223+6 5.754399-5 6.155791+6 5.821032-5 6.126546+6 5.888437-5 6.099032+6 5.900000-5 6.094525+6 5.956621-5 6.070217+6 6.025596-5 6.039613+6 6.070000-5 6.021588+6 6.165950-5 5.984937+6 6.237348-5 5.960277+6 6.309573-5 5.933126+6 6.382635-5 5.905167+6 6.531306-5 5.852814+6 6.606934-5 5.828157+6 6.683439-5 5.801810+6 6.800000-5 5.759518+6 6.918310-5 5.719053+6 7.000000-5 5.693451+6 7.079458-5 5.666526+6 7.161434-5 5.636855+6 7.244360-5 5.607893+6 7.328245-5 5.580370+6 7.413102-5 5.553291+6 7.500000-5 5.526835+6 7.585776-5 5.498047+6 7.800000-5 5.424787+6 7.900000-5 5.392630+6 8.035261-5 5.351127+6 8.128305-5 5.320919+6 8.222426-5 5.289052+6 8.609938-5 5.167946+6 8.650000-5 5.156174+6 8.709636-5 5.138999+6 8.810489-5 5.107415+6 9.015711-5 5.041052+6 9.440609-5 4.914038+6 9.500000-5 4.897231+6 9.549926-5 4.882453+6 9.900000-5 4.773398+6 1.000000-4 4.743679+6 1.011579-4 4.710184+6 1.023293-4 4.676826+6 1.040000-4 4.623274+6 1.060000-4 4.561431+6 1.083927-4 4.490580+6 1.096478-4 4.454530+6 1.100000-4 4.444046+6 1.135011-4 4.334872+6 1.141600-4 4.315116+6 1.161449-4 4.257037+6 1.174898-4 4.216586+6 1.202264-4 4.132379+6 1.230269-4 4.050099+6 1.244515-4 4.009743+6 1.260000-4 3.965042+6 1.305900-4 3.831093+6 1.305900-4 4.444575+6 1.324000-4 4.543825+6 1.330000-4 4.581069+6 1.333521-4 4.604629+6 1.340000-4 4.645896+6 1.348000-4 4.695896+6 1.350000-4 4.707475+6 1.350500-4 4.710418+6 1.350500-4 5.126962+6 1.354000-4 5.162838+6 1.355000-4 5.172489+6 1.360000-4 5.224162+6 1.367000-4 5.293860+6 1.373000-4 5.351013+6 1.375000-4 5.368522+6 1.380384-4 5.416006+6 1.385000-4 5.451980+6 1.387700-4 5.472539+6 1.393000-4 5.507690+6 1.395000-4 5.520317+6 1.400000-4 5.546602+6 1.403000-4 5.561180+6 1.407000-4 5.576342+6 1.411000-4 5.589255+6 1.415000-4 5.598302+6 1.419000-4 5.604719+6 1.422000-4 5.606879+6 1.427000-4 5.607201+6 1.428894-4 5.605854+6 1.435000-4 5.597554+6 1.442000-4 5.578189+6 1.445440-4 5.566228+6 1.450000-4 5.546936+6 1.457000-4 5.512187+6 1.458000-4 5.506620+6 1.465000-4 5.463267+6 1.472000-4 5.416411+6 1.473000-4 5.409284+6 1.479108-4 5.362916+6 1.480000-4 5.356214+6 1.481000-4 5.348727+6 1.485000-4 5.316840+6 1.492000-4 5.259430+6 1.500000-4 5.191097+6 1.505000-4 5.147217+6 1.520000-4 5.013302+6 1.535000-4 4.877405+6 1.548817-4 4.755659+6 1.550000-4 4.745192+6 1.566751-4 4.598977+6 1.570000-4 4.571713+6 1.584893-4 4.448959+6 1.590000-4 4.407323+6 1.621810-4 4.162383+6 1.640590-4 4.029514+6 1.650000-4 3.966439+6 1.659587-4 3.903646+6 1.693900-4 3.694732+6 1.698244-4 3.670404+6 1.720000-4 3.551585+6 1.740000-4 3.451037+6 1.750000-4 3.403803+6 1.760000-4 3.358488+6 1.778279-4 3.280365+6 1.780000-4 3.273097+6 1.800000-4 3.193726+6 1.810000-4 3.156359+6 1.820000-4 3.120490+6 1.826000-4 3.099896+6 1.835000-4 3.068929+6 1.840772-4 3.049723+6 1.842000-4 3.045667+6 1.858000-4 2.995211+6 1.865000-4 2.974026+6 1.880000-4 2.930832+6 1.885000-4 2.916953+6 1.900000-4 2.877177+6 1.905461-4 2.863227+6 1.922000-4 2.822189+6 1.927525-4 2.809010+6 1.945000-4 2.768298+6 1.950000-4 2.757088+6 1.965000-4 2.724974+6 1.973000-4 2.708508+6 1.990000-4 2.675270+6 2.000000-4 2.656523+6 2.010000-4 2.638597+6 2.020000-4 2.621284+6 2.030000-4 2.604727+6 2.041738-4 2.585981+6 2.050000-4 2.572599+6 2.065380-4 2.549402+6 2.070000-4 2.542528+6 2.080000-4 2.528161+6 2.089296-4 2.515438+6 2.100000-4 2.500354+6 2.113489-4 2.482176+6 2.120000-4 2.473522+6 2.128000-4 2.463357+6 2.162719-4 2.421875+6 2.170000-4 2.413703+6 2.190000-4 2.392430+6 2.205000-4 2.376409+6 2.213095-4 2.368167+6 2.238721-4 2.342936+6 2.260000-4 2.323163+6 2.264644-4 2.319058+6 2.344229-4 2.250984+6 2.350000-4 2.246537+6 2.371374-4 2.229952+6 2.398700-4 2.209399+6 2.398700-4 2.532869+6 2.398833-4 2.532765+6 2.426610-4 2.511745+6 2.450000-4 2.495012+6 2.454709-4 2.491572+6 2.500000-4 2.459158+6 2.540973-4 2.431050+6 2.600160-4 2.392888+6 2.630268-4 2.374747+6 2.650100-4 2.362172+6 2.650100-4 2.456213+6 2.691535-4 2.431247+6 2.722701-4 2.412539+6 2.754229-4 2.393686+6 2.786121-4 2.375696+6 2.800000-4 2.367819+6 2.818383-4 2.357072+6 2.884032-4 2.319906+6 2.900000-4 2.310898+6 2.951209-4 2.281814+6 2.985383-4 2.263634+6 3.000000-4 2.255844+6 3.019952-4 2.244889+6 3.090295-4 2.207497+6 3.100000-4 2.202509+6 3.126079-4 2.188275+6 3.200000-4 2.149860+6 3.235937-4 2.130893+6 3.280700-4 2.107746+6 3.280700-4 2.224957+6 3.311311-4 2.209137+6 3.320000-4 2.204667+6 3.427678-4 2.148293+6 3.430000-4 2.147145+6 3.467369-4 2.127632+6 3.548134-4 2.086401+6 3.550000-4 2.085471+6 3.680000-4 2.019672+6 3.700000-4 2.010076+6 3.715352-4 2.002289+6 3.758374-4 1.980839+6 3.801894-4 1.959530+6 3.845918-4 1.938454+6 3.850000-4 1.936512+6 3.935501-4 1.894555+6 4.027170-4 1.852421+6 4.050000-4 1.842078+6 4.073803-4 1.831049+6 4.100000-4 1.818967+6 4.120975-4 1.809411+6 4.168694-4 1.787938+6 4.216965-4 1.766719+6 4.315191-4 1.723025+6 4.415704-4 1.681058+6 4.430000-4 1.675218+6 4.466836-4 1.659450+6 4.518559-4 1.637514+6 4.677351-4 1.573828+6 4.731513-4 1.552222+6 4.786301-4 1.530805+6 4.841724-4 1.509640+6 4.850000-4 1.506532+6 4.897788-4 1.488687+6 4.954502-4 1.467995+6 5.069907-4 1.425696+6 5.128614-4 1.405061+6 5.188000-4 1.384810+6 5.248075-4 1.364807+6 5.308844-4 1.344210+6 5.432503-4 1.303678+6 5.500000-4 1.282505+6 5.559043-4 1.264485+6 5.688529-4 1.224986+6 5.800000-4 1.192701+6 5.821032-4 1.186736+6 5.888437-4 1.167936+6 5.900000-4 1.164757+6 5.956621-4 1.148793+6 6.237348-4 1.075076+6 6.309573-4 1.057451+6 6.382635-4 1.039310+6 6.500000-4 1.011131+6 6.531306-4 1.003828+6 6.700000-4 9.660532+5 6.760830-4 9.528652+5 6.839116-4 9.359902+5 6.918310-4 9.193996+5 7.000000-4 9.027663+5 7.161434-4 8.711132+5 7.244360-4 8.554020+5 7.413102-4 8.242697+5 7.500000-4 8.089821+5 7.585776-4 7.943264+5 7.673615-4 7.797039+5 7.800000-4 7.590010+5 8.222426-4 6.950053+5 8.317638-4 6.815730+5 8.413951-4 6.683945+5 8.511380-4 6.552218+5 8.810489-4 6.171125+5 8.912509-4 6.049420+5 9.015711-4 5.928930+5 9.120108-4 5.810637+5 9.225714-4 5.692901+5 9.332543-4 5.577518+5 9.440609-4 5.464498+5 9.549926-4 5.353052+5 9.660509-4 5.242490+5 9.885531-4 5.028585+5 1.000000-3 4.923459+5 1.023293-3 4.719470+5 1.034600-3 4.625164+5 1.034600-3 1.714448+6 1.035142-3 1.712368+6 1.042000-3 1.686352+6 1.059254-3 1.623258+6 1.059600-3 1.622026+6 1.059600-3 2.100766+6 1.071519-3 2.071353+6 1.083927-3 2.042379+6 1.095000-3 2.018022+6 1.096478-3 2.014318+6 1.100000-3 2.005573+6 1.122018-3 1.960522+6 1.135011-3 1.935607+6 1.148154-3 1.904923+6 1.150000-3 1.900706+6 1.174898-3 1.840079+6 1.210000-3 1.761594+6 1.216186-3 1.747474+6 1.230269-3 1.711394+6 1.244515-3 1.676409+6 1.258925-3 1.637685+6 1.273503-3 1.594467+6 1.318257-3 1.471356+6 1.333521-3 1.432453+6 1.346900-3 1.399515+6 1.346900-3 1.610258+6 1.364583-3 1.564649+6 1.380384-3 1.524888+6 1.396368-3 1.486167+6 1.400000-3 1.477552+6 1.412538-3 1.448061+6 1.420000-3 1.430920+6 1.445440-3 1.375071+6 1.461600-3 1.341255+6 1.461600-3 1.420433+6 1.462177-3 1.419229+6 1.479108-3 1.384519+6 1.480000-3 1.382699+6 1.485000-3 1.372525+6 1.513561-3 1.316175+6 1.531087-3 1.283002+6 1.548817-3 1.250701+6 1.566751-3 1.219208+6 1.570000-3 1.213612+6 1.584893-3 1.188266+6 1.603245-3 1.158111+6 1.621810-3 1.128730+6 1.625100-3 1.123550+6 1.625100-3 1.173386+6 1.659587-3 1.120017+6 1.678804-3 1.091400+6 1.698244-3 1.063561+6 1.717908-3 1.036429+6 1.730000-3 1.020198+6 1.737801-3 1.009888+6 1.757924-3 9.840036+5 1.778279-3 9.587956+5 1.798871-3 9.340063+5 1.819701-3 9.098972+5 1.840772-3 8.862705+5 1.850000-3 8.762125+5 1.862087-3 8.631969+5 1.883649-3 8.406520+5 1.905461-3 8.187083+5 1.949845-3 7.766045+5 1.950000-3 7.764632+5 1.972423-3 7.562073+5 2.000000-3 7.322960+5 2.018366-3 7.169101+5 2.041738-3 6.980176+5 2.070000-3 6.760971+5 2.089296-3 6.615987+5 2.150000-3 6.188547+5 2.187762-3 5.942691+5 2.213095-3 5.785649+5 2.220000-3 5.743373+5 2.238721-3 5.629669+5 2.290868-3 5.328369+5 2.317395-3 5.184162+5 2.400000-3 4.769631+5 2.426610-3 4.644481+5 2.454709-3 4.516843+5 2.483133-3 4.392667+5 2.511886-3 4.272093+5 2.600160-3 3.930918+5 2.630268-3 3.823105+5 2.660725-3 3.718403+5 2.691535-3 3.616726+5 2.722701-3 3.517976+5 2.754229-3 3.421985+5 2.786121-3 3.327302+5 2.818383-3 3.235040+5 2.917427-3 2.972755+5 2.951209-3 2.890300+5 3.000000-3 2.777002+5 3.019952-3 2.732423+5 3.054921-3 2.656266+5 3.090295-3 2.581442+5 3.126079-3 2.508839+5 3.150000-3 2.461929+5 3.162278-3 2.438323+5 3.235937-3 2.303405+5 3.273407-3 2.238652+5 3.311311-3 2.175745+5 3.349654-3 2.114678+5 3.400000-3 2.038209+5 3.427678-3 1.997702+5 3.500000-3 1.896479+5 3.548134-3 1.832878+5 3.630781-3 1.730276+5 3.672823-3 1.681218+5 3.801894-3 1.542276+5 3.845918-3 1.498361+5 3.890451-3 1.455528+5 3.935501-3 1.413979+5 4.000000-3 1.357252+5 4.027170-3 1.334229+5 4.168694-3 1.222783+5 4.216965-3 1.187801+5 4.315191-3 1.120616+5 4.365158-3 1.088334+5 4.415704-3 1.056924+5 4.466836-3 1.026343+5 4.500000-3 1.007186+5 4.518559-3 9.966796+4 4.570882-3 9.678721+4 4.731513-3 8.865391+4 4.786301-3 8.608709+4 4.800000-3 8.546167+4 4.897788-3 8.117034+4 5.000000-3 7.698931+4 5.011872-3 7.652210+4 5.069907-3 7.429390+4 5.188000-3 7.002106+4 5.308844-3 6.600250+4 5.370318-3 6.407379+4 5.432503-3 6.220302+4 5.500000-3 6.025296+4 5.559043-3 5.861288+4 5.623413-3 5.689539+4 5.688529-3 5.523059+4 5.754399-3 5.361247+4 5.821032-3 5.204207+4 5.888437-3 5.051566+4 5.956621-3 4.903507+4 6.000000-3 4.811881+4 6.025596-3 4.758936+4 6.165950-3 4.482783+4 6.237348-3 4.350442+4 6.309573-3 4.221691+4 6.382635-3 4.096901+4 6.451900-3 3.983403+4 6.451900-3 1.122701+5 6.456542-3 1.120803+5 6.531306-3 1.090844+5 6.640000-3 1.049301+5 6.683439-3 1.031617+5 6.760830-3 1.001124+5 6.800000-3 9.861671+4 6.839116-3 9.715072+4 6.918310-3 9.427233+4 7.000000-3 9.142274+4 7.019200-3 9.075175+4 7.019200-3 1.241902+5 7.079458-3 1.214815+5 7.098000-3 1.206640+5 7.161434-3 1.180014+5 7.244360-3 1.145439+5 7.270000-3 1.135035+5 7.328245-3 1.111349+5 7.394100-3 1.085388+5 7.394100-3 1.253704+5 7.413102-3 1.245506+5 7.500000-3 1.208935+5 7.510000-3 1.204824+5 7.585776-3 1.174924+5 7.673615-3 1.141530+5 7.700000-3 1.131669+5 7.762471-3 1.108616+5 7.800000-3 1.095084+5 7.852356-3 1.076577+5 8.035261-3 1.015851+5 8.128305-3 9.868101+4 8.150000-3 9.801278+4 8.317638-3 9.301021+4 8.413951-3 9.029836+4 8.511380-3 8.766546+4 8.609938-3 8.510727+4 8.709636-3 8.262548+4 8.810489-3 8.021776+4 8.912509-3 7.788584+4 9.015711-3 7.558550+4 9.225714-3 7.119073+4 9.332543-3 6.909157+4 9.440609-3 6.705619+4 9.549926-3 6.508261+4 9.660509-3 6.316740+4 9.772372-3 6.129665+4 9.800000-3 6.084662+4 9.885531-3 5.948051+4 1.011579-2 5.599183+4 1.023293-2 5.431955+4 1.035142-2 5.269802+4 1.047129-2 5.112253+4 1.071519-2 4.811532+4 1.083927-2 4.668042+4 1.096478-2 4.528896+4 1.109175-2 4.393852+4 1.120000-2 4.283148+4 1.122018-2 4.262919+4 1.135011-2 4.135738+4 1.161449-2 3.892382+4 1.188502-2 3.663660+4 1.202264-2 3.554529+4 1.216186-2 3.447972+4 1.230269-2 3.344688+4 1.244515-2 3.244531+4 1.258925-2 3.146275+4 1.273503-2 3.050926+4 1.303167-2 2.868901+4 1.333521-2 2.697894+4 1.348963-2 2.616324+4 1.350000-2 2.610970+4 1.396368-2 2.384881+4 1.412538-2 2.312280+4 1.428894-2 2.241862+4 1.445440-2 2.173644+4 1.448320-2 2.162069+4 1.450000-2 2.155356+4 1.462177-2 2.107518+4 1.479108-2 2.043444+4 1.500000-2 1.968073+4 1.513561-2 1.921224+4 1.531087-2 1.862545+4 1.548817-2 1.805638+4 1.603245-2 1.645394+4 1.621810-2 1.594795+4 1.650000-2 1.522015+4 1.659587-2 1.498304+4 1.678804-2 1.452100+4 1.737801-2 1.321679+4 1.757924-2 1.280924+4 1.778279-2 1.241453+4 1.798871-2 1.203228+4 1.819701-2 1.166181+4 1.840772-2 1.130262+4 1.862087-2 1.095472+4 1.883649-2 1.061691+4 1.905461-2 1.028957+4 1.927525-2 9.972567+3 1.950000-2 9.663504+3 1.972423-2 9.366148+3 1.995262-2 9.074272+3 2.018366-2 8.791673+3 2.041738-2 8.518101+3 2.065380-2 8.253264+3 2.089296-2 7.996874+3 2.113489-2 7.748075+3 2.137962-2 7.507163+3 2.162719-2 7.273881+3 2.187762-2 7.047895+3 2.290868-2 6.210562+3 2.317395-2 6.016624+3 2.344229-2 5.828867+3 2.371374-2 5.647101+3 2.398833-2 5.470236+3 2.400000-2 5.462891+3 2.426610-2 5.298894+3 2.454709-2 5.133015+3 2.483133-2 4.972287+3 2.540973-2 4.665834+3 2.570396-2 4.519952+3 2.660725-2 4.107430+3 2.691535-2 3.978238+3 2.754229-2 3.732202+3 2.786121-2 3.614969+3 2.818383-2 3.501476+3 2.851018-2 3.391169+3 2.884032-2 3.284421+3 2.900000-2 3.234420+3 2.917427-2 3.180983+3 2.951209-2 3.080826+3 3.000000-2 2.943697+3 3.054921-2 2.798190+3 3.090295-2 2.709683+3 3.162278-2 2.541159+3 3.198895-2 2.460958+3 3.235937-2 2.383277+3 3.311311-2 2.234953+3 3.349654-2 2.164366+3 3.388442-2 2.095797+3 3.427678-2 2.029418+3 3.467369-2 1.965112+3 3.548134-2 1.842661+3 3.589219-2 1.783957+3 3.715352-2 1.619053+3 3.758374-2 1.567573+3 3.801894-2 1.517757+3 3.935501-2 1.377803+3 4.000000-2 1.316432+3 4.027170-2 1.291706+3 4.073803-2 1.250534+3 4.120975-2 1.210706+3 4.168694-2 1.172163+3 4.216965-2 1.134601+3 4.265795-2 1.098266+3 4.365158-2 1.029121+3 4.415704-2 9.962301+2 4.518559-2 9.335789+2 4.521900-2 9.316359+2 4.521900-2 5.257726+3 4.590000-2 5.070715+3 4.623810-2 4.972600+3 4.677351-2 4.837953+3 4.680000-2 4.831428+3 4.731513-2 4.690118+3 4.800000-2 4.510846+3 4.841724-2 4.413070+3 4.897788-2 4.286254+3 5.000000-2 4.067431+3 5.011872-2 4.041800+3 5.069907-2 3.919660+3 5.188000-2 3.686392+3 5.248075-2 3.575039+3 5.370318-2 3.362340+3 5.432503-2 3.260807+3 5.559043-2 3.069416+3 5.623413-2 2.977997+3 5.754399-2 2.803239+3 5.821032-2 2.719762+3 5.956621-2 2.559993+3 6.025596-2 2.483674+3 6.095369-2 2.409641+3 6.165950-2 2.336128+3 6.237348-2 2.264865+3 6.382635-2 2.128792+3 6.683439-2 1.880744+3 6.839116-2 1.767792+3 6.918310-2 1.713265+3 7.000000-2 1.659340+3 7.328245-2 1.464619+3 7.413102-2 1.419413+3 7.498942-2 1.375606+3 7.585776-2 1.333155+3 7.852356-2 1.213522+3 7.943282-2 1.176086+3 8.035261-2 1.139806+3 8.222426-2 1.070558+3 8.317638-2 1.037492+3 8.413951-2 1.005450+3 8.709636-2 9.138788+2 8.912509-2 8.575242+2 9.015711-2 8.306671+2 9.120108-2 8.046531+2 9.332543-2 7.550496+2 9.660509-2 6.863314+2 9.885531-2 6.440288+2 1.000000-1 6.238677+2 1.011580-1 6.043162+2 1.023293-1 5.853805+2 1.059254-1 5.320616+2 1.071519-1 5.152024+2 1.083927-1 4.988773+2 1.109175-1 4.677661+2 1.135011-1 4.385988+2 1.161449-1 4.112533+2 1.216186-1 3.615803+2 1.230269-1 3.501289+2 1.244515-1 3.390428+2 1.258925-1 3.282979+2 1.273503-1 3.178949+2 1.303167-1 2.980694+2 1.318257-1 2.886260+2 1.348963-1 2.706280+2 1.380384-1 2.537541+2 1.428894-1 2.303977+2 1.445440-1 2.230815+2 1.479108-1 2.091407+2 1.500000-1 2.010802+2 1.531088-1 1.898482+2 1.548817-1 1.838221+2 1.566751-1 1.779876+2 1.584893-1 1.723379+2 1.603245-1 1.668690+2 1.621810-1 1.615749+2 1.678804-1 1.466807+2 1.717908-1 1.375231+2 1.737801-1 1.331610+2 1.778279-1 1.248484+2 1.798871-1 1.208889+2 1.840772-1 1.133440+2 1.883649-1 1.062706+2 1.905461-1 1.029021+2 1.927525-1 9.964139+1 1.949845-1 9.648402+1 1.972423-1 9.342685+1 1.995262-1 9.046670+1 2.000000-1 8.986861+1 2.065380-1 8.213749+1 2.089296-1 7.953544+1 2.113489-1 7.701588+1 2.137962-1 7.459795+1 2.162719-1 7.225608+1 2.187762-1 6.998786+1 2.238721-1 6.566425+1 2.264644-1 6.360423+1 2.317395-1 5.967612+1 2.344229-1 5.780447+1 2.371374-1 5.599164+1 2.398833-1 5.423744+1 2.454709-1 5.089228+1 2.511886-1 4.775383+1 2.540973-1 4.625840+1 2.570396-1 4.480997+1 2.600160-1 4.342334+1 2.630268-1 4.208002+1 2.660725-1 4.077828+1 2.786121-1 3.596197+1 2.818383-1 3.484966+1 2.851018-1 3.377180+1 2.884032-1 3.272787+1 2.917427-1 3.171768+1 2.951209-1 3.075049+1 2.985383-1 2.981279+1 3.054921-1 2.802287+1 3.090295-1 2.716865+1 3.126079-1 2.634047+1 3.162278-1 2.553760+1 3.198895-1 2.475924+1 3.273407-1 2.327343+1 3.311311-1 2.256433+1 3.349654-1 2.187689+1 3.388442-1 2.122175+1 3.402400-1 2.099270+1 3.427678-1 2.058660+1 3.467369-1 1.997161+1 3.507519-1 1.937502+1 3.548134-1 1.879630+1 3.589219-1 1.823504+1 3.630781-1 1.769054+1 3.672823-1 1.716233+1 3.715352-1 1.664989+1 3.758374-1 1.615275+1 3.845918-1 1.520265+1 3.890451-1 1.475747+1 3.935501-1 1.432534+1 4.000000-1 1.373821+1 4.027170-1 1.350088+1 4.168694-1 1.235236+1 4.216965-1 1.199169+1 4.315191-1 1.130166+1 4.365158-1 1.097180+1 4.415705-1 1.065842+1 4.466836-1 1.035400+1 4.472100-1 1.032337+1 4.518559-1 1.005903+1 4.570882-1 9.772523+0 4.677351-1 9.223788+0 4.731513-1 8.961103+0 4.786301-1 8.705929+0 4.897788-1 8.217459+0 4.954502-1 7.988681+0 5.000000-1 7.811579+0 5.069907-1 7.550066+0 5.128614-1 7.340484+0 5.188000-1 7.136726+0 5.248075-1 6.938641+0 5.308844-1 6.746133+0 5.370318-1 6.559021+0 5.432503-1 6.377106+0 5.495409-1 6.200235+0 5.559043-1 6.032125+0 5.623413-1 5.868576+0 5.688529-1 5.709462+0 5.754399-1 5.555157+0 5.821032-1 5.405073+0 5.888437-1 5.259057+0 5.956621-1 5.117041+0 6.025596-1 4.978858+0 6.095369-1 4.844408+0 6.165950-1 4.716695+0 6.237348-1 4.592349+0 6.309573-1 4.471292+0 6.382635-1 4.353529+0 6.456542-1 4.239236+0 6.531306-1 4.127953+0 6.606935-1 4.019633+0 6.683439-1 3.914157+0 6.839117-1 3.716543+0 6.918310-1 3.621518+0 6.998420-1 3.528954+0 7.079458-1 3.438756+0 7.161434-1 3.351150+0 7.244360-1 3.265795+0 7.328245-1 3.182644+0 7.413102-1 3.101611+0 7.498942-1 3.024583+0 7.585776-1 2.949473+0 7.762471-1 2.804846+0 7.852356-1 2.735216+0 7.943282-1 2.667315+0 8.035261-1 2.601318+0 8.317638-1 2.412988+0 8.413951-1 2.354723+0 8.511380-1 2.297885+0 8.609938-1 2.242419+0 8.709636-1 2.188320+0 8.810489-1 2.135532+0 8.912509-1 2.084052+0 9.015711-1 2.033822+0 9.120108-1 1.984934+0 9.225714-1 1.937223+0 9.332543-1 1.890686+0 9.440609-1 1.845271+0 9.549926-1 1.802367+0 9.660509-1 1.760460+0 9.691100-1 1.749138+0 9.772372-1 1.719582+0 9.885531-1 1.679820+0 1.000000+0 1.641007+0 1.011579+0 1.603095+0 1.023293+0 1.566055+0 1.035142+0 1.530846+0 1.047129+0 1.496427+0 1.059254+0 1.462784+0 1.071519+0 1.429899+0 1.083927+0 1.397769+0 1.096478+0 1.366379+0 1.109175+0 1.335779+0 1.135011+0 1.276653+0 1.148154+0 1.248079+0 1.161449+0 1.220145+0 1.174898+0 1.193542+0 1.202264+0 1.142095+0 1.216186+0 1.117207+0 1.230269+0 1.092873+0 1.244515+0 1.069084+0 1.258925+0 1.045893+0 1.273503+0 1.023207+0 1.288250+0 1.001013+0 1.303167+0 9.793139-1 1.318257+0 9.586860-1 1.333521+0 9.384937-1 1.380384+0 8.804523-1 1.396368+0 8.619263-1 1.412538+0 8.438448-1 1.428894+0 8.261467-1 1.445440+0 8.088253-1 1.462177+0 7.918681-1 1.500000+0 7.564631-1 1.513561+0 7.443671-1 1.531087+0 7.291754-1 1.548817+0 7.142955-1 1.566751+0 6.997204-1 1.584893+0 6.854519-1 1.603245+0 6.715170-1 1.640590+0 6.444948-1 1.659587+0 6.313949-1 1.698244+0 6.067177-1 1.737801+0 5.830158-1 1.757924+0 5.715142-1 1.778279+0 5.602520-1 1.798871+0 5.492483-1 1.819701+0 5.384627-1 1.840772+0 5.278890-1 1.862087+0 5.175233-1 1.883649+0 5.076714-1 1.905461+0 4.980069-1 1.949845+0 4.792364-1 1.972423+0 4.701183-1 2.000000+0 4.593648-1 2.018366+0 4.524439-1 2.065380+0 4.354722-1 2.089296+0 4.272268-1 2.137962+0 4.116529-1 2.213095+0 3.893602-1 2.264644+0 3.751734-1 2.290868+0 3.682818-1 2.317395+0 3.615384-1 2.371374+0 3.484218-1 2.398833+0 3.420433-1 2.454709+0 3.299864-1 2.540973+0 3.127013-1 2.600160+0 3.016840-1 2.630268+0 2.963273-1 2.660725+0 2.910825-1 2.722701+0 2.808714-1 2.754229+0 2.759010-1 2.818383+0 2.664980-1 2.917427+0 2.529974-1 3.000000+0 2.425890-1 3.019952+0 2.401832-1 3.054921+0 2.360753-1 3.126079+0 2.280702-1 3.162278+0 2.241700-1 3.235937+0 2.167892-1 3.349654+0 2.061763-1 3.467369+0 1.960828-1 3.507519+0 1.928327-1 3.548134+0 1.896469-1 3.630781+0 1.834333-1 3.672823+0 1.804034-1 3.758374+0 1.746611-1 3.890451+0 1.663925-1 4.027170+0 1.585153-1 4.073803+0 1.559759-1 4.120975+0 1.534852-1 4.216965+0 1.486233-1 4.265795+0 1.462505-1 4.365158+0 1.417476-1 4.415704+0 1.395486-1 4.570882+0 1.331565-1 4.731513+0 1.270573-1 4.786301+0 1.250890-1 4.841724+0 1.231574-1 4.954502+0 1.193839-1 5.011872+0 1.175408-1 5.128614+0 1.140410-1 5.188000+0 1.123306-1 5.370318+0 1.073535-1 5.623413+0 1.010587-1 5.688529+0 9.954504-2 5.754399+0 9.805867-2 5.888437+0 9.515261-2 5.956621+0 9.373210-2 6.095369+0 9.102819-2 6.165950+0 8.970575-2 6.456542+0 8.460715-2 6.760830+0 7.979833-2 6.839116+0 7.864056-2 6.918310+0 7.750294-2 7.079458+0 7.527717-2 7.161434+0 7.418841-2 7.328245+0 7.211324-2 7.413102+0 7.109754-2 7.498942+0 7.009621-2 7.852356+0 6.623133-2 8.222427+0 6.257954-2 8.317638+0 6.169933-2 8.413951+0 6.083410-2 8.609938+0 5.914010-2 8.709636+0 5.831090-2 8.912509+0 5.672864-2 9.015711+0 5.595370-2 9.120108+0 5.518939-2 9.660509+0 5.152281-2 1.011579+1 4.876577-2 1.023293+1 4.810003-2 1.035142+1 4.744380-2 1.047129+1 4.679828-2 1.071519+1 4.553376-2 1.083927+1 4.491434-2 1.109175+1 4.373105-2 1.122018+1 4.315119-2 1.135011+1 4.257900-2 1.202264+1 3.983090-2 1.258925+1 3.776067-2 1.273503+1 3.726028-2 1.300000+1 3.638218-2 1.303167+1 3.628006-2 1.318257+1 3.580073-2 1.348963+1 3.486111-2 1.380384+1 3.394618-2 1.412538+1 3.307478-2 1.445440+1 3.222579-2 1.462177+1 3.180954-2 1.548817+1 2.980807-2 1.621810+1 2.829799-2 1.640590+1 2.793266-2 1.659587+1 2.757225-2 1.678804+1 2.721737-2 1.717908+1 2.652132-2 1.757924+1 2.584308-2 1.819701+1 2.487868-2 1.862087+1 2.425584-2 1.883649+1 2.395031-2 1.905461+1 2.364864-2 2.041738+1 2.191715-2 2.113489+1 2.109954-2 2.137962+1 2.083390-2 2.162719+1 2.057170-2 2.200000+1 2.018928-2 2.213095+1 2.005817-2 2.290868+1 1.931187-2 2.371374+1 1.859336-2 2.483133+1 1.769517-2 2.540973+1 1.726248-2 2.570396+1 1.705012-2 2.691535+1 1.622673-2 2.786121+1 1.563538-2 2.818383+1 1.544313-2 2.851018+1 1.525331-2 2.951209+1 1.469868-2 3.019952+1 1.434017-2 3.273407+1 1.315297-2 3.311311+1 1.299159-2 3.467369+1 1.236564-2 3.589219+1 1.192410-2 3.672823+1 1.163853-2 3.715352+1 1.149833-2 3.801894+1 1.122304-2 3.935501+1 1.082242-2 3.981072+1 1.069210-2 4.000000+1 1.063890-2 4.120975+1 1.031132-2 4.216965+1 1.006510-2 4.265795+1 9.944212-3 4.570882+1 9.248776-3 4.623810+1 9.137696-3 4.954502+1 8.498672-3 5.248075+1 8.006802-3 5.559043+1 7.543403-3 5.623413+1 7.453997-3 5.688529+1 7.365661-3 5.956621+1 7.022676-3 6.309573+1 6.616317-3 6.456542+1 6.460459-3 6.531306+1 6.384049-3 6.683439+1 6.233932-3 6.918310+1 6.015348-3 6.998420+1 5.944209-3 7.413102+1 5.600934-3 7.585776+1 5.469242-3 8.035261+1 5.153401-3 8.511380+1 4.859395-3 9.015711+1 4.582165-3 9.120108+1 4.528647-3 9.225714+1 4.475755-3 9.332543+1 4.423486-3 9.885531+1 4.171168-3 1.071519+2 3.841916-3 1.109175+2 3.708900-3 1.122018+2 3.665641-3 1.161449+2 3.538886-3 1.230269+2 3.337298-3 1.244515+2 3.298381-3 1.258925+2 3.259921-3 1.412538+2 2.899118-3 1.445440+2 2.831899-3 1.584893+2 2.578253-3 1.678804+2 2.432526-3 1.798871+2 2.268485-3 1.819701+2 2.242241-3 1.840772+2 2.216301-3 1.862087+2 2.190664-3 1.972423+2 2.066858-3 2.137962+2 1.905196-3 2.213095+2 1.839846-3 2.238721+2 1.818580-3 2.317395+2 1.756253-3 2.454709+2 1.657085-3 2.483133+2 1.637934-3 2.511886+2 1.619005-3 2.818383+2 1.441335-3 2.884032+2 1.408213-3 3.162278+2 1.283164-3 3.349654+2 1.211085-3 3.589219+2 1.129915-3 3.630781+2 1.116925-3 3.672823+2 1.104085-3 3.715352+2 1.091394-3 3.935501+2 1.030091-3 4.265795+2 9.500088-4 4.415704+2 9.176242-4 4.466836+2 9.070808-4 4.623810+2 8.761748-4 4.897788+2 8.269871-4 4.954502+2 8.174862-4 5.011872+2 8.080945-4 1.122018+3 3.598990-4 1.148154+3 3.516769-4 1.258925+3 3.206253-4 1.333521+3 3.026768-4 1.428894+3 2.824598-4 1.445440+3 2.792240-4 1.462177+3 2.760255-4 1.479108+3 2.728637-4 1.566751+3 2.575894-4 1.698244+3 2.376311-4 1.757924+3 2.295584-4 1.778279+3 2.269296-4 1.840772+3 2.192224-4 1.949845+3 2.069544-4 1.972423+3 2.045845-4 3.981072+3 1.013334-4 1.000000+5 4.029030-6 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.030000-6 5.030000-6 8.350000-6 5.030000-6 8.350000-6 6.678474-6 8.880000-6 6.925015-6 8.880000-6 7.497294-6 9.600000-6 7.772980-6 1.035142-5 8.001757-6 1.110000-5 8.167471-6 1.190000-5 8.285262-6 1.290000-5 8.371550-6 1.440000-5 8.430792-6 1.819701-5 8.472096-6 2.546000-5 8.505387-6 2.546000-5 2.342920-5 2.730000-5 2.258974-5 2.896000-5 2.172433-5 2.896000-5 2.446575-5 3.054921-5 2.378983-5 3.350000-5 2.235732-5 4.073803-5 1.850395-5 4.365158-5 1.705910-5 4.570882-5 1.612973-5 4.627000-5 1.589351-5 4.627000-5 1.612757-5 4.900000-5 1.511813-5 5.011872-5 1.475509-5 5.188000-5 1.423477-5 5.432503-5 1.361896-5 5.688529-5 1.308451-5 5.956621-5 1.263040-5 6.237348-5 1.224782-5 6.606934-5 1.185762-5 7.000000-5 1.155173-5 7.500000-5 1.127132-5 8.035261-5 1.106163-5 8.810489-5 1.085785-5 9.549926-5 1.073194-5 1.060000-4 1.062588-5 1.202264-4 1.056378-5 1.305900-4 1.055294-5 1.305900-4 1.332541-5 1.333521-4 1.425928-5 1.350500-4 1.482817-5 1.350500-4 1.623728-5 1.373000-4 1.709985-5 1.387700-4 1.757013-5 1.403000-4 1.795308-5 1.419000-4 1.822569-5 1.435000-4 1.837474-5 1.450000-4 1.840907-5 1.472000-4 1.832648-5 1.500000-4 1.805034-5 1.535000-4 1.757529-5 1.650000-4 1.585018-5 1.698244-4 1.521667-5 1.750000-4 1.465219-5 1.780000-4 1.438449-5 1.826000-4 1.407116-5 1.865000-4 1.388884-5 1.905461-4 1.377427-5 1.950000-4 1.373107-5 2.010000-4 1.378710-5 2.070000-4 1.394816-5 2.128000-4 1.418521-5 2.213095-4 1.463013-5 2.264644-4 1.493509-5 2.398700-4 1.581103-5 2.398700-4 2.016143-5 2.650100-4 2.176939-5 2.650100-4 2.311552-5 2.818383-4 2.410801-5 3.019952-4 2.517623-5 3.235937-4 2.618705-5 3.280700-4 2.638106-5 3.280700-4 2.878780-5 3.550000-4 2.983286-5 3.850000-4 3.081396-5 4.216965-4 3.181467-5 4.677351-4 3.284690-5 5.308844-4 3.394080-5 5.956621-4 3.483743-5 6.918310-4 3.586492-5 7.800000-4 3.661958-5 9.332543-4 3.766565-5 1.034600-3 3.823811-5 1.034600-3 6.176659-5 1.059600-3 6.170421-5 1.059600-3 6.437683-5 1.150000-3 6.500346-5 1.244515-3 6.537367-5 1.346900-3 6.531546-5 1.346900-3 7.067541-5 1.461600-3 7.100922-5 1.461600-3 7.342347-5 1.625100-3 7.423884-5 1.625100-3 7.692056-5 2.089296-3 7.946811-5 2.722701-3 8.229520-5 3.427678-3 8.485566-5 4.315191-3 8.745073-5 5.432503-3 9.003509-5 6.451900-3 9.193488-5 6.451900-3 1.262238-4 7.019200-3 1.266825-4 7.019200-3 1.341158-4 7.394100-3 1.343168-4 7.394100-3 1.408219-4 1.071519-2 1.436736-4 1.548817-2 1.465038-4 2.187762-2 1.491601-4 3.162278-2 1.519560-4 4.521900-2 1.545304-4 4.521900-2 1.511319-4 1.216186-1 1.519054-4 4.786301-1 1.523946-4 1.000000+5 1.524680-4 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.030000-6 0.0 1.350500-4 0.0 1.350500-4 1.167502-9 1.355000-4 1.210211-9 1.360000-4 1.264347-9 1.367000-4 1.344677-9 1.380384-4 1.511431-9 1.395000-4 1.702712-9 1.400000-4 1.767707-9 1.407000-4 1.853606-9 1.415000-4 1.945231-9 1.422000-4 2.018138-9 1.428894-4 2.082257-9 1.435000-4 2.131900-9 1.442000-4 2.181126-9 1.450000-4 2.225715-9 1.458000-4 2.257907-9 1.465000-4 2.279203-9 1.473000-4 2.292523-9 1.481000-4 2.297437-9 1.492000-4 2.291504-9 1.505000-4 2.269566-9 1.520000-4 2.229420-9 1.535000-4 2.178649-9 1.550000-4 2.119890-9 1.570000-4 2.035765-9 1.650000-4 1.675828-9 1.698244-4 1.471674-9 1.720000-4 1.387120-9 1.750000-4 1.277177-9 1.780000-4 1.180564-9 1.810000-4 1.097372-9 1.835000-4 1.038335-9 1.858000-4 9.92336-10 1.880000-4 9.55293-10 1.900000-4 9.27197-10 1.922000-4 9.02532-10 1.945000-4 8.83446-10 1.965000-4 8.71861-10 1.990000-4 8.63344-10 2.010000-4 8.61022-10 2.030000-4 8.62295-10 2.050000-4 8.67178-10 2.070000-4 8.75248-10 2.100000-4 8.92961-10 2.128000-4 9.15088-10 2.162719-4 9.48432-10 2.205000-4 9.96569-10 2.264644-4 1.076052-9 2.350000-4 1.205554-9 2.398700-4 1.284520-9 2.398700-4 2.405610-9 2.650100-4 2.814102-9 2.650100-4 3.416471-9 2.818383-4 3.683824-9 3.000000-4 3.949738-9 3.126079-4 4.121322-9 3.280700-4 4.313595-9 3.280700-4 4.921440-9 3.467369-4 5.130189-9 3.715352-4 5.379013-9 4.050000-4 5.660984-9 4.430000-4 5.935062-9 4.841724-4 6.179886-9 5.308844-4 6.410262-9 5.956621-4 6.674623-9 6.700000-4 6.917596-9 7.673615-4 7.176220-9 8.810489-4 7.418307-9 1.023293-3 7.666505-9 1.034600-3 7.684890-9 1.034600-3 9.089046-9 1.059600-3 9.093483-9 1.059600-3 7.195138-7 1.096478-3 8.084207-7 1.135011-3 8.836857-7 1.150000-3 9.042690-7 1.210000-3 9.941124-7 1.216186-3 1.002030-6 1.244515-3 1.026115-6 1.258925-3 1.032379-6 1.346900-3 1.027824-6 1.346900-3 1.105169-6 1.461600-3 1.106975-6 1.461600-3 1.235501-6 1.625100-3 1.256398-6 1.625100-3 1.324222-6 1.883649-3 1.360581-6 2.290868-3 1.409476-6 2.786121-3 1.459890-6 3.349654-3 1.508133-6 4.027170-3 1.556903-6 4.897788-3 1.607770-6 5.956621-3 1.658131-6 6.451900-3 1.678507-6 6.451900-3 5.321133-4 6.683439-3 5.342164-4 7.019200-3 5.341948-4 7.019200-3 6.778420-4 7.394100-3 6.791404-4 7.394100-3 7.158779-4 9.800000-3 7.232599-4 1.500000-2 7.305650-4 2.483133-2 7.364812-4 4.521900-2 7.416897-4 4.521900-2 3.107881-2 5.248075-2 3.130526-2 6.839116-2 3.159923-2 9.885531-2 3.184900-2 1.678804-1 3.204477-2 5.888437-1 3.220366-2 1.258925+0 3.228647-2 1.000000+5 3.228150-2 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.030000-6 0.0 8.350000-6 3.320000-6 8.350000-6 1.671526-6 8.880000-6 1.954985-6 8.880000-6 1.382706-6 9.225714-6 1.589274-6 9.440609-6 1.723874-6 9.700000-6 1.892986-6 1.000000-5 2.097462-6 1.035142-5 2.349663-6 1.071519-5 2.625304-6 1.110000-5 2.932529-6 1.150000-5 3.267169-6 1.190000-5 3.614738-6 1.264200-5 4.287828-6 1.357000-5 5.164913-6 1.531087-5 6.863340-6 2.546000-5 1.695461-5 2.546000-5 2.030800-6 2.570396-5 2.376717-6 2.630268-5 3.237671-6 2.660725-5 3.683130-6 2.730000-5 4.710257-6 2.818383-5 6.042621-6 2.896000-5 7.235672-6 2.896000-5 4.494250-6 2.985383-5 5.758852-6 3.054921-5 6.759383-6 3.198895-5 8.875639-6 3.427678-5 1.232123-5 4.073803-5 2.223408-5 4.365158-5 2.659248-5 4.627000-5 3.037649-5 4.627000-5 3.014243-5 4.900000-5 3.388187-5 5.248075-5 3.840840-5 5.688529-5 4.380078-5 6.237348-5 5.012566-5 7.000000-5 5.844827-5 8.222426-5 7.122030-5 1.100000-4 9.940015-5 1.305900-4 1.200371-4 1.305900-4 1.172646-4 1.350500-4 1.202218-4 1.350500-4 1.188115-4 1.400000-4 1.221122-4 1.445440-4 1.261339-4 1.505000-4 1.325077-4 1.740000-4 1.592473-4 1.900000-4 1.762133-4 2.120000-4 1.978506-4 2.398700-4 2.240577-4 2.398700-4 2.197062-4 2.650100-4 2.432378-4 2.650100-4 2.418911-4 3.280700-4 3.016846-4 3.280700-4 2.992773-4 4.518559-4 4.193322-4 7.800000-4 7.433732-4 1.034600-3 9.963542-4 1.034600-3 9.728243-4 1.059600-3 9.978867-4 1.059600-3 9.945037-4 1.346900-3 1.280557-3 1.346900-3 1.275119-3 1.461600-3 1.389484-3 1.461600-3 1.386941-3 1.625100-3 1.549605-3 1.625100-3 1.546855-3 6.451900-3 6.358287-3 6.451900-3 5.793563-3 7.019200-3 6.358323-3 7.019200-3 6.207242-3 7.394100-3 6.580643-3 7.394100-3 6.537400-3 4.521900-2 4.432278-2 4.521900-2 1.398905-2 4.731513-2 1.599868-2 5.370318-2 2.222175-2 6.839116-2 3.664042-2 1.135011-1 8.143284-2 1.000000+5 9.999997+4 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 4.521900-2 4.326090+3 4.590000-2 4.177500+3 4.623810-2 4.097653+3 4.680000-2 3.985720+3 4.800000-2 3.723280+3 5.000000-2 3.365780+3 5.432503-2 2.706302+3 6.095369-2 2.009570+3 6.839116-2 1.479480+3 8.413951-2 8.458491+2 1.059254-1 4.494730+2 1.428894-1 1.953328+2 2.113489-1 6.546010+1 2.570396-1 3.811600+1 2.917427-1 2.699347+1 3.349654-1 1.862618+1 3.845918-1 1.294992+1 4.365158-1 9.350091+0 4.897788-1 7.005688+0 5.495409-1 5.288399+0 6.095369-1 4.133693+0 6.683439-1 3.341335+0 7.413102-1 2.649100+0 8.317638-1 2.062228+0 9.440609-1 1.577947+0 1.023293+0 1.339425+0 1.161449+0 1.043683+0 1.303167+0 8.376679-1 1.462177+0 6.772704-1 1.659587+0 5.400022-1 1.862087+0 4.426150-1 2.089296+0 3.653946-1 2.398833+0 2.925419-1 2.754229+0 2.359751-1 3.162278+0 1.917313-1 3.672823+0 1.542989-1 4.265795+0 1.250871-1 5.011872+0 1.005316-1 5.956621+0 8.016912-2 7.161434+0 6.345350-2 8.709636+0 4.987363-2 1.083927+1 3.841553-2 1.380384+1 2.903424-2 1.757924+1 2.210381-2 2.371374+1 1.590244-2 3.467369+1 1.057600-2 4.954502+1 7.268685-3 8.035261+1 4.407557-3 1.584893+2 2.205153-3 3.162278+2 1.097535-3 1.258925+3 2.742415-4 1.000000+5 3.446400-6 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 4.521900-2 1.504000-4 1.000000+5 1.504000-4 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.521900-2 3.761200-2 1.000000+5 3.761200-2 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.521900-2 7.456600-3 1.000000+5 9.999996+4 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 7.394100-3 1.683157+4 7.510000-3 1.631494+4 7.700000-3 1.566944+4 7.852356-3 1.513728+4 8.150000-3 1.426898+4 8.810489-3 1.243318+4 9.660509-3 1.060394+4 1.035142-2 9.337397+3 1.202264-2 7.054062+3 1.513561-2 4.481518+3 1.678804-2 3.622571+3 1.950000-2 2.649540+3 2.290868-2 1.870065+3 2.570396-2 1.449456+3 3.000000-2 1.021654+3 3.548134-2 6.917888+2 4.168694-2 4.713530+2 4.897788-2 3.184671+2 5.821032-2 2.073862+2 6.918310-2 1.338875+2 8.222426-2 8.577940+1 1.000000-1 5.136800+1 1.244515-1 2.871653+1 2.371374-1 5.059705+0 2.884032-1 3.004511+0 3.427678-1 1.910177+0 3.935501-1 1.338548+0 4.472100-1 9.697099-1 5.069907-1 7.120701-1 5.688529-1 5.401257-1 6.382635-1 4.127143-1 7.079458-1 3.265139-1 7.943282-1 2.535269-1 9.015711-1 1.934941-1 9.772372-1 1.635806-1 1.096478+0 1.299802-1 1.244515+0 1.016882-1 1.396368+0 8.199266-2 1.584893+0 6.519868-2 1.778279+0 5.329031-2 2.000000+0 4.369300-2 2.290868+0 3.502744-2 2.630268+0 2.818263-2 3.019952+0 2.284154-2 3.507519+0 1.833850-2 4.073803+0 1.483456-2 4.786301+0 1.189724-2 5.688529+0 9.467878-3 6.839116+0 7.479845-3 8.317638+0 5.868391-3 1.035142+1 4.512798-3 1.300000+1 3.460400-3 1.659587+1 2.622579-3 2.162719+1 1.956795-3 2.851018+1 1.450559-3 4.000000+1 1.011700-3 6.456542+1 6.143319-4 1.109175+2 3.526732-4 2.213095+2 1.750071-4 4.415704+2 8.728198-5 1.757924+3 2.184164-5 1.000000+5 3.834400-7 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 7.394100-3 1.827700-4 1.000000+5 1.827700-4 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 7.394100-3 9.527800-4 1.000000+5 9.527800-4 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 7.394100-3 6.258550-3 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 7.019200-3 3.343844+4 7.098000-3 3.259637+4 7.161434-3 3.201695+4 7.270000-3 3.092900+4 7.673615-3 2.699100+4 8.912509-3 1.822200+4 9.885531-3 1.375400+4 1.135011-2 9.379600+3 1.350000-2 5.771600+3 1.659587-2 3.177800+3 1.862087-2 2.263600+3 2.187762-2 1.400400+3 2.660725-2 7.733900+2 3.235937-2 4.229800+2 3.935501-2 2.294400+2 4.841724-2 1.191300+2 6.237348-2 5.304400+1 1.230269-1 5.962100+0 1.584893-1 2.657375+0 1.905461-1 1.487207+0 2.238721-1 9.015088-1 2.600160-1 5.705477-1 2.985383-1 3.768627-1 3.402400-1 2.564881-1 3.845918-1 1.802103-1 4.315191-1 1.302952-1 4.786301-1 9.795382-2 5.308844-1 7.412869-2 5.888437-1 5.648934-2 6.531306-1 4.337231-2 7.244360-1 3.355233-2 8.413951-1 2.341161-2 9.015711-1 1.992467-2 9.660509-1 1.707473-2 1.023293+0 1.511173-2 1.109175+0 1.282794-2 1.216186+0 1.072045-2 1.333521+0 9.028332-3 1.531087+0 7.046980-3 1.757924+0 5.524589-3 1.972423+0 4.542563-3 2.264644+0 3.625441-3 2.600160+0 2.915393-3 3.000000+0 2.344300-3 3.467369+0 1.894761-3 4.027170+0 1.531835-3 4.731513+0 1.227814-3 5.623413+0 9.766359-4 6.760830+0 7.712256-4 8.222427+0 6.047930-4 1.011579+1 4.712795-4 1.258925+1 3.648921-4 1.621810+1 2.734786-4 2.113489+1 2.039199-4 2.786121+1 1.510949-4 3.935501+1 1.045863-4 6.309573+1 6.393288-5 1.071519+2 3.712344-5 2.137962+2 1.841632-5 4.265795+2 9.183179-6 1.698244+3 2.297629-6 1.000000+5 3.896600-8 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 7.019200-3 1.542900-4 1.000000+5 1.542900-4 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 7.019200-3 1.067700-3 1.000000+5 1.067700-3 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 7.019200-3 5.797210-3 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 6.451900-3 7.243604+4 6.640000-3 6.796960+4 7.000000-3 5.922200+4 8.128305-3 3.940765+4 8.912509-3 3.043834+4 1.011579-2 2.118230+4 1.244515-2 1.162764+4 1.396368-2 8.247218+3 1.603245-2 5.445736+3 1.972423-2 2.880924+3 2.371374-2 1.617726+3 2.818383-2 9.335524+2 3.349654-2 5.345307+2 4.027170-2 2.925797+2 4.897788-2 1.530124+2 6.095369-2 7.356581+1 7.943282-2 3.004975+1 1.258925-1 6.306930+0 1.603245-1 2.794546+0 1.883649-1 1.634710+0 2.187762-1 1.000667+0 2.511886-1 6.407821-1 2.851018-1 4.290852-1 3.198895-1 3.002043-1 3.548134-1 2.191845-1 3.935501-1 1.611481-1 4.365158-1 1.193661-1 4.786301-1 9.204736-2 5.248075-1 7.144915-2 5.754399-1 5.583756-2 6.309573-1 4.395423-2 6.918310-1 3.485274-2 7.585776-1 2.783161-2 8.609938-1 2.060545-2 9.225714-1 1.760180-2 9.885531-1 1.514483-2 1.071519+0 1.282719-2 1.174898+0 1.069034-2 1.288250+0 8.975641-3 1.428894+0 7.430257-3 1.698244+0 5.468148-3 1.905461+0 4.486393-3 2.137962+0 3.708104-3 2.454709+0 2.972349-3 2.818383+0 2.400311-3 3.235937+0 1.952509-3 3.758374+0 1.573178-3 4.415704+0 1.256750-3 5.188000+0 1.011651-3 6.165950+0 8.079155-4 7.498942+0 6.312302-4 9.120108+0 4.970189-4 1.135011+1 3.834539-4 1.462177+1 2.864595-4 1.905461+1 2.129388-4 2.570396+1 1.535518-4 3.715352+1 1.035580-4 5.623413+1 6.712326-5 9.225714+1 4.030559-5 1.840772+2 1.996388-5 3.672823+2 9.946860-6 1.462177+3 2.486993-6 1.000000+5 3.630800-8 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 6.451900-3 1.450800-4 1.000000+5 1.450800-4 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 6.451900-3 8.238100-4 1.000000+5 8.238100-4 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 6.451900-3 5.483010-3 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.625100-3 4.983596+4 1.717908-3 4.683969+4 1.972423-3 3.906483+4 2.089296-3 3.595757+4 2.426610-3 2.884628+4 2.786121-3 2.342676+4 3.019952-3 2.058382+4 3.672823-3 1.489891+4 4.168694-3 1.196768+4 4.800000-3 9.331380+3 5.821032-3 6.559255+3 6.839116-3 4.840693+3 7.852356-3 3.708817+3 9.225714-3 2.699713+3 1.096478-2 1.905227+3 1.303167-2 1.333471+3 1.531087-2 9.486801+2 1.798871-2 6.699831+2 2.089296-2 4.818922+2 2.454709-2 3.354665+2 2.900000-2 2.288380+2 3.427678-2 1.546881+2 4.027170-2 1.052483+2 4.731513-2 7.108963+1 5.623413-2 4.632368+1 6.683439-2 2.995472+1 8.035261-2 1.866543+1 9.660509-2 1.154553+1 1.216186-1 6.278800+0 1.566751-1 3.189920+0 2.317395-1 1.113518+0 2.851018-1 6.418726-1 3.388442-1 4.083079-1 3.935501-1 2.779008-1 4.466836-1 2.020759-1 5.069907-1 1.479998-1 5.688529-1 1.122814-1 6.309573-1 8.813060-2 7.079458-1 6.784048-2 7.943282-1 5.262886-2 8.810489-1 4.212810-2 9.660509-1 3.479920-2 1.083927+0 2.765575-2 1.230269+0 2.162435-2 1.380384+0 1.741686-2 1.566751+0 1.383467-2 1.757924+0 1.129990-2 1.972423+0 9.295121-3 2.264644+0 7.417699-3 2.600160+0 5.964575-3 3.000000+0 4.796000-3 3.467369+0 3.876364-3 4.027170+0 3.133904-3 4.731513+0 2.511950-3 5.623413+0 1.998023-3 6.760830+0 1.577728-3 8.222427+0 1.237258-3 1.023293+1 9.510443-4 1.273503+1 7.366424-4 1.640590+1 5.522861-4 2.137962+1 4.119487-4 2.818383+1 3.053042-4 3.981072+1 2.113734-4 6.456542+1 1.277113-4 1.122018+2 7.246223-5 2.238721+2 3.596278-5 4.466836+2 1.793597-5 1.778279+3 4.488705-6 1.000000+5 7.971500-8 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.625100-3 1.373800-4 1.000000+5 1.373800-4 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.625100-3 2.853300-6 1.000000+5 2.853300-6 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.625100-3 1.484867-3 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.461600-3 7.917827+4 1.485000-3 7.836238+4 1.566751-3 7.464829+4 1.621810-3 7.205056+4 1.730000-3 6.691760+4 1.850000-3 6.140820+4 2.041738-3 5.366032+4 2.220000-3 4.756260+4 2.400000-3 4.219460+4 2.600160-3 3.703675+4 3.000000-3 2.890180+4 3.235937-3 2.522940+4 3.548134-3 2.119724+4 4.000000-3 1.678106+4 4.365158-3 1.405665+4 5.000000-3 1.057714+4 5.500000-3 8.602880+3 6.237348-3 6.498678+3 6.918310-3 5.121709+3 7.800000-3 3.861760+3 8.810489-3 2.875420+3 9.885531-3 2.161478+3 1.122018-2 1.567665+3 1.273503-2 1.128527+3 1.450000-2 7.998520+2 1.650000-2 5.637540+2 1.883649-2 3.910910+2 2.162719-2 2.650984+2 2.483133-2 1.784352+2 2.884032-2 1.153528+2 3.388442-2 7.153049+1 4.027170-2 4.251544+1 4.841724-2 2.420739+1 5.956621-2 1.273765+1 7.585776-2 5.970584+0 1.445440-1 7.797461-1 1.798871-1 3.934246-1 2.065380-1 2.568237-1 2.540973-1 1.368656-1 2.917427-1 9.058607-2 3.311311-1 6.247128-2 3.758374-1 4.340655-2 4.168694-1 3.243220-2 4.677351-1 2.363208-2 5.248075-1 1.734838-2 5.821032-1 1.322363-2 6.456542-1 1.015357-2 7.161434-1 7.855383-3 7.943282-1 6.123708-3 8.709636-1 4.922173-3 9.332543-1 4.205507-3 9.885531-1 3.709879-3 1.071519+0 3.140501-3 1.174898+0 2.616800-3 1.288250+0 2.197295-3 1.428894+0 1.819563-3 1.698244+0 1.339511-3 1.905461+0 1.098983-3 2.137962+0 9.081843-4 2.454709+0 7.279491-4 2.818383+0 5.878978-4 3.235937+0 4.782356-4 3.758374+0 3.853160-4 4.365158+0 3.127102-4 5.128614+0 2.515944-4 6.095369+0 2.008252-4 7.413102+0 1.568322-4 9.015711+0 1.234401-4 1.122018+1 9.519276-5 1.445440+1 7.108863-5 1.862087+1 5.350402-5 2.570396+1 3.760908-5 3.715352+1 2.536427-5 5.688529+1 1.624506-5 9.332543+1 9.756676-6 1.862087+2 4.833145-6 3.715352+2 2.408281-6 1.479108+3 6.021580-7 1.000000+5 8.893100-9 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.461600-3 1.143200-4 1.000000+5 1.143200-4 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.461600-3 3.412700-6 1.000000+5 3.412700-6 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.461600-3 1.343867-3 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.346900-3 2.107435+5 1.420000-3 1.960552+5 1.480000-3 1.861492+5 1.570000-3 1.722152+5 1.659587-3 1.590325+5 1.850000-3 1.347424+5 2.070000-3 1.125572+5 2.238721-3 9.856557+4 2.400000-3 8.716240+4 2.818383-3 6.465063+4 3.054921-3 5.535266+4 3.400000-3 4.460600+4 3.801894-3 3.540953+4 4.216965-3 2.834039+4 4.731513-3 2.199080+4 5.308844-3 1.691892+4 5.956621-3 1.293085+4 6.800000-3 9.403400+3 7.585776-3 7.177477+3 8.511380-3 5.367088+3 9.800000-3 3.725192+3 1.120000-2 2.612704+3 1.258925-2 1.902282+3 1.412538-2 1.383598+3 1.603245-2 9.682878+2 1.819701-2 6.729652+2 2.089296-2 4.490631+2 2.400000-2 2.969388+2 2.754229-2 1.955595+2 3.198895-2 1.232372+2 3.715352-2 7.709891+1 4.415704-2 4.450042+1 5.248075-2 2.548228+1 6.382635-2 1.343561+1 8.035261-2 6.274104+0 1.479108-1 8.204856-1 1.798871-1 4.300718-1 2.137962-1 2.450099-1 2.454709-1 1.572558-1 2.786121-1 1.054762-1 3.126079-1 7.388128-2 3.507519-1 5.214425-2 3.890451-1 3.836526-2 4.315191-1 2.841314-2 4.731513-1 2.189485-2 5.188000-1 1.698885-2 5.688529-1 1.327876-2 6.237348-1 1.045274-2 6.839117-1 8.286801-3 7.498942-1 6.615166-3 8.609938-1 4.763646-3 9.225714-1 4.068174-3 9.885531-1 3.499550-3 1.071519+0 2.963646-3 1.174898+0 2.469777-3 1.288250+0 2.073651-3 1.428894+0 1.716761-3 1.698244+0 1.263488-3 1.905461+0 1.036640-3 2.137962+0 8.568246-4 2.454709+0 6.868259-4 2.818383+0 5.546433-4 3.235937+0 4.511629-4 3.758374+0 3.635041-4 4.415704+0 2.903841-4 5.188000+0 2.337518-4 6.165950+0 1.866795-4 7.498942+0 1.458527-4 9.120108+0 1.148406-4 1.135011+1 8.860287-5 1.462177+1 6.619129-5 1.883649+1 4.983432-5 2.570396+1 3.547998-5 3.672823+1 2.422147-5 5.559043+1 1.569641-5 9.120108+1 9.423611-6 1.819701+2 4.666958-6 3.630781+2 2.325149-6 1.445440+3 5.813129-7 1.000000+5 8.389600-9 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.346900-3 1.062700-4 1.000000+5 1.062700-4 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.346900-3 1.618800-6 1.000000+5 1.618800-6 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.346900-3 1.239011-3 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.059600-3 4.787399+5 1.095000-3 5.154732+5 1.135011-3 5.430284+5 1.210000-3 5.566031+5 1.216186-3 5.565797+5 1.244515-3 5.468946+5 1.258925-3 5.375512+5 1.400000-3 4.169080+5 1.513561-3 3.436133+5 1.659587-3 2.714072+5 1.819701-3 2.126479+5 2.000000-3 1.643856+5 2.220000-3 1.229816+5 2.426610-3 9.518229+4 2.754229-3 6.571459+4 3.054921-3 4.812421+4 3.500000-3 3.174240+4 3.935501-3 2.197094+4 4.415704-3 1.522020+4 5.069907-3 9.702154+3 5.688529-3 6.617592+3 6.456542-3 4.312842+3 7.413102-3 2.679893+3 8.413951-3 1.719582+3 9.549926-3 1.095860+3 1.096478-2 6.652362+2 1.258925-2 4.006672+2 1.450000-2 2.366748+2 1.659587-2 1.421064+2 1.905461-2 8.374364+1 2.187762-2 4.904047+1 2.570396-2 2.608111+1 3.054921-2 1.315992+1 3.715352-2 6.014636+0 4.731513-2 2.266573+0 8.709636-2 1.903751-1 1.071519-1 8.257951-2 1.273503-1 4.145079-2 1.500000-1 2.171663-2 1.737801-1 1.223667-2 1.995262-1 7.195078-3 2.264644-1 4.451815-3 2.540973-1 2.897243-3 2.851018-1 1.899713-3 3.126079-1 1.364099-3 3.467369-1 9.465260-4 3.845918-1 6.613152-4 4.315191-1 4.473835-4 4.786301-1 3.171741-4 5.248075-1 2.352451-4 5.688529-1 1.822103-4 6.095369-1 1.471912-4 6.606935-1 1.157040-4 7.244360-1 8.855444-5 8.035261-1 6.601502-5 8.609938-1 5.395775-5 9.120108-1 4.592849-5 9.549926-1 4.063686-5 1.000000+0 3.621656-5 1.047129+0 3.254238-5 1.096478+0 2.945012-5 1.148154+0 2.681570-5 1.216186+0 2.402183-5 1.318257+0 2.077939-5 1.513561+0 1.643374-5 1.819701+0 1.189924-5 2.018366+0 9.984714-6 2.317395+0 7.977542-6 2.660725+0 6.422743-6 3.054921+0 5.208999-6 3.548134+0 4.184557-6 4.120975+0 3.386851-6 4.841724+0 2.717698-6 5.754399+0 2.163916-6 6.918310+0 1.710328-6 8.413951+0 1.342485-6 1.047129+1 1.032779-6 1.318257+1 7.900440-7 1.678804+1 6.006327-7 2.213095+1 4.426729-7 3.019952+1 3.163553-7 4.265795+1 2.193706-7 6.998420+1 1.311430-7 1.258925+2 7.191681-8 2.511886+2 3.572882-8 5.011872+2 1.782846-8 3.981072+3 2.236188-9 1.000000+5 8.89580-11 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.059600-3 7.343200-5 1.000000+5 7.343200-5 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.059600-3 3.126500-6 1.000000+5 3.126500-6 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.059600-3 9.830415-4 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.034600-3 1.251932+6 1.100000-3 1.074272+6 1.150000-3 9.759960+5 1.230269-3 8.270969+5 1.364583-3 6.436836+5 1.479108-3 5.261445+5 1.621810-3 4.147463+5 1.778279-3 3.243202+5 1.950000-3 2.518830+5 2.213095-3 1.765439+5 2.400000-3 1.394664+5 2.754229-3 9.279773+4 3.019952-3 7.016651+4 3.427678-3 4.745524+4 3.845918-3 3.298649+4 4.315191-3 2.278568+4 4.897788-3 1.503870+4 5.432503-3 1.063851+4 6.165950-3 6.919292+3 7.079458-3 4.288165+3 8.035261-3 2.743627+3 9.015711-3 1.816997+3 1.023293-2 1.147217+3 1.161449-2 7.192622+2 1.333521-2 4.288464+2 1.531087-2 2.536915+2 1.737801-2 1.557422+2 1.995262-2 9.083835+1 2.317395-2 5.028843+1 2.754229-2 2.519953+1 3.311311-2 1.195534+1 4.000000-2 5.518038+0 5.069907-2 2.074327+0 8.912509-2 1.996770-1 1.083927-1 8.918861-2 1.273503-1 4.623157-2 1.479108-1 2.530146-2 1.678804-1 1.529528-2 1.905461-1 9.315508-3 2.000000-1 7.723680-3 2.089296-1 6.556590-3 2.317395-1 4.427251-3 2.570396-1 3.009789-3 2.851018-1 2.060765-3 3.162278-1 1.421868-3 3.467369-1 1.029715-3 3.758374-1 7.814093-4 4.027170-1 6.201620-4 4.365158-1 4.772191-4 4.731513-1 3.697524-4 5.128614-1 2.884454-4 5.559043-1 2.265254-4 6.165950-1 1.674550-4 6.683439-1 1.331283-4 7.244360-1 1.065245-4 7.852356-1 8.585672-5 8.511380-1 6.957409-5 9.015711-1 6.023426-5 9.549926-1 5.250838-5 1.000000+0 4.731757-5 1.059254+0 4.184052-5 1.135011+0 3.637010-5 1.216186+0 3.183110-5 1.333521+0 2.685668-5 1.698244+0 1.751377-5 1.905461+0 1.436397-5 2.137962+0 1.186861-5 2.454709+0 9.513167-6 2.818383+0 7.683167-6 3.235937+0 6.250116-6 3.758374+0 5.035730-6 4.365158+0 4.086819-6 5.128614+0 3.288134-6 6.095369+0 2.624714-6 7.413102+0 2.049675-6 9.015711+0 1.613206-6 1.122018+1 1.244067-6 1.445440+1 9.290598-7 1.862087+1 6.992477-7 2.540973+1 4.976634-7 3.672823+1 3.355500-7 5.559043+1 2.174507-7 9.015711+1 1.320947-7 1.798871+2 6.541164-8 3.589219+2 3.258617-8 1.428894+3 8.146573-9 1.000000+5 1.16230-10 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.034600-3 7.045900-5 1.000000+5 7.045900-5 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.034600-3 9.607800-9 1.000000+5 9.607800-9 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.034600-3 9.641314-4 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 3.280700-4 1.172111+5 3.680000-4 1.091832+5 4.466836-4 9.314955+4 4.731513-4 8.833886+4 5.500000-4 7.535140+4 5.956621-4 6.895636+4 6.500000-4 6.206120+4 7.500000-4 5.173280+4 8.222426-4 4.573026+4 9.549926-4 3.703904+4 1.071519-3 3.127609+4 1.244515-3 2.489975+4 1.445440-3 1.964705+4 1.659587-3 1.568362+4 1.949845-3 1.197080+4 2.317395-3 8.889494+3 2.754229-3 6.553153+3 3.311311-3 4.698198+3 4.027170-3 3.274263+3 4.897788-3 2.264631+3 6.000000-3 1.533066+3 7.244360-3 1.058968+3 8.609938-3 7.493008+2 1.035142-2 5.141630+2 1.244515-2 3.499738+2 1.479108-2 2.422285+2 1.757924-2 1.664481+2 2.089296-2 1.135166+2 2.483133-2 7.681667+1 2.951209-2 5.157516+1 3.467369-2 3.529477+1 4.120975-2 2.332668+1 4.897788-2 1.529640+1 5.821032-2 9.949338+0 7.000000-2 6.234933+0 8.317638-2 3.998901+0 1.023293-1 2.324101+0 1.318257-1 1.186964+0 2.344229-1 2.532859-1 2.884032-1 1.461134-1 3.427678-1 9.300958-2 3.935501-1 6.523375-2 4.466836-1 4.743627-2 5.069907-1 3.474582-2 5.688529-1 2.636822-2 6.382635-1 2.015743-2 7.161434-1 1.552863-2 8.035261-1 1.205600-2 8.912509-1 9.657479-3 9.772372-1 7.984189-3 1.109175+0 6.207861-3 1.258925+0 4.860611-3 1.412538+0 3.920427-3 1.603245+0 3.118600-3 1.798871+0 2.550825-3 2.018366+0 2.101281-3 2.317395+0 1.679004-3 2.660725+0 1.351784-3 3.054921+0 1.096301-3 3.548134+0 8.806756-4 4.120975+0 7.127768-4 4.841724+0 5.719465-4 5.754399+0 4.554023-4 6.918310+0 3.599473-4 8.413951+0 2.825292-4 1.047129+1 2.173526-4 1.318257+1 1.662642-4 1.678804+1 1.264088-4 2.213095+1 9.316231-5 3.019952+1 6.657739-5 4.216965+1 4.672845-5 6.918310+1 2.792972-5 1.230269+2 1.549431-5 2.454709+2 7.696064-6 4.897788+2 3.839881-6 1.949845+3 9.613706-7 1.000000+5 1.872100-8 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 3.280700-4 7.206700-5 1.000000+5 7.206700-5 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.280700-4 1.585200-8 1.000000+5 1.585200-8 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.280700-4 2.559871-4 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 2.650100-4 9.404149+4 3.715352-4 8.805635+4 4.100000-4 8.560140+4 4.415704-4 8.324359+4 4.731513-4 8.060387+4 5.069907-4 7.751560+4 5.432503-4 7.401056+4 5.888437-4 6.964974+4 6.382635-4 6.510151+4 6.918310-4 6.036293+4 7.585776-4 5.494004+4 8.222426-4 5.029288+4 9.015711-4 4.511548+4 1.000000-3 3.962160+4 1.096478-3 3.505494+4 1.230269-3 2.982302+4 1.364583-3 2.559085+4 1.531087-3 2.142006+4 1.698244-3 1.812316+4 1.905461-3 1.494532+4 2.150000-3 1.211408+4 2.426610-3 9.738827+3 2.754229-3 7.689618+3 3.126079-3 6.024036+3 3.548134-3 4.683090+3 4.027170-3 3.613507+3 4.570882-3 2.767515+3 5.188000-3 2.103988+3 5.888437-3 1.587520+3 6.683439-3 1.188678+3 7.500000-3 9.074220+2 8.413951-3 6.889040+2 9.549926-3 5.049516+2 1.083927-2 3.674481+2 1.230269-2 2.655121+2 1.412538-2 1.848330+2 1.621810-2 1.276713+2 1.862087-2 8.752319+1 2.137962-2 5.955804+1 2.483133-2 3.893595+1 2.884032-2 2.525822+1 3.349654-2 1.626389+1 3.935501-2 1.004873+1 4.677351-2 5.954174+0 5.559043-2 3.502959+0 7.000000-2 1.710912+0 9.885531-2 5.790611-1 1.445440-1 1.752435-1 1.798871-1 8.864713-2 2.187762-1 4.854997-2 2.540973-1 3.084651-2 2.917427-1 2.043399-2 3.311311-1 1.410503-2 3.758374-1 9.807754-3 4.216965-1 7.098343-3 4.731513-1 5.174812-3 5.308844-1 3.801777-3 5.888437-1 2.900942-3 6.531306-1 2.229995-3 7.244360-1 1.727075-3 8.413951-1 1.206885-3 9.015711-1 1.027729-3 9.660509-1 8.811443-4 1.023293+0 7.800722-4 1.109175+0 6.623060-4 1.216186+0 5.534820-4 1.333521+0 4.660848-4 1.531087+0 3.637304-4 1.757924+0 2.851319-4 1.972423+0 2.344373-4 2.264644+0 1.870922-4 2.600160+0 1.504394-4 3.000000+0 1.209600-4 3.467369+0 9.776527-5 4.027170+0 7.903955-5 4.731513+0 6.335379-5 5.623413+0 5.039171-5 6.760830+0 3.979195-5 8.222427+0 3.120513-5 1.011579+1 2.431615-5 1.258925+1 1.882709-5 1.621810+1 1.410975-5 2.137962+1 1.038986-5 2.818383+1 7.700127-6 3.981072+1 5.330966-6 6.456542+1 3.221135-6 1.109175+2 1.849138-6 2.213095+2 9.176316-7 4.415704+2 4.576358-7 1.757924+3 1.145206-7 1.000000+5 2.010500-9 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 2.650100-4 5.692800-5 1.000000+5 5.692800-5 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.650100-4 1.854700-8 1.000000+5 1.854700-8 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.650100-4 2.080635-4 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 2.398700-4 3.234700+5 2.786121-4 3.053074+5 3.126079-4 2.903824+5 3.467369-4 2.753573+5 3.801894-4 2.605482+5 4.120975-4 2.464833+5 4.466836-4 2.315640+5 4.850000-4 2.154396+5 5.308844-4 1.975052+5 5.800000-4 1.801796+5 6.309573-4 1.639014+5 7.000000-4 1.447136+5 7.673615-4 1.287502+5 8.511380-4 1.119914+5 9.440609-4 9.673572+4 1.059254-3 8.153173+4 1.174898-3 6.942545+4 1.318257-3 5.764953+4 1.479108-3 4.751275+4 1.659587-3 3.888156+4 1.883649-3 3.094311+4 2.150000-3 2.416668+4 2.454709-3 1.870402+4 2.786121-3 1.452852+4 3.150000-3 1.129244+4 3.548134-3 8.787454+3 4.000000-3 6.781560+3 4.500000-3 5.224240+3 5.069907-3 3.985932+3 5.754399-3 2.969306+3 6.531306-3 2.195171+3 7.413102-3 1.610510+3 8.413951-3 1.172320+3 9.549926-3 8.470460+2 1.083927-2 6.075827+2 1.230269-2 4.326465+2 1.396368-2 3.059048+2 1.603245-2 2.079488+2 1.840772-2 1.402418+2 2.113489-2 9.384378+1 2.426610-2 6.232093+1 2.786121-2 4.109113+1 3.235937-2 2.596746+1 3.758374-2 1.628738+1 4.415704-2 9.780526+0 5.248075-2 5.617989+0 6.382635-2 2.971625+0 7.943282-2 1.446284+0 1.531088-1 1.633527-1 1.840772-1 8.911763-2 2.187762-1 5.087052-2 2.511886-1 3.271668-2 2.851018-1 2.198804-2 3.198895-1 1.543010-2 3.589219-1 1.091020-2 4.000000-1 7.932739-3 4.415705-1 5.972591-3 4.897788-1 4.469790-3 5.370318-1 3.478875-3 5.888437-1 2.726069-3 6.456542-1 2.151702-3 7.079458-1 1.710465-3 7.762471-1 1.369161-3 8.609938-1 1.071450-3 9.225714-1 9.153042-4 9.885531-1 7.875472-4 1.071519+0 6.670330-4 1.174898+0 5.559189-4 1.288250+0 4.667506-4 1.428894+0 3.863912-4 1.698244+0 2.843531-4 1.905461+0 2.333011-4 2.137962+0 1.928376-4 2.454709+0 1.545796-4 2.818383+0 1.248297-4 3.235937+0 1.015390-4 3.758374+0 8.180943-5 4.365158+0 6.639264-5 5.128614+0 5.341675-5 6.095369+0 4.263926-5 7.328245+0 3.377907-5 8.912509+0 2.657430-5 1.109175+1 2.048545-5 1.412538+1 1.549372-5 1.819701+1 1.165417-5 2.483133+1 8.288279-6 3.589219+1 5.585854-6 5.248075+1 3.750488-6 8.511380+1 2.276316-6 1.678804+2 1.139655-6 3.349654+2 5.674777-7 1.333521+3 1.418251-7 1.000000+5 1.888100-9 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 2.398700-4 4.987600-5 1.000000+5 4.987600-5 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.398700-4 1.006300-8 1.000000+5 1.006300-8 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.398700-4 1.899839-4 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.350500-4 4.165440+5 1.355000-4 4.356160+5 1.375000-4 5.393640+5 1.385000-4 5.968720+5 1.393000-4 6.431280+5 1.400000-4 6.823080+5 1.407000-4 7.193000+5 1.415000-4 7.578280+5 1.422000-4 7.874360+5 1.428894-4 8.123055+5 1.435000-4 8.304400+5 1.442000-4 8.466760+5 1.450000-4 8.591440+5 1.457000-4 8.650520+5 1.465000-4 8.665200+5 1.473000-4 8.629720+5 1.481000-4 8.551400+5 1.492000-4 8.386920+5 1.505000-4 8.129400+5 1.520000-4 7.777840+5 1.535000-4 7.394680+5 1.550000-4 7.000200+5 1.570000-4 6.476640+5 1.590000-4 5.971160+5 1.621810-4 5.224293+5 1.659587-4 4.440216+5 1.750000-4 3.025232+5 1.780000-4 2.689004+5 1.810000-4 2.410368+5 1.835000-4 2.217520+5 1.858000-4 2.068376+5 1.880000-4 1.948368+5 1.900000-4 1.856444+5 1.922000-4 1.772524+5 1.945000-4 1.701908+5 1.965000-4 1.653304+5 1.990000-4 1.607292+5 2.010000-4 1.580996+5 2.030000-4 1.563008+5 2.050000-4 1.552472+5 2.070000-4 1.548604+5 2.100000-4 1.553736+5 2.128000-4 1.568676+5 2.162719-4 1.598457+5 2.205000-4 1.648056+5 2.260000-4 1.728700+5 2.344229-4 1.874166+5 2.500000-4 2.170328+5 2.600160-4 2.358744+5 2.691535-4 2.519871+5 2.786121-4 2.670771+5 2.884032-4 2.808307+5 2.985383-4 2.930652+5 3.100000-4 3.045792+5 3.200000-4 3.127440+5 3.320000-4 3.203804+5 3.430000-4 3.254592+5 3.550000-4 3.291200+5 3.700000-4 3.313420+5 3.850000-4 3.314264+5 4.027170-4 3.293165+5 4.216965-4 3.249058+5 4.430000-4 3.179568+5 4.677351-4 3.079552+5 4.954502-4 2.953668+5 5.248075-4 2.811924+5 5.559043-4 2.657267+5 5.900000-4 2.488964+5 6.309573-4 2.295286+5 6.700000-4 2.120856+5 7.161434-4 1.929739+5 7.673615-4 1.738513+5 8.222426-4 1.555595+5 8.912509-4 1.355975+5 9.549926-4 1.198000+5 1.042000-3 1.016433+5 1.122018-3 8.786097+4 1.230269-3 7.269466+4 1.333521-3 6.118091+4 1.462177-3 4.987266+4 1.603245-3 4.034535+4 1.757924-3 3.241791+4 1.950000-3 2.513936+4 2.187762-3 1.877962+4 2.454709-3 1.389393+4 2.722701-3 1.051164+4 3.054921-3 7.646195+3 3.427678-3 5.514658+3 3.845918-3 3.943484+3 4.315191-3 2.797858+3 4.786301-3 2.039392+3 5.370318-3 1.424176+3 6.025596-3 9.868297+2 6.760830-3 6.785620+2 7.585776-3 4.631048+2 8.511380-3 3.137034+2 9.660509-3 2.027725+2 1.096478-2 1.300431+2 1.244515-2 8.275695+1 1.412538-2 5.228227+1 1.621810-2 3.143380+1 1.862087-2 1.875420+1 2.137962-2 1.110588+1 2.483133-2 6.246508+0 2.917427-2 3.334749+0 3.467369-2 1.688919+0 4.216965-2 7.750747-1 5.370318-2 2.936611-1 9.120108-2 3.472069-2 1.135011-1 1.446821-2 1.348963-1 7.297897-3 1.566751-1 4.059729-3 1.798871-1 2.378472-3 2.065380-1 1.403566-3 2.344229-1 8.715151-4 2.630268-1 5.690481-4 2.951209-1 3.743417-4 3.273407-1 2.586926-4 3.630781-1 1.800453-4 4.027170-1 1.262386-4 4.466836-1 8.921159-5 4.954502-1 6.354034-5 5.432503-1 4.729559-5 5.956621-1 3.545000-5 6.456542-1 2.774522-5 7.079458-1 2.112464-5 8.035261-1 1.468966-5 8.609938-1 1.203001-5 9.120108-1 1.025620-5 9.549926-1 9.083017-6 1.000000+0 8.098100-6 1.035142+0 7.467867-6 1.083927+0 6.748056-6 1.135011+0 6.137981-6 1.202264+0 5.493764-6 1.303167+0 4.747013-6 1.428894+0 4.050122-6 1.513561+0 3.674553-6 1.819701+0 2.660024-6 2.018366+0 2.232525-6 2.317395+0 1.784134-6 2.660725+0 1.436326-6 3.054921+0 1.164726-6 3.548134+0 9.356657-7 4.120975+0 7.572997-7 4.841724+0 6.076727-7 5.754399+0 4.838386-7 6.918310+0 3.824357-7 8.413951+0 3.001790-7 1.047129+1 2.309347-7 1.318257+1 1.766544-7 1.678804+1 1.343002-7 2.213095+1 9.898233-8 3.019952+1 7.073577-8 4.265795+1 4.905209-8 6.918310+1 2.967465-8 1.244515+2 1.626977-8 2.483133+2 8.082574-9 4.954502+2 4.032876-9 1.972423+3 1.009712-9 1.000000+5 1.98910-11 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.350500-4 3.217200-5 1.000000+5 3.217200-5 1 61000 7 7 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.350500-4 1.437000-8 1.000000+5 1.437000-8 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.350500-4 1.028636-4 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.305900-4 6.134820+5 1.324000-4 7.630380+5 1.333521-4 8.497443+5 1.340000-4 9.091500+5 1.348000-4 9.813060+5 1.354000-4 1.033356+6 1.360000-4 1.082598+6 1.367000-4 1.135356+6 1.373000-4 1.175796+6 1.380384-4 1.218613+6 1.387700-4 1.252845+6 1.395000-4 1.278558+6 1.403000-4 1.297146+6 1.411000-4 1.306116+6 1.419000-4 1.306338+6 1.427000-4 1.298838+6 1.435000-4 1.284756+6 1.445440-4 1.258388+6 1.458000-4 1.217766+6 1.472000-4 1.165086+6 1.485000-4 1.112328+6 1.500000-4 1.049712+6 1.520000-4 9.667860+5 1.548817-4 8.533966+5 1.584893-4 7.259994+5 1.693900-4 4.461629+5 1.720000-4 4.006962+5 1.740000-4 3.707196+5 1.760000-4 3.446124+5 1.780000-4 3.220662+5 1.800000-4 3.027600+5 1.820000-4 2.863866+5 1.842000-4 2.714424+5 1.865000-4 2.588796+5 1.885000-4 2.502210+5 1.905461-4 2.433159+5 1.927525-4 2.378401+5 1.950000-4 2.341278+5 1.973000-4 2.320482+5 2.000000-4 2.315412+5 2.020000-4 2.323404+5 2.050000-4 2.351430+5 2.080000-4 2.395692+5 2.120000-4 2.474850+5 2.170000-4 2.597922+5 2.238721-4 2.795198+5 2.371374-4 3.214765+5 2.454709-4 3.480058+5 2.540973-4 3.743585+5 2.630268-4 3.996692+5 2.722701-4 4.232068+5 2.800000-4 4.406004+5 2.900000-4 4.599900+5 3.000000-4 4.760784+5 3.100000-4 4.891854+5 3.200000-4 4.995996+5 3.320000-4 5.088426+5 3.430000-4 5.144370+5 3.550000-4 5.177142+5 3.700000-4 5.183004+5 3.850000-4 5.158224+5 4.050000-4 5.089638+5 4.216965-4 5.006810+5 4.430000-4 4.876854+5 4.677351-4 4.701381+5 4.954502-4 4.487289+5 5.248075-4 4.252734+5 5.559043-4 4.003451+5 5.900000-4 3.735804+5 6.309573-4 3.430251+5 6.760830-4 3.118667+5 7.244360-4 2.814866+5 7.800000-4 2.504022+5 8.413951-4 2.204817+5 9.120108-4 1.910490+5 9.885531-4 1.643321+5 1.071519-3 1.403252+5 1.174898-3 1.162064+5 1.273503-3 9.783124+4 1.396368-3 7.979461+4 1.548817-3 6.286077+4 1.698244-3 5.046259+4 1.862087-3 4.024903+4 2.070000-3 3.078768+4 2.317395-3 2.292510+4 2.600160-3 1.681579+4 2.917427-3 1.222489+4 3.273407-3 8.809656+3 3.630781-3 6.512916+3 4.027170-3 4.782142+3 4.518559-3 3.365757+3 5.011872-3 2.436821+3 5.559043-3 1.752813+3 6.165950-3 1.252637+3 6.918310-3 8.558890+2 7.762471-3 5.803022+2 8.709636-3 3.906669+2 9.772372-3 2.610559+2 1.109175-2 1.662500+2 1.258925-2 1.050717+2 1.428894-2 6.591498+1 1.621810-2 4.105062+1 1.862087-2 2.429598+1 2.137962-2 1.426752+1 2.454709-2 8.317205+0 2.851018-2 4.601059+0 3.349654-2 2.413106+0 4.027170-2 1.144677+0 5.011872-2 4.680263-1 6.382635-2 1.728370-1 9.015711-2 4.153048-2 1.109175-1 1.777219-2 1.303167-1 9.248069-3 1.500000-1 5.265273-3 1.717908-1 3.080924-3 1.927525-1 1.968190-3 2.162719-1 1.265879-3 2.398833-1 8.567593-4 2.660725-1 5.842867-4 2.917427-1 4.187754-4 3.198895-1 3.023699-4 3.507519-1 2.199878-4 3.845918-1 1.612550-4 4.216965-1 1.190480-4 4.570882-1 9.184981-5 4.954502-1 7.131248-5 5.370318-1 5.572845-5 5.821032-1 4.385680-5 6.165950-1 3.714775-5 6.683439-1 2.966340-5 7.244360-1 2.385747-5 8.609938-1 1.517875-5 9.120108-1 1.313034-5 9.660509-1 1.143884-5 1.011579+0 1.030746-5 1.071519+0 9.113206-6 1.135011+0 8.106790-6 1.216186+0 7.092991-6 1.318257+0 6.114588-6 1.798871+0 3.541176-6 2.000000+0 2.959200-6 2.290868+0 2.372412-6 2.630268+0 1.908790-6 3.019952+0 1.546996-6 3.507519+0 1.242041-6 4.073803+0 1.004725-6 4.786301+0 8.057537-7 5.688529+0 6.412325-7 6.839116+0 5.065916-7 8.317638+0 3.974576-7 1.035142+1 3.056364-7 1.303167+1 2.337152-7 1.659587+1 1.776217-7 2.162719+1 1.325325-7 2.851018+1 9.824398-8 4.000000+1 6.851800-8 6.531306+1 4.111512-8 1.122018+2 2.360696-8 2.238721+2 1.171596-8 4.466836+2 5.843419-9 1.778279+3 1.462337-9 1.000000+5 2.59700-11 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.305900-4 3.063900-5 1.000000+5 3.063900-5 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.305900-4 9.995100-5 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 8.880000-6 1.806733+5 9.120108-6 1.779461+5 9.440609-6 1.752961+5 9.700000-6 1.740193+5 1.000000-5 1.734422+5 1.035142-5 1.740018+5 1.071519-5 1.757643+5 1.110000-5 1.789402+5 1.150000-5 1.835619+5 1.190000-5 1.893750+5 1.230269-5 1.963739+5 1.273503-5 2.051091+5 1.330000-5 2.182674+5 1.396368-5 2.360437+5 1.462177-5 2.559393+5 1.548817-5 2.853383+5 1.659587-5 3.278008+5 1.819701-5 3.980499+5 2.187762-5 5.915650+5 2.400000-5 7.171724+5 2.570396-5 8.216451+5 2.730000-5 9.195098+5 2.900000-5 1.021906+6 3.054921-5 1.112080+6 3.235937-5 1.212274+6 3.427678-5 1.311139+6 3.630781-5 1.407334+6 3.850000-5 1.501931+6 4.073803-5 1.589356+6 4.365158-5 1.690307+6 4.677351-5 1.784546+6 5.011872-5 1.870379+6 5.308844-5 1.932956+6 5.650000-5 1.989856+6 5.956621-5 2.026627+6 6.309573-5 2.052730+6 6.683439-5 2.064736+6 7.079458-5 2.061683+6 7.585776-5 2.041688+6 8.128305-5 2.006987+6 8.810489-5 1.952838+6 9.500000-5 1.889983+6 1.023293-4 1.818065+6 1.096478-4 1.739869+6 1.161449-4 1.668667+6 1.244515-4 1.575575+6 1.333521-4 1.478679+6 1.450000-4 1.357984+6 1.548817-4 1.261109+6 1.650000-4 1.168058+6 1.778279-4 1.057489+6 1.905461-4 9.571009+5 2.041738-4 8.607206+5 2.190000-4 7.675017+5 2.350000-4 6.785473+5 2.500000-4 6.051179+5 2.691535-4 5.239508+5 2.884032-4 4.546138+5 3.090295-4 3.917921+5 3.311311-4 3.354939+5 3.548134-4 2.855087+5 3.845918-4 2.347555+5 4.168694-4 1.915410+5 4.518559-4 1.551428+5 4.897788-4 1.247965+5 5.308844-4 9.973671+4 5.821032-4 7.662320+4 6.382635-4 5.843712+4 7.000000-4 4.422392+4 7.673615-4 3.328404+4 8.413951-4 2.486648+4 9.332543-4 1.778052+4 1.035142-3 1.262200+4 1.148154-3 8.897158+3 1.273503-3 6.228774+3 1.412538-3 4.331837+3 1.584893-3 2.872040+3 1.778279-3 1.889663+3 2.000000-3 1.222941+3 2.238721-3 7.995620+2 2.511886-3 5.143225+2 2.818383-3 3.284422+2 3.162278-3 2.082569+2 3.427678-3 1.506181+2 3.890451-3 8.974244+1 4.466836-3 5.063752+1 5.011872-3 3.121250+1 5.623413-3 1.908152+1 6.309573-3 1.158232+1 7.161434-3 6.636184+0 8.128305-3 3.772558+0 9.332543-3 2.022011+0 1.122018-2 8.725963-1 1.303167-2 4.375747-1 1.500000-2 2.271210-1 1.737801-2 1.134337-1 2.018366-2 5.557607-2 2.371374-2 2.554052-2 2.851018-2 1.041583-2 3.589219-2 3.365041-3 6.237348-2 2.216911-4 7.852356-2 7.182667-5 9.332543-2 3.101876-5 1.071519-1 1.595023-5 1.216186-1 8.727071-6 1.380384-1 4.809856-6 1.548817-1 2.819003-6 1.737801-1 1.665069-6 1.949845-1 9.909011-7 2.187762-1 5.935430-7 2.398833-1 3.963609-7 2.630268-1 2.664977-7 2.851018-1 1.895194-7 3.090295-1 1.356407-7 3.349654-1 9.773908-8 3.672823-1 6.768725-8 4.168694-1 4.123136-8 4.570882-1 2.892464-8 5.000000-1 2.063100-8 5.432503-1 1.521123-8 5.888437-1 1.139727-8 6.309573-1 8.964556-9 6.839117-1 6.827911-9 7.413102-1 5.238338-9 8.035261-1 4.040883-9 8.511380-1 3.332819-9 8.912509-1 2.874009-9 9.225714-1 2.584197-9 9.549926-1 2.335313-9 9.885531-1 2.122784-9 1.023293+0 1.942503-9 1.059254+0 1.788585-9 1.096478+0 1.655900-9 1.148154+0 1.505293-9 1.202264+0 1.378129-9 1.288250+0 1.218432-9 1.380384+0 1.085070-9 1.500000+0 9.49360-10 1.883649+0 6.37788-10 2.065380+0 5.46597-10 2.371374+0 4.37316-10 2.722701+0 3.52513-10 3.126079+0 2.86228-10 3.630781+0 2.30205-10 4.216965+0 1.86525-10 4.954502+0 1.49837-10 5.888437+0 1.19427-10 7.079458+0 9.44803-11 8.609938+0 7.42274-11 1.071519+1 5.71508-11 1.348963+1 4.37512-11 1.717908+1 3.32847-11 2.290868+1 2.42368-11 3.311311+1 1.63018-11 4.623810+1 1.14650-11 7.585776+1 6.86305-12 1.445440+2 3.55346-12 2.884032+2 1.76741-12 1.148154+3 4.41406-13 1.000000+5 5.05820-15 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 8.880000-6 8.880000-6 1.000000+5 8.880000-6 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 8.880000-6 0.0 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 8.350000-6 2.578323+5 8.609938-6 2.526947+5 8.912509-6 2.487528+5 9.225714-6 2.464644+5 9.600000-6 2.459649+5 9.930000-6 2.474309+5 1.023293-5 2.501277+5 1.060000-5 2.550417+5 1.100000-5 2.623152+5 1.135011-5 2.701704+5 1.180000-5 2.820957+5 1.230269-5 2.976777+5 1.290000-5 3.190311+5 1.350000-5 3.433139+5 1.428894-5 3.791802+5 1.513561-5 4.221814+5 1.640590-5 4.946270+5 2.162719-5 8.707010+5 2.350000-5 1.025528+6 2.511886-5 1.162520+6 2.660725-5 1.288460+6 2.818383-5 1.419016+6 2.985383-5 1.551698+6 3.162278-5 1.684926+6 3.350000-5 1.816481+6 3.548134-5 1.943120+6 3.758374-5 2.065320+6 4.000000-5 2.191695+6 4.265795-5 2.313817+6 4.570882-5 2.436462+6 4.900000-5 2.548332+6 5.248075-5 2.643679+6 5.559043-5 2.709909+6 5.900000-5 2.760092+6 6.237348-5 2.789435+6 6.606934-5 2.800575+6 7.000000-5 2.791691+6 7.500000-5 2.760354+6 8.035261-5 2.708187+6 8.709636-5 2.630723+6 9.549926-5 2.521191+6 1.023293-4 2.424707+6 1.100000-4 2.311392+6 1.174898-4 2.196059+6 1.260000-4 2.066772+6 1.380384-4 1.890724+6 1.500000-4 1.727250+6 1.584893-4 1.618408+6 1.698244-4 1.481787+6 1.826000-4 1.339049+6 1.927525-4 1.235580+6 2.089296-4 1.087909+6 2.264644-4 9.488643+5 2.450000-4 8.221963+5 2.630268-4 7.166334+5 2.818383-4 6.225483+5 3.019952-4 5.371924+5 3.235937-4 4.605242+5 3.467369-4 3.923385+5 3.758374-4 3.229869+5 4.073803-4 2.638371+5 4.415704-4 2.139380+5 4.786301-4 1.722663+5 5.188000-4 1.377952+5 5.688529-4 1.059530+5 6.237348-4 8.086516+4 6.839116-4 6.128495+4 7.585776-4 4.451549+4 8.317638-4 3.327722+4 9.225714-4 2.380909+4 1.023293-3 1.690643+4 1.135011-3 1.191674+4 1.258925-3 8.338997+3 1.396368-3 5.793321+3 1.548817-3 3.996820+3 1.737801-3 2.626458+3 2.000000-3 1.560634+3 2.238721-3 1.020218+3 2.483133-3 6.855631+2 2.691535-3 5.005291+2 3.000000-3 3.249218+2 3.349654-3 2.079607+2 3.935501-3 1.072546+2 4.466836-3 6.325707+1 5.011872-3 3.887181+1 5.559043-3 2.492611+1 6.237348-3 1.509311+1 7.079458-3 8.627197+0 8.128305-3 4.649100+0 9.332543-3 2.487826+0 1.071519-2 1.321606+0 1.244515-2 6.608236-1 1.445440-2 3.280944-1 1.678804-2 1.616628-1 1.927525-2 8.351887-2 2.162719-2 4.785696-2 2.540973-2 2.177536-2 3.162278-2 7.409445-3 4.265795-2 1.680814-3 7.328245-2 1.144779-4 8.709636-2 4.887900-5 1.011580-1 2.353331-5 1.161449-1 1.206667-5 1.303167-1 6.962407-6 1.445440-1 4.271133-6 1.603245-1 2.638760-6 1.778279-1 1.641598-6 1.972423-1 1.028758-6 2.187762-1 6.490423-7 2.398833-1 4.342631-7 2.600160-1 3.076294-7 2.818383-1 2.195734-7 3.054921-1 1.578461-7 3.273407-1 1.196634-7 3.548134-1 8.727633-8 3.845918-1 6.411693-8 4.168694-1 4.743151-8 4.518559-1 3.528038-8 4.897788-1 2.643434-8 5.248075-1 2.077996-8 5.623413-1 1.645863-8 6.025596-1 1.312353-8 6.456542-1 1.053418-8 6.918310-1 8.514529-9 7.413102-1 6.925886-9 8.035261-1 5.484047-9 8.609938-1 4.509590-9 9.120108-1 3.852747-9 9.691100-1 3.284400-9 1.000000+0 3.033200-9 1.035142+0 2.794844-9 1.083927+0 2.523042-9 1.135011+0 2.293212-9 1.202264+0 2.051331-9 1.288250+0 1.809528-9 1.396368+0 1.575031-9 1.513561+0 1.376383-9 1.840772+0 9.76971-10 2.018366+0 8.36215-10 2.317395+0 6.68206-10 2.660725+0 5.37960-10 3.054921+0 4.36263-10 3.548134+0 3.50460-10 4.120975+0 2.83650-10 4.841724+0 2.27610-10 5.754399+0 1.81222-10 6.918310+0 1.43246-10 8.413951+0 1.12438-10 1.047129+1 8.64965-11 1.318257+1 6.61668-11 1.678804+1 5.03040-11 2.200000+1 3.73160-11 2.951209+1 2.71568-11 4.120975+1 1.90509-11 6.683439+1 1.15183-11 1.161449+2 6.53815-12 2.317395+2 3.24584-12 4.623810+2 1.61913-12 1.840772+3 4.05270-13 1.000000+5 7.45030-15 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 8.350000-6 8.350000-6 1.000000+5 8.350000-6 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 8.350000-6 0.0 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 4.627000-5 5.489220+4 4.677351-5 5.585599+4 4.841724-5 5.966237+4 5.308844-5 7.223842+4 5.580000-5 7.962040+4 5.821032-5 8.583631+4 6.070000-5 9.175700+4 6.309573-5 9.690056+4 6.531306-5 1.011525+5 6.800000-5 1.056174+5 7.079458-5 1.094666+5 7.328245-5 1.122269+5 7.585776-5 1.144510+5 7.900000-5 1.163586+5 8.222426-5 1.175034+5 8.609938-5 1.179777+5 9.015711-5 1.176502+5 9.500000-5 1.164584+5 1.011579-4 1.141190+5 1.083927-4 1.107090+5 1.161449-4 1.066678+5 1.244515-4 1.021145+5 1.333521-4 9.711314+4 1.428894-4 9.176113+4 1.548817-4 8.526404+4 1.698244-4 7.781717+4 1.905461-4 6.886665+4 2.113489-4 6.125115+4 2.371374-4 5.333918+4 2.754229-4 4.418063+4 3.126079-4 3.743343+4 3.715352-4 2.959568+4 4.315191-4 2.398917+4 5.188000-4 1.838232+4 6.237348-4 1.397419+4 7.413102-4 1.073322+4 8.810489-4 8.189694+3 1.059254-3 6.090545+3 1.273503-3 4.493328+3 1.513561-3 3.354678+3 1.840772-3 2.389825+3 2.238721-3 1.689544+3 2.691535-3 1.210921+3 3.427678-3 7.748560+2 4.216965-3 5.244934+2 5.188000-3 3.523176+2 6.382635-3 2.348470+2 7.762471-3 1.589580+2 9.332543-3 1.093040+2 1.122018-2 7.459928+1 1.348963-2 5.052442+1 1.603245-2 3.481351+1 1.927525-2 2.322316+1 2.344229-2 1.499505+1 2.786121-2 1.011853+1 3.162278-2 7.539583+0 3.715352-2 5.144321+0 4.365158-2 3.484267+0 5.188000-2 2.277416+0 6.165950-2 1.477343+0 7.413102-2 9.239805-1 8.709636-2 6.087690-1 1.083927-1 3.426425-1 1.428894-1 1.642996-1 2.371374-1 4.216679-2 2.917427-1 2.433673-2 3.467369-1 1.550043-2 4.000000-1 1.074800-2 4.570882-1 7.692625-3 5.188000-1 5.642870-3 5.821032-1 4.288337-3 6.531306-1 3.283330-3 7.328245-1 2.533337-3 8.317638-1 1.921136-3 9.120108-1 1.580390-3 1.000000+0 1.309000-3 1.148154+0 9.966345-4 1.288250+0 7.992176-4 1.445440+0 6.454848-4 1.640590+0 5.141969-4 1.840772+0 4.211665-4 2.065380+0 3.474433-4 2.371374+0 2.779772-4 2.722701+0 2.240731-4 3.126079+0 1.819399-4 3.630781+0 1.463295-4 4.216965+0 1.185637-4 4.954502+0 9.524216-5 5.888437+0 7.591197-5 7.079458+0 6.005698-5 8.609938+0 4.718262-5 1.071519+1 3.632821-5 1.348963+1 2.781031-5 1.717908+1 2.115729-5 2.290868+1 1.540629-5 3.273407+1 1.049115-5 4.570882+1 7.376036-6 7.413102+1 4.467136-6 1.412538+2 2.312216-6 2.818383+2 1.149817-6 1.122018+3 2.871286-7 1.000000+5 3.215200-9 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 4.627000-5 4.627000-5 1.000000+5 4.627000-5 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.627000-5 0.0 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.896000-5 7.013360+6 3.235937-5 4.661614+6 3.801894-5 2.601807+6 4.216965-5 1.776335+6 5.188000-5 8.195709+5 5.688529-5 5.848132+5 6.165950-5 4.385266+5 6.606934-5 3.449799+5 7.000000-5 2.838200+5 7.413102-5 2.353144+5 7.800000-5 2.005180+5 8.222426-5 1.710911+5 8.650000-5 1.480130+5 9.015711-5 1.322929+5 9.440609-5 1.175486+5 9.900000-5 1.048354+5 1.040000-4 9.384260+4 1.083927-4 8.602543+4 1.141600-4 7.771586+4 1.202264-4 7.076704+4 1.260000-4 6.542680+4 1.330000-4 6.019840+4 1.400000-4 5.598940+4 1.480000-4 5.208720+4 1.584893-4 4.800612+4 1.720000-4 4.390460+4 1.905461-4 3.957776+4 2.213095-4 3.432873+4 2.951209-4 2.625930+4 3.427678-4 2.269285+4 3.935501-4 1.970800+4 4.466836-4 1.720259+4 5.128614-4 1.472474+4 5.800000-4 1.272862+4 6.531306-4 1.099121+4 7.413102-4 9.332433+3 8.413951-4 7.866271+3 9.549926-4 6.580092+3 1.083927-3 5.461876+3 1.230269-3 4.498560+3 1.396368-3 3.676779+3 1.584893-3 2.982321+3 1.798871-3 2.400994+3 2.041738-3 1.918997+3 2.317395-3 1.523012+3 2.630268-3 1.200263+3 3.000000-3 9.303760+2 3.427678-3 7.133664+2 3.890451-3 5.503178+2 4.415704-3 4.216157+2 5.011872-3 3.207417+2 5.688529-3 2.422460+2 6.456542-3 1.816478+2 7.328245-3 1.352276+2 8.317638-3 9.992965+1 9.440609-3 7.329679+1 1.071519-2 5.338081+1 1.216186-2 3.860843+1 1.448320-2 2.445668+1 1.603245-2 1.865254+1 1.819701-2 1.321326+1 2.089296-2 9.004493+0 2.398833-2 6.094350+0 2.786121-2 3.962704+0 3.235937-2 2.557335+0 3.801894-2 1.583402+0 4.518559-2 9.401002-1 5.370318-2 5.541491-1 6.683439-2 2.812789-1 9.015711-2 1.101627-1 1.445440-1 2.495992-2 1.798871-1 1.262599-2 2.162719-1 7.162844-3 2.511886-1 4.548878-3 2.884032-1 3.011726-3 3.273407-1 2.077622-3 3.715352-1 1.443605-3 4.168694-1 1.043990-3 4.677351-1 7.604272-4 5.188000-1 5.755238-4 5.754399-1 4.385129-4 6.382635-1 3.365209-4 7.079458-1 2.601704-4 7.852356-1 2.026468-4 8.709636-1 1.584646-4 9.332543-1 1.353667-4 9.885531-1 1.193965-4 1.071519+0 1.010590-4 1.161449+0 8.610988-5 1.273503+0 7.223879-5 1.412538+0 5.977800-5 1.698244+0 4.310329-5 1.905461+0 3.536301-5 2.137962+0 2.923102-5 2.454709+0 2.343194-5 2.818383+0 1.892153-5 3.235937+0 1.539111-5 3.758374+0 1.240095-5 4.415704+0 9.906425-6 5.188000+0 7.974319-6 6.165950+0 6.368463-6 7.498942+0 4.975693-6 9.120108+0 3.917743-6 1.135011+1 3.022572-6 1.462177+1 2.258079-6 1.883649+1 1.700091-6 2.570396+1 1.210341-6 3.672823+1 8.262744-7 5.559043+1 5.354668-7 9.120108+1 3.214730-7 1.819701+2 1.592098-7 3.630781+2 7.931953-8 1.445440+3 1.983130-8 1.000000+5 2.86200-10 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.896000-5 2.896000-5 1.000000+5 2.896000-5 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.896000-5 0.0 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.546000-5 1.492380+7 2.722701-5 1.139645+7 2.900000-5 8.914560+6 3.198895-5 6.148129+6 4.168694-5 2.277436+6 4.518559-5 1.692867+6 4.841724-5 1.321495+6 5.150000-5 1.066648+6 5.432503-5 8.918943+5 5.754399-5 7.410164+5 6.025596-5 6.429141+5 6.309573-5 5.612218+5 6.606934-5 4.931915+5 6.918310-5 4.365288+5 7.244360-5 3.893078+5 7.585776-5 3.498964+5 7.900000-5 3.205640+5 8.222426-5 2.957819+5 8.609938-5 2.714549+5 9.015711-5 2.508111+5 9.500000-5 2.309240+5 1.000000-4 2.143248+5 1.060000-4 1.981624+5 1.135011-4 1.820156+5 1.230269-4 1.659352+5 1.350000-4 1.502908+5 1.566751-4 1.294636+5 2.041738-4 9.965806+4 2.426610-4 8.341746+4 2.818383-4 7.102264+4 3.235937-4 6.080069+4 3.715352-4 5.168455+4 4.216965-4 4.426182+4 4.841724-4 3.710970+4 5.500000-4 3.133892+4 6.309573-4 2.593299+4 7.244360-4 2.126900+4 8.222426-4 1.761550+4 9.440609-4 1.422979+4 1.071519-3 1.161717+4 1.216186-3 9.415887+3 1.380384-3 7.577383+3 1.566751-3 6.054654+3 1.778279-3 4.803944+3 2.018366-3 3.785334+3 2.290868-3 2.962685+3 2.600160-3 2.303112+3 2.951209-3 1.778269+3 3.349654-3 1.363825+3 3.801894-3 1.038855+3 4.315191-3 7.858980+2 4.897788-3 5.904146+2 5.559043-3 4.404510+2 6.309573-3 3.262021+2 7.161434-3 2.397845+2 8.128305-3 1.749345+2 9.225714-3 1.267078+2 1.047129-2 9.108382+1 1.188502-2 6.499715+1 1.348963-2 4.605212+1 1.548817-2 3.137897+1 1.778279-2 2.121694+1 2.041738-2 1.423504+1 2.344229-2 9.477152+0 2.691535-2 6.263985+0 3.090295-2 4.111482+0 3.589219-2 2.585800+0 4.216965-2 1.557085+0 5.011872-2 8.970311-1 6.025596-2 4.935994-1 7.498942-2 2.408230-1 1.011580-1 8.938694-2 1.445440-1 2.727068-2 1.778279-1 1.377891-2 2.137962-1 7.569878-3 2.454709-1 4.863188-3 2.786121-1 3.264334-3 3.126079-1 2.287661-3 3.507519-1 1.615191-3 3.890451-1 1.189007-3 4.315191-1 8.816098-4 4.786301-1 6.587328-4 5.248075-1 5.119254-4 5.754399-1 4.005351-4 6.309573-1 3.155865-4 6.918310-1 2.504305-4 7.585776-1 2.001212-4 8.609938-1 1.482997-4 9.225714-1 1.267343-4 9.885531-1 1.090717-4 1.071519+0 9.239030-5 1.174898+0 7.700526-5 1.288250+0 6.465362-5 1.428894+0 5.351581-5 1.698244+0 3.938242-5 1.905461+0 3.231205-5 2.137962+0 2.670485-5 2.454709+0 2.140564-5 2.818383+0 1.728663-5 3.235937+0 1.406192-5 3.758374+0 1.132995-5 4.415704+0 9.050989-6 5.188000+0 7.285815-6 6.165950+0 5.818597-6 7.498942+0 4.546138-6 9.120108+0 3.579483-6 1.135011+1 2.761613-6 1.462177+1 2.063133-6 1.883649+1 1.553286-6 2.570396+1 1.105864-6 3.715352+1 7.458092-7 5.623413+1 4.834174-7 9.225714+1 2.902814-7 1.840772+2 1.437812-7 3.672823+2 7.163674-8 1.462177+3 1.791127-8 1.000000+5 2.61490-10 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.546000-5 2.546000-5 1.000000+5 2.546000-5 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.546000-5 0.0 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.030000-6 3.183855+6 5.500000-6 2.107140+6 5.888437-6 1.528697+6 6.350000-6 1.062928+6 6.760830-6 7.803448+5 7.200000-6 5.683160+5 7.673615-6 4.092471+5 8.128305-6 3.021659+5 8.709636-6 2.083705+5 1.023293-5 8.607164+4 1.071519-5 6.724441+4 1.110000-5 5.602920+4 1.135011-5 5.015247+4 1.165000-5 4.430380+4 1.190000-5 4.027040+4 1.216186-5 3.673737+4 1.240000-5 3.404980+4 1.264200-5 3.175768+4 1.290000-5 2.973260+4 1.310000-5 2.841980+4 1.333521-5 2.712515+4 1.357000-5 2.606700+4 1.380384-5 2.521426+4 1.410000-5 2.437920+4 1.440000-5 2.377180+4 1.470000-5 2.336280+4 1.500000-5 2.311800+4 1.531087-5 2.300727+4 1.570000-5 2.303380+4 1.610000-5 2.321160+4 1.659587-5 2.358964+4 1.717908-5 2.419114+4 1.800000-5 2.521180+4 2.070000-5 2.889500+4 2.213095-5 3.064592+4 2.350000-5 3.207900+4 2.483133-5 3.322902+4 2.630268-5 3.423329+4 2.800000-5 3.508760+4 2.985383-5 3.570114+4 3.162278-5 3.601545+4 3.350000-5 3.610080+4 3.570000-5 3.592580+4 3.801894-5 3.548921+4 4.073803-5 3.474928+4 4.365158-5 3.375793+4 4.677351-5 3.254481+4 5.011872-5 3.114304+4 5.432503-5 2.935560+4 5.888437-5 2.746511+4 6.382635-5 2.552552+4 7.161434-5 2.279428+4 8.035261-5 2.019870+4 9.440609-5 1.690104+4 1.202264-4 1.279107+4 1.479108-4 1.002447+4 1.640590-4 8.824364+3 1.840772-4 7.598283+3 2.065380-4 6.493645+3 2.398833-4 5.243753+3 3.090295-4 3.617247+3 3.845918-4 2.633646+3 4.415704-4 2.140702+3 6.237348-4 1.262630+3 7.244360-4 9.990851+2 9.660509-4 6.294376+2 1.148154-3 4.737318+2 1.333521-3 3.679341+2 1.678804-3 2.445035+2 2.041738-3 1.723055+2 2.660725-3 1.080531+2 3.090295-3 8.258041+1 3.672823-3 5.997638+1 4.415704-3 4.231986+1 5.370318-3 2.899065+1 6.918310-3 1.760379+1 8.413951-3 1.188095+1 1.011579-2 8.145762+0 1.216186-2 5.541793+0 1.462177-2 3.741189+0 1.737801-2 2.569974+0 2.065380-2 1.752575+0 2.454709-2 1.186022+0 2.917427-2 7.963800-1 3.427678-2 5.450960-1 4.073803-2 3.603497-1 4.841724-2 2.363708-1 5.754399-2 1.537989-1 6.918310-2 9.647073-2 8.222426-2 6.186557-2 1.011580-1 3.597198-2 1.303167-1 1.838075-2 1.621810-1 1.023396-2 2.344229-1 3.805577-3 2.884032-1 2.196069-3 3.427678-1 1.398470-3 3.935501-1 9.812437-4 4.466836-1 7.138623-4 5.069907-1 5.231964-4 5.688529-1 3.973252-4 6.309573-1 3.121553-4 6.998420-1 2.468355-4 7.762471-1 1.964819-4 8.609938-1 1.574376-4 9.549926-1 1.270773-4 1.071519+0 1.010274-4 1.230269+0 7.724175-5 1.380384+0 6.218758-5 1.548817+0 5.040335-5 1.737801+0 4.113978-5 1.949845+0 3.381833-5 2.213095+0 2.747376-5 2.540973+0 2.206413-5 2.917427+0 1.785028-5 3.349654+0 1.454566-5 3.890451+0 1.173963-5 4.570882+0 9.394338-6 5.370318+0 7.574026-6 6.456542+0 5.969225-6 7.852356+0 4.672512-6 9.660509+0 3.634928-6 1.202264+1 2.809952-6 1.548817+1 2.103049-6 2.041738+1 1.546326-6 2.691535+1 1.145033-6 3.801894+1 7.919520-7 5.956621+1 4.954724-7 9.885531+1 2.942997-7 1.972423+2 1.458738-7 3.935501+2 7.271186-8 1.566751+3 1.818497-8 1.000000+5 2.84510-10 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.030000-6 5.030000-6 1.000000+5 5.030000-6 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.030000-6 0.0 1.000000+5 1.000000+5 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.697630-7 1.027100+0 1.169910-6 1.027500+0 1.465300-6 1.028100+0 1.994980-6 1.028750+0 2.697630-6 1.029500+0 3.691780-6 1.030100+0 4.642860-6 1.031000+0 6.353010-6 1.032000+0 8.692520-6 1.033200+0 1.217670-5 1.034000+0 1.494810-5 1.035300+0 2.028990-5 1.036640+0 2.697630-5 1.038200+0 3.640540-5 1.039700+0 4.729790-5 1.041500+0 6.292930-5 1.043800+0 8.734780-5 1.046400+0 1.215280-4 1.048300+0 1.513060-4 1.051200+0 2.052430-4 1.054080+0 2.697630-4 1.057700+0 3.677050-4 1.061100+0 4.782940-4 1.065100+0 6.332120-4 1.070400+0 8.834020-4 1.076200+0 1.220860-3 1.080600+0 1.524660-3 1.087100+0 2.054210-3 1.093710+0 2.697630-3 1.102600+0 3.740050-3 1.110700+0 4.877460-3 1.120600+0 6.524050-3 1.133300+0 9.070370-3 1.147500+0 1.252260-2 1.158200+0 1.556230-2 1.174100+0 2.080150-2 1.190110+0 2.697630-2 1.205100+0 3.359160-2 1.227500+0 4.497260-2 1.250000+0 5.808000-2 1.265600+0 6.803030-2 1.294900+0 8.839800-2 1.320600+0 1.077910-1 1.343000+0 1.256710-1 1.382200+0 1.587370-1 1.433800+0 2.050230-1 1.500000+0 2.685000-1 1.589800+0 3.627730-1 1.665000+0 4.484010-1 1.784700+0 5.946760-1 1.892300+0 7.331180-1 2.000000+0 8.740000-1 2.044000+0 9.313000-1 2.163500+0 1.086640+0 2.372600+0 1.356110+0 2.647100+0 1.700710+0 3.000000+0 2.124000+0 3.500000+0 2.683380+0 4.000000+0 3.200000+0 4.750000+0 3.904680+0 5.000000+0 4.122000+0 6.000000+0 4.915000+0 7.000000+0 5.617000+0 8.000000+0 6.247000+0 9.000000+0 6.820000+0 1.000000+1 7.346000+0 1.100000+1 7.831000+0 1.200000+1 8.281000+0 1.300000+1 8.701000+0 1.400000+1 9.090000+0 1.500000+1 9.451000+0 1.600000+1 9.786000+0 1.800000+1 1.039000+1 2.000000+1 1.093000+1 2.200000+1 1.143000+1 2.400000+1 1.187000+1 2.600000+1 1.228000+1 2.800000+1 1.265000+1 3.000000+1 1.300000+1 4.000000+1 1.440000+1 5.000000+1 1.544000+1 6.000000+1 1.625000+1 8.000000+1 1.745000+1 1.000000+2 1.830000+1 1.500000+2 1.964000+1 2.000000+2 2.045000+1 3.000000+2 2.138000+1 4.000000+2 2.192000+1 5.000000+2 2.228000+1 6.000000+2 2.253000+1 8.000000+2 2.287000+1 1.000000+3 2.309000+1 1.500000+3 2.340000+1 2.000000+3 2.358000+1 3.000000+3 2.376000+1 4.000000+3 2.386000+1 5.000000+3 2.393000+1 6.000000+3 2.397000+1 8.000000+3 2.403000+1 1.000000+4 2.406000+1 1.500000+4 2.412000+1 2.000000+4 2.414000+1 3.000000+4 2.417000+1 4.000000+4 2.418000+1 5.000000+4 2.419000+1 6.000000+4 2.420000+1 8.000000+4 2.421000+1 1.000000+5 2.421000+1 1 61000 7 8 1.450000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 6.114980-7 2.094700+0 1.076560-6 2.099900+0 1.432210-6 2.106600+0 1.992330-6 2.114000+0 2.756640-6 2.119500+0 3.431990-6 2.127900+0 4.654430-6 2.136250+0 6.114980-6 2.147000+0 8.384070-6 2.156900+0 1.088990-5 2.169000+0 1.453320-5 2.184500+0 2.020170-5 2.201800+0 2.794960-5 2.214800+0 3.482310-5 2.234200+0 4.684320-5 2.253680+0 6.114980-5 2.281500+0 8.565110-5 2.307000+0 1.125020-4 2.338200+0 1.512690-4 2.377400+0 2.094890-4 2.410200+0 2.664360-4 2.446800+0 3.389210-4 2.485900+0 4.267200-4 2.532900+0 5.461110-4 2.556430+0 6.114980-4 2.611900+0 7.797300-4 2.660400+0 9.426540-4 2.745300+0 1.261690-3 2.809000+0 1.527980-3 2.904500+0 1.968430-3 3.000000+0 2.457000-3 3.125000+0 3.168130-3 3.234400+0 3.854770-3 3.425800+0 5.190550-3 3.569300+0 6.293630-3 3.784700+0 8.089600-3 4.000000+0 1.002000-2 4.250000+0 1.237970-2 4.625000+0 1.608730-2 5.000000+0 1.994000-2 5.500000+0 2.522520-2 6.000000+0 3.058000-2 6.750000+0 3.854920-2 7.000000+0 4.117000-2 8.000000+0 5.141000-2 9.000000+0 6.120000-2 1.000000+1 7.050000-2 1.100000+1 7.928000-2 1.200000+1 8.756000-2 1.300000+1 9.535000-2 1.400000+1 1.028000-1 1.500000+1 1.098000-1 1.600000+1 1.164000-1 1.800000+1 1.287000-1 2.000000+1 1.399000-1 2.200000+1 1.501000-1 2.400000+1 1.595000-1 2.600000+1 1.682000-1 2.800000+1 1.762000-1 3.000000+1 1.837000-1 4.000000+1 2.145000-1 5.000000+1 2.377000-1 6.000000+1 2.561000-1 8.000000+1 2.838000-1 1.000000+2 3.038000-1 1.500000+2 3.369000-1 2.000000+2 3.576000-1 3.000000+2 3.829000-1 4.000000+2 3.981000-1 5.000000+2 4.085000-1 6.000000+2 4.161000-1 8.000000+2 4.266000-1 1.000000+3 4.336000-1 1.500000+3 4.441000-1 2.000000+3 4.501000-1 3.000000+3 4.567000-1 4.000000+3 4.606000-1 5.000000+3 4.629000-1 6.000000+3 4.646000-1 8.000000+3 4.668000-1 1.000000+4 4.682000-1 1.500000+4 4.702000-1 2.000000+4 4.713000-1 3.000000+4 4.723000-1 4.000000+4 4.731000-1 5.000000+4 4.735000-1 6.000000+4 4.737000-1 8.000000+4 4.740000-1 1.000000+5 4.742000-1 1 61000 7 8 1.450000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 61000 7 9 1.450000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 6.100000+1 1.000000+5 6.100000+1 5.000000+5 6.096700+1 7.500000+5 6.093660+1 1.000000+6 6.091500+1 1.250000+6 6.087890+1 1.500000+6 6.084000+1 1.875000+6 6.075170+1 2.000000+6 6.071800+1 2.375000+6 6.060670+1 2.500000+6 6.056600+1 2.875000+6 6.043250+1 3.000000+6 6.038400+1 3.250000+6 6.027620+1 3.625000+6 6.011420+1 4.000000+6 5.994500+1 4.437500+6 5.973260+1 4.812500+6 5.954110+1 5.000000+6 5.944200+1 5.500000+6 5.915490+1 5.875000+6 5.892640+1 6.437500+6 5.858060+1 6.500000+6 5.854310+1 7.000000+6 5.822800+1 7.500000+6 5.790600+1 8.250000+6 5.742640+1 9.000000+6 5.693600+1 1.000000+7 5.626900+1 1.250000+7 5.463200+1 1.500000+7 5.296200+1 1.750000+7 5.128700+1 2.000000+7 4.959800+1 2.250000+7 4.788900+1 2.375000+7 4.703720+1 2.500000+7 4.620400+1 2.875000+7 4.378020+1 3.000000+7 4.301200+1 3.437500+7 4.045860+1 3.812500+7 3.846040+1 4.000000+7 3.752600+1 4.500000+7 3.521320+1 5.000000+7 3.311100+1 5.500000+7 3.117290+1 6.000000+7 2.937400+1 6.750000+7 2.691230+1 7.000000+7 2.615600+1 8.000000+7 2.345300+1 9.000000+7 2.125200+1 1.000000+8 1.949300+1 1.125000+8 1.777990+1 1.187500+8 1.706440+1 1.250000+8 1.641500+1 1.375000+8 1.526660+1 1.437500+8 1.473860+1 1.500000+8 1.423200+1 1.617200+8 1.331100+1 1.712900+8 1.257430+1 1.718800+8 1.252960+1 1.815400+8 1.178970+1 1.907700+8 1.108570+1 2.000000+8 1.038600+1 2.125000+8 9.466750+0 2.312500+8 8.299310+0 2.375000+8 7.984500+0 2.406300+8 7.841910+0 2.500000+8 7.474700+0 2.562500+8 7.277560+0 2.835900+8 6.605440+0 2.945300+8 6.333720+0 3.000000+8 6.186000+0 3.062500+8 6.005780+0 3.335900+8 5.238190+0 3.445300+8 4.996810+0 3.500000+8 4.897400+0 3.562500+8 4.801960+0 3.671900+8 4.669510+0 4.000000+8 4.371200+0 4.125000+8 4.249190+0 4.234400+8 4.134600+0 4.425800+8 3.925050+0 4.677000+8 3.649580+0 4.750000+8 3.571940+0 5.000000+8 3.318800+0 5.343800+8 3.006780+0 5.578100+8 2.810430+0 5.859400+8 2.585620+0 6.000000+8 2.476400+0 6.500000+8 2.122600+0 6.750000+8 1.984220+0 6.937500+8 1.901140+0 7.000000+8 1.877600+0 7.125000+8 1.837900+0 8.000000+8 1.631800+0 8.250000+8 1.566250+0 8.468800+8 1.505060+0 8.851600+8 1.397200+0 9.569300+8 1.220760+0 9.856400+8 1.164730+0 1.000000+9 1.140200+0 1.031300+9 1.094910+0 1.060500+9 1.060720+0 1.088000+9 1.033970+0 1.139500+9 9.942930-1 1.184600+9 9.671410-1 1.362000+9 8.843960-1 1.411300+9 8.609570-1 1.470400+9 8.300220-1 1.500000+9 8.132500-1 1.560500+9 7.761210-1 1.615500+9 7.405100-1 1.686000+9 6.939670-1 1.764500+9 6.428550-1 1.823400+9 6.059260-1 1.911700+9 5.537770-1 2.000000+9 5.061400-1 2.139200+9 4.403700-1 2.272600+9 3.866990-1 2.443000+9 3.291440-1 2.602800+9 2.843640-1 2.825100+9 2.337800-1 2.961100+9 2.082470-1 3.215900+9 1.690200-1 3.438900+9 1.419530-1 3.500000+9 1.354930-1 3.634100+9 1.225460-1 3.975600+9 9.590430-2 4.231700+9 8.053320-2 4.615800+9 6.281530-2 5.000000+9 4.971300-2 5.375000+9 4.006420-2 6.031300+9 2.822440-2 6.892600+9 1.866540-2 8.000000+9 1.170000-2 1.00000+10 5.801200-3 1.27030+10 2.749630-3 1.55700+10 1.465270-3 2.00890+10 6.707330-4 2.65200+10 2.885110-4 3.54180+10 1.207810-4 4.72580+10 5.108930-5 6.04430+10 2.464780-5 8.02220+10 1.071420-5 1.00000+11 5.621500-6 1.34280+11 2.382890-6 1.77440+11 1.062780-6 2.63330+11 3.409370-7 4.88110+11 5.847880-8 1.16740+12 4.969610-9 3.55150+12 2.21440-10 1.00000+14 2.17510-14 2.05350+15 4.88839-18 1.00000+17 9.21790-23 1 61000 7 0 1.450000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.12000-11 1.000000+2 1.120000-9 1.000000+3 1.120000-7 1.000000+4 1.120000-5 1.000000+5 1.120000-3 5.000000+5 2.800000-2 7.500000+5 6.300000-2 1.000000+6 1.120000-1 1.250000+6 1.736350-1 1.500000+6 2.475000-1 1.875000+6 3.798540-1 2.000000+6 4.293000-1 2.375000+6 5.917410-1 2.500000+6 6.503000-1 2.875000+6 8.370550-1 3.000000+6 9.027000-1 3.250000+6 1.038080+0 3.625000+6 1.249910+0 4.000000+6 1.469400+0 4.437500+6 1.731160+0 4.812500+6 1.957660+0 5.000000+6 2.071000+0 5.500000+6 2.370790+0 5.875000+6 2.592730+0 6.437500+6 2.919420+0 6.500000+6 2.955090+0 7.000000+6 3.237300+0 7.500000+6 3.511860+0 8.250000+6 3.912610+0 9.000000+6 4.303800+0 1.000000+7 4.818000+0 1.250000+7 6.111700+0 1.500000+7 7.432000+0 1.750000+7 8.742500+0 2.000000+7 1.001400+1 2.250000+7 1.124030+1 2.375000+7 1.183790+1 2.500000+7 1.242600+1 2.875000+7 1.413290+1 3.000000+7 1.468200+1 3.437500+7 1.651070+1 3.812500+7 1.795900+1 4.000000+7 1.864100+1 4.500000+7 2.032170+1 5.000000+7 2.185600+1 5.500000+7 2.328110+1 6.000000+7 2.463400+1 6.750000+7 2.656160+1 7.000000+7 2.718300+1 8.000000+7 2.955900+1 9.000000+7 3.177600+1 1.000000+8 3.383200+1 1.125000+8 3.616180+1 1.187500+8 3.722010+1 1.250000+8 3.821200+1 1.375000+8 3.998650+1 1.437500+8 4.077910+1 1.500000+8 4.152300+1 1.617200+8 4.278230+1 1.712900+8 4.370160+1 1.718800+8 4.375580+1 1.815400+8 4.460200+1 1.907700+8 4.534480+1 2.000000+8 4.604000+1 2.125000+8 4.690700+1 2.312500+8 4.807920+1 2.375000+8 4.843610+1 2.406300+8 4.861190+1 2.500000+8 4.911900+1 2.562500+8 4.943710+1 2.835900+8 5.071460+1 2.945300+8 5.117700+1 3.000000+8 5.139800+1 3.062500+8 5.164090+1 3.335900+8 5.262910+1 3.445300+8 5.298930+1 3.500000+8 5.316600+1 3.562500+8 5.335610+1 3.671900+8 5.368250+1 4.000000+8 5.457900+1 4.125000+8 5.488250+1 4.234400+8 5.514190+1 4.425800+8 5.556170+1 4.677000+8 5.605770+1 4.750000+8 5.619260+1 5.000000+8 5.662100+1 5.343800+8 5.712460+1 5.578100+8 5.743020+1 5.859400+8 5.774860+1 6.000000+8 5.789200+1 6.500000+8 5.832460+1 6.750000+8 5.850780+1 6.937500+8 5.863300+1 7.000000+8 5.867400+1 7.125000+8 5.874510+1 8.000000+8 5.918100+1 8.250000+8 5.927950+1 8.468800+8 5.936350+1 8.851600+8 5.949190+1 9.569300+8 5.970670+1 9.856400+8 5.978340+1 1.000000+9 5.982100+1 1.031300+9 5.989290+1 1.060500+9 5.995800+1 1.088000+9 6.001790+1 1.139500+9 6.012260+1 1.184600+9 6.020310+1 1.362000+9 6.046160+1 1.411300+9 6.051440+1 1.470400+9 6.057540+1 1.500000+9 6.060500+1 1.560500+9 6.065260+1 1.615500+9 6.069430+1 1.686000+9 6.073610+1 1.764500+9 6.077900+1 1.823400+9 6.080860+1 1.911700+9 6.084200+1 2.000000+9 6.087400+1 2.139200+9 6.090620+1 2.272600+9 6.093520+1 2.443000+9 6.096400+1 2.602800+9 6.098130+1 2.825100+9 6.099640+1 2.961100+9 6.100160+1 3.215900+9 6.101070+1 3.438900+9 6.101120+1 3.500000+9 6.101060+1 3.634100+9 6.100940+1 3.975600+9 6.100650+1 4.231700+9 6.100440+1 4.615800+9 6.100160+1 5.000000+9 6.099900+1 5.375000+9 6.099920+1 6.031300+9 6.099940+1 6.892600+9 6.099970+1 8.000000+9 6.100000+1 1.00000+10 6.100000+1 1.27030+10 6.100000+1 1.55700+10 6.100000+1 2.00890+10 6.100000+1 2.65200+10 6.100000+1 3.54180+10 6.100000+1 4.72580+10 6.100000+1 6.04430+10 6.100000+1 8.02220+10 6.100000+1 1.00000+11 6.100000+1 1.34280+11 6.100000+1 1.77440+11 6.100000+1 2.63330+11 6.100000+1 4.88110+11 6.100000+1 1.16740+12 6.100000+1 3.55150+12 6.100000+1 1.00000+14 6.100000+1 2.05350+15 6.100000+1 1.00000+17 6.100000+1 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.159139-6 0.0 1.161992-6 1.056279-7 1.164845-6 2.090084-7 1.167698-6 3.817710-7 1.170552-6 6.437183-7 1.173405-6 1.001942-6 1.176258-6 1.439605-6 1.179111-6 1.909405-6 1.181964-6 2.337795-6 1.184817-6 2.642219-6 1.187670-6 2.756672-6 1.190523-6 2.654944-6 1.193376-6 2.360367-6 1.196229-6 1.937125-6 1.201935-6 1.026304-6 1.204788-6 6.625461-7 1.207642-6 3.948301-7 1.210495-6 2.171993-7 1.213348-6 1.102962-7 1.216201-6 0.0 2.089490-6 0.0 2.097204-6 3.148699+0 2.099776-6 4.184952+0 2.104919-6 7.644157+0 2.110062-6 1.288910+1 2.115848-6 2.115487+1 2.124768-6 3.690624+1 2.131277-6 4.756976+1 2.136249-6 5.311479+1 2.141465-6 5.498115+1 2.146783-6 5.233523+1 2.151970-6 4.600499+1 2.160454-6 3.128613+1 2.166635-6 2.054957+1 2.172100-6 1.293180+1 2.176921-6 7.905638+0 2.182225-6 4.282219+0 2.189819-6 1.088268+0 2.192315-6 1.533852-2 2.192332-6 7.669321-3 2.192350-6 0.0 2.230040-6 0.0 2.239646-6 7.564572+0 2.241018-6 8.634199+0 2.246507-6 1.577107+1 2.252339-6 2.751499+1 2.258171-6 4.364575+1 2.267957-6 7.708313+1 2.274295-6 9.735925+1 2.280330-6 1.099147+2 2.285327-6 1.135760+2 2.290923-6 1.085619+2 2.296894-6 9.437199+1 2.305535-6 6.540705+1 2.312375-6 4.239692+1 2.317864-6 2.736997+1 2.323353-6 1.631055+1 2.328842-6 8.972565+0 2.337075-6 2.280862+0 2.339820-6 0.0 3.095469-6 0.0 3.103088-6 2.57772-15 3.110707-6 5.10059-15 3.118326-6 9.31665-15 3.125945-6 1.57092-14 3.133564-6 2.44512-14 3.141184-6 3.51318-14 3.148803-6 4.65967-14 3.156422-6 5.70510-14 3.164041-6 6.44801-14 3.171660-6 6.72732-14 3.179279-6 6.47907-14 3.186898-6 5.76019-14 3.194517-6 4.72732-14 3.209756-6 2.50457-14 3.217375-6 1.61686-14 3.224994-6 9.63534-15 3.232613-6 5.30048-15 3.240232-6 2.69164-15 3.247851-6 0.0 3.597658-6 0.0 3.608970-6 4.081090-6 3.611293-6 6.090045-6 3.629070-6 1.055751-1 3.637959-6 1.928374-1 3.646848-6 3.251441-1 3.654380-6 4.816031-1 3.672264-6 1.321563+0 3.684354-6 2.100164+0 3.697148-6 3.095521+0 3.718235-6 4.837058+0 3.728443-6 5.433674+0 3.735735-6 5.682517+0 3.746221-6 5.582860+0 3.754624-6 5.182460+0 3.764074-6 4.418134+0 3.789172-6 1.914467+0 3.798167-6 1.235913+0 3.807161-6 7.365157-1 3.816156-6 4.051634-1 3.829648-6 1.029942-1 3.834145-6 0.0 4.079606-6 0.0 4.079635-6 1.88478-14 4.099718-6 2.99438-11 4.109759-6 5.46863-11 4.119801-6 9.21945-11 4.129842-6 1.43480-10 4.158689-6 3.26862-10 4.159958-6 1.440058-7 4.178755-6 2.025033-2 4.180436-6 3.023775-2 4.190676-6 9.829772-2 4.199633-6 1.662762-1 4.210175-6 2.904143-1 4.220216-6 4.579216-1 4.232968-6 7.398200-1 4.252999-6 1.232186+0 4.264330-6 1.444579+0 4.274402-6 1.545293+0 4.284473-6 1.537799+0 4.294538-6 1.423074+0 4.304594-6 1.223514+0 4.323903-6 7.440523-1 4.334700-6 7.411775-1 4.345521-6 7.909916-1 4.356079-6 1.048222+0 4.367073-6 1.578775+0 4.379641-6 2.509875+0 4.398957-6 4.327462+0 4.411940-6 5.426239+0 4.422213-6 5.988450+0 4.432193-6 6.149763+0 4.442840-6 5.870358+0 4.456669-6 4.910996+0 4.483544-6 2.538900+0 4.494186-6 1.821160+0 4.504829-6 1.326144+0 4.515472-6 1.025140+0 4.530130-6 7.852171-1 4.536757-6 6.421539-1 4.541012-6 6.464502-1 4.552117-6 6.107655-1 4.563294-6 5.312210-1 4.585648-6 3.305089-1 4.595425-6 2.527631-1 4.606307-6 1.933592-1 4.617190-6 1.664945-1 4.628421-6 1.715639-1 4.632614-6 1.816165-1 4.654297-6 5.789153-1 4.655419-6 6.008824-1 4.668173-6 9.915383-1 4.679412-6 1.462339+0 4.691333-6 2.106314+0 4.719772-6 3.899283+0 4.732194-6 4.475313+0 4.738791-6 4.670154+0 4.749033-6 4.762921+0 4.761360-6 4.488449+0 4.772736-6 3.948860+0 4.804669-6 1.906734+0 4.815562-6 1.342014+0 4.827020-6 9.045953-1 4.838478-6 6.149368-1 4.860666-6 2.636886-1 4.890536-6 2.808563-1 4.908155-6 3.151636-1 4.938086-6 4.127024-1 4.962760-6 5.082076-1 4.976247-6 5.370908-1 4.987803-6 5.386161-1 5.000034-6 5.185308-1 5.021228-6 4.393969-1 5.045736-6 3.333642-1 5.060942-6 2.841627-1 5.072420-6 2.572586-1 5.083167-6 2.397715-1 5.104148-6 2.153365-1 5.567436-6 1.587419-1 5.966187-6 1.226809-1 6.305931-6 9.924965-2 6.695591-6 7.851310-2 6.773743-6 7.498348-2 6.807088-6 8.717340-2 6.823761-6 9.771815-2 6.840434-6 1.140769-1 6.859448-6 1.406098-1 6.902949-6 2.149197-1 6.926162-6 2.418968-1 6.942840-6 2.466926-1 6.959518-6 2.376021-1 6.976197-6 2.165276-1 7.023834-6 1.316969-1 7.040506-6 1.073588-1 7.057179-6 8.928183-2 7.073852-6 7.711287-2 7.107197-6 6.177917-2 7.303191-6 5.526875-2 7.328284-6 6.078993-2 7.339143-6 6.485009-2 7.357119-6 7.447279-2 7.375095-6 8.908231-2 7.396019-6 1.141659-1 7.436737-6 1.795360-1 7.450364-6 2.024278-1 7.468479-6 2.254373-1 7.486594-6 2.370474-1 7.504710-6 2.346352-1 7.522825-6 2.186509-1 7.547528-6 1.814222-1 7.577170-6 1.298479-1 7.590805-6 1.086361-1 7.607461-6 8.875351-2 7.626757-6 7.213465-2 7.636630-6 6.680391-2 7.655198-6 5.973097-2 7.662709-6 5.770873-2 7.689036-6 5.953666-2 7.738212-6 7.352476-2 7.756891-6 7.768409-2 7.775570-6 7.953839-2 7.794249-6 7.918787-2 7.864222-6 6.998357-2 7.888422-6 7.079823-2 7.911001-6 7.335232-2 7.933313-6 7.805085-2 7.965897-6 8.774508-2 8.019247-6 1.087096-1 8.044420-6 1.141943-1 8.063458-6 1.147146-1 8.083305-6 1.114044-1 8.146143-6 8.629372-2 8.180174-6 7.384229-2 8.199794-6 6.932561-2 8.216028-6 6.718282-2 8.254579-6 6.622934-2 8.327235-6 7.487392-2 8.499730-6 8.157122-2 8.658053-6 7.994939-2 8.751755-6 7.515816-2 8.831212-6 7.077156-2 8.887632-6 7.137132-2 8.992863-6 7.606332-2 9.075255-6 7.681438-2 9.902108-6 7.426909-2 1.083782-5 7.750095-2 1.177456-5 8.615537-2 1.291776-5 1.033213-1 1.425076-5 1.318558-1 1.573447-5 1.745772-1 1.723360-5 2.287003-1 1.909292-5 3.126506-1 2.087118-5 4.110239-1 2.097535-5 2.577130+0 2.102530-5 4.277170+0 2.107667-5 6.926417+0 2.110327-5 8.799581+0 2.112804-5 1.502414+1 2.120716-5 3.612956+1 2.125910-5 5.607158+1 2.131753-5 8.727901+1 2.137078-5 1.226843+2 2.151492-5 2.271557+2 2.157916-5 2.530730+2 2.162796-5 2.564243+2 2.167941-5 2.420068+2 2.173381-5 2.097219+2 2.188242-5 9.213766+1 2.193436-5 5.942546+1 2.198630-5 3.561006+1 2.203824-5 1.980955+1 2.211616-5 5.402584+0 2.214213-5 4.919430-1 2.303951-5 5.545084-1 2.315293-5 8.156259-1 2.321111-5 1.037053+0 2.326635-5 1.349734+0 2.332306-5 1.787166+0 2.349318-5 3.415500+0 2.360252-5 4.195422+0 2.367533-5 4.492053+0 2.374481-5 4.768421+0 2.379923-5 5.149594+0 2.385572-5 5.807872+0 2.392492-5 6.989083+0 2.402369-5 8.920236+0 2.409021-5 9.775689+0 2.414934-5 1.002805+1 2.420847-5 9.727087+0 2.429447-5 8.563192+0 2.432038-5 8.146336+0 2.444011-5 1.686946+1 2.450272-5 2.563819+1 2.456633-5 3.991244+1 2.462800-5 5.889109+1 2.480585-5 1.240183+2 2.487366-5 1.387661+2 2.493264-5 1.419141+2 2.499313-5 1.344758+2 2.505882-5 1.162956+2 2.522612-5 5.484880+1 2.528138-5 3.837775+1 2.534126-5 2.533017+1 2.540034-5 1.677275+1 2.551775-5 6.156287+0 2.648871-5 5.659042+0 2.674951-5 5.832561+0 2.701030-5 6.542908+0 2.727335-5 7.501256+0 2.751130-5 9.037539+0 2.760283-5 9.554128+0 2.766690-5 9.673902+0 2.776720-5 9.372296+0 2.798895-5 8.182341+0 2.815000-5 7.943688+0 2.862441-5 7.962947+0 2.919234-5 7.655468+0 3.014804-5 7.097937+0 3.235937-5 6.272160+0 3.570000-5 5.474273+0 3.945840-5 4.973477+0 4.291952-5 4.785571+0 4.354566-5 4.818608+0 4.464002-5 4.718566+0 5.150000-5 4.806828+0 8.511381-5 6.324876+0 1.101489-4 6.990798+0 1.187628-4 7.095077+0 1.193035-4 7.904091+0 1.198915-4 2.711493+1 1.201844-4 4.294335+1 1.204781-4 6.659875+1 1.208456-4 1.082123+2 1.215216-4 1.969816+2 1.217043-4 2.180836+2 1.220052-4 2.403841+2 1.223074-4 2.447225+2 1.226103-4 2.299558+2 1.229356-4 1.968439+2 1.234799-4 1.296719+2 1.237492-4 1.010658+2 1.240191-4 8.078748+1 1.241533-4 7.532467+1 1.243314-4 7.136924+1 1.244651-4 7.187356+1 1.246591-4 7.663055+1 1.248724-4 8.721701+1 1.252098-4 1.070446+2 1.256542-4 1.450799+2 1.259819-4 1.633201+2 1.262625-4 1.692645+2 1.265878-4 1.617607+2 1.269351-4 1.402016+2 1.278106-4 6.564955+1 1.280960-4 4.601224+1 1.283819-4 3.129533+1 1.286888-4 2.084006+1 1.292859-4 8.239956+0 1.304390-4 8.476034+0 1.322751-4 9.414285+0 1.363719-4 1.025241+1 1.411469-4 1.125709+1 1.451720-4 1.147420+1 1.531838-4 1.075139+1 1.667067-4 9.203260+0 1.808814-4 8.184684+0 1.973000-4 7.650648+0 2.219473-4 7.501848+0 2.305615-4 7.572415+0 2.327902-4 7.869489+0 2.362389-4 8.951004+0 2.374954-4 8.995301+0 2.418551-4 8.711762+0 2.578048-4 8.946214+0 2.647251-4 9.312352+0 3.216017-4 9.952725+0 3.278468-4 1.044190+1 4.109579-4 1.066386+1 5.249018-4 1.023847+1 1.001060-3 7.044341+0 1.001499-3 7.065761+0 1.006429-3 1.249169+1 1.008895-3 1.700579+1 1.011527-3 2.449635+1 1.014194-3 3.497476+1 1.020784-3 6.676426+1 1.023747-3 7.761084+1 1.026628-3 8.206048+1 1.028972-3 8.187716+1 1.036368-3 6.657140+1 1.038766-3 6.367022+1 1.041909-3 6.445326+1 1.048636-3 7.253719+1 1.053443-3 7.134107+1 1.056406-3 6.590642+1 1.063415-3 4.694172+1 1.065957-3 4.135657+1 1.068499-3 3.731259+1 1.071042-3 3.469065+1 1.076033-3 3.147771+1 1.173464-3 3.095101+1 1.281422-3 2.882562+1 1.319185-3 2.805974+1 1.332921-3 2.949513+1 1.347508-3 3.144098+1 1.419708-3 2.909629+1 1.446431-3 2.927725+1 1.466837-3 2.984167+1 1.597210-3 2.674660+1 1.651710-3 2.675180+1 1.935824-3 2.187845+1 2.280755-3 1.758127+1 2.646167-3 1.427144+1 3.064002-3 1.156384+1 3.560442-3 9.259799+0 4.063556-3 7.586585+0 4.643816-3 6.179962+0 5.231447-3 5.132882+0 6.025340-3 4.104887+0 6.295612-3 3.844006+0 6.337645-3 4.019724+0 6.359912-3 4.314441+0 6.381700-3 4.836798+0 6.403105-3 5.602149+0 6.467050-3 8.563248+0 6.498401-3 9.530451+0 6.540141-3 1.003253+1 6.786244-3 9.630350+0 6.905982-3 9.539221+0 6.955645-3 9.995344+0 7.053456-3 1.179230+1 7.115249-3 1.214294+1 7.313648-3 1.188887+1 7.464370-3 1.286400+1 7.688352-3 1.250018+1 8.823078-3 1.009534+1 1.014935-2 8.064644+0 1.161044-2 6.475133+0 1.307041-2 5.325331+0 1.492827-2 4.259640+0 1.694590-2 3.433879+0 1.870396-2 2.897846+0 2.124675-2 2.322773+0 2.397108-2 1.880707+0 2.697284-2 1.527017+0 3.045442-2 1.230667+0 3.412758-2 1.003596+0 3.845773-2 8.092418-1 4.367661-2 6.425527-1 4.416568-2 6.364987-1 4.437444-2 6.594874-1 4.451818-2 7.102061-1 4.462465-2 7.817078-1 4.474970-2 9.183896-1 4.487701-2 1.127944+0 4.502709-2 1.466317+0 4.544758-2 2.599451+0 4.566262-2 2.999469+0 4.589434-2 3.211620+0 4.634675-2 3.272590+0 5.425497-2 2.541568+0 6.183723-2 2.051551+0 7.018704-2 1.654894+0 7.985088-2 1.325044+0 8.978890-2 1.079638+0 1.014171-1 8.711785-1 1.123764-1 7.255618-1 1.258925-1 5.916263-1 1.409478-1 4.829884-1 1.573222-1 3.964114-1 1.763144-1 3.228368-1 1.967738-1 2.649373-1 2.183535-1 2.199606-1 2.421922-1 1.831730-1 2.705701-1 1.509181-1 3.021582-1 1.248369-1 3.353244-1 1.047365-1 3.773066-1 8.634824-2 4.219512-1 7.230340-2 4.731513-1 6.068116-2 5.324146-1 5.104859-2 6.077850-1 4.244025-2 6.993386-1 3.537395-2 8.058422-1 2.981536-2 9.339260-1 2.523792-2 1.120601+0 2.075583-2 1.347258+0 1.694381-2 1.619761+0 1.383190-2 1.947381+0 1.129152-2 2.341267+0 9.217718-3 2.814822+0 7.524787-3 3.384160+0 6.142780-3 3.885536+0 5.275554-3 4.671441+0 4.306643-3 5.616308+0 3.515683-3 6.752287+0 2.869991-3 8.118035+0 2.342887-3 9.760024+0 1.912591-3 1.000000+1 3.920036-3 1 61000 7 0 1.450000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-6.040500+1 1.682733-6-5.790540+1 1.913713-6-5.431560+1 2.008465-6-5.009267+1 2.052801-6-4.555049+1 2.075082-6-4.097544+1 2.086498-6-3.661983+1 2.094633-6-3.121892+1 2.099776-6-2.798064+1 2.105562-6-2.376099+1 2.111830-6-1.994283+1 2.115848-6-1.856227+1 2.118660-6-1.851953+1 2.121634-6-1.926832+1 2.124768-6-2.129929+1 2.128464-6-2.533638+1 2.130634-6-2.863946+1 2.135566-6-3.776670+1 2.145998-6-6.089344+1 2.151970-6-4.961778+1 2.157273-6-4.341564+1 2.161492-6-4.116899+1 2.166635-6-4.127126+1 2.172100-6-4.402959+1 2.193475-6-6.073343+1 2.221818-6-4.176226+1 2.228333-6-3.540724+1 2.232258-6-2.955680+1 2.240332-6-2.020618+1 2.246507-6-1.167676+1 2.247494-6-1.017982+1 2.251996-6-4.943961+0 2.252339-6-4.433837+0 2.252983-6-3.737921+0 2.254108-6-2.807285+0 2.257485-6-7.652355-1 2.258171-6-3.602439-1 2.259372-6-1.589173-1 2.260273-6-2.352429-1 2.261623-6-6.298556-1 2.262974-6-1.249433+0 2.263660-6-1.664658+0 2.264861-6-2.747240+0 2.265762-6-3.788917+0 2.266437-6-4.697307+0 2.267450-6-6.278348+0 2.268463-6-8.213346+0 2.270865-6-1.347808+1 2.272215-6-1.691319+1 2.273735-6-2.157080+1 2.278627-6-3.922095+1 2.280905-6-4.962663+1 2.283673-6-6.083520+1 2.285327-6-5.245791+1 2.291546-6-2.498911+1 2.296251-6-7.825598+0 2.296894-6-5.706113+0 2.298020-6-2.447903+0 2.298864-6-2.512934-1 2.300131-6 2.754665+0 2.301397-6 5.578475+0 2.302083-6 7.011493+0 2.303284-6 9.088838+0 2.304184-6 1.039913+1 2.306210-6 1.263127+1 2.309287-6 1.429622+1 2.311603-6 1.448007+1 2.315119-6 1.272575+1 2.317178-6 1.123092+1 2.318550-6 9.474689+0 2.322152-6 5.709214+0 2.322752-6 4.954153+0 2.323353-6 4.009712+0 2.328842-6-3.122026+0 2.329528-6-4.142896+0 2.330729-6-5.598262+0 2.337075-6-1.230486+1 2.339477-6-1.539369+1 2.340558-6-1.728081+1 2.344238-6-2.125632+1 2.348631-6-2.463729+1 2.357349-6-2.945674+1 2.371653-6-3.468008+1 2.396749-6-4.021045+1 2.434076-6-4.483925+1 2.503112-6-4.923169+1 2.657182-6-5.329822+1 3.039402-6-5.649080+1 3.611293-6-5.931803+1 3.703006-6-6.099346+1 3.746221-6-5.699419+1 3.780306-6-5.451989+1 3.897641-6-5.731897+1 4.272041-6-5.960083+1 4.326088-6-5.954819+1 4.376576-6-6.068402+1 4.411316-6-6.045995+1 4.464254-6-5.529799+1 4.515472-6-5.599537+1 4.705913-6-5.991690+1 4.791104-6-5.491832+1 4.962760-6-5.717612+1 1.264480-5-6.147123+1 1.647832-5-5.769495+1 1.827392-5-5.294083+1 1.916833-5-4.803519+1 1.978473-5-4.191096+1 2.009656-5-3.689420+1 2.032808-5-3.154675+1 2.051161-5-2.557061+1 2.062682-5-2.053083+1 2.070151-5-1.645224+1 2.077619-5-1.144089+1 2.082598-5-7.350794+0 2.084858-5-5.202944+0 2.085988-5-4.026897+0 2.092556-5 3.684934+0 2.095045-5 6.862880+0 2.097535-5 1.044486+1 2.101281-5 1.651011+1 2.106383-5 2.666068+1 2.108997-5 3.341252+1 2.110327-5 3.802845+1 2.112804-5 4.585986+1 2.127695-5 8.084527+1 2.132890-5 8.819604+1 2.137078-5 8.835909+1 2.140935-5 8.208724+1 2.144269-5 7.158344+1 2.146868-5 5.986953+1 2.148764-5 4.854086+1 2.151102-5 3.169810+1 2.151881-5 2.486845+1 2.152206-5 2.176365+1 2.154641-5 1.150947+0 2.155250-5-4.186655+0 2.156049-5-1.156479+1 2.156883-5-2.016147+1 2.157317-5-2.554912+1 2.158461-5-3.734968+1 2.161106-5-6.326166+1 2.162247-5-5.050389+1 2.162796-5-4.373098+1 2.167464-5 2.600275+0 2.167627-5 4.571475+0 2.167941-5 7.863667+0 2.168531-5 1.345113+1 2.169950-5 2.548994+1 2.172659-5 4.696313+1 2.173381-5 5.272939+1 2.175181-5 6.390905+1 2.178197-5 7.787727+1 2.181513-5 8.813887+1 2.184930-5 9.363686+1 2.187621-5 9.372912+1 2.192787-5 8.510474+1 2.198630-5 6.836448+1 2.205610-5 4.677539+1 2.211616-5 3.174222+1 2.213888-5 2.489397+1 2.214613-5 2.177365+1 2.215312-5 1.948919+1 2.216362-5 1.659737+1 2.218519-5 1.164882+1 2.219627-5 9.438707+0 2.220983-5 6.954456+0 2.223017-5 3.590048+0 2.225050-5 5.717504-1 2.226689-5-1.654546+0 2.228327-5-3.725661+0 2.230522-5-6.289095+0 2.233185-5-9.131717+0 2.238609-5-1.417696+1 2.246743-5-2.038127+1 2.257590-5-2.694997+1 2.273860-5-3.457482+1 2.308179-5-4.668592+1 2.347901-5-5.811599+1 2.374481-5-6.439903+1 2.402369-5-5.614858+1 2.420108-5-5.109250+1 2.427432-5-4.647869+1 2.431856-5-4.133824+1 2.444011-5-2.553475+1 2.450272-5-1.632253+1 2.451357-5-1.452571+1 2.456259-5-8.479656+0 2.456633-5-7.884204+0 2.457335-5-7.091132+0 2.458563-5-6.062374+0 2.462800-5-3.601731+0 2.463874-5-3.431488+0 2.464882-5-3.572926+0 2.465847-5-3.925546+0 2.466711-5-4.398022+0 2.467541-5-4.988540+0 2.469096-5-6.439094+0 2.470458-5-8.070558+0 2.471649-5-9.778233+0 2.473603-5-1.317035+1 2.475136-5-1.638923+1 2.477238-5-2.171834+1 2.478827-5-2.667998+1 2.479842-5-3.059809+1 2.480585-5-3.398094+1 2.485285-5-5.300331+1 2.487850-5-6.629105+1 2.492240-5-4.537629+1 2.493587-5-3.761873+1 2.498284-5-1.578065+1 2.498911-5-1.223075+1 2.499313-5-1.022044+1 2.500067-5-6.844925+0 2.500726-5-4.122681+0 2.501880-5 3.163577-1 2.505882-5 1.479085+1 2.506927-5 1.803977+1 2.508827-5 2.295071+1 2.510550-5 2.662264+1 2.513377-5 3.133527+1 2.516551-5 3.488368+1 2.519203-5 3.644791+1 2.521759-5 3.653284+1 2.527447-5 3.239773+1 2.533511-5 2.478996+1 2.540767-5 1.419943+1 2.543519-5 1.074122+1 2.547686-5 5.948346+0 2.549711-5 3.442588+0 2.550743-5 2.000028+0 2.551259-5 1.182929+0 2.551775-5 1.635313-1 2.552166-5-6.345434-1 2.552898-5-1.783287+0 2.554179-5-3.455195+0 2.556100-5-5.562667+0 2.558021-5-7.388498+0 2.559704-5-8.822040+0 2.564751-5-1.241192+1 2.570138-5-1.549822+1 2.577076-5-1.873229+1 2.589070-5-2.301284+1 2.605553-5-2.730910+1 2.628955-5-3.160591+1 2.682431-5-3.831981+1 2.739554-5-4.223871+1 2.766690-5-4.166388+1 2.795269-5-4.119646+1 2.869922-5-4.307087+1 3.315584-5-4.650543+1 4.693146-5-4.992530+1 8.709636-5-5.450920+1 9.799189-5-5.731159+1 1.057832-4-5.123705+1 1.101489-4-4.482168+1 1.128705-4-3.806769+1 1.144956-4-3.190723+1 1.156725-4-2.561251+1 1.165348-4-1.936105+1 1.170570-4-1.453312+1 1.174568-4-1.007413+1 1.177629-4-6.061164+0 1.178879-4-4.236009+0 1.181066-4-7.250226-1 1.182707-4 2.222731+0 1.183937-4 4.647143+0 1.184860-4 6.607002+0 1.186244-4 9.819111+0 1.187628-4 1.347178+1 1.189820-4 2.017197+1 1.191638-4 2.701318+1 1.192860-4 3.318813+1 1.193474-4 3.740089+1 1.195342-4 4.641174+1 1.198462-4 6.055746+1 1.202264-4 8.156234+1 1.205935-4 9.775283+1 1.209141-4 1.024940+2 1.211183-4 9.791504+1 1.213162-4 8.770180+1 1.215627-4 6.596891+1 1.216706-4 5.329163+1 1.217043-4 4.808084+1 1.218756-4 2.488884+1 1.219398-4 1.521135+1 1.219687-4 1.021955+1 1.219875-4 6.309455+0 1.220052-4 3.122281+0 1.220383-4-2.369563+0 1.222155-4-3.020124+1 1.222692-4-4.005805+1 1.223074-4-4.752070+1 1.225630-4-2.742303+1 1.225939-4-2.214450+1 1.226543-4-1.375977+1 1.226794-4-1.058592+1 1.227234-4-5.319741+0 1.227893-4 2.129877+0 1.228388-4 7.666561+0 1.228722-4 1.179456+1 1.229049-4 1.513932+1 1.229643-4 2.029080+1 1.230183-4 2.424044+1 1.231067-4 2.950326+1 1.232061-4 3.378619+1 1.232891-4 3.606278+1 1.233691-4 3.696617+1 1.235903-4 3.463218+1 1.237056-4 3.098109+1 1.237492-4 2.828539+1 1.238762-4 2.183095+1 1.239397-4 1.820449+1 1.239873-4 1.488842+1 1.240191-4 1.196707+1 1.241022-4 5.640589+0 1.241533-4 1.381722+0 1.242760-4-7.590970+0 1.243067-4-1.003108+1 1.243314-4-1.230465+1 1.244333-4-2.038103+1 1.244651-4-2.295341+1 1.246591-4-3.620204+1 1.248074-4-4.448863+1 1.249966-4-5.067626+1 1.252583-4-5.692157+1 1.254119-4-5.585539+1 1.255666-4-5.092166+1 1.256542-4-4.555612+1 1.258664-4-3.092020+1 1.259439-4-2.393384+1 1.259819-4-1.974068+1 1.261344-4-5.904999+0 1.261640-4-3.129555+0 1.262085-4 1.283691+0 1.262308-4 3.693888+0 1.262419-4 5.002610+0 1.262625-4 7.830298+0 1.265670-4 3.896445+1 1.266268-4 4.496692+1 1.269351-4 6.953995+1 1.271399-4 8.058294+1 1.274203-4 8.860323+1 1.277008-4 9.035620+1 1.280764-4 8.250795+1 1.286888-4 5.998392+1 1.292548-4 4.082872+1 1.293536-4 3.636527+1 1.295105-4 3.150016+1 1.297474-4 2.585002+1 1.300248-4 2.054549+1 1.302364-4 1.715008+1 1.304390-4 1.427573+1 1.306676-4 1.140345+1 1.308848-4 8.954232+0 1.311220-4 6.562887+0 1.314733-4 3.485767+0 1.318282-4 8.270779-1 1.320517-4-6.614834-1 1.322751-4-2.031327+0 1.326501-4-4.109636+0 1.331641-4-6.628403+0 1.337851-4-9.300637+0 1.344061-4-1.162664+1 1.354367-4-1.480520+1 1.368912-4-1.820622+1 1.386328-4-2.112174+1 1.411469-4-2.392094+1 1.451720-4-2.646526+1 1.531838-4-2.901226+1 1.713438-4-3.219974+1 2.021273-4-3.522243+1 2.418551-4-3.793389+1 2.985383-4-3.601183+1 3.372201-4-3.523050+1 4.776549-4-3.198039+1 6.246842-4-3.073642+1 7.535390-4-3.125111+1 8.619236-4-3.330596+1 9.403278-4-3.679867+1 9.837140-4-4.081685+1 1.006429-3-4.495606+1 1.018184-3-4.924486+1 1.032407-3-5.610516+1 1.040544-3-5.584202+1 1.071042-3-4.636283+1 1.089224-3-4.107511+1 1.116859-3-3.668411+1 1.154782-3-3.254710+1 1.220464-3-2.774375+1 1.281422-3-2.475608+1 1.319185-3-2.429119+1 1.347508-3-2.506530+1 1.381499-3-2.189193+1 1.419708-3-2.007118+1 1.466837-3-1.916370+1 1.500781-3-1.725714+1 1.562035-3-1.532658+1 1.609012-3-1.464285+1 1.636963-3-1.406730+1 1.682166-3-1.250182+1 1.773169-3-1.062857+1 1.883649-3-9.041599+0 2.028665-3-7.577570+0 2.168502-3-6.589309+0 2.339700-3-5.724865+0 2.548607-3-5.063033+0 2.856087-3-4.547256+0 3.147870-3-4.347646+0 3.560442-3-4.363228+0 4.063556-3-4.649468+0 4.643816-3-5.237249+0 5.231447-3-6.140273+0 5.657150-3-7.141479+0 5.949161-3-8.205234+0 6.136626-3-9.283131+0 6.260352-3-1.045487+1 6.337645-3-1.181433+1 6.425259-3-1.418428+1 6.461190-3-1.440041+1 6.507264-3-1.353822+1 6.571846-3-1.182920+1 6.641161-3-1.075329+1 6.746808-3-1.001163+1 6.855696-3-9.882582+0 6.937861-3-1.037344+1 7.004232-3-1.081588+1 7.053456-3-1.050757+1 7.169475-3-8.867455+0 7.254680-3-8.308362+0 7.391371-3-8.080058+0 7.464370-3-7.387023+0 7.555467-3-6.417956+0 7.688352-3-5.502830+0 7.890590-3-4.555834+0 8.164551-3-3.632400+0 8.408655-3-3.017299+0 8.715799-3-2.418969+0 9.054719-3-1.907669+0 9.427032-3-1.483711+0 9.778087-3-1.171975+0 1.014935-2-9.140625-1 1.049108-2-7.257242-1 1.090381-2-5.526592-1 1.128215-2-4.272920-1 1.161044-2-3.410340-1 1.196354-2-2.650899-1 1.236371-2-1.968318-1 1.262857-2-1.611157-1 1.279013-2-1.430138-1 1.307041-2-1.183721-1 1.345085-2-9.190249-2 1.367533-2-8.015542-2 1.401024-2-6.926878-2 1.431466-2-6.308032-2 1.471076-2-6.140425-2 1.533314-2-6.758032-2 1.583753-2-7.837645-2 1.635874-2-9.518286-2 1.694590-2-1.187283-1 1.762388-2-1.526597-1 1.941445-2-2.563233-1 3.045442-2-9.624275-1 3.543032-2-1.323523+0 3.845773-2-1.614327+0 4.067498-2-1.918588+0 4.215064-2-2.223142+0 4.315508-2-2.541218+0 4.387651-2-2.910133+0 4.431479-2-3.299846+0 4.477135-2-3.992038+0 4.507207-2-4.391837+0 4.531112-2-4.404244+0 4.560512-2-4.020560+0 4.609597-2-3.189927+0 4.646438-2-2.784336+0 4.702877-2-2.387808+0 4.779418-2-2.030975+0 4.881485-2-1.704822+0 5.011872-2-1.406006+0 5.145799-2-1.177305+0 5.333684-2-9.466612-1 5.520557-2-7.794047-1 5.762293-2-6.163413-1 6.021803-2-4.876968-1 6.183723-2-4.233976-1 6.343324-2-3.708943-1 6.654347-2-2.927863-1 6.842174-2-2.557356-1 7.018704-2-2.271641-1 7.390065-2-1.831578-1 7.769242-2-1.537292-1 7.985088-2-1.414499-1 8.541942-2-1.220313-1 8.978890-2-1.153793-1 9.654476-2-1.160659-1 1.041589-1-1.242272-1 1.123764-1-1.377385-1 1.573222-1-2.312864-1 1.967738-1-2.940649-1 2.421922-1-3.442123-1 3.133548-1-3.929212-1 4.219512-1-4.323341-1 6.382635-1-4.645427-1 1.183196+0-4.836635-1 3.713375+0-4.911407-1 1.000000+1-4.918066-1 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.139605-1 1.104050-6 3.518606-1 1.136030-6 4.086806-1 1.200474-6 5.506373-1 1.231231-6 6.331211-1 1.254300-6 7.032350-1 1.288902-6 8.229705-1 1.339792-6 1.034255+0 1.378883-6 1.234903+0 1.412002-6 1.436904+0 1.434617-6 1.593514+0 1.456526-6 1.762373+0 1.477750-6 1.944139+0 1.518230-6 2.349016+0 1.556219-6 2.813579+0 1.591871-6 3.343555+0 1.625329-6 3.945016+0 1.641278-6 4.275333+0 1.656729-6 4.628425+0 1.686665-6 5.409807+0 1.714730-6 6.281646+0 1.741040-6 7.255030+0 1.765707-6 8.337675+0 1.788832-6 9.537400+0 1.810511-6 1.086218+1 1.830835-6 1.232014+1 1.849890-6 1.391947+1 1.867753-6 1.566845+1 1.884500-6 1.757535+1 1.900200-6 1.964846+1 1.914919-6 2.189600+1 1.928718-6 2.432609+1 1.941654-6 2.694674+1 1.953782-6 2.976582+1 1.965152-6 3.279099+1 1.975812-6 3.602972+1 1.985805-6 3.948928+1 1.995174-6 4.317680+1 2.003957-6 4.709946+1 2.012191-6 5.126456+1 2.019910-6 5.567923+1 2.027147-6 6.034986+1 2.033932-6 6.528186+1 2.040293-6 7.048016+1 2.048000-6 7.767430+1 2.057087-6 8.773068+1 2.062001-6 9.405658+1 2.066607-6 1.006850+2 2.070925-6 1.076275+2 2.079023-6 1.230544+2 2.086107-6 1.400611+2 2.092307-6 1.588454+2 2.097731-6 1.795526+2 2.102478-6 2.021855+2 2.106631-6 2.265538+2 2.110265-6 2.522846+2 2.113444-6 2.788798+2 2.116227-6 3.057902+2 2.118661-6 3.324831+2 2.122655-6 3.834324+2 2.128363-6 4.737540+2 2.137263-6 6.605624+2 2.140959-6 7.546694+2 2.143588-6 8.268347+2 2.146216-6 9.026894+2 2.151473-6 1.062018+3 2.152130-6 1.082320+3 2.156729-6 1.223781+3 2.158536-6 1.277918+3 2.161986-6 1.376376+3 2.163793-6 1.424347+3 2.165518-6 1.467166+3 2.167243-6 1.506605+3 2.169543-6 1.553155+3 2.171760-6 1.590659+3 2.173814-6 1.618218+3 2.175539-6 1.635634+3 2.177756-6 1.649892+3 2.180713-6 1.654046+3 2.183178-6 1.644231+3 2.184093-6 1.637507+3 2.186181-6 1.615998+3 2.188514-6 1.582124+3 2.190997-6 1.535254+3 2.193507-6 1.477464+3 2.195608-6 1.421915+3 2.196699-6 1.390744+3 2.198948-6 1.322218+3 2.200613-6 1.268235+3 2.203076-6 1.184503+3 2.205524-6 1.098062+3 2.207175-6 1.038706+3 2.209297-6 9.619905+2 2.211597-6 8.793509+2 2.213445-6 8.140411+2 2.214554-6 7.755666+2 2.217182-6 6.871948+2 2.219811-6 6.037814+2 2.223219-6 5.046413+2 2.225067-6 4.557107+2 2.234014-6 2.726334+2 2.235581-6 2.501694+2 2.236895-6 2.335563+2 2.237881-6 2.224310+2 2.239174-6 2.095610+2 2.240542-6 1.980899+2 2.241717-6 1.899718+2 2.242925-6 1.833102+2 2.243837-6 1.794067+2 2.244434-6 1.773774+2 2.245023-6 1.757796+2 2.245604-6 1.746031+2 2.246175-6 1.738296+2 2.246737-6 1.734417+2 2.247845-6 1.737653+2 2.265006-6 3.818422+2 2.272108-6 6.076618+2 2.274465-6 7.063844+2 2.277835-6 8.708406+2 2.280340-6 1.012204+3 2.283023-6 1.182899+3 2.285999-6 1.396506+3 2.287785-6 1.537261+3 2.290593-6 1.777951+3 2.293402-6 2.041972+3 2.299370-6 2.675492+3 2.300028-6 2.750805+3 2.304987-6 3.345682+3 2.306798-6 3.572228+3 2.310254-6 4.012039+3 2.313106-6 4.376178+3 2.315871-6 4.723600+3 2.318723-6 5.069688+3 2.321488-6 5.386565+3 2.323946-6 5.647683+3 2.326661-6 5.908324+3 2.327457-6 5.978375+3 2.330748-6 6.234139+3 2.333318-6 6.392086+3 2.336270-6 6.524131+3 2.338746-6 6.592010+3 2.344133-6 6.600702+3 2.345669-6 6.568530+3 2.349926-6 6.402918+3 2.352600-6 6.245385+3 2.355192-6 6.057551+3 2.358044-6 5.815812+3 2.360809-6 5.552050+3 2.363267-6 5.298035+3 2.365636-6 5.039753+3 2.369235-6 4.630946+3 2.372044-6 4.305013+3 2.375203-6 3.938568+3 2.377661-6 3.657975+3 2.383278-6 3.046556+3 2.385209-6 2.849486+3 2.388895-6 2.495902+3 2.393810-6 2.075121+3 2.400369-6 1.607664+3 2.409074-6 1.143533+3 2.411954-6 1.024460+3 2.414823-6 9.205243+2 2.417681-6 8.300816+2 2.420527-6 7.515479+2 2.423362-6 6.834330+2 2.426187-6 6.243627+2 2.429000-6 5.730917+2 2.434604-6 4.894928+2 2.440165-6 4.255102+2 2.445682-6 3.756625+2 2.451157-6 3.360127+2 2.456588-6 3.037980+2 2.461977-6 2.771009+2 2.467324-6 2.545901+2 2.472629-6 2.353304+2 2.477893-6 2.186517+2 2.483115-6 2.040620+2 2.488297-6 1.911909+2 2.498579-6 1.694468+2 2.508701-6 1.518826+2 2.518665-6 1.374205+2 2.528473-6 1.253277+2 2.538127-6 1.150868+2 2.547631-6 1.063206+2 2.556987-6 9.874658+1 2.566196-6 9.214854+1 2.575261-6 8.635757+1 2.584185-6 8.123918+1 2.601753-6 7.254685+1 2.618773-6 6.552181+1 2.635260-6 5.974377+1 2.651233-6 5.492491+1 2.666706-6 5.085691+1 2.681696-6 4.738651+1 2.696217-6 4.439904+1 2.710284-6 4.180446+1 2.737540-6 3.745570+1 2.763092-6 3.402544+1 2.787048-6 3.126736+1 2.809506-6 2.901319+1 2.830560-6 2.714535+1 2.850299-6 2.557874+1 2.887308-6 2.302160+1 2.919692-6 2.111169+1 2.948027-6 1.965665+1 2.997614-6 1.747362+1 3.034805-6 1.607956+1 3.090590-6 1.429604+1 3.192842-6 1.167451+1 3.301264-6 9.523254+0 3.392035-6 7.972116+0 3.460113-6 6.850876+0 3.507980-6 6.039653+0 3.527526-6 5.690196+0 3.544629-6 5.369825+0 3.559593-6 5.074885+0 3.584145-6 4.551463+0 3.604195-6 4.073396+0 3.619233-6 3.673947+0 3.630512-6 3.347297+0 3.638970-6 3.087463+0 3.645314-6 2.885968+0 3.650073-6 2.732671+0 3.657210-6 2.503049+0 3.673622-6 2.022206+0 3.682385-6 1.838667+0 3.685578-6 1.794284+0 3.687174-6 1.777772+0 3.688770-6 1.765457+0 3.695547-6 1.767543+0 3.697805-6 1.790916+0 3.700064-6 1.827379+0 3.703452-6 1.909030+0 3.705993-6 1.993522+0 3.706840-6 2.026439+0 3.711145-6 2.233324+0 3.713633-6 2.385308+0 3.716445-6 2.587978+0 3.719029-6 2.805020+0 3.722423-6 3.137606+0 3.726709-6 3.639733+0 3.739395-6 5.715317+0 3.744942-6 6.915862+0 3.750009-6 8.169078+0 3.755406-6 9.661270+0 3.759860-6 1.100549+1 3.764012-6 1.233977+1 3.767865-6 1.363702+1 3.771589-6 1.493433+1 3.775425-6 1.630242+1 3.779813-6 1.788859+1 3.785215-6 1.983904+1 3.789098-6 2.121513+1 3.792238-6 2.229836+1 3.795937-6 2.352687+1 3.800545-6 2.496328+1 3.805311-6 2.631306+1 3.808836-6 2.720629+1 3.817675-6 2.898923+1 3.820776-6 2.944511+1 3.826695-6 3.005608+1 3.831354-6 3.029472+1 3.836340-6 3.031743+1 3.840411-6 3.016483+1 3.845755-6 2.974717+1 3.850908-6 2.913378+1 3.852626-6 2.888822+1 3.859484-6 2.773314+1 3.861771-6 2.729504+1 3.868629-6 2.586179+1 3.870916-6 2.535385+1 3.880061-6 2.324256+1 3.889206-6 2.111641+1 3.908818-6 1.701002+1 3.916218-6 1.571476+1 3.923387-6 1.460742+1 3.930332-6 1.366863+1 3.937060-6 1.287574+1 3.950095-6 1.162151+1 3.962315-6 1.071475+1 3.973772-6 1.003765+1 3.984512-6 9.513042+0 4.004651-6 8.723441+0 4.022272-6 8.168095+0 4.053109-6 7.375226+0 4.099365-6 6.412504+0 4.145640-6 5.554392+0 4.155844-6 5.364400+0 4.166048-6 5.169869+0 4.176252-6 4.968575+0 4.186456-6 4.758540+0 4.196660-6 4.538625+0 4.206864-6 4.309381+0 4.214925-6 4.123732+0 4.242535-6 3.518869+0 4.248972-6 3.406051+0 4.254170-6 3.330116+0 4.258795-6 3.276590+0 4.263420-6 3.238561+0 4.273863-6 3.220530+0 4.276735-6 3.234226+0 4.285353-6 3.329012+0 4.287951-6 3.374074+0 4.291849-6 3.456314+0 4.295747-6 3.556107+0 4.301222-6 3.725298+0 4.305694-6 3.887438+0 4.311562-6 4.130033+0 4.328750-6 4.982789+0 4.337324-6 5.443363+0 4.347719-6 5.980991+0 4.349018-6 6.044322+0 4.358113-6 6.450268+0 4.362318-6 6.611077+0 4.370345-6 6.861049+0 4.372945-6 6.924575+0 4.377494-6 7.014130+0 4.380906-6 7.062929+0 4.386024-6 7.106509+0 4.391142-6 7.115152+0 4.395416-6 7.096618+0 4.399690-6 7.055936+0 4.407486-6 6.929837+0 4.410085-6 6.874433+0 4.420479-6 6.597937+0 4.430500-6 6.269000+0 4.451385-6 5.493679+0 4.466383-6 4.936860+0 4.495987-6 3.978433+0 4.507792-6 3.668126+0 4.518120-6 3.435911+0 4.529186-6 3.231515+0 4.540915-6 3.068776+0 4.546435-6 3.012029+0 4.551956-6 2.967938+0 4.555170-6 2.947972+0 4.560794-6 2.922715+0 4.565012-6 2.911410+0 4.571339-6 2.905537+0 4.577667-6 2.911057+0 4.586719-6 2.933543+0 4.610255-6 3.010570+0 4.619537-6 3.021407+0 4.626930-6 3.013290+0 4.631365-6 2.999955+0 4.637065-6 2.972732+0 4.641339-6 2.944643+0 4.647752-6 2.890178+0 4.654164-6 2.821438+0 4.658730-6 2.764391+0 4.663296-6 2.701231+0 4.668351-6 2.624968+0 4.673407-6 2.543019+0 4.684448-6 2.349442+0 4.695489-6 2.144772+0 4.702240-6 2.018382+0 4.708991-6 1.893267+0 4.721032-6 1.677541+0 4.732149-6 1.491139+0 4.751570-6 1.209528+0 4.755099-6 1.166997+0 4.760393-6 1.110348+0 4.765688-6 1.064266+0 4.769385-6 1.039828+0 4.774932-6 1.018007+0 4.777705-6 1.015050+0 4.780479-6 1.018293+0 4.783643-6 1.030538+0 4.786412-6 1.049654+0 4.788835-6 1.073553+0 4.793075-6 1.133525+0 4.796255-6 1.195588+0 4.798640-6 1.252897+0 4.800428-6 1.302449+0 4.803111-6 1.388144+0 4.805795-6 1.488532+0 4.808758-6 1.617981+0 4.811954-6 1.781288+0 4.815704-6 2.007205+0 4.820662-6 2.368682+0 4.827822-6 3.032771+0 4.838128-6 4.327902+0 4.842160-6 4.955984+0 4.854662-6 7.376299+0 4.855363-6 7.533863+0 4.866287-6 1.028706+1 4.869843-6 1.130024+1 4.872103-6 1.197240+1 4.879424-6 1.428558+1 4.883498-6 1.565240+1 4.888970-6 1.755969+1 4.893629-6 1.923136+1 4.897805-6 2.075236+1 4.902994-6 2.265087+1 4.908043-6 2.448301+1 4.913371-6 2.637077+1 4.918485-6 2.811043+1 4.923316-6 2.966418+1 4.927595-6 3.094883+1 4.934388-6 3.277738+1 4.939303-6 3.391405+1 4.950213-6 3.579728+1 4.955615-6 3.637670+1 4.963233-6 3.678123+1 4.968617-6 3.677771+1 4.972359-6 3.663816+1 4.975538-6 3.643445+1 4.979500-6 3.607586+1 4.985800-6 3.528236+1 4.989407-6 3.471534+1 4.994267-6 3.383585+1 4.997918-6 3.309727+1 5.006375-6 3.117688+1 5.012948-6 2.953138+1 5.020706-6 2.748357+1 5.032420-6 2.431591+1 5.034934-6 2.364069+1 5.046986-6 2.050507+1 5.057677-6 1.793856+1 5.090107-6 1.180845+1 5.105695-6 9.714500+0 5.122904-6 7.891155+0 5.146246-6 6.001343+0 5.153569-6 5.517563+0 5.161468-6 5.052075+0 5.168433-6 4.693820+0 5.174789-6 4.415155+0 5.178471-6 4.277385+0 5.181540-6 4.177240+0 5.185530-6 4.068734+0 5.189520-6 3.986979+0 5.192386-6 3.946218+0 5.193954-6 3.930672+0 5.196896-6 3.915162+0 5.202044-6 3.933873+0 5.209765-6 4.083501+0 5.213626-6 4.218777+0 5.216521-6 4.348795+0 5.219719-6 4.522191+0 5.227363-6 5.070669+0 5.231084-6 5.409373+0 5.236026-6 5.934654+0 5.242690-6 6.782263+0 5.261039-6 9.929021+0 5.268646-6 1.154937+1 5.275046-6 1.302749+1 5.280473-6 1.434524+1 5.286466-6 1.584816+1 5.292255-6 1.732576+1 5.294203-6 1.782415+1 5.300392-6 1.939861+1 5.306146-6 2.082848+1 5.308528-6 2.140486+1 5.313944-6 2.266966+1 5.319360-6 2.385545+1 5.320159-6 2.402254+1 5.332937-6 2.636848+1 5.337055-6 2.697577+1 5.344917-6 2.790868+1 5.349309-6 2.829467+1 5.353502-6 2.857058+1 5.357695-6 2.875592+1 5.360890-6 2.883687+1 5.368078-6 2.883333+1 5.370474-6 2.877698+1 5.376863-6 2.849981+1 5.383252-6 2.805180+1 5.389641-6 2.745291+1 5.396030-6 2.672534+1 5.405614-6 2.544432+1 5.408809-6 2.497866+1 5.421587-6 2.299958+1 5.434366-6 2.095867+1 5.465787-6 1.645548+1 5.472473-6 1.566861+1 5.479158-6 1.495254+1 5.485844-6 1.430785+1 5.492529-6 1.373344+1 5.499215-6 1.322690+1 5.505900-6 1.278474+1 5.512586-6 1.240269+1 5.519271-6 1.207590+1 5.525957-6 1.179911+1 5.532642-6 1.156687+1 5.539328-6 1.137361+1 5.552699-6 1.108207+1 5.566070-6 1.088224+1 5.592812-6 1.061332+1 5.618406-6 1.036249+1 5.632925-6 1.018645+1 5.646296-6 9.999264+0 5.673039-6 9.572256+0 5.713784-6 8.900319+0 5.741502-6 8.498036+0 5.777104-6 8.071400+0 5.833982-6 7.550466+0 5.905080-6 7.057463+0 5.990398-6 6.592519+0 6.061496-6 6.272854+0 6.153022-6 5.921939+0 6.244548-6 5.615827+0 6.336769-6 5.343556+0 6.595512-6 4.701303+0 6.830664-6 4.210901+0 6.948243-6 3.976646+0 7.045869-6 3.772974+0 7.102576-6 3.636780+0 7.206894-6 3.354986+0 7.224546-6 3.321104+0 7.242198-6 3.299278+0 7.259850-6 3.292401+0 7.274474-6 3.299275+0 7.289098-6 3.317635+0 7.312806-6 3.369002+0 7.365762-6 3.527945+0 7.383414-6 3.572984+0 7.397987-6 3.600540+0 7.413102-6 3.617783+0 7.424465-6 3.622544+0 7.436370-6 3.619961+0 7.454022-6 3.602762+0 7.471674-6 3.571816+0 7.489326-6 3.530351+0 7.524630-6 3.429338+0 7.659383-6 3.044261+0 7.781943-6 2.719531+0 7.811458-6 2.662804+0 7.833706-6 2.636580+0 7.852707-6 2.628335+0 7.864862-6 2.630442+0 7.886331-6 2.647977+0 7.901329-6 2.669589+0 7.941478-6 2.751121+0 7.979090-6 2.827309+0 8.004771-6 2.860434+0 8.022911-6 2.870009+0 8.041051-6 2.867358+0 8.060184-6 2.852192+0 8.086739-6 2.814224+0 8.117582-6 2.754920+0 8.202113-6 2.585080+0 8.341535-6 2.356645+0 8.382437-6 2.298387+0 8.409445-6 2.265369+0 8.440854-6 2.234374+0 8.477746-6 2.208830+0 8.566031-6 2.171670+0 8.592598-6 2.155825+0 8.623633-6 2.129536+0 8.665430-6 2.081145+0 8.776394-6 1.935047+0 8.832208-6 1.879093+0 9.009245-6 1.735824+0 9.124544-6 1.640834+0 9.211696-6 1.566192+0 9.300000-6 1.485100+0 9.479704-6 1.325906+0 9.600000-6 1.233390+0 9.885531-6 1.016286+0 1.023293-5 7.691742-1 1.043334-5 6.386102-1 1.071589-5 4.705127-1 1.085702-5 3.936597-1 1.110855-5 2.720169-1 1.141790-5 1.489334-1 1.157095-5 1.003009-1 1.171921-5 6.293466-2 1.186284-5 3.585030-2 1.200198-5 1.867338-2 1.213677-5 1.110631-2 1.215000-5 1.087925-2 1.216186-5 1.075791-2 1.226738-5 1.319542-2 1.239385-5 2.468665-2 1.251640-5 4.516979-2 1.263511-5 7.447915-2 1.275012-5 1.123499-1 1.291464-5 1.773034-1 1.304876-5 2.097169-1 1.323693-5 1.766832-1 1.335546-5 1.377386-1 1.344796-5 1.093689-1 1.355625-5 8.025892-2 1.365000-5 5.909569-2 1.371250-5 4.727240-2 1.378992-5 3.528381-2 1.394776-5 2.011316-2 1.409573-5 1.807989-2 1.423446-5 2.843158-2 1.436451-5 5.018366-2 1.450000-5 8.653484-2 1.460074-5 1.238087-1 1.470790-5 1.741909-1 1.490883-5 2.997378-1 1.508464-5 4.466841-1 1.523848-5 6.088239-1 1.540000-5 8.176966-1 1.549086-5 9.547951-1 1.570000-5 1.328641+0 1.585156-5 1.658910+0 1.610000-5 2.325223+0 1.635548-5 3.191618+0 1.651611-5 3.854008+0 1.667674-5 4.629575+0 1.687753-5 5.775152+0 1.705422-5 6.970355+0 1.738757-5 9.831305+0 1.803689-5 1.868228+1 1.838733-5 2.630285+1 1.858597-5 3.197549+1 1.876619-5 3.822567+1 1.892389-5 4.475121+1 1.906187-5 5.146301+1 1.918260-5 5.826966+1 1.928825-5 6.507417+1 1.941806-5 7.471067+1 1.950000-5 8.163058+1 1.962217-5 9.337481+1 1.970927-5 1.029765+2 1.978889-5 1.128115+2 1.990831-5 1.297976+2 2.002774-5 1.500256+2 2.012633-5 1.697489+2 2.022493-5 1.928537+2 2.032352-5 2.201208+2 2.042211-5 2.525755+2 2.052070-5 2.916029+2 2.057000-5 3.141497+2 2.061929-5 3.391046+2 2.069244-5 3.813567+2 2.076718-5 4.323803+2 2.081647-5 4.713765+2 2.086577-5 5.155289+2 2.091507-5 5.658423+2 2.096436-5 6.236063+2 2.101366-5 6.905080+2 2.104809-5 7.438243+2 2.109889-5 8.347658+2 2.114970-5 9.441641+2 2.120355-5 1.086832+3 2.125131-5 1.244133+3 2.130212-5 1.454353+3 2.132752-5 1.580662+3 2.135293-5 1.724245+3 2.137833-5 1.887913+3 2.140373-5 2.074867+3 2.142914-5 2.288725+3 2.145454-5 2.533526+3 2.149384-5 2.983642+3 2.150693-5 3.155625+3 2.155987-5 3.982339+3 2.163928-5 5.705545+3 2.170545-5 7.689580+3 2.175070-5 9.374529+3 2.177162-5 1.024767+4 2.185477-5 1.428896+4 2.186146-5 1.465072+4 2.190830-5 1.730576+4 2.192670-5 1.839643+4 2.196852-5 2.093182+4 2.199779-5 2.271668+4 2.202328-5 2.424755+4 2.205115-5 2.586607+4 2.208119-5 2.750952+4 2.210787-5 2.884697+4 2.213574-5 3.008908+4 2.216750-5 3.127279+4 2.217929-5 3.164159+4 2.221065-5 3.241867+4 2.223814-5 3.283968+4 2.227080-5 3.300773+4 2.228842-5 3.294577+4 2.233820-5 3.220101+4 2.236214-5 3.155692+4 2.238657-5 3.072434+4 2.240708-5 2.990013+4 2.243235-5 2.874495+4 2.246008-5 2.732608+4 2.248130-5 2.615227+4 2.250514-5 2.476433+4 2.252505-5 2.356342+4 2.255065-5 2.198454+4 2.257741-5 2.031671+4 2.260418-5 1.865745+4 2.263429-5 1.683014+4 2.265770-5 1.545532+4 2.271566-5 1.229887+4 2.273225-5 1.147153+4 2.278203-5 9.217387+3 2.282070-5 7.708907+3 2.286185-5 6.332612+3 2.290697-5 5.077823+3 2.300414-5 3.141889+3 2.303191-5 2.745279+3 2.305967-5 2.404055+3 2.308744-5 2.111088+3 2.311520-5 1.859811+3 2.314296-5 1.644278+3 2.317073-5 1.459189+3 2.319849-5 1.299890+3 2.322626-5 1.162342+3 2.325402-5 1.043083+3 2.328179-5 9.391780+2 2.333731-5 7.679637+2 2.339284-5 6.335321+2 2.344956-5 5.234722+2 2.357054-5 3.501953+2 2.361348-5 3.030353+2 2.368657-5 2.355335+2 2.374459-5 1.915790+2 2.380260-5 1.548547+2 2.386062-5 1.244572+2 2.397665-5 7.974405+1 2.400566-5 7.146595+1 2.403467-5 6.421469+1 2.406773-5 5.712983+1 2.410079-5 5.122916+1 2.413045-5 4.688794+1 2.414528-5 4.504080+1 2.416011-5 4.340247+1 2.417494-5 4.196798+1 2.420089-5 3.993356+1 2.422396-5 3.861555+1 2.424956-5 3.766954+1 2.426415-5 3.736265+1 2.427875-5 3.721784+1 2.431344-5 3.748734+1 2.433066-5 3.791990+1 2.433807-5 3.816284+1 2.439269-5 4.087952+1 2.442478-5 4.310339+1 2.452321-5 5.151076+1 2.457278-5 5.600633+1 2.463468-5 6.156340+1 2.469228-5 6.717913+1 2.471434-5 6.973043+1 2.472709-5 7.138410+1 2.475215-5 7.516503+1 2.476910-5 7.824012+1 2.477822-5 8.011416+1 2.479021-5 8.284527+1 2.480364-5 8.632312+1 2.481046-5 8.827788+1 2.483289-5 9.576172+1 2.484422-5 1.002454+2 2.485795-5 1.064149+2 2.487548-5 1.156337+2 2.489024-5 1.247149+2 2.490602-5 1.359654+2 2.492375-5 1.507461+2 2.493855-5 1.650578+2 2.495758-5 1.864364+2 2.498413-5 2.226839+2 2.501909-5 2.840047+2 2.510468-5 5.212200+2 2.513939-5 6.631788+2 2.517646-5 8.512590+2 2.520563-5 1.029180+3 2.522503-5 1.163486+3 2.534370-5 2.301195+3 2.540932-5 3.180486+3 2.542050-5 3.347649+3 2.547575-5 4.239156+3 2.549739-5 4.614089+3 2.550772-5 4.797137+3 2.554425-5 5.460592+3 2.557446-5 6.020737+3 2.559986-5 6.492794+3 2.562705-5 6.991692+3 2.565636-5 7.513863+3 2.568169-5 7.944582+3 2.571045-5 8.402154+3 2.572137-5 8.565422+3 2.575849-5 9.069097+3 2.578772-5 9.402092+3 2.580249-5 9.546547+3 2.583163-5 9.781274+3 2.585572-5 9.922504+3 2.591359-5 1.005782+4 2.594347-5 1.001463+4 2.596481-5 9.938125+3 2.599478-5 9.769579+3 2.601450-5 9.622063+3 2.603240-5 9.464924+3 2.606176-5 9.163367+3 2.609473-5 8.768284+3 2.612226-5 8.400602+3 2.614881-5 8.020539+3 2.618704-5 7.442119+3 2.621642-5 6.982655+3 2.625284-5 6.407373+3 2.627470-5 6.064339+3 2.633737-5 5.114314+3 2.635954-5 4.796388+3 2.641014-5 4.117708+3 2.647744-5 3.330861+3 2.659437-5 2.292708+3 2.665070-5 1.928687+3 2.667884-5 1.775141+3 2.671135-5 1.618546+3 2.674505-5 1.477304+3 2.680412-5 1.273571+3 2.686170-5 1.118375+3 2.691293-5 1.007953+3 2.695145-5 9.383374+2 2.700858-5 8.516312+2 2.707286-5 7.720486+2 2.713403-5 7.093249+2 2.721142-5 6.431441+2 2.728690-5 5.890424+2 2.741727-5 5.128834+2 2.749523-5 4.753207+2 2.755158-5 4.512179+2 2.762679-5 4.225980+2 2.774356-5 3.854184+2 2.780092-5 3.701430+2 2.785206-5 3.581074+2 2.789403-5 3.493271+2 2.796292-5 3.370504+2 2.801802-5 3.291377+2 2.809057-5 3.212936+2 2.815596-5 3.166644+2 2.820959-5 3.144800+2 2.825819-5 3.136144+2 2.833689-5 3.139996+2 2.849340-5 3.177831+2 2.856626-5 3.190618+2 2.860999-5 3.192704+2 2.866954-5 3.187005+2 2.872507-5 3.172267+2 2.882046-5 3.127460+2 2.891075-5 3.068479+2 2.909608-5 2.932574+2 2.923704-5 2.841192+2 2.939844-5 2.757828+2 2.961647-5 2.670383+2 3.005982-5 2.520222+2 3.059301-5 2.339919+2 3.100652-5 2.223892+2 3.166743-5 2.071850+2 3.230732-5 1.948823+2 3.313661-5 1.819413+2 3.412912-5 1.691769+2 3.520320-5 1.579123+2 3.610608-5 1.500185+2 3.686658-5 1.441401+2 3.803381-5 1.362626+2 3.935501-5 1.287609+2 4.223875-5 1.159018+2 4.413957-5 1.089875+2 4.450346-5 1.081451+2 4.504302-5 1.072688+2 4.546257-5 1.062848+2 4.621783-5 1.040175+2 4.893414-5 9.825584+1 5.120000-5 9.456543+1 5.382237-5 9.122790+1 5.599333-5 8.915787+1 6.088311-5 8.618838+1 6.730000-5 8.396229+1 7.413102-5 8.215535+1 7.762471-5 8.090015+1 8.035261-5 7.961584+1 8.222426-5 7.854370+1 8.522000-5 7.649269+1 8.709636-5 7.492531+1 8.912509-5 7.297611+1 9.120108-5 7.070291+1 9.316910-5 6.820626+1 9.507102-5 6.553037+1 9.696734-5 6.261931+1 9.837844-5 6.028490+1 9.971628-5 5.793542+1 1.019133-4 5.390535+1 1.029363-4 5.232468+1 1.038682-4 5.212922+1 1.047129-4 5.370690+1 1.054316-4 5.614409+1 1.062923-4 5.989331+1 1.071519-4 6.438006+1 1.079004-4 6.895630+1 1.084061-4 7.246087+1 1.088960-4 7.621939+1 1.093706-4 8.024076+1 1.100318-4 8.654480+1 1.107120-4 9.400471+1 1.115302-4 1.045335+2 1.123024-4 1.163661+2 1.130272-4 1.295362+2 1.137074-4 1.441305+2 1.143457-4 1.602339+2 1.149448-4 1.779323+2 1.153255-4 1.907301+2 1.157836-4 2.080004+2 1.163023-4 2.304511+2 1.167886-4 2.548331+2 1.172445-4 2.812179+2 1.177237-4 3.134032+2 1.180726-4 3.402738+2 1.184482-4 3.730785+2 1.188004-4 4.081485+2 1.191305-4 4.455348+2 1.194401-4 4.852797+2 1.197302-4 5.274176+2 1.200023-4 5.719781+2 1.202573-4 6.189896+2 1.206471-4 7.028004+2 1.209307-4 7.750725+2 1.212820-4 8.818365+2 1.214856-4 9.548086+2 1.218102-4 1.093463+3 1.220943-4 1.244541+3 1.223429-4 1.407743+3 1.225604-4 1.581861+3 1.227507-4 1.764763+3 1.229172-4 1.953595+3 1.230629-4 2.145116+3 1.231904-4 2.336044+3 1.234135-4 2.731700+3 1.235809-4 3.088481+3 1.238005-4 3.648986+3 1.240829-4 4.550009+3 1.246100-4 6.885275+3 1.247159-4 7.468382+3 1.253106-4 1.144555+4 1.256175-4 1.388472+4 1.256559-4 1.420153+4 1.259244-4 1.645216+4 1.260300-4 1.733632+4 1.262314-4 1.898590+4 1.263417-4 1.985112+4 1.264597-4 2.073300+4 1.265561-4 2.141138+4 1.266826-4 2.223319+4 1.268046-4 2.293990+4 1.269220-4 2.352947+4 1.270227-4 2.395721+4 1.271713-4 2.444554+4 1.273512-4 2.479162+4 1.274872-4 2.486676+4 1.276745-4 2.470227+4 1.278212-4 2.436003+4 1.279201-4 2.402721+4 1.280689-4 2.338190+4 1.281891-4 2.274403+4 1.284083-4 2.135066+4 1.285415-4 2.038817+4 1.286908-4 1.923551+4 1.288446-4 1.799688+4 1.289937-4 1.677943+4 1.291855-4 1.523893+4 1.296171-4 1.217553+4 1.297844-4 1.123299+4 1.299243-4 1.057764+4 1.300105-4 1.023889+4 1.300840-4 9.990262+3 1.301886-4 9.701836+3 1.302811-4 9.510542+3 1.303803-4 9.372014+3 1.305623-4 9.291213+3 1.306643-4 9.339034+3 1.307408-4 9.415722+3 1.308615-4 9.602510+3 1.309893-4 9.879213+3 1.311467-4 1.031305+4 1.313906-4 1.113237+4 1.317219-4 1.236933+4 1.318952-4 1.299813+4 1.320455-4 1.350046+4 1.321487-4 1.381209+4 1.324688-4 1.454720+4 1.326101-4 1.474079+4 1.328409-4 1.486587+4 1.329820-4 1.482344+4 1.330704-4 1.475160+4 1.331560-4 1.464983+4 1.332992-4 1.441188+4 1.334228-4 1.414283+4 1.335726-4 1.374565+4 1.337068-4 1.333220+4 1.339128-4 1.261001+4 1.340582-4 1.205189+4 1.341470-4 1.169644+4 1.343084-4 1.103178+4 1.343662-4 1.079025+4 1.346797-4 9.475630+3 1.347469-4 9.197902+3 1.352608-4 7.215744+3 1.358805-4 5.312549+3 1.360626-4 4.866286+3 1.362470-4 4.464190+3 1.363993-4 4.167525+3 1.366191-4 3.791323+3 1.368441-4 3.462824+3 1.370898-4 3.160682+3 1.371766-4 3.066190+3 1.374183-4 2.832396+3 1.376794-4 2.620917+3 1.379848-4 2.416545+3 1.382834-4 2.251538+3 1.386592-4 2.080532+3 1.390181-4 1.945601+3 1.394575-4 1.807881+3 1.398169-4 1.712118+3 1.401894-4 1.625252+3 1.408887-4 1.488245+3 1.415771-4 1.378841+3 1.420751-4 1.312050+3 1.426056-4 1.250310+3 1.432437-4 1.186815+3 1.438858-4 1.132710+3 1.447000-4 1.075490+3 1.455321-4 1.027513+3 1.465283-4 9.809410+2 1.471563-4 9.563871+2 1.485063-4 9.129953+2 1.499125-4 8.778200+2 1.513799-4 8.486968+2 1.531087-4 8.209295+2 1.554885-4 7.894916+2 1.587751-4 7.533976+2 1.633579-4 7.115992+2 1.699595-4 6.630135+2 1.744354-4 6.354187+2 1.795613-4 6.084166+2 1.851399-4 5.829775+2 1.904847-4 5.622326+2 1.966814-4 5.418361+2 2.041738-4 5.216617+2 2.101745-4 5.077684+2 2.209000-4 4.872710+2 2.336388-4 4.634685+2 2.381199-4 4.517441+2 2.404127-4 4.437828+2 2.423702-4 4.386828+2 2.436112-4 4.382856+2 2.454906-4 4.417441+2 2.471623-4 4.448129+2 2.503161-4 4.450374+2 2.521536-4 4.470400+2 2.556284-4 4.563737+2 2.601203-4 4.662499+2 2.701625-4 4.783490+2 2.779616-4 4.856183+2 2.862329-4 4.990506+2 3.020821-4 5.181055+2 3.240000-4 5.373408+2 3.379348-4 5.455854+2 3.427530-4 5.503922+2 3.455831-4 5.550039+2 3.525445-4 5.683984+2 3.687501-4 5.904714+2 3.995283-4 6.214728+2 4.335421-4 6.481024+2 4.680718-4 6.703082+2 5.173089-4 6.939092+2 5.689247-4 7.091765+2 6.219422-4 7.152517+2 6.766443-4 7.114059+2 7.249574-4 6.980433+2 7.733202-4 6.758076+2 8.179244-4 6.479873+2 8.535914-4 6.196503+2 8.874114-4 5.866880+2 9.174529-4 5.511711+2 9.430812-4 5.149838+2 9.605801-4 4.865313+2 9.800765-4 4.498438+2 9.962966-4 4.143015+2 1.010250-3 3.793805+2 1.020352-3 3.508789+2 1.028818-3 3.245248+2 1.035049-3 3.051762+2 1.042537-3 2.970181+2 1.048764-3 3.503528+2 1.050462-3 3.866832+2 1.051020-3 4.015915+2 1.054679-3 5.437430+2 1.056194-3 6.290065+2 1.058781-3 8.149743+2 1.061383-3 1.053642+3 1.064088-3 1.348998+3 1.064341-3 1.378570+3 1.066740-3 1.667781+3 1.069074-3 1.951967+3 1.071435-3 2.221242+3 1.074653-3 2.524102+3 1.077207-3 2.690697+3 1.079042-3 2.766057+3 1.079867-3 2.788222+3 1.080971-3 2.807393+3 1.082272-3 2.816086+3 1.083661-3 2.811401+3 1.084562-3 2.802176+3 1.086166-3 2.777086+3 1.092962-3 2.641627+3 1.099393-3 2.542758+3 1.101004-3 2.510253+3 1.102727-3 2.465362+3 1.103353-3 2.445898+3 1.105987-3 2.342845+3 1.106496-3 2.318861+3 1.109478-3 2.152624+3 1.111722-3 2.003534+3 1.113887-3 1.847437+3 1.117153-3 1.607150+3 1.122251-3 1.273790+3 1.124809-3 1.142951+3 1.128604-3 1.001104+3 1.130111-3 9.612207+2 1.133747-3 8.973931+2 1.136693-3 8.720975+2 1.141293-3 8.628315+2 1.147048-3 8.772719+2 1.161451-3 9.377539+2 1.173132-3 9.838508+2 1.185939-3 1.031043+3 1.210708-3 1.117599+3 1.227328-3 1.170170+3 1.251287-3 1.234232+3 1.273503-3 1.281979+3 1.298841-3 1.323329+3 1.318257-3 1.344571+3 1.336623-3 1.354292+3 1.352265-3 1.354494+3 1.371882-3 1.350652+3 1.378542-3 1.353708+3 1.385883-3 1.363420+3 1.395612-3 1.387346+3 1.416982-3 1.455602+3 1.431056-3 1.494284+3 1.446399-3 1.529445+3 1.457773-3 1.549327+3 1.473830-3 1.568612+3 1.507593-3 1.597235+3 1.525398-3 1.624002+3 1.561320-3 1.685373+3 1.573915-3 1.703091+3 1.591968-3 1.723156+3 1.612669-3 1.739440+3 1.633151-3 1.749671+3 1.682456-3 1.760134+3 1.694576-3 1.768584+3 1.711759-3 1.789995+3 1.740689-3 1.828790+3 1.759718-3 1.845815+3 1.783675-3 1.860483+3 1.846707-3 1.884203+3 1.928187-3 1.902086+3 2.032942-3 1.911866+3 2.134798-3 1.909950+3 2.280998-3 1.895507+3 2.415562-3 1.875829+3 2.639392-3 1.829776+3 2.818383-3 1.786403+3 3.112612-3 1.713389+3 3.232658-3 1.682551+3 3.502689-3 1.607388+3 3.845918-3 1.515347+3 4.198798-3 1.421701+3 4.390778-3 1.372271+3 4.597269-3 1.320177+3 4.807828-3 1.268090+3 5.016325-3 1.217290+3 5.231447-3 1.164499+3 5.422923-3 1.117356+3 5.583095-3 1.077688+3 5.736824-3 1.038923+3 5.867634-3 1.004444+3 5.988002-3 9.713117+2 6.093085-3 9.407744+2 6.183915-3 9.125515+2 6.268306-3 8.841397+2 6.335595-3 8.592697+2 6.391177-3 8.365039+2 6.442193-3 8.128521+2 6.484404-3 7.901388+2 6.517880-3 7.692040+2 6.544134-3 7.506541+2 6.596336-3 7.097364+2 6.634914-3 6.815456+2 6.659548-3 6.684021+2 6.680786-3 6.619309+2 6.693596-3 6.605669+2 6.713574-3 6.623796+2 6.730812-3 6.675766+2 6.757950-3 6.812668+2 6.832878-3 7.320291+2 6.868897-3 7.525229+2 6.907391-3 7.684329+2 6.935099-3 7.763634+2 6.972735-3 7.833572+2 7.009293-3 7.868601+2 7.053124-3 7.875596+2 7.095402-3 7.849069+2 7.132402-3 7.799670+2 7.232856-3 7.599778+2 7.270589-3 7.559563+2 7.302595-3 7.570323+2 7.335650-3 7.629802+2 7.373809-3 7.746872+2 7.446673-3 8.007164+2 7.472285-3 8.081562+2 7.498945-3 8.142172+2 7.529914-3 8.190956+2 7.649341-3 8.273848+2 7.698190-3 8.342176+2 7.768857-3 8.517764+2 7.867233-3 8.785237+2 7.943410-3 8.926393+2 8.001081-3 8.997609+2 8.133968-3 9.095993+2 8.271383-3 9.142780+2 8.529687-3 9.153323+2 8.728961-3 9.116298+2 9.088841-3 8.981261+2 9.549926-3 8.744936+2 1.014852-2 8.386731+2 1.076180-2 7.994079+2 1.164231-2 7.434905+2 1.280531-2 6.749688+2 1.399824-2 6.126221+2 1.578107-2 5.333337+2 1.790781-2 4.575166+2 1.998613-2 3.979439+2 2.233283-2 3.430959+2 2.417379-2 3.068691+2 2.621934-2 2.721284+2 2.817274-2 2.434768+2 3.160856-2 2.022535+2 3.547496-2 1.668816+2 3.800918-2 1.478650+2 4.004775-2 1.340828+2 4.163610-2 1.239462+2 4.291194-2 1.159407+2 4.382220-2 1.101018+2 4.453998-2 1.052027+2 4.485413-2 1.028810+2 4.512061-2 1.007570+2 4.535038-2 9.875029+1 4.554030-2 9.692148+1 4.580942-2 9.401277+1 4.641195-2 8.702817+1 4.661846-2 8.534513+1 4.678557-2 8.460888+1 4.689759-2 8.447304+1 4.707096-2 8.481082+1 4.727934-2 8.592941+1 4.783391-2 9.014740+1 4.798214-2 9.109378+1 4.828712-2 9.254870+1 4.862791-2 9.350717+1 4.910092-2 9.410257+1 4.960000-2 9.421488+1 5.036107-2 9.384181+1 5.173090-2 9.234224+1 5.327999-2 9.000779+1 5.519185-2 8.667485+1 5.766280-2 8.215926+1 6.086976-2 7.641034+1 6.574331-2 6.836553+1 7.114884-2 6.052805+1 7.681152-2 5.347785+1 8.626609-2 4.396734+1 1.023000-1 3.270046+1 1.164860-1 2.594403+1 1.487347-1 1.659778+1 1.988941-1 9.705603+0 2.408909-1 6.765938+0 3.054097-1 4.292438+0 4.299021-1 2.210622+0 6.578472-1 9.602993-1 1.070165+0 3.670718-1 2.039158+0 1.017784-1 6.158159+0 1.118657-2 1.859734+1 1.226905-3 5.616308+1 1.345314-4 1.696098+2 1.475112-5 5.122134+2 1.617429-6 1.584893+3 1.689379-7 5.011872+3 1.689379-8 1.584893+4 1.689379-9 5.011872+4 1.68938-10 1.000000+5 4.24353-11 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.385900-6 1.258900-6 3.781400-6 1.584900-6 5.993000-6 1.995300-6 9.498300-6 2.511900-6 1.505400-5 3.162300-6 2.385900-5 3.981100-6 3.781300-5 5.011900-6 5.992900-5 6.309600-6 9.498100-5 7.943300-6 1.505300-4 1.000000-5 2.385800-4 1.258900-5 3.781100-4 1.584900-5 5.989300-4 1.995300-5 9.485500-4 2.511900-5 1.502500-3 3.162300-5 2.380200-3 3.981100-5 3.771000-3 5.011900-5 5.975100-3 6.309600-5 9.467900-3 7.943300-5 1.497500-2 1.000000-4 2.367300-2 1.258900-4 3.742000-2 1.584900-4 5.897200-2 1.995300-4 9.273600-2 2.511900-4 1.451000-1 3.162300-4 2.253800-1 3.981100-4 3.453500-1 5.011900-4 5.192700-1 6.309600-4 7.615300-1 7.943300-4 1.081600+0 1.000000-3 1.484000+0 1.258900-3 1.973800+0 1.584900-3 2.574400+0 1.995300-3 3.326800+0 2.511900-3 4.261700+0 3.162300-3 5.398100+0 3.981100-3 6.744200+0 5.011900-3 8.298300+0 6.309600-3 1.001300+1 7.943300-3 1.186000+1 1.000000-2 1.385600+1 1.258900-2 1.598600+1 1.584900-2 1.826000+1 1.995300-2 2.047000+1 2.511900-2 2.243900+1 3.162300-2 2.417400+1 3.981100-2 2.553100+1 5.011900-2 2.651100+1 6.309600-2 2.708300+1 7.943300-2 2.720000+1 1.000000-1 2.689000+1 1.258900-1 2.615100+1 1.584900-1 2.513200+1 1.995300-1 2.385200+1 2.511900-1 2.239800+1 3.162300-1 2.083900+1 3.981100-1 1.922900+1 5.011900-1 1.761600+1 6.309600-1 1.602800+1 7.943300-1 1.448900+1 1.000000+0 1.301300+1 1.258900+0 1.161000+1 1.584900+0 1.029300+1 1.995300+0 9.065700+0 2.511900+0 7.933300+0 3.162300+0 6.899100+0 3.981100+0 5.964200+0 5.011900+0 5.127000+0 6.309600+0 4.384300+0 7.943300+0 3.731000+0 1.000000+1 3.161100+0 1.258900+1 2.667400+0 1.584900+1 2.242600+0 1.995300+1 1.879200+0 2.511900+1 1.569900+0 3.162300+1 1.308000+0 3.981100+1 1.087200+0 5.011900+1 9.015800-1 6.309600+1 7.461900-1 7.943300+1 6.164500-1 1.000000+2 5.084300-1 1.258900+2 4.187000-1 1.584900+2 3.443300-1 1.995300+2 2.828100-1 2.511900+2 2.320100-1 3.162300+2 1.901300-1 3.981100+2 1.556500-1 5.011900+2 1.273000-1 6.309600+2 1.040300-1 7.943300+2 8.494100-2 1.000000+3 6.930200-2 1.258900+3 5.650100-2 1.584900+3 4.603300-2 1.995300+3 3.748100-2 2.511900+3 3.049900-2 3.162300+3 2.480300-2 3.981100+3 2.016000-2 5.011900+3 1.637700-2 6.309600+3 1.329800-2 7.943300+3 1.079200-2 1.000000+4 8.754600-3 1.258900+4 7.098700-3 1.584900+4 5.753600-3 1.995300+4 4.661500-3 2.511900+4 3.775200-3 3.162300+4 3.056300-3 3.981100+4 2.473400-3 5.011900+4 2.001000-3 6.309600+4 1.618300-3 7.943300+4 1.308300-3 1.000000+5 1.057400-3 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159559-4 3.981072-4 3.976784-4 5.011872-4 5.005125-4 6.309573-4 6.298966-4 7.943282-4 7.926729-4 1.000000-3 9.974196-4 1.258925-3 1.254906-3 1.584893-3 1.578607-3 1.995262-3 1.985411-3 2.511886-3 2.496370-3 3.162278-3 3.137958-3 3.981072-3 3.942941-3 5.011872-3 4.952221-3 6.309573-3 6.216584-3 7.943282-3 7.798648-3 1.000000-2 9.775046-3 1.258925-2 1.223888-2 1.584893-2 1.530600-2 1.995262-2 1.911447-2 2.511886-2 2.383310-2 3.162278-2 2.966384-2 3.981072-2 3.683998-2 5.011872-2 4.563601-2 6.309573-2 5.637442-2 7.943282-2 6.944646-2 1.000000-1 8.526329-2 1.258925-1 1.044235-1 1.584893-1 1.273475-1 1.995262-1 1.548269-1 2.511886-1 1.876416-1 3.162278-1 2.266530-1 3.981072-1 2.729163-1 5.011872-1 3.275854-1 6.309573-1 3.920979-1 7.943282-1 4.680168-1 1.000000+0 5.574581-1 1.258925+0 6.628401-1 1.584893+0 7.871288-1 1.995262+0 9.342297-1 2.511886+0 1.108792+0 3.162278+0 1.316508+0 3.981072+0 1.564474+0 5.011872+0 1.861272+0 6.309573+0 2.217459+0 7.943282+0 2.646077+0 1.000000+1 3.162639+0 1.258925+1 3.786693+0 1.584893+1 4.541844+0 1.995262+1 5.457035+0 2.511886+1 6.567919+0 3.162278+1 7.917802+0 3.981072+1 9.560404+0 5.011872+1 1.156111+1 6.309573+1 1.400073+1 7.943282+1 1.697841+1 1.000000+2 2.061575+1 1.258925+2 2.506292+1 1.584893+2 3.050452+1 1.995262+2 3.716840+1 2.511886+2 4.533319+1 3.162278+2 5.534577+1 3.981072+2 6.763015+1 5.011872+2 8.271327+1 6.309573+2 1.012424+2 7.943282+2 1.240188+2 1.000000+3 1.520269+2 1.258925+3 1.864903+2 1.584893+3 2.289183+2 1.995262+3 2.811764+2 2.511886+3 3.455614+2 3.162278+3 4.249364+2 3.981072+3 5.228230+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88185-10 1.995262-5 1.090598-9 2.511886-5 1.728454-9 3.162278-5 2.739459-9 3.981072-5 4.341821-9 5.011872-5 6.881335-9 6.309573-5 1.090589-8 7.943282-5 1.727542-8 1.000000-4 2.737078-8 1.258925-4 4.336977-8 1.584893-4 6.867248-8 1.995262-4 1.087252-7 2.511886-4 1.720205-7 3.162278-4 2.718848-7 3.981072-4 4.288081-7 5.011872-4 6.747707-7 6.309573-4 1.060790-6 7.943282-4 1.655317-6 1.000000-3 2.580363-6 1.258925-3 4.019263-6 1.584893-3 6.286553-6 1.995262-3 9.851202-6 2.511886-3 1.551612-5 3.162278-3 2.431942-5 3.981072-3 3.813095-5 5.011872-3 5.965174-5 6.309573-3 9.298904-5 7.943282-3 1.446347-4 1.000000-2 2.249536-4 1.258925-2 3.503705-4 1.584893-2 5.429329-4 1.995262-2 8.381532-4 2.511886-2 1.285763-3 3.162278-2 1.958937-3 3.981072-2 2.970732-3 5.011872-2 4.482709-3 6.309573-2 6.721314-3 7.943282-2 9.986361-3 1.000000-1 1.473671-2 1.258925-1 2.146905-2 1.584893-1 3.114187-2 1.995262-1 4.469929-2 2.511886-1 6.354708-2 3.162278-1 8.957477-2 3.981072-1 1.251908-1 5.011872-1 1.736018-1 6.309573-1 2.388594-1 7.943282-1 3.263114-1 1.000000+0 4.425419-1 1.258925+0 5.960853-1 1.584893+0 7.977644-1 1.995262+0 1.061033+0 2.511886+0 1.403095+0 3.162278+0 1.845770+0 3.981072+0 2.416598+0 5.011872+0 3.150601+0 6.309573+0 4.092115+0 7.943282+0 5.297205+0 1.000000+1 6.837361+0 1.258925+1 8.802561+0 1.584893+1 1.130709+1 1.995262+1 1.449559+1 2.511886+1 1.855095+1 3.162278+1 2.370497+1 3.981072+1 3.025031+1 5.011872+1 3.855761+1 6.309573+1 4.909501+1 7.943282+1 6.245441+1 1.000000+2 7.938425+1 1.258925+2 1.008296+2 1.584893+2 1.279848+2 1.995262+2 1.623578+2 2.511886+2 2.058555+2 3.162278+2 2.608820+2 3.981072+2 3.304770+2 5.011872+2 4.184740+2 6.309573+2 5.297149+2 7.943282+2 6.703094+2 1.000000+3 8.479731+2 1.258925+3 1.072435+3 1.584893+3 1.355975+3 1.995262+3 1.714086+3 2.511886+3 2.166325+3 3.162278+3 2.737341+3 3.981072+3 3.458249+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.090000-6 3.348340+6 5.248075-6 2.929013+6 5.500000-6 2.367300+6 5.956621-6 1.636465+6 6.456542-6 1.116899+6 6.918310-6 7.987524+5 7.413102-6 5.669996+5 7.852356-6 4.235331+5 8.413951-6 2.962195+5 8.750000-6 2.408559+5 8.750000-6 5.799274+5 9.015711-6 5.359129+5 9.100000-6 5.232114+5 9.370000-6 4.884101+5 9.370000-6 7.252611+5 9.500000-6 7.076275+5 9.660509-6 6.885389+5 9.885531-6 6.652287+5 1.000000-5 6.550768+5 1.023293-5 6.369494+5 1.035142-5 6.292263+5 1.050000-5 6.207387+5 1.060000-5 6.154862+5 1.070000-5 6.110975+5 1.100000-5 6.004891+5 1.110000-5 5.980202+5 1.135011-5 5.935843+5 1.150000-5 5.922788+5 1.174898-5 5.916733+5 1.190000-5 5.925099+5 1.202264-5 5.937643+5 1.216186-5 5.954418+5 1.230269-5 5.979266+5 1.258925-5 6.045920+5 1.260000-5 6.049003+5 1.273503-5 6.089424+5 1.290000-5 6.145435+5 1.310000-5 6.216422+5 1.318257-5 6.249952+5 1.340000-5 6.347961+5 1.365000-5 6.463923+5 1.390000-5 6.602345+5 1.420000-5 6.772689+5 1.428894-5 6.827013+5 1.450000-5 6.965720+5 1.480000-5 7.166962+5 1.500000-5 7.309460+5 1.507000-5 7.362341+5 1.540000-5 7.615550+5 1.548817-5 7.684230+5 1.570000-5 7.856218+5 1.584893-5 7.978766+5 1.610000-5 8.196404+5 1.621810-5 8.300170+5 1.650000-5 8.557865+5 1.690000-5 8.931166+5 1.698244-5 9.011627+5 1.717908-5 9.205562+5 1.757924-5 9.616910+5 1.819701-5 1.027078+6 1.830000-5 1.038446+6 1.840772-5 1.050425+6 1.950000-5 1.178294+6 2.000000-5 1.239341+6 2.187762-5 1.484623+6 2.344229-5 1.706111+6 2.400000-5 1.786931+6 2.500000-5 1.934480+6 2.540973-5 1.996541+6 2.600160-5 2.085187+6 2.602000-5 2.087911+6 2.602000-5 1.758147+7 2.660725-5 1.627837+7 2.730000-5 1.493616+7 2.750000-5 1.458263+7 2.786121-5 1.400555+7 2.818383-5 1.352325+7 2.884032-5 1.263282+7 2.900000-5 1.244067+7 2.951209-5 1.185989+7 2.979000-5 1.156672+7 2.979000-5 1.878318+7 3.000000-5 1.837896+7 3.054921-5 1.738997+7 3.080000-5 1.697564+7 3.126079-5 1.625656+7 3.198895-5 1.522605+7 3.273407-5 1.430882+7 3.311311-5 1.388129+7 3.388442-5 1.308486+7 3.400000-5 1.297450+7 3.467369-5 1.237635+7 3.507519-5 1.204634+7 3.589219-5 1.143139+7 3.672823-5 1.087775+7 3.730000-5 1.053462+7 3.801894-5 1.014028+7 3.900000-5 9.666830+6 3.935501-5 9.509925+6 4.027170-5 9.137255+6 4.070000-5 8.978158+6 4.168694-5 8.648056+6 4.265795-5 8.357132+6 4.365158-5 8.102711+6 4.466836-5 7.878162+6 4.518559-5 7.771398+6 4.650000-5 7.532317+6 4.774000-5 7.349277+6 4.774000-5 7.402507+6 4.800000-5 7.368658+6 4.841724-5 7.312848+6 4.954502-5 7.178299+6 4.970000-5 7.161936+6 5.000000-5 7.131414+6 5.150000-5 6.998344+6 5.248075-5 6.917657+6 5.370318-5 6.835136+6 5.400000-5 6.817673+6 5.500000-5 6.764665+6 5.559043-5 6.731683+6 5.688529-5 6.671264+6 5.821032-5 6.620705+6 5.888437-5 6.591893+6 5.956621-5 6.566956+6 6.165950-5 6.503295+6 6.220000-5 6.485126+6 6.309573-5 6.457140+6 6.382635-5 6.436314+6 6.456542-5 6.417432+6 6.531306-5 6.400665+6 6.730000-5 6.342803+6 6.760830-5 6.334595+6 6.839116-5 6.315548+6 6.918310-5 6.297903+6 7.000000-5 6.273209+6 7.079458-5 6.250136+6 7.300000-5 6.193633+6 7.328245-5 6.186964+6 7.413102-5 6.160932+6 7.585776-5 6.112370+6 7.762471-5 6.065850+6 7.800000-5 6.056822+6 7.852356-5 6.042830+6 7.900000-5 6.028170+6 8.128305-5 5.960469+6 8.150000-5 5.954427+6 8.222426-5 5.934741+6 8.317638-5 5.909301+6 8.511380-5 5.855093+6 8.522000-5 5.851972+6 8.912509-5 5.741905+6 9.015711-5 5.714949+6 9.120108-5 5.685700+6 9.332543-5 5.622057+6 9.800000-5 5.492716+6 9.885531-5 5.468971+6 9.900000-5 5.464969+6 1.023293-4 5.366436+6 1.040000-4 5.319306+6 1.047129-4 5.299757+6 1.060000-4 5.262250+6 1.071519-4 5.226495+6 1.109175-4 5.114560+6 1.122018-4 5.078092+6 1.135011-4 5.039692+6 1.174898-4 4.916101+6 1.190000-4 4.871354+6 1.202264-4 4.833767+6 1.216186-4 4.791810+6 1.230269-4 4.747528+6 1.288250-4 4.574980+6 1.303167-4 4.530762+6 1.350000-4 4.389252+6 1.365200-4 4.345403+6 1.365200-4 4.914704+6 1.380384-4 4.971610+6 1.390000-4 5.015250+6 1.400000-4 5.063076+6 1.407000-4 5.096597+6 1.412538-4 5.121594+6 1.414000-4 5.128270+6 1.414000-4 5.516860+6 1.415000-4 5.524829+6 1.421000-4 5.569116+6 1.423000-4 5.585263+6 1.428894-4 5.629260+6 1.430000-4 5.637813+6 1.437000-4 5.687529+6 1.445000-4 5.740034+6 1.445440-4 5.742552+6 1.450000-4 5.769275+6 1.453000-4 5.786478+6 1.458000-4 5.810997+6 1.460000-4 5.820234+6 1.467000-4 5.847418+6 1.467200-4 5.848062+6 1.473000-4 5.864126+6 1.475000-4 5.868172+6 1.480000-4 5.875990+6 1.482000-4 5.879050+6 1.482300-4 5.879337+6 1.490000-4 5.879928+6 1.492000-4 5.878993+6 1.497000-4 5.873095+6 1.500000-4 5.867789+6 1.505000-4 5.855930+6 1.510000-4 5.840850+6 1.513561-4 5.828161+6 1.520000-4 5.800880+6 1.528000-4 5.759363+6 1.531087-4 5.741669+6 1.538000-4 5.699443+6 1.545000-4 5.653138+6 1.548817-4 5.626797+6 1.560000-4 5.545264+6 1.570000-4 5.467347+6 1.580000-4 5.388030+6 1.585000-4 5.347941+6 1.602000-4 5.210751+6 1.603245-4 5.200668+6 1.608400-4 5.158851+6 1.620000-4 5.065166+6 1.621810-4 5.050894+6 1.622200-4 5.047774+6 1.640590-4 4.901948+6 1.643000-4 4.883219+6 1.670000-4 4.680312+6 1.678804-4 4.617248+6 1.698244-4 4.483974+6 1.705000-4 4.439197+6 1.757924-4 4.117355+6 1.790000-4 3.946011+6 1.800000-4 3.896767+6 1.819701-4 3.803781+6 1.820000-4 3.802409+6 1.842000-4 3.705203+6 1.850000-4 3.671847+6 1.865000-4 3.611770+6 1.880000-4 3.554950+6 1.883649-4 3.541626+6 1.885000-4 3.536615+6 1.908000-4 3.455266+6 1.927525-4 3.391695+6 1.930000-4 3.383803+6 1.950000-4 3.323862+6 1.957000-4 3.303871+6 1.972423-4 3.261446+6 1.973000-4 3.259841+6 1.980000-4 3.241010+6 1.995262-4 3.201340+6 2.000000-4 3.189546+6 2.018366-4 3.144030+6 2.020000-4 3.140034+6 2.041738-4 3.090065+6 2.065380-4 3.039694+6 2.090000-4 2.991238+6 2.113489-4 2.948591+6 2.120000-4 2.936974+6 2.142000-4 2.899526+6 2.150000-4 2.886480+6 2.162719-4 2.866610+6 2.170000-4 2.854851+6 2.187762-4 2.827247+6 2.190000-4 2.823812+6 2.198000-4 2.811967+6 2.213095-4 2.790381+6 2.220000-4 2.780670+6 2.240000-4 2.753628+6 2.250000-4 2.740754+6 2.260000-4 2.727637+6 2.290868-4 2.689286+6 2.300000-4 2.678315+6 2.317395-4 2.658243+6 2.350000-4 2.622587+6 2.426610-4 2.543512+6 2.430000-4 2.540129+6 2.480000-4 2.493030+6 2.500600-4 2.474469+6 2.500600-4 2.792189+6 2.540973-4 2.755849+6 2.580000-4 2.721600+6 2.600160-4 2.704358+6 2.660725-4 2.653920+6 2.691535-4 2.629465+6 2.722701-4 2.605575+6 2.754229-4 2.581797+6 2.774300-4 2.566328+6 2.774300-4 2.656331+6 2.786121-4 2.647406+6 2.818383-4 2.623309+6 2.830000-4 2.614940+6 2.884032-4 2.576494+6 2.917427-4 2.553662+6 2.951209-4 2.529816+6 2.985383-4 2.506110+6 3.019952-4 2.482632+6 3.054921-4 2.458896+6 3.090295-4 2.435999+6 3.126079-4 2.413257+6 3.162278-4 2.389523+6 3.200000-4 2.365367+6 3.235937-4 2.342748+6 3.240000-4 2.340250+6 3.280000-4 2.315271+6 3.320000-4 2.291184+6 3.349654-4 2.273534+6 3.350000-4 2.273327+6 3.388442-4 2.249796+6 3.427700-4 2.226309+6 3.427700-4 2.338400+6 3.430000-4 2.337009+6 3.470000-4 2.312751+6 3.500000-4 2.294473+6 3.548134-4 2.266202+6 3.550000-4 2.265131+6 3.589219-4 2.242450+6 3.600000-4 2.236232+6 3.630781-4 2.218068+6 3.700000-4 2.177969+6 3.758374-4 2.145148+6 3.820000-4 2.110805+6 3.845918-4 2.096719+6 3.850000-4 2.094486+6 3.890451-4 2.072216+6 3.935501-4 2.047841+6 4.000000-4 2.013166+6 4.027170-4 1.998905+6 4.073803-4 1.974513+6 4.120975-4 1.950632+6 4.168694-4 1.926475+6 4.216965-4 1.902497+6 4.265795-4 1.878214+6 4.315191-4 1.854392+6 4.365158-4 1.830259+6 4.430000-4 1.799798+6 4.466836-4 1.782695+6 4.518559-4 1.759347+6 4.550000-4 1.745350+6 4.570882-4 1.735897+6 4.600000-4 1.722763+6 4.623810-4 1.712158+6 4.677351-4 1.688405+6 4.700000-4 1.678577+6 4.786301-4 1.641950+6 4.850000-4 1.615271+6 4.897788-4 1.595520+6 4.954502-4 1.572429+6 5.069907-4 1.527171+6 5.128614-4 1.504409+6 5.248075-4 1.459425+6 5.308844-4 1.437553+6 5.370318-4 1.415862+6 5.432503-4 1.393898+6 5.559043-4 1.350478+6 5.688529-4 1.308470+6 5.754399-4 1.287517+6 5.888437-4 1.245926+6 6.025596-4 1.205811+6 6.095369-4 1.185716+6 6.100000-4 1.184400+6 6.200000-4 1.156232+6 6.309573-4 1.126652+6 6.456542-4 1.088943+6 6.531306-4 1.070159+6 6.606934-4 1.051343+6 6.700000-4 1.028926+6 6.839116-4 9.968722+5 6.918310-4 9.794148+5 7.079458-4 9.442080+5 7.244360-4 9.103171+5 7.328245-4 8.937239+5 7.413102-4 8.774731+5 7.500000-4 8.608164+5 7.585776-4 8.448746+5 7.762471-4 8.134957+5 7.800000-4 8.070724+5 7.943282-4 7.833298+5 8.000000-4 7.741980+5 8.128305-4 7.534794+5 8.317638-4 7.245478+5 8.413951-4 7.105045+5 8.511380-4 6.967217+5 8.609938-4 6.832058+5 8.709636-4 6.695763+5 8.810489-4 6.561993+5 9.225714-4 6.051976+5 9.332543-4 5.930945+5 9.440609-4 5.808910+5 9.549926-4 5.689394+5 9.772372-4 5.457586+5 9.885531-4 5.344750+5 1.000000-3 5.234372+5 1.011579-3 5.125324+5 1.035142-3 4.911203+5 1.047129-3 4.807572+5 1.059254-3 4.706078+5 1.083927-3 4.508785+5 1.085800-3 4.494206+5 1.085800-3 1.519480+6 1.096478-3 1.496361+6 1.100000-3 1.488807+6 1.112900-3 1.461677+6 1.112900-3 1.922524+6 1.122018-3 1.910218+6 1.145000-3 1.881087+6 1.148154-3 1.877057+6 1.161449-3 1.860561+6 1.170000-3 1.850350+6 1.174898-3 1.842886+6 1.175000-3 1.842731+6 1.188502-3 1.828864+6 1.202000-3 1.815794+6 1.202264-3 1.815489+6 1.216186-3 1.799643+6 1.220000-3 1.795416+6 1.230269-3 1.775481+6 1.244515-3 1.746877+6 1.250000-3 1.735294+6 1.273503-3 1.682281+6 1.274000-3 1.681194+6 1.288250-3 1.646485+6 1.300000-3 1.618697+6 1.303167-3 1.611336+6 1.318257-3 1.571791+6 1.320000-3 1.566917+6 1.348963-3 1.489002+6 1.364583-3 1.449273+6 1.400000-3 1.364540+6 1.407700-3 1.347038+6 1.407700-3 1.549851+6 1.412538-3 1.538090+6 1.428894-3 1.499290+6 1.445440-3 1.461420+6 1.450000-3 1.451227+6 1.462177-3 1.424116+6 1.479108-3 1.387252+6 1.531087-3 1.283049+6 1.531900-3 1.281511+6 1.531900-3 1.358144+6 1.543000-3 1.336966+6 1.550000-3 1.323851+6 1.566751-3 1.293027+6 1.570000-3 1.287137+6 1.584893-3 1.260606+6 1.603245-3 1.228588+6 1.608000-3 1.220407+6 1.640590-3 1.166594+6 1.659587-3 1.136860+6 1.698244-3 1.079311+6 1.700000-3 1.076795+6 1.700100-3 1.076651+6 1.700100-3 1.124354+6 1.717908-3 1.098689+6 1.737801-3 1.071031+6 1.757924-3 1.043785+6 1.778279-3 1.017031+6 1.798871-3 9.908894+5 1.800000-3 9.894797+5 1.862087-3 9.160734+5 1.883649-3 8.924539+5 1.900000-3 8.751173+5 1.905461-3 8.694269+5 1.950000-3 8.245965+5 1.972423-3 8.031159+5 2.000000-3 7.778249+5 2.018366-3 7.615446+5 2.030000-3 7.514883+5 2.041738-3 7.415162+5 2.065380-3 7.220013+5 2.070000-3 7.182526+5 2.089296-3 7.028702+5 2.113489-3 6.842681+5 2.162719-3 6.485565+5 2.187762-3 6.314287+5 2.213095-3 6.147109+5 2.220000-3 6.102684+5 2.238721-3 5.983744+5 2.264644-3 5.824637+5 2.300000-3 5.616644+5 2.317395-3 5.517087+5 2.344229-3 5.368559+5 2.371374-3 5.224071+5 2.398833-3 5.082543+5 2.400000-3 5.076654+5 2.426610-3 4.944283+5 2.454709-3 4.809563+5 2.511886-3 4.551641+5 2.540973-3 4.427189+5 2.547010-3 4.401939+5 2.570396-3 4.306104+5 2.600160-3 4.187930+5 2.630268-3 4.072633+5 2.722701-3 3.745270+5 2.786121-3 3.542547+5 2.818383-3 3.445566+5 2.851018-3 3.351076+5 2.884032-3 3.259133+5 2.900000-3 3.215583+5 2.951209-3 3.081161+5 3.019952-3 2.912278+5 3.090295-3 2.751969+5 3.126079-3 2.675331+5 3.162278-3 2.600872+5 3.198895-3 2.528071+5 3.235937-3 2.457359+5 3.273407-3 2.388477+5 3.300000-3 2.340944+5 3.311311-3 2.321076+5 3.388442-3 2.191897+5 3.427678-3 2.130171+5 3.467369-3 2.070214+5 3.500000-3 2.022745+5 3.507519-3 2.011990+5 3.548134-3 1.955306+5 3.589219-3 1.900244+5 3.630781-3 1.846398+5 3.715352-3 1.743450+5 3.758374-3 1.694028+5 3.801894-3 1.646048+5 3.935501-3 1.509191+5 4.000000-3 1.448976+5 4.027170-3 1.424557+5 4.073803-3 1.383970+5 4.168694-3 1.306049+5 4.216965-3 1.268478+5 4.265795-3 1.232010+5 4.315191-3 1.196589+5 4.365158-3 1.162216+5 4.415704-3 1.128749+5 4.466836-3 1.096279+5 4.518559-3 1.064768+5 4.570882-3 1.034048+5 4.677351-3 9.753011+4 4.800000-3 9.131464+4 4.841724-3 8.931696+4 4.897788-3 8.673025+4 4.954502-3 8.421336+4 5.011872-3 8.176504+4 5.069907-3 7.939120+4 5.188000-3 7.485773+4 5.248075-3 7.267892+4 5.308844-3 7.056657+4 5.370318-3 6.850685+4 5.432503-3 6.650314+4 5.495409-3 6.455263+4 5.559043-3 6.266174+4 5.688529-3 5.904755+4 5.821032-3 5.565130+4 5.888437-3 5.402190+4 6.000000-3 5.147194+4 6.025596-3 5.090851+4 6.165950-3 4.795024+4 6.237348-3 4.653451+4 6.300000-3 4.534011+4 6.456542-3 4.253922+4 6.531306-3 4.128836+4 6.606934-3 4.007006+4 6.683439-3 3.888785+4 6.707900-3 3.852037+4 6.707900-3 1.078093+5 6.800000-3 1.044565+5 6.839116-3 1.030739+5 6.840000-3 1.030429+5 6.918310-3 1.001453+5 6.960000-3 9.864853+4 7.000000-3 9.717172+4 7.079458-3 9.432782+4 7.318200-3 8.644836+4 7.318200-3 1.184214+5 7.328245-3 1.179999+5 7.388000-3 1.154928+5 7.498942-3 1.112427+5 7.500000-3 1.112033+5 7.501810-3 1.111332+5 7.585776-3 1.079464+5 7.600000-3 1.074183+5 7.702300-3 1.036805+5 7.702300-3 1.198100+5 7.800000-3 1.159742+5 7.830000-3 1.148300+5 7.852356-3 1.140137+5 7.943282-3 1.107757+5 8.000000-3 1.088211+5 8.035261-3 1.076195+5 8.222426-3 1.015173+5 8.317638-3 9.860065+4 8.511380-3 9.302364+4 8.609938-3 9.033953+4 8.709636-3 8.769234+4 8.810489-3 8.512287+4 9.015711-3 8.021323+4 9.120108-3 7.786765+4 9.225714-3 7.559207+4 9.300000-3 7.405257+4 9.440609-3 7.123495+4 9.549926-3 6.913134+4 9.660509-3 6.709176+4 9.772372-3 6.511369+4 9.800000-3 6.463725+4 9.885531-3 6.319126+4 1.000000-2 6.132666+4 1.023293-2 5.773897+4 1.035142-2 5.602626+4 1.059254-2 5.273930+4 1.080000-2 5.012477+4 1.096478-2 4.816998+4 1.109175-2 4.673397+4 1.122018-2 4.534147+4 1.148154-2 4.266800+4 1.161449-2 4.139258+4 1.174898-2 4.015911+4 1.202264-2 3.780408+4 1.230269-2 3.558611+4 1.244515-2 3.451860+4 1.258925-2 3.348192+4 1.273503-2 3.247706+4 1.303167-2 3.055755+4 1.318257-2 2.963071+4 1.333521-2 2.873252+4 1.348963-2 2.786135+4 1.380384-2 2.619934+4 1.400000-2 2.523151+4 1.412538-2 2.463469+4 1.428894-2 2.388505+4 1.445440-2 2.315787+4 1.450000-2 2.296291+4 1.462177-2 2.245305+4 1.500000-2 2.096697+4 1.513561-2 2.046759+4 1.531087-2 1.984658+4 1.580000-2 1.824700+4 1.584893-2 1.809693+4 1.603245-2 1.754480+4 1.621810-2 1.700954+4 1.640590-2 1.648698+4 1.659587-2 1.598023+4 1.678804-2 1.548909+4 1.717908-2 1.455282+4 1.757924-2 1.367071+4 1.800000-2 1.282156+4 1.819701-2 1.244810+4 1.840772-2 1.206518+4 1.862087-2 1.169393+4 1.883649-2 1.133311+4 1.905461-2 1.098330+4 1.927525-2 1.064426+4 1.972423-2 9.996473+3 2.018366-2 9.389042+3 2.041738-2 9.099636+3 2.089296-2 8.544077+3 2.113489-2 8.279414+3 2.150000-2 7.898961+3 2.162719-2 7.772016+3 2.187762-2 7.529963+3 2.213095-2 7.295485+3 2.238721-2 7.068503+3 2.264644-2 6.848766+3 2.317395-2 6.428407+3 2.387700-2 5.921878+3 2.398833-2 5.846806+3 2.426610-2 5.665188+3 2.454709-2 5.488221+3 2.483133-2 5.316896+3 2.511886-2 5.150890+3 2.540973-2 4.989911+3 2.630268-2 4.535000+3 2.660725-2 4.393004+3 2.691535-2 4.255564+3 2.722701-2 4.122487+3 2.754229-2 3.993017+3 2.786121-2 3.867280+3 2.818383-2 3.745571+3 2.851018-2 3.627784+3 2.884032-2 3.513681+3 2.917427-2 3.403248+3 2.951209-2 3.296304+3 3.054921-2 2.995337+3 3.126079-2 2.809686+3 3.150000-2 2.750853+3 3.162278-2 2.721101+3 3.198895-2 2.634943+3 3.311311-2 2.392790+3 3.388442-2 2.243984+3 3.427678-2 2.172980+3 3.467369-2 2.104235+3 3.507519-2 2.037632+3 3.548134-2 1.973186+3 3.589219-2 1.910826+3 3.630781-2 1.850480+3 3.672823-2 1.792085+3 3.715352-2 1.735371+3 3.758374-2 1.680078+3 3.890451-2 1.524718+3 4.073803-2 1.339993+3 4.120975-2 1.297419+3 4.168694-2 1.256139+3 4.265795-2 1.177562+3 4.315191-2 1.140175+3 4.365158-2 1.104002+3 4.415704-2 1.068731+3 4.466836-2 1.034508+3 4.570882-2 9.693632+2 4.687600-2 9.027704+2 4.687600-2 5.054271+3 4.760000-2 4.868594+3 4.800000-2 4.763350+3 4.860000-2 4.622608+3 4.897788-2 4.525592+3 4.954502-2 4.385135+3 4.960000-2 4.371837+3 5.069907-2 4.135559+3 5.128614-2 4.016599+3 5.188000-2 3.900917+3 5.248075-2 3.783174+3 5.308844-2 3.668997+3 5.432503-2 3.450916+3 5.495409-2 3.346762+3 5.688529-2 3.052837+3 5.956621-2 2.705236+3 6.000000-2 2.654216+3 6.095369-2 2.546635+3 6.165950-2 2.470764+3 6.237348-2 2.397165+3 6.382635-2 2.253879+3 6.531306-2 2.119189+3 6.683439-2 1.992556+3 6.760830-2 1.932112+3 6.918310-2 1.816660+3 7.244360-2 1.602843+3 7.413102-2 1.505478+3 7.498942-2 1.459043+3 7.673615-2 1.370433+3 8.035261-2 1.209069+3 8.128305-2 1.171798+3 8.317638-2 1.100660+3 8.511380-2 1.033854+3 8.609938-2 1.001990+3 8.709636-2 9.710753+2 8.810489-2 9.406762+2 9.015711-2 8.827068+2 9.120108-2 8.550791+2 9.332543-2 8.023970+2 9.549926-2 7.529684+2 9.885531-2 6.844886+2 1.000000-1 6.630735+2 1.047129-1 5.839202+2 1.083927-1 5.307779+2 1.096478-1 5.141637+2 1.109175-1 4.979064+2 1.148154-1 4.521612+2 1.161449-1 4.378684+2 1.202264-1 3.976499+2 1.244515-1 3.611307+2 1.288250-1 3.279719+2 1.303167-1 3.176113+2 1.348963-1 2.884311+2 1.380384-1 2.704882+2 1.412538-1 2.536627+2 1.428894-1 2.456476+2 1.445440-1 2.378680+2 1.462177-1 2.303354+2 1.479108-1 2.230417+2 1.496236-1 2.159792+2 1.513561-1 2.091411+2 1.531088-1 2.025194+2 1.566751-1 1.899001+2 1.584893-1 1.838901+2 1.603245-1 1.780701+2 1.621810-1 1.724344+2 1.650000-1 1.643309+2 1.698244-1 1.516250+2 1.717908-1 1.468287+2 1.757924-1 1.376865+2 1.778279-1 1.333317+2 1.798871-1 1.291145+2 1.819701-1 1.250313+2 1.840772-1 1.210775+2 1.862087-1 1.172489+2 1.905461-1 1.099513+2 1.927525-1 1.064758+2 1.949845-1 1.031101+2 1.972423-1 9.985191+1 2.018366-1 9.364145+1 2.065380-1 8.781753+1 2.113489-1 8.235649+1 2.137962-1 7.975480+1 2.162719-1 7.723545+1 2.187762-1 7.482058+1 2.213095-1 7.248131+1 2.238721-1 7.021531+1 2.264644-1 6.802074+1 2.290868-1 6.589533+1 2.344229-1 6.184192+1 2.371374-1 5.991017+1 2.398833-1 5.803893+1 2.426610-1 5.622619+1 2.454709-1 5.447009+1 2.483133-1 5.277098+1 2.540973-1 4.953019+1 2.570396-1 4.798533+1 2.600160-1 4.648917+1 2.650000-1 4.412368+1 2.660725-1 4.364218+1 2.691535-1 4.229837+1 2.786121-1 3.851034+1 2.818383-1 3.732472+1 2.851018-1 3.617566+1 2.884032-1 3.506195+1 2.917427-1 3.398322+1 2.951209-1 3.293778+1 2.985383-1 3.192456+1 3.019952-1 3.094415+1 3.054921-1 3.000741+1 3.090295-1 2.909904+1 3.126079-1 2.821818+1 3.162278-1 2.736404+1 3.198895-1 2.653581+1 3.235937-1 2.573263+1 3.273407-1 2.495405+1 3.311311-1 2.419904+1 3.349654-1 2.346689+1 3.388442-1 2.275693+1 3.427678-1 2.206867+1 3.467369-1 2.140146+1 3.507519-1 2.076502+1 3.548134-1 2.014861+1 3.589219-1 1.955051+1 3.630781-1 1.897034+1 3.715352-1 1.786121+1 3.758374-1 1.733120+1 3.801894-1 1.681694+1 3.845918-1 1.631813+1 3.890451-1 1.583413+1 3.935501-1 1.536451+1 3.981072-1 1.491732+1 4.000000-1 1.473702+1 4.027170-1 1.448351+1 4.073803-1 1.406314+1 4.168694-1 1.325868+1 4.216965-1 1.287389+1 4.265795-1 1.250027+1 4.315191-1 1.213763+1 4.365158-1 1.178555+1 4.415705-1 1.144367+1 4.466836-1 1.111184+1 4.472100-1 1.107844+1 4.518559-1 1.079591+1 4.570882-1 1.048980+1 4.731513-1 9.624588+0 4.786301-1 9.352357+0 4.841724-1 9.087951+0 4.897788-1 8.831105+0 4.954502-1 8.581517+0 5.011872-1 8.338992+0 5.069907-1 8.108413+0 5.128614-1 7.884213+0 5.188000-1 7.666322+0 5.248075-1 7.454979+0 5.308844-1 7.249486+0 5.370318-1 7.049736+0 5.432503-1 6.855557+0 5.495409-1 6.666728+0 5.559043-1 6.483104+0 5.623413-1 6.304540+0 5.688529-1 6.134831+0 5.754399-1 5.969691+0 5.821032-1 5.809093+0 5.888437-1 5.653266+0 5.956621-1 5.501637+0 6.000000-1 5.408199+0 6.025596-1 5.354124+0 6.095369-1 5.210570+0 6.165950-1 5.070866+0 6.237348-1 4.934909+0 6.309573-1 4.805919+0 6.382635-1 4.680310+0 6.456542-1 4.558094+0 6.531306-1 4.439438+0 6.606935-1 4.323902+0 6.623700-1 4.298876+0 6.683439-1 4.211411+0 6.760830-1 4.101857+0 6.839117-1 3.995154+0 6.918310-1 3.893855+0 6.998420-1 3.795133+0 7.079458-1 3.698946+0 7.161434-1 3.605199+0 7.244360-1 3.513881+0 7.328245-1 3.425129+0 7.444800-1 3.307173+0 7.498942-1 3.254377+0 7.585776-1 3.172222+0 7.673615-1 3.092146+0 7.852356-1 2.941905+0 7.943282-1 2.869545+0 8.035261-1 2.798966+0 8.128305-1 2.730159+0 8.317638-1 2.597973+0 8.413951-1 2.534311+0 8.511380-1 2.472216+0 8.609938-1 2.411641+0 8.709636-1 2.353894+0 8.810489-1 2.297530+0 8.912509-1 2.242517+0 9.015711-1 2.188858+0 9.120108-1 2.136490+0 9.225714-1 2.085376+0 9.332543-1 2.035522+0 9.440609-1 1.987043+0 9.549926-1 1.939719+0 9.660509-1 1.893522+0 9.772372-1 1.850060+0 9.885531-1 1.807626+0 1.000000+0 1.766217+0 1.011579+0 1.725759+0 1.022000+0 1.690645+0 1.023293+0 1.686363+0 1.047129+0 1.610258+0 1.059254+0 1.573504+0 1.071519+0 1.537608+0 1.083927+0 1.503382+0 1.096478+0 1.469920+0 1.109175+0 1.437202+0 1.122018+0 1.405236+0 1.135011+0 1.373977+0 1.148154+0 1.343429+0 1.161449+0 1.313646+0 1.174898+0 1.284528+0 1.188502+0 1.256071+0 1.202264+0 1.228243+0 1.216186+0 1.201031+0 1.230269+0 1.175198+0 1.244515+0 1.149933+0 1.258925+0 1.125212+0 1.273503+0 1.101038+0 1.288250+0 1.077383+0 1.303167+0 1.054324+0 1.318257+0 1.031763+0 1.333521+0 1.009686+0 1.348963+0 9.880819-1 1.364583+0 9.669492-1 1.380384+0 9.468424-1 1.412538+0 9.078735-1 1.428894+0 8.890078-1 1.445440+0 8.705397-1 1.462177+0 8.525137-1 1.500000+0 8.138546-1 1.513561+0 8.006527-1 1.531087+0 7.840776-1 1.584893+0 7.376882-1 1.640590+0 6.940725-1 1.659587+0 6.801620-1 1.678804+0 6.665340-1 1.698244+0 6.531787-1 1.737801+0 6.272754-1 1.757924+0 6.150608-1 1.778279+0 6.030847-1 1.798871+0 5.913411-1 1.840772+0 5.685507-1 1.862087+0 5.574871-1 1.905461+0 5.360695-1 1.927525+0 5.256751-1 1.949845+0 5.154854-1 1.972423+0 5.054941-1 2.000000+0 4.940361-1 2.018366+0 4.866347-1 2.044000+0 4.765980-1 2.065380+0 4.684843-1 2.113489+0 4.510176-1 2.137962+0 4.425612-1 2.162719+0 4.342662-1 2.187762+0 4.261269-1 2.238721+0 4.103102-1 2.264644+0 4.028629-1 2.290868+0 3.955505-1 2.317395+0 3.883710-1 2.344229+0 3.813270-1 2.398833+0 3.676199-1 2.426610+0 3.609765-1 2.454709+0 3.544554-1 2.483133+0 3.480522-1 2.540973+0 3.355960-1 2.570396+0 3.297209-1 2.600160+0 3.239486-1 2.630268+0 3.182775-1 2.660725+0 3.127096-1 2.722701+0 3.018642-1 2.754229+0 2.966022-1 2.818383+0 2.863555-1 2.851018+0 2.813661-1 2.917427+0 2.716497-1 2.951209+0 2.670568-1 2.985383+0 2.625414-1 3.019952+0 2.581024-1 3.054921+0 2.537416-1 3.126079+0 2.452395-1 3.162278+0 2.410960-1 3.198895+0 2.370368-1 3.273407+0 2.291248-1 3.311311+0 2.252688-1 3.388442+0 2.177527-1 3.427678+0 2.141961-1 3.467369+0 2.106976-1 3.507519+0 2.072563-1 3.548134+0 2.038736-1 3.630781+0 1.972727-1 3.672823+0 1.940530-1 3.715352+0 1.908967-1 3.801894+0 1.847393-1 3.845918+0 1.817357-1 3.935501+0 1.758761-1 4.000000+0 1.719650-1 4.027170+0 1.703621-1 4.073803+0 1.676702-1 4.120975+0 1.650227-1 4.168694+0 1.624169-1 4.265795+0 1.573281-1 4.315191+0 1.548439-1 4.365158+0 1.524070-1 4.466836+0 1.476492-1 4.518559+0 1.453265-1 4.623810+0 1.407916-1 4.677351+0 1.386401-1 4.731513+0 1.365214-1 4.786301+0 1.344351-1 4.841724+0 1.323820-1 4.897788+0 1.303603-1 5.011872+0 1.264091-1 5.069907+0 1.244787-1 5.128614+0 1.225839-1 5.308844+0 1.170727-1 5.370318+0 1.152914-1 5.495409+0 1.118108-1 5.559043+0 1.101575-1 5.623413+0 1.085287-1 5.688529+0 1.069240-1 5.754399+0 1.053440-1 5.821032+0 1.037874-1 5.956621+0 1.007429-1 6.025596+0 9.925429-2 6.095369+0 9.779250-2 6.309573+0 9.353643-2 6.382635+0 9.215939-2 6.531306+0 8.946670-2 6.606934+0 8.818552-2 6.683439+0 8.692267-2 6.760830+0 8.567791-2 6.918310+0 8.324313-2 7.000000+0 8.202863-2 7.161434+0 7.972009-2 7.244360+0 7.857922-2 7.328245+0 7.745813-2 7.673615+0 7.313270-2 7.762471+0 7.208970-2 7.943282+0 7.004873-2 8.035261+0 6.907589-2 8.128305+0 6.811657-2 8.222427+0 6.717057-2 8.413951+0 6.531896-2 8.511380+0 6.441238-2 8.709636+0 6.263679-2 8.810489+0 6.176746-2 8.912509+0 6.091284-2 9.332543+0 5.761194-2 9.440609+0 5.681510-2 9.660509+0 5.525479-2 9.772372+0 5.450954-2 1.000000+1 5.304906-2 1.011579+1 5.233358-2 1.035142+1 5.093218-2 1.047129+1 5.024558-2 1.059254+1 4.956829-2 1.083927+1 4.824096-2 1.100000+1 4.741115-2 1.109175+1 4.695051-2 1.161449+1 4.447738-2 1.174898+1 4.387976-2 1.188502+1 4.329020-2 1.202264+1 4.270872-2 1.216186+1 4.213505-2 1.230269+1 4.158333-2 1.244515+1 4.103884-2 1.258925+1 4.050151-2 1.288250+1 3.944838-2 1.303167+1 3.893215-2 1.318257+1 3.842266-2 1.348963+1 3.742362-2 1.364583+1 3.693390-2 1.380384+1 3.645172-2 1.479108+1 3.368897-2 1.513561+1 3.281544-2 1.531087+1 3.238722-2 1.548817+1 3.196466-2 1.566751+1 3.154768-2 1.584893+1 3.114482-2 1.600000+1 3.081672-2 1.603245+1 3.074710-2 1.621810+1 3.035463-2 1.640590+1 2.996718-2 1.659587+1 2.958468-2 1.717908+1 2.846622-2 1.737801+1 2.810287-2 1.778279+1 2.739175-2 1.949845+1 2.472364-2 1.972423+1 2.440896-2 1.995262+1 2.409830-2 2.000000+1 2.403479-2 2.018366+1 2.379163-2 2.041738+1 2.349455-2 2.065380+1 2.320117-2 2.113489+1 2.262562-2 2.137962+1 2.234323-2 2.162719+1 2.206435-2 2.187762+1 2.178896-2 2.317395+1 2.046271-2 2.371374+1 1.995511-2 2.400000+1 1.969619-2 2.426610+1 1.946127-2 2.570396+1 1.827975-2 2.600160+1 1.805221-2 2.630268+1 1.782750-2 2.660725+1 1.760559-2 2.691535+1 1.739074-2 2.722701+1 1.717852-2 2.754229+1 1.696889-2 2.786121+1 1.676183-2 2.818383+1 1.655738-2 2.851018+1 1.635543-2 2.917427+1 1.595889-2 2.951209+1 1.576424-2 3.019952+1 1.538204-2 3.054921+1 1.519443-2 3.126079+1 1.482655-2 3.548134+1 1.295711-2 3.715352+1 1.233742-2 4.027170+1 1.132345-2 4.120975+1 1.104935-2 4.168694+1 1.091739-2 4.216965+1 1.078701-2 4.265795+1 1.065818-2 4.315191+1 1.053095-2 4.365158+1 1.040524-2 4.786301+1 9.454118-3 5.370318+1 8.386564-3 6.531306+1 6.841037-3 6.683439+1 6.679050-3 6.760830+1 6.600576-3 6.839116+1 6.523029-3 6.918310+1 6.446391-3 6.998420+1 6.370678-3 7.079458+1 6.295854-3 7.585776+1 5.865720-3 8.709636+1 5.091626-3 1.174898+2 3.746998-3 1.202264+2 3.659651-3 1.216186+2 3.616746-3 1.230269+2 3.574746-3 1.244515+2 3.533236-3 1.273503+2 3.451657-3 1.288250+2 3.411583-3 1.303167+2 3.371977-3 1.318257+2 3.332830-3 1.428894+2 3.071530-3 1.659587+2 2.639398-3 2.344229+2 1.860134-3 2.398833+2 1.817245-3 2.426610+2 1.796174-3 2.454709+2 1.775463-3 2.483133+2 1.754991-3 2.540973+2 1.714753-3 2.570396+2 1.694984-3 2.600160+2 1.675443-3 2.630268+2 1.656128-3 2.851018+2 1.527118-3 3.311311+2 1.313598-3 4.677351+2 9.279331-4 4.786301+2 9.066791-4 4.841724+2 8.962357-4 4.897788+2 8.859520-4 4.954502+2 8.757862-4 1.011579+3 4.282054-4 1.023293+3 4.232923-4 1.035142+3 4.184358-4 1.047129+3 4.136347-4 1.135011+3 3.815496-4 1.318257+3 3.284194-4 1.862087+3 2.323525-4 1.905461+3 2.270536-4 3.845918+3 1.123472-4 3.890451+3 1.110610-4 3.935501+3 1.097894-4 1.603245+4 2.694392-5 1.621810+4 2.663545-5 1.640590+4 2.633050-5 1.659587+4 2.602906-5 1.000000+5 4.318990-6 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.090000-6 5.090000-6 8.750000-6 5.090000-6 8.750000-6 7.229926-6 9.370000-6 7.496706-6 9.370000-6 8.108474-6 1.023293-5 8.367875-6 1.110000-5 8.560436-6 1.202264-5 8.698302-6 1.318257-5 8.798288-6 1.480000-5 8.861875-6 1.840772-5 8.903319-6 2.602000-5 8.939542-6 2.602000-5 2.399159-5 2.818383-5 2.297320-5 2.979000-5 2.210859-5 2.979000-5 2.505977-5 3.198895-5 2.405761-5 3.507519-5 2.246890-5 4.168694-5 1.886119-5 4.466836-5 1.736740-5 4.650000-5 1.653446-5 4.774000-5 1.600870-5 4.774000-5 1.623687-5 5.000000-5 1.540463-5 5.150000-5 1.491215-5 5.370318-5 1.428361-5 5.559043-5 1.381802-5 5.821032-5 1.327410-5 5.956621-5 1.303739-5 6.220000-5 1.263847-5 6.531306-5 1.226121-5 6.918310-5 1.190560-5 7.328245-5 1.162717-5 7.900000-5 1.135362-5 8.522000-5 1.115023-5 9.332543-5 1.097581-5 1.040000-4 1.083506-5 1.174898-4 1.074447-5 1.365200-4 1.070351-5 1.365200-4 1.292855-5 1.380384-4 1.328784-5 1.414000-4 1.415167-5 1.414000-4 1.536278-5 1.437000-4 1.604574-5 1.458000-4 1.655874-5 1.475000-4 1.685904-5 1.492000-4 1.705053-5 1.510000-4 1.713758-5 1.531087-4 1.711540-5 1.548817-4 1.701571-5 1.580000-4 1.672203-5 1.705000-4 1.519231-5 1.757924-4 1.460395-5 1.800000-4 1.421266-5 1.842000-4 1.388714-5 1.885000-4 1.363095-5 1.930000-4 1.344460-5 1.980000-4 1.332534-5 2.020000-4 1.329091-5 2.065380-4 1.330990-5 2.120000-4 1.339907-5 2.198000-4 1.363008-5 2.290868-4 1.401734-5 2.350000-4 1.430088-5 2.500600-4 1.511602-5 2.500600-4 1.895696-5 2.774300-4 2.049241-5 2.774300-4 2.165789-5 3.019952-4 2.294444-5 3.280000-4 2.415027-5 3.427700-4 2.476409-5 3.427700-4 2.696150-5 3.758374-4 2.819524-5 4.120975-4 2.931582-5 4.550000-4 3.042795-5 4.954502-4 3.130247-5 5.559043-4 3.236219-5 6.309573-4 3.341406-5 7.244360-4 3.444624-5 8.413951-4 3.545971-5 1.000000-3 3.653490-5 1.085800-3 3.702646-5 1.085800-3 5.852408-5 1.112900-3 5.863828-5 1.112900-3 6.156266-5 1.230269-3 6.260780-5 1.320000-3 6.285296-5 1.407700-3 6.279258-5 1.407700-3 6.788921-5 1.531900-3 6.824316-5 1.531900-3 7.056995-5 1.700100-3 7.132095-5 1.700100-3 7.387541-5 2.220000-3 7.648376-5 2.900000-3 7.924516-5 3.630781-3 8.164529-5 4.570882-3 8.413218-5 5.688529-3 8.649031-5 6.707900-3 8.824220-5 6.707900-3 1.205621-4 7.318200-3 1.210087-4 7.318200-3 1.281099-4 7.702300-3 1.282899-4 7.702300-3 1.345500-4 1.122018-2 1.373231-4 1.678804-2 1.402999-4 2.426610-2 1.430350-4 3.548134-2 1.457737-4 4.687600-2 1.476794-4 4.687600-2 1.439590-4 1.244515-1 1.446848-4 4.841724-1 1.451561-4 1.000000+5 1.452261-4 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.090000-6 0.0 1.414000-4 0.0 1.414000-4 1.053451-9 1.421000-4 1.107639-9 1.430000-4 1.190568-9 1.437000-4 1.259827-9 1.445440-4 1.349436-9 1.460000-4 1.510904-9 1.467200-4 1.590237-9 1.475000-4 1.671863-9 1.482300-4 1.742726-9 1.490000-4 1.812008-9 1.497000-4 1.867695-9 1.505000-4 1.922543-9 1.513561-4 1.969985-9 1.520000-4 1.998087-9 1.528000-4 2.024809-9 1.538000-4 2.045393-9 1.548817-4 2.053241-9 1.560000-4 2.048181-9 1.570000-4 2.034904-9 1.585000-4 2.001922-9 1.603245-4 1.947202-9 1.622200-4 1.881446-9 1.643000-4 1.802676-9 1.705000-4 1.554681-9 1.757924-4 1.349744-9 1.800000-4 1.206068-9 1.820000-4 1.142907-9 1.850000-4 1.058256-9 1.880000-4 9.84796-10 1.908000-4 9.27001-10 1.930000-4 8.88387-10 1.957000-4 8.48898-10 1.980000-4 8.21949-10 2.000000-4 8.03410-10 2.020000-4 7.89333-10 2.041738-4 7.78403-10 2.065380-4 7.71334-10 2.090000-4 7.68926-10 2.113489-4 7.70933-10 2.142000-4 7.78920-10 2.170000-4 7.91876-10 2.198000-4 8.09723-10 2.220000-4 8.26465-10 2.260000-4 8.62504-10 2.300000-4 9.04844-10 2.350000-4 9.64402-10 2.430000-4 1.072392-9 2.500600-4 1.175303-9 2.500600-4 2.209381-9 2.774300-4 2.631686-9 2.774300-4 3.205667-9 2.985383-4 3.533381-9 3.200000-4 3.838817-9 3.427700-4 4.131948-9 3.427700-4 4.727538-9 3.700000-4 5.041120-9 3.935501-4 5.278441-9 4.120975-4 5.447274-9 4.430000-4 5.705914-9 4.700000-4 5.902642-9 5.128614-4 6.173507-9 5.559043-4 6.402265-9 6.200000-4 6.691698-9 6.839116-4 6.928853-9 7.585776-4 7.161909-9 8.511380-4 7.405537-9 9.885531-4 7.701149-9 1.085800-3 7.877218-9 1.085800-3 9.170167-9 1.112900-3 9.187501-9 1.112900-3 9.634494-7 1.161449-3 1.066049-6 1.170000-3 1.083687-6 1.175000-3 1.091199-6 1.202264-3 1.152346-6 1.220000-3 1.186511-6 1.230269-3 1.209492-6 1.250000-3 1.247881-6 1.274000-3 1.281335-6 1.303167-3 1.308035-6 1.320000-3 1.313000-6 1.407700-3 1.308036-6 1.407700-3 1.381077-6 1.531900-3 1.381438-6 1.531900-3 1.538669-6 1.700100-3 1.559664-6 1.700100-3 1.635537-6 1.972423-3 1.675698-6 2.454709-3 1.735112-6 3.019952-3 1.793007-6 3.715352-3 1.852478-6 4.677351-3 1.918127-6 5.688529-3 1.973091-6 6.707900-3 2.019016-6 6.707900-3 5.810785-4 6.960000-3 5.835106-4 7.318200-3 5.833331-4 7.318200-3 7.442943-4 7.702300-3 7.454637-4 7.702300-3 7.863276-4 1.023293-2 7.947036-4 1.584893-2 8.031495-4 2.691535-2 8.101774-4 4.687600-2 8.154445-4 4.687600-2 3.230861-2 5.432503-2 3.254307-2 6.918310-2 3.283000-2 1.000000-1 3.309551-2 1.698244-1 3.330490-2 4.954502-1 3.345191-2 1.188502+0 3.356696-2 1.000000+5 3.356305-2 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.090000-6 0.0 8.750000-6 3.660000-6 8.750000-6 1.520074-6 9.370000-6 1.873294-6 9.370000-6 1.261526-6 9.660509-6 1.457422-6 1.000000-5 1.695657-6 1.035142-5 1.953192-6 1.070000-5 2.220163-6 1.110000-5 2.539564-6 1.150000-5 2.872423-6 1.202264-5 3.324338-6 1.273503-5 3.968084-6 1.365000-5 4.826785-6 1.507000-5 6.202010-6 1.950000-5 1.059031-5 2.602000-5 1.708046-5 2.602000-5 2.028412-6 2.660725-5 2.869908-6 2.750000-5 4.186285-6 2.818383-5 5.210626-6 2.951209-5 7.249548-6 2.979000-5 7.681415-6 2.979000-5 4.730231-6 3.080000-5 6.183042-6 3.198895-5 7.931340-6 3.400000-5 1.096009-5 3.730000-5 1.604621-5 4.168694-5 2.282575-5 4.518559-5 2.805848-5 4.774000-5 3.173130-5 4.774000-5 3.150313-5 5.000000-5 3.459537-5 5.248075-5 3.786047-5 5.559043-5 4.177241-5 5.956621-5 4.652882-5 6.531306-5 5.305185-5 7.413102-5 6.255124-5 9.015711-5 7.912287-5 1.303167-4 1.196079-4 1.365200-4 1.258165-4 1.365200-4 1.235915-4 1.414000-4 1.272483-4 1.414000-4 1.260362-4 1.473000-4 1.304681-4 1.528000-4 1.356714-4 1.643000-4 1.483426-4 1.842000-4 1.703118-4 2.020000-4 1.887083-4 2.317395-4 2.175968-4 2.500600-4 2.349428-4 2.500600-4 2.311008-4 2.774300-4 2.569350-4 2.774300-4 2.557689-4 3.427700-4 3.180018-4 3.427700-4 3.158038-4 4.897788-4 4.585830-4 8.810489-4 8.452828-4 1.085800-3 1.048766-3 1.085800-3 1.027267-3 1.112900-3 1.054252-3 1.112900-3 1.050374-3 1.407700-3 1.343599-3 1.407700-3 1.338430-3 1.531900-3 1.462275-3 1.531900-3 1.459791-3 1.700100-3 1.627219-3 1.700100-3 1.624589-3 6.707900-3 6.617639-3 6.707900-3 6.006259-3 7.318200-3 6.613858-3 7.318200-3 6.445796-3 7.702300-3 6.828546-3 7.702300-3 6.781422-3 4.687600-2 4.591288-2 4.687600-2 1.442343-2 4.897788-2 1.643579-2 5.495409-2 2.225369-2 6.918310-2 3.620880-2 1.148154-1 8.150216-2 7.328245+0 7.294534+0 1.000000+5 9.999997+4 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 4.687600-2 4.151501+3 4.760000-2 4.004000+3 4.800000-2 3.918900+3 4.860000-2 3.807220+3 4.960000-2 3.601920+3 5.188000-2 3.222656+3 5.688529-2 2.530375+3 6.237348-2 1.994722+3 6.918310-2 1.516858+3 8.709636-2 8.155116+2 1.096478-1 4.335833+2 1.428894-1 2.078237+2 2.162719-1 6.552642+1 2.650000-1 3.746720+1 3.019952-1 2.628948+1 3.467369-1 1.819201+1 3.935501-1 1.306621+1 4.472100-1 9.425618+0 5.011872-1 7.097973+0 5.623413-1 5.368976+0 6.237348-1 4.204539+0 6.839117-1 3.405341+0 7.673615-1 2.637258+0 8.609938-1 2.058178+0 9.660509-1 1.616785+0 1.071519+0 1.313199+0 1.216186+0 1.025775+0 1.364583+0 8.257959-1 1.531087+0 6.695415-1 1.737801+0 5.356453-1 1.972423+0 4.316652-1 2.238721+0 3.503841-1 2.540973+0 2.865871-1 2.917427+0 2.319762-1 3.388442+0 1.859516-1 3.935501+0 1.501916-1 4.623810+0 1.202318-1 5.495409+0 9.548228-2 6.531306+0 7.640146-2 7.943282+0 5.981920-2 9.660509+0 4.718556-2 1.216186+1 3.598199-2 1.566751+1 2.694108-2 2.018366+1 2.031723-2 2.660725+1 1.503510-2 4.120975+1 9.436132-3 6.683439+1 5.704037-3 1.216186+2 3.088773-3 2.426610+2 1.534022-3 4.841724+2 7.653507-4 3.845918+3 9.594033-5 1.000000+5 3.688700-6 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 4.687600-2 1.431500-4 1.000000+5 1.431500-4 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.687600-2 3.915700-2 1.000000+5 3.915700-2 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.687600-2 7.575850-3 1.000000+5 9.999996+4 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 7.702300-3 1.612953+4 7.830000-3 1.556730+4 8.035261-3 1.494941+4 8.511380-3 1.358786+4 9.225714-3 1.177718+4 1.000000-2 1.025446+4 1.080000-2 8.902060+3 1.161449-2 7.760037+3 1.230269-2 6.975571+3 1.584893-2 4.235884+3 1.800000-2 3.257520+3 2.041738-2 2.501754+3 2.426610-2 1.720674+3 2.722701-2 1.331927+3 3.150000-2 9.569080+2 3.715352-2 6.516801+2 4.365158-2 4.438538+2 5.128614-2 2.997601+2 6.095369-2 1.951345+2 7.244360-2 1.259527+2 8.609938-2 8.068689+1 1.047129-1 4.832747+1 1.303167-1 2.703238+1 2.454709-1 4.939810+0 2.985383-1 2.941587+0 3.507519-1 1.932079+0 4.027170-1 1.356691+0 4.570882-1 9.877865-1 5.188000-1 7.247311-1 5.821032-1 5.507999-1 6.456542-1 4.329766-1 7.244360-1 3.342885-1 8.128305-1 2.600116-1 9.332543-1 1.939776-1 1.011579+0 1.644737-1 1.148154+0 1.280470-1 1.288250+0 1.026804-1 1.445440+0 8.296819-2 1.640590+0 6.614238-2 1.862087+0 5.312930-2 2.113489+0 4.297390-2 2.398833+0 3.502777-2 2.722701+0 2.876030-2 3.162278+0 2.297033-2 3.672823+0 1.848929-2 4.315191+0 1.475286-2 5.069907+0 1.185917-2 6.025596+0 9.456747-3 7.244360+0 7.486543-3 8.810489+0 5.885101-3 1.100000+1 4.516900-3 1.364583+1 3.518924-3 1.737801+1 2.677747-3 2.371374+1 1.901231-3 3.054921+1 1.447838-3 4.365158+1 9.917709-4 7.079458+1 6.001312-4 1.318257+2 3.176968-4 2.630268+2 1.578753-4 1.047129+3 3.940722-5 1.659587+4 2.482146-6 1.000000+5 4.118400-7 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 7.702300-3 1.747900-4 1.000000+5 1.747900-4 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 7.702300-3 1.049000-3 1.000000+5 1.049000-3 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 7.702300-3 6.478510-3 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 7.318200-3 3.197300+4 7.388000-3 3.121660+4 7.500000-3 3.026800+4 7.600000-3 2.931800+4 8.000000-3 2.575800+4 9.300000-3 1.735500+4 1.035142-2 1.297500+4 1.202264-2 8.570600+3 1.400000-2 5.598200+3 1.717908-2 3.101600+3 1.927525-2 2.210800+3 2.264644-2 1.368800+3 2.754229-2 7.568500+2 3.388442-2 3.999500+2 4.120975-2 2.171500+2 5.069907-2 1.128900+2 6.531306-2 5.037000+1 1.244515-1 6.370575+0 1.566751-1 3.064425+0 1.905461-1 1.657141+0 2.238721-1 1.005890+0 2.600160-1 6.374488-1 2.985383-1 4.214627-1 3.388442-1 2.905432-1 3.801894-1 2.085950-1 4.265795-1 1.508635-1 4.786301-1 1.099342-1 5.370318-1 8.074214-2 5.956621-1 6.160361-2 6.623700-1 4.704989-2 7.328245-1 3.671795-2 8.128305-1 2.868425-2 9.332543-1 2.081459-2 9.885531-1 1.830749-2 1.059254+0 1.582124-2 1.135011+0 1.376392-2 1.230269+0 1.178237-2 1.348963+0 9.940570-3 1.659587+0 6.883456-3 1.905461+0 5.422871-3 2.137962+0 4.475446-3 2.426610+0 3.650836-3 2.754229+0 2.999747-3 3.198895+0 2.397496-3 3.715352+0 1.930942-3 4.365158+0 1.541618-3 5.128614+0 1.239897-3 6.095369+0 9.891955-4 7.328245+0 7.834314-4 8.912509+0 6.161177-4 1.109175+1 4.748645-4 1.380384+1 3.686965-4 1.778279+1 2.770476-4 2.400000+1 1.992200-4 3.126079+1 1.499721-4 4.365158+1 1.052894-4 7.079458+1 6.371029-5 1.318257+2 3.372622-5 2.630268+2 1.676051-5 1.047129+3 4.183540-6 1.659587+4 2.635031-7 1.000000+5 4.372100-8 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 7.318200-3 1.473100-4 1.000000+5 1.473100-4 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 7.318200-3 1.179500-3 1.000000+5 1.179500-3 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 7.318200-3 5.991390-3 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 6.707900-3 6.928890+4 6.840000-3 6.642840+4 6.960000-3 6.366720+4 7.328245-3 5.557444+4 8.609938-3 3.577844+4 9.440609-3 2.758254+4 1.122018-2 1.679072+4 1.303167-2 1.087571+4 1.621810-2 5.650174+3 1.862087-2 3.703228+3 2.113489-2 2.504182+3 2.540973-2 1.404101+3 3.054921-2 7.798290+2 3.672823-2 4.293750+2 4.415704-2 2.345975+2 5.432503-2 1.179158+2 6.918310-2 5.240628+1 1.348963-1 5.486576+0 1.650000-1 2.792141+0 1.949845-1 1.606426+0 2.264644-1 9.860806-1 2.570396-1 6.567253-1 2.884032-1 4.567703-1 3.235937-1 3.199561-1 3.589219-1 2.338610-1 3.981072-1 1.721278-1 4.415705-1 1.276443-1 4.841724-1 9.854112-2 5.308844-1 7.657302-2 5.821032-1 5.990555-2 6.382635-1 4.720484-2 6.998420-1 3.746314-2 7.673615-1 2.994069-2 8.609938-1 2.278606-2 9.225714-1 1.946293-2 9.885531-1 1.674365-2 1.071519+0 1.417792-2 1.174898+0 1.181365-2 1.288250+0 9.918312-3 1.428894+0 8.211854-3 1.698244+0 6.047960-3 1.927525+0 4.865323-3 2.187762+0 3.942995-3 2.483133+0 3.220590-3 2.851018+0 2.603456-3 3.311311+0 2.084416-3 3.845918+0 1.681661-3 4.518559+0 1.344790-3 5.370318+0 1.066847-3 6.382635+0 8.528113-4 7.762471+0 6.670930-4 9.440609+0 5.257602-4 1.188502+1 4.005989-4 1.531087+1 2.996946-4 2.000000+1 2.224700-4 2.660725+1 1.629731-4 4.120975+1 1.022853-4 6.683439+1 6.183052-5 1.202264+2 3.387674-5 2.398833+2 1.682283-5 4.786301+2 8.392780-6 1.905461+3 2.100825-6 1.000000+5 3.998500-8 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 6.707900-3 1.385300-4 1.000000+5 1.385300-4 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 6.707900-3 9.030000-4 1.000000+5 9.030000-4 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 6.707900-3 5.666370-3 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.700100-3 4.770229+4 1.798871-3 4.475876+4 2.030000-3 3.820280+4 2.162719-3 3.489708+4 2.511886-3 2.801778+4 2.900000-3 2.256380+4 3.162278-3 1.963128+4 3.801894-3 1.448470+4 4.265795-3 1.187421+4 4.954502-3 9.122684+3 6.000000-3 6.431400+3 6.918310-3 4.920224+3 7.943282-3 3.774229+3 9.440609-3 2.687968+3 1.122018-2 1.897906+3 1.333521-2 1.329118+3 1.580000-2 9.292020+2 1.840772-2 6.684936+2 2.150000-2 4.750580+2 2.511886-2 3.350625+2 2.951209-2 2.316558+2 3.467369-2 1.589562+2 4.073803-2 1.082803+2 4.800000-2 7.271280+1 5.688529-2 4.777475+1 6.760830-2 3.093448+1 8.128305-2 1.930304+1 9.885531-2 1.160107+1 1.244515-1 6.318250+0 1.584893-1 3.316118+0 2.344229-1 1.161758+0 2.884032-1 6.710540-1 3.427678-1 4.276207-1 3.981072-1 2.915119-1 4.518559-1 2.122722-1 5.128614-1 1.556828-1 5.754399-1 1.182571-1 6.382635-1 9.292670-2 7.161434-1 7.161377-2 8.035261-1 5.561306-2 8.912509-1 4.456197-2 9.772372-1 3.684338-2 1.109175+0 2.864021-2 1.258925+0 2.242128-2 1.412538+0 1.808591-2 1.584893+0 1.468996-2 1.798871+0 1.177611-2 2.044000+0 9.490125-3 2.317395+0 7.733381-3 2.630268+0 6.337437-3 3.019952+0 5.139258-3 3.507519+0 4.126869-3 4.073803+0 3.338660-3 4.786301+0 2.676925-3 5.688529+0 2.129161-3 6.760830+0 1.706075-3 8.222427+0 1.337640-3 1.011579+1 1.042042-3 1.258925+1 8.065370-4 1.603245+1 6.124827-4 2.065380+1 4.621210-4 2.786121+1 3.337200-4 4.265795+1 2.122991-4 6.918310+1 1.284119-4 1.273503+2 6.875719-5 2.540973+2 3.416042-5 1.011579+3 8.524453-6 1.603245+4 5.368762-7 1.000000+5 8.605400-8 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.700100-3 1.315300-4 1.000000+5 1.315300-4 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.700100-3 3.348000-6 1.000000+5 3.348000-6 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.700100-3 1.565222-3 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.531900-3 7.663302+4 1.550000-3 7.589849+4 1.608000-3 7.289084+4 1.700000-3 6.888400+4 1.800000-3 6.457840+4 1.900000-3 6.027940+4 2.070000-3 5.370040+4 2.264644-3 4.726397+4 2.426610-3 4.259615+4 2.630268-3 3.747110+4 2.818383-3 3.334212+4 3.235937-3 2.618045+4 3.500000-3 2.266380+4 4.000000-3 1.752458+4 4.365158-3 1.472704+4 4.897788-3 1.160455+4 5.432503-3 9.311366+3 6.165950-3 7.043934+3 6.839116-3 5.571658+3 7.800000-3 4.101140+3 8.709636-3 3.148717+3 9.800000-3 2.358040+3 1.122018-2 1.677891+3 1.273503-2 1.210958+3 1.450000-2 8.605220+2 1.659587-2 5.985695+2 1.905461-2 4.096367+2 2.187762-2 2.782240+2 2.511886-2 1.876327+2 2.917427-2 1.215504+2 3.427678-2 7.554666+1 4.073803-2 4.501203+1 4.897788-2 2.569285+1 6.000000-2 1.373692+1 7.673615-2 6.375392+0 1.445440-1 8.706279-1 1.798871-1 4.404028-1 2.065380-1 2.878995-1 2.570396-1 1.485584-1 2.951209-1 9.850534-2 3.349654-1 6.804328-2 3.801894-1 4.734937-2 4.265795-1 3.429808-2 4.786301-1 2.503272-2 5.308844-1 1.899139-2 5.888437-1 1.450982-2 6.531306-1 1.116182-2 7.244360-1 8.647553-3 8.413951-1 6.046373-3 9.015711-1 5.150858-3 9.660509-1 4.417346-3 1.023293+0 3.910892-3 1.109175+0 3.320243-3 1.216186+0 2.774222-3 1.333521+0 2.335906-3 1.513561+0 1.860961-3 1.737801+0 1.458842-3 1.972423+0 1.175048-3 2.238721+0 9.537389-4 2.540973+0 7.800393-4 2.917427+0 6.313460-4 3.388442+0 5.060774-4 3.935501+0 4.087536-4 4.623810+0 3.272098-4 5.495409+0 2.598522-4 6.531306+0 2.079241-4 7.943282+0 1.627983-4 9.660509+0 1.284180-4 1.202264+1 9.924046-5 1.548817+1 7.427407-5 2.018366+1 5.529386-5 2.691535+1 4.041017-5 4.168694+1 2.537120-5 6.760830+1 1.534027-5 1.230269+2 8.307860-6 2.454709+2 4.126507-6 4.897788+2 2.058918-6 3.890451+3 2.581094-7 1.000000+5 1.003900-8 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.531900-3 1.094800-4 1.000000+5 1.094800-4 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.531900-3 4.168000-6 1.000000+5 4.168000-6 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.531900-3 1.418252-3 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.407700-3 2.028122+5 1.479108-3 1.898171+5 1.566751-3 1.766321+5 1.659587-3 1.633969+5 1.778279-3 1.474815+5 2.000000-3 1.228460+5 2.220000-3 1.035128+5 2.400000-3 9.045880+4 2.570396-3 7.989361+4 3.019952-3 5.903908+4 3.273407-3 5.038939+4 3.801894-3 3.710401+4 4.168694-3 3.052928+4 4.800000-3 2.241896+4 5.308844-3 1.785010+4 6.025596-3 1.330474+4 6.800000-3 9.962560+3 7.585776-3 7.621565+3 8.609938-3 5.544729+3 9.772372-3 4.000933+3 1.096478-2 2.954447+3 1.244515-2 2.101750+3 1.428894-2 1.437477+3 1.640590-2 9.749226+2 1.883649-2 6.558274+2 2.162719-2 4.377077+2 2.483133-2 2.899358+2 2.851018-2 1.907161+2 3.311311-2 1.202357+2 3.890451-2 7.256472+1 4.570882-2 4.346177+1 5.495409-2 2.399249+1 6.683439-2 1.265952+1 8.511380-2 5.697052+0 1.479108-1 9.070840-1 1.798871-1 4.762468-1 2.137962-1 2.716783-1 2.454709-1 1.745427-1 2.786121-1 1.171594-1 3.126079-1 8.210461-2 3.507519-1 5.796554-2 3.890451-1 4.266122-2 4.315191-1 3.161203-2 4.786301-1 2.360392-2 5.248075-1 1.833853-2 5.754399-1 1.434860-2 6.309573-1 1.130505-2 6.918310-1 8.969136-3 7.585776-1 7.164670-3 8.609938-1 5.303652-3 9.225714-1 4.529214-3 9.885531-1 3.895765-3 1.071519+0 3.298525-3 1.174898+0 2.748365-3 1.288250+0 2.307457-3 1.428894+0 1.910583-3 1.698244+0 1.407400-3 1.949845+0 1.110327-3 2.187762+0 9.172292-4 2.483133+0 7.491434-4 2.818383+0 6.163208-4 3.273407+0 4.932006-4 3.801894+0 3.976841-4 4.466836+0 3.178423-4 5.308844+0 2.520127-4 6.309573+0 2.013544-4 7.673615+0 1.574341-4 9.332543+0 1.240240-4 1.161449+1 9.573962-5 1.479108+1 7.250629-5 1.949845+1 5.322952-5 2.570396+1 3.936232-5 3.548134+1 2.788442-5 4.786301+1 2.034776-5 7.585776+1 1.262636-5 1.428894+2 6.611948-6 2.851018+2 3.287864-6 1.135011+3 8.210958-7 1.000000+5 9.303000-9 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.407700-3 1.017400-4 1.000000+5 1.017400-4 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.407700-3 1.866200-6 1.000000+5 1.866200-6 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.407700-3 1.304094-3 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.112900-3 4.608469+5 1.145000-3 4.834403+5 1.170000-3 4.994213+5 1.175000-3 5.008412+5 1.202000-3 5.211751+5 1.220000-3 5.309599+5 1.230269-3 5.353136+5 1.244515-3 5.392966+5 1.250000-3 5.399291+5 1.274000-3 5.372228+5 1.303167-3 5.257047+5 1.318257-3 5.148027+5 1.462177-3 4.010402+5 1.603245-3 3.185907+5 1.757924-3 2.511449+5 1.950000-3 1.903924+5 2.187762-3 1.385761+5 2.371374-3 1.105277+5 2.600160-3 8.461191+4 2.951209-3 5.827030+4 3.300000-3 4.154440+4 3.715352-3 2.884942+4 4.168694-3 2.007422+4 4.677351-3 1.388907+4 5.370318-3 8.840193+3 6.000000-3 6.108960+3 6.800000-3 3.998288+3 7.852356-3 2.433268+3 9.015711-3 1.497383+3 1.023293-2 9.526667+2 1.161449-2 6.021553+2 1.318257-2 3.781632+2 1.500000-2 2.337812+2 1.717908-2 1.401218+2 1.972423-2 8.263250+1 2.317395-2 4.427905+1 2.754229-2 2.250393+1 3.311311-2 1.084437+1 4.073803-2 4.732137+0 5.308844-2 1.625479+0 8.709636-2 2.190948-1 1.083927-1 9.095941-2 1.288250-1 4.575435-2 1.513561-1 2.426074-2 1.757924-1 1.356161-2 2.018366-1 7.988069-3 2.290868-1 4.952275-3 2.570396-1 3.228346-3 2.884032-1 2.119598-3 3.235937-1 1.402265-3 3.589219-1 9.739262-4 3.981072-1 6.816736-4 4.365158-1 5.001458-4 4.786301-1 3.693661-4 5.308844-1 2.645684-4 5.821032-1 1.981044-4 6.165950-1 1.661405-4 6.683439-1 1.307581-4 7.328245-1 1.001625-4 8.035261-1 7.714570-5 8.609938-1 6.303884-5 9.120108-1 5.364497-5 9.549926-1 4.745470-5 1.000000+0 4.228457-5 1.047129+0 3.798805-5 1.096478+0 3.437306-5 1.148154+0 3.129441-5 1.216186+0 2.803112-5 1.303167+0 2.474346-5 1.428894+0 2.113102-5 1.513561+0 1.918428-5 1.862087+0 1.335820-5 2.065380+0 1.121363-5 2.344229+0 9.126819-6 2.660725+0 7.484436-6 3.054921+0 6.073502-6 3.548134+0 4.880054-6 4.168694+0 3.887412-6 4.897788+0 3.120119-6 5.821032+0 2.484181-6 7.000000+0 1.963300-6 8.511380+0 1.541669-6 1.059254+1 1.186312-6 1.318257+1 9.196220-7 1.659587+1 7.083165-7 2.162719+1 5.281714-7 2.917427+1 3.819599-7 4.315191+1 2.521744-7 6.998420+1 1.525650-7 1.288250+2 8.169827-8 2.570396+2 4.059459-8 1.023293+3 1.013046-8 1.621810+4 6.38065-10 1.000000+5 1.03460-10 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.112900-3 7.083800-5 1.000000+5 7.083800-5 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.112900-3 3.990100-6 1.000000+5 3.990100-6 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.112900-3 1.038072-3 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.085800-3 1.070059+6 1.220000-3 9.049952+5 1.450000-3 5.924772+5 1.584893-3 4.728174+5 1.737801-3 3.714473+5 1.905461-3 2.897052+5 2.065380-3 2.318160+5 2.300000-3 1.712514+5 2.511886-3 1.324762+5 2.884032-3 8.793922+4 3.162278-3 6.643510+4 3.589219-3 4.489433+4 4.073803-3 3.005504+4 4.518559-3 2.152052+4 5.188000-3 1.366135+4 5.821032-3 9.282395+3 6.531306-3 6.268075+3 7.500000-3 3.877410+3 8.609938-3 2.379378+3 9.800000-3 1.493412+3 1.109175-2 9.501135+2 1.244515-2 6.203938+2 1.412538-2 3.857140+2 1.603245-2 2.382555+2 1.819701-2 1.462449+2 2.089296-2 8.530248+1 2.454709-2 4.510569+1 2.884032-2 2.366804+1 3.467369-2 1.123308+1 4.265795-2 4.813832+0 5.432503-2 1.776459+0 9.015711-2 2.183416-1 1.096478-1 9.772388-2 1.288250-1 5.075297-2 1.496236-1 2.782742-2 1.698244-1 1.684721-2 1.927525-1 1.027612-2 2.018366-1 8.610697-3 2.344229-1 4.896173-3 2.600160-1 3.332818-3 2.884032-1 2.285491-3 3.198895-1 1.578175-3 3.507519-1 1.143736-3 3.801894-1 8.688679-4 4.073803-1 6.906871-4 4.415705-1 5.327299-4 4.786301-1 4.135876-4 5.248075-1 3.118498-4 5.754399-1 2.368368-4 6.382635-1 1.751409-4 6.918310-1 1.394633-4 7.444800-1 1.141728-4 8.035261-1 9.350376-5 8.609938-1 7.842045-5 9.120108-1 6.809212-5 9.660509-1 5.950517-5 1.022000+0 5.255319-5 1.083927+0 4.646921-5 1.161449+0 4.049365-5 1.258925+0 3.474963-5 1.380384+0 2.938961-5 1.757924+0 1.920324-5 2.000000+0 1.541177-5 2.264644+0 1.256794-5 2.570396+0 1.028568-5 2.951209+0 8.330185-6 3.427678+0 6.681303-6 4.000000+0 5.363700-6 4.677351+0 4.324593-6 5.559043+0 3.436113-6 6.606934+0 2.750810-6 8.035261+0 2.154720-6 9.772372+0 1.700374-6 1.230269+1 1.297160-6 1.584893+1 9.716230-7 2.041738+1 7.329274-7 2.722701+1 5.357735-7 4.216965+1 3.365053-7 6.839116+1 2.034965-7 1.244515+2 1.102292-7 2.483133+2 5.475543-8 4.954502+2 2.732096-8 3.935501+3 3.425211-9 1.000000+5 1.34760-10 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.085800-3 6.755300-5 1.000000+5 6.755300-5 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.085800-3 9.713200-9 1.000000+5 9.713200-9 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.085800-3 1.018237-3 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 3.427700-4 1.120904+5 3.820000-4 1.050950+5 4.570882-4 9.084832+4 4.897788-4 8.546015+4 5.248075-4 7.963264+4 6.095369-4 6.770749+4 6.606934-4 6.161557+4 7.500000-4 5.253080+4 8.317638-4 4.588214+4 9.225714-4 3.976347+4 1.059254-3 3.262073+4 1.202264-3 2.698451+4 1.364583-3 2.219454+4 1.603245-3 1.714912+4 1.862087-3 1.339421+4 2.162719-3 1.039380+4 2.540973-3 7.855794+3 3.019952-3 5.779255+3 3.630781-3 4.134838+3 4.415704-3 2.875081+3 5.370318-3 1.984103+3 6.531306-3 1.359019+3 7.852356-3 9.447553+2 9.440609-3 6.517538+2 1.122018-2 4.568606+2 1.348963-2 3.103319+2 1.603245-2 2.143871+2 1.905461-2 1.470303+2 2.264644-2 1.000683+2 2.691535-2 6.757455+1 3.162278-2 4.650631+1 3.758374-2 3.091936+1 4.466836-2 2.039505+1 5.248075-2 1.373266+1 6.237348-2 8.920826+0 7.498942-2 5.587882+0 8.810489-2 3.686422+0 1.096478-1 2.079020+0 1.445440-1 9.994254-1 2.371374-1 2.654978-1 2.917427-1 1.534393-1 3.467369-1 9.784087-2 4.000000-1 6.790483-2 4.570882-1 4.863997-2 5.188000-1 3.570366-2 5.821032-1 2.714761-2 6.531306-1 2.079396-2 7.328245-1 1.604902-2 8.317638-1 1.217415-2 9.225714-1 9.779694-3 1.011579+0 8.107347-3 1.161449+0 6.174924-3 1.303167+0 4.955031-3 1.462177+0 4.005011-3 1.640590+0 3.259993-3 1.862087+0 2.618723-3 2.113489+0 2.118037-3 2.398833+0 1.726332-3 2.722701+0 1.417471-3 3.162278+0 1.132159-3 3.672823+0 9.113234-4 4.315191+0 7.271696-4 5.069907+0 5.845345-4 6.025596+0 4.661043-4 7.244360+0 3.689957-4 8.810489+0 2.900679-4 1.100000+1 2.226300-4 1.380384+1 1.711733-4 1.778279+1 1.286296-4 2.426610+1 9.139522-5 3.126079+1 6.963088-5 4.365158+1 4.888362-5 7.079458+1 2.957927-5 1.318257+2 1.565869-5 2.630268+2 7.781479-6 1.047129+3 1.942340-6 1.659587+4 1.223440-7 1.000000+5 2.029900-8 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 3.427700-4 7.060600-5 1.000000+5 7.060600-5 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.427700-4 1.655700-8 1.000000+5 1.655700-8 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.427700-4 2.721474-4 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 2.774300-4 9.000327+4 3.126079-4 8.822332+4 3.890451-4 8.462696+4 4.265795-4 8.246154+4 4.600000-4 8.022100+4 4.954502-4 7.751366+4 5.308844-4 7.453820+4 5.688529-4 7.116591+4 6.200000-4 6.668620+4 6.700000-4 6.246260+4 7.244360-4 5.803710+4 8.000000-4 5.242840+4 8.709636-4 4.771950+4 9.549926-4 4.276531+4 1.059254-3 3.752460+4 1.161449-3 3.316533+4 1.300000-3 2.828980+4 1.445440-3 2.416552+4 1.603245-3 2.058051+4 1.798871-3 1.708247+4 2.018366-3 1.407379+4 2.264644-3 1.151061+4 2.540973-3 9.348260+3 2.884032-3 7.378836+3 3.273407-3 5.778526+3 3.758374-3 4.387311+3 4.315191-3 3.301468+3 4.897788-3 2.524161+3 5.559043-3 1.915663+3 6.300000-3 1.447822+3 7.079458-3 1.107904+3 8.000000-3 8.312480+2 9.120108-3 6.061776+2 1.035142-2 4.433637+2 1.174898-2 3.219762+2 1.333521-2 2.322099+2 1.531087-2 1.613348+2 1.757924-2 1.112339+2 2.018366-2 7.612150+1 2.317395-2 5.171405+1 2.691535-2 3.375859+1 3.126079-2 2.187084+1 3.672823-2 1.359449+1 4.365158-2 8.103071+0 5.188000-2 4.794588+0 6.382635-2 2.532469+0 8.317638-2 1.110585+0 1.462177-1 1.897943-1 1.819701-1 9.629187-2 2.187762-1 5.476146-2 2.540973-1 3.484682-2 2.917427-1 2.311318-2 3.311311-1 1.596867-2 3.758374-1 1.111273-2 4.216965-1 8.049853-3 4.731513-1 5.874190-3 5.308844-1 4.319100-3 5.888437-1 3.297634-3 6.531306-1 2.536527-3 7.244360-1 1.965672-3 8.413951-1 1.374632-3 9.015711-1 1.170862-3 9.660509-1 1.003993-3 1.023293+0 8.888287-4 1.109175+0 7.545607-4 1.216186+0 6.304698-4 1.333521+0 5.308951-4 1.513561+0 4.229988-4 1.737801+0 3.316094-4 1.972423+0 2.670948-4 2.238721+0 2.167798-4 2.540973+0 1.772986-4 2.917427+0 1.435060-4 3.388442+0 1.150353-4 3.935501+0 9.291492-5 4.623810+0 7.437961-5 5.495409+0 5.906834-5 6.531306+0 4.726400-5 7.943282+0 3.700542-5 9.660509+0 2.918999-5 1.216186+1 2.225918-5 1.566751+1 1.666610-5 2.018366+1 1.256866-5 2.691535+1 9.185788-6 4.168694+1 5.767305-6 6.760830+1 3.486976-6 1.230269+2 1.888491-6 2.454709+2 9.379962-7 4.897788+2 4.680099-7 3.890451+3 5.867020-8 1.000000+5 2.281900-9 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 2.774300-4 5.489000-5 1.000000+5 5.489000-5 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.774300-4 1.957200-8 1.000000+5 1.957200-8 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.774300-4 2.225204-4 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 2.500600-4 3.177200+5 2.951209-4 2.968703+5 3.280000-4 2.830132+5 3.630781-4 2.683543+5 4.000000-4 2.528096+5 4.365158-4 2.376139+5 4.700000-4 2.239896+5 5.069907-4 2.093446+5 5.559043-4 1.914328+5 6.025596-4 1.759719+5 6.531306-4 1.607051+5 7.244360-4 1.419257+5 7.943282-4 1.262344+5 8.810489-4 1.098035+5 9.772372-4 9.484575+4 1.096478-3 7.993838+4 1.216186-3 6.806822+4 1.364583-3 5.652156+4 1.531087-3 4.658170+4 1.717908-3 3.811755+4 1.950000-3 3.032792+4 2.220000-3 2.379932+4 2.511886-3 1.874744+4 2.818383-3 1.491176+4 3.162278-3 1.178847+4 3.548134-3 9.263482+3 4.027170-3 7.056295+3 4.570882-3 5.336248+3 5.188000-3 4.006074+3 5.821032-3 3.067164+3 6.606934-3 2.270532+3 7.501810-3 1.666504+3 8.511380-3 1.216077+3 9.660509-3 8.798225+2 1.096478-2 6.318170+2 1.244515-2 4.504900+2 1.412538-2 3.189601+2 1.603245-2 2.242900+2 1.840772-2 1.515890+2 2.113489-2 1.016583+2 2.426610-2 6.765941+1 2.786121-2 4.470777+1 3.198895-2 2.933697+1 3.715352-2 1.845005+1 4.365158-2 1.110919+1 5.188000-2 6.399260+0 6.237348-2 3.525150+0 7.673615-2 1.788168+0 1.047129-1 6.394987-1 1.531088-1 1.815059-1 1.862087-1 9.552534-2 2.213095-1 5.463358-2 2.540973-1 3.519332-2 2.884032-1 2.368608-2 3.235937-1 1.664034-2 3.630781-1 1.177847-2 4.027170-1 8.692318-3 4.466836-1 6.463594-3 4.954502-1 4.843910-3 5.432503-1 3.774359-3 6.000000-1 2.905453-3 6.606935-1 2.272374-3 7.244360-1 1.809425-3 8.128305-1 1.373201-3 8.810489-1 1.136748-3 9.440609-1 9.731918-4 1.000000+0 8.599433-4 1.083927+0 7.289834-4 1.188502+0 6.079991-4 1.288250+0 5.219408-4 1.428894+0 4.321321-4 1.698244+0 3.182678-4 1.927525+0 2.560338-4 2.187762+0 2.074876-4 2.483133+0 1.694715-4 2.851018+0 1.369995-4 3.311311+0 1.096885-4 3.845918+0 8.849492-5 4.518559+0 7.076581-5 5.370318+0 5.613966-5 6.382635+0 4.487733-5 7.762471+0 3.510482-5 9.440609+0 2.766728-5 1.188502+1 2.108061-5 1.531087+1 1.577078-5 2.000000+1 1.170700-5 2.600160+1 8.792915-6 3.715352+1 6.005627-6 5.370318+1 4.081747-6 8.709636+1 2.478057-6 1.659587+2 1.284925-6 3.311311+2 6.396616-7 1.318257+3 1.598456-7 1.000000+5 2.104100-9 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 2.500600-4 4.887100-5 1.000000+5 4.887100-5 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.500600-4 1.026300-8 1.000000+5 1.026300-8 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.500600-4 2.011787-4 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.414000-4 3.885892+5 1.421000-4 4.124480+5 1.450000-4 5.404320+5 1.458000-4 5.788840+5 1.467200-4 6.218109+5 1.475000-4 6.559760+5 1.482000-4 6.840360+5 1.490000-4 7.123880+5 1.497000-4 7.334280+5 1.505000-4 7.527600+5 1.513561-4 7.676777+5 1.520000-4 7.749840+5 1.528000-4 7.797280+5 1.538000-4 7.794600+5 1.548817-4 7.724771+5 1.560000-4 7.594080+5 1.570000-4 7.438840+5 1.585000-4 7.158440+5 1.602000-4 6.799817+5 1.622200-4 6.350037+5 1.643000-4 5.885840+5 1.670000-4 5.305640+5 1.705000-4 4.614560+5 1.820000-4 2.905724+5 1.850000-4 2.598124+5 1.880000-4 2.340800+5 1.908000-4 2.141640+5 1.930000-4 2.009980+5 1.957000-4 1.875268+5 1.980000-4 1.781188+5 2.000000-4 1.713368+5 2.020000-4 1.657216+5 2.041738-4 1.608262+5 2.065380-4 1.567679+5 2.090000-4 1.537872+5 2.113489-4 1.519903+5 2.142000-4 1.510096+5 2.170000-4 1.511560+5 2.198000-4 1.522408+5 2.220000-4 1.536592+5 2.260000-4 1.573012+5 2.300000-4 1.620392+5 2.350000-4 1.691112+5 2.430000-4 1.821352+5 2.600160-4 2.125998+5 2.691535-4 2.288241+5 2.786121-4 2.446393+5 2.884032-4 2.594997+5 2.985383-4 2.730697+5 3.090295-4 2.851643+5 3.200000-4 2.957984+5 3.320000-4 3.052308+5 3.430000-4 3.119832+5 3.550000-4 3.174272+5 3.700000-4 3.217124+5 3.850000-4 3.236392+5 4.027170-4 3.234896+5 4.216965-4 3.209999+5 4.430000-4 3.159068+5 4.623810-4 3.096972+5 4.850000-4 3.010460+5 5.128614-4 2.892005+5 5.432503-4 2.754527+5 5.754399-4 2.604161+5 6.100000-4 2.443628+5 6.531306-4 2.251494+5 6.918310-4 2.088276+5 7.413102-4 1.894551+5 8.000000-4 1.688792+5 8.609938-4 1.499712+5 9.332543-4 1.306538+5 1.000000-3 1.153644+5 1.083927-3 9.908415+4 1.174898-3 8.451728+4 1.288250-3 6.989467+4 1.400000-3 5.845800+4 1.543000-3 4.706931+4 1.698244-3 3.770025+4 1.862087-3 3.024722+4 2.041738-3 2.411199+4 2.264644-3 1.853998+4 2.540973-3 1.372100+4 2.851018-3 1.006232+4 3.198895-3 7.314469+3 3.589219-3 5.271682+3 4.000000-3 3.843776+3 4.466836-3 2.766120+3 4.954502-3 2.016511+3 5.559043-3 1.408958+3 6.237348-3 9.767472+2 7.000000-3 6.713520+2 7.852356-3 4.586397+2 8.810489-3 3.109117+2 9.885531-3 2.092378+2 1.122018-2 1.343248+2 1.273503-2 8.559079+1 1.445440-2 5.414726+1 1.640590-2 3.401889+1 1.883649-2 2.033660+1 2.162719-2 1.206759+1 2.511886-2 6.803395+0 2.951209-2 3.641082+0 3.507519-2 1.848399+0 4.315191-2 8.123852-1 5.495409-2 3.087355-1 9.332543-2 3.677225-2 1.161449-1 1.537041-2 1.380384-1 7.773098-3 1.603245-1 4.334357-3 1.840772-1 2.545119-3 2.113489-1 1.505540-3 2.398833-1 9.372357-4 2.691535-1 6.133773-4 3.019952-1 4.043560-4 3.349654-1 2.796967-4 3.715352-1 1.949044-4 4.073803-1 1.423907-4 4.518559-1 1.009340-4 5.069907-1 6.944636-5 5.559043-1 5.175591-5 6.025596-1 4.025150-5 6.531306-1 3.156968-5 7.161434-1 2.409932-5 8.035261-1 1.735669-5 8.609938-1 1.419764-5 9.120108-1 1.209441-5 9.549926-1 1.070746-5 1.000000+0 9.547600-6 1.047129+0 8.581868-6 1.096478+0 7.767593-6 1.148154+0 7.072839-6 1.216186+0 6.335153-6 1.318257+0 5.478899-6 1.513561+0 4.331664-6 1.840772+0 3.076278-6 2.044000+0 2.576200-6 2.317395+0 2.099318-6 2.630268+0 1.720375-6 3.019952+0 1.395118-6 3.507519+0 1.120303-6 4.120975+0 8.919173-7 4.841724+0 7.154917-7 5.754399+0 5.693740-7 6.918310+0 4.498884-7 8.413951+0 3.530352-7 1.035142+1 2.752518-7 1.288250+1 2.132144-7 1.621810+1 1.641231-7 2.113489+1 1.223137-7 2.818383+1 8.948086-8 4.315191+1 5.694018-8 6.998420+1 3.444748-8 1.288250+2 1.844780-8 2.570396+2 9.166062-9 1.023293+3 2.287480-9 1.621810+4 1.44071-10 1.000000+5 2.33610-11 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.414000-4 3.134600-5 1.000000+5 3.134600-5 1 62000 7 7 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.414000-4 1.495600-8 1.000000+5 1.495600-8 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.414000-4 1.100390-4 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.365200-4 5.693010+5 1.390000-4 7.404720+5 1.400000-4 8.167560+5 1.407000-4 8.699640+5 1.415000-4 9.289260+5 1.423000-4 9.842400+5 1.430000-4 1.028394+6 1.437000-4 1.067670+6 1.445000-4 1.105698+6 1.453000-4 1.135818+6 1.460000-4 1.155402+6 1.467000-4 1.168776+6 1.473000-4 1.175466+6 1.482300-4 1.177773+6 1.492000-4 1.170900+6 1.500000-4 1.159200+6 1.510000-4 1.138350+6 1.520000-4 1.112136+6 1.531087-4 1.078546+6 1.545000-4 1.032096+6 1.560000-4 9.792540+5 1.580000-4 9.078600+5 1.608400-4 8.097301+5 1.640590-4 7.073671+5 1.678804-4 6.004774+5 1.757924-4 4.303611+5 1.790000-4 3.796956+5 1.820000-4 3.407316+5 1.842000-4 3.168312+5 1.865000-4 2.956476+5 1.885000-4 2.801016+5 1.908000-4 2.651976+5 1.930000-4 2.536164+5 1.950000-4 2.451162+5 1.973000-4 2.375016+5 1.995262-4 2.320823+5 2.020000-4 2.280528+5 2.041738-4 2.260442+5 2.065380-4 2.252918+5 2.090000-4 2.259018+5 2.120000-4 2.282976+5 2.150000-4 2.322234+5 2.190000-4 2.393790+5 2.240000-4 2.506590+5 2.317395-4 2.714200+5 2.480000-4 3.201450+5 2.580000-4 3.499632+5 2.660725-4 3.728031+5 2.754229-4 3.972039+5 2.830000-4 4.150590+5 2.917427-4 4.333675+5 3.019952-4 4.517344+5 3.126079-4 4.674574+5 3.240000-4 4.809906+5 3.350000-4 4.910970+5 3.470000-4 4.990788+5 3.600000-4 5.044404+5 3.758374-4 5.069474+5 3.935501-4 5.055833+5 4.120975-4 5.006669+5 4.315191-4 4.925706+5 4.550000-4 4.796334+5 4.786301-4 4.642483+5 5.069907-4 4.439223+5 5.370318-4 4.214185+5 5.688529-4 3.973494+5 6.025596-4 3.722376+5 6.456542-4 3.415468+5 6.918310-4 3.110033+5 7.413102-4 2.811348+5 8.000000-4 2.495394+5 8.609938-4 2.208553+5 9.332543-4 1.916671+5 1.011579-3 1.650863+5 1.096478-3 1.411716+5 1.202264-3 1.170702+5 1.303167-3 9.868648+4 1.428894-3 8.059498+4 1.570000-3 6.498360+4 1.698244-3 5.400641+4 1.883649-3 4.198120+4 2.113489-3 3.141988+4 2.344229-3 2.400405+4 2.600160-3 1.819989+4 2.851018-3 1.414304+4 3.126079-3 1.092920+4 3.427678-3 8.399828+3 3.801894-3 6.205397+3 4.216965-3 4.554242+3 4.677351-3 3.319496+3 5.188000-3 2.403443+3 5.821032-3 1.666096+3 6.531306-3 1.145904+3 7.328245-3 7.820807+2 8.222426-3 5.296706+2 9.225714-3 3.560393+2 1.035142-2 2.377457+2 1.161449-2 1.576649+2 1.318257-2 9.959794+1 1.500000-2 6.186840+1 1.717908-2 3.723402+1 1.972423-2 2.202269+1 2.264644-2 1.292286+1 2.630268-2 7.195915+0 3.054921-2 3.977348+0 3.630781-2 1.990591+0 4.365158-2 9.438340-1 5.495409-2 3.682069-1 9.120108-2 4.577647-2 1.109175-1 2.058337-2 1.303167-1 1.072910-2 1.513561-1 5.902053-3 1.717908-1 3.582951-3 1.927525-1 2.290966-3 2.162719-1 1.475385-3 2.398833-1 9.997382-4 2.660725-1 6.823208-4 2.917427-1 4.890760-4 3.198895-1 3.529008-4 3.507519-1 2.564572-4 3.845918-1 1.877852-4 4.168694-1 1.439130-4 4.518559-1 1.110040-4 4.897788-1 8.618967-5 5.308844-1 6.739397-5 5.754399-1 5.306463-5 6.237348-1 4.207172-5 6.760830-1 3.358729-5 7.328245-1 2.699824-5 7.943282-1 2.185031-5 8.609938-1 1.772355-5 9.120108-1 1.535632-5 9.660509-1 1.339751-5 1.011579+0 1.208301-5 1.071519+0 1.068982-5 1.148154+0 9.297278-6 1.230269+0 8.141896-6 1.333521+0 7.022974-6 1.778279+0 4.235815-6 2.018366+0 3.414744-6 2.290868+0 2.775423-6 2.600160+0 2.272988-6 2.985383+0 1.842188-6 3.467369+0 1.478441-6 4.027170+0 1.195428-6 4.731513+0 9.579343-7 5.623413+0 7.615243-7 6.683439+0 6.099291-7 8.128305+0 4.779799-7 1.000000+1 3.722100-7 1.244515+1 2.879774-7 1.600000+1 2.162900-7 2.041738+1 1.648955-7 2.754229+1 1.190541-7 4.216965+1 7.570960-8 6.839116+1 4.578476-8 1.244515+2 2.480011-8 2.483133+2 1.231893-8 4.954502+2 6.146937-9 3.935501+3 7.70624-10 1.000000+5 3.03200-11 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.365200-4 2.991200-5 1.000000+5 2.991200-5 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.365200-4 1.066080-4 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 9.370000-6 2.368510+5 9.660509-6 2.308133+5 1.000000-5 2.256060+5 1.035142-5 2.217184+5 1.070000-5 2.193150+5 1.110000-5 2.182388+5 1.150000-5 2.188351+5 1.190000-5 2.210023+5 1.230269-5 2.245606+5 1.273503-5 2.298397+5 1.318257-5 2.367830+5 1.365000-5 2.455459+5 1.420000-5 2.576701+5 1.480000-5 2.729547+5 1.548817-5 2.928877+5 1.621810-5 3.166837+5 1.717908-5 3.519076+5 1.840772-5 4.028720+5 2.000000-5 4.777923+5 2.400000-5 7.002235+5 2.600160-5 8.238763+5 2.786121-5 9.410457+5 2.951209-5 1.044438+6 3.126079-5 1.151623+6 3.311311-5 1.260763+6 3.507519-5 1.369476+6 3.730000-5 1.483764+6 3.935501-5 1.581340+6 4.168694-5 1.682667+6 4.466836-5 1.798995+6 4.800000-5 1.914296+6 5.150000-5 2.018444+6 5.500000-5 2.106058+6 5.821032-5 2.171353+6 6.165950-5 2.224453+6 6.531306-5 2.263230+6 6.918310-5 2.285860+6 7.328245-5 2.292346+6 7.800000-5 2.283970+6 8.317638-5 2.260012+6 9.015711-5 2.214631+6 9.800000-5 2.150315+6 1.047129-4 2.088130+6 1.122018-4 2.010746+6 1.190000-4 1.935999+6 1.288250-4 1.823826+6 1.380384-4 1.718721+6 1.480000-4 1.609502+6 1.603245-4 1.480056+6 1.698244-4 1.384882+6 1.820000-4 1.269764+6 1.972423-4 1.136549+6 2.113489-4 1.025393+6 2.250000-4 9.289831+5 2.426610-4 8.177843+5 2.600160-4 7.217055+5 2.754229-4 6.465911+5 2.951209-4 5.633002+5 3.162278-4 4.873792+5 3.388442-4 4.188644+5 3.630781-4 3.576701+5 3.890451-4 3.035345+5 4.216965-4 2.487761+5 4.570882-4 2.023453+5 4.954502-4 1.633995+5 5.370318-4 1.310607+5 5.888437-4 1.010742+5 6.456542-4 7.736058+4 7.079458-4 5.877568+4 7.762471-4 4.433642+4 8.511380-4 3.321530+4 9.440609-4 2.382004+4 1.047129-3 1.695438+4 1.161449-3 1.198006+4 1.288250-3 8.405801+3 1.428894-3 5.858013+3 1.603245-3 3.892517+3 1.798871-3 2.566417+3 2.018366-3 1.679014+3 2.264644-3 1.090128+3 2.540973-3 7.025257+2 2.851018-3 4.494426+2 3.198895-3 2.854984+2 3.589219-3 1.800877+2 4.027170-3 1.128041+2 4.518559-3 7.017114+1 5.069907-3 4.322736+1 5.688529-3 2.644161+1 6.456542-3 1.528280+1 7.328245-3 8.766790+0 8.317638-3 4.991857+0 9.549926-3 2.679372+0 1.122018-2 1.286683+0 1.303167-2 6.465519-1 1.513561-2 3.225027-1 1.757924-2 1.596019-1 2.041738-2 7.840736-2 2.398833-2 3.612410-2 2.884032-2 1.477269-2 3.630781-2 4.788696-3 6.382635-2 3.009098-4 8.128305-2 9.251854-5 9.549926-2 4.236761-5 1.096478-1 2.184356-5 1.244515-1 1.198361-5 1.412538-1 6.623028-6 1.584893-1 3.891105-6 1.778279-1 2.303147-6 1.972423-1 1.446241-6 2.187762-1 9.142870-7 2.426610-1 5.820779-7 2.691535-1 3.733170-7 2.985383-1 2.412774-7 3.273407-1 1.644594-7 3.548134-1 1.183640-7 3.845918-1 8.579464-8 4.027170-1 7.166095-8 4.365158-1 5.279206-8 4.786301-1 3.749850-8 5.495409-1 2.258538-8 5.956621-1 1.691085-8 6.309573-1 1.385856-8 6.760830-1 1.098364-8 7.328245-1 8.434548-9 8.035261-1 6.280557-9 8.511380-1 5.183029-9 8.912509-1 4.470858-9 9.225714-1 4.020543-9 9.549926-1 3.633488-9 9.885531-1 3.302678-9 1.023293+0 3.021799-9 1.059254+0 2.782001-9 1.096478+0 2.575338-9 1.148154+0 2.340840-9 1.202264+0 2.142934-9 1.288250+0 1.894623-9 1.380384+0 1.687465-9 1.500000+0 1.476700-9 1.905461+0 9.73152-10 2.113489+0 8.17978-10 2.398833+0 6.66736-10 2.722701+0 5.47428-10 3.126079+0 4.44719-10 3.630781+0 3.57764-10 4.265795+0 2.85313-10 5.011872+0 2.29232-10 5.956621+0 1.82694-10 7.161434+0 1.44567-10 8.709636+0 1.13589-10 1.083927+1 8.74765-11 1.348963+1 6.78662-11 1.717908+1 5.16284-11 2.317395+1 3.71066-11 3.019952+1 2.78982-11 4.365158+1 1.88780-11 6.998420+1 1.15589-11 1.303167+2 6.11820-12 2.600160+2 3.04019-12 1.035142+3 7.58788-13 1.640590+4 4.77919-14 1.000000+5 7.83890-15 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 9.370000-6 9.370000-6 1.000000+5 9.370000-6 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 9.370000-6 0.0 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 8.750000-6 3.390715+5 9.100000-6 3.275759+5 9.500000-6 3.181857+5 9.885531-6 3.124047+5 1.023293-5 3.096643+5 1.060000-5 3.090774+5 1.100000-5 3.108372+5 1.135011-5 3.143175+5 1.174898-5 3.202614+5 1.216186-5 3.283974+5 1.258925-5 3.387690+5 1.310000-5 3.535644+5 1.365000-5 3.721816+5 1.428894-5 3.970009+5 1.500000-5 4.283004+5 1.584893-5 4.702691+5 1.690000-5 5.285346+5 1.819701-5 6.091501+5 2.344229-5 1.009902+6 2.540973-5 1.179066+6 2.730000-5 1.344126+6 2.900000-5 1.490945+6 3.080000-5 1.641088+6 3.273407-5 1.794746+6 3.467369-5 1.939180+6 3.672823-5 2.079928+6 3.900000-5 2.222293+6 4.168694-5 2.374488+6 4.466836-5 2.523343+6 4.800000-5 2.669687+6 5.150000-5 2.800415+6 5.500000-5 2.908000+6 5.821032-5 2.986601+6 6.165950-5 3.047690+6 6.531306-5 3.089393+6 6.918310-5 3.109593+6 7.328245-5 3.108424+6 7.852356-5 3.084410+6 8.511380-5 3.028264+6 9.120108-5 2.963833+6 9.900000-5 2.867906+6 1.060000-4 2.771776+6 1.135011-4 2.661361+6 1.216186-4 2.534143+6 1.303167-4 2.397470+6 1.412538-4 2.228443+6 1.513561-4 2.078995+6 1.621810-4 1.927857+6 1.757924-4 1.748189+6 1.883649-4 1.593567+6 2.000000-4 1.462484+6 2.162719-4 1.297484+6 2.350000-4 1.131291+6 2.540973-4 9.843137+5 2.722701-4 8.633096+5 2.917427-4 7.521325+5 3.126079-4 6.507897+5 3.349654-4 5.592702+5 3.589219-4 4.775446+5 3.845918-4 4.052572+5 4.168694-4 3.321444+5 4.518559-4 2.701566+5 4.897788-4 2.181728+5 5.308844-4 1.750379+5 5.754399-4 1.395283+5 6.309573-4 1.068606+5 6.918310-4 8.122062+4 7.585776-4 6.128809+4 8.413951-4 4.429288+4 9.332543-4 3.175643+4 1.035142-3 2.259306+4 1.148154-3 1.595889+4 1.273503-3 1.119576+4 1.412538-3 7.800633+3 1.566751-3 5.398946+3 1.757924-3 3.559808+3 1.972423-3 2.329002+3 2.213095-3 1.513633+3 2.454709-3 1.020191+3 2.722701-3 6.828108+2 3.019952-3 4.529626+2 3.388442-3 2.848073+2 3.935501-3 1.544490+2 4.466836-3 9.135329+1 5.011872-3 5.628947+1 5.559043-3 3.618591+1 6.237348-3 2.197566+1 7.079458-3 1.260031+1 8.035261-3 7.170804+0 9.225714-3 3.845595+0 1.059254-2 2.046944+0 1.258925-2 9.225962-1 1.462177-2 4.593658-1 1.678804-2 2.396629-1 1.905461-2 1.310405-1 2.213095-2 6.371827-2 2.630268-2 2.750614-2 3.198895-2 1.052529-2 4.168694-2 2.842930-3 7.244360-2 1.836961-4 8.609938-2 7.853628-5 1.000000-1 3.785979-5 1.148154-1 1.944301-5 1.303167-1 1.063216-5 1.462177-1 6.186744-6 1.621810-1 3.825527-6 1.798871-1 2.382275-6 1.972423-1 1.573985-6 2.162719-1 1.047419-6 2.371374-1 7.018823-7 2.600160-1 4.736086-7 2.851018-1 3.216505-7 3.090295-1 2.308338-7 3.349654-1 1.668116-7 3.589219-1 1.270419-7 3.845918-1 9.736258-8 4.073803-1 7.845475-8 4.365158-1 6.102585-8 4.731513-1 4.586954-8 5.370318-1 2.958414-8 5.754399-1 2.343121-8 6.165950-1 1.868505-8 6.531306-1 1.559522-8 6.998420-1 1.264224-8 7.673615-1 9.643265-9 8.317638-1 7.663472-9 8.912509-1 6.334694-9 9.549926-1 5.258119-9 9.885531-1 4.813654-9 1.023293+0 4.429787-9 1.071519+0 3.993042-9 1.122018+0 3.624003-9 1.188502+0 3.236234-9 1.273503+0 2.850558-9 1.380384+0 2.477812-9 1.513561+0 2.122960-9 1.862087+0 1.478016-9 2.065380+0 1.241011-9 2.344229+0 1.010250-9 2.660725+0 8.28381-10 3.054921+0 6.72094-10 3.548134+0 5.40029-10 4.168694+0 4.30187-10 4.897788+0 3.45279-10 5.821032+0 2.74906-10 7.000000+0 2.17260-10 8.511380+0 1.70614-10 1.059254+1 1.31280-10 1.318257+1 1.01769-10 1.659587+1 7.83831-11 2.187762+1 5.77146-11 2.951209+1 4.17537-11 4.365158+1 2.75711-11 7.079458+1 1.66836-11 1.318257+2 8.83162-12 2.630268+2 4.38898-12 1.047129+3 1.09554-12 1.659587+4 6.90018-14 1.000000+5 1.14490-14 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 8.750000-6 8.750000-6 1.000000+5 8.750000-6 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 8.750000-6 0.0 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 4.774000-5 5.323080+4 4.841724-5 5.420432+4 4.970000-5 5.649320+4 5.150000-5 6.029860+4 5.688529-5 7.320670+4 5.956621-5 7.956462+4 6.220000-5 8.540220+4 6.456542-5 9.020045+4 6.730000-5 9.516420+4 7.000000-5 9.941180+4 7.300000-5 1.033494+5 7.585776-5 1.063490+5 7.900000-5 1.088382+5 8.222426-5 1.105841+5 8.522000-5 1.115629+5 8.912509-5 1.120643+5 9.332543-5 1.118328+5 9.885531-5 1.106510+5 1.047129-4 1.086844+5 1.122018-4 1.055594+5 1.202264-4 1.018154+5 1.288250-4 9.755959+4 1.380384-4 9.285425+4 1.480000-4 8.775440+4 1.603245-4 8.164817+4 1.757924-4 7.459445+4 1.950000-4 6.691460+4 2.162719-4 5.962251+4 2.426610-4 5.200527+4 2.818383-4 4.315486+4 3.235937-4 3.606111+4 3.845918-4 2.854003+4 4.518559-4 2.277470+4 5.432503-4 1.745793+4 6.531306-4 1.327451+4 7.762471-4 1.019778+4 9.225714-4 7.782020+3 1.100000-3 5.867460+3 1.320000-3 4.344720+3 1.584893-3 3.189728+3 1.905461-3 2.318865+3 2.317395-3 1.640085+3 2.786121-3 1.175551+3 3.467369-3 7.854022+2 4.265795-3 5.320181+2 5.248075-3 3.576433+2 6.531306-3 2.332432+2 7.943282-3 1.579323+2 9.549926-3 1.086382+2 1.148154-2 7.417125+1 1.380384-2 5.025561+1 1.640590-2 3.464179+1 1.972423-2 2.312145+1 2.387700-2 1.509981+1 2.818383-2 1.035945+1 3.198895-2 7.724326+0 3.758374-2 5.275794+0 4.415704-2 3.577168+0 5.248075-2 2.340952+0 6.237348-2 1.520481+0 7.498942-2 9.522801-1 8.810489-2 6.281288-1 1.096478-1 3.541463-1 1.445440-1 1.702034-1 2.371374-1 4.524336-2 2.917427-1 2.615525-2 3.467369-1 1.667995-2 4.000000-1 1.157700-2 4.570882-1 8.292590-3 5.188000-1 6.087029-3 5.821032-1 4.628302-3 6.531306-1 3.545200-3 7.328245-1 2.736374-3 8.317638-1 2.075732-3 9.225714-1 1.667429-3 1.011579+0 1.382431-3 1.161449+0 1.052977-3 1.303167+0 8.448954-4 1.462177+0 6.828997-4 1.640590+0 5.558222-4 1.862087+0 4.464746-4 2.113489+0 3.611799-4 2.398833+0 2.944077-4 2.722701+0 2.417192-4 3.126079+0 1.963617-4 3.630781+0 1.579678-4 4.265795+0 1.259739-4 5.011872+0 1.012087-4 5.956621+0 8.066625-5 7.161434+0 6.383023-5 8.709636+0 5.015454-5 1.083927+1 3.862396-5 1.348963+1 2.996523-5 1.717908+1 2.279612-5 2.317395+1 1.638381-5 3.019952+1 1.231767-5 4.365158+1 8.335272-6 7.079458+1 5.043655-6 1.318257+2 2.669918-6 2.630268+2 1.326850-6 1.047129+3 3.311925-7 1.659587+4 2.086061-8 1.000000+5 3.461200-9 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 4.774000-5 4.774000-5 1.000000+5 4.774000-5 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.774000-5 0.0 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.979000-5 7.216460+6 3.198895-5 5.483960+6 3.400000-5 4.368180+6 4.027170-5 2.352622+6 4.518559-5 1.532735+6 5.370318-5 8.020472+5 5.888437-5 5.714788+5 6.382635-5 4.279379+5 6.839116-5 3.362108+5 7.300000-5 2.695060+5 7.762471-5 2.204533+5 8.150000-5 1.891552+5 8.511380-5 1.659186+5 8.912509-5 1.452358+5 9.332543-5 1.279879+5 9.800000-5 1.127786+5 1.023293-4 1.015196+5 1.071519-4 9.138642+4 1.122018-4 8.283277+4 1.174898-4 7.557502+4 1.230269-4 6.938965+4 1.288250-4 6.410048+4 1.350000-4 5.949080+4 1.430000-4 5.469000+4 1.513561-4 5.070271+4 1.620000-4 4.668580+4 1.757924-4 4.264761+4 1.927525-4 3.880861+4 2.213095-4 3.400350+4 3.054921-4 2.523872+4 3.548134-4 2.183266+4 4.073803-4 1.897723+4 4.623810-4 1.657614+4 5.308844-4 1.419908+4 6.025596-4 1.222889+4 6.839116-4 1.045867+4 7.800000-4 8.821600+3 8.810489-4 7.482407+3 9.885531-4 6.363240+3 1.122018-3 5.284676+3 1.273503-3 4.355197+3 1.445440-3 3.561751+3 1.640590-3 2.890567+3 1.862087-3 2.328339+3 2.113489-3 1.861863+3 2.398833-3 1.478260+3 2.722701-3 1.165402+3 3.090295-3 9.123624+2 3.507519-3 7.093598+2 4.000000-3 5.423600+2 4.570882-3 4.098478+2 5.188000-3 3.118777+2 5.888437-3 2.356364+2 6.683439-3 1.767620+2 7.585776-3 1.316524+2 8.609938-3 9.732678+1 9.772372-3 7.142379+1 1.109175-2 5.204596+1 1.258925-2 3.766436+1 1.513561-2 2.330234+1 1.717908-2 1.659961+1 1.972423-2 1.137608+1 2.264644-2 7.741536+0 2.630268-2 5.062728+0 3.054921-2 3.285709+0 3.589219-2 2.045773+0 4.265795-2 1.221374+0 5.069907-2 7.238030-1 6.237348-2 3.828744-1 8.035261-2 1.742841-1 1.202264-1 4.934310-2 1.584893-1 2.081873-2 1.927525-1 1.137093-2 2.290868-1 6.713387-3 2.660725-1 4.281728-3 3.054921-1 2.846912-3 3.467369-1 1.971840-3 3.935501-1 1.376113-3 4.415705-1 9.997238-4 4.954502-1 7.317131-4 5.495409-1 5.562186-4 6.095369-1 4.257019-4 6.760830-1 3.282253-4 7.498942-1 2.549366-4 8.609938-1 1.835533-4 9.225714-1 1.566688-4 9.772372-1 1.380499-4 1.047129+0 1.194854-4 1.135011+0 1.016180-4 1.244515+0 8.506564-5 1.380384+0 7.027526-5 1.678804+0 4.963875-5 1.905461+0 3.990612-5 2.162719+0 3.231805-5 2.454709+0 2.637893-5 2.818383+0 2.130977-5 3.273407+0 1.705112-5 3.801894+0 1.374879-5 4.466836+0 1.098839-5 5.308844+0 8.712645-6 6.309573+0 6.961322-6 7.673615+0 5.442839-6 9.332543+0 4.287860-6 1.174898+1 3.265840-6 1.513561+1 2.442142-6 1.972423+1 1.817083-6 2.600160+1 1.344011-6 3.715352+1 9.180259-7 5.370318+1 6.239233-7 8.709636+1 3.787825-7 1.659587+2 1.964087-7 3.311311+2 9.777781-8 1.318257+3 2.443357-8 1.000000+5 3.21630-10 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.979000-5 2.979000-5 1.000000+5 2.979000-5 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.979000-5 0.0 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.602000-5 1.549356+7 2.750000-5 1.227140+7 2.884032-5 1.012112+7 3.054921-5 8.079820+6 3.388442-5 5.443620+6 4.265795-5 2.282038+6 4.650000-5 1.658004+6 4.954502-5 1.318659+6 5.248075-5 1.077685+6 5.559043-5 8.867806+5 5.888437-5 7.353806+5 6.165950-5 6.370657+5 6.456542-5 5.552915+5 6.760830-5 4.872674+5 7.079458-5 4.306679+5 7.413102-5 3.835345+5 7.762471-5 3.442392+5 8.128305-5 3.114473+5 8.511380-5 2.839610+5 8.912509-5 2.608154+5 9.332543-5 2.411758+5 9.800000-5 2.233868+5 1.040000-4 2.050696+5 1.109175-4 1.883779+5 1.190000-4 1.729716+5 1.288250-4 1.582245+5 1.428894-4 1.420046+5 1.800000-4 1.131628+5 2.187762-4 9.323429+4 2.600160-4 7.794733+4 3.019952-4 6.626512+4 3.500000-4 5.600720+4 4.073803-4 4.671914+4 4.677351-4 3.930312+4 5.370318-4 3.283584+4 6.200000-4 2.701272+4 7.079458-4 2.239401+4 8.128305-4 1.828362+4 9.225714-4 1.507525+4 1.047129-3 1.234291+4 1.188502-3 1.003533+4 1.348963-3 8.101966+3 1.531087-3 6.494876+3 1.737801-3 5.169421+3 1.972423-3 4.085858+3 2.238721-3 3.207346+3 2.540973-3 2.500548+3 2.884032-3 1.936261+3 3.311311-3 1.453645+3 3.758374-3 1.109797+3 4.265795-3 8.415112+2 4.841724-3 6.336994+2 5.495409-3 4.739092+2 6.237348-3 3.518732+2 7.079458-3 2.593320+2 8.035261-3 1.897063+2 9.120108-3 1.377758+2 1.035142-2 9.931800+1 1.174898-2 7.106401+1 1.333521-2 5.048422+1 1.531087-2 3.449615+1 1.757924-2 2.339014+1 2.018366-2 1.573692+1 2.317395-2 1.050579+1 2.660725-2 6.962529+0 3.054921-2 4.582094+0 3.548134-2 2.889679+0 4.168694-2 1.744992+0 4.954502-2 1.008192+0 5.956621-2 5.563936-1 7.413102-2 2.723014-1 1.000000-1 1.014552-1 1.462177-1 2.878240-2 1.798871-1 1.457562-2 2.162719-1 8.023787-3 2.483133-1 5.163170-3 2.818383-1 3.470717-3 3.162278-1 2.435208-3 3.548134-1 1.721241-3 3.935501-1 1.268432-3 4.365158-1 9.417862-4 4.841724-1 7.046879-4 5.308844-1 5.482574-4 5.821032-1 4.293852-4 6.382635-1 3.386497-4 6.998420-1 2.689756-4 7.673615-1 2.151223-4 8.609938-1 1.638345-4 9.225714-1 1.399916-4 9.885531-1 1.204745-4 1.071519+0 1.020458-4 1.174898+0 8.503101-5 1.288250+0 7.138004-5 1.428894+0 5.909234-5 1.698244+0 4.351522-5 1.927525+0 3.500701-5 2.187762+0 2.837388-5 2.483133+0 2.317556-5 2.851018+0 1.873332-5 3.311311+0 1.499825-5 3.845918+0 1.210045-5 4.518559+0 9.676368-6 5.370318+0 7.676474-6 6.382635+0 6.136452-6 7.762471+0 4.800109-6 9.440609+0 3.783157-6 1.188502+1 2.882586-6 1.531087+1 2.156489-6 1.995262+1 1.604986-6 2.630268+1 1.187407-6 4.027170+1 7.540306-7 6.531306+1 4.556132-7 1.174898+2 2.495486-7 2.344229+2 1.239016-7 4.677351+2 6.180657-8 1.862087+3 1.546891-8 1.000000+5 2.87710-10 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.602000-5 2.602000-5 1.000000+5 2.602000-5 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.602000-5 0.0 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.090000-6 3.348340+6 5.248075-6 2.929013+6 5.500000-6 2.367300+6 5.956621-6 1.636465+6 6.456542-6 1.116899+6 6.918310-6 7.987524+5 7.413102-6 5.669996+5 7.852356-6 4.235331+5 8.413951-6 2.962195+5 9.015711-6 2.056453+5 1.050000-5 9.082260+4 1.100000-5 7.114820+4 1.135011-5 6.065290+4 1.174898-5 5.122161+4 1.202264-5 4.600923+4 1.230269-5 4.154712+4 1.260000-5 3.762300+4 1.290000-5 3.437500+4 1.318257-5 3.186499+4 1.340000-5 3.024280+4 1.365000-5 2.866480+4 1.390000-5 2.735360+4 1.420000-5 2.608060+4 1.450000-5 2.508860+4 1.480000-5 2.433100+4 1.507000-5 2.381840+4 1.540000-5 2.337460+4 1.570000-5 2.311700+4 1.610000-5 2.295020+4 1.650000-5 2.294500+4 1.698244-5 2.310450+4 1.757924-5 2.348570+4 1.830000-5 2.412640+4 1.950000-5 2.542080+4 2.187762-5 2.810600+4 2.344229-5 2.966364+4 2.500000-5 3.095240+4 2.660725-5 3.200891+4 2.818383-5 3.279802+4 3.000000-5 3.343560+4 3.198895-5 3.384279+4 3.400000-5 3.398240+4 3.589219-5 3.390125+4 3.801894-5 3.361813+4 4.070000-5 3.304180+4 4.365158-5 3.220091+4 4.650000-5 3.124240+4 5.000000-5 2.994080+4 5.400000-5 2.839700+4 5.821032-5 2.678348+4 6.309573-5 2.497721+4 7.000000-5 2.264080+4 7.800000-5 2.028820+4 9.015711-5 1.735884+4 1.071519-4 1.428994+4 1.445440-4 1.010313+4 1.621810-4 8.799206+3 1.819701-4 7.604751+3 2.018366-4 6.626122+3 2.290868-4 5.548784+3 3.090295-4 3.590989+3 3.845918-4 2.619718+3 4.466836-4 2.096100+3 6.309573-4 1.239153+3 7.328245-4 9.819151+2 9.885531-4 6.085045+2 1.174898-3 4.584213+2 1.412538-3 3.362756+2 1.717908-3 2.401229+2 2.089296-3 1.701973+2 2.547010-3 1.192628+2 3.311311-3 7.362912+1 4.073803-3 4.996068+1 5.011872-3 3.365067+1 6.165950-3 2.249414+1 7.498942-3 1.527019+1 9.120108-3 1.028678+1 1.096478-2 7.039004+0 1.318257-2 4.779860+0 1.584893-2 3.220721+0 1.883649-2 2.208293+0 2.238721-2 1.502992+0 2.660725-2 1.015175+0 3.126079-2 6.987976-1 3.715352-2 4.646875-1 4.415704-2 3.066021-1 5.188000-2 2.065150-1 6.165950-2 1.341973-1 7.413102-2 8.408764-2 8.709636-2 5.549121-2 1.083927-1 3.130079-2 1.428894-1 1.504953-2 2.371374-1 3.880681-3 2.917427-1 2.244019-3 3.427678-1 1.474675-3 3.935501-1 1.035668-3 4.466836-1 7.540545-4 5.069907-1 5.530453-4 5.688529-1 4.202215-4 6.382635-1 3.216890-4 7.079458-1 2.546480-4 7.852356-1 2.029091-4 8.709636-1 1.627445-4 9.660509-1 1.314890-4 1.109175+0 9.997739-5 1.258925+0 7.826742-5 1.428894+0 6.178146-5 1.584893+0 5.123737-5 1.798871+0 4.107623-5 2.065380+0 3.253509-5 2.344229+0 2.648089-5 2.660725+0 2.171496-5 3.054921+0 1.762071-5 3.548134+0 1.415863-5 4.168694+0 1.127882-5 4.897788+0 9.052472-6 5.821032+0 7.207422-6 7.000000+0 5.696100-6 8.511380+0 4.473068-6 1.047129+1 3.488980-6 1.303167+1 2.703640-6 1.640590+1 2.081844-6 2.137962+1 1.551924-6 2.851018+1 1.135758-6 4.315191+1 7.316394-7 6.998420+1 4.426262-7 1.288250+2 2.370405-7 2.570396+2 1.177752-7 1.023293+3 2.939268-8 1.621810+4 1.851265-9 1.000000+5 3.00170-10 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.090000-6 5.090000-6 1.000000+5 5.090000-6 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.090000-6 0.0 1.000000+5 1.000000+5 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.820250-7 1.027100+0 1.223090-6 1.027500+0 1.531910-6 1.028100+0 2.085660-6 1.028750+0 2.820250-6 1.029500+0 3.859590-6 1.030100+0 4.853900-6 1.031000+0 6.641790-6 1.032000+0 9.087630-6 1.033200+0 1.273020-5 1.034000+0 1.562750-5 1.035300+0 2.121220-5 1.036640+0 2.820250-5 1.038200+0 3.806020-5 1.039700+0 4.944780-5 1.041500+0 6.578970-5 1.043800+0 9.131820-5 1.046400+0 1.270520-4 1.048300+0 1.581830-4 1.051200+0 2.145720-4 1.054080+0 2.820250-4 1.057700+0 3.844190-4 1.061100+0 5.000350-4 1.065100+0 6.619940-4 1.070400+0 9.235570-4 1.076200+0 1.276360-3 1.080600+0 1.593960-3 1.087100+0 2.147580-3 1.093710+0 2.820250-3 1.102600+0 3.910050-3 1.110700+0 5.099170-3 1.120600+0 6.820610-3 1.133300+0 9.482680-3 1.147500+0 1.309180-2 1.158200+0 1.626980-2 1.174100+0 2.174710-2 1.190110+0 2.820250-2 1.205100+0 3.511840-2 1.227500+0 4.701660-2 1.250000+0 6.072000-2 1.265600+0 7.112320-2 1.294900+0 9.241940-2 1.320600+0 1.126980-1 1.343000+0 1.313940-1 1.382200+0 1.659710-1 1.433800+0 2.143660-1 1.500000+0 2.807000-1 1.562500+0 3.481760-1 1.617200+0 4.109630-1 1.712900+0 5.279620-1 1.838500+0 6.918070-1 1.946200+0 8.372730-1 2.000000+0 9.102000-1 2.044000+0 9.695000-1 2.163500+0 1.130200+0 2.372600+0 1.408810+0 2.647100+0 1.764940+0 3.000000+0 2.202000+0 3.500000+0 2.778470+0 4.000000+0 3.310000+0 4.750000+0 4.034220+0 5.000000+0 4.258000+0 6.000000+0 5.074000+0 7.000000+0 5.796000+0 8.000000+0 6.444000+0 9.000000+0 7.033000+0 1.000000+1 7.573000+0 1.100000+1 8.072000+0 1.200000+1 8.535000+0 1.300000+1 8.967000+0 1.400000+1 9.367000+0 1.500000+1 9.739000+0 1.600000+1 1.008000+1 1.800000+1 1.071000+1 2.000000+1 1.127000+1 2.200000+1 1.177000+1 2.400000+1 1.223000+1 2.600000+1 1.265000+1 2.800000+1 1.304000+1 3.000000+1 1.339000+1 4.000000+1 1.484000+1 5.000000+1 1.591000+1 6.000000+1 1.674000+1 8.000000+1 1.797000+1 1.000000+2 1.885000+1 1.500000+2 2.023000+1 2.000000+2 2.106000+1 3.000000+2 2.202000+1 4.000000+2 2.257000+1 5.000000+2 2.294000+1 6.000000+2 2.320000+1 8.000000+2 2.354000+1 1.000000+3 2.377000+1 1.500000+3 2.409000+1 2.000000+3 2.427000+1 3.000000+3 2.446000+1 4.000000+3 2.456000+1 5.000000+3 2.463000+1 6.000000+3 2.467000+1 8.000000+3 2.473000+1 1.000000+4 2.477000+1 1.500000+4 2.482000+1 2.000000+4 2.485000+1 3.000000+4 2.488000+1 4.000000+4 2.489000+1 5.000000+4 2.490000+1 6.000000+4 2.491000+1 8.000000+4 2.492000+1 1.000000+5 2.492000+1 1 62000 7 8 1.503500+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 6.214530-7 2.094700+0 1.094090-6 2.099900+0 1.455530-6 2.106600+0 2.024760-6 2.114000+0 2.801510-6 2.119500+0 3.487870-6 2.127900+0 4.730210-6 2.136250+0 6.214530-6 2.147000+0 8.520560-6 2.156900+0 1.106720-5 2.169000+0 1.476980-5 2.184500+0 2.053060-5 2.201800+0 2.840470-5 2.214800+0 3.539000-5 2.234200+0 4.760580-5 2.253680+0 6.214530-5 2.281500+0 8.704540-5 2.307000+0 1.143340-4 2.338200+0 1.537320-4 2.377400+0 2.128990-4 2.410200+0 2.707720-4 2.446800+0 3.444380-4 2.485900+0 4.336660-4 2.532900+0 5.550010-4 2.556430+0 6.214530-4 2.611900+0 7.924260-4 2.660400+0 9.580070-4 2.745300+0 1.282240-3 2.809000+0 1.552880-3 2.904500+0 2.000500-3 3.000000+0 2.497000-3 3.125000+0 3.219600-3 3.234400+0 3.917250-3 3.425800+0 5.274290-3 3.569300+0 6.394800-3 3.784700+0 8.219090-3 4.000000+0 1.018000-2 4.250000+0 1.257740-2 4.625000+0 1.634490-2 5.000000+0 2.026000-2 5.500000+0 2.563000-2 6.000000+0 3.107000-2 6.750000+0 3.916670-2 7.000000+0 4.183000-2 8.000000+0 5.224000-2 9.000000+0 6.219000-2 1.000000+1 7.163000-2 1.100000+1 8.056000-2 1.200000+1 8.897000-2 1.300000+1 9.688000-2 1.400000+1 1.044000-1 1.500000+1 1.115000-1 1.600000+1 1.183000-1 1.800000+1 1.308000-1 2.000000+1 1.421000-1 2.200000+1 1.525000-1 2.400000+1 1.621000-1 2.600000+1 1.708000-1 2.800000+1 1.790000-1 3.000000+1 1.866000-1 4.000000+1 2.178000-1 5.000000+1 2.414000-1 6.000000+1 2.601000-1 8.000000+1 2.881000-1 1.000000+2 3.084000-1 1.500000+2 3.419000-1 2.000000+2 3.628000-1 3.000000+2 3.883000-1 4.000000+2 4.037000-1 5.000000+2 4.141000-1 6.000000+2 4.218000-1 8.000000+2 4.324000-1 1.000000+3 4.395000-1 1.500000+3 4.501000-1 2.000000+3 4.561000-1 3.000000+3 4.627000-1 4.000000+3 4.665000-1 5.000000+3 4.689000-1 6.000000+3 4.706000-1 8.000000+3 4.728000-1 1.000000+4 4.743000-1 1.500000+4 4.762000-1 2.000000+4 4.773000-1 3.000000+4 4.784000-1 4.000000+4 4.791000-1 5.000000+4 4.795000-1 6.000000+4 4.798000-1 8.000000+4 4.800000-1 1.000000+5 4.803000-1 1 62000 7 8 1.503500+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 62000 7 9 1.503500+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 6.200000+1 1.000000+5 6.200000+1 5.000000+5 6.196600+1 1.000000+6 6.191600+1 1.375000+6 6.186570+1 1.500000+6 6.184300+1 1.875000+6 6.175730+1 2.000000+6 6.172400+1 2.375000+6 6.161320+1 2.500000+6 6.157300+1 2.875000+6 6.144240+1 3.000000+6 6.139500+1 3.250000+6 6.128910+1 3.625000+6 6.112960+1 4.000000+6 6.096300+1 4.437500+6 6.075410+1 4.812500+6 6.056560+1 5.000000+6 6.046800+1 5.500000+6 6.018460+1 5.875000+6 5.995880+1 6.437500+6 5.961680+1 6.500000+6 5.957970+1 7.000000+6 5.926800+1 7.500000+6 5.894940+1 8.250000+6 5.847440+1 9.000000+6 5.798800+1 1.000000+7 5.732500+1 1.250000+7 5.569400+1 1.500000+7 5.402600+1 1.750000+7 5.235300+1 2.000000+7 5.065900+1 2.250000+7 4.894000+1 2.375000+7 4.808270+1 2.500000+7 4.724000+1 2.875000+7 4.478360+1 3.000000+7 4.400200+1 3.437500+7 4.139280+1 3.812500+7 3.934360+1 4.000000+7 3.838400+1 4.500000+7 3.600770+1 5.000000+7 3.384900+1 5.500000+7 3.186160+1 6.000000+7 3.001800+1 6.750000+7 2.749310+1 7.000000+7 2.671600+1 8.000000+7 2.393000+1 9.000000+7 2.165200+1 1.000000+8 1.982600+1 1.125000+8 1.804700+1 1.250000+8 1.664600+1 1.375000+8 1.548640+1 1.437500+8 1.496100+1 1.500000+8 1.446000+1 1.625000+8 1.349790+1 1.718800+8 1.279000+1 1.815400+8 1.206130+1 1.881300+8 1.156360+1 1.960400+8 1.096400+1 2.000000+8 1.066400+1 2.125000+8 9.734160+0 2.312500+8 8.549610+0 2.375000+8 8.227620+0 2.406300+8 8.080970+0 2.500000+8 7.702100+0 2.562500+8 7.497320+0 2.835900+8 6.789420+0 2.918000+8 6.575000+0 3.000000+8 6.342300+0 3.062500+8 6.150100+0 3.335900+8 5.337800+0 3.445300+8 5.085750+0 3.500000+8 4.982500+0 3.562500+8 4.884600+0 3.671900+8 4.749750+0 4.000000+8 4.454800+0 4.125000+8 4.333490+0 4.234400+8 4.218890+0 4.425800+8 4.008490+0 4.677000+8 3.731470+0 4.750000+8 3.653260+0 5.000000+8 3.399500+0 5.343800+8 3.087620+0 5.578100+8 2.891050+0 5.859400+8 2.664390+0 6.000000+8 2.553500+0 6.500000+8 2.191070+0 6.750000+8 2.047910+0 6.937500+8 1.961960+0 7.000000+8 1.937400+0 7.125000+8 1.897290+0 7.343800+8 1.837490+0 7.835900+8 1.715540+0 8.000000+8 1.678300+0 8.250000+8 1.608630+0 8.468800+8 1.543700+0 8.851600+8 1.429630+0 9.569300+8 1.244080+0 9.856400+8 1.185570+0 1.000000+9 1.160100+0 1.031300+9 1.113330+0 1.060500+9 1.078140+0 1.100900+9 1.039760+0 1.137900+9 1.012150+0 1.204300+9 9.742950-1 1.357400+9 9.065370-1 1.428700+9 8.733470-1 1.482200+9 8.452470-1 1.500000+9 8.352300-1 1.560500+9 7.983720-1 1.615500+9 7.627480-1 1.686000+9 7.159150-1 1.764500+9 6.642310-1 1.823400+9 6.267640-1 1.911700+9 5.737140-1 2.000000+9 5.251400-1 2.139200+9 4.579240-1 2.272600+9 4.029340-1 2.443000+9 3.438060-1 2.602800+9 2.976750-1 2.825100+9 2.454100-1 2.961100+9 2.189560-1 3.215900+9 1.782060-1 3.438900+9 1.500010-1 3.500000+9 1.432570-1 3.634100+9 1.297250-1 3.975600+9 1.018100-1 4.231700+9 8.565470-2 4.615800+9 6.697820-2 5.000000+9 5.312300-2 5.375000+9 4.289100-2 6.031300+9 3.029980-2 6.892600+9 2.009330-2 8.000000+9 1.263200-2 1.00000+10 6.288900-3 1.27030+10 2.993090-3 1.55700+10 1.599920-3 2.00890+10 7.350600-4 2.65200+10 3.173680-4 3.54180+10 1.333290-4 4.72580+10 5.658120-5 6.04430+10 2.736730-5 8.02220+10 1.193020-5 1.00000+11 6.272900-6 1.34280+11 2.666390-6 1.77440+11 1.192260-6 2.63330+11 3.838180-7 4.88110+11 6.618060-8 1.16740+12 5.663640-9 3.55150+12 2.54486-10 1.00000+14 2.55870-14 2.05350+15 5.87651-18 1.00000+17 1.14070-22 1 62000 7 0 1.503500+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.10000-11 1.000000+2 1.100000-9 1.000000+3 1.100000-7 1.000000+4 1.100000-5 1.000000+5 1.100000-3 5.000000+5 2.750000-2 1.000000+6 1.100000-1 1.375000+6 2.052900-1 1.500000+6 2.431000-1 1.875000+6 3.731580-1 2.000000+6 4.218000-1 2.375000+6 5.818060-1 2.500000+6 6.395000-1 2.875000+6 8.235700-1 3.000000+6 8.883000-1 3.250000+6 1.021880+0 3.625000+6 1.231160+0 4.000000+6 1.448300+0 4.437500+6 1.707670+0 4.812500+6 1.932420+0 5.000000+6 2.045000+0 5.500000+6 2.343080+0 5.875000+6 2.564030+0 6.437500+6 2.889590+0 6.500000+6 2.925160+0 7.000000+6 3.206700+0 7.500000+6 3.480790+0 8.250000+6 3.881110+0 9.000000+6 4.272100+0 1.000000+7 4.786000+0 1.250000+7 6.076200+0 1.500000+7 7.395000+0 1.750000+7 8.708000+0 2.000000+7 9.984000+0 2.250000+7 1.121350+1 2.375000+7 1.181210+1 2.500000+7 1.240100+1 2.875000+7 1.411050+1 3.000000+7 1.466100+1 3.437500+7 1.649980+1 3.812500+7 1.796270+1 4.000000+7 1.865200+1 4.500000+7 2.035950+1 5.000000+7 2.191900+1 5.500000+7 2.336730+1 6.000000+7 2.474100+1 6.750000+7 2.669530+1 7.000000+7 2.732500+1 8.000000+7 2.973000+1 9.000000+7 3.197500+1 1.000000+8 3.406200+1 1.125000+8 3.644230+1 1.250000+8 3.855400+1 1.375000+8 4.039440+1 1.437500+8 4.121890+1 1.500000+8 4.199300+1 1.625000+8 4.338170+1 1.718800+8 4.431140+1 1.815400+8 4.518700+1 1.881300+8 4.574200+1 1.960400+8 4.636940+1 2.000000+8 4.666900+1 2.125000+8 4.755520+1 2.312500+8 4.875250+1 2.375000+8 4.912330+1 2.406300+8 4.929950+1 2.500000+8 4.981600+1 2.562500+8 5.014000+1 2.835900+8 5.144080+1 2.918000+8 5.179650+1 3.000000+8 5.213600+1 3.062500+8 5.238290+1 3.335900+8 5.338670+1 3.445300+8 5.375250+1 3.500000+8 5.393200+1 3.562500+8 5.412520+1 3.671900+8 5.445690+1 4.000000+8 5.536900+1 4.125000+8 5.567870+1 4.234400+8 5.594360+1 4.425800+8 5.637290+1 4.677000+8 5.688160+1 4.750000+8 5.702020+1 5.000000+8 5.746100+1 5.343800+8 5.798110+1 5.578100+8 5.829740+1 5.859400+8 5.862790+1 6.000000+8 5.877700+1 6.500000+8 5.922770+1 6.750000+8 5.941870+1 6.937500+8 5.954920+1 7.000000+8 5.959200+1 7.125000+8 5.966610+1 7.343800+8 5.979280+1 7.835900+8 6.004250+1 8.000000+8 6.011900+1 8.250000+8 6.022080+1 8.468800+8 6.030750+1 8.851600+8 6.043950+1 9.569300+8 6.066000+1 9.856400+8 6.073850+1 1.000000+9 6.077700+1 1.031300+9 6.085050+1 1.060500+9 6.091720+1 1.100900+9 6.100660+1 1.137900+9 6.108260+1 1.204300+9 6.120290+1 1.357400+9 6.142740+1 1.428700+9 6.150630+1 1.482200+9 6.156270+1 1.500000+9 6.158100+1 1.560500+9 6.163060+1 1.615500+9 6.167410+1 1.686000+9 6.171800+1 1.764500+9 6.176320+1 1.823400+9 6.179440+1 1.911700+9 6.183000+1 2.000000+9 6.186400+1 2.139200+9 6.189840+1 2.272600+9 6.192930+1 2.443000+9 6.196010+1 2.602800+9 6.197870+1 2.825100+9 6.199500+1 2.961100+9 6.200070+1 3.215900+9 6.201060+1 3.438900+9 6.201130+1 3.500000+9 6.201070+1 3.634100+9 6.200950+1 3.975600+9 6.200650+1 4.231700+9 6.200450+1 4.615800+9 6.200160+1 5.000000+9 6.199900+1 5.375000+9 6.199920+1 6.031300+9 6.199940+1 6.892600+9 6.199970+1 8.000000+9 6.200000+1 1.00000+10 6.200000+1 1.27030+10 6.200000+1 1.55700+10 6.200000+1 2.00890+10 6.200000+1 2.65200+10 6.200000+1 3.54180+10 6.200000+1 4.72580+10 6.200000+1 6.04430+10 6.200000+1 8.02220+10 6.200000+1 1.00000+11 6.200000+1 1.34280+11 6.200000+1 1.77440+11 6.200000+1 2.63330+11 6.200000+1 4.88110+11 6.200000+1 1.16740+12 6.200000+1 3.55150+12 6.200000+1 1.00000+14 6.200000+1 2.05350+15 6.200000+1 1.00000+17 6.200000+1 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.082730-6 0.0 1.085395-6 5.104198-8 1.088060-6 1.009980-7 1.090725-6 1.844811-7 1.093390-6 3.110605-7 1.096055-6 4.841631-7 1.098720-6 6.956526-7 1.101385-6 9.226712-7 1.104050-6 1.129680-6 1.106715-6 1.276785-6 1.109380-6 1.332092-6 1.112045-6 1.282934-6 1.114710-6 1.140588-6 1.117375-6 9.360667-7 1.122705-6 4.959353-7 1.125370-6 3.201586-7 1.128035-6 1.907916-7 1.130700-6 1.049560-7 1.133365-6 5.329783-8 1.136030-6 0.0 1.323504-6 0.0 1.326761-6 1.585669-7 1.330019-6 3.137602-7 1.333277-6 5.731087-7 1.336534-6 9.663400-7 1.339792-6 1.504100-6 1.343049-6 2.161113-6 1.346307-6 2.866369-6 1.349565-6 3.509462-6 1.352822-6 3.966459-6 1.356080-6 4.138274-6 1.359338-6 3.985561-6 1.362595-6 3.543347-6 1.365853-6 2.907983-6 1.372368-6 1.540672-6 1.375626-6 9.946040-7 1.378883-6 5.927128-7 1.382141-6 3.260562-7 1.385399-6 1.655749-7 1.388656-6 0.0 2.135702-6 0.0 2.143588-6 3.147774+0 2.146216-6 4.183722+0 2.151473-6 7.641910+0 2.156729-6 1.288531+1 2.162643-6 2.114866+1 2.171760-6 3.689539+1 2.178414-6 4.755578+1 2.183496-6 5.309918+1 2.188827-6 5.496499+1 2.194379-6 5.219053+1 2.199564-6 4.599147+1 2.208236-6 3.127694+1 2.214554-6 2.054353+1 2.220139-6 1.292800+1 2.225067-6 7.903314+0 2.230488-6 4.280960+0 2.237881-6 1.243165+0 2.240819-6 7.788765-3 2.240838-6 0.0 2.282167-6 0.0 2.292700-6 8.091549+0 2.293402-6 8.626019+0 2.299019-6 1.575613+1 2.304987-6 2.748892+1 2.310956-6 4.360440+1 2.320970-6 7.701010+1 2.327457-6 9.726701+1 2.333632-6 1.098106+2 2.338746-6 1.134684+2 2.344473-6 1.084591+2 2.350584-6 9.428258+1 2.359427-6 6.534508+1 2.366426-6 4.235675+1 2.372044-6 2.734404+1 2.377661-6 1.629509+1 2.383278-6 8.964064+0 2.391704-6 2.278701+0 2.394513-6 0.0 3.146376-6 0.0 3.154120-6 8.10235-16 3.161865-6 1.60323-15 3.169609-6 2.92843-15 3.177354-6 4.93774-15 3.185098-6 7.68555-15 3.192842-6 1.10427-14 3.200587-6 1.46464-14 3.208331-6 1.79324-14 3.216076-6 2.02675-14 3.223820-6 2.11455-14 3.231564-6 2.03652-14 3.239309-6 1.81056-14 3.247053-6 1.48590-14 3.262542-6 7.87242-15 3.270286-6 5.08216-15 3.278031-6 3.02860-15 3.285775-6 1.66606-15 3.293520-6 8.46044-16 3.301264-6 0.0 3.664347-6 0.0 3.670700-6 2.201185-6 3.688770-6 1.086665-1 3.697805-6 1.984876-1 3.706840-6 3.346764-1 3.715593-6 5.190430-1 3.734985-6 1.467113+0 3.744632-6 2.080641+0 3.759549-6 3.237938+0 3.779813-6 4.924328+0 3.792238-6 5.627884+0 3.800545-6 5.844064+0 3.807573-6 5.807050+0 3.818803-6 5.238430+0 3.828315-6 4.438558+0 3.852626-6 1.980377+0 3.861771-6 1.278461+0 3.870916-6 7.618710-1 3.880061-6 4.191115-1 3.893779-6 1.065398-1 3.898351-6 0.0 4.145621-6 0.0 4.145640-6 1.22002-14 4.155844-6 1.49264-11 4.166048-6 2.95316-11 4.176252-6 5.39358-11 4.186456-6 9.09335-11 4.196660-6 1.41523-10 4.222987-6 3.04703-10 4.242535-6 2.154658-2 4.243775-6 2.911555-2 4.254170-6 1.001336-1 4.263420-6 1.711645-1 4.273863-6 2.952315-1 4.285353-6 4.952259-1 4.298667-6 8.002095-1 4.319108-6 1.311549+0 4.328750-6 1.499765+0 4.337324-6 1.607474+0 4.349018-6 1.611126+0 4.359642-6 1.490083+0 4.372945-6 1.208461+0 4.395416-6 6.449416-1 4.399690-6 5.440060-1 4.410085-6 3.468644-1 4.420479-6 2.046113-1 4.430500-6 1.083022-1 4.451385-6 5.89135-12 4.466383-6 1.85407-11 4.477323-6 3.38625-11 4.485710-6 5.16561-11 4.495987-6 4.055448-3 4.507792-6 3.185807-2 4.518120-6 5.845153-2 4.529186-6 1.047226-1 4.540915-6 1.786925-1 4.551956-6 2.715007-1 4.577667-6 5.285355-1 4.586719-6 6.049741-1 4.596120-6 6.605246-1 4.607161-6 6.778533-1 4.619537-6 6.335614-1 4.631365-6 5.432917-1 4.654164-6 3.356151-1 4.663296-6 2.638894-1 4.673407-6 2.080196-1 4.684448-6 1.809799-1 4.695489-6 1.863956-1 4.708991-6 2.223329-1 4.717327-6 2.485970-1 4.732149-6 3.192731-1 4.740156-6 3.498837-1 4.751570-6 3.717866-1 4.765688-6 3.675879-1 4.808758-6 2.947367-1 4.818533-6 2.897764-1 4.842160-6 8.559075-1 4.854662-6 1.361894+0 4.866287-6 2.059212+0 4.880483-6 3.266924+0 4.915181-6 6.709106+0 4.927595-6 7.462977+0 4.939303-6 7.654754+0 4.951027-6 7.286247+0 4.964756-6 6.244326+0 4.997918-6 2.896202+0 5.009236-6 1.977200+0 5.020706-6 1.286658+0 5.032420-6 8.191695-1 5.055640-6 2.424350-1 5.111395-6 2.475354-1 5.191576-6 2.281685-1 5.217487-6 6.481130-1 5.230310-6 9.959304-1 5.243089-6 1.519939+0 5.257536-6 2.346906+0 5.294203-6 4.871084+0 5.308528-6 5.488852+0 5.320159-6 5.667201+0 5.332937-6 5.439687+0 5.346514-6 4.784957+0 5.368078-6 3.290259+0 5.383252-6 2.237718+0 5.396030-6 1.514273+0 5.408809-6 9.813973-1 5.421587-6 6.272729-1 5.447144-6 2.094632-1 5.459101-6 2.210578-1 5.472473-6 2.438837-1 5.485844-6 2.793296-1 5.499215-6 3.283990-1 5.539328-6 5.125651-1 5.552699-6 5.540216-1 5.566070-6 5.686902-1 5.579441-6 5.527889-1 5.592812-6 5.095989-1 5.632925-6 3.163051-1 5.646296-6 2.633257-1 5.659667-6 2.239940-1 5.673039-6 1.974652-1 5.699781-6 1.639438-1 6.061496-6 1.308609-1 6.484477-6 1.015495-1 6.830664-6 8.312613-2 7.171590-6 6.867253-2 7.206894-6 8.573952-2 7.224546-6 1.002828-1 7.242198-6 1.227163-1 7.259850-6 1.536310-1 7.312806-6 2.693710-1 7.330458-6 2.955720-1 7.348110-6 3.050600-1 7.365762-6 2.955143-1 7.383414-6 2.689892-1 7.436370-6 1.498054-1 7.454022-6 1.172204-1 7.471674-6 9.309131-2 7.489326-6 7.689381-2 7.524630-6 5.666294-2 7.724901-6 5.094670-2 7.762929-6 5.701580-2 7.773193-6 5.991871-2 7.781943-6 6.505886-2 7.800957-6 7.961122-2 7.811458-6 8.946188-2 7.824295-6 1.046887-1 7.833706-6 1.176973-1 7.852707-6 1.490603-1 7.901329-6 2.416444-1 7.922651-6 2.720454-1 7.941478-6 2.853577-1 7.960284-6 2.830320-1 7.979090-6 2.653569-1 8.004771-6 2.246859-1 8.041051-6 1.555139-1 8.060184-6 1.254752-1 8.076731-6 1.068263-1 8.099721-6 9.009765-2 8.117582-6 8.563109-2 8.155847-6 8.588437-2 8.181994-6 9.025704-2 8.202113-6 9.018858-2 8.278048-6 7.954794-2 8.324621-6 7.848858-2 8.382437-6 8.452240-2 8.409445-6 9.132716-2 8.440854-6 1.035289-1 8.500674-6 1.319368-1 8.524346-6 1.374241-1 8.545203-6 1.374170-1 8.566031-6 1.319575-1 8.592598-6 1.182742-1 8.645481-6 8.676020-2 8.665430-6 7.846312-2 8.684626-6 7.380434-2 8.705290-6 7.316803-2 8.734376-6 7.735957-2 8.746657-6 8.034146-2 8.794610-6 9.596357-2 8.832208-6 1.018843-1 8.881950-6 1.023140-1 9.124544-6 9.892177-2 9.240899-6 9.136102-2 9.318520-6 8.601883-2 9.374722-6 8.694307-2 9.511622-6 9.485918-2 1.071589-5 9.363116-2 1.171921-5 9.924583-2 1.291464-5 1.137079-1 1.423446-5 1.384158-1 1.570000-5 1.766759-1 1.738757-5 2.348821-1 1.918260-5 3.135172-1 2.137833-5 4.339956-1 2.150693-5 4.415789-1 2.161281-5 2.533945+0 2.166574-5 4.261297+0 2.171868-5 6.878764+0 2.174771-5 8.838704+0 2.177162-5 1.458365+1 2.185477-5 3.580910+1 2.190830-5 5.544470+1 2.196852-5 8.613552+1 2.202328-5 1.208711+2 2.216750-5 2.208501+2 2.223514-5 2.487817+2 2.228842-5 2.523814+2 2.234144-5 2.381992+2 2.239751-5 2.064356+2 2.255065-5 9.071273+1 2.260418-5 5.854324+1 2.265770-5 3.509851+1 2.271123-5 1.954402+1 2.280035-5 3.769410+0 2.281829-5 5.276919-1 2.357054-5 5.837150-1 2.368657-5 8.437909-1 2.374459-5 1.055961+0 2.380260-5 1.375431+0 2.386062-5 1.810735+0 2.403467-5 3.430885+0 2.410079-5 3.827781+0 2.416011-5 4.299848+0 2.427875-5 4.721164+0 2.433807-5 5.113476+0 2.440805-5 5.991087+0 2.447982-5 7.329943+0 2.457869-5 9.418113+0 2.464819-5 1.042192+1 2.470296-5 1.076307+1 2.476073-5 1.053946+1 2.487548-5 8.944487+0 2.497276-5 7.453305+0 2.503834-5 6.811178+0 2.508984-5 6.611308+0 2.515306-5 6.625273+0 2.521926-5 6.771188+0 2.534370-5 1.727287+1 2.541321-5 2.737979+1 2.547575-5 4.088101+1 2.554425-5 6.098233+1 2.572137-5 1.220885+2 2.579612-5 1.370712+2 2.585572-5 1.397448+2 2.591764-5 1.324229+2 2.598392-5 1.151089+2 2.615766-5 5.443780+1 2.621642-5 3.790936+1 2.627470-5 2.561207+1 2.633737-5 1.686650+1 2.646074-5 6.257639+0 2.728690-5 5.847150+0 2.755158-5 6.011583+0 2.780092-5 6.608200+0 2.809057-5 7.709149+0 2.830728-5 9.171461+0 2.843113-5 9.964963+0 2.849340-5 1.010129+1 2.860999-5 9.747820+0 2.882046-5 8.630286+0 2.891075-5 8.383497+0 2.969166-5 8.220869+0 3.059301-5 7.581189+0 3.313661-5 6.571887+0 3.610608-5 5.832441+0 3.935501-5 5.357200+0 4.352893-5 5.070257+0 4.504302-5 5.116981+0 4.621783-5 5.040128+0 5.382237-5 5.257410+0 8.522000-5 7.130564+0 1.107120-4 8.107277+0 1.240829-4 8.366641+0 1.246967-4 9.152289+0 1.253106-4 2.626151+1 1.256175-4 4.039410+1 1.259244-4 6.142179+1 1.262697-4 9.403628+1 1.270874-4 1.848895+2 1.274687-4 2.140377+2 1.278046-4 2.200236+2 1.281140-4 2.089128+2 1.284449-4 1.812981+2 1.289937-4 1.201250+2 1.293006-4 9.180341+1 1.296171-4 6.928050+1 1.299243-4 5.821525+1 1.302444-4 5.859948+1 1.305897-4 7.066671+1 1.308896-4 8.569630+1 1.314279-4 1.256952+2 1.318588-4 1.472674+2 1.321487-4 1.521999+2 1.324918-4 1.451079+2 1.328695-4 1.248701+2 1.337551-4 6.077539+1 1.340582-4 4.308906+1 1.343662-4 2.976480+1 1.346797-4 2.072125+1 1.353041-4 9.540198+0 1.368441-4 9.857050+0 1.386592-4 1.073817+1 1.485063-4 1.245765+1 1.531087-4 1.255918+1 1.795613-4 1.007455+1 1.966814-4 9.221845+0 2.209000-4 8.836904+0 2.404127-4 8.853005+0 2.430000-4 9.179702+0 2.465326-4 1.029384+1 2.487277-4 1.026168+1 2.521536-4 1.001370+1 2.701625-4 1.020088+1 2.779616-4 1.056275+1 3.355863-4 1.096840+1 3.427530-4 1.146778+1 4.335421-4 1.143671+1 6.219422-4 1.023878+1 9.800765-4 7.612859+0 1.051020-3 7.210825+0 1.056194-3 1.220146+1 1.058781-3 1.635507+1 1.061383-3 2.271349+1 1.064341-3 3.288175+1 1.071435-3 6.288521+1 1.074653-3 7.245694+1 1.077416-3 7.558678+1 1.079867-3 7.537861+1 1.088078-3 5.935586+1 1.090493-3 5.682164+1 1.092962-3 5.690455+1 1.101004-3 6.660954+1 1.106496-3 6.625123+1 1.109478-3 6.153574+1 1.117153-3 4.375786+1 1.119621-3 3.915005+1 1.122251-3 3.559496+1 1.124809-3 3.333142+1 1.130111-3 3.045876+1 1.227328-3 3.122313+1 1.318257-3 2.962912+1 1.378542-3 2.820730+1 1.389771-3 2.910105+1 1.407958-3 3.156294+1 1.499415-3 2.896368+1 1.536892-3 2.989577+1 1.682456-3 2.675152+1 1.726573-3 2.683070+1 2.032942-3 2.179362+1 2.347183-3 1.798156+1 2.711155-3 1.468396+1 3.112612-3 1.204702+1 3.502689-3 1.012163+1 4.008018-3 8.271375+0 4.597269-3 6.706234+0 5.231447-3 5.486698+0 5.988002-3 4.433983+0 6.544134-3 3.860724+0 6.589111-3 4.033302+0 6.611025-3 4.299041+0 6.634914-3 4.833477+0 6.659548-3 5.683951+0 6.723132-3 8.509426+0 6.757950-3 9.536857+0 6.792520-3 9.976013+0 6.907391-3 9.925159+0 7.164362-3 9.422569+0 7.232856-3 9.685581+0 7.302595-3 1.083957+1 7.353973-3 1.170951+1 7.421108-3 1.206203+1 7.622362-3 1.184299+1 7.768857-3 1.278299+1 7.943410-3 1.259550+1 9.088841-3 1.022155+1 1.041741-2 8.216734+0 1.195950-2 6.561349+0 1.370695-2 5.238615+0 1.560046-2 4.215601+0 1.752354-2 3.458787+0 1.998613-2 2.759399+0 2.233283-2 2.275053+0 2.514775-2 1.848330+0 2.817274-2 1.512601+0 3.160856-2 1.232690+0 3.547496-2 1.002471+0 4.004775-2 8.059549-1 4.535038-2 6.435878-1 4.580942-2 6.403105-1 4.601943-2 6.664346-1 4.616878-2 7.225826-1 4.629748-2 8.166057-1 4.641195-2 9.497232-1 4.653808-2 1.159773+0 4.667705-2 1.464300+0 4.712811-2 2.624918+0 4.734481-2 3.001227+0 4.760822-2 3.215439+0 4.815000-2 3.254625+0 5.576484-2 2.570188+0 6.243475-2 2.136314+0 7.114884-2 1.714219+0 8.016177-2 1.396363+0 9.084971-2 1.123888+0 1.023000-1 9.119475-1 1.164860-1 7.243939-1 1.281489-1 6.106081-1 1.439502-1 4.959426-1 1.599794-1 4.102139-1 1.783977-1 3.375354-1 1.988941-1 2.777128-1 2.237967-1 2.251831-1 2.491435-1 1.865276-1 2.773593-1 1.548054-1 3.054097-1 1.313153-1 3.426753-1 1.083358-1 3.808740-1 9.124335-2 4.299021-1 7.541594-2 4.842045-1 6.296621-2 5.448162-1 5.308702-2 6.136147-1 4.506203-2 6.839116-1 3.911481-2 7.795562-1 3.334907-2 9.058688-1 2.809141-2 1.070165+0 2.350488-2 1.286622+0 1.918335-2 1.546860+0 1.565637-2 1.859734+0 1.277785-2 2.235892+0 1.042856-2 2.688134+0 8.511199-3 3.231848+0 6.946360-3 3.885536+0 5.669227-3 4.671441+0 4.626903-3 5.616308+0 3.776217-3 6.752287+0 3.081936-3 8.118035+0 2.515302-3 9.760024+0 2.052847-3 1.000000+1 4.209989-3 1 62000 7 0 1.503500+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-6.143808+1 1.714730-6-5.896127+1 1.953782-6-5.541257+1 2.048000-6-5.148163+1 2.097731-6-4.671230+1 2.120791-6-4.214189+1 2.132606-6-3.776957+1 2.146216-6-2.913171+1 2.152130-6-2.492292+1 2.158536-6-2.111747+1 2.162643-6-1.974546+1 2.165518-6-1.970880+1 2.168557-6-2.046416+1 2.171760-6-2.250212+1 2.175539-6-2.654760+1 2.178414-6-3.104247+1 2.182798-6-3.899483+1 2.193363-6-6.188930+1 2.199564-6-5.034239+1 2.205524-6-4.369362+1 2.209297-6-4.184731+1 2.214554-6-4.191764+1 2.220139-6-4.463574+1 2.242771-6-6.173948+1 2.273365-6-4.270897+1 2.280340-6-3.621801+1 2.284213-6-3.057726+1 2.292700-6-2.101250+1 2.300028-6-1.102854+1 2.304636-6-5.814789+0 2.304987-6-5.306360+0 2.305646-6-4.613343+0 2.306798-6-3.687407+0 2.310956-6-1.255476+0 2.312185-6-1.057848+0 2.313106-6-1.136656+0 2.314489-6-1.534611+0 2.315871-6-2.157185+0 2.316573-6-2.573786+0 2.317802-6-3.658366+0 2.318723-6-4.701262+0 2.319415-6-5.610412+0 2.320451-6-7.192334+0 2.321488-6-9.127817+0 2.323946-6-1.439283+1 2.325328-6-1.782750+1 2.326883-6-2.248378+1 2.331890-6-4.012637+1 2.334220-6-5.052610+1 2.337074-6-6.185886+1 2.338746-6-5.357520+1 2.345111-6-2.612360+1 2.349926-6-8.970394+0 2.350584-6-6.852147+0 2.351736-6-3.595699+0 2.352600-6-1.400197+0 2.353896-6 1.604344+0 2.355192-6 4.426875+0 2.355894-6 5.859277+0 2.357123-6 7.935928+0 2.358044-6 9.245917+0 2.359427-6 1.084708+1 2.360809-6 1.195245+1 2.363267-6 1.314433+1 2.364846-6 1.341337+1 2.365636-6 1.333013+1 2.369235-6 1.158054+1 2.371341-6 1.008883+1 2.372746-6 8.335361+0 2.375203-6 5.894889+0 2.376432-6 4.576225+0 2.377046-6 3.822325+0 2.377661-6 2.879220+0 2.383278-6-4.241928+0 2.383980-6-5.261376+0 2.385209-6-6.714579+0 2.391704-6-1.341092+1 2.394162-6-1.649545+1 2.395247-6-1.835131+1 2.398909-6-2.224054+1 2.403280-6-2.556014+1 2.411954-6-3.031164+1 2.426187-6-3.548803+1 2.451157-6-4.099961+1 2.488297-6-4.563751+1 2.556987-6-5.005996+1 2.710284-6-5.417348+1 3.090590-6-5.741104+1 3.673622-6-6.033499+1 3.764963-6-6.196486+1 3.808836-6-5.785646+1 3.843465-6-5.530105+1 3.962315-6-5.812593+1 4.328750-6-5.986947+1 4.410085-6-5.869324+1 4.610255-6-5.989869+1 4.819974-6-6.198133+1 4.895348-6-6.071535+1 4.919466-6-6.185942+1 4.972359-6-5.574742+1 5.012948-6-5.560828+1 5.122904-6-5.877636+1 5.277101-6-6.154337+1 5.368078-6-5.548711+1 5.539328-6-5.808652+1 8.881950-6-6.035371+1 1.365000-5-6.225792+1 1.738757-5-5.821795+1 1.906187-5-5.335345+1 1.990831-5-4.832978+1 2.042211-5-4.306055+1 2.076718-5-3.747181+1 2.101366-5-3.150710+1 2.114970-5-2.698928+1 2.125131-5-2.271989+1 2.135293-5-1.731312+1 2.142914-5-1.213871+1 2.145454-5-1.010556+1 2.148074-5-7.781272+0 2.149384-5-6.500506+0 2.155987-5 8.493338-1 2.158634-5 4.032070+0 2.159957-5 5.755158+0 2.163928-5 1.160230+1 2.166574-5 1.602546+1 2.170545-5 2.368052+1 2.173319-5 3.044248+1 2.174771-5 3.519985+1 2.177162-5 4.249678+1 2.192670-5 7.717567+1 2.198023-5 8.435596+1 2.202328-5 8.450963+1 2.206260-5 7.843441+1 2.209644-5 6.832793+1 2.211645-5 6.010970+1 2.213574-5 5.019607+1 2.215906-5 3.499771+1 2.217172-5 2.565880+1 2.217929-5 1.887189+1 2.220438-5-1.395049+0 2.221065-5-6.643884+0 2.221889-5-1.389959+1 2.222749-5-2.235373+1 2.223195-5-2.765188+1 2.224374-5-3.925762+1 2.227080-5-6.444947+1 2.228321-5-5.096030+1 2.228842-5-4.497224+1 2.233653-5 6.039401-1 2.233820-5 2.543240+0 2.234144-5 5.782188+0 2.234752-5 1.127936+1 2.235284-5 1.575460+1 2.236214-5 2.312414+1 2.239006-5 4.425476+1 2.239751-5 4.992998+1 2.241605-5 6.093143+1 2.244714-5 7.467488+1 2.248130-5 8.476955+1 2.251652-5 9.017503+1 2.254425-5 9.025967+1 2.259748-5 8.176654+1 2.265770-5 6.530735+1 2.273225-5 4.340925+1 2.280035-5 2.692615+1 2.281603-5 2.209853+1 2.282070-5 2.004809+1 2.283124-5 1.672621+1 2.285144-5 1.180075+1 2.286185-5 9.629062+0 2.287747-5 6.678943+0 2.289309-5 4.015650+0 2.290697-5 1.841337+0 2.293126-5-1.610448+0 2.294948-5-3.955702+0 2.297681-5-7.155030+0 2.300414-5-1.003759+1 2.305967-5-1.513221+1 2.314296-5-2.137675+1 2.325402-5-2.797154+1 2.339284-5-3.448446+1 2.368657-5-4.524603+1 2.397665-5-5.355901+1 2.441414-5-6.332812+1 2.457869-5-6.594376+1 2.484422-5-6.494950+1 2.499267-5-5.999025+1 2.513939-5-5.080248+1 2.520563-5-4.437158+1 2.522503-5-4.123438+1 2.534370-5-2.743217+1 2.542050-5-1.751861+1 2.547155-5-1.218638+1 2.547575-5-1.161428+1 2.548362-5-1.088969+1 2.549739-5-1.001817+1 2.550772-5-9.567854+0 2.554425-5-8.413166+0 2.555497-5-8.462267+0 2.556503-5-8.772420+0 2.558329-5-9.842256+0 2.559986-5-1.131823+1 2.561436-5-1.298730+1 2.563815-5-1.649599+1 2.566380-5-2.142963+1 2.569023-5-2.800829+1 2.571045-5-3.456225+1 2.572137-5-3.929706+1 2.577670-5-6.086606+1 2.579335-5-6.943366+1 2.584665-5-4.517960+1 2.585572-5-4.004903+1 2.591150-5-1.503381+1 2.591764-5-1.196442+1 2.592522-5-8.746600+0 2.593186-5-6.147372+0 2.594347-5-1.894128+0 2.598392-5 1.209664+1 2.599478-5 1.532754+1 2.601450-5 2.022330+1 2.603240-5 2.389262+1 2.606176-5 2.862543+1 2.609473-5 3.222518+1 2.612226-5 3.383753+1 2.614881-5 3.395070+1 2.620927-5 2.979062+1 2.626924-5 2.262803+1 2.634508-5 1.203432+1 2.635954-5 1.022026+1 2.641014-5 4.663952+0 2.643544-5 1.773331+0 2.644809-5 1.425131-1 2.645441-5-7.834289-1 2.646742-5-3.159804+0 2.647744-5-4.543643+0 2.648747-5-5.737061+0 2.651292-5-8.306413+0 2.654139-5-1.069673+1 2.659437-5-1.432326+1 2.667884-5-1.874133+1 2.680412-5-2.350103+1 2.700858-5-2.886627+1 2.728690-5-3.383819+1 2.774356-5-3.951047+1 2.825819-5-4.301997+1 2.877388-5-4.186619+1 2.961647-5-4.392268+1 3.412912-5-4.746889+1 4.688876-5-5.074787+1 9.316910-5-5.521634+1 1.038682-4-5.835973+1 1.115302-4-5.262195+1 1.157836-4-4.670282+1 1.184482-4-4.050604+1 1.202573-4-3.394891+1 1.214856-4-2.740531+1 1.223429-4-2.105237+1 1.229172-4-1.544882+1 1.231904-4-1.222659+1 1.234135-4-9.240426+0 1.235809-4-6.742495+0 1.237064-4-4.694464+0 1.238005-4-3.043623+0 1.239417-4-3.476660-1 1.240829-4 2.703428+0 1.242356-4 6.388469+0 1.243883-4 1.052606+1 1.245232-4 1.481154+1 1.246100-4 1.808620+1 1.246751-4 2.109125+1 1.247159-4 2.365710+1 1.253106-4 4.780627+1 1.256559-4 6.374805+1 1.260300-4 7.766528+1 1.262697-4 8.243014+1 1.264597-4 8.155120+1 1.266826-4 7.492665+1 1.268452-4 6.608779+1 1.270227-4 5.287772+1 1.271360-4 4.195454+1 1.271713-4 3.745155+1 1.273512-4 1.715402+1 1.274186-4 8.600220+0 1.274388-4 5.728281+0 1.274490-4 4.177014+0 1.274687-4 7.107440-1 1.274872-4-2.119417+0 1.275221-4-7.006162+0 1.276974-4-3.044281+1 1.277633-4-4.063525+1 1.278212-4-5.003978+1 1.278776-4-5.771922+1 1.280568-4-3.410640+1 1.280963-4-2.784719+1 1.281618-4-1.959184+1 1.281891-4-1.648323+1 1.283799-4 3.759133+0 1.283894-4 4.949690+0 1.284083-4 6.925281+0 1.284449-4 1.026814+1 1.285114-4 1.540569+1 1.285980-4 2.082428+1 1.286908-4 2.530711+1 1.287951-4 2.886764+1 1.288819-4 3.062557+1 1.289657-4 3.108452+1 1.291855-4 2.821497+1 1.292719-4 2.599263+1 1.294925-4 1.701381+1 1.295500-4 1.412617+1 1.295932-4 1.142528+1 1.296171-4 9.343603+0 1.296543-4 6.782464+0 1.297844-4-9.485140-1 1.298494-4-5.020316+0 1.298820-4-7.298160+0 1.299063-4-9.269679+0 1.299243-4-1.109302+1 1.299434-4-1.264527+1 1.300105-4-1.723681+1 1.302091-4-2.968529+1 1.302811-4-3.517090+1 1.303803-4-4.050014+1 1.306513-4-5.231303+1 1.308332-4-5.787023+1 1.309458-4-5.444138+1 1.311283-4-5.396870+1 1.313197-4-5.776887+1 1.314279-4-5.336164+1 1.316891-4-3.912274+1 1.317854-4-3.231736+1 1.318588-4-2.541693+1 1.320455-4-1.052970+1 1.320921-4-6.523749+0 1.321155-4-4.343085+0 1.321271-4-3.161400+0 1.321487-4-6.151406-1 1.324570-4 2.615843+1 1.324918-4 2.958566+1 1.326101-4 3.848600+1 1.329262-4 5.816123+1 1.331560-4 6.698441+1 1.334228-4 7.238446+1 1.336672-4 7.319294+1 1.340326-4 6.651823+1 1.343662-4 5.656863+1 1.347469-4 4.429869+1 1.352608-4 3.009066+1 1.353906-4 2.529000+1 1.355914-4 2.031078+1 1.357553-4 1.705963+1 1.360626-4 1.205022+1 1.362470-4 9.508449+0 1.363993-4 7.611393+0 1.366191-4 5.139578+0 1.368441-4 2.868077+0 1.371572-4 7.809680-2 1.374183-4-1.955257+0 1.376794-4-3.766557+0 1.379848-4-5.653145+0 1.382834-4-7.288549+0 1.386592-4-9.106664+0 1.394575-4-1.235362+1 1.401894-4-1.486493+1 1.415771-4-1.868478+1 1.432437-4-2.198027+1 1.455321-4-2.503938+1 1.485063-4-2.744521+1 1.531087-4-2.943933+1 1.633579-4-3.162801+1 1.966814-4-3.514563+1 2.418577-4-3.807723+1 2.521536-4-3.824098+1 3.020821-4-3.626196+1 3.525445-4-3.509002+1 4.680718-4-3.215466+1 6.219422-4-3.043875+1 7.733202-4-3.066536+1 8.874114-4-3.240511+1 9.605801-4-3.485729+1 1.020352-3-3.881711+1 1.051020-3-4.292661+1 1.066740-3-4.727553+1 1.083661-3-5.448630+1 1.092962-3-5.421321+1 1.122251-3-4.712805+1 1.141293-3-4.178544+1 1.173132-3-3.703412+1 1.251287-3-2.973336+1 1.318257-3-2.567923+1 1.366395-3-2.432447+1 1.395612-3-2.500802+1 1.412059-3-2.492780+1 1.446399-3-2.175115+1 1.488249-3-1.990003+1 1.536892-3-1.905432+1 1.573915-3-1.709103+1 1.633151-3-1.527118+1 1.682456-3-1.457312+1 1.711759-3-1.402732+1 1.759718-3-1.243208+1 1.846707-3-1.068559+1 1.978246-3-8.858471+0 2.134798-3-7.398241+0 2.280998-3-6.434507+0 2.486709-3-5.510284+0 2.711155-3-4.903074+0 3.022126-3-4.460987+0 3.348920-3-4.288896+0 3.845918-3-4.376673+0 4.390778-3-4.741987+0 5.016325-3-5.429730+0 5.583095-3-6.370076+0 5.988002-3-7.404849+0 6.268306-3-8.536341+0 6.442193-3-9.692612+0 6.544134-3-1.085932+1 6.611025-3-1.227337+1 6.680786-3-1.408368+1 6.723132-3-1.424484+1 6.774437-3-1.318537+1 6.844641-3-1.147964+1 6.907391-3-1.060797+1 7.009293-3-9.909359+0 7.132402-3-9.692798+0 7.212511-3-1.005203+1 7.302595-3-1.068826+1 7.353973-3-1.038703+1 7.472285-3-8.806872+0 7.557069-3-8.262406+0 7.698190-3-8.036659+0 7.768857-3-7.410271+0 7.867233-3-6.399462+0 8.001081-3-5.508564+0 8.204450-3-4.580068+0 8.447316-3-3.774307+0 8.728961-3-3.064074+0 9.088841-3-2.388637+0 9.465825-3-1.862594+0 9.801971-3-1.500050+0 1.014852-2-1.200461+0 1.041741-2-1.011385+0 1.076180-2-8.143994-1 1.113974-2-6.427348-1 1.155821-2-4.927788-1 1.195950-2-3.838223-1 1.233304-2-3.015419-1 1.264234-2-2.457019-1 1.312838-2-1.781844-1 1.345862-2-1.453594-1 1.370695-2-1.260984-1 1.399824-2-1.086506-1 1.437462-2-9.134134-2 1.469515-2-8.402097-2 1.527786-2-8.047149-2 1.584893-2-8.540716-2 1.636131-2-9.342584-2 1.692145-2-1.108516-1 1.752354-2-1.342474-1 1.865493-2-1.886925-1 2.151225-2-3.533740-1 3.414840-2-1.146101+0 3.800918-2-1.443441+0 4.086934-2-1.743348+0 4.291194-2-2.061063+0 4.419729-2-2.367019+0 4.512061-2-2.712779+0 4.570438-2-3.076176+0 4.612045-2-3.534162+0 4.667705-2-4.351074+0 4.689759-2-4.432701+0 4.712811-2-4.246086+0 4.770005-2-3.310836+0 4.798214-2-2.961693+0 4.843928-2-2.584106+0 4.910092-2-2.223618+0 4.999969-2-1.890307+0 5.128061-2-1.558611+0 5.281175-2-1.271046+0 5.442063-2-1.058241+0 5.636849-2-8.640056-1 5.824658-2-7.248043-1 6.086976-2-5.774272-1 6.243475-2-5.068143-1 6.404115-2-4.459501-1 6.574331-2-3.925223-1 6.770943-2-3.411954-1 6.970921-2-2.980543-1 7.296183-2-2.455662-1 7.681152-2-2.028019-1 8.016177-2-1.781037-1 8.257473-2-1.645170-1 8.849610-2-1.443402-1 9.309390-2-1.377248-1 1.000000-1-1.383997-1 1.083927-1-1.472615-1 1.233155-1-1.739295-1 1.662229-1-2.587839-1 2.060437-1-3.182689-1 2.580894-1-3.712617-1 3.289937-1-4.156912-1 4.472100-1-4.549559-1 6.839116-1-4.860615-1 1.349217+0-5.042224-1 4.068655+0-5.104189-1 1.000000+1-5.109336-1 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.879079-1 1.064303-6 2.552511-1 1.126775-6 3.414666-1 1.156592-6 3.910889-1 1.178954-6 4.329269-1 1.249107-6 5.927134-1 1.292045-6 7.170518-1 1.330791-6 8.519823-1 1.387125-6 1.094298+0 1.414011-6 1.232376+0 1.434176-6 1.348469+0 1.464423-6 1.544478+0 1.509386-6 1.889311+0 1.546176-6 2.235017+0 1.568249-6 2.475954+0 1.605964-6 2.955538+0 1.641358-6 3.500237+0 1.674575-6 4.117715+0 1.690409-6 4.458192+0 1.721087-6 5.211643+0 1.749848-6 6.052306+0 1.776811-6 6.990861+0 1.802089-6 8.034731+0 1.825788-6 9.191436+0 1.848005-6 1.046865+1 1.868833-6 1.187419+1 1.888360-6 1.341593+1 1.906666-6 1.510185+1 1.923828-6 1.693990+1 1.939918-6 1.893807+1 1.955002-6 2.110427+1 1.969143-6 2.344635+1 1.982401-6 2.597204+1 1.994829-6 2.868902+1 2.006481-6 3.160508+1 2.017405-6 3.472791+1 2.027646-6 3.806427+1 2.037247-6 4.161957+1 2.048000-6 4.619209+1 2.054686-6 4.940974+1 2.062597-6 5.365842+1 2.070014-6 5.815244+1 2.076967-6 6.289858+1 2.083485-6 6.790352+1 2.089596-6 7.317385+1 2.095325-6 7.871613+1 2.100696-6 8.453688+1 2.105731-6 9.064304+1 2.110452-6 9.704280+1 2.114878-6 1.037465+2 2.123175-6 1.186441+2 2.130436-6 1.350696+2 2.136789-6 1.532180+2 2.142348-6 1.732362+2 2.147212-6 1.951335+2 2.151468-6 2.187315+2 2.155192-6 2.436727+2 2.158451-6 2.694757+2 2.161302-6 2.956066+2 2.163797-6 3.215461+2 2.167890-6 3.711047+2 2.173740-6 4.590842+2 2.182855-6 6.412725+2 2.186630-6 7.329000+2 2.189314-6 8.031928+2 2.191999-6 8.771071+2 2.197368-6 1.032461+3 2.198039-6 1.052268+3 2.202737-6 1.190359+3 2.204582-6 1.243252+3 2.208106-6 1.339534+3 2.209951-6 1.386497+3 2.211713-6 1.428455+3 2.213474-6 1.467146+3 2.215823-6 1.512892+3 2.218088-6 1.549850+3 2.220186-6 1.577119+3 2.221947-6 1.594460+3 2.224212-6 1.608856+3 2.227232-6 1.613609+3 2.229749-6 1.604653+3 2.230683-6 1.598329+3 2.232817-6 1.577891+3 2.235199-6 1.545458+3 2.237089-6 1.512851+3 2.239698-6 1.458560+3 2.241948-6 1.403880+3 2.243540-6 1.361292+3 2.245856-6 1.294386+3 2.247557-6 1.242031+3 2.250072-6 1.160735+3 2.252572-6 1.076701+3 2.254258-6 1.018937+3 2.256426-6 9.442016+2 2.258774-6 8.635917+2 2.260662-6 7.998017+2 2.261794-6 7.621836+2 2.264479-6 6.756522+2 2.266912-6 6.012283+2 2.267499-6 5.839238+2 2.270645-6 4.961280+2 2.272532-6 4.477423+2 2.278237-6 3.230349+2 2.281619-6 2.651347+2 2.283270-6 2.412704+2 2.284612-6 2.240051+2 2.286374-6 2.042276+2 2.287922-6 1.895295+2 2.289207-6 1.792250+2 2.290408-6 1.711416+2 2.291575-6 1.647020+2 2.292713-6 1.597680+2 2.293667-6 1.566538+2 2.294291-6 1.551188+2 2.294906-6 1.539969+2 2.295511-6 1.532700+2 2.296702-6 1.529352+2 2.297855-6 1.540038+2 2.298973-6 1.563557+2 2.301138-6 1.646517+2 2.309259-6 2.425249+2 2.312304-6 2.928739+2 2.314969-6 3.477694+2 2.321125-6 5.189047+2 2.325250-6 6.735819+2 2.327343-6 7.660370+2 2.330089-6 9.028908+2 2.333373-6 1.091086+3 2.335713-6 1.242502+3 2.337539-6 1.370938+3 2.339365-6 1.508578+3 2.342237-6 1.743821+3 2.345109-6 2.001738+3 2.351212-6 2.620238+3 2.352558-6 2.768166+3 2.355587-6 3.113411+3 2.357629-6 3.354074+3 2.358807-6 3.495116+3 2.362340-6 3.924006+3 2.365257-6 4.279006+3 2.368084-6 4.617620+3 2.371001-6 4.954838+3 2.373828-6 5.263490+3 2.376341-6 5.517740+3 2.379118-6 5.771413+3 2.379931-6 5.839566+3 2.383297-6 6.088265+3 2.385925-6 6.241678+3 2.388944-6 6.369695+3 2.391475-6 6.435234+3 2.396983-6 6.442251+3 2.398554-6 6.410465+3 2.402907-6 6.247850+3 2.405641-6 6.093566+3 2.408292-6 5.909790+3 2.411209-6 5.673434+3 2.414036-6 5.415675+3 2.416549-6 5.167526+3 2.418972-6 4.915276+3 2.422652-6 4.516116+3 2.425523-6 4.197948+3 2.428754-6 3.840295+3 2.431267-6 3.566474+3 2.437011-6 2.969913+3 2.438986-6 2.777660+3 2.442755-6 2.432750+3 2.447781-6 2.022344+3 2.454316-6 1.576814+3 2.461531-6 1.195249+3 2.467253-6 9.646712+2 2.470097-6 8.702972+2 2.472930-6 7.879111+2 2.475752-6 7.161154+2 2.478563-6 6.536009+2 2.481363-6 5.991633+2 2.486942-6 5.101202+2 2.492476-6 4.418686+2 2.497968-6 3.887784+2 2.503416-6 3.467099+2 2.508822-6 3.127001+2 2.514186-6 2.846620+2 2.519508-6 2.611334+2 2.524788-6 2.410846+2 2.530027-6 2.237794+2 2.535225-6 2.086811+2 2.540382-6 1.953886+2 2.550617-6 1.729840+2 2.560691-6 1.549283+2 2.570608-6 1.400865+2 2.580370-6 1.276921+2 2.589980-6 1.172061+2 2.599439-6 1.082372+2 2.608751-6 1.004930+2 2.617917-6 9.375030+1 2.626940-6 8.783489+1 2.635822-6 8.260849+1 2.653308-6 7.373748+1 2.670248-6 6.657283+1 2.686658-6 6.068277+1 2.702555-6 5.577213+1 2.717956-6 5.162791+1 2.732876-6 4.809345+1 2.747329-6 4.505138+1 2.761331-6 4.240966+1 2.788459-6 3.798338+1 2.813891-6 3.449365+1 2.837734-6 3.168840+1 2.860087-6 2.939627+1 2.881043-6 2.749744+1 2.900689-6 2.590494+1 2.937525-6 2.330665+1 2.969757-6 2.136722+1 2.997960-6 1.988992+1 3.047315-6 1.767479+1 3.084331-6 1.626088+1 3.139855-6 1.445302+1 3.234705-6 1.196022+1 3.352680-6 9.579804+0 3.446578-6 7.974589+0 3.517002-6 6.818922+0 3.543411-6 6.378346+0 3.566519-6 5.980455+0 3.586738-6 5.617694+0 3.604430-6 5.284639+0 3.619910-6 4.977288+0 3.633456-6 4.692675+0 3.645308-6 4.428626+0 3.655679-6 4.183611+0 3.664753-6 3.956639+0 3.680633-6 3.526682+0 3.692543-6 3.175179+0 3.701476-6 2.897486+0 3.708175-6 2.684683+0 3.713200-6 2.525169+0 3.722621-6 2.236157+0 3.728273-6 2.077340+0 3.742903-6 1.779059+0 3.744765-6 1.759056+0 3.746627-6 1.744510+0 3.753509-6 1.746297+0 3.755803-6 1.769515+0 3.758097-6 1.805799+0 3.761539-6 1.887150+0 3.764120-6 1.971405+0 3.764980-6 2.004246+0 3.769904-6 2.241830+0 3.772750-6 2.420868+0 3.775557-6 2.630021+0 3.778725-6 2.907719+0 3.782863-6 3.341670+0 3.788953-6 4.138376+0 3.798121-6 5.723225+0 3.803939-6 6.981682+0 3.807571-6 7.867311+0 3.813055-6 9.346417+0 3.817672-6 1.071624+1 3.822061-6 1.211395+1 3.826334-6 1.355182+1 3.830362-6 1.496470+1 3.834270-6 1.637467+1 3.838059-6 1.776479+1 3.839866-6 1.843190+1 3.844512-6 2.014376+1 3.848831-6 2.171134+1 3.854093-6 2.355451+1 3.858449-6 2.499526+1 3.860118-6 2.552173+1 3.865835-6 2.719348+1 3.869410-6 2.812095+1 3.877031-6 2.974432+1 3.880225-6 3.026786+1 3.886323-6 3.099335+1 3.889561-6 3.122950+1 3.892499-6 3.135417+1 3.897320-6 3.137741+1 3.901256-6 3.123525+1 3.906423-6 3.084302+1 3.911405-6 3.026388+1 3.913066-6 3.003127+1 3.920882-6 2.871025+1 3.923488-6 2.819971+1 3.932779-6 2.617945+1 3.942070-6 2.398614+1 3.951361-6 2.178023+1 3.971180-6 1.754635+1 3.978622-6 1.621661+1 3.985832-6 1.507871+1 3.992816-6 1.411303+1 3.999582-6 1.329671+1 4.012692-6 1.200421+1 4.024982-6 1.106954+1 4.036504-6 1.037224+1 4.047305-6 9.832925+0 4.067559-6 9.023719+0 4.085281-6 8.456839+0 4.116294-6 7.650825+0 4.162813-6 6.676967+0 4.209362-6 5.809835+0 4.219723-6 5.614976+0 4.230084-6 5.414637+0 4.240444-6 5.206407+0 4.250805-6 4.988318+0 4.261166-6 4.759578+0 4.271527-6 4.521597+0 4.283917-6 4.231880+0 4.301810-6 3.839224+0 4.310313-6 3.685453+0 4.315598-6 3.608168+0 4.320512-6 3.552388+0 4.325425-6 3.514875+0 4.336738-6 3.512117+0 4.339381-6 3.530555+0 4.347309-6 3.633998+0 4.349951-6 3.685159+0 4.353915-6 3.777909+0 4.357879-6 3.889886+0 4.362834-6 4.056447+0 4.366880-6 4.213559+0 4.372191-6 4.446540+0 4.384305-6 5.072100+0 4.389590-6 5.374223+0 4.398839-6 5.920794+0 4.410730-6 6.605692+0 4.412052-6 6.677529+0 4.421301-6 7.140896+0 4.423943-6 7.258015+0 4.431871-6 7.560021+0 4.437931-6 7.735680+0 4.442880-6 7.841125+0 4.446592-6 7.897288+0 4.452160-6 7.944811+0 4.457728-6 7.949423+0 4.463582-6 7.910570+0 4.471509-6 7.793389+0 4.474152-6 7.739613+0 4.484722-6 7.463908+0 4.494935-6 7.128142+0 4.501575-6 6.886735+0 4.512170-6 6.483350+0 4.530409-6 5.791525+0 4.547929-6 5.186204+0 4.558606-6 4.861372+0 4.570317-6 4.550850+0 4.581511-6 4.304260+0 4.592705-6 4.112320+0 4.603899-6 3.979971+0 4.609496-6 3.937178+0 4.615093-6 3.910104+0 4.618378-6 3.901443+0 4.624127-6 3.898765+0 4.628438-6 3.906713+0 4.634906-6 3.933342+0 4.645024-6 4.004984+0 4.671064-6 4.272155+0 4.685236-6 4.398511+0 4.694169-6 4.449616+0 4.700389-6 4.468377+0 4.705053-6 4.472673+0 4.712050-6 4.463186+0 4.719048-6 4.435216+0 4.728119-6 4.374268+0 4.738229-6 4.280128+0 4.749353-6 4.156225+0 4.775048-6 3.861022+0 4.790371-6 3.717416+0 4.804763-6 3.614588+0 4.816160-6 3.551709+0 4.857621-6 3.368859+0 4.870157-6 3.305456+0 4.885578-6 3.217076+0 4.903276-6 3.104325+0 4.920975-6 2.984246+0 4.937835-6 2.866262+0 4.981919-6 2.544261+0 5.018883-6 2.248570+0 5.042594-6 2.039769+0 5.061167-6 1.863485+0 5.075566-6 1.718758+0 5.085479-6 1.615174+0 5.094280-6 1.520755+0 5.102060-6 1.435622+0 5.111276-6 1.333179+0 5.119077-6 1.245615+0 5.127232-6 1.153973+0 5.132404-6 1.096231+0 5.137753-6 1.037251+0 5.145210-6 9.571815-1 5.161520-6 7.997876-1 5.166763-6 7.581299-1 5.174632-6 7.088250-1 5.178558-6 6.919608-1 5.182490-6 6.815779-1 5.189949-6 6.841569-1 5.193679-6 6.988718-1 5.197408-6 7.244247-1 5.203410-6 7.924410-1 5.206410-6 8.409146-1 5.209411-6 9.004324-1 5.212039-6 9.625359-1 5.215981-6 1.075016+0 5.217952-6 1.140743+0 5.219924-6 1.213307+0 5.223551-6 1.366073+0 5.228216-6 1.602693+0 5.235767-6 2.095642+0 5.244684-6 2.884178+0 5.248968-6 3.354493+0 5.259433-6 4.789774+0 5.269650-6 6.629331+0 5.274772-6 7.728290+0 5.278867-6 8.694860+0 5.284102-6 1.004518+1 5.295379-6 1.338242+1 5.299022-6 1.457881+1 5.301338-6 1.536721+1 5.309093-6 1.814872+1 5.314245-6 2.009972+1 5.318587-6 2.179344+1 5.324218-6 2.403609+1 5.329236-6 2.605763+1 5.334100-6 2.801592+1 5.339595-6 3.020049+1 5.345248-6 3.238443+1 5.347605-6 3.326821+1 5.354842-6 3.584861+1 5.360608-6 3.772621+1 5.363115-6 3.848432+1 5.369181-6 4.015255+1 5.374005-6 4.129615+1 5.378034-6 4.211664+1 5.383804-6 4.306542+1 5.388046-6 4.358672+1 5.390693-6 4.383463+1 5.399440-6 4.422779+1 5.403600-6 4.418728+1 5.407570-6 4.401552+1 5.413154-6 4.356239+1 5.418095-6 4.296638+1 5.424447-6 4.195309+1 5.427674-6 4.134138+1 5.434934-6 3.975581+1 5.437354-6 3.917034+1 5.443808-6 3.749337+1 5.450261-6 3.568091+1 5.453488-6 3.473666+1 5.460748-6 3.255101+1 5.463168-6 3.181068+1 5.477688-6 2.736960+1 5.483335-6 2.568902+1 5.488981-6 2.405887+1 5.501888-6 2.058265+1 5.530334-6 1.442865+1 5.540158-6 1.279284+1 5.549368-6 1.146232+1 5.558002-6 1.037309+1 5.574192-6 8.672816+0 5.645021-6 4.148566+0 5.655646-6 3.737983+0 5.663614-6 3.491180+0 5.669590-6 3.348579+0 5.674072-6 3.269677+0 5.677434-6 3.228236+0 5.679955-6 3.208017+0 5.681846-6 3.199353+0 5.684683-6 3.197409+0 5.687956-6 3.212677+0 5.690393-6 3.237001+0 5.693174-6 3.279098+0 5.697346-6 3.372730+0 5.701518-6 3.505567+0 5.707643-6 3.777723+0 5.709611-6 3.885966+0 5.714041-6 4.168653+0 5.718391-6 4.501463+0 5.721173-6 4.744062+0 5.727170-6 5.349583+0 5.731391-6 5.845461+0 5.751483-6 9.017759+0 5.759083-6 1.055841+1 5.765860-6 1.207363+1 5.772580-6 1.369120+1 5.778942-6 1.530920+1 5.785435-6 1.702530+1 5.790899-6 1.850143+1 5.796672-6 2.007332+1 5.800592-6 2.113749+1 5.808061-6 2.313089+1 5.813948-6 2.464516+1 5.816385-6 2.525122+1 5.821948-6 2.657823+1 5.828385-6 2.799729+1 5.841509-6 3.040674+1 5.846895-6 3.117769+1 5.855508-6 3.211914+1 5.860320-6 3.248336+1 5.864914-6 3.272137+1 5.869507-6 3.285280+1 5.875632-6 3.286545+1 5.879569-6 3.277853+1 5.883506-6 3.262032+1 5.890506-6 3.217330+1 5.897506-6 3.153278+1 5.904505-6 3.072364+1 5.911505-6 2.977310+1 5.922004-6 2.814444+1 5.925504-6 2.756173+1 5.939503-6 2.512251+1 5.950777-6 2.312960+1 5.987288-6 1.744038+1 5.994594-6 1.653248+1 6.001899-6 1.571302+1 6.009205-6 1.498161+1 6.015036-6 1.445944+1 6.023783-6 1.377408+1 6.032530-6 1.319817+1 6.042784-6 1.264784+1 6.053038-6 1.221379+1 6.060343-6 1.196435+1 6.067649-6 1.175639+1 6.082712-6 1.142873+1 6.097684-6 1.119270+1 6.140492-6 1.065278+1 6.155315-6 1.044230+1 6.169926-6 1.021182+1 6.199149-6 9.700433+0 6.247402-6 8.851333+0 6.277345-6 8.398559+0 6.322261-6 7.851469+0 6.382148-6 7.301422+0 6.442296-6 6.871444+0 6.532518-6 6.360037+0 6.655342-6 5.812772+0 6.769449-6 5.399347+0 6.867255-6 5.095707+0 7.208681-6 4.228760+0 7.311401-6 3.987862+0 7.405100-6 3.745518+0 7.431271-6 3.667464+0 7.515370-6 3.398736+0 7.528865-6 3.362633+0 7.547306-6 3.323411+0 7.565747-6 3.299886+0 7.584187-6 3.295735+0 7.600346-6 3.309717+0 7.616504-6 3.340161+0 7.629755-6 3.376319+0 7.657949-6 3.477950+0 7.694831-6 3.624932+0 7.716624-6 3.695675+0 7.731381-6 3.729856+0 7.746138-6 3.750627+0 7.768593-6 3.755084+0 7.787033-6 3.735507+0 7.805474-6 3.698243+0 7.823915-6 3.647508+0 7.860796-6 3.523164+0 8.043548-6 2.937311+0 8.102943-6 2.774549+0 8.142539-6 2.684764+0 8.170952-6 2.636770+0 8.192000-6 2.612339+0 8.204527-6 2.602680+0 8.224671-6 2.594985+0 8.244816-6 2.596827+0 8.285106-6 2.626529+0 8.309894-6 2.658587+0 8.374250-6 2.759114+0 8.394034-6 2.784989+0 8.420359-6 2.808605+0 8.439673-6 2.816011+0 8.458987-6 2.814182+0 8.492741-6 2.789438+0 8.517912-6 2.755736+0 8.535314-6 2.726687+0 8.573188-6 2.653306+0 8.722434-6 2.358541+0 8.782164-6 2.264798+0 8.825784-6 2.212440+0 8.863466-6 2.180786+0 8.929458-6 2.147985+0 8.972524-6 2.126999+0 9.002030-6 2.105837+0 9.042928-6 2.064492+0 9.111291-6 1.976171+0 9.162892-6 1.913249+0 9.215921-6 1.862095+0 9.331337-6 1.774525+0 9.471311-6 1.662754+0 9.570325-6 1.581654+0 9.653162-6 1.509524+0 9.775677-6 1.396093+0 9.889940-6 1.299509+0 1.000000-5 1.217308+0 1.039439-5 9.292169-1 1.054522-5 8.252860-1 1.083927-5 6.356053-1 1.113173-5 4.655564-1 1.144215-5 3.093561-1 1.175482-5 1.809014-1 1.204794-5 8.962263-2 1.216186-5 6.257303-2 1.232275-5 3.438439-2 1.245156-5 2.017057-2 1.257635-5 1.409616-2 1.258925-5 1.392221-2 1.269724-5 1.595274-2 1.281435-5 2.540523-2 1.294022-5 4.435759-2 1.303771-5 6.571916-2 1.318257-5 1.088625-1 1.325094-5 1.342136-1 1.342300-5 2.084957-1 1.358443-5 2.550768-1 1.361786-5 2.557560-1 1.383258-5 2.014513-1 1.399329-5 1.462239-1 1.406990-5 1.226181-1 1.414412-5 1.018350-1 1.428792-5 6.769909-2 1.442272-5 4.359346-2 1.454910-5 2.876348-2 1.466759-5 2.243898-2 1.477867-5 2.397131-2 1.488280-5 3.264521-2 1.507805-5 6.873382-2 1.524890-5 1.238676-1 1.539839-5 1.932454-1 1.552920-5 2.725723-1 1.564365-5 3.579863-1 1.584893-5 5.510895-1 1.599417-5 7.236386-1 1.621950-5 1.060796+0 1.648531-5 1.576955+0 1.664722-5 1.968157+0 1.680912-5 2.432467+0 1.701151-5 3.125551+0 1.717908-5 3.808229+0 1.734809-5 4.615301+0 1.751682-5 5.557865+0 1.768554-5 6.658658+0 1.800000-5 9.223668+0 1.883649-5 2.115526+1 1.906705-5 2.652170+1 1.924087-5 3.146163+1 1.938707-5 3.635856+1 1.951775-5 4.143152+1 1.973214-5 5.152997+1 1.981968-5 5.641985+1 1.997288-5 6.627870+1 2.008778-5 7.496742+1 2.017396-5 8.235865+1 2.030322-5 9.511511+1 2.043248-5 1.102838+2 2.053306-5 1.241341+2 2.065463-5 1.438333+2 2.073423-5 1.588610+2 2.083482-5 1.807915+2 2.093540-5 2.067186+2 2.103598-5 2.376296+2 2.112484-5 2.701327+2 2.121546-5 3.096311+2 2.128744-5 3.467380+2 2.133774-5 3.763460+2 2.138803-5 4.095593+2 2.143832-5 4.470064+2 2.148881-5 4.896498+2 2.154904-5 5.485407+2 2.159280-5 5.980134+2 2.164480-5 6.658512+2 2.169680-5 7.459744+2 2.174879-5 8.418942+2 2.180079-5 9.584937+2 2.185278-5 1.102596+3 2.190478-5 1.283712+3 2.195678-5 1.514949+3 2.198277-5 1.654692+3 2.200877-5 1.814019+3 2.203477-5 1.996016+3 2.206077-5 2.204152+3 2.209655-5 2.540567+3 2.213234-5 2.945088+3 2.218682-5 3.719878+3 2.226853-5 5.336011+3 2.233663-5 7.198435+3 2.238398-5 8.810498+3 2.240472-5 9.602033+3 2.249120-5 1.344877+4 2.249808-5 1.379002+4 2.254628-5 1.629503+4 2.256522-5 1.732434+4 2.260826-5 1.971763+4 2.263838-5 2.140295+4 2.266456-5 2.284565+4 2.269303-5 2.436424+4 2.272374-5 2.590766+4 2.275100-5 2.716549+4 2.277948-5 2.833606+4 2.280389-5 2.920125+4 2.282517-5 2.983811+4 2.285745-5 3.057399+4 2.288573-5 3.097338+4 2.291944-5 3.113410+4 2.293748-5 3.107668+4 2.298871-5 3.037596+4 2.301335-5 2.976875+4 2.303848-5 2.898340+4 2.305959-5 2.820570+4 2.308560-5 2.711546+4 2.311413-5 2.577614+4 2.313598-5 2.466801+4 2.316051-5 2.335765+4 2.318100-5 2.222382+4 2.320734-5 2.073310+4 2.323488-5 1.915839+4 2.326243-5 1.759179+4 2.329342-5 1.586658+4 2.331752-5 1.456863+4 2.337735-5 1.157983+4 2.340184-5 1.047155+4 2.344858-5 8.561655+3 2.348980-5 7.107257+3 2.353604-5 5.725454+3 2.360701-5 4.072354+3 2.369218-5 2.704541+3 2.372057-5 2.366391+3 2.374896-5 2.075559+3 2.377735-5 1.825758+3 2.380573-5 1.611261+3 2.383412-5 1.426932+3 2.386251-5 1.268233+3 2.389785-5 1.100572+3 2.393348-5 9.590063+2 2.397607-5 8.186171+2 2.403285-5 6.686576+2 2.408166-5 5.651939+2 2.420021-5 3.800997+2 2.434839-5 2.321923+2 2.452622-5 1.282763+2 2.455585-5 1.164364+2 2.461581-5 9.624215+1 2.465870-5 8.458360+1 2.469155-5 7.707874+1 2.474038-5 6.804539+1 2.476404-5 6.452765+1 2.478260-5 6.214292+1 2.479682-5 6.053042+1 2.481105-5 5.910003+1 2.485651-5 5.569187+1 2.487925-5 5.461163+1 2.493229-5 5.352394+1 2.495313-5 5.357820+1 2.497302-5 5.384425+1 2.500049-5 5.450451+1 2.503801-5 5.582713+1 2.511832-5 5.939779+1 2.516519-5 6.133063+1 2.519921-5 6.242636+1 2.523734-5 6.322310+1 2.525392-5 6.340795+1 2.530864-5 6.328821+1 2.532861-5 6.297437+1 2.536674-5 6.202549+1 2.541281-5 6.041497+1 2.549992-5 5.706116+1 2.553532-5 5.612708+1 2.555936-5 5.583795+1 2.556881-5 5.582744+1 2.559179-5 5.610480+1 2.561089-5 5.672917+1 2.562198-5 5.728783+1 2.566192-5 6.080179+1 2.567852-5 6.311217+1 2.575275-5 8.244176+1 2.577147-5 9.044228+1 2.578067-5 9.496858+1 2.580006-5 1.059640+2 2.582074-5 1.201318+2 2.584211-5 1.378401+2 2.585714-5 1.524322+2 2.587086-5 1.674612+2 2.589487-5 1.981808+2 2.594663-5 2.874941+2 2.600729-5 4.443096+2 2.604123-5 5.634544+2 2.607617-5 7.147352+2 2.611006-5 8.930587+2 2.612609-5 9.893937+2 2.619405-5 1.493192+3 2.625548-5 2.094723+3 2.627101-5 2.269991+3 2.630358-5 2.667887+3 2.632681-5 2.976174+3 2.638217-5 3.786664+3 2.640918-5 4.215513+3 2.642994-5 4.557104+3 2.645689-5 5.012191+3 2.647837-5 5.381465+3 2.650582-5 5.856626+3 2.652188-5 6.134049+3 2.654824-5 6.583938+3 2.657665-5 7.055416+3 2.660593-5 7.518331+3 2.663282-5 7.915457+3 2.664069-5 8.025709+3 2.667223-5 8.435743+3 2.670140-5 8.764088+3 2.672605-5 8.998603+3 2.675436-5 9.215294+3 2.677490-5 9.335316+3 2.683972-5 9.499996+3 2.686471-5 9.476148+3 2.691052-5 9.311284+3 2.694244-5 9.110020+3 2.696112-5 8.962325+3 2.699176-5 8.677001+3 2.702616-5 8.301166+3 2.705490-5 7.950314+3 2.708261-5 7.587054+3 2.712072-5 7.058913+3 2.715823-5 6.520577+3 2.719908-5 5.929487+3 2.721294-5 5.730549+3 2.727731-5 4.836008+3 2.729962-5 4.542567+3 2.734222-5 4.013270+3 2.740581-5 3.309080+3 2.754457-5 2.152256+3 2.757353-5 1.972242+3 2.762013-5 1.720987+3 2.766673-5 1.511804+3 2.771183-5 1.343660+3 2.774657-5 1.233695+3 2.781441-5 1.058969+3 2.788682-5 9.174438+2 2.794455-5 8.288298+2 2.802206-5 7.338830+2 2.806931-5 6.860445+2 2.814517-5 6.209289+2 2.821281-5 5.721985+2 2.827911-5 5.310174+2 2.834608-5 4.947913+2 2.841475-5 4.623443+2 2.851018-5 4.239906+2 2.860346-5 3.930915+2 2.866245-5 3.766161+2 2.874427-5 3.574938+2 2.881251-5 3.447931+2 2.888508-5 3.344778+2 2.896902-5 3.265187+2 2.902184-5 3.235442+2 2.906146-5 3.222341+2 2.915061-5 3.216341+2 2.939395-5 3.260814+2 2.943597-5 3.262135+2 2.949851-5 3.255414+2 2.955360-5 3.240281+2 2.961766-5 3.212340+2 2.965952-5 3.188891+2 2.975801-5 3.122274+2 3.000506-5 2.940599+2 3.018990-5 2.831188+2 3.040287-5 2.735770+2 3.099167-5 2.525681+2 3.136222-5 2.395536+2 3.188336-5 2.243156+2 3.254925-5 2.087681+2 3.321134-5 1.959222+2 3.418025-5 1.806846+2 3.521466-5 1.677560+2 3.606176-5 1.589698+2 3.716311-5 1.495224+2 3.801894-5 1.430921+2 3.937222-5 1.343656+2 4.074167-5 1.270235+2 4.315191-5 1.166348+2 4.545738-5 1.085631+2 4.579140-5 1.077822+2 4.648017-5 1.067395+2 4.690480-5 1.058250+2 4.779954-5 1.033704+2 5.048196-5 9.834561+1 5.252158-5 9.539002+1 5.532665-5 9.238616+1 5.804302-5 9.056169+1 6.095369-5 8.949037+1 6.606934-5 8.896398+1 7.203852-5 8.957403+1 7.697129-5 9.031841+1 8.150000-5 9.064574+1 8.419560-5 9.059069+1 8.717400-5 9.018894+1 8.938199-5 8.961888+1 9.140257-5 8.887196+1 9.454205-5 8.718851+1 9.702297-5 8.531851+1 9.901876-5 8.345388+1 1.009050-4 8.137554+1 1.026495-4 7.919893+1 1.035354-4 7.799474+1 1.050855-4 7.570826+1 1.071519-4 7.231110+1 1.089732-4 6.910211+1 1.100000-4 6.768731+1 1.108350-4 6.772876+1 1.115861-4 6.922060+1 1.124110-4 7.223397+1 1.131979-4 7.599924+1 1.139484-4 8.023597+1 1.146681-4 8.493102+1 1.152000-4 8.886215+1 1.155783-4 9.192885+1 1.161449-4 9.699740+1 1.168396-4 1.040969+2 1.176162-4 1.133960+2 1.183451-4 1.237102+2 1.190290-4 1.351004+2 1.197103-4 1.484587+2 1.202733-4 1.613446+2 1.208488-4 1.766044+2 1.213777-4 1.928748+2 1.218830-4 2.108359+2 1.223567-4 2.302444+2 1.228800-4 2.551813+2 1.232902-4 2.778254+2 1.237022-4 3.038940+2 1.239734-4 3.231973+2 1.243165-4 3.504695+2 1.246381-4 3.794203+2 1.249396-4 4.100715+2 1.253322-4 4.561075+2 1.257358-4 5.124093+2 1.259687-4 5.500479+2 1.261870-4 5.894907+2 1.265837-4 6.739270+2 1.267636-4 7.189997+2 1.271009-4 8.184983+2 1.273961-4 9.265327+2 1.276544-4 1.042860+3 1.278804-4 1.166642+3 1.280782-4 1.296419+3 1.282512-4 1.430241+3 1.284026-4 1.565886+3 1.285351-4 1.701094+3 1.287669-4 1.981414+3 1.289408-4 2.234503+3 1.291690-4 2.632935+3 1.294624-4 3.275859+3 1.300549-4 5.124906+3 1.302740-4 6.019949+3 1.303898-4 6.540385+3 1.305634-4 7.380940+3 1.307371-4 8.289010+3 1.307951-4 8.606484+3 1.311155-4 1.045985+4 1.311555-4 1.070103+4 1.314358-4 1.241768+4 1.315460-4 1.309381+4 1.317562-4 1.435848+4 1.318713-4 1.502385+4 1.319945-4 1.570389+4 1.320951-4 1.622862+4 1.322272-4 1.686678+4 1.323545-4 1.741863+4 1.324770-4 1.788236+4 1.325821-4 1.822194+4 1.327373-4 1.861603+4 1.329250-4 1.890875+4 1.330670-4 1.898916+4 1.332625-4 1.889625+4 1.334082-4 1.867498+4 1.335254-4 1.840549+4 1.336727-4 1.795801+4 1.337931-4 1.750842+4 1.340248-4 1.645964+4 1.341744-4 1.567697+4 1.343020-4 1.496052+4 1.344153-4 1.429716+4 1.345609-4 1.342159+4 1.347463-4 1.229863+4 1.349598-4 1.104035+4 1.352802-4 9.336989+3 1.354821-4 8.438683+3 1.356131-4 7.946410+3 1.358021-4 7.375016+3 1.359209-4 7.103925+3 1.359814-4 6.992515+3 1.361463-4 6.781050+3 1.362050-4 6.737740+3 1.364843-4 6.751792+3 1.365959-4 6.851932+3 1.367073-4 6.999764+3 1.368472-4 7.246025+3 1.370154-4 7.617012+3 1.373256-4 8.449615+3 1.375957-4 9.241370+3 1.378046-4 9.837266+3 1.378895-4 1.006520+4 1.380783-4 1.052804+4 1.381739-4 1.073353+4 1.383693-4 1.108103+4 1.385403-4 1.129510+4 1.386137-4 1.135933+4 1.388632-4 1.144867+4 1.389736-4 1.142424+4 1.390795-4 1.136465+4 1.392462-4 1.120210+4 1.394283-4 1.093516+4 1.395767-4 1.065590+4 1.397254-4 1.032802+4 1.397749-4 1.020929+4 1.399641-4 9.719393+3 1.401039-4 9.327191+3 1.402991-4 8.750552+3 1.404161-4 8.394505+3 1.407479-4 7.377892+3 1.408163-4 7.171048+3 1.413533-4 5.653003+3 1.419847-4 4.223832+3 1.421688-4 3.888598+3 1.424400-4 3.458716+3 1.426156-4 3.217926+3 1.428782-4 2.907172+3 1.430435-4 2.738566+3 1.433946-4 2.439293+3 1.435947-4 2.298773+3 1.437934-4 2.176984+3 1.442329-4 1.957816+3 1.446481-4 1.798093+3 1.450076-4 1.686189+3 1.454039-4 1.583374+3 1.458538-4 1.485889+3 1.465271-4 1.367034+3 1.473759-4 1.249038+3 1.482438-4 1.154264+3 1.488969-4 1.096128+3 1.496000-4 1.043703+3 1.503752-4 9.958172+2 1.513505-4 9.471625+2 1.524186-4 9.051746+2 1.536000-4 8.689017+2 1.551150-4 8.334989+2 1.566500-4 8.063925+2 1.582500-4 7.843100+2 1.604178-4 7.605407+2 1.633795-4 7.346480+2 1.680887-4 7.004250+2 1.753456-4 6.576371+2 1.813957-4 6.281457+2 1.867455-4 6.060988+2 1.930000-4 5.839625+2 1.990369-4 5.657640+2 2.057214-4 5.492876+2 2.137225-4 5.332467+2 2.315728-4 5.064053+2 2.449416-4 4.861036+2 2.485978-4 4.800205+2 2.506992-4 4.785442+2 2.528393-4 4.795213+2 2.559707-4 4.822147+2 2.582023-4 4.808320+2 2.608231-4 4.790201+2 2.628911-4 4.817780+2 2.661014-4 4.909134+2 2.708699-4 5.021158+2 2.800399-4 5.146625+2 2.905747-4 5.264304+2 2.985383-4 5.403684+2 3.145148-4 5.615399+2 3.368992-4 5.833444+2 3.532855-4 5.944076+2 3.583294-4 6.005040+2 3.704674-4 6.228540+2 3.924190-4 6.504527+2 4.315191-4 6.862598+2 4.788023-4 7.196091+2 5.301210-4 7.456402+2 5.854637-4 7.625702+2 6.390992-4 7.690136+2 6.918310-4 7.660928+2 7.413102-4 7.531720+2 7.943282-4 7.308427+2 8.420008-4 7.029577+2 8.844710-4 6.705928+2 9.225714-4 6.343348+2 9.560334-4 5.952316+2 9.836154-4 5.561845+2 1.006713-3 5.175544+2 1.024398-3 4.835190+2 1.042126-3 4.446079+2 1.056209-3 4.093022+2 1.068824-3 3.734153+2 1.078111-3 3.438698+2 1.084395-3 3.233389+2 1.090969-3 3.088047+2 1.096161-3 3.196500+2 1.100914-3 3.755871+2 1.101488-3 3.871289+2 1.105757-3 5.180727+2 1.106911-3 5.693017+2 1.109622-3 7.196428+2 1.112477-3 9.232542+2 1.115048-3 1.140999+3 1.115404-3 1.173121+3 1.117965-3 1.412628+3 1.120576-3 1.659272+3 1.122845-3 1.860001+3 1.126193-3 2.106258+3 1.128727-3 2.237971+3 1.130633-3 2.302838+3 1.131796-3 2.328444+3 1.132971-3 2.344502+3 1.134104-3 2.351672+3 1.135435-3 2.351325+3 1.136418-3 2.346187+3 1.139552-3 2.313438+3 1.142857-3 2.274486+3 1.146059-3 2.250878+3 1.147986-3 2.244844+3 1.153034-3 2.236181+3 1.154906-3 2.224044+3 1.156132-3 2.210294+3 1.158064-3 2.176868+3 1.160555-3 2.109676+3 1.163668-3 1.987317+3 1.165503-3 1.898087+3 1.167420-3 1.795282+3 1.169726-3 1.664392+3 1.171714-3 1.550700+3 1.177093-3 1.273685+3 1.179792-3 1.164898+3 1.184031-3 1.042919+3 1.185316-3 1.017203+3 1.189144-3 9.668633+2 1.193898-3 9.454378+2 1.197458-3 9.477163+2 1.203066-3 9.663892+2 1.218693-3 1.036630+3 1.229408-3 1.081103+3 1.239459-3 1.119345+3 1.257197-3 1.180359+3 1.277777-3 1.242656+3 1.299421-3 1.299253+3 1.322056-3 1.348065+3 1.339811-3 1.376471+3 1.359350-3 1.398281+3 1.378471-3 1.411556+3 1.399201-3 1.417265+3 1.429878-3 1.409908+3 1.438437-3 1.411292+3 1.446491-3 1.419556+3 1.456171-3 1.440493+3 1.479617-3 1.515650+3 1.493776-3 1.556869+3 1.510450-3 1.595703+3 1.522299-3 1.615900+3 1.535969-3 1.632364+3 1.576472-3 1.662530+3 1.584204-3 1.671062+3 1.611110-3 1.714071+3 1.635266-3 1.753838+3 1.648310-3 1.771542+3 1.667294-3 1.791391+3 1.690776-3 1.807977+3 1.715576-3 1.817607+3 1.761642-3 1.823948+3 1.780558-3 1.840397+3 1.807400-3 1.877044+3 1.822564-3 1.894058+3 1.843565-3 1.910810+3 1.899017-3 1.937780+3 1.974553-3 1.958548+3 2.052048-3 1.969864+3 2.160444-3 1.972191+3 2.347183-3 1.957440+3 2.461784-3 1.941182+3 2.676086-3 1.899339+3 2.860751-3 1.855505+3 3.088072-3 1.798161+3 3.304006-3 1.740699+3 3.558546-3 1.671439+3 3.884215-3 1.585642+3 4.257276-3 1.484941+3 4.442233-3 1.436892+3 4.636161-3 1.387155+3 4.868443-3 1.329217+3 5.069907-3 1.279711+3 5.286111-3 1.226854+3 5.482404-3 1.179149+3 5.675734-3 1.132321+3 5.848557-3 1.089620+3 6.003915-3 1.050186+3 6.141745-3 1.013967+3 6.266412-3 9.796595+2 6.372454-3 9.487283+2 6.463822-3 9.201115+2 6.531306-3 8.972282+2 6.594763-3 8.737507+2 6.643804-3 8.537852+2 6.696774-3 8.295393+2 6.740214-3 8.064651+2 6.774833-3 7.851277+2 6.798664-3 7.686754+2 6.853896-3 7.266485+2 6.893154-3 6.988505+2 6.920884-3 6.847340+2 6.936789-3 6.798481+2 6.948357-3 6.780030+2 6.967910-3 6.783022+2 6.984919-3 6.819609+2 7.003894-3 6.893426+2 7.030266-3 7.039663+2 7.080109-3 7.372848+2 7.102156-3 7.513222+2 7.126735-3 7.651067+2 7.152918-3 7.772064+2 7.182687-3 7.877655+2 7.221051-3 7.970783+2 7.252661-3 8.018779+2 7.299154-3 8.053181+2 7.344666-3 8.051970+2 7.387556-3 8.020946+2 7.429169-3 7.963051+2 7.536444-3 7.745056+2 7.572699-3 7.702396+2 7.594772-3 7.699334+2 7.629741-3 7.736112+2 7.668245-3 7.829768+2 7.770078-3 8.159741+2 7.798819-3 8.228858+2 7.825876-3 8.276647+2 7.888863-3 8.334112+2 7.957460-3 8.370410+2 8.009089-3 8.433000+2 8.058261-3 8.537202+2 8.162684-3 8.814507+2 8.233589-3 8.959859+2 8.284173-3 9.032625+2 8.406648-3 9.141752+2 8.548096-3 9.202966+2 8.712370-3 9.227512+2 8.920140-3 9.209791+2 9.252306-3 9.113198+2 9.674309-3 8.920890+2 1.008672-2 8.692090+2 1.056738-2 8.399896+2 1.132066-2 7.922235+2 1.221613-2 7.367903+2 1.335727-2 6.715007+2 1.464124-2 6.064985+2 1.666768-2 5.206751+2 1.866885-2 4.526943+2 2.072247-2 3.958610+2 2.233283-2 3.580786+2 2.377754-2 3.281901+2 2.575222-2 2.923438+2 2.787625-2 2.591179+2 3.117095-2 2.169219+2 3.491984-2 1.800785+2 3.791859-2 1.564442+2 4.035704-2 1.396692+2 4.227558-2 1.275646+2 4.379479-2 1.184011+2 4.490263-2 1.117460+2 4.581802-2 1.060310+2 4.645444-2 1.017047+2 4.673411-2 9.960520+1 4.698112-2 9.757308+1 4.718409-2 9.572797+1 4.746292-2 9.288017+1 4.807486-2 8.615650+1 4.826440-2 8.461861+1 4.842972-2 8.379009+1 4.859645-2 8.352360+1 4.878716-2 8.390520+1 4.901259-2 8.509658+1 4.954366-2 8.890804+1 4.980889-2 9.042575+1 5.016066-2 9.175605+1 5.037525-2 9.225698+1 5.090288-2 9.285697+1 5.148391-2 9.291288+1 5.234183-2 9.240934+1 5.376183-2 9.080378+1 5.511663-2 8.880901+1 5.712315-2 8.543572+1 5.995182-2 8.045945+1 6.306027-2 7.513040+1 6.794970-2 6.739463+1 7.332280-2 5.990592+1 7.924567-2 5.280689+1 8.931081-2 4.313650+1 1.038475-1 3.320518+1 1.170383-1 2.683337+1 1.575710-1 1.558079+1 2.038100-1 9.682467+0 2.439727-1 6.898135+0 3.125236-1 4.289956+0 4.356921-1 2.250793+0 6.645077-1 9.841530-1 1.070165+0 3.838083-1 2.046716+0 1.056575-1 6.158159+0 1.169987-2 1.859734+1 1.283211-3 5.616308+1 1.407054-4 1.696098+2 1.542809-5 5.122134+2 1.691657-6 1.584893+3 1.766909-7 5.011872+3 1.766909-8 1.584893+4 1.766909-9 5.011872+4 1.76691-10 1.000000+5 4.43827-11 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.334300-6 1.258900-6 3.699600-6 1.584900-6 5.863400-6 1.995300-6 9.292900-6 2.511900-6 1.472800-5 3.162300-6 2.334300-5 3.981100-6 3.699500-5 5.011900-6 5.863300-5 6.309600-6 9.292700-5 7.943300-6 1.472800-4 1.000000-5 2.334200-4 1.258900-5 3.699300-4 1.584900-5 5.859800-4 1.995300-5 9.280700-4 2.511900-5 1.470000-3 3.162300-5 2.328800-3 3.981100-5 3.689700-3 5.011900-5 5.846300-3 6.309600-5 9.263900-3 7.943300-5 1.466200-2 1.000000-4 2.319400-2 1.258900-4 3.663900-2 1.584900-4 5.776900-2 1.995300-4 9.080200-2 2.511900-4 1.421000-1 3.162300-4 2.208400-1 3.981100-4 3.392800-1 5.011900-4 5.110400-1 6.309600-4 7.508200-1 7.943300-4 1.068300+0 1.000000-3 1.468300+0 1.258900-3 1.956300+0 1.584900-3 2.554900+0 1.995300-3 3.306000+0 2.511900-3 4.240400+0 3.162300-3 5.378200+0 3.981100-3 6.726900+0 5.011900-3 8.287200+0 6.309600-3 1.001200+1 7.943300-3 1.188200+1 1.000000-2 1.390000+1 1.258900-2 1.605400+1 1.584900-2 1.836400+1 1.995300-2 2.059500+1 2.511900-2 2.265200+1 3.162300-2 2.444000+1 3.981100-2 2.584200+1 5.011900-2 2.685000+1 6.309600-2 2.744400+1 7.943300-2 2.758600+1 1.000000-1 2.727600+1 1.258900-1 2.655800+1 1.584900-1 2.550700+1 1.995300-1 2.421300+1 2.511900-1 2.274200+1 3.162300-1 2.116300+1 3.981100-1 1.953000+1 5.011900-1 1.789400+1 6.309600-1 1.628200+1 7.943300-1 1.472000+1 1.000000+0 1.322100+1 1.258900+0 1.179600+1 1.584900+0 1.045800+1 1.995300+0 9.211500+0 2.511900+0 8.061000+0 3.162300+0 7.010200+0 3.981100+0 6.060200+0 5.011900+0 5.209600+0 6.309600+0 4.454900+0 7.943300+0 3.791100+0 1.000000+1 3.212100+0 1.258900+1 2.710400+0 1.584900+1 2.278800+0 1.995300+1 1.909500+0 2.511900+1 1.595300+0 3.162300+1 1.329100+0 3.981100+1 1.104700+0 5.011900+1 9.161200-1 6.309600+1 7.582200-1 7.943300+1 6.263900-1 1.000000+2 5.166300-1 1.258900+2 4.254500-1 1.584900+2 3.498900-1 1.995300+2 2.873700-1 2.511900+2 2.357500-1 3.162300+2 1.931900-1 3.981100+2 1.581600-1 5.011900+2 1.293600-1 6.309600+2 1.057100-1 7.943300+2 8.631100-2 1.000000+3 7.041900-2 1.258900+3 5.741200-2 1.584900+3 4.677600-2 1.995300+3 3.808500-2 2.511900+3 3.099100-2 3.162300+3 2.520300-2 3.981100+3 2.048500-2 5.011900+3 1.664100-2 6.309600+3 1.351200-2 7.943300+3 1.096600-2 1.000000+4 8.895800-3 1.258900+4 7.213200-3 1.584900+4 5.846400-3 1.995300+4 4.736700-3 2.511900+4 3.836100-3 3.162300+4 3.105600-3 3.981100+4 2.513300-3 5.011900+4 2.033300-3 6.309600+4 1.644400-3 7.943300+4 1.329400-3 1.000000+5 1.074500-3 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159552-4 3.981072-4 3.976780-4 5.011872-4 5.005120-4 6.309573-4 6.298977-4 7.943282-4 7.926715-4 1.000000-3 9.974173-4 1.258925-3 1.254902-3 1.584893-3 1.578601-3 1.995262-3 1.985403-3 2.511886-3 2.496357-3 3.162278-3 3.137939-3 3.981072-3 3.942912-3 5.011872-3 4.952170-3 6.309573-3 6.216369-3 7.943282-3 7.798479-3 1.000000-2 9.774788-3 1.258925-2 1.223849-2 1.584893-2 1.530538-2 1.995262-2 1.911231-2 2.511886-2 2.383078-2 3.162278-2 2.966063-2 3.981072-2 3.683498-2 5.011872-2 4.563105-2 6.309573-2 5.636861-2 7.943282-2 6.942802-2 1.000000-1 8.525352-2 1.258925-1 1.043530-1 1.584893-1 1.273344-1 1.995262-1 1.548095-1 2.511886-1 1.876174-1 3.162278-1 2.266261-1 3.981072-1 2.728757-1 5.011872-1 3.275448-1 6.309573-1 3.920508-1 7.943282-1 4.679661-1 1.000000+0 5.574003-1 1.258925+0 6.627743-1 1.584893+0 7.870749-1 1.995262+0 9.341776-1 2.511886+0 1.108742+0 3.162278+0 1.316463+0 3.981072+0 1.564419+0 5.011872+0 1.861288+0 6.309573+0 2.217412+0 7.943282+0 2.646009+0 1.000000+1 3.162599+0 1.258925+1 3.786653+0 1.584893+1 4.541814+0 1.995262+1 5.456999+0 2.511886+1 6.567881+0 3.162278+1 7.917759+0 3.981072+1 9.560362+0 5.011872+1 1.156107+1 6.309573+1 1.400070+1 7.943282+1 1.697838+1 1.000000+2 2.061570+1 1.258925+2 2.506287+1 1.584893+2 3.050448+1 1.995262+2 3.716799+1 2.511886+2 4.533316+1 3.162278+2 5.534573+1 3.981072+2 6.763020+1 5.011872+2 8.271322+1 6.309573+2 1.012430+2 7.943282+2 1.240188+2 1.000000+3 1.520269+2 1.258925+3 1.864901+2 1.584893+3 2.289181+2 1.995262+3 2.811760+2 2.511886+3 3.455607+2 3.162278+3 4.249361+2 3.981072+3 5.228233+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88187-10 1.995262-5 1.090604-9 2.511886-5 1.728464-9 3.162278-5 2.739472-9 3.981072-5 4.341836-9 5.011872-5 6.881351-9 6.309573-5 1.090594-8 7.943282-5 1.727868-8 1.000000-4 2.737637-8 1.258925-4 4.336638-8 1.584893-4 6.867392-8 1.995262-4 1.087187-7 2.511886-4 1.720269-7 3.162278-4 2.725892-7 3.981072-4 4.291266-7 5.011872-4 6.752716-7 6.309573-4 1.059661-6 7.943282-4 1.656732-6 1.000000-3 2.582657-6 1.258925-3 4.023064-6 1.584893-3 6.291959-6 1.995262-3 9.859307-6 2.511886-3 1.552961-5 3.162278-3 2.433834-5 3.981072-3 3.816015-5 5.011872-3 5.970205-5 6.309573-3 9.320479-5 7.943282-3 1.448032-4 1.000000-2 2.252117-4 1.258925-2 3.507621-4 1.584893-2 5.435532-4 1.995262-2 8.403122-4 2.511886-2 1.288087-3 3.162278-2 1.962145-3 3.981072-2 2.975733-3 5.011872-2 4.487672-3 6.309573-2 6.727123-3 7.943282-2 1.000481-2 1.000000-1 1.474648-2 1.258925-1 2.153957-2 1.584893-1 3.115489-2 1.995262-1 4.471674-2 2.511886-1 6.357129-2 3.162278-1 8.960164-2 3.981072-1 1.252315-1 5.011872-1 1.736424-1 6.309573-1 2.389065-1 7.943282-1 3.263622-1 1.000000+0 4.425997-1 1.258925+0 5.961511-1 1.584893+0 7.978183-1 1.995262+0 1.061085+0 2.511886+0 1.403144+0 3.162278+0 1.845815+0 3.981072+0 2.416653+0 5.011872+0 3.150584+0 6.309573+0 4.092162+0 7.943282+0 5.297273+0 1.000000+1 6.837401+0 1.258925+1 8.802601+0 1.584893+1 1.130712+1 1.995262+1 1.449562+1 2.511886+1 1.855098+1 3.162278+1 2.370502+1 3.981072+1 3.025035+1 5.011872+1 3.855765+1 6.309573+1 4.909503+1 7.943282+1 6.245445+1 1.000000+2 7.938430+1 1.258925+2 1.008297+2 1.584893+2 1.279848+2 1.995262+2 1.623582+2 2.511886+2 2.058555+2 3.162278+2 2.608820+2 3.981072+2 3.304770+2 5.011872+2 4.184740+2 6.309573+2 5.297143+2 7.943282+2 6.703094+2 1.000000+3 8.479731+2 1.258925+3 1.072435+3 1.584893+3 1.355975+3 1.995262+3 1.714086+3 2.511886+3 2.166326+3 3.162278+3 2.737342+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.160000-6 3.518220+6 5.600000-6 2.439880+6 6.025596-6 1.746545+6 6.531306-6 1.199296+6 7.000000-6 8.618140+5 7.500000-6 6.160880+5 8.035261-6 4.373753+5 8.609938-6 3.080400+5 9.080000-6 2.340137+5 9.080000-6 6.615337+5 9.225714-6 6.355479+5 9.400000-6 6.067767+5 9.700000-6 5.649301+5 9.770000-6 5.564694+5 9.770000-6 8.540526+5 1.000000-5 8.212762+5 1.011579-5 8.066959+5 1.035142-5 7.801494+5 1.050000-5 7.657312+5 1.071519-5 7.473715+5 1.083927-5 7.383072+5 1.096478-5 7.297180+5 1.110000-5 7.215934+5 1.135011-5 7.093163+5 1.150000-5 7.033060+5 1.174898-5 6.957254+5 1.180000-5 6.945134+5 1.190000-5 6.923364+5 1.216186-5 6.886828+5 1.220200-5 6.883497+5 1.230269-5 6.876666+5 1.250000-5 6.876519+5 1.258925-5 6.878042+5 1.273503-5 6.887471+5 1.280000-5 6.895519+5 1.303167-5 6.927665+5 1.310000-5 6.940282+5 1.318257-5 6.956449+5 1.342300-5 7.016895+5 1.350000-5 7.037222+5 1.365000-5 7.083237+5 1.372000-5 7.108416+5 1.400000-5 7.212151+5 1.420000-5 7.295563+5 1.430000-5 7.342478+5 1.445440-5 7.416298+5 1.462177-5 7.502328+5 1.480000-5 7.595509+5 1.490000-5 7.652830+5 1.500000-5 7.710823+5 1.515000-5 7.802752+5 1.548817-5 8.013136+5 1.550000-5 8.020593+5 1.584893-5 8.268356+5 1.621810-5 8.535267+5 1.659587-5 8.842155+5 1.698244-5 9.162026+5 1.717908-5 9.333001+5 1.750000-5 9.627533+5 1.778279-5 9.891191+5 1.800000-5 1.010205+6 1.819701-5 1.029552+6 1.870000-5 1.081384+6 1.883649-5 1.095679+6 1.950000-5 1.168242+6 2.018366-5 1.247567+6 2.089296-5 1.334316+6 2.230000-5 1.514972+6 2.317395-5 1.633377+6 2.483133-5 1.869887+6 2.500000-5 1.894825+6 2.600160-5 2.043189+6 2.651000-5 2.119364+6 2.656000-5 2.126922+6 2.656000-5 1.830672+7 2.691535-5 1.742526+7 2.754229-5 1.602470+7 2.818383-5 1.482889+7 2.851018-5 1.427768+7 2.900000-5 1.354570+7 2.951209-5 1.285014+7 3.000000-5 1.227290+7 3.019952-5 1.205199+7 3.061000-5 1.162154+7 3.061000-5 1.908528+7 3.090295-5 1.851264+7 3.122000-5 1.792350+7 3.198895-5 1.664631+7 3.273407-5 1.557909+7 3.350000-5 1.460744+7 3.388442-5 1.417149+7 3.400000-5 1.404691+7 3.469400-5 1.334249+7 3.507519-5 1.298515+7 3.589219-5 1.229713+7 3.672823-5 1.167441+7 3.801894-5 1.084938+7 3.900000-5 1.031794+7 4.027170-5 9.728598+6 4.073803-5 9.537051+6 4.168694-5 9.186122+6 4.300000-5 8.768321+6 4.315191-5 8.724918+6 4.365158-5 8.587397+6 4.466836-5 8.337313+6 4.570882-5 8.111919+6 4.677351-5 7.910664+6 4.800000-5 7.719208+6 4.900000-5 7.582444+6 4.921000-5 7.555462+6 4.921000-5 7.607486+6 5.000000-5 7.514121+6 5.011872-5 7.501098+6 5.110000-5 7.404924+6 5.188000-5 7.339114+6 5.248075-5 7.290510+6 5.308844-5 7.243883+6 5.400000-5 7.184193+6 5.432503-5 7.165059+6 5.559043-5 7.100642+6 5.623413-5 7.066820+6 5.821032-5 6.988967+6 5.900000-5 6.965176+6 5.956621-5 6.948146+6 6.025596-5 6.926796+6 6.165950-5 6.890443+6 6.237348-5 6.875953+6 6.309573-5 6.861183+6 6.531306-5 6.812561+6 6.580000-5 6.804585+6 6.606934-5 6.800403+6 6.683439-5 6.785991+6 6.839116-5 6.753339+6 6.918310-5 6.739556+6 7.000000-5 6.726637+6 7.079458-5 6.712065+6 7.161434-5 6.693509+6 7.328245-5 6.661543+6 7.413102-5 6.646658+6 7.500000-5 6.629038+6 7.585776-5 6.608857+6 7.650000-5 6.594198+6 7.673615-5 6.589016+6 7.852356-5 6.551721+6 7.900000-5 6.541059+6 8.035261-5 6.511657+6 8.150000-5 6.483603+6 8.222426-5 6.466904+6 8.413951-5 6.424334+6 8.500000-5 6.403703+6 8.511380-5 6.401048+6 8.609938-5 6.378770+6 8.912509-5 6.302643+6 9.015711-5 6.278506+6 9.332543-5 6.200272+6 9.440609-5 6.175263+6 9.800000-5 6.084186+6 1.000000-4 6.032304+6 1.011579-4 6.003082+6 1.023293-4 5.971245+6 1.035142-4 5.939858+6 1.047129-4 5.908880+6 1.071519-4 5.842900+6 1.083927-4 5.810458+6 1.100000-4 5.764318+6 1.122018-4 5.703132+6 1.161449-4 5.590633+6 1.174898-4 5.550749+6 1.192300-4 5.500559+6 1.230269-4 5.388794+6 1.260000-4 5.297903+6 1.273503-4 5.257750+6 1.288250-4 5.212296+6 1.330000-4 5.088754+6 1.350000-4 5.028172+6 1.364583-4 4.985000+6 1.400000-4 4.879234+6 1.412538-4 4.843060+6 1.421500-4 4.817606+6 1.424400-4 4.808946+6 1.424400-4 5.341973+6 1.450000-4 5.414601+6 1.460000-4 5.450439+6 1.462177-4 5.457880+6 1.470000-4 5.485617+6 1.477000-4 5.508854+6 1.477600-4 5.510563+6 1.477600-4 5.876111+6 1.480000-4 5.889240+6 1.481500-4 5.897614+6 1.485000-4 5.918799+6 1.489000-4 5.940957+6 1.492000-4 5.958943+6 1.500000-4 6.002960+6 1.507200-4 6.039217+6 1.515000-4 6.074541+6 1.520000-4 6.094084+6 1.523000-4 6.105124+6 1.530000-4 6.125648+6 1.532000-4 6.130992+6 1.538000-4 6.142543+6 1.540000-4 6.145659+6 1.547000-4 6.150305+6 1.548817-4 6.150701+6 1.550000-4 6.150988+6 1.555300-4 6.148347+6 1.560000-4 6.143832+6 1.563000-4 6.138995+6 1.566751-4 6.131171+6 1.570000-4 6.124534+6 1.571100-4 6.121739+6 1.578000-4 6.099906+6 1.584893-4 6.074594+6 1.587000-4 6.065473+6 1.595600-4 6.023997+6 1.600000-4 6.000829+6 1.603245-4 5.982466+6 1.605000-4 5.972601+6 1.615000-4 5.912263+6 1.627000-4 5.832049+6 1.635000-4 5.776481+6 1.640590-4 5.736741+6 1.655000-4 5.632046+6 1.659587-4 5.598368+6 1.660000-4 5.595305+6 1.670000-4 5.520196+6 1.690000-4 5.372278+6 1.698244-4 5.310536+6 1.713000-4 5.203995+6 1.720000-4 5.154228+6 1.737801-4 5.030974+6 1.740000-4 5.016236+6 1.760000-4 4.884951+6 1.770000-4 4.821116+6 1.778279-4 4.769182+6 1.800000-4 4.639206+6 1.810000-4 4.581229+6 1.820000-4 4.524671+6 1.850000-4 4.365986+6 1.880000-4 4.222051+6 1.883649-4 4.205618+6 1.893700-4 4.161107+6 1.900000-4 4.134044+6 1.908000-4 4.099278+6 1.927525-4 4.018619+6 1.930000-4 4.008481+6 1.949845-4 3.931279+6 1.950000-4 3.930688+6 1.973000-4 3.847706+6 1.980000-4 3.823702+6 1.995262-4 3.773112+6 2.000000-4 3.758036+6 2.018366-4 3.701406+6 2.020000-4 3.696570+6 2.041738-4 3.634254+6 2.050000-4 3.611498+6 2.065380-4 3.568508+6 2.066500-4 3.565491+6 2.089296-4 3.506096+6 2.090000-4 3.504287+6 2.113489-4 3.447369+6 2.137962-4 3.392212+6 2.162719-4 3.340273+6 2.187762-4 3.291454+6 2.190000-4 3.287015+6 2.213095-4 3.243783+6 2.220000-4 3.231312+6 2.240000-4 3.195487+6 2.260000-4 3.161202+6 2.270000-4 3.144774+6 2.300000-4 3.097654+6 2.317395-4 3.072191+6 2.340000-4 3.039995+6 2.344229-4 3.034192+6 2.350000-4 3.025950+6 2.371374-4 2.996513+6 2.380000-4 2.984553+6 2.430000-4 2.919300+6 2.454709-4 2.889356+6 2.511886-4 2.824606+6 2.580000-4 2.749240+6 2.603000-4 2.725293+6 2.603000-4 3.037333+6 2.630268-4 3.008907+6 2.660725-4 2.978652+6 2.691535-4 2.948878+6 2.700000-4 2.940522+6 2.754229-4 2.887719+6 2.800000-4 2.845514+6 2.830000-4 2.819018+6 2.884032-4 2.772913+6 2.894700-4 2.763874+6 2.900500-4 2.758921+6 2.900500-4 2.845576+6 2.917427-4 2.831268+6 2.930000-4 2.820504+6 2.930760-4 2.819855+6 2.985383-4 2.773616+6 3.000000-4 2.761583+6 3.019952-4 2.744977+6 3.090295-4 2.689841+6 3.100000-4 2.682192+6 3.126079-4 2.661367+6 3.200000-4 2.604565+6 3.235937-4 2.577152+6 3.311311-4 2.522827+6 3.320000-4 2.516675+6 3.349654-4 2.494897+6 3.350000-4 2.494641+6 3.427678-4 2.439719+6 3.430000-4 2.438147+6 3.548134-4 2.358701+6 3.550000-4 2.357490+6 3.577000-4 2.339170+6 3.577000-4 2.445600+6 3.589219-4 2.437303+6 3.672823-4 2.381580+6 3.700000-4 2.364013+6 3.715352-4 2.353909+6 3.780000-4 2.312806+6 3.801894-4 2.299321+6 3.845918-4 2.271843+6 3.850000-4 2.269309+6 3.935501-4 2.216335+6 3.981072-4 2.189005+6 4.027170-4 2.162079+6 4.073803-4 2.134683+6 4.120975-4 2.107361+6 4.216965-4 2.052791+6 4.265795-4 2.025642+6 4.315191-4 1.999109+6 4.365158-4 1.972629+6 4.415704-4 1.946486+6 4.430000-4 1.939139+6 4.466836-4 1.919969+6 4.518559-4 1.893458+6 4.623810-4 1.841206+6 4.731513-4 1.789881+6 4.786301-4 1.764343+6 4.841724-4 1.738964+6 4.850000-4 1.735212+6 4.954502-4 1.687892+6 5.011872-4 1.662674+6 5.069907-4 1.637972+6 5.128614-4 1.613583+6 5.150000-4 1.604660+6 5.188000-4 1.589007+6 5.248075-4 1.564559+6 5.432503-4 1.492539+6 5.500000-4 1.467280+6 5.559043-4 1.445809+6 5.623413-4 1.422552+6 5.688529-4 1.399599+6 5.754399-4 1.376987+6 5.821032-4 1.354295+6 5.900000-4 1.328304+6 6.095369-4 1.266886+6 6.100000-4 1.265476+6 6.165950-4 1.245258+6 6.200000-4 1.235007+6 6.237348-4 1.223943+6 6.456542-4 1.161755+6 6.531306-4 1.141760+6 6.606934-4 1.121754+6 6.683439-4 1.102006+6 6.760830-4 1.082270+6 6.918310-4 1.043882+6 7.000000-4 1.024864+6 7.150000-4 9.907189+5 7.244360-4 9.699700+5 7.328245-4 9.521630+5 7.413102-4 9.345420+5 7.500000-4 9.170285+5 7.673615-4 8.829662+5 7.943282-4 8.336604+5 8.035261-4 8.179199+5 8.128305-4 8.020906+5 8.222426-4 7.865300+5 8.413951-4 7.559780+5 8.609938-4 7.267379+5 8.810489-4 6.982596+5 8.912509-4 6.842762+5 9.015711-4 6.704086+5 9.225714-4 6.435830+5 9.332543-4 6.304142+5 9.549926-4 6.049532+5 9.772372-4 5.803418+5 9.885531-4 5.683514+5 1.000000-3 5.565501+5 1.023293-3 5.333684+5 1.035142-3 5.221468+5 1.071519-3 4.896353+5 1.083927-3 4.792641+5 1.096478-3 4.689327+5 1.109175-3 4.588403+5 1.122018-3 4.489159+5 1.137800-3 4.370724+5 1.137800-3 1.532946+6 1.150000-3 1.498419+6 1.161449-3 1.467041+6 1.167200-3 1.451646+6 1.167200-3 1.924751+6 1.175000-3 1.914114+6 1.188502-3 1.896910+6 1.190000-3 1.895104+6 1.195000-3 1.889211+6 1.196000-3 1.885683+6 1.202264-3 1.876527+6 1.216186-3 1.857202+6 1.223000-3 1.848218+6 1.230269-3 1.836414+6 1.244515-3 1.814163+6 1.258925-3 1.787277+6 1.273503-3 1.761181+6 1.288250-3 1.730725+6 1.303167-3 1.699357+6 1.318257-3 1.666562+6 1.333521-3 1.626026+6 1.348963-3 1.584417+6 1.350000-3 1.581678+6 1.364583-3 1.543866+6 1.380384-3 1.505486+6 1.400000-3 1.456116+6 1.412538-3 1.425701+6 1.428894-3 1.387376+6 1.445440-3 1.350089+6 1.469600-3 1.298096+6 1.469600-3 1.498642+6 1.479108-3 1.476425+6 1.500000-3 1.429225+6 1.504000-3 1.420308+6 1.531087-3 1.362939+6 1.540000-3 1.344745+6 1.548817-3 1.327525+6 1.584893-3 1.259706+6 1.603245-3 1.227122+6 1.604000-3 1.225808+6 1.604000-3 1.299973+6 1.621810-3 1.268674+6 1.640590-3 1.236886+6 1.659587-3 1.205353+6 1.678804-3 1.174648+6 1.690000-3 1.157266+6 1.698244-3 1.144599+6 1.710000-3 1.126892+6 1.730000-3 1.097638+6 1.737801-3 1.086523+6 1.757924-3 1.058365+6 1.776900-3 1.032859+6 1.776900-3 1.078480+6 1.778279-3 1.076622+6 1.840772-3 9.963562+5 1.862087-3 9.710360+5 1.883649-3 9.460376+5 1.905461-3 9.215004+5 1.927525-3 8.976100+5 1.949845-3 8.743743+5 1.950000-3 8.742161+5 1.972423-3 8.517133+5 2.000000-3 8.248422+5 2.018366-3 8.076641+5 2.041738-3 7.864188+5 2.065380-3 7.657662+5 2.070000-3 7.618252+5 2.089296-3 7.456576+5 2.113489-3 7.261019+5 2.137962-3 7.070136+5 2.150000-3 6.978480+5 2.187762-3 6.701410+5 2.213095-3 6.524611+5 2.238721-3 6.351629+5 2.264644-3 6.182458+5 2.290868-3 6.017856+5 2.317395-3 5.857892+5 2.344229-3 5.701398+5 2.371374-3 5.549239+5 2.400000-3 5.394738+5 2.454709-3 5.113324+5 2.483133-3 4.974491+5 2.500000-3 4.894623+5 2.511886-3 4.839420+5 2.540973-3 4.707240+5 2.570396-3 4.578763+5 2.600160-3 4.453566+5 2.630268-3 4.331982+5 2.660725-3 4.213190+5 2.691535-3 4.097783+5 2.720000-3 3.994842+5 2.754229-3 3.875541+5 2.800000-3 3.723856+5 2.818383-3 3.665160+5 2.851018-3 3.564042+5 2.884032-3 3.465756+5 2.917427-3 3.370333+5 3.000000-3 3.150339+5 3.019952-3 3.100329+5 3.054921-3 3.014444+5 3.070000-3 2.978335+5 3.090295-3 2.930422+5 3.126079-3 2.848649+5 3.150000-3 2.795794+5 3.198895-3 2.691404+5 3.273407-3 2.542951+5 3.349654-3 2.402962+5 3.388442-3 2.335663+5 3.400000-3 2.316131+5 3.427678-3 2.269974+5 3.467369-3 2.205886+5 3.500000-3 2.154941+5 3.589219-3 2.023982+5 3.630781-3 1.966905+5 3.672823-3 1.911520+5 3.715352-3 1.857758+5 3.758374-3 1.805584+5 3.845918-3 1.704611+5 3.890451-3 1.656116+5 3.900000-3 1.645980+5 3.935501-3 1.609049+5 3.981072-3 1.563096+5 4.120975-3 1.432995+5 4.168694-3 1.392199+5 4.216965-3 1.352584+5 4.300000-3 1.287869+5 4.315191-3 1.276505+5 4.320000-3 1.272892+5 4.365158-3 1.239649+5 4.415704-3 1.203886+5 4.466836-3 1.169193+5 4.570882-3 1.102916+5 4.623810-3 1.071227+5 4.677351-3 1.040493+5 4.731513-3 1.010542+5 4.841724-3 9.530432+4 4.897788-3 9.254703+4 4.954502-3 8.987063+4 5.069907-3 8.472213+4 5.128614-3 8.226461+4 5.188000-3 7.988192+4 5.308844-3 7.531587+4 5.370318-3 7.312927+4 5.432503-3 7.099780+4 5.500000-3 6.878405+4 5.559043-3 6.691533+4 5.623413-3 6.495424+4 5.754399-3 6.120812+4 5.888437-3 5.768478+4 6.025596-3 5.436014+4 6.165950-3 5.122243+4 6.237348-3 4.972011+4 6.300000-3 4.844453+4 6.309573-3 4.825323+4 6.456542-3 4.544547+4 6.500000-3 4.465946+4 6.531306-3 4.410498+4 6.683439-3 4.154560+4 6.760830-3 4.032047+4 6.800000-3 3.971970+4 6.839116-3 3.913051+4 6.918310-3 3.797522+4 6.968800-3 3.726310+4 6.968800-3 1.040203+5 7.017000-3 1.022393+5 7.079458-3 9.998797+4 7.220000-3 9.517134+4 7.244360-3 9.433258+4 7.413102-3 8.879519+4 7.585776-3 8.357645+4 7.624800-3 8.242991+4 7.624800-3 1.129739+5 7.673615-3 1.110875+5 7.700000-3 1.100853+5 7.762471-3 1.078534+5 7.852356-3 1.047530+5 8.000000-3 9.970562+4 8.018100-3 9.911014+4 8.018100-3 1.145539+5 8.128305-3 1.105771+5 8.145000-3 1.099912+5 8.222426-3 1.074152+5 8.317638-3 1.043644+5 8.350000-3 1.033558+5 8.400000-3 1.018086+5 8.413951-3 1.013788+5 8.511380-3 9.844494+4 8.810489-3 9.021961+4 8.900000-3 8.794695+4 8.912509-3 8.763287+4 9.015711-3 8.506559+4 9.120108-3 8.257164+4 9.332543-3 7.780536+4 9.440609-3 7.552832+4 9.549926-3 7.331776+4 9.660509-3 7.118194+4 9.885531-3 6.707217+4 1.000000-2 6.509374+4 1.011579-2 6.317501+4 1.023293-2 6.131348+4 1.035142-2 5.949660+4 1.059254-2 5.602662+4 1.071519-2 5.436104+4 1.083927-2 5.274632+4 1.122018-2 4.816885+4 1.135011-2 4.673534+4 1.148154-2 4.534504+4 1.150000-2 4.515443+4 1.161449-2 4.399568+4 1.174898-2 4.267839+4 1.188502-2 4.140057+4 1.202264-2 4.016203+4 1.216186-2 3.896022+4 1.230269-2 3.779537+4 1.288250-2 3.348264+4 1.300000-2 3.269373+4 1.303167-2 3.248531+4 1.333521-2 3.056557+4 1.348963-2 2.964918+4 1.350000-2 2.958902+4 1.364583-2 2.875090+4 1.380384-2 2.787900+4 1.396368-2 2.703360+4 1.428894-2 2.542080+4 1.462177-2 2.390678+4 1.479108-2 2.317984+4 1.513561-2 2.179152+4 1.531087-2 2.112973+4 1.548817-2 2.048846+4 1.566751-2 1.986658+4 1.584893-2 1.926397+4 1.603245-2 1.868015+4 1.621810-2 1.811301+4 1.640590-2 1.756312+4 1.659587-2 1.702631+4 1.678804-2 1.650619+4 1.698244-2 1.599851+4 1.717908-2 1.550627+4 1.757924-2 1.456786+4 1.778279-2 1.412068+4 1.800000-2 1.366391+4 1.819701-2 1.326721+4 1.840772-2 1.286050+4 1.862087-2 1.246659+4 1.905461-2 1.171339+4 1.927525-2 1.135092+4 1.950000-2 1.099756+4 1.972423-2 1.065973+4 1.995262-2 1.033031+4 2.018366-2 1.001135+4 2.041738-2 9.702455+3 2.065380-2 9.403082+3 2.089296-2 9.113161+3 2.113489-2 8.832419+3 2.187762-2 8.036699+3 2.213095-2 7.786628+3 2.238721-2 7.544536+3 2.264644-2 7.309667+3 2.317395-2 6.862069+3 2.344229-2 6.648893+3 2.371374-2 6.442367+3 2.426610-2 6.047172+3 2.511886-2 5.500422+3 2.540973-2 5.328592+3 2.570396-2 5.162262+3 2.600160-2 5.001084+3 2.630268-2 4.845059+3 2.650000-2 4.745942+3 2.660725-2 4.693187+3 2.691535-2 4.546088+3 2.722701-2 4.403665+3 2.786121-2 4.132217+3 2.818383-2 4.002977+3 2.851018-2 3.877260+3 2.884032-2 3.755571+3 2.917427-2 3.637773+3 2.951209-2 3.523371+3 2.985383-2 3.412650+3 3.054921-2 3.201591+3 3.126079-2 3.003883+3 3.162278-2 2.909641+3 3.198895-2 2.817968+3 3.235937-2 2.729252+3 3.311311-2 2.559161+3 3.349654-2 2.478216+3 3.388442-2 2.399872+3 3.427678-2 2.324065+3 3.467369-2 2.250701+3 3.589219-2 2.044355+3 3.672823-2 1.917306+3 3.715352-2 1.856765+3 3.758374-2 1.798146+3 3.801894-2 1.741404+3 3.890451-2 1.632209+3 4.000000-2 1.509757+3 4.027170-2 1.481356+3 4.168694-2 1.344625+3 4.216965-2 1.301975+3 4.265795-2 1.260703+3 4.315191-2 1.220768+3 4.365158-2 1.182078+3 4.415704-2 1.144635+3 4.466836-2 1.108312+3 4.570882-2 1.038641+3 4.731513-2 9.421375+2 4.786301-2 9.120261+2 4.856800-2 8.751952+2 4.856800-2 4.856351+3 4.930000-2 4.687245+3 4.960000-2 4.609858+3 5.011872-2 4.501949+3 5.069907-2 4.363331+3 5.128614-2 4.228966+3 5.150000-2 4.181430+3 5.188000-2 4.104661+3 5.248075-2 3.987274+3 5.350000-2 3.798341+3 5.432503-2 3.646646+3 5.500000-2 3.528690+3 5.559043-2 3.429754+3 5.623413-2 3.326202+3 5.821032-2 3.033857+3 5.956621-2 2.855939+3 6.165950-2 2.608461+3 6.237348-2 2.530854+3 6.382635-2 2.382319+3 6.531306-2 2.242539+3 6.606934-2 2.174243+3 6.760830-2 2.043845+3 6.839116-2 1.981620+3 6.918310-2 1.921291+3 7.079458-2 1.806108+3 7.161434-2 1.751129+3 7.328245-2 1.646131+3 7.498942-2 1.546188+3 7.673615-2 1.452327+3 7.943282-2 1.322142+3 8.128305-2 1.241922+3 8.222426-2 1.203661+3 8.317638-2 1.166582+3 8.413951-2 1.130650+3 8.511380-2 1.095826+3 8.609938-2 1.062071+3 8.709636-2 1.029358+3 8.810489-2 9.976176+2 8.912509-2 9.668570+2 9.015711-2 9.370461+2 9.120108-2 9.077495+2 9.225714-2 8.793712+2 9.549926-2 7.994620+2 9.885531-2 7.268311+2 1.000000-1 7.041215+2 1.023293-1 6.608137+2 1.035142-1 6.401718+2 1.059254-1 6.007965+2 1.096478-1 5.461812+2 1.109175-1 5.291035+2 1.122019-1 5.125610+2 1.135011-1 4.965377+2 1.148154-1 4.808532+2 1.188502-1 4.367171+2 1.273503-1 3.602459+2 1.300000-1 3.401595+2 1.303167-1 3.378620+2 1.318257-1 3.272019+2 1.333521-1 3.168792+2 1.412538-1 2.699078+2 1.445440-1 2.531336+2 1.462177-1 2.451419+2 1.479108-1 2.374032+2 1.496236-1 2.299088+2 1.513561-1 2.226519+2 1.531088-1 2.156239+2 1.548817-1 2.088185+2 1.584893-1 1.958468+2 1.603245-1 1.896668+2 1.621810-1 1.836820+2 1.640590-1 1.778876+2 1.717908-1 1.564890+2 1.778279-1 1.421488+2 1.798871-1 1.376672+2 1.819701-1 1.333272+2 1.840772-1 1.291244+2 1.862087-1 1.250542+2 1.883649-1 1.211127+2 1.905461-1 1.172956+2 1.927525-1 1.135990+2 1.949845-1 1.100200+2 1.995262-1 1.031987+2 2.041738-1 9.680063+1 2.065380-1 9.375213+1 2.162719-1 8.248907+1 2.187762-1 7.989167+1 2.199400-1 7.873380+1 2.213095-1 7.740040+1 2.238721-1 7.498708+1 2.264644-1 7.264976+1 2.290868-1 7.038530+1 2.317395-1 6.819212+1 2.344229-1 6.606734+1 2.371374-1 6.400881+1 2.398833-1 6.201697+1 2.454709-1 5.821746+1 2.511886-1 5.465095+1 2.540973-1 5.295050+1 2.570396-1 5.130325+1 2.600160-1 4.970779+1 2.630268-1 4.816203+1 2.660725-1 4.666436+1 2.754229-1 4.249915+1 2.818383-1 3.993116+1 2.851018-1 3.870600+1 2.884032-1 3.751842+1 2.917427-1 3.636743+1 2.951209-1 3.525412+1 3.000000-1 3.372709+1 3.019952-1 3.312875+1 3.054921-1 3.211467+1 3.090295-1 3.113192+1 3.162278-1 2.928408+1 3.198895-1 2.840175+1 3.235937-1 2.754600+1 3.273407-1 2.671613+1 3.311311-1 2.591155+1 3.427678-1 2.364046+1 3.467369-1 2.292860+1 3.507519-1 2.223986+1 3.548134-1 2.157183+1 3.589219-1 2.093469+1 3.630781-1 2.031637+1 3.672823-1 1.971657+1 3.715352-1 1.913449+1 3.758374-1 1.856960+1 3.801894-1 1.802143+1 3.845918-1 1.748946+1 3.890451-1 1.697320+1 3.935501-1 1.647234+1 3.981072-1 1.598627+1 4.000000-1 1.579057+1 4.027170-1 1.551542+1 4.073803-1 1.506718+1 4.120975-1 1.463191+1 4.168694-1 1.420921+1 4.216965-1 1.379873+1 4.315191-1 1.301307+1 4.365158-1 1.263719+1 4.415705-1 1.227229+1 4.466836-1 1.191793+1 4.518559-1 1.157396+1 4.570882-1 1.124762+1 4.731513-1 1.032332+1 4.841724-1 9.749783+0 4.897788-1 9.475082+0 4.954502-1 9.208318+0 5.011872-1 8.949070+0 5.069907-1 8.697124+0 5.128614-1 8.457603+0 5.188000-1 8.225226+0 5.248075-1 7.999370+0 5.308844-1 7.779742+0 5.370318-1 7.566141+0 5.477200-1 7.214186+0 5.495409-1 7.156562+0 5.623413-1 6.769284+0 5.688529-1 6.583577+0 5.754399-1 6.407064+0 5.821032-1 6.235713+0 5.888437-1 6.069074+0 6.025596-1 5.749177+0 6.095369-1 5.595612+0 6.309573-1 5.159255+0 6.382635-1 5.025205+0 6.456542-1 4.894642+0 6.531306-1 4.767942+0 6.606935-1 4.644614+0 6.683439-1 4.524480+0 6.760830-1 4.407452+0 6.918310-1 4.182474+0 6.998420-1 4.074331+0 7.079458-1 3.971665+0 7.161434-1 3.871631+0 7.244360-1 3.774125+0 7.328245-1 3.679334+0 7.413102-1 3.586995+0 7.444800-1 3.553364+0 7.498942-1 3.496973+0 7.762471-1 3.240248+0 7.852356-1 3.158991+0 7.943282-1 3.081751+0 8.035261-1 3.006403+0 8.128305-1 2.932899+0 8.222427-1 2.861385+0 8.317638-1 2.791627+0 8.413951-1 2.723612+0 8.609938-1 2.592570+0 8.709636-1 2.529467+0 8.810489-1 2.467907+0 8.912509-1 2.408999+0 9.015711-1 2.351496+0 9.120108-1 2.295394+0 9.225714-1 2.240640+0 9.332543-1 2.187265+0 9.549926-1 2.084645+0 9.660509-1 2.035156+0 9.885531-1 1.942889+0 1.000000+0 1.898374+0 1.011579+0 1.854889+0 1.023293+0 1.812567+0 1.035142+0 1.771213+0 1.047129+0 1.730818+0 1.071519+0 1.652776+0 1.096478+0 1.580025+0 1.122018+0 1.510478+0 1.135011+0 1.476859+0 1.148154+0 1.444004+0 1.161449+0 1.411885+0 1.174898+0 1.380588+0 1.188502+0 1.350007+0 1.202264+0 1.320101+0 1.216186+0 1.290857+0 1.244515+0 1.235908+0 1.250000+0 1.225683+0 1.273503+0 1.183319+0 1.288250+0 1.157871+0 1.303167+0 1.133070+0 1.318257+0 1.108816+0 1.333521+0 1.085082+0 1.364583+0 1.039124+0 1.380384+0 1.017496+0 1.412538+0 9.755955-1 1.428894+0 9.552976-1 1.445440+0 9.354297-1 1.462177+0 9.160414-1 1.513561+0 8.602903-1 1.531087+0 8.424713-1 1.621810+0 7.610191-1 1.640590+0 7.457018-1 1.659587+0 7.307514-1 1.698244+0 7.017528-1 1.737801+0 6.739182-1 1.778279+0 6.479273-1 1.840772+0 6.108076-1 1.862087+0 5.989154-1 1.883649+0 5.872982-1 1.927525+0 5.647435-1 1.972423+0 5.430665-1 2.018366+0 5.228086-1 2.044000+0 5.120276-1 2.065380+0 5.033060-1 2.089296+0 4.938293-1 2.113489+0 4.845329-1 2.137962+0 4.754497-1 2.187762+0 4.577977-1 2.238721+0 4.408108-1 2.290868+0 4.249531-1 2.317395+0 4.172395-1 2.344229+0 4.096660-1 2.371374+0 4.022299-1 2.398833+0 3.949303-1 2.426610+0 3.877926-1 2.483133+0 3.739071-1 2.540973+0 3.605261-1 2.600160+0 3.480079-1 2.630268+0 3.419129-1 2.660725+0 3.359246-1 2.691535+0 3.300411-1 2.722701+0 3.242619-1 2.786121+0 3.130500-1 2.851018+0 3.022299-1 2.917427+0 2.917892-1 3.000000+0 2.799596-1 3.019952+0 2.772214-1 3.054921+0 2.725289-1 3.090295+0 2.679159-1 3.126079+0 2.633811-1 3.162278+0 2.589236-1 3.235937+0 2.502680-1 3.311311+0 2.419048-1 3.388442+0 2.338251-1 3.467369+0 2.262373-1 3.507519+0 2.225363-1 3.548134+0 2.188958-1 3.589219+0 2.153149-1 3.630781+0 2.117926-1 3.672823+0 2.083285-1 3.758374+0 2.015955-1 3.845918+0 1.950823-1 3.935501+0 1.887827-1 4.073803+0 1.799558-1 4.120975+0 1.771062-1 4.168694+0 1.743017-1 4.216965+0 1.715417-1 4.265795+0 1.688254-1 4.315191+0 1.661525-1 4.415704+0 1.609533-1 4.518559+0 1.559186-1 4.623810+0 1.510439-1 4.786301+0 1.442120-1 4.841724+0 1.420040-1 4.897788+0 1.398299-1 4.954502+0 1.376891-1 5.011872+0 1.355811-1 5.069907+0 1.335057-1 5.188000+0 1.294663-1 5.248075+0 1.274933-1 5.308844+0 1.255509-1 5.370318+0 1.236386-1 5.623413+0 1.164745-1 5.688529+0 1.147493-1 5.821032+0 1.113752-1 5.888437+0 1.097255-1 6.000000+0 1.070884-1 6.025596+0 1.064993-1 6.095369+0 1.049265-1 6.237348+0 1.018522-1 6.309573+0 1.003494-1 6.382635+0 9.886905-2 6.531306+0 9.597442-2 6.839116+0 9.058206-2 6.918310+0 8.928197-2 7.000000+0 8.797562-2 7.079458+0 8.673754-2 7.244360+0 8.426569-2 7.328245+0 8.306018-2 7.498942+0 8.070212-2 7.585776+0 7.954869-2 7.673615+0 7.841197-2 7.852356+0 7.618767-2 8.317638+0 7.103120-2 8.413951+0 7.004258-2 8.511380+0 6.906771-2 8.609938+0 6.810640-2 8.810489+0 6.622380-2 8.912509+0 6.530497-2 9.120108+0 6.350647-2 9.225714+0 6.262616-2 9.332543+0 6.175820-2 9.549926+0 6.005869-2 1.023293+1 5.535007-2 1.035142+1 5.460202-2 1.047129+1 5.386402-2 1.059254+1 5.313605-2 1.071519+1 5.241794-2 1.100000+1 5.081769-2 1.109175+1 5.032268-2 1.135011+1 4.897629-2 1.148154+1 4.831685-2 1.161449+1 4.766640-2 1.188502+1 4.639202-2 1.202264+1 4.578217-2 1.288250+1 4.228769-2 1.303167+1 4.173179-2 1.318257+1 4.118319-2 1.333521+1 4.064183-2 1.348963+1 4.010754-2 1.380384+1 3.906002-2 1.396368+1 3.854790-2 1.412538+1 3.804273-2 1.428894+1 3.754434-2 1.445440+1 3.705250-2 1.500000+1 3.551342-2 1.531087+1 3.470601-2 1.678804+1 3.130102-2 1.698244+1 3.089959-2 1.717908+1 3.050332-2 1.737801+1 3.011212-2 1.757924+1 2.972593-2 1.778279+1 2.934473-2 1.800000+1 2.894807-2 1.819701+1 2.859809-2 1.840772+1 2.823264-2 1.862087+1 2.787192-2 1.905461+1 2.716441-2 1.949845+1 2.648872-2 2.238721+1 2.277329-2 2.290868+1 2.220683-2 2.344229+1 2.165446-2 2.371374+1 2.138344-2 2.400000+1 2.110460-2 2.426610+1 2.085156-2 2.454709+1 2.059063-2 2.483133+1 2.033360-2 2.511886+1 2.007984-2 2.570396+1 1.958192-2 2.630268+1 1.910466-2 3.054921+1 1.627366-2 3.090295+1 1.607412-2 3.126079+1 1.587703-2 3.198895+1 1.549006-2 3.235937+1 1.530013-2 3.273407+1 1.511253-2 3.311311+1 1.492725-2 3.388442+1 1.456416-2 3.427678+1 1.438598-2 3.467369+1 1.420999-2 3.548134+1 1.386451-2 3.890451+1 1.258423-2 4.315191+1 1.128467-2 4.365158+1 1.114882-2 4.466836+1 1.088202-2 4.518559+1 1.075102-2 4.570882+1 1.062162-2 4.623810+1 1.049402-2 4.677351+1 1.036798-2 4.731513+1 1.024346-2 4.954502+1 9.760253-3 6.165950+1 7.781607-3 7.079458+1 6.744149-3 7.161434+1 6.664209-3 7.244360+1 6.585217-3 7.328245+1 6.507163-3 7.413102+1 6.430039-3 7.498942+1 6.353964-3 7.585776+1 6.278805-3 7.673615+1 6.204546-3 7.943282+1 5.987006-3 1.035142+2 4.569405-3 1.303167+2 3.612568-3 1.318257+2 3.570375-3 1.348963+2 3.487462-3 1.364583+2 3.446732-3 1.380384+2 3.406477-3 1.396368+2 3.366691-3 1.428894+2 3.288512-3 1.445440+2 3.250151-3 1.462177+2 3.212245-3 1.513561+2 3.101166-3 1.566751+2 2.993930-3 2.065380+2 2.264708-3 2.600160+2 1.794683-3 2.630268+2 1.773930-3 2.691535+2 1.733142-3 2.722701+2 1.713101-3 2.754229+2 1.693291-3 2.786121+2 1.673711-3 2.851018+2 1.635229-3 2.884032+2 1.616335-3 2.917427+2 1.597662-3 3.019952+2 1.542929-3 3.126079+2 1.490073-3 5.188000+2 8.959882-4 8.222427+2 5.642600-4 1.035142+3 4.477833-4 1.047129+3 4.426364-4 1.071519+3 4.325201-4 1.083927+3 4.275487-4 1.096478+3 4.226347-4 1.109175+3 4.177769-4 1.135011+3 4.082287-4 1.148154+3 4.035387-4 1.161449+3 3.989030-4 1.202264+3 3.853137-4 1.244515+3 3.721870-4 2.065380+3 2.242204-4 5.188000+4 8.915097-6 1.000000+5 4.623962-6 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.160000-6 5.160000-6 9.080000-6 5.160000-6 9.080000-6 7.693323-6 9.770000-6 7.955630-6 9.770000-6 8.587823-6 1.071519-5 8.817109-6 1.174898-5 8.993186-6 1.280000-5 9.107142-6 1.430000-5 9.192844-6 1.698244-5 9.246310-6 2.656000-5 9.296165-6 2.656000-5 2.455424-5 2.851018-5 2.363201-5 3.061000-5 2.249405-5 3.061000-5 2.566798-5 3.350000-5 2.427642-5 3.672823-5 2.254189-5 4.168694-5 1.977699-5 4.466836-5 1.821711-5 4.677351-5 1.721246-5 4.900000-5 1.625328-5 4.921000-5 1.616891-5 4.921000-5 1.639486-5 5.110000-5 1.569754-5 5.308844-5 1.505059-5 5.559043-5 1.435445-5 5.821032-5 1.375868-5 6.025596-5 1.336596-5 6.309573-5 1.291491-5 6.606934-5 1.254012-5 6.918310-5 1.223102-5 7.161434-5 1.203302-5 7.585776-5 1.176548-5 8.035261-5 1.155408-5 8.609938-5 1.136047-5 9.440609-5 1.117238-5 1.047129-4 1.102796-5 1.192300-4 1.091815-5 1.424400-4 1.085732-5 1.424400-4 1.271022-5 1.462177-4 1.343719-5 1.477600-4 1.374255-5 1.477600-4 1.480529-5 1.507200-4 1.548230-5 1.523000-4 1.578044-5 1.540000-4 1.602474-5 1.560000-4 1.620679-5 1.578000-4 1.627185-5 1.600000-4 1.624762-5 1.627000-4 1.609765-5 1.670000-4 1.571092-5 1.778279-4 1.459468-5 1.820000-4 1.421251-5 1.880000-4 1.374703-5 1.930000-4 1.344770-5 1.980000-4 1.323659-5 2.041738-4 1.307899-5 2.090000-4 1.303464-5 2.162719-4 1.306640-5 2.240000-4 1.321053-5 2.340000-4 1.351453-5 2.454709-4 1.397340-5 2.603000-4 1.465408-5 2.603000-4 1.809877-5 2.900500-4 1.957806-5 2.900500-4 2.061936-5 3.200000-4 2.202044-5 3.430000-4 2.298192-5 3.577000-4 2.354729-5 3.577000-4 2.555494-5 3.935501-4 2.684497-5 4.365158-4 2.811799-5 4.850000-4 2.931934-5 5.248075-4 3.014404-5 5.900000-4 3.126729-5 6.683439-4 3.235781-5 7.500000-4 3.327624-5 8.609938-4 3.429315-5 1.000000-3 3.531129-5 1.137800-3 3.614238-5 1.137800-3 5.690940-5 1.167200-3 5.690709-5 1.167200-3 5.985373-5 1.258925-3 6.062293-5 1.333521-3 6.087632-5 1.469600-3 6.081731-5 1.469600-3 6.581446-5 1.604000-3 6.608183-5 1.604000-3 6.834723-5 1.776900-3 6.904513-5 1.776900-3 7.149965-5 2.317395-3 7.403051-5 3.054921-3 7.681313-5 3.935501-3 7.945436-5 4.954502-3 8.186673-5 6.309573-3 8.438597-5 6.968800-3 8.539650-5 6.968800-3 1.161332-4 7.624800-3 1.165057-4 7.624800-3 1.233470-4 8.018100-3 1.235203-4 8.018100-3 1.295923-4 1.161449-2 1.322503-4 1.717908-2 1.350589-4 2.426610-2 1.375431-4 3.467369-2 1.400545-4 4.856800-2 1.423024-4 4.856800-2 1.382261-4 1.333521-1 1.389399-4 5.248075-1 1.393805-4 1.000000+5 1.394379-4 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.160000-6 0.0 1.477600-4 0.0 1.477600-4 9.66295-10 1.481500-4 9.89228-10 1.489000-4 1.041008-9 1.500000-4 1.129790-9 1.507200-4 1.192451-9 1.515000-4 1.264727-9 1.530000-4 1.408589-9 1.540000-4 1.499085-9 1.548817-4 1.574978-9 1.555300-4 1.627218-9 1.563000-4 1.682079-9 1.571100-4 1.731132-9 1.578000-4 1.767836-9 1.587000-4 1.804750-9 1.595600-4 1.830722-9 1.605000-4 1.848678-9 1.615000-4 1.856878-9 1.627000-4 1.854687-9 1.640590-4 1.838528-9 1.655000-4 1.809635-9 1.670000-4 1.770958-9 1.690000-4 1.709663-9 1.720000-4 1.606808-9 1.800000-4 1.322942-9 1.820000-4 1.256331-9 1.850000-4 1.160994-9 1.883649-4 1.062186-9 1.900000-4 1.018058-9 1.930000-4 9.45170-10 1.950000-4 9.02511-10 1.980000-4 8.46616-10 2.000000-4 8.14766-10 2.020000-4 7.87096-10 2.041738-4 7.61571-10 2.066500-4 7.38615-10 2.090000-4 7.22075-10 2.113489-4 7.10199-10 2.137962-4 7.02494-10 2.162719-4 6.99149-10 2.190000-4 7.00257-10 2.213095-4 7.05038-10 2.240000-4 7.14644-10 2.270000-4 7.29828-10 2.300000-4 7.49069-10 2.344229-4 7.83929-10 2.380000-4 8.17134-10 2.430000-4 8.69950-10 2.511886-4 9.67138-10 2.603000-4 1.087786-9 2.603000-4 2.058755-9 2.754229-4 2.278752-9 2.900500-4 2.494102-9 2.900500-4 3.041153-9 3.090295-4 3.324208-9 3.235937-4 3.531444-9 3.430000-4 3.789995-9 3.577000-4 3.973100-9 3.577000-4 4.552638-9 3.801894-4 4.821807-9 3.981072-4 5.019196-9 4.315191-4 5.344602-9 4.623810-4 5.607854-9 4.954502-4 5.863025-9 5.248075-4 6.060904-9 5.623413-4 6.283953-9 5.900000-4 6.435565-9 6.456542-4 6.701604-9 7.150000-4 6.983013-9 7.943282-4 7.249763-9 8.810489-4 7.500993-9 9.885531-4 7.758631-9 1.122018-3 8.032894-9 1.137800-3 8.061275-9 1.137800-3 9.291245-9 1.167200-3 9.302984-9 1.167200-3 1.219724-6 1.195000-3 1.335766-6 1.196000-3 1.335491-6 1.223000-3 1.434159-6 1.244515-3 1.499631-6 1.273503-3 1.567107-6 1.288250-3 1.591838-6 1.303167-3 1.613538-6 1.318257-3 1.631114-6 1.333521-3 1.631841-6 1.380384-3 1.620181-6 1.469600-3 1.612906-6 1.469600-3 1.682076-6 1.604000-3 1.679453-6 1.604000-3 1.868980-6 1.776900-3 1.888902-6 1.776900-3 1.973403-6 1.927525-3 1.998596-6 2.483133-3 2.072889-6 3.090295-3 2.139686-6 3.890451-3 2.211227-6 4.897788-3 2.282711-6 6.165950-3 2.353542-6 6.968800-3 2.390412-6 6.968800-3 6.350224-4 7.244360-3 6.363172-4 7.624800-3 6.359866-4 7.624800-3 8.156467-4 8.018100-3 8.169989-4 8.018100-3 8.622973-4 1.071519-2 8.718635-4 1.678804-2 8.815416-4 2.884032-2 8.895378-4 4.856800-2 8.950906-4 4.856800-2 3.356994-2 5.350000-2 3.375945-2 7.161434-2 3.411319-2 1.023293-1 3.438643-2 1.717908-1 3.460332-2 4.897788-1 3.476535-2 1.174898+0 3.489088-2 1.000000+5 3.488479-2 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.160000-6 0.0 9.080000-6 3.920000-6 9.080000-6 1.386677-6 9.400000-6 1.582308-6 9.770000-6 1.814370-6 9.770000-6 1.182177-6 1.011579-5 1.436554-6 1.050000-5 1.729622-6 1.083927-5 1.996818-6 1.135011-5 2.416196-6 1.190000-5 2.886742-6 1.250000-5 3.419708-6 1.318257-5 4.046894-6 1.430000-5 5.107156-6 1.621810-5 6.980692-6 2.656000-5 1.726383-5 2.656000-5 2.005756-6 2.691535-5 2.515986-6 2.754229-5 3.432723-6 2.818383-5 4.385709-6 2.900000-5 5.621393-6 3.019952-5 7.472793-6 3.061000-5 8.115955-6 3.061000-5 4.942023-6 3.122000-5 5.827102-6 3.273407-5 8.069110-6 3.469400-5 1.104367-5 3.801894-5 1.619837-5 4.168694-5 2.190995-5 4.466836-5 2.645125-5 4.800000-5 3.133025-5 4.921000-5 3.304109-5 4.921000-5 3.281514-5 5.248075-5 3.724282-5 5.623413-5 4.203786-5 6.025596-5 4.689000-5 6.606934-5 5.352922-5 7.413102-5 6.226651-5 8.609938-5 7.473891-5 1.174898-4 1.065626-4 1.424400-4 1.315827-4 1.424400-4 1.297298-4 1.477600-4 1.340175-4 1.477600-4 1.329537-4 1.547000-4 1.385974-4 1.615000-4 1.453192-4 1.908000-4 1.772304-4 2.113489-4 1.983153-4 2.511886-4 2.369647-4 2.603000-4 2.456448-4 2.603000-4 2.421992-4 2.900500-4 2.704695-4 2.900500-4 2.694276-4 3.577000-4 3.341487-4 3.577000-4 3.321405-4 5.248075-4 4.946574-4 9.772372-4 9.420705-4 1.137800-3 1.101650-3 1.137800-3 1.080881-3 1.167200-3 1.110283-3 1.167200-3 1.106126-3 1.469600-3 1.407170-3 1.469600-3 1.402103-3 1.604000-3 1.536239-3 1.604000-3 1.533784-3 1.776900-3 1.705966-3 1.776900-3 1.703427-3 6.968800-3 6.881013-3 6.968800-3 6.217644-3 7.624800-3 6.872308-3 7.624800-3 6.685806-3 8.018100-3 7.077581-3 8.018100-3 7.026210-3 4.856800-2 4.753061-2 4.856800-2 1.485983-2 5.011872-2 1.631980-2 5.248075-2 1.862457-2 6.918310-2 3.496542-2 1.122019-1 7.762030-2 1.188502+0 1.153474+0 1.000000+5 9.999997+4 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 4.856800-2 3.981156+3 4.930000-2 3.848160+3 4.960000-2 3.784980+3 5.011872-2 3.700865+3 5.150000-2 3.439320+3 5.350000-2 3.131860+3 5.821032-2 2.508966+3 6.531306-2 1.863743+3 7.328245-2 1.372832+3 9.015711-2 7.855809+2 1.135011-1 4.180040+2 2.187762-1 6.765791+1 2.660725-1 3.955177+1 3.090295-1 2.640179+1 3.548134-1 1.830526+1 4.027170-1 1.317295+1 4.518559-1 9.831110+0 5.069907-1 7.390858+0 5.688529-1 5.597689+0 6.309573-1 4.388658+0 6.998420-1 3.467714+0 7.852356-1 2.690519+0 8.810489-1 2.103313+0 9.660509-1 1.735035+0 1.071519+0 1.409286+0 1.216186+0 1.100749+0 1.364583+0 8.860343-1 1.531087+0 7.182768-1 1.737801+0 5.745756-1 1.972423+0 4.630220-1 2.238721+0 3.758387-1 2.540973+0 3.073925-1 2.917427+0 2.487837-1 3.388442+0 1.993640-1 3.935501+0 1.609613-1 4.623810+0 1.287838-1 5.370318+0 1.054192-1 6.531306+0 8.183016-2 7.852356+0 6.495981-2 9.549926+0 5.120759-2 1.188502+1 3.955557-2 1.500000+1 3.028000-2 1.905461+1 2.316221-2 2.570396+1 1.669738-2 3.548134+1 1.182175-2 4.954502+1 8.322314-3 7.943282+1 5.104978-3 1.566751+2 2.552886-3 3.126079+2 1.270598-3 1.244515+3 3.173695-4 1.000000+5 3.943000-6 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 4.856800-2 1.373300-4 1.000000+5 1.373300-4 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.856800-2 4.075300-2 1.000000+5 4.075300-2 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 4.856800-2 7.677670-3 1.000000+5 9.999996+4 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 8.018100-3 1.544372+4 8.145000-3 1.492078+4 8.350000-3 1.434616+4 8.511380-3 1.386846+4 8.900000-3 1.290364+4 9.549926-3 1.138092+4 1.023293-2 1.010923+4 1.083927-2 9.115091+3 1.303167-2 6.450775+3 1.640590-2 4.095022+3 1.862087-2 3.153571+3 2.113489-2 2.418962+3 2.511886-2 1.663760+3 2.818383-2 1.288021+3 3.235937-2 9.417490+2 3.801894-2 6.476308+2 4.466836-2 4.414127+2 5.248075-2 2.983428+2 6.237348-2 1.943696+2 7.328245-2 1.293063+2 8.709636-2 8.295368+1 1.059254-1 4.975919+1 1.333521-1 2.704314+1 2.371374-1 5.791958+0 2.917427-1 3.347028+0 3.467369-1 2.134281+0 3.981072-1 1.499134+0 4.518559-1 1.091594+0 5.128614-1 8.008920-1 5.754399-1 6.085990-1 6.456542-1 4.658354-1 7.244360-1 3.597865-1 8.128305-1 2.799199-1 9.332543-1 2.088773-1 1.011579+0 1.771202-1 1.161449+0 1.348298-1 1.288250+0 1.105558-1 1.445440+0 8.932120-2 1.640590+0 7.119602-2 1.862087+0 5.718346-2 2.113489+0 4.625675-2 2.398833+0 3.770423-2 2.722701+0 3.095452-2 3.162278+0 2.471627-2 3.672823+0 1.988716-2 4.315191+0 1.586001-2 5.069907+0 1.274490-2 6.025596+0 1.016595-2 7.244360+0 8.043836-3 8.810489+0 6.321839-3 1.100000+1 4.851300-3 1.380384+1 3.729047-3 1.800000+1 2.763800-3 2.454709+1 1.966162-3 3.311311+1 1.425542-3 4.570882+1 1.014205-3 7.413102+1 6.140455-4 1.428894+2 3.140443-4 2.851018+2 1.561785-4 1.135011+3 3.899364-5 1.000000+5 4.417500-7 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 8.018100-3 1.685600-4 1.000000+5 1.685600-4 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 8.018100-3 1.153000-3 1.000000+5 1.153000-3 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 8.018100-3 6.696540-3 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 7.624800-3 3.054402+4 7.700000-3 2.980490+4 7.852356-3 2.859800+4 8.400000-3 2.412200+4 9.660509-3 1.671200+4 1.059254-2 1.302800+4 1.161449-2 1.010700+4 1.462177-2 5.315800+3 1.603245-2 4.080400+3 1.905461-2 2.471900+3 2.371374-2 1.291500+3 2.917427-2 6.898300+2 3.589219-2 3.646400+2 4.415704-2 1.910500+2 5.500000-2 9.558400+1 7.328245-2 3.833800+1 1.300000-1 6.143386+0 1.621810-1 3.051739+0 1.949845-1 1.716407+0 2.290868-1 1.044517+0 2.660725-1 6.635454-1 3.054921-1 4.398310-1 3.467369-1 3.039129-1 3.890451-1 2.186640-1 4.365158-1 1.584982-1 4.897788-1 1.157744-1 5.477200-1 8.598870-2 6.095369-1 6.516437-2 6.760830-1 5.017422-2 7.762471-1 3.570402-2 8.413951-1 2.947125-2 9.015711-1 2.515210-2 9.660509-1 2.160723-2 1.035142+0 1.869932-2 1.135011+0 1.553993-2 1.250000+0 1.289990-2 1.380384+0 1.074027-2 1.659587+0 7.735150-3 1.883649+0 6.215085-3 2.137962+0 5.030991-3 2.426610+0 4.104055-3 2.786121+0 3.312975-3 3.235937+0 2.648630-3 3.758374+0 2.133636-3 4.415704+0 1.703458-3 5.188000+0 1.370455-3 6.237348+0 1.078053-3 7.498942+0 8.541807-4 9.120108+0 6.721925-4 1.135011+1 5.184249-4 1.412538+1 4.026943-4 1.819701+1 3.027296-4 2.483133+1 2.152811-4 3.388442+1 1.541987-4 4.623810+1 1.110957-4 7.498942+1 6.727239-5 1.445440+2 3.441074-5 2.884032+2 1.711403-5 1.148154+3 4.273311-6 1.000000+5 4.897400-8 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 7.624800-3 1.418100-4 1.000000+5 1.418100-4 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 7.624800-3 1.300500-3 1.000000+5 1.300500-3 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 7.624800-3 6.182490-3 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 6.968800-3 6.675724+4 7.220000-3 6.120440+4 7.585776-3 5.372925+4 8.912509-3 3.458468+4 9.885531-3 2.580557+4 1.161449-2 1.622892+4 1.350000-2 1.048724+4 1.678804-2 5.461016+3 1.905461-2 3.708410+3 2.187762-2 2.420928+3 2.630268-2 1.357731+3 3.162278-2 7.543052+2 3.801894-2 4.155366+2 4.570882-2 2.271664+2 5.623413-2 1.142708+2 7.161434-2 5.085391+1 1.303167-1 6.753498+0 1.640590-1 3.124398+0 1.927525-1 1.833718+0 2.238721-1 1.125977+0 2.570396-1 7.230372-1 2.917427-1 4.854518-1 3.273407-1 3.404874-1 3.630781-1 2.491579-1 4.027170-1 1.836008-1 4.466836-1 1.363161-1 4.897788-1 1.053438-1 5.370318-1 8.193957-2 5.888437-1 6.416307-2 6.456542-1 5.059928-2 7.079458-1 4.018360-2 7.762471-1 3.213678-2 8.609938-1 2.513874-2 9.225714-1 2.147361-2 9.885531-1 1.847527-2 1.071519+0 1.564589-2 1.174898+0 1.303587-2 1.288250+0 1.094279-2 1.428894+0 9.058842-3 1.698244+0 6.670142-3 1.927525+0 5.365623-3 2.187762+0 4.349026-3 2.483133+0 3.552143-3 2.851018+0 2.870928-3 3.311311+0 2.297863-3 3.845918+0 1.853161-3 4.518559+0 1.481093-3 5.308844+0 1.192856-3 6.382635+0 9.392162-4 7.673615+0 7.449006-4 9.332543+0 5.867012-4 1.161449+1 4.528507-4 1.445440+1 3.520015-4 1.862087+1 2.648042-4 2.511886+1 1.907894-4 3.467369+1 1.350239-4 4.731513+1 9.731806-5 7.585776+1 5.965510-5 1.462177+2 3.051928-5 2.917427+2 1.518066-5 1.161449+3 3.790618-6 1.000000+5 4.394600-8 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 6.968800-3 1.332900-4 1.000000+5 1.332900-4 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 6.968800-3 9.881500-4 1.000000+5 9.881500-4 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 6.968800-3 5.847360-3 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.776900-3 4.562097+4 1.883649-3 4.273147+4 2.000000-3 3.943540+4 2.113489-3 3.673966+4 2.238721-3 3.387384+4 2.818383-3 2.409262+4 3.054921-3 2.131212+4 3.349654-3 1.835603+4 3.981072-3 1.379943+4 4.570882-3 1.086167+4 5.188000-3 8.684234+3 6.300000-3 6.088180+3 7.413102-3 4.478862+3 8.511380-3 3.430212+3 9.885531-3 2.553775+3 1.174898-2 1.802234+3 1.380384-2 1.292077+3 1.621810-2 9.196750+2 1.905461-2 6.498346+2 2.238721-2 4.558447+2 2.650000-2 3.120220+2 3.126079-2 2.135257+2 3.672823-2 1.463605+2 4.315191-2 9.960495+1 5.069907-2 6.729996+1 5.956621-2 4.515562+1 7.079458-2 2.923018+1 8.511380-2 1.823753+1 1.035142-1 1.096279+1 1.333521-1 5.621397+0 2.371374-1 1.210473+0 2.917427-1 7.006176-1 3.467369-1 4.472375-1 4.027170-1 3.053733-1 4.570882-1 2.226738-1 5.188000-1 1.635353-1 5.821032-1 1.243746-1 6.531306-1 9.530499-2 7.328245-1 7.358387-2 8.317638-1 5.583401-2 9.225714-1 4.486080-2 1.011579+0 3.719298-2 1.161449+0 2.832712-2 1.303167+0 2.272805-2 1.462177+0 1.836765-2 1.640590+0 1.494999-2 1.862087+0 1.200864-2 2.113489+0 9.711263-3 2.398833+0 7.914685-3 2.722701+0 6.498479-3 3.162278+0 5.189614-3 3.672823+0 4.175746-3 4.315191+0 3.330192-3 5.069907+0 2.676112-3 6.095369+0 2.103153-3 7.328245+0 1.664820-3 8.912509+0 1.308969-3 1.109175+1 1.008713-3 1.396368+1 7.727652-4 1.800000+1 5.803200-4 2.454709+1 4.128407-4 3.311311+1 2.993077-4 4.570882+1 2.129490-4 7.413102+1 1.289261-4 1.428894+2 6.593952-5 2.851018+2 3.279162-5 1.135011+3 8.187408-6 1.000000+5 9.275500-8 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.776900-3 1.270700-4 1.000000+5 1.270700-4 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.776900-3 3.886500-6 1.000000+5 3.886500-6 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.776900-3 1.645944-3 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.604000-3 7.416505+4 1.710000-3 6.905609+4 1.757924-3 6.681519+4 1.862087-3 6.269271+4 1.950000-3 5.919460+4 2.150000-3 5.193720+4 2.371374-3 4.515227+4 2.570396-3 3.996000+4 2.800000-3 3.481360+4 3.019952-3 3.058269+4 3.467369-3 2.394449+4 3.758374-3 2.060350+4 4.315191-3 1.574410+4 4.677351-3 1.338572+4 5.308844-3 1.027309+4 5.888437-3 8.221775+3 6.683439-3 6.202475+3 7.413102-3 4.894334+3 8.413951-3 3.634667+3 9.440609-3 2.752575+3 1.059254-2 2.071431+3 1.202264-2 1.503826+3 1.364583-2 1.083811+3 1.548817-2 7.756265+2 1.778279-2 5.343084+2 2.041738-2 3.652343+2 2.344229-2 2.478089+2 2.722701-2 1.615318+2 3.162278-2 1.044987+2 3.715352-2 6.488469+1 4.415704-2 3.863437+1 5.248075-2 2.284007+1 6.531306-2 1.163385+1 8.709636-2 4.744531+0 1.462177-1 9.368368-1 1.819701-1 4.754793-1 2.187762-1 2.705269-1 2.540973-1 1.722202-1 2.917427-1 1.142749-1 3.311311-1 7.897654-2 3.758374-1 5.497699-2 4.216965-1 3.983144-2 4.731513-1 2.907306-2 5.248075-1 2.205325-2 5.821032-1 1.684481-2 6.456542-1 1.295302-2 7.161434-1 1.003026-2 7.943282-1 7.824781-3 8.709636-1 6.295860-3 9.332543-1 5.382634-3 9.885531-1 4.750011-3 1.071519+0 4.021760-3 1.174898+0 3.350819-3 1.288250+0 2.813125-3 1.428894+0 2.329204-3 1.698244+0 1.715323-3 1.927525+0 1.379968-3 2.187762+0 1.118664-3 2.483133+0 9.137909-4 2.851018+0 7.386319-4 3.311311+0 5.912195-4 3.845918+0 4.768016-4 4.518559+0 3.810728-4 5.248075+0 3.116188-4 6.309573+0 2.452462-4 7.585776+0 1.944090-4 9.225714+0 1.530604-4 1.148154+1 1.180930-4 1.445440+1 9.056663-5 1.840772+1 6.900669-5 2.511886+1 4.908779-5 3.467369+1 3.474026-5 4.731513+1 2.503960-5 7.673615+1 1.516770-5 1.513561+2 7.581722-6 3.019952+2 3.772368-6 1.202264+3 9.420908-7 1.000000+5 1.130700-8 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.604000-3 1.057900-4 1.000000+5 1.057900-4 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.604000-3 5.001500-6 1.000000+5 5.001500-6 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.604000-3 1.493209-3 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.469600-3 2.005463+5 1.504000-3 1.915759+5 1.540000-3 1.840729+5 1.640590-3 1.698208+5 1.737801-3 1.568741+5 1.883649-3 1.389651+5 2.137962-3 1.137593+5 2.317395-3 9.950727+4 2.511886-3 8.648202+4 2.720000-3 7.475280+4 3.150000-3 5.668400+4 3.400000-3 4.875720+4 3.935501-3 3.613609+4 4.315191-3 2.973071+4 4.954502-3 2.196608+4 5.500000-3 1.734376+4 6.237348-3 1.295006+4 7.017000-3 9.769566+3 7.852356-3 7.417150+3 9.015711-3 5.239879+3 1.023293-2 3.778130+3 1.150000-2 2.775940+3 1.300000-2 1.995100+3 1.479108-2 1.398759+3 1.698244-2 9.487164+2 1.950000-2 6.381360+2 2.238721-2 4.260648+2 2.570396-2 2.823106+2 2.985383-2 1.793235+2 3.467369-2 1.130170+2 4.027170-2 7.072939+1 4.731513-2 4.238760+1 5.623413-2 2.430768+1 6.839116-2 1.284425+1 8.912509-2 5.368309+0 1.188502-1 2.065708+0 1.548817-1 8.597421-1 1.862087-1 4.702399-1 2.213095-1 2.690128-1 2.540973-1 1.733058-1 2.884032-1 1.166506-1 3.235937-1 8.197335-2 3.630781-1 5.803621-2 4.027170-1 4.282687-2 4.466836-1 3.182416-2 4.897788-1 2.460274-2 5.370318-1 1.915304-2 5.888437-1 1.501305-2 6.456542-1 1.184734-2 7.079458-1 9.412771-3 7.762471-1 7.529818-3 8.609938-1 5.889981-3 9.225714-1 5.030668-3 9.885531-1 4.327743-3 1.071519+0 3.664682-3 1.174898+0 3.053313-3 1.288250+0 2.563134-3 1.428894+0 2.121926-3 1.698244+0 1.562546-3 1.927525+0 1.256949-3 2.187762+0 1.018697-3 2.483133+0 8.320237-4 2.851018+0 6.724922-4 3.311311+0 5.382609-4 3.845918+0 4.340855-4 4.518559+0 3.469337-4 5.248075+0 2.837026-4 6.309573+0 2.232783-4 7.585776+0 1.769943-4 9.225714+0 1.393468-4 1.148154+1 1.075148-4 1.428894+1 8.354125-5 1.840772+1 6.282425-5 2.511886+1 4.469112-5 3.427678+1 3.201777-5 4.677351+1 2.307179-5 7.498942+1 1.414072-5 1.445440+2 7.232998-6 2.884032+2 3.597414-6 1.148154+3 8.982071-7 1.000000+5 1.029400-8 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.469600-3 9.816000-5 1.000000+5 9.816000-5 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.469600-3 2.129800-6 1.000000+5 2.129800-6 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.469600-3 1.369310-3 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.167200-3 4.731056+5 1.195000-3 5.088851+5 1.196000-3 5.078296+5 1.223000-3 5.347686+5 1.244515-3 5.490330+5 1.273503-3 5.571288+5 1.288250-3 5.561849+5 1.303167-3 5.535914+5 1.318257-3 5.488550+5 1.333521-3 5.357438+5 1.548817-3 3.718912+5 1.690000-3 2.984436+5 1.862087-3 2.319028+5 2.018366-3 1.868050+5 2.238721-3 1.404106+5 2.454709-3 1.084390+5 2.691535-3 8.302155+4 3.070000-3 5.633520+4 3.427678-3 4.033622+4 3.845918-3 2.830374+4 4.315191-3 1.969392+4 4.841724-3 1.362725+4 5.559043-3 8.674279+3 6.165950-3 6.143352+3 7.017000-3 3.966694+3 8.128305-3 2.388810+3 9.332543-3 1.470449+3 1.059254-2 9.358104+2 1.202264-2 5.916917+2 1.364583-2 3.717229+2 1.566751-2 2.222817+2 1.800000-2 1.316684+2 2.065380-2 7.784534+1 2.426610-2 4.172649+1 2.851018-2 2.220092+1 3.427678-2 1.071376+1 4.216965-2 4.682647+0 5.559043-2 1.539697+0 8.912509-2 2.291844-1 1.096478-1 9.991319-2 1.303167-1 5.036430-2 1.531088-1 2.675974-2 1.778279-1 1.498655-2 2.041738-1 8.842782-3 2.317395-1 5.491472-3 2.600160-1 3.585296-3 2.917427-1 2.357377-3 3.273407-1 1.561218-3 3.630781-1 1.085431-3 4.000000-1 7.783821-4 4.415705-1 5.591190-4 4.841724-1 4.136711-4 5.370318-1 2.970081-4 5.888437-1 2.228201-4 6.456542-1 1.683684-4 7.079458-1 1.281566-4 8.609938-1 7.302745-5 9.120108-1 6.231093-5 9.549926-1 5.521717-5 1.000000+0 4.925513-5 1.047129+0 4.427078-5 1.096478+0 4.007911-5 1.148154+0 3.650804-5 1.216186+0 3.271681-5 1.318257+0 2.829075-5 1.513561+0 2.233848-5 1.840772+0 1.586217-5 2.065380+0 1.305646-5 2.344229+0 1.062721-5 2.660725+0 8.714033-6 3.054921+0 7.069710-6 3.548134+0 5.678482-6 4.168694+0 4.521202-6 4.897788+0 3.627139-6 5.821032+0 2.888744-6 7.000000+0 2.282000-6 8.511380+0 1.791544-6 1.047129+1 1.397138-6 1.318257+1 1.068156-6 1.737801+1 7.810802-7 2.371374+1 5.547095-7 3.198895+1 4.019038-7 4.466836+1 2.823133-7 7.244360+1 1.708698-7 1.364583+2 8.942838-8 2.722701+2 4.445467-8 1.083927+3 1.109639-8 1.000000+5 1.20040-10 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.167200-3 6.889500-5 1.000000+5 6.889500-5 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.167200-3 4.933700-6 1.000000+5 4.933700-6 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.167200-3 1.093371-3 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.137800-3 1.095874+6 1.364583-3 7.312412+5 1.380384-3 7.138601+5 1.500000-3 5.819388+5 1.640590-3 4.634372+5 1.778279-3 3.753419+5 1.972423-3 2.839474+5 2.213095-3 2.061072+5 2.400000-3 1.639200+5 2.630268-3 1.254231+5 3.019952-3 8.317654+4 3.349654-3 6.059440+4 3.758374-3 4.238748+4 4.216965-3 2.941864+4 4.731513-3 2.028578+4 5.370318-3 1.336822+4 6.025596-3 9.084727+3 6.800000-3 6.012600+3 7.673615-3 3.952189+3 8.810489-3 2.426130+3 1.011579-2 1.476749+3 1.161449-2 8.915262+2 1.333521-2 5.339581+2 1.548817-2 3.037147+2 1.778279-2 1.789958+2 2.041738-2 1.047426+2 2.371374-2 5.818010+1 2.786121-2 3.064332+1 3.311311-2 1.530033+1 4.027170-2 6.904774+0 5.069907-2 2.685131+0 9.225714-2 2.270709-1 1.122019-1 1.019005-1 1.318257-1 5.304485-2 1.513561-1 3.051629-2 1.717908-1 1.850466-2 1.927525-1 1.181951-2 2.041738-1 9.480889-3 2.398833-1 5.169737-3 2.660725-1 3.526422-3 2.917427-1 2.526753-3 3.198895-1 1.822871-3 3.507519-1 1.324625-3 3.845918-1 9.698698-4 4.168694-1 7.432111-4 4.518559-1 5.731104-4 4.897788-1 4.447157-4 5.308844-1 3.473385-4 5.754399-1 2.729937-4 6.382635-1 2.018091-4 6.918310-1 1.606931-4 7.444800-1 1.315888-4 8.035261-1 1.078404-4 8.609938-1 9.058038-5 9.120108-1 7.876854-5 9.660509-1 6.893147-5 1.023293+0 6.077386-5 1.096478+0 5.266782-5 1.174898+0 4.595160-5 1.273503+0 3.946107-5 1.412538+0 3.270541-5 1.737801+0 2.269723-5 1.972423+0 1.827701-5 2.238721+0 1.483496-5 2.540973+0 1.213260-5 2.917427+0 9.818407-6 3.388442+0 7.867750-6 3.935501+0 6.352114-6 4.623810+0 5.082225-6 5.370318+0 4.160234-6 6.531306+0 3.229342-6 7.852356+0 2.563562-6 9.549926+0 2.020849-6 1.202264+1 1.540218-6 1.531087+1 1.167543-6 1.949845+1 8.911337-7 2.630268+1 6.427232-7 3.890451+1 4.231259-7 6.165950+1 2.616180-7 1.035142+2 1.536220-7 2.065380+2 7.616114-8 8.222427+2 1.897586-8 5.188000+4 2.99945-10 1.000000+5 1.55610-10 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.137800-3 6.519200-5 1.000000+5 6.519200-5 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.137800-3 9.781800-9 1.000000+5 9.781800-9 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.137800-3 1.072598-3 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 3.577000-4 1.064300+5 3.780000-4 1.038472+5 3.981072-4 1.007765+5 4.850000-4 8.588120+4 5.188000-4 8.075180+4 5.821032-4 7.153533+4 6.456542-4 6.387762+4 7.000000-4 5.804140+4 8.128305-4 4.804439+4 8.912509-4 4.251737+4 1.023293-3 3.504184+4 1.150000-3 2.957560+4 1.350000-3 2.319400+4 1.531087-3 1.902732+4 1.778279-3 1.493231+4 2.113489-3 1.118965+4 2.511886-3 8.312751+3 3.019952-3 6.004054+3 3.672823-3 4.212143+3 4.415704-3 2.995350+3 5.370318-3 2.069785+3 6.500000-3 1.432798+3 7.852356-3 9.880836+2 9.440609-3 6.826667+2 1.135011-2 4.679028+2 1.348963-2 3.259921+2 1.603245-2 2.255015+2 1.905461-2 1.548561+2 2.264644-2 1.055489+2 2.691535-2 7.139061+1 3.162278-2 4.920974+1 3.758374-2 3.277117+1 4.466836-2 2.165311+1 5.248075-2 1.460303+1 6.237348-2 9.502545+0 7.498942-2 5.963172+0 8.810489-2 3.940252+0 1.096478-1 2.226878+0 1.445440-1 1.073283+0 2.371374-1 2.863575-1 2.917427-1 1.657672-1 3.467369-1 1.058399-1 4.027170-1 7.228258-2 4.570882-1 5.271860-2 5.188000-1 3.872481-2 5.821032-1 2.945548-2 6.531306-1 2.257128-2 7.328245-1 1.742635-2 8.222427-1 1.355411-2 9.120108-1 1.088110-2 1.000000+0 9.013104-3 1.148154+0 6.860338-3 1.288250+0 5.500377-3 1.445440+0 4.442062-3 1.621810+0 3.612530-3 1.840772+0 2.899697-3 2.089296+0 2.344157-3 2.371374+0 1.909425-3 2.691535+0 1.566633-3 3.126079+0 1.250141-3 3.630781+0 1.005305-3 4.265795+0 8.012984-4 5.011872+0 6.435497-4 6.000000+0 5.083000-4 7.244360+0 3.999813-4 8.810489+0 3.143519-4 1.100000+1 2.412300-4 1.380384+1 1.854311-4 1.778279+1 1.393000-4 2.426610+1 9.899895-5 3.273407+1 7.175728-5 4.518559+1 5.104172-5 7.328245+1 3.089714-5 1.396368+2 1.598521-5 2.786121+2 7.948001-6 1.109175+3 1.984244-6 1.000000+5 2.196600-8 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 3.577000-4 6.968000-5 1.000000+5 6.968000-5 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.577000-4 1.729000-8 1.000000+5 1.729000-8 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.577000-4 2.880027-4 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 2.900500-4 8.665582+4 3.350000-4 8.422440+4 4.073803-4 8.122984+4 4.466836-4 7.919641+4 4.786301-4 7.724343+4 5.150000-4 7.472860+4 5.500000-4 7.205640+4 5.900000-4 6.880680+4 6.456542-4 6.432807+4 6.918310-4 6.073129+4 7.500000-4 5.635060+4 8.222426-4 5.134543+4 8.912509-4 4.703457+4 9.772372-4 4.222285+4 1.083927-3 3.711361+4 1.190000-3 3.279520+4 1.333521-3 2.797080+4 1.479108-3 2.401084+4 1.659587-3 2.010979+4 1.862087-3 1.670013+4 2.070000-3 1.398640+4 2.344229-3 1.126517+4 2.660725-3 8.960729+3 3.000000-3 7.159580+3 3.388442-3 5.661047+3 3.845918-3 4.400909+3 4.365158-3 3.395675+3 4.954502-3 2.600532+3 5.623413-3 1.976968+3 6.309573-3 1.530809+3 7.079458-3 1.178083+3 8.000000-3 8.860340+2 9.120108-3 6.478411+2 1.035142-2 4.750034+2 1.174898-2 3.458025+2 1.333521-2 2.499999+2 1.531087-2 1.741478+2 1.757924-2 1.203805+2 2.018366-2 8.259379+1 2.317395-2 5.625549+1 2.691535-2 3.682444+1 3.126079-2 2.392165+1 3.672823-2 1.491146+1 4.365158-2 8.914369+0 5.188000-2 5.289763+0 6.382635-2 2.803267+0 8.317638-2 1.234268+0 1.496236-1 1.978758-1 1.862087-1 1.007316-1 2.238721-1 5.745432-2 2.600160-1 3.665401-2 3.000000-1 2.402582-2 3.427678-1 1.632898-2 3.890451-1 1.139921-2 4.365158-1 8.282126-3 4.897788-1 6.061746-3 5.495409-1 4.470915-3 6.095369-1 3.423661-3 6.760830-1 2.640797-3 7.498942-1 2.051960-3 8.609938-1 1.478750-3 9.225714-1 1.262789-3 9.885531-1 1.085981-3 1.071519+0 9.192967-4 1.174898+0 7.659294-4 1.288250+0 6.430709-4 1.428894+0 5.324625-4 1.698244+0 3.921115-4 1.927525+0 3.154185-4 2.187762+0 2.556489-4 2.483133+0 2.088051-4 2.851018+0 1.687647-4 3.311311+0 1.350799-4 3.845918+0 1.089387-4 4.518559+0 8.706487-5 5.248075+0 7.119523-5 6.309573+0 5.603149-5 7.585776+0 4.441763-5 9.225714+0 3.497014-5 1.148154+1 2.698081-5 1.445440+1 2.069199-5 1.840772+1 1.576621-5 2.511886+1 1.121547-5 3.427678+1 8.035129-6 4.677351+1 5.789984-6 7.498942+1 3.548622-6 1.445440+2 1.815128-6 2.884032+2 9.027757-7 1.148154+3 2.254143-7 1.000000+5 2.583400-9 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 2.900500-4 5.377200-5 1.000000+5 5.377200-5 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.900500-4 2.045800-8 1.000000+5 2.045800-8 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 2.900500-4 2.362575-4 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 2.603000-4 3.120400+5 2.930000-4 2.981856+5 3.235937-4 2.851537+5 3.589219-4 2.701773+5 4.027170-4 2.521602+5 4.365158-4 2.387621+5 4.731513-4 2.245202+5 5.069907-4 2.116407+5 5.559043-4 1.940322+5 6.095369-4 1.766410+5 6.606934-4 1.616109+5 7.328245-4 1.429562+5 8.035261-4 1.273723+5 8.912509-4 1.109618+5 9.885531-4 9.600533+4 1.109175-3 8.103907+4 1.230269-3 6.911147+4 1.380384-3 5.746600+4 1.531087-3 4.836516+4 1.737801-3 3.886783+4 1.972423-3 3.096721+4 2.213095-3 2.501001+4 2.500000-3 1.980792+4 2.851018-3 1.528273+4 3.273407-3 1.153235+4 3.758374-3 8.626372+3 4.300000-3 6.446640+3 4.897788-3 4.826847+3 5.500000-3 3.705924+3 6.165950-3 2.839194+3 6.918310-3 2.157528+3 7.852356-3 1.583871+3 8.810489-3 1.187901+3 1.000000-2 8.594040+2 1.135011-2 6.172085+2 1.288250-2 4.400956+2 1.462177-2 3.116153+2 1.659587-2 2.191412+2 1.905461-2 1.481269+2 2.187762-2 9.935201+1 2.511886-2 6.614124+1 2.884032-2 4.371805+1 3.349654-2 2.769882+1 3.890451-2 1.741819+1 4.570882-2 1.048866+1 5.432503-2 6.042901+0 6.606934-2 3.207774+0 8.222426-2 1.567605+0 1.584893-1 1.795359-1 1.905461-1 9.838661-2 2.238721-1 5.852120-2 2.570396-1 3.775607-2 2.917427-1 2.544720-2 3.273407-1 1.790063-2 3.672823-1 1.268702-2 4.073803-1 9.374171-3 4.518559-1 6.978929-3 5.011872-1 5.236296-3 5.495409-1 4.084430-3 6.025596-1 3.207078-3 6.606935-1 2.535539-3 7.244360-1 2.018397-3 7.943282-1 1.617861-3 8.709636-1 1.302041-3 9.332543-1 1.113637-3 9.885531-1 9.830678-4 1.071519+0 8.325532-4 1.174898+0 6.937035-4 1.288250+0 5.823264-4 1.428894+0 4.820424-4 1.698244+0 3.549261-4 1.927525+0 2.855097-4 2.187762+0 2.314037-4 2.483133+0 1.890037-4 2.851018+0 1.527637-4 3.311311+0 1.222716-4 3.845918+0 9.860721-5 4.518559+0 7.880950-5 5.248075+0 6.444547-5 6.309573+0 5.071881-5 7.585776+0 4.020678-5 9.225714+0 3.165455-5 1.148154+1 2.442248-5 1.428894+1 1.897766-5 1.840772+1 1.427089-5 2.511886+1 1.015169-5 3.467369+1 7.184792-6 4.731513+1 5.178467-6 7.585776+1 3.174342-6 1.462177+2 1.623969-6 2.917427+2 8.077557-7 1.161449+3 2.017029-7 1.000000+5 2.338400-9 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 2.603000-4 4.818400-5 1.000000+5 4.818400-5 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.603000-4 1.053900-8 1.000000+5 1.053900-8 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.603000-4 2.121055-4 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.477600-4 3.655480+5 1.481500-4 3.755928+5 1.489000-4 3.981576+5 1.520000-4 5.154480+5 1.530000-4 5.554960+5 1.538000-4 5.861640+5 1.547000-4 6.180280+5 1.555300-4 6.440934+5 1.563000-4 6.647960+5 1.570000-4 6.803640+5 1.578000-4 6.942400+5 1.587000-4 7.047360+5 1.595600-4 7.099893+5 1.605000-4 7.108360+5 1.615000-4 7.067760+5 1.627000-4 6.963640+5 1.640590-4 6.790161+5 1.655000-4 6.561480+5 1.670000-4 6.293720+5 1.690000-4 5.913080+5 1.713000-4 5.468680+5 1.740000-4 4.962040+5 1.770000-4 4.434440+5 1.810000-4 3.803744+5 1.893700-4 2.770588+5 1.930000-4 2.439128+5 1.950000-4 2.283840+5 1.980000-4 2.084084+5 2.000000-4 1.971236+5 2.020000-4 1.873144+5 2.041738-4 1.781847+5 2.066500-4 1.695439+5 2.090000-4 1.629020+5 2.113489-4 1.576205+5 2.137962-4 1.534158+5 2.162719-4 1.503475+5 2.190000-4 1.481848+5 2.213095-4 1.472344+5 2.240000-4 1.470184+5 2.270000-4 1.477592+5 2.300000-4 1.493824+5 2.340000-4 1.526760+5 2.380000-4 1.570064+5 2.430000-4 1.635000+5 2.511886-4 1.758697+5 2.691535-4 2.060797+5 2.800000-4 2.242144+5 2.894700-4 2.390684+5 2.985383-4 2.520592+5 3.090295-4 2.654147+5 3.200000-4 2.774524+5 3.320000-4 2.884828+5 3.430000-4 2.967580+5 3.550000-4 3.038984+5 3.672823-4 3.092997+5 3.801894-4 3.130986+5 3.935501-4 3.152853+5 4.120975-4 3.159237+5 4.315191-4 3.141986+5 4.518559-4 3.102715+5 4.731513-4 3.043822+5 4.954502-4 2.967432+5 5.248075-4 2.852866+5 5.559043-4 2.722252+5 5.900000-4 2.573540+5 6.237348-4 2.425721+5 6.683439-4 2.236722+5 7.150000-4 2.050464+5 7.673615-4 1.857080+5 8.222426-4 1.674273+5 8.810489-4 1.499613+5 9.549926-4 1.308259+5 1.035142-3 1.132726+5 1.122018-3 9.732164+4 1.216186-3 8.305381+4 1.318257-3 7.038574+4 1.445440-3 5.782631+4 1.584893-3 4.712291+4 1.730000-3 3.852340+4 1.905461-3 3.062633+4 2.113489-3 2.374447+4 2.317395-3 1.880691+4 2.540973-3 1.480787+4 2.818383-3 1.123645+4 3.126079-3 8.464333+3 3.500000-3 6.165280+3 3.900000-3 4.516400+3 4.320000-3 3.342932+3 4.841724-3 2.372567+3 5.370318-3 1.725634+3 6.025596-3 1.202244+3 6.760830-3 8.310840+2 7.585776-3 5.700876+2 8.511380-3 3.882607+2 9.549926-3 2.625251+2 1.083927-2 1.693279+2 1.230269-2 1.083866+2 1.396368-2 6.887120+1 1.584893-2 4.345719+1 1.819701-2 2.609846+1 2.089296-2 1.555573+1 2.426610-2 8.809389+0 2.818383-2 4.952104+0 3.311311-2 2.643582+0 4.000000-2 1.256356+0 5.011872-2 5.125367-1 9.549926-2 3.881069-2 1.188502-1 1.627452-2 1.412538-1 8.252545-3 1.640590-1 4.612948-3 1.883649-1 2.715017-3 2.162719-1 1.609948-3 2.454709-1 1.004650-3 2.754229-1 6.590166-4 3.090295-1 4.354645-4 3.427678-1 3.019504-4 3.801894-1 2.109260-4 4.120975-1 1.605156-4 4.570882-1 1.138792-4 5.128614-1 7.842312-5 5.623413-1 5.852812-5 6.095369-1 4.557291-5 6.683439-1 3.452210-5 7.328245-1 2.635865-5 8.609938-1 1.662645-5 9.120108-1 1.419281-5 9.549926-1 1.258119-5 1.000000+0 1.122600-5 1.047129+0 1.009218-5 1.096478+0 9.137599-6 1.148154+0 8.323604-6 1.216186+0 7.458793-6 1.318257+0 6.449081-6 1.513561+0 5.091287-6 1.840772+0 3.615184-6 2.065380+0 2.975768-6 2.344229+0 2.422099-6 2.660725+0 1.986032-6 3.054921+0 1.611238-6 3.548134+0 1.294139-6 4.168694+0 1.030392-6 4.897788+0 8.266588-7 5.821032+0 6.583853-7 7.000000+0 5.200900-7 8.511380+0 4.083102-7 1.047129+1 3.184221-7 1.318257+1 2.434482-7 1.717908+1 1.803197-7 2.344229+1 1.280136-7 3.126079+1 9.387949-8 4.365158+1 6.591353-8 7.079458+1 3.987761-8 1.303167+2 2.135965-8 2.600160+2 1.061305-8 1.035142+3 2.648493-9 1.000000+5 2.73590-11 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.477600-4 3.082600-5 1.000000+5 3.082600-5 1 63000 7 7 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.477600-4 1.553300-8 1.000000+5 1.553300-8 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.477600-4 1.169185-4 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.424400-4 5.330268+5 1.450000-4 6.806820+5 1.460000-4 7.452120+5 1.470000-4 8.097720+5 1.477000-4 8.535540+5 1.485000-4 9.007560+5 1.492000-4 9.386640+5 1.500000-4 9.771540+5 1.507200-4 1.006706+6 1.515000-4 1.032828+6 1.523000-4 1.052946+6 1.532000-4 1.067574+6 1.540000-4 1.073790+6 1.550000-4 1.073376+6 1.560000-4 1.065018+6 1.571100-4 1.048134+6 1.584893-4 1.018667+6 1.600000-4 9.790380+5 1.615000-4 9.352200+5 1.635000-4 8.737860+5 1.660000-4 7.968960+5 1.690000-4 7.090680+5 1.720000-4 6.285600+5 1.820000-4 4.203312+5 1.850000-4 3.754350+5 1.880000-4 3.378270+5 1.908000-4 3.087138+5 1.930000-4 2.895132+5 1.950000-4 2.746008+5 1.973000-4 2.601666+5 1.995262-4 2.487074+5 2.018366-4 2.391547+5 2.041738-4 2.316587+5 2.065380-4 2.260583+5 2.090000-4 2.220996+5 2.113489-4 2.198991+5 2.137962-4 2.190500+5 2.162719-4 2.195088+5 2.190000-4 2.213466+5 2.220000-4 2.247456+5 2.260000-4 2.311194+5 2.300000-4 2.391486+5 2.350000-4 2.508810+5 2.580000-4 3.149400+5 2.660725-4 3.377389+5 2.754229-4 3.629050+5 2.830000-4 3.818754+5 2.917427-4 4.018470+5 3.000000-4 4.186704+5 3.100000-4 4.363704+5 3.200000-4 4.512942+5 3.320000-4 4.658784+5 3.430000-4 4.763742+5 3.550000-4 4.849614+5 3.700000-4 4.918458+5 3.850000-4 4.949538+5 4.027170-4 4.946780+5 4.216965-4 4.908108+5 4.430000-4 4.831806+5 4.623810-4 4.737571+5 4.850000-4 4.606686+5 5.128614-4 4.424480+5 5.432503-4 4.213060+5 5.754399-4 3.984460+5 6.100000-4 3.739536+5 6.531306-4 3.444077+5 7.000000-4 3.144312+5 7.500000-4 2.849976+5 8.035261-4 2.565523+5 8.609938-4 2.294852+5 9.225714-4 2.039554+5 1.000000-3 1.764930+5 1.083927-3 1.515807+5 1.175000-3 1.292549+5 1.273503-3 1.095144+5 1.400000-3 8.939700+4 1.531087-3 7.320746+4 1.678804-3 5.918431+4 1.862087-3 4.619085+4 2.070000-3 3.553698+4 2.264644-3 2.825455+4 2.483133-3 2.220484+4 2.754229-3 1.681191+4 3.054921-3 1.263522+4 3.400000-3 9.337560+3 3.758374-3 6.987191+3 4.168694-3 5.142925+3 4.677351-3 3.629132+3 5.188000-3 2.634509+3 5.754399-3 1.899454+3 6.456542-3 1.310735+3 7.244360-3 8.975318+2 8.128305-3 6.098771+2 9.120108-3 4.112402+2 1.023293-2 2.754317+2 1.148154-2 1.831891+2 1.303167-2 1.160802+2 1.479108-2 7.300160+1 1.678804-2 4.559044+1 1.927525-2 2.706791+1 2.213095-2 1.594329+1 2.540973-2 9.322416+0 2.951209-2 5.174290+0 3.467369-2 2.723711+0 4.168694-2 1.297479+0 5.188000-2 5.331138-1 9.120108-2 5.269377-2 1.109175-1 2.374139-2 1.303167-1 1.239437-2 1.513561-1 6.827350-3 1.717908-1 4.149270-3 1.927525-1 2.655525-3 2.162719-1 1.711571-3 2.398833-1 1.160512-3 2.660725-1 7.924467-4 2.951209-1 5.452949-4 3.235937-1 3.938620-4 3.548134-1 2.865034-4 3.890451-1 2.100078-4 4.216965-1 1.611273-4 4.570882-1 1.244445-4 4.954502-1 9.676852-5 5.370318-1 7.581226-5 5.821032-1 5.979751-5 6.382635-1 4.590393-5 6.918310-1 3.665494-5 7.498942-1 2.947283-5 8.317638-1 2.247712-5 8.810489-1 1.943422-5 9.332543-1 1.690777-5 9.885531-1 1.481708-5 1.047129+0 1.308712-5 1.122018+0 1.136197-5 1.202264+0 9.932197-6 1.318257+0 8.369749-6 1.462177+0 6.959086-6 1.778279+0 4.934310-6 2.018366+0 3.978512-6 2.290868+0 3.233867-6 2.600160+0 2.648215-6 3.000000+0 2.130200-6 3.467369+0 1.721535-6 4.073803+0 1.369192-6 4.786301+0 1.097249-6 5.623413+0 8.860967-7 6.839116+0 6.891351-7 8.317638+0 5.403802-7 1.023293+1 4.210597-7 1.288250+1 3.216679-7 1.678804+1 2.380949-7 2.238721+1 1.732214-7 3.054921+1 1.238058-7 4.315191+1 8.584318-8 7.079458+1 5.131173-8 1.303167+2 2.748360-8 2.600160+2 1.365679-8 5.188000+2 6.815406-9 2.065380+3 1.706677-9 1.000000+5 3.52040-11 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.424400-4 2.942700-5 1.000000+5 2.942700-5 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.424400-4 1.130130-4 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 9.770000-6 2.975832+5 1.011579-5 2.871794+5 1.050000-5 2.780415+5 1.096478-5 2.699315+5 1.135011-5 2.654810+5 1.174898-5 2.626813+5 1.216186-5 2.617542+5 1.258925-5 2.625927+5 1.303167-5 2.652343+5 1.350000-5 2.698284+5 1.400000-5 2.766651+5 1.445440-5 2.844437+5 1.500000-5 2.955957+5 1.550000-5 3.073980+5 1.621810-5 3.268361+5 1.698244-5 3.505343+5 1.778279-5 3.784379+5 1.883649-5 4.196897+5 2.018366-5 4.791046+5 2.230000-5 5.858850+5 2.600160-5 8.012204+5 2.818383-5 9.385184+5 3.019952-5 1.066274+6 3.198895-5 1.178066+6 3.400000-5 1.299609+6 3.589219-5 1.408623+6 3.801894-5 1.523780+6 4.027170-5 1.636942+6 4.300000-5 1.762791+6 4.570882-5 1.876625+6 4.900000-5 2.000871+6 5.248075-5 2.117258+6 5.559043-5 2.208039+6 5.900000-5 2.292045+6 6.237348-5 2.359736+6 6.606934-5 2.415711+6 7.000000-5 2.454894+6 7.413102-5 2.477918+6 7.852356-5 2.484516+6 8.413951-5 2.474179+6 9.015711-5 2.447827+6 9.800000-5 2.398047+6 1.047129-4 2.344675+6 1.122018-4 2.276285+6 1.192300-4 2.203571+6 1.273503-4 2.114128+6 1.364583-4 2.009201+6 1.462177-4 1.898208+6 1.584893-4 1.761460+6 1.690000-4 1.648599+6 1.800000-4 1.535307+6 1.927525-4 1.409688+6 2.041738-4 1.305103+6 2.220000-4 1.156245+6 2.371374-4 1.042991+6 2.511886-4 9.481454+5 2.700000-4 8.346750+5 2.930760-4 7.149450+5 3.126079-4 6.285447+5 3.349654-4 5.438749+5 3.589219-4 4.674429+5 3.845918-4 3.991556+5 4.120975-4 3.387267+5 4.466836-4 2.775977+5 4.841724-4 2.257758+5 5.248075-4 1.823342+5 5.688529-4 1.462621+5 6.165950-4 1.165688+5 6.760830-4 8.926579+4 7.413102-4 6.784028+4 8.128305-4 5.119008+4 8.912509-4 3.836641+4 9.772372-4 2.856322+4 1.083927-3 2.034663+4 1.202264-3 1.438847+4 1.333521-3 1.010315+4 1.479108-3 7.045633+3 1.640590-3 4.881571+3 1.840772-3 3.222472+3 2.065380-3 2.110623+3 2.317395-3 1.371856+3 2.600160-3 8.850235+2 2.917427-3 5.667946+2 3.273407-3 3.604560+2 3.672823-3 2.276218+2 4.120975-3 1.427275+2 4.623810-3 8.886951+1 5.128614-3 5.756206+1 5.754399-3 3.528354+1 6.531306-3 2.044467+1 7.413102-3 1.175645+1 8.317638-3 7.061307+0 9.549926-3 3.799085+0 1.122018-2 1.828529+0 1.303167-2 9.206357-1 1.513561-2 4.602341-1 1.757924-2 2.284744-1 2.018366-2 1.189015-1 2.344229-2 5.809026-2 2.786121-2 2.521917-2 3.589219-2 7.348658-3 6.918310-2 2.966872-4 8.413951-2 1.146478-4 9.885531-2 5.275951-5 1.148154-1 2.584615-5 1.303167-1 1.422930-5 1.462177-1 8.324681-6 1.640590-1 4.906636-6 1.840772-1 2.913975-6 2.065380-1 1.744094-6 2.290868-1 1.106497-6 2.540973-1 7.070081-7 2.818383-1 4.551746-7 3.162278-1 2.813898-7 3.427678-1 2.021472-7 3.715352-1 1.461716-7 4.000000-1 1.093100-7 4.315191-1 8.186178-8 4.731513-1 5.806262-8 5.308844-1 3.811717-8 5.821032-1 2.739414-8 6.456542-1 1.900530-8 6.918310-1 1.497840-8 7.413102-1 1.188463-8 7.943282-1 9.509291-9 8.609938-1 7.356052-9 9.015711-1 6.385792-9 9.332543-1 5.768413-9 9.660509-1 5.236155-9 1.000000+0 4.780900-9 1.035142+0 4.393624-9 1.071519+0 4.058887-9 1.122018+0 3.678221-9 1.174898+0 3.356700-9 1.244515+0 3.017669-9 1.333521+0 2.674155-9 1.513561+0 2.168550-9 1.883649+0 1.480145-9 2.089296+0 1.243467-9 2.371374+0 1.012911-9 2.691535+0 8.31037-10 3.090295+0 6.74544-10 3.589219+0 5.42125-10 4.216965+0 4.31874-10 4.954502+0 3.46656-10 5.888437+0 2.76238-10 7.079458+0 2.18371-10 8.609938+0 1.71468-10 1.059254+1 1.33781-10 1.333521+1 1.02318-10 1.737801+1 7.58135-11 2.371374+1 5.38409-11 3.198895+1 3.90102-11 4.466836+1 2.74022-11 7.244360+1 1.65844-11 1.348963+2 8.78225-12 2.691535+2 4.36524-12 1.071519+3 1.08958-12 1.000000+5 1.16520-14 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 9.770000-6 9.770000-6 1.000000+5 9.770000-6 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 9.770000-6 0.0 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 9.080000-6 4.275200+5 9.400000-6 4.113840+5 9.700000-6 3.991908+5 1.000000-5 3.894012+5 1.035142-5 3.807440+5 1.071519-5 3.747697+5 1.110000-5 3.712392+5 1.150000-5 3.703372+5 1.190000-5 3.720336+5 1.230269-5 3.760496+5 1.273503-5 3.826855+5 1.318257-5 3.918527+5 1.365000-5 4.037200+5 1.420000-5 4.204360+5 1.480000-5 4.417520+5 1.550000-5 4.703400+5 1.621810-5 5.034341+5 1.717908-5 5.531612+5 1.819701-5 6.120445+5 1.950000-5 6.958000+5 2.500000-5 1.126512+6 2.691535-5 1.293657+6 2.900000-5 1.477248+6 3.090295-5 1.642248+6 3.273407-5 1.794965+6 3.469400-5 1.950483+6 3.672823-5 2.102167+6 3.900000-5 2.258300+6 4.168694-5 2.426418+6 4.466836-5 2.594970+6 4.800000-5 2.761416+6 5.188000-5 2.930807+6 5.559043-5 3.067107+6 5.956621-5 3.184590+6 6.309573-5 3.264685+6 6.683439-5 3.322841+6 7.079458-5 3.360071+6 7.500000-5 3.374880+6 8.035261-5 3.365470+6 8.609938-5 3.333033+6 9.440609-5 3.260063+6 1.011579-4 3.184946+6 1.083927-4 3.094756+6 1.161449-4 2.984165+6 1.230269-4 2.880623+6 1.330000-4 2.722120+6 1.421500-4 2.577446+6 1.540000-4 2.395624+6 1.659587-4 2.218656+6 1.760000-4 2.076840+6 1.900000-4 1.889516+6 2.050000-4 1.703908+6 2.187762-4 1.549121+6 2.344229-4 1.391249+6 2.511886-4 1.239828+6 2.691535-4 1.095871+6 2.884032-4 9.620491+5 3.090295-4 8.382353+5 3.311311-4 7.253161+5 3.548134-4 6.233920+5 3.801894-4 5.323319+5 4.073803-4 4.517526+5 4.415704-4 3.702299+5 4.786301-4 3.011141+5 5.188000-4 2.431712+5 5.623413-4 1.950613+5 6.095369-4 1.554446+5 6.683439-4 1.190009+5 7.328245-4 9.040952+4 8.035261-4 6.820003+4 8.810489-4 5.110456+4 9.772372-4 3.665218+4 1.071519-3 2.709218+4 1.202264-3 1.839559+4 1.348963-3 1.240219+4 1.500000-3 8.562813+3 1.659587-3 5.978156+3 1.840772-3 4.109198+3 2.041738-3 2.806017+3 2.290868-3 1.822614+3 2.540973-3 1.227623+3 2.818383-3 8.213805+2 3.090295-3 5.712051+2 3.467369-3 3.596941+2 3.890451-3 2.247969+2 4.415704-3 1.330100+2 5.069907-3 7.462237+1 5.754399-3 4.360119+1 6.456542-3 2.656587+1 7.244360-3 1.605673+1 8.222426-3 9.155736+0 9.332543-3 5.181942+0 1.071519-2 2.763318+0 1.230269-2 1.462540+0 1.428894-2 7.284939-1 1.698244-2 3.233716-1 1.995262-2 1.503209-1 2.264644-2 8.185537-2 2.660725-2 3.742238-2 3.235937-2 1.434412-2 6.606934-2 4.227032-4 8.609938-2 1.152019-4 1.000000-1 5.556444-5 1.148154-1 2.854779-5 1.303167-1 1.562138-5 1.462177-1 9.096865-6 1.621810-1 5.629762-6 1.798871-1 3.509519-6 1.995262-1 2.204768-6 2.199400-1 1.434900-6 2.398833-1 9.849645-7 2.630268-1 6.653807-7 2.917427-1 4.315593-7 3.162278-1 3.102094-7 3.427678-1 2.246321-7 3.672823-1 1.714946-7 3.935501-1 1.319931-7 4.216965-1 1.022232-7 4.570882-1 7.643427-8 4.954502-1 5.754596-8 5.370318-1 4.366394-8 5.821032-1 3.339584-8 6.309573-1 2.574967-8 6.760830-1 2.074304-8 7.244360-1 1.681660-8 7.762471-1 1.372192-8 8.317638-1 1.127259-8 8.912509-1 9.325438-9 9.549926-1 7.754604-9 9.885531-1 7.105901-9 1.023293+0 6.543871-9 1.071519+0 5.902305-9 1.122018+0 5.358468-9 1.188502+0 4.785302-9 1.273503+0 4.213693-9 1.380384+0 3.660352-9 1.513561+0 3.133601-9 1.840772+0 2.224981-9 2.044000+0 1.863400-9 2.317395+0 1.518568-9 2.630268+0 1.244341-9 3.019952+0 1.008848-9 3.507519+0 8.09849-10 4.120975+0 6.44454-10 4.841724+0 5.16733-10 5.688529+0 4.17518-10 6.918310+0 3.24869-10 8.413951+0 2.54863-10 1.035142+1 1.98671-10 1.303167+1 1.51834-10 1.698244+1 1.12423-10 2.290868+1 8.07944-11 3.090295+1 5.84945-11 4.365158+1 4.05679-11 7.161434+1 2.42538-11 1.318257+2 1.29931-11 2.630268+2 6.45669-12 1.047129+3 1.61137-12 1.000000+5 1.68390-14 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 9.080000-6 9.080000-6 1.000000+5 9.080000-6 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 9.080000-6 0.0 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 4.921000-5 5.202400+4 5.000000-5 5.276740+4 5.110000-5 5.418180+4 5.248075-5 5.639713+4 5.432503-5 5.987036+4 6.025596-5 7.242467+4 6.309573-5 7.831107+4 6.580000-5 8.352220+4 6.839116-5 8.805463+4 7.079458-5 9.181093+4 7.328245-5 9.522312+4 7.585776-5 9.823134+4 7.900000-5 1.011958+5 8.222426-5 1.034664+5 8.511380-5 1.048933+5 8.912509-5 1.060488+5 9.332543-5 1.064182+5 9.800000-5 1.060618+5 1.035142-4 1.049033+5 1.100000-4 1.028784+5 1.174898-4 1.000246+5 1.260000-4 9.641600+4 1.350000-4 9.235400+4 1.450000-4 8.769180+4 1.566751-4 8.226070+4 1.698244-4 7.641156+4 1.883649-4 6.894939+4 2.089296-4 6.177641+4 2.317395-4 5.494454+4 2.630268-4 4.719233+4 3.019952-4 3.968900+4 3.427678-4 3.363880+4 4.073803-4 2.662264+4 4.786301-4 2.123690+4 5.688529-4 1.655364+4 6.918310-4 1.237492+4 8.413951-4 9.170555+3 1.000000-3 6.989680+3 1.188502-3 5.290588+3 1.412538-3 3.976990+3 1.698244-3 2.910870+3 2.041738-3 2.114547+3 2.483133-3 1.494359+3 3.019952-3 1.047607+3 3.715352-3 7.141250+2 4.570882-3 4.830863+2 5.623413-3 3.242773+2 6.918310-3 2.160658+2 8.413951-3 1.461539+2 1.011579-2 1.004336+2 1.216186-2 6.849880+1 1.462177-2 4.636639+1 1.757924-2 3.113648+1 2.187762-2 1.923090+1 2.600160-2 1.305703+1 3.054921-2 9.032857+0 3.589219-2 6.192419+0 4.216965-2 4.213888+0 5.011872-2 2.768116+0 5.956621-2 1.804494+0 7.161434-2 1.134383+0 8.413951-2 7.508482-1 1.035142-1 4.379722-1 1.333521-1 2.247030-1 2.371374-1 4.844602-2 2.917427-1 2.805170-2 3.467369-1 1.791145-2 4.027170-1 1.223257-2 4.570882-1 8.921843-3 5.188000-1 6.553734-3 5.821032-1 4.985127-3 6.531306-1 3.820188-3 7.328245-1 2.949543-3 8.222427-1 2.294243-3 9.120108-1 1.841866-3 1.000000+0 1.525600-3 1.148154+0 1.161158-3 1.288250+0 9.310252-4 1.445440+0 7.518921-4 1.621810+0 6.114792-4 1.840772+0 4.908186-4 2.089296+0 3.967841-4 2.371374+0 3.231967-4 2.691535+0 2.651707-4 3.090295+0 2.152454-4 3.589219+0 1.729895-4 4.216965+0 1.378080-4 4.954502+0 1.106154-4 5.888437+0 8.814854-5 7.079458+0 6.968365-5 8.609938+0 5.471675-5 1.071519+1 4.211197-5 1.348963+1 3.222319-5 1.757924+1 2.388323-5 2.400000+1 1.695800-5 3.235937+1 1.229650-5 4.466836+1 8.744199-6 7.244360+1 5.292246-6 1.348963+2 2.802472-6 2.691535+2 1.392934-6 1.071519+3 3.476815-7 1.000000+5 3.718100-9 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 4.921000-5 4.921000-5 1.000000+5 4.921000-5 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.921000-5 0.0 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 3.061000-5 7.463740+6 3.198895-5 6.231906+6 3.350000-5 5.200360+6 3.507519-5 4.368788+6 4.315191-5 2.031593+6 5.623413-5 7.508754+5 6.165950-5 5.348287+5 6.683439-5 4.004439+5 7.161434-5 3.145717+5 7.650000-5 2.515080+5 8.035261-5 2.140810+5 8.500000-5 1.792690+5 8.912509-5 1.553736+5 9.332543-5 1.360644+5 9.800000-5 1.190726+5 1.023293-4 1.065214+5 1.071519-4 9.525807+4 1.122018-4 8.579044+4 1.174898-4 7.779847+4 1.230269-4 7.102105+4 1.288250-4 6.524918+4 1.350000-4 6.023980+4 1.412538-4 5.608446+4 1.480000-4 5.239280+4 1.566751-4 4.854182+4 1.659587-4 4.522632+4 1.778279-4 4.182746+4 1.950000-4 3.799400+4 2.187762-4 3.398369+4 3.200000-4 2.394340+4 3.715352-4 2.072810+4 4.265795-4 1.802267+4 4.841724-4 1.574466+4 5.500000-4 1.365332+4 6.200000-4 1.186244+4 7.000000-4 1.022278+4 7.943282-4 8.692741+3 9.015711-4 7.335278+3 1.023293-3 6.142492+3 1.161449-3 5.104562+3 1.318257-3 4.209445+3 1.500000-3 3.430760+3 1.698244-3 2.797053+3 1.927525-3 2.254198+3 2.187762-3 1.803425+3 2.483133-3 1.432410+3 2.818383-3 1.129653+3 3.198895-3 8.847153+2 3.630781-3 6.881111+2 4.120975-3 5.314884+2 4.677351-3 4.076735+2 5.308844-3 3.105078+2 6.025596-3 2.348340+2 6.839116-3 1.763530+2 7.762471-3 1.314571+2 8.810489-3 9.729996+1 1.000000-2 7.149480+1 1.135011-2 5.215833+1 1.288250-2 3.778828+1 1.513561-2 2.488838+1 1.717908-2 1.777166+1 1.972423-2 1.221081+1 2.264644-2 8.330920+0 2.630268-2 5.463163+0 3.054921-2 3.555198+0 3.589219-2 2.219878+0 4.265795-2 1.329267+0 5.069907-2 7.900175-1 6.165950-2 4.343960-1 7.943282-2 1.985701-1 1.548817-1 2.480321-2 1.905461-1 1.309705-2 2.264644-1 7.743003-3 2.630268-1 4.942933-3 3.019952-1 3.288717-3 3.427678-1 2.278809-3 3.890451-1 1.590771-3 4.365158-1 1.155805-3 4.897788-1 8.459838-4 5.495409-1 6.240022-4 6.095369-1 4.778386-4 6.760830-1 3.685213-4 7.498942-1 2.863026-4 8.609938-1 2.063074-4 9.225714-1 1.761854-4 9.885531-1 1.515317-4 1.071519+0 1.282888-4 1.174898+0 1.068821-4 1.288250+0 8.972883-5 1.428894+0 7.429009-5 1.698244+0 5.470588-5 1.927525+0 4.400641-5 2.187762+0 3.566882-5 2.483133+0 2.913340-5 2.851018+0 2.354651-5 3.311311+0 1.884606-5 3.845918+0 1.519842-5 4.518559+0 1.214698-5 5.248075+0 9.933114-6 6.309573+0 7.817448-6 7.585776+0 6.197146-6 9.225714+0 4.878920-6 1.148154+1 3.764332-6 1.445440+1 2.886896-6 1.862087+1 2.171771-6 2.511886+1 1.564742-6 3.467369+1 1.107416-6 4.731513+1 7.981566-7 7.585776+1 4.892642-7 1.462177+2 2.503076-7 2.917427+2 1.245001-7 1.161449+3 3.108909-8 1.000000+5 3.60430-10 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 3.061000-5 3.061000-5 1.000000+5 3.061000-5 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.061000-5 0.0 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.656000-5 1.617980+7 2.754229-5 1.374965+7 2.851018-5 1.185514+7 2.951209-5 1.027625+7 3.122000-5 8.209594+6 3.388442-5 5.981130+6 4.300000-5 2.415808+6 4.677351-5 1.763060+6 5.011872-5 1.369337+6 5.308844-5 1.115834+6 5.623413-5 9.152517+5 5.956621-5 7.563999+5 6.237348-5 6.533758+5 6.531306-5 5.677756+5 6.839116-5 4.966401+5 7.161434-5 4.375144+5 7.500000-5 3.882088+5 7.852356-5 3.474127+5 8.150000-5 3.193864+5 8.511380-5 2.914426+5 8.912509-5 2.664349+5 9.332543-5 2.453371+5 9.800000-5 2.263700+5 1.035142-4 2.084113+5 1.100000-4 1.916148+5 1.174898-4 1.762600+5 1.273503-4 1.604667+5 1.400000-4 1.449616+5 1.603245-4 1.265840+5 2.137962-4 9.554184+4 2.511886-4 8.108311+4 2.917427-4 6.916561+4 3.311311-4 6.009859+4 3.801894-4 5.120250+4 4.365158-4 4.331905+4 5.011872-4 3.637289+4 5.754399-4 3.032480+4 6.606934-4 2.508348+4 7.500000-4 2.093740+4 8.609938-4 1.707006+4 9.772372-4 1.405776+4 1.109175-3 1.149572+4 1.258925-3 9.334448+3 1.428894-3 7.526064+3 1.621810-3 6.024783+3 1.840772-3 4.788936+3 2.089296-3 3.780133+3 2.371374-3 2.963285+3 2.691535-3 2.307027+3 3.054921-3 1.783895+3 3.467369-3 1.370106+3 3.935501-3 1.045131+3 4.466836-3 7.918074+2 5.069907-3 5.957489+2 5.754399-3 4.451132+2 6.531306-3 3.302108+2 7.413102-3 2.431794+2 8.413951-3 1.777790+2 9.549926-3 1.290116+2 1.083927-2 9.292390+1 1.230269-2 6.644613+1 1.396368-2 4.717836+1 1.603245-2 3.222283+1 1.840772-2 2.183739+1 2.113489-2 1.468436+1 2.426610-2 9.799398+0 2.786121-2 6.492548+0 3.198895-2 4.271405+0 3.715352-2 2.693442+0 4.365158-2 1.626569+0 5.128614-2 9.750627-1 6.165950-2 5.385866-1 7.673615-2 2.639669-1 1.023293-1 1.023887-1 1.479108-1 3.029798-2 1.819701-1 1.537786-2 2.187762-1 8.482140-3 2.511886-1 5.466612-3 2.851018-1 3.679979-3 3.198895-1 2.585407-3 3.589219-1 1.829801-3 4.000000-1 1.331600-3 4.415705-1 1.003590-3 4.897788-1 7.518021-4 5.370318-1 5.855110-4 5.888437-1 4.590051-4 6.456542-1 3.623056-4 7.079458-1 2.879573-4 7.762471-1 2.304568-4 8.609938-1 1.804114-4 9.225714-1 1.541712-4 9.885531-1 1.326783-4 1.071519+0 1.123727-4 1.174898+0 9.363576-5 1.288250+0 7.860154-5 1.428894+0 6.506105-5 1.698244+0 4.790192-5 1.927525+0 3.853422-5 2.187762+0 3.123294-5 2.483133+0 2.551024-5 2.851018+0 2.061844-5 3.311311+0 1.650276-5 3.845918+0 1.330878-5 4.518559+0 1.063663-5 5.248075+0 8.697952-6 6.309573+0 6.845403-6 7.585776+0 5.426509-6 9.225714+0 4.272225-6 1.148154+1 3.296241-6 1.428894+1 2.561323-6 1.840772+1 1.926148-6 2.511886+1 1.370154-6 3.388442+1 9.938229-7 4.623810+1 7.159255-7 7.498942+1 4.335331-7 1.445440+2 2.217593-7 2.884032+2 1.102926-7 1.148154+3 2.753889-8 1.000000+5 3.15610-10 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.656000-5 2.656000-5 1.000000+5 2.656000-5 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.656000-5 0.0 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.160000-6 3.518220+6 5.600000-6 2.439880+6 6.025596-6 1.746545+6 6.531306-6 1.199296+6 7.000000-6 8.618140+5 7.500000-6 6.160880+5 8.035261-6 4.373753+5 8.609938-6 3.080400+5 9.225714-6 2.155220+5 1.083927-5 9.262944+4 1.135011-5 7.316408+4 1.180000-5 6.033440+4 1.220200-5 5.146175+4 1.250000-5 4.614000+4 1.280000-5 4.167020+4 1.310000-5 3.794960+4 1.342300-5 3.464645+4 1.372000-5 3.214900+4 1.400000-5 3.019460+4 1.430000-5 2.846680+4 1.462177-5 2.696763+4 1.490000-5 2.592540+4 1.515000-5 2.515960+4 1.548817-5 2.434271+4 1.584893-5 2.370459+4 1.621810-5 2.325646+4 1.659587-5 2.297277+4 1.698244-5 2.283043+4 1.750000-5 2.282400+4 1.800000-5 2.297040+4 1.870000-5 2.335420+4 1.950000-5 2.395920+4 2.089296-5 2.521557+4 2.317395-5 2.730984+4 2.483133-5 2.863074+4 2.651000-5 2.972357+4 2.818383-5 3.057054+4 3.000000-5 3.124480+4 3.198895-5 3.171849+4 3.400000-5 3.194680+4 3.589219-5 3.196213+4 3.801894-5 3.178444+4 4.073803-5 3.133271+4 4.365158-5 3.064660+4 4.677351-5 2.974060+4 5.011872-5 2.864033+4 5.400000-5 2.728420+4 5.821032-5 2.580665+4 6.309573-5 2.413619+4 6.918310-5 2.218464+4 7.673615-5 2.003887+4 8.609938-5 1.776570+4 1.000000-4 1.508082+4 1.273503-4 1.145052+4 1.548817-4 9.122945+3 1.737801-4 7.928482+3 1.949845-4 6.841752+3 2.137962-4 6.040535+3 2.454709-4 4.970382+3 3.090295-4 3.560869+3 3.845918-4 2.602218+3 4.518559-4 2.049968+3 6.237348-4 1.258181+3 7.244360-4 9.994068+2 9.332543-4 6.686135+2 1.096478-3 5.155318+2 1.318257-3 3.800769+2 1.603245-3 2.727315+2 1.949845-3 1.942034+2 2.371374-3 1.372498+2 2.884032-3 9.628565+1 3.589219-3 6.432796+1 4.415704-3 4.357555+1 5.432503-3 2.929651+1 6.760830-3 1.911224+1 8.222426-3 1.294399+1 9.885531-3 8.905568+0 1.188502-2 6.081128+0 1.428894-2 4.120959+0 1.717908-2 2.770865+0 2.041738-2 1.895844+0 2.426610-2 1.287562+0 2.884032-2 8.677990-1 3.388442-2 5.961176-1 4.027170-2 3.956161-1 4.786301-2 2.605276-1 5.623413-2 1.751343-1 6.760830-2 1.103658-1 8.128305-2 6.901572-2 1.000000-1 4.030941-2 1.273503-1 2.134406-2 1.603245-1 1.157753-2 2.344229-1 4.201553-3 2.884032-1 2.432545-3 3.427678-1 1.552978-3 3.981072-1 1.060403-3 4.518559-1 7.731086-4 5.128614-1 5.677970-4 5.754399-1 4.319681-4 6.456542-1 3.310775-4 7.244360-1 2.557443-4 8.035261-1 2.041231-4 8.912509-1 1.640013-4 9.885531-1 1.327408-4 1.148154+0 9.881370-5 1.288250+0 7.921759-5 1.462177+0 6.261139-5 1.640590+0 5.094382-5 1.862087+0 4.092034-5 2.113489+0 3.310457-5 2.398833+0 2.698432-5 2.722701+0 2.215316-5 3.162278+0 1.768812-5 3.672823+0 1.423216-5 4.315191+0 1.135028-5 5.069907+0 9.121111-6 6.025596+0 7.275484-6 7.244360+0 5.756684-6 8.810489+0 4.524236-6 1.100000+1 3.471900-6 1.380384+1 2.668723-6 1.800000+1 1.977900-6 2.454709+1 1.407114-6 3.311311+1 1.020197-6 4.518559+1 7.346087-7 7.328245+1 4.446816-7 1.380384+2 2.327751-7 2.754229+2 1.157261-7 1.096478+3 2.888887-8 1.000000+5 3.16140-10 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.160000-6 5.160000-6 1.000000+5 5.160000-6 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.160000-6 0.0 1.000000+5 1.000000+5 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 2.947980-7 1.027100+0 1.278480-6 1.027500+0 1.601290-6 1.028100+0 2.180120-6 1.028750+0 2.947980-6 1.029500+0 4.034390-6 1.030100+0 5.073730-6 1.031000+0 6.942600-6 1.032000+0 9.499210-6 1.033200+0 1.330680-5 1.034000+0 1.633530-5 1.035300+0 2.217290-5 1.036640+0 2.947980-5 1.038200+0 3.978390-5 1.039700+0 5.168730-5 1.041500+0 6.876930-5 1.043800+0 9.545400-5 1.046400+0 1.328060-4 1.048300+0 1.653470-4 1.051200+0 2.242900-4 1.054080+0 2.947980-4 1.057700+0 4.018300-4 1.061100+0 5.226810-4 1.065100+0 6.919760-4 1.070400+0 9.653850-4 1.076200+0 1.334160-3 1.080600+0 1.666150-3 1.087100+0 2.244850-3 1.093710+0 2.947980-3 1.102600+0 4.087140-3 1.110700+0 5.330120-3 1.120600+0 7.129530-3 1.133300+0 9.912190-3 1.147500+0 1.368480-2 1.158200+0 1.700670-2 1.174100+0 2.273210-2 1.190110+0 2.947980-2 1.205100+0 3.670880-2 1.227500+0 4.914560-2 1.250000+0 6.347000-2 1.265600+0 7.434560-2 1.294900+0 9.660480-2 1.320600+0 1.178150-1 1.343000+0 1.373650-1 1.382200+0 1.735320-1 1.433800+0 2.241160-1 1.500000+0 2.934000-1 1.562500+0 3.637500-1 1.617200+0 4.291000-1 1.712900+0 5.506500-1 1.838500+0 7.205950-1 1.946200+0 8.715160-1 2.000000+0 9.473000-1 2.044000+0 1.009000+0 2.163500+0 1.175980+0 2.372600+0 1.464470+0 2.647100+0 1.831620+0 3.000000+0 2.281000+0 3.500000+0 2.874370+0 4.000000+0 3.422000+0 4.750000+0 4.167070+0 5.000000+0 4.397000+0 6.000000+0 5.235000+0 7.000000+0 5.977000+0 8.000000+0 6.643000+0 9.000000+0 7.248000+0 1.000000+1 7.803000+0 1.100000+1 8.316000+0 1.200000+1 8.791000+0 1.300000+1 9.236000+0 1.400000+1 9.648000+0 1.500000+1 1.003000+1 1.600000+1 1.039000+1 1.800000+1 1.103000+1 2.000000+1 1.160000+1 2.200000+1 1.212000+1 2.400000+1 1.260000+1 2.600000+1 1.303000+1 2.800000+1 1.342000+1 3.000000+1 1.379000+1 4.000000+1 1.527000+1 5.000000+1 1.638000+1 6.000000+1 1.724000+1 8.000000+1 1.850000+1 1.000000+2 1.940000+1 1.500000+2 2.083000+1 2.000000+2 2.168000+1 3.000000+2 2.266000+1 4.000000+2 2.323000+1 5.000000+2 2.360000+1 6.000000+2 2.387000+1 8.000000+2 2.423000+1 1.000000+3 2.446000+1 1.500000+3 2.479000+1 2.000000+3 2.497000+1 3.000000+3 2.516000+1 4.000000+3 2.527000+1 5.000000+3 2.534000+1 6.000000+3 2.538000+1 8.000000+3 2.544000+1 1.000000+4 2.548000+1 1.500000+4 2.553000+1 2.000000+4 2.556000+1 3.000000+4 2.559000+1 4.000000+4 2.561000+1 5.000000+4 2.562000+1 6.000000+4 2.562000+1 8.000000+4 2.563000+1 1.000000+5 2.564000+1 1 63000 7 8 1.519600+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 6.314090-7 2.094700+0 1.111620-6 2.099900+0 1.478850-6 2.106600+0 2.057200-6 2.114000+0 2.846400-6 2.119500+0 3.543740-6 2.127900+0 4.805990-6 2.136250+0 6.314090-6 2.147000+0 8.657060-6 2.156900+0 1.124450-5 2.169000+0 1.500650-5 2.184500+0 2.085950-5 2.201800+0 2.885970-5 2.214800+0 3.595690-5 2.234200+0 4.836850-5 2.253680+0 6.314090-5 2.281500+0 8.843990-5 2.307000+0 1.161650-4 2.338200+0 1.561940-4 2.377400+0 2.163100-4 2.410200+0 2.751100-4 2.446800+0 3.499550-4 2.485900+0 4.406130-4 2.532900+0 5.638920-4 2.556430+0 6.314090-4 2.611900+0 8.051240-4 2.660400+0 9.733600-4 2.745300+0 1.302800-3 2.809000+0 1.577770-3 2.904500+0 2.032570-3 3.000000+0 2.537000-3 3.125000+0 3.271090-3 3.234400+0 3.979770-3 3.425800+0 5.358110-3 3.569300+0 6.496090-3 3.784700+0 8.348690-3 4.000000+0 1.034000-2 4.250000+0 1.277470-2 4.625000+0 1.660160-2 5.000000+0 2.058000-2 5.500000+0 2.603930-2 6.000000+0 3.157000-2 6.750000+0 3.979560-2 7.000000+0 4.250000-2 8.000000+0 5.307000-2 9.000000+0 6.318000-2 1.000000+1 7.277000-2 1.100000+1 8.184000-2 1.200000+1 9.037000-2 1.300000+1 9.841000-2 1.400000+1 1.061000-1 1.500000+1 1.133000-1 1.600000+1 1.201000-1 1.800000+1 1.328000-1 2.000000+1 1.444000-1 2.200000+1 1.549000-1 2.400000+1 1.646000-1 2.600000+1 1.735000-1 2.800000+1 1.818000-1 3.000000+1 1.894000-1 4.000000+1 2.211000-1 5.000000+1 2.451000-1 6.000000+1 2.640000-1 8.000000+1 2.923000-1 1.000000+2 3.129000-1 1.500000+2 3.468000-1 2.000000+2 3.679000-1 3.000000+2 3.937000-1 4.000000+2 4.092000-1 5.000000+2 4.197000-1 6.000000+2 4.275000-1 8.000000+2 4.382000-1 1.000000+3 4.453000-1 1.500000+3 4.559000-1 2.000000+3 4.620000-1 3.000000+3 4.686000-1 4.000000+3 4.725000-1 5.000000+3 4.749000-1 6.000000+3 4.766000-1 8.000000+3 4.788000-1 1.000000+4 4.802000-1 1.500000+4 4.822000-1 2.000000+4 4.833000-1 3.000000+4 4.844000-1 4.000000+4 4.851000-1 5.000000+4 4.855000-1 6.000000+4 4.857000-1 8.000000+4 4.860000-1 1.000000+5 4.863000-1 1 63000 7 8 1.519600+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 63000 7 9 1.519600+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 6.300000+1 1.000000+5 6.300000+1 5.000000+5 6.296600+1 7.500000+5 6.293670+1 1.000000+6 6.291600+1 1.250000+6 6.288250+1 1.500000+6 6.284600+1 1.875000+6 6.276170+1 2.000000+6 6.272900+1 2.375000+6 6.262060+1 2.500000+6 6.258100+1 2.875000+6 6.245180+1 3.000000+6 6.240500+1 3.250000+6 6.230060+1 3.625000+6 6.214070+1 4.000000+6 6.198000+1 4.437500+6 6.177460+1 4.812500+6 6.158910+1 5.000000+6 6.149300+1 5.500000+6 6.121490+1 5.875000+6 6.099500+1 6.437500+6 6.065430+1 6.500000+6 6.061420+1 7.000000+6 6.030700+1 7.500000+6 5.999100+1 8.250000+6 5.951980+1 9.000000+6 5.903700+1 1.000000+7 5.837900+1 1.250000+7 5.675600+1 1.500000+7 5.509100+1 1.750000+7 5.342100+1 2.000000+7 5.172500+1 2.250000+7 4.999830+1 2.500000+7 4.828500+1 2.875000+7 4.579880+1 3.000000+7 4.500500+1 3.437500+7 4.234450+1 3.812500+7 4.024630+1 4.000000+7 3.926400+1 4.500000+7 3.682510+1 5.000000+7 3.460900+1 5.500000+7 3.257040+1 6.000000+7 3.068000+1 6.750000+7 2.809020+1 7.000000+7 2.729200+1 8.000000+7 2.442300+1 9.000000+7 2.206600+1 1.000000+8 2.017000+1 1.125000+8 1.832160+1 1.187500+8 1.755970+1 1.250000+8 1.687800+1 1.375000+8 1.570130+1 1.500000+8 1.467900+1 1.625000+8 1.373210+1 1.718800+8 1.303740+1 1.812500+8 1.234240+1 1.815400+8 1.232050+1 1.881300+8 1.182710+1 1.960400+8 1.123190+1 2.000000+8 1.093300+1 2.062500+8 1.046150+1 2.335900+8 8.672690+0 2.375000+8 8.472100+0 2.445300+8 8.149290+0 2.500000+8 7.933000+0 2.562500+8 7.721130+0 2.835900+8 6.976890+0 2.918000+8 6.749460+0 3.000000+8 6.502000+0 3.062500+8 6.298050+0 3.335900+8 5.441150+0 3.445300+8 5.178010+0 3.500000+8 5.071000+0 3.562500+8 4.970310+0 3.671900+8 4.833260+0 4.000000+8 4.539900+0 4.125000+8 4.418560+0 4.234400+8 4.303300+0 4.425800+8 4.091000+0 4.677000+8 3.811460+0 4.750000+8 3.732750+0 5.000000+8 3.477700+0 5.437500+8 3.086890+0 5.718800+8 2.855330+0 5.929700+8 2.686090+0 6.000000+8 2.630100+0 6.625000+8 2.182390+0 6.812500+8 2.080920+0 7.000000+8 1.998400+0 8.000000+8 1.726000+0 8.250000+8 1.652240+0 8.468800+8 1.583480+0 8.851600+8 1.463390+0 9.569300+8 1.268500+0 9.856400+8 1.207600+0 1.000000+9 1.181100+0 1.031300+9 1.132710+0 1.060500+9 1.096520+0 1.500000+9 8.570100-1 1.531300+9 8.385680-1 1.589800+9 8.016320-1 1.641100+9 7.677880-1 1.686000+9 7.377210-1 1.764500+9 6.855340-1 1.823400+9 6.475820-1 1.911700+9 5.937080-1 2.000000+9 5.442600-1 2.139200+9 4.756730-1 2.272600+9 4.194120-1 2.443000+9 3.587510-1 2.602800+9 3.112880-1 2.825100+9 2.573490-1 2.961100+9 2.299730-1 3.215900+9 1.876890-1 3.438900+9 1.583310-1 3.500000+9 1.512980-1 3.634100+9 1.371720-1 3.975600+9 1.079580-1 4.231700+9 9.099720-2 4.615800+9 7.133420-2 5.000000+9 5.670100-2 5.375000+9 4.586430-2 6.031300+9 3.248820-2 6.892600+9 2.160870-2 8.000000+9 1.362400-2 1.00000+10 6.810500-3 1.27030+10 3.254420-3 1.55700+10 1.745170-3 1.85560+10 1.023470-3 2.46860+10 4.324190-4 2.93940+10 2.563010-4 3.82190+10 1.172930-4 5.26990+10 4.541490-5 6.95920+10 2.009790-5 1.00000+11 6.994400-6 1.34280+11 2.981480-6 2.20600+11 7.161430-7 4.19930+11 1.145950-7 1.03480+12 9.041450-9 3.24440+12 3.75603-10 1.00000+14 3.01080-14 2.05350+15 7.06940-18 1.00000+17 1.41340-22 1 63000 7 0 1.519600+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.08000-11 1.000000+2 1.080000-9 1.000000+3 1.080000-7 1.000000+4 1.080000-5 1.000000+5 1.080000-3 5.000000+5 2.700000-2 7.500000+5 6.075000-2 1.000000+6 1.080000-1 1.250000+6 1.675220-1 1.500000+6 2.389000-1 1.875000+6 3.668440-1 2.000000+6 4.147000-1 2.375000+6 5.721770-1 2.500000+6 6.290000-1 2.875000+6 8.105210-1 3.000000+6 8.744000-1 3.250000+6 1.006260+0 3.625000+6 1.212980+0 4.000000+6 1.427800+0 4.437500+6 1.684940+0 4.812500+6 1.908130+0 5.000000+6 2.020000+0 5.500000+6 2.316380+0 5.875000+6 2.536200+0 6.437500+6 2.860290+0 6.500000+6 2.895720+0 7.000000+6 3.176200+0 7.500000+6 3.449430+0 8.250000+6 3.848930+0 9.000000+6 4.239800+0 1.000000+7 4.754000+0 1.250000+7 6.039400+0 1.500000+7 7.359000+0 1.750000+7 8.671200+0 2.000000+7 9.954000+0 2.250000+7 1.118610+1 2.500000+7 1.237400+1 2.875000+7 1.408960+1 3.000000+7 1.464300+1 3.437500+7 1.649200+1 3.812500+7 1.796590+1 4.000000+7 1.866200+1 4.500000+7 2.039100+1 5.000000+7 2.197600+1 5.500000+7 2.344670+1 6.000000+7 2.484000+1 6.750000+7 2.681870+1 7.000000+7 2.745600+1 8.000000+7 2.988900+1 9.000000+7 3.215900+1 1.000000+8 3.427500+1 1.125000+8 3.669710+1 1.187500+8 3.781350+1 1.250000+8 3.886600+1 1.375000+8 4.076690+1 1.500000+8 4.243200+1 1.625000+8 4.387550+1 1.718800+8 4.483970+1 1.812500+8 4.571990+1 1.815400+8 4.574610+1 1.881300+8 4.632120+1 1.960400+8 4.696930+1 2.000000+8 4.728100+1 2.062500+8 4.774980+1 2.335900+8 4.956370+1 2.375000+8 4.980020+1 2.445300+8 5.020170+1 2.500000+8 5.050800+1 2.562500+8 5.083860+1 2.835900+8 5.216440+1 2.918000+8 5.252650+1 3.000000+8 5.287200+1 3.062500+8 5.312310+1 3.335900+8 5.414380+1 3.445300+8 5.451560+1 3.500000+8 5.469800+1 3.562500+8 5.489430+1 3.671900+8 5.523140+1 4.000000+8 5.615900+1 4.125000+8 5.647460+1 4.234400+8 5.674440+1 4.425800+8 5.718260+1 4.677000+8 5.770320+1 4.750000+8 5.784520+1 5.000000+8 5.829800+1 5.437500+8 5.896710+1 5.718800+8 5.933550+1 5.929700+8 5.958300+1 6.000000+8 5.966000+1 6.625000+8 6.023500+1 6.812500+8 6.037320+1 7.000000+8 6.050800+1 8.000000+8 6.105600+1 8.250000+8 6.116110+1 8.468800+8 6.125060+1 8.851600+8 6.138620+1 9.569300+8 6.161230+1 9.856400+8 6.169260+1 1.000000+9 6.173200+1 1.031300+9 6.180730+1 1.060500+9 6.187550+1 1.500000+9 6.255800+1 1.531300+9 6.258490+1 1.589800+9 6.263390+1 1.641100+9 6.267270+1 1.686000+9 6.270070+1 1.764500+9 6.274800+1 1.823400+9 6.278070+1 1.911700+9 6.281820+1 2.000000+9 6.285400+1 2.139200+9 6.289040+1 2.272600+9 6.292310+1 2.443000+9 6.295570+1 2.602800+9 6.297550+1 2.825100+9 6.299300+1 2.961100+9 6.299910+1 3.215900+9 6.300990+1 3.438900+9 6.301080+1 3.500000+9 6.301030+1 3.634100+9 6.300910+1 3.975600+9 6.300620+1 4.231700+9 6.300430+1 4.615800+9 6.300150+1 5.000000+9 6.299900+1 5.375000+9 6.299920+1 6.031300+9 6.299940+1 6.892600+9 6.299970+1 8.000000+9 6.300000+1 1.00000+10 6.300000+1 1.27030+10 6.300000+1 1.55700+10 6.300000+1 1.85560+10 6.300000+1 2.46860+10 6.300000+1 2.93940+10 6.300000+1 3.82190+10 6.300000+1 5.26990+10 6.300000+1 6.95920+10 6.300000+1 1.00000+11 6.300000+1 1.34280+11 6.300000+1 2.20600+11 6.300000+1 4.19930+11 6.300000+1 1.03480+12 6.300000+1 3.24440+12 6.300000+1 1.00000+14 6.300000+1 2.05350+15 6.300000+1 1.00000+17 6.300000+1 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.246040-6 0.0 1.249107-6 7.758351-8 1.252174-6 1.535164-7 1.255241-6 2.804102-7 1.258308-6 4.728101-7 1.261375-6 7.359251-7 1.264442-6 1.057388-6 1.267509-6 1.402455-6 1.270576-6 1.717107-6 1.273643-6 1.940706-6 1.276710-6 2.024772-6 1.279777-6 1.950053-6 1.282844-6 1.733686-6 1.285911-6 1.422816-6 1.292045-6 7.538187-7 1.295112-6 4.866391-7 1.298179-6 2.900021-7 1.301246-6 1.595325-7 1.304313-6 8.101239-8 1.307380-6 0.0 1.494671-6 0.0 1.498350-6 2.292583-7 1.502028-6 4.536389-7 1.505707-6 8.286086-7 1.509386-6 1.397148-6 1.513065-6 2.174649-6 1.516744-6 3.124567-6 1.520423-6 4.144236-6 1.524102-6 5.074029-6 1.527781-6 5.734761-6 1.531460-6 5.983174-6 1.535139-6 5.762380-6 1.538818-6 5.123021-6 1.542497-6 4.204402-6 1.549855-6 2.227525-6 1.553534-6 1.438012-6 1.557213-6 8.569525-7 1.560892-6 4.714166-7 1.564570-6 2.393906-7 1.568249-6 0.0 2.181261-6 0.0 2.189314-6 3.112610+0 2.191999-6 4.136985+0 2.197368-6 7.556542+0 2.202737-6 1.274137+1 2.208777-6 2.091240+1 2.218088-6 3.648323+1 2.224883-6 4.702453+1 2.230074-6 5.250601+1 2.235519-6 5.435097+1 2.241149-6 5.165072+1 2.246485-6 4.547769+1 2.255342-6 3.092754+1 2.261794-6 2.031404+1 2.267499-6 1.278358+1 2.272532-6 7.815026+0 2.277901-6 4.299110+0 2.285619-6 1.229277+0 2.288639-6 0.0 2.333621-6 0.0 2.343673-6 7.466521+0 2.345109-6 8.522283+0 2.350853-6 1.556665+1 2.356956-6 2.715834+1 2.363058-6 4.308002+1 2.373298-6 7.608398+1 2.379931-6 9.609729+1 2.386246-6 1.084900+2 2.391475-6 1.121038+2 2.397331-6 1.071548+2 2.403580-6 9.314875+1 2.412622-6 6.455925+1 2.419780-6 4.184737+1 2.425523-6 2.701521+1 2.431267-6 1.609913+1 2.437011-6 8.856264+0 2.445627-6 2.251298+0 2.448499-6 0.0 3.195380-6 0.0 3.203245-6 3.40292-15 3.211110-6 6.73343-15 3.218975-6 1.22992-14 3.226840-6 2.07381-14 3.234705-6 3.22787-14 3.242570-6 4.63785-14 3.250435-6 6.15136-14 3.258300-6 7.53146-14 3.266165-6 8.51220-14 3.274030-6 8.88092-14 3.281895-6 8.55319-14 3.289760-6 7.60418-14 3.297625-6 6.24066-14 3.313355-6 3.30635-14 3.321220-6 2.13446-14 3.329085-6 1.27199-14 3.336950-6 6.99731-15 3.344815-6 3.55331-15 3.352680-6 0.0 3.728273-6 0.0 3.746627-6 1.108107-1 3.755803-6 2.024075-1 3.764980-6 3.412882-1 3.774975-6 5.552826-1 3.794956-6 1.541700+0 3.804926-6 2.171781+0 3.816229-6 3.028704+0 3.839866-6 4.987775+0 3.849738-6 5.624626+0 3.860118-6 5.954324+0 3.869410-6 5.883019+0 3.878193-6 5.477411+0 3.887994-6 4.682788+0 3.913066-6 2.133815+0 3.923488-6 1.308928+0 3.932779-6 7.800262-1 3.942070-6 4.290988-1 3.956007-6 1.090787-1 3.960653-6 0.0 4.209333-6 0.0 4.209362-6 1.75811-14 4.219723-6 1.45660-11 4.230084-6 2.88168-11 4.240444-6 5.26274-11 4.250805-6 8.87233-11 4.261166-6 1.38077-10 4.283917-6 2.74600-10 4.304237-6 2.273179-2 4.305028-6 2.766405-2 4.315598-6 1.012660-1 4.325425-6 1.780448-1 4.336738-6 3.185967-1 4.347309-6 5.055380-1 4.360522-6 8.127143-1 4.379019-6 1.291423+0 4.389590-6 1.519656+0 4.400160-6 1.658262+0 4.412052-6 1.664320+0 4.421301-6 1.572386+0 4.431871-6 1.365376+0 4.460655-6 6.330937-1 4.463582-6 5.630340-1 4.474152-6 3.588546-1 4.484722-6 2.112956-1 4.494935-6 1.114929-1 4.512170-6 2.115955-2 4.516123-6 6.55087-12 4.530409-6 1.81950-11 4.541505-6 3.32313-11 4.547929-6 4.64098-11 4.558606-6 4.300397-3 4.570317-6 3.253263-2 4.581511-6 6.263169-2 4.592705-6 1.115072-1 4.603899-6 1.835775-1 4.615093-6 2.794576-1 4.645024-6 5.819106-1 4.648676-6 6.157259-1 4.659870-6 6.847032-1 4.671064-6 7.037914-1 4.682258-6 6.686222-1 4.694169-6 5.799974-1 4.719048-6 3.494877-1 4.728119-6 2.775209-1 4.738229-6 2.213110-1 4.749353-6 1.943387-1 4.760617-6 2.009226-1 4.775048-6 2.413448-1 4.783647-6 2.694222-1 4.797096-6 3.353951-1 4.804763-6 3.649149-1 4.816160-6 3.877542-1 4.827730-6 3.884265-1 4.870157-6 3.142044-1 4.885578-6 3.019273-1 4.920975-6 3.091714-1 5.042594-6 2.807012-1 5.102060-6 2.521565-1 5.137753-6 2.479971-1 5.189949-6 2.526403-1 5.243801-6 2.463129-1 5.269650-6 8.913870-1 5.283351-6 1.465158+0 5.296186-6 2.281946+0 5.309093-6 3.395059+0 5.347208-6 7.421405+0 5.361729-6 8.388648+0 5.374005-6 8.660266+0 5.386534-6 8.318315+0 5.400953-6 7.235207+0 5.421271-6 5.079799+0 5.437354-6 3.367561+0 5.450261-6 2.249038+0 5.463168-6 1.425364+0 5.476075-6 8.782634-1 5.501888-6 2.081077-1 5.687519-6 1.852342-1 5.715955-6 6.691327-1 5.730166-6 1.075373+0 5.744481-6 1.697428+0 5.759083-6 2.565032+0 5.799731-6 5.495715+0 5.814796-6 6.198884+0 5.828385-6 6.419266+0 5.842384-6 6.159320+0 5.857258-6 5.410266+0 5.879569-6 3.799888+0 5.897506-6 2.494883+0 5.911505-6 1.666939+0 5.925504-6 1.057229+0 5.939503-6 6.561080-1 5.967501-6 1.937070-1 5.979982-6 2.162907-1 5.994594-6 2.570536-1 6.009205-6 3.132922-1 6.053038-6 5.239909-1 6.067649-6 5.716453-1 6.082712-6 5.882363-1 6.097684-6 5.684674-1 6.112655-6 5.169986-1 6.155315-6 3.044025-1 6.169926-6 2.447479-1 6.184538-6 2.005312-1 6.199149-6 1.707949-1 6.228371-6 1.335147-1 6.655342-6 1.045299-1 7.114112-6 8.115775-2 7.491984-6 6.646186-2 7.528865-6 8.866951-2 7.547306-6 1.074779-1 7.565747-6 1.363220-1 7.584187-6 1.759925-1 7.629755-6 2.972578-1 7.643005-6 3.307770-1 7.657949-6 3.580643-1 7.676390-6 3.703585-1 7.694831-6 3.583429-1 7.716624-6 3.159009-1 7.768593-6 1.729875-1 7.787033-6 1.315436-1 7.805474-6 1.008996-1 7.823915-6 8.038582-2 7.860796-6 5.493540-2 8.043548-6 5.012814-2 8.083145-6 5.813650-2 8.102943-6 6.510039-2 8.122741-6 7.590618-2 8.142539-6 9.085938-2 8.170952-6 1.178276-1 8.204527-6 1.615419-1 8.244816-6 2.047013-1 8.309894-6 2.576201-1 8.334682-6 2.760325-1 8.354466-6 2.834112-1 8.374250-6 2.823352-1 8.394034-6 2.714158-1 8.420359-6 2.428412-1 8.458987-6 1.911966-1 8.492741-6 1.526900-1 8.517912-6 1.316471-1 8.535314-6 1.196466-1 8.573188-6 9.848311-2 8.602551-6 9.348845-2 8.640357-6 9.133427-2 8.722434-6 9.109265-2 8.782164-6 9.855656-2 8.804029-6 1.043027-1 8.825784-6 1.125203-1 8.906346-6 1.522794-1 8.929458-6 1.570102-1 8.950261-6 1.549355-1 8.972524-6 1.464827-1 9.042928-6 1.036779-1 9.059563-6 9.674331-2 9.076689-6 9.300659-2 9.095610-6 9.258494-2 9.123097-6 9.817571-2 9.193366-6 1.223619-1 9.215921-6 1.269752-1 9.239262-6 1.289867-1 9.331337-6 1.234834-1 9.520006-6 1.210190-1 9.625543-6 1.141607-1 9.708926-6 1.068877-1 9.775677-6 1.073088-1 9.921702-6 1.166640-1 1.113173-5 1.147015-1 1.232275-5 1.212701-1 1.361786-5 1.378486-1 1.507805-5 1.674885-1 1.664722-5 2.119483-1 1.843909-5 2.787455-1 2.043248-5 3.741769-1 2.213234-5 4.731798-1 2.224129-5 2.514918+0 2.229577-5 4.200322+0 2.235024-5 6.754115+0 2.238102-5 8.724286+0 2.240472-5 1.410689+1 2.249120-5 3.498129+1 2.254628-5 5.407016+1 2.260826-5 8.387966+1 2.266456-5 1.175673+2 2.281281-5 2.144963+2 2.288265-5 2.417379+2 2.293748-5 2.452226+2 2.299204-5 2.314415+2 2.304974-5 2.005855+2 2.320734-5 8.816326+1 2.326243-5 5.692682+1 2.331752-5 3.414971+1 2.337260-5 1.903835+1 2.346568-5 3.480729+0 2.348278-5 5.639934-1 2.408166-5 6.076087-1 2.420021-5 8.639404-1 2.425948-5 1.073015+0 2.431876-5 1.387791+0 2.437803-5 1.816675+0 2.455585-5 3.413784+0 2.464099-5 3.922089+0 2.467640-5 4.228869+0 2.481105-5 4.745008+0 2.487925-5 5.296613+0 2.493987-5 6.127350+0 2.501470-5 7.636012+0 2.511832-5 9.968953+0 2.518481-5 1.100885+1 2.525392-5 1.141235+1 2.531590-5 1.108438+1 2.541281-5 9.713206+0 2.550758-5 8.157167+0 2.556881-5 7.462231+0 2.562198-5 7.150140+0 2.567852-5 7.059160+0 2.599261-5 7.528019+0 2.611999-5 7.426337+0 2.625153-5 1.753470+1 2.631468-5 2.563606+1 2.638648-5 4.010337+1 2.645689-5 5.952282+1 2.664069-5 1.191495+2 2.671326-5 1.332820+2 2.677490-5 1.364965+2 2.684378-5 1.289560+2 2.691052-5 1.126477+2 2.709185-5 5.324947+1 2.714960-5 3.777543+1 2.721294-5 2.523478+1 2.727731-5 1.677014+1 2.740581-5 6.406294+0 2.814517-5 6.062022+0 2.834608-5 6.196858+0 2.860346-5 6.765962+0 2.888508-5 7.808222+0 2.906146-5 9.013411+0 2.925076-5 1.035425+1 2.932120-5 1.050795+1 2.943597-5 1.016626+1 2.965952-5 8.995260+0 2.975801-5 8.756755+0 3.071334-5 8.475516+0 3.136222-5 7.931121+0 3.418025-5 6.781234+0 3.716311-5 6.053825+0 4.074167-5 5.562040+0 4.545738-5 5.322376+0 4.648017-5 5.389541+0 4.779954-5 5.330483+0 5.532665-5 5.628449+0 8.717400-5 7.915364+0 1.131979-4 9.180714+0 1.294624-4 9.617752+0 1.301544-4 1.038977+1 1.307951-4 2.525983+1 1.311155-4 3.750361+1 1.314358-4 5.567588+1 1.317963-4 8.380425+1 1.326497-4 1.620062+2 1.330477-4 1.870473+2 1.334082-4 1.919086+2 1.337302-4 1.819740+2 1.340583-4 1.594617+2 1.347766-4 9.300085+1 1.349998-4 7.666626+1 1.352802-4 5.984138+1 1.355857-4 4.884921+1 1.358318-4 4.611481+1 1.359594-4 4.671310+1 1.361867-4 5.101192+1 1.365130-4 6.062820+1 1.366207-4 6.592849+1 1.374418-4 1.149960+2 1.378460-4 1.301422+2 1.381739-4 1.330690+2 1.384984-4 1.268856+2 1.389202-4 1.072441+2 1.397749-4 5.593948+1 1.401039-4 3.998628+1 1.404161-4 2.864420+1 1.407479-4 2.063257+1 1.414114-4 1.082493+1 1.430435-4 1.114526+1 1.454039-4 1.212287+1 1.551150-4 1.361701+1 1.604178-4 1.369762+1 1.867455-4 1.144348+1 2.057214-4 1.057425+1 2.315728-4 1.019181+1 2.506992-4 1.018096+1 2.536525-4 1.060315+1 2.568786-4 1.163346+1 2.592190-4 1.160808+1 2.628911-4 1.132451+1 2.828005-4 1.148092+1 2.905747-4 1.182365+1 3.507133-4 1.205731+1 3.583294-4 1.252308+1 4.788023-4 1.207570+1 9.560334-4 8.258351+0 1.101488-3 7.356229+0 1.106911-3 1.180683+1 1.109622-3 1.551519+1 1.112477-3 2.155593+1 1.115404-3 3.012903+1 1.122845-3 5.705538+1 1.126193-3 6.583919+1 1.128925-3 6.882314+1 1.131796-3 6.840916+1 1.137985-3 5.835022+1 1.141214-3 5.342391+1 1.142857-3 5.206750+1 1.144988-3 5.162519+1 1.147986-3 5.399722+1 1.153034-3 6.056478+1 1.156132-3 6.304712+1 1.158064-3 6.388921+1 1.160555-3 6.306665+1 1.163668-3 5.899181+1 1.171714-3 4.349911+1 1.174333-3 3.945188+1 1.177093-3 3.637662+1 1.179792-3 3.442964+1 1.185316-3 3.195880+1 1.257197-3 3.221062+1 1.359350-3 3.031348+1 1.438437-3 2.836781+1 1.449823-3 2.907913+1 1.469748-3 3.169594+1 1.493776-3 3.095106+1 1.576472-3 2.902096+1 1.611110-3 2.989307+1 1.749361-3 2.686297+1 1.807400-3 2.684178+1 2.160444-3 2.133984+1 2.530545-3 1.721767+1 2.860751-3 1.447320+1 3.304006-3 1.175441+1 3.726061-3 9.838469+0 4.257276-3 8.047253+0 4.868443-3 6.548867+0 5.482404-3 5.442405+0 6.266412-3 4.405604+0 6.798664-3 3.879777+0 6.846320-3 4.053616+0 6.869004-3 4.318580+0 6.893154-3 4.833151+0 6.920884-3 5.755871+0 6.984919-3 8.489772+0 7.022298-3 9.544979+0 7.060615-3 9.982239+0 7.182687-3 9.897212+0 7.491876-3 9.382704+0 7.555034-3 9.838891+0 7.668245-3 1.168573+1 7.742461-3 1.198728+1 7.925186-3 1.175919+1 8.091653-3 1.273263+1 8.284173-3 1.249886+1 9.478820-3 1.014257+1 1.083927-2 8.183042+0 1.240045-2 6.571861+0 1.425300-2 5.222085+0 1.606313-2 4.273523+0 1.815539-2 3.469438+0 2.072247-2 2.764445+0 2.319525-2 2.273060+0 2.575222-2 1.893350+0 2.892159-2 1.542887+0 3.246562-2 1.256783+0 3.639455-2 1.024560+0 4.035704-2 8.509075-1 4.538870-2 6.883197-1 4.735409-2 6.406618-1 4.763044-2 6.590180-1 4.779736-2 7.065184-1 4.792963-2 7.851944-1 4.803955-2 8.908341-1 4.817661-2 1.085308+0 4.830116-2 1.325078+0 4.854479-2 1.921503+0 4.884736-2 2.652553+0 4.906553-2 3.004093+0 4.927747-2 3.180494+0 4.967833-2 3.254103+0 5.812661-2 2.534439+0 6.628362-2 2.044771+0 7.523263-2 1.650398+0 8.564825-2 1.320672+0 9.625944-2 1.077649+0 1.087612-1 8.696675-1 1.209986-1 7.197678-1 1.357071-1 5.864991-1 1.519576-1 4.793225-1 1.687229-1 3.976524-1 1.882908-1 3.268964-1 2.108006-1 2.672867-1 2.347183-1 2.212697-1 2.624596-1 1.820314-1 2.920828-1 1.515596-1 3.237953-1 1.274482-1 3.613609-1 1.063864-1 4.029603-1 8.937640-2 4.527382-1 7.465926-2 5.073556-1 6.306218-2 5.704227-1 5.341937-2 6.387229-1 4.587252-2 7.283561-1 3.887681-2 8.335612-1 3.315480-2 9.667461-1 2.812310-2 1.173413+0 2.282033-2 1.410753+0 1.862020-2 1.696098+0 1.519311-2 1.947381+0 1.304347-2 2.341267+0 1.064279-2 2.814822+0 8.683963-3 3.384160+0 7.085659-3 4.068655+0 5.781527-3 4.891600+0 4.717424-3 5.880996+0 3.849171-3 7.070513+0 3.140722-3 8.500626+0 2.562665-3 9.760024+0 2.200081-3 1.000000+1 4.514600-3 1 63000 7 0 1.519600+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-6.247360+1 1.749848-6-6.001776+1 1.994829-6-5.653370+1 2.095325-6-5.242594+1 2.142348-6-4.798457+1 2.167890-6-4.295100+1 2.179675-6-3.829179+1 2.186630-6-3.381733+1 2.197368-6-2.701112+1 2.204582-6-2.272581+1 2.209951-6-2.124903+1 2.214817-6-2.209900+1 2.218088-6-2.412112+1 2.221947-6-2.813013+1 2.224883-6-3.258187+1 2.229361-6-4.045699+1 2.240040-6-6.291752+1 2.246181-6-5.168447+1 2.252021-6-4.503688+1 2.256426-6-4.277251+1 2.261794-6-4.281358+1 2.267499-6-4.546633+1 2.291410-6-6.275934+1 2.322687-6-4.497916+1 2.330972-6-3.811282+1 2.333800-6-3.428110+1 2.337539-6-2.966777+1 2.344391-6-2.229713+1 2.352558-6-1.168190+1 2.356092-6-8.009958+0 2.356956-6-6.824580+0 2.357629-6-6.141862+0 2.358807-6-5.230414+0 2.363058-6-2.838982+0 2.364315-6-2.646821+0 2.365257-6-2.726934+0 2.366671-6-3.123383+0 2.368084-6-3.741634+0 2.368802-6-4.154791+0 2.370059-6-5.229001+0 2.371001-6-6.261307+0 2.371708-6-7.160958+0 2.373298-6-9.620931+0 2.376341-6-1.584659+1 2.378663-6-2.172478+1 2.384180-6-4.019024+1 2.388944-6-5.975441+1 2.389805-6-6.279576+1 2.391475-6-5.477755+1 2.397983-6-2.764819+1 2.402907-6-1.069594+1 2.403580-6-8.602481+0 2.404758-6-5.384009+0 2.405641-6-3.214038+0 2.406967-6-2.443479-1 2.408292-6 2.545490+0 2.409010-6 3.961331+0 2.410266-6 6.014151+0 2.411209-6 7.309226+0 2.412622-6 8.892366+0 2.414036-6 9.985648+0 2.416549-6 1.116526+1 2.418164-6 1.143234+1 2.418972-6 1.135073+1 2.422652-6 9.624924+0 2.424087-6 8.744623+0 2.424805-6 8.152688+0 2.426241-6 6.421296+0 2.428754-6 4.011851+0 2.430011-6 2.709859+0 2.430639-6 1.965426+0 2.431267-6 1.034058+0 2.437011-6-5.998005+0 2.437729-6-7.004783+0 2.438986-6-8.439805+0 2.447063-6-1.666462+1 2.449957-6-2.080685+1 2.454316-6-2.483913+1 2.461531-6-2.942141+1 2.472930-6-3.433880+1 2.492476-6-3.969523+1 2.524788-6-4.483445+1 2.580370-6-4.949311+1 2.686658-6-5.359619+1 2.937525-6-5.714629+1 3.728273-6-6.128335+1 3.825446-6-6.298674+1 3.869410-6-5.887261+1 3.904209-6-5.621005+1 4.036504-6-5.916666+1 4.389590-6-6.080102+1 4.474152-6-5.949289+1 4.671064-6-6.052902+1 5.203410-6-6.246415+1 5.248968-6-6.287604+1 5.324218-6-6.077691+1 5.358757-6-6.277214+1 5.411540-6-5.633395+1 5.453488-6-5.614818+1 5.558002-6-5.943498+1 5.731391-6-6.276984+1 5.796672-6-6.240931+1 5.875632-6-5.628986+1 5.950777-6-5.743790+1 6.082712-6-5.899300+1 8.394034-6-6.096432+1 1.414412-5-6.335293+1 1.800000-5-5.933841+1 1.973214-5-5.435522+1 2.065463-5-4.863829+1 2.112484-5-4.347275+1 2.148881-5-3.707317+1 2.169680-5-3.158931+1 2.185278-5-2.590248+1 2.195678-5-2.089585+1 2.203477-5-1.615081+1 2.209655-5-1.146585+1 2.211445-5-9.873531+0 2.218682-5-2.325596+0 2.221405-5 7.597576-1 2.222767-5 2.429924+0 2.224129-5 4.248715+0 2.226853-5 8.095967+0 2.229577-5 1.237914+1 2.233663-5 1.978209+1 2.236563-5 2.641346+1 2.238102-5 3.114717+1 2.239435-5 3.536958+1 2.240472-5 3.801763+1 2.256522-5 7.182215+1 2.262031-5 7.875654+1 2.266456-5 7.888964+1 2.270466-5 7.305865+1 2.273932-5 6.332682+1 2.275976-5 5.543651+1 2.277948-5 4.592638+1 2.280389-5 3.099802+1 2.281726-5 2.172609+1 2.282517-5 1.504766+1 2.285099-5-4.633054+0 2.286229-5-1.369404+1 2.287273-5-2.295312+1 2.288265-5-3.334693+1 2.291904-5-6.567743+1 2.293212-5-5.234671+1 2.293748-5-4.653213+1 2.298699-5-2.274782+0 2.298871-5-3.915759-1 2.299204-5 2.753669+0 2.299830-5 8.091802+0 2.300377-5 1.243757+1 2.301335-5 1.959393+1 2.304208-5 4.011425+1 2.304974-5 4.562585+1 2.306883-5 5.630902+1 2.310082-5 6.965368+1 2.313598-5 7.945308+1 2.317395-5 8.478992+1 2.320075-5 8.477002+1 2.325554-5 7.650755+1 2.331752-5 6.051767+1 2.338626-5 4.120631+1 2.346568-5 2.285434+1 2.347851-5 1.918098+1 2.348522-5 1.653204+1 2.349781-5 1.284697+1 2.350983-5 1.000588+1 2.352184-5 7.502136+0 2.353604-5 4.844653+0 2.355733-5 1.304322+0 2.357862-5-1.832648+0 2.360701-5-5.538481+0 2.363540-5-8.818597+0 2.366379-5-1.176049+1 2.372057-5-1.686114+1 2.380573-5-2.309929+1 2.393348-5-3.041362+1 2.414640-5-3.971660+1 2.443730-5-4.930980+1 2.504753-5-6.206756+1 2.542466-5-6.165119+1 2.562198-5-6.652559+1 2.567852-5-6.788832+1 2.596688-5-5.831529+1 2.607617-5-5.182824+1 2.611999-5-4.712383+1 2.630358-5-2.776595+1 2.632681-5-2.467579+1 2.639457-5-1.819478+1 2.640918-5-1.734125+1 2.645689-5-1.569990+1 2.647837-5-1.594998+1 2.650582-5-1.747945+1 2.653594-5-2.043651+1 2.656841-5-2.512678+1 2.659647-5-3.060298+1 2.662234-5-3.722753+1 2.669629-5-6.324278+1 2.671326-5-7.105470+1 2.676377-5-4.946597+1 2.677490-5-4.350378+1 2.683763-5-1.728129+1 2.684378-5-1.440714+1 2.685139-5-1.137786+1 2.686471-5-6.587600+0 2.691052-5 8.470587+0 2.692186-5 1.166078+1 2.694244-5 1.650207+1 2.696112-5 2.013259+1 2.699176-5 2.481777+1 2.702616-5 2.837735+1 2.705490-5 2.997705+1 2.708261-5 3.011304+1 2.714238-5 2.626416+1 2.715823-5 2.426382+1 2.720601-5 1.920115+1 2.727731-5 9.944073+0 2.728543-5 8.764469+0 2.729962-5 7.083530+0 2.737401-5-6.090084-1 2.738991-5-2.467923+0 2.739786-5-3.524594+0 2.740184-5-4.120925+0 2.741017-5-5.653030+0 2.741833-5-6.794124+0 2.743262-5-8.451325+0 2.745406-5-1.053420+1 2.747549-5-1.232313+1 2.750898-5-1.472679+1 2.757353-5-1.847561+1 2.766673-5-2.261254+1 2.781441-5-2.738338+1 2.806931-5-3.303515+1 2.841475-5-3.831878+1 2.888508-5-4.287840+1 2.918033-5-4.397228+1 2.955360-5-4.270624+1 3.048774-5-4.493952+1 3.418025-5-4.811425+1 4.624884-5-5.159989+1 1.009050-4-5.614623+1 1.108350-4-5.901935+1 1.183451-4-5.325344+1 1.223567-4-4.741037+1 1.249396-4-4.097277+1 1.265837-4-3.444606+1 1.276544-4-2.816457+1 1.284026-4-2.204748+1 1.287669-4-1.823945+1 1.291690-4-1.306819+1 1.293157-4-1.082802+1 1.294624-4-8.299261+0 1.296218-4-5.247604+0 1.297014-4-3.605036+0 1.297811-4-1.849958+0 1.298608-4 4.614674-2 1.299205-4 1.584411+0 1.300101-4 4.141063+0 1.300549-4 5.576029+0 1.300998-4 7.179763+0 1.301271-4 8.285778+0 1.301726-4 1.060414+1 1.302079-4 1.207641+1 1.302740-4 1.446109+1 1.307371-4 2.910817+1 1.311555-4 4.509651+1 1.315460-4 5.694119+1 1.317963-4 6.092885+1 1.319945-4 6.008149+1 1.321706-4 5.613498+1 1.323545-4 4.888446+1 1.325821-4 3.509246+1 1.326835-4 2.718111+1 1.327373-4 2.172416+1 1.328875-4 7.787229+0 1.329250-4 4.141710+0 1.329532-4 1.291840+0 1.329954-4-3.264234+0 1.330165-4-5.749541+0 1.330271-4-7.091515+0 1.330477-4-1.008842+1 1.330670-4-1.253700+1 1.331034-4-1.676690+1 1.333043-4-3.918601+1 1.334248-4-5.511601+1 1.334522-4-5.821832+1 1.336727-4-3.381375+1 1.337123-4-2.872920+1 1.337931-4-2.053003+1 1.339987-4-2.216176+0 1.340075-4-1.288606+0 1.340248-4 2.590361-1 1.340583-4 2.899766+0 1.340897-4 5.116834+0 1.341192-4 7.024756+0 1.341744-4 1.023529+1 1.342650-4 1.462905+1 1.343667-4 1.843802+1 1.344881-4 2.154822+1 1.346149-4 2.312105+1 1.347160-4 2.299321+1 1.347766-4 2.196040+1 1.349369-4 1.809502+1 1.349998-4 1.578553+1 1.351400-4 1.129063+1 1.352101-4 8.645280+0 1.352626-4 6.220565+0 1.352802-4 5.162481+0 1.354821-4-5.142859+0 1.355709-4-1.011970+1 1.356131-4-1.297073+1 1.359209-4-3.075479+1 1.359814-4-3.424171+1 1.362050-4-4.504833+1 1.365480-4-5.832283+1 1.366624-4-5.418522+1 1.368472-4-5.175649+1 1.370608-4-5.261616+1 1.372699-4-5.703955+1 1.373097-4-5.836568+1 1.376960-4-3.937504+1 1.378046-4-3.219032+1 1.378460-4-2.875181+1 1.380783-4-1.302531+1 1.381271-4-9.263631+0 1.381537-4-6.715645+0 1.381739-4-5.041173+0 1.384760-4 1.614313+1 1.384984-4 1.799381+1 1.385403-4 2.086963+1 1.386137-4 2.528887+1 1.389202-4 4.141351+1 1.391614-4 4.930795+1 1.394283-4 5.404028+1 1.396758-4 5.504395+1 1.400651-4 4.972786+1 1.404161-4 4.115418+1 1.408163-4 3.053559+1 1.413533-4 1.844180+1 1.414408-4 1.558348+1 1.414978-4 1.406234+1 1.416047-4 1.170803+1 1.416982-4 9.934140+0 1.418619-4 7.230770+0 1.419847-4 5.445108+0 1.421688-4 3.053809+0 1.423530-4 9.291240-1 1.424400-4 4.446527-2 1.426156-4-1.735989+0 1.428782-4-4.070004+0 1.430435-4-5.405223+0 1.433946-4-7.920628+0 1.437934-4-1.034534+1 1.442329-4-1.259156+1 1.450076-4-1.574419+1 1.465271-4-2.025895+1 1.482438-4-2.395030+1 1.503752-4-2.702555+1 1.536000-4-2.980375+1 1.582500-4-3.177772+1 1.753456-4-3.428185+1 2.137225-4-3.680122+1 2.628911-4-3.872307+1 3.145148-4-3.652398+1 3.632625-4-3.541378+1 4.788023-4-3.222831+1 6.390992-4-3.034006+1 7.943282-4-3.043522+1 9.225714-4-3.220618+1 1.006713-3-3.492502+1 1.056209-3-3.789415+1 1.090969-3-4.159764+1 1.112477-3-4.601056+1 1.135435-3-5.543176+1 1.144988-3-5.508446+1 1.174333-3-4.824385+1 1.197458-3-4.152540+1 1.229408-3-3.655224+1 1.277777-3-3.156476+1 1.339811-3-2.701753+1 1.399201-3-2.452756+1 1.438437-3-2.409863+1 1.469748-3-2.494158+1 1.510450-3-2.143962+1 1.553361-3-1.962339+1 1.611110-3-1.860702+1 1.648310-3-1.673785+1 1.715576-3-1.485482+1 1.780558-3-1.407672+1 1.843565-3-1.212768+1 1.930594-3-1.048364+1 2.052048-3-8.863566+0 2.216806-3-7.354655+0 2.405872-3-6.188555+0 2.599692-3-5.394607+0 2.860751-3-4.759355+0 3.198895-3-4.349565+0 3.558546-3-4.226245+0 4.065018-3-4.353734+0 4.636161-3-4.756132+0 5.286111-3-5.479359+0 5.848557-3-6.414661+0 6.266412-3-7.487667+0 6.531306-3-8.567776+0 6.696774-3-9.651292+0 6.798664-3-1.077679+1 6.869004-3-1.220622+1 6.936789-3-1.392011+1 6.973841-3-1.420503+1 7.022298-3-1.346828+1 7.102156-3-1.152574+1 7.182687-3-1.042645+1 7.299154-3-9.709040+0 7.429169-3-9.530693+0 7.515581-3-9.916769+0 7.594772-3-1.051844+1 7.648944-3-1.039171+1 7.798819-3-8.591793+0 7.888863-3-8.156854+0 8.009089-3-8.005505+0 8.091653-3-7.318770+0 8.199035-3-6.279600+0 8.346837-3-5.378326+0 8.548096-3-4.524454+0 8.811586-3-3.698671+0 9.144468-3-2.926594+0 9.478820-3-2.350553+0 9.897431-3-1.804677+0 1.035142-2-1.363727+0 1.074765-2-1.075408+0 1.101334-2-9.172341-1 1.132066-2-7.632963-1 1.161481-2-6.403956-1 1.193273-2-5.303873-1 1.240045-2-4.032693-1 1.285971-2-3.088114-1 1.322855-2-2.483330-1 1.369871-2-1.896115-1 1.404311-2-1.573774-1 1.437022-2-1.352324-1 1.464124-2-1.205885-1 1.501523-2-1.070588-1 1.562248-2-9.886984-2 1.606313-2-9.934103-2 1.666768-2-1.041944-1 1.723558-2-1.174999-1 1.815539-2-1.509316-1 1.947041-2-2.118810-1 2.233283-2-3.712172-1 3.491984-2-1.129263+0 3.918370-2-1.439349+0 4.227558-2-1.746481+0 4.436365-2-2.052949+0 4.581802-2-2.382850+0 4.673411-2-2.712519+0 4.735409-2-3.080931+0 4.779736-2-3.553030+0 4.836187-2-4.348906+0 4.859645-2-4.429123+0 4.884736-2-4.222095+0 4.954366-2-3.157742+0 4.999700-2-2.725311+0 5.062616-2-2.347227+0 5.148391-2-2.002071+0 5.277205-2-1.647994+0 5.419600-2-1.369916+0 5.578368-2-1.143061+0 5.757498-2-9.532489-1 5.995182-2-7.704292-1 6.179901-2-6.594544-1 6.459760-2-5.308358-1 6.628362-2-4.685109-1 6.929602-2-3.831828-1 7.123531-2-3.397799-1 7.332280-2-3.012975-1 7.697314-2-2.515014-1 7.924567-2-2.283424-1 8.337444-2-1.986562-1 8.732225-2-1.802395-1 9.151127-2-1.675596-1 9.625944-2-1.608033-1 1.038475-1-1.616017-1 1.170383-1-1.769840-1 1.753817-1-2.865984-1 2.186776-1-3.465103-1 2.820942-1-4.037864-1 3.762756-1-4.512331-1 5.500354-1-4.906528-1 9.197544-1-5.161481-1 2.814822+0-5.287368-1 8.500626+0-5.308044-1 1.000000+1-5.305052-1 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.022394-1 1.053569-6 1.308492-1 1.092367-6 1.557289-1 1.128740-6 1.827869-1 1.194809-6 2.427639-1 1.252877-6 3.098002-1 1.303913-6 3.827816-1 1.327065-6 4.214146-1 1.370474-6 5.038824-1 1.408457-6 5.885395-1 1.441692-6 6.742084-1 1.470773-6 7.593949-1 1.496218-6 8.431687-1 1.518483-6 9.253278-1 1.557447-6 1.089774+0 1.586670-6 1.233552+0 1.608587-6 1.356895+0 1.641463-6 1.569354+0 1.657900-6 1.690065+0 1.682581-6 1.895642+0 1.707308-6 2.137486+0 1.727914-6 2.374313+0 1.744398-6 2.593981+0 1.756762-6 2.781300+0 1.770841-6 3.024049+0 1.783161-6 3.269234+0 1.793940-6 3.517155+0 1.803372-6 3.768304+0 1.811625-6 4.023370+0 1.818847-6 4.283383+0 1.825166-6 4.549744+0 1.830695-6 4.823958+0 1.835532-6 5.106980+0 1.843469-6 5.696374+0 1.849951-6 6.342143+0 1.854813-6 6.956406+0 1.858459-6 7.503120+0 1.863244-6 8.341015+0 1.873998-6 1.067363+1 1.878600-6 1.177684+1 1.883201-6 1.284745+1 1.884351-6 1.309936+1 1.887802-6 1.379203+1 1.888953-6 1.399643+1 1.892404-6 1.450761+1 1.893554-6 1.463890+1 1.895279-6 1.479433+1 1.897005-6 1.489626+1 1.898155-6 1.493272+1 1.899881-6 1.493799+1 1.901606-6 1.488205+1 1.903907-6 1.471013+1 1.906207-6 1.442680+1 1.908508-6 1.403490+1 1.910521-6 1.360759+1 1.912175-6 1.320198+1 1.913792-6 1.276174+1 1.915698-6 1.219429+1 1.920155-6 1.070642+1 1.922213-6 9.969210+0 1.924756-6 9.039156+0 1.926917-6 8.248563+0 1.927922-6 7.884952+0 1.930142-6 7.098443+0 1.932463-6 6.312439+0 1.934988-6 5.513325+0 1.938109-6 4.625162+0 1.943505-6 3.390819+0 1.946269-6 2.915335+0 1.948041-6 2.665857+0 1.949478-6 2.494417+0 1.950849-6 2.355579+0 1.952220-6 2.240009+0 1.953047-6 2.181125+0 1.953991-6 2.123460+0 1.955406-6 2.055205+0 1.956822-6 2.007613+0 1.957972-6 1.983177+0 1.959697-6 1.968667+0 1.960560-6 1.970671+0 1.961646-6 1.981316+0 1.962973-6 2.005762+0 1.963842-6 2.028070+0 1.965553-6 2.085244+0 1.967210-6 2.155656+0 2.018575-6 6.952444+0 2.023544-6 7.587888+0 2.026028-6 7.905453+0 2.028512-6 8.216823+0 2.033481-6 8.797891+0 2.034723-6 8.929757+0 2.038449-6 9.279343+0 2.039691-6 9.377616+0 2.043418-6 9.605954+0 2.044660-6 9.657370+0 2.046523-6 9.709049+0 2.048386-6 9.728584+0 2.049628-6 9.723037+0 2.051491-6 9.686134+0 2.053355-6 9.614505+0 2.055839-6 9.465151+0 2.058323-6 9.256002+0 2.060807-6 8.990746+0 2.063292-6 8.674895+0 2.063913-6 8.588834+0 2.067717-6 8.010180+0 2.068881-6 7.818569+0 2.073539-6 7.012768+0 2.075140-6 6.729731+0 2.078818-6 6.089753+0 2.085688-6 5.021697+0 2.088134-6 4.706462+0 2.090308-6 4.461867+0 2.092404-6 4.260002+0 2.093102-6 4.200369+0 2.095587-6 4.019855+0 2.097450-6 3.916787+0 2.098692-6 3.863286+0 2.101952-6 3.778895+0 2.103039-6 3.768061+0 2.108008-6 3.818233+0 2.109250-6 3.853872+0 2.112976-6 4.007456+0 2.115460-6 4.143115+0 2.118692-6 4.351159+0 2.131407-6 5.368647+0 2.136547-6 5.815388+0 2.213634-6 1.253932+1 2.224531-6 1.364420+1 2.229980-6 1.419467+1 2.235429-6 1.472574+1 2.240877-6 1.522358+1 2.246326-6 1.567781+1 2.251774-6 1.608454+1 2.257223-6 1.644852+1 2.273569-6 1.746089+1 2.279017-6 1.785847+1 2.284466-6 1.833060+1 2.289914-6 1.889703+1 2.295363-6 1.956969+1 2.300811-6 2.035233+1 2.306260-6 2.124180+1 2.317157-6 2.330670+1 2.359817-6 3.414271+1 2.370434-6 3.760512+1 2.380388-6 4.125692+1 2.389720-6 4.511358+1 2.398468-6 4.918597+1 2.406670-6 5.348311+1 2.414359-6 5.801339+1 2.421568-6 6.278494+1 2.428325-6 6.780571+1 2.434661-6 7.308358+1 2.440601-6 7.862658+1 2.446169-6 8.444361+1 2.451389-6 9.054524+1 2.456283-6 9.694469+1 2.465460-6 1.112055+2 2.473489-6 1.269990+2 2.480515-6 1.445165+2 2.486662-6 1.638723+2 2.492041-6 1.850256+2 2.496748-6 2.077504+2 2.500866-6 2.316612+2 2.504470-6 2.562735+2 2.507623-6 2.810739+2 2.510382-6 3.055780+2 2.514908-6 3.521187+2 2.521377-6 4.340505+2 2.531543-6 6.037742+2 2.535921-6 6.924856+2 2.539035-6 7.607535+2 2.542148-6 8.327420+2 2.548374-6 9.847799+2 2.549153-6 1.004242+3 2.554601-6 1.140511+3 2.556741-6 1.193019+3 2.560827-6 1.289187+3 2.562968-6 1.336449+3 2.565011-6 1.378938+3 2.567054-6 1.418410+3 2.569778-6 1.465597+3 2.572405-6 1.504382+3 2.574837-6 1.533723+3 2.576880-6 1.553080+3 2.579507-6 1.570418+3 2.583009-6 1.579657+3 2.585928-6 1.574866+3 2.587012-6 1.570172+3 2.590104-6 1.548192+3 2.592968-6 1.516796+3 2.595377-6 1.482563+3 2.598355-6 1.431088+3 2.600504-6 1.388213+3 2.604608-6 1.294859+3 2.606851-6 1.238492+3 2.608509-6 1.194916+3 2.611418-6 1.115318+3 2.614185-6 1.037060+3 2.616866-6 9.599879+2 2.619590-6 8.815548+2 2.622436-6 8.005818+2 2.626206-6 6.965970+2 2.628930-6 6.248809+2 2.629708-6 6.050302+2 2.633357-6 5.163034+2 2.635546-6 4.668039+2 2.642161-6 3.360737+2 2.644168-6 3.022732+2 2.647999-6 2.453831+2 2.654980-6 1.667343+2 2.657399-6 1.466293+2 2.659479-6 1.321073+2 2.660996-6 1.230701+2 2.662478-6 1.154802+2 2.664043-6 1.087514+2 2.664987-6 1.053147+2 2.665921-6 1.023732+2 2.666840-6 9.991371+1 2.667745-6 9.790979+1 2.668635-6 9.633694+1 2.670389-6 9.438494+1 2.672087-6 9.392401+1 2.675378-6 9.699430+1 2.687720-6 1.569134+2 2.692348-6 2.018928+2 2.703041-6 3.690932+2 2.708128-6 4.885613+2 2.712022-6 6.019156+2 2.715004-6 7.032678+2 2.719265-6 8.724590+2 2.722433-6 1.018392+3 2.725949-6 1.202041+3 2.729387-6 1.404707+3 2.731451-6 1.537569+3 2.734804-6 1.771710+3 2.738157-6 2.028130+3 2.745283-6 2.642105+3 2.746855-6 2.788788+3 2.750391-6 3.130905+3 2.752775-6 3.369212+3 2.754151-6 3.508806+3 2.758277-6 3.932986+3 2.761683-6 4.283718+3 2.764984-6 4.617914+3 2.768389-6 4.950342+3 2.771690-6 5.254195+3 2.774624-6 5.504107+3 2.777866-6 5.752982+3 2.778816-6 5.819740+3 2.782746-6 6.062780+3 2.785814-6 6.211974+3 2.789389-6 6.336843+3 2.792295-6 6.397538+3 2.798726-6 6.398338+3 2.800560-6 6.365156+3 2.805510-6 6.205239+3 2.808023-6 6.087281+3 2.810819-6 5.929683+3 2.812617-6 5.814973+3 2.815780-6 5.590492+3 2.819067-6 5.331145+3 2.821813-6 5.098165+3 2.825343-6 4.782393+3 2.828696-6 4.471361+3 2.832050-6 4.155319+3 2.835822-6 3.800280+3 2.838756-6 3.528589+3 2.846101-6 2.883473+3 2.847298-6 2.784684+3 2.855673-6 2.154725+3 2.861345-6 1.794520+3 2.876303-6 1.096761+3 2.879741-6 9.820734+2 2.883180-6 8.816382+2 2.886618-6 7.940064+2 2.890056-6 7.177543+2 2.893494-6 6.515189+2 2.896933-6 5.940243+2 2.900371-6 5.440988+2 2.903809-6 5.006845+2 2.910686-6 4.297435+2 2.917562-6 3.750315+2 2.924439-6 3.320009+2 2.931315-6 2.974145+2 2.937775-6 2.705953+2 2.944033-6 2.485860+2 2.950095-6 2.301841+2 2.955968-6 2.145618+2 2.967346-6 1.891087+2 2.978013-6 1.696570+2 2.988014-6 1.543461+2 2.997389-6 1.420179+2 3.006179-6 1.319090+2 3.014419-6 1.234937+2 3.029869-6 1.099658+2 3.043388-6 1.000558+2 3.055217-6 9.255636+1 3.065568-6 8.673816+1 3.083681-6 7.792635+1 3.097266-6 7.225552+1 3.117644-6 6.494186+1 3.138022-6 5.877154+1 3.161193-6 5.285220+1 3.184365-6 4.786313+1 3.207536-6 4.360878+1 3.238432-6 3.882620+1 3.269327-6 3.483550+1 3.292498-6 3.225159+1 3.385326-6 2.408577+1 3.429452-6 2.092979+1 3.437851-6 2.043437+1 3.446251-6 2.000202+1 3.454651-6 1.964394+1 3.462499-6 1.938213+1 3.470347-6 1.919013+1 3.479850-6 1.904068+1 3.496650-6 1.892042+1 3.514751-6 1.880168+1 3.521657-6 1.871263+1 3.528563-6 1.858674+1 3.538649-6 1.833130+1 3.547049-6 1.805665+1 3.555449-6 1.773498+1 3.572248-6 1.700090+1 3.623456-6 1.476694+1 3.694051-6 1.230039+1 3.729297-6 1.122779+1 3.738960-6 1.097890+1 3.747942-6 1.077419+1 3.759756-6 1.054807+1 3.774888-6 1.032742+1 3.813509-6 9.928046+0 3.822648-6 9.814935+0 3.834045-6 9.641938+0 3.847751-6 9.379329+0 3.856863-6 9.171600+0 3.865975-6 8.940132+0 3.884199-6 8.425270+0 3.910584-6 7.662522+0 3.920162-6 7.420302+0 3.929740-6 7.215155+0 3.939319-6 7.056272+0 3.945921-6 6.976578+0 3.952524-6 6.921637+0 3.960289-6 6.887064+0 3.968053-6 6.880810+0 3.977632-6 6.902175+0 3.996788-6 6.979401+0 4.006367-6 7.001973+0 4.013550-6 7.000556+0 4.024326-6 6.960363+0 4.035101-6 6.869968+0 4.045271-6 6.739491+0 4.055035-6 6.577188+0 4.074565-6 6.165487+0 4.082993-6 5.959840+0 4.098453-6 5.549009+0 4.113623-6 5.110399+0 4.123388-6 4.811695+0 4.133153-6 4.501147+0 4.142917-6 4.179532+0 4.152682-6 3.847915+0 4.162446-6 3.508131+0 4.176374-6 3.016525+0 4.183337-6 2.772785+0 4.190311-6 2.535077+0 4.206080-6 2.052715+0 4.210939-6 1.930837+0 4.215266-6 1.838118+0 4.221852-6 1.733044+0 4.227010-6 1.688341+0 4.229589-6 1.680702+0 4.232168-6 1.684085+0 4.234486-6 1.697328+0 4.236910-6 1.722307+0 4.240545-6 1.782971+0 4.243272-6 1.848315+0 4.245568-6 1.917612+0 4.252852-6 2.233161+0 4.256009-6 2.419818+0 4.261475-6 2.822773+0 4.265788-6 3.218154+0 4.272583-6 3.992854+0 4.283727-6 5.706129+0 4.290172-6 6.967087+0 4.295477-6 8.158995+0 4.302411-6 9.925252+0 4.306961-6 1.120825+1 4.312060-6 1.275546+1 4.316731-6 1.426554+1 4.321498-6 1.588619+1 4.326512-6 1.766181+1 4.330658-6 1.917135+1 4.335163-6 2.083803+1 4.340367-6 2.277432+1 4.341941-6 2.335828+1 4.348088-6 2.560704+1 4.353370-6 2.747021+1 4.357267-6 2.878280+1 4.362655-6 3.048338+1 4.364450-6 3.101578+1 4.375321-6 3.379148+1 4.376615-6 3.406464+1 4.385674-6 3.559253+1 4.389677-6 3.604306+1 4.393499-6 3.634066+1 4.398850-6 3.653975+1 4.404231-6 3.648877+1 4.408624-6 3.626798+1 4.414391-6 3.574984+1 4.419952-6 3.502717+1 4.421806-6 3.474235+1 4.427779-6 3.369321+1 4.434013-6 3.241700+1 4.436091-6 3.195820+1 4.443970-6 3.010666+1 4.446596-6 2.946055+1 4.457101-6 2.681263+1 4.461070-6 2.581038+1 4.476827-6 2.200537+1 4.497425-6 1.780568+1 4.506006-6 1.636971+1 4.516490-6 1.485890+1 4.525476-6 1.375911+1 4.535886-6 1.268194+1 4.544239-6 1.194920+1 4.556768-6 1.103263+1 4.569297-6 1.029468+1 4.582916-6 9.653164+0 4.596534-6 9.144879+0 4.605212-6 8.877696+0 4.618229-6 8.543758+0 4.631247-6 8.272058+0 4.647950-6 7.982294+0 4.677805-6 7.511789+0 4.685698-6 7.379251+0 4.700707-6 7.105981+0 4.710853-6 6.903996+0 4.729439-6 6.500914+0 4.743582-6 6.172038+0 4.762153-6 5.723093+0 4.774316-6 5.425062+0 4.806178-6 4.680165+0 4.814670-6 4.510025+0 4.823136-6 4.364815+0 4.829436-6 4.277898+0 4.842628-6 4.174495+0 4.847126-6 4.169141+0 4.859164-6 4.246102+0 4.862220-6 4.288937+0 4.871386-6 4.478820+0 4.874662-6 4.569643+0 4.879577-6 4.728697+0 4.884492-6 4.914726+0 4.890820-6 5.192214+0 4.899862-6 5.655784+0 4.918363-6 6.777591+0 4.928840-6 7.450947+0 4.931568-6 7.623414+0 4.943141-6 8.314465+0 4.945993-6 8.470341+0 4.954550-6 8.891151+0 4.959439-6 9.095094+0 4.968772-6 9.400104+0 4.972172-6 9.481933+0 4.978122-6 9.586256+0 4.983815-6 9.639697+0 4.990357-6 9.646412+0 4.996125-6 9.606157+0 5.002436-6 9.516304+0 5.010006-6 9.352272+0 5.012991-6 9.272728+0 5.025240-6 8.875555+0 5.036191-6 8.451505+0 5.060024-6 7.449421+0 5.079188-6 6.692386+0 5.086826-6 6.423502+0 5.107082-6 5.834062+0 5.111577-6 5.730705+0 5.125152-6 5.484920+0 5.138208-6 5.345999+0 5.145477-6 5.310214+0 5.152211-6 5.302697+0 5.159053-6 5.318902+0 5.164963-6 5.350702+0 5.176322-6 5.451447+0 5.190148-6 5.624622+0 5.213297-6 5.948915+0 5.225973-6 6.095910+0 5.230528-6 6.137834+0 5.241860-6 6.211551+0 5.247368-6 6.230570+0 5.255630-6 6.238397+0 5.263892-6 6.222877+0 5.274915-6 6.171282+0 5.286775-6 6.087303+0 5.319023-6 5.822740+0 5.336427-6 5.716681+0 5.349139-6 5.666631+0 5.361958-6 5.637148+0 5.388743-6 5.616561+0 5.425250-6 5.597447+0 5.456506-6 5.555138+0 5.558061-6 5.385346+0 5.616511-6 5.271987+0 5.685381-6 5.119973+0 5.731284-6 5.041726+0 6.091292-6 4.588576+0 6.717599-6 3.914964+0 7.140847-6 3.570403+0 7.702730-6 3.133745+0 8.687881-6 2.481509+0 8.934166-6 2.319355+0 9.149666-6 2.173037+0 9.338228-6 2.037582+0 9.503220-6 1.912612+0 9.660509-6 1.788301+0 9.773910-6 1.695920+0 9.885531-6 1.602707+0 1.002064-5 1.487616+0 1.015203-5 1.375323+0 1.032529-5 1.238141+0 1.036690-5 1.210300+0 1.040331-5 1.188865+0 1.043516-5 1.172928+0 1.048743-5 1.153783+0 1.052745-5 1.146089+0 1.057059-5 1.146025+0 1.059950-5 1.152147+0 1.062662-5 1.164155+0 1.065219-5 1.183280+0 1.067456-5 1.208718+0 1.069095-5 1.234332+0 1.070079-5 1.253256+0 1.071063-5 1.275352+0 1.072375-5 1.310611+0 1.073686-5 1.353802+0 1.074998-5 1.406663+0 1.076310-5 1.471345+0 1.077621-5 1.550514+0 1.078933-5 1.647469+0 1.080245-5 1.766271+0 1.081557-5 1.911894+0 1.082868-5 2.090379+0 1.084180-5 2.308993+0 1.085492-5 2.576376+0 1.086803-5 2.902676+0 1.088115-5 3.299646+0 1.089427-5 3.780696+0 1.090738-5 4.360876+0 1.092050-5 5.056777+0 1.093690-5 6.116813+0 1.098584-5 1.089418+1 1.100726-5 1.392387+1 1.102114-5 1.623959+1 1.102947-5 1.776710+1 1.104301-5 2.047329+1 1.105655-5 2.345314+1 1.108533-5 3.063088+1 1.109167-5 3.235074+1 1.111071-5 3.773918+1 1.112113-5 4.079565+1 1.113780-5 4.575680+1 1.115145-5 4.981207+1 1.116162-5 5.277339+1 1.117090-5 5.540147+1 1.118284-5 5.863002+1 1.119132-5 6.079348+1 1.120345-5 6.365048+1 1.121465-5 6.600126+1 1.122073-5 6.714479+1 1.123660-5 6.964444+1 1.124899-5 7.106336+1 1.126203-5 7.201275+1 1.127460-5 7.237822+1 1.130154-5 7.132147+1 1.131346-5 7.007674+1 1.132905-5 6.778518+1 1.133986-5 6.579529+1 1.134898-5 6.389116+1 1.135783-5 6.186544+1 1.136820-5 5.930340+1 1.138152-5 5.576799+1 1.139337-5 5.246095+1 1.140480-5 4.918472+1 1.142215-5 4.416820+1 1.143569-5 4.032110+1 1.145684-5 3.463565+1 1.149155-5 2.678374+1 1.150243-5 2.482051+1 1.151113-5 2.344774+1 1.152000-5 2.223755+1 1.152588-5 2.154318+1 1.153381-5 2.074572+1 1.154210-5 2.008599+1 1.154900-5 1.967245+1 1.155533-5 1.940243+1 1.155797-5 1.932065+1 1.157685-5 1.925377+1 1.158451-5 1.948022+1 1.159196-5 1.983540+1 1.160083-5 2.042547+1 1.160980-5 2.119605+1 1.161835-5 2.208516+1 1.163597-5 2.433917+1 1.166469-5 2.897102+1 1.168484-5 3.266485+1 1.170159-5 3.583267+1 1.171666-5 3.864484+1 1.173426-5 4.175897+1 1.174743-5 4.388971+1 1.175227-5 4.461996+1 1.176610-5 4.651540+1 1.177528-5 4.760284+1 1.180372-5 4.998246+1 1.181605-5 5.051489+1 1.183578-5 5.071990+1 1.185057-5 5.036400+1 1.186491-5 4.962743+1 1.187765-5 4.867612+1 1.188585-5 4.793106+1 1.189404-5 4.709163+1 1.191038-5 4.517300+1 1.191582-5 4.447139+1 1.192997-5 4.253423+1 1.194411-5 4.047122+1 1.195118-5 3.940802+1 1.197239-5 3.616139+1 1.200068-5 3.189014+1 1.206884-5 2.314371+1 1.208704-5 2.132120+1 1.209797-5 2.033525+1 1.211253-5 1.914052+1 1.212710-5 1.807428+1 1.215623-5 1.628165+1 1.218536-5 1.485867+1 1.221450-5 1.370843+1 1.224363-5 1.274931+1 1.227276-5 1.192083+1 1.230269-5 1.116437+1 1.236016-5 9.904406+0 1.241842-5 8.843952+0 1.246483-5 8.145972+0 1.250000-5 7.696603+0 1.253765-5 7.282150+0 1.257241-5 6.951379+0 1.262454-5 6.529485+0 1.270788-5 5.987899+0 1.280149-5 5.507087+0 1.290018-5 5.095918+0 1.299543-5 4.764872+0 1.312524-5 4.387714+0 1.326659-5 4.045029+0 1.343997-5 3.690877+0 1.364308-5 3.343474+0 1.401450-5 2.819011+0 1.427916-5 2.486884+0 1.436163-5 2.404087+0 1.438122-5 2.388962+0 1.445440-5 2.356682+0 1.448742-5 2.357175+0 1.452281-5 2.368818+0 1.457333-5 2.402885+0 1.466440-5 2.485835+0 1.469980-5 2.510351+0 1.473520-5 2.522644+0 1.477945-5 2.515520+0 1.481042-5 2.494315+0 1.484651-5 2.453687+0 1.488924-5 2.387633+0 1.494759-5 2.279804+0 1.502573-5 2.138750+0 1.506986-5 2.075221+0 1.510668-5 2.035147+0 1.513561-5 2.012499+0 1.515874-5 1.999920+0 1.520446-5 1.988492+0 1.523942-5 1.990334+0 1.526040-5 1.995128+0 1.530543-5 2.012802+0 1.545521-5 2.100806+0 1.551360-5 2.124659+0 1.553584-5 2.129140+0 1.558830-5 2.126777+0 1.563210-5 2.109713+0 1.567686-5 2.078809+0 1.573568-5 2.022610+0 1.585647-5 1.894338+0 1.587606-5 1.876619+0 1.593571-5 1.833381+0 1.598707-5 1.810537+0 1.601809-5 1.803092+0 1.607654-5 1.800445+0 1.613125-5 1.808667+0 1.620248-5 1.829865+0 1.631290-5 1.876783+0 1.647817-5 1.966584+0 1.677820-5 2.151048+0 1.686141-5 2.211390+0 1.693643-5 2.277191+0 1.701586-5 2.363174+0 1.706269-5 2.422645+0 1.714631-5 2.544447+0 1.735063-5 2.904976+0 1.752317-5 3.256390+0 1.778132-5 3.870608+0 1.821158-5 5.159924+0 1.844876-5 6.047286+0 1.867415-5 7.051018+0 1.894461-5 8.479604+0 1.916999-5 9.888826+0 1.953354-5 1.268387+1 1.983243-5 1.558087+1 2.018366-5 1.990314+1 2.037617-5 2.278259+1 2.053600-5 2.551308+1 2.074098-5 2.954227+1 2.096558-5 3.476771+1 2.107264-5 3.762082+1 2.128008-5 4.394508+1 2.147455-5 5.099414+1 2.165687-5 5.881370+1 2.182779-5 6.745490+1 2.198803-5 7.697279+1 2.213826-5 8.742259+1 2.227909-5 9.885431+1 2.241113-5 1.113129+2 2.253491-5 1.248415+2 2.265095-5 1.394836+2 2.275974-5 1.552828+2 2.286174-5 1.722806+2 2.295736-5 1.905157+2 2.304700-5 2.100215+2 2.313104-5 2.308237+2 2.320982-5 2.529387+2 2.328369-5 2.763754+2 2.337491-5 3.096385+2 2.344229-5 3.378710+2 2.353577-5 3.833976+2 2.358926-5 4.134567+2 2.363941-5 4.448132+2 2.368642-5 4.774461+2 2.377458-5 5.489104+2 2.385171-5 6.254842+2 2.391920-5 7.068397+2 2.397825-5 7.924997+2 2.402992-5 8.817776+2 2.407514-5 9.737656+2 2.411470-5 1.067376+3 2.414932-5 1.161417+3 2.417961-5 1.254680+3 2.423261-5 1.447756+3 2.427237-5 1.623010+3 2.430218-5 1.775255+3 2.432454-5 1.902958+3 2.435809-5 2.119333+3 2.439163-5 2.369824+3 2.445167-5 2.920749+3 2.449670-5 3.438303+3 2.457174-5 4.548837+3 2.469182-5 7.144160+3 2.474704-5 8.738227+3 2.476086-5 9.179473+3 2.485763-5 1.272997+4 2.491851-5 1.532707+4 2.492612-5 1.566679+4 2.497939-5 1.810540+4 2.501628-5 1.982160+4 2.505954-5 2.180590+4 2.508592-5 2.297392+4 2.511555-5 2.422300+4 2.514825-5 2.549755+4 2.517211-5 2.634141+4 2.519838-5 2.717072+4 2.522977-5 2.800579+4 2.527108-5 2.881186+4 2.530022-5 2.916208+4 2.533202-5 2.932604+4 2.536389-5 2.925692+4 2.539374-5 2.898092+4 2.542459-5 2.848736+4 2.544099-5 2.814237+4 2.547605-5 2.722565+4 2.550463-5 2.631364+4 2.553233-5 2.530660+4 2.556282-5 2.408015+4 2.559237-5 2.279682+4 2.561720-5 2.166432+4 2.564912-5 2.015979+4 2.567956-5 1.869902+4 2.571001-5 1.723700+4 2.574425-5 1.561741+4 2.577089-5 1.439254+4 2.583177-5 1.176465+4 2.587268-5 1.016750+4 2.589266-5 9.442968+3 2.593832-5 7.929934+3 2.599163-5 6.416425+3 2.606496-5 4.756289+3 2.612574-5 3.707166+3 2.616130-5 3.210365+3 2.619242-5 2.836816+3 2.621965-5 2.551408+3 2.624347-5 2.329970+3 2.628517-5 1.997866+3 2.631644-5 1.788573+3 2.636334-5 1.527126+3 2.641025-5 1.316512+3 2.644275-5 1.194346+3 2.647525-5 1.088053+3 2.654026-5 9.131811+2 2.660725-5 7.723120+2 2.667073-5 6.651229+2 2.673622-5 5.740985+2 2.680170-5 4.979857+2 2.706364-5 2.870585+2 2.716751-5 2.296796+2 2.726010-5 1.866457+2 2.745656-5 1.146100+2 2.752969-5 9.339524+1 2.766521-5 6.140356+1 2.773297-5 4.890088+1 2.783462-5 3.439931+1 2.788544-5 2.898901+1 2.791085-5 2.672328+1 2.793626-5 2.474143+1 2.795320-5 2.357451+1 2.797861-5 2.205079+1 2.800402-5 2.079388+1 2.803790-5 1.952515+1 2.805484-5 1.906339+1 2.807178-5 1.871642+1 2.808656-5 1.850778+1 2.810068-5 1.839123+1 2.811901-5 1.836204+1 2.813748-5 1.847542+1 2.815072-5 1.864756+1 2.815911-5 1.879695+1 2.817380-5 1.913600+1 2.820683-5 2.028051+1 2.822312-5 2.105411+1 2.823087-5 2.147436+1 2.824464-5 2.230840+1 2.826635-5 2.386698+1 2.829039-5 2.597490+1 2.830265-5 2.722062+1 2.832349-5 2.963422+1 2.834690-5 3.283716+1 2.836646-5 3.596516+1 2.839159-5 4.068202+1 2.843497-5 5.103190+1 2.846750-5 6.106711+1 2.848908-5 6.904214+1 2.852667-5 8.597173+1 2.856426-5 1.076259+2 2.860760-5 1.400395+2 2.873760-5 3.099084+2 2.879105-5 4.265277+2 2.883409-5 5.482150+2 2.886585-5 6.568749+2 2.889456-5 7.707138+2 2.893363-5 9.521453+2 2.897398-5 1.175144+3 2.911670-5 2.300861+3 2.913844-5 2.521735+3 2.917532-5 2.926331+3 2.920160-5 3.236502+3 2.926624-5 4.068213+3 2.929101-5 4.408539+3 2.931498-5 4.746539+3 2.934466-5 5.173389+3 2.937941-5 5.679220+3 2.940864-5 6.104009+3 2.943992-5 6.551530+3 2.947364-5 7.018391+3 2.950925-5 7.484440+3 2.954208-5 7.881190+3 2.958703-5 8.359329+3 2.962068-5 8.658868+3 2.964194-5 8.819209+3 2.967522-5 9.021903+3 2.970668-5 9.156453+3 2.972713-5 9.213217+3 2.976130-5 9.253320+3 2.978915-5 9.235550+3 2.982191-5 9.157963+3 2.985323-5 9.028930+3 2.988027-5 8.877014+3 2.991063-5 8.665208+3 2.994686-5 8.361465+3 2.996860-5 8.155856+3 3.000505-5 7.778017+3 3.004020-5 7.382182+3 3.008366-5 6.862967+3 3.012421-5 6.361543+3 3.017048-5 5.784865+3 3.018590-5 5.594121+3 3.025739-5 4.738130+3 3.031151-5 4.137504+3 3.036909-5 3.557910+3 3.054412-5 2.218494+3 3.059603-5 1.937776+3 3.064282-5 1.723782+3 3.067703-5 1.588249+3 3.070347-5 1.494357+3 3.074869-5 1.353430+3 3.080000-5 1.219528+3 3.086096-5 1.089918+3 3.090664-5 1.009759+3 3.100363-5 8.756554+2 3.108759-5 7.881743+2 3.118522-5 7.087097+2 3.130049-5 6.354984+2 3.143912-5 5.667914+2 3.156901-5 5.152150+2 3.170193-5 4.712969+2 3.187604-5 4.232832+2 3.210966-5 3.705746+2 3.226773-5 3.408205+2 3.242580-5 3.155600+2 3.251578-5 3.032432+2 3.268461-5 2.842467+2 3.275916-5 2.775385+2 3.284122-5 2.713011+2 3.304416-5 2.607451+2 3.317760-5 2.572324+2 3.326956-5 2.560994+2 3.358976-5 2.555343+2 3.366952-5 2.550218+2 3.380801-5 2.530170+2 3.391042-5 2.506570+2 3.445453-5 2.350609+2 3.475590-5 2.288124+2 3.519557-5 2.208815+2 3.578383-5 2.098332+2 3.635068-5 2.005516+2 3.723382-5 1.885028+2 3.852563-5 1.743083+2 3.996347-5 1.616597+2 4.120975-5 1.524642+2 4.270071-5 1.431412+2 4.510159-5 1.307054+2 5.036737-5 1.102010+2 5.098724-5 1.085046+2 5.186700-5 1.073197+2 5.231109-5 1.062707+2 5.297910-5 1.042525+2 5.360277-5 1.027252+2 5.570942-5 9.844869+1 5.800000-5 9.456855+1 6.008830-5 9.176833+1 6.255327-5 8.918694+1 6.553600-5 8.696542+1 6.960070-5 8.547316+1 7.310489-5 8.509478+1 7.680000-5 8.537545+1 8.810489-5 8.735341+1 9.170955-5 8.758560+1 9.470250-5 8.747152+1 9.680985-5 8.716533+1 9.903030-5 8.659789+1 1.016913-4 8.548877+1 1.040738-4 8.409046+1 1.060325-4 8.263712+1 1.078707-4 8.097790+1 1.095959-4 7.917664+1 1.119866-4 7.629877+1 1.151481-4 7.215530+1 1.161449-4 7.194423+1 1.163923-4 7.218990+1 1.171793-4 7.390617+1 1.180437-4 7.717529+1 1.188682-4 8.120506+1 1.196546-4 8.571020+1 1.204019-4 9.061960+1 1.211315-4 9.609509+1 1.220000-4 1.036578+2 1.224742-4 1.083515+2 1.233009-4 1.176635+2 1.240767-4 1.279505+2 1.248048-4 1.392697+2 1.254880-4 1.516812+2 1.261293-4 1.652413+2 1.267311-4 1.799985+2 1.273615-4 1.980066+2 1.278427-4 2.138575+2 1.284701-4 2.378615+2 1.288400-4 2.541232+2 1.292629-4 2.750122+2 1.296783-4 2.983422+2 1.300679-4 3.232053+2 1.304330-4 3.496251+2 1.307754-4 3.776174+2 1.310964-4 4.071925+2 1.315000-4 4.498619+2 1.319438-4 5.054744+2 1.323576-4 5.678308+2 1.326421-4 6.182324+2 1.330379-4 7.016281+2 1.334329-4 8.055256+2 1.337112-4 8.957276+2 1.339862-4 1.003510+3 1.342267-4 1.117663+3 1.344372-4 1.236963+3 1.346214-4 1.359757+3 1.347826-4 1.484133+3 1.349236-4 1.608114+3 1.351704-4 1.865451+3 1.353555-4 2.098343+3 1.354943-4 2.299220+3 1.357025-4 2.648696+3 1.359107-4 3.063759+3 1.367031-4 5.385922+3 1.369143-4 6.230440+3 1.370401-4 6.779845+3 1.372301-4 7.673486+3 1.374174-4 8.622876+3 1.377540-4 1.046952+4 1.377960-4 1.070985+4 1.380905-4 1.242091+4 1.382062-4 1.309521+4 1.384271-4 1.435738+4 1.385275-4 1.491075+4 1.386982-4 1.580752+4 1.388290-4 1.644523+4 1.389357-4 1.692754+4 1.390758-4 1.749949+4 1.392222-4 1.801290+4 1.393916-4 1.848649+4 1.394579-4 1.863367+4 1.396551-4 1.893689+4 1.398043-4 1.902644+4 1.400097-4 1.894730+4 1.401581-4 1.874482+4 1.402939-4 1.845598+4 1.404622-4 1.796803+4 1.405672-4 1.759585+4 1.407982-4 1.661560+4 1.409503-4 1.586796+4 1.411092-4 1.502050+4 1.412632-4 1.415289+4 1.414248-4 1.321407+4 1.416145-4 1.210522+4 1.418206-4 1.093052+4 1.423083-4 8.506195+3 1.424660-4 7.884805+3 1.428134-4 6.875369+3 1.429231-4 6.666692+3 1.429794-4 6.580403+3 1.431063-4 6.438380+3 1.431855-4 6.385891+3 1.432876-4 6.358473+3 1.433925-4 6.375969+3 1.435042-4 6.443145+3 1.436231-4 6.566367+3 1.437563-4 6.762306+3 1.439003-4 7.034883+3 1.440878-4 7.468451+3 1.445590-4 8.794040+3 1.447835-4 9.454450+3 1.449691-4 9.972308+3 1.451396-4 1.040596+4 1.453136-4 1.079113+4 1.454869-4 1.110494+4 1.456536-4 1.133214+4 1.457252-4 1.140567+4 1.459715-4 1.154375+4 1.460829-4 1.154692+4 1.462422-4 1.148822+4 1.463446-4 1.141235+4 1.465144-4 1.122420+4 1.466324-4 1.105069+4 1.467874-4 1.077485+4 1.469367-4 1.046305+4 1.471610-4 9.925334+3 1.473354-4 9.462448+3 1.475535-4 8.847263+3 1.476851-4 8.464409+3 1.480333-4 7.443852+3 1.482118-4 6.932138+3 1.486419-4 5.781220+3 1.494157-4 4.130018+3 1.496154-4 3.798899+3 1.498861-4 3.408032+3 1.501567-4 3.077626+3 1.503577-4 2.866941+3 1.507202-4 2.550334+3 1.511278-4 2.272987+3 1.515169-4 2.066951+3 1.517628-4 1.959280+3 1.519961-4 1.870014+3 1.523201-4 1.762963+3 1.526769-4 1.663184+3 1.530403-4 1.576707+3 1.534242-4 1.498079+3 1.538609-4 1.420780+3 1.542797-4 1.355863+3 1.550417-4 1.254497+3 1.557742-4 1.172298+3 1.563801-4 1.113765+3 1.570499-4 1.058435+3 1.576155-4 1.019041+3 1.582747-4 9.807543+2 1.588566-4 9.525869+2 1.597458-4 9.166637+2 1.603245-4 8.961923+2 1.616707-4 8.535430+2 1.632212-4 8.119762+2 1.650573-4 7.739837+2 1.666310-4 7.497270+2 1.680311-4 7.330192+2 1.702283-4 7.133334+2 1.726000-4 6.980033+2 1.752871-4 6.840486+2 1.792500-4 6.663317+2 1.876425-4 6.348717+2 1.961867-4 6.079284+2 2.042559-4 5.873748+2 2.121871-4 5.706457+2 2.207246-4 5.563092+2 2.305125-4 5.440214+2 2.583838-4 5.177970+2 2.641674-4 5.160292+2 2.674920-4 5.165031+2 2.702845-4 5.207902+2 2.730157-4 5.256917+2 2.749264-4 5.250017+2 2.785136-4 5.186785+2 2.802836-4 5.193806+2 2.810139-4 5.207559+2 2.849691-4 5.332748+2 2.896530-4 5.457713+2 3.016140-4 5.647991+2 3.116584-4 5.770274+2 3.218840-4 5.959086+2 3.396604-4 6.207163+2 3.612431-4 6.431401+2 3.766831-4 6.550918+2 3.816022-4 6.611568+2 3.925602-4 6.820656+2 4.102630-4 7.071573+2 4.466836-4 7.441285+2 4.915796-4 7.785446+2 5.401321-4 8.064805+2 5.895994-4 8.256799+2 6.425737-4 8.369763+2 6.943832-4 8.391879+2 7.455899-4 8.333030+2 8.013793-4 8.153779+2 8.562192-4 7.888909+2 9.022201-4 7.592447+2 9.495110-4 7.206336+2 9.901406-4 6.790594+2 1.021821-3 6.395577+2 1.050147-3 5.976338+2 1.074608-3 5.546501+2 1.093327-3 5.160441+2 1.110843-3 4.743949+2 1.125285-3 4.349677+2 1.136686-3 4.012639+2 1.146503-3 3.915357+2 1.154319-3 4.718528+2 1.155079-3 4.891451+2 1.159353-3 6.344104+2 1.160765-3 7.031197+2 1.163608-3 8.759287+2 1.166452-3 1.093683+3 1.169494-3 1.366956+3 1.173134-3 1.719129+3 1.176365-3 2.015857+3 1.177559-3 2.113553+3 1.180461-3 2.309660+3 1.181009-3 2.338949+3 1.183887-3 2.448530+3 1.186766-3 2.484083+3 1.189714-3 2.456103+3 1.191790-3 2.409764+3 1.197725-3 2.249337+3 1.199993-3 2.205086+3 1.201678-3 2.183417+3 1.203714-3 2.169686+3 1.206803-3 2.167860+3 1.209902-3 2.172048+3 1.214281-3 2.145745+3 1.215012-3 2.134505+3 1.217959-3 2.064212+3 1.220906-3 1.953601+3 1.224840-3 1.755450+3 1.229386-3 1.494009+3 1.235096-3 1.195741+3 1.238013-3 1.078216+3 1.240938-3 9.891166+2 1.243849-3 9.278251+2 1.248080-3 8.797993+2 1.252323-3 8.668948+2 1.257040-3 8.766899+2 1.261292-3 8.958548+2 1.272406-3 9.549505+2 1.279689-3 9.913282+2 1.292746-3 1.051446+3 1.314389-3 1.143230+3 1.330646-3 1.205372+3 1.348963-3 1.266205+3 1.371737-3 1.329772+3 1.390285-3 1.371509+3 1.410806-3 1.406700+3 1.429665-3 1.428972+3 1.449870-3 1.443666+3 1.467975-3 1.448872+3 1.500774-3 1.445093+3 1.509106-3 1.448801+3 1.516949-3 1.458328+3 1.527693-3 1.481353+3 1.552227-3 1.549762+3 1.574375-3 1.606369+3 1.583058-3 1.625490+3 1.595937-3 1.648727+3 1.613349-3 1.670937+3 1.655588-3 1.703408+3 1.679741-3 1.733401+3 1.717908-3 1.791712+3 1.731459-3 1.809628+3 1.748810-3 1.827868+3 1.770960-3 1.844166+3 1.797683-3 1.855573+3 1.847084-3 1.863003+3 1.858904-3 1.870426+3 1.877186-3 1.891134+3 1.909802-3 1.931578+3 1.931777-3 1.949157+3 1.957011-3 1.963076+3 2.030746-3 1.988736+3 2.107036-3 2.002475+3 2.215485-3 2.007589+3 2.368816-3 2.000986+3 2.564853-3 1.974469+3 2.742846-3 1.941494+3 2.995185-3 1.882809+3 3.219678-3 1.828471+3 3.445432-3 1.766710+3 3.729333-3 1.689509+3 3.900000-3 1.644489+3 4.105590-3 1.589706+3 4.474300-3 1.492561+3 4.684088-3 1.438723+3 4.903959-3 1.383735+3 5.109736-3 1.333393+3 5.328135-3 1.280995+3 5.556543-3 1.226423+3 5.778506-3 1.173953+3 5.966105-3 1.128994+3 6.137244-3 1.087360+3 6.283179-3 1.050994+3 6.423327-3 1.014904+3 6.543649-3 9.823522+2 6.646193-3 9.528024+2 6.737632-3 9.245439+2 6.816270-3 8.981545+2 6.878842-3 8.750477+2 6.929692-3 8.541755+2 6.979708-3 8.308075+2 7.021276-3 8.081687+2 7.065877-3 7.796022+2 7.127778-3 7.344040+2 7.161434-3 7.115946+2 7.190378-3 6.968939+2 7.211961-3 6.904968+2 7.234148-3 6.887564+2 7.254824-3 6.916436+2 7.277015-3 6.991167+2 7.302890-3 7.122355+2 7.368043-3 7.531766+2 7.389261-3 7.655393+2 7.414537-3 7.783937+2 7.446035-3 7.912547+2 7.476081-3 8.004439+2 7.509680-3 8.077251+2 7.554042-3 8.135583+2 7.602699-3 8.161484+2 7.651584-3 8.153732+2 7.698276-3 8.115591+2 7.740444-3 8.054829+2 7.868328-3 7.799097+2 7.909366-3 7.767376+2 7.947684-3 7.793392+2 7.980805-3 7.858569+2 8.085511-3 8.171230+2 8.137097-3 8.286082+2 8.168532-3 8.329532+2 8.298935-3 8.410969+2 8.350620-3 8.479036+2 8.433494-3 8.668355+2 8.506862-3 8.850780+2 8.547341-3 8.933605+2 8.592609-3 9.007065+2 8.642448-3 9.067931+2 8.710104-3 9.126777+2 8.869263-3 9.202417+2 9.047961-3 9.227534+2 9.353562-3 9.191971+2 9.588556-3 9.120592+2 9.980682-3 8.947774+2 1.040815-2 8.719324+2 1.100653-2 8.364799+2 1.169205-2 7.940350+2 1.264970-2 7.359320+2 1.373048-2 6.754180+2 1.525253-2 6.002522+2 1.720196-2 5.203423+2 1.945792-2 4.463412+2 2.132585-2 3.963056+2 2.363860-2 3.445945+2 2.554996-2 3.082962+2 2.765327-2 2.737692+2 3.002695-2 2.407070+2 3.377786-2 1.991903+2 3.641942-2 1.759020+2 3.791432-2 1.642577+2 3.944903-2 1.531790+2 4.186959-2 1.372331+2 4.382286-2 1.254565+2 4.537711-2 1.165394+2 4.652087-2 1.100260+2 4.743597-2 1.046186+2 4.815281-2 9.999589+1 4.844764-2 9.787618+1 4.869125-2 9.595124+1 4.906525-2 9.255402+1 4.950483-2 8.791545+1 4.984273-2 8.458995+1 5.003948-2 8.322396+1 5.019573-2 8.260564+1 5.035203-2 8.245034+1 5.052344-2 8.279141+1 5.072630-2 8.375071+1 5.136559-2 8.799975+1 5.160791-2 8.924866+1 5.188000-2 9.024206+1 5.230937-2 9.112567+1 5.287834-2 9.153405+1 5.350000-2 9.145194+1 5.437514-2 9.084261+1 5.588415-2 8.908994+1 5.762848-2 8.649817+1 6.017435-2 8.229399+1 6.385816-2 7.612238+1 6.761313-2 7.018400+1 7.261321-2 6.302001+1 7.791362-2 5.634685+1 8.629781-2 4.754430+1 9.988631-2 3.699698+1 1.127685-1 2.986898+1 1.302433-1 2.301453+1 1.859504-1 1.196771+1 2.235502-1 8.489059+0 2.693883-1 5.955641+0 3.636582-1 3.338732+0 5.498375-1 1.490407+0 8.759917-1 5.956865-1 1.546860+0 1.927696-1 4.068655+0 2.798330-2 1.228714+1 3.070229-3 3.710658+1 3.366673-4 1.120601+2 3.691512-5 3.384160+2 4.047666-6 1.258925+3 2.924869-7 3.981072+3 2.924869-8 1.258925+4 2.924869-9 3.981072+4 2.92487-10 1.000000+5 4.63561-11 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.236900-6 1.258900-6 3.545200-6 1.584900-6 5.618700-6 1.995300-6 8.905100-6 2.511900-6 1.411400-5 3.162300-6 2.236800-5 3.981100-6 3.545100-5 5.011900-6 5.618600-5 6.309600-6 8.904900-5 7.943300-6 1.411300-4 1.000000-5 2.236800-4 1.258900-5 3.545000-4 1.584900-5 5.615700-4 1.995300-5 8.895000-4 2.511900-5 1.409100-3 3.162300-5 2.232300-3 3.981100-5 3.537000-3 5.011900-5 5.604600-3 6.309600-5 8.880900-3 7.943300-5 1.405900-2 1.000000-4 2.224600-2 1.258900-4 3.515700-2 1.584900-4 5.547300-2 1.995300-4 8.729600-2 2.511900-4 1.368600-1 3.162300-4 2.132800-1 3.981100-4 3.289300-1 5.011900-4 4.984200-1 6.309600-4 7.377600-1 7.943300-4 1.059600+0 1.000000-3 1.470800+0 1.258900-3 1.973500+0 1.584900-3 2.583500+0 1.995300-3 3.337600+0 2.511900-3 4.274800+0 3.162300-3 5.415800+0 3.981100-3 6.774100+0 5.011900-3 8.358500+0 6.309600-3 1.011800+1 7.943300-3 1.201800+1 1.000000-2 1.405500+1 1.258900-2 1.624100+1 1.584900-2 1.854300+1 1.995300-2 2.080000+1 2.511900-2 2.290400+1 3.162300-2 2.473200+1 3.981100-2 2.616700+1 5.011900-2 2.720000+1 6.309600-2 2.781200+1 7.943300-2 2.796700+1 1.000000-1 2.766600+1 1.258900-1 2.694100+1 1.584900-1 2.588800+1 1.995300-1 2.458000+1 2.511900-1 2.309000+1 3.162300-1 2.149100+1 3.981100-1 1.983500+1 5.011900-1 1.817100+1 6.309600-1 1.653500+1 7.943300-1 1.494600+1 1.000000+0 1.342700+1 1.258900+0 1.198100+1 1.584900+0 1.062200+1 1.995300+0 9.355400+0 2.511900+0 8.187000+0 3.162300+0 7.119900+0 3.981100+0 6.155100+0 5.011900+0 5.291100+0 6.309600+0 4.524800+0 7.943300+0 3.850600+0 1.000000+1 3.262500+0 1.258900+1 2.753000+0 1.584900+1 2.314500+0 1.995300+1 1.939500+0 2.511900+1 1.620300+0 3.162300+1 1.350000+0 3.981100+1 1.122000+0 5.011900+1 9.305100-1 6.309600+1 7.701300-1 7.943300+1 6.362300-1 1.000000+2 5.247400-1 1.258900+2 4.321400-1 1.584900+2 3.553800-1 1.995300+2 2.918900-1 2.511900+2 2.394500-1 3.162300+2 1.962300-1 3.981100+2 1.606400-1 5.011900+2 1.313900-1 6.309600+2 1.073700-1 7.943300+2 8.766700-2 1.000000+3 7.152500-2 1.258900+3 5.831400-2 1.584900+3 4.751000-2 1.995300+3 3.868300-2 2.511900+3 3.147700-2 3.162300+3 2.559900-2 3.981100+3 2.080700-2 5.011900+3 1.690300-2 6.309600+3 1.372400-2 7.943300+3 1.113800-2 1.000000+4 9.035500-3 1.258900+4 7.326500-3 1.584900+4 5.938200-3 1.995300+4 4.811000-3 2.511900+4 3.896300-3 3.162300+4 3.154400-3 3.981100+4 2.552800-3 5.011900+4 2.065200-3 6.309600+4 1.670200-3 7.943300+4 1.350300-3 1.000000+5 1.091300-3 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510165-4 3.162278-4 3.159549-4 3.981072-4 3.976775-4 5.011872-4 5.005105-4 6.309573-4 6.298946-4 7.943282-4 7.926649-4 1.000000-3 9.974019-4 1.258925-3 1.254885-3 1.584893-3 1.578594-3 1.995262-3 1.985399-3 2.511886-3 2.496398-3 3.162278-3 3.137953-3 3.981072-3 3.942857-3 5.011872-3 4.952141-3 6.309573-3 6.216266-3 7.943282-3 7.798356-3 1.000000-2 9.774756-3 1.258925-2 1.223914-2 1.584893-2 1.530562-2 1.995262-2 1.911216-2 2.511886-2 2.382995-2 3.162278-2 2.965916-2 3.981072-2 3.683270-2 5.011872-2 4.562799-2 6.309573-2 5.636528-2 7.943282-2 6.942245-2 1.000000-1 8.524216-2 1.258925-1 1.043439-1 1.584893-1 1.272988-1 1.995262-1 1.547913-1 2.511886-1 1.875958-1 3.162278-1 2.266121-1 3.981072-1 2.728510-1 5.011872-1 3.275302-1 6.309573-1 3.920204-1 7.943282-1 4.680730-1 1.000000+0 5.573945-1 1.258925+0 6.627039-1 1.584893+0 7.870644-1 1.995262+0 9.341414-1 2.511886+0 1.108698+0 3.162278+0 1.316397+0 3.981072+0 1.564356+0 5.011872+0 1.861186+0 6.309573+0 2.217380+0 7.943282+0 2.645920+0 1.000000+1 3.162511+0 1.258925+1 3.786538+0 1.584893+1 4.541696+0 1.995262+1 5.456940+0 2.511886+1 6.567631+0 3.162278+1 7.917659+0 3.981072+1 9.560260+0 5.011872+1 1.156097+1 6.309573+1 1.400065+1 7.943282+1 1.697824+1 1.000000+2 2.061568+1 1.258925+2 2.506288+1 1.584893+2 3.050456+1 1.995262+2 3.716808+1 2.511886+2 4.533295+1 3.162278+2 5.534566+1 3.981072+2 6.763015+1 5.011872+2 8.271341+1 6.309573+2 1.012429+2 7.943282+2 1.240187+2 1.000000+3 1.520278+2 1.258925+3 1.864916+2 1.584893+3 2.289204+2 1.995262+3 2.811768+2 2.511886+3 3.455580+2 3.162278+3 4.249389+2 3.981072+3 5.228222+2 5.011872+3 6.435810+2 6.309573+3 7.926416+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88202-10 1.995262-5 1.090640-9 2.511886-5 1.728519-9 3.162278-5 2.739543-9 3.981072-5 4.341919-9 5.011872-5 6.881443-9 6.309573-5 1.090605-8 7.943282-5 1.727959-8 1.000000-4 2.737876-8 1.258925-4 4.337283-8 1.584893-4 6.869588-8 1.995262-4 1.087615-7 2.511886-4 1.721304-7 3.162278-4 2.728432-7 3.981072-4 4.297009-7 5.011872-4 6.767534-7 6.309573-4 1.062699-6 7.943282-4 1.663301-6 1.000000-3 2.598085-6 1.258925-3 4.040019-6 1.584893-3 6.299658-6 1.995262-3 9.863033-6 2.511886-3 1.548838-5 3.162278-3 2.432417-5 3.981072-3 3.821471-5 5.011872-3 5.973160-5 6.309573-3 9.330736-5 7.943282-3 1.449261-4 1.000000-2 2.252443-4 1.258925-2 3.501095-4 1.584893-2 5.433141-4 1.995262-2 8.404654-4 2.511886-2 1.288910-3 3.162278-2 1.963619-3 3.981072-2 2.978015-3 5.011872-2 4.490736-3 6.309573-2 6.730454-3 7.943282-2 1.001037-2 1.000000-1 1.475784-2 1.258925-1 2.154864-2 1.584893-1 3.119053-2 1.995262-1 4.473489-2 2.511886-1 6.359285-2 3.162278-1 8.961568-2 3.981072-1 1.252562-1 5.011872-1 1.736571-1 6.309573-1 2.389369-1 7.943282-1 3.262552-1 1.000000+0 4.426055-1 1.258925+0 5.962216-1 1.584893+0 7.978288-1 1.995262+0 1.061121+0 2.511886+0 1.403189+0 3.162278+0 1.845881+0 3.981072+0 2.416715+0 5.011872+0 3.150686+0 6.309573+0 4.092194+0 7.943282+0 5.297362+0 1.000000+1 6.837489+0 1.258925+1 8.802716+0 1.584893+1 1.130724+1 1.995262+1 1.449568+1 2.511886+1 1.855123+1 3.162278+1 2.370512+1 3.981072+1 3.025046+1 5.011872+1 3.855775+1 6.309573+1 4.909509+1 7.943282+1 6.245459+1 1.000000+2 7.938432+1 1.258925+2 1.008297+2 1.584893+2 1.279848+2 1.995262+2 1.623581+2 2.511886+2 2.058557+2 3.162278+2 2.608821+2 3.981072+2 3.304770+2 5.011872+2 4.184738+2 6.309573+2 5.297145+2 7.943282+2 6.703095+2 1.000000+3 8.479722+2 1.258925+3 1.072434+3 1.584893+3 1.355973+3 1.995262+3 1.714086+3 2.511886+3 2.166328+3 3.162278+3 2.737339+3 3.981072+3 3.458250+3 5.011872+3 4.368291+3 6.309573+3 5.516932+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.850000-6 3.547428+6 5.100000-6 3.788412+6 5.190000-6 3.865075+6 5.190000-6 5.882575+6 5.308844-6 6.056486+6 5.495409-6 6.309604+6 5.600000-6 6.444955+6 5.700000-6 6.562914+6 5.710000-6 6.574071+6 5.710000-6 1.043871+7 5.888437-6 1.013532+7 5.956621-6 1.003443+7 6.200000-6 9.739313+6 6.237348-6 9.702355+6 6.531306-6 9.443087+6 6.606934-6 9.391496+6 6.700000-6 9.329968+6 6.918310-6 9.213960+6 7.079458-6 9.147115+6 7.244360-6 9.086326+6 7.350000-6 9.054601+6 7.585776-6 8.995335+6 7.762471-6 8.957173+6 7.852356-6 8.941745+6 8.128305-6 8.901568+6 8.222426-6 8.887959+6 8.413951-6 8.866270+6 8.709636-6 8.837662+6 9.015711-6 8.807038+6 9.225714-6 8.786179+6 9.332543-6 8.777430+6 9.660509-6 8.740429+6 9.885531-6 8.713182+6 1.000000-5 8.700773+6 1.023293-5 8.665997+6 1.059254-5 8.607600+6 1.071519-5 8.583130+6 1.083927-5 8.559310+6 1.122018-5 8.478512+6 1.150000-5 8.409252+6 1.180000-5 8.327981+6 1.188502-5 8.305865+6 1.215000-5 8.224997+6 1.230269-5 8.174449+6 1.250000-5 8.111114+6 1.273503-5 8.025622+6 1.318257-5 7.857343+6 1.333521-5 7.795264+6 1.350000-5 7.724480+6 1.380384-5 7.598401+6 1.400000-5 7.510812+6 1.412538-5 7.451943+6 1.445440-5 7.302497+6 1.462177-5 7.222133+6 1.470000-5 7.182915+6 1.500000-5 7.036628+6 1.513561-5 6.972554+6 1.531087-5 6.884432+6 1.560000-5 6.735642+6 1.590000-5 6.587671+6 1.603245-5 6.519541+6 1.620000-5 6.430795+6 1.620000-5 6.835767+6 1.621810-5 6.826016+6 1.650000-5 6.677480+6 1.659587-5 6.628333+6 1.678804-5 6.525743+6 1.680000-5 6.519173+6 1.703000-5 6.395136+6 1.703000-5 6.673899+6 1.717908-5 6.594595+6 1.737801-5 6.491443+6 1.757924-5 6.384192+6 1.800000-5 6.161794+6 1.830000-5 6.012111+6 1.840772-5 5.957208+6 1.850000-5 5.909285+6 1.883649-5 5.740052+6 1.905461-5 5.635361+6 1.927525-5 5.532804+6 1.949845-5 5.424853+6 1.950000-5 5.424119+6 1.972423-5 5.320344+6 2.018366-5 5.118093+6 2.041738-5 5.014569+6 2.090000-5 4.812869+6 2.113489-5 4.720588+6 2.137962-5 4.625953+6 2.162719-5 4.530306+6 2.190000-5 4.429973+6 2.238721-5 4.261703+6 2.264644-5 4.175812+6 2.270000-5 4.158614+6 2.300000-5 4.061938+6 2.344229-5 3.928612+6 2.371374-5 3.851802+6 2.400000-5 3.773533+6 2.426610-5 3.701699+6 2.450000-5 3.641583+6 2.454709-5 3.629905+6 2.500000-5 3.521836+6 2.511886-5 3.495037+6 2.570396-5 3.369530+6 2.580000-5 3.349494+6 2.600160-5 3.309659+6 2.660725-5 3.197854+6 2.691535-5 3.147237+6 2.754229-5 3.050499+6 2.851018-5 2.924067+6 2.900000-5 2.871953+6 2.917427-5 2.854321+6 2.951209-5 2.822142+6 3.018000-5 2.767541+6 3.018000-5 1.284446+7 3.080000-5 1.221348+7 3.090295-5 1.211421+7 3.126079-5 1.175572+7 3.162278-5 1.141123+7 3.198895-5 1.108015+7 3.235937-5 1.074686+7 3.273407-5 1.042884+7 3.350000-5 9.832429+6 3.388442-5 9.548257+6 3.467369-5 9.013484+6 3.483000-5 8.915117+6 3.483000-5 1.364020+7 3.548134-5 1.306012+7 3.570000-5 1.286705+7 3.589219-5 1.269878+7 3.630781-5 1.234929+7 3.672823-5 1.200006+7 3.730000-5 1.155660+7 3.758374-5 1.134866+7 3.801894-5 1.103576+7 3.845918-5 1.073761+7 3.850000-5 1.071037+7 3.900000-5 1.038726+7 3.920000-5 1.026423+7 3.935501-5 1.016940+7 4.027170-5 9.647062+6 4.073803-5 9.403986+6 4.120975-5 9.168804+6 4.150000-5 9.030909+6 4.168694-5 8.945057+6 4.220000-5 8.719165+6 4.265795-5 8.529075+6 4.315191-5 8.333470+6 4.415704-5 7.972244+6 4.500000-5 7.703631+6 4.518559-5 7.647757+6 4.570882-5 7.496294+6 4.650000-5 7.288110+6 4.677351-5 7.220453+6 4.731513-5 7.094438+6 4.800000-5 6.947315+6 4.841724-5 6.863316+6 4.900000-5 6.754657+6 4.954502-5 6.660853+6 5.011872-5 6.568811+6 5.069907-5 6.483992+6 5.128614-5 6.406007+6 5.188000-5 6.334573+6 5.248075-5 6.265109+6 5.370318-5 6.147901+6 5.432503-5 6.097770+6 5.466000-5 6.073187+6 5.466000-5 6.134070+6 5.500000-5 6.111003+6 5.520000-5 6.096685+6 5.575000-5 6.060377+6 5.623413-5 6.032926+6 5.754399-5 5.973270+6 5.800000-5 5.957082+6 5.821032-5 5.950295+6 5.900000-5 5.922531+6 5.920000-5 5.916872+6 5.956621-5 5.907515+6 6.095369-5 5.883479+6 6.165950-5 5.876885+6 6.237348-5 5.867703+6 6.309573-5 5.862987+6 6.500000-5 5.864983+6 6.531306-5 5.867396+6 6.800000-5 5.885034+6 6.839116-5 5.889919+6 6.918310-5 5.895211+6 7.000000-5 5.902588+6 7.161434-5 5.923742+6 7.328245-5 5.938055+6 7.400000-5 5.945992+6 7.500000-5 5.958690+6 7.762471-5 5.978148+6 7.800000-5 5.981722+6 7.852356-5 5.986911+6 7.900000-5 5.990451+6 8.000000-5 5.993161+6 8.128305-5 5.998722+6 8.150000-5 5.999780+6 8.222426-5 6.004128+6 8.300000-5 6.006367+6 8.317638-5 6.006939+6 8.413951-5 6.005319+6 8.500000-5 6.004333+6 8.511380-5 6.004281+6 8.650000-5 6.005243+6 8.709636-5 6.004032+6 8.800000-5 6.002441+6 8.810489-5 6.001823+6 8.912509-5 5.996131+6 9.015711-5 5.991786+6 9.120108-5 5.987713+6 9.332543-5 5.975007+6 9.400000-5 5.969522+6 9.660509-5 5.949515+6 9.800000-5 5.936303+6 9.900000-5 5.927685+6 1.000000-4 5.915874+6 1.023293-4 5.889621+6 1.035142-4 5.874098+6 1.040000-4 5.868003+6 1.050000-4 5.855666+6 1.060000-4 5.843608+6 1.071519-4 5.826386+6 1.083927-4 5.808443+6 1.096478-4 5.790586+6 1.115000-4 5.761246+6 1.122018-4 5.750370+6 1.135011-4 5.730732+6 1.148154-4 5.707127+6 1.150000-4 5.703851+6 1.161449-4 5.683627+6 1.174898-4 5.657497+6 1.190000-4 5.628921+6 1.202264-4 5.606155+6 1.220000-4 5.568774+6 1.230269-4 5.547542+6 1.244515-4 5.515698+6 1.250000-4 5.503671+6 1.258925-4 5.484288+6 1.273503-4 5.453115+6 1.280000-4 5.437841+6 1.288250-4 5.418634+6 1.288400-4 5.418287+6 1.303167-4 5.384544+6 1.307000-4 5.375183+6 1.315000-4 5.355795+6 1.318257-4 5.347961+6 1.333521-4 5.311557+6 1.345000-4 5.284637+6 1.350000-4 5.273034+6 1.362400-4 5.241868+6 1.375000-4 5.210694+6 1.380384-4 5.197523+6 1.390000-4 5.172520+6 1.405000-4 5.134114+6 1.412538-4 5.115085+6 1.415000-4 5.108904+6 1.430000-4 5.071650+6 1.440000-4 5.045368+6 1.445440-4 5.031209+6 1.462177-4 4.988239+6 1.480000-4 4.943433+6 1.496236-4 4.901377+6 1.500000-4 4.891765+6 1.513561-4 4.857499+6 1.515000-4 4.853887+6 1.540000-4 4.792106+6 1.548817-4 4.769090+6 1.563000-4 4.732585+6 1.563000-4 5.191480+6 1.566751-4 5.184719+6 1.570000-4 5.178920+6 1.577000-4 5.170049+6 1.584893-4 5.163557+6 1.594000-4 5.159221+6 1.603245-4 5.158684+6 1.605000-4 5.158717+6 1.621600-4 5.163269+6 1.621600-4 5.481545+6 1.621810-4 5.481648+6 1.623000-4 5.482237+6 1.627000-4 5.483198+6 1.632000-4 5.486179+6 1.635000-4 5.489011+6 1.639000-4 5.491335+6 1.643000-4 5.495171+6 1.647000-4 5.497658+6 1.650000-4 5.500467+6 1.655000-4 5.502292+6 1.659587-4 5.505290+6 1.665000-4 5.506134+6 1.669000-4 5.507426+6 1.678804-4 5.505952+6 1.685000-4 5.502460+6 1.688000-4 5.500426+6 1.695000-4 5.492901+6 1.698244-4 5.488744+6 1.705000-4 5.476848+6 1.710000-4 5.466796+6 1.713000-4 5.459776+6 1.717908-4 5.446920+6 1.722000-4 5.436339+6 1.730000-4 5.410931+6 1.737801-4 5.383995+6 1.740000-4 5.375910+6 1.750000-4 5.336294+6 1.755000-4 5.315237+6 1.757924-4 5.302433+6 1.761000-4 5.289036+6 1.765600-4 5.267950+6 1.772000-4 5.237991+6 1.778279-4 5.207562+6 1.785000-4 5.174427+6 1.798871-4 5.104903+6 1.800000-4 5.099340+6 1.810000-4 5.047920+6 1.820000-4 4.996696+6 1.842000-4 4.885471+6 1.851100-4 4.840379+6 1.862087-4 4.786944+6 1.865000-4 4.772659+6 1.900000-4 4.606366+6 1.905461-4 4.581380+6 1.927525-4 4.481765+6 1.950000-4 4.386471+6 1.952700-4 4.375332+6 1.980000-4 4.267676+6 2.000000-4 4.193697+6 2.010000-4 4.157132+6 2.020000-4 4.121618+6 2.040000-4 4.053649+6 2.041738-4 4.047698+6 2.065380-4 3.970907+6 2.070000-4 3.956564+6 2.090000-4 3.896525+6 2.100000-4 3.867836+6 2.113489-4 3.830427+6 2.122300-4 3.806924+6 2.128000-4 3.791395+6 2.137962-4 3.764961+6 2.150000-4 3.734225+6 2.162719-4 3.702696+6 2.170000-4 3.685293+6 2.187762-4 3.644162+6 2.190000-4 3.638900+6 2.198000-4 3.620632+6 2.213095-4 3.587220+6 2.220000-4 3.572464+6 2.238721-4 3.533622+6 2.240000-4 3.530997+6 2.264644-4 3.483143+6 2.270000-4 3.472912+6 2.290868-4 3.435336+6 2.300000-4 3.418387+6 2.300300-4 3.417843+6 2.330000-4 3.366192+6 2.340000-4 3.349530+6 2.344229-4 3.342696+6 2.365000-4 3.308420+6 2.371374-4 3.298271+6 2.380400-4 3.284026+6 2.400000-4 3.254266+6 2.440000-4 3.196948+6 2.450000-4 3.183352+6 2.454709-4 3.177097+6 2.483133-4 3.138678+6 2.500000-4 3.116636+6 2.511886-4 3.101670+6 2.540973-4 3.064942+6 2.570396-4 3.029384+6 2.580000-4 3.018126+6 2.600160-4 2.995193+6 2.630268-4 2.960458+6 2.660725-4 2.926451+6 2.722701-4 2.859610+6 2.730000-4 2.852170+6 2.786121-4 2.796476+6 2.788600-4 2.794098+6 2.788600-4 3.092707+6 2.800000-4 3.081539+6 2.830000-4 3.051843+6 2.851018-4 3.031301+6 2.884032-4 2.999348+6 2.900000-4 2.984458+6 2.917427-4 2.968357+6 2.951209-4 2.937445+6 3.000000-4 2.893723+6 3.019952-4 2.875817+6 3.054921-4 2.844720+6 3.090295-4 2.814722+6 3.100000-4 2.806746+6 3.113000-4 2.795621+6 3.113000-4 2.878093+6 3.198895-4 2.808772+6 3.200000-4 2.807929+6 3.273407-4 2.747736+6 3.311311-4 2.717773+6 3.320000-4 2.710936+6 3.388442-4 2.657526+6 3.430000-4 2.626704+6 3.467369-4 2.598673+6 3.507519-4 2.568798+6 3.550000-4 2.537893+6 3.589219-4 2.509046+6 3.600000-4 2.501306+6 3.672823-4 2.450707+6 3.700000-4 2.431935+6 3.715352-4 2.421175+6 3.758374-4 2.391250+6 3.801894-4 2.362137+6 3.813900-4 2.354149+6 3.813900-4 2.456735+6 3.845918-4 2.435302+6 3.850000-4 2.432612+6 3.890451-4 2.405583+6 3.935501-4 2.376503+6 4.000000-4 2.334485+6 4.027170-4 2.316891+6 4.073803-4 2.287069+6 4.100000-4 2.270787+6 4.120975-4 2.257710+6 4.168694-4 2.228708+6 4.240000-4 2.185799+6 4.280000-4 2.162504+6 4.315191-4 2.142132+6 4.365158-4 2.113246+6 4.415704-4 2.083803+6 4.466836-4 2.055015+6 4.500000-4 2.036826+6 4.600000-4 1.983316+6 4.623810-4 1.970714+6 4.677351-4 1.942860+6 4.700000-4 1.931356+6 4.730000-4 1.916210+6 4.731513-4 1.915441+6 4.786301-4 1.887571+6 4.850000-4 1.856331+6 4.897788-4 1.833029+6 4.954502-4 1.806130+6 5.011872-4 1.779331+6 5.050000-4 1.761854+6 5.069907-4 1.752801+6 5.080000-4 1.748234+6 5.128614-4 1.726064+6 5.230000-4 1.681283+6 5.300000-4 1.651292+6 5.370318-4 1.622207+6 5.400000-4 1.609963+6 5.495409-4 1.571566+6 5.500000-4 1.569753+6 5.559043-4 1.546338+6 5.688529-4 1.496973+6 5.754399-4 1.472424+6 5.800000-4 1.455895+6 5.821032-4 1.448391+6 5.888437-4 1.424495+6 5.956621-4 1.400950+6 6.000000-4 1.386364+6 6.025596-4 1.377843+6 6.095369-4 1.354413+6 6.165950-4 1.331413+6 6.309573-4 1.286200+6 6.382635-4 1.264306+6 6.456542-4 1.242424+6 6.500000-4 1.229887+6 6.531306-4 1.220934+6 6.606934-4 1.199238+6 6.683439-4 1.177937+6 6.839116-4 1.136697+6 6.850000-4 1.133854+6 6.998420-4 1.096233+6 7.000000-4 1.095840+6 7.079458-4 1.076371+6 7.161434-4 1.056787+6 7.244360-4 1.037365+6 7.328245-4 1.018363+6 7.413102-4 9.993906+5 7.500000-4 9.805533+5 7.585776-4 9.623253+5 7.673615-4 9.442532+5 7.852356-4 9.091615+5 8.035261-4 8.745303+5 8.222426-4 8.409861+5 8.317638-4 8.247625+5 8.413951-4 8.088512+5 8.511380-4 7.930176+5 8.609938-4 7.774978+5 8.709636-4 7.619504+5 8.810489-4 7.467392+5 8.912509-4 7.318669+5 9.015711-4 7.173239+5 9.120108-4 7.028605+5 9.225714-4 6.886784+5 9.440609-4 6.609609+5 9.549926-4 6.474563+5 9.660509-4 6.341820+5 9.772372-4 6.212062+5 9.885531-4 6.083359+5 1.000000-3 5.955779+5 1.023293-3 5.709275+5 1.047129-3 5.473695+5 1.059254-3 5.357638+5 1.071519-3 5.243506+5 1.083927-3 5.130667+5 1.096478-3 5.020452+5 1.135011-3 4.704041+5 1.161449-3 4.502350+5 1.188502-3 4.307270+5 1.199800-3 4.229325+5 1.199800-3 1.363120+6 1.202264-3 1.359354+6 1.216186-3 1.338407+6 1.230269-3 1.317802+6 1.231600-3 1.315873+6 1.231600-3 1.733331+6 1.258925-3 1.721000+6 1.261500-3 1.719985+6 1.272000-3 1.712948+6 1.273503-3 1.713508+6 1.274000-3 1.713697+6 1.288250-3 1.708192+6 1.303167-3 1.703199+6 1.318257-3 1.694277+6 1.320000-3 1.693165+6 1.333521-3 1.676098+6 1.340000-3 1.666769+6 1.350000-3 1.648908+6 1.364583-3 1.623643+6 1.370000-3 1.613811+6 1.396368-3 1.559214+6 1.428894-3 1.480643+6 1.462177-3 1.401967+6 1.479108-3 1.364145+6 1.496236-3 1.327282+6 1.500000-3 1.319364+6 1.531087-3 1.256481+6 1.541800-3 1.235805+6 1.541800-3 1.422315+6 1.566751-3 1.372637+6 1.570000-3 1.366360+6 1.603245-3 1.303666+6 1.610000-3 1.291452+6 1.621810-3 1.270257+6 1.640590-3 1.237118+6 1.650000-3 1.221107+6 1.659587-3 1.205102+6 1.670000-3 1.188052+6 1.678804-3 1.173771+6 1.686900-3 1.160860+6 1.686900-3 1.230693+6 1.699000-3 1.211302+6 1.717908-3 1.181911+6 1.757924-3 1.122430+6 1.770000-3 1.105341+6 1.778279-3 1.093815+6 1.800000-3 1.064125+6 1.840772-3 1.011201+6 1.862087-3 9.850732+5 1.864600-3 9.820259+5 1.864600-3 1.025377+6 1.883649-3 1.002262+6 1.900000-3 9.830177+5 1.905461-3 9.766797+5 1.927525-3 9.516898+5 1.960000-3 9.161420+5 1.995262-3 8.795770+5 2.018366-3 8.567894+5 2.041738-3 8.345478+5 2.070000-3 8.084956+5 2.113489-3 7.707063+5 2.137962-3 7.504439+5 2.150000-3 7.407176+5 2.162719-3 7.306341+5 2.187762-3 7.113354+5 2.238721-3 6.742559+5 2.264644-3 6.564819+5 2.317395-3 6.220524+5 2.350000-3 6.020920+5 2.371374-3 5.893606+5 2.400000-3 5.728917+5 2.426610-3 5.581552+5 2.454709-3 5.431576+5 2.483133-3 5.285854+5 2.511886-3 5.144268+5 2.540973-3 5.006669+5 2.570396-3 4.871432+5 2.600160-3 4.739229+5 2.630268-3 4.610333+5 2.691535-3 4.361305+5 2.722701-3 4.241994+5 2.754229-3 4.126023+5 2.786121-3 4.012059+5 2.818383-3 3.901416+5 2.884032-3 3.688981+5 2.900000-3 3.639847+5 2.917427-3 3.587276+5 2.951209-3 3.488113+5 3.019952-3 3.298195+5 3.090295-3 3.118544+5 3.162278-3 2.949031+5 3.198895-3 2.867862+5 3.235937-3 2.788133+5 3.300000-3 2.656682+5 3.427678-3 2.418855+5 3.467369-3 2.351262+5 3.507519-3 2.285571+5 3.548134-3 2.221246+5 3.589219-3 2.158308+5 3.715352-3 1.980302+5 3.801894-3 1.869879+5 3.890451-3 1.765521+5 3.900000-3 1.754773+5 3.935501-3 1.715611+5 3.981072-3 1.667179+5 4.000000-3 1.647627+5 4.027170-3 1.619959+5 4.073803-3 1.573971+5 4.168694-3 1.485531+5 4.216965-3 1.443086+5 4.265795-3 1.401782+5 4.315191-3 1.361620+5 4.365158-3 1.322642+5 4.415704-3 1.284837+5 4.466836-3 1.248134+5 4.518559-3 1.212295+5 4.623810-3 1.143529+5 4.677351-3 1.110652+5 4.731513-3 1.078755+5 4.786301-3 1.047650+5 4.800000-3 1.040070+5 4.841724-3 1.017378+5 4.897788-3 9.879967+4 5.011872-3 9.318250+4 5.069907-3 9.048754+4 5.128614-3 8.787446+4 5.188000-3 8.532446+4 5.248075-3 8.285210+4 5.308844-3 8.044483+4 5.370318-3 7.810184+4 5.432503-3 7.583051+4 5.495409-3 7.362705+4 5.500000-3 7.346974+4 5.688529-3 6.739011+4 5.754399-3 6.542358+4 5.888437-3 6.165223+4 5.956621-3 5.984430+4 6.000000-3 5.873218+4 6.025596-3 5.808966+4 6.095369-3 5.638858+4 6.165950-3 5.473307+4 6.382635-3 5.006256+4 6.456542-3 4.860025+4 6.531306-3 4.716827+4 6.606934-3 4.577647+4 6.683439-3 4.442693+4 6.760830-3 4.311394+4 6.839116-3 4.184152+4 6.918310-3 4.060711+4 7.000000-3 3.938433+4 7.161434-3 3.711667+4 7.242700-3 3.604526+4 7.242700-3 9.950511+4 7.244360-3 9.945198+4 7.293000-3 9.791119+4 7.328245-3 9.681378+4 7.380000-3 9.523181+4 7.413102-3 9.416747+4 7.500000-3 9.145189+4 7.585776-3 8.874750+4 7.673615-3 8.609232+4 7.762471-3 8.351725+4 7.852356-3 8.101627+4 7.943282-3 7.859074+4 7.947000-3 7.849159+4 7.947000-3 1.076566+5 8.000000-3 1.057570+5 8.040000-3 1.043539+5 8.070000-3 1.034549+5 8.128305-3 1.015406+5 8.245900-3 9.782179+4 8.317638-3 9.560033+4 8.349800-3 9.462521+4 8.349800-3 1.093687+5 8.480000-3 1.050853+5 8.511380-3 1.041151+5 8.709636-3 9.826993+4 8.810489-3 9.542967+4 8.912509-3 9.267358+4 8.920000-3 9.247543+4 9.015711-3 9.001257+4 9.120108-3 8.743170+4 9.225714-3 8.492725+4 9.332543-3 8.246649+4 9.549926-3 7.769690+4 9.660509-3 7.541810+4 9.885531-3 7.106272+4 1.000000-2 6.898292+4 1.011579-2 6.697225+4 1.023293-2 6.501019+4 1.047129-2 6.125997+4 1.059254-2 5.945200+4 1.071519-2 5.769748+4 1.083927-2 5.599627+4 1.096478-2 5.433367+4 1.109175-2 5.271165+4 1.135011-2 4.961547+4 1.148154-2 4.813807+4 1.150000-2 4.793555+4 1.161449-2 4.670122+4 1.174898-2 4.530740+4 1.188502-2 4.395416+4 1.202264-2 4.264227+4 1.216186-2 4.137031+4 1.220000-2 4.103073+4 1.244515-2 3.894482+4 1.258925-2 3.778374+4 1.273503-2 3.665816+4 1.288250-2 3.556381+4 1.303167-2 3.450310+4 1.318257-2 3.347491+4 1.330000-2 3.270431+4 1.333521-2 3.247620+4 1.348963-2 3.150046+4 1.350000-2 3.143641+4 1.364583-2 3.055452+4 1.380384-2 2.963737+4 1.400000-2 2.855075+4 1.412538-2 2.787742+4 1.428894-2 2.703183+4 1.462177-2 2.541855+4 1.479108-2 2.464935+4 1.496236-2 2.390342+4 1.513561-2 2.318074+4 1.531087-2 2.247946+4 1.540000-2 2.213418+4 1.548817-2 2.179742+4 1.566751-2 2.113392+4 1.584893-2 2.049065+4 1.603245-2 1.986751+4 1.678804-2 1.756316+4 1.698244-2 1.703130+4 1.717908-2 1.651196+4 1.730000-2 1.620354+4 1.737801-2 1.600859+4 1.757924-2 1.552008+4 1.778279-2 1.504294+4 1.798871-2 1.458034+4 1.800000-2 1.455556+4 1.819701-2 1.413228+4 1.840772-2 1.369834+4 1.900000-2 1.257368+4 1.905461-2 1.247612+4 1.927525-2 1.209143+4 1.972423-2 1.135813+4 2.000000-2 1.093771+4 2.018366-2 1.066963+4 2.041738-2 1.034143+4 2.065380-2 1.002303+4 2.089296-2 9.714694+3 2.113489-2 9.416053+3 2.162719-2 8.843701+3 2.187762-2 8.570463+3 2.213095-2 8.303946+3 2.264644-2 7.796109+3 2.317395-2 7.319548+3 2.344229-2 7.092508+3 2.371374-2 6.872523+3 2.398833-2 6.659539+3 2.400000-2 6.650690+3 2.426610-2 6.452299+3 2.511886-2 5.869118+3 2.540973-2 5.686319+3 2.600160-2 5.338068+3 2.660725-2 5.009428+3 2.691535-2 4.852955+3 2.722701-2 4.701367+3 2.754229-2 4.554600+3 2.786121-2 4.412533+3 2.800000-2 4.352614+3 2.818383-2 4.274618+3 2.851018-2 4.140717+3 2.884032-2 4.011069+3 2.917427-2 3.885590+3 3.000000-2 3.596424+3 3.054921-2 3.420209+3 3.090295-2 3.312648+3 3.126079-2 3.208545+3 3.162278-2 3.107713+3 3.198895-2 3.010129+3 3.311311-2 2.735721+3 3.349654-2 2.649962+3 3.388442-2 2.566016+3 3.427678-2 2.484792+3 3.500000-2 2.344123+3 3.548134-2 2.256465+3 3.630781-2 2.116216+3 3.672823-2 2.049467+3 3.715352-2 1.984827+3 3.758374-2 1.922261+3 3.801894-2 1.861555+3 3.845918-2 1.802813+3 3.890451-2 1.745965+3 3.935501-2 1.690949+3 3.981072-2 1.637253+3 4.027170-2 1.585283+3 4.073803-2 1.534830+3 4.216965-2 1.392993+3 4.265795-2 1.348751+3 4.315191-2 1.305942+3 4.365158-2 1.264501+3 4.570882-2 1.111695+3 4.623810-2 1.076534+3 4.677351-2 1.042193+3 4.731513-2 1.008925+3 4.786301-2 9.767302+2 4.841724-2 9.455814+2 4.954502-2 8.860939+2 5.030300-2 8.489729+2 5.030300-2 4.682469+3 5.050000-2 4.631124+3 5.069907-2 4.586450+3 5.128614-2 4.458199+3 5.140000-2 4.433914+3 5.188000-2 4.329962+3 5.248075-2 4.204584+3 5.308844-2 4.075660+3 5.350000-2 3.991413+3 5.432503-2 3.839969+3 5.495409-2 3.729699+3 5.559043-2 3.622590+3 5.623413-2 3.513418+3 5.688529-2 3.407550+3 5.754399-2 3.304886+3 5.821032-2 3.205318+3 6.025596-2 2.924241+3 6.095369-2 2.836125+3 6.237348-2 2.669598+3 6.309573-2 2.590054+3 6.382635-2 2.512892+3 6.456542-2 2.438034+3 6.531306-2 2.365314+3 6.683439-2 2.226313+3 6.760830-2 2.159916+3 6.839116-2 2.095510+3 7.079458-2 1.909814+3 7.161434-2 1.851657+3 7.244360-2 1.795276+3 7.585776-2 1.586465+3 7.673615-2 1.537659+3 7.762471-2 1.490300+3 7.852356-2 1.444393+3 8.035261-2 1.356776+3 8.128305-2 1.314985+3 8.222426-2 1.274485+3 8.317638-2 1.235235+3 8.511380-2 1.160335+3 8.609938-2 1.124610+3 9.015711-2 9.924069+2 9.120108-2 9.618672+2 9.225714-2 9.322345+2 9.332543-2 9.035173+2 9.549926-2 8.479691+2 9.772372-2 7.958443+2 9.885531-2 7.709976+2 1.011580-1 7.236117+2 1.023293-1 7.010265+2 1.047129-1 6.579508+2 1.109175-1 5.615138+2 1.122019-1 5.439970+2 1.135011-1 5.270121+2 1.148154-1 5.105580+2 1.161449-1 4.946159+2 1.174898-1 4.791726+2 1.188502-1 4.640735+2 1.230269-1 4.215744+2 1.258925-1 3.954343+2 1.288250-1 3.709167+2 1.303167-1 3.592356+2 1.318257-1 3.479248+2 1.333521-1 3.369714+2 1.348963-1 3.263625+2 1.380384-1 3.061387+2 1.412538-1 2.871696+2 1.462177-1 2.609012+2 1.479108-1 2.526849+2 1.496236-1 2.447281+2 1.513561-1 2.370228+2 1.548817-1 2.223308+2 1.566751-1 2.153309+2 1.584893-1 2.085514+2 1.603245-1 2.019856+2 1.640590-1 1.894713+2 1.717908-1 1.667296+2 1.757924-1 1.564049+2 1.798871-1 1.467205+2 1.819701-1 1.421061+2 1.840772-1 1.376370+2 1.883649-1 1.291170+2 1.927525-1 1.211251+2 1.972423-1 1.136324+2 2.000000-1 1.093405+2 2.018366-1 1.066038+2 2.041738-1 1.032543+2 2.065380-1 1.000102+2 2.162719-1 8.802310+1 2.187762-1 8.525835+1 2.213095-1 8.258053+1 2.238721-1 7.998697+1 2.264644-1 7.750150+1 2.290868-1 7.509393+1 2.344229-1 7.050115+1 2.371374-1 6.831171+1 2.398833-1 6.619268+1 2.454709-1 6.214997+1 2.483133-1 6.022226+1 2.511886-1 5.835454+1 2.540973-1 5.654473+1 2.570396-1 5.479117+1 2.630268-1 5.144686+1 2.660725-1 4.985259+1 2.691535-1 4.830775+1 2.722701-1 4.682859+1 2.754229-1 4.539470+1 2.786121-1 4.400480+1 2.818383-1 4.265746+1 2.851018-1 4.135151+1 2.884032-1 4.008553+1 2.917427-1 3.885873+1 2.951209-1 3.767157+1 3.000000-1 3.604325+1 3.019952-1 3.540517+1 3.054921-1 3.432402+1 3.090295-1 3.329060+1 3.162278-1 3.131619+1 3.198895-1 3.037347+1 3.235937-1 2.945911+1 3.273407-1 2.857234+1 3.311311-1 2.771255+1 3.349654-1 2.687865+1 3.388442-1 2.606989+1 3.427678-1 2.528549+1 3.467369-1 2.452521+1 3.507519-1 2.378915+1 3.548134-1 2.308685+1 3.589219-1 2.240535+1 3.630781-1 2.174396+1 3.672823-1 2.110234+1 3.801894-1 1.928889+1 3.845918-1 1.871979+1 3.890451-1 1.816766+1 3.935501-1 1.763182+1 3.981072-1 1.711183+1 4.000000-1 1.690613+1 4.027170-1 1.661683+1 4.120975-1 1.567167+1 4.168694-1 1.521945+1 4.216965-1 1.478029+1 4.265795-1 1.435381+1 4.315191-1 1.393967+1 4.365158-1 1.353761+1 4.415705-1 1.314719+1 4.466836-1 1.276804+1 4.518559-1 1.239997+1 4.570882-1 1.205024+1 4.623810-1 1.171129+1 4.677351-1 1.138192+1 4.731513-1 1.106182+1 4.786301-1 1.075073+1 4.841724-1 1.044851+1 4.897788-1 1.015481+1 4.954502-1 9.869375+0 5.000000-1 9.648547+0 5.069907-1 9.322552+0 5.188000-1 8.817036+0 5.248075-1 8.575333+0 5.308844-1 8.340297+0 5.370318-1 8.111795+0 5.432503-1 7.889576+0 5.495409-1 7.673522+0 5.559043-1 7.463391+0 5.623413-1 7.259019+0 5.688529-1 7.060243+0 5.821032-1 6.687341+0 5.888437-1 6.508864+0 6.000000-1 6.228250+0 6.095369-1 6.001941+0 6.165950-1 5.841935+0 6.309573-1 5.534613+0 6.382635-1 5.391003+0 6.456542-1 5.251123+0 6.531306-1 5.115300+0 6.606935-1 4.983128+0 6.683439-1 4.854441+0 6.760830-1 4.729077+0 6.839117-1 4.606954+0 6.918310-1 4.487986+0 6.998420-1 4.372091+0 7.079458-1 4.262039+0 7.161434-1 4.154767+0 7.244360-1 4.050196+0 7.328245-1 3.948618+0 7.413102-1 3.849647+0 7.444800-1 3.813606+0 7.498942-1 3.753172+0 7.585776-1 3.659117+0 7.762471-1 3.478023+0 7.852356-1 3.390872+0 7.943282-1 3.308006+0 8.035261-1 3.227184+0 8.128305-1 3.148338+0 8.222427-1 3.071623+0 8.317638-1 2.996779+0 8.413951-1 2.923837+0 8.511380-1 2.852684+0 8.609938-1 2.783262+0 8.709636-1 2.715539+0 8.810489-1 2.649495+0 8.912509-1 2.586278+0 9.015711-1 2.524570+0 9.120108-1 2.464374+0 9.225714-1 2.405615+0 9.332543-1 2.348307+0 9.440609-1 2.292584+0 9.549926-1 2.238185+0 9.660509-1 2.185076+0 9.885531-1 2.086078+0 1.000000+0 2.038308+0 1.011579+0 1.991634+0 1.023293+0 1.946207+0 1.035142+0 1.901851+0 1.047129+0 1.858503+0 1.059254+0 1.816146+0 1.071519+0 1.774755+0 1.083927+0 1.735261+0 1.096478+0 1.696647+0 1.109175+0 1.658890+0 1.122018+0 1.621994+0 1.135011+0 1.585918+0 1.148154+0 1.550645+0 1.161449+0 1.516158+0 1.174898+0 1.482558+0 1.188502+0 1.449728+0 1.202264+0 1.417624+0 1.216186+0 1.386229+0 1.230269+0 1.356405+0 1.244515+0 1.327226+0 1.273503+0 1.270739+0 1.288250+0 1.243403+0 1.303167+0 1.216669+0 1.318257+0 1.190611+0 1.333521+0 1.165118+0 1.348963+0 1.140178+0 1.364583+0 1.115775+0 1.380384+0 1.092569+0 1.428894+0 1.025806+0 1.462177+0 9.835942-1 1.479108+0 9.632202-1 1.496236+0 9.432707-1 1.513561+0 9.237360-1 1.531087+0 9.046090-1 1.548817+0 8.858770-1 1.584893+0 8.505979-1 1.640590+0 8.002980-1 1.659587+0 7.842125-1 1.678804+0 7.685060-1 1.698244+0 7.531137-1 1.737801+0 7.232613-1 1.757924+0 7.087867-1 1.798871+0 6.815095-1 1.819701+0 6.682682-1 1.840772+0 6.552842-1 1.862087+0 6.425525-1 1.883649+0 6.300776-1 1.927525+0 6.059373-1 1.949845+0 5.942221-1 1.972423+0 5.827383-1 2.018366+0 5.610718-1 2.044000+0 5.495411-1 2.113489+0 5.201286-1 2.137962+0 5.103756-1 2.187762+0 4.914779-1 2.213095+0 4.822975-1 2.238721+0 4.732921-1 2.290868+0 4.562800-1 2.317395+0 4.480055-1 2.398833+0 4.240716-1 2.426610+0 4.163866-1 2.454709+0 4.088664-1 2.511886+0 3.942315-1 2.540973+0 3.871147-1 2.570396+0 3.801292-1 2.630268+0 3.669282-1 2.660725+0 3.605012-1 2.754229+0 3.418877-1 2.786121+0 3.359035-1 2.818383+0 3.300445-1 2.884032+0 3.186313-1 2.917427+0 3.130762-1 2.951209+0 3.076199-1 3.019952+0 2.973042-1 3.054921+0 2.922774-1 3.162278+0 2.777009-1 3.198895+0 2.730088-1 3.235937+0 2.684118-1 3.311311+0 2.594491-1 3.349654+0 2.550826-1 3.427678+0 2.465717-1 3.507519+0 2.385859-1 3.548134+0 2.346909-1 3.672823+0 2.233833-1 3.715352+0 2.197390-1 3.758374+0 2.161667-1 3.845918+0 2.091954-1 3.890451+0 2.057961-1 4.000000+0 1.978254-1 4.073803+0 1.928892-1 4.120975+0 1.898444-1 4.315191+0 1.781383-1 4.365158+0 1.753283-1 4.415704+0 1.725722-1 4.518559+0 1.671892-1 4.570882+0 1.645621-1 4.677351+0 1.594332-1 4.786301+0 1.545976-1 4.841724+0 1.522353-1 5.128614+0 1.409543-1 5.188000+0 1.388020-1 5.248075+0 1.366895-1 5.370318+0 1.325606-1 5.432503+0 1.305440-1 5.559043+0 1.266038-1 5.688529+0 1.228900-1 5.754399+0 1.210744-1 6.095369+0 1.123905-1 6.165950+0 1.107312-1 6.237348+0 1.091020-1 6.309573+0 1.074968-1 6.382635+0 1.059158-1 6.456542+0 1.043587-1 6.606934+0 1.013129-1 6.760830+0 9.843442-2 6.839116+0 9.702614-2 7.413102+0 8.771636-2 7.498942+0 8.646219-2 7.585776+0 8.522981-2 7.673615+0 8.401500-2 7.762471+0 8.281787-2 7.852356+0 8.163835-2 8.035261+0 7.932945-2 8.222427+0 7.714400-2 8.317638+0 7.607405-2 9.015711+0 6.898858-2 9.120108+0 6.803231-2 9.225714+0 6.709204-2 9.440609+0 6.525031-2 9.549926+0 6.434877-2 9.660509+0 6.346006-2 9.885531+0 6.171931-2 1.000000+1 6.088870-2 1.011579+1 6.006931-2 1.023293+1 5.926093-2 1.109175+1 5.389906-2 1.122018+1 5.317421-2 1.135011+1 5.246106-2 1.174898+1 5.037857-2 1.188502+1 4.970317-2 1.202264+1 4.903705-2 1.244515+1 4.709174-2 1.258925+1 4.647526-2 1.273503+1 4.586681-2 1.288250+1 4.526635-2 1.300000+1 4.479838-2 1.303167+1 4.467379-2 1.412538+1 4.073739-2 1.428894+1 4.020442-2 1.445440+1 3.967987-2 1.500000+1 3.803779-2 1.513561+1 3.764939-2 1.531087+1 3.715852-2 1.584893+1 3.572396-2 1.603245+1 3.526824-2 1.621810+1 3.481833-2 1.640590+1 3.437418-2 1.840772+1 3.023278-2 1.862087+1 2.984734-2 1.883649+1 2.946780-2 1.949845+1 2.835788-2 1.972423+1 2.799737-2 2.000000+1 2.756883-2 2.041738+1 2.694345-2 2.065380+1 2.660742-2 2.113489+1 2.594789-2 2.137962+1 2.562430-2 2.162719+1 2.530474-2 2.540973+1 2.122762-2 2.570396+1 2.096302-2 2.630268+1 2.044492-2 2.722701+1 1.969169-2 2.754229+1 1.944697-2 2.800000+1 1.910193-2 2.818383+1 1.896944-2 2.884032+1 1.851051-2 2.917427+1 1.828524-2 3.507519+1 1.503203-2 3.589219+1 1.466851-2 3.630781+1 1.449037-2 3.801894+1 1.379923-2 3.981072+1 1.314106-2 4.027170+1 1.298149-2 4.073803+1 1.282392-2 4.120975+1 1.266826-2 4.168694+1 1.251449-2 4.216965+1 1.236489-2 4.265795+1 1.221708-2 4.315191+1 1.207104-2 4.365158+1 1.192675-2 4.415704+1 1.178418-2 5.188000+1 9.958277-3 5.308844+1 9.721718-3 5.370318+1 9.605754-3 5.559043+1 9.266123-3 5.754399+1 8.938504-3 5.821032+1 8.831893-3 5.888437+1 8.726573-3 6.000000+1 8.557591-3 6.095369+1 8.418143-3 6.165950+1 8.319021-3 6.237348+1 8.221066-3 6.309573+1 8.124264-3 6.456542+1 7.934066-3 6.531306+1 7.840642-3 6.606934+1 7.748325-3 6.760830+1 7.566934-3 8.709636+1 5.831145-3 8.912509+1 5.694675-3 9.015711+1 5.627727-3 9.332543+1 5.431582-3 9.549926+1 5.304632-3 9.660509+1 5.242274-3 9.772372+1 5.180659-3 9.885531+1 5.119776-3 1.011579+2 5.000151-3 1.023293+2 4.941968-3 1.047129+2 4.827626-3 1.059254+2 4.771454-3 1.096478+2 4.606826-3 1.122018+2 4.500242-3 1.135011+2 4.447877-3 1.188502+2 4.244449-3 1.717908+2 2.918564-3 1.757924+2 2.851052-3 1.840772+2 2.720802-3 1.862087+2 2.689180-3 1.883649+2 2.657925-3 1.905461+2 2.627036-3 1.949845+2 2.566339-3 1.972423+2 2.536519-3 2.018366+2 2.478331-3 2.065380+2 2.421476-3 2.089296+2 2.393540-3 2.187762+2 2.284982-3 2.238721+2 2.232564-3 2.264644+2 2.206808-3 2.371374+2 2.106721-3 3.427678+2 1.453274-3 3.507519+2 1.419940-3 3.672823+2 1.355579-3 3.715352+2 1.339951-3 3.758374+2 1.324502-3 3.801894+2 1.309232-3 3.890451+2 1.279220-3 3.935501+2 1.264473-3 4.518559+2 1.100784-3 4.731513+2 1.051074-3 8.035261+2 6.177867-4 8.222427+2 6.036761-4 8.317638+2 5.967422-4 8.709636+2 5.697937-4 8.912509+2 5.567794-4 1.364583+3 3.631168-4 1.396368+3 3.548237-4 1.462177+3 3.388067-4 1.479108+3 3.349167-4 1.496236+3 3.310713-4 1.513561+3 3.272704-4 1.548817+3 3.197989-4 1.566751+3 3.161275-4 1.798871+3 2.753226-4 1.883649+3 2.629270-4 1.273503+4 3.886450-5 1.303167+4 3.797953-5 1.318257+4 3.754463-5 1.380384+4 3.585430-5 1.412538+4 3.503786-5 1.000000+5 4.945959-6 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.850000-6 4.850000-6 5.190000-6 4.850000-6 5.190000-6 4.966607-6 5.710000-6 4.970222-6 5.710000-6 5.244104-6 6.237348-6 5.169672-6 6.918310-6 5.103201-6 7.852356-6 5.049640-6 9.332543-6 5.011644-6 1.250000-5 4.992963-6 1.620000-5 4.992828-6 1.620000-5 5.656775-6 1.703000-5 5.680554-6 1.703000-5 6.154611-6 1.883649-5 6.275322-6 2.018366-5 6.401159-6 2.137962-5 6.551810-6 2.270000-5 6.765062-6 2.371374-5 6.968119-6 2.454709-5 7.163783-6 2.570396-5 7.477135-6 2.691535-5 7.863022-6 2.754229-5 8.081576-6 2.900000-5 8.648438-6 3.018000-5 9.151881-6 3.018000-5 2.564916-5 3.235937-5 2.522301-5 3.483000-5 2.458555-5 3.483000-5 2.813432-5 3.672823-5 2.773698-5 3.935501-5 2.700472-5 4.315191-5 2.572294-5 5.011872-5 2.319474-5 5.248075-5 2.240875-5 5.466000-5 2.174902-5 5.466000-5 2.207568-5 5.800000-5 2.122707-5 6.095369-5 2.061452-5 6.309573-5 2.024051-5 6.531306-5 1.990370-5 6.918310-5 1.944105-5 7.328245-5 1.907600-5 7.900000-5 1.871717-5 8.650000-5 1.842160-5 9.660509-5 1.818410-5 1.122018-4 1.798505-5 1.362400-4 1.785824-5 1.563000-4 1.782470-5 1.563000-4 1.996395-5 1.584893-4 2.010132-5 1.621600-4 2.053909-5 1.621600-4 2.179946-5 1.669000-4 2.241482-5 1.698244-4 2.266855-5 1.722000-4 2.274737-5 1.755000-4 2.267171-5 1.800000-4 2.236992-5 1.927525-4 2.132191-5 2.000000-4 2.085306-5 2.070000-4 2.055539-5 2.137962-4 2.041136-5 2.220000-4 2.040673-5 2.300300-4 2.054217-5 2.400000-4 2.086309-5 2.540973-4 2.148590-5 2.788600-4 2.279947-5 2.788600-4 2.695263-5 3.113000-4 2.884941-5 3.113000-4 2.999856-5 3.430000-4 3.169137-5 3.813900-4 3.346684-5 3.813900-4 3.585406-5 4.240000-4 3.757244-5 4.700000-4 3.909726-5 5.128614-4 4.032413-5 5.688529-4 4.166228-5 6.500000-4 4.321215-5 7.413102-4 4.460710-5 8.609938-4 4.603601-5 1.000000-3 4.734881-5 1.199800-3 4.882650-5 1.199800-3 7.666098-5 1.231600-3 7.691239-5 1.231600-3 8.105405-5 1.320000-3 8.241286-5 1.396368-3 8.289909-5 1.541800-3 8.280677-5 1.541800-3 8.942014-5 1.686900-3 8.996647-5 1.686900-3 9.292974-5 1.864600-3 9.384759-5 1.864600-3 9.712592-5 2.426610-3 1.004230-4 3.198895-3 1.040699-4 4.073803-3 1.073573-4 5.188000-3 1.106713-4 6.683439-3 1.141090-4 7.242700-3 1.151773-4 7.242700-3 1.567734-4 7.947000-3 1.573522-4 7.947000-3 1.663972-4 8.349800-3 1.666101-4 8.349800-3 1.746917-4 1.202264-2 1.781434-4 1.778279-2 1.818407-4 2.540973-2 1.852099-4 3.715352-2 1.886997-4 5.030300-2 1.913323-4 5.030300-2 1.859189-4 1.380384-1 1.868588-4 5.495409-1 1.874413-4 1.000000+5 1.875108-4 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.850000-6 0.0 1.621600-4 0.0 1.621600-4 1.104073-9 1.627000-4 1.105317-9 1.632000-4 1.111299-9 1.639000-4 1.126650-9 1.647000-4 1.153555-9 1.655000-4 1.189119-9 1.665000-4 1.243719-9 1.678804-4 1.329832-9 1.695000-4 1.434989-9 1.705000-4 1.494162-9 1.713000-4 1.535625-9 1.722000-4 1.574691-9 1.730000-4 1.602327-9 1.740000-4 1.626546-9 1.750000-4 1.640645-9 1.761000-4 1.645381-9 1.772000-4 1.641087-9 1.785000-4 1.626762-9 1.800000-4 1.600793-9 1.820000-4 1.556319-9 1.842000-4 1.499467-9 1.927525-4 1.259580-9 1.952700-4 1.192971-9 1.980000-4 1.124697-9 2.010000-4 1.054368-9 2.041738-4 9.90217-10 2.070000-4 9.41706-10 2.100000-4 8.98866-10 2.128000-4 8.66968-10 2.150000-4 8.47452-10 2.170000-4 8.33527-10 2.198000-4 8.19954-10 2.220000-4 8.13943-10 2.240000-4 8.11682-10 2.270000-4 8.13582-10 2.300300-4 8.21544-10 2.330000-4 8.34834-10 2.365000-4 8.56700-10 2.400000-4 8.84444-10 2.440000-4 9.22180-10 2.500000-4 9.89140-10 2.580000-4 1.092887-9 2.660725-4 1.208366-9 2.730000-4 1.313958-9 2.788600-4 1.406975-9 2.788600-4 2.425414-9 3.113000-4 2.967665-9 3.113000-4 3.637058-9 3.320000-4 3.986270-9 3.550000-4 4.344967-9 3.813900-4 4.724253-9 3.813900-4 5.397495-9 4.120975-4 5.803018-9 4.315191-4 6.031980-9 4.500000-4 6.237996-9 4.954502-4 6.687304-9 5.300000-4 6.985068-9 5.688529-4 7.276794-9 6.165950-4 7.594689-9 6.683439-4 7.891769-9 7.244360-4 8.172518-9 7.673615-4 8.365928-9 8.511380-4 8.691353-9 9.549926-4 9.034309-9 1.096478-3 9.418220-9 1.199800-3 9.656128-9 1.199800-3 1.099067-8 1.231600-3 1.101953-8 1.231600-3 1.456234-6 1.261500-3 1.567471-6 1.272000-3 1.599006-6 1.274000-3 1.610298-6 1.303167-3 1.716527-6 1.320000-3 1.765181-6 1.340000-3 1.835618-6 1.370000-3 1.915885-6 1.396368-3 1.957342-6 1.428894-3 1.965832-6 1.541800-3 1.956008-6 1.541800-3 2.021389-6 1.686900-3 2.018935-6 1.686900-3 2.242468-6 1.864600-3 2.266592-6 1.864600-3 2.361751-6 2.137962-3 2.407494-6 2.722701-3 2.485796-6 3.300000-3 2.551054-6 4.168694-3 2.631486-6 5.308844-3 2.714251-6 6.760830-3 2.795438-6 7.242700-3 2.818098-6 7.242700-3 6.883291-4 7.500000-3 6.910428-4 7.947000-3 6.906137-4 7.947000-3 8.904586-4 8.349800-3 8.917854-4 8.349800-3 9.419484-4 1.109175-2 9.525758-4 1.698244-2 9.630365-4 2.722701-2 9.711801-4 4.954502-2 9.788560-4 5.030300-2 9.790147-4 5.030300-2 3.486136-2 6.025596-2 3.514456-2 7.673615-2 3.544258-2 1.109175-1 3.572024-2 1.972423-1 3.594159-2 8.511380-1 3.618951-2 1.000000+5 3.621362-2 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.850000-6 0.0 5.190000-6 3.400000-7 5.190000-6 2.233929-7 5.710000-6 7.397779-7 5.710000-6 4.658959-7 5.956621-6 7.501586-7 6.237348-6 1.067676-6 6.606934-6 1.476971-6 7.079458-6 1.988228-6 7.762471-6 2.709046-6 8.709636-6 3.686520-6 1.083927-5 5.841292-6 1.620000-5 1.120717-5 1.620000-5 1.054322-5 1.703000-5 1.134945-5 1.703000-5 1.087539-5 1.950000-5 1.316796-5 2.137962-5 1.482781-5 2.300000-5 1.617802-5 2.454709-5 1.738331-5 2.600160-5 1.843405-5 2.754229-5 1.946071-5 2.951209-5 2.065207-5 3.018000-5 2.102812-5 3.018000-5 4.530838-6 3.090295-5 5.372421-6 3.198895-5 6.680325-6 3.350000-5 8.555386-6 3.483000-5 1.024445-5 3.483000-5 6.695683-6 3.570000-5 7.727708-6 3.672823-5 8.991246-6 3.801894-5 1.062159-5 3.935501-5 1.235029-5 4.168694-5 1.544640-5 5.069907-5 2.770313-5 5.466000-5 3.291098-5 5.466000-5 3.258432-5 5.920000-5 3.823680-5 6.309573-5 4.285522-5 6.839116-5 4.886684-5 7.500000-5 5.604971-5 8.810489-5 6.973110-5 1.202264-4 1.023009-4 1.563000-4 1.384753-4 1.563000-4 1.363361-4 1.621600-4 1.416209-4 1.621600-4 1.403594-4 1.713000-4 1.485675-4 1.820000-4 1.597922-4 2.041738-4 1.835174-4 2.270000-4 2.065227-4 2.788600-4 2.560591-4 2.788600-4 2.519049-4 3.113000-4 2.824476-4 3.113000-4 2.812978-4 3.813900-4 3.479184-4 3.813900-4 3.455305-4 5.400000-4 4.989808-4 9.225714-4 8.759060-4 1.199800-3 1.150964-3 1.199800-3 1.123128-3 1.231600-3 1.154676-3 1.231600-3 1.149089-3 1.541800-3 1.457037-3 1.541800-3 1.450358-3 1.686900-3 1.594914-3 1.686900-3 1.591728-3 1.864600-3 1.768486-3 1.864600-3 1.765112-3 7.242700-3 7.124704-3 7.242700-3 6.397598-3 7.947000-3 7.099034-3 7.947000-3 6.890144-3 8.349800-3 7.291404-3 8.349800-3 7.233160-3 3.981072-2 3.864501-2 5.030300-2 4.913265-2 5.030300-2 1.525573-2 5.308844-2 1.794512-2 5.821032-2 2.292205-2 7.244360-2 3.687007-2 1.188502-1 8.290108-2 1.927525+0 1.891125+0 1.000000+5 9.999997+4 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 5.030300-2 3.833496+3 5.050000-2 3.791448+3 5.140000-2 3.634975+3 5.248075-2 3.451073+3 5.350000-2 3.277560+3 5.559043-2 2.981875+3 6.095369-2 2.342273+3 6.839116-2 1.739113+3 7.585776-2 1.320737+3 9.332543-2 7.560848+2 1.174898-1 4.026501+2 2.238721-1 6.761139+1 2.691535-1 4.086606+1 3.054921-1 2.905196+1 3.507519-1 2.014816+1 3.981072-1 1.450056+1 4.518559-1 1.051309+1 5.069907-1 7.907864+0 5.688529-1 5.992158+0 6.309573-1 4.699711+0 6.998420-1 3.714661+0 7.852356-1 2.882936+0 8.810489-1 2.254228+0 9.660509-1 1.859750+0 1.071519+0 1.510814+0 1.216186+0 1.180137+0 1.364583+0 9.498304-1 1.548817+0 7.540394-1 1.757924+0 6.032988-1 1.972423+0 4.960250-1 2.238721+0 4.028765-1 2.570396+0 3.235713-1 2.951209+0 2.618525-1 3.427678+0 2.098843-1 4.000000+0 1.683900-1 4.677351+0 1.357113-1 5.559043+0 1.077671-1 6.606934+0 8.623904-2 8.035261+0 6.752668-2 9.885531+0 5.253642-2 1.244515+1 4.008506-2 1.584893+1 3.040881-2 2.041738+1 2.293512-2 2.800000+1 1.626000-2 4.168694+1 1.065265-2 6.095369+1 7.165859-3 1.011579+2 4.256412-3 1.972423+2 2.159300-3 3.935501+2 1.076449-3 1.566751+3 2.691226-4 1.000000+5 4.210600-6 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 5.030300-2 1.847200-4 1.000000+5 1.847200-4 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.030300-2 4.236500-2 1.000000+5 4.236500-2 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.030300-2 7.753280-3 1.000000+5 9.999996+4 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 8.349800-3 1.474346+4 8.480000-3 1.426946+4 8.709636-3 1.367328+4 8.920000-3 1.312162+4 9.225714-3 1.243113+4 1.000000-2 1.077086+4 1.083927-2 9.375171+3 1.150000-2 8.408460+3 1.220000-2 7.516940+3 1.330000-2 6.403960+3 1.698244-2 3.955804+3 1.905461-2 3.120404+3 2.187762-2 2.337085+3 2.600160-2 1.607490+3 2.917427-2 1.244575+3 3.349654-2 9.100512+2 3.935501-2 6.258712+2 4.623810-2 4.266319+2 5.432503-2 2.884049+2 6.456542-2 1.879364+2 7.673615-2 1.214528+2 9.120108-2 7.789985+1 1.122019-1 4.533344+1 1.462177-1 2.249930+1 2.371374-1 6.184749+0 2.917427-1 3.579762+0 3.467369-1 2.285621+0 4.027170-1 1.560948+0 4.570882-1 1.138216+0 5.188000-1 8.362224-1 5.821032-1 6.362104-1 6.456542-1 5.005256-1 7.244360-1 3.867131-1 8.128305-1 3.009530-1 9.332543-1 2.246316-1 1.011579+0 1.904996-1 1.161449+0 1.450327-1 1.303167+0 1.163742-1 1.462177+0 9.407074-2 1.659587+0 7.499845-2 1.883649+0 6.026578-2 2.137962+0 4.881315-2 2.426610+0 3.981712-2 2.786121+0 3.212173-2 3.198895+0 2.610490-2 3.715352+0 2.101208-2 4.365158+0 1.676663-2 5.188000+0 1.327300-2 6.165950+0 1.058822-2 7.498942+0 8.268343-3 9.120108+0 6.505991-3 1.122018+1 5.084545-3 1.428894+1 3.844370-3 1.862087+1 2.854302-3 2.570396+1 2.004823-3 3.589219+1 1.402662-3 5.308844+1 9.296698-4 8.912509+1 5.446591-4 1.757924+2 2.727219-4 3.507519+2 1.358529-4 1.396368+3 3.394972-5 1.000000+5 4.733400-7 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 8.349800-3 2.265600-4 1.000000+5 2.265600-4 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 8.349800-3 1.263900-3 1.000000+5 1.263900-3 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 8.349800-3 6.859340-3 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 7.947000-3 2.916500+4 8.040000-3 2.828700+4 8.070000-3 2.814800+4 8.245900-3 2.677200+4 8.709636-3 2.331500+4 1.011579-2 1.573600+4 1.096478-2 1.266600+4 1.273503-2 8.378800+3 1.540000-2 4.925800+3 1.900000-2 2.686800+3 2.162719-2 1.835200+3 2.511886-2 1.176000+3 3.054921-2 6.506100+2 3.758374-2 3.442000+2 4.623810-2 1.805600+2 5.821032-2 8.746600+1 1.230269-1 8.100673+0 1.603245-1 3.511445+0 1.927525-1 1.977114+0 2.264644-1 1.204523+0 2.630268-1 7.656604-1 3.019952-1 5.077351-1 3.427678-1 3.509566-1 3.845918-1 2.525789-1 4.315191-1 1.830498-1 4.786301-1 1.378982-1 5.308844-1 1.045616-1 5.888437-1 7.982087-2 6.531306-1 6.136527-2 7.244360-1 4.752410-2 8.317638-1 3.414341-2 9.015711-1 2.830971-2 9.660509-1 2.428266-2 1.023293+0 2.150159-2 1.109175+0 1.825647-2 1.216186+0 1.525421-2 1.333521+0 1.284142-2 1.513561+0 1.022553-2 1.737801+0 8.010573-3 1.949845+0 6.578761-3 2.213095+0 5.339382-3 2.540973+0 4.285356-3 2.917427+0 3.465663-3 3.349654+0 2.823094-3 3.890451+0 2.277533-3 4.570882+0 1.821379-3 5.432503+0 1.444863-3 6.382635+0 1.172158-3 7.762471+0 9.165682-4 9.549926+0 7.121866-4 1.188502+1 5.500488-4 1.513561+1 4.166313-4 1.972423+1 3.098886-4 2.722701+1 2.179723-4 4.027170+1 1.436996-4 5.888437+1 9.660249-5 9.772372+1 5.735371-5 1.905461+2 2.908390-5 3.801894+2 1.449648-5 1.513561+3 3.623605-6 1.000000+5 5.476800-8 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 7.947000-3 1.907400-4 1.000000+5 1.907400-4 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 7.947000-3 1.428300-3 1.000000+5 1.428300-3 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 7.947000-3 6.327960-3 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 7.242700-3 6.345985+4 7.380000-3 6.091320+4 7.500000-3 5.855440+4 7.943282-3 5.028887+4 9.332543-3 3.232983+4 1.047129-2 2.332979+4 1.244515-2 1.417381+4 1.400000-2 1.006876+4 1.757924-2 5.091464+3 2.113489-2 2.895288+3 2.400000-2 1.949484+3 2.800000-2 1.199860+3 3.349654-2 6.767309+2 4.027170-2 3.725833+2 4.841724-2 2.036226+2 6.025596-2 9.858850+1 7.852356-2 4.062107+1 1.303167-1 7.387484+0 1.640590-1 3.423526+0 1.927525-1 2.011471+0 2.238721-1 1.236280+0 2.570396-1 7.945102-1 2.917427-1 5.337966-1 3.273407-1 3.745948-1 3.630781-1 2.742264-1 4.027170-1 2.021412-1 4.466836-1 1.501223-1 4.954502-1 1.124090-1 5.432503-1 8.751879-2 6.000000-1 6.731133-2 6.606935-1 5.259342-2 7.244360-1 4.183968-2 7.943282-1 3.351825-2 8.709636-1 2.696122-2 9.332543-1 2.305333-2 9.885531-1 2.034742-2 1.071519+0 1.723108-2 1.174898+0 1.435801-2 1.288250+0 1.205315-2 1.428894+0 9.976584-3 1.698244+0 7.341518-3 1.927525+0 5.905380-3 2.187762+0 4.789350-3 2.511886+0 3.841343-3 2.884032+0 3.104691-3 3.311311+0 2.527582-3 3.845918+0 2.037972-3 4.518559+0 1.628902-3 5.370318+0 1.291512-3 6.309573+0 1.047233-3 7.673615+0 8.185275-4 9.440609+0 6.357321-4 1.174898+1 4.907971-4 1.500000+1 3.705500-4 1.949845+1 2.763140-4 2.722701+1 1.918967-4 4.027170+1 1.265126-4 5.821032+1 8.606784-5 9.660509+1 5.109098-5 1.883649+2 2.590556-5 3.758374+2 1.291172-5 1.496236+3 3.227210-6 1.000000+5 4.821800-8 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 7.242700-3 1.804000-4 1.000000+5 1.804000-4 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 7.242700-3 1.077700-3 1.000000+5 1.077700-3 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 7.242700-3 5.984600-3 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.864600-3 4.335066+4 1.960000-3 4.110680+4 2.264644-3 3.394749+4 2.371374-3 3.176840+4 2.900000-3 2.354580+4 3.198895-3 2.029502+4 3.467369-3 1.782121+4 4.216965-3 1.287749+4 4.731513-3 1.054425+4 5.500000-3 8.076960+3 6.683439-3 5.647244+3 7.762471-3 4.254198+3 8.912509-3 3.257296+3 1.047129-2 2.368674+3 1.244515-2 1.669776+3 1.479108-2 1.167313+3 1.737801-2 8.295890+2 2.041738-2 5.852628+2 2.400000-2 4.093820+2 2.818383-2 2.848838+2 3.311311-2 1.965544+2 3.935501-2 1.309798+2 4.677351-2 8.655819+1 5.495409-2 5.837277+1 6.531306-2 3.798702+1 7.762471-2 2.453533+1 9.332543-2 1.528032+1 1.148154-1 8.898101+0 1.513561-1 4.290353+0 2.344229-1 1.338570+0 2.884032-1 7.757044-1 3.427678-1 4.955474-1 3.981072-1 3.384908-1 4.570882-1 2.399630-1 5.188000-1 1.763571-1 5.821032-1 1.342003-1 6.531306-1 1.028793-1 7.328245-1 7.945881-2 8.317638-1 6.030719-2 9.225714-1 4.846098-2 1.011579+0 4.018195-2 1.161449+0 3.060755-2 1.303167+0 2.455716-2 1.462177+0 1.984233-2 1.640590+0 1.614164-2 1.862087+0 1.296208-2 2.113489+0 1.049059-2 2.398833+0 8.551629-3 2.754229+0 6.894889-3 3.162278+0 5.600305-3 3.672823+0 4.505064-3 4.315191+0 3.592763-3 5.128614+0 2.842681-3 6.095369+0 2.266531-3 7.413102+0 1.769080-3 9.015711+0 1.391361-3 1.109175+1 1.086945-3 1.412538+1 8.215588-4 1.840772+1 6.097383-4 2.540973+1 4.281462-4 3.507519+1 3.031594-4 5.188000+1 2.008351-4 8.709636+1 1.176137-4 1.717908+2 5.887686-5 3.427678+2 2.932336-5 1.364583+3 7.327265-6 1.000000+5 9.983200-8 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.864600-3 1.713900-4 1.000000+5 1.713900-4 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.864600-3 4.517400-6 1.000000+5 4.517400-6 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.864600-3 1.688693-3 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.686900-3 6.983207+4 1.770000-3 6.665132+4 1.927525-3 6.074782+4 2.018366-3 5.745454+4 2.187762-3 5.159780+4 2.400000-3 4.526880+4 2.600160-3 4.020667+4 2.818383-3 3.542011+4 3.019952-3 3.157385+4 3.548134-3 2.378020+4 3.801894-3 2.094716+4 4.265795-3 1.677952+4 4.731513-3 1.366512+4 5.248075-3 1.103099+4 5.888437-3 8.640521+3 6.531306-3 6.880824+3 7.328245-3 5.310239+3 8.317638-3 3.956296+3 9.225714-3 3.091439+3 1.059254-2 2.205783+3 1.216186-2 1.559125+3 1.380384-2 1.125669+3 1.566751-2 8.070721+2 1.778279-2 5.747426+2 2.041738-2 3.939083+2 2.344229-2 2.679522+2 2.691535-2 1.810122+2 3.126079-2 1.174864+2 3.672823-2 7.318024+1 4.315191-2 4.525616+1 5.188000-2 2.592451+1 6.382635-2 1.373708+1 8.222426-2 6.266676+0 1.479108-1 1.004254+0 1.840772-1 5.109210-1 2.065380-1 3.595321-1 2.570396-1 1.863529-1 2.951209-1 1.238816-1 3.349654-1 8.575846-2 3.801894-1 5.979772-2 4.265795-1 4.338995-2 4.786301-1 3.171877-2 5.308844-1 2.409395-2 5.888437-1 1.842834-2 6.531306-1 1.418933-2 7.244360-1 1.100223-2 8.317638-1 7.914545-3 9.015711-1 6.566170-3 9.660509-1 5.634233-3 1.023293+0 4.989966-3 1.122018+0 4.141662-3 1.230269+0 3.463756-3 1.348963+0 2.918224-3 1.584893+0 2.185706-3 1.798871+0 1.751114-3 2.018366+0 1.441121-3 2.290868+0 1.171902-3 2.630268+0 9.423911-4 3.019952+0 7.635418-4 3.507519+0 6.127576-4 4.073803+0 4.954396-4 4.786301+0 3.970572-4 5.688529+0 3.156152-4 6.760830+0 2.528288-4 8.222427+0 1.981435-4 1.011579+1 1.542917-4 1.273503+1 1.178081-4 1.621810+1 8.943852-5 2.113489+1 6.664725-5 2.884032+1 4.754863-5 4.365158+1 3.063260-5 6.531306+1 2.013753-5 1.122018+2 1.155783-5 2.238721+2 5.734338-6 8.912509+2 1.429652-6 1.412538+4 8.999617-8 1.000000+5 1.271000-8 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.686900-3 1.421900-4 1.000000+5 1.421900-4 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.686900-3 5.958400-6 1.000000+5 5.958400-6 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.686900-3 1.538752-3 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.541800-3 1.865098+5 1.610000-3 1.775505+5 1.640590-3 1.731624+5 1.670000-3 1.694728+5 1.800000-3 1.528824+5 1.900000-3 1.410668+5 2.137962-3 1.171294+5 2.350000-3 1.003536+5 2.570396-3 8.596899+4 2.754229-3 7.584797+4 3.235937-3 5.597860+4 3.507519-3 4.777533+4 4.073803-3 3.515203+4 4.466836-3 2.891853+4 5.128614-3 2.135837+4 5.688529-3 1.689623+4 6.456542-3 1.258781+4 7.293000-3 9.403642+3 8.128305-3 7.208224+3 9.225714-3 5.243045+3 1.047129-2 3.783228+3 1.174898-2 2.793429+3 1.333521-2 1.986920+3 1.513561-2 1.403177+3 1.730000-2 9.646600+2 1.972423-2 6.629701+2 2.264644-2 4.431782+2 2.600160-2 2.940684+2 3.000000-2 1.908968+2 3.500000-2 1.188636+2 4.073803-2 7.400770+1 4.841724-2 4.281691+1 5.754399-2 2.458460+1 7.079458-2 1.252597+1 9.332543-2 5.051293+0 1.479108-1 1.101486+0 1.798871-1 5.801973-1 2.162719-1 3.197875-1 2.483133-1 2.059546-1 2.818383-1 1.385450-1 3.162278-1 9.726751-2 3.548134-1 6.878697-2 3.935501-1 5.071324-2 4.365158-1 3.767560-2 4.841724-1 2.819878-2 5.370318-1 2.125939-2 5.888437-1 1.664825-2 6.456542-1 1.313156-2 7.079458-1 1.043187-2 7.762471-1 8.345396-3 8.609938-1 6.528471-3 9.225714-1 5.576349-3 9.885531-1 4.797481-3 1.071519+0 4.062746-3 1.174898+0 3.385273-3 1.288250+0 2.841795-3 1.428894+0 2.352219-3 1.698244+0 1.730888-3 1.927525+0 1.392312-3 2.187762+0 1.129283-3 2.511886+0 9.057691-4 2.884032+0 7.320459-4 3.311311+0 5.959620-4 3.845918+0 4.805188-4 4.518559+0 3.840697-4 5.370318+0 3.045208-4 6.382635+0 2.433149-4 7.762471+0 1.902584-4 9.549926+0 1.478404-4 1.188502+1 1.141823-4 1.513561+1 8.648401-5 1.972423+1 6.432648-5 2.722701+1 4.524630-5 4.027170+1 2.982907-5 5.821032+1 2.029343-5 9.660509+1 1.204682-5 1.883649+2 6.108040-6 3.758374+2 3.044288-6 1.496236+3 7.609121-7 1.000000+5 1.136900-8 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.541800-3 1.332400-4 1.000000+5 1.332400-4 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.541800-3 2.454600-6 1.000000+5 2.454600-6 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.541800-3 1.406105-3 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.231600-3 4.174585+5 1.261500-3 4.461223+5 1.272000-3 4.532973+5 1.274000-3 4.567201+5 1.303167-3 4.840687+5 1.318257-3 4.939151+5 1.340000-3 5.067899+5 1.364583-3 5.118438+5 1.370000-3 5.122726+5 1.396368-3 5.057123+5 1.428894-3 4.823213+5 1.621810-3 3.539630+5 1.778279-3 2.802439+5 1.927525-3 2.270453+5 2.113489-3 1.772821+5 2.350000-3 1.322568+5 2.630268-3 9.614660+4 2.917427-3 7.099181+4 3.300000-3 4.923760+4 3.715352-3 3.427927+4 4.168694-3 2.398728+4 4.800000-3 1.532260+4 5.308844-3 1.106182+4 6.095369-3 7.015867+3 6.918310-3 4.582302+3 7.762471-3 3.091995+3 8.912509-3 1.913203+3 1.023293-2 1.173995+3 1.174898-2 7.147174+2 1.350000-2 4.306080+2 1.548817-2 2.589769+2 1.800000-2 1.473048+2 2.089296-2 8.351626+1 2.426610-2 4.689916+1 2.851018-2 2.501907+1 3.427678-2 1.210468+1 4.216965-2 5.306450+0 5.559043-2 1.751205+0 9.015711-2 2.502948-1 1.109175-1 1.093918-1 1.318257-1 5.525800-2 1.566751-1 2.813382-2 1.798871-1 1.650733-2 2.065380-1 9.756827-3 2.344229-1 6.068874-3 2.630268-1 3.968163-3 2.951209-1 2.613040-3 3.311311-1 1.732946-3 3.672823-1 1.206558-3 4.027170-1 8.806214-4 4.415705-1 6.477339-4 4.841724-1 4.796255-4 5.370318-1 3.446786-4 5.888437-1 2.587323-4 6.531306-1 1.887579-4 7.161434-1 1.436562-4 8.609938-1 8.459361-5 9.120108-1 7.220964-5 9.549926-1 6.401262-5 1.000000+0 5.712197-5 1.047129+0 5.135783-5 1.096478+0 4.650454-5 1.148154+0 4.236523-5 1.216186+0 3.796593-5 1.318257+0 3.282370-5 1.513561+0 2.590275-5 1.819701+0 1.875084-5 2.018366+0 1.572590-5 2.290868+0 1.278636-5 2.630268+0 1.028259-5 3.019952+0 8.332071-6 3.507519+0 6.686702-6 4.073803+0 5.406475-6 4.786301+0 4.332849-6 5.688529+0 3.444143-6 6.760830+0 2.758886-6 8.222427+0 2.162254-6 1.011579+1 1.683675-6 1.273503+1 1.285603-6 1.603245+1 9.887220-7 2.065380+1 7.459266-7 2.818383+1 5.318390-7 4.216965+1 3.466481-7 6.237348+1 2.304712-7 1.047129+2 1.353383-7 2.065380+2 6.788610-8 8.222427+2 1.691432-8 1.303167+4 1.064498-9 1.000000+5 1.38690-10 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.231600-3 9.410900-5 1.000000+5 9.410900-5 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.231600-3 6.011700-6 1.000000+5 6.011700-6 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.231600-3 1.131479-3 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.199800-3 9.401876+5 1.320000-3 8.474396+5 1.333521-3 8.293873+5 1.570000-3 5.537832+5 1.717908-3 4.400520+5 1.862087-3 3.560169+5 2.041738-3 2.776303+5 2.264644-3 2.081448+5 2.540973-3 1.500904+5 2.754229-3 1.185010+5 3.198895-3 7.577404+4 3.548134-3 5.512824+4 4.000000-3 3.792810+4 4.518559-3 2.570644+4 5.011872-3 1.836928+4 5.754399-3 1.163022+4 6.456542-3 7.885832+3 7.244360-3 5.314608+3 8.317638-3 3.281730+3 9.549926-3 2.008807+3 1.083927-2 1.271471+3 1.216186-2 8.340412+2 1.364583-2 5.441868+2 1.548817-2 3.380836+2 1.778279-2 1.996832+2 2.018366-2 1.224557+2 2.317395-2 7.137027+1 2.722701-2 3.772654+1 3.198895-2 1.979392+1 3.845918-2 9.399818+0 4.786301-2 3.849634+0 9.015711-2 2.846072-1 1.122019-1 1.164831-1 1.318257-1 6.072925-2 1.513561-1 3.498351-2 1.717908-1 2.124150-2 1.927525-1 1.358466-2 2.162719-1 8.748851-3 2.398833-1 5.928080-3 2.660725-1 4.045913-3 2.917427-1 2.900310-3 3.198895-1 2.093258-3 3.507519-1 1.521660-3 3.845918-1 1.114414-3 4.168694-1 8.540272-4 4.570882-1 6.348089-4 5.000000-1 4.791664-4 5.432503-1 3.719848-4 5.888437-1 2.927728-4 6.456542-1 2.242370-4 6.918310-1 1.847359-4 7.444800-1 1.514591-4 8.035261-1 1.242627-4 8.609938-1 1.044217-4 9.120108-1 9.081531-5 9.660509-1 7.947282-5 1.023293+0 7.006545-5 1.096478+0 6.072132-5 1.174898+0 5.298122-5 1.288250+0 4.454224-5 1.428894+0 3.694569-5 1.757924+0 2.563532-5 1.972423+0 2.106316-5 2.238721+0 1.710724-5 2.570396+0 1.374003-5 2.951209+0 1.111957-5 3.427678+0 8.912806-6 4.000000+0 7.150700-6 4.677351+0 5.762848-6 5.559043+0 4.576228-6 6.606934+0 3.662069-6 8.035261+0 2.867446-6 1.000000+1 2.200500-6 1.258925+1 1.679637-6 1.603245+1 1.274688-6 2.065380+1 9.616479-7 2.818383+1 6.856547-7 4.216965+1 4.468956-7 6.165950+1 3.006908-7 1.023293+2 1.786360-7 2.018366+2 8.958180-8 8.035261+2 2.231535-8 1.273503+4 1.404362-9 1.000000+5 1.78800-10 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.199800-3 8.918200-5 1.000000+5 8.918200-5 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.199800-3 1.159100-8 1.000000+5 1.159100-8 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.199800-3 1.110606-3 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 3.813900-4 1.025865+5 4.240000-4 9.596620+4 5.069907-4 8.273578+4 5.500000-4 7.682600+4 6.025596-4 6.970342+4 6.850000-4 6.049500+4 7.413102-4 5.504897+4 8.511380-4 4.615336+4 9.440609-4 4.021160+4 1.071519-3 3.365087+4 1.216186-3 2.798380+4 1.428894-3 2.189441+4 1.621810-3 1.792934+4 1.883649-3 1.405985+4 2.238721-3 1.052713+4 2.691535-3 7.658800+3 3.235937-3 5.524376+3 3.890451-3 3.953366+3 4.677351-3 2.809006+3 5.688529-3 1.939266+3 6.918310-3 1.328590+3 8.317638-3 9.239102+2 1.000000-2 6.376620+2 1.202264-2 4.366030+2 1.428894-2 3.038730+2 1.698244-2 2.099871+2 2.018366-2 1.440531+2 2.398833-2 9.808526+1 2.851018-2 6.627417+1 3.349654-2 4.563199+1 3.981072-2 3.035636+1 4.731513-2 2.003790+1 5.559043-2 1.350127+1 6.683439-2 8.529877+0 8.035261-2 5.347722+0 9.772372-2 3.226960+0 1.230269-1 1.766855+0 1.566751-1 9.323235-1 2.371374-1 3.094646-1 2.917427-1 1.794438-1 3.467369-1 1.147166-1 4.027170-1 7.842219-2 4.623810-1 5.564301-2 5.248075-1 4.092812-2 5.888437-1 3.116916-2 6.606935-1 2.391378-2 7.413102-1 1.848367-2 8.413951-1 1.403934-2 9.332543-1 1.129167-2 1.023293+0 9.370768-3 1.174898+0 7.142263-3 1.318257+0 5.734552-3 1.479108+0 4.636634-3 1.659587+0 3.774317-3 1.883649+0 3.033055-3 2.137962+0 2.456654-3 2.426610+0 2.003880-3 2.786121+0 1.616595-3 3.198895+0 1.313784-3 3.715352+0 1.057468-3 4.365158+0 8.437997-4 5.188000+0 6.679901-4 6.165950+0 5.328938-4 7.498942+0 4.161240-4 9.120108+0 3.274298-4 1.122018+1 2.558876-4 1.428894+1 1.934780-4 1.862087+1 1.436467-4 2.570396+1 1.008958-4 3.630781+1 6.973812-5 5.370318+1 4.623140-5 9.015711+1 2.709013-5 1.757924+2 1.372533-5 3.507519+2 6.837207-6 1.396368+3 1.708613-6 1.000000+5 2.382200-8 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 3.813900-4 9.063600-5 1.000000+5 9.063600-5 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.813900-4 2.084700-8 1.000000+5 2.084700-8 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.813900-4 2.907332-4 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 3.113000-4 8.247202+4 4.168694-4 7.931151+4 4.466836-4 7.793660+4 4.897788-4 7.557353+4 5.300000-4 7.301240+4 5.688529-4 7.031501+4 6.095369-4 6.726348+4 6.606934-4 6.336412+4 7.161434-4 5.931421+4 7.673615-4 5.570984+4 8.317638-4 5.141689+4 9.120108-4 4.660185+4 9.885531-4 4.248720+4 1.096478-3 3.740882+4 1.202264-3 3.319636+4 1.333521-3 2.878485+4 1.479108-3 2.478753+4 1.650000-3 2.100160+4 1.840772-3 1.766586+4 2.070000-3 1.455516+4 2.317395-3 1.199411+4 2.600160-3 9.776421+3 2.917427-3 7.913143+3 3.300000-3 6.264680+3 3.715352-3 4.968969+3 4.216965-3 3.850702+3 4.800000-3 2.944360+3 5.432503-3 2.261559+3 6.165950-3 1.713963+3 7.000000-3 1.288604+3 7.852356-3 9.888387+2 8.912509-3 7.333735+2 1.023293-2 5.248291+2 1.161449-2 3.832736+2 1.318257-2 2.779149+2 1.513561-2 1.941993+2 1.737801-2 1.346674+2 2.000000-2 9.208944+1 2.317395-2 6.133100+1 2.691535-2 4.025659+1 3.126079-2 2.622086+1 3.672823-2 1.638933+1 4.365158-2 9.825707+0 5.188000-2 5.847114+0 6.382635-2 3.108992+0 8.317638-2 1.374497+0 1.513561-1 2.143638-1 1.883649-1 1.094490-1 2.264644-1 6.258047-2 2.630268-1 4.000534-2 3.019952-1 2.664945-2 3.427678-1 1.848607-2 3.890451-1 1.291758-2 4.365158-1 9.392812-3 4.897788-1 6.879975-3 5.495409-1 5.078621-3 6.095369-1 3.891728-3 6.760830-1 3.003367-3 7.498942-1 2.334704-3 8.609938-1 1.683445-3 9.225714-1 1.438034-3 9.885531-1 1.237133-3 1.071519+0 1.047656-3 1.174898+0 8.729512-4 1.288250+0 7.328322-4 1.428894+0 6.066508-4 1.698244+0 4.464806-4 1.927525+0 3.591361-4 2.187762+0 2.912435-4 2.511886+0 2.335948-4 2.884032+0 1.888082-4 3.311311+0 1.537153-4 3.845918+0 1.239399-4 4.518559+0 9.906066-5 5.370318+0 7.854223-5 6.382635+0 6.275638-5 7.762471+0 4.907309-5 9.549926+0 3.813077-5 1.188502+1 2.944921-5 1.513561+1 2.230646-5 1.972423+1 1.659111-5 2.722701+1 1.167026-5 3.981072+1 7.787566-6 5.754399+1 5.296938-6 9.549926+1 3.143844-6 1.883649+2 1.575362-6 3.758374+2 7.851808-7 1.496236+3 1.962532-7 1.000000+5 2.932300-9 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 3.113000-4 6.895200-5 1.000000+5 6.895200-5 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.113000-4 2.632800-8 1.000000+5 2.632800-8 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.113000-4 2.423217-4 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 2.788600-4 2.986088+5 3.200000-4 2.870520+5 3.388442-4 2.804289+5 3.600000-4 2.723284+5 3.935501-4 2.592485+5 4.315191-4 2.442120+5 4.623810-4 2.323761+5 5.011872-4 2.179353+5 5.400000-4 2.039628+5 5.888437-4 1.873992+5 6.500000-4 1.689204+5 7.079458-4 1.532919+5 7.852356-4 1.351247+5 8.609938-4 1.200604+5 9.549926-4 1.042736+5 1.059254-3 8.997149+4 1.188502-3 7.572337+4 1.318257-3 6.442162+4 1.496236-3 5.241663+4 1.659587-3 4.398633+4 1.883649-3 3.523060+4 2.150000-3 2.769028+4 2.426610-3 2.204115+4 2.722701-3 1.762634+4 3.090295-3 1.368466+4 3.507519-3 1.054480+4 4.027170-3 7.868574+3 4.623810-3 5.820714+3 5.248075-3 4.382153+3 5.956621-3 3.275446+3 6.683439-3 2.498014+3 7.500000-3 1.892692+3 8.511380-3 1.385958+3 9.660509-3 1.006753+3 1.096478-2 7.259744+2 1.244515-2 5.196708+2 1.412538-2 3.693555+2 1.603245-2 2.607156+2 1.840772-2 1.769358+2 2.113489-2 1.191456+2 2.426610-2 7.962587+1 2.786121-2 5.283016+1 3.198895-2 3.480591+1 3.715352-2 2.198237+1 4.365158-2 1.329531+1 5.188000-2 7.694064+0 6.237348-2 4.258305+0 7.673615-2 2.170925+0 1.023293-1 8.434489-1 1.548817-1 2.152728-1 1.883649-1 1.137242-1 2.213095-1 6.769001-2 2.540973-1 4.368433-2 2.884032-1 2.944477-2 3.235937-1 2.071011-2 3.630781-1 1.467401-2 4.027170-1 1.083811-2 4.466836-1 8.065643-3 4.954502-1 6.048589-3 5.432503-1 4.715298-3 6.000000-1 3.630852-3 6.606935-1 2.838838-3 7.244360-1 2.259461-3 7.943282-1 1.810801-3 8.709636-1 1.457276-3 9.332543-1 1.246480-3 9.885531-1 1.100454-3 1.071519+0 9.321442-4 1.174898+0 7.767364-4 1.288250+0 6.519858-4 1.428894+0 5.396115-4 1.698244+0 3.970645-4 1.927525+0 3.193943-4 2.187762+0 2.590331-4 2.511886+0 2.077633-4 2.884032+0 1.679253-4 3.311311+0 1.367138-4 3.845918+0 1.102323-4 4.518559+0 8.810299-5 5.370318+0 6.985331-5 6.382635+0 5.581418-5 7.762471+0 4.364396-5 9.549926+0 3.391193-5 1.188502+1 2.619183-5 1.513561+1 1.983872-5 1.972423+1 1.475622-5 2.722701+1 1.037897-5 4.027170+1 6.842438-6 5.821032+1 4.655134-6 9.660509+1 2.763332-6 1.905461+2 1.384886-6 3.801894+2 6.902854-7 1.513561+3 1.725483-7 1.000000+5 2.607900-9 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 2.788600-4 6.581400-5 1.000000+5 6.581400-5 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.788600-4 1.195500-8 1.000000+5 1.195500-8 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.788600-4 2.130340-4 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.621600-4 3.182764+5 1.627000-4 3.187312+5 1.632000-4 3.206304+5 1.639000-4 3.253648+5 1.647000-4 3.335184+5 1.655000-4 3.440904+5 1.665000-4 3.601412+5 1.685000-4 3.967336+5 1.695000-4 4.145280+5 1.705000-4 4.303600+5 1.713000-4 4.409240+5 1.722000-4 4.502000+5 1.730000-4 4.559600+5 1.740000-4 4.598560+5 1.750000-4 4.604240+5 1.761000-4 4.576640+5 1.772000-4 4.520640+5 1.785000-4 4.426800+5 1.800000-4 4.292920+5 1.820000-4 4.089640+5 1.842000-4 3.852540+5 1.865000-4 3.603260+5 1.900000-4 3.238184+5 2.010000-4 2.305100+5 2.041738-4 2.107861+5 2.070000-4 1.959464+5 2.100000-4 1.828380+5 2.128000-4 1.728644+5 2.150000-4 1.664252+5 2.170000-4 1.615456+5 2.198000-4 1.561268+5 2.220000-4 1.529204+5 2.240000-4 1.507256+5 2.270000-4 1.485932+5 2.300000-4 1.476668+5 2.330000-4 1.477892+5 2.365000-4 1.490572+5 2.400000-4 1.513656+5 2.440000-4 1.550440+5 2.500000-4 1.621240+5 2.580000-4 1.734668+5 2.786121-4 2.063597+5 2.900000-4 2.243720+5 3.000000-4 2.392732+5 3.100000-4 2.528440+5 3.200000-4 2.649352+5 3.311311-4 2.765673+5 3.430000-4 2.868801+5 3.550000-4 2.953340+5 3.672823-4 3.021767+5 3.801894-4 3.075699+5 3.935501-4 3.113453+5 4.100000-4 3.136984+5 4.280000-4 3.138408+5 4.500000-4 3.114304+5 4.731513-4 3.066531+5 4.954502-4 3.003393+5 5.230000-4 2.908200+5 5.500000-4 2.803032+5 5.821032-4 2.671136+5 6.165950-4 2.526769+5 6.531306-4 2.373958+5 6.998420-4 2.184968+5 7.500000-4 1.995588+5 8.035261-4 1.809597+5 8.609938-4 1.629258+5 9.225714-4 1.457871+5 9.885531-4 1.296377+5 1.071519-3 1.122313+5 1.161449-3 9.645688+4 1.258925-3 8.231088+4 1.364583-3 6.978410+4 1.479108-3 5.877869+4 1.621810-3 4.796760+4 1.778279-3 3.884454+4 1.927525-3 3.211123+4 2.137962-3 2.495248+4 2.371374-3 1.922841+4 2.630268-3 1.470099+4 2.884032-3 1.150732+4 3.162278-3 8.957488+3 3.507519-3 6.712141+3 3.900000-3 4.959640+3 4.315191-3 3.691775+3 4.786301-3 2.710633+3 5.308844-3 1.977646+3 5.888437-3 1.433370+3 6.606934-3 9.949520+2 7.413102-3 6.854716+2 8.317638-3 4.687167+2 9.332543-3 3.181557+2 1.047129-2 2.145137+2 1.188502-2 1.379621+2 1.348963-2 8.804861+1 1.531087-2 5.578917+1 1.757924-2 3.365369+1 2.018366-2 2.014663+1 2.344229-2 1.146206+1 2.722701-2 6.471629+0 3.198895-2 3.469962+0 3.845918-2 1.687820+0 4.731513-2 7.440186-1 6.531306-2 2.059071-1 9.549926-2 4.520287-2 1.188502-1 1.900354-2 1.412538-1 9.654255-3 1.640590-1 5.404288-3 1.883649-1 3.184700-3 2.162719-1 1.890856-3 2.454709-1 1.181314-3 2.754229-1 7.756200-4 3.090295-1 5.128737-4 3.427678-1 3.557565-4 3.801894-1 2.485597-4 4.168694-1 1.819741-4 4.570882-1 1.341307-4 5.069907-1 9.589301-5 5.559043-1 7.163632-5 6.095369-1 5.387170-5 6.683439-1 4.078103-5 7.328245-1 3.110665-5 8.511380-1 2.028899-5 9.015711-1 1.732025-5 9.440609-1 1.534941-5 9.885531-1 1.368723-5 1.035142+0 1.229227-5 1.083927+0 1.111726-5 1.135011+0 1.011549-5 1.202264+0 9.052117-6 1.318257+0 7.657322-6 1.531087+0 5.916151-6 1.819701+0 4.370065-6 2.018366+0 3.665672-6 2.290868+0 2.980929-6 2.630268+0 2.397154-6 3.019952+0 1.942222-6 3.507519+0 1.558665-6 4.073803+0 1.260237-6 4.786301+0 1.009982-6 5.688529+0 8.028313-7 6.760830+0 6.431028-7 8.222427+0 5.040181-7 1.011579+1 3.924567-7 1.273503+1 2.996711-7 1.621810+1 2.275058-7 2.113489+1 1.695254-7 2.884032+1 1.209488-7 4.265795+1 7.982907-8 6.309573+1 5.308594-8 1.059254+2 3.117900-8 2.089296+2 1.564060-8 8.317638+2 3.897315-9 1.318257+4 2.45293-10 1.000000+5 3.23290-11 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.621600-4 4.224600-5 1.000000+5 4.224600-5 1 64000 7 7 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.621600-4 1.901500-8 1.000000+5 1.901500-8 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.621600-4 1.198950-4 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.563000-4 4.588950+5 1.570000-4 4.641126+5 1.577000-4 4.728570+5 1.584893-4 4.860557+5 1.594000-4 5.054250+5 1.605000-4 5.332128+5 1.623000-4 5.838468+5 1.635000-4 6.162300+5 1.643000-4 6.353040+5 1.650000-4 6.496440+5 1.659587-4 6.650917+5 1.669000-4 6.751860+5 1.678804-4 6.803706+5 1.688000-4 6.806460+5 1.698244-4 6.764036+5 1.710000-4 6.666960+5 1.722000-4 6.527460+5 1.737801-4 6.301731+5 1.755000-4 6.024480+5 1.778279-4 5.628919+5 1.810000-4 5.094258+5 1.851100-4 4.451808+5 1.927525-4 3.475022+5 1.952700-4 3.221243+5 1.980000-4 2.983878+5 2.000000-4 2.834052+5 2.020000-4 2.703528+5 2.041738-4 2.582245+5 2.065380-4 2.472905+5 2.090000-4 2.381886+5 2.113489-4 2.314705+5 2.137962-4 2.263053+5 2.162719-4 2.227932+5 2.190000-4 2.206884+5 2.213095-4 2.201828+5 2.240000-4 2.209368+5 2.270000-4 2.231586+5 2.300300-4 2.267296+5 2.340000-4 2.330730+5 2.380400-4 2.410688+5 2.450000-4 2.573832+5 2.630268-4 3.059790+5 2.730000-4 3.331176+5 2.830000-4 3.590856+5 2.917427-4 3.802437+5 3.000000-4 3.985596+5 3.100000-4 4.182936+5 3.200000-4 4.353210+5 3.320000-4 4.522308+5 3.430000-4 4.646850+5 3.550000-4 4.753644+5 3.700000-4 4.849500+5 3.850000-4 4.907670+5 4.000000-4 4.932150+5 4.168694-4 4.925694+5 4.365158-4 4.883210+5 4.600000-4 4.797162+5 4.850000-4 4.674672+5 5.080000-4 4.539720+5 5.370318-4 4.352665+5 5.688529-4 4.137597+5 6.025596-4 3.905759+5 6.382635-4 3.662607+5 6.839116-4 3.365478+5 7.328245-4 3.068407+5 7.852356-4 2.776501+5 8.413951-4 2.496441+5 9.015711-4 2.229915+5 9.772372-4 1.939919+5 1.047129-3 1.711455+5 1.135011-3 1.468045+5 1.230269-3 1.251159+5 1.350000-3 1.031568+5 1.462177-3 8.684334+4 1.621810-3 6.883190+4 1.757924-3 5.706048+4 1.927525-3 4.577185+4 2.162719-3 3.440920+4 2.426610-3 2.560637+4 2.691535-3 1.946646+4 2.951209-3 1.516122+4 3.235937-3 1.174228+4 3.589219-3 8.749591+3 3.981072-3 6.474515+3 4.415704-3 4.758660+3 4.897788-3 3.474468+3 5.495409-3 2.430272+3 6.095369-3 1.750109+3 6.839116-3 1.205932+3 7.673615-3 8.247159+2 8.511380-3 5.819206+2 9.660509-3 3.769602+2 1.083927-2 2.521785+2 1.216186-2 1.675407+2 1.380384-2 1.060473+2 1.566751-2 6.662673+1 1.778279-2 4.156722+1 2.041738-2 2.465450+1 2.344229-2 1.451226+1 2.722701-2 8.109344+0 3.162278-2 4.497403+0 3.758374-2 2.259250+0 4.570882-2 1.026609+0 5.688529-2 4.217714-1 9.225714-2 5.828154-2 1.135011-1 2.512305-2 1.333521-1 1.314725-2 1.548817-1 7.259593-3 1.757924-1 4.422203-3 1.972423-1 2.836418-3 2.213095-1 1.832324-3 2.454709-1 1.244892-3 2.722701-1 8.516882-4 3.000000-1 6.010882-4 3.273407-1 4.421330-4 3.589219-1 3.219637-4 3.890451-1 2.455559-4 4.168694-1 1.958163-4 4.518559-1 1.513627-4 4.897788-1 1.177496-4 5.370318-1 8.902694-5 5.821032-1 7.016595-5 6.382635-1 5.383770-5 6.918310-1 4.298735-5 7.498942-1 3.456210-5 8.413951-1 2.557380-5 8.912509-1 2.212344-5 9.440609-1 1.926274-5 1.000000+0 1.690000-5 1.059254+0 1.494287-5 1.135011+0 1.298779-5 1.216186+0 1.136548-5 1.333521+0 9.587851-6 1.698244+0 6.250522-6 1.927525+0 5.025817-6 2.187762+0 4.075606-6 2.511886+0 3.268884-6 2.884032+0 2.642084-6 3.311311+0 2.150985-6 3.845918+0 1.734329-6 4.518559+0 1.386231-6 5.370318+0 1.099107-6 6.309573+0 8.912023-7 7.673615+0 6.965696-7 9.440609+0 5.410035-7 1.174898+1 4.176686-7 1.500000+1 3.153400-7 1.949845+1 2.351369-7 2.722701+1 1.633081-7 3.981072+1 1.089739-7 5.754399+1 7.412351-8 9.549926+1 4.399378-8 1.883649+2 2.204569-8 3.758374+2 1.098693-8 1.496236+3 2.746302-9 1.000000+5 4.10330-11 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.563000-4 4.202600-5 1.000000+5 4.202600-5 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.563000-4 1.142740-4 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 1.703000-5 2.787636+5 1.949845-5 2.626354+5 2.041738-5 2.591975+5 2.113489-5 2.581768+5 2.190000-5 2.589156+5 2.264644-5 2.614921+5 2.344229-5 2.662698+5 2.426610-5 2.734697+5 2.500000-5 2.818692+5 2.580000-5 2.931867+5 2.660725-5 3.069167+5 2.754229-5 3.257378+5 2.851018-5 3.484696+5 2.951209-5 3.754125+5 3.080000-5 4.149870+5 3.235937-5 4.697238+5 3.730000-5 6.808560+5 3.935501-5 7.784084+5 4.120975-5 8.679689+5 4.315191-5 9.612740+5 4.518559-5 1.056961+6 4.731513-5 1.154691+6 4.954502-5 1.254087+6 5.188000-5 1.354198+6 5.500000-5 1.481985+6 5.821032-5 1.606525+6 6.165950-5 1.731872+6 6.531306-5 1.853309+6 6.839116-5 1.944605+6 7.161434-5 2.027979+6 7.500000-5 2.101548+6 7.852356-5 2.163152+6 8.222426-5 2.212358+6 8.650000-5 2.251788+6 9.120108-5 2.278150+6 9.660509-5 2.292333+6 1.023293-4 2.292595+6 1.096478-4 2.275990+6 1.161449-4 2.248212+6 1.230269-4 2.205752+6 1.303167-4 2.149863+6 1.380384-4 2.081961+6 1.480000-4 1.986264+6 1.584893-4 1.883566+6 1.698244-4 1.771496+6 1.800000-4 1.672755+6 1.905461-4 1.570950+6 2.040000-4 1.446555+6 2.187762-4 1.317549+6 2.344229-4 1.193253+6 2.511886-4 1.071894+6 2.660725-4 9.744996+5 2.851018-4 8.623184+5 3.019952-4 7.743098+5 3.273407-4 6.607352+5 3.507519-4 5.720699+5 3.715352-4 5.046759+5 4.027170-4 4.201135+5 4.365158-4 3.468340+5 4.700000-4 2.887977+5 5.050000-4 2.402160+5 5.495409-4 1.920161+5 6.000000-4 1.510092+5 6.531306-4 1.188596+5 7.161434-4 9.095603+4 7.852356-4 6.907521+4 8.609938-4 5.208876+4 9.440609-4 3.901659+4 1.047129-3 2.797287+4 1.161449-3 1.989982+4 1.288250-3 1.405143+4 1.428894-3 9.851198+3 1.603245-3 6.587663+3 1.778279-3 4.554675+3 1.995262-3 2.999567+3 2.238721-3 1.960021+3 2.511886-3 1.270952+3 2.818383-3 8.179695+2 3.162278-3 5.225929+2 3.548134-3 3.314958+2 4.000000-3 2.048361+2 4.518559-3 1.246137+2 5.069907-3 7.736216+1 5.688529-3 4.767774+1 6.382635-3 2.916926+1 7.161434-3 1.771763+1 8.000000-3 1.089327+1 9.120108-3 6.067089+0 1.109175-2 2.504734+0 1.303167-2 1.199335+0 1.531087-2 5.697666-1 1.778279-2 2.834838-1 2.041738-2 1.478426-1 2.371374-2 7.242100-2 2.818383-2 3.154160-2 3.548134-2 1.032190-2 6.839116-2 4.203728-4 8.317638-2 1.628321-4 9.772372-2 7.505400-5 1.135011-1 3.680721-5 1.288250-1 2.027514-5 1.462177-1 1.124985-5 1.640590-1 6.634808-6 1.840772-1 3.942468-6 2.041738-1 2.484749-6 2.264644-1 1.576987-6 2.511886-1 1.007972-6 2.818383-1 6.179293-7 3.090295-1 4.203156-7 3.388442-1 2.879816-7 3.672823-1 2.082539-7 3.935501-1 1.588896-7 4.265795-1 1.166526-7 4.677351-1 8.255721-8 5.188000-1 5.642919-8 5.688529-1 4.051424-8 6.456542-1 2.590324-8 6.918310-1 2.041217-8 7.413102-1 1.619655-8 7.852356-1 1.344665-8 8.609938-1 1.004413-8 9.015711-1 8.729765-9 9.332543-1 7.893006-9 9.660509-1 7.170864-9 1.000000+0 6.552200-9 1.035142+0 6.024720-9 1.071519+0 5.567649-9 1.122018+0 5.046526-9 1.174898+0 4.605292-9 1.244515+0 4.139132-9 1.333521+0 3.666945-9 1.513561+0 2.971632-9 1.862087+0 2.067727-9 2.044000+0 1.766500-9 2.317395+0 1.439946-9 2.660725+0 1.158712-9 3.054921+0 9.39431-10 3.548134+0 7.54367-10 4.120975+0 6.10266-10 4.841724+0 4.89338-10 5.754399+0 3.89171-10 6.839116+0 3.11900-10 8.317638+0 2.44556-10 1.023293+1 1.90501-10 1.288250+1 1.45516-10 1.640590+1 1.10511-10 2.137962+1 8.23756-11 2.884032+1 5.95169-11 4.315191+1 3.88097-11 6.456542+1 2.55080-11 1.096478+2 1.48110-11 2.187762+2 7.34664-12 8.709636+2 1.83128-12 1.380384+4 1.15274-13 1.000000+5 1.59090-14 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 1.703000-5 1.703000-5 1.000000+5 1.703000-5 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.703000-5 0.0 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 1.620000-5 4.049720+5 1.800000-5 3.783968+5 1.883649-5 3.695505+5 1.950000-5 3.649924+5 2.018366-5 3.625739+5 2.090000-5 3.625980+5 2.162719-5 3.653341+5 2.238721-5 3.711299+5 2.300000-5 3.779720+5 2.371374-5 3.883814+5 2.450000-5 4.028760+5 2.511886-5 4.165060+5 2.580000-5 4.337600+5 2.660725-5 4.572538+5 2.754229-5 4.885306+5 2.851018-5 5.253831+5 2.951209-5 5.681472+5 3.090295-5 6.347780+5 3.630781-5 9.545339+5 3.850000-5 1.099640+6 4.027170-5 1.218303+6 4.220000-5 1.346460+6 4.415704-5 1.473607+6 4.650000-5 1.620620+6 4.900000-5 1.771416+6 5.188000-5 1.936397+6 5.500000-5 2.106384+6 5.821032-5 2.270907+6 6.165950-5 2.434152+6 6.531306-5 2.590581+6 6.839116-5 2.707037+6 7.161434-5 2.811423+6 7.500000-5 2.901236+6 7.900000-5 2.983244+6 8.317638-5 3.043566+6 8.800000-5 3.085352+6 9.332543-5 3.106406+6 9.900000-5 3.108524+6 1.060000-4 3.087308+6 1.135011-4 3.043367+6 1.202264-4 2.986420+6 1.273503-4 2.910687+6 1.350000-4 2.818436+6 1.430000-4 2.712504+6 1.540000-4 2.563580+6 1.650000-4 2.413328+6 1.765600-4 2.259134+6 1.862087-4 2.131606+6 2.000000-4 1.956544+6 2.122300-4 1.809018+6 2.290868-4 1.623268+6 2.454709-4 1.459538+6 2.600160-4 1.328501+6 2.800000-4 1.166476+6 2.951209-4 1.057896+6 3.200000-4 9.032120+5 3.467369-4 7.646386+5 3.672823-4 6.744153+5 3.935501-4 5.767152+5 4.315191-4 4.635768+5 4.730000-4 3.689976+5 5.128614-4 2.991135+5 5.559043-4 2.410959+5 6.025596-4 1.930739+5 6.531306-4 1.535944+5 7.161434-4 1.173905+5 7.852356-4 8.906122+4 8.609938-4 6.709545+4 9.440609-4 5.019810+4 1.047129-3 3.593530+4 1.161449-3 2.552925+4 1.288250-3 1.800250+4 1.428894-3 1.260448+4 1.603245-3 8.415540+3 1.778279-3 5.809723+3 1.995262-3 3.819558+3 2.238721-3 2.491539+3 2.511886-3 1.612763+3 2.818383-3 1.036072+3 3.162278-3 6.608461+2 3.548134-3 4.184989+2 4.000000-3 2.581153+2 4.518559-3 1.566582+2 5.069907-3 9.705677+1 5.688529-3 5.969471+1 6.382635-3 3.644008+1 7.161434-3 2.207937+1 8.000000-3 1.352836+1 9.015711-3 7.910920+0 1.023293-2 4.447409+0 1.188502-2 2.233400+0 1.496236-2 7.673576-1 1.737801-2 3.805230-1 2.000000-2 1.956306-1 2.344229-2 9.128044-2 2.786121-2 3.952206-2 3.427678-2 1.435083-2 4.623810-2 3.288851-3 7.161434-2 3.807202-4 8.609938-2 1.545522-4 1.011580-1 7.072524-5 1.161449-1 3.642729-5 1.318257-1 1.997358-5 1.479108-1 1.164992-5 1.640590-1 7.218742-6 1.819701-1 4.504957-6 2.000000-1 2.951000-6 2.187762-1 1.988905-6 2.398833-1 1.335472-6 2.691535-1 8.187209-7 2.917427-1 5.844830-7 3.162278-1 4.200317-7 3.388442-1 3.183590-7 3.589219-1 2.540908-7 3.890451-1 1.867682-7 4.216965-1 1.383890-7 4.570882-1 1.033022-7 4.954502-1 7.770324-8 5.370318-1 5.889779-8 5.821032-1 4.498754-8 6.309573-1 3.461117-8 6.760830-1 2.782125-8 7.244360-1 2.251198-8 7.762471-1 1.835324-8 8.317638-1 1.506594-8 8.912509-1 1.245129-8 9.549926-1 1.033425-8 9.885531-1 9.460966-9 1.023293+0 8.706111-9 1.071519+0 7.847344-9 1.122018+0 7.121966-9 1.188502+0 6.359934-9 1.273503+0 5.601858-9 1.380384+0 4.868674-9 1.513561+0 4.170550-9 1.840772+0 2.959760-9 2.044000+0 2.479500-9 2.317395+0 2.021232-9 2.660725+0 1.626464-9 3.054921+0 1.318629-9 3.548134+0 1.058843-9 4.120975+0 8.56572-10 4.841724+0 6.86842-10 5.754399+0 5.46240-10 6.839116+0 4.37782-10 8.317638+0 3.43253-10 1.023293+1 2.67389-10 1.300000+1 2.02120-10 1.640590+1 1.55116-10 2.162719+1 1.14169-10 2.917427+1 8.25147-11 4.415704+1 5.31716-11 6.760830+1 3.41394-11 1.188502+2 1.91487-11 2.371374+2 9.50541-12 4.731513+2 4.74244-12 1.883649+3 1.18690-12 1.000000+5 2.23300-14 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 1.620000-5 1.620000-5 1.000000+5 1.620000-5 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 1.620000-5 0.0 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 5.466000-5 6.088320+4 5.520000-5 6.111800+4 5.623413-5 6.192181+4 5.754399-5 6.333941+4 5.920000-5 6.559460+4 6.165950-5 6.949957+4 6.800000-5 8.051220+4 7.161434-5 8.643874+4 7.500000-5 9.140100+4 7.800000-5 9.521060+4 8.128305-5 9.868167+4 8.413951-5 1.010948+5 8.709636-5 1.030215+5 9.015711-5 1.044424+5 9.400000-5 1.054938+5 9.800000-5 1.058686+5 1.023293-4 1.056383+5 1.083927-4 1.045412+5 1.150000-4 1.026936+5 1.230269-4 9.992243+4 1.318257-4 9.650236+4 1.412538-4 9.255864+4 1.513561-4 8.813265+4 1.621810-4 8.333317+4 1.757924-4 7.750397+4 1.950000-4 7.003720+4 2.162719-4 6.283711+4 2.371374-4 5.667790+4 2.660725-4 4.941408+4 3.054921-4 4.161302+4 3.467369-4 3.529812+4 4.120975-4 2.794572+4 4.786301-4 2.266881+4 5.821032-4 1.709715+4 7.079458-4 1.277900+4 8.511380-4 9.642025+3 1.023293-3 7.221071+3 1.230269-3 5.366544+3 1.479108-3 3.957008+3 1.778279-3 2.894967+3 2.137962-3 2.102413+3 2.600160-3 1.485205+3 3.162278-3 1.041061+3 3.890451-3 7.091950+2 4.786301-3 4.794245+2 5.888437-3 3.218019+2 7.161434-3 2.192683+2 8.709636-3 1.482878+2 1.047129-2 1.018749+2 1.258925-2 6.948128+1 1.513561-2 4.702992+1 1.819701-2 3.157878+1 2.264644-2 1.950869+1 2.691535-2 1.324371+1 3.090295-2 9.657894+0 3.630781-2 6.626713+0 4.265795-2 4.513860+0 5.069907-2 2.968598+0 6.025596-2 1.937612+0 7.244360-2 1.219770+0 8.511380-2 8.082930-1 1.047129-1 4.722278-1 1.348963-1 2.427626-1 2.398833-1 5.260116-2 2.951209-1 3.052029-2 3.507519-1 1.952240-2 4.027170-1 1.374613-2 4.623810-1 9.753521-3 5.248075-1 7.174313-3 5.888437-1 5.463757-3 6.606935-1 4.192063-3 7.413102-1 3.240264-3 8.413951-1 2.461223-3 9.332543-1 1.979550-3 1.023293+0 1.642758-3 1.174898+0 1.252091-3 1.318257+0 1.005320-3 1.479108+0 8.128336-4 1.659587+0 6.616402-4 1.862087+0 5.421863-4 2.113489+0 4.388735-4 2.426610+0 3.513097-4 2.786121+0 2.834073-4 3.198895+0 2.303160-4 3.715352+0 1.853805-4 4.365158+0 1.479221-4 5.188000+0 1.171022-4 6.165950+0 9.342071-5 7.498942+0 7.294969-5 9.120108+0 5.740078-5 1.122018+1 4.486015-5 1.428894+1 3.391856-5 1.862087+1 2.518296-5 2.570396+1 1.768810-5 3.589219+1 1.237618-5 5.308844+1 8.202279-6 8.912509+1 4.805437-6 1.757924+2 2.406131-6 3.507519+2 1.198650-6 1.396368+3 2.995337-7 1.000000+5 4.176200-9 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 5.466000-5 5.466000-5 1.000000+5 5.466000-5 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 5.466000-5 0.0 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 3.483000-5 4.725080+6 3.548134-5 4.530025+6 3.630781-5 4.264686+6 3.758374-5 3.857529+6 3.920000-5 3.382020+6 4.073803-5 2.982839+6 4.265795-5 2.550229+6 4.500000-5 2.110840+6 4.800000-5 1.666294+6 5.956621-5 7.374569+5 6.500000-5 5.337340+5 7.000000-5 4.084000+5 7.500000-5 3.205460+5 8.000000-5 2.573960+5 8.500000-5 2.110260+5 8.912509-5 1.817829+5 9.332543-5 1.582048+5 9.800000-5 1.375078+5 1.023293-4 1.222689+5 1.071519-4 1.086366+5 1.122018-4 9.722330+4 1.174898-4 8.762785+4 1.230269-4 7.952442+4 1.288400-4 7.263948+4 1.350000-4 6.672320+4 1.412538-4 6.182513+4 1.480000-4 5.749600+4 1.566751-4 5.301708+4 1.659587-4 4.920850+4 1.778279-4 4.535545+4 1.927525-4 4.156583+4 2.137962-4 3.746392+4 2.483133-4 3.253470+4 3.200000-4 2.573780+4 3.758374-4 2.203176+4 4.315191-4 1.915148+4 4.897788-4 1.673309+4 5.559043-4 1.452888+4 6.309573-4 1.252746+4 7.161434-4 1.072759+4 8.035261-4 9.258290+3 9.015711-4 7.944255+3 1.023293-3 6.665099+3 1.161449-3 5.551184+3 1.318257-3 4.587273+3 1.500000-3 3.746520+3 1.699000-3 3.058856+3 1.905461-3 2.520740+3 2.162719-3 2.021180+3 2.454709-3 1.608917+3 2.786121-3 1.271629+3 3.162278-3 9.980522+2 3.589219-3 7.779338+2 4.073803-3 6.021653+2 4.623810-3 4.629191+2 5.248075-3 3.534030+2 6.000000-3 2.636391+2 6.839116-3 1.964762+2 7.762471-3 1.467625+2 8.810489-3 1.088372+2 1.000000-2 8.013276+1 1.135011-2 5.854212+1 1.303167-2 4.125724+1 1.584893-2 2.488469+1 1.819701-2 1.731606+1 2.041738-2 1.271904+1 2.317395-2 8.976972+0 2.660725-2 6.089271+0 3.090295-2 3.966999+0 3.630781-2 2.482428+0 4.315191-2 1.489929+0 5.128614-2 8.875572-1 6.309573-2 4.724112-1 8.128305-2 2.166294-1 1.566751-1 2.828391-2 1.927525-1 1.497482-2 2.290868-1 8.873531-3 2.660725-1 5.676192-3 3.054921-1 3.783765-3 3.467369-1 2.626560-3 3.935501-1 1.836800-3 4.415705-1 1.336644-3 4.954502-1 9.798227-4 5.559043-1 7.238401-4 6.165950-1 5.550600-4 6.839117-1 4.286372-4 7.585776-1 3.334362-4 8.609938-1 2.471393-4 9.225714-1 2.111224-4 9.885531-1 1.816283-4 1.071519+0 1.538028-4 1.174898+0 1.281537-4 1.288250+0 1.075817-4 1.428894+0 8.905129-5 1.698244+0 6.553114-5 1.927525+0 5.271212-5 2.187762+0 4.275260-5 2.511886+0 3.429040-5 2.884032+0 2.771386-5 3.311311+0 2.256230-5 3.845918+0 1.819198-5 4.518559+0 1.454024-5 5.370318+0 1.152864-5 6.382635+0 9.211622-6 7.762471+0 7.203052-6 9.549926+0 5.596877-6 1.188502+1 4.322673-6 1.513561+1 3.274163-6 1.972423+1 2.435307-6 2.722701+1 1.712960-6 4.073803+1 1.115667-6 5.888437+1 7.591716-7 9.772372+1 4.507313-7 1.905461+2 2.285630-7 3.801894+2 1.139295-7 1.513561+3 2.847729-8 1.000000+5 4.30410-10 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 3.483000-5 3.483000-5 1.000000+5 3.483000-5 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.483000-5 0.0 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 3.018000-5 1.007692+7 3.090295-5 9.394399+6 3.198895-5 8.409692+6 3.350000-5 7.195320+6 3.570000-5 5.760320+6 3.845918-5 4.404581+6 4.168694-5 3.268422+6 4.900000-5 1.783212+6 5.248075-5 1.387028+6 5.575000-5 1.119036+6 5.900000-5 9.214160+5 6.237348-5 7.672549+5 6.531306-5 6.634646+5 6.839116-5 5.772948+5 7.161434-5 5.057038+5 7.500000-5 4.460680+5 7.852356-5 3.968468+5 8.150000-5 3.631292+5 8.511380-5 3.296517+5 8.912509-5 2.998385+5 9.332543-5 2.748300+5 9.800000-5 2.525284+5 1.035142-4 2.315989+5 1.096478-4 2.131523+5 1.161449-4 1.974925+5 1.244515-4 1.814868+5 1.350000-4 1.655808+5 1.496236-4 1.487621+5 2.187762-4 1.024437+5 2.540973-4 8.788213+4 2.951209-4 7.488440+4 3.388442-4 6.415398+4 3.890451-4 5.456251+4 4.415704-4 4.675881+4 5.069907-4 3.923385+4 5.800000-4 3.285140+4 6.606934-4 2.747730+4 7.585776-4 2.257495+4 8.709636-4 1.840534+4 9.885531-4 1.516064+4 1.135011-3 1.217406+4 1.288250-3 9.885361+3 1.462177-3 7.971459+3 1.659587-3 6.382743+3 1.883649-3 5.075027+3 2.137962-3 4.007243+3 2.426610-3 3.142265+3 2.754229-3 2.447117+3 3.162278-3 1.848519+3 3.589219-3 1.419280+3 4.073803-3 1.082303+3 4.623810-3 8.197175+2 5.248075-3 6.166200+2 6.000000-3 4.529120+2 6.839116-3 3.323603+2 7.762471-3 2.446105+2 8.810489-3 1.786703+2 1.000000-2 1.295576+2 1.135011-2 9.324262+1 1.288250-2 6.663060+1 1.462177-2 4.728274+1 1.678804-2 3.227744+1 1.927525-2 2.186243+1 2.213095-2 1.469344+1 2.540973-2 9.801843+0 2.917427-2 6.492369+0 3.349654-2 4.269840+0 3.890451-2 2.692187+0 4.570882-2 1.625917+0 5.308844-2 1.011159+0 6.382635-2 5.590896-1 8.035261-2 2.643007-1 1.047129-1 1.108096-1 1.496236-1 3.419314-2 1.840772-1 1.739336-2 2.187762-1 9.972743-3 2.511886-1 6.433327-3 2.851018-1 4.334081-3 3.198895-1 3.046840-3 3.589219-1 2.157545-3 4.000000-1 1.570800-3 4.415705-1 1.184291-3 4.897788-1 8.874217-4 5.370318-1 6.912322-4 5.888437-1 5.419197-4 6.456542-1 4.277666-4 7.079458-1 3.399837-4 7.762471-1 2.720810-4 8.609938-1 2.129560-4 9.225714-1 1.819586-4 9.885531-1 1.565813-4 1.071519+0 1.326198-4 1.174898+0 1.105120-4 1.288250+0 9.276829-5 1.428894+0 7.677980-5 1.698244+0 5.649906-5 1.927525+0 4.544670-5 2.187762+0 3.685540-5 2.511886+0 2.956031-5 2.884032+0 2.389284-5 3.311311+0 1.945201-5 3.845918+0 1.568404-5 4.518559+0 1.253568-5 5.370318+0 9.939183-6 6.382635+0 7.941600-6 7.762471+0 6.209990-6 9.549926+0 4.825241-6 1.188502+1 3.726723-6 1.513561+1 2.822783-6 1.972423+1 2.099600-6 2.722701+1 1.476853-6 3.981072+1 9.854889-7 5.754399+1 6.703099-7 9.549926+1 3.978427-7 1.862087+2 2.017012-7 3.715352+2 1.005190-7 1.479108+3 2.512340-8 1.000000+5 3.71070-10 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 3.018000-5 3.018000-5 1.000000+5 3.018000-5 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 3.018000-5 0.0 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 5.190000-6 2.017500+6 5.495409-6 2.205341+6 5.700000-6 2.319580+6 5.956621-6 2.447856+6 6.237348-6 2.572211+6 6.531306-6 2.685528+6 6.918310-6 2.815124+6 7.350000-6 2.935396+6 7.852356-6 3.048134+6 8.413951-6 3.147701+6 9.015711-6 3.225790+6 9.660509-6 3.279991+6 1.023293-5 3.304857+6 1.083927-5 3.308884+6 1.150000-5 3.290444+6 1.215000-5 3.248884+6 1.273503-5 3.192951+6 1.333521-5 3.120590+6 1.400000-5 3.025564+6 1.462177-5 2.923574+6 1.531087-5 2.800172+6 1.603245-5 2.662271+6 1.678804-5 2.512603+6 1.757924-5 2.354445+6 1.840772-5 2.191076+6 1.927525-5 2.025555+6 2.018366-5 1.860861+6 2.113489-5 1.699874+6 2.238721-5 1.507452+6 2.371374-5 1.327531+6 2.511886-5 1.161852+6 2.691535-5 9.833636+5 2.900000-5 8.150880+5 3.126079-5 6.696136+5 3.350000-5 5.549320+5 3.589219-5 4.567161+5 3.801894-5 3.859303+5 4.027170-5 3.241119+5 4.265795-5 2.704019+5 4.518559-5 2.241309+5 4.800000-5 1.826152+5 5.069907-5 1.507724+5 5.370318-5 1.224177+5 5.754399-5 9.455665+4 6.095369-5 7.573731+4 6.531306-5 5.758484+4 6.918310-5 4.552650+4 7.400000-5 3.432148+4 7.852356-5 2.655189+4 8.317638-5 2.056308+4 8.810489-5 1.581916+4 1.040000-4 7.294640+3 1.083927-4 6.038205+3 1.122018-4 5.184654+3 1.161449-4 4.484473+3 1.190000-4 4.072320+3 1.220000-4 3.711192+3 1.250000-4 3.412844+3 1.280000-4 3.167460+3 1.307000-4 2.985080+3 1.333521-4 2.836450+3 1.362400-4 2.704309+3 1.390000-4 2.602820+3 1.415000-4 2.528768+3 1.445440-4 2.458147+3 1.480000-4 2.399980+3 1.515000-4 2.360860+3 1.548817-4 2.338332+3 1.603245-4 2.323577+3 1.659587-4 2.327595+3 1.717908-4 2.347976+3 1.778279-4 2.382548+3 1.862087-4 2.447209+3 2.000000-4 2.578848+3 2.264644-4 2.710309+3 2.454709-4 2.781859+3 2.630268-4 2.827048+3 2.786121-4 2.849157+3 2.851018-4 2.852594+3 3.019952-4 2.832045+3 3.198895-4 2.792446+3 3.388442-4 2.734938+3 3.589219-4 2.661696+3 3.801894-4 2.574888+3 4.073803-4 2.456122+3 4.365158-4 2.325249+3 4.677351-4 2.185537+3 5.011872-4 2.040422+3 5.370318-4 1.893568+3 5.754399-4 1.746435+3 6.165950-4 1.601010+3 6.683439-4 1.435948+3 7.244360-4 1.278446+3 7.852356-4 1.130331+3 8.511380-4 9.924957+2 9.225714-4 8.655830+2 1.000000-3 7.499039+2 1.083927-3 6.455675+2 1.188502-3 5.399123+2 1.303167-3 4.481536+2 1.428894-3 3.692200+2 1.566751-3 3.019562+2 1.717908-3 2.451114+2 1.905461-3 1.923333+2 2.137962-3 1.457147+2 2.371374-3 1.126951+2 2.630268-3 8.651872+1 2.917427-3 6.592414+1 3.198895-3 5.142276+1 3.548134-3 3.859266+1 3.935501-3 2.875187+1 4.365158-3 2.128263+1 4.841724-3 1.565006+1 5.370318-3 1.143283+1 6.025596-3 8.004806+0 6.760830-3 5.560895+0 7.585776-3 3.833573+0 8.511380-3 2.622951+0 9.549926-3 1.781418+0 1.071519-2 1.201466+0 1.216186-2 7.730561-1 1.380384-2 4.936107-1 1.566751-2 3.129092-1 1.798871-2 1.888329-1 2.065380-2 1.130781-1 2.371374-2 6.721957-2 2.754229-2 3.798236-2 3.198895-2 2.131077-2 3.801894-2 1.085600-2 4.677351-2 4.793106-3 6.095369-2 1.671455-3 9.549926-2 2.788586-4 1.188502-1 1.172876-4 1.412538-1 5.959862-5 1.640590-1 3.336560-5 1.883649-1 1.966248-5 2.162719-1 1.167396-5 2.454709-1 7.292928-6 2.754229-1 4.787984-6 3.090295-1 3.165528-6 3.427678-1 2.195250-6 3.801894-1 1.533666-6 4.120975-1 1.167291-6 4.570882-1 8.284409-7 5.069907-1 5.925397-7 5.559043-1 4.425470-7 6.095369-1 3.327077-7 6.683439-1 2.518788-7 7.244360-1 1.986896-7 7.852356-1 1.577330-7 8.609938-1 1.214466-7 9.120108-1 1.038551-7 9.549926-1 9.218635-8 1.000000+0 8.235200-8 1.047129+0 7.409847-8 1.096478+0 6.712564-8 1.161449+0 5.980189-8 1.230269+0 5.365526-8 1.333521+0 4.641313-8 1.479108+0 3.884897-8 1.840772+0 2.649857-8 2.044000+0 2.220200-8 2.317395+0 1.809766-8 2.660725+0 1.456313-8 3.054921+0 1.180725-8 3.548134+0 9.481305-9 4.120975+0 7.670211-9 4.841724+0 6.150351-9 5.754399+0 4.891333-9 6.839116+0 3.920122-9 8.317638+0 3.073642-9 1.023293+1 2.394337-9 1.303167+1 1.804832-9 1.640590+1 1.388987-9 2.137962+1 1.035369-9 2.884032+1 7.48044-10 4.365158+1 4.81920-10 6.606934+1 3.13059-10 1.135011+2 1.79709-10 2.264644+2 8.91723-11 4.518559+2 4.44818-11 1.798871+3 1.11298-11 1.000000+5 1.99950-13 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 5.190000-6 5.190000-6 1.000000+5 5.190000-6 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 5.190000-6 0.0 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 4.850000-6 3.547428+6 5.100000-6 3.788412+6 5.308844-6 3.966603+6 5.600000-6 4.181412+6 5.888437-6 4.359520+6 6.237348-6 4.540588+6 6.606934-6 4.695022+6 7.079458-6 4.851875+6 7.585776-6 4.976527+6 8.128305-6 5.069822+6 8.709636-6 5.131933+6 9.332543-6 5.160840+6 1.000000-5 5.152758+6 1.059254-5 5.114139+6 1.122018-5 5.043611+6 1.188502-5 4.939828+6 1.250000-5 4.818810+6 1.318257-5 4.659480+6 1.380384-5 4.497488+6 1.445440-5 4.312298+6 1.513561-5 4.107763+6 1.590000-5 3.870852+6 1.659587-5 3.652308+6 1.737801-5 3.408196+6 1.830000-5 3.129186+6 1.927525-5 2.849998+6 2.018366-5 2.607135+6 2.137962-5 2.314897+6 2.270000-5 2.030004+6 2.400000-5 1.785924+6 2.570396-5 1.513963+6 2.754229-5 1.273232+6 2.951209-5 1.063796+6 3.162278-5 8.829861+5 3.388442-5 7.281770+5 3.630781-5 5.958098+5 3.845918-5 5.010936+5 4.073803-5 4.186635+5 4.315191-5 3.475102+5 4.570882-5 2.864902+5 4.841724-5 2.344395+5 5.128614-5 1.906150+5 5.432503-5 1.538562+5 5.800000-5 1.197162+5 6.165950-5 9.395712+4 6.531306-5 7.437466+4 6.918310-5 5.848544+4 7.328245-5 4.572307+4 7.762471-5 3.550240+4 8.300000-5 2.625606+4 9.015711-5 1.790384+4 1.000000-4 1.104282+4 1.050000-4 8.854020+3 1.083927-4 7.708700+3 1.115000-4 6.854280+3 1.148154-4 6.110603+3 1.174898-4 5.615732+3 1.202264-4 5.192184+3 1.230269-4 4.833547+3 1.258925-4 4.532831+3 1.288250-4 4.283304+3 1.315000-4 4.099512+3 1.345000-4 3.936276+3 1.375000-4 3.811368+3 1.405000-4 3.717870+3 1.440000-4 3.641430+3 1.462177-4 3.608597+3 1.500000-4 3.575820+3 1.548817-4 3.557575+3 1.603245-4 3.564029+3 1.659587-4 3.594239+3 1.717908-4 3.645156+3 1.798871-4 3.740334+3 1.905461-4 3.893608+3 2.000000-4 4.042206+3 2.187762-4 4.172430+3 2.371374-4 4.264999+3 2.540973-4 4.318025+3 2.722701-4 4.340143+3 2.884032-4 4.330777+3 3.019952-4 4.300247+3 3.198895-4 4.217309+3 3.388442-4 4.110572+3 3.589219-4 3.982886+3 3.845918-4 3.806324+3 4.120975-4 3.609371+3 4.415704-4 3.397500+3 4.731513-4 3.176102+3 5.128614-4 2.912682+3 5.495409-4 2.687282+3 5.956621-4 2.427807+3 6.456542-4 2.175607+3 7.000000-4 1.934466+3 7.585776-4 1.709519+3 8.222426-4 1.500272+3 8.912509-4 1.308135+3 9.660509-4 1.132848+3 1.059254-3 9.536056+2 1.161449-3 7.963943+2 1.273503-3 6.599759+2 1.396368-3 5.428345+2 1.531087-3 4.432408+2 1.678804-3 3.593658+2 1.840772-3 2.893922+2 2.041738-3 2.250579+2 2.238721-3 1.787431+2 2.483133-3 1.366163+2 2.786121-3 1.004898+2 3.090295-3 7.574394+1 3.427678-3 5.670945+1 3.801894-3 4.217519+1 4.216965-3 3.115813+1 4.677351-3 2.286657+1 5.188000-3 1.666983+1 5.754399-3 1.207195+1 6.456542-3 8.370484+0 7.244360-3 5.758444+0 8.128305-3 3.930900+0 9.120108-3 2.662793+0 1.023293-2 1.790597+0 1.148154-2 1.195721+0 1.303167-2 7.609789-1 1.479108-2 4.805792-1 1.678804-2 3.012925-1 1.905461-2 1.875753-1 2.187762-2 1.109961-1 2.511886-2 6.519246-2 2.917427-2 3.635112-2 3.388442-2 2.011543-2 4.027170-2 1.008492-2 4.954502-2 4.367837-3 9.549926-2 3.009140-4 1.174898-1 1.300308-4 1.380384-1 6.818286-5 1.584893-1 3.947510-5 1.798871-1 2.408373-5 2.018366-1 1.547294-5 2.264644-1 1.001453-5 2.511886-1 6.817425-6 2.786121-1 4.674769-6 3.054921-1 3.365075-6 3.349654-1 2.438980-6 3.672823-1 1.781064-6 4.000000-1 1.340700-6 4.365158-1 1.010954-6 4.731513-1 7.844265-7 5.188000-1 5.915063-7 5.623413-1 4.651741-7 6.095369-1 3.682973-7 6.606935-1 2.936631-7 7.161434-1 2.358190-7 7.762471-1 1.907388-7 8.511380-1 1.505461-7 9.015711-1 1.305666-7 9.549926-1 1.139637-7 1.011579+0 1.002212-7 1.071519+0 8.875232-8 1.148154+0 7.724802-8 1.244515+0 6.622074-8 1.364583+0 5.595155-8 1.737801+0 3.650670-8 1.949845+0 2.997110-8 2.213095+0 2.432267-8 2.540973+0 1.952153-8 2.917427+0 1.578831-8 3.349654+0 1.286100-8 3.890451+0 1.037543-8 4.570882+0 8.297266-9 5.432503+0 6.582102-9 6.456542+0 5.261916-9 7.852356+0 4.116481-9 9.660509+0 3.199940-9 1.202264+1 2.472469-9 1.531087+1 1.873398-9 2.000000+1 1.390300-9 2.754229+1 9.80736-10 4.120975+1 6.38918-10 6.000000+1 4.31610-10 9.885531+1 2.58220-10 1.949845+2 1.29442-10 3.890451+2 6.45302-11 1.548817+3 1.61315-11 1.000000+5 2.49500-13 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 4.850000-6 4.850000-6 1.000000+5 4.850000-6 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 4.850000-6 0.0 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.710000-6 3.864639+6 6.200000-6 2.662320+6 6.700000-6 1.861414+6 7.244360-6 1.287081+6 7.762471-6 9.215445+5 8.222426-6 6.936820+5 8.709636-6 5.192231+5 9.225714-6 3.864109+5 9.885531-6 2.691632+5 1.071519-5 1.750961+5 1.180000-5 1.044150+5 1.230269-5 8.386090+4 1.273503-5 7.029508+4 1.318257-5 5.933847+4 1.350000-5 5.309240+4 1.380384-5 4.808925+4 1.412538-5 4.367312+4 1.445440-5 3.994330+4 1.470000-5 3.760320+4 1.500000-5 3.518640+4 1.531087-5 3.312367+4 1.560000-5 3.155020+4 1.590000-5 3.021820+4 1.621810-5 2.908997+4 1.650000-5 2.830260+4 1.680000-5 2.765060+4 1.717908-5 2.705878+4 1.757924-5 2.666663+4 1.800000-5 2.646260+4 1.850000-5 2.643860+4 1.905461-5 2.662353+4 1.972423-5 2.706016+4 2.041738-5 2.767758+4 2.162719-5 2.897568+4 2.454709-5 3.226929+4 2.600160-5 3.370421+4 2.754229-5 3.498328+4 2.917427-5 3.605376+4 3.090295-5 3.689110+4 3.273407-5 3.748114+4 3.467369-5 3.781491+4 3.672823-5 3.789085+4 3.900000-5 3.769140+4 4.150000-5 3.719200+4 4.415704-5 3.642806+4 4.677351-5 3.551424+4 5.011872-5 3.419708+4 5.370318-5 3.267998+4 5.800000-5 3.081360+4 6.309573-5 2.866682+4 6.918310-5 2.628787+4 7.762471-5 2.337356+4 8.912509-5 2.013327+4 1.122018-4 1.551005+4 1.621810-4 1.015164+4 1.798871-4 8.954613+3 2.000000-4 7.820120+3 2.238721-4 6.711038+3 2.570396-4 5.518310+3 3.090295-4 4.225924+3 3.801894-4 3.137146+3 4.466836-4 2.470732+3 5.821032-4 1.652954+3 7.161434-4 1.203718+3 8.810489-4 8.672178+2 1.071519-3 6.337067+2 1.288250-3 4.681311+2 1.566751-3 3.366597+2 1.905461-3 2.402518+2 2.317395-3 1.701623+2 2.818383-3 1.196436+2 3.548134-3 7.838202+1 4.365158-3 5.317382+1 5.370318-3 3.580554+1 6.683439-3 2.339760+1 8.128305-3 1.587156+1 9.885531-3 1.068313+1 1.188502-2 7.304279+0 1.428894-2 4.956495+0 1.717908-2 3.337193+0 2.041738-2 2.286359+0 2.426610-2 1.555014+0 2.884032-2 1.049674+0 3.388442-2 7.220788-1 4.027170-2 4.799498-1 4.786301-2 3.165687-1 5.623413-2 2.131550-1 6.760830-2 1.345793-1 8.128305-2 8.431635-2 9.885531-2 5.084735-2 1.258925-1 2.699498-2 1.603245-1 1.423472-2 2.371374-1 5.027095-3 2.917427-1 2.916305-3 3.467369-1 1.864988-3 4.027170-1 1.275424-3 4.570882-1 9.311048-4 5.188000-1 6.847413-4 5.821032-1 5.215380-4 6.531306-1 4.001507-4 7.328245-1 3.093862-4 8.222427-1 2.411061-4 9.120108-1 1.939935-4 1.011579+0 1.572757-4 1.174898+0 1.172283-4 1.318257+0 9.410553-5 1.496236+0 7.447682-5 1.678804+0 6.065944-5 1.883649+0 4.974304-5 2.137962+0 4.029381-5 2.454709+0 3.227612-5 2.818383+0 2.605389-5 3.235937+0 2.118547-5 3.758374+0 1.706177-5 4.415704+0 1.362223-5 5.248075+0 1.078978-5 6.237348+0 8.611991-6 7.585776+0 6.728045-6 9.225714+0 5.296171-6 1.135011+1 4.140790-6 1.445440+1 3.131887-6 1.883649+1 2.326162-6 2.630268+1 1.614053-6 3.801894+1 1.089416-6 5.559043+1 7.315382-7 9.332543+1 4.288845-7 1.840772+2 2.148644-7 3.672823+2 1.070696-7 1.462177+3 2.676068-8 1.000000+5 3.90710-10 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.710000-6 5.710000-6 1.000000+5 5.710000-6 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.710000-6 0.0 1.000000+5 1.000000+5 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.078030-7 1.027100+0 1.334880-6 1.027500+0 1.671930-6 1.028100+0 2.276300-6 1.028750+0 3.078030-6 1.029500+0 4.212370-6 1.030100+0 5.297560-6 1.031000+0 7.248870-6 1.032000+0 9.918270-6 1.033200+0 1.389380-5 1.034000+0 1.705590-5 1.035300+0 2.315100-5 1.036640+0 3.078030-5 1.038200+0 4.153900-5 1.039700+0 5.396750-5 1.041500+0 7.180310-5 1.043800+0 9.966500-5 1.046400+0 1.386650-4 1.048300+0 1.726420-4 1.051200+0 2.341850-4 1.054080+0 3.078030-4 1.057700+0 4.195560-4 1.061100+0 5.457400-4 1.065100+0 7.225020-4 1.070400+0 1.007970-3 1.076200+0 1.393020-3 1.080600+0 1.739660-3 1.087100+0 2.343880-3 1.093710+0 3.078030-3 1.102600+0 4.267450-3 1.110700+0 5.565260-3 1.120600+0 7.444060-3 1.133300+0 1.034950-2 1.147500+0 1.428860-2 1.158200+0 1.775700-2 1.174100+0 2.373500-2 1.190110+0 3.078030-2 1.205100+0 3.832810-2 1.227500+0 5.131340-2 1.250000+0 6.627000-2 1.265600+0 7.762610-2 1.294900+0 1.008700-1 1.320600+0 1.230210-1 1.343000+0 1.434390-1 1.382200+0 1.812140-1 1.433800+0 2.340480-1 1.500000+0 3.064000-1 1.562500+0 3.798290-1 1.617200+0 4.479930-1 1.712900+0 5.746120-1 1.838500+0 7.511670-1 1.946200+0 9.073450-1 2.000000+0 9.855000-1 2.044000+0 1.049000+0 2.163500+0 1.220820+0 2.372600+0 1.517990+0 2.647100+0 1.896840+0 3.000000+0 2.361000+0 3.500000+0 2.972810+0 4.000000+0 3.536000+0 4.750000+0 4.300810+0 5.000000+0 4.537000+0 6.000000+0 5.399000+0 7.000000+0 6.160000+0 8.000000+0 6.844000+0 9.000000+0 7.466000+0 1.000000+1 8.036000+0 1.100000+1 8.563000+0 1.200000+1 9.051000+0 1.300000+1 9.509000+0 1.400000+1 9.932000+0 1.500000+1 1.033000+1 1.600000+1 1.069000+1 1.800000+1 1.135000+1 2.000000+1 1.194000+1 2.200000+1 1.248000+1 2.400000+1 1.296000+1 2.600000+1 1.341000+1 2.800000+1 1.381000+1 3.000000+1 1.419000+1 4.000000+1 1.572000+1 5.000000+1 1.685000+1 6.000000+1 1.774000+1 8.000000+1 1.904000+1 1.000000+2 1.996000+1 1.500000+2 2.143000+1 2.000000+2 2.230000+1 3.000000+2 2.331000+1 4.000000+2 2.390000+1 5.000000+2 2.428000+1 6.000000+2 2.455000+1 8.000000+2 2.491000+1 1.000000+3 2.515000+1 1.500000+3 2.549000+1 2.000000+3 2.568000+1 3.000000+3 2.588000+1 4.000000+3 2.598000+1 5.000000+3 2.605000+1 6.000000+3 2.610000+1 8.000000+3 2.616000+1 1.000000+4 2.620000+1 1.500000+4 2.625000+1 2.000000+4 2.628000+1 3.000000+4 2.631000+1 4.000000+4 2.633000+1 5.000000+4 2.634000+1 6.000000+4 2.635000+1 8.000000+4 2.635000+1 1.000000+5 2.636000+1 1 64000 7 8 1.572500+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 6.413640-7 2.094700+0 1.129140-6 2.099900+0 1.502160-6 2.106600+0 2.089630-6 2.114000+0 2.891270-6 2.119500+0 3.599620-6 2.127900+0 4.881760-6 2.136250+0 6.413640-6 2.147000+0 8.793550-6 2.156900+0 1.142180-5 2.169000+0 1.524310-5 2.184500+0 2.118840-5 2.201800+0 2.931470-5 2.214800+0 3.652380-5 2.234200+0 4.913100-5 2.253680+0 6.413640-5 2.281500+0 8.983440-5 2.307000+0 1.179970-4 2.338200+0 1.586570-4 2.377400+0 2.197210-4 2.410200+0 2.794490-4 2.446800+0 3.554750-4 2.485900+0 4.475620-4 2.532900+0 5.727830-4 2.556430+0 6.413640-4 2.611900+0 8.178110-4 2.660400+0 9.886900-4 2.745300+0 1.323300-3 2.809000+0 1.602590-3 2.904500+0 2.064550-3 3.000000+0 2.577000-3 3.125000+0 3.322910-3 3.234400+0 4.043170-3 3.425800+0 5.444410-3 3.569300+0 6.601540-3 3.784700+0 8.485420-3 4.000000+0 1.051000-2 4.250000+0 1.298420-2 4.625000+0 1.687090-2 5.000000+0 2.091000-2 5.500000+0 2.645350-2 6.000000+0 3.207000-2 6.750000+0 4.042280-2 7.000000+0 4.317000-2 8.000000+0 5.391000-2 9.000000+0 6.417000-2 1.000000+1 7.391000-2 1.100000+1 8.311000-2 1.200000+1 9.178000-2 1.300000+1 9.994000-2 1.400000+1 1.077000-1 1.500000+1 1.150000-1 1.600000+1 1.220000-1 1.800000+1 1.349000-1 2.000000+1 1.466000-1 2.200000+1 1.573000-1 2.400000+1 1.671000-1 2.600000+1 1.762000-1 2.800000+1 1.845000-1 3.000000+1 1.923000-1 4.000000+1 2.245000-1 5.000000+1 2.487000-1 6.000000+1 2.679000-1 8.000000+1 2.967000-1 1.000000+2 3.175000-1 1.500000+2 3.518000-1 2.000000+2 3.732000-1 3.000000+2 3.994000-1 4.000000+2 4.150000-1 5.000000+2 4.257000-1 6.000000+2 4.335000-1 8.000000+2 4.443000-1 1.000000+3 4.515000-1 1.500000+3 4.623000-1 2.000000+3 4.684000-1 3.000000+3 4.751000-1 4.000000+3 4.790000-1 5.000000+3 4.814000-1 6.000000+3 4.831000-1 8.000000+3 4.854000-1 1.000000+4 4.868000-1 1.500000+4 4.888000-1 2.000000+4 4.899000-1 3.000000+4 4.910000-1 4.000000+4 4.917000-1 5.000000+4 4.921000-1 6.000000+4 4.924000-1 8.000000+4 4.927000-1 1.000000+5 4.929000-1 1 64000 7 8 1.572500+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 64000 7 9 1.572500+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 6.400000+1 1.000000+5 6.400000+1 5.000000+5 6.396000+1 7.500000+5 6.393190+1 1.000000+6 6.391200+1 1.250000+6 6.388260+1 1.500000+6 6.384900+1 1.875000+6 6.376530+1 2.000000+6 6.373300+1 2.375000+6 6.362680+1 2.500000+6 6.358800+1 2.875000+6 6.346050+1 3.000000+6 6.341400+1 3.437500+6 6.323690+1 3.812500+6 6.306810+1 4.000000+6 6.299000+1 4.437500+6 6.278590+1 4.812500+6 6.260060+1 5.000000+6 6.250400+1 5.500000+6 6.222090+1 5.875000+6 6.199630+1 6.437500+6 6.164290+1 6.500000+6 6.160300+1 7.000000+6 6.128700+1 7.500000+6 6.095850+1 8.250000+6 6.046840+1 9.000000+6 5.996700+1 1.000000+7 5.928400+1 1.250000+7 5.757700+1 1.500000+7 5.584200+1 1.750000+7 5.415100+1 2.000000+7 5.244600+1 2.250000+7 5.072540+1 2.375000+7 4.986710+1 2.500000+7 4.902600+1 2.875000+7 4.655850+1 3.000000+7 4.576800+1 3.437500+7 4.310400+1 3.500000+7 4.274210+1 3.875000+7 4.065870+1 4.000000+7 4.000400+1 4.500000+7 3.754490+1 5.000000+7 3.531000+1 5.500000+7 3.325430+1 5.750000+7 3.228150+1 6.000000+7 3.134600+1 6.750000+7 2.872140+1 7.000000+7 2.791200+1 7.750000+7 2.566270+1 8.000000+7 2.497700+1 9.000000+7 2.254000+1 1.000000+8 2.056100+1 1.125000+8 1.862230+1 1.187500+8 1.782610+1 1.250000+8 1.711900+1 1.437500+8 1.538440+1 1.500000+8 1.489200+1 1.625000+8 1.396010+1 1.718800+8 1.328030+1 1.812500+8 1.259910+1 1.815400+8 1.257760+1 1.881300+8 1.209180+1 1.960400+8 1.150300+1 2.000000+8 1.120600+1 2.062500+8 1.073560+1 2.335900+8 8.932390+0 2.375000+8 8.728140+0 2.445300+8 8.398360+0 2.500000+8 8.176000+0 2.625000+8 7.766600+0 2.812500+8 7.240300+0 2.906300+8 6.968190+0 3.000000+8 6.669500+0 3.062500+8 6.453050+0 3.335900+8 5.548640+0 3.418000+8 5.336130+0 3.500000+8 5.163000+0 3.562500+8 5.059250+0 3.671900+8 4.919980+0 4.000000+8 4.626600+0 4.125000+8 4.504540+0 4.234400+8 4.387960+0 4.425800+8 4.172690+0 4.712900+8 3.850360+0 4.750000+8 3.810090+0 5.000000+8 3.553800+0 5.437500+8 3.164760+0 5.718800+8 2.933960+0 5.929700+8 2.763970+0 6.000000+8 2.707400+0 6.625000+8 2.250240+0 6.812500+8 2.145690+0 7.000000+8 2.060300+0 8.000000+8 1.774700+0 8.125000+8 1.736830+0 1.000000+9 1.203400+0 1.031300+9 1.153310+0 1.060500+9 1.116110+0 1.100900+9 1.083430+0 1.137900+9 1.059440+0 1.183200+9 1.031780+0 1.370600+9 9.339570-1 1.416800+9 9.132130-1 1.472300+9 8.897460-1 1.500000+9 8.785800-1 1.531300+9 8.602920-1 1.589800+9 8.234660-1 1.641100+9 7.895590-1 1.686000+9 7.593380-1 1.764500+9 7.067120-1 1.823400+9 6.683310-1 1.911700+9 6.137110-1 2.000000+9 5.634600-1 2.139200+9 4.935850-1 2.272600+9 4.361100-1 2.443000+9 3.739600-1 2.602800+9 3.251890-1 2.825100+9 2.695920-1 2.961100+9 2.412950-1 3.215900+9 1.974700-1 3.438900+9 1.669460-1 3.500000+9 1.596210-1 3.634100+9 1.448910-1 3.975600+9 1.143450-1 4.231700+9 9.657160-2 4.615800+9 7.588660-2 5.000000+9 6.045100-2 5.539100+9 4.483880-2 5.990200+9 3.551680-2 6.708000+9 2.521660-2 8.000000+9 1.467800-2 1.00000+10 7.368000-3 1.27030+10 3.535260-3 1.55700+10 1.901920-3 1.85560+10 1.118410-3 2.46860+10 4.743690-4 2.93940+10 2.817970-4 3.82190+10 1.293780-4 5.26990+10 5.027280-5 6.95920+10 2.231260-5 1.00000+11 7.793200-6 1.34280+11 3.331410-6 2.20600+11 8.038960-7 4.19930+11 1.293720-7 1.03480+12 1.028480-8 3.24440+12 4.31113-10 1.00000+14 3.54370-14 2.05350+15 8.51091-18 1.00000+17 1.75360-22 1 64000 7 0 1.572500+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.04000-11 1.000000+2 1.040000-9 1.000000+3 1.040000-7 1.000000+4 1.040000-5 1.000000+5 1.040000-3 5.000000+5 2.600000-2 7.500000+5 5.850000-2 1.000000+6 1.040000-1 1.250000+6 1.611740-1 1.500000+6 2.299000-1 1.875000+6 3.538040-1 2.000000+6 4.003000-1 2.375000+6 5.536810-1 2.500000+6 6.092000-1 2.875000+6 7.873410-1 3.000000+6 8.503000-1 3.437500+6 1.082140+0 3.812500+6 1.292710+0 4.000000+6 1.401300+0 4.437500+6 1.660370+0 4.812500+6 1.886780+0 5.000000+6 2.001000+0 5.500000+6 2.305470+0 5.875000+6 2.532930+0 6.437500+6 2.870180+0 6.500000+6 2.907150+0 7.000000+6 3.200300+0 7.500000+6 3.486160+0 8.250000+6 3.902970+0 9.000000+6 4.307000+0 1.000000+7 4.831000+0 1.250000+7 6.119600+0 1.500000+7 7.420000+0 1.750000+7 8.725900+0 2.000000+7 1.000700+1 2.250000+7 1.124890+1 2.375000+7 1.185510+1 2.500000+7 1.245200+1 2.875000+7 1.418770+1 3.000000+7 1.474900+1 3.437500+7 1.663730+1 3.500000+7 1.689620+1 3.875000+7 1.839300+1 4.000000+7 1.886900+1 4.500000+7 2.064910+1 5.000000+7 2.226900+1 5.500000+7 2.375830+1 5.750000+7 2.446400+1 6.000000+7 2.515500+1 6.750000+7 2.713060+1 7.000000+7 2.776600+1 7.750000+7 2.960240+1 8.000000+7 3.019400+1 9.000000+7 3.246300+1 1.000000+8 3.458300+1 1.125000+8 3.702430+1 1.187500+8 3.815410+1 1.250000+8 3.922400+1 1.437500+8 4.205620+1 1.500000+8 4.288400+1 1.625000+8 4.437430+1 1.718800+8 4.537070+1 1.812500+8 4.628360+1 1.815400+8 4.631090+1 1.881300+8 4.690380+1 1.960400+8 4.757180+1 2.000000+8 4.789000+1 2.062500+8 4.837190+1 2.335900+8 5.022920+1 2.375000+8 5.047100+1 2.445300+8 5.088060+1 2.500000+8 5.119300+1 2.625000+8 5.186090+1 2.812500+8 5.277370+1 2.906300+8 5.319650+1 3.000000+8 5.360000+1 3.062500+8 5.385530+1 3.335900+8 5.489280+1 3.418000+8 5.517720+1 3.500000+8 5.545600+1 3.562500+8 5.565560+1 3.671900+8 5.599830+1 4.000000+8 5.694200+1 4.125000+8 5.726380+1 4.234400+8 5.753890+1 4.425800+8 5.798650+1 4.712900+8 5.859340+1 4.750000+8 5.866500+1 5.000000+8 5.913000+1 5.437500+8 5.982030+1 5.718800+8 6.020150+1 5.929700+8 6.045810+1 6.000000+8 6.053800+1 6.625000+8 6.113570+1 6.812500+8 6.127970+1 7.000000+8 6.142000+1 8.000000+8 6.199000+1 8.125000+8 6.204480+1 1.000000+9 6.268700+1 1.031300+9 6.276400+1 1.060500+9 6.283390+1 1.100900+9 6.292760+1 1.137900+9 6.300720+1 1.183200+9 6.309410+1 1.370600+9 6.338590+1 1.416800+9 6.343990+1 1.472300+9 6.350260+1 1.500000+9 6.353300+1 1.531300+9 6.356100+1 1.589800+9 6.361170+1 1.641100+9 6.365220+1 1.686000+9 6.368150+1 1.764500+9 6.373110+1 1.823400+9 6.376540+1 1.911700+9 6.380510+1 2.000000+9 6.384300+1 2.139200+9 6.388190+1 2.272600+9 6.391690+1 2.443000+9 6.394960+1 2.602800+9 6.396880+1 2.825100+9 6.399360+1 2.961100+9 6.399990+1 3.215900+9 6.400820+1 3.438900+9 6.401280+1 3.500000+9 6.401210+1 3.634100+9 6.401070+1 3.975600+9 6.400740+1 4.231700+9 6.400510+1 4.615800+9 6.400190+1 5.000000+9 6.399900+1 5.539100+9 6.399920+1 5.990200+9 6.399940+1 6.708000+9 6.399960+1 8.000000+9 6.400000+1 1.00000+10 6.400000+1 1.27030+10 6.400000+1 1.55700+10 6.400000+1 1.85560+10 6.400000+1 2.46860+10 6.400000+1 2.93940+10 6.400000+1 3.82190+10 6.400000+1 5.26990+10 6.400000+1 6.95920+10 6.400000+1 1.00000+11 6.400000+1 1.34280+11 6.400000+1 2.20600+11 6.400000+1 4.19930+11 6.400000+1 1.03480+12 6.400000+1 3.24440+12 6.400000+1 1.00000+14 6.400000+1 2.05350+15 6.400000+1 1.00000+17 6.400000+1 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.674338-6 0.0 1.678459-6 2.82317-15 1.682581-6 5.58627-15 1.686702-6 1.02038-14 1.690823-6 1.72050-14 1.694944-6 2.67794-14 1.699065-6 3.84770-14 1.703186-6 5.10336-14 1.707308-6 6.24834-14 1.711429-6 7.06199-14 1.715550-6 7.36789-14 1.719671-6 7.09600-14 1.723792-6 6.30867-14 1.727914-6 5.17745-14 1.736156-6 2.74305-14 1.740277-6 1.77082-14 1.744398-6 1.05528-14 1.748519-6 5.80519-15 1.752641-6 2.94794-15 1.756762-6 0.0 1.869397-6 0.0 1.877449-6 2.706815-1 1.878600-6 3.089557-1 1.883201-6 5.643328-1 1.887802-6 9.515427-1 1.892404-6 1.481068+0 1.900743-6 2.692012+0 1.906207-6 3.455723+0 1.911096-6 3.916273+0 1.915698-6 4.065530+0 1.920434-6 3.884648+0 1.925296-6 3.396336+0 1.933055-6 2.284286+0 1.938524-6 1.504572+0 1.943231-6 9.610586-1 1.947763-6 5.754502-1 1.952220-6 3.210634-1 1.957972-6 1.223515-1 1.961423-6 0.0 2.018575-6 0.0 2.026028-6 1.357145-1 2.028512-6 1.803788-1 2.033481-6 3.294766-1 2.038449-6 5.555429-1 2.043418-6 8.646979-1 2.051491-6 1.495587+0 2.058323-6 2.017568+0 2.063913-6 2.292615+0 2.068881-6 2.368119+0 2.073539-6 2.275422+0 2.078818-6 1.991487+0 2.086911-6 1.366432+0 2.093102-6 8.857226-1 2.098071-6 5.717917-1 2.103039-6 3.407469-1 2.108008-6 1.874477-1 2.115460-6 4.764996-2 2.117945-6 0.0 2.213634-6 0.0 2.219083-6 1.741945-2 2.224531-6 3.446828-2 2.229980-6 6.295914-2 2.235429-6 1.061578-1 2.240877-6 1.652337-1 2.246326-6 2.374101-1 2.251774-6 3.148864-1 2.257223-6 3.855337-1 2.262671-6 4.357373-1 2.268120-6 4.546122-1 2.273569-6 4.378358-1 2.279017-6 3.892562-1 2.284466-6 3.194579-1 2.295363-6 1.692513-1 2.300811-6 1.092627-1 2.306260-6 6.511276-2 2.311709-6 3.581906-2 2.317157-6 1.818932-2 2.322606-6 0.0 2.529695-6 0.0 2.539035-6 3.104490+0 2.542148-6 4.126194+0 2.548374-6 7.536830+0 2.554601-6 1.270813+1 2.561606-6 2.085785+1 2.572405-6 3.638806+1 2.580285-6 4.690186+1 2.586305-6 5.236904+1 2.592620-6 5.420919+1 2.598992-6 5.166271+1 2.605691-6 4.488552+1 2.615525-6 3.097180+1 2.623093-6 2.026104+1 2.629708-6 1.275024+1 2.635546-6 7.794639+0 2.641772-6 4.287895+0 2.650723-6 1.226070+0 2.654225-6 0.0 2.724744-6 0.0 2.736480-6 7.446376+0 2.738157-6 8.499290+0 2.744864-6 1.552465+1 2.751989-6 2.708507+1 2.759115-6 4.296379+1 2.771071-6 7.587871+1 2.778816-6 9.583801+1 2.786189-6 1.081973+2 2.792295-6 1.118014+2 2.799132-6 1.068656+2 2.806067-6 9.376233+1 2.825343-6 4.173447+1 2.832050-6 2.694232+1 2.838756-6 1.605569+1 2.845463-6 8.832369+0 2.857275-6 1.072836+0 2.858876-6 3.955328-7 2.862550-6 4.045152-7 2.869427-6 3.895876-7 2.876303-6 3.463612-7 2.886618-6 2.498424-7 2.896933-6 1.506002-7 2.903809-6 9.722228-8 2.910686-6 5.793752-8 2.917562-6 3.187191-8 2.924439-6 1.618491-8 2.931315-6 0.0 3.138022-6 0.0 3.145745-6 8.986401-9 3.153469-6 1.778161-8 3.161193-6 3.247957-8 3.168917-6 5.476501-8 3.176641-6 8.524129-8 3.184365-6 1.224759-7 3.192088-6 1.624446-7 3.199812-6 1.988904-7 3.207536-6 2.247896-7 3.215260-6 2.345268-7 3.222984-6 2.258722-7 3.230708-6 2.008107-7 3.238432-6 1.648030-7 3.253879-6 8.731388-8 3.261603-6 5.636680-8 3.269327-6 3.359058-8 3.277051-6 1.847846-8 3.284775-6 9.383564-9 3.292498-6 0.0 3.357724-6 0.0 3.368743-6 1.10051-14 3.378864-6 1.737764-8 3.385326-6 6.898415-8 3.393618-6 1.437466-7 3.395497-6 1.633743-7 3.403813-6 2.876237-7 3.412652-6 4.835417-7 3.429452-6 3.166516-2 3.437851-6 5.783845-2 3.446251-6 9.752292-2 3.454651-6 1.517929-1 3.479850-6 3.541703-1 3.488250-6 4.002893-1 3.496650-6 4.176284-1 3.505050-6 4.022166-1 3.514751-6 3.476713-1 3.538649-6 1.554820-1 3.547049-6 1.003737-1 3.555449-6 5.981557-2 3.563848-6 3.290503-2 3.572248-6 1.670954-2 3.580648-6 0.0 3.649141-6 0.0 3.658123-6 5.85068-15 3.667105-6 1.15769-14 3.676087-6 2.11461-14 3.685069-6 3.56552-14 3.694051-6 5.54971-14 3.701961-6 7.68410-14 3.720185-6 1.654538-2 3.729297-6 3.022150-2 3.738960-6 5.266988-2 3.747942-6 8.091385-2 3.774888-6 1.890442-1 3.784630-6 2.171335-1 3.793877-6 2.298525-1 3.803124-6 2.269846-1 3.813509-6 2.074434-1 3.847751-6 1.048819-1 3.856863-6 8.249044-2 3.865975-6 6.356573-2 3.878888-6 4.047385-2 3.884199-6 3.021199-2 3.891427-6 2.347959-2 3.897215-6 3.018253-2 3.906379-6 4.194959-2 3.910584-6 4.798339-2 3.920162-6 7.560205-2 3.929740-6 1.212290-1 3.939319-6 1.849949-1 3.968053-6 4.308045-1 3.977632-6 4.922763-1 3.987210-6 5.188714-1 3.996788-6 5.092237-1 4.006367-6 4.685995-1 4.035101-6 2.883080-1 4.045271-6 2.418825-1 4.055035-6 2.090074-1 4.074565-6 1.575217-1 4.082993-6 1.262853-1 4.098453-6 9.088358-2 4.113623-6 5.398538-2 4.123388-6 3.485107-2 4.133153-6 2.076874-2 4.142917-6 1.142505-2 4.152682-6 5.801756-3 4.162446-6 0.0 4.190301-6 0.0 4.190311-6 5.959874-7 4.210939-6 2.619457-2 4.213071-6 3.066137-2 4.221852-6 9.817933-2 4.232168-6 1.879722-1 4.234486-6 2.136143-1 4.244180-6 3.563956-1 4.256009-6 6.059373-1 4.268173-6 9.428590-1 4.290856-6 2.143088+0 4.306961-6 3.191209+0 4.341941-6 5.789986+0 4.354873-6 6.467912+0 4.364450-6 6.713178+0 4.376615-6 6.519465+0 4.387130-6 5.962975+0 4.401720-6 4.712911+0 4.421806-6 2.769930+0 4.427779-6 2.278210+0 4.436091-6 1.674169+0 4.446596-6 1.113148+0 4.457101-6 7.444098-1 4.472974-6 3.880096-1 4.478112-6 2.638130-1 4.506006-6 2.021421-1 4.516490-6 1.884227-1 4.525476-6 1.854538-1 4.535886-6 1.900575-1 4.569297-6 2.427127-1 4.596534-6 3.104043-1 4.631247-6 4.147986-1 4.647950-6 4.424223-1 4.661788-6 4.369517-1 4.685698-6 3.842290-1 4.710853-6 3.179830-1 4.729439-6 2.889232-1 4.743582-6 2.835153-1 4.762153-6 2.966871-1 4.823136-6 3.895412-1 4.847126-6 5.492926-1 4.859164-6 6.884848-1 4.871386-6 9.001723-1 4.890820-6 1.360379+0 4.911488-6 1.880947+0 4.920654-6 2.057881+0 4.931568-6 2.184765+0 4.943141-6 2.196789+0 4.956328-6 2.047616+0 4.972172-6 1.715682+0 4.996125-6 1.125447+0 5.002436-6 9.874314-1 5.012991-6 7.920941-1 5.025240-6 6.291026-1 5.036191-6 5.273767-1 5.060024-6 4.106581-1 5.086826-6 4.217434-1 5.111577-6 4.865260-1 5.125152-6 5.485821-1 5.138208-6 6.357421-1 5.159053-6 8.288051-1 5.180308-6 1.047087+0 5.190148-6 1.128384+0 5.201044-6 1.188014+0 5.213297-6 1.203449+0 5.230528-6 1.128659+0 5.255630-6 9.337357-1 5.274915-6 7.875723-1 5.286775-6 7.378385-1 5.299369-6 7.244354-1 5.319023-6 7.678257-1 5.349139-6 8.766421-1 5.361958-6 9.060704-1 5.388743-6 8.982289-1 5.425250-6 8.569879-1 5.600000-6 8.463816-1 5.685381-6 8.359513-1 5.763723-6 8.519733-1 6.717599-6 8.954468-1 8.934166-6 1.125760+0 1.100239-5 1.340780+0 1.105655-5 2.164950+0 1.108533-5 2.908808+0 1.111241-5 3.961648+0 1.114061-5 5.463745+0 1.122073-5 1.059941+1 1.125050-5 1.179331+1 1.127540-5 1.213917+1 1.130315-5 1.165281+1 1.133223-5 1.032490+1 1.140860-5 5.398662+0 1.143569-5 3.974802+0 1.146277-5 2.927457+0 1.149155-5 2.207138+0 1.154504-5 1.947037+0 1.157685-5 2.483253+0 1.160825-5 3.345019+0 1.163904-5 4.501637+0 1.171903-5 8.069081+0 1.174911-5 8.933005+0 1.177528-5 9.216372+0 1.180572-5 8.843790+0 1.183942-5 7.746925+0 1.191582-5 4.392265+0 1.194411-5 3.407722+0 1.197239-5 2.713250+0 1.200068-5 2.290105+0 1.205725-5 1.850560+0 1.211253-5 1.959256+0 1.215623-5 1.953309+0 1.221450-5 1.815062+0 1.230269-5 1.567202+0 1.236016-5 1.484116+0 1.244235-5 1.446058+0 1.438122-5 1.507927+0 1.454051-5 1.584860+0 1.469980-5 1.752918+0 1.477945-5 1.747250+0 1.498298-5 1.548068+0 1.510668-5 1.533662+0 1.557317-5 1.758616+0 1.571622-5 1.694343+0 1.587606-5 1.608977+0 1.611190-5 1.625916+0 1.686141-5 1.620678+0 2.018366-5 1.477816+0 2.439163-5 1.280902+0 2.451170-5 3.250544+0 2.457174-5 4.880138+0 2.463178-5 7.352059+0 2.469182-5 1.073329+1 2.473586-5 1.376220+1 2.485763-5 3.990162+1 2.491851-5 5.757865+1 2.497939-5 8.103643+1 2.507361-5 1.296027+2 2.519838-5 1.984018+2 2.523590-5 2.161346+2 2.530347-5 2.344865+2 2.536067-5 2.357810+2 2.541777-5 2.223775+2 2.548308-5 1.912803+2 2.564912-5 8.728254+1 2.571001-5 5.678468+1 2.577089-5 3.433863+1 2.583177-5 1.944510+1 2.592310-5 5.862514+0 2.595354-5 1.232914+0 2.752969-5 1.202667+0 2.766521-5 1.426170+0 2.773297-5 1.611483+0 2.780073-5 1.892885+0 2.788544-5 2.395592+0 2.807715-5 3.741346+0 2.817380-5 4.263395+0 2.824464-5 4.489965+0 2.839159-5 4.637543+0 2.848908-5 4.972126+0 2.860760-5 5.764330+0 2.874754-5 6.796298+0 2.883409-5 7.020376+0 2.893363-5 6.786829+0 2.897160-5 6.630411+0 2.911670-5 1.591815+1 2.918782-5 2.386013+1 2.926624-5 3.783414+1 2.934466-5 5.710181+1 2.954964-5 1.162844+2 2.963549-5 1.305951+2 2.970668-5 1.328434+2 2.977310-5 1.263317+2 2.985323-5 1.085516+2 3.005192-5 5.097416+1 3.011540-5 3.596886+1 3.018590-5 2.372143+1 3.025739-5 1.548681+1 3.039790-5 5.450629+0 3.210966-5 5.042891+0 3.242580-5 5.217773+0 3.268461-5 5.695282+0 3.326956-5 7.084376+0 3.342313-5 7.499242+0 3.358976-5 7.556870+0 3.391042-5 7.001397+0 3.503635-5 6.846341+0 3.635068-5 6.406337+0 3.996347-5 5.617565+0 4.377741-5 5.080143+0 4.773140-5 4.785450+0 5.098724-5 4.751947+0 5.186700-5 4.815306+0 5.297910-5 4.743692+0 6.008830-5 5.070661+0 7.680000-5 6.557137+0 9.903030-5 8.391986+0 1.233009-4 9.768127+0 1.359107-4 1.020227+1 1.367442-4 1.115461+1 1.374174-4 2.619170+1 1.377540-4 3.849685+1 1.380905-4 5.667204+1 1.384789-4 8.548290+1 1.394368-4 1.680667+2 1.398043-4 1.874124+2 1.401581-4 1.918702+2 1.405011-4 1.818139+2 1.408545-4 1.586924+2 1.417765-4 7.882200+1 1.421505-4 5.744465+1 1.424660-4 4.543562+1 1.428134-4 4.163682+1 1.431855-4 4.713838+1 1.435098-4 5.613904+1 1.445590-4 1.160972+2 1.449301-4 1.297599+2 1.452740-4 1.339498+2 1.456536-4 1.274257+2 1.459715-4 1.147792+2 1.469865-4 5.658873+1 1.473354-4 4.023728+1 1.476851-4 2.818777+1 1.480333-4 2.022293+1 1.487311-4 1.046746+1 1.511278-4 1.073374+1 1.534242-4 1.166339+1 1.563801-4 1.168832+1 1.597458-4 1.269334+1 1.726000-4 1.337428+1 2.121871-4 1.156279+1 2.426610-4 1.116911+1 2.674920-4 1.114931+1 2.702845-4 1.154926+1 2.736019-4 1.270942+1 2.757288-4 1.273257+1 2.802836-4 1.232299+1 3.043813-4 1.260586+1 3.218840-4 1.285076+1 3.738526-4 1.295947+1 3.816022-4 1.343198+1 5.401321-4 1.243344+1 9.022201-4 9.245507+0 1.155079-3 7.554617+0 1.160765-3 1.243309+1 1.163608-3 1.648871+1 1.166452-3 2.263560+1 1.169494-3 3.175438+1 1.177559-3 6.146797+1 1.181009-3 7.003292+1 1.183887-3 7.241087+1 1.186766-3 7.064005+1 1.189714-3 6.550425+1 1.195080-3 5.294238+1 1.197725-3 4.885623+1 1.200727-3 4.781486+1 1.203714-3 5.028789+1 1.209902-3 6.015887+1 1.215012-3 6.462007+1 1.217959-3 6.345691+1 1.220906-3 5.935253+1 1.229386-3 4.180181+1 1.232332-3 3.711559+1 1.235096-3 3.400169+1 1.238013-3 3.202786+1 1.243849-3 2.985083+1 1.261292-3 3.099897+1 1.330646-3 3.192363+1 1.410806-3 3.075687+1 1.509106-3 2.842464+1 1.521051-3 2.929946+1 1.541550-3 3.176565+1 1.630032-3 2.929444+1 1.664198-3 2.911111+1 1.691847-3 2.983030+1 1.833588-3 2.683125+1 1.894610-3 2.681477+1 2.264719-3 2.127661+1 2.676086-3 1.694059+1 3.101889-3 1.371984+1 3.574817-3 1.115464+1 4.105590-3 9.070520+0 4.684088-3 7.418852+0 5.328135-3 6.078601+0 6.137244-3 4.867281+0 7.021276-3 3.927951+0 7.065877-3 3.902214+0 7.116032-3 4.092374+0 7.142909-3 4.435431+0 7.171001-3 5.095280+0 7.197425-3 6.020045+0 7.254824-3 8.385929+0 7.293917-3 9.480515+0 7.335675-3 9.951672+0 7.476081-3 9.852780+0 7.804043-3 9.311289+0 7.868328-3 9.721584+0 7.980805-3 1.151305+1 8.051313-3 1.190884+1 8.267141-3 1.173133+1 8.433494-3 1.268059+1 8.789184-3 1.208341+1 1.014587-2 9.651577+0 1.169205-2 7.681808+0 1.331851-2 6.210843+0 1.525253-2 4.958495+0 1.720196-2 4.051298+0 1.945792-2 3.282551+0 2.225308-2 2.605703+0 2.457802-2 2.191936+0 2.765327-2 1.783070+0 3.119303-2 1.441527+0 3.506746-2 1.170522+0 3.944903-2 9.484816-1 4.467049-2 7.580971-1 4.906525-2 6.437707-1 4.933194-2 6.619993-1 4.950483-2 7.094110-1 4.964182-2 7.879468-1 4.978093-2 9.225656-1 4.989762-2 1.087311+0 5.003948-2 1.353607+0 5.028037-2 1.924006+0 5.059266-2 2.648543+0 5.080502-2 2.980525+0 5.106326-2 3.183684+0 5.142702-2 3.243517+0 6.061652-2 2.498604+0 6.934883-2 2.003577+0 7.791362-2 1.645352+0 8.866446-2 1.317838+0 9.988631-2 1.071300+0 1.127685-1 8.661207-1 1.255575-1 7.161049-1 1.406106-1 5.853356-1 1.554119-1 4.898185-1 1.727389-1 4.060660-1 1.926677-1 3.344626-1 2.157376-1 2.736725-1 2.411471-1 2.252061-1 2.693883-1 1.858720-1 3.019273-1 1.531410-1 3.373540-1 1.273748-1 3.811689-1 1.045362-1 4.290422-1 8.687350-2 4.842905-1 7.238247-2 5.498375-1 6.030399-2 6.220123-1 5.096850-2 7.013544-1 4.368442-2 7.966178-1 3.749069-2 9.120713-1 3.216948-2 1.070165+0 2.712407-2 1.286622+0 2.212651-2 1.546860+0 1.804974-2 1.859734+0 1.472411-2 2.235892+0 1.201122-2 2.688134+0 9.798177-3 3.231848+0 7.992881-3 3.885536+0 6.520208-3 4.671441+0 5.318872-3 5.616308+0 4.338880-3 6.752287+0 3.539449-3 8.118035+0 2.887312-3 9.760024+0 2.355330-3 1.000000+1 4.836012-3 1 64000 7 0 1.572500+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-6.361164+1 1.830695-6-6.137634+1 1.901606-6-5.948820+1 1.935203-6-6.390491+1 2.055839-6-6.021040+1 2.093102-6-6.241797+1 2.370434-6-5.662700+1 2.456283-6-5.241043+1 2.500866-6-4.749454+1 2.521377-6-4.281781+1 2.529695-6-3.909112+1 2.548374-6-2.909385+1 2.556741-6-2.487256+1 2.562968-6-2.344350+1 2.568611-6-2.433486+1 2.572405-6-2.638326+1 2.578194-6-3.190184+1 2.585478-6-4.280133+1 2.597117-6-6.403489+1 2.600504-6-5.790788+1 2.606851-6-4.908573+1 2.613291-6-4.364212+1 2.619590-6-4.185610+1 2.626206-6-4.304845+1 2.635546-6-4.792611+1 2.662903-6-6.410714+1 2.705754-6-4.780833+1 2.717439-6-4.133975+1 2.723588-6-3.621639+1 2.727324-6-3.170051+1 2.737319-6-2.264043+1 2.746855-6-1.219066+1 2.750981-6-8.579048+0 2.751989-6-7.408507+0 2.752775-6-6.736526+0 2.754151-6-5.842742+0 2.759115-6-3.509108+0 2.760582-6-3.331658+0 2.761683-6-3.421928+0 2.763333-6-3.832446+0 2.764984-6-4.463687+0 2.765822-6-4.882998+0 2.767289-6-5.966753+0 2.768389-6-7.005384+0 2.769214-6-7.909321+0 2.771071-6-1.037740+1 2.774624-6-1.661316+1 2.777336-6-2.249497+1 2.783777-6-4.095390+1 2.789389-6-6.067241+1 2.790422-6-6.396781+1 2.792295-6-5.623465+1 2.799894-6-2.912413+1 2.806067-6-1.090041+1 2.807110-6-8.319354+0 2.808023-6-6.294631+0 2.809621-6-3.137221+0 2.810819-6-1.035612+0 2.812617-6 1.754064+0 2.814414-6 4.189501+0 2.815780-6 5.787044+0 2.816976-6 6.961809+0 2.819067-6 8.580449+0 2.820636-6 9.431711+0 2.821813-6 9.856167+0 2.823578-6 1.010409+1 2.824461-6 1.000829+1 2.828696-6 8.185379+0 2.830373-6 7.299013+0 2.831211-6 6.706335+0 2.832888-6 4.977200+0 2.835822-6 2.574401+0 2.837289-6 1.277269+0 2.838023-6 5.357479-1 2.838756-6-3.920672-1 2.845463-6-7.385803+0 2.846101-6-8.170455+0 2.847298-6-9.374806+0 2.857275-6-1.810987+1 2.860139-6-2.170431+1 2.864269-6-2.520576+1 2.872865-6-3.015160+1 2.886618-6-3.536654+1 2.910686-6-4.100503+1 2.950095-6-4.623141+1 3.014419-6-5.071655+1 3.153469-6-5.506515+1 3.496650-6-5.872973+1 4.190311-6-6.206394+1 4.317688-6-6.435207+1 4.364450-6-6.090890+1 4.408624-6-5.700454+1 4.582916-6-6.033113+1 4.918363-6-6.169802+1 5.010006-6-6.021549+1 5.201044-6-6.131276+1 1.052745-5-6.388967+1 1.093690-5-6.241501+1 1.116162-5-5.822843+1 1.123342-5-6.111808+1 1.127419-5-6.370186+1 1.135783-5-5.822044+1 1.143399-5-5.827139+1 1.160535-5-6.379252+1 1.169927-5-6.362661+1 1.173723-5-6.302658+1 1.185774-5-5.723563+1 1.195118-5-5.725178+1 1.215623-5-5.978985+1 1.326659-5-6.205476+1 1.653613-5-6.343597+1 2.037617-5-5.841072+1 2.198803-5-5.350966+1 2.295736-5-4.751533+1 2.344229-5-4.220343+1 2.377458-5-3.658518+1 2.402992-5-3.011047+1 2.417961-5-2.474706+1 2.430218-5-1.883719+1 2.437486-5-1.419381+1 2.445167-5-7.971420+0 2.448169-5-5.415929+0 2.449670-5-4.044428+0 2.451170-5-2.552655+0 2.454172-5 5.465622-1 2.455673-5 2.159209+0 2.460176-5 7.531375+0 2.463178-5 1.144735+1 2.467681-5 1.797756+1 2.471384-5 2.451022+1 2.473035-5 2.815261+1 2.474704-5 3.286465+1 2.476086-5 3.569221+1 2.492612-5 6.254660+1 2.498848-5 6.986592+1 2.501628-5 7.074142+1 2.505954-5 6.933887+1 2.509670-5 6.410737+1 2.512969-5 5.610003+1 2.516018-5 4.566341+1 2.519838-5 2.764471+1 2.521315-5 1.981215+1 2.522265-5 1.423619+1 2.522977-5 9.554422+0 2.523590-5 4.885313+0 2.527108-5-1.867251+1 2.528328-5-2.760667+1 2.529163-5-3.466206+1 2.530022-5-4.233750+1 2.532924-5-6.423450+1 2.535128-5-4.604390+1 2.536067-5-3.727317+1 2.537550-5-2.571665+1 2.540300-5-5.436834+0 2.540763-5-1.829479+0 2.540994-5 7.851170-2 2.541413-5 3.975788+0 2.541777-5 6.913995+0 2.542459-5 1.190295+1 2.544099-5 2.264763+1 2.548308-5 4.803303+1 2.550463-5 5.813798+1 2.553984-5 7.140599+1 2.557759-5 8.014854+1 2.561720-5 8.323426+1 2.564912-5 8.222473+1 2.570239-5 7.577819+1 2.577089-5 6.056156+1 2.585291-5 4.052127+1 2.592310-5 2.661026+1 2.594593-5 2.130706+1 2.595711-5 1.763888+1 2.596419-5 1.571997+1 2.597813-5 1.260230+1 2.599163-5 1.001153+1 2.600471-5 7.761080+0 2.601739-5 5.764334+0 2.604194-5 2.289876+0 2.606496-5-5.997263-1 2.608654-5-3.053845+0 2.610677-5-5.168798+0 2.612574-5-7.011751+0 2.616130-5-1.015921+1 2.621965-5-1.462629+1 2.631644-5-2.065396+1 2.644275-5-2.678268+1 2.660725-5-3.291067+1 2.686719-5-4.013761+1 2.752969-5-5.322705+1 2.817380-5-6.449727+1 2.826635-5-6.519127+1 2.864469-5-5.656293+1 2.884679-5-4.989416+1 2.893363-5-4.470491+1 2.912202-5-2.585381+1 2.918228-5-1.937754+1 2.920160-5-1.685570+1 2.926144-5-1.126645+1 2.926624-5-1.068034+1 2.927525-5-9.925254+0 2.929101-5-8.991380+0 2.934466-5-7.099496+0 2.935700-5-7.067544+0 2.936857-5-7.297280+0 2.938958-5-8.209117+0 2.940864-5-9.527782+0 2.942568-5-1.108687+1 2.945269-5-1.428490+1 2.948247-5-1.893812+1 2.950925-5-2.430137+1 2.953497-5-3.096948+1 2.954964-5-3.611860+1 2.961259-5-5.637271+1 2.963891-5-6.736493+1 2.969356-5-4.649055+1 2.971412-5-3.766544+1 2.976374-5-1.940969+1 2.977310-5-1.536796+1 2.978915-5-9.836174+0 2.980226-5-5.781737+0 2.982191-5-8.525694-2 2.983666-5 4.157262+0 2.984554-5 7.036195+0 2.985323-5 9.134556+0 2.986765-5 1.253082+1 2.989131-5 1.715336+1 2.992512-5 2.223314+1 2.995773-5 2.565844+1 3.000505-5 2.825645+1 3.004020-5 2.853801+1 3.009953-5 2.553088+1 3.017819-5 1.797401+1 3.024756-5 1.004900+1 3.026617-5 7.841762+0 3.028263-5 6.135206+0 3.034027-5 8.935854-1 3.036909-5-1.836821+0 3.038349-5-3.379880+0 3.039070-5-4.257711+0 3.040209-5-6.053025+0 3.040993-5-7.047965+0 3.042366-5-8.499410+0 3.044426-5-1.033328+1 3.048631-5-1.340016+1 3.054412-5-1.673660+1 3.064282-5-2.105727+1 3.080000-5-2.596050+1 3.100363-5-3.030889+1 3.130049-5-3.460594+1 3.187604-5-3.976308+1 3.275916-5-4.489253+1 3.342313-5-4.607373+1 3.418348-5-4.640487+1 3.996347-5-4.958095+1 5.800000-5-5.323085+1 1.078707-4-5.758851+1 1.171793-4-5.956152+1 1.248048-4-5.358310+1 1.288400-4-4.764759+1 1.315000-4-4.098992+1 1.330379-4-3.498469+1 1.339862-4-2.977140+1 1.347826-4-2.386635+1 1.353555-4-1.821105+1 1.357025-4-1.387464+1 1.359107-4-1.074386+1 1.360780-4-7.911390+0 1.362453-4-4.800813+0 1.363289-4-3.089056+0 1.364543-4-2.541451-1 1.365171-4 1.319922+0 1.365798-4 3.043715+0 1.366620-4 5.583921+0 1.367237-4 7.866425+0 1.367655-4 9.916200+0 1.368027-4 1.137236+1 1.369143-4 1.509526+1 1.373702-4 2.871101+1 1.377960-4 4.399011+1 1.382062-4 5.551070+1 1.385275-4 5.929632+1 1.387679-4 5.658944+1 1.389357-4 5.203286+1 1.391209-4 4.436201+1 1.392560-4 3.647110+1 1.393916-4 2.646593+1 1.394579-4 2.019580+1 1.396157-4 6.243152+0 1.396551-4 2.596838+0 1.396847-4-2.521531-1 1.397290-4-4.803987+0 1.397623-4-8.624590+0 1.397839-4-1.161332+1 1.398425-4-1.827871+1 1.400677-4-4.228899+1 1.401759-4-5.605401+1 1.401993-4-5.859544+1 1.404405-4-3.321153+1 1.404823-4-2.811437+1 1.405672-4-1.992389+1 1.407832-4-1.650392+0 1.407982-4-2.229356-1 1.408272-4 2.097326+0 1.408545-4 4.051866+0 1.409056-4 7.342437+0 1.409503-4 9.909117+0 1.409894-4 1.195280+1 1.410578-4 1.512703+1 1.411092-4 1.720071+1 1.411862-4 1.985603+1 1.413244-4 2.335227+1 1.414248-4 2.478738+1 1.415069-4 2.525090+1 1.416145-4 2.478276+1 1.417010-4 2.326444+1 1.417529-4 2.133350+1 1.418206-4 1.871205+1 1.419750-4 1.397435+1 1.420523-4 1.125004+1 1.421102-4 8.763591+0 1.421505-4 6.491073+0 1.423083-4-6.033764-1 1.423872-4-4.349540+0 1.424266-4-6.455158+0 1.424562-4-8.274156+0 1.424660-4-9.036590+0 1.428134-4-2.855396+1 1.429231-4-3.446341+1 1.432876-4-5.076203+1 1.434797-4-5.849382+1 1.435864-4-5.359011+1 1.437856-4-4.963560+1 1.440000-4-4.897729+1 1.442343-4-5.164102+1 1.444589-4-5.780378+1 1.444760-4-5.846652+1 1.448314-4-4.027047+1 1.449691-4-3.063739+1 1.451396-4-1.981026+1 1.452164-4-1.437499+1 1.452529-4-1.111238+1 1.452740-4-9.414060+0 1.453136-4-6.533292+0 1.453830-4-1.872710+0 1.454869-4 4.859242+0 1.455649-4 1.016933+1 1.456127-4 1.406216+1 1.456536-4 1.686264+1 1.457252-4 2.121748+1 1.459715-4 3.517167+1 1.460829-4 4.028118+1 1.462422-4 4.581193+1 1.465144-4 5.220320+1 1.467874-4 5.492032+1 1.469865-4 5.401631+1 1.472918-4 4.974764+1 1.476851-4 4.065850+1 1.482118-4 2.770234+1 1.486419-4 1.872682+1 1.487311-4 1.620080+1 1.487616-4 1.519677+1 1.488531-4 1.297643+1 1.489438-4 1.115501+1 1.490799-4 8.794470+0 1.492159-4 6.731150+0 1.494157-4 4.078268+0 1.496154-4 1.751953+0 1.498861-4-1.001851+0 1.501567-4-3.396629+0 1.503577-4-4.996388+0 1.507202-4-7.585058+0 1.511278-4-1.010550+1 1.517628-4-1.338393+1 1.526769-4-1.696221+1 1.538609-4-2.019159+1 1.563801-4-2.544302+1 1.582747-4-2.823047+1 1.632212-4-3.181991+1 1.702283-4-3.432099+1 1.961867-4-3.649951+1 2.810139-4-3.903112+1 3.069088-4-3.762891+1 3.766831-4-3.551160+1 4.915796-4-3.210351+1 6.425737-4-3.003570+1 8.013793-4-2.969890+1 9.495110-4-3.113158+1 1.050147-3-3.374573+1 1.110843-3-3.683590+1 1.154319-3-4.109183+1 1.173134-3-4.472507+1 1.197725-3-5.358159+1 1.208581-3-5.308704+1 1.240938-3-4.688672+1 1.261292-3-4.175463+1 1.292746-3-3.726517+1 1.348963-3-3.149341+1 1.410806-3-2.697967+1 1.467975-3-2.458878+1 1.513181-3-2.418925+1 1.541550-3-2.492419+1 1.583058-3-2.155017+1 1.630032-3-1.955752+1 1.664198-3-1.893391+1 1.691847-3-1.854732+1 1.731459-3-1.666032+1 1.797683-3-1.485831+1 1.868108-3-1.401111+1 1.931777-3-1.210523+1 2.030746-3-1.032676+1 2.161573-3-8.695860+0 2.308701-3-7.406362+0 2.488320-3-6.303746+0 2.676086-3-5.502073+0 2.895468-3-4.905997+0 3.219678-3-4.426638+0 3.574817-3-4.214061+0 4.105590-3-4.267394+0 4.684088-3-4.601447+0 5.328135-3-5.221791+0 5.966105-3-6.143495+0 6.423327-3-7.155520+0 6.737632-3-8.248376+0 6.929692-3-9.325286+0 7.054450-3-1.051364+1 7.133419-3-1.194877+1 7.211961-3-1.382428+1 7.254824-3-1.403319+1 7.311310-3-1.302464+1 7.389261-3-1.126736+1 7.476081-3-1.021366+1 7.602699-3-9.511131+0 7.740444-3-9.357168+0 7.828267-3-9.728088+0 7.930119-3-1.041395+1 7.980805-3-1.018850+1 8.110478-3-8.639329+0 8.199597-3-8.134637+0 8.350620-3-7.891209+0 8.471265-3-6.802473+0 8.592609-3-5.860734+0 8.789184-3-4.898000+0 9.047961-3-4.017441+0 9.353562-3-3.243449+0 9.730273-3-2.542449+0 1.014587-2-1.974961+0 1.059825-2-1.511411+0 1.100653-2-1.189065+0 1.145175-2-9.223102-1 1.185144-2-7.354666-1 1.235592-2-5.592644-1 1.280053-2-4.384020-1 1.331851-2-3.281358-1 1.373048-2-2.635821-1 1.424983-2-2.008189-1 1.471559-2-1.638235-1 1.502709-2-1.459678-1 1.542075-2-1.288643-1 1.582614-2-1.177551-1 1.630760-2-1.140239-1 1.672775-2-1.149195-1 1.747834-2-1.248233-1 1.819701-2-1.445051-1 1.945792-2-1.934662-1 2.132585-2-2.870154-1 2.657365-2-5.837497-1 3.641942-2-1.158514+0 4.073803-2-1.464503+0 4.382286-2-1.762179+0 4.599953-2-2.071952+0 4.743597-2-2.386069+0 4.844764-2-2.739177+0 4.906525-2-3.101190+0 4.950483-2-3.556045+0 5.008951-2-4.348020+0 5.035203-2-4.420635+0 5.066027-2-4.128841+0 5.123924-2-3.250581+0 5.160791-2-2.865882+0 5.205502-2-2.554431+0 5.287834-2-2.167828+0 5.393033-2-1.837303+0 5.528841-2-1.533484+0 5.688530-2-1.273176+0 5.926520-2-1.004887+0 6.157974-2-8.223600-1 6.385816-2-6.864902-1 6.604744-2-5.854074-1 6.934883-2-4.681173-1 7.261321-2-3.849891-1 7.598575-2-3.234528-1 7.976824-2-2.737457-1 8.395808-2-2.367866-1 8.866446-2-2.100502-1 9.470492-2-1.911055-1 9.988631-2-1.843106-1 1.076061-1-1.852676-1 1.214868-1-2.010502-1 1.794669-1-3.061521-1 2.316613-1-3.747800-1 3.019273-1-4.320639-1 4.121981-1-4.800282-1 6.220123-1-5.176867-1 1.120601+0-5.401326-1 3.414075+0-5.493940-1 1.000000+1-5.505064-1 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.494087-1 1.047119-6 1.865227-1 1.081237-6 2.182337-1 1.113222-6 2.522787-1 1.171320-6 3.267473-1 1.222383-6 4.084832-1 1.288978-6 5.450458-1 1.326981-6 6.409092-1 1.360234-6 7.381047-1 1.389329-6 8.349728-1 1.414788-6 9.300992-1 1.437065-6 1.023059+0 1.476049-6 1.207981+0 1.505287-6 1.367918+0 1.527215-6 1.503304+0 1.560108-6 1.733566+0 1.608684-6 2.140131+0 1.647894-6 2.546803+0 1.671420-6 2.832668+0 1.694241-6 3.143991+0 1.714209-6 3.447281+0 1.731681-6 3.741885+0 1.762257-6 4.326285+0 1.785190-6 4.831655+0 1.802389-6 5.259010+0 1.828188-6 5.987032+0 1.863113-6 7.162802+0 1.890493-6 8.289019+0 1.917873-6 9.645674+0 1.940690-6 1.099878+1 1.965747-6 1.277346+1 1.984960-6 1.438116+1 2.002972-6 1.613221+1 2.019858-6 1.803548+1 2.035688-6 2.009844+1 2.050530-6 2.232828+1 2.064443-6 2.473234+1 2.077488-6 2.731808+1 2.089716-6 3.009282+1 2.101181-6 3.306364+1 2.111929-6 3.623734+1 2.122005-6 3.962054+1 2.131452-6 4.321965+1 2.140308-6 4.704095+1 2.148610-6 5.109068+1 2.156394-6 5.537519+1 2.163691-6 5.990108+1 2.170532-6 6.467510+1 2.176946-6 6.970386+1 2.182959-6 7.499364+1 2.188596-6 8.055053+1 2.193880-6 8.638101+1 2.198835-6 9.249285+1 2.207834-6 1.056041+2 2.215998-6 1.205262+2 2.223142-6 1.370121+2 2.229393-6 1.552462+2 2.234862-6 1.753264+2 2.239648-6 1.971888+2 2.243836-6 2.205837+2 2.247500-6 2.451056+2 2.250706-6 2.702577+2 2.253512-6 2.955207+2 2.258114-6 3.445175+2 2.261873-6 3.923988+2 2.274810-6 6.199699+2 2.278744-6 7.090632+2 2.281542-6 7.774659+2 2.284339-6 8.494450+2 2.289935-6 1.000922+3 2.290634-6 1.020254+3 2.295530-6 1.155197+3 2.297453-6 1.206968+3 2.301125-6 1.301368+3 2.303048-6 1.347511+3 2.304884-6 1.388810+3 2.306720-6 1.426975+3 2.309168-6 1.472244+3 2.311528-6 1.509005+3 2.313714-6 1.536336+3 2.315549-6 1.553916+3 2.317910-6 1.568874+3 2.321057-6 1.574823+3 2.323680-6 1.567241+3 2.324654-6 1.561511+3 2.326877-6 1.542587+3 2.329360-6 1.512088+3 2.331329-6 1.481174+3 2.333967-6 1.431101+3 2.336377-6 1.377428+3 2.338043-6 1.336406+3 2.340465-6 1.271810+3 2.342238-6 1.221335+3 2.344859-6 1.142804+3 2.347197-6 1.069927+3 2.349673-6 9.909503+2 2.351480-6 9.328528+2 2.353928-6 8.544118+2 2.355895-6 7.922232+2 2.357075-6 7.554981+2 2.359873-6 6.708607+2 2.362321-6 6.003077+2 2.363020-6 5.808512+2 2.366298-6 4.943351+2 2.368265-6 4.464474+2 2.374210-6 3.218892+2 2.380854-6 2.202365+2 2.383280-6 1.929565+2 2.385205-6 1.749547+2 2.386823-6 1.622559+2 2.388200-6 1.531776+2 2.389584-6 1.456253+2 2.390701-6 1.406618+2 2.391433-6 1.379594+2 2.392155-6 1.357087+2 2.392866-6 1.338991+2 2.393567-6 1.325097+2 2.394256-6 1.315203+2 2.415968-6 3.065533+2 2.423134-6 4.769136+2 2.426543-6 5.857644+2 2.429153-6 6.831478+2 2.432884-6 8.456303+2 2.435656-6 9.856243+2 2.438594-6 1.153046+3 2.441772-6 1.357425+3 2.443680-6 1.491943+3 2.446680-6 1.721751+3 2.449680-6 1.973594+3 2.456055-6 2.577117+3 2.457461-6 2.721387+3 2.460625-6 3.057984+3 2.462758-6 3.292530+3 2.463988-6 3.429953+3 2.467680-6 3.847683+3 2.470727-6 4.193257+3 2.473680-6 4.522708+3 2.476727-6 4.850610+3 2.479680-6 5.150536+3 2.482305-6 5.397417+3 2.485205-6 5.643518+3 2.486055-6 5.709588+3 2.489571-6 5.950423+3 2.492316-6 6.098647+3 2.495514-6 6.223252+3 2.498114-6 6.284418+3 2.503868-6 6.288371+3 2.505508-6 6.256587+3 2.510055-6 6.095959+3 2.512912-6 5.944334+3 2.515680-6 5.764083+3 2.518727-6 5.532574+3 2.521680-6 5.280345+3 2.524305-6 5.037688+3 2.526836-6 4.791142+3 2.530680-6 4.401207+3 2.533680-6 4.090527+3 2.537055-6 3.741408+3 2.539680-6 3.474194+3 2.545680-6 2.892219+3 2.547743-6 2.704718+3 2.551680-6 2.368393+3 2.556930-6 1.968302+3 2.563415-6 1.553590+3 2.573352-6 1.078575+3 2.576166-6 9.750915+2 2.578970-6 8.837469+2 2.581763-6 8.033282+2 2.584545-6 7.326620+2 2.587316-6 6.706358+2 2.590076-6 6.162133+2 2.595574-6 5.263094+2 2.601030-6 4.566414+2 2.606443-6 4.020468+2 2.611814-6 3.586119+2 2.617143-6 3.234509+2 2.622430-6 2.944758+2 2.627676-6 2.701907+2 2.632881-6 2.495251+2 2.638045-6 2.317070+2 2.643169-6 2.161719+2 2.653337-6 1.902777+2 2.663346-6 1.696473+2 2.673198-6 1.528330+2 2.682897-6 1.388840+2 2.692444-6 1.271461+2 2.701841-6 1.171508+2 2.711092-6 1.085527+2 2.720199-6 1.010905+2 2.729163-6 9.456215+1 2.737987-6 8.880836+1 2.755359-6 7.907366+1 2.772189-6 7.124124+1 2.788493-6 6.482163+1 2.804287-6 5.948253+1 2.819587-6 5.498623+1 2.834410-6 5.115856+1 2.848769-6 4.786910+1 2.862679-6 4.501616+1 2.889631-6 4.024511+1 2.914898-6 3.649234+1 2.938586-6 3.348057+1 2.960793-6 3.102332+1 2.981613-6 2.899031+1 3.001131-6 2.728699+1 3.037728-6 2.451384+1 3.072000-6 2.230912+1 3.097769-6 2.085961+1 3.122286-6 1.962470+1 3.165191-6 1.773048+1 3.197369-6 1.649328+1 3.245637-6 1.487559+1 3.334442-6 1.243410+1 3.456055-6 9.869424+0 3.573600-6 7.807720+0 3.625629-6 6.933693+0 3.676729-6 6.054343+0 3.697594-6 5.675630+0 3.715852-6 5.328419+0 3.731827-6 5.008412+0 3.745805-6 4.712535+0 3.758036-6 4.438521+0 3.768738-6 4.184738+0 3.786297-6 3.733926+0 3.800636-6 3.329360+0 3.811390-6 3.005067+0 3.819456-6 2.753601+0 3.825505-6 2.563688+0 3.833445-6 2.319151+0 3.846019-6 1.971055+0 3.853114-6 1.818450+0 3.857844-6 1.744943+0 3.860210-6 1.718927+0 3.862575-6 1.701194+0 3.869670-6 1.706956+0 3.872035-6 1.731852+0 3.873218-6 1.749201+0 3.877357-6 1.838035+0 3.879426-6 1.900227+0 3.881496-6 1.975321+0 3.882679-6 2.024335+0 3.886818-6 2.233332+0 3.889922-6 2.431236+0 3.893529-6 2.709573+0 3.897341-6 3.064725+0 3.902034-6 3.595014+0 3.915989-6 5.851328+0 3.921753-6 7.104191+0 3.926648-6 8.319544+0 3.933014-6 1.010296+1 3.937102-6 1.136244+1 3.941862-6 1.293083+1 3.946350-6 1.449744+1 3.950520-6 1.601547+1 3.954796-6 1.761889+1 3.959237-6 1.931443+1 3.960987-6 1.998614+1 3.965779-6 2.182108+1 3.970234-6 2.349903+1 3.975663-6 2.546880+1 3.980156-6 2.700570+1 3.981878-6 2.756657+1 3.987774-6 2.934419+1 3.990339-6 3.003938+1 3.999324-6 3.203989+1 4.003978-6 3.278308+1 4.007698-6 3.322413+1 4.012759-6 3.360159+1 4.017472-6 3.372349+1 4.021321-6 3.366310+1 4.026372-6 3.337624+1 4.031243-6 3.289256+1 4.035264-6 3.235486+1 4.037662-6 3.198056+1 4.044850-6 3.065239+1 4.047246-6 3.015162+1 4.054434-6 2.852025+1 4.056830-6 2.794402+1 4.066415-6 2.555636+1 4.075999-6 2.316095+1 4.096206-6 1.862175+1 4.103717-6 1.720828+1 4.110992-6 1.599553+1 4.118040-6 1.496340+1 4.124868-6 1.408843+1 4.138097-6 1.269819+1 4.150499-6 1.168957+1 4.162126-6 1.093628+1 4.173027-6 1.035403+1 4.193465-6 9.482458+0 4.211348-6 8.874009+0 4.242644-6 8.011732+0 4.289588-6 6.972139+0 4.336551-6 6.041210+0 4.347225-6 5.825255+0 4.357899-6 5.602068+0 4.368573-6 5.369196+0 4.379247-6 5.125191+0 4.389921-6 4.870627+0 4.405777-6 4.482432+0 4.424810-6 4.046014+0 4.430587-6 3.934206+0 4.439314-6 3.797588+0 4.446934-6 3.720478+0 4.449475-6 3.705401+0 4.460373-6 3.712374+0 4.463263-6 3.735876+0 4.471934-6 3.866820+0 4.474652-6 3.927324+0 4.478729-6 4.035906+0 4.482807-6 4.165884+0 4.488555-6 4.384773+0 4.495010-6 4.677655+0 4.505600-6 5.251291+0 4.515427-6 5.858317+0 4.524941-6 6.476738+0 4.526300-6 6.565175+0 4.537173-6 7.250285+0 4.538532-6 7.331359+0 4.548047-6 7.854160+0 4.550765-6 7.986287+0 4.558920-6 8.327098+0 4.561638-6 8.420560+0 4.566395-6 8.558262+0 4.569963-6 8.639371+0 4.575315-6 8.724924+0 4.580666-6 8.767453+0 4.586103-6 8.767966+0 4.591540-6 8.727818+0 4.599695-6 8.598534+0 4.602413-6 8.538967+0 4.613286-6 8.232867+0 4.623845-6 7.857394+0 4.629620-6 7.631093+0 4.640519-6 7.183691+0 4.658214-6 6.455924+0 4.672249-6 5.920553+0 4.683749-6 5.527861+0 4.695274-6 5.185503+0 4.706802-6 4.901813+0 4.718331-6 4.683839+0 4.729859-6 4.537495+0 4.735624-6 4.492380+0 4.741388-6 4.466109+0 4.747152-6 4.458365+0 4.751475-6 4.464296+0 4.757960-6 4.490938+0 4.764445-6 4.536901+0 4.773091-6 4.623221+0 4.799030-6 4.966966+0 4.813441-6 5.138668+0 4.822087-6 5.212614+0 4.831738-6 5.261093+0 4.836344-6 5.270558+0 4.843254-6 5.268158+0 4.850163-6 5.246818+0 4.856844-6 5.210053+0 4.868201-6 5.118587+0 4.880462-6 4.994274+0 4.897077-6 4.817984+0 4.918161-6 4.635071+0 4.927831-6 4.575768+0 4.933873-6 4.546589+0 4.945958-6 4.503634+0 4.974046-6 4.447640+0 5.004598-6 4.383275+0 5.038010-6 4.275630+0 5.117158-6 3.997058+0 5.173802-6 3.792845+0 5.213602-6 3.628235+0 5.278540-6 3.340020+0 5.352816-6 3.031778+0 5.382317-6 2.907069+0 5.402542-6 2.818140+0 5.433700-6 2.675227+0 5.465097-6 2.524160+0 5.512192-6 2.284347+0 5.533598-6 2.169544+0 5.562328-6 2.008799+0 5.605423-6 1.751725+0 5.626971-6 1.615442+0 5.648519-6 1.473714+0 5.662422-6 1.379346+0 5.676325-6 1.282740+0 5.690228-6 1.184030+0 5.704131-6 1.083470+0 5.718034-6 9.814936-1 5.731938-6 8.788157-1 5.745841-6 7.766184-1 5.759744-6 6.768699-1 5.773647-6 5.828888-1 5.787550-6 5.003020-1 5.794502-6 4.660379-1 5.801453-6 4.385988-1 5.808405-6 4.201597-1 5.815356-6 4.134810-1 5.822308-6 4.220321-1 5.825784-6 4.333296-1 5.829259-6 4.501254-1 5.832735-6 4.731134-1 5.837949-6 5.208987-1 5.840556-6 5.515584-1 5.843162-6 5.872544-1 5.846638-6 6.434249-1 5.849245-6 6.925792-1 5.851200-6 7.337259-1 5.854133-6 8.028492-1 5.858803-6 9.330371-1 5.864729-6 1.138512+0 5.882713-6 2.117271+0 5.889461-6 2.659680+0 5.896810-6 3.386028+0 5.903344-6 4.166414+0 5.909772-6 5.072500+0 5.914058-6 5.759491+0 5.917189-6 6.305745+0 5.921885-6 7.198810+0 5.926581-6 8.184040+0 5.929585-6 8.864259+0 5.936343-6 1.054218+1 5.941210-6 1.187967+1 5.950159-6 1.462548+1 5.955755-6 1.652944+1 5.958738-6 1.760135+1 5.966568-6 2.059475+1 5.970301-6 2.210730+1 5.973284-6 2.335263+1 5.983142-6 2.766752+1 5.990066-6 3.084069+1 5.996778-6 3.398314+1 6.002971-6 3.690309+1 6.008974-6 3.971569+1 6.014960-6 4.246637+1 6.021267-6 4.526636+1 6.026324-6 4.740997+1 6.035020-6 5.081860+1 6.041826-6 5.318403+1 6.050627-6 5.577209+1 6.056502-6 5.716812+1 6.059549-6 5.778015+1 6.067016-6 5.894112+1 6.072492-6 5.947852+1 6.075382-6 5.965358+1 6.084960-6 5.969959+1 6.091885-6 5.923380+1 6.098596-6 5.840385+1 6.105983-6 5.709187+1 6.113142-6 5.546201+1 6.119506-6 5.375491+1 6.125642-6 5.191296+1 6.134960-6 4.882350+1 6.142233-6 4.623345+1 6.155188-6 4.141180+1 6.171324-6 3.538623+1 6.179506-6 3.244987+1 6.185869-6 3.025872+1 6.200415-6 2.563366+1 6.231805-6 1.776179+1 6.237859-6 1.657507+1 6.249210-6 1.461042+1 6.259142-6 1.314409+1 6.267833-6 1.203107+1 6.283042-6 1.040499+1 6.294448-6 9.404808+0 6.311558-6 8.171138+0 6.328668-6 7.170850+0 6.359822-6 5.722932+0 6.406554-6 4.013762+0 6.422131-6 3.516737+0 6.453286-6 2.662411+0 6.461074-6 2.496631+0 6.468863-6 2.360897+0 6.476651-6 2.263039+0 6.484440-6 2.212371+0 6.488819-6 2.208603+0 6.493198-6 2.225269+0 6.498649-6 2.277987+0 6.502737-6 2.343380+0 6.505803-6 2.408345+0 6.508103-6 2.466622+0 6.511121-6 2.556245+0 6.515002-6 2.694696+0 6.517619-6 2.803704+0 6.520795-6 2.953873+0 6.525335-6 3.204476+0 6.528253-6 3.389187+0 6.531172-6 3.593311+0 6.536638-6 4.030541+0 6.544821-6 4.827880+0 6.563853-6 7.411357+0 6.571427-6 8.741152+0 6.579145-6 1.027506+1 6.584727-6 1.149454+1 6.595641-6 1.412894+1 6.602938-6 1.605625+1 6.609061-6 1.776040+1 6.615506-6 1.962322+1 6.620784-6 2.118888+1 6.626967-6 2.305271+1 6.633721-6 2.510291+1 6.640771-6 2.722983+1 6.644117-6 2.822514+1 6.651721-6 3.043035+1 6.659023-6 3.244302+1 6.662816-6 3.343554+1 6.670656-6 3.534863+1 6.676832-6 3.670369+1 6.692398-6 3.941426+1 6.697566-6 4.006672+1 6.709025-6 4.104186+1 6.714628-6 4.127822+1 6.722636-6 4.134453+1 6.727783-6 4.122298+1 6.732931-6 4.097823+1 6.738583-6 4.057457+1 6.746001-6 3.984568+1 6.753155-6 3.894975+1 6.763557-6 3.735947+1 6.771575-6 3.594639+1 6.775584-6 3.519198+1 6.787611-6 3.279381+1 6.803647-6 2.944722+1 6.826022-6 2.491903+1 6.853124-6 2.024882+1 6.867718-6 1.823806+1 6.876057-6 1.725504+1 6.884396-6 1.638886+1 6.892735-6 1.563344+1 6.901074-6 1.498085+1 6.909414-6 1.442183+1 6.917753-6 1.394625+1 6.926092-6 1.354355+1 6.942770-6 1.291464+1 6.959448-6 1.245508+1 6.976126-6 1.209637+1 7.026161-6 1.117968+1 7.042839-6 1.085621+1 7.076196-6 1.017174+1 7.139948-6 8.927218+0 7.167064-6 8.488004+0 7.212860-6 7.879914+0 7.265990-6 7.333042+0 7.336830-6 6.764661+0 7.407670-6 6.307984+0 7.513930-6 5.749947+0 7.739182-6 4.803160+0 7.854881-6 4.322520+0 7.899182-6 4.110640+0 7.957510-6 3.834095+0 7.972375-6 3.776817+0 7.991902-6 3.719104+0 8.011429-6 3.687811+0 8.030956-6 3.688727+0 8.039923-6 3.700925+0 8.053373-6 3.733339+0 8.066824-6 3.782041+0 8.086913-6 3.881246+0 8.131477-6 4.164194+0 8.150964-6 4.285036+0 8.171381-6 4.390130+0 8.179483-6 4.423240+0 8.192000-6 4.463127+0 8.203790-6 4.487350+0 8.220578-6 4.498949+0 8.228912-6 4.494954+0 8.245751-6 4.468647+0 8.265278-6 4.411744+0 8.284805-6 4.333207+0 8.306860-6 4.227699+0 8.366408-6 3.918227+0 8.479752-6 3.415104+0 8.521495-6 3.266630+0 8.542367-6 3.203229+0 8.563239-6 3.149280+0 8.584111-6 3.106126+0 8.601703-6 3.078534+0 8.633011-6 3.047674+0 8.691305-6 3.022530+0 8.712697-6 3.009186+0 8.734090-6 2.986903+0 8.765029-6 2.935103+0 8.797872-6 2.858591+0 8.837597-6 2.760219+0 8.848494-6 2.737379+0 8.867159-6 2.706909+0 8.891692-6 2.688881+0 8.903963-6 2.690830+0 8.922370-6 2.708078+0 8.940778-6 2.741585+0 8.959834-6 2.790602+0 9.024561-6 2.998652+0 9.049738-6 3.063649+0 9.065019-6 3.091663+0 9.087941-6 3.114553+0 9.110863-6 3.113893+0 9.132439-6 3.093488+0 9.154014-6 3.057230+0 9.172957-6 3.015540+0 9.217658-6 2.896733+0 9.347466-6 2.550424+0 9.412634-6 2.407640+0 9.453201-6 2.337628+0 9.477641-6 2.305184+0 9.499033-6 2.283281+0 9.531234-6 2.260824+0 9.623558-6 2.227373+0 9.657250-6 2.208417+0 9.699147-6 2.172979+0 9.817944-6 2.045347+0 9.908433-6 1.968165+0 9.966637-6 1.923440+0 1.006098-5 1.848311+0 1.015908-5 1.766912+0 1.024344-5 1.691317+0 1.032505-5 1.611394+0 1.042472-5 1.514666+0 1.051692-5 1.436731+0 1.065860-5 1.333165+0 1.097025-5 1.104728+0 1.114338-5 9.804517-1 1.140822-5 7.986288-1 1.171521-5 6.085013-1 1.216186-5 3.732506-1 1.243886-5 2.503465-1 1.271422-5 1.517234-1 1.297237-5 8.279565-2 1.321438-5 4.054642-2 1.333900-5 2.805689-2 1.344127-5 2.337819-2 1.350000-5 2.302543-2 1.365398-5 3.029449-2 1.366875-5 3.162911-2 1.385339-5 5.811691-2 1.404034-5 1.045552-1 1.421287-5 1.666252-1 1.437478-5 2.427736-1 1.452673-5 3.224233-1 1.465097-5 3.645893-1 1.466810-5 3.667634-1 1.488750-5 3.211777-1 1.500162-5 2.748245-1 1.515000-5 2.170587-1 1.532603-5 1.567577-1 1.542094-5 1.285534-1 1.550992-5 1.051794-1 1.567675-5 6.970099-2 1.582273-5 4.833354-2 1.592498-5 3.954366-2 1.595047-5 3.822043-2 1.606223-5 3.678255-2 1.611900-5 3.890605-2 1.625782-5 5.284778-2 1.640451-5 8.235314-2 1.662455-5 1.577793-1 1.684459-5 2.753816-1 1.698244-5 3.750155-1 1.709336-5 4.723155-1 1.725920-5 6.486749-1 1.742504-5 8.656628-1 1.759089-5 1.129479+0 1.775466-5 1.442837+0 1.792903-5 1.842257+0 1.810785-5 2.332630+0 1.827778-5 2.885972+0 1.845215-5 3.556214+0 1.858294-5 4.138134+0 1.876040-5 5.052219+0 1.892678-5 6.056709+0 1.922898-5 8.328771+0 2.012516-5 2.050943+1 2.042920-5 2.772078+1 2.057808-5 3.217192+1 2.075704-5 3.855053+1 2.094735-5 4.684419+1 2.114171-5 5.739274+1 2.129354-5 6.752117+1 2.142241-5 7.774739+1 2.152787-5 8.747871+1 2.164987-5 1.006011+2 2.173879-5 1.116755+2 2.184424-5 1.268012+2 2.194970-5 1.445290+2 2.205516-5 1.654515+2 2.216061-5 1.903473+2 2.226607-5 2.202565+2 2.237153-5 2.565852+2 2.247699-5 3.012832+2 2.256329-5 3.460161+2 2.261815-5 3.792988+2 2.267302-5 4.172105+2 2.272788-5 4.606993+2 2.278274-5 5.109950+2 2.283760-5 5.697257+2 2.289246-5 6.390908+2 2.294732-5 7.221140+2 2.300218-5 8.230015+2 2.305705-5 9.476387+2 2.311191-5 1.104244+3 2.316677-5 1.304178+3 2.319420-5 1.425024+3 2.322163-5 1.562842+3 2.324906-5 1.720331+3 2.327649-5 1.900531+3 2.329725-5 2.054072+3 2.334396-5 2.462659+3 2.335953-5 2.620927+3 2.341703-5 3.318948+3 2.356077-5 6.082305+3 2.361664-5 7.645482+3 2.364702-5 8.623375+3 2.373679-5 1.202688+4 2.374406-5 1.233331+4 2.379493-5 1.458289+4 2.381491-5 1.550727+4 2.386033-5 1.765652+4 2.389213-5 1.916988+4 2.391985-5 2.046963+4 2.395023-5 2.184750+4 2.397350-5 2.285199+4 2.399962-5 2.390998+4 2.402845-5 2.497060+4 2.404949-5 2.566062+4 2.407418-5 2.636716+4 2.410167-5 2.700893+4 2.413192-5 2.752224+4 2.415989-5 2.780504+4 2.419213-5 2.789337+4 2.422199-5 2.774538+4 2.425009-5 2.740719+4 2.427605-5 2.692999+4 2.429233-5 2.655410+4 2.432604-5 2.560141+4 2.435078-5 2.476705+4 2.436795-5 2.412880+4 2.439717-5 2.294730+4 2.441953-5 2.197474+4 2.443780-5 2.114579+4 2.446177-5 2.002196+4 2.449259-5 1.853844+4 2.452166-5 1.712348+4 2.455073-5 1.571597+4 2.458344-5 1.416613+4 2.460887-5 1.300025+4 2.467218-5 1.030974+4 2.469884-5 9.284501+3 2.474974-5 7.524643+3 2.479210-5 6.262159+3 2.483480-5 5.170503+3 2.488288-5 4.144609+3 2.501861-5 2.201186+3 2.506047-5 1.818552+3 2.508634-5 1.619692+3 2.512108-5 1.390891+3 2.515745-5 1.191139+3 2.518383-5 1.067630+3 2.521468-5 9.424384+2 2.524552-5 8.348290+2 2.527636-5 7.420083+2 2.530720-5 6.616294+2 2.534726-5 5.726306+2 2.540059-5 4.757759+2 2.546141-5 3.884538+2 2.552309-5 3.188037+2 2.555393-5 2.896271+2 2.561562-5 2.404121+2 2.566085-5 2.108728+2 2.567730-5 2.013287+2 2.573898-5 1.706468+2 2.577064-5 1.577814+2 2.580220-5 1.467491+2 2.583376-5 1.374196+2 2.589688-5 1.235474+2 2.591266-5 1.210172+2 2.596000-5 1.154907+2 2.597143-5 1.145908+2 2.599145-5 1.133911+2 2.600646-5 1.127865+2 2.602898-5 1.123154+2 2.605149-5 1.123146+2 2.608513-5 1.130506+2 2.613130-5 1.151167+2 2.622037-5 1.203987+2 2.626870-5 1.227438+2 2.630268-5 1.237646+2 2.633872-5 1.240986+2 2.636939-5 1.236955+2 2.639390-5 1.228942+2 2.641842-5 1.216651+2 2.643854-5 1.203442+2 2.645615-5 1.189673+2 2.648748-5 1.160431+2 2.651303-5 1.132560+2 2.652870-5 1.113920+2 2.656839-5 1.062439+2 2.659208-5 1.029518+2 2.665287-5 9.413861+1 2.678518-5 7.603412+1 2.682656-5 7.131591+1 2.687289-5 6.675272+1 2.690579-5 6.399592+1 2.694732-5 6.109375+1 2.698397-5 5.905910+1 2.700123-5 5.826690+1 2.703179-5 5.711802+1 2.706155-5 5.630077+1 2.709369-5 5.574019+1 2.713113-5 5.549168+1 2.716240-5 5.560520+1 2.720081-5 5.613233+1 2.722454-5 5.666927+1 2.725501-5 5.759871+1 2.728020-5 5.858098+1 2.731687-5 6.039380+1 2.734639-5 6.224021+1 2.737868-5 6.475827+1 2.739409-5 6.618732+1 2.743601-5 7.105588+1 2.744895-5 7.292281+1 2.747351-5 7.707154+1 2.748869-5 8.010888+1 2.752120-5 8.813851+1 2.755150-5 9.800636+1 2.758876-5 1.143604+2 2.760146-5 1.212593+2 2.762222-5 1.342742+2 2.763880-5 1.464310+2 2.765699-5 1.618219+2 2.768230-5 1.873322+2 2.771003-5 2.216895+2 2.773735-5 2.632678+2 2.778941-5 3.684443+2 2.785472-5 5.616844+2 2.789295-5 7.142359+2 2.792904-5 8.896343+2 2.795972-5 1.065298+3 2.797412-5 1.156784+3 2.799934-5 1.331348+3 2.803716-5 1.629057+3 2.806553-5 1.881419+3 2.807498-5 1.971141+3 2.814635-5 2.737189+3 2.817437-5 3.078701+3 2.821254-5 3.576182+3 2.823898-5 3.939828+3 2.828520-5 4.602768+3 2.830702-5 4.923820+3 2.833037-5 5.269683+3 2.835659-5 5.657455+3 2.837849-5 5.977850+3 2.840665-5 6.380692+3 2.842688-5 6.660898+3 2.845343-5 7.013079+3 2.848517-5 7.404869+3 2.852303-5 7.820825+3 2.855559-5 8.125721+3 2.857941-5 8.313852+3 2.861227-5 8.521165+3 2.864343-5 8.658615+3 2.865604-5 8.697343+3 2.868914-5 8.752120+3 2.871481-5 8.747908+3 2.876828-5 8.611908+3 2.878814-5 8.519784+3 2.881680-5 8.350084+3 2.883476-5 8.223112+3 2.886761-5 7.953739+3 2.890274-5 7.619136+3 2.893208-5 7.309258+3 2.896038-5 6.989682+3 2.900503-5 6.455878+3 2.904025-5 6.019925+3 2.907942-5 5.530800+3 2.910645-5 5.195910+3 2.917522-5 4.375497+3 2.921057-5 3.980546+3 2.927807-5 3.293079+3 2.934891-5 2.676704+3 2.945644-5 1.949046+3 2.949060-5 1.766230+3 2.952602-5 1.598494+3 2.956144-5 1.451032+3 2.960866-5 1.282471+3 2.963839-5 1.190865+3 2.970000-5 1.031130+3 2.974463-5 9.366712+2 2.978899-5 8.571056+2 2.986158-5 7.512964+2 2.993019-5 6.724403+2 3.001621-5 5.944140+2 3.006567-5 5.574390+2 3.020602-5 4.751017+2 3.026351-5 4.489553+2 3.029661-5 4.355797+2 3.035471-5 4.148272+2 3.042906-5 3.930256+2 3.051380-5 3.742424+2 3.059416-5 3.619540+2 3.063779-5 3.573367+2 3.070323-5 3.527959+2 3.078054-5 3.504688+2 3.083775-5 3.502832+2 3.104153-5 3.528075+2 3.109647-5 3.527250+2 3.115314-5 3.518302+2 3.120296-5 3.502981+2 3.127155-5 3.470737+2 3.132176-5 3.439895+2 3.141504-5 3.370723+2 3.165087-5 3.176667+2 3.177439-5 3.087774+2 3.193557-5 2.993149+2 3.214659-5 2.896042+2 3.255595-5 2.732167+2 3.301571-5 2.546831+2 3.331046-5 2.443083+2 3.367640-5 2.332719+2 3.417607-5 2.204724+2 3.467369-5 2.096087+2 3.540581-5 1.961350+2 3.636509-5 1.816806+2 3.698023-5 1.739024+2 3.815328-5 1.616198+2 3.919780-5 1.525012+2 4.027170-5 1.445660+2 4.150491-5 1.367898+2 4.291432-5 1.293353+2 4.415704-5 1.238051+2 4.575440-5 1.176677+2 4.827808-5 1.095828+2 4.869961-5 1.087171+2 4.939986-5 1.078808+2 4.987171-5 1.070328+2 5.106448-5 1.043437+2 5.323452-5 1.008871+2 5.561707-5 9.815173+1 5.863221-5 9.597307+1 6.229198-5 9.506396+1 6.621548-5 9.566910+1 7.150000-5 9.835037+1 7.679849-5 1.022696+2 9.198345-5 1.152353+2 9.660509-5 1.185154+2 1.000000-4 1.204976+2 1.036746-4 1.219919+2 1.068756-4 1.226202+2 1.081245-4 1.226730+2 1.106181-4 1.223066+2 1.129225-4 1.214728+2 1.150000-4 1.202324+2 1.169590-4 1.185482+2 1.184878-4 1.168113+2 1.198756-4 1.149315+2 1.210285-4 1.131640+2 1.222217-4 1.111399+2 1.242948-4 1.072724+2 1.251242-4 1.060769+2 1.260000-4 1.060847+2 1.261402-4 1.062716+2 1.267160-4 1.076507+2 1.275528-4 1.112854+2 1.283384-4 1.160800+2 1.290818-4 1.216171+2 1.297795-4 1.277223+2 1.304342-4 1.343854+2 1.310720-4 1.419203+2 1.316254-4 1.494617+2 1.321665-4 1.579171+2 1.326744-4 1.670092+2 1.331511-4 1.767553+2 1.336055-4 1.873494+2 1.340657-4 1.996298+2 1.344309-4 2.106921+2 1.348053-4 2.234738+2 1.351563-4 2.370126+2 1.354854-4 2.513168+2 1.357939-4 2.663915+2 1.360832-4 2.822404+2 1.364583-4 3.057572+2 1.368469-4 3.344711+2 1.372798-4 3.732654+2 1.376602-4 4.153456+2 1.378399-4 4.386146+2 1.381564-4 4.864979+2 1.384396-4 5.389106+2 1.386873-4 5.945811+2 1.389481-4 6.660586+2 1.390938-4 7.131982+2 1.392598-4 7.744153+2 1.395321-4 8.958519+2 1.397545-4 1.018702+3 1.399213-4 1.127688+3 1.400464-4 1.220283+3 1.402341-4 1.378802+3 1.404217-4 1.563682+3 1.407673-4 1.983684+3 1.413096-4 2.885071+3 1.415899-4 3.477717+3 1.417869-4 3.945579+3 1.419839-4 4.452770+3 1.423317-4 5.428294+3 1.423751-4 5.555849+3 1.426794-4 6.468296+3 1.427990-4 6.830155+3 1.430272-4 7.511635+3 1.431302-4 7.810494+3 1.433055-4 8.298310+3 1.434397-4 8.648621+3 1.435903-4 9.011580+3 1.437162-4 9.285564+3 1.438780-4 9.592780+3 1.440464-4 9.851963+3 1.442552-4 1.007804+4 1.444291-4 1.017965+4 1.444896-4 1.019583+4 1.446624-4 1.018660+4 1.447986-4 1.012147+4 1.451299-4 9.757207+3 1.452384-4 9.578607+3 1.454768-4 9.095551+3 1.456322-4 8.723015+3 1.457945-4 8.294695+3 1.459518-4 7.850316+3 1.461343-4 7.310866+3 1.462964-4 6.821910+3 1.465048-4 6.196875+3 1.467764-4 5.421209+3 1.471698-4 4.454626+3 1.474223-4 3.973892+3 1.475939-4 3.721424+3 1.477834-4 3.517062+3 1.481514-4 3.347987+3 1.482539-4 3.353117+3 1.483476-4 3.376658+3 1.484584-4 3.426684+3 1.485713-4 3.500902+3 1.487072-4 3.618812+3 1.488547-4 3.778224+3 1.490427-4 4.020781+3 1.495643-4 4.831960+3 1.497691-4 5.164121+3 1.499731-4 5.479174+3 1.500663-4 5.614216+3 1.502450-4 5.851549+3 1.503892-4 6.018468+3 1.507498-4 6.318855+3 1.508764-4 6.380147+3 1.511179-4 6.429882+3 1.512926-4 6.410898+3 1.514037-4 6.375528+3 1.514870-4 6.337560+3 1.516120-4 6.263039+3 1.517370-4 6.168656+3 1.519243-4 5.993461+3 1.521049-4 5.791187+3 1.523284-4 5.504304+3 1.524918-4 5.275260+3 1.527135-4 4.946983+3 1.528465-4 4.744315+3 1.531997-4 4.203112+3 1.535899-4 3.630429+3 1.544846-4 2.555172+3 1.546610-4 2.390084+3 1.548661-4 2.217385+3 1.550856-4 2.054043+3 1.552966-4 1.916382+3 1.554697-4 1.816474+3 1.558176-4 1.646521+3 1.562366-4 1.487162+3 1.565644-4 1.389251+3 1.568675-4 1.314760+3 1.571612-4 1.254126+3 1.574686-4 1.200256+3 1.578901-4 1.138613+3 1.584138-4 1.076399+3 1.592177-4 1.001608+3 1.600870-4 9.390870+2 1.610500-4 8.848512+2 1.621307-4 8.378953+2 1.634179-4 7.963377+2 1.646299-4 7.676785+2 1.660517-4 7.432799+2 1.678000-4 7.226150+2 1.696000-4 7.082112+2 1.715000-4 6.975257+2 1.742986-4 6.861226+2 1.846148-4 6.550567+2 2.014036-4 6.144706+2 2.097864-4 5.992922+2 2.162719-4 5.893753+2 2.280468-4 5.765398+2 2.519134-4 5.605189+2 2.650010-4 5.510412+2 2.712264-4 5.502725+2 2.737353-4 5.533441+2 2.773460-4 5.590745+2 2.822818-4 5.597802+2 2.844055-4 5.638449+2 2.879137-4 5.746678+2 2.937503-4 5.890917+2 3.087535-4 6.115515+2 3.166110-4 6.227517+2 3.266348-4 6.417506+2 3.442829-4 6.671059+2 3.676146-4 6.925157+2 3.815121-4 7.034008+2 3.871280-4 7.096709+2 3.898572-4 7.140810+2 3.997042-4 7.337756+2 4.180986-4 7.602327+2 4.499093-4 7.931835+2 4.930000-4 8.279283+2 5.416890-4 8.575515+2 5.905409-4 8.780744+2 6.488574-4 8.917805+2 7.082708-4 8.943505+2 7.717915-4 8.847878+2 8.337976-4 8.616344+2 8.883763-4 8.332958+2 9.366180-4 8.006709+2 9.793976-4 7.647450+2 1.013587-3 7.301652+2 1.050587-3 6.850305+2 1.080812-3 6.404477+2 1.105409-3 5.976582+2 1.126873-3 5.546673+2 1.144854-3 5.134188+2 1.158776-3 4.771703+2 1.171178-3 4.407753+2 1.181795-3 4.059577+2 1.188989-3 3.816347+2 1.197971-3 3.635813+2 1.204722-3 3.894543+2 1.205332-3 3.951293+2 1.210562-3 4.775711+2 1.211266-3 4.939776+2 1.214350-3 5.825688+2 1.220604-3 8.401970+2 1.223727-3 9.942328+2 1.226626-3 1.137619+3 1.228781-3 1.236974+3 1.232147-3 1.367627+3 1.232512-3 1.379503+3 1.235502-3 1.457507+3 1.237333-3 1.488028+3 1.238498-3 1.500960+3 1.239630-3 1.509142+3 1.241654-3 1.514582+3 1.243366-3 1.512194+3 1.248885-3 1.490108+3 1.250427-3 1.486913+3 1.252011-3 1.487216+3 1.253257-3 1.490382+3 1.256236-3 1.508438+3 1.263958-3 1.588446+3 1.265528-3 1.600237+3 1.269078-3 1.607766+3 1.272148-3 1.587316+3 1.275479-3 1.535643+3 1.277638-3 1.488015+3 1.280809-3 1.404153+3 1.284331-3 1.302678+3 1.286997-3 1.227995+3 1.290044-3 1.151571+3 1.293092-3 1.089113+3 1.297163-3 1.030654+3 1.299188-3 1.011960+3 1.302856-3 9.933255+2 1.306735-3 9.904735+2 1.310813-3 9.999900+2 1.316867-3 1.026489+3 1.325868-3 1.073703+3 1.338447-3 1.136986+3 1.351597-3 1.196582+3 1.363854-3 1.246410+3 1.382372-3 1.312018+3 1.403742-3 1.375681+3 1.422640-3 1.421343+3 1.446491-3 1.465742+3 1.462966-3 1.487951+3 1.483967-3 1.507231+3 1.501696-3 1.516569+3 1.524314-3 1.519808+3 1.554642-3 1.509618+3 1.564111-3 1.509674+3 1.573739-3 1.517908+3 1.579439-3 1.527813+3 1.591611-3 1.560030+3 1.608167-3 1.613752+3 1.623854-3 1.660307+3 1.640096-3 1.699132+3 1.653180-3 1.722689+3 1.670520-3 1.744551+3 1.687709-3 1.758348+3 1.721360-3 1.776357+3 1.740139-3 1.794734+3 1.783968-3 1.862962+3 1.798149-3 1.881330+3 1.815296-3 1.898298+3 1.838279-3 1.913955+3 1.863840-3 1.924350+3 1.916636-3 1.931102+3 1.930112-3 1.938907+3 1.949834-3 1.961003+3 1.981047-3 1.999509+3 2.002212-3 2.016986+3 2.025861-3 2.030473+3 2.093645-3 2.054348+3 2.191245-3 2.069687+3 2.344229-3 2.073246+3 2.463374-3 2.064479+3 2.663598-3 2.035520+3 2.799360-3 2.009449+3 3.063727-3 1.949329+3 3.174817-3 1.922500+3 3.379388-3 1.867505+3 3.762896-3 1.762434+3 4.066618-3 1.680756+3 4.448117-3 1.579025+3 4.854317-3 1.473152+3 5.075382-3 1.417464+3 5.308844-3 1.360476+3 5.558042-3 1.300516+3 5.770207-3 1.250377+3 6.014496-3 1.192507+3 6.207127-3 1.146685+3 6.387485-3 1.103267+3 6.546015-3 1.064082+3 6.675099-3 1.030877+3 6.791917-3 9.995251+2 6.897814-3 9.695266+2 6.984535-3 9.432523+2 7.057335-3 9.192981+2 7.126735-3 8.941032+2 7.182722-3 8.714757+2 7.233836-3 8.480309+2 7.275847-3 8.256972+2 7.323950-3 7.955799+2 7.384329-3 7.523800+2 7.423695-3 7.262266+2 7.448538-3 7.137055+2 7.473447-3 7.060378+2 7.489296-3 7.041652+2 7.511575-3 7.056640+2 7.530810-3 7.106320+2 7.553096-3 7.199710+2 7.588120-3 7.398154+2 7.647862-3 7.765652+2 7.666339-3 7.865301+2 7.694581-3 7.996191+2 7.729529-3 8.121490+2 7.765027-3 8.212095+2 7.810774-3 8.286378+2 7.860626-3 8.327001+2 7.914755-3 8.334250+2 7.965591-3 8.309451+2 8.012752-3 8.258104+2 8.056723-3 8.184822+2 8.165173-3 7.951453+2 8.206007-3 7.897413+2 8.247733-3 7.897095+2 8.286296-3 7.951711+2 8.351950-3 8.126984+2 8.417114-3 8.307683+2 8.474209-3 8.410920+2 8.538682-3 8.462998+2 8.609938-3 8.498545+2 8.668625-3 8.564794+2 8.718227-3 8.660341+2 8.826223-3 8.916629+2 8.910180-3 9.070072+2 9.006973-3 9.176709+2 9.153423-3 9.257519+2 9.353702-3 9.293300+2 9.577453-3 9.278304+2 9.900870-3 9.191144+2 1.030127-2 9.019982+2 1.081466-2 8.746346+2 1.135043-2 8.429430+2 1.198060-2 8.044777+2 1.280480-2 7.547990+2 1.396796-2 6.891670+2 1.546650-2 6.147232+2 1.730278-2 5.380120+2 1.929954-2 4.698229+2 2.159608-2 4.062343+2 2.401260-2 3.516425+2 2.609792-2 3.119896+2 2.828273-2 2.763282+2 3.181106-2 2.297035+2 3.586967-2 1.891692+2 3.875780-2 1.659823+2 4.164575-2 1.459712+2 4.391148-2 1.320543+2 4.583615-2 1.211777+2 4.732904-2 1.130921+2 4.849287-2 1.067557+2 4.933707-2 1.019126+2 4.970253-2 9.966154+1 5.002785-2 9.751196+1 5.030498-2 9.550906+1 5.053244-2 9.369310+1 5.085678-2 9.076252+1 5.154463-2 8.400857+1 5.173457-2 8.263850+1 5.189084-2 8.190370+1 5.209245-2 8.157008+1 5.228996-2 8.190453+1 5.253060-2 8.300673+1 5.313081-2 8.677916+1 5.342264-2 8.819750+1 5.372284-2 8.918808+1 5.396235-2 8.969845+1 5.449172-2 9.024745+1 5.515951-2 9.029062+1 5.595486-2 8.984754+1 5.742519-2 8.833036+1 5.889994-2 8.633630+1 6.111770-2 8.288823+1 6.425111-2 7.780313+1 6.790228-2 7.207144+1 7.261624-2 6.526460+1 7.786487-2 5.851573+1 8.551932-2 5.016820+1 9.947635-2 3.878272+1 1.117616-1 3.161348+1 1.286966-1 2.450687+1 1.864160-1 1.242103+1 2.227512-1 8.913398+0 2.685248-1 6.251466+0 3.613609-1 3.527208+0 5.354883-1 1.638540+0 8.413951-1 6.735270-1 1.477239+0 2.206389-1 3.543651+0 3.852284-2 1.070165+1 4.227492-3 3.231848+1 4.635788-4 9.760024+1 5.083092-5 2.947480+2 5.573506-6 8.901248+2 6.111229-7 3.162278+3 4.842062-8 1.000000+4 4.842062-9 3.162278+4 4.84206-10 1.000000+5 4.84206-11 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.206900-6 1.258900-6 3.497600-6 1.584900-6 5.543400-6 1.995300-6 8.785600-6 2.511900-6 1.392400-5 3.162300-6 2.206800-5 3.981100-6 3.497600-5 5.011900-6 5.543300-5 6.309600-6 8.785400-5 7.943300-6 1.392400-4 1.000000-5 2.206800-4 1.258900-5 3.497400-4 1.584900-5 5.540400-4 1.995300-5 8.775500-4 2.511900-5 1.390100-3 3.162300-5 2.202300-3 3.981100-5 3.489500-3 5.011900-5 5.529200-3 6.309600-5 8.761500-3 7.943300-5 1.386200-2 1.000000-4 2.192200-2 1.258900-4 3.466600-2 1.584900-4 5.467900-2 1.995300-4 8.608700-2 2.511900-4 1.349600-1 3.162300-4 2.102700-1 3.981100-4 3.242600-1 5.011900-4 4.916100-1 6.309600-4 7.284400-1 7.943300-4 1.047800+0 1.000000-3 1.456800+0 1.258900-3 1.957900+0 1.584900-3 2.566300+0 1.995300-3 3.318900+0 2.511900-3 4.255900+0 3.162300-3 5.399100+0 3.981100-3 6.762900+0 5.011900-3 8.357200+0 6.309600-3 1.013700+1 7.943300-3 1.206500+1 1.000000-2 1.412800+1 1.258900-2 1.632200+1 1.584900-2 1.864200+1 1.995300-2 2.100500+1 2.511900-2 2.316100+1 3.162300-2 2.500500+1 3.981100-2 2.648100+1 5.011900-2 2.754200+1 6.309600-2 2.792900+1 7.943300-2 2.834800+1 1.000000-1 2.803900+1 1.258900-1 2.730300+1 1.584900-1 2.626400+1 1.995300-1 2.494200+1 2.511900-1 2.343700+1 3.162300-1 2.181300+1 3.981100-1 2.013900+1 5.011900-1 1.845200+1 6.309600-1 1.679100+1 7.943300-1 1.518000+1 1.000000+0 1.362800+1 1.258900+0 1.216700+1 1.584900+0 1.078600+1 1.995300+0 9.499700+0 2.511900+0 8.313200+0 3.162300+0 7.229400+0 3.981100+0 6.249700+0 5.011900+0 5.372400+0 6.309600+0 4.593900+0 7.943300+0 3.909600+0 1.000000+1 3.312400+0 1.258900+1 2.795100+0 1.584900+1 2.349900+0 1.995300+1 1.969100+0 2.511900+1 1.645100+0 3.162300+1 1.370600+0 3.981100+1 1.139200+0 5.011900+1 9.447400-1 6.309600+1 7.819000-1 7.943300+1 6.459600-1 1.000000+2 5.327600-1 1.258900+2 4.387400-1 1.584900+2 3.608100-1 1.995300+2 2.963500-1 2.511900+2 2.431200-1 3.162300+2 1.992300-1 3.981100+2 1.631000-1 5.011900+2 1.334000-1 6.309600+2 1.090100-1 7.943300+2 8.900700-2 1.000000+3 7.261900-2 1.258900+3 5.920500-2 1.584900+3 4.823700-2 1.995300+3 3.927500-2 2.511900+3 3.195800-2 3.162300+3 2.599000-2 3.981100+3 2.112500-2 5.011900+3 1.716100-2 6.309600+3 1.393400-2 7.943300+3 1.130900-2 1.000000+4 9.173600-3 1.258900+4 7.438400-3 1.584900+4 6.029000-3 1.995300+4 4.884600-3 2.511900+4 3.955900-3 3.162300+4 3.202600-3 3.981100+4 2.591800-3 5.011900+4 2.096800-3 6.309600+4 1.695700-3 7.943300+4 1.370900-3 1.000000+5 1.108000-3 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510165-4 3.162278-4 3.159556-4 3.981072-4 3.976775-4 5.011872-4 5.005104-4 6.309573-4 6.298943-4 7.943282-4 7.926640-4 1.000000-3 9.973999-4 1.258925-3 1.254882-3 1.584893-3 1.578589-3 1.995262-3 1.985392-3 2.511886-3 2.496387-3 3.162278-3 3.137934-3 3.981072-3 3.942822-3 5.011872-3 4.952081-3 6.309573-3 6.216144-3 7.943282-3 7.798147-3 1.000000-2 9.774463-3 1.258925-2 1.223831-2 1.584893-2 1.530433-2 1.995262-2 1.911249-2 2.511886-2 2.382915-2 3.162278-2 2.965646-2 3.981072-2 3.682923-2 5.011872-2 4.562378-2 6.309573-2 5.635527-2 7.943282-2 6.941574-2 1.000000-1 8.526060-2 1.258925-1 1.043860-1 1.584893-1 1.272871-1 1.995262-1 1.547738-1 2.511886-1 1.875646-1 3.162278-1 2.265719-1 3.981072-1 2.728112-1 5.011872-1 3.274786-1 6.309573-1 3.919686-1 7.943282-1 4.679278-1 1.000000+0 5.576016-1 1.258925+0 6.627135-1 1.584893+0 7.871055-1 1.995262+0 9.342094-1 2.511886+0 1.108797+0 3.162278+0 1.316497+0 3.981072+0 1.564480+0 5.011872+0 1.861271+0 6.309573+0 2.217698+0 7.943282+0 2.646091+0 1.000000+1 3.162699+0 1.258925+1 3.786715+0 1.584893+1 4.541884+0 1.995262+1 5.457100+0 2.511886+1 6.567826+0 3.162278+1 7.917840+0 3.981072+1 9.560349+0 5.011872+1 1.156116+1 6.309573+1 1.400082+1 7.943282+1 1.697844+1 1.000000+2 2.061581+1 1.258925+2 2.506286+1 1.584893+2 3.050481+1 1.995262+2 3.716805+1 2.511886+2 4.533320+1 3.162278+2 5.534581+1 3.981072+2 6.763030+1 5.011872+2 8.271365+1 6.309573+2 1.012430+2 7.943282+2 1.240190+2 1.000000+3 1.520287+2 1.258925+3 1.864937+2 1.584893+3 2.289208+2 1.995262+3 2.811760+2 2.511886+3 3.455604+2 3.162278+3 4.249395+2 3.981072+3 5.228242+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88201-10 1.995262-5 1.090637-9 2.511886-5 1.728515-9 3.162278-5 2.739537-9 3.981072-5 4.341913-9 5.011872-5 6.881436-9 6.309573-5 1.090602-8 7.943282-5 1.727691-8 1.000000-4 2.737422-8 1.258925-4 4.337614-8 1.584893-4 6.869129-8 1.995262-4 1.087694-7 2.511886-4 1.721325-7 3.162278-4 2.721671-7 3.981072-4 4.296833-7 5.011872-4 6.768248-7 6.309573-4 1.063072-6 7.943282-4 1.664250-6 1.000000-3 2.600056-6 1.258925-3 4.043460-6 1.584893-3 6.304692-6 1.995262-3 9.870129-6 2.511886-3 1.549968-5 3.162278-3 2.434411-5 3.981072-3 3.824969-5 5.011872-3 5.979157-5 6.309573-3 9.342984-5 7.943282-3 1.451353-4 1.000000-2 2.255367-4 1.258925-2 3.509424-4 1.584893-2 5.446034-4 1.995262-2 8.401343-4 2.511886-2 1.289711-3 3.162278-2 1.966321-3 3.981072-2 2.981486-3 5.011872-2 4.494940-3 6.309573-2 6.740468-3 7.943282-2 1.001708-2 1.000000-1 1.473940-2 1.258925-1 2.150658-2 1.584893-1 3.120218-2 1.995262-1 4.475244-2 2.511886-1 6.362400-2 3.162278-1 8.965584-2 3.981072-1 1.252960-1 5.011872-1 1.737087-1 6.309573-1 2.389888-1 7.943282-1 3.264004-1 1.000000+0 4.423984-1 1.258925+0 5.962119-1 1.584893+0 7.977877-1 1.995262+0 1.061053+0 2.511886+0 1.403089+0 3.162278+0 1.845780+0 3.981072+0 2.416592+0 5.011872+0 3.150601+0 6.309573+0 4.091876+0 7.943282+0 5.297192+0 1.000000+1 6.837301+0 1.258925+1 8.802539+0 1.584893+1 1.130705+1 1.995262+1 1.449552+1 2.511886+1 1.855104+1 3.162278+1 2.370494+1 3.981072+1 3.025037+1 5.011872+1 3.855756+1 6.309573+1 4.909492+1 7.943282+1 6.245438+1 1.000000+2 7.938419+1 1.258925+2 1.008297+2 1.584893+2 1.279845+2 1.995262+2 1.623582+2 2.511886+2 2.058554+2 3.162278+2 2.608820+2 3.981072+2 3.304769+2 5.011872+2 4.184736+2 6.309573+2 5.297143+2 7.943282+2 6.703093+2 1.000000+3 8.479713+2 1.258925+3 1.072432+3 1.584893+3 1.355972+3 1.995262+3 1.714086+3 2.511886+3 2.166326+3 3.162278+3 2.737338+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.290000-6 3.878440+6 5.688529-6 2.825191+6 6.237348-6 1.876550+6 6.760830-6 1.302121+6 7.328245-6 8.967814+5 7.943282-6 6.130313+5 8.609938-6 4.156559+5 9.332543-6 2.797029+5 9.530000-6 2.518874+5 9.530000-6 8.792286+5 9.772372-6 8.253311+5 1.020000-5 7.484009+5 1.039000-5 7.201280+5 1.039000-5 1.153416+6 1.050000-5 1.131818+6 1.083927-5 1.072564+6 1.085000-5 1.070870+6 1.122018-5 1.019056+6 1.130000-5 1.009314+6 1.148154-5 9.890041+5 1.165000-5 9.712801+5 1.170000-5 9.666035+5 1.202264-5 9.397842+5 1.205000-5 9.376468+5 1.216186-5 9.299668+5 1.250000-5 9.099868+5 1.260000-5 9.052332+5 1.290000-5 8.934358+5 1.310000-5 8.875867+5 1.333521-5 8.822666+5 1.333900-5 8.821877+5 1.350000-5 8.799785+5 1.375300-5 8.779637+5 1.380384-5 8.776378+5 1.400000-5 8.777108+5 1.412538-5 8.784509+5 1.428894-5 8.796066+5 1.450000-5 8.824689+5 1.480000-5 8.882463+5 1.500000-5 8.933917+5 1.515000-5 8.978973+5 1.531087-5 9.028490+5 1.550000-5 9.097084+5 1.584893-5 9.240969+5 1.590000-5 9.262348+5 1.611900-5 9.366183+5 1.621810-5 9.417542+5 1.659587-5 9.615702+5 1.678804-5 9.728098+5 1.698244-5 9.850217+5 1.737801-5 1.010137+6 1.750000-5 1.018594+6 1.778279-5 1.039403+6 1.819701-5 1.070228+6 1.830000-5 1.077962+6 1.870000-5 1.111676+6 1.920000-5 1.154451+6 1.927525-5 1.161206+6 2.000000-5 1.230363+6 2.018366-5 1.248169+6 2.041738-5 1.271729+6 2.070000-5 1.301524+6 2.137962-5 1.374467+6 2.166500-5 1.406412+6 2.187762-5 1.430449+6 2.264644-5 1.521608+6 2.344229-5 1.620689+6 2.483133-5 1.800518+6 2.630268-5 2.001947+6 2.759000-5 2.186178+6 2.759000-5 2.011278+7 2.818383-5 1.834977+7 2.820000-5 1.830500+7 2.884032-5 1.673525+7 2.951209-5 1.538373+7 2.970000-5 1.503782+7 3.019952-5 1.422294+7 3.054921-5 1.369880+7 3.162278-5 1.235000+7 3.224000-5 1.171542+7 3.224000-5 1.980802+7 3.235937-5 1.955478+7 3.273407-5 1.879418+7 3.311311-5 1.807259+7 3.388442-5 1.680063+7 3.400000-5 1.662356+7 3.450000-5 1.591685+7 3.467369-5 1.568465+7 3.507519-5 1.517025+7 3.548134-5 1.469477+7 3.589219-5 1.424974+7 3.650000-5 1.363953+7 3.672823-5 1.343014+7 3.801894-5 1.236732+7 3.845918-5 1.204810+7 3.900000-5 1.168866+7 4.027170-5 1.094187+7 4.150000-5 1.033783+7 4.168694-5 1.025403+7 4.300000-5 9.729842+6 4.415704-5 9.340334+6 4.466836-5 9.185625+6 4.570882-5 8.904669+6 4.731513-5 8.542057+6 4.786301-5 8.435114+6 4.900000-5 8.239644+6 5.069907-5 7.998975+6 5.128614-5 7.926818+6 5.217000-5 7.832743+6 5.217000-5 7.883819+6 5.280000-5 7.824730+6 5.300000-5 7.807357+6 5.400000-5 7.725090+6 5.495409-5 7.659639+6 5.500000-5 7.656892+6 5.623413-5 7.585206+6 5.688529-5 7.554078+6 5.800000-5 7.505588+6 5.821032-5 7.497727+6 5.888437-5 7.476317+6 5.900000-5 7.473104+6 5.956621-5 7.455340+6 6.025596-5 7.436704+6 6.095369-5 7.421128+6 6.165950-5 7.405373+6 6.309573-5 7.384175+6 6.456542-5 7.364629+6 6.500000-5 7.360637+6 6.683439-5 7.346538+6 6.839116-5 7.333231+6 6.918310-5 7.330073+6 7.000000-5 7.324841+6 7.079458-5 7.321521+6 7.161434-5 7.314792+6 7.300000-5 7.307856+6 7.328245-5 7.306818+6 7.500000-5 7.295776+6 7.585776-5 7.288502+6 7.762471-5 7.276224+6 7.852356-5 7.267556+6 7.900000-5 7.263674+6 7.943282-5 7.260268+6 8.035261-5 7.248512+6 8.150000-5 7.235396+6 8.222426-5 7.228187+6 8.300000-5 7.220795+6 8.511380-5 7.195650+6 8.810489-5 7.155147+6 8.900000-5 7.141099+6 9.015711-5 7.124211+6 9.120108-5 7.109842+6 9.150000-5 7.104544+6 9.300000-5 7.078412+6 9.500000-5 7.046025+6 9.549926-5 7.037093+6 9.660509-5 7.017519+6 1.000000-4 6.961557+6 1.011579-4 6.939486+6 1.023293-4 6.917991+6 1.047129-4 6.869619+6 1.060000-4 6.844377+6 1.075600-4 6.814884+6 1.096478-4 6.770277+6 1.109175-4 6.744021+6 1.122018-4 6.715037+6 1.150000-4 6.654287+6 1.161449-4 6.630247+6 1.174898-4 6.597786+6 1.194100-4 6.548067+6 1.205000-4 6.520580+6 1.244515-4 6.424518+6 1.260000-4 6.384038+6 1.273503-4 6.346677+6 1.318257-4 6.227804+6 1.333521-4 6.188839+6 1.350000-4 6.139467+6 1.380384-4 6.050850+6 1.445440-4 5.872644+6 1.450000-4 5.859840+6 1.513561-4 5.674692+6 1.542900-4 5.594070+6 1.542900-4 6.069858+6 1.548817-4 6.076112+6 1.551000-4 6.078059+6 1.575000-4 6.116355+6 1.584893-4 6.135744+6 1.588000-4 6.142598+6 1.599000-4 6.164329+6 1.603245-4 6.171554+6 1.605900-4 6.176327+6 1.605900-4 6.505368+6 1.607000-4 6.509303+6 1.610500-4 6.520423+6 1.614000-4 6.532964+6 1.618000-4 6.545714+6 1.621810-4 6.559269+6 1.628000-4 6.579010+6 1.630000-4 6.584539+6 1.636000-4 6.602437+6 1.644000-4 6.622754+6 1.652000-4 6.639703+6 1.654000-4 6.643005+6 1.659587-4 6.651348+6 1.665000-4 6.654728+6 1.670000-4 6.656984+6 1.673000-4 6.656587+6 1.678804-4 6.654337+6 1.680000-4 6.653941+6 1.683000-4 6.651355+6 1.690000-4 6.643014+6 1.692000-4 6.639778+6 1.700000-4 6.624103+6 1.707000-4 6.605141+6 1.714000-4 6.584044+6 1.715000-4 6.580666+6 1.723000-4 6.550952+6 1.725000-4 6.542808+6 1.733000-4 6.508052+6 1.740000-4 6.475636+6 1.750000-4 6.424029+6 1.757924-4 6.381175+6 1.761000-4 6.363992+6 1.772000-4 6.300188+6 1.778279-4 6.262779+6 1.785000-4 6.222175+6 1.798871-4 6.137119+6 1.800000-4 6.129993+6 1.819701-4 6.001537+6 1.820000-4 5.999637+6 1.835000-4 5.903510+6 1.842000-4 5.859101+6 1.865000-4 5.716076+6 1.880000-4 5.626054+6 1.893200-4 5.549224+6 1.905461-4 5.479320+6 1.930000-4 5.340601+6 1.965000-4 5.155367+6 1.995262-4 5.009398+6 2.000000-4 4.987479+6 2.018366-4 4.905896+6 2.030000-4 4.855929+6 2.040000-4 4.814697+6 2.041738-4 4.807433+6 2.050000-4 4.773492+6 2.060000-4 4.731795+6 2.080000-4 4.652344+6 2.089296-4 4.616826+6 2.113489-4 4.528815+6 2.137962-4 4.445991+6 2.142000-4 4.432898+6 2.162719-4 4.367830+6 2.170000-4 4.345892+6 2.187762-4 4.294058+6 2.198000-4 4.265367+6 2.213095-4 4.224333+6 2.220000-4 4.204960+6 2.240000-4 4.150362+6 2.264644-4 4.087009+6 2.290868-4 4.023715+6 2.317395-4 3.963685+6 2.344229-4 3.906813+6 2.350000-4 3.894980+6 2.366500-4 3.862221+6 2.371374-4 3.852308+6 2.380000-4 3.834687+6 2.400000-4 3.795168+6 2.415000-4 3.766533+6 2.430000-4 3.738849+6 2.454709-4 3.694955+6 2.465000-4 3.677319+6 2.500000-4 3.619811+6 2.511886-4 3.601088+6 2.540973-4 3.553306+6 2.600160-4 3.462754+6 2.630268-4 3.419863+6 2.660725-4 3.378242+6 2.691535-4 3.338131+6 2.770000-4 3.234410+6 2.786121-4 3.214224+6 2.810400-4 3.184662+6 2.810400-4 3.483151+6 2.851018-4 3.434151+6 2.884032-4 3.395638+6 2.900000-4 3.376276+6 2.951209-4 3.316477+6 3.000000-4 3.262000+6 3.050000-4 3.209091+6 3.060000-4 3.198641+6 3.090295-4 3.166894+6 3.100000-4 3.156551+6 3.150000-4 3.104248+6 3.160000-4 3.093914+6 3.160000-4 3.172998+6 3.200000-4 3.132744+6 3.240000-4 3.093701+6 3.273407-4 3.061614+6 3.311311-4 3.025677+6 3.349654-4 2.988937+6 3.350000-4 2.988613+6 3.430000-4 2.914687+6 3.467369-4 2.881679+6 3.470000-4 2.879405+6 3.507519-4 2.846704+6 3.548134-4 2.811801+6 3.550000-4 2.810182+6 3.600000-4 2.767212+6 3.630781-4 2.741136+6 3.672823-4 2.706731+6 3.715352-4 2.672729+6 3.758374-4 2.638607+6 3.801894-4 2.604704+6 3.850000-4 2.567153+6 3.883900-4 2.540935+6 3.883900-4 2.638759+6 3.935501-4 2.599637+6 4.000000-4 2.552191+6 4.027170-4 2.532388+6 4.073803-4 2.498501+6 4.100000-4 2.479602+6 4.168694-4 2.430951+6 4.265795-4 2.364589+6 4.280000-4 2.355212+6 4.315191-4 2.331986+6 4.365158-4 2.299518+6 4.390000-4 2.283097+6 4.415704-4 2.266371+6 4.472100-4 2.230375+6 4.570882-4 2.169592+6 4.623810-4 2.137899+6 4.677351-4 2.106493+6 4.700000-4 2.093321+6 4.786301-4 2.044042+6 4.850000-4 2.008288+6 4.930000-4 1.965259+6 5.011872-4 1.922622+6 5.069907-4 1.892642+6 5.188000-4 1.833891+6 5.248075-4 1.804708+6 5.308844-4 1.775536+6 5.432503-4 1.719099+6 5.495409-4 1.691150+6 5.559043-4 1.663497+6 5.754399-4 1.581251+6 5.888437-4 1.528675+6 5.900000-4 1.524267+6 5.956621-4 1.502597+6 6.025596-4 1.476645+6 6.095369-4 1.451240+6 6.100000-4 1.449572+6 6.237348-4 1.401090+6 6.382635-4 1.352194+6 6.456542-4 1.328332+6 6.480700-4 1.320602+6 6.606934-4 1.281225+6 6.683439-4 1.258012+6 6.700000-4 1.253091+6 6.760830-4 1.235194+6 6.850000-4 1.209797+6 6.918310-4 1.190750+6 7.000000-4 1.168442+6 7.079458-4 1.147071+6 7.244360-4 1.104623+6 7.300000-4 1.090937+6 7.328245-4 1.084060+6 7.500000-4 1.043357+6 7.585776-4 1.023580+6 7.673615-4 1.003910+6 7.762471-4 9.846762+5 7.852356-4 9.657647+5 7.943282-4 9.470448+5 8.035261-4 9.287376+5 8.128305-4 9.104795+5 8.317638-4 8.749799+5 8.413951-4 8.577600+5 8.511380-4 8.407437+5 8.609938-4 8.240312+5 8.709636-4 8.074108+5 8.810489-4 7.911626+5 9.000000-4 7.620206+5 9.015711-4 7.596709+5 9.120108-4 7.441871+5 9.225714-4 7.290059+5 9.332543-4 7.139582+5 9.549926-4 6.847813+5 9.660509-4 6.706630+5 9.700000-4 6.657231+5 9.885531-4 6.430658+5 1.000000-3 6.295089+5 1.023293-3 6.031210+5 1.035142-3 5.903376+5 1.047129-3 5.778499+5 1.059254-3 5.655308+5 1.071519-3 5.534669+5 1.083927-3 5.415146+5 1.109175-3 5.184136+5 1.110000-3 5.176842+5 1.122018-3 5.071783+5 1.135011-3 4.961994+5 1.161449-3 4.747408+5 1.174898-3 4.642388+5 1.216186-3 4.341357+5 1.230269-3 4.245564+5 1.244515-3 4.150999+5 1.244600-3 4.150442+5 1.244600-3 1.372719+6 1.258925-3 1.348867+6 1.273503-3 1.325186+6 1.279000-3 1.316441+6 1.279000-3 1.755996+6 1.288250-3 1.750273+6 1.293000-3 1.747474+6 1.317000-3 1.743821+6 1.318257-3 1.742907+6 1.333521-3 1.732234+6 1.345000-3 1.724671+6 1.355000-3 1.714065+6 1.364583-3 1.699447+6 1.380384-3 1.672199+6 1.390000-3 1.656200+6 1.396368-3 1.644280+6 1.412538-3 1.609540+6 1.420600-3 1.592688+6 1.445440-3 1.536669+6 1.450000-3 1.524997+6 1.462177-3 1.494399+6 1.479108-3 1.453611+6 1.500000-3 1.405350+6 1.513561-3 1.375238+6 1.566751-3 1.265608+6 1.584893-3 1.231024+6 1.596800-3 1.209011+6 1.596800-3 1.393213+6 1.603245-3 1.380470+6 1.621810-3 1.344698+6 1.650000-3 1.292827+6 1.678804-3 1.242219+6 1.698244-3 1.209941+6 1.737801-3 1.147469+6 1.753400-3 1.124107+6 1.753400-3 1.192156+6 1.757924-3 1.185319+6 1.778279-3 1.155248+6 1.800000-3 1.124083+6 1.827000-3 1.086562+6 1.840772-3 1.068218+6 1.862087-3 1.040727+6 1.900000-3 9.939600+5 1.927525-3 9.616500+5 1.935800-3 9.522398+5 1.935800-3 9.941679+5 1.972423-3 9.532739+5 2.000000-3 9.237018+5 2.018366-3 9.046105+5 2.041738-3 8.812561+5 2.065380-3 8.583021+5 2.089296-3 8.359846+5 2.113489-3 8.141087+5 2.137962-3 7.928126+5 2.162719-3 7.721032+5 2.187762-3 7.517574+5 2.213095-3 7.319729+5 2.220000-3 7.266824+5 2.238721-3 7.126157+5 2.300000-3 6.692723+5 2.320000-3 6.559432+5 2.344229-3 6.402825+5 2.371374-3 6.232706+5 2.400000-3 6.059108+5 2.426610-3 5.903034+5 2.483133-3 5.590457+5 2.511886-3 5.440797+5 2.570396-3 5.152943+5 2.600160-3 5.014096+5 2.630268-3 4.879201+5 2.660725-3 4.748128+5 2.691535-3 4.619205+5 2.722701-3 4.493802+5 2.818383-3 4.134652+5 2.851018-3 4.020673+5 2.917427-3 3.802303+5 2.951209-3 3.697269+5 3.000000-3 3.552471+5 3.019952-3 3.495446+5 3.054921-3 3.398565+5 3.126079-3 3.213158+5 3.162278-3 3.124426+5 3.198895-3 3.037697+5 3.311311-3 2.792147+5 3.349654-3 2.714824+5 3.388442-3 2.639089+5 3.400000-3 2.617092+5 3.467369-3 2.493325+5 3.507519-3 2.423541+5 3.589219-3 2.289164+5 3.630781-3 2.224813+5 3.650000-3 2.195933+5 3.672823-3 2.162305+5 3.715352-3 2.101429+5 3.758374-3 2.042086+5 3.801894-3 1.984506+5 3.890451-3 1.873309+5 3.935501-3 1.820152+5 4.073803-3 1.669427+5 4.120975-3 1.622127+5 4.168694-3 1.576229+5 4.216965-3 1.531365+5 4.315191-3 1.445549+5 4.365158-3 1.404334+5 4.400000-3 1.376450+5 4.466836-3 1.324842+5 4.570882-3 1.249907+5 4.623810-3 1.214124+5 4.677351-3 1.179395+5 4.731513-3 1.145675+5 4.786301-3 1.112772+5 4.800000-3 1.104755+5 4.841724-3 1.080698+5 4.897788-3 1.049428+5 5.069907-3 9.608327+4 5.188000-3 9.061609+4 5.248075-3 8.800374+4 5.308844-3 8.546883+4 5.370318-3 8.298867+4 5.432503-3 8.058101+4 5.500000-3 7.807141+4 5.688529-3 7.159012+4 5.754399-3 6.950213+4 5.821032-3 6.747613+4 5.956621-3 6.360782+4 6.000000-3 6.243690+4 6.025596-3 6.176000+4 6.095369-3 5.995300+4 6.237348-3 5.647963+4 6.456542-3 5.164623+4 6.531306-3 5.013143+4 6.606934-3 4.866309+4 6.614500-3 4.851914+4 6.683439-3 4.723513+4 6.760830-3 4.585028+4 6.839116-3 4.450795+4 6.918310-3 4.319639+4 7.000000-3 4.189125+4 7.161434-3 3.946715+4 7.413102-3 3.606883+4 7.498942-3 3.500528+4 7.500000-3 3.499245+4 7.505300-3 3.492799+4 7.505300-3 9.594963+4 7.673615-3 9.105532+4 7.720000-3 8.976800+4 7.762471-3 8.848528+4 7.852356-3 8.585264+4 7.943282-3 8.329215+4 8.035261-3 8.080709+4 8.128305-3 7.839682+4 8.260900-3 7.505083+4 8.260900-3 1.030200+5 8.340000-3 1.004422+5 8.413951-3 9.821861+4 8.500000-3 9.571538+4 8.511380-3 9.537725+4 8.609938-3 9.251707+4 8.673100-3 9.074596+4 8.673100-3 1.049328+5 8.709636-3 1.037912+5 8.735000-3 1.030084+5 8.785000-3 1.014869+5 8.810489-3 1.007518+5 8.912509-3 9.788416+4 9.015711-3 9.510056+4 9.120108-3 9.235084+4 9.225714-3 8.967973+4 9.332543-3 8.711150+4 9.440609-3 8.461889+4 9.549926-3 8.219743+4 9.660509-3 7.979263+4 1.000000-2 7.300111+4 1.011579-2 7.086678+4 1.023293-2 6.879612+4 1.035142-2 6.678772+4 1.047129-2 6.484333+4 1.059254-2 6.294344+4 1.071519-2 6.108400+4 1.080000-2 5.984341+4 1.083927-2 5.928055+4 1.096478-2 5.752980+4 1.109175-2 5.583181+4 1.122018-2 5.418564+4 1.135011-2 5.258916+4 1.148154-2 5.102764+4 1.150000-2 5.081326+4 1.174898-2 4.802497+4 1.202264-2 4.520166+4 1.216186-2 4.385439+4 1.230269-2 4.254738+4 1.244515-2 4.128034+4 1.288250-2 3.769657+4 1.303167-2 3.657198+4 1.318257-2 3.548184+4 1.333521-2 3.442370+4 1.350000-2 3.332994+4 1.364583-2 3.239975+4 1.380384-2 3.143257+4 1.400000-2 3.028660+4 1.412538-2 2.958011+4 1.428894-2 2.869252+4 1.450000-2 2.760146+4 1.462177-2 2.699027+4 1.479108-2 2.617134+4 1.496236-2 2.537783+4 1.531087-2 2.386427+4 1.548817-2 2.314173+4 1.580000-2 2.194318+4 1.584893-2 2.176291+4 1.603245-2 2.110487+4 1.659587-2 1.923702+4 1.678804-2 1.865215+4 1.698244-2 1.808545+4 1.717908-2 1.753648+4 1.737801-2 1.700460+4 1.757924-2 1.648934+4 1.778279-2 1.598643+4 1.800000-2 1.547297+4 1.819701-2 1.502660+4 1.840772-2 1.456479+4 1.862087-2 1.411743+4 1.883649-2 1.368418+4 1.905461-2 1.326447+4 1.927525-2 1.285749+4 1.949845-2 1.246327+4 2.000000-2 1.163444+4 2.018366-2 1.134872+4 2.041738-2 1.099902+4 2.089296-2 1.033232+4 2.113489-2 1.001445+4 2.162719-2 9.407802+3 2.187762-2 9.117422+3 2.213095-2 8.835932+3 2.238721-2 8.563327+3 2.264644-2 8.299299+3 2.317395-2 7.792327+3 2.371374-2 7.316990+3 2.400000-2 7.081168+3 2.426610-2 6.871310+3 2.454709-2 6.658042+3 2.483133-2 6.450455+3 2.511886-2 6.249504+3 2.570396-2 5.866266+3 2.660725-2 5.336030+3 2.691535-2 5.170393+3 2.722701-2 5.009077+3 2.754229-2 4.852888+3 2.786121-2 4.701689+3 2.818383-2 4.554957+3 2.851018-2 4.412821+3 2.884032-2 4.275212+3 2.900000-2 4.210650+3 2.951209-2 4.011601+3 3.000000-2 3.833895+3 3.019952-2 3.764359+3 3.090295-2 3.531535+3 3.162278-2 3.313428+3 3.198895-2 3.209573+3 3.200000-2 3.206509+3 3.235937-2 3.109019+3 3.273407-2 3.011414+3 3.349654-2 2.825410+3 3.388442-2 2.736782+3 3.427678-2 2.650900+3 3.467369-2 2.567770+3 3.500000-2 2.501851+3 3.507519-2 2.486887+3 3.548134-2 2.408147+3 3.630781-2 2.258232+3 3.715352-2 2.117850+3 3.758374-2 2.051028+3 3.801894-2 1.986345+3 3.890451-2 1.863090+3 3.935501-2 1.804378+3 3.981072-2 1.747421+3 4.027170-2 1.692304+3 4.120975-2 1.587213+3 4.168694-2 1.536820+3 4.216965-2 1.487899+3 4.265795-2 1.440569+3 4.315191-2 1.394772+3 4.466836-2 1.266090+3 4.518559-2 1.225936+3 4.570882-2 1.187062+3 4.677351-2 1.112998+3 4.731513-2 1.077751+3 4.786301-2 1.043600+3 4.800000-2 1.035295+3 4.897788-2 9.784697+2 5.011872-2 9.169983+2 5.069907-2 8.877541+2 5.206000-2 8.238489+2 5.206000-2 4.499814+3 5.308844-2 4.288520+3 5.400000-2 4.112788+3 5.432503-2 4.045580+3 5.500000-2 3.910711+3 5.559043-2 3.806300+3 5.623413-2 3.696868+3 5.754399-2 3.487356+3 5.821032-2 3.382357+3 5.888437-2 3.280385+3 5.956621-2 3.181501+3 6.025596-2 3.085610+3 6.095369-2 2.992621+3 6.309573-2 2.730117+3 6.531306-2 2.492988+3 6.606934-2 2.418629+3 6.683439-2 2.346498+3 6.918310-2 2.142749+3 7.161434-2 1.956529+3 7.244360-2 1.896814+3 7.413102-2 1.782815+3 7.498942-2 1.728419+3 7.585776-2 1.675688+3 7.943282-2 1.480409+3 8.035261-2 1.434903+3 8.222426-2 1.348037+3 8.317638-2 1.306552+3 8.413951-2 1.266345+3 8.511380-2 1.227374+3 8.609938-2 1.189605+3 8.810489-2 1.117530+3 9.015711-2 1.049833+3 9.120108-2 1.017540+3 9.225714-2 9.862447+2 9.332543-2 9.559143+2 9.660509-2 8.704214+2 9.772372-2 8.432956+2 9.885531-2 8.170172+2 1.011580-1 7.668384+2 1.035142-1 7.197511+2 1.047129-1 6.973037+2 1.071519-1 6.544953+2 1.122019-1 5.766145+2 1.135011-1 5.586412+2 1.174898-1 5.080188+2 1.202264-1 4.768522+2 1.216186-1 4.619914+2 1.230269-1 4.474752+2 1.273503-1 4.065726+2 1.303167-1 3.814112+2 1.333521-1 3.578146+2 1.348963-1 3.465700+2 1.428894-1 2.954397+2 1.479108-1 2.684635+2 1.496236-1 2.600308+2 1.500000-1 2.582262+2 1.513561-1 2.518644+2 1.531088-1 2.439545+2 1.548817-1 2.362938+2 1.566751-1 2.288732+2 1.603245-1 2.147250+2 1.621810-1 2.079843+2 1.650000-1 1.982866+2 1.659587-1 1.951299+2 1.737801-1 1.717631+2 1.757924-1 1.663730+2 1.798871-1 1.560957+2 1.840772-1 1.464541+2 1.862087-1 1.418598+2 1.883649-1 1.374097+2 1.905461-1 1.330995+2 1.949845-1 1.248810+2 1.972423-1 1.209665+2 2.041738-1 1.099447+2 2.065380-1 1.064989+2 2.089296-1 1.031611+2 2.187762-1 9.082563+1 2.213095-1 8.797996+1 2.238721-1 8.525103+1 2.264644-1 8.260685+1 2.290868-1 8.004547+1 2.344229-1 7.516024+1 2.371374-1 7.283067+1 2.398833-1 7.057399+1 2.426610-1 6.838730+1 2.454709-1 6.626840+1 2.483133-1 6.421524+1 2.511886-1 6.222575+1 2.540973-1 6.030021+1 2.570396-1 5.843436+1 2.600160-1 5.662641+1 2.630268-1 5.487505+1 2.660725-1 5.317791+1 2.691535-1 5.153377+1 2.722701-1 4.995400+1 2.786121-1 4.693832+1 2.851018-1 4.410484+1 2.884032-1 4.275301+1 2.917427-1 4.144269+1 2.951209-1 4.017300+1 2.985383-1 3.894272+1 3.019952-1 3.777210+1 3.054921-1 3.663672+1 3.126079-1 3.447132+1 3.162278-1 3.343711+1 3.198895-1 3.243398+1 3.235937-1 3.146101+1 3.273407-1 3.051728+1 3.311311-1 2.960189+1 3.388442-1 2.785325+1 3.427678-1 2.701815+1 3.467369-1 2.620810+1 3.507519-1 2.542297+1 3.548134-1 2.466137+1 3.589219-1 2.393558+1 3.630781-1 2.323243+1 3.672823-1 2.254998+1 3.722400-1 2.178068+1 3.845918-1 2.001574+1 3.890451-1 1.942807+1 3.935501-1 1.885786+1 3.981072-1 1.830439+1 4.000000-1 1.808113+1 4.027170-1 1.776721+1 4.073803-1 1.725575+1 4.120975-1 1.675921+1 4.216965-1 1.581036+1 4.265795-1 1.535629+1 4.315191-1 1.491526+1 4.365158-1 1.448695+1 4.415705-1 1.407108+1 4.466836-1 1.366720+1 4.518559-1 1.327492+1 4.570882-1 1.289404+1 4.623810-1 1.253172+1 4.677351-1 1.217979+1 4.841724-1 1.118426+1 4.897788-1 1.087088+1 4.954502-1 1.056642+1 5.011872-1 1.027049+1 5.069907-1 9.982960+0 5.128614-1 9.703477+0 5.188000-1 9.438022+0 5.248075-1 9.179826+0 5.370318-1 8.685872+0 5.432503-1 8.448979+0 5.477200-1 8.284337+0 5.495409-1 8.218589+0 5.559043-1 7.994624+0 5.688529-1 7.564853+0 5.754399-1 7.358712+0 5.821032-1 7.162858+0 5.888437-1 6.972217+0 5.956621-1 6.787236+0 6.000000-1 6.673180+0 6.025596-1 6.607173+0 6.095369-1 6.431974+0 6.309573-1 5.933968+0 6.456542-1 5.623580+0 6.531306-1 5.478116+0 6.606935-1 5.336419+0 6.683439-1 5.198910+0 6.760830-1 5.064957+0 6.839117-1 4.934510+0 6.918310-1 4.807425+0 6.998420-1 4.683614+0 7.079458-1 4.562991+0 7.181900-1 4.416819+0 7.244360-1 4.332949+0 7.328245-1 4.223951+0 7.413102-1 4.117697+0 7.498942-1 4.014478+0 7.673615-1 3.815791+0 7.852356-1 3.626941+0 7.943282-1 3.536052+0 8.035261-1 3.449793+0 8.222427-1 3.283540+0 8.317638-1 3.203687+0 8.413951-1 3.125815+0 8.511380-1 3.049900+0 8.609938-1 2.975828+0 8.709636-1 2.903567+0 8.810489-1 2.833100+0 8.912509-1 2.766366+0 9.015711-1 2.701205+0 9.120108-1 2.637616+0 9.225714-1 2.575725+0 9.332543-1 2.515296+0 9.440609-1 2.456376+0 9.549926-1 2.398836+0 9.660509-1 2.342645+0 9.772372-1 2.287805+0 9.885531-1 2.235883+0 1.000000+0 2.185184+0 1.011579+0 2.135786+0 1.022000+0 2.092750+0 1.023293+0 2.087501+0 1.035142+0 2.040346+0 1.047129+0 1.994277+0 1.059254+0 1.949252+0 1.071519+0 1.905244+0 1.083927+0 1.862254+0 1.096478+0 1.820237+0 1.122018+0 1.739024+0 1.135011+0 1.700686+0 1.148154+0 1.663214+0 1.161449+0 1.626667+0 1.174898+0 1.590923+0 1.188502+0 1.556016+0 1.216186+0 1.488479+0 1.230269+0 1.455818+0 1.244515+0 1.423873+0 1.250000+0 1.411857+0 1.273503+0 1.362099+0 1.288250+0 1.333060+0 1.303167+0 1.304748+0 1.318257+0 1.277036+0 1.333521+0 1.249937+0 1.380384+0 1.172039+0 1.396368+0 1.147177+0 1.428894+0 1.099024+0 1.445440+0 1.076351+0 1.462177+0 1.054217+0 1.479108+0 1.032538+0 1.496236+0 1.011321+0 1.513561+0 9.905421-1 1.603245+0 8.928755-1 1.621810+0 8.750586-1 1.659587+0 8.405981-1 1.678804+0 8.239013-1 1.698244+0 8.075358-1 1.717908+0 7.915043-1 1.819701+0 7.159934-1 1.840772+0 7.021919-1 1.862087+0 6.887021-1 1.883649+0 6.754713-1 1.905461+0 6.625118-1 1.927525+0 6.498012-1 1.949845+0 6.373415-1 2.018366+0 6.013786-1 2.044000+0 5.887500-1 2.065380+0 5.785375-1 2.089296+0 5.677655-1 2.113489+0 5.572294-1 2.137962+0 5.468932-1 2.162719+0 5.367576-1 2.187762+0 5.268101-1 2.213095+0 5.170523-1 2.290868+0 4.888501-1 2.317395+0 4.797954-1 2.344229+0 4.709085-1 2.371374+0 4.624431-1 2.398833+0 4.541580-1 2.426610+0 4.460249-1 2.454709+0 4.380446-1 2.483133+0 4.302072-1 2.511886+0 4.225135-1 2.630268+0 3.930927-1 2.660725+0 3.860634-1 2.691535+0 3.791597-1 2.722701+0 3.725767-1 2.754229+0 3.661293-1 2.786121+0 3.597966-1 2.818383+0 3.535789-1 2.851018+0 3.474689-1 2.884032+0 3.414670-1 3.019952+0 3.184811-1 3.054921+0 3.129806-1 3.090295+0 3.075751-1 3.126079+0 3.024130-1 3.198895+0 2.923798-1 3.235937+0 2.874907-1 3.273407+0 2.826880-1 3.311311+0 2.779654-1 3.349654+0 2.733243-1 3.507519+0 2.555219-1 3.548134+0 2.512556-1 3.589219+0 2.470605-1 3.630781+0 2.430537-1 3.715352+0 2.352597-1 3.758374+0 2.314585-1 3.801894+0 2.277220-1 3.845918+0 2.240459-1 3.890451+0 2.204311-1 4.073803+0 2.065458-1 4.120975+0 2.032133-1 4.168694+0 1.999346-1 4.216965+0 1.967991-1 4.315191+0 1.906943-1 4.365158+0 1.877145-1 4.415704+0 1.847833-1 4.518559+0 1.790586-1 4.570882+0 1.762645-1 4.786301+0 1.655177-1 4.841724+0 1.629349-1 4.897788+0 1.603925-1 4.954502+0 1.579579-1 5.069907+0 1.532138-1 5.188000+0 1.486140-1 5.248075+0 1.463676-1 5.370318+0 1.419771-1 5.432503+0 1.398326-1 5.688529+0 1.315736-1 5.754399+0 1.295863-1 5.821032+0 1.276289-1 5.888437+0 1.257552-1 6.025596+0 1.221016-1 6.165950+0 1.185557-1 6.237348+0 1.168227-1 6.382635+0 1.134330-1 6.456542+0 1.117760-1 6.760830+0 1.053867-1 6.918310+0 1.023303-1 7.000000+0 1.008065-1 7.079458+0 9.939865-2 7.328245+0 9.522353-2 7.498942+0 9.253898-2 7.585776+0 9.122607-2 7.673615+0 8.993180-2 7.762471+0 8.865608-2 7.852356+0 8.739896-2 7.943282+0 8.615978-2 8.222427+0 8.254668-2 8.413951+0 8.022254-2 8.511380+0 7.908511-2 8.609938+0 7.799385-2 8.912509+0 7.481930-2 9.120108+0 7.277584-2 9.225714+0 7.177579-2 9.332543+0 7.078949-2 9.440609+0 6.981688-2 9.549926+0 6.885802-2 9.660509+0 6.791240-2 1.000000+1 6.515278-2 1.035142+1 6.250530-2 1.047129+1 6.164689-2 1.059254+1 6.082111-2 1.100000+1 5.819783-2 1.109175+1 5.763592-2 1.122018+1 5.686633-2 1.135011+1 5.610736-2 1.148154+1 5.535856-2 1.161449+1 5.461976-2 1.174898+1 5.389092-2 1.188502+1 5.317208-2 1.216186+1 5.176309-2 1.258925+1 4.971933-2 1.318257+1 4.711924-2 1.333521+1 4.649078-2 1.348963+1 4.588574-2 1.380384+1 4.470249-2 1.396368+1 4.412237-2 1.400000+1 4.399256-2 1.412538+1 4.355014-2 1.428894+1 4.298545-2 1.445440+1 4.242807-2 1.462177+1 4.187799-2 1.479108+1 4.133521-2 1.548817+1 3.923362-2 1.640590+1 3.675628-2 1.737801+1 3.443537-2 1.757924+1 3.399914-2 1.778279+1 3.356958-2 1.800000+1 3.312282-2 1.819701+1 3.272732-2 1.840772+1 3.231416-2 1.883649+1 3.150377-2 2.000000+1 2.948851-2 2.162719+1 2.705114-2 2.371374+1 2.443812-2 2.400000+1 2.412365-2 2.426610+1 2.383894-2 2.454709+1 2.354549-2 2.483133+1 2.325566-2 2.511886+1 2.296940-2 2.540973+1 2.268677-2 2.630268+1 2.185966-2 2.884032+1 1.979849-2 3.349654+1 1.685538-2 3.388442+1 1.665166-2 3.427678+1 1.645081-2 3.467369+1 1.625250-2 3.507519+1 1.605660-2 3.548134+1 1.586313-2 3.630781+1 1.548315-2 4.027170+1 1.388281-2 5.128614+1 1.076265-2 5.188000+1 1.063297-2 5.248075+1 1.050716-2 5.308844+1 1.038292-2 5.370318+1 1.026019-2 5.432503+1 1.013891-2 5.821032+1 9.440769-3 8.709636+1 6.226839-3 8.810489+1 6.153238-3 8.912509+1 6.081431-3 9.015711+1 6.010493-3 9.120108+1 5.940402-3 9.225714+1 5.871128-3 9.885531+1 5.472124-3 1.678804+2 3.190215-3 1.698244+2 3.153012-3 1.717908+2 3.116583-3 1.737801+2 3.080577-3 1.757924+2 3.044993-3 1.778279+2 3.009823-3 1.819701+2 2.940694-3 1.949845+2 2.742691-3 3.349654+2 1.588688-3 3.388442+2 1.570338-3 3.427678+2 1.552268-3 3.467369+2 1.534407-3 3.507519+2 1.516754-3 3.548134+2 1.499304-3 3.630781+2 1.465003-3 3.890451+2 1.366739-3 6.683439+2 7.933904-4 6.760830+2 7.842624-4 1.333521+3 3.972121-4 1.348963+3 3.926583-4 1.364583+3 3.881585-4 1.380384+3 3.837104-4 1.396368+3 3.793135-4 1.412538+3 3.749668-4 1.445440+3 3.664227-4 1.548817+3 3.419408-4 1.059254+4 4.989719-5 1.071519+4 4.932545-5 1.000000+5 5.284010-6 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.290000-6 5.290000-6 9.530000-6 5.290000-6 9.530000-6 8.315296-6 1.039000-5 8.567408-6 1.039000-5 9.252076-6 1.165000-5 9.460510-6 1.290000-5 9.597402-6 1.450000-5 9.695559-6 1.698244-5 9.757506-6 2.759000-5 9.813215-6 2.759000-5 2.565773-5 2.970000-5 2.463901-5 3.224000-5 2.323204-5 3.224000-5 2.691225-5 3.589219-5 2.501112-5 4.415704-5 2.032953-5 4.570882-5 1.949707-5 4.786301-5 1.840892-5 4.900000-5 1.787138-5 5.128614-5 1.687388-5 5.217000-5 1.652181-5 5.217000-5 1.675275-5 5.400000-5 1.608449-5 5.500000-5 1.574896-5 5.688529-5 1.518222-5 5.900000-5 1.462624-5 6.165950-5 1.404329-5 6.309573-5 1.377224-5 6.500000-5 1.345335-5 6.683439-5 1.319059-5 7.000000-5 1.281174-5 7.328245-5 1.250340-5 7.585776-5 1.230746-5 8.035261-5 1.203893-5 8.511380-5 1.182948-5 9.150000-5 1.162991-5 1.011579-4 1.143063-5 1.122018-4 1.129205-5 1.273503-4 1.118551-5 1.513561-4 1.111562-5 1.542900-4 1.111158-5 1.542900-4 1.250263-5 1.575000-4 1.289214-5 1.605900-4 1.329564-5 1.605900-4 1.417210-5 1.636000-4 1.462544-5 1.659587-4 1.491362-5 1.683000-4 1.511297-5 1.707000-4 1.521265-5 1.733000-4 1.521101-5 1.761000-4 1.510960-5 1.800000-4 1.486556-5 1.930000-4 1.389658-5 2.000000-4 1.345568-5 2.060000-4 1.316194-5 2.113489-4 1.297391-5 2.170000-4 1.284370-5 2.240000-4 1.276921-5 2.317395-4 1.278383-5 2.400000-4 1.288637-5 2.511886-4 1.312801-5 2.660725-4 1.357095-5 2.810400-4 1.409129-5 2.810400-4 1.695185-5 3.160000-4 1.833077-5 3.160000-4 1.919076-5 3.550000-4 2.067672-5 3.883900-4 2.183524-5 3.883900-4 2.357161-5 4.315191-4 2.495297-5 4.786301-4 2.623541-5 5.308844-4 2.745123-5 5.754399-4 2.833793-5 6.382635-4 2.940839-5 7.079458-4 3.042192-5 7.943282-4 3.146796-5 9.120108-4 3.263283-5 1.047129-3 3.371801-5 1.230269-3 3.489943-5 1.244600-3 3.498139-5 1.244600-3 5.347437-5 1.279000-3 5.362777-5 1.279000-3 5.671248-5 1.345000-3 5.744070-5 1.420600-3 5.781035-5 1.596800-3 5.779419-5 1.596800-3 6.241582-5 1.753400-3 6.279508-5 1.753400-3 6.499355-5 1.935800-3 6.566159-5 1.935800-3 6.797942-5 2.511886-3 7.040435-5 3.198895-3 7.276476-5 3.935501-3 7.485212-5 4.897788-3 7.707918-5 6.095369-3 7.929020-5 7.505300-3 8.136409-5 7.505300-3 1.092045-4 8.260900-3 1.096332-4 8.260900-3 1.161156-4 8.673100-3 1.162749-4 8.673100-3 1.220675-4 1.244515-2 1.245606-4 1.840772-2 1.272584-4 2.660725-2 1.297981-4 3.801894-2 1.321853-4 5.206000-2 1.341776-4 5.206000-2 1.295395-4 1.428894-1 1.302049-4 5.370318-1 1.306160-4 1.000000+5 1.306701-4 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.290000-6 0.0 1.605900-4 0.0 1.605900-4 8.21620-10 1.610500-4 8.39677-10 1.618000-4 8.75381-10 1.630000-4 9.43343-10 1.636000-4 9.80929-10 1.644000-4 1.033702-9 1.673000-4 1.236690-9 1.683000-4 1.301834-9 1.692000-4 1.355333-9 1.700000-4 1.397561-9 1.707000-4 1.430396-9 1.715000-4 1.461832-9 1.725000-4 1.492039-9 1.733000-4 1.511129-9 1.740000-4 1.522165-9 1.750000-4 1.531329-9 1.761000-4 1.532696-9 1.772000-4 1.526612-9 1.785000-4 1.511386-9 1.800000-4 1.485631-9 1.820000-4 1.443107-9 1.842000-4 1.388005-9 1.865000-4 1.325534-9 1.905461-4 1.210189-9 1.965000-4 1.047913-9 2.000000-4 9.60681-10 2.030000-4 8.91724-10 2.050000-4 8.49439-10 2.080000-4 7.92288-10 2.113489-4 7.37535-10 2.142000-4 6.98010-10 2.170000-4 6.65473-10 2.198000-4 6.38834-10 2.220000-4 6.22057-10 2.240000-4 6.10032-10 2.264644-4 5.98688-10 2.290868-4 5.90606-10 2.317395-4 5.86310-10 2.344229-4 5.85572-10 2.371374-4 5.88354-10 2.400000-4 5.95221-10 2.430000-4 6.05867-10 2.465000-4 6.22265-10 2.500000-4 6.42429-10 2.540973-4 6.70845-10 2.600160-4 7.18797-10 2.660725-4 7.74145-10 2.691535-4 8.04467-10 2.786121-4 9.04547-10 2.810400-4 9.31343-10 2.810400-4 1.815944-9 2.951209-4 1.990495-9 3.160000-4 2.255060-9 3.160000-4 2.743746-9 3.430000-4 3.102705-9 3.715352-4 3.458735-9 3.883900-4 3.657485-9 3.883900-4 4.218402-9 4.168694-4 4.545363-9 4.365158-4 4.753894-9 4.472100-4 4.863822-9 4.850000-4 5.214356-9 5.248075-4 5.544903-9 5.559043-4 5.775704-9 5.956621-4 6.040005-9 6.382635-4 6.296062-9 6.918310-4 6.581869-9 7.500000-4 6.852953-9 8.128305-4 7.110129-9 9.015711-4 7.426785-9 9.885531-4 7.689822-9 1.083927-3 7.944859-9 1.230269-3 8.279259-9 1.244600-3 8.307519-9 1.244600-3 9.300259-9 1.279000-3 9.325994-9 1.279000-3 1.777207-6 1.293000-3 1.839648-6 1.317000-3 1.974656-6 1.345000-3 2.081759-6 1.355000-3 2.107648-6 1.380384-3 2.194108-6 1.390000-3 2.228162-6 1.396368-3 2.246131-6 1.420600-3 2.290784-6 1.445440-3 2.317722-6 1.596800-3 2.301307-6 1.596800-3 2.354482-6 1.753400-3 2.347866-6 1.753400-3 2.596033-6 1.935800-3 2.617967-6 1.935800-3 2.719460-6 2.238721-3 2.769108-6 2.951209-3 2.862336-6 3.935501-3 2.962118-6 4.897788-3 3.039300-6 6.237348-3 3.123562-6 7.505300-3 3.187086-6 7.505300-3 7.484953-4 7.762471-3 7.514286-4 8.260900-3 7.509079-4 8.260900-3 9.731766-4 8.673100-3 9.746877-4 8.673100-3 1.029918-3 1.150000-2 1.041667-3 1.757924-2 1.053401-3 2.851018-2 1.062669-3 5.069907-2 1.070957-3 5.206000-2 1.071198-3 5.206000-2 3.614936-2 5.888437-2 3.638655-2 7.585776-2 3.672365-2 1.071519-1 3.701381-2 1.757924-1 3.724385-2 4.677351-1 3.742841-2 1.174898+0 3.758263-2 1.000000+5 3.757279-2 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.290000-6 0.0 9.530000-6 4.240000-6 9.530000-6 1.214704-6 9.772372-6 1.383613-6 1.020000-5 1.685821-6 1.039000-5 1.822592-6 1.039000-5 1.137924-6 1.085000-5 1.513254-6 1.130000-5 1.889822-6 1.170000-5 2.232901-6 1.216186-5 2.637891-6 1.290000-5 3.302598-6 1.380384-5 4.142588-6 1.515000-5 5.430623-6 1.750000-5 7.736496-6 2.759000-5 1.777679-5 2.759000-5 1.932265-6 2.820000-5 2.820103-6 2.884032-5 3.766768-6 2.970000-5 5.060987-6 3.054921-5 6.363055-6 3.224000-5 9.007965-6 3.224000-5 5.327746-6 3.311311-5 6.636280-6 3.507519-5 9.622619-6 3.801894-5 1.419569-5 4.415704-5 2.382751-5 4.731513-5 2.863920-5 5.069907-5 3.358072-5 5.217000-5 3.564819-5 5.217000-5 3.541725-5 5.500000-5 3.925104-5 5.900000-5 4.437376-5 6.309573-5 4.932349-5 6.918310-5 5.628218-5 7.762471-5 6.543284-5 9.300000-5 8.140787-5 1.333521-4 1.221926-4 1.542900-4 1.431784-4 1.542900-4 1.417874-4 1.605900-4 1.472944-4 1.605900-4 1.464171-4 1.692000-4 1.540353-4 1.785000-4 1.635304-4 2.089296-4 1.958775-4 2.400000-4 2.271130-4 2.810400-4 2.669478-4 2.810400-4 2.640863-4 3.160000-4 2.976670-4 3.160000-4 2.968065-4 3.883900-4 3.665511-4 3.883900-4 3.648142-4 6.025596-4 5.737302-4 1.174898-3 1.140320-3 1.244600-3 1.209610-3 1.244600-3 1.191116-3 1.279000-3 1.225363-3 1.279000-3 1.220510-3 1.596800-3 1.536704-3 1.596800-3 1.532030-3 1.753400-3 1.688257-3 1.753400-3 1.685810-3 1.935800-3 1.867520-3 1.935800-3 1.865101-3 7.505300-3 7.420749-3 7.505300-3 6.647600-3 8.260900-3 7.400359-3 8.260900-3 7.171608-3 8.673100-3 7.582137-3 8.673100-3 7.521114-3 4.027170-2 3.907118-2 5.206000-2 5.085463-2 5.206000-2 1.578110-2 5.432503-2 1.794077-2 6.095369-2 2.439335-2 7.585776-2 3.900428-2 1.230269-1 8.579919-2 1.949845+0 1.912141+0 1.000000+5 9.999997+4 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 5.206000-2 3.675965+3 5.400000-2 3.369580+3 5.500000-2 3.204900+3 5.754399-2 2.865803+3 6.309573-2 2.250928+3 7.161434-2 1.621693+3 7.943282-2 1.230753+3 9.660509-2 7.271665+2 1.216186-1 3.875419+2 2.213095-1 7.421656+1 2.691535-1 4.351603+1 2.985383-1 3.289668+1 3.548134-1 2.085151+1 4.027170-1 1.503101+1 4.570882-1 1.091427+1 5.128614-1 8.217830+0 5.754399-1 6.235726+0 6.456542-1 4.768239+0 7.181900-1 3.747115+0 7.943282-1 3.001528+0 8.810489-1 2.406419+0 9.772372-1 1.944302+0 1.122018+0 1.478337+0 1.273503+0 1.157925+0 1.428894+0 9.341803-1 1.603245+0 7.588852-1 1.819701+0 6.085505-1 2.065380+0 4.917274-1 2.344229+0 4.002496-1 2.691535+0 3.222684-1 3.090295+0 2.614254-1 3.589219+0 2.099907-1 4.168694+0 1.699362-1 4.897788+0 1.363270-1 5.821032+0 1.084800-1 7.000000+0 8.568200-2 8.511380+0 6.721925-2 1.047129+1 5.239767-2 1.333521+1 3.951553-2 1.737801+1 2.926946-2 2.371374+1 2.077197-2 3.349654+1 1.432693-2 5.188000+1 9.038138-3 8.810489+1 5.230323-3 1.698244+2 2.680105-3 3.388442+2 1.334818-3 6.760830+2 6.665522-4 1.071519+4 4.192364-5 1.000000+5 4.491500-6 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 5.206000-2 1.285000-4 1.000000+5 1.285000-4 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.206000-2 4.401100-2 1.000000+5 4.401100-2 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.206000-2 7.920500-3 1.000000+5 9.999996+4 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 8.673100-3 1.418680+4 8.785000-3 1.376856+4 9.015711-3 1.320343+4 9.225714-3 1.267967+4 9.549926-3 1.200086+4 1.035142-2 1.040311+4 1.135011-2 8.867527+3 1.318257-2 6.706881+3 1.400000-2 5.987780+3 1.757924-2 3.820120+3 1.949845-2 3.086523+3 2.264644-2 2.257010+3 2.691535-2 1.552406+3 3.019952-2 1.201966+3 3.500000-2 8.602720+2 4.120975-2 5.883887+2 4.897788-2 3.899398+2 5.821032-2 2.559699+2 6.918310-2 1.665354+2 8.222426-2 1.074936+2 9.885531-2 6.686820+1 1.230269-1 3.772167+1 1.621810-1 1.813390+1 2.511886-1 5.667704+0 3.054921-1 3.391456+0 3.589219-1 2.237910+0 4.120975-1 1.577849+0 4.677351-1 1.152882+0 5.248075-1 8.723429-1 5.888437-1 6.645781-1 6.606935-1 5.098479-1 7.413102-1 3.939896-1 8.222427-1 3.144240-1 9.120108-1 2.527153-1 1.000000+0 2.094582-1 1.148154+0 1.594451-1 1.288250+0 1.278240-1 1.445440+0 1.031981-1 1.621810+0 8.389319-2 1.840772+0 6.732023-2 2.089296+0 5.443364-2 2.371374+0 4.433558-2 2.722701+0 3.571963-2 3.126079+0 2.899169-2 3.630781+0 2.330153-2 4.216965+0 1.886715-2 4.954502+0 1.514346-2 5.888437+0 1.205578-2 7.079458+0 9.529537-3 8.609938+0 7.477386-3 1.059254+1 5.831080-3 1.348963+1 4.399382-3 1.757924+1 3.259780-3 2.400000+1 2.312900-3 3.388442+1 1.596589-3 5.188000+1 1.019606-3 8.810489+1 5.900531-4 1.698244+2 3.023516-4 3.388442+2 1.505800-4 1.348963+3 3.762507-5 1.000000+5 5.067000-7 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 8.673100-3 1.591200-4 1.000000+5 1.591200-4 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 8.673100-3 1.383200-3 1.000000+5 1.383200-3 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 8.673100-3 7.130780-3 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 8.260900-3 2.796915+4 8.340000-3 2.729371+4 8.500000-3 2.621800+4 9.015711-3 2.261100+4 1.047129-2 1.528300+4 1.150000-2 1.186800+4 1.350000-2 7.620500+3 1.603245-2 4.714200+3 2.000000-2 2.491700+3 2.426610-2 1.409000+3 2.786121-2 9.314500+2 3.235937-2 5.921100+2 3.935501-2 3.247400+2 4.800000-2 1.752200+2 6.095369-2 8.275700+1 1.273503-1 8.007009+0 1.603245-1 3.883265+0 1.949845-1 2.114216+0 2.290868-1 1.290498+0 2.660725-1 8.220395-1 3.054921-1 5.461390-1 3.467369-1 3.781058-1 3.890451-1 2.724984-1 4.365158-1 1.978226-1 4.897788-1 1.447046-1 5.477200-1 1.076191-1 6.095369-1 8.166340-2 6.760830-1 6.295230-2 7.498942-1 4.889140-2 8.317638-1 3.814538-2 9.015711-1 3.167030-2 9.660509-1 2.719343-2 1.035142+0 2.352605-2 1.135011+0 1.954759-2 1.250000+0 1.622630-2 1.380384+0 1.350898-2 1.659587+0 9.725906-3 1.883649+0 7.812889-3 2.113489+0 6.445876-3 2.398833+0 5.253912-3 2.754229+0 4.236060-3 3.198895+0 3.382290-3 3.715352+0 2.721660-3 4.315191+0 2.206132-3 5.069907+0 1.772545-3 6.025596+0 1.412508-3 7.328245+0 1.101530-3 8.912509+0 8.655135-4 1.109175+1 6.667070-4 1.396368+1 5.105016-4 1.778279+1 3.884870-4 2.426610+1 2.758896-4 3.427678+1 1.903946-4 5.248075+1 1.216164-4 8.912509+1 7.039270-5 1.717908+2 3.607497-5 3.427678+2 1.796817-5 1.364583+3 4.489827-6 1.000000+5 6.116600-8 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 8.260900-3 1.335100-4 1.000000+5 1.335100-4 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 8.260900-3 1.569600-3 1.000000+5 1.569600-3 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 8.260900-3 6.557790-3 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 7.505300-3 6.102164+4 7.720000-3 5.731680+4 8.128305-3 5.005105+4 9.549926-3 3.220760+4 1.059254-2 2.404683+4 1.244515-2 1.510997+4 1.450000-2 9.696040+3 1.819701-2 4.911018+3 2.162719-2 2.893520+3 2.454709-2 1.952836+3 2.900000-2 1.155768+3 3.467369-2 6.531939+2 4.168694-2 3.597915+2 5.069907-2 1.894311+2 6.309573-2 9.176225+1 8.413951-2 3.504234+1 1.303167-1 8.067900+0 1.650000-1 3.675035+0 1.949845-1 2.121619+0 2.264644-1 1.305996+0 2.600160-1 8.404937-1 2.951209-1 5.654540-1 3.311311-1 3.973159-1 3.672823-1 2.911902-1 4.073803-1 2.148900-1 4.518559-1 1.597780-1 5.011872-1 1.197722-1 5.495409-1 9.334119-2 6.025596-1 7.322846-2 6.606935-1 5.785449-2 7.244360-1 4.602393-2 7.943282-1 3.686777-2 8.709636-1 2.965144-2 9.332543-1 2.535085-2 9.885531-1 2.237343-2 1.071519+0 1.894485-2 1.174898+0 1.578404-2 1.288250+0 1.324903-2 1.428894+0 1.096607-2 1.698244+0 8.070552-3 1.927525+0 6.491318-3 2.187762+0 5.262609-3 2.483133+0 4.297257-3 2.851018+0 3.470941-3 3.311311+0 2.776303-3 3.845918+0 2.237942-3 4.518559+0 1.788547-3 5.370318+0 1.418122-3 6.382635+0 1.132960-3 7.762471+0 8.854727-4 9.440609+0 6.973314-4 1.174898+1 5.382545-4 1.462177+1 4.183545-4 1.840772+1 3.228622-4 2.511886+1 2.295232-4 3.507519+1 1.604650-4 5.308844+1 1.037825-4 9.015711+1 6.008033-5 1.737801+2 3.079477-5 3.467369+2 1.533904-5 1.380384+3 3.833109-6 1.000000+5 5.282500-8 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 7.505300-3 1.251400-4 1.000000+5 1.251400-4 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 7.505300-3 1.175100-3 1.000000+5 1.175100-3 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 7.505300-3 6.205060-3 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 1.935800-3 4.192816+4 2.000000-3 4.045314+4 2.018366-3 3.995524+4 2.041738-3 3.943274+4 2.320000-3 3.333820+4 2.426610-3 3.126922+4 2.851018-3 2.468616+4 3.311311-3 1.967531+4 3.589219-3 1.728446+4 4.365158-3 1.249310+4 4.897788-3 1.023211+4 5.688529-3 7.850707+3 6.839116-3 5.600126+3 7.852356-3 4.315566+3 9.120108-3 3.234314+3 1.083927-2 2.299567+3 1.288250-2 1.620964+3 1.531087-2 1.133161+3 1.800000-2 8.041680+2 2.113489-2 5.680659+2 2.454709-2 4.081543+2 2.884032-2 2.838739+2 3.388442-2 1.959513+2 4.027170-2 1.306616+2 4.731513-2 8.883874+1 5.623413-2 5.830575+1 6.683439-2 3.796983+1 8.035261-2 2.383359+1 9.660509-2 1.484988+1 1.202264-1 8.396986+0 1.548817-1 4.307911+0 2.371374-1 1.391236+0 2.917427-1 8.078627-1 3.467369-1 5.169884-1 4.027170-1 3.537141-1 4.623810-1 2.511706-1 5.248075-1 1.848699-1 5.888437-1 1.408598-1 6.606935-1 1.081034-1 7.413102-1 8.357280-2 8.413951-1 6.349140-2 9.332543-1 5.107345-2 1.023293+0 4.238607-2 1.174898+0 3.230249-2 1.318257+0 2.593271-2 1.479108+0 2.096568-2 1.659587+0 1.706810-2 1.883649+0 1.371581-2 2.137962+0 1.110491-2 2.426610+0 9.056228-3 2.786121+0 7.305661-3 3.235937+0 5.836478-3 3.758374+0 4.699285-3 4.365158+0 3.811201-3 5.188000+0 3.017032-3 6.165950+0 2.406727-3 7.498942+0 1.878588-3 9.120108+0 1.477324-3 1.122018+1 1.154509-3 1.400000+1 8.933500-4 1.778279+1 6.818560-4 2.426610+1 4.842223-4 3.427678+1 3.341633-4 5.248075+1 2.134600-4 8.912509+1 1.235499-4 1.698244+2 6.405989-5 3.388442+2 3.190454-5 6.760830+2 1.593161-5 1.071519+4 1.002103-6 1.000000+5 1.073600-7 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 1.935800-3 1.206200-4 1.000000+5 1.206200-4 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.935800-3 5.024500-6 1.000000+5 5.024500-6 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 1.935800-3 1.810156-3 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.753400-3 6.804944+4 1.778279-3 6.699750+4 1.827000-3 6.477607+4 2.000000-3 5.870460+4 2.089296-3 5.567807+4 2.300000-3 4.900300+4 2.511886-3 4.326764+4 2.722701-3 3.836875+4 2.951209-3 3.376967+4 3.162278-3 3.008590+4 3.672823-3 2.312459+4 3.935501-3 2.037812+4 4.365158-3 1.670237+4 4.841724-3 1.361781+4 5.308844-3 1.127455+4 6.025596-3 8.630713+3 6.606934-3 7.060057+3 7.500000-3 5.314680+3 8.413951-3 4.074362+3 9.440609-3 3.102453+3 1.080000-2 2.236220+3 1.216186-2 1.662627+3 1.380384-2 1.203578+3 1.580000-2 8.460480+2 1.819701-2 5.803566+2 2.089296-2 3.982687+2 2.426610-2 2.626774+2 2.818383-2 1.718375+2 3.273407-2 1.115650+2 3.801894-2 7.194737+1 4.518559-2 4.303012+1 5.432503-2 2.467459+1 6.683439-2 1.309647+1 8.810489-2 5.575549+0 1.479108-1 1.115418+0 1.840772-1 5.688660-1 2.089296-1 3.871060-1 2.570396-1 2.082258-1 2.951209-1 1.385986-1 3.388442-1 9.293411-2 3.845918-1 6.491267-2 4.315191-1 4.717550-2 4.841724-1 3.454029-2 5.370318-1 2.627442-2 6.000000-1 1.975558-2 6.683439-1 1.507866-2 7.413102-1 1.171636-2 8.609938-1 8.221797-3 9.225714-1 7.024365-3 9.885531-1 6.043263-3 1.071519+0 5.117232-3 1.174898+0 4.263491-3 1.288250+0 3.578756-3 1.428894+0 2.962071-3 1.698244+0 2.179674-3 1.927525+0 1.753180-3 2.187762+0 1.421635-3 2.511886+0 1.140067-3 2.884032+0 9.213041-4 3.311311+0 7.498772-4 3.845918+0 6.044691-4 4.518559+0 4.830745-4 5.370318+0 3.830177-4 6.382635+0 3.060065-4 7.762471+0 2.391653-4 9.440609+0 1.883463-4 1.174898+1 1.453785-4 1.462177+1 1.129933-4 1.840772+1 8.720332-5 2.511886+1 6.199359-5 3.507519+1 4.334040-5 5.308844+1 2.803084-5 9.015711+1 1.622759-5 1.757924+2 8.221095-6 3.507519+2 4.095416-6 1.396368+3 1.023447-6 1.000000+5 1.426800-8 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.753400-3 1.013100-4 1.000000+5 1.013100-4 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.753400-3 6.695500-6 1.000000+5 6.695500-6 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.753400-3 1.645395-3 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.596800-3 1.842016+5 1.678804-3 1.714254+5 1.778279-3 1.590207+5 1.900000-3 1.448484+5 2.089296-3 1.251342+5 2.344229-3 1.039619+5 2.570396-3 8.892341+4 2.818383-3 7.546483+4 3.162278-3 6.074781+4 3.507519-3 4.978189+4 3.801894-3 4.234198+4 4.400000-3 3.125808+4 4.800000-3 2.592816+4 5.500000-3 1.917832+4 6.095369-3 1.516449+4 6.918310-3 1.127009+4 7.852356-3 8.300049+3 8.735000-3 6.378133+3 1.000000-2 4.526920+3 1.148154-2 3.159584+3 1.288250-2 2.325346+3 1.450000-2 1.686876+3 1.659587-2 1.160531+3 1.905461-2 7.850837+2 2.187762-2 5.268971+2 2.511886-2 3.509376+2 2.884032-2 2.320653+2 3.349654-2 1.471396+2 3.890451-2 9.259729+1 4.570882-2 5.581254+1 5.432503-2 3.219514+1 6.531306-2 1.776301+1 8.317638-2 8.067065+0 1.500000-1 1.156152+0 1.840772-1 5.927345-1 2.187762-1 3.397724-1 2.511886-1 2.191550-1 2.851018-1 1.476312-1 3.198895-1 1.037794-1 3.589219-1 7.348714-2 4.000000-1 5.350210-2 4.415705-1 4.034523-2 4.897788-1 3.022924-2 5.432503-1 2.281268-2 6.000000-1 1.754603-2 6.606935-1 1.371316-2 7.244360-1 1.091268-2 7.943282-1 8.744945-3 8.709636-1 7.035518-3 9.332543-1 6.016200-3 9.885531-1 5.310104-3 1.071519+0 4.496545-3 1.174898+0 3.746306-3 1.288250+0 3.144568-3 1.428894+0 2.602713-3 1.698244+0 1.915553-3 1.927525+0 1.540717-3 2.187762+0 1.248999-3 2.483133+0 1.019866-3 2.851018+0 8.237696-4 3.311311+0 6.589197-4 3.845918+0 5.311495-4 4.518559+0 4.244827-4 5.370318+0 3.365595-4 6.382635+0 2.688904-4 7.852356+0 2.071768-4 9.549926+0 1.632323-4 1.188502+1 1.260463-4 1.479108+1 9.799930-5 1.883649+1 7.469200-5 2.540973+1 5.380075-5 3.507519+1 3.808358-5 5.308844+1 2.463107-5 9.015711+1 1.425890-5 1.737801+2 7.308637-6 3.467369+2 3.640537-6 1.380384+3 9.097455-7 1.000000+5 1.253700-8 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.596800-3 9.275000-5 1.000000+5 9.275000-5 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.596800-3 2.703500-6 1.000000+5 2.703500-6 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.596800-3 1.501347-3 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.279000-3 4.395553+5 1.293000-3 4.528699+5 1.317000-3 4.852552+5 1.345000-3 5.060775+5 1.390000-3 5.203144+5 1.396368-3 5.207528+5 1.420600-3 5.144816+5 1.445440-3 5.022454+5 1.698244-3 3.367610+5 1.862087-3 2.662724+5 2.041738-3 2.089898+5 2.213095-3 1.681028+5 2.400000-3 1.343456+5 2.722701-3 9.409993+4 3.000000-3 7.085920+4 3.400000-3 4.887120+4 3.801894-3 3.475657+4 4.315191-3 2.347254+4 4.897788-3 1.569967+4 5.432503-3 1.123949+4 6.237348-3 7.133085+3 7.000000-3 4.845040+3 7.943282-3 3.149112+3 9.120108-3 1.950002+3 1.035142-2 1.247673+3 1.174898-2 7.930499+2 1.350000-2 4.788720+2 1.548817-2 2.886396+2 1.778279-2 1.722560+2 2.041738-2 1.021154+2 2.400000-2 5.494080+1 2.851018-2 2.815511+1 3.427678-2 1.365911+1 4.265795-2 5.736689+0 5.623413-2 1.899321+0 9.120108-2 2.730634-1 1.122019-1 1.196398-1 1.333521-1 6.056000-2 1.566751-1 3.231019-2 1.798871-1 1.897977-2 2.065380-1 1.123046-2 2.344229-1 6.992062-3 2.630268-1 4.575462-3 2.951209-1 3.015207-3 3.311311-1 2.000925-3 3.672823-1 1.393933-3 4.027170-1 1.017953-3 4.415705-1 7.492945-4 4.841724-1 5.552112-4 5.370318-1 3.992475-4 5.956621-1 2.893793-4 6.606935-1 2.112075-4 7.244360-1 1.608011-4 8.609938-1 9.797153-5 9.120108-1 8.368522-5 9.549926-1 7.422318-5 1.000000+0 6.626195-5 1.047129+0 5.959349-5 1.096478+0 5.397002-5 1.161449+0 4.807387-5 1.230269+0 4.313306-5 1.333521+0 3.731710-5 1.479108+0 3.124611-5 1.862087+0 2.089991-5 2.065380+0 1.754975-5 2.344229+0 1.428342-5 2.691535+0 1.150058-5 3.090295+0 9.329665-6 3.589219+0 7.494190-6 4.168694+0 6.064790-6 4.897788+0 4.865324-6 5.821032+0 3.871291-6 7.000000+0 3.057800-6 8.511380+0 2.398855-6 1.047129+1 1.869940-6 1.333521+1 1.410185-6 1.737801+1 1.044577-6 2.371374+1 7.413132-7 3.349654+1 5.112947-7 5.188000+1 3.225465-7 8.810489+1 1.866604-7 1.698244+2 9.564747-8 3.388442+2 4.763532-8 1.348963+3 1.190214-8 1.000000+5 1.60290-10 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.279000-3 6.595100-5 1.000000+5 6.595100-5 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.279000-3 7.071900-6 1.000000+5 7.071900-6 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.279000-3 1.205977-3 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.244600-3 9.576748+5 1.355000-3 8.542328+5 1.364583-3 8.414726+5 1.462177-3 7.058112+5 1.650000-3 5.214852+5 1.800000-3 4.168650+5 1.972423-3 3.272379+5 2.162719-3 2.545633+5 2.371374-3 1.968805+5 2.660725-3 1.418282+5 2.917427-3 1.081103+5 3.349654-3 7.146354+4 3.715352-3 5.194035+4 4.168694-3 3.624297+4 4.731513-3 2.417949+4 5.308844-3 1.662241+4 6.025596-3 1.091937+4 6.839116-3 7.114940+3 7.673615-3 4.787499+3 8.709636-3 3.074293+3 1.000000-2 1.880616+3 1.150000-2 1.134234+3 1.333521-2 6.579210+2 1.531087-2 3.926066+2 1.757924-2 2.325214+2 2.018366-2 1.367131+2 2.317395-2 7.984171+1 2.722701-2 4.230257+1 3.200000-2 2.221494+1 3.801894-2 1.109298+1 4.677351-2 4.777281+0 9.120108-2 3.088620-1 1.135011-1 1.267250-1 1.333521-1 6.619001-2 1.531088-1 3.819077-2 1.737801-1 2.322426-2 1.949845-1 1.487375-2 2.187762-1 9.592707-3 2.426610-1 6.508521-3 2.691535-1 4.448143-3 2.951209-1 3.192625-3 3.235937-1 2.307207-3 3.548134-1 1.679302-3 3.890451-1 1.231324-3 4.265795-1 9.097702-4 4.677351-1 6.774835-4 5.128614-1 5.085531-4 5.559043-1 3.983512-4 6.025596-1 3.141543-4 6.531306-1 2.495169-4 7.079458-1 1.996802-4 7.852356-1 1.514499-4 8.413951-1 1.268493-4 8.912509-1 1.100848-4 9.440609-1 9.612992-5 1.000000+0 8.452720-5 1.071519+0 7.307998-5 1.148154+0 6.362888-5 1.250000+0 5.408743-5 1.380384+0 4.510610-5 1.717908+0 3.063171-5 1.949845+0 2.464890-5 2.213095+0 1.999695-5 2.511886+0 1.633947-5 2.884032+0 1.320659-5 3.349654+0 1.057036-5 3.890451+0 8.525627-6 4.570882+0 6.817367-6 5.432503+0 5.408065-6 6.456542+0 4.322843-6 7.943282+0 3.332256-6 9.660509+0 2.626559-6 1.216186+1 2.001913-6 1.548817+1 1.517380-6 2.000000+1 1.140400-6 2.630268+1 8.456293-7 3.630781+1 5.990068-7 5.432503+1 3.923489-7 9.225714+1 2.272155-7 1.819701+2 1.138046-7 3.630781+2 5.670743-8 1.445440+3 1.417328-8 1.000000+5 2.04540-10 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.244600-3 6.148900-5 1.000000+5 6.148900-5 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.244600-3 9.730500-9 1.000000+5 9.730500-9 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.244600-3 1.183101-3 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 3.883900-4 9.782377+4 4.265795-4 9.326117+4 4.390000-4 9.134660+4 5.188000-4 7.993330+4 5.559043-4 7.517523+4 6.025596-4 6.923249+4 6.918310-4 5.971260+4 7.500000-4 5.435500+4 8.609938-4 4.575717+4 9.549926-4 3.996155+4 1.083927-3 3.353728+4 1.216186-3 2.843445+4 1.412538-3 2.272248+4 1.603245-3 1.866754+4 1.862087-3 1.468538+4 2.187762-3 1.124685+4 2.570396-3 8.545579+3 3.054921-3 6.317412+3 3.630781-3 4.635510+3 4.365158-3 3.307458+3 5.308844-3 2.292648+3 6.456542-3 1.576965+3 7.762471-3 1.101034+3 9.332543-3 7.631188+2 1.122018-2 5.248405+2 1.333521-2 3.667988+2 1.584893-2 2.545441+2 1.883649-2 1.753858+2 2.238721-2 1.199554+2 2.660725-2 8.142338+1 3.162278-2 5.483862+1 3.758374-2 3.664001+1 4.466836-2 2.429064+1 5.308844-2 1.597861+1 6.309573-2 1.042699+1 7.585776-2 6.563058+0 9.015711-2 4.221090+0 1.122019-1 2.393521+0 1.479108-1 1.158694+0 2.371374-1 3.313876-1 2.917427-1 1.924707-1 3.467369-1 1.232003-1 4.027170-1 8.430603-2 4.623810-1 5.986735-2 5.248075-1 4.406485-2 5.888437-1 3.357569-2 6.606935-1 2.577139-2 7.413102-1 1.992652-2 8.413951-1 1.514055-2 9.332543-1 1.217985-2 1.023293+0 1.010750-2 1.174898+0 7.702854-3 1.318257+0 6.184163-3 1.479108+0 4.999704-3 1.659587+0 4.070029-3 1.883649+0 3.270567-3 2.137962+0 2.648223-3 2.426610+0 2.159749-3 2.786121+0 1.742234-3 3.235937+0 1.391844-3 3.758374+0 1.120658-3 4.415704+0 8.945818-4 5.248075+0 7.085355-4 6.237348+0 5.655028-4 7.673615+0 4.353106-4 9.332543+0 3.426628-4 1.161449+1 2.643927-4 1.445440+1 2.054230-4 1.840772+1 1.564695-4 2.511886+1 1.112333-4 3.507519+1 7.776644-5 5.308844+1 5.029616-5 9.015711+1 2.911692-5 1.737801+2 1.492433-5 3.467369+2 7.433958-6 1.380384+3 1.857656-6 1.000000+5 2.560100-8 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 3.883900-4 6.867300-5 1.000000+5 6.867300-5 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.883900-4 1.878800-8 1.000000+5 1.878800-8 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 3.883900-4 3.196982-4 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 3.160000-4 7.908431+4 3.349654-4 7.839438+4 3.467369-4 7.786394+4 4.415704-4 7.486236+4 4.850000-4 7.302320+4 5.188000-4 7.134496+4 5.559043-4 6.923502+4 5.956621-4 6.674395+4 6.382635-4 6.385951+4 6.918310-4 6.020098+4 7.500000-4 5.637080+4 8.035261-4 5.295637+4 8.810489-4 4.831981+4 9.660509-4 4.377148+4 1.059254-3 3.932657+4 1.174898-3 3.458386+4 1.288250-3 3.063781+4 1.445440-3 2.609642+4 1.584893-3 2.280776+4 1.778279-3 1.912288+4 1.972423-3 1.620316+4 2.220000-3 1.331066+4 2.511886-3 1.074646+4 2.818383-3 8.738393+3 3.162278-3 7.057745+3 3.589219-3 5.537021+3 4.073803-3 4.309961+3 4.623810-3 3.329739+3 5.248075-3 2.553481+3 6.000000-3 1.913180+3 6.839116-3 1.431167+3 7.762471-3 1.072541+3 8.810489-3 7.979260+2 1.000000-2 5.892140+2 1.135011-2 4.319634+2 1.288250-2 3.143736+2 1.462177-2 2.272050+2 1.678804-2 1.582515+2 1.927525-2 1.093970+2 2.213095-2 7.506841+1 2.570396-2 4.952721+1 3.000000-2 3.197446+1 3.507519-2 2.037185+1 4.120975-2 1.270187+1 4.897788-2 7.599608+0 5.888437-2 4.358241+0 7.413102-2 2.156760+0 1.035142-1 7.700879-1 1.513561-1 2.379163-1 1.883649-1 1.217848-1 2.264644-1 6.977056-2 2.630268-1 4.466729-2 3.019952-1 2.979256-2 3.427678-1 2.068852-2 3.890451-1 1.447109-2 4.365158-1 1.053143-2 4.897788-1 7.720178-3 5.495409-1 5.703133-3 6.095369-1 4.372982-3 6.760830-1 3.376538-3 7.498942-1 2.626037-3 8.609938-1 1.894823-3 9.225714-1 1.619116-3 9.885531-1 1.393213-3 1.071519+0 1.179924-3 1.174898+0 9.831040-4 1.288250+0 8.252005-4 1.428894+0 6.830213-4 1.698244+0 5.026799-4 1.927525+0 4.043089-4 2.187762+0 3.277756-4 2.483133+0 2.676507-4 2.851018+0 2.161867-4 3.311311+0 1.729213-4 3.845918+0 1.393883-4 4.518559+0 1.113965-4 5.370318+0 8.832335-5 6.382635+0 7.056450-5 7.852356+0 5.436979-5 9.549926+0 4.283650-5 1.188502+1 3.307794-5 1.479108+1 2.571757-5 1.883649+1 1.960184-5 2.540973+1 1.411873-5 3.548134+1 9.873171-6 5.370318+1 6.387053-6 9.120108+1 3.698153-6 1.778279+2 1.873840-6 3.548134+2 9.335150-7 1.412538+3 2.333022-7 1.000000+5 3.290200-9 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 3.160000-4 5.283500-5 1.000000+5 5.283500-5 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.160000-4 2.186200-8 1.000000+5 2.186200-8 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.160000-4 2.631431-4 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 2.810400-4 2.984890+5 3.100000-4 2.865057+5 3.715352-4 2.630930+5 4.027170-4 2.519071+5 4.415704-4 2.378347+5 4.786301-4 2.246371+5 5.188000-4 2.107437+5 5.559043-4 1.982887+5 6.095369-4 1.813525+5 6.700000-4 1.642920+5 7.300000-4 1.491248+5 8.128305-4 1.309191+5 9.000000-4 1.148640+5 1.000000-3 9.948880+4 1.110000-3 8.570160+4 1.244515-3 7.217412+4 1.380384-3 6.136560+4 1.566751-3 4.990235+4 1.757924-3 4.102442+4 1.972423-3 3.349573+4 2.238721-3 2.658307+4 2.511886-3 2.139044+4 2.818383-3 1.710346+4 3.198895-3 1.327634+4 3.650000-3 1.011524+4 4.168694-3 7.629019+3 4.731513-3 5.787972+3 5.370318-3 4.359671+3 6.095369-3 3.260017+3 6.839116-3 2.487126+3 7.673615-3 1.886086+3 8.609938-3 1.421294+3 9.660509-3 1.064632+3 1.096478-2 7.691192+2 1.244515-2 5.516355+2 1.412538-2 3.928539+2 1.603245-2 2.778388+2 1.840772-2 1.889416+2 2.113489-2 1.274848+2 2.426610-2 8.536633+1 2.786121-2 5.674912+1 3.198895-2 3.746138+1 3.715352-2 2.370994+1 4.315191-2 1.489892+1 5.069907-2 8.967388+0 6.095369-2 4.978585+0 7.498942-2 2.546716+0 9.660509-2 1.112627+0 1.566751-1 2.272916-1 1.905461-1 1.203239-1 2.238721-1 7.174012-2 2.570396-1 4.636879-2 2.917427-1 3.129842-2 3.273407-1 2.204220-2 3.672823-1 1.563834-2 4.073803-1 1.156457-2 4.518559-1 8.616561-3 5.011872-1 6.469192-3 5.559043-1 4.896102-3 6.095369-1 3.848347-3 6.683439-1 3.044930-3 7.328245-1 2.425564-3 8.317638-1 1.791629-3 9.015711-1 1.486614-3 9.660509-1 1.275925-3 1.035142+0 1.103659-3 1.135011+0 9.169534-4 1.250000+0 7.611418-4 1.380384+0 6.336755-4 1.659587+0 4.562031-4 1.883649+0 3.664406-4 2.113489+0 3.022934-4 2.398833+0 2.463700-4 2.754229+0 1.986224-4 3.198895+0 1.585813-4 3.715352+0 1.276072-4 4.315191+0 1.034364-4 5.069907+0 8.310798-5 6.025596+0 6.622866-5 7.328245+0 5.164713-5 8.912509+0 4.058048-5 1.100000+1 3.156600-5 1.380384+1 2.425186-5 1.757924+1 1.844976-5 2.400000+1 1.309100-5 3.388442+1 9.036099-6 5.188000+1 5.770818-6 8.709636+1 3.379218-6 1.678804+2 1.731322-6 3.349654+2 8.621829-7 6.683439+2 4.305381-7 1.059254+4 2.707899-8 1.000000+5 2.867800-9 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 2.810400-4 4.747200-5 1.000000+5 4.747200-5 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.810400-4 1.125400-8 1.000000+5 1.125400-8 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.810400-4 2.335567-4 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.605900-4 3.290408+5 1.610500-4 3.370504+5 1.618000-4 3.527452+5 1.630000-4 3.823860+5 1.654000-4 4.515360+5 1.665000-4 4.840840+5 1.673000-4 5.067800+5 1.683000-4 5.330560+5 1.692000-4 5.539960+5 1.700000-4 5.699080+5 1.707000-4 5.816280+5 1.715000-4 5.922080+5 1.723000-4 5.998560+5 1.733000-4 6.054240+5 1.740000-4 6.068080+5 1.750000-4 6.055960+5 1.761000-4 6.004720+5 1.772000-4 5.920920+5 1.785000-4 5.789280+5 1.800000-4 5.606320+5 1.820000-4 5.330040+5 1.842000-4 5.006440+5 1.865000-4 4.664400+5 1.893200-4 4.256131+5 1.930000-4 3.757972+5 2.041738-4 2.563229+5 2.080000-4 2.269144+5 2.113489-4 2.056242+5 2.142000-4 1.904832+5 2.170000-4 1.780396+5 2.198000-4 1.677456+5 2.220000-4 1.610272+5 2.240000-4 1.558640+5 2.264644-4 1.506306+5 2.290868-4 1.462959+5 2.317395-4 1.430650+5 2.344229-4 1.408348+5 2.371374-4 1.395297+5 2.400000-4 1.390644+5 2.430000-4 1.394512+5 2.465000-4 1.408684+5 2.500000-4 1.431588+5 2.540973-4 1.467446+5 2.600160-4 1.532268+5 2.660725-4 1.609978+5 2.900000-4 1.962568+5 3.000000-4 2.110828+5 3.100000-4 2.251188+5 3.200000-4 2.379812+5 3.311311-4 2.507313+5 3.430000-4 2.624448+5 3.550000-4 2.724264+5 3.672823-4 2.808606+5 3.801894-4 2.879123+5 3.935501-4 2.933684+5 4.100000-4 2.977248+5 4.280000-4 2.999456+5 4.472100-4 3.000106+5 4.700000-4 2.977192+5 4.930000-4 2.933084+5 5.188000-4 2.864355+5 5.432503-4 2.786025+5 5.754399-4 2.671580+5 6.100000-4 2.541584+5 6.456542-4 2.403982+5 6.850000-4 2.252956+5 7.328245-4 2.076910+5 7.852356-4 1.896199+5 8.413951-4 1.718158+5 9.015711-4 1.546576+5 9.700000-4 1.373824+5 1.047129-3 1.204864+5 1.135011-3 1.041612+5 1.230269-3 8.937924+4 1.333521-3 7.617219+4 1.450000-3 6.405480+4 1.584893-3 5.290196+4 1.737801-3 4.305447+4 1.900000-3 3.502664+4 2.113489-3 2.714392+4 2.344229-3 2.099660+4 2.570396-3 1.659784+4 2.818383-3 1.304400+4 3.126079-3 9.876467+3 3.467369-3 7.424684+3 3.890451-3 5.362777+3 4.315191-3 3.972954+3 4.786301-3 2.923884+3 5.308844-3 2.138064+3 5.956621-3 1.498458+3 6.683439-3 1.041975+3 7.498942-3 7.191449+2 8.413951-3 4.926004+2 9.440609-3 3.349696+2 1.059254-2 2.262312+2 1.202264-2 1.457638+2 1.364583-2 9.319475+1 1.548817-2 5.915454+1 1.778279-2 3.575097+1 2.041738-2 2.144224+1 2.371374-2 1.222483+1 2.754229-2 6.916860+0 3.235937-2 3.716941+0 3.890451-2 1.812493+0 4.786301-2 8.011829-1 9.772372-2 4.693658-2 1.202264-1 2.071028-2 1.428894-1 1.054423-2 1.659587-1 5.913720-3 1.905461-1 3.491048-3 2.187762-1 2.076377-3 2.483133-1 1.299308-3 2.786121-1 8.543567-4 3.126079-1 5.657686-4 3.467369-1 3.930115-4 3.845918-1 2.749959-4 4.216965-1 2.016143-4 4.677351-1 1.433203-4 5.188000-1 1.026902-4 5.688529-1 7.686814-5 6.309573-1 5.593287-5 6.918310-1 4.247691-5 7.498942-1 3.360151-5 8.609938-1 2.269178-5 9.120108-1 1.940289-5 9.549926-1 1.722102-5 1.000000+0 1.538200-5 1.047129+0 1.383868-5 1.096478+0 1.253535-5 1.161449+0 1.116694-5 1.230269+0 1.001885-5 1.333521+0 8.666296-6 1.479108+0 7.253834-6 1.840772+0 4.948123-6 2.044000+0 4.145000-6 2.317395+0 3.377908-6 2.660725+0 2.717863-6 3.054921+0 2.203320-6 3.548134+0 1.768778-6 4.120975+0 1.430637-6 4.841724+0 1.147123-6 5.754399+0 9.122833-7 6.918310+0 7.204210-7 8.413951+0 5.647800-7 1.035142+1 4.400603-7 1.318257+1 3.317308-7 1.737801+1 2.424837-7 2.371374+1 1.720870-7 3.349654+1 1.186959-7 5.128614+1 7.578123-8 8.709636+1 4.384604-8 1.678804+2 2.246377-8 3.349654+2 1.118722-8 6.683439+2 5.586285-9 1.059254+4 3.51344-10 1.000000+5 3.72100-11 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.605900-4 3.062400-5 1.000000+5 3.062400-5 1 65000 7 7 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.605900-4 1.624400-8 1.000000+5 1.624400-8 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.605900-4 1.299498-4 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.542900-4 4.757880+5 1.551000-4 5.063994+5 1.575000-4 6.148020+5 1.588000-4 6.781980+5 1.599000-4 7.309020+5 1.607000-4 7.672200+5 1.614000-4 7.968600+5 1.621810-4 8.269291+5 1.628000-4 8.481180+5 1.636000-4 8.717040+5 1.644000-4 8.906520+5 1.652000-4 9.048660+5 1.659587-4 9.139852+5 1.670000-4 9.199320+5 1.680000-4 9.190920+5 1.690000-4 9.126660+5 1.700000-4 9.015360+5 1.714000-4 8.797380+5 1.725000-4 8.588040+5 1.740000-4 8.266380+5 1.757924-4 7.850112+5 1.778279-4 7.361180+5 1.800000-4 6.842460+5 1.835000-4 6.045900+5 1.880000-4 5.127858+5 1.965000-4 3.767844+5 2.000000-4 3.348318+5 2.030000-4 3.048516+5 2.060000-4 2.799156+5 2.089296-4 2.599640+5 2.113489-4 2.464357+5 2.137962-4 2.351854+5 2.162719-4 2.260461+5 2.187762-4 2.188552+5 2.213095-4 2.134631+5 2.240000-4 2.095806+5 2.264644-4 2.074966+5 2.290868-4 2.066433+5 2.317395-4 2.070410+5 2.350000-4 2.090316+5 2.380000-4 2.121114+5 2.415000-4 2.169624+5 2.454709-4 2.237920+5 2.511886-4 2.354787+5 2.770000-4 2.995584+5 2.851018-4 3.200291+5 2.951209-4 3.441864+5 3.050000-4 3.661716+5 3.150000-4 3.861498+5 3.240000-4 4.020372+5 3.350000-4 4.188024+5 3.470000-4 4.339914+5 3.600000-4 4.471500+5 3.715352-4 4.562212+5 3.850000-4 4.639626+5 4.000000-4 4.693008+5 4.168694-4 4.717218+5 4.365158-4 4.707187+5 4.570882-4 4.663500+5 4.786301-4 4.590139+5 5.011872-4 4.488721+5 5.248075-4 4.364119+5 5.559043-4 4.182033+5 5.900000-4 3.970368+5 6.237348-4 3.757078+5 6.606934-4 3.525959+5 7.000000-4 3.288456+5 7.500000-4 3.003870+5 8.035261-4 2.724213+5 8.609938-4 2.452982+5 9.225714-4 2.194562+5 9.885531-4 1.951643+5 1.071519-3 1.689315+5 1.161449-3 1.451745+5 1.258925-3 1.238532+5 1.364583-3 1.049796+5 1.479108-3 8.839060+4 1.621810-3 7.209885+4 1.800000-3 5.671740+4 1.972423-3 4.559164+4 2.162719-3 3.635650+4 2.400000-3 2.792622+4 2.691535-3 2.069054+4 3.019952-3 1.516725+4 3.388442-3 1.101873+4 3.801894-3 7.934879+3 4.216965-3 5.862309+3 4.677351-3 4.302181+3 5.188000-3 3.136777+3 5.754399-3 2.271794+3 6.456542-3 1.575464+3 7.161434-3 1.125642+3 8.035261-3 7.690095+2 9.015711-3 5.215955+2 1.011579-2 3.510851+2 1.135011-2 2.346882+2 1.288250-2 1.495392+2 1.462177-2 9.455668+1 1.659587-2 5.935727+1 1.883649-2 3.700291+1 2.162719-2 2.192887+1 2.483133-2 1.289883+1 2.884032-2 7.203740+0 3.388442-2 3.815748+0 4.027170-2 1.916158+0 4.897788-2 8.707157-1 6.095369-2 3.579704-1 9.332543-2 6.290728-2 1.135011-1 2.847397-2 1.333521-1 1.492218-2 1.548817-1 8.249616-3 1.757924-1 5.029925-3 1.972423-1 3.228737-3 2.213095-1 2.087311-3 2.454709-1 1.419026-3 2.722701-1 9.713963-4 3.019952-1 6.699821-4 3.311311-1 4.849523-4 3.630781-1 3.536183-4 3.935501-1 2.700180-4 4.265795-1 2.077273-4 4.623810-1 1.608820-4 5.069907-1 1.210596-4 5.495409-1 9.500101-5 6.000000-1 7.346040-5 6.531306-1 5.767358-5 7.079458-1 4.614138-5 7.673615-1 3.717530-5 8.511380-1 2.838761-5 9.015711-1 2.458589-5 9.549926-1 2.143614-5 1.000000+0 1.931700-5 1.059254+0 1.707874-5 1.135011+0 1.484259-5 1.216186+0 1.298719-5 1.333521+0 1.095533-5 1.678804+0 7.288336-6 1.905461+0 5.855881-6 2.137962+0 4.833625-6 2.426610+0 3.941970-6 2.786121+0 3.179974-6 3.235937+0 2.540477-6 3.758374+0 2.045505-6 4.415704+0 1.632872-6 5.248075+0 1.293291-6 6.237348+0 1.032205-6 7.585776+0 8.060355-7 9.225714+0 6.341882-7 1.148154+1 4.891275-7 1.428894+1 3.798981-7 1.819701+1 2.892826-7 2.483133+1 2.055822-7 3.467369+1 1.436851-7 5.248075+1 9.291182-8 8.912509+1 5.377775-8 1.717908+2 2.756020-8 3.427678+2 1.372702-8 1.364583+3 3.430112-9 1.000000+5 4.67290-11 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.542900-4 2.885800-5 1.000000+5 2.885800-5 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.542900-4 1.254320-4 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 1.039000-5 4.332880+5 1.083927-5 4.088196+5 1.130000-5 3.889579+5 1.170000-5 3.751532+5 1.216186-5 3.628456+5 1.260000-5 3.542868+5 1.310000-5 3.478824+5 1.350000-5 3.448958+5 1.400000-5 3.435879+5 1.450000-5 3.447793+5 1.500000-5 3.482041+5 1.550000-5 3.536099+5 1.611900-5 3.628089+5 1.678804-5 3.755385+5 1.750000-5 3.920243+5 1.830000-5 4.138480+5 1.920000-5 4.422867+5 2.018366-5 4.776777+5 2.137962-5 5.260797+5 2.264644-5 5.832419+5 2.483133-5 6.940175+5 2.951209-5 9.671191+5 3.162278-5 1.097665+6 3.388442-5 1.237080+6 3.589219-5 1.358315+6 3.801894-5 1.481828+6 4.027170-5 1.605604+6 4.300000-5 1.746174+6 4.570882-5 1.875753+6 4.900000-5 2.019996+6 5.300000-5 2.179172+6 5.688529-5 2.316489+6 6.095369-5 2.441785+6 6.500000-5 2.546792+6 6.918310-5 2.632691+6 7.328245-5 2.696310+6 7.762471-5 2.742472+6 8.300000-5 2.774433+6 8.810489-5 2.785890+6 9.500000-5 2.779378+6 1.023293-4 2.755583+6 1.109175-4 2.709003+6 1.174898-4 2.662366+6 1.260000-4 2.588885+6 1.333521-4 2.516627+6 1.445440-4 2.397161+6 1.548817-4 2.282151+6 1.659587-4 2.159992+6 1.798871-4 2.007423+6 1.905461-4 1.892378+6 2.040000-4 1.752634+6 2.213095-4 1.582991+6 2.371374-4 1.440318+6 2.511886-4 1.324350+6 2.691535-4 1.188528+6 2.884032-4 1.057687+6 3.060000-4 9.512286+5 3.273407-4 8.375566+5 3.507519-4 7.298989+5 3.758374-4 6.316086+5 4.027170-4 5.428221+5 4.315191-4 4.633819+5 4.623810-4 3.930842+5 5.011872-4 3.219904+5 5.432503-4 2.617600+5 5.888437-4 2.112384+5 6.382635-4 1.692757+5 6.918310-4 1.347585+5 7.585776-4 1.030680+5 8.317638-4 7.823967+4 9.120108-4 5.896251+4 1.000000-3 4.411488+4 1.109175-3 3.159228+4 1.230269-3 2.245007+4 1.364583-3 1.583499+4 1.513561-3 1.108947+4 1.678804-3 7.713779+3 1.862087-3 5.329525+3 2.089296-3 3.506922+3 2.344229-3 2.289555+3 2.630268-3 1.483370+3 2.951209-3 9.539303+2 3.311311-3 6.090856+2 3.715352-3 3.861626+2 4.216965-3 2.320778+2 4.731513-3 1.450086+2 5.308844-3 8.978218+1 6.000000-3 5.352946+1 6.760830-3 3.209866+1 7.673615-3 1.852181+1 8.735000-3 1.047453+1 1.000000-2 5.729002+0 1.148154-2 3.069817+0 1.333521-2 1.549575+0 1.603245-2 6.619759-1 1.862087-2 3.294085-1 2.113489-2 1.813925-1 2.483133-2 8.421021-2 3.000000-2 3.394123-2 3.801894-2 1.077146-2 6.683439-2 6.919301-4 8.222426-2 2.540365-4 9.772372-2 1.109996-4 1.135011-1 5.451288-5 1.303167-1 2.848612-5 1.479108-1 1.583271-5 1.659587-1 9.354073-6 1.862087-1 5.567704-6 2.065380-1 3.513947-6 2.290868-1 2.232705-6 2.540973-1 1.428651-6 2.851018-1 8.768503-7 3.126079-1 5.972297-7 3.427678-1 4.098132-7 3.722400-1 2.945700-7 4.027170-1 2.170463-7 4.415705-1 1.529806-7 4.841724-1 1.086208-7 5.370318-1 7.440096-8 5.888437-1 5.351336-8 6.456542-1 3.870642-8 6.998420-1 2.936102-8 7.498942-1 2.333568-8 8.609938-1 1.496706-8 9.015711-1 1.297271-8 9.332543-1 1.170440-8 9.660509-1 1.061242-8 1.000000+0 9.680400-9 1.035142+0 8.889871-9 1.071519+0 8.208464-9 1.122018+0 7.435793-9 1.174898+0 6.785059-9 1.244515+0 6.100624-9 1.333521+0 5.407978-9 1.513561+0 4.389054-9 1.883649+0 2.994137-9 2.089296+0 2.515803-9 2.371374+0 2.049193-9 2.722701+0 1.650873-9 3.126079+0 1.339847-9 3.630781+0 1.076894-9 4.216965+0 8.71973-10 4.954502+0 6.99885-10 5.888437+0 5.57173-10 7.079458+0 4.40414-10 8.609938+0 3.45581-10 1.059254+1 2.69487-10 1.348963+1 2.03325-10 1.737801+1 1.52606-10 2.371374+1 1.08298-10 3.349654+1 7.46981-11 5.128614+1 4.76911-11 8.709636+1 2.75940-11 1.678804+2 1.41375-11 3.349654+2 7.04029-12 1.333521+3 1.75903-12 1.000000+5 2.34180-14 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 1.039000-5 1.039000-5 1.000000+5 1.039000-5 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.039000-5 0.0 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 9.530000-6 6.273412+5 9.772372-6 6.031844+5 1.020000-5 5.690986+5 1.050000-5 5.496534+5 1.085000-5 5.309026+5 1.122018-5 5.154918+5 1.165000-5 5.021041+5 1.205000-5 4.936088+5 1.250000-5 4.880518+5 1.290000-5 4.861664+5 1.333900-5 4.870167+5 1.380384-5 4.909180+5 1.428894-5 4.979283+5 1.480000-5 5.082653+5 1.531087-5 5.213012+5 1.590000-5 5.394037+5 1.659587-5 5.646021+5 1.737801-5 5.973684+5 1.830000-5 6.414432+5 1.927525-5 6.938932+5 2.041738-5 7.622065+5 2.187762-5 8.590288+5 2.818383-5 1.361881+6 3.054921-5 1.566747+6 3.273407-5 1.754906+6 3.467369-5 1.916693+6 3.672823-5 2.080894+6 3.900000-5 2.252933+6 4.150000-5 2.428818+6 4.415704-5 2.601089+6 4.731513-5 2.789413+6 5.069907-5 2.971500+6 5.500000-5 3.177393+6 5.900000-5 3.343024+6 6.309573-5 3.484257+6 6.683439-5 3.589289+6 7.079458-5 3.672738+6 7.500000-5 3.734318+6 7.943282-5 3.773327+6 8.511380-5 3.789776+6 9.120108-5 3.781925+6 1.000000-4 3.735727+6 1.075600-4 3.674575+6 1.161449-4 3.586536+6 1.244515-4 3.481565+6 1.333521-4 3.357198+6 1.450000-4 3.180375+6 1.548817-4 3.027279+6 1.659587-4 2.858899+6 1.798871-4 2.649674+6 1.905461-4 2.493669+6 2.050000-4 2.291206+6 2.213095-4 2.077049+6 2.366500-4 1.892206+6 2.511886-4 1.732473+6 2.691535-4 1.552200+6 2.884032-4 1.379078+6 3.090295-4 1.216797+6 3.311311-4 1.065433+6 3.548134-4 9.261043+5 3.801894-4 7.993561+5 4.073803-4 6.853063+5 4.365158-4 5.837285+5 4.677351-4 4.941438+5 5.069907-4 4.038527+5 5.495409-4 3.275973+5 5.956621-4 2.638112+5 6.480700-4 2.087477+5 7.079458-4 1.620946+5 7.762471-4 1.235818+5 8.511380-4 9.353179+4 9.332543-4 7.027724+4 1.023293-3 5.243399+4 1.135011-3 3.743249+4 1.258925-3 2.651700+4 1.396368-3 1.864837+4 1.566751-3 1.251213+4 1.737801-3 8.676899+3 1.927525-3 5.976720+3 2.137962-3 4.088840+3 2.371374-3 2.777490+3 2.660725-3 1.793922+3 3.000000-3 1.128399+3 3.349654-3 7.326688+2 3.758374-3 4.633248+2 4.120975-3 3.192102+2 4.623810-3 1.986970+2 5.188000-3 1.227316+2 5.821032-3 7.526891+1 6.614500-3 4.340996+1 7.498942-3 2.511558+1 8.511380-3 1.435483+1 9.660509-3 8.145710+0 1.109175-2 4.357272+0 1.288250-2 2.194914+0 1.496236-2 1.098244+0 1.737801-2 5.454334-1 2.018366-2 2.688568-1 2.371374-2 1.243362-1 2.818383-2 5.399572-2 3.388442-2 2.200996-2 4.466836-2 5.672906-3 7.161434-2 5.570522-4 8.609938-2 2.266218-4 1.011580-1 1.038921-4 1.174898-1 5.074392-5 1.333521-1 2.786028-5 1.496236-1 1.627014-5 1.659587-1 1.009578-5 1.840772-1 6.310917-6 2.041738-1 3.975180-6 2.238721-1 2.653816-6 2.454709-1 1.783458-6 2.691535-1 1.207586-6 2.917427-1 8.641147-7 3.162278-1 6.224632-7 3.427678-1 4.516457-7 3.672823-1 3.452883-7 3.981072-1 2.543226-7 4.265795-1 1.969620-7 4.570882-1 1.535440-7 4.954502-1 1.157178-7 5.370318-1 8.789871-8 5.821032-1 6.722518-8 6.309573-1 5.180734-8 6.839117-1 4.024561-8 7.328245-1 3.261730-8 7.852356-1 2.660435-8 8.413951-1 2.184962-8 8.912509-1 1.859240-8 9.332543-1 1.642398-8 9.772372-1 1.459812-8 1.022000+0 1.311000-8 1.071519+0 1.179435-8 1.122018+0 1.071231-8 1.188502+0 9.571426-9 1.288250+0 8.256831-9 1.396368+0 7.173077-9 1.513561+0 6.255675-9 1.819701+0 4.528281-9 2.018366+0 3.797446-9 2.290868+0 3.087225-9 2.630268+0 2.482341-9 3.019952+0 2.011108-9 3.507519+0 1.613484-9 4.073803+0 1.304280-9 4.786301+0 1.045226-9 5.688529+0 8.30847-10 6.760830+0 6.65408-10 8.222427+0 5.21202-10 1.000000+1 4.11350-10 1.258925+1 3.13875-10 1.640590+1 2.32046-10 2.162719+1 1.70780-10 2.884032+1 1.24966-10 4.027170+1 8.76313-11 5.821032+1 5.96046-11 9.885531+1 3.45523-11 1.949845+2 1.73201-11 3.890451+2 8.63399-12 1.548817+3 2.15855-12 1.000000+5 3.33830-14 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 9.530000-6 9.530000-6 1.000000+5 9.530000-6 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 9.530000-6 0.0 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 5.217000-5 5.107540+4 5.280000-5 5.102280+4 5.400000-5 5.136740+4 5.500000-5 5.201500+4 5.623413-5 5.313771+4 5.800000-5 5.526420+4 6.025596-5 5.852894+4 6.683439-5 6.936957+4 7.000000-5 7.440740+4 7.300000-5 7.879660+4 7.585776-5 8.253849+4 7.900000-5 8.609640+4 8.222426-5 8.912203+4 8.511380-5 9.130175+4 8.810489-5 9.305206+4 9.150000-5 9.446760+4 9.549926-5 9.545927+4 1.000000-4 9.586440+4 1.047129-4 9.566988+4 1.109175-4 9.472483+4 1.174898-4 9.315502+4 1.260000-4 9.060020+4 1.350000-4 8.751900+4 1.450000-4 8.381200+4 1.548817-4 7.999026+4 1.659587-4 7.568666+4 1.800000-4 7.043160+4 1.995262-4 6.377271+4 2.220000-4 5.709460+4 2.454709-4 5.106196+4 2.786121-4 4.397119+4 3.200000-4 3.705780+4 3.630781-4 3.148323+4 4.315191-4 2.498014+4 5.011872-4 2.029346+4 5.956621-4 1.585796+4 7.244360-4 1.188501+4 8.709636-4 8.987304+3 1.035142-3 6.867915+3 1.230269-3 5.212359+3 1.462177-3 3.928457+3 1.757924-3 2.883462+3 2.113489-3 2.099782+3 2.570396-3 1.487386+3 3.054921-3 1.089754+3 3.715352-3 7.605946+2 4.570882-3 5.157386+2 5.688529-3 3.395096+2 6.918310-3 2.318828+2 8.413951-3 1.572101+2 1.023293-2 1.057667+2 1.230269-2 7.230006+1 1.479108-2 4.905472+1 1.778279-2 3.301545+1 2.213095-2 2.045429+1 2.660725-2 1.356787+1 3.090295-2 9.655616+0 3.630781-2 6.636047+0 4.265795-2 4.527504+0 5.069907-2 2.982567+0 6.025596-2 1.949800+0 7.244360-2 1.229439+0 8.511380-2 8.158983-1 1.047129-1 4.776169-1 1.348963-1 2.461173-1 2.398833-1 5.359787-2 2.951209-1 3.114894-2 3.507519-1 1.994916-2 4.027170-1 1.405937-2 4.623810-1 9.984095-3 5.248075-1 7.348915-3 5.888437-1 5.599748-3 6.606935-1 4.298314-3 7.413102-1 3.323586-3 8.413951-1 2.525286-3 9.332543-1 2.031433-3 1.023293+0 1.685949-3 1.174898+0 1.284880-3 1.318257+0 1.031503-3 1.479108+0 8.339307-4 1.659587+0 6.788862-4 1.883649+0 5.455369-4 2.137962+0 4.416905-4 2.426610+0 3.602076-4 2.786121+0 2.905815-4 3.235937+0 2.321456-4 3.758374+0 1.869139-4 4.365158+0 1.515923-4 5.188000+0 1.200055-4 6.165950+0 9.572902-5 7.498942+0 7.472046-5 9.120108+0 5.876352-5 1.135011+1 4.530363-5 1.412538+1 3.517342-5 1.800000+1 2.675700-5 2.454709+1 1.902148-5 3.467369+1 1.312993-5 5.248075+1 8.490350-6 8.912509+1 4.914228-6 1.717908+2 2.518493-6 3.427678+2 1.254385-6 1.364583+3 3.134480-7 1.000000+5 4.270200-9 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 5.217000-5 5.217000-5 1.000000+5 5.217000-5 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 5.217000-5 0.0 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 3.224000-5 8.092600+6 3.311311-5 7.142033+6 3.400000-5 6.349760+6 3.507519-5 5.569678+6 3.650000-5 4.746320+6 3.845918-5 3.883053+6 4.731513-5 1.785708+6 5.888437-5 7.791151+5 6.500000-5 5.392700+5 7.000000-5 4.117800+5 7.500000-5 3.222220+5 8.035261-5 2.538374+5 8.511380-5 2.093056+5 9.015711-5 1.738327+5 9.500000-5 1.479042+5 1.000000-4 1.271994+5 1.047129-4 1.118754+5 1.096478-4 9.908102+4 1.150000-4 8.803160+4 1.205000-4 7.897680+4 1.260000-4 7.167720+4 1.318257-4 6.539753+4 1.380384-4 5.995688+4 1.450000-4 5.503320+4 1.513561-4 5.136581+4 1.584893-4 4.796699+4 1.678804-4 4.435162+4 1.778279-4 4.128699+4 1.905461-4 3.815841+4 2.080000-4 3.480780+4 2.317395-4 3.134004+4 3.467369-4 2.171214+4 4.027170-4 1.881870+4 4.623810-4 1.638084+4 5.248075-4 1.432373+4 5.956621-4 1.244413+4 6.760830-4 1.073180+4 7.673615-4 9.189687+3 8.709636-4 7.811402+3 9.885531-4 6.590139+3 1.122018-3 5.516328+3 1.273503-3 4.583538+3 1.445440-3 3.779756+3 1.621810-3 3.150240+3 1.840772-3 2.557601+3 2.089296-3 2.060577+3 2.371374-3 1.647690+3 2.691535-3 1.307943+3 3.054921-3 1.030873+3 3.467369-3 8.068875+2 3.935501-3 6.271539+2 4.466836-3 4.841040+2 5.069907-3 3.710913+2 5.754399-3 2.824780+2 6.531306-3 2.135175+2 7.413102-3 1.602589+2 8.413951-3 1.194391+2 9.549926-3 8.838881+1 1.071519-2 6.678691+1 1.230269-2 4.733426+1 1.428894-2 3.233977+1 1.717908-2 2.010272+1 1.949845-2 1.440248+1 2.162719-2 1.088755+1 2.454709-2 7.676639+0 2.818383-2 5.203249+0 3.349654-2 3.172090+0 3.935501-2 1.983121+0 4.677351-2 1.189558+0 5.559043-2 7.081894-1 6.918310-2 3.640088-1 9.225714-2 1.502242-1 1.513561-1 3.251744-2 1.883649-1 1.664549-2 2.264644-1 9.537198-3 2.630268-1 6.106333-3 3.019952-1 4.073154-3 3.427678-1 2.828560-3 3.890451-1 1.978588-3 4.365158-1 1.440086-3 4.897788-1 1.055761-3 5.495409-1 7.798769-4 6.095369-1 5.979142-4 6.760830-1 4.616139-4 7.498942-1 3.589728-4 8.609938-1 2.590276-4 9.225714-1 2.213474-4 9.885531-1 1.904579-4 1.071519+0 1.612824-4 1.174898+0 1.343778-4 1.288250+0 1.127954-4 1.428894+0 9.335567-5 1.698244+0 6.870449-5 1.927525+0 5.525968-5 2.187762+0 4.479742-5 2.483133+0 3.657989-5 2.851018+0 2.954700-5 3.311311+0 2.363423-5 3.845918+0 1.905120-5 4.518559+0 1.522520-5 5.370318+0 1.207150-5 6.382635+0 9.644286-6 7.852356+0 7.430970-6 9.549926+0 5.854585-6 1.188502+1 4.520834-6 1.479108+1 3.514957-6 1.883649+1 2.678962-6 2.540973+1 1.929732-6 3.507519+1 1.365924-6 5.308844+1 8.834516-7 9.015711+1 5.114435-7 1.757924+2 2.591016-7 3.507519+2 1.290745-7 1.396368+3 3.225568-8 1.000000+5 4.49680-10 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 3.224000-5 3.224000-5 1.000000+5 3.224000-5 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.224000-5 0.0 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.759000-5 1.792660+7 2.820000-5 1.602896+7 2.884032-5 1.436563+7 2.970000-5 1.254044+7 3.054921-5 1.107430+7 3.162278-5 9.566474+6 3.311311-5 7.927678+6 3.548134-5 6.034667+6 4.168694-5 3.236355+6 4.731513-5 1.994013+6 5.128614-5 1.474637+6 5.495409-5 1.146843+6 5.821032-5 9.363464+5 6.165950-5 7.700084+5 6.500000-5 6.482920+5 6.839116-5 5.532629+5 7.161434-5 4.825986+5 7.500000-5 4.238040+5 7.852356-5 3.752886+5 8.150000-5 3.420440+5 8.511380-5 3.090556+5 8.900000-5 2.805312+5 9.300000-5 2.568768+5 9.660509-5 2.393485+5 1.011579-4 2.211109+5 1.060000-4 2.053088+5 1.122018-4 1.889881+5 1.194100-4 1.739380+5 1.273503-4 1.607460+5 1.380384-4 1.467676+5 1.513561-4 1.333035+5 2.264644-4 9.004521+4 2.660725-4 7.650255+4 3.090295-4 6.531050+4 3.507519-4 5.677811+4 4.027170-4 4.839445+4 4.623810-4 4.095921+4 5.308844-4 3.440444+4 6.095369-4 2.869240+4 7.000000-4 2.373324+4 7.943282-4 1.982466+4 9.015711-4 1.645143+4 1.023293-3 1.355843+4 1.161449-3 1.109833+4 1.318257-3 9.022030+3 1.500000-3 7.251520+3 1.698244-3 5.836725+3 1.927525-3 4.644821+3 2.187762-3 3.670372+3 2.483133-3 2.880116+3 2.818383-3 2.244344+3 3.198895-3 1.736874+3 3.630781-3 1.334941+3 4.120975-3 1.019026+3 4.677351-3 7.725942+2 5.370318-3 5.667986+2 6.095369-3 4.236131+2 6.918310-3 3.143267+2 7.852356-3 2.315604+2 8.912509-3 1.693616+2 1.011579-2 1.229758+2 1.148154-2 8.864086+1 1.303167-2 6.342622+1 1.479108-2 4.506579+1 1.698244-2 3.080673+1 1.949845-2 2.089458+1 2.238721-2 1.406197+1 2.570396-2 9.393478+0 2.951209-2 6.230430+0 3.427678-2 3.961509+0 3.981072-2 2.500143+0 4.677351-2 1.511558+0 5.432503-2 9.408742-1 6.606934-2 5.019337-1 8.317638-2 2.376400-1 1.071519-1 1.036640-1 1.513561-1 3.334238-2 1.840772-1 1.764215-2 2.213095-1 9.763532-3 2.540973-1 6.307980-3 2.884032-1 4.255652-3 3.235937-1 2.995577-3 3.630781-1 2.124014-3 4.027170-1 1.569646-3 4.466836-1 1.168642-3 4.954502-1 8.766826-4 5.495409-1 6.629067-4 6.025596-1 5.206447-4 6.606935-1 4.117151-4 7.244360-1 3.277953-4 8.035261-1 2.556893-4 8.709636-1 2.114992-4 9.332543-1 1.809005-4 1.000000+0 1.558600-4 1.083927+0 1.321289-4 1.188502+0 1.101948-4 1.303167+0 9.258160-5 1.462177+0 7.511724-5 1.717908+0 5.646034-5 1.949845+0 4.544264-5 2.213095+0 3.686340-5 2.511886+0 3.011954-5 2.884032+0 2.434399-5 3.349654+0 1.948458-5 3.890451+0 1.571547-5 4.570882+0 1.256622-5 5.432503+0 9.968578-6 6.456542+0 7.968299-6 7.852356+0 6.230537-6 9.549926+0 4.908834-6 1.188502+1 3.790585-6 1.479108+1 2.947159-6 1.883649+1 2.246191-6 2.540973+1 1.618001-6 3.507519+1 1.145286-6 5.308844+1 7.407366-7 9.015711+1 4.288182-7 1.737801+2 2.197930-7 3.467369+2 1.094814-7 1.380384+3 2.735888-8 1.000000+5 3.77040-10 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.759000-5 2.759000-5 1.000000+5 2.759000-5 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.759000-5 0.0 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.290000-6 3.878440+6 5.688529-6 2.825191+6 6.237348-6 1.876550+6 6.760830-6 1.302121+6 7.328245-6 8.967814+5 7.943282-6 6.130313+5 8.609938-6 4.156559+5 9.332543-6 2.797029+5 1.148154-5 9.918339+4 1.202264-5 7.914506+4 1.250000-5 6.573900+4 1.290000-5 5.686900+4 1.333521-5 4.914492+4 1.375300-5 4.323998+4 1.412538-5 3.898016+4 1.450000-5 3.547400+4 1.480000-5 3.313700+4 1.515000-5 3.085320+4 1.550000-5 2.897860+4 1.584893-5 2.744929+4 1.621810-5 2.614106+4 1.659587-5 2.507788+4 1.698244-5 2.422979+4 1.737801-5 2.357024+4 1.778279-5 2.307542+4 1.819701-5 2.272386+4 1.870000-5 2.246720+4 1.927525-5 2.235283+4 2.000000-5 2.241080+4 2.070000-5 2.261740+4 2.166500-5 2.305577+4 2.344229-5 2.407798+4 2.630268-5 2.571767+4 2.818383-5 2.659739+4 3.019952-5 2.733095+4 3.235937-5 2.788404+4 3.450000-5 2.820420+4 3.672823-5 2.832051+4 3.900000-5 2.824180+4 4.168694-5 2.795081+4 4.466836-5 2.744446+4 4.786301-5 2.673559+4 5.128614-5 2.584389+4 5.500000-5 2.478780+4 5.956621-5 2.345885+4 6.456542-5 2.201756+4 7.079458-5 2.030829+4 7.852356-5 1.840607+4 8.810489-5 1.637037+4 1.011579-4 1.412199+4 1.273503-4 1.091785+4 1.603245-4 8.391874+3 1.819701-4 7.210766+3 2.018366-4 6.329868+3 2.264644-4 5.421395+3 2.630268-4 4.394472+3 3.935501-4 2.474164+3 4.786301-4 1.858262+3 6.683439-4 1.124861+3 7.852356-4 8.780504+2 1.035142-3 5.672120+2 1.258925-3 4.129534+2 1.513561-3 3.040866+2 2.065380-3 1.766243+2 2.600160-3 1.182395+2 3.054921-3 8.876614+1 3.672823-3 6.333747+1 4.466836-3 4.389833+1 5.688529-3 2.765964+1 6.918310-3 1.889653+1 8.413951-3 1.281516+1 1.023293-2 8.624296+0 1.230269-2 5.896831+0 1.479108-2 4.001588+0 1.778279-2 2.693985+0 2.113489-2 1.845478+0 2.511886-2 1.255035+0 3.000000-2 8.376800-1 3.548134-2 5.672588-1 4.216965-2 3.769228-1 5.011872-2 2.485397-1 5.956621-2 1.625753-1 7.161434-2 1.025606-1 8.413951-2 6.809505-2 1.035142-1 3.987925-2 1.333521-1 2.055795-2 2.371374-1 4.478492-3 2.917427-1 2.602370-3 3.467369-1 1.666404-3 4.027170-1 1.140795-3 4.570882-1 8.336256-4 5.188000-1 6.135176-4 5.821032-1 4.674963-4 6.531306-1 3.589021-4 7.328245-1 2.776486-4 8.222427-1 2.164760-4 9.120108-1 1.742418-4 1.011579+0 1.412751-4 1.174898+0 1.052894-4 1.318257+0 8.451363-5 1.496236+0 6.687837-5 1.678804+0 5.447741-5 1.905461+0 4.380989-5 2.162719+0 3.549605-5 2.454709+0 2.896647-5 2.818383+0 2.338197-5 3.273407+0 1.869095-5 3.801894+0 1.505768-5 4.415704+0 1.221886-5 5.248075+0 9.678067-6 6.237348+0 7.724062-6 7.585776+0 6.031552-6 9.225714+0 4.745685-6 1.148154+1 3.660174-6 1.428894+1 2.842812-6 1.819701+1 2.164710-6 2.483133+1 1.538356-6 3.467369+1 1.075234-6 5.248075+1 6.952621-7 8.912509+1 4.024180-7 1.737801+2 2.038433-7 3.467369+2 1.015373-7 1.380384+3 2.537332-8 1.000000+5 3.49680-10 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.290000-6 5.290000-6 1.000000+5 5.290000-6 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.290000-6 0.0 1.000000+5 1.000000+5 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.211330-7 1.026600+0 1.023650-6 1.027100+0 1.392690-6 1.027500+0 1.744330-6 1.028100+0 2.374880-6 1.028750+0 3.211330-6 1.029500+0 4.394790-6 1.030100+0 5.526980-6 1.031000+0 7.562790-6 1.032000+0 1.034780-5 1.033200+0 1.449550-5 1.034000+0 1.779460-5 1.035300+0 2.415360-5 1.036640+0 3.211330-5 1.038200+0 4.333790-5 1.039700+0 5.630460-5 1.041500+0 7.491260-5 1.043800+0 1.039810-4 1.046400+0 1.446700-4 1.048300+0 1.801180-4 1.051200+0 2.443270-4 1.054080+0 3.211330-4 1.057700+0 4.377260-4 1.061100+0 5.693740-4 1.065100+0 7.537920-4 1.070400+0 1.051620-3 1.076200+0 1.453350-3 1.080600+0 1.814990-3 1.087100+0 2.445380-3 1.093710+0 3.211330-3 1.102600+0 4.452260-3 1.110700+0 5.806290-3 1.120600+0 7.766470-3 1.133300+0 1.079780-2 1.147500+0 1.490750-2 1.158200+0 1.852610-2 1.174100+0 2.476300-2 1.190110+0 3.211330-2 1.205100+0 3.998760-2 1.227500+0 5.353480-2 1.250000+0 6.914000-2 1.265600+0 8.099060-2 1.294900+0 1.052530-1 1.320600+0 1.283820-1 1.343000+0 1.497060-1 1.382200+0 1.891670-1 1.433800+0 2.443630-1 1.500000+0 3.199000-1 1.562500+0 3.964620-1 1.617200+0 4.673990-1 1.712900+0 5.988800-1 1.838500+0 7.819340-1 1.946200+0 9.438580-1 2.000000+0 1.025000+0 2.044000+0 1.091000+0 2.163500+0 1.269330+0 2.372600+0 1.576630+0 2.647100+0 1.966610+0 3.000000+0 2.443000+0 3.500000+0 3.071560+0 4.000000+0 3.651000+0 4.750000+0 4.437480+0 5.000000+0 4.680000+0 6.000000+0 5.564000+0 7.000000+0 6.346000+0 8.000000+0 7.048000+0 9.000000+0 7.686000+0 1.000000+1 8.271000+0 1.100000+1 8.812000+0 1.200000+1 9.314000+0 1.300000+1 9.784000+0 1.400000+1 1.022000+1 1.500000+1 1.062000+1 1.600000+1 1.100000+1 1.800000+1 1.168000+1 2.000000+1 1.228000+1 2.200000+1 1.283000+1 2.400000+1 1.333000+1 2.600000+1 1.379000+1 2.800000+1 1.421000+1 3.000000+1 1.459000+1 4.000000+1 1.617000+1 5.000000+1 1.734000+1 6.000000+1 1.824000+1 8.000000+1 1.958000+1 1.000000+2 2.053000+1 1.500000+2 2.203000+1 2.000000+2 2.293000+1 3.000000+2 2.397000+1 4.000000+2 2.456000+1 5.000000+2 2.496000+1 6.000000+2 2.524000+1 8.000000+2 2.561000+1 1.000000+3 2.585000+1 1.500000+3 2.620000+1 2.000000+3 2.639000+1 3.000000+3 2.659000+1 4.000000+3 2.670000+1 5.000000+3 2.677000+1 6.000000+3 2.682000+1 8.000000+3 2.688000+1 1.000000+4 2.692000+1 1.500000+4 2.698000+1 2.000000+4 2.701000+1 3.000000+4 2.704000+1 4.000000+4 2.706000+1 5.000000+4 2.707000+1 6.000000+4 2.707000+1 8.000000+4 2.708000+1 1.000000+5 2.709000+1 1 65000 7 8 1.589240+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 6.513190-7 2.094700+0 1.146670-6 2.099900+0 1.525480-6 2.106600+0 2.122070-6 2.114000+0 2.936150-6 2.119500+0 3.655490-6 2.127900+0 4.957530-6 2.136250+0 6.513190-6 2.147000+0 8.930040-6 2.156900+0 1.159900-5 2.169000+0 1.547970-5 2.184500+0 2.151720-5 2.201800+0 2.976970-5 2.214800+0 3.709080-5 2.234200+0 4.989360-5 2.253680+0 6.513190-5 2.281500+0 9.122870-5 2.307000+0 1.198290-4 2.338200+0 1.611200-4 2.377400+0 2.231310-4 2.410200+0 2.837860-4 2.446800+0 3.609910-4 2.485900+0 4.545080-4 2.532900+0 5.816730-4 2.556430+0 6.513190-4 2.611900+0 8.305080-4 2.660400+0 1.004040-3 2.745300+0 1.343860-3 2.809000+0 1.627490-3 2.904500+0 2.096620-3 3.000000+0 2.617000-3 3.125000+0 3.374390-3 3.234400+0 4.105660-3 3.425800+0 5.528140-3 3.569300+0 6.702710-3 3.784700+0 8.614910-3 4.000000+0 1.067000-2 4.250000+0 1.318190-2 4.625000+0 1.712840-2 5.000000+0 2.123000-2 5.500000+0 2.685830-2 6.000000+0 3.256000-2 6.750000+0 4.104030-2 7.000000+0 4.383000-2 8.000000+0 5.474000-2 9.000000+0 6.516000-2 1.000000+1 7.504000-2 1.100000+1 8.439000-2 1.200000+1 9.319000-2 1.300000+1 1.015000-1 1.400000+1 1.093000-1 1.500000+1 1.168000-1 1.600000+1 1.239000-1 1.800000+1 1.369000-1 2.000000+1 1.488000-1 2.200000+1 1.597000-1 2.400000+1 1.696000-1 2.600000+1 1.788000-1 2.800000+1 1.873000-1 3.000000+1 1.952000-1 4.000000+1 2.278000-1 5.000000+1 2.524000-1 6.000000+1 2.718000-1 8.000000+1 3.010000-1 1.000000+2 3.221000-1 1.500000+2 3.568000-1 2.000000+2 3.784000-1 3.000000+2 4.048000-1 4.000000+2 4.206000-1 5.000000+2 4.314000-1 6.000000+2 4.393000-1 8.000000+2 4.502000-1 1.000000+3 4.574000-1 1.500000+3 4.682000-1 2.000000+3 4.744000-1 3.000000+3 4.811000-1 4.000000+3 4.851000-1 5.000000+3 4.875000-1 6.000000+3 4.892000-1 8.000000+3 4.915000-1 1.000000+4 4.929000-1 1.500000+4 4.949000-1 2.000000+4 4.960000-1 3.000000+4 4.971000-1 4.000000+4 4.978000-1 5.000000+4 4.983000-1 6.000000+4 4.985000-1 8.000000+4 4.988000-1 1.000000+5 4.990000-1 1 65000 7 8 1.589240+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 65000 7 9 1.589240+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 6.500000+1 1.000000+5 6.500000+1 5.000000+5 6.496000+1 1.000000+6 6.491300+1 1.375000+6 6.487160+1 1.500000+6 6.485100+1 1.875000+6 6.476960+1 2.000000+6 6.473800+1 2.375000+6 6.463330+1 2.500000+6 6.459500+1 2.875000+6 6.446890+1 3.000000+6 6.442300+1 3.437500+6 6.424880+1 3.812500+6 6.408280+1 4.000000+6 6.400600+1 4.437500+6 6.380500+1 4.812500+6 6.362230+1 5.000000+6 6.352700+1 5.500000+6 6.324700+1 5.875000+6 6.302160+1 6.437500+6 6.267770+1 6.500000+6 6.264030+1 7.000000+6 6.232400+1 7.500000+6 6.199870+1 8.250000+6 6.151320+1 9.000000+6 6.101600+1 1.000000+7 6.033800+1 1.250000+7 5.863900+1 1.500000+7 5.690900+1 1.750000+7 5.522200+1 2.000000+7 5.351500+1 2.250000+7 5.179030+1 2.375000+7 5.092860+1 2.500000+7 5.008300+1 2.875000+7 4.759330+1 3.000000+7 4.679300+1 3.437500+7 4.408530+1 3.500000+7 4.371650+1 4.000000+7 4.091900+1 4.500000+7 3.839850+1 5.000000+7 3.610600+1 5.500000+7 3.399830+1 5.750000+7 3.300110+1 6.000000+7 3.204200+1 6.750000+7 2.934980+1 7.000000+7 2.851900+1 7.750000+7 2.620710+1 8.000000+7 2.550100+1 9.000000+7 2.298400+1 1.000000+8 2.093200+1 1.125000+8 1.891580+1 1.187500+8 1.808970+1 1.250000+8 1.735900+1 1.437500+8 1.559350+1 1.500000+8 1.509700+1 1.625000+8 1.417220+1 1.718800+8 1.350230+1 1.812500+8 1.283240+1 1.815400+8 1.281160+1 1.881300+8 1.233330+1 1.960400+8 1.175130+1 2.000000+8 1.145600+1 2.062500+8 1.098810+1 2.250000+8 9.685790+0 2.335900+8 9.179860+0 2.445300+8 8.638070+0 2.500000+8 8.410800+0 2.625000+8 7.986060+0 2.812500+8 7.437360+0 2.906300+8 7.150310+0 2.976600+8 6.916670+0 3.000000+8 6.835400+0 3.062500+8 6.607580+0 3.335900+8 5.660350+0 3.418000+8 5.439320+0 3.500000+8 5.260100+0 3.562500+8 5.153360+0 3.671900+8 5.011250+0 4.000000+8 4.715800+0 4.125000+8 4.591960+0 4.234400+8 4.473190+0 4.425800+8 4.253790+0 4.712900+8 3.926000+0 4.750000+8 3.885000+0 5.000000+8 3.627200+0 5.500000+8 3.188750+0 5.750000+8 2.985700+0 5.937500+8 2.834270+0 6.000000+8 2.783700+0 6.625000+8 2.318450+0 6.812500+8 2.211060+0 7.000000+8 2.123000+0 8.000000+8 1.824300+0 8.125000+8 1.784330+0 1.000000+9 1.226800+0 1.031300+9 1.174970+0 1.060500+9 1.136630+0 1.100900+9 1.095530+0 1.137900+9 1.066840+0 1.183200+9 1.039600+0 1.352100+9 9.688710-1 1.426100+9 9.374240-1 1.481500+9 9.099560-1 1.500000+9 8.999300-1 1.560500+9 8.638470-1 1.615500+9 8.282350-1 1.686000+9 7.807710-1 1.764500+9 7.277760-1 1.823400+9 6.890190-1 1.911700+9 6.337350-1 2.000000+9 5.827500-1 2.139200+9 5.116700-1 2.272600+9 4.530340-1 2.443000+9 3.894410-1 2.602800+9 3.393860-1 2.825100+9 2.821390-1 2.961100+9 2.529260-1 3.215900+9 2.075560-1 3.438900+9 1.758570-1 3.500000+9 1.682260-1 3.634100+9 1.528920-1 3.975600+9 1.209890-1 4.231700+9 1.023650-1 4.615800+9 8.064450-2 5.000000+9 6.437900-2 5.539100+9 4.787610-2 5.990200+9 3.799310-2 6.708000+9 2.704300-2 8.000000+9 1.579800-2 1.00000+10 7.963500-3 1.27030+10 3.836790-3 1.70630+10 1.571230-3 2.16210+10 7.722700-4 2.93940+10 3.095860-4 3.82190+10 1.425920-4 5.26990+10 5.560670-5 6.95920+10 2.475300-5 1.00000+11 8.677200-6 1.34280+11 3.719970-6 2.20600+11 9.018760-7 4.19930+11 1.459850-7 1.03480+12 1.169510-8 3.24440+12 4.94745-10 1.00000+14 4.17230-14 2.05350+15 1.02546-17 1.00000+17 2.17880-22 1 65000 7 0 1.589240+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.02000-11 1.000000+2 1.020000-9 1.000000+3 1.020000-7 1.000000+4 1.020000-5 1.000000+5 1.020000-3 5.000000+5 2.550000-2 1.000000+6 1.020000-1 1.375000+6 1.909180-1 1.500000+6 2.263000-1 1.875000+6 3.483200-1 2.000000+6 3.941000-1 2.375000+6 5.453990-1 2.500000+6 6.002000-1 2.875000+6 7.759630-1 3.000000+6 8.381000-1 3.437500+6 1.067180+0 3.812500+6 1.275560+0 4.000000+6 1.383100+0 4.437500+6 1.639890+0 4.812500+6 1.864570+0 5.000000+6 1.978000+0 5.500000+6 2.280720+0 5.875000+6 2.507150+0 6.437500+6 2.843250+0 6.500000+6 2.880120+0 7.000000+6 3.172600+0 7.500000+6 3.458030+0 8.250000+6 3.874460+0 9.000000+6 4.278300+0 1.000000+7 4.802000+0 1.250000+7 6.088300+0 1.500000+7 7.387000+0 1.750000+7 8.693600+0 2.000000+7 9.979000+0 2.250000+7 1.122660+1 2.375000+7 1.183590+1 2.500000+7 1.243600+1 2.875000+7 1.418260+1 3.000000+7 1.474800+1 3.437500+7 1.665350+1 3.500000+7 1.691520+1 4.000000+7 1.891400+1 4.500000+7 2.072540+1 5.000000+7 2.237700+1 5.500000+7 2.389450+1 5.750000+7 2.461490+1 6.000000+7 2.531500+1 6.750000+7 2.731720+1 7.000000+7 2.796100+1 7.750000+7 2.981520+1 8.000000+7 3.041400+1 9.000000+7 3.270300+1 1.000000+8 3.484200+1 1.125000+8 3.731410+1 1.187500+8 3.846110+1 1.250000+8 3.955300+1 1.437500+8 4.245970+1 1.500000+8 4.331500+1 1.625000+8 4.485600+1 1.718800+8 4.588750+1 1.812500+8 4.683290+1 1.815400+8 4.686110+1 1.881300+8 4.747450+1 1.960400+8 4.816470+1 2.000000+8 4.849300+1 2.062500+8 4.898620+1 2.250000+8 5.033580+1 2.335900+8 5.089540+1 2.445300+8 5.156160+1 2.500000+8 5.188000+1 2.625000+8 5.256200+1 2.812500+8 5.349300+1 2.906300+8 5.392400+1 2.976600+8 5.423410+1 3.000000+8 5.433500+1 3.062500+8 5.459490+1 3.335900+8 5.564990+1 3.418000+8 5.593880+1 3.500000+8 5.622200+1 3.562500+8 5.642460+1 3.671900+8 5.677250+1 4.000000+8 5.773100+1 4.125000+8 5.805840+1 4.234400+8 5.833840+1 4.425800+8 5.879460+1 4.712900+8 5.941450+1 4.750000+8 5.948780+1 5.000000+8 5.996400+1 5.500000+8 6.076650+1 5.750000+8 6.110760+1 5.937500+8 6.134140+1 6.000000+8 6.141500+1 6.625000+8 6.203600+1 6.812500+8 6.218590+1 7.000000+8 6.233200+1 8.000000+8 6.292400+1 8.125000+8 6.298060+1 1.000000+9 6.364100+1 1.031300+9 6.371980+1 1.060500+9 6.379130+1 1.100900+9 6.388720+1 1.137900+9 6.396870+1 1.183200+9 6.405750+1 1.352100+9 6.433200+1 1.426100+9 6.442310+1 1.481500+9 6.448710+1 1.500000+9 6.450800+1 1.560500+9 6.456350+1 1.615500+9 6.461220+1 1.686000+9 6.466250+1 1.764500+9 6.471430+1 1.823400+9 6.475030+1 1.911700+9 6.479210+1 2.000000+9 6.483200+1 2.139200+9 6.487810+1 2.272600+9 6.491120+1 2.443000+9 6.494510+1 2.602800+9 6.496850+1 2.825100+9 6.498630+1 2.961100+9 6.499650+1 3.215900+9 6.500770+1 3.438900+9 6.500790+1 3.500000+9 6.500800+1 3.634100+9 6.500810+1 3.975600+9 6.500850+1 4.231700+9 6.500820+1 4.615800+9 6.500340+1 5.000000+9 6.499900+1 5.539100+9 6.499920+1 5.990200+9 6.499940+1 6.708000+9 6.499960+1 8.000000+9 6.500000+1 1.00000+10 6.500000+1 1.27030+10 6.500000+1 1.70630+10 6.500000+1 2.16210+10 6.500000+1 2.93940+10 6.500000+1 3.82190+10 6.500000+1 5.26990+10 6.500000+1 6.95920+10 6.500000+1 1.00000+11 6.500000+1 1.34280+11 6.500000+1 2.20600+11 6.500000+1 4.19930+11 6.500000+1 1.03480+12 6.500000+1 3.24440+12 6.500000+1 1.00000+14 6.500000+1 2.05350+15 6.500000+1 1.00000+17 6.500000+1 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.593000-6 0.0 1.596921-6 1.657508-7 1.600842-6 3.279751-7 1.604763-6 5.990733-7 1.608684-6 1.010120-6 1.612605-6 1.572243-6 1.616526-6 2.259022-6 1.620447-6 2.996229-6 1.624368-6 3.668458-6 1.628289-6 4.146159-6 1.632210-6 4.325758-6 1.636131-6 4.166127-6 1.640052-6 3.703878-6 1.643973-6 3.039729-6 1.651815-6 1.610472-6 1.655736-6 1.039664-6 1.659657-6 6.195656-7 1.663578-6 3.408281-7 1.667499-6 1.730763-7 1.671420-6 0.0 1.853986-6 0.0 1.858550-6 4.535539-7 1.863113-6 8.974581-7 1.867677-6 1.639281-6 1.872240-6 2.764052-6 1.876803-6 4.302224-6 1.881367-6 6.181498-6 1.885930-6 8.198763-6 1.890493-6 1.003822-5 1.895057-6 1.134538-5 1.899620-6 1.183683-5 1.904183-6 1.140002-5 1.908747-6 1.013515-5 1.913310-6 8.317794-6 1.922437-6 4.406831-6 1.927000-6 2.844897-6 1.931563-6 1.695355-6 1.936127-6 9.326286-7 1.940690-6 4.735991-7 1.945254-6 0.0 2.273149-6 0.0 2.281542-6 3.081592+0 2.284339-6 4.095759+0 2.289935-6 7.481239+0 2.295530-6 1.261440+1 2.301824-6 2.070401+1 2.311528-6 3.611967+1 2.318609-6 4.655592+1 2.324019-6 5.198277+1 2.329693-6 5.380935+1 2.335542-6 5.115511+1 2.341121-6 4.502450+1 2.349673-6 3.173521+1 2.357075-6 2.011160+1 2.363020-6 1.265619+1 2.368265-6 7.737147+0 2.373861-6 4.256268+0 2.381903-6 1.217027+0 2.385051-6 0.0 2.437680-6 0.0 2.448180-6 7.377302+0 2.449680-6 8.420448+0 2.455680-6 1.538064+1 2.462055-6 2.683382+1 2.468430-6 4.256525+1 2.479126-6 7.517484+1 2.486055-6 9.494900+1 2.492651-6 1.071936+2 2.498114-6 1.107643+2 2.504231-6 1.058743+2 2.510758-6 9.203570+1 2.520204-6 6.378782+1 2.527680-6 4.134733+1 2.533680-6 2.669240+1 2.539680-6 1.590676+1 2.545680-6 8.750438+0 2.554680-6 2.224397+0 2.557680-6 0.0 3.293905-6 0.0 3.302012-6 3.58086-15 3.310120-6 7.08553-15 3.318227-6 1.29423-14 3.326335-6 2.18225-14 3.334442-6 3.39665-14 3.342550-6 4.88036-14 3.350657-6 6.47301-14 3.358765-6 7.92528-14 3.366872-6 8.95730-14 3.374980-6 9.34531-14 3.383088-6 9.00044-14 3.391195-6 8.00181-14 3.399303-6 6.56699-14 3.415518-6 3.47924-14 3.423625-6 2.24608-14 3.431733-6 1.33850-14 3.439840-6 7.36320-15 3.447948-6 3.73912-15 3.456055-6 0.0 3.843653-6 0.0 3.860210-6 1.019557-1 3.862575-6 1.163722-1 3.872035-6 2.125659-1 3.881496-6 3.584175-1 3.890957-6 5.578782-1 3.894046-6 6.408434-1 3.914566-6 1.670677+0 3.924938-6 2.321239+0 3.935536-6 3.110421+0 3.960987-6 5.210801+0 3.971170-6 5.880386+0 3.981878-6 6.236667+0 3.990339-6 6.219794+0 4.000080-6 5.788393+0 4.012759-6 4.710425+0 4.035264-6 2.376354+0 4.037662-6 2.145229+0 4.047246-6 1.384883+0 4.056830-6 8.252894-1 4.066415-6 4.539968-1 4.080791-6 1.154076-1 4.085583-6 0.0 4.336532-6 0.0 4.336551-6 1.09657-14 4.347225-6 1.40340-11 4.357899-6 2.77661-11 4.368573-6 5.07115-11 4.379247-6 8.54979-11 4.389921-6 1.33064-10 4.405777-6 2.21420-10 4.427678-6 2.563271-2 4.439314-6 1.112852-1 4.449475-6 1.945814-1 4.460373-6 3.339276-1 4.471934-6 5.475443-1 4.485873-6 8.849106-1 4.507333-6 1.453265+0 4.515427-6 1.633229+0 4.526300-6 1.781110+0 4.538532-6 1.787135+0 4.548047-6 1.688405+0 4.561638-6 1.393205+0 4.586103-6 7.420861-1 4.591540-6 6.054309-1 4.602413-6 3.860731-1 4.613286-6 2.268723-1 4.623845-6 1.201488-1 4.640519-6 2.871636-2 4.645642-6 8.04924-12 4.658214-6 1.77364-11 4.669624-6 3.23936-11 4.672249-6 3.74944-11 4.683749-6 4.873968-3 4.695274-6 3.424589-2 4.706802-6 6.631947-2 4.718331-6 1.186821-1 4.729859-6 1.962638-1 4.741388-6 2.999178-1 4.770209-6 6.093614-1 4.775973-6 6.662549-1 4.787502-6 7.422154-1 4.799030-6 7.639532-1 4.810558-6 7.264980-1 4.825596-6 6.052356-1 4.850163-6 3.690026-1 4.856844-6 3.144898-1 4.868201-6 2.507277-1 4.873923-6 2.351025-1 4.880462-6 2.254927-1 4.891258-6 2.353885-1 4.914534-6 3.089659-1 4.921788-6 3.501275-1 4.933873-6 4.000768-1 4.945958-6 4.250420-1 4.958042-6 4.253111-1 5.004598-6 3.456726-1 5.038010-6 3.427964-1 5.054719-6 3.446583-1 5.117158-6 3.317554-1 5.190254-6 3.071934-1 5.235098-6 2.831972-1 5.272538-6 2.813101-1 5.320710-6 2.862550-1 5.815356-6 2.133211-1 5.909505-6 2.019003-1 5.938596-6 9.698532-1 5.953142-6 1.605746+0 5.968596-6 2.653080+0 5.983142-6 3.991646+0 6.010149-6 7.096321+0 6.026324-6 8.850693+0 6.042634-6 1.000166+1 6.056502-6 1.031854+1 6.070841-6 9.881764+0 6.086665-6 8.612524+0 6.109562-6 6.022761+0 6.127687-6 3.965491+0 6.142233-6 2.621708+0 6.156778-6 1.632340+0 6.171324-6 9.754054-1 6.198597-6 2.222215-1 6.200415-6 1.710704-1 6.515002-6 1.437526-1 6.547660-6 7.378078-1 6.563853-6 1.231372+0 6.579646-6 1.953326+0 6.596547-6 3.019959+0 6.644117-6 6.655003+0 6.661024-6 7.487346+0 6.676832-6 7.743994+0 6.692398-6 7.435953+0 6.709025-6 6.548682+0 6.755539-6 2.970054+0 6.771575-6 1.961114+0 6.787611-6 1.232455+0 6.803647-6 7.585092-1 6.826022-6 3.802858-1 6.835718-6 2.240311-1 6.842701-6 2.447589-1 6.859379-6 3.127529-1 6.909414-6 5.670646-1 6.926092-6 6.246913-1 6.942770-6 6.457104-1 6.959448-6 6.251379-1 6.976126-6 5.674045-1 7.026161-6 3.074249-1 7.042839-6 2.363808-1 7.059518-6 1.838871-1 7.076196-6 1.487530-1 7.109552-6 1.050894-1 7.513930-6 8.577340-2 7.933321-6 7.008166-2 7.972375-6 1.045840-1 7.991902-6 1.335482-1 8.011429-6 1.778162-1 8.030956-6 2.385811-1 8.080217-6 4.279932-1 8.093610-6 4.763625-1 8.111990-6 5.200531-1 8.131477-6 5.335847-1 8.150964-6 5.108065-1 8.171381-6 4.532190-1 8.228912-6 2.282428-1 8.245751-6 1.740138-1 8.265278-6 1.276069-1 8.284805-6 9.663607-2 8.323859-6 5.835130-2 8.479752-6 5.435336-2 8.521495-6 6.682700-2 8.542367-6 7.748550-2 8.563239-6 9.389860-2 8.584111-6 1.165239-1 8.646726-6 2.012523-1 8.667598-6 2.204275-1 8.691305-6 2.264033-1 8.712697-6 2.172172-1 8.746465-6 1.802650-1 8.783593-6 1.336067-1 8.797872-6 1.260388-1 8.815898-6 1.223103-1 8.827638-6 1.241424-1 8.848494-6 1.403970-1 8.867159-6 1.697072-1 8.891692-6 2.231028-1 8.940778-6 3.647326-1 8.959834-6 4.105660-1 8.981410-6 4.438188-1 9.002986-6 4.519196-1 9.024561-6 4.339641-1 9.049738-6 3.872411-1 9.110863-6 2.409306-1 9.132439-6 2.005979-1 9.154014-6 1.703688-1 9.172957-6 1.511912-1 9.217658-6 1.259392-1 9.299149-6 1.198129-1 9.347466-6 1.132809-1 9.412634-6 1.140383-1 9.436970-6 1.217632-1 9.462196-6 1.358975-1 9.531234-6 1.955893-1 9.552039-6 2.099895-1 9.573720-6 2.181488-1 9.596391-6 2.175848-1 9.623558-6 2.077870-1 9.684391-6 1.712805-1 9.707692-6 1.626888-1 9.730367-6 1.596157-1 9.753355-6 1.616645-1 9.842109-6 1.828774-1 9.866275-6 1.847616-1 9.966637-6 1.773206-1 1.015908-5 1.725437-1 1.032505-5 1.545506-1 1.037581-5 1.533502-1 1.054103-5 1.669699-1 1.065860-5 1.682048-1 1.171521-5 1.618547-1 1.297237-5 1.654649-1 1.452673-5 1.835612-1 1.611900-5 2.160852-1 1.792903-5 2.696980-1 1.993984-5 3.498724-1 2.237153-5 4.772451-1 2.335953-5 5.393886-1 2.347453-5 2.496939+0 2.353202-5 4.112502+0 2.358952-5 6.560080+0 2.362051-5 8.361409+0 2.364702-5 1.378557+1 2.373679-5 3.331363+1 2.379493-5 5.146551+1 2.386033-5 7.980009+1 2.391985-5 1.118499+2 2.404949-5 1.897051+2 2.412272-5 2.216888+2 2.415355-5 2.297417+2 2.421283-5 2.316085+2 2.426929-5 2.177708+2 2.433124-5 1.872368+2 2.449259-5 8.371254+1 2.455073-5 5.406909+1 2.460887-5 3.247596+1 2.466701-5 1.815018+1 2.476652-5 3.206887+0 2.478329-5 6.367250-1 2.506047-5 6.576102-1 2.518383-5 9.106866-1 2.524552-5 1.116840+0 2.530720-5 1.427014+0 2.536888-5 1.849473+0 2.555393-5 3.422022+0 2.561562-5 3.781928+0 2.564440-5 3.856163+0 2.567730-5 4.168535+0 2.575481-5 4.526197+0 2.583376-5 4.885558+0 2.589688-5 5.499976+0 2.596000-5 6.530369+0 2.610119-5 1.009279+1 2.614936-5 1.139614+1 2.622037-5 1.279572+1 2.628349-5 1.336000+1 2.634370-5 1.318966+1 2.645615-5 1.150130+1 2.659208-5 9.176474+0 2.667141-5 8.476355+0 2.675635-5 8.327599+0 2.707794-5 8.627019+0 2.755150-5 7.984357+0 2.793746-5 7.592723+0 2.807498-5 1.689629+1 2.815049-5 2.578305+1 2.821683-5 3.739962+1 2.828520-5 5.365731+1 2.848972-5 1.130287+2 2.856595-5 1.269953+2 2.863623-5 1.306455+2 2.870018-5 1.255361+2 2.876828-5 1.118154+2 2.896981-5 5.291153+1 2.904025-5 3.622454+1 2.910645-5 2.455713+1 2.917522-5 1.650221+1 2.931274-5 6.621974+0 2.974463-5 6.442584+0 2.993019-5 6.556595+0 3.020602-5 7.093485+0 3.042906-5 7.895578+0 3.059416-5 8.864418+0 3.083775-5 1.099938+1 3.095166-5 1.154739+1 3.104153-5 1.142859+1 3.132176-5 9.937208+0 3.141504-5 9.681458+0 3.222369-5 9.379500+0 3.301571-5 8.623372+0 3.540581-5 7.496137+0 3.815328-5 6.702506+0 4.150491-5 6.140734+0 4.575440-5 5.824220+0 4.869961-5 5.817349+0 4.987171-5 5.831993+0 5.561707-5 6.063014+0 6.621548-5 6.960331+0 9.198345-5 9.331594+0 1.198756-4 1.120174+1 1.405945-4 1.214449+1 1.412884-4 1.270945+1 1.419839-4 2.332756+1 1.423317-4 3.201203+1 1.426794-4 4.483418+1 1.430804-4 6.513425+1 1.440922-4 1.242060+2 1.444502-4 1.370174+2 1.447986-4 1.404328+2 1.451701-4 1.330678+2 1.455344-4 1.168205+2 1.465048-4 5.901948+1 1.467002-4 4.963850+1 1.468743-4 4.319682+1 1.472003-4 3.467607+1 1.474223-4 3.150419+1 1.475939-4 3.058022+1 1.477834-4 3.084307+1 1.481784-4 3.466728+1 1.482849-4 3.709719+1 1.485713-4 4.667672+1 1.496152-4 8.738535+1 1.500193-4 9.711802+1 1.503892-4 9.952566+1 1.507498-4 9.517032+1 1.511566-4 8.337736+1 1.521651-4 4.435823+1 1.524918-4 3.403901+1 1.528465-4 2.575149+1 1.531997-4 2.023268+1 1.539218-4 1.336020+1 1.562366-4 1.396693+1 1.584138-4 1.471472+1 1.696000-4 1.607116+1 1.778500-4 1.591759+1 2.014036-4 1.418995+1 2.280468-4 1.321164+1 2.712264-4 1.288574+1 2.746454-4 1.337626+1 2.779821-4 1.437813+1 2.822818-4 1.414503+1 3.087535-4 1.406706+1 3.166110-4 1.436855+1 3.815121-4 1.426474+1 3.898572-4 1.466618+1 5.905409-4 1.285454+1 8.883763-4 9.909229+0 1.171178-3 7.827806+0 1.205332-3 7.644650+0 1.211266-3 1.095227+1 1.214350-3 1.388139+1 1.217418-3 1.834308+1 1.220604-3 2.473984+1 1.228781-3 4.511537+1 1.232512-3 5.184683+1 1.235502-3 5.420618+1 1.239630-3 5.263274+1 1.243366-3 4.887269+1 1.248885-3 4.243104+1 1.250427-3 4.120447+1 1.253257-3 4.085765+1 1.256236-3 4.248022+1 1.265528-3 5.195221+1 1.269078-3 5.409920+1 1.272148-3 5.355250+1 1.275479-3 5.082642+1 1.284331-3 3.998228+1 1.286997-3 3.733216+1 1.290044-3 3.517918+1 1.297163-3 3.279728+1 1.299188-3 3.219764+1 1.351597-3 3.314149+1 1.422640-3 3.230318+1 1.564111-3 2.869684+1 1.579439-3 2.973890+1 1.598166-3 3.191768+1 1.721360-3 2.906850+1 1.763126-3 2.987924+1 1.916636-3 2.693904+1 1.966400-3 2.699232+1 2.344229-3 2.148246+1 2.728585-3 1.745850+1 3.174817-3 1.406188+1 3.599567-3 1.171053+1 4.066618-3 9.760831+0 4.649240-3 7.969158+0 5.308844-3 6.494534+0 6.014496-3 5.342087+0 6.897814-3 4.297681+0 7.323950-3 3.917598+0 7.374459-3 4.082126+0 7.404296-3 4.424266+0 7.431001-3 4.997923+0 7.458383-3 5.876801+0 7.530810-3 8.661535+0 7.565913-3 9.517800+0 7.604210-3 9.927029+0 7.729529-3 9.888268+0 8.091788-3 9.236516+0 8.165173-3 9.484753+0 8.247733-3 1.065750+1 8.305440-3 1.149578+1 8.384126-3 1.183704+1 8.575712-3 1.165442+1 8.754059-3 1.261291+1 9.006973-3 1.228904+1 1.038277-2 9.849754+0 1.198060-2 7.826074+0 1.367040-2 6.310360+0 1.546650-2 5.142472+0 1.764971-2 4.120837+0 1.983810-2 3.377719+0 2.264645-2 2.690527+0 2.507129-2 2.254813+0 2.828273-2 1.826622+0 3.181106-2 1.484334+0 3.586967-2 1.199469+0 4.033000-2 9.731322-1 4.493842-2 8.008627-1 5.053244-2 6.487090-1 5.095605-2 6.531658-1 5.115243-2 6.842939-1 5.130884-2 7.464443-1 5.143742-2 8.382603-1 5.158365-2 1.002404+0 5.173457-2 1.246547+0 5.194899-2 1.706422+0 5.228996-2 2.498780+0 5.253060-2 2.908253+0 5.279322-2 3.142766+0 5.313081-2 3.227711+0 6.313504-2 2.463014+0 7.089012-2 2.038776+0 7.953138-2 1.679420+0 8.972120-2 1.366025+0 1.020245-1 1.093903+0 1.152398-1 8.837511-1 1.286966-1 7.276803-1 1.434369-1 6.002312-1 1.604327-1 4.922496-1 1.800783-1 4.012817-1 1.998551-1 3.337121-1 2.227512-1 2.756364-1 2.496331-1 2.261510-1 2.789494-1 1.868586-1 3.085852-1 1.576123-1 3.495158-1 1.283828-1 3.920795-1 1.068611-1 4.394362-1 8.960263-2 4.962053-1 7.475925-2 5.585104-1 6.319682-2 6.396428-1 5.262880-2 7.265241-1 4.478761-2 8.413951-1 3.764461-2 9.772372-1 3.200723-2 1.173413+0 2.628515-2 1.410753+0 2.143701-2 1.696098+0 1.748309-2 2.039158+0 1.425844-2 2.451607+0 1.162856-2 2.947480+0 9.483739-3 3.543651+0 7.734521-3 4.068655+0 6.637795-3 4.891600+0 5.413494-3 5.880996+0 4.415008-3 7.070513+0 3.600687-3 8.500626+0 2.936562-3 9.760024+0 2.520168-3 1.000000+1 5.177516-3 1 65000 7 0 1.589240+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-6.453062+1 1.828188-6-6.203425+1 2.089716-6-5.838313+1 2.193880-6-5.396968+1 2.239648-6-4.929477+1 2.261873-6-4.458887+1 2.272257-6-4.029946+1 2.289935-6-2.963463+1 2.297453-6-2.541353+1 2.303048-6-2.396924+1 2.308118-6-2.482833+1 2.312315-6-2.753683+1 2.316730-6-3.229016+1 2.323275-6-4.306617+1 2.334194-6-6.493097+1 2.339728-6-5.514408+1 2.343834-6-4.959137+1 2.349071-6-4.530823+1 2.354715-6-4.402525+1 2.362670-6-4.670267+1 2.389584-6-6.483873+1 2.424953-6-4.738804+1 2.434083-6-4.070450+1 2.437680-6-3.650184+1 2.441772-6-3.163263+1 2.448930-6-2.440666+1 2.457461-6-1.397195+1 2.461152-6-1.036351+1 2.462055-6-9.196809+0 2.462758-6-8.525698+0 2.463988-6-7.631028+0 2.468430-6-5.287985+0 2.469742-6-5.103576+0 2.470727-6-5.186713+0 2.472203-6-5.584225+0 2.473680-6-6.200693+0 2.474430-6-6.611687+0 2.475742-6-7.677802+0 2.477465-6-9.592687+0 2.479126-6-1.202885+1 2.482305-6-1.819024+1 2.484731-6-2.400547+1 2.490493-6-4.226616+1 2.496356-6-6.502894+1 2.498114-6-5.706504+1 2.504912-6-3.024566+1 2.510055-6-1.348637+1 2.510758-6-1.141667+1 2.511989-6-8.234513+0 2.512912-6-6.088893+0 2.514296-6-3.152369+0 2.515680-6-3.936033-1 2.516430-6 1.006524+0 2.517743-6 3.036885+0 2.518727-6 4.318008+0 2.520204-6 5.884468+0 2.520942-6 6.502037+0 2.523180-6 7.716373+0 2.524305-6 8.136132+0 2.525993-6 8.402353+0 2.526836-6 8.322858+0 2.530680-6 6.622671+0 2.532180-6 5.754758+0 2.532930-6 5.170815+0 2.534430-6 3.461916+0 2.537055-6 1.084320+0 2.538368-6-2.006319-1 2.539024-6-9.354387-1 2.539680-6-1.854954+0 2.545680-6-8.796697+0 2.546430-6-9.790697+0 2.547743-6-1.120728+1 2.556180-6-1.932609+1 2.559118-6-2.332158+1 2.563415-6-2.714454+1 2.570526-6-3.152775+1 2.584545-6-3.720930+1 2.606443-6-4.260517+1 2.643169-6-4.773938+1 2.711092-6-5.251884+1 2.848769-6-5.663798+1 3.197369-6-6.007405+1 3.853114-6-6.350329+1 3.946579-6-6.504422+1 3.990339-6-6.093996+1 4.026372-6-5.800471+1 4.162126-6-6.107131+1 4.515427-6-6.273829+1 4.599695-6-6.128488+1 4.799030-6-6.234149+1 5.808405-6-6.438298+1 5.896810-6-6.450134+1 5.993422-6-6.126464+1 6.034250-6-6.420777+1 6.043404-6-6.466589+1 6.095241-6-5.782865+1 6.134960-6-5.695840+1 6.259142-6-6.106137+1 6.536638-6-6.484631+1 6.623672-6-6.413598+1 6.644117-6-6.491225+1 6.722636-6-5.805728+1 6.775584-6-5.788734+1 6.901074-6-6.072971+1 8.179483-6-6.237178+1 1.532603-5-6.543374+1 1.922898-5-6.153105+1 2.104814-5-5.633617+1 2.194970-5-5.064842+1 2.247699-5-4.451039+1 2.278274-5-3.874285+1 2.300218-5-3.259420+1 2.316677-5-2.595572+1 2.327649-5-1.981808+1 2.334396-5-1.482063+1 2.341703-5-7.909500+0 2.344578-5-4.969145+0 2.346015-5-3.376936+0 2.347453-5-1.642355+0 2.350328-5 2.028215+0 2.351765-5 3.980538+0 2.353202-5 6.117477+0 2.356077-5 1.069933+1 2.357515-5 1.319661+1 2.358952-5 1.600121+1 2.361276-5 2.130934+1 2.362382-5 2.488200+1 2.364702-5 3.055553+1 2.381491-5 6.230054+1 2.387305-5 6.882750+1 2.391985-5 6.886243+1 2.395023-5 6.540711+1 2.398300-5 5.844177+1 2.401209-5 4.944738+1 2.403897-5 3.825360+1 2.407418-5 1.847961+1 2.408652-5 1.103178+1 2.409274-5 6.973727+0 2.409578-5 4.872120+0 2.410167-5 3.570823-1 2.412798-5-1.859380+1 2.413932-5-2.772707+1 2.415017-5-3.804814+1 2.418798-5-6.810606+1 2.420392-5-5.391185+1 2.421601-5-4.266012+1 2.425696-5-1.106608+1 2.426210-5-6.754272+0 2.426568-5-3.278569+0 2.426929-5-2.783563-1 2.427605-5 4.802151+0 2.428197-5 8.927590+0 2.429233-5 1.569837+1 2.433124-5 3.974594+1 2.435078-5 4.921774+1 2.438353-5 6.109507+1 2.441953-5 6.982071+1 2.446177-5 7.472191+1 2.448489-5 7.450783+1 2.454347-5 6.658319+1 2.460887-5 5.136988+1 2.468188-5 3.290492+1 2.474974-5 1.894286+1 2.476652-5 1.523375+1 2.477910-5 1.194379+1 2.478649-5 9.322267+0 2.479210-5 7.738906+0 2.480050-5 5.705118+0 2.480891-5 3.897561+0 2.482370-5 1.065345+0 2.483480-5-8.490121-1 2.485144-5-3.469148+0 2.486808-5-5.850297+0 2.488288-5-7.803974+0 2.490876-5-1.092252+1 2.495730-5-1.597724+1 2.501861-5-2.130255+1 2.512108-5-2.854972+1 2.527636-5-3.694897+1 2.546141-5-4.430218+1 2.602898-5-5.853367+1 2.618092-5-5.898526+1 2.643854-5-5.565606+1 2.659208-5-5.692921+1 2.713113-5-6.483457+1 2.752120-5-7.227000+1 2.760146-5-7.451023+1 2.777796-5-6.626313+1 2.790024-5-5.666560+1 2.797412-5-4.717241+1 2.807498-5-3.593890+1 2.817437-5-2.369195+1 2.821254-5-1.960581+1 2.822489-5-1.821102+1 2.823898-5-1.710742+1 2.829279-5-1.390334+1 2.830702-5-1.370110+1 2.833037-5-1.412713+1 2.835659-5-1.552600+1 2.837849-5-1.740003+1 2.840665-5-2.085350+1 2.844205-5-2.669901+1 2.846837-5-3.226654+1 2.848972-5-3.837149+1 2.854843-5-5.663783+1 2.857941-5-6.876702+1 2.859511-5-6.474053+1 2.862419-5-5.314590+1 2.864343-5-4.485406+1 2.869173-5-2.676373+1 2.870018-5-2.302275+1 2.871481-5-1.778396+1 2.876263-5-2.700672+0 2.876828-5-8.067714-1 2.877887-5 2.146022+0 2.878814-5 4.441886+0 2.880435-5 8.014761+0 2.881680-5 1.044404+1 2.883476-5 1.356171+1 2.885301-5 1.634345+1 2.888038-5 1.968168+1 2.890274-5 2.162617+1 2.893208-5 2.315966+1 2.896038-5 2.334922+1 2.902264-5 2.021141+1 2.904025-5 1.858822+1 2.909921-5 1.283122+1 2.910645-5 1.183086+1 2.917522-5 4.038116+0 2.918807-5 2.451116+0 2.921057-5 1.975503-1 2.927807-5-6.031557+0 2.929541-5-7.827422+0 2.930841-5-9.429238+0 2.931727-5-1.088264+1 2.933705-5-1.314817+1 2.936662-5-1.574675+1 2.941976-5-1.938747+1 2.949060-5-2.312587+1 2.960866-5-2.778895+1 2.978899-5-3.292745+1 3.006567-5-3.838568+1 3.051380-5-4.402424+1 3.081529-5-4.553437+1 3.120296-5-4.416840+1 3.214659-5-4.657330+1 3.636509-5-5.024556+1 4.939986-5-5.376537+1 7.679849-5-5.558366+1 1.129225-4-5.692334+1 1.267160-4-5.989004+1 1.331511-4-5.405062+1 1.364583-4-4.799498+1 1.384396-4-4.148111+1 1.395321-4-3.565266+1 1.402341-4-3.010823+1 1.407673-4-2.401453+1 1.410482-4-1.973551+1 1.412445-4-1.564916+1 1.413469-4-1.261398+1 1.414586-4-1.006463+1 1.417869-4-3.546436+0 1.418854-4-1.509474+0 1.419346-4-3.958119-1 1.419839-4 9.241325-1 1.423317-4 9.148853+0 1.423751-4 1.034815+1 1.427229-4 1.732055+1 1.427990-4 1.841957+1 1.430804-4 2.097549+1 1.432274-4 2.068101+1 1.433770-4 1.912499+1 1.434945-4 1.710503+1 1.435903-4 1.493387+1 1.437162-4 1.131714+1 1.437971-4 8.465146+0 1.438375-4 6.848306+0 1.438780-4 5.031620+0 1.439742-4 3.575492-1 1.440224-4-2.219304+0 1.440464-4-3.629319+0 1.440922-4-6.735269+0 1.442960-4-1.919528+1 1.443953-4-2.619066+1 1.444896-4-3.396981+1 1.447522-4-5.351590+1 1.447986-4-5.790515+1 1.451299-4-3.614684+1 1.452384-4-2.874756+1 1.455065-4-1.308761+1 1.455865-4-9.363650+0 1.456721-4-6.065431+0 1.457421-4-3.774108+0 1.457945-4-2.263452+0 1.458731-4-3.038163-1 1.459518-4 1.319729+0 1.460209-4 2.464118+0 1.460814-4 3.234661+0 1.461343-4 3.738070+0 1.462269-4 4.229239+0 1.462964-4 4.255487+0 1.463485-4 4.065145+0 1.463876-4 3.790886+0 1.464462-4 3.128304+0 1.464755-4 2.648761+0 1.466025-4-2.586156-1 1.466513-4-1.412315+0 1.466757-4-2.062141+0 1.468335-4-6.966735+0 1.468743-4-8.546083+0 1.471392-4-1.673772+1 1.477834-4-4.049088+1 1.482457-4-5.607586+1 1.483476-4-5.938267+1 1.486241-4-5.336772+1 1.489198-4-5.165384+1 1.491870-4-5.345911+1 1.495037-4-5.942741+1 1.499285-4-4.427544+1 1.500663-4-3.747459+1 1.503276-4-2.564609+1 1.503892-4-2.202256+1 1.507253-4-6.472531+0 1.507498-4-5.132990+0 1.507958-4-3.049186+0 1.508764-4 1.562544-1 1.511566-4 1.019983+1 1.512292-4 1.234573+1 1.512926-4 1.394757+1 1.514037-4 1.630221+1 1.514870-4 1.775133+1 1.516120-4 1.946700+1 1.518440-4 2.122919+1 1.520508-4 2.151112+1 1.521651-4 2.087471+1 1.524510-4 1.814018+1 1.527800-4 1.325854+1 1.532795-4 4.663316+0 1.535899-4 2.100054-1 1.538386-4-3.347912+0 1.538802-4-4.072188+0 1.539675-4-5.943059+0 1.540532-4-7.313734+0 1.542030-4-9.266684+0 1.544846-4-1.219144+1 1.548661-4-1.530300+1 1.554697-4-1.908653+1 1.562366-4-2.262563+1 1.574686-4-2.642187+1 1.592177-4-2.978867+1 1.621307-4-3.338094+1 1.660517-4-3.582267+1 1.742986-4-3.739526+1 2.822818-4-3.987379+1 3.087535-4-3.820089+1 3.815121-4-3.579535+1 4.930000-4-3.239076+1 6.488574-4-3.009217+1 8.337976-4-2.970173+1 9.793976-4-3.114369+1 1.080812-3-3.366636+1 1.144854-3-3.670649+1 1.188989-3-4.053286+1 1.214350-3-4.477798+1 1.228781-3-4.968125+1 1.242305-3-5.468158+1 1.252011-3-5.445269+1 1.272148-3-5.083269+1 1.290044-3-4.717075+1 1.310813-3-4.184101+1 1.351597-3-3.581725+1 1.403742-3-3.057240+1 1.462966-3-2.653423+1 1.524314-3-2.425394+1 1.564111-3-2.394222+1 1.595054-3-2.480898+1 1.608167-3-2.402225+1 1.640096-3-2.132320+1 1.687709-3-1.935126+1 1.730353-3-1.858021+1 1.755216-3-1.833937+1 1.815296-3-1.585619+1 1.884691-3-1.432614+1 1.939185-3-1.381142+1 2.002212-3-1.198053+1 2.093645-3-1.036261+1 2.232370-3-8.655755+0 2.410057-3-7.164775+0 2.598289-3-6.105471+0 2.799360-3-5.324856+0 3.063727-3-4.699859+0 3.379388-3-4.313189+0 3.762896-3-4.143150+0 4.237211-3-4.213111+0 4.854317-3-4.561344+0 5.558042-3-5.231115+0 6.207127-3-6.154600+0 6.675099-3-7.173397+0 6.984535-3-8.219760+0 7.182722-3-9.292239+0 7.310224-3-1.046143+1 7.384329-3-1.171554+1 7.473447-3-1.375792+1 7.511575-3-1.399278+1 7.565913-3-1.320290+1 7.647862-3-1.136420+1 7.729529-3-1.029191+1 7.860626-3-9.479824+0 8.012752-3-9.192052+0 8.121334-3-9.506332+0 8.229880-3-1.028398+1 8.286296-3-1.017964+1 8.445900-3-8.458212+0 8.538682-3-8.064324+0 8.668625-3-7.887389+0 8.754059-3-7.215025+0 8.863787-3-6.240411+0 9.006973-3-5.406895+0 9.241207-3-4.482951+0 9.442645-3-3.882257+0 9.785315-3-3.097406+0 1.017624-2-2.441836+0 1.056424-2-1.948428+0 1.081466-2-1.688777+0 1.121628-2-1.353693+0 1.169205-2-1.042618+0 1.214683-2-8.191342-1 1.261174-2-6.437558-1 1.299889-2-5.272409-1 1.347992-2-4.151782-1 1.379101-2-3.553256-1 1.440860-2-2.651971-1 1.475388-2-2.269351-1 1.510298-2-1.969836-1 1.546650-2-1.743333-1 1.614362-2-1.469553-1 1.646753-2-1.409745-1 1.709129-2-1.367719-1 1.781640-2-1.422895-1 1.839945-2-1.531566-1 1.929954-2-1.809083-1 2.073600-2-2.402088-1 2.401260-2-4.093099-1 3.725547-2-1.147842+0 4.164575-2-1.439467+0 4.493842-2-1.730431+0 4.732904-2-2.038466+0 4.898295-2-2.368153+0 5.002785-2-2.700583+0 5.071742-2-3.063003+0 5.115243-2-3.460410+0 5.183905-2-4.347454+0 5.209245-2-4.426323+0 5.235110-2-4.231248+0 5.297245-2-3.328723+0 5.342264-2-2.868297+0 5.396235-2-2.517272+0 5.480846-2-2.151687+0 5.595486-2-1.816800+0 5.742519-2-1.513403+0 5.889994-2-1.286254+0 6.111770-2-1.042253+0 6.313504-2-8.807141-1 6.602384-2-7.106237-1 6.924945-2-5.729971-1 7.261624-2-4.671887-1 7.608109-2-3.892331-1 7.953138-2-3.337285-1 8.319710-2-2.910191-1 8.755111-2-2.565487-1 9.405774-2-2.262614-1 9.947635-2-2.125095-1 1.073437-1-2.075487-1 1.194821-1-2.172876-1 1.381695-1-2.467145-1 1.864160-1-3.305602-1 2.402288-1-3.981615-1 3.085852-1-4.522974-1 4.205963-1-5.001502-1 6.396428-1-5.385468-1 1.173413+0-5.610503-1 3.543651+0-5.699336-1 1.000000+1-5.710042-1 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.333295-1 1.122974-6 2.343631-1 1.163687-6 2.803292-1 1.201855-6 3.307810-1 1.237637-6 3.856022-1 1.271183-6 4.446306-1 1.302633-6 5.076627-1 1.332117-6 5.744583-1 1.385672-6 7.182233-1 1.409966-6 7.945952-1 1.432741-6 8.742481-1 1.475446-6 1.044829+0 1.512812-6 1.220686+0 1.545507-6 1.399526+0 1.574116-6 1.578453+0 1.599149-6 1.754987+0 1.621052-6 1.928365+0 1.659383-6 2.275483+0 1.688131-6 2.578359+0 1.709692-6 2.836931+0 1.742034-6 3.281109+0 1.783111-6 3.954624+0 1.813683-6 4.562798+0 1.844254-6 5.286148+0 1.861724-6 5.762091+0 1.883964-6 6.442426+0 1.903425-6 7.115428+0 1.920452-6 7.776807+0 1.935352-6 8.420724+0 1.961425-6 9.708564+0 1.980981-6 1.083497+1 1.995647-6 1.179371+1 2.017647-6 1.344377+1 2.044667-6 1.588344+1 2.064748-6 1.808585+1 2.084830-6 2.072122+1 2.099891-6 2.304815+1 2.114952-6 2.574627+1 2.130013-6 2.890092+1 2.140053-6 3.131010+1 2.151277-6 3.434840+1 2.161798-6 3.758724+1 2.171663-6 4.103301+1 2.180910-6 4.469269+1 2.189580-6 4.857297+1 2.197708-6 5.268018+1 2.205328-6 5.702056+1 2.212471-6 6.160048+1 2.219168-6 6.642651+1 2.225447-6 7.150534+1 2.231333-6 7.684370+1 2.236851-6 8.244856+1 2.242025-6 8.832762+1 2.246875-6 9.449020+1 2.251422-6 1.009482+2 2.259947-6 1.153162+2 2.267407-6 1.311898+2 2.273934-6 1.487558+2 2.279646-6 1.681329+2 2.284643-6 1.892909+2 2.289016-6 2.120165+2 2.292842-6 2.359349+2 2.296190-6 2.605679+2 2.299119-6 2.854044+2 2.301683-6 3.099588+2 2.305888-6 3.566301+2 2.311898-6 4.388712+2 2.321320-6 6.088513+2 2.325335-6 6.965949+2 2.328190-6 7.639869+2 2.331044-6 8.349271+2 2.336754-6 9.843069+2 2.337467-6 1.003382+3 2.342463-6 1.136597+3 2.344426-6 1.187745+3 2.348173-6 1.281085+3 2.350135-6 1.326756+3 2.352009-6 1.367667+3 2.353882-6 1.405512+3 2.356380-6 1.450470+3 2.358789-6 1.487066+3 2.361019-6 1.514370+3 2.362892-6 1.532025+3 2.365301-6 1.547213+3 2.368513-6 1.553702+3 2.371189-6 1.546770+3 2.372183-6 1.541326+3 2.374451-6 1.523140+3 2.376985-6 1.493594+3 2.378995-6 1.463525+3 2.381730-6 1.413824+3 2.384115-6 1.362939+3 2.385828-6 1.322519+3 2.388317-6 1.258784+3 2.390126-6 1.209278+3 2.392802-6 1.132181+3 2.395187-6 1.060562+3 2.397099-6 1.001880+3 2.399558-6 9.256793+2 2.402056-6 8.483899+2 2.404665-6 7.688747+2 2.408122-6 6.672055+2 2.410620-6 5.974144+2 2.411334-6 5.781501+2 2.414679-6 4.923758+2 2.416686-6 4.448014+2 2.422753-6 3.205471+2 2.430603-6 2.052798+2 2.433053-6 1.796805+2 2.434857-6 1.638510+2 2.436573-6 1.511221+2 2.438031-6 1.420516+2 2.439347-6 1.352115+2 2.440534-6 1.301191+2 2.441697-6 1.261077+2 2.442458-6 1.240011+2 2.443207-6 1.223254+2 2.443945-6 1.210593+2 2.467183-6 2.874278+2 2.474854-6 4.565475+2 2.478502-6 5.660536+2 2.481296-6 6.647558+2 2.483577-6 7.558159+2 2.486572-6 8.906785+2 2.490151-6 1.076348+3 2.492780-6 1.230697+3 2.494666-6 1.351098+3 2.496551-6 1.479747+3 2.499616-6 1.706548+3 2.502681-6 1.955021+3 2.509194-6 2.550211+3 2.510631-6 2.692444+3 2.514402-6 3.080890+3 2.517299-6 3.390776+3 2.521071-6 3.802305+3 2.524184-6 4.142655+3 2.527201-6 4.467039+3 2.530313-6 4.789806+3 2.533330-6 5.084939+3 2.536012-6 5.327789+3 2.538975-6 5.569770+3 2.539843-6 5.634710+3 2.543435-6 5.871306+3 2.546240-6 6.016764+3 2.549507-6 6.138820+3 2.552163-6 6.198487+3 2.558041-6 6.201044+3 2.559717-6 6.169352+3 2.564363-6 6.010078+3 2.567281-6 5.860084+3 2.570110-6 5.681937+3 2.573222-6 5.453272+3 2.576239-6 5.204257+3 2.578921-6 4.964767+3 2.581507-6 4.721496+3 2.585434-6 4.336830+3 2.588499-6 4.030410+3 2.591947-6 3.686133+3 2.594629-6 3.422658+3 2.600759-6 2.848914+3 2.602866-6 2.664088+3 2.606889-6 2.332590+3 2.612252-6 1.938286+3 2.618706-6 1.539109+3 2.628561-6 1.079385+3 2.634134-6 8.887349+2 2.636903-6 8.095408+2 2.639662-6 7.396644+2 2.642410-6 6.780860+2 2.645148-6 6.238499+2 2.650602-6 5.337956+2 2.656012-6 4.636032+2 2.661381-6 4.083645+2 2.666708-6 3.643030+2 2.671993-6 3.285924+2 2.677237-6 2.991595+2 2.682440-6 2.745012+2 2.687602-6 2.535316+2 2.692724-6 2.354628+2 2.697806-6 2.197167+2 2.707890-6 1.934817+2 2.717817-6 1.725823+2 2.727588-6 1.555451+2 2.737207-6 1.414060+2 2.746676-6 1.295026+2 2.755997-6 1.193616+2 2.765172-6 1.106338+2 2.774203-6 1.030554+2 2.783094-6 9.642217+1 2.791846-6 9.057344+1 2.809075-6 8.067299+1 2.825767-6 7.270282+1 2.841937-6 6.616680+1 2.857601-6 6.072790+1 2.872776-6 5.614535+1 2.887477-6 5.224258+1 2.901718-6 4.888709+1 2.915515-6 4.597563+1 2.942245-6 4.110498+1 2.967305-6 3.727274+1 2.990798-6 3.419587+1 3.012824-6 3.168465+1 3.033472-6 2.960626+1 3.052830-6 2.786385+1 3.089127-6 2.502427+1 3.120886-6 2.290538+1 3.148675-6 2.128644+1 3.172991-6 2.002371+1 3.215544-6 1.808598+1 3.247458-6 1.682046+1 3.295330-6 1.516589+1 3.376117-6 1.285465+1 3.507779-6 9.983956+0 3.606177-6 8.219793+0 3.679976-6 6.964087+0 3.707651-6 6.489257+0 3.731866-6 6.062561+0 3.753054-6 5.675172+0 3.771594-6 5.320795+0 3.787816-6 4.994870+0 3.802011-6 4.694035+0 3.814431-6 4.415808+0 3.825299-6 4.158417+0 3.834808-6 3.920692+0 3.843129-6 3.701933+0 3.857690-6 3.293247+0 3.868610-6 2.966484+0 3.876801-6 2.713715+0 3.882944-6 2.523231+0 3.891006-6 2.278583+0 3.901373-6 1.991044+0 3.903773-6 1.932051+0 3.910975-6 1.781342+0 3.915777-6 1.709435+0 3.918177-6 1.684307+0 3.920578-6 1.667509+0 3.927780-6 1.676301+0 3.930181-6 1.702252+0 3.931381-6 1.720132+0 3.935582-6 1.810827+0 3.937683-6 1.873940+0 3.939784-6 1.949944+0 3.940984-6 1.999471+0 3.945185-6 2.210220+0 3.948336-6 2.409392+0 3.951982-6 2.687831+0 3.955509-6 3.010117+0 3.960691-6 3.585632+0 3.974370-6 5.759963+0 3.983552-6 7.803188+0 3.988755-6 9.175264+0 3.993566-6 1.057719+1 3.998452-6 1.212445+1 4.003245-6 1.375153+1 4.007877-6 1.541143+1 4.012528-6 1.714756+1 4.016804-6 1.878721+1 4.020950-6 2.039808+1 4.024506-6 2.178263+1 4.030387-6 2.404353+1 4.034817-6 2.569197+1 4.039543-6 2.736846+1 4.042867-6 2.848057+1 4.048854-6 3.030947+1 4.051458-6 3.102420+1 4.060581-6 3.307764+1 4.065272-6 3.383298+1 4.069021-6 3.428058+1 4.074062-6 3.465935+1 4.078601-6 3.478247+1 4.082308-6 3.473351+1 4.087172-6 3.447430+1 4.090300-6 3.419740+1 4.093427-6 3.384017+1 4.099506-6 3.293808+1 4.106804-6 3.154974+1 4.109237-6 3.102711+1 4.116535-6 2.932652+1 4.118968-6 2.872638+1 4.128699-6 2.624184+1 4.131716-6 2.546312+1 4.140768-6 2.316920+1 4.158818-6 1.906578+1 4.166353-6 1.761354+1 4.173651-6 1.636587+1 4.180722-6 1.530246+1 4.187572-6 1.439970+1 4.200843-6 1.296264+1 4.213285-6 1.191820+1 4.224949-6 1.113756+1 4.235884-6 1.053417+1 4.256387-6 9.631642+0 4.274328-6 9.002251+0 4.305724-6 8.111045+0 4.352818-6 7.036778+0 4.399931-6 6.071456+0 4.410761-6 5.843945+0 4.421591-6 5.608441+0 4.432421-6 5.362612+0 4.443251-6 5.105470+0 4.454081-6 4.838528+0 4.466600-6 4.525045+0 4.485378-6 4.084515+0 4.492123-6 3.951304+0 4.500498-6 3.818423+0 4.508786-6 3.734611+0 4.511548-6 3.719500+0 4.522599-6 3.735570+0 4.525361-6 3.760788+0 4.533649-6 3.892627+0 4.536411-6 3.956045+0 4.540555-6 4.069853+0 4.544699-6 4.206097+0 4.549879-6 4.407424+0 4.554109-6 4.596436+0 4.559661-6 4.875719+0 4.577850-6 5.981924+0 4.587519-6 6.631546+0 4.588900-6 6.724472+0 4.599950-6 7.444567+0 4.601331-6 7.529804+0 4.611000-6 8.079543+0 4.617216-6 8.378960+0 4.622050-6 8.576917+0 4.628051-6 8.776039+0 4.632951-6 8.898412+0 4.636626-6 8.965909+0 4.642139-6 9.028141+0 4.647651-6 9.044538+0 4.651426-6 9.030377+0 4.655201-6 8.996635+0 4.663489-6 8.859557+0 4.666251-6 8.796483+0 4.677301-6 8.472629+0 4.688352-6 8.063010+0 4.695582-6 7.766261+0 4.706571-6 7.295370+0 4.721897-6 6.641721+0 4.746179-6 5.718248+0 4.757861-6 5.352179+0 4.769543-6 5.049190+0 4.781225-6 4.816793+0 4.792907-6 4.661118+0 4.798748-6 4.613233+0 4.804589-6 4.585408+0 4.810430-6 4.577262+0 4.814811-6 4.583602+0 4.821382-6 4.611890+0 4.827954-6 4.660588+0 4.836715-6 4.751896+0 4.863000-6 5.114656+0 4.874682-6 5.263893+0 4.883755-6 5.353677+0 4.889199-6 5.393144+0 4.895216-6 5.422745+0 4.904241-6 5.438451+0 4.913267-6 5.420635+0 4.921411-6 5.378889+0 4.933093-6 5.285859+0 4.944925-6 5.167213+0 4.971060-6 4.902987+0 4.985077-6 4.795790+0 4.997506-6 4.728867+0 5.009540-6 4.686346+0 5.027591-6 4.649358+0 5.061813-6 4.594023+0 5.086468-6 4.530811+0 5.214172-6 4.125466+0 5.259613-6 3.966980+0 5.361632-6 3.596348+0 5.424482-6 3.392677+0 5.464728-6 3.251125+0 5.485217-6 3.175667+0 5.529829-6 3.005557+0 5.570015-6 2.844636+0 5.610200-6 2.676133+0 5.688982-6 2.326929+0 5.739924-6 2.083516+0 5.788531-6 1.833949+0 5.806784-6 1.735336+0 5.828275-6 1.615524+0 5.860511-6 1.427966+0 5.876629-6 1.330610+0 5.892748-6 1.230931+0 5.907252-6 1.139367+0 5.921756-6 1.046237+0 5.936260-6 9.518607-1 5.950765-6 8.567431-1 5.965269-6 7.616673-1 5.979773-6 6.678585-1 5.994277-6 5.772662-1 6.001529-6 5.340998-1 6.016034-6 4.548899-1 6.023286-6 4.205209-1 6.030538-6 3.911787-1 6.037790-6 3.684372-1 6.045042-6 3.543142-1 6.052294-6 3.513786-1 6.059546-6 3.628725-1 6.063172-6 3.752609-1 6.066798-6 3.928468-1 6.070425-6 4.162870-1 6.076207-6 4.676011-1 6.078583-6 4.943111-1 6.081303-6 5.293642-1 6.084929-6 5.842397-1 6.087648-6 6.320727-1 6.089688-6 6.720207-1 6.094277-6 7.758622-1 6.099206-6 9.113782-1 6.107657-6 1.211658+0 6.119350-6 1.802504+0 6.128215-6 2.420546+0 6.133073-6 2.833734+0 6.139320-6 3.453238+0 6.145495-6 4.174046+0 6.151482-6 4.986535+0 6.158245-6 6.052618+0 6.162791-6 6.864342+0 6.169275-6 8.164138+0 6.173166-6 9.028097+0 6.176955-6 9.932611+0 6.182639-6 1.140949+1 6.189270-6 1.331934+1 6.191046-6 1.386554+1 6.200372-6 1.697364+1 6.206203-6 1.911982+1 6.219584-6 2.459398+1 6.224469-6 2.676346+1 6.234742-6 3.156549+1 6.241957-6 3.508322+1 6.248951-6 3.855600+1 6.255405-6 4.177323+1 6.261661-6 4.486314+1 6.267898-6 4.787591+1 6.274470-6 5.093255+1 6.279739-6 5.326475+1 6.288802-6 5.695598+1 6.296092-6 5.956737+1 6.305199-6 6.229696+1 6.311186-6 6.373205+1 6.314362-6 6.436988+1 6.322143-6 6.555595+1 6.327849-6 6.607747+1 6.330861-6 6.623263+1 6.340842-6 6.615771+1 6.348058-6 6.555489+1 6.355051-6 6.455611+1 6.362748-6 6.302203+1 6.370209-6 6.114593+1 6.376840-6 5.919898+1 6.383234-6 5.711107+1 6.392944-6 5.362896+1 6.400523-6 5.072345+1 6.414022-6 4.533870+1 6.430837-6 3.864344+1 6.438746-6 3.562304+1 6.457497-6 2.904237+1 6.493459-6 1.933454+1 6.501382-6 1.771965+1 6.509305-6 1.627560+1 6.517228-6 1.498933+1 6.525152-6 1.384672+1 6.533075-6 1.283326+1 6.548921-6 1.113695+1 6.564767-6 9.794052+0 6.580614-6 8.714475+0 6.596460-6 7.826962+0 6.608793-6 7.234238+0 6.641326-6 5.944164+0 6.691538-6 4.380012+0 6.723230-6 3.523861+0 6.739077-6 3.121755+0 6.755193-6 2.734697+0 6.779593-6 2.220312+0 6.787727-6 2.080786+0 6.795860-6 1.965476+0 6.803993-6 1.881173+0 6.812127-6 1.836065+0 6.816193-6 1.831171+0 6.820260-6 1.839818+0 6.824327-6 1.863447+0 6.830427-6 1.930360+0 6.833477-6 1.979474+0 6.836527-6 2.039994+0 6.840593-6 2.139737+0 6.843644-6 2.229841+0 6.847647-6 2.369480+0 6.851828-6 2.543118+0 6.856254-6 2.760125+0 6.861106-6 3.040358+0 6.866698-6 3.422466+0 6.874373-6 4.058964+0 6.893718-6 6.313853+0 6.903773-6 7.892369+0 6.911234-6 9.253835+0 6.918567-6 1.075071+1 6.924516-6 1.207864+1 6.931041-6 1.364784+1 6.940895-6 1.622496+1 6.946117-6 1.768110+1 6.953734-6 1.990021+1 6.959747-6 2.171662+1 6.966634-6 2.384737+1 6.972610-6 2.572210+1 6.979389-6 2.785469+1 6.986735-6 3.014431+1 6.991177-6 3.150369+1 7.000266-6 3.418945+1 7.007600-6 3.622582+1 7.011010-6 3.712303+1 7.019260-6 3.913883+1 7.025759-6 4.055219+1 7.042138-6 4.331702+1 7.047576-6 4.395791+1 7.057958-6 4.477504+1 7.066527-6 4.504354+1 7.074832-6 4.495941+1 7.082214-6 4.461177+1 7.086960-6 4.425993+1 7.095924-6 4.334175+1 7.105416-6 4.204625+1 7.108579-6 4.154951+1 7.117016-6 4.008934+1 7.125453-6 3.846521+1 7.129672-6 3.760489+1 7.142327-6 3.489332+1 7.159201-6 3.115452+1 7.176075-6 2.752147+1 7.208366-6 2.154066+1 7.219320-6 1.990139+1 7.225893-6 1.901927+1 7.234656-6 1.795962+1 7.243420-6 1.702828+1 7.252183-6 1.621759+1 7.260946-6 1.551800+1 7.269710-6 1.491861+1 7.278473-6 1.440775+1 7.296000-6 1.360388+1 7.313527-6 1.301424+1 7.331054-6 1.255829+1 7.383634-6 1.145579+1 7.401161-6 1.108715+1 7.436214-6 1.032344+1 7.491800-6 9.170149+0 7.528232-6 8.535518+0 7.564664-6 8.010408+0 7.619312-6 7.385049+0 7.692176-6 6.740975+0 7.776506-6 6.145557+0 7.925597-6 5.261602+0 8.020620-6 4.682073+0 8.064864-6 4.399228+0 8.091778-6 4.244700+0 8.104565-6 4.182579+0 8.124416-6 4.107969+0 8.144266-6 4.067728+0 8.155030-6 4.062957+0 8.165794-6 4.071249+0 8.178630-6 4.098739+0 8.188258-6 4.131849+0 8.202699-6 4.200545+0 8.217140-6 4.289499+0 8.245020-6 4.501597+0 8.264827-6 4.665122+0 8.284633-6 4.819886+0 8.304440-6 4.949964+0 8.323901-6 5.041773+0 8.335577-6 5.076617+0 8.349718-6 5.097346+0 8.363859-6 5.094852+0 8.383666-6 5.055317+0 8.402324-6 4.985441+0 8.422175-6 4.884905+0 8.449402-6 4.719815+0 8.539260-6 4.151849+0 8.607819-6 3.793425+0 8.650194-6 3.611649+0 8.671381-6 3.535948+0 8.692568-6 3.473065+0 8.713755-6 3.424699+0 8.731341-6 3.396135+0 8.748927-6 3.377730+0 8.777316-6 3.366090+0 8.840877-6 3.369919+0 8.865185-6 3.358512+0 8.882400-6 3.340188+0 8.899129-6 3.313002+0 8.918076-6 3.270927+0 8.947717-6 3.184012+0 8.990755-6 3.031120+0 9.034160-6 2.883912+0 9.056862-6 2.824899+0 9.079099-6 2.786175+0 9.101337-6 2.770328+0 9.114184-6 2.772603+0 9.127031-6 2.783494+0 9.142845-6 2.808554+0 9.166566-6 2.868394+0 9.190287-6 2.949845+0 9.234762-6 3.129738+0 9.257000-6 3.214996+0 9.279775-6 3.287302+0 9.291663-6 3.316669+0 9.306478-6 3.343891+0 9.329213-6 3.364062+0 9.346834-6 3.361697+0 9.368188-6 3.339386+0 9.389919-6 3.298001+0 9.412112-6 3.240664+0 9.454391-6 3.105329+0 9.504353-6 2.928846+0 9.586942-6 2.651330+0 9.619002-6 2.559595+0 9.635201-6 2.518841+0 9.657480-6 2.470295+0 9.682569-6 2.427317+0 9.704949-6 2.400018+0 9.735600-6 2.378675+0 9.757702-6 2.372836+0 9.848371-6 2.375316+0 9.874721-6 2.367567+0 9.901071-6 2.351908+0 9.942479-6 2.313133+0 1.003404-5 2.205966+0 1.009444-5 2.147029+0 1.021268-5 2.053477+0 1.032267-5 1.963381+0 1.043486-5 1.865133+0 1.052283-5 1.778996+0 1.065955-5 1.639930+0 1.074668-5 1.563725+0 1.086145-5 1.476713+0 1.119712-5 1.226007+0 1.139049-5 1.085489+0 1.183413-5 7.870776-1 1.215000-5 5.976388-1 1.244515-5 4.388388-1 1.273503-5 3.038989-1 1.300790-5 1.982332-1 1.324325-5 1.259540-1 1.350000-5 6.835749-2 1.366875-5 4.377204-2 1.371118-5 3.952876-2 1.392345-5 2.945431-2 1.400126-5 3.077293-2 1.412244-5 3.909988-2 1.449985-5 1.149529-1 1.470000-5 1.889380-1 1.487133-5 2.732015-1 1.507448-5 3.876827-1 1.520653-5 4.323825-1 1.521395-5 4.332605-1 1.545238-5 3.795754-1 1.565280-5 2.943677-1 1.582894-5 2.255944-1 1.595000-5 1.833894-1 1.605867-5 1.495667-1 1.620000-5 1.118335-1 1.630447-5 8.891032-2 1.640484-5 7.123219-2 1.658049-5 5.118357-2 1.669428-5 4.644136-2 1.671222-5 4.636043-2 1.678804-5 4.816604-2 1.690982-5 5.862345-2 1.710742-5 9.638875-2 1.719164-5 1.212144-1 1.730088-5 1.623727-1 1.740218-5 2.103043-1 1.752850-5 2.842841-1 1.765482-5 3.755537-1 1.778115-5 4.860696-1 1.790747-5 6.177948-1 1.807013-5 8.218029-1 1.820356-5 1.021808+0 1.833699-5 1.255327+0 1.851490-5 1.624568+0 1.869281-5 2.068494+0 1.887072-5 2.600313+0 1.895967-5 2.904168+0 1.914983-5 3.649488+0 1.932810-5 4.482455+0 1.952737-5 5.592592+0 1.979880-5 7.479668+0 2.089296-5 2.272706+1 2.112916-5 2.879686+1 2.133376-5 3.543900+1 2.150086-5 4.207421+1 2.162719-5 4.799243+1 2.172017-5 5.294253+1 2.186116-5 6.158411+1 2.200215-5 7.186641+1 2.211046-5 8.112845+1 2.223145-5 9.319013+1 2.232708-5 1.042627+2 2.243539-5 1.187902+2 2.254861-5 1.367166+2 2.265201-5 1.561016+2 2.276032-5 1.802632+2 2.286863-5 2.094146+2 2.292279-5 2.262941+2 2.297694-5 2.450033+2 2.306492-5 2.800219+2 2.313442-5 3.125947+2 2.319095-5 3.430037+2 2.324747-5 3.776471+2 2.330876-5 4.210009+2 2.336052-5 4.633323+2 2.341705-5 5.169619+2 2.347357-5 5.802640+2 2.353737-5 6.667899+2 2.358663-5 7.479081+2 2.364315-5 8.614107+2 2.369968-5 1.003978+3 2.375620-5 1.186016+3 2.378446-5 1.296097+3 2.381273-5 1.421709+3 2.384099-5 1.565351+3 2.386925-5 1.729855+3 2.389751-5 1.918390+3 2.392578-5 2.134456+3 2.396288-5 2.466401+3 2.400085-5 2.871817+3 2.405984-5 3.658612+3 2.416932-5 5.750962+3 2.422449-5 7.173315+3 2.425779-5 8.161190+3 2.434742-5 1.129132+4 2.435488-5 1.158013+4 2.440706-5 1.370097+4 2.442756-5 1.457272+4 2.447415-5 1.660012+4 2.450676-5 1.802800+4 2.453535-5 1.926110+4 2.456706-5 2.058329+4 2.459134-5 2.154584+4 2.461861-5 2.255748+4 2.464870-5 2.356790+4 2.467066-5 2.422199+4 2.470091-5 2.499086+4 2.473691-5 2.568272+4 2.476763-5 2.606315+4 2.478077-5 2.616377+4 2.481255-5 2.624932+4 2.484226-5 2.612565+4 2.487497-5 2.576519+4 2.490230-5 2.529099+4 2.492822-5 2.470476+4 2.495207-5 2.405703+4 2.498210-5 2.310916+4 2.500736-5 2.221260+4 2.503438-5 2.116974+4 2.505508-5 2.032384+4 2.508465-5 1.906119+4 2.511650-5 1.765518+4 2.515249-5 1.604294+4 2.518231-5 1.471437+4 2.521585-5 1.325234+4 2.524194-5 1.215311+4 2.530158-5 9.813111+3 2.532208-5 9.074187+3 2.534164-5 8.403149+3 2.536167-5 7.752168+3 2.540594-5 6.444074+3 2.544104-5 5.534241+3 2.548792-5 4.488271+3 2.554738-5 3.416522+3 2.565736-5 2.050378+3 2.572020-5 1.540699+3 2.575162-5 1.340400+3 2.578304-5 1.169693+3 2.581446-5 1.024183+3 2.584589-5 9.000176+2 2.587731-5 7.938593+2 2.590873-5 7.028518+2 2.594179-5 6.207918+2 2.597157-5 5.569921+2 2.600583-5 4.935146+2 2.603441-5 4.474322+2 2.609726-5 3.638825+2 2.614756-5 3.110468+2 2.616010-5 2.994854+2 2.622438-5 2.488089+2 2.625435-5 2.295574+2 2.627074-5 2.200904+2 2.633508-5 1.895459+2 2.639943-5 1.685828+2 2.641551-5 1.647006+2 2.646377-5 1.560157+2 2.648979-5 1.530321+2 2.651462-5 1.511788+2 2.653945-5 1.502012+2 2.656837-5 1.500302+2 2.659199-5 1.505477+2 2.662299-5 1.519442+2 2.666284-5 1.545839+2 2.672569-5 1.595341+2 2.678853-5 1.638413+2 2.685024-5 1.660145+2 2.687585-5 1.660899+2 2.690030-5 1.656574+2 2.692475-5 1.647192+2 2.694489-5 1.635681+2 2.696750-5 1.618783+2 2.699672-5 1.591039+2 2.703760-5 1.542190+2 2.707399-5 1.490486+2 2.711295-5 1.428675+2 2.716138-5 1.345970+2 2.719014-5 1.295392+2 2.726695-5 1.161804+2 2.733075-5 1.058630+2 2.741486-5 9.396721+1 2.746570-5 8.779686+1 2.752395-5 8.161103+1 2.760030-5 7.475057+1 2.765465-5 7.060007+1 2.771430-5 6.665564+1 2.776449-5 6.379911+1 2.780302-5 6.188972+1 2.785882-5 5.957214+1 2.791162-5 5.788664+1 2.795220-5 5.694154+1 2.799728-5 5.626028+1 2.803779-5 5.598615+1 2.807532-5 5.602552+1 2.810346-5 5.624784+1 2.812809-5 5.658672+1 2.815623-5 5.715403+1 2.818789-5 5.805501+1 2.822647-5 5.961578+1 2.825540-5 6.121676+1 2.826504-5 6.185211+1 2.830742-5 6.541543+1 2.834876-5 7.051781+1 2.836849-5 7.372675+1 2.841076-5 8.287656+1 2.845282-5 9.612849+1 2.849013-5 1.126446+2 2.853170-5 1.381334+2 2.855170-5 1.537206+2 2.856828-5 1.685770+2 2.858819-5 1.890021+2 2.862169-5 2.307010+2 2.865850-5 2.889967+2 2.873980-5 4.772989+2 2.877881-5 6.040024+2 2.881882-5 7.636606+2 2.885556-5 9.399754+2 2.888630-5 1.111433+3 2.890747-5 1.242952+3 2.892864-5 1.385885+3 2.896415-5 1.652133+3 2.899523-5 1.912801+3 2.899967-5 1.952161+3 2.907069-5 2.652475+3 2.908346-5 2.791814+3 2.914616-5 3.528627+3 2.916905-5 3.816069+3 2.921275-5 4.384363+3 2.924174-5 4.770213+3 2.926422-5 5.071307+3 2.929647-5 5.500932+3 2.933015-5 5.940455+3 2.935897-5 6.303005+3 2.939271-5 6.704507+3 2.942351-5 7.042979+3 2.946247-5 7.423618+3 2.949649-5 7.705224+3 2.952339-5 7.890231+3 2.955744-5 8.072861+3 2.958546-5 8.177740+3 2.960644-5 8.228587+3 2.964147-5 8.260202+3 2.966865-5 8.239045+3 2.972303-5 8.081246+3 2.975596-5 7.915733+3 2.978474-5 7.731969+3 2.981909-5 7.470193+3 2.983970-5 7.293531+3 2.987616-5 6.950541+3 2.991426-5 6.558975+3 2.995856-5 6.074042+3 2.999408-5 5.672296+3 3.003403-5 5.216392+3 3.006511-5 4.864718+3 3.013613-5 4.091790+3 3.016799-5 3.766312+3 3.022881-5 3.192078+3 3.030160-5 2.596048+3 3.042639-5 1.810864+3 3.047318-5 1.587195+3 3.051998-5 1.396842+3 3.057646-5 1.205823+3 3.061362-5 1.100167+3 3.065107-5 1.007494+3 3.072596-5 8.567056+2 3.076855-5 7.876912+2 3.081114-5 7.283844+2 3.088180-5 6.472164+2 3.095626-5 5.796368+2 3.101178-5 5.384070+2 3.105895-5 5.083485+2 3.110612-5 4.821806+2 3.116445-5 4.545128+2 3.125019-5 4.220479+2 3.132566-5 4.005927+2 3.139409-5 3.862653+2 3.145160-5 3.776031+2 3.151156-5 3.714544+2 3.157152-5 3.677920+2 3.165039-5 3.658580+2 3.178828-5 3.666018+2 3.189652-5 3.672090+2 3.197559-5 3.661884+2 3.202529-5 3.646860+2 3.210125-5 3.610773+2 3.216116-5 3.572315+2 3.225287-5 3.500864+2 3.246529-5 3.316171+2 3.265199-5 3.174422+2 3.283639-5 3.065957+2 3.348638-5 2.778646+2 3.381807-5 2.636189+2 3.407013-5 2.539435+2 3.456375-5 2.381260+2 3.509445-5 2.241925+2 3.561328-5 2.126053+2 3.625744-5 2.003490+2 3.694027-5 1.895287+2 3.758374-5 1.806591+2 3.845918-5 1.702969+2 3.950580-5 1.600951+2 4.057749-5 1.513943+2 4.168694-5 1.436474+2 4.307996-5 1.353249+2 4.449843-5 1.283572+2 4.611503-5 1.218150+2 4.766498-5 1.163699+2 4.940263-5 1.110035+2 4.991292-5 1.097297+2 5.076660-5 1.086802+2 5.138052-5 1.077529+2 5.258412-5 1.051770+2 5.497956-5 1.017423+2 5.740000-5 9.937372+1 6.028504-5 9.775075+1 6.405285-5 9.740231+1 6.800918-5 9.894250+1 7.245244-5 1.019354+2 7.697049-5 1.060253+2 8.317638-5 1.127150+2 9.133243-5 1.226029+2 9.659340-5 1.292433+2 1.028692-4 1.361961+2 1.080000-4 1.410625+2 1.098509-4 1.425238+2 1.135011-4 1.447557+2 1.162162-4 1.457783+2 1.180785-4 1.460591+2 1.202600-4 1.459168+2 1.221480-4 1.453595+2 1.237148-4 1.445060+2 1.257405-4 1.427674+2 1.273615-4 1.408586+2 1.287160-4 1.388896+2 1.300000-4 1.366774+2 1.318257-4 1.328979+2 1.328052-4 1.307452+2 1.336115-4 1.294754+2 1.343678-4 1.294838+2 1.346048-4 1.298401+2 1.352358-4 1.317322+2 1.358937-4 1.351238+2 1.365138-4 1.394721+2 1.370982-4 1.444643+2 1.376466-4 1.499273+2 1.381613-4 1.558058+2 1.386443-4 1.620882+2 1.393137-4 1.722768+2 1.397258-4 1.795911+2 1.401187-4 1.874632+2 1.404870-4 1.957838+2 1.408323-4 2.045578+2 1.412538-4 2.167912+2 1.414644-4 2.236390+2 1.417441-4 2.336239+2 1.420996-4 2.480252+2 1.424954-4 2.668361+2 1.429212-4 2.913276+2 1.432955-4 3.177607+2 1.436046-4 3.442951+2 1.437836-4 3.621796+2 1.440622-4 3.946834+2 1.443059-4 4.290074+2 1.445192-4 4.647754+2 1.447058-4 5.014903+2 1.450120-4 5.754843+2 1.452620-4 6.518673+2 1.454495-4 7.208196+2 1.456957-4 8.295586+2 1.458539-4 9.121176+2 1.460121-4 1.005919+3 1.461918-4 1.127532+3 1.465961-4 1.467869+3 1.470903-4 2.026987+3 1.474560-4 2.548983+3 1.476979-4 2.942482+3 1.480597-4 3.590685+3 1.481049-4 3.675700+3 1.484214-4 4.285758+3 1.485657-4 4.567502+3 1.487832-4 4.988271+3 1.489732-4 5.343920+3 1.491215-4 5.608477+3 1.492881-4 5.886866+3 1.494272-4 6.100568+3 1.496060-4 6.345152+3 1.498306-4 6.596082+3 1.499985-4 6.737270+3 1.501433-4 6.824375+3 1.503090-4 6.882497+3 1.504859-4 6.894132+3 1.506274-4 6.865576+3 1.509705-4 6.659647+3 1.510834-4 6.551858+3 1.513295-4 6.255145+3 1.514516-4 6.079822+3 1.515876-4 5.866064+3 1.517623-4 5.567074+3 1.519120-4 5.294335+3 1.520265-4 5.078109+3 1.521903-4 4.762496+3 1.524008-4 4.354374+3 1.526269-4 3.926759+3 1.531549-4 3.051712+3 1.534136-4 2.721799+3 1.535102-4 2.619261+3 1.536064-4 2.529129+3 1.539608-4 2.304047+3 1.540761-4 2.267848+3 1.541881-4 2.249952+3 1.542542-4 2.247245+3 1.543668-4 2.255746+3 1.544551-4 2.273606+3 1.545618-4 2.307831+3 1.546621-4 2.351909+3 1.547903-4 2.424036+3 1.549375-4 2.526530+3 1.551308-4 2.688759+3 1.557496-4 3.337012+3 1.558560-4 3.455597+3 1.561074-4 3.728205+3 1.562978-4 3.920082+3 1.565037-4 4.105503+3 1.566668-4 4.231703+3 1.570388-4 4.437120+3 1.571697-4 4.479257+3 1.574196-4 4.513902+3 1.576043-4 4.501054+3 1.577217-4 4.476424+3 1.578097-4 4.449886+3 1.580078-4 4.366339+3 1.581832-4 4.267135+3 1.583883-4 4.125090+3 1.585113-4 4.028352+3 1.586872-4 3.877821+3 1.588630-4 3.715903+3 1.590852-4 3.500173+3 1.592186-4 3.367248+3 1.595889-4 2.996228+3 1.596801-4 2.906407+3 1.602972-4 2.341985+3 1.607608-4 1.988030+3 1.611383-4 1.750406+3 1.612759-4 1.674893+3 1.614809-4 1.572676+3 1.618360-4 1.422588+3 1.621810-4 1.305271+3 1.625763-4 1.199099+3 1.629172-4 1.126727+3 1.633029-4 1.061289+3 1.637455-4 1.002264+3 1.642722-4 9.478787+2 1.649774-4 8.927686+2 1.659508-4 8.367564+2 1.668330-4 7.982086+2 1.678860-4 7.624592+2 1.689850-4 7.342114+2 1.703926-4 7.082305+2 1.716518-4 6.921060+2 1.729711-4 6.803432+2 1.747500-4 6.700899+2 1.766000-4 6.637336+2 1.792500-4 6.586723+2 1.875973-4 6.489339+2 2.101945-4 6.187422+2 2.174487-4 6.109699+2 2.277719-4 6.022407+2 2.412682-4 5.959765+2 2.559470-4 5.922708+2 2.723482-4 5.865195+2 2.779916-4 5.804655+2 2.812185-4 5.740441+2 2.831047-4 5.716730+2 2.840996-4 5.722785+2 2.851557-4 5.750751+2 2.863968-4 5.814693+2 2.886820-4 5.993158+2 2.900551-4 6.101977+2 2.912427-4 6.177206+2 2.929320-4 6.245565+2 2.959948-4 6.293160+2 3.130465-4 6.466965+2 3.207516-4 6.526006+2 3.237272-4 6.566613+2 3.300906-4 6.711136+2 3.371563-4 6.834404+2 3.584058-4 7.097670+2 3.811406-4 7.306117+2 3.962119-4 7.377917+2 3.993662-4 7.419585+2 4.061134-4 7.582420+2 4.130353-4 7.720240+2 4.322175-4 7.965860+2 4.650504-4 8.283449+2 5.055336-4 8.582037+2 5.500000-4 8.822660+2 5.993491-4 8.998462+2 6.542100-4 9.092079+2 7.074943-4 9.092668+2 7.674562-4 8.993736+2 8.305676-4 8.757140+2 8.709636-4 8.555457+2 9.258967-4 8.195003+2 9.698378-4 7.832155+2 1.008949-3 7.440118+2 1.045622-3 6.998453+2 1.079991-3 6.499428+2 1.103926-3 6.090769+2 1.121875-3 5.744893+2 1.141485-3 5.321105+2 1.157313-3 4.938546+2 1.169942-3 4.599947+2 1.184021-3 4.180517+2 1.194160-3 3.845575+2 1.204347-3 3.474884+2 1.212348-3 3.155462+2 1.219806-3 2.832088+2 1.226485-3 2.522346+2 1.231989-3 2.262683+2 1.236524-3 2.064152+2 1.240261-3 1.931756+2 1.242379-3 1.878449+2 1.245481-3 1.841801+2 1.248025-3 1.859832+2 1.249144-3 1.884442+2 1.251382-3 1.969152+2 1.253408-3 2.091630+2 1.255001-3 2.222119+2 1.256481-3 2.372375+2 1.257536-3 2.497755+2 1.259066-3 2.707601+2 1.259772-3 2.815865+2 1.261370-3 3.088944+2 1.264697-3 3.783805+2 1.268992-3 4.928557+2 1.271370-3 5.669505+2 1.272583-3 6.071379+2 1.274690-3 6.798457+2 1.276487-3 7.437794+2 1.277777-3 7.900474+2 1.279013-3 8.342468+2 1.280733-3 8.946320+2 1.282389-3 9.506268+2 1.283656-3 9.914019+2 1.285361-3 1.042634+3 1.287136-3 1.090712+3 1.288019-3 1.112365+3 1.289897-3 1.153154+3 1.291377-3 1.180063+3 1.293564-3 1.211643+3 1.295697-3 1.233912+3 1.298477-3 1.253258+3 1.303872-3 1.279377+3 1.306336-3 1.296118+3 1.308395-3 1.316221+3 1.311224-3 1.355412+3 1.312801-3 1.383452+3 1.315552-3 1.442157+3 1.323029-3 1.634306+3 1.326106-3 1.706785+3 1.326703-3 1.719215+3 1.330152-3 1.776704+3 1.330933-3 1.785901+3 1.333753-3 1.806242+3 1.335696-3 1.808432+3 1.338123-3 1.798365+3 1.339829-3 1.783682+3 1.342248-3 1.753988+3 1.345366-3 1.704586+3 1.352991-3 1.567524+3 1.357874-3 1.492349+3 1.360371-3 1.461682+3 1.363574-3 1.430628+3 1.368637-3 1.399073+3 1.376425-3 1.381731+3 1.387053-3 1.389743+3 1.400883-3 1.418644+3 1.418630-3 1.463081+3 1.448288-3 1.534239+3 1.476688-3 1.591288+3 1.503355-3 1.630927+3 1.520726-3 1.646963+3 1.541035-3 1.655743+3 1.560479-3 1.656275+3 1.580866-3 1.649065+3 1.596839-3 1.636066+3 1.620231-3 1.603760+3 1.629252-3 1.595445+3 1.635310-3 1.597149+3 1.640931-3 1.606566+3 1.645646-3 1.621041+3 1.653213-3 1.655813+3 1.667620-3 1.740472+3 1.673387-3 1.771322+3 1.678204-3 1.793059+3 1.684251-3 1.814620+3 1.693708-3 1.837373+3 1.702007-3 1.850126+3 1.716827-3 1.865831+3 1.740303-3 1.883231+3 1.758672-3 1.889946+3 1.790683-3 1.887011+3 1.801613-3 1.889352+3 1.810341-3 1.897683+3 1.822059-3 1.919685+3 1.844689-3 1.976037+3 1.852390-3 1.991059+3 1.862087-3 2.004894+3 1.881098-3 2.021051+3 1.910118-3 2.036104+3 1.935291-3 2.044012+3 1.994065-3 2.043662+3 2.007239-3 2.049367+3 2.024952-3 2.067403+3 2.053624-3 2.104392+3 2.078986-3 2.127419+3 2.103296-3 2.142094+3 2.171594-3 2.166665+3 2.261388-3 2.182206+3 2.351328-3 2.187750+3 2.471301-3 2.183354+3 2.649263-3 2.161634+3 2.848968-3 2.123253+3 3.073940-3 2.069567+3 3.271053-3 2.015222+3 3.507519-3 1.947500+3 3.733930-3 1.882820+3 3.873691-3 1.842689+3 4.351829-3 1.703847+3 4.549193-3 1.650373+3 4.954502-3 1.543238+3 5.165650-3 1.489548+3 5.385690-3 1.434536+3 5.639622-3 1.372544+3 5.876678-3 1.315286+3 6.131986-3 1.254397+3 6.343901-3 1.203986+3 6.540638-3 1.156926+3 6.714308-3 1.114462+3 6.870799-3 1.075111+3 7.000000-3 1.041256+3 7.115206-3 1.009123+3 7.218018-3 9.785727+2 7.297962-3 9.530455+2 7.355472-3 9.332419+2 7.422518-3 9.079621+2 7.481689-3 8.826836+2 7.528749-3 8.594007+2 7.566952-3 8.375310+2 7.617927-3 8.037261+2 7.687948-3 7.551607+2 7.714185-3 7.407863+2 7.732360-3 7.334826+2 7.747977-3 7.293490+2 7.771511-3 7.272595+2 7.792821-3 7.297312+2 7.818293-3 7.376285+2 7.847782-3 7.519226+2 7.927600-3 7.994065+2 7.969650-3 8.201869+2 7.998718-3 8.313243+2 8.034671-3 8.416709+2 8.078287-3 8.500668+2 8.126004-3 8.553608+2 8.172289-3 8.575872+2 8.228366-3 8.571529+2 8.281190-3 8.538093+2 8.334296-3 8.474230+2 8.378120-3 8.397351+2 8.491151-3 8.147583+2 8.531649-3 8.089640+2 8.556278-3 8.077264+2 8.598607-3 8.103751+2 8.636186-3 8.173331+2 8.743358-3 8.455751+2 8.800915-3 8.561067+2 8.864939-3 8.615681+2 8.939871-3 8.647734+2 9.001471-3 8.706255+2 9.079646-3 8.853397+2 9.177901-3 9.074318+2 9.261718-3 9.213730+2 9.319632-3 9.278229+2 9.444405-3 9.361242+2 9.613634-3 9.407346+2 9.794593-3 9.410825+2 1.002252-2 9.373943+2 1.027432-2 9.296333+2 1.068502-2 9.113141+2 1.128496-2 8.784625+2 1.195791-2 8.383614+2 1.274934-2 7.901733+2 1.369156-2 7.348278+2 1.506973-2 6.616202+2 1.681931-2 5.819926+2 1.899984-2 5.009445+2 2.131548-2 4.322092+2 2.362127-2 3.763407+2 2.530026-2 3.416378+2 2.746313-2 3.026674+2 2.984040-2 2.663956+2 3.498711-2 2.068204+2 3.796659-2 1.806919+2 4.097765-2 1.582437+2 4.390217-2 1.394449+2 4.622557-2 1.262468+2 4.806148-2 1.165733+2 4.948360-2 1.092523+2 5.055104-2 1.036205+2 5.132555-2 9.924167+1 5.163600-2 9.733520+1 5.192804-2 9.540043+1 5.218513-2 9.352895+1 5.257864-2 9.024178+1 5.332780-2 8.326240+1 5.356508-2 8.169492+1 5.374615-2 8.102010+1 5.391531-2 8.085648+1 5.409430-2 8.115592+1 5.427443-2 8.186111+1 5.503795-2 8.624438+1 5.529200-2 8.734137+1 5.552262-2 8.806730+1 5.588779-2 8.879137+1 5.648165-2 8.925895+1 5.718765-2 8.919447+1 5.812192-2 8.856579+1 5.967169-2 8.687682+1 6.148982-2 8.436381+1 6.422058-2 8.017717+1 6.780317-2 7.460112+1 7.244360-2 6.782902+1 7.865349-2 5.976246+1 8.655506-2 5.111645+1 9.791817-2 4.148691+1 1.112113-1 3.322667+1 1.291105-1 2.539552+1 1.857340-1 1.304125+1 2.212098-1 9.421402+0 2.687664-1 6.512886+0 3.510043-1 3.895633+0 5.084521-1 1.893539+0 7.914399-1 7.938022-1 1.347258+0 2.768115-1 2.947480+0 5.815350-2 8.901248+0 6.384395-3 2.688134+1 7.001329-4 8.118035+1 7.676922-5 2.451607+2 8.417592-6 7.403736+2 9.229707-7 2.511886+3 8.018437-8 7.943282+3 8.018437-9 2.511886+4 8.01844-10 7.943282+4 8.01844-11 1.000000+5 5.05929-11 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.217400-6 1.258900-6 3.514300-6 1.584900-6 5.569800-6 1.995300-6 8.827600-6 2.511900-6 1.399100-5 3.162300-6 2.217400-5 3.981100-6 3.514300-5 5.011900-6 5.569700-5 6.309600-6 8.827400-5 7.943300-6 1.399000-4 1.000000-5 2.217300-4 1.258900-5 3.514100-4 1.584900-5 5.566600-4 1.995300-5 8.816600-4 2.511900-5 1.396600-3 3.162300-5 2.212500-3 3.981100-5 3.505500-3 5.011900-5 5.554500-3 6.309600-5 8.801500-3 7.943300-5 1.393100-2 1.000000-4 2.204100-2 1.258900-4 3.482300-2 1.584900-4 5.488800-2 1.995300-4 8.636000-2 2.511900-4 1.352500-1 3.162300-4 2.104400-1 3.981100-4 3.237700-1 5.011900-4 4.890400-1 6.309600-4 7.207900-1 7.943300-4 1.030100+0 1.000000-3 1.423200+0 1.258900-3 1.904900+0 1.584900-3 2.497300+0 1.995300-3 3.241800+0 2.511900-3 4.178000+0 3.162300-3 5.325600+0 3.981100-3 6.692700+0 5.011900-3 8.281900+0 6.309600-3 1.007000+1 7.943300-3 1.201100+1 1.000000-2 1.410600+1 1.258900-2 1.634000+1 1.584900-2 1.873300+1 1.995300-2 2.112300+1 2.511900-2 2.334600+1 3.162300-2 2.525400+1 3.981100-2 2.677400+1 5.011900-2 2.787300+1 6.309600-2 2.853000+1 7.943300-2 2.872100+1 1.000000-1 2.843600+1 1.258900-1 2.768700+1 1.584900-1 2.664100+1 1.995300-1 2.530400+1 2.511900-1 2.378000+1 3.162300-1 2.213900+1 3.981100-1 2.043800+1 5.011900-1 1.872800+1 6.309600-1 1.704500+1 7.943300-1 1.540900+1 1.000000+0 1.383600+1 1.258900+0 1.235500+1 1.584900+0 1.095300+1 1.995300+0 9.647800+0 2.511900+0 8.443100+0 3.162300+0 7.342800+0 3.981100+0 6.347900+0 5.011900+0 5.457000+0 6.309600+0 4.666500+0 7.943300+0 3.971300+0 1.000000+1 3.364700+0 1.258900+1 2.839300+0 1.584900+1 2.387100+0 1.995300+1 2.000300+0 2.511900+1 1.671100+0 3.162300+1 1.392300+0 3.981100+1 1.157200+0 5.011900+1 9.596800-1 6.309600+1 7.942700-1 7.943300+1 6.561800-1 1.000000+2 5.411900-1 1.258900+2 4.456800-1 1.584900+2 3.665200-1 1.995300+2 3.010400-1 2.511900+2 2.469600-1 3.162300+2 2.023800-1 3.981100+2 1.656800-1 5.011900+2 1.355100-1 6.309600+2 1.107300-1 7.943300+2 9.041500-2 1.000000+3 7.376800-2 1.258900+3 6.014200-2 1.584900+3 4.900000-2 1.995300+3 3.989600-2 2.511900+3 3.246400-2 3.162300+3 2.640100-2 3.981100+3 2.145900-2 5.011900+3 1.743300-2 6.309600+3 1.415500-2 7.943300+3 1.148800-2 1.000000+4 9.318800-3 1.258900+4 7.556200-3 1.584900+4 6.124400-3 1.995300+4 4.961900-3 2.511900+4 4.018500-3 3.162300+4 3.253300-3 3.981100+4 2.632800-3 5.011900+4 2.130000-3 6.309600+4 1.722600-3 7.943300+4 1.392600-3 1.000000+5 1.125600-3 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159551-4 3.981072-4 3.976778-4 5.011872-4 5.005113-4 6.309573-4 6.298964-4 7.943282-4 7.926684-4 1.000000-3 9.974079-4 1.258925-3 1.254892-3 1.584893-3 1.578586-3 1.995262-3 1.985364-3 2.511886-3 2.496315-3 3.162278-3 3.137866-3 3.981072-3 3.942792-3 5.011872-3 4.951884-3 6.309573-3 6.216136-3 7.943282-3 7.797897-3 1.000000-2 9.773990-3 1.258925-2 1.223756-2 1.584893-2 1.530404-2 1.995262-2 1.911064-2 2.511886-2 2.382634-2 3.162278-2 2.965207-2 3.981072-2 3.682415-2 5.011872-2 4.562007-2 6.309573-2 5.635350-2 7.943282-2 6.940763-2 1.000000-1 8.522293-2 1.258925-1 1.043727-1 1.584893-1 1.272717-1 1.995262-1 1.547527-1 2.511886-1 1.875553-1 3.162278-1 2.265603-1 3.981072-1 2.727925-1 5.011872-1 3.274540-1 6.309573-1 3.919194-1 7.943282-1 4.679643-1 1.000000+0 5.574559-1 1.258925+0 6.625891-1 1.584893+0 7.869384-1 1.995262+0 9.340262-1 2.511886+0 1.108601+0 3.162278+0 1.316296+0 3.981072+0 1.564262+0 5.011872+0 1.861151+0 6.309573+0 2.217250+0 7.943282+0 2.645832+0 1.000000+1 3.162432+0 1.258925+1 3.786501+0 1.584893+1 4.541645+0 1.995262+1 5.456894+0 2.511886+1 6.567530+0 3.162278+1 7.917584+0 3.981072+1 9.560263+0 5.011872+1 1.156099+1 6.309573+1 1.400058+1 7.943282+1 1.697822+1 1.000000+2 2.061564+1 1.258925+2 2.506286+1 1.584893+2 3.050442+1 1.995262+2 3.716802+1 2.511886+2 4.533304+1 3.162278+2 5.534560+1 3.981072+2 6.763005+1 5.011872+2 8.271328+1 6.309573+2 1.012429+2 7.943282+2 1.240184+2 1.000000+3 1.520271+2 1.258925+3 1.864915+2 1.584893+3 2.289175+2 1.995262+3 2.811768+2 2.511886+3 3.455558+2 3.162278+3 4.249371+2 3.981072+3 5.228210+2 5.011872+3 6.435821+2 6.309573+3 7.926433+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88193-10 1.995262-5 1.090618-9 2.511886-5 1.728486-9 3.162278-5 2.739500-9 3.981072-5 4.341869-9 5.011872-5 6.881388-9 6.309573-5 1.090599-8 7.943282-5 1.727904-8 1.000000-4 2.737732-8 1.258925-4 4.336887-8 1.584893-4 6.867524-8 1.995262-4 1.087406-7 2.511886-4 1.720733-7 3.162278-4 2.726943-7 3.981072-4 4.293443-7 5.011872-4 6.759288-7 6.309573-4 1.060946-6 7.943282-4 1.659801-6 1.000000-3 2.592146-6 1.258925-3 4.033199-6 1.584893-3 6.307336-6 1.995262-3 9.898309-6 2.511886-3 1.557096-5 3.162278-3 2.441168-5 3.981072-3 3.827991-5 5.011872-3 5.998882-5 6.309573-3 9.343712-5 7.943282-3 1.453852-4 1.000000-2 2.260104-4 1.258925-2 3.516908-4 1.584893-2 5.448911-4 1.995262-2 8.419825-4 2.511886-2 1.292519-3 3.162278-2 1.970711-3 3.981072-2 2.986563-3 5.011872-2 4.498654-3 6.309573-2 6.742238-3 7.943282-2 1.002520-2 1.000000-1 1.477707-2 1.258925-1 2.151982-2 1.584893-1 3.121762-2 1.995262-1 4.477357-2 2.511886-1 6.363338-2 3.162278-1 8.966748-2 3.981072-1 1.253147-1 5.011872-1 1.737332-1 6.309573-1 2.390379-1 7.943282-1 3.263639-1 1.000000+0 4.425441-1 1.258925+0 5.963363-1 1.584893+0 7.979548-1 1.995262+0 1.061236+0 2.511886+0 1.403285+0 3.162278+0 1.845982+0 3.981072+0 2.416809+0 5.011872+0 3.150721+0 6.309573+0 4.092324+0 7.943282+0 5.297450+0 1.000000+1 6.837568+0 1.258925+1 8.802753+0 1.584893+1 1.130729+1 1.995262+1 1.449573+1 2.511886+1 1.855133+1 3.162278+1 2.370519+1 3.981072+1 3.025045+1 5.011872+1 3.855773+1 6.309573+1 4.909515+1 7.943282+1 6.245460+1 1.000000+2 7.938436+1 1.258925+2 1.008297+2 1.584893+2 1.279849+2 1.995262+2 1.623582+2 2.511886+2 2.058556+2 3.162278+2 2.608822+2 3.981072+2 3.304771+2 5.011872+2 4.184740+2 6.309573+2 5.297144+2 7.943282+2 6.703099+2 1.000000+3 8.479729+2 1.258925+3 1.072434+3 1.584893+3 1.355976+3 1.995262+3 1.714086+3 2.511886+3 2.166331+3 3.162278+3 2.737341+3 3.981072+3 3.458251+3 5.011872+3 4.368290+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.350000-6 4.068140+6 5.500000-6 3.625120+6 6.000000-6 2.485360+6 6.531306-6 1.708049+6 7.079458-6 1.188440+6 7.700000-6 8.083340+5 8.317638-6 5.635783+5 9.015711-6 3.839680+5 9.660000-6 2.747525+5 9.660000-6 1.015222+6 9.800000-6 9.776833+5 9.885531-6 9.571497+5 1.020000-5 8.874291+5 1.060000-5 8.153872+5 1.062000-5 8.122823+5 1.062000-5 1.321600+6 1.096478-5 1.246602+6 1.100000-5 1.239615+6 1.135011-5 1.177582+6 1.174898-5 1.120387+6 1.180000-5 1.113583+6 1.221400-5 1.068298+6 1.230269-5 1.059946+6 1.244515-5 1.047793+6 1.258925-5 1.036068+6 1.273503-5 1.025713+6 1.290000-5 1.015419+6 1.303167-5 1.007601+6 1.320000-5 9.992527+5 1.333521-5 9.935589+5 1.350000-5 9.870121+5 1.370000-5 9.809062+5 1.382700-5 9.778874+5 1.400000-5 9.740805+5 1.420000-5 9.712645+5 1.445440-5 9.694815+5 1.462177-5 9.695291+5 1.470000-5 9.696369+5 1.500000-5 9.715784+5 1.515000-5 9.736317+5 1.531087-5 9.765973+5 1.550000-5 9.802314+5 1.570000-5 9.852720+5 1.610000-5 9.975421+5 1.630000-5 1.005022+6 1.650000-5 1.013407+6 1.678804-5 1.025647+6 1.690000-5 1.031082+6 1.730000-5 1.052431+6 1.757924-5 1.067480+6 1.770000-5 1.075176+6 1.815000-5 1.104122+6 1.830000-5 1.113855+6 1.840772-5 1.121277+6 1.862087-5 1.137059+6 1.905461-5 1.169475+6 1.927525-5 1.186958+6 1.950000-5 1.205925+6 1.995262-5 1.244504+6 2.000000-5 1.248734+6 2.041738-5 1.286293+6 2.070000-5 1.313187+6 2.089296-5 1.331705+6 2.150000-5 1.392527+6 2.162719-5 1.405420+6 2.190000-5 1.434305+6 2.238721-5 1.487863+6 2.317395-5 1.576145+6 2.344229-5 1.607535+6 2.371374-5 1.640367+6 2.511886-5 1.815047+6 2.800000-5 2.203297+6 2.809000-5 2.215959+6 2.809000-5 2.122768+7 2.851018-5 1.977878+7 2.917427-5 1.788474+7 2.920000-5 1.781689+7 2.990000-5 1.621643+7 3.019952-5 1.563134+7 3.054921-5 1.499217+7 3.090295-5 1.442176+7 3.162278-5 1.337398+7 3.235937-5 1.248360+7 3.273407-5 1.207545+7 3.306000-5 1.175692+7 3.306000-5 2.023688+7 3.349654-5 1.929237+7 3.370000-5 1.887633+7 3.388442-5 1.852146+7 3.427678-5 1.780140+7 3.467369-5 1.715335+7 3.520000-5 1.635779+7 3.589219-5 1.544319+7 3.630781-5 1.493951+7 3.672823-5 1.447349+7 3.758374-5 1.362460+7 3.801894-5 1.324333+7 3.845918-5 1.288061+7 3.900000-5 1.246339+7 3.935501-5 1.220721+7 4.027170-5 1.161496+7 4.073803-5 1.134100+7 4.168694-5 1.083247+7 4.265795-5 1.037991+7 4.300000-5 1.023678+7 4.365158-5 9.980385+6 4.466836-5 9.619950+6 4.570882-5 9.302275+6 4.677351-5 9.019795+6 4.786301-5 8.767232+6 4.841724-5 8.653572+6 4.900000-5 8.545715+6 4.954502-5 8.451038+6 5.011872-5 8.358873+6 5.128614-5 8.189387+6 5.248075-5 8.045539+6 5.367000-5 7.926883+6 5.367000-5 7.978227+6 5.432503-5 7.922183+6 5.500000-5 7.867497+6 5.530000-5 7.845187+6 5.623413-5 7.783429+6 5.688529-5 7.748214+6 5.740000-5 7.721564+6 5.821032-5 7.685276+6 5.850000-5 7.672359+6 5.900000-5 7.651963+6 5.956621-5 7.631460+6 6.000000-5 7.618351+6 6.025596-5 7.611348+6 6.095369-5 7.595219+6 6.165950-5 7.579278+6 6.237348-5 7.566509+6 6.309573-5 7.552559+6 6.382635-5 7.542538+6 6.400000-5 7.540551+6 6.531306-5 7.530287+6 6.606934-5 7.524761+6 6.650000-5 7.522954+6 6.918310-5 7.513205+6 7.000000-5 7.511019+6 7.079458-5 7.511444+6 7.161434-5 7.508826+6 7.328245-5 7.508946+6 7.500000-5 7.508443+6 7.673615-5 7.502527+6 7.762471-5 7.501828+6 7.800000-5 7.501989+6 7.943282-5 7.497991+6 8.000000-5 7.494030+6 8.035261-5 7.491686+6 8.300000-5 7.479985+6 8.317638-5 7.478679+6 8.400000-5 7.473048+6 8.511380-5 7.466932+6 8.650000-5 7.453374+6 8.709636-5 7.447848+6 8.810489-5 7.439497+6 8.912509-5 7.431933+6 9.015711-5 7.421597+6 9.120108-5 7.412020+6 9.332543-5 7.385766+6 9.400000-5 7.378033+6 9.440609-5 7.373410+6 9.549926-5 7.361797+6 9.800000-5 7.329150+6 9.900000-5 7.316792+6 1.023293-4 7.266193+6 1.040000-4 7.242244+6 1.047129-4 7.232495+6 1.071519-4 7.194020+6 1.080000-4 7.181168+6 1.096478-4 7.151869+6 1.122018-4 7.108588+6 1.135011-4 7.084273+6 1.150000-4 7.056659+6 1.161449-4 7.032114+6 1.174898-4 7.004028+6 1.202600-4 6.948060+6 1.216186-4 6.921239+6 1.230269-4 6.890173+6 1.244515-4 6.859650+6 1.288250-4 6.756255+6 1.288400-4 6.755908+6 1.300000-4 6.729415+6 1.318257-4 6.684654+6 1.350000-4 6.600646+6 1.380384-4 6.523337+6 1.396368-4 6.483640+6 1.412538-4 6.440538+6 1.428894-4 6.397842+6 1.480000-4 6.255565+6 1.513561-4 6.166482+6 1.548817-4 6.070742+6 1.580000-4 5.983410+6 1.584893-4 5.970003+6 1.602400-4 5.922528+6 1.602400-4 6.374922+6 1.609000-4 6.378586+6 1.620000-4 6.390358+6 1.621810-4 6.392387+6 1.640590-4 6.419485+6 1.650000-4 6.434661+6 1.650900-4 6.436094+6 1.661000-4 6.450127+6 1.669000-4 6.459811+6 1.670700-4 6.461248+6 1.670700-4 6.775302+6 1.675000-4 6.785351+6 1.678804-4 6.795618+6 1.682000-4 6.802810+6 1.687000-4 6.815626+6 1.690000-4 6.822042+6 1.695000-4 6.834119+6 1.704200-4 6.852577+6 1.711000-4 6.863707+6 1.719000-4 6.874080+6 1.720000-4 6.874869+6 1.722000-4 6.876507+6 1.730000-4 6.882292+6 1.733000-4 6.882917+6 1.737801-4 6.882935+6 1.740000-4 6.882732+6 1.744000-4 6.880482+6 1.750000-4 6.875857+6 1.751000-4 6.874659+6 1.761000-4 6.860079+6 1.762000-4 6.858240+6 1.770000-4 6.840896+6 1.773400-4 6.832580+6 1.778279-4 6.819018+6 1.785000-4 6.796898+6 1.788000-4 6.786179+6 1.798871-4 6.743574+6 1.800000-4 6.738750+6 1.810000-4 6.693389+6 1.820000-4 6.645497+6 1.831500-4 6.585177+6 1.842000-4 6.528152+6 1.846000-4 6.506024+6 1.862087-4 6.414484+6 1.865000-4 6.397222+6 1.880000-4 6.307979+6 1.900000-4 6.190328+6 1.905461-4 6.157787+6 1.922000-4 6.059595+6 1.940000-4 5.955276+6 1.950000-4 5.898791+6 1.980000-4 5.735201+6 2.018366-4 5.535974+6 2.020000-4 5.527668+6 2.041738-4 5.419312+6 2.065380-4 5.308759+6 2.080000-4 5.243200+6 2.113489-4 5.102589+6 2.120000-4 5.076797+6 2.137962-4 5.007816+6 2.142000-4 4.992199+6 2.162719-4 4.915192+6 2.170000-4 4.888132+6 2.190000-4 4.816604+6 2.213095-4 4.738777+6 2.220000-4 4.716442+6 2.240000-4 4.653766+6 2.250000-4 4.623662+6 2.264644-4 4.580785+6 2.270000-4 4.565607+6 2.290868-4 4.508131+6 2.300000-4 4.483311+6 2.317395-4 4.437389+6 2.323000-4 4.422603+6 2.344229-4 4.368141+6 2.350000-4 4.353826+6 2.371374-4 4.302261+6 2.373000-4 4.298454+6 2.400000-4 4.237022+6 2.426610-4 4.180048+6 2.430000-4 4.172665+6 2.454709-4 4.121316+6 2.465000-4 4.099777+6 2.490000-4 4.049264+6 2.500000-4 4.029720+6 2.520000-4 3.991829+6 2.540973-4 3.953455+6 2.550000-4 3.937434+6 2.580000-4 3.885945+6 2.600160-4 3.852704+6 2.620000-4 3.819990+6 2.630268-4 3.803559+6 2.660725-4 3.753466+6 2.670000-4 3.738585+6 2.730000-4 3.647329+6 2.754229-4 3.612732+6 2.800000-4 3.548307+6 2.820000-4 3.521323+6 2.851018-4 3.478799+6 2.884032-4 3.434880+6 2.915600-4 3.394604+6 2.915600-4 3.688080+6 2.917427-4 3.685712+6 2.951209-4 3.641403+6 3.000000-4 3.579689+6 3.054921-4 3.511533+6 3.100000-4 3.457938+6 3.126079-4 3.427963+6 3.150000-4 3.400474+6 3.198895-4 3.345552+6 3.200000-4 3.344302+6 3.240000-4 3.299566+6 3.273407-4 3.262925+6 3.293800-4 3.241211+6 3.293800-4 3.316935+6 3.311311-4 3.298622+6 3.349654-4 3.259121+6 3.350000-4 3.258761+6 3.427678-4 3.179251+6 3.470000-4 3.136513+6 3.507519-4 3.099200+6 3.550000-4 3.058617+6 3.589219-4 3.022065+6 3.600000-4 3.011999+6 3.672823-4 2.945102+6 3.715352-4 2.906390+6 3.758374-4 2.867904+6 3.801894-4 2.830429+6 3.845918-4 2.793421+6 3.850000-4 2.789984+6 3.935501-4 2.718999+6 4.000000-4 2.666238+6 4.042000-4 2.632508+6 4.042000-4 2.726705+6 4.073803-4 2.701502+6 4.120975-4 2.664726+6 4.122800-4 2.663331+6 4.168694-4 2.627977+6 4.216965-4 2.591176+6 4.350000-4 2.492829+6 4.365158-4 2.481962+6 4.415704-4 2.446022+6 4.466836-4 2.410395+6 4.518559-4 2.375403+6 4.550000-4 2.354334+6 4.623810-4 2.304757+6 4.700000-4 2.255992+6 4.731513-4 2.236376+6 4.764600-4 2.215909+6 4.786301-4 2.202521+6 4.841724-4 2.168398+6 5.000000-4 2.075776+6 5.011872-4 2.069086+6 5.069907-4 2.036255+6 5.128614-4 2.003979+6 5.188000-4 1.972042+6 5.248075-4 1.940378+6 5.432503-4 1.846650+6 5.500000-4 1.814517+6 5.559043-4 1.786210+6 5.623413-4 1.756037+6 5.754399-4 1.696999+6 5.821032-4 1.668484+6 5.956621-4 1.611091+6 6.025596-4 1.583194+6 6.095369-4 1.555683+6 6.165950-4 1.528509+6 6.200000-4 1.515305+6 6.237348-4 1.501062+6 6.500000-4 1.407474+6 6.531306-4 1.397052+6 6.606934-4 1.371364+6 6.700000-4 1.340681+6 6.918310-4 1.273349+6 7.079458-4 1.226253+6 7.161434-4 1.203363+6 7.244360-4 1.180663+6 7.328245-4 1.158425+6 7.413102-4 1.136250+6 7.500000-4 1.114050+6 7.673615-4 1.071905+6 7.852356-4 1.031191+6 7.943282-4 1.010905+6 8.035261-4 9.907843+5 8.413951-4 9.148237+5 8.511380-4 8.965404+5 8.609938-4 8.784840+5 8.709636-4 8.606912+5 9.015711-4 8.094691+5 9.120108-4 7.928809+5 9.225714-4 7.765095+5 9.440609-4 7.447826+5 9.500000-4 7.363582+5 9.549926-4 7.293812+5 9.700000-4 7.089465+5 9.772372-4 6.992980+5 9.885531-4 6.844893+5 1.011579-3 6.558509+5 1.023293-3 6.419912+5 1.035142-3 6.284554+5 1.047129-3 6.151459+5 1.070000-3 5.904320+5 1.071519-3 5.888390+5 1.122018-3 5.396110+5 1.135011-3 5.277758+5 1.161449-3 5.046762+5 1.190000-3 4.815042+5 1.216186-3 4.616093+5 1.230269-3 4.513139+5 1.244515-3 4.411446+5 1.258925-3 4.312031+5 1.270000-3 4.237815+5 1.273503-3 4.214714+5 1.299500-3 4.049221+5 1.299500-3 1.362771+6 1.303167-3 1.355760+6 1.318257-3 1.327497+6 1.333521-3 1.299723+6 1.336600-3 1.294205+6 1.336600-3 1.703913+6 1.364583-3 1.685883+6 1.380384-3 1.677628+6 1.381500-3 1.677094+6 1.383000-3 1.674949+6 1.410000-3 1.658685+6 1.435000-3 1.621430+6 1.445440-3 1.605571+6 1.450000-3 1.598974+6 1.462177-3 1.576128+6 1.479108-3 1.543624+6 1.480300-3 1.541380+6 1.496236-3 1.507999+6 1.513561-3 1.466318+6 1.531087-3 1.425791+6 1.548817-3 1.386370+6 1.566751-3 1.348239+6 1.570000-3 1.341491+6 1.584893-3 1.311116+6 1.640590-3 1.205683+6 1.662100-3 1.168188+6 1.662100-3 1.344944+6 1.678804-3 1.314682+6 1.698244-3 1.280663+6 1.717908-3 1.247539+6 1.737801-3 1.215196+6 1.760000-3 1.180112+6 1.800000-3 1.120936+6 1.819701-3 1.092827+6 1.830900-3 1.077307+6 1.830900-3 1.142328+6 1.862087-3 1.099577+6 1.883649-3 1.071401+6 1.900000-3 1.050747+6 1.905461-3 1.043967+6 1.950000-3 9.903573+5 1.972423-3 9.647042+5 2.018200-3 9.149219+5 2.018200-3 9.551090+5 2.070000-3 9.020963+5 2.089296-3 8.831800+5 2.113489-3 8.602675+5 2.137962-3 8.378759+5 2.162719-3 8.160101+5 2.187762-3 7.945806+5 2.238721-3 7.534964+5 2.264644-3 7.337502+5 2.290868-3 7.143580+5 2.300000-3 7.077779+5 2.344229-3 6.769996+5 2.371374-3 6.590863+5 2.398833-3 6.415445+5 2.400000-3 6.408144+5 2.426610-3 6.244426+5 2.454709-3 6.078222+5 2.469600-3 5.992799+5 2.483133-3 5.916537+5 2.511886-3 5.758233+5 2.540973-3 5.604182+5 2.630268-3 5.164241+5 2.660725-3 5.025837+5 2.722701-3 4.758624+5 2.754229-3 4.630515+5 2.786121-3 4.503842+5 2.818383-3 4.380828+5 2.851018-3 4.261254+5 2.884032-3 4.144963+5 2.951209-3 3.919871+5 2.985383-3 3.812213+5 3.000000-3 3.767183+5 3.019952-3 3.706935+5 3.090295-3 3.504098+5 3.126079-3 3.407008+5 3.162278-3 3.312422+5 3.198895-3 3.220512+5 3.235937-3 3.131172+5 3.311311-3 2.960213+5 3.349654-3 2.878458+5 3.400000-3 2.775326+5 3.467369-3 2.645532+5 3.507519-3 2.571532+5 3.548134-3 2.499636+5 3.589219-3 2.429356+5 3.672823-3 2.294808+5 3.715352-3 2.230160+5 3.758374-3 2.167432+5 3.845918-3 2.047355+5 3.890451-3 1.989271+5 4.000000-3 1.855637+5 4.027170-3 1.824452+5 4.073803-3 1.772617+5 4.120975-3 1.722330+5 4.216965-3 1.626209+5 4.265795-3 1.580112+5 4.300000-3 1.548944+5 4.315191-3 1.535329+5 4.365158-3 1.491490+5 4.415704-3 1.448946+5 4.466836-3 1.407473+5 4.518559-3 1.367222+5 4.570882-3 1.328044+5 4.623810-3 1.289999+5 4.677351-3 1.253095+5 4.731513-3 1.217288+5 4.786301-3 1.182436+5 4.841724-3 1.148634+5 4.954502-3 1.083090+5 5.011872-3 1.051765+5 5.069907-3 1.021363+5 5.188000-3 9.632203+4 5.248075-3 9.354637+4 5.300000-3 9.123604+4 5.308844-3 9.084927+4 5.370318-3 8.822511+4 5.432503-3 8.568039+4 5.500000-3 8.301343+4 5.559043-3 8.076548+4 5.623413-3 7.841191+4 5.688529-3 7.612688+4 5.821032-3 7.176275+4 5.888437-3 6.968010+4 6.000000-3 6.641126+4 6.025596-3 6.569235+4 6.095369-3 6.378030+4 6.165950-3 6.191400+4 6.237348-3 6.009287+4 6.309573-3 5.832682+4 6.382635-3 5.661383+4 6.531306-3 5.334210+4 6.606934-3 5.178130+4 6.683439-3 5.026227+4 6.839116-3 4.736264+4 6.918310-3 4.597265+4 7.000000-3 4.459458+4 7.161434-3 4.201461+4 7.328245-3 3.956723+4 7.585776-3 3.617002+4 7.673615-3 3.510264+4 7.762471-3 3.406691+4 7.781000-3 3.385640+4 7.781000-3 9.264817+4 7.800000-3 9.209314+4 7.852356-3 9.058292+4 7.943282-3 8.803918+4 8.070500-3 8.464511+4 8.222426-3 8.056917+4 8.317638-3 7.815271+4 8.413951-3 7.580931+4 8.511380-3 7.353440+4 8.590700-3 7.171598+4 8.590700-3 9.843575+4 8.609938-3 9.786463+4 8.670000-3 9.611111+4 8.709636-3 9.501115+4 8.746820-3 9.399542+4 8.810489-3 9.229113+4 8.912509-3 8.951646+4 9.000000-3 8.722848+4 9.012500-3 8.690809+4 9.012500-3 1.005043+5 9.160000-3 9.636855+4 9.332543-3 9.197092+4 9.350000-3 9.154182+4 9.400000-3 9.031635+4 9.549926-3 8.674159+4 9.660509-3 8.425285+4 9.885531-3 7.949429+4 9.900000-3 7.920138+4 1.000000-2 7.719943+4 1.011579-2 7.494086+4 1.059254-2 6.654503+4 1.083927-2 6.271584+4 1.109175-2 5.909121+4 1.122018-2 5.735910+4 1.135011-2 5.566372+4 1.150000-2 5.379238+4 1.161449-2 5.242201+4 1.174898-2 5.087385+4 1.202264-2 4.789373+4 1.216186-2 4.646303+4 1.258925-2 4.242597+4 1.273503-2 4.116171+4 1.288250-2 3.992979+4 1.318257-2 3.757827+4 1.333521-2 3.645508+4 1.348963-2 3.537081+4 1.364583-2 3.431978+4 1.380384-2 3.330073+4 1.396368-2 3.231198+4 1.420000-2 3.092433+4 1.428894-2 3.041918+4 1.445440-2 2.950766+4 1.462177-2 2.862392+4 1.479108-2 2.775821+4 1.513561-2 2.610646+4 1.531087-2 2.531879+4 1.548817-2 2.455498+4 1.580000-2 2.328789+4 1.584893-2 2.309712+4 1.621810-2 2.171888+4 1.640590-2 2.106166+4 1.659587-2 2.042473+4 1.678804-2 1.980301+4 1.757924-2 1.750125+4 1.778279-2 1.697001+4 1.800000-2 1.642749+4 1.819701-2 1.595591+4 1.840772-2 1.546867+4 1.862087-2 1.499665+4 1.883649-2 1.453896+4 1.927525-2 1.366587+4 1.972423-2 1.283902+4 2.000000-2 1.236547+4 2.018366-2 1.206347+4 2.041738-2 1.169275+4 2.065380-2 1.133334+4 2.080000-2 1.111870+4 2.089296-2 1.098447+4 2.137962-2 1.031739+4 2.162719-2 9.999585+3 2.187762-2 9.691766+3 2.213095-2 9.393398+3 2.238721-2 9.104457+3 2.290868-2 8.552998+3 2.317395-2 8.290258+3 2.344229-2 8.035810+3 2.371374-2 7.787302+3 2.398833-2 7.545060+3 2.400000-2 7.534998+3 2.483133-2 6.863547+3 2.540973-2 6.444491+3 2.570396-2 6.244143+3 2.691535-2 5.503142+3 2.722701-2 5.332305+3 2.754229-2 5.166871+3 2.786121-2 5.006711+3 2.800000-2 4.939164+3 2.818383-2 4.851058+3 2.851018-2 4.699879+3 2.884032-2 4.553487+3 2.917427-2 4.411046+3 2.951209-2 4.273166+3 3.000000-2 4.084205+3 3.019952-2 4.010095+3 3.054921-2 3.884500+3 3.090295-2 3.762938+3 3.126079-2 3.645204+3 3.162278-2 3.531239+3 3.235937-2 3.313072+3 3.273407-2 3.209214+3 3.311311-2 3.108666+3 3.349654-2 3.011335+3 3.388442-2 2.917085+3 3.427678-2 2.825772+3 3.467369-2 2.737183+3 3.589219-2 2.487113+3 3.630781-2 2.408925+3 3.672823-2 2.332718+3 3.715352-2 2.258972+3 3.801894-2 2.118529+3 3.845918-2 2.051677+3 3.890451-2 1.986981+3 3.935501-2 1.924369+3 3.981072-2 1.863724+3 4.073803-2 1.748199+3 4.120975-2 1.693082+3 4.216965-2 1.588109+3 4.315191-2 1.489284+3 4.415704-2 1.396042+3 4.466836-2 1.351673+3 4.623810-2 1.226996+3 4.677351-2 1.188071+3 4.731513-2 1.150406+3 5.000000-2 9.860395+2 5.011872-2 9.795194+2 5.069907-2 9.484712+2 5.128614-2 9.184278+2 5.248075-2 8.606306+2 5.386100-2 7.998824+2 5.386100-2 4.335559+3 5.432503-2 4.244567+3 5.495409-2 4.125467+3 5.559043-2 4.009724+3 5.600000-2 3.937638+3 5.754399-2 3.659162+3 5.888437-2 3.454081+3 5.930000-2 3.393759+3 5.956621-2 3.353651+3 6.095369-2 3.154861+3 6.309573-2 2.878236+3 6.382635-2 2.791524+3 6.456542-2 2.707436+3 6.500000-2 2.659617+3 6.531306-2 2.625875+3 6.683439-2 2.471955+3 6.839116-2 2.327077+3 7.079458-2 2.125597+3 7.244360-2 2.001076+3 7.328245-2 1.940326+3 7.673615-2 1.715274+3 7.762471-2 1.663229+3 8.035261-2 1.516404+3 8.128305-2 1.469807+3 8.222426-2 1.424647+3 8.317638-2 1.380878+3 8.413951-2 1.338459+3 8.511380-2 1.297344+3 8.609938-2 1.257441+3 8.709636-2 1.218769+3 8.912509-2 1.144960+3 9.332543-2 1.010517+3 9.549926-2 9.493545+2 9.660509-2 9.201797+2 9.772372-2 8.919044+2 1.000000-1 8.379378+2 1.023293-1 7.866038+2 1.035142-1 7.621000+2 1.059254-1 7.153622+2 1.135011-1 5.916904+2 1.148154-1 5.732702+2 1.161449-1 5.554251+2 1.174898-1 5.381368+2 1.188502-1 5.213886+2 1.216186-1 4.894415+2 1.230269-1 4.742112+2 1.258925-1 4.451605+2 1.303167-1 4.045621+2 1.318257-1 3.918713+2 1.348963-1 3.676789+2 1.364583-1 3.561498+2 1.479108-1 2.849713+2 1.496236-1 2.760390+2 1.513561-1 2.673879+2 1.531088-1 2.590077+2 1.548817-1 2.508913+2 1.566751-1 2.430303+2 1.584893-1 2.354158+2 1.603245-1 2.280402+2 1.621810-1 2.208959+2 1.640590-1 2.139754+2 1.650000-1 2.106187+2 1.659587-1 2.072740+2 1.678804-1 2.007844+2 1.737801-1 1.825109+2 1.778279-1 1.712636+2 1.798871-1 1.659028+2 1.840772-1 1.556802+2 1.862087-1 1.508079+2 1.883649-1 1.460883+2 1.905461-1 1.415168+2 1.927525-1 1.370889+2 1.949845-1 1.327997+2 1.972423-1 1.286461+2 2.000000-1 1.238096+2 2.018366-1 1.207261+2 2.065380-1 1.132954+2 2.089296-1 1.097536+2 2.113489-1 1.063225+2 2.213095-1 9.363908+1 2.238721-1 9.074141+1 2.264644-1 8.793371+1 2.290868-1 8.521372+1 2.317395-1 8.257817+1 2.344229-1 8.002425+1 2.371374-1 7.755009+1 2.398833-1 7.515257+1 2.426610-1 7.282986+1 2.483133-1 6.839777+1 2.511886-1 6.628403+1 2.570396-1 6.225453+1 2.600160-1 6.033285+1 2.630268-1 5.847120+1 2.660725-1 5.666702+1 2.691535-1 5.491866+1 2.722701-1 5.324434+1 2.754229-1 5.162157+1 2.786121-1 5.004837+1 2.851018-1 4.704442+1 2.884032-1 4.561077+1 2.917427-1 4.422089+1 2.951209-1 4.287351+1 3.000000-1 4.102635+1 3.019952-1 4.030244+1 3.054921-1 3.907539+1 3.090295-1 3.790410+1 3.126079-1 3.676794+1 3.162278-1 3.566621+1 3.198895-1 3.459757+1 3.235937-1 3.356094+1 3.273407-1 3.255542+1 3.311311-1 3.158013+1 3.349654-1 3.063440+1 3.388442-1 2.971698+1 3.467369-1 2.796383+1 3.507519-1 2.712652+1 3.548134-1 2.632836+1 3.589219-1 2.555398+1 3.672823-1 2.407549+1 3.715352-1 2.336898+1 3.758374-1 2.268320+1 3.801894-1 2.201757+1 3.935501-1 2.013564+1 3.981072-1 1.954485+1 4.000000-1 1.931087+1 4.027170-1 1.898191+1 4.073803-1 1.843552+1 4.120975-1 1.790518+1 4.168694-1 1.739113+1 4.315191-1 1.593589+1 4.365158-1 1.547841+1 4.415705-1 1.503406+1 4.466836-1 1.460252+1 4.518559-1 1.418352+1 4.570882-1 1.378490+1 4.623810-1 1.339749+1 4.677351-1 1.302115+1 4.786301-1 1.230149+1 4.897788-1 1.162163+1 4.954502-1 1.129592+1 5.011872-1 1.097938+1 5.069907-1 1.067196+1 5.128614-1 1.037991+1 5.248075-1 9.819586+0 5.308844-1 9.551007+0 5.370318-1 9.290432+0 5.432503-1 9.036973+0 5.495409-1 8.790429+0 5.559043-1 8.550717+0 5.623413-1 8.317654+0 5.688529-1 8.090944+0 5.821032-1 7.665751+0 5.888437-1 7.461610+0 5.956621-1 7.263019+0 6.000000-1 7.140579+0 6.025596-1 7.069919+0 6.095369-1 6.882371+0 6.165950-1 6.699836+0 6.237348-1 6.522211+0 6.309573-1 6.349298+0 6.382635-1 6.180972+0 6.447400-1 6.040415+0 6.456542-1 6.020946+0 6.606935-1 5.713218+0 6.683439-1 5.565443+0 6.760830-1 5.421504+0 6.839117-1 5.281702+0 6.918310-1 5.145561+0 6.998420-1 5.012931+0 7.079458-1 4.883723+0 7.244360-1 4.640792+0 7.328245-1 4.523942+0 7.413102-1 4.410046+0 7.498942-1 4.299084+0 7.585776-1 4.190923+0 7.673615-1 4.085817+0 7.762471-1 3.983348+0 7.852356-1 3.883451+0 7.943282-1 3.788577+0 8.317638-1 3.431778+0 8.413951-1 3.347970+0 8.511380-1 3.266302+0 8.609938-1 3.186626+0 8.709636-1 3.109172+0 9.015711-1 2.894205+0 9.120108-1 2.825953+0 9.225714-1 2.759312+0 9.332543-1 2.694252+0 9.440609-1 2.630806+0 9.549926-1 2.568855+0 9.660509-1 2.508589+0 9.772372-1 2.451579+0 9.885531-1 2.395865+0 1.000000+0 2.341456+0 1.011579+0 2.288286+0 1.023293+0 2.236320+0 1.035142+0 2.185567+0 1.047129+0 2.135994+0 1.059254+0 2.087549+0 1.071519+0 2.040325+0 1.083927+0 1.994191+0 1.096478+0 1.949102+0 1.122018+0 1.863901+0 1.135011+0 1.822705+0 1.148154+0 1.782446+0 1.161449+0 1.743077+0 1.174898+0 1.704578+0 1.188502+0 1.666974+0 1.202264+0 1.630198+0 1.230269+0 1.559280+0 1.244515+0 1.524986+0 1.250000+0 1.512087+0 1.258925+0 1.492051+0 1.288250+0 1.429006+0 1.318257+0 1.368658+0 1.333521+0 1.339468+0 1.348963+0 1.310899+0 1.380384+0 1.255753+0 1.396368+0 1.229069+0 1.412538+0 1.202951+0 1.428894+0 1.178083+0 1.479108+0 1.106544+0 1.496236+0 1.083676+0 1.500000+0 1.078753+0 1.513561+0 1.061299+0 1.531087+0 1.039458+0 1.584893+0 9.765961-1 1.659587+0 9.007972-1 1.678804+0 8.827919-1 1.698244+0 8.651477-1 1.717908+0 8.478760-1 1.757924+0 8.144731-1 1.778279+0 7.982695-1 1.798871+0 7.823872-1 1.840772+0 7.524371-1 1.862087+0 7.378949-1 1.883649+0 7.236336-1 1.905461+0 7.096534-1 1.927525+0 6.959452-1 1.949845+0 6.825168-1 1.995262+0 6.565227-1 2.000000+0 6.539020-1 2.044000+0 6.303399-1 2.065380+0 6.196959-1 2.089296+0 6.081285-1 2.113489+0 5.967770-1 2.162719+0 5.747147-1 2.187762+0 5.639927-1 2.213095+0 5.534834-1 2.264644+0 5.331223-1 2.317395+0 5.135098-1 2.344229+0 5.042518-1 2.371374+0 4.951608-1 2.398833+0 4.862337-1 2.454709+0 4.688668-1 2.483133+0 4.604183-1 2.511886+0 4.521321-1 2.570396+0 4.360610-1 2.630268+0 4.205615-1 2.660725+0 4.132348-1 2.722701+0 3.989620-1 2.754229+0 3.920114-1 2.818383+0 3.784775-1 2.851018+0 3.718875-1 2.884032+0 3.654196-1 2.951209+0 3.528634-1 3.019952+0 3.407385-1 3.054921+0 3.349984-1 3.162278+0 3.183515-1 3.198895+0 3.129886-1 3.273407+0 3.025364-1 3.311311+0 2.974425-1 3.349654+0 2.924401-1 3.427678+0 2.827200-1 3.507519+0 2.733231-1 3.548134+0 2.688730-1 3.672823+0 2.559529-1 3.715352+0 2.517856-1 3.801894+0 2.436569-1 3.845918+0 2.396919-1 3.890451+0 2.357959-1 4.000000+0 2.266880-1 4.073803+0 2.208845-1 4.120975+0 2.174054-1 4.315191+0 2.040280-1 4.365158+0 2.008143-1 4.466836+0 1.945406-1 4.518559+0 1.914779-1 4.570882+0 1.884669-1 4.677351+0 1.826063-1 4.786301+0 1.769279-1 4.841724+0 1.742361-1 5.069907+0 1.638724-1 5.128614+0 1.613792-1 5.248075+0 1.565082-1 5.308844+0 1.541283-1 5.370318+0 1.517872-1 5.495409+0 1.472263-1 5.688529+0 1.406406-1 5.754399+0 1.385668-1 6.095369+0 1.286478-1 6.165950+0 1.267509-1 6.309573+0 1.230419-1 6.382635+0 1.212285-1 6.456542+0 1.194424-1 6.531306+0 1.176839-1 6.683439+0 1.142558-1 6.839116+0 1.109276-1 6.918310+0 1.093474-1 7.244360+0 1.032485-1 7.328245+0 1.017778-1 7.498942+0 9.889986-2 7.585776+0 9.749171-2 7.673615+0 9.610491-2 7.762471+0 9.473796-2 8.035261+0 9.076474-2 8.317638+0 8.695815-2 8.413951+0 8.575607-2 8.912509+0 7.999037-2 9.015711+0 7.888461-2 9.225714+0 7.671953-2 9.332543+0 7.565947-2 9.440609+0 7.461502-2 9.549926+0 7.358508-2 9.772372+0 7.157371-2 1.023293+1 6.771442-2 1.035142+1 6.680523-2 1.109175+1 6.160071-2 1.122018+1 6.077364-2 1.148154+1 5.915309-2 1.161449+1 5.835918-2 1.174898+1 5.757659-2 1.188502+1 5.680460-2 1.216186+1 5.529571-2 1.288250+1 5.169651-2 1.303167+1 5.102157-2 1.400000+1 4.701331-2 1.412538+1 4.653725-2 1.445440+1 4.533039-2 1.462177+1 4.473880-2 1.479108+1 4.415543-2 1.496236+1 4.357968-2 1.513561+1 4.301148-2 1.548817+1 4.190030-2 1.621810+1 3.976340-2 1.640590+1 3.925668-2 1.659587+1 3.875644-2 1.819701+1 3.497725-2 1.840772+1 3.453154-2 1.905461+1 3.322857-2 1.927525+1 3.280530-2 1.949845+1 3.238771-2 1.972423+1 3.197547-2 1.995262+1 3.156850-2 2.018366+1 3.116763-2 2.137962+1 2.923833-2 2.162719+1 2.887487-2 2.187762+1 2.851594-2 2.213095+1 2.816147-2 2.371374+1 2.612528-2 2.400000+1 2.578690-2 2.483133+1 2.485053-2 2.511886+1 2.454172-2 2.540973+1 2.423695-2 2.600160+1 2.363877-2 2.630268+1 2.334525-2 2.660725+1 2.305598-2 2.691535+1 2.277032-2 2.722701+1 2.248821-2 2.884032+1 2.112919-2 2.917427+1 2.087152-2 2.951209+1 2.061699-2 3.019952+1 2.011720-2 3.311311+1 1.823630-2 3.388442+1 1.779422-2 3.548134+1 1.694216-2 3.589219+1 1.673562-2 3.630781+1 1.653158-2 3.672823+1 1.633017-2 3.758374+1 1.593470-2 3.801894+1 1.574058-2 3.845918+1 1.554921-2 3.890451+1 1.536019-2 4.073803+1 1.462680-2 4.120975+1 1.445209-2 4.168694+1 1.427947-2 4.265795+1 1.394038-2 4.731513+1 1.251140-2 4.841724+1 1.221430-2 5.128614+1 1.150219-2 5.188000+1 1.136484-2 5.248075+1 1.122912-2 5.308844+1 1.109503-2 5.432503+1 1.083175-2 5.623413+1 1.044853-2 5.754399+1 1.020062-2 5.821032+1 1.007905-2 5.888437+1 9.958944-3 6.382635+1 9.157338-3 6.456542+1 9.049593-3 6.531306+1 8.943114-3 6.760830+1 8.631140-3 7.762471+1 7.488343-3 7.943282+1 7.313165-3 8.511380+1 6.811921-3 8.609938+1 6.731788-3 8.709636+1 6.652599-3 8.810489+1 6.574341-3 9.015711+1 6.420643-3 9.332543+1 6.196815-3 9.549926+1 6.051951-3 9.660509+1 5.980884-3 9.885531+1 5.841252-3 1.083927+2 5.314572-3 1.096478+2 5.252808-3 1.122018+2 5.131422-3 1.161449+2 4.954576-3 1.428894+2 4.014409-3 1.462177+2 3.921640-3 1.621810+2 3.530046-3 1.640590+2 3.489024-3 1.678804+2 3.408408-3 1.717908+2 3.329675-3 1.798871+2 3.177623-3 1.819701+2 3.140708-3 1.862087+2 3.068161-3 1.883649+2 3.032544-3 1.972423+2 2.894167-3 2.162719+2 2.636069-3 2.187762+2 2.605647-3 2.238721+2 2.545854-3 2.317395+2 2.458725-3 2.851018+2 1.995125-3 2.917427+2 1.949341-3 3.235937+2 1.755989-3 3.273407+2 1.735726-3 3.349654+2 1.695900-3 3.427678+2 1.656994-3 3.589219+2 1.581843-3 3.630781+2 1.563594-3 3.715352+2 1.527725-3 3.758374+2 1.510110-3 3.935501+2 1.441662-3 4.315191+2 1.313932-3 4.365158+2 1.298848-3 4.466836+2 1.269198-3 4.623810+2 1.225988-3 1.135011+3 4.981480-4 1.161449+3 4.867763-4 1.288250+3 4.387340-4 1.303167+3 4.336977-4 1.333521+3 4.237981-4 1.364583+3 4.141250-4 1.428894+3 3.954365-4 1.445440+3 3.908976-4 1.479108+3 3.819759-4 1.496236+3 3.775926-4 1.566751+3 3.605576-4 1.717908+3 3.287586-4 1.737801+3 3.249939-4 3.548134+3 1.591364-4 3.672823+3 1.537321-4 1.000000+5 5.639952-6 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.350000-6 5.350000-6 9.660000-6 5.350000-6 9.660000-6 8.493571-6 1.062000-5 8.742545-6 1.062000-5 9.466078-6 1.180000-5 9.638448-6 1.320000-5 9.777160-6 1.500000-5 9.875870-6 1.770000-5 9.933493-6 2.809000-5 9.983108-6 2.809000-5 2.619982-5 3.054921-5 2.498806-5 3.306000-5 2.357401-5 3.306000-5 2.754897-5 3.672823-5 2.557275-5 4.466836-5 2.101434-5 4.677351-5 1.986376-5 4.954502-5 1.847063-5 5.128614-5 1.767357-5 5.248075-5 1.716162-5 5.367000-5 1.668737-5 5.367000-5 1.692537-5 5.530000-5 1.632873-5 5.740000-5 1.564584-5 5.956621-5 1.503690-5 6.165950-5 1.453255-5 6.400000-5 1.405285-5 6.650000-5 1.361989-5 7.000000-5 1.314007-5 7.328245-5 1.278833-5 7.673615-5 1.249814-5 8.035261-5 1.226048-5 8.511380-5 1.202212-5 9.120108-5 1.180453-5 9.900000-5 1.161293-5 1.096478-4 1.144597-5 1.244515-4 1.131113-5 1.428894-4 1.122844-5 1.602400-4 1.119310-5 1.602400-4 1.243334-5 1.621810-4 1.261664-5 1.670700-4 1.314860-5 1.670700-4 1.395641-5 1.711000-4 1.444715-5 1.740000-4 1.469972-5 1.762000-4 1.481380-5 1.788000-4 1.485732-5 1.820000-4 1.479869-5 1.865000-4 1.457573-5 2.018366-4 1.358930-5 2.080000-4 1.326324-5 2.142000-4 1.300504-5 2.213095-4 1.280565-5 2.290868-4 1.269140-5 2.373000-4 1.267169-5 2.465000-4 1.274643-5 2.580000-4 1.294682-5 2.730000-4 1.332098-5 2.915600-4 1.387953-5 2.915600-4 1.653457-5 3.293800-4 1.786505-5 3.293800-4 1.865100-5 3.758374-4 2.025684-5 4.042000-4 2.115642-5 4.042000-4 2.278310-5 4.518559-4 2.419952-5 5.011872-4 2.547159-5 5.559043-4 2.668972-5 6.095369-4 2.771163-5 6.700000-4 2.871256-5 7.500000-4 2.984219-5 8.413951-4 3.091112-5 9.549926-4 3.202562-5 1.071519-3 3.297442-5 1.244515-3 3.413913-5 1.299500-3 3.446599-5 1.299500-3 5.225279-5 1.336600-3 5.234713-5 1.336600-3 5.527507-5 1.410000-3 5.604574-5 1.480300-3 5.639284-5 1.662100-3 5.638137-5 1.662100-3 6.083285-5 1.830900-3 6.126511-5 1.830900-3 6.339795-5 2.018200-3 6.405569-5 2.018200-3 6.630482-5 2.630268-3 6.873454-5 3.400000-3 7.120646-5 4.265795-3 7.345594-5 5.370318-3 7.575719-5 6.683439-3 7.792588-5 7.781000-3 7.940665-5 7.781000-3 1.059973-4 8.590700-3 1.063966-4 8.590700-3 1.126543-4 9.012500-3 1.128196-4 9.012500-3 1.184812-4 1.288250-2 1.209033-4 1.883649-2 1.234732-4 2.722701-2 1.259562-4 3.935501-2 1.283714-4 5.386100-2 1.303160-4 5.386100-2 1.253773-4 1.496236-1 1.260263-4 5.688529-1 1.264269-4 1.000000+5 1.264698-4 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.350000-6 0.0 1.670700-4 0.0 1.670700-4 7.80071-10 1.675000-4 7.94208-10 1.682000-4 8.22132-10 1.690000-4 8.59532-10 1.704200-4 9.37016-10 1.711000-4 9.76800-10 1.733000-4 1.113715-9 1.744000-4 1.180286-9 1.751000-4 1.220355-9 1.762000-4 1.278046-9 1.770000-4 1.314950-9 1.778279-4 1.347971-9 1.788000-4 1.380100-9 1.800000-4 1.408603-9 1.810000-4 1.424778-9 1.820000-4 1.432949-9 1.831500-4 1.434705-9 1.846000-4 1.426543-9 1.865000-4 1.401976-9 1.880000-4 1.376440-9 1.905461-4 1.321192-9 1.922000-4 1.282700-9 2.020000-4 1.034386-9 2.041738-4 9.81668-10 2.065380-4 9.27328-10 2.080000-4 8.95351-10 2.120000-4 8.13339-10 2.142000-4 7.73698-10 2.162719-4 7.38388-10 2.190000-4 6.98088-10 2.220000-4 6.59862-10 2.250000-4 6.27974-10 2.270000-4 6.10073-10 2.300000-4 5.88052-10 2.323000-4 5.75075-10 2.350000-4 5.63855-10 2.373000-4 5.57333-10 2.400000-4 5.53026-10 2.430000-4 5.52048-10 2.454709-4 5.54259-10 2.490000-4 5.61885-10 2.520000-4 5.71752-10 2.550000-4 5.84425-10 2.580000-4 5.99587-10 2.620000-4 6.23411-10 2.670000-4 6.58688-10 2.730000-4 7.06782-10 2.820000-4 7.88715-10 2.915600-4 8.83293-10 2.915600-4 1.746492-9 3.150000-4 2.019176-9 3.293800-4 2.190892-9 3.293800-4 2.666615-9 3.600000-4 3.051903-9 3.850000-4 3.353370-9 4.042000-4 3.575307-9 4.042000-4 4.135147-9 4.365158-4 4.496886-9 4.700000-4 4.839328-9 5.069907-4 5.181958-9 5.500000-4 5.543372-9 5.956621-4 5.879509-9 6.500000-4 6.232056-9 7.079458-4 6.561431-9 7.500000-4 6.778401-9 8.035261-4 7.026958-9 8.709636-4 7.303549-9 9.772372-4 7.682651-9 1.071519-3 7.968826-9 1.190000-3 8.283084-9 1.299500-3 8.536972-9 1.299500-3 9.427737-9 1.336600-3 9.453173-9 1.336600-3 2.011555-6 1.381500-3 2.290092-6 1.383000-3 2.294459-6 1.410000-3 2.448887-6 1.435000-3 2.566881-6 1.450000-3 2.631651-6 1.462177-3 2.664123-6 1.480300-3 2.705356-6 1.496236-3 2.726823-6 1.662100-3 2.706914-6 1.662100-3 2.749125-6 1.830900-3 2.740640-6 1.830900-3 3.027423-6 2.018200-3 3.051478-6 2.018200-3 3.163081-6 2.371374-3 3.222901-6 3.019952-3 3.309985-6 3.758374-3 3.392367-6 4.786301-3 3.484499-6 6.165950-3 3.580592-6 7.781000-3 3.667826-6 7.781000-3 8.119403-4 8.070500-3 8.145258-4 8.590700-3 8.136122-4 8.590700-3 1.059428-3 9.012500-3 1.061520-3 9.012500-3 1.122326-3 1.202264-2 1.135750-3 1.840772-2 1.148782-3 3.000000-2 1.159408-3 5.386100-2 1.168643-3 5.386100-2 3.753155-2 6.095369-2 3.777373-2 8.128305-2 3.816419-2 1.188502-1 3.847066-2 1.972423-1 3.868809-2 6.309573-1 3.890875-2 1.230269+0 3.901756-2 1.000000+5 3.901134-2 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.350000-6 0.0 9.660000-6 4.310000-6 9.660000-6 1.166429-6 1.020000-5 1.563382-6 1.062000-5 1.877455-6 1.062000-5 1.153922-6 1.100000-5 1.472727-6 1.135011-5 1.771388-6 1.180000-5 2.161552-6 1.244515-5 2.734181-6 1.333521-5 3.547545-6 1.445440-5 4.601144-6 1.610000-5 6.192159-6 1.950000-5 9.551542-6 2.809000-5 1.810689-5 2.809000-5 1.890180-6 2.851018-5 2.503172-6 2.920000-5 3.522862-6 3.019952-5 5.025625-6 3.090295-5 6.102822-6 3.235937-5 8.375111-6 3.306000-5 9.485989-6 3.306000-5 5.511028-6 3.520000-5 8.786651-6 3.801894-5 1.317511-5 4.466836-5 2.365402-5 4.786301-5 2.856360-5 5.128614-5 3.361257-5 5.367000-5 3.698263-5 5.367000-5 3.674463-5 5.740000-5 4.175416-5 6.165950-5 4.712695-5 6.650000-5 5.288011-5 7.328245-5 6.049412-5 8.400000-5 7.192857-5 1.047129-4 9.319899-5 1.602400-4 1.490469-4 1.602400-4 1.478067-4 1.670700-4 1.539214-4 1.670700-4 1.531128-4 1.773400-4 1.624948-4 1.922000-4 1.779938-4 2.220000-4 2.092078-4 2.630268-4 2.499661-4 2.915600-4 2.776796-4 2.915600-4 2.750237-4 3.293800-4 3.115128-4 3.293800-4 3.107263-4 4.042000-4 3.830400-4 4.042000-4 3.814128-4 6.500000-4 6.215957-4 1.299500-3 1.265025-3 1.299500-3 1.247238-3 1.336600-3 1.284243-3 1.336600-3 1.279313-3 1.662100-3 1.603012-3 1.662100-3 1.598518-3 1.830900-3 1.766894-3 1.830900-3 1.764475-3 2.018200-3 1.951093-3 2.018200-3 1.948732-3 7.781000-3 7.697926-3 7.781000-3 6.863062-3 8.590700-3 7.670691-3 8.590700-3 7.418617-3 9.012500-3 7.838160-3 9.012500-3 7.771693-3 3.715352-2 3.586235-2 5.386100-2 5.256204-2 5.386100-2 1.620407-2 5.600000-2 1.823359-2 5.888437-2 2.103615-2 8.035261-2 4.207299-2 1.348963-1 9.622722-2 1.000000+5 9.999996+4 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 5.386100-2 3.535677+3 5.600000-2 3.220827+3 5.754399-2 2.995129+3 5.930000-2 2.783480+3 6.531306-2 2.161100+3 7.244360-2 1.654197+3 8.035261-2 1.257776+3 1.000000-1 6.987920+2 1.258925-1 3.727459+2 2.213095-1 7.883258+1 2.691535-1 4.628386+1 3.054921-1 3.295429+1 3.507519-1 2.289187+1 3.981072-1 1.650379+1 4.518559-1 1.198349+1 5.069907-1 9.021135+0 5.688529-1 6.843581+0 6.382635-1 5.231228+0 7.079458-1 4.135556+0 7.852356-1 3.290330+0 8.709636-1 2.636398+0 9.660509-1 2.128448+0 1.096478+0 1.654182+0 1.250000+0 1.283316+0 1.412538+0 1.020827+0 1.584893+0 8.286432-1 1.798871+0 6.638617-1 2.044000+0 5.348581-1 2.317395+0 4.357334-1 2.630268+0 3.568612-1 3.019952+0 2.891295-1 3.507519+0 2.319253-1 4.073803+0 1.874287-1 4.786301+0 1.501298-1 5.688529+0 1.193375-1 6.839116+0 9.412661-2 8.317638+0 7.378667-2 1.023293+1 5.745801-2 1.288250+1 4.386571-2 1.621810+1 3.374135-2 2.137962+1 2.480974-2 2.884032+1 1.792933-2 4.073803+1 1.241159-2 6.382635+1 7.770472-3 1.083927+2 4.509681-3 2.162719+2 2.236947-3 4.315191+2 1.114982-3 1.717908+3 2.789870-4 1.000000+5 4.786300-6 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 5.386100-2 1.242600-4 1.000000+5 1.242600-4 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.386100-2 4.575800-2 1.000000+5 4.575800-2 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.386100-2 7.978740-3 1.000000+5 9.999995+4 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 9.012500-3 1.359623+4 9.160000-3 1.312054+4 9.350000-3 1.270014+4 9.549926-3 1.223386+4 9.900000-3 1.154864+4 1.083927-2 9.838435+3 1.174898-2 8.556531+3 1.273503-2 7.367023+3 1.333521-2 6.746899+3 1.420000-2 6.008920+3 1.819701-2 3.686502+3 2.018366-2 2.978629+3 2.344229-2 2.178120+3 2.800000-2 1.482062+3 3.162278-2 1.130325+3 3.630781-2 8.261651+2 4.315191-2 5.527357+2 5.128614-2 3.660848+2 6.095369-2 2.401997+2 7.244360-2 1.562310+2 8.511380-2 1.038290+2 1.023293-1 6.462207+1 1.258925-1 3.761772+1 2.511886-1 6.042961+0 3.054921-1 3.620813+0 3.589219-1 2.391461+0 4.120975-1 1.687450+0 4.677351-1 1.234297+0 5.308844-1 9.092693-1 6.000000-1 6.818405-1 6.760830-1 5.191503-1 7.585776-1 4.021241-1 8.609938-1 3.061075-1 9.549926-1 2.467314-1 1.059254+0 2.004627-1 1.202264+0 1.565257-1 1.348963+0 1.258565-1 1.513561+0 1.018899-1 1.717908+0 8.139899-2 1.949845+0 6.552413-2 2.213095+0 5.313259-2 2.511886+0 4.340408-2 2.884032+0 3.507938-2 3.349654+0 2.807273-2 3.890451+0 2.263693-2 4.570882+0 1.809334-2 5.370318+0 1.457109-2 6.531306+0 1.129838-2 7.762471+0 9.094179-3 9.549926+0 7.063879-3 1.188502+1 5.453048-3 1.513561+1 4.128881-3 1.995262+1 3.031133-3 2.630268+1 2.240942-3 3.801894+1 1.511266-3 5.754399+1 9.793523-4 9.549926+1 5.810354-4 1.862087+2 2.946222-4 3.715352+2 1.467169-4 1.479108+3 3.668986-5 1.000000+5 5.418100-7 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 9.012500-3 1.546700-4 1.000000+5 1.546700-4 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 9.012500-3 1.511000-3 1.000000+5 1.511000-3 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 9.012500-3 7.346830-3 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 8.590700-3 2.671977+4 8.670000-3 2.615136+4 8.810489-3 2.530000+4 9.400000-3 2.151400+4 1.083927-2 1.482400+4 1.202264-2 1.120900+4 1.428894-2 6.955000+3 1.659587-2 4.581300+3 2.080000-2 2.391300+3 2.540973-2 1.326200+3 3.000000-2 8.063400+2 3.427678-2 5.384600+2 4.073803-2 3.172400+2 5.000000-2 1.681000+2 6.309573-2 8.113400+1 1.318257-1 7.918293+0 1.650000-1 3.924319+0 2.000000-1 2.165280+0 2.344229-1 1.334756+0 2.722701-1 8.523668-1 3.126079-1 5.676440-1 3.548134-1 3.939042-1 4.000000-1 2.807574-1 4.466836-1 2.070120-1 5.011872-1 1.517690-1 5.559043-1 1.155547-1 6.165950-1 8.856753-2 6.839117-1 6.836588-2 7.585776-1 5.316666-2 8.413951-1 4.152151-2 9.015711-1 3.542783-2 9.660509-1 3.042731-2 1.035142+0 2.632995-2 1.135011+0 2.188150-2 1.250000+0 1.816487-2 1.380384+0 1.512312-2 1.659587+0 1.088635-2 1.883649+0 8.742715-3 2.113489+0 7.210132-3 2.398833+0 5.875254-3 2.754229+0 4.736541-3 3.198895+0 3.781582-3 3.715352+0 3.042417-3 4.365158+0 2.426320-3 5.128614+0 1.949787-3 6.165950+0 1.531517-3 7.328245+0 1.229675-3 9.015711+0 9.530960-4 1.122018+1 7.342666-4 1.412538+1 5.623550-4 1.840772+1 4.172009-4 2.400000+1 3.116400-4 3.388442+1 2.149834-4 4.841724+1 1.475730-4 7.943282+1 8.835511-5 1.462177+2 4.738349-5 2.917427+2 2.355781-5 1.161449+3 5.884238-6 1.000000+5 6.820500-8 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 8.590700-3 1.294500-4 1.000000+5 1.294500-4 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 8.590700-3 1.719200-3 1.000000+5 1.719200-3 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 8.590700-3 6.742050-3 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 7.781000-3 5.879177+4 8.070500-3 5.388475+4 8.511380-3 4.677797+4 1.000000-2 3.005688+4 1.122018-2 2.169720+4 1.462177-2 1.008675+4 1.584893-2 7.944293+3 1.927525-2 4.411946+3 2.371374-2 2.333935+3 2.884032-2 1.264541+3 3.467369-2 7.036120+2 4.216965-2 3.740270+2 5.128614-2 1.972283+2 6.500000-2 9.008240+1 8.709636-2 3.390732+1 1.303167-1 8.797296+0 1.650000-1 4.014248+0 1.949845-1 2.320030+0 2.264644-1 1.429405+0 2.600160-1 9.206388-1 2.951209-1 6.197735-1 3.311311-1 4.357069-1 3.672823-1 3.194518-1 4.073803-1 2.358238-1 4.518559-1 1.753891-1 5.011872-1 1.315000-1 5.495409-1 1.024931-1 6.025596-1 8.041394-2 6.606935-1 6.353276-2 7.244360-1 5.053976-2 7.943282-1 4.048233-2 8.709636-1 3.255175-2 9.332543-1 2.782713-2 9.885531-1 2.455787-2 1.071519+0 2.079530-2 1.174898+0 1.732663-2 1.288250+0 1.454500-2 1.428894+0 1.204013-2 1.698244+0 8.860610-3 1.927525+0 7.124369-3 2.187762+0 5.772792-3 2.483133+0 4.712732-3 2.851018+0 3.806353-3 3.311311+0 3.044324-3 3.845918+0 2.453517-3 4.518559+0 1.959928-3 5.308844+0 1.577495-3 6.382635+0 1.240801-3 7.585776+0 9.977662-4 9.332543+0 7.743510-4 1.161449+1 5.972946-4 1.462177+1 4.578953-4 1.927525+1 3.357918-4 2.511886+1 2.511825-4 3.630781+1 1.692101-4 5.308844+1 1.135512-4 8.810489+1 6.728654-5 1.678804+2 3.488921-5 3.349654+2 1.736285-5 1.333521+3 4.340133-6 1.000000+5 5.777300-8 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 7.781000-3 1.213100-4 1.000000+5 1.213100-4 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 7.781000-3 1.277400-3 1.000000+5 1.277400-3 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 7.781000-3 6.382290-3 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.018200-3 4.018705+4 2.137962-3 3.757853+4 2.264644-3 3.479421+4 2.400000-3 3.228000+4 2.511886-3 3.028057+4 3.019952-3 2.307862+4 3.467369-3 1.871803+4 3.758374-3 1.643344+4 4.518559-3 1.210849+4 5.069907-3 9.919526+3 5.888437-3 7.612022+3 7.000000-3 5.545340+3 7.943282-3 4.372706+3 9.332543-3 3.208070+3 1.109175-2 2.282134+3 1.318257-2 1.609613+3 1.580000-2 1.106102+3 1.862087-2 7.808803+2 2.187762-2 5.508512+2 2.570396-2 3.857229+2 3.019952-2 2.681056+2 3.589219-2 1.800963+2 4.216965-2 1.232831+2 5.000000-2 8.195120+1 5.888437-2 5.496659+1 7.079458-2 3.476516+1 8.511380-2 2.180892+1 1.023293-1 1.358162+1 1.303167-1 7.232366+0 1.621810-1 4.065074+0 2.398833-1 1.444077+0 2.951209-1 8.402555-1 3.507519-1 5.386639-1 4.027170-1 3.799131-1 4.623810-1 2.699954-1 5.248075-1 1.988576-1 5.888437-1 1.515976-1 6.606935-1 1.163975-1 7.413102-1 9.001875-2 8.413951-1 6.840783-2 9.332543-1 5.503634-2 1.023293+0 4.568094-2 1.174898+0 3.481967-2 1.318257+0 2.795610-2 1.496236+0 2.213454-2 1.698244+0 1.767233-2 1.927525+0 1.421616-2 2.187762+0 1.151762-2 2.483133+0 9.402472-3 2.851018+0 7.595108-3 3.311311+0 6.074803-3 3.845918+0 4.895745-3 4.518559+0 3.910846-3 5.308844+0 3.147853-3 6.456542+0 2.439725-3 7.585776+0 1.991031-3 9.332543+0 1.545185-3 1.161449+1 1.191885-3 1.462177+1 9.137058-4 1.927525+1 6.700513-4 2.511886+1 5.012231-4 3.630781+1 3.376435-4 5.308844+1 2.265870-4 8.810489+1 1.342661-4 1.678804+2 6.962010-5 3.349654+2 3.464691-5 1.333521+3 8.660526-6 1.000000+5 1.152800-7 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.018200-3 1.175100-4 1.000000+5 1.175100-4 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.018200-3 5.703900-6 1.000000+5 5.703900-6 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.018200-3 1.894986-3 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.830900-3 6.502110+4 2.113489-3 5.547668+4 2.238721-3 5.159092+4 2.469600-3 4.514117+4 2.660725-3 4.057166+4 2.884032-3 3.591523+4 3.126079-3 3.156523+4 3.349654-3 2.807256+4 3.890451-3 2.155323+4 4.216965-3 1.855321+4 4.841724-3 1.418582+4 5.300000-3 1.182326+4 6.025596-3 9.041308+3 6.606934-3 7.417072+3 7.585776-3 5.455583+3 8.413951-3 4.303406+3 9.549926-3 3.195905+3 1.083927-2 2.353076+3 1.216186-2 1.769648+3 1.380384-2 1.284238+3 1.580000-2 9.050700+2 1.800000-2 6.408900+2 2.041738-2 4.560719+2 2.344229-2 3.118317+2 2.691535-2 2.117083+2 3.090295-2 1.427747+2 3.589219-2 9.255124+1 4.216965-2 5.760289+1 5.011872-2 3.440596+1 6.095369-2 1.902450+1 7.762471-2 9.073628+0 1.531088-1 1.112710+0 1.905461-1 5.699244-1 2.290868-1 3.267877-1 2.660725-1 2.094016-1 3.054921-1 1.398011-1 3.467369-1 9.717313-2 3.935501-1 6.804001-2 4.415705-1 4.955991-2 4.954502-1 3.637084-2 5.495409-1 2.772906-2 6.095369-1 2.128218-2 6.760830-1 1.644150-2 7.498942-1 1.279142-2 8.609938-1 9.232727-3 9.225714-1 7.890309-3 9.885531-1 6.789963-3 1.071519+0 5.750852-3 1.174898+0 4.792239-3 1.288250+0 4.023017-3 1.428894+0 3.329988-3 1.698244+0 2.450470-3 1.927525+0 1.970494-3 2.187762+0 1.597027-3 2.483133+0 1.303945-3 2.851018+0 1.053257-3 3.311311+0 8.424114-4 3.845918+0 6.789153-4 4.518559+0 5.423311-4 5.308844+0 4.365198-4 6.456542+0 3.383207-4 7.673615+0 2.721779-4 9.440609+0 2.113273-4 1.174898+1 1.630710-4 1.479108+1 1.250495-4 1.949845+1 9.174193-5 2.540973+1 6.864107-5 3.672823+1 4.625432-5 5.432503+1 3.067751-5 9.015711+1 1.818509-5 1.717908+2 9.431825-6 3.427678+2 4.694520-6 1.364583+3 1.173603-6 1.000000+5 1.598600-8 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.830900-3 9.873600-5 1.000000+5 9.873600-5 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.830900-3 7.779000-6 1.000000+5 7.779000-6 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.830900-3 1.724385-3 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.662100-3 1.767553+5 1.760000-3 1.640824+5 1.800000-3 1.597252+5 1.950000-3 1.429004+5 2.070000-3 1.305100+5 2.300000-3 1.104408+5 2.540973-3 9.363068+4 2.754229-3 8.140664+4 2.985383-3 7.032573+4 3.548134-3 5.059979+4 3.845918-3 4.312071+4 4.415704-3 3.240163+4 4.841724-3 2.663850+4 5.500000-3 2.011432+4 6.095369-3 1.594128+4 7.000000-3 1.154428+4 7.800000-3 8.903800+3 8.810489-3 6.601705+3 1.011579-2 4.657598+3 1.135011-2 3.457505+3 1.273503-2 2.551422+3 1.462177-2 1.757374+3 1.678804-2 1.200193+3 1.927525-2 8.130265+2 2.238721-2 5.283997+2 2.570396-2 3.522011+2 2.951209-2 2.330662+2 3.388442-2 1.532018+2 3.935501-2 9.655259+1 4.623810-2 5.828536+1 5.495409-2 3.367637+1 6.683439-2 1.793450+1 8.413951-2 8.472024+0 1.548817-1 1.142007+0 1.883649-1 6.045143-1 2.238721-1 3.473185-1 2.570396-1 2.244964-1 2.917427-1 1.515412-1 3.273407-1 1.067372-1 3.672823-1 7.573746-2 4.073803-1 5.601604-2 4.518559-1 4.174515-2 5.011872-1 3.133597-2 5.559043-1 2.369090-2 6.095369-1 1.860329-2 6.683439-1 1.471410-2 7.328245-1 1.171918-2 8.317638-1 8.654365-3 9.015711-1 7.179130-3 9.660509-1 6.160662-3 1.035142+0 5.328491-3 1.135011+0 4.427114-3 1.250000+0 3.675202-3 1.380384+0 3.060201-3 1.678804+0 2.159061-3 1.905461+0 1.734831-3 2.162719+0 1.404717-3 2.454709+0 1.146043-3 2.818383+0 9.250541-4 3.273407+0 7.394080-4 3.801894+0 5.955614-4 4.466836+0 4.754917-4 5.248075+0 3.825161-4 6.309573+0 3.007378-4 7.498942+0 2.417115-4 9.225714+0 1.875035-4 1.148154+1 1.445754-4 1.445440+1 1.107925-4 1.905461+1 8.121959-5 2.483133+1 6.074169-5 3.548134+1 4.140879-5 5.128614+1 2.811054-5 8.511380+1 1.664810-5 1.621810+2 8.628751-6 3.235937+2 4.293048-6 1.288250+3 1.072962-6 1.000000+5 1.379700-8 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.662100-3 9.025300-5 1.000000+5 9.025300-5 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.662100-3 3.028100-6 1.000000+5 3.028100-6 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.662100-3 1.568819-3 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.336600-3 4.097075+5 1.381500-3 4.593568+5 1.383000-3 4.596477+5 1.410000-3 4.859452+5 1.435000-3 4.980064+5 1.450000-3 5.035467+5 1.462177-3 5.024980+5 1.480300-3 4.990518+5 1.496236-3 4.921310+5 1.800000-3 3.100924+5 1.972423-3 2.450443+5 2.162719-3 1.919958+5 2.371374-3 1.493488+5 2.660725-3 1.081931+5 2.884032-3 8.598488+4 3.349654-3 5.531225+4 3.672823-3 4.194134+4 4.300000-3 2.580960+4 4.731513-3 1.910499+4 5.432503-3 1.227563+4 6.165950-3 8.109917+3 6.839116-3 5.747451+3 7.852356-3 3.600953+3 9.000000-3 2.249756+3 1.011579-2 1.494050+3 1.150000-2 9.473000+2 1.318257-2 5.789184+2 1.531087-2 3.346285+2 1.757924-2 2.002588+2 2.041738-2 1.139545+2 2.371374-2 6.436573+1 2.800000-2 3.387828+1 3.311311-2 1.759539+1 4.120975-2 7.422420+0 5.248075-2 2.834225+0 9.332543-2 2.836487-1 1.148154-1 1.246378-1 1.364583-1 6.325100-2 1.603245-1 3.383234-2 1.840772-1 1.991879-2 2.113489-1 1.181364-2 2.398833-1 7.371746-3 2.691535-1 4.834215-3 3.019952-1 3.192580-3 3.349654-1 2.210773-3 3.715352-1 1.542360-3 4.027170-1 1.172540-3 4.415705-1 8.638190-4 4.897788-1 6.172844-4 5.432503-1 4.443311-4 6.025596-1 3.222752-4 6.606935-1 2.436456-4 7.244360-1 1.854980-4 7.852356-1 1.470872-4 8.609938-1 1.131248-4 9.120108-1 9.668470-5 9.549926-1 8.579068-5 1.000000+0 7.661864-5 1.047129+0 6.892891-5 1.096478+0 6.243677-5 1.161449+0 5.562227-5 1.230269+0 4.990626-5 1.333521+0 4.317427-5 1.479108+0 3.614309-5 1.862087+0 2.416412-5 2.065380+0 2.028545-5 2.344229+0 1.650614-5 2.660725+0 1.352668-5 3.054921+0 1.096578-5 3.548134+0 8.801431-6 4.120975+0 7.116601-6 4.841724+0 5.703504-6 5.754399+0 4.536086-6 6.918310+0 3.579392-6 8.413951+0 2.807204-6 1.035142+1 2.186857-6 1.303167+1 1.670212-6 1.659587+1 1.268578-6 2.213095+1 9.216750-7 3.019952+1 6.583900-7 4.265795+1 4.562660-7 6.760830+1 2.824959-7 1.161449+2 1.621674-7 2.317395+2 8.048900-8 4.623810+2 4.013425-8 3.672823+3 5.031624-9 1.000000+5 1.84680-10 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.336600-3 6.452400-5 1.000000+5 6.452400-5 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.336600-3 8.335900-6 1.000000+5 8.335900-6 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.336600-3 1.263740-3 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.299500-3 9.578493+5 1.410000-3 8.291400+5 1.445440-3 7.769040+5 1.548817-3 6.514742+5 1.737801-3 4.871676+5 1.905461-3 3.835053+5 2.070000-3 3.075438+5 2.264644-3 2.405029+5 2.483133-3 1.857739+5 2.754229-3 1.382502+5 3.019952-3 1.053749+5 3.467369-3 6.963045+4 3.845918-3 5.060021+4 4.315191-3 3.529889+4 4.841724-3 2.443474+4 5.432503-3 1.680735+4 6.165950-3 1.104688+4 6.918310-3 7.490507+3 7.800000-3 4.963014+3 8.810489-3 3.244797+3 1.011579-2 1.987585+3 1.161449-2 1.207392+3 1.333521-2 7.276417+2 1.531087-2 4.351004+2 1.778279-2 2.471744+2 2.065380-2 1.392222+2 2.400000-2 7.764360+1 2.818383-2 4.124433+1 3.349654-2 2.072578+1 4.120975-2 8.993308+0 5.128614-2 3.693528+0 9.660509-2 2.766780-1 1.161449-1 1.309825-1 1.364583-1 6.855740-2 1.566751-1 3.963044-2 1.778279-1 2.414221-2 2.000000-1 1.534632-2 2.371374-1 8.096278-3 2.630268-1 5.526875-3 2.884032-1 3.962485-3 3.162278-1 2.859971-3 3.467369-1 2.078763-3 3.801894-1 1.521741-3 4.168694-1 1.121878-3 4.570882-1 8.332293-4 4.954502-1 6.466041-4 5.370318-1 5.050877-4 5.821032-1 3.973194-4 6.237348-1 3.254789-4 6.760830-1 2.598469-4 7.328245-1 2.090294-4 7.943282-1 1.694054-4 8.609938-1 1.377426-4 9.120108-1 1.195516-4 9.660509-1 1.044558-4 1.023293+0 9.197585-5 1.083927+0 8.152818-5 1.161449+0 7.103673-5 1.258925+0 6.096213-5 1.380384+0 5.156191-5 1.757924+0 3.366804-5 1.995262+0 2.711627-5 2.264644+0 2.201939-5 2.570396+0 1.801143-5 2.951209+0 1.457572-5 3.427678+0 1.167812-5 4.000000+0 9.364600-6 4.677351+0 7.543090-6 5.495409+0 6.080786-6 6.683439+0 4.719794-6 8.035261+0 3.749023-6 9.772372+0 2.956115-6 1.216186+1 2.283766-6 1.548817+1 1.730596-6 2.018366+1 1.287410-6 2.722701+1 9.288440-7 3.890451+1 6.345147-7 5.888437+1 4.113589-7 9.885531+1 2.412735-7 1.972423+2 1.195676-7 3.935501+2 5.956669-8 1.566751+3 1.489972-8 1.000000+5 2.33080-10 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.299500-3 5.977200-5 1.000000+5 5.977200-5 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.299500-3 9.804300-9 1.000000+5 9.804300-9 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.299500-3 1.239718-3 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 4.042000-4 9.419641+4 4.466836-4 8.897327+4 5.432503-4 7.622209+4 5.821032-4 7.165285+4 6.500000-4 6.394080+4 7.244360-4 5.691690+4 7.852356-4 5.180465+4 9.015711-4 4.361580+4 9.885531-4 3.868191+4 1.122018-3 3.249148+4 1.270000-3 2.721620+4 1.479108-3 2.166417+4 1.678804-3 1.779764+4 1.950000-3 1.400030+4 2.300000-3 1.065244+4 2.722701-3 7.986991+3 3.235937-3 5.900576+3 3.890451-3 4.236853+3 4.677351-3 3.019089+3 5.688529-3 2.089908+3 6.839116-3 1.467961+3 8.222426-3 1.023916+3 9.885531-3 7.089616+2 1.174898-2 4.987103+2 1.396368-2 3.483986+2 1.678804-2 2.357474+2 2.000000-2 1.614184+2 2.371374-2 1.108554+2 2.818383-2 7.516481+1 3.349654-2 5.056728+1 3.981072-2 3.375109+1 4.731513-2 2.235368+1 5.559043-2 1.510760+1 6.683439-2 9.578054+0 8.035261-2 6.025757+0 9.772372-2 3.649585+0 1.230269-1 2.006921+0 1.566751-1 1.063723+0 2.398833-1 3.450264-1 2.951209-1 2.008022-1 3.507519-1 1.287583-1 4.073803-1 8.825136-2 4.677351-1 6.276181-2 5.308844-1 4.625747-2 6.000000-1 3.470000-2 6.760830-1 2.642477-2 7.585776-1 2.046932-2 8.609938-1 1.558060-2 9.549926-1 1.255733-2 1.059254+0 1.020243-2 1.202264+0 7.966107-3 1.348963+0 6.405194-3 1.513561+0 5.185493-3 1.717908+0 4.142567-3 1.949845+0 3.334749-3 2.213095+0 2.704298-3 2.511886+0 2.209165-3 2.884032+0 1.785401-3 3.349654+0 1.428784-3 3.890451+0 1.152127-3 4.570882+0 9.208513-4 5.370318+0 7.415700-4 6.531306+0 5.750318-4 7.762471+0 4.628401-4 9.549926+0 3.595127-4 1.188502+1 2.775266-4 1.513561+1 2.101367-4 1.995262+1 1.542637-4 2.660725+1 1.126404-4 3.845918+1 7.598672-5 5.821032+1 4.925084-5 9.660509+1 2.922522-5 1.883649+2 1.482084-5 3.758374+2 7.381137-6 1.496236+3 1.845940-6 1.000000+5 2.757500-8 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 4.042000-4 6.824400-5 1.000000+5 6.824400-5 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.042000-4 1.978100-8 1.000000+5 1.978100-8 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.042000-4 3.359362-4 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 3.293800-4 7.572389+4 4.623810-4 7.165940+4 5.011872-4 7.020425+4 5.432503-4 6.832781+4 5.821032-4 6.630528+4 6.237348-4 6.390918+4 6.700000-4 6.103360+4 7.328245-4 5.712416+4 7.943282-4 5.343304+4 8.609938-4 4.957451+4 9.500000-4 4.485260+4 1.035142-3 4.081225+4 1.135011-3 3.659318+4 1.258925-3 3.212248+4 1.380384-3 2.840140+4 1.531087-3 2.455160+4 1.698244-3 2.106834+4 1.905461-3 1.763331+4 2.113489-3 1.491602+4 2.371374-3 1.229591+4 2.660725-3 1.006051+4 3.000000-3 8.099940+3 3.400000-3 6.410340+3 3.845918-3 5.052579+3 4.365158-3 3.926064+3 4.954502-3 3.027952+3 5.623413-3 2.317957+3 6.382635-3 1.761521+3 7.328245-3 1.294629+3 8.317638-3 9.685960+2 9.400000-3 7.267640+2 1.059254-2 5.453416+2 1.202264-2 3.993632+2 1.364583-2 2.904871+2 1.548817-2 2.098621+2 1.778279-2 1.460758+2 2.041738-2 1.009191+2 2.344229-2 6.921774+1 2.722701-2 4.565130+1 3.162278-2 2.987613+1 3.715352-2 1.877033+1 4.415704-2 1.131464+1 5.248075-2 6.768289+0 6.456542-2 3.620774+0 8.317638-2 1.670793+0 1.216186-1 5.187610-1 1.621810-1 2.142898-1 2.000000-1 1.133290-1 2.371374-1 6.796965-2 2.754229-1 4.367192-2 3.162278-1 2.923371-2 3.589219-1 2.037333-2 4.027170-1 1.476801-2 4.518559-1 1.077984-2 5.069907-1 7.926471-3 5.688529-1 5.873976-3 6.309573-1 4.516893-3 6.998420-1 3.497590-3 7.762471-1 2.728075-3 8.709636-1 2.082099-3 9.332543-1 1.781617-3 1.000000+0 1.535391-3 1.096478+0 1.272179-3 1.202264+0 1.062096-3 1.318257+0 8.932150-4 1.479108+0 7.253235-4 1.717908+0 5.563921-4 1.949845+0 4.476706-4 2.213095+0 3.630176-4 2.511886+0 2.965517-4 2.884032+0 2.396666-4 3.349654+0 1.917936-4 3.890451+0 1.546564-4 4.570882+0 1.236175-4 5.370318+0 9.955144-5 6.531306+0 7.719175-5 7.762471+0 6.213158-5 9.549926+0 4.826069-5 1.188502+1 3.725478-5 1.513561+1 2.820796-5 1.972423+1 2.097431-5 2.600160+1 1.550097-5 3.758374+1 1.045183-5 5.623413+1 6.852837-6 9.332543+1 4.064324-6 1.798871+2 2.084435-6 3.589219+2 1.037819-6 1.428894+3 2.594908-7 1.000000+5 3.701700-9 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 3.293800-4 5.229200-5 1.000000+5 5.229200-5 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.293800-4 2.302900-8 1.000000+5 2.302900-8 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.293800-4 2.770650-4 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 2.915600-4 2.934768+5 3.935501-4 2.542906+5 4.122800-4 2.479020+5 4.700000-4 2.280704+5 5.069907-4 2.156714+5 5.500000-4 2.017324+5 5.956621-4 1.874755+5 6.531306-4 1.709719+5 7.161434-4 1.548476+5 7.852356-4 1.391038+5 8.709636-4 1.223624+5 9.549926-4 1.084566+5 1.070000-3 9.267880+4 1.190000-3 7.941000+4 1.333521-3 6.676582+4 1.496236-3 5.558895+4 1.678804-3 4.593912+4 1.900000-3 3.711792+4 2.137962-3 3.005922+4 2.400000-3 2.428040+4 2.722701-3 1.908652+4 3.090295-3 1.487328+4 3.507519-3 1.150113+4 4.000000-3 8.739400+3 4.570882-3 6.559521+3 5.248075-3 4.833016+3 6.025596-3 3.530099+3 6.839116-3 2.626654+3 7.673615-3 1.995213+3 8.746820-3 1.448744+3 9.885531-3 1.066162+3 1.122018-2 7.706903+2 1.273503-2 5.530973+2 1.445440-2 3.941406+2 1.640590-2 2.789197+2 1.883649-2 1.898062+2 2.162719-2 1.281571+2 2.483133-2 8.588011+1 2.851018-2 5.713484+1 3.273407-2 3.774614+1 3.801894-2 2.391251+1 4.466836-2 1.450933+1 5.248075-2 8.737577+0 6.309573-2 4.855122+0 7.673615-2 2.580726+0 1.035142-1 9.708422-1 1.566751-1 2.501325-1 1.905461-1 1.326063-1 2.238721-1 7.915998-2 2.570396-1 5.121021-2 2.917427-1 3.458989-2 3.273407-1 2.437512-2 3.672823-1 1.730312-2 4.073803-1 1.280119-2 4.518559-1 9.541373-3 5.011872-1 7.165381-3 5.559043-1 5.423647-3 6.095369-1 4.263216-3 6.683439-1 3.373360-3 7.328245-1 2.687248-3 8.317638-1 1.984738-3 9.015711-1 1.646626-3 9.660509-1 1.413204-3 1.035142+0 1.222493-3 1.135011+0 1.015768-3 1.250000+0 8.432067-4 1.380384+0 7.020771-4 1.678804+0 4.952979-4 1.905461+0 3.979852-4 2.162719+0 3.222817-4 2.454709+0 2.629400-4 2.818383+0 2.122295-4 3.273407+0 1.696291-4 3.801894+0 1.366241-4 4.466836+0 1.090803-4 5.248075+0 8.775350-5 6.309573+0 6.899287-5 7.498942+0 5.545076-5 9.225714+0 4.301606-5 1.148154+1 3.316655-5 1.445440+1 2.541832-5 1.905461+1 1.863264-5 2.483133+1 1.393465-5 3.589219+1 9.383924-6 5.248075+1 6.296029-6 8.709636+1 3.730144-6 1.640590+2 1.956556-6 3.273407+2 9.735425-7 1.303167+3 2.433191-7 1.000000+5 3.165100-9 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 2.915600-4 4.724500-5 1.000000+5 4.724500-5 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.915600-4 1.173100-8 1.000000+5 1.173100-8 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 2.915600-4 2.443033-4 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.670700-4 3.140540+5 1.675000-4 3.202200+5 1.682000-4 3.323316+5 1.690000-4 3.484320+5 1.722000-4 4.270720+5 1.733000-4 4.555000+5 1.744000-4 4.825560+5 1.751000-4 4.985160+5 1.762000-4 5.208360+5 1.770000-4 5.345200+5 1.778279-4 5.461906+5 1.788000-4 5.565160+5 1.798871-4 5.637418+5 1.810000-4 5.666760+5 1.820000-4 5.658480+5 1.831500-4 5.613990+5 1.846000-4 5.514960+5 1.862087-4 5.363176+5 1.880000-4 5.159280+5 1.900000-4 4.908120+5 1.922000-4 4.618600+5 1.950000-4 4.249880+5 1.980000-4 3.868684+5 2.020000-4 3.397552+5 2.120000-4 2.453596+5 2.162719-4 2.156587+5 2.190000-4 1.997988+5 2.220000-4 1.849308+5 2.250000-4 1.725320+5 2.270000-4 1.655092+5 2.300000-4 1.566592+5 2.323000-4 1.511276+5 2.350000-4 1.458748+5 2.373000-4 1.423536+5 2.400000-4 1.392348+5 2.430000-4 1.368776+5 2.454709-4 1.357346+5 2.490000-4 1.351964+5 2.520000-4 1.356192+5 2.550000-4 1.367364+5 2.580000-4 1.384492+5 2.620000-4 1.415072+5 2.670000-4 1.463284+5 2.730000-4 1.531800+5 3.000000-4 1.902440+5 3.100000-4 2.042408+5 3.200000-4 2.175472+5 3.311311-4 2.311254+5 3.427678-4 2.437440+5 3.550000-4 2.551760+5 3.672823-4 2.648675+5 3.801894-4 2.732803+5 3.935501-4 2.802098+5 4.073803-4 2.855885+5 4.216965-4 2.893785+5 4.365158-4 2.916238+5 4.550000-4 2.924600+5 4.764600-4 2.912939+5 5.000000-4 2.879244+5 5.248075-4 2.824552+5 5.500000-4 2.754620+5 5.821032-4 2.651571+5 6.165950-4 2.532038+5 6.531306-4 2.400667+5 6.918310-4 2.260246+5 7.413102-4 2.085805+5 7.943282-4 1.909806+5 8.511380-4 1.735113+5 9.120108-4 1.565553+5 9.772372-4 1.403527+5 1.047129-3 1.250302+5 1.135011-3 1.084656+5 1.230269-3 9.339437+4 1.333521-3 7.984059+4 1.450000-3 6.736200+4 1.584893-3 5.580086+4 1.717908-3 4.675385+4 1.900000-3 3.717480+4 2.089296-3 2.970578+4 2.290868-3 2.373756+4 2.540973-3 1.830212+4 2.818383-3 1.399889+4 3.162278-3 1.030111+4 3.548134-3 7.512233+3 4.000000-3 5.358280+3 4.466836-3 3.893830+3 4.954502-3 2.865888+3 5.559043-3 2.022890+3 6.237348-3 1.417240+3 7.000000-3 9.844160+2 7.852356-3 6.794331+2 8.810489-3 4.651939+2 9.885531-3 3.161784+2 1.109175-2 2.134166+2 1.258925-2 1.374590+2 1.428894-2 8.787205+1 1.621810-2 5.577630+1 1.862087-2 3.371169+1 2.137962-2 2.022175+1 2.483133-2 1.153196+1 2.884032-2 6.527232+0 3.388442-2 3.509114+0 4.073803-2 1.712724+0 5.069907-2 7.246315-1 1.035142-1 4.283191-2 1.258925-1 1.985473-2 1.496236-1 1.014667-2 1.737801-1 5.711213-3 2.000000-1 3.353481-3 2.264644-1 2.108177-3 2.570396-1 1.323201-3 2.884032-1 8.725471-4 3.235937-1 5.793811-4 3.589219-1 4.035797-4 3.981072-1 2.832557-4 4.365158-1 2.083444-4 4.786301-1 1.542398-4 5.308844-1 1.108089-4 5.821032-1 8.315178-5 6.456542-1 6.062773-5 7.079458-1 4.611725-5 7.673615-1 3.654118-5 8.609938-1 2.638169-5 9.120108-1 2.257635-5 9.549926-1 2.005018-5 1.000000+0 1.791900-5 1.047129+0 1.612808-5 1.096478+0 1.461307-5 1.161449+0 1.301981-5 1.230269+0 1.168112-5 1.333521+0 1.010283-5 1.479108+0 8.453493-6 1.840772+0 5.764518-6 2.044000+0 4.826900-6 2.317395+0 3.932038-6 2.630268+0 3.220271-6 3.019952+0 2.609115-6 3.507519+0 2.092876-6 4.073803+0 1.691351-6 4.786301+0 1.354824-6 5.688529+0 1.076886-6 6.839116+0 8.493995-7 8.317638+0 6.658477-7 1.023293+1 5.185030-7 1.288250+1 3.958405-7 1.640590+1 3.005574-7 2.162719+1 2.210695-7 2.917427+1 1.598063-7 4.120975+1 1.106521-7 6.456542+1 6.929005-8 1.096478+2 4.022016-8 2.187762+2 1.995283-8 4.365158+2 9.945478-9 1.737801+3 2.488732-9 1.000000+5 4.31920-11 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.670700-4 3.057600-5 1.000000+5 3.057600-5 1 66000 7 7 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.670700-4 1.682900-8 1.000000+5 1.682900-8 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.670700-4 1.364772-4 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.602400-4 4.523934+5 1.609000-4 4.737216+5 1.640590-4 6.001217+5 1.650900-4 6.446288+5 1.661000-4 6.873120+5 1.669000-4 7.194660+5 1.678804-4 7.557911+5 1.687000-4 7.828140+5 1.695000-4 8.056860+5 1.704200-4 8.272737+5 1.711000-4 8.398260+5 1.719000-4 8.508420+5 1.730000-4 8.595360+5 1.740000-4 8.613900+5 1.750000-4 8.581020+5 1.761000-4 8.493900+5 1.773400-4 8.343653+5 1.785000-4 8.164440+5 1.800000-4 7.893120+5 1.820000-4 7.488780+5 1.842000-4 7.018980+5 1.865000-4 6.525420+5 1.900000-4 5.803398+5 1.940000-4 5.049720+5 2.041738-4 3.551118+5 2.080000-4 3.143856+5 2.113489-4 2.851405+5 2.142000-4 2.645370+5 2.170000-4 2.477736+5 2.190000-4 2.377206+5 2.213095-4 2.279234+5 2.240000-4 2.187330+5 2.264644-4 2.122005+5 2.290868-4 2.070264+5 2.317395-4 2.034528+5 2.344229-4 2.013434+5 2.371374-4 2.005702+5 2.400000-4 2.010558+5 2.430000-4 2.028096+5 2.465000-4 2.062260+5 2.500000-4 2.108736+5 2.540973-4 2.175709+5 2.600160-4 2.290424+5 2.851018-4 2.878295+5 2.951209-4 3.118215+5 3.054921-4 3.354560+5 3.150000-4 3.555096+5 3.240000-4 3.727650+5 3.350000-4 3.913980+5 3.470000-4 4.086816+5 3.600000-4 4.240866+5 3.715352-4 4.351423+5 3.850000-4 4.452204+5 4.000000-4 4.531524+5 4.168694-4 4.583410+5 4.350000-4 4.601790+5 4.550000-4 4.586778+5 4.786301-4 4.533462+5 5.011872-4 4.455086+5 5.248075-4 4.349661+5 5.500000-4 4.220532+5 5.821032-4 4.041232+5 6.165950-4 3.838575+5 6.531306-4 3.620478+5 6.918310-4 3.393813+5 7.328245-4 3.163294+5 7.852356-4 2.885545+5 8.413951-4 2.613420+5 9.015711-4 2.351352+5 9.700000-4 2.086992+5 1.047129-3 1.829823+5 1.122018-3 1.614780+5 1.216186-3 1.386370+5 1.318257-3 1.181879+5 1.450000-3 9.704700+4 1.570000-3 8.174460+4 1.717908-3 6.686773+4 1.905461-3 5.257134+4 2.070000-3 4.309260+4 2.264644-3 3.452789+4 2.540973-3 2.575122+4 2.851018-3 1.901828+4 3.198895-3 1.391498+4 3.589219-3 1.009083+4 4.027170-3 7.254537+3 4.518559-3 5.170784+3 5.011872-3 3.786080+3 5.623413-3 2.657132+3 6.309573-3 1.850259+3 7.000000-3 1.325898+3 7.852356-3 9.100539+2 8.810489-3 6.195833+2 9.885531-3 4.186380+2 1.109175-2 2.808536+2 1.258925-2 1.796373+2 1.428894-2 1.140050+2 1.621810-2 7.182032+1 1.840772-2 4.492747+1 2.089296-2 2.791476+1 2.398833-2 1.648829+1 2.786121-2 9.247559+0 3.235937-2 5.147123+0 3.845918-2 2.596470+0 4.677351-2 1.185434+0 5.956621-2 4.459742-1 9.549926-2 6.531309-2 1.161449-1 2.963848-2 1.364583-1 1.556854-2 1.584893-1 8.626936-3 1.798871-1 5.271317-3 2.018366-1 3.390703-3 2.264644-1 2.196698-3 2.511886-1 1.496396-3 2.786121-1 1.026520-3 3.054921-1 7.390694-4 3.349654-1 5.357413-4 3.672823-1 3.912763-4 4.000000-1 2.945865-4 4.365158-1 2.222910-4 4.786301-1 1.664979-4 5.248075-1 1.256078-4 5.688529-1 9.875133-5 6.165950-1 7.814322-5 6.683439-1 6.226944-5 7.244360-1 4.996089-5 7.852356-1 4.036370-5 8.609938-1 3.176433-5 9.120108-1 2.751803-5 9.660509-1 2.400665-5 1.011579+0 2.165149-5 1.071519+0 1.915569-5 1.148154+0 1.666049-5 1.230269+0 1.458958-5 1.333521+0 1.258290-5 1.778279+0 7.579850-6 2.000000+0 6.202600-6 2.264644+0 5.056758-6 2.570396+0 4.136161-6 2.951209+0 3.346977-6 3.427678+0 2.681622-6 4.000000+0 2.150400-6 4.677351+0 1.732109-6 5.495409+0 1.396355-6 6.683439+0 1.083853-6 8.035261+0 8.608902-7 9.772372+0 6.788172-7 1.216186+1 5.244167-7 1.548817+1 3.973944-7 2.018366+1 2.956428-7 2.691535+1 2.159519-7 3.845918+1 1.474933-7 5.821032+1 9.559662-8 9.660509+1 5.672569-8 1.883649+2 2.876712-8 3.758374+2 1.432706-8 1.496236+3 3.582906-9 1.000000+5 5.35230-11 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.602400-4 2.867000-5 1.000000+5 2.867000-5 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.602400-4 1.315700-4 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 1.062000-5 5.093181+5 1.096478-5 4.842797+5 1.135011-5 4.607208+5 1.180000-5 4.384281+5 1.230269-5 4.190190+5 1.273503-5 4.061278+5 1.320000-5 3.958346+5 1.370000-5 3.881782+5 1.420000-5 3.835998+5 1.470000-5 3.818298+5 1.515000-5 3.823569+5 1.570000-5 3.854358+5 1.630000-5 3.914915+5 1.690000-5 4.000963+5 1.757924-5 4.126114+5 1.830000-5 4.288367+5 1.905461-5 4.488214+5 1.995262-5 4.762951+5 2.089296-5 5.089514+5 2.190000-5 5.479709+5 2.317395-5 6.026037+5 2.511886-5 6.963592+5 3.090295-5 1.023936+6 3.349654-5 1.180973+6 3.589219-5 1.324684+6 3.801894-5 1.448694+6 4.027170-5 1.574619+6 4.300000-5 1.718313+6 4.570882-5 1.851610+6 4.900000-5 2.002001+6 5.248075-5 2.147809+6 5.688529-5 2.314979+6 6.095369-5 2.451802+6 6.531306-5 2.577748+6 6.918310-5 2.671600+6 7.328245-5 2.750637+6 7.800000-5 2.818013+6 8.300000-5 2.865516+6 8.912509-5 2.895470+6 9.549926-5 2.905232+6 1.047129-4 2.890716+6 1.122018-4 2.861485+6 1.216186-4 2.806207+6 1.300000-4 2.739919+6 1.396368-4 2.651533+6 1.513561-4 2.530556+6 1.620000-4 2.416699+6 1.737801-4 2.289894+6 1.862087-4 2.155071+6 1.980000-4 2.029494+6 2.137962-4 1.865070+6 2.290868-4 1.714153+6 2.426610-4 1.589683+6 2.600160-4 1.441744+6 2.754229-4 1.320681+6 2.917427-4 1.203344+6 3.126079-4 1.067947+6 3.349654-4 9.411161+5 3.589219-4 8.229605+5 3.845918-4 7.143352+5 4.122800-4 6.150811+5 4.415704-4 5.270799+5 4.731513-4 4.483221+5 5.128614-4 3.683250+5 5.559043-4 3.002271+5 6.025596-4 2.428732+5 6.531306-4 1.950618+5 7.079458-4 1.556168+5 7.673615-4 1.233789+5 8.413951-4 9.393195+4 9.225714-4 7.097205+4 1.011579-3 5.323748+4 1.122018-3 3.822965+4 1.244515-3 2.723556+4 1.380384-3 1.925521+4 1.531087-3 1.351346+4 1.698244-3 9.417317+3 1.883649-3 6.517741+3 2.113489-3 4.296947+3 2.371374-3 2.810744+3 2.660725-3 1.824449+3 2.985383-3 1.175379+3 3.349654-3 7.517397+2 3.758374-3 4.773555+2 4.216965-3 3.009834+2 4.786301-3 1.798019+2 5.370318-3 1.115123+2 6.095369-3 6.541982+1 6.918310-3 3.809089+1 7.852356-3 2.201144+1 8.912509-3 1.262704+1 1.011579-2 7.187021+0 1.161449-2 3.857294+0 1.348963-2 1.950329+0 1.621810-2 8.349639-1 1.883649-2 4.162109-1 2.162719-2 2.174180-1 2.540973-2 1.011501-1 3.054921-2 4.185443-2 3.845918-2 1.375785-2 6.683439-2 9.413939-4 8.222426-2 3.465627-4 9.772372-2 1.517505-4 1.135011-1 7.465549-5 1.303167-1 3.906892-5 1.479108-1 2.174053-5 1.659587-1 1.285571-5 1.862087-1 7.657856-6 2.089296-1 4.597183-6 2.317395-1 2.924846-6 2.570396-1 1.874202-6 2.851018-1 1.210069-6 3.198895-1 7.502500-7 3.467369-1 5.402069-7 3.758374-1 3.915568-7 4.027170-1 2.990048-7 4.365158-1 2.204918-7 4.786301-1 1.567839-7 5.495409-1 9.475163-8 6.095369-1 6.545595-8 6.606935-1 4.937352-8 7.079458-1 3.901590-8 7.498942-1 3.224042-8 8.609938-1 2.070205-8 9.015711-1 1.795270-8 9.332543-1 1.620373-8 9.660509-1 1.469734-8 1.000000+0 1.341100-8 1.035142+0 1.231919-8 1.071519+0 1.137715-8 1.122018+0 1.030783-8 1.174898+0 9.406307-9 1.244515+0 8.457228-9 1.333521+0 7.496500-9 1.513561+0 6.082451-9 1.883649+0 4.147950-9 2.089296+0 3.483747-9 2.371374+0 2.836646-9 2.722701+0 2.285086-9 3.162278+0 1.823107-9 3.672823+0 1.465924-9 4.315191+0 1.168421-9 5.069907+0 9.38424-10 6.095369+0 7.36764-10 7.244360+0 5.91265-10 8.912509+0 4.58073-10 1.109175+1 3.52754-10 1.400000+1 2.69270-10 1.819701+1 2.00278-10 2.371374+1 1.49638-10 3.311311+1 1.04424-10 4.731513+1 7.16447-11 7.762471+1 4.28802-11 1.428894+2 2.29889-11 2.851018+2 1.14282-11 1.135011+3 2.85399-12 1.000000+5 3.23260-14 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 1.062000-5 1.062000-5 1.000000+5 1.062000-5 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.062000-5 0.0 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 9.660000-6 7.404690+5 9.800000-6 7.214463+5 1.020000-5 6.767148+5 1.060000-5 6.408748+5 1.100000-5 6.120290+5 1.135011-5 5.920349+5 1.180000-5 5.719319+5 1.221400-5 5.584818+5 1.258925-5 5.498893+5 1.303167-5 5.434769+5 1.350000-5 5.405575+5 1.400000-5 5.412878+5 1.445440-5 5.450219+5 1.500000-5 5.529313+5 1.550000-5 5.631210+5 1.610000-5 5.786633+5 1.678804-5 6.004905+5 1.757924-5 6.303235+5 1.840772-5 6.663973+5 1.927525-5 7.090029+5 2.041738-5 7.718739+5 2.162719-5 8.459555+5 2.344229-5 9.695462+5 2.917427-5 1.425874+6 3.162278-5 1.634560+6 3.388442-5 1.825076+6 3.630781-5 2.022721+6 3.845918-5 2.190392+6 4.073803-5 2.357506+6 4.365158-5 2.556371+6 4.677351-5 2.752662+6 5.011872-5 2.943815+6 5.432503-5 3.161916+6 5.821032-5 3.339844+6 6.237348-5 3.506293+6 6.650000-5 3.644277+6 7.079458-5 3.757413+6 7.500000-5 3.840963+6 7.943282-5 3.899836+6 8.511380-5 3.942151+6 9.120108-5 3.954304+6 9.900000-5 3.939112+6 1.080000-4 3.889060+6 1.150000-4 3.834054+6 1.244515-4 3.735857+6 1.318257-4 3.644492+6 1.428894-4 3.491329+6 1.548817-4 3.312865+6 1.650000-4 3.161254+6 1.778279-4 2.970195+6 1.905461-4 2.781549+6 2.018366-4 2.618612+6 2.162719-4 2.417854+6 2.317395-4 2.215123+6 2.454709-4 2.048703+6 2.630268-4 1.852758+6 2.820000-4 1.660013+6 3.000000-4 1.494950+6 3.198895-4 1.332362+6 3.427678-4 1.169167+6 3.672823-4 1.018821+6 3.935501-4 8.816540+5 4.216965-4 7.574057+5 4.518559-4 6.462756+5 4.841724-4 5.479449+5 5.188000-4 4.617229+5 5.623413-4 3.753554+5 6.095369-4 3.029006+5 6.606934-4 2.427390+5 7.161434-4 1.932790+5 7.852356-4 1.478496+5 8.609938-4 1.123152+5 9.440609-4 8.472324+4 1.035142-3 6.345569+4 1.122018-3 4.898116+4 1.230269-3 3.618632+4 1.364583-3 2.554401+4 1.513561-3 1.790087+4 1.678804-3 1.245802+4 1.862087-3 8.610986+3 2.089296-3 5.670073+3 2.344229-3 3.704720+3 2.630268-3 2.402093+3 2.951209-3 1.545838+3 3.311311-3 9.879359+2 3.715352-3 6.266158+2 4.120975-3 4.130186+2 4.623810-3 2.576686+2 5.188000-3 1.595185+2 5.821032-3 9.805490+1 6.683439-3 5.423574+1 7.585776-3 3.129382+1 8.609938-3 1.792416+1 9.660509-3 1.072899+1 1.109175-2 5.750543+0 1.273503-2 3.059409+0 1.513561-2 1.378965+0 1.757924-2 6.861779-1 2.041738-2 3.390208-1 2.317395-2 1.855486-1 2.754229-2 8.084371-2 3.349654-2 3.127369-2 4.315191-2 9.067310-3 6.839116-2 9.490326-4 8.912509-2 2.612486-4 1.035142-1 1.268275-4 1.188502-1 6.555694-5 1.348963-1 3.606836-5 1.513561-1 2.110358-5 1.678804-1 1.311460-5 1.862087-1 8.207369-6 2.065380-1 5.175976-6 2.264644-1 3.459669-6 2.483133-1 2.328431-6 2.722701-1 1.578718-6 2.951209-1 1.131221-6 3.198895-1 8.159193-7 3.467369-1 5.927324-7 3.758374-1 4.339373-7 3.981072-1 3.492054-7 4.315191-1 2.596868-7 4.677351-1 1.946601-7 5.069907-1 1.469976-7 5.495409-1 1.117198-7 5.956621-1 8.556235-8 6.447400-1 6.635300-8 6.918310-1 5.326555-8 7.413102-1 4.322795-8 7.943282-1 3.531714-8 8.511380-1 2.893771-8 9.015711-1 2.467995-8 9.440609-1 2.186197-8 9.885531-1 1.949046-8 1.035142+0 1.750343-8 1.083927+0 1.583026-8 1.135011+0 1.440398-8 1.202264+0 1.289010-8 1.318257+0 1.090416-8 1.531087+0 8.424441-9 1.840772+0 6.099405-9 2.044000+0 5.107400-9 2.317395+0 4.160685-9 2.630268+0 3.407478-9 3.019952+0 2.760703-9 3.507519+0 2.214539-9 4.073803+0 1.789687-9 4.786301+0 1.433531-9 5.688529+0 1.139472-9 6.839116+0 8.98743-10 8.317638+0 7.04532-10 1.023293+1 5.48625-10 1.288250+1 4.18840-10 1.640590+1 3.18018-10 2.187762+1 2.30969-10 2.951209+1 1.67009-10 4.168694+1 1.15676-10 6.531306+1 7.24473-11 1.122018+2 4.15687-11 2.238721+2 2.06255-11 4.466836+2 1.02825-11 3.548134+3 1.28879-12 1.000000+5 4.57010-14 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 9.660000-6 9.660000-6 1.000000+5 9.660000-6 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 9.660000-6 0.0 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 5.367000-5 5.134400+4 5.432503-5 5.099309+4 5.530000-5 5.080080+4 5.623413-5 5.092761+4 5.740000-5 5.141220+4 5.850000-5 5.218400+4 6.000000-5 5.357640+4 6.165950-5 5.547564+4 6.400000-5 5.859000+4 7.000000-5 6.731220+4 7.328245-5 7.190506+4 7.673615-5 7.631104+4 8.000000-5 7.996420+4 8.317638-5 8.298477+4 8.650000-5 8.557500+4 9.015711-5 8.776613+4 9.400000-5 8.938220+4 9.800000-5 9.041480+4 1.023293-4 9.091955+4 1.080000-4 9.084240+4 1.135011-4 9.018803+4 1.202600-4 8.885628+4 1.288250-4 8.664146+4 1.380384-4 8.385917+4 1.480000-4 8.055380+4 1.584893-4 7.687804+4 1.704200-4 7.264165+4 1.862087-4 6.723219+4 2.065380-4 6.089821+4 2.290868-4 5.474757+4 2.540973-4 4.883052+4 2.884032-4 4.208593+4 3.311311-4 3.551735+4 3.758374-4 3.018089+4 4.466836-4 2.396982+4 5.248075-4 1.917239+4 6.200000-4 1.511716+4 7.500000-4 1.142750+4 9.015711-4 8.648733+3 1.071519-3 6.613398+3 1.273503-3 5.022339+3 1.513561-3 3.787665+3 1.819701-3 2.781600+3 2.187762-3 2.027064+3 2.630268-3 1.466324+3 3.162278-3 1.052826+3 3.845918-3 7.349783+2 4.731513-3 4.984014+2 5.888437-3 3.281226+2 7.161434-3 2.240783+2 8.709636-3 1.518939+2 1.059254-2 1.021816+2 1.273503-2 6.984482+1 1.531087-2 4.738162+1 1.840772-2 3.188781+1 2.290868-2 1.976378+1 2.722701-2 1.345431+1 3.126079-2 9.832051+0 3.672823-2 6.763289+0 4.315191-2 4.618722+0 5.128614-2 3.045978+0 6.095369-2 1.993679+0 7.328245-2 1.258845+0 8.609938-2 8.363302-1 1.059254-1 4.903202-1 1.364583-1 2.531707-1 2.426610-1 5.540813-2 3.000000-1 3.186100-2 3.548134-1 2.070110-2 4.073803-1 1.461117-2 4.677351-1 1.039139-2 5.308844-1 7.659041-3 6.000000-1 5.745600-3 6.760830-1 4.375522-3 7.585776-1 3.389462-3 8.609938-1 2.580001-3 9.549926-1 2.079357-3 1.059254+0 1.689329-3 1.202264+0 1.319048-3 1.348963+0 1.060610-3 1.513561+0 8.586535-4 1.717908+0 6.859503-4 1.949845+0 5.521813-4 2.213095+0 4.477886-4 2.511886+0 3.658033-4 2.884032+0 2.956353-4 3.349654+0 2.365838-4 3.890451+0 1.907731-4 4.570882+0 1.524799-4 5.370318+0 1.227963-4 6.531306+0 9.521800-5 7.762471+0 7.664019-5 9.549926+0 5.953024-5 1.188502+1 4.595474-5 1.513561+1 3.479540-5 1.972423+1 2.587195-5 2.600160+1 1.912073-5 3.758374+1 1.289269-5 5.623413+1 8.453025-6 9.332543+1 5.013387-6 1.819701+2 2.541373-6 3.630781+2 1.265409-6 1.445440+3 3.164178-7 1.000000+5 4.566000-9 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 5.367000-5 5.367000-5 1.000000+5 5.367000-5 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 5.367000-5 0.0 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 3.306000-5 8.479960+6 3.370000-5 7.693420+6 3.427678-5 7.085572+6 3.520000-5 6.273740+6 3.630781-5 5.490857+6 3.758374-5 4.768103+6 3.935501-5 3.983189+6 4.265795-5 2.935223+6 4.954502-5 1.670105+6 6.025596-5 7.930606+5 6.606934-5 5.616860+5 7.161434-5 4.180381+5 7.762471-5 3.133861+5 8.317638-5 2.464800+5 8.810489-5 2.030415+5 9.332543-5 1.684373+5 9.800000-5 1.446472+5 1.023293-4 1.271235+5 1.071519-4 1.114833+5 1.122018-4 9.843322+4 1.174898-4 8.752257+4 1.230269-4 7.837477+4 1.288400-4 7.065988+4 1.350000-4 6.407860+4 1.412538-4 5.867304+4 1.480000-4 5.394200+4 1.548817-4 5.001669+4 1.621810-4 4.660849+4 1.720000-4 4.292760+4 1.820000-4 3.994520+4 1.950000-4 3.686180+4 2.113489-4 3.382337+4 2.317395-4 3.087928+4 2.660725-4 2.717771+4 3.507519-4 2.119456+4 4.122800-4 1.819674+4 4.731513-4 1.586957+4 5.432503-4 1.372639+4 6.200000-4 1.185970+4 7.079458-4 1.015890+4 8.035261-4 8.698494+3 9.120108-4 7.393574+3 1.023293-3 6.335922+3 1.161449-3 5.307667+3 1.318257-3 4.412956+3 1.496236-3 3.641068+3 1.678804-3 3.035807+3 1.905461-3 2.465807+3 2.162719-3 1.987645+3 2.454709-3 1.590240+3 2.786121-3 1.263001+3 3.162278-3 9.959354+2 3.589219-3 7.798079+2 4.073803-3 6.062968+2 4.623810-3 4.681398+2 5.248075-3 3.589470+2 6.000000-3 2.690117+2 6.839116-3 2.013837+2 7.762471-3 1.511030+2 8.810489-3 1.125845+2 9.885531-3 8.555280+1 1.135011-2 6.106684+1 1.318257-2 4.204379+1 1.621810-2 2.481575+1 1.862087-2 1.734159+1 2.065380-2 1.317448+1 2.344229-2 9.335307+0 2.691535-2 6.359335+0 3.162278-2 4.028061+0 3.715352-2 2.532238+0 4.415704-2 1.527357+0 5.248075-2 9.141739-1 6.382635-2 5.067427-1 8.128305-2 2.424663-1 1.566751-1 3.221977-2 1.927525-1 1.714175-2 2.317395-1 9.850516-3 2.691535-1 6.323163-3 3.090295-1 4.228101-3 3.507519-1 2.943027-3 3.981072-1 2.063639-3 4.466836-1 1.505414-3 5.011872-1 1.106138-3 5.623413-1 8.189520-4 6.237348-1 6.292045-4 6.918310-1 4.868171-4 7.673615-1 3.793954-4 8.609938-1 2.893475-4 9.225714-1 2.473228-4 9.885531-1 2.128658-4 1.071519+0 1.803084-4 1.174898+0 1.502515-4 1.288250+0 1.261233-4 1.428894+0 1.043836-4 1.698244+0 7.680663-5 1.927525+0 6.175713-5 2.187762+0 5.004217-5 2.483133+0 4.085355-5 2.851018+0 3.299661-5 3.311311+0 2.639017-5 3.845918+0 2.126807-5 4.518559+0 1.698943-5 5.308844+0 1.367470-5 6.456542+0 1.059853-5 7.673615+0 8.526668-6 9.440609+0 6.620218-6 1.174898+1 5.108525-6 1.496236+1 3.866528-6 1.972423+1 2.837607-6 2.600160+1 2.097261-6 3.758374+1 1.414122-6 5.623413+1 9.271483-7 9.332543+1 5.498723-7 1.798871+2 2.820061-7 3.589219+2 1.404055-7 1.428894+3 3.510798-8 1.000000+5 5.00810-10 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 3.306000-5 3.306000-5 1.000000+5 3.306000-5 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.306000-5 0.0 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.809000-5 1.901172+7 2.851018-5 1.750328+7 2.920000-5 1.544220+7 2.990000-5 1.374148+7 3.054921-5 1.242265+7 3.162278-5 1.064694+7 3.273407-5 9.188270+6 3.427678-5 7.605715+6 3.672823-5 5.780165+6 4.265795-5 3.229971+6 4.841724-5 1.984880+6 5.248075-5 1.465263+6 5.623413-5 1.137640+6 5.956621-5 9.274415+5 6.309573-5 7.614902+5 6.650000-5 6.406040+5 7.000000-5 5.451520+5 7.328245-5 4.752090+5 7.673615-5 4.169136+5 8.035261-5 3.685572+5 8.400000-5 3.297352+5 8.709636-5 3.028311+5 9.015711-5 2.805418+5 9.440609-5 2.551402+5 9.900000-5 2.332184+5 1.040000-4 2.141636+5 1.096478-4 1.969834+5 1.161449-4 1.812686+5 1.230269-4 1.679650+5 1.318257-4 1.544209+5 1.428894-4 1.411084+5 1.580000-4 1.271988+5 2.371374-4 8.581602+4 2.800000-4 7.251640+4 3.273407-4 6.142566+4 3.758374-4 5.263815+4 4.365158-4 4.417270+4 5.011872-4 3.728401+4 5.754399-4 3.123793+4 6.531306-4 2.638644+4 7.500000-4 2.179020+4 8.609938-4 1.785863+4 9.772372-4 1.478135+4 1.122018-3 1.193161+4 1.273503-3 9.735115+3 1.445440-3 7.887972+3 1.640590-3 6.345804+3 1.862087-3 5.069037+3 2.113489-3 4.020620+3 2.398833-3 3.166592+3 2.722701-3 2.476564+3 3.090295-3 1.923457+3 3.507519-3 1.483570+3 4.000000-3 1.124996+3 4.570882-3 8.430841+2 5.248075-3 6.204324+2 6.000000-3 4.573520+2 6.839116-3 3.368420+2 7.762471-3 2.487394+2 8.810489-3 1.823867+2 1.000000-2 1.327712+2 1.135011-2 9.595252+1 1.288250-2 6.884231+1 1.479108-2 4.753748+1 1.678804-2 3.361634+1 1.927525-2 2.286007+1 2.213095-2 1.542524+1 2.540973-2 1.033078+1 2.917427-2 6.869248+0 3.388442-2 4.380115+0 3.935501-2 2.771846+0 4.623810-2 1.679855+0 5.495409-2 9.744890-1 6.456542-2 5.822265-1 8.035261-2 2.868832-1 1.640590-1 2.787011-2 1.972423-1 1.536465-2 2.317395-1 9.188887-3 2.660725-1 5.956659-3 3.019952-1 4.032287-3 3.388442-1 2.847962-3 3.758374-1 2.096119-3 4.168694-1 1.553400-3 4.623810-1 1.159764-3 5.128614-1 8.724906-4 5.688529-1 6.616224-4 6.237348-1 5.210006-4 6.839117-1 4.130605-4 7.498942-1 3.297066-4 8.511380-1 2.439688-4 9.120108-1 2.081992-4 9.772372-1 1.789059-4 1.047129+0 1.549304-4 1.148154+0 1.288502-4 1.258925+0 1.079571-4 1.396368+0 8.922167-5 1.678804+0 6.427410-5 1.905461+0 5.164567-5 2.162719+0 4.181784-5 2.454709+0 3.411702-5 2.818383+0 2.753823-5 3.273407+0 2.201153-5 3.801894+0 1.772910-5 4.466836+0 1.415432-5 5.248075+0 1.138669-5 6.309573+0 8.952650-6 7.498942+0 7.195401-6 9.225714+0 5.581822-6 1.148154+1 4.303755-6 1.445440+1 3.298281-6 1.905461+1 2.417822-6 2.483133+1 1.808191-6 3.548134+1 1.232706-6 5.188000+1 8.268391-7 8.609938+1 4.897802-7 1.621810+2 2.568668-7 3.235937+2 1.277982-7 1.288250+3 3.194002-8 1.000000+5 4.10710-10 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.809000-5 2.809000-5 1.000000+5 2.809000-5 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.809000-5 0.0 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.350000-6 4.068140+6 5.500000-6 3.625120+6 6.000000-6 2.485360+6 6.531306-6 1.708049+6 7.079458-6 1.188440+6 7.700000-6 8.083340+5 8.317638-6 5.635783+5 9.015711-6 3.839680+5 9.885531-6 2.456647+5 1.174898-5 1.053897+5 1.244515-5 7.997321+4 1.290000-5 6.766180+4 1.333521-5 5.826659+4 1.382700-5 4.985496+4 1.420000-5 4.472180+4 1.462177-5 3.995957+4 1.500000-5 3.646420+4 1.531087-5 3.404701+4 1.570000-5 3.151580+4 1.610000-5 2.939120+4 1.650000-5 2.766800+4 1.690000-5 2.627820+4 1.730000-5 2.516580+4 1.770000-5 2.428420+4 1.815000-5 2.352100+4 1.862087-5 2.293462+4 1.905461-5 2.255115+4 1.950000-5 2.228480+4 2.000000-5 2.211000+4 2.070000-5 2.203680+4 2.150000-5 2.213060+4 2.238721-5 2.238078+4 2.371374-5 2.291437+4 2.800000-5 2.481000+4 3.019952-5 2.557126+4 3.235937-5 2.612410+4 3.467369-5 2.649522+4 3.672823-5 2.664569+4 3.900000-5 2.663760+4 4.168694-5 2.644032+4 4.466836-5 2.604153+4 4.786301-5 2.544679+4 5.128614-5 2.467199+4 5.500000-5 2.373300+4 5.900000-5 2.268020+4 6.382635-5 2.139792+4 6.918310-5 2.001264+4 7.673615-5 1.821575+4 8.511380-5 1.645594+4 9.800000-5 1.421030+4 1.174898-4 1.165119+4 1.584893-4 8.312635+3 1.798871-4 7.165348+3 2.018366-4 6.218072+3 2.264644-4 5.337736+3 2.600160-4 4.408218+3 4.120975-4 2.292939+3 5.011872-4 1.723761+3 7.244360-4 9.909902+2 8.413951-4 7.863070+2 1.071519-3 5.365298+2 1.303167-3 3.908865+2 1.566751-3 2.880640+2 1.905461-3 2.048188+2 2.426610-3 1.347875+2 2.951209-3 9.541875+1 3.507519-3 6.972855+1 4.265795-3 4.848803+1 5.308844-3 3.203741+1 6.531306-3 2.148133+1 7.943282-3 1.461758+1 9.660509-3 9.872464+0 1.161449-2 6.774801+0 1.396368-2 4.614863+0 1.659587-2 3.197196+0 1.972423-2 2.199522+0 2.344229-2 1.502415+0 2.786121-2 1.018715+0 3.273407-2 7.039036-1 3.890451-2 4.701326-1 4.623810-2 3.116067-1 5.432503-2 2.107679-1 6.456542-2 1.376219-1 7.762471-2 8.669091-2 9.332543-2 5.415673-2 1.174898-1 2.982105-2 1.531088-1 1.489532-2 2.371374-1 4.688840-3 2.917427-1 2.729000-3 3.467369-1 1.749645-3 4.027170-1 1.198954-3 4.623810-1 8.524937-4 5.248075-1 6.282638-4 5.888437-1 4.793200-4 6.606935-1 3.684259-4 7.413102-1 2.853307-4 8.317638-1 2.226857-4 9.225714-1 1.793964-4 1.023293+0 1.455843-4 1.188502+0 1.085807-4 1.333521+0 8.722417-5 1.500000+0 7.021300-5 1.698244+0 5.630173-5 1.927525+0 4.529391-5 2.187762+0 3.670745-5 2.483133+0 2.996747-5 2.851018+0 2.420329-5 3.311311+0 1.935726-5 3.845918+0 1.560036-5 4.518559+0 1.246194-5 5.308844+0 1.003048-5 6.456542+0 7.774042-6 7.673615+0 6.254325-6 9.440609+0 4.855970-6 1.174898+1 3.747162-6 1.496236+1 2.836090-6 1.972423+1 2.081391-6 2.600160+1 1.538298-6 3.758374+1 1.037225-6 5.623413+1 6.800641-7 9.332543+1 4.033313-7 1.798871+2 2.068529-7 3.589219+2 1.029895-7 1.428894+3 2.575166-8 1.000000+5 3.67350-10 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.350000-6 5.350000-6 1.000000+5 5.350000-6 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.350000-6 0.0 1.000000+5 1.000000+5 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.348350-7 1.026600+0 1.067320-6 1.027100+0 1.452120-6 1.027500+0 1.818760-6 1.028100+0 2.476210-6 1.028750+0 3.348350-6 1.029500+0 4.582310-6 1.030100+0 5.762810-6 1.031000+0 7.885480-6 1.032000+0 1.078930-5 1.033200+0 1.511400-5 1.034000+0 1.855380-5 1.035300+0 2.518420-5 1.036640+0 3.348350-5 1.038200+0 4.518710-5 1.039700+0 5.870700-5 1.041500+0 7.810900-5 1.043800+0 1.084180-4 1.046400+0 1.508430-4 1.048300+0 1.878040-4 1.051200+0 2.547520-4 1.054080+0 3.348350-4 1.057700+0 4.564030-4 1.061100+0 5.936670-4 1.065100+0 7.859540-4 1.070400+0 1.096490-3 1.076200+0 1.515360-3 1.080600+0 1.892430-3 1.087100+0 2.549720-3 1.093710+0 3.348350-3 1.102600+0 4.642230-3 1.110700+0 6.054050-3 1.120600+0 8.097880-3 1.133300+0 1.125850-2 1.147500+0 1.554370-2 1.158200+0 1.931680-2 1.174100+0 2.581970-2 1.190110+0 3.348350-2 1.205100+0 4.169350-2 1.227500+0 5.581820-2 1.250000+0 7.209000-2 1.265600+0 8.444860-2 1.294900+0 1.097570-1 1.320600+0 1.338880-1 1.343000+0 1.561420-1 1.382200+0 1.973340-1 1.433800+0 2.549600-1 1.500000+0 3.338000-1 1.562500+0 4.136310-1 1.617200+0 4.875090-1 1.712900+0 6.241950-1 1.838500+0 8.139590-1 1.946200+0 9.813110-1 2.000000+0 1.065000+0 2.044000+0 1.133000+0 2.163500+0 1.316710+0 2.372600+0 1.633400+0 2.647100+0 2.035620+0 3.000000+0 2.527000+0 3.500000+0 3.174020+0 4.000000+0 3.769000+0 4.750000+0 4.575250+0 5.000000+0 4.824000+0 6.000000+0 5.732000+0 7.000000+0 6.534000+0 8.000000+0 7.254000+0 9.000000+0 7.909000+0 1.000000+1 8.509000+0 1.100000+1 9.064000+0 1.200000+1 9.579000+0 1.300000+1 1.006000+1 1.400000+1 1.051000+1 1.500000+1 1.092000+1 1.600000+1 1.131000+1 1.800000+1 1.201000+1 2.000000+1 1.263000+1 2.200000+1 1.320000+1 2.400000+1 1.371000+1 2.600000+1 1.418000+1 2.800000+1 1.461000+1 3.000000+1 1.500000+1 4.000000+1 1.662000+1 5.000000+1 1.782000+1 6.000000+1 1.876000+1 8.000000+1 2.013000+1 1.000000+2 2.111000+1 1.500000+2 2.265000+1 2.000000+2 2.356000+1 3.000000+2 2.463000+1 4.000000+2 2.524000+1 5.000000+2 2.564000+1 6.000000+2 2.593000+1 8.000000+2 2.631000+1 1.000000+3 2.655000+1 1.500000+3 2.691000+1 2.000000+3 2.710000+1 3.000000+3 2.731000+1 4.000000+3 2.743000+1 5.000000+3 2.750000+1 6.000000+3 2.755000+1 8.000000+3 2.761000+1 1.000000+4 2.765000+1 1.500000+4 2.771000+1 2.000000+4 2.774000+1 3.000000+4 2.777000+1 4.000000+4 2.779000+1 5.000000+4 2.780000+1 6.000000+4 2.781000+1 8.000000+4 2.781000+1 1.000000+5 2.782000+1 1 66000 7 8 1.625000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 6.612740-7 2.094700+0 1.164190-6 2.099900+0 1.548790-6 2.106600+0 2.154500-6 2.114000+0 2.981030-6 2.119500+0 3.711360-6 2.127900+0 5.033300-6 2.136250+0 6.612740-6 2.147000+0 9.066530-6 2.156900+0 1.177630-5 2.169000+0 1.571630-5 2.184500+0 2.184610-5 2.201800+0 3.022480-5 2.214800+0 3.765770-5 2.234200+0 5.065620-5 2.253680+0 6.612740-5 2.281500+0 9.262300-5 2.307000+0 1.216600-4 2.338200+0 1.635820-4 2.377400+0 2.265410-4 2.410200+0 2.881220-4 2.446800+0 3.665070-4 2.485900+0 4.614530-4 2.532900+0 5.905630-4 2.556430+0 6.612740-4 2.611900+0 8.432060-4 2.660400+0 1.019400-3 2.745300+0 1.364420-3 2.809000+0 1.652400-3 2.904500+0 2.128710-3 3.000000+0 2.657000-3 3.125000+0 3.425800-3 3.234400+0 4.167980-3 3.425800+0 5.611500-3 3.569300+0 6.803360-3 3.784700+0 8.743840-3 4.000000+0 1.083000-2 4.250000+0 1.338130-2 4.625000+0 1.739200-2 5.000000+0 2.156000-2 5.500000+0 2.727430-2 6.000000+0 3.306000-2 6.750000+0 4.166810-2 7.000000+0 4.450000-2 8.000000+0 5.557000-2 9.000000+0 6.614000-2 1.000000+1 7.618000-2 1.100000+1 8.566000-2 1.200000+1 9.460000-2 1.300000+1 1.030000-1 1.400000+1 1.110000-1 1.500000+1 1.186000-1 1.600000+1 1.257000-1 1.800000+1 1.390000-1 2.000000+1 1.510000-1 2.200000+1 1.621000-1 2.400000+1 1.722000-1 2.600000+1 1.815000-1 2.800000+1 1.901000-1 3.000000+1 1.981000-1 4.000000+1 2.312000-1 5.000000+1 2.561000-1 6.000000+1 2.757000-1 8.000000+1 3.052000-1 1.000000+2 3.265000-1 1.500000+2 3.616000-1 2.000000+2 3.834000-1 3.000000+2 4.100000-1 4.000000+2 4.259000-1 5.000000+2 4.367000-1 6.000000+2 4.447000-1 8.000000+2 4.556000-1 1.000000+3 4.629000-1 1.500000+3 4.737000-1 2.000000+3 4.799000-1 3.000000+3 4.866000-1 4.000000+3 4.906000-1 5.000000+3 4.930000-1 6.000000+3 4.947000-1 8.000000+3 4.970000-1 1.000000+4 4.984000-1 1.500000+4 5.004000-1 2.000000+4 5.015000-1 3.000000+4 5.026000-1 4.000000+4 5.033000-1 5.000000+4 5.037000-1 6.000000+4 5.040000-1 8.000000+4 5.043000-1 1.000000+5 5.045000-1 1 66000 7 8 1.625000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 66000 7 9 1.625000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 6.600000+1 1.000000+5 6.600000+1 5.000000+5 6.596600+1 7.500000+5 6.593850+1 1.000000+6 6.591900+1 1.375000+6 6.587500+1 1.500000+6 6.585400+1 1.875000+6 6.577310+1 2.000000+6 6.574200+1 2.375000+6 6.563950+1 2.500000+6 6.560200+1 2.875000+6 6.547880+1 3.000000+6 6.543400+1 3.437500+6 6.526450+1 3.812500+6 6.510280+1 4.000000+6 6.502800+1 4.437500+6 6.483180+1 4.812500+6 6.465020+1 5.000000+6 6.456200+1 5.500000+6 6.429440+1 5.875000+6 6.408230+1 6.437500+6 6.375280+1 6.500000+6 6.371390+1 7.000000+6 6.341600+1 7.500000+6 6.310880+1 8.250000+6 6.265020+1 9.000000+6 6.218000+1 1.000000+7 6.153800+1 1.250000+7 5.993900+1 1.500000+7 5.829000+1 1.750000+7 5.663500+1 2.000000+7 5.493800+1 2.250000+7 5.319810+1 2.500000+7 5.145800+1 2.875000+7 4.890700+1 3.000000+7 4.807900+1 3.437500+7 4.528730+1 3.500000+7 4.490650+1 4.000000+7 4.201100+1 4.500000+7 3.939270+1 5.000000+7 3.700700+1 5.500000+7 3.481310+1 5.750000+7 3.377580+1 6.000000+7 3.277900+1 6.750000+7 2.998530+1 7.000000+7 2.912400+1 7.750000+7 2.672890+1 8.000000+7 2.599800+1 9.000000+7 2.339600+1 1.000000+8 2.127700+1 1.125000+8 1.919620+1 1.187500+8 1.834560+1 1.250000+8 1.759500+1 1.437500+8 1.579680+1 1.500000+8 1.529600+1 1.625000+8 1.437360+1 1.671900+8 1.404190+1 1.789100+8 1.321420+1 1.812500+8 1.304810+1 1.881300+8 1.255530+1 1.960400+8 1.197850+1 2.000000+8 1.168600+1 2.062500+8 1.122140+1 2.250000+8 9.922070+0 2.335900+8 9.414670+0 2.445300+8 8.866250+0 2.500000+8 8.635600+0 2.812500+8 7.628590+0 2.906300+8 7.328140+0 2.976600+8 7.083670+0 3.000000+8 6.998700+0 3.062500+8 6.760780+0 3.335900+8 5.775520+0 3.418000+8 5.546740+0 3.500000+8 5.361900+0 3.562500+8 5.252250+0 3.671900+8 5.106770+0 4.000000+8 4.807300+0 4.125000+8 4.680750+0 4.234400+8 4.559040+0 4.425800+8 4.334220+0 4.712900+8 3.999790+0 4.750000+8 3.958400+0 5.000000+8 3.698000+0 5.500000+8 3.262000+0 5.750000+8 3.060490+0 5.937500+8 2.909020+0 6.000000+8 2.858300+0 6.250000+8 2.655700+0 6.625000+8 2.387030+0 6.812500+8 2.277170+0 7.000000+8 2.186700+0 8.000000+8 1.874600+0 8.125000+8 1.832690+0 1.000000+9 1.250300+0 1.031300+9 1.196690+0 1.060500+9 1.157180+0 1.088000+9 1.127150+0 1.500000+9 9.210600-1 1.560500+9 8.852150-1 1.615500+9 8.496570-1 1.686000+9 8.020780-1 1.764500+9 7.487640-1 1.823400+9 7.096720-1 1.911700+9 6.537790-1 2.000000+9 6.021100-1 2.139200+9 5.298900-1 2.272600+9 4.701410-1 2.443000+9 4.051470-1 2.602800+9 3.538370-1 2.825100+9 2.949660-1 2.961100+9 2.648400-1 3.215900+9 2.179230-1 3.438900+9 1.850390-1 3.500000+9 1.771090-1 3.634100+9 1.611550-1 3.975600+9 1.278800-1 4.231700+9 1.083980-1 4.615800+9 8.560570-2 5.000000+9 6.848800-2 5.539100+9 5.106380-2 5.990200+9 4.059830-2 6.708000+9 2.897060-2 8.000000+9 1.698600-2 1.00000+10 8.599000-3 1.27030+10 4.160270-3 1.70630+10 1.711870-3 2.16210+10 8.443130-4 2.93940+10 3.398630-4 3.82190+10 1.570430-4 5.36640+10 5.830520-5 7.68320+10 2.061880-5 1.00000+11 9.655400-6 1.34280+11 4.151310-6 2.20600+11 1.011210-6 4.19930+11 1.646460-7 1.03480+12 1.329360-8 3.24440+12 5.67640-10 1.00000+14 4.91440-14 2.05350+15 1.23667-17 1.00000+17 2.71100-22 1 66000 7 0 1.625000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.03000-11 1.000000+2 1.030000-9 1.000000+3 1.030000-7 1.000000+4 1.030000-5 1.000000+5 1.030000-3 5.000000+5 2.575000-2 7.500000+5 5.793750-2 1.000000+6 1.030000-1 1.375000+6 1.919030-1 1.500000+6 2.272000-1 1.875000+6 3.492610-1 2.000000+6 3.950000-1 2.375000+6 5.455770-1 2.500000+6 6.000000-1 2.875000+6 7.741760-1 3.000000+6 8.356000-1 3.437500+6 1.061150+0 3.812500+6 1.265170+0 4.000000+6 1.370100+0 4.437500+6 1.619550+0 4.812500+6 1.836700+0 5.000000+6 1.946000+0 5.500000+6 2.236630+0 5.875000+6 2.453200+0 6.437500+6 2.773790+0 6.500000+6 2.808910+0 7.000000+6 3.087300+0 7.500000+6 3.358910+0 8.250000+6 3.756250+0 9.000000+6 4.144400+0 1.000000+7 4.654000+0 1.250000+7 5.931200+0 1.500000+7 7.245000+0 1.750000+7 8.568600+0 2.000000+7 9.867000+0 2.250000+7 1.112210+1 2.500000+7 1.233500+1 2.875000+7 1.408240+1 3.000000+7 1.464700+1 3.437500+7 1.654570+1 3.500000+7 1.680630+1 4.000000+7 1.879900+1 4.500000+7 2.061410+1 5.000000+7 2.228200+1 5.500000+7 2.382720+1 5.750000+7 2.456540+1 6.000000+7 2.528400+1 6.750000+7 2.734200+1 7.000000+7 2.800100+1 7.750000+7 2.989960+1 8.000000+7 3.051200+1 9.000000+7 3.284500+1 1.000000+8 3.502100+1 1.125000+8 3.754040+1 1.187500+8 3.871300+1 1.250000+8 3.983200+1 1.437500+8 4.282790+1 1.500000+8 4.371300+1 1.625000+8 4.531040+1 1.671900+8 4.585860+1 1.789100+8 4.712420+1 1.812500+8 4.736180+1 1.881300+8 4.802730+1 1.960400+8 4.874230+1 2.000000+8 4.908200+1 2.062500+8 4.959150+1 2.250000+8 5.098680+1 2.335900+8 5.156090+1 2.445300+8 5.224380+1 2.500000+8 5.256700+1 2.812500+8 5.421490+1 2.906300+8 5.465430+1 2.976600+8 5.497020+1 3.000000+8 5.507300+1 3.062500+8 5.533760+1 3.335900+8 5.641130+1 3.418000+8 5.670510+1 3.500000+8 5.699300+1 3.562500+8 5.719890+1 3.671900+8 5.755240+1 4.000000+8 5.852600+1 4.125000+8 5.885870+1 4.234400+8 5.914310+1 4.425800+8 5.960710+1 4.712900+8 6.023860+1 4.750000+8 6.031340+1 5.000000+8 6.080000+1 5.500000+8 6.162410+1 5.750000+8 6.197560+1 5.937500+8 6.221700+1 6.000000+8 6.229300+1 6.250000+8 6.257240+1 6.625000+8 6.293590+1 6.812500+8 6.309140+1 7.000000+8 6.324300+1 8.000000+8 6.385800+1 8.125000+8 6.391660+1 1.000000+9 6.459600+1 1.031300+9 6.467660+1 1.060500+9 6.474970+1 1.088000+9 6.481670+1 1.500000+9 6.548300+1 1.560500+9 6.553720+1 1.615500+9 6.558470+1 1.686000+9 6.564330+1 1.764500+9 6.569580+1 1.823400+9 6.572830+1 1.911700+9 6.577520+1 2.000000+9 6.582000+1 2.139200+9 6.586840+1 2.272600+9 6.590340+1 2.443000+9 6.593920+1 2.602800+9 6.596400+1 2.825100+9 6.598310+1 2.961100+9 6.599400+1 3.215900+9 6.600610+1 3.438900+9 6.600670+1 3.500000+9 6.600690+1 3.634100+9 6.600730+1 3.975600+9 6.600810+1 4.231700+9 6.600810+1 4.615800+9 6.600330+1 5.000000+9 6.599900+1 5.539100+9 6.599920+1 5.990200+9 6.599940+1 6.708000+9 6.599960+1 8.000000+9 6.600000+1 1.00000+10 6.600000+1 1.27030+10 6.600000+1 1.70630+10 6.600000+1 2.16210+10 6.600000+1 2.93940+10 6.600000+1 3.82190+10 6.600000+1 5.36640+10 6.600000+1 7.68320+10 6.600000+1 1.00000+11 6.600000+1 1.34280+11 6.600000+1 2.20600+11 6.600000+1 4.19930+11 6.600000+1 1.03480+12 6.600000+1 3.24440+12 6.600000+1 1.00000+14 6.600000+1 2.05350+15 6.600000+1 1.00000+17 6.600000+1 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 4.602448-6 1.003004-6 2.390993-6 1.005374-6 1.315305-6 1.007744-6 6.679263-7 1.010113-6 0.0 1.774376-6 0.0 1.778743-6 2.330979-7 1.783111-6 4.612365-7 1.787478-6 8.424861-7 1.791846-6 1.420547-6 1.796213-6 2.211070-6 1.800580-6 3.176898-6 1.804948-6 4.213644-6 1.809315-6 5.159009-6 1.813683-6 5.830807-6 1.818050-6 6.083381-6 1.822417-6 5.858889-6 1.826785-6 5.208821-6 1.831152-6 4.274818-6 1.839887-6 2.264831-6 1.844254-6 1.462096-6 1.848622-6 8.713047-7 1.852989-6 4.793119-7 1.857357-6 2.433999-7 1.861724-6 0.0 2.039647-6 0.0 2.044667-6 6.187650-7 2.049687-6 1.224365-6 2.054708-6 2.236403-6 2.059728-6 3.770883-6 2.064748-6 5.869349-6 2.069769-6 8.433165-6 2.074789-6 1.118524-5 2.079809-6 1.369474-5 2.084830-6 1.547804-5 2.089850-6 1.614851-5 2.094870-6 1.555259-5 2.099891-6 1.382696-5 2.104911-6 1.134763-5 2.114952-6 6.012059-6 2.119972-6 3.881176-6 2.124992-6 2.312903-6 2.130013-6 1.272347-6 2.135033-6 6.461119-7 2.140053-6 0.0 2.319625-6 0.0 2.328190-6 3.063921+0 2.331044-6 4.072272+0 2.336754-6 7.438339+0 2.342463-6 1.254206+1 2.348886-6 2.058528+1 2.358789-6 3.591254+1 2.366015-6 4.628895+1 2.371535-6 5.168468+1 2.377325-6 5.350078+1 2.383255-6 5.090005+1 2.388987-6 4.476631+1 2.398328-6 3.056706+1 2.405267-6 1.999627+1 2.411334-6 1.258362+1 2.416686-6 7.692779+0 2.422396-6 4.231861+0 2.430603-6 1.210048+0 2.433815-6 0.0 2.490421-6 0.0 2.501149-6 7.326153+0 2.502681-6 8.362067+0 2.508811-6 1.527400+1 2.515324-6 2.664777+1 2.521837-6 4.227013+1 2.532765-6 7.465363+1 2.539843-6 9.429069+1 2.546582-6 1.064504+2 2.552163-6 1.099963+2 2.558413-6 1.051403+2 2.565081-6 9.139759+1 2.574731-6 6.334556+1 2.582369-6 4.106066+1 2.588499-6 2.650733+1 2.594629-6 1.579647+1 2.600759-6 8.689769+0 2.609954-6 2.208974+0 2.613019-6 0.0 3.343201-6 0.0 3.351430-6 4.25396-15 3.359659-6 8.41742-15 3.367888-6 1.53751-14 3.376117-6 2.59245-14 3.384346-6 4.03513-14 3.392575-6 5.79774-14 3.400803-6 7.68977-14 3.409032-6 9.41503-14 3.417261-6 1.06410-13 3.425490-6 1.11020-13 3.433719-6 1.06923-13 3.441948-6 9.50594-14 3.450177-6 7.80141-14 3.466634-6 4.13325-14 3.474863-6 2.66828-14 3.483092-6 1.59010-14 3.491321-6 8.74729-15 3.499550-6 4.44197-15 3.507779-6 0.0 3.901373-6 0.0 3.918177-6 1.043959-1 3.920578-6 1.191574-1 3.930181-6 2.176512-1 3.939784-6 3.669922-1 3.949386-6 5.712224-1 3.953766-6 6.902591-1 3.974370-6 1.731543+0 3.984083-6 2.336837+0 3.996328-6 3.231710+0 4.024506-6 5.513464+0 4.037968-6 6.243474+0 4.042867-6 6.374323+0 4.051458-6 6.362546+0 4.061343-6 5.927310+0 4.074062-6 4.842619+0 4.093427-6 2.796136+0 4.099506-6 2.203788+0 4.109237-6 1.422687+0 4.118968-6 8.478182-1 4.128699-6 4.663910-1 4.140768-6 1.800432-1 4.148161-6 0.0 4.399912-6 0.0 4.399931-6 1.06008-14 4.410761-6 1.37650-11 4.421591-6 2.72341-11 4.432421-6 4.97399-11 4.443251-6 8.38599-11 4.454081-6 1.30515-10 4.466600-6 1.97036-10 4.488588-6 2.606005-2 4.489331-6 2.751174-2 4.500498-6 1.115100-1 4.511548-6 2.050983-1 4.522599-6 3.505235-1 4.533649-6 5.565579-1 4.547462-6 8.964437-1 4.566799-6 1.428545+0 4.577850-6 1.684560+0 4.588900-6 1.842211+0 4.601331-6 1.853371+0 4.612381-6 1.725712+0 4.622050-6 1.526088+0 4.651426-6 7.289156-1 4.655201-6 6.319909-1 4.666251-6 4.031629-1 4.677301-6 2.367551-1 4.686480-6 1.406995-1 4.688352-6 1.238632-1 4.706571-6 2.154251-2 4.710329-6 1.670909-8 4.710452-6 8.92681-12 4.721897-6 1.74845-11 4.733462-6 3.19353-11 4.734262-6 3.34473-11 4.746179-6 5.162010-3 4.757861-6 3.579699-2 4.769543-6 6.924752-2 4.781225-6 1.238069-1 4.792907-6 2.045782-1 4.804589-6 3.124176-1 4.833795-6 6.339962-1 4.839636-6 6.930738-1 4.851318-6 7.718626-1 4.863000-6 7.942816-1 4.874682-6 7.552014-1 4.895216-6 5.761659-1 4.913267-6 4.000330-1 4.921411-6 3.317536-1 4.933093-6 2.662972-1 4.944925-6 2.417746-1 4.956457-6 2.539259-1 4.979821-6 3.308092-1 4.990333-6 3.864453-1 4.997506-6 4.166130-1 5.009540-6 4.443022-1 5.021574-6 4.468842-1 5.069711-6 3.648569-1 5.121542-6 3.627848-1 5.214172-6 3.407231-1 5.299481-6 3.067387-1 5.332340-6 3.089389-1 5.373913-6 3.154585-1 5.485217-6 2.871046-1 5.936260-6 2.213770-1 6.158008-6 1.954125-1 6.188323-6 1.010184+0 6.203480-6 1.684763+0 6.219584-6 2.795724+0 6.234742-6 4.215553+0 6.262885-6 7.508668+0 6.279739-6 9.369621+0 6.296718-6 1.058998+1 6.311186-6 1.092672+1 6.326129-6 1.046363+1 6.342618-6 9.117640+0 6.366479-6 6.371199+0 6.385366-6 4.189459+0 6.400523-6 2.764401+0 6.415680-6 1.715234+0 6.430837-6 1.018643+0 6.461152-6 1.658135-1 6.855471-6 1.348812-1 6.889483-6 7.603657-1 6.906620-6 1.287831+0 6.923494-6 2.072475+0 6.940895-6 3.181525+0 6.990920-6 7.083506+0 7.009125-6 7.996671+0 7.025759-6 8.271543+0 7.042138-6 7.941995+0 7.060067-6 6.965178+0 7.086960-6 4.864608+0 7.108579-6 3.162425+0 7.125453-6 2.088468+0 7.142327-6 1.314223+0 7.159201-6 8.095655-1 7.192949-6 2.542947-1 7.212748-6 3.399428-1 7.260946-6 5.881718-1 7.278473-6 6.494794-1 7.296000-6 6.719376-1 7.313527-6 6.501863-1 7.331054-6 5.890006-1 7.383634-6 3.135352-1 7.401161-6 2.382637-1 7.418937-6 1.821052-1 7.436214-6 1.454248-1 7.471268-6 9.935030-2 8.020620-6 7.673238-2 8.064864-6 7.522986-2 8.104565-6 1.169698-1 8.124416-6 1.519117-1 8.144266-6 2.052442-1 8.165794-6 2.860146-1 8.217140-6 5.230764-1 8.245020-6 6.158286-1 8.264827-6 6.355089-1 8.284633-6 6.111611-1 8.304440-6 5.481427-1 8.363859-6 2.726675-1 8.383666-6 1.984621-1 8.402324-6 1.460435-1 8.422175-6 1.088555-1 8.461876-6 6.294168-2 8.607819-6 5.901418-2 8.650194-6 7.402570-2 8.671381-6 8.677748-2 8.692568-6 1.063834-1 8.713755-6 1.333884-1 8.777316-6 2.345345-1 8.798503-6 2.574444-1 8.819690-6 2.657552-1 8.840877-6 2.574574-1 8.865185-6 2.294877-1 8.918076-6 1.533995-1 8.930646-6 1.382090-1 8.947717-6 1.234142-1 8.969053-6 1.150988-1 8.990755-6 1.168677-1 9.010373-6 1.252267-1 9.034160-6 1.514950-1 9.056862-6 1.824102-1 9.079099-6 2.166716-1 9.101337-6 2.572016-1 9.142845-6 3.540264-1 9.190287-6 4.720463-1 9.212525-6 5.090839-1 9.234762-6 5.215219-1 9.257000-6 5.057147-1 9.279775-6 4.631415-1 9.346834-6 2.803963-1 9.368188-6 2.330565-1 9.389919-6 1.966636-1 9.412112-6 1.709142-1 9.454391-6 1.354873-1 9.504353-6 1.231431-1 9.565470-6 1.054381-1 9.610553-6 1.089693-1 9.635201-6 1.194319-1 9.657480-6 1.355343-1 9.682569-6 1.612649-1 9.757702-6 2.520249-1 9.779286-6 2.684706-1 9.802557-6 2.753300-1 9.824190-6 2.713219-1 9.848371-6 2.585507-1 9.901071-6 2.149480-1 9.920914-6 2.016015-1 9.942479-6 1.925917-1 9.963421-6 1.892945-1 1.003404-5 2.034494-1 1.006678-5 2.133244-1 1.009444-5 2.162513-1 1.021268-5 2.072585-1 1.038397-5 2.022421-1 1.056872-5 1.796092-1 1.064289-5 1.819180-1 1.077870-5 1.954799-1 1.215000-5 1.869412-1 1.350000-5 1.906881-1 1.507448-5 2.097991-1 1.690982-5 2.496597-1 1.895967-5 3.155014-1 2.112916-5 4.102664-1 2.381273-5 5.644185-1 2.396288-5 5.744951-1 2.408085-5 2.483296+0 2.413983-5 4.058491+0 2.419881-5 6.444802+0 2.422815-5 8.065692+0 2.425779-5 1.380190+1 2.434742-5 3.223598+1 2.440706-5 4.985432+1 2.447415-5 7.736804+1 2.453535-5 1.085606+2 2.470307-5 2.013615+2 2.477452-5 2.228465+2 2.483309-5 2.251940+2 2.488961-5 2.129300+2 2.495207-5 1.845030+2 2.512267-5 8.115311+1 2.518231-5 5.240737+1 2.524194-5 3.150116+1 2.530158-5 1.763136+1 2.539103-5 4.985911+0 2.542085-5 6.756647-1 2.553167-5 6.840880-1 2.565736-5 9.354811-1 2.572020-5 1.140158+0 2.578304-5 1.448029+0 2.584589-5 1.867292+0 2.603441-5 3.427273+0 2.609726-5 3.784294+0 2.613502-5 3.878154+0 2.616010-5 4.127246+0 2.622438-5 4.502183+0 2.627074-5 4.648664+0 2.633508-5 5.060163+0 2.639943-5 5.818601+0 2.647323-5 7.309391+0 2.666284-5 1.260172+1 2.672569-5 1.396039+1 2.678853-5 1.450704+1 2.685955-5 1.421415+1 2.696750-5 1.245342+1 2.708584-5 1.022842+1 2.717221-5 9.307428+0 2.726695-5 9.115100+0 2.754350-5 9.364711+0 2.807532-5 8.529186+0 2.885761-5 7.745915+0 2.899967-5 1.677519+1 2.907513-5 2.498761+1 2.914616-5 3.665430+1 2.922058-5 5.346019+1 2.942806-5 1.100122+2 2.950654-5 1.234429+2 2.958140-5 1.268744+2 2.965316-5 1.206683+2 2.973032-5 1.049198+2 2.992305-5 5.185084+1 2.999408-5 3.588721+1 3.006511-5 2.412667+1 3.013613-5 1.630849+1 3.027819-5 6.718550+0 3.065107-5 6.669449+0 3.101178-5 7.262902+0 3.132566-5 8.545336+0 3.145160-5 9.552276+0 3.165039-5 1.144371+1 3.171566-5 1.188375+1 3.178828-5 1.212193+1 3.189652-5 1.190777+1 3.216116-5 1.047321+1 3.235937-5 1.009950+1 3.316818-5 9.714951+0 3.381807-5 9.025942+0 3.625744-5 7.790324+0 3.950580-5 6.847565+0 4.307996-5 6.291618+0 4.766498-5 6.011339+0 5.043981-5 6.074182+0 5.258412-5 6.087910+0 6.028504-5 6.564404+0 9.659340-5 1.014629+1 1.257405-4 1.227550+1 1.461918-4 1.327790+1 1.469744-4 1.378787+1 1.476979-4 2.227869+1 1.480597-4 2.919869+1 1.484667-4 4.108376+1 1.488346-4 5.531954+1 1.496060-4 9.057771+1 1.501144-4 1.086926+2 1.503090-4 1.127562+2 1.506274-4 1.149870+2 1.510123-4 1.091521+2 1.514073-4 9.559502+1 1.524008-4 5.048859+1 1.527888-4 3.667303+1 1.531549-4 2.939144+1 1.535102-4 2.578808+1 1.539608-4 2.606314+1 1.542215-4 2.795773+1 1.543930-4 3.147964+1 1.548262-4 4.262976+1 1.558560-4 7.333200+1 1.562978-4 8.125618+1 1.566668-4 8.295365+1 1.570864-4 7.846073+1 1.574605-4 7.012201+1 1.585113-4 3.910644+1 1.588630-4 3.072583+1 1.592186-4 2.440156+1 1.595889-4 2.001572+1 1.603384-4 1.461766+1 1.633029-4 1.549803+1 1.668330-4 1.618243+1 1.766000-4 1.728453+1 1.875973-4 1.699452+1 2.174487-4 1.515826+1 2.559470-4 1.436060+1 2.831047-4 1.433366+1 2.872490-4 1.541563+1 2.900551-4 1.583488+1 2.959948-4 1.537744+1 3.237272-4 1.543485+1 3.371563-4 1.560429+1 3.962119-4 1.534901+1 4.061134-4 1.576336+1 8.709636-4 1.072445+1 1.141485-3 8.524334+0 1.258718-3 7.791559+0 1.264921-3 1.048095+1 1.268267-3 1.300649+1 1.271370-3 1.655562+1 1.275108-3 2.256153+1 1.283656-3 3.918088+1 1.287567-3 4.456900+1 1.290607-3 4.641419+1 1.294232-3 4.572827+1 1.299142-3 4.216910+1 1.303872-3 3.806524+1 1.308191-3 3.667746+1 1.312021-3 3.838900+1 1.323849-3 4.840794+1 1.326703-3 4.948651+1 1.330933-3 4.837048+1 1.338123-3 4.251311+1 1.345366-3 3.645215+1 1.351503-3 3.385918+1 1.358557-3 3.262550+1 1.418630-3 3.335040+1 1.503355-3 3.206013+1 1.629252-3 2.887828+1 1.645646-3 3.000969+1 1.663752-3 3.200148+1 1.801613-3 2.908556+1 1.834997-3 2.992677+1 1.994065-3 2.699302+1 2.053624-3 2.698280+1 2.408345-3 2.191286+1 2.848968-3 1.740553+1 3.271053-3 1.427878+1 3.733930-3 1.177252+1 4.153723-3 1.004033+1 4.752532-3 8.189120+0 5.385690-3 6.751807+0 6.131986-3 5.512218+0 7.000000-3 4.467946+0 7.592734-3 3.936051+0 7.646057-3 4.099103+0 7.677793-3 4.451851+0 7.703972-3 4.991142+0 7.732360-3 5.858397+0 7.804337-3 8.538449+0 7.847782-3 9.560497+0 7.902830-3 9.984112+0 8.414836-3 9.176957+0 8.491151-3 9.413588+0 8.556278-3 1.023491+1 8.636186-3 1.140704+1 8.714557-3 1.176131+1 8.904721-3 1.158388+1 9.112264-3 1.258917+1 1.086819-2 9.689149+0 1.254700-2 7.687594+0 1.431150-2 6.205436+0 1.627467-2 5.014139+0 1.837271-2 4.088723+0 2.056482-2 3.375399+0 2.265300-2 2.859138+0 2.530026-2 2.361551+0 2.865111-2 1.901733+0 3.231079-2 1.538854+0 3.650408-2 1.239973+0 4.097765-2 1.008859+0 4.622557-2 8.126501-1 5.218513-2 6.535102-1 5.269172-2 6.542104-1 5.290719-2 6.832711-1 5.308314-2 7.482710-1 5.321689-2 8.399345-1 5.336818-2 1.003179+0 5.352431-2 1.246092+0 5.374615-2 1.703653+0 5.409430-2 2.483051+0 5.435925-2 2.913104+0 5.464970-2 3.150004+0 5.516737-2 3.217297+0 6.422058-2 2.525234+0 7.244360-2 2.074562+0 8.258002-2 1.664348+0 9.299838-2 1.358076+0 1.057648-1 1.087563+0 1.197947-1 8.748831-1 1.335020-1 7.232871-1 1.487302-1 5.974749-1 1.663501-1 4.904941-1 1.857340-1 4.037592-1 2.062156-1 3.359995-1 2.292311-1 2.790862-1 2.582446-1 2.271944-1 2.898913-1 1.866552-1 3.241690-1 1.549987-1 3.648212-1 1.279429-1 4.133225-1 1.051521-1 4.694431-1 8.672990-2 5.282647-1 7.309873-2 6.031018-1 6.090017-2 6.958250-1 5.058947-2 7.914399-1 4.326555-2 9.226325-1 3.643153-2 1.120601+0 2.961006-2 1.347258+0 2.414287-2 1.619761+0 1.968514-2 1.947381+0 1.605048-2 2.341267+0 1.308693-2 2.814822+0 1.067056-2 3.384160+0 8.700354-3 4.068655+0 7.093924-3 4.891600+0 5.784105-3 5.616308+0 4.963046-3 6.752287+0 4.046671-3 8.118035+0 3.299496-3 9.760024+0 2.690278-3 1.000000+1 5.530254-3 1 66000 7 0 1.625000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-6.555673+1 1.883964-6-6.292356+1 2.140053-6-5.925331+1 2.242025-6-5.486327+1 2.289016-6-4.991163+1 2.309322-6-4.544037+1 2.319218-6-4.121007+1 2.336754-6-3.096320+1 2.344426-6-2.677626+1 2.350135-6-2.534845+1 2.355310-6-2.621069+1 2.359592-6-2.891088+1 2.364097-6-3.364513+1 2.370776-6-4.437269+1 2.381828-6-6.591117+1 2.387561-6-5.599046+1 2.391755-6-5.044993+1 2.397099-6-4.617355+1 2.402859-6-4.487632+1 2.410977-6-4.750274+1 2.439347-6-6.584773+1 2.476800-6-4.858854+1 2.486572-6-4.180187+1 2.490421-6-3.748886+1 2.494666-6-3.260902+1 2.501915-6-2.551831+1 2.510631-6-1.517924+1 2.514402-6-1.160439+1 2.515324-6-1.044776+1 2.516042-6-9.782816+0 2.517299-6-8.896932+0 2.521837-6-6.578845+0 2.523178-6-6.398119+0 2.524184-6-6.482436+0 2.525692-6-6.879754+0 2.527967-6-7.903797+0 2.529308-6-8.964620+0 2.531068-6-1.086889+1 2.532765-6-1.329064+1 2.536012-6-1.941382+1 2.538491-6-2.519197+1 2.544681-6-4.440747+1 2.549191-6-6.156256+1 2.550431-6-6.589036+1 2.552163-6-5.820855+1 2.559717-6-2.949014+1 2.564363-6-1.492132+1 2.565081-6-1.286541+1 2.566338-6-9.704349+0 2.567281-6-7.572894+0 2.568695-6-4.655684+0 2.570110-6-1.915024+0 2.570876-6-5.240598-1 2.572217-6 1.493159+0 2.573222-6 2.766087+0 2.574731-6 4.322697+0 2.575485-6 4.936481+0 2.576239-6 5.398580+0 2.577772-6 6.143865+0 2.578921-6 6.561432+0 2.580645-6 6.826860+0 2.581507-6 6.748432+0 2.585434-6 5.062296+0 2.586967-6 4.201248+0 2.587733-6 3.621769+0 2.589265-6 1.925537+0 2.591947-6-4.341875-1 2.593288-6-1.709557+0 2.593959-6-2.438938+0 2.594629-6-3.351749+0 2.600759-6-1.024250+1 2.601525-6-1.122927+1 2.602866-6-1.263545+1 2.611486-6-2.069445+1 2.614444-6-2.461467+1 2.620121-6-2.932247+1 2.628561-6-3.396630+1 2.645148-6-3.981546+1 2.671993-6-4.535183+1 2.717817-6-5.045313+1 2.809075-6-5.519996+1 3.012824-6-5.918474+1 3.918177-6-6.467847+1 3.992587-6-6.583581+1 4.024506-6-6.504348+1 4.082308-6-5.908090+1 4.146313-6-6.063092+1 4.352818-6-6.278678+1 4.577850-6-6.374716+1 4.663489-6-6.222770+1 4.863000-6-6.330503+1 6.037790-6-6.540624+1 6.136197-6-6.548940+1 6.245454-6-6.184985+1 6.287081-6-6.486965+1 6.297898-6-6.575118+1 6.351555-6-5.854245+1 6.392944-6-5.761028+1 6.517228-6-6.183480+1 6.866698-6-6.590566+1 6.966634-6-6.460989+1 6.999256-6-6.560896+1 7.074832-6-5.883503+1 7.129672-6-5.870362+1 7.260946-6-6.166547+1 8.294536-6-6.327420+1 1.582894-5-6.652885+1 1.995262-5-6.244199+1 2.172017-5-5.726942+1 2.254861-5-5.205767+1 2.306492-5-4.626079+1 2.341705-5-3.972405+1 2.364315-5-3.321513+1 2.378446-5-2.741916+1 2.386925-5-2.286083+1 2.394433-5-1.768007+1 2.403883-5-9.102937+0 2.405984-5-6.968280+0 2.408085-5-4.600039+0 2.411034-5-1.010084+0 2.412508-5 9.011292-1 2.413983-5 2.994268+0 2.416932-5 7.490000+0 2.418407-5 9.947225+0 2.419881-5 1.271560+1 2.422082-5 1.756044+1 2.423834-5 2.264032+1 2.425779-5 2.686808+1 2.441451-5 5.539261+1 2.447415-5 6.282397+1 2.452633-5 6.387477+1 2.455226-5 6.221248+1 2.459134-5 5.564225+1 2.461861-5 4.855523+1 2.464870-5 3.805847+1 2.466517-5 3.077480+1 2.468795-5 1.850081+1 2.469659-5 1.344718+1 2.470307-5 9.248988+0 2.470896-5 4.881808+0 2.474390-5-1.796115+1 2.475602-5-2.665599+1 2.476376-5-3.301063+1 2.477119-5-3.970902+1 2.481047-5-6.936501+1 2.482520-5-5.648592+1 2.484226-5-4.236882+1 2.487955-5-1.495870+1 2.488413-5-1.099459+1 2.488600-5-9.266098+0 2.488961-5-6.379313+0 2.489638-5-1.480269+0 2.490230-5 2.507501+0 2.491267-5 9.072938+0 2.493988-5 2.528896+1 2.495207-5 3.293196+1 2.497273-5 4.271913+1 2.499088-5 4.966539+1 2.502177-5 5.884115+1 2.505508-5 6.549861+1 2.509416-5 6.909916+1 2.512267-5 6.779498+1 2.517485-5 6.102460+1 2.523542-5 4.807219+1 2.532208-5 2.708987+1 2.539103-5 1.374379+1 2.540594-5 1.051711+1 2.541712-5 7.668726+0 2.542413-5 5.285029+0 2.543028-5 3.642746+0 2.544104-5 1.219527+0 2.545719-5-1.882412+0 2.547334-5-4.595993+0 2.548792-5-6.811905+0 2.550980-5-9.822794+0 2.554738-5-1.436468+1 2.559451-5-1.915793+1 2.565736-5-2.451506+1 2.575162-5-3.108744+1 2.587731-5-3.791272+1 2.603441-5-4.399965+1 2.651462-5-5.758545+1 2.666284-5-5.839978+1 2.694489-5-5.418891+1 2.711295-5-5.536817+1 2.752395-5-6.066306+1 2.815623-5-6.791944+1 2.845282-5-7.380335+1 2.872178-5-6.081329+1 2.883634-5-5.215547+1 2.888630-5-4.604058+1 2.899967-5-3.496977+1 2.908346-5-2.540234+1 2.915449-5-1.849087+1 2.916905-5-1.747996+1 2.922058-5-1.471235+1 2.924174-5-1.445508+1 2.926422-5-1.495764+1 2.929647-5-1.679392+1 2.933015-5-2.008098+1 2.936694-5-2.534291+1 2.940326-5-3.222299+1 2.942351-5-3.731165+1 2.948871-5-5.680804+1 2.952339-5-6.967993+1 2.957025-5-5.342975+1 2.959309-5-4.413506+1 2.964397-5-2.657688+1 2.965316-5-2.283821+1 2.966865-5-1.777248+1 2.971927-5-3.341972+0 2.972303-5-2.161472+0 2.973032-5-2.302431-1 2.974399-5 2.912382+0 2.975596-5 5.327018+0 2.976642-5 7.236275+0 2.978474-5 1.018496+1 2.979848-5 1.210086+1 2.981909-5 1.453664+1 2.983970-5 1.646045+1 2.986054-5 1.791387+1 2.988788-5 1.906643+1 2.991426-5 1.918175+1 2.997632-5 1.640936+1 2.999408-5 1.487105+1 3.000295-5 1.392306+1 3.004957-5 9.947314+0 3.005734-5 9.148947+0 3.006511-5 8.149782+0 3.013613-5 6.000702-1 3.014772-5-7.666017-1 3.016799-5-2.711060+0 3.022881-5-7.950702+0 3.025350-5-1.022560+1 3.027202-5-1.225495+1 3.028405-5-1.404193+1 3.030160-5-1.593425+1 3.034709-5-1.957754+1 3.042639-5-2.420205+1 3.051998-5-2.825173+1 3.065107-5-3.253579+1 3.088180-5-3.789319+1 3.125019-5-4.354970+1 3.157152-5-4.631246+1 3.210125-5-4.503308+1 3.301377-5-4.745167+1 3.694027-5-5.103547+1 4.991292-5-5.475882+1 7.697049-5-5.651719+1 1.202600-4-5.727822+1 1.336115-4-6.030494+1 1.352358-4-6.036211+1 1.408323-4-5.467120+1 1.436046-4-4.881281+1 1.450120-4-4.358649+1 1.460121-4-3.745965+1 1.465961-4-3.189198+1 1.469287-4-2.704200+1 1.470903-4-2.362651+1 1.476647-4-1.464630+1 1.480597-4-7.453640+0 1.481049-4-6.509615+0 1.484214-4-1.784638+0 1.484667-4-1.039165+0 1.485458-4-1.807181-1 1.487832-4 1.487014+0 1.488346-4 1.800046+0 1.488828-4 1.858781+0 1.489732-4 1.639143+0 1.490523-4 1.158202+0 1.491215-4 5.366760-1 1.491821-4-1.560109-1 1.492881-4-1.702930+0 1.493676-4-3.152774+0 1.494272-4-4.415346+0 1.495166-4-6.629844+0 1.495613-4-7.915614+0 1.498306-4-1.740198+1 1.499485-4-2.244013+1 1.502085-4-3.587821+1 1.503090-4-4.218559+1 1.505905-4-5.844172+1 1.506110-4-5.997665+1 1.510502-4-3.508390+1 1.513565-4-2.127746+1 1.514516-4-1.787312+1 1.515876-4-1.403246+1 1.516750-4-1.203125+1 1.517623-4-1.032075+1 1.518421-4-9.029017+0 1.519120-4-8.138115+0 1.520265-4-7.115474+0 1.521201-4-6.685920+0 1.521903-4-6.615541+0 1.522429-4-6.716781+0 1.523219-4-7.155860+0 1.523613-4-7.541151+0 1.526269-4-1.166714+1 1.527286-4-1.382547+1 1.528674-4-1.785453+1 1.531328-4-2.475360+1 1.535102-4-3.507852+1 1.544551-4-5.997248+1 1.548958-4-5.434760+1 1.552802-4-5.438461+1 1.556543-4-5.857451+1 1.557285-4-6.001950+1 1.562310-4-4.570875+1 1.566226-4-3.135026+1 1.566668-4-2.931563+1 1.570864-4-1.424931+1 1.571697-4-1.169748+1 1.574605-4-3.673722+0 1.575372-4-1.932293+0 1.576043-4-6.337968-1 1.576445-4 1.969052-2 1.577217-4 1.271327+0 1.578097-4 2.440359+0 1.579418-4 3.817351+0 1.580078-4 4.339108+0 1.580739-4 4.729433+0 1.581832-4 5.184683+0 1.582653-4 5.388739+0 1.583883-4 5.404286+0 1.584498-4 5.248158+0 1.586872-4 3.751389+0 1.587751-4 3.086773+0 1.588190-4 2.674226+0 1.589525-4 1.066908+0 1.590852-4-3.217858-1 1.591519-4-1.087238+0 1.592186-4-2.033541+0 1.596801-4-7.977989+0 1.602561-4-1.424067+1 1.603872-4-1.625123+1 1.606433-4-1.895937+1 1.611383-4-2.255831+1 1.618360-4-2.611548+1 1.629172-4-2.982214+1 1.642722-4-3.267802+1 1.678860-4-3.675637+1 1.729711-4-3.916682+1 1.826031-4-3.996854+1 2.812185-4-4.037321+1 2.880733-4-4.064963+1 2.948824-4-3.947289+1 3.962119-4-3.649854+1 5.055336-4-3.309522+1 6.542100-4-3.102282+1 8.305676-4-3.067177+1 9.698378-4-3.199213+1 1.079991-3-3.465492+1 1.157313-3-3.843854+1 1.204347-3-4.281116+1 1.231989-3-4.748431+1 1.249144-3-5.273348+1 1.258175-3-5.021469+1 1.271944-3-4.331557+1 1.276487-3-4.378143+1 1.280733-3-4.778595+1 1.283656-3-5.318429+1 1.287757-3-6.315535+1 1.294757-3-5.108581+1 1.299142-3-4.663274+1 1.303396-3-4.561362+1 1.312801-3-4.990080+1 1.317359-3-4.955731+1 1.323029-3-4.540430+1 1.330933-3-3.480495+1 1.334760-3-3.092095+1 1.339829-3-2.839986+1 1.344587-3-2.831185+1 1.360371-3-3.203133+1 1.376425-3-3.246927+1 1.418630-3-3.033724+1 1.503355-3-2.529410+1 1.560479-3-2.336280+1 1.612501-3-2.289529+1 1.649233-3-2.426964+1 1.663752-3-2.289025+1 1.678204-3-2.112218+1 1.702007-3-1.985006+1 1.758672-3-1.811267+1 1.801613-3-1.778802+1 1.822059-3-1.755865+1 1.852390-3-1.586355+1 1.935291-3-1.386251+1 1.994065-3-1.327717+1 2.024952-3-1.286960+1 2.078986-3-1.137167+1 2.171594-3-9.758620+0 2.308734-3-8.126287+0 2.471301-3-6.791947+0 2.649263-3-5.787786+0 2.848968-3-5.023760+0 3.073940-3-4.473899+0 3.388441-3-4.093299+0 3.733930-3-3.950017+0 4.351829-3-4.082318+0 4.954502-3-4.400794+0 5.639622-3-5.004342+0 6.343901-3-5.920913+0 6.870799-3-6.964889+0 7.218018-3-8.043957+0 7.422518-3-9.050520+0 7.566952-3-1.023228+1 7.646057-3-1.142206+1 7.747977-3-1.364938+1 7.792821-3-1.385831+1 7.847782-3-1.299786+1 7.943282-3-1.100326+1 8.034671-3-9.993875+0 8.172289-3-9.268893+0 8.334296-3-9.030938+0 8.445804-3-9.360375+0 8.556278-3-1.014770+1 8.616665-3-1.005744+1 8.768900-3-8.468173+0 8.864939-3-8.016883+0 9.001471-3-7.855876+0 9.079646-3-7.315126+0 9.219587-3-6.121898+0 9.383148-3-5.253651+0 9.613634-3-4.408935+0 9.907366-3-3.614949+0 1.027432-2-2.875054+0 1.068502-2-2.267511+0 1.111157-2-1.793743+0 1.154990-2-1.418302+0 1.195791-2-1.140978+0 1.242948-2-8.947568-1 1.274934-2-7.611812-1 1.307114-2-6.484623-1 1.335627-2-5.672895-1 1.369156-2-4.850802-1 1.423937-2-3.750497-1 1.466381-2-3.073238-1 1.506973-2-2.573190-1 1.566751-2-2.046210-1 1.605957-2-1.804133-1 1.671339-2-1.549410-1 1.709071-2-1.471360-1 1.767625-2-1.439844-1 1.837271-2-1.491419-1 1.933886-2-1.691444-1 1.994365-2-1.872872-1 2.131548-2-2.417291-1 2.430105-2-3.876606-1 3.947769-2-1.213550+0 4.390217-2-1.511917+0 4.717623-2-1.814833+0 4.948360-2-2.133957+0 5.098855-2-2.458974+0 5.192804-2-2.779344+0 5.257864-2-3.146785+0 5.302625-2-3.589675+0 5.363241-2-4.348990+0 5.391531-2-4.420987+0 5.421720-2-4.167007+0 5.488796-2-3.236706+0 5.529200-2-2.859959+0 5.588779-2-2.498416+0 5.682273-2-2.122416+0 5.812192-2-1.777414+0 5.967169-2-1.485195+0 6.148982-2-1.237776+0 6.356865-2-1.032119+0 6.636252-2-8.363928-1 6.942903-2-6.808974-1 7.244360-2-5.670354-1 7.442163-2-5.081901-1 7.865349-2-4.133691-1 8.258002-2-3.522335-1 8.655506-2-3.101825-1 9.081586-2-2.789940-1 9.791817-2-2.487013-1 1.032793-1-2.367744-1 1.112113-1-2.322594-1 1.244309-1-2.428207-1 1.663501-1-3.125219-1 2.212098-1-3.921544-1 2.898913-1-4.561388-1 3.954395-1-5.099438-1 5.709301-1-5.498357-1 9.677746-1-5.772206-1 2.947480+0-5.900753-1 8.901248+0-5.923575-1 1.000000+1-5.919583-1 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.200275-1 1.117966-6 2.046742-1 1.169699-6 2.564936-1 1.218249-6 3.155921-1 1.286231-6 4.203422-1 1.328269-6 5.001758-1 1.367678-6 5.880434-1 1.404625-6 6.838891-1 1.439263-6 7.875810-1 1.471735-6 8.989144-1 1.502179-6 1.017615+0 1.530719-6 1.143343+0 1.557476-6 1.275699+0 1.606077-6 1.558432+0 1.628124-6 1.707911+0 1.648792-6 1.863362+0 1.687547-6 2.195341+0 1.721457-6 2.536838+0 1.751128-6 2.884157+0 1.777090-6 3.232085+0 1.799807-6 3.575860+0 1.819684-6 3.911897+0 1.837077-6 4.237925+0 1.867514-6 4.884105+0 1.890342-6 5.442524+0 1.907463-6 5.914141+0 1.933145-6 6.716920+0 1.968469-6 8.036500+0 1.992576-6 9.126155+0 2.016683-6 1.040992+1 2.040790-6 1.193353+1 2.055254-6 1.298849+1 2.076729-6 1.478162+1 2.095520-6 1.661467+1 2.111961-6 1.847011+1 2.126348-6 2.032765+1 2.138936-6 2.216731+1 2.149951-6 2.396969+1 2.159589-6 2.571578+1 2.176455-6 2.921669+1 2.189105-6 3.229093+1 2.198592-6 3.490372+1 2.212823-6 3.941825+1 2.227054-6 4.481734+1 2.238017-6 4.974885+1 2.248980-6 5.553938+1 2.259944-6 6.241968+1 2.265425-6 6.636348+1 2.270907-6 7.070901+1 2.276388-6 7.551921+1 2.281870-6 8.087196+1 2.287352-6 8.686520+1 2.292833-6 9.362472+1 2.298315-6 1.013162+2 2.303796-6 1.101639+2 2.309278-6 1.204785+2 2.314760-6 1.326977+2 2.320241-6 1.474396+2 2.325723-6 1.655659+2 2.331204-6 1.882451+2 2.336686-6 2.169972+2 2.340404-6 2.408967+2 2.343658-6 2.653245+2 2.346505-6 2.897790+2 2.351176-6 3.370051+2 2.354990-6 3.829413+2 2.368162-6 6.003758+2 2.372258-6 6.871341+2 2.375170-6 7.537947+2 2.378083-6 8.239896+2 2.383907-6 9.718898+2 2.384635-6 9.907856+2 2.389732-6 1.122822+3 2.391734-6 1.173559+3 2.395557-6 1.266222+3 2.397559-6 1.311609+3 2.399470-6 1.352300+3 2.401381-6 1.389980+3 2.403930-6 1.434811+3 2.406387-6 1.471392+3 2.408662-6 1.498781+3 2.410573-6 1.516582+3 2.413031-6 1.532059+3 2.416307-6 1.539111+3 2.419037-6 1.532794+3 2.420051-6 1.527610+3 2.422366-6 1.510078+3 2.424950-6 1.481353+3 2.427001-6 1.451993+3 2.429798-6 1.403182+3 2.432183-6 1.354269+3 2.436329-6 1.255617+3 2.438610-6 1.195308+3 2.440161-6 1.152391+3 2.442882-6 1.074178+3 2.445470-6 9.974831+2 2.447979-6 9.221268+2 2.450527-6 8.456113+2 2.453189-6 7.667979+2 2.456716-6 6.658658+2 2.459264-6 5.964553+2 2.459992-6 5.772747+2 2.463405-6 4.917369+2 2.465453-6 4.441761+2 2.471641-6 3.193464+2 2.475310-6 2.593591+2 2.481084-6 1.860443+2 2.483576-6 1.620948+2 2.485429-6 1.471730+2 2.486781-6 1.377899+2 2.488319-6 1.286345+2 2.489707-6 1.217254+2 2.490960-6 1.165709+2 2.492188-6 1.125028+2 2.492991-6 1.103585+2 2.493781-6 1.086444+2 2.494560-6 1.073389+2 2.496092-6 1.058677+2 2.497576-6 1.058237+2 2.500452-6 1.095961+2 2.511238-6 1.711798+2 2.515282-6 2.160943+2 2.524627-6 3.789252+2 2.529072-6 4.924671+2 2.532475-6 5.986471+2 2.535081-6 6.925699+2 2.538805-6 8.476703+2 2.542583-6 1.032262+3 2.546002-6 1.224668+3 2.547928-6 1.344113+3 2.549853-6 1.471689+3 2.552984-6 1.696500+3 2.556114-6 1.942673+3 2.562766-6 2.531997+3 2.564234-6 2.672769+3 2.568085-6 3.057131+3 2.571045-6 3.363671+3 2.574896-6 3.770641+3 2.578076-6 4.107125+3 2.581157-6 4.427740+3 2.584336-6 4.746668+3 2.587418-6 5.038199+3 2.590157-6 5.278004+3 2.593183-6 5.516852+3 2.594070-6 5.580931+3 2.597738-6 5.814269+3 2.600603-6 5.957577+3 2.603940-6 6.077618+3 2.606652-6 6.136068+3 2.612656-6 6.137345+3 2.614368-6 6.105650+3 2.619113-6 5.947189+3 2.622093-6 5.798290+3 2.624982-6 5.621597+3 2.628161-6 5.394932+3 2.631243-6 5.148201+3 2.633982-6 4.910979+3 2.636623-6 4.670066+3 2.640634-6 4.289210+3 2.643764-6 3.985886+3 2.647286-6 3.645137+3 2.650025-6 3.384394+3 2.656286-6 2.816682+3 2.658438-6 2.633822+3 2.662547-6 2.305876+3 2.668025-6 1.915842+3 2.674444-6 1.530291+3 2.684213-6 1.083979+3 2.689737-6 8.968851+2 2.692482-6 8.186846+2 2.695217-6 7.494049+2 2.697941-6 6.881099+2 2.703367-6 5.858291+2 2.708752-6 5.058118+2 2.714094-6 4.428428+2 2.719395-6 3.927838+2 2.724654-6 3.524511+2 2.729872-6 3.194547+2 2.735049-6 2.920300+2 2.740186-6 2.688870+2 2.745283-6 2.490843+2 2.750340-6 2.319316+2 2.755357-6 2.169170+2 2.765313-6 1.917635+2 2.775114-6 1.716026+2 2.784762-6 1.550853+2 2.794259-6 1.413196+2 2.803607-6 1.296879+2 2.812810-6 1.197462+2 2.821869-6 1.111654+2 2.830786-6 1.036951+2 2.839564-6 9.714128+1 2.848204-6 9.135042+1 2.865216-6 8.152201+1 2.881695-6 7.358607+1 2.897660-6 6.706135+1 2.913126-6 6.161940+1 2.928108-6 5.702509+1 2.942623-6 5.310539+1 2.956683-6 4.972988+1 2.970305-6 4.679675+1 2.996696-6 4.188219+1 3.021438-6 3.801110+1 3.044633-6 3.490049+1 3.072000-6 3.174750+1 3.105878-6 2.846540+1 3.141714-6 2.557362+1 3.173071-6 2.341884+1 3.200508-6 2.177611+1 3.248522-6 1.931594+1 3.284533-6 1.774839+1 3.338550-6 1.574778+1 3.425968-6 1.312948+1 3.559574-6 1.013433+1 3.659475-6 8.305519+0 3.734401-6 7.010328+0 3.762499-6 6.522049+0 3.787084-6 6.084006+0 3.808596-6 5.686917+0 3.827419-6 5.324177+0 3.843889-6 4.991013+0 3.858300-6 4.683908+0 3.870910-6 4.400264+0 3.881944-6 4.138219+0 3.891598-6 3.896530+0 3.900046-6 3.674433+0 3.914830-6 3.260403+0 3.925917-6 2.930329+0 3.934233-6 2.675688+0 3.940470-6 2.484259+0 3.948655-6 2.239112+0 3.959180-6 1.952420+0 3.961616-6 1.893919+0 3.968925-6 1.745312+0 3.973797-6 1.675342+0 3.976234-6 1.651343+0 3.978670-6 1.635781+0 3.985979-6 1.648915+0 3.988415-6 1.676522+0 3.989633-6 1.695270+0 3.993896-6 1.789209+0 3.996028-6 1.854069+0 3.998160-6 1.931906+0 3.999378-6 1.982520+0 4.003641-6 2.197322+0 4.006839-6 2.399812+0 4.010587-6 2.686472+0 4.014691-6 3.066602+0 4.020096-6 3.681922+0 4.034348-6 6.011131+0 4.038585-6 6.918469+0 4.044116-6 8.257050+0 4.049267-6 9.659948+0 4.054182-6 1.113440+1 4.058819-6 1.263971+1 4.063510-6 1.426460+1 4.068356-6 1.603588+1 4.072489-6 1.760612+1 4.076784-6 1.927995+1 4.081207-6 2.102981+1 4.085619-6 2.277969+1 4.091840-6 2.520909+1 4.095249-6 2.649997+1 4.100441-6 2.837919+1 4.103947-6 2.957171+1 4.110024-6 3.145533+1 4.112667-6 3.219050+1 4.121928-6 3.429725+1 4.126571-6 3.505163+1 4.130283-6 3.550043+1 4.135281-6 3.588401+1 4.139800-6 3.601351+1 4.143490-6 3.596956+1 4.146258-6 3.585123+1 4.150409-6 3.554287+1 4.154561-6 3.508726+1 4.159721-6 3.433533+1 4.161441-6 3.404334+1 4.168849-6 3.258450+1 4.171319-6 3.203646+1 4.178728-6 3.025578+1 4.181197-6 2.962809+1 4.191075-6 2.703232+1 4.194303-6 2.617572+1 4.203988-6 2.365915+1 4.221604-6 1.956160+1 4.229154-6 1.806754+1 4.236468-6 1.678235+1 4.243553-6 1.568541+1 4.250417-6 1.475283+1 4.263716-6 1.326533+1 4.276184-6 1.218191+1 4.287873-6 1.137111+1 4.304100-6 1.047818+1 4.319378-6 9.806136+0 4.337356-6 9.152393+0 4.368818-6 8.227567+0 4.416011-6 7.113397+0 4.463223-6 6.108910+0 4.474209-6 5.868362+0 4.485195-6 5.619132+0 4.496180-6 5.359100+0 4.507166-6 5.087875+0 4.518152-6 4.808087+0 4.544917-6 4.147313+0 4.553451-6 3.972743+0 4.560854-6 3.850978+0 4.570254-6 3.751058+0 4.573387-6 3.734358+0 4.584588-6 3.756538+0 4.587389-6 3.784268+0 4.595790-6 3.926169+0 4.599641-6 4.021830+0 4.603316-6 4.131485+0 4.606992-6 4.259032+0 4.612242-6 4.471719+0 4.616531-6 4.670997+0 4.625777-6 5.171564+0 4.640597-6 6.125923+0 4.647598-6 6.610968+0 4.651798-6 6.903180+0 4.663000-6 7.655565+0 4.664400-6 7.744524+0 4.674202-6 8.317631+0 4.678052-6 8.514000+0 4.685403-6 8.834664+0 4.691620-6 9.044713+0 4.697456-6 9.187668+0 4.700504-6 9.240986+0 4.706215-6 9.301634+0 4.711926-6 9.312238+0 4.719008-6 9.259707+0 4.727410-6 9.112310+0 4.730210-6 9.044983+0 4.741412-6 8.700828+0 4.752613-6 8.267114+0 4.760298-6 7.937886+0 4.771500-6 7.437707+0 4.785500-6 6.816556+0 4.808573-6 5.896339+0 4.820664-6 5.496466+0 4.832385-6 5.176414+0 4.844106-6 4.930905+0 4.855916-6 4.765174+0 4.861834-6 4.714080+0 4.867752-6 4.684356+0 4.873669-6 4.675550+0 4.878108-6 4.682155+0 4.884765-6 4.711950+0 4.891423-6 4.763323+0 4.900300-6 4.859651+0 4.926930-6 5.242021+0 4.938766-6 5.399286+0 4.942060-6 5.436549+0 4.951944-6 5.525459+0 4.958038-6 5.560923+0 4.962609-6 5.577135+0 4.969465-6 5.584621+0 4.976321-6 5.572600+0 4.986108-6 5.525149+0 4.997944-6 5.430529+0 5.036410-6 5.043636+0 5.049753-6 4.942691+0 5.061641-6 4.878641+0 5.073830-6 4.835600+0 5.092230-6 4.799551+0 5.127558-6 4.748511+0 5.160993-6 4.664748+0 5.279125-6 4.316972+0 5.324267-6 4.170667+0 5.389749-6 3.925834+0 5.452994-6 3.711738+0 5.518359-6 3.511788+0 5.561685-6 3.374250+0 5.625054-6 3.162595+0 5.663075-6 3.028265+0 5.714560-6 2.837230+0 5.766045-6 2.637261+0 5.804886-6 2.480360+0 5.875519-6 2.178019+0 5.936244-6 1.896234+0 5.968224-6 1.738252+0 5.998022-6 1.584394+0 6.020370-6 1.464557+0 6.053893-6 1.277527+0 6.070655-6 1.180823+0 6.087416-6 1.082165+0 6.102399-6 9.925397-1 6.117383-6 9.018887-1 6.132366-6 8.107043-1 6.147350-6 7.197322-1 6.162333-6 6.300994-1 6.177316-6 5.435348-1 6.184808-6 5.021986-1 6.207283-6 3.921873-1 6.214775-6 3.628481-1 6.222267-6 3.391151-1 6.229758-6 3.226671-1 6.237250-6 3.156543-1 6.244742-6 3.208116-1 6.248488-6 3.290003-1 6.252233-6 3.415887-1 6.255979-6 3.591431-1 6.261598-6 3.961819-1 6.264407-6 4.201697-1 6.267217-6 4.482447-1 6.270963-6 4.926664-1 6.273772-6 5.317334-1 6.275879-6 5.645528-1 6.280620-6 6.504988-1 6.285712-6 7.637013-1 6.292146-6 9.426424-1 6.312167-6 1.837823+0 6.319776-6 2.353744+0 6.327150-6 2.971904+0 6.334759-6 3.750670+0 6.342134-6 4.661353+0 6.348994-6 5.663285+0 6.355901-6 6.838419+0 6.362757-6 8.184786+0 6.367429-6 9.211804+0 6.372101-6 1.033202+1 6.379592-6 1.233083+1 6.386148-6 1.429099+1 6.389868-6 1.549258+1 6.399398-6 1.886638+1 6.405386-6 2.119953+1 6.419196-6 2.716454+1 6.424237-6 2.952294+1 6.434840-6 3.473307+1 6.442287-6 3.854149+1 6.449506-6 4.229457+1 6.456166-6 4.576556+1 6.462623-6 4.909362+1 6.469060-6 5.233298+1 6.475843-6 5.561322+1 6.481282-6 5.811116+1 6.488859-6 6.134411+1 6.496467-6 6.424179+1 6.501899-6 6.606450+1 6.508859-6 6.806653+1 6.516251-6 6.975006+1 6.523421-6 7.092059+1 6.530936-6 7.164130+1 6.534043-6 7.178630+1 6.544345-6 7.163146+1 6.551792-6 7.092885+1 6.559011-6 6.980260+1 6.567108-6 6.805952+1 6.574957-6 6.593871+1 6.581951-6 6.374009+1 6.588695-6 6.138916+1 6.598937-6 5.748251+1 6.606930-6 5.423564+1 6.610594-6 5.271050+1 6.621585-6 4.807278+1 6.637229-6 4.154595+1 6.643300-6 3.910464+1 6.654890-6 3.466909+1 6.672183-6 2.873868+1 6.696817-6 2.190638+1 6.713240-6 1.838551+1 6.721451-6 1.690408+1 6.729662-6 1.558923+1 6.737874-6 1.442518+1 6.754296-6 1.248612+1 6.768540-6 1.114785+1 6.782783-6 1.005582+1 6.803565-6 8.788516+0 6.819987-6 7.983261+0 6.846366-6 6.930362+0 6.869255-6 6.176430+0 6.918524-6 4.842332+0 6.967792-6 3.717379+0 7.000637-6 3.025939+0 7.019674-6 2.642105+0 7.036331-6 2.321058+0 7.063659-6 1.854098+0 7.074818-6 1.702875+0 7.084582-6 1.601436+0 7.093125-6 1.544399+0 7.100601-6 1.525439+0 7.107142-6 1.537795+0 7.112865-6 1.574770+0 7.117873-6 1.630119+0 7.122255-6 1.698307+0 7.126090-6 1.774633+0 7.129445-6 1.855254+0 7.132380-6 1.937142+0 7.134949-6 2.017997+0 7.139163-6 2.170440+0 7.143707-6 2.364329+0 7.148391-6 2.598798+0 7.154712-6 2.975969+0 7.162835-6 3.573113+0 7.184486-6 5.884829+0 7.191757-6 6.926009+0 7.200501-6 8.370049+0 7.207364-6 9.653995+0 7.212860-6 1.077860+1 7.222698-6 1.300237+1 7.228718-6 1.449210+1 7.231778-6 1.528525+1 7.242060-6 1.811278+1 7.249088-6 2.017374+1 7.255012-6 2.197772+1 7.261729-6 2.408171+1 7.267879-6 2.604601+1 7.275006-6 2.834626+1 7.282224-6 3.067514+1 7.289968-6 3.313870+1 7.296255-6 3.508625+1 7.304226-6 3.745376+1 7.312201-6 3.967064+1 7.315217-6 4.046160+1 7.323825-6 4.255112+1 7.330606-6 4.400197+1 7.347696-6 4.677865+1 7.353370-6 4.739749+1 7.364202-6 4.813827+1 7.373143-6 4.831216+1 7.381808-6 4.811196+1 7.389511-6 4.764358+1 7.394462-6 4.720656+1 7.403816-6 4.611418+1 7.413719-6 4.461980+1 7.417020-6 4.405443+1 7.425823-6 4.240784+1 7.434626-6 4.059534+1 7.439028-6 3.964122+1 7.452232-6 3.665463+1 7.469838-6 3.257648+1 7.478220-6 3.067307+1 7.517055-6 2.293001+1 7.530755-6 2.077597+1 7.538203-6 1.974360+1 7.549375-6 1.837396+1 7.560547-6 1.720791+1 7.567288-6 1.659564+1 7.576421-6 1.586601+1 7.585554-6 1.524000+1 7.603820-6 1.424686+1 7.622086-6 1.351388+1 7.640352-6 1.294950+1 7.656278-6 1.253732+1 7.695151-6 1.164092+1 7.713417-6 1.122361+1 7.749950-6 1.037569+1 7.815508-6 8.963579+0 7.839687-6 8.523184+0 7.876905-6 7.938468+0 7.932733-6 7.229182+0 8.023377-6 6.304509+0 8.107677-6 5.505716+0 8.144757-6 5.165149+0 8.167398-6 4.978155+0 8.184872-6 4.855076+0 8.204899-6 4.747245+0 8.224946-6 4.685427+0 8.235986-6 4.674458+0 8.247026-6 4.681212+0 8.256000-6 4.700090+0 8.266907-6 4.739124+0 8.276396-6 4.786962+0 8.290629-6 4.880981+0 8.304862-6 4.997766+0 8.346561-6 5.409747+0 8.366468-6 5.601621+0 8.386375-6 5.762283+0 8.396329-6 5.825804+0 8.406282-6 5.876160+0 8.415327-6 5.909719+0 8.428894-6 5.937520+0 8.442461-6 5.938383+0 8.466003-6 5.880519+0 8.485910-6 5.782051+0 8.505608-6 5.651700+0 8.525656-6 5.497314+0 8.557226-6 5.235100+0 8.591813-6 4.951017+0 8.683555-6 4.312472+0 8.704929-6 4.191163+0 8.726302-6 4.082226+0 8.747676-6 3.987894+0 8.769049-6 3.910635+0 8.790423-6 3.852460+0 8.807736-6 3.819937+0 8.825049-6 3.800063+0 8.854543-6 3.791004+0 8.918663-6 3.816247+0 8.940037-6 3.814734+0 8.962198-6 3.798530+0 8.974525-6 3.782055+0 9.005762-6 3.716392+0 9.027766-6 3.652300+0 9.068278-6 3.510189+0 9.159790-6 3.177440+0 9.193977-6 3.071054+0 9.238686-6 2.964736+0 9.261041-6 2.934477+0 9.283395-6 2.925900+0 9.296101-6 2.932318+0 9.308807-6 2.947597+0 9.324640-6 2.979345+0 9.336515-6 3.012255+0 9.356813-6 3.085075+0 9.372522-6 3.153480+0 9.420164-6 3.391982+0 9.443953-6 3.504814+0 9.462337-6 3.578179+0 9.481029-6 3.635178+0 9.494304-6 3.663049+0 9.516274-6 3.684344+0 9.534051-6 3.678840+0 9.556491-6 3.644862+0 9.578092-6 3.587638+0 9.600343-6 3.509132+0 9.633677-6 3.367562+0 9.732520-6 2.927893+0 9.772078-6 2.786210+0 9.804567-6 2.693871+0 9.830014-6 2.638395+0 9.863671-6 2.588594+0 9.895030-6 2.565216+0 9.913964-6 2.560345+0 9.957314-6 2.566786+0 1.000555-5 2.581158+0 1.003005-5 2.582607+0 1.005458-5 2.576802+0 1.007911-5 2.562953+0 1.010374-5 2.541574+0 1.014893-5 2.488968+0 1.022899-5 2.389734+0 1.027613-5 2.341920+0 1.039696-5 2.242673+0 1.056322-5 2.102457+0 1.062317-5 2.046010+0 1.070726-5 1.958122+0 1.084360-5 1.811321+0 1.093887-5 1.725346+0 1.107010-5 1.623496+0 1.119844-5 1.525104+0 1.135011-5 1.412653+0 1.162624-5 1.209308+0 1.202264-5 9.308822-1 1.232927-5 7.329452-1 1.258925-5 5.814222-1 1.275106-5 4.954134-1 1.304217-5 3.563807-1 1.336200-5 2.275286-1 1.358112-5 1.556730-1 1.366875-5 1.312426-1 1.381083-5 9.747458-2 1.403571-5 5.853334-2 1.424653-5 3.936089-2 1.444418-5 3.813524-2 1.452305-5 4.266771-2 1.462947-5 5.384573-2 1.480319-5 8.457919-2 1.496605-5 1.279347-1 1.511872-5 1.825587-1 1.526186-5 2.471472-1 1.539605-5 3.204406-1 1.557892-5 4.344255-1 1.576098-5 5.095636-1 1.594563-5 4.793842-1 1.620320-5 3.659616-1 1.641985-5 2.754779-1 1.654348-5 2.291398-1 1.665166-5 1.922897-1 1.674631-5 1.631532-1 1.691196-5 1.197124-1 1.703620-5 9.400528-2 1.722255-5 6.756307-2 1.735068-5 5.885395-2 1.740890-5 5.780618-2 1.745175-5 5.828707-2 1.746123-5 5.854152-2 1.750000-5 6.015369-2 1.753745-5 6.260315-2 1.758030-5 6.651327-2 1.762315-5 7.164180-2 1.766600-5 7.802801-2 1.770885-5 8.571299-2 1.779455-5 1.051539-1 1.798125-5 1.679281-1 1.809450-5 2.211561-1 1.822305-5 2.971794-1 1.826772-5 3.277412-1 1.847447-5 4.991537-1 1.862087-5 6.538814-1 1.879278-5 8.768576-1 1.892920-5 1.090098+0 1.906562-5 1.339921+0 1.924751-5 1.736598+0 1.938393-5 2.088301+0 1.958720-5 2.711788+0 1.977776-5 3.421074+0 1.995642-5 4.216252+0 2.012390-5 5.096333+0 2.028092-5 6.059058+0 2.056614-5 8.221792+0 2.114374-5 1.493431+1 2.149355-5 2.126113+1 2.176136-5 2.789275+1 2.196641-5 3.443181+1 2.213387-5 4.098641+1 2.225946-5 4.679219+1 2.235366-5 5.174714+1 2.249495-5 6.032550+1 2.263624-5 7.055969+1 2.274767-5 8.006520+1 2.286995-5 9.228520+1 2.297054-5 1.040375+2 2.308197-5 1.192423+2 2.319340-5 1.372586+2 2.330483-5 1.587830+2 2.339537-5 1.794921+2 2.347398-5 2.003626+2 2.352770-5 2.164644+2 2.358341-5 2.350042+2 2.364401-5 2.576286+2 2.371374-5 2.874160+2 2.376253-5 3.110860+2 2.381839-5 3.415798+2 2.387735-5 3.784549+2 2.393507-5 4.202118+2 2.399341-5 4.694716+2 2.405174-5 5.276522+2 2.411008-5 5.972834+2 2.416842-5 6.818950+2 2.422676-5 7.864478+2 2.428510-5 9.179124+2 2.434344-5 1.085998+3 2.437261-5 1.187763+3 2.440178-5 1.303993+3 2.443095-5 1.437045+3 2.446012-5 1.589594+3 2.448555-5 1.740842+3 2.452369-5 2.004622+3 2.456184-5 2.320014+3 2.463513-5 3.104197+3 2.477344-5 5.433647+3 2.483014-5 6.784957+3 2.486849-5 7.842117+3 2.488946-5 8.468936+3 2.493664-5 1.000003+4 2.496001-5 1.081585+4 2.501349-5 1.280315+4 2.503450-5 1.361998+4 2.507460-5 1.521336+4 2.511119-5 1.667871+4 2.512892-5 1.738289+4 2.515648-5 1.845753+4 2.518635-5 1.957772+4 2.521967-5 2.074831+4 2.524926-5 2.169469+4 2.527661-5 2.247351+4 2.529368-5 2.290631+4 2.532712-5 2.362109+4 2.535922-5 2.412561+4 2.539008-5 2.442903+4 2.542726-5 2.454681+4 2.544749-5 2.449506+4 2.550433-5 2.391925+4 2.553166-5 2.342689+4 2.555955-5 2.279256+4 2.558297-5 2.216596+4 2.561182-5 2.128924+4 2.564347-5 2.021419+4 2.566771-5 1.932602+4 2.569493-5 1.827704+4 2.571766-5 1.737039+4 2.574688-5 1.617972+4 2.577744-5 1.492355+4 2.580800-5 1.367544+4 2.584238-5 1.230283+4 2.586911-5 1.127147+4 2.593023-5 9.077968+3 2.595219-5 8.355318+3 2.600233-5 6.850295+3 2.603993-5 5.857553+3 2.607984-5 4.930506+3 2.612362-5 4.057342+3 2.618761-5 3.027653+3 2.632266-5 1.620477+3 2.635288-5 1.412950+3 2.638297-5 1.235452+3 2.641638-5 1.067653+3 2.644355-5 9.507498+2 2.648016-5 8.166127+2 2.650753-5 7.312703+2 2.653995-5 6.441078+2 2.657152-5 5.715172+2 2.659600-5 5.223363+2 2.663550-5 4.540969+2 2.666749-5 4.073764+2 2.670110-5 3.652667+2 2.672891-5 3.351233+2 2.675834-5 3.073377+2 2.681576-5 2.637496+2 2.688910-5 2.254323+2 2.690568-5 2.191191+2 2.695542-5 2.047444+2 2.698307-5 1.994461+2 2.700946-5 1.959770+2 2.703585-5 1.938961+2 2.706448-5 1.930124+2 2.708787-5 1.931996+2 2.711857-5 1.944583+2 2.715804-5 1.973281+2 2.728591-5 2.093731+2 2.735052-5 2.130506+2 2.737892-5 2.135787+2 2.740604-5 2.133699+2 2.743680-5 2.122591+2 2.745453-5 2.111963+2 2.748704-5 2.084701+2 2.751342-5 2.055603+2 2.753407-5 2.028839+2 2.757024-5 1.974548+2 2.758202-5 1.955093+2 2.765347-5 1.823448+2 2.768083-5 1.769038+2 2.775162-5 1.625900+2 2.791426-5 1.328660+2 2.795955-5 1.259494+2 2.803259-5 1.160448+2 2.811206-5 1.067334+2 2.828357-5 9.006876+1 2.848960-5 7.394851+1 2.859044-5 6.759866+1 2.867096-5 6.341665+1 2.873217-5 6.082445+1 2.878707-5 5.895579+1 2.882542-5 5.791154+1 2.887450-5 5.689039+1 2.891701-5 5.629292+1 2.896394-5 5.594943+1 2.901908-5 5.600674+1 2.905310-5 5.633454+1 2.906908-5 5.658151+1 2.911243-5 5.762512+1 2.912721-5 5.813273+1 2.917595-5 6.054949+1 2.920133-5 6.239589+1 2.922314-5 6.440632+1 2.925632-5 6.841286+1 2.928810-5 7.361957+1 2.932977-5 8.315493+1 2.935804-5 9.188274+1 2.938456-5 1.021663+2 2.939721-5 1.078999+2 2.940946-5 1.140277+2 2.943319-5 1.276835+2 2.945544-5 1.428978+2 2.947950-5 1.623752+2 2.949585-5 1.776255+2 2.953137-5 2.172255+2 2.957675-5 2.830606+2 2.965783-5 4.555509+2 2.970250-5 5.884545+2 2.974519-5 7.459473+2 2.978060-5 9.020392+2 2.980423-5 1.020131+3 2.984065-5 1.225382+3 2.986250-5 1.362670+3 2.989916-5 1.617692+3 2.993124-5 1.866650+3 2.993582-5 1.904188+3 3.000914-5 2.570292+3 3.002232-5 2.702483+3 3.008705-5 3.400052+3 3.011068-5 3.671621+3 3.015579-5 4.207741+3 3.019065-5 4.631555+3 3.022113-5 5.003289+3 3.024659-5 5.311074+3 3.027932-5 5.698270+3 3.031115-5 6.060060+3 3.033942-5 6.364388+3 3.037320-5 6.701502+3 3.041356-5 7.057760+3 3.044829-5 7.316712+3 3.048158-5 7.518548+3 3.051662-5 7.677771+3 3.054377-5 7.761801+3 3.057777-5 7.817271+3 3.061352-5 7.815633+3 3.062095-5 7.807657+3 3.067681-5 7.666308+3 3.071079-5 7.513950+3 3.074049-5 7.343421+3 3.077594-5 7.099165+3 3.079720-5 6.933741+3 3.082220-5 6.723481+3 3.085502-5 6.425580+3 3.088667-5 6.119549+3 3.092977-5 5.682081+3 3.097150-5 5.246356+3 3.100358-5 4.909576+3 3.103566-5 4.575800+3 3.110898-5 3.842775+3 3.112322-5 3.707400+3 3.122289-5 2.844397+3 3.130449-5 2.262146+3 3.141502-5 1.653879+3 3.145344-5 1.486768+3 3.149402-5 1.332182+3 3.153460-5 1.197927+3 3.158289-5 1.061581+3 3.162388-5 9.632117+2 3.166426-5 8.797592+2 3.171959-5 7.837486+2 3.182663-5 6.446471+2 3.187573-5 5.964271+2 3.192483-5 5.557100+2 3.200067-5 5.048399+2 3.206825-5 4.695636+2 3.214510-5 4.388785+2 3.219030-5 4.248658+2 3.223550-5 4.134921+2 3.227609-5 4.053143+2 3.232145-5 3.982173+2 3.237302-5 3.924410+2 3.242328-5 3.887855+2 3.247353-5 3.866810+2 3.255543-5 3.855341+2 3.274304-5 3.857519+2 3.283552-5 3.839510+2 3.288974-5 3.818239+2 3.296317-5 3.776710+2 3.300914-5 3.744087+2 3.312790-5 3.643071+2 3.334376-5 3.442557+2 3.349728-5 3.318246+2 3.368518-5 3.197186+2 3.430184-5 2.898007+2 3.464661-5 2.738356+2 3.499018-5 2.599801+2 3.558978-5 2.406467+2 3.611810-5 2.267753+2 3.660300-5 2.158728+2 3.715352-5 2.051719+2 3.780000-5 1.944270+2 3.854017-5 1.839979+2 3.944653-5 1.732409+2 4.071588-5 1.608527+2 4.168694-5 1.529519+2 4.237711-5 1.479809+2 4.373816-5 1.395896+2 4.519030-5 1.321520+2 4.680760-5 1.251917+2 4.841724-5 1.194396+2 5.119617-5 1.111713+2 5.168948-5 1.102895+2 5.242938-5 1.096252+2 5.292800-5 1.088412+2 5.411202-5 1.064339+2 5.658113-5 1.032711+2 5.929087-5 1.009565+2 6.256947-5 9.972764+1 6.650000-5 1.001578+2 6.938251-5 1.015346+2 7.244360-5 1.039091+2 7.811298-5 1.099092+2 8.312075-5 1.165319+2 9.150000-5 1.290249+2 1.071519-4 1.536074+2 1.133196-4 1.624113+2 1.185026-4 1.686969+2 1.225997-4 1.724862+2 1.260511-4 1.745458+2 1.284547-4 1.751870+2 1.306534-4 1.750646+2 1.318822-4 1.746300+2 1.334329-4 1.736341+2 1.348797-4 1.722758+2 1.363866-4 1.703824+2 1.377760-4 1.681018+2 1.390982-4 1.653676+2 1.401875-4 1.626855+2 1.421808-4 1.574039+2 1.429023-4 1.564157+2 1.435664-4 1.568875+2 1.436925-4 1.571736+2 1.442818-4 1.594442+2 1.447335-4 1.622484+2 1.453645-4 1.676682+2 1.459382-4 1.740737+2 1.464599-4 1.811844+2 1.468737-4 1.878266+2 1.470872-4 1.916528+2 1.474560-4 1.990203+2 1.478955-4 2.093022+2 1.483538-4 2.222713+2 1.487565-4 2.362263+2 1.491105-4 2.511960+2 1.494216-4 2.671903+2 1.497038-4 2.847753+2 1.500000-4 3.074135+2 1.501669-4 3.225744+2 1.503560-4 3.423344+2 1.506662-4 3.821224+2 1.507929-4 4.015618+2 1.510681-4 4.516605+2 1.513055-4 5.052414+2 1.514926-4 5.555285+2 1.516796-4 6.140372+2 1.518663-4 6.816682+2 1.521463-4 8.026828+2 1.526556-4 1.092376+3 1.530632-4 1.396222+3 1.533828-4 1.680012+3 1.534973-4 1.790799+3 1.538733-4 2.183720+3 1.539203-4 2.235461+3 1.542753-4 2.638317+3 1.544097-4 2.793668+3 1.545380-4 2.941632+3 1.547130-4 3.140714+3 1.548771-4 3.321983+3 1.550027-4 3.455510+3 1.551822-4 3.635787+3 1.553697-4 3.807418+3 1.555763-4 3.972255+3 1.557716-4 4.100599+3 1.560284-4 4.223197+3 1.562201-4 4.277302+3 1.564413-4 4.297815+3 1.565708-4 4.288603+3 1.569180-4 4.187665+3 1.570363-4 4.128963+3 1.572972-4 3.959783+3 1.574903-4 3.803190+3 1.576031-4 3.701180+3 1.577878-4 3.520200+3 1.579898-4 3.306782+3 1.581691-4 3.108380+3 1.583997-4 2.848120+3 1.585864-4 2.638887+3 1.588065-4 2.400630+3 1.591693-4 2.045461+3 1.595127-4 1.773071+3 1.595515-4 1.747001+3 1.598233-4 1.594384+3 1.598544-4 1.580411+3 1.600928-4 1.497496+3 1.602148-4 1.472009+3 1.603245-4 1.458859+3 1.604424-4 1.454925+3 1.605099-4 1.457340+3 1.606214-4 1.468578+3 1.607475-4 1.491829+3 1.608597-4 1.521467+3 1.610057-4 1.571786+3 1.611743-4 1.644954+3 1.613476-4 1.734827+3 1.616680-4 1.931004+3 1.620496-4 2.193414+3 1.622620-4 2.341669+3 1.624882-4 2.493465+3 1.626611-4 2.601453+3 1.628596-4 2.713293+3 1.630505-4 2.805665+3 1.634367-4 2.937939+3 1.635794-4 2.966385+3 1.638592-4 2.988727+3 1.640059-4 2.982850+3 1.642164-4 2.954094+3 1.643503-4 2.924026+3 1.644851-4 2.885173+3 1.646905-4 2.810944+3 1.648886-4 2.724421+3 1.651465-4 2.594140+3 1.653328-4 2.490720+3 1.655704-4 2.351530+3 1.657130-4 2.265757+3 1.661016-4 2.031137+3 1.671760-4 1.464538+3 1.675373-4 1.318684+3 1.678393-4 1.215343+3 1.681584-4 1.123253+3 1.684701-4 1.048589+3 1.687925-4 9.850893+2 1.691741-4 9.249177+2 1.696986-4 8.627236+2 1.701342-4 8.243007+2 1.707739-4 7.824941+2 1.716575-4 7.423326+2 1.730891-4 6.993264+2 1.743820-4 6.729716+2 1.756703-4 6.546565+2 1.772213-4 6.404584+2 1.786979-4 6.326485+2 1.805000-4 6.281343+2 1.825500-4 6.269781+2 1.851592-4 6.284182+2 1.927525-4 6.347128+2 2.039468-4 6.342150+2 2.237500-4 6.246336+2 2.337000-4 6.215701+2 2.438650-4 6.207097+2 2.772123-4 6.237882+2 2.860575-4 6.212555+2 2.923647-4 6.117919+2 2.939354-4 6.110088+2 2.950495-4 6.127182+2 2.960858-4 6.165831+2 2.975541-4 6.258496+2 3.009926-4 6.545965+2 3.023409-4 6.632384+2 3.039591-4 6.699204+2 3.061078-4 6.743726+2 3.278218-4 7.008122+2 3.348692-4 7.073256+2 3.382109-4 7.129082+2 3.452060-4 7.308219+2 3.543031-4 7.510590+2 3.737359-4 7.813621+2 3.954989-4 8.076431+2 4.135748-4 8.237672+2 4.194536-4 8.314885+2 4.327242-4 8.583598+2 4.550000-4 8.905018+2 4.883712-4 9.267958+2 5.308844-4 9.626785+2 5.804302-4 9.934802+2 6.346272-4 1.015860+3 6.925676-4 1.025849+3 7.542234-4 1.026579+3 8.194250-4 1.017462+3 8.748000-4 1.001622+3 9.358383-4 9.752305+2 9.888504-4 9.429482+2 1.039005-3 9.026480+2 1.087052-3 8.561879+2 1.130217-3 8.058355+2 1.167112-3 7.543775+2 1.200010-3 6.999222+2 1.225819-3 6.496908+2 1.244675-3 6.071971+2 1.262478-3 5.611418+2 1.277524-3 5.164167+2 1.289456-3 4.760300+2 1.296884-3 4.491904+2 1.305894-3 4.213257+2 1.312382-3 4.161454+2 1.313100-3 4.170488+2 1.318667-3 4.386467+2 1.319600-3 4.451949+2 1.322848-3 4.754147+2 1.326096-3 5.172104+2 1.329521-3 5.723595+2 1.333110-3 6.383032+2 1.336182-3 6.965701+2 1.338735-3 7.426958+2 1.341688-3 7.899289+2 1.342515-3 8.015619+2 1.345763-3 8.393925+2 1.347935-3 8.574479+2 1.349031-3 8.644734+2 1.350906-3 8.736510+2 1.353980-3 8.828970+2 1.359113-3 8.937070+2 1.361830-3 9.035068+2 1.363111-3 9.101499+2 1.364977-3 9.226038+2 1.368260-3 9.529078+2 1.371835-3 9.965421+2 1.377725-3 1.078330+3 1.380504-3 1.113223+3 1.381704-3 1.126299+3 1.385016-3 1.153994+3 1.388469-3 1.167679+3 1.390671-3 1.168096+3 1.391860-3 1.165825+3 1.393714-3 1.159193+3 1.396486-3 1.143584+3 1.404682-3 1.081598+3 1.407920-3 1.060659+3 1.411240-3 1.045428+3 1.414836-3 1.037237+3 1.417790-3 1.036893+3 1.421320-3 1.043090+3 1.426839-3 1.063543+3 1.433541-3 1.098153+3 1.441972-3 1.145725+3 1.453814-3 1.209386+3 1.467898-3 1.278046+3 1.485637-3 1.355890+3 1.509263-3 1.445692+3 1.530093-3 1.508328+3 1.546678-3 1.546300+3 1.565222-3 1.578065+3 1.583679-3 1.601308+3 1.607627-3 1.622747+3 1.624703-3 1.632338+3 1.648482-3 1.637817+3 1.666074-3 1.634617+3 1.692274-3 1.625968+3 1.704118-3 1.632424+3 1.710561-3 1.641790+3 1.722883-3 1.671299+3 1.742252-3 1.733433+3 1.757331-3 1.779265+3 1.766879-3 1.804087+3 1.778851-3 1.830012+3 1.790708-3 1.850189+3 1.809134-3 1.872898+3 1.830704-3 1.890334+3 1.880087-3 1.911343+3 1.889614-3 1.918342+3 1.909728-3 1.942739+3 1.944209-3 1.995876+3 1.958616-3 2.014086+3 1.977700-3 2.032674+3 2.001259-3 2.048469+3 2.028217-3 2.059212+3 2.083262-3 2.066163+3 2.106735-3 2.082956+3 2.150980-3 2.134076+3 2.172219-3 2.150611+3 2.202035-3 2.166422+3 2.278306-3 2.190496+3 2.377353-3 2.205381+3 2.492980-3 2.207894+3 2.698934-3 2.192062+3 2.904246-3 2.158034+3 3.135372-3 2.108505+3 3.311311-3 2.065962+3 3.665301-3 1.971815+3 3.950269-3 1.894437+3 4.245644-3 1.810841+3 4.642981-3 1.702137+3 4.855024-3 1.645779+3 5.071055-3 1.589447+3 5.295491-3 1.531980+3 5.530444-3 1.473142+3 5.779297-3 1.412768+3 6.036984-3 1.350946+3 6.277114-3 1.294158+3 6.503168-3 1.241421+3 6.709942-3 1.192697+3 6.892863-3 1.149230+3 7.057339-3 1.109188+3 7.195816-3 1.073771+3 7.325774-3 1.039263+3 7.438817-3 1.007518+3 7.535780-3 9.782563+2 7.614692-3 9.522720+2 7.683213-3 9.273170+2 7.744234-3 9.022799+2 7.794145-3 8.787005+2 7.834666-3 8.565741+2 7.866672-3 8.368544+2 7.936758-3 7.890032+2 7.973984-3 7.655386+2 8.006269-3 7.504219+2 8.029662-3 7.440917+2 8.044509-3 7.424339+2 8.066384-3 7.434510+2 8.093206-3 7.499965+2 8.124095-3 7.633510+2 8.201938-3 8.080328+2 8.229398-3 8.225661+2 8.255249-3 8.343724+2 8.286353-3 8.459539+2 8.321301-3 8.557842+2 8.366338-3 8.644023+2 8.414304-3 8.698497+2 8.474204-3 8.727486+2 8.529192-3 8.723778+2 8.588248-3 8.690325+2 8.645954-3 8.626683+2 8.692966-3 8.549803+2 8.842005-3 8.229502+2 8.887751-3 8.183332+2 8.929495-3 8.196070+2 8.975501-3 8.268607+2 9.090340-3 8.547374+2 9.152169-3 8.647192+2 9.225020-3 8.697238+2 9.295841-3 8.728513+2 9.356517-3 8.790045+2 9.442832-3 8.951926+2 9.558765-3 9.190162+2 9.656710-3 9.320215+2 9.727215-3 9.377248+2 9.867778-3 9.440280+2 1.003288-2 9.464408+2 1.036162-2 9.424249+2 1.063945-2 9.336394+2 1.107113-2 9.142884+2 1.163540-2 8.838823+2 1.230268-2 8.447496+2 1.302421-2 8.013177+2 1.394177-2 7.478662+2 1.531730-2 6.747118+2 1.693149-2 6.002586+2 1.902448-2 5.202923+2 2.104435-2 4.573484+2 2.261388-2 4.158842+2 2.522811-2 3.574160+2 2.738420-2 3.170138+2 3.079244-2 2.647769+2 3.467369-2 2.194338+2 3.760741-2 1.922109+2 4.039551-2 1.701134+2 4.341713-2 1.495319+2 4.610038-2 1.337405+2 4.839957-2 1.216419+2 5.016216-2 1.129036+2 5.149039-2 1.063770+2 5.253843-2 1.010284+2 5.331654-2 9.669624+1 5.364461-2 9.466631+1 5.391436-2 9.283538+1 5.432848-2 8.961289+1 5.483576-2 8.503559+1 5.519320-2 8.204634+1 5.539298-2 8.083868+1 5.558023-2 8.017117+1 5.574000-2 8.000046+1 5.593333-2 8.026865+1 5.618380-2 8.123507+1 5.685037-2 8.489215+1 5.721929-2 8.639830+1 5.757774-2 8.730600+1 5.807468-2 8.791896+1 5.865934-2 8.808405+1 5.948176-2 8.777991+1 6.031509-2 8.711976+1 6.208244-2 8.514066+1 6.392005-2 8.262182+1 6.666379-2 7.854430+1 6.938496-2 7.446895+1 7.414949-2 6.770394+1 7.913137-2 6.130296+1 8.557464-2 5.404896+1 9.637566-2 4.429688+1 1.090684-1 3.577002+1 1.232005-1 2.877445+1 1.720049-1 1.564182+1 2.133519-1 1.050346+1 2.579927-1 7.338148+0 3.353875-1 4.434689+0 4.740032-1 2.264466+0 7.218018-1 9.927007-1 1.228714+0 3.467280-1 2.451607+0 8.764638-2 7.403736+0 9.628757-3 2.235892+1 1.055990-3 6.752287+1 1.157896-4 2.039158+2 1.269611-5 6.158159+2 1.392101-6 1.995262+3 1.326089-7 6.309573+3 1.326089-8 1.995262+4 1.326089-9 6.309573+4 1.32609-10 1.000000+5 5.27925-11 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.183300-6 1.258900-6 3.460200-6 1.584900-6 5.484100-6 1.995300-6 8.691700-6 2.511900-6 1.377500-5 3.162300-6 2.183200-5 3.981100-6 3.460200-5 5.011900-6 5.484000-5 6.309600-6 8.691500-5 7.943300-6 1.377500-4 1.000000-5 2.183200-4 1.258900-5 3.460000-4 1.584900-5 5.480900-4 1.995300-5 8.681000-4 2.511900-5 1.375100-3 3.162300-5 2.178500-3 3.981100-5 3.451600-3 5.011900-5 5.469100-3 6.309600-5 8.666200-3 7.943300-5 1.371800-2 1.000000-4 2.170200-2 1.258900-4 3.429000-2 1.584900-4 5.408300-2 1.995300-4 8.505600-2 2.511900-4 1.332200-1 3.162300-4 2.073100-1 3.981100-4 3.190600-1 5.011900-4 4.822500-1 6.309600-4 7.114900-1 7.943300-4 1.018200+0 1.000000-3 1.408800+0 1.258900-3 1.888400+0 1.584900-3 2.478200+0 1.995300-3 3.220100+0 2.511900-3 4.154800+0 3.162300-3 5.304000+0 3.981100-3 6.674400+0 5.011900-3 8.274200+0 6.309600-3 1.006800+1 7.943300-3 1.203400+1 1.000000-2 1.415300+1 1.258900-2 1.641200+1 1.584900-2 1.883600+1 1.995300-2 2.126800+1 2.511900-2 2.354600+1 3.162300-2 2.550500+1 3.981100-2 2.707200+1 5.011900-2 2.820300+1 6.309600-2 2.888600+1 7.943300-2 2.909300+1 1.000000-1 2.880800+1 1.258900-1 2.806700+1 1.584900-1 2.701500+1 1.995300-1 2.566700+1 2.511900-1 2.412600+1 3.162300-1 2.246100+1 3.981100-1 2.074200+1 5.011900-1 1.900800+1 6.309600-1 1.729900+1 7.943300-1 1.563900+1 1.000000+0 1.404200+1 1.258900+0 1.253800+1 1.584900+0 1.111600+1 1.995300+0 9.790600+0 2.511900+0 8.567900+0 3.162300+0 7.451100+0 3.981100+0 6.441400+0 5.011900+0 5.537300+0 6.309600+0 4.735000+0 7.943300+0 4.029600+0 1.000000+1 3.414200+0 1.258900+1 2.880900+0 1.584900+1 2.422100+0 1.995300+1 2.029600+0 2.511900+1 1.695600+0 3.162300+1 1.412700+0 3.981100+1 1.174200+0 5.011900+1 9.737600-1 6.309600+1 8.059200-1 7.943300+1 6.658000-1 1.000000+2 5.491300-1 1.258900+2 4.522200-1 1.584900+2 3.719000-1 1.995300+2 3.054500-1 2.511900+2 2.505800-1 3.162300+2 2.053500-1 3.981100+2 1.681100-1 5.011900+2 1.375000-1 6.309600+2 1.123600-1 7.943300+2 9.174100-2 1.000000+3 7.485000-2 1.258900+3 6.102400-2 1.584900+3 4.971800-2 1.995300+3 4.048100-2 2.511900+3 3.294000-2 3.162300+3 2.678800-2 3.981100+3 2.177400-2 5.011900+3 1.768800-2 6.309600+3 1.436200-2 7.943300+3 1.165600-2 1.000000+4 9.455400-3 1.258900+4 7.667000-3 1.584900+4 6.214200-3 1.995300+4 5.034600-3 2.511900+4 4.077400-3 3.162300+4 3.301000-3 3.981100+4 2.671400-3 5.011900+4 2.161200-3 6.309600+4 1.747800-3 7.943300+4 1.413100-3 1.000000+5 1.142100-3 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159551-4 3.981072-4 3.976778-4 5.011872-4 5.005112-4 6.309573-4 6.298960-4 7.943282-4 7.926675-4 1.000000-3 9.974061-4 1.258925-3 1.254889-3 1.584893-3 1.578581-3 1.995262-3 1.985357-3 2.511886-3 2.496303-3 3.162278-3 3.137846-3 3.981072-3 3.942759-3 5.011872-3 4.951917-3 6.309573-3 6.215902-3 7.943282-3 7.797725-3 1.000000-2 9.773732-3 1.258925-2 1.223718-2 1.584893-2 1.530351-2 1.995262-2 1.910969-2 2.511886-2 2.382450-2 3.162278-2 2.964948-2 3.981072-2 3.682012-2 5.011872-2 4.561492-2 6.309573-2 5.634763-2 7.943282-2 6.940020-2 1.000000-1 8.523998-2 1.258925-1 1.043589-1 1.584893-1 1.272561-1 1.995262-1 1.547370-1 2.511886-1 1.875301-1 3.162278-1 2.265400-1 3.981072-1 2.727496-1 5.011872-1 3.274089-1 6.309573-1 3.919152-1 7.943282-1 4.679458-1 1.000000+0 5.574849-1 1.258925+0 6.626229-1 1.584893+0 7.870136-1 1.995262+0 9.341170-1 2.511886+0 1.108703+0 3.162278+0 1.316410+0 3.981072+0 1.564391+0 5.011872+0 1.861185+0 6.309573+0 2.217611+0 7.943282+0 2.646008+0 1.000000+1 3.162625+0 1.258925+1 3.786637+0 1.584893+1 4.541809+0 1.995262+1 5.457028+0 2.511886+1 6.567742+0 3.162278+1 7.917742+0 3.981072+1 9.560267+0 5.011872+1 1.156110+1 6.309573+1 1.400075+1 7.943282+1 1.697838+1 1.000000+2 2.061575+1 1.258925+2 2.506277+1 1.584893+2 3.050476+1 1.995262+2 3.716799+1 2.511886+2 4.533315+1 3.162278+2 5.534576+1 3.981072+2 6.763025+1 5.011872+2 8.271360+1 6.309573+2 1.012430+2 7.943282+2 1.240189+2 1.000000+3 1.520287+2 1.258925+3 1.864937+2 1.584893+3 2.289205+2 1.995262+3 2.811751+2 2.511886+3 3.455586+2 3.162278+3 4.249391+2 3.981072+3 5.228242+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88194-10 1.995262-5 1.090621-9 2.511886-5 1.728490-9 3.162278-5 2.739505-9 3.981072-5 4.341875-9 5.011872-5 6.881394-9 6.309573-5 1.090599-8 7.943282-5 1.727910-8 1.000000-4 2.737748-8 1.258925-4 4.336939-8 1.584893-4 6.868704-8 1.995262-4 1.087387-7 2.511886-4 1.720755-7 3.162278-4 2.727090-7 3.981072-4 4.293886-7 5.011872-4 6.760772-7 6.309573-4 1.061340-6 7.943282-4 1.660695-6 1.000000-3 2.593930-6 1.258925-3 4.036340-6 1.584893-3 6.311716-6 1.995262-3 9.904890-6 2.511886-3 1.558303-5 3.162278-3 2.443180-5 3.981072-3 3.831234-5 5.011872-3 5.995493-5 6.309573-3 9.367165-5 7.943282-3 1.455569-4 1.000000-2 2.262684-4 1.258925-2 3.520747-4 1.584893-2 5.454187-4 1.995262-2 8.429355-4 2.511886-2 1.294361-3 3.162278-2 1.973296-3 3.981072-2 2.990598-3 5.011872-2 4.503799-3 6.309573-2 6.748105-3 7.943282-2 1.003263-2 1.000000-1 1.476002-2 1.258925-1 2.153363-2 1.584893-1 3.123324-2 1.995262-1 4.478928-2 2.511886-1 6.365855-2 3.162278-1 8.968776-2 3.981072-1 1.253576-1 5.011872-1 1.737784-1 6.309573-1 2.390422-1 7.943282-1 3.263824-1 1.000000+0 4.425151-1 1.258925+0 5.963026-1 1.584893+0 7.978796-1 1.995262+0 1.061145+0 2.511886+0 1.403183+0 3.162278+0 1.845868+0 3.981072+0 2.416681+0 5.011872+0 3.150688+0 6.309573+0 4.091963+0 7.943282+0 5.297274+0 1.000000+1 6.837375+0 1.258925+1 8.802617+0 1.584893+1 1.130712+1 1.995262+1 1.449559+1 2.511886+1 1.855112+1 3.162278+1 2.370503+1 3.981072+1 3.025045+1 5.011872+1 3.855763+1 6.309573+1 4.909498+1 7.943282+1 6.245444+1 1.000000+2 7.938425+1 1.258925+2 1.008298+2 1.584893+2 1.279846+2 1.995262+2 1.623582+2 2.511886+2 2.058555+2 3.162278+2 2.608820+2 3.981072+2 3.304769+2 5.011872+2 4.184736+2 6.309573+2 5.297144+2 7.943282+2 6.703093+2 1.000000+3 8.479713+2 1.258925+3 1.072432+3 1.584893+3 1.355973+3 1.995262+3 1.714087+3 2.511886+3 2.166328+3 3.162278+3 2.737339+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.420000-6 4.261959+6 6.025596-6 2.708890+6 6.606934-6 1.813109+6 7.200000-6 1.238292+6 7.852356-6 8.369455+5 8.511380-6 5.777459+5 9.332543-6 3.753455+5 9.730000-6 3.077216+5 9.730000-6 1.171925+6 1.011579-5 1.059592+6 1.023293-5 1.030623+6 1.050000-5 9.692316+5 1.080000-5 9.114472+5 1.080000-5 1.503397+6 1.096478-5 1.458576+6 1.115000-5 1.413275+6 1.135011-5 1.369023+6 1.161449-5 1.317238+6 1.180000-5 1.284487+6 1.202264-5 1.249592+6 1.220100-5 1.224642+6 1.255000-5 1.182073+6 1.258925-5 1.177801+6 1.273503-5 1.163515+6 1.303167-5 1.136202+6 1.336200-5 1.112867+6 1.350000-5 1.103736+6 1.352100-5 1.102494+6 1.380384-5 1.088630+6 1.400000-5 1.079660+6 1.428894-5 1.070821+6 1.445440-5 1.066132+6 1.450000-5 1.065199+6 1.462177-5 1.063441+6 1.500000-5 1.058613+6 1.531087-5 1.058887+6 1.550000-5 1.059269+6 1.570000-5 1.062039+6 1.610000-5 1.067974+6 1.611900-5 1.068484+6 1.650000-5 1.078974+6 1.670000-5 1.084606+6 1.678804-5 1.087513+6 1.690000-5 1.091922+6 1.730000-5 1.107886+6 1.737801-5 1.111035+6 1.750000-5 1.116507+6 1.770000-5 1.126675+6 1.800000-5 1.142064+6 1.815000-5 1.150379+6 1.830000-5 1.158757+6 1.862087-5 1.178530+6 1.870000-5 1.183441+6 1.905461-5 1.206965+6 1.920000-5 1.216673+6 1.950000-5 1.238347+6 2.000000-5 1.276907+6 2.018366-5 1.291189+6 2.041738-5 1.310591+6 2.065380-5 1.331218+6 2.137962-5 1.395322+6 2.213095-5 1.468990+6 2.238721-5 1.494458+6 2.290868-5 1.548462+6 2.300000-5 1.558373+6 2.371374-5 1.636787+6 2.426610-5 1.700255+6 2.500000-5 1.786169+6 2.540973-5 1.835788+6 2.858000-5 2.248641+6 2.858000-5 2.250988+7 2.890000-5 2.122941+7 2.930000-5 1.984560+7 2.990000-5 1.810829+7 3.000000-5 1.785826+7 3.019952-5 1.737522+7 3.060000-5 1.646460+7 3.126079-5 1.519278+7 3.198895-5 1.403962+7 3.230000-5 1.359375+7 3.235937-5 1.351614+7 3.300000-5 1.273079+7 3.350000-5 1.217663+7 3.389000-5 1.179723+7 3.389000-5 2.071969+7 3.440000-5 1.954909+7 3.467369-5 1.898770+7 3.507519-5 1.821076+7 3.548134-5 1.751870+7 3.589219-5 1.686287+7 3.672823-5 1.570244+7 3.715352-5 1.518422+7 3.730000-5 1.501305+7 3.780000-5 1.446457+7 3.801894-5 1.424455+7 3.920000-5 1.316826+7 3.935501-5 1.304370+7 4.073803-5 1.204434+7 4.120975-5 1.174409+7 4.168694-5 1.146565+7 4.220000-5 1.118692+7 4.365158-5 1.050028+7 4.415704-5 1.028985+7 4.518559-5 9.901530+6 4.677351-5 9.403499+6 4.731513-5 9.255468+6 4.841724-5 8.983570+6 5.011872-5 8.646028+6 5.069907-5 8.546221+6 5.188000-5 8.364000+6 5.300000-5 8.218552+6 5.432503-5 8.080990+6 5.519000-5 7.999356+6 5.519000-5 8.051454+6 5.559043-5 8.017103+6 5.620000-5 7.969127+6 5.688529-5 7.921360+6 5.730000-5 7.896222+6 5.850000-5 7.834834+6 5.900000-5 7.813889+6 5.970000-5 7.782045+6 6.025596-5 7.760067+6 6.095369-5 7.737464+6 6.237348-5 7.703191+6 6.309573-5 7.691802+6 6.400000-5 7.673501+6 6.531306-5 7.657368+6 6.650000-5 7.650016+6 6.760830-5 7.648871+6 6.800000-5 7.648611+6 6.839116-5 7.646424+6 7.079458-5 7.645585+6 7.161434-5 7.650072+6 7.244360-5 7.652803+6 7.413102-5 7.652473+6 7.585776-5 7.660404+6 7.762471-5 7.666455+6 7.800000-5 7.666544+6 7.852356-5 7.666915+6 8.035261-5 7.670957+6 8.128305-5 7.671346+6 8.150000-5 7.671738+6 8.222426-5 7.673265+6 8.500000-5 7.667792+6 8.511380-5 7.667778+6 8.609938-5 7.663964+6 8.709636-5 7.661107+6 8.810489-5 7.658871+6 9.120108-5 7.643474+6 9.150000-5 7.641405+6 9.440609-5 7.624381+6 9.549926-5 7.613979+6 9.660509-5 7.604283+6 9.800000-5 7.593019+6 1.000000-4 7.571707+6 1.011579-4 7.560257+6 1.020000-4 7.552182+6 1.035142-4 7.538460+6 1.047129-4 7.523940+6 1.071519-4 7.496067+6 1.100000-4 7.458956+6 1.109175-4 7.447558+6 1.122018-4 7.428030+6 1.150000-4 7.387249+6 1.161449-4 7.368217+6 1.174898-4 7.346415+6 1.202264-4 7.303627+6 1.230269-4 7.251469+6 1.244515-4 7.225896+6 1.288250-4 7.139980+6 1.288400-4 7.139651+6 1.303167-4 7.107661+6 1.318257-4 7.075718+6 1.350000-4 7.003543+6 1.380384-4 6.937067+6 1.400000-4 6.888923+6 1.412538-4 6.858815+6 1.480000-4 6.690598+6 1.500000-4 6.643137+6 1.513561-4 6.605940+6 1.548817-4 6.511801+6 1.603245-4 6.373427+6 1.621810-4 6.324751+6 1.625630-4 6.314159+6 1.662300-4 6.214615+6 1.662300-4 6.646092+6 1.667000-4 6.646867+6 1.698244-4 6.674914+6 1.700000-4 6.677256+6 1.711000-4 6.691709+6 1.720000-4 6.702847+6 1.723000-4 6.706336+6 1.732800-4 6.714933+6 1.736300-4 6.717087+6 1.736300-4 7.017690+6 1.737801-4 7.020607+6 1.740000-4 7.024960+6 1.743000-4 7.029734+6 1.750000-4 7.043243+6 1.760000-4 7.060462+6 1.770000-4 7.073864+6 1.781000-4 7.083973+6 1.792000-4 7.089342+6 1.793000-4 7.089433+6 1.800000-4 7.089047+6 1.805000-4 7.087085+6 1.810000-4 7.084243+6 1.815000-4 7.079603+6 1.820000-4 7.073882+6 1.825000-4 7.066508+6 1.831000-4 7.056075+6 1.835000-4 7.047840+6 1.844000-4 7.026923+6 1.855000-4 6.994702+6 1.858000-4 6.985089+6 1.862087-4 6.970962+6 1.863000-4 6.967537+6 1.870000-4 6.939755+6 1.873200-4 6.926347+6 1.880000-4 6.896574+6 1.883649-4 6.879726+6 1.890000-4 6.850653+6 1.900000-4 6.801005+6 1.905461-4 6.772902+6 1.914000-4 6.729568+6 1.915000-4 6.724300+6 1.927525-4 6.657155+6 1.940000-4 6.589747+6 1.955000-4 6.507087+6 1.972423-4 6.411890+6 1.978000-4 6.381665+6 1.980000-4 6.370669+6 2.000000-4 6.260539+6 2.018366-4 6.159694+6 2.030000-4 6.097519+6 2.041738-4 6.035546+6 2.065380-4 5.915780+6 2.080000-4 5.844031+6 2.113489-4 5.688287+6 2.120000-4 5.659485+6 2.150000-4 5.524218+6 2.180000-4 5.398422+6 2.205000-4 5.300204+6 2.220000-4 5.244621+6 2.230000-4 5.208347+6 2.250000-4 5.138758+6 2.260000-4 5.105143+6 2.264644-4 5.089964+6 2.280000-4 5.038935+6 2.290868-4 5.004419+6 2.300000-4 4.975800+6 2.307000-4 4.953210+6 2.330000-4 4.882522+6 2.340000-4 4.852943+6 2.358000-4 4.801313+6 2.371374-4 4.764391+6 2.386900-4 4.722782+6 2.400000-4 4.688878+6 2.415000-4 4.651168+6 2.430000-4 4.614691+6 2.440000-4 4.591009+6 2.454709-4 4.557153+6 2.465000-4 4.532399+6 2.483133-4 4.490008+6 2.490000-4 4.474357+6 2.511886-4 4.425895+6 2.520000-4 4.408425+6 2.540973-4 4.364662+6 2.560000-4 4.326211+6 2.570396-4 4.305849+6 2.600160-4 4.249428+6 2.630268-4 4.192770+6 2.635000-4 4.183740+6 2.650000-4 4.155740+6 2.670000-4 4.119598+6 2.710000-4 4.050420+6 2.730000-4 4.017355+6 2.770000-4 3.953957+6 2.786121-4 3.929474+6 2.810000-4 3.892567+6 2.830000-4 3.860677+6 2.851018-4 3.828231+6 2.917427-4 3.731000+6 3.000000-4 3.619623+6 3.019952-4 3.593241+6 3.022000-4 3.590405+6 3.022000-4 3.879385+6 3.126079-4 3.738800+6 3.200000-4 3.646829+6 3.235937-4 3.604095+6 3.239550-4 3.599704+6 3.240000-4 3.599140+6 3.273407-4 3.557676+6 3.311311-4 3.512456+6 3.350000-4 3.467451+6 3.427678-4 3.381442+6 3.430500-4 3.378375+6 3.430500-4 3.451378+6 3.467369-4 3.411881+6 3.470000-4 3.408925+6 3.548134-4 3.323505+6 3.589219-4 3.280216+6 3.672823-4 3.196039+6 3.700000-4 3.169473+6 3.715352-4 3.154746+6 3.758374-4 3.111474+6 3.801894-4 3.069466+6 3.845918-4 3.027743+6 3.850000-4 3.023956+6 3.935501-4 2.946512+6 3.981072-4 2.906463+6 4.000000-4 2.889393+6 4.073803-4 2.824425+6 4.150000-4 2.760006+6 4.203500-4 2.716515+6 4.203500-4 2.805989+6 4.216965-4 2.795169+6 4.265795-4 2.756047+6 4.287500-4 2.738325+6 4.315191-4 2.715991+6 4.365158-4 2.676241+6 4.500000-4 2.573764+6 4.518559-4 2.560206+6 4.550000-4 2.537573+6 4.570882-4 2.522503+6 4.700000-4 2.430341+6 4.731513-4 2.408737+6 4.786301-4 2.371297+6 4.841724-4 2.334747+6 4.850000-4 2.329380+6 4.897788-4 2.298885+6 4.930000-4 2.278165+6 4.954502-4 2.262478+6 5.069907-4 2.190344+6 5.128614-4 2.155553+6 5.150000-4 2.143166+6 5.188000-4 2.121112+6 5.248075-4 2.086537+6 5.308844-4 2.051757+6 5.400000-4 2.001751+6 5.432503-4 1.984305+6 5.559043-4 1.918036+6 5.623413-4 1.885840+6 5.688529-4 1.854370+6 5.754399-4 1.822209+6 6.000000-4 1.709476+6 6.025596-4 1.698455+6 6.095369-4 1.668640+6 6.100000-4 1.666697+6 6.165950-4 1.638902+6 6.309573-4 1.580168+6 6.382635-4 1.551824+6 6.456542-4 1.523795+6 6.531306-4 1.495894+6 6.606934-4 1.468563+6 6.683439-4 1.441688+6 6.760830-4 1.414928+6 6.850000-4 1.384871+6 7.000000-4 1.336092+6 7.161434-4 1.286920+6 7.244360-4 1.262677+6 7.328245-4 1.238685+6 7.413102-4 1.214624+6 7.498942-4 1.191063+6 7.585776-4 1.168055+6 7.800000-4 1.113895+6 7.852356-4 1.101131+6 8.000000-4 1.066093+6 8.035261-4 1.057955+6 8.128305-4 1.036950+6 8.222426-4 1.016198+6 8.317638-4 9.958715+5 8.511380-4 9.560671+5 8.609938-4 9.368517+5 8.709636-4 9.179882+5 8.912509-4 8.807680+5 9.120108-4 8.446688+5 9.332543-4 8.102124+5 9.440609-4 7.934243+5 9.549926-4 7.768745+5 9.772372-4 7.442782+5 1.000000-3 7.131388+5 1.011579-3 6.979804+5 1.035142-3 6.686759+5 1.047129-3 6.542325+5 1.059254-3 6.401375+5 1.071519-3 6.262749+5 1.096478-3 5.992945+5 1.109175-3 5.862924+5 1.110000-3 5.854631+5 1.135011-3 5.608647+5 1.148154-3 5.485506+5 1.161449-3 5.364919+5 1.174898-3 5.245838+5 1.188502-3 5.129043+5 1.202264-3 5.015074+5 1.230269-3 4.792725+5 1.244515-3 4.685609+5 1.258925-3 4.580850+5 1.288250-3 4.376975+5 1.303167-3 4.277993+5 1.348963-3 3.990210+5 1.355300-3 3.952798+5 1.355300-3 1.254285+6 1.365000-3 1.240389+6 1.380384-3 1.218815+6 1.395200-3 1.198624+6 1.395200-3 1.635248+6 1.412538-3 1.631539+6 1.428894-3 1.629155+6 1.437000-3 1.628398+6 1.462177-3 1.615199+6 1.470000-3 1.610662+6 1.477000-3 1.603780+6 1.479108-3 1.602659+6 1.500000-3 1.577622+6 1.513561-3 1.556881+6 1.515000-3 1.554083+6 1.531087-3 1.519751+6 1.566751-3 1.436715+6 1.570000-3 1.429472+6 1.603245-3 1.358225+6 1.610000-3 1.344370+6 1.621810-3 1.320595+6 1.650000-3 1.266209+6 1.678804-3 1.213825+6 1.698244-3 1.180127+6 1.717908-3 1.147372+6 1.728500-3 1.130262+6 1.728500-3 1.301154+6 1.737801-3 1.285294+6 1.757924-3 1.251919+6 1.819701-3 1.156670+6 1.840772-3 1.126246+6 1.850000-3 1.113293+6 1.862087-3 1.096643+6 1.883649-3 1.067550+6 1.910400-3 1.033000+6 1.910400-3 1.095506+6 1.927525-3 1.073606+6 1.949845-3 1.045993+6 1.950000-3 1.045805+6 1.972423-3 1.018879+6 2.000000-3 9.871538+5 2.018366-3 9.666029+5 2.030000-3 9.537977+5 2.070000-3 9.116969+5 2.089296-3 8.923528+5 2.102500-3 8.794620+5 2.102500-3 9.179376+5 2.113489-3 9.071922+5 2.150000-3 8.727879+5 2.162719-3 8.611657+5 2.187762-3 8.388359+5 2.213095-3 8.170431+5 2.220000-3 8.112502+5 2.264644-3 7.746496+5 2.300000-3 7.473903+5 2.317395-3 7.344620+5 2.344229-3 7.151373+5 2.371374-3 6.963308+5 2.400000-3 6.771531+5 2.426610-3 6.599264+5 2.511886-3 6.084318+5 2.520700-3 6.034419+5 2.570396-3 5.763536+5 2.600160-3 5.609712+5 2.630268-3 5.459372+5 2.650000-3 5.364065+5 2.660725-3 5.313248+5 2.691535-3 5.169907+5 2.722701-3 5.030606+5 2.786121-3 4.763029+5 2.818383-3 4.634930+5 2.851018-3 4.509004+5 2.900000-3 4.329124+5 2.951209-3 4.151207+5 2.985383-3 4.037044+5 3.019952-3 3.925941+5 3.054921-3 3.818073+5 3.090295-3 3.712482+5 3.126079-3 3.609869+5 3.162278-3 3.509649+5 3.198895-3 3.412262+5 3.235937-3 3.317424+5 3.273407-3 3.225365+5 3.311311-3 3.135713+5 3.349654-3 3.048688+5 3.388442-3 2.964015+5 3.427678-3 2.881823+5 3.467369-3 2.801771+5 3.548134-3 2.648419+5 3.589219-3 2.574509+5 3.672823-3 2.432787+5 3.715352-3 2.364631+5 3.758374-3 2.298007+5 3.801894-3 2.233285+5 3.900000-3 2.096569+5 3.935501-3 2.049776+5 4.000000-3 1.968524+5 4.027170-3 1.935582+5 4.120975-3 1.827112+5 4.168694-3 1.775125+5 4.216965-3 1.724690+5 4.315191-3 1.628129+5 4.365158-3 1.581823+5 4.466836-3 1.493224+5 4.623810-3 1.369114+5 4.677351-3 1.330024+5 4.700000-3 1.313866+5 4.731513-3 1.291832+5 4.786301-3 1.254677+5 4.897788-3 1.183705+5 4.954502-3 1.149722+5 5.011872-3 1.116728+5 5.069907-3 1.084584+5 5.128614-3 1.053391+5 5.188000-3 1.022945+5 5.248075-3 9.934032+4 5.370318-3 9.367717+4 5.432503-3 9.095915+4 5.559043-3 8.576663+4 5.623413-3 8.328796+4 5.688529-3 8.087014+4 5.754399-3 7.852601+4 5.821032-3 7.625147+4 5.888437-3 7.403482+4 5.956621-3 7.187209+4 6.025596-3 6.977564+4 6.095369-3 6.773783+4 6.165950-3 6.576231+4 6.382635-3 6.017613+4 6.456542-3 5.841749+4 6.531306-3 5.671171+4 6.683439-3 5.343021+4 6.760830-3 5.185825+4 6.918310-3 4.884846+4 7.161434-3 4.467244+4 7.244360-3 4.335910+4 7.328245-3 4.208559+4 7.413102-3 4.085041+4 7.500000-3 3.962627+4 7.585776-3 3.846533+4 7.673615-3 3.732377+4 7.852356-3 3.514576+4 8.035261-3 3.309926+4 8.061700-3 3.281638+4 8.061700-3 8.938527+4 8.128305-3 8.756957+4 8.222426-3 8.509148+4 8.317638-3 8.268419+4 8.350000-3 8.188504+4 8.413951-3 8.024901+4 8.500000-3 7.811862+4 8.511380-3 7.784272+4 8.609938-3 7.550718+4 8.709636-3 7.324109+4 8.810489-3 7.104406+4 8.912509-3 6.886911+4 8.928700-3 6.853244+4 8.928700-3 9.423210+4 9.000000-3 9.223498+4 9.120108-3 8.916932+4 9.180000-3 8.769237+4 9.225714-3 8.654514+4 9.332543-3 8.394393+4 9.360200-3 8.328709+4 9.360200-3 9.631706+4 9.500000-3 9.271043+4 9.549926-3 9.146716+4 9.550000-3 9.146534+4 9.660509-3 8.886426+4 9.730000-3 8.728232+4 9.772372-3 8.632968+4 9.800000-3 8.571648+4 9.885531-3 8.383910+4 1.000000-2 8.141516+4 1.023293-2 7.678100+4 1.035142-2 7.456570+4 1.047129-2 7.238575+4 1.059254-2 7.027026+4 1.071519-2 6.821681+4 1.083927-2 6.622188+4 1.096478-2 6.428708+4 1.122018-2 6.058967+4 1.135011-2 5.882381+4 1.148154-2 5.711004+4 1.150000-2 5.687502+4 1.161449-2 5.542653+4 1.202264-2 5.066242+4 1.210000-2 4.982414+4 1.216186-2 4.916344+4 1.230269-2 4.770278+4 1.244515-2 4.628668+4 1.259700-2 4.484144+4 1.288250-2 4.227956+4 1.303167-2 4.101916+4 1.318257-2 3.979684+4 1.348963-2 3.746238+4 1.350000-2 3.738693+4 1.364583-2 3.634514+4 1.380384-2 3.525970+4 1.396368-2 3.420632+4 1.412538-2 3.318519+4 1.445440-2 3.123575+4 1.479108-2 2.940394+4 1.480000-2 2.935748+4 1.500000-2 2.833528+4 1.531087-2 2.683861+4 1.548817-2 2.603433+4 1.584893-2 2.447892+4 1.603245-2 2.373707+4 1.621810-2 2.301816+4 1.640590-2 2.232149+4 1.659587-2 2.164594+4 1.678804-2 2.099140+4 1.698244-2 2.035713+4 1.717908-2 1.974255+4 1.737801-2 1.914682+4 1.757924-2 1.856516+4 1.778279-2 1.800124+4 1.798871-2 1.745420+4 1.819701-2 1.692426+4 1.840772-2 1.641086+4 1.862087-2 1.591333+4 1.900000-2 1.507920+4 1.905461-2 1.496322+4 1.927525-2 1.450402+4 1.949845-2 1.405884+4 1.972423-2 1.362769+4 2.018366-2 1.280543+4 2.041738-2 1.241319+4 2.065380-2 1.203282+4 2.089296-2 1.166439+4 2.137962-2 1.096189+4 2.162719-2 1.062560+4 2.187762-2 1.029908+4 2.213095-2 9.981188+3 2.264644-2 9.375266+3 2.317395-2 8.806301+3 2.344229-2 8.535044+3 2.398833-2 8.017335+3 2.426610-2 7.770693+3 2.454709-2 7.530144+3 2.511886-2 7.071536+3 2.540973-2 6.851842+3 2.570396-2 6.639145+3 2.600160-2 6.433213+3 2.630268-2 6.233782+3 2.650000-2 6.107722+3 2.660725-2 6.040623+3 2.691535-2 5.853480+3 2.722701-2 5.671922+3 2.754229-2 5.495391+3 2.851018-2 4.998837+3 2.884032-2 4.843708+3 2.951209-2 4.546361+3 3.000000-2 4.346062+3 3.019952-2 4.267659+3 3.054921-2 4.134274+3 3.090295-2 4.005157+3 3.126079-2 3.879840+3 3.162278-2 3.758541+3 3.198895-2 3.641128+3 3.235937-2 3.527442+3 3.311311-2 3.309821+3 3.388442-2 3.105879+3 3.427678-2 3.008454+3 3.467369-2 2.914148+3 3.548134-2 2.734479+3 3.589219-2 2.648941+3 3.630781-2 2.566013+3 3.672823-2 2.485327+3 3.715352-2 2.407239+3 3.801894-2 2.257495+3 3.890451-2 2.117231+3 3.935501-2 2.050464+3 4.000000-2 1.959840+3 4.027170-2 1.923318+3 4.120975-2 1.804200+3 4.168694-2 1.747494+3 4.216965-2 1.692428+3 4.265795-2 1.639105+3 4.300000-2 1.603127+3 4.365158-2 1.537473+3 4.415704-2 1.489077+3 4.518559-2 1.395911+3 4.623810-2 1.308668+3 4.731513-2 1.226979+3 4.897788-2 1.114078+3 5.011872-2 1.044712+3 5.069907-2 1.011679+3 5.128614-2 9.796702+2 5.188000-2 9.486951+2 5.248075-2 9.186570+2 5.308844-2 8.893700+2 5.370318-2 8.610252+2 5.432503-2 8.335324+2 5.569900-2 7.769186+2 5.569900-2 4.177607+3 5.623413-2 4.080823+3 5.660000-2 4.016469+3 5.705000-2 3.933759+3 5.780000-2 3.811892+3 5.821032-2 3.739076+3 5.900000-2 3.604198+3 5.956621-2 3.518214+3 6.000000-2 3.454274+3 6.025596-2 3.417308+3 6.165950-2 3.224105+3 6.237348-2 3.127026+3 6.309573-2 3.032748+3 6.683439-2 2.602454+3 6.760830-2 2.524018+3 6.839116-2 2.448933+3 6.998420-2 2.305429+3 7.079458-2 2.236877+3 7.161434-2 2.170350+3 7.328245-2 2.043199+3 7.413102-2 1.982459+3 7.500000-2 1.922742+3 7.585776-2 1.865136+3 7.762471-2 1.753740+3 8.035261-2 1.599030+3 8.222426-2 1.503577+3 8.317638-2 1.458015+3 8.413951-2 1.413269+3 8.511380-2 1.369900+3 8.709636-2 1.287106+3 8.810489-2 1.247610+3 8.912509-2 1.209285+3 9.015711-2 1.172139+3 9.120108-2 1.136136+3 9.440609-2 1.034637+3 9.549926-2 1.002866+3 9.660509-2 9.720747+2 1.000000-1 8.852727+2 1.011580-1 8.581004+2 1.023293-1 8.317669+2 1.035142-1 8.062375+2 1.047129-1 7.811537+2 1.059254-1 7.568538+2 1.071519-1 7.332865+2 1.122019-1 6.461414+2 1.161449-1 5.876621+2 1.174898-1 5.693724+2 1.202264-1 5.344881+2 1.244515-1 4.861338+2 1.258925-1 4.710114+2 1.273503-1 4.563594+2 1.303167-1 4.284168+2 1.318257-1 4.150952+2 1.333521-1 4.021772+2 1.348963-1 3.896608+2 1.364583-1 3.774693+2 1.380384-1 3.656598+2 1.396368-1 3.542205+2 1.479108-1 3.021813+2 1.513561-1 2.835760+2 1.531088-1 2.747078+2 1.548817-1 2.661178+2 1.566751-1 2.577977+2 1.584893-1 2.497383+2 1.603245-1 2.419313+2 1.621810-1 2.343687+2 1.640590-1 2.270442+2 1.650000-1 2.234913+2 1.698244-1 2.064226+2 1.717908-1 1.999748+2 1.798871-1 1.761378+2 1.819701-1 1.706371+2 1.862087-1 1.601465+2 1.883649-1 1.551459+2 1.905461-1 1.503019+2 1.927525-1 1.456095+2 1.949845-1 1.410640+2 1.972423-1 1.366633+2 2.018366-1 1.282699+2 2.041738-1 1.242687+2 2.065380-1 1.203925+2 2.089296-1 1.166374+2 2.137962-1 1.094753+2 2.213095-1 9.954901+1 2.238721-1 9.647545+1 2.264644-1 9.349708+1 2.290868-1 9.061173+1 2.317395-1 8.781559+1 2.371374-1 8.248143+1 2.398833-1 7.993725+1 2.426610-1 7.747231+1 2.483133-1 7.277220+1 2.511886-1 7.053031+1 2.540973-1 6.835747+1 2.570396-1 6.625171+1 2.600160-1 6.421100+1 2.630268-1 6.223392+1 2.691535-1 5.846059+1 2.722701-1 5.668562+1 2.754229-1 5.496453+1 2.786121-1 5.329583+1 2.818383-1 5.167780+1 2.851018-1 5.010895+1 2.917427-1 4.711277+1 2.951209-1 4.568272+1 2.985383-1 4.429705+1 3.000000-1 4.372280+1 3.054921-1 4.165436+1 3.090295-1 4.039280+1 3.126079-1 3.916998+1 3.162278-1 3.798421+1 3.198895-1 3.685303+1 3.235937-1 3.575552+1 3.273407-1 3.469075+1 3.311311-1 3.365779+1 3.349654-1 3.265596+1 3.388442-1 3.168393+1 3.507519-1 2.893822+1 3.548134-1 2.807918+1 3.589219-1 2.724566+1 3.630781-1 2.643688+1 3.672823-1 2.566574+1 3.715352-1 2.491742+1 3.758374-1 2.419093+1 3.801894-1 2.348564+1 3.890451-1 2.213619+1 3.935501-1 2.149084+1 3.981072-1 2.086432+1 4.027170-1 2.025637+1 4.073803-1 1.966733+1 4.120975-1 1.909601+1 4.216965-1 1.802289+1 4.315191-1 1.701012+1 4.318900-1 1.697345+1 4.365158-1 1.652530+1 4.415705-1 1.605430+1 4.466836-1 1.559674+1 4.518559-1 1.515244+1 4.623810-1 1.430186+1 4.677351-1 1.389552+1 4.731513-1 1.350884+1 4.786301-1 1.313294+1 4.841724-1 1.276751+1 4.954502-1 1.206689+1 5.011872-1 1.173114+1 5.069907-1 1.140503+1 5.188000-1 1.077978+1 5.248075-1 1.048655+1 5.308844-1 1.020196+1 5.370318-1 9.925277+0 5.495409-1 9.394226+0 5.559043-1 9.139547+0 5.623413-1 8.891916+0 5.754399-1 8.416614+0 5.821032-1 8.188580+0 5.888437-1 7.971838+0 6.000000-1 7.631615+0 6.025596-1 7.556549+0 6.095369-1 7.357286+0 6.165950-1 7.163297+0 6.237348-1 6.974502+0 6.309573-1 6.790705+0 6.456542-1 6.437517+0 6.531306-1 6.267877+0 6.606935-1 6.106761+0 6.683439-1 5.950262+0 6.760830-1 5.797787+0 6.839117-1 5.649329+0 6.918310-1 5.504718+0 6.998420-1 5.363827+0 7.079458-1 5.226543+0 7.244360-1 4.962434+0 7.328245-1 4.835478+0 7.413102-1 4.714794+0 7.498942-1 4.597447+0 7.585776-1 4.483023+0 7.673615-1 4.371532+0 7.762471-1 4.262825+0 7.852356-1 4.156874+0 8.035261-1 3.952809+0 8.128305-1 3.854586+0 8.317638-1 3.670377+0 8.413951-1 3.581611+0 8.511380-1 3.495302+0 8.609938-1 3.411073+0 8.709636-1 3.328962+0 8.810489-1 3.248866+0 8.912509-1 3.170698+0 9.015711-1 3.094410+0 9.120108-1 3.022148+0 9.225714-1 2.951618+0 9.332543-1 2.882748+0 9.440609-1 2.815753+0 9.549926-1 2.750315+0 9.660509-1 2.686462+0 9.772372-1 2.624101+0 9.885531-1 2.563227+0 1.000000+0 2.503811+0 1.011579+0 2.447390+0 1.022000+0 2.398232+0 1.023293+0 2.392237+0 1.035142+0 2.338474+0 1.059254+0 2.234555+0 1.071519+0 2.184369+0 1.083927+0 2.135369+0 1.122018+0 1.994874+0 1.135011+0 1.950125+0 1.148154+0 1.906385+0 1.161449+0 1.863628+0 1.174898+0 1.822850+0 1.188502+0 1.783104+0 1.202264+0 1.744224+0 1.216186+0 1.706189+0 1.230269+0 1.669015+0 1.244515+0 1.632652+0 1.250000+0 1.618972+0 1.258925+0 1.597085+0 1.273503+0 1.562292+0 1.288250+0 1.528274+0 1.303167+0 1.495017+0 1.318257+0 1.463385+0 1.333521+0 1.432524+0 1.364583+0 1.372738+0 1.380384+0 1.343812+0 1.396368+0 1.315497+0 1.412538+0 1.287778+0 1.428894+0 1.260655+0 1.479108+0 1.182695+0 1.496236+0 1.158510+0 1.513561+0 1.134901+0 1.531087+0 1.111773+0 1.621810+0 1.003106+0 1.659587+0 9.626731-1 1.678804+0 9.436228-1 1.698244+0 9.250170-1 1.717908+0 9.067876-1 1.737801+0 8.889163-1 1.778279+0 8.542562-1 1.819701+0 8.209467-1 1.840772+0 8.047826-1 1.862087+0 7.889367-1 1.883649+0 7.734028-1 1.905461+0 7.586097-1 1.927525+0 7.441548-1 1.949845+0 7.299827-1 1.972423+0 7.160809-1 2.000000+0 6.996819-1 2.018366+0 6.890909-1 2.041738+0 6.759794-1 2.044000+0 6.747317-1 2.089296+0 6.505007-1 2.137962+0 6.259822-1 2.162719+0 6.144152-1 2.187762+0 6.031052-1 2.213095+0 5.920091-1 2.238721+0 5.811174-1 2.264644+0 5.704356-1 2.290868+0 5.599499-1 2.317395+0 5.496571-1 2.371374+0 5.296358-1 2.426610+0 5.103439-1 2.454709+0 5.012361-1 2.483133+0 4.923249-1 2.511886+0 4.835768-1 2.540973+0 4.749838-1 2.570396+0 4.665514-1 2.630268+0 4.501330-1 2.660725+0 4.421418-1 2.722701+0 4.265824-1 2.786121+0 4.115706-1 2.818383+0 4.044804-1 2.851018+0 3.975396-1 2.884032+0 3.907213-1 2.917427+0 3.840202-1 2.951209+0 3.774400-1 3.019952+0 3.646158-1 3.054921+0 3.583682-1 3.126079+0 3.461922-1 3.235937+0 3.286992-1 3.273407+0 3.232305-1 3.311311+0 3.178733-1 3.349654+0 3.126076-1 3.388442+0 3.074291-1 3.427678+0 3.023411-1 3.507519+0 2.924162-1 3.548134+0 2.875766-1 3.630781+0 2.781364-1 3.758374+0 2.645541-1 3.801894+0 2.602990-1 3.845918+0 2.561279-1 3.890451+0 2.520256-1 3.935501+0 2.479890-1 4.000000+0 2.424041-1 4.120975+0 2.324921-1 4.168694+0 2.287716-1 4.265795+0 2.215084-1 4.415704+0 2.110436-1 4.466836+0 2.077603-1 4.518559+0 2.045399-1 4.570882+0 2.013710-1 4.623810+0 1.982512-1 4.677351+0 1.951824-1 4.841724+0 1.862582-1 4.897788+0 1.833751-1 5.011872+0 1.777421-1 5.188000+0 1.696153-1 5.248075+0 1.670612-1 5.308844+0 1.645547-1 5.370318+0 1.620870-1 5.432503+0 1.596563-1 5.495409+0 1.572636-1 5.754399+0 1.480482-1 5.821032+0 1.458300-1 5.888437+0 1.436450-1 5.956621+0 1.414928-1 6.095369+0 1.372845-1 6.165950+0 1.352870-1 6.237348+0 1.333259-1 6.309573+0 1.313942-1 6.382635+0 1.294904-1 6.456542+0 1.276155-1 6.839116+0 1.186419-1 7.000000+0 1.151987-1 7.161434+0 1.119194-1 7.244360+0 1.102992-1 7.585776+0 1.040495-1 7.673615+0 1.025822-1 7.762471+0 1.011407-1 7.852356+0 9.972016-2 7.943282+0 9.831956-2 8.035261+0 9.693958-2 8.317638+0 9.291555-2 8.413951+0 9.161169-2 8.609938+0 8.905857-2 8.709636+0 8.780883-2 9.120108+0 8.298279-2 9.332543+0 8.072799-2 9.440609+0 7.962733-2 9.549926+0 7.854218-2 9.660509+0 7.747181-2 9.885531+0 7.537593-2 1.023293+1 7.233845-2 1.035142+1 7.135343-2 1.059254+1 6.942337-2 1.071519+1 6.847806-2 1.135011+1 6.394092-2 1.161449+1 6.225254-2 1.188502+1 6.061390-2 1.202264+1 5.981118-2 1.216186+1 5.901905-2 1.244515+1 5.746710-2 1.273503+1 5.595625-2 1.300000+1 5.463869-2 1.318257+1 5.376407-2 1.333521+1 5.305264-2 1.428894+1 4.897723-2 1.462177+1 4.771795-2 1.513561+1 4.589456-2 1.531087+1 4.530262-2 1.548817+1 4.471827-2 1.584893+1 4.357279-2 1.600000+1 4.310948-2 1.640590+1 4.190955-2 1.678804+1 4.083617-2 1.698244+1 4.030982-2 1.717908+1 3.979028-2 1.840772+1 3.681058-2 1.883649+1 3.588748-2 1.905461+1 3.543574-2 1.972423+1 3.411481-2 2.000000+1 3.359798-2 2.041738+1 3.284361-2 2.089296+1 3.202300-2 2.113489+1 3.162047-2 2.162719+1 3.083053-2 2.200000+1 3.025698-2 2.238721+1 2.968248-2 2.426610+1 2.716721-2 2.454709+1 2.682573-2 2.540973+1 2.584469-2 2.570396+1 2.552642-2 2.691535+1 2.429237-2 2.722701+1 2.399331-2 2.754229+1 2.369801-2 2.851018+1 2.283378-2 2.917427+1 2.227547-2 2.951209+1 2.200149-2 2.985383+1 2.173088-2 3.019952+1 2.146360-2 3.054921+1 2.119961-2 3.273407+1 1.968247-2 3.311311+1 1.944040-2 3.548134+1 1.807120-2 3.801894+1 1.680118-2 3.890451+1 1.639801-2 3.935501+1 1.620011-2 4.120975+1 1.543214-2 4.216965+1 1.506205-2 4.265795+1 1.488037-2 4.315191+1 1.470088-2 4.365158+1 1.452356-2 4.415704+1 1.434837-2 4.731513+1 1.334075-2 4.786301+1 1.317984-2 5.432503+1 1.155245-2 6.095369+1 1.025020-2 6.309573+1 9.888946-3 6.382635+1 9.771408-3 6.606934+1 9.427114-3 6.683439+1 9.315105-3 6.760830+1 9.204436-3 6.839116+1 9.095084-3 6.918310+1 8.987030-3 7.244360+1 8.567501-3 8.511380+1 7.263129-3 1.035142+2 5.945005-3 1.096478+2 5.604961-3 1.109175+2 5.539332-3 1.122018+2 5.474477-3 1.161449+2 5.284418-3 1.188502+2 5.161428-3 1.202264+2 5.101014-3 1.216186+2 5.041304-3 1.244515+2 4.923975-3 1.318257+2 4.642466-3 1.584893+2 3.851982-3 1.603245+2 3.807311-3 2.065380+2 2.946229-3 2.187762+2 2.779453-3 2.213095+2 2.747252-3 2.238721+2 2.715424-3 2.317395+2 2.622133-3 2.371374+2 2.561735-3 2.398833+2 2.532061-3 2.426610+2 2.502731-3 2.483133+2 2.445085-3 2.630268+2 2.306713-3 3.162278+2 1.916111-3 3.198895+2 1.894024-3 4.120975+2 1.467827-3 4.365158+2 1.385203-3 4.415704+2 1.369247-3 4.466836+2 1.353474-3 4.623810+2 1.307237-3 4.731513+2 1.277296-3 4.786301+2 1.262584-3 4.841724+2 1.248042-3 4.954502+2 1.219458-3 5.248075+2 1.150830-3 1.258925+3 4.788661-4 1.273503+3 4.733732-4 1.640590+3 3.672956-4 3.467369+3 1.735646-4 3.507519+3 1.715745-4 3.548134+3 1.696073-4 3.672823+3 1.638398-4 3.758374+3 1.601043-4 3.801894+3 1.582686-4 3.845918+3 1.564540-4 3.935501+3 1.528869-4 4.168694+3 1.443211-4 1.000000+5 6.013996-6 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.420000-6 5.420000-6 9.730000-6 5.420000-6 9.730000-6 8.598289-6 1.080000-5 8.846397-6 1.080000-5 9.615612-6 1.220100-5 9.791296-6 1.380384-5 9.922856-6 1.570000-5 1.000585-5 1.920000-5 1.005967-5 2.858000-5 1.009718-5 2.858000-5 2.673365-5 3.060000-5 2.574222-5 3.300000-5 2.441669-5 3.389000-5 2.389266-5 3.389000-5 2.819779-5 3.935501-5 2.510762-5 4.518559-5 2.170526-5 4.731513-5 2.051279-5 5.011872-5 1.905853-5 5.300000-5 1.772849-5 5.519000-5 1.683640-5 5.519000-5 1.708457-5 5.730000-5 1.632387-5 5.970000-5 1.557284-5 6.237348-5 1.487064-5 6.400000-5 1.450462-5 6.650000-5 1.402047-5 6.839116-5 1.370441-5 7.161434-5 1.326147-5 7.413102-5 1.298030-5 7.800000-5 1.263485-5 8.222426-5 1.234796-5 8.709636-5 1.210293-5 9.150000-5 1.193530-5 9.800000-5 1.175296-5 1.071519-4 1.157724-5 1.202264-4 1.142283-5 1.380384-4 1.131053-5 1.662300-4 1.123734-5 1.662300-4 1.235651-5 1.720000-4 1.286877-5 1.736300-4 1.301363-5 1.736300-4 1.375392-5 1.781000-4 1.420100-5 1.810000-4 1.440340-5 1.835000-4 1.449894-5 1.863000-4 1.451884-5 1.900000-4 1.443420-5 1.955000-4 1.416756-5 2.080000-4 1.345684-5 2.150000-4 1.312163-5 2.230000-4 1.283579-5 2.307000-4 1.265912-5 2.386900-4 1.257390-5 2.465000-4 1.256531-5 2.570396-4 1.265226-5 2.670000-4 1.280970-5 2.830000-4 1.315862-5 3.022000-4 1.366835-5 3.022000-4 1.615074-5 3.430500-4 1.742437-5 3.430500-4 1.815558-5 3.935501-4 1.973416-5 4.203500-4 2.051063-5 4.203500-4 2.201946-5 4.700000-4 2.341495-5 5.248075-4 2.474621-5 5.754399-4 2.583334-5 6.309573-4 2.686590-5 7.000000-4 2.798113-5 7.852356-4 2.915337-5 8.912509-4 3.036975-5 1.011579-3 3.151932-5 1.161449-3 3.269643-5 1.355300-3 3.392971-5 1.355300-3 5.041646-5 1.395200-3 5.058515-5 1.395200-3 5.388906-5 1.470000-3 5.468097-5 1.531087-3 5.492427-5 1.728500-3 5.490048-5 1.728500-3 5.922775-5 1.910400-3 5.968549-5 1.910400-3 6.176708-5 2.102500-3 6.240495-5 2.102500-3 6.458895-5 2.722701-3 6.694160-5 3.467369-3 6.923369-5 4.365158-3 7.148688-5 5.432503-3 7.364746-5 6.760830-3 7.578378-5 8.061700-3 7.747118-5 8.061700-3 1.027598-4 8.928700-3 1.031456-4 8.928700-3 1.091904-4 9.360200-3 1.093348-4 9.360200-3 1.148482-4 1.350000-2 1.172885-4 1.972423-2 1.197972-4 2.754229-2 1.219972-4 3.935501-2 1.242950-4 5.569900-2 1.263993-4 5.569900-2 1.212308-4 1.548817-1 1.218598-4 5.754399-1 1.222429-4 1.000000+5 1.222857-4 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.420000-6 0.0 1.736300-4 0.0 1.736300-4 7.67775-10 1.743000-4 7.88646-10 1.750000-4 8.15274-10 1.760000-4 8.59615-10 1.770000-4 9.10331-10 1.781000-4 9.69846-10 1.805000-4 1.108508-9 1.815000-4 1.163637-9 1.825000-4 1.214970-9 1.835000-4 1.260924-9 1.844000-4 1.296756-9 1.855000-4 1.332864-9 1.863000-4 1.353558-9 1.873200-4 1.372850-9 1.880000-4 1.383152-9 1.890000-4 1.391482-9 1.900000-4 1.394123-9 1.915000-4 1.388007-9 1.927525-4 1.376434-9 1.940000-4 1.359306-9 1.955000-4 1.333856-9 1.980000-4 1.282411-9 2.000000-4 1.237680-9 2.080000-4 1.045485-9 2.120000-4 9.53272-10 2.150000-4 8.89261-10 2.180000-4 8.29667-10 2.205000-4 7.83170-10 2.230000-4 7.41975-10 2.250000-4 7.10613-10 2.280000-4 6.69987-10 2.307000-4 6.38743-10 2.340000-4 6.07237-10 2.371374-4 5.83351-10 2.400000-4 5.66441-10 2.430000-4 5.53325-10 2.454709-4 5.45873-10 2.483133-4 5.41328-10 2.511886-4 5.40047-10 2.540973-4 5.42016-10 2.570396-4 5.47103-10 2.600160-4 5.55120-10 2.635000-4 5.68240-10 2.670000-4 5.84895-10 2.710000-4 6.07363-10 2.770000-4 6.46856-10 2.830000-4 6.92651-10 2.917427-4 7.68700-10 3.022000-4 8.66225-10 3.022000-4 1.721145-9 3.273407-4 1.999402-9 3.430500-4 2.179485-9 3.430500-4 2.649682-9 3.589219-4 2.846997-9 3.850000-4 3.160732-9 4.203500-4 3.564720-9 4.203500-4 4.119463-9 4.518559-4 4.479064-9 4.786301-4 4.761623-9 5.188000-4 5.150545-9 5.559043-4 5.480528-9 6.025596-4 5.853933-9 6.531306-4 6.208840-9 7.161434-4 6.604182-9 7.585776-4 6.843131-9 8.317638-4 7.207290-9 9.120108-4 7.559869-9 1.011579-3 7.939999-9 1.096478-3 8.219507-9 1.188502-3 8.492134-9 1.303167-3 8.790535-9 1.355300-3 8.916729-9 1.355300-3 9.657792-9 1.395200-3 9.689993-9 1.395200-3 2.583382-6 1.437000-3 2.874213-6 1.470000-3 3.038996-6 1.479108-3 3.069970-6 1.500000-3 3.111223-6 1.531087-3 3.152053-6 1.728500-3 3.127638-6 1.728500-3 3.158707-6 1.910400-3 3.145895-6 1.910400-3 3.475828-6 2.102500-3 3.501719-6 2.102500-3 3.623675-6 2.630268-3 3.713469-6 3.349654-3 3.810394-6 4.365158-3 3.918899-6 5.623413-3 4.023374-6 6.918310-3 4.109912-6 8.061700-3 4.171296-6 8.061700-3 8.783672-4 8.511380-3 8.802852-4 8.928700-3 8.795143-4 8.928700-3 1.151965-3 9.360200-3 1.153535-3 9.360200-3 1.220035-3 1.244515-2 1.234784-3 1.862087-2 1.248796-3 3.000000-2 1.260463-3 5.432503-2 1.271177-3 5.569900-2 1.271478-3 5.569900-2 3.890034-2 6.309573-2 3.915489-2 8.511380-2 3.956648-2 1.202264-1 3.985632-2 1.972423-1 4.008763-2 6.165950-1 4.032859-2 1.230269+0 4.044750-2 1.000000+5 4.043890-2 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.420000-6 0.0 9.730000-6 4.310000-6 9.730000-6 1.131711-6 1.023293-5 1.515173-6 1.080000-5 1.953603-6 1.080000-5 1.184388-6 1.135011-5 1.658634-6 1.202264-5 2.250636-6 1.273503-5 2.892101-6 1.380384-5 3.880984-6 1.500000-5 5.018044-6 1.690000-5 6.866651-6 2.238721-5 1.231199-5 2.858000-5 1.848282-5 2.858000-5 1.846355-6 2.930000-5 2.905908-6 3.019952-5 4.249711-6 3.126079-5 5.868553-6 3.235937-5 7.575641-6 3.389000-5 9.997337-6 3.389000-5 5.692213-6 3.730000-5 1.100906-5 4.220000-5 1.876035-5 4.677351-5 2.596413-5 5.011872-5 3.106019-5 5.300000-5 3.527151-5 5.519000-5 3.835360-5 5.519000-5 3.810543-5 5.900000-5 4.322199-5 6.309573-5 4.839412-5 6.839116-5 5.468675-5 7.413102-5 6.115072-5 8.222426-5 6.987630-5 9.800000-5 8.624704-5 1.412538-4 1.299553-4 1.662300-4 1.549927-4 1.662300-4 1.538735-4 1.736300-4 1.606164-4 1.736300-4 1.598753-4 1.844000-4 1.698827-4 2.080000-4 1.945421-4 2.400000-4 2.274318-4 3.022000-4 2.885308-4 3.022000-4 2.860475-4 3.430500-4 3.256235-4 3.430500-4 3.248918-4 4.203500-4 3.998358-4 4.203500-4 3.983264-4 6.850000-4 6.572425-4 1.355300-3 1.321361-3 1.355300-3 1.304874-3 1.395200-3 1.344605-3 1.395200-3 1.338727-3 1.728500-3 1.670472-3 1.728500-3 1.666113-3 1.910400-3 1.847569-3 1.910400-3 1.845157-3 2.102500-3 2.036593-3 2.102500-3 2.034287-3 8.061700-3 7.980058-3 8.061700-3 7.080573-3 8.928700-3 7.946040-3 8.928700-3 7.667545-3 9.360200-3 8.097330-3 9.360200-3 8.025317-3 3.548134-2 3.409387-2 5.569900-2 5.430112-2 5.569900-2 1.667743-2 5.821032-2 1.907709-2 6.309573-2 2.381951-2 8.413951-2 4.446190-2 1.396368-1 9.956790-2 1.000000+5 9.999996+4 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 5.569900-2 3.400688+3 5.660000-2 3.273840+3 5.705000-2 3.207480+3 5.780000-2 3.111780+3 5.900000-2 2.943340+3 6.165950-2 2.640138+3 6.760830-2 2.073571+3 7.500000-2 1.586614+3 8.317638-2 1.207188+3 1.035142-1 6.711641+2 1.348963-1 3.258479+2 2.213095-1 8.363930+1 2.691535-1 4.917157+1 3.162278-1 3.197510+1 3.630781-1 2.227100+1 4.120975-1 1.609763+1 4.677351-1 1.172093+1 5.188000-1 9.097545+0 5.821032-1 6.915297+0 6.531306-1 5.296594+0 7.328245-1 4.088774+0 8.128305-1 3.261248+0 9.015711-1 2.620036+0 1.000000+0 2.121104+0 1.161449+0 1.579211+0 1.303167+0 1.266779+0 1.479108+0 1.001991+0 1.659587+0 8.155588-1 1.883649+0 6.552203-1 2.137962+0 5.303292-1 2.426610+0 4.323636-1 2.786121+0 3.486840-1 3.235937+0 2.784758-1 3.758374+0 2.241324-1 4.415704+0 1.787976-1 5.188000+0 1.436998-1 6.095369+0 1.163089-1 7.585776+0 8.815257-2 9.120108+0 7.030277-2 1.135011+1 5.417073-2 1.428894+1 4.149336-2 1.840772+1 3.118588-2 2.454709+1 2.272653-2 3.311311+1 1.646939-2 4.786301+1 1.116543-2 7.244360+1 7.257991-3 1.318257+2 3.932909-3 2.630268+2 1.954269-3 5.248075+2 9.749205-4 4.168694+3 1.222636-4 1.000000+5 5.095400-6 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 5.569900-2 1.200500-4 1.000000+5 1.200500-4 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.569900-2 4.749700-2 1.000000+5 4.749700-2 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.569900-2 8.081950-3 1.000000+5 9.999995+4 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 9.360200-3 1.302997+4 9.550000-3 1.250010+4 9.730000-3 1.213670+4 1.210000-2 8.325420+3 1.288250-2 7.421026+3 1.480000-2 5.720380+3 1.900000-2 3.494100+3 2.162719-2 2.673585+3 2.426610-2 2.100706+3 2.884032-2 1.445001+3 3.235937-2 1.118789+3 3.715352-2 8.181266+2 4.415704-2 5.477737+2 5.248075-2 3.630824+2 6.237348-2 2.384122+2 7.413102-2 1.551821+2 8.810489-2 1.002319+2 1.059254-1 6.241258+1 1.318257-1 3.527097+1 2.426610-1 7.044884+0 2.985383-1 4.098115+0 3.507519-1 2.707003+0 4.027170-1 1.909516+0 4.623810-1 1.357377+0 5.248075-1 9.999386-1 5.888437-1 7.624651-1 6.606935-1 5.856711-1 7.413102-1 4.531486-1 8.413951-1 3.445144-1 9.332543-1 2.772457-1 1.023293+0 2.301398-1 1.174898+0 1.754048-1 1.318257+0 1.408022-1 1.496236+0 1.114565-1 1.678804+0 9.078246-2 1.905461+0 7.298561-2 2.162719+0 5.911444-2 2.454709+0 4.822443-2 2.818383+0 3.891414-2 3.273407+0 3.109721-2 3.801894+0 2.504324-2 4.466836+0 1.998913-2 5.248075+0 1.607349-2 6.165950+0 1.301603-2 7.673615+0 9.869564-3 9.332543+0 7.765943-3 1.161449+1 5.988658-3 1.462177+1 4.590785-3 1.883649+1 3.452516-3 2.540973+1 2.486163-3 3.548134+1 1.738019-3 5.432503+1 1.111017-3 8.511380+1 6.984409-4 1.603245+2 3.661829-4 3.198895+2 1.822136-4 1.273503+3 4.552016-5 1.000000+5 5.787400-7 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 9.360200-3 1.500900-4 1.000000+5 1.500900-4 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 9.360200-3 1.645100-3 1.000000+5 1.645100-3 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 9.360200-3 7.565010-3 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 8.928700-3 2.569966+4 9.000000-3 2.515828+4 9.180000-3 2.410700+4 9.800000-3 2.044700+4 1.150000-2 1.345300+4 1.259700-2 1.051300+4 1.500000-2 6.491700+3 1.737801-2 4.305900+3 2.187762-2 2.219100+3 2.722701-2 1.164900+3 3.388442-2 6.038900+2 4.168694-2 3.208200+2 5.188000-2 1.631600+2 6.760830-2 7.132400+1 1.273503-1 9.727324+0 1.621810-1 4.572175+0 1.949845-1 2.589774+0 2.317395-1 1.531514+0 2.691535-1 9.785033-1 3.090295-1 6.519238-1 3.507519-1 4.525746-1 3.981072-1 3.166769-1 4.466836-1 2.305571-1 5.011872-1 1.691031-1 5.559043-1 1.287987-1 6.165950-1 9.876457-2 6.839117-1 7.627400-2 7.762471-1 5.597967-2 8.413951-1 4.627805-2 9.120108-1 3.854171-2 9.772372-1 3.317585-2 1.059254+0 2.808694-2 1.161449+0 2.338677-2 1.273503+0 1.960914-2 1.412538+0 1.621008-2 1.678804+0 1.191719-2 1.905461+0 9.576954-3 2.162719+0 7.755873-3 2.454709+0 6.327335-3 2.818383+0 5.106188-3 3.273407+0 4.080658-3 3.801894+0 3.286238-3 4.466836+0 2.623003-3 5.248075+0 2.109156-3 6.165950+0 1.707983-3 7.673615+0 1.295116-3 9.332543+0 1.019080-3 1.161449+1 7.858446-4 1.462177+1 6.024113-4 1.905461+1 4.472819-4 2.570396+1 3.221961-4 3.548134+1 2.280777-4 5.432503+1 1.457805-4 8.511380+1 9.165166-5 1.584893+2 4.861583-5 3.162278+2 2.418931-5 1.258925+3 6.042528-6 1.000000+5 7.594300-8 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 8.928700-3 1.253100-4 1.000000+5 1.253100-4 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 8.928700-3 1.878500-3 1.000000+5 1.878500-3 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 8.928700-3 6.924890-3 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 8.061700-3 5.656889+4 8.350000-3 5.194560+4 8.810489-3 4.504576+4 1.035142-2 2.894421+4 1.150000-2 2.147440+4 1.350000-2 1.352604+4 1.548817-2 9.074897+3 1.905461-2 4.881275+3 2.137962-2 3.437053+3 2.511886-2 2.091334+3 3.019952-2 1.173911+3 3.630781-2 6.529997+2 4.415704-2 3.471195+2 5.370318-2 1.830627+2 6.683439-2 8.888261+1 9.120108-2 3.154443+1 1.303167-1 9.576948+0 1.650000-1 4.377601+0 1.949845-1 2.532852+0 2.264644-1 1.561938+0 2.600160-1 1.006743+0 2.951209-1 6.781458-1 3.311311-1 4.769727-1 3.672823-1 3.498403-1 4.073803-1 2.583411-1 4.518559-1 1.921874-1 5.011872-1 1.441245-1 5.495409-1 1.123477-1 6.025596-1 8.815293-2 6.606935-1 6.964916-2 7.244360-1 5.540417-2 8.035261-1 4.317368-2 8.709636-1 3.567853-2 9.332543-1 3.049643-2 9.885531-1 2.691006-2 1.071519+0 2.278271-2 1.174898+0 1.898029-2 1.288250+0 1.593211-2 1.428894+0 1.318746-2 1.698244+0 9.704002-3 1.927525+0 7.802719-3 2.187762+0 6.323226-3 2.483133+0 5.161563-3 2.851018+0 4.167729-3 3.311311+0 3.332693-3 3.845918+0 2.685471-3 4.518559+0 2.144548-3 5.308844+0 1.725287-3 6.237348+0 1.397906-3 7.762471+0 1.060433-3 9.440609+0 8.348098-4 1.188502+1 6.353920-4 1.513561+1 4.811126-4 1.972423+1 3.575711-4 2.722701+1 2.514584-4 3.890451+1 1.718426-4 6.309573+1 1.036394-4 1.096478+2 5.874209-5 2.187762+2 2.914052-5 4.365158+2 1.452442-5 3.467369+3 1.820214-6 1.000000+5 6.308100-8 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 8.061700-3 1.174300-4 1.000000+5 1.174300-4 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 8.061700-3 1.385500-3 1.000000+5 1.385500-3 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 8.061700-3 6.558770-3 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.102500-3 3.847566+4 2.220000-3 3.616560+4 2.511886-3 3.074086+4 2.660725-3 2.832261+4 3.090295-3 2.273312+4 3.589219-3 1.811820+4 3.900000-3 1.584828+4 4.731513-3 1.150087+4 5.370318-3 9.228433+3 6.165950-3 7.223726+3 7.413102-3 5.150842+3 8.609938-3 3.881334+3 9.885531-3 2.972137+3 1.161449-2 2.161265+3 1.380384-2 1.523407+3 1.640590-2 1.064838+3 1.927525-2 7.566171+2 2.264644-2 5.336817+2 2.650000-2 3.770820+2 3.090295-2 2.666365+2 3.630781-2 1.840748+2 4.300000-2 1.237794+2 5.069907-2 8.346773+1 6.025596-2 5.479184+1 7.079458-2 3.673944+1 8.511380-2 2.308902+1 1.023293-1 1.440331+1 1.303167-1 7.687421+0 1.621810-1 4.329448+0 2.398833-1 1.543107+0 2.951209-1 8.993271-1 3.507519-1 5.772626-1 4.073803-1 3.959928-1 4.677351-1 2.818417-1 5.308844-1 2.078618-1 6.000000-1 1.560085-1 6.760830-1 1.188381-1 7.585776-1 9.207374-2 8.609938-1 7.009899-2 9.549926-1 5.650429-2 1.071519+0 4.487467-2 1.216186+0 3.505472-2 1.364583+0 2.820136-2 1.531087+0 2.284342-2 1.737801+0 1.826137-2 1.972423+0 1.471108-2 2.238721+0 1.193853-2 2.540973+0 9.757585-3 2.917427+0 7.888846-3 3.388442+0 6.315865-3 3.935501+0 5.094893-3 4.623810+0 4.073129-3 5.432503+0 3.280223-3 6.382635+0 2.660443-3 7.943282+0 2.020019-3 9.660509+0 1.591665-3 1.216186+1 1.212448-3 1.548817+1 9.187067-4 2.041738+1 6.746313-4 2.851018+1 4.690127-4 4.120975+1 3.169975-4 6.606934+1 1.936948-4 1.161449+2 1.085708-4 2.317395+2 5.388973-5 4.623810+2 2.686778-5 3.672823+3 3.367972-6 1.000000+5 1.236400-7 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.102500-3 1.145100-4 1.000000+5 1.145100-4 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.102500-3 6.411300-6 1.000000+5 6.411300-6 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.102500-3 1.981579-3 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.910400-3 6.250639+4 2.030000-3 5.828782+4 2.187762-3 5.366722+4 2.300000-3 5.044880+4 2.520700-3 4.459200+4 2.722701-3 3.996505+4 2.951209-3 3.544584+4 3.198895-3 3.119367+4 3.427678-3 2.778953+4 4.000000-3 2.118040+4 4.315191-3 1.841773+4 4.897788-3 1.442159+4 5.370318-3 1.200571+4 6.025596-3 9.456012+3 6.683439-3 7.585801+3 7.500000-3 5.884420+3 8.317638-3 4.659374+3 9.500000-3 3.420240+3 1.059254-2 2.637416+3 1.202264-2 1.934941+3 1.364583-2 1.408497+3 1.548817-2 1.017928+3 1.757924-2 7.305814+2 2.018366-2 5.049240+2 2.317395-2 3.463325+2 2.691535-2 2.283433+2 3.090295-2 1.543692+2 3.589219-2 1.003079+2 4.216965-2 6.259227+1 5.011872-2 3.748537+1 6.165950-2 2.008343+1 7.762471-2 9.952591+0 1.566751-1 1.146563+0 1.927525-1 6.097162-1 2.264644-1 3.758821-1 2.691535-1 2.254209-1 3.090295-1 1.507710-1 3.507519-1 1.049750-1 3.981072-1 7.362813-2 4.466836-1 5.371506-2 5.011872-1 3.948254-2 5.559043-1 3.014253-2 6.237348-1 2.250476-2 6.918310-1 1.742184-2 7.673615-1 1.358245-2 8.609938-1 1.036123-2 9.225714-1 8.856919-3 9.885531-1 7.622900-3 1.071519+0 6.456518-3 1.174898+0 5.379874-3 1.288250+0 4.515634-3 1.428894+0 3.736948-3 1.698244+0 2.749478-3 1.927525+0 2.211038-3 2.187762+0 1.792125-3 2.483133+0 1.463040-3 2.851018+0 1.181416-3 3.311311+0 9.447301-4 3.845918+0 7.612631-4 4.518559+0 6.079455-4 5.308844+0 4.890986-4 6.237348+0 3.962830-4 7.762471+0 3.006263-4 9.440609+0 2.366517-4 1.188502+1 1.801235-4 1.513561+1 1.363880-4 1.972423+1 1.013643-4 2.722701+1 7.128351-5 3.890451+1 4.871512-5 6.309573+1 2.938052-5 1.096478+2 1.665262-5 2.187762+2 8.260753-6 4.365158+2 4.117446-6 3.467369+3 5.159898-7 1.000000+5 1.788200-8 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.910400-3 9.616800-5 1.000000+5 9.616800-5 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.910400-3 8.928400-6 1.000000+5 8.928400-6 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.910400-3 1.805304-3 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.728500-3 1.708914+5 1.862087-3 1.558169+5 2.018366-3 1.391079+5 2.162719-3 1.252018+5 2.400000-3 1.060028+5 2.660725-3 8.927784+4 2.900000-3 7.674840+4 3.126079-3 6.687940+4 3.715352-3 4.804591+4 4.027170-3 4.089567+4 4.677351-3 2.996003+4 5.128614-3 2.458319+4 5.888437-3 1.809225+4 6.531306-3 1.427365+4 7.413102-3 1.060295+4 8.317638-3 8.028348+3 9.332543-3 6.040312+3 1.071519-2 4.254657+3 1.216186-2 3.060054+3 1.364583-2 2.253205+3 1.548817-2 1.598276+3 1.778279-2 1.090006+3 2.041738-2 7.374091+2 2.344229-2 4.949388+2 2.691535-2 3.297401+2 3.090295-2 2.181232+2 3.589219-2 1.383623+2 4.168694-2 8.713772+1 4.897788-2 5.256858+1 5.821032-2 3.036031+1 7.079458-2 1.616974+1 8.912509-2 7.643391+0 1.548817-1 1.250655+0 1.883649-1 6.630626-1 2.238721-1 3.814289-1 2.570396-1 2.467625-1 2.917427-1 1.666916-1 3.273407-1 1.174762-1 3.672823-1 8.339900-2 4.073803-1 6.170548-2 4.518559-1 4.599863-2 5.011872-1 3.453626-2 5.559043-1 2.611367-2 6.095369-1 2.050715-2 6.683439-1 1.622080-2 7.328245-1 1.291959-2 8.317638-1 9.540943-3 9.015711-1 7.914488-3 9.660509-1 6.791520-3 1.035142+0 5.873874-3 1.135011+0 4.879740-3 1.250000+0 4.050403-3 1.380384+0 3.372189-3 1.659587+0 2.427600-3 1.883649+0 1.949461-3 2.137962+0 1.577413-3 2.426610+0 1.285949-3 2.786121+0 1.037075-3 3.235937+0 8.282807-4 3.758374+0 6.666591-4 4.415704+0 5.318145-4 5.188000+0 4.274163-4 6.095369+0 3.459479-4 7.585776+0 2.622016-4 9.120108+0 2.091048-4 1.135011+1 1.611225-4 1.428894+1 1.234163-4 1.840772+1 9.275904-5 2.426610+1 6.844912-5 3.273407+1 4.958944-5 4.731513+1 3.361195-5 7.244360+1 2.158851-5 1.318257+2 1.169770-5 2.630268+2 5.812629-6 5.248075+2 2.899725-6 4.168694+3 3.636496-7 1.000000+5 1.515500-8 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.728500-3 8.784800-5 1.000000+5 8.784800-5 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.728500-3 3.364200-6 1.000000+5 3.364200-6 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.728500-3 1.637288-3 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.395200-3 4.366241+5 1.437000-3 4.839237+5 1.462177-3 5.014434+5 1.470000-3 5.061852+5 1.477000-3 5.074946+5 1.479108-3 5.088196+5 1.500000-3 5.076209+5 1.515000-3 5.034521+5 1.531087-3 4.954361+5 1.757924-3 3.504499+5 1.950000-3 2.693856+5 2.150000-3 2.086628+5 2.371374-3 1.601795+5 2.600160-3 1.241114+5 2.951209-3 8.669318+4 3.273407-3 6.395955+4 3.672823-3 4.540582+4 4.120975-3 3.193588+4 4.623810-3 2.233924+4 5.248075-3 1.494030+4 5.821032-3 1.069624+4 6.760830-3 6.534126+3 7.585776-3 4.438500+3 8.511380-3 2.998050+3 9.800000-3 1.838904+3 1.135011-2 1.095261+3 1.303167-2 6.672887+2 1.500000-2 3.998512+2 1.737801-2 2.321654+2 2.018366-2 1.325029+2 2.344229-2 7.505404+1 2.754229-2 4.039373+1 3.311311-2 1.972943+1 4.000000-2 9.389360+0 5.011872-2 3.841476+0 9.440609-2 3.078273-1 1.161449-1 1.355979-1 1.380384-1 6.895284-2 1.603245-1 3.863146-2 1.862087-1 2.179606-2 2.137962-1 1.294865-2 2.426610-1 8.092508-3 2.722701-1 5.314502-3 3.054921-1 3.514599-3 3.388442-1 2.437249-3 3.758374-1 1.702987-3 4.073803-1 1.296588-3 4.466836-1 9.567137-4 4.954502-1 6.846538-4 5.495409-1 4.931343-4 6.095369-1 3.578414-4 6.683439-1 2.707815-4 7.328245-1 2.064316-4 8.511380-1 1.346891-4 9.015711-1 1.150587-4 9.440609-1 1.020192-4 9.885531-1 9.101203-5 1.035142+0 8.176267-5 1.083927+0 7.396004-5 1.135011+0 6.729904-5 1.202264+0 6.021998-5 1.318257+0 5.092622-5 1.531087+0 3.932256-5 1.819701+0 2.903910-5 2.018366+0 2.434798-5 2.290868+0 1.978705-5 2.630268+0 1.590453-5 3.019952+0 1.288116-5 3.507519+0 1.033141-5 4.120975+0 8.214246-6 4.841724+0 6.580962-6 5.754399+0 5.231157-6 6.839116+0 4.191520-6 8.317638+0 3.282758-6 1.023293+1 2.555694-6 1.273503+1 1.976991-6 1.640590+1 1.480693-6 2.162719+1 1.089206-6 2.985383+1 7.678440-7 4.315191+1 5.194835-7 6.839116+1 3.214713-7 1.216186+2 1.781858-7 2.426610+2 8.847812-8 4.841724+2 4.412268-8 3.845918+3 5.531908-9 1.000000+5 2.12670-10 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.395200-3 6.295900-5 1.000000+5 6.295900-5 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.395200-3 9.648700-6 1.000000+5 9.648700-6 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.395200-3 1.322592-3 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.355300-3 8.590053+5 1.500000-3 7.484964+5 1.513561-3 7.374389+5 1.819701-3 4.611132+5 2.000000-3 3.602316+5 2.220000-3 2.721474+5 2.426610-3 2.127047+5 2.818383-3 1.391149+5 3.054921-3 1.098373+5 3.548134-3 7.014915+4 3.900000-3 5.246958+4 4.466836-3 3.432549+4 5.011872-3 2.375593+4 5.623413-3 1.633739+4 6.382635-3 1.073604+4 7.161434-3 7.278870+3 8.035261-3 4.903514+3 9.120108-3 3.152591+3 1.047129-2 1.930998+3 1.202264-2 1.173000+3 1.380384-2 7.069259+2 1.584893-2 4.227674+2 1.840772-2 2.402036+2 2.137962-2 1.353283+2 2.454709-2 7.913837+1 2.851018-2 4.396131+1 3.427678-2 2.113495+1 4.120975-2 1.007994+1 5.128614-2 4.151842+0 9.660509-2 3.131037-1 1.174898-1 1.417427-1 1.380384-1 7.432252-2 1.584893-1 4.303071-2 1.798871-1 2.625301-2 2.018366-1 1.686724-2 2.264644-1 1.094058-2 2.540973-1 7.144403-3 2.786121-1 5.112219-3 3.054921-1 3.681976-3 3.349654-1 2.670265-3 3.672823-1 1.950086-3 4.027170-1 1.434150-3 4.415705-1 1.061712-3 4.786301-1 8.215346-4 5.188000-1 6.400524-4 5.623413-1 5.022756-4 6.025596-1 4.104505-4 6.531306-1 3.268747-4 7.079458-1 2.622587-4 7.673615-1 2.119066-4 8.609938-1 1.573035-4 9.120108-1 1.363315-4 9.660509-1 1.189570-4 1.022000+0 1.049203-4 1.083927+0 9.267506-5 1.161449+0 8.069821-5 1.258925+0 6.923823-5 1.380384+0 5.860227-5 1.621810+0 4.411265-5 1.862087+0 3.467596-5 2.089296+0 2.857430-5 2.371374+0 2.326683-5 2.722701+0 1.873899-5 3.126079+0 1.520462-5 3.630781+0 1.221640-5 4.265795+0 9.729335-6 5.011872+0 7.807380-6 5.956621+0 6.215881-6 7.244360+0 4.844717-6 8.709636+0 3.856755-6 1.071519+1 3.007548-6 1.333521+1 2.329942-6 1.717908+1 1.747592-6 2.238721+1 1.303575-6 3.019952+1 9.426565-7 4.365158+1 6.379000-7 6.839116+1 3.995518-7 1.216186+2 2.214669-7 2.426610+2 1.099691-7 4.841724+2 5.483863-8 3.845918+3 6.875514-9 1.000000+5 2.64330-10 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.355300-3 5.800300-5 1.000000+5 5.800300-5 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.355300-3 9.998800-9 1.000000+5 9.998800-9 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.355300-3 1.297287-3 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 4.203500-4 8.947400+4 4.518559-4 8.603237+4 4.841724-4 8.231252+4 5.128614-4 7.887946+4 5.688529-4 7.264205+4 6.025596-4 6.900101+4 6.606934-4 6.281923+4 7.413102-4 5.561242+4 8.035261-4 5.071113+4 9.120108-4 4.339231+4 1.011579-3 3.798477+4 1.135011-3 3.247187+4 1.288250-3 2.714873+4 1.479108-3 2.212510+4 1.678804-3 1.822422+4 1.972423-3 1.410742+4 2.317395-3 1.082272+4 2.691535-3 8.399719+3 3.162278-3 6.348570+3 3.715352-3 4.765430+3 4.466836-3 3.407634+3 5.432503-3 2.366651+3 6.531306-3 1.667229+3 7.852356-3 1.166476+3 9.500000-3 8.001380+2 1.135011-2 5.585050+2 1.348963-2 3.911945+2 1.603245-2 2.720942+2 1.905461-2 1.878988+2 2.264644-2 1.288108+2 2.691535-2 8.764441+1 3.198895-2 5.917569+1 3.801894-2 3.964128+1 4.518559-2 2.635106+1 5.308844-2 1.787263+1 6.309573-2 1.170240+1 7.585776-2 7.392572+0 9.015711-2 4.770179+0 1.122019-1 2.715874+0 1.479108-1 1.321382+0 2.398833-1 3.697204-1 2.951209-1 2.155290-1 3.507519-1 1.383771-1 4.073803-1 9.493936-2 4.677351-1 6.757410-2 5.308844-1 4.983783-2 6.000000-1 3.740700-2 6.760830-1 2.849983-2 7.585776-1 2.208479-2 8.609938-1 1.681580-2 9.549926-1 1.355443-2 1.071519+0 1.076334-2 1.216186+0 8.408331-3 1.364583+0 6.764705-3 1.531087+0 5.479560-3 1.737801+0 4.380408-3 1.972423+0 3.528803-3 2.238721+0 2.863774-3 2.540973+0 2.340576-3 2.917427+0 1.892255-3 3.388442+0 1.514938-3 3.935501+0 1.222077-3 4.623810+0 9.770119-4 5.495409+0 7.749597-4 6.456542+0 6.288509-4 8.035261+0 4.776879-4 9.885531+0 3.713948-4 1.244515+1 2.831528-4 1.584893+1 2.147001-4 2.089296+1 1.577692-4 2.917427+1 1.097543-4 4.216965+1 7.421922-5 6.683439+1 4.591072-5 1.188502+2 2.543928-5 2.371374+2 1.262941-5 4.731513+2 6.297255-6 3.758374+3 7.894476-7 1.000000+5 2.965900-8 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 4.203500-4 6.782900-5 1.000000+5 6.782900-5 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.203500-4 2.096200-8 1.000000+5 2.096200-8 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.203500-4 3.525000-4 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 3.430500-4 7.300333+4 3.758374-4 7.111980+4 4.150000-4 6.965000+4 4.570882-4 6.922937+4 4.850000-4 6.851020+4 5.308844-4 6.694367+4 5.688529-4 6.538157+4 6.100000-4 6.342500+4 6.531306-4 6.114302+4 7.000000-4 5.847380+4 7.585776-4 5.513627+4 8.222426-4 5.162316+4 8.912509-4 4.793897+4 9.772372-4 4.369932+4 1.059254-3 4.005141+4 1.161449-3 3.597299+4 1.288250-3 3.162966+4 1.412538-3 2.800940+4 1.570000-3 2.417560+4 1.737801-3 2.083807+4 1.950000-3 1.746294+4 2.162719-3 1.479256+4 2.426610-3 1.220960+4 2.722701-3 1.000176+4 3.054921-3 8.134448+3 3.467369-3 6.428847+3 3.935501-3 5.039827+3 4.466836-3 3.920206+3 5.069907-3 3.026301+3 5.754399-3 2.319044+3 6.531306-3 1.764030+3 7.413102-3 1.332032+3 8.500000-3 9.751500+2 9.660509-3 7.227595+2 1.096478-2 5.334430+2 1.244515-2 3.908567+2 1.412538-2 2.843910+2 1.621810-2 1.994942+2 1.862087-2 1.388639+2 2.137962-2 9.594016+1 2.454709-2 6.581120+1 2.851018-2 4.341477+1 3.311311-2 2.841902+1 3.890451-2 1.786474+1 4.623810-2 1.077740+1 5.432503-2 6.677965+0 6.683439-2 3.579422+0 8.709636-2 1.599014+0 1.548817-1 2.740214-1 1.927525-1 1.410869-1 2.317395-1 8.122139-2 2.691535-1 5.220662-2 3.090295-1 3.494946-2 3.507519-1 2.435170-2 3.981072-1 1.709165-2 4.466836-1 1.247821-2 5.011872-1 9.175926-3 5.623413-1 6.799422-3 6.237348-1 5.227548-3 6.918310-1 4.046617-3 7.673615-1 3.155118-3 8.609938-1 2.408039-3 9.225714-1 2.059139-3 9.885531-1 1.772634-3 1.071519+0 1.501523-3 1.174898+0 1.251246-3 1.288250+0 1.050259-3 1.428894+0 8.690585-4 1.698244+0 6.393935-4 1.927525+0 5.141481-4 2.187762+0 4.166699-4 2.483133+0 3.401230-4 2.851018+0 2.746315-4 3.311311+0 2.196019-4 3.845918+0 1.769522-4 4.518559+0 1.413169-4 5.308844+0 1.136924-4 6.237348+0 9.211528-5 7.762471+0 6.987909-5 9.440609+0 5.500968-5 1.188502+1 4.186907-5 1.513561+1 3.170302-5 1.972423+1 2.356217-5 2.691535+1 1.677756-5 3.801894+1 1.160282-5 6.095369+1 7.078398-6 1.035142+2 4.105242-6 2.065380+2 2.035297-6 4.120975+2 1.014215-6 1.640590+3 2.536906-7 1.000000+5 4.156700-9 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 3.430500-4 5.199400-5 1.000000+5 5.199400-5 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.430500-4 2.440900-8 1.000000+5 2.440900-8 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.430500-4 2.910316-4 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 3.022000-4 2.889803+5 3.311311-4 2.746923+5 3.935501-4 2.529689+5 4.287500-4 2.416054+5 4.731513-4 2.270510+5 5.150000-4 2.136816+5 5.559043-4 2.010137+5 6.000000-4 1.878028+5 6.606934-4 1.708437+5 7.244360-4 1.549913+5 7.852356-4 1.414006+5 8.709636-4 1.246606+5 9.549926-4 1.107641+5 1.059254-3 9.621846+4 1.174898-3 8.301658+4 1.303167-3 7.112033+4 1.462177-3 5.944283+4 1.650000-3 4.883320+4 1.850000-3 4.023320+4 2.070000-3 3.303604+4 2.344229-3 2.635395+4 2.650000-3 2.092832+4 2.985383-3 1.660799+4 3.349654-3 1.319891+4 3.801894-3 1.017645+4 4.365158-3 7.597953+3 4.954502-3 5.768435+3 5.623413-3 4.348166+3 6.382635-3 3.253879+3 7.161434-3 2.484514+3 8.035261-3 1.885570+3 9.120108-3 1.382596+3 1.023293-2 1.035892+3 1.161449-2 7.487328+2 1.318257-2 5.372618+2 1.500000-2 3.802056+2 1.717908-2 2.623907+2 1.972423-2 1.784323+2 2.264644-2 1.204064+2 2.600160-2 8.064878+1 3.000000-2 5.285880+1 3.467369-2 3.420513+1 4.027170-2 2.165123+1 4.731513-2 1.312822+1 5.623413-2 7.620214+0 6.760830-2 4.232280+0 8.222426-2 2.248586+0 1.258925-1 5.602474-1 1.717908-1 2.037009-1 2.065380-1 1.126411-1 2.398833-1 7.007225-2 2.754229-1 4.554077-2 3.126079-1 3.090913-2 3.507519-1 2.188788-2 3.890451-1 1.615041-2 4.315191-1 1.200218-2 4.786301-1 8.985372-3 5.308844-1 6.778271-3 5.888437-1 5.153952-3 6.456542-1 4.068259-3 7.079458-1 3.232757-3 7.762471-1 2.586244-3 8.609938-1 2.023250-3 9.225714-1 1.728165-3 9.885531-1 1.486684-3 1.071519+0 1.258837-3 1.174898+0 1.048817-3 1.288250+0 8.803649-4 1.428894+0 7.286178-4 1.698244+0 5.361111-4 1.927525+0 4.310809-4 2.187762+0 3.493477-4 2.483133+0 2.851697-4 2.851018+0 2.302623-4 3.311311+0 1.841271-4 3.845918+0 1.483692-4 4.518559+0 1.184872-4 5.308844+0 9.532345-5 6.237348+0 7.723275-5 7.762471+0 5.858873-5 9.440609+0 4.612199-5 1.188502+1 3.510448-5 1.513561+1 2.658065-5 1.972423+1 1.975522-5 2.722701+1 1.389257-5 3.890451+1 9.494205-6 6.309573+1 5.726037-6 1.096478+2 3.245433-6 2.187762+2 1.609988-6 4.365158+2 8.024702-7 3.467369+3 1.005629-7 1.000000+5 3.485200-9 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 3.022000-4 4.699300-5 1.000000+5 4.699300-5 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.022000-4 1.234300-8 1.000000+5 1.234300-8 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.022000-4 2.551947-4 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.736300-4 3.006028+5 1.743000-4 3.093044+5 1.750000-4 3.203624+5 1.760000-4 3.386120+5 1.793000-4 4.111760+5 1.805000-4 4.383000+5 1.815000-4 4.596120+5 1.825000-4 4.790000+5 1.835000-4 4.958040+5 1.844000-4 5.083800+5 1.855000-4 5.201400+5 1.863000-4 5.261640+5 1.870000-4 5.297160+5 1.880000-4 5.321920+5 1.890000-4 5.318320+5 1.900000-4 5.289800+5 1.914000-4 5.214880+5 1.927525-4 5.112215+5 1.940000-4 4.997480+5 1.955000-4 4.842400+5 1.978000-4 4.582360+5 2.000000-4 4.323000+5 2.030000-4 3.969056+5 2.065380-4 3.568823+5 2.113489-4 3.072323+5 2.205000-4 2.315868+5 2.250000-4 2.037308+5 2.280000-4 1.883520+5 2.307000-4 1.765136+5 2.340000-4 1.644100+5 2.371374-4 1.550609+5 2.400000-4 1.481796+5 2.430000-4 1.424584+5 2.454709-4 1.387875+5 2.483133-4 1.356040+5 2.511886-4 1.333514+5 2.540973-4 1.319861+5 2.570396-4 1.314296+5 2.600160-4 1.316080+5 2.635000-4 1.326360+5 2.670000-4 1.344304+5 2.710000-4 1.372504+5 2.770000-4 1.426936+5 2.830000-4 1.491912+5 3.126079-4 1.875755+5 3.240000-4 2.024356+5 3.350000-4 2.159040+5 3.470000-4 2.292184+5 3.589219-4 2.408564+5 3.715352-4 2.514199+5 3.850000-4 2.608488+5 4.000000-4 2.692964+5 4.150000-4 2.757300+5 4.315191-4 2.806463+5 4.500000-4 2.837564+5 4.700000-4 2.848008+5 4.930000-4 2.837196+5 5.150000-4 2.808892+5 5.400000-4 2.759328+5 5.688529-4 2.685295+5 6.025596-4 2.583931+5 6.382635-4 2.467783+5 6.760830-4 2.340118+5 7.161434-4 2.203599+5 7.585776-4 2.062371+5 8.128305-4 1.891166+5 8.709636-4 1.720683+5 9.332543-4 1.554506+5 1.000000-3 1.395392+5 1.071519-3 1.244576+5 1.161449-3 1.081089+5 1.258925-3 9.320794+4 1.365000-3 7.972832+4 1.479108-3 6.782803+4 1.610000-3 5.677080+4 1.757924-3 4.688055+4 1.927525-3 3.806792+4 2.113489-3 3.068370+4 2.317395-3 2.456750+4 2.570396-3 1.897736+4 2.851018-3 1.454023+4 3.162278-3 1.105548+4 3.467369-3 8.612518+3 3.801894-3 6.672343+3 4.216965-3 4.974043+3 4.677351-3 3.682933+3 5.188000-3 2.708925+3 5.821032-3 1.911269+3 6.456542-3 1.387038+3 7.244360-3 9.641122+2 8.128305-3 6.651639+2 9.120108-3 4.555327+2 1.023293-2 3.097519+2 1.148154-2 2.091625+2 1.303167-2 1.347680+2 1.479108-2 8.618042+1 1.678804-2 5.472147+1 1.927525-2 3.308786+1 2.213095-2 1.985868+1 2.570396-2 1.133428+1 3.000000-2 6.302920+0 3.548134-2 3.306030+0 4.265795-2 1.615365+0 5.370318-2 6.541511-1 1.011580-1 5.359001-2 1.244515-1 2.377913-2 1.479108-1 1.216613-2 1.717908-1 6.853588-3 1.972423-1 4.062720-3 2.238721-1 2.532208-3 2.540973-1 1.589605-3 2.851018-1 1.048234-3 3.198895-1 6.959659-4 3.548134-1 4.846535-4 3.935501-1 3.400573-4 4.315191-1 2.500781-4 4.731513-1 1.851295-4 5.248075-1 1.329890-4 5.821032-1 9.629605-5 6.456542-1 7.022998-5 7.079458-1 5.342314-5 7.673615-1 4.233245-5 8.511380-1 3.157513-5 9.015711-1 2.699423-5 9.440609-1 2.394799-5 9.885531-1 2.137348-5 1.035142+0 1.920708-5 1.083927+0 1.737739-5 1.148154+0 1.545774-5 1.216186+0 1.384983-5 1.318257+0 1.196492-5 1.531087+0 9.235390-6 1.819701+0 6.820751-6 2.041738+0 5.609918-6 2.317395+0 4.561517-6 2.660725+0 3.669019-6 3.054921+0 2.973603-6 3.548134+0 2.386396-6 4.168694+0 1.898456-6 4.897788+0 1.521836-6 5.821032+0 1.210292-6 7.000000+0 9.559800-7 8.413951+0 7.602054-7 1.035142+1 5.920784-7 1.300000+1 4.534000-7 1.678804+1 3.388730-7 2.200000+1 2.510800-7 3.019952+1 1.781308-7 4.315191+1 1.220089-7 6.839116+1 7.550300-8 1.216186+2 4.184963-8 2.426610+2 2.078093-8 4.841724+2 1.036267-8 3.845918+3 1.299299-9 1.000000+5 4.99500-11 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.736300-4 3.029600-5 1.000000+5 3.029600-5 1 67000 7 7 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.736300-4 1.792400-8 1.000000+5 1.792400-8 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.736300-4 1.433161-4 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.662300-4 4.314774+5 1.667000-4 4.447380+5 1.700000-4 5.611038+5 1.711000-4 6.035160+5 1.723000-4 6.489360+5 1.732800-4 6.839681+5 1.740000-4 7.078740+5 1.750000-4 7.377180+5 1.760000-4 7.629600+5 1.770000-4 7.830300+5 1.781000-4 7.988400+5 1.792000-4 8.081340+5 1.800000-4 8.109960+5 1.810000-4 8.103660+5 1.820000-4 8.055780+5 1.831000-4 7.962120+5 1.844000-4 7.806916+5 1.858000-4 7.599000+5 1.873200-4 7.340373+5 1.890000-4 7.030140+5 1.915000-4 6.548100+5 1.940000-4 6.065760+5 1.972423-4 5.464734+5 2.018366-4 4.688730+5 2.113489-4 3.422402+5 2.150000-4 3.060144+5 2.180000-4 2.810250+5 2.205000-4 2.632572+5 2.230000-4 2.480442+5 2.260000-4 2.328846+5 2.280000-4 2.244828+5 2.307000-4 2.150976+5 2.330000-4 2.087256+5 2.358000-4 2.027736+5 2.386900-4 1.985066+5 2.415000-4 1.959336+5 2.440000-4 1.948218+5 2.465000-4 1.946958+5 2.490000-4 1.954476+5 2.520000-4 1.973688+5 2.560000-4 2.014056+5 2.600160-4 2.068506+5 2.650000-4 2.151162+5 2.730000-4 2.308146+5 2.917427-4 2.728439+5 3.019952-4 2.962648+5 3.126079-4 3.195711+5 3.200000-4 3.348846+5 3.311311-4 3.561059+5 3.427678-4 3.756782+5 3.548134-4 3.930263+5 3.672823-4 4.080332+5 3.801894-4 4.206970+5 3.935501-4 4.310263+5 4.073803-4 4.389930+5 4.216965-4 4.445603+5 4.365158-4 4.477576+5 4.550000-4 4.486590+5 4.731513-4 4.468936+5 4.954502-4 4.419850+5 5.188000-4 4.343168+5 5.432503-4 4.240231+5 5.754399-4 4.083005+5 6.100000-4 3.898704+5 6.456542-4 3.700147+5 6.850000-4 3.479286+5 7.328245-4 3.218575+5 7.800000-4 2.974230+5 8.317638-4 2.723525+5 8.912509-4 2.461443+5 9.549926-4 2.209648+5 1.035142-3 1.932607+5 1.110000-3 1.710312+5 1.202264-3 1.476189+5 1.303167-3 1.263928+5 1.412538-3 1.074225+5 1.531087-3 9.075082+4 1.678804-3 7.422975+4 1.819701-3 6.188801+4 2.018366-3 4.857054+4 2.220000-3 3.855684+4 2.400000-3 3.175392+4 2.660725-3 2.438695+4 2.985383-3 1.799332+4 3.349654-3 1.315258+4 3.758374-3 9.528251+3 4.216965-3 6.843119+3 4.700000-3 4.971510+3 5.248075-3 3.566436+3 5.821032-3 2.592007+3 6.531306-3 1.804305+3 7.328245-3 1.246344+3 8.222426-3 8.543941+2 9.225714-3 5.812601+2 1.035142-2 3.925844+2 1.161449-2 2.632587+2 1.318257-2 1.682894+2 1.500000-2 1.057722+2 1.698244-2 6.720314+1 1.927525-2 4.201548+1 2.213095-2 2.498163+1 2.540973-2 1.474531+1 2.951209-2 8.265970+0 3.467369-2 4.395651+0 4.120975-2 2.216469+0 5.011872-2 1.011792+0 6.165950-2 4.380310-1 9.549926-2 7.422528-2 1.174898-1 3.222538-2 1.380384-1 1.695844-2 1.603245-1 9.413104-3 1.819701-1 5.760248-3 2.041738-1 3.710392-3 2.290868-1 2.407302-3 2.540973-1 1.642098-3 2.818383-1 1.128074-3 3.090295-1 8.133200-4 3.388442-1 5.904896-4 3.715352-1 4.319522-4 4.027170-1 3.307911-4 4.365158-1 2.552015-4 4.786301-1 1.911246-4 5.308844-1 1.391999-4 5.754399-1 1.094892-4 6.165950-1 8.962774-5 6.683439-1 7.147663-5 7.244360-1 5.739630-5 7.852356-1 4.639688-5 8.609938-1 3.647666-5 9.120108-1 3.157054-5 9.660509-1 2.751611-5 1.011579+0 2.480002-5 1.071519+0 2.192828-5 1.148154+0 1.906586-5 1.230269+0 1.669583-5 1.333521+0 1.440193-5 1.778279+0 8.679451-6 2.000000+0 7.102600-6 2.264644+0 5.790747-6 2.570396+0 4.735767-6 2.951209+0 3.831092-6 3.427678+0 3.069023-6 4.000000+0 2.460600-6 4.677351+0 1.981356-6 5.495409+0 1.596501-6 6.456542+0 1.295532-6 8.035261+0 9.840799-7 9.885531+0 7.651054-7 1.244515+1 5.833205-7 1.600000+1 4.375700-7 2.113489+1 3.209380-7 2.917427+1 2.261078-7 4.216965+1 1.528995-7 6.683439+1 9.457931-8 1.188502+2 5.240743-8 2.371374+2 2.601725-8 4.731513+2 1.297302-8 3.758374+3 1.626341-9 1.000000+5 6.11000-11 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.662300-4 2.847600-5 1.000000+5 2.847600-5 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.662300-4 1.377540-4 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 1.080000-5 5.919498+5 1.115000-5 5.593175+5 1.161449-5 5.242081+5 1.202264-5 4.989534+5 1.255000-5 4.731309+5 1.303167-5 4.549048+5 1.350000-5 4.415008+5 1.400000-5 4.309356+5 1.450000-5 4.237793+5 1.500000-5 4.196972+5 1.550000-5 4.182990+5 1.610000-5 4.196468+5 1.670000-5 4.239806+5 1.737801-5 4.319940+5 1.800000-5 4.420038+5 1.870000-5 4.560166+5 1.950000-5 4.753041+5 2.041738-5 5.013624+5 2.137962-5 5.327403+5 2.238721-5 5.695837+5 2.371374-5 6.237541+5 2.540973-5 7.013090+5 3.198895-5 1.060661+6 3.467369-5 1.218896+6 3.715352-5 1.363589+6 3.935501-5 1.488498+6 4.168694-5 1.615486+6 4.415704-5 1.743040+6 4.731513-5 1.895934+6 5.069907-5 2.048128+6 5.432503-5 2.198368+6 5.900000-5 2.374527+6 6.309573-5 2.511966+6 6.760830-5 2.643055+6 7.161434-5 2.741482+6 7.585776-5 2.825324+6 8.035261-5 2.893231+6 8.511380-5 2.944902+6 9.120108-5 2.984096+6 9.800000-5 3.004700+6 1.071519-4 3.002511+6 1.150000-4 2.982331+6 1.244515-4 2.937356+6 1.318257-4 2.888161+6 1.412538-4 2.811487+6 1.500000-4 2.729696+6 1.621810-4 2.608429+6 1.760000-4 2.464423+6 1.862087-4 2.357157+6 2.000000-4 2.211544+6 2.120000-4 2.085206+6 2.264644-4 1.938671+6 2.454709-4 1.756615+6 2.630268-4 1.600988+6 2.786121-4 1.473396+6 3.000000-4 1.312831+6 3.239550-4 1.153021+6 3.467369-4 1.020131+6 3.715352-4 8.939398+5 3.981072-4 7.775766+5 4.265795-4 6.715060+5 4.570882-4 5.759096+5 4.897788-4 4.906493+5 5.248075-4 4.153211+5 5.688529-4 3.393144+5 6.165950-4 2.751010+5 6.683439-4 2.214486+5 7.244360-4 1.770477+5 7.852356-4 1.406366+5 8.609938-4 1.072860+5 9.440609-4 8.122819+4 1.035142-3 6.105909+4 1.135011-3 4.558045+4 1.244515-3 3.380092+4 1.380384-3 2.396478+4 1.531087-3 1.686428+4 1.698244-3 1.178570+4 1.883649-3 8.178854+3 2.089296-3 5.637504+3 2.344229-3 3.699915+3 2.630268-3 2.409236+3 2.951209-3 1.556901+3 3.311311-3 9.988197+2 3.715352-3 6.362006+2 4.168694-3 4.024169+2 4.677351-3 2.528000+2 5.248075-3 1.574062+2 5.956621-3 9.272846+1 6.760830-3 5.422618+1 7.673615-3 3.147153+1 8.709636-3 1.812966+1 9.772372-3 1.090226+1 1.122018-2 5.875266+0 1.303167-2 2.982480+0 1.531087-2 1.425472+0 1.798871-2 6.767612-1 2.089296-2 3.364085-1 2.454709-2 1.572231-1 2.951209-2 6.538787-2 3.589219-2 2.551598-2 6.839116-2 1.127394-3 8.413951-2 4.165421-4 1.000000-1 1.829700-4 1.161449-1 9.025723-5 1.333521-1 4.736107-5 1.513561-1 2.642325-5 1.698244-1 1.566211-5 1.905461-1 9.351515-6 2.137962-1 5.627208-6 2.371374-1 3.587965-6 2.630268-1 2.304210-6 2.917427-1 1.491059-6 3.235937-1 9.711480-7 3.507519-1 7.001058-7 3.801894-1 5.081498-7 4.027170-1 4.061866-7 4.365158-1 2.997378-7 4.841724-1 2.044877-7 5.495409-1 1.289389-7 6.095369-1 8.907158-8 6.606935-1 6.719283-8 7.079458-1 5.311150-8 7.498942-1 4.390742-8 8.511380-1 2.929868-8 8.912509-1 2.540116-8 9.332543-1 2.215918-8 9.660509-1 2.011267-8 1.000000+0 1.836200-8 1.035142+0 1.687293-8 1.071519+0 1.558633-8 1.122018+0 1.412368-8 1.174898+0 1.288863-8 1.244515+0 1.158652-8 1.333521+0 1.026675-8 1.513561+0 8.323748-9 1.883649+0 5.676466-9 2.089296+0 4.768016-9 2.371374+0 3.882183-9 2.722701+0 3.126642-9 3.126079+0 2.536943-9 3.630781+0 2.038393-9 4.265795+0 1.623386-9 5.011872+0 1.302642-9 5.888437+0 1.052726-9 7.161434+0 8.20154-10 8.609938+0 6.52596-10 1.059254+1 5.08692-10 1.318257+1 3.93948-10 1.698244+1 2.95373-10 2.238721+1 2.17497-10 3.054921+1 1.55353-10 4.415704+1 1.05159-10 6.918310+1 6.58789-11 1.244515+2 3.60954-11 2.483133+2 1.79275-11 4.954502+2 8.94065-12 3.935501+3 1.12110-12 1.000000+5 4.41040-14 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 1.080000-5 1.080000-5 1.000000+5 1.080000-5 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.080000-5 0.0 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 9.730000-6 8.642034+5 1.011579-5 8.038960+5 1.050000-5 7.553286+5 1.096478-5 7.085869+5 1.135011-5 6.780633+5 1.180000-5 6.498481+5 1.220100-5 6.304864+5 1.258925-5 6.162730+5 1.303167-5 6.046044+5 1.352100-5 5.965101+5 1.400000-5 5.928713+5 1.445440-5 5.928069+5 1.500000-5 5.966063+5 1.550000-5 6.033534+5 1.610000-5 6.151177+5 1.678804-5 6.329692+5 1.750000-5 6.557693+5 1.830000-5 6.860790+5 1.920000-5 7.254589+5 2.018366-5 7.742643+5 2.137962-5 8.408505+5 2.290868-5 9.360440+5 2.500000-5 1.081620+6 3.019952-5 1.492797+6 3.300000-5 1.725918+6 3.548134-5 1.929151+6 3.801894-5 2.128982+6 4.073803-5 2.332055+6 4.365158-5 2.534033+6 4.677351-5 2.734039+6 5.011872-5 2.931841+6 5.432503-5 3.156762+6 5.900000-5 3.380882+6 6.309573-5 3.551627+6 6.800000-5 3.725245+6 7.244360-5 3.850220+6 7.762471-5 3.958226+6 8.222426-5 4.024532+6 8.810489-5 4.072708+6 9.440609-5 4.094851+6 1.035142-4 4.085102+6 1.109175-4 4.053375+6 1.202264-4 3.989712+6 1.288250-4 3.906311+6 1.380384-4 3.800210+6 1.500000-4 3.639891+6 1.603245-4 3.492305+6 1.720000-4 3.323990+6 1.862087-4 3.116088+6 1.980000-4 2.944289+6 2.120000-4 2.744970+6 2.300000-4 2.498683+6 2.454709-4 2.300563+6 2.600160-4 2.128150+6 2.810000-4 1.898724+6 3.019952-4 1.691608+6 3.235937-4 1.502785+6 3.467369-4 1.324838+6 3.715352-4 1.159258+6 3.981072-4 1.007003+6 4.265795-4 8.684595+5 4.570882-4 7.438662+5 4.897788-4 6.329640+5 5.248075-4 5.351460+5 5.688529-4 4.366267+5 6.165950-4 3.535611+5 6.683439-4 2.842843+5 7.328245-4 2.196964+5 8.000000-4 1.705755+5 8.709636-4 1.325472+5 9.440609-4 1.036909+5 1.035142-3 7.777122+4 1.148154-3 5.582151+4 1.288250-3 3.829916+4 1.428894-3 2.707947+4 1.566751-3 1.976734+4 1.737801-3 1.377028+4 1.927525-3 9.524481+3 2.162719-3 6.274933+3 2.426610-3 4.103244+3 2.722701-3 2.662517+3 3.054921-3 1.716110+3 3.388442-3 1.147598+3 3.715352-3 7.974092+2 4.120975-3 5.242604+2 4.623810-3 3.265453+2 5.688529-3 1.379290+2 6.456542-3 8.089901+1 7.161434-3 5.195632+1 8.035261-3 3.146661+1 9.120108-3 1.798254+1 1.047129-2 9.687752+0 1.202264-2 5.181403+0 1.396368-2 2.609897+0 1.659587-2 1.173113+0 1.949845-2 5.518212-1 2.264644-2 2.719237-1 2.660725-2 1.257837-1 3.198895-2 5.171016-2 3.935501-2 1.887446-2 6.998420-2 1.132182-3 9.015711-2 3.307990-4 1.047129-1 1.609612-4 1.202264-1 8.337372-5 1.364583-1 4.595053-5 1.531088-1 2.692573-5 1.698244-1 1.675540-5 1.883649-1 1.050096-5 2.089296-1 6.632450-6 2.290868-1 4.439228-6 2.511886-1 2.991808-6 2.754229-1 2.031385-6 3.000000-1 1.428500-6 3.235937-1 1.051816-6 3.507519-1 7.648116-7 3.758374-1 5.860133-7 4.027170-1 4.520138-7 4.318900-1 3.496900-7 4.677351-1 2.629465-7 5.069907-1 1.986472-7 5.559043-1 1.454400-7 6.025596-1 1.114916-7 6.531306-1 8.614205-8 6.998420-1 6.951962-8 7.498942-1 5.648382-8 8.035261-1 4.620142-8 8.810489-1 3.567996-8 9.332543-1 3.051499-8 9.772372-1 2.710808-8 1.022000+0 2.433200-8 1.071519+0 2.188198-8 1.122018+0 1.987093-8 1.188502+0 1.775419-8 1.288250+0 1.531832-8 1.396368+0 1.331099-8 1.513561+0 1.161143-8 1.840772+0 8.237995-9 2.044000+0 6.898300-9 2.317395+0 5.619655-9 2.660725+0 4.520091-9 3.054921+0 3.663293-9 3.548134+0 2.939935-9 4.168694+0 2.338777-9 4.897788+0 1.874718-9 5.754399+0 1.513571-9 6.839116+0 1.212774-9 8.317638+0 9.49828-10 1.023293+1 7.39448-10 1.273503+1 5.72011-10 1.640590+1 4.28420-10 2.162719+1 3.15157-10 2.951209+1 2.24923-10 4.265795+1 1.52136-10 6.760830+1 9.41241-11 1.202264+2 5.21646-11 2.398833+2 2.58994-11 4.786301+2 1.29148-11 3.801894+3 1.61917-12 1.000000+5 6.15340-14 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 9.730000-6 9.730000-6 1.000000+5 9.730000-6 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 9.730000-6 0.0 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 5.519000-5 5.209740+4 5.620000-5 5.118640+4 5.730000-5 5.065840+4 5.850000-5 5.051960+4 5.970000-5 5.078660+4 6.095369-5 5.140010+4 6.237348-5 5.241992+4 6.400000-5 5.392860+4 6.650000-5 5.672520+4 7.413102-5 6.638106+4 7.800000-5 7.100500+4 8.150000-5 7.473100+4 8.511380-5 7.801911+4 8.810489-5 8.029027+4 9.150000-5 8.237400+4 9.549926-5 8.418921+4 1.000000-4 8.549820+4 1.047129-4 8.618090+4 1.100000-4 8.629900+4 1.161449-4 8.580923+4 1.230269-4 8.470971+4 1.318257-4 8.276150+4 1.412538-4 8.025372+4 1.513561-4 7.725396+4 1.621810-4 7.381992+4 1.737801-4 7.005848+4 1.883649-4 6.543841+4 2.080000-4 5.969400+4 2.300000-4 5.398480+4 2.540973-4 4.850675+4 2.851018-4 4.250888+4 3.273407-4 3.599953+4 3.715352-4 3.068855+4 4.365158-4 2.483096+4 5.069907-4 2.025461+4 6.095369-4 1.563059+4 7.328245-4 1.195854+4 8.709636-4 9.237553+3 1.035142-3 7.087805+3 1.230269-3 5.400760+3 1.462177-3 4.086814+3 1.737801-3 3.070895+3 2.089296-3 2.246728+3 2.511886-3 1.631270+3 3.019952-3 1.175666+3 3.672823-3 8.234362+2 4.466836-3 5.724471+2 5.559043-3 3.782087+2 6.760830-3 2.591606+2 8.222426-3 1.762825+2 1.000000-2 1.189973+2 1.202264-2 8.162305+1 1.445440-2 5.557744+1 1.737801-2 3.754425+1 2.162719-2 2.335890+1 2.600160-2 1.555713+1 3.054921-2 1.082466+1 3.589219-2 7.464661+0 4.216965-2 5.110341+0 5.011872-2 3.379103+0 5.956621-2 2.217450+0 7.161434-2 1.403923+0 8.413951-2 9.350270-1 1.035142-1 5.497080-1 1.333521-1 2.846940-1 1.640590-1 1.652494-1 2.398833-1 6.076691-2 2.951209-1 3.543012-2 3.507519-1 2.274808-2 4.073803-1 1.560752-2 4.677351-1 1.110922-2 5.308844-1 8.193645-3 6.000000-1 6.150100-3 6.760830-1 4.685649-3 7.585776-1 3.630955-3 8.609938-1 2.764744-3 9.549926-1 2.228617-3 1.071519+0 1.769788-3 1.216186+0 1.382535-3 1.364583+0 1.112271-3 1.531087+0 9.009630-4 1.737801+0 7.202352-4 1.972423+0 5.802146-4 2.238721+0 4.708741-4 2.540973+0 3.848513-4 2.917427+0 3.111377-4 3.388442+0 2.490958-4 3.935501+0 2.009409-4 4.623810+0 1.606474-4 5.495409+0 1.274204-4 6.456542+0 1.033956-4 8.035261+0 7.854320-5 9.885531+0 6.106647-5 1.244515+1 4.655650-5 1.600000+1 3.492400-5 2.113489+1 2.561560-5 2.917427+1 1.804655-5 4.216965+1 1.220341-5 6.683439+1 7.548806-6 1.188502+2 4.182814-6 2.371374+2 2.076610-6 4.731513+2 1.035402-6 3.758374+3 1.298088-7 1.000000+5 4.876600-9 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 5.519000-5 5.519000-5 1.000000+5 5.519000-5 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 5.519000-5 0.0 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 3.389000-5 8.922460+6 3.440000-5 8.209880+6 3.507519-5 7.418864+6 3.589219-5 6.632169+6 3.672823-5 5.971787+6 3.780000-5 5.272480+6 3.920000-5 4.543520+6 4.120975-5 3.735443+6 5.188000-5 1.559870+6 6.237348-5 7.724785+5 6.839116-5 5.467441+5 7.413102-5 4.066371+5 8.035261-5 3.045621+5 8.609938-5 2.393035+5 9.120108-5 1.969367+5 9.660509-5 1.631900+5 1.020000-4 1.376626+5 1.071519-4 1.188236+5 1.122018-4 1.042484+5 1.174898-4 9.208296+4 1.230269-4 8.190794+4 1.288400-4 7.335424+4 1.350000-4 6.608320+4 1.412538-4 6.013153+4 1.480000-4 5.494000+4 1.548817-4 5.065023+4 1.621810-4 4.694673+4 1.698244-4 4.377636+4 1.800000-4 4.038160+4 1.905461-4 3.757820+4 2.041738-4 3.469514+4 2.220000-4 3.175060+4 2.454709-4 2.878609+4 2.851018-4 2.511714+4 3.672823-4 2.001969+4 4.265795-4 1.739626+4 4.841724-4 1.535722+4 5.559043-4 1.330277+4 6.309573-4 1.158198+4 7.244360-4 9.874838+3 8.222426-4 8.466873+3 9.332543-4 7.206233+3 1.047129-3 6.182741+3 1.188502-3 5.185659+3 1.348963-3 4.317251+3 1.531087-3 3.566781+3 1.717908-3 2.977394+3 1.949845-3 2.421360+3 2.213095-3 1.954265+3 2.511886-3 1.565440+3 2.851018-3 1.244748+3 3.235937-3 9.825891+2 3.672823-3 7.700999+2 4.168694-3 5.993140+2 4.731513-3 4.631708+2 5.370318-3 3.554593+2 6.095369-3 2.708997+2 6.918310-3 2.050290+2 7.852356-3 1.540954+2 8.912509-3 1.150078+2 9.885531-3 8.999352+1 1.135011-2 6.439129+1 1.318257-2 4.444744+1 1.621810-2 2.632984+1 1.862087-2 1.844609+1 2.065380-2 1.404022+1 2.344229-2 9.971265+0 2.691535-2 6.809134+0 3.162278-2 4.325095+0 3.715352-2 2.726503+0 4.365158-2 1.705943+0 5.188000-2 1.024498+0 6.309573-2 5.699122-1 8.035261-2 2.737945-1 1.566751-1 3.543900-2 1.949845-1 1.825479-2 2.317395-1 1.088203-2 2.691535-1 6.995730-3 3.090295-1 4.683854-3 3.507519-1 3.263866-3 3.981072-1 2.290925-3 4.466836-1 1.672570-3 5.011872-1 1.229878-3 5.623413-1 9.112150-4 6.237348-1 7.005172-4 6.918310-1 5.423057-4 7.673615-1 4.228629-4 8.609938-1 3.226861-4 9.225714-1 2.758955-4 9.885531-1 2.374931-4 1.071519+0 2.011709-4 1.174898+0 1.676263-4 1.288250+0 1.406909-4 1.428894+0 1.164188-4 1.698244+0 8.564730-5 1.927525+0 6.886926-5 2.187762+0 5.581315-5 2.483133+0 4.556000-5 2.851018+0 3.678720-5 3.311311+0 2.941575-5 3.845918+0 2.370258-5 4.518559+0 1.892881-5 5.308844+0 1.522876-5 6.237348+0 1.233885-5 7.762471+0 9.360071-6 9.440609+0 7.368433-6 1.188502+1 5.608295-6 1.513561+1 4.246540-6 1.972423+1 3.156107-6 2.722701+1 2.219528-6 3.890451+1 1.516813-6 6.309573+1 9.147790-7 1.096478+2 5.184845-7 2.187762+2 2.572053-7 4.365158+2 1.281997-7 3.467369+3 1.606555-8 1.000000+5 5.56780-10 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 3.389000-5 3.389000-5 1.000000+5 3.389000-5 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.389000-5 0.0 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.858000-5 2.026124+7 2.890000-5 1.893712+7 2.930000-5 1.749824+7 2.990000-5 1.567728+7 3.060000-5 1.393584+7 3.126079-5 1.257127+7 3.230000-5 1.082432+7 3.350000-5 9.237120+6 3.507519-5 7.629732+6 3.730000-5 5.959000+6 4.168694-5 3.851819+6 4.841724-5 2.155856+6 5.300000-5 1.528108+6 5.688529-5 1.175718+6 6.025596-5 9.558986+5 6.400000-5 7.752880+5 6.760830-5 6.456414+5 7.079458-5 5.571860+5 7.413102-5 4.839333+5 7.762471-5 4.232451+5 8.128305-5 3.729451+5 8.500000-5 3.323324+5 8.810489-5 3.046814+5 9.150000-5 2.795372+5 9.549926-5 2.552756+5 1.000000-4 2.332772+5 1.047129-4 2.147517+5 1.100000-4 1.980052+5 1.161449-4 1.824182+5 1.230269-4 1.684846+5 1.303167-4 1.566033+5 1.400000-4 1.439968+5 1.513561-4 1.323484+5 1.698244-4 1.179033+5 2.371374-4 8.552233+4 2.786121-4 7.276831+4 3.235937-4 6.220281+4 3.700000-4 5.368360+4 4.265795-4 4.556581+4 4.841724-4 3.912944+4 5.623413-4 3.241637+4 6.456542-4 2.703837+4 7.413102-4 2.237993+4 8.511380-4 1.838604+4 9.772372-4 1.498692+4 1.109175-3 1.234146+4 1.258925-3 1.009302+4 1.428894-3 8.197149+3 1.621810-3 6.610714+3 1.840772-3 5.293814+3 2.089296-3 4.209271+3 2.371374-3 3.323107+3 2.691535-3 2.605137+3 3.054921-3 2.028122+3 3.467369-3 1.568080+3 3.935501-3 1.204031+3 4.466836-3 9.181474+2 5.069907-3 6.953128+2 5.754399-3 5.229169+2 6.531306-3 3.905965+2 7.413102-3 2.897084+2 8.413951-3 2.133599+2 9.549926-3 1.560119+2 1.083927-2 1.132388+2 1.230269-2 8.160068+1 1.396368-2 5.838602+1 1.584893-2 4.149097+1 1.819701-2 2.836299+1 2.089296-2 1.923758+1 2.398833-2 1.294923+1 2.754229-2 8.652833+0 3.162278-2 5.740946+0 3.672823-2 3.652946+0 4.265795-2 2.307200+0 5.011872-2 1.395963+0 6.000000-2 7.903620-1 7.328245-2 4.160333-1 9.549926-2 1.762053-1 1.603245-1 3.256697-2 1.949845-1 1.731380-2 2.290868-1 1.036113-2 2.630268-1 6.718401-3 3.000000-1 4.480900-3 3.388442-1 3.103307-3 3.801894-1 2.209555-3 4.216965-1 1.639407-3 4.677351-1 1.225352-3 5.188000-1 9.228413-4 5.754399-1 7.005397-4 6.309573-1 5.521582-4 6.918310-1 4.381439-4 7.585776-1 3.500165-4 8.609938-1 2.591761-4 9.225714-1 2.213837-4 9.885531-1 1.904592-4 1.071519+0 1.612810-4 1.174898+0 1.343712-4 1.288250+0 1.127854-4 1.428894+0 9.334494-5 1.698244+0 6.868075-5 1.927525+0 5.522576-5 2.187762+0 4.475737-5 2.483133+0 3.653513-5 2.851018+0 2.949938-5 3.311311+0 2.358815-5 3.845918+0 1.900703-5 4.518559+0 1.517928-5 5.370318+0 1.202682-5 6.309573+0 9.749329-6 7.852356+0 7.399299-6 9.549926+0 5.827520-6 1.202264+1 4.437340-6 1.531087+1 3.361144-6 2.000000+1 2.492300-6 2.754229+1 1.757862-6 3.935501+1 1.201632-6 6.382635+1 7.248780-7 1.109175+2 4.109229-7 2.213095+2 2.038672-7 4.415704+2 1.016193-7 3.507519+3 1.273566-8 1.000000+5 4.46490-10 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.858000-5 2.858000-5 1.000000+5 2.858000-5 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.858000-5 0.0 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.420000-6 4.261959+6 6.025596-6 2.708890+6 6.606934-6 1.813109+6 7.200000-6 1.238292+6 7.852356-6 8.369455+5 8.511380-6 5.777459+5 9.332543-6 3.753455+5 1.023293-5 2.420513+5 1.202264-5 1.116919+5 1.273503-5 8.519377+4 1.336200-5 6.841133+4 1.380384-5 5.928221+4 1.428894-5 5.123601+4 1.462177-5 4.668744+4 1.500000-5 4.230920+4 1.531087-5 3.924644+4 1.570000-5 3.598660+4 1.611900-5 3.308483+4 1.650000-5 3.090060+4 1.690000-5 2.899620+4 1.730000-5 2.742660+4 1.770000-5 2.613800+4 1.815000-5 2.496900+4 1.862087-5 2.400917+4 1.905461-5 2.332165+4 1.950000-5 2.277800+4 2.000000-5 2.232880+4 2.065380-5 2.194696+4 2.137962-5 2.173158+4 2.213095-5 2.167734+4 2.300000-5 2.176340+4 2.426610-5 2.206487+4 3.000000-5 2.392940+4 3.235937-5 2.450200+4 3.467369-5 2.488268+4 3.715352-5 2.508774+4 3.935501-5 2.510760+4 4.220000-5 2.494540+4 4.518559-5 2.460707+4 4.841724-5 2.408603+4 5.188000-5 2.339426+4 5.559043-5 2.255133+4 6.025596-5 2.143511+4 6.531306-5 2.021066+4 7.079458-5 1.891592+4 7.852356-5 1.723160+4 8.709636-5 1.558118+4 1.011579-4 1.334597+4 1.230269-4 1.078172+4 1.625630-4 7.887360+3 1.862087-4 6.730003+3 2.041738-4 6.010913+3 2.290868-4 5.168223+3 2.630268-4 4.276392+3 3.845918-4 2.503890+3 4.786301-4 1.829850+3 5.623413-4 1.441255+3 7.498942-4 9.359666+2 8.709636-4 7.429084+2 1.096478-3 5.167315+2 1.348963-3 3.699080+2 1.603245-3 2.780996+2 2.264644-3 1.535463+2 2.786121-3 1.067611+2 3.235937-3 8.163601+1 3.935501-3 5.702582+1 4.786301-3 3.954081+1 5.956621-3 2.606370+1 7.244360-3 1.781943+1 8.810489-3 1.209287+1 1.071519-2 8.143786+0 1.288250-2 5.572394+0 1.548817-2 3.784287+0 1.862087-2 2.549813+0 2.213095-2 1.748199+0 2.630268-2 1.189961+0 3.126079-2 8.038898-1 3.715352-2 5.388395-1 4.415704-2 3.584402-1 5.188000-2 2.433055-1 6.165950-2 1.594288-1 7.413102-2 1.007926-1 8.709636-2 6.703343-2 1.071519-1 3.936141-2 1.396368-1 1.976168-2 2.483133-1 4.347501-3 3.054921-1 2.538562-3 3.589219-1 1.681341-3 4.120975-1 1.188945-3 4.731513-1 8.471814-4 5.370318-1 6.256047-4 6.025596-1 4.781927-4 6.760830-1 3.682746-4 7.585776-1 2.857421-4 8.511380-1 2.233938-4 9.440609-1 1.802689-4 1.059254+0 1.432250-4 1.216186+0 1.093931-4 1.364583+0 8.797871-5 1.531087+0 7.123513-5 1.717908+0 5.809762-5 1.949845+0 4.677282-5 2.213095+0 3.793127-5 2.511886+0 3.098213-5 2.884032+0 2.503292-5 3.349654+0 2.002944-5 3.890451+0 1.614848-5 4.570882+0 1.290319-5 5.370318+0 1.038614-5 6.309573+0 8.419486-6 7.852356+0 6.389866-6 9.549926+0 5.032430-6 1.202264+1 3.831969-6 1.531087+1 2.902576-6 2.000000+1 2.152300-6 2.754229+1 1.518048-6 3.935501+1 1.037643-6 6.382635+1 6.259847-7 1.122018+2 3.507192-7 2.238721+2 1.740178-7 4.466836+2 8.674676-8 3.548134+3 1.087203-8 1.000000+5 3.85580-10 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.420000-6 5.420000-6 1.000000+5 5.420000-6 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.420000-6 0.0 1.000000+5 1.000000+5 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.488620-7 1.026600+0 1.112040-6 1.027100+0 1.512950-6 1.027500+0 1.894950-6 1.028100+0 2.579940-6 1.028750+0 3.488620-6 1.029500+0 4.774270-6 1.030100+0 6.004220-6 1.031000+0 8.215820-6 1.032000+0 1.124130-5 1.033200+0 1.574720-5 1.034000+0 1.933110-5 1.035300+0 2.623920-5 1.036640+0 3.488620-5 1.038200+0 4.708000-5 1.039700+0 6.116640-5 1.041500+0 8.138120-5 1.043800+0 1.129600-4 1.046400+0 1.571620-4 1.048300+0 1.956710-4 1.051200+0 2.654240-4 1.054080+0 3.488620-4 1.057700+0 4.755230-4 1.061100+0 6.185370-4 1.065100+0 8.188790-4 1.070400+0 1.142430-3 1.076200+0 1.578840-3 1.080600+0 1.971710-3 1.087100+0 2.656530-3 1.093710+0 3.488620-3 1.102600+0 4.836710-3 1.110700+0 6.307680-3 1.120600+0 8.437140-3 1.133300+0 1.173020-2 1.147500+0 1.619490-2 1.158200+0 2.012610-2 1.174100+0 2.690150-2 1.190110+0 3.488620-2 1.205100+0 4.343980-2 1.227500+0 5.815580-2 1.250000+0 7.511000-2 1.265600+0 8.798860-2 1.294900+0 1.143670-1 1.331800+0 1.509910-1 1.362600+0 1.838810-1 1.397000+0 2.225640-1 1.433800+0 2.658310-1 1.500000+0 3.481000-1 1.562500+0 4.313640-1 1.617200+0 5.083620-1 1.712900+0 6.506230-1 1.838500+0 8.476030-1 1.946200+0 1.020690+0 2.000000+0 1.107000+0 2.044000+0 1.177000+0 2.163500+0 1.366070+0 2.372600+0 1.692170+0 2.647100+0 2.106660+0 3.000000+0 2.613000+0 3.500000+0 3.277760+0 4.000000+0 3.888000+0 4.750000+0 4.715810+0 5.000000+0 4.971000+0 6.000000+0 5.902000+0 7.000000+0 6.724000+0 8.000000+0 7.463000+0 9.000000+0 8.134000+0 1.000000+1 8.750000+0 1.100000+1 9.319000+0 1.200000+1 9.848000+0 1.300000+1 1.034000+1 1.400000+1 1.080000+1 1.500000+1 1.123000+1 1.600000+1 1.163000+1 1.800000+1 1.234000+1 2.000000+1 1.298000+1 2.200000+1 1.356000+1 2.400000+1 1.409000+1 2.600000+1 1.457000+1 2.800000+1 1.501000+1 3.000000+1 1.542000+1 4.000000+1 1.708000+1 5.000000+1 1.831000+1 6.000000+1 1.927000+1 8.000000+1 2.069000+1 1.000000+2 2.168000+1 1.500000+2 2.326000+1 2.000000+2 2.420000+1 3.000000+2 2.530000+1 4.000000+2 2.592000+1 5.000000+2 2.633000+1 6.000000+2 2.662000+1 8.000000+2 2.701000+1 1.000000+3 2.727000+1 1.500000+3 2.763000+1 2.000000+3 2.783000+1 3.000000+3 2.804000+1 4.000000+3 2.816000+1 5.000000+3 2.823000+1 6.000000+3 2.828000+1 8.000000+3 2.835000+1 1.000000+4 2.839000+1 1.500000+4 2.845000+1 2.000000+4 2.848000+1 3.000000+4 2.851000+1 4.000000+4 2.853000+1 5.000000+4 2.854000+1 6.000000+4 2.855000+1 8.000000+4 2.855000+1 1.000000+5 2.856000+1 1 67000 7 8 1.649300+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 6.712290-7 2.094700+0 1.181720-6 2.099900+0 1.572110-6 2.106600+0 2.186940-6 2.114000+0 3.025900-6 2.119500+0 3.767230-6 2.127900+0 5.109080-6 2.136250+0 6.712290-6 2.147000+0 9.203020-6 2.156900+0 1.195360-5 2.169000+0 1.595290-5 2.184500+0 2.217500-5 2.201800+0 3.067980-5 2.214800+0 3.822460-5 2.234200+0 5.141880-5 2.253680+0 6.712290-5 2.281500+0 9.401750-5 2.307000+0 1.234920-4 2.338200+0 1.660450-4 2.377400+0 2.299530-4 2.410200+0 2.924610-4 2.446800+0 3.720280-4 2.485900+0 4.684030-4 2.532900+0 5.994550-4 2.556430+0 6.712290-4 2.611900+0 8.558920-4 2.660400+0 1.034730-3 2.745300+0 1.384910-3 2.809000+0 1.677210-3 2.904500+0 2.160680-3 3.000000+0 2.697000-3 3.125000+0 3.477680-3 3.234400+0 4.231530-3 3.425800+0 5.698150-3 3.569300+0 6.909290-3 3.784700+0 8.881080-3 4.000000+0 1.100000-2 4.250000+0 1.358920-2 4.625000+0 1.765550-2 5.000000+0 2.188000-2 5.500000+0 2.767590-2 6.000000+0 3.355000-2 6.750000+0 4.229470-2 7.000000+0 4.517000-2 8.000000+0 5.640000-2 9.000000+0 6.713000-2 1.000000+1 7.731000-2 1.100000+1 8.694000-2 1.200000+1 9.600000-2 1.300000+1 1.045000-1 1.400000+1 1.126000-1 1.500000+1 1.203000-1 1.600000+1 1.276000-1 1.800000+1 1.410000-1 2.000000+1 1.533000-1 2.200000+1 1.644000-1 2.400000+1 1.747000-1 2.600000+1 1.841000-1 2.800000+1 1.929000-1 3.000000+1 2.010000-1 4.000000+1 2.345000-1 5.000000+1 2.597000-1 6.000000+1 2.796000-1 8.000000+1 3.094000-1 1.000000+2 3.310000-1 1.500000+2 3.665000-1 2.000000+2 3.885000-1 3.000000+2 4.153000-1 4.000000+2 4.314000-1 5.000000+2 4.423000-1 6.000000+2 4.503000-1 8.000000+2 4.613000-1 1.000000+3 4.686000-1 1.500000+3 4.795000-1 2.000000+3 4.857000-1 3.000000+3 4.924000-1 4.000000+3 4.964000-1 5.000000+3 4.989000-1 6.000000+3 5.006000-1 8.000000+3 5.029000-1 1.000000+4 5.043000-1 1.500000+4 5.063000-1 2.000000+4 5.074000-1 3.000000+4 5.085000-1 4.000000+4 5.092000-1 5.000000+4 5.096000-1 6.000000+4 5.099000-1 8.000000+4 5.102000-1 1.000000+5 5.104000-1 1 67000 7 8 1.649300+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 67000 7 9 1.649300+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 6.700000+1 1.000000+5 6.700000+1 5.000000+5 6.696600+1 7.500000+5 6.693910+1 9.375000+5 6.692430+1 1.000000+6 6.692000+1 1.250000+6 6.688960+1 1.500000+6 6.685600+1 1.875000+6 6.677660+1 2.000000+6 6.674600+1 2.375000+6 6.664490+1 2.500000+6 6.660800+1 2.875000+6 6.648700+1 3.000000+6 6.644300+1 3.437500+6 6.627330+1 3.812500+6 6.611770+1 4.000000+6 6.604300+1 4.437500+6 6.584990+1 4.812500+6 6.567090+1 5.000000+6 6.558400+1 5.500000+6 6.531970+1 5.875000+6 6.510980+1 6.437500+6 6.478360+1 6.500000+6 6.474500+1 7.000000+6 6.445000+1 7.500000+6 6.414570+1 8.250000+6 6.369120+1 9.000000+6 6.322500+1 1.000000+7 6.258800+1 1.250000+7 6.099900+1 1.500000+7 5.935700+1 1.750000+7 5.770700+1 2.000000+7 5.601200+1 2.250000+7 5.427080+1 2.500000+7 5.252500+1 2.875000+7 4.995280+1 3.000000+7 4.912000+1 3.437500+7 4.629150+1 3.500000+7 4.590470+1 3.812500+7 4.402600+1 4.000000+7 4.295700+1 4.500000+7 4.028260+1 5.000000+7 3.784200+1 5.500000+7 3.559670+1 5.750000+7 3.453480+1 6.000000+7 3.351400+1 6.500000+7 3.157030+1 7.000000+7 2.976800+1 7.750000+7 2.730900+1 8.000000+7 2.655700+1 9.000000+7 2.387100+1 1.000000+8 2.167400+1 1.125000+8 1.950890+1 1.187500+8 1.862450+1 1.250000+8 1.784600+1 1.437500+8 1.600040+1 1.500000+8 1.549300+1 1.625000+8 1.457160+1 1.671900+8 1.424190+1 1.789100+8 1.342630+1 1.812500+8 1.326220+1 1.894500+8 1.268100+1 1.973600+8 1.211030+1 2.000000+8 1.191800+1 2.062500+8 1.145820+1 2.250000+8 1.016690+1 2.335900+8 9.657120+0 2.445300+8 9.104130+0 2.500000+8 8.869500+0 2.781300+8 7.927780+0 2.859400+8 7.673970+0 2.953100+8 7.345410+0 3.000000+8 7.168900+0 3.062500+8 6.920540+0 3.335900+8 5.896010+0 3.418000+8 5.659200+0 3.500000+8 5.468400+0 3.589800+8 5.313340+0 3.712900+8 5.162220+0 4.000000+8 4.901300+0 4.125000+8 4.771320+0 4.234400+8 4.646040+0 4.425800+8 4.414750+0 4.712900+8 4.071560+0 4.750000+8 4.029800+0 5.000000+8 3.767000+0 5.500000+8 3.333420+0 5.750000+8 3.133580+0 5.937500+8 2.982990+0 6.000000+8 2.932300+0 6.250000+8 2.729330+0 6.625000+8 2.456780+0 6.812500+8 2.344710+0 7.000000+8 2.252000+0 7.234400+8 2.162240+0 7.753900+8 2.004490+0 8.000000+8 1.925900+0 8.125000+8 1.881810+0 1.000000+9 1.273800+0 1.031300+9 1.218290+0 1.060500+9 1.177610+0 1.100900+9 1.134440+0 1.137900+9 1.104610+0 1.183200+9 1.076810+0 1.278200+9 1.035500+0 1.352100+9 1.008240+0 1.426100+9 9.783170-1 1.481500+9 9.517410-1 1.500000+9 9.419500-1 1.560500+9 9.063050-1 1.615500+9 8.708700-1 1.686000+9 8.232480-1 1.764500+9 7.696670-1 1.823400+9 7.302760-1 1.911700+9 6.738270-1 2.000000+9 6.215200-1 2.139200+9 5.482220-1 2.272600+9 4.874070-1 2.443000+9 4.210590-1 2.602800+9 3.685220-1 2.825100+9 3.080530-1 2.961100+9 2.770230-1 3.215900+9 2.285650-1 3.438900+9 1.944940-1 3.500000+9 1.862630-1 3.634100+9 1.696850-1 3.975600+9 1.350210-1 4.231700+9 1.146630-1 4.615800+9 9.077880-2 5.000000+9 7.278500-2 5.539100+9 5.440980-2 5.990200+9 4.334020-2 6.708000+9 3.100680-2 8.000000+9 1.824700-2 1.00000+10 9.276900-3 1.27030+10 4.507440-3 1.70630+10 1.863530-3 2.16210+10 9.222750-4 2.93940+10 3.727740-4 3.82190+10 1.728120-4 4.95460+10 8.119370-5 6.75650+10 3.310520-5 1.00000+11 1.073700-5 1.34280+11 4.629940-6 2.20600+11 1.133230-6 4.19930+11 1.856200-7 1.03480+12 1.510660-8 3.24440+12 6.51260-10 1.00000+14 5.79100-14 2.05350+15 1.49271-17 1.00000+17 3.37850-22 1 67000 7 0 1.649300+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.01000-11 1.000000+2 1.010000-9 1.000000+3 1.010000-7 1.000000+4 1.010000-5 1.000000+5 1.010000-3 5.000000+5 2.525000-2 7.500000+5 5.681250-2 9.375000+5 8.876953-2 1.000000+6 1.010000-1 1.250000+6 1.567380-1 1.500000+6 2.236000-1 1.875000+6 3.438360-1 2.000000+6 3.889000-1 2.375000+6 5.374200-1 2.500000+6 5.911000-1 2.875000+6 7.629660-1 3.000000+6 8.236000-1 3.437500+6 1.046440+0 3.812500+6 1.248260+0 4.000000+6 1.352100+0 4.437500+6 1.599200+0 4.812500+6 1.814540+0 5.000000+6 1.923000+0 5.500000+6 2.211690+0 5.875000+6 2.427050+0 6.437500+6 2.746140+0 6.500000+6 2.781120+0 7.000000+6 3.058500+0 7.500000+6 3.329290+0 8.250000+6 3.725590+0 9.000000+6 4.112800+0 1.000000+7 4.621000+0 1.250000+7 5.893700+0 1.500000+7 7.204000+0 1.750000+7 8.528300+0 2.000000+7 9.830000+0 2.250000+7 1.109010+1 2.500000+7 1.230800+1 2.875000+7 1.406130+1 3.000000+7 1.462800+1 3.437500+7 1.653720+1 3.500000+7 1.679960+1 3.812500+7 1.807520+1 4.000000+7 1.881000+1 4.500000+7 2.064800+1 5.000000+7 2.233800+1 5.500000+7 2.390530+1 5.750000+7 2.465410+1 6.000000+7 2.538300+1 6.500000+7 2.678870+1 7.000000+7 2.813700+1 7.750000+7 3.005840+1 8.000000+7 3.067800+1 9.000000+7 3.303900+1 1.000000+8 3.524000+1 1.125000+8 3.779120+1 1.187500+8 3.898200+1 1.250000+8 4.012100+1 1.437500+8 4.319010+1 1.500000+8 4.410100+1 1.625000+8 4.575080+1 1.671900+8 4.631810+1 1.789100+8 4.763080+1 1.812500+8 4.787440+1 1.894500+8 4.868830+1 1.973600+8 4.941990+1 2.000000+8 4.965600+1 2.062500+8 5.018200+1 2.250000+8 5.161930+1 2.335900+8 5.220910+1 2.445300+8 5.290970+1 2.500000+8 5.324100+1 2.781300+8 5.477080+1 2.859400+8 5.515650+1 2.953100+8 5.559000+1 3.000000+8 5.580300+1 3.062500+8 5.607250+1 3.335900+8 5.716490+1 3.418000+8 5.746340+1 3.500000+8 5.775600+1 3.589800+8 5.805560+1 3.712900+8 5.845680+1 4.000000+8 5.931400+1 4.125000+8 5.965230+1 4.234400+8 5.994160+1 4.425800+8 6.041380+1 4.712900+8 6.105750+1 4.750000+8 6.113390+1 5.000000+8 6.163100+1 5.500000+8 6.247800+1 5.750000+8 6.283840+1 5.937500+8 6.308750+1 6.000000+8 6.316600+1 6.250000+8 6.345510+1 6.625000+8 6.383210+1 6.812500+8 6.399350+1 7.000000+8 6.415100+1 7.234400+8 6.432010+1 7.753900+8 6.464890+1 8.000000+8 6.478900+1 8.125000+8 6.484960+1 1.000000+9 6.555000+1 1.031300+9 6.563250+1 1.060500+9 6.570740+1 1.100900+9 6.580780+1 1.137900+9 6.589310+1 1.183200+9 6.598590+1 1.278200+9 6.615550+1 1.352100+9 6.627280+1 1.426100+9 6.636870+1 1.481500+9 6.643600+1 1.500000+9 6.645800+1 1.560500+9 6.651400+1 1.615500+9 6.656320+1 1.686000+9 6.662380+1 1.764500+9 6.667830+1 1.823400+9 6.671220+1 1.911700+9 6.676120+1 2.000000+9 6.680800+1 2.139200+9 6.685880+1 2.272600+9 6.689560+1 2.443000+9 6.693330+1 2.602800+9 6.696100+1 2.825100+9 6.698610+1 2.961100+9 6.699370+1 3.215900+9 6.700450+1 3.438900+9 6.701070+1 3.500000+9 6.701020+1 3.634100+9 6.700900+1 3.975600+9 6.700620+1 4.231700+9 6.700420+1 4.615800+9 6.700150+1 5.000000+9 6.699900+1 5.539100+9 6.699920+1 5.990200+9 6.699940+1 6.708000+9 6.699960+1 8.000000+9 6.700000+1 1.00000+10 6.700000+1 1.27030+10 6.700000+1 1.70630+10 6.700000+1 2.16210+10 6.700000+1 2.93940+10 6.700000+1 3.82190+10 6.700000+1 4.95460+10 6.700000+1 6.75650+10 6.700000+1 1.00000+11 6.700000+1 1.34280+11 6.700000+1 2.20600+11 6.700000+1 4.19930+11 6.700000+1 1.03480+12 6.700000+1 3.24440+12 6.700000+1 1.00000+14 6.700000+1 2.05350+15 6.700000+1 1.00000+17 6.700000+1 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.065514-6 0.0 1.068136-6 5.839589-7 1.070759-6 1.155494-6 1.073382-6 2.110604-6 1.076004-6 3.558768-6 1.078627-6 5.539192-6 1.081249-6 7.958792-6 1.083872-6 1.055606-5 1.086495-6 1.292439-5 1.089117-6 1.460739-5 1.091740-6 1.524014-5 1.094363-6 1.467774-5 1.096985-6 1.304918-5 1.099608-6 1.070931-5 1.104853-6 5.673875-6 1.107476-6 3.662856-6 1.110098-6 2.182800-6 1.112721-6 1.200776-6 1.115344-6 6.097675-7 1.117966-6 0.0 1.958826-6 0.0 1.963647-6 3.209660-7 1.968469-6 6.351033-7 1.973290-6 1.160068-6 1.978112-6 1.956034-6 1.982933-6 3.044551-6 1.987754-6 4.374455-6 1.992576-6 5.802011-6 1.997397-6 7.103739-6 2.002219-6 8.028777-6 2.007040-6 8.376561-6 2.011861-6 8.067444-6 2.016683-6 7.172329-6 2.021504-6 5.886245-6 2.031147-6 3.118578-6 2.035968-6 2.013245-6 2.040790-6 1.199750-6 2.045611-6 6.599924-7 2.050433-6 3.351514-7 2.055254-6 0.0 2.227054-6 0.0 2.232536-6 8.298813-7 2.238017-6 1.642106-6 2.243499-6 2.999441-6 2.248980-6 5.057470-6 2.254462-6 7.871910-6 2.259944-6 1.131048-5 2.265425-6 1.500153-5 2.270907-6 1.836724-5 2.276388-6 2.075899-5 2.281870-6 2.165821-5 2.287352-6 2.085897-5 2.292833-6 1.854458-5 2.298315-6 1.521932-5 2.309278-6 8.063312-6 2.314760-6 5.205394-6 2.320241-6 3.102042-6 2.325723-6 1.706459-6 2.331204-6 8.665587-7 2.336686-6 0.0 2.366433-6 0.0 2.375170-6 3.052161+0 2.378083-6 4.056643+0 2.383907-6 7.409790+0 2.389732-6 1.249392+1 2.396285-6 2.050627+1 2.406387-6 3.577471+1 2.413759-6 4.611129+1 2.419390-6 5.148631+1 2.425297-6 5.329544+1 2.431298-6 5.075307+1 2.437525-6 4.412893+1 2.447352-6 2.946686+1 2.453803-6 1.991953+1 2.459992-6 1.253532+1 2.465453-6 7.663254+0 2.471277-6 4.215619+0 2.479650-6 1.205404+0 2.482927-6 0.0 2.543593-6 0.0 2.554549-6 7.288677+0 2.556114-6 8.319292+0 2.562375-6 1.519587+1 2.569027-6 2.651146+1 2.575679-6 4.205390+1 2.586840-6 7.427175+1 2.594070-6 9.380835+1 2.600953-6 1.059059+2 2.606652-6 1.094336+2 2.613035-6 1.046024+2 2.619846-6 9.093005+1 2.629702-6 6.302152+1 2.637504-6 4.085061+1 2.643764-6 2.637173+1 2.650025-6 1.571567+1 2.656286-6 8.645317+0 2.665677-6 2.197675+0 2.668807-6 0.0 3.392566-6 0.0 3.400917-6 4.59838-15 3.409267-6 9.09892-15 3.417617-6 1.66199-14 3.425968-6 2.80235-14 3.434318-6 4.36183-14 3.442669-6 6.26714-14 3.451019-6 8.31235-14 3.459369-6 1.01773-13 3.467720-6 1.15026-13 3.476070-6 1.20008-13 3.484420-6 1.15580-13 3.492771-6 1.02756-13 3.501121-6 8.43303-14 3.517822-6 4.46788-14 3.526172-6 2.88431-14 3.534523-6 1.71884-14 3.542873-6 9.45550-15 3.551223-6 4.80161-15 3.559574-6 0.0 3.959180-6 0.0 3.976234-6 1.070523-1 3.978670-6 1.221894-1 3.988415-6 2.231889-1 3.998160-6 3.763276-1 4.007905-6 5.857530-1 4.013499-6 7.380124-1 4.034882-6 1.833633+0 4.044462-6 2.434644+0 4.056116-6 3.274239+0 4.086158-6 5.696534+0 4.100441-6 6.447739+0 4.112667-6 6.517141+0 4.122682-6 6.078779+0 4.135281-6 5.002995+0 4.158001-6 2.606459+0 4.161441-6 2.266596+0 4.171319-6 1.463235+0 4.181197-6 8.719836-1 4.191075-6 4.796844-1 4.203988-6 1.688894-1 4.210832-6 1.024131-6 4.213873-6 0.0 4.463204-6 0.0 4.463223-6 1.02706-14 4.474209-6 1.35280-11 4.485195-6 2.67651-11 4.496180-6 4.88835-11 4.507166-6 8.24161-11 4.518152-6 1.28268-10 4.527423-6 1.75522-10 4.549711-6 2.696377-2 4.550983-6 2.950390-2 4.560854-6 1.046115-1 4.573387-6 2.131385-1 4.584588-6 3.637029-1 4.595790-6 5.768592-1 4.609792-6 9.284382-1 4.629395-6 1.479064+0 4.640597-6 1.744435+0 4.651798-6 1.908358+0 4.664400-6 1.920975+0 4.675602-6 1.789692+0 4.685403-6 1.583563+0 4.715467-6 7.501229-1 4.719008-6 6.571280-1 4.730210-6 4.194777-1 4.741412-6 2.462512-1 4.750297-6 1.511170-1 4.752613-6 1.292209-1 4.771500-6 2.063463-2 4.775017-6 5.320593-7 4.779195-6 1.26731-11 4.785500-6 1.72770-11 4.796227-6 3.03356-11 4.808573-6 5.482416-3 4.820664-6 3.820333-2 4.832385-6 7.305085-2 4.844106-6 1.294698-1 4.855916-6 2.134591-1 4.867752-6 3.257621-1 4.897341-6 6.602663-1 4.903259-6 7.216679-1 4.915094-6 8.034614-1 4.926930-6 8.265967-1 4.938766-6 7.857768-1 4.951944-6 6.769881-1 4.976321-6 4.329982-1 4.986108-6 3.490176-1 4.997944-6 2.828824-1 5.009780-6 2.593564-1 5.021616-6 2.736802-1 5.045287-6 3.554489-1 5.054219-6 4.032834-1 5.061641-6 4.355347-1 5.073830-6 4.649045-1 5.086019-6 4.682269-1 5.135711-6 3.847866-1 5.185667-6 3.833664-1 5.279125-6 3.601806-1 5.363749-6 3.175420-1 5.402109-6 3.153516-1 5.452994-6 3.216738-1 5.936244-6 2.454383-1 6.355644-6 1.954833-1 6.387084-6 1.053781+0 6.402575-6 1.751730+0 6.419196-6 2.912467+0 6.434840-6 4.395984+0 6.463886-6 7.836746+0 6.481282-6 9.781037+0 6.498855-6 1.105756+1 6.513738-6 1.140794+1 6.529160-6 1.092424+1 6.546178-6 9.518158+0 6.571032-6 6.622719+0 6.590943-6 4.308298+0 6.606930-6 2.811660+0 6.621585-6 1.784675+0 6.637229-6 1.057019+0 6.665110-6 2.649222-1 6.668516-6 1.662440-1 7.152930-6 1.306114-1 7.188692-6 7.995613-1 7.206298-6 1.348048+0 7.223904-6 2.176428+0 7.242060-6 3.347260+0 7.294188-6 7.462851+0 7.313250-6 8.430531+0 7.330606-6 8.720789+0 7.347696-6 8.373011+0 7.366403-6 7.341978+0 7.394462-6 5.124749+0 7.417020-6 3.327990+0 7.434626-6 2.204915+0 7.452232-6 1.387295+0 7.469838-6 8.614247-1 7.499636-6 3.772639-1 7.505050-6 2.933133-1 7.517055-6 3.472454-1 7.567288-6 6.068675-1 7.585554-6 6.710295-1 7.603820-6 6.945899-1 7.622086-6 6.719471-1 7.640352-6 6.080877-1 7.695151-6 3.204197-1 7.713417-6 2.418313-1 7.731684-6 1.837695-1 7.749950-6 1.449789-1 7.786482-6 9.696746-2 8.144757-6 8.253251-2 8.184872-6 1.325266-1 8.204899-6 1.742445-1 8.224946-6 2.379314-1 8.247026-6 3.361364-1 8.304862-6 6.503240-1 8.326654-6 7.279481-1 8.346561-6 7.517067-1 8.366468-6 7.233976-1 8.386375-6 6.491987-1 8.442461-6 3.411768-1 8.466003-6 2.331013-1 8.485910-6 1.675074-1 8.505608-6 1.240070-1 8.545703-6 6.941292-2 8.683555-6 6.544394-2 8.726302-6 8.319859-2 8.747676-6 9.828604-2 8.769049-6 1.214759-1 8.790423-6 1.533952-1 8.854543-6 2.728540-1 8.875917-6 2.999289-1 8.897290-6 3.097808-1 8.918663-6 3.000358-1 8.940037-6 2.728675-1 9.005762-6 1.648814-1 9.027766-6 1.430248-1 9.046904-6 1.347420-1 9.068278-6 1.366476-1 9.111025-6 1.584578-1 9.137786-6 1.795811-1 9.159790-6 1.895910-1 9.193977-6 1.939839-1 9.238686-6 2.180382-1 9.261041-6 2.418681-1 9.283395-6 2.816165-1 9.308807-6 3.469090-1 9.372522-6 5.472023-1 9.399412-6 5.996511-1 9.420164-6 6.131616-1 9.443953-6 5.908373-1 9.469870-6 5.292220-1 9.534051-6 3.155810-1 9.556491-6 2.538760-1 9.578092-6 2.070359-1 9.600343-6 1.716600-1 9.643550-6 1.241892-1 9.674589-6 1.173108-1 9.709252-6 1.179822-1 9.741559-6 1.239076-1 9.789038-6 1.499427-1 9.817694-6 1.711211-1 9.836991-6 1.879560-1 9.879350-6 2.360821-1 9.932897-6 2.990732-1 9.957314-6 3.179970-1 9.981039-6 3.247070-1 1.000555-5 3.184641-1 1.003005-5 3.026599-1 1.007911-5 2.549885-1 1.010374-5 2.356264-1 1.012471-5 2.249257-1 1.014893-5 2.210314-1 1.025150-5 2.472301-1 1.027613-5 2.502955-1 1.039696-5 2.406081-1 1.056322-5 2.343377-1 1.073249-5 2.091996-1 1.080300-5 2.084337-1 1.097230-5 2.259747-1 1.258925-5 2.122405-1 1.403571-5 2.166317-1 1.557892-5 2.363872-1 1.753745-5 2.806794-1 1.958720-5 3.491646-1 2.196641-5 4.573959-1 2.456184-5 6.103769-1 2.468275-5 2.470570+0 2.474321-5 4.005502+0 2.480366-5 6.330700+0 2.483014-5 7.720545+0 2.488946-5 1.885034+1 2.495237-5 3.108074+1 2.501349-5 4.816117+1 2.507460-5 7.124663+1 2.517192-5 1.196745+2 2.529368-5 1.838188+2 2.537429-5 2.132167+2 2.544749-5 2.184795+2 2.550803-5 2.060811+2 2.557204-5 1.785372+2 2.574688-5 7.854954+1 2.580800-5 5.070730+1 2.586911-5 3.050424+1 2.593023-5 1.710097+1 2.605246-5 8.234896-1 2.612362-5 9.614621-1 2.618761-5 1.165075+0 2.625159-5 1.471311+0 2.632266-5 1.944483+0 2.650753-5 3.439895+0 2.657152-5 3.795012+0 2.661920-5 3.910240+0 2.663550-5 4.081006+0 2.670110-5 4.506730+0 2.675834-5 4.727904+0 2.681576-5 5.103571+0 2.688910-5 6.090566+0 2.696548-5 7.844289+0 2.715804-5 1.377564+1 2.721686-5 1.523548+1 2.728591-5 1.590065+1 2.736085-5 1.553769+1 2.748704-5 1.329525+1 2.758202-5 1.138489+1 2.768083-5 1.025246+1 2.777513-5 1.000673+1 2.811206-5 1.004516+1 2.856213-5 9.182620+0 2.965783-5 7.990353+0 2.978918-5 7.865233+0 2.993582-5 1.660495+1 3.001373-5 2.456139+1 3.008705-5 3.586811+1 3.016351-5 5.206576+1 3.037805-5 1.069742+2 3.046153-5 1.202280+2 3.053185-5 1.236475+2 3.060503-5 1.182571+2 3.068434-5 1.034469+2 3.089722-5 4.885718+1 3.096233-5 3.510701+1 3.103566-5 2.370313+1 3.110898-5 1.612090+1 3.125562-5 6.838617+0 3.153460-5 6.936465+0 3.182663-5 7.443457+0 3.206825-5 8.360884+0 3.219030-5 9.142132+0 3.251272-5 1.225288+1 3.262526-5 1.280036+1 3.274304-5 1.255747+1 3.300914-5 1.109087+1 3.321233-5 1.065227+1 3.400282-5 1.018306+1 3.464661-5 9.444447+0 3.660300-5 8.319097+0 3.944653-5 7.325815+0 4.237711-5 6.733319+0 4.680760-5 6.291811+0 5.119617-5 6.208569+0 5.242938-5 6.329149+0 5.411202-5 6.314678+0 6.256947-5 6.891063+0 9.892933-5 1.072475+1 1.284547-4 1.312577+1 1.520529-4 1.445789+1 1.527454-4 1.481596+1 1.534973-4 2.120145+1 1.538733-4 2.638493+1 1.542753-4 3.470945+1 1.547130-4 4.698980+1 1.556682-4 7.748125+1 1.560284-4 8.564742+1 1.562592-4 8.875085+1 1.565708-4 8.988803+1 1.569618-4 8.534089+1 1.573650-4 7.529791+1 1.583997-4 4.177833+1 1.588065-4 3.146771+1 1.590404-4 2.694883+1 1.591693-4 2.532467+1 1.595515-4 2.265532+1 1.598544-4 2.199319+1 1.602148-4 2.221552+1 1.603512-4 2.355657+1 1.606766-4 2.802299+1 1.610863-4 3.554883+1 1.622620-4 6.041716+1 1.627052-4 6.568120+1 1.630505-4 6.677776+1 1.634843-4 6.346438+1 1.639374-4 5.584620+1 1.649546-4 3.428170+1 1.653328-4 2.781773+1 1.657130-4 2.302242+1 1.661016-4 1.978247+1 1.668722-4 1.586101+1 1.716575-4 1.722942+1 1.825500-4 1.842598+1 1.927525-4 1.835565+1 2.237500-4 1.658956+1 2.591301-4 1.581362+1 2.939354-4 1.571408+1 3.001221-4 1.721445+1 3.061078-4 1.676430+1 3.382109-4 1.678454+1 3.543031-4 1.687316+1 4.135748-4 1.652468+1 4.227266-4 1.686349+1 8.748000-4 1.139575+1 1.130217-3 9.144973+0 1.313100-3 7.933485+0 1.319600-3 9.991318+0 1.322848-3 1.172980+1 1.326096-3 1.438440+1 1.329521-3 1.828391+1 1.338735-3 3.174789+1 1.342515-3 3.606242+1 1.345763-3 3.809608+1 1.349031-3 3.830556+1 1.355408-3 3.536261+1 1.361830-3 3.201546+1 1.364977-3 3.167023+1 1.368260-3 3.259189+1 1.381704-3 4.218348+1 1.385016-3 4.339774+1 1.388469-3 4.332105+1 1.393714-3 4.107767+1 1.404682-3 3.518669+1 1.411240-3 3.355627+1 1.417790-3 3.281372+1 1.485637-3 3.382883+1 1.565222-3 3.226879+1 1.692274-3 2.901896+1 1.710561-3 3.001599+1 1.731577-3 3.215586+1 1.880087-3 2.910057+1 1.917308-3 2.991316+1 2.083262-3 2.702360+1 2.134516-3 2.708180+1 2.492980-3 2.210101+1 2.904246-3 1.793381+1 3.311311-3 1.486223+1 3.769207-3 1.230953+1 4.245644-3 1.030537+1 4.855024-3 8.411228+0 5.530444-3 6.879755+0 6.277114-3 5.643567+0 7.195816-3 4.544869+0 7.866672-3 3.952506+0 7.923346-3 4.117851+0 7.955738-3 4.467486+0 7.985323-3 5.067001+0 8.017408-3 6.048940+0 8.081159-3 8.355094+0 8.124095-3 9.418623+0 8.166454-3 9.887984+0 8.286353-3 9.888662+0 8.768084-3 9.122288+0 8.842005-3 9.491179+0 8.975501-3 1.132131+1 9.057978-3 1.168470+1 9.263055-3 1.155755+1 9.442832-3 1.248504+1 9.656710-3 1.229332+1 1.114635-2 9.831938+0 1.289409-2 7.785416+0 1.470673-2 6.282499+0 1.683338-2 5.022348+0 1.902448-2 4.091904+0 2.104435-2 3.445825+0 2.358790-2 2.834071+0 2.620536-2 2.362658+0 2.965018-2 1.905018+0 3.323294-2 1.559050+0 3.760741-2 1.252664+0 4.188199-2 1.034270+0 4.733534-2 8.305454-1 5.364461-2 6.633608-1 5.445483-2 6.550562-1 5.471264-2 6.856819-1 5.489460-2 7.502978-1 5.503362-2 8.419878-1 5.519320-2 1.008641+0 5.536269-2 1.266155+0 5.558023-2 1.699801+0 5.593333-2 2.461142+0 5.618380-2 2.865691+0 5.648362-2 3.121853+0 5.685037-2 3.204837+0 6.717609-2 2.469942+0 7.702354-2 1.974175+0 8.755191-2 1.590194+0 9.894152-2 1.290442+0 1.118762-1 1.043138+0 1.232005-1 8.815705-1 1.380384-1 7.224330-1 1.541036-1 5.953429-1 1.720049-1 4.906364-1 1.905584-1 4.099653-1 2.133519-1 3.362212-1 2.380563-1 2.781839-1 2.675409-1 2.276099-1 3.000000-1 1.877417-1 3.353875-1 1.562461-1 3.738314-1 1.312625-1 4.225328-1 1.084564-1 4.740032-1 9.126394-2 5.293586-1 7.785214-2 6.058202-1 6.471969-2 6.876125-1 5.492073-2 7.874990-1 4.656742-2 9.065460-1 3.970244-2 1.120601+0 3.168018-2 1.347258+0 2.582456-2 1.619761+0 2.105127-2 1.947381+0 1.716025-2 2.235892+0 1.472169-2 2.688134+0 1.200060-2 3.231848+0 9.782468-3 3.885536+0 7.974322-3 4.671441+0 6.500386-3 5.616308+0 5.298885-3 6.752287+0 4.319464-3 8.118035+0 3.521075-3 9.760024+0 2.870256-3 1.000000+1 5.903702-3 1 67000 7 0 1.649300+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-6.657934+1 1.907463-6-6.405300+1 2.176455-6-6.048363+1 2.287352-6-5.595696+1 2.331204-6-5.165315+1 2.354990-6-4.688824+1 2.365981-6-4.243344+1 2.390460-6-2.857392+1 2.397559-6-2.664183+1 2.402837-6-2.750837+1 2.407206-6-3.020497+1 2.411802-6-3.492871+1 2.418616-6-4.562757+1 2.429798-6-6.690104+1 2.432702-6-6.139896+1 2.439496-6-5.182624+1 2.445470-6-4.701598+1 2.451346-6-4.570378+1 2.459628-6-4.828735+1 2.489284-6-6.696229+1 2.529072-6-4.975044+1 2.540002-6-4.241928+1 2.543593-6-3.843984+1 2.547928-6-3.359994+1 2.555332-6-2.656725+1 2.564234-6-1.630223+1 2.568085-6-1.275348+1 2.569027-6-1.160457+1 2.571045-6-1.006542+1 2.575679-6-7.767159+0 2.577048-6-7.589562+0 2.578076-6-7.675058+0 2.579616-6-8.072694+0 2.581940-6-9.094900+0 2.583309-6-1.015222+1 2.585107-6-1.204921+1 2.586840-6-1.446085+1 2.590157-6-2.055685+1 2.592688-6-2.630842+1 2.599011-6-4.543249+1 2.603940-6-6.365245+1 2.604924-6-6.682109+1 2.606652-6-5.933260+1 2.614368-6-3.075471+1 2.619113-6-1.625688+1 2.619846-6-1.421097+1 2.621130-6-1.106518+1 2.622093-6-8.943967+0 2.623538-6-6.040707+0 2.624982-6-3.313117+0 2.625765-6-1.928763+0 2.627134-6 7.900706-2 2.628161-6 1.346064+0 2.629702-6 2.895652+0 2.630473-6 3.506758+0 2.631243-6 3.966949+0 2.632808-6 4.709333+0 2.633982-6 5.125432+0 2.635743-6 5.390484+0 2.636623-6 5.312937+0 2.640634-6 3.637538+0 2.642199-6 2.781685+0 2.642982-6 2.205559+0 2.643764-6 1.381347+0 2.644547-6 5.187662-1 2.647286-6-1.827592+0 2.648656-6-3.095809+0 2.649340-6-3.821149+0 2.650025-6-4.728985+0 2.658438-6-1.396166+1 2.667242-6-2.197615+1 2.670220-6-2.582964+1 2.675847-6-3.041632+1 2.684213-6-3.496420+1 2.697941-6-3.995599+1 2.724654-6-4.580059+1 2.765313-6-5.068663+1 2.848204-6-5.552969+1 3.021438-6-5.954467+1 3.559574-6-6.313720+1 3.976234-6-6.570685+1 4.045863-6-6.677043+1 4.083900-6-6.621888+1 4.143490-6-5.999978+1 4.203988-6-6.137636+1 4.368818-6-6.353931+1 4.640597-6-6.475080+1 4.727410-6-6.317344+1 4.915094-6-6.441436+1 6.207283-6-6.632476+1 6.327150-6-6.648492+1 6.445896-6-6.255967+1 6.481282-6-6.481209+1 6.500445-6-6.677593+1 6.555402-6-5.929938+1 6.590943-6-5.818695+1 6.729662-6-6.273950+1 7.156599-6-6.697640+1 7.265114-6-6.516442+1 7.305121-6-6.667435+1 7.381808-6-5.969794+1 7.439028-6-5.955894+1 7.567288-6-6.257372+1 8.346561-6-6.424354+1 1.641985-5-6.758282+1 2.056614-5-6.356602+1 2.235366-5-5.837994+1 2.319340-5-5.305806+1 2.371374-5-4.707460+1 2.405174-5-4.061797+1 2.428510-5-3.364502+1 2.443095-5-2.725749+1 2.452369-5-2.168974+1 2.456184-5-1.870718+1 2.463513-5-1.233400+1 2.465894-5-1.005181+1 2.468275-5-7.504048+0 2.471298-5-3.985194+0 2.472810-5-2.109196+0 2.474321-5-5.272459-2 2.477344-5 4.377006+0 2.478855-5 6.809349+0 2.480366-5 9.564222+0 2.482352-5 1.382371+1 2.483493-5 1.717652+1 2.485590-5 2.171574+1 2.488946-5 2.767754+1 2.494451-5 3.669992+1 2.496001-5 4.002216+1 2.503450-5 5.230410+1 2.508361-5 5.802560+1 2.511119-5 5.895704+1 2.515648-5 5.719780+1 2.518635-5 5.331259+1 2.521967-5 4.624063+1 2.524926-5 3.746814+1 2.526591-5 3.130468+1 2.528196-5 2.417925+1 2.529368-5 1.771672+1 2.531597-5 6.063878+0 2.532712-5-1.535858-1 2.533269-5-3.471899+0 2.533548-5-5.219337+0 2.533826-5-7.110921+0 2.536839-5-2.696589+1 2.537945-5-3.545316+1 2.539008-5-4.416476+1 2.542726-5-7.061083+1 2.544749-5-5.369469+1 2.550242-5-1.436406+1 2.550433-5-1.269269+1 2.550803-5-9.901285+0 2.551496-5-5.164413+0 2.552104-5-1.309080+0 2.553166-5 5.037285+0 2.555955-5 2.070355+1 2.556640-5 2.502833+1 2.558297-5 3.325403+1 2.560281-5 4.114727+1 2.562870-5 4.932601+1 2.566771-5 5.796623+1 2.570791-5 6.255339+1 2.573957-5 6.256261+1 2.580036-5 5.507314+1 2.586243-5 4.244613+1 2.593787-5 2.485253+1 2.595219-5 2.184550+1 2.602740-5 7.791152+0 2.603993-5 5.114307+0 2.604620-5 3.606784+0 2.604933-5 2.763377+0 2.605246-5 1.734915+0 2.605691-5 3.466898-1 2.606525-5-1.660069+0 2.607984-5-4.590032+0 2.609079-5-6.519683+0 2.610720-5-9.132360+0 2.613962-5-1.361562+1 2.618761-5-1.911888+1 2.625159-5-2.509959+1 2.635288-5-3.245699+1 2.648016-5-3.914923+1 2.675834-5-4.935884+1 2.700946-5-5.723813+1 2.715804-5-5.805250+1 2.743680-5-5.322094+1 2.758202-5-5.366945+1 2.795955-5-5.848632+1 2.882542-5-6.594726+1 2.928810-5-7.292215+1 2.959003-5-6.237007+1 2.973052-5-5.453607+1 2.978918-5-4.903700+1 2.986250-5-4.199169+1 2.993582-5-3.526895+1 3.002232-5-2.613567+1 3.009564-5-1.953982+1 3.016351-5-1.597720+1 3.019065-5-1.579244+1 3.022113-5-1.676959+1 3.024659-5-1.838113+1 3.027932-5-2.155067+1 3.031115-5-2.574480+1 3.035016-5-3.250969+1 3.037320-5-3.788303+1 3.044276-5-5.751123+1 3.047561-5-6.893469+1 3.048158-5-6.978992+1 3.052256-5-5.566920+1 3.054377-5-4.764095+1 3.059562-5-3.063412+1 3.060503-5-2.697250+1 3.062095-5-2.199662+1 3.067293-5-7.723845+0 3.067681-5-6.539937+0 3.068434-5-4.608146+0 3.069845-5-1.466852+0 3.071079-5 9.484426-1 3.072159-5 2.861080+0 3.074049-5 5.821589+0 3.075467-5 7.752545+0 3.077594-5 1.022147+1 3.079720-5 1.218509+1 3.082220-5 1.391867+1 3.085502-5 1.528188+1 3.087612-5 1.552043+1 3.089722-5 1.496951+1 3.094605-5 1.263324+1 3.096233-5 1.124549+1 3.097150-5 1.031640+1 3.101962-5 6.421183+0 3.102764-5 5.641464+0 3.103566-5 4.667257+0 3.110898-5-2.697932+0 3.112322-5-4.251320+0 3.122289-5-1.265097+1 3.125153-5-1.557905+1 3.126673-5-1.761007+1 3.130449-5-2.090014+1 3.138021-5-2.556309+1 3.149402-5-3.057491+1 3.166426-5-3.582951+1 3.192483-5-4.132933+1 3.227609-5-4.624380+1 3.251272-5-4.695119+1 3.288974-5-4.562516+1 3.386893-5-4.822545+1 3.780000-5-5.194933+1 5.021015-5-5.557285+1 7.811298-5-5.748498+1 1.306534-4-5.768862+1 1.421808-4-6.045583+1 1.442818-4-6.081908+1 1.487565-4-5.541251+1 1.507929-4-5.021590+1 1.518663-4-4.520062+1 1.525659-4-3.974381+1 1.530632-4-3.337500+1 1.534973-4-2.841126+1 1.539203-4-2.289695+1 1.543242-4-1.855583+1 1.546663-4-1.699449+1 1.548005-4-1.691222+1 1.550027-4-1.800559+1 1.551822-4-1.991458+1 1.553697-4-2.294594+1 1.556682-4-3.002709+1 1.560284-4-4.216635+1 1.564845-4-6.040489+1 1.565708-4-5.616447+1 1.570363-4-3.775881+1 1.573650-4-2.758479+1 1.575472-4-2.372400+1 1.577878-4-2.033845+1 1.579898-4-1.873257+1 1.581691-4-1.823632+1 1.583565-4-1.883725+1 1.587264-4-2.288112+1 1.590404-4-2.857737+1 1.591693-4-3.153085+1 1.602148-4-5.124199+1 1.605099-4-5.707097+1 1.607475-4-6.058040+1 1.611743-4-5.689213+1 1.616258-4-5.737262+1 1.620095-4-6.031032+1 1.622620-4-5.593832+1 1.626375-4-4.739503+1 1.630265-4-3.702116+1 1.634843-4-2.503397+1 1.638592-4-1.726069+1 1.640059-4-1.496226+1 1.642164-4-1.260170+1 1.643503-4-1.152911+1 1.644851-4-1.077262+1 1.646905-4-1.014773+1 1.648886-4-1.019403+1 1.652383-4-1.182005+1 1.657130-4-1.572254+1 1.661962-4-2.013676+1 1.668125-4-2.496380+1 1.670288-4-2.709914+1 1.675373-4-3.011738+1 1.684701-4-3.361645+1 1.701342-4-3.717743+1 1.730891-4-4.000758+1 1.786979-4-4.225806+1 1.927525-4-4.229161+1 2.772123-4-4.078420+1 2.987308-4-4.131620+1 3.061078-4-4.001716+1 4.135748-4-3.592373+1 5.308844-4-3.213787+1 6.925676-4-2.966490+1 8.748000-4-2.906647+1 1.039005-3-3.025115+1 1.167112-3-3.289626+1 1.244675-3-3.614587+1 1.296884-3-4.033505+1 1.322848-3-4.439896+1 1.341688-3-5.056707+1 1.353980-3-5.421304+1 1.364977-3-5.354001+1 1.385016-3-5.058907+1 1.401875-3-4.843114+1 1.426839-3-4.214859+1 1.467898-3-3.615132+1 1.530093-3-2.985688+1 1.583679-3-2.645561+1 1.648482-3-2.416727+1 1.692274-3-2.377132+1 1.727171-3-2.463393+1 1.742252-3-2.372481+1 1.778851-3-2.093595+1 1.830704-3-1.898355+1 1.880087-3-1.807560+1 1.909728-3-1.791150+1 1.977700-3-1.540708+1 2.050766-3-1.397489+1 2.106735-3-1.350472+1 2.172219-3-1.175666+1 2.278306-3-1.003505+1 2.432867-3-8.335915+0 2.623837-3-6.918689+0 2.845510-3-5.824519+0 3.068073-3-5.088324+0 3.311311-3-4.592065+0 3.665301-3-4.208822+0 4.081633-3-4.057441+0 4.642981-3-4.169658+0 5.295491-3-4.546941+0 6.036984-3-5.231292+0 6.709942-3-6.144966+0 7.195816-3-7.146268+0 7.535780-3-8.249450+0 7.744234-3-9.365025+0 7.866672-3-1.050162+1 7.945273-3-1.185077+1 8.029662-3-1.361155+1 8.066384-3-1.381924+1 8.109986-3-1.334818+1 8.229398-3-1.094271+1 8.321301-3-9.949393+0 8.474204-3-9.162502+0 8.645954-3-8.903105+0 8.768084-3-9.202365+0 8.909660-3-1.010019+1 8.975501-3-9.816660+0 9.122559-3-8.351993+0 9.225020-3-7.967154+0 9.356517-3-7.793441+0 9.442832-3-7.170668+0 9.558765-3-6.206477+0 9.727215-3-5.315293+0 9.961044-3-4.466158+0 1.025563-2-3.685036+0 1.063945-2-2.933847+0 1.107113-2-2.315302+0 1.152602-2-1.825144+0 1.196766-2-1.454084+0 1.248512-2-1.128833+0 1.302421-2-8.739952-1 1.335999-2-7.472577-1 1.394177-2-5.770279-1 1.437462-2-4.795093-1 1.487560-2-3.908223-1 1.531730-2-3.262310-1 1.581043-2-2.723612-1 1.628934-2-2.363800-1 1.693149-2-2.049804-1 1.762991-2-1.854492-1 1.812778-2-1.799562-1 1.933081-2-1.868483-1 2.037335-2-2.121734-1 2.241120-2-2.888621-1 2.620536-2-4.721944-1 4.039551-2-1.210738+0 4.495011-2-1.497826+0 4.839957-2-1.790704+0 5.090701-2-2.104967+0 5.253843-2-2.422221+0 5.364461-2-2.766138+0 5.432848-2-3.122423+0 5.483576-2-3.594349+0 5.546261-2-4.349313+0 5.574000-2-4.424540+0 5.607525-2-4.157736+0 5.668947-2-3.324445+0 5.721929-2-2.840780+0 5.780213-2-2.506302+0 5.865934-2-2.170847+0 5.997007-2-1.823604+0 6.157460-2-1.525845+0 6.334883-2-1.284173+0 6.561710-2-1.062806+0 6.831639-2-8.755222-1 7.193150-2-6.982936-1 7.508559-2-5.851382-1 7.913137-2-4.809951-1 8.332613-2-4.059045-1 8.755191-2-3.528836-1 9.198323-2-3.160016-1 9.894152-2-2.811108-1 1.061781-1-2.627799-1 1.146628-1-2.576879-1 1.326397-1-2.734323-1 2.056621-1-3.876883-1 2.675409-1-4.552072-1 3.617986-1-5.144973-1 5.128614-1-5.597737-1 8.135620-1-5.915806-1 2.039158+0-6.093521-1 6.158159+0-6.134572-1 1.000000+1-6.133648-1 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.101665-1 1.080511-6 1.588617-1 1.139633-6 2.058954-1 1.201138-6 2.672315-1 1.232954-6 3.054940-1 1.289117-6 3.854465-1 1.341824-6 4.777348-1 1.391289-6 5.832195-1 1.414868-6 6.416510-1 1.460553-6 7.708745-1 1.503382-6 9.145882-1 1.543535-6 1.073695+0 1.581178-6 1.248461+0 1.616468-6 1.439031+0 1.649553-6 1.645431+0 1.680570-6 1.867555+0 1.709648-6 2.105174+0 1.736909-6 2.357927+0 1.762466-6 2.625330+0 1.786426-6 2.906778+0 1.808888-6 3.201550+0 1.829947-6 3.508820+0 1.849689-6 3.827719+0 1.868197-6 4.157970+0 1.885549-6 4.499945+0 1.918083-6 5.230010+0 1.946551-6 5.981050+0 1.971460-6 6.746050+0 1.993255-6 7.514587+0 2.012326-6 8.277689+0 2.029013-6 9.027667+0 2.048000-6 9.986402+0 2.069167-6 1.120389+1 2.088331-6 1.247232+1 2.102704-6 1.355026+1 2.124264-6 1.540333+1 2.151105-6 1.818574+1 2.166950-6 2.014911+1 2.182795-6 2.241495+1 2.198640-6 2.504438+1 2.214485-6 2.811767+1 2.230330-6 3.174317+1 2.246175-6 3.606591+1 2.261599-6 4.112782+1 2.271107-6 4.477345+1 2.280021-6 4.863646+1 2.288378-6 5.272360+1 2.296212-6 5.704195+1 2.303557-6 6.159856+1 2.310443-6 6.640030+1 2.316898-6 7.145357+1 2.322950-6 7.676453+1 2.328624-6 8.233962+1 2.333943-6 8.818645+1 2.343604-6 1.007374+2 2.352370-6 1.150340+2 2.360040-6 1.308451+2 2.366751-6 1.483594+2 2.372623-6 1.676878+2 2.377762-6 1.887872+2 2.382257-6 2.114312+2 2.386191-6 2.352352+2 2.389634-6 2.597179+2 2.392646-6 2.843699+2 2.395281-6 3.087114+2 2.399605-6 3.549041+2 2.405784-6 4.361118+2 2.415101-6 5.961510+2 2.421363-6 7.291279+2 2.425611-6 8.292669+2 2.431552-6 9.784352+2 2.432295-6 9.975019+2 2.437493-6 1.130809+3 2.439536-6 1.182077+3 2.443435-6 1.275798+3 2.446066-6 1.334507+3 2.449205-6 1.398022+3 2.452360-6 1.452977+3 2.455419-6 1.496183+3 2.457973-6 1.523688+3 2.460950-6 1.544981+3 2.464414-6 1.554266+3 2.467199-6 1.549222+3 2.468419-6 1.543473+3 2.471370-6 1.520752+3 2.474102-6 1.488902+3 2.476401-6 1.454467+3 2.479242-6 1.402972+3 2.481759-6 1.349926+3 2.484869-6 1.276043+3 2.487071-6 1.219094+3 2.489470-6 1.153544+3 2.491492-6 1.096113+3 2.493339-6 1.042406+3 2.495567-6 9.766350+2 2.497273-6 9.259572+2 2.499711-6 8.536945+2 2.502552-6 7.707256+2 2.503588-6 7.410019+2 2.506187-6 6.682389+2 2.508787-6 5.985948+2 2.512639-6 5.024029+2 2.514728-6 4.542368+2 2.520910-6 3.298920+2 2.523783-6 2.817782+2 2.531560-6 1.822504+2 2.533926-6 1.605056+2 2.535787-6 1.460489+2 2.537217-6 1.364633+2 2.538843-6 1.271337+2 2.540366-6 1.198689+2 2.541689-6 1.146867+2 2.542986-6 1.106082+2 2.543834-6 1.084636+2 2.544669-6 1.067528+2 2.570975-6 2.618745+2 2.579658-6 4.318572+2 2.583789-6 5.447353+2 2.588242-6 6.946629+2 2.592197-6 8.556062+2 2.595136-6 9.938820+2 2.598430-6 1.169043+3 2.601708-6 1.365559+3 2.603674-6 1.494387+3 2.606871-6 1.721403+3 2.610067-6 1.969982+3 2.616859-6 2.564989+3 2.618358-6 2.707097+3 2.622291-6 3.095062+3 2.625312-6 3.404423+3 2.629246-6 3.815058+3 2.632492-6 4.154498+3 2.635638-6 4.477860+3 2.638885-6 4.799441+3 2.642031-6 5.093315+3 2.644828-6 5.334972+3 2.647919-6 5.575574+3 2.648824-6 5.640102+3 2.652570-6 5.874970+3 2.655495-6 6.019076+3 2.658902-6 6.139586+3 2.661672-6 6.198043+3 2.667803-6 6.198146+3 2.669551-6 6.165827+3 2.674395-6 6.005016+3 2.677439-6 5.854220+3 2.680389-6 5.675420+3 2.683635-6 5.446178+3 2.686782-6 5.196743+3 2.689578-6 4.956989+3 2.692275-6 4.713554+3 2.696371-6 4.328794+3 2.699567-6 4.022414+3 2.703163-6 3.678282+3 2.705960-6 3.414980+3 2.712353-6 2.841776+3 2.714551-6 2.657168+3 2.718746-6 2.326112+3 2.724340-6 1.932420+3 2.730719-6 1.552717+3 2.741762-6 1.060165+3 2.747219-6 8.833018+2 2.749932-6 8.090457+2 2.752634-6 7.430423+2 2.758017-6 6.322435+2 2.763357-6 5.450016+2 2.768656-6 4.760657+2 2.773914-6 4.211718+2 2.779130-6 3.769682+2 2.784306-6 3.408876+2 2.789442-6 3.110012+2 2.794537-6 2.858784+2 2.799592-6 2.644646+2 2.804608-6 2.459818+2 2.809585-6 2.298522+2 2.819460-6 2.029263+2 2.829182-6 1.814197+2 2.838751-6 1.638408+2 2.848171-6 1.492145+2 2.857444-6 1.368703+2 2.866572-6 1.263292+2 2.875557-6 1.172372+2 2.884402-6 1.093265+2 2.893109-6 1.023893+2 2.901679-6 9.626217+1 2.918553-6 8.586840+1 2.934899-6 7.748128+1 2.950734-6 7.058882+1 2.966075-6 6.484195+1 2.980936-6 5.999143+1 2.995332-6 5.585398+1 3.009279-6 5.229135+1 3.022790-6 4.919585+1 3.048967-6 4.400991+1 3.073509-6 3.992356+1 3.096516-6 3.663717+1 3.118086-6 3.395123+1 3.138307-6 3.172569+1 3.157265-6 2.985781+1 3.192810-6 2.681238+1 3.223913-6 2.454272+1 3.251127-6 2.281224+1 3.298753-6 2.022179+1 3.334472-6 1.857203+1 3.388050-6 1.646732+1 3.467042-6 1.393355+1 3.611051-6 1.050082+1 3.712486-6 8.562571+0 3.788563-6 7.197160+0 3.817091-6 6.684059+0 3.842054-6 6.224569+0 3.863896-6 5.808709+0 3.883008-6 5.429388+0 3.899731-6 5.081499+0 3.914364-6 4.761281+0 3.927167-6 4.465955+0 3.938370-6 4.193520+0 3.948173-6 3.942622+0 3.956750-6 3.712414+0 3.971761-6 3.284275+0 3.983018-6 2.944046+0 3.991462-6 2.682366+0 3.997794-6 2.486192+0 4.006106-6 2.235838+0 4.016792-6 1.944906+0 4.019263-6 1.885983+0 4.026679-6 1.737530+0 4.031622-6 1.669037+0 4.034094-6 1.646252+0 4.036565-6 1.632253+0 4.043981-6 1.652399+0 4.046452-6 1.683206+0 4.047688-6 1.703730+0 4.052014-6 1.804879+0 4.054176-6 1.873958+0 4.056339-6 1.956452+0 4.057575-6 2.009932+0 4.061900-6 2.236004+0 4.065145-6 2.448296+0 4.066226-6 2.527772+0 4.070385-6 2.876693+0 4.075043-6 3.354429+0 4.084147-6 4.583342+0 4.092340-6 6.058509+0 4.097764-6 7.241714+0 4.105433-6 9.203684+0 4.110239-6 1.060409+1 4.115447-6 1.226364+1 4.120219-6 1.390474+1 4.124813-6 1.558157+1 4.129455-6 1.735802+1 4.134276-6 1.927063+1 4.138605-6 2.102857+1 4.143307-6 2.295704+1 4.146995-6 2.446749+1 4.152128-6 2.653783+1 4.155791-6 2.797392+1 4.160165-6 2.962197+1 4.165165-6 3.138771+1 4.166338-6 3.178011+1 4.172493-6 3.368234+1 4.176399-6 3.473546+1 4.184868-6 3.654618+1 4.188266-6 3.707641+1 4.194755-6 3.775992+1 4.199083-6 3.797342+1 4.204248-6 3.797782+1 4.209862-6 3.768619+1 4.215520-6 3.710223+1 4.217406-6 3.684798+1 4.222776-6 3.597712+1 4.224565-6 3.564253+1 4.231101-6 3.426049+1 4.235785-6 3.314137+1 4.243304-6 3.118778+1 4.255125-6 2.792490+1 4.261413-6 2.618831+1 4.278342-6 2.183759+1 4.287818-6 1.972797+1 4.295264-6 1.826268+1 4.302477-6 1.700549+1 4.309465-6 1.593312+1 4.316235-6 1.502052+1 4.329351-6 1.355948+1 4.341648-6 1.248730+1 4.353176-6 1.167803+1 4.374791-6 1.050857+1 4.393704-6 9.723654+0 4.410253-6 9.151116+0 4.526115-6 6.274144+0 4.537256-6 6.011976+0 4.548396-6 5.740667+0 4.559537-6 5.458533+0 4.570677-6 5.165956+0 4.581818-6 4.866858+0 4.607309-6 4.217527+0 4.614710-6 4.062932+0 4.621812-6 3.942130+0 4.631739-6 3.834154+0 4.635048-6 3.817413+0 4.646401-6 3.848281+0 4.649239-6 3.879668+0 4.657754-6 4.036293+0 4.662287-6 4.159417+0 4.666614-6 4.303183+0 4.670941-6 4.472402+0 4.676163-6 4.709585+0 4.683627-6 5.107055+0 4.704363-6 6.482901+0 4.711326-6 6.990597+0 4.715503-6 7.294758+0 4.726644-6 8.072899+0 4.728036-6 8.164463+0 4.737784-6 8.752201+0 4.740569-6 8.899918+0 4.748925-6 9.278885+0 4.751719-6 9.382417+0 4.756610-6 9.533864+0 4.760277-6 9.622020+0 4.765779-6 9.712925+0 4.771281-6 9.754659+0 4.776957-6 9.747832+0 4.782633-6 9.693175+0 4.791148-6 9.530071+0 4.793986-6 9.456388+0 4.805339-6 9.082346+0 4.813850-6 8.737579+0 4.822368-6 8.356988+0 4.828044-6 8.091692+0 4.839397-6 7.551930+0 4.870635-6 6.181883+0 4.882624-6 5.753968+0 4.894612-6 5.399916+0 4.906601-6 5.128844+0 4.918589-6 4.947512+0 4.921898-6 4.913792+0 4.931824-6 4.855004+0 4.937762-6 4.849468+0 4.942216-6 4.859145+0 4.948896-6 4.894337+0 4.955576-6 4.951785+0 4.964483-6 5.056739+0 4.994173-6 5.506582+0 5.003080-6 5.626697+0 5.013110-6 5.731858+0 5.019127-6 5.775931+0 5.024099-6 5.800517+0 5.031556-6 5.816823+0 5.039013-6 5.809006+0 5.045184-6 5.785652+0 5.051355-6 5.748847+0 5.062460-6 5.655941+0 5.102146-6 5.248686+0 5.117906-6 5.133496+0 5.125408-6 5.094037+0 5.137750-6 5.048236+0 5.159385-6 5.006298+0 5.189989-6 4.964313+0 5.226244-6 4.877680+0 5.331880-6 4.567016+0 5.379863-6 4.414797+0 5.478820-6 4.072671+0 5.567231-6 3.814521+0 5.601339-6 3.707459+0 5.672070-6 3.475659+0 5.722461-6 3.304022+0 5.772853-6 3.123710+0 5.865812-6 2.774844+0 5.945387-6 2.462273+0 6.017676-6 2.152694+0 6.071893-6 1.900659+0 6.112556-6 1.699272+0 6.144000-6 1.535466+0 6.165926-6 1.416877+0 6.183081-6 1.321613+0 6.208813-6 1.174852+0 6.234545-6 1.024077+0 6.249890-6 9.327523-1 6.265236-6 8.408991-1 6.280581-6 7.491746-1 6.295927-6 6.585418-1 6.311272-6 5.704348-1 6.326618-6 4.870510-1 6.349636-6 3.790250-1 6.357309-6 3.506117-1 6.364982-6 3.279499-1 6.372654-6 3.127326-1 6.380327-6 3.071328-1 6.388000-6 3.139205-1 6.391836-6 3.230216-1 6.397591-6 3.452427-1 6.403346-6 3.795513-1 6.407182-6 4.102828-1 6.410059-6 4.380079-1 6.414375-6 4.879827-1 6.416533-6 5.171052-1 6.420609-6 5.804386-1 6.423756-6 6.374740-1 6.428254-6 7.327108-1 6.434996-6 9.099370-1 6.454657-6 1.736680+0 6.461895-6 2.192808+0 6.468564-6 2.704916+0 6.473599-6 3.157826+0 6.480073-6 3.833977+0 6.487866-6 4.804526+0 6.495419-6 5.928579+0 6.502292-6 7.125718+0 6.508915-6 8.450849+0 6.514826-6 9.785686+0 6.526110-6 1.276109+1 6.533638-6 1.507416+1 6.539024-6 1.689502+1 6.548873-6 2.058404+1 6.555033-6 2.312260+1 6.558316-6 2.454567+1 6.568165-6 2.908791+1 6.574325-6 3.211688+1 6.585121-6 3.770739+1 6.591901-6 4.135177+1 6.599352-6 4.542172+1 6.605969-6 4.904686+1 6.612880-6 5.279566+1 6.618907-6 5.599220+1 6.626593-6 5.991236+1 6.632702-6 6.285777+1 6.640457-6 6.631827+1 6.648175-6 6.939024+1 6.651718-6 7.065932+1 6.659532-6 7.310946+1 6.666811-6 7.492803+1 6.671424-6 7.583455+1 6.678028-6 7.678832+1 6.683516-6 7.726687+1 6.686697-6 7.741291+1 6.697656-6 7.718559+1 6.702638-6 7.671720+1 6.709760-6 7.567176+1 6.714338-6 7.477836+1 6.722085-6 7.290289+1 6.727630-6 7.130467+1 6.734908-6 6.892332+1 6.741926-6 6.636656+1 6.752270-6 6.223454+1 6.760275-6 5.882618+1 6.774533-6 5.252930+1 6.792293-6 4.472711+1 6.795463-6 4.337778+1 6.817657-6 3.459113+1 6.858798-6 2.229133+1 6.867047-6 2.047116+1 6.875255-6 1.885269+1 6.883483-6 1.740848+1 6.891712-6 1.612709+1 6.899940-6 1.499241+1 6.916397-6 1.310006+1 6.932854-6 1.161331+1 6.949310-6 1.043196+1 6.965767-6 9.476610+0 6.982224-6 8.687485+0 6.998681-6 8.021102+0 7.015137-6 7.446308+0 7.039795-6 6.709158+0 7.195008-6 3.430953+0 7.224723-6 2.902807+0 7.247839-6 2.505084+0 7.268065-6 2.169053+0 7.285763-6 1.890387+0 7.301249-6 1.667544+0 7.314800-6 1.499608+0 7.327010-6 1.381912+0 7.337030-6 1.319474+0 7.346108-6 1.298647+0 7.354051-6 1.315882+0 7.361001-6 1.364167+0 7.367082-6 1.436454+0 7.372403-6 1.526123+0 7.377059-6 1.627291+0 7.381133-6 1.734966+0 7.384698-6 1.845090+0 7.387817-6 1.954492+0 7.392934-6 2.162334+0 7.398452-6 2.429235+0 7.405253-6 2.825478+0 7.416131-6 3.632833+0 7.432448-6 5.308577+0 7.441799-6 6.554544+0 7.449871-6 7.813175+0 7.453495-6 8.435410+0 7.461647-6 9.968322+0 7.468109-6 1.131533+1 7.471733-6 1.212155+1 7.479885-6 1.406716+1 7.486347-6 1.573473+1 7.491329-6 1.709210+1 7.501980-6 2.018492+1 7.509260-6 2.242901+1 7.515397-6 2.438683+1 7.523353-6 2.699296+1 7.530444-6 2.935589+1 7.537316-6 3.165789+1 7.545082-6 3.424208+1 7.553380-6 3.694404+1 7.556400-6 3.790367+1 7.566627-6 4.101950+1 7.574774-6 4.331355+1 7.578759-6 4.436177+1 7.587054-6 4.636413+1 7.593704-6 4.777607+1 7.611408-6 5.058098+1 7.617285-6 5.118171+1 7.629646-6 5.188424+1 7.635523-6 5.195159+1 7.641133-6 5.185859+1 7.646744-6 5.161612+1 7.654359-6 5.105803+1 7.660578-6 5.041781+1 7.668741-6 4.934644+1 7.676612-6 4.809051+1 7.683220-6 4.688881+1 7.692339-6 4.504547+1 7.701457-6 4.303273+1 7.706017-6 4.197839+1 7.719695-6 3.869600+1 7.740213-6 3.370102+1 7.756800-6 2.985669+1 7.790761-6 2.318308+1 7.800295-6 2.166533+1 7.809828-6 2.030913+1 7.820138-6 1.901872+1 7.830447-6 1.790082+1 7.839898-6 1.701541+1 7.849349-6 1.625006+1 7.858799-6 1.559090+1 7.868250-6 1.502364+1 7.887151-6 1.410907+1 7.906053-6 1.340296+1 7.922279-6 1.289831+1 7.981659-6 1.131392+1 8.000560-6 1.081977+1 8.038363-6 9.837871+0 8.161603-6 7.122347+0 8.192000-6 6.618373+0 8.215609-6 6.297431+0 8.235732-6 6.088329+0 8.256007-6 5.950966+0 8.265916-6 5.913786+0 8.275977-6 5.897261+0 8.285421-6 5.901479+0 8.299587-6 5.943138+0 8.313754-6 6.024834+0 8.330697-6 6.168255+0 8.356467-6 6.454104+0 8.376590-6 6.701322+0 8.401743-6 6.990245+0 8.416835-6 7.132242+0 8.434235-6 7.252580+0 8.444675-6 7.298967+0 8.460939-6 7.330088+0 8.477203-6 7.311361+0 8.497326-6 7.224699+0 8.517448-6 7.079409+0 8.537571-6 6.890962+0 8.563377-6 6.611551+0 8.657245-6 5.588691+0 8.709224-6 5.130223+0 8.752097-6 4.823247+0 8.773533-6 4.698781+0 8.794970-6 4.597456+0 8.816407-6 4.521673+0 8.833371-6 4.480469+0 8.850335-6 4.455303+0 8.865526-6 4.445071+0 8.880717-6 4.444511+0 8.945027-6 4.485211+0 8.966463-6 4.487675+0 8.984095-6 4.477367+0 9.001726-6 4.454079+0 9.030773-6 4.387565+0 9.052277-6 4.319368+0 9.096405-6 4.152002+0 9.165629-6 3.895719+0 9.237637-6 3.669121+0 9.268654-6 3.569140+0 9.351477-6 3.294200+0 9.374866-6 3.234519+0 9.400567-6 3.194035+0 9.423873-6 3.188294+0 9.441108-6 3.206518+0 9.450929-6 3.226005+0 9.468535-6 3.277508+0 9.480259-6 3.323088+0 9.496195-6 3.397957+0 9.512845-6 3.489160+0 9.562535-6 3.793633+0 9.585673-6 3.921853+0 9.602687-6 3.998998+0 9.622324-6 4.063884+0 9.635693-6 4.091232+0 9.650408-6 4.104742+0 9.663380-6 4.102290+0 9.678227-6 4.083710+0 9.698252-6 4.034593+0 9.720037-6 3.955296+0 9.742650-6 3.852464+0 9.767811-6 3.723916+0 9.850757-6 3.304901+0 9.875526-6 3.200077+0 9.904483-6 3.093813+0 9.924141-6 3.032137+0 9.948449-6 2.968020+0 9.972756-6 2.917796+0 9.997063-6 2.881762+0 1.002151-5 2.859566+0 1.005044-5 2.849757+0 1.009429-5 2.859255+0 1.014291-5 2.879244+0 1.016721-5 2.883262+0 1.019205-5 2.879312+0 1.021583-5 2.866883+0 1.024014-5 2.845910+0 1.028888-5 2.786245+0 1.037152-5 2.677174+0 1.041366-5 2.632174+0 1.054275-5 2.522758+0 1.065116-5 2.430078+0 1.070250-5 2.382873+0 1.076088-5 2.324335+0 1.082097-5 2.256936+0 1.098136-5 2.065349+0 1.107533-5 1.973900+0 1.119135-5 1.880719+0 1.138730-5 1.725909+0 1.149789-5 1.638070+0 1.180000-5 1.401458+0 1.216186-5 1.136417+0 1.259933-5 8.407377-1 1.303167-5 5.840611-1 1.315946-5 5.159309-1 1.350000-5 3.535161-1 1.371757-5 2.646989-1 1.400000-5 1.689917-1 1.419662-5 1.168211-1 1.441848-5 7.402538-2 1.457347-5 5.484604-2 1.462647-5 5.057450-2 1.482147-5 4.490347-2 1.500427-5 5.449310-2 1.517566-5 7.789293-2 1.533633-5 1.135814-1 1.548696-5 1.603461-1 1.566751-5 2.346748-1 1.586955-5 3.427882-1 1.610841-5 5.004215-1 1.630340-5 5.935849-1 1.631467-5 5.954112-1 1.655900-5 5.398797-1 1.675661-5 4.460337-1 1.698859-5 3.417937-1 1.708332-5 3.026716-1 1.724909-5 2.398732-1 1.737801-5 1.965895-1 1.755990-5 1.448970-1 1.774640-5 1.045195-1 1.783376-5 9.059248-2 1.787744-5 8.496243-2 1.792112-5 8.027308-2 1.796480-5 7.656023-2 1.800848-5 7.385787-2 1.805216-5 7.219958-2 1.809584-5 7.161978-2 1.813952-5 7.215455-2 1.818320-5 7.384191-2 1.822688-5 7.672178-2 1.824832-5 7.858381-2 1.827056-5 8.083601-2 1.831424-5 8.622865-2 1.840160-5 1.010397-1 1.848896-5 1.215659-1 1.857632-5 1.482418-1 1.877074-5 2.317469-1 1.892147-5 3.219218-1 1.906119-5 4.282615-1 1.920091-5 5.594405-1 1.934063-5 7.182945-1 1.950000-5 9.371892-1 1.962006-5 1.132251+0 1.975978-5 1.396892+0 1.985293-5 1.598178+0 2.006979-5 2.151312+0 2.027310-5 2.792702+0 2.046370-5 3.524457+0 2.064239-5 4.347702+0 2.080991-5 5.262070+0 2.099569-5 6.462764+0 2.138164-5 9.759082+0 2.217982-5 2.222597+1 2.244770-5 2.927588+1 2.265278-5 3.626741+1 2.283693-5 4.407772+1 2.304010-5 5.490485+1 2.318142-5 6.421086+1 2.332274-5 7.537295+1 2.344048-5 8.643070+1 2.355236-5 9.876878+1 2.366718-5 1.137031+2 2.378199-5 1.314861+2 2.389680-5 1.528467+2 2.397204-5 1.692448+2 2.406902-5 1.938465+2 2.412642-5 2.106087+2 2.421355-5 2.398611+2 2.429864-5 2.738562+2 2.435605-5 3.005379+2 2.441345-5 3.308963+2 2.449791-5 3.838500+2 2.455821-5 4.292844+2 2.461851-5 4.829310+2 2.467881-5 5.471060+2 2.473911-5 6.250475+2 2.480343-5 7.285465+2 2.485971-5 8.424041+2 2.492000-5 9.973503+2 2.495928-5 1.122274+3 2.499233-5 1.245777+3 2.501045-5 1.321807+3 2.504060-5 1.463213+3 2.507075-5 1.625786+3 2.510423-5 1.835040+3 2.514224-5 2.115208+3 2.515602-5 2.229402+3 2.522150-5 2.879179+3 2.534209-5 4.656509+3 2.540369-5 5.921283+3 2.545251-5 7.115224+3 2.548783-5 8.086036+3 2.551888-5 9.011230+3 2.555867-5 1.028777+4 2.561343-5 1.218610+4 2.563609-5 1.300810+4 2.568383-5 1.477861+4 2.571805-5 1.605361+4 2.574641-5 1.709376+4 2.577522-5 1.811866+4 2.579497-5 1.879404+4 2.582506-5 1.976684+4 2.585650-5 2.069193+4 2.589113-5 2.157864+4 2.592139-5 2.222008+4 2.595958-5 2.282903+4 2.599182-5 2.315276+4 2.600560-5 2.323538+4 2.603935-5 2.329300+4 2.605784-5 2.323692+4 2.611604-5 2.266265+4 2.614403-5 2.218199+4 2.617258-5 2.156667+4 2.619656-5 2.096126+4 2.622708-5 2.008711+4 2.625852-5 1.908383+4 2.628334-5 1.823217+4 2.631121-5 1.722786+4 2.633448-5 1.636095+4 2.636441-5 1.522386+4 2.639570-5 1.402577+4 2.642699-5 1.283685+4 2.646239-5 1.152392+4 2.648992-5 1.053883+4 2.655295-5 8.445303+3 2.657530-5 7.766382+3 2.662631-5 6.354092+3 2.666457-5 5.423812+3 2.670079-5 4.644077+3 2.674074-5 3.893675+3 2.680004-5 2.975019+3 2.694327-5 1.532931+3 2.700524-5 1.157358+3 2.703779-5 1.002281+3 2.709685-5 7.789800+2 2.711464-5 7.239226+2 2.714702-5 6.357709+2 2.716801-5 5.860159+2 2.720056-5 5.188266+2 2.723312-5 4.622140+2 2.729822-5 3.750852+2 2.736817-5 3.122565+2 2.738501-5 3.010303+2 2.743553-5 2.750193+2 2.745869-5 2.665323+2 2.748079-5 2.602056+2 2.750289-5 2.554537+2 2.751973-5 2.527948+2 2.754736-5 2.500407+2 2.756993-5 2.490943+2 2.759954-5 2.493391+2 2.763762-5 2.515896+2 2.769656-5 2.577213+2 2.778077-5 2.675369+2 2.784813-5 2.726931+2 2.786287-5 2.732619+2 2.790890-5 2.735039+2 2.795194-5 2.715245+2 2.798396-5 2.686823+2 2.800891-5 2.657050+2 2.804526-5 2.602866+2 2.807855-5 2.543506+2 2.811051-5 2.479425+2 2.815049-5 2.392081+2 2.819218-5 2.295660+2 2.827453-5 2.101627+2 2.841414-5 1.803139+2 2.848569-5 1.674854+2 2.859340-5 1.511454+2 2.872325-5 1.348153+2 2.892904-5 1.128942+2 2.912560-5 9.468590+1 2.936930-5 7.598773+1 2.947209-5 6.968837+1 2.952226-5 6.701690+1 2.956469-5 6.497932+1 2.962803-5 6.232912+1 2.969626-5 6.001326+1 2.975103-5 5.856125+1 2.981154-5 5.737923+1 2.986224-5 5.674193+1 2.990679-5 5.647570+1 2.994722-5 5.651761+1 2.998628-5 5.688267+1 3.001354-5 5.737962+1 3.004062-5 5.812412+1 3.006431-5 5.902896+1 3.009581-5 6.069132+1 3.012534-5 6.285266+1 3.016008-5 6.636289+1 3.019499-5 7.125818+1 3.023018-5 7.800014+1 3.025146-5 8.317039+1 3.027006-5 8.849640+1 3.028167-5 9.224613+1 3.029516-5 9.705358+1 3.030882-5 1.024651+2 3.033530-5 1.146789+2 3.036012-5 1.284929+2 3.038339-5 1.438453+2 3.040521-5 1.606432+2 3.042566-5 1.787688+2 3.046523-5 2.213601+2 3.051028-5 2.841610+2 3.058362-5 4.276416+2 3.063765-5 5.742255+2 3.067520-5 7.006492+2 3.070830-5 8.308505+2 3.074799-5 1.012271+3 3.076302-5 1.088614+3 3.079103-5 1.242612+3 3.080810-5 1.344207+3 3.084699-5 1.597850+3 3.088375-5 1.866540+3 3.095939-5 2.506345+3 3.097298-5 2.633048+3 3.103976-5 3.300474+3 3.106414-5 3.559832+3 3.111068-5 4.071155+3 3.114462-5 4.451944+3 3.117430-5 4.785755+3 3.119908-5 5.062376+3 3.123095-5 5.411204+3 3.126615-5 5.782081+3 3.130244-5 6.141406+3 3.133514-5 6.439308+3 3.136548-5 6.689241+3 3.139873-5 6.929412+3 3.143471-5 7.144932+3 3.146872-5 7.302343+3 3.150380-5 7.414725+3 3.152574-5 7.458385+3 3.156239-5 7.484998+3 3.159101-5 7.465679+3 3.164815-5 7.325449+3 3.168116-5 7.186494+3 3.171001-5 7.033341+3 3.174444-5 6.815721+3 3.177879-5 6.565437+3 3.180276-5 6.374040+3 3.183421-5 6.105417+3 3.187464-5 5.737392+3 3.190870-5 5.413736+3 3.195222-5 4.990675+3 3.198531-5 4.667401+3 3.201841-5 4.347176+3 3.210211-5 3.573005+3 3.222295-5 2.606829+3 3.231404-5 2.025789+3 3.242243-5 1.498497+3 3.245818-5 1.359887+3 3.251181-5 1.180621+3 3.256544-5 1.031774+3 3.265113-5 8.462354+2 3.269552-5 7.708394+2 3.273991-5 7.069728+2 3.282030-5 6.153533+2 3.290148-5 5.475353+2 3.298108-5 4.993827+2 3.302127-5 4.806335+2 3.306146-5 4.650587+2 3.309566-5 4.540370+2 3.314697-5 4.408915+2 3.319827-5 4.312567+2 3.323450-5 4.262451+2 3.328396-5 4.213878+2 3.336635-5 4.171361+2 3.346397-5 4.157165+2 3.358187-5 4.150945+2 3.365570-5 4.136991+2 3.371094-5 4.117544+2 3.380586-5 4.064252+2 3.387544-5 4.010638+2 3.401063-5 3.882916+2 3.426261-5 3.632575+2 3.437774-5 3.534473+2 3.453646-5 3.420351+2 3.556706-5 2.860632+2 3.589862-5 2.717909+2 3.646878-5 2.521404+2 3.708895-5 2.349180+2 3.779534-5 2.189339+2 3.855287-5 2.048133+2 3.938574-5 1.921915+2 3.994296-5 1.849000+2 4.094045-5 1.736386+2 4.191617-5 1.644102+2 4.287570-5 1.567104+2 4.400000-5 1.489198+2 4.549846-5 1.401898+2 4.704349-5 1.327546+2 4.829161-5 1.276549+2 4.981236-5 1.223674+2 5.269742-5 1.139067+2 5.314862-5 1.130818+2 5.400000-5 1.123984+2 5.447627-5 1.117172+2 5.580116-5 1.093153+2 5.654566-5 1.086554+2 5.876197-5 1.089546+2 6.144000-5 1.100661+2 6.461190-5 1.120755+2 6.903969-5 1.162977+2 7.328731-5 1.219846+2 7.829788-5 1.302868+2 8.389769-5 1.412231+2 9.110243-5 1.570943+2 9.952143-5 1.775618+2 1.109175-4 2.076492+2 1.288799-4 2.588711+2 1.364583-4 2.805852+2 1.560459-4 3.333005+2 1.574291-4 3.685141+2 1.582311-4 4.459234+2 1.586042-4 5.123807+2 1.593849-4 7.442666+2 1.597753-4 9.139249+2 1.601657-4 1.116394+3 1.605561-4 1.341390+3 1.613447-4 1.789304+3 1.617272-4 1.957996+3 1.621176-4 2.068490+3 1.625080-4 2.102786+3 1.628984-4 2.057188+3 1.632888-4 1.939217+3 1.644599-4 1.349141+3 1.648503-4 1.153654+3 1.652444-4 9.912670+2 1.653774-4 9.467166+2 1.656337-4 8.772192+2 1.661917-4 8.035756+2 1.664118-4 8.031636+2 1.666041-4 8.149688+2 1.670057-4 8.714979+2 1.674127-4 9.623913+2 1.681801-4 1.170041+3 1.687200-4 1.293342+3 1.690968-4 1.346589+3 1.695133-4 1.363818+3 1.699192-4 1.335826+3 1.703324-4 1.265753+3 1.712849-4 1.001667+3 1.715120-4 9.308666+2 1.719080-4 8.114657+2 1.722974-4 7.055453+2 1.727044-4 6.120719+2 1.735186-4 4.832617+2 1.747662-4 4.042788+2 1.758709-4 3.938792+2 1.771837-4 4.008400+2 1.780623-4 4.068172+2 1.809546-4 4.253804+2 1.865054-4 4.733390+2 1.898423-4 5.002746+2 1.932403-4 5.239271+2 1.972423-4 5.463935+2 2.015018-4 5.645144+2 2.059976-4 5.785274+2 2.120025-4 5.919695+2 2.190000-4 6.028555+2 2.270310-4 6.116902+2 2.652500-4 6.460999+2 2.857721-4 6.641358+2 3.029422-4 6.743033+2 3.058489-4 6.805278+2 3.104479-4 6.934274+2 3.157855-4 7.015894+2 3.213941-4 7.190555+2 3.287801-4 7.386301+2 3.408685-4 7.614478+2 3.521207-4 7.800601+2 3.683427-4 8.134195+2 3.892390-4 8.484337+2 4.150024-4 8.807453+2 4.302370-4 8.950806+2 4.359185-4 9.030419+2 4.499093-4 9.313268+2 4.740885-4 9.661511+2 5.128614-4 1.007391+3 5.561043-4 1.042773+3 6.025759-4 1.071404+3 6.557469-4 1.093151+3 7.136880-4 1.106521+3 7.706816-4 1.108824+3 8.293732-4 1.099786+3 8.917083-4 1.082911+3 9.534799-4 1.057761+3 1.014495-3 1.024506+3 1.070749-3 9.841956+2 1.119759-3 9.387142+2 1.166400-3 8.871533+2 1.202264-3 8.402553+2 1.236979-3 7.869900+2 1.265511-3 7.358223+2 1.286051-3 6.934492+2 1.305029-3 6.485158+2 1.322607-3 6.007446+2 1.336610-3 5.570353+2 1.347096-3 5.201052+2 1.358892-3 4.766743+2 1.367306-3 4.531419+2 1.368477-3 4.512196+2 1.374721-3 4.502308+2 1.378590-3 4.594175+2 1.381950-3 4.742772+2 1.385318-3 4.952670+2 1.388516-3 5.197366+2 1.395114-3 5.764025+2 1.398866-3 6.067764+2 1.402291-3 6.305478+2 1.405625-3 6.494955+2 1.410212-3 6.705242+2 1.415169-3 6.926557+2 1.418811-3 7.134164+2 1.422440-3 7.409034+2 1.425009-3 7.650409+2 1.429460-3 8.149306+2 1.435284-3 8.876125+2 1.437061-3 9.091097+2 1.439295-3 9.343486+2 1.441327-3 9.549015+2 1.444524-3 9.813447+2 1.448118-3 1.001385+3 1.451790-3 1.011451+3 1.455000-3 1.013087+3 1.460380-3 1.006739+3 1.465214-3 9.988978+2 1.468557-3 9.958265+2 1.472051-3 9.963147+2 1.476808-3 1.003996+3 1.478893-3 1.009830+3 1.482269-3 1.022019+3 1.489164-3 1.054571+3 1.507956-3 1.158778+3 1.526310-3 1.254351+3 1.542006-3 1.327885+3 1.560968-3 1.405667+3 1.576930-3 1.460376+3 1.590258-3 1.497852+3 1.605642-3 1.532958+3 1.625479-3 1.568471+3 1.644373-3 1.594684+3 1.672469-3 1.623974+3 1.693284-3 1.638336+3 1.718559-3 1.646760+3 1.752003-3 1.642405+3 1.761796-3 1.643756+3 1.773384-3 1.654713+3 1.780776-3 1.668841+3 1.794041-3 1.706936+3 1.811055-3 1.766502+3 1.825948-3 1.814920+3 1.836031-3 1.842713+3 1.845527-3 1.864854+3 1.856280-3 1.885521+3 1.874380-3 1.911782+3 1.892908-3 1.930655+3 1.918622-3 1.947551+3 1.964995-3 1.965948+3 1.987553-3 1.989370+3 2.027394-3 2.049330+3 2.041871-3 2.067140+3 2.060562-3 2.084780+3 2.085009-3 2.100670+3 2.111866-3 2.110856+3 2.168872-3 2.117742+3 2.192489-3 2.134392+3 2.239701-3 2.188450+3 2.256909-3 2.202072+3 2.288801-3 2.219452+3 2.359296-3 2.243212+3 2.457600-3 2.259167+3 2.614230-3 2.262157+3 2.741689-3 2.254319+3 2.879216-3 2.236144+3 3.053615-3 2.204925+3 3.304171-3 2.147668+3 3.590319-3 2.073243+3 3.845918-3 2.006719+3 4.153349-3 1.919602+3 4.456013-3 1.835276+3 4.659296-3 1.780310+3 5.113874-3 1.659187+3 5.582091-3 1.538672+3 5.832906-3 1.477023+3 6.083593-3 1.416575+3 6.309573-3 1.363410+3 6.564293-3 1.303550+3 6.790082-3 1.251074+3 7.000000-3 1.202386+3 7.181540-3 1.159133+3 7.344750-3 1.119430+3 7.480876-3 1.085259+3 7.608325-3 1.051761+3 7.712452-3 1.022621+3 7.815382-3 9.917761+2 7.886331-3 9.687502+2 7.959754-3 9.426098+2 8.022515-3 9.174025+2 8.073594-3 8.937537+2 8.115061-3 8.715631+2 8.146738-3 8.524938+2 8.256576-3 7.813871+2 8.284269-3 7.681985+2 8.311973-3 7.599703+2 8.327208-3 7.579484+2 8.353138-3 7.588043+2 8.382535-3 7.659320+2 8.417716-3 7.811688+2 8.501607-3 8.276616+2 8.528844-3 8.410565+2 8.558766-3 8.535177+2 8.595622-3 8.655396+2 8.625625-3 8.728987+2 8.672115-3 8.808607+2 8.722021-3 8.859064+2 8.773411-3 8.883009+2 8.833562-3 8.882195+2 8.895291-3 8.852172+2 8.953936-3 8.795605+2 9.008966-3 8.714882+2 9.092024-3 8.541900+2 9.167323-3 8.370853+2 9.211028-3 8.303898+2 9.255022-3 8.285464+2 9.292963-3 8.314593+2 9.339147-3 8.396675+2 9.431104-3 8.609777+2 9.498464-3 8.719193+2 9.569118-3 8.769883+2 9.649393-3 8.802889+2 9.712174-3 8.862033+2 9.806978-3 9.030841+2 9.933136-3 9.271562+2 9.983450-3 9.339241+2 1.004645-2 9.400171+2 1.019576-2 9.478322+2 1.039153-2 9.509436+2 1.062808-2 9.488771+2 1.091223-2 9.413510+2 1.128684-2 9.262815+2 1.185940-2 8.970651+2 1.241831-2 8.653202+2 1.321098-2 8.184448+2 1.421131-2 7.603752+2 1.570505-2 6.813384+2 1.740304-2 6.038737+2 1.966080-2 5.193451+2 2.205301-2 4.477294+2 2.365221-2 4.074759+2 2.614509-2 3.538250+2 2.818383-2 3.166317+2 3.196264-2 2.608341+2 3.587202-2 2.172035+2 3.885095-2 1.904220+2 4.191684-2 1.669629+2 4.534417-2 1.449116+2 4.823707-2 1.290962+2 5.053964-2 1.177542+2 5.226814-2 1.096257+2 5.361980-2 1.032306+2 5.460012-2 9.833805+1 5.532661-2 9.431783+1 5.563309-2 9.240532+1 5.588464-2 9.067541+1 5.624334-2 8.789134+1 5.702120-2 8.136843+1 5.726120-2 7.995641+1 5.745136-2 7.931162+1 5.761460-2 7.913755+1 5.777356-2 7.929706+1 5.800993-2 8.003776+1 5.872457-2 8.367923+1 5.898538-2 8.478008+1 5.937620-2 8.591374+1 5.983922-2 8.661493+1 6.042345-2 8.689989+1 6.117125-2 8.674081+1 6.210332-2 8.611383+1 6.396046-2 8.415310+1 6.590069-2 8.160522+1 6.789945-2 7.876937+1 7.161434-2 7.342363+1 7.585776-2 6.759721+1 8.147725-2 6.059283+1 8.941817-2 5.212655+1 9.914025-2 4.384303+1 1.122172-1 3.535987+1 1.299190-1 2.718008+1 1.820586-1 1.466775+1 2.199835-1 1.032698+1 2.663222-1 7.194287+0 3.494529-1 4.268023+0 5.084521-1 2.057992+0 7.997047-1 8.456431-1 1.347258+0 3.011387-1 2.814822+0 6.938179-2 8.500626+0 7.618822-3 2.567148+1 8.355205-4 7.752663+1 9.161461-5 2.341267+2 1.004536-5 7.070513+2 1.101452-6 2.511886+3 8.727049-8 7.943282+3 8.727049-9 2.511886+4 8.72705-10 7.943282+4 8.72705-11 1.000000+5 5.50640-11 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.148400-6 1.258900-6 3.405000-6 1.584900-6 5.396600-6 1.995300-6 8.553000-6 2.511900-6 1.355600-5 3.162300-6 2.148400-5 3.981100-6 3.405000-5 5.011900-6 5.396500-5 6.309600-6 8.552800-5 7.943300-6 1.355500-4 1.000000-5 2.148300-4 1.258900-5 3.404800-4 1.584900-5 5.393500-4 1.995300-5 8.542700-4 2.511900-5 1.353200-3 3.162300-5 2.143800-3 3.981100-5 3.396700-3 5.011900-5 5.382100-3 6.309600-5 8.528300-3 7.943300-5 1.349200-2 1.000000-4 2.133400-2 1.258900-4 3.373200-2 1.584900-4 5.319200-2 1.995300-4 8.371600-2 2.511900-4 1.311600-1 3.162300-4 2.041700-1 3.981100-4 3.144200-1 5.011900-4 4.755900-1 6.309600-4 7.024700-1 7.943300-4 1.006600+0 1.000000-3 1.394700+0 1.258900-3 1.872000+0 1.584900-3 2.459400+0 1.995300-3 3.198800+0 2.511900-3 4.134600+0 3.162300-3 5.282200+0 3.981100-3 6.655700+0 5.011900-3 8.261700+0 6.309600-3 1.007200+1 7.943300-3 1.205200+1 1.000000-2 1.419300+1 1.258900-2 1.649500+1 1.584900-2 1.890500+1 1.995300-2 2.140300+1 2.511900-2 2.373500+1 3.162300-2 2.575100+1 3.981100-2 2.736500+1 5.011900-2 2.853100+1 6.309600-2 2.923600+1 7.943300-2 2.946200+1 1.000000-1 2.918600+1 1.258900-1 2.844800+1 1.584900-1 2.738900+1 1.995300-1 2.602800+1 2.511900-1 2.446700+1 3.162300-1 2.278700+1 3.981100-1 2.104100+1 5.011900-1 1.928500+1 6.309600-1 1.755400+1 7.943300-1 1.587200+1 1.000000+0 1.425200+1 1.258900+0 1.272700+1 1.584900+0 1.128400+1 1.995300+0 9.939400+0 2.511900+0 8.698600+0 3.162300+0 7.565100+0 3.981100+0 6.540100+0 5.011900+0 5.622300+0 6.309600+0 4.807700+0 7.943300+0 4.091600+0 1.000000+1 3.466700+0 1.258900+1 2.925300+0 1.584900+1 2.459400+0 1.995300+1 2.060900+0 2.511900+1 1.721700+0 3.162300+1 1.434500+0 3.981100+1 1.192300+0 5.011900+1 9.887600-1 6.309600+1 8.183400-1 7.943300+1 6.760600-1 1.000000+2 5.575900-1 1.258900+2 4.591900-1 1.584900+2 3.776300-1 1.995300+2 3.101600-1 2.511900+2 2.544500-1 3.162300+2 2.085100-1 3.981100+2 1.707000-1 5.011900+2 1.396100-1 6.309600+2 1.140900-1 7.943300+2 9.315500-2 1.000000+3 7.600300-2 1.258900+3 6.196500-2 1.584900+3 5.048500-2 1.995300+3 4.110500-2 2.511900+3 3.344800-2 3.162300+3 2.720100-2 3.981100+3 2.210900-2 5.011900+3 1.796100-2 6.309600+3 1.458400-2 7.943300+3 1.183600-2 1.000000+4 9.601200-3 1.258900+4 7.785100-3 1.584900+4 6.310000-3 1.995300+4 5.112200-3 2.511900+4 4.140300-3 3.162300+4 3.351800-3 3.981100+4 2.712600-3 5.011900+4 2.194500-3 6.309600+4 1.774800-3 7.943300+4 1.434800-3 1.000000+5 1.159700-3 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510165-4 3.162278-4 3.159557-4 3.981072-4 3.976777-4 5.011872-4 5.005110-4 6.309573-4 6.298955-4 7.943282-4 7.926666-4 1.000000-3 9.974044-4 1.258925-3 1.254886-3 1.584893-3 1.578577-3 1.995262-3 1.985351-3 2.511886-3 2.496326-3 3.162278-3 3.137826-3 3.981072-3 3.942727-3 5.011872-3 4.951865-3 6.309573-3 6.215946-3 7.943282-3 7.797566-3 1.000000-2 9.773485-3 1.258925-2 1.223735-2 1.584893-2 1.530228-2 1.995262-2 1.910876-2 2.511886-2 2.382273-2 3.162278-2 2.964651-2 3.981072-2 3.681668-2 5.011872-2 4.560753-2 6.309573-2 5.634620-2 7.943282-2 6.939296-2 1.000000-1 8.522939-2 1.258925-1 1.043457-1 1.584893-1 1.272539-1 1.995262-1 1.547181-1 2.511886-1 1.875102-1 3.162278-1 2.265094-1 3.981072-1 2.727286-1 5.011872-1 3.273733-1 6.309573-1 3.918566-1 7.943282-1 4.678760-1 1.000000+0 5.573526-1 1.258925+0 6.625014-1 1.584893+0 7.868589-1 1.995262+0 9.339458-1 2.511886+0 1.108527+0 3.162278+0 1.316227+0 3.981072+0 1.564200+0 5.011872+0 1.861093+0 6.309573+0 2.217374+0 7.943282+0 2.645783+0 1.000000+1 3.162384+0 1.258925+1 3.786460+0 1.584893+1 4.541603+0 1.995262+1 5.456840+0 2.511886+1 6.567648+0 3.162278+1 7.917519+0 3.981072+1 9.560237+0 5.011872+1 1.156092+1 6.309573+1 1.400054+1 7.943282+1 1.697818+1 1.000000+2 2.061558+1 1.258925+2 2.506278+1 1.584893+2 3.050435+1 1.995262+2 3.716807+1 2.511886+2 4.533300+1 3.162278+2 5.534557+1 3.981072+2 6.762999+1 5.011872+2 8.271319+1 6.309573+2 1.012429+2 7.943282+2 1.240183+2 1.000000+3 1.520269+2 1.258925+3 1.864912+2 1.584893+3 2.289170+2 1.995262+3 2.811760+2 2.511886+3 3.455540+2 3.162278+3 4.249365+2 3.981072+3 5.228216+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88196-10 1.995262-5 1.090625-9 2.511886-5 1.728496-9 3.162278-5 2.739513-9 3.981072-5 4.341885-9 5.011872-5 6.881405-9 6.309573-5 1.090598-8 7.943282-5 1.727645-8 1.000000-4 2.737318-8 1.258925-4 4.337421-8 1.584893-4 6.868558-8 1.995262-4 1.087565-7 2.511886-4 1.720986-7 3.162278-4 2.720834-7 3.981072-4 4.294713-7 5.011872-4 6.762703-7 6.309573-4 1.061798-6 7.943282-4 1.661620-6 1.000000-3 2.595646-6 1.258925-3 4.039201-6 1.584893-3 6.316003-6 1.995262-3 9.911404-6 2.511886-3 1.556024-5 3.162278-3 2.445116-5 3.981072-3 3.834474-5 5.011872-3 6.000776-5 6.309573-3 9.362761-5 7.943282-3 1.457164-4 1.000000-2 2.265149-4 1.258925-2 3.519044-4 1.584893-2 5.466542-4 1.995262-2 8.438664-4 2.511886-2 1.296138-3 3.162278-2 1.976264-3 3.981072-2 2.994035-3 5.011872-2 4.511197-3 6.309573-2 6.749537-3 7.943282-2 1.003987-2 1.000000-1 1.477061-2 1.258925-1 2.154687-2 1.584893-1 3.123543-2 1.995262-1 4.480813-2 2.511886-1 6.367848-2 3.162278-1 8.971841-2 3.981072-1 1.253785-1 5.011872-1 1.738139-1 6.309573-1 2.391007-1 7.943282-1 3.264522-1 1.000000+0 4.426474-1 1.258925+0 5.964240-1 1.584893+0 7.980343-1 1.995262+0 1.061317+0 2.511886+0 1.403360+0 3.162278+0 1.846051+0 3.981072+0 2.416871+0 5.011872+0 3.150780+0 6.309573+0 4.092199+0 7.943282+0 5.297500+0 1.000000+1 6.837616+0 1.258925+1 8.802795+0 1.584893+1 1.130733+1 1.995262+1 1.449578+1 2.511886+1 1.855122+1 3.162278+1 2.370526+1 3.981072+1 3.025048+1 5.011872+1 3.855780+1 6.309573+1 4.909520+1 7.943282+1 6.245464+1 1.000000+2 7.938442+1 1.258925+2 1.008298+2 1.584893+2 1.279850+2 1.995262+2 1.623582+2 2.511886+2 2.058556+2 3.162278+2 2.608822+2 3.981072+2 3.304772+2 5.011872+2 4.184740+2 6.309573+2 5.297144+2 7.943282+2 6.703100+2 1.000000+3 8.479731+2 1.258925+3 1.072434+3 1.584893+3 1.355976+3 1.995262+3 1.714086+3 2.511886+3 2.166332+3 3.162278+3 2.737341+3 3.981072+3 3.458250+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.480000-6 4.462480+6 5.700000-6 3.794740+6 6.309573-6 2.463001+6 6.918310-6 1.653831+6 7.585776-6 1.102474+6 8.317638-6 7.297546+5 9.120108-6 4.794061+5 9.760000-6 3.500462+5 9.760000-6 1.350166+6 9.940000-6 1.282986+6 1.000000-5 1.262859+6 1.023293-5 1.188871+6 1.060000-5 1.089819+6 1.094000-5 1.014580+6 1.094000-5 1.696790+6 1.100000-5 1.676966+6 1.122018-5 1.610212+6 1.135011-5 1.574437+6 1.165000-5 1.500392+6 1.180000-5 1.467226+6 1.216186-5 1.396494+6 1.230269-5 1.373413+6 1.258925-5 1.329152+6 1.303167-5 1.273666+6 1.310000-5 1.266740+6 1.350000-5 1.228560+6 1.365000-5 1.217398+6 1.400000-5 1.192947+6 1.420000-5 1.182580+6 1.445440-5 1.170167+6 1.450000-5 1.168362+6 1.462177-5 1.164362+6 1.500000-5 1.152836+6 1.515000-5 1.150484+6 1.550000-5 1.145622+6 1.554900-5 1.145251+6 1.566751-5 1.145203+6 1.610000-5 1.145599+6 1.655900-5 1.152305+6 1.670000-5 1.154487+6 1.678804-5 1.156324+6 1.698244-5 1.161738+6 1.737801-5 1.172986+6 1.750000-5 1.177111+6 1.785000-5 1.191228+6 1.800000-5 1.197349+6 1.830000-5 1.210931+6 1.870000-5 1.231698+6 1.920000-5 1.260126+6 1.920700-5 1.260565+6 1.950000-5 1.279073+6 1.972423-5 1.294164+6 2.018366-5 1.325295+6 2.020000-5 1.326560+6 2.070000-5 1.365528+6 2.113489-5 1.399723+6 2.130000-5 1.413390+6 2.137962-5 1.420011+6 2.194700-5 1.470317+6 2.213095-5 1.486769+6 2.270000-5 1.539994+6 2.317395-5 1.586921+6 2.353000-5 1.623667+6 2.426610-5 1.700667+6 2.454709-5 1.731446+6 2.600160-5 1.899173+6 2.630268-5 1.934663+6 2.691535-5 2.009259+6 2.900000-5 2.274055+6 2.906000-5 2.281924+6 2.906000-5 2.397624+7 2.940000-5 2.243077+7 2.995000-5 2.036471+7 3.000000-5 2.020304+7 3.054921-5 1.854482+7 3.126079-5 1.680534+7 3.162278-5 1.606712+7 3.198895-5 1.537226+7 3.273407-5 1.416912+7 3.311311-5 1.364371+7 3.350000-5 1.314335+7 3.427678-5 1.227906+7 3.467369-5 1.187984+7 3.473000-5 1.182793+7 3.473000-5 2.125267+7 3.515000-5 2.021230+7 3.570000-5 1.902293+7 3.575000-5 1.892062+7 3.589219-5 1.864817+7 3.630781-5 1.788797+7 3.650000-5 1.755954+7 3.672823-5 1.719835+7 3.715352-5 1.655820+7 3.801894-5 1.542348+7 3.810000-5 1.532491+7 3.845918-5 1.491720+7 3.920000-5 1.415052+7 3.935501-5 1.400547+7 4.070000-5 1.286859+7 4.073803-5 1.284027+7 4.120975-5 1.250163+7 4.220000-5 1.185695+7 4.265795-5 1.158538+7 4.315191-5 1.131680+7 4.365158-5 1.106533+7 4.400000-5 1.090008+7 4.518559-5 1.038960+7 4.677351-5 9.817310+6 4.731513-5 9.649411+6 4.897788-5 9.201512+6 4.954502-5 9.068237+6 5.011872-5 8.945551+6 5.069907-5 8.831336+6 5.308844-5 8.443535+6 5.370318-5 8.361508+6 5.400000-5 8.324582+6 5.432503-5 8.286924+6 5.495409-5 8.219157+6 5.673000-5 8.055924+6 5.673000-5 8.109261+6 5.770000-5 8.038006+6 5.800000-5 8.018535+6 5.850000-5 7.987010+6 5.956621-5 7.929453+6 5.970000-5 7.922586+6 6.070000-5 7.877102+6 6.165950-5 7.842300+6 6.180000-5 7.838119+6 6.237348-5 7.822803+6 6.309573-5 7.803181+6 6.382635-5 7.787233+6 6.400000-5 7.784097+6 6.456542-5 7.772952+6 6.531306-5 7.761299+6 6.606934-5 7.753833+6 6.760830-5 7.747657+6 6.800000-5 7.745625+6 6.900000-5 7.743505+6 7.079458-5 7.744123+6 7.150000-5 7.747709+6 7.161434-5 7.748437+6 7.244360-5 7.749945+6 7.328245-5 7.754254+6 7.413102-5 7.756667+6 7.585776-5 7.766525+6 7.673615-5 7.774677+6 7.800000-5 7.782403+6 7.943282-5 7.788117+6 8.128305-5 7.801230+6 8.150000-5 7.801845+6 8.317638-5 7.808206+6 8.511380-5 7.813077+6 8.609938-5 7.816663+6 8.650000-5 7.816446+6 8.810489-5 7.817736+6 8.900000-5 7.815939+6 8.912509-5 7.815711+6 9.015711-5 7.814499+6 9.300000-5 7.815659+6 9.400000-5 7.811903+6 9.500000-5 7.809075+6 9.660509-5 7.800772+6 9.800000-5 7.794210+6 1.000000-4 7.786781+6 1.011579-4 7.779414+6 1.023293-4 7.769225+6 1.035142-4 7.759756+6 1.047129-4 7.750566+6 1.071519-4 7.733101+6 1.083927-4 7.725093+6 1.100000-4 7.709126+6 1.109175-4 7.700313+6 1.122018-4 7.684824+6 1.150000-4 7.652960+6 1.161449-4 7.640529+6 1.174898-4 7.626116+6 1.190000-4 7.610603+6 1.205000-4 7.587246+6 1.230269-4 7.549266+6 1.244515-4 7.528313+6 1.258925-4 7.507739+6 1.260000-4 7.506219+6 1.273503-4 7.487429+6 1.303167-4 7.431389+6 1.318257-4 7.403531+6 1.364583-4 7.321857+6 1.380384-4 7.286361+6 1.396368-4 7.251197+6 1.412538-4 7.216144+6 1.450000-4 7.137569+6 1.462177-4 7.112760+6 1.496236-4 7.029282+6 1.520000-4 6.972644+6 1.531087-4 6.946746+6 1.566751-4 6.865622+6 1.584893-4 6.821067+6 1.603245-4 6.773587+6 1.659587-4 6.632923+6 1.698244-4 6.540956+6 1.720000-4 6.483154+6 1.722600-4 6.476319+6 1.722600-4 6.888934+6 1.731000-4 6.889522+6 1.737801-4 6.892291+6 1.760000-4 6.908460+6 1.775000-4 6.922910+6 1.786000-4 6.933015+6 1.795000-4 6.939931+6 1.802500-4 6.943846+6 1.802500-4 7.232285+6 1.805000-4 7.236539+6 1.809000-4 7.241771+6 1.815000-4 7.251597+6 1.819701-4 7.257423+6 1.820000-4 7.257816+6 1.825000-4 7.263837+6 1.830000-4 7.267868+6 1.834000-4 7.271765+6 1.845000-4 7.278181+6 1.856000-4 7.280403+6 1.862087-4 7.279565+6 1.865000-4 7.278843+6 1.873000-4 7.274240+6 1.875000-4 7.272793+6 1.885000-4 7.262493+6 1.895000-4 7.247349+6 1.905461-4 7.226255+6 1.908000-4 7.220521+6 1.915000-4 7.202827+6 1.922000-4 7.183338+6 1.926000-4 7.171234+6 1.927525-4 7.166198+6 1.935000-4 7.140322+6 1.940000-4 7.121891+6 1.945000-4 7.102412+6 1.950000-4 7.081694+6 1.957000-4 7.052153+6 1.960000-4 7.038777+6 1.969000-4 6.997304+6 1.980000-4 6.945033+6 1.985000-4 6.920540+6 1.995262-4 6.869490+6 2.010000-4 6.795046+6 2.030000-4 6.691920+6 2.041738-4 6.631673+6 2.050000-4 6.589400+6 2.065380-4 6.511167+6 2.070000-4 6.487597+6 2.080000-4 6.436478+6 2.089296-4 6.388328+6 2.100000-4 6.333635+6 2.137962-4 6.146598+6 2.187762-4 5.920173+6 2.190000-4 5.910481+6 2.213095-4 5.814071+6 2.220000-4 5.785302+6 2.230000-4 5.743163+6 2.264644-4 5.604906+6 2.290868-4 5.507023+6 2.317395-4 5.414284+6 2.330000-4 5.372188+6 2.344229-4 5.326055+6 2.350000-4 5.307932+6 2.365000-4 5.259542+6 2.371374-4 5.239509+6 2.373000-4 5.234303+6 2.400000-4 5.150879+6 2.426610-4 5.073584+6 2.430000-4 5.064080+6 2.454709-4 4.996627+6 2.483133-4 4.923362+6 2.500000-4 4.882151+6 2.511886-4 4.853481+6 2.540973-4 4.784544+6 2.550000-4 4.764152+6 2.570396-4 4.716403+6 2.600160-4 4.650158+6 2.630268-4 4.586747+6 2.635000-4 4.577061+6 2.660725-4 4.525874+6 2.670000-4 4.507934+6 2.691535-4 4.467475+6 2.722701-4 4.408957+6 2.730000-4 4.395111+6 2.770000-4 4.321910+6 2.786121-4 4.293567+6 2.818383-4 4.238798+6 2.851018-4 4.185875+6 2.880000-4 4.138822+6 2.884032-4 4.132450+6 2.951209-4 4.025306+6 3.040000-4 3.896411+6 3.054921-4 3.875137+6 3.090295-4 3.825565+6 3.129700-4 3.770053+6 3.129700-4 4.052152+6 3.162278-4 4.006472+6 3.235937-4 3.907651+6 3.273407-4 3.860019+6 3.280280-4 3.851354+6 3.311311-4 3.811675+6 3.350000-4 3.761898+6 3.427678-4 3.665412+6 3.467369-4 3.619352+6 3.470000-4 3.616305+6 3.507519-4 3.573201+6 3.548134-4 3.526848+6 3.563300-4 3.509335+6 3.570400-4 3.501080+6 3.570400-4 3.570524+6 3.589219-4 3.548839+6 3.600000-4 3.536449+6 3.672823-4 3.455971+6 3.700000-4 3.426744+6 3.758374-4 3.365616+6 3.801894-4 3.320834+6 3.820000-4 3.301675+6 3.845918-4 3.274471+6 3.890451-4 3.229135+6 3.900000-4 3.219649+6 3.935501-4 3.184987+6 4.027170-4 3.097412+6 4.073803-4 3.054278+6 4.168694-4 2.966087+6 4.216965-4 2.923700+6 4.265795-4 2.881073+6 4.315191-4 2.839264+6 4.365158-4 2.797628+6 4.368500-4 2.794730+6 4.368500-4 2.880701+6 4.518559-4 2.756106+6 4.550000-4 2.731360+6 4.623810-4 2.674174+6 4.677351-4 2.633514+6 4.700000-4 2.616368+6 4.731513-4 2.592646+6 4.820000-4 2.527402+6 4.841724-4 2.511861+6 4.897788-4 2.472645+6 4.954502-4 2.433883+6 5.011872-4 2.394677+6 5.069907-4 2.355607+6 5.128614-4 2.317270+6 5.188000-4 2.279391+6 5.248075-4 2.241731+6 5.308844-4 2.204909+6 5.370318-4 2.168471+6 5.415200-4 2.142344+6 5.432503-4 2.132272+6 5.500000-4 2.093214+6 5.623413-4 2.025145+6 5.688529-4 1.990634+6 5.754399-4 1.955819+6 5.821032-4 1.921756+6 5.900000-4 1.882338+6 5.956621-4 1.854728+6 6.025596-4 1.821952+6 6.100000-4 1.787224+6 6.165950-4 1.757448+6 6.200000-4 1.742287+6 6.237348-4 1.725901+6 6.309573-4 1.694687+6 6.382635-4 1.663807+6 6.456542-4 1.633133+6 6.531306-4 1.603020+6 6.606934-4 1.573527+6 6.683439-4 1.544329+6 6.760830-4 1.515553+6 6.839116-4 1.486979+6 7.000000-4 1.430697+6 7.161434-4 1.377351+6 7.244360-4 1.350814+6 7.413102-4 1.299209+6 7.585776-4 1.249041+6 7.673615-4 1.224400+6 7.762471-4 1.200341+6 7.800000-4 1.190432+6 7.852356-4 1.176743+6 8.035261-4 1.130294+6 8.128305-4 1.107702+6 8.222426-4 1.085294+6 8.413951-4 1.041978+6 8.511380-4 1.020809+6 8.609938-4 9.999220+5 8.709636-4 9.795210+5 8.810489-4 9.593107+5 9.015711-4 9.199622+5 9.225714-4 8.820949+5 9.332543-4 8.638418+5 9.440609-4 8.456774+5 9.500000-4 8.359558+5 9.549926-4 8.278859+5 9.660509-4 8.104339+5 9.700000-4 8.043144+5 9.772372-4 7.931892+5 9.885531-4 7.763001+5 1.000000-3 7.598085+5 1.023293-3 7.275722+5 1.035142-3 7.119721+5 1.047129-3 6.966764+5 1.059254-3 6.815702+5 1.083927-3 6.522471+5 1.109175-3 6.239328+5 1.122018-3 6.102924+5 1.135011-3 5.968156+5 1.150000-3 5.818166+5 1.161449-3 5.707132+5 1.174898-3 5.580512+5 1.188502-3 5.455196+5 1.216186-3 5.213773+5 1.230269-3 5.096451+5 1.244515-3 4.981685+5 1.258925-3 4.869534+5 1.273503-3 4.760130+5 1.288250-3 4.651057+5 1.318257-3 4.440968+5 1.350000-3 4.232977+5 1.364583-3 4.142404+5 1.380384-3 4.047180+5 1.412000-3 3.864675+5 1.412000-3 1.213191+6 1.412538-3 1.212251+6 1.428894-3 1.184179+6 1.455000-3 1.141188+6 1.455000-3 1.482113+6 1.462177-3 1.487624+6 1.468000-3 1.492769+6 1.477000-3 1.494065+6 1.480700-3 1.494099+6 1.500000-3 1.498630+6 1.513561-3 1.503786+6 1.519000-3 1.506333+6 1.523000-3 1.506570+6 1.531087-3 1.503865+6 1.531300-3 1.503798+6 1.548817-3 1.492281+6 1.550000-3 1.491535+6 1.555000-3 1.486913+6 1.566751-3 1.473294+6 1.570000-3 1.468780+6 1.580000-3 1.452153+6 1.603245-3 1.406030+6 1.621810-3 1.370691+6 1.659587-3 1.302577+6 1.678804-3 1.269808+6 1.698244-3 1.237871+6 1.717908-3 1.206709+6 1.737801-3 1.176347+6 1.757924-3 1.146754+6 1.778279-3 1.117913+6 1.796200-3 1.093340+6 1.796200-3 1.259266+6 1.798871-3 1.255365+6 1.800000-3 1.253722+6 1.840772-3 1.190472+6 1.850000-3 1.176807+6 1.862087-3 1.159235+6 1.883649-3 1.128831+6 1.920000-3 1.080183+6 1.927525-3 1.070302+6 1.950000-3 1.041556+6 1.972423-3 1.014243+6 1.991800-3 9.912827+5 1.991800-3 1.050915+6 2.000000-3 1.041167+6 2.018366-3 1.019563+6 2.041738-3 9.930035+5 2.065380-3 9.671302+5 2.113489-3 9.174834+5 2.137962-3 8.936441+5 2.162719-3 8.704260+5 2.188900-3 8.463203+5 2.188900-3 8.832964+5 2.220000-3 8.553126+5 2.238721-3 8.389132+5 2.264644-3 8.169527+5 2.290868-3 7.955765+5 2.317395-3 7.747058+5 2.350000-3 7.500860+5 2.371374-3 7.345485+5 2.400000-3 7.144781+5 2.426610-3 6.963969+5 2.454709-3 6.779675+5 2.511886-3 6.423039+5 2.540973-3 6.252187+5 2.570396-3 6.085175+5 2.600160-3 5.922876+5 2.630268-3 5.764754+5 2.660725-3 5.610853+5 2.691535-3 5.459994+5 2.722701-3 5.313277+5 2.754229-3 5.169904+5 2.818383-3 4.894903+5 2.851018-3 4.762433+5 2.884032-3 4.633683+5 2.917427-3 4.508474+5 2.951209-3 4.386295+5 2.985383-3 4.267607+5 3.000000-3 4.218279+5 3.019952-3 4.152294+5 3.090295-3 3.927019+5 3.126079-3 3.818564+5 3.162278-3 3.713268+5 3.198895-3 3.610722+5 3.235937-3 3.511116+5 3.273407-3 3.414260+5 3.300000-3 3.347584+5 3.349654-3 3.227266+5 3.388442-3 3.137200+5 3.450000-3 3.001522+5 3.467369-3 2.964658+5 3.548134-3 2.801669+5 3.589219-3 2.723661+5 3.630781-3 2.647905+5 3.715352-3 2.503001+5 3.758374-3 2.433348+5 3.801894-3 2.365659+5 3.845918-3 2.298976+5 3.900000-3 2.220728+5 4.027170-3 2.050066+5 4.073803-3 1.992165+5 4.168694-3 1.881412+5 4.216965-3 1.828218+5 4.265795-3 1.776125+5 4.300000-3 1.740844+5 4.315191-3 1.725425+5 4.365158-3 1.676082+5 4.570882-3 1.493102+5 4.623810-3 1.450713+5 4.650000-3 1.430370+5 4.731513-3 1.369421+5 4.800000-3 1.321043+5 4.841724-3 1.292433+5 4.897788-3 1.255349+5 4.900000-3 1.253914+5 4.954502-3 1.219071+5 5.011872-3 1.183885+5 5.188000-3 1.084599+5 5.248075-3 1.053453+5 5.308844-3 1.023229+5 5.370318-3 9.938007+4 5.432503-3 9.650855+4 5.500000-3 9.351545+4 5.623413-3 8.834348+4 5.688529-3 8.577943+4 5.821032-3 8.088332+4 5.888437-3 7.853485+4 6.000000-3 7.485823+4 6.095369-3 7.190507+4 6.165950-3 6.981007+4 6.309573-3 6.578515+4 6.382635-3 6.386262+4 6.456542-3 6.199386+4 6.531306-3 6.018083+4 6.606934-3 5.842342+4 6.683439-3 5.671370+4 6.839116-3 5.344743+4 7.000000-3 5.032894+4 7.161434-3 4.743491+4 7.244360-3 4.603880+4 7.300000-3 4.513416+4 7.413102-3 4.336493+4 7.498942-3 4.208778+4 7.585776-3 4.084936+4 7.673615-3 3.964891+4 7.762471-3 3.848247+4 7.852356-3 3.734336+4 8.000000-3 3.557015+4 8.128305-3 3.412005+4 8.222426-3 3.310880+4 8.317638-3 3.212750+4 8.347400-3 3.182929+4 8.347400-3 8.620782+4 8.413951-3 8.453126+4 8.609938-3 7.984773+4 8.810489-3 7.514249+4 8.912509-3 7.288921+4 9.120108-3 6.857865+4 9.274800-3 6.553319+4 9.274800-3 9.006655+4 9.332543-3 8.865204+4 9.340000-3 8.847149+4 9.440609-3 8.608550+4 9.549926-3 8.359362+4 9.550000-3 8.359197+4 9.660509-3 8.108474+4 9.716200-3 7.986056+4 9.716200-3 9.236360+4 9.772372-3 9.100356+4 9.885531-3 8.834788+4 1.000000-2 8.582608+4 1.011579-2 8.337800+4 1.023293-2 8.097656+4 1.040000-2 7.771460+4 1.059254-2 7.419558+4 1.060000-2 7.406371+4 1.071519-2 7.204353+4 1.096478-2 6.788730+4 1.109175-2 6.590241+4 1.122018-2 6.397724+4 1.135011-2 6.210694+4 1.148154-2 6.029257+4 1.161449-2 5.853251+4 1.174898-2 5.683024+4 1.188502-2 5.516487+4 1.190000-2 5.498572+4 1.202264-2 5.353598+4 1.216186-2 5.195260+4 1.230269-2 5.041715+4 1.258925-2 4.748536+4 1.273503-2 4.607556+4 1.288250-2 4.470684+4 1.303167-2 4.337961+4 1.348963-2 3.961438+4 1.350000-2 3.953451+4 1.364583-2 3.843173+4 1.380384-2 3.728457+4 1.396368-2 3.617229+4 1.428894-2 3.404852+4 1.450000-2 3.276228+4 1.462177-2 3.205020+4 1.479108-2 3.109562+4 1.531087-2 2.840354+4 1.540000-2 2.797482+4 1.548817-2 2.755669+4 1.566751-2 2.673265+4 1.579600-2 2.615804+4 1.584893-2 2.592584+4 1.621810-2 2.438337+4 1.650000-2 2.329087+4 1.659587-2 2.293453+4 1.678804-2 2.224288+4 1.698244-2 2.157239+4 1.717908-2 2.091867+4 1.737801-2 2.028527+4 1.757924-2 1.967154+4 1.778279-2 1.907642+4 1.800000-2 1.846857+4 1.840772-2 1.739122+4 1.862087-2 1.686269+4 1.883649-2 1.635008+4 1.927525-2 1.537239+4 1.950000-2 1.490306+4 1.995262-2 1.401081+4 2.000000-2 1.392176+4 2.018366-2 1.358359+4 2.041738-2 1.316928+4 2.065380-2 1.276776+4 2.113489-2 1.199616+4 2.137962-2 1.162800+4 2.162719-2 1.127142+4 2.213095-2 1.058951+4 2.264644-2 9.949805+3 2.290868-2 9.643370+3 2.317395-2 9.346632+3 2.344229-2 9.059037+3 2.371374-2 8.780198+3 2.398833-2 8.510071+3 2.400000-2 8.498849+3 2.426610-2 8.248200+3 2.454709-2 7.994543+3 2.483133-2 7.748886+3 2.511886-2 7.510973+3 2.540973-2 7.278845+3 2.691535-2 6.217608+3 2.722701-2 6.024976+3 2.754229-2 5.838459+3 2.800000-2 5.581170+3 2.818383-2 5.482258+3 2.851018-2 5.311791+3 2.884032-2 5.146757+3 2.917427-2 4.986985+3 2.951209-2 4.832294+3 2.985383-2 4.682498+3 3.090295-2 4.258646+3 3.126079-2 4.125571+3 3.162278-2 3.996664+3 3.235937-2 3.750869+3 3.273407-2 3.633711+3 3.311311-2 3.520301+3 3.349654-2 3.410509+3 3.388442-2 3.303642+3 3.427678-2 3.200186+3 3.507519-2 3.003079+3 3.589219-2 2.817786+3 3.672823-2 2.644149+3 3.715352-2 2.561356+3 3.758374-2 2.481214+3 3.801894-2 2.403321+3 3.845918-2 2.327846+3 3.890451-2 2.254800+3 3.935501-2 2.183607+3 3.981072-2 2.114710+3 4.027170-2 2.048015+3 4.073803-2 1.983459+3 4.168694-2 1.860504+3 4.265795-2 1.745314+3 4.315191-2 1.690435+3 4.365158-2 1.637157+3 4.466836-2 1.535694+3 4.500000-2 1.504484+3 4.570882-2 1.440576+3 4.731513-2 1.307684+3 4.786301-2 1.266212+3 4.897788-2 1.187240+3 5.011872-2 1.113282+3 5.069907-2 1.078060+3 5.128614-2 1.043974+3 5.188000-2 1.010970+3 5.308844-2 9.481222+2 5.370318-2 9.181708+2 5.559043-2 8.332261+2 5.623413-2 8.067201+2 5.688529-2 7.810061+2 5.757400-2 7.550174+2 5.757400-2 4.027127+3 5.821032-2 3.920577+3 5.850000-2 3.873393+3 5.895000-2 3.794363+3 5.956621-2 3.701205+3 5.970000-2 3.681408+3 6.095369-2 3.479458+3 6.100000-2 3.472292+3 6.237348-2 3.282662+3 6.309573-2 3.188732+3 6.350000-2 3.137782+3 6.382635-2 3.095430+3 6.531306-2 2.911912+3 6.683439-2 2.739321+3 6.760830-2 2.656911+3 7.000000-2 2.422870+3 7.079458-2 2.352210+3 7.161434-2 2.282266+3 7.328245-2 2.148541+3 7.413102-2 2.084653+3 7.498942-2 2.022674+3 7.585776-2 1.962531+3 7.852356-2 1.792448+3 7.943282-2 1.737964+3 8.035261-2 1.685140+3 8.128305-2 1.633924+3 8.317638-2 1.536129+3 8.709636-2 1.357808+3 8.810489-2 1.316168+3 9.015711-2 1.236693+3 9.332543-2 1.126259+3 9.440609-2 1.091691+3 9.549926-2 1.058187+3 9.660509-2 1.025715+3 9.772372-2 9.942419+2 9.885531-2 9.637356+2 1.023293-1 8.777299+2 1.035142-1 8.508074+2 1.071519-1 7.749066+2 1.096478-1 7.275548+2 1.135011-1 6.618236+2 1.161449-1 6.213438+2 1.174898-1 6.020443+2 1.188502-1 5.833467+2 1.230269-1 5.306710+2 1.258925-1 4.982292+2 1.288250-1 4.677732+2 1.303167-1 4.532556+2 1.348963-1 4.123556+2 1.364583-1 3.995614+2 1.396368-1 3.750092+2 1.445440-1 3.409851+2 1.479108-1 3.200409+2 1.500000-1 3.079196+2 1.513561-1 3.003849+2 1.548817-1 2.819390+2 1.566751-1 2.731468+2 1.584893-1 2.646289+2 1.621810-1 2.483828+2 1.650000-1 2.368815+2 1.659587-1 2.331369+2 1.698244-1 2.188311+2 1.757924-1 1.990038+2 1.778279-1 1.928046+2 1.840772-1 1.753429+2 1.862087-1 1.698816+2 1.883649-1 1.645910+2 1.927525-1 1.544996+2 1.972423-1 1.450284+2 2.018366-1 1.361413+2 2.065380-1 1.277993+2 2.089296-1 1.238235+2 2.162719-1 1.126236+2 2.213095-1 1.057263+2 2.264644-1 9.931424+1 2.290868-1 9.625560+1 2.317395-1 9.329134+1 2.344229-1 9.041967+1 2.371374-1 8.763646+1 2.398833-1 8.493989+1 2.426610-1 8.232652+1 2.454709-1 7.979414+1 2.511886-1 7.496098+1 2.540973-1 7.265534+1 2.570396-1 7.042091+1 2.600160-1 6.825792+1 2.660725-1 6.412946+1 2.691535-1 6.215994+1 2.722701-1 6.027359+1 2.754229-1 5.844451+1 2.818383-1 5.495140+1 2.884032-1 5.166719+1 2.917427-1 5.009966+1 2.951209-1 4.857971+1 3.000060-1 4.649190+1 3.019952-1 4.567727+1 3.054921-1 4.431057+1 3.090295-1 4.298528+1 3.126079-1 4.170019+1 3.162278-1 4.045536+1 3.198895-1 3.924776+1 3.235937-1 3.807620+1 3.273407-1 3.693975+1 3.311311-1 3.583725+1 3.388442-1 3.373001+1 3.427678-1 3.272340+1 3.467369-1 3.174717+1 3.507519-1 3.080010+1 3.548134-1 2.989747+1 3.630781-1 2.817148+1 3.672823-1 2.734632+1 3.758374-1 2.577056+1 3.801894-1 2.501708+1 3.981072-1 2.221826+1 4.000000-1 2.194854+1 4.027170-1 2.157671+1 4.073803-1 2.095884+1 4.120975-1 2.035901+1 4.168694-1 1.977634+1 4.216965-1 1.921037+1 4.415705-1 1.710878+1 4.466836-1 1.662036+1 4.518559-1 1.614616+1 4.623810-1 1.525521+1 4.677351-1 1.482836+1 4.786301-1 1.401096+1 4.841724-1 1.362019+1 4.897788-1 1.324033+1 4.954502-1 1.287107+1 5.011872-1 1.251214+1 5.069907-1 1.216340+1 5.128614-1 1.183160+1 5.188000-1 1.150899+1 5.308844-1 1.088993+1 5.370318-1 1.059320+1 5.432503-1 1.030455+1 5.495409-1 1.002443+1 5.559043-1 9.751956+0 5.623413-1 9.487022+0 5.688529-1 9.229378+0 5.754399-1 8.984688+0 5.821032-1 8.746487+0 5.956621-1 8.288873+0 6.000000-1 8.149689+0 6.025596-1 8.069126+0 6.095369-1 7.855383+0 6.165950-1 7.647806+0 6.237348-1 7.445893+0 6.309573-1 7.249317+0 6.382635-1 7.057932+0 6.456542-1 6.876118+0 6.531306-1 6.698987+0 6.606935-1 6.526423+0 6.683439-1 6.358322+0 6.760830-1 6.194980+0 6.839117-1 6.036007+0 6.998420-1 5.730328+0 7.079458-1 5.583346+0 7.161434-1 5.440139+0 7.244360-1 5.304101+0 7.328245-1 5.171482+0 7.413102-1 5.042178+0 7.498942-1 4.916156+0 7.585776-1 4.793617+0 7.673615-1 4.674232+0 7.762471-1 4.557823+0 7.852356-1 4.444369+0 8.035261-1 4.225868+0 8.128305-1 4.123331+0 8.413951-1 3.830525+0 8.511380-1 3.737672+0 8.609938-1 3.647303+0 8.709636-1 3.559207+0 8.912509-1 3.389375+0 9.015711-1 3.309882+0 9.120108-1 3.232255+0 9.225714-1 3.156530+0 9.332543-1 3.082591+0 9.440609-1 3.010395+0 9.549926-1 2.939892+0 9.660509-1 2.871107+0 9.772372-1 2.804236+0 9.885531-1 2.738966+0 1.000000+0 2.677122+0 1.011579+0 2.616679+0 1.023293+0 2.557597+0 1.035142+0 2.499879+0 1.047129+0 2.443461+0 1.059254+0 2.388321+0 1.071519+0 2.334454+0 1.083927+0 2.281980+0 1.096478+0 2.230689+0 1.109175+0 2.180550+0 1.122018+0 2.131563+0 1.135011+0 2.083672+0 1.148154+0 2.036859+0 1.161449+0 1.992163+0 1.174898+0 1.948470+0 1.202264+0 1.863961+0 1.216186+0 1.823089+0 1.244515+0 1.744366+0 1.250000+0 1.729722+0 1.258925+0 1.706291+0 1.273503+0 1.669045+0 1.288250+0 1.632631+0 1.318257+0 1.564119+0 1.333521+0 1.530951+0 1.348963+0 1.498497+0 1.364583+0 1.466733+0 1.396368+0 1.405451+0 1.412538+0 1.375775+0 1.428894+0 1.346740+0 1.462177+0 1.290504+0 1.479108+0 1.264062+0 1.513561+0 1.212794+0 1.531087+0 1.187950+0 1.640590+0 1.049761+0 1.678804+0 1.008562+0 1.698244+0 9.885811-1 1.717908+0 9.690008-1 1.737801+0 9.498076-1 1.798871+0 8.947299-1 1.819701+0 8.770897-1 1.840772+0 8.597976-1 1.862087+0 8.428464-1 1.883649+0 8.266996-1 1.905461+0 8.108620-1 1.927525+0 7.953359-1 1.949845+0 7.801099-1 1.972423+0 7.651761-1 2.018366+0 7.362920-1 2.044000+0 7.209258-1 2.089296+0 6.949968-1 2.113489+0 6.817530-1 2.162719+0 6.567321-1 2.187762+0 6.445740-1 2.213095+0 6.326435-1 2.238721+0 6.209343-1 2.290868+0 5.982655-1 2.317395+0 5.872435-1 2.371374+0 5.658050-1 2.398833+0 5.553812-1 2.454709+0 5.356816-1 2.511886+0 5.166900-1 2.540973+0 5.074500-1 2.570396+0 4.983755-1 2.630268+0 4.807923-1 2.660725+0 4.722347-1 2.722701+0 4.555739-1 2.754229+0 4.474650-1 2.818383+0 4.321307-1 2.884032+0 4.173287-1 2.917427+0 4.101207-1 2.951209+0 4.030372-1 3.019952+0 3.892999-1 3.054921+0 3.826080-1 3.126079+0 3.695673-1 3.162278+0 3.632144-1 3.235937+0 3.511851-1 3.311311+0 3.395597-1 3.349654+0 3.338933-1 3.427678+0 3.228426-1 3.507519+0 3.122067-1 3.548134+0 3.070209-1 3.630781+0 2.969063-1 3.672823+0 2.919747-1 3.758374+0 2.826231-1 3.845918+0 2.735752-1 3.890451+0 2.691615-1 4.000000+0 2.588063-1 4.120975+0 2.481829-1 4.168694+0 2.441958-1 4.265795+0 2.364128-1 4.315191+0 2.326148-1 4.415704+0 2.254037-1 4.518559+0 2.184193-1 4.570882+0 2.150094-1 4.677351+0 2.083486-1 4.841724+0 1.987832-1 4.897788+0 1.956935-1 5.011872+0 1.896572-1 5.069907+0 1.867092-1 5.188000+0 1.811123-1 5.308844+0 1.756855-1 5.370318+0 1.730340-1 5.495409+0 1.678505-1 5.688529+0 1.603975-1 5.754399+0 1.579874-1 5.888437+0 1.532754-1 6.025596+0 1.487039-1 6.095369+0 1.465359-1 6.237348+0 1.422964-1 6.309573+0 1.402232-1 6.456542+0 1.361672-1 6.760830+0 1.284348-1 6.839116+0 1.265714-1 7.079458+0 1.211416-1 7.413102+0 1.142625-1 7.498942+0 1.126454-1 7.762471+0 1.079319-1 7.852356+0 1.064053-1 8.000000+0 1.039809-1 8.035261+0 1.034188-1 8.222427+0 1.005265-1 8.317638+0 9.911085-2 8.511380+0 9.633905-2 8.912509+0 9.102581-2 9.015711+0 8.977641-2 9.440609+0 8.494995-2 9.549926+0 8.378467-2 9.772372+0 8.150187-2 9.885531+0 8.038810-2 1.011579+1 7.820680-2 1.023293+1 7.713838-2 1.047129+1 7.504518-2 1.096478+1 7.102777-2 1.109175+1 7.008010-2 1.174898+1 6.552988-2 1.202264+1 6.379400-2 1.230269+1 6.210402-2 1.244515+1 6.127878-2 1.273503+1 5.966158-2 1.288250+1 5.886902-2 1.318257+1 5.731540-2 1.380384+1 5.433011-2 1.400000+1 5.346715-2 1.500000+1 4.944259-2 1.531087+1 4.830571-2 1.566751+1 4.706066-2 1.584893+1 4.645221-2 1.621810+1 4.525914-2 1.640590+1 4.467414-2 1.678804+1 4.352675-2 1.778279+1 4.078554-2 1.819701+1 3.976033-2 1.949845+1 3.683779-2 2.000000+1 3.581830-2 2.041738+1 3.501006-2 2.065380+1 3.456877-2 2.113489+1 3.370304-2 2.137962+1 3.327834-2 2.162719+1 3.285898-2 2.238721+1 3.163238-2 2.371374+1 2.968894-2 2.400000+1 2.930645-2 2.426610+1 2.895932-2 2.600160+1 2.687687-2 2.691535+1 2.589264-2 2.786121+1 2.494445-2 2.800000+1 2.481093-2 2.851018+1 2.433306-2 2.917427+1 2.373716-2 2.951209+1 2.344470-2 3.019952+1 2.287055-2 3.054921+1 2.258878-2 3.235937+1 2.123112-2 3.311311+1 2.071981-2 3.672823+1 1.856761-2 3.845918+1 1.768439-2 4.027170+1 1.684319-2 4.073803+1 1.663923-2 4.168694+1 1.623961-2 4.265795+1 1.584966-2 4.315191+1 1.565821-2 4.365158+1 1.546908-2 4.415704+1 1.528223-2 4.677351+1 1.438129-2 4.786301+1 1.404089-2 4.841724+1 1.387377-2 5.559043+1 1.201685-2 5.888437+1 1.131858-2 6.165950+1 1.078930-2 6.237348+1 1.066089-2 6.309573+1 1.053402-2 6.456542+1 1.028528-2 6.606934+1 1.004246-2 6.683439+1 9.923205-3 6.760830+1 9.805367-3 6.839116+1 9.688930-3 7.161434+1 9.236840-3 7.413102+1 8.915628-3 7.498942+1 8.811079-3 9.120108+1 7.210094-3 1.011579+2 6.483948-3 1.083927+2 6.040946-3 1.096478+2 5.970115-3 1.109175+2 5.900116-3 1.122018+2 5.831023-3 1.135011+2 5.762749-3 1.174898+2 5.562719-3 1.202264+2 5.433244-3 1.230269+2 5.306775-3 1.273503+2 5.122576-3 1.288250+2 5.063152-3 1.333521+2 4.888993-3 1.348963+2 4.832286-3 1.778279+2 3.652205-3 2.018366+2 3.212374-3 2.162719+2 2.995217-3 2.187762+2 2.960480-3 2.213095+2 2.926147-3 2.238721+2 2.892236-3 2.264644+2 2.858723-3 2.344229+2 2.760503-3 2.398833+2 2.696905-3 2.454709+2 2.634773-3 2.540973+2 2.544247-3 2.570396+2 2.514923-3 2.660725+2 2.428963-3 2.691535+2 2.400970-3 3.548134+2 1.817885-3 4.027170+2 1.600267-3 4.315191+2 1.492754-3 4.365158+2 1.475551-3 4.415704+2 1.458547-3 4.466836+2 1.441746-3 4.518559+2 1.425141-3 4.677351+2 1.376465-3 4.786301+2 1.344942-3 4.897788+2 1.314140-3 5.069907+2 1.269256-3 5.128614+2 1.254696-3 5.308844+2 1.212010-3 5.370318+2 1.198107-3 1.412538+3 4.545859-4 1.603245+3 4.004075-4 1.717908+3 3.736285-4 1.737801+3 3.693427-4 1.757924+3 3.651062-4 1.778279+3 3.609194-4 3.589219+3 1.785955-4 3.715352+3 1.725220-4 3.801894+3 1.685881-4 3.890451+3 1.647439-4 4.027170+3 1.591414-4 4.073803+3 1.573194-4 4.216965+3 1.519777-4 4.265795+3 1.502378-4 1.000000+5 6.405987-6 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.480000-6 5.480000-6 9.760000-6 5.480000-6 9.760000-6 8.650360-6 1.094000-5 8.894779-6 1.094000-5 9.717079-6 1.258925-5 9.895380-6 1.445440-5 1.002328-5 1.698244-5 1.010451-5 2.270000-5 1.014984-5 2.906000-5 1.017019-5 2.906000-5 2.726217-5 3.162278-5 2.597119-5 3.427678-5 2.445720-5 3.473000-5 2.418399-5 3.473000-5 2.886074-5 4.677351-5 2.178734-5 4.954502-5 2.025581-5 5.069907-5 1.965866-5 5.370318-5 1.822400-5 5.495409-5 1.768344-5 5.673000-5 1.697268-5 5.673000-5 1.723417-5 5.850000-5 1.658630-5 6.070000-5 1.587913-5 6.309573-5 1.521457-5 6.531306-5 1.469188-5 6.800000-5 1.415642-5 7.079458-5 1.369791-5 7.328245-5 1.336124-5 7.673615-5 1.297923-5 7.943282-5 1.274067-5 8.317638-5 1.247072-5 8.810489-5 1.220435-5 9.500000-5 1.193956-5 1.035142-4 1.172426-5 1.122018-4 1.157678-5 1.260000-4 1.142949-5 1.462177-4 1.131757-5 1.722600-4 1.125471-5 1.722600-4 1.227456-5 1.760000-4 1.255239-5 1.802500-4 1.288571-5 1.802500-4 1.358645-5 1.845000-4 1.395028-5 1.875000-4 1.413783-5 1.908000-4 1.424543-5 1.945000-4 1.424305-5 1.985000-4 1.413034-5 2.050000-4 1.382323-5 2.137962-4 1.337446-5 2.220000-4 1.301023-5 2.290868-4 1.277036-5 2.373000-4 1.258238-5 2.454709-4 1.248731-5 2.550000-4 1.246868-5 2.660725-4 1.254804-5 2.786121-4 1.273052-5 2.951209-4 1.306335-5 3.129700-4 1.349080-5 3.129700-4 1.580941-5 3.570400-4 1.705527-5 3.570400-4 1.772932-5 4.073803-4 1.918342-5 4.368500-4 1.997857-5 4.368500-4 2.139580-5 4.897788-4 2.278960-5 5.500000-4 2.416970-5 6.100000-4 2.537743-5 6.760830-4 2.652155-5 7.585776-4 2.775912-5 8.511380-4 2.894136-5 9.700000-4 3.020764-5 1.083927-3 3.123252-5 1.244515-3 3.244196-5 1.412000-3 3.349260-5 1.412000-3 4.906185-5 1.455000-3 4.914210-5 1.455000-3 5.200890-5 1.523000-3 5.308940-5 1.570000-3 5.345278-5 1.796200-3 5.355949-5 1.796200-3 5.771922-5 1.991800-3 5.817632-5 1.991800-3 6.019262-5 2.188900-3 6.083802-5 2.188900-3 6.295714-5 2.851018-3 6.530875-5 3.715352-3 6.778889-5 4.731513-3 7.010519-5 5.888437-3 7.221693-5 7.413102-3 7.441584-5 8.347400-3 7.552613-5 8.347400-3 9.956145-5 9.274800-3 9.994697-5 9.274800-3 1.057988-4 9.716200-3 1.059629-4 9.716200-3 1.113380-4 1.396368-2 1.137039-4 2.065380-2 1.162358-4 2.951209-2 1.185417-4 4.265795-2 1.208384-4 5.757400-2 1.226003-4 5.757400-2 1.172699-4 1.584893-1 1.178767-4 5.821032-1 1.182503-4 1.000000+5 1.182911-4 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.480000-6 0.0 1.802500-4 0.0 1.802500-4 7.28008-10 1.809000-4 7.45351-10 1.820000-4 7.82890-10 1.830000-4 8.23863-10 1.845000-4 8.93664-10 1.856000-4 9.48875-10 1.875000-4 1.046521-9 1.885000-4 1.096101-9 1.895000-4 1.141763-9 1.905461-4 1.184661-9 1.915000-4 1.218422-9 1.927525-4 1.253842-9 1.935000-4 1.271065-9 1.945000-4 1.288099-9 1.957000-4 1.300810-9 1.969000-4 1.305946-9 1.980000-4 1.304567-9 1.995262-4 1.294840-9 2.010000-4 1.278411-9 2.030000-4 1.248161-9 2.050000-4 1.211478-9 2.080000-4 1.149099-9 2.100000-4 1.107226-9 2.190000-4 9.12930-10 2.220000-4 8.52625-10 2.264644-4 7.71752-10 2.290868-4 7.28027-10 2.330000-4 6.71085-10 2.365000-4 6.28045-10 2.400000-4 5.92664-10 2.430000-4 5.67745-10 2.454709-4 5.50819-10 2.483133-4 5.35121-10 2.511886-4 5.23092-10 2.540973-4 5.14859-10 2.570396-4 5.10275-10 2.600160-4 5.08886-10 2.635000-4 5.11311-10 2.660725-4 5.15207-10 2.691535-4 5.22600-10 2.730000-4 5.35698-10 2.770000-4 5.53232-10 2.818383-4 5.78666-10 2.884032-4 6.19681-10 2.951209-4 6.68321-10 3.054921-4 7.51956-10 3.129700-4 8.17382-10 3.129700-4 1.658330-9 3.311311-4 1.841914-9 3.570400-4 2.119215-9 3.570400-4 2.573450-9 3.935501-4 2.998404-9 4.265795-4 3.366173-9 4.368500-4 3.475316-9 4.368500-4 4.028576-9 4.731513-4 4.426245-9 4.954502-4 4.652975-9 5.248075-4 4.937118-9 5.688529-4 5.331361-9 6.025596-4 5.609678-9 6.456542-4 5.935957-9 7.000000-4 6.307274-9 7.762471-4 6.765963-9 8.511380-4 7.160681-9 9.225714-4 7.490882-9 1.000000-3 7.811361-9 1.059254-3 8.038931-9 1.161449-3 8.383359-9 1.273503-3 8.716543-9 1.380384-3 9.001399-9 1.412000-3 9.081240-9 1.412000-3 9.678568-9 1.455000-3 9.711462-9 1.455000-3 2.560544-6 1.468000-3 2.774029-6 1.500000-3 3.163405-6 1.519000-3 3.404842-6 1.523000-3 3.447360-6 1.531300-3 3.518070-6 1.550000-3 3.643338-6 1.555000-3 3.669422-6 1.570000-3 3.724371-6 1.580000-3 3.736478-6 1.796200-3 3.589805-6 1.991800-3 3.573593-6 1.991800-3 3.948009-6 2.188900-3 3.976008-6 2.188900-3 4.107126-6 2.691535-3 4.194336-6 3.589219-3 4.315686-6 4.800000-3 4.440691-6 6.309573-3 4.559301-6 8.000000-3 4.661031-6 8.347400-3 4.680157-6 8.347400-3 9.477781-4 8.609938-3 9.501555-4 9.274800-3 9.488867-4 9.274800-3 1.249011-3 9.716200-3 1.251983-3 9.716200-3 1.324583-3 1.303167-2 1.341275-3 1.950000-2 1.356663-3 3.090295-2 1.369119-3 5.559043-2 1.380815-3 5.757400-2 1.381308-3 5.757400-2 4.027625-2 6.683439-2 4.057416-2 8.709636-2 4.095578-2 1.258925-1 4.127442-2 2.065380-1 4.150438-2 6.309573-1 4.175937-2 1.244515+0 4.188564-2 1.000000+5 4.187463-2 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.480000-6 0.0 9.760000-6 4.280000-6 9.760000-6 1.109640-6 1.094000-5 2.045221-6 1.094000-5 1.222921-6 1.165000-5 1.849199-6 1.230269-5 2.433405-6 1.310000-5 3.161753-6 1.420000-5 4.189677-6 1.566751-5 5.595372-6 1.830000-5 8.176307-6 2.906000-5 1.888981-5 2.906000-5 1.797826-6 3.000000-5 3.189871-6 3.054921-5 4.015525-6 3.162278-5 5.651585-6 3.311311-5 7.973174-6 3.473000-5 1.054601-5 3.473000-5 5.869262-6 3.715352-5 9.714091-6 4.677351-5 2.498617-5 5.011872-5 3.016234-5 5.400000-5 3.590761-5 5.673000-5 3.975732-5 5.673000-5 3.949583-5 5.970000-5 4.351150-5 6.400000-5 4.900879-5 6.900000-5 5.501886-5 7.585776-5 6.278954-5 8.650000-5 7.421817-5 1.047129-4 9.301227-5 1.603245-4 1.490469-4 1.722600-4 1.610053-4 1.722600-4 1.599854-4 1.802500-4 1.673643-4 1.802500-4 1.666628-4 1.927525-4 1.784936-4 2.400000-4 2.274577-4 2.951209-4 2.820569-4 3.129700-4 2.994784-4 3.129700-4 2.971589-4 3.570400-4 3.399826-4 3.570400-4 3.393081-4 4.368500-4 4.168679-4 4.368500-4 4.154502-4 7.413102-4 7.137919-4 1.412000-3 1.378498-3 1.412000-3 1.362928-3 1.455000-3 1.405848-3 1.455000-3 1.400431-3 1.717908-3 1.660740-3 1.796200-3 1.739051-3 1.796200-3 1.734889-3 1.991800-3 1.930050-3 1.991800-3 1.927659-3 2.188900-3 2.124086-3 2.188900-3 2.121836-3 8.347400-3 8.267194-3 8.347400-3 7.300060-3 9.274800-3 8.225966-3 9.274800-3 7.919990-3 9.716200-3 8.358254-3 9.716200-3 8.280279-3 3.427678-2 3.278570-2 5.757400-2 5.607009-2 5.757400-2 1.718048-2 5.970000-2 1.919853-2 6.237348-2 2.179941-2 8.317638-2 4.215733-2 1.364583-1 9.501386-2 2.570396+0 2.528398+0 1.000000+5 9.999996+4 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 5.757400-2 3.272110+3 5.850000-2 3.151480+3 5.895000-2 3.087820+3 5.970000-2 2.999500+3 6.100000-2 2.830380+3 6.350000-2 2.564200+3 7.000000-2 1.986948+3 7.852356-2 1.477134+3 8.709636-2 1.122487+3 1.071519-1 6.438812+2 1.364583-1 3.334030+2 2.213095-1 8.864401+1 2.691535-1 5.218245+1 3.019952-1 3.836847+1 3.507519-1 2.589159+1 4.000000-1 1.846291+1 4.518559-1 1.359127+1 5.069907-1 1.024520+1 5.688529-1 7.778976+0 6.382635-1 5.952972+0 7.161434-1 4.591182+0 8.035261-1 3.568684+0 8.912509-1 2.864198+0 9.885531-1 2.316306+0 1.148154+0 1.723108+0 1.288250+0 1.381088+0 1.462177+0 1.091471+0 1.640590+0 8.877798-1 1.862087+0 7.128092-1 2.113489+0 5.765756-1 2.398833+0 4.696924-1 2.754229+0 3.784331-1 3.162278+0 3.071800-1 3.672823+0 2.469331-1 4.315191+0 1.967316-1 5.069907+0 1.579075-1 6.025596+0 1.257656-1 7.413102+0 9.663631-2 8.912509+0 7.698406-2 1.096478+1 6.007077-2 1.380384+1 4.594885-2 1.778279+1 3.449368-2 2.371374+1 2.510884-2 3.235937+1 1.795587-2 4.677351+1 1.216292-2 7.161434+1 7.812146-3 1.273503+2 4.332566-3 2.540973+2 2.151970-3 5.069907+2 1.073540-3 4.027170+3 1.345970-4 1.000000+5 5.418500-6 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 5.757400-2 1.160400-4 1.000000+5 1.160400-4 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.757400-2 4.925100-2 1.000000+5 4.925100-2 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.757400-2 8.206960-3 1.000000+5 9.999995+4 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 9.716200-3 1.250304+4 9.885531-3 1.205539+4 1.040000-2 1.107210+4 1.071519-2 1.055175+4 1.161449-2 9.141671+3 1.258925-2 7.952787+3 1.350000-2 6.991140+3 1.540000-2 5.459780+3 1.950000-2 3.426760+3 2.162719-2 2.769275+3 2.511886-2 2.024886+3 2.985383-2 1.392762+3 3.349654-2 1.078391+3 3.890451-2 7.680297+2 4.570882-2 5.279897+2 5.370318-2 3.598270+2 6.382635-2 2.364413+2 7.585776-2 1.540371+2 9.015711-2 9.956752+1 1.096478-1 6.024223+1 1.364583-1 3.407406+1 2.570396-1 6.438579+0 3.126079-1 3.875212+0 3.672823-1 2.568266+0 4.216965-1 1.817336+0 4.786301-1 1.332648+0 5.432503-1 9.844625-1 6.095369-1 7.526855-1 6.683439-1 6.105567-1 7.498942-1 4.734238-1 8.511380-1 3.606878-1 9.660509-1 2.767747-1 1.071519+0 2.248278-1 1.216186+0 1.755668-1 1.364583+0 1.412557-1 1.531087+0 1.144460-1 1.737801+0 9.149565-2 1.972423+0 7.371240-2 2.238721+0 5.982088-2 2.570396+0 4.800766-2 2.951209+0 3.882293-2 3.427678+0 3.109659-2 4.000000+0 2.492900-2 4.677351+0 2.006861-2 5.495409+0 1.616654-2 6.456542+0 1.311598-2 8.000000+0 1.001600-2 9.772372+0 7.850122-3 1.230269+1 5.981758-3 1.566751+1 4.532824-3 2.041738+1 3.372192-3 2.800000+1 2.389700-3 4.073803+1 1.602786-3 6.309573+1 1.014785-3 1.109175+2 5.684166-4 2.213095+2 2.819477-4 4.415704+2 1.405795-4 1.757924+3 3.517555-5 1.000000+5 6.175300-7 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 9.716200-3 1.456700-4 1.000000+5 1.456700-4 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 9.716200-3 1.788300-3 1.000000+5 1.788300-3 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 9.716200-3 7.782230-3 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 9.274800-3 2.453336+4 9.550000-3 2.303600+4 1.011579-2 1.994300+4 1.174898-2 1.349400+4 1.303167-2 1.020800+4 1.579600-2 6.002400+3 1.800000-2 4.171000+3 2.264644-2 2.155800+3 2.818383-2 1.133100+3 3.507519-2 5.881700+2 4.315191-2 3.129300+2 5.370318-2 1.594000+2 7.000000-2 6.980200+1 1.288250-1 1.031322+1 1.650000-1 4.776180+0 1.972423-1 2.759825+0 2.317395-1 1.693236+0 2.691535-1 1.083346+0 3.090295-1 7.226230-1 3.507519-1 5.021001-1 3.981072-1 3.515442-1 4.466836-1 2.560760-1 5.011872-1 1.879274-1 5.559043-1 1.432522-1 6.165950-1 1.099383-1 6.839117-1 8.496941-2 7.762471-1 6.240888-2 8.413951-1 5.161141-2 9.120108-1 4.299412-2 9.772372-1 3.701261-2 1.059254+0 3.133560-2 1.161449+0 2.608965-2 1.273503+0 2.187259-2 1.412538+0 1.807867-2 1.678804+0 1.329051-2 1.905461+0 1.068168-2 2.162719+0 8.650990-3 2.454709+0 7.056425-3 2.818383+0 5.692807-3 3.235937+0 4.626435-3 3.758374+0 3.723281-3 4.415704+0 2.969533-3 5.188000+0 2.386012-3 6.095369+0 1.930855-3 7.498942+0 1.484325-3 9.015711+0 1.182992-3 1.109175+1 9.234581-4 1.400000+1 7.045200-4 1.819701+1 5.238738-4 2.426610+1 3.815929-4 3.311311+1 2.730323-4 4.786301+1 1.850219-4 7.413102+1 1.174778-4 1.333521+2 6.442477-5 2.660725+2 3.201151-5 5.308844+2 1.597418-5 4.216965+3 2.003119-6 1.000000+5 8.443700-8 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 9.274800-3 1.214300-4 1.000000+5 1.214300-4 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 9.274800-3 2.050700-3 1.000000+5 2.050700-3 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 9.274800-3 7.102670-3 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 8.347400-3 5.437853+4 8.609938-3 5.049339+4 9.120108-3 4.333826+4 1.060000-2 2.869620+4 1.190000-2 2.069076+4 1.566751-2 9.335435+3 1.698244-2 7.352242+3 2.065380-2 4.082745+3 2.540973-2 2.160207+3 3.090295-2 1.170822+3 3.758374-2 6.282412+2 4.570882-2 3.341029+2 5.623413-2 1.697725+2 7.161434-2 7.641759+1 1.445440-1 7.376248+0 1.757924-1 3.872332+0 2.065380-1 2.291128+0 2.371374-1 1.470901+0 2.691535-1 9.863169-1 3.054921-1 6.662844-1 3.427678-1 4.698792-1 3.801894-1 3.454818-1 4.216965-1 2.557955-1 4.677351-1 1.907983-1 5.128614-1 1.480260-1 5.623413-1 1.156306-1 6.165950-1 9.091633-2 6.760830-1 7.195408-2 7.413102-1 5.732064-2 8.128305-1 4.597745-2 9.120108-1 3.520590-2 9.660509-1 3.094892-2 1.023293+0 2.738187-2 1.109175+0 2.323592-2 1.216186+0 1.940792-2 1.333521+0 1.633814-2 1.513561+0 1.301330-2 1.737801+0 1.019458-2 1.972423+0 8.208598-3 2.238721+0 6.661209-3 2.570396+0 5.345778-3 2.951209+0 4.323143-3 3.427678+0 3.462796-3 4.000000+0 2.776000-3 4.677351+0 2.234758-3 5.495409+0 1.800195-3 6.456542+0 1.460496-3 8.035261+0 1.109252-3 9.885531+0 8.621805-4 1.244515+1 6.572495-4 1.584893+1 4.982359-4 2.065380+1 3.707691-4 2.851018+1 2.609880-4 4.168694+1 1.741964-4 6.456542+1 1.103405-4 1.135011+2 6.182730-5 2.264644+2 3.067509-5 4.518559+2 1.529564-5 3.589219+3 1.916720-6 1.000000+5 6.876500-8 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 8.347400-3 1.136300-4 1.000000+5 1.136300-4 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 8.347400-3 1.499800-3 1.000000+5 1.499800-3 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 8.347400-3 6.733970-3 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.188900-3 3.697618+4 2.317395-3 3.455204+4 2.454709-3 3.199166+4 2.600160-3 2.970014+4 2.754229-3 2.737128+4 3.349654-3 2.049374+4 3.715352-3 1.752513+4 4.027170-3 1.539744+4 4.897788-3 1.113118+4 5.500000-3 9.102940+3 6.382635-3 6.994178+3 7.673615-3 4.987551+3 8.810489-3 3.842218+3 1.023293-2 2.878309+3 1.202264-2 2.092899+3 1.428894-2 1.475193+3 1.698244-2 1.031069+3 2.000000-2 7.288480+2 2.344229-2 5.166867+2 2.754229-2 3.617861+2 3.235937-2 2.514564+2 3.801894-2 1.734756+2 4.500000-2 1.167638+2 5.308844-2 7.858798+1 6.309573-2 5.156800+1 7.498942-2 3.358508+1 9.015711-2 2.109596+1 1.096478-1 1.277136+1 1.445440-1 6.229146+0 2.426610-1 1.598129+0 3.000060-1 9.215589-1 3.548134-1 6.000944-1 4.073803-1 4.242632-1 4.677351-1 3.022111-1 5.308844-1 2.230342-1 6.025596-1 1.658554-1 6.760830-1 1.276453-1 7.585776-1 9.893400-2 8.609938-1 7.534564-2 9.549926-1 6.074267-2 1.071519+0 4.824109-2 1.216186+0 3.767892-2 1.364583+0 3.030734-2 1.531087+0 2.454637-2 1.737801+0 1.962373-2 1.972423+0 1.581027-2 2.238721+0 1.283050-2 2.570396+0 1.029668-2 2.951209+0 8.326713-3 3.427678+0 6.669524-3 4.000000+0 5.346700-3 4.677351+0 4.304318-3 5.495409+0 3.467358-3 6.456542+0 2.813002-3 8.000000+0 2.148200-3 9.772372+0 1.683685-3 1.230269+1 1.282994-3 1.566751+1 9.722118-4 2.041738+1 7.232688-4 2.800000+1 5.125500-4 4.073803+1 3.437568-4 6.309573+1 2.176419-4 1.122018+2 1.204917-4 2.238721+2 5.977344-5 4.466836+2 2.980416-5 1.778279+3 7.457940-6 1.000000+5 1.324500-7 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.188900-3 1.114600-4 1.000000+5 1.114600-4 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.188900-3 7.108200-6 1.000000+5 7.108200-6 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.188900-3 2.070332-3 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 1.991800-3 5.963247+4 2.137962-3 5.528826+4 2.290868-3 5.119556+4 2.426610-3 4.759975+4 2.660725-3 4.201413+4 2.917427-3 3.680704+4 3.162278-3 3.254232+4 3.450000-3 2.826460+4 3.715352-3 2.488780+4 4.300000-3 1.918020+4 4.650000-3 1.656442+4 5.308844-3 1.278452+4 5.821032-3 1.061341+4 6.606934-3 8.135227+3 7.300000-3 6.559300+3 8.413951-3 4.775732+3 9.332543-3 3.762143+3 1.059254-2 2.790342+3 1.202264-2 2.051863+3 1.350000-2 1.538450+3 1.531087-2 1.117612+3 1.757924-2 7.805963+2 2.018366-2 5.408547+2 2.317395-2 3.719023+2 2.691535-2 2.458690+2 3.126079-2 1.612590+2 3.672823-2 1.015697+2 4.315191-2 6.349212+1 5.128614-2 3.809643+1 6.237348-2 2.117505+1 7.943282-2 1.016425+1 1.548817-1 1.314118+0 1.927525-1 6.766915-1 2.317395-1 3.896841-1 2.691535-1 2.505613-1 3.090295-1 1.677972-1 3.507519-1 1.169589-1 3.981072-1 8.210928-2 4.466836-1 5.993785-2 5.011872-1 4.407398-2 5.559043-1 3.365184-2 6.165950-1 2.586963-2 6.839117-1 2.003039-2 7.585776-1 1.562025-2 8.609938-1 1.160594-2 9.225714-1 9.923806-3 9.885531-1 8.542310-3 1.071519+0 7.235147-3 1.174898+0 6.028165-3 1.288250+0 5.059151-3 1.428894+0 4.186093-3 1.698244+0 3.079955-3 1.927525+0 2.477053-3 2.187762+0 2.007727-3 2.511886+0 1.609315-3 2.884032+0 1.299973-3 3.311311+0 1.057681-3 3.845918+0 8.521548-4 4.518559+0 6.803710-4 5.308844+0 5.472374-4 6.237348+0 4.432989-4 7.762471+0 3.362294-4 9.440609+0 2.646118-4 1.174898+1 2.041121-4 1.500000+1 1.539900-4 1.949845+1 1.147494-4 2.600160+1 8.372342-5 3.672823+1 5.783179-5 5.559043+1 3.742555-5 9.120108+1 2.245518-5 1.778279+2 1.137573-5 3.548134+2 5.665640-6 1.412538+3 1.415903-6 1.000000+5 1.996900-8 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 1.991800-3 9.371000-5 1.000000+5 9.371000-5 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.991800-3 1.017200-5 1.000000+5 1.017200-5 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 1.991800-3 1.887918-3 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.796200-3 1.659262+5 1.920000-3 1.526964+5 1.950000-3 1.489965+5 2.162719-3 1.288646+5 2.540973-3 9.931095+4 2.818383-3 8.334378+4 3.090295-3 7.072878+4 3.349654-3 6.081506+4 3.900000-3 4.535920+4 4.216965-3 3.874884+4 4.900000-3 2.832520+4 5.370318-3 2.323846+4 6.165950-3 1.708267+4 6.839116-3 1.346521+4 7.762471-3 9.991312+3 8.810489-3 7.348784+3 9.885531-3 5.519641+3 1.122018-2 3.998116+3 1.273503-2 2.873451+3 1.450000-2 2.032428+3 1.650000-2 1.429072+3 1.862087-2 1.021095+3 2.113489-2 7.134263+2 2.400000-2 4.944920+2 2.754229-2 3.301492+2 3.162278-2 2.185593+2 3.672823-2 1.387443+2 4.265795-2 8.745391+1 5.011872-2 5.280951+1 5.956621-2 3.053355+1 7.328245-2 1.569014+1 9.885531-2 5.932906+0 1.513561-1 1.473584+0 1.862087-1 7.533781-1 2.213095-1 4.336976-1 2.540973-1 2.806570-1 2.884032-1 1.896002-1 3.235937-1 1.336131-1 3.630781-1 9.483114-2 4.027170-1 7.012681-2 4.466836-1 5.223363-2 4.954502-1 3.918743-2 5.495409-1 2.961812-2 6.025596-1 2.324803-2 6.606935-1 1.837528-2 7.244360-1 1.462318-2 8.035261-1 1.140084-2 8.709636-1 9.426335-3 9.332543-1 8.060076-3 9.885531-1 7.113653-3 1.071519+0 6.023230-3 1.174898+0 5.017686-3 1.288250+0 4.211173-3 1.428894+0 3.484928-3 1.698244+0 2.564166-3 1.927525+0 2.061984-3 2.187762+0 1.671062-3 2.511886+0 1.339265-3 2.884032+0 1.081688-3 3.311311+0 8.800730-4 3.845918+0 7.090905-4 4.518559+0 5.661497-4 5.308844+0 4.553637-4 6.237348+0 3.688736-4 7.762471+0 2.797843-4 9.440609+0 2.201909-4 1.174898+1 1.698466-4 1.500000+1 1.281400-4 1.949845+1 9.548172-5 2.600160+1 6.966836-5 3.672823+1 4.812278-5 5.559043+1 3.114322-5 9.120108+1 1.868529-5 1.778279+2 9.466112-6 3.548134+2 4.714468-6 1.412538+3 1.178222-6 1.000000+5 1.661700-8 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.796200-3 8.512900-5 1.000000+5 8.512900-5 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.796200-3 3.606800-6 1.000000+5 3.606800-6 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.796200-3 1.707464-3 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.455000-3 3.409257+5 1.468000-3 3.721138+5 1.477000-3 3.872985+5 1.480700-3 3.929671+5 1.519000-3 4.611793+5 1.523000-3 4.670277+5 1.531300-3 4.757569+5 1.550000-3 4.887249+5 1.555000-3 4.907079+5 1.566751-3 4.923537+5 1.570000-3 4.920008+5 1.580000-3 4.880160+5 1.972423-3 2.786426+5 2.162719-3 2.192887+5 2.400000-3 1.659320+5 2.660725-3 1.248183+5 3.019952-3 8.727074+4 3.273407-3 6.898575+4 3.801894-3 4.420916+4 4.216965-3 3.221272+4 4.800000-3 2.155216+4 5.432503-3 1.454229+4 6.095369-3 1.002694+4 7.000000-3 6.354400+3 7.852356-3 4.320536+3 8.912509-3 2.804946+3 1.023293-2 1.736471+3 1.174898-2 1.066373+3 1.348963-2 6.498539+2 1.548817-2 3.931305+2 1.778279-2 2.361450+2 2.041738-2 1.408959+2 2.371374-2 7.995686+1 2.800000-2 4.229280+1 3.311311-2 2.207308+1 4.073803-2 9.800687+0 5.188000-2 3.768038+0 9.549926-2 3.333181-1 1.174898-1 1.471878-1 1.396368-1 7.499610-2 1.621810-1 4.209120-2 1.883649-1 2.379391-2 2.162719-1 1.415915-2 2.454709-1 8.862994-3 2.754229-1 5.828963-3 3.090295-1 3.860753-3 3.427678-1 2.682071-3 3.801894-1 1.876465-3 4.216965-1 1.322923-3 4.623810-1 9.764322-4 5.011872-1 7.530352-4 5.495409-1 5.640497-4 6.237348-1 3.827914-4 6.839117-1 2.903103-4 7.413102-1 2.292741-4 8.511380-1 1.546597-4 9.015711-1 1.321731-4 9.440609-1 1.172976-4 9.885531-1 1.048012-4 1.035142+0 9.434412-5 1.096478+0 8.339021-5 1.161449+0 7.425699-5 1.244515+0 6.512821-5 1.348963+0 5.634365-5 1.531087+0 4.528117-5 1.819701+0 3.344133-5 2.018366+0 2.804244-5 2.290868+0 2.278856-5 2.630268+0 1.831183-5 3.019952+0 1.482563-5 3.507519+0 1.188962-5 4.120975+0 9.451696-6 4.841724+0 7.570511-6 5.688529+0 6.107648-6 6.760830+0 4.890354-6 8.222427+0 3.828051-6 1.011579+1 2.978006-6 1.273503+1 2.271999-6 1.621810+1 1.723563-6 2.113489+1 1.283371-6 2.917427+1 9.039660-7 4.265795+1 6.036626-7 6.606934+1 3.825246-7 1.174898+2 2.119118-7 2.344229+2 1.051741-7 4.677351+2 5.245208-8 3.715352+3 6.573665-9 1.000000+5 2.44140-10 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.455000-3 6.160500-5 1.000000+5 6.160500-5 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.455000-3 1.109900-5 1.000000+5 1.109900-5 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.455000-3 1.382296-3 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.412000-3 8.267231+5 1.800000-3 5.045544+5 2.000000-3 3.840456+5 2.220000-3 2.907810+5 2.454709-3 2.206491+5 2.722701-3 1.646574+5 3.019952-3 1.222955+5 3.300000-3 9.402660+4 3.801894-3 6.133460+4 4.168694-3 4.612990+4 4.800000-3 2.959794+4 5.500000-3 1.908582+4 6.095369-3 1.362215+4 7.000000-3 8.578980+3 8.000000-3 5.440650+3 8.912509-3 3.741158+3 1.011579-2 2.395854+3 1.174898-2 1.401798+3 1.364583-2 8.124766+2 1.584893-2 4.666588+2 1.840772-2 2.656811+2 2.113489-2 1.567970+2 2.426610-2 9.191958+1 2.818383-2 5.119487+1 3.388442-2 2.468621+1 4.073803-2 1.180652+1 5.069907-2 4.879328+0 9.332543-2 4.069913-1 1.161449-1 1.680948-1 1.364583-1 8.822913-2 1.566751-1 5.112020-2 1.778279-1 3.120685-2 2.018366-1 1.919432-2 2.264644-1 1.242708-2 2.511886-1 8.463471-3 2.754229-1 6.054513-3 3.019952-1 4.360085-3 3.311311-1 3.161352-3 3.630781-1 2.307574-3 4.027170-1 1.631908-3 4.415705-1 1.205811-3 4.786301-1 9.319503-4 5.069907-1 7.792283-4 5.495409-1 6.115367-4 5.956621-1 4.836501-4 6.456542-1 3.853019-4 6.998420-1 3.090505-4 7.673615-1 2.420701-4 8.709636-1 1.740046-4 9.225714-1 1.507184-4 9.772372-1 1.315067-4 1.023293+0 1.186600-4 1.083927+0 1.050268-4 1.161449+0 9.141613-5 1.250000+0 7.947466-5 1.364583+0 6.778448-5 1.819701+0 4.091809-5 2.044000+0 3.360715-5 2.317395+0 2.737730-5 2.660725+0 2.201562-5 3.054921+0 1.783781-5 3.548134+0 1.431344-5 4.168694+0 1.138470-5 4.897788+0 9.123793-6 5.754399+0 7.364494-6 6.839116+0 5.899635-6 8.317638+0 4.620011-6 1.023293+1 3.595734-6 1.288250+1 2.744268-6 1.640590+1 2.082610-6 2.162719+1 1.531595-6 3.019952+1 1.066297-6 4.365158+1 7.212625-7 6.760830+1 4.572389-7 1.202264+2 2.533884-7 2.398833+2 1.257872-7 4.786301+2 6.273678-8 3.801894+3 7.863399-9 1.000000+5 2.98860-10 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.412000-3 5.634000-5 1.000000+5 5.634000-5 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.412000-3 9.957800-9 1.000000+5 9.957800-9 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.412000-3 1.355650-3 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 4.368500-4 8.597031+4 4.820000-4 8.165140+4 5.754399-4 7.115865+4 6.200000-4 6.677340+4 6.606934-4 6.274964+4 7.800000-4 5.263000+4 8.413951-4 4.826501+4 9.440609-4 4.188952+4 1.059254-3 3.614418+4 1.174898-3 3.140225+4 1.350000-3 2.580540+4 1.531087-3 2.142305+4 1.757924-3 1.734520+4 2.065380-3 1.342503+4 2.400000-3 1.048960+4 2.754229-3 8.314890+3 3.235937-3 6.289508+3 3.845918-3 4.628237+3 4.570882-3 3.380671+3 5.432503-3 2.453130+3 6.606934-3 1.692822+3 8.000000-3 1.168864+3 9.660509-3 8.052891+2 1.161449-2 5.553426+2 1.396368-2 3.799347+2 1.678804-2 2.578290+2 2.000000-2 1.770360+2 2.371374-2 1.219182+2 2.818383-2 8.290464+1 3.349654-2 5.594081+1 3.981072-2 3.745476+1 4.731513-2 2.488622+1 5.559043-2 1.687012+1 6.683439-2 1.073272+1 8.035261-2 6.775693+0 9.772372-2 4.118811+0 1.230269-1 2.274561+0 1.566751-1 1.210841+0 2.398833-1 3.956427-1 2.951209-1 2.310141-1 3.507519-1 1.485041-1 4.073803-1 1.019883-1 4.677351-1 7.265172-2 5.308844-1 5.361912-2 6.025596-1 3.987500-2 6.760830-1 3.069360-2 7.585776-1 2.379306-2 8.609938-1 1.812200-2 9.549926-1 1.460925-2 1.071519+0 1.160049-2 1.216186+0 9.061034-3 1.364583+0 7.288632-3 1.531087+0 5.903288-3 1.737801+0 4.719467-3 1.972423+0 3.802270-3 2.238721+0 3.085552-3 2.570396+0 2.476195-3 2.951209+0 2.002488-3 3.427678+0 1.604007-3 4.000000+0 1.285900-3 4.677351+0 1.035172-3 5.495409+0 8.338761-4 6.456542+0 6.765243-4 8.000000+0 5.166300-4 9.772372+0 4.049182-4 1.230269+1 3.085442-4 1.566751+1 2.338110-4 2.041738+1 1.739411-4 2.800000+1 1.232700-4 4.027170+1 8.368117-5 6.237348+1 5.296933-5 1.096478+2 2.966649-5 2.187762+2 1.471322-5 4.365158+2 7.335895-6 1.737801+3 1.835404-6 1.000000+5 3.185300-8 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 4.368500-4 6.746700-5 1.000000+5 6.746700-5 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.368500-4 2.201400-8 1.000000+5 2.201400-8 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.368500-4 3.693610-4 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 3.570400-4 6.944442+4 3.890451-4 6.814334+4 4.518559-4 6.647369+4 4.841724-4 6.607260+4 5.248075-4 6.500025+4 5.688529-4 6.355543+4 6.100000-4 6.191800+4 6.531306-4 5.997213+4 7.000000-4 5.762160+4 7.585776-4 5.454905+4 8.222426-4 5.128251+4 8.810489-4 4.833879+4 9.549926-4 4.478590+4 1.047129-3 4.075145+4 1.135011-3 3.727339+4 1.244515-3 3.341076+4 1.364583-3 2.976483+4 1.500000-3 2.623600+4 1.659587-3 2.277241+4 1.840772-3 1.954726+4 2.041738-3 1.666840+4 2.264644-3 1.411278+4 2.511886-3 1.187690+4 2.851018-3 9.538199+3 3.198895-3 7.754279+3 3.589219-3 6.261145+3 4.073803-3 4.910501+3 4.623810-3 3.820883+3 5.248075-3 2.950709+3 6.000000-3 2.227060+3 6.839116-3 1.678052+3 7.762471-3 1.266528+3 8.810489-3 9.490410+2 1.000000-2 7.058940+2 1.135011-2 5.210968+2 1.288250-2 3.819908+2 1.462177-2 2.781095+2 1.678804-2 1.952053+2 1.927525-2 1.359594+2 2.213095-2 9.399382+1 2.540973-2 6.452337+1 2.951209-2 4.260209+1 3.427678-2 2.791078+1 4.027170-2 1.756496+1 4.786301-2 1.061069+1 5.688529-2 6.360279+0 7.079458-2 3.297786+0 9.440609-2 1.376526+0 1.548817-1 3.037978-1 1.927525-1 1.568128-1 2.317395-1 9.044916-2 2.722701-1 5.629910-2 3.126079-1 3.775902-2 3.548134-1 2.635503-2 4.027170-1 1.852811-2 4.518559-1 1.354332-2 5.069907-1 9.972925-3 5.688529-1 7.403527-3 6.382635-1 5.539831-3 7.079458-1 4.297339-3 7.852356-1 3.357570-3 8.709636-1 2.636054-3 9.332543-1 2.257097-3 1.000000+0 1.945976-3 1.096478+0 1.612624-3 1.202264+0 1.346110-3 1.318257+0 1.131663-3 1.479108+0 9.184664-4 1.717908+0 7.045102-4 1.949845+0 5.669538-4 2.213095+0 4.597630-4 2.511886+0 3.754530-4 2.884032+0 3.032539-4 3.311311+0 2.467286-4 3.845918+0 1.987882-4 4.518559+0 1.587145-4 5.308844+0 1.276607-4 6.237348+0 1.034160-4 7.762471+0 7.843551-5 9.440609+0 6.172912-5 1.174898+1 4.761548-5 1.500000+1 3.592300-5 1.949845+1 2.676769-5 2.600160+1 1.953070-5 3.672823+1 1.349116-5 5.559043+1 8.730751-6 9.120108+1 5.238274-6 1.778279+2 2.653746-6 3.548134+2 1.321669-6 1.412538+3 3.303119-7 1.000000+5 4.658400-9 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 3.570400-4 5.171200-5 1.000000+5 5.171200-5 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.570400-4 2.547400-8 1.000000+5 2.547400-8 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.570400-4 3.053025-4 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 3.129700-4 2.820988+5 3.427678-4 2.679138+5 3.900000-4 2.523500+5 4.265795-4 2.413303+5 4.623810-4 2.301249+5 5.069907-4 2.164451+5 5.500000-4 2.035360+5 5.956621-4 1.903474+5 6.456542-4 1.765074+5 7.161434-4 1.588188+5 7.800000-4 1.446012+5 8.511380-4 1.304462+5 9.500000-4 1.136928+5 1.035142-3 1.014748+5 1.150000-3 8.766640+4 1.273503-3 7.555998+4 1.428894-3 6.339113+4 1.603245-3 5.276452+4 1.800000-3 4.354600+4 2.018366-3 3.574826+4 2.264644-3 2.910737+4 2.540973-3 2.354092+4 2.884032-3 1.849360+4 3.300000-3 1.418284+4 3.758374-3 1.088648+4 4.265795-3 8.351185+3 4.841724-3 6.359266+3 5.500000-3 4.799000+3 6.309573-3 3.515060+3 7.161434-3 2.617633+3 8.222426-3 1.882296+3 9.440609-3 1.341761+3 1.071519-2 9.759263+2 1.216186-2 7.048187+2 1.380384-2 5.054463+2 1.566751-2 3.599285+2 1.778279-2 2.545311+2 2.041738-2 1.730959+2 2.344229-2 1.168096+2 2.691535-2 7.824486+1 3.090295-2 5.203957+1 3.589219-2 3.319690+1 4.168694-2 2.101960+1 4.897788-2 1.275084+1 5.821032-2 7.404985+0 7.079458-2 3.966803+0 8.709636-2 2.031660+0 1.621810-1 2.690854-1 1.972423-1 1.433033-1 2.317395-1 8.587934-2 2.660725-1 5.575747-2 3.019952-1 3.779218-2 3.388442-1 2.672118-2 3.801894-1 1.903272-2 4.216965-1 1.412291-2 4.677351-1 1.055534-2 5.128614-1 8.201213-3 5.688529-1 6.221893-3 6.237348-1 4.900524-3 6.839117-1 3.884890-3 7.498942-1 3.100137-3 8.511380-1 2.292631-3 9.120108-1 1.955795-3 9.772372-1 1.680116-3 1.047129+0 1.454656-3 1.148154+0 1.209438-3 1.258925+0 1.013056-3 1.396368+0 8.370965-4 1.678804+0 6.029665-4 1.905461+0 4.845520-4 2.162719+0 3.924233-4 2.454709+0 3.200748-4 2.818383+0 2.581958-4 3.235937+0 2.098152-4 3.758374+0 1.688513-4 4.415704+0 1.346731-4 5.188000+0 1.082114-4 6.095369+0 8.756484-5 7.498942+0 6.731705-5 9.015711+0 5.365028-5 1.109175+1 4.188065-5 1.400000+1 3.195100-5 1.819701+1 2.375796-5 2.400000+1 1.751500-5 3.235937+1 1.269036-5 4.677351+1 8.595519-6 7.161434+1 5.520956-6 1.288250+2 3.026166-6 2.570396+2 1.503244-6 5.128614+2 7.499748-7 4.073803+3 9.403068-8 1.000000+5 3.829300-9 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 3.129700-4 4.679600-5 1.000000+5 4.679600-5 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.129700-4 1.289700-8 1.000000+5 1.289700-8 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.129700-4 2.661611-4 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.802500-4 2.884388+5 1.809000-4 2.956976+5 1.819701-4 3.107896+5 1.830000-4 3.280228+5 1.862087-4 3.912190+5 1.873000-4 4.132200+5 1.885000-4 4.360920+5 1.895000-4 4.533120+5 1.905461-4 4.689744+5 1.915000-4 4.807760+5 1.926000-4 4.912280+5 1.935000-4 4.971960+5 1.945000-4 5.011840+5 1.957000-4 5.025480+5 1.969000-4 5.006080+5 1.980000-4 4.963440+5 1.995262-4 4.872846+5 2.010000-4 4.758880+5 2.030000-4 4.575760+5 2.050000-4 4.373240+5 2.070000-4 4.161880+5 2.100000-4 3.841768+5 2.137962-4 3.449134+5 2.187762-4 2.975989+5 2.290868-4 2.196373+5 2.330000-4 1.975016+5 2.365000-4 1.809592+5 2.400000-4 1.672368+5 2.430000-4 1.575056+5 2.454709-4 1.507744+5 2.483133-4 1.443296+5 2.511886-4 1.390827+5 2.540973-4 1.349493+5 2.570396-4 1.318430+5 2.600160-4 1.296374+5 2.630268-4 1.282944+5 2.660725-4 1.277398+5 2.691535-4 1.279009+5 2.730000-4 1.289828+5 2.770000-4 1.309860+5 2.818383-4 1.343732+5 2.880000-4 1.398676+5 2.951209-4 1.473757+5 3.235937-4 1.823676+5 3.350000-4 1.964048+5 3.470000-4 2.102372+5 3.589219-4 2.227062+5 3.700000-4 2.330076+5 3.820000-4 2.427324+5 3.935501-4 2.507615+5 4.073803-4 2.587926+5 4.216965-4 2.654192+5 4.365158-4 2.705811+5 4.518559-4 2.742388+5 4.700000-4 2.766216+5 4.897788-4 2.772625+5 5.128614-4 2.760143+5 5.370318-4 2.728794+5 5.623413-4 2.679608+5 5.900000-4 2.612052+5 6.237348-4 2.516611+5 6.606934-4 2.403677+5 7.000000-4 2.279048+5 7.413102-4 2.146805+5 7.852356-4 2.009414+5 8.413951-4 1.842837+5 9.015711-4 1.676954+5 9.700000-4 1.505852+5 1.047129-3 1.335236+5 1.122018-3 1.189883+5 1.216186-3 1.032639+5 1.318257-3 8.895123+4 1.428894-3 7.607130+4 1.548817-3 6.462697+4 1.698244-3 5.320819+4 1.850000-3 4.410160+4 2.041738-3 3.523758+4 2.238721-3 2.835439+4 2.426610-3 2.331762+4 2.691535-3 1.799808+4 3.019952-3 1.337081+4 3.388442-3 9.840509+3 3.801894-3 7.177287+3 4.265795-3 5.189506+3 4.800000-3 3.689792+3 5.308844-3 2.739028+3 6.000000-3 1.891380+3 6.683439-3 1.354929+3 7.498942-3 9.420891+2 8.413951-3 6.500565+2 9.440609-3 4.452331+2 1.059254-2 3.027977+2 1.188502-2 2.045180+2 1.348963-2 1.318244+2 1.531087-2 8.433671+1 1.737801-2 5.357809+1 2.000000-2 3.213584+1 2.317395-2 1.865232+1 2.691535-2 1.064779+1 3.126079-2 6.034577+0 3.715352-2 3.109083+0 4.466836-2 1.520629+0 5.688529-2 5.895607-1 1.023293-1 5.835045-2 1.258925-1 2.595807-2 1.500000-1 1.318157-2 1.757924-1 7.190465-3 2.018366-1 4.272162-3 2.290868-1 2.668413-3 2.600160-1 1.678828-3 2.917427-1 1.109413-3 3.273407-1 7.384441-4 3.630781-1 5.154530-4 4.027170-1 3.623309-4 4.415705-1 2.664358-4 4.841724-1 1.973156-4 5.188000-1 1.584386-4 5.688529-1 1.191186-4 6.531306-1 7.838228-5 7.161434-1 5.969881-5 7.762471-1 4.734601-5 8.511380-1 3.649061-5 9.015711-1 3.120046-5 9.440609-1 2.768190-5 9.885531-1 2.470806-5 1.035142+0 2.220546-5 1.083927+0 2.009073-5 1.148154+0 1.787086-5 1.216186+0 1.601066-5 1.318257+0 1.382957-5 1.531087+0 1.067177-5 1.819701+0 7.881705-6 2.018366+0 6.608819-6 2.290868+0 5.370207-6 2.630268+0 4.315357-6 3.019952+0 3.494030-6 3.507519+0 2.802051-6 4.120975+0 2.227496-6 4.841724+0 1.784192-6 5.688529+0 1.439418-6 6.760830+0 1.152549-6 8.222427+0 9.021687-7 1.011579+1 7.018412-7 1.273503+1 5.354490-7 1.621810+1 4.061958-7 2.137962+1 2.986424-7 2.951209+1 2.104241-7 4.265795+1 1.422647-7 6.606934+1 9.015075-8 1.174898+2 4.994236-8 2.344229+2 2.478657-8 4.677351+2 1.236180-8 3.715352+3 1.549225-9 1.000000+5 5.75380-11 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.802500-4 3.045600-5 1.000000+5 3.045600-5 1 68000 7 7 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.802500-4 1.825400-8 1.000000+5 1.825400-8 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.802500-4 1.497757-4 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.722600-4 4.126152+5 1.731000-4 4.351644+5 1.760000-4 5.284782+5 1.775000-4 5.805720+5 1.786000-4 6.179400+5 1.795000-4 6.469500+5 1.805000-4 6.766740+5 1.815000-4 7.029660+5 1.825000-4 7.251660+5 1.834000-4 7.412820+5 1.845000-4 7.557900+5 1.856000-4 7.646220+5 1.865000-4 7.678200+5 1.875000-4 7.674720+5 1.885000-4 7.634640+5 1.895000-4 7.562880+5 1.908000-4 7.430700+5 1.922000-4 7.250160+5 1.940000-4 6.977820+5 1.960000-4 6.643380+5 1.985000-4 6.205740+5 2.010000-4 5.767578+5 2.041738-4 5.230977+5 2.089296-4 4.494484+5 2.190000-4 3.266046+5 2.230000-4 2.906214+5 2.264644-4 2.649158+5 2.290868-4 2.485657+5 2.317395-4 2.345249+5 2.344229-4 2.226592+5 2.373000-4 2.123040+5 2.400000-4 2.045970+5 2.426610-4 1.987109+5 2.454709-4 1.941554+5 2.483133-4 1.910926+5 2.511886-4 1.893586+5 2.540973-4 1.888706+5 2.570396-4 1.895154+5 2.600160-4 1.911864+5 2.635000-4 1.942614+5 2.670000-4 1.983768+5 2.722701-4 2.061268+5 2.786121-4 2.172855+5 3.054921-4 2.738499+5 3.162278-4 2.968071+5 3.273407-4 3.193560+5 3.350000-4 3.338268+5 3.467369-4 3.541240+5 3.563300-4 3.688176+5 3.672823-4 3.834986+5 3.801894-4 3.980909+5 3.935501-4 4.103887+5 4.073803-4 4.204041+5 4.216965-4 4.281149+5 4.365158-4 4.334910+5 4.550000-4 4.369056+5 4.731513-4 4.372919+5 4.954502-4 4.346558+5 5.188000-4 4.291160+5 5.432503-4 4.209550+5 5.688529-4 4.103346+5 6.025596-4 3.944330+5 6.382635-4 3.762295+5 6.760830-4 3.563125+5 7.161434-4 3.352292+5 7.585776-4 3.134863+5 8.128305-4 2.870938+5 8.709636-4 2.609623+5 9.332543-4 2.355629+5 1.000000-3 2.112198+5 1.083927-3 1.845698+5 1.174898-3 1.599834+5 1.273503-3 1.376621+5 1.380384-3 1.175994+5 1.500000-3 9.927780+4 1.621810-3 8.412899+4 1.778279-3 6.870939+4 1.950000-3 5.565504+4 2.113489-3 4.603227+4 2.350000-3 3.555486+4 2.630268-3 2.675873+4 2.917427-3 2.042919+4 3.235937-3 1.547749+4 3.548134-3 1.201714+4 3.900000-3 9.213600+3 4.300000-3 6.960840+3 4.731513-3 5.258415+3 5.188000-3 3.991965+3 5.821032-3 2.808143+3 6.456542-3 2.032219+3 7.244360-3 1.408026+3 8.128305-3 9.681729+2 9.120108-3 6.606877+2 1.023293-2 4.475307+2 1.148154-2 3.009681+2 1.288250-2 2.010126+2 1.462177-2 1.279662+2 1.659587-2 8.084853+1 1.883649-2 5.071604+1 2.162719-2 3.026162+1 2.483133-2 1.792296+1 2.884032-2 1.008305+1 3.349654-2 5.629930+0 3.935501-2 2.983715+0 4.731513-2 1.432741+0 5.956621-2 5.678520-1 9.660509-2 8.029258-2 1.188502-1 3.494437-2 1.396368-1 1.842423-2 1.621810-1 1.024463-2 1.840772-1 6.278474-3 2.089296-1 3.877082-3 2.344229-1 2.520357-3 2.600160-1 1.722801-3 2.884032-1 1.186629-3 3.162278-1 8.578235-4 3.467369-1 6.244474-4 3.801894-1 4.578629-4 4.168694-1 3.382435-4 4.518559-1 2.611880-4 4.897788-1 2.029709-4 5.308844-1 1.587993-4 5.754399-1 1.250851-4 6.237348-1 9.922712-5 6.760830-1 7.927557-5 7.328245-1 6.375207-5 8.609938-1 4.176159-5 9.120108-1 3.612381-5 9.660509-1 3.146750-5 1.011579+0 2.835144-5 1.071519+0 2.506064-5 1.135011+0 2.228688-5 1.216186+0 1.949297-5 1.318257+0 1.679879-5 1.798871+0 9.723342-6 2.018366+0 7.994816-6 2.290868+0 6.496443-6 2.630268+0 5.220364-6 3.019952+0 4.226802-6 3.507519+0 3.389782-6 4.120975+0 2.694699-6 4.841724+0 2.158297-6 5.688529+0 1.741262-6 6.760830+0 1.394245-6 8.222427+0 1.091345-6 1.011579+1 8.490362-7 1.273503+1 6.477423-7 1.621810+1 4.913856-7 2.137962+1 3.612721-7 2.951209+1 2.545612-7 4.265795+1 1.721015-7 6.606934+1 1.090573-7 1.174898+2 6.041607-8 2.344229+2 2.998558-8 4.677351+2 1.495406-8 3.715352+3 1.874171-9 1.000000+5 6.96050-11 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.722600-4 2.828200-5 1.000000+5 2.828200-5 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.722600-4 1.439780-4 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 1.094000-5 6.822104+5 1.122018-5 6.482822+5 1.165000-5 6.055975+5 1.216186-5 5.650223+5 1.258925-5 5.379748+5 1.303167-5 5.151167+5 1.350000-5 4.960633+5 1.400000-5 4.803375+5 1.450000-5 4.686529+5 1.500000-5 4.605601+5 1.550000-5 4.555756+5 1.610000-5 4.531050+5 1.670000-5 4.539145+5 1.737801-5 4.583492+5 1.800000-5 4.653033+5 1.870000-5 4.760977+5 1.950000-5 4.918888+5 2.018366-5 5.080558+5 2.113489-5 5.343490+5 2.213095-5 5.659559+5 2.317395-5 6.031811+5 2.454709-5 6.579413+5 2.630268-5 7.363520+5 2.900000-5 8.710359+5 3.311311-5 1.098529+6 3.589219-5 1.257356+6 3.845918-5 1.402479+6 4.120975-5 1.553014+6 4.400000-5 1.698116+6 4.731513-5 1.859926+6 5.069907-5 2.013987+6 5.495409-5 2.192403+6 5.956621-5 2.368999+6 6.400000-5 2.521560+6 6.900000-5 2.671685+6 7.328245-5 2.780758+6 7.800000-5 2.877744+6 8.317638-5 2.959666+6 8.810489-5 3.014880+6 9.500000-5 3.063756+6 1.011579-4 3.086276+6 1.109175-4 3.094241+6 1.190000-4 3.079262+6 1.273503-4 3.048640+6 1.364583-4 2.995295+6 1.462177-4 2.923157+6 1.584893-4 2.814703+6 1.698244-4 2.705676+6 1.820000-4 2.585305+6 1.950000-4 2.452095+6 2.065380-4 2.333402+6 2.220000-4 2.174566+6 2.371374-4 2.022995+6 2.511886-4 1.889861+6 2.691535-4 1.729028+6 2.851018-4 1.595473+6 3.040000-4 1.449299+6 3.280280-4 1.281122+6 3.507519-4 1.140627+6 3.758374-4 1.003982+6 4.027170-4 8.769780+5 4.315191-4 7.604453+5 4.623810-4 6.547244+5 4.954502-4 5.598483+5 5.308844-4 4.755183+5 5.688529-4 4.013693+5 6.165950-4 3.269245+5 6.683439-4 2.643109+5 7.244360-4 2.121694+5 7.852356-4 1.691645+5 8.511380-4 1.340071+5 9.332543-4 1.019300+5 1.023293-3 7.696006+4 1.122018-3 5.768678+4 1.230269-3 4.294285+4 1.364583-3 3.056917+4 1.513561-3 2.159213+4 1.678804-3 1.514418+4 1.862087-3 1.054544+4 2.065380-3 7.292348+3 2.290868-3 5.009215+3 2.570396-3 3.275155+3 2.884032-3 2.124798+3 3.235937-3 1.368275+3 3.630781-3 8.747377+2 4.073803-3 5.552802+2 4.570882-3 3.500887+2 5.011872-3 2.406407+2 5.688529-3 1.425296+2 6.531306-3 7.985162+1 7.413102-3 4.658852+1 8.317638-3 2.834395+1 9.440609-3 1.627080+1 1.071519-2 9.271978+0 1.230269-2 4.983418+0 1.428894-2 2.523906+0 1.698244-2 1.142168+0 2.000000-2 5.348101-1 2.371374-2 2.405544-1 2.851018-2 1.005356-1 3.349654-2 4.652560-2 4.315191-2 1.373736-2 6.531306-2 1.857030-3 8.128305-2 6.501168-4 9.660509-2 2.857526-4 1.135011-1 1.335606-4 1.303167-1 7.008965-5 1.479108-1 3.909242-5 1.659587-1 2.315964-5 1.862087-1 1.381885-5 2.089296-1 8.307701-6 2.317395-1 5.291439-6 2.570396-1 3.394497-6 2.818383-1 2.302537-6 3.126079-1 1.498975-6 3.427678-1 1.030361-6 3.758374-1 7.131171-7 4.120975-1 4.971875-7 4.466836-1 3.649627-7 4.841724-1 2.696304-7 5.128614-1 2.182226-7 5.559043-1 1.634570-7 6.025596-1 1.232969-7 6.531306-1 9.362326-8 7.161434-1 6.887421-8 7.852356-1 5.104092-8 8.609938-1 3.804581-8 9.015711-1 3.302691-8 9.332543-1 2.983500-8 9.660509-1 2.708416-8 1.000000+0 2.473200-8 1.035142+0 2.273124-8 1.071519+0 2.100063-8 1.122018+0 1.903101-8 1.174898+0 1.736607-8 1.244515+0 1.560918-8 1.333521+0 1.382827-8 1.513561+0 1.120651-8 1.883649+0 7.642948-9 2.089296+0 6.420144-9 2.371374+0 5.226683-9 2.722701+0 4.208177-9 3.126079+0 3.413565-9 3.630781+0 2.742441-9 4.265795+0 2.183746-9 5.011872+0 1.751902-9 5.888437+0 1.415488-9 7.079458+0 1.118637-9 8.511380+0 8.89567-10 1.047129+1 6.92958-10 1.318257+1 5.29274-10 1.678804+1 4.01935-10 2.238721+1 2.92084-10 3.054921+1 2.08616-10 4.415704+1 1.41138-10 6.839116+1 8.94901-11 1.230269+2 4.90227-11 2.454709+2 2.43416-11 4.897788+2 1.21414-11 3.890451+3 1.52200-12 1.000000+5 5.91920-14 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 1.094000-5 1.094000-5 1.000000+5 1.094000-5 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.094000-5 0.0 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 9.760000-6 1.000120+6 9.940000-6 9.613847+5 1.023293-5 9.081750+5 1.060000-5 8.519379+5 1.100000-5 8.023402+5 1.135011-5 7.669886+5 1.180000-5 7.302374+5 1.216186-5 7.067241+5 1.258925-5 6.848993+5 1.303167-5 6.679179+5 1.350000-5 6.551997+5 1.400000-5 6.467174+5 1.445440-5 6.429640+5 1.500000-5 6.427965+5 1.554900-5 6.467735+5 1.610000-5 6.544400+5 1.678804-5 6.685390+5 1.750000-5 6.877574+5 1.830000-5 7.143151+5 1.920000-5 7.497185+5 2.018366-5 7.943702+5 2.137962-5 8.561008+5 2.270000-5 9.324682+5 2.426610-5 1.032754+6 2.691535-5 1.221346+6 3.162278-5 1.591933+6 3.427678-5 1.807080+6 3.672823-5 2.001479+6 3.935501-5 2.202220+6 4.220000-5 2.407597+6 4.518559-5 2.607836+6 4.897788-5 2.842977+6 5.308844-5 3.074059+6 5.800000-5 3.323553+6 6.237348-5 3.520453+6 6.760830-5 3.724247+6 7.161434-5 3.854513+6 7.673615-5 3.986513+6 8.128305-5 4.075190+6 8.609938-5 4.139588+6 9.300000-5 4.195404+6 1.000000-4 4.214803+6 1.083927-4 4.210529+6 1.190000-4 4.167324+6 1.273503-4 4.107754+6 1.364583-4 4.023386+6 1.462177-4 3.909998+6 1.566751-4 3.776468+6 1.698244-4 3.596959+6 1.819701-4 3.425392+6 1.927525-4 3.273511+6 2.080000-4 3.056351+6 2.213095-4 2.868718+6 2.350000-4 2.683898+6 2.550000-4 2.428662+6 2.722701-4 2.224120+6 2.884032-4 2.047087+6 3.090295-4 1.839122+6 3.311311-4 1.639377+6 3.548134-4 1.449894+6 3.801894-4 1.272539+6 4.073803-4 1.108570+6 4.365158-4 9.587199+5 4.677351-4 8.233534+5 5.011872-4 7.023398+5 5.415200-4 5.831411+5 5.821032-4 4.868119+5 6.309573-4 3.951617+5 6.839116-4 3.184350+5 7.413102-4 2.548117+5 8.035261-4 2.025296+5 8.810489-4 1.545481+5 9.660509-4 1.170545+5 1.059254-3 8.801713+4 1.161449-3 6.571673+4 1.273503-3 4.873623+4 1.412538-3 3.455054+4 1.566751-3 2.430735+4 1.737801-3 1.697681+4 1.927525-3 1.177235+4 2.137962-3 8.108434+3 2.371374-3 5.548266+3 2.660725-3 3.612233+3 2.985383-3 2.333589+3 3.349654-3 1.496291+3 3.758374-3 9.524065+2 4.216965-3 6.019081+2 4.623810-3 4.141036+2 5.188000-3 2.575191+2 5.821032-3 1.590159+2 6.683439-3 8.844852+1 7.585776-3 5.131946+1 8.609938-3 2.955585+1 9.660509-3 1.777783+1 1.096478-2 1.008708+1 1.258925-2 5.394991+0 1.479108-2 2.578233+0 1.717908-2 1.289220+0 1.995262-2 6.400743-1 2.290868-2 3.332644-1 2.722701-2 1.461698-1 3.311311-2 5.697202-2 4.073803-2 2.083512-2 7.079458-2 1.408027-3 8.810489-2 4.874500-4 1.035142-1 2.246943-4 1.188502-1 1.165107-4 1.348963-1 6.425892-5 1.513561-1 3.766658-5 1.698244-1 2.224538-5 1.883649-1 1.394676-5 2.089296-1 8.809438-6 2.290868-1 5.896971-6 2.511886-1 3.975650-6 2.722701-1 2.833545-6 2.951209-1 2.032344-6 3.198895-1 1.468045-6 3.467369-1 1.067705-6 3.801894-1 7.477476-7 4.120975-1 5.512076-7 4.415705-1 4.272082-7 4.677351-1 3.475153-7 5.011872-1 2.732417-7 5.370318-1 2.162437-7 5.821032-1 1.657805-7 6.309573-1 1.280263-7 6.839117-1 9.963263-8 7.498942-1 7.543521-8 8.035261-1 6.163805-8 8.609938-1 5.071396-8 9.225714-1 4.196062-8 9.660509-1 3.719940-8 1.000000+0 3.414400-8 1.047129+0 3.067267-8 1.096478+0 2.775909-8 1.148154+0 2.528099-8 1.216186+0 2.265389-8 1.318257+0 1.958922-8 1.513561+0 1.546881-8 1.840772+0 1.097527-8 2.044000+0 9.191100-9 2.317395+0 7.486986-9 2.660725+0 6.020234-9 3.054921+0 4.877431-9 3.548134+0 3.913838-9 4.168694+0 3.113047-9 4.897788+0 2.494797-9 5.754399+0 2.013738-9 6.839116+0 1.613187-9 8.317638+0 1.263270-9 1.023293+1 9.83228-10 1.288250+1 7.50398-10 1.621810+1 5.76898-10 2.137962+1 4.24137-10 2.951209+1 2.98860-10 4.315191+1 1.99616-10 6.683439+1 1.26524-10 1.202264+2 6.92850-11 2.398833+2 3.43946-11 4.786301+2 1.71549-11 3.801894+3 2.15016-12 1.000000+5 8.17180-14 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 9.760000-6 9.760000-6 1.000000+5 9.760000-6 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 9.760000-6 0.0 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 5.673000-5 5.333740+4 5.770000-5 5.206140+4 5.850000-5 5.127520+4 5.970000-5 5.053000+4 6.070000-5 5.023340+4 6.180000-5 5.022160+4 6.309573-5 5.053065+4 6.456542-5 5.124481+4 6.606934-5 5.229139+4 6.800000-5 5.397600+4 7.150000-5 5.759920+4 7.800000-5 6.481240+4 8.150000-5 6.843720+4 8.511380-5 7.177732+4 8.900000-5 7.482380+4 9.300000-5 7.733540+4 9.660509-5 7.906518+4 1.000000-4 8.026700+4 1.047129-4 8.133795+4 1.100000-4 8.186520+4 1.161449-4 8.180228+4 1.230269-4 8.112023+4 1.303167-4 7.992335+4 1.396368-4 7.793709+4 1.496236-4 7.543476+4 1.603245-4 7.246534+4 1.720000-4 6.904500+4 1.862087-4 6.485919+4 2.041738-4 5.982470+4 2.264644-4 5.418767+4 2.500000-4 4.894260+4 2.786121-4 4.341028+4 3.162278-4 3.743060+4 3.600000-4 3.193660+4 4.168694-4 2.645176+4 4.841724-4 2.167555+4 5.754399-4 1.707698+4 6.760830-4 1.357644+4 8.128305-4 1.036504+4 9.885531-4 7.713502+3 1.188502-3 5.794114+3 1.428894-3 4.318329+3 1.717908-3 3.192846+3 2.041738-3 2.388160+3 2.454709-3 1.738910+3 2.951209-3 1.256779+3 3.548134-3 9.013814+2 4.315191-3 6.283640+2 5.308844-3 4.254884+2 6.456542-3 2.924017+2 7.852356-3 1.994746+2 9.549926-3 1.350585+2 1.161449-2 9.075143+1 1.396368-2 6.196148+1 1.659587-2 4.301880+1 2.018366-2 2.822879+1 2.454709-2 1.840733+1 2.917427-2 1.253070+1 3.388442-2 8.907924+0 3.981072-2 6.122837+0 4.731513-2 4.065525+0 5.623413-2 2.678741+0 6.760830-2 1.702998+0 8.128305-2 1.074347+0 9.885531-2 6.526698-1 1.258925-1 3.496266-1 1.584893-1 1.916879-1 2.398833-1 6.457912-2 2.951209-1 3.771336-2 3.507519-1 2.424459-2 4.073803-1 1.665092-2 4.677351-1 1.186173-2 5.308844-1 8.754538-3 6.025596-1 6.510630-3 6.760830-1 5.011506-3 7.585776-1 3.884838-3 8.609938-1 2.959007-3 9.549926-1 2.385564-3 1.071519+0 1.894360-3 1.216186+0 1.479654-3 1.364583+0 1.190190-3 1.531087+0 9.639473-4 1.737801+0 7.706403-4 1.972423+0 6.208846-4 2.238721+0 5.038650-4 2.570396+0 4.043631-4 2.951209+0 3.270041-4 3.427678+0 2.619201-4 4.000000+0 2.099700-4 4.677351+0 1.690405-4 5.495409+0 1.361715-4 6.456542+0 1.104732-4 8.000000+0 8.436300-5 9.772372+0 6.612167-5 1.230269+1 5.038410-5 1.566751+1 3.817977-5 2.041738+1 2.840391-5 2.786121+1 2.023718-5 4.027170+1 1.366502-5 6.165950+1 8.753560-6 1.083927+2 4.901628-6 2.162719+2 2.430790-6 4.315191+2 1.211902-6 1.717908+3 3.031919-7 1.000000+5 5.201400-9 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 5.673000-5 5.673000-5 1.000000+5 5.673000-5 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 5.673000-5 0.0 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 3.473000-5 9.424740+6 3.515000-5 8.756000+6 3.575000-5 7.950420+6 3.650000-5 7.126980+6 3.715352-5 6.531556+6 3.810000-5 5.813580+6 3.920000-5 5.135580+6 4.070000-5 4.400320+6 4.265795-5 3.656236+6 5.432503-5 1.455241+6 6.382635-5 7.856156+5 7.079458-5 5.319924+5 7.673615-5 3.954353+5 8.317638-5 2.959299+5 8.912509-5 2.323094+5 9.500000-5 1.870480+5 1.000000-4 1.581044+5 1.047129-4 1.366746+5 1.100000-4 1.176974+5 1.150000-4 1.034756+5 1.205000-4 9.098300+4 1.260000-4 8.099660+4 1.318257-4 7.248518+4 1.380384-4 6.518372+4 1.450000-4 5.864660+4 1.520000-4 5.339900+4 1.584893-4 4.944007+4 1.659587-4 4.570816+4 1.737801-4 4.252184+4 1.820000-4 3.977400+4 1.927525-4 3.686456+4 2.065380-4 3.392644+4 2.220000-4 3.133680+4 2.426610-4 2.864129+4 2.722701-4 2.571540+4 3.845918-4 1.889727+4 4.518559-4 1.624937+4 5.188000-4 1.417161+4 5.956621-4 1.226405+4 6.760830-4 1.066331+4 7.673615-4 9.204939+3 8.609938-4 8.001123+3 9.772372-4 6.810994+3 1.109175-3 5.752040+3 1.258925-3 4.821598+3 1.428894-3 4.011064+3 1.603245-3 3.369987+3 1.798871-3 2.812410+3 2.041738-3 2.286849+3 2.317395-3 1.845391+3 2.630268-3 1.477956+3 3.000000-3 1.164414+3 3.388442-3 9.272375+2 3.845918-3 7.264967+2 4.365158-3 5.652107+2 4.954502-3 4.366557+2 5.623413-3 3.349839+2 6.382635-3 2.552084+2 7.244360-3 1.930902+2 8.222426-3 1.450776+2 9.340000-3 1.080438+2 1.071519-2 7.789984+1 1.230269-2 5.564250+1 1.428894-2 3.836033+1 1.698244-2 2.481597+1 1.927525-2 1.791236+1 2.113489-2 1.405237+1 2.398833-2 9.988664+0 2.754229-2 6.828571+0 3.273407-2 4.205541+0 3.845918-2 2.654068+0 4.570882-2 1.607630+0 5.370318-2 9.997775-1 6.531306-2 5.571521-1 8.317638-2 2.683420-1 1.584893-1 3.757906-2 1.972423-1 1.941366-2 2.344229-1 1.159923-2 2.722701-1 7.471716-3 3.126079-1 5.011875-3 3.548134-1 3.498520-3 4.027170-1 2.459614-3 4.518559-1 1.797778-3 5.069907-1 1.323722-3 5.623413-1 1.011954-3 6.309573-1 7.566084-4 6.998420-1 5.865035-4 7.762471-1 4.578910-4 8.709636-1 3.498534-4 9.332543-1 2.995200-4 1.000000+0 2.582000-4 1.096478+0 2.139426-4 1.202264+0 1.785777-4 1.318257+0 1.501309-4 1.479108+0 1.218527-4 1.717908+0 9.345866-5 1.949845+0 7.520842-5 2.213095+0 6.099225-5 2.540973+0 4.891501-5 2.917427+0 3.953214-5 3.349654+0 3.218200-5 3.890451+0 2.594349-5 4.570882+0 2.072486-5 5.370318+0 1.667819-5 6.309573+0 1.351727-5 7.852356+0 1.025724-5 9.549926+0 8.075881-6 1.202264+1 6.148660-6 1.531087+1 4.655751-6 2.000000+1 3.452500-6 2.691535+1 2.495727-6 3.845918+1 1.704421-6 5.888437+1 1.090858-6 1.011579+2 6.249282-7 2.018366+2 3.096734-7 4.027170+2 1.543539-7 1.603245+3 3.859869-8 1.000000+5 6.17960-10 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 3.473000-5 3.473000-5 1.000000+5 3.473000-5 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.473000-5 0.0 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.906000-5 2.169432+7 2.940000-5 2.010404+7 2.995000-5 1.796476+7 3.054921-5 1.606405+7 3.126079-5 1.422717+7 3.198895-5 1.269417+7 3.273407-5 1.138859+7 3.350000-5 1.025692+7 3.467369-5 8.831687+6 3.630781-5 7.288373+6 3.845918-5 5.777188+6 4.315191-5 3.669160+6 4.954502-5 2.142320+6 5.400000-5 1.540916+6 5.800000-5 1.180148+6 6.165950-5 9.455745+5 6.531306-5 7.729652+5 6.900000-5 6.424200+5 7.244360-5 5.489178+5 7.585776-5 4.761546+5 7.943282-5 4.159174+5 8.317638-5 3.660295+5 8.650000-5 3.303720+5 9.015711-5 2.983909+5 9.400000-5 2.711272+5 9.800000-5 2.480636+5 1.023293-4 2.277746+5 1.071519-4 2.094924+5 1.122018-4 1.939829+5 1.174898-4 1.806911+5 1.244515-4 1.665393+5 1.318257-4 1.545359+5 1.412538-4 1.422986+5 1.531087-4 1.302521+5 1.698244-4 1.172590+5 2.454709-4 8.232983+4 2.884032-4 7.006532+4 3.350000-4 5.988840+4 3.801894-4 5.212019+4 4.365158-4 4.446804+4 4.954502-4 3.820107+4 5.688529-4 3.213314+4 6.531306-4 2.683391+4 7.585776-4 2.188022+4 8.609938-4 1.828382+4 9.885531-4 1.492139+4 1.135011-3 1.208170+4 1.288250-3 9.885974+3 1.462177-3 8.033770+3 1.659587-3 6.482449+3 1.883649-3 5.193853+3 2.137962-3 4.131875+3 2.426610-3 3.263670+3 2.754229-3 2.559731+3 3.126079-3 1.993505+3 3.548134-3 1.541669+3 4.027170-3 1.184036+3 4.570882-3 9.031954+2 5.188000-3 6.842463+2 5.888437-3 5.148112+2 6.683439-3 3.846518+2 7.585776-3 2.854548+2 8.609938-3 2.103118+2 9.772372-3 1.538284+2 1.109175-2 1.117202+2 1.258925-2 8.056211+1 1.428894-2 5.767981+1 1.621810-2 4.101225+1 1.862087-2 2.805345+1 2.137962-2 1.903983+1 2.454709-2 1.282472+1 2.818383-2 8.575606+0 3.235937-2 5.693742+0 3.758374-2 3.626012+0 4.365158-2 2.292141+0 5.128614-2 1.388281+0 6.095369-2 8.052401-1 7.413102-2 4.304561-1 9.660509-2 1.827806-1 1.621810-1 3.395291-2 1.972423-1 1.808767-2 2.317395-1 1.084257-2 2.660725-1 7.041077-3 3.019952-1 4.773204-3 3.388442-1 3.375260-3 3.801894-1 2.404313-3 4.216965-1 1.784215-3 4.677351-1 1.333622-3 5.128614-1 1.036297-3 5.688529-1 7.863186-4 6.237348-1 6.194245-4 6.839117-1 4.911316-4 7.498942-1 3.919907-4 8.511380-1 2.899760-4 9.120108-1 2.474116-4 9.772372-1 2.125534-4 1.047129+0 1.840261-4 1.148154+0 1.530094-4 1.258925+0 1.281728-4 1.396368+0 1.059063-4 1.678804+0 7.628292-5 1.905461+0 6.130206-5 2.162719+0 4.964473-5 2.454709+0 4.049136-5 2.818383+0 3.266357-5 3.235937+0 2.654399-5 3.758374+0 2.136242-5 4.415704+0 1.703789-5 5.188000+0 1.368970-5 6.095369+0 1.107802-5 7.498942+0 8.516406-6 9.015711+0 6.787413-6 1.109175+1 5.298337-6 1.400000+1 4.042200-6 1.819701+1 3.005715-6 2.426610+1 2.189367-6 3.311311+1 1.566497-6 4.841724+1 1.048796-6 7.498942+1 6.661044-7 1.348963+2 3.653339-7 2.691535+2 1.815539-7 5.370318+2 9.059957-8 4.265795+3 1.136133-8 1.000000+5 4.84460-10 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.906000-5 2.906000-5 1.000000+5 2.906000-5 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.906000-5 0.0 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.480000-6 4.462480+6 5.700000-6 3.794740+6 6.309573-6 2.463001+6 6.918310-6 1.653831+6 7.585776-6 1.102474+6 8.317638-6 7.297546+5 9.120108-6 4.794061+5 1.000000-5 3.127500+5 1.230269-5 1.181820+5 1.310000-5 8.847220+4 1.365000-5 7.355620+4 1.420000-5 6.195260+4 1.462177-5 5.480619+4 1.515000-5 4.754760+4 1.566751-5 4.189044+4 1.610000-5 3.805420+4 1.655900-5 3.470025+4 1.698244-5 3.214771+4 1.737801-5 3.015468+4 1.785000-5 2.819020+4 1.830000-5 2.666660+4 1.870000-5 2.555160+4 1.920700-5 2.440762+4 1.972423-5 2.349739+4 2.020000-5 2.284760+4 2.070000-5 2.232360+4 2.130000-5 2.186900+4 2.194700-5 2.154761+4 2.270000-5 2.134120+4 2.353000-5 2.126631+4 2.454709-5 2.132354+4 2.600160-5 2.157307+4 3.000000-5 2.253680+4 3.311311-5 2.317331+4 3.570000-5 2.351380+4 3.801894-5 2.365960+4 4.073803-5 2.365146+4 4.365158-5 2.347179+4 4.677351-5 2.312571+4 5.011872-5 2.261023+4 5.370318-5 2.193713+4 5.800000-5 2.103580+4 6.237348-5 2.007738+4 6.760830-5 1.891903+4 7.413102-5 1.752489+4 8.128305-5 1.612521+4 9.015711-5 1.457897+4 1.035142-4 1.264754+4 1.258925-4 1.023241+4 1.659587-4 7.521394+3 1.905461-4 6.408554+3 2.041738-4 5.893038+3 2.290868-4 5.078886+3 2.630268-4 4.213062+3 3.672823-4 2.641423+3 4.841724-4 1.783665+3 5.688529-4 1.406503+3 7.762471-4 8.839094+2 9.225714-4 6.770781+2 1.161449-3 4.709231+2 1.412538-3 3.435005+2 1.678804-3 2.582751+2 2.371374-3 1.427419+2 2.917427-3 9.929202+1 3.467369-3 7.277011+1 4.216965-3 5.077212+1 5.188000-3 3.440718+1 6.382635-3 2.315123+1 7.762471-3 1.580581+1 9.440609-3 1.071024+1 1.148154-2 7.202177+0 1.380384-2 4.920806+0 1.659587-2 3.336389+0 1.995262-2 2.244312+0 2.371374-2 1.536331+0 2.818383-2 1.044066+0 3.349654-2 7.041401-1 3.981072-2 4.712585-1 4.731513-2 3.130235-1 5.559043-2 2.121474-1 6.683439-2 1.349401-1 8.035261-2 8.517611-2 9.772372-2 5.176658-2 1.230269-1 2.858275-2 1.566751-1 1.521557-2 2.398833-1 4.974585-3 2.951209-1 2.905877-3 3.507519-1 1.868675-3 4.073803-1 1.283875-3 4.677351-1 9.149871-4 5.308844-1 6.756801-4 6.000000-1 5.078300-4 6.760830-1 3.874652-4 7.585776-1 3.007392-4 8.511380-1 2.352052-4 9.440609-1 1.898365-4 1.059254+0 1.507973-4 1.216186+0 1.151688-4 1.364583+0 9.261246-5 1.531087+0 7.497729-5 1.717908+0 6.115029-5 1.949845+0 4.923525-5 2.213095+0 3.993031-5 2.540973+0 3.202350-5 2.917427+0 2.588084-5 3.349654+0 2.106914-5 3.890451+0 1.698504-5 4.570882+0 1.356824-5 5.370318+0 1.091871-5 6.309573+0 8.849393-6 7.852356+0 6.715160-6 9.549926+0 5.287151-6 1.202264+1 4.025434-6 1.531087+1 3.048037-6 2.000000+1 2.260300-6 2.691535+1 1.633877-6 3.845918+1 1.115884-6 5.888437+1 7.141763-7 1.011579+2 4.091341-7 2.018366+2 2.027370-7 4.027170+2 1.010487-7 1.603245+3 2.527000-8 1.000000+5 4.04570-10 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.480000-6 5.480000-6 1.000000+5 5.480000-6 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.480000-6 0.0 1.000000+5 1.000000+5 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.633070-7 1.026600+0 1.158080-6 1.027100+0 1.575590-6 1.027500+0 1.973410-6 1.028100+0 2.686770-6 1.028750+0 3.633070-6 1.029500+0 4.971950-6 1.030100+0 6.252830-6 1.031000+0 8.556010-6 1.032000+0 1.170680-5 1.033200+0 1.639920-5 1.034000+0 2.013150-5 1.035300+0 2.732570-5 1.036640+0 3.633070-5 1.038200+0 4.902940-5 1.039700+0 6.369910-5 1.041500+0 8.475080-5 1.043800+0 1.176370-4 1.046400+0 1.636700-4 1.048300+0 2.037730-4 1.051200+0 2.764140-4 1.054080+0 3.633070-4 1.057700+0 4.952120-4 1.061100+0 6.441490-4 1.065100+0 8.527850-4 1.070400+0 1.189730-3 1.076200+0 1.644210-3 1.080600+0 2.053350-3 1.087100+0 2.766530-3 1.093710+0 3.633070-3 1.102600+0 5.036990-3 1.110700+0 6.568870-3 1.120600+0 8.786540-3 1.133300+0 1.221600-2 1.147500+0 1.686570-2 1.158200+0 2.095970-2 1.174100+0 2.801560-2 1.190110+0 3.633070-2 1.205100+0 4.523800-2 1.227500+0 6.056250-2 1.250000+0 7.822000-2 1.265600+0 9.163580-2 1.294900+0 1.191230-1 1.331800+0 1.573050-1 1.362600+0 1.916050-1 1.397000+0 2.319550-1 1.433800+0 2.770800-1 1.500000+0 3.628000-1 1.562500+0 4.493570-1 1.617200+0 5.292180-1 1.712900+0 6.764310-1 1.838500+0 8.800310-1 1.946200+0 1.059290+0 2.000000+0 1.149000+0 2.044000+0 1.222000+0 2.163500+0 1.418790+0 2.372600+0 1.756260+0 2.647100+0 2.182120+0 3.000000+0 2.700000+0 3.500000+0 3.381850+0 4.000000+0 4.009000+0 4.750000+0 4.857410+0 5.000000+0 5.119000+0 6.000000+0 6.074000+0 7.000000+0 6.917000+0 8.000000+0 7.674000+0 9.000000+0 8.362000+0 1.000000+1 8.993000+0 1.100000+1 9.577000+0 1.200000+1 1.012000+1 1.300000+1 1.063000+1 1.400000+1 1.110000+1 1.500000+1 1.153000+1 1.600000+1 1.194000+1 1.800000+1 1.268000+1 2.000000+1 1.333000+1 2.200000+1 1.393000+1 2.400000+1 1.447000+1 2.600000+1 1.496000+1 2.800000+1 1.542000+1 3.000000+1 1.584000+1 4.000000+1 1.754000+1 5.000000+1 1.881000+1 6.000000+1 1.979000+1 8.000000+1 2.124000+1 1.000000+2 2.227000+1 1.500000+2 2.389000+1 2.000000+2 2.485000+1 3.000000+2 2.597000+1 4.000000+2 2.661000+1 5.000000+2 2.703000+1 6.000000+2 2.733000+1 8.000000+2 2.773000+1 1.000000+3 2.798000+1 1.500000+3 2.836000+1 2.000000+3 2.856000+1 3.000000+3 2.878000+1 4.000000+3 2.890000+1 5.000000+3 2.897000+1 6.000000+3 2.902000+1 8.000000+3 2.909000+1 1.000000+4 2.913000+1 1.500000+4 2.919000+1 2.000000+4 2.922000+1 3.000000+4 2.926000+1 4.000000+4 2.927000+1 5.000000+4 2.928000+1 6.000000+4 2.929000+1 8.000000+4 2.930000+1 1.000000+5 2.931000+1 1 68000 7 8 1.672600+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 6.811850-7 2.094700+0 1.199250-6 2.099900+0 1.595430-6 2.106600+0 2.219380-6 2.114000+0 3.070790-6 2.119500+0 3.823110-6 2.127900+0 5.184860-6 2.136250+0 6.811850-6 2.147000+0 9.339530-6 2.156900+0 1.213090-5 2.169000+0 1.618950-5 2.184500+0 2.250390-5 2.201800+0 3.113480-5 2.214800+0 3.879150-5 2.234200+0 5.218150-5 2.253680+0 6.811850-5 2.281500+0 9.541200-5 2.307000+0 1.253230-4 2.338200+0 1.685080-4 2.377400+0 2.333630-4 2.410200+0 2.967990-4 2.446800+0 3.775450-4 2.485900+0 4.753500-4 2.532900+0 6.083460-4 2.556430+0 6.811850-4 2.611900+0 8.685890-4 2.660400+0 1.050080-3 2.745300+0 1.405470-3 2.809000+0 1.702110-3 2.904500+0 2.192750-3 3.000000+0 2.737000-3 3.125000+0 3.529170-3 3.234400+0 4.294050-3 3.425800+0 5.781990-3 3.569300+0 7.010620-3 3.784700+0 9.010720-3 4.000000+0 1.116000-2 4.250000+0 1.378640-2 4.625000+0 1.791200-2 5.000000+0 2.220000-2 5.500000+0 2.808640-2 6.000000+0 3.405000-2 6.750000+0 4.291480-2 7.000000+0 4.583000-2 8.000000+0 5.723000-2 9.000000+0 6.812000-2 1.000000+1 7.845000-2 1.100000+1 8.821000-2 1.200000+1 9.740000-2 1.300000+1 1.061000-1 1.400000+1 1.143000-1 1.500000+1 1.221000-1 1.600000+1 1.294000-1 1.800000+1 1.431000-1 2.000000+1 1.555000-1 2.200000+1 1.668000-1 2.400000+1 1.772000-1 2.600000+1 1.868000-1 2.800000+1 1.956000-1 3.000000+1 2.039000-1 4.000000+1 2.378000-1 5.000000+1 2.633000-1 6.000000+1 2.835000-1 8.000000+1 3.137000-1 1.000000+2 3.355000-1 1.500000+2 3.713000-1 2.000000+2 3.936000-1 3.000000+2 4.206000-1 4.000000+2 4.368000-1 5.000000+2 4.478000-1 6.000000+2 4.558000-1 8.000000+2 4.669000-1 1.000000+3 4.743000-1 1.500000+3 4.852000-1 2.000000+3 4.915000-1 3.000000+3 4.982000-1 4.000000+3 5.023000-1 5.000000+3 5.047000-1 6.000000+3 5.064000-1 8.000000+3 5.087000-1 1.000000+4 5.102000-1 1.500000+4 5.121000-1 2.000000+4 5.133000-1 3.000000+4 5.144000-1 4.000000+4 5.151000-1 5.000000+4 5.155000-1 6.000000+4 5.158000-1 8.000000+4 5.161000-1 1.000000+5 5.163000-1 1 68000 7 8 1.672600+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 68000 7 9 1.672600+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 6.800000+1 1.000000+5 6.800000+1 5.000000+5 6.796600+1 1.000000+6 6.792100+1 1.375000+6 6.787820+1 1.500000+6 6.785800+1 1.875000+6 6.778010+1 2.000000+6 6.775000+1 2.375000+6 6.765030+1 2.500000+6 6.761400+1 2.875000+6 6.749530+1 3.000000+6 6.745200+1 3.437500+6 6.728460+1 3.812500+6 6.713080+1 4.000000+6 6.705700+1 4.437500+6 6.686640+1 4.812500+6 6.668980+1 5.000000+6 6.660400+1 5.500000+6 6.634290+1 5.875000+6 6.613550+1 6.437500+6 6.581300+1 6.500000+6 6.577480+1 7.000000+6 6.548300+1 7.500000+6 6.518190+1 8.250000+6 6.473200+1 9.000000+6 6.427000+1 1.000000+7 6.363800+1 1.250000+7 6.205700+1 1.500000+7 6.042200+1 1.750000+7 5.877900+1 2.000000+7 5.708600+1 2.250000+7 5.534460+1 2.500000+7 5.359500+1 2.875000+7 5.100800+1 3.000000+7 5.016800+1 3.437500+7 4.730550+1 3.500000+7 4.691330+1 3.812500+7 4.500420+1 4.000000+7 4.391600+1 4.500000+7 4.118770+1 5.000000+7 3.869300+1 5.500000+7 3.639600+1 5.750000+7 3.530940+1 6.000000+7 3.426500+1 6.500000+7 3.227620+1 7.000000+7 3.043000+1 7.750000+7 2.790470+1 8.000000+7 2.713100+1 9.000000+7 2.436100+1 1.000000+8 2.208600+1 1.125000+8 1.983500+1 1.187500+8 1.891290+1 1.250000+8 1.810500+1 1.375000+8 1.676800+1 1.437500+8 1.620370+1 1.500000+8 1.568800+1 1.625000+8 1.476280+1 1.671900+8 1.443500+1 1.789100+8 1.362860+1 1.812500+8 1.346660+1 1.894500+8 1.289390+1 1.973600+8 1.233070+1 2.000000+8 1.214100+1 2.062500+8 1.168670+1 2.250000+8 1.040440+1 2.390600+8 9.603650+0 2.500000+8 9.101700+0 2.781300+8 8.131610+0 2.859400+8 7.866760+0 2.953100+8 7.524800+0 3.000000+8 7.340800+0 3.062500+8 7.082600+0 3.335900+8 6.021190+0 3.418000+8 5.776510+0 3.500000+8 5.579800+0 3.589800+8 5.420400+0 3.712900+8 5.265530+0 4.000000+8 4.997900+0 4.125000+8 4.863640+0 4.234400+8 4.734060+0 4.425800+8 4.494960+0 5.000000+8 3.834000+0 5.500000+8 3.403120+0 5.750000+8 3.205200+0 5.937500+8 3.055550+0 6.000000+8 3.004900+0 6.250000+8 2.801270+0 6.718800+8 2.466240+0 6.906300+8 2.361840+0 7.000000+8 2.316800+0 7.125000+8 2.264550+0 7.781300+8 2.050850+0 8.000000+8 1.977200+0 8.125000+8 1.931000+0 1.000000+9 1.297900+0 1.030800+9 1.241330+0 1.060100+9 1.199140+0 1.087600+9 1.167390+0 1.100900+9 1.154290+0 1.500000+9 9.626000-1 1.560500+9 9.272080-1 1.615500+9 8.918700-1 1.686000+9 8.442130-1 1.764500+9 7.904200-1 1.823400+9 7.507780-1 1.911700+9 6.938410-1 2.000000+9 6.409600-1 2.139200+9 5.666630-1 2.272600+9 5.048400-1 2.443000+9 4.371890-1 2.602800+9 3.834570-1 2.825100+9 3.214180-1 2.961100+9 2.894910-1 3.215900+9 2.394960-1 3.438900+9 2.042330-1 3.500000+9 1.956990-1 3.719500+9 1.685000-1 3.954200+9 1.443930-1 4.327700+9 1.142270-1 4.663900+9 9.351080-2 5.000000+9 7.727300-2 5.539100+9 5.791640-2 5.990200+9 4.622080-2 6.708000+9 3.315330-2 8.000000+9 1.958300-2 1.00000+10 9.999400-3 1.27030+10 4.879290-3 1.70630+10 2.026890-3 2.16210+10 1.006720-3 2.93940+10 4.086510-4 3.82190+10 1.900540-4 4.95460+10 8.956810-5 6.75650+10 3.664610-5 1.00000+11 1.193400-5 1.34280+11 5.161440-6 2.20600+11 1.269490-6 4.19930+11 2.092020-7 1.03480+12 1.716400-8 3.24440+12 7.47144-10 1.00000+14 6.82750-14 2.05350+15 1.80359-17 1.00000+17 4.21710-22 1 68000 7 0 1.672600+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 9.90000-12 1.000000+2 9.90000-10 1.000000+3 9.900000-8 1.000000+4 9.900000-6 1.000000+5 9.900000-4 5.000000+5 2.475000-2 1.000000+6 9.900000-2 1.375000+6 1.857300-1 1.500000+6 2.202000-1 1.875000+6 3.387580-1 2.000000+6 3.831000-1 2.375000+6 5.294560-1 2.500000+6 5.824000-1 2.875000+6 7.520250-1 3.000000+6 8.119000-1 3.437500+6 1.032110+0 3.812500+6 1.231770+0 4.000000+6 1.334600+0 4.437500+6 1.579580+0 4.812500+6 1.793300+0 5.000000+6 1.901000+0 5.500000+6 2.187770+0 5.875000+6 2.401830+0 6.437500+6 2.719210+0 6.500000+6 2.754020+0 7.000000+6 3.030200+0 7.500000+6 3.300080+0 8.250000+6 3.695330+0 9.000000+6 4.081500+0 1.000000+7 4.588000+0 1.250000+7 5.856500+0 1.500000+7 7.164000+0 1.750000+7 8.487500+0 2.000000+7 9.792000+0 2.250000+7 1.105640+1 2.500000+7 1.227900+1 2.875000+7 1.403970+1 3.000000+7 1.460900+1 3.437500+7 1.652770+1 3.500000+7 1.679170+1 3.812500+7 1.807680+1 4.000000+7 1.881700+1 4.500000+7 2.067520+1 5.000000+7 2.238700+1 5.500000+7 2.397590+1 5.750000+7 2.473360+1 6.000000+7 2.547100+1 6.500000+7 2.689290+1 7.000000+7 2.825800+1 7.750000+7 3.020290+1 8.000000+7 3.083000+1 9.000000+7 3.321600+1 1.000000+8 3.544000+1 1.125000+8 3.802100+1 1.187500+8 3.922900+1 1.250000+8 4.038700+1 1.375000+8 4.253620+1 1.437500+8 4.352540+1 1.500000+8 4.446300+1 1.625000+8 4.616530+1 1.671900+8 4.675200+1 1.789100+8 4.811150+1 1.812500+8 4.836400+1 1.894500+8 4.920750+1 1.973600+8 4.996540+1 2.000000+8 5.021000+1 2.062500+8 5.075410+1 2.250000+8 5.223800+1 2.390600+8 5.320890+1 2.500000+8 5.390600+1 2.781300+8 5.547320+1 2.859400+8 5.586770+1 2.953100+8 5.631040+1 3.000000+8 5.652800+1 3.062500+8 5.680300+1 3.335900+8 5.791640+1 3.418000+8 5.822020+1 3.500000+8 5.851800+1 3.589800+8 5.882250+1 3.712900+8 5.923030+1 4.000000+8 6.010100+1 4.125000+8 6.044480+1 4.234400+8 6.073880+1 4.425800+8 6.121900+1 5.000000+8 6.246000+1 5.500000+8 6.332840+1 5.750000+8 6.369930+1 5.937500+8 6.395600+1 6.000000+8 6.403700+1 6.250000+8 6.433580+1 6.718800+8 6.481050+1 6.906300+8 6.497590+1 7.000000+8 6.505700+1 7.125000+8 6.515130+1 7.781300+8 6.559010+1 8.000000+8 6.571900+1 8.125000+8 6.578170+1 1.000000+9 6.650400+1 1.030800+9 6.658710+1 1.060100+9 6.666390+1 1.087600+9 6.673420+1 1.100900+9 6.676760+1 1.500000+9 6.743100+1 1.560500+9 6.748890+1 1.615500+9 6.753970+1 1.686000+9 6.760240+1 1.764500+9 6.765920+1 1.823400+9 6.769470+1 1.911700+9 6.774600+1 2.000000+9 6.779500+1 2.139200+9 6.784850+1 2.272600+9 6.788730+1 2.443000+9 6.792710+1 2.602800+9 6.795650+1 2.825100+9 6.798320+1 2.961100+9 6.799130+1 3.215900+9 6.800310+1 3.438900+9 6.800990+1 3.500000+9 6.800940+1 3.719500+9 6.800770+1 3.954200+9 6.800590+1 4.327700+9 6.800320+1 4.663900+9 6.800100+1 5.000000+9 6.799900+1 5.539100+9 6.799920+1 5.990200+9 6.799940+1 6.708000+9 6.799960+1 8.000000+9 6.800000+1 1.00000+10 6.800000+1 1.27030+10 6.800000+1 1.70630+10 6.800000+1 2.16210+10 6.800000+1 2.93940+10 6.800000+1 3.82190+10 6.800000+1 4.95460+10 6.800000+1 6.75650+10 6.800000+1 1.00000+11 6.800000+1 1.34280+11 6.800000+1 2.20600+11 6.800000+1 4.19930+11 6.800000+1 1.03480+12 6.800000+1 3.24440+12 6.800000+1 1.00000+14 6.800000+1 2.05350+15 6.800000+1 1.00000+17 6.800000+1 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.175106-6 0.0 1.177999-6 4.731446-7 1.180891-6 9.362226-7 1.183783-6 1.710087-6 1.186676-6 2.883442-6 1.189568-6 4.488054-6 1.192461-6 6.448500-6 1.195353-6 8.552899-6 1.198245-6 1.047181-5 1.201138-6 1.183543-5 1.204030-6 1.234811-5 1.206922-6 1.189243-5 1.209815-6 1.057292-5 1.212707-6 8.677070-6 1.218492-6 4.597178-6 1.221384-6 2.967778-6 1.224277-6 1.768584-6 1.227169-6 9.729123-7 1.230061-6 4.940556-7 1.232954-6 0.0 2.145823-6 0.0 2.151105-6 4.380194-7 2.156387-6 8.667196-7 2.161668-6 1.583134-6 2.166950-6 2.669382-6 2.172232-6 4.154871-6 2.177513-6 5.969778-6 2.182795-6 7.917950-6 2.188077-6 9.694407-6 2.193358-6 1.095680-5 2.198640-6 1.143141-5 2.203922-6 1.100957-5 2.209203-6 9.788010-6 2.214485-6 8.032904-6 2.225048-6 4.255894-6 2.230330-6 2.747457-6 2.235612-6 1.637288-6 2.240893-6 9.006855-7 2.246175-6 4.573781-7 2.251457-6 0.0 2.413729-6 0.0 2.425611-6 4.082882+0 2.431552-6 7.457717+0 2.437493-6 1.257474+1 2.443435-6 1.957247+1 2.461629-6 4.603858+1 2.467744-6 5.181933+1 2.473770-6 5.364017+1 2.479849-6 5.112042+1 2.486266-6 4.434032+1 2.503588-6 1.916199+1 2.509158-6 1.261640+1 2.514728-6 7.712822+0 2.520669-6 4.242887+0 2.530203-6 8.526232-1 2.532551-6 3.446521-7 2.534322-6 0.0 2.597281-6 0.0 2.608469-6 7.324921+0 2.610067-6 8.360661+0 2.616460-6 1.527143+1 2.623252-6 2.664329+1 2.630045-6 4.226302+1 2.641441-6 7.464108+1 2.648824-6 9.427483+1 2.655852-6 1.064325+2 2.661672-6 1.099778+2 2.668190-6 1.051226+2 2.675144-6 9.138222+1 2.685208-6 6.333490+1 2.693174-6 4.105375+1 2.699567-6 2.650287+1 2.705960-6 1.579381+1 2.712353-6 8.688307+0 2.721942-6 2.208603+0 2.725139-6 0.0 3.441629-6 0.0 3.450100-6 1.58806-15 3.458571-6 3.14234-15 3.467042-6 5.73974-15 3.475513-6 9.67799-15 3.483984-6 1.50637-14 3.492455-6 2.16437-14 3.500927-6 2.87070-14 3.509398-6 3.51476-14 3.517869-6 3.97245-14 3.526340-6 4.14452-14 3.534811-6 3.99158-14 3.543282-6 3.54870-14 3.551753-6 2.91237-14 3.568696-6 1.54300-14 3.577167-6 9.96105-15 3.585638-6 5.93607-15 3.594109-6 3.26548-15 3.602580-6 1.65825-15 3.611051-6 0.0 4.016792-6 0.0 4.034094-6 1.110230-1 4.036565-6 1.267216-1 4.046452-6 2.314674-1 4.056339-6 3.902859-1 4.066226-6 6.074771-1 4.073116-6 7.979824-1 4.094482-6 1.916776+0 4.107997-6 2.797950+0 4.121113-6 3.807668+0 4.146995-6 5.895388+0 4.155791-6 6.425246+0 4.166338-6 6.734163+0 4.176399-6 6.619173+0 4.186104-6 6.116251+0 4.196329-6 5.229779+0 4.217406-6 2.947416+0 4.224565-6 2.246969+0 4.233279-6 1.520922+0 4.243304-6 9.063630-1 4.253329-6 4.985992-1 4.267700-6 1.435741-1 4.273379-6 4.327272-6 4.287818-6 0.0 4.526096-6 0.0 4.526115-6 1.00543-14 4.537256-6 1.34296-11 4.548396-6 2.65705-11 4.559537-6 4.85281-11 4.570677-6 8.18171-11 4.581818-6 1.27336-10 4.587934-6 1.57830-10 4.610519-6 2.821714-2 4.612343-6 3.197672-2 4.621812-6 1.064813-1 4.635048-6 2.256118-1 4.646401-6 3.839147-1 4.657754-6 6.075324-1 4.673726-6 1.026703+0 4.693222-6 1.586095+0 4.704363-6 1.846438+0 4.715503-6 2.001291+0 4.728036-6 2.002300+0 4.737784-6 1.891777+0 4.751719-6 1.566374+0 4.776957-6 8.423609-1 4.782633-6 6.878321-1 4.793986-6 4.391289-1 4.805339-6 2.574783-1 4.813850-6 1.633017-1 4.816692-6 1.355101-1 4.828044-6 6.881365-2 4.839397-6 1.023273-6 4.847968-6 1.67080-11 4.848692-6 1.72308-11 4.857850-6 2.82045-11 4.870635-6 5.889332-3 4.882624-6 3.962662-2 4.894612-6 7.648609-2 4.906601-6 1.364902-1 4.918589-6 2.251740-1 4.931824-6 3.580198-1 4.955576-6 6.418192-1 4.967452-6 7.662250-1 4.979328-6 8.471438-1 4.991204-6 8.671868-1 5.003080-6 8.217161-1 5.024099-6 6.294622-1 5.039013-6 4.728506-1 5.051355-6 3.651326-1 5.062460-6 3.035879-1 5.074439-6 2.810450-1 5.088381-6 3.038866-1 5.110405-6 3.856552-1 5.125408-6 4.602741-1 5.137750-6 4.917446-1 5.152735-6 4.911860-1 5.200643-6 4.112778-1 5.273079-6 4.023068-1 5.331880-6 3.895219-1 5.428254-6 3.458332-1 5.510156-6 3.524091-1 5.601339-6 3.258526-1 6.071893-6 2.522346-1 6.504129-6 2.012896-1 6.536147-6 1.086526+0 6.552156-6 1.819320+0 6.569166-6 3.026164+0 6.585121-6 4.565883+0 6.632702-6 1.016725+1 6.650687-6 1.149446+1 6.665917-6 1.185871+1 6.681699-6 1.135578+1 6.697656-6 1.005293+1 6.744265-6 4.541307+0 6.760275-6 2.993492+0 6.776284-6 1.854021+0 6.792293-6 1.097543+0 6.824311-6 1.715114-1 7.372403-6 1.320009-1 7.409669-6 1.300646-1 7.446697-6 8.340348-1 7.464935-6 1.411432+0 7.483172-6 2.283436+0 7.501980-6 3.515895+0 7.534739-6 6.195127+0 7.556400-6 7.871213+0 7.575852-6 8.869384+0 7.593704-6 9.172343+0 7.611408-6 8.806348+0 7.631783-6 7.644994+0 7.683220-6 3.501343+0 7.701457-6 2.324371+0 7.719695-6 1.465643+0 7.737933-6 9.185857-1 7.774409-6 3.364167-1 7.830447-6 6.276343-1 7.849349-6 6.944870-1 7.868250-6 7.190575-1 7.887151-6 6.955123-1 7.906053-6 6.291025-1 7.962757-6 3.296629-1 7.981659-6 2.478625-1 8.000560-6 1.874382-1 8.019462-6 1.470643-1 8.057265-6 9.711377-2 8.175364-6 9.232761-2 8.215609-6 1.522211-1 8.235732-6 2.022387-1 8.256007-6 2.792712-1 8.275977-6 3.830780-1 8.336345-6 7.736701-1 8.356467-6 8.624486-1 8.376590-6 8.953676-1 8.396713-6 8.647202-1 8.416835-6 7.773730-1 8.477203-6 3.830214-1 8.497326-6 2.753677-1 8.517448-6 1.959939-1 8.537571-6 1.431128-1 8.577816-6 7.794691-2 8.709224-6 7.384149-2 8.752097-6 9.496358-2 8.773533-6 1.128418-1 8.794970-6 1.402806-1 8.816407-6 1.780549-1 8.880717-6 3.194610-1 8.902153-6 3.514964-1 8.923590-6 3.631781-1 8.945027-6 3.517183-1 8.966463-6 3.201985-1 9.030773-6 1.953145-1 9.052277-6 1.690829-1 9.074341-6 1.581304-1 9.096405-6 1.614394-1 9.137956-6 1.868253-1 9.165629-6 2.107523-1 9.187970-6 2.214842-1 9.210310-6 2.250777-1 9.299670-6 2.040770-1 9.328315-6 2.021437-1 9.374866-6 2.415816-1 9.400567-6 2.771733-1 9.423873-6 3.296686-1 9.450929-6 4.140435-1 9.512845-6 6.377657-1 9.539852-6 6.960365-1 9.562535-6 7.058381-1 9.585673-6 6.746881-1 9.610417-6 5.999867-1 9.678227-6 3.248060-1 9.698252-6 2.603028-1 9.720037-6 2.097225-1 9.742650-6 1.773260-1 9.787606-6 1.479359-1 9.875526-6 1.732842-1 9.924141-6 1.941696-1 9.948449-6 2.075457-1 9.972756-6 2.263847-1 9.997063-6 2.517813-1 1.006999-5 3.458877-1 1.009429-5 3.673960-1 1.011860-5 3.753840-1 1.014291-5 3.690643-1 1.016721-5 3.512705-1 1.024014-5 2.744864-1 1.026444-5 2.604561-1 1.028888-5 2.565757-1 1.041366-5 2.880984-1 1.070250-5 2.689123-1 1.087270-5 2.377086-1 1.094582-5 2.372121-1 1.110166-5 2.572841-1 1.149789-5 2.530444-1 1.259933-5 2.394583-1 1.400000-5 2.390179-1 1.566751-5 2.567572-1 1.755990-5 2.963967-1 1.975978-5 3.667807-1 2.217982-5 4.737160-1 2.495928-5 6.366926-1 2.515602-5 6.500328-1 2.528180-5 2.523391+0 2.534209-5 3.994861+0 2.540369-5 6.265437+0 2.542568-5 7.371646+0 2.546561-5 1.432538+1 2.555084-5 3.006847+1 2.561343-5 4.673853+1 2.568383-5 7.282727+1 2.574641-5 1.016431+2 2.589113-5 1.751660+2 2.593025-5 1.922806+2 2.599905-5 2.102768+2 2.605784-5 2.128421+2 2.611983-5 2.007005+2 2.618537-5 1.738325+2 2.636441-5 7.649633+1 2.642699-5 4.934789+1 2.648992-5 2.971083+1 2.655295-5 1.677257+1 2.667732-5 1.339258+0 2.671225-5 1.504752+0 2.677736-5 1.924253+0 2.697268-5 3.484942+0 2.703779-5 3.842202+0 2.709685-5 3.983295+0 2.716801-5 4.532934+0 2.723312-5 4.808047+0 2.729822-5 5.321242+0 2.736817-5 6.384519+0 2.744395-5 8.324834+0 2.756993-5 1.264354+1 2.763762-5 1.507154+1 2.771340-5 1.702285+1 2.778077-5 1.768964+1 2.784813-5 1.738894+1 2.795194-5 1.548646+1 2.807855-5 1.271295+1 2.817198-5 1.151614+1 2.827453-5 1.117013+1 2.860978-5 1.105931+1 2.907189-5 9.983005+0 2.983771-5 8.874119+0 3.073246-5 7.965243+0 3.088375-5 1.648813+1 3.096412-5 2.425557+1 3.103976-5 3.529446+1 3.111820-5 5.098719+1 3.134927-5 1.062213+2 3.142697-5 1.176694+2 3.149954-5 1.209118+2 3.157467-5 1.156169+2 3.165546-5 1.013788+2 3.187464-5 4.813550+1 3.194276-5 3.452198+1 3.201841-5 2.338809+1 3.209405-5 1.602442+1 3.224534-5 7.044423+0 3.256544-5 7.470853+0 3.269552-5 7.802852+0 3.290148-5 8.618665+0 3.302127-5 9.449696+0 3.326349-5 1.208495+1 3.338619-5 1.328218+1 3.346397-5 1.363054+1 3.358187-5 1.344296+1 3.387544-5 1.178355+1 3.413397-5 1.125294+1 3.482556-5 1.075590+1 3.556706-5 9.821369+0 3.779534-5 8.499326+0 3.994296-5 7.711131+0 4.287570-5 7.038993+0 4.704349-5 6.555148+0 5.269742-5 6.414489+0 5.400000-5 6.545267+0 5.580116-5 6.545540+0 6.461190-5 7.185105+0 9.952143-5 1.108232+1 1.288799-4 1.374188+1 1.574291-4 1.540430+1 1.586042-4 1.579959+1 1.593849-4 2.011693+1 1.597753-4 2.360492+1 1.601657-4 2.870843+1 1.605561-4 3.548687+1 1.617272-4 5.959635+1 1.621176-4 6.476747+1 1.625080-4 6.644252+1 1.628984-4 6.422767+1 1.632888-4 5.860383+1 1.644599-4 3.416403+1 1.648503-4 2.759402+1 1.652444-4 2.271981+1 1.653774-4 2.165238+1 1.656337-4 2.044087+1 1.661917-4 1.954423+1 1.664118-4 1.963926+1 1.666041-4 2.071516+1 1.670057-4 2.405560+1 1.674127-4 2.868087+1 1.687200-4 4.678614+1 1.690968-4 5.012577+1 1.695133-4 5.126664+1 1.699192-4 4.968231+1 1.703324-4 4.567695+1 1.715120-4 2.951723+1 1.719080-4 2.513228+1 1.722974-4 2.193404+1 1.727044-4 1.973285+1 1.735186-4 1.709628+1 1.780623-4 1.842300+1 1.898423-4 1.964458+1 2.015018-4 1.951660+1 2.380313-4 1.775052+1 2.982794-4 1.698035+1 3.046421-4 1.709393+1 3.111320-4 1.862052+1 3.213941-4 1.810136+1 3.521207-4 1.809709+1 3.683427-4 1.814906+1 4.302370-4 1.767626+1 4.394144-4 1.797930+1 8.293732-4 1.267991+1 1.070749-3 1.022818+1 1.347096-3 8.195298+0 1.368477-3 8.078872+0 1.375213-3 9.463833+0 1.378590-3 1.064372+1 1.381950-3 1.244427+1 1.385318-3 1.495120+1 1.395114-3 2.467086+1 1.398866-3 2.792932+1 1.402291-3 2.981985+1 1.405625-3 3.054347+1 1.419784-3 2.797272+1 1.425009-3 2.856455+1 1.432823-3 3.218123+1 1.441327-3 3.661101+1 1.444524-3 3.750066+1 1.448118-3 3.759054+1 1.458047-3 3.481895+1 1.468557-3 3.209732+1 1.482269-3 3.158739+1 1.542006-3 3.297514+1 1.605642-3 3.221254+1 1.761796-3 2.904886+1 1.780776-3 3.036970+1 1.799055-3 3.222582+1 1.825948-3 3.178591+1 1.954403-3 2.910050+1 2.007590-3 2.978594+1 2.168872-3 2.706754+1 2.222211-3 2.712260+1 2.614230-3 2.188258+1 3.053615-3 1.766418+1 3.471234-3 1.469011+1 3.976935-3 1.204001+1 4.456013-3 1.015118+1 5.113874-3 8.234725+0 5.832906-3 6.717609+0 6.564293-3 5.582392+0 7.480876-3 4.535167+0 8.146738-3 3.970785+0 8.204143-3 4.129345+0 8.237682-3 4.470842+0 8.264765-3 4.976210+0 8.295219-3 5.818556+0 8.367312-3 8.316984+0 8.404313-3 9.254822+0 8.457484-3 9.879762+0 8.558766-3 9.910877+0 9.092024-3 9.051762+0 9.167323-3 9.275428+0 9.235437-3 1.004453+1 9.339147-3 1.137097+1 9.431104-3 1.161001+1 9.610570-3 1.148975+1 9.806978-3 1.243653+1 1.004645-2 1.219855+1 1.156305-2 9.799814+0 1.333599-2 7.793728+0 1.520263-2 6.295786+0 1.740304-2 5.034107+0 1.966080-2 4.102503+0 2.205301-2 3.375017+0 2.462014-2 2.794997+0 2.716830-2 2.357239+0 3.064503-2 1.911781+0 3.457403-2 1.546792+0 3.885095-2 1.258759+0 4.365158-2 1.022986+0 4.950938-2 8.165801-1 5.588464-2 6.572710-1 5.635312-2 6.614416-1 5.657030-2 6.919177-1 5.674252-2 7.525104-1 5.688548-2 8.430213-1 5.704720-2 1.004262+0 5.721410-2 1.244336+0 5.745136-2 1.696896+0 5.786639-2 2.544273+0 5.815353-2 2.943288+0 5.849731-2 3.154852+0 5.915988-2 3.181522+0 6.789945-2 2.553569+0 7.768195-2 2.049861+0 8.725473-2 1.687394+0 9.914025-2 1.357170+0 1.122172-1 1.096887+0 1.260642-1 8.958326-1 1.403776-1 7.426992-1 1.560127-1 6.170882-1 1.743769-1 5.079654-1 1.967305-1 4.113121-1 2.199835-1 3.385168-1 2.465202-1 2.782788-1 2.765151-1 2.288662-1 3.091398-1 1.900813-1 3.494529-1 1.556089-1 3.928745-1 1.292899-1 4.394362-1 1.089584-1 4.888546-1 9.305852-2 5.539078-1 7.799865-2 6.291439-1 6.572510-2 7.286182-1 5.462645-2 8.454916-1 4.587330-2 9.947725-1 3.852099-2 1.173413+0 3.217802-2 1.410753+0 2.622409-2 1.696098+0 2.137182-2 2.039158+0 1.741737-2 2.451607+0 1.419462-2 2.947480+0 1.156818-2 3.384160+0 9.922492-3 4.068655+0 8.086524-3 4.891600+0 6.590267-3 5.880996+0 5.370863-3 7.070513+0 4.377088-3 8.500626+0 3.567191-3 9.760024+0 3.059724-3 1.000000+1 6.297123-3 1 68000 7 0 1.672600+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-6.759723+1 1.946551-6-6.503747+1 2.230330-6-6.120959+1 2.333943-6-5.688311+1 2.382257-6-5.197141+1 2.403136-6-4.753964+1 2.413310-6-4.335311+1 2.439536-6-2.894053+1 2.444391-6-2.758381+1 2.449205-6-2.805157+1 2.453472-6-2.994219+1 2.458794-6-3.428786+1 2.464414-6-4.228978+1 2.473233-6-5.873737+1 2.478337-6-6.778510+1 2.484410-6-5.757328+1 2.489470-6-5.135479+1 2.495567-6-4.731645+1 2.501670-6-4.630187+1 2.509158-6-4.914955+1 2.539919-6-6.798138+1 2.581861-6-5.073659+1 2.593468-6-4.323184+1 2.597281-6-3.911926+1 2.601708-6-3.426856+1 2.609268-6-2.722026+1 2.618358-6-1.692310+1 2.622291-6-1.336373+1 2.623252-6-1.221074+1 2.625312-6-1.066729+1 2.630045-6-8.364789+0 2.631443-6-8.188298+0 2.632492-6-8.275673+0 2.634065-6-8.677409+0 2.636438-6-9.707774+0 2.637836-6-1.077210+1 2.639671-6-1.268074+1 2.641441-6-1.510643+1 2.644828-6-2.123651+1 2.647413-6-2.701940+1 2.653869-6-4.624479+1 2.659191-6-6.558144+1 2.659928-6-6.782529+1 2.661672-6-6.037412+1 2.669551-6-3.164828+1 2.675144-6-1.501857+1 2.676456-6-1.185631+1 2.677439-6-9.723947+0 2.678914-6-6.805360+0 2.680389-6-4.063337+0 2.681188-6-2.671636+0 2.682586-6-6.530853-1 2.683635-6 6.208585-1 2.685208-6 2.179014+0 2.685995-6 2.793582+0 2.686782-6 3.256481+0 2.688380-6 4.003391+0 2.689578-6 4.422173+0 2.691376-6 4.689442+0 2.692275-6 4.611951+0 2.696371-6 2.930158+0 2.697969-6 2.070775+0 2.698768-6 1.492140+0 2.699567-6 6.641824-1 2.700366-6-2.023387-1 2.703163-6-2.559175+0 2.704562-6-3.833121+0 2.705261-6-4.561783+0 2.705960-6-5.473851+0 2.714551-6-1.474919+1 2.723541-6-2.280050+1 2.726537-6-2.662592+1 2.730719-6-3.018307+1 2.739018-6-3.499348+1 2.752634-6-4.018902+1 2.773914-6-4.529318+1 2.809585-6-5.028865+1 2.884402-6-5.548898+1 3.022790-6-5.953135+1 3.388050-6-6.308250+1 4.026679-6-6.657121+1 4.098608-6-6.777830+1 4.143307-6-6.731717+1 4.207348-6-6.074648+1 4.353176-6-6.394942+1 4.702970-6-6.574158+1 4.782633-6-6.401519+1 4.979328-6-6.536275+1 6.349636-6-6.734528+1 6.471441-6-6.748222+1 6.597192-6-6.333482+1 6.640457-6-6.663613+1 6.651718-6-6.789114+1 6.706708-6-6.016485+1 6.744265-6-5.883990+1 6.883483-6-6.351775+1 7.409300-6-6.807064+1 7.523353-6-6.578731+1 7.569592-6-6.768206+1 7.641133-6-6.084719+1 7.696898-6-6.012592+1 7.839898-6-6.351232+1 8.376590-6-6.495144+1 1.708332-5-6.860255+1 2.125224-5-6.451266+1 2.294589-5-5.957582+1 2.378199-5-5.437249+1 2.435605-5-4.771307+1 2.467881-5-4.132088+1 2.485971-5-3.600745+1 2.501045-5-2.983571+1 2.510423-5-2.460633+1 2.515602-5-2.083757+1 2.525165-5-1.264933+1 2.528180-5-9.560272+0 2.531194-5-6.144738+0 2.532702-5-4.321675+0 2.534209-5-2.323820+0 2.537289-5 2.084649+0 2.538829-5 4.521667+0 2.540369-5 7.304388+0 2.542018-5 1.083077+1 2.543067-5 1.381508+1 2.545251-5 1.831980+1 2.548783-5 2.432606+1 2.554285-5 3.299510+1 2.555867-5 3.625001+1 2.563609-5 4.844451+1 2.569752-5 5.448955+1 2.574641-5 5.484691+1 2.578514-5 5.099532+1 2.582506-5 4.290170+1 2.585650-5 3.331350+1 2.589113-5 1.902964+1 2.590653-5 1.195519+1 2.591644-5 6.893929+0 2.592139-5 4.119859+0 2.592386-5 2.626788+0 2.592634-5 9.457862-1 2.593025-5-1.646869+0 2.596804-5-2.387781+1 2.598428-5-3.464925+1 2.599905-5-4.615920+1 2.603723-5-7.186125+1 2.605784-5-5.550373+1 2.611408-5-1.729862+1 2.611983-5-1.296382+1 2.612693-5-8.363966+0 2.613315-5-4.620841+0 2.614403-5 1.539413+0 2.617258-5 1.673611+1 2.617960-5 2.092763+1 2.618537-5 2.388692+1 2.620705-5 3.304554+1 2.622708-5 3.981997+1 2.625852-5 4.810982+1 2.629347-5 5.430129+1 2.633448-5 5.759942+1 2.635738-5 5.712656+1 2.641917-5 4.974692+1 2.643486-5 4.619076+1 2.648304-5 3.718873+1 2.656072-5 1.983409+1 2.657530-5 1.690432+1 2.662631-5 7.858124+0 2.665181-5 3.188183+0 2.666457-5 5.776397-1 2.667094-5-8.917498-1 2.667413-5-1.713449+0 2.668169-5-4.025629+0 2.668933-5-5.809388+0 2.670079-5-8.088875+0 2.671225-5-1.011034+1 2.674074-5-1.442446+1 2.677736-5-1.902679+1 2.684258-5-2.557040+1 2.691725-5-3.135969+1 2.703779-5-3.833680+1 2.729822-5-4.993729+1 2.748079-5-5.655099+1 2.762810-5-5.798022+1 2.793228-5-5.217473+1 2.807855-5-5.257572+1 2.844377-5-5.712169+1 2.962803-5-6.589888+1 3.016008-5-7.268788+1 3.049547-5-6.308788+1 3.065612-5-5.544852+1 3.072944-5-4.956454+1 3.079103-5-4.365638+1 3.088375-5-3.583526+1 3.097298-5-2.700048+1 3.104863-5-2.061888+1 3.111820-5-1.722172+1 3.114462-5-1.702352+1 3.117430-5-1.784829+1 3.119908-5-1.923076+1 3.123095-5-2.194577+1 3.127509-5-2.733231+1 3.131783-5-3.467713+1 3.137764-5-4.964447+1 3.141330-5-6.009125+1 3.144768-5-7.060273+1 3.149147-5-5.612261+1 3.152574-5-4.473315+1 3.156501-5-3.255299+1 3.158338-5-2.634663+1 3.164815-5-9.270708+0 3.165546-5-7.488020+0 3.166917-5-4.575676+0 3.168116-5-2.323901+0 3.169165-5-5.315654-1 3.171001-5 2.264398+0 3.172378-5 4.107192+0 3.174444-5 6.499334+0 3.176510-5 8.465732+0 3.177879-5 9.547444+0 3.180276-5 1.103932+1 3.182073-5 1.180710+1 3.183421-5 1.217272+1 3.185443-5 1.233773+1 3.186454-5 1.220468+1 3.190870-5 1.034155+1 3.193425-5 8.880315+0 3.195222-5 7.162414+0 3.198531-5 4.667744+0 3.200186-5 3.320334+0 3.201013-5 2.550854+0 3.201841-5 1.589788+0 3.209405-5-5.666388+0 3.210211-5-6.563983+0 3.223414-5-1.755123+1 3.226477-5-2.109595+1 3.231404-5-2.480688+1 3.242243-5-3.044178+1 3.256544-5-3.552532+1 3.273991-5-4.007278+1 3.309566-5-4.630183+1 3.330263-5-4.754799+1 3.371094-5-4.601486+1 3.461744-5-4.859890+1 3.779534-5-5.213542+1 4.704349-5-5.559800+1 6.144000-5-5.723392+1 1.109175-4-5.532280+1 1.681801-4-5.162082+1 1.780623-4-5.148846+1 2.059976-4-4.578351+1 2.380313-4-4.322939+1 3.069284-4-4.128936+1 3.157855-4-4.129638+1 3.485256-4-3.909076+1 4.302370-4-3.587261+1 5.128614-4-3.285427+1 6.557469-4-2.998465+1 8.293732-4-2.864672+1 1.014495-3-2.909464+1 1.166400-3-3.114312+1 1.265511-3-3.405647+1 1.322607-3-3.711777+1 1.358892-3-4.046762+1 1.381950-3-4.439705+1 1.409149-3-5.288130+1 1.419784-3-5.261966+1 1.441327-3-4.882817+1 1.462166-3-4.671502+1 1.489164-3-4.126013+1 1.542006-3-3.477353+1 1.590258-3-3.029313+1 1.644373-3-2.709839+1 1.718559-3-2.462576+1 1.761796-3-2.433640+1 1.794041-3-2.508066+1 1.811055-3-2.403412+1 1.845527-3-2.133092+1 1.892908-3-1.940208+1 1.954403-3-1.806415+1 1.996798-3-1.769259+1 2.041871-3-1.590610+1 2.111866-3-1.431342+1 2.192489-3-1.349457+1 2.256909-3-1.179922+1 2.359296-3-1.015837+1 2.490291-3-8.673818+0 2.681869-3-7.173691+0 2.879216-3-6.119233+0 3.141865-3-5.189754+0 3.381653-3-4.660088+0 3.714684-3-4.263789+0 4.153349-3-4.053184+0 4.659296-3-4.101176+0 5.343562-3-4.432392+0 6.083593-3-5.035670+0 6.790082-3-5.876547+0 7.344750-3-6.861000+0 7.712452-3-7.869828+0 7.959754-3-8.950446+0 8.115061-3-1.010294+1 8.204143-3-1.133424+1 8.311973-3-1.350820+1 8.353138-3-1.373929+1 8.404313-3-1.314565+1 8.501607-3-1.117355+1 8.595622-3-1.003691+1 8.722021-3-9.266284+0 8.895291-3-8.800433+0 9.053954-3-8.877916+0 9.167323-3-9.493166+0 9.255022-3-1.000356+1 9.315018-3-9.799667+0 9.463659-3-8.373431+0 9.569118-3-7.941877+0 9.712174-3-7.759278+0 9.806978-3-7.096274+0 9.933136-3-6.112991+0 1.011943-2-5.201148+0 1.039153-2-4.299054+0 1.078413-2-3.382333+0 1.115578-2-2.755573+0 1.156305-2-2.230566+0 1.206924-2-1.732468+0 1.258487-2-1.351812+0 1.300699-2-1.110125+0 1.351373-2-8.853162-1 1.389593-2-7.504837-1 1.450298-2-5.847926-1 1.496795-2-4.895434-1 1.570505-2-3.701262-1 1.622978-2-3.098429-1 1.664786-2-2.742032-1 1.740304-2-2.322876-1 1.826483-2-2.068474-1 1.923368-2-2.028644-1 2.001133-2-2.104109-1 2.111894-2-2.356896-1 2.205301-2-2.658045-1 2.462014-2-3.743159-1 3.885095-2-1.074555+0 4.534417-2-1.439443+0 4.950938-2-1.756082+0 5.226814-2-2.067170+0 5.416484-2-2.401123+0 5.532661-2-2.729922+0 5.610080-2-3.094115+0 5.663170-2-3.543879+0 5.732965-2-4.351057+0 5.761460-2-4.427621+0 5.793851-2-4.190089+0 5.872457-2-3.196572+0 5.915988-2-2.841977+0 5.983922-2-2.477571+0 6.079090-2-2.136602+0 6.210332-2-1.814729+0 6.396046-2-1.495307+0 6.590069-2-1.258365+0 6.789945-2-1.078050+0 7.067814-2-8.939693-1 7.426533-2-7.232039-1 7.768195-2-6.070582-1 8.147725-2-5.115354-1 8.540260-2-4.416081-1 8.941817-2-3.895106-1 9.424457-2-3.471397-1 1.018518-1-3.080852-1 1.122172-1-2.861294-1 1.260642-1-2.875449-1 1.503634-1-3.186926-1 2.121682-1-4.122456-1 2.765151-1-4.796512-1 3.765713-1-5.394269-1 5.348505-1-5.837956-1 8.913100-1-6.164082-1 2.688134+0-6.327624-1 8.118035+0-6.356460-1 1.000000+1-6.352456-1 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.881858-2 1.093285-6 1.501239-1 1.161540-6 2.015014-1 1.194115-6 2.309616-1 1.255195-6 2.974276-1 1.317281-6 3.819136-1 1.355437-6 4.451272-1 1.415693-6 5.653719-1 1.472241-6 7.060252-1 1.525311-6 8.690938-1 1.575115-6 1.056316+0 1.621856-6 1.269399+0 1.644136-6 1.386259+0 1.665720-6 1.511380+0 1.707540-6 1.787325+0 1.746745-6 2.093623+0 1.783501-6 2.432996+0 1.817959-6 2.806771+0 1.850263-6 3.216115+0 1.880549-6 3.662022+0 1.908942-6 4.145290+0 1.935560-6 4.666499+0 1.960514-6 5.226000+0 1.983909-6 5.823909+0 2.005842-6 6.460310+0 2.026403-6 7.135148+0 2.048000-6 7.937078+0 2.063752-6 8.591286+0 2.080695-6 9.371678+0 2.096578-6 1.018597+1 2.111469-6 1.103304+1 2.125429-6 1.191252+1 2.138517-6 1.282211+1 2.163056-6 1.477794+1 2.184528-6 1.681100+1 2.203316-6 1.890261+1 2.219755-6 2.102854+1 2.234140-6 2.316402+1 2.246726-6 2.528586+1 2.257739-6 2.737120+1 2.267376-6 2.939772+1 2.284240-6 3.348019+1 2.296887-6 3.708516+1 2.306373-6 4.016403+1 2.320602-6 4.552418+1 2.327717-6 4.860705+1 2.334831-6 5.201260+1 2.346325-6 5.833041+1 2.352072-6 6.194039+1 2.357819-6 6.590847+1 2.363566-6 7.028877+1 2.369312-6 7.514748+1 2.375059-6 8.056689+1 2.380806-6 8.665115+1 2.386553-6 9.353514+1 2.392300-6 1.013981+2 2.398047-6 1.104850+2 2.403794-6 1.211380+2 2.409541-6 1.338420+2 2.415288-6 1.492828+2 2.421034-6 1.684141+2 2.426781-6 1.925201+2 2.432528-6 2.232526+2 2.435402-6 2.417183+2 2.438275-6 2.626157+2 2.441149-6 2.862344+2 2.444022-6 3.128680+2 2.446895-6 3.428054+2 2.452768-6 4.153797+2 2.463566-6 5.931309+2 2.467826-6 6.793098+2 2.470856-6 7.455729+2 2.473885-6 8.153948+2 2.479945-6 9.626755+2 2.480702-6 9.815100+2 2.486004-6 1.113253+3 2.488087-6 1.163950+3 2.492063-6 1.256680+3 2.494146-6 1.302182+3 2.496134-6 1.343042+3 2.498123-6 1.380946+3 2.500774-6 1.426170+3 2.503330-6 1.463230+3 2.505697-6 1.491149+3 2.507685-6 1.509460+3 2.510241-6 1.525675+3 2.513650-6 1.533840+3 2.516490-6 1.528550+3 2.517545-6 1.523767+3 2.520554-6 1.501821+3 2.523341-6 1.470839+3 2.525685-6 1.437234+3 2.528584-6 1.386872+3 2.530675-6 1.345018+3 2.534668-6 1.254069+3 2.536851-6 1.199238+3 2.538464-6 1.156881+3 2.541295-6 1.079570+3 2.543988-6 1.003621+3 2.546597-6 9.288707+2 2.549248-6 8.528423+2 2.552018-6 7.743897+2 2.555686-6 6.736897+2 2.558337-6 6.042662+2 2.559095-6 5.850536+2 2.562645-6 4.991953+2 2.564775-6 4.513065+2 2.571213-6 3.248553+2 2.573166-6 2.921641+2 2.576894-6 2.371382+2 2.583847-6 1.596088+2 2.586254-6 1.399713+2 2.587872-6 1.287260+2 2.589343-6 1.198237+2 2.590889-6 1.117836+2 2.592220-6 1.059213+2 2.593643-6 1.007005+2 2.594905-6 9.696184+1 2.596050-6 9.427955+1 2.597052-6 9.247778+1 2.598805-6 9.053066+1 2.600120-6 9.006470+1 2.602092-6 9.094662+1 2.604064-6 9.371721+1 2.610474-6 1.159855+2 2.616883-6 1.601943+2 2.620088-6 1.917477+2 2.629703-6 3.339310+2 2.632907-6 4.007535+2 2.637715-6 5.235967+2 2.640118-6 5.964821+2 2.642522-6 6.778200+2 2.646675-6 8.400169+2 2.649761-6 9.798020+2 2.652908-6 1.140349+3 2.655947-6 1.313575+3 2.661750-6 1.695308+3 2.665069-6 1.943679+3 2.672005-6 2.528355+3 2.673535-6 2.667938+3 2.677551-6 3.048932+3 2.680636-6 3.352674+3 2.685224-6 3.813420+3 2.687233-6 4.015571+3 2.690106-6 4.301267+3 2.692875-6 4.569780+3 2.696244-6 4.881728+3 2.698117-6 5.045821+3 2.700794-6 5.266005+3 2.703993-6 5.503036+3 2.707703-6 5.735968+3 2.710864-6 5.894125+3 2.712503-6 5.960243+3 2.715804-6 6.058785+3 2.717762-6 6.094670+3 2.724022-6 6.094355+3 2.726941-6 6.035074+3 2.730345-6 5.920871+3 2.733861-6 5.755646+3 2.736873-6 5.579698+3 2.740188-6 5.354153+3 2.743400-6 5.108770+3 2.746256-6 4.872933+3 2.749010-6 4.633492+3 2.753192-6 4.255071+3 2.756456-6 3.953759+3 2.760127-6 3.615335+3 2.762983-6 3.356412+3 2.769511-6 2.792771+3 2.771755-6 2.611252+3 2.776038-6 2.285744+3 2.781750-6 1.898670+3 2.788781-6 1.498848+3 2.799706-6 1.035441+3 2.805105-6 8.675509+2 2.807788-6 7.966968+2 2.810461-6 7.334939+2 2.815787-6 6.268336+2 2.821070-6 5.422547+2 2.826313-6 4.749831+2 2.831514-6 4.211075+2 2.836675-6 3.775212+2 2.841796-6 3.418179+2 2.846876-6 3.121685+2 2.851917-6 2.872012+2 2.856919-6 2.658941+2 2.861881-6 2.474873+2 2.871728-6 2.171357+2 2.881422-6 1.932037+2 2.890964-6 1.738251+2 2.900357-6 1.578154+2 2.909603-6 1.443793+2 2.918704-6 1.329583+2 2.927664-6 1.231455+2 2.936483-6 1.146357+2 2.945165-6 1.071947+2 2.953711-6 1.006392+2 2.970536-6 8.955487+1 2.986835-6 8.064406+1 3.002624-6 7.334361+1 3.017921-6 6.727195+1 3.032739-6 6.215832+1 3.047094-6 5.780445+1 3.061001-6 5.406128+1 3.074473-6 5.081323+1 3.100575-6 4.538130+1 3.125046-6 4.111042+1 3.147987-6 3.768188+1 3.169494-6 3.488411+1 3.189658-6 3.256880+1 3.208561-6 3.062748+1 3.244004-6 2.746632+1 3.275017-6 2.511070+1 3.302153-6 2.331160+1 3.325897-6 2.190829+1 3.367449-6 1.975730+1 3.398614-6 1.835413+1 3.445360-6 1.652128+1 3.526488-6 1.390521+1 3.664014-6 1.059596+1 3.844132-6 7.201146+0 3.873079-6 6.668911+0 3.898408-6 6.197859+0 3.920571-6 5.773786+0 3.939964-6 5.387913+0 3.956932-6 5.034594+0 3.971780-6 4.709861+0 3.984771-6 4.410821+0 3.996139-6 4.135389+0 4.006085-6 3.882140+0 4.022404-6 3.438803+0 4.035731-6 3.050938+0 4.045726-6 2.748517+0 4.053222-6 2.519622+0 4.059000-6 2.345374+0 4.075712-6 1.887075+0 4.078219-6 1.829368+0 4.085743-6 1.685135+0 4.090759-6 1.619889+0 4.094521-6 1.591575+0 4.095775-6 1.586635+0 4.103299-6 1.612443+0 4.105807-6 1.645190+0 4.107061-6 1.666687+0 4.113644-6 1.841988+0 4.115839-6 1.926135+0 4.118817-6 2.063225+0 4.122344-6 2.262301+0 4.125430-6 2.471791+0 4.129846-6 2.833822+0 4.134773-6 3.331927+0 4.147057-6 5.064113+0 4.156351-6 6.896777+0 4.158960-6 7.497816+0 4.166552-6 9.467610+0 4.171566-6 1.094626+1 4.177465-6 1.285958+1 4.181846-6 1.439243+1 4.186580-6 1.614497+1 4.191288-6 1.797138+1 4.195881-6 1.981621+1 4.200746-6 2.181609+1 4.205758-6 2.389715+1 4.210479-6 2.584854+1 4.215122-6 2.773124+1 4.217120-6 2.852333+1 4.221891-6 3.035291+1 4.226662-6 3.207165+1 4.228491-6 3.269500+1 4.234753-6 3.465325+1 4.238669-6 3.572149+1 4.247018-6 3.753780+1 4.250517-6 3.809708+1 4.258150-6 3.888096+1 4.263072-6 3.906588+1 4.265422-6 3.906675+1 4.268945-6 3.896496+1 4.272469-6 3.874358+1 4.275029-6 3.851106+1 4.280788-6 3.778243+1 4.285219-6 3.704607+1 4.287730-6 3.656844+1 4.294397-6 3.511904+1 4.299163-6 3.395069+1 4.306794-6 3.191964+1 4.316969-6 2.905308+1 4.328441-6 2.583259+1 4.354380-6 1.955279+1 4.364619-6 1.762170+1 4.373531-6 1.619721+1 4.382165-6 1.502451+1 4.390529-6 1.405911+1 4.406734-6 1.257462+1 4.421926-6 1.152465+1 4.436169-6 1.074387+1 4.449522-6 1.013496+1 4.474558-6 9.202734+0 4.496465-6 8.530378+0 4.534801-6 7.533204+0 4.592306-6 6.188499+0 4.621058-6 5.471123+0 4.635435-6 5.087034+0 4.649811-6 4.695970+0 4.666978-6 4.255331+0 4.675089-6 4.076382+0 4.684146-6 3.915716+0 4.695590-6 3.796730+0 4.698103-6 3.786261+0 4.709610-6 3.825202+0 4.712487-6 3.859440+0 4.721117-6 4.026645+0 4.725566-6 4.152028+0 4.729812-6 4.297007+0 4.734058-6 4.466513+0 4.739854-6 4.736314+0 4.746361-6 5.088853+0 4.767438-6 6.503145+0 4.775886-6 7.129537+0 4.780213-6 7.449260+0 4.791751-6 8.262004+0 4.793194-6 8.356982+0 4.803290-6 8.961577+0 4.807783-6 9.190380+0 4.816360-6 9.545936+0 4.819238-6 9.639610+0 4.824276-6 9.771116+0 4.828054-6 9.842310+0 4.833722-6 9.905072+0 4.839389-6 9.916133+0 4.843542-6 9.892739+0 4.847696-6 9.844122+0 4.856326-6 9.669393+0 4.859203-6 9.591236+0 4.870710-6 9.196943+0 4.878709-6 8.862965+0 4.889590-6 8.359581+0 4.901097-6 7.799033+0 4.920840-6 6.858211+0 4.940146-6 6.054057+0 4.946219-6 5.836214+0 4.958363-6 5.460558+0 4.970508-6 5.172979+0 4.982652-6 4.980527+0 4.988725-6 4.921073+0 4.994797-6 4.886028+0 5.000869-6 4.874764+0 5.005424-6 4.881269+0 5.012255-6 4.913440+0 5.019086-6 4.969814+0 5.026860-6 5.058581+0 5.043375-6 5.303363+0 5.058556-6 5.543124+0 5.071446-6 5.714421+0 5.077118-6 5.772643+0 5.082791-6 5.818013+0 5.088118-6 5.848028+0 5.096108-6 5.869419+0 5.104098-6 5.862983+0 5.110171-6 5.840855+0 5.116243-6 5.805615+0 5.128388-6 5.704322+0 5.159062-6 5.380989+0 5.168014-6 5.297415+0 5.177430-6 5.223243+0 5.191868-6 5.139576+0 5.204584-6 5.093179+0 5.228944-6 5.048525+0 5.265585-6 4.994651+0 5.294949-6 4.922388+0 5.411283-6 4.593222+0 5.458423-6 4.439997+0 5.558235-6 4.081999+0 5.669563-6 3.752382+0 5.759701-6 3.473871+0 5.803577-6 3.329258+0 5.855830-6 3.147119+0 5.908082-6 2.957229+0 6.030886-6 2.491012+0 6.069018-6 2.335055+0 6.135751-6 2.042596+0 6.185800-6 1.805529+0 6.223337-6 1.616804+0 6.251490-6 1.468890+0 6.272605-6 1.354381+0 6.304277-6 1.177126+0 6.325871-6 1.052908+0 6.335949-6 9.941855-1 6.351544-6 9.026605-1 6.367139-6 8.108013-1 6.382734-6 7.193533-1 6.398329-6 6.294176-1 6.413924-6 5.426457-1 6.421722-6 5.011940-1 6.437317-6 4.243968-1 6.445115-6 3.903372-1 6.453995-6 3.565656-1 6.462875-6 3.298923-1 6.470828-6 3.140023-1 6.478782-6 3.080311-1 6.485341-6 3.126238-1 6.491900-6 3.279892-1 6.495799-6 3.432243-1 6.501647-6 3.761771-1 6.504571-6 3.978243-1 6.507495-6 4.233457-1 6.512248-6 4.740075-1 6.515812-6 5.203291-1 6.518485-6 5.602700-1 6.520490-6 5.933856-1 6.525001-6 6.786824-1 6.530179-6 7.970679-1 6.537713-6 1.014892+0 6.555727-6 1.820310+0 6.563907-6 2.357995+0 6.569876-6 2.835180+0 6.576699-6 3.481064+0 6.582181-6 4.086827+0 6.587420-6 4.745416+0 6.593390-6 5.599596+0 6.601066-6 6.875510+0 6.606712-6 7.952717+0 6.613200-6 9.346840+0 6.617575-6 1.038649+1 6.621950-6 1.150981+1 6.629904-6 1.377445+1 6.636863-6 1.599871+1 6.640748-6 1.734062+1 6.650646-6 2.108410+1 6.656867-6 2.367092+1 6.660201-6 2.512900+1 6.670203-6 2.978365+1 6.676459-6 3.288808+1 6.687428-6 3.862162+1 6.694349-6 4.237824+1 6.701956-6 4.657431+1 6.708711-6 5.031201+1 6.715767-6 5.417694+1 6.721855-6 5.743778+1 6.729590-6 6.142274+1 6.735742-6 6.442104+1 6.743617-6 6.797537+1 6.751524-6 7.115812+1 6.754992-6 7.241552+1 6.762967-6 7.495171+1 6.770403-6 7.683587+1 6.775121-6 7.777616+1 6.781877-6 7.876453+1 6.787491-6 7.925923+1 6.790744-6 7.940936+1 6.801528-6 7.919735+1 6.809324-6 7.838537+1 6.816880-6 7.710280+1 6.825196-6 7.517366+1 6.833256-6 7.284307+1 6.840420-6 7.044295+1 6.847790-6 6.770477+1 6.857820-6 6.363664+1 6.866007-6 6.011070+1 6.869894-6 5.839540+1 6.881555-6 5.317811+1 6.899978-6 4.505806+1 6.915135-6 3.882462+1 6.933558-6 3.209681+1 6.964262-6 2.329776+1 6.972450-6 2.145228+1 6.980638-6 1.979895+1 6.990750-6 1.800154+1 7.000704-6 1.647007+1 7.010502-6 1.516577+1 7.020147-6 1.405333+1 7.039136-6 1.227115+1 7.057531-6 1.094126+1 7.075352-6 9.919866+0 7.092616-6 9.110352+0 7.109340-6 8.449276+0 7.141743-6 7.405981+0 7.172121-6 6.617937+0 7.200601-6 5.989117+0 7.254000-6 4.993920+0 7.347448-6 3.550382+0 7.382491-6 3.052895+0 7.417533-6 2.565130+0 7.439983-6 2.256068+0 7.463459-6 1.937462+0 7.484001-6 1.667905+0 7.517702-6 1.279269+0 7.531463-6 1.162234+0 7.543504-6 1.095721+0 7.554040-6 1.076368+0 7.563259-6 1.098910+0 7.571325-6 1.156778+0 7.578384-6 1.242801+0 7.584560-6 1.349838+0 7.589964-6 1.471258+0 7.594692-6 1.601238+0 7.598830-6 1.734903+0 7.602450-6 1.868355+0 7.608389-6 2.123488+0 7.616418-6 2.547346+0 7.642760-6 4.719188+0 7.651260-6 5.724961+0 7.659401-6 6.848185+0 7.667065-6 8.056993+0 7.676656-6 9.785290+0 7.684703-6 1.142409+1 7.691701-6 1.298959+1 7.700093-6 1.503546+1 7.708190-6 1.717536+1 7.711559-6 1.811109+1 7.721666-6 2.106302+1 7.726576-6 2.256696+1 7.733172-6 2.464691+1 7.740283-6 2.695070+1 7.748628-6 2.970716+1 7.754717-6 3.173477+1 7.762399-6 3.428527+1 7.768851-6 3.639882+1 7.777448-6 3.913815+1 7.789495-6 4.274518+1 7.797776-6 4.500941+1 7.801423-6 4.593919+1 7.810246-6 4.799416+1 7.817263-6 4.941257+1 7.835488-6 5.208895+1 7.841539-6 5.263301+1 7.854263-6 5.319704+1 7.860314-6 5.319070+1 7.866089-6 5.302352+1 7.875008-6 5.246779+1 7.884636-6 5.148790+1 7.893920-6 5.020531+1 7.903215-6 4.863150+1 7.909414-6 4.744334+1 7.918802-6 4.547045+1 7.928189-6 4.333395+1 7.932883-6 4.222039+1 7.946964-6 3.877275+1 7.965739-6 3.413677+1 7.975523-6 3.179685+1 8.022167-6 2.236900+1 8.035027-6 2.039679+1 8.042742-6 1.934646+1 8.052515-6 1.815234+1 8.062234-6 1.710590+1 8.071953-6 1.618761+1 8.081671-6 1.538357+1 8.091390-6 1.467930+1 8.110827-6 1.351294+1 8.130265-6 1.258304+1 8.149442-6 1.181545+1 8.160949-6 1.140253+1 8.188577-6 1.051197+1 8.208015-6 9.961598+0 8.227452-6 9.484549+0 8.241297-6 9.199529+0 8.256325-6 8.950627+0 8.266327-6 8.823120+0 8.276046-6 8.729758+0 8.285765-6 8.666725+0 8.293454-6 8.637971+0 8.304987-6 8.628135+0 8.316520-6 8.654801+0 8.335260-6 8.761799+0 8.386929-6 9.224933+0 8.401994-6 9.333801+0 8.410636-6 9.379819+0 8.423598-6 9.421508+0 8.436561-6 9.426873+0 8.449408-6 9.394587+0 8.462256-6 9.325276+0 8.482343-6 9.148593+0 8.502430-6 8.902534+0 8.522517-6 8.606835+0 8.542604-6 8.281936+0 8.591501-6 7.472227+0 8.633795-6 6.836571+0 8.689011-6 6.143702+0 8.731785-6 5.717658+0 8.753172-6 5.545826+0 8.774559-6 5.405631+0 8.795946-6 5.299686+0 8.812388-6 5.242096+0 8.828831-6 5.204484+0 8.844469-6 5.185486+0 8.860106-6 5.180141+0 8.937633-6 5.221205+0 8.950998-6 5.216830+0 8.972145-6 5.192699+0 8.993292-6 5.145922+0 9.009814-6 5.094530+0 9.031201-6 5.012340+0 9.119752-6 4.619037+0 9.164317-6 4.458965+0 9.245564-6 4.225186+0 9.275730-6 4.136178+0 9.305684-6 4.039652+0 9.376514-6 3.775941+0 9.429126-6 3.567750+0 9.477600-6 3.415400+0 9.500654-6 3.375702+0 9.524630-6 3.367590+0 9.540608-6 3.383990+0 9.551977-6 3.406939+0 9.567516-6 3.453493+0 9.580528-6 3.505403+0 9.602606-6 3.617199+0 9.663539-6 4.006251+0 9.693800-6 4.182270+0 9.712666-6 4.267086+0 9.720633-6 4.295494+0 9.734574-6 4.333536+0 9.745031-6 4.351922+0 9.760715-6 4.362986+0 9.776400-6 4.354760+0 9.800629-6 4.307567+0 9.822703-6 4.234193+0 9.855484-6 4.088034+0 9.892129-6 3.897940+0 9.971172-6 3.498859+0 1.002026-5 3.302385+0 1.004480-5 3.225645+0 1.006934-5 3.165394+0 1.009389-5 3.122631+0 1.011106-5 3.103159+0 1.012823-5 3.091881+0 1.015008-5 3.088116+0 1.019206-5 3.104758+0 1.024114-5 3.135280+0 1.027957-5 3.143579+0 1.030039-5 3.137771+0 1.033931-5 3.106749+0 1.038840-5 3.040967+0 1.046827-5 2.925790+0 1.051359-5 2.874460+0 1.064333-5 2.762695+0 1.074331-5 2.675429+0 1.080153-5 2.619782+0 1.085905-5 2.558747+0 1.094658-5 2.452320+0 1.108753-5 2.279229+0 1.117681-5 2.192847+0 1.128737-5 2.102992+0 1.156501-5 1.877448+0 1.165000-5 1.809805+0 1.196547-5 1.559416+0 1.220000-5 1.382416+0 1.258925-5 1.102343+0 1.290938-5 8.899533-1 1.327004-5 6.733477-1 1.350000-5 5.490202-1 1.373664-5 4.332979-1 1.400000-5 3.190204-1 1.427365-5 2.188143-1 1.447917-5 1.576542-1 1.470658-5 1.053926-1 1.492663-5 7.108334-2 1.511967-5 5.533158-2 1.518207-5 5.335295-2 1.530705-5 5.435231-2 1.537734-5 5.796553-2 1.543503-5 6.264107-2 1.548273-5 6.768906-2 1.564742-5 9.340048-2 1.580183-5 1.296000-1 1.594658-5 1.750051-1 1.610000-5 2.361005-1 1.624274-5 3.061605-1 1.638400-5 3.894725-1 1.664370-5 5.738454-1 1.686959-5 6.955131-1 1.687935-5 6.972811-1 1.717510-5 6.191405-1 1.739606-5 5.092813-1 1.757924-5 4.231300-1 1.776260-5 3.439704-1 1.794022-5 2.748210-1 1.811785-5 2.139786-1 1.825164-5 1.745913-1 1.840941-5 1.364454-1 1.847461-5 1.235936-1 1.856380-5 1.090286-1 1.860839-5 1.031256-1 1.865299-5 9.818917-2 1.869758-5 9.425809-2 1.874218-5 9.137494-2 1.878677-5 8.958577-2 1.883137-5 8.893849-2 1.887596-5 8.948019-2 1.892056-5 9.125419-2 1.896515-5 9.429809-2 1.900975-5 9.864379-2 1.920975-5 1.349492-1 1.940975-5 2.018683-1 1.950530-5 2.464985-1 1.964863-5 3.311558-1 1.974418-5 4.005987-1 1.988750-5 5.264101-1 2.003082-5 6.809070-1 2.020000-5 9.052002-1 2.031747-5 1.091620+0 2.036525-5 1.175339+0 2.059623-5 1.650081+0 2.081278-5 2.215688+0 2.101579-5 2.876106+0 2.120611-5 3.633247+0 2.138454-5 4.487328+0 2.158060-5 5.615104+0 2.185566-5 7.612086+0 2.283821-5 2.152344+1 2.312479-5 2.908006+1 2.334421-5 3.674725+1 2.346536-5 4.189576+1 2.359060-5 4.806242+1 2.379638-5 6.052865+1 2.392868-5 7.049103+1 2.406097-5 8.241206+1 2.417942-5 9.514766+1 2.429786-5 1.103143+2 2.441169-5 1.277605+2 2.453502-5 1.507236+2 2.459476-5 1.637251+2 2.465357-5 1.779585+2 2.471242-5 1.938422+2 2.477165-5 2.117379+2 2.483087-5 2.318648+2 2.489009-5 2.546069+2 2.496086-5 2.858861+2 2.502680-5 3.199415+2 2.507859-5 3.507552+2 2.512964-5 3.853878+2 2.518621-5 4.298035+2 2.524543-5 4.848207+2 2.529910-5 5.442895+2 2.535277-5 6.155525+2 2.541518-5 7.179469+2 2.547758-5 8.487266+2 2.550878-5 9.279623+2 2.555773-5 1.075956+3 2.560238-5 1.242147+3 2.563359-5 1.379877+3 2.566479-5 1.538638+3 2.570524-5 1.781071+3 2.574570-5 2.071955+3 2.580907-5 2.645199+3 2.593626-5 4.354238+3 2.598402-5 5.229099+3 2.602638-5 6.123247+3 2.605921-5 6.893930+3 2.607891-5 7.388530+3 2.612693-5 8.691108+3 2.615095-5 9.390117+3 2.620697-5 1.112419+4 2.622898-5 1.183623+4 2.627602-5 1.339047+4 2.631420-5 1.465831+4 2.633271-5 1.526530+4 2.635902-5 1.611063+4 2.638644-5 1.695951+4 2.641723-5 1.785814+4 2.645122-5 1.876252+4 2.647602-5 1.935190+4 2.651502-5 2.013633+4 2.654793-5 2.064468+4 2.658099-5 2.099905+4 2.660963-5 2.117152+4 2.664389-5 2.120812+4 2.666168-5 2.115348+4 2.672123-5 2.061151+4 2.674987-5 2.016362+4 2.677909-5 1.959241+4 2.680362-5 1.903172+4 2.683385-5 1.825096+4 2.685154-5 1.775386+4 2.688056-5 1.688426+4 2.690278-5 1.618114+4 2.693454-5 1.513479+4 2.696771-5 1.400872+4 2.700738-5 1.264701+4 2.703939-5 1.155755+4 2.707541-5 1.036264+4 2.710343-5 9.467138+3 2.716779-5 7.560625+3 2.719074-5 6.940066+3 2.721694-5 6.273323+3 2.725623-5 5.358615+3 2.729996-5 4.461759+3 2.733372-5 3.854292+3 2.738300-5 3.093142+3 2.743266-5 2.463592+3 2.758765-5 1.196816+3 2.763854-5 9.499975+2 2.770641-5 7.085524+2 2.777427-5 5.428845+2 2.779123-5 5.108233+2 2.784213-5 4.329412+2 2.785910-5 4.123618+2 2.790999-5 3.641722+2 2.792139-5 3.558540+2 2.794412-5 3.416412+2 2.795630-5 3.352325+2 2.797874-5 3.254392+2 2.800119-5 3.180142+2 2.801524-5 3.144498+2 2.802753-5 3.119540+2 2.804904-5 3.088548+2 2.807727-5 3.069206+2 2.810450-5 3.069429+2 2.814751-5 3.097693+2 2.818992-5 3.146529+2 2.825778-5 3.236979+2 2.831716-5 3.300636+2 2.834049-5 3.316944+2 2.838691-5 3.330452+2 2.842459-5 3.321039+2 2.844190-5 3.310411+2 2.847572-5 3.278428+2 2.850040-5 3.246159+2 2.853634-5 3.186894+2 2.857299-5 3.113520+2 2.863690-5 2.962112+2 2.870320-5 2.787086+2 2.889871-5 2.287873+2 2.897420-5 2.128529+2 2.905634-5 1.978652+2 2.914246-5 1.842783+2 2.952749-5 1.367905+2 2.973914-5 1.155302+2 3.019811-5 7.965940+1 3.029950-5 7.370898+1 3.039427-5 6.886811+1 3.045075-5 6.633530+1 3.050846-5 6.403260+1 3.058378-5 6.147407+1 3.065139-5 5.961744+1 3.072363-5 5.810728+1 3.077700-5 5.733058+1 3.083309-5 5.688085+1 3.086404-5 5.683128+1 3.088619-5 5.690279+1 3.091167-5 5.711669+1 3.093514-5 5.746140+1 3.095869-5 5.797813+1 3.099255-5 5.909053+1 3.102468-5 6.065375+1 3.105087-5 6.239092+1 3.108264-5 6.519823+1 3.110825-5 6.814571+1 3.111979-5 6.970927+1 3.113756-5 7.244349+1 3.115985-5 7.649804+1 3.117147-5 7.892306+1 3.118764-5 8.269068+1 3.120330-5 8.682164+1 3.121847-5 9.132187+1 3.123316-5 9.619512+1 3.126163-5 1.072553+2 3.128833-5 1.198470+2 3.131335-5 1.339222+2 3.133681-5 1.494026+2 3.135881-5 1.661850+2 3.137943-5 1.841461+2 3.141688-5 2.230438+2 3.149273-5 3.321959+2 3.155742-5 4.661941+2 3.160076-5 5.820713+2 3.164029-5 7.089453+2 3.168350-5 8.733635+2 3.172023-5 1.036103+3 3.174348-5 1.150660+3 3.178059-5 1.352914+3 3.180572-5 1.503744+3 3.184472-5 1.760187+3 3.186787-5 1.925272+3 3.189529-5 2.132846+3 3.192792-5 2.396165+3 3.193767-5 2.478156+3 3.201084-5 3.135991+3 3.203623-5 3.378808+3 3.209097-5 3.918718+3 3.212522-5 4.261998+3 3.214527-5 4.462594+3 3.217815-5 4.788194+3 3.221360-5 5.129859+3 3.224508-5 5.420493+3 3.227987-5 5.722604+3 3.231216-5 5.980736+3 3.232349-5 6.065415+3 3.236165-5 6.325302+3 3.239938-5 6.539760+3 3.242612-5 6.663566+3 3.246164-5 6.789509+3 3.248694-5 6.851292+3 3.255983-5 6.895978+3 3.259506-5 6.847102+3 3.263101-5 6.751916+3 3.266063-5 6.640975+3 3.269322-5 6.487561+3 3.273209-5 6.265706+3 3.275542-5 6.114642+3 3.278124-5 5.933776+3 3.281512-5 5.677778+3 3.284780-5 5.414799+3 3.289769-5 4.991956+3 3.293669-5 4.651322+3 3.298056-5 4.265846+3 3.301468-5 3.969193+3 3.309268-5 3.319163+3 3.312071-5 3.099388+3 3.318470-5 2.632539+3 3.325284-5 2.194628+3 3.340868-5 1.431022+3 3.344885-5 1.284073+3 3.348901-5 1.155040+3 3.353525-5 1.026684+3 3.358148-5 9.176493+2 3.365450-5 7.792120+2 3.373630-5 6.641952+2 3.381873-5 5.814683+2 3.385994-5 5.500114+2 3.390116-5 5.240216+2 3.393390-5 5.067854+2 3.398302-5 4.858407+2 3.404040-5 4.676832+2 3.406374-5 4.619420+2 3.411114-5 4.527346+2 3.416235-5 4.458502+2 3.424315-5 4.396888+2 3.432783-5 4.369385+2 3.444666-5 4.349943+2 3.453600-5 4.325558+2 3.459547-5 4.298759+2 3.468372-5 4.241384+2 3.475121-5 4.184570+2 3.486853-5 4.067110+2 3.512684-5 3.792711+2 3.526963-5 3.662543+2 3.540546-5 3.557777+2 3.572683-5 3.354701+2 3.632331-5 3.012398+2 3.657598-5 2.885591+2 3.693720-5 2.732719+2 3.751581-5 2.534554+2 3.806404-5 2.382172+2 3.890451-5 2.193421+2 3.956940-5 2.071219+2 4.029035-5 1.960240+2 4.110000-5 1.853688+2 4.197272-5 1.756428+2 4.294486-5 1.664778+2 4.395956-5 1.582208+2 4.511977-5 1.502520+2 4.669017-5 1.413208+2 4.843533-5 1.331642+2 5.017946-5 1.265388+2 5.215682-5 1.202359+2 5.390783-5 1.154707+2 5.449196-5 1.141997+2 5.484375-5 1.137608+2 5.551050-5 1.133760+2 5.599743-5 1.127902+2 5.723467-5 1.105159+2 5.982732-5 1.076681+2 6.242152-5 1.058590+2 6.573601-5 1.051580+2 6.850000-5 1.056805+2 7.275758-5 1.082970+2 7.800000-5 1.139664+2 8.352824-5 1.221276+2 9.015711-5 1.341374+2 9.549926-5 1.448829+2 1.047129-4 1.648968+2 1.228800-4 2.086520+2 1.312457-4 2.285027+2 1.382400-4 2.435404+2 1.428894-4 2.519681+2 1.462177-4 2.567212+2 1.495526-4 2.598520+2 1.516773-4 2.606922+2 1.533371-4 2.604942+2 1.547363-4 2.595353+2 1.562296-4 2.574975+2 1.571085-4 2.556599+2 1.581203-4 2.527741+2 1.589426-4 2.496765+2 1.597548-4 2.458277+2 1.611466-4 2.378067+2 1.616421-4 2.354553+2 1.620214-4 2.346633+2 1.624366-4 2.357424+2 1.627739-4 2.390056+2 1.630553-4 2.440547+2 1.632605-4 2.494398+2 1.635670-4 2.607466+2 1.638266-4 2.739421+2 1.640204-4 2.862859+2 1.641969-4 2.995705+2 1.643336-4 3.112881+2 1.645695-4 3.346106+2 1.647480-4 3.549973+2 1.652127-4 4.194613+2 1.658406-4 5.317891+2 1.662456-4 6.167625+2 1.666032-4 6.966397+2 1.668599-4 7.548375+2 1.671226-4 8.134379+2 1.673455-4 8.611242+2 1.675651-4 9.052017+2 1.677993-4 9.478572+2 1.680102-4 9.815023+2 1.682425-4 1.012377+3 1.684842-4 1.036687+3 1.686459-4 1.048136+3 1.690304-4 1.058919+3 1.691717-4 1.056975+3 1.694343-4 1.045095+3 1.695720-4 1.034743+3 1.696789-4 1.024873+3 1.698244-4 1.009002+3 1.699757-4 9.897552+2 1.702260-4 9.526172+2 1.703844-4 9.262714+2 1.706281-4 8.826119+2 1.708306-4 8.444801+2 1.710838-4 7.960070+2 1.718229-4 6.655074+2 1.718483-4 6.616468+2 1.726533-4 5.741828+2 1.727759-4 5.677048+2 1.729047-4 5.630252+2 1.730923-4 5.601380+2 1.732436-4 5.611946+2 1.733906-4 5.650648+2 1.735891-4 5.745888+2 1.736846-4 5.808539+2 1.738246-4 5.918963+2 1.740147-4 6.101915+2 1.742992-4 6.437249+2 1.747885-4 7.136795+2 1.751691-4 7.728701+2 1.755433-4 8.293698+2 1.757671-4 8.603074+2 1.760923-4 8.991355+2 1.762078-4 9.108050+2 1.763991-4 9.273374+2 1.765803-4 9.395606+2 1.766695-4 9.443019+2 1.768999-4 9.525485+2 1.771142-4 9.550364+2 1.773701-4 9.516473+2 1.775768-4 9.441617+2 1.777714-4 9.335830+2 1.780780-4 9.108899+2 1.782410-4 8.963096+2 1.786311-4 8.562540+2 1.790391-4 8.097798+2 1.802894-4 6.738648+2 1.805420-4 6.515717+2 1.808118-4 6.303216+2 1.812957-4 5.988368+2 1.818957-4 5.706879+2 1.824786-4 5.528197+2 1.830966-4 5.413601+2 1.837267-4 5.349844+2 1.846810-4 5.310838+2 1.872210-4 5.317125+2 1.894681-4 5.368040+2 1.917140-4 5.454629+2 1.979500-4 5.767086+2 2.018214-4 5.946161+2 2.069236-4 6.131232+2 2.125814-4 6.273039+2 2.193522-4 6.384047+2 2.280000-4 6.479038+2 2.498921-4 6.643019+2 2.891214-4 6.954616+2 3.056219-4 7.042145+2 3.111907-4 7.006306+2 3.137336-4 6.977523+2 3.155828-4 6.981633+2 3.168390-4 7.013296+2 3.180440-4 7.072792+2 3.194077-4 7.173596+2 3.229985-4 7.502078+2 3.246460-4 7.616245+2 3.262813-4 7.689152+2 3.289556-4 7.751602+2 3.408703-4 7.970195+2 3.624442-4 8.305308+2 3.757177-4 8.576560+2 3.850000-4 8.775013+2 4.090135-4 9.173447+2 4.338718-4 9.479662+2 4.474785-4 9.610886+2 4.532284-4 9.697717+2 4.668778-4 9.980358+2 4.926064-4 1.035920+3 5.339493-4 1.080326+3 5.778069-4 1.115957+3 6.271405-4 1.145392+3 6.814516-4 1.166866+3 7.407770-4 1.179206+3 8.042824-4 1.178047+3 8.717804-4 1.166581+3 9.370775-4 1.146973+3 1.004717-3 1.116965+3 1.065561-3 1.080787+3 1.122018-3 1.035506+3 1.172934-3 9.864304+2 1.220182-3 9.321983+2 1.257969-3 8.808207+2 1.289881-3 8.303045+2 1.318270-3 7.779996+2 1.345086-3 7.202550+2 1.363442-3 6.743575+2 1.382124-3 6.200916+2 1.395903-3 5.735501+2 1.405440-3 5.370963+2 1.415163-3 4.965837+2 1.424878-3 4.559304+2 1.431895-3 4.309829+2 1.435400-3 4.215140+2 1.438907-3 4.148131+2 1.442942-3 4.111521+2 1.445814-3 4.114364+2 1.448221-3 4.135916+2 1.450546-3 4.173361+2 1.452768-3 4.224148+2 1.454546-3 4.275139+2 1.456475-3 4.340679+2 1.460030-3 4.488684+2 1.463562-3 4.670797+2 1.466997-3 4.882493+2 1.471734-3 5.234282+2 1.476550-3 5.667497+2 1.483632-3 6.435924+2 1.490612-3 7.292571+2 1.493120-3 7.604428+2 1.495458-3 7.889192+2 1.497851-3 8.170036+2 1.499602-3 8.366272+2 1.502142-3 8.634348+2 1.505050-3 8.914038+2 1.509572-3 9.289063+2 1.513000-3 9.528546+2 1.517082-3 9.774544+2 1.526885-3 1.028438+3 1.549714-3 1.156766+3 1.557560-3 1.200645+3 1.568975-3 1.257481+3 1.580574-3 1.306615+3 1.595625-3 1.360536+3 1.612791-3 1.413105+3 1.636903-3 1.477032+3 1.658918-3 1.527263+3 1.692734-3 1.593660+3 1.728576-3 1.652328+3 1.757824-3 1.686567+3 1.782398-3 1.703304+3 1.803442-3 1.706533+3 1.829377-3 1.704368+3 1.841345-3 1.713483+3 1.849084-3 1.726751+3 1.857191-3 1.747183+3 1.895491-3 1.878291+3 1.905454-3 1.906649+3 1.917015-3 1.933606+3 1.932948-3 1.961710+3 1.950178-3 1.983579+3 1.972352-3 2.003433+3 1.998359-3 2.018334+3 2.047735-3 2.034394+3 2.059505-3 2.043325+3 2.079974-3 2.068563+3 2.112776-3 2.116263+3 2.128940-3 2.135114+3 2.150100-3 2.153450+3 2.172940-3 2.166781+3 2.202990-3 2.176921+3 2.258582-3 2.182977+3 2.282059-3 2.199117+3 2.332524-3 2.253809+3 2.355800-3 2.270413+3 2.423324-3 2.298577+3 2.480324-3 2.311875+3 2.599314-3 2.323566+3 2.733859-3 2.324087+3 2.870130-3 2.310998+3 3.109431-3 2.272548+3 3.320620-3 2.227632+3 3.499950-3 2.182491+3 3.924190-3 2.069828+3 4.140007-3 2.009486+3 4.457204-3 1.921432+3 4.870551-3 1.806297+3 5.117746-3 1.739580+3 5.545060-3 1.627562+3 5.785119-3 1.567540+3 6.042964-3 1.503982+3 6.310039-3 1.439885+3 6.570488-3 1.378977+3 6.821032-3 1.321047+3 7.081704-3 1.261538+3 7.299154-3 1.210736+3 7.486636-3 1.166699+3 7.647079-3 1.128068+3 7.796955-3 1.090106+3 7.924733-3 1.056204+3 8.026519-3 1.027607+3 8.120425-3 9.992713+2 8.199907-3 9.730676+2 8.264157-3 9.495483+2 8.323210-3 9.250501+2 8.372462-3 9.014447+2 8.430486-3 8.686246+2 8.545132-3 7.963492+2 8.578706-3 7.813509+2 8.607055-3 7.741953+2 8.627370-3 7.727058+2 8.650439-3 7.747785+2 8.682995-3 7.838709+2 8.716237-3 7.987529+2 8.801080-3 8.443501+2 8.850666-3 8.662718+2 8.889284-3 8.790429+2 8.916929-3 8.860413+2 8.965074-3 8.947477+2 9.016351-3 9.003317+2 9.075856-3 9.033901+2 9.143105-3 9.034819+2 9.202509-3 9.010304+2 9.271443-3 8.952800+2 9.331536-3 8.874037+2 9.383003-3 8.782150+2 9.541292-3 8.436630+2 9.589368-3 8.387131+2 9.635917-3 8.397179+2 9.681681-3 8.459476+2 9.797098-3 8.703264+2 9.862149-3 8.797830+2 9.935410-3 8.844426+2 1.004824-2 8.899687+2 1.010782-2 8.973339+2 1.029563-2 9.313549+2 1.039621-2 9.431483+2 1.053521-2 9.513232+2 1.071519-2 9.549148+2 1.096478-2 9.535471+2 1.134627-2 9.433333+2 1.164745-2 9.310125+2 1.216186-2 9.055044+2 1.276645-2 8.718946+2 1.343063-2 8.333234+2 1.447312-2 7.732979+2 1.559931-2 7.128073+2 1.730942-2 6.317400+2 1.963793-2 5.409024+2 2.172101-2 4.751638+2 2.384460-2 4.194087+2 2.571314-2 3.774259+2 2.853410-2 3.239539+2 3.235936-2 2.670432+2 3.645411-2 2.211133+2 3.937625-2 1.946286+2 4.257234-2 1.700219+2 4.746185-2 1.398048+2 5.011872-2 1.262263+2 5.241168-2 1.155108+2 5.418811-2 1.075217+2 5.544759-2 1.018015+2 5.639622-2 9.727074+1 5.679110-2 9.525424+1 5.717947-2 9.313248+1 5.749819-2 9.122832+1 5.776284-2 8.948351+1 5.812382-2 8.680268+1 5.889910-2 8.060093+1 5.916116-2 7.910784+1 5.938434-2 7.840912+1 5.962467-2 7.832549+1 5.982714-2 7.875009+1 6.011864-2 7.992414+1 6.076830-2 8.304864+1 6.105000-2 8.405561+1 6.147027-2 8.502714+1 6.195742-2 8.556693+1 6.267559-2 8.571392+1 6.365932-2 8.527561+1 6.515456-2 8.395547+1 6.702824-2 8.176382+1 6.924945-2 7.880864+1 7.278255-2 7.389775+1 7.750054-2 6.758283+1 8.354474-2 6.025019+1 9.209476-2 5.146338+1 1.024399-1 4.303495+1 1.159696-1 3.465392+1 1.397757-1 2.473539+1 1.949845-1 1.344623+1 2.344229-1 9.536147+0 2.932480-1 6.228814+0 4.007297-1 3.408341+0 5.881026-1 1.612026+0 9.360412-1 6.456014-1 1.619761+0 2.175734-1 4.068655+0 3.464053-2 1.228714+1 3.800910-3 3.710658+1 4.167940-4 1.120601+2 4.570094-5 3.384160+2 5.011013-6 1.258925+3 3.620990-7 3.981072+3 3.620990-8 1.258925+4 3.620990-9 3.981072+4 3.62099-10 1.000000+5 5.73888-11 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.113400-6 1.258900-6 3.349500-6 1.584900-6 5.308700-6 1.995300-6 8.413600-6 2.511900-6 1.333500-5 3.162300-6 2.113400-5 3.981100-6 3.349500-5 5.011900-6 5.308600-5 6.309600-6 8.413400-5 7.943300-6 1.333400-4 1.000000-5 2.113300-4 1.258900-5 3.349300-4 1.584900-5 5.305700-4 1.995300-5 8.403700-4 2.511900-5 1.331200-3 3.162300-5 2.109000-3 3.981100-5 3.341500-3 5.011900-5 5.294800-3 6.309600-5 8.390000-3 7.943300-5 1.327300-2 1.000000-4 2.099000-2 1.258900-4 3.319100-2 1.584900-4 5.234600-2 1.995300-4 8.240100-2 2.511900-4 1.291400-1 3.162300-4 2.011200-1 3.981100-4 3.099300-1 5.011900-4 4.691500-1 6.309600-4 6.936300-1 7.943300-4 9.951700-1 1.000000-3 1.380900+0 1.258900-3 1.855900+0 1.584900-3 2.441000+0 1.995300-3 3.178700+0 2.511900-3 4.111100+0 3.162300-3 5.258900+0 3.981100-3 6.634100+0 5.011900-3 8.244300+0 6.309600-3 1.006300+1 7.943300-3 1.205900+1 1.000000-2 1.422000+1 1.258900-2 1.654700+1 1.584900-2 1.898500+1 1.995300-2 2.152500+1 2.511900-2 2.391200+1 3.162300-2 2.598700+1 3.981100-2 2.764800+1 5.011900-2 2.885300+1 6.309600-2 2.958300+1 7.943300-2 2.982800+1 1.000000-1 2.956200+1 1.258900-1 2.885300+1 1.584900-1 2.776300+1 1.995300-1 2.638900+1 2.511900-1 2.481200+1 3.162300-1 2.311100+1 3.981100-1 2.134300+1 5.011900-1 1.956200+1 6.309600-1 1.780700+1 7.943300-1 1.610200+1 1.000000+0 1.446800+1 1.258900+0 1.291300+1 1.584900+0 1.144900+1 1.995300+0 1.008400+1 2.511900+0 8.825600+0 3.162300+0 7.675500+0 3.981100+0 6.635700+0 5.011900+0 5.704500+0 6.309600+0 4.878000+0 7.943300+0 4.151400+0 1.000000+1 3.517400+0 1.258900+1 2.968100+0 1.584900+1 2.495400+0 1.995300+1 2.091000+0 2.511900+1 1.746900+0 3.162300+1 1.455500+0 3.981100+1 1.209700+0 5.011900+1 1.003200+0 6.309600+1 8.303200-1 7.943300+1 6.859600-1 1.000000+2 5.657600-1 1.258900+2 4.659100-1 1.584900+2 3.831600-1 1.995300+2 3.147000-1 2.511900+2 2.581700-1 3.162300+2 2.115700-1 3.981100+2 1.732000-1 5.011900+2 1.416600-1 6.309600+2 1.157600-1 7.943300+2 9.451900-2 1.000000+3 7.711600-2 1.258900+3 6.287200-2 1.584900+3 5.122400-2 1.995300+3 4.170700-2 2.511900+3 3.393800-2 3.162300+3 2.760000-2 3.981100+3 2.243300-2 5.011900+3 1.822400-2 6.309600+3 1.479700-2 7.943300+3 1.200900-2 1.000000+4 9.741800-3 1.258900+4 7.899100-3 1.584900+4 6.402400-3 1.995300+4 5.187100-3 2.511900+4 4.200900-3 3.162300+4 3.400900-3 3.981100+4 2.752300-3 5.011900+4 2.226600-3 6.309600+4 1.800700-3 7.943300+4 1.455900-3 1.000000+5 1.176700-3 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510165-4 3.162278-4 3.159556-4 3.981072-4 3.976776-4 5.011872-4 5.005108-4 6.309573-4 6.298951-4 7.943282-4 7.926658-4 1.000000-3 9.974026-4 1.258925-3 1.254883-3 1.584893-3 1.578582-3 1.995262-3 1.985362-3 2.511886-3 2.496316-3 3.162278-3 3.137809-3 3.981072-3 3.942698-3 5.011872-3 4.951818-3 6.309573-3 6.215864-3 7.943282-3 7.797422-3 1.000000-2 9.773250-3 1.258925-2 1.223699-2 1.584893-2 1.530170-2 1.995262-2 1.910778-2 2.511886-2 2.382083-2 3.162278-2 2.964306-2 3.981072-2 3.681221-2 5.011872-2 4.560195-2 6.309573-2 5.633937-2 7.943282-2 6.938488-2 1.000000-1 8.521816-2 1.258925-1 1.042856-1 1.584893-1 1.272363-1 1.995262-1 1.546979-1 2.511886-1 1.874847-1 3.162278-1 2.264806-1 3.981072-1 2.727000-1 5.011872-1 3.273526-1 6.309573-1 3.918310-1 7.943282-1 4.678423-1 1.000000+0 5.571576-1 1.258925+0 6.624670-1 1.584893+0 7.868265-1 1.995262+0 9.339104-1 2.511886+0 1.108484+0 3.162278+0 1.316171+0 3.981072+0 1.564152+0 5.011872+0 1.861012+0 6.309573+0 2.217313+0 7.943282+0 2.645729+0 1.000000+1 3.162335+0 1.258925+1 3.786376+0 1.584893+1 4.541538+0 1.995262+1 5.456792+0 2.511886+1 6.567469+0 3.162278+1 7.917471+0 3.981072+1 9.560109+0 5.011872+1 1.156092+1 6.309573+1 1.400049+1 7.943282+1 1.697815+1 1.000000+2 2.061549+1 1.258925+2 2.506269+1 1.584893+2 3.050434+1 1.995262+2 3.716794+1 2.511886+2 4.533294+1 3.162278+2 5.534551+1 3.981072+2 6.762999+1 5.011872+2 8.271319+1 6.309573+2 1.012429+2 7.943282+2 1.240183+2 1.000000+3 1.520273+2 1.258925+3 1.864907+2 1.584893+3 2.289195+2 1.995262+3 2.811747+2 2.511886+3 3.455538+2 3.162278+3 4.249372+2 3.981072+3 5.228210+2 5.011872+3 6.435819+2 6.309573+3 7.926433+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88198-10 1.995262-5 1.090631-9 2.511886-5 1.728506-9 3.162278-5 2.739526-9 3.981072-5 4.341900-9 5.011872-5 6.881421-9 6.309573-5 1.090600-8 7.943282-5 1.727670-8 1.000000-4 2.737374-8 1.258925-4 4.337524-8 1.584893-4 6.868864-8 1.995262-4 1.087630-7 2.511886-4 1.721168-7 3.162278-4 2.721285-7 3.981072-4 4.295732-7 5.011872-4 6.764709-7 6.309573-4 1.062199-6 7.943282-4 1.662482-6 1.000000-3 2.597376-6 1.258925-3 4.042007-6 1.584893-3 6.311690-6 1.995262-3 9.900172-6 2.511886-3 1.557014-5 3.162278-3 2.446911-5 3.981072-3 3.837397-5 5.011872-3 6.005473-5 6.309573-3 9.370950-5 7.943282-3 1.458604-4 1.000000-2 2.267498-4 1.258925-2 3.522598-4 1.584893-2 5.472298-4 1.995262-2 8.448446-4 2.511886-2 1.298035-3 3.162278-2 1.979712-3 3.981072-2 2.998504-3 5.011872-2 4.516774-3 6.309573-2 6.756369-3 7.943282-2 1.004795-2 1.000000-1 1.478184-2 1.258925-1 2.160695-2 1.584893-1 3.125304-2 1.995262-1 4.482836-2 2.511886-1 6.370398-2 3.162278-1 8.974720-2 3.981072-1 1.254072-1 5.011872-1 1.738347-1 6.309573-1 2.391263-1 7.943282-1 3.264859-1 1.000000+0 4.428424-1 1.258925+0 5.964584-1 1.584893+0 7.980666-1 1.995262+0 1.061352+0 2.511886+0 1.403403+0 3.162278+0 1.846107+0 3.981072+0 2.416919+0 5.011872+0 3.150860+0 6.309573+0 4.092261+0 7.943282+0 5.297553+0 1.000000+1 6.837665+0 1.258925+1 8.802878+0 1.584893+1 1.130739+1 1.995262+1 1.449583+1 2.511886+1 1.855140+1 3.162278+1 2.370531+1 3.981072+1 3.025061+1 5.011872+1 3.855780+1 6.309573+1 4.909524+1 7.943282+1 6.245467+1 1.000000+2 7.938451+1 1.258925+2 1.008299+2 1.584893+2 1.279850+2 1.995262+2 1.623583+2 2.511886+2 2.058557+2 3.162278+2 2.608823+2 3.981072+2 3.304772+2 5.011872+2 4.184740+2 6.309573+2 5.297145+2 7.943282+2 6.703099+2 1.000000+3 8.479727+2 1.258925+3 1.072435+3 1.584893+3 1.355974+3 1.995262+3 1.714088+3 2.511886+3 2.166333+3 3.162278+3 2.737340+3 3.981072+3 3.458251+3 5.011872+3 4.368290+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.550000-6 4.669757+6 6.309573-6 2.728356+6 7.000000-6 1.752446+6 7.762471-6 1.118744+6 8.511380-6 7.450219+5 9.440609-6 4.678240+5 9.740000-6 4.056816+5 9.740000-6 1.555884+6 9.940000-6 1.465462+6 1.023293-5 1.353789+6 1.047129-5 1.275916+6 1.060000-5 1.236634+6 1.100000-5 1.132532+6 1.103000-5 1.125777+6 1.103000-5 1.907209+6 1.135011-5 1.792506+6 1.140000-5 1.776305+6 1.180000-5 1.659455+6 1.216186-5 1.572585+6 1.220000-5 1.564342+6 1.258925-5 1.488641+6 1.270000-5 1.469702+6 1.273503-5 1.463848+6 1.310000-5 1.408902+6 1.320000-5 1.395628+6 1.350000-5 1.360034+6 1.370000-5 1.339501+6 1.400000-5 1.312375+6 1.420000-5 1.296911+6 1.445440-5 1.279990+6 1.470000-5 1.266421+6 1.480000-5 1.261688+6 1.500000-5 1.252624+6 1.515000-5 1.247265+6 1.531087-5 1.242628+6 1.554900-5 1.236193+6 1.570000-5 1.233377+6 1.584893-5 1.231601+6 1.610000-5 1.228938+6 1.630000-5 1.228435+6 1.678804-5 1.230614+6 1.690000-5 1.232058+6 1.730000-5 1.239489+6 1.750000-5 1.243354+6 1.757924-5 1.245441+6 1.778279-5 1.251922+6 1.830000-5 1.268683+6 1.870000-5 1.286545+6 1.905461-5 1.302514+6 1.920000-5 1.309736+6 1.920700-5 1.310128+6 1.972423-5 1.339310+6 1.980000-5 1.343612+6 2.018366-5 1.367160+6 2.020000-5 1.368253+6 2.070000-5 1.401896+6 2.113489-5 1.433266+6 2.130000-5 1.446035+6 2.162719-5 1.471489+6 2.190400-5 1.494219+6 2.238721-5 1.534182+6 2.250000-5 1.544072+6 2.270000-5 1.561691+6 2.330000-5 1.617024+6 2.371374-5 1.655568+6 2.420000-5 1.705001+6 2.511886-5 1.799843+6 2.570396-5 1.863190+6 2.630268-5 1.930935+6 2.691535-5 2.001232+6 2.818383-5 2.153237+6 2.917427-5 2.274894+6 2.954000-5 2.320939+6 2.954000-5 2.565694+7 2.967000-5 2.491383+7 3.000000-5 2.330072+7 3.040000-5 2.163457+7 3.090295-5 1.988215+7 3.150000-5 1.817740+7 3.210000-5 1.676650+7 3.273407-5 1.552667+7 3.311311-5 1.488994+7 3.350000-5 1.428440+7 3.427678-5 1.324889+7 3.450000-5 1.297745+7 3.467369-5 1.278385+7 3.558000-5 1.186173+7 3.558000-5 2.185557+7 3.570000-5 2.151709+7 3.589219-5 2.099973+7 3.590000-5 2.097909+7 3.635000-5 1.989991+7 3.680000-5 1.894699+7 3.715352-5 1.827888+7 3.730000-5 1.801383+7 3.740000-5 1.783921+7 3.758374-5 1.753868+7 3.801894-5 1.686075+7 3.890451-5 1.566586+7 3.935501-5 1.513633+7 3.981072-5 1.464230+7 4.000000-5 1.445363+7 4.027170-5 1.419176+7 4.110000-5 1.345142+7 4.168694-5 1.299127+7 4.265795-5 1.230362+7 4.315191-5 1.199546+7 4.365158-5 1.170246+7 4.466836-5 1.116930+7 4.500000-5 1.100910+7 4.623810-5 1.047904+7 4.841724-5 9.730781+6 4.954502-5 9.417081+6 5.011872-5 9.273242+6 5.248075-5 8.794638+6 5.308844-5 8.692638+6 5.500000-5 8.418723+6 5.688529-5 8.220975+6 5.754399-5 8.165209+6 5.830000-5 8.102463+6 5.830000-5 8.157516+6 5.900000-5 8.104903+6 5.920000-5 8.091433+6 6.030000-5 8.025823+6 6.095369-5 7.993197+6 6.150000-5 7.969165+6 6.237348-5 7.936778+6 6.260000-5 7.927496+6 6.300000-5 7.912273+6 6.400000-5 7.881474+6 6.531306-5 7.852115+6 6.606934-5 7.840408+6 6.683439-5 7.832486+6 6.760830-5 7.828921+6 6.850000-5 7.820155+6 7.000000-5 7.813663+6 7.070000-5 7.814521+6 7.079458-5 7.814790+6 7.244360-5 7.824411+6 7.328245-5 7.824219+6 7.673615-5 7.848530+6 7.800000-5 7.860042+6 8.000000-5 7.872142+6 8.035261-5 7.875090+6 8.222426-5 7.895131+6 8.317638-5 7.902958+6 8.413951-5 7.906309+6 8.609938-5 7.917503+6 8.650000-5 7.920225+6 8.709636-5 7.924463+6 8.800000-5 7.928208+6 8.912509-5 7.934401+6 9.015711-5 7.936134+6 9.150000-5 7.939258+6 9.332543-5 7.946112+6 9.400000-5 7.947015+6 9.500000-5 7.948620+6 9.549926-5 7.947264+6 9.800000-5 7.943249+6 9.900000-5 7.942194+6 9.950000-5 7.941906+6 1.000000-4 7.941902+6 1.023293-4 7.935445+6 1.040000-4 7.931581+6 1.047129-4 7.927700+6 1.071519-4 7.915854+6 1.083927-4 7.910228+6 1.096478-4 7.905217+6 1.106700-4 7.898712+6 1.122018-4 7.889597+6 1.135011-4 7.878269+6 1.161449-4 7.856849+6 1.174898-4 7.846609+6 1.190000-4 7.832051+6 1.220000-4 7.804860+6 1.244515-4 7.774606+6 1.260000-4 7.755923+6 1.273503-4 7.740173+6 1.280000-4 7.730962+6 1.318257-4 7.678548+6 1.330000-4 7.662866+6 1.333521-4 7.657075+6 1.364583-4 7.607610+6 1.400000-4 7.545731+6 1.412538-4 7.524470+6 1.428894-4 7.492303+6 1.462177-4 7.428851+6 1.513561-4 7.322999+6 1.531087-4 7.288021+6 1.548817-4 7.247949+6 1.584893-4 7.168799+6 1.603245-4 7.126037+6 1.621810-4 7.083632+6 1.659587-4 6.999451+6 1.678804-4 6.954036+6 1.698244-4 6.909003+6 1.737801-4 6.814558+6 1.760000-4 6.762975+6 1.783300-4 6.705663+6 1.783300-4 7.101128+6 1.793000-4 7.101728+6 1.819701-4 7.116169+6 1.825000-4 7.119885+6 1.840000-4 7.130025+6 1.850000-4 7.136021+6 1.851000-4 7.136716+6 1.862087-4 7.141442+6 1.863000-4 7.141905+6 1.869500-4 7.142888+6 1.869500-4 7.420238+6 1.873000-4 7.424420+6 1.877000-4 7.427717+6 1.883649-4 7.435026+6 1.885000-4 7.435973+6 1.894000-4 7.444318+6 1.897000-4 7.445887+6 1.905461-4 7.451974+6 1.916000-4 7.453442+6 1.927525-4 7.451272+6 1.930000-4 7.449932+6 1.939000-4 7.444318+6 1.945000-4 7.438508+6 1.950000-4 7.432971+6 1.953000-4 7.429389+6 1.955000-4 7.426318+6 1.965000-4 7.409452+6 1.974000-4 7.390082+6 1.981300-4 7.372968+6 1.985000-4 7.363271+6 1.996000-4 7.331862+6 2.000000-4 7.319598+6 2.005000-4 7.303130+6 2.015000-4 7.268341+6 2.018366-4 7.255992+6 2.020000-4 7.250018+6 2.025000-4 7.230878+6 2.037800-4 7.179619+6 2.041738-4 7.163172+6 2.050000-4 7.126419+6 2.065380-4 7.056208+6 2.070000-4 7.034006+6 2.080000-4 6.985397+6 2.100000-4 6.887691+6 2.120000-4 6.789203+6 2.141200-4 6.686847+6 2.142000-4 6.683016+6 2.162719-4 6.584171+6 2.170000-4 6.549309+6 2.205000-4 6.386226+6 2.220000-4 6.318998+6 2.238721-4 6.235671+6 2.240000-4 6.230090+6 2.280000-4 6.060699+6 2.317395-4 5.915161+6 2.350000-4 5.792527+6 2.371374-4 5.716684+6 2.380000-4 5.686288+6 2.404400-4 5.603513+6 2.415000-4 5.568916+6 2.426610-4 5.531982+6 2.430000-4 5.521305+6 2.454709-4 5.446069+6 2.458000-4 5.436339+6 2.483133-4 5.364440+6 2.491600-4 5.341076+6 2.500000-4 5.318393+6 2.511886-4 5.285290+6 2.520000-4 5.262633+6 2.540973-4 5.205594+6 2.550800-4 5.179722+6 2.570396-4 5.129475+6 2.580000-4 5.105575+6 2.600160-4 5.056693+6 2.610000-4 5.033541+6 2.630268-4 4.987054+6 2.635000-4 4.976487+6 2.660725-4 4.920401+6 2.691535-4 4.853995+6 2.710800-4 4.813036+6 2.722701-4 4.788068+6 2.730000-4 4.773069+6 2.758100-4 4.717018+6 2.770000-4 4.693963+6 2.786121-4 4.663512+6 2.818383-4 4.604599+6 2.830000-4 4.582933+6 2.851018-4 4.544769+6 2.865000-4 4.518952+6 2.884032-4 4.484711+6 2.917427-4 4.426690+6 2.980000-4 4.324226+6 3.000000-4 4.293108+6 3.019952-4 4.262684+6 3.040000-4 4.231190+6 3.054921-4 4.207188+6 3.150000-4 4.063731+6 3.232200-4 3.949774+6 3.238700-4 3.940770+6 3.238700-4 4.216269+6 3.273407-4 4.167774+6 3.320000-4 4.102143+6 3.390000-4 4.008867+6 3.427678-4 3.960524+6 3.430000-4 3.957479+6 3.500000-4 3.868237+6 3.507519-4 3.859014+6 3.550000-4 3.805421+6 3.630781-4 3.708422+6 3.672823-4 3.659880+6 3.713700-4 3.612069+6 3.713700-4 3.678332+6 3.740000-4 3.648405+6 3.758374-4 3.627563+6 3.787900-4 3.593791+6 3.850000-4 3.524887+6 3.890451-4 3.481209+6 3.935501-4 3.433779+6 3.981072-4 3.385910+6 4.000000-4 3.366198+6 4.027170-4 3.338463+6 4.120975-4 3.243652+6 4.168694-4 3.197229+6 4.216965-4 3.151462+6 4.280000-4 3.092377+6 4.315191-4 3.060016+6 4.415704-4 2.969029+6 4.430000-4 2.956558+6 4.466836-4 2.924431+6 4.518559-4 2.880163+6 4.537300-4 2.864084+6 4.537300-4 2.945717+6 4.600000-4 2.893064+6 4.628000-4 2.869848+6 4.650000-4 2.851542+6 4.700000-4 2.810404+6 4.731513-4 2.785172+6 4.786301-4 2.742422+6 4.841724-4 2.699726+6 4.850000-4 2.693329+6 4.897788-4 2.656590+6 4.900000-4 2.654916+6 4.954502-4 2.614251+6 5.011872-4 2.572201+6 5.069907-4 2.530423+6 5.188000-4 2.448664+6 5.248075-4 2.408169+6 5.308844-4 2.367952+6 5.432503-4 2.288287+6 5.500000-4 2.247118+6 5.559043-4 2.211756+6 5.580000-4 2.199253+6 5.623413-4 2.173514+6 5.688529-4 2.135855+6 5.754399-4 2.098538+6 5.821032-4 2.061547+6 6.025596-4 1.954659+6 6.095369-4 1.919570+6 6.100000-4 1.917267+6 6.165950-4 1.884606+6 6.237348-4 1.850028+6 6.382635-4 1.783331+6 6.456542-4 1.750619+6 6.500000-4 1.731704+6 6.531306-4 1.718313+6 6.606934-4 1.686155+6 6.683439-4 1.654599+6 6.760830-4 1.623473+6 6.839116-4 1.592595+6 6.850000-4 1.588387+6 7.000000-4 1.531834+6 7.079458-4 1.503254+6 7.161434-4 1.474453+6 7.244360-4 1.445923+6 7.300000-4 1.426976+6 7.500000-4 1.362139+6 7.585776-4 1.335893+6 7.673615-4 1.309599+6 7.852356-4 1.257874+6 7.943282-4 1.232738+6 8.000000-4 1.217507+6 8.035261-4 1.208155+6 8.128305-4 1.183752+6 8.200000-4 1.165459+6 8.317638-4 1.136222+6 8.511380-4 1.090398+6 8.709636-4 1.045872+6 8.810489-4 1.024103+6 8.912509-4 1.002766+6 9.000000-4 9.850592+5 9.015711-4 9.819357+5 9.120108-4 9.614528+5 9.332543-4 9.214494+5 9.500000-4 8.914119+5 9.660509-4 8.640886+5 9.700000-4 8.575836+5 9.772372-4 8.458173+5 1.000000-3 8.097825+5 1.023293-3 7.751588+5 1.035142-3 7.583879+5 1.047129-3 7.419979+5 1.059254-3 7.258005+5 1.071519-3 7.098291+5 1.109175-3 6.638628+5 1.110000-3 6.629110+5 1.122018-3 6.492699+5 1.135011-3 6.349416+5 1.150000-3 6.188479+5 1.161449-3 6.068951+5 1.174898-3 5.933177+5 1.190000-3 5.785908+5 1.216186-3 5.543032+5 1.230269-3 5.417326+5 1.244515-3 5.294182+5 1.318257-3 4.718542+5 1.333521-3 4.610050+5 1.348963-3 4.504266+5 1.350000-3 4.497279+5 1.396368-3 4.198465+5 1.412538-3 4.101304+5 1.428894-3 4.006434+5 1.462177-3 3.821447+5 1.469800-3 3.780658+5 1.469800-3 1.260204+6 1.479108-3 1.241331+6 1.496236-3 1.207583+6 1.500000-3 1.200340+6 1.514000-3 1.173937+6 1.516000-3 1.171022+6 1.516000-3 1.511819+6 1.547300-3 1.485076+6 1.548000-3 1.483236+6 1.548817-3 1.482544+6 1.551800-3 1.480030+6 1.570000-3 1.462668+6 1.572000-3 1.460329+6 1.584893-3 1.441716+6 1.603245-3 1.416200+6 1.640590-3 1.367799+6 1.650000-3 1.355162+6 1.659587-3 1.342534+6 1.664800-3 1.335777+6 1.678804-3 1.318482+6 1.690000-3 1.305033+6 1.698244-3 1.294961+6 1.712300-3 1.278145+6 1.717908-3 1.270315+6 1.730000-3 1.253720+6 1.737801-3 1.243198+6 1.757924-3 1.215253+6 1.761500-3 1.210422+6 1.800000-3 1.156017+6 1.819701-3 1.125391+6 1.840772-3 1.093870+6 1.862087-3 1.063222+6 1.865100-3 1.058984+6 1.865100-3 1.225774+6 1.883649-3 1.196756+6 1.905461-3 1.163764+6 1.927525-3 1.131696+6 1.945000-3 1.107184+6 2.000000-3 1.037671+6 2.018366-3 1.015621+6 2.041738-3 9.885351+5 2.074000-3 9.525443+5 2.075200-3 9.512392+5 2.075200-3 1.008129+6 2.090000-3 9.918703+5 2.113489-3 9.668432+5 2.137962-3 9.417571+5 2.145000-3 9.347237+5 2.162719-3 9.172192+5 2.187762-3 8.934149+5 2.220000-3 8.638216+5 2.238721-3 8.471113+5 2.264644-3 8.245403+5 2.277400-3 8.137417+5 2.277400-3 8.491064+5 2.294000-3 8.350813+5 2.317395-3 8.159005+5 2.371374-3 7.740676+5 2.385000-3 7.639712+5 2.400000-3 7.530420+5 2.426610-3 7.341383+5 2.454709-3 7.149362+5 2.483133-3 6.959282+5 2.500000-3 6.849903+5 2.511886-3 6.774009+5 2.540973-3 6.593456+5 2.570396-3 6.417934+5 2.630268-3 6.081581+5 2.660725-3 5.920326+5 2.691535-3 5.762862+5 2.722701-3 5.607393+5 2.754229-3 5.455599+5 2.800000-3 5.245600+5 2.818383-3 5.164492+5 2.851018-3 5.024940+5 2.884032-3 4.889319+5 2.917427-3 4.757568+5 2.951209-3 4.628813+5 3.000000-3 4.451286+5 3.070000-3 4.213431+5 3.090295-3 4.147917+5 3.126079-3 4.035268+5 3.162278-3 3.924420+5 3.198895-3 3.816803+5 3.235937-3 3.711584+5 3.311311-3 3.509587+5 3.320000-3 3.487204+5 3.388442-3 3.317760+5 3.400000-3 3.290318+5 3.427678-3 3.225472+5 3.467369-3 3.135314+5 3.507519-3 3.047711+5 3.548134-3 2.962436+5 3.589219-3 2.879671+5 3.630781-3 2.799305+5 3.758374-3 2.572129+5 3.801894-3 2.500505+5 3.845918-3 2.430848+5 3.900000-3 2.349095+5 3.935501-3 2.297144+5 4.000000-3 2.206245+5 4.027170-3 2.169521+5 4.120975-3 2.048470+5 4.168694-3 1.990594+5 4.265795-3 1.879866+5 4.300000-3 1.842956+5 4.315191-3 1.826824+5 4.365158-3 1.774918+5 4.400000-3 1.739772+5 4.415704-3 1.724209+5 4.518559-3 1.627103+5 4.570882-3 1.580667+5 4.677351-3 1.491854+5 4.731513-3 1.449417+5 4.786301-3 1.408090+5 4.897788-3 1.329112+5 4.954502-3 1.291342+5 5.011872-3 1.254294+5 5.069907-3 1.218345+5 5.128614-3 1.183144+5 5.188000-3 1.148992+5 5.308844-3 1.083764+5 5.559043-3 9.644224+4 5.623413-3 9.364508+4 5.688529-3 9.092260+4 5.821032-3 8.571771+4 5.888437-3 8.323206+4 6.025596-3 7.846557+4 6.237348-3 7.184578+4 6.300000-3 7.003224+4 6.309573-3 6.975965+4 6.382635-3 6.772698+4 6.456542-3 6.574373+4 6.531306-3 6.382146+4 6.606934-3 6.195307+4 6.683439-3 6.013592+4 6.760830-3 5.837374+4 6.839116-3 5.666569+4 7.000000-3 5.337359+4 7.079458-3 5.184752+4 7.161434-3 5.032062+4 7.244360-3 4.884069+4 7.328245-3 4.740638+4 7.500000-3 4.463267+4 7.585776-3 4.333313+4 7.762471-3 4.082174+4 7.852356-3 3.962362+4 7.943282-3 3.846174+4 8.000000-3 3.775929+4 8.035261-3 3.732986+4 8.128305-3 3.622160+4 8.222426-3 3.514450+4 8.317638-3 3.410085+4 8.413951-3 3.308737+4 8.609938-3 3.115258+4 8.638100-3 3.088792+4 8.638100-3 8.326130+4 8.709636-3 8.152775+4 8.740000-3 8.080729+4 8.810489-3 7.926326+4 8.850000-3 7.841611+4 8.912509-3 7.698070+4 9.015711-3 7.468954+4 9.120108-3 7.246423+4 9.332543-3 6.819547+4 9.400000-3 6.691243+4 9.500000-3 6.502328+4 9.629400-3 6.268614+4 9.629400-3 8.618331+4 9.697000-3 8.467780+4 9.750000-3 8.352333+4 9.772372-3 8.303363+4 9.885531-3 8.061768+4 1.000000-2 7.827316+4 1.008100-2 7.661200+4 1.008100-2 8.863913+4 1.015000-2 8.706534+4 1.022000-2 8.550601+4 1.023293-2 8.523389+4 1.035142-2 8.279441+4 1.047129-2 8.042485+4 1.050000-2 7.987135+4 1.060000-2 7.797344+4 1.071519-2 7.585356+4 1.109175-2 6.951043+4 1.110000-2 6.937838+4 1.122018-2 6.747622+4 1.135011-2 6.550154+4 1.150000-2 6.332360+4 1.161449-2 6.172710+4 1.174898-2 5.992015+4 1.202264-2 5.646537+4 1.216186-2 5.482015+4 1.230269-2 5.322406+4 1.244515-2 5.166453+4 1.258925-2 5.013652+4 1.273503-2 4.865475+4 1.288250-2 4.721814+4 1.318257-2 4.447488+4 1.333521-2 4.315239+4 1.348963-2 4.186234+4 1.350000-2 4.177766+4 1.364583-2 4.061139+4 1.380384-2 3.939880+4 1.396368-2 3.822318+4 1.428894-2 3.597855+4 1.445440-2 3.490735+4 1.450000-2 3.462004+4 1.462177-2 3.386871+4 1.479108-2 3.286170+4 1.500000-2 3.167542+4 1.513561-2 3.093668+4 1.531087-2 3.001632+4 1.566751-2 2.825350+4 1.584893-2 2.741207+4 1.603245-2 2.659627+4 1.640590-2 2.502677+4 1.659587-2 2.427007+4 1.678804-2 2.353669+4 1.698244-2 2.282586+4 1.717908-2 2.213573+4 1.737801-2 2.146678+4 1.757924-2 2.081859+4 1.800000-2 1.954820+4 1.819701-2 1.898873+4 1.840772-2 1.841456+4 1.862087-2 1.785821+4 1.905461-2 1.678894+4 1.927525-2 1.627923+4 1.949845-2 1.578485+4 1.950000-2 1.578149+4 1.972423-2 1.530541+4 2.018366-2 1.439058+4 2.089296-2 1.311391+4 2.113489-2 1.271420+4 2.137962-2 1.232690+4 2.162719-2 1.194875+4 2.187762-2 1.158252+4 2.230000-2 1.099883+4 2.238721-2 1.088309+4 2.264644-2 1.054867+4 2.290868-2 1.022465+4 2.344229-2 9.606898+3 2.398833-2 9.024313+3 2.426610-2 8.746690+3 2.454709-2 8.477782+3 2.483133-2 8.217123+3 2.511886-2 7.964693+3 2.540973-2 7.719933+3 2.600160-2 7.253348+3 2.650000-2 6.887439+3 2.660725-2 6.811607+3 2.754229-2 6.197034+3 2.786121-2 6.005063+3 2.818383-2 5.819099+3 2.851018-2 5.639009+3 2.884032-2 5.464457+3 2.917427-2 5.295275+3 2.951209-2 5.130771+3 3.000000-2 4.905484+3 3.019952-2 4.817297+3 3.054921-2 4.667873+3 3.090295-2 4.522477+3 3.162278-2 4.245441+3 3.198895-2 4.113489+3 3.235937-2 3.985120+3 3.311311-2 3.740569+3 3.349654-2 3.623984+3 3.400000-2 3.478258+3 3.467369-2 3.294692+3 3.507519-2 3.191606+3 3.630781-2 2.901532+3 3.672823-2 2.810660+3 3.715352-2 2.722701+3 3.758374-2 2.637555+3 3.801894-2 2.555121+3 3.845918-2 2.475255+3 3.935501-2 2.322499+3 3.981072-2 2.249676+3 4.000000-2 2.220151+3 4.027170-2 2.178695+3 4.120975-2 2.043489+3 4.168694-2 1.979096+3 4.415704-2 1.686914+3 4.466836-2 1.633935+3 4.500000-2 1.600797+3 4.518559-2 1.582611+3 4.623810-2 1.484693+3 4.677351-2 1.438023+3 4.731513-2 1.392376+3 4.841724-2 1.305456+3 4.954502-2 1.224025+3 5.011872-2 1.185274+3 5.188000-2 1.076368+3 5.248075-2 1.042355+3 5.308844-2 1.009438+3 5.495409-2 9.169145+2 5.500000-2 9.147880+2 5.559043-2 8.878084+2 5.623413-2 8.596178+2 5.754399-2 8.058326+2 5.888437-2 7.553455+2 5.948800-2 7.340146+2 5.948800-2 3.882126+3 6.050000-2 3.725313+3 6.100000-2 3.645999+3 6.165950-2 3.552286+3 6.180000-2 3.532763+3 6.237348-2 3.445026+3 6.309573-2 3.338726+3 6.310000-2 3.338111+3 6.531306-2 3.059496+3 6.606934-2 2.971604+3 6.760830-2 2.795007+3 7.079458-2 2.472789+3 7.161434-2 2.398239+3 7.413102-2 2.190937+3 7.498942-2 2.125879+3 7.585776-2 2.062762+3 7.762471-2 1.942110+3 7.852356-2 1.884378+3 8.000000-2 1.794592+3 8.035261-2 1.774028+3 8.222426-2 1.668061+3 8.413951-2 1.568447+3 8.609938-2 1.474800+3 8.709636-2 1.430103+3 8.810489-2 1.386765+3 8.959900-2 1.325822+3 9.225714-2 1.225107+3 9.332543-2 1.187541+3 9.549926-2 1.115822+3 9.772372-2 1.048443+3 9.885531-2 1.016300+3 1.000000-1 9.851442+2 1.011580-1 9.549451+2 1.035142-1 8.973059+2 1.096478-1 7.680077+2 1.109175-1 7.444812+2 1.122019-1 7.214113+2 1.148154-1 6.773554+2 1.174898-1 6.359876+2 1.188502-1 6.162642+2 1.216186-1 5.786340+2 1.230269-1 5.606914+2 1.244515-1 5.433066+2 1.288250-1 4.943276+2 1.318257-1 4.641646+2 1.333521-1 4.497826+2 1.396368-1 3.965406+2 1.412538-1 3.842470+2 1.428894-1 3.722868+2 1.462177-1 3.494792+2 1.479108-1 3.386059+2 1.496236-1 3.280710+2 1.500000-1 3.258161+2 1.513561-1 3.178652+2 1.531088-1 3.079757+2 1.548817-1 2.983945+2 1.584893-1 2.801197+2 1.603245-1 2.714072+2 1.640590-1 2.547876+2 1.650000-1 2.508201+2 1.659587-1 2.468655+2 1.698244-1 2.317557+2 1.717908-1 2.245521+2 1.737801-1 2.175724+2 1.819701-1 1.917662+2 1.840772-1 1.858087+2 1.862087-1 1.800365+2 1.905461-1 1.690257+2 1.927525-1 1.637760+2 1.972423-1 1.537619+2 1.995262-1 1.489873+2 2.018366-1 1.443627+2 2.041738-1 1.398817+2 2.065380-1 1.355414+2 2.113489-1 1.272612+2 2.137962-1 1.233131+2 2.238721-1 1.087095+2 2.264644-1 1.053715+2 2.317395-1 9.900005+1 2.344229-1 9.596053+1 2.371374-1 9.301542+1 2.398833-1 9.016183+1 2.426610-1 8.739586+1 2.454709-1 8.471553+1 2.483133-1 8.211974+1 2.540973-1 7.716451+1 2.570396-1 7.480031+1 2.600160-1 7.250879+1 2.630268-1 7.028775+1 2.691535-1 6.604782+1 2.722701-1 6.402561+1 2.754229-1 6.209275+1 2.786121-1 6.021838+1 2.818383-1 5.840060+1 2.851018-1 5.663778+1 2.884032-1 5.492816+1 2.917427-1 5.327026+1 3.000000-1 4.945621+1 3.000060-1 4.945358+1 3.019952-1 4.859160+1 3.054921-1 4.712795+1 3.090295-1 4.570897+1 3.126079-1 4.433274+1 3.162278-1 4.299843+1 3.198895-1 4.170438+1 3.235937-1 4.046901+1 3.273407-1 3.927029+1 3.388442-1 3.588339+1 3.427678-1 3.482069+1 3.467369-1 3.378985+1 3.507519-1 3.278966+1 3.548134-1 3.181909+1 3.589219-1 3.087962+1 3.630781-1 2.996792+1 3.672823-1 2.908317+1 3.715352-1 2.823976+1 3.758374-1 2.742081+1 3.801894-1 2.662563+1 3.845918-1 2.585381+1 3.890451-1 2.510440+1 3.935501-1 2.437671+1 4.000000-1 2.338511+1 4.027170-1 2.298418+1 4.073803-1 2.231830+1 4.120975-1 2.167310+1 4.168694-1 2.104692+1 4.216965-1 2.045092+1 4.265795-1 1.987203+1 4.365158-1 1.876299+1 4.415705-1 1.823191+1 4.518559-1 1.721456+1 4.570882-1 1.672762+1 4.623810-1 1.625448+1 4.677351-1 1.579473+1 4.731513-1 1.534910+1 4.786301-1 1.492514+1 4.841724-1 1.451290+1 4.954502-1 1.372228+1 5.011872-1 1.334332+1 5.069907-1 1.297486+1 5.128614-1 1.261673+1 5.188000-1 1.226864+1 5.248075-1 1.193016+1 5.308844-1 1.160103+1 5.370318-1 1.128888+1 5.432503-1 1.098533+1 5.495409-1 1.068995+1 5.559043-1 1.040254+1 5.623413-1 1.012289+1 5.688529-1 9.850967+0 5.754399-1 9.586356+0 5.821032-1 9.328867+0 5.888437-1 9.078295+0 5.956621-1 8.834460+0 6.000000-1 8.687704+0 6.025596-1 8.602978+0 6.095369-1 8.378110+0 6.165950-1 8.159166+0 6.237348-1 7.946025+0 6.309573-1 7.738545+0 6.382635-1 7.536487+0 6.456542-1 7.339710+0 6.531306-1 7.148074+0 6.683439-1 6.779692+0 6.760830-1 6.607036+0 6.839117-1 6.439424+0 6.918310-1 6.276067+0 6.998420-1 6.116903+0 7.079458-1 5.961777+0 7.161434-1 5.810587+0 7.328245-1 5.519624+0 7.413102-1 5.379667+0 7.498942-1 5.243312+0 7.585776-1 5.113694+0 7.673615-1 4.987722+0 7.762471-1 4.864855+0 7.852356-1 4.745077+0 7.943282-1 4.628248+0 8.128305-1 4.403156+0 8.317638-1 4.189099+0 8.413951-1 4.086017+0 8.511380-1 3.988271+0 8.609938-1 3.892863+0 8.709636-1 3.800135+0 9.015711-1 3.535006+0 9.120108-1 3.450818+0 9.225714-1 3.368688+0 9.332543-1 3.288569+0 9.440609-1 3.212687+0 9.549926-1 3.138557+0 9.660509-1 3.066471+0 9.772372-1 2.996053+0 9.885531-1 2.927344+0 1.000000+0 2.860225+0 1.011579+0 2.794651+0 1.023293+0 2.730575+0 1.035142+0 2.667972+0 1.047129+0 2.608169+0 1.059254+0 2.549738+0 1.071519+0 2.492647+0 1.083927+0 2.437022+0 1.096478+0 2.382641+0 1.122018+0 2.277495+0 1.135011+0 2.226673+0 1.148154+0 2.177013+0 1.161449+0 2.128462+0 1.174898+0 2.081018+0 1.188502+0 2.034642+0 1.202264+0 1.990408+0 1.216186+0 1.947136+0 1.230269+0 1.904807+0 1.244515+0 1.863562+0 1.250000+0 1.848053+0 1.273503+0 1.783782+0 1.288250+0 1.745201+0 1.318257+0 1.670539+0 1.333521+0 1.634417+0 1.348963+0 1.599997+0 1.364583+0 1.566304+0 1.380384+0 1.533322+0 1.412538+0 1.469695+0 1.428894+0 1.438893+0 1.479108+0 1.350315+0 1.500000+0 1.315920+0 1.513561+0 1.294935+0 1.531087+0 1.268578+0 1.548817+0 1.242757+0 1.678804+0 1.076811+0 1.698244+0 1.054998+0 1.717908+0 1.034258+0 1.737801+0 1.013924+0 1.757924+0 9.939911-1 1.778279+0 9.745364-1 1.798871+0 9.554613-1 1.819701+0 9.367600-1 1.840772+0 9.184249-1 1.883649+0 8.828242-1 1.905461+0 8.655444-1 1.927525+0 8.486131-1 1.949845+0 8.325005-1 1.972423+0 8.166947-1 2.000000+0 7.980322-1 2.018366+0 7.860315-1 2.044000+0 7.697590-1 2.089296+0 7.422944-1 2.162719+0 7.009908-1 2.187762+0 6.877477-1 2.213095+0 6.751368-1 2.238721+0 6.627578-1 2.264644+0 6.506060-1 2.290868+0 6.386873-1 2.317395+0 6.270272-1 2.371374+0 6.043417-1 2.454709+0 5.718431-1 2.511886+0 5.511656-1 2.540973+0 5.414071-1 2.570396+0 5.318220-1 2.600160+0 5.224067-1 2.630268+0 5.131669-1 2.660725+0 5.041207-1 2.722701+0 4.865040-1 2.818383+0 4.612263-1 2.884032+0 4.451175-1 2.917427+0 4.375058-1 2.951209+0 4.300245-1 3.000000+0 4.195897-1 3.019952+0 4.154474-1 3.054921+0 4.083738-1 3.126079+0 3.945856-1 3.235937+0 3.747712-1 3.273407+0 3.683907-1 3.311311+0 3.621218-1 3.349654+0 3.559626-1 3.388442+0 3.500833-1 3.427678+0 3.443014-1 3.467369+0 3.386150-1 3.507519+0 3.330275-1 3.548134+0 3.275506-1 3.630781+0 3.168654-1 3.758374+0 3.014878-1 3.801894+0 2.965300-1 3.845918+0 2.916560-1 3.890451+0 2.868647-1 3.935501+0 2.822876-1 4.000000+0 2.759489-1 4.027170+0 2.733515-1 4.073803+0 2.689940-1 4.120975+0 2.647201-1 4.216965+0 2.563748-1 4.365158+0 2.443475-1 4.466836+0 2.366451-1 4.518559+0 2.328872-1 4.570882+0 2.291907-1 4.623810+0 2.256535-1 4.677351+0 2.221708-1 4.731513+0 2.187419-1 4.786301+0 2.153688-1 4.841724+0 2.120580-1 5.000000+0 2.030751-1 5.188000+0 1.932354-1 5.308844+0 1.873406-1 5.370318+0 1.844622-1 5.432503+0 1.816294-1 5.495409+0 1.789140-1 5.559043+0 1.762393-1 5.623413+0 1.736047-1 5.688529+0 1.710116-1 5.754399+0 1.684650-1 5.956621+0 1.610506-1 6.165950+0 1.539626-1 6.309573+0 1.494118-1 6.382635+0 1.471881-1 6.456542+0 1.449985-1 6.531306+0 1.429001-1 6.606934+0 1.408322-1 6.683439+0 1.387942-1 6.760830+0 1.367874-1 6.839116+0 1.348159-1 7.079458+0 1.290701-1 7.413102+0 1.217882-1 7.585776+0 1.183030-1 7.673615+0 1.165990-1 7.762471+0 1.149201-1 7.852356+0 1.133099-1 7.943282+0 1.117223-1 8.035261+0 1.101569-1 8.128305+0 1.086147-1 8.222427+0 1.070988-1 8.511380+0 1.026769-1 9.015711+0 9.570908-2 9.332543+0 9.175773-2 9.440609+0 9.047784-2 9.549926+0 8.921624-2 9.660509+0 8.800263-2 9.772372+0 8.680554-2 9.885531+0 8.562476-2 1.000000+1 8.446021-2 1.011579+1 8.331227-2 1.023293+1 8.218310-2 1.059254+1 7.888669-2 1.109175+1 7.469628-2 1.161449+1 7.072873-2 1.174898+1 6.977069-2 1.188502+1 6.882600-2 1.202264+1 6.791692-2 1.216186+1 6.701981-2 1.230269+1 6.613459-2 1.244515+1 6.526119-2 1.258925+1 6.439990-2 1.273503+1 6.355218-2 1.318257+1 6.107542-2 1.400000+1 5.698954-2 1.479108+1 5.349615-2 1.500000+1 5.263997-2 1.513561+1 5.209782-2 1.531087+1 5.141265-2 1.548817+1 5.075240-2 1.566751+1 5.010068-2 1.584893+1 4.945733-2 1.600000+1 4.893348-2 1.603245+1 4.882239-2 1.621810+1 4.819745-2 1.678804+1 4.637025-2 1.798871+1 4.292104-2 1.949845+1 3.922010-2 1.995262+1 3.822299-2 2.000000+1 3.812173-2 2.041738+1 3.725146-2 2.065380+1 3.678543-2 2.089296+1 3.632523-2 2.113489+1 3.587080-2 2.137962+1 3.542347-2 2.213095+1 3.411466-2 2.344229+1 3.203989-2 2.600160+1 2.861831-2 2.691535+1 2.756139-2 2.786121+1 2.654374-2 2.818383+1 2.621875-2 2.851018+1 2.589775-2 2.884032+1 2.558067-2 2.917427+1 2.526749-2 2.951209+1 2.495896-2 3.054921+1 2.405580-2 3.273407+1 2.234633-2 3.589219+1 2.025462-2 3.630781+1 2.000738-2 3.715352+1 1.952196-2 3.758374+1 1.928373-2 3.845918+1 1.881597-2 3.890451+1 1.858998-2 3.981072+1 1.814611-2 4.027170+1 1.792817-2 4.073803+1 1.771285-2 4.120975+1 1.750011-2 4.168694+1 1.729041-2 4.216965+1 1.708321-2 4.415704+1 1.627898-2 4.841724+1 1.478231-2 5.432503+1 1.310354-2 5.559043+1 1.279146-2 5.688529+1 1.248683-2 5.754399+1 1.233728-2 5.888437+1 1.204352-2 6.000000+1 1.181234-2 6.165950+1 1.148418-2 6.237348+1 1.134846-2 6.309573+1 1.121434-2 6.382635+1 1.108180-2 6.456542+1 1.095083-2 6.531306+1 1.082166-2 6.606934+1 1.069401-2 6.998420+1 1.007798-2 7.852356+1 8.950336-3 8.912509+1 7.855145-3 9.120108+1 7.670962-3 9.332543+1 7.491105-3 9.440609+1 7.402778-3 9.549926+1 7.315492-3 9.772372+1 7.143998-3 1.000000+2 6.978414-3 1.023293+2 6.816669-3 1.035142+2 6.737208-3 1.059254+2 6.581052-3 1.071519+2 6.504342-3 1.083927+2 6.428520-3 1.096478+2 6.353697-3 1.109175+2 6.279745-3 1.122018+2 6.206659-3 1.202264+2 5.785647-3 1.412538+2 4.911014-3 1.678804+2 4.120107-3 1.717908+2 4.024773-3 1.778279+2 3.885895-3 1.819701+2 3.795989-3 1.840772+2 3.751819-3 1.905461+2 3.622371-3 1.949845+2 3.539104-3 2.041738+2 3.378269-3 2.065380+2 3.339215-3 2.113489+2 3.262458-3 2.137962+2 3.224743-3 2.162719+2 3.187464-3 2.187762+2 3.150647-3 2.213095+2 3.114257-3 2.238721+2 3.078287-3 2.398833+2 2.871025-3 2.818383+2 2.440068-3 3.349654+2 2.049855-3 3.427678+2 2.002782-3 3.548134+2 1.934192-3 3.630781+2 1.889778-3 3.672823+2 1.867955-3 3.801894+2 1.803988-3 3.890451+2 1.762769-3 4.073803+2 1.683136-3 4.120975+2 1.663796-3 4.216965+2 1.625781-3 4.265795+2 1.607100-3 4.315191+2 1.588634-3 4.365158+2 1.570392-3 4.415704+2 1.552359-3 4.466836+2 1.534533-3 4.786301+2 1.431797-3 1.122018+3 6.091312-4 1.333521+3 5.122409-4 1.364583+3 5.005449-4 1.412538+3 4.834999-4 1.445440+3 4.724609-4 1.462177+3 4.670363-4 1.513561+3 4.511331-4 1.548817+3 4.408571-4 1.717908+3 3.974366-4 1.737801+3 3.928851-4 1.778279+3 3.839383-4 1.905461+3 3.583015-4 3.235937+3 2.109367-4 3.273407+3 2.085211-4 3.349654+3 2.037727-4 3.388442+3 2.014391-4 3.427678+3 1.991323-4 3.507519+3 1.945978-4 7.079458+4 9.630542-6 1.000000+5 6.817028-6 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.550000-6 5.550000-6 9.740000-6 5.550000-6 9.740000-6 8.647498-6 1.103000-5 8.885818-6 1.103000-5 9.764344-6 1.310000-5 9.956730-6 1.515000-5 1.007098-5 1.778279-5 1.013801-5 2.570396-5 1.018203-5 2.954000-5 1.019311-5 2.954000-5 2.778987-5 3.210000-5 2.647976-5 3.467369-5 2.500722-5 3.558000-5 2.445827-5 3.558000-5 2.954388-5 4.027170-5 2.667847-5 4.623810-5 2.309337-5 4.954502-5 2.119352-5 5.308844-5 1.934356-5 5.500000-5 1.844866-5 5.754399-5 1.737121-5 5.830000-5 1.707993-5 5.830000-5 1.735811-5 6.095369-5 1.641682-5 6.300000-5 1.578497-5 6.531306-5 1.517077-5 6.760830-5 1.464380-5 7.079458-5 1.404410-5 7.328245-5 1.365552-5 7.673615-5 1.322075-5 8.035261-5 1.286168-5 8.413951-5 1.256781-5 8.912509-5 1.227469-5 9.549926-5 1.200670-5 1.023293-4 1.180788-5 1.122018-4 1.161240-5 1.260000-4 1.144671-5 1.428894-4 1.133325-5 1.698244-4 1.124786-5 1.783300-4 1.123318-5 1.783300-4 1.217027-5 1.869500-4 1.274572-5 1.869500-4 1.339849-5 1.916000-4 1.372999-5 1.955000-4 1.391494-5 1.985000-4 1.397641-5 2.020000-4 1.395898-5 2.070000-4 1.381303-5 2.240000-4 1.306242-5 2.317395-4 1.277412-5 2.404400-4 1.254162-5 2.491600-4 1.239946-5 2.580000-4 1.234201-5 2.691535-4 1.236393-5 2.830000-4 1.250334-5 3.019952-4 1.282164-5 3.238700-4 1.328272-5 3.238700-4 1.545654-5 3.713700-4 1.668365-5 3.713700-4 1.730954-5 4.415704-4 1.913988-5 4.537300-4 1.943183-5 4.537300-4 2.075159-5 5.011872-4 2.193697-5 5.688529-4 2.341192-5 6.237348-4 2.447687-5 6.850000-4 2.552832-5 7.673615-4 2.675866-5 8.511380-4 2.785139-5 9.660509-4 2.912987-5 1.109175-3 3.046743-5 1.244515-3 3.152276-5 1.428894-3 3.271695-5 1.469800-3 3.295496-5 1.469800-3 4.812601-5 1.516000-3 4.814248-5 1.516000-3 5.081836-5 1.603245-3 5.139085-5 1.737801-3 5.197059-5 1.840772-3 5.209494-5 1.865100-3 5.209779-5 1.865100-3 5.627595-5 2.018366-3 5.650278-5 2.075200-3 5.662476-5 2.075200-3 5.857559-5 2.277400-3 5.920732-5 2.277400-3 6.125949-5 2.917427-3 6.346079-5 3.758374-3 6.579329-5 4.786301-3 6.808376-5 6.025596-3 7.027369-5 7.500000-3 7.233334-5 8.638100-3 7.363674-5 8.638100-3 9.645979-5 9.629400-3 9.683880-5 9.629400-3 1.024583-4 1.008100-2 1.026275-4 1.008100-2 1.083538-4 1.462177-2 1.108813-4 2.113489-2 1.134097-4 3.000000-2 1.158154-4 4.168694-2 1.180215-4 5.888437-2 1.202036-4 5.948800-2 1.202654-4 5.948800-2 1.137412-4 1.603245-1 1.143617-4 5.432503-1 1.147537-4 1.000000+5 1.148061-4 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.550000-6 0.0 1.869500-4 0.0 1.869500-4 7.25311-10 1.877000-4 7.44063-10 1.885000-4 7.68980-10 1.897000-4 8.13398-10 1.905461-4 8.49176-10 1.916000-4 8.96442-10 1.945000-4 1.035723-9 1.955000-4 1.081899-9 1.965000-4 1.125112-9 1.974000-4 1.160684-9 1.985000-4 1.198485-9 1.996000-4 1.229631-9 2.005000-4 1.249890-9 2.015000-4 1.266926-9 2.025000-4 1.278406-9 2.037800-4 1.285646-9 2.050000-4 1.285894-9 2.065380-4 1.278133-9 2.080000-4 1.264428-9 2.100000-4 1.237569-9 2.120000-4 1.204440-9 2.142000-4 1.162996-9 2.205000-4 1.033278-9 2.240000-4 9.60610-10 2.280000-4 8.79892-10 2.317395-4 8.10861-10 2.350000-4 7.55972-10 2.371374-4 7.22115-10 2.415000-4 6.61822-10 2.458000-4 6.12724-10 2.491600-4 5.80870-10 2.520000-4 5.58957-10 2.550800-4 5.39927-10 2.580000-4 5.25870-10 2.610000-4 5.15159-10 2.635000-4 5.09048-10 2.660725-4 5.05146-10 2.691535-4 5.03554-10 2.722701-4 5.05262-10 2.758100-4 5.10649-10 2.786121-4 5.17280-10 2.830000-4 5.31557-10 2.865000-4 5.46280-10 2.917427-4 5.72755-10 2.980000-4 6.09903-10 3.054921-4 6.61129-10 3.150000-4 7.35047-10 3.238700-4 8.08560-10 3.238700-4 1.646664-9 3.430000-4 1.838381-9 3.713700-4 2.133460-9 3.713700-4 2.582495-9 4.168694-4 3.097222-9 4.518559-4 3.475773-9 4.537300-4 3.495394-9 4.537300-4 4.046639-9 4.850000-4 4.394896-9 5.069907-4 4.624930-9 5.580000-4 5.116300-9 5.821032-4 5.335266-9 6.237348-4 5.687123-9 6.606934-4 5.976299-9 7.079458-4 6.315599-9 7.673615-4 6.705805-9 8.317638-4 7.086543-9 8.912509-4 7.406411-9 9.700000-4 7.783931-9 1.071519-3 8.221466-9 1.190000-3 8.659961-9 1.244515-3 8.844030-9 1.350000-3 9.165203-9 1.469800-3 9.489965-9 1.469800-3 9.958287-9 1.516000-3 9.990674-9 1.516000-3 2.866090-6 1.547300-3 3.066412-6 1.548000-3 3.062672-6 1.572000-3 3.219915-6 1.640590-3 3.581743-6 1.712300-3 3.911958-6 1.737801-3 3.986768-6 1.761500-3 4.043243-6 1.800000-3 4.101031-6 1.865100-3 4.091593-6 1.865100-3 4.076599-6 2.075200-3 4.055438-6 2.075200-3 4.478475-6 2.277400-3 4.510332-6 2.277400-3 4.652151-6 2.851018-3 4.755595-6 3.630781-3 4.867683-6 4.954502-3 5.013039-6 6.531306-3 5.143782-6 8.317638-3 5.256974-6 8.638100-3 5.273787-6 8.638100-3 1.021982-3 9.015711-3 1.023724-3 9.629400-3 1.022615-3 9.629400-3 1.352562-3 1.008100-2 1.356456-3 1.008100-2 1.429665-3 1.350000-2 1.445996-3 2.018366-2 1.460630-3 3.349654-2 1.471963-3 5.948800-2 1.480203-3 5.948800-2 4.167108-2 6.760830-2 4.195296-2 8.959900-2 4.237219-2 1.318257-1 4.271346-2 2.137962-1 4.294248-2 6.531306-1 4.321856-2 1.230269+0 4.334563-2 1.000000+5 4.333318-2 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.550000-6 0.0 9.740000-6 4.190000-6 9.740000-6 1.092502-6 1.023293-5 1.495164-6 1.103000-5 2.144182-6 1.103000-5 1.265656-6 1.180000-5 1.956228-6 1.273503-5 2.806744-6 1.370000-5 3.702374-6 1.500000-5 4.934787-6 1.690000-5 6.777716-6 2.113489-5 1.096839-5 2.954000-5 1.934689-5 2.954000-5 1.750129-6 3.040000-5 3.033296-6 3.150000-5 4.698481-6 3.273407-5 6.604129-6 3.427678-5 9.032723-6 3.558000-5 1.112173-5 3.558000-5 6.036123-6 3.635000-5 7.299234-6 3.890451-5 1.140893-5 4.623810-5 2.314473-5 5.011872-5 2.923897-5 5.308844-5 3.374488-5 5.688529-5 3.924682-5 5.830000-5 4.122007-5 5.830000-5 4.094189-5 6.237348-5 4.640566-5 6.683439-5 5.202282-5 7.244360-5 5.866564-5 8.035261-5 6.749093-5 9.150000-5 7.933633-5 1.161449-4 1.045893-4 1.783300-4 1.670968-4 1.783300-4 1.661597-4 1.869500-4 1.742043-4 1.869500-4 1.735508-4 2.005000-4 1.865215-4 2.511886-4 2.388093-4 3.150000-4 3.019088-4 3.238700-4 3.105865-4 3.238700-4 3.084118-4 3.713700-4 3.546842-4 3.713700-4 3.540579-4 4.537300-4 4.342947-4 4.537300-4 4.329744-4 8.035261-4 7.762645-4 1.469800-3 1.436836-3 1.469800-3 1.421664-3 1.516000-3 1.467848-3 1.516000-3 1.462316-3 1.865100-3 1.808911-3 1.865100-3 1.804748-3 2.075200-3 2.014520-3 2.075200-3 2.012146-3 5.821032-3 5.745994-3 8.638100-3 8.559190-3 8.638100-3 7.519658-3 9.629400-3 8.509946-3 9.629400-3 8.174380-3 1.008100-2 8.621917-3 1.008100-2 8.542981-3 3.507519-2 3.348543-2 5.948800-2 5.788753-2 5.948800-2 1.770318-2 6.237348-2 2.046390-2 6.760830-2 2.554151-2 8.959900-2 4.711277-2 1.531088-1 1.101855-1 1.000000+5 9.999996+4 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 5.948800-2 3.148111+3 6.050000-2 3.025240+3 6.100000-2 2.961900+3 6.180000-2 2.873200+3 6.310000-2 2.715920+3 6.606934-2 2.424663+3 7.161434-2 1.962265+3 8.035261-2 1.458697+3 8.959900-2 1.093878+3 1.109175-1 6.174563+2 1.412538-1 3.200538+2 2.238721-1 9.096313+1 2.722701-1 5.363916+1 3.198895-1 3.497087+1 3.672823-1 2.440633+1 4.168694-1 1.767519+1 4.731513-1 1.289989+1 5.308844-1 9.756588+0 5.956621-1 7.435186+0 6.683439-1 5.709907+0 7.498942-1 4.419279+0 8.413951-1 3.446416+0 9.332543-1 2.775674+0 1.035142+0 2.252818+0 1.188502+0 1.718268+0 1.333521+0 1.380176+0 1.500000+0 1.111059+0 1.698244+0 8.907454-1 1.927525+0 7.165027-1 2.187762+0 5.806802-1 2.511886+0 4.653629-1 2.884032+0 3.758292-1 3.349654+0 3.005514-1 3.890451+0 2.422108-1 4.570882+0 1.935151-1 5.432503+0 1.533578-1 6.456542+0 1.224293-1 7.762471+0 9.703297-2 9.549926+0 7.532921-2 1.188502+1 5.811297-2 1.531087+1 4.341047-2 2.041738+1 3.145408-2 2.786121+1 2.241275-2 3.845918+1 1.588739-2 5.888437+1 1.016897-2 9.772372+1 6.032073-3 1.905461+2 3.058631-3 3.801894+2 1.523254-3 1.513561+3 3.809320-4 1.000000+5 5.756500-6 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 5.948800-2 1.122200-4 1.000000+5 1.122200-4 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.948800-2 5.104200-2 1.000000+5 5.104200-2 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 5.948800-2 8.333780-3 1.000000+5 9.999995+4 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.008100-2 1.202713+4 1.022000-2 1.163470+4 1.050000-2 1.113362+4 1.071519-2 1.074662+4 1.110000-2 1.015316+4 1.202264-2 8.806108+3 1.318257-2 7.505574+3 1.603245-2 5.203088+3 2.018366-2 3.301900+3 2.230000-2 2.689640+3 2.600160-2 1.950705+3 3.054921-2 1.375802+3 3.400000-2 1.085626+3 3.981072-2 7.596590+2 4.677351-2 5.225590+2 5.500000-2 3.556520+2 6.531306-2 2.343511+2 7.762471-2 1.527835+2 9.225714-2 9.884337+1 1.122019-1 5.987036+1 1.333521-1 3.823696+1 2.454709-1 7.719025+0 3.019952-1 4.506664+0 3.548134-1 2.985369+0 4.073803-1 2.111019+0 4.677351-1 1.504106+0 5.308844-1 1.110286+0 6.000000-1 8.340008-1 6.760830-1 6.358900-1 7.585776-1 4.930803-1 8.609938-1 3.756793-1 9.549926-1 3.029442-1 1.071519+0 2.406326-1 1.230269+0 1.838732-1 1.380384+0 1.480048-1 1.548817+0 1.199368-1 1.757924+0 9.592439-2 2.000000+0 7.701703-2 2.290868+0 6.163244-2 2.630268+0 4.951957-2 3.019952+0 4.008612-2 3.507519+0 3.213531-2 4.073803+0 2.595640-2 4.786301+0 2.078288-2 5.688529+0 1.650302-2 6.760830+0 1.319964-2 8.128305+0 1.048131-2 1.011579+1 8.039299-3 1.258925+1 6.214559-3 1.603245+1 4.712006-3 2.113489+1 3.462336-3 2.917427+1 2.438818-3 4.120975+1 1.688994-3 6.456542+1 1.056872-3 1.083927+2 6.204368-4 2.162719+2 3.077049-4 4.315191+2 1.533676-4 1.717908+3 3.837368-5 1.000000+5 6.582600-7 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.008100-2 1.448300-4 1.000000+5 1.448300-4 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.008100-2 1.896000-3 1.000000+5 1.896000-3 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.008100-2 8.040170-3 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 9.629400-3 2.349717+4 9.750000-3 2.291203+4 1.000000-2 2.167053+4 1.060000-2 1.868100+4 1.230269-2 1.266400+4 1.333521-2 1.019600+4 1.531087-2 6.980600+3 1.862087-2 4.051800+3 2.344229-2 2.092900+3 2.917427-2 1.101300+3 3.630781-2 5.724100+2 4.500000-2 2.981800+2 5.623413-2 1.501900+2 7.413102-2 6.362600+1 1.288250-1 1.132103+1 1.650000-1 5.256665+0 1.995262-1 2.938174+0 2.344229-1 1.806288+0 2.722701-1 1.157874+0 3.126079-1 7.736964-1 3.548134-1 5.384586-1 4.027170-1 3.776049-1 4.518559-1 2.754616-1 5.069907-1 2.024567-1 5.623413-1 1.545331-1 6.237348-1 1.187533-1 6.918310-1 9.190389-2 7.762471-1 6.946965-2 8.413951-1 5.747095-2 9.120108-1 4.789046-2 9.772372-1 4.123743-2 1.059254+0 3.492027-2 1.161449+0 2.907926-2 1.273503+0 2.438044-2 1.412538+0 2.014970-2 1.678804+0 1.480865-2 1.905461+0 1.189897-2 2.162719+0 9.635055-3 2.454709+0 7.858210-3 2.818383+0 6.338995-3 3.273407+0 5.063378-3 3.801894+0 4.075897-3 4.466836+0 3.252871-3 5.308844+0 2.575226-3 6.309573+0 2.053827-3 7.585776+0 1.626215-3 9.332543+0 1.261330-3 1.161449+1 9.722889-4 1.479108+1 7.353116-4 1.949845+1 5.390672-4 2.600160+1 3.932939-4 3.589219+1 2.783731-4 5.432503+1 1.800980-4 8.912509+1 1.079593-4 1.678804+2 5.662920-5 3.349654+2 2.818020-5 1.333521+3 7.042765-6 1.000000+5 9.375000-8 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 9.629400-3 1.174500-4 1.000000+5 1.174500-4 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 9.629400-3 2.232800-3 1.000000+5 2.232800-3 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 9.629400-3 7.279150-3 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 8.638100-3 5.237338+4 8.740000-3 5.085064+4 8.850000-3 4.942060+4 9.400000-3 4.215760+4 1.109175-2 2.675321+4 1.244515-2 1.930872+4 1.640590-2 8.671672+3 1.800000-2 6.578520+3 2.137962-2 3.922131+3 2.650000-2 2.027648+3 3.198895-2 1.124832+3 3.845918-2 6.264560+2 4.677351-2 3.334702+2 5.754399-2 1.696471+2 7.413102-2 7.360792+1 1.428894-1 8.322425+0 1.737801-1 4.373208+0 2.041738-1 2.588822+0 2.371374-1 1.602684+0 2.691535-1 1.075396+0 3.054921-1 7.268847-1 3.427678-1 5.128541-1 3.801894-1 3.772181-1 4.216965-1 2.793811-1 4.677351-1 2.084429-1 5.128614-1 1.617406-1 5.623413-1 1.263546-1 6.165950-1 9.935195-2 6.760830-1 7.863018-2 7.413102-1 6.263734-2 8.128305-1 5.023854-2 9.225714-1 3.746509-2 9.772372-1 3.297018-2 1.047129+0 2.851996-2 1.135011+0 2.424722-2 1.244515+0 2.029316-2 1.380384+0 1.676208-2 1.698244+0 1.159131-2 1.927525+0 9.318116-3 2.187762+0 7.551134-3 2.511886+0 6.051299-3 2.884032+0 4.886642-3 3.311311+0 3.974440-3 3.845918+0 3.201166-3 4.518559+0 2.556175-3 5.370318+0 2.024701-3 6.382635+0 1.615582-3 7.673615+0 1.279804-3 9.440609+0 9.931393-4 1.174898+1 7.658251-4 1.513561+1 5.718390-4 2.000000+1 4.184200-4 2.691535+1 3.024751-4 3.715352+1 2.142478-4 5.688529+1 1.370463-4 9.332543+1 8.221631-5 1.778279+2 4.264866-5 3.548134+2 2.123030-5 1.412538+3 5.307573-6 1.000000+5 7.484500-8 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 8.638100-3 1.099200-4 1.000000+5 1.099200-4 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 8.638100-3 1.621600-3 1.000000+5 1.621600-3 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 8.638100-3 6.906580-3 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.277400-3 3.536471+4 2.385000-3 3.359600+4 2.722701-3 2.823132+4 3.320000-3 2.116000+4 3.900000-3 1.657608+4 4.265795-3 1.433448+4 5.069907-3 1.076636+4 5.688529-3 8.819467+3 6.606934-3 6.767229+3 7.943282-3 4.826515+3 9.120108-3 3.717995+3 1.047129-2 2.848814+3 1.244515-2 2.025433+3 1.479108-2 1.427553+3 1.757924-2 9.976979+2 2.089296-2 6.914776+2 2.454709-2 4.874153+2 2.851018-2 3.499642+2 3.349654-2 2.432271+2 3.935501-2 1.678084+2 4.623810-2 1.149379+2 5.500000-2 7.587100+1 6.531306-2 4.989249+1 7.762471-2 3.250045+1 9.332543-2 2.042116+1 1.148154-1 1.200764+1 1.513561-1 5.863232+0 2.426610-1 1.703662+0 3.000060-1 9.840374-1 3.548134-1 6.415652-1 4.120975-1 4.412509-1 4.731513-1 3.147708-1 5.370318-1 2.326102-1 6.025596-1 1.778491-1 6.760830-1 1.369394-1 7.585776-1 1.061779-1 8.609938-1 8.088622-2 9.549926-1 6.522002-2 1.071519+0 5.180434-2 1.230269+0 3.958294-2 1.380384+0 3.186260-2 1.548817+0 2.582193-2 1.757924+0 2.065353-2 2.000000+0 1.658099-2 2.264644+0 1.351575-2 2.600160+0 1.085266-2 3.000000+0 8.716500-3 3.467369+0 7.034924-3 4.027170+0 5.679045-3 4.731513+0 4.544783-3 5.623413+0 3.607013-3 6.683439+0 2.883708-3 8.035261+0 2.288739-3 1.000000+1 1.754700-3 1.244515+1 1.355887-3 1.600000+1 1.016800-3 2.113489+1 7.453946-4 2.917427+1 5.250475-4 4.120975+1 3.636241-4 6.456542+1 2.275266-4 1.083927+2 1.335711-4 2.162719+2 6.624429-5 4.315191+2 3.301729-5 3.427678+3 4.136720-6 1.000000+5 1.417100-7 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.277400-3 1.084800-4 1.000000+5 1.084800-4 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.277400-3 7.915400-6 1.000000+5 7.915400-6 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.277400-3 2.161005-3 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 2.075200-3 5.688960+4 2.145000-3 5.515986+4 2.162719-3 5.459459+4 2.371374-3 4.946550+4 2.500000-3 4.631800+4 2.722701-3 4.129923+4 2.951209-3 3.684111+4 3.235937-3 3.208450+4 3.507519-3 2.820447+4 3.758374-3 2.510959+4 4.400000-3 1.899004+4 4.731513-3 1.660104+4 5.308844-3 1.327927+4 5.888437-3 1.080030+4 6.531306-3 8.708200+3 7.328245-3 6.813065+3 8.128305-3 5.420635+3 9.120108-3 4.179078+3 1.035142-2 3.110987+3 1.150000-2 2.420140+3 1.318257-2 1.732535+3 1.500000-2 1.252648+3 1.698244-2 9.108596+2 1.950000-2 6.338760+2 2.238721-2 4.378815+2 2.600160-2 2.908227+2 3.019952-2 1.915886+2 3.507519-2 1.252668+2 4.120975-2 7.867298+1 4.841724-2 4.905812+1 5.888437-2 2.742437+1 7.413102-2 1.370561+1 9.885531-2 5.706426+0 1.548817-1 1.448246+0 1.927525-1 7.471309-1 2.113489-1 5.679598-1 2.600160-1 3.079553-1 3.019952-1 1.994198-1 3.467369-1 1.345346-1 3.935501-1 9.447412-2 4.415705-1 6.897126-2 4.954502-1 5.071539-2 5.495409-1 3.871964-2 6.095369-1 2.975961-2 6.760830-1 2.303414-2 7.498942-1 1.795503-2 8.609938-1 1.298920-2 9.225714-1 1.110988-2 9.885531-1 9.565514-3 1.071519+0 8.103215-3 1.174898+0 6.752187-3 1.288250+0 5.666801-3 1.428894+0 4.688257-3 1.698244+0 3.447675-3 1.927525+0 2.771891-3 2.187762+0 2.246494-3 2.511886+0 1.800299-3 2.884032+0 1.453729-3 3.311311+0 1.182324-3 3.845918+0 9.522757-4 4.518559+0 7.604037-4 5.370318+0 6.023004-4 6.382635+0 4.805916-4 7.585776+0 3.862138-4 9.332543+0 2.995629-4 1.161449+1 2.309162-4 1.479108+1 1.746298-4 1.949845+1 1.280241-4 2.600160+1 9.340379-5 3.630781+1 6.530929-5 5.559043+1 4.175816-5 9.120108+1 2.504214-5 1.717908+2 1.313888-5 3.427678+2 6.539221-6 1.364583+3 1.634447-6 1.000000+5 2.226500-8 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 2.075200-3 9.119500-5 1.000000+5 9.119500-5 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.075200-3 1.155200-5 1.000000+5 1.155200-5 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.075200-3 1.972453-3 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.865100-3 1.667899+5 1.945000-3 1.526528+5 2.187762-3 1.293962+5 2.400000-3 1.119804+5 2.660725-3 9.464668+4 2.917427-3 8.091740+4 3.198895-3 6.863990+4 3.427678-3 6.031734+4 4.027170-3 4.419204+4 4.365158-3 3.756232+4 5.069907-3 2.746973+4 5.559043-3 2.251037+4 6.382635-3 1.654207+4 7.079458-3 1.303427+4 8.035261-3 9.669932+3 9.120108-3 7.109879+3 1.015000-2 5.449887+3 1.161449-2 3.866974+3 1.333521-2 2.695347+3 1.513561-2 1.920982+3 1.698244-2 1.403397+3 1.927525-2 9.870788+2 2.187762-2 6.896362+2 2.511886-2 4.629157+2 2.884032-2 3.084343+2 3.311311-2 2.040881+2 3.801894-2 1.341776+2 4.415704-2 8.459253+1 5.188000-2 5.110531+1 6.165950-2 2.956592+1 7.585776-2 1.520787+1 1.011580-1 5.982192+0 1.513561-1 1.607871+0 1.862087-1 8.233955-1 2.238721-1 4.576038-1 2.570396-1 2.965606-1 2.917427-1 2.006160-1 3.273407-1 1.415526-1 3.672823-1 1.005912-1 4.073803-1 7.447181-2 4.518559-1 5.552956-2 5.011872-1 4.170300-2 5.559043-1 3.155046-2 6.095369-1 2.478789-2 6.683439-1 1.961056-2 7.328245-1 1.562029-2 8.317638-1 1.153387-2 9.015711-1 9.566058-3 9.660509-1 8.207760-3 1.035142+0 7.098306-3 1.135011+0 5.896665-3 1.250000+0 4.894293-3 1.380384+0 4.074507-3 1.678804+0 2.873571-3 1.905461+0 2.308671-3 2.162719+0 1.869436-3 2.454709+0 1.524598-3 2.818383+0 1.229678-3 3.235937+0 9.989988-4 3.758374+0 8.037067-4 4.365158+0 6.513122-4 5.188000+0 5.150994-4 6.165950+0 4.104176-4 7.413102+0 3.246415-4 9.015711+0 2.551192-4 1.109175+1 1.990982-4 1.400000+1 1.518900-4 1.798871+1 1.143901-4 2.344229+1 8.538861-5 3.273407+1 5.955592-5 4.841724+1 3.939612-5 7.852356+1 2.385306-5 1.412538+2 1.308868-5 2.818383+2 6.505911-6 1.122018+3 1.624147-6 7.079458+4 2.568496-8 1.000000+5 1.818500-8 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.865100-3 8.280400-5 1.000000+5 8.280400-5 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.865100-3 3.981400-6 1.000000+5 3.981400-6 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.865100-3 1.778315-3 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.516000-3 3.407973+5 1.547300-3 3.582469+5 1.548000-3 3.573651+5 1.572000-3 3.699683+5 1.640590-3 3.855841+5 1.664800-3 3.881327+5 1.690000-3 3.916083+5 1.712300-3 3.936193+5 1.737801-3 3.901966+5 1.761500-3 3.853036+5 1.800000-3 3.732564+5 2.041738-3 2.712636+5 2.238721-3 2.134359+5 2.454709-3 1.668038+5 2.691535-3 1.295072+5 3.090295-3 8.771641+4 3.311311-3 7.180625+4 3.900000-3 4.417360+4 4.300000-3 3.280360+4 4.954502-3 2.113967+4 5.623413-3 1.413463+4 6.300000-3 9.794000+3 7.328245-3 5.948607+3 8.317638-3 3.883945+3 9.332543-3 2.620236+3 1.071519-2 1.621392+3 1.244515-2 9.552318+2 1.450000-2 5.514760+2 1.678804-2 3.229682+2 1.950000-2 1.854376+2 2.264644-2 1.057235+2 2.660725-2 5.726759+1 3.162278-2 2.945398+1 3.845918-2 1.374523+1 4.841724-2 5.558840+0 1.011580-1 3.003148-1 1.230269-1 1.392922-1 1.462177-1 7.122695-2 1.698244-1 4.011346-2 1.972423-1 2.275765-2 2.238721-1 1.418383-2 2.540973-1 8.904448-3 2.851018-1 5.872800-3 3.198895-1 3.901963-3 3.548134-1 2.719091-3 3.935501-1 1.907807-3 4.365158-1 1.347217-3 4.786301-1 9.961234-4 5.128614-1 7.989843-4 5.623413-1 6.003848-4 6.531306-1 3.813644-4 7.161434-1 2.903507-4 7.762471-1 2.302601-4 8.511380-1 1.775079-4 9.015711-1 1.518859-4 9.440609-1 1.349166-4 9.885531-1 1.206412-4 1.035142+0 1.086732-4 1.096478+0 9.610282-5 1.161449+0 8.559441-5 1.244515+0 7.506793-5 1.348963+0 6.492363-5 1.531087+0 5.214214-5 1.819701+0 3.849541-5 2.018366+0 3.227586-5 2.290868+0 2.622489-5 2.630268+0 2.107079-5 3.019952+0 1.705699-5 3.507519+0 1.367370-5 4.073803+0 1.104456-5 4.786301+0 8.843409-6 5.688529+0 7.022173-6 6.760830+0 5.616658-6 8.128305+0 4.460021-6 1.011579+1 3.420801-6 1.258925+1 2.644371-6 1.603245+1 2.005008-6 2.137962+1 1.454710-6 2.951209+1 1.024997-6 4.216965+1 7.014810-7 6.606934+1 4.391111-7 1.122018+2 2.548547-7 2.238721+2 1.264386-7 4.466836+2 6.303417-8 1.778279+3 1.577330-8 1.000000+5 2.80100-10 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.516000-3 6.001300-5 1.000000+5 6.001300-5 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.516000-3 1.268000-5 1.000000+5 1.268000-5 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.516000-3 1.443307-3 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.469800-3 8.821378+5 1.514000-3 8.183954+5 1.551800-3 7.828511+5 1.570000-3 7.639860+5 1.757924-3 5.696209+5 2.000000-3 4.086756+5 2.220000-3 3.100632+5 2.454709-3 2.358743+5 2.691535-3 1.822970+5 3.126079-3 1.186951+5 3.400000-3 9.253920+4 3.935501-3 5.949475+4 4.315191-3 4.473848+4 4.954502-3 2.895559+4 5.559043-3 1.998878+4 6.237348-3 1.371267+4 7.079458-3 8.987851+3 8.000000-3 5.933538+3 9.015711-3 3.926488+3 1.023293-2 2.517235+3 1.174898-2 1.537282+3 1.350000-2 9.287160+2 1.566751-2 5.364312+2 1.819701-2 3.062720+2 2.113489-2 1.733908+2 2.426610-2 1.018448+2 2.818383-2 5.683736+1 3.349654-2 2.875807+1 4.000000-2 1.417206+1 5.011872-2 5.715607+0 9.772372-2 3.803040-1 1.188502-1 1.728773-1 1.396368-1 9.095491-2 1.603245-1 5.281445-2 1.819701-1 3.230914-2 2.065380-1 1.991491-2 2.317395-1 1.292208-2 2.570396-1 8.819521-3 2.818383-1 6.322323-3 3.090295-1 4.562304-3 3.388442-1 3.314587-3 3.715352-1 2.424104-3 4.216965-1 1.591521-3 4.570882-1 1.225380-3 4.954502-1 9.503748-4 5.308844-1 7.704032-4 5.754399-1 6.076121-4 6.237348-1 4.826959-4 6.760830-1 3.860219-4 7.413102-1 3.013064-4 8.709636-1 1.974104-4 9.225714-1 1.708367-4 9.772372-1 1.489435-4 1.023293+0 1.343295-4 1.083927+0 1.188628-4 1.148154+0 1.058259-4 1.230269+0 9.268226-5 1.333521+0 7.996870-5 1.778279+0 4.820589-5 2.000000+0 3.944325-5 2.264644+0 3.215606-5 2.600160+0 2.582090-5 3.000000+0 2.073800-5 3.467369+0 1.673748-5 4.027170+0 1.351166-5 4.731513+0 1.081273-5 5.623413+0 8.581886-6 6.683439+0 6.860967-6 8.035261+0 5.445552-6 1.000000+1 4.174900-6 1.244515+1 3.225961-6 1.600000+1 2.419100-6 2.113489+1 1.773489-6 2.917427+1 1.249153-6 4.073803+1 8.756893-7 6.309573+1 5.544118-7 1.059254+2 3.253564-7 2.113489+2 1.613259-7 4.216965+2 8.039292-8 3.349654+3 1.007163-8 1.000000+5 3.37160-10 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.469800-3 5.462800-5 1.000000+5 5.462800-5 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.469800-3 1.015900-8 1.000000+5 1.015900-8 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.469800-3 1.415162-3 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 4.537300-4 8.163300+4 4.731513-4 8.048125+4 4.900000-4 7.919227+4 5.069907-4 7.744821+4 6.095369-4 6.711839+4 6.531306-4 6.317700+4 7.000000-4 5.894680+4 8.128305-4 5.032923+4 8.810489-4 4.589416+4 1.000000-3 3.926260+4 1.110000-3 3.433700+4 1.230269-3 2.985795+4 1.412538-3 2.456639+4 1.603245-3 2.037180+4 1.819701-3 1.679157+4 2.113489-3 1.324866+4 2.454709-3 1.037201+4 2.818383-3 8.222571+3 3.311311-3 6.225288+3 3.935501-3 4.584514+3 4.677351-3 3.350966+3 5.559043-3 2.432826+3 6.683439-3 1.716963+3 8.035261-3 1.203159+3 9.697000-3 8.309233+2 1.174898-2 5.647161+2 1.396368-2 3.960534+2 1.659587-2 2.758148+2 1.972423-2 1.907077+2 2.344229-2 1.309029+2 2.786121-2 8.918478+1 3.311311-2 6.029894+1 3.935501-2 4.045505+1 4.677351-2 2.693169+1 5.559043-2 1.778964+1 6.606934-2 1.166338+1 7.852356-2 7.591689+0 9.549926-2 4.630291+0 1.188502-1 2.641889+0 1.531088-1 1.369210+0 2.426610-1 4.102845-1 3.000000-1 2.370599-1 3.548134-1 1.545837-1 4.120975-1 1.063349-1 4.731513-1 7.586006-2 5.370318-1 5.606193-2 6.025596-1 4.286627-2 6.760830-1 3.301067-2 7.585776-1 2.559832-2 8.609938-1 1.950069-2 9.549926-1 1.572330-2 1.071519+0 1.248975-2 1.230269+0 9.542836-3 1.380384+0 7.681575-3 1.548817+0 6.225249-3 1.757924+0 4.979033-3 2.000000+0 3.997400-3 2.264644+0 3.258663-3 2.600160+0 2.616554-3 3.000000+0 2.101400-3 3.467369+0 1.695973-3 4.027170+0 1.369098-3 4.731513+0 1.095697-3 5.623413+0 8.696154-4 6.683439+0 6.952158-4 8.035261+0 5.517957-4 9.885531+0 4.289125-4 1.230269+1 3.312934-4 1.584893+1 2.477608-4 2.113489+1 1.797032-4 2.917427+1 1.265828-4 4.120975+1 8.766288-5 6.456542+1 5.485312-5 1.096478+2 3.182556-5 2.187762+2 1.578549-5 4.365158+2 7.868474-6 1.737801+3 1.968834-6 1.000000+5 3.416500-8 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 4.537300-4 6.705500-5 1.000000+5 6.705500-5 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.537300-4 2.338700-8 1.000000+5 2.338700-8 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.537300-4 3.866516-4 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 3.713700-4 6.626275+4 4.000000-4 6.519663+4 5.188000-4 6.287095+4 5.688529-4 6.156598+4 6.100000-4 6.024160+4 6.531306-4 5.859621+4 7.000000-4 5.657980+4 7.500000-4 5.422520+4 8.128305-4 5.122627+4 8.810489-4 4.805363+4 9.500000-4 4.492640+4 1.035142-3 4.130596+4 1.122018-3 3.794890+4 1.216186-3 3.463865+4 1.350000-3 3.052660+4 1.479108-3 2.714468+4 1.650000-3 2.337940+4 1.819701-3 2.031437+4 2.041738-3 1.707475+4 2.264644-3 1.449975+4 2.540973-3 1.199833+4 2.851018-3 9.852654+3 3.198895-3 8.031554+3 3.589219-3 6.500402+3 4.027170-3 5.225484+3 4.518559-3 4.173332+3 5.128614-3 3.234925+3 5.821032-3 2.488768+3 6.606934-3 1.900526+3 7.500000-3 1.440222+3 8.413951-3 1.112882+3 9.500000-3 8.421340+2 1.071519-2 6.345519+2 1.216186-2 4.677983+2 1.380384-2 3.424172+2 1.584893-2 2.417362+2 1.819701-2 1.693255+2 2.089296-2 1.177095+2 2.398833-2 8.123438+1 2.786121-2 5.393453+1 3.198895-2 3.669979+1 3.758374-2 2.323659+1 4.415704-2 1.460226+1 5.188000-2 9.113502+0 6.309573-2 5.097861+0 8.000000-2 2.498278+0 1.584893-1 3.135345-1 1.972423-1 1.623707-1 2.371374-1 9.392470-2 2.754229-1 6.061271-2 3.162278-1 4.072780-2 3.589219-1 2.847599-2 4.073803-1 2.005332-2 4.570882-1 1.468074-2 5.128614-1 1.082718-2 5.754399-1 8.049414-3 6.456542-1 6.031742-3 7.161434-1 4.685190-3 7.943282-1 3.665515-3 8.709636-1 2.957663-3 9.332543-1 2.533133-3 1.000000+0 2.184433-3 1.096478+0 1.810547-3 1.202264+0 1.511381-3 1.318257+0 1.270614-3 1.479108+0 1.031216-3 1.717908+0 7.907131-4 1.949845+0 6.362198-4 2.213095+0 5.159687-4 2.540973+0 4.137591-4 2.917427+0 3.343214-4 3.349654+0 2.720668-4 3.890451+0 2.192574-4 4.570882+0 1.751741-4 5.432503+0 1.388201-4 6.456542+0 1.108245-4 7.762471+0 8.783622-5 9.549926+0 6.818919-5 1.188502+1 5.260433-5 1.531087+1 3.929551-5 2.041738+1 2.847296-5 2.786121+1 2.028841-5 3.845918+1 1.438117-5 5.888437+1 9.205064-6 9.772372+1 5.460264-6 1.905461+2 2.768762-6 3.801894+2 1.378867-6 1.513561+3 3.448290-7 1.000000+5 5.210800-9 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 3.713700-4 5.142800-5 1.000000+5 5.142800-5 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.713700-4 2.706000-8 1.000000+5 2.706000-8 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.713700-4 3.199149-4 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 3.238700-4 2.754993+5 4.415704-4 2.356604+5 4.786301-4 2.246075+5 5.188000-4 2.129011+5 5.623413-4 2.004768+5 6.095369-4 1.875055+5 6.606934-4 1.740111+5 7.300000-4 1.573040+5 8.000000-4 1.423720+5 8.709636-4 1.288574+5 9.700000-4 1.126904+5 1.059254-3 1.003609+5 1.190000-3 8.539120+4 1.318257-3 7.354623+4 1.479108-3 6.169336+4 1.650000-3 5.182400+4 1.862087-3 4.241117+4 2.090000-3 3.474766+4 2.317395-3 2.890480+4 2.630268-3 2.288956+4 3.000000-3 1.780624+4 3.388442-3 1.400519+4 3.801894-3 1.108844+4 4.300000-3 8.579280+3 4.897788-3 6.491434+3 5.559043-3 4.912596+3 6.300000-3 3.703756+3 7.079458-3 2.828621+3 8.000000-3 2.118452+3 9.015711-3 1.586506+3 1.023293-2 1.159596+3 1.161449-2 8.413765+2 1.318257-2 6.059188+2 1.500000-2 4.303240+2 1.717908-2 2.981483+2 1.972423-2 2.035528+2 2.264644-2 1.378884+2 2.600160-2 9.270811+1 3.000000-2 6.099720+1 3.467369-2 3.962427+1 4.027170-2 2.517999+1 4.731513-2 1.533102+1 5.623413-2 8.937178+0 6.760830-2 4.985577+0 8.413951-2 2.471388+0 1.640590-1 2.836098-1 1.995262-1 1.513503-1 2.344229-1 9.084550-2 2.691535-1 5.907222-2 3.054921-1 4.009757-2 3.427678-1 2.838778-2 3.845918-1 2.024556-2 4.265795-1 1.503964-2 4.731513-1 1.125250-2 5.188000-1 8.751183-3 5.754399-1 6.645738-3 6.309573-1 5.239054-3 6.918310-1 4.157065-3 7.585776-1 3.320234-3 8.609938-1 2.456989-3 9.225714-1 2.097852-3 9.885531-1 1.804173-3 1.071519+0 1.527381-3 1.174898+0 1.272420-3 1.288250+0 1.068030-3 1.428894+0 8.839653-4 1.698244+0 6.502620-4 1.927525+0 5.227785-4 2.187762+0 4.236627-4 2.511886+0 3.395123-4 2.884032+0 2.741617-4 3.311311+0 2.229830-4 3.845918+0 1.795999-4 4.518559+0 1.434099-4 5.370318+0 1.135923-4 6.382635+0 9.064085-5 7.673615+0 7.180336-5 9.440609+0 5.571865-5 1.174898+1 4.296689-5 1.500000+1 3.241300-5 1.995262+1 2.353674-5 2.691535+1 1.697003-5 3.758374+1 1.187543-5 5.754399+1 7.597671-6 9.549926+1 4.505151-6 1.840772+2 2.310549-6 3.672823+2 1.150436-6 1.462177+3 2.876622-7 1.000000+5 4.199200-9 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 3.238700-4 4.655100-5 1.000000+5 4.655100-5 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.238700-4 1.363500-8 1.000000+5 1.363500-8 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.238700-4 2.773054-4 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.869500-4 2.773500+5 1.877000-4 2.848076+5 1.885000-4 2.946724+5 1.897000-4 3.121088+5 1.930000-4 3.699376+5 1.945000-4 3.970232+5 1.955000-4 4.140440+5 1.965000-4 4.296040+5 1.974000-4 4.420280+5 1.985000-4 4.547680+5 1.996000-4 4.645960+5 2.005000-4 4.704000+5 2.015000-4 4.745400+5 2.025000-4 4.763720+5 2.037800-4 4.756736+5 2.050000-4 4.722400+5 2.065380-4 4.647655+5 2.080000-4 4.551680+5 2.100000-4 4.392680+5 2.120000-4 4.213960+5 2.142000-4 4.005320+5 2.170000-4 3.734028+5 2.205000-4 3.400540+5 2.240000-4 3.084096+5 2.371374-4 2.127340+5 2.415000-4 1.899320+5 2.454709-4 1.728636+5 2.491600-4 1.598799+5 2.520000-4 1.515892+5 2.550800-4 1.441211+5 2.580000-4 1.383596+5 2.610000-4 1.336292+5 2.635000-4 1.305472+5 2.660725-4 1.280867+5 2.691535-4 1.259597+5 2.722701-4 1.246703+5 2.758100-4 1.241300+5 2.786121-4 1.243154+5 2.830000-4 1.255392+5 2.865000-4 1.272152+5 2.917427-4 1.306574+5 2.980000-4 1.359112+5 3.054921-4 1.433391+5 3.320000-4 1.739504+5 3.430000-4 1.868584+5 3.550000-4 2.001892+5 3.672823-4 2.127210+5 3.787900-4 2.232579+5 3.890451-4 2.315865+5 4.027170-4 2.411880+5 4.168694-4 2.494545+5 4.315191-4 2.563654+5 4.466836-4 2.618731+5 4.650000-4 2.664488+5 4.850000-4 2.691536+5 5.069907-4 2.698963+5 5.308844-4 2.686784+5 5.580000-4 2.652996+5 5.821032-4 2.608444+5 6.100000-4 2.544544+5 6.456542-4 2.449863+5 6.850000-4 2.336768+5 7.244360-4 2.219229+5 7.673615-4 2.090111+5 8.200000-4 1.935884+5 8.709636-4 1.794389+5 9.332543-4 1.633013+5 1.000000-3 1.475628+5 1.071519-3 1.324902+5 1.150000-3 1.178788+5 1.244515-3 1.027030+5 1.350000-3 8.844600+4 1.462177-3 7.583205+4 1.584893-3 6.449349+4 1.730000-3 5.367280+4 1.883649-3 4.460178+4 2.074000-3 3.588189+4 2.264644-3 2.920676+4 2.483133-3 2.338936+4 2.754229-3 1.807009+4 3.070000-3 1.367060+4 3.400000-3 1.043364+4 3.758374-3 7.947867+3 4.120975-3 6.152919+3 4.518559-3 4.737856+3 5.011872-3 3.508115+3 5.559043-3 2.580572+3 6.237348-3 1.821098+3 7.000000-3 1.274068+3 7.852356-3 8.856968+2 8.810489-3 6.108650+2 9.885531-3 4.182030+2 1.109175-2 2.842886+2 1.258925-2 1.845732+2 1.428894-2 1.189322+2 1.603245-2 7.922403+1 1.819701-2 5.032019+1 2.089296-2 3.044041+1 2.398833-2 1.828231+1 2.786121-2 1.044505+1 3.235937-2 5.923971+0 3.845918-2 3.054751+0 4.677351-2 1.430657+0 5.888437-2 5.812934-1 1.011580-1 6.935942-2 1.244515-1 3.090696-2 1.479108-1 1.586405-2 1.717908-1 8.959799-3 1.972423-1 5.322955-3 2.264644-1 3.185454-3 2.570396-1 2.004451-3 2.884032-1 1.324706-3 3.235937-1 8.818328-4 3.589219-1 6.155708-4 4.000000-1 4.258767-4 4.415705-1 3.063787-4 4.841724-1 2.270411-4 5.248075-1 1.758538-4 5.754399-1 1.322816-4 6.456542-1 9.337403-5 7.079458-1 7.112907-5 7.673615-1 5.640536-5 8.609938-1 4.074288-5 9.120108-1 3.486874-5 9.549926-1 3.096834-5 1.000000+0 2.767800-5 1.047129+0 2.491322-5 1.096478+0 2.257282-5 1.161449+0 2.011004-5 1.230269+0 1.803980-5 1.333521+0 1.559882-5 1.479108+0 1.304813-5 1.840772+0 8.893495-6 2.044000+0 7.447900-6 2.317395+0 6.066610-6 2.660725+0 4.877517-6 3.054921+0 3.950798-6 3.548134+0 3.169045-6 4.120975+0 2.561120-6 4.841724+0 2.051754-6 5.754399+0 1.629993-6 6.839116+0 1.304375-6 8.222427+0 1.036278-6 1.023293+1 7.951460-7 1.273503+1 6.148991-7 1.621810+1 4.663992-7 2.137962+1 3.428156-7 2.951209+1 2.415413-7 4.168694+1 1.673234-7 6.531306+1 1.047191-7 1.109175+2 6.076818-8 2.213095+2 3.014554-8 4.415704+2 1.502697-8 3.507519+3 1.882880-9 1.000000+5 6.60070-11 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.869500-4 3.021000-5 1.000000+5 3.021000-5 1 69000 7 7 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.869500-4 1.940500-8 1.000000+5 1.940500-8 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.869500-4 1.567206-4 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.783300-4 3.954648+5 1.793000-4 4.195590+5 1.825000-4 5.145756+5 1.840000-4 5.619108+5 1.851000-4 5.955504+5 1.863000-4 6.298020+5 1.873000-4 6.555120+5 1.883649-4 6.792656+5 1.894000-4 6.982620+5 1.905461-4 7.142168+5 1.916000-4 7.240740+5 1.927525-4 7.297410+5 1.939000-4 7.304700+5 1.953000-4 7.255260+5 1.965000-4 7.170120+5 1.981300-4 7.004962+5 2.000000-4 6.764940+5 2.020000-4 6.470820+5 2.041738-4 6.128739+5 2.070000-4 5.674452+5 2.100000-4 5.201826+5 2.141200-4 4.592201+5 2.220000-4 3.600402+5 2.280000-4 3.014352+5 2.317395-4 2.721587+5 2.350000-4 2.508504+5 2.380000-4 2.344440+5 2.404400-4 2.231699+5 2.430000-4 2.131692+5 2.458000-4 2.041980+5 2.483133-4 1.977291+5 2.511886-4 1.919867+5 2.540973-4 1.878018+5 2.570396-4 1.850733+5 2.600160-4 1.835900+5 2.630268-4 1.833024+5 2.660725-4 1.841023+5 2.691535-4 1.858868+5 2.730000-4 1.892928+5 2.770000-4 1.939938+5 2.818383-4 2.009384+5 2.884032-4 2.119896+5 3.150000-4 2.650116+5 3.273407-4 2.899757+5 3.390000-4 3.122634+5 3.507519-4 3.327927+5 3.630781-4 3.519973+5 3.740000-4 3.668412+5 3.850000-4 3.797754+5 3.981072-4 3.927339+5 4.120975-4 4.038979+5 4.280000-4 4.135716+5 4.430000-4 4.200144+5 4.600000-4 4.244736+5 4.786301-4 4.263557+5 5.011872-4 4.252664+5 5.248075-4 4.211450+5 5.500000-4 4.142184+5 5.754399-4 4.050752+5 6.025596-4 3.936967+5 6.382635-4 3.772045+5 6.760830-4 3.587269+5 7.161434-4 3.387372+5 7.585776-4 3.178509+5 8.035261-4 2.965665+5 8.511380-4 2.751439+5 9.120108-4 2.497428+5 9.772372-4 2.252070+5 1.047129-3 2.017062+5 1.135011-3 1.760344+5 1.216186-3 1.556823+5 1.318257-3 1.339255+5 1.428894-3 1.144390+5 1.570000-3 9.438180+4 1.698244-3 7.985196+4 1.883649-3 6.347649+4 2.074000-3 5.082538+4 2.238721-3 4.238067+4 2.500000-3 3.231690+4 2.800000-3 2.422062+4 3.126079-3 1.813185+4 3.467369-3 1.370009+4 3.801894-3 1.061275+4 4.168694-3 8.176192+3 4.570882-3 6.264737+3 5.069907-3 4.612725+3 5.623413-3 3.374924+3 6.309573-3 2.365877+3 7.079458-3 1.645527+3 7.943282-3 1.135576+3 8.912509-3 7.779237+2 1.000000-2 5.288502+2 1.122018-2 3.569200+2 1.258925-2 2.392116+2 1.428894-2 1.529228+2 1.603245-2 1.011305+2 1.819701-2 6.370401+1 2.089296-2 3.817421+1 2.398833-2 2.270120+1 2.786121-2 1.282475+1 3.198895-2 7.518072+0 3.758374-2 4.001466+0 4.518559-2 1.930609+0 5.308844-2 1.013990+0 1.000000-1 7.897619-2 1.216186-1 3.610442-2 1.428894-1 1.908333-2 1.640590-1 1.112227-2 1.862087-1 6.826591-3 2.113489-1 4.222020-3 2.371374-1 2.748696-3 2.630268-1 1.881547-3 2.917427-1 1.297908-3 3.198895-1 9.395216-4 3.507519-1 6.847922-4 3.845918-1 5.027022-4 4.216965-1 3.717014-4 4.570882-1 2.872243-4 4.954502-1 2.233857-4 5.370318-1 1.749833-4 5.821032-1 1.380127-4 6.309573-1 1.096239-4 6.839117-1 8.767436-5 7.413102-1 7.057214-5 8.609938-1 4.765448-5 9.120108-1 4.121558-5 9.660509-1 3.590034-5 1.011579+0 3.234576-5 1.071519+0 2.859294-5 1.135011+0 2.542939-5 1.216186+0 2.224249-5 1.318257+0 1.916913-5 1.798871+0 1.109085-5 2.018366+0 9.117950-6 2.290868+0 7.408785-6 2.630268+0 5.952705-6 3.019952+0 4.818685-6 3.507519+0 3.862845-6 4.073803+0 3.120108-6 4.786301+0 2.498344-6 5.688529+0 1.983772-6 6.760830+0 1.586752-6 8.128305+0 1.260029-6 1.011579+1 9.663980-7 1.258925+1 7.470394-7 1.603245+1 5.664225-7 2.113489+1 4.162036-7 2.917427+1 2.931711-7 4.120975+1 2.030379-7 6.382635+1 1.285652-7 1.071519+2 7.546324-8 2.137962+2 3.742190-8 4.265795+2 1.864987-8 3.388442+3 2.336585-9 1.000000+5 7.91280-11 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.783300-4 2.806000-5 1.000000+5 2.806000-5 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.783300-4 1.502700-4 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 1.103000-5 7.814321+5 1.140000-5 7.276789+5 1.180000-5 6.799763+5 1.220000-5 6.406643+5 1.273503-5 5.985299+5 1.320000-5 5.694726+5 1.370000-5 5.448563+5 1.420000-5 5.255625+5 1.470000-5 5.108166+5 1.515000-5 5.009529+5 1.570000-5 4.926225+5 1.630000-5 4.875380+5 1.690000-5 4.860187+5 1.757924-5 4.879774+5 1.830000-5 4.938560+5 1.905461-5 5.036712+5 1.980000-5 5.166549+5 2.070000-5 5.362741+5 2.162719-5 5.604598+5 2.270000-5 5.929227+5 2.371374-5 6.275473+5 2.511886-5 6.812661+5 2.691535-5 7.583197+5 2.917427-5 8.658997+5 3.467369-5 1.159364+6 3.758374-5 1.320147+6 4.027170-5 1.466282+6 4.315191-5 1.616990+6 4.623810-5 1.769916+6 4.954502-5 1.924088+6 5.308844-5 2.078378+6 5.754399-5 2.257874+6 6.237348-5 2.436031+6 6.760830-5 2.607672+6 7.244360-5 2.745767+6 7.673615-5 2.848906+6 8.222426-5 2.955614+6 8.709636-5 3.027381+6 9.332543-5 3.091883+6 1.000000-4 3.136091+6 1.096478-4 3.166094+6 1.174898-4 3.168978+6 1.273503-4 3.151687+6 1.364583-4 3.113566+6 1.462177-4 3.055866+6 1.584893-4 2.961676+6 1.698244-4 2.862512+6 1.819701-4 2.750655+6 1.950000-4 2.624177+6 2.065380-4 2.510149+6 2.220000-4 2.354737+6 2.371374-4 2.203441+6 2.511886-4 2.068707+6 2.691535-4 1.904141+6 2.851018-4 1.766235+6 3.040000-4 1.613832+6 3.273407-4 1.440853+6 3.507519-4 1.285679+6 3.758374-4 1.138203+6 4.027170-4 9.998653+5 4.315191-4 8.716177+5 4.628000-4 7.527976+5 4.954502-4 6.480919+5 5.308844-4 5.529947+5 5.688529-4 4.687917+5 6.165950-4 3.836661+5 6.683439-4 3.115717+5 7.244360-4 2.511377+5 7.852356-4 2.009929+5 8.511380-4 1.597825+5 9.332543-4 1.219980+5 1.023293-3 9.244287+4 1.122018-3 6.952173+4 1.230269-3 5.191205+4 1.348963-3 3.850135+4 1.496236-3 2.729886+4 1.659587-3 1.921689+4 1.840772-3 1.342796+4 2.041738-3 9.316272+3 2.264644-3 6.419727+3 2.511886-3 4.394406+3 2.818383-3 2.862306+3 3.162278-3 1.850218+3 3.548134-3 1.187224+3 4.000000-3 7.423206+2 4.518559-3 4.569644+2 4.954502-3 3.149650+2 5.559043-3 1.962512+2 6.456542-3 1.051843+2 7.244360-3 6.466900+1 8.128305-3 3.948564+1 9.015711-3 2.516494+1 1.023293-2 1.439829+1 1.174898-2 7.778194+0 1.364583-2 3.961401+0 1.584893-2 2.002635+0 1.862087-2 9.532549-1 2.187762-2 4.502877-1 2.600160-2 2.000544-1 3.090295-2 8.823764-2 3.845918-2 3.096022-2 6.606934-2 2.289042-3 8.222426-2 8.039248-4 9.772372-2 3.542500-4 1.148154-1 1.659544-4 1.318257-1 8.726436-5 1.500000-1 4.820500-5 1.698244-1 2.747544-5 1.905461-1 1.643221-5 2.137962-1 9.901206-6 2.371374-1 6.319724-6 2.630268-1 4.063128-6 2.917427-1 2.632901-6 3.235937-1 1.719529-6 3.548134-1 1.185591-6 3.890451-1 8.232078-7 4.265795-1 5.758495-7 4.623810-1 4.239974-7 5.011872-1 3.142654-7 5.432503-1 2.350120-7 5.888437-1 1.769997-7 6.382635-1 1.342048-7 6.998420-1 9.856702-8 7.762471-1 7.026424-8 8.609938-1 5.046477-8 9.015711-1 4.379826-8 9.332543-1 3.955880-8 9.660509-1 3.590603-8 1.000000+0 3.278400-8 1.035142+0 3.012990-8 1.071519+0 2.783505-8 1.122018+0 2.522428-8 1.174898+0 2.301817-8 1.244515+0 2.069084-8 1.333521+0 1.833160-8 1.513561+0 1.485749-8 1.883649+0 1.012826-8 2.089296+0 8.507365-9 2.371374+0 6.925503-9 2.722701+0 5.575105-9 3.126079+0 4.521151-9 3.630781+0 3.630864-9 4.216965+0 2.937652-9 5.000000+0 2.327100-9 5.956621+0 1.845454-9 7.079458+0 1.478868-9 8.511380+0 1.176531-9 1.059254+1 9.03912-10 1.318257+1 6.99829-10 1.678804+1 5.31371-10 2.213095+1 3.90950-10 3.054921+1 2.75681-10 4.415704+1 1.86554-10 6.998420+1 1.15489-10 1.202264+2 6.62994-11 2.398833+2 3.29136-11 4.786301+2 1.64160-11 1.905461+3 4.10872-12 1.000000+5 7.81840-14 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 1.103000-5 1.103000-5 1.000000+5 1.103000-5 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.103000-5 0.0 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 9.740000-6 1.150202+6 9.940000-6 1.095729+6 1.023293-5 1.029967+6 1.060000-5 9.610564+5 1.100000-5 9.001347+5 1.135011-5 8.567025+5 1.180000-5 8.112296+5 1.216186-5 7.819071+5 1.258925-5 7.541815+5 1.310000-5 7.290770+5 1.350000-5 7.144955+5 1.400000-5 7.016099+5 1.445440-5 6.943563+5 1.500000-5 6.904343+5 1.554900-5 6.910600+5 1.610000-5 6.956700+5 1.678804-5 7.062892+5 1.750000-5 7.222249+5 1.830000-5 7.453530+5 1.920000-5 7.771250+5 2.018366-5 8.180000+5 2.113489-5 8.629436+5 2.238721-5 9.291726+5 2.371374-5 1.007005+6 2.570396-5 1.136338+6 3.311311-5 1.694858+6 3.589219-5 1.912576+6 3.890451-5 2.141691+6 4.168694-5 2.343251+6 4.466836-5 2.545296+6 4.841724-5 2.781228+6 5.248075-5 3.014644+6 5.754399-5 3.278577+6 6.237348-5 3.503559+6 6.760830-5 3.717631+6 7.244360-5 3.884486+6 7.800000-5 4.037651+6 8.317638-5 4.145056+6 8.912509-5 4.229330+6 9.500000-5 4.282363+6 1.040000-4 4.318049+6 1.122018-4 4.318159+6 1.220000-4 4.290623+6 1.330000-4 4.222310+6 1.412538-4 4.149893+6 1.531087-4 4.022409+6 1.659587-4 3.862299+6 1.760000-4 3.731103+6 1.905461-4 3.535541+6 2.041738-4 3.346746+6 2.162719-4 3.179224+6 2.317395-4 2.967469+6 2.500000-4 2.726501+6 2.660725-4 2.526743+6 2.818383-4 2.343268+6 3.019952-4 2.123338+6 3.232200-4 1.912624+6 3.427678-4 1.736370+6 3.672823-4 1.538379+6 3.935501-4 1.352458+6 4.216965-4 1.180031+6 4.518559-4 1.022073+6 4.841724-4 8.790054+5 5.188000-4 7.507157+5 5.559043-4 6.369123+5 6.025596-4 5.216945+5 6.531306-4 4.240464+5 7.079458-4 3.420272+5 7.673615-4 2.739302+5 8.317638-4 2.179928+5 9.015711-4 1.723391+5 9.772372-4 1.353699+5 1.059254-3 1.055598+5 1.174898-3 7.602502+4 1.396368-3 4.349183+4 1.548817-3 3.089497+4 1.678804-3 2.353135+4 1.840772-3 1.705595+4 2.018366-3 1.227542+4 2.238721-3 8.418774+3 2.570396-3 5.065085+3 2.884032-3 3.292110+3 3.198895-3 2.218224+3 3.467369-3 1.622193+3 3.845918-3 1.077331+3 4.315191-3 6.786773+2 4.897788-3 4.054084+2 5.559043-3 2.403414+2 6.309573-3 1.413937+2 7.161434-3 8.256999+1 8.128305-3 4.785082+1 9.015711-3 3.043611+1 1.023293-2 1.737331+1 1.161449-2 9.846184+0 1.348963-2 4.992906+0 1.566751-2 2.512768+0 1.819701-2 1.255272+0 2.137962-2 5.899821-1 2.540973-2 2.606561-1 3.019952-2 1.143000-1 3.672823-2 4.443356-2 7.079458-2 1.825406-3 8.609938-2 7.087291-4 1.011580-1 3.273115-4 1.174898-1 1.608561-4 1.333521-1 8.872002-5 1.496236-1 5.200151-5 1.659587-1 3.235785-5 1.840772-1 2.027270-5 2.041738-1 1.279489-5 2.264644-1 8.139408-6 2.483133-1 5.483455-6 2.691535-1 3.905534-6 2.917427-1 2.800249-6 3.162278-1 2.021170-6 3.467369-1 1.403496-6 3.758374-1 1.026876-6 4.073803-1 7.569165-7 4.365158-1 5.865791-7 4.677351-1 4.576371-7 5.011872-1 3.592896-7 5.370318-1 2.839411-7 5.754399-1 2.259246-7 6.165950-1 1.808786-7 6.683439-1 1.405932-7 7.413102-1 1.027078-7 7.943282-1 8.384626-8 8.511380-1 6.892004-8 9.225714-1 5.524423-8 9.660509-1 4.898333-8 1.000000+0 4.496500-8 1.047129+0 4.039884-8 1.096478+0 3.656522-8 1.148154+0 3.330358-8 1.216186+0 2.984455-8 1.318257+0 2.580697-8 1.513561+0 2.037481-8 1.819701+0 1.473833-8 2.018366+0 1.235635-8 2.317395+0 9.857606-9 2.660725+0 7.924942-9 3.054921+0 6.418292-9 3.548134+0 5.148289-9 4.120975+0 4.160720-9 4.841724+0 3.333283-9 5.754399+0 2.648087-9 6.839116+0 2.119040-9 8.222427+0 1.683450-9 1.023293+1 1.291784-9 1.273503+1 9.98939-10 1.621810+1 7.57704-10 2.137962+1 5.56937-10 2.951209+1 3.92408-10 4.168694+1 2.71831-10 6.531306+1 1.70133-10 1.109175+2 9.87225-11 2.213095+2 4.89735-11 4.415704+2 2.44134-11 3.507519+3 3.05891-12 1.000000+5 1.07230-13 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 9.740000-6 9.740000-6 1.000000+5 9.740000-6 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 9.740000-6 0.0 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 5.830000-5 5.505280+4 5.920000-5 5.350740+4 6.030000-5 5.201500+4 6.150000-5 5.087960+4 6.260000-5 5.022580+4 6.400000-5 4.985240+4 6.531306-5 4.987849+4 6.683439-5 5.029494+4 6.850000-5 5.112720+4 7.070000-5 5.265760+4 7.328245-5 5.485347+4 8.222426-5 6.338224+4 8.650000-5 6.711120+4 9.015711-5 6.987571+4 9.400000-5 7.230440+4 9.800000-5 7.429800+4 1.023293-4 7.587228+4 1.071519-4 7.699901+4 1.122018-4 7.759760+4 1.174898-4 7.772799+4 1.244515-4 7.732886+4 1.318257-4 7.640943+4 1.412538-4 7.474715+4 1.513561-4 7.256582+4 1.621810-4 6.991344+4 1.737801-4 6.685314+4 1.862087-4 6.349616+4 2.018366-4 5.937900+4 2.220000-4 5.445420+4 2.454709-4 4.933377+4 2.710800-4 4.440709+4 3.054921-4 3.878637+4 3.500000-4 3.299000+4 3.981072-4 2.808361+4 4.700000-4 2.261860+4 5.432503-4 1.859205+4 6.500000-4 1.446978+4 7.852356-4 1.101157+4 9.332543-4 8.516726+3 1.109175-3 6.542820+3 1.333521-3 4.901203+3 1.603245-3 3.642521+3 1.905461-3 2.737686+3 2.294000-3 1.998596+3 2.754229-3 1.454661+3 3.311311-3 1.048462+3 3.935501-3 7.660535+2 4.786301-3 5.327619+2 5.821032-3 3.677587+2 7.161434-3 2.464775+2 8.709636-3 1.676495+2 1.071519-2 1.105944+2 1.288250-2 7.587684+1 1.531087-2 5.293530+1 1.840772-2 3.577037+1 2.290868-2 2.228077+1 2.754229-2 1.484568+1 3.162278-2 1.088033+1 3.715352-2 7.512141+0 4.415704-2 5.011558+0 5.248075-2 3.317380+0 6.237348-2 2.179682+0 7.498942-2 1.382089+0 8.810489-2 9.214900-1 1.096478-1 5.270997-1 1.428894-1 2.657090-1 2.454709-1 6.456198-2 3.019952-1 3.779419-2 3.589219-1 2.435165-2 4.120975-1 1.724515-2 4.731513-1 1.230308-2 5.370318-1 9.092343-3 6.025596-1 6.952306-3 6.760830-1 5.353905-3 7.585776-1 4.151769-3 8.609938-1 3.163086-3 9.549926-1 2.550456-3 1.071519+0 2.025711-3 1.216186+0 1.582492-3 1.364583+0 1.272950-3 1.531087+0 1.030877-3 1.737801+0 8.238859-4 1.972423+0 6.636324-4 2.238721+0 5.385268-4 2.570396+0 4.321272-4 2.951209+0 3.493899-4 3.427678+0 2.797475-4 4.000000+0 2.242000-4 4.677351+0 1.805288-4 5.559043+0 1.432105-4 6.606934+0 1.144375-4 7.943282+0 9.078394-5 9.772372+0 7.053783-5 1.216186+1 5.446129-5 1.566751+1 4.071368-5 2.089296+1 2.952041-5 2.884032+1 2.078767-5 4.027170+1 1.456855-5 6.237348+1 9.221662-6 1.035142+2 5.474857-6 2.065380+2 2.713936-6 4.120975+2 1.352213-6 3.273407+3 1.693926-7 1.000000+5 5.541600-9 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 5.830000-5 5.830000-5 1.000000+5 5.830000-5 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 5.830000-5 0.0 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 3.558000-5 9.993840+6 3.590000-5 9.401580+6 3.635000-5 8.692400+6 3.680000-5 8.082420+6 3.740000-5 7.390660+6 3.801894-5 6.788863+6 3.890451-5 6.070570+6 3.981072-5 5.465813+6 4.110000-5 4.767360+6 4.265795-5 4.095643+6 4.500000-5 3.321300+6 6.606934-5 7.645579+5 7.328245-5 5.174837+5 8.000000-5 3.746280+5 8.709636-5 2.759849+5 9.332543-5 2.167165+5 9.900000-5 1.773808+5 1.047129-4 1.476039+5 1.106700-4 1.240446+5 1.161449-4 1.073127+5 1.220000-4 9.325140+4 1.280000-4 8.190780+4 1.333521-4 7.376428+4 1.400000-4 6.560820+4 1.462177-4 5.948221+4 1.531087-4 5.398429+4 1.603245-4 4.934468+4 1.678804-4 4.541958+4 1.760000-4 4.200460+4 1.850000-4 3.894580+4 1.950000-4 3.620660+4 2.080000-4 3.337960+4 2.238721-4 3.068351+4 2.426610-4 2.820133+4 2.691535-4 2.552552+4 4.000000-4 1.793692+4 4.731513-4 1.533642+4 5.432503-4 1.337850+4 6.237348-4 1.158096+4 7.000000-4 1.019932+4 7.943282-4 8.813623+3 9.000000-4 7.573840+3 1.023293-3 6.433425+3 1.161449-3 5.432176+3 1.318257-3 4.553446+3 1.500000-3 3.774100+3 1.698244-3 3.126262+3 1.883649-3 2.655209+3 2.137962-3 2.158343+3 2.426610-3 1.741313+3 2.754229-3 1.394434+3 3.126079-3 1.108348+3 3.548134-3 8.744452+2 4.027170-3 6.849196+2 4.570882-3 5.327029+2 5.188000-3 4.113988+2 5.888437-3 3.154969+2 6.683439-3 2.403266+2 7.585776-3 1.817807+2 8.609938-3 1.365065+2 9.772372-3 1.017469+2 1.109175-2 7.530386+1 1.273503-2 5.383117+1 1.479108-2 3.714534+1 1.717908-2 2.551525+1 1.949845-2 1.844862+1 2.162719-2 1.405020+1 2.454709-2 9.996002+0 2.818383-2 6.841327+0 3.349654-2 4.221071+0 3.935501-2 2.668208+0 4.677351-2 1.619133+0 5.495409-2 1.008584+0 6.760830-2 5.442319-1 8.709636-2 2.538069-1 1.640590-1 3.712286-2 2.018366-1 1.992241-2 2.398833-1 1.193602-2 2.786121-1 7.708152-3 3.198895-1 5.183103-3 3.630781-1 3.626428-3 4.120975-1 2.555513-3 4.623810-1 1.871945-3 5.128614-1 1.423667-3 5.688529-1 1.089920-3 6.382635-1 8.161358-4 7.079458-1 6.334822-4 7.852356-1 4.952057-4 8.709636-1 3.889007-4 9.332543-1 3.330310-4 1.000000+0 2.871500-4 1.096478+0 2.379979-4 1.202264+0 1.987073-4 1.318257+0 1.670530-4 1.479108+0 1.355461-4 1.717908+0 1.039224-4 1.949845+0 8.361323-5 2.213095+0 6.780535-5 2.540973+0 5.437345-5 2.917427+0 4.393575-5 3.388442+0 3.515614-5 3.935501+0 2.834798-5 4.623810+0 2.266157-5 5.495409+0 1.796762-5 6.531306+0 1.435139-5 7.852356+0 1.137934-5 9.660509+0 8.838060-6 1.202264+1 6.820976-6 1.548817+1 5.097175-6 2.065380+1 3.694563-6 2.851018+1 2.600867-6 3.981072+1 1.822293-6 6.165950+1 1.153274-6 1.023293+2 6.845558-7 2.041738+2 3.393051-7 4.073803+2 1.690455-7 3.235937+3 2.117526-8 1.000000+5 6.84800-10 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 3.558000-5 3.558000-5 1.000000+5 3.558000-5 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.558000-5 0.0 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.954000-5 2.333600+7 2.967000-5 2.257644+7 3.000000-5 2.092136+7 3.040000-5 1.920396+7 3.090295-5 1.738650+7 3.150000-5 1.560368+7 3.210000-5 1.411340+7 3.273407-5 1.278866+7 3.350000-5 1.144404+7 3.450000-5 1.000344+7 3.570000-5 8.615680+6 3.730000-5 7.167760+6 3.935501-5 5.763843+6 4.365158-5 3.820560+6 5.011872-5 2.224097+6 5.500000-5 1.554808+6 5.900000-5 1.194088+6 6.300000-5 9.398160+5 6.683439-5 7.630527+5 7.000000-5 6.518360+5 7.328245-5 5.607861+5 7.673615-5 4.850817+5 8.035261-5 4.224495+5 8.413951-5 3.706032+5 8.800000-5 3.286852+5 9.150000-5 2.980064+5 9.549926-5 2.694859+5 9.950000-5 2.463640+5 1.040000-4 2.252848+5 1.083927-4 2.085345+5 1.135011-4 1.926194+5 1.190000-4 1.786896+5 1.260000-4 1.644528+5 1.333521-4 1.525122+5 1.428894-4 1.401958+5 1.548817-4 1.281542+5 1.698244-4 1.165885+5 2.540973-4 7.922197+4 3.000000-4 6.709720+4 3.507519-4 5.693714+4 4.027170-4 4.886949+4 4.628000-4 4.159519+4 5.248075-4 3.572227+4 6.025596-4 3.000724+4 6.839116-4 2.540965+4 7.852356-4 2.103714+4 8.912509-4 1.757476+4 1.023293-3 1.434237+4 1.161449-3 1.182066+4 1.318257-3 9.675959+3 1.500000-3 7.833080+3 1.698244-3 6.349904+3 1.927525-3 5.090205+3 2.187762-3 4.051287+3 2.483133-3 3.201503+3 2.818383-3 2.512158+3 3.198895-3 1.957443+3 3.630781-3 1.514589+3 4.120975-3 1.163802+3 4.677351-3 8.880859+2 5.308844-3 6.729667+2 6.025596-3 5.064384+2 6.839116-3 3.785625+2 7.762471-3 2.810072+2 8.810489-3 2.071307+2 1.000000-2 1.515768+2 1.135011-2 1.101266+2 1.288250-2 7.944409+1 1.462177-2 5.690839+1 1.659587-2 4.048792+1 1.905461-2 2.771062+1 2.187762-2 1.881838+1 2.511886-2 1.268387+1 2.884032-2 8.487261+0 3.311311-2 5.639085+0 3.845918-2 3.594261+0 4.466836-2 2.273989+0 5.248075-2 1.378702+0 6.237348-2 8.005076-1 7.585776-2 4.285405-1 9.885531-2 1.823765-1 1.640590-1 3.534415-2 1.995262-1 1.886699-2 2.344229-1 1.132859-2 2.691535-1 7.367532-3 3.054921-1 5.001403-3 3.427678-1 3.541119-3 3.845918-1 2.525651-3 4.265795-1 1.876359-3 4.731513-1 1.404022-3 5.188000-1 1.092083-3 5.754399-1 8.295207-4 6.382635-1 6.351750-4 6.998420-1 5.044534-4 7.673615-1 4.032788-4 8.609938-1 3.068801-4 9.225714-1 2.620777-4 9.885531-1 2.254246-4 1.071519+0 1.908589-4 1.174898+0 1.590071-4 1.288250+0 1.334642-4 1.428894+0 1.104558-4 1.698244+0 8.125113-5 1.927525+0 6.532174-5 2.187762+0 5.293480-5 2.511886+0 4.242050-5 2.884032+0 3.425615-5 3.311311+0 2.786111-5 3.845918+0 2.244017-5 4.518559+0 1.791945-5 5.370318+0 1.419352-5 6.382635+0 1.132503-5 7.673615+0 8.971634-6 9.440609+0 6.961971-6 1.174898+1 5.368657-6 1.513561+1 4.008777-6 2.000000+1 2.933200-6 2.691535+1 2.120360-6 3.758374+1 1.483827-6 5.754399+1 9.493248-7 9.440609+1 5.695977-7 1.819701+2 2.920902-7 3.630781+2 1.454185-7 1.445440+3 3.635913-8 1.000000+5 5.24680-10 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.954000-5 2.954000-5 1.000000+5 2.954000-5 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.954000-5 0.0 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.550000-6 4.669757+6 6.309573-6 2.728356+6 7.000000-6 1.752446+6 7.762471-6 1.118744+6 8.511380-6 7.450219+5 9.440609-6 4.678240+5 1.047129-5 2.915109+5 1.270000-5 1.199736+5 1.350000-5 9.107500+4 1.420000-5 7.296880+4 1.480000-5 6.125320+4 1.531087-5 5.336542+4 1.584893-5 4.667836+4 1.630000-5 4.211040+4 1.678804-5 3.802731+4 1.730000-5 3.452900+4 1.778279-5 3.183243+4 1.830000-5 2.947380+4 1.870000-5 2.796260+4 1.920700-5 2.637307+4 1.972423-5 2.506484+4 2.020000-5 2.409220+4 2.070000-5 2.326760+4 2.130000-5 2.249780+4 2.190400-5 2.191832+4 2.250000-5 2.149980+4 2.330000-5 2.112400+4 2.420000-5 2.089120+4 2.511886-5 2.079994+4 2.630268-5 2.082573+4 2.818383-5 2.104783+4 3.427678-5 2.201247+4 3.715352-5 2.227271+4 4.000000-5 2.234840+4 4.315191-5 2.224658+4 4.623810-5 2.199701+4 4.954502-5 2.158858+4 5.308844-5 2.102793+4 5.688529-5 2.033329+4 6.095369-5 1.953816+4 6.531306-5 1.865595+4 7.079458-5 1.754851+4 7.800000-5 1.617024+4 8.609938-5 1.476293+4 9.800000-5 1.298748+4 1.122018-4 1.127269+4 1.364583-4 9.112804+3 1.737801-4 6.967707+3 2.000000-4 5.920500+3 2.238721-4 5.137903+3 2.540973-4 4.346197+3 3.054921-4 3.373705+3 3.981072-4 2.327930+3 4.897788-4 1.737895+3 5.821032-4 1.348768+3 8.000000-4 8.402220+2 9.660509-4 6.281929+2 1.216186-3 4.371141+2 1.479108-3 3.189611+2 1.717908-3 2.492269+2 2.454709-3 1.353133+2 3.000000-3 9.532606+1 3.630781-3 6.761125+1 4.415704-3 4.715790+1 5.559043-3 3.058616+1 6.760830-3 2.101493+1 8.222426-3 1.433285+1 1.000000-2 9.701891+0 1.202264-2 6.673638+0 1.445440-2 4.557094+0 1.737801-2 3.087831+0 2.089296-2 2.075840+0 2.483133-2 1.420166+0 2.951209-2 9.645540-1 3.507519-2 6.501139-1 4.168694-2 4.348849-1 4.954502-2 2.887317-1 5.888437-2 1.901683-1 7.079458-2 1.208687-1 8.413951-2 7.846652-2 1.035142-1 4.630888-2 1.333521-1 2.409569-2 1.640590-1 1.403876-2 2.426610-1 5.043466-3 3.000000-1 2.915300-3 3.548134-1 1.901701-3 4.120975-1 1.308667-3 4.731513-1 9.340171-4 5.370318-1 6.906440-4 6.025596-1 5.284566-4 6.760830-1 4.073332-4 7.585776-1 3.162637-4 8.511380-1 2.473859-4 9.440609-1 1.996909-4 1.059254+0 1.586745-4 1.216186+0 1.211986-4 1.364583+0 9.745984-5 1.531087+0 7.889309-5 1.717908+0 6.432660-5 1.949845+0 5.178118-5 2.213095+0 4.199308-5 2.540973+0 3.367413-5 2.917427+0 2.720987-5 3.388442+0 2.177324-5 3.935501+0 1.755721-5 4.623810+0 1.403493-5 5.495409+0 1.112805-5 6.531306+0 8.888065-6 7.852356+0 7.047667-6 9.660509+0 5.473617-6 1.202264+1 4.224395-6 1.548817+1 3.156828-6 2.065380+1 2.288175-6 2.818383+1 1.630952-6 3.890451+1 1.156398-6 6.000000+1 7.347500-7 1.000000+2 4.340700-7 1.949845+2 2.201638-7 3.890451+2 1.096597-7 1.548817+3 2.742642-8 1.000000+5 4.24120-10 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.550000-6 5.550000-6 1.000000+5 5.550000-6 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.550000-6 0.0 1.000000+5 1.000000+5 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.780770-7 1.026600+0 1.205160-6 1.027100+0 1.639650-6 1.027500+0 2.053640-6 1.028100+0 2.796000-6 1.028750+0 3.780770-6 1.029500+0 5.174080-6 1.030100+0 6.507040-6 1.031000+0 8.903850-6 1.032000+0 1.218270-5 1.033200+0 1.706590-5 1.034000+0 2.095000-5 1.035300+0 2.843660-5 1.036640+0 3.780770-5 1.038200+0 5.102270-5 1.039700+0 6.628870-5 1.041500+0 8.819630-5 1.043800+0 1.224190-4 1.046400+0 1.703240-4 1.048300+0 2.120570-4 1.051200+0 2.876510-4 1.054080+0 3.780770-4 1.057700+0 5.153440-4 1.061100+0 6.703360-4 1.065100+0 8.874540-4 1.070400+0 1.238100-3 1.076200+0 1.711050-3 1.080600+0 2.136830-3 1.087100+0 2.879000-3 1.093710+0 3.780770-3 1.102600+0 5.241770-3 1.110700+0 6.835940-3 1.120600+0 9.143790-3 1.133300+0 1.271280-2 1.147500+0 1.755150-2 1.158200+0 2.181200-2 1.174100+0 2.915470-2 1.190110+0 3.780770-2 1.205100+0 4.707670-2 1.227500+0 6.302360-2 1.250000+0 8.140000-2 1.265600+0 9.536440-2 1.294900+0 1.239830-1 1.331800+0 1.637530-1 1.362600+0 1.994960-1 1.397000+0 2.415580-1 1.433800+0 2.886110-1 1.500000+0 3.780000-1 1.562500+0 4.682160-1 1.617200+0 5.513840-1 1.712900+0 7.044600-1 1.838500+0 9.155100-1 1.946200+0 1.100620+0 2.000000+0 1.193000+0 2.044000+0 1.268000+0 2.163500+0 1.470150+0 2.372600+0 1.817100+0 2.647100+0 2.255530+0 3.000000+0 2.789000+0 3.500000+0 3.489840+0 4.000000+0 4.133000+0 4.750000+0 5.002330+0 5.000000+0 5.270000+0 6.000000+0 6.248000+0 7.000000+0 7.112000+0 8.000000+0 7.887000+0 9.000000+0 8.592000+0 1.000000+1 9.239000+0 1.100000+1 9.837000+0 1.200000+1 1.039000+1 1.300000+1 1.091000+1 1.400000+1 1.140000+1 1.500000+1 1.184000+1 1.600000+1 1.226000+1 1.800000+1 1.302000+1 2.000000+1 1.369000+1 2.200000+1 1.430000+1 2.400000+1 1.486000+1 2.600000+1 1.536000+1 2.800000+1 1.583000+1 3.000000+1 1.626000+1 4.000000+1 1.801000+1 5.000000+1 1.931000+1 6.000000+1 2.032000+1 8.000000+1 2.181000+1 1.000000+2 2.286000+1 1.500000+2 2.452000+1 2.000000+2 2.550000+1 3.000000+2 2.665000+1 4.000000+2 2.730000+1 5.000000+2 2.773000+1 6.000000+2 2.804000+1 8.000000+2 2.845000+1 1.000000+3 2.871000+1 1.500000+3 2.909000+1 2.000000+3 2.930000+1 3.000000+3 2.952000+1 4.000000+3 2.964000+1 5.000000+3 2.972000+1 6.000000+3 2.977000+1 8.000000+3 2.984000+1 1.000000+4 2.988000+1 1.500000+4 2.995000+1 2.000000+4 2.998000+1 3.000000+4 3.001000+1 4.000000+4 3.003000+1 5.000000+4 3.004000+1 6.000000+4 3.005000+1 8.000000+4 3.006000+1 1.000000+5 3.006000+1 1 69000 7 8 1.689340+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 6.911400-7 2.094700+0 1.216770-6 2.099900+0 1.618750-6 2.106600+0 2.251810-6 2.114000+0 3.115660-6 2.119500+0 3.878980-6 2.127900+0 5.260630-6 2.136250+0 6.911400-6 2.147000+0 9.476020-6 2.156900+0 1.230820-5 2.169000+0 1.642610-5 2.184500+0 2.283280-5 2.201800+0 3.158980-5 2.214800+0 3.935850-5 2.234200+0 5.294410-5 2.253680+0 6.911400-5 2.281500+0 9.680630-5 2.307000+0 1.271550-4 2.338200+0 1.709700-4 2.377400+0 2.367730-4 2.410200+0 3.011350-4 2.446800+0 3.830610-4 2.485900+0 4.822950-4 2.532900+0 6.172360-4 2.556430+0 6.911400-4 2.611900+0 8.812870-4 2.660400+0 1.065440-3 2.745300+0 1.426030-3 2.809000+0 1.727020-3 2.904500+0 2.224830-3 3.000000+0 2.777000-3 3.125000+0 3.580580-3 3.234400+0 4.356380-3 3.425800+0 5.865350-3 3.569300+0 7.111260-3 3.784700+0 9.139660-3 4.000000+0 1.132000-2 4.250000+0 1.398580-2 4.625000+0 1.817560-2 5.000000+0 2.253000-2 5.500000+0 2.850240-2 6.000000+0 3.455000-2 6.750000+0 4.354260-2 7.000000+0 4.650000-2 8.000000+0 5.806000-2 9.000000+0 6.910000-2 1.000000+1 7.958000-2 1.100000+1 8.948000-2 1.200000+1 9.881000-2 1.300000+1 1.076000-1 1.400000+1 1.159000-1 1.500000+1 1.238000-1 1.600000+1 1.313000-1 1.800000+1 1.451000-1 2.000000+1 1.577000-1 2.200000+1 1.692000-1 2.400000+1 1.797000-1 2.600000+1 1.894000-1 2.800000+1 1.984000-1 3.000000+1 2.067000-1 4.000000+1 2.411000-1 5.000000+1 2.670000-1 6.000000+1 2.874000-1 8.000000+1 3.179000-1 1.000000+2 3.399000-1 1.500000+2 3.761000-1 2.000000+2 3.986000-1 3.000000+2 4.259000-1 4.000000+2 4.421000-1 5.000000+2 4.532000-1 6.000000+2 4.613000-1 8.000000+2 4.725000-1 1.000000+3 4.799000-1 1.500000+3 4.909000-1 2.000000+3 4.971000-1 3.000000+3 5.040000-1 4.000000+3 5.080000-1 5.000000+3 5.105000-1 6.000000+3 5.122000-1 8.000000+3 5.145000-1 1.000000+4 5.159000-1 1.500000+4 5.179000-1 2.000000+4 5.191000-1 3.000000+4 5.202000-1 4.000000+4 5.209000-1 5.000000+4 5.213000-1 6.000000+4 5.216000-1 8.000000+4 5.218000-1 1.000000+5 5.221000-1 1 69000 7 8 1.689340+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 69000 7 9 1.689340+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 6.900000+1 1.000000+5 6.900000+1 5.000000+5 6.896700+1 1.000000+6 6.892200+1 1.375000+6 6.887990+1 1.500000+6 6.886000+1 1.875000+6 6.878360+1 2.000000+6 6.875400+1 2.375000+6 6.865580+1 2.500000+6 6.862000+1 2.875000+6 6.850270+1 3.000000+6 6.846000+1 3.437500+6 6.829510+1 3.812500+6 6.814370+1 4.000000+6 6.807100+1 4.437500+6 6.788300+1 4.812500+6 6.770870+1 5.000000+6 6.762400+1 5.500000+6 6.736630+1 5.875000+6 6.716140+1 6.437500+6 6.684260+1 6.500000+6 6.680490+1 7.000000+6 6.651600+1 7.500000+6 6.621750+1 8.250000+6 6.577130+1 9.000000+6 6.531300+1 1.000000+7 6.468600+1 1.250000+7 6.311500+1 1.500000+7 6.148700+1 1.750000+7 5.985100+1 2.000000+7 5.816100+1 2.250000+7 5.642050+1 2.500000+7 5.466800+1 2.875000+7 5.206760+1 3.000000+7 5.122100+1 3.437500+7 4.832730+1 3.500000+7 4.792990+1 3.812500+7 4.599240+1 4.000000+7 4.488600+1 4.500000+7 4.210580+1 5.000000+7 3.955900+1 5.500000+7 3.721200+1 5.750000+7 3.610110+1 6.000000+7 3.503300+1 6.500000+7 3.300050+1 7.000000+7 3.110700+1 7.750000+7 2.851690+1 8.000000+7 2.772200+1 9.000000+7 2.486800+1 1.000000+8 2.251300+1 1.125000+8 2.017240+1 1.187500+8 1.921150+1 1.250000+8 1.837200+1 1.375000+8 1.698830+1 1.437500+8 1.640870+1 1.500000+8 1.588300+1 1.625000+8 1.495060+1 1.671900+8 1.462320+1 1.789100+8 1.382130+1 1.812500+8 1.366120+1 1.894500+8 1.309640+1 1.973600+8 1.254100+1 2.000000+8 1.235400+1 2.062500+8 1.190590+1 2.250000+8 1.063600+1 2.390600+8 9.838120+0 2.500000+8 9.331400+0 2.781300+8 8.335030+0 2.859400+8 8.059560+0 2.875000+8 8.002910+0 2.953100+8 7.704720+0 3.000000+8 7.513800+0 3.062500+8 7.246450+0 3.335900+8 6.150590+0 3.418000+8 5.898410+0 3.500000+8 5.696200+0 3.589800+8 5.532400+0 3.712900+8 5.377000+0 4.000000+8 5.097200+0 4.125000+8 4.957770+0 4.234400+8 4.823160+0 4.425800+8 4.575320+0 5.000000+8 3.899100+0 5.625000+8 3.372980+0 5.875000+8 3.176580+0 6.000000+8 3.076200+0 6.250000+8 2.871640+0 6.718800+8 2.533490+0 6.906300+8 2.426880+0 7.000000+8 2.380800+0 7.250000+8 2.279980+0 7.718800+8 2.125660+0 7.906300+8 2.061970+0 8.000000+8 2.028000+0 8.125000+8 1.979750+0 1.000000+9 1.322300+0 1.030800+9 1.263930+0 1.060100+9 1.220470+0 1.087600+9 1.187850+0 1.125800+9 1.152550+0 1.172600+9 1.120660+0 1.213500+9 1.099620+0 1.392600+9 1.032080+0 1.446300+9 1.009480+0 1.500000+9 9.830000-1 1.560500+9 9.478560-1 1.615500+9 9.126310-1 1.686000+9 8.649780-1 1.764500+9 8.110420-1 1.823400+9 7.711810-1 1.911700+9 7.138240-1 2.000000+9 6.604300-1 2.139200+9 5.852120-1 2.272600+9 5.224360-1 2.443000+9 4.535340-1 2.602800+9 3.986410-1 2.825100+9 3.350560-1 2.961100+9 3.022410-1 3.215900+9 2.507140-1 3.438900+9 2.142590-1 3.500000+9 2.054210-1 3.719500+9 1.771960-1 3.954200+9 1.521350-1 4.327700+9 1.206680-1 4.663900+9 9.899320-2 5.000000+9 8.195700-2 5.539100+9 6.158890-2 5.990200+9 4.924550-2 6.708000+9 3.541340-2 8.000000+9 2.099800-2 1.00000+10 1.076900-2 1.27030+10 5.277520-3 1.55700+10 2.886970-3 2.15420+10 1.109960-3 2.64460+10 6.091190-4 3.56400+10 2.557290-4 5.07250+10 9.227870-5 6.83230+10 3.926600-5 1.00000+11 1.325600-5 1.34280+11 5.750440-6 2.20600+11 1.421330-6 4.19930+11 2.356670-7 1.03480+12 1.949480-8 3.24440+12 8.57034-10 1.00000+14 8.05400-14 2.05350+15 2.18161-17 1.00000+17 5.27270-22 1 69000 7 0 1.689340+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 9.80000-12 1.000000+2 9.80000-10 1.000000+3 9.800000-8 1.000000+4 9.800000-6 1.000000+5 9.800000-4 5.000000+5 2.450000-2 1.000000+6 9.800000-2 1.375000+6 1.830690-1 1.500000+6 2.169000-1 1.875000+6 3.336390-1 2.000000+6 3.774000-1 2.375000+6 5.218390-1 2.500000+6 5.741000-1 2.875000+6 7.415660-1 3.000000+6 8.007000-1 3.437500+6 1.018330+0 3.812500+6 1.215820+0 4.000000+6 1.317600+0 4.437500+6 1.560240+0 4.812500+6 1.772140+0 5.000000+6 1.879000+0 5.500000+6 2.163830+0 5.875000+6 2.376690+0 6.437500+6 2.692610+0 6.500000+6 2.727290+0 7.000000+6 3.002500+0 7.500000+6 3.271610+0 8.250000+6 3.665800+0 9.000000+6 4.050700+0 1.000000+7 4.555000+0 1.250000+7 5.819200+0 1.500000+7 7.122000+0 1.750000+7 8.445000+0 2.000000+7 9.751000+0 2.250000+7 1.101860+1 2.500000+7 1.224500+1 2.875000+7 1.401020+1 3.000000+7 1.458100+1 3.437500+7 1.650660+1 3.500000+7 1.677190+1 3.812500+7 1.806390+1 4.000000+7 1.880900+1 4.500000+7 2.068260+1 5.000000+7 2.241200+1 5.500000+7 2.401900+1 5.750000+7 2.478570+1 6.000000+7 2.553200+1 6.500000+7 2.697080+1 7.000000+7 2.835200+1 7.750000+7 3.031950+1 8.000000+7 3.095400+1 9.000000+7 3.336900+1 1.000000+8 3.562000+1 1.125000+8 3.823390+1 1.187500+8 3.945970+1 1.250000+8 4.063700+1 1.375000+8 4.283100+1 1.437500+8 4.384480+1 1.500000+8 4.480800+1 1.625000+8 4.656360+1 1.671900+8 4.716980+1 1.789100+8 4.857540+1 1.812500+8 4.884020+1 1.894500+8 4.971350+1 1.973600+8 5.049900+1 2.000000+8 5.075200+1 2.062500+8 5.131500+1 2.250000+8 5.284800+1 2.390600+8 5.384810+1 2.500000+8 5.456500+1 2.781300+8 5.617170+1 2.859400+8 5.657540+1 2.875000+8 5.665150+1 2.953100+8 5.702770+1 3.000000+8 5.725000+1 3.062500+8 5.753060+1 3.335900+8 5.866560+1 3.418000+8 5.897490+1 3.500000+8 5.927800+1 3.589800+8 5.958760+1 3.712900+8 6.000220+1 4.000000+8 6.088700+1 4.125000+8 6.123640+1 4.234400+8 6.153520+1 4.425800+8 6.202350+1 5.000000+8 6.328800+1 5.625000+8 6.437300+1 5.875000+8 6.473740+1 6.000000+8 6.490500+1 6.250000+8 6.521330+1 6.718800+8 6.570450+1 6.906300+8 6.587590+1 7.000000+8 6.596000+1 7.250000+8 6.615410+1 7.718800+8 6.647440+1 7.906300+8 6.659010+1 8.000000+8 6.664700+1 8.125000+8 6.671190+1 1.000000+9 6.745700+1 1.030800+9 6.754210+1 1.060100+9 6.762080+1 1.087600+9 6.769280+1 1.125800+9 6.778970+1 1.172600+9 6.789040+1 1.213500+9 6.797530+1 1.392600+9 6.826750+1 1.446300+9 6.833750+1 1.500000+9 6.840500+1 1.560500+9 6.846480+1 1.615500+9 6.851720+1 1.686000+9 6.858180+1 1.764500+9 6.864060+1 1.823400+9 6.867760+1 1.911700+9 6.873100+1 2.000000+9 6.878200+1 2.139200+9 6.883790+1 2.272600+9 6.887860+1 2.443000+9 6.892040+1 2.602800+9 6.895130+1 2.825100+9 6.897970+1 2.961100+9 6.898840+1 3.215900+9 6.900120+1 3.438900+9 6.900870+1 3.500000+9 6.900820+1 3.719500+9 6.900670+1 3.954200+9 6.900510+1 4.327700+9 6.900270+1 4.663900+9 6.900080+1 5.000000+9 6.899900+1 5.539100+9 6.899920+1 5.990200+9 6.899940+1 6.708000+9 6.899960+1 8.000000+9 6.900000+1 1.00000+10 6.900000+1 1.27030+10 6.900000+1 1.55700+10 6.900000+1 2.15420+10 6.900000+1 2.64460+10 6.900000+1 3.56400+10 6.900000+1 5.07250+10 6.900000+1 6.83230+10 6.900000+1 1.00000+11 6.900000+1 1.34280+11 6.900000+1 2.20600+11 6.900000+1 4.19930+11 6.900000+1 1.03480+12 6.900000+1 3.24440+12 6.900000+1 1.00000+14 6.900000+1 2.05350+15 6.900000+1 1.00000+17 6.900000+1 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.291843-6 0.0 1.295023-6 2.809214-7 1.298202-6 5.558659-7 1.301382-6 1.015335-6 1.304562-6 1.711994-6 1.307741-6 2.664704-6 1.310921-6 3.828685-6 1.314101-6 5.078135-6 1.317281-6 6.217456-6 1.320460-6 7.027083-6 1.323640-6 7.331476-6 1.326820-6 7.060926-6 1.329999-6 6.277488-6 1.333179-6 5.151860-6 1.339539-6 2.729495-6 1.342718-6 1.762067-6 1.345898-6 1.050066-6 1.349078-6 5.776498-7 1.352257-6 2.933370-7 1.355437-6 0.0 2.334831-6 0.0 2.340578-6 5.800066-7 2.346325-6 1.147673-6 2.352072-6 2.096319-6 2.357819-6 3.534681-6 2.363566-6 5.501702-6 2.369312-6 7.904925-6 2.375059-6 1.048461-5 2.380806-6 1.283692-5 2.386553-6 1.450852-5 2.392300-6 1.513699-5 2.398047-6 1.457840-5 2.403794-6 1.296087-5 2.409541-6 1.063683-5 2.421034-6 5.635473-6 2.426781-6 3.638065-6 2.432528-6 2.168027-6 2.438275-6 1.192649-6 2.446895-6 3.031763-7 2.449769-6 0.0 2.461767-6 0.0 2.470856-6 3.052374+0 2.473885-6 4.056925+0 2.479945-6 7.410306+0 2.486004-6 1.249479+1 2.492821-6 2.050770+1 2.503330-6 3.577720+1 2.510999-6 4.611450+1 2.516857-6 5.148990+1 2.523002-6 5.329916+1 2.529203-6 5.079543+1 2.535723-6 4.413200+1 2.545945-6 2.946891+1 2.552657-6 1.992091+1 2.559095-6 1.253619+1 2.564775-6 7.663787+0 2.570835-6 4.215912+0 2.579545-6 1.205488+0 2.582953-6 0.0 2.604064-6 0.0 2.610474-6 1.432134-6 2.616883-6 2.833798-6 2.623293-6 5.176163-6 2.629703-6 8.727722-6 2.636112-6 1.358463-5 2.652014-6 2.867835-5 2.665069-6 8.294409+0 2.671597-6 1.515038+1 2.678532-6 2.643208+1 2.685224-6 4.130889+1 2.704643-6 9.352737+1 2.711819-6 1.055887+2 2.717762-6 1.091058+2 2.724417-6 1.042891+2 2.731518-6 9.065768+1 2.741794-6 6.283274+1 2.749928-6 4.072825+1 2.756456-6 2.629274+1 2.762983-6 1.566859+1 2.769511-6 8.619420+0 2.779302-6 2.191092+0 2.782566-6 0.0 3.492106-6 0.0 3.500702-6 4.09773-15 3.509297-6 8.10828-15 3.517892-6 1.48104-14 3.526488-6 2.49724-14 3.535083-6 3.88694-14 3.543678-6 5.58481-14 3.552274-6 7.40735-14 3.560869-6 9.06925-14 3.569465-6 1.02502-13 3.578060-6 1.06942-13 3.586655-6 1.02996-13 3.595251-6 9.15682-14 3.603846-6 7.51489-14 3.621037-6 3.98145-14 3.629632-6 2.57028-14 3.638228-6 1.53171-14 3.646823-6 8.42604-15 3.655418-6 4.27884-15 3.664014-6 0.0 4.075712-6 0.0 4.090759-6 9.741162-2 4.095775-6 1.294703-1 4.105807-6 2.364881-1 4.116466-6 4.125887-1 4.125871-6 6.206532-1 4.134115-6 8.508424-1 4.156929-6 2.067688+0 4.169227-6 2.860695+0 4.183423-6 3.942125+0 4.215122-6 6.399333+0 4.228491-6 6.868008+0 4.238669-6 6.769908+0 4.248290-6 6.287921+0 4.259940-6 5.256031+0 4.285219-6 2.550284+0 4.287730-6 2.305438+0 4.296619-6 1.557923+0 4.306794-6 9.284169-1 4.316969-6 5.107342-1 4.332880-6 1.132982-1 4.337319-6 8.479000-6 4.338619-6 7.644318-6 4.344141-6 5.302835-6 4.359500-6 1.348002-6 4.364619-6 0.0 4.649811-6 0.0 4.666978-6 2.186905-2 4.672701-6 2.906626-2 4.675089-6 3.406955-2 4.684146-6 1.066414-1 4.695590-6 2.096430-1 4.698103-6 2.351328-1 4.709610-6 3.990398-1 4.721117-6 6.300775-1 4.737149-6 1.056623+0 4.758786-6 1.681657+0 4.768674-6 1.910541+0 4.780213-6 2.065899+0 4.793194-6 2.054041+0 4.804924-6 1.888175+0 4.819238-6 1.531649+0 4.843542-6 8.236775-1 4.847696-6 7.091761-1 4.859203-6 4.528117-1 4.870710-6 2.651871-1 4.878709-6 1.749361-1 4.882217-6 1.399804-1 4.901097-6 2.557868-2 4.905231-6 1.732385-6 4.908478-6 1.113876-6 4.918677-6 0.0 4.920840-6 0.0 4.934074-6 6.220669-3 4.946219-6 4.127205-2 4.958363-6 7.957614-2 4.970508-6 1.418734-1 4.982652-6 2.338715-1 4.994797-6 3.564332-1 5.019086-6 6.540574-1 5.031231-6 7.873800-1 5.043375-6 8.760744-1 5.055520-6 9.008512-1 5.067665-6 8.560295-1 5.082791-6 7.254580-1 5.104098-6 4.984755-1 5.116243-6 3.891834-1 5.128388-6 3.210697-1 5.140595-6 2.996521-1 5.153094-6 3.200124-1 5.177430-6 4.137900-1 5.191868-6 4.820974-1 5.204584-6 5.122618-1 5.217301-6 5.139774-1 5.265585-6 4.334341-1 5.350822-6 4.206755-1 5.411283-6 4.042719-1 5.458423-6 3.808752-1 5.487681-6 3.612326-1 5.535510-6 3.568975-1 5.584103-6 3.620545-1 6.069018-6 2.791688-1 6.573774-6 2.156695-1 6.605172-6 2.123454-1 6.637858-6 1.115498+0 6.653945-6 1.849141+0 6.671219-6 3.070027+0 6.687428-6 4.628221+0 6.735742-6 1.029394+1 6.754156-6 1.164104+1 6.769488-6 1.200405+1 6.785632-6 1.148538+1 6.803447-6 9.987644+0 6.829226-6 6.947108+0 6.849632-6 4.545387+0 6.866007-6 2.986259+0 6.881555-6 1.883775+0 6.897812-6 1.118435+0 6.926530-6 2.928579-1 6.930328-6 1.815079-1 7.463459-6 1.418539-1 7.627792-6 1.318779-1 7.665928-6 8.544433-1 7.684703-6 1.446823+0 7.704064-6 2.379160+0 7.722699-6 3.597181+0 7.778861-6 8.073874+0 7.799407-6 9.108529+0 7.817263-6 9.408663+0 7.835488-6 9.033241+0 7.856463-6 7.841885+0 7.893920-6 4.830960+0 7.909414-6 3.601206+0 7.928189-6 2.393274+0 7.946964-6 1.518776+0 7.965739-6 9.657794-1 8.001017-6 4.177981-1 8.003288-6 3.840104-1 8.052515-6 6.367077-1 8.071953-6 7.043967-1 8.091390-6 7.293301-1 8.110827-6 7.055394-1 8.130265-6 6.382802-1 8.160949-6 4.803437-1 8.188577-6 3.847864-1 8.201123-6 3.536418-1 8.208015-6 3.446277-1 8.221210-6 3.422785-1 8.227452-6 3.506341-1 8.241297-6 3.838680-1 8.256325-6 4.523870-1 8.276046-6 5.691023-1 8.293454-6 6.894186-1 8.316520-6 8.666811-1 8.341733-6 1.008428+0 8.361820-6 1.047116+0 8.381907-6 1.011255+0 8.401994-6 9.088922-1 8.462256-6 4.465432-1 8.482343-6 3.203725-1 8.502430-6 2.273213-1 8.522517-6 1.653352-1 8.562691-6 8.897296-2 8.689011-6 8.453774-2 8.731785-6 1.090670-1 8.753172-6 1.298167-1 8.774559-6 1.616766-1 8.795946-6 2.055288-1 8.860106-6 3.695522-1 8.881493-6 4.067166-1 8.902880-6 4.203075-1 8.924267-6 4.070335-1 8.950998-6 3.590703-1 8.993292-6 2.609949-1 9.009814-6 2.263760-1 9.031201-6 1.962431-1 9.052904-6 1.835977-1 9.075187-6 1.874107-1 9.119752-6 2.202079-1 9.142035-6 2.423512-1 9.164317-6 2.553506-1 9.186600-6 2.599576-1 9.275730-6 2.355859-1 9.429126-6 2.295542-1 9.477600-6 2.737255-1 9.500654-6 3.092285-1 9.524630-6 3.642163-1 9.551977-6 4.536377-1 9.610398-6 6.782135-1 9.640380-6 7.532199-1 9.663539-6 7.677346-1 9.687511-6 7.362062-1 9.720633-6 6.304028-1 9.776400-6 4.093985-1 9.800629-6 3.339754-1 9.822703-6 2.835470-1 9.845854-6 2.490379-1 9.892129-6 2.070085-1 9.971172-6 2.068862-1 1.002026-5 2.224583-1 1.004480-5 2.358116-1 1.006934-5 2.565161-1 1.009389-5 2.851947-1 1.016751-5 3.935450-1 1.019206-5 4.183590-1 1.021660-5 4.275826-1 1.024114-5 4.209180-1 1.027957-5 3.832615-1 1.033931-5 3.131430-1 1.036386-5 2.973583-1 1.038840-5 2.934923-1 1.051359-5 3.270353-1 1.080153-5 3.046244-1 1.098319-5 2.702527-1 1.105693-5 2.732311-1 1.121223-5 2.920875-1 1.258925-5 2.683003-1 1.400000-5 2.629587-1 1.564742-5 2.763896-1 1.757924-5 3.133019-1 1.988750-5 3.840080-1 2.239515-5 4.919263-1 2.507859-5 6.453677-1 2.574570-5 6.887948-1 2.587258-5 2.455838+0 2.593626-5 3.923328+0 2.599994-5 6.147672+0 2.601488-5 6.856226+0 2.611584-5 2.382055+1 2.614294-5 2.849443+1 2.620697-5 4.448302+1 2.627602-5 6.835174+1 2.638644-5 1.182368+2 2.647602-5 1.614540+2 2.654793-5 1.884695+2 2.661532-5 2.021938+2 2.666168-5 2.036966+2 2.672511-5 1.920011+2 2.679218-5 1.662521+2 2.697561-5 7.321250+1 2.703939-5 4.741992+1 2.710343-5 2.887644+1 2.716779-5 1.669884+1 2.729552-5 2.419208+0 2.743266-5 3.496885+0 2.749888-5 3.851521+0 2.757068-5 3.998429+0 2.763854-5 4.532741+0 2.770641-5 4.843655+0 2.777427-5 5.460565+0 2.784213-5 6.615847+0 2.790999-5 8.459720+0 2.806517-5 1.441807+1 2.811358-5 1.636941+1 2.818992-5 1.866346+1 2.825778-5 1.957437+1 2.832634-5 1.938412+1 2.842459-5 1.756614+1 2.857299-5 1.407671+1 2.867323-5 1.277905+1 2.880168-5 1.230699+1 2.908495-5 1.208275+1 2.955643-5 1.077035+1 3.029950-5 9.563090+0 3.165161-5 8.081157+0 3.168872-5 8.049046+0 3.184472-5 1.622594+1 3.192272-5 2.303138+1 3.201084-5 3.523188+1 3.209097-5 5.030104+1 3.232349-5 1.021141+2 3.241188-5 1.135749+2 3.248694-5 1.159553+2 3.256528-5 1.100572+2 3.264709-5 9.622445+1 3.285869-5 4.801200+1 3.293669-5 3.354939+1 3.301468-5 2.290488+1 3.309268-5 1.586643+1 3.324868-5 7.387370+0 3.348901-5 7.778062+0 3.373630-5 8.787618+0 3.385994-5 9.687152+0 3.404040-5 1.170572+1 3.416235-5 1.328842+1 3.424315-5 1.405664+1 3.432783-5 1.447186+1 3.444666-5 1.427868+1 3.475121-5 1.250612+1 3.499745-5 1.193232+1 3.566826-5 1.136387+1 3.632331-5 1.039344+1 3.806404-5 9.164951+0 4.029035-5 8.180209+0 4.395956-5 7.260358+0 4.843533-5 6.741559+0 5.390783-5 6.612245+0 5.599743-5 6.727679+0 6.242152-5 7.083816+0 7.275758-5 8.140355+0 1.047129-4 1.186884+1 1.312457-4 1.442155+1 1.630553-4 1.644519+1 1.645695-4 1.674626+1 1.653628-4 1.887660+1 1.658406-4 2.107369+1 1.663287-4 2.444722+1 1.668599-4 2.936204+1 1.678242-4 3.865047+1 1.683083-4 4.124442+1 1.686459-4 4.173882+1 1.690912-4 4.019973+1 1.695720-4 3.642056+1 1.706281-4 2.592874+1 1.710838-4 2.238604+1 1.715303-4 1.997079+1 1.718483-4 1.880039+1 1.726994-4 1.835176+1 1.732436-4 2.007812+1 1.738246-4 2.296825+1 1.751691-4 3.206886+1 1.757671-4 3.461302+1 1.762078-4 3.493661+1 1.766695-4 3.375134+1 1.772207-4 3.072903+1 1.782410-4 2.414974+1 1.786311-4 2.213284+1 1.790391-4 2.058446+1 1.796095-4 1.932474+1 1.803642-4 1.835465+1 1.846810-4 1.961168+1 1.979500-4 2.086350+1 2.125814-4 2.056488+1 2.498921-4 1.902147+1 3.155828-4 1.846025+1 3.220906-4 1.999195+1 3.325964-4 1.948476+1 3.662532-4 1.939586+1 4.090135-4 1.915852+1 4.474785-4 1.883496+1 4.568191-4 1.909004+1 8.042824-4 1.387530+1 1.004717-3 1.153599+1 1.257969-3 9.326770+0 1.424878-3 8.223683+0 1.431895-3 8.911112+0 1.435400-3 9.510679+0 1.438907-3 1.044864+1 1.442942-3 1.202757+1 1.450546-3 1.609395+1 1.456475-3 1.961221+1 1.463562-3 2.261724+1 1.483632-3 2.671124+1 1.505050-3 3.324928+1 1.517082-3 3.342916+1 1.541922-3 3.265793+1 1.658918-3 3.188791+1 1.829377-3 2.934203+1 1.849084-3 3.053887+1 1.868719-3 3.242397+1 1.895491-3 3.206967+1 2.036071-3 2.910719+1 2.090262-3 2.977333+1 2.258582-3 2.708753+1 2.313998-3 2.709389+1 2.733859-3 2.172910+1 3.176591-3 1.765428+1 3.619414-3 1.461648+1 4.140007-3 1.200010+1 4.665600-3 1.002645+1 5.316173-3 8.218551+0 6.042964-3 6.737384+0 6.821032-3 5.570675+0 7.796955-3 4.504498+0 8.430486-3 3.987168+0 8.489854-3 4.139566+0 8.524562-3 4.470748+0 8.556533-3 5.053465+0 8.590641-3 6.001231+0 8.661285-3 8.352204+0 8.704817-3 9.358199+0 8.761154-3 9.892851+0 8.916929-3 9.807396+0 9.461529-3 9.000939+0 9.541292-3 9.395176+0 9.681681-3 1.116830+1 9.765562-3 1.153605+1 9.976375-3 1.144368+1 1.017080-2 1.237035+1 1.039621-2 1.218850+1 1.196440-2 9.793263+0 1.378655-2 7.801664+0 1.559931-2 6.380891+0 1.794346-2 5.062812+0 2.043196-2 4.072787+0 2.330184-2 3.257039+0 2.642800-2 2.624879+0 2.976426-2 2.135796+0 3.362246-2 1.726375+0 3.784797-2 1.401665+0 4.257234-2 1.137711+0 4.746185-2 9.378052-1 5.334267-2 7.607168-1 5.797769-2 6.577150-1 5.832607-2 6.732921-1 5.852917-2 7.156072-1 5.870609-2 7.962383-1 5.885119-2 9.079356-1 5.900860-2 1.085720+0 5.916116-2 1.317402+0 5.945734-2 1.889734+0 5.982714-2 2.597050+0 6.011864-2 2.961803+0 6.047298-2 3.150777+0 6.122578-2 3.162416+0 7.088765-2 2.500902+0 7.948230-2 2.076364+0 8.971221-2 1.696546+0 1.024399-1 1.353573+0 1.159696-1 1.094125+0 1.307223-1 8.889084-1 1.449316-1 7.431005-1 1.607702-1 6.199447-1 1.810435-1 5.040924-1 2.022001-1 4.157864-1 2.263624-1 3.419341-1 2.547499-1 2.794528-1 2.831914-1 2.337914-1 3.184971-1 1.923743-1 3.568618-1 1.601529-1 4.007297-1 1.335201-1 4.546036-1 1.103372-1 5.143396-1 9.223427-2 5.881026-1 7.665836-2 6.614382-1 6.575852-2 7.549021-1 5.585002-2 8.597556-1 4.806176-2 9.914025-1 4.129521-2 1.173413+0 3.435735-2 1.347258+0 2.946438-2 1.619761+0 2.400679-2 1.947381+0 1.956010-2 2.341267+0 1.593705-2 2.814822+0 1.298508-2 3.384160+0 1.057990-2 4.068655+0 8.620224-3 4.891600+0 7.023530-3 5.616308+0 6.023280-3 6.752287+0 4.907609-3 8.118035+0 3.998590-3 9.760024+0 3.257945-3 1.000000+1 6.709015-3 1 69000 7 0 1.689340+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-6.861879+1 1.983909-6-6.607647+1 2.267376-6-6.246668+1 2.380806-6-5.798193+1 2.426781-6-5.357161+1 2.449769-6-4.909384+1 2.461292-6-4.463252+1 2.488087-6-3.030338+1 2.494146-6-2.890304+1 2.499638-6-2.978378+1 2.504182-6-3.249316+1 2.508963-6-3.723142+1 2.516052-6-4.795409+1 2.527504-6-6.887003+1 2.530675-6-6.307040+1 2.537773-6-5.341833+1 2.543988-6-4.857503+1 2.551378-6-4.728414+1 2.559095-6-5.001383+1 2.591446-6-6.899894+1 2.636112-6-5.173069+1 2.648009-6-4.435051+1 2.652318-6-3.971948+1 2.655947-6-3.592898+1 2.664240-6-2.842043+1 2.673535-6-1.821424+1 2.678124-6-1.402878+1 2.679297-6-1.288814+1 2.680636-6-1.201262+1 2.685224-6-9.738576+0 2.686295-6-9.511671+0 2.687233-6-9.510658+0 2.688875-6-9.841599+0 2.690106-6-1.033325+1 2.692875-6-1.214744+1 2.695103-6-1.432192+1 2.698117-6-1.820193+1 2.700794-6-2.272549+1 2.703267-6-2.814028+1 2.709794-6-4.726363+1 2.715951-6-6.903586+1 2.717762-6-6.155281+1 2.725806-6-3.303588+1 2.731518-6-1.652929+1 2.732857-6-1.339037+1 2.735367-6-8.376457+0 2.736873-6-5.654500+0 2.737689-6-4.272963+0 2.739117-6-2.268951+0 2.740188-6-1.004053+0 2.741794-6 5.432664-1 2.742597-6 1.153693+0 2.743400-6 1.613636+0 2.745032-6 2.356026+0 2.746256-6 2.772498+0 2.748092-6 3.039104+0 2.749010-6 2.962929+0 2.753192-6 1.297478+0 2.754824-6 4.460042-1 2.755640-6-1.275092-1 2.756456-6-9.483788-1 2.757272-6-1.807515+0 2.760127-6-4.143932+0 2.761555-6-5.406948+0 2.762269-6-6.129427+0 2.762983-6-7.033864+0 2.771755-6-1.623116+1 2.780934-6-2.421461+1 2.784643-6-2.864429+1 2.791528-6-3.360602+1 2.802410-6-3.868566+1 2.821070-6-4.419335+1 2.851917-6-4.952428+1 2.909603-6-5.472225+1 3.032739-6-5.950071+1 3.325897-6-6.333083+1 4.085743-6-6.760702+1 4.158960-6-6.874901+1 4.205758-6-6.833913+1 4.268945-6-6.171857+1 4.332880-6-6.329148+1 4.496465-6-6.547866+1 4.767438-6-6.674224+1 4.847696-6-6.498338+1 5.043375-6-6.637057+1 6.445115-6-6.833199+1 6.569876-6-6.852202+1 6.699750-6-6.429312+1 6.743617-6-6.763536+1 6.754992-6-6.889547+1 6.813102-6-6.089933+1 6.849632-6-5.974281+1 6.990750-6-6.443373+1 7.638953-6-6.861943+1 7.743892-6-6.655175+1 7.794214-6-6.870825+1 7.866089-6-6.186940+1 7.923495-6-6.115094+1 8.062234-6-6.455423+1 8.381907-6-6.534497+1 9.720633-6-6.643045+1 1.757924-5-6.972392+1 2.185566-5-6.571435+1 2.359060-5-6.071828+1 2.453502-5-5.447042+1 2.502680-5-4.819636+1 2.535277-5-4.117498+1 2.555773-5-3.419946+1 2.566479-5-2.905859+1 2.574570-5-2.376426+1 2.584083-5-1.604220+1 2.587258-5-1.295492+1 2.592034-5-7.673740+0 2.593626-5-5.646330+0 2.596810-5-1.228155+0 2.598402-5 1.247260+0 2.599994-5 4.130347+0 2.601114-5 6.576659+0 2.601888-5 8.758601+0 2.602638-5 1.040401+1 2.603951-5 1.285703+1 2.607891-5 1.908648+1 2.613494-5 2.748485+1 2.615095-5 3.061601+1 2.622898-5 4.235089+1 2.628542-5 4.820349+1 2.631420-5 4.875753+1 2.635902-5 4.698016+1 2.639796-5 4.192389+1 2.643193-5 3.464395+1 2.645122-5 2.920895+1 2.646982-5 2.279442+1 2.650722-5 6.847522+0 2.651502-5 3.300317+0 2.652672-5-2.420497+0 2.653257-5-5.554797+0 2.653550-5-7.243087+0 2.654037-5-1.046440+1 2.654793-5-1.488892+1 2.658595-5-3.634076+1 2.660168-5-4.695825+1 2.664192-5-7.316438+1 2.666168-5-5.830827+1 2.671923-5-2.171241+1 2.672511-5-1.756975+1 2.673238-5-1.317471+1 2.673874-5-9.599441+0 2.674987-5-3.718385+0 2.677909-5 1.076753+1 2.678627-5 1.475241+1 2.679218-5 1.756762+1 2.680362-5 2.233911+1 2.682442-5 2.961807+1 2.685154-5 3.715010+1 2.688056-5 4.317417+1 2.692093-5 4.833936+1 2.694474-5 4.956584+1 2.696771-5 4.912354+1 2.703139-5 4.188393+1 2.704740-5 3.844496+1 2.709642-5 2.976675+1 2.716779-5 1.487527+1 2.717577-5 1.303635+1 2.719074-5 1.020577+1 2.721694-5 5.774850+0 2.725623-5-6.668937-1 2.727588-5-4.158053+0 2.728570-5-6.118469+0 2.729061-5-7.219185+0 2.729996-5-9.811232+0 2.730827-5-1.160067+1 2.733372-5-1.593353+1 2.736645-5-2.034186+1 2.743266-5-2.722208+1 2.754058-5-3.539625+1 2.763854-5-4.143859+1 2.790999-5-5.488002+1 2.804904-5-5.819171+1 2.818144-5-5.713470+1 2.840035-5-5.189681+1 2.855578-5-5.174089+1 2.889871-5-5.613375+1 3.058378-5-6.740898+1 3.105087-5-7.289523+1 3.143387-5-6.350495+1 3.160076-5-5.646634+1 3.168611-5-5.029218+1 3.174348-5-4.512770+1 3.184472-5-3.726552+1 3.193767-5-2.867572+1 3.202015-5-2.248103+1 3.209097-5-1.968162+1 3.212522-5-1.973089+1 3.216280-5-2.119976+1 3.220332-5-2.417576+1 3.224508-5-2.882334+1 3.227987-5-3.423655+1 3.231881-5-4.249628+1 3.239302-5-6.119526+1 3.242612-5-7.147298+1 3.247769-5-5.614083+1 3.248694-5-5.276715+1 3.257354-5-2.749713+1 3.261560-5-1.749369+1 3.263614-5-1.268903+1 3.264709-5-1.014649+1 3.266063-5-7.553313+0 3.267248-5-5.542756+0 3.269322-5-2.463144+0 3.270877-5-4.644038-1 3.273209-5 2.093710+0 3.275542-5 4.167067+0 3.278124-5 5.910245+0 3.280060-5 6.829547+0 3.281512-5 7.291833+0 3.283691-5 7.575150+0 3.284780-5 7.487229+0 3.289769-5 5.686280+0 3.291719-5 4.801422+0 3.292694-5 4.211033+0 3.294644-5 2.495716+0 3.298056-5 9.644393-2 3.299762-5-1.200229+0 3.300615-5-1.940589+0 3.301468-5-2.864632+0 3.309268-5-9.863637+0 3.310243-5-1.086483+1 3.312071-5-1.239740+1 3.323268-5-2.094338+1 3.326091-5-2.407592+1 3.332235-5-2.851413+1 3.344885-5-3.447797+1 3.358148-5-3.892734+1 3.390116-5-4.609274+1 3.413483-5-4.836024+1 3.459547-5-4.680997+1 3.553188-5-4.951088+1 3.890451-5-5.324559+1 4.843533-5-5.667644+1 7.275758-5-5.925775+1 1.533371-4-5.734035+1 1.611466-4-5.948936+1 1.638266-4-6.175572+1 1.663287-4-5.320012+1 1.670342-4-5.328659+1 1.676968-4-5.708876+1 1.681567-4-6.195179+1 1.691717-4-4.898373+1 1.696789-4-4.449239+1 1.702260-4-4.250579+1 1.708306-4-4.314873+1 1.718483-4-4.838940+1 1.735334-4-5.749252+1 1.744025-4-5.896097+1 1.751691-4-5.659201+1 1.760923-4-4.970531+1 1.770266-4-4.254345+1 1.777714-4-4.022345+1 1.785336-4-4.060475+1 1.808118-4-4.631366+1 1.837267-4-4.868462+1 1.942633-4-4.882022+1 2.280000-4-4.499245+1 3.056219-4-4.221771+1 3.206638-4-4.256838+1 3.289556-4-4.110003+1 4.435267-4-3.602680+1 5.339493-4-3.275923+1 6.814516-4-2.979060+1 8.717804-4-2.839580+1 1.065561-3-2.896890+1 1.220182-3-3.113020+1 1.318270-3-3.403241+1 1.382124-3-3.754118+1 1.423256-3-4.183151+1 1.442942-3-4.600986+1 1.465250-3-5.355309+1 1.474742-3-5.384442+1 1.499602-3-4.855553+1 1.523779-3-4.562731+1 1.549714-3-4.000642+1 1.580574-3-3.591833+1 1.636903-3-3.133373+1 1.728576-3-2.658210+1 1.803442-3-2.429866+1 1.841345-3-2.453144+1 1.863058-3-2.497280+1 1.879825-3-2.397181+1 1.917015-3-2.109589+1 1.972352-3-1.901189+1 2.036071-3-1.774128+1 2.079974-3-1.741622+1 2.128940-3-1.560713+1 2.202990-3-1.403518+1 2.282059-3-1.329485+1 2.355800-3-1.150374+1 2.480324-3-9.689657+0 2.658811-3-7.970212+0 2.791852-3-7.041379+0 3.006202-3-5.982751+0 3.260018-3-5.128662+0 3.499950-3-4.617635+0 3.757106-3-4.295270+0 4.140007-3-4.050105+0 4.665600-3-4.024578+0 5.316173-3-4.269674+0 6.042964-3-4.776218+0 6.821032-3-5.571185+0 7.486636-3-6.589098+0 7.924733-3-7.643289+0 8.199907-3-8.701928+0 8.372462-3-9.807877+0 8.472649-3-1.097360+1 8.607055-3-1.348807+1 8.661285-3-1.355512+1 8.728610-3-1.242815+1 8.823177-3-1.071804+1 8.916929-3-9.785273+0 9.075856-3-8.987669+0 9.271443-3-8.634191+0 9.425205-3-8.836487+0 9.613634-3-9.905763+0 9.681681-3-9.625404+0 9.827055-3-8.292556+0 9.935410-3-7.898339+0 1.007947-2-7.708975+0 1.020898-2-6.773072+0 1.034058-2-5.880681+0 1.053521-2-5.036327+0 1.083804-2-4.132743+0 1.118909-2-3.370929+0 1.164745-2-2.645251+0 1.216186-2-2.059533+0 1.263316-2-1.648064+0 1.320612-2-1.273228+0 1.364583-2-1.051801+0 1.411521-2-8.645980-1 1.458762-2-7.163695-1 1.514101-2-5.803175-1 1.559931-2-4.910820-1 1.623700-2-3.958510-1 1.678901-2-3.352191-1 1.730942-2-2.926971-1 1.794346-2-2.589778-1 1.875671-2-2.338885-1 1.963793-2-2.251784-1 2.043196-2-2.298881-1 2.172101-2-2.552951-1 2.261030-2-2.815106-1 2.477779-2-3.664507-1 3.362246-2-7.804693-1 4.415704-2-1.300037+0 4.890701-2-1.593092+0 5.241168-2-1.892861+0 5.486369-2-2.208210+0 5.639622-2-2.514529+0 5.749819-2-2.867945+0 5.812382-2-3.206813+0 5.864885-2-3.700752+0 5.923553-2-4.352847+0 5.954324-2-4.424315+0 5.989930-2-4.153265+0 6.063118-2-3.249971+0 6.122578-2-2.790277+0 6.195742-2-2.438748+0 6.306489-2-2.083201+0 6.473217-2-1.725871+0 6.702824-2-1.393295+0 6.924945-2-1.171489+0 7.195681-2-9.777999-1 7.498942-2-8.199055-1 7.750054-2-7.195167-1 8.150948-2-5.974438-1 8.573496-2-5.074497-1 8.971221-2-4.470611-1 9.438367-2-3.969042-1 9.964983-2-3.596204-1 1.079496-1-3.270658-1 1.159696-1-3.127113-1 1.307223-1-3.146282-1 1.607702-1-3.536902-1 2.263624-1-4.467450-1 2.932480-1-5.104061-1 4.007297-1-5.682520-1 5.881026-1-6.129784-1 9.914025-1-6.417165-1 3.086391+0-6.556470-1 9.320751+0-6.581462-1 1.000000+1-6.576028-1 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.003308-2 1.124144-6 1.558685-1 1.159273-6 1.808791-1 1.195500-6 2.103651-1 1.232860-6 2.452429-1 1.271387-6 2.866383-1 1.310099-6 3.345927-1 1.347602-6 3.880479-1 1.383933-6 4.473965-1 1.419129-6 5.130320-1 1.453225-6 5.853614-1 1.486255-6 6.648051-1 1.518253-6 7.517971-1 1.549251-6 8.467859-1 1.579281-6 9.502338-1 1.608372-6 1.062618+0 1.636554-6 1.184430+0 1.663855-6 1.316175+0 1.690303-6 1.458375+0 1.715925-6 1.611566+0 1.764791-6 1.953137+0 1.810651-6 2.345469+0 1.853689-6 2.793379+0 1.894080-6 3.301954+0 1.913333-6 3.581278+0 1.931985-6 3.880010+0 1.968123-6 4.541047+0 2.002003-6 5.278581+0 2.033765-6 6.101651+0 2.063542-6 7.015935+0 2.091458-6 8.027991+0 2.117629-6 9.145058+0 2.142164-6 1.037413+1 2.165166-6 1.172209+1 2.186730-6 1.319587+1 2.206947-6 1.480243+1 2.225900-6 1.654876+1 2.243668-6 1.844183+1 2.260326-6 2.048857+1 2.275943-6 2.269588+1 2.290584-6 2.507054+1 2.304309-6 2.761926+1 2.317177-6 3.034863+1 2.329241-6 3.326513+1 2.340550-6 3.637510+1 2.351153-6 3.968474+1 2.361093-6 4.320014+1 2.370412-6 4.692731+1 2.379149-6 5.087225+1 2.387339-6 5.504112+1 2.395017-6 5.944031+1 2.402216-6 6.407647+1 2.408965-6 6.895644+1 2.415292-6 7.408716+1 2.421223-6 7.947587+1 2.426784-6 8.513069+1 2.431997-6 9.106140+1 2.436884-6 9.728038+1 2.446048-6 1.111335+2 2.454066-6 1.264668+2 2.461082-6 1.434673+2 2.467221-6 1.622509+2 2.472593-6 1.827850+2 2.477293-6 2.048567+2 2.481406-6 2.280955+2 2.485005-6 2.520326+2 2.488153-6 2.761678+2 2.490909-6 3.000278+2 2.495429-6 3.453748+2 2.501889-6 4.252709+2 2.512029-6 5.906666+2 2.516373-6 6.766250+2 2.519463-6 7.427283+2 2.522552-6 8.123934+2 2.528730-6 9.593958+2 2.529503-6 9.782013+2 2.534909-6 1.109801+3 2.537033-6 1.160477+3 2.541087-6 1.253242+3 2.543676-6 1.308432+3 2.546765-6 1.368682+3 2.548618-6 1.401318+3 2.551336-6 1.443640+3 2.553957-6 1.477471+3 2.554830-6 1.487097+3 2.557936-6 1.514166+3 2.560654-6 1.528189+3 2.563422-6 1.532752+3 2.566369-6 1.526580+3 2.570139-6 1.502110+3 2.572980-6 1.471725+3 2.575371-6 1.438623+3 2.578326-6 1.388874+3 2.580943-6 1.337436+3 2.584178-6 1.265577+3 2.587040-6 1.195661+3 2.589611-6 1.128916+3 2.592102-6 1.061600+3 2.594037-6 1.008093+3 2.596954-6 9.264226+2 2.599543-6 8.537971+2 2.602560-6 7.702441+2 2.603645-6 7.407218+2 2.606348-6 6.687801+2 2.609051-6 5.997571+2 2.613058-6 5.040959+2 2.615230-6 4.560152+2 2.621657-6 3.310908+2 2.624626-6 2.825404+2 2.630472-6 2.038944+2 2.635586-6 1.527346+2 2.638384-6 1.312493+2 2.640117-6 1.201138+2 2.641797-6 1.108450+2 2.643355-6 1.035502+2 2.644542-6 9.880378+1 2.645734-6 9.472739+1 2.646303-6 9.302149+1 2.647156-6 9.074860+1 2.648009-6 8.881461+1 2.648933-6 8.709827+1 2.650751-6 8.484462+1 2.652513-6 8.406003+1 2.654219-6 8.459253+1 2.657525-6 8.921192+1 2.669149-6 1.447194+2 2.673895-6 1.876048+2 2.684861-6 3.478613+2 2.690077-6 4.633097+2 2.694071-6 5.734644+2 2.697129-6 6.723768+2 2.699626-6 7.634415+2 2.702904-6 8.980962+2 2.706821-6 1.083210+3 2.709682-6 1.235935+3 2.711731-6 1.354848+3 2.713781-6 1.481796+3 2.717113-6 1.705367+3 2.720444-6 1.950018+3 2.727524-6 2.535116+3 2.729086-6 2.674769+3 2.733185-6 3.055878+3 2.736334-6 3.359616+3 2.740434-6 3.762575+3 2.743818-6 4.095475+3 2.747097-6 4.412423+3 2.750481-6 4.727418+3 2.753760-6 5.015053+3 2.756675-6 5.251373+3 2.759896-6 5.486410+3 2.760840-6 5.549389+3 2.764744-6 5.778316+3 2.767793-6 5.918390+3 2.771345-6 6.034985+3 2.774231-6 6.090945+3 2.780621-6 6.087924+3 2.782443-6 6.055348+3 2.787408-6 5.898805+3 2.790309-6 5.764565+3 2.792845-6 5.623928+3 2.795871-6 5.430747+3 2.798859-6 5.216515+3 2.802450-6 4.933909+3 2.806201-6 4.616677+3 2.810398-6 4.244889+3 2.813729-6 3.944056+3 2.817477-6 3.606277+3 2.820393-6 3.347904+3 2.827056-6 2.785572+3 2.829346-6 2.604493+3 2.833719-6 2.279788+3 2.838716-6 1.945429+3 2.845772-6 1.543041+3 2.856075-6 1.095366+3 2.859510-6 9.791122+2 2.862945-6 8.771840+2 2.866379-6 7.881838+2 2.869814-6 7.107199+2 2.873248-6 6.434454+2 2.876683-6 5.850886+2 2.880118-6 5.344724+2 2.883552-6 4.905276+2 2.886987-6 4.522981+2 2.893856-6 3.897252+2 2.900725-6 3.412861+2 2.907595-6 3.030033+2 2.914464-6 2.720728+2 2.921333-6 2.465536+2 2.928202-6 2.251079+2 2.937795-6 2.002675+2 2.947238-6 1.801800+2 2.956533-6 1.635977+2 2.965683-6 1.496865+2 2.974690-6 1.378630+2 2.983556-6 1.277035+2 2.992283-6 1.188916+2 3.000875-6 1.111848+2 3.009332-6 1.043938+2 3.025981-6 9.290881+1 3.042111-6 8.367365+1 3.057736-6 7.610539+1 3.072874-6 6.980880+1 3.087538-6 6.450381+1 3.101744-6 5.998550+1 3.115505-6 5.609974+1 3.128837-6 5.272711+1 3.154668-6 4.708618+1 3.178884-6 4.265080+1 3.201586-6 3.908940+1 3.222870-6 3.618253+1 3.242824-6 3.377638+1 3.261530-6 3.175829+1 3.296604-6 2.847195+1 3.327294-6 2.602329+1 3.354148-6 2.415284+1 3.377645-6 2.269355+1 3.418765-6 2.045714+1 3.449605-6 1.899851+1 3.495865-6 1.709341+1 3.576999-6 1.435113+1 3.716495-6 1.085519+1 3.899293-6 7.305733+0 3.928671-6 6.752185+0 3.954377-6 6.263623+0 3.976870-6 5.824719+0 3.996551-6 5.426077+0 4.013772-6 5.061698+0 4.028840-6 4.727358+0 4.042025-6 4.419949+0 4.053562-6 4.137216+0 4.063657-6 3.877613+0 4.072489-6 3.640135+0 4.080218-6 3.424097+0 4.093743-6 3.028542+0 4.103887-6 2.721128+0 4.111495-6 2.489179+0 4.117201-6 2.317787+0 4.134319-6 1.853107+0 4.140043-6 1.730464+0 4.144495-6 1.653440+0 4.149583-6 1.590367+0 4.153399-6 1.564171+0 4.154671-6 1.560034+0 4.162303-6 1.591722+0 4.164847-6 1.626854+0 4.166119-6 1.649628+0 4.172797-6 1.832608+0 4.175023-6 1.919704+0 4.178044-6 2.061139+0 4.181622-6 2.265908+0 4.184752-6 2.480916+0 4.187960-6 2.738594+0 4.192429-6 3.165579+0 4.199965-6 4.082523+0 4.208739-6 5.497551+0 4.216140-6 7.010035+0 4.220108-6 7.947573+0 4.227807-6 1.002362+1 4.232485-6 1.144901+1 4.237934-6 1.325854+1 4.242791-6 1.499793+1 4.247868-6 1.692936+1 4.252938-6 1.895541+1 4.257527-6 2.085351+1 4.262312-6 2.287655+1 4.267427-6 2.505878+1 4.271099-6 2.662027+1 4.276241-6 2.877045+1 4.280198-6 3.037518+1 4.284586-6 3.208064+1 4.289621-6 3.391286+1 4.290834-6 3.433088+1 4.297204-6 3.635098+1 4.301187-6 3.744775+1 4.309680-6 3.929686+1 4.313239-6 3.985822+1 4.320033-6 4.056212+1 4.323753-6 4.074101+1 4.329592-6 4.073136+1 4.332379-6 4.060543+1 4.336559-6 4.027649+1 4.340739-6 3.978901+1 4.347206-6 3.875234+1 4.349361-6 3.833840+1 4.357104-6 3.661522+1 4.362266-6 3.529948+1 4.370010-6 3.315495+1 4.380334-6 3.013445+1 4.383376-6 2.923758+1 4.392503-6 2.659750+1 4.417385-6 2.034997+1 4.426772-6 1.848095+1 4.431983-6 1.756297+1 4.442404-6 1.596685+1 4.450805-6 1.489062+1 4.458944-6 1.400275+1 4.474712-6 1.263315+1 4.489495-6 1.166403+1 4.503354-6 1.094741+1 4.711239-6 4.750286+0 4.728633-6 4.284067+0 4.737395-6 4.085269+0 4.746027-6 3.929164+0 4.757623-6 3.806381+0 4.760716-6 3.794488+0 4.772377-6 3.844932+0 4.775292-6 3.883439+0 4.784037-6 4.066924+0 4.788045-6 4.186288+0 4.791871-6 4.321231+0 4.795698-6 4.476581+0 4.801163-6 4.733104+0 4.807301-6 5.067190+0 4.819019-6 5.821985+0 4.830679-6 6.681263+0 4.837967-6 7.243389+0 4.842340-6 7.580439+0 4.854000-6 8.442436+0 4.855458-6 8.543733+0 4.865660-6 9.192221+0 4.869669-6 9.412291+0 4.877321-6 9.767843+0 4.882901-6 9.968879+0 4.886085-6 1.006043+1 4.891657-6 1.017924+1 4.895836-6 1.023369+1 4.902104-6 1.026059+1 4.908373-6 1.022439+1 4.912302-6 1.017143+1 4.921048-6 9.977861+0 4.923963-6 9.892434+0 4.935623-6 9.465332+0 4.943161-6 9.132577+0 4.951944-6 8.708385+0 4.965925-6 7.994875+0 4.983332-6 7.120197+0 5.002444-6 6.268841+0 5.007863-6 6.058357+0 5.021624-6 5.598344+0 5.033923-6 5.287225+0 5.046223-6 5.078354+0 5.052373-6 5.013319+0 5.058522-6 4.974357+0 5.061597-6 4.964447+0 5.066978-6 4.961935+0 5.071014-6 4.971926+0 5.077068-6 5.004690+0 5.083121-6 5.056745+0 5.092346-6 5.166839+0 5.123340-6 5.656805+0 5.136459-6 5.834758+0 5.145935-6 5.926196+0 5.152253-6 5.966047+0 5.156991-6 5.984189+0 5.164098-6 5.992490+0 5.171205-6 5.979033+0 5.181518-6 5.925255+0 5.193817-6 5.820471+0 5.224566-6 5.491421+0 5.233791-6 5.404310+0 5.249302-6 5.289272+0 5.255589-6 5.254643+0 5.268462-6 5.203148+0 5.287464-6 5.161394+0 5.331164-6 5.096934+0 5.366170-6 5.008438+0 5.454766-6 4.744900+0 5.507487-6 4.576646+0 5.597847-6 4.264809+0 5.690984-6 3.997730+0 5.751975-6 3.804338+0 5.843191-6 3.502952+0 5.900000-6 3.304108+0 6.008760-6 2.897080+0 6.086196-6 2.591021+0 6.159922-6 2.274665+0 6.215216-6 2.016861+0 6.256686-6 1.810491+0 6.287789-6 1.647844+0 6.311116-6 1.521305+0 6.346107-6 1.324232+0 6.363602-6 1.222573+0 6.381097-6 1.119047+0 6.394673-6 1.037621+0 6.412510-6 9.296073-1 6.426153-6 8.466506-1 6.441892-6 7.513309-1 6.457632-6 6.575855-1 6.466483-6 6.062062-1 6.475335-6 5.563337-1 6.483188-6 5.138154-1 6.506747-6 4.021906-1 6.514601-6 3.732618-1 6.522454-6 3.506435-1 6.531306-6 3.350891-1 6.538160-6 3.324114-1 6.546013-6 3.423005-1 6.549940-6 3.535630-1 6.553866-6 3.697831-1 6.557793-6 3.916013-1 6.563683-6 4.364046-1 6.566628-6 4.649764-1 6.569573-6 4.981620-1 6.573796-6 5.546416-1 6.578020-6 6.227819-1 6.580891-6 6.764803-1 6.585601-6 7.790014-1 6.592308-6 9.601624-1 6.614197-6 1.933958+0 6.623107-6 2.554239+0 6.628617-6 3.020935+0 6.634815-6 3.632357+0 6.642784-6 4.569585+0 6.649678-6 5.534106+0 6.656360-6 6.620343+0 6.663606-6 7.982557+0 6.670381-6 9.443786+0 6.674948-6 1.053792+1 6.679516-6 1.172363+1 6.683266-6 1.276737+1 6.688890-6 1.445519+1 6.695539-6 1.664358+1 6.697461-6 1.731537+1 6.707548-6 2.113174+1 6.713857-6 2.376144+1 6.717220-6 2.523673+1 6.727308-6 2.995065+1 6.733617-6 3.309803+1 6.744599-6 3.887378+1 6.752420-6 4.315509+1 6.757082-6 4.574653+1 6.763745-6 4.946907+1 6.770706-6 5.333980+1 6.777136-6 5.685581+1 6.783847-6 6.041661+1 6.790987-6 6.403158+1 6.794401-6 6.568023+1 6.803011-6 6.955870+1 6.810855-6 7.268466+1 6.817583-6 7.500768+1 6.825450-6 7.725863+1 6.833068-6 7.892396+1 6.839832-6 7.995668+1 6.845454-6 8.048800+1 6.848711-6 8.065917+1 6.858484-6 8.057513+1 6.866760-6 7.982185+1 6.875024-6 7.848147+1 6.880336-6 7.733137+1 6.885649-6 7.597349+1 6.891155-6 7.436488+1 6.898383-6 7.197693+1 6.905352-6 6.941918+1 6.915873-6 6.518538+1 6.924072-6 6.166466+1 6.938675-6 5.515146+1 6.956866-6 4.707039+1 6.966089-6 4.315282+1 6.981461-6 3.707496+1 7.022218-6 2.446357+1 7.034327-6 2.172401+1 7.046246-6 1.942903+1 7.057979-6 1.751658+1 7.069529-6 1.592627+1 7.080898-6 1.460267+1 7.092090-6 1.349702+1 7.114123-6 1.176899+1 7.139059-6 1.032628+1 7.156146-6 9.550263+0 7.176178-6 8.792135+0 7.195584-6 8.171571+0 7.233183-6 7.187500+0 7.268431-6 6.440900+0 7.301477-6 5.844088+0 7.363438-6 4.898616+0 7.471869-6 3.520940+0 7.512531-6 3.043437+0 7.548110-6 2.631832+0 7.579241-6 2.272880+0 7.606482-6 1.958874+0 7.630317-6 1.686073+0 7.651172-6 1.453412+0 7.669421-6 1.261337+0 7.685389-6 1.110685+0 7.699361-6 1.001684+0 7.711586-6 9.332686-1 7.722283-6 9.028306-1 7.731643-6 9.063642-1 7.739833-6 9.388639-1 7.746999-6 9.948220-1 7.753270-6 1.068696+0 7.758756-6 1.155277+0 7.763557-6 1.249931+0 7.767758-6 1.348728+0 7.771433-6 1.448472+0 7.774650-6 1.546679+0 7.779926-6 1.731627+0 7.787059-6 2.033296+0 7.797587-6 2.601890+0 7.814968-6 3.924323+0 7.824468-6 4.884265+0 7.835546-6 6.245286+0 7.843428-6 7.384832+0 7.850944-6 8.611662+0 7.860765-6 1.042800+1 7.869005-6 1.214099+1 7.876171-6 1.377028+1 7.886197-6 1.626077+1 7.891084-6 1.755938+1 7.895026-6 1.864503+1 7.906854-6 2.208547+1 7.913811-6 2.421884+1 7.922796-6 2.706405+1 7.931505-6 2.988432+1 7.939245-6 3.241017+1 7.947591-6 3.511746+1 7.954601-6 3.734959+1 7.963352-6 4.004355+1 7.968716-6 4.162501+1 7.977529-6 4.407474+1 7.985928-6 4.620187+1 7.990384-6 4.723521+1 7.999658-6 4.914857+1 8.007030-6 5.042069+1 8.024925-6 5.249810+1 8.032507-6 5.292416+1 8.044629-6 5.303607+1 8.053987-6 5.265459+1 8.062168-6 5.200418+1 8.071929-6 5.086999+1 8.077786-6 5.001863+1 8.087466-6 4.836332+1 8.096107-6 4.666129+1 8.108718-6 4.388190+1 8.118331-6 4.159712+1 8.135453-6 3.735756+1 8.159801-6 3.143723+1 8.190850-6 2.496916+1 8.205508-6 2.254390+1 8.214776-6 2.124029+1 8.222213-6 2.032283+1 8.227790-6 1.970819+1 8.236156-6 1.889996+1 8.244523-6 1.822107+1 8.254497-6 1.756693+1 8.264472-6 1.706325+1 8.279434-6 1.654274+1 8.284421-6 1.642066+1 8.304370-6 1.611481+1 8.348261-6 1.583861+1 8.365478-6 1.567080+1 8.376546-6 1.551328+1 8.387614-6 1.531202+1 8.404116-6 1.493069+1 8.415787-6 1.460678+1 8.424065-6 1.435346+1 8.444014-6 1.368028+1 8.463963-6 1.295146+1 8.475434-6 1.252272+1 8.545991-6 1.008477+1 8.566974-6 9.484987+0 8.626148-6 8.116848+0 8.668613-6 7.388315+0 8.689845-6 7.098577+0 8.711077-6 6.860357+0 8.734840-6 6.656489+0 8.747385-6 6.575380+0 8.766202-6 6.486132+0 8.785019-6 6.431485+0 8.797790-6 6.410577+0 8.839756-6 6.394708+0 8.874864-6 6.382150+0 8.899915-6 6.341265+0 8.916304-6 6.294342+0 8.944672-6 6.175352+0 8.965863-6 6.060998+0 9.052748-6 5.543380+0 9.074867-6 5.434116+0 9.119105-6 5.255159+0 9.238803-6 4.871821+0 9.259177-6 4.804713+0 9.342733-6 4.511185+0 9.410666-6 4.233162+0 9.457592-6 4.007985+0 9.516564-6 3.713837+0 9.542412-6 3.606725+0 9.565390-6 3.539312+0 9.581520-6 3.513786+0 9.588368-6 3.509375+0 9.603511-6 3.514627+0 9.614130-6 3.531353+0 9.623510-6 3.555388+0 9.638578-6 3.612231+0 9.651650-6 3.679153+0 9.668501-6 3.787353+0 9.696310-6 4.007950+0 9.730255-6 4.309582+0 9.754324-6 4.512527+0 9.760539-6 4.560254+0 9.779184-6 4.686800+0 9.787237-6 4.732455+0 9.801330-6 4.797504+0 9.811900-6 4.833125+0 9.827755-6 4.864682+0 9.843611-6 4.870210+0 9.866977-6 4.834119+0 9.890343-6 4.752943+0 9.913709-6 4.637593+0 9.942767-6 4.463953+0 1.003139-5 3.905682+0 1.005773-5 3.764987+0 1.008077-5 3.658124+0 1.010546-5 3.562598+0 1.013015-5 3.488400+0 1.015485-5 3.436487+0 1.017269-5 3.412767+0 1.019053-5 3.399981+0 1.021086-5 3.397294+0 1.022892-5 3.403625+0 1.031780-5 3.473229+0 1.034680-5 3.479670+0 1.036808-5 3.473416+0 1.040602-5 3.439915+0 1.045367-5 3.370146+0 1.053048-5 3.250660+0 1.057224-5 3.199674+0 1.061048-5 3.161525+0 1.070426-5 3.081002+0 1.080400-5 2.991792+0 1.086297-5 2.933194+0 1.091936-5 2.870004+0 1.098853-5 2.781035+0 1.114052-5 2.577068+0 1.122260-5 2.490719+0 1.147343-5 2.281297+0 1.157506-5 2.196915+0 1.187968-5 1.942618+0 1.224820-5 1.647491+0 1.244515-5 1.496190+0 1.290000-5 1.165049+0 1.333521-5 8.792136-1 1.370000-5 6.655620-1 1.391895-5 5.502841-1 1.430644-5 3.712289-1 1.470643-5 2.237009-1 1.504548-5 1.330289-1 1.538382-5 7.842351-2 1.539778-5 7.696089-2 1.563401-5 6.360958-2 1.570000-5 6.389313-2 1.573906-5 6.495762-2 1.590437-5 7.697233-2 1.606709-5 1.008126-1 1.622727-5 1.366253-1 1.640590-5 1.920347-1 1.654017-5 2.455334-1 1.669296-5 3.199615-1 1.690000-5 4.445443-1 1.713659-5 6.203558-1 1.735012-5 7.766068-1 1.743743-5 8.103057-1 1.744611-5 8.120745-1 1.773681-5 7.382422-1 1.800238-5 6.008014-1 1.818686-5 5.095743-1 1.838616-5 4.177371-1 1.851010-5 3.647966-1 1.875222-5 2.719042-1 1.887045-5 2.323438-1 1.898683-5 1.978554-1 1.910139-5 1.686837-1 1.926789-5 1.357323-1 1.932693-5 1.270305-1 1.950000-5 1.115968-1 1.954543-5 1.101943-1 1.975710-5 1.196818-1 1.986425-5 1.358601-1 1.996215-5 1.583594-1 2.016079-5 2.289101-1 2.035323-5 3.331699-1 2.044718-5 3.990294-1 2.055000-5 4.838257-1 2.072025-5 6.565198-1 2.089521-5 8.811949-1 2.106470-5 1.151725+0 2.122889-5 1.471634+0 2.138795-5 1.844337+0 2.154203-5 2.272967+0 2.170000-5 2.791635+0 2.183592-5 3.311789+0 2.197601-5 3.930169+0 2.211172-5 4.620010+0 2.224319-5 5.384995+0 2.252077-5 7.371877+0 2.316064-5 1.479643+1 2.354307-5 2.224663+1 2.371656-5 2.679113+1 2.387920-5 3.194049+1 2.403167-5 3.774047+1 2.417462-5 4.423620+1 2.430863-5 5.146770+1 2.445605-5 6.100068+1 2.455205-5 6.829292+1 2.466247-5 7.796822+1 2.478500-5 9.065919+1 2.486304-5 1.000374+2 2.495402-5 1.125024+2 2.503932-5 1.259640+2 2.512910-5 1.423680+2 2.519426-5 1.559846+2 2.526454-5 1.725873+2 2.533043-5 1.902737+2 2.541238-5 2.157104+2 2.545012-5 2.289362+2 2.551493-5 2.542829+2 2.555531-5 2.720125+2 2.561789-5 3.029835+2 2.569250-5 3.466892+2 2.577079-5 4.028493+2 2.583929-5 4.635927+2 2.590786-5 5.392047+2 2.595167-5 5.977623+2 2.600116-5 6.763623+2 2.603772-5 7.449717+2 2.608638-5 8.537294+2 2.610359-5 8.978517+2 2.615740-5 1.059029+3 2.619775-5 1.207697+3 2.622801-5 1.338192+3 2.627340-5 1.570310+3 2.631880-5 1.854331+3 2.639718-5 2.497152+3 2.652680-5 4.117173+3 2.658352-5 5.093036+3 2.662458-5 5.911307+3 2.666486-5 6.805505+3 2.669760-5 7.596786+3 2.673852-5 8.661065+3 2.679580-5 1.026880+4 2.681831-5 1.092878+4 2.686946-5 1.246063+4 2.690526-5 1.353609+4 2.693493-5 1.441179+4 2.696370-5 1.523450+4 2.699601-5 1.611151+4 2.702299-5 1.679362+4 2.705769-5 1.758581+4 2.708633-5 1.815447+4 2.711798-5 1.867947+4 2.712725-5 1.881096+4 2.716561-5 1.923956+4 2.719557-5 1.943803+4 2.723009-5 1.951196+4 2.726073-5 1.943669+4 2.732162-5 1.890161+4 2.735090-5 1.847190+4 2.738077-5 1.792885+4 2.740586-5 1.739894+4 2.743677-5 1.666446+4 2.745485-5 1.619836+4 2.748453-5 1.538528+4 2.750724-5 1.472963+4 2.753971-5 1.375637+4 2.757363-5 1.271183+4 2.761419-5 1.145225+4 2.764693-5 1.044704+4 2.768375-5 9.347005+3 2.772058-5 8.295507+3 2.774922-5 7.519694+3 2.778483-5 6.614168+3 2.779788-5 6.299699+3 2.788926-5 4.377427+3 2.792719-5 3.723686+3 2.797341-5 3.036114+3 2.802390-5 2.411789+3 2.809122-5 1.760689+3 2.818061-5 1.157654+3 2.823336-5 9.115639+2 2.826689-5 7.887738+2 2.831866-5 6.416741+2 2.834699-5 5.797118+2 2.838768-5 5.098329+2 2.840112-5 4.911257+2 2.841287-5 4.763512+2 2.843344-5 4.538162+2 2.844886-5 4.394723+2 2.847200-5 4.216600+2 2.849514-5 4.078145+2 2.851018-5 4.007029+2 2.852038-5 3.966432+2 2.854100-5 3.901513+2 2.856805-5 3.846657+2 2.859414-5 3.820772+2 2.860284-5 3.817072+2 2.863863-5 3.822400+2 2.868324-5 3.861476+2 2.875382-5 3.951163+2 2.882475-5 4.022801+2 2.884342-5 4.033214+2 2.889878-5 4.036581+2 2.892030-5 4.025939+2 2.895798-5 3.990908+2 2.899038-5 3.944725+2 2.903711-5 3.854536+2 2.906626-5 3.786198+2 2.909790-5 3.703548+2 2.916626-5 3.504071+2 2.925403-5 3.231583+2 2.939616-5 2.821534+2 2.945295-5 2.680158+2 2.953382-5 2.502445+2 2.961555-5 2.347068+2 2.973549-5 2.150828+2 3.011875-5 1.646901+2 3.040000-5 1.346692+2 3.080283-5 1.004021+2 3.116376-5 7.724344+1 3.131145-5 6.986438+1 3.139486-5 6.634129+1 3.147287-5 6.350876+1 3.154627-5 6.127178+1 3.161508-5 5.956819+1 3.167959-5 5.834359+1 3.173912-5 5.758342+1 3.179499-5 5.727838+1 3.182193-5 5.731236+1 3.184742-5 5.747980+1 3.187242-5 5.779566+1 3.190836-5 5.857195+1 3.194246-5 5.974853+1 3.196086-5 6.060285+1 3.199505-5 6.269043+1 3.201527-5 6.428795+1 3.203502-5 6.615625+1 3.205415-5 6.829777+1 3.207269-5 7.072566+1 3.209064-5 7.345178+1 3.210892-5 7.665299+1 3.212488-5 7.983849+1 3.214121-5 8.351480+1 3.215702-5 8.752061+1 3.218766-5 9.669110+1 3.221638-5 1.072394+2 3.224331-5 1.191395+2 3.226855-5 1.323373+2 3.229222-5 1.467542+2 3.231441-5 1.622914+2 3.233521-5 1.788346+2 3.237299-5 2.144300+2 3.243633-5 2.932971+2 3.252361-5 4.525886+2 3.257624-5 5.844180+2 3.261728-5 7.094074+2 3.266331-5 8.754477+2 3.269327-5 9.994065+2 3.271723-5 1.107989+3 3.274119-5 1.225261+3 3.278138-5 1.442012+3 3.282158-5 1.684114+3 3.290197-5 2.242566+3 3.291641-5 2.352778+3 3.298738-5 2.931562+3 3.301329-5 3.155723+3 3.306275-5 3.596495+3 3.309669-5 3.904420+3 3.312319-5 4.145031+3 3.316105-5 4.485266+3 3.320060-5 4.830385+3 3.323328-5 5.102746+3 3.326418-5 5.346000+3 3.330113-5 5.613920+3 3.334537-5 5.895293+3 3.338373-5 6.098705+3 3.341157-5 6.220155+3 3.344828-5 6.344152+3 3.348660-5 6.427680+3 3.351950-5 6.460932+3 3.355247-5 6.458391+3 3.356958-5 6.443057+3 3.362975-5 6.315693+3 3.366708-5 6.182517+3 3.369972-5 6.035293+3 3.373866-5 5.826048+3 3.376203-5 5.684999+3 3.378818-5 5.515117+3 3.382251-5 5.275780+3 3.385562-5 5.030868+3 3.390685-5 4.632982+3 3.394704-5 4.312009+3 3.399226-5 3.949439+3 3.402743-5 3.670841+3 3.410782-5 3.061581+3 3.426401-5 2.060094+3 3.444006-5 1.282159+3 3.448279-5 1.146284+3 3.452442-5 1.031253+3 3.456060-5 9.440314+2 3.459678-5 8.676625+2 3.463905-5 7.909111+2 3.468131-5 7.261765+2 3.471609-5 6.809283+2 3.478294-5 6.114566+2 3.481028-5 5.888104+2 3.485127-5 5.601865+2 3.489227-5 5.371725+2 3.492884-5 5.207038+2 3.495626-5 5.105230+2 3.500501-5 4.963155+2 3.503415-5 4.898329+2 3.508540-5 4.813392+2 3.511681-5 4.776014+2 3.520332-5 4.711888+2 3.540774-5 4.634322+2 3.547036-5 4.601587+2 3.556417-5 4.533896+2 3.563957-5 4.463884+2 3.573656-5 4.358632+2 3.606772-5 3.981067+2 3.626124-5 3.805035+2 3.653929-5 3.605005+2 3.687041-5 3.387112+2 3.726666-5 3.136811+2 3.751604-5 3.001546+2 3.786062-5 2.845820+2 3.836531-5 2.659529+2 3.898771-5 2.472832+2 3.969778-5 2.299888+2 4.034347-5 2.170665+2 4.110529-5 2.042665+2 4.199625-5 1.918443+2 4.284566-5 1.818669+2 4.364198-5 1.738860+2 4.474916-5 1.645068+2 4.601033-5 1.554494+2 4.699358-5 1.493605+2 4.845451-5 1.416356+2 5.011872-5 1.343255+2 5.188000-5 1.279655+2 5.500000-5 1.188027+2 5.586044-5 1.167752+2 5.628463-5 1.161719+2 5.710575-5 1.157819+2 5.758907-5 1.152940+2 5.888800-5 1.130791+2 6.144000-5 1.104201+2 6.450000-5 1.086819+2 6.784190-5 1.083453+2 7.150594-5 1.096735+2 7.603319-5 1.135057+2 8.128305-5 1.203451+2 8.627014-5 1.287254+2 9.276075-5 1.416455+2 9.800000-5 1.532786+2 1.065503-4 1.741523+2 1.244515-4 2.241929+2 1.350000-4 2.562529+2 1.461364-4 2.901640+2 1.566751-4 3.208185+2 1.647468-4 3.423856+2 1.708584-4 3.559902+2 1.740013-4 3.611474+2 1.775232-4 3.650697+2 1.787626-4 3.684818+2 1.797067-4 3.731396+2 1.821114-4 3.901156+2 1.830519-4 3.959971+2 1.840608-4 4.009955+2 1.858799-4 4.086506+2 1.875530-4 4.181754+2 1.887192-4 4.273607+2 1.906349-4 4.439365+2 1.916895-4 4.519389+2 1.945000-4 4.709993+2 2.005000-4 5.207737+2 2.045000-4 5.511005+2 2.085000-4 5.766844+2 2.125184-4 5.973100+2 2.171691-4 6.156881+2 2.223733-4 6.311603+2 2.284951-4 6.449677+2 2.360965-4 6.581156+2 2.712126-4 7.033017+2 2.920028-4 7.302335+2 3.082746-4 7.493068+2 3.210481-4 7.598588+2 3.248002-4 7.639162+2 3.280637-4 7.725573+2 3.326172-4 7.888731+2 3.386675-4 8.031682+2 3.455306-4 8.264468+2 3.540688-4 8.493365+2 3.700000-4 8.809310+2 3.820622-4 9.023131+2 4.007526-4 9.436904+2 4.231322-4 9.816831+2 4.475677-4 1.014415+3 4.648092-4 1.032661+3 4.707619-4 1.042554+3 4.859762-4 1.074994+3 5.090721-4 1.109724+3 5.416890-4 1.147133+3 5.832000-4 1.184497+3 6.291439-4 1.215447+3 6.765362-4 1.236280+3 7.332900-4 1.250584+3 7.947570-4 1.256870+3 8.579332-4 1.254152+3 9.265514-4 1.240890+3 9.885530-4 1.220195+3 1.056209-3 1.185245+3 1.109974-3 1.149362+3 1.166400-3 1.104504+3 1.217652-3 1.056269+3 1.260739-3 1.008621+3 1.302230-3 9.547021+2 1.339459-3 8.977180+2 1.361733-3 8.585680+2 1.389398-3 8.025344+2 1.413300-3 7.456332+2 1.431952-3 6.939628+2 1.447261-3 6.451871+2 1.461634-3 5.919865+2 1.473215-3 5.413468+2 1.481771-3 4.976851+2 1.488145-3 4.614228+2 1.493722-3 4.279593+2 1.503078-3 3.744352+2 1.505018-3 3.650374+2 1.506939-3 3.567316+2 1.508410-3 3.511756+2 1.510221-3 3.454337+2 1.511869-3 3.413913+2 1.513369-3 3.387893+2 1.515038-3 3.371927+2 1.516859-3 3.371108+2 1.518687-3 3.388534+2 1.520741-3 3.430600+2 1.522507-3 3.485942+2 1.524048-3 3.548491+2 1.525674-3 3.628585+2 1.527090-3 3.709518+2 1.529245-3 3.851456+2 1.530927-3 3.976494+2 1.535653-3 4.381657+2 1.542368-3 5.036780+2 1.544799-3 5.280409+2 1.547064-3 5.505401+2 1.550399-3 5.828949+2 1.553474-3 6.116831+2 1.556716-3 6.409576+2 1.560116-3 6.707234+2 1.565395-3 7.161677+2 1.581476-3 8.644288+2 1.589534-3 9.449443+2 1.594312-3 9.917864+2 1.599713-3 1.041843+3 1.606038-3 1.094918+3 1.613905-3 1.151613+3 1.621527-3 1.197651+3 1.633522-3 1.257449+3 1.645771-3 1.309052+3 1.665569-3 1.382564+3 1.687192-3 1.454160+3 1.709278-3 1.518366+3 1.741631-3 1.600179+3 1.774876-3 1.671228+3 1.805506-3 1.721441+3 1.827690-3 1.746655+3 1.843833-3 1.757672+3 1.864769-3 1.762332+3 1.899838-3 1.757189+3 1.912057-3 1.766154+3 1.919605-3 1.778904+3 1.927525-3 1.798530+3 1.943777-3 1.852938+3 1.966754-3 1.932994+3 1.977256-3 1.962960+3 1.987980-3 1.988236+3 2.003389-3 2.016352+3 2.020529-3 2.039299+3 2.047005-3 2.064427+3 2.069903-3 2.078844+3 2.127576-3 2.094762+3 2.139310-3 2.100989+3 2.160404-3 2.122443+3 2.200814-3 2.179174+3 2.216928-3 2.197099+3 2.239861-3 2.215766+3 2.269180-3 2.231255+3 2.296965-3 2.238936+3 2.337199-3 2.241773+3 2.354479-3 2.247132+3 2.377141-3 2.265366+3 2.413463-3 2.306260+3 2.434538-3 2.324500+3 2.462831-3 2.341216+3 2.501065-3 2.356126+3 2.587107-3 2.375496+3 2.688631-3 2.384199+3 2.826506-3 2.383063+3 2.987686-3 2.366674+3 3.212736-3 2.330392+3 3.456000-3 2.276475+3 3.713265-3 2.211036+3 3.954546-3 2.145573+3 4.269394-3 2.057343+3 4.613840-3 1.961385+3 4.991327-3 1.856839+3 5.237936-3 1.789691+3 5.712307-3 1.665819+3 5.973791-3 1.599942+3 6.245221-3 1.533324+3 6.517222-3 1.468772+3 6.790666-3 1.405064+3 7.061969-3 1.343195+3 7.304088-3 1.287426+3 7.528678-3 1.236099+3 7.725555-3 1.190302+3 7.886331-3 1.152022+3 8.038981-3 1.114517+3 8.171271-3 1.080575+3 8.281805-3 1.050500+3 8.373388-3 1.023741+3 8.451330-3 9.992150+2 8.517950-3 9.764125+2 8.585192-3 9.507282+2 8.640760-3 9.263207+2 8.685140-3 9.038244+2 8.719123-3 8.844711+2 8.837175-3 8.120371+2 8.872373-3 7.965537+2 8.895884-3 7.901759+2 8.914749-3 7.877679+2 8.939505-3 7.884261+2 8.955071-3 7.909871+2 8.983397-3 7.993899+2 9.018707-3 8.149309+2 9.098876-3 8.566065+2 9.126428-3 8.693336+2 9.155582-3 8.809231+2 9.192581-3 8.927285+2 9.234162-3 9.025053+2 9.289147-3 9.109920+2 9.345274-3 9.158961+2 9.408898-3 9.181684+2 9.478044-3 9.175452+2 9.546921-3 9.141280+2 9.619687-3 9.075147+2 9.683501-3 8.988420+2 9.737106-3 8.891488+2 9.898243-3 8.538336+2 9.950452-3 8.480201+2 9.994820-3 8.482663+2 1.004473-2 8.540182+2 1.017364-2 8.788833+2 1.023746-2 8.869777+2 1.042555-2 8.966890+2 1.051289-2 9.083225+2 1.064593-2 9.320308+2 1.073549-2 9.439081+2 1.079542-2 9.492394+2 1.095797-2 9.569040+2 1.116746-2 9.591145+2 1.139101-2 9.566481+2 1.167095-2 9.491855+2 1.214534-2 9.297548+2 1.270300-2 9.013098+2 1.334328-2 8.656089+2 1.403838-2 8.256760+2 1.503088-2 7.699283+2 1.647910-2 6.949958+2 1.826752-2 6.149724+2 2.043037-2 5.347636+2 2.301129-2 4.578310+2 2.530737-2 4.017829+2 2.803340-2 3.465506+2 3.148057-2 2.906385+2 3.560042-2 2.397947+2 3.845967-2 2.115161+2 4.168694-2 1.844457+2 4.690833-2 1.496744+2 5.021602-2 1.321559+2 5.279322-2 1.200795+2 5.487506-2 1.109358+2 5.650173-2 1.039295+2 5.772244-2 9.853584+1 5.867031-2 9.403312+1 5.907062-2 9.193988+1 5.939389-2 9.009293+1 5.965920-2 8.842488+1 6.003204-2 8.579099+1 6.083276-2 7.970121+1 6.110476-2 7.822614+1 6.132051-2 7.756404+1 6.148276-2 7.740396+1 6.171658-2 7.766369+1 6.200043-2 7.859257+1 6.276856-2 8.203562+1 6.319349-2 8.335424+1 6.365868-2 8.415600+1 6.431842-2 8.455982+1 6.511215-2 8.444646+1 6.611599-2 8.382127+1 6.799477-2 8.199096+1 7.009805-2 7.946650+1 7.335273-2 7.516251+1 7.766437-2 6.945974+1 8.230788-2 6.371553+1 8.886894-2 5.648393+1 9.869902-2 4.753831+1 1.095714-1 3.975562+1 1.207656-1 3.347925+1 1.525561-1 2.191534+1 1.999033-1 1.335327+1 2.428862-1 9.277852+0 3.019952-1 6.125414+0 4.076002-1 3.432155+0 5.901161-1 1.667122+0 9.462712-1 6.580528-1 1.619761+0 2.266351-1 3.885536+0 3.956793-2 1.173413+1 4.341903-3 3.543651+1 4.761216-4 1.070165+2 5.220619-5 3.231848+2 5.724300-6 9.760024+2 6.276571-7 3.162278+3 5.978941-8 1.000000+4 5.978941-9 3.162278+4 5.97894-10 1.000000+5 5.97894-11 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.081800-6 1.258900-6 3.299400-6 1.584900-6 5.229200-6 1.995300-6 8.287800-6 2.511900-6 1.313500-5 3.162300-6 2.081800-5 3.981100-6 3.299400-5 5.011900-6 5.229100-5 6.309600-6 8.287600-5 7.943300-6 1.313500-4 1.000000-5 2.081700-4 1.258900-5 3.299200-4 1.584900-5 5.226400-4 1.995300-5 8.278200-4 2.511900-5 1.311300-3 3.162300-5 2.077500-3 3.981100-5 3.291700-3 5.011900-5 5.215800-3 6.309600-5 8.264800-3 7.943300-5 1.307800-2 1.000000-4 2.068700-2 1.258900-4 3.271200-2 1.584900-4 5.158100-2 1.995300-4 8.119900-2 2.511900-4 1.272800-1 3.162300-4 1.982700-1 3.981100-4 3.056600-1 5.011900-4 4.629700-1 6.309600-4 6.853100-1 7.943300-4 9.845500-1 1.000000-3 1.367500+0 1.258900-3 1.840500+0 1.584900-3 2.423000+0 1.995300-3 3.159100+0 2.511900-3 4.090100+0 3.162300-3 5.238000+0 3.981100-3 6.616400+0 5.011900-3 8.232100+0 6.309600-3 1.006000+1 7.943300-3 1.206900+1 1.000000-2 1.425000+1 1.258900-2 1.660000+1 1.584900-2 1.906200+1 1.995300-2 2.164100+1 2.511900-2 2.408200+1 3.162300-2 2.621500+1 3.981100-2 2.786100+1 5.011900-2 2.916900+1 6.309600-2 2.969700+1 7.943300-2 3.019100+1 1.000000-1 2.994800+1 1.258900-1 2.923500+1 1.584900-1 2.813800+1 1.995300-1 2.675000+1 2.511900-1 2.515600+1 3.162300-1 2.343500+1 3.981100-1 2.164400+1 5.011900-1 1.984100+1 6.309600-1 1.806300+1 7.943300-1 1.633300+1 1.000000+0 1.467600+1 1.258900+0 1.309800+1 1.584900+0 1.161400+1 1.995300+0 1.023000+1 2.511900+0 8.953300+0 3.162300+0 7.786700+0 3.981100+0 6.731800+0 5.011900+0 5.787100+0 6.309600+0 4.948700+0 7.943300+0 4.211600+0 1.000000+1 3.568400+0 1.258900+1 3.011100+0 1.584900+1 2.531600+0 1.995300+1 2.121400+0 2.511900+1 1.772200+0 3.162300+1 1.476600+0 3.981100+1 1.227300+0 5.011900+1 1.017800+0 6.309600+1 8.423600-1 7.943300+1 6.959100-1 1.000000+2 5.739600-1 1.258900+2 4.726700-1 1.584900+2 3.887100-1 1.995300+2 3.192700-1 2.511900+2 2.619200-1 3.162300+2 2.146400-1 3.981100+2 1.757100-1 5.011900+2 1.437100-1 6.309600+2 1.174400-1 7.943300+2 9.589000-2 1.000000+3 7.823500-2 1.258900+3 6.378400-2 1.584900+3 5.196700-2 1.995300+3 4.231200-2 2.511900+3 3.443000-2 3.162300+3 2.800000-2 3.981100+3 2.275800-2 5.011900+3 1.848800-2 6.309600+3 1.501200-2 7.943300+3 1.218300-2 1.000000+4 9.883000-3 1.258900+4 8.013700-3 1.584900+4 6.495200-3 1.995300+4 5.262300-3 2.511900+4 4.261800-3 3.162300+4 3.450300-3 3.981100+4 2.792200-3 5.011900+4 2.258900-3 6.309600+4 1.826900-3 7.943300+4 1.477000-3 1.000000+5 1.193700-3 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510165-4 3.162278-4 3.159556-4 3.981072-4 3.976775-4 5.011872-4 5.005106-4 6.309573-4 6.298947-4 7.943282-4 7.926648-4 1.000000-3 9.974012-4 1.258925-3 1.254881-3 1.584893-3 1.578569-3 1.995262-3 1.985356-3 2.511886-3 2.496306-3 3.162278-3 3.137792-3 3.981072-3 3.942667-3 5.011872-3 4.951769-3 6.309573-3 6.215787-3 7.943282-3 7.797288-3 1.000000-2 9.773042-3 1.258925-2 1.223666-2 1.584893-2 1.530120-2 1.995262-2 1.910693-2 2.511886-2 2.381909-2 3.162278-2 2.963996-2 3.981072-2 3.680814-2 5.011872-2 4.559812-2 6.309573-2 5.632639-2 7.943282-2 6.937662-2 1.000000-1 8.518463-2 1.258925-1 1.042637-1 1.584893-1 1.272035-1 1.995262-1 1.546785-1 2.511886-1 1.874618-1 3.162278-1 2.264553-1 3.981072-1 2.726692-1 5.011872-1 3.273183-1 6.309573-1 3.917923-1 7.943282-1 4.677912-1 1.000000+0 5.571053-1 1.258925+0 6.625212-1 1.584893+0 7.867837-1 1.995262+0 9.338661-1 2.511886+0 1.108443+0 3.162278+0 1.316131+0 3.981072+0 1.564089+0 5.011872+0 1.860974+0 6.309573+0 2.217272+0 7.943282+0 2.645693+0 1.000000+1 3.162302+0 1.258925+1 3.786333+0 1.584893+1 4.541529+0 1.995262+1 5.456764+0 2.511886+1 6.567431+0 3.162278+1 7.917449+0 3.981072+1 9.560077+0 5.011872+1 1.156088+1 6.309573+1 1.400047+1 7.943282+1 1.697813+1 1.000000+2 2.061548+1 1.258925+2 2.506264+1 1.584893+2 3.050430+1 1.995262+2 3.716793+1 2.511886+2 4.533291+1 3.162278+2 5.534556+1 3.981072+2 6.762996+1 5.011872+2 8.271315+1 6.309573+2 1.012428+2 7.943282+2 1.240183+2 1.000000+3 1.520272+2 1.258925+3 1.864905+2 1.584893+3 2.289193+2 1.995262+3 2.811743+2 2.511886+3 3.455529+2 3.162278+3 4.249368+2 3.981072+3 5.228209+2 5.011872+3 6.435824+2 6.309573+3 7.926433+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88200-10 1.995262-5 1.090635-9 2.511886-5 1.728511-9 3.162278-5 2.739533-9 3.981072-5 4.341908-9 5.011872-5 6.881430-9 6.309573-5 1.090602-8 7.943282-5 1.727772-8 1.000000-4 2.737620-8 1.258925-4 4.337558-8 1.584893-4 6.868633-8 1.995262-4 1.087628-7 2.511886-4 1.721227-7 3.162278-4 2.721501-7 3.981072-4 4.296340-7 5.011872-4 6.766225-7 6.309573-4 1.062653-6 7.943282-4 1.663389-6 1.000000-3 2.598761-6 1.258925-3 4.044883-6 1.584893-3 6.324201-6 1.995262-3 9.906706-6 2.511886-3 1.558073-5 3.162278-3 2.448600-5 3.981072-3 3.840470-5 5.011872-3 6.010343-5 6.309573-3 9.378631-5 7.943282-3 1.459939-4 1.000000-2 2.269580-4 1.258925-2 3.525935-4 1.584893-2 5.477307-4 1.995262-2 8.456902-4 2.511886-2 1.299775-3 3.162278-2 1.982812-3 3.981072-2 3.002580-3 5.011872-2 4.520604-3 6.309573-2 6.769345-3 7.943282-2 1.005621-2 1.000000-1 1.481537-2 1.258925-1 2.162887-2 1.584893-1 3.128584-2 1.995262-1 4.484775-2 2.511886-1 6.372683-2 3.162278-1 8.977242-2 3.981072-1 1.254379-1 5.011872-1 1.738690-1 6.309573-1 2.391650-1 7.943282-1 3.265370-1 1.000000+0 4.428947-1 1.258925+0 5.964042-1 1.584893+0 7.981095-1 1.995262+0 1.061396+0 2.511886+0 1.403443+0 3.162278+0 1.846147+0 3.981072+0 2.416983+0 5.011872+0 3.150898+0 6.309573+0 4.092302+0 7.943282+0 5.297589+0 1.000000+1 6.837698+0 1.258925+1 8.802921+0 1.584893+1 1.130740+1 1.995262+1 1.449586+1 2.511886+1 1.855143+1 3.162278+1 2.370533+1 3.981072+1 3.025064+1 5.011872+1 3.855784+1 6.309573+1 4.909527+1 7.943282+1 6.245470+1 1.000000+2 7.938452+1 1.258925+2 1.008299+2 1.584893+2 1.279850+2 1.995262+2 1.623583+2 2.511886+2 2.058557+2 3.162278+2 2.608822+2 3.981072+2 3.304772+2 5.011872+2 4.184741+2 6.309573+2 5.297145+2 7.943282+2 6.703099+2 1.000000+3 8.479728+2 1.258925+3 1.072435+3 1.584893+3 1.355974+3 1.995262+3 1.714088+3 2.511886+3 2.166334+3 3.162278+3 2.737341+3 3.981072+3 3.458251+3 5.011872+3 4.368290+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.610000-6 4.880360+6 5.900000-6 3.980660+6 6.531306-6 2.608388+6 7.244360-6 1.683900+6 8.035261-6 1.079388+6 8.912509-6 6.868192+5 9.670000-6 4.784409+5 9.670000-6 1.795121+6 9.772372-6 1.736552+6 9.885531-6 1.679624+6 1.011579-5 1.571181+6 1.047129-5 1.429891+6 1.085000-5 1.306876+6 1.109000-5 1.241509+6 1.109000-5 2.132760+6 1.122018-5 2.074733+6 1.135011-5 2.021264+6 1.165000-5 1.910431+6 1.180000-5 1.860725+6 1.202264-5 1.794229+6 1.230269-5 1.719720+6 1.244515-5 1.685638+6 1.273503-5 1.623461+6 1.290000-5 1.591564+6 1.303167-5 1.568427+6 1.320000-5 1.540006+6 1.333521-5 1.519276+6 1.370000-5 1.469876+6 1.380384-5 1.457344+6 1.396368-5 1.440099+6 1.420000-5 1.415799+6 1.428894-5 1.407609+6 1.462177-5 1.381139+6 1.470000-5 1.375218+6 1.480000-5 1.368421+6 1.515000-5 1.348458+6 1.531087-5 1.340721+6 1.570000-5 1.326280+6 1.590000-5 1.320552+6 1.630000-5 1.313045+6 1.640590-5 1.311811+6 1.650000-5 1.310801+6 1.690000-5 1.309778+6 1.698244-5 1.310099+6 1.717908-5 1.311019+6 1.750000-5 1.314773+6 1.757924-5 1.315759+6 1.778279-5 1.319486+6 1.800000-5 1.324915+6 1.830000-5 1.332592+6 1.850000-5 1.338811+6 1.862087-5 1.342626+6 1.905461-5 1.359263+6 1.950000-5 1.378738+6 1.980000-5 1.393787+6 2.000000-5 1.404765+6 2.041738-5 1.427814+6 2.055000-5 1.435888+6 2.065380-5 1.442243+6 2.113489-5 1.473999+6 2.150000-5 1.498240+6 2.162719-5 1.507363+6 2.170000-5 1.512919+6 2.238721-5 1.565710+6 2.270000-5 1.589907+6 2.300000-5 1.615854+6 2.371374-5 1.678121+6 2.375200-5 1.681610+6 2.426610-5 1.728765+6 2.454709-5 1.755998+6 2.500000-5 1.800220+6 2.540973-5 1.842000+6 2.630268-5 1.934190+6 2.650000-5 1.955489+6 2.660725-5 1.967111+6 2.786121-5 2.108607+6 2.851018-5 2.183225+6 2.985383-5 2.344429+6 3.001000-5 2.363443+6 3.001000-5 2.757852+7 3.010000-5 2.696571+7 3.040000-5 2.523581+7 3.080000-5 2.327743+7 3.135000-5 2.108390+7 3.190000-5 1.931088+7 3.245000-5 1.784389+7 3.311311-5 1.638376+7 3.388442-5 1.499737+7 3.400000-5 1.481708+7 3.470000-5 1.380092+7 3.589219-5 1.241665+7 3.630781-5 1.201837+7 3.644000-5 1.189744+7 3.644000-5 2.253606+7 3.680000-5 2.147657+7 3.715352-5 2.055745+7 3.720000-5 2.044111+7 3.730000-5 2.020492+7 3.760000-5 1.953272+7 3.830000-5 1.817160+7 3.900000-5 1.702867+7 3.935501-5 1.651890+7 3.981072-5 1.591350+7 4.000000-5 1.568414+7 4.073803-5 1.484544+7 4.168694-5 1.392761+7 4.180000-5 1.382599+7 4.216965-5 1.351448+7 4.315191-5 1.276848+7 4.466836-5 1.181565+7 4.500000-5 1.163093+7 4.518559-5 1.153330+7 4.650000-5 1.090701+7 4.800000-5 1.030695+7 4.841724-5 1.016006+7 5.011872-5 9.643360+6 5.150000-5 9.295979+6 5.188000-5 9.209918+6 5.432503-5 8.751580+6 5.500000-5 8.652414+6 5.559043-5 8.570505+6 5.888437-5 8.216657+6 5.990000-5 8.142599+6 5.990000-5 8.199818+6 6.000000-5 8.193018+6 6.025596-5 8.175009+6 6.110000-5 8.118159+6 6.220300-5 8.055821+6 6.309573-5 8.014403+6 6.330000-5 8.006326+6 6.450000-5 7.966266+6 6.456542-5 7.964430+6 6.531306-5 7.945701+6 6.539900-5 7.943516+6 6.580000-5 7.932089+6 6.683439-5 7.907789+6 6.690000-5 7.906576+6 6.800000-5 7.890165+6 6.839116-5 7.886017+6 6.950000-5 7.879149+6 7.000000-5 7.878058+6 7.079458-5 7.874786+6 7.244360-5 7.871643+6 7.413102-5 7.878527+6 7.500000-5 7.886417+6 7.585776-5 7.892263+6 7.673615-5 7.896631+6 7.800000-5 7.906003+6 7.852356-5 7.911361+6 8.000000-5 7.929324+6 8.128305-5 7.941034+6 8.150000-5 7.942414+6 8.222426-5 7.948083+6 8.413951-5 7.967165+6 8.511380-5 7.978573+6 8.609938-5 7.987445+6 8.650000-5 7.989770+6 8.912509-5 8.008432+6 9.015711-5 8.018255+6 9.225714-5 8.029897+6 9.300000-5 8.032024+6 9.332543-5 8.033224+6 9.440609-5 8.037616+6 9.549926-5 8.042559+6 9.660509-5 8.048403+6 9.800000-5 8.051851+6 9.900000-5 8.054694+6 1.000000-4 8.054475+6 1.020000-4 8.055815+6 1.023293-4 8.056228+6 1.040000-4 8.058601+6 1.071519-4 8.053176+6 1.080000-4 8.052041+6 1.083927-4 8.050555+6 1.122018-4 8.039566+6 1.135011-4 8.036326+6 1.150000-4 8.033515+6 1.161449-4 8.027492+6 1.174898-4 8.017665+6 1.190000-4 8.006880+6 1.194100-4 8.004098+6 1.244515-4 7.972453+6 1.260000-4 7.959444+6 1.303167-4 7.914361+6 1.318257-4 7.899366+6 1.333521-4 7.884620+6 1.350000-4 7.863183+6 1.364583-4 7.841396+6 1.400000-4 7.790221+6 1.430000-4 7.748541+6 1.450000-4 7.721610+6 1.500000-4 7.629318+6 1.548817-4 7.543917+6 1.566751-4 7.506176+6 1.603245-4 7.431524+6 1.621810-4 7.394428+6 1.640590-4 7.357656+6 1.659587-4 7.321175+6 1.720000-4 7.183745+6 1.737801-4 7.144670+6 1.800000-4 7.012875+6 1.844400-4 6.907936+6 1.844400-4 7.287669+6 1.850000-4 7.287195+6 1.852000-4 7.287123+6 1.883649-4 7.300419+6 1.885000-4 7.301381+6 1.900000-4 7.311498+6 1.905461-4 7.314749+6 1.910800-4 7.317456+6 1.920000-4 7.320750+6 1.927525-4 7.322085+6 1.930000-4 7.322369+6 1.937300-4 7.321127+6 1.937300-4 7.588251+6 1.940000-4 7.590230+6 1.944000-4 7.591847+6 1.950000-4 7.595588+6 1.960000-4 7.600229+6 1.970000-4 7.603368+6 1.974000-4 7.603373+6 1.980000-4 7.604031+6 1.990000-4 7.602264+6 2.000000-4 7.598024+6 2.010000-4 7.590301+6 2.015000-4 7.585365+6 2.020000-4 7.579820+6 2.025000-4 7.572968+6 2.035000-4 7.558161+6 2.041738-4 7.545225+6 2.045000-4 7.538598+6 2.050000-4 7.527472+6 2.055000-4 7.514223+6 2.065380-4 7.484901+6 2.075000-4 7.454321+6 2.080000-4 7.437577+6 2.085000-4 7.420115+6 2.089296-4 7.404345+6 2.095000-4 7.383590+6 2.102300-4 7.355596+6 2.110000-4 7.325197+6 2.124000-4 7.267644+6 2.128000-4 7.250668+6 2.137962-4 7.207580+6 2.150000-4 7.154766+6 2.162719-4 7.098331+6 2.170000-4 7.065847+6 2.187762-4 6.986076+6 2.190000-4 6.976209+6 2.205000-4 6.907732+6 2.213095-4 6.870962+6 2.220000-4 6.838248+6 2.238721-4 6.751755+6 2.240000-4 6.745958+6 2.270000-4 6.612012+6 2.300000-4 6.484018+6 2.317395-4 6.412319+6 2.344229-4 6.303215+6 2.350000-4 6.280645+6 2.371374-4 6.195967+6 2.380000-4 6.162673+6 2.400000-4 6.088151+6 2.415000-4 6.033793+6 2.450000-4 5.913506+6 2.454709-4 5.898042+6 2.480000-4 5.817351+6 2.500000-4 5.756471+6 2.511886-4 5.720107+6 2.540000-4 5.633800+6 2.540973-4 5.630894+6 2.570396-4 5.545861+6 2.580000-4 5.519410+6 2.600160-4 5.464727+6 2.628000-4 5.393000+6 2.630268-4 5.387326+6 2.650000-4 5.339036+6 2.660000-4 5.314870+6 2.660725-4 5.313157+6 2.691535-4 5.242199+6 2.722701-4 5.171768+6 2.754229-4 5.100625+6 2.760000-4 5.087945+6 2.786121-4 5.032207+6 2.800000-4 5.003421+6 2.818383-4 4.966343+6 2.840000-4 4.923956+6 2.851018-4 4.902954+6 2.890900-4 4.827105+6 2.900000-4 4.810356+6 2.917427-4 4.779040+6 2.930000-4 4.755655+6 2.951209-4 4.717229+6 2.980000-4 4.666701+6 3.019952-4 4.599511+6 3.030000-4 4.582297+6 3.054921-4 4.540687+6 3.090295-4 4.483456+6 3.100000-4 4.467383+6 3.200000-4 4.311795+6 3.235937-4 4.259811+6 3.240000-4 4.253833+6 3.273407-4 4.205173+6 3.349200-4 4.096128+6 3.349200-4 4.367137+6 3.350000-4 4.365993+6 3.427678-4 4.257795+6 3.430000-4 4.254580+6 3.467369-4 4.203578+6 3.548134-4 4.093605+6 3.550000-4 4.091163+6 3.672823-4 3.936131+6 3.700000-4 3.902180+6 3.715352-4 3.883445+6 3.780000-4 3.804100+6 3.801894-4 3.777850+6 3.860400-4 3.709364+6 3.860400-4 3.772237+6 3.890451-4 3.738314+6 3.935501-4 3.688182+6 3.981072-4 3.637224+6 4.027170-4 3.585711+6 4.073803-4 3.534662+6 4.168694-4 3.435298+6 4.216965-4 3.386676+6 4.265795-4 3.337437+6 4.315191-4 3.287862+6 4.365158-4 3.238772+6 4.466836-4 3.143238+6 4.518559-4 3.096421+6 4.570882-4 3.049128+6 4.650000-4 2.978423+6 4.700000-4 2.934875+6 4.700600-4 2.934355+6 4.710000-4 2.926231+6 4.710000-4 3.005161+6 4.841724-4 2.895284+6 4.850000-4 2.888550+6 4.897788-4 2.849641+6 4.954502-4 2.803339+6 5.011872-4 2.758168+6 5.069907-4 2.713927+6 5.080000-4 2.706257+6 5.188000-4 2.626192+6 5.190000-4 2.624732+6 5.248075-4 2.582898+6 5.308844-4 2.539728+6 5.370318-4 2.496432+6 5.400000-4 2.476063+6 5.432503-4 2.454126+6 5.559043-4 2.372080+6 5.580000-4 2.358687+6 5.623413-4 2.331005+6 5.821032-4 2.210821+6 5.888437-4 2.171649+6 5.956621-4 2.133166+6 6.000000-4 2.109376+6 6.025596-4 2.095395+6 6.100000-4 2.055135+6 6.165950-4 2.019822+6 6.237348-4 1.982881+6 6.309573-4 1.946769+6 6.350000-4 1.927107+6 6.382635-4 1.911485+6 6.456542-4 1.876437+6 6.683439-4 1.771839+6 6.760830-4 1.738574+6 6.850000-4 1.701307+6 6.918310-4 1.673273+6 7.000000-4 1.640695+6 7.079458-4 1.609343+6 7.161434-4 1.578081+6 7.244360-4 1.547265+6 7.328245-4 1.516769+6 7.585776-4 1.429442+6 7.673615-4 1.400853+6 7.852356-4 1.344716+6 8.035261-4 1.291194+6 8.128305-4 1.265138+6 8.200000-4 1.245690+6 8.222426-4 1.239629+6 8.317638-4 1.214031+6 8.413951-4 1.188898+6 8.511380-4 1.164381+6 8.609938-4 1.140419+6 8.709636-4 1.116814+6 8.912509-4 1.070716+6 9.015711-4 1.048165+6 9.120108-4 1.026127+6 9.200000-4 1.009723+6 9.225714-4 1.004485+6 9.332543-4 9.831505+5 9.660509-4 9.214471+5 9.740000-4 9.074744+5 9.772372-4 9.018443+5 9.885531-4 8.825033+5 1.000000-3 8.634802+5 1.011579-3 8.446270+5 1.023293-3 8.261518+5 1.059254-3 7.734386+5 1.071519-3 7.564681+5 1.096478-3 7.232064+5 1.110000-3 7.061480+5 1.122018-3 6.914674+5 1.135011-3 6.761272+5 1.161449-3 6.463232+5 1.174898-3 6.316975+5 1.190000-3 6.158387+5 1.216186-3 5.897733+5 1.230269-3 5.764813+5 1.244515-3 5.633908+5 1.258925-3 5.505671+5 1.273503-3 5.379130+5 1.288250-3 5.255235+5 1.303167-3 5.134083+5 1.318257-3 5.015773+5 1.333521-3 4.900472+5 1.364583-3 4.676604+5 1.380384-3 4.567639+5 1.396368-3 4.460891+5 1.412538-3 4.356457+5 1.428894-3 4.254413+5 1.445440-3 4.154832+5 1.450000-3 4.127966+5 1.462177-3 4.057006+5 1.479108-3 3.961485+5 1.496236-3 3.867374+5 1.500000-3 3.847159+5 1.528500-3 3.699354+5 1.528500-3 1.162261+6 1.548817-3 1.131610+6 1.566751-3 1.105496+6 1.570000-3 1.100858+6 1.575000-3 1.093759+6 1.578100-3 1.090411+6 1.578100-3 1.414552+6 1.589000-3 1.407145+6 1.603245-3 1.397813+6 1.610000-3 1.393524+6 1.620000-3 1.387286+6 1.621810-3 1.385202+6 1.625000-3 1.383146+6 1.660000-3 1.359973+6 1.678804-3 1.346362+6 1.690000-3 1.336590+6 1.698244-3 1.328333+6 1.705000-3 1.321713+6 1.717908-3 1.308766+6 1.730000-3 1.297035+6 1.737801-3 1.289667+6 1.757924-3 1.269386+6 1.778279-3 1.245243+6 1.780700-3 1.242434+6 1.800000-3 1.217789+6 1.819701-3 1.191715+6 1.850000-3 1.146741+6 1.862087-3 1.129480+6 1.883649-3 1.097632+6 1.905461-3 1.066681+6 1.927525-3 1.036617+6 1.935200-3 1.026415+6 1.935200-3 1.187425+6 1.949845-3 1.165764+6 1.950000-3 1.165537+6 2.000000-3 1.095611+6 2.018366-3 1.071865+6 2.020200-3 1.069535+6 2.041738-3 1.043520+6 2.089296-3 9.892264+5 2.090000-3 9.884458+5 2.113489-3 9.627187+5 2.137962-3 9.367341+5 2.150000-3 9.243026+5 2.160700-3 9.134516+5 2.160700-3 9.678064+5 2.162719-3 9.657309+5 2.176000-3 9.522423+5 2.187762-3 9.405309+5 2.209000-3 9.199147+5 2.213095-3 9.160355+5 2.220000-3 9.095437+5 2.238721-3 8.922695+5 2.250000-3 8.820158+5 2.290868-3 8.460710+5 2.317395-3 8.238946+5 2.317700-3 8.236416+5 2.344229-3 8.020709+5 2.368100-3 7.831801+5 2.368100-3 8.171743+5 2.371374-3 8.145804+5 2.398833-3 7.933010+5 2.426610-3 7.726169+5 2.454709-3 7.523781+5 2.483133-3 7.326988+5 2.511886-3 7.134158+5 2.517600-3 7.096402+5 2.540973-3 6.945018+5 2.570396-3 6.760911+5 2.600160-3 6.581987+5 2.630268-3 6.406218+5 2.660725-3 6.235402+5 2.691535-3 6.069610+5 2.720000-3 5.922063+5 2.722701-3 5.908335+5 2.754229-3 5.750752+5 2.786121-3 5.597639+5 2.800000-3 5.532716+5 2.818383-3 5.447447+5 2.851018-3 5.300579+5 2.917427-3 5.016752+5 2.920000-3 5.006210+5 2.951209-3 4.880764+5 3.000000-3 4.693578+5 3.054921-3 4.494192+5 3.126079-3 4.253847+5 3.150000-3 4.177077+5 3.162278-3 4.138408+5 3.198895-3 4.026170+5 3.235937-3 3.917030+5 3.273407-3 3.809760+5 3.311311-3 3.704999+5 3.349654-3 3.602484+5 3.388442-3 3.502933+5 3.427678-3 3.406306+5 3.507519-3 3.220723+5 3.548134-3 3.130679+5 3.589219-3 3.043300+5 3.672823-3 2.875279+5 3.715352-3 2.794880+5 3.758374-3 2.716573+5 3.801894-3 2.640587+5 3.845918-3 2.566840+5 3.900000-3 2.480260+5 3.981072-3 2.358148+5 4.000000-3 2.330901+5 4.027170-3 2.292452+5 4.073803-3 2.228416+5 4.168694-3 2.104976+5 4.216965-3 2.045229+5 4.315191-3 1.930925+5 4.365158-3 1.876262+5 4.415704-3 1.823130+5 4.466836-3 1.771584+5 4.500000-3 1.739254+5 4.518559-3 1.721444+5 4.623810-3 1.624705+5 4.677351-3 1.578164+5 4.731513-3 1.533024+5 4.786301-3 1.489232+5 4.841724-3 1.446717+5 4.897788-3 1.405433+5 4.954502-3 1.365386+5 5.000000-3 1.334407+5 5.069907-3 1.288588+5 5.128614-3 1.251850+5 5.248075-3 1.181229+5 5.300000-3 1.152069+5 5.308844-3 1.147183+5 5.370318-3 1.114003+5 5.495409-3 1.050640+5 5.559043-3 1.020376+5 5.623413-3 9.909903+4 5.688529-3 9.624672+4 5.754399-3 9.348068+4 5.800000-3 9.161463+4 5.888437-3 8.813018+4 5.956621-3 8.556920+4 6.000000-3 8.399397+4 6.025596-3 8.308398+4 6.095369-3 8.066807+4 6.309573-3 7.385001+4 6.382635-3 7.170580+4 6.456542-3 6.962305+4 6.531306-3 6.760368+4 6.606934-3 6.563697+4 6.683439-3 6.371665+4 6.760830-3 6.184866+4 6.839116-3 6.003751+4 7.161434-3 5.331034+4 7.244360-3 5.175086+4 7.300000-3 5.073971+4 7.328245-3 5.023688+4 7.413102-3 4.875899+4 7.498942-3 4.732084+4 7.673615-3 4.457643+4 7.762471-3 4.326667+4 7.852356-3 4.199337+4 8.128305-3 3.839009+4 8.222426-3 3.725971+4 8.317638-3 3.616128+4 8.413951-3 3.508868+4 8.609938-3 3.303518+4 8.709636-3 3.205553+4 8.810489-3 3.110432+4 8.933800-3 2.999520+4 8.933800-3 8.003595+4 9.015711-3 7.843402+4 9.090000-3 7.701992+4 9.120108-3 7.638819+4 9.225714-3 7.422965+4 9.332543-3 7.200077+4 9.440609-3 6.983980+4 9.549926-3 6.773850+4 9.660509-3 6.569922+4 9.800000-3 6.324646+4 9.885531-3 6.177762+4 9.992600-3 6.000437+4 9.992600-3 8.255501+4 1.000000-2 8.240127+4 1.025000-2 7.743338+4 1.035142-2 7.544405+4 1.045400-2 7.350330+4 1.045400-2 8.503223+4 1.059254-2 8.218582+4 1.060000-2 8.203614+4 1.071519-2 7.984149+4 1.080000-2 7.827816+4 1.083927-2 7.756858+4 1.088000-2 7.683379+4 1.096478-2 7.532663+4 1.110000-2 7.300827+4 1.122018-2 7.104981+4 1.135011-2 6.901588+4 1.148154-2 6.701451+4 1.161449-2 6.505338+4 1.188502-2 6.130589+4 1.202264-2 5.951588+4 1.216186-2 5.777693+4 1.230269-2 5.608928+4 1.244515-2 5.445226+4 1.258925-2 5.286359+4 1.273503-2 5.132748+4 1.273700-2 5.130697+4 1.288250-2 4.981242+4 1.303167-2 4.834107+4 1.318257-2 4.691438+4 1.348963-2 4.418900+4 1.350000-2 4.410092+4 1.364583-2 4.287921+4 1.380384-2 4.160694+4 1.413440-2 3.910067+4 1.428894-2 3.800146+4 1.445440-2 3.687176+4 1.450000-2 3.656757+4 1.479108-2 3.470509+4 1.513561-2 3.266854+4 1.531087-2 3.169448+4 1.548817-2 3.074914+4 1.566751-2 2.983180+4 1.584893-2 2.894214+4 1.640590-2 2.643356+4 1.650000-2 2.604029+4 1.659587-2 2.564458+4 1.678804-2 2.487543+4 1.730000-2 2.297752+4 1.737801-2 2.270318+4 1.757924-2 2.201636+4 1.778279-2 2.135009+4 1.798871-2 2.070409+4 1.819701-2 2.007808+4 1.883649-2 1.831280+4 1.905461-2 1.776048+4 1.972423-2 1.619124+4 1.995262-2 1.570049+4 2.000000-2 1.560118+4 2.018366-2 1.522439+4 2.041738-2 1.476310+4 2.065380-2 1.431606+4 2.089296-2 1.388277+4 2.150000-2 1.285545+4 2.162719-2 1.265358+4 2.187762-2 1.226885+4 2.213095-2 1.189270+4 2.238721-2 1.152831+4 2.264644-2 1.117462+4 2.290868-2 1.083169+4 2.300000-2 1.071573+4 2.344229-2 1.017621+4 2.371374-2 9.863616+3 2.400000-2 9.548179+3 2.426610-2 9.267401+3 2.483133-2 8.708085+3 2.500000-2 8.550325+3 2.511886-2 8.441089+3 2.540973-2 8.181410+3 2.570396-2 7.929889+3 2.600160-2 7.686041+3 2.630268-2 7.449891+3 2.691535-2 6.999681+3 2.722701-2 6.783534+3 2.754229-2 6.572924+3 2.818383-2 6.171537+3 2.851018-2 5.980293+3 2.884032-2 5.795114+3 2.900000-2 5.708404+3 2.917427-2 5.615749+3 2.951209-2 5.442006+3 3.000000-2 5.203533+3 3.054921-2 4.952108+3 3.090295-2 4.798432+3 3.162278-2 4.505526+3 3.198895-2 4.365316+3 3.235937-2 4.229571+3 3.273407-2 4.098150+3 3.311311-2 3.970907+3 3.349654-2 3.847123+3 3.388442-2 3.727248+3 3.500000-2 3.409612+3 3.507519-2 3.389553+3 3.548134-2 3.283393+3 3.589219-2 3.180622+3 3.672823-2 2.984792+3 3.758374-2 2.801262+3 3.801894-2 2.713869+3 3.890451-2 2.546828+3 3.935501-2 2.467224+3 3.981072-2 2.390121+3 4.000000-2 2.359069+3 4.073803-2 2.242752+3 4.120975-2 2.172540+3 4.168694-2 2.104001+3 4.265795-2 1.973453+3 4.315191-2 1.911306+3 4.415704-2 1.792931+3 4.518559-2 1.682040+3 4.623810-2 1.578073+3 4.677351-2 1.528548+3 4.731513-2 1.480494+3 4.841724-2 1.388944+3 4.897788-2 1.345226+3 5.069907-2 1.221263+3 5.128614-2 1.182585+3 5.188000-2 1.145151+3 5.308844-2 1.073868+3 5.370318-2 1.039917+3 5.559043-2 9.444912+2 5.623413-2 9.146859+2 5.800000-2 8.393033+2 5.821032-2 8.308922+2 5.888437-2 8.045076+2 5.956621-2 7.789285+2 6.025596-2 7.541164+2 6.144100-2 7.139610+2 6.144100-2 3.743910+3 6.189000-2 3.677912+3 6.237348-2 3.608677+3 6.309573-2 3.508647+3 6.340000-2 3.467683+3 6.382635-2 3.406289+3 6.550000-2 3.179237+3 6.683439-2 3.021858+3 6.760830-2 2.935553+3 6.800000-2 2.893184+3 6.918310-2 2.763769+3 7.000000-2 2.678897+3 7.244360-2 2.445514+3 7.328245-2 2.371874+3 7.413102-2 2.300459+3 7.498942-2 2.232208+3 7.585776-2 2.165990+3 7.673615-2 2.101746+3 7.852356-2 1.978910+3 8.035261-2 1.863257+3 8.222426-2 1.754386+3 8.317638-2 1.702303+3 8.511380-2 1.600649+3 8.609938-2 1.552129+3 8.912509-2 1.415239+3 9.015711-2 1.372356+3 9.120108-2 1.330777+3 9.549926-2 1.175342+3 9.660509-2 1.139416+3 9.772372-2 1.104592+3 9.800000-2 1.096217+3 9.885531-2 1.070805+3 1.023293-1 9.754886+2 1.047129-1 9.167171+2 1.059254-1 8.886775+2 1.122019-1 7.608611+2 1.161449-1 6.924407+2 1.174898-1 6.710329+2 1.202264-1 6.301470+2 1.230269-1 5.917560+2 1.244515-1 5.734482+2 1.288250-1 5.218520+2 1.318257-1 4.900661+2 1.333521-1 4.749126+2 1.348963-1 4.602275+2 1.380384-1 4.322143+2 1.396368-1 4.188551+2 1.412538-1 4.059089+2 1.428894-1 3.933647+2 1.479108-1 3.578734+2 1.513561-1 3.360131+2 1.531088-1 3.255894+2 1.566751-1 3.056957+2 1.584893-1 2.962099+2 1.603245-1 2.870187+2 1.640590-1 2.694849+2 1.659587-1 2.611248+2 1.678804-1 2.530268+2 1.698244-1 2.451828+2 1.737801-1 2.302182+2 1.778279-1 2.161684+2 1.819701-1 2.029770+2 1.862087-1 1.905920+2 1.905461-1 1.789636+2 1.927525-1 1.734187+2 1.972423-1 1.628403+2 1.995262-1 1.577962+2 2.000000-1 1.567769+2 2.018366-1 1.529108+2 2.041738-1 1.481771+2 2.113489-1 1.348427+2 2.137962-1 1.306705+2 2.213095-1 1.189132+2 2.238721-1 1.152344+2 2.264644-1 1.117043+2 2.290868-1 1.082826+2 2.317395-1 1.049659+2 2.344229-1 1.017520+2 2.371374-1 9.863665+1 2.400000-1 9.549138+1 2.426610-1 9.269067+1 2.454709-1 8.985486+1 2.483133-1 8.710595+1 2.511886-1 8.444094+1 2.540973-1 8.185747+1 2.570396-1 7.935319+1 2.600160-1 7.692831+1 2.630268-1 7.457784+1 2.660725-1 7.229923+1 2.722701-1 6.795051+1 2.786121-1 6.389791+1 2.818383-1 6.196400+1 2.884032-1 5.827017+1 2.917427-1 5.650678+1 2.951209-1 5.479679+1 2.985383-1 5.313919+1 3.000000-1 5.246185+1 3.019952-1 5.155640+1 3.090295-1 4.853324+1 3.126079-1 4.708888+1 3.162278-1 4.568964+1 3.198895-1 4.433207+1 3.273407-1 4.173783+1 3.311311-1 4.049826+1 3.388442-1 3.812872+1 3.467369-1 3.589892+1 3.507519-1 3.483347+1 3.548134-1 3.381796+1 3.589219-1 3.283207+1 3.630781-1 3.187538+1 3.672823-1 3.094699+1 3.715352-1 3.004729+1 3.758374-1 2.917384+1 3.845918-1 2.750302+1 3.890451-1 2.670396+1 4.027170-1 2.444348+1 4.073803-1 2.374656+1 4.120975-1 2.306981+1 4.168694-1 2.241279+1 4.216965-1 2.177474+1 4.265795-1 2.115487+1 4.315191-1 2.055388+1 4.365158-1 1.997000+1 4.415705-1 1.940276+1 4.466836-1 1.885166+1 4.518559-1 1.831622+1 4.570882-1 1.779598+1 4.623810-1 1.730106+1 4.731513-1 1.635215+1 4.786301-1 1.589768+1 4.841724-1 1.545585+1 4.897788-1 1.502631+1 4.954502-1 1.460975+1 5.011872-1 1.420475+1 5.069907-1 1.381101+1 5.128614-1 1.342835+1 5.188000-1 1.306466+1 5.248075-1 1.271084+1 5.308844-1 1.236661+1 5.370318-1 1.203171+1 5.432503-1 1.170609+1 5.559043-1 1.108112+1 5.623413-1 1.078204+1 5.688529-1 1.049115+1 5.754399-1 1.020822+1 5.821032-1 9.939085+0 5.956621-1 9.421947+0 6.025596-1 9.173560+0 6.095369-1 8.931788+0 6.165950-1 8.696523+0 6.237348-1 8.467567+0 6.309573-1 8.244639+0 6.382635-1 8.028231+0 6.456542-1 7.817511+0 6.531306-1 7.617217+0 6.606935-1 7.422064+0 6.683439-1 7.231915+0 6.760830-1 7.046657+0 6.839117-1 6.866244+0 6.998420-1 6.519385+0 7.079458-1 6.352666+0 7.161434-1 6.190616+0 7.244360-1 6.032700+0 7.413102-1 5.735854+0 7.498942-1 5.593027+0 7.585776-1 5.453770+0 7.673615-1 5.318004+0 7.762471-1 5.185696+0 7.943282-1 4.930966+0 8.035261-1 4.808682+0 8.128305-1 4.692472+0 8.222427-1 4.579071+0 8.511380-1 4.255065+0 8.609938-1 4.152301+0 8.709636-1 4.052057+0 8.810489-1 3.954362+0 8.912509-1 3.859318+0 9.015711-1 3.769155+0 9.120108-1 3.681099+0 9.225714-1 3.595162+0 9.332543-1 3.511234+0 9.440609-1 3.429338+0 9.549926-1 3.349353+0 9.660509-1 3.271254+0 9.772372-1 3.195036+0 9.885531-1 3.120899+0 1.000000+0 3.050530+0 1.011579+0 2.981817+0 1.023293+0 2.914647+0 1.035142+0 2.848996+0 1.047129+0 2.784820+0 1.059254+0 2.722132+0 1.071519+0 2.660857+0 1.083927+0 2.600967+0 1.096478+0 2.542428+0 1.122018+0 2.429412+0 1.135011+0 2.374943+0 1.148154+0 2.321697+0 1.161449+0 2.270853+0 1.174898+0 2.221122+0 1.188502+0 2.172483+0 1.202264+0 2.124907+0 1.216186+0 2.078403+0 1.230269+0 2.032918+0 1.244515+0 1.988438+0 1.250000+0 1.971706+0 1.258925+0 1.944953+0 1.273503+0 1.902453+0 1.288250+0 1.861015+0 1.318257+0 1.782972+0 1.333521+0 1.745213+0 1.348963+0 1.708250+0 1.364583+0 1.672072+0 1.380384+0 1.636661+0 1.396368+0 1.602006+0 1.412538+0 1.568099+0 1.428894+0 1.534933+0 1.445440+0 1.502468+0 1.462177+0 1.470792+0 1.479108+0 1.440648+0 1.513561+0 1.382222+0 1.531087+0 1.353904+0 1.548817+0 1.326165+0 1.584893+0 1.272393+0 1.621810+0 1.220837+0 1.640590+0 1.195929+0 1.678804+0 1.148982+0 1.698244+0 1.126206+0 1.717908+0 1.103891+0 1.737801+0 1.082029+0 1.757924+0 1.060602+0 1.778279+0 1.039604+0 1.798871+0 1.019020+0 1.819701+0 9.988594-1 1.840772+0 9.790978-1 1.862087+0 9.597930-1 1.883649+0 9.414269-1 1.905461+0 9.234119-1 1.927525+0 9.057439-1 1.949845+0 8.884214-1 1.972423+0 8.714419-1 2.000000+0 8.513958-1 2.018366+0 8.384533-1 2.044000+0 8.209072-1 2.065380+0 8.067274-1 2.089296+0 7.913242-1 2.113489+0 7.762634-1 2.162719+0 7.478336-1 2.187762+0 7.340131-1 2.213095+0 7.204536-1 2.238721+0 7.071528-1 2.290868+0 6.812827-1 2.344229+0 6.563644-1 2.371374+0 6.442582-1 2.426610+0 6.207866-1 2.483133+0 5.988198-1 2.511886+0 5.881307-1 2.540973+0 5.776365-1 2.570396+0 5.673361-1 2.630268+0 5.472831-1 2.691535+0 5.279427-1 2.722701+0 5.185374-1 2.786121+0 5.002855-1 2.851018+0 4.831692-1 2.884032+0 4.748324-1 2.917427+0 4.666432-1 2.951209+0 4.586001-1 3.019952+0 4.429270-1 3.090295+0 4.277930-1 3.126079+0 4.204264-1 3.198895+0 4.061182-1 3.273407+0 3.926837-1 3.311311+0 3.861347-1 3.349654+0 3.796975-1 3.427678+0 3.671506-1 3.507519+0 3.550183-1 3.589219+0 3.432895-1 3.630781+0 3.375752-1 3.715352+0 3.264673-1 3.801894+0 3.160293-1 3.845918+0 3.109366-1 3.890451+0 3.059281-1 4.000000+0 2.941839-1 4.073803+0 2.866990-1 4.168694+0 2.775444-1 4.265795+0 2.686883-1 4.365158+0 2.601425-1 4.466836+0 2.520993-1 4.518559+0 2.481719-1 4.570882+0 2.443072-1 4.677351+0 2.367619-1 4.786301+0 2.294496-1 4.897788+0 2.223647-1 5.011872+0 2.155034-1 5.128614+0 2.088754-1 5.248075+0 2.026299-1 5.308844+0 1.995780-1 5.370318+0 1.965730-1 5.495409+0 1.907017-1 5.688529+0 1.822218-1 5.821032+0 1.767801-1 6.000000+0 1.698748-1 6.165950+0 1.639022-1 6.309573+0 1.591528-1 6.382635+0 1.568301-1 6.456542+0 1.545423-1 6.606934+0 1.500687-1 6.839116+0 1.436001-1 7.000000+0 1.394040-1 7.161434+0 1.354115-1 7.328245+0 1.315083-1 7.498942+0 1.278175-1 7.585776+0 1.260119-1 7.673615+0 1.242318-1 7.943282+0 1.190437-1 8.413951+0 1.108737-1 8.709636+0 1.062442-1 8.912509+0 1.032679-1 9.015711+0 1.018111-1 9.120108+0 1.003798-1 9.225714+0 9.900952-2 9.332543+0 9.765860-2 9.440609+0 9.632691-2 1.000000+1 8.993598-2 1.011579+1 8.870981-2 1.071519+1 8.282515-2 1.122018+1 7.840234-2 1.135011+1 7.733399-2 1.148154+1 7.628309-2 1.161449+1 7.527092-2 1.174898+1 7.427226-2 1.188502+1 7.328734-2 1.244515+1 6.947790-2 1.258925+1 6.855696-2 1.273503+1 6.764828-2 1.348963+1 6.328260-2 1.412538+1 5.999575-2 1.428894+1 5.920109-2 1.445440+1 5.841890-2 1.462177+1 5.766392-2 1.479108+1 5.691868-2 1.500000+1 5.602413-2 1.584893+1 5.264806-2 1.621810+1 5.129705-2 1.640590+1 5.063468-2 1.737801+1 4.744910-2 1.800000+1 4.560349-2 1.819701+1 4.504687-2 1.840772+1 4.446691-2 1.862087+1 4.390586-2 1.883649+1 4.335189-2 1.905461+1 4.280494-2 1.927525+1 4.226506-2 2.089296+1 3.867298-2 2.162719+1 3.722852-2 2.187762+1 3.675913-2 2.200000+1 3.653386-2 2.213095+1 3.629572-2 2.317395+1 3.449980-2 2.371374+1 3.363587-2 2.400000+1 3.319428-2 2.426610+1 3.279448-2 2.454709+1 3.238988-2 2.483133+1 3.199029-2 2.511886+1 3.159565-2 2.540973+1 3.120598-2 2.851018+1 2.756521-2 2.951209+1 2.655818-2 2.985383+1 2.623074-2 3.019952+1 2.590738-2 3.198895+1 2.434941-2 3.273407+1 2.375304-2 3.349654+1 2.317129-2 3.388442+1 2.288633-2 3.467369+1 2.233636-2 3.507519+1 2.206635-2 3.548134+1 2.179962-2 3.589219+1 2.153619-2 4.073803+1 1.884095-2 4.216965+1 1.816631-2 4.265795+1 1.794684-2 4.315191+1 1.773004-2 4.365158+1 1.751587-2 4.623810+1 1.648319-2 4.731513+1 1.608754-2 4.841724+1 1.570138-2 4.897788+1 1.551216-2 5.069907+1 1.496683-2 5.128614+1 1.478936-2 5.188000+1 1.461403-2 5.888437+1 1.281775-2 6.237348+1 1.207596-2 6.382635+1 1.179141-2 6.606934+1 1.137713-2 6.760830+1 1.110907-2 7.852356+1 9.514125-3 7.943282+1 9.401409-3 8.222427+1 9.071211-3 8.413951+1 8.857549-3 8.511380+1 8.752762-3 8.709636+1 8.549457-3 8.810489+1 8.449588-3 8.912509+1 8.350887-3 9.772372+1 7.601930-3 1.011579+2 7.338728-3 1.035142+2 7.168339-3 1.096478+2 6.759502-3 1.135011+2 6.525479-3 1.462177+2 5.039610-3 1.479108+2 4.980768-3 1.500000+2 4.910025-3 1.548817+2 4.752235-3 1.603245+2 4.587747-3 1.621810+2 4.534241-3 1.659587+2 4.429939-3 1.678804+2 4.378692-3 1.698244+2 4.328039-3 1.717908+2 4.277986-3 1.883649+2 3.897835-3 1.972423+2 3.720621-3 2.041738+2 3.593019-3 2.187762+2 3.350803-3 2.264644+2 3.235891-3 2.917427+2 2.505277-3 2.951209+2 2.476304-3 2.985383+2 2.447671-3 3.090295+2 2.363743-3 3.198895+2 2.282692-3 3.235937+2 2.256314-3 3.311311+2 2.204747-3 3.349654+2 2.179407-3 3.388442+2 2.154358-3 3.427678+2 2.129602-3 3.758374+2 1.941523-3 3.935501+2 1.853806-3 4.073803+2 1.790630-3 4.365158+2 1.670666-3 4.518559+2 1.613733-3 1.161449+3 6.255238-4 1.174898+3 6.183359-4 1.188502+3 6.112316-4 1.230269+3 5.904032-4 1.273503+3 5.702849-4 1.288250+3 5.637342-4 1.318257+3 5.508935-4 1.333521+3 5.445836-4 1.348963+3 5.383455-4 1.364583+3 5.321797-4 1.496236+3 4.853278-4 1.566751+3 4.634723-4 1.621810+3 4.477290-4 1.737801+3 4.178288-4 1.798871+3 4.036361-4 3.672823+4 1.973608-5 3.715352+4 1.951003-5 3.758374+4 1.928658-5 3.890451+4 1.863148-5 4.027170+4 1.799862-5 4.073803+4 1.779249-5 8.128305+4 8.917998-6 1.000000+5 7.248976-6 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.610000-6 5.610000-6 9.670000-6 5.610000-6 9.670000-6 8.587917-6 1.109000-5 8.824504-6 1.109000-5 9.771224-6 1.333521-5 9.953005-6 1.570000-5 1.006749-5 1.862087-5 1.012768-5 3.001000-5 1.017344-5 3.001000-5 2.831003-5 3.311311-5 2.667873-5 3.644000-5 2.470998-5 3.644000-5 3.024738-5 3.900000-5 2.856023-5 4.650000-5 2.395723-5 5.011872-5 2.183326-5 5.188000-5 2.086317-5 5.500000-5 1.926845-5 5.559043-5 1.899011-5 5.888437-5 1.756346-5 5.990000-5 1.716775-5 5.990000-5 1.746594-5 6.220300-5 1.663922-5 6.456542-5 1.589717-5 6.690000-5 1.526598-5 6.950000-5 1.466950-5 7.079458-5 1.440815-5 7.413102-5 1.383457-5 7.673615-5 1.347027-5 8.000000-5 1.309201-5 8.413951-5 1.271792-5 8.912509-5 1.237901-5 9.440609-5 1.211794-5 1.000000-4 1.191207-5 1.080000-4 1.170392-5 1.190000-4 1.151609-5 1.333521-4 1.136738-5 1.548817-4 1.125026-5 1.844400-4 1.117839-5 1.844400-4 1.204484-5 1.937300-4 1.258992-5 1.937300-4 1.320692-5 1.990000-4 1.352335-5 2.025000-4 1.365762-5 2.065380-4 1.371591-5 2.110000-4 1.366215-5 2.170000-4 1.346577-5 2.317395-4 1.287112-5 2.415000-4 1.255632-5 2.511886-4 1.234106-5 2.600160-4 1.223520-5 2.691535-4 1.219674-5 2.800000-4 1.223126-5 2.951209-4 1.238135-5 3.100000-4 1.260490-5 3.349200-4 1.307576-5 3.349200-4 1.513549-5 3.860400-4 1.632394-5 3.860400-4 1.690330-5 4.570882-4 1.860712-5 4.710000-4 1.892348-5 4.710000-4 2.017496-5 5.308844-4 2.153468-5 6.025596-4 2.297227-5 6.683439-4 2.415368-5 7.328245-4 2.517086-5 8.317638-4 2.654249-5 9.332543-4 2.774906-5 1.023293-3 2.868133-5 1.135011-3 2.969955-5 1.288250-3 3.089197-5 1.479108-3 3.214327-5 1.528500-3 3.243128-5 1.528500-3 4.637002-5 1.578100-3 4.647604-5 1.578100-3 4.921663-5 1.737801-3 5.029341-5 1.819701-3 5.059168-5 1.935200-3 5.064082-5 1.935200-3 5.469829-5 2.090000-3 5.494154-5 2.160700-3 5.509043-5 2.160700-3 5.698164-5 2.368100-3 5.760838-5 2.368100-3 5.960732-5 3.054921-3 6.184611-5 3.900000-3 6.407765-5 4.954502-3 6.632148-5 6.095369-3 6.827101-5 7.498942-3 7.020016-5 8.933800-3 7.180294-5 8.933800-3 9.334022-5 9.885531-3 9.375924-5 9.992600-3 9.378578-5 9.992600-3 9.918455-5 1.045400-2 9.934804-5 1.045400-2 1.054631-4 1.479108-2 1.079626-4 2.089296-2 1.104881-4 2.951209-2 1.130099-4 4.073803-2 1.153494-4 5.623413-2 1.175683-4 6.144100-2 1.181479-4 6.144100-2 1.103318-4 1.603245-1 1.109660-4 4.954502-1 1.113747-4 1.000000+5 1.114487-4 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.610000-6 0.0 1.937300-4 0.0 1.937300-4 7.14994-10 1.944000-4 7.30092-10 1.950000-4 7.46546-10 1.960000-4 7.78702-10 1.974000-4 8.31534-10 1.990000-4 8.99205-10 2.020000-4 1.032867-9 2.025000-4 1.054720-9 2.035000-4 1.095158-9 2.045000-4 1.132164-9 2.055000-4 1.164899-9 2.065380-4 1.193918-9 2.075000-4 1.215850-9 2.085000-4 1.233510-9 2.095000-4 1.246049-9 2.110000-4 1.255937-9 2.124000-4 1.256683-9 2.137962-4 1.250529-9 2.150000-4 1.240684-9 2.170000-4 1.216950-9 2.190000-4 1.186725-9 2.220000-4 1.133680-9 2.240000-4 1.096674-9 2.317395-4 9.43439-10 2.350000-4 8.81945-10 2.380000-4 8.27774-10 2.415000-4 7.69007-10 2.454709-4 7.07670-10 2.480000-4 6.73490-10 2.500000-4 6.47687-10 2.540973-4 6.03306-10 2.570396-4 5.76533-10 2.600160-4 5.53690-10 2.630268-4 5.34606-10 2.660725-4 5.19289-10 2.691535-4 5.07556-10 2.722701-4 4.99521-10 2.760000-4 4.94941-10 2.786121-4 4.93763-10 2.818383-4 4.95364-10 2.851018-4 4.99819-10 2.890900-4 5.09027-10 2.930000-4 5.21527-10 2.980000-4 5.42072-10 3.030000-4 5.66772-10 3.100000-4 6.07592-10 3.200000-4 6.75475-10 3.273407-4 7.30359-10 3.349200-4 7.91066-10 3.349200-4 1.634349-9 3.467369-4 1.743412-9 3.715352-4 1.985307-9 3.860400-4 2.132493-9 3.860400-4 2.573705-9 4.216965-4 2.967423-9 4.570882-4 3.347596-9 4.710000-4 3.493456-9 4.710000-4 4.052493-9 5.080000-4 4.448381-9 5.432503-4 4.802396-9 5.888437-4 5.231038-9 6.382635-4 5.662333-9 6.850000-4 6.034338-9 7.328245-4 6.385454-9 8.035261-4 6.858358-9 8.709636-4 7.262380-9 9.332543-4 7.603776-9 1.023293-3 8.046272-9 1.135011-3 8.532876-9 1.244515-3 8.947694-9 1.380384-3 9.399367-9 1.500000-3 9.753831-9 1.528500-3 9.833289-9 1.528500-3 1.011328-8 1.578100-3 1.015597-8 1.578100-3 3.303659-6 1.625000-3 3.569361-6 1.660000-3 3.757962-6 1.678804-3 3.866002-6 1.737801-3 4.275428-6 1.757924-3 4.399801-6 1.780700-3 4.500895-6 1.800000-3 4.564533-6 1.819701-3 4.614407-6 1.862087-3 4.642337-6 1.935200-3 4.632118-6 1.935200-3 4.597240-6 2.160700-3 4.571199-6 2.160700-3 5.046101-6 2.368100-3 5.083491-6 2.368100-3 5.236990-6 2.722701-3 5.307131-6 3.715352-3 5.464307-6 5.000000-3 5.613543-6 6.683439-3 5.762026-6 8.317638-3 5.871138-6 8.933800-3 5.909565-6 8.933800-3 1.097365-3 9.120108-3 1.102106-3 9.992600-3 1.101094-3 9.992600-3 1.463578-3 1.045400-2 1.467774-3 1.045400-2 1.538999-3 1.380384-2 1.554698-3 2.089296-2 1.567850-3 3.589219-2 1.575889-3 6.144100-2 1.579064-3 6.144100-2 4.309047-2 6.918310-2 4.336886-2 9.120108-2 4.380168-2 1.333521-1 4.416111-2 2.137962-1 4.439373-2 5.956621-1 4.467038-2 1.188502+0 4.482710-2 1.000000+5 4.481797-2 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.610000-6 0.0 9.670000-6 4.060000-6 9.670000-6 1.082083-6 9.772372-6 1.169941-6 1.109000-5 2.265496-6 1.109000-5 1.318776-6 1.244515-5 2.557156-6 1.333521-5 3.382205-6 1.470000-5 4.671345-6 1.650000-5 6.408941-6 2.000000-5 9.860337-6 3.001000-5 1.983656-5 3.001000-5 1.699967-6 3.080000-5 2.886519-6 3.190000-5 4.557913-6 3.311311-5 6.434378-6 3.470000-5 8.937433-6 3.644000-5 1.173002-5 3.644000-5 6.192620-6 3.730000-5 7.644924-6 3.900000-5 1.043977-5 4.650000-5 2.254277-5 5.011872-5 2.828546-5 5.188000-5 3.101683-5 5.559043-5 3.660032-5 5.990000-5 4.273225-5 5.990000-5 4.243406-5 6.330000-5 4.701905-5 6.690000-5 5.163402-5 7.244360-5 5.833286-5 7.852356-5 6.526992-5 8.650000-5 7.395468-5 1.023293-4 9.048626-5 1.430000-4 1.316956-4 1.844400-4 1.732616-4 1.844400-4 1.723952-4 1.937300-4 1.811401-4 1.937300-4 1.805224-4 2.095000-4 1.958069-4 2.600160-4 2.477803-4 3.349200-4 3.218435-4 3.349200-4 3.197829-4 3.860400-4 3.697139-4 3.860400-4 3.691341-4 4.710000-4 4.520730-4 4.710000-4 4.508210-4 8.709636-4 8.439272-4 1.528500-3 1.496059-3 1.528500-3 1.482120-3 1.578100-3 1.531614-3 1.578100-3 1.525580-3 1.935200-3 1.879927-3 1.935200-3 1.875905-3 2.160700-3 2.101038-3 2.160700-3 2.098672-3 7.498942-3 7.422922-3 8.933800-3 8.856088-3 8.933800-3 7.743095-3 9.992600-3 8.797720-3 9.992600-3 8.429838-3 1.045400-2 8.886878-3 1.045400-2 8.809538-3 3.672823-2 3.503748-2 6.144100-2 5.974379-2 6.144100-2 1.824019-2 6.382635-2 2.050552-2 7.000000-2 2.650286-2 9.120108-2 4.728878-2 1.479108-1 1.035699-1 5.495409+0 5.450479+0 1.000000+5 9.999996+4 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 6.144100-2 3.029949+3 6.340000-2 2.813908+3 6.550000-2 2.582520+3 6.800000-2 2.355840+3 7.413102-2 1.878856+3 8.317638-2 1.397169+3 9.120108-2 1.095448+3 1.122019-1 6.296157+2 1.428894-1 3.269371+2 2.238721-1 9.621152+1 2.722701-1 5.680858+1 2.985383-1 4.444987+1 3.507519-1 2.916685+1 4.027170-1 2.048404+1 4.570882-1 1.492453+1 5.128614-1 1.126927+1 5.754399-1 8.573176+0 6.456542-1 6.570365+0 7.244360-1 5.074087+0 8.035261-1 4.047454+0 8.912509-1 3.250988+0 9.885531-1 2.630529+0 1.148154+0 1.957442+0 1.288250+0 1.569000+0 1.462177+0 1.239812+0 1.640590+0 1.008044+0 1.862087+0 8.090159-1 2.113489+0 6.543282-1 2.426610+0 5.232624-1 2.786121+0 4.216959-1 3.198895+0 3.423225-1 3.715352+0 2.751845-1 4.365158+0 2.192780-1 5.128614+0 1.760640-1 6.165950+0 1.381551-1 7.328245+0 1.108518-1 9.120108+0 8.461462-2 1.148154+1 6.430238-2 1.445440+1 4.924412-2 1.840772+1 3.748337-2 2.426610+1 2.764438-2 3.388442+1 1.929214-2 4.897788+1 1.307614-2 8.511380+1 7.378230-3 1.621810+2 3.822230-3 3.235937+2 1.902022-3 1.288250+3 4.752183-4 4.073803+4 1.499866-5 1.000000+5 6.110800-6 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 6.144100-2 1.084900-4 1.000000+5 1.084900-4 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.144100-2 5.287200-2 1.000000+5 5.287200-2 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.144100-2 8.460510-3 1.000000+5 9.999995+4 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.045400-2 1.152893+4 1.060000-2 1.117737+4 1.088000-2 1.070638+4 1.110000-2 1.033500+4 1.148154-2 9.791219+3 1.258925-2 8.311429+3 1.350000-2 7.367560+3 1.445440-2 6.496491+3 1.548817-2 5.697610+3 1.650000-2 5.066880+3 2.089296-2 3.179467+3 2.300000-2 2.609520+3 2.691535-2 1.878193+3 3.162278-2 1.324565+3 3.507519-2 1.053194+3 4.120975-2 7.313319+2 4.897788-2 4.896859+2 5.821032-2 3.246507+2 6.918310-2 2.132518+2 8.222426-2 1.389128+2 9.800000-2 8.917000+1 1.174898-1 5.600224+1 1.531088-1 2.814038+1 2.570396-1 7.263191+0 3.126079-1 4.383062+0 3.672823-1 2.912007+0 4.265795-1 2.007040+0 4.897788-1 1.434394+0 5.559043-1 1.062529+0 6.309573-1 7.932491-1 7.079458-1 6.125295-1 7.943282-1 4.761890-1 8.810489-1 3.822107-1 9.772372-1 3.089573-1 1.122018+0 2.349235-1 1.273503+0 1.840000-1 1.445440+0 1.452965-1 1.621810+0 1.180564-1 1.840772+0 9.467918-2 2.089296+0 7.652038-2 2.371374+0 6.228402-2 2.722701+0 5.013047-2 3.126079+0 4.064616-2 3.630781+0 3.263610-2 4.265795+0 2.597648-2 5.011872+0 2.083542-2 6.000000+0 1.642400-2 7.161434+0 1.309146-2 9.015711+0 9.844845-3 1.135011+1 7.478445-3 1.428894+1 5.724979-3 1.819701+1 4.356338-3 2.400000+1 3.210200-3 3.349654+1 2.240881-3 4.841724+1 1.518402-3 8.413951+1 8.566317-4 1.603245+2 4.437017-4 3.198895+2 2.207729-4 1.273503+3 5.515796-5 4.027170+4 1.740796-6 1.000000+5 7.011400-7 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.045400-2 1.444500-4 1.000000+5 1.444500-4 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.045400-2 1.993100-3 1.000000+5 1.993100-3 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.045400-2 8.316450-3 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 9.992600-3 2.255064+4 1.025000-2 2.141800+4 1.083927-2 1.863700+4 1.273700-2 1.224700+4 1.380384-2 9.865000+3 1.548817-2 7.199900+3 1.905461-2 4.055800+3 2.238721-2 2.559600+3 2.500000-2 1.862000+3 3.054921-2 1.033900+3 3.801894-2 5.378300+2 4.677351-2 2.868400+2 5.888437-2 1.414500+2 7.852356-2 5.794600+1 1.318257-1 1.154736+1 1.659587-1 5.675181+0 2.041738-1 3.017718+0 2.400000-1 1.856885+0 2.786121-1 1.195031+0 3.198895-1 8.004129-1 3.630781-1 5.582682-1 4.073803-1 4.050429-1 4.570882-1 2.959619-1 5.128614-1 2.179548-1 5.688529-1 1.666140-1 6.309573-1 1.282169-1 6.998420-1 9.935586-2 7.762471-1 7.755278-2 8.709636-1 5.924375-2 9.332543-1 5.071764-2 1.000000+0 4.372158-2 1.096478+0 3.623373-2 1.202264+0 3.025266-2 1.318257+0 2.543483-2 1.479108+0 2.063898-2 1.717908+0 1.582098-2 1.949845+0 1.272887-2 2.213095+0 1.032424-2 2.540973+0 8.278452-3 2.917427+0 6.687757-3 3.349654+0 5.441426-3 3.890451+0 4.384221-3 4.570882+0 3.501307-3 5.370318+0 2.817195-3 6.456542+0 2.214899-3 7.673615+0 1.780662-3 9.332543+0 1.400101-3 1.188502+1 1.050566-3 1.500000+1 8.031900-4 1.927525+1 6.058882-4 2.540973+1 4.473213-4 3.589219+1 3.087166-4 5.188000+1 2.095026-4 8.912509+1 1.197387-4 1.698244+2 6.206536-5 3.388442+2 3.089482-5 1.348963+3 7.720579-6 1.000000+5 1.039700-7 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 9.992600-3 1.135500-4 1.000000+5 1.135500-4 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 9.992600-3 2.428100-3 1.000000+5 2.428100-3 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 9.992600-3 7.450950-3 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 8.933800-3 5.004075+4 9.090000-3 4.835240+4 9.225714-3 4.665061+4 9.800000-3 3.971028+4 1.135011-2 2.653359+4 1.273503-2 1.915712+4 1.513561-2 1.162699+4 1.730000-2 7.881640+3 2.187762-2 3.898146+3 2.722701-2 1.991659+3 3.311311-2 1.079815+3 4.000000-2 5.924640+2 4.841724-2 3.203374+2 5.956621-2 1.630684+2 7.673615-2 7.084120+1 1.348963-1 1.092205+1 1.678804-1 5.314323+0 2.000000-1 3.007659+0 2.317395-1 1.876148+0 2.660725-1 1.213609+0 3.019952-1 8.201726-1 3.388442-1 5.785315-1 3.758374-1 4.253545-1 4.168694-1 3.148482-1 4.570882-1 2.424871-1 5.069907-1 1.821250-1 5.623413-1 1.378740-1 6.165950-1 1.083950-1 6.760830-1 8.578870-2 7.413102-1 6.835003-2 8.511380-1 4.909939-2 9.120108-1 4.186101-2 9.772372-1 3.594472-2 1.047129+0 3.111396-2 1.148154+0 2.586823-2 1.258925+0 2.167096-2 1.396368+0 1.790911-2 1.698244+0 1.263806-2 1.927525+0 1.015895-2 2.187762+0 8.232060-3 2.511886+0 6.595977-3 2.884032+0 5.325375-3 3.311311+0 4.330487-3 3.845918+0 3.487164-3 4.518559+0 2.783356-3 5.308844+0 2.238335-3 6.382635+0 1.758942-3 7.498942+0 1.433892-3 9.225714+0 1.110894-3 1.174898+1 8.332372-4 1.479108+1 6.385997-4 1.905461+1 4.801979-4 2.511886+1 3.544330-4 3.548134+1 2.445459-4 5.128614+1 1.659085-4 8.912509+1 9.369489-5 1.698244+2 4.856454-5 3.388442+2 2.417400-5 1.348963+3 6.041260-6 1.000000+5 8.135400-8 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 8.933800-3 1.062500-4 1.000000+5 1.062500-4 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 8.933800-3 1.751600-3 1.000000+5 1.751600-3 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 8.933800-3 7.075950-3 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.368100-3 3.399425+4 2.483133-3 3.216940+4 2.660725-3 2.934899+4 2.786121-3 2.767563+4 2.920000-3 2.590840+4 3.507519-3 1.980860+4 4.027170-3 1.607533+4 4.365158-3 1.411832+4 5.248075-3 1.040681+4 5.888437-3 8.526516+3 6.839116-3 6.543354+3 8.128305-3 4.767815+3 9.225714-3 3.757056+3 1.080000-2 2.774620+3 1.288250-2 1.958626+3 1.531087-2 1.380374+3 1.819701-2 9.646542+2 2.150000-2 6.770420+2 2.511886-2 4.832309+2 2.951209-2 3.383035+2 3.500000-2 2.301520+2 4.120975-2 1.579162+2 4.897788-2 1.051888+2 5.800000-2 7.012000+1 6.918310-2 4.557643+1 8.317638-2 2.882126+1 9.885531-2 1.862675+1 1.244515-1 1.032193+1 1.584893-1 5.513843+0 2.426610-1 1.814081+0 3.019952-1 1.031921+0 3.589219-1 6.655264-1 4.120975-1 4.716572-1 4.731513-1 3.367422-1 5.370318-1 2.490172-1 6.095369-1 1.855357-1 6.839117-1 1.430221-1 7.673615-1 1.110146-1 8.709636-1 8.466013-2 9.660509-1 6.833066-2 1.096478+0 5.309822-2 1.250000+0 4.118291-2 1.412538+0 3.274875-2 1.584893+0 2.657296-2 1.798871+0 2.127989-2 2.044000+0 1.714398-2 2.344229+0 1.370761-2 2.691535+0 1.102572-2 3.090295+0 8.934171-3 3.589219+0 7.169245-3 4.168694+0 5.795456-3 4.897788+0 4.643508-3 5.821032+0 3.691327-3 7.000000+0 2.911000-3 8.709636+0 2.218596-3 1.071519+1 1.729496-3 1.348963+1 1.321389-3 1.737801+1 9.909229-4 2.317395+1 7.205817-4 3.198895+1 5.085574-4 4.623810+1 3.442769-4 7.852356+1 1.987067-4 1.479108+2 1.040317-4 2.951209+2 5.173288-5 1.174898+3 1.291917-5 3.715352+4 4.076582-7 1.000000+5 1.514900-7 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.368100-3 1.056600-4 1.000000+5 1.056600-4 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.368100-3 8.773400-6 1.000000+5 8.773400-6 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.368100-3 2.253667-3 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 2.160700-3 5.435478+4 2.209000-3 5.320687+4 2.250000-3 5.244425+4 2.344229-3 5.025345+4 2.483133-3 4.713199+4 2.600160-3 4.448464+4 2.851018-3 3.929635+4 3.126079-3 3.445146+4 3.427678-3 2.994700+4 3.715352-3 2.628832+4 4.000000-3 2.316720+4 4.623810-3 1.790318+4 5.000000-3 1.547016+4 5.754399-3 1.175874+4 6.309573-3 9.759908+3 7.161434-3 7.481246+3 7.852356-3 6.133671+3 9.015711-3 4.507500+3 1.000000-2 3.553840+3 1.135011-2 2.637801+3 1.288250-2 1.941512+3 1.450000-2 1.448420+3 1.659587-2 1.028635+3 1.905461-2 7.187581+2 2.187762-2 4.982950+2 2.511886-2 3.428802+2 2.900000-2 2.307200+2 3.388442-2 1.489994+2 3.935501-2 9.714844+1 4.623810-2 6.085599+1 5.559043-2 3.537570+1 6.760830-2 1.972628+1 8.609938-2 9.509889+0 1.603245-1 1.437079+0 1.995262-1 7.440586-1 2.483133-1 3.960702-1 2.722701-1 3.019029-1 2.951209-1 2.363289-1 3.388442-1 1.594208-1 3.845918-1 1.119152-1 4.365158-1 7.916191-2 4.897788-1 5.821098-2 5.432503-1 4.443761-2 6.025596-1 3.414774-2 6.683439-1 2.642342-2 7.413102-1 2.059029-2 8.609938-1 1.450449-2 9.332543-1 1.209867-2 1.000000+0 1.043214-2 1.096478+0 8.646311-3 1.202264+0 7.219020-3 1.318257+0 6.068913-3 1.479108+0 4.923901-3 1.717908+0 3.774409-3 1.949845+0 3.036433-3 2.213095+0 2.462230-3 2.540973+0 1.974115-3 2.917427+0 1.594753-3 3.349654+0 1.297565-3 3.890451+0 1.045479-3 4.570882+0 8.349434-4 5.370318+0 6.717932-4 6.456542+0 5.281679-4 7.673615+0 4.246216-4 9.332543+0 3.338803-4 1.174898+1 2.539271-4 1.479108+1 1.946148-4 1.883649+1 1.482309-4 2.483133+1 1.093729-4 3.507519+1 7.544263-5 5.069907+1 5.117163-5 8.709636+1 2.923558-5 1.678804+2 1.497392-5 3.349654+2 7.453004-6 1.333521+3 1.862494-6 1.000000+5 2.479300-8 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 2.160700-3 8.876400-5 1.000000+5 8.876400-5 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.160700-3 1.302700-5 1.000000+5 1.302700-5 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.160700-3 2.058909-3 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 1.935200-3 1.610104+5 2.000000-3 1.500155+5 2.020200-3 1.472955+5 2.090000-3 1.409840+5 2.238721-3 1.279237+5 2.426610-3 1.129292+5 2.722701-3 9.366265+4 3.000000-3 7.942720+4 3.273407-3 6.798427+4 3.507519-3 5.978373+4 4.168694-3 4.281791+4 4.518559-3 3.638573+4 5.248075-3 2.659553+4 5.754399-3 2.178820+4 6.606934-3 1.600374+4 7.328245-3 1.260839+4 8.317638-3 9.349837+3 9.440609-3 6.873221+3 1.059254-2 5.160255+3 1.202264-2 3.736187+3 1.364583-2 2.684228+3 1.548817-2 1.914187+3 1.757924-2 1.355394+3 1.995262-2 9.531434+2 2.264644-2 6.658716+2 2.570396-2 4.622163+2 2.951209-2 3.081764+2 3.388442-2 2.040658+2 3.890451-2 1.342485+2 4.518559-2 8.470481+1 5.308844-2 5.122484+1 6.382635-2 2.859835+1 7.852356-2 1.472511+1 1.023293-1 6.249096+0 1.584893-1 1.510241+0 1.927525-1 8.045574-1 2.264644-1 4.821464-1 2.600160-1 3.129184-1 2.951209-1 2.119592-1 3.311311-1 1.497394-1 3.715352-1 1.065393-1 4.120975-1 7.895873-2 4.570882-1 5.892997-2 5.011872-1 4.572357-2 5.559043-1 3.464122-2 6.165950-1 2.644566-2 6.839117-1 2.033583-2 7.498942-1 1.621121-2 8.511380-1 1.197924-2 9.120108-1 1.021882-2 9.772372-1 8.778697-3 1.047129+0 7.601156-3 1.148154+0 6.320797-3 1.258925+0 5.295167-3 1.396368+0 4.375070-3 1.678804+0 3.149657-3 1.905461+0 2.530170-3 2.162719+0 2.049010-3 2.483133+0 1.640721-3 2.851018+0 1.323781-3 3.273407+0 1.075823-3 3.801894+0 8.658275-4 4.466836+0 6.907125-4 5.248075+0 5.551817-4 6.309573+0 4.360648-4 7.498942+0 3.502324-4 9.225714+0 2.713393-4 1.161449+1 2.062921-4 1.445440+1 1.601325-4 1.840772+1 1.218872-4 2.400000+1 9.098100-5 3.349654+1 6.350752-5 4.897788+1 4.251872-5 8.511380+1 2.399237-5 1.621810+2 1.242915-5 3.235937+2 6.184800-6 1.288250+3 1.545268-6 8.128305+4 2.444617-8 1.000000+5 1.987100-8 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 1.935200-3 8.056400-5 1.000000+5 8.056400-5 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.935200-3 4.374900-6 1.000000+5 4.374900-6 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 1.935200-3 1.850261-3 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.578100-3 3.241412+5 1.625000-3 3.425112+5 1.678804-3 3.611872+5 1.705000-3 3.714383+5 1.737801-3 3.827126+5 1.757924-3 3.876777+5 1.780700-3 3.881845+5 1.800000-3 3.858758+5 1.819701-3 3.817484+5 1.862087-3 3.640056+5 2.113489-3 2.638122+5 2.344229-3 2.012256+5 2.600160-3 1.522829+5 2.851018-3 1.179920+5 3.311311-3 7.713506+4 3.589219-3 6.090122+4 4.168694-3 3.892842+4 4.623810-3 2.832573+4 5.300000-3 1.850328+4 6.025596-3 1.227816+4 6.683439-3 8.773460+3 7.762471-3 5.345734+3 8.709636-3 3.624889+3 9.800000-3 2.420764+3 1.135011-2 1.451741+3 1.318257-2 8.542311+2 1.531087-2 4.982660+2 1.778279-2 2.882344+2 2.065380-2 1.654162+2 2.400000-2 9.405720+1 2.818383-2 5.102268+1 3.349654-2 2.623993+1 4.120975-2 1.171120+1 5.188000-2 4.739487+0 9.772372-2 3.883554-1 1.202264-1 1.723296-1 1.428894-1 8.816341-2 1.659587-1 4.965766-2 1.927525-1 2.817492-2 2.213095-1 1.682196-2 2.511886-1 1.056258-2 2.818383-1 6.966716-3 3.162278-1 4.628300-3 3.507519-1 3.224623-3 3.890451-1 2.261953-3 4.315191-1 1.597181-3 4.731513-1 1.180443-3 5.069907-1 9.460077-4 5.559043-1 7.100533-4 6.456542-1 4.508157-4 7.079458-1 3.432079-4 7.673615-1 2.721567-4 8.511380-1 2.033244-4 9.015711-1 1.740948-4 9.440609-1 1.547144-4 9.885531-1 1.383911-4 1.035142+0 1.246874-4 1.096478+0 1.102820-4 1.161449+0 9.823046-5 1.244515+0 8.614917-5 1.348963+0 7.449619-5 1.531087+0 5.981046-5 1.819701+0 4.414709-5 2.018366+0 3.701399-5 2.290868+0 3.007378-5 2.630268+0 2.415881-5 3.019952+0 1.955181-5 3.507519+0 1.567051-5 4.073803+0 1.265400-5 4.786301+0 1.012801-5 5.688529+0 8.042805-6 6.839116+0 6.338357-6 8.413951+0 4.893697-6 1.011579+1 3.915649-6 1.273503+1 2.985818-6 1.640590+1 2.234953-6 2.213095+1 1.602044-6 3.019952+1 1.143636-6 4.365158+1 7.731994-7 6.760830+1 4.903102-7 1.135011+2 2.880126-7 2.264644+2 1.428798-7 4.518559+2 7.125803-8 1.798871+3 1.782354-8 1.000000+5 3.20250-10 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.578100-3 5.843600-5 1.000000+5 5.843600-5 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.578100-3 1.438300-5 1.000000+5 1.438300-5 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.578100-3 1.505281-3 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.528500-3 7.923254+5 1.575000-3 7.462256+5 1.620000-3 7.192977+5 1.621810-3 7.172742+5 1.660000-3 6.944360+5 1.678804-3 6.815833+5 1.690000-3 6.716820+5 2.089296-3 3.874467+5 2.317395-3 2.941741+5 2.511886-3 2.361000+5 2.800000-3 1.743462+5 3.235937-3 1.150485+5 3.507519-3 9.060458+4 4.073803-3 5.763066+4 4.500000-3 4.233630+4 5.128614-3 2.803230+4 5.800000-3 1.885614+4 6.531306-3 1.277244+4 7.413102-3 8.363802+3 8.413951-3 5.434093+3 9.549926-3 3.503956+3 1.083927-2 2.243123+3 1.244515-2 1.367934+3 1.428894-2 8.276002+2 1.659587-2 4.760301+2 1.905461-2 2.835235+2 2.213095-2 1.604580+2 2.540973-2 9.422066+1 3.000000-2 4.930530+1 3.548134-2 2.541626+1 4.265795-2 1.219116+1 5.370318-2 4.824578+0 9.549926-2 4.688594-1 1.174898-1 2.037233-1 1.380384-1 1.072601-1 1.603245-1 5.956714-2 1.819701-1 3.646940-2 2.041738-1 2.350223-2 2.290868-1 1.525513-2 2.540973-1 1.041101-2 2.818383-1 7.156491-3 3.090295-1 5.162711-3 3.388442-1 3.749906-3 3.715352-1 2.743343-3 4.027170-1 2.099954-3 4.415705-1 1.559306-3 4.841724-1 1.166755-3 5.308844-1 8.792532-4 5.754399-1 6.909644-4 6.095369-1 5.844383-4 6.606935-1 4.660256-4 7.161434-1 3.742435-4 8.222427-1 2.598363-4 8.810489-1 2.169065-4 9.332543-1 1.878476-4 9.772372-1 1.683636-4 1.023293+0 1.517880-4 1.083927+0 1.342715-4 1.148154+0 1.195298-4 1.230269+0 1.046865-4 1.333521+0 9.034107-5 1.778279+0 5.446721-5 2.000000+0 4.456249-5 2.290868+0 3.565996-5 2.630268+0 2.864843-5 3.019952+0 2.318733-5 3.507519+0 1.858417-5 4.073803+0 1.500662-5 4.786301+0 1.201092-5 5.688529+0 9.538098-6 6.839116+0 7.516814-6 8.413951+0 5.803467-6 1.000000+1 4.708000-6 1.258925+1 3.588566-6 1.621810+1 2.685095-6 2.162719+1 1.948584-6 2.951209+1 1.390190-6 4.216965+1 9.508925-7 6.237348+1 6.320952-7 1.011579+2 3.841976-7 1.972423+2 1.948371-7 3.935501+2 9.708552-8 1.566751+3 2.427538-8 1.000000+5 3.79790-10 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.528500-3 5.287800-5 1.000000+5 5.287800-5 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.528500-3 1.024400-8 1.000000+5 1.024400-8 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.528500-3 1.475612-3 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 4.710000-4 7.893023+4 5.190000-4 7.487520+4 6.237348-4 6.504604+4 6.683439-4 6.135369+4 7.079458-4 5.805159+4 8.317638-4 4.905978+4 9.015711-4 4.481504+4 1.000000-3 3.951980+4 1.122018-3 3.417235+4 1.230269-3 3.022618+4 1.428894-3 2.453005+4 1.603245-3 2.073683+4 1.850000-3 1.670170+4 2.150000-3 1.318548+4 2.454709-3 1.063373+4 2.851018-3 8.283748+3 3.349654-3 6.280655+3 3.981072-3 4.631645+3 4.731513-3 3.389186+3 5.623413-3 2.463052+3 6.760830-3 1.739845+3 8.222426-3 1.193254+3 9.885531-3 8.305853+2 1.188502-2 5.737900+2 1.413440-2 4.022040+2 1.678804-2 2.807081+2 2.000000-2 1.932488+2 2.371374-2 1.334454+2 2.818383-2 9.100367+1 3.349654-2 6.159095+1 3.981072-2 4.136374+1 4.731513-2 2.756575+1 5.559043-2 1.874148+1 6.683439-2 1.196367+1 8.035261-2 7.578484+0 9.772372-2 4.623364+0 1.230269-1 2.563877+0 1.566751-1 1.370753+0 2.426610-1 4.379005-1 3.019952-1 2.491727-1 3.589219-1 1.607425-1 4.120975-1 1.139353-1 4.731513-1 8.134974-2 5.370318-1 6.015938-2 6.025596-1 4.602375-2 6.760830-1 3.545814-2 7.585776-1 2.750616-2 8.609938-1 2.096117-2 9.549926-1 1.690328-2 1.071519+0 1.342626-2 1.230269+0 1.025917-2 1.380384+0 8.257905-3 1.548817+0 6.691587-3 1.757924+0 5.351096-3 2.000000+0 4.295794-3 2.290868+0 3.437284-3 2.630268+0 2.761255-3 3.019952+0 2.234777-3 3.507519+0 1.791171-3 4.073803+0 1.446373-3 4.786301+0 1.157602-3 5.688529+0 9.192974-4 6.839116+0 7.244919-4 8.413951+0 5.593511-4 1.000000+1 4.537700-4 1.258925+1 3.458727-4 1.621810+1 2.587989-4 2.187762+1 1.854438-4 2.985383+1 1.323430-4 4.265795+1 9.054595-5 6.382635+1 5.948640-5 1.035142+2 3.616835-5 2.041738+2 1.813408-5 4.073803+2 9.038185-6 1.621810+3 2.260175-6 1.000000+5 3.660600-8 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 4.710000-4 6.657200-5 1.000000+5 6.657200-5 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.710000-4 2.477800-8 1.000000+5 2.477800-8 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.710000-4 4.044032-4 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 3.860400-4 6.287353+4 5.400000-4 6.008480+4 5.888437-4 5.896837+4 6.350000-4 5.764940+4 6.850000-4 5.591440+4 7.328245-4 5.402210+4 7.852356-4 5.176235+4 8.511380-4 4.889531+4 9.225714-4 4.585900+4 1.000000-3 4.265260+4 1.096478-3 3.894797+4 1.190000-3 3.569360+4 1.303167-3 3.214660+4 1.445440-3 2.830866+4 1.589000-3 2.500646+4 1.778279-3 2.139853+4 1.950000-3 1.870738+4 2.187762-3 1.569890+4 2.426610-3 1.330546+4 2.720000-3 1.101008+4 3.054921-3 9.009807+3 3.427678-3 7.330803+3 3.845918-3 5.923678+3 4.365158-3 4.649198+3 4.954502-3 3.620084+3 5.623413-3 2.797276+3 6.382635-3 2.145465+3 7.300000-3 1.606364+3 8.317638-3 1.202987+3 9.440609-3 9.019802+2 1.071519-2 6.714345+2 1.216186-2 4.961112+2 1.380384-2 3.640039+2 1.566751-2 2.652456+2 1.798871-2 1.863770+2 2.065380-2 1.299640+2 2.371374-2 8.996371+1 2.754229-2 5.992244+1 3.162278-2 4.089367+1 3.672823-2 2.683998+1 4.315191-2 1.692902+1 5.128614-2 1.025255+1 6.237348-2 5.755217+0 7.852356-2 2.892743+0 1.059254-1 1.172496+0 1.584893-1 3.464551-1 1.972423-1 1.798753-1 2.371374-1 1.042517-1 2.786121-1 6.516923-2 3.198895-1 4.387052-2 3.630781-1 3.072557-2 4.120975-1 2.167377-2 4.623810-1 1.589081-2 5.188000-1 1.173737-2 5.821032-1 8.738861-3 6.531306-1 6.557887-3 7.244360-1 5.100750-3 8.222427-1 3.784918-3 8.912509-1 3.144781-3 9.549926-1 2.699733-3 1.023293+0 2.334258-3 1.122018+0 1.938360-3 1.230269+0 1.620963-3 1.364583+0 1.336577-3 1.621810+0 9.804484-4 1.840772+0 7.861123-4 2.065380+0 6.474119-4 2.344229+0 5.266376-4 2.691535+0 4.236043-4 3.090295+0 3.432562-4 3.589219+0 2.754490-4 4.168694+0 2.226657-4 4.897788+0 1.784030-4 5.821032+0 1.418211-4 7.000000+0 1.118400-4 8.709636+0 8.524104-5 1.071519+1 6.644876-5 1.348963+1 5.076850-5 1.737801+1 3.807212-5 2.317395+1 2.768524-5 3.198895+1 1.953887-5 4.623810+1 1.322742-5 7.852356+1 7.634390-6 1.462177+2 4.044170-6 2.917427+2 2.010772-6 1.161449+3 5.021298-7 3.672823+4 1.584350-8 1.000000+5 5.820100-9 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 3.860400-4 5.108400-5 1.000000+5 5.108400-5 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.860400-4 2.860400-8 1.000000+5 2.860400-8 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 3.860400-4 3.349274-4 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 3.349200-4 2.710096+5 3.700000-4 2.558352+5 4.570882-4 2.300691+5 5.011872-4 2.175214+5 5.432503-4 2.059509+5 5.888437-4 1.936695+5 6.382635-4 1.808871+5 6.918310-4 1.676447+5 7.673615-4 1.507428+5 8.317638-4 1.379418+5 9.120108-4 1.237024+5 1.011579-3 1.086352+5 1.110000-3 9.604520+4 1.244515-3 8.186490+4 1.380384-3 7.031087+4 1.548817-3 5.892269+4 1.730000-3 4.934440+4 1.949845-3 4.042748+4 2.213095-3 3.244693+4 2.483133-3 2.637079+4 2.800000-3 2.109216+4 3.198895-3 1.632144+4 3.672823-3 1.239534+4 4.216965-3 9.327397+3 4.841724-3 6.957335+3 5.559043-3 5.144492+3 6.382635-3 3.771387+3 7.244360-3 2.816023+3 8.222426-3 2.087895+3 9.440609-3 1.494014+3 1.071519-2 1.090626+3 1.216186-2 7.905445+2 1.380384-2 5.690011+2 1.566751-2 4.066304+2 1.778279-2 2.885414+2 2.041738-2 1.969513+2 2.344229-2 1.334050+2 2.691535-2 8.969566+1 3.090295-2 5.987890+1 3.589219-2 3.835289+1 4.168694-2 2.438061+1 4.897788-2 1.485046+1 5.821032-2 8.660376+0 7.000000-2 4.831360+0 8.511380-2 2.583291+0 1.678804-1 2.876372-1 2.018366-1 1.595963-1 2.371374-1 9.596539-2 2.722701-1 6.249148-2 3.090295-1 4.247481-2 3.467369-1 3.010841-2 3.890451-1 2.149926-2 4.315191-1 1.598837-2 4.786301-1 1.197499-2 5.248075-1 9.321930-3 5.821032-1 7.086312-3 6.382635-1 5.591472-3 6.998420-1 4.440679-3 7.673615-1 3.549740-3 8.609938-1 2.699753-3 9.225714-1 2.304674-3 9.772372-1 2.031112-3 1.047129+0 1.758210-3 1.148154+0 1.461809-3 1.258925+0 1.224616-3 1.396368+0 1.012003-3 1.698244+0 7.141247-4 1.927525+0 5.740479-4 2.187762+0 4.651742-4 2.511886+0 3.727224-4 2.884032+0 3.009193-4 3.311311+0 2.446996-4 3.845918+0 1.970463-4 4.518559+0 1.572775-4 5.308844+0 1.264811-4 6.382635+0 9.939382-5 7.585776+0 7.986928-5 9.225714+0 6.277334-5 1.174898+1 4.708297-5 1.479108+1 3.608489-5 1.905461+1 2.713404-5 2.511886+1 2.002778-5 3.548134+1 1.381831-5 5.128614+1 9.375042-6 8.810489+1 5.357195-6 1.678804+2 2.776470-6 3.349654+2 1.381956-6 1.333521+3 3.453287-7 1.000000+5 4.597000-9 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 3.349200-4 4.626700-5 1.000000+5 4.626700-5 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.349200-4 1.438000-8 1.000000+5 1.438000-8 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.349200-4 2.886386-4 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.937300-4 2.671240+5 1.944000-4 2.728940+5 1.950000-4 2.791816+5 1.960000-4 2.913848+5 1.974000-4 3.112828+5 2.000000-4 3.532884+5 2.015000-4 3.777904+5 2.025000-4 3.932528+5 2.035000-4 4.075320+5 2.045000-4 4.202120+5 2.055000-4 4.309640+5 2.065380-4 4.399761+5 2.075000-4 4.462280+5 2.085000-4 4.506320+5 2.095000-4 4.529720+5 2.110000-4 4.529560+5 2.124000-4 4.496640+5 2.137962-4 4.437638+5 2.150000-4 4.370440+5 2.170000-4 4.233560+5 2.190000-4 4.076040+5 2.213095-4 3.879358+5 2.240000-4 3.642420+5 2.270000-4 3.379076+5 2.300000-4 3.123512+5 2.350000-4 2.727184+5 2.454709-4 2.054979+5 2.500000-4 1.835652+5 2.540000-4 1.675944+5 2.570396-4 1.574208+5 2.600160-4 1.489716+5 2.630268-4 1.417999+5 2.660725-4 1.358409+5 2.691535-4 1.309984+5 2.722701-4 1.271926+5 2.754229-4 1.243534+5 2.786121-4 1.223335+5 2.818383-4 1.211239+5 2.851018-4 1.206534+5 2.890900-4 1.209752+5 2.930000-4 1.221112+5 2.980000-4 1.245476+5 3.030000-4 1.278676+5 3.100000-4 1.336392+5 3.200000-4 1.433956+5 3.430000-4 1.686884+5 3.550000-4 1.819368+5 3.672823-4 1.947950+5 3.801894-4 2.071721+5 3.935501-4 2.185879+5 4.073803-4 2.287827+5 4.216965-4 2.376828+5 4.365158-4 2.452750+5 4.518559-4 2.515349+5 4.700000-4 2.569800+5 4.897788-4 2.607039+5 5.080000-4 2.623760+5 5.308844-4 2.625710+5 5.559043-4 2.609075+5 5.821032-4 2.574916+5 6.100000-4 2.523344+5 6.382635-4 2.459795+5 6.760830-4 2.363324+5 7.161434-4 2.254266+5 7.585776-4 2.134850+5 8.035261-4 2.007794+5 8.609938-4 1.851212+5 9.200000-4 1.699956+5 9.885531-4 1.537274+5 1.059254-3 1.386375+5 1.135011-3 1.242120+5 1.230269-3 1.084089+5 1.333521-3 9.391123+4 1.450000-3 8.024080+4 1.570000-3 6.864600+4 1.717908-3 5.706029+4 1.862087-3 4.804482+4 2.041738-3 3.917510+4 2.220000-3 3.233000+4 2.426610-3 2.619287+4 2.691535-3 2.032933+4 2.951209-3 1.611549+4 3.235937-3 1.269697+4 3.589219-3 9.639955+3 4.000000-3 7.170560+3 4.466836-3 5.262023+3 4.954502-3 3.907677+3 5.495409-3 2.882864+3 6.095369-3 2.113188+3 6.839116-3 1.485327+3 7.673615-3 1.035818+3 8.609938-3 7.171122+2 9.660509-3 4.928049+2 1.083927-2 3.362052+2 1.216186-2 2.278073+2 1.380384-2 1.473473+2 1.566751-2 9.458540+1 1.778279-2 6.028191+1 2.041738-2 3.659922+1 2.344229-2 2.205880+1 2.722701-2 1.264874+1 3.162278-2 7.199836+0 3.758374-2 3.727670+0 4.518559-2 1.832824+0 5.623413-2 7.825457-1 1.047129-1 6.866727-2 1.288250-1 3.070079-2 1.531088-1 1.580706-2 1.778279-1 8.953417-3 2.041738-1 5.334216-3 2.317395-1 3.339935-3 2.630268-1 2.106507-3 2.951209-1 1.395256-3 3.311311-1 9.310595-4 3.672823-1 6.514229-4 4.073803-1 4.589463-4 4.466836-1 3.382186-4 4.897788-1 2.509476-4 5.308844-1 1.945620-4 5.821032-1 1.464733-4 6.456542-1 1.071598-4 7.079458-1 8.171328-5 7.762471-1 6.277507-5 8.609938-1 4.684394-5 9.120108-1 4.007693-5 9.549926-1 3.558384-5 1.000000+0 3.179400-5 1.047129+0 2.861115-5 1.096478+0 2.591971-5 1.161449+0 2.309036-5 1.230269+0 2.071398-5 1.333521+0 1.791329-5 1.479108+0 1.498724-5 1.840772+0 1.021341-5 2.044000+0 8.552400-6 2.344229+0 6.837873-6 2.691535+0 5.500137-6 3.090295+0 4.456890-6 3.589219+0 3.576406-6 4.168694+0 2.891087-6 4.897788+0 2.316459-6 5.821032+0 1.841402-6 7.000000+0 1.452200-6 8.709636+0 1.106752-6 1.071519+1 8.627736-7 1.348963+1 6.591817-7 1.737801+1 4.943241-7 2.317395+1 3.594685-7 3.198895+1 2.536939-7 4.623810+1 1.717461-7 7.943282+1 9.795732-8 1.500000+2 5.116500-8 2.985383+2 2.550926-8 1.188502+3 6.370942-9 3.758374+4 2.01038-10 1.000000+5 7.55690-11 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.937300-4 3.011700-5 1.000000+5 3.011700-5 1 70000 7 7 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.937300-4 2.031100-8 1.000000+5 2.031100-8 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.937300-4 1.635927-4 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.844400-4 3.797334+5 1.852000-4 3.967446+5 1.885000-4 4.859688+5 1.900000-4 5.294202+5 1.910800-4 5.600243+5 1.920000-4 5.849184+5 1.930000-4 6.101160+5 1.940000-4 6.328080+5 1.950000-4 6.524760+5 1.960000-4 6.687600+5 1.970000-4 6.814440+5 1.980000-4 6.904620+5 1.990000-4 6.958980+5 2.000000-4 6.979500+5 2.010000-4 6.969000+5 2.020000-4 6.930780+5 2.035000-4 6.829620+5 2.050000-4 6.686520+5 2.065380-4 6.507857+5 2.080000-4 6.317100+5 2.102300-4 6.002525+5 2.128000-4 5.624622+5 2.162719-4 5.116176+5 2.205000-4 4.529070+5 2.344229-4 3.010049+5 2.380000-4 2.732658+5 2.415000-4 2.503548+5 2.450000-4 2.313264+5 2.480000-4 2.178462+5 2.511886-4 2.061009+5 2.540973-4 1.974954+5 2.570396-4 1.906259+5 2.600160-4 1.853648+5 2.628000-4 1.819026+5 2.660000-4 1.792578+5 2.691535-4 1.780141+5 2.722701-4 1.779567+5 2.760000-4 1.792224+5 2.800000-4 1.819596+5 2.840000-4 1.858896+5 2.900000-4 1.935546+5 2.951209-4 2.013736+5 3.054921-4 2.195215+5 3.240000-4 2.551572+5 3.350000-4 2.763624+5 3.467369-4 2.979833+5 3.550000-4 3.122502+5 3.672823-4 3.316906+5 3.780000-4 3.468312+5 3.890451-4 3.605496+5 4.027170-4 3.749876+5 4.168694-4 3.872169+5 4.315191-4 3.972628+5 4.466836-4 4.051262+5 4.650000-4 4.114974+5 4.850000-4 4.149924+5 5.069907-4 4.153824+5 5.308844-4 4.126642+5 5.580000-4 4.066524+5 5.821032-4 3.992978+5 6.100000-4 3.888978+5 6.456542-4 3.738451+5 6.850000-4 3.559530+5 7.244360-4 3.374802+5 7.673615-4 3.174252+5 8.200000-4 2.935890+5 8.709636-4 2.717184+5 9.332543-4 2.469389+5 1.000000-3 2.228706+5 1.071519-3 1.998135+5 1.161449-3 1.745831+5 1.258925-3 1.513144+5 1.364583-3 1.301934+5 1.479108-3 1.112148+5 1.610000-3 9.355380+4 1.757924-3 7.759747+4 1.927525-3 6.331034+4 2.137962-3 4.988395+4 2.317395-3 4.117407+4 2.540973-3 3.286272+4 2.818383-3 2.529062+4 3.150000-3 1.891974+4 3.507519-3 1.417081+4 3.900000-3 1.057218+4 4.315191-3 7.938863+3 4.786301-3 5.880144+3 5.308844-3 4.325937+3 5.956621-3 3.052209+3 6.606934-3 2.214588+3 7.328245-3 1.596405+3 8.222426-3 1.101644+3 9.225714-3 7.546356+2 1.035142-2 5.129693+2 1.161449-2 3.462068+2 1.303167-2 2.320480+2 1.479108-2 1.482907+2 1.678804-2 9.403178+1 1.905461-2 5.919592+1 2.187762-2 3.545711+1 2.511886-2 2.107964+1 2.917427-2 1.190666+1 3.388442-2 6.674030+0 4.000000-2 3.486132+0 4.841724-2 1.637159+0 5.956621-2 7.152307-1 9.885531-2 9.323520-2 1.202264-1 4.268744-2 1.412538-1 2.258374-2 1.640590-1 1.259495-2 1.862087-1 7.737723-3 2.113489-1 4.789771-3 2.371374-1 3.120708-3 2.630268-1 2.137527-3 2.917427-1 1.475290-3 3.198895-1 1.068302-3 3.507519-1 7.788215-4 3.845918-1 5.717819-4 4.216965-1 4.227373-4 4.570882-1 3.266166-4 4.954502-1 2.540200-4 5.370318-1 1.990637-4 5.821032-1 1.570844-4 6.309573-1 1.247843-4 6.839117-1 9.977144-5 7.413102-1 8.028303-5 8.609938-1 5.422541-5 9.120108-1 4.691661-5 9.660509-1 4.087987-5 1.011579+0 3.683932-5 1.071519+0 3.257021-5 1.148154+0 2.831676-5 1.230269+0 2.479608-5 1.333521+0 2.138883-5 1.778279+0 1.288149-5 2.000000+0 1.054000-5 2.290868+0 8.434836-6 2.630268+0 6.775780-6 3.019952+0 5.483378-6 3.507519+0 4.394849-6 4.073803+0 3.548849-6 4.786301+0 2.840423-6 5.688529+0 2.255589-6 6.839116+0 1.777571-6 8.413951+0 1.372450-6 1.000000+1 1.113400-6 1.244515+1 8.600789-7 1.584893+1 6.517489-7 2.089296+1 4.787111-7 2.851018+1 3.412045-7 4.073803+1 2.332219-7 5.888437+1 1.586757-7 9.772372+1 9.412561-8 1.883649+2 4.827452-8 3.758374+2 2.404707-8 1.496236+3 6.011916-9 1.000000+5 8.98160-11 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.844400-4 2.780700-5 1.000000+5 2.780700-5 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.844400-4 1.566330-4 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 1.109000-5 8.912519+5 1.135011-5 8.426547+5 1.180000-5 7.735320+5 1.230269-5 7.128058+5 1.273503-5 6.710712+5 1.320000-5 6.344100+5 1.370000-5 6.031260+5 1.420000-5 5.782428+5 1.470000-5 5.587656+5 1.515000-5 5.451498+5 1.570000-5 5.328240+5 1.630000-5 5.239176+5 1.690000-5 5.189892+5 1.757924-5 5.175318+5 1.830000-5 5.201046+5 1.905461-5 5.267393+5 1.980000-5 5.368032+5 2.065380-5 5.521314+5 2.162719-5 5.739866+5 2.270000-5 6.028500+5 2.371374-5 6.341126+5 2.500000-5 6.788280+5 2.660725-5 7.417815+5 2.851018-5 8.245396+5 3.589219-5 1.199025+6 3.900000-5 1.364634+6 4.168694-5 1.505184+6 4.466836-5 1.654736+6 4.800000-5 1.813428+6 5.150000-5 1.970016+6 5.559043-5 2.140282+6 6.025596-5 2.320758+6 6.531306-5 2.498721+6 7.079458-5 2.671144+6 7.585776-5 2.807655+6 8.128305-5 2.929178+6 8.609938-5 3.015213+6 9.225714-5 3.097877+6 9.900000-5 3.160692+6 1.080000-4 3.209658+6 1.161449-4 3.230594+6 1.260000-4 3.232704+6 1.350000-4 3.213018+6 1.450000-4 3.171882+6 1.548817-4 3.111695+6 1.659587-4 3.030930+6 1.800000-4 2.914326+6 1.927525-4 2.799842+6 2.041738-4 2.694237+6 2.190000-4 2.551044+6 2.317395-4 2.426618+6 2.500000-4 2.250870+6 2.691535-4 2.073409+6 2.851018-4 1.932883+6 3.019952-4 1.792561+6 3.235937-4 1.623970+6 3.427678-4 1.486390+6 3.672823-4 1.326864+6 3.935501-4 1.175240+6 4.216965-4 1.032698+6 4.518559-4 9.005111+5 4.841724-4 7.794651+5 5.188000-4 6.698137+5 5.559043-4 5.716137+5 6.000000-4 4.761564+5 6.456542-4 3.967449+5 7.000000-4 3.220092+5 7.585776-4 2.596663+5 8.222426-4 2.077822+5 8.912509-4 1.651622+5 9.772372-4 1.260958+5 1.071519-3 9.551477+4 1.174898-3 7.180481+4 1.288250-3 5.359520+4 1.412538-3 3.973339+4 1.566751-3 2.816519+4 1.737801-3 1.981662+4 1.927525-3 1.383908+4 2.137962-3 9.596262+3 2.371374-3 6.608707+3 2.630268-3 4.520989+3 2.951209-3 2.942740+3 3.311311-3 1.900968+3 3.715352-3 1.218964+3 4.168694-3 7.761146+2 4.677351-3 4.907622+2 5.248075-3 3.082013+2 5.754399-3 2.112716+2 6.456542-3 1.308211+2 7.328245-3 7.661581+1 8.317638-3 4.453293+1 9.440609-3 2.570149+1 1.071519-2 1.472550+1 1.230269-2 7.952824+0 1.428894-2 4.046608+0 1.678804-2 1.939663+0 1.972423-2 9.227998-1 2.344229-2 4.130372-1 2.818383-2 1.738201-1 3.235937-2 9.029223-2 4.073803-2 3.003961-2 6.683439-2 2.791787-3 8.317638-2 9.835043-4 9.885531-2 4.344431-4 1.161449-1 2.039929-4 1.333521-1 1.074869-4 1.513561-1 6.017608-5 1.698244-1 3.577019-5 1.905461-1 2.141168-5 2.137962-1 1.291022-5 2.371374-1 8.244301-6 2.630268-1 5.303116-6 2.884032-1 3.606591-6 3.198895-1 2.355030-6 3.507519-1 1.623472-6 3.845918-1 1.126906-6 4.216965-1 7.877903-7 4.570882-1 5.795796-7 4.954502-1 4.291801-7 5.308844-1 3.341387-7 5.754399-1 2.512800-7 6.237348-1 1.902700-7 6.760830-1 1.449986-7 7.413102-1 1.070651-7 8.128305-1 7.957553-8 8.709636-1 6.394924-8 9.120108-1 5.561356-8 9.440609-1 5.032501-8 9.772372-1 4.577713-8 1.011579+0 4.190327-8 1.047129+0 3.858379-8 1.083927+0 3.570472-8 1.135011+0 3.241582-8 1.188502+0 2.962382-8 1.258925+0 2.665979-8 1.348963+0 2.364551-8 1.513561+0 1.954123-8 1.883649+0 1.331923-8 2.089296+0 1.118480-8 2.371374+0 9.103057-9 2.722701+0 7.327293-9 3.126079+0 5.941574-9 3.630781+0 4.770683-9 4.265795+0 3.797185-9 5.011872+0 3.045667-9 6.000000+0 2.400800-9 7.161434+0 1.913692-9 8.912509+0 1.459462-9 1.122018+1 1.108089-9 1.412538+1 8.47957-10 1.800000+1 6.44580-10 2.371374+1 4.75437-10 3.273407+1 3.35722-10 4.731513+1 2.27373-10 8.222427+1 1.28222-10 1.548817+2 6.71733-11 3.090295+2 3.34148-11 1.230269+3 8.34662-12 3.890451+4 2.63400-13 1.000000+5 1.02490-13 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 1.109000-5 1.109000-5 1.000000+5 1.109000-5 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.109000-5 0.0 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 9.670000-6 1.316680+6 9.772372-6 1.279929+6 1.011579-5 1.180012+6 1.047129-5 1.095071+6 1.085000-5 1.021560+6 1.122018-5 9.629768+5 1.165000-5 9.076960+5 1.202264-5 8.687956+5 1.244515-5 8.331893+5 1.290000-5 8.030160+5 1.333521-5 7.806682+5 1.380384-5 7.625977+5 1.428894-5 7.494667+5 1.480000-5 7.408528+5 1.531087-5 7.368066+5 1.590000-5 7.370200+5 1.650000-5 7.418344+5 1.717908-5 7.521412+5 1.778279-5 7.650635+5 1.862087-5 7.881291+5 1.950000-5 8.179280+5 2.041738-5 8.544507+5 2.150000-5 9.037280+5 2.270000-5 9.651440+5 2.426610-5 1.054664+6 2.630268-5 1.184122+6 3.400000-5 1.749016+6 3.715352-5 1.987843+6 4.000000-5 2.197040+6 4.315191-5 2.415805+6 4.650000-5 2.633672+6 5.011872-5 2.851190+6 5.500000-5 3.119696+6 6.000000-5 3.368208+6 6.539900-5 3.608863+6 7.000000-5 3.788528+6 7.500000-5 3.955840+6 8.000000-5 4.092464+6 8.511380-5 4.200275+6 9.015711-5 4.280495+6 9.660509-5 4.347359+6 1.040000-4 4.392784+6 1.150000-4 4.411928+6 1.244515-4 4.394400+6 1.333521-4 4.355498+6 1.450000-4 4.269504+6 1.548817-4 4.173103+6 1.659587-4 4.050217+6 1.800000-4 3.878168+6 1.905461-4 3.743134+6 2.050000-4 3.553944+6 2.213095-4 3.334130+6 2.350000-4 3.149240+6 2.511886-4 2.937982+6 2.722701-4 2.676059+6 2.917427-4 2.449510+6 3.090295-4 2.261799+6 3.273407-4 2.076327+6 3.467369-4 1.895198+6 3.715352-4 1.686084+6 3.981072-4 1.488299+6 4.265795-4 1.303616+6 4.570882-4 1.133411+6 4.897788-4 9.783826+5 5.248075-4 8.387122+5 5.623413-4 7.141802+5 6.025596-4 6.042253+5 6.456542-4 5.080090+5 7.000000-4 4.116448+5 7.585776-4 3.314880+5 8.222426-4 2.649169+5 8.912509-4 2.103201+5 9.740000-4 1.619140+5 1.059254-3 1.256059+5 1.161449-3 9.437414+4 1.273503-3 7.040180+4 1.396368-3 5.216216+4 1.548817-3 3.694456+4 1.698244-3 2.702716+4 1.883649-3 1.887320+4 2.089296-3 1.308211+4 2.344229-3 8.638278+3 2.600160-3 5.904934+3 2.917427-3 3.840058+3 3.273407-3 2.478466+3 3.672823-3 1.587249+3 4.073803-3 1.055328+3 4.518559-3 6.962646+2 5.069907-3 4.353945+2 5.688529-3 2.703408+2 6.683439-3 1.374105+2 7.498942-3 8.431292+1 8.317638-3 5.396829+1 9.120108-3 3.607662+1 1.035142-2 2.051437+1 1.348963-2 6.239926+0 1.584893-2 3.002898+0 1.778279-2 1.766377+0 2.065380-2 8.791985-1 2.426610-2 4.114143-1 2.884032-2 1.808920-1 3.507519-2 7.060249-2 4.623810-2 1.853069-2 7.328245-2 1.985166-3 8.912509-2 7.734638-4 1.047129-1 3.583626-4 1.230269-1 1.673599-4 1.396368-1 9.266690-5 1.566751-1 5.452412-5 1.737801-1 3.405457-5 1.927525-1 2.141766-5 2.137962-1 1.357183-5 2.344229-1 9.107342-6 2.570396-1 6.154576-6 2.786121-1 4.396702-6 3.019952-1 3.162704-6 3.273407-1 2.289949-6 3.589219-1 1.595188-6 3.890451-1 1.170866-6 4.216965-1 8.660434-7 4.518559-1 6.734697-7 4.841724-1 5.271279-7 5.188000-1 4.152246-7 5.559043-1 3.294643-7 5.956621-1 2.631236-7 6.456542-1 2.039608-7 6.998420-1 1.593198-7 7.585776-1 1.250972-7 8.128305-1 1.023254-7 8.709636-1 8.427664-8 9.225714-1 7.192096-8 9.660509-1 6.373609-8 1.000000+0 5.851300-8 1.047129+0 5.260132-8 1.096478+0 4.761272-8 1.148154+0 4.335302-8 1.216186+0 3.882630-8 1.318257+0 3.356602-8 1.513561+0 2.651180-8 1.840772+0 1.879801-8 2.044000+0 1.574000-8 2.344229+0 1.258534-8 2.691535+0 1.012280-8 3.090295+0 8.202303-9 3.589219+0 6.581960-9 4.168694+0 5.320728-9 4.897788+0 4.263157-9 5.821032+0 3.388927-9 7.000000+0 2.672500-9 8.709636+0 2.036866-9 1.071519+1 1.587863-9 1.348963+1 1.213143-9 1.737801+1 9.09746-10 2.317395+1 6.61560-10 3.198895+1 4.66896-10 4.623810+1 3.16071-10 7.852356+1 1.82427-10 1.479108+2 9.55132-11 2.951209+2 4.74954-11 1.174898+3 1.18609-11 3.715352+4 3.74262-13 1.000000+5 1.39070-13 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 9.670000-6 9.670000-6 1.000000+5 9.670000-6 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 9.670000-6 0.0 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 5.990000-5 5.721960+4 6.110000-5 5.476700+4 6.220300-5 5.298857+4 6.330000-5 5.161600+4 6.450000-5 5.055260+4 6.580000-5 4.982240+4 6.690000-5 4.950000+4 6.800000-5 4.941440+4 6.950000-5 4.962360+4 7.079458-5 5.005036+4 7.244360-5 5.084847+4 7.500000-5 5.248400+4 7.852356-5 5.520960+4 8.650000-5 6.178220+4 9.015711-5 6.450309+4 9.440609-5 6.723793+4 9.800000-5 6.915120+4 1.023293-4 7.095939+4 1.071519-4 7.237739+4 1.122018-4 7.328306+4 1.174898-4 7.371995+4 1.244515-4 7.369266+4 1.318257-4 7.312632+4 1.400000-4 7.205640+4 1.500000-4 7.032340+4 1.603245-4 6.819434+4 1.720000-4 6.550300+4 1.850000-4 6.232580+4 2.000000-4 5.864940+4 2.187762-4 5.427877+4 2.400000-4 4.977240+4 2.650000-4 4.503200+4 2.951209-4 4.005082+4 3.350000-4 3.461060+4 3.801894-4 2.970405+4 4.365158-4 2.493153+4 5.069907-4 2.048192+4 5.956621-4 1.643855+4 7.000000-4 1.310162+4 8.413951-4 1.003523+4 1.011579-3 7.621734+3 1.216186-3 5.744231+3 1.462177-3 4.295174+3 1.757924-3 3.186076+3 2.113489-3 2.344510+3 2.540973-3 1.711480+3 3.054921-3 1.239771+3 3.672823-3 8.914563+2 4.415704-3 6.360848+2 5.370318-3 4.410391+2 6.683439-3 2.904406+2 8.128305-3 1.983796+2 9.885531-3 1.344871+2 1.202264-2 9.047551+1 1.445440-2 6.184407+1 1.737801-2 4.194423+1 2.187762-2 2.557824+1 2.630268-2 1.710036+1 3.054921-2 1.225229+1 3.589219-2 8.484161+0 4.265795-2 5.677608+0 5.069907-2 3.769857+0 6.025596-2 2.484393+0 7.244360-2 1.580194+0 8.511380-2 1.056635+0 1.047129-1 6.245125-1 1.348963-1 3.255651-1 2.454709-1 6.846941-2 3.019952-1 4.014585-2 3.589219-1 2.589900-2 4.120975-1 1.835772-2 4.731513-1 1.310777-2 5.370318-1 9.693643-3 6.025596-1 7.416080-3 6.760830-1 5.713620-3 7.585776-1 4.432314-3 8.609938-1 3.377820-3 9.549926-1 2.724003-3 1.071519+0 2.163662-3 1.230269+0 1.653273-3 1.380384+0 1.330751-3 1.548817+0 1.078339-3 1.757924+0 8.623442-4 2.000000+0 6.922800-4 2.290868+0 5.539185-4 2.630268+0 4.449816-4 3.019952+0 3.601464-4 3.507519+0 2.886552-4 4.073803+0 2.330912-4 4.786301+0 1.865609-4 5.688529+0 1.481493-4 6.839116+0 1.167540-4 8.413951+0 9.014106-5 1.011579+1 7.212657-5 1.273503+1 5.499815-5 1.640590+1 4.116753-5 2.200000+1 2.970300-5 3.019952+1 2.106449-5 4.315191+1 1.441555-5 6.606934+1 9.249372-6 1.096478+2 5.495590-6 2.187762+2 2.725200-6 4.365158+2 1.358906-6 1.737801+3 3.398704-7 1.000000+5 5.899000-9 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 5.990000-5 5.990000-5 1.000000+5 5.990000-5 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 5.990000-5 0.0 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 3.644000-5 1.063862+7 3.680000-5 9.895100+6 3.720000-5 9.189160+6 3.760000-5 8.580160+6 3.830000-5 7.692340+6 3.900000-5 6.971460+6 3.981072-5 6.282066+6 4.073803-5 5.634150+6 4.180000-5 5.025940+6 4.315191-5 4.394753+6 4.500000-5 3.711300+6 4.800000-5 2.888440+6 6.839116-5 7.437748+5 7.500000-5 5.250840+5 8.222426-5 3.737873+5 8.912509-5 2.793272+5 9.549926-5 2.189305+5 1.020000-4 1.747666+5 1.083927-4 1.430078+5 1.135011-4 1.235485+5 1.194100-4 1.058402+5 1.244515-4 9.382029+4 1.303167-4 8.254533+4 1.364583-4 7.311889+4 1.430000-4 6.509620+4 1.500000-4 5.825080+4 1.566751-4 5.299892+4 1.640590-4 4.829760+4 1.720000-4 4.423140+4 1.800000-4 4.091920+4 1.883649-4 3.809195+4 1.980000-4 3.544000+4 2.089296-4 3.300478+4 2.220000-4 3.065800+4 2.371374-4 2.848039+4 2.580000-4 2.612300+4 2.851018-4 2.376978+4 4.216965-4 1.680660+4 4.897788-4 1.462626+4 5.559043-4 1.291961+4 6.309573-4 1.133932+4 7.079458-4 1.000869+4 8.035261-4 8.664710+3 9.015711-4 7.551294+3 1.023293-3 6.445376+3 1.161449-3 5.459058+3 1.318257-3 4.588473+3 1.496236-3 3.827034+3 1.698244-3 3.166985+3 1.905461-3 2.647754+3 2.162719-3 2.157166+3 2.454709-3 1.743789+3 2.786121-3 1.398678+3 3.162278-3 1.113506+3 3.589219-3 8.799989+2 4.073803-3 6.904304+2 4.623810-3 5.378452+2 5.248075-3 4.160188+2 6.000000-3 3.146719+2 6.839116-3 2.377325+2 7.762471-3 1.799751+2 8.810489-3 1.353088+2 1.000000-2 1.010272+2 1.122018-2 7.696570+1 1.288250-2 5.509970+1 1.548817-2 3.495234+1 1.778279-2 2.473005+1 2.018366-2 1.788627+1 2.290868-2 1.280624+1 2.600160-2 9.101735+0 3.000000-2 6.141197+0 3.507519-2 3.968331+0 4.120975-2 2.509864+0 4.897788-2 1.524265+0 5.888437-2 8.876666-1 7.328245-2 4.630855-1 9.772372-2 1.948662-1 1.584893-1 4.512427-2 1.972423-1 2.342854-2 2.371374-1 1.358171-2 2.786121-1 8.491662-3 3.198895-1 5.717006-3 3.630781-1 4.004200-3 4.120975-1 2.824520-3 4.623810-1 2.070752-3 5.128614-1 1.575986-3 5.754399-1 1.172566-3 6.456542-1 8.792797-4 7.161434-1 6.833666-4 7.943282-1 5.348809-4 8.709636-1 4.317162-4 9.332543-1 3.697993-4 1.000000+0 3.189100-4 1.096478+0 2.643222-4 1.202264+0 2.206439-4 1.318257+0 1.854867-4 1.479108+0 1.505234-4 1.717908+0 1.153932-4 1.949845+0 9.283021-5 2.213095+0 7.527449-5 2.540973+0 6.035317-5 2.917427+0 4.875703-5 3.349654+0 3.967091-5 3.890451+0 3.196348-5 4.570882+0 2.552712-5 5.370318+0 2.053903-5 6.456542+0 1.614778-5 7.673615+0 1.298174-5 9.332543+0 1.020806-5 1.174898+1 7.763459-6 1.479108+1 5.949983-6 1.883649+1 4.531743-6 2.483133+1 3.344001-6 3.507519+1 2.306513-6 5.069907+1 1.564478-6 8.709636+1 8.938314-7 1.659587+2 4.631752-7 3.311311+2 2.305201-7 1.318257+3 5.760197-8 1.000000+5 7.58000-10 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 3.644000-5 3.644000-5 1.000000+5 3.644000-5 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.644000-5 0.0 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 3.001000-5 2.521508+7 3.010000-5 2.459128+7 3.040000-5 2.282464+7 3.080000-5 2.081696+7 3.135000-5 1.855504+7 3.190000-5 1.671296+7 3.245000-5 1.517624+7 3.311311-5 1.363115+7 3.388442-5 1.214473+7 3.470000-5 1.084392+7 3.589219-5 9.305471+6 3.730000-5 7.879960+6 3.935501-5 6.306699+6 4.216965-5 4.774273+6 4.841724-5 2.764417+6 5.432503-5 1.764216+6 5.888437-5 1.297066+6 6.309573-5 1.003806+6 6.683439-5 8.161801+5 7.079458-5 6.684459+5 7.413102-5 5.731823+5 7.800000-5 4.870400+5 8.150000-5 4.259600+5 8.511380-5 3.755227+5 8.912509-5 3.309749+5 9.300000-5 2.966688+5 9.660509-5 2.706605+5 1.000000-4 2.502680+5 1.040000-4 2.302732+5 1.083927-4 2.122448+5 1.135011-4 1.952056+5 1.190000-4 1.803812+5 1.244515-4 1.683607+5 1.318257-4 1.551986+5 1.400000-4 1.435840+5 1.500000-4 1.323064+5 1.621810-4 1.215271+5 1.800000-4 1.094296+5 2.600160-4 7.706070+4 3.054921-4 6.563688+4 3.548134-4 5.614299+4 4.073803-4 4.824325+4 4.700600-4 4.091184+4 5.370318-4 3.484197+4 6.165950-4 2.927853+4 7.000000-4 2.479424+4 8.035261-4 2.054566+4 9.225714-4 1.688602+4 1.059254-3 1.377568+4 1.216186-3 1.114980+4 1.380384-3 9.120482+3 1.566751-3 7.409132+3 1.778279-3 5.976693+3 2.018366-3 4.787319+3 2.290868-3 3.807137+3 2.600160-3 3.006151+3 2.951209-3 2.356853+3 3.349654-3 1.834607+3 3.801894-3 1.418074+3 4.315191-3 1.088533+3 4.897788-3 8.298340+2 5.559043-3 6.283058+2 6.309573-3 4.724311+2 7.244360-3 3.434360+2 8.222426-3 2.545498+2 9.332543-3 1.873019+2 1.083927-2 1.292763+2 1.230269-2 9.379314+1 1.380384-2 6.953817+1 1.640590-2 4.384446+1 1.883649-2 3.008504+1 2.162719-2 2.048265+1 2.483133-2 1.383989+1 2.851018-2 9.283435+0 3.273407-2 6.182973+0 3.801894-2 3.950961+0 4.415704-2 2.505885+0 5.188000-2 1.523146+0 6.189000-2 8.765069-1 7.498942-2 4.760631-1 9.660509-2 2.109293-1 1.659587-1 3.674043-2 2.018366-1 1.965171-2 2.371374-1 1.181952-2 2.722701-1 7.698041-3 3.090295-1 5.232896-3 3.467369-1 3.709621-3 3.890451-1 2.649129-3 4.315191-1 1.970318-3 4.786301-1 1.475967-3 5.248075-1 1.149180-3 5.821032-1 8.737795-4 6.456542-1 6.697053-4 7.079458-1 5.323100-4 7.762471-1 4.258806-4 8.609938-1 3.330665-4 9.225714-1 2.844095-4 9.885531-1 2.446168-4 1.071519+0 2.071040-4 1.174898+0 1.725351-4 1.288250+0 1.448145-4 1.428894+0 1.198467-4 1.698244+0 8.814884-5 1.927525+0 7.085972-5 2.187762+0 5.741783-5 2.511886+0 4.600619-5 2.884032+0 3.714453-5 3.311311+0 3.020503-5 3.845918+0 2.432262-5 4.518559+0 1.941389-5 5.308844+0 1.561276-5 6.382635+0 1.226888-5 7.498942+0 1.000121-5 9.225714+0 7.748642-6 1.161449+1 5.890853-6 1.462177+1 4.513042-6 1.862087+1 3.436265-6 2.454709+1 2.534970-6 3.467369+1 1.747966-6 5.069907+1 1.171216-6 8.709636+1 6.691317-7 1.659587+2 3.467365-7 3.311311+2 1.725690-7 1.318257+3 4.312146-8 1.000000+5 5.67440-10 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 3.001000-5 3.001000-5 1.000000+5 3.001000-5 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 3.001000-5 0.0 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.610000-6 4.880360+6 5.900000-6 3.980660+6 6.531306-6 2.608388+6 7.244360-6 1.683900+6 8.035261-6 1.079388+6 8.912509-6 6.868192+5 9.885531-6 4.339077+5 1.303167-5 1.250225+5 1.396368-5 9.214198+4 1.462177-5 7.560177+4 1.531087-5 6.244494+4 1.590000-5 5.373120+4 1.640590-5 4.769057+4 1.698244-5 4.210492+4 1.750000-5 3.803540+4 1.800000-5 3.479200+4 1.850000-5 3.210480+4 1.905461-5 2.965922+4 1.950000-5 2.803360+4 2.000000-5 2.650740+4 2.055000-5 2.513340+4 2.113489-5 2.396099+4 2.170000-5 2.305940+4 2.238721-5 2.220956+4 2.300000-5 2.163520+4 2.375200-5 2.111614+4 2.454709-5 2.073963+4 2.540973-5 2.048119+4 2.650000-5 2.031340+4 2.786121-5 2.026656+4 2.985383-5 2.037492+4 3.630781-5 2.099658+4 3.935501-5 2.112200+4 4.216965-5 2.109398+4 4.518559-5 2.093473+4 4.841724-5 2.064200+4 5.188000-5 2.020578+4 5.559043-5 1.963312+4 6.000000-5 1.886832+4 6.456542-5 1.803596+4 7.000000-5 1.702690+4 7.673615-5 1.581024+4 8.413951-5 1.457832+4 9.332543-5 1.320852+4 1.071519-4 1.148869+4 1.303167-4 9.326423+3 1.737801-4 6.798088+3 2.000000-4 5.790260+3 2.238721-4 5.037125+3 2.540973-4 4.272379+3 2.951209-4 3.488500+3 3.715352-4 2.533252+3 4.954502-4 1.692426+3 6.025596-4 1.271377+3 8.128305-4 8.156878+2 9.660509-4 6.260259+2 1.230269-3 4.286230+2 1.500000-3 3.119720+2 1.819701-3 2.270346+2 1.949845-3 2.014948+2 2.041738-3 1.868205+2 2.113489-3 1.756807+2 2.176000-3 1.661888+2 2.238721-3 1.556963+2 2.290868-3 1.484864+2 2.317700-3 1.454312+2 2.344229-3 1.441668+2 2.398833-3 1.426437+2 2.483133-3 1.410550+2 2.517600-3 1.400189+2 2.570396-3 1.360436+2 2.630268-3 1.308410+2 2.691535-3 1.250209+2 2.754229-3 1.187193+2 2.851018-3 1.091515+2 3.000000-3 9.612493+1 3.126079-3 8.786354+1 3.235937-3 8.181881+1 3.388442-3 7.500448+1 3.548134-3 6.920517+1 3.758374-3 6.300715+1 4.000000-3 5.721882+1 4.466836-3 4.689878+1 5.069907-3 3.703845+1 7.413102-3 1.782851+1 9.015711-3 1.213396+1 1.096478-2 8.195722+0 1.318257-2 5.624374+0 1.584893-2 3.830978+0 1.905461-2 2.589112+0 2.264644-2 1.780329+0 2.691535-2 1.215475+0 3.198895-2 8.237520-1 3.801894-2 5.540627-1 4.518559-2 3.698918-1 5.308844-2 2.519238-1 6.309573-2 1.657034-1 7.585776-2 1.051956-1 9.015711-2 6.819467-2 1.122019-1 3.905468-2 1.479108-1 1.914286-2 2.426610-1 5.266580-3 3.000000-1 3.049200-3 3.548134-1 1.991393-3 4.120975-1 1.371723-3 4.731513-1 9.798384-4 5.370318-1 7.250195-4 6.025596-1 5.550556-4 6.760830-1 4.280200-4 7.585776-1 3.324357-4 8.511380-1 2.600993-4 9.440609-1 2.099769-4 1.059254+0 1.668422-4 1.216186+0 1.274376-4 1.380384+0 1.003018-4 1.548817+0 8.124756-5 1.737801+0 6.628323-5 1.972423+0 5.338731-5 2.238721+0 4.331954-5 2.570396+0 3.475540-5 2.951209+0 2.809541-5 3.427678+0 2.249057-5 4.000000+0 1.802000-5 4.677351+0 1.450390-5 5.495409+0 1.168166-5 6.606934+0 9.193052-6 7.943282+0 7.292839-6 9.440609+0 5.903193-6 1.188502+1 4.491293-6 1.500000+1 3.433600-6 1.927525+1 2.590163-6 2.540973+1 1.912306-6 3.589219+1 1.319788-6 5.188000+1 8.956242-7 8.912509+1 5.118787-7 1.717908+2 2.622498-7 3.427678+2 1.305552-7 1.364583+3 3.262704-8 1.000000+5 4.44470-10 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.610000-6 5.610000-6 1.000000+5 5.610000-6 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.610000-6 0.0 1.000000+5 1.000000+5 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 3.931720-7 1.026600+0 1.253280-6 1.027100+0 1.705110-6 1.027500+0 2.135640-6 1.028100+0 2.907630-6 1.028750+0 3.931720-6 1.029500+0 5.380660-6 1.030100+0 6.766840-6 1.031000+0 9.259340-6 1.032000+0 1.266910-5 1.033200+0 1.774730-5 1.034000+0 2.178640-5 1.035300+0 2.957190-5 1.036640+0 3.931720-5 1.038200+0 5.305980-5 1.039700+0 6.893530-5 1.041500+0 9.171760-5 1.043800+0 1.273070-4 1.046400+0 1.771240-4 1.048300+0 2.205240-4 1.051200+0 2.991360-4 1.054080+0 3.931720-4 1.057700+0 5.359200-4 1.061100+0 6.970990-4 1.065100+0 9.228860-4 1.070400+0 1.287530-3 1.076200+0 1.779370-3 1.080600+0 2.222140-3 1.087100+0 2.993940-3 1.093710+0 3.931720-3 1.102600+0 5.451060-3 1.110700+0 7.108900-3 1.120600+0 9.508920-3 1.133300+0 1.322040-2 1.147500+0 1.825240-2 1.158200+0 2.268310-2 1.174100+0 3.031900-2 1.190110+0 3.931720-2 1.205100+0 4.895570-2 1.227500+0 6.553850-2 1.250000+0 8.465000-2 1.265600+0 9.917630-2 1.294900+0 1.289570-1 1.331800+0 1.703690-1 1.362600+0 2.075960-1 1.397000+0 2.514360-1 1.433800+0 3.004940-1 1.500000+0 3.937000-1 1.562500+0 4.877110-1 1.617200+0 5.742900-1 1.712900+0 7.333700-1 1.838500+0 9.520020-1 1.946200+0 1.142990+0 2.000000+0 1.238000+0 2.044000+0 1.315000+0 2.163500+0 1.522510+0 2.372600+0 1.878930+0 2.647100+0 2.329910+0 3.000000+0 2.879000+0 3.500000+0 3.598770+0 4.000000+0 4.258000+0 4.750000+0 5.148670+0 5.000000+0 5.423000+0 6.000000+0 6.425000+0 7.000000+0 7.308000+0 8.000000+0 8.102000+0 9.000000+0 8.824000+0 1.000000+1 9.487000+0 1.100000+1 1.010000+1 1.200000+1 1.067000+1 1.300000+1 1.120000+1 1.400000+1 1.170000+1 1.500000+1 1.216000+1 1.600000+1 1.259000+1 1.800000+1 1.336000+1 2.000000+1 1.405000+1 2.200000+1 1.468000+1 2.400000+1 1.524000+1 2.600000+1 1.577000+1 2.800000+1 1.624000+1 3.000000+1 1.668000+1 4.000000+1 1.848000+1 5.000000+1 1.981000+1 6.000000+1 2.085000+1 8.000000+1 2.237000+1 1.000000+2 2.345000+1 1.500000+2 2.515000+1 2.000000+2 2.616000+1 3.000000+2 2.733000+1 4.000000+2 2.800000+1 5.000000+2 2.844000+1 6.000000+2 2.876000+1 8.000000+2 2.917000+1 1.000000+3 2.944000+1 1.500000+3 2.983000+1 2.000000+3 3.005000+1 3.000000+3 3.028000+1 4.000000+3 3.040000+1 5.000000+3 3.048000+1 6.000000+3 3.053000+1 8.000000+3 3.060000+1 1.000000+4 3.065000+1 1.500000+4 3.071000+1 2.000000+4 3.074000+1 3.000000+4 3.078000+1 4.000000+4 3.079000+1 5.000000+4 3.081000+1 6.000000+4 3.081000+1 8.000000+4 3.082000+1 1.000000+5 3.083000+1 1 70000 7 8 1.730400+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 7.013440-7 2.094700+0 1.234740-6 2.099900+0 1.642640-6 2.106600+0 2.285060-6 2.114000+0 3.161660-6 2.119500+0 3.936250-6 2.127900+0 5.338300-6 2.136250+0 7.013440-6 2.147000+0 9.615920-6 2.156900+0 1.248990-5 2.169000+0 1.666860-5 2.184500+0 2.316990-5 2.201800+0 3.205620-5 2.214800+0 3.993950-5 2.234200+0 5.372580-5 2.253680+0 7.013440-5 2.281500+0 9.823560-5 2.307000+0 1.290320-4 2.338200+0 1.734950-4 2.377400+0 2.402690-4 2.410200+0 3.055820-4 2.446800+0 3.887180-4 2.485900+0 4.894170-4 2.532900+0 6.263500-4 2.556430+0 7.013440-4 2.611900+0 8.942930-4 2.660400+0 1.081150-3 2.745300+0 1.447060-3 2.809000+0 1.752480-3 2.904500+0 2.257640-3 3.000000+0 2.818000-3 3.125000+0 3.633630-3 3.234400+0 4.421170-3 3.425800+0 5.953190-3 3.569300+0 7.218190-3 3.784700+0 9.277410-3 4.000000+0 1.149000-2 4.250000+0 1.419340-2 4.625000+0 1.843880-2 5.000000+0 2.285000-2 5.500000+0 2.890420-2 6.000000+0 3.504000-2 6.750000+0 4.416920-2 7.000000+0 4.717000-2 8.000000+0 5.889000-2 9.000000+0 7.009000-2 1.000000+1 8.072000-2 1.100000+1 9.076000-2 1.200000+1 1.002000-1 1.300000+1 1.091000-1 1.400000+1 1.176000-1 1.500000+1 1.256000-1 1.600000+1 1.331000-1 1.800000+1 1.472000-1 2.000000+1 1.599000-1 2.200000+1 1.715000-1 2.400000+1 1.822000-1 2.600000+1 1.920000-1 2.800000+1 2.011000-1 3.000000+1 2.096000-1 4.000000+1 2.444000-1 5.000000+1 2.706000-1 6.000000+1 2.912000-1 8.000000+1 3.221000-1 1.000000+2 3.444000-1 1.500000+2 3.809000-1 2.000000+2 4.036000-1 3.000000+2 4.311000-1 4.000000+2 4.475000-1 5.000000+2 4.586000-1 6.000000+2 4.668000-1 8.000000+2 4.780000-1 1.000000+3 4.855000-1 1.500000+3 4.965000-1 2.000000+3 5.028000-1 3.000000+3 5.097000-1 4.000000+3 5.137000-1 5.000000+3 5.162000-1 6.000000+3 5.179000-1 8.000000+3 5.202000-1 1.000000+4 5.217000-1 1.500000+4 5.237000-1 2.000000+4 5.248000-1 3.000000+4 5.259000-1 4.000000+4 5.266000-1 5.000000+4 5.271000-1 6.000000+4 5.273000-1 8.000000+4 5.276000-1 1.000000+5 5.278000-1 1 70000 7 8 1.730400+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 70000 7 9 1.730400+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 7.000000+1 1.000000+5 7.000000+1 5.000000+5 6.996700+1 8.750000+5 6.993150+1 1.000000+6 6.992300+1 1.375000+6 6.988250+1 1.500000+6 6.986300+1 1.875000+6 6.978730+1 2.000000+6 6.975800+1 2.375000+6 6.965630+1 2.500000+6 6.962600+1 2.875000+6 6.951020+1 3.000000+6 6.946800+1 3.437500+6 6.930520+1 3.812500+6 6.915570+1 4.000000+6 6.908400+1 4.437500+6 6.889860+1 4.812500+6 6.872660+1 5.000000+6 6.864300+1 5.500000+6 6.838830+1 5.875000+6 6.818580+1 6.437500+6 6.787030+1 6.500000+6 6.783300+1 7.000000+6 6.754700+1 7.500000+6 6.725140+1 8.250000+6 6.680630+1 9.000000+6 6.635500+1 1.000000+7 6.573300+1 1.250000+7 6.417100+1 1.500000+7 6.255200+1 1.750000+7 6.092200+1 2.000000+7 5.923700+1 2.250000+7 5.749810+1 2.500000+7 5.574300+1 2.875000+7 5.313050+1 3.000000+7 5.227800+1 3.437500+7 4.935620+1 3.812500+7 4.699200+1 4.000000+7 4.586700+1 4.500000+7 4.303740+1 5.000000+7 4.044000+1 5.500000+7 3.804370+1 5.750000+7 3.690870+1 6.000000+7 3.581700+1 6.500000+7 3.373820+1 7.000000+7 3.180000+1 7.750000+7 2.914420+1 8.000000+7 2.832900+1 9.000000+7 2.539000+1 1.000000+8 2.295400+1 1.125000+8 2.052240+1 1.187500+8 1.952300+1 1.250000+8 1.865000+1 1.375000+8 1.721580+1 1.437500+8 1.661710+1 1.500000+8 1.607900+1 1.625000+8 1.513500+1 1.718800+8 1.448430+1 1.812500+8 1.384860+1 1.841800+8 1.364970+1 1.947300+8 1.292630+1 2.000000+8 1.255800+1 2.125000+8 1.168030+1 2.250000+8 1.086160+1 2.359400+8 1.023000+1 2.500000+8 9.557600+0 2.781300+8 8.536250+0 2.859400+8 8.251730+0 2.875000+8 8.193190+0 2.953100+8 7.884300+0 3.000000+8 7.687500+0 3.062500+8 7.411760+0 3.335900+8 6.284030+0 3.418000+8 6.025080+0 3.500000+8 5.817500+0 3.589800+8 5.649220+0 3.712900+8 5.489060+0 4.000000+8 5.199200+0 4.125000+8 5.053790+0 4.234400+8 4.913480+0 4.425800+8 4.655880+0 5.000000+8 3.962600+0 5.625000+8 3.440230+0 5.875000+8 3.246160+0 6.000000+8 3.146500+0 6.250000+8 2.942590+0 6.718800+8 2.601050+0 6.906300+8 2.492610+0 7.000000+8 2.445700+0 7.250000+8 2.342160+0 7.718800+8 2.181600+0 7.906300+8 2.114960+0 8.000000+8 2.079500+0 8.125000+8 2.029160+0 8.359400+8 1.929190+0 8.564500+8 1.839840+0 9.461700+8 1.493110+0 9.730800+8 1.413600+0 1.000000+9 1.347200+0 1.015600+9 1.314790+0 1.045900+9 1.262660+0 1.074300+9 1.224020+0 1.113400+9 1.183100+0 1.149200+9 1.154900+0 1.193100+9 1.128650+0 1.285100+9 1.089960+0 1.392600+9 1.051620+0 1.446300+9 1.029370+0 1.500000+9 1.003200+0 1.560500+9 9.682950-1 1.615500+9 9.331920-1 1.686000+9 8.855790-1 1.764500+9 8.315140-1 1.823400+9 7.914600-1 1.911700+9 7.337490-1 2.000000+9 6.799200-1 2.139200+9 6.038520-1 2.272600+9 5.401750-1 2.443000+9 4.700730-1 2.602800+9 4.140530-1 2.825100+9 3.489530-1 2.961100+9 3.152620-1 3.215900+9 2.622130-1 3.438900+9 2.245620-1 3.500000+9 2.154170-1 3.719500+9 1.861680-1 3.954200+9 1.601350-1 4.327700+9 1.273500-1 4.663900+9 1.046960-1 5.000000+9 8.684300-2 5.375000+9 7.116700-2 5.703100+9 6.027410-2 6.277300+9 4.582500-2 7.138700+9 3.149880-2 8.000000+9 2.249600-2 1.00000+10 1.158800-2 1.27030+10 5.703480-3 1.55700+10 3.130670-3 2.15420+10 1.209690-3 2.64460+10 6.657810-4 3.56400+10 2.806450-4 5.17300+10 9.613600-5 7.58650+10 3.222540-5 1.00000+11 1.471800-5 1.34280+11 6.404290-6 2.20600+11 1.590920-6 4.19930+11 2.654380-7 1.03480+12 2.214280-8 3.24440+12 9.83264-10 1.00000+14 9.50670-14 2.05350+15 2.64168-17 1.00000+17 6.60410-22 1 70000 7 0 1.730400+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 9.60000-12 1.000000+2 9.60000-10 1.000000+3 9.600000-8 1.000000+4 9.600000-6 1.000000+5 9.600000-4 5.000000+5 2.400000-2 8.750000+5 7.350000-2 1.000000+6 9.600000-2 1.375000+6 1.802410-1 1.500000+6 2.137000-1 1.875000+6 3.288860-1 2.000000+6 3.720000-1 2.375000+6 5.144230-1 2.500000+6 5.660000-1 2.875000+6 7.314540-1 3.000000+6 7.899000-1 3.437500+6 1.004980+0 3.812500+6 1.200370+0 4.000000+6 1.301200+0 4.437500+6 1.542070+0 4.812500+6 1.752730+0 5.000000+6 1.859000+0 5.500000+6 2.142170+0 5.875000+6 2.353700+0 6.437500+6 2.667580+0 6.500000+6 2.702020+0 7.000000+6 2.975400+0 7.500000+6 3.242790+0 8.250000+6 3.635000+0 9.000000+6 4.020400+0 1.000000+7 4.527000+0 1.250000+7 5.782500+0 1.500000+7 7.088000+0 1.750000+7 8.402700+0 2.000000+7 9.720000+0 2.250000+7 1.098750+1 2.500000+7 1.221100+1 2.875000+7 1.398890+1 3.000000+7 1.456500+1 3.437500+7 1.650060+1 3.812500+7 1.806210+1 4.000000+7 1.881000+1 4.500000+7 2.069660+1 5.000000+7 2.244300+1 5.500000+7 2.406700+1 5.750000+7 2.484180+1 6.000000+7 2.559600+1 6.500000+7 2.705000+1 7.000000+7 2.844600+1 7.750000+7 3.043530+1 8.000000+7 3.107700+1 9.000000+7 3.351900+1 1.000000+8 3.579400+1 1.125000+8 3.843230+1 1.187500+8 3.967530+1 1.250000+8 4.086900+1 1.375000+8 4.310500+1 1.437500+8 4.414290+1 1.500000+8 4.513100+1 1.625000+8 4.693820+1 1.718800+8 4.816400+1 1.812500+8 4.929060+1 1.841800+8 4.962180+1 1.947300+8 5.074480+1 2.000000+8 5.127000+1 2.125000+8 5.240950+1 2.250000+8 5.343840+1 2.359400+8 5.425200+1 2.500000+8 5.521000+1 2.781300+8 5.686140+1 2.859400+8 5.727540+1 2.875000+8 5.735330+1 2.953100+8 5.773840+1 3.000000+8 5.796600+1 3.062500+8 5.825280+1 3.335900+8 5.941110+1 3.418000+8 5.972620+1 3.500000+8 6.003500+1 3.589800+8 6.035010+1 3.712900+8 6.077200+1 4.000000+8 6.167200+1 4.125000+8 6.202720+1 4.234400+8 6.233100+1 4.425800+8 6.282750+1 5.000000+8 6.411500+1 5.625000+8 6.522450+1 5.875000+8 6.559860+1 6.000000+8 6.577100+1 6.250000+8 6.608870+1 6.718800+8 6.659640+1 6.906300+8 6.677390+1 7.000000+8 6.686100+1 7.250000+8 6.706220+1 7.718800+8 6.739410+1 7.906300+8 6.751400+1 8.000000+8 6.757300+1 8.125000+8 6.764020+1 8.359400+8 6.776350+1 8.564500+8 6.786440+1 9.461700+8 6.822780+1 9.730800+8 6.831960+1 1.000000+9 6.840900+1 1.015600+9 6.845340+1 1.045900+9 6.853790+1 1.074300+9 6.861500+1 1.113400+9 6.871800+1 1.149200+9 6.880160+1 1.193100+9 6.889630+1 1.285100+9 6.906720+1 1.392600+9 6.923730+1 1.446300+9 6.930890+1 1.500000+9 6.937800+1 1.560500+9 6.943970+1 1.615500+9 6.949380+1 1.686000+9 6.956060+1 1.764500+9 6.962150+1 1.823400+9 6.966020+1 1.911700+9 6.971580+1 2.000000+9 6.976900+1 2.139200+9 6.982760+1 2.272600+9 6.987020+1 2.443000+9 6.991420+1 2.602800+9 6.994670+1 2.825100+9 6.997660+1 2.961100+9 6.998600+1 3.215900+9 6.999970+1 3.438900+9 7.000780+1 3.500000+9 7.000740+1 3.719500+9 7.000600+1 3.954200+9 7.000450+1 4.327700+9 7.000240+1 4.663900+9 7.000060+1 5.000000+9 6.999900+1 5.375000+9 6.999920+1 5.703100+9 6.999930+1 6.277300+9 6.999950+1 7.138700+9 6.999980+1 8.000000+9 7.000000+1 1.00000+10 7.000000+1 1.27030+10 7.000000+1 1.55700+10 7.000000+1 2.15420+10 7.000000+1 2.64460+10 7.000000+1 3.56400+10 7.000000+1 5.17300+10 7.000000+1 7.58650+10 7.000000+1 1.00000+11 7.000000+1 1.34280+11 7.000000+1 2.20600+11 7.000000+1 4.19930+11 7.000000+1 1.03480+12 7.000000+1 3.24440+12 7.000000+1 1.00000+14 7.000000+1 2.05350+15 7.000000+1 1.00000+17 7.000000+1 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.510195-6 0.0 2.519463-6 3.056119+0 2.522552-6 4.061903+0 2.528730-6 7.419398+0 2.534909-6 1.251012+1 2.541087-6 1.947191+1 2.554830-6 3.897165+1 2.561042-6 4.678965+1 2.566369-6 5.155308+1 2.572635-6 5.336456+1 2.578958-6 5.085777+1 2.585491-6 4.430640+1 2.603645-6 1.906355+1 2.609437-6 1.255158+1 2.615230-6 7.673198+0 2.621408-6 4.221090+0 2.631295-6 8.582372-1 2.633765-6 1.939892-6 2.635586-6 1.564371-6 2.644975-6 3.885015-7 2.648009-6 0.0 2.707118-6 0.0 2.718778-6 7.263224+0 2.720444-6 8.290241+0 2.727107-6 1.514280+1 2.734187-6 2.641888+1 2.741267-6 4.190705+1 2.752940-6 7.343808+1 2.760840-6 9.348077+1 2.768165-6 1.055361+2 2.774231-6 1.090515+2 2.781025-6 1.042372+2 2.788050-6 9.107908+1 2.807066-6 4.070797+1 2.813729-6 2.627965+1 2.820393-6 1.566080+1 2.827056-6 8.615147+0 2.837051-6 2.190031+0 2.840382-6 3.484905-5 2.845772-6 4.070385-5 2.852641-6 4.600424-5 2.859510-6 4.799701-5 2.866379-6 4.622580-5 2.873248-6 4.109686-5 2.883552-6 2.964459-5 2.893856-6 1.786920-5 2.900725-6 1.153573-5 2.907595-6 6.874470-6 2.914464-6 3.781703-6 2.921333-6 1.920390-6 2.928202-6 0.0 3.542125-6 0.0 3.550844-6 3.24624-15 3.559562-6 6.42341-15 3.568281-6 1.17329-14 3.576999-6 1.97833-14 3.585718-6 3.07925-14 3.594436-6 4.42431-14 3.603155-6 5.86813-14 3.611873-6 7.18470-14 3.620592-6 8.12028-14 3.629310-6 8.47202-14 3.638028-6 8.15939-14 3.646747-6 7.25407-14 3.655465-6 5.95333-14 3.672902-6 3.15412-14 3.681621-6 2.03619-14 3.690339-6 1.21342-14 3.699058-6 6.67514-15 3.707776-6 3.38971-15 3.716495-6 0.0 4.134319-6 0.0 4.149583-6 1.003820-1 4.154671-6 1.334182-1 4.164847-6 2.436993-1 4.175659-6 4.251698-1 4.185781-6 6.554972-1 4.194835-6 9.129692-1 4.219144-6 2.231349+0 4.230911-6 2.990306+0 4.243587-6 3.952541+0 4.272980-6 6.290310+0 4.280198-6 6.730350+0 4.290834-6 7.060660+0 4.301187-6 6.953885+0 4.310974-6 6.450325+0 4.321327-6 5.544933+0 4.345050-6 2.939312+0 4.349361-6 2.491417+0 4.359685-6 1.608387+0 4.370010-6 9.584961-1 4.380334-6 5.272858-1 4.396743-6 1.101169-1 4.400982-6 1.629386-5 4.411140-6 8.782027-6 4.413209-6 7.629615-6 4.421561-6 4.607971-6 4.431983-6 2.339979-6 4.442404-6 0.0 4.711239-6 0.0 4.728633-6 2.273223-2 4.734431-6 3.021353-2 4.737395-6 3.658529-2 4.746027-6 1.076229-1 4.757623-6 2.148673-1 4.760716-6 2.470857-1 4.772377-6 4.182028-1 4.784037-6 6.588781-1 4.798613-6 1.053252+0 4.819019-6 1.668044+0 4.830679-6 1.962778+0 4.842340-6 2.143762+0 4.855458-6 2.155519+0 4.867118-6 2.007068+0 4.879262-6 1.717709+0 4.912302-6 7.370630-1 4.923963-6 4.706703-1 4.935623-6 2.753160-1 4.943161-6 1.879566-1 4.947284-6 1.457486-1 4.965925-6 2.974549-2 4.970605-6 2.414811-6 4.978029-6 1.121520-6 4.983332-6 5.961266-7 4.997025-6 6.630566-3 5.007863-6 3.856862-2 5.021624-6 8.348093-2 5.033923-6 1.486937-1 5.046223-6 2.449157-1 5.058522-6 3.730086-1 5.089271-6 7.531882-1 5.095421-6 8.227946-1 5.107720-6 9.151810-1 5.120020-6 9.408177-1 5.133300-6 8.851712-1 5.145935-6 7.776784-1 5.171205-6 5.053993-1 5.181518-6 4.123185-1 5.193817-6 3.435502-1 5.206117-6 3.231049-1 5.218416-6 3.438187-1 5.243015-6 4.417633-1 5.255589-6 5.032411-1 5.268462-6 5.376739-1 5.281334-6 5.420460-1 5.331164-6 4.602569-1 5.454766-6 4.370149-1 5.527052-6 4.026118-1 5.568246-6 3.901875-1 5.638688-6 3.976488-1 5.751975-6 3.624846-1 6.287789-6 2.750443-1 6.661720-6 2.289154-1 6.694514-6 1.129285+0 6.710911-6 1.874668+0 6.728333-6 3.102247+0 6.744599-6 4.659072+0 6.794401-6 1.044580+1 6.811649-6 1.171100+1 6.827428-6 1.208689+1 6.843592-6 1.157516+1 6.860978-6 1.012684+1 6.907675-6 4.642216+0 6.924072-6 3.067536+0 6.940469-6 1.908211+0 6.956866-6 1.138479+0 6.985561-6 3.159397-1 6.989660-6 1.960973-1 7.548110-6 1.526290-1 7.810729-6 1.363469-1 7.849780-6 8.751778-1 7.869005-6 1.480833+0 7.888831-6 2.434075+0 7.908395-6 3.716680+0 7.966567-6 8.319221+0 7.985928-6 9.294940+0 8.007030-6 9.571069+0 8.026157-6 9.087561+0 8.046702-6 7.872893+0 8.099106-6 3.693856+0 8.118331-6 2.487843+0 8.137556-6 1.640360+0 8.157315-6 1.133515+0 8.177198-6 9.234845-1 8.195231-6 7.717410-1 8.244523-6 1.445694+0 8.264472-6 1.671059+0 8.284421-6 1.800390+0 8.304370-6 1.805367+0 8.324319-6 1.684444+0 8.348261-6 1.407592+0 8.387614-6 8.566802-1 8.404116-6 6.483608-1 8.424065-6 4.475203-1 8.435670-6 3.603725-1 8.444014-6 3.043740-1 8.463963-6 2.068217-1 8.475434-6 1.669966-1 8.503861-6 1.026977-1 8.626148-6 9.783811-2 8.668613-6 1.264599-1 8.689845-6 1.506378-1 8.711077-6 1.877077-1 8.734840-6 2.461612-1 8.797790-6 4.332118-1 8.818773-6 4.739828-1 8.839756-6 4.877109-1 8.860739-6 4.711151-1 8.888989-6 4.104329-1 8.944672-6 2.631455-1 8.965863-6 2.281206-1 8.987095-6 2.132523-1 9.008510-6 2.168238-1 9.052748-6 2.541811-1 9.074867-6 2.802585-1 9.096986-6 2.957833-1 9.119105-6 3.012828-1 9.207580-6 2.724207-1 9.410666-6 2.576205-1 9.494105-6 2.305203-1 9.542412-6 2.594482-1 9.565390-6 2.918886-1 9.588368-6 3.497216-1 9.614130-6 4.474734-1 9.685352-6 8.096719-1 9.707267-6 8.900656-1 9.730255-6 9.272354-1 9.754324-6 9.066551-1 9.779184-6 8.295048-1 9.843611-6 5.184848-1 9.866977-6 4.215270-1 9.890343-6 3.484145-1 9.913709-6 2.985297-1 9.960441-6 2.370320-1 1.003139-5 2.310525-1 1.008077-5 2.487590-1 1.010546-5 2.641329-1 1.013015-5 2.880390-1 1.015485-5 3.211972-1 1.022892-5 4.465819-1 1.025361-5 4.753733-1 1.027830-5 4.861283-1 1.030299-5 4.790251-1 1.034680-5 4.283812-1 1.038936-5 3.689977-1 1.042806-5 3.369911-1 1.045367-5 3.340738-1 1.057224-5 3.698442-1 1.086297-5 3.433229-1 1.103645-5 3.041948-1 1.109672-5 3.036770-1 1.125734-5 3.267942-1 1.157506-5 3.209945-1 1.244515-5 3.002814-1 1.391895-5 2.878504-1 1.563401-5 2.972564-1 1.744611-5 3.280728-1 1.975710-5 3.934892-1 2.238721-5 5.018268-1 2.519426-5 6.573894-1 2.633236-5 7.302681-1 2.646199-5 2.439693+0 2.652680-5 3.849679+0 2.659550-5 6.159781+0 2.659939-5 6.334437+0 2.669760-5 2.170474+1 2.673033-5 2.698847+1 2.679580-5 4.236208+1 2.686946-5 6.652083+1 2.693493-5 9.320831+1 2.708633-5 1.610502+2 2.712725-5 1.767593+2 2.719923-5 1.931488+2 2.726073-5 1.953420+2 2.732558-5 1.840436+2 2.739415-5 1.593745+2 2.758146-5 7.070907+1 2.764693-5 4.605992+1 2.771240-5 2.858751+1 2.777787-5 1.720987+1 2.789903-5 4.687992+0 2.790881-5 3.635447+0 2.795658-5 3.887488+0 2.802390-5 4.032054+0 2.804257-5 4.017385+0 2.809122-5 4.465819+0 2.818061-5 4.948142+0 2.824964-5 5.685805+0 2.831866-5 7.056713+0 2.838768-5 9.185887+0 2.859414-5 1.812900+1 2.868324-5 2.094698+1 2.875382-5 2.182275+1 2.882475-5 2.141281+1 2.892030-5 1.945778+1 2.906626-5 1.575160+1 2.916626-5 1.429601+1 2.933515-5 1.369275+1 2.961555-5 1.311581+1 3.011875-5 1.164121+1 3.067807-5 1.045391+1 3.201527-5 8.715657+0 3.266080-5 8.130823+0 3.282158-5 1.599782+1 3.290699-5 2.316939+1 3.298738-5 3.336147+1 3.307193-5 4.811798+1 3.330643-5 9.746565+1 3.339562-5 1.093053+2 3.347378-5 1.125778+2 3.355247-5 1.080428+2 3.363802-5 9.512833+1 3.386665-5 4.666789+1 3.394704-5 3.277799+1 3.402743-5 2.259724+1 3.410782-5 1.589711+1 3.426860-5 7.840180+0 3.436741-5 8.058406+0 3.459678-5 9.033834+0 3.471609-5 9.985981+0 3.485127-5 1.156482+1 3.508540-5 1.465195+1 3.520332-5 1.547437+1 3.532595-5 1.530038+1 3.563957-5 1.339163+1 3.587524-5 1.274378+1 3.653929-5 1.206829+1 3.726666-5 1.083104+1 3.898771-5 9.530055+0 4.110529-5 8.522934+0 4.364198-5 7.773574+0 4.699358-5 7.195732+0 5.188000-5 6.842347+0 5.628463-5 6.872374+0 5.758907-5 6.949134+0 6.450000-5 7.352525+0 7.603319-5 8.581968+0 1.153242-4 1.324272+1 1.461364-4 1.608729+1 1.787626-4 1.810089+1 1.830519-4 1.914045+1 1.875530-4 1.962160+1 1.916895-4 2.082545+1 2.045000-4 2.201822+1 2.223733-4 2.169191+1 2.577837-4 2.038948+1 3.266790-4 1.985383+1 3.334986-4 2.137496+1 3.455306-4 2.086115+1 3.820622-4 2.074339+1 4.648092-4 1.998428+1 4.751349-4 2.019938+1 7.947570-4 1.496791+1 9.885530-4 1.248104+1 1.217652-3 1.025173+1 1.488145-3 8.341186+0 1.500569-3 8.501960+0 1.506939-3 9.013634+0 1.511869-3 9.873792+0 1.516859-3 1.131590+1 1.522507-3 1.366465+1 1.535653-3 2.020391+1 1.542368-3 2.267617+1 1.550399-3 2.434638+1 1.569486-3 2.666895+1 1.589534-3 3.058292+1 1.606038-3 3.192716+1 1.741631-3 3.201827+1 1.864769-3 3.001988+1 1.899838-3 2.951259+1 1.919605-3 3.070710+1 1.938515-3 3.248966+1 1.966754-3 3.220697+1 2.127576-3 2.906948+1 2.170325-3 2.978670+1 2.337199-3 2.712869+1 2.413463-3 2.701874+1 2.826506-3 2.188889+1 3.268700-3 1.788402+1 3.822231-3 1.426020+1 4.439300-3 1.143277+1 4.991327-3 9.574601+0 5.712307-3 7.786597+0 6.517222-3 6.341426+0 7.304088-3 5.297256+0 8.373388-3 4.259334+0 8.719123-3 4.004230+0 8.780479-3 4.149716+0 8.816375-3 4.471190+0 8.849441-3 5.040504+0 8.884716-3 5.970727+0 8.955071-3 8.223586+0 9.004818-3 9.350910+0 9.052531-3 9.828978+0 9.155582-3 9.891163+0 9.815943-3 8.936678+0 9.898243-3 9.300408+0 1.004473-2 1.106879+1 1.013654-2 1.146513+1 1.035142-2 1.139933+1 1.055438-2 1.232356+1 1.087403-2 1.197800+1 1.252826-2 9.599395+0 1.436109-2 7.709373+0 1.625900-2 6.299173+0 1.826752-2 5.196054+0 2.086291-2 4.161283+0 2.357166-2 3.383135+0 2.597912-2 2.865028+0 2.919528-2 2.342599+0 3.274599-2 1.919250+0 3.693259-2 1.554222+0 4.168694-2 1.255556+0 4.690833-2 1.018303+0 5.279322-2 8.243463-1 5.965920-2 6.630507-1 6.015333-2 6.682211-1 6.038656-2 7.008329-1 6.057431-2 7.664180-1 6.072902-2 8.633766-1 6.087882-2 1.005400+0 6.105692-2 1.242617+0 6.132051-2 1.710332+0 6.171658-2 2.467233+0 6.200043-2 2.864104+0 6.224645-2 3.060609+0 6.260618-2 3.164751+0 7.538850-2 2.375896+0 8.661201-2 1.893978+0 9.869902-2 1.519322+0 1.116917-1 1.231479+0 1.255213-1 1.006653+0 1.420393-1 8.129701-1 1.586337-1 6.709928-1 1.769304-1 5.550033-1 1.999033-1 4.492713-1 2.247020-1 3.670208-1 2.525236-1 3.008443-1 2.833634-1 2.477048-1 3.125377-1 2.108212-1 3.509267-1 1.747948-1 3.958599-1 1.447407-1 4.423456-1 1.223207-1 4.958068-1 1.034867-1 5.688529-1 8.543746-2 6.422583-1 7.275368-2 7.344082-1 6.154905-2 8.517507-1 5.179408-2 9.935657-1 4.394185-2 1.173413+0 3.664453-2 1.410753+0 2.984982-2 1.696098+0 2.431501-2 2.039158+0 1.980647-2 2.451607+0 1.613391-2 2.947480+0 1.314233-2 3.543651+0 1.070545-2 4.260405+0 8.720424-3 5.122134+0 7.103465-3 6.158159+0 5.786326-3 7.403736+0 4.713413-3 8.901248+0 3.839442-3 9.760024+0 3.465249-3 1.000000+1 7.140090-3 1 70000 7 0 1.730400+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-6.963611+1 2.033765-6-6.700959+1 2.317177-6-6.336417+1 2.431997-6-5.873297+1 2.481406-6-5.359489+1 2.503965-6-4.830349+1 2.522552-6-3.903128+1 2.535681-6-3.189704+1 2.542029-6-3.005501+1 2.546765-6-3.041338+1 2.551336-6-3.221232+1 2.554830-6-3.486001+1 2.560654-6-4.130457+1 2.565995-6-4.999351+1 2.577148-6-6.987265+1 2.583701-6-5.926398+1 2.588780-6-5.321356+1 2.596108-6-4.868627+1 2.602560-6-4.811902+1 2.609437-6-5.072979+1 2.643051-6-6.994993+1 2.687643-6-5.402564+1 2.701499-6-4.635089+1 2.706821-6-4.150207+1 2.709682-6-3.811668+1 2.719611-6-2.930251+1 2.729086-6-1.912781+1 2.733771-6-1.495409+1 2.734968-6-1.381765+1 2.736334-6-1.294801+1 2.741267-6-1.067926+1 2.742724-6-1.050831+1 2.743818-6-1.059794+1 2.747097-6-1.161874+1 2.747930-6-1.202890+1 2.750481-6-1.410263+1 2.752940-6-1.709377+1 2.756675-6-2.348264+1 2.759369-6-2.922356+1 2.766099-6-4.830461+1 2.772383-6-7.004920+1 2.774231-6-6.254971+1 2.782443-6-3.401182+1 2.788050-6-1.787684+1 2.789255-6-1.501935+1 2.791231-6-1.104218+1 2.792845-6-8.280055+0 2.794056-6-6.449663+0 2.795871-6-4.051513+0 2.797687-6-2.025402+0 2.798859-6-9.163486-1 2.800911-6 6.026272-1 2.802450-6 1.402308+0 2.803604-6 1.801634+0 2.805335-6 2.036174+0 2.806201-6 1.947502+0 2.810398-6 2.201378-1 2.812064-6-6.364782-1 2.812896-6-1.211371+0 2.814562-6-2.892615+0 2.817477-6-5.229287+0 2.819664-6-7.213939+0 2.820393-6-8.117876+0 2.829346-6-1.730840+1 2.838716-6-2.528490+1 2.842456-6-2.966796+1 2.847489-6-3.344579+1 2.859510-6-3.931491+1 2.880118-6-4.534070+1 2.914464-6-5.097525+1 2.974690-6-5.603516+1 3.101744-6-6.066752+1 3.418765-6-6.452248+1 4.144495-6-6.863546+1 4.216827-6-6.973915+1 4.267848-6-6.934337+1 4.332379-6-6.254854+1 4.399922-6-6.435044+1 4.503354-6-6.607264+1 4.829221-6-6.780314+1 4.912302-6-6.591799+1 5.107720-6-6.735514+1 6.506747-6-6.933434+1 6.628617-6-6.952414+1 6.757082-6-6.533391+1 6.800916-6-6.863260+1 6.813337-6-6.977084+1 6.871482-6-6.177987+1 6.915873-6-6.077244+1 7.046246-6-6.527175+1 7.816254-6-6.960102+1 7.928239-6-6.729865+1 7.982997-6-6.972233+1 8.056962-6-6.289251+1 8.115928-6-6.247906+1 8.244523-6-6.586459+1 8.444014-6-6.550125+1 9.052748-6-6.720086+1 9.787237-6-6.731356+1 1.818686-5-7.079452+1 2.252077-5-6.677554+1 2.430863-5-6.145000+1 2.519426-5-5.527183+1 2.569250-5-4.853200+1 2.600116-5-4.133849+1 2.615740-5-3.583779+1 2.627340-5-3.020058+1 2.633236-5-2.633866+1 2.642958-5-1.877249+1 2.646199-5-1.574218+1 2.651060-5-1.055069+1 2.652680-5-8.549310+0 2.655921-5-4.152626+0 2.657541-5-1.650481+0 2.658352-5-2.458722-1 2.659162-5 1.353873+0 2.659550-5 2.228516+0 2.660348-5 4.354006+0 2.661115-5 5.945611+0 2.662458-5 8.320796+0 2.666486-5 1.437469+1 2.672215-5 2.255465+1 2.673852-5 2.560097+1 2.681831-5 3.700500+1 2.686946-5 4.207064+1 2.690526-5 4.324155+1 2.693493-5 4.322027+1 2.696370-5 4.111184+1 2.699601-5 3.650042+1 2.702299-5 3.090779+1 2.705118-5 2.304509+1 2.708633-5 1.019403+1 2.709554-5 6.556882+0 2.710244-5 3.673326+0 2.711280-5-9.905547-1 2.711798-5-3.547360+0 2.712057-5-4.923985+0 2.712725-5-8.866468+0 2.717137-5-3.182905+1 2.718782-5-4.200119+1 2.720609-5-5.391077+1 2.724104-5-7.449348+1 2.726073-5-6.068217+1 2.732162-5-2.436829+1 2.733301-5-1.772073+1 2.735090-5-8.726312+0 2.736797-5-8.387871-1 2.737651-5 3.042002+0 2.738077-5 5.034451+0 2.738811-5 8.811026+0 2.739415-5 1.148108+1 2.740586-5 1.600842+1 2.742712-5 2.291546+1 2.745485-5 3.005883+1 2.748453-5 3.576255+1 2.750724-5 3.888075+1 2.753971-5 4.144582+1 2.757363-5 4.128887+1 2.763156-5 3.526534+1 2.765511-5 3.087818+1 2.770524-5 2.252064+1 2.772058-5 1.898882+1 2.777071-5 9.949449+0 2.778483-5 6.880587+0 2.779788-5 4.542107+0 2.788926-5-9.740681+0 2.790392-5-1.254791+1 2.791180-5-1.462387+1 2.792719-5-1.762414+1 2.795658-5-2.196863+1 2.802390-5-2.952272+1 2.809122-5-3.560169+1 2.826689-5-4.777678+1 2.841287-5-5.553862+1 2.855646-5-5.862150+1 2.868324-5-5.680365+1 2.889878-5-5.142086+1 2.905408-5-5.132437+1 2.939616-5-5.562355+1 3.147287-5-6.807488+1 3.196086-5-7.319778+1 3.237299-5-6.446456+1 3.257624-5-5.668980+1 3.265740-5-5.116724+1 3.271723-5-4.613625+1 3.282158-5-3.859601+1 3.291641-5-3.048524+1 3.299680-5-2.462164+1 3.308055-5-2.128931+1 3.311082-5-2.148179+1 3.314482-5-2.270794+1 3.319147-5-2.595511+1 3.323328-5-3.054011+1 3.328157-5-3.766089+1 3.335511-5-5.359210+1 3.342486-5-7.190026+1 3.346903-5-5.885513+1 3.354509-5-3.766864+1 3.356958-5-3.092711+1 3.363802-5-1.526475+1 3.365352-5-1.237939+1 3.367895-5-8.404138+0 3.369972-5-5.680851+0 3.371530-5-3.900420+0 3.373866-5-1.611047+0 3.376203-5 2.533148-1 3.378818-5 1.837993+0 3.380780-5 2.666449+0 3.382251-5 3.076853+0 3.384458-5 3.310635+0 3.385562-5 3.213213+0 3.390685-5 1.439662+0 3.392694-5 5.672141-1 3.393699-5-1.187009-2 3.394704-5-8.311740-1 3.395709-5-1.687429+0 3.399226-5-4.030861+0 3.400985-5-5.294416+0 3.401864-5-6.014662+0 3.402743-5-6.911978+0 3.410782-5-1.370796+1 3.426401-5-2.557996+1 3.429730-5-2.879937+1 3.436741-5-3.316119+1 3.452442-5-3.950432+1 3.471609-5-4.489849+1 3.495626-5-4.861696+1 3.520332-5-4.833393+1 3.556417-5-4.748232+1 3.639169-5-5.009823+1 3.969778-5-5.398076+1 4.845451-5-5.734050+1 7.150594-5-6.008532+1 1.153242-4-5.902566+1 1.775232-4-5.507065+1 1.967730-4-5.339558+1 2.223733-4-4.822987+1 2.577837-4-4.528912+1 3.280637-4-4.263977+1 3.386675-4-4.246043+1 3.777572-4-3.974764+1 4.648092-4-3.603299+1 5.416890-4-3.300896+1 6.765362-4-2.996656+1 8.579332-4-2.821650+1 1.056209-3-2.830119+1 1.217652-3-2.986826+1 1.339459-3-3.253739+1 1.413300-3-3.555025+1 1.461634-3-3.904082+1 1.488145-3-4.243665+1 1.506939-3-4.711758+1 1.524048-3-5.240805+1 1.535653-3-5.243312+1 1.560116-3-4.784306+1 1.585590-3-4.545719+1 1.613905-3-3.993928+1 1.645771-3-3.625942+1 1.709278-3-3.135806+1 1.805506-3-2.625115+1 1.864769-3-2.438285+1 1.899838-3-2.422945+1 1.933240-3-2.495571+1 1.951207-3-2.387757+1 1.987980-3-2.112007+1 2.047005-3-1.893528+1 2.113793-3-1.757877+1 2.160404-3-1.732867+1 2.216928-3-1.540637+1 2.296965-3-1.382981+1 2.377141-3-1.309044+1 2.434538-3-1.166053+1 2.545506-3-9.992562+0 2.688631-3-8.500364+0 2.870347-3-7.153263+0 3.051626-3-6.209674+0 3.268700-3-5.409428+0 3.540483-3-4.742062+0 3.822231-3-4.333954+0 4.269394-3-4.030528+0 4.774114-3-3.989659+0 5.470258-3-4.230156+0 6.245221-3-4.746747+0 7.061969-3-5.552397+0 7.725555-3-6.524581+0 8.171271-3-7.530767+0 8.451330-3-8.518822+0 8.640760-3-9.605706+0 8.748752-3-1.070368+1 8.895884-3-1.334066+1 8.939505-3-1.356970+1 8.997992-3-1.292501+1 9.098876-3-1.103013+1 9.192581-3-9.946989+0 9.345274-3-9.059402+0 9.546921-3-8.551573+0 9.737106-3-8.604480+0 9.844851-3-9.061797+0 9.971292-3-9.810806+0 1.004473-2-9.555315+0 1.020311-2-8.201696+0 1.030996-2-7.856823+0 1.045331-2-7.669172+0 1.055438-2-7.005035+0 1.068989-2-6.035207+0 1.087403-2-5.200019+0 1.116746-2-4.294569+0 1.153122-2-3.489450+0 1.195364-2-2.805401+0 1.241831-2-2.248962+0 1.282167-2-1.871651+0 1.334328-2-1.487758+0 1.391353-2-1.172394+0 1.448022-2-9.344205-1 1.520873-2-7.108596-1 1.559931-2-6.196581-1 1.625900-2-4.988358-1 1.674883-2-4.268667-1 1.725574-2-3.714262-1 1.785974-2-3.210318-1 1.826752-2-2.968184-1 1.884219-2-2.734222-1 1.953244-2-2.553533-1 2.043037-2-2.513018-1 2.145444-2-2.596457-1 2.251646-2-2.803127-1 2.429210-2-3.372139-1 2.803340-2-4.927804-1 4.506126-2-1.290097+0 5.021602-2-1.590101+0 5.386918-2-1.882812+0 5.650173-2-2.197948+0 5.822078-2-2.521153+0 5.939389-2-2.882734+0 6.003204-2-3.216498+0 6.057431-2-3.707817+0 6.118024-2-4.356786+0 6.148276-2-4.433371+0 6.185741-2-4.168400+0 6.260618-2-3.275282+0 6.319349-2-2.826528+0 6.397039-2-2.459355+0 6.511215-2-2.102133+0 6.669641-2-1.772070+0 6.879861-2-1.464978+0 7.088094-2-1.247523+0 7.335273-2-1.058954+0 7.656903-2-8.839998-1 8.030745-2-7.354232-1 8.427411-2-6.211173-1 8.886894-2-5.272787-1 9.377173-2-4.592306-1 9.869902-2-4.133126-1 1.067504-1-3.684872-1 1.175186-1-3.421997-1 1.276546-1-3.383152-1 1.525561-1-3.610314-1 2.326859-1-4.717312-1 3.125377-1-5.427531-1 4.234048-1-5.963786-1 6.422583-1-6.414182-1 1.173413+0-6.681253-1 3.543651+0-6.789455-1 1.000000+1-6.804489-1 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 4.024261+0 1.001378-6 3.840954+0 1.002241-6 3.709983+0 1.003438-6 3.512018+0 1.004467-6 3.329332+0 1.005269-6 3.180940+0 1.006300-6 2.984625+0 1.007348-6 2.781409+0 1.008442-6 2.567968+0 1.009892-6 2.288170+0 1.011089-6 2.063456+0 1.012436-6 1.821213+0 1.013484-6 1.642488+0 1.016028-6 1.250586+0 1.016799-6 1.144569+0 1.017536-6 1.049160+0 1.018272-6 9.594224-1 1.019320-6 8.414862-1 1.020667-6 7.061701-1 1.022109-6 5.806714-1 1.023424-6 4.824426-1 1.024726-6 3.991812-1 1.025586-6 3.511265-1 1.026439-6 3.084478-1 1.027286-6 2.706399-1 1.028126-6 2.372246-1 1.029786-6 1.818114-1 1.031420-6 1.390081-1 1.033029-6 1.061296-1 1.034613-6 8.097659-2 1.036172-6 6.178475-2 1.038466-6 4.121588-2 1.040706-6 2.754598-2 1.042894-6 1.845841-2 1.047119-6 8.446460-3 1.047804-6 7.456746-3 1.048484-6 6.603200-3 1.049158-6 5.870304-3 1.049827-6 5.244554-3 1.050491-6 4.714188-3 1.051148-6 4.269746-3 1.051475-6 4.076495-3 1.052124-6 3.743052-3 1.052769-6 3.474135-3 1.053089-6 3.361800-3 1.053408-6 3.263284-3 1.054044-6 3.104786-3 1.054675-6 2.994167-3 1.055301-6 2.927078-3 1.055922-6 2.899688-3 1.057155-6 2.951343-3 1.058368-6 3.126950-3 1.059562-6 3.408517-3 1.060738-6 3.781763-3 1.061895-6 4.235230-3 1.066380-6 6.710500-3 1.068518-6 8.253495-3 1.070589-6 9.953973-3 1.074602-6 1.379330-2 1.078365-6 1.801214-2 1.092473-6 3.933662-2 1.097764-6 5.037473-2 1.102393-6 6.226961-2 1.106444-6 7.517214-2 1.109988-6 8.927327-2 1.113089-6 1.047705-1 1.115803-6 1.217906-1 1.118177-6 1.403197-1 1.120255-6 1.601775-1 1.122073-6 1.810416-1 1.123664-6 2.025013-1 1.125055-6 2.241183-1 1.127339-6 2.662214-1 1.131127-6 3.576383-1 1.134973-6 4.825432-1 1.136732-6 5.511038-1 1.138988-6 6.490128-1 1.140385-6 7.146683-1 1.143178-6 8.547790-1 1.143527-6 8.728704-1 1.145971-6 1.000715+0 1.146931-6 1.050613+0 1.148764-6 1.143188+0 1.149724-6 1.189397+0 1.150641-6 1.231472+0 1.151557-6 1.271143+0 1.152779-6 1.319597+0 1.153958-6 1.360729+0 1.155049-6 1.393249+0 1.155965-6 1.416023+0 1.157318-6 1.441452+0 1.158628-6 1.456182+0 1.160024-6 1.460700+0 1.160510-6 1.459512+0 1.161898-6 1.448275+0 1.163273-6 1.425840+0 1.164572-6 1.394738+0 1.165916-6 1.353098+0 1.166594-6 1.328732+0 1.168573-6 1.246094+0 1.169653-6 1.194813+0 1.170563-6 1.148833+0 1.171764-6 1.085075+0 1.172700-6 1.033523+0 1.173903-6 9.656229-1 1.175125-6 8.956789-1 1.176401-6 8.225811-1 1.178092-6 7.273290-1 1.179314-6 6.606492-1 1.179664-6 6.420358-1 1.181627-6 5.417509-1 1.182282-6 5.101945-1 1.185250-6 3.805810-1 1.186150-6 3.458728-1 1.187009-6 3.147894-1 1.187868-6 2.856983-1 1.189483-6 2.363200-1 1.190864-6 1.993787-1 1.192278-6 1.663278-1 1.193481-6 1.417156-1 1.194281-6 1.270492-1 1.195077-6 1.136883-1 1.195870-6 1.015465-1 1.196660-6 9.053878-2 1.197447-6 8.058236-2 1.198231-6 7.159723-2 1.199012-6 6.350658-2 1.199790-6 5.623717-2 1.200565-6 4.971953-2 1.201337-6 4.388817-2 1.202105-6 3.868163-2 1.203634-6 2.991744-2 1.205151-6 2.301557-2 1.206655-6 1.762581-2 1.208148-6 1.345438-2 1.211100-6 7.838567-3 1.212194-6 6.436201-3 1.212920-6 5.666127-3 1.213642-6 5.010649-3 1.214182-6 4.586847-3 1.214542-6 4.333687-3 1.215258-6 3.892513-3 1.215972-6 3.530188-3 1.216327-6 3.375994-3 1.217038-6 3.116604-3 1.217745-6 2.917348-3 1.218450-6 2.772226-3 1.219152-6 2.675999-3 1.219851-6 2.624099-3 1.220547-6 2.612549-3 1.221935-6 2.697392-3 1.223311-6 2.908004-3 1.224677-6 3.226988-3 1.226032-6 3.640883-3 1.227377-6 4.139011-3 1.230034-6 5.354155-3 1.398137-6 1.750976-1 1.405019-6 1.959805-1 1.408461-6 2.060031-1 1.411902-6 2.141791-1 1.412762-6 2.157787-1 1.415343-6 2.191906-1 1.417494-6 2.201825-1 1.418785-6 2.198677-1 1.419645-6 2.192562-1 1.420935-6 2.177184-1 1.422226-6 2.154245-1 1.423947-6 2.111907-1 1.425667-6 2.056487-1 1.427388-6 1.988770-1 1.429109-6 1.909948-1 1.429539-6 1.888683-1 1.432174-6 1.747089-1 1.432980-6 1.700550-1 1.436206-6 1.505631-1 1.437315-6 1.437239-1 1.439863-6 1.282200-1 1.442874-6 1.110238-1 1.446315-6 9.400734-2 1.447821-6 8.769522-2 1.449273-6 8.233504-2 1.449757-6 8.071182-2 1.451477-6 7.561276-2 1.452768-6 7.247728-2 1.453628-6 7.071070-2 1.455887-6 6.726385-2 1.456639-6 6.648146-2 1.460081-6 6.500756-2 1.460941-6 6.512374-2 1.463522-6 6.644220-2 1.465243-6 6.800536-2 1.466963-6 7.000285-2 1.469156-6 7.303411-2 1.476385-6 8.504615-2 1.479238-6 9.001164-2 1.484900-6 9.948420-2 1.490473-6 1.080335-1 1.495960-6 1.157098-1 1.506761-6 1.292892-1 1.517225-6 1.413567-1 1.537498-6 1.641256-1 1.689550-6 3.495729-1 1.784582-6 5.118694-1 1.886930-6 7.524209-1 1.959457-6 9.816946-1 2.005977-6 1.163663+0 2.050313-6 1.366359+0 2.092122-6 1.587807+0 2.135832-6 1.858469+0 2.168614-6 2.092160+0 2.193201-6 2.289254+0 2.230081-6 2.623618+0 2.283701-6 3.202993+0 2.328340-6 3.798530+0 2.367399-6 4.424965+0 2.403662-6 5.116999+0 2.437129-6 5.875989+0 2.470334-6 6.763690+0 2.509701-6 8.028249+0 2.534349-6 8.982073+0 2.552836-6 9.810869+0 2.595449-6 1.213439+1 2.608295-6 1.288284+1 2.619355-6 1.350984+1 2.646182-6 1.504389+1 2.652523-6 1.545415+1 2.663614-6 1.626343+1 2.671548-6 1.692789+1 2.684231-6 1.814866+1 2.703255-6 2.032541+1 2.726296-6 2.346750+1 2.750830-6 2.749388+1 2.767242-6 3.069586+1 2.782175-6 3.406395+1 2.800515-6 3.894927+1 2.816563-6 4.409129+1 2.830605-6 4.945372+1 2.842892-6 5.499411+1 2.853643-6 6.066503+1 2.863050-6 6.641573+1 2.871281-6 7.219441+1 2.878483-6 7.795069+1 2.884785-6 8.363748+1 2.895814-6 9.545745+1 2.904085-6 1.064041+2 2.910288-6 1.162165+2 2.914941-6 1.247408+2 2.921920-6 1.399443+2 2.928899-6 1.589577+2 2.936108-6 1.840206+2 2.939713-6 1.991849+2 2.943317-6 2.164610+2 2.946922-6 2.361440+2 2.950526-6 2.585452+2 2.955337-6 2.932287+2 2.961340-6 3.452419+2 2.978227-6 5.529221+2 2.980314-6 5.852610+2 2.986572-6 6.905945+2 2.991052-6 7.727998+2 2.998378-6 9.160045+2 2.999294-6 9.343832+2 3.005704-6 1.063427+3 3.008222-6 1.113349+3 3.013821-6 1.219649+3 3.016604-6 1.268785+3 3.018876-6 1.306472+3 3.021858-6 1.351978+3 3.023776-6 1.378534+3 3.025693-6 1.402747+3 3.028022-6 1.428746+3 3.031078-6 1.456726+3 3.034640-6 1.479832+3 3.038900-6 1.493127+3 3.042563-6 1.491545+3 3.043838-6 1.488135+3 3.047477-6 1.470334+3 3.050000-6 1.451108+3 3.057362-6 1.364961+3 3.060294-6 1.319465+3 3.060991-6 1.307819+3 3.066238-6 1.211327+3 3.069399-6 1.146859+3 3.072878-6 1.071915+3 3.075810-6 1.006463+3 3.078659-6 9.416780+2 3.081998-6 8.652721+2 3.084681-6 8.041854+2 3.086290-6 7.679067+2 3.089953-6 6.870268+2 3.093158-6 6.188533+2 3.094076-6 5.998697+2 3.098390-6 5.144106+2 3.100978-6 4.664000+2 3.108268-6 3.458457+2 3.111277-6 3.027258+2 3.114188-6 2.647305+2 3.118008-6 2.203380+2 3.121884-6 1.814363+2 3.125752-6 1.484427+2 3.132546-6 1.033198+2 3.136850-6 8.225780+1 3.140023-6 7.002027+1 3.142324-6 6.273254+1 3.143795-6 5.872699+1 3.145775-6 5.409579+1 3.146549-6 5.251129+1 3.148448-6 4.914567+1 3.149872-6 4.708577+1 3.152009-6 4.470578+1 3.153077-6 4.382258+1 3.154145-6 4.313682+1 3.157942-6 4.222923+1 3.159841-6 4.263349+1 3.161740-6 4.358796+1 3.169335-6 5.276186+1 3.173985-6 6.266203+1 3.178635-6 7.608843+1 3.181270-6 8.542592+1 3.185882-6 1.051797+2 3.207312-6 2.812317+2 3.214907-6 3.954167+2 3.218705-6 4.673303+2 3.224401-6 5.973286+2 3.230097-6 7.578310+2 3.235686-6 9.490661+2 3.240605-6 1.147870+3 3.243552-6 1.281508+3 3.246365-6 1.419522+3 3.249178-6 1.567859+3 3.252432-6 1.752290+3 3.255686-6 1.950270+3 3.264374-6 2.540303+3 3.265342-6 2.610967+3 3.272619-6 3.166596+3 3.275217-6 3.372536+3 3.280176-6 3.770403+3 3.282915-6 3.989871+3 3.287042-6 4.315409+3 3.290706-6 4.594647+3 3.294534-6 4.871248+3 3.297446-6 5.068130+3 3.300964-6 5.286880+3 3.304030-6 5.457676+3 3.308702-6 5.677204+3 3.312351-6 5.810578+3 3.316602-6 5.920221+3 3.320056-6 5.971298+3 3.327703-6 5.960167+3 3.331270-6 5.897334+3 3.335927-6 5.763198+3 3.339723-6 5.613469+3 3.343403-6 5.437315+3 3.347452-6 5.212681+3 3.351377-6 4.969235+3 3.354866-6 4.735907+3 3.358230-6 4.499507+3 3.363338-6 4.126688+3 3.367325-6 3.830409+3 3.371811-6 3.498153+3 3.375299-6 3.244279+3 3.383274-6 2.692549+3 3.386729-6 2.470111+3 3.393324-6 2.079285+3 3.400510-6 1.708309+3 3.409988-6 1.307770+3 3.418320-6 1.033367+3 3.422485-6 9.204132+2 3.426651-6 8.217909+2 3.430817-6 7.360624+2 3.434983-6 6.618023+2 3.439054-6 5.989914+2 3.445161-6 5.202363+2 3.451268-6 4.567991+2 3.455623-6 4.191533+2 3.459978-6 3.867035+2 3.468310-6 3.361357+2 3.476642-6 2.968968+2 3.484973-6 2.656365+2 3.493305-6 2.400346+2 3.510112-6 1.997371+2 3.518524-6 1.834818+2 3.528432-6 1.667603+2 3.537074-6 1.539628+2 3.547288-6 1.406941+2 3.556019-6 1.307794+2 3.564750-6 1.220589+2 3.571009-6 1.164836+2 3.580396-6 1.090797+2 3.589783-6 1.026976+2 3.599675-6 9.690709+1 3.608406-6 9.244487+1 3.617788-6 8.817566+1 3.666708-6 7.011244+1 3.705752-6 5.798652+1 3.723345-6 5.343419+1 3.745042-6 4.865482+1 3.781554-6 4.208233+1 3.811225-6 3.760599+1 3.822840-6 3.604575+1 3.838489-6 3.413798+1 3.852400-6 3.265025+1 3.863084-6 3.164832+1 3.874978-6 3.067317+1 3.888903-6 2.969583+1 3.927514-6 2.745031+1 3.947338-6 2.625301+1 3.961440-6 2.531708+1 3.978773-6 2.409276+1 4.021423-6 2.117825+1 4.043599-6 1.996628+1 4.061040-6 1.918701+1 4.130624-6 1.669025+1 4.183450-6 1.498718+1 4.281807-6 1.242500+1 4.366830-6 1.054911+1 4.419433-6 9.489947+0 4.475362-6 8.422248+0 4.517855-6 7.639939+0 4.558660-6 6.891612+0 4.607335-6 5.971613+0 4.638405-6 5.348107+0 4.661193-6 4.861098+0 4.677351-6 4.495262+0 4.686812-6 4.271726+0 4.707734-6 3.750813+0 4.725000-6 3.296622+0 4.735194-6 3.023917+0 4.744021-6 2.790844+0 4.763053-6 2.332677+0 4.770500-6 2.187680+0 4.773436-6 2.138845+0 4.782242-6 2.029048+0 4.788113-6 1.993916+0 4.791049-6 1.990260+0 4.793984-6 1.997096+0 4.802791-6 2.090547+0 4.805726-6 2.149577+0 4.809150-6 2.238521+0 4.813065-6 2.369092+0 4.816367-6 2.505293+0 4.817468-6 2.556338+0 4.829210-6 3.298097+0 4.836741-6 3.990984+0 4.844733-6 4.943515+0 4.860355-6 7.552646+0 4.868369-6 9.319491+0 4.873353-6 1.057400+1 4.880145-6 1.247821+1 4.885417-6 1.410982+1 4.891692-6 1.621962+1 4.896962-6 1.812320+1 4.902163-6 2.010806+1 4.907474-6 2.222862+1 4.913262-6 2.462518+1 4.918688-6 2.692725+1 4.923938-6 2.917972+1 4.928469-6 3.112198+1 4.934211-6 3.354957+1 4.939122-6 3.556797+1 4.942857-6 3.705090+1 4.948723-6 3.925864+1 4.952821-6 4.069386+1 4.957710-6 4.227013+1 4.963345-6 4.387678+1 4.975266-6 4.642156+1 4.979108-6 4.697128+1 4.986443-6 4.763592+1 4.991443-6 4.779766+1 4.996794-6 4.771337+1 5.001164-6 4.745372+1 5.004441-6 4.715129+1 5.009357-6 4.653423+1 5.014273-6 4.573534+1 5.020223-6 4.455114+1 5.022207-6 4.410918+1 5.031148-6 4.187262+1 5.037109-6 4.020496+1 5.046050-6 3.753405+1 5.057971-6 3.384245+1 5.061925-6 3.262377+1 5.077800-6 2.795228+1 5.099516-6 2.253917+1 5.107429-6 2.090596+1 5.115095-6 1.949645+1 5.122521-6 1.828467+1 5.136910-6 1.632307+1 5.150399-6 1.487276+1 5.163046-6 1.377967+1 5.174901-6 1.293414+1 5.200000-6 1.153954+1 5.216582-6 1.081310+1 5.250621-6 9.598595+0 5.352749-6 6.691680+0 5.365924-6 6.318368+0 5.397173-6 5.487342+0 5.403799-6 5.339519+0 5.410425-6 5.209851+0 5.419142-6 5.074685+0 5.423677-6 5.023642+0 5.436929-6 4.968340+0 5.442056-6 4.990599+0 5.454588-6 5.164906+0 5.458120-6 5.247170+0 5.468714-6 5.586562+0 5.474141-6 5.814837+0 5.479320-6 6.066623+0 5.487794-6 6.546531+0 5.502339-6 7.540835+0 5.510850-6 8.197081+0 5.520732-6 8.995521+0 5.524025-6 9.264502+0 5.533944-6 1.006289+1 5.535361-6 1.017395+1 5.548690-6 1.115019+1 5.550548-6 1.127355+1 5.563551-6 1.202080+1 5.566844-6 1.217356+1 5.576726-6 1.253216+1 5.584390-6 1.270224+1 5.590650-6 1.276976+1 5.595344-6 1.277881+1 5.602386-6 1.272784+1 5.609428-6 1.260388+1 5.616251-6 1.242037+1 5.622458-6 1.220533+1 5.628666-6 1.195071+1 5.641172-6 1.134374+1 5.649469-6 1.089301+1 5.661615-6 1.020018+1 5.696637-6 8.320858+0 5.712526-6 7.664792+0 5.726518-6 7.234004+0 5.740509-6 6.952476+0 5.747505-6 6.867974+0 5.754501-6 6.819712+0 5.761497-6 6.805834+0 5.766744-6 6.816473+0 5.774614-6 6.863040+0 5.782485-6 6.941517+0 5.792978-6 7.084951+0 5.824460-6 7.621470+0 5.838638-6 7.829739+0 5.852974-6 7.975457+0 5.865518-6 8.038197+0 5.873581-6 8.046302+0 5.881645-6 8.031271+0 5.894419-6 7.967977+0 5.908411-6 7.860278+0 5.938988-6 7.592509+0 5.957090-6 7.469524+0 5.968555-6 7.414719+0 5.980019-6 7.377089+0 6.004069-6 7.339412+0 6.057586-6 7.306584+0 6.114088-6 7.221673+0 6.190957-6 7.076105+0 6.309105-6 6.790822+0 6.375891-6 6.680756+0 6.578444-6 6.406676+0 7.422443-6 5.388733+0 8.081649-6 4.752497+0 8.616087-6 4.272231+0 9.225647-6 3.754061+0 9.600000-6 3.441414+0 9.871316-6 3.212730+0 1.016840-5 2.956255+0 1.045642-5 2.697676+0 1.070057-5 2.469937+0 1.087705-5 2.299186+0 1.101249-5 2.164529+0 1.115359-5 2.020385+0 1.126951-5 1.899301+0 1.134470-5 1.819443+0 1.141520-5 1.743670+0 1.152000-5 1.629792+0 1.161449-5 1.526476+0 1.168995-5 1.444069+0 1.179956-5 1.326043+0 1.202264-5 1.108356+0 1.207099-5 1.070572+0 1.211962-5 1.039692+0 1.214168-5 1.028923+0 1.216236-5 1.021137+0 1.218145-5 1.016246+0 1.219936-5 1.013924+0 1.221617-5 1.013972+0 1.224483-5 1.019635+0 1.227195-5 1.032307+0 1.229037-5 1.045465+0 1.230176-5 1.055606+0 1.232245-5 1.078252+0 1.234943-5 1.116766+0 1.236482-5 1.143789+0 1.239008-5 1.197062+0 1.241355-5 1.257800+0 1.243779-5 1.333771+0 1.245520-5 1.397920+0 1.247586-5 1.486177+0 1.248795-5 1.544747+0 1.251108-5 1.673408+0 1.253400-5 1.826416+0 1.254935-5 1.946096+0 1.256470-5 2.082246+0 1.258005-5 2.237755+0 1.259540-5 2.416189+0 1.261075-5 2.621955+0 1.262686-5 2.873239+0 1.264317-5 3.172539+0 1.265680-5 3.464285+0 1.267215-5 3.847790+0 1.268750-5 4.301171+0 1.270285-5 4.838940+0 1.271820-5 5.478280+0 1.273355-5 6.239282+0 1.274890-5 7.145135+0 1.276425-5 8.222214+0 1.277960-5 9.500063+0 1.279495-5 1.101121+1 1.283332-5 1.604549+1 1.287170-5 2.335117+1 1.289664-5 2.958978+1 1.291080-5 3.371426+1 1.292195-5 3.727088+1 1.294037-5 4.375890+1 1.295797-5 5.066458+1 1.296153-5 5.214101+1 1.299450-5 6.706168+1 1.299834-5 6.892871+1 1.302520-5 8.259667+1 1.303605-5 8.834528+1 1.305677-5 9.949572+1 1.307289-5 1.081701+2 1.308851-5 1.164114+2 1.310463-5 1.245787+2 1.312026-5 1.320086+2 1.313415-5 1.380848+2 1.314698-5 1.431640+2 1.315399-5 1.456912+2 1.317259-5 1.514597+2 1.318712-5 1.549239+2 1.320404-5 1.577110+2 1.321779-5 1.589395+2 1.324824-5 1.582826+2 1.326244-5 1.564137+2 1.328098-5 1.525668+2 1.329609-5 1.483445+2 1.331074-5 1.434212+2 1.332686-5 1.371840+2 1.334249-5 1.304595+2 1.335420-5 1.250672+2 1.336977-5 1.175584+2 1.339011-5 1.073738+2 1.340598-5 9.931073+1 1.343078-5 8.684660+1 1.343773-5 8.343608+1 1.346947-5 6.858886+1 1.348039-5 6.383559+1 1.350122-5 5.534873+1 1.352503-5 4.666285+1 1.355197-5 3.817800+1 1.359381-5 2.769582+1 1.364096-5 1.928021+1 1.365771-5 1.699798+1 1.367446-5 1.502030+1 1.369120-5 1.330850+1 1.370795-5 1.182675+1 1.372470-5 1.054254+1 1.374144-5 9.427056+0 1.377493-5 7.605765+0 1.382097-5 5.769078+0 1.387079-5 4.417451+0 1.390891-5 3.780534+0 1.392399-5 3.633359+0 1.394236-5 3.547694+0 1.395614-5 3.560062+0 1.397321-5 3.680409+0 1.398632-5 3.862730+0 1.399921-5 4.128808+0 1.400939-5 4.406220+0 1.401724-5 4.664701+0 1.402365-5 4.906531+0 1.403206-5 5.268533+0 1.404136-5 5.731243+0 1.405283-5 6.399751+0 1.406745-5 7.422649+0 1.409058-5 9.473178+0 1.412218-5 1.325180+1 1.414989-5 1.760728+1 1.416779-5 2.097575+1 1.417402-5 2.225325+1 1.419537-5 2.703364+1 1.420873-5 3.033549+1 1.421584-5 3.218934+1 1.423452-5 3.734646+1 1.425054-5 4.207106+1 1.427456-5 4.957054+1 1.428395-5 5.260140+1 1.429737-5 5.699117+1 1.430815-5 6.054182+1 1.432230-5 6.518609+1 1.433488-5 6.926500+1 1.434845-5 7.355510+1 1.436244-5 7.780424+1 1.437708-5 8.200205+1 1.439213-5 8.598286+1 1.440845-5 8.984462+1 1.441796-5 9.184712+1 1.443511-5 9.494525+1 1.445186-5 9.728669+1 1.446611-5 9.871305+1 1.448053-5 9.960989+1 1.449234-5 9.993124+1 1.449912-5 9.994782+1 1.452197-5 9.912161+1 1.454101-5 9.744218+1 1.455024-5 9.632740+1 1.456690-5 9.386099+1 1.458477-5 9.063433+1 1.459971-5 8.754936+1 1.461891-5 8.316635+1 1.463626-5 7.890538+1 1.465795-5 7.333235+1 1.468451-5 6.637774+1 1.469265-5 6.426305+1 1.472301-5 5.659909+1 1.480970-5 3.854546+1 1.483205-5 3.503546+1 1.484545-5 3.315272+1 1.487226-5 2.985550+1 1.489907-5 2.711845+1 1.491695-5 2.556208+1 1.495270-5 2.297371+1 1.498844-5 2.091950+1 1.502419-5 1.923275+1 1.505994-5 1.779047+1 1.513144-5 1.535159+1 1.523868-5 1.241323+1 1.527065-5 1.168216+1 1.531087-5 1.085092+1 1.534564-5 1.020654+1 1.548349-5 8.226382+0 1.551454-5 7.896001+0 1.555971-5 7.494431+0 1.559783-5 7.233682+0 1.563594-5 7.048273+0 1.567405-5 6.938354+0 1.569121-5 6.912303+0 1.571695-5 6.897916+0 1.574269-5 6.909173+0 1.579557-5 6.987286+0 1.586460-5 7.111261+0 1.590806-5 7.143904+0 1.594555-5 7.118839+0 1.596118-5 7.091404+0 1.598461-5 7.030877+0 1.600805-5 6.947696+0 1.604338-5 6.783650+0 1.609326-5 6.491472+0 1.613259-5 6.233611+0 1.621162-5 5.724214+0 1.625694-5 5.474518+0 1.629064-5 5.318291+0 1.631228-5 5.231782+0 1.636097-5 5.073698+0 1.641654-5 4.942437+0 1.659587-5 4.632008+0 1.665375-5 4.519131+0 1.673840-5 4.338371+0 1.685551-5 4.075563+0 1.695701-5 3.842298+0 1.708136-5 3.564169+0 1.710625-5 3.515117+0 1.717127-5 3.410705+0 1.718901-5 3.390080+0 1.722647-5 3.360161+0 1.726518-5 3.350490+0 1.730811-5 3.365566+0 1.735138-5 3.405344+0 1.741908-5 3.499577+0 1.747972-5 3.587140+0 1.751343-5 3.624468+0 1.756188-5 3.652237+0 1.760528-5 3.645064+0 1.764579-5 3.609753+0 1.767207-5 3.573241+0 1.769786-5 3.528561+0 1.773155-5 3.459971+0 1.780770-5 3.284315+0 1.787335-5 3.139789+0 1.793391-5 3.031448+0 1.798784-5 2.959515+0 1.802436-5 2.922583+0 1.807127-5 2.885509+0 1.822638-5 2.790019+0 1.829012-5 2.744822+0 1.835606-5 2.691585+0 1.853450-5 2.529802+0 1.865440-5 2.415830+0 1.891957-5 2.171539+0 1.901195-5 2.101239+0 1.910950-5 2.038373+0 1.922782-5 1.973445+0 1.956872-5 1.808537+0 1.975520-5 1.728335+0 1.988435-5 1.680289+0 2.000920-5 1.641772+0 2.015069-5 1.610946+0 2.025487-5 1.599447+0 2.028928-5 1.597967+0 2.049335-5 1.612184+0 2.062727-5 1.640676+0 2.071334-5 1.666207+0 2.090000-5 1.740732+0 2.101662-5 1.801151+0 2.126614-5 1.968245+0 2.150972-5 2.184495+0 2.175204-5 2.457132+0 2.190000-5 2.655281+0 2.208364-5 2.939301+0 2.230179-5 3.336990+0 2.251312-5 3.791583+0 2.275000-5 4.390718+0 2.291618-5 4.874706+0 2.310831-5 5.510615+0 2.329444-5 6.215595+0 2.350000-5 7.108994+0 2.391029-5 9.316189+0 2.429523-5 1.203077+1 2.458865-5 1.466496+1 2.490709-5 1.823673+1 2.524562-5 2.307119+1 2.548057-5 2.726526+1 2.570456-5 3.207068+1 2.591455-5 3.744584+1 2.611142-5 4.343776+1 2.629598-5 5.009526+1 2.646901-5 5.745464+1 2.666047-5 6.714390+1 2.678329-5 7.440126+1 2.692586-5 8.407345+1 2.705952-5 9.460183+1 2.718483-5 1.060195+2 2.730230-5 1.183529+2 2.741244-5 1.316240+2 2.754229-5 1.498415+2 2.761248-5 1.610669+2 2.770323-5 1.772824+2 2.778830-5 1.945174+2 2.786806-5 2.127808+2 2.794283-5 2.320746+2 2.801293-5 2.523946+2 2.810283-5 2.822126+2 2.819802-5 3.194105+2 2.825217-5 3.437221+2 2.835370-5 3.970491+2 2.844254-5 4.542991+2 2.852027-5 5.152057+2 2.858829-5 5.793635+2 2.864781-5 6.461934+2 2.869988-5 7.149487+2 2.875743-5 8.048301+2 2.882021-5 9.238448+2 2.888126-5 1.066293+3 2.892705-5 1.194777+3 2.896139-5 1.305799+3 2.898715-5 1.398528+3 2.904510-5 1.641726+3 2.906442-5 1.734893+3 2.913595-5 2.143101+3 2.918961-5 2.526473+3 2.927903-5 3.350099+3 2.942211-5 5.287397+3 2.949455-5 6.621912+3 2.954201-5 7.637529+3 2.960095-5 9.054902+3 2.963672-5 9.995139+3 2.970826-5 1.203325+4 2.971725-5 1.230187+4 2.978019-5 1.423513+4 2.980514-5 1.501694+4 2.986185-5 1.678825+4 2.989374-5 1.776049+4 2.991817-5 1.848233+4 2.995307-5 1.946633+4 2.998953-5 2.041619+4 3.002970-5 2.134574+4 3.006766-5 2.208864+4 3.011760-5 2.283242+4 3.015486-5 2.319524+4 3.019376-5 2.338622+4 3.022175-5 2.340143+4 3.029055-5 2.300358+4 3.031040-5 2.277707+4 3.036405-5 2.193245+4 3.039186-5 2.137201+4 3.042281-5 2.066171+4 3.044271-5 2.016203+4 3.047614-5 1.925677+4 3.050873-5 1.830908+4 3.053595-5 1.747933+4 3.057094-5 1.637669+4 3.061108-5 1.508463+4 3.065121-5 1.378835+4 3.069204-5 1.248968+4 3.072380-5 1.150727+4 3.079638-5 9.398913+3 3.081725-5 8.836082+3 3.091248-5 6.551362+3 3.097056-5 5.397717+3 3.103551-5 4.317202+3 3.120276-5 2.410219+3 3.127149-5 1.911300+3 3.132475-5 1.607425+3 3.136616-5 1.411785+3 3.141454-5 1.220268+3 3.146292-5 1.061620+3 3.152057-5 9.068948+2 3.159777-5 7.444115+2 3.167498-5 6.195801+2 3.173176-5 5.455544+2 3.180173-5 4.701389+2 3.183658-5 4.378732+2 3.188722-5 3.962009+2 3.194027-5 3.582069+2 3.199332-5 3.251041+2 3.207531-5 2.819024+2 3.215082-5 2.491410+2 3.222957-5 2.209336+2 3.227086-5 2.082937+2 3.231215-5 1.970260+2 3.239110-5 1.790943+2 3.247005-5 1.656310+2 3.248979-5 1.629241+2 3.254900-5 1.562788+2 3.256813-5 1.545782+2 3.260161-5 1.520852+2 3.262672-5 1.505906+2 3.268322-5 1.482552+2 3.275049-5 1.469385+2 3.279892-5 1.466464+2 3.295959-5 1.464792+2 3.304821-5 1.451304+2 3.307985-5 1.442475+2 3.312998-5 1.423750+2 3.316767-5 1.405886+2 3.323919-5 1.363811+2 3.326214-5 1.348316+2 3.336470-5 1.270508+2 3.341031-5 1.232987+2 3.350420-5 1.154079+2 3.393082-5 8.437520+1 3.418020-5 7.034393+1 3.435183-5 6.175779+1 3.463060-5 4.977443+1 3.469864-5 4.732133+1 3.480758-5 4.387648+1 3.489293-5 4.163849+1 3.494197-5 4.055102+1 3.498132-5 3.978876+1 3.502812-5 3.901705+1 3.508593-5 3.828050+1 3.512838-5 3.790842+1 3.516023-5 3.773559+1 3.519324-5 3.766576+1 3.522589-5 3.772259+1 3.525751-5 3.791734+1 3.528815-5 3.826110+1 3.531782-5 3.876729+1 3.535030-5 3.955580+1 3.538792-5 4.084465+1 3.542709-5 4.272321+1 3.543734-5 4.332235+1 3.547423-5 4.592087+1 3.549976-5 4.818738+1 3.552428-5 5.079419+1 3.554692-5 5.362990+1 3.556513-5 5.625152+1 3.558615-5 5.970108+1 3.560776-5 6.377604+1 3.562625-5 6.774066+1 3.564536-5 7.235323+1 3.566388-5 7.737247+1 3.568181-5 8.280417+1 3.571657-5 9.512913+1 3.574915-5 1.091706+2 3.577969-5 1.248912+2 3.580832-5 1.422186+2 3.583517-5 1.610510+2 3.590605-5 2.252206+2 3.599863-5 3.497839+2 3.605470-5 4.543419+2 3.609763-5 5.525324+2 3.614391-5 6.785744+2 3.618501-5 8.100116+2 3.623414-5 9.936531+2 3.627389-5 1.165070+3 3.630781-5 1.328473+3 3.634286-5 1.514469+3 3.637164-5 1.680545+3 3.641624-5 1.961834+3 3.650544-5 2.609766+3 3.652146-5 2.737557+3 3.660021-5 3.408618+3 3.662895-5 3.668607+3 3.668383-5 4.180204+3 3.672076-5 4.531139+3 3.674959-5 4.805742+3 3.679079-5 5.194958+3 3.683383-5 5.591389+3 3.687068-5 5.917048+3 3.690600-5 6.212866+3 3.694822-5 6.539790+3 3.699745-5 6.876295+3 3.704130-5 7.128393+3 3.707086-5 7.270121+3 3.711279-5 7.429265+3 3.715409-5 7.535406+3 3.719466-5 7.589224+3 3.723731-5 7.591458+3 3.724617-5 7.584986+3 3.731308-5 7.461369+3 3.735587-5 7.316630+3 3.739328-5 7.151840+3 3.743792-5 6.913391+3 3.746471-5 6.750975+3 3.751330-5 6.424974+3 3.756406-5 6.049931+3 3.762037-5 5.605535+3 3.766497-5 5.241526+3 3.771514-5 4.828202+3 3.775416-5 4.509156+3 3.784336-5 3.807144+3 3.787402-5 3.579030+3 3.793255-5 3.167594+3 3.802175-5 2.609388+3 3.820205-5 1.748897+3 3.824732-5 1.585684+3 3.829671-5 1.428897+3 3.833859-5 1.311769+3 3.838459-5 1.198295+3 3.845918-5 1.043664+3 3.853960-5 9.107710+2 3.860007-5 8.293727+2 3.866762-5 7.534440+2 3.874210-5 6.843050+2 3.882418-5 6.217936+2 3.891904-5 5.630063+2 3.902558-5 5.096743+2 3.912882-5 4.675297+2 3.923205-5 4.326126+2 3.930665-5 4.110853+2 3.939613-5 3.887966+2 3.948876-5 3.693457+2 3.953856-5 3.602903+2 3.963517-5 3.453149+2 3.975345-5 3.312798+2 3.986082-5 3.221860+2 3.995835-5 3.164711+2 4.002993-5 3.135232+2 4.013662-5 3.105582+2 4.043234-5 3.056445+2 4.055284-5 3.030754+2 4.067995-5 2.994783+2 4.093463-5 2.903088+2 4.128826-5 2.776692+2 4.212921-5 2.547779+2 4.267675-5 2.408167+2 4.303269-5 2.330905+2 4.374719-5 2.200677+2 4.473304-5 2.054742+2 4.587992-5 1.918891+2 4.704032-5 1.805613+2 4.837360-5 1.698706+2 4.966958-5 1.609499+2 5.110039-5 1.524612+2 5.263885-5 1.447053+2 5.451084-5 1.366362+2 5.650000-5 1.291985+2 5.841985-5 1.231133+2 6.175400-5 1.140513+2 6.225300-5 1.131070+2 6.259636-5 1.127591+2 6.333643-5 1.124769+2 6.383505-5 1.119590+2 6.486559-5 1.099879+2 6.592530-5 1.084364+2 6.802468-5 1.060153+2 7.024729-5 1.042150+2 7.318078-5 1.030228+2 7.561800-5 1.028929+2 7.919329-5 1.040559+2 8.328730-5 1.072766+2 8.709636-5 1.117662+2 9.120108-5 1.179217+2 9.600000-5 1.266235+2 1.023293-4 1.400006+2 1.087673-4 1.553473+2 1.172698-4 1.779684+2 1.354815-4 2.337275+2 1.445440-4 2.636647+2 1.536000-4 2.937917+2 1.644822-4 3.291711+2 1.730422-4 3.555654+2 1.802315-4 3.757558+2 1.852270-4 3.883816+2 1.886544-4 3.954967+2 1.919899-4 4.013068+2 1.932561-4 4.060469+2 1.942843-4 4.123396+2 1.968232-4 4.331218+2 1.977153-4 4.393029+2 1.986164-4 4.441297+2 2.011829-4 4.536640+2 2.030100-4 4.629436+2 2.040901-4 4.713401+2 2.071746-4 5.018810+2 2.084787-4 5.126940+2 2.107141-4 5.268791+2 2.155835-4 5.548736+2 2.213361-4 5.873841+2 2.270000-4 6.146942+2 2.333536-4 6.385424+2 2.400982-4 6.576997+2 2.481746-4 6.757462+2 2.580000-4 6.936421+2 3.080000-4 7.707447+2 3.244394-4 7.917681+2 3.358392-4 7.992990+2 3.431740-4 7.959530+2 3.450511-4 7.981118+2 3.464494-4 8.032730+2 3.477816-4 8.116624+2 3.493941-4 8.258313+2 3.523648-4 8.556509+2 3.533815-4 8.643738+2 3.552418-4 8.763442+2 3.573947-4 8.843525+2 3.820000-4 9.344211+2 4.020835-4 9.673404+2 4.252808-4 1.020211+3 4.457819-4 1.055734+3 4.738327-4 1.093437+3 4.906601-4 1.111678+3 5.011872-4 1.130495+3 5.126370-4 1.154700+3 5.341230-4 1.187440+3 5.688529-4 1.227516+3 6.112938-4 1.265120+3 6.597433-4 1.297283+3 7.120328-4 1.321129+3 7.658812-4 1.335109+3 8.252062-4 1.337456+3 8.853386-4 1.332783+3 9.500774-4 1.320399+3 1.011580-3 1.300990+3 1.080068-3 1.269648+3 1.139102-3 1.232800+3 1.203996-3 1.184000+3 1.261192-3 1.132453+3 1.314468-3 1.075303+3 1.358181-3 1.019713+3 1.396210-3 9.622482+2 1.430460-3 9.010883+2 1.459861-3 8.399096+2 1.482594-3 7.846956+2 1.504873-3 7.212323+2 1.520472-3 6.692154+2 1.532189-3 6.240064+2 1.543087-3 5.750843+2 1.551464-3 5.316438+2 1.558421-3 4.917670+2 1.563518-3 4.613907+2 1.572447-3 4.113988+2 1.574725-3 4.006731+2 1.576799-3 3.920921+2 1.578771-3 3.851883+2 1.580415-3 3.805036+2 1.581983-3 3.770381+2 1.583604-3 3.745641+2 1.585601-3 3.731737+2 1.587670-3 3.737656+2 1.589853-3 3.767101+2 1.592190-3 3.825304+2 1.594657-3 3.916116+2 1.596386-3 3.996906+2 1.598473-3 4.111887+2 1.600871-3 4.265325+2 1.605609-3 4.621803+2 1.613129-3 5.268068+2 1.617171-3 5.622758+2 1.619947-3 5.860725+2 1.624009-3 6.196406+2 1.626795-3 6.417825+2 1.630765-3 6.723943+2 1.653627-3 8.610067+2 1.661913-3 9.406579+2 1.667184-3 9.913530+2 1.672127-3 1.037019+3 1.678804-3 1.093966+3 1.685491-3 1.144459+3 1.695004-3 1.205585+3 1.705989-3 1.264458+3 1.723344-3 1.343554+3 1.746260-3 1.436524+3 1.778279-3 1.555661+3 1.798871-3 1.624940+3 1.820000-3 1.686470+3 1.841459-3 1.736407+3 1.860715-3 1.769893+3 1.883649-3 1.797351+3 1.906714-3 1.813859+3 1.926867-3 1.819823+3 1.948664-3 1.817782+3 1.975786-3 1.812309+3 1.989158-3 1.820632+3 1.997653-3 1.833398+3 2.006365-3 1.852661+3 2.022812-3 1.900960+3 2.043926-3 1.967949+3 2.064573-3 2.022660+3 2.077659-3 2.049348+3 2.097152-3 2.079335+3 2.119292-3 2.103465+3 2.148204-3 2.124898+3 2.175688-3 2.136719+3 2.226889-3 2.148437+3 2.253185-3 2.168992+3 2.312939-3 2.242250+3 2.329008-3 2.256170+3 2.357585-3 2.273399+3 2.387541-3 2.283700+3 2.450591-3 2.289710+3 2.476868-3 2.305950+3 2.514718-3 2.344745+3 2.536064-3 2.362517+3 2.567890-3 2.380626+3 2.647183-3 2.405675+3 2.746313-3 2.420670+3 2.852044-3 2.422873+3 2.985383-3 2.415601+3 3.215400-3 2.386112+3 3.388442-3 2.354028+3 3.672823-3 2.286947+3 3.845918-3 2.243585+3 4.091523-3 2.175122+3 4.518559-3 2.055274+3 4.693765-3 2.007599+3 5.040806-3 1.910918+3 5.257274-3 1.853056+3 5.717254-3 1.732289+3 6.230351-3 1.603458+3 6.518688-3 1.534258+3 6.790082-3 1.471003+3 7.053399-3 1.411515+3 7.330695-3 1.348630+3 7.577854-3 1.293560+3 7.796955-3 1.244340+3 7.997464-3 1.198856+3 8.180310-3 1.156480+3 8.342362-3 1.117342+3 8.476831-3 1.083302+3 8.591372-3 1.052611+3 8.694286-3 1.023027+3 8.778848-3 9.964977+2 8.848449-3 9.722967+2 8.908877-3 9.485325+2 8.960616-3 9.250881+2 9.021042-3 8.929060+2 9.144468-3 8.200610+2 9.179924-3 8.052771+2 9.203971-3 7.991033+2 9.222603-3 7.968236+2 9.249277-3 7.975199+2 9.282596-3 8.045431+2 9.315914-3 8.170250+2 9.401427-3 8.592172+2 9.434260-3 8.743303+2 9.465132-3 8.865755+2 9.502230-3 8.985095+2 9.541216-3 9.080027+2 9.592351-3 9.166004+2 9.653560-3 9.226880+2 9.716280-3 9.255851+2 9.779200-3 9.259559+2 9.860202-3 9.233717+2 9.937188-3 9.179131+2 1.000363-2 9.106516+2 1.006863-2 9.008759+2 1.016313-2 8.816006+2 1.025652-2 8.608507+2 1.030816-2 8.531409+2 1.035088-2 8.508681+2 1.039902-2 8.532933+2 1.045580-2 8.615423+2 1.055642-2 8.797798+2 1.062558-2 8.879226+2 1.082234-2 8.978167+2 1.091157-2 9.094704+2 1.105387-2 9.331533+2 1.114812-2 9.442350+2 1.121451-2 9.492847+2 1.138548-2 9.557903+2 1.160991-2 9.569025+2 1.187674-2 9.527288+2 1.227792-2 9.397572+2 1.273903-2 9.191926+2 1.320928-2 8.952257+2 1.391944-2 8.562965+2 1.483505-2 8.052134+2 1.606306-2 7.395206+2 1.772325-2 6.601932+2 1.984675-2 5.747333+2 2.222670-2 4.970615+2 2.427477-2 4.416929+2 2.662625-2 3.879505+2 3.003926-2 3.246771+2 3.368140-2 2.723614+2 3.650433-2 2.399198+2 3.944903-2 2.112712+2 4.262727-2 1.850454+2 4.799434-2 1.501398+2 5.173404-2 1.309883+2 5.459767-2 1.181036+2 5.680697-2 1.088214+2 5.840495-2 1.022294+2 5.963253-2 9.703818+1 6.060308-2 9.262691+1 6.102295-2 9.052369+1 6.135287-2 8.871539+1 6.162363-2 8.708300+1 6.199849-2 8.455195+1 6.278357-2 7.885338+1 6.304542-2 7.742546+1 6.325186-2 7.670676+1 6.348894-2 7.640547+1 6.371223-2 7.662456+1 6.400108-2 7.748084+1 6.476978-2 8.072191+1 6.516330-2 8.193740+1 6.559616-2 8.274374+1 6.623283-2 8.323278+1 6.705362-2 8.320689+1 6.819781-2 8.256156+1 7.007398-2 8.081981+1 7.223857-2 7.832633+1 7.485701-2 7.502158+1 7.834102-2 7.055743+1 8.386751-2 6.383435+1 9.145082-2 5.574682+1 1.002112-1 4.797347+1 1.111339-1 4.019750+1 1.255213-1 3.239264+1 1.671962-1 1.924729+1 2.087078-1 1.280487+1 2.532922-1 8.904740+0 3.295244-1 5.384626+0 4.601461-1 2.819340+0 7.165760-1 1.184447+0 1.173413+0 4.473059-1 2.235892+0 1.241143-1 6.752287+0 1.364542-2 2.039158+1 1.496588-3 6.158159+1 1.641024-4 1.859734+2 1.799352-5 5.616308+2 1.972951-6 1.995262+3 1.563213-7 6.309573+3 1.563213-8 1.995262+4 1.563213-9 6.309573+4 1.56321-10 1.000000+5 6.22326-11 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.018000-6 1.258900-6 3.198400-6 1.584900-6 5.069100-6 1.995300-6 8.033900-6 2.511900-6 1.273300-5 3.162300-6 2.018000-5 3.981100-6 3.198300-5 5.011900-6 5.069000-5 6.309600-6 8.033700-5 7.943300-6 1.273200-4 1.000000-5 2.017900-4 1.258900-5 3.198200-4 1.584900-5 5.066600-4 1.995300-5 8.025700-4 2.511900-5 1.271400-3 3.162300-5 2.014300-3 3.981100-5 3.191700-3 5.011900-5 5.057500-3 6.309600-5 8.014100-3 7.943300-5 1.268800-2 1.000000-4 2.008000-2 1.258900-4 3.174300-2 1.584900-4 5.007000-2 1.995300-4 7.888500-2 2.511900-4 1.238300-1 3.162300-4 1.933200-1 3.981100-4 2.989500-1 5.011900-4 4.551600-1 6.309600-4 6.782300-1 7.943300-4 9.833700-1 1.000000-3 1.379600+0 1.258900-3 1.870400+0 1.584900-3 2.467400+0 1.995300-3 3.207100+0 2.511900-3 4.131500+0 3.162300-3 5.276400+0 3.981100-3 6.652600+0 5.011900-3 8.275900+0 6.309600-3 1.012300+1 7.943300-3 1.216400+1 1.000000-2 1.436400+1 1.258900-2 1.672900+1 1.584900-2 1.920700+1 1.995300-2 2.180100+1 2.511900-2 2.428100+1 3.162300-2 2.645800+1 3.981100-2 2.815400+1 5.011900-2 2.937000+1 6.309600-2 3.027400+1 7.943300-2 3.055800+1 1.000000-1 3.032300+1 1.258900-1 2.961200+1 1.584900-1 2.850900+1 1.995300-1 2.710900+1 2.511900-1 2.549800+1 3.162300-1 2.375700+1 3.981100-1 2.194400+1 5.011900-1 2.012000+1 6.309600-1 1.831800+1 7.943300-1 1.656700+1 1.000000+0 1.488400+1 1.258900+0 1.328500+1 1.584900+0 1.178000+1 1.995300+0 1.037600+1 2.511900+0 9.081300+0 3.162300+0 7.898100+0 3.981100+0 6.828100+0 5.011900+0 5.870000+0 6.309600+0 5.019500+0 7.943300+0 4.271900+0 1.000000+1 3.619500+0 1.258900+1 3.054200+0 1.584900+1 2.567800+0 1.995300+1 2.151700+0 2.511900+1 1.797600+0 3.162300+1 1.497700+0 3.981100+1 1.244800+0 5.011900+1 1.032400+0 6.309600+1 8.544200-1 7.943300+1 7.058700-1 1.000000+2 5.821800-1 1.258900+2 4.794400-1 1.584900+2 3.942800-1 1.995300+2 3.238400-1 2.511900+2 2.656700-1 3.162300+2 2.177100-1 3.981100+2 1.782300-1 5.011900+2 1.457700-1 6.309600+2 1.191200-1 7.943300+2 9.726300-2 1.000000+3 7.935400-2 1.258900+3 6.469700-2 1.584900+3 5.271100-2 1.995300+3 4.291800-2 2.511900+3 3.492300-2 3.162300+3 2.840100-2 3.981100+3 2.308400-2 5.011900+3 1.875300-2 6.309600+3 1.522700-2 7.943300+3 1.235800-2 1.000000+4 1.002500-2 1.258900+4 8.128400-3 1.584900+4 6.588200-3 1.995300+4 5.337700-3 2.511900+4 4.322800-3 3.162300+4 3.499600-3 3.981100+4 2.832200-3 5.011900+4 2.291300-3 6.309600+4 1.853000-3 7.943300+4 1.498100-3 1.000000+5 1.210800-3 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510164-4 3.162278-4 3.159548-4 3.981072-4 3.976771-4 5.011872-4 5.005078-4 6.309573-4 6.298900-4 7.943282-4 7.926587-4 1.000000-3 9.973927-4 1.258925-3 1.254864-3 1.584893-3 1.578555-3 1.995262-3 1.985358-3 2.511886-3 2.496307-3 3.162278-3 3.137843-3 3.981072-3 3.942730-3 5.011872-3 4.951812-3 6.309573-3 6.215615-3 7.943282-3 7.797189-3 1.000000-2 9.772937-3 1.258925-2 1.223664-2 1.584893-2 1.530136-2 1.995262-2 1.910705-2 2.511886-2 2.381858-2 3.162278-2 2.963848-2 3.981072-2 3.680544-2 5.011872-2 4.559381-2 6.309573-2 5.632208-2 7.943282-2 6.936891-2 1.000000-1 8.517523-2 1.258925-1 1.042503-1 1.584893-1 1.271867-1 1.995262-1 1.546594-1 2.511886-1 1.874335-1 3.162278-1 2.264315-1 3.981072-1 2.726363-1 5.011872-1 3.272659-1 6.309573-1 3.917419-1 7.943282-1 4.676474-1 1.000000+0 5.570556-1 1.258925+0 6.623700-1 1.584893+0 7.867054-1 1.995262+0 9.338166-1 2.511886+0 1.108389+0 3.162278+0 1.316113+0 3.981072+0 1.564074+0 5.011872+0 1.860969+0 6.309573+0 2.217249+0 7.943282+0 2.645665+0 1.000000+1 3.162283+0 1.258925+1 3.786345+0 1.584893+1 4.541513+0 1.995262+1 5.456765+0 2.511886+1 6.567612+0 3.162278+1 7.917385+0 3.981072+1 9.560091+0 5.011872+1 1.156082+1 6.309573+1 1.400051+1 7.943282+1 1.697816+1 1.000000+2 2.061546+1 1.258925+2 2.506261+1 1.584893+2 3.050423+1 1.995262+2 3.716779+1 2.511886+2 4.533296+1 3.162278+2 5.534553+1 3.981072+2 6.763005+1 5.011872+2 8.271341+1 6.309573+2 1.012429+2 7.943282+2 1.240186+2 1.000000+3 1.520265+2 1.258925+3 1.864908+2 1.584893+3 2.289169+2 1.995262+3 2.811749+2 2.511886+3 3.455527+2 3.162278+3 4.249350+2 3.981072+3 5.228222+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88211-10 1.995262-5 1.090661-9 2.511886-5 1.728552-9 3.162278-5 2.739585-9 3.981072-5 4.341969-9 5.011872-5 6.881498-9 6.309573-5 1.090611-8 7.943282-5 1.728013-8 1.000000-4 2.738018-8 1.258925-4 4.337657-8 1.584893-4 6.869224-8 1.995262-4 1.087918-7 2.511886-4 1.722024-7 3.162278-4 2.730021-7 3.981072-4 4.301169-7 5.011872-4 6.794554-7 6.309573-4 1.067358-6 7.943282-4 1.669527-6 1.000000-3 2.607282-6 1.258925-3 4.061605-6 1.584893-3 6.338322-6 1.995262-3 9.904393-6 2.511886-3 1.557987-5 3.162278-3 2.443434-5 3.981072-3 3.834202-5 5.011872-3 6.006013-5 6.309573-3 9.395860-5 7.943282-3 1.460935-4 1.000000-2 2.270630-4 1.258925-2 3.526146-4 1.584893-2 5.475678-4 1.995262-2 8.455751-4 2.511886-2 1.300282-3 3.162278-2 1.984300-3 3.981072-2 3.005282-3 5.011872-2 4.524918-3 6.309573-2 6.773652-3 7.943282-2 1.006392-2 1.000000-1 1.482477-2 1.258925-1 2.164227-2 1.584893-1 3.130257-2 1.995262-1 4.486680-2 2.511886-1 6.375512-2 3.162278-1 8.979624-2 3.981072-1 1.254708-1 5.011872-1 1.739214-1 6.309573-1 2.392154-1 7.943282-1 3.266808-1 1.000000+0 4.429444-1 1.258925+0 5.965554-1 1.584893+0 7.981878-1 1.995262+0 1.061446+0 2.511886+0 1.403497+0 3.162278+0 1.846164+0 3.981072+0 2.416998+0 5.011872+0 3.150903+0 6.309573+0 4.092324+0 7.943282+0 5.297618+0 1.000000+1 6.837717+0 1.258925+1 8.802909+0 1.584893+1 1.130742+1 1.995262+1 1.449586+1 2.511886+1 1.855125+1 3.162278+1 2.370539+1 3.981072+1 3.025063+1 5.011872+1 3.855791+1 6.309573+1 4.909522+1 7.943282+1 6.245467+1 1.000000+2 7.938454+1 1.258925+2 1.008299+2 1.584893+2 1.279851+2 1.995262+2 1.623584+2 2.511886+2 2.058557+2 3.162278+2 2.608822+2 3.981072+2 3.304771+2 5.011872+2 4.184738+2 6.309573+2 5.297145+2 7.943282+2 6.703096+2 1.000000+3 8.479735+2 1.258925+3 1.072435+3 1.584893+3 1.355976+3 1.995262+3 1.714087+3 2.511886+3 2.166334+3 3.162278+3 2.737343+3 3.981072+3 3.458250+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.030000-6 4.170871+6 4.160000-6 4.274298+6 4.365158-6 4.402383+6 4.450000-6 4.442505+6 4.450000-6 6.591137+6 4.600000-6 6.742215+6 4.677351-6 6.810611+6 4.850000-6 6.946738+6 4.897788-6 6.978727+6 5.128614-6 7.113756+6 5.200000-6 7.150034+6 5.432503-6 7.244613+6 5.559043-6 7.287272+6 5.754399-6 7.337701+6 6.025596-6 7.391634+6 6.200000-6 7.414317+6 6.330000-6 7.425029+6 6.330000-6 1.272276+7 6.606934-6 1.186888+7 7.200000-6 1.051505+7 7.244360-6 1.043440+7 7.328245-6 1.028607+7 7.852356-6 9.510164+6 8.035261-6 9.291207+6 8.222426-6 9.088025+6 8.609938-6 8.719364+6 8.810489-6 8.552556+6 9.120108-6 8.323760+6 9.440609-6 8.111824+6 9.660509-6 7.978951+6 1.000000-5 7.794674+6 1.023293-5 7.674950+6 1.059254-5 7.501296+6 1.083927-5 7.392966+6 1.109175-5 7.284061+6 1.161449-5 7.072214+6 1.202264-5 6.912814+6 1.258925-5 6.702543+6 1.288250-5 6.593902+6 1.348963-5 6.375704+6 1.364583-5 6.318592+6 1.428894-5 6.086541+6 1.445440-5 6.026348+6 1.513561-5 5.781285+6 1.531087-5 5.717769+6 1.590000-5 5.504548+6 1.603245-5 5.459098+6 1.621810-5 5.392175+6 1.659587-5 5.254827+6 1.690000-5 5.149480+6 1.698244-5 5.119848+6 1.717908-5 5.047670+6 1.732000-5 4.997214+6 1.732000-5 5.909142+6 1.778279-5 5.713203+6 1.800000-5 5.618374+6 1.830000-5 5.493311+6 1.862087-5 5.365074+6 1.883649-5 5.279286+6 1.896000-5 5.229764+6 1.896000-5 5.835224+6 1.935000-5 5.669701+6 1.950000-5 5.608265+6 1.972423-5 5.516140+6 1.990000-5 5.446770+6 1.995262-5 5.426322+6 2.041738-5 5.243927+6 2.070000-5 5.136641+6 2.090000-5 5.063488+6 2.113489-5 4.979904+6 2.137962-5 4.893460+6 2.162719-5 4.808682+6 2.190000-5 4.716497+6 2.238721-5 4.561894+6 2.250000-5 4.526204+6 2.270000-5 4.464159+6 2.290868-5 4.402842+6 2.300000-5 4.375805+6 2.350000-5 4.232996+6 2.371374-5 4.175573+6 2.420000-5 4.047948+6 2.426610-5 4.031177+6 2.470000-5 3.923777+6 2.500000-5 3.853723+6 2.511886-5 3.826670+6 2.570396-5 3.698211+6 2.580000-5 3.678286+6 2.600160-5 3.636318+6 2.660725-5 3.519172+6 2.691535-5 3.463807+6 2.754229-5 3.357197+6 2.770000-5 3.331611+6 2.786121-5 3.305996+6 2.851018-5 3.211150+6 2.884032-5 3.166968+6 2.917427-5 3.124503+6 2.951209-5 3.083498+6 2.985383-5 3.044123+6 3.054921-5 2.972911+6 3.090295-5 2.940650+6 3.126079-5 2.911376+6 3.162278-5 2.882460+6 3.198895-5 2.856227+6 3.273407-5 2.809697+6 3.311311-5 2.789933+6 3.349654-5 2.773180+6 3.400000-5 2.752634+6 3.422000-5 2.745201+6 3.422000-5 1.569052+7 3.427678-5 1.559862+7 3.450000-5 1.524472+7 3.507519-5 1.438949+7 3.589219-5 1.329978+7 3.630781-5 1.281542+7 3.650000-5 1.260149+7 3.715352-5 1.191927+7 3.758374-5 1.150381+7 3.801894-5 1.112331+7 3.845918-5 1.076246+7 3.890451-5 1.042024+7 3.935501-5 1.009463+7 3.981072-5 9.785547+6 4.000000-5 9.662674+6 4.152000-5 8.802354+6 4.152000-5 1.445873+7 4.168694-5 1.429706+7 4.220000-5 1.382005+7 4.265795-5 1.341909+7 4.315191-5 1.301089+7 4.415704-5 1.224578+7 4.466836-5 1.189107+7 4.500000-5 1.167161+7 4.518559-5 1.155262+7 4.623810-5 1.092604+7 4.720000-5 1.041554+7 4.731513-5 1.035831+7 4.786301-5 1.009580+7 4.800000-5 1.003238+7 5.011872-5 9.175635+6 5.069907-5 8.973169+6 5.128614-5 8.780441+6 5.308844-5 8.271054+6 5.400000-5 8.048625+6 5.500000-5 7.829286+6 5.623413-5 7.596301+6 5.650000-5 7.551037+6 5.688529-5 7.487301+6 5.800000-5 7.317699+6 5.888437-5 7.198341+6 5.900000-5 7.184181+6 6.000000-5 7.071741+6 6.025596-5 7.045663+6 6.165950-5 6.917340+6 6.237348-5 6.862756+6 6.309573-5 6.811903+6 6.382635-5 6.768635+6 6.400000-5 6.759253+6 6.456542-5 6.731005+6 6.634000-5 6.659986+6 6.634000-5 6.718703+6 6.683439-5 6.703416+6 6.760830-5 6.682564+6 6.800000-5 6.674078+6 6.839116-5 6.666773+6 6.850000-5 6.664940+6 6.918310-5 6.655727+6 6.970000-5 6.649651+6 7.079458-5 6.643201+6 7.161434-5 6.644735+6 7.190000-5 6.645226+6 7.300000-5 6.651534+6 7.328245-5 6.654122+6 7.413102-5 6.664487+6 7.473600-5 6.672676+6 7.500000-5 6.676810+6 7.650000-5 6.705745+6 7.673615-5 6.709947+6 7.800000-5 6.735752+6 7.852356-5 6.748544+6 7.900000-5 6.761270+6 8.128305-5 6.823451+6 8.150000-5 6.828989+6 8.222426-5 6.848905+6 8.300000-5 6.871465+6 8.317638-5 6.876776+6 8.511380-5 6.932173+6 8.609938-5 6.964195+6 8.709636-5 6.992591+6 8.810489-5 7.022729+6 8.912509-5 7.050521+6 9.120108-5 7.112451+6 9.225714-5 7.139673+6 9.300000-5 7.159571+6 9.440609-5 7.193904+6 9.660509-5 7.250586+6 9.772372-5 7.275718+6 9.800000-5 7.282033+6 9.900000-5 7.301674+6 1.000000-4 7.322078+6 1.011579-4 7.346778+6 1.023293-4 7.372228+6 1.035142-4 7.393643+6 1.040000-4 7.402558+6 1.047129-4 7.413730+6 1.060000-4 7.434199+6 1.083927-4 7.473993+6 1.096478-4 7.490769+6 1.109175-4 7.508076+6 1.122018-4 7.521969+6 1.135011-4 7.536548+6 1.161449-4 7.567547+6 1.174898-4 7.579305+6 1.190000-4 7.592994+6 1.240000-4 7.628188+6 1.244515-4 7.631537+6 1.258925-4 7.637410+6 1.273503-4 7.643425+6 1.303167-4 7.648938+6 1.318257-4 7.652388+6 1.330000-4 7.655177+6 1.333521-4 7.654906+6 1.350000-4 7.653671+6 1.364583-4 7.649018+6 1.380384-4 7.644322+6 1.396368-4 7.639975+6 1.412538-4 7.635761+6 1.428894-4 7.626350+6 1.430000-4 7.625724+6 1.445440-4 7.617201+6 1.462177-4 7.603931+6 1.479108-4 7.590961+6 1.500000-4 7.575308+6 1.531087-4 7.542802+6 1.540000-4 7.533676+6 1.566751-4 7.500062+6 1.603245-4 7.456073+6 1.609700-4 7.446862+6 1.640590-4 7.403527+6 1.650000-4 7.390614+6 1.678804-4 7.346475+6 1.698244-4 7.317306+6 1.717908-4 7.283315+6 1.720000-4 7.279734+6 1.757924-4 7.216067+6 1.760000-4 7.212641+6 1.798871-4 7.142363+6 1.800000-4 7.140356+6 1.819701-4 7.105702+6 1.840772-4 7.069169+6 1.883649-4 6.988645+6 1.900000-4 6.958729+6 1.905461-4 6.948047+6 1.927525-4 6.905412+6 1.949845-4 6.863049+6 1.950000-4 6.862757+6 1.972423-4 6.816248+6 1.980000-4 6.800724+6 1.993200-4 6.773943+6 1.993200-4 7.125549+6 2.000000-4 7.113094+6 2.002000-4 7.109446+6 2.010000-4 7.096880+6 2.018366-4 7.085793+6 2.020000-4 7.083387+6 2.030000-4 7.071159+6 2.041738-4 7.059615+6 2.065380-4 7.042169+6 2.080000-4 7.032936+6 2.089296-4 7.025745+6 2.089600-4 7.025460+6 2.093800-4 7.021578+6 2.093800-4 7.237429+6 2.095000-4 7.237233+6 2.105000-4 7.233643+6 2.113489-4 7.229206+6 2.115000-4 7.228453+6 2.128000-4 7.219005+6 2.137962-4 7.209689+6 2.138000-4 7.209655+6 2.150000-4 7.196045+6 2.151300-4 7.194434+6 2.165000-4 7.174466+6 2.180000-4 7.150247+6 2.187762-4 7.135407+6 2.195000-4 7.121820+6 2.198000-4 7.115848+6 2.208000-4 7.094394+6 2.213095-4 7.082893+6 2.218000-4 7.071916+6 2.220000-4 7.067160+6 2.230000-4 7.040291+6 2.240000-4 7.012312+6 2.255000-4 6.966986+6 2.264644-4 6.936652+6 2.270000-4 6.919964+6 2.285000-4 6.870298+6 2.290868-4 6.850459+6 2.300000-4 6.818577+6 2.306200-4 6.796463+6 2.317395-4 6.756249+6 2.323000-4 6.736345+6 2.344229-4 6.660216+6 2.350000-4 6.639921+6 2.371374-4 6.563773+6 2.380000-4 6.533736+6 2.389200-4 6.501568+6 2.415000-4 6.409776+6 2.426610-4 6.369051+6 2.450000-4 6.289104+6 2.454709-4 6.272891+6 2.465000-4 6.237466+6 2.483133-4 6.176957+6 2.500000-4 6.122032+6 2.530000-4 6.028454+6 2.540973-4 5.995565+6 2.560000-4 5.937227+6 2.570396-4 5.906366+6 2.580000-4 5.878200+6 2.590000-4 5.849391+6 2.600160-4 5.820905+6 2.620000-4 5.764229+6 2.630268-4 5.736097+6 2.650000-4 5.682826+6 2.660725-4 5.654777+6 2.680000-4 5.605621+6 2.691535-4 5.577102+6 2.710000-4 5.532540+6 2.722701-4 5.502797+6 2.730000-4 5.486047+6 2.740000-4 5.462049+6 2.754229-4 5.428771+6 2.770000-4 5.392770+6 2.786121-4 5.356971+6 2.800000-4 5.325829+6 2.818383-4 5.285730+6 2.837800-4 5.244520+6 2.851018-4 5.217225+6 2.880000-4 5.159035+6 2.884032-4 5.151158+6 2.900000-4 5.120562+6 2.917427-4 5.086042+6 2.951209-4 5.021890+6 2.990000-4 4.948723+6 3.000000-4 4.930433+6 3.030000-4 4.877079+6 3.080000-4 4.792115+6 3.090295-4 4.775383+6 3.100000-4 4.758745+6 3.126079-4 4.714742+6 3.130000-4 4.708214+6 3.162278-4 4.655821+6 3.198895-4 4.595931+6 3.200000-4 4.594156+6 3.235937-4 4.537856+6 3.311311-4 4.425904+6 3.350000-4 4.369115+6 3.388442-4 4.312172+6 3.427678-4 4.256193+6 3.470000-4 4.198145+6 3.507519-4 4.147985+6 3.548134-4 4.093190+6 3.550000-4 4.090723+6 3.550500-4 4.090059+6 3.550500-4 4.354013+6 3.589219-4 4.302244+6 3.600000-4 4.287942+6 3.630781-4 4.246360+6 3.672823-4 4.191425+6 3.700000-4 4.156757+6 3.758374-4 4.083942+6 3.780000-4 4.057715+6 3.801894-4 4.030408+6 3.820000-4 4.008011+6 3.845918-4 3.976084+6 3.850000-4 3.971119+6 3.935501-4 3.868054+6 4.000000-4 3.793210+6 4.027170-4 3.762824+6 4.050000-4 3.736941+6 4.073803-4 3.710029+6 4.100000-4 3.680681+6 4.101900-4 3.678507+6 4.101900-4 3.738552+6 4.120975-4 3.716871+6 4.183900-4 3.647572+6 4.216965-4 3.611927+6 4.265795-4 3.560310+6 4.315191-4 3.508147+6 4.365158-4 3.456658+6 4.415704-4 3.405905+6 4.466836-4 3.355017+6 4.518559-4 3.304583+6 4.600000-4 3.227943+6 4.650000-4 3.181445+6 4.677351-4 3.156242+6 4.700000-4 3.135717+6 4.731513-4 3.107355+6 4.786301-4 3.058532+6 4.841724-4 3.010593+6 4.850000-4 3.003586+6 4.897788-4 2.963202+6 4.954502-4 2.916322+6 4.978500-4 2.896479+6 4.978500-4 2.971805+6 5.011872-4 2.944431+6 5.080000-4 2.888325+6 5.128614-4 2.849283+6 5.188000-4 2.803125+6 5.230000-4 2.771338+6 5.248075-4 2.757683+6 5.300000-4 2.718407+6 5.308844-4 2.711767+6 5.370318-4 2.666456+6 5.400000-4 2.645143+6 5.432503-4 2.621746+6 5.495409-4 2.577042+6 5.500000-4 2.573842+6 5.559043-4 2.532849+6 5.623413-4 2.489662+6 5.688529-4 2.446678+6 5.754399-4 2.403864+6 5.821032-4 2.361654+6 5.888437-4 2.319868+6 5.956621-4 2.279088+6 6.000000-4 2.253853+6 6.025596-4 2.238989+6 6.237348-4 2.119935+6 6.309573-4 2.081429+6 6.382635-4 2.042828+6 6.456542-4 2.005129+6 6.500000-4 1.983217+6 6.531306-4 1.967688+6 6.606934-4 1.931115+6 6.683439-4 1.895098+6 6.700000-4 1.887247+6 6.760830-4 1.858779+6 6.839116-4 1.823301+6 6.918310-4 1.788680+6 7.000000-4 1.753910+6 7.079458-4 1.720724+6 7.161434-4 1.687216+6 7.244360-4 1.654431+6 7.300000-4 1.632846+6 7.328245-4 1.622038+6 7.413102-4 1.590022+6 7.500000-4 1.558404+6 7.585776-4 1.527801+6 7.673615-4 1.497193+6 7.800000-4 1.455042+6 7.852356-4 1.438041+6 7.943282-4 1.409069+6 8.035261-4 1.380409+6 8.222426-4 1.324825+6 8.413951-4 1.270899+6 8.511380-4 1.244911+6 8.609938-4 1.219000+6 8.709636-4 1.193731+6 8.912509-4 1.144284+6 9.120108-4 1.096702+6 9.225714-4 1.073460+6 9.332543-4 1.050637+6 9.500000-4 1.016182+6 9.549926-4 1.006259+6 9.660509-4 9.847683+5 9.772372-4 9.635824+5 1.000000-3 9.222806+5 1.011579-3 9.021000+5 1.023293-3 8.824275+5 1.047129-3 8.444697+5 1.059254-3 8.259822+5 1.071519-3 8.077421+5 1.083927-3 7.898149+5 1.096478-3 7.723389+5 1.109175-3 7.552066+5 1.110000-3 7.541148+5 1.122018-3 7.384488+5 1.150000-3 7.035417+5 1.161449-3 6.899262+5 1.174898-3 6.743082+5 1.188502-3 6.590900+5 1.202264-3 6.442587+5 1.216186-3 6.297375+5 1.230269-3 6.153837+5 1.244515-3 6.012499+5 1.273503-3 5.740612+5 1.288250-3 5.609095+5 1.300000-3 5.507764+5 1.303167-3 5.480955+5 1.318257-3 5.355442+5 1.333521-3 5.230791+5 1.380384-3 4.872880+5 1.396368-3 4.759690+5 1.400000-3 4.734431+5 1.428894-3 4.540659+5 1.445440-3 4.434226+5 1.450000-3 4.405477+5 1.513561-3 4.028204+5 1.531087-3 3.933121+5 1.548817-3 3.840494+5 1.570000-3 3.732586+5 1.584893-3 3.658843+5 1.597800-3 3.596749+5 1.597800-3 1.077158+6 1.603245-3 1.069944+6 1.621810-3 1.045851+6 1.640590-3 1.022279+6 1.642000-3 1.020542+6 1.644000-3 1.019803+6 1.650800-3 1.013242+6 1.650800-3 1.333685+6 1.662000-3 1.330303+6 1.678804-3 1.325808+6 1.717908-3 1.317813+6 1.725000-3 1.316719+6 1.750000-3 1.309983+6 1.757924-3 1.307265+6 1.760000-3 1.306505+6 1.778279-3 1.297869+6 1.798871-3 1.285780+6 1.800000-3 1.284670+6 1.819701-3 1.261409+6 1.820000-3 1.261062+6 1.840772-3 1.234089+6 1.850000-3 1.218839+6 1.862087-3 1.199266+6 1.905461-3 1.132492+6 1.949845-3 1.069468+6 1.950000-3 1.069256+6 1.972423-3 1.039291+6 2.000000-3 1.004034+6 2.016100-3 9.842314+5 2.016100-3 1.137196+6 2.030000-3 1.118734+6 2.041738-3 1.103455+6 2.065380-3 1.073514+6 2.090000-3 1.043560+6 2.113489-3 1.016599+6 2.137962-3 9.895695+5 2.162719-3 9.632875+5 2.187762-3 9.374139+5 2.213095-3 9.120181+5 2.238721-3 8.873399+5 2.258000-3 8.693936+5 2.258000-3 9.219272+5 2.300000-3 8.835062+5 2.317395-3 8.682761+5 2.344229-3 8.453685+5 2.398833-3 8.016168+5 2.400000-3 8.007189+5 2.426610-3 7.803742+5 2.454709-3 7.594797+5 2.470500-3 7.480379+5 2.470500-3 7.804386+5 2.570396-3 7.122464+5 2.575000-3 7.093123+5 2.600160-3 6.935296+5 2.630268-3 6.751081+5 2.660725-3 6.572054+5 2.691535-3 6.398082+5 2.700000-3 6.350967+5 2.722701-3 6.226764+5 2.818383-3 5.739134+5 2.917427-3 5.292226+5 2.920000-3 5.281183+5 2.951209-3 5.149552+5 2.985383-3 5.009762+5 3.019952-3 4.873866+5 3.090295-3 4.612358+5 3.162278-3 4.365394+5 3.163750-3 4.360549+5 3.220000-3 4.181247+5 3.235937-3 4.132234+5 3.273407-3 4.019711+5 3.311311-3 3.910310+5 3.349654-3 3.803912+5 3.388442-3 3.698955+5 3.400000-3 3.668499+5 3.507519-3 3.401965+5 3.589219-3 3.216185+5 3.630781-3 3.126530+5 3.650000-3 3.086031+5 3.672823-3 3.038887+5 3.758374-3 2.871239+5 3.801894-3 2.791036+5 3.845918-3 2.712900+5 3.890451-3 2.637077+5 3.935501-3 2.563469+5 4.000000-3 2.462936+5 4.027170-3 2.422267+5 4.073803-3 2.354637+5 4.168694-3 2.224875+5 4.216965-3 2.162671+5 4.265795-3 2.101554+5 4.300000-3 2.060232+5 4.315191-3 2.042249+5 4.365158-3 1.984625+5 4.400000-3 1.945838+5 4.466836-3 1.873936+5 4.518559-3 1.820875+5 4.570882-3 1.769260+5 4.623810-3 1.719179+5 4.677351-3 1.670100+5 4.786301-3 1.576334+5 4.800000-3 1.565048+5 4.897788-3 1.487412+5 4.954502-3 1.444899+5 5.000000-3 1.412016+5 5.011872-3 1.403609+5 5.069907-3 1.363537+5 5.150000-3 1.310857+5 5.188000-3 1.286799+5 5.308844-3 1.214396+5 5.370318-3 1.179605+5 5.495409-3 1.112861+5 5.500000-3 1.110510+5 5.559043-3 1.080722+5 5.623413-3 1.049489+5 5.688529-3 1.019175+5 5.821032-3 9.612109+4 5.888437-3 9.335418+4 5.956621-3 9.066250+4 6.000000-3 8.900313+4 6.025596-3 8.804019+4 6.095369-3 8.547595+4 6.165950-3 8.299016+4 6.237348-3 8.057885+4 6.309573-3 7.823814+4 6.382635-3 7.596666+4 6.456542-3 7.376266+4 6.683439-3 6.751300+4 6.760830-3 6.555527+4 6.800000-3 6.459069+4 6.839116-3 6.364409+4 6.918310-3 6.178775+4 7.079458-3 5.821860+4 7.161434-3 5.651469+4 7.244360-3 5.485869+4 7.300000-3 5.378636+4 7.328245-3 5.325312+4 7.585776-3 4.870492+4 7.673615-3 4.728078+4 7.762471-3 4.588774+4 7.852356-3 4.453691+4 7.943282-3 4.322425+4 8.128305-3 4.071745+4 8.222426-3 3.951682+4 8.300000-3 3.856454+4 8.317638-3 3.835247+4 8.511380-3 3.612626+4 8.609938-3 3.506437+4 8.709636-3 3.402546+4 8.912509-3 3.203035+4 9.225714-3 2.926281+4 9.243200-3 2.911803+4 9.243200-3 7.760790+4 9.332543-3 7.577868+4 9.500000-3 7.251095+4 9.549926-3 7.151343+4 9.660509-3 6.937002+4 9.772372-3 6.729192+4 9.800000-3 6.679198+4 9.885531-3 6.527344+4 1.000000-2 6.331284+4 1.011579-2 6.140841+4 1.023293-2 5.952220+4 1.035142-2 5.769241+4 1.037300-2 5.736756+4 1.037300-2 7.903556+4 1.047129-2 7.716108+4 1.059254-2 7.493396+4 1.065000-2 7.391025+4 1.071519-2 7.272391+4 1.084500-2 7.043925+4 1.084500-2 8.150373+4 1.096478-2 7.921741+4 1.103000-2 7.800795+4 1.122018-2 7.472672+4 1.133000-2 7.291976+4 1.135011-2 7.259384+4 1.150000-2 7.020541+4 1.155000-2 6.943302+4 1.161449-2 6.846205+4 1.174898-2 6.649768+4 1.188502-2 6.458970+4 1.190000-2 6.438434+4 1.202264-2 6.270225+4 1.244515-2 5.736100+4 1.258925-2 5.568331+4 1.273503-2 5.405580+4 1.288250-2 5.247712+4 1.303167-2 5.094511+4 1.318257-2 4.944774+4 1.333521-2 4.799926+4 1.348963-2 4.659326+4 1.350000-2 4.650016+4 1.364583-2 4.521688+4 1.380384-2 4.388231+4 1.412538-2 4.133379+4 1.420000-2 4.076794+4 1.428894-2 4.010756+4 1.445440-2 3.891674+4 1.479108-2 3.664292+4 1.500000-2 3.531858+4 1.513561-2 3.449269+4 1.531087-2 3.346202+4 1.548817-2 3.246275+4 1.566751-2 3.149420+4 1.584893-2 3.055502+4 1.603245-2 2.964458+4 1.621810-2 2.876096+4 1.640590-2 2.790337+4 1.659587-2 2.707206+4 1.698244-2 2.548501+4 1.717908-2 2.472761+4 1.737801-2 2.398699+4 1.757924-2 2.326780+4 1.778279-2 2.257061+4 1.798871-2 2.188734+4 1.819701-2 2.122526+4 1.840772-2 2.058279+4 1.862087-2 1.996012+4 1.905461-2 1.877214+4 1.949845-2 1.765581+4 1.972423-2 1.712347+4 2.000000-2 1.650264+4 2.018366-2 1.610364+4 2.041738-2 1.561500+4 2.065380-2 1.514161+4 2.075770-2 1.493964+4 2.113489-2 1.423738+4 2.137962-2 1.380608+4 2.187762-2 1.298331+4 2.238721-2 1.220055+4 2.264644-2 1.182719+4 2.317395-2 1.111452+4 2.344229-2 1.077481+4 2.371374-2 1.044575+4 2.398833-2 1.012659+4 2.426610-2 9.817366+3 2.454709-2 9.516534+3 2.483133-2 9.225163+3 2.511886-2 8.942132+3 2.570396-2 8.399710+3 2.600160-2 8.141284+3 2.660725-2 7.647766+3 2.691535-2 7.412594+3 2.722701-2 7.184844+3 2.754229-2 6.964017+3 2.786121-2 6.750159+3 2.818383-2 6.542990+3 2.851018-2 6.340905+3 2.884032-2 6.145157+3 2.917427-2 5.954585+3 2.985383-2 5.591361+3 3.000000-2 5.517282+3 3.019952-2 5.418279+3 3.090295-2 5.087944+3 3.126079-2 4.930566+3 3.150000-2 4.829013+3 3.162278-2 4.777804+3 3.198895-2 4.629490+3 3.235937-2 4.485857+3 3.311311-2 4.212145+3 3.349654-2 4.081777+3 3.388442-2 3.954746+3 3.467369-2 3.712631+3 3.507519-2 3.596784+3 3.548134-2 3.484558+3 3.589219-2 3.375802+3 3.672823-2 3.168357+3 3.715352-2 3.069577+3 3.758374-2 2.973929+3 3.801894-2 2.881333+3 3.845918-2 2.791247+3 3.890451-2 2.704037+3 4.027170-2 2.458001+3 4.120975-2 2.306780+3 4.168694-2 2.234728+3 4.216965-2 2.164839+3 4.315191-2 2.031175+3 4.365158-2 1.967531+3 4.415704-2 1.905512+3 4.623810-2 1.676752+3 4.786301-2 1.523754+3 4.841724-2 1.475976+3 4.897788-2 1.429616+3 5.011872-2 1.341077+3 5.069907-2 1.298924+3 5.128614-2 1.258118+3 5.188000-2 1.218229+3 5.308844-2 1.142274+3 5.495409-2 1.037294+3 5.688529-2 9.421442+2 5.754399-2 9.124387+2 5.821032-2 8.836887+2 5.888437-2 8.558089+2 6.025596-2 8.026860+2 6.095369-2 7.771669+2 6.165950-2 7.524736+2 6.344200-2 6.947257+2 6.344200-2 3.616785+3 6.382635-2 3.561482+3 6.456542-2 3.458367+3 6.500000-2 3.399675+3 6.600000-2 3.275379+3 6.683439-2 3.166495+3 6.760830-2 3.069907+3 6.839116-2 2.982511+3 7.000000-2 2.813529+3 7.161434-2 2.649007+3 7.244360-2 2.569527+3 7.328245-2 2.492443+3 7.413102-2 2.417675+3 7.498942-2 2.345159+3 7.673615-2 2.206612+3 7.800000-2 2.113332+3 8.128305-2 1.896826+3 8.317638-2 1.785706+3 8.511380-2 1.681105+3 8.709636-2 1.582535+3 8.810489-2 1.535448+3 9.015711-2 1.443181+3 9.225714-2 1.356474+3 9.660509-2 1.198422+3 9.885531-2 1.126465+3 9.966270-2 1.102087+3 1.000000-1 1.092117+3 1.011580-1 1.058818+3 1.023293-1 1.026504+3 1.035142-1 9.951779+2 1.047129-1 9.648090+2 1.059254-1 9.353715+2 1.071519-1 9.068358+2 1.161449-1 7.300779+2 1.188502-1 6.856832+2 1.216186-1 6.439936+2 1.230269-1 6.241078+2 1.244515-1 6.048178+2 1.258925-1 5.861257+2 1.288250-1 5.504578+2 1.318257-1 5.169732+2 1.333521-1 5.010050+2 1.364583-1 4.705346+2 1.380384-1 4.560032+2 1.396368-1 4.419215+2 1.412538-1 4.282749+2 1.428894-1 4.150552+2 1.445440-1 4.022439+2 1.479108-1 3.777985+2 1.500000-1 3.636431+2 1.513561-1 3.548178+2 1.531088-1 3.438401+2 1.548817-1 3.332032+2 1.566751-1 3.228967+2 1.584893-1 3.129083+2 1.603245-1 3.032292+2 1.659587-1 2.759440+2 1.678804-1 2.674101+2 1.698244-1 2.591403+2 1.717908-1 2.511272+2 1.737801-1 2.433638+2 1.778279-1 2.285513+2 1.819701-1 2.146416+2 1.883649-1 1.953508+2 1.905461-1 1.893142+2 1.927525-1 1.834647+2 1.995262-1 1.669808+2 2.000000-1 1.659048+2 2.041738-1 1.568276+2 2.065380-1 1.519871+2 2.089296-1 1.472963+2 2.113489-1 1.427503+2 2.137962-1 1.383450+2 2.162719-1 1.340756+2 2.187762-1 1.299383+2 2.264644-1 1.182777+2 2.290868-1 1.146636+2 2.317395-1 1.111601+2 2.344229-1 1.077641+2 2.371374-1 1.044722+2 2.398833-1 1.012834+2 2.426610-1 9.819198+1 2.454709-1 9.519582+1 2.483133-1 9.229127+1 2.540973-1 8.674554+1 2.570396-1 8.409908+1 2.600160-1 8.153633+1 2.630268-1 7.905181+1 2.660725-1 7.664308+1 2.691535-1 7.430780+1 2.722701-1 7.204399+1 2.754229-1 6.987541+1 2.786121-1 6.777304+1 2.818383-1 6.573395+1 2.884032-1 6.183830+1 2.951209-1 5.817378+1 2.985383-1 5.642380+1 3.019952-1 5.472654+1 3.054921-1 5.308099+1 3.090295-1 5.148509+1 3.126079-1 4.995930+1 3.162278-1 4.848111+1 3.198895-1 4.704732+1 3.235937-1 4.565597+1 3.273407-1 4.430586+1 3.311311-1 4.299571+1 3.388442-1 4.049054+1 3.427678-1 3.929330+1 3.467369-1 3.813158+1 3.548134-1 3.591107+1 3.589219-1 3.484983+1 3.630781-1 3.383859+1 3.672823-1 3.285674+1 3.715352-1 3.190514+1 3.758374-1 3.098111+1 3.801894-1 3.008389+1 3.845918-1 2.921266+1 3.890451-1 2.836709+1 3.935501-1 2.754600+1 3.981072-1 2.674869+1 4.027170-1 2.597449+1 4.073803-1 2.522271+1 4.120975-1 2.450730+1 4.168694-1 2.381248+1 4.216965-1 2.313747+1 4.265795-1 2.248161+1 4.315191-1 2.184596+1 4.415705-1 2.062813+1 4.466836-1 2.004494+1 4.518559-1 1.947826+1 4.570882-1 1.892760+1 4.623810-1 1.839281+1 4.677351-1 1.788331+1 4.731513-1 1.738794+1 4.786301-1 1.690677+1 4.841724-1 1.643898+1 4.897788-1 1.598413+1 4.954502-1 1.554293+1 5.011872-1 1.511393+1 5.069907-1 1.469677+1 5.128614-1 1.429113+1 5.188000-1 1.389693+1 5.248075-1 1.352159+1 5.308844-1 1.315641+1 5.370318-1 1.280109+1 5.432503-1 1.245556+1 5.495409-1 1.211939+1 5.559043-1 1.179230+1 5.623413-1 1.147483+1 5.688529-1 1.116591+1 5.754399-1 1.086548+1 5.821032-1 1.057974+1 5.888437-1 1.030151+1 5.956621-1 1.003061+1 6.000000-1 9.863545+0 6.025596-1 9.766833+0 6.095369-1 9.510000+0 6.165950-1 9.260101+0 6.309573-1 8.779842+0 6.382635-1 8.549949+0 6.456542-1 8.326102+0 6.531306-1 8.113280+0 6.683439-1 7.703841+0 6.839117-1 7.315080+0 6.918310-1 7.128250+0 6.998420-1 6.946195+0 7.079458-1 6.768928+0 7.161434-1 6.596636+0 7.244360-1 6.428730+0 7.328245-1 6.269087+0 7.413102-1 6.113414+0 7.498942-1 5.961607+0 7.585776-1 5.813572+0 7.673615-1 5.669215+0 7.762471-1 5.528601+0 7.943282-1 5.257936+0 8.000000-1 5.177241+0 8.128305-1 5.001244+0 8.317638-1 4.763094+0 8.413951-1 4.648313+0 8.511380-1 4.536408+0 8.609938-1 4.427200+0 8.709636-1 4.320636+0 8.810489-1 4.216742+0 8.912509-1 4.115654+0 9.015711-1 4.016993+0 9.120108-1 3.923382+0 9.225714-1 3.832019+0 9.332543-1 3.742798+0 9.440609-1 3.655719+0 9.549926-1 3.570666+0 9.660509-1 3.487594+0 9.772372-1 3.406535+0 9.885531-1 3.327676+0 1.000000+0 3.250711+0 1.011579+0 3.177578+0 1.023293+0 3.106085+0 1.035142+0 3.036204+0 1.047129+0 2.967895+0 1.059254+0 2.901128+0 1.071519+0 2.835902+0 1.083927+0 2.772176+0 1.096478+0 2.709885+0 1.109175+0 2.649041+0 1.122018+0 2.589567+0 1.135011+0 2.531573+0 1.148154+0 2.474882+0 1.161449+0 2.419464+0 1.174898+0 2.366606+0 1.202264+0 2.264346+0 1.216186+0 2.214889+0 1.230269+0 2.166513+0 1.244515+0 2.119194+0 1.250000+0 2.101393+0 1.258925+0 2.072937+0 1.273503+0 2.027704+0 1.288250+0 1.983646+0 1.303167+0 1.940553+0 1.318257+0 1.899526+0 1.333521+0 1.859373+0 1.348963+0 1.820067+0 1.380384+0 1.743932+0 1.396368+0 1.707068+0 1.412538+0 1.670983+0 1.428894+0 1.635720+0 1.445440+0 1.601202+0 1.462177+0 1.567524+0 1.479108+0 1.534554+0 1.513561+0 1.472499+0 1.531087+0 1.442419+0 1.584893+0 1.355815+0 1.621810+0 1.301037+0 1.640590+0 1.274570+0 1.659587+0 1.248644+0 1.678804+0 1.223963+0 1.698244+0 1.199783+0 1.717908+0 1.176083+0 1.737801+0 1.152862+0 1.757924+0 1.130099+0 1.798871+0 1.085915+0 1.819701+0 1.064494+0 1.840772+0 1.043495+0 1.862087+0 1.022981+0 1.883649+0 1.002870+0 1.905461+0 9.837240-1 1.927525+0 9.649550-1 1.949845+0 9.465456-1 1.972423+0 9.284979-1 2.018366+0 8.934286-1 2.044000+0 8.747723-1 2.089296+0 8.433194-1 2.113489+0 8.273071-1 2.137962+0 8.115993-1 2.162719+0 7.966280-1 2.187762+0 7.819413-1 2.213095+0 7.675267-1 2.238721+0 7.533853-1 2.290868+0 7.258787-1 2.317395+0 7.125045-1 2.344229+0 6.993862-1 2.371374+0 6.865115-1 2.398833+0 6.738741-1 2.426610+0 6.615103-1 2.454709+0 6.493736-1 2.483133+0 6.378027-1 2.511886+0 6.264442-1 2.540973+0 6.152887-1 2.570396+0 6.043379-1 2.630268+0 5.830175-1 2.660725+0 5.726411-1 2.691535+0 5.624566-1 2.722701+0 5.524552-1 2.754229+0 5.426313-1 2.786121+0 5.330138-1 2.818383+0 5.235668-1 2.851018+0 5.145471-1 2.884032+0 5.056874-1 2.917427+0 4.969815-1 2.951209+0 4.884297-1 3.019952+0 4.717650-1 3.054921+0 4.636472-1 3.090295+0 4.556748-1 3.126079+0 4.478408-1 3.162278+0 4.401414-1 3.198895+0 4.325992-1 3.235937+0 4.251864-1 3.273407+0 4.181044-1 3.311311+0 4.111405-1 3.349654+0 4.042968-1 3.388442+0 3.975695-1 3.427678+0 3.909551-1 3.507519+0 3.780546-1 3.548134+0 3.717649-1 3.589219+0 3.655843-1 3.630781+0 3.595073-1 3.672823+0 3.535315-1 3.715352+0 3.476744-1 3.758374+0 3.419145-1 3.801894+0 3.364109-1 3.845918+0 3.309961-1 3.890451+0 3.256717-1 3.935501+0 3.204349-1 4.000000+0 3.131846-1 4.073803+0 3.052264-1 4.120975+0 3.003190-1 4.168694+0 2.954939-1 4.265795+0 2.860766-1 4.315191+0 2.814811-1 4.365158+0 2.769742-1 4.415704+0 2.725396-1 4.466836+0 2.682989-1 4.518559+0 2.641244-1 4.570882+0 2.600172-1 4.623810+0 2.559756-1 4.677351+0 2.519972-1 4.786301+0 2.442250-1 4.841724+0 2.404293-1 4.897788+0 2.366952-1 5.011872+0 2.294015-1 5.069907+0 2.258393-1 5.128614+0 2.223437-1 5.188000+0 2.189024-1 5.248075+0 2.156085-1 5.308844+0 2.123644-1 5.370318+0 2.091708-1 5.432503+0 2.060266-1 5.495409+0 2.029299-1 5.623413+0 1.968756-1 5.688529+0 1.939165-1 5.754399+0 1.910019-1 5.821032+0 1.881331-1 5.956621+0 1.825252-1 6.025596+0 1.797842-1 6.095369+0 1.770929-1 6.165950+0 1.744420-1 6.237348+0 1.719012-1 6.309573+0 1.693975-1 6.382635+0 1.669316-1 6.456542+0 1.645025-1 6.531306+0 1.621090-1 6.683439+0 1.574261-1 6.839116+0 1.528784-1 6.918310+0 1.506540-1 7.000000+0 1.484207-1 7.244360+0 1.420815-1 7.328245+0 1.400158-1 7.498942+0 1.359851-1 7.585776+0 1.340136-1 7.673615+0 1.321207-1 7.762471+0 1.302546-1 7.852356+0 1.284159-1 7.943282+0 1.266038-1 8.035261+0 1.248175-1 8.128305+0 1.230564-1 8.317638+0 1.196084-1 8.413951+0 1.179208-1 8.709636+0 1.130038-1 8.810489+0 1.114108-1 9.015711+0 1.083018-1 9.120108+0 1.067800-1 9.225714+0 1.053203-1 9.332543+0 1.038806-1 9.440609+0 1.024613-1 9.549926+0 1.010619-1 9.660509+0 9.968175-2 9.772372+0 9.832048-2 1.000000+1 9.565344-2 1.023293+1 9.305875-2 1.083927+1 8.688014-2 1.100000+1 8.536722-2 1.135011+1 8.224246-2 1.148154+1 8.112325-2 1.161449+1 8.004595-2 1.174898+1 7.898297-2 1.188502+1 7.793471-2 1.202264+1 7.690067-2 1.216186+1 7.588042-2 1.244515+1 7.388039-2 1.273503+1 7.193313-2 1.288250+1 7.097892-2 1.364583+1 6.639735-2 1.380384+1 6.551716-2 1.428894+1 6.295239-2 1.445440+1 6.212000-2 1.462177+1 6.131658-2 1.479108+1 6.052356-2 1.513561+1 5.896885-2 1.531087+1 5.820679-2 1.548817+1 5.745460-2 1.566751+1 5.671219-2 1.603245+1 5.525600-2 1.640590+1 5.383717-2 1.659587+1 5.314159-2 1.737801+1 5.044940-2 1.757924+1 4.979794-2 1.819701+1 4.789797-2 1.862087+1 4.667180-2 1.883649+1 4.608258-2 1.905461+1 4.550080-2 1.927525+1 4.492642-2 1.995262+1 4.324705-2 2.000000+1 4.313409-2 2.018366+1 4.270149-2 2.065380+1 4.163103-2 2.089296+1 4.110590-2 2.113489+1 4.058740-2 2.137962+1 4.007545-2 2.162719+1 3.956993-2 2.187762+1 3.907087-2 2.264644+1 3.761186-2 2.290868+1 3.713771-2 2.371374+1 3.575375-2 2.426610+1 3.485990-2 2.511886+1 3.358313-2 2.570396+1 3.275804-2 2.600160+1 3.235315-2 2.754229+1 3.040329-2 2.786121+1 3.002777-2 2.818383+1 2.965688-2 2.851018+1 2.929060-2 2.884032+1 2.892884-2 2.917427+1 2.857157-2 3.000000+1 2.772411-2 3.019952+1 2.752656-2 3.126079+1 2.652175-2 3.198895+1 2.587233-2 3.427678+1 2.404646-2 3.630781+1 2.262374-2 3.715352+1 2.207854-2 4.073803+1 2.002651-2 4.168694+1 1.954412-2 4.216965+1 1.930731-2 4.265795+1 1.907337-2 4.315191+1 1.884227-2 4.365158+1 1.861398-2 4.415704+1 1.838855-2 4.518559+1 1.794587-2 4.677351+1 1.730289-2 4.786301+1 1.688709-2 4.841724+1 1.668622-2 5.069907+1 1.590634-2 5.370318+1 1.498256-2 5.495409+1 1.462826-2 6.000000+1 1.335219-2 6.095369+1 1.313523-2 6.237348+1 1.282477-2 6.309573+1 1.267231-2 6.382635+1 1.252166-2 6.456542+1 1.237280-2 6.531306+1 1.222573-2 6.606934+1 1.208045-2 6.839116+1 1.165489-2 7.161434+1 1.111149-2 7.328245+1 1.084937-2 7.413102+1 1.072064-2 7.498942+1 1.059498-2 8.035261+1 9.871378-3 8.810489+1 8.982863-3 9.015711+1 8.773531-3 1.023293+2 7.706615-3 1.047129+2 7.527082-3 1.083927+2 7.265601-3 1.096478+2 7.180480-3 1.109175+2 7.096352-3 1.122018+2 7.013216-3 1.135011+2 6.931047-3 1.148154+2 6.849867-3 1.161449+2 6.769640-3 1.202264+2 6.534557-3 1.273503+2 6.161143-3 1.318257+2 5.947419-3 1.333521+2 5.877842-3 1.348963+2 5.809683-3 1.479108+2 5.292125-3 1.659587+2 4.709526-3 1.717908+2 4.547596-3 2.041738+2 3.817811-3 2.089296+2 3.729807-3 2.162719+2 3.601589-3 2.187762+2 3.559838-3 2.213095+2 3.518571-3 2.238721+2 3.477783-3 2.264644+2 3.437467-3 2.290868+2 3.397625-3 2.317395+2 3.358245-3 2.398833+2 3.242825-3 2.540973+2 3.059315-3 2.630268+2 2.954234-3 2.660725+2 2.920015-3 2.691535+2 2.886357-3 2.951209+2 2.630695-3 3.311311+2 2.342724-3 3.427678+2 2.262645-3 4.073803+2 1.901520-3 4.168694+2 1.857945-3 4.315191+2 1.794448-3 4.365158+2 1.773769-3 4.415704+2 1.753328-3 4.466836+2 1.733122-3 4.518559+2 1.713150-3 4.570882+2 1.693410-3 4.623810+2 1.673898-3 4.786301+2 1.616700-3 5.069907+2 1.525728-3 5.248075+2 1.473621-3 5.308844+2 1.456650-3 5.370318+2 1.439945-3 5.888437+2 1.313021-3 6.606934+2 1.169982-3 1.364583+3 5.657171-4 3.235937+3 2.381917-4 3.311311+3 2.327604-4 3.427678+3 2.248446-4 3.467369+3 2.222663-4 3.507519+3 2.197176-4 3.548134+3 2.171981-4 3.589219+3 2.147076-4 3.630781+3 2.122456-4 3.672823+3 2.098119-4 3.801894+3 2.026770-4 4.027170+3 1.913226-4 4.168694+3 1.848175-4 4.216965+3 1.826987-4 8.511380+3 9.050666-5 9.332543+3 8.254168-5 2.089296+4 3.686468-5 1.000000+5 7.699990-6 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.030000-6 4.030000-6 4.450000-6 4.030000-6 4.450000-6 4.166915-6 6.330000-6 4.183347-6 6.330000-6 5.077209-6 6.606934-6 4.983857-6 7.328245-6 4.781597-6 8.035261-6 4.632026-6 8.810489-6 4.512643-6 9.440609-6 4.441879-6 1.023293-5 4.377548-6 1.109175-5 4.329585-6 1.258925-5 4.279225-6 1.445440-5 4.248600-6 1.732000-5 4.230481-6 1.732000-5 6.250520-6 1.862087-5 6.222575-6 1.896000-5 6.222728-6 1.896000-5 7.544341-6 1.995262-5 7.578310-6 2.137962-5 7.679599-6 2.270000-5 7.826554-6 2.371374-5 7.977461-6 2.511886-5 8.239289-6 2.660725-5 8.580762-6 2.786121-5 8.917737-6 2.917427-5 9.318165-6 3.090295-5 9.908372-6 3.311311-5 1.074553-5 3.422000-5 1.118596-5 3.422000-5 3.018998-5 3.935501-5 2.850244-5 4.152000-5 2.771789-5 4.152000-5 3.311739-5 4.500000-5 3.192318-5 5.011872-5 2.986682-5 5.800000-5 2.650930-5 6.165950-5 2.510216-5 6.456542-5 2.411071-5 6.634000-5 2.356623-5 6.634000-5 2.394005-5 6.970000-5 2.301338-5 7.300000-5 2.227010-5 7.673615-5 2.159843-5 7.900000-5 2.126537-5 8.317638-5 2.076864-5 8.810489-5 2.033224-5 9.300000-5 2.001451-5 1.000000-4 1.969714-5 1.096478-4 1.941538-5 1.244515-4 1.916329-5 1.462177-4 1.897828-5 1.840772-4 1.885045-5 1.993200-4 1.882603-5 1.993200-4 1.999179-5 2.030000-4 2.006546-5 2.093800-4 2.034629-5 2.093800-4 2.102598-5 2.138000-4 2.125623-5 2.198000-4 2.141054-5 2.255000-4 2.138984-5 2.344229-4 2.112670-5 2.500000-4 2.058187-5 2.620000-4 2.030007-5 2.740000-4 2.017729-5 2.884032-4 2.020829-5 3.030000-4 2.038115-5 3.235937-4 2.077302-5 3.550500-4 2.153610-5 3.550500-4 2.427099-5 4.101900-4 2.588238-5 4.101900-4 2.662431-5 4.897788-4 2.896205-5 4.978500-4 2.918096-5 4.978500-4 3.076421-5 5.623413-4 3.256489-5 6.456542-4 3.461131-5 7.300000-4 3.642099-5 8.222426-4 3.812100-5 9.225714-4 3.973384-5 1.047129-3 4.144933-5 1.188502-3 4.309653-5 1.333521-3 4.453505-5 1.531087-3 4.618756-5 1.597800-3 4.668558-5 1.597800-3 6.745119-5 1.650800-3 6.765711-5 1.650800-3 7.210230-5 1.760000-3 7.359444-5 1.820000-3 7.407986-5 2.016100-3 7.418046-5 2.016100-3 8.005175-5 2.258000-3 8.068279-5 2.258000-3 8.344058-5 2.470500-3 8.428074-5 2.470500-3 8.713119-5 3.163750-3 9.020303-5 4.073803-3 9.346070-5 5.188000-3 9.664049-5 6.456542-3 9.952726-5 8.128305-3 1.025183-4 9.243200-3 1.041513-4 9.243200-3 1.357407-4 1.037300-2 1.362852-4 1.037300-2 1.439711-4 1.084500-2 1.441834-4 1.084500-2 1.530952-4 1.548817-2 1.567730-4 2.238721-2 1.606272-4 3.162278-2 1.642459-4 4.415704-2 1.676923-4 6.165950-2 1.709351-4 6.344200-2 1.711940-4 6.344200-2 1.599365-4 1.659587-1 1.608561-4 5.248075-1 1.614483-4 1.000000+5 1.615378-4 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.030000-6 0.0 2.093800-4 0.0 2.093800-4 7.80977-10 2.115000-4 8.41198-10 2.138000-4 9.12191-10 2.151300-4 9.56160-10 2.165000-4 1.003982-9 2.180000-4 1.059095-9 2.198000-4 1.117814-9 2.208000-4 1.147720-9 2.220000-4 1.177052-9 2.230000-4 1.197863-9 2.240000-4 1.213487-9 2.255000-4 1.228555-9 2.270000-4 1.234299-9 2.285000-4 1.232418-9 2.300000-4 1.224440-9 2.323000-4 1.203498-9 2.350000-4 1.169369-9 2.380000-4 1.124144-9 2.426610-4 1.046501-9 2.500000-4 9.22197-10 2.540973-4 8.58058-10 2.580000-4 8.02137-10 2.620000-4 7.52206-10 2.660725-4 7.09619-10 2.691535-4 6.82930-10 2.722701-4 6.60684-10 2.754229-4 6.43181-10 2.786121-4 6.30088-10 2.818383-4 6.21399-10 2.851018-4 6.16726-10 2.884032-4 6.15735-10 2.917427-4 6.18506-10 2.951209-4 6.24824-10 2.990000-4 6.36267-10 3.030000-4 6.51855-10 3.080000-4 6.76337-10 3.130000-4 7.06124-10 3.200000-4 7.55080-10 3.311311-4 8.45423-10 3.388442-4 9.15388-10 3.470000-4 9.93652-10 3.550500-4 1.075686-9 3.550500-4 2.011061-9 4.101900-4 2.654518-9 4.101900-4 3.184315-9 4.518559-4 3.720478-9 4.897788-4 4.190118-9 4.978500-4 4.284580-9 4.978500-4 4.921284-9 5.308844-4 5.336160-9 5.623413-4 5.705322-9 6.025596-4 6.152926-9 6.606934-4 6.756042-9 7.079458-4 7.200579-9 7.500000-4 7.569814-9 8.035261-4 8.009508-9 8.709636-4 8.514630-9 9.549926-4 9.076282-9 1.023293-3 9.489851-9 1.122018-3 1.002471-8 1.230269-3 1.055180-8 1.380384-3 1.117763-8 1.513561-3 1.166403-8 1.597800-3 1.194505-8 1.597800-3 1.208623-8 1.650800-3 1.214079-8 1.650800-3 3.971499-6 1.717908-3 4.585188-6 1.725000-3 4.651937-6 1.750000-3 4.855794-6 1.760000-3 4.928907-6 1.778279-3 5.044833-6 1.820000-3 5.253753-6 1.840772-3 5.323073-6 2.016100-3 5.293659-6 2.016100-3 5.239214-6 2.258000-3 5.205147-6 2.258000-3 5.753880-6 2.470500-3 5.788386-6 2.470500-3 5.952109-6 2.818383-3 6.025900-6 3.845918-3 6.194305-6 5.188000-3 6.357902-6 6.918310-3 6.515270-6 8.912509-3 6.653381-6 9.243200-3 6.673716-6 9.243200-3 1.181388-3 9.549926-3 1.183921-3 1.037300-2 1.181629-3 1.037300-2 1.580380-3 1.084500-2 1.584365-3 1.084500-2 1.657229-3 1.445440-2 1.673661-3 2.187762-2 1.686190-3 4.027170-2 1.692480-3 6.344200-2 1.692916-3 6.344200-2 4.455375-2 7.498942-2 4.490797-2 9.225714-2 4.524219-2 1.318257-1 4.560713-2 2.137962-1 4.587496-2 6.309573-1 4.619613-2 1.174898+0 4.633953-2 1.000000+5 4.633285-2 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.030000-6 0.0 4.450000-6 4.200000-7 4.450000-6 2.830850-7 5.128614-6 9.535346-7 6.330000-6 2.146653-6 6.330000-6 1.252791-6 6.606934-6 1.623077-6 7.244360-6 2.441658-6 7.852356-6 3.185917-6 8.222426-6 3.623487-6 8.810489-6 4.297846-6 9.660509-6 5.238724-6 1.083927-5 6.497536-6 1.258925-5 8.310025-6 1.659587-5 1.236271-5 1.732000-5 1.308952-5 1.732000-5 1.106948-5 1.896000-5 1.273727-5 1.896000-5 1.141566-5 2.070000-5 1.307616-5 2.250000-5 1.469805-5 2.426610-5 1.619240-5 2.600160-5 1.756740-5 2.786121-5 1.894347-5 2.985383-5 2.031188-5 3.273407-5 2.213682-5 3.422000-5 2.303404-5 3.422000-5 4.030018-6 3.507519-5 5.147580-6 3.715352-5 7.901513-6 3.935501-5 1.085257-5 4.152000-5 1.380211-5 4.152000-5 8.402606-6 4.315191-5 1.056402-5 4.518559-5 1.333164-5 4.800000-5 1.725438-5 5.308844-5 2.449664-5 5.900000-5 3.289202-5 6.309573-5 3.850055-5 6.634000-5 4.277377-5 6.634000-5 4.239995-5 7.079458-5 4.804691-5 7.650000-5 5.486415-5 8.317638-5 6.240774-5 9.300000-5 7.298549-5 1.122018-4 9.284147-5 1.678804-4 1.489910-4 1.993200-4 1.804940-4 1.993200-4 1.793282-4 2.093800-4 1.890337-4 2.093800-4 1.883532-4 2.270000-4 2.056382-4 2.754229-4 2.552493-4 3.550500-4 3.335128-4 3.550500-4 3.307770-4 4.101900-4 3.843050-4 4.101900-4 3.835625-4 4.978500-4 4.686648-4 4.978500-4 4.670809-4 8.609938-4 8.222102-4 1.597800-3 1.551102-3 1.597800-3 1.530337-3 1.650800-3 1.583131-3 1.650800-3 1.574726-3 2.016100-3 1.936626-3 2.016100-3 1.930809-3 2.258000-3 2.172112-3 2.258000-3 2.168806-3 2.470500-3 2.380431-3 2.470500-3 2.377417-3 9.243200-3 9.132375-3 9.243200-3 7.926072-3 1.037300-2 9.055086-3 1.037300-2 8.648649-3 1.084500-2 9.116452-3 1.084500-2 9.034676-3 3.467369-2 3.281678-2 6.344200-2 6.157789-2 6.344200-2 1.872832-2 6.683439-2 2.198930-2 7.413102-2 2.908164-2 9.225714-2 4.685462-2 1.479108-1 1.020570-1 1.949845+0 1.903352+0 1.000000+5 9.999996+4 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 6.344200-2 2.922059+3 6.500000-2 2.750620+3 6.600000-2 2.653500+3 6.760830-2 2.488546+3 7.000000-2 2.286040+3 7.800000-2 1.724008+3 8.810489-2 1.258879+3 1.161449-1 6.029449+2 1.500000-1 3.016720+2 2.264644-1 9.854243+1 2.722701-1 6.010471+1 3.090295-1 4.298959+1 3.589219-1 2.912505+1 4.073803-1 2.109430+1 4.623810-1 1.539483+1 5.188000-1 1.164048+1 5.754399-1 9.107507+0 6.456542-1 6.984705+0 7.244360-1 5.397509+0 8.128305-1 4.202661+0 9.015711-1 3.377972+0 1.000000+0 2.735037+0 1.161449+0 2.036185+0 1.303167+0 1.633063+0 1.479108+0 1.291175+0 1.659587+0 1.050563+0 1.883649+0 8.437939-1 2.137962+0 6.828717-1 2.454709+0 5.463793-1 2.818383+0 4.405317-1 3.235937+0 3.577537-1 3.758374+0 2.876897-1 4.415704+0 2.293170-1 5.188000+0 1.841866-1 6.165950+0 1.467782-1 7.585776+0 1.127591-1 9.120108+0 8.984451-2 1.148154+1 6.825687-2 1.445440+1 5.226808-2 1.862087+1 3.926954-2 2.426610+1 2.933135-2 3.198895+1 2.176889-2 4.786301+1 1.420870-2 7.413102+1 9.020326-3 1.333521+2 4.945646-3 2.660725+2 2.457035-3 5.308844+2 1.225660-3 4.216965+3 1.537343-4 1.000000+5 6.479400-6 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 6.344200-2 1.572600-4 1.000000+5 1.572600-4 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.344200-2 5.474400-2 1.000000+5 5.474400-2 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.344200-2 8.540740-3 1.000000+5 9.999995+4 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.084500-2 1.106448+4 1.103000-2 1.065782+4 1.133000-2 1.019910+4 1.155000-2 9.863460+3 1.190000-2 9.403100+3 1.318257-2 7.841456+3 1.412538-2 6.955798+3 1.500000-2 6.222740+3 1.717908-2 4.822675+3 2.187762-2 2.989516+3 2.483133-2 2.300407+3 2.818383-2 1.763413+3 3.349654-2 1.211887+3 3.801894-2 9.136363+2 4.365158-2 6.673369+2 5.128614-2 4.585172+2 6.025596-2 3.123574+2 7.161434-2 2.052092+2 8.511380-2 1.337036+2 1.011580-1 8.648334+1 1.230269-1 5.239629+1 1.603245-1 2.636118+1 2.570396-1 7.701264+0 3.126079-1 4.654428+0 3.672823-1 3.095873+0 4.265795-1 2.135890+0 4.897788-1 1.527741+0 5.559043-1 1.132425+0 6.309573-1 8.459101-1 7.079458-1 6.534713-1 7.943282-1 5.082138-1 8.810489-1 4.080122-1 9.772372-1 3.298434-1 1.122018+0 2.507806-1 1.273503+0 1.963884-1 1.445440+0 1.550506-1 1.621810+0 1.259769-1 1.840772+0 1.010369-1 2.089296+0 8.165990-2 2.398833+0 6.524970-2 2.754229+0 5.254011-2 3.162278+0 4.261548-2 3.672823+0 3.422939-2 4.315191+0 2.725342-2 5.069907+0 2.186675-2 6.025596+0 1.740751-2 7.328245+0 1.355615-2 8.810489+0 1.078610-2 1.100000+1 8.264700-3 1.380384+1 6.343005-3 1.757924+1 4.821002-3 2.290868+1 3.595520-3 3.019952+1 2.665205-3 4.518559+1 1.737638-3 6.839116+1 1.128411-3 1.202264+2 6.326685-4 2.398833+2 3.140258-4 4.786301+2 1.565739-4 3.801894+3 1.962990-5 1.000000+5 7.458700-7 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.084500-2 2.098300-4 1.000000+5 2.098300-4 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.084500-2 2.121100-3 1.000000+5 2.121100-3 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.084500-2 8.514070-3 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.037300-2 2.166800+4 1.065000-2 2.049700+4 1.135011-2 1.747700+4 1.348963-2 1.113800+4 1.479108-2 8.686500+3 1.737801-2 5.575800+3 2.000000-2 3.777000+3 2.511886-2 1.968600+3 3.150000-2 1.015300+3 3.890451-2 5.412200+2 4.841724-2 2.792500+2 6.025596-2 1.429400+2 8.128305-2 5.667500+1 1.288250-1 1.358721+1 1.659587-1 6.231010+0 2.000000-1 3.533107+0 2.371374-1 2.120302+0 2.754229-1 1.363496+0 3.162278-1 9.137154-1 3.589219-1 6.375508-1 4.073803-1 4.482238-1 4.570882-1 3.277107-1 5.128614-1 2.413915-1 5.688529-1 1.846029-1 6.309573-1 1.421239-1 6.998420-1 1.101889-1 7.762471-1 8.575524-2 8.413951-1 7.099825-2 9.120108-1 5.919744-2 9.772372-1 5.098948-2 1.059254+0 4.318333-2 1.161449+0 3.595870-2 1.273503+0 3.014366-2 1.412538+0 2.490704-2 1.678804+0 1.829922-2 1.905461+0 1.470238-2 2.162719+0 1.190488-2 2.483133+0 9.531760-3 2.851018+0 7.690265-3 3.311311+0 6.143647-3 3.845918+0 4.946104-3 4.518559+0 3.946977-3 5.308844+0 3.173475-3 6.309573+0 2.531472-3 7.762471+0 1.946527-3 9.332543+0 1.552500-3 1.174898+1 1.180367-3 1.479108+1 9.045404-4 1.927525+1 6.713538-4 2.600160+1 4.833278-4 3.715352+1 3.298086-4 5.495409+1 2.185123-4 9.015711+1 1.310593-4 1.717908+2 6.794454-5 3.427678+2 3.381489-5 1.364583+3 8.451650-6 1.000000+5 1.151200-7 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.037300-2 1.643200-4 1.000000+5 1.643200-4 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.037300-2 2.636100-3 1.000000+5 2.636100-3 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.037300-2 7.572580-3 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 9.243200-3 4.848987+4 9.500000-3 4.540720+4 1.011579-2 3.841743+4 1.190000-2 2.455896+4 1.303167-2 1.898809+4 1.513561-2 1.232861+4 1.778279-2 7.715535+3 2.187762-2 4.148376+3 2.426610-2 3.026272+3 2.884032-2 1.777877+3 3.467369-2 9.985650+2 4.216965-2 5.360031+2 5.128614-2 2.853148+2 6.382635-2 1.398592+2 8.317638-2 5.850015+1 1.412538-1 1.015041+1 1.717908-1 5.346243+0 2.041738-1 3.054391+0 2.371374-1 1.894080+0 2.722701-1 1.227817+0 3.090295-1 8.314886-1 3.467369-1 5.876418-1 3.845918-1 4.328524-1 4.265795-1 3.210183-1 4.731513-1 2.398155-1 5.188000-1 1.862987-1 5.754399-1 1.413414-1 6.309573-1 1.113285-1 6.998420-1 8.576181-2 7.673615-1 6.848256-2 8.413951-1 5.505765-2 9.332543-1 4.336106-2 9.885531-1 3.819799-2 1.071519+0 3.230663-2 1.161449+0 2.751267-2 1.273503+0 2.307117-2 1.412538+0 1.908726-2 1.717908+0 1.348186-2 1.949845+0 1.084479-2 2.213095+0 8.793878-3 2.540973+0 7.049702-3 2.917427+0 5.693821-3 3.349654+0 4.631722-3 3.890451+0 3.730994-3 4.570882+0 2.979010-3 5.370318+0 2.396471-3 6.382635+0 1.912587-3 7.852356+0 1.471308-3 9.440609+0 1.173998-3 1.188502+1 8.929754-4 1.513561+1 6.756137-4 1.995262+1 4.954113-4 2.754229+1 3.482240-4 4.073803+1 2.293918-4 6.000000+1 1.529300-4 1.023293+2 8.826841-5 2.041738+2 4.374045-5 4.073803+2 2.179055-5 3.235937+3 2.730029-6 1.000000+5 8.827400-8 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 9.243200-3 1.547100-4 1.000000+5 1.547100-4 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 9.243200-3 1.886800-3 1.000000+5 1.886800-3 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 9.243200-3 7.201690-3 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.470500-3 3.240062+4 2.575000-3 3.094760+4 2.818383-3 2.745907+4 2.920000-3 2.624400+4 3.090295-3 2.422090+4 3.650000-3 1.896144+4 4.168694-3 1.551793+4 4.518559-3 1.363281+4 5.495409-3 9.857271+3 6.237348-3 7.910183+3 7.161434-3 6.191758+3 8.609938-3 4.413877+3 1.000000-2 3.324700+3 1.150000-2 2.536700+3 1.350000-2 1.846460+3 1.603245-2 1.302509+3 1.905461-2 9.096465+2 2.238721-2 6.457752+2 2.600160-2 4.667657+2 3.019952-2 3.352450+2 3.548134-2 2.330970+2 4.168694-2 1.608860+2 4.897788-2 1.102542+2 5.821032-2 7.296841+1 6.839116-2 4.929566+1 8.128305-2 3.215849+1 9.885531-2 1.965718+1 1.216186-1 1.158006+1 1.566751-1 6.019988+0 2.426610-1 1.929084+0 3.019952-1 1.099214+0 3.589219-1 7.098286-1 4.120975-1 5.035208-1 4.731513-1 3.597886-1 5.370318-1 2.662377-1 6.095369-1 1.984808-1 6.839117-1 1.530686-1 7.673615-1 1.188558-1 8.709636-1 9.067156-2 9.660509-1 7.319453-2 1.096478+0 5.687569-2 1.250000+0 4.410563-2 1.412538+0 3.506703-2 1.584893+0 2.845383-2 1.798871+0 2.278912-2 2.044000+0 1.835692-2 2.317395+0 1.494760-2 2.660725+0 1.201404-2 3.054921+0 9.728335-3 3.548134+0 7.800143-3 4.120975+0 6.300653-3 4.841724+0 5.044465-3 5.754399+0 4.007233-3 6.918310+0 3.160884-3 8.413951+0 2.474057-3 1.023293+1 1.952415-3 1.288250+1 1.489081-3 1.659587+1 1.114913-3 2.187762+1 8.197754-4 2.917427+1 5.995547-4 4.365158+1 3.906346-4 6.531306+1 2.565510-4 1.135011+2 1.454474-4 2.264644+2 7.215303-5 4.518559+2 3.596498-5 3.589219+3 4.507752-6 1.000000+5 1.616900-7 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.470500-3 1.529400-4 1.000000+5 1.529400-4 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.470500-3 9.732000-6 1.000000+5 9.732000-6 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.470500-3 2.307828-3 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 2.258000-3 5.253366+4 2.344229-3 5.027710+4 2.400000-3 4.910100+4 2.570396-3 4.548441+4 2.700000-3 4.279460+4 2.951209-3 3.796021+4 3.220000-3 3.352620+4 3.507519-3 2.948100+4 3.801894-3 2.591584+4 4.073803-3 2.306486+4 4.786301-3 1.733217+4 5.150000-3 1.512584+4 5.888437-3 1.165504+4 6.456542-3 9.686500+3 7.328245-3 7.432991+3 8.128305-3 5.949155+3 9.225714-3 4.488706+3 1.023293-2 3.543110+3 1.174898-2 2.561506+3 1.333521-2 1.886177+3 1.500000-2 1.410012+3 1.717908-2 1.000275+3 1.972423-2 6.993382+2 2.264644-2 4.851310+2 2.600160-2 3.340496+2 3.000000-2 2.253420+2 3.507519-2 1.454087+2 4.120975-2 9.181954+1 4.897788-2 5.566829+1 5.888437-2 3.237053+1 7.328245-2 1.686241+1 9.885531-2 6.842855+0 1.548817-1 1.756794+0 1.927525-1 9.113631-1 2.317395-1 5.278604-1 2.722701-1 3.297059-1 3.126079-1 2.217514-1 3.589219-1 1.502448-1 4.073803-1 1.059304-1 4.570882-1 7.762403-2 5.128614-1 5.729962-2 5.688529-1 4.389971-2 6.309573-1 3.385785-2 6.998420-1 2.629337-2 7.762471-1 2.056322-2 8.709636-1 1.573598-2 9.332543-1 1.348165-2 1.000000+0 1.162785-2 1.096478+0 9.637856-3 1.202264+0 8.044347-3 1.318257+0 6.761781-3 1.479108+0 5.486728-3 1.717908+0 4.206661-3 1.949845+0 3.384423-3 2.213095+0 2.744271-3 2.540973+0 2.200154-3 2.917427+0 1.777310-3 3.388442+0 1.421645-3 3.935501+0 1.145848-3 4.623810+0 9.153764-4 5.432503+0 7.367384-4 6.456542+0 5.882840-4 7.943282+0 4.527570-4 9.549926+0 3.614370-4 1.202264+1 2.750229-4 1.531087+1 2.081583-4 2.018366+1 1.526858-4 2.818383+1 1.060403-4 4.216965+1 6.904255-5 6.237348+1 4.585742-5 1.083927+2 2.597998-5 2.162719+2 1.288250-5 4.315191+2 6.419624-6 3.427678+3 8.044807-7 1.000000+5 2.755600-8 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 2.258000-3 1.290800-4 1.000000+5 1.290800-4 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.258000-3 1.483500-5 1.000000+5 1.483500-5 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.258000-3 2.114085-3 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.016100-3 1.529641+5 2.090000-3 1.437225+5 2.317395-3 1.242205+5 2.454709-3 1.137279+5 2.722701-3 9.615738+4 3.019952-3 8.078283+4 3.235937-3 7.159532+4 3.507519-3 6.182588+4 3.935501-3 4.958706+4 4.400000-3 3.987704+4 4.800000-3 3.337344+4 5.500000-3 2.505624+4 6.025596-3 2.054014+4 6.918310-3 1.507053+4 7.673615-3 1.185920+4 8.609938-3 9.032403+3 9.800000-3 6.591200+3 1.096478-2 4.981958+3 1.244515-2 3.606541+3 1.428894-2 2.512690+3 1.621810-2 1.790227+3 1.819701-2 1.307520+3 2.065380-2 9.194962+2 2.371374-2 6.214623+2 2.722701-2 4.168926+2 3.126079-2 2.776442+2 3.589219-2 1.836573+2 4.168694-2 1.165402+2 4.897788-2 7.086700+1 5.821032-2 4.126307+1 7.000000-2 2.298516+1 8.810489-2 1.097890+1 1.659587-1 1.416179+0 2.000000-1 7.792795-1 2.344229-1 4.717781-1 2.691535-1 3.069887-1 3.054921-1 2.084936-1 3.427678-1 1.476743-1 3.845918-1 1.053596-1 4.265795-1 7.828937-2 4.731513-1 5.858956-2 5.188000-1 4.557918-2 5.754399-1 3.462524-2 6.382635-1 2.649865-2 7.079458-1 2.043357-2 7.762471-1 1.633137-2 8.609938-1 1.276565-2 9.225714-1 1.089966-2 9.885531-1 9.374318-3 1.071519+0 7.936482-3 1.174898+0 6.611141-3 1.288250+0 5.548274-3 1.428894+0 4.591080-3 1.698244+0 3.376744-3 1.927525+0 2.714531-3 2.187762+0 2.199416-3 2.511886+0 1.762016-3 2.884032+0 1.422343-3 3.311311+0 1.156379-3 3.845918+0 9.309662-4 4.518559+0 7.429001-4 5.308844+0 5.973113-4 6.309573+0 4.764804-4 7.762471+0 3.663817-4 9.332543+0 2.922072-4 1.174898+1 2.221745-4 1.479108+1 1.702529-4 1.905461+1 1.279967-4 2.570396+1 9.211939-5 3.630781+1 6.361306-5 5.370318+1 4.212778-5 8.810489+1 2.525709-5 1.659587+2 1.324425-5 3.311311+2 6.590097-6 6.606934+2 3.290690-6 2.089296+4 1.037106-7 1.000000+5 2.166800-8 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.016100-3 1.178300-4 1.000000+5 1.178300-4 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.016100-3 4.888900-6 1.000000+5 4.888900-6 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.016100-3 1.893381-3 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.650800-3 3.204430+5 1.725000-3 3.707319+5 1.750000-3 3.850398+5 1.760000-3 3.898138+5 1.778279-3 3.963666+5 1.800000-3 4.011433+5 1.820000-3 4.011119+5 1.840772-3 3.977228+5 2.187762-3 2.561499+5 2.426610-3 1.953236+5 2.691535-3 1.477591+5 2.951209-3 1.144601+5 3.349654-3 7.989671+4 3.589219-3 6.540357+4 4.216965-3 4.044667+4 4.623810-3 3.054810+4 5.370318-3 1.917617+4 5.956621-3 1.379405+4 6.800000-3 8.993360+3 7.852356-3 5.591671+3 8.709636-3 3.948281+3 1.000000-2 2.464108+3 1.161449-2 1.464528+3 1.350000-2 8.601240+2 1.566751-2 5.035302+2 1.819701-2 2.915509+2 2.113489-2 1.674935+2 2.483133-2 9.145382+1 2.917427-2 4.955587+1 3.467369-2 2.550893+1 4.216965-2 1.192527+1 5.308844-2 4.837317+0 9.885531-2 4.177157-1 1.216186-1 1.858056-1 1.445440-1 9.525340-2 1.678804-1 5.374513-2 1.927525-1 3.190679-2 2.187762-1 1.989342-2 2.483133-1 1.249341-2 2.786121-1 8.240712-3 3.126079-1 5.474484-3 3.467369-1 3.813775-3 3.845918-1 2.674703-3 4.265795-1 1.888300-3 4.677351-1 1.394949-3 5.069907-1 1.077142-3 5.559043-1 8.084666-4 6.309573-1 5.502946-4 6.918310-1 4.185187-4 7.498942-1 3.314793-4 8.511380-1 2.320984-4 9.015711-1 1.987561-4 9.440609-1 1.766377-4 9.885531-1 1.580006-4 1.035142+0 1.423486-4 1.096478+0 1.258938-4 1.161449+0 1.121273-4 1.244515+0 9.832764-5 1.348963+0 8.502036-5 1.531087+0 6.825524-5 1.819701+0 5.038406-5 2.018366+0 4.224132-5 2.290868+0 3.431615-5 2.630268+0 2.756267-5 3.019952+0 2.230301-5 3.507519+0 1.787186-5 4.073803+0 1.442821-5 4.786301+0 1.154480-5 5.623413+0 9.306261-6 6.683439+0 7.441961-6 8.128305+0 5.817377-6 9.772372+0 4.648308-6 1.216186+1 3.587580-6 1.548817+1 2.716354-6 2.065380+1 1.967986-6 2.851018+1 1.384732-6 4.265795+1 9.018081-7 6.309573+1 5.990996-7 1.096478+2 3.394789-7 2.187762+2 1.683474-7 4.365158+2 8.389895-8 3.467369+3 1.051423-8 1.000000+5 3.64330-10 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.650800-3 8.615800-5 1.000000+5 8.615800-5 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.650800-3 1.649100-5 1.000000+5 1.649100-5 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.650800-3 1.548151-3 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.597800-3 7.174835+5 1.642000-3 6.810668+5 1.644000-3 6.812038+5 1.757924-3 6.248818+5 1.798871-3 6.054503+5 2.162719-3 3.756656+5 2.400000-3 2.846748+5 2.600160-3 2.287830+5 2.917427-3 1.656526+5 3.349654-3 1.113160+5 3.630781-3 8.765148+4 4.216965-3 5.572357+4 4.623810-3 4.188593+4 5.308844-3 2.708776+4 6.000000-3 1.825266+4 6.760830-3 1.233487+4 7.673615-3 8.075233+3 8.709636-3 5.245480+3 9.885531-3 3.381774+3 1.122018-2 2.164618+3 1.288250-2 1.319914+3 1.479108-2 7.984998+2 1.717908-2 4.592914+2 1.972423-2 2.735817+2 2.264644-2 1.618234+2 2.600160-2 9.510806+1 3.019952-2 5.312120+1 3.589219-2 2.691508+1 4.365158-2 1.234953+1 5.495409-2 4.897217+0 9.660509-2 5.014509-1 1.188502-1 2.183627-1 1.396368-1 1.151749-1 1.603245-1 6.700750-2 1.819701-1 4.105821-2 2.041738-1 2.647710-2 2.290868-1 1.719609-2 2.540973-1 1.174139-2 2.818383-1 8.074895-3 3.090295-1 5.827609-3 3.388442-1 4.234253-3 3.715352-1 3.098525-3 4.027170-1 2.372278-3 4.415705-1 1.761635-3 4.841724-1 1.318425-3 5.308844-1 9.942623-4 5.754399-1 7.819600-4 6.165950-1 6.402596-4 6.683439-1 5.109016-4 7.244360-1 4.104061-4 8.609938-1 2.599302-4 9.120108-1 2.244361-4 9.660509-1 1.952039-4 1.011579+0 1.757135-4 1.071519+0 1.552109-4 1.135011+0 1.379915-4 1.216186+0 1.206963-4 1.318257+0 1.040448-4 1.819701+0 5.904853-5 2.044000+0 4.848353-5 2.344229+0 3.876052-5 2.691535+0 3.117400-5 3.090295+0 2.525739-5 3.589219+0 2.026310-5 4.168694+0 1.637660-5 4.897788+0 1.311881-5 5.821032+0 1.042664-5 7.000000+0 8.226100-6 8.413951+0 6.535195-6 1.023293+1 5.157239-6 1.273503+1 3.986309-6 1.640590+1 2.983487-6 2.162719+1 2.192986-6 2.917427+1 1.583682-6 4.365158+1 1.031878-6 6.456542+1 6.858052-7 1.135011+2 3.841869-7 2.264644+2 1.905929-7 4.518559+2 9.500198-8 3.589219+3 1.190697-8 1.000000+5 4.27110-10 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.597800-3 7.786100-5 1.000000+5 7.786100-5 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.597800-3 1.215700-8 1.000000+5 1.215700-8 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.597800-3 1.519927-3 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 4.978500-4 7.532659+4 5.308844-4 7.270790+4 5.500000-4 7.103040+4 6.237348-4 6.448276+4 6.683439-4 6.099412+4 7.161434-4 5.739160+4 7.852356-4 5.223842+4 8.912509-4 4.566107+4 9.660509-4 4.159819+4 1.110000-3 3.503160+4 1.230269-3 3.065464+4 1.400000-3 2.566680+4 1.570000-3 2.179980+4 1.819701-3 1.749704+4 2.065380-3 1.438923+4 2.400000-3 1.132238+4 2.818383-3 8.685054+3 3.311311-3 6.601677+3 3.890451-3 4.980791+3 4.623810-3 3.654822+3 5.559043-3 2.606255+3 6.760830-3 1.804480+3 8.222426-3 1.239267+3 9.885531-3 8.637010+2 1.188502-2 5.974508+2 1.420000-2 4.153940+2 1.698244-2 2.860909+2 2.018366-2 1.981277+2 2.398833-2 1.362305+2 2.851018-2 9.298020+1 3.388442-2 6.298264+1 4.027170-2 4.233887+1 4.786301-2 2.824375+1 5.688529-2 1.869612+1 6.760830-2 1.228395+1 8.128305-2 7.786842+0 9.885531-2 4.759422+0 1.244515-1 2.643784+0 1.584893-1 1.415945+0 2.426610-1 4.678258-1 3.019952-1 2.666594-1 3.589219-1 1.722425-1 4.168694-1 1.187923-1 4.786301-1 8.494145-2 5.432503-1 6.289827-2 6.095369-1 4.817776-2 6.839117-1 3.715945-2 7.673615-1 2.885659-2 8.709636-1 2.201378-2 9.660509-1 1.776959-2 1.096478+0 1.380696-2 1.250000+0 1.070700-2 1.412538+0 8.512956-3 1.584893+0 6.907398-3 1.798871+0 5.532010-3 2.044000+0 4.456501-3 2.344229+0 3.562595-3 2.691535+0 2.865148-3 3.090295+0 2.321265-3 3.589219+0 1.862277-3 4.168694+0 1.505080-3 4.897788+0 1.205660-3 5.821032+0 9.582740-4 7.000000+0 7.560100-4 8.413951+0 6.006159-4 1.023293+1 4.739707-4 1.273503+1 3.663610-4 1.640590+1 2.741901-4 2.162719+1 2.015487-4 2.917427+1 1.455490-4 4.365158+1 9.483424-5 6.456542+1 6.302798-5 1.135011+2 3.530838-5 2.264644+2 1.751590-5 4.518559+2 8.731017-6 3.589219+3 1.094323-6 1.000000+5 3.925400-8 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 4.978500-4 9.164400-5 1.000000+5 9.164400-5 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.978500-4 2.940400-8 1.000000+5 2.940400-8 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 4.978500-4 4.061766-4 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 4.101900-4 6.004500+4 4.841724-4 5.877961+4 5.500000-4 5.809880+4 5.956621-4 5.719925+4 6.500000-4 5.581320+4 7.000000-4 5.426580+4 7.500000-4 5.251160+4 8.035261-4 5.042987+4 8.709636-4 4.768954+4 9.500000-4 4.456700+4 1.023293-3 4.175854+4 1.110000-3 3.859420+4 1.216186-3 3.508356+4 1.318257-3 3.203917+4 1.450000-3 2.856280+4 1.603245-3 2.512255+4 1.757924-3 2.217018+4 1.950000-3 1.912888+4 2.162719-3 1.638364+4 2.400000-3 1.392738+4 2.691535-3 1.155296+4 3.019952-3 9.503043+3 3.400000-3 7.711180+3 3.801894-3 6.288483+3 4.300000-3 4.985540+3 4.897788-3 3.868155+3 5.559043-3 2.998218+3 6.382635-3 2.251309+3 7.300000-3 1.689678+3 8.300000-3 1.274418+3 9.332543-3 9.786180+2 1.047129-2 7.505321+2 1.188502-2 5.566633+2 1.348963-2 4.099510+2 1.531087-2 2.997587+2 1.757924-2 2.114220+2 2.018366-2 1.479726+2 2.317395-2 1.028014+2 2.660725-2 7.091811+1 3.090295-2 4.707333+1 3.589219-2 3.100857+1 4.216965-2 1.963197+1 5.011872-2 1.193651+1 6.025596-2 6.959861+0 7.498942-2 3.637461+0 1.000000-1 1.534941+0 1.584893-1 3.832149-1 1.995262-1 1.927591-1 2.398833-1 1.119904-1 2.818383-1 7.015838-2 3.235937-1 4.731669-2 3.672823-1 3.319501-2 4.168694-1 2.345446-2 4.677351-1 1.722198-2 5.248075-1 1.273946-2 5.888437-1 9.498371-3 6.531306-1 7.342658-3 7.244360-1 5.714767-3 8.317638-1 4.130994-3 9.015711-1 3.436710-3 9.660509-1 2.954017-3 1.035142+0 2.557153-3 1.135011+0 2.125231-3 1.250000+0 1.763695-3 1.380384+0 1.467511-3 1.659587+0 1.055430-3 1.883649+0 8.474125-4 2.137962+0 6.857008-4 2.454709+0 5.486170-4 2.818383+0 4.423131-4 3.235937+0 3.591919-4 3.758374+0 2.888474-4 4.415704+0 2.302411-4 5.188000+0 1.849283-4 6.165950+0 1.473664-4 7.585776+0 1.132162-4 9.120108+0 9.020563-5 1.148154+1 6.853114-5 1.445440+1 5.247802-5 1.862087+1 3.942747-5 2.426610+1 2.944993-5 3.198895+1 2.185668-5 4.786301+1 1.426624-5 7.328245+1 9.164679-6 1.318257+2 5.024088-6 2.630268+2 2.495780-6 5.248075+2 1.244901-6 4.168694+3 1.561375-7 1.000000+5 6.505400-9 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 4.101900-4 7.207700-5 1.000000+5 7.207700-5 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.101900-4 3.564100-8 1.000000+5 3.564100-8 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.101900-4 3.380774-4 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 3.550500-4 2.639545+5 3.758374-4 2.572873+5 4.315191-4 2.377037+5 4.786301-4 2.252609+5 5.188000-4 2.140937+5 5.688529-4 2.007142+5 6.237348-4 1.865937+5 6.700000-4 1.752492+5 7.300000-4 1.612564+5 8.035261-4 1.458506+5 8.709636-4 1.332795+5 9.549926-4 1.193379+5 1.059254-3 1.046519+5 1.161449-3 9.250002+4 1.303167-3 7.864644+4 1.450000-3 6.714760+4 1.621810-3 5.646686+4 1.819701-3 4.689086+4 2.041738-3 3.865289+4 2.300000-3 3.140772+4 2.600160-3 2.516241+4 2.917427-3 2.029255+4 3.311311-3 1.589411+4 3.758374-3 1.235161+4 4.315191-3 9.298631+3 4.954502-3 6.938159+3 5.688529-3 5.131768+3 6.456542-3 3.863247+3 7.328245-3 2.887426+3 8.317638-3 2.143047+3 9.549926-3 1.535208+3 1.096478-2 1.090343+3 1.244515-2 7.907634+2 1.412538-2 5.693027+2 1.603245-2 4.069655+2 1.840772-2 2.799809+2 2.113489-2 1.911145+2 2.426610-2 1.294617+2 2.786121-2 8.705326+1 3.198895-2 5.812019+1 3.715352-2 3.723295+1 4.315191-2 2.367224+1 5.069907-2 1.442243+1 6.025596-2 8.417109+0 7.161434-2 4.877097+0 9.015711-2 2.336334+0 1.778279-1 2.618507-1 2.113489-1 1.510941-1 2.454709-1 9.448018-2 2.818383-1 6.169991-2 3.198895-1 4.205529-2 3.589219-1 2.988924-2 4.027170-1 2.140184-2 4.466836-1 1.595715-2 4.954502-1 1.198395-2 5.495409-1 9.071822-3 6.095369-1 6.922155-3 6.683439-1 5.480266-3 7.328245-1 4.366647-3 8.511380-1 3.052443-3 9.120108-1 2.602587-3 9.772372-1 2.234683-3 1.047129+0 1.934199-3 1.148154+0 1.607935-3 1.258925+0 1.346929-3 1.396368+0 1.113058-3 1.678804+0 8.015913-4 1.905461+0 6.439518-4 2.162719+0 5.213764-4 2.483133+0 4.174143-4 2.851018+0 3.367443-4 3.273407+0 2.736214-4 3.801894+0 2.201604-4 4.466836+0 1.755885-4 5.248075+0 1.411070-4 6.237348+0 1.125062-4 7.673615+0 8.647036-5 9.225714+0 6.892983-5 1.161449+1 5.238897-5 1.462177+1 4.013104-5 1.883649+1 3.016070-5 2.511886+1 2.197474-5 3.427678+1 1.573359-5 5.069907+1 1.040777-5 8.035261+1 6.459012-6 1.479108+2 3.462977-6 2.951209+2 1.721834-6 5.888437+2 8.592408-7 9.332543+3 5.402855-8 1.000000+5 5.040800-9 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 3.550500-4 6.664900-5 1.000000+5 6.664900-5 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.550500-4 1.650500-8 1.000000+5 1.650500-8 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.550500-4 2.883845-4 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 2.093800-4 2.158506+5 2.180000-4 2.891924+5 2.195000-4 3.016280+5 2.208000-4 3.109440+5 2.218000-4 3.167940+5 2.230000-4 3.220540+5 2.240000-4 3.249580+5 2.255000-4 3.268664+5 2.270000-4 3.261784+5 2.285000-4 3.233436+5 2.300000-4 3.188320+5 2.323000-4 3.095996+5 2.350000-4 2.965140+5 2.380000-4 2.804880+5 2.415000-4 2.611344+5 2.454709-4 2.393613+5 2.580000-4 1.800628+5 2.620000-4 1.655804+5 2.660725-4 1.532398+5 2.691535-4 1.454507+5 2.722701-4 1.388379+5 2.754229-4 1.333415+5 2.786121-4 1.288996+5 2.818383-4 1.254314+5 2.851018-4 1.228748+5 2.884032-4 1.211239+5 2.917427-4 1.201308+5 2.951209-4 1.198273+5 2.990000-4 1.202440+5 3.030000-4 1.214064+5 3.080000-4 1.237716+5 3.130000-4 1.269604+5 3.200000-4 1.324736+5 3.311311-4 1.428916+5 3.550000-4 1.679628+5 3.672823-4 1.808217+5 3.801894-4 1.935650+5 3.935501-4 2.055972+5 4.073803-4 2.167086+5 4.216965-4 2.266737+5 4.365158-4 2.352736+5 4.518559-4 2.425087+5 4.700000-4 2.491520+5 4.897788-4 2.542998+5 5.080000-4 2.572748+5 5.300000-4 2.588500+5 5.500000-4 2.586844+5 5.754399-4 2.568059+5 6.025596-4 2.532679+5 6.309573-4 2.482247+5 6.606934-4 2.417851+5 6.918310-4 2.342240+5 7.328245-4 2.235291+5 7.800000-4 2.108896+5 8.222426-4 1.995390+5 8.709636-4 1.866960+5 9.332543-4 1.711406+5 1.000000-3 1.557320+5 1.071519-3 1.406794+5 1.150000-3 1.259516+5 1.230269-3 1.126550+5 1.333521-3 9.786581+4 1.450000-3 8.389760+4 1.570000-3 7.196200+4 1.717908-3 6.001060+4 1.862087-3 5.065378+4 2.041738-3 4.142737+4 2.238721-3 3.361486+4 2.426610-3 2.783715+4 2.691535-3 2.166926+4 2.985383-3 1.672379+4 3.273407-3 1.319453+4 3.589219-3 1.034883+4 4.000000-3 7.717280+3 4.466836-3 5.677172+3 5.000000-3 4.115400+3 5.559043-3 3.019747+3 6.165950-3 2.216366+3 6.918310-3 1.560163+3 7.762471-3 1.090026+3 8.709636-3 7.556732+2 9.772372-3 5.201439+2 1.096478-2 3.554770+2 1.244515-2 2.320890+2 1.412538-2 1.503520+2 1.584893-2 1.006383+2 1.798871-2 6.425178+1 2.065380-2 3.907904+1 2.371374-2 2.359438+1 2.754229-2 1.355450+1 3.198895-2 7.729210+0 3.801894-2 4.009632+0 4.623810-2 1.889980+0 5.754399-2 8.087392-1 1.047129-1 7.815067-2 1.288250-1 3.501637-2 1.531088-1 1.805799-2 1.778279-1 1.024085-2 2.041738-1 6.107776-3 2.317395-1 3.828141-3 2.630268-1 2.416804-3 2.951209-1 1.602176-3 3.311311-1 1.070159-3 3.672823-1 7.492894-4 4.120975-1 5.081787-4 4.518559-1 3.747920-4 4.954502-1 2.783214-4 5.432503-1 2.084240-4 5.956621-1 1.572301-4 6.531306-1 1.193241-4 7.161434-1 9.117383-5 8.609938-1 5.407412-5 9.120108-1 4.624133-5 9.549926-1 4.104002-5 1.000000+0 3.665431-5 1.047129+0 3.297376-5 1.096478+0 2.986525-5 1.161449+0 2.660176-5 1.230269+0 2.386384-5 1.333521+0 2.063854-5 1.479108+0 1.727030-5 1.840772+0 1.176980-5 2.044000+0 9.856100-6 2.344229+0 7.879871-6 2.691535+0 6.336938-6 3.090295+0 5.133660-6 3.589219+0 4.118661-6 4.168694+0 3.328696-6 4.897788+0 2.666440-6 5.821032+0 2.119335-6 7.000000+0 1.672000-6 8.413951+0 1.328327-6 1.023293+1 1.048238-6 1.273503+1 8.102302-7 1.640590+1 6.064068-7 2.162719+1 4.457403-7 2.917427+1 3.218961-7 4.365158+1 2.097344-7 6.531306+1 1.377410-7 1.148154+2 7.717700-8 2.290868+2 3.829063-8 4.570882+2 1.908771-8 3.630781+3 2.392435-9 1.000000+5 8.68130-11 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 2.093800-4 4.313600-5 1.000000+5 4.313600-5 1 71000 7 7 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.093800-4 2.618600-8 1.000000+5 2.618600-8 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.093800-4 1.662178-4 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 1.993200-4 3.516066+5 2.002000-4 3.531984+5 2.010000-4 3.566082+5 2.020000-4 3.632028+5 2.030000-4 3.722322+5 2.041738-4 3.854199+5 2.080000-4 4.377474+5 2.095000-4 4.566594+5 2.105000-4 4.672812+5 2.115000-4 4.759008+5 2.128000-4 4.838142+5 2.138000-4 4.873416+5 2.151300-4 4.887710+5 2.165000-4 4.867962+5 2.180000-4 4.813224+5 2.198000-4 4.712778+5 2.220000-4 4.554978+5 2.240000-4 4.391214+5 2.270000-4 4.128186+5 2.306200-4 3.804332+5 2.350000-4 3.424926+5 2.465000-4 2.591250+5 2.500000-4 2.398212+5 2.530000-4 2.256486+5 2.560000-4 2.135958+5 2.590000-4 2.035392+5 2.620000-4 1.953438+5 2.650000-4 1.888482+5 2.680000-4 1.839066+5 2.710000-4 1.803654+5 2.740000-4 1.780794+5 2.770000-4 1.769364+5 2.800000-4 1.767924+5 2.837800-4 1.778892+5 2.880000-4 1.803888+5 2.917427-4 1.836730+5 2.951209-4 1.873707+5 3.000000-4 1.937190+5 3.080000-4 2.060358+5 3.350000-4 2.550384+5 3.470000-4 2.770992+5 3.589219-4 2.979009+5 3.700000-4 3.157350+5 3.820000-4 3.331698+5 3.935501-4 3.481435+5 4.050000-4 3.611550+5 4.183900-4 3.740067+5 4.315191-4 3.843254+5 4.466836-4 3.937621+5 4.650000-4 4.020774+5 4.850000-4 4.077744+5 5.011872-4 4.100680+5 5.230000-4 4.103112+5 5.432503-4 4.081443+5 5.688529-4 4.029525+5 6.000000-4 3.939978+5 6.309573-4 3.829786+5 6.683439-4 3.676042+5 7.079458-4 3.502581+5 7.500000-4 3.313956+5 7.943282-4 3.115389+5 8.511380-4 2.869646+5 9.120108-4 2.623183+5 9.772372-4 2.379555+5 1.047129-3 2.144214+5 1.122018-3 1.920094+5 1.216186-3 1.674528+5 1.318257-3 1.449770+5 1.428894-3 1.245365+5 1.548817-3 1.062856+5 1.678804-3 9.005964+4 1.840772-3 7.398634+4 2.030000-3 5.949139+4 2.187762-3 5.007237+4 2.426610-3 3.913152+4 2.691535-3 3.030398+4 2.917427-3 2.469610+4 3.220000-3 1.910016+4 3.589219-3 1.427754+4 4.027170-3 1.039274+4 4.518559-3 7.497732+3 5.069907-3 5.363082+3 5.623413-3 3.938523+3 6.309573-3 2.774231+3 7.079458-3 1.937679+3 7.943282-3 1.343528+3 8.912509-3 9.240661+2 1.000000-2 6.310620+2 1.122018-2 4.277602+2 1.258925-2 2.878821+2 1.428894-2 1.848555+2 1.603245-2 1.227278+2 1.819701-2 7.763488+1 2.065380-2 4.876366+1 2.371374-2 2.914319+1 2.722701-2 1.729126+1 3.126079-2 1.018992+1 3.672823-2 5.455181+0 4.365158-2 2.771391+0 5.188000-2 1.398265+0 6.760830-2 4.844724-1 9.966270-2 1.021585-1 1.216186-1 4.625739-2 1.428894-1 2.452266-2 1.659587-1 1.370265-2 1.883649-1 8.432234-3 2.137962-1 5.228300-3 2.398833-1 3.411557-3 2.660725-1 2.339787-3 2.951209-1 1.616846-3 3.235937-1 1.171798-3 3.548134-1 8.548740-4 3.890451-1 6.280743-4 4.265795-1 4.647530-4 4.623810-1 3.594803-4 5.011872-1 2.800115-4 5.432503-1 2.199669-4 5.888437-1 1.739623-4 6.456542-1 1.338417-4 6.998420-1 1.070479-4 7.585776-1 8.617113-5 8.511380-1 6.377463-5 9.015711-1 5.519313-5 9.549926-1 4.808869-5 1.000000+0 4.331500-5 1.059254+0 3.828140-5 1.135011+0 3.326050-5 1.216186+0 2.909957-5 1.333521+0 2.454516-5 1.717908+0 1.567409-5 1.949845+0 1.260371-5 2.213095+0 1.021976-5 2.540973+0 8.192711-6 2.917427+0 6.616945-6 3.349654+0 5.382665-6 3.890451+0 4.335923-6 4.570882+0 3.462011-6 5.370318+0 2.784962-6 6.382635+0 2.222667-6 7.852356+0 1.709884-6 9.440609+0 1.364338-6 1.188502+1 1.037727-6 1.513561+1 7.851462-7 2.000000+1 5.742200-7 2.786121+1 3.996843-7 4.168694+1 2.601775-7 6.095369+1 1.748456-7 1.047129+2 1.001890-7 2.089296+2 4.966251-8 4.168694+2 2.474355-8 3.311311+3 3.100322-9 1.000000+5 1.02590-10 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 1.993200-4 4.245100-5 1.000000+5 4.245100-5 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 1.993200-4 1.568690-4 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 1.896000-5 6.054598+5 2.070000-5 5.463726+5 2.162719-5 5.214587+5 2.270000-5 4.984464+5 2.371374-5 4.821746+5 2.470000-5 4.709028+5 2.570396-5 4.635462+5 2.660725-5 4.602089+5 2.754229-5 4.599205+5 2.851018-5 4.628679+5 2.951209-5 4.692925+5 3.054921-5 4.794212+5 3.162278-5 4.935548+5 3.273407-5 5.119412+5 3.400000-5 5.373780+5 3.507519-5 5.624996+5 3.650000-5 6.005640+5 3.801894-5 6.466564+5 4.000000-5 7.140840+5 4.731513-5 1.008084+6 5.011872-5 1.128082+6 5.308844-5 1.255141+6 5.650000-5 1.399662+6 6.025596-5 1.554872+6 6.456542-5 1.728719+6 6.918310-5 1.909676+6 7.413102-5 2.095484+6 7.900000-5 2.265888+6 8.317638-5 2.399222+6 8.810489-5 2.539018+6 9.300000-5 2.657544+6 9.800000-5 2.757972+6 1.040000-4 2.855022+6 1.109175-4 2.941308+6 1.190000-4 3.013944+6 1.273503-4 3.064988+6 1.350000-4 3.091200+6 1.445440-4 3.098371+6 1.540000-4 3.081714+6 1.650000-4 3.037044+6 1.760000-4 2.976474+6 1.900000-4 2.881482+6 2.018366-4 2.792694+6 2.150000-4 2.683164+6 2.290868-4 2.560099+6 2.450000-4 2.414874+6 2.600160-4 2.280030+6 2.786121-4 2.116179+6 2.951209-4 1.977313+6 3.162278-4 1.807015+6 3.350000-4 1.665126+6 3.600000-4 1.491660+6 3.850000-4 1.335330+6 4.100000-4 1.195986+6 4.415704-4 1.040617+6 4.731513-4 9.067094+5 5.011872-4 8.042945+5 5.400000-4 6.833640+5 5.821032-4 5.749559+5 6.237348-4 4.874590+5 6.683439-4 4.106535+5 7.244360-4 3.336565+5 7.852356-4 2.690269+5 8.511380-4 2.154428+5 9.225714-4 1.713669+5 1.000000-3 1.354008+5 1.096478-3 1.027050+5 1.202264-3 7.732817+4 1.318257-3 5.780857+4 1.445440-3 4.292281+4 1.603245-3 3.047119+4 1.778279-3 2.146349+4 1.972423-3 1.501072+4 2.187762-3 1.042542+4 2.426610-3 7.190379+3 2.691535-3 4.925541+3 3.019952-3 3.210397+3 3.388442-3 2.075988+3 3.801894-3 1.332336+3 4.265795-3 8.489609+2 4.786301-3 5.371934+2 5.370318-3 3.375950+2 6.095369-3 2.009643+2 6.839116-3 1.245647+2 7.673615-3 7.666496+1 8.709636-3 4.460061+1 9.660509-3 2.841797+1 1.059254-2 1.890269+1 1.096478-2 1.618594+1 1.258925-2 8.600405+0 1.303167-2 7.368704+0 1.513561-2 3.822000+0 1.659587-2 2.520284+0 1.840772-2 1.565799+0 2.371374-2 4.829769-1 2.851018-2 2.037270-1 3.311311-2 1.003543-1 4.216965-2 3.167808-2 6.683439-2 3.495824-3 8.317638-2 1.234997-3 1.000000-1 5.178800-4 1.161449-1 2.571215-4 1.333521-1 1.356667-4 1.513561-1 7.604290-5 1.698244-1 4.525042-5 1.905461-1 2.711243-5 2.137962-1 1.635796-5 2.371374-1 1.045024-5 2.630268-1 6.725494-6 2.884032-1 4.577095-6 3.162278-1 3.135213-6 3.467369-1 2.161578-6 3.801894-1 1.500342-6 4.265795-1 9.580786-7 4.623810-1 7.050030-7 4.954502-1 5.458260-7 5.248075-1 4.445858-7 5.688529-1 3.361691-7 6.839117-1 1.791319-7 7.413102-1 1.368930-7 8.609938-1 8.421444-8 9.015711-1 7.307699-8 9.332543-1 6.603547-8 9.660509-1 5.997723-8 1.000000+0 5.479000-8 1.035142+0 5.036141-8 1.071519+0 4.652782-8 1.122018+0 4.216165-8 1.174898+0 3.846878-8 1.244515+0 3.457105-8 1.333521+0 3.062549-8 1.513561+0 2.481761-8 1.883649+0 1.691702-8 2.089296+0 1.420577-8 2.371374+0 1.156049-8 2.722701+0 9.303612-9 3.126079+0 7.542523-9 3.630781+0 6.054768-9 4.265795+0 4.818047-9 5.011872+0 3.863638-9 5.956621+0 3.074079-9 7.244360+0 2.392978-9 8.709636+0 1.903122-9 1.083927+1 1.463089-9 1.364583+1 1.118215-9 1.737801+1 8.49631-10 2.264644+1 6.33460-10 3.000000+1 4.66980-10 4.518559+1 3.02300-10 6.839116+1 1.96313-10 1.202264+2 1.10070-10 2.398833+2 5.46333-11 4.786301+2 2.72407-11 3.801894+3 3.41506-12 1.000000+5 1.29760-13 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 1.896000-5 1.896000-5 1.000000+5 1.896000-5 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.896000-5 0.0 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 1.732000-5 9.119280+5 1.800000-5 8.588400+5 1.883649-5 8.039714+5 1.972423-5 7.572821+5 2.041738-5 7.280434+5 2.113489-5 7.034511+5 2.190000-5 6.827136+5 2.270000-5 6.664824+5 2.350000-5 6.552248+5 2.426610-5 6.486567+5 2.511886-5 6.457571+5 2.600160-5 6.473055+5 2.691535-5 6.534693+5 2.786121-5 6.644753+5 2.884032-5 6.805712+5 2.985383-5 7.020739+5 3.090295-5 7.292767+5 3.198895-5 7.624865+5 3.311311-5 8.019567+5 3.450000-5 8.572880+5 3.630781-5 9.392803+5 3.845918-5 1.049092+6 4.466836-5 1.411272+6 4.786301-5 1.606816+6 5.069907-5 1.778612+6 5.400000-5 1.974512+6 5.800000-5 2.204472+6 6.237348-5 2.447647+6 6.683439-5 2.685675+6 7.161434-5 2.929485+6 7.650000-5 3.161416+6 8.128305-5 3.365365+6 8.609938-5 3.545560+6 9.120108-5 3.706304+6 9.660509-5 3.842932+6 1.023293-4 3.957108+6 1.083927-4 4.049740+6 1.161449-4 4.133319+6 1.244515-4 4.192018+6 1.330000-4 4.219200+6 1.412538-4 4.218344+6 1.500000-4 4.190240+6 1.603245-4 4.127094+6 1.698244-4 4.051359+6 1.840772-4 3.913576+6 1.950000-4 3.798008+6 2.089296-4 3.637001+6 2.220000-4 3.478504+6 2.389200-4 3.265267+6 2.540973-4 3.075117+6 2.730000-4 2.846472+6 2.900000-4 2.648408+6 3.090295-4 2.439412+6 3.311311-4 2.210630+6 3.507519-4 2.024509+6 3.780000-4 1.791344+6 4.027170-4 1.602588+6 4.265795-4 1.440395+6 4.600000-4 1.241920+6 4.954502-4 1.064118+6 5.248075-4 9.386278+5 5.623413-4 8.022235+5 6.025596-4 6.813326+5 6.456542-4 5.749227+5 7.000000-4 4.677504+5 7.585776-4 3.780447+5 8.222426-4 3.032047+5 8.912509-4 2.415596+5 9.660509-4 1.911286+5 1.059254-3 1.451466+5 1.161449-3 1.094094+5 1.273503-3 8.187851+4 1.396368-3 6.085388+4 1.548817-3 4.324293+4 1.717908-3 3.048945+4 1.905461-3 2.133286+4 2.113489-3 1.481796+4 2.344229-3 1.022084+4 2.600160-3 7.001703+3 2.917427-3 4.564376+3 3.273407-3 2.951942+3 3.672823-3 1.894508+3 4.168694-3 1.153809+3 4.677351-3 7.300667+2 5.188000-3 4.803456+2 5.688529-3 3.290212+2 6.382635-3 2.033192+2 7.852356-3 8.433995+1 8.709636-3 5.402435+1 9.549926-3 3.612687+1 1.035142-2 2.524768+1 1.096478-2 1.945968+1 1.258925-2 1.027285+1 1.380384-2 6.792451+0 1.621810-2 3.328196+0 1.819701-2 1.965385+0 2.041738-2 1.152203+0 2.317395-2 6.357508-1 2.691535-2 3.123376-1 3.507519-2 8.776960-2 4.623810-2 2.311886-2 7.413102-2 2.355364-3 9.015711-2 9.199035-4 1.059254-1 4.271118-4 1.230269-1 2.110094-4 1.396368-1 1.169989-4 1.566751-1 6.891946-5 1.737801-1 4.308143-5 1.927525-1 2.711281-5 2.137962-1 1.718948-5 2.371374-1 1.098299-5 2.600160-1 7.430596-6 2.818383-1 5.313730-6 3.054921-1 3.825598-6 3.311311-1 2.772288-6 3.630781-1 1.933316-6 3.935501-1 1.420889-6 4.265795-1 1.052460-6 4.570882-1 8.194277-7 4.897788-1 6.421068-7 5.248075-1 5.064707-7 5.623413-1 4.026356-7 6.095369-1 3.104635-7 6.683439-1 2.326557-7 7.244360-1 1.816763-7 7.762471-1 1.478773-7 8.511380-1 1.130932-7 9.015711-1 9.629865-8 9.440609-1 8.519906-8 9.885531-1 7.588016-8 1.035142+0 6.809786-8 1.083927+0 6.156010-8 1.135011+0 5.599764-8 1.202264+0 5.010385-8 1.303167+0 4.325775-8 1.428894+0 3.686421-8 1.513561+0 3.342219-8 1.819701+0 2.417546-8 2.018366+0 2.026532-8 2.290868+0 1.646327-8 2.630268+0 1.322304-8 3.019952+0 1.069955-8 3.507519+0 8.573862-9 4.073803+0 6.921973-9 4.786301+0 5.538876-9 5.688529+0 4.397682-9 6.839116+0 3.467086-9 8.317638+0 2.712589-9 1.000000+1 2.169400-9 1.244515+1 1.675537-9 1.603245+1 1.253125-9 2.113489+1 9.20467-10 2.884032+1 6.56150-10 4.315191+1 4.27419-10 6.382635+1 2.84012-10 1.109175+2 1.60961-10 2.213095+2 7.98310-11 4.415704+2 3.97871-11 3.507519+3 4.98642-12 1.000000+5 1.74790-13 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 1.732000-5 1.732000-5 1.000000+5 1.732000-5 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 1.732000-5 0.0 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 6.634000-5 5.871760+4 6.760830-5 5.620509+4 6.850000-5 5.485520+4 6.970000-5 5.350060+4 7.079458-5 5.265858+4 7.190000-5 5.212920+4 7.328245-5 5.181880+4 7.473600-5 5.185166+4 7.650000-5 5.228300+4 7.852356-5 5.316934+4 8.128305-5 5.481879+4 9.225714-5 6.288410+4 9.660509-5 6.576316+4 1.011579-4 6.826440+4 1.047129-4 6.982915+4 1.083927-4 7.109783+4 1.135011-4 7.231920+4 1.190000-4 7.304560+4 1.258925-4 7.331112+4 1.333521-4 7.304017+4 1.412538-4 7.232176+4 1.500000-4 7.114840+4 1.603245-4 6.936943+4 1.698244-4 6.744545+4 1.819701-4 6.471696+4 1.950000-4 6.163860+4 2.113489-4 5.782477+4 2.317395-4 5.337767+4 2.540973-4 4.892733+4 2.786121-4 4.451215+4 3.126079-4 3.920546+4 3.548134-4 3.384511+4 4.000000-4 2.922860+4 4.677351-4 2.392468+4 5.370318-4 1.991514+4 6.456542-4 1.545560+4 7.673615-4 1.208846+4 9.120108-4 9.387930+3 1.083927-3 7.241541+3 1.300000-3 5.469700+3 1.548817-3 4.144492+3 1.850000-3 3.104800+3 2.213095-3 2.303095+3 2.630268-3 1.714559+3 3.162278-3 1.242129+3 3.758374-3 9.118328+2 4.570882-3 6.372178+2 5.559043-3 4.418923+2 6.839116-3 2.975162+2 8.317638-3 2.032312+2 1.011579-2 1.378024+2 1.244515-2 9.061514+1 1.500000-2 6.163659+1 1.798871-2 4.202820+1 2.137962-2 2.899530+1 2.570396-2 1.936533+1 3.235937-2 1.158844+1 3.845918-2 7.833104+0 4.415704-2 5.685389+0 5.188000-2 3.881483+0 6.165950-2 2.558441+0 7.413102-2 1.627624+0 9.015711-2 9.987320-1 1.071519-1 6.448638-1 1.364583-1 3.464563-1 2.630268-1 6.317312-2 3.198895-1 3.828351-2 3.758374-1 2.551787-2 4.315191-1 1.814612-2 4.954502-1 1.300043-2 5.623413-1 9.645759-3 6.309573-1 7.403662-3 7.079458-1 5.721947-3 8.000000-1 4.385300-3 8.912509-1 3.487345-3 9.885531-1 2.819914-3 1.148154+0 2.097567-3 1.288250+0 1.681092-3 1.462177+0 1.328290-3 1.640590+0 1.080040-3 1.862087+0 8.668471-4 2.113489+0 7.010265-4 2.426610+0 5.605023-4 2.786121+0 4.516163-4 3.198895+0 3.665365-4 3.715352+0 2.945866-4 4.365158+0 2.346802-4 5.128614+0 1.883897-4 6.095369+0 1.500497-4 7.498942+0 1.152245-4 9.015711+0 9.176345-5 1.135011+1 6.968612-5 1.428894+1 5.334284-5 1.819701+1 4.058263-5 2.371374+1 3.029508-5 3.126079+1 2.247220-5 4.677351+1 1.466141-5 7.161434+1 9.414695-6 1.273503+2 5.220291-6 2.540973+2 2.592486-6 5.069907+2 1.292925-6 4.027170+3 1.621393-7 1.000000+5 6.526100-9 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 6.634000-5 6.634000-5 1.000000+5 6.634000-5 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 6.634000-5 0.0 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 4.152000-5 5.656379+6 4.315191-5 4.951118+6 5.011872-5 2.921756+6 5.308844-5 2.371957+6 5.688529-5 1.832826+6 6.165950-5 1.344956+6 7.161434-5 7.531101+5 7.852356-5 5.308559+5 8.511380-5 3.934298+5 9.225714-5 2.936134+5 9.900000-5 2.287060+5 1.060000-4 1.808094+5 1.122018-4 1.497214+5 1.174898-4 1.292220+5 1.240000-4 1.095224+5 1.303167-4 9.472802+4 1.364583-4 8.335857+4 1.430000-4 7.370040+4 1.500000-4 6.548360+4 1.566751-4 5.919895+4 1.640590-4 5.359007+4 1.720000-4 4.875880+4 1.800000-4 4.484640+4 1.883649-4 4.152979+4 1.980000-4 3.843920+4 2.089600-4 3.561314+4 2.220000-4 3.292900+4 2.371374-4 3.046041+4 2.570396-4 2.792403+4 2.818383-4 2.549729+4 3.235937-4 2.247165+4 4.315191-4 1.738433+4 5.011872-4 1.511883+4 5.754399-4 1.319732+4 6.531306-4 1.157599+4 7.413102-4 1.008241+4 8.413951-4 8.720408+3 9.660509-4 7.381455+3 1.096478-3 6.285605+3 1.230269-3 5.396476+3 1.396368-3 4.529289+3 1.584893-3 3.772953+3 1.798871-3 3.118530+3 2.041738-3 2.557643+3 2.317395-3 2.081118+3 2.630268-3 1.680394+3 2.985383-3 1.346568+3 3.388442-3 1.071002+3 3.845918-3 8.455675+2 4.365158-3 6.627607+2 4.954502-3 5.157580+2 5.623413-3 3.985074+2 6.382635-3 3.057798+2 7.244360-3 2.330002+2 8.222426-3 1.762972+2 9.332543-3 1.324774+2 1.059254-2 9.885912+1 1.202264-2 7.325704+1 1.364583-2 5.391327+1 1.548817-2 3.940802+1 1.778279-2 2.778346+1 2.075770-2 1.867461+1 2.344229-2 1.355682+1 2.691535-2 9.347699+0 3.162278-2 6.004530+0 3.672823-2 3.953430+0 4.315191-2 2.501924+0 5.128614-2 1.520509+0 6.165950-2 8.863709-1 7.673615-2 4.632215-1 1.023293-1 1.954837-1 1.603245-1 5.055923-2 2.000000-1 2.614407-2 2.398833-1 1.529955-2 2.818383-1 9.586095-3 3.235937-1 6.465636-3 3.672823-1 4.536146-3 4.168694-1 3.205170-3 4.677351-1 2.353516-3 5.188000-1 1.793644-3 5.821032-1 1.336318-3 6.531306-1 1.003482-3 7.244360-1 7.809577-4 8.317638-1 5.644770-4 9.015711-1 4.695928-4 9.660509-1 4.036350-4 1.035142+0 3.494129-4 1.135011+0 2.903860-4 1.250000+0 2.409700-4 1.380384+0 2.004985-4 1.659587+0 1.441950-4 1.883649+0 1.157685-4 2.137962+0 9.366359-5 2.454709+0 7.493599-5 2.818383+0 6.041763-5 3.235937+0 4.906470-5 3.758374+0 3.945586-5 4.415704+0 3.145069-5 5.188000+0 2.526088-5 6.165950+0 2.012979-5 7.585776+0 1.546490-5 9.120108+0 1.232230-5 1.148154+1 9.361307-6 1.445440+1 7.168440-6 1.862087+1 5.385702-6 2.426610+1 4.022809-6 3.198895+1 2.985583-6 4.841724+1 1.925298-6 7.498942+1 1.222535-6 1.348963+2 6.703915-7 2.691535+2 3.330883-7 5.370318+2 1.661624-7 8.511380+3 1.044332-8 1.000000+5 8.88640-10 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 4.152000-5 4.152000-5 1.000000+5 4.152000-5 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 4.152000-5 0.0 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 3.422000-5 1.294532+7 3.589219-5 1.058893+7 3.758374-5 8.792033+6 4.000000-5 6.899240+6 4.623810-5 3.960568+6 5.888437-5 1.545927+6 6.309573-5 1.190037+6 6.683439-5 9.629085+5 7.079458-5 7.846124+5 7.413102-5 6.698960+5 7.800000-5 5.662960+5 8.150000-5 4.929120+5 8.511380-5 4.323921+5 8.912509-5 3.790450+5 9.300000-5 3.380440+5 9.660509-5 3.070426+5 1.000000-4 2.827860+5 1.040000-4 2.590516+5 1.083927-4 2.377218+5 1.135011-4 2.176370+5 1.190000-4 2.002448+5 1.244515-4 1.862098+5 1.303167-4 1.737638+5 1.380384-4 1.604592+5 1.462177-4 1.491383+5 1.566751-4 1.375934+5 1.698244-4 1.262275+5 1.905461-4 1.126092+5 2.630268-4 8.266834+4 3.100000-4 7.010760+4 3.589219-4 6.009405+4 4.120975-4 5.157781+4 4.786301-4 4.336643+4 5.500000-4 3.663136+4 6.382635-4 3.033137+4 7.328245-4 2.525787+4 8.413951-4 2.088414+4 9.660509-4 1.713750+4 1.109175-3 1.395766+4 1.273503-3 1.128020+4 1.445440-3 9.214698+3 1.640590-3 7.475696+3 1.862087-3 6.022968+3 2.113489-3 4.818759+3 2.398833-3 3.828244+3 2.722701-3 3.019918+3 3.090295-3 2.365330+3 3.507519-3 1.839363+3 4.000000-3 1.406524+3 4.570882-3 1.063058+3 5.188000-3 8.091376+2 5.888437-3 6.115872+2 6.683439-3 4.591883+2 7.585776-3 3.423328+2 8.709636-3 2.465621+2 9.885531-3 1.811787+2 1.122018-2 1.321843+2 1.273503-2 9.575682+1 1.445440-2 6.888016+1 1.640590-2 4.919830+1 1.862087-2 3.489525+1 2.137962-2 2.381136+1 2.454709-2 1.612851+1 2.818383-2 1.084539+1 3.235937-2 7.241037+0 3.758374-2 4.639008+0 4.365158-2 2.949520+0 5.128614-2 1.797153+0 6.095369-2 1.048965+0 7.244360-2 6.077153-1 9.225714-2 2.805236-1 1.717908-1 3.792922-2 2.065380-1 2.110052-2 2.426610-1 1.271940-2 2.786121-1 8.301413-3 3.162278-1 5.654598-3 3.548134-1 4.016298-3 3.981072-1 2.873873-3 4.415705-1 2.141436-3 4.897788-1 1.607186-3 5.432503-1 1.215776-3 6.025596-1 9.269993-4 6.683439-1 7.124412-4 7.328245-1 5.676457-4 8.413951-1 4.078241-4 9.015711-1 3.474682-4 9.660509-1 2.980388-4 1.023293+0 2.638879-4 1.109175+0 2.240230-4 1.216186+0 1.871340-4 1.333521+0 1.574865-4 1.513561+0 1.253464-4 1.737801+0 9.815154-5 1.972423+0 7.901085-5 2.238721+0 6.410219-5 2.570396+0 5.142101-5 2.951209+0 4.155976-5 3.427678+0 3.326245-5 4.000000+0 2.664500-5 4.677351+0 2.144035-5 5.495409+0 1.726500-5 6.531306+0 1.379279-5 8.035261+0 1.061987-5 9.660509+0 8.481990-6 1.216186+1 6.456700-6 1.566751+1 4.825101-6 2.089296+1 3.497101-6 2.851018+1 2.492108-6 4.265795+1 1.622957-6 6.309573+1 1.078173-6 1.109175+2 6.038208-7 2.213095+2 2.994738-7 4.415704+2 1.492554-7 3.507519+3 1.870623-8 1.000000+5 6.55680-10 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 3.422000-5 3.422000-5 1.000000+5 3.422000-5 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 3.422000-5 0.0 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 4.450000-6 2.148632+6 4.677351-6 2.271708+6 4.897788-6 2.371415+6 5.128614-6 2.457284+6 5.432503-6 2.547724+6 5.754399-6 2.621222+6 6.200000-6 2.695824+6 6.606934-6 2.742494+6 7.200000-6 2.784028+6 7.852356-6 2.806849+6 8.609938-6 2.810872+6 9.440609-6 2.794396+6 1.023293-5 2.764288+6 1.109175-5 2.716056+6 1.202264-5 2.650481+6 1.288250-5 2.576365+6 1.364583-5 2.501473+6 1.445440-5 2.413740+6 1.531087-5 2.313451+6 1.621810-5 2.200866+6 1.698244-5 2.102406+6 1.778279-5 1.997503+6 1.862087-5 1.887555+6 1.950000-5 1.773744+6 2.041738-5 1.657962+6 2.162719-5 1.512051+6 2.290868-5 1.368353+6 2.426610-5 1.229407+6 2.580000-5 1.088788+6 2.754229-5 9.497804+5 2.951209-5 8.160915+5 3.198895-5 6.780176+5 3.427678-5 5.746104+5 3.715352-5 4.700117+5 3.981072-5 3.928135+5 4.265795-5 3.259152+5 4.518559-5 2.772382+5 4.800000-5 2.323776+5 5.069907-5 1.969004+5 5.400000-5 1.613992+5 5.688529-5 1.362172+5 6.025596-5 1.121743+5 6.400000-5 9.097440+4 6.839116-5 7.167230+4 7.300000-5 5.630920+4 7.800000-5 4.373600+4 8.222426-5 3.556683+4 8.709636-5 2.821120+4 9.225714-5 2.221656+4 9.772372-5 1.736786+4 1.035142-4 1.346606+4 1.096478-4 1.036359+4 1.174898-4 7.501740+3 1.333521-4 4.111336+3 1.380384-4 3.503431+3 1.428894-4 3.001176+3 1.479108-4 2.590079+3 1.500000-4 2.446056+3 1.531087-4 2.276139+3 1.566751-4 2.112424+3 1.603245-4 1.972948+3 1.640590-4 1.854031+3 1.678804-4 1.752667+3 1.717908-4 1.666394+3 1.757924-4 1.593184+3 1.798871-4 1.531366+3 1.840772-4 1.479555+3 1.883649-4 1.436604+3 1.927525-4 1.401557+3 1.972423-4 1.373622+3 2.000000-4 1.359932+3 2.041738-4 1.349385+3 2.113489-4 1.341809+3 2.187762-4 1.345397+3 2.264644-4 1.358749+3 2.344229-4 1.380644+3 2.454709-4 1.421164+3 2.600160-4 1.486192+3 3.000000-4 1.677536+3 3.198895-4 1.705238+3 3.427678-4 1.723001+3 3.630781-4 1.726953+3 3.845918-4 1.720063+3 4.027170-4 1.705715+3 4.265795-4 1.673753+3 4.518559-4 1.631946+3 4.786301-4 1.581646+3 5.128614-4 1.512270+3 5.495409-4 1.435270+3 5.888437-4 1.352328+3 6.309573-4 1.265504+3 6.760830-4 1.176491+3 7.244360-4 1.086834+3 7.852356-4 9.833096+2 8.511380-4 8.827673+2 9.225714-4 7.868130+2 1.000000-3 6.965320+2 1.083927-3 6.123201+2 1.174898-3 5.346693+2 1.273503-3 4.638176+2 1.380384-3 3.998067+2 1.513561-3 3.348731+2 1.662000-3 2.775379+2 1.819701-3 2.296411+2 2.000000-3 1.870652+2 2.187762-3 1.528831+2 2.398833-3 1.234276+2 2.660725-3 9.626526+1 2.951209-3 7.449711+1 3.273407-3 5.720612+1 3.630781-3 4.359836+1 4.027170-3 3.298476+1 4.466836-3 2.477855+1 4.954502-3 1.848553+1 5.495409-3 1.369860+1 6.165950-3 9.743490+0 6.918310-3 6.875783+0 7.762471-3 4.814228+0 8.709636-3 3.344031+0 9.772372-3 2.305382+0 1.096478-2 1.578177+0 1.244515-2 1.032528+0 1.412538-2 6.702010-1 1.584893-2 4.493375-1 1.798871-2 2.873522-1 2.065380-2 1.750632-1 2.371374-2 1.058605-1 2.754229-2 6.091118-2 3.198895-2 3.478485-2 3.801894-2 1.807385-2 4.623810-2 8.533171-3 5.688529-2 3.824655-3 1.071519-1 3.241590-4 1.318257-1 1.454523-4 1.566751-1 7.511289-5 1.819701-1 4.265355-5 2.089296-1 2.547285-5 2.371374-1 1.598697-5 2.691535-1 1.010744-5 3.019952-1 6.709692-6 3.388442-1 4.487460-6 3.758374-1 3.145984-6 4.216965-1 2.136873-6 4.623810-1 1.578766-6 5.011872-1 1.218727-6 5.495409-1 9.144002-7 6.095369-1 6.673330-7 6.683439-1 5.070866-7 7.328245-1 3.880187-7 8.511380-1 2.543552-7 9.015711-1 2.175579-7 9.440609-1 1.930533-7 9.885531-1 1.723225-7 1.035142+0 1.548649-7 1.083927+0 1.401142-7 1.148154+0 1.246314-7 1.216186+0 1.116571-7 1.318257+0 9.643982-8 1.531087+0 7.439955-8 1.819701+0 5.492195-8 2.018366+0 4.604160-8 2.290868+0 3.740181-8 2.630268+0 3.004096-8 3.019952+0 2.430887-8 3.507519+0 1.947936-8 4.073803+0 1.572645-8 4.786301+0 1.258441-8 5.688529+0 9.991413-9 6.839116+0 7.877077-9 8.317638+0 6.162866-9 1.000000+1 4.928800-9 1.244515+1 3.806778-9 1.603245+1 2.846968-9 2.137962+1 2.064914-9 2.884032+1 1.490756-9 4.365158+1 9.59381-10 6.456542+1 6.37618-10 1.122018+2 3.61419-10 2.238721+2 1.79279-10 4.466836+2 8.93548-11 3.548134+3 1.11991-11 1.000000+5 3.97110-13 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 4.450000-6 4.450000-6 1.000000+5 4.450000-6 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 4.450000-6 0.0 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 4.030000-6 4.170871+6 4.160000-6 4.274298+6 4.365158-6 4.402383+6 4.600000-6 4.512462+6 4.850000-6 4.596912+6 5.200000-6 4.671330+6 5.559043-6 4.710399+6 6.025596-6 4.724597+6 6.606934-6 4.704922+6 7.328245-6 4.645347+6 8.222426-6 4.544030+6 9.120108-6 4.423979+6 1.000000-5 4.294728+6 1.083927-5 4.159675+6 1.161449-5 4.027671+6 1.258925-5 3.850363+6 1.348963-5 3.677372+6 1.428894-5 3.516351+6 1.513561-5 3.341251+6 1.603245-5 3.153390+6 1.690000-5 2.970654+6 1.778279-5 2.786356+6 1.883649-5 2.572749+6 1.995262-5 2.356549+6 2.113489-5 2.141098+6 2.238721-5 1.931216+6 2.371374-5 1.729921+6 2.511886-5 1.539295+6 2.691535-5 1.328426+6 2.884032-5 1.137825+6 3.126079-5 9.420566+5 3.349654-5 7.958697+5 3.630781-5 6.489117+5 3.890451-5 5.407304+5 4.168694-5 4.475737+5 4.415704-5 3.798454+5 4.720000-5 3.119184+5 5.011872-5 2.591862+5 5.308844-5 2.156087+5 5.623413-5 1.780853+5 6.000000-5 1.425186+5 6.382635-5 1.143219+5 6.800000-5 9.059940+4 7.300000-5 6.919740+4 7.673615-5 5.695703+4 8.222426-5 4.316805+4 8.709636-5 3.401060+4 9.225714-5 2.661638+4 9.800000-5 2.040702+4 1.035142-4 1.593105+4 1.109175-4 1.155621+4 1.258925-4 6.346234+3 1.318257-4 5.133690+3 1.364583-4 4.406525+3 1.396368-4 3.996045+3 1.428894-4 3.637920+3 1.462177-4 3.326654+3 1.500000-4 3.030240+3 1.531087-4 2.866321+3 1.566751-4 2.708772+3 1.609700-4 2.554167+3 1.640590-4 2.462420+3 1.678804-4 2.367480+3 1.717908-4 2.288151+3 1.757924-4 2.222534+3 1.798871-4 2.169045+3 1.840772-4 2.126357+3 1.883649-4 2.093351+3 1.949845-4 2.059966+3 2.000000-4 2.046420+3 2.065380-4 2.042913+3 2.137962-4 2.052377+3 2.213095-4 2.073904+3 2.317395-4 2.118747+3 2.426610-4 2.178866+3 2.884032-4 2.474104+3 3.000000-4 2.539350+3 3.198895-4 2.564505+3 3.388442-4 2.571066+3 3.589219-4 2.561851+3 3.801894-4 2.536532+3 4.027170-4 2.494584+3 4.265795-4 2.433681+3 4.518559-4 2.359796+3 4.841724-4 2.256928+3 5.188000-4 2.142332+3 5.559043-4 2.019177+3 5.956621-4 1.890121+3 6.382635-4 1.758300+3 6.839116-4 1.625361+3 7.328245-4 1.492880+3 7.943282-4 1.341846+3 8.609938-4 1.197592+3 9.332543-4 1.061534+3 1.011579-3 9.346272+2 1.096478-3 8.172922+2 1.188502-3 7.099841+2 1.288250-3 6.128184+2 1.396368-3 5.256616+2 1.531087-3 4.379133+2 1.678804-3 3.621177+2 1.778279-3 3.199264+2 1.949845-3 2.604785+2 2.137962-3 2.106203+2 2.426610-3 1.558662+2 2.691535-3 1.209244+2 2.985383-3 9.309678+1 3.311311-3 7.108341+1 3.672823-3 5.386195+1 4.073803-3 4.051368+1 4.518559-3 3.025832+1 5.011872-3 2.244191+1 5.559043-3 1.653209+1 6.165950-3 1.209780+1 6.839116-3 8.795569+0 7.673615-3 6.125544+0 8.511380-3 4.392655+0 9.549926-3 3.013265+0 1.071519-2 2.051934+0 1.202264-2 1.387958+0 1.348963-2 9.325068-1 1.513561-2 6.222968-1 1.717908-2 3.956872-1 1.949845-2 2.497317-1 2.238721-2 1.499778-1 2.570396-2 8.938734-2 2.985383-2 5.062413-2 3.467369-2 2.844250-2 4.120975-2 1.450665-2 5.011872-2 6.707211-3 6.456542-2 2.444989-3 1.035142-1 3.704157-4 1.258925-1 1.703604-4 1.479108-1 9.050099-5 1.698244-1 5.298577-5 1.927525-1 3.266384-5 2.162719-1 2.118265-5 2.426610-1 1.383938-5 2.691535-1 9.503493-6 2.985383-1 6.576085-6 3.273407-1 4.773103-6 3.589219-1 3.488413-6 3.935501-1 2.568206-6 4.315191-1 1.904983-6 4.677351-1 1.476850-6 5.069907-1 1.153009-6 5.495409-1 9.071419-7 6.000000-1 7.038900-7 6.531306-1 5.545065-7 7.079458-1 4.450704-7 7.673615-1 3.596932-7 8.511380-1 2.756233-7 9.015711-1 2.390863-7 9.549926-1 2.087125-7 1.011579+0 1.835634-7 1.083927+0 1.587593-7 1.161449+0 1.383156-7 1.258925+0 1.186534-7 1.380384+0 1.003012-7 1.757924+0 6.542216-8 1.972423+0 5.371412-8 2.238721+0 4.357871-8 2.570396+0 3.495734-8 2.951209+0 2.825294-8 3.427678+0 2.261238-8 4.000000+0 1.811400-8 4.677351+0 1.457621-8 5.495409+0 1.173780-8 6.531306+0 9.377057-9 8.035261+0 7.219878-9 9.660509+0 5.766288-9 1.216186+1 4.389414-9 1.548817+1 3.323425-9 2.065380+1 2.407775-9 2.851018+1 1.694162-9 4.265795+1 1.103316-9 6.309573+1 7.33001-10 1.096478+2 4.15350-10 2.187762+2 2.05975-10 4.365158+2 1.02647-10 3.467369+3 1.28646-11 1.000000+5 4.45750-13 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 4.030000-6 4.030000-6 1.000000+5 4.030000-6 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 4.030000-6 0.0 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 6.330000-6 5.297729+6 7.244360-6 2.996833+6 8.035261-6 1.919238+6 8.810489-6 1.282173+6 9.660509-6 8.504425+5 1.059254-5 5.599608+5 1.161449-5 3.661548+5 1.428894-5 1.391534+5 1.513561-5 1.068645+5 1.590000-5 8.577500+4 1.659587-5 7.135865+4 1.717908-5 6.191683+4 1.778279-5 5.410989+4 1.830000-5 4.869260+4 1.883649-5 4.408043+4 1.935000-5 4.045160+4 1.990000-5 3.726460+4 2.041738-5 3.481215+4 2.090000-5 3.292020+4 2.137962-5 3.135731+4 2.190000-5 2.996260+4 2.250000-5 2.867680+4 2.300000-5 2.782380+4 2.350000-5 2.713540+4 2.420000-5 2.639940+4 2.500000-5 2.581560+4 2.580000-5 2.544140+4 2.660725-5 2.522252+4 2.770000-5 2.510800+4 2.917427-5 2.516351+4 3.162278-5 2.549460+4 3.630781-5 2.616489+4 3.935501-5 2.637688+4 4.220000-5 2.636840+4 4.500000-5 2.617100+4 4.800000-5 2.578940+4 5.128614-5 2.522281+4 5.500000-5 2.444860+4 5.900000-5 2.351280+4 6.309573-5 2.249458+4 6.839116-5 2.117503+4 7.500000-5 1.959712+4 8.300000-5 1.784376+4 9.440609-5 1.570786+4 1.109175-4 1.326630+4 1.800000-4 7.866480+3 2.018366-4 6.906814+3 2.213095-4 6.176158+3 2.483133-4 5.326985+3 2.851018-4 4.422265+3 3.630781-4 3.166493+3 4.841724-4 2.112783+3 5.688529-4 1.669654+3 8.035261-4 1.001085+3 9.772372-4 7.416513+2 1.244515-3 5.081336+2 1.513561-3 3.715889+2 1.840772-3 2.695055+2 2.213095-3 1.977495+2 2.660725-3 1.440483+2 3.163750-3 1.062112+2 3.890451-3 7.320634+1 4.786301-3 5.002512+1 5.821032-3 3.465100+1 7.079458-3 2.382437+1 8.609938-3 1.625889+1 1.047129-2 1.101355+1 1.258925-2 7.581153+0 1.513561-2 5.180382+0 1.819701-2 3.512687+0 2.187762-2 2.363294+0 2.600160-2 1.618035+0 3.090295-2 1.099765+0 3.672823-2 7.418796-1 4.365158-2 4.967512-1 5.188000-2 3.301070-1 6.165950-2 2.176665-1 7.413102-2 1.385425-1 8.709636-2 9.268665-2 1.071519-1 5.483916-2 1.380384-1 2.863435-2 2.483133-1 6.236285-3 3.054921-1 3.664564-3 3.589219-1 2.438176-3 4.168694-1 1.682087-3 4.786301-1 1.203222-3 5.432503-1 8.914088-4 6.095369-1 6.831840-4 6.839117-1 5.273158-4 7.673615-1 4.098982-4 8.609938-1 3.209364-4 9.549926-1 2.592490-4 1.083927+0 2.014469-4 1.244515+0 1.540302-4 1.412538+0 1.214040-4 1.584893+0 9.848174-5 1.798871+0 7.886933-5 2.044000+0 6.354100-5 2.344229+0 5.079834-5 2.691535+0 4.085238-5 3.090295+0 3.309613-5 3.589219+0 2.655233-5 4.168694+0 2.145936-5 4.897788+0 1.718981-5 5.821032+0 1.366284-5 7.000000+0 1.077900-5 8.413951+0 8.563477-6 1.023293+1 6.757846-6 1.273503+1 5.223507-6 1.640590+1 3.909408-6 2.162719+1 2.873642-6 2.917427+1 2.075229-6 4.415704+1 1.335823-6 6.606934+1 8.774920-7 1.161449+2 4.917389-7 2.317395+2 2.440027-7 4.623810+2 1.216360-7 3.672823+3 1.524723-8 1.000000+5 5.59670-10 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 6.330000-6 6.330000-6 1.000000+5 6.330000-6 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 6.330000-6 0.0 1.000000+5 1.000000+5 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 4.088250-7 1.026600+0 1.303180-6 1.027100+0 1.773000-6 1.027500+0 2.220660-6 1.028100+0 3.023390-6 1.028750+0 4.088250-6 1.029500+0 5.594880-6 1.030100+0 7.036240-6 1.031000+0 9.627970-6 1.032000+0 1.317350-5 1.033200+0 1.845380-5 1.034000+0 2.265380-5 1.035300+0 3.074930-5 1.036640+0 4.088250-5 1.038200+0 5.517220-5 1.039700+0 7.167980-5 1.041500+0 9.536910-5 1.043800+0 1.323750-4 1.046400+0 1.841760-4 1.048300+0 2.293040-4 1.051200+0 3.110450-4 1.054080+0 4.088250-4 1.057700+0 5.572560-4 1.061100+0 7.248520-4 1.065100+0 9.596280-4 1.070400+0 1.338790-3 1.076200+0 1.850210-3 1.080600+0 2.310610-3 1.087100+0 3.113130-3 1.093710+0 4.088250-3 1.102600+0 5.668080-3 1.110700+0 7.391940-3 1.120600+0 9.887550-3 1.133300+0 1.374690-2 1.147500+0 1.897930-2 1.158200+0 2.358640-2 1.174100+0 3.152630-2 1.190110+0 4.088250-2 1.205100+0 5.090410-2 1.227500+0 6.814630-2 1.250000+0 8.802000-2 1.265600+0 1.031290-1 1.294900+0 1.341150-1 1.331800+0 1.772230-1 1.362600+0 2.159930-1 1.397000+0 2.616610-1 1.433800+0 3.127530-1 1.500000+0 4.098000-1 1.562500+0 5.074660-1 1.617200+0 5.972590-1 1.712900+0 7.620090-1 1.838500+0 9.879150-1 1.946200+0 1.185470+0 2.000000+0 1.284000+0 2.044000+0 1.364000+0 2.163500+0 1.579200+0 2.372600+0 1.947020+0 2.647100+0 2.409670+0 3.000000+0 2.971000+0 3.500000+0 3.708840+0 4.000000+0 4.386000+0 4.750000+0 5.298310+0 5.000000+0 5.579000+0 6.000000+0 6.603000+0 7.000000+0 7.507000+0 8.000000+0 8.320000+0 9.000000+0 9.059000+0 1.000000+1 9.737000+0 1.100000+1 1.036000+1 1.200000+1 1.095000+1 1.300000+1 1.149000+1 1.400000+1 1.200000+1 1.500000+1 1.247000+1 1.600000+1 1.291000+1 1.800000+1 1.371000+1 2.000000+1 1.441000+1 2.200000+1 1.505000+1 2.400000+1 1.564000+1 2.600000+1 1.617000+1 2.800000+1 1.666000+1 3.000000+1 1.711000+1 4.000000+1 1.895000+1 5.000000+1 2.032000+1 6.000000+1 2.138000+1 8.000000+1 2.295000+1 1.000000+2 2.405000+1 1.500000+2 2.579000+1 2.000000+2 2.682000+1 3.000000+2 2.802000+1 4.000000+2 2.871000+1 5.000000+2 2.916000+1 6.000000+2 2.948000+1 8.000000+2 2.991000+1 1.000000+3 3.018000+1 1.500000+3 3.058000+1 2.000000+3 3.080000+1 3.000000+3 3.104000+1 4.000000+3 3.116000+1 5.000000+3 3.124000+1 6.000000+3 3.130000+1 8.000000+3 3.137000+1 1.000000+4 3.141000+1 1.500000+4 3.148000+1 2.000000+4 3.151000+1 3.000000+4 3.155000+1 4.000000+4 3.156000+1 5.000000+4 3.158000+1 6.000000+4 3.158000+1 8.000000+4 3.160000+1 1.000000+5 3.160000+1 1 71000 7 8 1.749700+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 7.112990-7 2.094700+0 1.252260-6 2.099900+0 1.665960-6 2.106600+0 2.317490-6 2.114000+0 3.206540-6 2.119500+0 3.992120-6 2.127900+0 5.414070-6 2.136250+0 7.112990-6 2.147000+0 9.752410-6 2.156900+0 1.266720-5 2.169000+0 1.690520-5 2.184500+0 2.349880-5 2.201800+0 3.251120-5 2.214800+0 4.050650-5 2.234200+0 5.448840-5 2.253680+0 7.112990-5 2.281500+0 9.962990-5 2.307000+0 1.308630-4 2.338200+0 1.759570-4 2.377400+0 2.436790-4 2.410200+0 3.099190-4 2.446800+0 3.942340-4 2.485900+0 4.963630-4 2.532900+0 6.352390-4 2.556430+0 7.112990-4 2.611900+0 9.069910-4 2.660400+0 1.096510-3 2.745300+0 1.467630-3 2.809000+0 1.777390-3 2.904500+0 2.289720-3 3.000000+0 2.858000-3 3.125000+0 3.685050-3 3.234400+0 4.483510-3 3.425800+0 6.036570-3 3.569300+0 7.318870-3 3.784700+0 9.406380-3 4.000000+0 1.165000-2 4.250000+0 1.439270-2 4.625000+0 1.870210-2 5.000000+0 2.318000-2 5.500000+0 2.932120-2 6.000000+0 3.554000-2 6.750000+0 4.478850-2 7.000000+0 4.783000-2 8.000000+0 5.972000-2 9.000000+0 7.108000-2 1.000000+1 8.185000-2 1.100000+1 9.203000-2 1.200000+1 1.016000-1 1.300000+1 1.106000-1 1.400000+1 1.192000-1 1.500000+1 1.273000-1 1.600000+1 1.350000-1 1.800000+1 1.492000-1 2.000000+1 1.621000-1 2.200000+1 1.739000-1 2.400000+1 1.847000-1 2.600000+1 1.947000-1 2.800000+1 2.039000-1 3.000000+1 2.124000-1 4.000000+1 2.477000-1 5.000000+1 2.742000-1 6.000000+1 2.951000-1 8.000000+1 3.263000-1 1.000000+2 3.488000-1 1.500000+2 3.858000-1 2.000000+2 4.087000-1 3.000000+2 4.365000-1 4.000000+2 4.530000-1 5.000000+2 4.643000-1 6.000000+2 4.726000-1 8.000000+2 4.839000-1 1.000000+3 4.914000-1 1.500000+3 5.026000-1 2.000000+3 5.090000-1 3.000000+3 5.159000-1 4.000000+3 5.200000-1 5.000000+3 5.224000-1 6.000000+3 5.242000-1 8.000000+3 5.265000-1 1.000000+4 5.280000-1 1.500000+4 5.300000-1 2.000000+4 5.312000-1 3.000000+4 5.323000-1 4.000000+4 5.330000-1 5.000000+4 5.334000-1 6.000000+4 5.337000-1 8.000000+4 5.340000-1 1.000000+5 5.342000-1 1 71000 7 8 1.749700+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 71000 7 9 1.749700+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 7.100000+1 1.000000+5 7.100000+1 5.000000+5 7.096200+1 7.500000+5 7.093680+1 1.000000+6 7.091900+1 1.500000+6 7.086500+1 1.875000+6 7.079010+1 2.000000+6 7.076100+1 2.375000+6 7.066010+1 2.500000+6 7.063000+1 2.875000+6 7.051500+1 3.000000+6 7.047300+1 3.437500+6 7.031040+1 3.812500+6 7.016080+1 4.000000+6 7.008900+1 4.500000+6 6.987780+1 5.000000+6 6.964500+1 5.500000+6 6.938650+1 5.875000+6 6.917970+1 6.437500+6 6.885570+1 6.500000+6 6.881700+1 7.000000+6 6.852100+1 7.500000+6 6.821300+1 8.250000+6 6.774900+1 9.000000+6 6.728000+1 1.000000+7 6.663500+1 1.250000+7 6.498900+1 1.500000+7 6.330100+1 1.750000+7 6.164600+1 2.000000+7 5.995100+1 2.250000+7 5.822500+1 2.375000+7 5.735460+1 2.500000+7 5.649500+1 2.875000+7 5.392130+1 3.000000+7 5.307900+1 3.250000+7 5.140550+1 3.500000+7 4.977790+1 3.625000+7 4.898410+1 4.000000+7 4.669300+1 4.500000+7 4.385320+1 5.000000+7 4.123900+1 5.500000+7 3.882260+1 5.750000+7 3.767720+1 6.000000+7 3.657500+1 6.500000+7 3.447500+1 7.000000+7 3.251300+1 7.750000+7 2.981400+1 8.000000+7 2.898300+1 9.000000+7 2.597200+1 1.000000+8 2.345400+1 1.187500+8 1.987190+1 1.250000+8 1.895600+1 1.375000+8 1.745640+1 1.437500+8 1.683440+1 1.500000+8 1.627900+1 1.718800+8 1.466350+1 1.750000+8 1.445190+1 1.875000+8 1.361120+1 1.906300+8 1.339970+1 1.968800+8 1.297330+1 2.000000+8 1.275900+1 2.250000+8 1.109040+1 2.500000+8 9.789600+0 2.781300+8 8.744140+0 2.859400+8 8.450520+0 2.875000+8 8.389090+0 2.953100+8 8.070630+0 3.000000+8 7.867300+0 3.062500+8 7.583250+0 3.335900+8 6.424120+0 3.418000+8 6.158210+0 3.500000+8 5.945000+0 3.589800+8 5.771970+0 3.712900+8 5.603140+0 4.000000+8 5.304800+0 4.125000+8 5.152500+0 4.234400+8 5.005700+0 4.425800+8 4.731900+0 4.856400+8 4.183070+0 5.000000+8 4.024300+0 5.625000+8 3.505550+0 5.875000+8 3.314530+0 6.000000+8 3.216100+0 6.250000+8 3.013460+0 6.718800+8 2.671000+0 6.906300+8 2.561280+0 7.000000+8 2.513400+0 7.250000+8 2.407160+0 7.718800+8 2.240140+0 7.906300+8 2.170460+0 8.000000+8 2.133400+0 8.125000+8 2.080860+0 8.359400+8 1.976720+0 8.564500+8 1.883800+0 9.461700+8 1.524270+0 9.730800+8 1.442030+0 1.000000+9 1.373400+0 1.015600+9 1.339920+0 1.045900+9 1.286090+0 1.074300+9 1.246230+0 1.113400+9 1.204070+0 1.125800+9 1.193150+0 1.375000+9 1.077470+0 1.500000+9 1.023000+0 1.560500+9 9.883170-1 1.615500+9 9.533560-1 1.686000+9 9.058300-1 1.764500+9 8.517390-1 1.867500+9 7.822390-1 2.000000+9 6.994100-1 2.139200+9 6.225970-1 2.272600+9 5.580930-1 2.443000+9 4.868520-1 2.602800+9 4.297400-1 2.825100+9 3.631520-1 2.961100+9 3.285910-1 3.215900+9 2.740200-1 3.438900+9 2.351670-1 3.500000+9 2.257130-1 3.719500+9 1.954280-1 3.954200+9 1.684080-1 4.327700+9 1.342800-1 4.663900+9 1.106250-1 5.000000+9 9.193400-2 5.375000+9 7.548580-2 5.703100+9 6.402510-2 6.277300+9 4.878740-2 7.138700+9 3.363520-2 8.000000+9 2.408100-2 1.00000+10 1.246000-2 1.41360+10 4.501640-3 1.85560+10 2.033340-3 2.64460+10 7.273210-4 3.56400+10 3.077840-4 5.17300+10 1.059160-4 7.58650+10 3.565600-5 1.00000+11 1.633300-5 1.34280+11 7.128970-6 2.20600+11 1.779920-6 4.19930+11 2.988580-7 1.03480+12 2.514340-8 3.24440+12 1.128020-9 1.00000+14 1.12290-13 2.05350+15 3.20253-17 1.00000+17 8.28670-22 1 71000 7 0 1.749700+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 9.30000-12 1.000000+2 9.30000-10 1.000000+3 9.300000-8 1.000000+4 9.300000-6 1.000000+5 9.300000-4 5.000000+5 2.325000-2 7.500000+5 5.231250-2 1.000000+6 9.300000-2 1.500000+6 2.074000-1 1.875000+6 3.198230-1 2.000000+6 3.620000-1 2.375000+6 5.018870-1 2.500000+6 5.527000-1 2.875000+6 7.162270-1 3.000000+6 7.742000-1 3.437500+6 9.887040-1 3.812500+6 1.184880+0 4.000000+6 1.286500+0 4.500000+6 1.565820+0 5.000000+6 1.854000+0 5.500000+6 2.146290+0 5.875000+6 2.366160+0 6.437500+6 2.694600+0 6.500000+6 2.730980+0 7.000000+6 3.018600+0 7.500000+6 3.300560+0 8.250000+6 3.713400+0 9.000000+6 4.114500+0 1.000000+7 4.634000+0 1.250000+7 5.900200+0 1.500000+7 7.176000+0 1.750000+7 8.471100+0 2.000000+7 9.762000+0 2.250000+7 1.102520+1 2.375000+7 1.164400+1 2.500000+7 1.225400+1 2.875000+7 1.403050+1 3.000000+7 1.460700+1 3.250000+7 1.573530+1 3.500000+7 1.683320+1 3.625000+7 1.736730+1 4.000000+7 1.891900+1 4.500000+7 2.085300+1 5.000000+7 2.264000+1 5.500000+7 2.429220+1 5.750000+7 2.507670+1 6.000000+7 2.583800+1 6.500000+7 2.729970+1 7.000000+7 2.869900+1 7.750000+7 3.068990+1 8.000000+7 3.133200+1 9.000000+7 3.377800+1 1.000000+8 3.605900+1 1.187500+8 3.995750+1 1.250000+8 4.115900+1 1.375000+8 4.341560+1 1.437500+8 4.446710+1 1.500000+8 4.547100+1 1.718800+8 4.857660+1 1.750000+8 4.897480+1 1.875000+8 5.045820+1 1.906300+8 5.080110+1 1.968800+8 5.146270+1 2.000000+8 5.178200+1 2.250000+8 5.401860+1 2.500000+8 5.584600+1 2.781300+8 5.754090+1 2.859400+8 5.796520+1 2.875000+8 5.804490+1 2.953100+8 5.843910+1 3.000000+8 5.867200+1 3.062500+8 5.896520+1 3.335900+8 6.014860+1 3.418000+8 6.047000+1 3.500000+8 6.078500+1 3.589800+8 6.110700+1 3.712900+8 6.153820+1 4.000000+8 6.245100+1 4.125000+8 6.281200+1 4.234400+8 6.312070+1 4.425800+8 6.362540+1 4.856400+8 6.463010+1 5.000000+8 6.493600+1 5.625000+8 6.606830+1 5.875000+8 6.645220+1 6.000000+8 6.663300+1 6.250000+8 6.696050+1 6.718800+8 6.748510+1 6.906300+8 6.766890+1 7.000000+8 6.775900+1 7.250000+8 6.796750+1 7.718800+8 6.831150+1 7.906300+8 6.843590+1 8.000000+8 6.849700+1 8.125000+8 6.856660+1 8.359400+8 6.869440+1 8.564500+8 6.879880+1 9.461700+8 6.917430+1 9.730800+8 6.926890+1 1.000000+9 6.936100+1 1.015600+9 6.940680+1 1.045900+9 6.949380+1 1.074300+9 6.957320+1 1.113400+9 6.967920+1 1.125800+9 6.970880+1 1.375000+9 7.017770+1 1.500000+9 7.035100+1 1.560500+9 7.041450+1 1.615500+9 7.047020+1 1.686000+9 7.053890+1 1.764500+9 7.060190+1 1.867500+9 7.067120+1 2.000000+9 7.075500+1 2.139200+9 7.081610+1 2.272600+9 7.086060+1 2.443000+9 7.090650+1 2.602800+9 7.094050+1 2.825100+9 7.097200+1 2.961100+9 7.098200+1 3.215900+9 7.099660+1 3.438900+9 7.100540+1 3.500000+9 7.100510+1 3.719500+9 7.100390+1 3.954200+9 7.100270+1 4.327700+9 7.100090+1 4.663900+9 7.099940+1 5.000000+9 7.099800+1 5.375000+9 7.099830+1 5.703100+9 7.099860+1 6.277300+9 7.099900+1 7.138700+9 7.099950+1 8.000000+9 7.100000+1 1.00000+10 7.100000+1 1.41360+10 7.100000+1 1.85560+10 7.100000+1 2.64460+10 7.100000+1 3.56400+10 7.100000+1 5.17300+10 7.100000+1 7.58650+10 7.100000+1 1.00000+11 7.100000+1 1.34280+11 7.100000+1 2.20600+11 7.100000+1 4.19930+11 7.100000+1 1.03480+12 7.100000+1 3.24440+12 7.100000+1 1.00000+14 7.100000+1 2.05350+15 7.100000+1 1.00000+17 7.100000+1 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.680736+0 1.002003-6 2.393435+0 1.006043-6 1.598204+0 1.008695-6 1.080382+0 1.011089-6 6.974569-1 1.013484-6 4.156344-1 1.015878-6 2.286439-1 1.019320-6 6.537788-2 1.020667-6 0.0 1.134798-6 0.0 1.140036-6 1.195735-1 1.140385-6 1.274716-1 1.143178-6 2.328374-1 1.145971-6 3.925958-1 1.149113-6 6.443674-1 1.153958-6 1.124146+0 1.157318-6 1.437371+0 1.160193-6 1.617851+0 1.163123-6 1.672551+0 1.165916-6 1.593994+0 1.168890-6 1.386661+0 1.173602-6 9.259354-1 1.176696-6 6.259301-1 1.179664-6 3.938966-1 1.182282-6 2.408020-1 1.185075-6 1.324671-1 1.189090-6 3.787733-2 1.190662-6 0.0 1.398137-6 0.0 1.403299-6 2.088566-2 1.405019-6 2.775924-2 1.408461-6 5.070452-2 1.411902-6 8.549479-2 1.415343-6 1.330719-1 1.420935-6 2.301620-1 1.425667-6 3.104919-1 1.429539-6 3.528200-1 1.432980-6 3.644395-1 1.436206-6 3.501741-1 1.439863-6 3.064781-1 1.445468-6 2.102859-1 1.449757-6 1.363075-1 1.453198-6 8.799539-2 1.456639-6 5.243895-2 1.460081-6 2.884710-2 1.465243-6 7.333049-3 1.466963-6 0.0 1.841601-6 0.0 1.846134-6 1.230823-7 1.850667-6 2.435460-7 1.855200-6 4.448566-7 1.859733-6 7.500894-7 1.864266-6 1.167508-6 1.877864-6 2.729526-6 1.882397-6 3.100157-6 1.886930-6 3.252360-6 1.891463-6 3.163825-6 1.895996-6 2.864122-6 1.909594-6 1.504221-6 1.914127-6 1.141761-6 1.918660-6 8.710816-7 1.923193-6 6.765209-7 1.927726-6 5.326866-7 1.932259-6 3.573112-7 1.936365-6 2.991756-7 1.945602-6 1.585055-7 1.950220-6 1.023256-7 1.954838-6 6.097876-8 1.959457-6 3.354492-8 1.964075-6 1.703448-8 1.968693-6 0.0 2.266962-6 0.0 2.272541-6 4.095000-7 2.278121-6 8.102876-7 2.283701-6 1.480057-6 2.289281-6 2.495579-6 2.294861-6 3.884348-6 2.311600-6 9.082305-6 2.317180-6 1.027844-5 2.322760-6 1.074659-5 2.328340-6 1.038619-5 2.333920-6 9.286682-6 2.350659-6 4.243090-6 2.356239-6 2.851687-6 2.361819-6 1.811724-6 2.367399-6 1.100593-6 2.375336-6 4.492530-7 2.378558-6 1.742298-7 2.386667-6 1.070542-7 2.392332-6 6.911049-8 2.397997-6 4.118491-8 2.403662-6 2.265615-8 2.409328-6 1.150505-8 2.414993-6 0.0 2.503539-6 0.0 2.509701-6 1.19252-14 2.515863-6 2.35967-14 2.522025-6 4.31013-14 2.528187-6 7.26747-14 2.534349-6 1.13118-13 2.540511-6 1.62529-13 2.546674-6 2.15569-13 2.552836-6 2.63933-13 2.558998-6 2.98302-13 2.565160-6 3.11224-13 2.568773-6 3.04497-13 2.576425-6 1.609375-8 2.589108-6 1.182162-2 2.595449-6 2.159318-2 2.602133-6 3.749959-2 2.608295-6 5.730404-2 2.627157-6 1.322271-1 2.633498-6 1.494455-1 2.639840-6 1.559192-1 2.646182-6 1.501654-1 2.652523-6 1.335041-1 2.671548-6 5.804870-2 2.677889-6 3.747428-2 2.684231-6 2.233203-2 2.690572-6 1.228506-2 2.700061-6 3.145959-3 2.703255-6 7.263850-8 2.712789-6 0.0 2.928899-6 0.0 2.939713-6 4.641674-3 2.943317-6 6.169273-3 2.950526-6 1.126868-2 2.957735-6 1.900054-2 2.964944-6 2.957419-2 2.976400-6 5.065220-2 2.991052-6 4.108354+0 2.998378-6 7.448154+0 3.005704-6 1.250347+1 3.013821-6 2.034692+1 3.035466-6 4.552683+1 3.043006-6 5.123066+1 3.050000-6 5.314255+1 3.057886-6 5.051940+1 3.066946-6 4.258830+1 3.086290-6 1.983541+1 3.094076-6 1.251842+1 3.100978-6 7.680472+0 3.108268-6 4.311018+0 3.122920-6 2.773916-1 3.146549-6 6.604518-1 3.154145-6 7.477126-1 3.161740-6 7.820738-1 3.169335-6 7.565181-1 3.178635-6 6.525835-1 3.199716-6 3.256359-1 3.207312-6 2.316601-1 3.214907-6 1.628585-1 3.222502-6 1.162018-1 3.231888-6 7.747791-2 3.237693-6 4.991286-2 3.239738-6 4.834054-2 3.255686-6 8.242712+0 3.263858-6 1.527539+1 3.272619-6 2.705418+1 3.281129-6 4.271998+1 3.303532-6 9.185885+1 3.312797-6 1.045471+2 3.320056-6 1.080296+2 3.328186-6 1.032604+2 3.336861-6 8.976343+1 3.349414-6 6.221296+1 3.359351-6 4.032650+1 3.367325-6 2.603339+1 3.375299-6 1.551404+1 3.383274-6 8.534398+0 3.396273-6 1.631309+0 3.399222-6 3.286410-2 3.401283-6 3.745700-2 3.409988-6 7.051869-2 3.418320-6 1.183330-1 3.426651-6 1.842050-1 3.451268-6 4.253058-1 3.459978-6 4.844700-1 3.468310-6 5.074904-1 3.476642-6 4.922452-1 3.484973-6 4.425489-1 3.493305-6 3.692689-1 3.510112-6 2.058969-1 3.518524-6 1.501308-1 3.526632-6 1.127832-1 3.528432-6 1.077531-1 3.534964-6 9.670071-2 3.537074-6 9.624692-2 3.545717-6 1.062737-1 3.547288-6 1.108537-1 3.551627-6 1.293231-1 3.556019-6 1.599437-1 3.564750-6 2.290503-1 3.589783-6 4.664554-1 3.599675-6 5.385922-1 3.608406-6 5.786089-1 3.617788-6 5.892322-1 3.627994-6 5.621639-1 3.636773-6 5.118032-1 3.666708-6 2.659208-1 3.675441-6 2.098525-1 3.681824-6 1.764569-1 3.684444-6 1.664257-1 3.689444-6 1.576256-1 3.696956-6 1.557871-1 3.705752-6 1.667172-1 3.731306-6 2.229394-1 3.735913-6 2.295761-1 3.745042-6 2.330811-1 3.781554-6 2.112808-1 3.798293-6 2.143770-1 3.811225-6 2.206632-1 3.822840-6 2.312676-1 3.838489-6 2.566954-1 3.852400-6 2.974181-1 3.888903-6 4.475336-1 3.900624-6 4.746763-1 3.913138-6 4.738903-1 3.927514-6 4.305305-1 3.961440-6 2.830617-1 3.972648-6 2.468286-1 3.990183-6 2.199757-1 3.998871-6 2.121035-1 4.014070-6 2.276836-1 4.025629-6 2.546789-1 4.061040-6 3.677829-1 4.073766-6 3.861624-1 4.081795-6 3.889555-1 4.120605-6 3.450755-1 4.130624-6 3.424088-1 4.160681-6 3.680659-1 4.194940-6 3.819190-1 4.221849-6 3.805062-1 4.399308-6 4.060960-1 4.770500-6 4.694184-1 4.793984-6 6.052641-1 4.805726-6 7.163819-1 4.817468-6 8.839398-1 4.830096-6 1.133666+0 4.843763-6 1.470877+0 4.871074-6 2.750179+0 4.885417-6 3.544939+0 4.899280-6 4.478738+0 4.939122-6 7.367519+0 4.952821-6 7.942869+0 4.963345-6 7.988529+0 4.976664-6 7.446985+0 4.988182-6 6.566712+0 5.022207-6 3.171180+0 5.034128-6 2.228330+0 5.046050-6 1.534872+0 5.057971-6 1.075336+0 5.081814-6 5.147709-1 5.383922-6 5.560902-1 5.414606-6 5.982840-1 5.436929-6 7.841718-1 5.442056-6 8.368969-1 5.454588-6 1.009872+0 5.470687-6 1.337998+0 5.499502-6 2.108870+0 5.510850-6 2.426600+0 5.524025-6 2.716950+0 5.535361-6 2.874550+0 5.550548-6 2.877209+0 5.566844-6 2.648817+0 5.580814-6 2.316178+0 5.609428-6 1.514075+0 5.622458-6 1.213946+0 5.628666-6 1.083460+0 5.641172-6 8.869174-1 5.654499-6 7.495993-1 5.681154-6 5.997753-1 5.690590-6 6.192804-1 5.712526-6 6.878537-1 5.726518-6 7.596414-1 5.740509-6 8.648534-1 5.761497-6 1.088885+0 5.796476-6 1.495437+0 5.810468-6 1.597567+0 5.824460-6 1.627822+0 5.842222-6 1.562489+0 5.865518-6 1.370701+0 5.888032-6 1.173793+0 5.894419-6 1.128077+0 5.908411-6 1.074012+0 5.926549-6 1.079552+0 5.980019-6 1.235277+0 6.004069-6 1.244259+0 6.057586-6 1.192506+0 6.190957-6 1.172857+0 6.302708-6 1.134886+0 6.386006-6 1.145482+0 7.139378-6 1.085309+0 8.081649-6 1.067785+0 1.045642-5 1.130733+0 1.289803-5 1.215346+0 1.296153-5 2.465971+0 1.299450-5 3.559509+0 1.302520-5 5.077348+0 1.306073-5 7.532988+0 1.315201-5 1.519134+1 1.318889-5 1.712174+1 1.321779-5 1.765197+1 1.325016-5 1.692738+1 1.328470-5 1.487553+1 1.337423-5 7.359200+0 1.340598-5 5.186237+0 1.343773-5 3.587114+0 1.346947-5 2.526269+0 1.353297-5 1.229587+0 1.409874-5 1.244840+0 1.416996-5 2.225148+0 1.420466-5 3.024127+0 1.423936-5 4.224439+0 1.427456-5 5.881373+0 1.437918-5 1.183652+1 1.441613-5 1.315525+1 1.444963-5 1.351881+1 1.448846-5 1.280852+1 1.452666-5 1.116325+1 1.461891-5 5.938744+0 1.465361-5 4.377705+0 1.468831-5 3.273278+0 1.472301-5 2.596584+0 1.479241-5 1.888577+0 1.484545-5 2.042914+0 1.488120-5 2.077576+0 1.491695-5 2.047212+0 1.498844-5 1.831752+0 1.505994-5 1.558227+0 1.513144-5 1.368743+0 1.516719-5 1.315567+0 1.525467-5 1.250872+0 1.548349-5 1.251759+0 1.559783-5 1.338067+0 1.567405-5 1.478179+0 1.581103-5 1.820968+0 1.586460-5 1.874712+0 1.592680-5 1.807692+0 1.605515-5 1.483094+0 1.613259-5 1.357335+0 1.621162-5 1.330925+0 1.625694-5 1.347552+0 1.641654-5 1.503896+0 1.654311-5 1.509961+0 1.673840-5 1.469726+0 1.717127-5 1.446057+0 1.726518-5 1.500295+0 1.747972-5 1.817806+0 1.756188-5 1.822928+0 1.776638-5 1.562756+0 1.787335-5 1.524970+0 1.798784-5 1.569216+0 1.815996-5 1.628627+0 1.901195-5 1.554072+0 2.000920-5 1.547076+0 2.646901-5 1.342881+0 2.906442-5 1.305277+0 2.920749-5 3.112940+0 2.927903-5 4.607463+0 2.935057-5 6.873744+0 2.942211-5 9.973152+0 2.948984-5 1.355829+1 2.963672-5 3.749424+1 2.970826-5 5.294583+1 2.978926-5 7.661008+1 2.986185-5 1.031234+2 3.004756-5 1.800326+2 3.010909-5 1.989775+2 3.015486-5 2.087701+2 3.022175-5 2.125237+2 3.029495-5 2.013011+2 3.037021-5 1.755896+2 3.057094-5 8.169822+1 3.065121-5 5.093791+1 3.072380-5 3.088089+1 3.079638-5 1.757301+1 3.093429-5 2.130202+0 3.094156-5 1.301012+0 3.136616-5 1.303282+0 3.152057-5 1.517802+0 3.159777-5 1.694860+0 3.167498-5 1.963213+0 3.175218-5 2.330062+0 3.199332-5 3.736251+0 3.211306-5 4.220127+0 3.215082-5 4.403917+0 3.231215-5 4.715972+0 3.239110-5 5.025260+0 3.248979-5 5.817857+0 3.256813-5 6.727586+0 3.270205-5 8.603678+0 3.279892-5 9.710618+0 3.287638-5 1.016711+1 3.298227-5 1.010206+1 3.316767-5 9.025613+0 3.326214-5 8.398849+0 3.341031-5 8.046511+0 3.377022-5 7.929987+0 3.613247-5 6.736630+0 3.623785-5 6.691554+0 3.641624-5 1.534659+1 3.651101-5 2.320544+1 3.660021-5 3.435859+1 3.669382-5 5.045134+1 3.695420-5 1.044141+2 3.705315-5 1.173646+2 3.714001-5 1.209571+2 3.722718-5 1.160381+2 3.732256-5 1.018641+2 3.757577-5 4.904475+1 3.766497-5 3.382970+1 3.775416-5 2.262481+1 3.784336-5 1.518101+1 3.802175-5 6.056866+0 3.874210-5 5.931282+0 3.902558-5 6.134767+0 3.923205-5 6.418812+0 3.963517-5 7.331180+0 3.995835-5 8.611830+0 4.013662-5 9.304558+0 4.032361-5 9.526555+0 4.093463-5 8.796241+0 4.171734-5 8.700584+0 4.267675-5 8.188390+0 4.704032-5 7.075017+0 5.110039-5 6.467686+0 5.650000-5 6.108183+0 6.225300-5 6.158259+0 6.333643-5 6.312009+0 6.486559-5 6.289885+0 7.318078-5 6.969330+0 9.120108-5 9.274944+0 1.259884-4 1.375747+1 1.536000-4 1.655104+1 1.932561-4 1.919780+1 1.968232-4 2.024705+1 2.030100-4 2.063607+1 2.071746-4 2.170927+1 2.270000-4 2.245967+1 2.884032-4 2.124966+1 3.450511-4 2.103387+1 3.523648-4 2.263136+1 3.600891-4 2.208764+1 4.020835-4 2.177302+1 4.252808-4 2.173812+1 4.906601-4 2.090755+1 5.011872-4 2.113578+1 8.252062-4 1.553919+1 1.080068-3 1.229055+1 1.358181-3 9.790977+0 1.558421-3 8.477331+0 1.569945-3 8.688149+0 1.576799-3 9.304008+0 1.581983-3 1.027155+1 1.587670-3 1.197851+1 1.596386-3 1.570581+1 1.605609-3 1.982607+1 1.613129-3 2.223959+1 1.624009-3 2.397102+1 1.640199-3 2.575693+1 1.667184-3 3.080570+1 1.685491-3 3.189418+1 1.798871-3 3.296956+1 1.926867-3 3.038414+1 1.975786-3 2.951845+1 1.997653-3 3.078818+1 2.018065-3 3.266317+1 2.043926-3 3.235231+1 2.215424-3 2.896489+1 2.274444-3 2.962732+1 2.450591-3 2.702400+1 2.514718-3 2.694917+1 2.918321-3 2.208813+1 3.388442-3 1.794124+1 3.954546-3 1.433981+1 4.518559-3 1.177740+1 5.040806-3 9.982566+0 5.717254-3 8.234310+0 6.518688-3 6.715238+0 7.330695-3 5.583296+0 8.342362-3 4.544868+0 9.021042-3 4.023361+0 9.084711-3 4.186751+0 9.121708-3 4.532668+0 9.155919-3 5.131709+0 9.192416-3 6.094675+0 9.265294-3 8.354399+0 9.315914-3 9.415625+0 9.359095-3 9.830027+0 9.465132-3 9.890054+0 1.016313-2 8.870925+0 1.025652-2 9.123900+0 1.035088-2 1.015535+1 1.042783-2 1.104491+1 1.051923-2 1.140113+1 1.074577-2 1.135816+1 1.095458-2 1.226955+1 1.160991-2 1.138882+1 1.320928-2 9.301627+0 1.519426-2 7.425546+0 1.726156-2 6.031902+0 1.967638-2 4.854496+0 2.222670-2 3.957803+0 2.488320-2 3.267348+0 2.771251-2 2.717256+0 3.135295-2 2.195175+0 3.510044-2 1.803569+0 3.944903-2 1.469464+0 4.439347-2 1.193224+0 4.989334-2 9.699272-1 5.576226-2 7.951355-1 6.185633-2 6.636481-1 6.220284-2 6.791049-1 6.241943-2 7.211033-1 6.260812-2 8.010656-1 6.278357-2 9.299628-1 6.293074-2 1.087941+0 6.311320-2 1.349269+0 6.379146-2 2.564724+0 6.410647-2 2.935125+0 6.445959-2 3.120404+0 6.516330-2 3.147554+0 7.649492-2 2.437108+0 8.653076-2 1.994566+0 9.801965-2 1.617619+0 1.111339-1 1.308279+0 1.255213-1 1.061719+0 1.388389-1 8.922172-1 1.558170-1 7.312229-1 1.725498-1 6.130436-1 1.934335-1 5.031599-1 2.177801-1 4.101895-1 2.426610-1 3.411273-1 2.737045-1 2.783425-1 3.058854-1 2.316658-1 3.443747-1 1.913645-1 3.892801-1 1.578078-1 4.412627-1 1.304997-1 5.013096-1 1.083723-1 5.648452-1 9.182393-2 6.550131-1 7.558642-2 7.466636-1 6.430225-2 8.635648-1 5.436492-2 1.008777+0 4.613602-2 1.173413+0 3.904230-2 1.347258+0 3.347015-2 1.546860+0 2.869326-2 1.776032+0 2.459813-2 2.039158+0 2.108747-2 2.341267+0 1.807784-2 2.688134+0 1.549776-2 3.086391+0 1.328591-2 3.558924+0 1.133761-2 4.068655+0 9.764177-3 4.671441+0 8.370625-3 5.363532+0 7.175962-3 6.158159+0 6.151803-3 7.070513+0 5.273812-3 8.118035+0 4.521129-3 9.320751+0 3.875869-3 9.760024+0 3.681939-3 1.000000+1 7.590990-3 1 71000 7 0 1.749700+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-7.047605+1 1.013484-6-6.981715+1 1.078365-6-7.084623+1 1.160024-6-7.046902+1 2.193201-6-6.916681+1 2.703255-6-6.555986+1 2.871281-6-6.093076+1 2.936108-6-5.605540+1 2.964944-6-5.119190+1 2.976400-6-4.717139+1 3.008222-6-3.348017+1 3.015305-6-3.207625+1 3.021858-6-3.316141+1 3.028022-6-3.620884+1 3.033534-6-4.063904+1 3.042334-6-5.190155+1 3.050000-6-6.385215+1 3.057227-6-6.735069+1 3.067610-6-5.488858+1 3.075810-6-4.971038+1 3.083071-6-4.807153+1 3.093616-6-5.043955+1 3.132546-6-6.847770+1 3.143795-6-7.085842+1 3.203514-6-5.813039+1 3.224401-6-5.104806+1 3.236689-6-4.434266+1 3.243552-6-3.810266+1 3.254873-6-2.983506+1 3.265342-6-2.048098+1 3.273564-6-1.448212+1 3.275217-6-1.365694+1 3.281129-6-1.151872+1 3.282915-6-1.141624+1 3.285845-6-1.204219+1 3.289135-6-1.368503+1 3.291884-6-1.578353+1 3.294534-6-1.848883+1 3.298967-6-2.457097+1 3.302248-6-3.030441+1 3.310323-6-4.923603+1 3.318012-6-7.123065+1 3.320056-6-6.429784+1 3.329884-6-3.606440+1 3.336861-6-1.971826+1 3.339723-6-1.451330+1 3.343403-6-8.948059+0 3.344399-6-7.579769+0 3.346144-6-5.594895+0 3.347452-6-4.342039+0 3.349414-6-2.809425+0 3.350396-6-2.204779+0 3.351377-6-1.749159+0 3.353370-6-1.013744+0 3.354866-6-6.012031-1 3.357108-6-3.371104-1 3.358230-6-4.125472-1 3.359351-6-7.596589-1 3.363338-6-2.062318+0 3.365332-6-2.906025+0 3.366328-6-3.474278+0 3.368322-6-5.138675+0 3.373555-6-8.706351+0 3.375299-6-1.031891+1 3.386729-6-1.996678+1 3.397748-6-2.783509+1 3.401283-6-3.141381+1 3.409988-6-3.663866+1 3.426651-6-4.273682+1 3.451268-6-4.805381+1 3.493305-6-5.292758+1 3.580396-6-5.867075+1 3.822840-6-6.376000+1 4.517855-6-6.767183+1 4.813065-6-7.026459+1 4.913262-6-7.126450+1 4.963345-6-6.678049+1 5.004441-6-6.320346+1 5.083006-6-6.527547+1 5.495719-6-6.907724+1 5.616251-6-6.666560+1 5.810468-6-6.809167+1 1.216236-5-7.073854+1 1.277960-5-6.849215+1 1.296153-5-6.449343+1 1.307289-5-6.187193+1 1.314196-5-6.431130+1 1.321258-5-7.052599+1 1.329609-5-6.228148+1 1.336531-5-6.017189+1 1.364096-5-6.693703+1 1.407470-5-7.041579+1 1.429737-5-6.626144+1 1.438312-5-6.895049+1 1.441796-5-7.041852+1 1.454101-5-6.236839+1 1.461891-5-6.122657+1 1.488120-5-6.552900+1 1.586460-5-6.824217+1 2.071334-5-7.058804+1 2.512244-5-6.561810+1 2.692586-5-6.008560+1 2.786806-5-5.375572+1 2.835370-5-4.781786+1 2.869988-5-4.093286+1 2.892705-5-3.387049+1 2.904510-5-2.852061+1 2.918961-5-1.965575+1 2.927903-5-1.272609+1 2.933269-5-7.983881+0 2.938634-5-2.608999+0 2.940422-5-7.130164-1 2.942211-5 1.352960+0 2.945598-5 5.646924+0 2.947291-5 8.128441+0 2.948561-5 1.039168+1 2.949455-5 1.255149+1 2.950338-5 1.415488+1 2.951883-5 1.647919+1 2.956518-5 2.197827+1 2.962778-5 2.871809+1 2.971725-5 3.937399+1 2.978926-5 4.525480+1 2.986185-5 4.635572+1 2.989374-5 4.425026+1 2.991817-5 4.128559+1 2.995307-5 3.521875+1 2.998953-5 2.634400+1 3.001609-5 1.785150+1 3.002970-5 1.321777+1 3.003991-5 9.503252+0 3.004756-5 6.547756+0 3.005905-5 1.757432+0 3.006479-5-8.689591-1 3.006766-5-2.280996+0 3.007507-5-6.314789+0 3.011760-5-2.696543+1 3.013773-5-3.808561+1 3.015486-5-4.927249+1 3.019577-5-7.248163+1 3.021627-5-5.902902+1 3.022175-5-5.512611+1 3.028829-5-1.610594+1 3.029055-5-1.446675+1 3.029495-5-1.173315+1 3.030319-5-7.095649+0 3.031040-5-3.319185+0 3.037021-5 2.538401+1 3.039186-5 3.365975+1 3.042281-5 4.299655+1 3.046260-5 5.195286+1 3.050873-5 5.853637+1 3.055344-5 6.079473+1 3.063115-5 5.537708+1 3.071586-5 4.188545+1 3.081725-5 2.283329+1 3.091248-5 8.368103+0 3.092702-5 5.846438+0 3.093429-5 4.414907+0 3.093792-5 3.611040+0 3.094627-5 1.397434+0 3.095510-5-3.779521-1 3.097056-5-2.971661+0 3.098215-5-4.681287+0 3.099954-5-6.996544+0 3.101693-5-9.088168+0 3.103551-5-1.113183+1 3.106339-5-1.390477+1 3.112843-5-1.937695+1 3.120276-5-2.445096+1 3.132475-5-3.105405+1 3.152057-5-3.908175+1 3.180173-5-4.731063+1 3.215082-5-5.338307+1 3.262672-5-5.993749+1 3.295959-5-5.905706+1 3.326214-5-5.930024+1 3.506167-5-7.013922+1 3.543734-5-7.390071+1 3.590605-5-6.429338+1 3.613247-5-5.607361+1 3.623042-5-4.986090+1 3.627389-5-4.587974+1 3.641624-5-3.583590+1 3.652146-5-2.702737+1 3.661066-5-2.066994+1 3.669382-5-1.725087+1 3.672076-5-1.707105+1 3.674959-5-1.764247+1 3.679079-5-1.955513+1 3.683383-5-2.290450+1 3.689086-5-2.954384+1 3.692587-5-3.490918+1 3.695420-5-4.077160+1 3.703035-5-5.793513+1 3.707086-5-6.937081+1 3.708559-5-7.152000+1 3.713188-5-5.812152+1 3.721899-5-3.395859+1 3.724617-5-2.655514+1 3.731308-5-1.122674+1 3.732256-5-9.211587+0 3.734033-5-5.942700+0 3.735587-5-3.434376+0 3.736948-5-1.450743+0 3.739328-5 1.616334+0 3.741114-5 3.614720+0 3.743792-5 6.170564+0 3.746471-5 8.228817+0 3.749247-5 9.845988+0 3.751330-5 1.070344+1 3.752892-5 1.113613+1 3.755235-5 1.140243+1 3.756406-5 1.131982+1 3.762037-5 9.556499+0 3.764267-5 8.665737+0 3.765382-5 8.065234+0 3.767612-5 6.303578+0 3.771514-5 3.855142+0 3.773465-5 2.530725+0 3.774441-5 1.772645+0 3.775416-5 8.230451-1 3.784336-5-6.345642+0 3.785451-5-7.373230+0 3.787402-5-8.837268+0 3.799945-5-1.723921+1 3.802175-5-1.936060+1 3.805518-5-2.226390+1 3.813162-5-2.656790+1 3.824732-5-3.111681+1 3.845918-5-3.673350+1 3.882418-5-4.289852+1 3.939613-5-4.869369+1 4.002993-5-5.187973+1 4.093463-5-5.230395+1 4.587992-5-5.582651+1 6.592530-5-6.002232+1 9.600000-5-6.149634+1 1.536000-4-5.812022+1 1.932561-4-5.574030+1 2.084787-4-5.372610+1 2.481746-4-4.800757+1 3.244394-4-4.371013+1 3.464494-4-4.392857+1 3.523648-4-4.298016+1 3.600891-4-4.195768+1 4.738327-4-3.627763+1 6.112938-4-3.159928+1 7.658812-4-2.887543+1 9.500774-4-2.770120+1 1.139102-3-2.813701+1 1.314468-3-3.017875+1 1.430460-3-3.313637+1 1.504873-3-3.676177+1 1.543087-3-4.014353+1 1.567196-3-4.416874+1 1.594657-3-5.171443+1 1.605609-3-5.154687+1 1.630765-3-4.751098+1 1.657288-3-4.579326+1 1.695004-3-3.931953+1 1.746260-3-3.445034+1 1.841459-3-2.763386+1 1.906714-3-2.483745+1 1.964107-3-2.382681+1 2.012870-3-2.471597+1 2.030670-3-2.383009+1 2.064573-3-2.126640+1 2.119292-3-1.911041+1 2.198850-3-1.735757+1 2.262659-3-1.692242+1 2.329008-3-1.483482+1 2.413401-3-1.343691+1 2.476868-3-1.297190+1 2.536064-3-1.157022+1 2.647183-3-9.935432+0 2.792116-3-8.473761+0 2.985383-3-7.095624+0 3.215400-3-5.990239+0 3.452720-3-5.210132+0 3.760402-3-4.571283+0 4.091523-3-4.198906+0 4.518559-3-3.986827+0 5.040806-3-3.989154+0 5.717254-3-4.236413+0 6.518688-3-4.766413+0 7.330695-3-5.549392+0 7.997464-3-6.495801+0 8.476831-3-7.548997+0 8.778848-3-8.622150+0 8.960616-3-9.705516+0 9.066159-3-1.084262+1 9.203971-3-1.326626+1 9.249277-3-1.349047+1 9.309488-3-1.283983+1 9.434260-3-1.065086+1 9.541216-3-9.628413+0 9.716280-3-8.796932+0 9.937188-3-8.386281+0 1.012059-2-8.518901+0 1.025652-2-9.204948+0 1.035088-2-9.712918+0 1.042783-2-9.460679+0 1.059254-2-8.123867+0 1.070772-2-7.801119+0 1.085070-2-7.596929+0 1.109204-2-5.983755+0 1.129651-2-5.110203+0 1.160991-2-4.212981+0 1.203982-2-3.342645+0 1.244980-2-2.739188+0 1.288860-2-2.243506+0 1.320928-2-1.950284+0 1.370194-2-1.587239+0 1.422896-2-1.281348+0 1.483505-2-1.017374+0 1.537712-2-8.360509-1 1.606306-2-6.633345-1 1.669468-2-5.459609-1 1.747833-2-4.380661-1 1.798871-2-3.850915-1 1.862087-2-3.384361-1 1.938053-2-3.041537-1 2.033342-2-2.810232-1 2.083291-2-2.765586-1 2.222670-2-2.850375-1 2.357763-2-3.145306-1 2.581865-2-3.881223-1 3.135295-2-6.212685-1 4.618825-2-1.292076+0 5.173404-2-1.600171+0 5.576226-2-1.912292+0 5.840495-2-2.221966+0 6.013110-2-2.537398+0 6.135287-2-2.903475+0 6.211239-2-3.313787+0 6.270683-2-3.894061+0 6.317275-2-4.359371+0 6.348894-2-4.432762+0 6.386581-2-4.176961+0 6.461996-2-3.306671+0 6.516330-2-2.890995+0 6.588679-2-2.538786+0 6.705362-2-2.165052+0 6.883633-2-1.796107+0 7.079874-2-1.514449+0 7.320312-2-1.268106+0 7.649492-2-1.037638+0 8.048023-2-8.469276-1 8.520724-2-6.929742-1 8.940418-2-5.944837-1 9.376212-2-5.236018-1 1.002112-1-4.547733-1 1.079645-1-4.061519-1 1.164990-1-3.781603-1 1.289452-1-3.661432-1 1.501125-1-3.802518-1 2.426610-1-5.010896-1 3.295244-1-5.729528-1 4.601461-1-6.286571-1 7.165760-1-6.711697-1 1.477239+0-6.952230-1 4.461192+0-7.030637-1 1.000000+1-7.037592-1 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.318748-2 1.122441-6 5.636639-2 1.186812-6 7.349274-2 1.244678-6 9.258529-2 1.270928-6 1.027636-1 1.320146-6 1.246368-1 1.363213-6 1.472567-1 1.400896-6 1.703449-1 1.462719-6 2.159937-1 1.487964-6 2.383136-1 1.536000-6 2.873801-1 1.565275-6 3.221088-1 1.590126-6 3.558037-1 1.627401-6 4.140008-1 1.646038-6 4.471258-1 1.678069-6 5.125101-1 1.706770-6 5.821902-1 1.731370-6 6.525307-1 1.747771-6 7.062879-1 1.762348-6 7.595721-1 1.776013-6 8.150056-1 1.788825-6 8.726855-1 1.800836-6 9.327060-1 1.812096-6 9.951551-1 1.822653-6 1.060140+0 1.832550-6 1.127789+0 1.841828-6 1.198254+0 1.850526-6 1.271701+0 1.858681-6 1.348252+0 1.866326-6 1.427960+0 1.880660-6 1.603039+0 1.893202-6 1.792519+0 1.904177-6 1.997736+0 1.913780-6 2.220210+0 1.922183-6 2.461820+0 1.929535-6 2.725230+0 1.935968-6 3.014031+0 1.941597-6 3.332053+0 1.946522-6 3.681891+0 1.950832-6 4.063423+0 1.954603-6 4.473135+0 1.957903-6 4.904470+0 1.960790-6 5.348906+0 1.963316-6 5.797233+0 1.965527-6 6.240661+0 1.967461-6 6.671570+0 1.970846-6 7.531085+0 1.975288-6 8.882451+0 1.984162-6 1.240064+1 1.988314-6 1.440532+1 1.990752-6 1.566918+1 1.995628-6 1.832635+1 1.996238-6 1.866530+1 2.000504-6 2.103066+1 2.002180-6 2.193815+1 2.005380-6 2.359357+1 2.007056-6 2.440341+1 2.008656-6 2.512891+1 2.010256-6 2.580019+1 2.012389-6 2.659810+1 2.014446-6 2.724838+1 2.016351-6 2.773456+1 2.017951-6 2.804998+1 2.020008-6 2.832331+1 2.022751-6 2.844559+1 2.025036-6 2.833027+1 2.025885-6 2.823691+1 2.028307-6 2.782194+1 2.030549-6 2.724707+1 2.032436-6 2.662878+1 2.034768-6 2.570719+1 2.036451-6 2.494393+1 2.039960-6 2.312698+1 2.041845-6 2.204719+1 2.043434-6 2.109386+1 2.045531-6 1.979071+1 2.047164-6 1.875054+1 2.049264-6 1.739641+1 2.051397-6 1.601832+1 2.053626-6 1.459468+1 2.056578-6 1.276328+1 2.058711-6 1.149665+1 2.059321-6 1.114532+1 2.062178-6 9.569661+0 2.063892-6 8.685541+0 2.068768-6 6.446167+0 2.070644-6 5.696931+0 2.072144-6 5.142906+0 2.073644-6 4.628246+0 2.075777-6 3.962319+0 2.078134-6 3.312933+0 2.080430-6 2.762444+0 2.082748-6 2.282384+0 2.084465-6 1.972077+0 2.086725-6 1.617284+0 2.088950-6 1.321814+0 2.091141-6 1.077291+0 2.093297-6 8.761968-1 2.096468-6 6.416633-1 2.101834-6 3.762230-1 2.103941-6 3.068922-1 2.105409-6 2.678232-1 2.106380-6 2.456670-1 2.107343-6 2.263306-1 2.108299-6 2.095536-1 2.109247-6 1.950990-1 2.110188-6 1.827513-1 2.111121-6 1.723145-1 2.112974-6 1.564288-1 2.114797-6 1.463010-1 2.116592-6 1.409097-1 2.118359-6 1.394200-1 2.120099-6 1.411500-1 2.121811-6 1.455438-1 2.125182-6 1.607389-1 2.128447-6 1.822145-1 2.131611-6 2.080957-1 2.134675-6 2.370981-1 2.140613-6 3.022056-1 2.185146-6 1.077261+0 2.190713-6 1.241023+0 2.195584-6 1.413956+0 2.199846-6 1.595038+0 2.203575-6 1.781905+0 2.206838-6 1.971407+0 2.209693-6 2.160143+0 2.212191-6 2.344902+0 2.216563-6 2.717364+0 2.230365-6 4.369429+0 2.235167-6 5.118790+0 2.237911-6 5.581462+0 2.240655-6 6.064062+0 2.246143-6 7.065403+0 2.246830-6 7.191759+0 2.251632-6 8.063568+0 2.253518-6 8.392735+0 2.257120-6 8.983423+0 2.259006-6 9.266555+0 2.260807-6 9.515861+0 2.262608-6 9.741782+0 2.265009-6 1.000193+1 2.267324-6 1.020329+1 2.269468-6 1.034231+1 2.271269-6 1.042155+1 2.273584-6 1.047075+1 2.276671-6 1.044114+1 2.279243-6 1.033240+1 2.279908-6 1.029198+1 2.282816-6 1.005709+1 2.285142-6 9.803789+0 2.287407-6 9.505214+0 2.289989-6 9.108129+0 2.292327-6 8.702895+0 2.294615-6 8.270832+0 2.296999-6 7.790243+0 2.299291-6 7.306558+0 2.301367-6 6.855734+0 2.303558-6 6.373045+0 2.305681-6 5.903690+0 2.307884-6 5.420664+0 2.310264-6 4.909233+0 2.312000-6 4.546058+0 2.314744-6 3.994686+0 2.317231-6 3.523549+0 2.319118-6 3.186675+0 2.321047-6 2.861906+0 2.323320-6 2.506260+0 2.325088-6 2.250110+0 2.327620-6 1.915129+0 2.329591-6 1.680134+0 2.330682-6 1.559641+0 2.332317-6 1.391307+0 2.333953-6 1.237451+0 2.336354-6 1.036661+0 2.339441-6 8.194606-1 2.344426-6 5.546993-1 2.347554-6 4.348582-1 2.349870-6 3.654492-1 2.351399-6 3.275727-1 2.352917-6 2.956199-1 2.354425-6 2.689225-1 2.355922-6 2.469762-1 2.357407-6 2.292585-1 2.358880-6 2.152949-1 2.360342-6 2.046565-1 2.361793-6 1.969568-1 2.363232-6 1.918493-1 2.366088-6 1.882065-1 2.368899-6 1.916850-1 2.371666-6 2.006260-1 2.374390-6 2.137411-1 2.377072-6 2.300375-1 2.379711-6 2.487556-1 2.384908-6 2.916366-1 2.389942-6 3.388997-1 2.394819-6 3.886360-1 2.546003-6 2.435719+0 2.552270-6 2.567963+0 2.558537-6 2.699267+0 2.564803-6 2.820070+0 2.571070-6 2.918859+0 2.574203-6 2.956283+0 2.577337-6 2.983907+0 2.580470-6 3.000595+0 2.583603-6 3.005480+0 2.586737-6 2.998021+0 2.589870-6 2.978055+0 2.593003-6 2.945823+0 2.596137-6 2.901989+0 2.600837-6 2.816937+0 2.602403-6 2.784187+0 2.608670-6 2.637480+0 2.622770-6 2.291555+0 2.627470-6 2.197736+0 2.631387-6 2.135202+0 2.633737-6 2.105551+0 2.636870-6 2.075887+0 2.640003-6 2.057890+0 2.644703-6 2.052896+0 2.646270-6 2.056970+0 2.652537-6 2.100007+0 2.658803-6 2.180596+0 2.661937-6 2.232391+0 2.668203-6 2.353467+0 2.685182-6 2.744125+0 2.692787-6 2.927151+0 2.707520-6 3.274534+0 2.735145-6 3.905244+0 2.783488-6 5.068331+0 2.867334-6 7.672333+0 2.897926-6 8.920111+0 2.935726-6 1.076351+1 2.964559-6 1.246707+1 2.993392-6 1.450715+1 3.022225-6 1.697340+1 3.043849-6 1.917849+1 3.065474-6 2.176865+1 3.088793-6 2.510259+1 3.103896-6 2.763331+1 3.118056-6 3.033139+1 3.131331-6 3.320343+1 3.143777-6 3.625593+1 3.155444-6 3.949527+1 3.166382-6 4.292780+1 3.176637-6 4.656006+1 3.186250-6 5.039885+1 3.195263-6 5.445134+1 3.203713-6 5.872501+1 3.211634-6 6.322779+1 3.219060-6 6.796844+1 3.226023-6 7.295721+1 3.232550-6 7.820658+1 3.238669-6 8.373188+1 3.250142-6 9.612174+1 3.260181-6 1.099610+2 3.268965-6 1.254186+2 3.276652-6 1.425660+2 3.283377-6 1.613186+2 3.289262-6 1.814270+2 3.294411-6 2.025134+2 3.298916-6 2.241314+2 3.302859-6 2.458257+2 3.309327-6 2.878412+2 3.316590-6 3.459034+2 3.331928-6 5.124092+2 3.338653-6 6.051295+2 3.342751-6 6.671501+2 3.346850-6 7.328416+2 3.355048-6 8.726275+2 3.356072-6 8.906327+2 3.363245-6 1.017531+3 3.366063-6 1.066876+3 3.371443-6 1.158086+3 3.374260-6 1.203411+3 3.376950-6 1.244534+3 3.379640-6 1.283145+3 3.383226-6 1.330027+3 3.386685-6 1.369479+3 3.389887-6 1.400313+3 3.392577-6 1.421582+3 3.396547-6 1.444666+3 3.401351-6 1.458517+3 3.404985-6 1.458345+3 3.409987-6 1.442929+3 3.413583-6 1.421163+3 3.416739-6 1.394995+3 3.420692-6 1.353455+3 3.423408-6 1.319674+3 3.429081-6 1.237039+3 3.432747-6 1.176299+3 3.435419-6 1.129121+3 3.438944-6 1.063933+3 3.441690-6 1.011391+3 3.445220-6 9.423839+2 3.448806-6 8.715100+2 3.452553-6 7.976533+2 3.457516-6 7.017314+2 3.461103-6 6.348034+2 3.465970-6 5.484125+2 3.469812-6 4.845468+2 3.478010-6 3.630856+2 3.481164-6 3.220789+2 3.483686-6 2.916336+2 3.486207-6 2.632577+2 3.489794-6 2.264102+2 3.493756-6 1.903459+2 3.496755-6 1.661575+2 3.500611-6 1.387704+2 3.505076-6 1.119183+2 3.512869-6 7.613566+1 3.517504-6 6.064164+1 3.520393-6 5.287702+1 3.522876-6 4.725293+1 3.525022-6 4.311877+1 3.526684-6 4.035164+1 3.527917-6 3.853125+1 3.528992-6 3.709919+1 3.529932-6 3.596098+1 3.531578-6 3.421792+1 3.534047-6 3.216884+1 3.536516-6 3.075787+1 3.538665-6 3.001723+1 3.541890-6 2.970518+1 3.545115-6 3.029450+1 3.553713-6 3.594446+1 3.562312-6 4.732440+1 3.570911-6 6.490011+1 3.579510-6 9.008150+1 3.596708-6 1.746791+2 3.612895-6 3.256853+2 3.622504-6 4.688465+2 3.628953-6 5.956566+2 3.633253-6 6.964799+2 3.639702-6 8.753425+2 3.645776-6 1.077217+3 3.649368-6 1.213042+3 3.651883-6 1.315647+3 3.659428-6 1.661448+3 3.664060-6 1.901848+3 3.673698-6 2.465742+3 3.674820-6 2.536397+3 3.683300-6 3.096582+3 3.686532-6 3.319035+3 3.693511-6 3.805744+3 3.697924-6 4.111155+3 3.700505-6 4.286491+3 3.704741-6 4.565328+3 3.709308-6 4.848775+3 3.714016-6 5.115947+3 3.718578-6 5.344792+3 3.724154-6 5.576579+3 3.728655-6 5.720103+3 3.731612-6 5.791442+3 3.736005-6 5.862175+3 3.740478-6 5.889730+3 3.745446-6 5.867415+3 3.749586-6 5.807109+3 3.751155-6 5.774677+3 3.755860-6 5.647313+3 3.759149-6 5.533075+3 3.762809-6 5.383776+3 3.767514-6 5.161383+3 3.770771-6 4.990201+3 3.775426-6 4.725625+3 3.780288-6 4.430166+3 3.785898-6 4.073952+3 3.790386-6 3.783651+3 3.795435-6 3.457800+3 3.799362-6 3.208607+3 3.808338-6 2.666385+3 3.811502-6 2.487520+3 3.818722-6 2.108285+3 3.826291-6 1.758039+3 3.836734-6 1.356682+3 3.849572-6 9.848789+2 3.857671-6 8.095395+2 3.862211-6 7.280510+2 3.866680-6 6.580671+2 3.871079-6 5.979527+2 3.875410-6 5.462570+2 3.879673-6 5.017106+2 3.888065-6 4.293328+2 3.896196-6 3.745570+2 3.904072-6 3.322876+2 3.911702-6 2.989676+2 3.919094-6 2.721395+2 3.926255-6 2.501072+2 3.933191-6 2.316926+2 3.946632-6 2.022255+2 3.959232-6 1.800956+2 3.971045-6 1.628714+2 3.982119-6 1.491053+2 3.992502-6 1.378747+2 4.002235-6 1.285593+2 4.020485-6 1.136371+2 4.036454-6 1.027344+2 4.050427-6 9.448750+1 4.064804-6 8.702281+1 4.084049-6 7.833771+1 4.100096-6 7.201281+1 4.124166-6 6.373314+1 4.168657-6 5.125183+1 4.189078-6 4.658127+1 4.208552-6 4.278844+1 4.224431-6 4.021609+1 4.238999-6 3.828752+1 4.249925-6 3.711338+1 4.266315-6 3.577269+1 4.274509-6 3.527708+1 4.282704-6 3.488385+1 4.292243-6 3.453551+1 4.301781-6 3.427758+1 4.336293-6 3.356137+1 4.350324-6 3.311263+1 4.364293-6 3.246444+1 4.378262-6 3.159459+1 4.386836-6 3.095782+1 4.395011-6 3.028848+1 4.409740-6 2.896653+1 4.423654-6 2.763679+1 4.444606-6 2.560984+1 4.518862-6 1.936931+1 4.532879-6 1.843448+1 4.541053-6 1.794078+1 4.552148-6 1.734169+1 4.563244-6 1.683381+1 4.570375-6 1.655846+1 4.577507-6 1.632334+1 4.587018-6 1.606957+1 4.596529-6 1.587644+1 4.607625-6 1.571028+1 4.640911-6 1.531430+1 4.655607-6 1.504406+1 4.664710-6 1.481860+1 4.673812-6 1.454585+1 4.685292-6 1.413972+1 4.695991-6 1.371151+1 4.716041-6 1.284278+1 4.744864-6 1.164594+1 4.763921-6 1.098323+1 4.774331-6 1.067102+1 4.784740-6 1.039070+1 4.800958-6 1.000936+1 4.812140-6 9.781984+0 4.823323-6 9.583580+0 4.834854-6 9.411740+0 4.847994-6 9.260282+0 4.856337-6 9.189520+0 4.875109-6 9.095803+0 4.909470-6 9.032310+0 4.926437-6 8.955789+0 4.935214-6 8.885434+0 4.948381-6 8.732766+0 4.961547-6 8.522740+0 4.979877-6 8.146758+0 5.006142-6 7.494560+0 5.026063-6 6.960400+0 5.062714-6 5.977065+0 5.081655-6 5.485328+0 5.102882-6 4.954748+0 5.125440-6 4.422199+0 5.147651-6 3.934805+0 5.163185-6 3.613379+0 5.174498-6 3.385720+0 5.188968-6 3.097466+0 5.201060-6 2.856197+0 5.213720-6 2.603704+0 5.229149-6 2.306227+0 5.241950-6 2.087480+0 5.249002-6 1.988350+0 5.258518-6 1.892398+0 5.262550-6 1.868899+0 5.268696-6 1.857776+0 5.271769-6 1.865106+0 5.274842-6 1.882153+0 5.284532-6 2.009705+0 5.287762-6 2.080804+0 5.300681-6 2.540086+0 5.302416-6 2.625920+0 5.308488-6 2.977808+0 5.313042-6 3.298284+0 5.316665-6 3.590796+0 5.325877-6 4.498090+0 5.344461-6 7.149538+0 5.352786-6 8.740260+0 5.360737-6 1.051153+1 5.369489-6 1.275322+1 5.376183-6 1.467237+1 5.379620-6 1.572455+1 5.385919-6 1.776531+1 5.392066-6 1.988595+1 5.398115-6 2.208170+1 5.405152-6 2.474692+1 5.411402-6 2.718489+1 5.417086-6 2.943332+1 5.422471-6 3.156656+1 5.428229-6 3.382380+1 5.433804-6 3.595792+1 5.437797-6 3.743915+1 5.444785-6 3.990136+1 5.451117-6 4.195116+1 5.454001-6 4.281673+1 5.459091-6 4.422607+1 5.465000-6 4.565498+1 5.478202-6 4.793833+1 5.482820-6 4.841782+1 5.491636-6 4.885701+1 5.497687-6 4.879909+1 5.504162-6 4.842434+1 5.509449-6 4.789097+1 5.516389-6 4.690495+1 5.524230-6 4.544374+1 5.533101-6 4.342214+1 5.542402-6 4.098400+1 5.552138-6 3.820521+1 5.554488-6 3.751376+1 5.567943-6 3.351071+1 5.571962-6 3.232620+1 5.593894-6 2.627527+1 5.614611-6 2.154091+1 5.625781-6 1.944433+1 5.636918-6 1.765864+1 5.650639-6 1.583364+1 5.664396-6 1.435522+1 5.680214-6 1.299788+1 5.689436-6 1.233849+1 5.703708-6 1.146389+1 5.718439-6 1.070256+1 5.731334-6 1.012316+1 5.762503-6 8.947192+0 5.786107-6 8.191221+0 5.836522-6 6.754429+0 5.864310-6 6.002893+0 5.887750-6 5.405705+0 5.903249-6 5.061859+0 5.909992-6 4.934452+0 5.916734-6 4.825235+0 5.921812-6 4.757236+0 5.926989-6 4.702420+0 5.932549-6 4.661931+0 5.946625-6 4.659425+0 5.950964-6 4.691543+0 5.965539-6 4.929198+0 5.969432-6 5.028695+0 5.981111-6 5.422354+0 5.984755-6 5.574462+0 5.990222-6 5.828133+0 5.999333-6 6.315690+0 6.024845-6 8.022988+0 6.035779-6 8.841216+0 6.039424-6 9.115527+0 6.052180-6 1.005183+1 6.054002-6 1.018002+1 6.068580-6 1.112022+1 6.070402-6 1.122457+1 6.083158-6 1.185128+1 6.086803-6 1.199355+1 6.097736-6 1.231215+1 6.102343-6 1.239598+1 6.106374-6 1.244442+1 6.113429-6 1.247355+1 6.118719-6 1.244990+1 6.126655-6 1.234461+1 6.134591-6 1.216160+1 6.141471-6 1.194665+1 6.152405-6 1.151435+1 6.156049-6 1.134972+1 6.169601-6 1.067289+1 6.177590-6 1.024296+1 6.184176-6 9.881409+0 6.217289-6 8.171196+0 6.229172-6 7.672334+0 6.244430-6 7.164149+0 6.252058-6 6.971067+0 6.259687-6 6.819817+0 6.267315-6 6.710030+0 6.274944-6 6.640384+0 6.279315-6 6.617743+0 6.286965-6 6.606433+0 6.292703-6 6.619784+0 6.301309-6 6.670679+0 6.310730-6 6.761689+0 6.320716-6 6.887857+0 6.351230-6 7.337557+0 6.366756-6 7.530306+0 6.379704-6 7.643757+0 6.387473-6 7.687473+0 6.393990-6 7.709656+0 6.408652-6 7.713702+0 6.421336-6 7.673276+0 6.444727-6 7.531130+0 6.469421-6 7.356800+0 6.483071-6 7.274400+0 6.496720-6 7.209497+0 6.522698-6 7.134987+0 6.554223-6 7.101785+0 6.602989-6 7.068836+0 6.696407-6 6.926655+0 6.808942-6 6.713754+0 6.871365-6 6.636328+0 6.965963-6 6.552287+0 7.254487-6 6.245583+0 7.599882-6 5.964814+0 7.852356-6 5.805464+0 8.231168-6 5.622415+0 8.595333-6 5.486352+0 8.916951-6 5.412298+0 9.417933-6 5.355218+0 1.000714-5 5.372781+0 1.086009-5 5.516176+0 1.165608-5 5.723273+0 1.347147-5 6.285168+0 1.418307-5 6.463394+0 1.474676-5 6.563900+0 1.518166-5 6.604618+0 1.542144-5 6.611253+0 1.573189-5 6.597191+0 1.610000-5 6.557669+0 1.649288-5 6.473287+0 1.694324-5 6.337582+0 1.731325-5 6.197489+0 1.744719-5 6.179902+0 1.752216-5 6.198746+0 1.764538-5 6.286738+0 1.774307-5 6.400912+0 1.785546-5 6.567843+0 1.796639-5 6.764314+0 1.806240-5 6.961461+0 1.816181-5 7.196508+0 1.827258-5 7.502546+0 1.836994-5 7.818150+0 1.845550-5 8.139589+0 1.850000-5 8.325927+0 1.857684-5 8.683888+0 1.863078-5 8.966666+0 1.872092-5 9.509370+0 1.877792-5 9.907258+0 1.883649-5 1.037027+1 1.888058-5 1.076184+1 1.892957-5 1.124864+1 1.897305-5 1.173454+1 1.902144-5 1.234705+1 1.907655-5 1.315930+1 1.912351-5 1.397430+1 1.917859-5 1.512390+1 1.921742-5 1.610262+1 1.927525-5 1.792636+1 1.931133-5 1.936970+1 1.935828-5 2.174380+1 1.938176-5 2.320184+1 1.940718-5 2.503459+1 1.944000-5 2.786681+1 1.945219-5 2.907392+1 1.947567-5 3.166854+1 1.949915-5 3.465878+1 1.952262-5 3.809375+1 1.954610-5 4.202266+1 1.956958-5 4.649296+1 1.962791-5 6.020950+1 1.968989-5 7.921179+1 1.971407-5 8.786321+1 1.973824-5 9.715967+1 1.978658-5 1.173928+2 1.979263-5 1.200448+2 1.983493-5 1.390611+2 1.985155-5 1.466268+2 1.988861-5 1.632826+2 1.991504-5 1.746566+2 1.993851-5 1.841531+2 1.995737-5 1.912373+2 1.996869-5 1.952097+2 1.998360-5 2.000832+2 2.000601-5 2.065560+2 2.002831-5 2.118610+2 2.005399-5 2.164233+2 2.007817-5 2.190942+2 2.008658-5 2.196404+2 2.011059-5 2.200875+2 2.013446-5 2.188950+2 2.014417-5 2.179474+2 2.016976-5 2.142038+2 2.019067-5 2.098586+2 2.022471-5 2.005239+2 2.024401-5 1.941253+2 2.026028-5 1.881925+2 2.027608-5 1.820148+2 2.029459-5 1.743372+2 2.031838-5 1.639063+2 2.033953-5 1.542534+2 2.036163-5 1.439407+2 2.039090-5 1.301685+2 2.041507-5 1.189077+2 2.044227-5 1.065728+2 2.046342-5 9.734271+1 2.051478-5 7.671827+1 2.054311-5 6.663305+1 2.058126-5 5.465599+1 2.064972-5 3.790928+1 2.066681-5 3.466248+1 2.068310-5 3.190187+1 2.069837-5 2.960396+1 2.071902-5 2.693317+1 2.073871-5 2.483891+1 2.076230-5 2.289344+1 2.081909-5 2.063270+1 2.084413-5 2.068569+1 2.086060-5 2.106314+1 2.087318-5 2.153322+1 2.088572-5 2.215801+1 2.089551-5 2.275349+1 2.090913-5 2.373852+1 2.092362-5 2.498638+1 2.094123-5 2.677827+1 2.095422-5 2.829227+1 2.096661-5 2.988866+1 2.100476-5 3.571207+1 2.103052-5 4.039423+1 2.108525-5 5.217697+1 2.109128-5 5.361380+1 2.113676-5 6.514970+1 2.115336-5 6.961553+1 2.118827-5 7.928258+1 2.121279-5 8.617254+1 2.123656-5 9.281281+1 2.125954-5 9.909864+1 2.127994-5 1.044911+2 2.130126-5 1.098581+2 2.132549-5 1.155345+2 2.134119-5 1.189241+2 2.137238-5 1.248637+2 2.139686-5 1.286895+2 2.142318-5 1.318896+2 2.144842-5 1.340085+2 2.146131-5 1.347195+2 2.149206-5 1.353839+2 2.150980-5 1.351082+2 2.154802-5 1.329277+2 2.156904-5 1.308558+2 2.159242-5 1.278861+2 2.160746-5 1.256389+2 2.163269-5 1.213392+2 2.165724-5 1.166126+2 2.167774-5 1.123312+2 2.170486-5 1.063150+2 2.174572-5 9.679360+1 2.175810-5 9.386030+1 2.179754-5 8.457308+1 2.180961-5 8.178331+1 2.186231-5 7.017184+1 2.197801-5 4.948022+1 2.202150-5 4.362739+1 2.206118-5 3.913452+1 2.207440-5 3.779999+1 2.212730-5 3.317268+1 2.224696-5 2.583028+1 2.228601-5 2.406102+1 2.233891-5 2.198184+1 2.239315-5 2.014337+1 2.244471-5 1.861457+1 2.250000-5 1.717425+1 2.255051-5 1.601696+1 2.258047-5 1.539543+1 2.263369-5 1.439942+1 2.268691-5 1.352753+1 2.274570-5 1.268845+1 2.284215-5 1.153818+1 2.292091-5 1.075717+1 2.300000-5 1.007808+1 2.312004-5 9.198766+0 2.329249-5 8.206764+0 2.333438-5 8.017179+0 2.342853-5 7.676050+0 2.350000-5 7.500200+0 2.355047-5 7.418363+0 2.361060-5 7.361251+0 2.368548-5 7.336501+0 2.388520-5 7.337909+0 2.411541-5 7.265957+0 2.418319-5 7.279232+0 2.423819-5 7.317564+0 2.430469-5 7.398889+0 2.437718-5 7.525758+0 2.459092-5 8.008898+0 2.469303-5 8.236647+0 2.489802-5 8.658602+0 2.506614-5 9.060287+0 2.516759-5 9.390310+0 2.524122-5 9.691364+0 2.529957-5 9.970214+0 2.540973-5 1.058525+1 2.557175-5 1.161021+1 2.568278-5 1.230512+1 2.578514-5 1.290319+1 2.610000-5 1.472002+1 2.652174-5 1.782052+1 2.695450-5 2.143617+1 2.711052-5 2.306929+1 2.721058-5 2.429605+1 2.731814-5 2.579848+1 2.747642-5 2.836166+1 2.831237-5 4.766124+1 2.849295-5 5.336869+1 2.868655-5 6.039860+1 2.886806-5 6.803230+1 2.903822-5 7.630201+1 2.919775-5 8.523680+1 2.934730-5 9.486586+1 2.948751-5 1.052139+2 2.961896-5 1.162978+2 2.978263-5 1.323609+2 2.985771-5 1.407236+2 2.996602-5 1.540896+2 3.008746-5 1.712170+2 3.019952-5 1.894365+2 3.033566-5 2.154146+2 3.041410-5 2.327042+2 3.048763-5 2.507550+2 3.062120-5 2.890624+2 3.068179-5 3.092763+2 3.079539-5 3.532245+2 3.091115-5 4.084395+2 3.098739-5 4.524450+2 3.105789-5 5.001492+2 3.112448-5 5.529599+2 3.118275-5 6.067815+2 3.123374-5 6.609178+2 3.128178-5 7.190567+2 3.131738-5 7.672790+2 3.138570-5 8.742201+2 3.143693-5 9.690579+2 3.150418-5 1.116628+3 3.156902-5 1.288935+3 3.159064-5 1.354024+3 3.166839-5 1.625649+3 3.170727-5 1.786815+3 3.178503-5 2.170909+3 3.182391-5 2.399007+3 3.190166-5 2.942120+3 3.197942-5 3.623466+3 3.216985-5 6.053189+3 3.223478-5 7.175243+3 3.230403-5 8.547060+3 3.239307-5 1.055618+4 3.247222-5 1.252073+4 3.249942-5 1.321958+4 3.255879-5 1.475472+4 3.259927-5 1.578742+4 3.264370-5 1.688062+4 3.267771-5 1.767316+4 3.271438-5 1.846897+4 3.275763-5 1.930916+4 3.279375-5 1.991296+4 3.284013-5 2.053709+4 3.288076-5 2.092870+4 3.292158-5 2.116454+4 3.296274-5 2.123567+4 3.300193-5 2.114561+4 3.304250-5 2.089238+4 3.305036-5 2.082493+4 3.310910-5 2.014191+4 3.314383-5 1.959998+4 3.316793-5 1.916976+4 3.320892-5 1.834779+4 3.324031-5 1.765227+4 3.326594-5 1.704891+4 3.329958-5 1.621815+4 3.334284-5 1.510299+4 3.338241-5 1.405574+4 3.342198-5 1.300110+4 3.346650-5 1.182601+4 3.350113-5 1.093291+4 3.358028-5 9.004791+3 3.363345-5 7.825063+3 3.365942-5 7.287898+3 3.371878-5 6.161976+3 3.379520-5 4.924475+3 3.394522-5 3.141011+3 3.398684-5 2.777567+3 3.402847-5 2.461740+3 3.407009-5 2.188312+3 3.410338-5 1.996731+3 3.415333-5 1.748713+3 3.419496-5 1.573354+3 3.423658-5 1.422147+3 3.428815-5 1.262998+3 3.436144-5 1.079877+3 3.443114-5 9.417578+2 3.448631-5 8.512774+2 3.456956-5 7.384927+2 3.465280-5 6.470126+2 3.473604-5 5.710906+2 3.481929-5 5.068198+2 3.491914-5 4.413901+2 3.508415-5 3.538725+2 3.525686-5 2.827194+2 3.534321-5 2.535170+2 3.542957-5 2.280835+2 3.551592-5 2.061241+2 3.558732-5 1.903730+2 3.564911-5 1.783375+2 3.571204-5 1.674530+2 3.577499-5 1.577930+2 3.586134-5 1.462569+2 3.594770-5 1.363669+2 3.603406-5 1.278214+2 3.611932-5 1.205046+2 3.617398-5 1.163484+2 3.629312-5 1.086778+2 3.639355-5 1.036511+2 3.647578-5 1.004442+2 3.653277-5 9.863580+1 3.663441-5 9.603853+1 3.684537-5 9.151922+1 3.687925-5 9.071051+1 3.698206-5 8.788618+1 3.703954-5 8.602967+1 3.713270-5 8.259817+1 3.721251-5 7.930090+1 3.737025-5 7.217904+1 3.747690-5 6.721638+1 3.761474-5 6.096518+1 3.789904-5 4.940876+1 3.810480-5 4.246308+1 3.822849-5 3.899294+1 3.831440-5 3.697784+1 3.838124-5 3.568783+1 3.841946-5 3.508127+1 3.847540-5 3.439810+1 3.850450-5 3.415441+1 3.856036-5 3.394459+1 3.861673-5 3.415420+1 3.865788-5 3.464356+1 3.870796-5 3.572239+1 3.873979-5 3.674419+1 3.875311-5 3.726222+1 3.879531-5 3.931151+1 3.881404-5 4.044549+1 3.883872-5 4.218295+1 3.885930-5 4.386576+1 3.887486-5 4.529533+1 3.889043-5 4.687165+1 3.892116-5 5.046119+1 3.894511-5 5.374988+1 3.896795-5 5.733988+1 3.899682-5 6.259512+1 3.902406-5 6.838051+1 3.904750-5 7.408573+1 3.908487-5 8.477072+1 3.912247-5 9.780213+1 3.915772-5 1.124520+2 3.919291-5 1.298072+2 3.925079-5 1.654036+2 3.942765-5 3.509715+2 3.948831-5 4.514948+2 3.953475-5 5.450534+2 3.958483-5 6.642746+2 3.962930-5 7.878011+2 3.968245-5 9.593555+2 3.972593-5 1.120521+3 3.975504-5 1.239441+3 3.978415-5 1.367488+3 3.983299-5 1.603286+3 3.988228-5 1.868141+3 3.998562-5 2.508704+3 3.999707-5 2.586328+3 4.008331-5 3.207639+3 4.011479-5 3.448002+3 4.017488-5 3.920614+3 4.021545-5 4.245562+3 4.024711-5 4.499806+3 4.029236-5 4.860211+3 4.033963-5 5.227477+3 4.037988-5 5.527940+3 4.041841-5 5.800794+3 4.046445-5 6.103139+3 4.051830-5 6.416619+3 4.056638-5 6.653581+3 4.061443-5 6.844780+3 4.066231-5 6.986052+3 4.070767-5 7.072139+3 4.074766-5 7.108460+3 4.079074-5 7.105948+3 4.086477-5 7.003088+3 4.091128-5 6.878176+3 4.095635-5 6.716511+3 4.100013-5 6.524996+3 4.104928-5 6.274575+3 4.109034-5 6.041173+3 4.114313-5 5.715303+3 4.119626-5 5.365855+3 4.124940-5 5.003279+3 4.130435-5 4.622945+3 4.134708-5 4.328370+3 4.145698-5 3.599356+3 4.154245-5 3.081123+3 4.164622-5 2.528371+3 4.178711-5 1.924449+3 4.188618-5 1.596690+3 4.193572-5 1.459698+3 4.198525-5 1.338753+3 4.204945-5 1.203434+3 4.213386-5 1.057140+3 4.223808-5 9.165458+2 4.233645-5 8.147510+2 4.244040-5 7.309931+2 4.256369-5 6.540933+2 4.266078-5 6.056230+2 4.280400-5 5.474933+2 4.297743-5 4.916319+2 4.319779-5 4.356075+2 4.342103-5 3.904989+2 4.360856-5 3.595498+2 4.372624-5 3.429424+2 4.391089-5 3.208744+2 4.406240-5 3.061240+2 4.428239-5 2.895663+2 4.452582-5 2.771857+2 4.464412-5 2.731178+2 4.479603-5 2.694001+2 4.504260-5 2.657245+2 4.531584-5 2.625836+2 4.554472-5 2.592868+2 4.628587-5 2.467678+2 4.671479-5 2.405722+2 4.754269-5 2.279983+2 4.824409-5 2.187640+2 4.916270-5 2.085071+2 5.032161-5 1.977143+2 5.196926-5 1.847186+2 5.378378-5 1.729282+2 5.548835-5 1.633986+2 5.896917-5 1.472332+2 6.297567-5 1.324653+2 6.536144-5 1.249582+2 6.755970-5 1.184124+2 6.806361-5 1.171898+2 6.839115-5 1.166453+2 6.948360-5 1.159081+2 6.992525-5 1.153224+2 7.081604-5 1.133335+2 7.200526-5 1.110492+2 7.497275-5 1.066121+2 7.734321-5 1.039254+2 7.980749-5 1.019492+2 8.252451-5 1.007399+2 8.675313-5 1.007374+2 9.151333-5 1.032355+2 9.603814-5 1.078768+2 1.002576-4 1.137807+2 1.047129-4 1.215430+2 1.105987-4 1.337715+2 1.163957-4 1.473574+2 1.230269-4 1.648445+2 1.288400-4 1.815642+2 1.462177-4 2.379731+2 1.557942-4 2.717848+2 1.650144-4 3.047094+2 1.746912-4 3.390589+2 1.851491-4 3.748785+2 1.928817-4 3.995731+2 1.980000-4 4.147169+2 2.025772-4 4.261714+2 2.054343-4 4.317885+2 2.069364-4 4.354637+2 2.082918-4 4.412850+2 2.093697-4 4.485089+2 2.119347-4 4.709857+2 2.128681-4 4.780571+2 2.139330-4 4.842079+2 2.167324-4 4.951118+2 2.180369-4 5.017462+2 2.193416-4 5.108978+2 2.216663-4 5.294863+2 2.226740-4 5.361445+2 2.238424-4 5.421339+2 2.273512-4 5.572445+2 2.310901-4 5.789741+2 2.364781-4 6.087317+2 2.437188-4 6.413135+2 2.507886-4 6.664802+2 2.591216-4 6.903077+2 2.686642-4 7.132077+2 2.815000-4 7.402109+2 3.200000-4 8.142524+2 3.411423-4 8.505900+2 3.579976-4 8.730697+2 3.621735-4 8.810720+2 3.643304-4 8.888438+2 3.695694-4 9.131186+2 3.720996-4 9.180311+2 3.756558-4 9.181622+2 3.780368-4 9.208378+2 3.802998-4 9.273834+2 3.849762-4 9.464157+2 3.930000-4 9.737202+2 4.073803-4 1.009015+3 4.384413-4 1.071812+3 4.507085-4 1.099996+3 4.726455-4 1.138509+3 4.997468-4 1.175872+3 5.180980-4 1.196166+3 5.292210-4 1.215606+3 5.413173-4 1.240395+3 5.668100-4 1.278659+3 6.061472-4 1.321467+3 6.512534-4 1.358355+3 7.038822-4 1.389781+3 7.586712-4 1.410872+3 8.185094-4 1.419036+3 8.812073-4 1.419308+3 9.442307-4 1.412052+3 1.008672-3 1.396705+3 1.080812-3 1.370622+3 1.150000-3 1.333660+3 1.215909-3 1.288447+3 1.275072-3 1.240749+3 1.333522-3 1.185213+3 1.387091-3 1.125062+3 1.428886-3 1.069844+3 1.468948-3 1.007655+3 1.504270-3 9.419109+2 1.533219-3 8.789517+2 1.555906-3 8.214936+2 1.576051-3 7.620695+2 1.592862-3 7.038372+2 1.606426-3 6.481672+2 1.616779-3 5.980214+2 1.624987-3 5.526840+2 1.631613-3 5.133666+2 1.641386-3 4.569644+2 1.645708-3 4.360876+2 1.647560-3 4.285425+2 1.649363-3 4.221927+2 1.651381-3 4.164040+2 1.653432-3 4.121076+2 1.655252-3 4.097450+2 1.657389-3 4.088309+2 1.659532-3 4.100181+2 1.661795-3 4.136133+2 1.664179-3 4.199977+2 1.666124-3 4.271319+2 1.667727-3 4.342491+2 1.669507-3 4.433795+2 1.672073-3 4.586257+2 1.676859-3 4.923775+2 1.686124-3 5.681731+2 1.688659-3 5.893337+2 1.691566-3 6.131377+2 1.694733-3 6.382471+2 1.698574-3 6.673922+2 1.703488-3 7.028987+2 1.713076-3 7.704791+2 1.727480-3 8.842337+2 1.736982-3 9.694921+2 1.741486-3 1.010635+3 1.747307-3 1.062524+3 1.753585-3 1.115268+3 1.760811-3 1.170593+3 1.770459-3 1.235518+3 1.785652-3 1.322463+3 1.809171-3 1.437752+3 1.827574-3 1.517256+3 1.848737-3 1.597330+3 1.875628-3 1.684700+3 1.896517-3 1.741399+3 1.915965-3 1.783656+3 1.935861-3 1.816285+3 1.957034-3 1.840788+3 1.981993-3 1.859169+3 2.006096-3 1.867130+3 2.056532-3 1.862155+3 2.070752-3 1.871463+3 2.079794-3 1.884544+3 2.094968-3 1.918189+3 2.128560-3 2.014634+3 2.140656-3 2.047025+3 2.152046-3 2.073686+3 2.165438-3 2.099761+3 2.186291-3 2.130649+3 2.208632-3 2.154609+3 2.235618-3 2.175154+3 2.262598-3 2.188020+3 2.322103-3 2.199997+3 2.348411-3 2.216770+3 2.407909-3 2.285066+3 2.426610-3 2.301903+3 2.454930-3 2.319289+3 2.486749-3 2.329790+3 2.552430-3 2.333966+3 2.579582-3 2.348299+3 2.630364-3 2.396856+3 2.654406-3 2.413657+3 2.691535-3 2.430888+3 2.768571-3 2.451642+3 2.870476-3 2.461665+3 3.063726-3 2.457193+3 3.281077-3 2.432008+3 3.466244-3 2.396437+3 3.741263-3 2.334431+3 3.918128-3 2.291174+3 4.497482-3 2.129399+3 4.846952-3 2.031861+3 5.175629-3 1.941040+3 5.677738-3 1.807833+3 6.178298-3 1.681378+3 6.437985-3 1.619330+3 7.025776-3 1.482604+3 7.341284-3 1.411665+3 7.646572-3 1.344910+3 7.886135-3 1.292188+3 8.113095-3 1.242517+3 8.312570-3 1.198381+3 8.500972-3 1.155126+3 8.657812-3 1.117949+3 8.784443-3 1.086596+3 8.899070-3 1.056517+3 9.000000-3 1.027999+3 9.092709-3 9.993153+2 9.164132-3 9.746926+2 9.224534-3 9.510914+2 9.276187-3 9.278587+2 9.328569-3 9.006375+2 9.454514-3 8.289071+2 9.492579-3 8.134360+2 9.512144-3 8.082450+2 9.530404-3 8.053883+2 9.560830-3 8.051202+2 9.585426-3 8.088920+2 9.618891-3 8.189192+2 9.675889-3 8.441806+2 9.752279-3 8.799582+2 9.773654-3 8.884798+2 9.814170-3 9.020806+2 9.847392-3 9.107873+2 9.887650-3 9.187639+2 9.939084-3 9.256997+2 1.000549-2 9.307613+2 1.007944-2 9.327829+2 1.015773-2 9.318032+2 1.024525-2 9.275186+2 1.030910-2 9.223440+2 1.038126-2 9.141727+2 1.044719-2 9.041359+2 1.054524-2 8.842955+2 1.063828-2 8.638300+2 1.068900-2 8.558595+2 1.074381-2 8.525834+2 1.078675-2 8.544154+2 1.084144-2 8.612956+2 1.094578-2 8.788298+2 1.102278-2 8.874808+2 1.122228-2 8.971863+2 1.129194-2 9.051934+2 1.146567-2 9.320696+2 1.157426-2 9.435501+2 1.164967-2 9.483192+2 1.184180-2 9.536738+2 1.205839-2 9.536429+2 1.233555-2 9.485989+2 1.278147-2 9.335185+2 1.327061-2 9.114273+2 1.399467-2 8.740346+2 1.474097-2 8.335326+2 1.565660-2 7.841847+2 1.686864-2 7.223360+2 1.865241-2 6.418648+2 2.095514-2 5.552501+2 2.339174-2 4.811664+2 2.601088-2 4.159652+2 2.810978-2 3.719816+2 3.191125-2 3.076293+2 3.599261-2 2.552824+2 3.888531-2 2.252684+2 4.214883-2 1.965732+2 4.938184-2 1.489901+2 5.312200-2 1.304898+2 5.625999-2 1.168625+2 5.845591-2 1.079907+2 6.019952-2 1.011037+2 6.153325-2 9.572026+1 6.253395-2 9.138880+1 6.296311-2 8.934905+1 6.330876-2 8.755617+1 6.383248-2 8.444307+1 6.437985-2 8.065077+1 6.482213-2 7.768416+1 6.512223-2 7.620266+1 6.534814-2 7.556563+1 6.556830-2 7.539796+1 6.578357-2 7.564605+1 6.609921-2 7.657567+1 6.685645-2 7.958432+1 6.717415-2 8.053824+1 6.761227-2 8.138835+1 6.791761-2 8.172405+1 6.867010-2 8.199724+1 6.950000-2 8.178677+1 7.068381-2 8.101802+1 7.276942-2 7.903581+1 7.536033-2 7.607350+1 7.805637-2 7.276924+1 8.282972-2 6.694931+1 8.987944-2 5.913397+1 9.823487-2 5.127583+1 1.087051-1 4.324729+1 1.189043-1 3.697740+1 1.386458-1 2.806122+1 1.889726-1 1.596273+1 2.283032-1 1.124277+1 2.770567-1 7.797618+0 3.631685-1 4.636832+0 5.180975-1 2.324495+0 7.994606-1 9.925745-1 1.287539+0 3.869193-1 2.451607+0 1.074191-1 7.403736+0 1.180528-2 2.235892+1 1.294714-3 6.752287+1 1.419661-4 2.039158+2 1.556631-5 6.158159+2 1.706812-6 1.995262+3 1.625877-7 6.309573+3 1.625877-8 1.995262+4 1.625877-9 6.309573+4 1.62588-10 1.000000+5 6.47273-11 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.938000-6 1.258900-6 3.071500-6 1.584900-6 4.868000-6 1.995300-6 7.715200-6 2.511900-6 1.222800-5 3.162300-6 1.937900-5 3.981100-6 3.071400-5 5.011900-6 4.867900-5 6.309600-6 7.715000-5 7.943300-6 1.222700-4 1.000000-5 1.937900-4 1.258900-5 3.071300-4 1.584900-5 4.865800-4 1.995300-5 7.708100-4 2.511900-5 1.221200-3 3.162300-5 1.934800-3 3.981100-5 3.065700-3 5.011900-5 4.858000-3 6.309600-5 7.698100-3 7.943300-5 1.218400-2 1.000000-4 1.927700-2 1.258900-4 3.049700-2 1.584900-4 4.812900-2 1.995300-4 7.588500-2 2.511900-4 1.192400-1 3.162300-4 1.864400-1 3.981100-4 2.892800-1 5.011900-4 4.423400-1 6.309600-4 6.628500-1 7.943300-4 9.680500-1 1.000000-3 1.369500+0 1.258900-3 1.871300+0 1.584900-3 2.483000+0 1.995300-3 3.231600+0 2.511900-3 4.161100+0 3.162300-3 5.305500+0 3.981100-3 6.685500+0 5.011900-3 8.320400+0 6.309600-3 1.019700+1 7.943300-3 1.226700+1 1.000000-2 1.449200+1 1.258900-2 1.687200+1 1.584900-2 1.936600+1 1.995300-2 2.197600+1 2.511900-2 2.448700+1 3.162300-2 2.670900+1 3.981100-2 2.850400+1 5.011900-2 2.981500+1 6.309600-2 3.061800+1 7.943300-2 3.092000+1 1.000000-1 3.069500+1 1.258900-1 2.996700+1 1.584900-1 2.888100+1 1.995300-1 2.746800+1 2.511900-1 2.584000+1 3.162300-1 2.407700+1 3.981100-1 2.224600+1 5.011900-1 2.039800+1 6.309600-1 1.857300+1 7.943300-1 1.679500+1 1.000000+0 1.509200+1 1.258900+0 1.347000+1 1.584900+0 1.194400+1 1.995300+0 1.052100+1 2.511900+0 9.208000+0 3.162300+0 8.008300+0 3.981100+0 6.923400+0 5.011900+0 5.951800+0 6.309600+0 5.089800+0 7.943300+0 4.331500+0 1.000000+1 3.669900+0 1.258900+1 3.096800+0 1.584900+1 2.603600+0 1.995300+1 2.181700+0 2.511900+1 1.822700+0 3.162300+1 1.518600+0 3.981100+1 1.262200+0 5.011900+1 1.046800+0 6.309600+1 8.663400-1 7.943300+1 7.157100-1 1.000000+2 5.903000-1 1.258900+2 4.861200-1 1.584900+2 3.997800-1 1.995300+2 3.283500-1 2.511900+2 2.693700-1 3.162300+2 2.207400-1 3.981100+2 1.807100-1 5.011900+2 1.478000-1 6.309600+2 1.207800-1 7.943300+2 9.861900-2 1.000000+3 8.046100-2 1.258900+3 6.559900-2 1.584900+3 5.344600-2 1.995300+3 4.351600-2 2.511900+3 3.541000-2 3.162300+3 2.879700-2 3.981100+3 2.340600-2 5.011900+3 1.901400-2 6.309600+3 1.543900-2 7.943300+3 1.253000-2 1.000000+4 1.016400-2 1.258900+4 8.241800-3 1.584900+4 6.680000-3 1.995300+4 5.412100-3 2.511900+4 4.383100-3 3.162300+4 3.548400-3 3.981100+4 2.871700-3 5.011900+4 2.323200-3 6.309600+4 1.878900-3 7.943300+4 1.519000-3 1.000000+5 1.227700-3 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510164-4 3.162278-4 3.159553-4 3.981072-4 3.976755-4 5.011872-4 5.005067-4 6.309573-4 6.298897-4 7.943282-4 7.926539-4 1.000000-3 9.973831-4 1.258925-3 1.254841-3 1.584893-3 1.578541-3 1.995262-3 1.985339-3 2.511886-3 2.496330-3 3.162278-3 3.137852-3 3.981072-3 3.942747-3 5.011872-3 4.951813-3 6.309573-3 6.215697-3 7.943282-3 7.797048-3 1.000000-2 9.772791-3 1.258925-2 1.223658-2 1.584893-2 1.530148-2 1.995262-2 1.910716-2 2.511886-2 2.381837-2 3.162278-2 2.963729-2 3.981072-2 3.680151-2 5.011872-2 4.558783-2 6.309573-2 5.632190-2 7.943282-2 6.936300-2 1.000000-1 8.516586-2 1.258925-1 1.042907-1 1.584893-1 1.271722-1 1.995262-1 1.546347-1 2.511886-1 1.874172-1 3.162278-1 2.264054-1 3.981072-1 2.726022-1 5.011872-1 3.272265-1 6.309573-1 3.916985-1 7.943282-1 4.677130-1 1.000000+0 5.569963-1 1.258925+0 6.623463-1 1.584893+0 7.867175-1 1.995262+0 9.338100-1 2.511886+0 1.108379+0 3.162278+0 1.316110+0 3.981072+0 1.564085+0 5.011872+0 1.860978+0 6.309573+0 2.217092+0 7.943282+0 2.645678+0 1.000000+1 3.162291+0 1.258925+1 3.786367+0 1.584893+1 4.541504+0 1.995262+1 5.456768+0 2.511886+1 6.567576+0 3.162278+1 7.917341+0 3.981072+1 9.560050+0 5.011872+1 1.156079+1 6.309573+1 1.400051+1 7.943282+1 1.697814+1 1.000000+2 2.061555+1 1.258925+2 2.506254+1 1.584893+2 3.050428+1 1.995262+2 3.716779+1 2.511886+2 4.533296+1 3.162278+2 5.534556+1 3.981072+2 6.763003+1 5.011872+2 8.271338+1 6.309573+2 1.012429+2 7.943282+2 1.240189+2 1.000000+3 1.520278+2 1.258925+3 1.864939+2 1.584893+3 2.289162+2 1.995262+3 2.811735+2 2.511886+3 3.455548+2 3.162278+3 4.249345+2 3.981072+3 5.228237+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88219-10 1.995262-5 1.090682-9 2.511886-5 1.728585-9 3.162278-5 2.739629-9 3.981072-5 4.342020-9 5.011872-5 6.881554-9 6.309573-5 1.090616-8 7.943282-5 1.727866-8 1.000000-4 2.737827-8 1.258925-4 4.338356-8 1.584893-4 6.870419-8 1.995262-4 1.088222-7 2.511886-4 1.722626-7 3.162278-4 2.724879-7 3.981072-4 4.316630-7 5.011872-4 6.804935-7 6.309573-4 1.067671-6 7.943282-4 1.674359-6 1.000000-3 2.616900-6 1.258925-3 4.083952-6 1.584893-3 6.352603-6 1.995262-3 9.923067-6 2.511886-3 1.555685-5 3.162278-3 2.442517-5 3.981072-3 3.832428-5 5.011872-3 6.005969-5 6.309573-3 9.387693-5 7.943282-3 1.462345-4 1.000000-2 2.272094-4 1.258925-2 3.526744-4 1.584893-2 5.474508-4 1.995262-2 8.454591-4 2.511886-2 1.300498-3 3.162278-2 1.985488-3 3.981072-2 3.009203-3 5.011872-2 4.530894-3 6.309573-2 6.773836-3 7.943282-2 1.006983-2 1.000000-1 1.483414-2 1.258925-1 2.160183-2 1.584893-1 3.131714-2 1.995262-1 4.489154-2 2.511886-1 6.377147-2 3.162278-1 8.982238-2 3.981072-1 1.255050-1 5.011872-1 1.739607-1 6.309573-1 2.392588-1 7.943282-1 3.266153-1 1.000000+0 4.430037-1 1.258925+0 5.965791-1 1.584893+0 7.981757-1 1.995262+0 1.061452+0 2.511886+0 1.403507+0 3.162278+0 1.846168+0 3.981072+0 2.416987+0 5.011872+0 3.150895+0 6.309573+0 4.092481+0 7.943282+0 5.297604+0 1.000000+1 6.837709+0 1.258925+1 8.802887+0 1.584893+1 1.130743+1 1.995262+1 1.449586+1 2.511886+1 1.855129+1 3.162278+1 2.370544+1 3.981072+1 3.025067+1 5.011872+1 3.855793+1 6.309573+1 4.909522+1 7.943282+1 6.245468+1 1.000000+2 7.938445+1 1.258925+2 1.008300+2 1.584893+2 1.279850+2 1.995262+2 1.623584+2 2.511886+2 2.058557+2 3.162278+2 2.608822+2 3.981072+2 3.304771+2 5.011872+2 4.184739+2 6.309573+2 5.297144+2 7.943282+2 6.703093+2 1.000000+3 8.479722+2 1.258925+3 1.072431+3 1.584893+3 1.355977+3 1.995262+3 1.714089+3 2.511886+3 2.166332+3 3.162278+3 2.737343+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.180000-6 4.827300+6 5.400000-6 5.150652+6 5.623413-6 5.444293+6 5.750000-6 5.590599+6 5.750000-6 8.093961+6 5.821032-6 8.245512+6 5.900000-6 8.404556+6 6.025596-6 8.639069+6 6.200000-6 8.953574+6 6.237348-6 9.016515+6 6.500000-6 9.439222+6 6.531306-6 9.487433+6 6.760830-6 9.811289+6 6.860000-6 9.943811+6 6.860000-6 1.549971+7 6.918310-6 1.538254+7 7.100000-6 1.505073+7 7.350000-6 1.468784+7 7.500000-6 1.450725+7 7.585776-6 1.441313+7 7.852356-6 1.417305+7 7.943282-6 1.410213+7 8.413951-6 1.383003+7 8.500000-6 1.379743+7 9.120108-6 1.361142+7 9.225714-6 1.359347+7 9.332543-6 1.357223+7 9.772372-6 1.352154+7 1.000000-5 1.350701+7 1.023293-5 1.348897+7 1.050000-5 1.348014+7 1.083927-5 1.347238+7 1.122018-5 1.345792+7 1.161449-5 1.344230+7 1.202264-5 1.341589+7 1.230269-5 1.339324+7 1.244515-5 1.338347+7 1.288400-5 1.333370+7 1.318257-5 1.329258+7 1.364583-5 1.320671+7 1.396368-5 1.313847+7 1.445440-5 1.301342+7 1.462177-5 1.296512+7 1.531087-5 1.273806+7 1.610000-5 1.242159+7 1.621810-5 1.236393+7 1.690000-5 1.204632+7 1.698244-5 1.200101+7 1.770000-5 1.162429+7 1.830000-5 1.127488+7 1.850000-5 1.116357+7 1.883649-5 1.095335+7 1.927525-5 1.069107+7 1.929400-5 1.067864+7 1.990000-5 1.029129+7 2.018366-5 1.011902+7 2.041738-5 9.963529+6 2.090000-5 9.655640+6 2.113489-5 9.511884+6 2.137962-5 9.349667+6 2.190000-5 9.019973+6 2.213095-5 8.879946+6 2.250000-5 8.642878+6 2.300000-5 8.337811+6 2.317395-5 8.235794+6 2.350000-5 8.034296+6 2.420000-5 7.627164+6 2.426610-5 7.590419+6 2.450000-5 7.458721+6 2.483133-5 7.270306+6 2.540000-5 6.963593+6 2.540000-5 7.668432+6 2.540973-5 7.663262+6 2.591000-5 7.397799+6 2.600160-5 7.349007+6 2.610000-5 7.296542+6 2.691535-5 6.883880+6 2.700000-5 6.842114+6 2.726000-5 6.715484+6 2.726000-5 7.182239+6 2.754229-5 7.049987+6 2.786121-5 6.900938+6 2.790000-5 6.883180+6 2.851018-5 6.610275+6 2.860000-5 6.570823+6 2.900000-5 6.398264+6 2.951209-5 6.188012+6 2.960000-5 6.152090+6 3.019952-5 5.914575+6 3.162278-5 5.401727+6 3.198895-5 5.279627+6 3.235937-5 5.160728+6 3.300000-5 4.961975+6 3.388442-5 4.710593+6 3.427678-5 4.606625+6 3.467369-5 4.504609+6 3.548134-5 4.305969+6 3.555800-5 4.288081+6 3.672823-5 4.035077+6 3.690000-5 4.000115+6 3.730000-5 3.921795+6 3.770000-5 3.845214+6 3.801894-5 3.787398+6 3.810000-5 3.773181+6 3.810000-5 1.232198+7 3.880000-5 1.181548+7 3.890451-5 1.173500+7 3.935501-5 1.139920+7 3.970000-5 1.115168+7 4.000000-5 1.092994+7 4.030000-5 1.071530+7 4.073803-5 1.041463+7 4.120975-5 1.009372+7 4.150000-5 9.904996+6 4.220000-5 9.474550+6 4.265795-5 9.200301+6 4.300000-5 9.004987+6 4.350000-5 8.730979+6 4.400000-5 8.473045+6 4.415704-5 8.395253+6 4.466836-5 8.150799+6 4.500000-5 7.994240+6 4.518559-5 7.909699+6 4.570882-5 7.680487+6 4.634000-5 7.419931+6 4.634000-5 1.121137+7 4.650000-5 1.113159+7 4.677351-5 1.099958+7 4.700000-5 1.089292+7 4.731513-5 1.073551+7 4.760000-5 1.059432+7 4.800000-5 1.039154+7 4.841724-5 1.018845+7 4.850000-5 1.014715+7 4.954502-5 9.656927+6 5.011872-5 9.398648+6 5.069907-5 9.148345+6 5.128614-5 8.909152+6 5.150000-5 8.822782+6 5.300000-5 8.271214+6 5.308844-5 8.241371+6 5.400000-5 7.941010+6 5.432503-5 7.839789+6 5.500000-5 7.640332+6 5.650000-5 7.237184+6 5.688529-5 7.144382+6 5.730000-5 7.047809+6 5.754399-5 6.991636+6 6.000000-5 6.508144+6 6.025596-5 6.464268+6 6.095369-5 6.349293+6 6.237348-5 6.144620+6 6.309573-5 6.056318+6 6.382635-5 5.973927+6 6.400000-5 5.955533+6 6.456542-5 5.896132+6 6.500000-5 5.853749+6 6.683439-5 5.703404+6 6.760830-5 5.654555+6 6.800000-5 5.631694+6 6.839116-5 5.609154+6 6.918310-5 5.568257+6 7.079458-5 5.504119+6 7.161434-5 5.482022+6 7.244360-5 5.463733+6 7.256000-5 5.461219+6 7.256000-5 5.522437+6 7.360000-5 5.502479+6 7.413102-5 5.495577+6 7.450000-5 5.492362+6 7.500000-5 5.489650+6 7.550000-5 5.488569+6 7.673615-5 5.492978+6 7.762471-5 5.500172+6 7.800000-5 5.503196+6 7.852356-5 5.509696+6 7.950000-5 5.525237+6 8.080000-5 5.553050+6 8.128305-5 5.565358+6 8.150000-5 5.570681+6 8.222426-5 5.590479+6 8.230000-5 5.592388+6 8.413951-5 5.645384+6 8.511380-5 5.678597+6 8.609938-5 5.716055+6 8.650000-5 5.731005+6 8.709636-5 5.754159+6 8.912509-5 5.830784+6 9.015711-5 5.874215+6 9.120108-5 5.917380+6 9.150000-5 5.930243+6 9.225714-5 5.960253+6 9.300000-5 5.990627+6 9.500000-5 6.078245+6 9.549926-5 6.099378+6 9.660509-5 6.142581+6 9.800000-5 6.200025+6 9.950000-5 6.264602+6 1.000000-4 6.284979+6 1.040000-4 6.438181+6 1.047129-4 6.464749+6 1.052000-4 6.483150+6 1.060000-4 6.509889+6 1.083927-4 6.591915+6 1.100000-4 6.644074+6 1.109175-4 6.670224+6 1.122018-4 6.707601+6 1.135011-4 6.746264+6 1.161449-4 6.818311+6 1.174898-4 6.850342+6 1.202264-4 6.917701+6 1.230269-4 6.979662+6 1.240000-4 6.998191+6 1.273503-4 7.063280+6 1.288250-4 7.088314+6 1.288400-4 7.088568+6 1.303167-4 7.114021+6 1.350000-4 7.180113+6 1.364583-4 7.197508+6 1.380384-4 7.216770+6 1.400000-4 7.234679+6 1.412538-4 7.246217+6 1.430000-4 7.262377+6 1.440000-4 7.269338+6 1.450000-4 7.276340+6 1.462177-4 7.284990+6 1.480000-4 7.291764+6 1.500000-4 7.299508+6 1.513561-4 7.304930+6 1.515000-4 7.305126+6 1.545000-4 7.309391+6 1.548817-4 7.309957+6 1.566751-4 7.306423+6 1.584893-4 7.303124+6 1.603245-4 7.299955+6 1.611900-4 7.296390+6 1.625000-4 7.291081+6 1.640590-4 7.284885+6 1.659587-4 7.272026+6 1.678804-4 7.259326+6 1.698244-4 7.246729+6 1.717908-4 7.229982+6 1.720000-4 7.228219+6 1.735900-4 7.214999+6 1.737801-4 7.213431+6 1.757924-4 7.191509+6 1.760000-4 7.189270+6 1.778279-4 7.169645+6 1.798871-4 7.147883+6 1.800000-4 7.146701+6 1.819701-4 7.122644+6 1.840772-4 7.097421+6 1.844600-4 7.092885+6 1.850000-4 7.086511+6 1.883649-4 7.039308+6 1.905461-4 7.009374+6 1.927525-4 6.976132+6 1.949845-4 6.943087+6 1.972423-4 6.910209+6 1.980000-4 6.899303+6 2.000000-4 6.866859+6 2.018366-4 6.837486+6 2.041738-4 6.800613+6 2.065380-4 6.760377+6 2.089296-4 6.720409+6 2.113489-4 6.680749+6 2.137962-4 6.636394+6 2.147100-4 6.620045+6 2.147100-4 6.916830+6 2.162719-4 6.896987+6 2.187762-4 6.862538+6 2.213095-4 6.828928+6 2.238721-4 6.796297+6 2.251400-4 6.778483+6 2.255900-4 6.771717+6 2.255900-4 6.968828+6 2.267000-4 6.956410+6 2.280000-4 6.940249+6 2.290868-4 6.925186+6 2.295000-4 6.919520+6 2.301000-4 6.910301+6 2.310000-4 6.895434+6 2.325000-4 6.868713+6 2.344229-4 6.832456+6 2.350000-4 6.821059+6 2.363000-4 6.794943+6 2.371374-4 6.777597+6 2.385000-4 6.746173+6 2.398833-4 6.712405+6 2.400000-4 6.709581+6 2.410000-4 6.684385+6 2.415000-4 6.671592+6 2.426610-4 6.641008+6 2.428000-4 6.637195+6 2.442000-4 6.597940+6 2.454709-4 6.561841+6 2.458000-4 6.552449+6 2.480000-4 6.488933+6 2.483133-4 6.479827+6 2.500000-4 6.431371+6 2.511886-4 6.397226+6 2.530000-4 6.343409+6 2.540973-4 6.310879+6 2.570396-4 6.225689+6 2.580000-4 6.198191+6 2.615000-4 6.097910+6 2.630268-4 6.055864+6 2.650000-4 6.002324+6 2.660725-4 5.974107+6 2.685300-4 5.910567+6 2.691535-4 5.894939+6 2.705700-4 5.858046+6 2.715000-4 5.834262+6 2.730000-4 5.796840+6 2.740000-4 5.772186+6 2.754229-4 5.737931+6 2.765000-4 5.711549+6 2.790000-4 5.652003+6 2.818383-4 5.587483+6 2.830000-4 5.561888+6 2.851018-4 5.516736+6 2.865000-4 5.486098+6 2.884032-4 5.445411+6 2.890000-4 5.432767+6 2.900000-4 5.412064+6 2.917427-4 5.376763+6 2.930000-4 5.350592+6 2.965000-4 5.280834+6 3.000000-4 5.214532+6 3.019952-4 5.178385+6 3.040000-4 5.142630+6 3.054921-4 5.116684+6 3.080000-4 5.071855+6 3.126079-4 4.992664+6 3.180000-4 4.901508+6 3.198895-4 4.870856+6 3.200000-4 4.869079+6 3.235937-4 4.812440+6 3.240000-4 4.805772+6 3.311311-4 4.693565+6 3.388442-4 4.576101+6 3.430000-4 4.516177+6 3.442200-4 4.499059+6 3.467369-4 4.464029+6 3.548134-4 4.351132+6 3.550000-4 4.348515+6 3.589219-4 4.293948+6 3.630781-4 4.238201+6 3.672823-4 4.183854+6 3.680000-4 4.174325+6 3.758200-4 4.072942+6 3.758200-4 4.324598+6 3.758374-4 4.324376+6 3.780000-4 4.297025+6 3.801894-4 4.269011+6 3.930000-4 4.111603+6 3.935501-4 4.105110+6 3.981072-4 4.049638+6 4.027170-4 3.995570+6 4.050000-4 3.968696+6 4.073803-4 3.940765+6 4.168694-4 3.833350+6 4.200000-4 3.798349+6 4.216965-4 3.779418+6 4.265795-4 3.725728+6 4.350000-4 3.635424+6 4.352700-4 3.632572+6 4.352700-4 3.689819+6 4.365158-4 3.676721+6 4.466836-4 3.572008+6 4.500000-4 3.538120+6 4.518559-4 3.519187+6 4.677351-4 3.360931+6 4.731513-4 3.309418+6 4.786301-4 3.259118+6 4.841724-4 3.208736+6 4.850000-4 3.201216+6 4.897788-4 3.157606+6 5.011872-4 3.058702+6 5.069907-4 3.009861+6 5.128614-4 2.960575+6 5.150000-4 2.943054+6 5.230000-4 2.878143+6 5.248075-4 2.863538+6 5.256900-4 2.856460+6 5.256900-4 2.927961+6 5.308844-4 2.886686+6 5.432503-4 2.793270+6 5.495409-4 2.747010+6 5.500000-4 2.743697+6 5.559043-4 2.700446+6 5.650000-4 2.635243+6 5.688529-4 2.608234+6 5.754399-4 2.562649+6 5.821032-4 2.518148+6 5.888437-4 2.474566+6 5.900000-4 2.467243+6 5.956621-4 2.431648+6 6.025596-4 2.387562+6 6.165950-4 2.302339+6 6.200000-4 2.282562+6 6.237348-4 2.261016+6 6.382635-4 2.179559+6 6.456542-4 2.139094+6 6.531306-4 2.099600+6 6.600000-4 2.064200+6 6.606934-4 2.060638+6 6.683439-4 2.021912+6 6.700000-4 2.013709+6 6.839116-4 1.947133+6 6.850000-4 1.942099+6 6.918310-4 1.910237+6 7.000000-4 1.872380+6 7.161434-4 1.801428+6 7.244360-4 1.766654+6 7.328245-4 1.732376+6 7.413102-4 1.698429+6 7.500000-4 1.664382+6 7.673615-4 1.599060+6 7.762471-4 1.567075+6 7.800000-4 1.553909+6 7.852356-4 1.535536+6 7.943282-4 1.504525+6 8.000000-4 1.485738+6 8.035261-4 1.474254+6 8.128305-4 1.444692+6 8.222426-4 1.415209+6 8.317638-4 1.386113+6 8.413951-4 1.357367+6 8.609938-4 1.301968+6 8.700000-4 1.277602+6 8.810489-4 1.248644+6 8.912509-4 1.222264+6 9.120108-4 1.171062+6 9.332543-4 1.121963+6 9.440609-4 1.098284+6 9.500000-4 1.085465+6 9.549926-4 1.074834+6 9.660509-4 1.051657+6 9.772372-4 1.028894+6 9.885531-4 1.006517+6 1.011579-3 9.634447+5 1.023293-3 9.424176+5 1.035142-3 9.219190+5 1.047129-3 9.018855+5 1.050000-3 8.971376+5 1.059254-3 8.819765+5 1.071519-3 8.624089+5 1.083927-3 8.433384+5 1.109175-3 8.062172+5 1.110000-3 8.050500+5 1.122018-3 7.883159+5 1.148154-3 7.535627+5 1.150000-3 7.511872+5 1.161449-3 7.367091+5 1.174898-3 7.199064+5 1.202264-3 6.875842+5 1.216186-3 6.720412+5 1.258925-3 6.273024+5 1.273503-3 6.128866+5 1.288250-3 5.987710+5 1.303167-3 5.849393+5 1.318257-3 5.713541+5 1.333521-3 5.581208+5 1.350000-3 5.443438+5 1.364583-3 5.326002+5 1.380384-3 5.201812+5 1.396368-3 5.080238+5 1.412538-3 4.961346+5 1.428894-3 4.844677+5 1.445440-3 4.730509+5 1.450000-3 4.699794+5 1.462177-3 4.619031+5 1.479108-3 4.510291+5 1.513561-3 4.298911+5 1.531087-3 4.196894+5 1.548817-3 4.096698+5 1.566751-3 3.999140+5 1.584893-3 3.903847+5 1.603245-3 3.810632+5 1.610000-3 3.777129+5 1.621810-3 3.718983+5 1.650000-3 3.585706+5 1.659587-3 3.542002+5 1.668700-3 3.500915+5 1.668700-3 1.016868+6 1.678804-3 1.009185+6 1.717908-3 9.805198+5 1.725500-3 9.751463+5 1.725500-3 1.259619+6 1.737801-3 1.262002+6 1.748000-3 1.264355+6 1.757924-3 1.267520+6 1.778279-3 1.275049+6 1.785000-3 1.277861+6 1.794000-3 1.279777+6 1.800000-3 1.280327+6 1.805000-3 1.280473+6 1.813000-3 1.280039+6 1.819701-3 1.278508+6 1.820000-3 1.278441+6 1.840772-3 1.264007+6 1.850000-3 1.257271+6 1.862087-3 1.247700+6 1.875000-3 1.236215+6 1.883649-3 1.227138+6 1.890000-3 1.220564+6 1.900000-3 1.208220+6 1.905461-3 1.201566+6 1.927525-3 1.167648+6 1.950000-3 1.134479+6 1.972423-3 1.102690+6 2.000000-3 1.065251+6 2.018366-3 1.041288+6 2.041738-3 1.011885+6 2.065380-3 9.833278+5 2.089296-3 9.555755+5 2.099000-3 9.446071+5 2.099000-3 1.089654+6 2.137962-3 1.043892+6 2.150000-3 1.030325+6 2.162719-3 1.016248+6 2.200000-3 9.765637+5 2.213095-3 9.630947+5 2.220000-3 9.561021+5 2.238721-3 9.372973+5 2.264644-3 9.119258+5 2.290868-3 8.872265+5 2.317395-3 8.632161+5 2.358100-3 8.281730+5 2.358100-3 8.780375+5 2.371374-3 8.667854+5 2.426610-3 8.218756+5 2.454709-3 8.003404+5 2.483133-3 7.791350+5 2.511886-3 7.583689+5 2.540973-3 7.380072+5 2.570396-3 7.181722+5 2.576000-3 7.144828+5 2.576000-3 7.452746+5 2.600160-3 7.293961+5 2.660725-3 6.917120+5 2.691535-3 6.736576+5 2.700000-3 6.687451+5 2.722701-3 6.557913+5 2.754229-3 6.382856+5 2.786121-3 6.212539+5 2.818383-3 6.046392+5 2.851018-3 5.884470+5 2.884032-3 5.726779+5 2.917427-3 5.573547+5 2.951209-3 5.424666+5 2.985383-3 5.279960+5 3.000000-3 5.219136+5 3.019952-3 5.137671+5 3.054921-3 4.998396+5 3.090295-3 4.863150+5 3.126079-3 4.731190+5 3.162278-3 4.602332+5 3.198895-3 4.477035+5 3.235937-3 4.355214+5 3.273407-3 4.236903+5 3.311311-3 4.121863+5 3.349654-3 4.009501+5 3.388442-3 3.900386+5 3.400000-3 3.868721+5 3.427678-3 3.793792+5 3.507519-3 3.589189+5 3.548134-3 3.490078+5 3.589219-3 3.393861+5 3.630781-3 3.300442+5 3.672823-3 3.209661+5 3.715352-3 3.119884+5 3.758374-3 3.032638+5 3.801894-3 2.947973+5 3.845918-3 2.865275+5 3.850000-3 2.857774+5 3.935501-3 2.706919+5 3.981072-3 2.631236+5 4.000000-3 2.600603+5 4.027170-3 2.557537+5 4.120975-3 2.416541+5 4.168694-3 2.349080+5 4.216965-3 2.283306+5 4.265795-3 2.219430+5 4.300000-3 2.176107+5 4.400000-3 2.056258+5 4.415704-3 2.038218+5 4.518559-3 1.924356+5 4.570882-3 1.869962+5 4.623810-3 1.817186+5 4.677351-3 1.765690+5 4.731513-3 1.715642+5 4.800000-3 1.654763+5 4.841724-3 1.619152+5 4.897788-3 1.573003+5 4.954502-3 1.528034+5 5.011872-3 1.484275+5 5.069907-3 1.441832+5 5.128614-3 1.400666+5 5.188000-3 1.360741+5 5.308844-3 1.284307+5 5.370318-3 1.247537+5 5.432503-3 1.211718+5 5.559043-3 1.143169+5 5.623413-3 1.110235+5 5.688529-3 1.078287+5 5.800000-3 1.026611+5 5.821032-3 1.017259+5 5.888437-3 9.879974+4 5.956621-3 9.594988+4 6.025596-3 9.316647+4 6.095369-3 9.046077+4 6.165950-3 8.783745+4 6.237348-3 8.529246+4 6.309573-3 8.282206+4 6.382635-3 8.042666+4 6.456542-3 7.809359+4 6.531306-3 7.582833+4 6.606934-3 7.362931+4 6.683439-3 7.148836+4 6.760830-3 6.941167+4 6.839116-3 6.738808+4 6.918310-3 6.541985+4 7.000000-3 6.347503+4 7.079458-3 6.166104+4 7.161434-3 5.985711+4 7.244360-3 5.810748+4 7.328245-3 5.641010+4 7.413102-3 5.476486+4 7.500000-3 5.314610+4 7.585776-3 5.160477+4 7.852356-3 4.718110+4 7.943282-3 4.579640+4 8.000000-3 4.496144+4 8.035261-3 4.445331+4 8.128305-3 4.315010+4 8.222426-3 4.187892+4 8.300000-3 4.087125+4 8.511380-3 3.828506+4 8.609938-3 3.715898+4 8.709636-3 3.605774+4 8.912509-3 3.395625+4 9.000000-3 3.310388+4 9.015711-3 3.295395+4 9.120108-3 3.198141+4 9.225714-3 3.103576+4 9.332543-3 3.011822+4 9.549926-3 2.835633+4 9.558300-3 2.829108+4 9.558300-3 7.483190+4 9.642000-3 7.336263+4 9.660509-3 7.300990+4 9.850000-3 6.953246+4 9.885531-3 6.886579+4 1.000000-2 6.677558+4 1.011579-2 6.474995+4 1.023293-2 6.278579+4 1.035142-2 6.088178+4 1.040000-2 6.012434+4 1.047129-2 5.903469+4 1.071519-2 5.550002+4 1.076300-2 5.484178+4 1.076300-2 7.566784+4 1.083927-2 7.432125+4 1.096478-2 7.215797+4 1.107000-2 7.041226+4 1.122018-2 6.794003+4 1.124500-2 6.754289+4 1.124500-2 7.813199+4 1.135011-2 7.627583+4 1.141500-2 7.516060+4 1.148154-2 7.407178+4 1.161449-2 7.196216+4 1.174898-2 6.991420+4 1.175000-2 6.989889+4 1.188502-2 6.789552+4 1.190000-2 6.767824+4 1.200000-2 6.625051+4 1.202264-2 6.593524+4 1.230269-2 6.220408+4 1.244515-2 6.039938+4 1.258925-2 5.862983+4 1.273503-2 5.691341+4 1.288250-2 5.524853+4 1.303167-2 5.363271+4 1.318257-2 5.206543+4 1.333521-2 5.054496+4 1.348963-2 4.906878+4 1.350000-2 4.897181+4 1.364583-2 4.764174+4 1.380384-2 4.624533+4 1.400000-2 4.457836+4 1.412538-2 4.355576+4 1.428894-2 4.227107+4 1.445440-2 4.102450+4 1.450000-2 4.069011+4 1.462177-2 3.980996+4 1.479108-2 3.863001+4 1.496236-2 3.748556+4 1.500000-2 3.724049+4 1.513561-2 3.637590+4 1.531087-2 3.529893+4 1.548817-2 3.424885+4 1.580000-2 3.249701+4 1.584893-2 3.223326+4 1.603245-2 3.126994+4 1.640590-2 2.942726+4 1.659587-2 2.854812+4 1.698244-2 2.687604+4 1.717908-2 2.607755+4 1.737801-2 2.530304+4 1.770000-2 2.411524+4 1.798871-2 2.310704+4 1.819701-2 2.241468+4 1.840772-2 2.174264+4 1.850000-2 2.145711+4 1.862087-2 2.108682+4 1.883649-2 2.044817+4 1.905461-2 1.982926+4 1.972423-2 1.808559+4 1.995262-2 1.753996+4 2.000000-2 1.742953+4 2.018366-2 1.701043+4 2.041738-2 1.649682+4 2.065380-2 1.599915+4 2.080000-2 1.570189+4 2.089296-2 1.551550+4 2.113489-2 1.504416+4 2.137962-2 1.458742+4 2.162719-2 1.414489+4 2.213095-2 1.330077+4 2.264644-2 1.250839+4 2.290868-2 1.212754+4 2.344229-2 1.140034+4 2.371374-2 1.105082+4 2.400000-2 1.069816+4 2.426610-2 1.038362+4 2.454709-2 1.006525+4 2.483133-2 9.756882+3 2.570396-2 8.888667+3 2.576800-2 8.829268+3 2.600160-2 8.616637+3 2.630268-2 8.352944+3 2.660725-2 8.095936+3 2.691535-2 7.847038+3 2.722701-2 7.605989+3 2.754229-2 7.372528+3 2.818383-2 6.926886+3 2.851018-2 6.714237+3 2.884032-2 6.508275+3 2.917427-2 6.308797+3 3.019952-2 5.739937+3 3.054921-2 5.562029+3 3.090295-2 5.389771+3 3.126079-2 5.222972+3 3.162278-2 5.061459+3 3.235937-2 4.753313+3 3.273407-2 4.606525+3 3.311311-2 4.463770+3 3.349654-2 4.325388+3 3.388442-2 4.191368+3 3.507519-2 3.814287+3 3.548134-2 3.695537+3 3.630781-2 3.468232+3 3.672823-2 3.360003+3 3.758374-2 3.153599+3 3.801894-2 3.055316+3 3.845918-2 2.960165+3 3.890451-2 2.868048+3 3.981072-2 2.692328+3 4.000000-2 2.657513+3 4.027170-2 2.608614+3 4.073803-2 2.527148+3 4.120975-2 2.448015+3 4.315191-2 2.155766+3 4.365158-2 2.088137+3 4.415704-2 2.022680+3 4.570882-2 1.838631+3 4.677351-2 1.724711+3 4.731513-2 1.670477+3 4.786301-2 1.617971+3 4.841724-2 1.567140+3 4.897788-2 1.517938+3 4.954502-2 1.470275+3 5.011872-2 1.424138+3 5.069907-2 1.379476+3 5.188000-2 1.294129+3 5.248075-2 1.253498+3 5.308844-2 1.214055+3 5.370318-2 1.175881+3 5.495409-2 1.102592+3 5.623413-2 1.033956+3 5.821032-2 9.390340+2 5.888437-2 9.094050+2 6.025596-2 8.529475+2 6.165950-2 8.000289+2 6.309573-2 7.504563+2 6.382635-2 7.266972+2 6.456542-2 7.036742+2 6.531306-2 6.813504+2 6.548200-2 6.764298+2 6.548200-2 3.492598+3 6.683439-2 3.315363+3 6.740000-2 3.244957+3 6.760830-2 3.220020+3 6.830000-2 3.139120+3 6.918310-2 3.031144+3 6.950000-2 2.993638+3 7.161434-2 2.775084+3 7.244360-2 2.695457+3 7.300000-2 2.643810+3 7.328245-2 2.616875+3 7.413102-2 2.538194+3 7.585776-2 2.387692+3 7.762471-2 2.246117+3 7.852356-2 2.178522+3 7.943282-2 2.112970+3 8.035261-2 2.050204+3 8.222426-2 1.930228+3 8.317638-2 1.872910+3 8.609938-2 1.711010+3 8.810489-2 1.610945+3 9.015711-2 1.516640+3 9.120108-2 1.470683+3 9.225714-2 1.426124+3 9.332543-2 1.382917+3 9.549926-2 1.300402+3 9.772372-2 1.222827+3 9.800000-2 1.213640+3 1.011580-1 1.114346+3 1.047129-1 1.015460+3 1.059254-1 9.844948+2 1.071519-1 9.544425+2 1.073540-1 9.496120+2 1.083927-1 9.253081+2 1.096478-1 8.970670+2 1.109175-1 8.696889+2 1.161449-1 7.682841+2 1.202264-1 7.000894+2 1.230269-1 6.575876+2 1.244515-1 6.373162+2 1.258925-1 6.176725+2 1.273503-1 5.986344+2 1.288250-1 5.801843+2 1.303167-1 5.623051+2 1.318257-1 5.449595+2 1.333521-1 5.281511+2 1.355400-1 5.052779+2 1.412538-1 4.516074+2 1.428894-1 4.376890+2 1.445440-1 4.242000+2 1.500000-1 3.835457+2 1.513561-1 3.742747+2 1.531088-1 3.627413+2 1.548817-1 3.515646+2 1.566751-1 3.407331+2 1.584893-1 3.302140+2 1.603245-1 3.200209+2 1.621810-1 3.101428+2 1.640590-1 3.005702+2 1.659587-1 2.912941+2 1.678804-1 2.823054+2 1.717908-1 2.651635+2 1.737801-1 2.569873+2 1.757924-1 2.490637+2 1.778279-1 2.413853+2 1.798871-1 2.339435+2 1.819701-1 2.267317+2 1.883649-1 2.064050+2 1.949845-1 1.879032+2 1.972423-1 1.821128+2 2.000000-1 1.753672+2 2.018366-1 1.710648+2 2.041738-1 1.657983+2 2.065380-1 1.606944+2 2.089296-1 1.557478+2 2.113489-1 1.509537+2 2.187762-1 1.374397+2 2.213095-1 1.332098+2 2.238721-1 1.291104+2 2.264644-1 1.251372+2 2.317395-1 1.176284+2 2.344229-1 1.140463+2 2.371374-1 1.105733+2 2.398833-1 1.072069+2 2.400000-1 1.070669+2 2.426610-1 1.039442+2 2.454709-1 1.007811+2 2.483133-1 9.771449+1 2.600160-1 8.635652+1 2.630268-1 8.373276+1 2.660725-1 8.118879+1 2.691535-1 7.872310+1 2.722701-1 7.633243+1 2.754229-1 7.401459+1 2.786121-1 7.179663+1 2.818383-1 6.964619+1 2.851018-1 6.756027+1 2.951209-1 6.167031+1 2.985383-1 5.982349+1 3.000000-1 5.905682+1 3.019952-1 5.803205+1 3.054921-1 5.629499+1 3.090295-1 5.461008+1 3.162278-1 5.139138+1 3.198895-1 4.985633+1 3.235937-1 4.839019+1 3.273407-1 4.696724+1 3.311311-1 4.558620+1 3.349654-1 4.424580+1 3.388442-1 4.294482+1 3.467369-1 4.045759+1 3.548134-1 3.811480+1 3.589219-1 3.699482+1 3.630781-1 3.590775+1 3.672823-1 3.485370+1 3.715352-1 3.384829+1 3.758374-1 3.287371+1 3.801894-1 3.192722+1 3.890451-1 3.011600+1 3.935501-1 2.924940+1 4.000000-1 2.806812+1 4.027170-1 2.759039+1 4.120975-1 2.602552+1 4.168694-1 2.527712+1 4.216965-1 2.456486+1 4.265795-1 2.387298+1 4.315191-1 2.320060+1 4.365158-1 2.254862+1 4.466836-1 2.129912+1 4.518559-1 2.070061+1 4.570882-1 2.011892+1 4.623810-1 1.955359+1 4.677351-1 1.900469+1 4.731513-1 1.847120+1 4.786301-1 1.796298+1 4.897788-1 1.698880+1 4.954502-1 1.652172+1 5.011872-1 1.606858+1 5.069907-1 1.562788+1 5.128614-1 1.519927+1 5.188000-1 1.478260+1 5.248075-1 1.437759+1 5.308844-1 1.398375+1 5.370318-1 1.360891+1 5.432503-1 1.324413+1 5.495409-1 1.288934+1 5.559043-1 1.254407+1 5.623413-1 1.220806+1 5.688529-1 1.188185+1 5.754399-1 1.156448+1 5.821032-1 1.125575+1 5.888437-1 1.095532+1 5.956621-1 1.066294+1 6.000000-1 1.048679+1 6.025596-1 1.038481+1 6.095369-1 1.011394+1 6.237348-1 9.593591+0 6.382635-1 9.100226+0 6.456542-1 8.863880+0 6.531306-1 8.633726+0 6.606935-1 8.409559+0 6.683439-1 8.191217+0 6.760830-1 7.983589+0 6.839117-1 7.781227+0 6.918310-1 7.584077+0 7.079458-1 7.204910+0 7.161434-1 7.022504+0 7.244360-1 6.844759+0 7.328245-1 6.671998+0 7.413102-1 6.503667+0 7.498942-1 6.339584+0 7.585776-1 6.183543+0 7.673615-1 6.031345+0 7.762471-1 5.882895+0 7.852356-1 5.738197+0 7.943282-1 5.597070+0 8.000000-1 5.511601+0 8.035261-1 5.459425+0 8.128305-1 5.325251+0 8.317638-1 5.067449+0 8.413951-1 4.946402+0 8.511380-1 4.828248+0 8.609938-1 4.712918+0 8.709636-1 4.600418+0 8.912509-1 4.383778+0 9.015711-1 4.279318+0 9.120108-1 4.177662+0 9.225714-1 4.078423+0 9.332543-1 3.984256+0 9.440609-1 3.892283+0 9.549926-1 3.802503+0 9.660509-1 3.714794+0 9.772372-1 3.629196+0 9.885531-1 3.545635+0 1.000000+0 3.464004+0 1.011579+0 3.384511+0 1.023293+0 3.306886+0 1.035142+0 3.232724+0 1.047129+0 3.160223+0 1.059254+0 3.089397+0 1.071519+0 3.020161+0 1.083927+0 2.952474+0 1.096478+0 2.886307+0 1.109175+0 2.821629+0 1.135011+0 2.696748+0 1.148154+0 2.636397+0 1.161449+0 2.577434+0 1.174898+0 2.519946+0 1.202264+0 2.411322+0 1.216186+0 2.358782+0 1.230269+0 2.307419+0 1.244515+0 2.257174+0 1.250000+0 2.238272+0 1.258925+0 2.208028+0 1.273503+0 2.160021+0 1.288250+0 2.113058+0 1.303167+0 2.067120+0 1.318257+0 2.022319+0 1.333521+0 1.979664+0 1.348963+0 1.937928+0 1.380384+0 1.857082+0 1.396368+0 1.817934+0 1.412538+0 1.779626+0 1.428894+0 1.742129+0 1.462177+0 1.669550+0 1.479108+0 1.634404+0 1.496236+0 1.600114+0 1.513561+0 1.567532+0 1.531087+0 1.535624+0 1.584893+0 1.443744+0 1.603245+0 1.414356+0 1.640590+0 1.357411+0 1.659587+0 1.329807+0 1.678804+0 1.302852+0 1.698244+0 1.277200+0 1.717908+0 1.252055+0 1.737801+0 1.227406+0 1.798871+0 1.156371+0 1.819701+0 1.133619+0 1.840772+0 1.111335+0 1.862087+0 1.089488+0 1.883649+0 1.068073+0 1.905461+0 1.047147+0 1.927525+0 1.027229+0 1.949845+0 1.007690+0 1.972423+0 9.885258-1 2.018366+0 9.513045-1 2.044000+0 9.315013-1 2.065380+0 9.154841-1 2.113489+0 8.810425-1 2.137962+0 8.643118-1 2.162719+0 8.479515-1 2.187762+0 8.323564-1 2.213095+0 8.170484-1 2.238721+0 8.020241-1 2.290868+0 7.728138-1 2.317395+0 7.586102-1 2.344229+0 7.446677-1 2.371374+0 7.309910-1 2.426610+0 7.043914-1 2.454709+0 6.914575-1 2.483133+0 6.788029-1 2.511886+0 6.667388-1 2.540973+0 6.548890-1 2.570396+0 6.432516-1 2.630268+0 6.206057-1 2.660725+0 6.095834-1 2.691535+0 5.987569-1 2.722701+0 5.881305-1 2.786121+0 5.674433-1 2.818383+0 5.573747-1 2.851018+0 5.475169-1 2.884032+0 5.381079-1 2.917427+0 5.288611-1 2.951209+0 5.197743-1 3.019952+0 5.020757-1 3.054921+0 4.934538-1 3.090295+0 4.849800-1 3.126079+0 4.766577-1 3.198895+0 4.604417-1 3.235937+0 4.525422-1 3.273407+0 4.448036-1 3.311311+0 4.374108-1 3.349654+0 4.301440-1 3.388442+0 4.229978-1 3.427678+0 4.159714-1 3.507519+0 4.022742-1 3.548134+0 3.955956-1 3.589219+0 3.890281-1 3.630781+0 3.825740-1 3.715352+0 3.699879-1 3.758374+0 3.638512-1 3.801894+0 3.578359-1 3.845918+0 3.520861-1 3.890451+0 3.464313-1 3.935501+0 3.408671-1 4.000000+0 3.331635-1 4.073803+0 3.247119-1 4.120975+0 3.195002-1 4.168694+0 3.143721-1 4.216965+0 3.093299-1 4.315191+0 2.994884-1 4.365158+0 2.946861-1 4.415704+0 2.899756-1 4.518559+0 2.810263-1 4.570882+0 2.766576-1 4.623810+0 2.723568-1 4.677351+0 2.681234-1 4.786301+0 2.598570-1 4.841724+0 2.558199-1 4.897788+0 2.518455-1 5.000000+0 2.448742-1 5.128614+0 2.365671-1 5.188000+0 2.328951-1 5.248075+0 2.292912-1 5.370318+0 2.224381-1 5.432503+0 2.190902-1 5.495409+0 2.157926-1 5.559043+0 2.125451-1 5.688529+0 2.061992-1 5.754399+0 2.030976-1 5.821032+0 2.000427-1 5.956621+0 1.940743-1 6.095369+0 1.882849-1 6.165950+0 1.854555-1 6.237348+0 1.826778-1 6.382635+0 1.774006-1 6.456542+0 1.748205-1 6.531306+0 1.722779-1 6.606934+0 1.697727-1 6.760830+0 1.648733-1 6.839116+0 1.624769-1 6.918310+0 1.601153-1 7.161434+0 1.532390-1 7.328245+0 1.488203-1 7.498942+0 1.445293-1 7.585776+0 1.424371-1 7.762471+0 1.384570-1 7.852356+0 1.365097-1 7.943282+0 1.345898-1 8.000000+0 1.334170-1 8.128305+0 1.308326-1 8.222427+0 1.289937-1 8.317638+0 1.271808-1 8.511380+0 1.236334-1 8.709636+0 1.201855-1 9.015711+0 1.151933-1 9.225714+0 1.119889-1 9.549926+0 1.074502-1 9.772372+0 1.045281-1 1.000000+1 1.016854-1 1.011579+1 1.002934-1 1.023293+1 9.892090-2 1.047129+1 9.623212-2 1.059254+1 9.491531-2 1.083927+1 9.233708-2 1.100000+1 9.072597-2 1.122018+1 8.860118-2 1.148154+1 8.620194-2 1.174898+1 8.392777-2 1.202264+1 8.171450-2 1.230269+1 7.955948-2 1.244515+1 7.850350-2 1.258925+1 7.746208-2 1.288250+1 7.542031-2 1.300000+1 7.463010-2 1.303167+1 7.441975-2 1.348963+1 7.149860-2 1.380384+1 6.961543-2 1.412538+1 6.778189-2 1.462177+1 6.512859-2 1.500000+1 6.327692-2 1.531087+1 6.182833-2 1.566751+1 6.024173-2 1.584893+1 5.946386-2 1.603245+1 5.869634-2 1.640590+1 5.719086-2 1.659587+1 5.645269-2 1.737801+1 5.359551-2 1.778279+1 5.222182-2 1.819701+1 5.088336-2 1.905461+1 4.831462-2 1.949845+1 4.710552-2 2.000000+1 4.580738-2 2.041738+1 4.477809-2 2.065380+1 4.421448-2 2.089296+1 4.365818-2 2.137962+1 4.256649-2 2.162719+1 4.203092-2 2.290868+1 3.945381-2 2.317395+1 3.895772-2 2.371374+1 3.798422-2 2.540973+1 3.521265-2 2.630268+1 3.392758-2 2.660725+1 3.350985-2 2.754229+1 3.228728-2 2.851018+1 3.110933-2 2.884032+1 3.072648-2 2.917427+1 3.034836-2 2.951209+1 2.997488-2 3.019952+1 2.924200-2 3.054921+1 2.888235-2 3.090295+1 2.852713-2 3.427678+1 2.552553-2 3.467369+1 2.521658-2 3.845918+1 2.259906-2 3.981072+1 2.178857-2 4.168694+1 2.075297-2 4.265795+1 2.025378-2 4.315191+1 2.000872-2 4.365158+1 1.976670-2 4.415704+1 1.952761-2 4.466836+1 1.929152-2 4.518559+1 1.905831-2 4.897788+1 1.750581-2 4.954502+1 1.729794-2 5.011872+1 1.709255-2 5.559043+1 1.535039-2 5.821032+1 1.463434-2 6.237348+1 1.362242-2 6.456542+1 1.314301-2 6.606934+1 1.283282-2 6.683439+1 1.268049-2 6.839116+1 1.238129-2 6.918310+1 1.223434-2 6.998420+1 1.208914-2 7.079458+1 1.194567-2 7.244360+1 1.166389-2 7.328245+1 1.152552-2 7.498942+1 1.125369-2 8.413951+1 9.989622-3 8.511380+1 9.872912-3 9.015711+1 9.309503-3 9.225714+1 9.093283-3 9.660509+1 8.675798-3 9.885531+1 8.474299-3 1.035142+2 8.085251-3 1.047129+2 7.990807-3 1.096478+2 7.624026-3 1.109175+2 7.534989-3 1.122018+2 7.446998-3 1.148154+2 7.274073-3 1.174898+2 7.105168-3 1.230269+2 6.779110-3 1.244515+2 6.699961-3 1.273503+2 6.544436-3 1.348963+2 6.171232-3 1.621810+2 5.115078-3 1.640590+2 5.055421-3 1.659587+2 4.996917-3 1.778279+2 4.659840-3 1.819701+2 4.552621-3 1.905461+2 4.345531-3 1.927525+2 4.295248-3 2.065380+2 4.005543-3 2.089296+2 3.959195-3 2.187762+2 3.779126-3 2.213095+2 3.735403-3 2.238721+2 3.692187-3 2.290868+2 3.607247-3 2.344229+2 3.524263-3 2.454709+2 3.364001-3 2.483133+2 3.325088-3 2.540973+2 3.248609-3 2.691535+2 3.065023-3 3.235937+2 2.544790-3 3.273407+2 2.515378-3 3.311311+2 2.486464-3 3.548134+2 2.319822-3 3.630781+2 2.266799-3 3.801894+2 2.164361-3 3.845918+2 2.139483-3 4.120975+2 1.996109-3 4.168694+2 1.973165-3 4.365158+2 1.884005-3 4.415704+2 1.862351-3 4.466836+2 1.840947-3 4.570882+2 1.798873-3 4.677351+2 1.757761-3 9.772372+2 8.388470-4 9.885531+2 8.292067-4 1.011579+3 8.102581-4 1.071519+3 7.647585-4 1.288250+3 6.356829-4 1.303167+3 6.283809-4 1.318257+3 6.211838-4 1.412538+3 5.796999-4 1.445440+3 5.664976-4 1.513561+3 5.409882-4 1.531087+3 5.347924-4 1.640590+3 4.990795-4 1.659587+3 4.933638-4 1.737801+3 4.711486-4 1.757924+3 4.657529-4 1.778279+3 4.604192-4 1.819701+3 4.499338-4 1.862087+3 4.396874-4 6.165950+4 1.325931-5 6.237348+4 1.310747-5 6.382635+4 1.280899-5 1.000000+5 8.174032-6 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.180000-6 5.180000-6 5.750000-6 5.180000-6 5.750000-6 5.356294-6 6.860000-6 5.371910-6 6.860000-6 5.905319-6 7.500000-6 5.767308-6 7.943282-6 5.693639-6 8.500000-6 5.622449-6 9.332543-6 5.548916-6 1.050000-5 5.488536-6 1.230269-5 5.445494-6 1.531087-5 5.424607-6 2.540000-5 5.427071-6 2.540000-5 7.262870-6 2.726000-5 7.447582-6 2.726000-5 8.735138-6 3.162278-5 9.512728-6 3.388442-5 9.977871-6 3.555800-5 1.037547-5 3.730000-5 1.085423-5 3.810000-5 1.110110-5 3.810000-5 2.983252-5 4.030000-5 2.969581-5 4.634000-5 2.893577-5 4.634000-5 3.482150-5 4.850000-5 3.473265-5 5.150000-5 3.433037-5 5.500000-5 3.367034-5 6.800000-5 3.067125-5 7.256000-5 2.978462-5 7.256000-5 3.025880-5 7.762471-5 2.942101-5 8.230000-5 2.884993-5 8.709636-5 2.841401-5 9.300000-5 2.802978-5 1.000000-4 2.772224-5 1.122018-4 2.740727-5 1.303167-4 2.716471-5 1.640590-4 2.696769-5 2.147100-4 2.686665-5 2.147100-4 2.818565-5 2.255900-4 2.846367-5 2.255900-4 2.931315-5 2.325000-4 2.950088-5 2.410000-4 2.950482-5 2.540973-4 2.915324-5 2.705700-4 2.872603-5 2.851018-4 2.857566-5 3.000000-4 2.864346-5 3.200000-4 2.897758-5 3.467369-4 2.966311-5 3.758200-4 3.054476-5 3.758200-4 3.386491-5 4.352700-4 3.601784-5 4.352700-4 3.689873-5 5.150000-4 3.965886-5 5.256900-4 4.001140-5 5.256900-4 4.189048-5 5.900000-4 4.399882-5 6.700000-4 4.633438-5 7.500000-4 4.838826-5 8.413951-4 5.044163-5 9.549926-4 5.265504-5 1.083927-3 5.479365-5 1.216186-3 5.666873-5 1.396368-3 5.882076-5 1.621810-3 6.104454-5 1.668700-3 6.144906-5 1.668700-3 8.898319-5 1.725500-3 8.956108-5 1.725500-3 9.526557-5 1.813000-3 9.732448-5 1.890000-3 9.822134-5 2.099000-3 9.831245-5 2.099000-3 1.060007-4 2.358100-3 1.069574-4 2.358100-3 1.105581-4 2.576000-3 1.116405-4 2.576000-3 1.153143-4 3.273407-3 1.191841-4 4.265795-3 1.235879-4 5.370318-3 1.274955-4 6.760830-3 1.313979-4 8.511380-3 1.352258-4 9.558300-3 1.371123-4 9.558300-3 1.785631-4 1.076300-2 1.792960-4 1.076300-2 1.893182-4 1.124500-2 1.895816-4 1.124500-2 2.014265-4 1.603245-2 2.062671-4 2.290868-2 2.111868-4 3.235937-2 2.159348-4 4.415704-2 2.201536-4 6.025596-2 2.241555-4 6.548200-2 2.251759-4 6.548200-2 2.100525-4 1.717908-1 2.112583-4 5.370318-1 2.120337-4 1.000000+5 2.121480-4 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.180000-6 0.0 2.255900-4 0.0 2.255900-4 7.97882-10 2.295000-4 8.63785-10 2.325000-4 9.19020-10 2.350000-4 9.68014-10 2.371374-4 1.006509-9 2.385000-4 1.027066-9 2.400000-4 1.043808-9 2.415000-4 1.053808-9 2.428000-4 1.057317-9 2.442000-4 1.056535-9 2.458000-4 1.050600-9 2.483133-4 1.033048-9 2.500000-4 1.017834-9 2.530000-4 9.86059-10 2.580000-4 9.26102-10 2.650000-4 8.41963-10 2.705700-4 7.79860-10 2.754229-4 7.34244-10 2.790000-4 7.06692-10 2.830000-4 6.81998-10 2.865000-4 6.65934-10 2.900000-4 6.54966-10 2.930000-4 6.49351-10 2.965000-4 6.46959-10 3.000000-4 6.48594-10 3.040000-4 6.54939-10 3.080000-4 6.65923-10 3.126079-4 6.83307-10 3.180000-4 7.10031-10 3.240000-4 7.45962-10 3.311311-4 7.96635-10 3.430000-4 8.95155-10 3.467369-4 9.28441-10 3.550000-4 1.006100-9 3.680000-4 1.138001-9 3.758200-4 1.219804-9 3.758200-4 2.218735-9 4.200000-4 2.760169-9 4.352700-4 2.948683-9 4.352700-4 3.540484-9 4.731513-4 4.037208-9 5.128614-4 4.539362-9 5.256900-4 4.698562-9 5.256900-4 5.403798-9 5.754399-4 6.033099-9 6.237348-4 6.596057-9 6.700000-4 7.101256-9 7.244360-4 7.657326-9 7.852356-4 8.221291-9 8.609938-4 8.862065-9 9.332543-4 9.412703-9 1.011579-3 9.956977-9 1.083927-3 1.041384-8 1.161449-3 1.086138-8 1.216186-3 1.116540-8 1.333521-3 1.174387-8 1.462177-3 1.230704-8 1.621810-3 1.292222-8 1.668700-3 1.309006-8 1.668700-3 1.312346-8 1.725500-3 1.318791-8 1.725500-3 4.295984-6 1.748000-3 4.584387-6 1.785000-3 5.101639-6 1.800000-3 5.271052-6 1.813000-3 5.403225-6 1.820000-3 5.458100-6 1.850000-3 5.752280-6 1.875000-3 5.955306-6 1.890000-3 6.043654-6 1.905461-3 6.099194-6 2.099000-3 6.065538-6 2.099000-3 5.990844-6 2.358100-3 5.948945-6 2.358100-3 6.573420-6 2.576000-3 6.616147-6 2.576000-3 6.766986-6 3.090295-3 6.874089-6 4.027170-3 7.022172-6 5.432503-3 7.186791-6 7.413102-3 7.359095-6 9.558300-3 7.492675-6 9.558300-3 1.263688-3 9.850000-3 1.267840-3 1.076300-2 1.264293-3 1.076300-2 1.701498-3 1.124500-2 1.705565-3 1.124500-2 1.783403-3 1.500000-2 1.801445-3 2.264644-2 1.814805-3 4.073803-2 1.821497-3 6.548200-2 1.821617-3 6.548200-2 4.605448-2 7.762471-2 4.641985-2 1.011580-1 4.684030-2 1.445440-1 4.718662-2 2.400000-1 4.745018-2 7.413102-1 4.779934-2 1.273503+0 4.790829-2 1.000000+5 4.789731-2 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.180000-6 0.0 5.750000-6 5.700000-7 5.750000-6 3.937061-7 6.237348-6 8.728562-7 6.860000-6 1.488090-6 6.860000-6 9.546811-7 7.100000-6 1.251334-6 7.350000-6 1.554257-6 7.585776-6 1.833851-6 7.943282-6 2.249643-6 8.500000-6 2.877551-6 9.332543-6 3.783627-6 1.023293-5 4.733755-6 1.161449-5 6.157325-6 1.462177-5 9.195045-6 2.540000-5 1.997293-5 2.540000-5 1.813713-5 2.726000-5 1.981242-5 2.726000-5 1.852486-5 3.235937-5 2.270057-5 3.555800-5 2.518253-5 3.810000-5 2.699890-5 3.810000-5 8.267482-6 3.890451-5 9.093426-6 4.030000-5 1.060419-5 4.350000-5 1.418700-5 4.634000-5 1.740423-5 4.634000-5 1.151850-5 4.731513-5 1.249906-5 4.850000-5 1.376735-5 5.011872-5 1.557924-5 5.150000-5 1.716963-5 5.432503-5 2.051928-5 5.754399-5 2.443969-5 6.760830-5 3.685363-5 7.256000-5 4.277538-5 7.256000-5 4.230120-5 7.852356-5 4.922447-5 8.650000-5 5.803838-5 9.800000-5 7.020242-5 1.202264-4 9.294663-5 2.147100-4 1.878433-4 2.147100-4 1.865244-4 2.255900-4 1.971263-4 2.255900-4 1.962761-4 2.480000-4 2.186586-4 2.930000-4 2.644117-4 3.758200-4 3.452740-4 3.758200-4 3.419529-4 4.352700-4 3.992492-4 4.352700-4 3.983677-4 5.256900-4 4.856739-4 5.256900-4 4.837941-4 8.700000-4 8.189577-4 1.668700-3 1.607238-3 1.668700-3 1.579704-3 1.725500-3 1.635926-3 1.725500-3 1.625939-3 1.972423-3 1.868035-3 2.099000-3 1.994622-3 2.099000-3 1.987009-3 2.358100-3 2.245194-3 2.358100-3 2.240969-3 2.576000-3 2.457743-3 2.576000-3 2.453919-3 9.558300-3 9.413695-3 9.558300-3 8.116049-3 1.076300-2 9.319411-3 1.076300-2 8.872184-3 1.124500-2 9.349854-3 1.124500-2 9.260170-3 3.162278-2 2.958753-2 6.548200-2 6.343521-2 6.548200-2 1.921747-2 6.918310-2 2.278803-2 7.585776-2 2.926421-2 9.800000-2 5.098469-2 1.640590-1 1.165682-1 1.000000+5 9.999995+4 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 6.548200-2 2.816168+3 6.740000-2 2.621120+3 6.830000-2 2.538040+3 6.950000-2 2.421160+3 7.300000-2 2.144780+3 7.943282-2 1.719202+3 9.015711-2 1.240489+3 9.800000-2 9.951920+2 1.202264-1 5.770409+2 1.566751-1 2.821636+2 2.264644-1 1.040214+2 2.754229-1 6.161637+1 3.198895-1 4.154843+1 3.672823-1 2.907111+1 4.168694-1 2.110013+1 4.731513-1 1.543196+1 5.308844-1 1.169176+1 5.956621-1 8.922256+0 6.683439-1 6.859583+0 7.498942-1 5.313723+0 8.317638-1 4.250949+0 9.225714-1 3.423900+0 1.023293+0 2.777493+0 1.174898+0 2.116975+0 1.318257+0 1.698809+0 1.496236+0 1.343902+0 1.678804+0 1.094208+0 1.905461+0 8.794752-1 2.162719+0 7.121879-1 2.483133+0 5.701225-1 2.851018+0 4.598578-1 3.273407+0 3.735864-1 3.801894+0 3.005445-1 4.415704+0 2.435492-1 5.248075+0 1.925805-1 6.237348+0 1.534297-1 7.585776+0 1.196326-1 9.225714+0 9.405732-2 1.148154+1 7.239956-2 1.462177+1 5.469979-2 1.905461+1 4.057806-2 2.540973+1 2.957372-2 3.427678+1 2.143757-2 4.897788+1 1.470221-2 8.413951+1 8.389749-3 1.640590+2 4.245883-3 3.273407+2 2.112607-3 1.303167+3 5.277808-4 1.000000+5 6.865800-6 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 6.548200-2 2.064200-4 1.000000+5 2.064200-4 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.548200-2 5.667900-2 1.000000+5 5.667900-2 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.548200-2 8.596580-3 1.000000+5 9.999994+4 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.124500-2 1.058910+4 1.141500-2 1.025316+4 1.174898-2 9.785123+3 1.200000-2 9.431780+3 1.244515-2 8.889407+3 1.350000-2 7.684520+3 1.450000-2 6.792620+3 1.548817-2 6.019679+3 1.659587-2 5.274987+3 1.770000-2 4.681200+3 2.264644-2 2.875499+3 2.576800-2 2.201194+3 2.917427-2 1.695924+3 3.507519-2 1.136275+3 4.027170-2 8.341043+2 4.570882-2 6.248690+2 5.370318-2 4.290834+2 6.309573-2 2.921498+2 7.413102-2 1.973563+2 8.810489-2 1.286223+2 1.059254-1 8.083573+1 1.303167-1 4.755278+1 2.600160-1 7.919082+0 3.162278-1 4.795452+0 3.715352-1 3.195024+0 4.315191-1 2.207766+0 4.954502-1 1.581520+0 5.623413-1 1.173893+0 6.382635-1 8.780030-1 7.244360-1 6.618927-1 8.128305-1 5.157429-1 9.015711-1 4.147987-1 1.000000+0 3.359162-1 1.161449+0 2.500512-1 1.303167+0 2.005261-1 1.479108+0 1.585288-1 1.659587+0 1.289817-1 1.883649+0 1.035923-1 2.137962+0 8.382894-2 2.454709+0 6.706082-2 2.818383+0 5.405609-2 3.235937+0 4.388875-2 3.758374+0 3.528717-2 4.365158+0 2.857964-2 5.188000+0 2.258727-2 6.165950+0 1.798625-2 7.498942+0 1.401687-2 9.015711+0 1.117128-2 1.122018+1 8.591801-3 1.412538+1 6.572531-3 1.819701+1 4.933545-3 2.371374+1 3.682792-3 3.090295+1 2.765768-3 4.518559+1 1.847834-3 7.498942+1 1.090922-3 1.348963+2 5.982229-4 2.691535+2 2.971843-4 1.071519+3 7.416066-5 1.000000+5 7.929400-7 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.124500-2 2.769800-4 1.000000+5 2.769800-4 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.124500-2 2.279900-3 1.000000+5 2.279900-3 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.124500-2 8.688120-3 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.076300-2 2.082606+4 1.107000-2 1.958500+4 1.175000-2 1.686700+4 1.380384-2 1.109300+4 1.531087-2 8.396800+3 1.798871-2 5.393200+3 2.080000-2 3.607500+3 2.630268-2 1.845000+3 3.273407-2 9.737900+2 4.073803-2 5.079300+2 5.069907-2 2.623700+2 6.456542-2 1.253200+2 1.333521-1 1.335631+1 1.678804-1 6.594278+0 2.018366-1 3.774367+0 2.400000-1 2.250401+0 2.786121-1 1.451946+0 3.198895-1 9.746818-1 3.630781-1 6.811912-1 4.120975-1 4.796822-1 4.623810-1 3.512296-1 5.188000-1 2.591032-1 5.754399-1 1.984063-1 6.382635-1 1.529491-1 7.328245-1 1.091545-1 8.035261-1 8.761973-2 8.709636-1 7.277773-2 9.440609-1 6.090467-2 1.011579+0 5.264420-2 1.109175+0 4.369121-2 1.216186+0 3.650153-2 1.333521+0 3.070124-2 1.513561+0 2.440754-2 1.737801+0 1.911072-2 1.972423+0 1.538627-2 2.238721+0 1.248324-2 2.570396+0 1.001317-2 2.951209+0 8.092244-3 3.427678+0 6.475357-3 4.000000+0 5.186300-3 4.677351+0 4.173566-3 5.559043+0 3.308482-3 6.606934+0 2.642771-3 8.000000+0 2.076700-3 1.011579+1 1.561077-3 1.244515+1 1.221941-3 1.584893+1 9.256287-4 2.065380+1 6.882675-4 2.851018+1 4.842041-4 4.315191+1 3.114846-4 6.683439+1 1.973730-4 1.047129+2 1.243832-4 2.089296+2 6.164859-5 4.168694+2 3.072839-5 1.659587+3 7.684358-6 1.000000+5 1.273400-7 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.076300-2 2.157100-4 1.000000+5 2.157100-4 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.076300-2 2.852800-3 1.000000+5 2.852800-3 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.076300-2 7.694490-3 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 9.558300-3 4.654082+4 9.642000-3 4.571216+4 9.850000-3 4.338760+4 1.083927-2 3.347733+4 1.230269-2 2.362582+4 1.364583-2 1.761353+4 1.603245-2 1.104747+4 1.850000-2 7.283920+3 2.344229-2 3.580218+3 2.917427-2 1.829489+3 3.548134-2 9.921089+2 4.315191-2 5.329962+2 5.248075-2 2.839683+2 6.531306-2 1.393571+2 8.609938-2 5.621617+1 1.355400-1 1.257918+1 1.678804-1 6.236205+0 2.000000-1 3.537354+0 2.317395-1 2.210375+0 2.660725-1 1.431895+0 3.019952-1 9.688374-1 3.388442-1 6.840300-1 3.801894-1 4.865990-1 4.216965-1 3.606710-1 4.623810-1 2.781146-1 5.128614-1 2.091381-1 5.688529-1 1.585012-1 6.237348-1 1.247270-1 6.839117-1 9.879485-2 7.498942-1 7.877014-2 8.609938-1 5.661779-2 9.225714-1 4.831246-2 9.772372-1 4.256593-2 1.047129+0 3.683721-2 1.148154+0 3.061975-2 1.258925+0 2.564760-2 1.396368+0 2.119294-2 1.678804+0 1.526137-2 1.905461+0 1.225913-2 2.162719+0 9.923870-3 2.483133+0 7.943807-3 2.851018+0 6.407796-3 3.311311+0 5.118036-3 3.845918+0 4.119742-3 4.518559+0 3.287664-3 5.370318+0 2.602277-3 6.382635+0 2.075423-3 7.762471+0 1.619726-3 9.549926+0 1.257029-3 1.174898+1 9.819086-4 1.500000+1 7.403100-4 1.949845+1 5.511454-4 2.630268+1 3.969034-4 3.845918+1 2.642956-4 5.559043+1 1.795336-4 9.015711+1 1.089103-4 1.778279+2 5.452471-5 3.548134+2 2.714596-5 1.412538+3 6.784356-6 1.000000+5 9.567200-8 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 9.558300-3 2.037600-4 1.000000+5 2.037600-4 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 9.558300-3 2.027300-3 1.000000+5 2.027300-3 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 9.558300-3 7.327240-3 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.576000-3 3.079175+4 2.691535-3 2.945487+4 3.090295-3 2.454038+4 3.273407-3 2.260663+4 3.850000-3 1.777796+4 4.415704-3 1.443732+4 4.800000-3 1.261454+4 5.821032-3 9.148163+3 6.531306-3 7.484615+3 7.585776-3 5.734556+3 9.120108-3 4.082286+3 1.047129-2 3.140353+3 1.202264-2 2.402646+3 1.428894-2 1.705087+3 1.698244-2 1.199470+3 2.018366-2 8.366850+2 2.400000-2 5.781360+2 2.818383-2 4.071906+2 3.311311-2 2.844153+2 3.890451-2 1.972267+2 4.570882-2 1.357755+2 5.370318-2 9.280603+1 6.382635-2 6.126709+1 7.585776-2 4.014399+1 9.015711-2 2.612091+1 1.109175-1 1.546628+1 1.445440-1 7.846895+0 2.483133-1 1.931149+0 3.090295-1 1.103139+0 3.630781-1 7.348092-1 4.168694-1 5.220093-1 4.786301-1 3.735430-1 5.432503-1 2.767811-1 6.095369-1 2.121075-1 6.918310-1 1.595228-1 7.762471-1 1.240000-1 8.709636-1 9.701065-2 9.660509-1 7.832375-2 1.109175+0 5.950046-2 1.258925+0 4.655867-2 1.428894+0 3.673116-2 1.603245+0 2.982242-2 1.819701+0 2.390055-2 2.065380+0 1.930145-2 2.344229+0 1.569724-2 2.691535+0 1.262228-2 3.090295+0 1.022436-2 3.589219+0 8.200961-3 4.168694+0 6.627379-3 4.897788+0 5.308860-3 5.821032+0 4.216733-3 6.918310+0 3.374973-3 8.317638+0 2.680682-3 1.059254+1 2.000839-3 1.303167+1 1.568673-3 1.659587+1 1.189968-3 2.162719+1 8.859501-4 2.951209+1 6.319004-4 4.415704+1 4.117246-4 7.079458+1 2.518178-4 1.174898+2 1.497682-4 2.344229+2 7.431360-5 4.677351+2 3.706699-5 1.862087+3 9.273482-6 1.000000+5 1.724600-7 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.576000-3 2.005600-4 1.000000+5 2.005600-4 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.576000-3 1.026700-5 1.000000+5 1.026700-5 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.576000-3 2.365173-3 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 2.358100-3 4.986448+4 2.454709-3 4.793020+4 2.540973-3 4.618940+4 2.700000-3 4.312240+4 2.818383-3 4.087249+4 3.090295-3 3.606873+4 3.400000-3 3.143980+4 3.672823-3 2.797712+4 3.981072-3 2.458255+4 4.265795-3 2.186304+4 4.954502-3 1.676868+4 5.308844-3 1.475586+4 6.025596-3 1.154304+4 6.606934-3 9.605339+3 7.413102-3 7.560867+3 8.300000-3 5.940460+3 9.332543-3 4.583012+3 1.040000-2 3.585460+3 1.190000-2 2.617400+3 1.333521-2 1.991769+3 1.513561-2 1.459551+3 1.737801-2 1.030870+3 1.995262-2 7.220883+2 2.290868-2 5.018487+2 2.630268-2 3.462036+2 3.019952-2 2.371678+2 3.507519-2 1.562822+2 4.120975-2 9.894855+1 4.897788-2 6.015623+1 5.888437-2 3.508039+1 7.328245-2 1.833370+1 9.772372-2 7.734697+0 1.584893-1 1.800193+0 1.972423-1 9.368898-1 2.371374-1 5.441791-1 2.786121-1 3.408018-1 3.198895-1 2.297577-1 3.630781-1 1.611158-1 4.120975-1 1.137844-1 4.623810-1 8.350902-2 5.188000-1 6.173998-2 5.821032-1 4.600894-2 6.456542-1 3.555712-2 7.161434-1 2.766868-2 7.943282-1 2.168284-2 8.709636-1 1.751681-2 9.332543-1 1.501229-2 1.000000+0 1.295046-2 1.096478+0 1.073488-2 1.202264+0 8.960060-3 1.318257+0 7.530850-3 1.479108+0 6.109656-3 1.717908+0 4.683834-3 1.949845+0 3.768341-3 2.213095+0 3.055553-3 2.540973+0 2.449372-3 2.917427+0 1.978205-3 3.388442+0 1.582003-3 3.935501+0 1.274896-3 4.623810+0 1.018515-3 5.495409+0 8.069847-4 6.531306+0 6.442746-4 7.943282+0 5.032893-4 1.000000+1 3.802300-4 1.230269+1 2.974984-4 1.566751+1 2.252766-4 2.041738+1 1.674568-4 2.851018+1 1.163179-4 4.265795+1 7.573830-5 6.456542+1 4.914264-5 9.885531+1 3.169174-5 1.927525+2 1.606800-5 3.845918+2 8.004405-6 1.531087+3 2.001067-6 1.000000+5 3.059100-8 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 2.358100-3 1.703600-4 1.000000+5 1.703600-4 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.358100-3 1.694500-5 1.000000+5 1.694500-5 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.358100-3 2.170795-3 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.099000-3 1.450465+5 2.200000-3 1.363280+5 2.371374-3 1.226579+5 2.511886-3 1.124300+5 2.786121-3 9.503673+4 3.126079-3 7.828971+4 3.400000-3 6.752040+4 3.672823-3 5.859144+4 4.400000-3 4.130960+4 4.731513-3 3.571108+4 5.370318-3 2.741370+4 5.956621-3 2.196386+4 6.760830-3 1.657818+4 7.500000-3 1.309028+4 8.609938-3 9.467873+3 9.549926-3 7.374904+3 1.083927-2 5.396096+3 1.244515-2 3.801404+3 1.400000-2 2.799948+3 1.580000-2 2.032072+3 1.819701-2 1.385894+3 2.089296-2 9.451994+2 2.400000-2 6.387840+2 2.754229-2 4.295919+2 3.162278-2 2.864522+2 3.672823-2 1.832682+2 4.315191-2 1.123479+2 5.069907-2 6.833127+1 6.025596-2 3.980722+1 7.244360-2 2.220755+1 9.225714-2 1.022777+1 1.659587-1 1.538623+0 2.018366-1 8.235870-1 2.371374-1 4.956597-1 2.722701-1 3.229903-1 3.090295-1 2.196551-1 3.467369-1 1.557692-1 3.890451-1 1.112697-1 4.315191-1 8.277024-2 4.786301-1 6.200869-2 5.248075-1 4.828567-2 5.821032-1 3.671679-2 6.456542-1 2.812488-2 7.161434-1 2.170912-2 7.852356-1 1.736570-2 8.609938-1 1.395021-2 9.225714-1 1.190875-2 9.772372-1 1.049535-2 1.047129+0 9.085036-3 1.148154+0 7.552691-3 1.258925+0 6.326135-3 1.396368+0 5.226643-3 1.678804+0 3.763060-3 1.905461+0 3.022874-3 2.162719+0 2.447371-3 2.483133+0 1.959122-3 2.851018+0 1.580221-3 3.273407+0 1.283757-3 3.801894+0 1.032747-3 4.415704+0 8.368803-4 5.248075+0 6.617482-4 6.237348+0 5.272290-4 7.585776+0 4.110700-4 9.225714+0 3.232064-4 1.148154+1 2.487816-4 1.462177+1 1.879608-4 1.905461+1 1.394304-4 2.540973+1 1.016229-4 3.427678+1 7.366435-5 4.954502+1 4.991686-5 8.413951+1 2.882945-5 1.621810+2 1.476104-5 3.235937+2 7.344084-6 1.288250+3 1.834596-6 1.000000+5 2.359200-8 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.099000-3 1.560700-4 1.000000+5 1.560700-4 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.099000-3 5.504400-6 1.000000+5 5.504400-6 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.099000-3 1.937426-3 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.725500-3 2.844730+5 1.748000-3 3.047697+5 1.785000-3 3.428782+5 1.794000-3 3.505995+5 1.805000-3 3.586550+5 1.813000-3 3.638180+5 1.840772-3 3.767878+5 1.850000-3 3.804872+5 1.862087-3 3.843171+5 1.875000-3 3.873487+5 1.890000-3 3.881304+5 1.905461-3 3.856078+5 2.238721-3 2.558637+5 2.483133-3 1.952148+5 2.722701-3 1.524729+5 3.019952-3 1.145709+5 3.311311-3 8.827981+4 3.672823-3 6.551770+4 4.168694-3 4.495253+4 4.623810-3 3.288336+4 5.308844-3 2.143460+4 5.888437-3 1.546778+4 6.839116-3 9.555605+3 7.585776-3 6.802971+3 8.609938-3 4.461888+3 9.885531-3 2.791795+3 1.122018-2 1.803255+3 1.288250-2 1.110965+3 1.479108-2 6.792493+2 1.717908-2 3.953903+2 2.000000-2 2.263332+2 2.344229-2 1.253251+2 2.754229-2 6.824381+1 3.273407-2 3.530321+1 4.000000-2 1.628312+1 5.011872-2 6.758912+0 1.047129-1 3.745288-1 1.273503-1 1.749045-1 1.513561-1 8.997937-2 1.757924-1 5.094178-2 2.041738-1 2.906431-2 2.317395-1 1.819749-2 2.630268-1 1.147741-2 2.951209-1 7.602246-3 3.311311-1 5.072857-3 3.672823-1 3.548909-3 4.120975-1 2.405083-3 4.518559-1 1.773014-3 4.954502-1 1.316418-3 5.370318-1 1.022005-3 5.888437-1 7.706529-4 6.531306-1 5.643066-4 7.161434-1 4.307626-4 7.762471-1 3.424147-4 8.511380-1 2.644459-4 9.015711-1 2.264282-4 9.440609-1 2.012002-4 9.885531-1 1.799401-4 1.035142+0 1.620863-4 1.096478+0 1.433293-4 1.161449+0 1.276476-4 1.244515+0 1.119369-4 1.348963+0 9.679159-5 1.531087+0 7.771290-5 1.819701+0 5.736336-5 2.018366+0 4.809052-5 2.317395+0 3.834536-5 2.660725+0 3.081271-5 3.054921+0 2.494275-5 3.548134+0 1.999549-5 4.120975+0 1.615044-5 4.841724+0 1.293078-5 5.754399+0 1.026524-5 6.839116+0 8.211944-6 8.222427+0 6.519507-6 1.047129+1 4.864087-6 1.288250+1 3.811898-6 1.640590+1 2.890643-6 2.137962+1 2.151431-6 2.917427+1 1.534007-6 4.365158+1 9.992999-7 6.839116+1 6.258162-7 1.096478+2 3.853536-7 2.187762+2 1.910796-7 4.365158+2 9.526835-8 1.737801+3 2.382913-8 1.000000+5 4.13530-10 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.725500-3 1.148200-4 1.000000+5 1.148200-4 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.725500-3 1.897700-5 1.000000+5 1.897700-5 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.725500-3 1.591703-3 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.668700-3 6.667768+5 1.800000-3 6.275496+5 1.820000-3 6.206220+5 1.862087-3 5.866351+5 2.220000-3 3.719352+5 2.454709-3 2.845962+5 2.691535-3 2.212651+5 2.985383-3 1.655620+5 3.507519-3 1.040049+5 3.801894-3 8.179681+4 4.415704-3 5.194142+4 4.897788-3 3.761402+4 5.559043-3 2.519534+4 6.382635-3 1.610894+4 7.079458-3 1.144881+4 8.128305-3 7.202833+3 9.332543-3 4.488899+3 1.047129-2 3.006464+3 1.190000-2 1.913160+3 1.364583-2 1.170180+3 1.584893-2 6.776417+2 1.840772-2 3.889849+2 2.113489-2 2.313003+2 2.426610-2 1.366271+2 2.818383-2 7.669560+1 3.311311-2 4.088235+1 4.027170-2 1.886920+1 4.954502-2 8.251125+0 6.918310-2 2.152175+0 1.011580-1 4.653667-1 1.230269-1 2.128401-1 1.445440-1 1.125522-1 1.659587-1 6.563785-2 1.883649-1 4.031322-2 2.018366-1 3.102184-2 2.398833-1 1.632446-2 2.660725-1 1.118633-2 2.951209-1 7.722794-3 3.235937-1 5.593963-3 3.548134-1 4.079968-3 3.890451-1 2.997412-3 4.216965-1 2.303212-3 4.623810-1 1.717131-3 5.011872-1 1.336859-3 5.432503-1 1.047437-3 5.888437-1 8.259666-4 6.382635-1 6.558816-4 6.918310-1 5.242896-4 7.585776-1 4.090053-4 8.709636-1 2.839814-4 9.225714-1 2.455703-4 9.660509-1 2.198021-4 1.011579+0 1.978758-4 1.071519+0 1.748011-4 1.135011+0 1.554160-4 1.216186+0 1.359381-4 1.318257+0 1.171690-4 1.819701+0 6.646447-5 2.044000+0 5.456843-5 2.344229+0 4.361734-5 2.691535+0 3.507137-5 3.090295+0 2.840751-5 3.589219+0 2.278596-5 4.168694+0 1.841429-5 4.897788+0 1.475112-5 5.821032+0 1.171600-5 6.918310+0 9.377353-6 8.317638+0 7.448386-6 1.059254+1 5.559278-6 1.303167+1 4.358502-6 1.659587+1 3.306283-6 2.162719+1 2.461613-6 2.951209+1 1.755714-6 4.365158+1 1.157910-6 6.918310+1 7.165659-7 1.122018+2 4.361583-7 2.238721+2 2.163216-7 4.466836+2 1.078717-7 1.778279+3 2.698268-8 1.000000+5 4.79170-10 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.668700-3 1.034400-4 1.000000+5 1.034400-4 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.668700-3 1.314100-8 1.000000+5 1.314100-8 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.668700-3 1.565247-3 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 5.256900-4 7.150084+4 5.650000-4 6.892984+4 5.821032-4 6.746145+4 6.025596-4 6.559708+4 6.237348-4 6.401766+4 7.000000-4 5.828580+4 7.500000-4 5.485600+4 8.000000-4 5.139500+4 9.332543-4 4.356713+4 1.011579-3 3.969907+4 1.150000-3 3.384760+4 1.288250-3 2.921740+4 1.450000-3 2.483040+4 1.650000-3 2.065100+4 1.900000-3 1.672808+4 2.150000-3 1.382450+4 2.511886-3 1.078235+4 2.951209-3 8.261459+3 3.427678-3 6.404289+3 4.027170-3 4.833050+3 4.731513-3 3.622106+3 5.623413-3 2.640195+3 6.683439-3 1.911481+3 8.035261-3 1.344842+3 9.660509-3 9.393125+2 1.161449-2 6.512862+2 1.400000-2 4.457140+2 1.659587-2 3.132725+2 1.995262-2 2.121908+2 2.371374-2 1.461701+2 2.818383-2 9.995326+1 3.349654-2 6.783943+1 3.981072-2 4.569419+1 4.731513-2 3.053991+1 5.623413-2 2.025676+1 6.683439-2 1.333749+1 8.035261-2 8.472740+0 9.772372-2 5.190233+0 1.230269-1 2.890061+0 1.566751-1 1.551737+0 2.454709-1 4.848233-1 3.054921-1 2.769285-1 3.630781-1 1.791904-1 4.168694-1 1.273169-1 4.786301-1 9.111309-2 5.432503-1 6.751437-2 6.095369-1 5.174131-2 6.918310-1 3.891820-2 7.762471-1 3.025390-2 8.709636-1 2.366858-2 9.660509-1 1.910828-2 1.109175+0 1.451512-2 1.258925+0 1.135801-2 1.428894+0 8.960749-3 1.603245+0 7.275236-3 1.819701+0 5.830481-3 2.065380+0 4.708939-3 2.371374+0 3.759757-3 2.722701+0 3.024990-3 3.126079+0 2.451639-3 3.630781+0 1.967677-3 4.216965+0 1.591029-3 5.000000+0 1.259500-3 5.956621+0 9.981665-4 7.161434+0 7.881030-4 8.511380+0 6.357880-4 1.083927+1 4.749185-4 1.348963+1 3.677117-4 1.737801+1 2.756291-4 2.290868+1 2.029131-4 3.019952+1 1.504084-4 4.466836+1 9.923663-5 7.244360+1 5.998839-5 1.244515+2 3.445528-5 2.483133+2 1.710514-5 9.885531+2 4.266006-6 6.237348+4 6.743845-8 1.000000+5 4.207300-8 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 5.256900-4 1.169600-4 1.000000+5 1.169600-4 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 5.256900-4 3.357800-8 1.000000+5 3.357800-8 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 5.256900-4 4.086964-4 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 4.352700-4 5.724679+4 5.248075-4 5.646723+4 5.821032-4 5.586895+4 6.200000-4 5.515200+4 6.700000-4 5.394120+4 7.161434-4 5.265043+4 7.673615-4 5.102410+4 8.222426-4 4.911967+4 8.810489-4 4.692174+4 9.549926-4 4.415283+4 1.035142-3 4.128438+4 1.110000-3 3.869960+4 1.216186-3 3.527362+4 1.333521-3 3.190296+4 1.450000-3 2.891260+4 1.603245-3 2.549869+4 1.757924-3 2.257745+4 1.950000-3 1.952890+4 2.162719-3 1.677917+4 2.426610-3 1.405247+4 2.691535-3 1.189675+4 3.019952-3 9.811662+3 3.400000-3 7.982800+3 3.801894-3 6.526275+3 4.300000-3 5.186860+3 4.841724-3 4.126645+3 5.432503-3 3.283883+3 6.165950-3 2.535646+3 7.000000-3 1.942410+3 7.943282-3 1.478428+3 9.000000-3 1.120948+3 1.011579-2 8.596653+2 1.148154-2 6.403843+2 1.318257-2 4.606678+2 1.500000-2 3.359400+2 1.717908-2 2.393309+2 1.972423-2 1.681431+2 2.264644-2 1.172395+2 2.600160-2 8.116701+1 3.019952-2 5.408169+1 3.507519-2 3.575487+1 4.120975-2 2.272199+1 4.897788-2 1.386841+1 5.821032-2 8.396530+0 7.161434-2 4.561500+0 9.332543-2 2.073419+0 1.621810-1 3.953493-1 2.041738-1 1.995351-1 2.426610-1 1.202270-1 2.851018-1 7.547770-2 3.273407-1 5.099652-2 3.715352-1 3.583574-2 4.216965-1 2.536160-2 4.731513-1 1.864997-2 5.248075-1 1.423235-2 5.888437-1 1.061879-2 6.531306-1 8.213852-3 7.244360-1 6.396514-3 8.317638-1 4.626817-3 9.015711-1 3.850316-3 9.660509-1 3.310108-3 1.035142+0 2.865674-3 1.135011+0 2.381681-3 1.250000+0 1.976376-3 1.380384+0 1.644289-3 1.640590+0 1.206652-3 1.862087+0 9.681560-4 2.113489+0 7.828183-4 2.426610+0 6.258332-4 2.786121+0 5.041629-4 3.198895+0 4.091004-4 3.715352+0 3.287323-4 4.315191+0 2.660961-4 5.128614+0 2.101926-4 6.095369+0 1.672932-4 7.328245+0 1.322067-4 8.709636+0 1.067558-4 1.100000+1 8.059700-5 1.380384+1 6.184032-5 1.778279+1 4.638758-5 2.317395+1 3.460521-5 3.054921+1 2.565661-5 4.466836+1 1.713805-5 7.244360+1 1.035991-5 1.230269+2 6.020600-6 2.454709+2 2.988550-6 9.772372+2 7.453045-7 6.165950+4 1.178136-8 1.000000+5 7.265900-9 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 4.352700-4 9.279500-5 1.000000+5 9.279500-5 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.352700-4 4.109300-8 1.000000+5 4.109300-8 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.352700-4 3.424339-4 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 3.758200-4 2.516561+5 4.365158-4 2.381251+5 5.069907-4 2.191898+5 5.500000-4 2.074724+5 6.025596-4 1.939394+5 6.606934-4 1.797137+5 7.161434-4 1.669525+5 7.800000-4 1.531356+5 8.700000-4 1.359840+5 9.500000-4 1.227000+5 1.047129-3 1.086430+5 1.161449-3 9.481837+4 1.288250-3 8.208536+4 1.428894-3 7.061241+4 1.584893-3 6.031204+4 1.778279-3 5.026402+4 2.000000-3 4.139360+4 2.238721-3 3.412180+4 2.540973-3 2.724038+4 2.851018-3 2.203219+4 3.198895-3 1.770401+4 3.630781-3 1.381261+4 4.120975-3 1.069158+4 4.731513-3 8.016288+3 5.432503-3 5.957376+3 6.237348-3 4.389049+3 7.079458-3 3.292226+3 8.128305-3 2.386225+3 9.225714-3 1.763333+3 1.047129-2 1.293753+3 1.188502-2 9.421126+2 1.348963-2 6.812638+2 1.531087-2 4.892034+2 1.737801-2 3.488032+2 1.995262-2 2.393135+2 2.290868-2 1.629115+2 2.630268-2 1.100695+2 3.019952-2 7.383001+1 3.507519-2 4.752327+1 4.073803-2 3.035794+1 4.786301-2 1.858755+1 5.623413-2 1.129452+1 6.760830-2 6.341078+0 8.317638-2 3.285154+0 1.096478-1 1.354212+0 1.640590-1 3.705666-1 2.041738-1 1.846092-1 2.371374-1 1.153648-1 2.722701-1 7.525916-2 3.090295-1 5.122753-2 3.467369-1 3.635013-2 3.890451-1 2.597831-2 4.315191-1 1.933041-2 4.786301-1 1.448490-2 5.248075-1 1.128064-2 5.821032-1 8.579245-3 6.456542-1 6.576289-3 7.161434-1 5.081272-3 7.852356-1 4.067748-3 8.709636-1 3.180929-3 9.332543-1 2.717778-3 9.885531-1 2.397442-3 1.071519+0 2.029157-3 1.174898+0 1.690028-3 1.288250+0 1.418327-3 1.428894+0 1.173824-3 1.698244+0 8.634462-4 1.927525+0 6.940854-4 2.187762+0 5.623248-4 2.511886+0 4.504241-4 2.884032+0 3.635249-4 3.311311+0 2.954996-4 3.845918+0 2.378650-4 4.518559+0 1.898171-4 5.370318+0 1.502475-4 6.382635+0 1.198303-4 7.762471+0 9.351756-5 9.549926+0 7.257510-5 1.174898+1 5.669224-5 1.500000+1 4.274300-5 1.949845+1 3.182120-5 2.660725+1 2.263099-5 3.981072+1 1.471070-5 5.821032+1 9.881385-6 9.225714+1 6.141505-6 1.819701+2 3.075477-6 3.630781+2 1.531474-6 1.445440+3 3.827790-7 1.000000+5 5.523800-9 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 3.758200-4 8.760000-5 1.000000+5 8.760000-5 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.758200-4 1.838600-8 1.000000+5 1.838600-8 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.758200-4 2.882016-4 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 2.255900-4 1.971109+5 2.350000-4 2.340700+5 2.371374-4 2.418274+5 2.385000-4 2.456224+5 2.400000-4 2.482724+5 2.415000-4 2.492316+5 2.428000-4 2.487724+5 2.442000-4 2.471180+5 2.458000-4 2.440356+5 2.480000-4 2.382900+5 2.500000-4 2.320560+5 2.530000-4 2.217368+5 2.570396-4 2.071008+5 2.630268-4 1.857709+5 2.705700-4 1.619503+5 2.754229-4 1.493509+5 2.790000-4 1.415940+5 2.830000-4 1.344676+5 2.865000-4 1.295112+5 2.900000-4 1.256592+5 2.930000-4 1.231668+5 2.965000-4 1.211132+5 3.000000-4 1.198948+5 3.040000-4 1.193984+5 3.080000-4 1.197300+5 3.126079-4 1.209373+5 3.180000-4 1.233728+5 3.240000-4 1.270844+5 3.311311-4 1.325484+5 3.430000-4 1.433116+5 3.672823-4 1.677003+5 3.801894-4 1.805149+5 3.935501-4 1.930071+5 4.073803-4 2.047578+5 4.216965-4 2.155108+5 4.365158-4 2.251582+5 4.518559-4 2.335440+5 4.677351-4 2.404904+5 4.850000-4 2.462956+5 5.011872-4 2.503321+5 5.230000-4 2.539076+5 5.432503-4 2.554963+5 5.650000-4 2.555500+5 5.900000-4 2.538780+5 6.200000-4 2.501036+5 6.531306-4 2.443917+5 6.850000-4 2.377376+5 7.244360-4 2.283861+5 7.673615-4 2.174708+5 8.128305-4 2.057457+5 8.609938-4 1.934380+5 9.120108-4 1.806932+5 9.772372-4 1.653176+5 1.050000-3 1.496204+5 1.122018-3 1.354810+5 1.216186-3 1.191805+5 1.303167-3 1.060885+5 1.412538-3 9.192640+4 1.531087-3 7.910450+4 1.659587-3 6.756978+4 1.800000-3 5.728120+4 1.972423-3 4.717269+4 2.150000-3 3.901496+4 2.371374-3 3.118478+4 2.600160-3 2.507472+4 2.851018-3 2.002854+4 3.162278-3 1.543044+4 3.507519-3 1.179257+4 3.845918-3 9.226465+3 4.216965-3 7.177927+3 4.677351-3 5.375292+3 5.188000-3 3.997399+3 5.800000-3 2.885060+3 6.456542-3 2.093479+3 7.161434-3 1.525860+3 8.035261-3 1.066000+3 9.015711-3 7.392019+2 1.011579-2 5.087222+2 1.135011-2 3.476585+2 1.288250-2 2.269368+2 1.462177-2 1.469772+2 1.659587-2 9.447060+1 1.883649-2 6.029344+1 2.162719-2 3.666425+1 2.483133-2 2.213371+1 2.884032-2 1.271587+1 3.388442-2 6.945415+0 4.027170-2 3.604713+0 4.897788-2 1.700188+0 6.382635-2 6.092598-1 1.059254-1 8.488379-2 1.303167-1 3.814236-2 1.548817-1 1.971590-2 1.798871-1 1.120229-2 2.065380-1 6.692840-3 2.344229-1 4.201817-3 2.660725-1 2.657060-3 3.000000-1 1.733851-3 3.349654-1 1.179766-3 3.715352-1 8.269354-4 4.168694-1 5.613936-4 4.570882-1 4.144043-4 5.011872-1 3.081309-4 5.495409-1 2.312278-4 6.095369-1 1.687947-4 6.683439-1 1.283063-4 7.328245-1 9.819252-5 8.609938-1 6.225960-5 9.120108-1 5.327346-5 9.549926-1 4.730309-5 1.000000+0 4.226531-5 1.047129+0 3.803290-5 1.096478+0 3.445354-5 1.161449+0 3.069013-5 1.230269+0 2.752884-5 1.333521+0 2.380336-5 1.479108+0 1.991201-5 1.840772+0 1.356965-5 2.044000+0 1.136200-5 2.344229+0 9.081906-6 2.691535+0 7.302532-6 3.090295+0 5.915055-6 3.589219+0 4.744578-6 4.168694+0 3.834283-6 4.897788+0 3.071465-6 5.821032+0 2.439536-6 6.918310+0 1.952551-6 8.317638+0 1.550900-6 1.059254+1 1.157619-6 1.303167+1 9.075489-7 1.659587+1 6.884413-7 2.162719+1 5.125607-7 2.951209+1 3.655842-7 4.365158+1 2.411106-7 6.918310+1 1.492015-7 1.122018+2 9.082113-8 2.238721+2 4.504243-8 4.466836+2 2.246080-8 1.778279+3 5.618403-9 1.000000+5 9.97750-11 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 2.255900-4 5.849700-5 1.000000+5 5.849700-5 1 72000 7 7 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.255900-4 2.820900-8 1.000000+5 2.820900-8 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.255900-4 1.670648-4 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 2.147100-4 2.967850+5 2.251400-4 3.520421+5 2.267000-4 3.590586+5 2.280000-4 3.629904+5 2.295000-4 3.650328+5 2.310000-4 3.644496+5 2.325000-4 3.615558+5 2.344229-4 3.551738+5 2.363000-4 3.468852+5 2.385000-4 3.355632+5 2.410000-4 3.216024+5 2.454709-4 2.959441+5 2.580000-4 2.325858+5 2.615000-4 2.188602+5 2.650000-4 2.071890+5 2.685300-4 1.975001+5 2.715000-4 1.909140+5 2.740000-4 1.864182+5 2.765000-4 1.828284+5 2.790000-4 1.800834+5 2.818383-4 1.779152+5 2.851018-4 1.765605+5 2.890000-4 1.763802+5 2.930000-4 1.776132+5 2.965000-4 1.797150+5 3.000000-4 1.826658+5 3.054921-4 1.885725+5 3.126079-4 1.981045+5 3.200000-4 2.096136+5 3.442200-4 2.521450+5 3.550000-4 2.711808+5 3.680000-4 2.931210+5 3.801894-4 3.121578+5 3.930000-4 3.301542+5 4.050000-4 3.449934+5 4.200000-4 3.609750+5 4.350000-4 3.742110+5 4.500000-4 3.846702+5 4.677351-4 3.939058+5 4.850000-4 4.001628+5 5.011872-4 4.039503+5 5.230000-4 4.062618+5 5.432503-4 4.058576+5 5.688529-4 4.024182+5 5.956621-4 3.961958+5 6.237348-4 3.877379+5 6.600000-4 3.748092+5 6.918310-4 3.620734+5 7.328245-4 3.446172+5 7.800000-4 3.241812+5 8.317638-4 3.020575+5 8.810489-4 2.817411+5 9.440609-4 2.573209+5 1.011579-3 2.333200+5 1.083927-3 2.101278+5 1.161449-3 1.880549+5 1.258925-3 1.639517+5 1.364583-3 1.418639+5 1.479108-3 1.218361+5 1.610000-3 1.030566+5 1.757924-3 8.594972+4 1.905461-3 7.231060+4 2.089296-3 5.889626+4 2.264644-3 4.892248+4 2.511886-3 3.822186+4 2.754229-3 3.045770+4 3.000000-3 2.453106+4 3.311311-3 1.897463+4 3.715352-3 1.393624+4 4.168694-3 1.014207+4 4.677351-3 7.314311+3 5.188000-3 5.411184+3 5.821032-3 3.841138+3 6.456542-3 2.801898+3 7.244360-3 1.958890+3 8.128305-3 1.358720+3 9.120108-3 9.354371+2 1.023293-2 6.389834+2 1.148154-2 4.333686+2 1.288250-2 2.918821+2 1.462177-2 1.875093+2 1.659587-2 1.195053+2 1.883649-2 7.560071+1 2.137962-2 4.749369+1 2.454709-2 2.838979+1 2.818383-2 1.684878+1 3.273407-2 9.502711+0 3.845918-2 5.088915+0 4.570882-2 2.586072+0 5.623413-2 1.138397+0 8.222426-2 2.490530-1 1.073540-1 8.588639-2 1.288250-1 4.174545-2 1.513561-1 2.222046-2 1.737801-1 1.303247-2 1.972423-1 8.047948-3 2.213095-1 5.227724-3 2.483133-1 3.421341-3 2.754229-1 2.353051-3 3.054921-1 1.630557-3 3.349654-1 1.184797-3 3.672823-1 8.668161-4 4.027170-1 6.388633-4 4.365158-1 4.922742-4 4.731513-1 3.818142-4 5.069907-1 3.088631-4 5.495409-1 2.429710-4 6.025596-1 1.861111-4 6.606935-1 1.432800-4 7.161434-1 1.146987-4 7.762471-1 9.244632-5 8.511380-1 7.275268-5 9.015711-1 6.301787-5 9.549926-1 5.495226-5 1.000000+0 4.952484-5 1.059254+0 4.378984-5 1.135011+0 3.805519-5 1.230269+0 3.257749-5 1.348963+0 2.749576-5 1.737801+0 1.756038-5 1.972423+0 1.413051-5 2.238721+0 1.146345-5 2.570396+0 9.194056-6 2.951209+0 7.429136-6 3.427678+0 5.944669-6 4.000000+0 4.761300-6 4.677351+0 3.831562-6 5.559043+0 3.037323-6 6.606934+0 2.426194-6 8.000000+0 1.906500-6 1.011579+1 1.433150-6 1.244515+1 1.121794-6 1.584893+1 8.497783-7 2.065380+1 6.318599-7 2.851018+1 4.445211-7 4.315191+1 2.859558-7 6.683439+1 1.811921-7 1.047129+2 1.141944-7 2.089296+2 5.659688-8 4.168694+2 2.821003-8 1.659587+3 7.054654-9 1.000000+5 1.16910-10 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 2.147100-4 5.760700-5 1.000000+5 5.760700-5 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 2.147100-4 1.571030-4 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 2.726000-5 4.667544+5 2.790000-5 4.693224+5 2.860000-5 4.681428+5 2.960000-5 4.628064+5 3.388442-5 4.336255+5 3.548134-5 4.268157+5 3.690000-5 4.239510+5 3.801894-5 4.241154+5 3.935501-5 4.274298+5 4.030000-5 4.319094+5 4.150000-5 4.403058+5 4.265795-5 4.513282+5 4.400000-5 4.677888+5 4.518559-5 4.856145+5 4.650000-5 5.088444+5 4.800000-5 5.397228+5 4.954502-5 5.759555+5 5.150000-5 6.276180+5 6.000000-5 9.013200+5 6.400000-5 1.043190+6 6.760830-5 1.173719+6 7.161434-5 1.319056+6 7.673615-5 1.505540+6 8.128305-5 1.670928+6 8.609938-5 1.842032+6 9.015711-5 1.979850+6 9.500000-5 2.133594+6 9.950000-5 2.263848+6 1.040000-4 2.380086+6 1.083927-4 2.479337+6 1.135011-4 2.578471+6 1.202264-4 2.686864+6 1.273503-4 2.778595+6 1.350000-4 2.854206+6 1.430000-4 2.912016+6 1.513561-4 2.950227+6 1.603245-4 2.966109+6 1.698244-4 2.959441+6 1.800000-4 2.931360+6 1.905461-4 2.885036+6 2.041738-4 2.809472+6 2.162719-4 2.730488+6 2.301000-4 2.629065+6 2.426610-4 2.529626+6 2.580000-4 2.401494+6 2.754229-4 2.255449+6 2.917427-4 2.120458+6 3.126079-4 1.954435+6 3.311311-4 1.812892+6 3.548134-4 1.642848+6 3.780000-4 1.489380+6 4.027170-4 1.341714+6 4.265795-4 1.212510+6 4.518559-4 1.089768+6 4.841724-4 9.511749+5 5.150000-4 8.375640+5 5.559043-4 7.096746+5 5.956621-4 6.061995+5 6.382635-4 5.146208+5 6.918310-4 4.218602+5 7.500000-4 3.428052+5 8.222426-4 2.681708+5 8.912509-4 2.146415+5 9.660509-4 1.706126+5 1.059254-3 1.302322+5 1.161449-3 9.864411+4 1.273503-3 7.416457+4 1.396368-3 5.536628+4 1.566751-3 3.808600+4 1.717908-3 2.805712+4 1.883649-3 2.052326+4 2.089296-3 1.432870+4 2.317395-3 9.930943+3 2.600160-3 6.558549+3 2.884032-3 4.483880+3 3.198895-3 3.045442+3 3.589219-3 1.966713+3 4.027170-3 1.260583+3 4.518559-3 8.022081+2 5.069907-3 5.069583+2 5.688529-3 3.182252+2 6.382635-3 1.984164+2 7.244360-3 1.171015+2 8.222426-3 6.856383+1 9.225714-3 4.186329+1 1.035142-2 2.538894+1 1.148154-2 1.608879+1 1.303167-2 9.131020+0 1.548817-2 4.179335+0 1.840772-2 1.900996+0 2.162719-2 9.048807-1 2.570396-2 4.054671-1 3.054921-2 1.804253-1 3.758374-2 6.757213-2 5.495409-2 1.102848-2 7.328245-2 2.798506-3 9.015711-2 1.049852-3 1.083927-1 4.425736-4 1.258925-1 2.209803-4 1.428894-1 1.236137-4 1.603245-1 7.337931-5 1.798871-1 4.385450-5 2.018366-1 2.639204-5 2.238721-1 1.680886-5 2.483133-1 1.077917-5 2.722701-1 7.309047-6 3.000000-1 4.889800-6 3.311311-1 3.271734-6 3.630781-1 2.264532-6 4.000000-1 1.549400-6 4.365158-1 1.105411-6 4.677351-1 8.515849-7 5.011872-1 6.603722-7 5.370318-1 5.172508-7 5.821032-1 3.916491-7 6.760830-1 2.345630-7 7.328245-1 1.790538-7 8.511380-1 1.100135-7 8.912509-1 9.532110-8 9.225714-1 8.601641-8 9.549926-1 7.799771-8 9.885531-1 7.111804-8 1.023293+0 6.524649-8 1.059254+0 6.018415-8 1.109175+0 5.443409-8 1.161449+0 4.958690-8 1.230269+0 4.449150-8 1.318257+0 3.936799-8 1.513561+0 3.127160-8 1.862087+0 2.173827-8 2.044000+0 1.856300-8 2.344229+0 1.484056-8 2.691535+0 1.193221-8 3.090295+0 9.663970-9 3.589219+0 7.751654-9 4.168694+0 6.264381-9 4.897788+0 5.018056-9 5.821032+0 3.985768-9 6.918310+0 3.190044-9 8.222427+0 2.569934-9 1.047129+1 1.917410-9 1.288250+1 1.502628-9 1.659587+1 1.124726-9 2.162719+1 8.37417-10 2.951209+1 5.97290-10 4.365158+1 3.93915-10 6.918310+1 2.43768-10 1.109175+2 1.50130-10 2.213095+2 7.44513-11 4.415704+2 3.71237-11 1.757924+3 9.28579-12 1.000000+5 1.63010-13 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 2.726000-5 2.726000-5 1.000000+5 2.726000-5 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 2.726000-5 0.0 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 2.540000-5 7.048392+5 2.600160-5 6.989916+5 2.700000-5 6.835464+5 3.019952-5 6.307936+5 3.162278-5 6.136390+5 3.300000-5 6.020304+5 3.427678-5 5.958439+5 3.555800-5 5.942670+5 3.672823-5 5.970467+5 3.770000-5 6.025240+5 3.890451-5 6.134152+5 4.000000-5 6.273344+5 4.120975-5 6.472003+5 4.220000-5 6.669560+5 4.350000-5 6.975872+5 4.500000-5 7.393168+5 4.650000-5 7.874576+5 4.850000-5 8.605840+5 5.150000-5 9.858960+5 5.688529-5 1.240541+6 6.025596-5 1.408997+6 6.400000-5 1.598464+6 6.800000-5 1.801360+6 7.244360-5 2.025754+6 7.762471-5 2.285180+6 8.222426-5 2.510364+6 8.709636-5 2.739513+6 9.150000-5 2.932616+6 9.549926-5 3.092955+6 1.000000-4 3.255112+6 1.052000-4 3.417930+6 1.100000-4 3.544784+6 1.161449-4 3.677928+6 1.230269-4 3.796997+6 1.303167-4 3.894400+6 1.380384-4 3.968011+6 1.462177-4 4.017837+6 1.548817-4 4.039823+6 1.640590-4 4.030159+6 1.737801-4 3.992679+6 1.850000-4 3.922936+6 1.980000-4 3.818744+6 2.113489-4 3.695859+6 2.238721-4 3.566671+6 2.371374-4 3.420863+6 2.511886-4 3.258145+6 2.691535-4 3.048508+6 2.851018-4 2.866069+6 3.054921-4 2.641641+6 3.235937-4 2.451584+6 3.467369-4 2.222599+6 3.672823-4 2.034521+6 3.935501-4 1.816880+6 4.168694-4 1.642875+6 4.466836-4 1.445674+6 4.786301-4 1.261154+6 5.069907-4 1.119690+6 5.500000-4 9.384080+5 5.956621-4 7.815278+5 6.382635-4 6.622900+5 6.850000-4 5.558184+5 7.413102-4 4.535306+5 8.128305-4 3.544993+5 8.810489-4 2.835350+5 9.549926-4 2.252586+5 1.047129-3 1.718561+5 1.148154-3 1.301030+5 1.258925-3 9.776298+4 1.380384-3 7.294019+4 1.513561-3 5.405236+4 1.678804-3 3.829191+4 1.862087-3 2.691267+4 2.065380-3 1.877293+4 2.290868-3 1.300173+4 2.570396-3 8.575600+3 2.851018-3 5.859392+3 3.162278-3 3.976880+3 3.507519-3 2.679479+3 3.935501-3 1.714620+3 4.415704-3 1.089167+3 5.011872-3 6.564531+2 5.623413-3 4.113775+2 6.309573-3 2.560328+2 7.079458-3 1.582576+2 8.000000-3 9.425386+1 9.015711-3 5.636890+1 1.023293-2 3.244049+1 1.148154-2 1.949126+1 1.303167-2 1.102260+1 1.496236-2 5.870241+0 1.737801-2 2.942863+0 2.264644-2 8.567552-1 2.722701-2 3.604294-1 3.126079-2 1.872139-1 3.801894-2 7.331527-2 7.413102-2 2.924380-3 9.015711-2 1.144691-3 1.059254-1 5.323459-4 1.244515-1 2.495438-4 1.412538-1 1.385861-4 1.584893-1 8.175122-5 1.778279-1 4.858472-5 1.972423-1 3.063583-5 2.187762-1 1.946450-5 2.398833-1 1.309171-5 2.630268-1 8.869307-6 2.851018-1 6.350011-6 3.054921-1 4.796454-6 3.311311-1 3.480402-6 3.589219-1 2.541608-6 3.935501-1 1.785432-6 4.265795-1 1.320342-6 4.570882-1 1.026588-6 4.897788-1 8.045778-7 5.248075-1 6.348309-7 5.623413-1 5.043648-7 6.095369-1 3.886783-7 6.606935-1 3.018689-7 7.413102-1 2.126014-7 7.943282-1 1.732609-7 8.511380-1 1.421093-7 9.225714-1 1.134872-7 9.660509-1 1.004327-7 1.000000+0 9.212300-8 1.047129+0 8.274666-8 1.096478+0 7.485946-8 1.148154+0 6.814340-8 1.216186+0 6.102472-8 1.318257+0 5.277034-8 1.513561+0 4.171475-8 1.840772+0 2.958202-8 2.044000+0 2.476300-8 2.344229+0 1.979219-8 2.691535+0 1.591481-8 3.090295+0 1.289172-8 3.589219+0 1.034091-8 4.168694+0 8.357012-9 4.897788+0 6.694410-9 5.821032+0 5.317170-9 6.918310+0 4.255785-9 8.222427+0 3.428500-9 1.047129+1 2.557875-9 1.300000+1 1.983600-9 1.659587+1 1.500499-9 2.162719+1 1.117181-9 2.951209+1 7.96816-10 4.415704+1 5.19174-10 7.079458+1 3.17540-10 1.174898+2 1.88851-10 2.344229+2 9.37099-11 4.677351+2 4.67411-11 1.862087+3 1.16934-11 1.000000+5 2.17460-13 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 2.540000-5 2.540000-5 1.000000+5 2.540000-5 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 2.540000-5 0.0 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 7.256000-5 6.121840+4 7.360000-5 5.911680+4 7.450000-5 5.766820+4 7.550000-5 5.645000+4 7.673615-5 5.535923+4 7.800000-5 5.467640+4 7.950000-5 5.427000+4 8.080000-5 5.420680+4 8.230000-5 5.441020+4 8.413951-5 5.496556+4 8.650000-5 5.602560+4 9.015711-5 5.812630+4 1.000000-4 6.434420+4 1.047129-4 6.689918+4 1.083927-4 6.854478+4 1.122018-4 6.991271+4 1.174898-4 7.127515+4 1.230269-4 7.211266+4 1.288250-4 7.247551+4 1.364583-4 7.238115+4 1.450000-4 7.177020+4 1.548817-4 7.062579+4 1.659587-4 6.892654+4 1.760000-4 6.708480+4 1.883649-4 6.453314+4 2.018366-4 6.155968+4 2.187762-4 5.780601+4 2.400000-4 5.337960+4 2.630268-4 4.900313+4 2.884032-4 4.462541+4 3.200000-4 3.982600+4 3.630781-4 3.441903+4 4.073803-4 2.993099+4 4.731513-4 2.472771+4 5.500000-4 2.025960+4 6.606934-4 1.573917+4 7.852356-4 1.231024+4 9.332543-4 9.560599+3 1.122018-3 7.247783+3 1.350000-3 5.446240+3 1.621810-3 4.071063+3 1.927525-3 3.073390+3 2.317395-3 2.259977+3 2.786121-3 1.648720+3 3.349654-3 1.193646+3 3.981072-3 8.756232+2 4.841724-3 6.114422+2 5.888437-3 4.238277+2 7.161434-3 2.915822+2 8.709636-3 1.990900+2 1.071519-2 1.318528+2 1.288250-2 9.077131+1 1.548817-2 6.203402+1 1.862087-2 4.207196+1 2.213095-2 2.902017+1 2.691535-2 1.889438+1 3.388442-2 1.130529+1 4.000000-2 7.755204+0 4.677351-2 5.387144+0 5.495409-2 3.673746+0 6.531306-2 2.419437+0 7.852356-2 1.538080+0 9.549926-2 9.432715-1 1.161449-1 5.738934-1 1.531088-1 2.819806-1 2.600160-1 7.166714-2 3.162278-1 4.347747-2 3.715352-1 2.899803-2 4.265795-1 2.062747-2 4.897788-1 1.478074-2 5.559043-1 1.096673-2 6.237348-1 8.416136-3 7.079458-1 6.339637-3 8.000000-1 4.860400-3 8.912509-1 3.866044-3 9.885531-1 3.126498-3 1.148154+0 2.325654-3 1.288250+0 1.863789-3 1.462177+0 1.472479-3 1.640590+0 1.197188-3 1.862087+0 9.608233-4 2.113489+0 7.770043-4 2.426610+0 6.211814-4 2.786121+0 5.004150-4 3.198895+0 4.060531-4 3.715352+0 3.262774-4 4.315191+0 2.641156-4 5.128614+0 2.086360-4 6.095369+0 1.660491-4 7.328245+0 1.312250-4 8.709636+0 1.059646-4 1.100000+1 7.999700-5 1.380384+1 6.138084-5 1.778279+1 4.604192-5 2.317395+1 3.434742-5 3.054921+1 2.546630-5 4.466836+1 1.701042-5 7.328245+1 1.016109-5 1.273503+2 5.769223-6 2.540973+2 2.864651-6 1.011579+3 7.145621-7 6.382635+4 1.129730-8 1.000000+5 7.211800-9 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 7.256000-5 7.256000-5 1.000000+5 7.256000-5 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 7.256000-5 0.0 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 4.634000-5 3.791440+6 4.700000-5 3.723960+6 4.760000-5 3.640180+6 4.841724-5 3.508505+6 4.954502-5 3.313604+6 5.128614-5 3.009155+6 5.308844-5 2.711410+6 5.500000-5 2.419680+6 5.730000-5 2.105420+6 6.000000-5 1.786572+6 6.309573-5 1.481942+6 6.800000-5 1.111950+6 7.800000-5 6.536360+5 8.413951-5 4.903329+5 9.120108-5 3.635503+5 9.800000-5 2.801120+5 1.047129-4 2.216384+5 1.109175-4 1.818614+5 1.174898-4 1.501917+5 1.240000-4 1.264524+5 1.303167-4 1.086829+5 1.364583-4 9.506478+4 1.430000-4 8.351880+4 1.500000-4 7.371000+4 1.566751-4 6.621158+4 1.640590-4 5.952649+4 1.720000-4 5.378120+4 1.800000-4 4.914320+4 1.883649-4 4.522819+4 1.980000-4 4.160640+4 2.089296-4 3.834280+4 2.213095-4 3.541516+4 2.350000-4 3.283680+4 2.511886-4 3.040557+4 2.730000-4 2.784780+4 3.019952-4 2.525163+4 4.518559-4 1.755772+4 5.308844-4 1.507943+4 6.165950-4 1.298084+4 7.000000-4 1.135564+4 8.035261-4 9.739674+3 9.120108-4 8.397634+3 1.035142-3 7.188810+3 1.174898-3 6.108463+3 1.333521-3 5.152362+3 1.531087-3 4.241942+3 1.737801-3 3.521202+3 1.972423-3 2.900253+3 2.238721-3 2.370456+3 2.511886-3 1.959346+3 2.851018-3 1.577190+3 3.235937-3 1.259993+3 3.672823-3 9.990823+2 4.168694-3 7.864153+2 4.731513-3 6.145777+2 5.370318-3 4.768726+2 6.095369-3 3.674240+2 6.918310-3 2.811346+2 7.852356-3 2.136288+2 9.000000-3 1.577402+2 1.023293-2 1.177085+2 1.161449-2 8.756168+1 1.318257-2 6.466694+1 1.513561-2 4.610392+1 1.737801-2 3.260776+1 2.041738-2 2.158876+1 2.371374-2 1.463609+1 2.754229-2 9.850063+0 3.090295-2 7.219658+0 3.548134-2 4.930355+0 4.120975-2 3.237116+0 4.841724-2 2.042015+0 5.821032-2 1.196581+0 7.161434-2 6.505105-1 9.332543-2 2.959033-1 1.640590-1 5.453642-2 2.041738-1 2.848733-2 2.426610-1 1.716667-2 2.851018-1 1.077907-2 3.273407-1 7.283513-3 3.715352-1 5.118428-3 4.216965-1 3.622578-3 4.731513-1 2.664065-3 5.248075-1 2.033203-3 5.888437-1 1.517133-3 6.606935-1 1.140912-3 7.328245-1 8.890484-4 8.413951-1 6.434776-4 9.120108-1 5.360524-4 9.772372-1 4.613717-4 1.059254+0 3.905985-4 1.161449+0 3.251887-4 1.273503+0 2.725856-4 1.412538+0 2.252459-4 1.678804+0 1.654699-4 1.905461+0 1.329330-4 2.162719+0 1.076549-4 2.483133+0 8.618108-5 2.851018+0 6.950302-5 3.273407+0 5.646018-5 3.801894+0 4.542134-5 4.415704+0 3.680740-5 5.248075+0 2.910463-5 6.237348+0 2.318784-5 7.585776+0 1.807908-5 9.225714+0 1.421479-5 1.148154+1 1.094191-5 1.462177+1 8.266676-6 1.905461+1 6.132501-6 2.540973+1 4.469474-6 3.427678+1 3.239808-6 4.897788+1 2.221984-6 8.413951+1 1.267926-6 1.659587+2 6.342308-7 3.311311+2 3.156017-7 1.318257+3 7.884949-8 1.000000+5 1.037600-9 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 4.634000-5 4.634000-5 1.000000+5 4.634000-5 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 4.634000-5 0.0 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 3.810000-5 8.548800+6 3.880000-5 8.160400+6 3.970000-5 7.634280+6 4.073803-5 7.039469+6 4.220000-5 6.267320+6 4.466836-5 5.155011+6 4.731513-5 4.197103+6 5.011872-5 3.393501+6 5.400000-5 2.555968+6 6.237348-5 1.467448+6 6.683439-5 1.132068+6 7.079458-5 9.180181+5 7.413102-5 7.804616+5 7.800000-5 6.564600+5 8.150000-5 5.687600+5 8.511380-5 4.964886+5 8.912509-5 4.327794+5 9.300000-5 3.838112+5 9.660509-5 3.468163+5 1.000000-4 3.179316+5 1.040000-4 2.897688+5 1.083927-4 2.645676+5 1.122018-4 2.464908+5 1.174898-4 2.258437+5 1.230269-4 2.084372+5 1.288400-4 1.935617+5 1.364583-4 1.778864+5 1.450000-4 1.639768+5 1.548817-4 1.512379+5 1.659587-4 1.399096+5 1.819701-4 1.271600+5 2.660725-4 8.817995+4 3.126079-4 7.499870+4 3.630781-4 6.404497+4 4.168694-4 5.494478+4 4.841724-4 4.615558+4 5.559043-4 3.900616+4 6.456542-4 3.224067+4 7.328245-4 2.726218+4 8.413951-4 2.255067+4 9.660509-4 1.851524+4 1.110000-3 1.507456+4 1.273503-3 1.220593+4 1.462177-3 9.798388+3 1.659587-3 7.955006+3 1.883649-3 6.414429+3 2.137962-3 5.135911+3 2.426610-3 4.083038+3 2.754229-3 3.223267+3 3.126079-3 2.526776+3 3.548134-3 1.966977+3 4.027170-3 1.520478+3 4.570882-3 1.167063+3 5.188000-3 8.895971+2 5.888437-3 6.734609+2 6.683439-3 5.064269+2 7.585776-3 3.781326+2 8.709636-3 2.728020+2 9.885531-3 2.007798+2 1.122018-2 1.467260+2 1.273503-2 1.064710+2 1.445440-2 7.671954+1 1.640590-2 5.488777+1 1.883649-2 3.779308+1 2.162719-2 2.582181+1 2.483133-2 1.751149+1 2.851018-2 1.178960+1 3.273407-2 7.880868+0 3.801894-2 5.055634+0 4.415704-2 3.218681+0 5.188000-2 1.964088+0 6.165950-2 1.148274+0 7.244360-2 6.911707-1 9.120108-2 3.318775-1 1.737801-1 4.192555-2 2.113489-1 2.253383-2 2.454709-1 1.410866-2 2.818383-1 9.221472-3 3.198895-1 6.289943-3 3.589219-1 4.473179-3 4.027170-1 3.204761-3 4.466836-1 2.390516-3 4.954502-1 1.796004-3 5.495409-1 1.360088-3 6.095369-1 1.038058-3 6.760830-1 7.984938-4 7.413102-1 6.366748-4 8.511380-1 4.577216-4 9.120108-1 3.903409-4 9.772372-1 3.352116-4 1.047129+0 2.901551-4 1.148154+0 2.412080-4 1.258925+0 2.020366-4 1.396368+0 1.669302-4 1.678804+0 1.201886-4 1.905461+0 9.654600-5 2.162719+0 7.816670-5 2.483133+0 6.257210-5 2.851018+0 5.046919-5 3.273407+0 4.100077-5 3.801894+0 3.298452-5 4.415704+0 2.672873-5 5.248075+0 2.113499-5 6.237348+0 1.683862-5 7.585776+0 1.312889-5 9.225714+0 1.032269-5 1.148154+1 7.945665-6 1.462177+1 6.003110-6 1.905461+1 4.453283-6 2.540973+1 3.245597-6 3.467369+1 2.323975-6 5.011872+1 1.575193-6 8.511380+1 9.099326-7 1.659587+2 4.605661-7 3.311311+2 2.291838-7 1.318257+3 5.725901-8 1.000000+5 7.53500-10 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 3.810000-5 3.810000-5 1.000000+5 3.810000-5 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 3.810000-5 0.0 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 5.750000-6 2.503362+6 5.821032-6 2.572545+6 6.025596-6 2.748453+6 6.237348-6 2.918374+6 6.500000-6 3.112000+6 6.760830-6 3.287949+6 7.100000-6 3.493960+6 7.500000-6 3.711792+6 7.943282-6 3.922747+6 8.500000-6 4.150784+6 9.120108-6 4.367249+6 9.772372-6 4.557803+6 1.050000-5 4.730080+6 1.122018-5 4.863999+6 1.202264-5 4.973552+6 1.288400-5 5.048809+6 1.364583-5 5.078244+6 1.445440-5 5.070089+6 1.531087-5 5.021966+6 1.610000-5 4.945520+6 1.690000-5 4.836976+6 1.770000-5 4.702856+6 1.850000-5 4.546792+6 1.927525-5 4.379389+6 2.018366-5 4.169284+6 2.113489-5 3.939855+6 2.213095-5 3.695826+6 2.317395-5 3.442447+6 2.426610-5 3.185419+6 2.540973-5 2.930129+6 2.691535-5 2.619764+6 2.851018-5 2.324715+6 3.019952-5 2.049903+6 3.235937-5 1.750380+6 3.467369-5 1.484026+6 3.730000-5 1.238040+6 4.000000-5 1.033664+6 4.300000-5 8.511280+5 4.570882-5 7.174905+5 4.841724-5 6.068776+5 5.150000-5 5.036504+5 5.432503-5 4.257532+5 5.754399-5 3.529652+5 6.095369-5 2.906081+5 6.500000-5 2.320944+5 6.918310-5 1.852673+5 7.413102-5 1.431936+5 7.852356-5 1.148300+5 8.413951-5 8.744285+4 8.912509-5 6.921155+4 9.500000-5 5.299816+4 1.000000-4 4.248680+4 1.060000-4 3.282152+4 1.122018-4 2.532676+4 1.202264-4 1.834529+4 1.350000-4 1.061096+4 1.412538-4 8.617231+3 1.462177-4 7.397976+3 1.500000-4 6.640536+3 1.545000-4 5.900008+3 1.584893-4 5.366085+3 1.625000-4 4.925688+3 1.659587-4 4.611795+3 1.698244-4 4.322734+3 1.735900-4 4.095005+3 1.757924-4 3.983915+3 1.778279-4 3.893850+3 1.798871-4 3.813724+3 1.840772-4 3.680191+3 1.883649-4 3.577915+3 1.927525-4 3.502551+3 1.972423-4 3.450566+3 2.065380-4 3.381311+3 2.137962-4 3.360262+3 2.213095-4 3.366625+3 2.290868-4 3.396878+3 2.371374-4 3.447929+3 2.483133-4 3.543379+3 2.630268-4 3.697020+3 2.917427-4 4.023086+3 3.019952-4 4.094459+3 3.198895-4 4.168465+3 3.388442-4 4.217566+3 3.548134-4 4.236056+3 3.758374-4 4.227132+3 3.981072-4 4.188312+3 4.216965-4 4.120926+3 4.466836-4 4.028412+3 4.731513-4 3.914594+3 5.069907-4 3.753864+3 5.432503-4 3.572022+3 5.821032-4 3.374547+3 6.237348-4 3.166880+3 6.683439-4 2.953237+3 7.161434-4 2.736480+3 7.762471-4 2.483713+3 8.413951-4 2.236592+3 9.120108-4 1.999432+3 9.885531-4 1.775209+3 1.071519-3 1.564244+3 1.161449-3 1.368685+3 1.273503-3 1.166174+3 1.396368-3 9.862558+2 1.513561-3 8.462071+2 1.659587-3 7.045934+2 1.819701-3 5.824126+2 2.041738-3 4.550864+2 2.238721-3 3.716734+2 2.454709-3 3.014309+2 2.660725-3 2.492745+2 2.917427-3 1.990499+2 3.235937-3 1.533677+2 3.589219-3 1.172785+2 4.000000-3 8.788451+1 4.415704-3 6.708288+1 4.897788-3 5.020106+1 5.432503-3 3.731359+1 6.025596-3 2.755085+1 6.760830-3 1.951877+1 7.585776-3 1.372081+1 8.511380-3 9.573128+0 9.549926-3 6.630462+0 1.071519-2 4.558872+0 1.202264-2 3.111393+0 1.348963-2 2.108485+0 1.531087-2 1.364079+0 1.737801-2 8.760927-1 1.995262-2 5.362243-1 2.290868-2 3.256451-1 2.660725-2 1.881915-1 3.090295-2 1.079252-1 3.630781-2 5.883735-2 4.365158-2 2.917776-2 5.308844-2 1.374399-2 7.161434-2 4.302261-3 1.071519-1 8.987801-4 1.318257-1 4.041559-4 1.566751-1 2.090629-4 1.819701-1 1.188856-4 2.089296-1 7.108256-5 2.371374-1 4.465393-5 2.691535-1 2.825514-5 3.019952-1 1.876941-5 3.388442-1 1.256009-5 3.758374-1 8.809698-6 4.216965-1 5.987645-6 4.623810-1 4.426146-6 5.011872-1 3.417996-6 5.495409-1 2.564928-6 6.095369-1 1.871927-6 6.683439-1 1.422255-6 7.328245-1 1.088102-6 8.511380-1 7.130665-7 9.015711-1 6.098609-7 9.440609-1 5.411480-7 9.885531-1 4.830307-7 1.035142+0 4.340999-7 1.083927+0 3.927447-7 1.148154+0 3.493265-7 1.216186+0 3.129387-7 1.318257+0 2.702765-7 1.531087+0 2.085058-7 1.819701+0 1.539156-7 2.018366+0 1.290243-7 2.290868+0 1.048025-7 2.630268+0 8.416235-8 3.019952+0 6.808949-8 3.507519+0 5.455027-8 4.073803+0 4.403483-8 4.786301+0 3.523749-8 5.688529+0 2.796111-8 6.760830+0 2.235715-8 8.128305+0 1.774110-8 1.023293+1 1.341433-8 1.258925+1 1.050408-8 1.603245+1 7.959918-9 2.089296+1 5.920602-9 2.884032+1 4.166713-9 4.315191+1 2.713685-9 6.606934+1 1.740229-9 1.035142+2 1.096480-9 2.065380+2 5.43398-10 4.120975+2 2.70825-10 1.640590+3 6.77241-11 1.000000+5 1.10950-12 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 5.750000-6 5.750000-6 1.000000+5 5.750000-6 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 5.750000-6 0.0 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 5.180000-6 4.827300+6 5.400000-6 5.150652+6 5.623413-6 5.444293+6 5.900000-6 5.764764+6 6.200000-6 6.065484+6 6.531306-6 6.354461+6 6.918310-6 6.638413+6 7.350000-6 6.906180+6 7.852356-6 7.161627+6 8.500000-6 7.421220+6 9.225714-6 7.641159+6 1.000000-5 7.809528+6 1.083927-5 7.925034+6 1.161449-5 7.974894+6 1.244515-5 7.973957+6 1.318257-5 7.927816+6 1.396368-5 7.831243+6 1.462177-5 7.717564+6 1.531087-5 7.565320+6 1.610000-5 7.356468+6 1.690000-5 7.113216+6 1.770000-5 6.842820+6 1.850000-5 6.551208+6 1.927525-5 6.255721+6 2.018366-5 5.902093+6 2.113489-5 5.530693+6 2.213095-5 5.147453+6 2.317395-5 4.760088+6 2.450000-5 4.297764+6 2.591000-5 3.848051+6 2.754229-5 3.382910+6 2.951209-5 2.900287+6 3.162278-5 2.467203+6 3.427678-5 2.025498+6 3.672823-5 1.699011+6 3.935501-5 1.415680+6 4.220000-5 1.169437+6 4.518559-5 9.619560+5 4.800000-5 8.040768+5 5.069907-5 6.790239+5 5.400000-5 5.547876+5 5.688529-5 4.664350+5 6.025596-5 3.825629+5 6.382635-5 3.116621+5 6.839116-5 2.416513+5 7.244360-5 1.941715+5 7.762471-5 1.482183+5 8.222426-5 1.175473+5 8.709636-5 9.268695+4 9.225714-5 7.257409+4 9.800000-5 5.575848+4 1.040000-4 4.267632+4 1.100000-4 3.296424+4 1.288250-4 1.569491+4 1.350000-4 1.268208+4 1.400000-4 1.082305+4 1.440000-4 9.635160+3 1.480000-4 8.662536+3 1.515000-4 7.959504+3 1.548817-4 7.393143+3 1.566751-4 7.134188+3 1.584893-4 6.900178+3 1.611900-4 6.596846+3 1.640590-4 6.325163+3 1.678804-4 6.030313+3 1.717908-4 5.793409+3 1.757924-4 5.605925+3 1.798871-4 5.460990+3 1.844600-4 5.344936+3 1.883649-4 5.277432+3 1.927525-4 5.230395+3 1.972423-4 5.208674+3 2.000000-4 5.206620+3 2.065380-4 5.181175+3 2.137962-4 5.189747+3 2.213095-4 5.230924+3 2.301000-4 5.311293+3 2.398833-4 5.430905+3 2.540973-4 5.641138+3 2.917427-4 6.240931+3 3.000000-4 6.355596+3 3.198895-4 6.432561+3 3.388442-4 6.458598+3 3.589219-4 6.441158+3 3.801894-4 6.378644+3 4.027170-4 6.270330+3 4.265795-4 6.124450+3 4.518559-4 5.945607+3 4.786301-4 5.738730+3 5.128614-4 5.460739+3 5.495409-4 5.158718+3 5.888437-4 4.840701+3 6.382635-4 4.459353+3 6.839116-4 4.129293+3 7.328245-4 3.799596+3 7.943282-4 3.422069+3 8.609938-4 3.059271+3 9.440609-4 2.669664+3 1.023293-3 2.352563+3 1.109175-3 2.058341+3 1.202264-3 1.789282+3 1.318257-3 1.514355+3 1.445440-3 1.272060+3 1.584893-3 1.060297+3 1.737801-3 8.768587+2 1.883649-3 7.376948+2 2.018366-3 6.328312+2 2.213095-3 5.113447+2 2.454709-3 3.991114+2 2.786121-3 2.923876+2 3.054921-3 2.317652+2 3.388442-3 1.770859+2 3.758374-3 1.342793+2 4.168694-3 1.010729+2 4.623810-3 7.553643+1 5.128614-3 5.605906+1 5.688529-3 4.132217+1 6.309573-3 3.025676+1 7.079458-3 2.123728+1 7.943282-3 1.478975+1 8.912509-3 1.022247+1 1.000000-2 7.012465+0 1.122018-2 4.774554+0 1.258925-2 3.225860+0 1.412538-2 2.164254+0 1.603245-2 1.384716+0 1.819701-2 8.793609-1 2.065380-2 5.544496-1 2.371374-2 3.326440-1 2.722701-2 1.980908-1 3.126079-2 1.171436-1 3.672823-2 6.295191-2 4.365158-2 3.210749-2 5.248075-2 1.554014-2 6.918310-2 5.177483-3 1.047129-1 9.920404-4 1.273503-1 4.572798-4 1.500000-1 2.410100-4 1.717908-1 1.427204-4 1.949845-1 8.811391-5 2.187762-1 5.721906-5 2.426610-1 3.904262-5 2.691535-1 2.682220-5 2.985383-1 1.856662-5 3.273407-1 1.347964-5 3.589219-1 9.853453-6 3.935501-1 7.255026-6 4.315191-1 5.381574-6 4.677351-1 4.171810-6 5.069907-1 3.256500-6 5.495409-1 2.561413-6 6.000000-1 1.986700-6 6.531306-1 1.564287-6 7.079458-1 1.254802-6 7.673615-1 1.013333-6 8.511380-1 7.753533-7 9.015711-1 6.719538-7 9.549926-1 5.861074-7 1.000000+0 5.282500-7 1.059254+0 4.670624-7 1.135011+0 4.058917-7 1.230269+0 3.474707-7 1.348963+0 2.932728-7 1.737801+0 1.872774-7 1.949845+0 1.536587-7 2.213095+0 1.246000-7 2.540973+0 9.987136-8 2.917427+0 8.064182-8 3.349654+0 6.558602-8 3.890451+0 5.282330-8 4.570882+0 4.217789-8 5.432503+0 3.340210-8 6.456542+0 2.665395-8 7.852356+0 2.081158-8 9.772372+0 1.593441-8 1.202264+1 1.245751-8 1.531087+1 9.426359-9 2.000000+1 6.983900-9 2.754229+1 4.921227-9 4.168694+1 3.163213-9 6.237348+1 2.076318-9 9.660509+1 1.322596-9 1.905461+2 6.62658-10 3.801894+2 3.30079-10 1.513561+3 8.25169-11 1.000000+5 1.24700-12 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 5.180000-6 5.180000-6 1.000000+5 5.180000-6 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 5.180000-6 0.0 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 6.860000-6 5.555900+6 7.585776-6 3.633464+6 8.413951-6 2.326954+6 9.332543-6 1.477377+6 1.023293-5 9.790744+5 1.122018-5 6.439948+5 1.230269-5 4.206527+5 1.531087-5 1.507727+5 1.621810-5 1.156435+5 1.698244-5 9.404992+4 1.770000-5 7.861800+4 1.830000-5 6.846060+4 1.883649-5 6.105160+4 1.929400-5 5.575650+4 1.990000-5 4.993400+4 2.041738-5 4.586004+4 2.090000-5 4.267380+4 2.137962-5 4.000158+4 2.190000-5 3.757340+4 2.250000-5 3.528200+4 2.300000-5 3.371960+4 2.350000-5 3.242160+4 2.420000-5 3.097320+4 2.483133-5 2.996939+4 2.540973-5 2.925357+4 2.610000-5 2.860680+4 2.691535-5 2.807371+4 2.786121-5 2.769357+4 2.900000-5 2.747860+4 3.019952-5 2.744507+4 3.198895-5 2.760555+4 3.801894-5 2.847042+4 4.120975-5 2.869403+4 4.415704-5 2.868195+4 4.677351-5 2.850262+4 4.954502-5 2.815667+4 5.300000-5 2.754740+4 5.650000-5 2.679240+4 6.025596-5 2.588228+4 6.456542-5 2.476806+4 6.918310-5 2.354047+4 7.500000-5 2.202760+4 8.222426-5 2.027362+4 9.120108-5 1.832115+4 1.047129-4 1.587418+4 1.303167-4 1.250595+4 1.949845-4 8.031716+3 2.137962-4 7.219373+3 2.371374-4 6.354728+3 2.660725-4 5.472235+3 3.126079-4 4.397773+3 4.897788-4 2.346570+3 5.754399-4 1.854071+3 8.317638-4 1.071387+3 9.885531-4 8.220137+2 1.273503-3 5.530386+2 1.548817-3 4.043969+2 1.883649-3 2.934054+2 2.264644-3 2.153524+2 2.722701-3 1.569214+2 3.273407-3 1.135124+2 4.027170-3 7.818901+1 4.954502-3 5.344465+1 6.025596-3 3.701553+1 7.328245-3 2.544644+1 8.912509-3 1.736304+1 1.096478-2 1.149173+1 1.318257-2 7.905748+0 1.584893-2 5.398777+0 1.905461-2 3.658537+0 2.290868-2 2.459824+0 2.722701-2 1.683053+0 3.235937-2 1.143185+0 3.845918-2 7.707310-1 4.570882-2 5.158009-1 5.370318-2 3.521129-1 6.456542-2 2.257950-1 7.762471-2 1.436859-1 9.332543-2 9.067908-2 1.161449-1 5.207286-2 1.513561-1 2.639279-2 2.426610-1 7.770118-3 3.019952-1 4.437721-3 3.589219-1 2.870642-3 4.168694-1 1.982344-3 4.786301-1 1.419148-3 5.432503-1 1.052046-3 6.095369-1 8.066704-4 6.839117-1 6.228254-4 7.673615-1 4.842399-4 8.609938-1 3.791593-4 9.549926-1 3.062823-4 1.083927+0 2.380109-4 1.250000+0 1.804400-4 1.412538+0 1.434054-4 1.584893+0 1.163237-4 1.798871+0 9.315949-5 2.044000+0 7.504800-5 2.344229+0 5.998828-5 2.691535+0 4.823545-5 3.090295+0 3.907095-5 3.589219+0 3.133966-5 4.168694+0 2.532700-5 4.897788+0 2.028855-5 5.821032+0 1.611477-5 6.918310+0 1.289759-5 8.317638+0 1.024463-5 1.059254+1 7.646184-6 1.303167+1 5.994683-6 1.659587+1 4.547426-6 2.162719+1 3.385706-6 2.951209+1 2.414859-6 4.415704+1 1.573390-6 6.998420+1 9.738925-7 1.148154+2 5.859486-7 2.290868+2 2.906778-7 4.570882+2 1.449684-7 1.819701+3 3.626603-8 1.000000+5 6.59050-10 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 6.860000-6 6.860000-6 1.000000+5 6.860000-6 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 6.860000-6 0.0 1.000000+5 1.000000+5 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 4.247100-7 1.026600+0 1.353810-6 1.027100+0 1.841890-6 1.027500+0 2.306940-6 1.028100+0 3.140860-6 1.028750+0 4.247100-6 1.029500+0 5.812270-6 1.030100+0 7.309630-6 1.031000+0 1.000210-5 1.032000+0 1.368530-5 1.033200+0 1.917080-5 1.034000+0 2.353400-5 1.035300+0 3.194400-5 1.036640+0 4.247100-5 1.038200+0 5.731600-5 1.039700+0 7.446490-5 1.041500+0 9.907470-5 1.043800+0 1.375190-4 1.046400+0 1.913320-4 1.048300+0 2.382130-4 1.051200+0 3.231310-4 1.054080+0 4.247100-4 1.057700+0 5.789080-4 1.061100+0 7.530160-4 1.065100+0 9.969140-4 1.070400+0 1.390810-3 1.076200+0 1.922100-3 1.080600+0 2.400380-3 1.087100+0 3.234090-3 1.093710+0 4.247100-3 1.102600+0 5.888320-3 1.110700+0 7.679180-3 1.120600+0 1.027180-2 1.133300+0 1.428120-2 1.147500+0 1.971700-2 1.158200+0 2.450310-2 1.174100+0 3.275150-2 1.190110+0 4.247100-2 1.205100+0 5.288140-2 1.227500+0 7.079270-2 1.250000+0 9.144000-2 1.265600+0 1.071400-1 1.294900+0 1.393490-1 1.331800+0 1.841830-1 1.362600+0 2.245260-1 1.397000+0 2.720710-1 1.433800+0 3.252880-1 1.500000+0 4.264000-1 1.562500+0 5.281340-1 1.617200+0 6.216070-1 1.712900+0 7.928710-1 1.838500+0 1.026980+0 1.946200+0 1.230770+0 2.000000+0 1.332000+0 2.044000+0 1.414000+0 2.163500+0 1.634550+0 2.372600+0 2.011960+0 2.647100+0 2.487510+0 3.000000+0 3.065000+0 3.500000+0 3.822070+0 4.000000+0 4.515000+0 4.750000+0 5.448100+0 5.000000+0 5.735000+0 6.000000+0 6.783000+0 7.000000+0 7.708000+0 8.000000+0 8.540000+0 9.000000+0 9.296000+0 1.000000+1 9.990000+0 1.100000+1 1.063000+1 1.200000+1 1.123000+1 1.300000+1 1.179000+1 1.400000+1 1.231000+1 1.500000+1 1.279000+1 1.600000+1 1.324000+1 1.800000+1 1.405000+1 2.000000+1 1.478000+1 2.200000+1 1.544000+1 2.400000+1 1.603000+1 2.600000+1 1.658000+1 2.800000+1 1.708000+1 3.000000+1 1.755000+1 4.000000+1 1.943000+1 5.000000+1 2.083000+1 6.000000+1 2.192000+1 8.000000+1 2.352000+1 1.000000+2 2.465000+1 1.500000+2 2.643000+1 2.000000+2 2.749000+1 3.000000+2 2.872000+1 4.000000+2 2.942000+1 5.000000+2 2.988000+1 6.000000+2 3.021000+1 8.000000+2 3.065000+1 1.000000+3 3.093000+1 1.500000+3 3.134000+1 2.000000+3 3.156000+1 3.000000+3 3.180000+1 4.000000+3 3.193000+1 5.000000+3 3.201000+1 6.000000+3 3.207000+1 8.000000+3 3.214000+1 1.000000+4 3.219000+1 1.500000+4 3.225000+1 2.000000+4 3.229000+1 3.000000+4 3.232000+1 4.000000+4 3.234000+1 5.000000+4 3.236000+1 6.000000+4 3.236000+1 8.000000+4 3.237000+1 1.000000+5 3.238000+1 1 72000 7 8 1.784900+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 7.212540-7 2.094700+0 1.269790-6 2.099900+0 1.689280-6 2.106600+0 2.349920-6 2.114000+0 3.251420-6 2.119500+0 4.047990-6 2.127900+0 5.489840-6 2.136250+0 7.212540-6 2.147000+0 9.888900-6 2.156900+0 1.284450-5 2.169000+0 1.714180-5 2.184500+0 2.382770-5 2.201800+0 3.296630-5 2.214800+0 4.107340-5 2.234200+0 5.525100-5 2.253680+0 7.212540-5 2.281500+0 1.010240-4 2.307000+0 1.326950-4 2.338200+0 1.784190-4 2.377400+0 2.470890-4 2.410200+0 3.142560-4 2.446800+0 3.997510-4 2.485900+0 5.033090-4 2.532900+0 6.441290-4 2.556430+0 7.212540-4 2.611900+0 9.196880-4 2.660400+0 1.111860-3 2.745300+0 1.488180-3 2.809000+0 1.802290-3 2.904500+0 2.321790-3 3.000000+0 2.898000-3 3.125000+0 3.736520-3 3.234400+0 4.545980-3 3.425800+0 6.120280-3 3.569300+0 7.420010-3 3.784700+0 9.535830-3 4.000000+0 1.181000-2 4.250000+0 1.459050-2 4.625000+0 1.895990-2 5.000000+0 2.350000-2 5.500000+0 2.972500-2 6.000000+0 3.603000-2 6.750000+0 4.541450-2 7.000000+0 4.850000-2 8.000000+0 6.055000-2 9.000000+0 7.206000-2 1.000000+1 8.298000-2 1.100000+1 9.330000-2 1.200000+1 1.030000-1 1.300000+1 1.122000-1 1.400000+1 1.208000-1 1.500000+1 1.291000-1 1.600000+1 1.368000-1 1.800000+1 1.513000-1 2.000000+1 1.643000-1 2.200000+1 1.763000-1 2.400000+1 1.872000-1 2.600000+1 1.973000-1 2.800000+1 2.066000-1 3.000000+1 2.153000-1 4.000000+1 2.510000-1 5.000000+1 2.778000-1 6.000000+1 2.989000-1 8.000000+1 3.305000-1 1.000000+2 3.533000-1 1.500000+2 3.907000-1 2.000000+2 4.138000-1 3.000000+2 4.419000-1 4.000000+2 4.587000-1 5.000000+2 4.700000-1 6.000000+2 4.784000-1 8.000000+2 4.898000-1 1.000000+3 4.974000-1 1.500000+3 5.087000-1 2.000000+3 5.151000-1 3.000000+3 5.221000-1 4.000000+3 5.262000-1 5.000000+3 5.287000-1 6.000000+3 5.305000-1 8.000000+3 5.328000-1 1.000000+4 5.343000-1 1.500000+4 5.363000-1 2.000000+4 5.375000-1 3.000000+4 5.386000-1 4.000000+4 5.393000-1 5.000000+4 5.397000-1 6.000000+4 5.400000-1 8.000000+4 5.403000-1 1.000000+5 5.405000-1 1 72000 7 8 1.784900+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 72000 7 9 1.784900+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 7.200000+1 1.000000+5 7.200000+1 5.000000+5 7.195900+1 1.000000+6 7.191700+1 1.500000+6 7.186700+1 1.875000+6 7.179450+1 2.000000+6 7.176600+1 2.375000+6 7.166660+1 2.500000+6 7.163700+1 2.875000+6 7.151820+1 3.000000+6 7.148200+1 3.437500+6 7.132140+1 3.812500+6 7.117320+1 4.000000+6 7.110200+1 4.500000+6 7.089190+1 5.000000+6 7.066000+1 5.500000+6 7.040190+1 5.875000+6 7.019460+1 6.437500+6 6.986790+1 6.500000+6 6.982860+1 7.000000+6 6.952800+1 7.500000+6 6.921300+1 8.250000+6 6.873810+1 9.000000+6 6.825900+1 1.000000+7 6.760100+1 1.125000+7 6.675250+1 1.250000+7 6.588800+1 1.500000+7 6.413500+1 1.750000+7 6.243400+1 2.000000+7 6.070100+1 2.250000+7 5.895930+1 2.375000+7 5.808770+1 2.500000+7 5.722900+1 2.875000+7 5.466770+1 3.000000+7 5.382800+1 3.437500+7 5.093840+1 3.500000+7 5.053900+1 3.812500+7 4.858430+1 4.000000+7 4.746000+1 4.500000+7 4.462100+1 5.000000+7 4.200300+1 5.500000+7 3.957900+1 5.750000+7 3.842820+1 6.000000+7 3.732000+1 6.500000+7 3.520530+1 7.000000+7 3.322500+1 7.750000+7 3.049140+1 8.000000+7 2.964700+1 9.000000+7 2.657200+1 1.000000+8 2.397800+1 1.187500+8 2.024110+1 1.250000+8 1.928200+1 1.375000+8 1.771190+1 1.437500+8 1.706350+1 1.500000+8 1.648800+1 1.718800+8 1.484060+1 1.750000+8 1.462820+1 1.875000+8 1.379220+1 1.906300+8 1.358330+1 1.968800+8 1.316320+1 2.000000+8 1.295200+1 2.250000+8 1.131040+1 2.500000+8 1.001900+1 2.750000+8 9.068610+0 2.859400+8 8.648080+0 2.875000+8 8.585610+0 2.953100+8 8.257300+0 3.000000+8 8.048500+0 3.062500+8 7.756950+0 3.335900+8 6.569450+0 3.418000+8 6.297050+0 3.500000+8 6.078400+0 3.589800+8 5.900530+0 3.712900+8 5.726080+0 4.000000+8 5.413800+0 4.125000+8 5.253780+0 4.234400+8 5.099540+0 5.000000+8 4.084600+0 5.250000+8 3.857890+0 5.718800+8 3.499230+0 5.906300+8 3.357280+0 6.000000+8 3.284200+0 6.250000+8 3.083130+0 6.718800+8 2.740170+0 6.906300+8 2.629250+0 7.000000+8 2.580600+0 7.250000+8 2.471810+0 7.718800+8 2.298530+0 7.906300+8 2.226030+0 8.000000+8 2.187400+0 8.125000+8 2.132780+0 8.359400+8 2.024690+0 8.564500+8 1.928390+0 9.461700+8 1.556690+0 9.730800+8 1.471810+0 1.000000+9 1.401000+0 1.015600+9 1.366460+0 1.045900+9 1.310900+0 1.074300+9 1.269770+0 1.113400+9 1.226260+0 1.125800+9 1.214990+0 1.375000+9 1.096980+0 1.500000+9 1.042700+0 1.562500+9 1.006970+0 1.617200+9 9.722040-1 1.665000+9 9.402060-1 1.748800+9 8.825740-1 1.811600+9 8.395680-1 1.905800+9 7.772050-1 2.000000+9 7.188900-1 2.139200+9 6.414140-1 2.272600+9 5.761420-1 2.443000+9 5.038210-1 2.602800+9 4.456550-1 2.825100+9 3.776130-1 2.961100+9 3.421950-1 3.215900+9 2.861140-1 3.438900+9 2.460590-1 3.500000+9 2.362950-1 3.719500+9 2.049690-1 3.954200+9 1.769510-1 4.215700+9 1.510990-1 4.495800+9 1.283880-1 4.831900+9 1.064520-1 5.000000+9 9.723600-2 5.375000+9 7.999030-2 5.703100+9 6.794730-2 6.277300+9 5.189730-2 7.138700+9 3.588560-2 8.000000+9 2.575600-2 1.00000+10 1.338700-2 1.41360+10 4.867490-3 1.85560+10 2.208450-3 2.64460+10 7.940470-4 3.56400+10 3.373820-4 4.74390+10 1.491910-4 6.62110+10 5.793030-5 1.00000+11 1.811800-5 1.34280+11 7.932830-6 2.20600+11 1.990820-6 4.19930+11 3.364240-7 1.03480+12 2.854910-8 3.24440+12 1.294240-9 1.00000+14 1.32720-13 3.16230+15 1.20990-17 1.00000+17 1.04180-21 1 72000 7 0 1.784900+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 9.00000-12 1.000000+2 9.00000-10 1.000000+3 9.000000-8 1.000000+4 9.000000-6 1.000000+5 9.000000-4 5.000000+5 2.250000-2 1.000000+6 9.000000-2 1.500000+6 1.998000-1 1.875000+6 3.085490-1 2.000000+6 3.495000-1 2.375000+6 4.853670-1 2.500000+6 5.348000-1 2.875000+6 6.943690-1 3.000000+6 7.511000-1 3.437500+6 9.617250-1 3.812500+6 1.155280+0 4.000000+6 1.256000+0 4.500000+6 1.534090+0 5.000000+6 1.823000+0 5.500000+6 2.118040+0 5.875000+6 2.341200+0 6.437500+6 2.676340+0 6.500000+6 2.713590+0 7.000000+6 3.008900+0 7.500000+6 3.299700+0 8.250000+6 3.726940+0 9.000000+6 4.142400+0 1.000000+7 4.679000+0 1.125000+7 5.329990+0 1.250000+7 5.969500+0 1.500000+7 7.245000+0 1.750000+7 8.531800+0 2.000000+7 9.815000+0 2.250000+7 1.107530+1 2.375000+7 1.169370+1 2.500000+7 1.230500+1 2.875000+7 1.408720+1 3.000000+7 1.466700+1 3.437500+7 1.663970+1 3.500000+7 1.691540+1 3.812500+7 1.825610+1 4.000000+7 1.903700+1 4.500000+7 2.101710+1 5.000000+7 2.285000+1 5.500000+7 2.453920+1 5.750000+7 2.533780+1 6.000000+7 2.611000+1 6.500000+7 2.758500+1 7.000000+7 2.898900+1 7.750000+7 3.098190+1 8.000000+7 3.162400+1 9.000000+7 3.407000+1 1.000000+8 3.635400+1 1.187500+8 4.025920+1 1.250000+8 4.146500+1 1.375000+8 4.373430+1 1.437500+8 4.480040+1 1.500000+8 4.581700+1 1.718800+8 4.898710+1 1.750000+8 4.939560+1 1.875000+8 5.092070+1 1.906300+8 5.127400+1 1.968800+8 5.195580+1 2.000000+8 5.228500+1 2.250000+8 5.459190+1 2.500000+8 5.647500+1 2.750000+8 5.803920+1 2.859400+8 5.865120+1 2.875000+8 5.873280+1 2.953100+8 5.913640+1 3.000000+8 5.937500+1 3.062500+8 5.967490+1 3.335900+8 6.088410+1 3.418000+8 6.121180+1 3.500000+8 6.153300+1 3.589800+8 6.186060+1 3.712900+8 6.229940+1 4.000000+8 6.322700+1 4.125000+8 6.359380+1 4.234400+8 6.390750+1 5.000000+8 6.575500+1 5.250000+8 6.624840+1 5.718800+8 6.706970+1 5.906300+8 6.735320+1 6.000000+8 6.749200+1 6.250000+8 6.782880+1 6.718800+8 6.836980+1 6.906300+8 6.855980+1 7.000000+8 6.865300+1 7.250000+8 6.886920+1 7.718800+8 6.923150+1 7.906300+8 6.935890+1 8.000000+8 6.941900+1 8.125000+8 6.949110+1 8.359400+8 6.962360+1 8.564500+8 6.973190+1 9.461700+8 7.011730+1 9.730800+8 7.021540+1 1.000000+9 7.031100+1 1.015600+9 7.035790+1 1.045900+9 7.044700+1 1.074300+9 7.052830+1 1.113400+9 7.063690+1 1.125800+9 7.066710+1 1.375000+9 7.114580+1 1.500000+9 7.132300+1 1.562500+9 7.139060+1 1.617200+9 7.144760+1 1.665000+9 7.149590+1 1.748800+9 7.157050+1 1.811600+9 7.161530+1 1.905800+9 7.167970+1 2.000000+9 7.174100+1 2.139200+9 7.180470+1 2.272600+9 7.185120+1 2.443000+9 7.189930+1 2.602800+9 7.193510+1 2.825100+9 7.196830+1 2.961100+9 7.197890+1 3.215900+9 7.199460+1 3.438900+9 7.200410+1 3.500000+9 7.200390+1 3.719500+9 7.200290+1 3.954200+9 7.200190+1 4.215700+9 7.200080+1 4.495800+9 7.199970+1 4.831900+9 7.199860+1 5.000000+9 7.199800+1 5.375000+9 7.199830+1 5.703100+9 7.199860+1 6.277300+9 7.199900+1 7.138700+9 7.199950+1 8.000000+9 7.200000+1 1.00000+10 7.200000+1 1.41360+10 7.200000+1 1.85560+10 7.200000+1 2.64460+10 7.200000+1 3.56400+10 7.200000+1 4.74390+10 7.200000+1 6.62110+10 7.200000+1 1.00000+11 7.200000+1 1.34280+11 7.200000+1 2.20600+11 7.200000+1 4.19930+11 7.200000+1 1.03480+12 7.200000+1 3.24440+12 7.200000+1 1.00000+14 7.200000+1 3.16230+15 7.200000+1 1.00000+17 7.200000+1 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.100766-6 0.0 1.103475-6 1.441777-8 1.106185-6 2.852880-8 1.108894-6 5.211018-8 1.111604-6 8.786492-8 1.114313-6 1.367610-7 1.117022-6 1.965002-7 1.119732-6 2.606259-7 1.122441-6 3.190995-7 1.125151-6 3.606521-7 1.127860-6 3.762745-7 1.130569-6 3.623891-7 1.133279-6 3.221805-7 1.135988-6 2.644097-7 1.141407-6 1.400863-7 1.144116-6 9.043484-8 1.146826-6 5.389269-8 1.149535-6 2.964681-8 1.152245-6 1.505498-8 1.154954-6 0.0 1.664676-6 0.0 1.665769-6 8.44408-16 1.669869-6 8.902119-8 1.673969-6 1.761484-7 1.678069-6 3.217494-7 1.682170-6 5.425138-7 1.686270-6 8.444182-7 1.698570-6 1.970250-6 1.702670-6 2.226813-6 1.706770-6 2.323272-6 1.710870-6 2.237537-6 1.714970-6 1.989273-6 1.727270-6 8.649498-7 1.731370-6 5.583815-7 1.735471-6 3.327554-7 1.739571-6 1.830515-7 1.743671-6 9.295556-8 1.747771-6 0.0 1.981000-6 0.0 1.988314-6 4.142522-1 1.990752-6 5.505847-1 1.995628-6 1.005688+0 2.000504-6 1.695728+0 2.005990-6 2.783198+0 2.014446-6 4.855495+0 2.020618-6 6.258419+0 2.025332-6 6.987940+0 2.030277-6 7.233483+0 2.035267-6 6.893690+0 2.040513-6 5.989365+0 2.048739-6 3.999367+0 2.054140-6 2.703562+0 2.059321-6 1.701347+0 2.063892-6 1.040089+0 2.068768-6 5.721616-1 2.075777-6 1.636025-1 2.078520-6 0.0 2.229679-6 0.0 2.237911-6 2.463922-1 2.240655-6 3.274811-1 2.246143-6 5.981711-1 2.251632-6 1.008599+0 2.257806-6 1.655413+0 2.267324-6 2.887989+0 2.274270-6 3.722432+0 2.279908-6 4.167181+0 2.285142-6 4.302388+0 2.290938-6 4.085124+0 2.296424-6 3.591178+0 2.304850-6 2.522559+0 2.312000-6 1.608046+0 2.317831-6 1.011940+0 2.322977-6 6.186325-1 2.328636-6 3.350924-1 2.336354-6 9.730879-2 2.339441-6 0.0 2.546003-6 0.0 2.552270-6 3.149187-2 2.558537-6 6.231372-2 2.564803-6 1.138211-1 2.571070-6 1.919180-1 2.577337-6 2.987188-1 2.586737-6 4.991524-1 2.596137-6 6.969897-1 2.602403-6 7.877506-1 2.608670-6 8.218737-1 2.614937-6 7.915445-1 2.621203-6 7.037194-1 2.631387-6 4.901116-1 2.640003-6 3.059820-1 2.646270-6 1.975313-1 2.652537-6 1.177145-1 2.658803-6 6.475574-2 2.668203-6 1.646117-2 2.671337-6 0.0 2.928518-6 0.0 2.935726-6 3.487880-8 2.942935-6 6.901552-8 2.950143-6 1.260625-7 2.957351-6 2.125587-7 2.964559-6 3.308458-7 2.971767-6 4.753641-7 2.978975-6 6.304940-7 2.986184-6 7.719505-7 2.993392-6 8.724727-7 3.000600-6 9.102656-7 3.007808-6 8.766746-7 3.015016-6 7.794040-7 3.022225-6 6.396476-7 3.036641-6 3.388902-7 3.043849-6 2.187757-7 3.051057-6 1.303747-7 3.058265-6 7.172018-8 3.065474-6 3.642030-8 3.072682-6 0.0 3.330455-6 0.0 3.345825-6 3.758759+0 3.346850-6 4.007036+0 3.355048-6 7.319178+0 3.363245-6 1.234114+1 3.372467-6 2.025551+1 3.386685-6 3.533723+1 3.396547-6 4.518334+1 3.404985-6 5.085670+1 3.413583-6 5.257616+1 3.421781-6 5.010676+1 3.430508-6 4.358930+1 3.444337-6 2.910652+1 3.453417-6 1.967594+1 3.462127-6 1.238203+1 3.469812-6 7.569543+0 3.478010-6 4.164068+0 3.489794-6 1.190663+0 3.494405-6 2.121367-9 3.508603-6 3.595053-8 3.510719-6 4.094351-8 3.519318-6 7.478668-8 3.527917-6 1.261006-7 3.536516-6 1.962746-7 3.545115-6 2.820101-7 3.553713-6 3.740411-7 3.562312-6 4.579602-7 3.570911-6 5.175951-7 3.579510-6 5.400158-7 3.588109-6 5.200879-7 3.596708-6 4.623820-7 3.622504-6 2.010470-7 3.631103-6 1.297891-7 3.639702-6 7.734520-8 3.646769-6 4.875790-8 3.664722-6 8.137690+0 3.673698-6 1.488799+1 3.682674-6 2.511289+1 3.693511-6 4.266165+1 3.719516-6 9.252428+1 3.729749-6 1.043282+2 3.739084-6 1.066510+2 3.747666-6 1.012157+2 3.756588-6 8.868553+1 3.781410-6 4.046625+1 3.790386-6 2.618739+1 3.799362-6 1.565180+1 3.808338-6 8.640871+0 3.826291-6 6.358487-2 3.828040-6 5.486801-2 3.842829-6 1.007130-2 3.846085-6 7.325534-8 3.853059-6 0.0 4.148236-6 0.0 4.158447-6 1.329068-2 4.168657-6 2.629858-2 4.178867-6 4.803651-2 4.189078-6 8.099616-2 4.199288-6 1.260699-1 4.208552-6 1.760217-1 4.282704-6 7.566787-1 4.301781-6 8.751158-1 4.315308-6 9.017102-1 4.325800-6 8.824623-1 4.336293-6 8.247060-1 4.350324-6 6.953603-1 4.378262-6 3.914280-1 4.386836-6 3.053049-1 4.395011-6 2.330645-1 4.409740-6 1.286225-1 4.415728-6 8.999146-2 4.423654-6 6.282160-2 4.434130-6 3.590134-2 4.438902-6 2.717166-2 4.444606-6 1.879384-2 4.456113-6 8.605680-3 4.465557-6 2.707902-8 4.466591-6 2.225568-8 4.472695-6 0.0 4.507386-6 0.0 4.507396-6 7.150928-7 4.529585-6 3.382967-2 4.532879-6 4.211759-2 4.541053-6 6.638985-2 4.552148-6 1.135586-1 4.563244-6 1.782485-1 4.587018-6 3.585919-1 4.596529-6 4.338165-1 4.607625-6 5.008228-1 4.618720-6 5.361434-1 4.629815-6 5.325882-1 4.640911-6 4.912942-1 4.655607-6 3.952107-1 4.673812-6 2.558727-1 4.685292-6 1.874672-1 4.695991-6 1.423298-1 4.704547-6 1.230195-1 4.708009-6 1.193541-1 4.716041-6 1.199970-1 4.727269-6 1.346023-1 4.729997-6 1.419054-1 4.763921-6 2.942315-1 4.784740-6 3.709275-1 4.812140-6 4.008092-1 4.823323-6 4.097695-1 4.834854-6 4.392501-1 4.847994-6 5.013293-1 4.881366-6 6.990201-1 4.895030-6 7.357295-1 4.909470-6 7.245786-1 4.926437-6 6.606188-1 4.961547-6 4.687309-1 4.979877-6 4.006291-1 5.006142-6 3.452824-1 5.026063-6 3.361122-1 5.066773-6 3.324784-1 5.102882-6 3.484624-1 5.125440-6 3.752602-1 5.147651-6 4.337591-1 5.174498-6 5.306017-1 5.188968-6 5.716673-1 5.201060-6 5.906831-1 5.213720-6 5.909784-1 5.241950-6 5.370435-1 5.249002-6 5.180013-1 5.274842-6 5.959869-1 5.287762-6 6.973259-1 5.300681-6 8.690059-1 5.316665-6 1.182633+0 5.331893-6 1.551986+0 5.368268-6 3.186188+0 5.388576-6 4.329407+0 5.437797-6 7.702623+0 5.454001-6 8.243584+0 5.465000-6 8.256587+0 5.479881-6 7.640308+0 5.493741-6 6.601888+0 5.525550-6 3.615659+0 5.540187-6 2.496259+0 5.542402-6 2.335864+0 5.554488-6 1.674061+0 5.567943-6 1.191638+0 5.593894-6 6.189186-1 5.762503-6 6.507901-1 5.887750-6 7.045599-1 5.921812-6 7.534948-1 5.950964-6 9.942597-1 5.965539-6 1.186709+0 5.984755-6 1.566992+0 6.008103-6 2.163061+0 6.032134-6 2.780617+0 6.039424-6 2.944804+0 6.054002-6 3.144448+0 6.070402-6 3.154939+0 6.086803-6 2.951553+0 6.102343-6 2.609165+0 6.141471-6 1.587721+0 6.156049-6 1.297736+0 6.169601-6 1.096233+0 6.184176-6 9.566393-1 6.198752-6 8.847555-1 6.213328-6 8.438416-1 6.229172-6 8.948710-1 6.244430-6 9.721485-1 6.259687-6 1.084336+0 6.279315-6 1.283215+0 6.320716-6 1.753714+0 6.335973-6 1.863475+0 6.351230-6 1.900730+0 6.366756-6 1.872611+0 6.421336-6 1.476811+0 6.429133-6 1.433153+0 6.444727-6 1.396310+0 6.483071-6 1.470412+0 6.522698-6 1.557831+0 6.602989-6 1.523379+0 6.839436-6 1.512993+0 7.852356-6 1.591710+0 9.417933-6 1.825974+0 1.347147-5 2.549504+0 1.610000-5 2.859005+0 1.883649-5 2.949463+0 1.964155-5 2.937505+0 1.973824-5 4.264214+0 1.978658-5 5.361163+0 1.984097-5 7.309146+0 1.988861-5 9.617052+0 2.003133-5 1.791133+1 2.008658-5 1.987330+1 2.013191-5 2.035782+1 2.018117-5 1.949866+1 2.023533-5 1.716767+1 2.036673-5 9.437648+0 2.042111-5 6.910007+0 2.046342-5 5.418202+0 2.051478-5 4.244094+0 2.060970-5 2.901250+0 2.092989-5 2.908215+0 2.103052-5 3.860507+0 2.108525-5 4.744470+0 2.113676-5 5.998286+0 2.119430-5 7.938447+0 2.134119-5 1.387184+1 2.139686-5 1.531191+1 2.145127-5 1.570543+1 2.150469-5 1.502957+1 2.155268-5 1.367833+1 2.170486-5 7.702394+0 2.175810-5 6.107611+0 2.180961-5 5.033959+0 2.186231-5 4.371140+0 2.196148-5 3.637898+0 2.206118-5 3.658668+0 2.212730-5 3.553155+0 2.233891-5 3.002788+0 2.250000-5 2.815018+0 2.274570-5 2.763866+0 2.342853-5 2.740699+0 2.364708-5 2.900587+0 2.384715-5 3.085428+0 2.400323-5 3.031667+0 2.423819-5 2.826063+0 2.469303-5 2.851870+0 2.529957-5 2.766282+0 2.557175-5 2.914833+0 2.578514-5 3.016614+0 2.616960-5 2.853652+0 2.695450-5 2.810716+0 3.159064-5 2.446388+0 3.174615-5 4.139898+0 3.182391-5 5.543532+0 3.190166-5 7.674746+0 3.197942-5 1.059145+1 3.215563-5 1.891048+1 3.223478-5 2.976658+1 3.231392-5 3.925136+1 3.240296-5 5.422507+1 3.248211-5 7.235296+1 3.255879-5 9.505596+1 3.279375-5 1.787300+2 3.288076-5 1.977418+2 3.295850-5 2.018185+2 3.303351-5 1.924969+2 3.311641-5 1.680025+2 3.334284-5 7.608003+1 3.342198-5 4.993173+1 3.350113-5 3.068588+1 3.358028-5 1.791436+1 3.371878-5 4.280305+0 3.373857-5 2.293751+0 3.508415-5 2.210415+0 3.525686-5 2.398283+0 3.534321-5 2.556918+0 3.542957-5 2.800086+0 3.551592-5 3.134544+0 3.577499-5 4.386050+0 3.594770-5 5.000786+0 3.617398-5 5.145067+0 3.629312-5 5.373311+0 3.643128-5 5.976207+0 3.663441-5 7.145558+0 3.672833-5 7.471357+0 3.687925-5 7.476035+0 3.721251-5 6.859803+0 3.768545-5 6.721517+0 3.850450-5 6.608539+0 3.968647-5 6.333177+0 3.988228-5 1.468489+1 3.998562-5 2.219838+1 4.008331-5 3.290215+1 4.018586-5 4.834939+1 4.047099-5 1.001169+2 4.057936-5 1.125413+2 4.067434-5 1.159971+2 4.076995-5 1.112789+2 4.087622-5 9.749930+1 4.114313-5 4.861723+1 4.124940-5 3.247099+1 4.134708-5 2.172890+1 4.144477-5 1.459340+1 4.164013-5 5.853333+0 4.319779-5 5.509163+0 4.360856-5 5.620948+0 4.400183-5 6.088674+0 4.464412-5 7.060508+0 4.490657-5 7.563670+0 4.515425-5 7.746520+0 4.583579-5 7.529868+0 4.671479-5 7.455773+0 5.032161-5 6.708679+0 5.548835-5 5.960033+0 6.090493-5 5.552179+0 6.755970-5 5.477115+0 6.948360-5 5.694354+0 7.081604-5 5.632668+0 7.980749-5 6.315940+0 9.151333-5 7.762356+0 1.288400-4 1.305787+1 1.557942-4 1.627559+1 1.851491-4 1.875178+1 2.082918-4 2.020579+1 2.128681-4 2.133435+1 2.193416-4 2.170474+1 2.238424-4 2.261554+1 2.507886-4 2.297703+1 3.621735-4 2.205592+1 3.671340-4 2.285073+1 3.711818-4 2.380565+1 3.802998-4 2.320171+1 4.507085-4 2.276777+1 5.180980-4 2.179396+1 5.292210-4 2.199550+1 8.185094-4 1.670681+1 1.008672-3 1.397827+1 1.275072-3 1.115329+1 1.555906-3 9.034866+0 1.631613-3 8.634082+0 1.641386-3 8.918539+0 1.647560-3 9.528264+0 1.653432-3 1.065735+1 1.659532-3 1.252052+1 1.679089-3 2.051921+1 1.688659-3 2.292432+1 1.713076-3 2.554139+1 1.741486-3 3.052373+1 1.760811-3 3.189331+1 1.827574-3 3.322575+1 1.915965-3 3.247342+1 2.056532-3 2.953063+1 2.079794-3 3.092223+1 2.099400-3 3.265017+1 2.128560-3 3.226572+1 2.308679-3 2.886272+1 2.369114-3 2.956247+1 2.552430-3 2.691959+1 2.630364-3 2.673843+1 3.063726-3 2.177067+1 3.570318-3 1.756908+1 4.027170-3 1.474380+1 4.677351-3 1.182118+1 5.413942-3 9.471604+0 6.178298-3 7.729033+0 7.025776-3 6.323776+0 7.886135-3 5.267444+0 9.000000-3 4.264958+0 9.328569-3 4.044008+0 9.392300-3 4.202517+0 9.430028-3 4.536595+0 9.468044-3 5.178694+0 9.512144-3 6.333362+0 9.585426-3 8.499017+0 9.636644-3 9.472695+0 9.694021-3 9.878762+0 9.939084-3 9.649710+0 1.054524-2 8.797853+0 1.063828-2 9.036700+0 1.071732-2 9.808429+0 1.081244-2 1.092184+1 1.090721-2 1.132206+1 1.114211-2 1.129495+1 1.136546-2 1.220706+1 1.364761-2 9.302223+0 1.565660-2 7.460722+0 1.764704-2 6.138643+0 1.997777-2 4.998792+0 2.268259-2 4.043309+0 2.496837-2 3.435727+0 2.810978-2 2.807210+0 3.191125-2 2.255577+0 3.599261-2 1.830468+0 4.053335-2 1.486862+0 4.563952-2 1.206280+0 5.126783-2 9.815253-1 5.742013-2 8.018419-1 6.383248-2 6.669450-1 6.421792-2 6.838543-1 6.444298-2 7.287903-1 6.462131-2 8.035359-1 6.476952-2 9.040095-1 6.491971-2 1.049114+0 6.512223-2 1.317426+0 6.545739-2 1.897024+0 6.578357-2 2.467998+0 6.609921-2 2.865862+0 6.646272-2 3.087802+0 6.702599-2 3.145476+0 7.936864-2 2.406549+0 9.122381-2 1.919130+0 1.029919-1 1.565341+0 1.145955-1 1.306590+0 1.310205-1 1.039146+0 1.445569-1 8.777205-1 1.624171-1 7.182029-1 1.812544-1 5.945784-1 2.036440-1 4.868018-1 2.283032-1 4.002463-1 2.560600-1 3.297854-1 2.873544-1 2.722017-1 3.224533-1 2.254479-1 3.631685-1 1.865624-1 4.082744-1 1.557204-1 4.587356-1 1.309378-1 5.180975-1 1.099952-1 5.897411-1 9.216162-2 6.755966-1 7.734092-2 7.629569-1 6.671209-2 8.829528-1 5.649676-2 1.070165+0 4.607690-2 1.228714+0 3.949374-2 1.416293+0 3.370983-2 1.619761+0 2.901471-2 1.859734+0 2.486929-2 2.135261+0 2.131613-2 2.451607+0 1.827062-2 2.814822+0 1.566024-2 3.231848+0 1.342281-2 3.710658+0 1.150505-2 4.260405+0 9.861282-3 4.891600+0 8.452368-3 5.616308+0 7.244750-3 6.507829+0 6.148825-3 7.752663+0 5.055861-3 8.901248+0 4.333513-3 9.760024+0 3.910241-3 1.000000+1 8.066340-3 1 72000 7 0 1.784900+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-7.177911+1 1.935968-6-6.996297+1 1.990752-6-6.765453+1 2.013761-6-6.684062+1 2.034988-6-7.165723+1 2.052083-6-6.894877+1 2.107343-6-7.197129+1 2.246830-6-6.893615+1 2.274270-6-6.943251+1 2.293694-6-7.173167+1 2.321047-6-7.096174+1 2.360342-6-7.172170+1 2.610237-6-7.018582+1 3.072682-6-6.626166+1 3.232550-6-6.161216+1 3.294411-6-5.678732+1 3.322656-6-5.183667+1 3.355048-6-3.954322+1 3.366063-6-3.553763+1 3.374260-6-3.422597+1 3.381689-6-3.516571+1 3.387838-6-3.790358+1 3.395603-6-4.392217+1 3.404489-6-5.433080+1 3.417711-6-7.212862+1 3.423408-6-6.446962+1 3.432747-6-5.488289+1 3.441690-6-4.954057+1 3.451688-6-4.806703+1 3.462127-6-5.052593+1 3.505076-6-6.763316+1 3.527917-6-7.192789+1 3.604823-6-5.847106+1 3.631103-6-5.086207+1 3.642794-6-4.528981+1 3.651883-6-3.830705+1 3.664060-6-3.052952+1 3.674820-6-2.210307+1 3.684476-6-1.567273+1 3.686532-6-1.479153+1 3.693511-6-1.290637+1 3.696547-6-1.295891+1 3.700505-6-1.412834+1 3.704741-6-1.651361+1 3.709308-6-2.039632+1 3.714016-6-2.603296+1 3.717295-6-3.133181+1 3.727692-6-5.351222+1 3.735038-6-7.230987+1 3.741273-6-5.537016+1 3.747119-6-4.080708+1 3.751155-6-3.169536+1 3.756588-6-2.085653+1 3.759149-6-1.659870+1 3.761241-6-1.370172+1 3.762809-6-1.177808+1 3.765162-6-9.232555+0 3.767514-6-7.028042+0 3.769251-6-5.627344+0 3.770771-6-4.590474+0 3.773431-6-3.155200+0 3.775426-6-2.395825+0 3.776922-6-2.014213+0 3.779166-6-1.784261+0 3.780288-6-1.863439+0 3.785898-6-3.502564+0 3.788142-6-4.323832+0 3.789264-6-4.879131+0 3.791508-6-6.513368+0 3.797399-6-1.001277+1 3.811502-6-2.064752+1 3.825039-6-2.926160+1 3.829481-6-3.306146+1 3.839572-6-3.810989+1 3.857671-6-4.379859+1 3.888065-6-4.950944+1 3.946632-6-5.540935+1 4.064804-6-6.083478+1 4.282704-6-6.499060+1 4.909470-6-6.836533+1 5.287762-6-7.123591+1 5.404145-6-7.265986+1 5.454001-6-6.908582+1 5.504162-6-6.444237+1 5.554488-6-6.490144+1 5.680214-6-6.783629+1 6.032134-6-6.999596+1 6.141471-6-6.784116+1 6.335973-6-6.930405+1 1.806240-5-7.069890+1 1.938176-5-6.750797+1 1.965024-5-6.435918+1 1.990738-5-5.961865+1 2.000945-5-6.200021+1 2.014015-5-7.064852+1 2.026028-5-6.313875+1 2.036163-5-6.153490+1 2.076230-5-6.947142+1 2.088572-5-7.041331+1 2.121279-5-6.514944+1 2.134119-5-6.745222+1 2.141362-5-7.073180+1 2.158240-5-6.306092+1 2.170486-5-6.194541+1 2.207440-5-6.628209+1 2.361060-5-7.046860+1 2.711052-5-6.692507+1 2.934730-5-6.059418+1 3.033566-5-5.473754+1 3.091115-5-4.854726+1 3.128178-5-4.193216+1 3.150418-5-3.573650+1 3.166839-5-2.866692+1 3.178503-5-2.260951+1 3.190166-5-1.530530+1 3.197942-5-9.975574+0 3.205717-5-4.275832+0 3.208179-5-2.294797+0 3.210025-5-7.076195-1 3.212794-5 1.977660+0 3.214178-5 3.571085+0 3.214871-5 4.498653+0 3.216058-5 6.593000+0 3.216985-5 7.853297+0 3.218608-5 9.652725+0 3.221043-5 1.186974+1 3.229414-5 1.799585+1 3.240296-5 2.830779+1 3.248211-5 3.437801+1 3.255879-5 3.663361+1 3.259927-5 3.502495+1 3.264370-5 3.040788+1 3.267771-5 2.511981+1 3.270375-5 2.000505+1 3.273298-5 1.303212+1 3.274694-5 9.174477+0 3.275763-5 5.940895+0 3.276526-5 3.469773+0 3.277703-5-7.035847-1 3.278292-5-3.016605+0 3.278586-5-4.269209+0 3.279375-5-8.008312+0 3.284013-5-2.734668+1 3.286208-5-3.780689+1 3.288076-5-4.837211+1 3.292705-5-7.105070+1 3.294925-5-5.803202+1 3.297762-5-4.273150+1 3.302017-5-2.147329+1 3.302872-5-1.624276+1 3.303351-5-1.359589+1 3.304250-5-9.113567+0 3.305036-5-5.467026+0 3.311641-5 2.259705+1 3.313056-5 2.756107+1 3.315626-5 3.512731+1 3.318979-5 4.298693+1 3.324031-5 5.138557+1 3.328516-5 5.566303+1 3.333202-5 5.654424+1 3.341209-5 5.041901+1 3.349247-5 3.922177+1 3.359017-5 2.313818+1 3.363345-5 1.711051+1 3.369900-5 8.711568+0 3.371878-5 5.830192+0 3.372868-5 4.195755+0 3.373362-5 3.274636+0 3.374368-5 9.720949-1 3.375327-5-7.087078-1 3.377004-5-3.159712+0 3.379520-5-6.253882+0 3.382035-5-8.922320+0 3.384117-5-1.090152+1 3.387238-5-1.357419+1 3.394522-5-1.880604+1 3.402847-5-2.360045+1 3.415333-5-2.926142+1 3.436144-5-3.620495+1 3.465280-5-4.301590+1 3.525686-5-5.257133+1 3.577499-5-5.803355+1 3.663441-5-6.264734+1 3.721251-5-6.348581+1 3.856036-5-7.112890+1 3.885930-5-7.328764+1 3.937620-5-6.287982+1 3.958483-5-5.568200+1 3.968245-5-4.994333+1 3.975504-5-4.469122+1 3.988228-5-3.678184+1 3.999707-5-2.835174+1 4.009475-5-2.224541+1 4.018586-5-1.895591+1 4.021545-5-1.878123+1 4.024711-5-1.933058+1 4.029236-5-2.117342+1 4.033963-5-2.440141+1 4.040190-5-3.076134+1 4.045400-5-3.812442+1 4.055439-5-5.792680+1 4.061117-5-7.164772+1 4.066558-5-5.796461+1 4.076098-5-3.482399+1 4.079074-5-2.774663+1 4.086477-5-1.312788+1 4.087622-5-1.106746+1 4.089625-5-7.902266+0 4.091128-5-5.772006+0 4.093381-5-2.868672+0 4.095635-5-1.901140-1 4.097970-5 2.253360+0 4.100013-5 4.028233+0 4.101800-5 5.360171+0 4.104928-5 7.226379+0 4.107274-5 8.242565+0 4.109034-5 8.780799+0 4.111673-5 9.186099+0 4.112993-5 9.164285+0 4.119626-5 7.576130+0 4.122300-5 6.693560+0 4.123612-5 6.086864+0 4.126161-5 4.290726+0 4.130435-5 1.913304+0 4.132571-5 6.373383-1 4.133640-5-9.146584-2 4.134708-5-1.003609+0 4.144477-5-7.876867+0 4.145698-5-8.860851+0 4.147834-5-1.026221+1 4.161571-5-1.828866+1 4.165764-5-2.183507+1 4.173757-5-2.620747+1 4.188618-5-3.145930+1 4.213386-5-3.700791+1 4.244040-5-4.138981+1 4.297743-5-4.619622+1 4.406240-5-5.196661+1 4.504260-5-5.372344+1 5.378378-5-5.724591+1 7.980749-5-6.144080+1 1.163957-4-6.244948+1 2.082918-4-5.633513+1 2.364781-4-5.236267+1 2.686642-4-4.850785+1 3.579976-4-4.334668+1 3.780368-4-4.319472+1 4.073803-4-4.059202+1 5.135401-4-3.564221+1 6.061472-4-3.223843+1 7.586712-4-2.906732+1 9.442307-4-2.747689+1 1.150000-3-2.756160+1 1.333522-3-2.920137+1 1.468948-3-3.197113+1 1.555906-3-3.541966+1 1.606426-3-3.915884+1 1.635722-3-4.345248+1 1.664179-3-5.096419+1 1.676859-3-5.102130+1 1.703488-3-4.700395+1 1.731706-3-4.547924+1 1.770459-3-3.943460+1 1.848737-3-3.200985+1 1.915965-3-2.747258+1 1.981993-3-2.476775+1 2.045291-3-2.367300+1 2.099400-3-2.448782+1 2.152046-3-2.100874+1 2.208632-3-1.889131+1 2.288908-3-1.715592+1 2.358543-3-1.674275+1 2.426610-3-1.471230+1 2.513110-3-1.329789+1 2.579582-3-1.286911+1 2.654406-3-1.124307+1 2.768571-3-9.704021+0 2.942727-3-8.113561+0 3.128716-3-6.904293+0 3.380409-3-5.807413+0 3.623359-3-5.086537+0 3.918128-3-4.524493+0 4.309249-3-4.138549+0 4.677351-3-3.971448+0 5.175629-3-3.967115+0 5.931114-3-4.228791+0 6.737004-3-4.741170+0 7.646572-3-5.596320+0 8.312570-3-6.534324+0 8.784443-3-7.556787+0 9.092709-3-8.636316+0 9.276187-3-9.723857+0 9.374002-3-1.075582+1 9.512144-3-1.311148+1 9.560830-3-1.340379+1 9.618891-3-1.288034+1 9.752279-3-1.061401+1 9.847392-3-9.678652+0 1.000549-2-8.853927+0 1.024525-2-8.303403+0 1.044719-2-8.309255+0 1.058399-2-8.740916+0 1.071732-2-9.567589+0 1.078675-2-9.568045+0 1.098510-2-8.099524+0 1.110178-2-7.768613+0 1.122228-2-7.655096+0 1.132920-2-7.099581+0 1.151646-2-5.879126+0 1.173740-2-5.010659+0 1.205839-2-4.150416+0 1.248853-2-3.328223+0 1.298794-2-2.640474+0 1.339781-2-2.214745+0 1.399467-2-1.736581+0 1.458704-2-1.379608+0 1.524594-2-1.085264+0 1.591714-2-8.603780-1 1.661958-2-6.915918-1 1.725377-2-5.785819-1 1.796704-2-4.799386-1 1.865241-2-4.085015-1 1.953530-2-3.524794-1 1.997777-2-3.338829-1 2.095514-2-3.106845-1 2.221967-2-3.061071-1 2.339174-2-3.197812-1 2.496837-2-3.568544-1 2.810978-2-4.685736-1 4.563952-2-1.217738+0 5.126783-2-1.495062+0 5.625999-2-1.819040+0 5.937749-2-2.119411+0 6.153325-2-2.441768+0 6.296311-2-2.788905+0 6.383248-2-3.147478+0 6.444298-2-3.604382+0 6.520409-2-4.361950+0 6.556830-2-4.427278+0 6.596593-2-4.131171+0 6.668315-2-3.329101+0 6.717415-2-2.949151+0 6.791761-2-2.586703+0 6.909916-2-2.211410+0 7.068381-2-1.878231+0 7.276942-2-1.574118+0 7.428321-2-1.404624+0 7.701503-2-1.180966+0 8.046833-2-9.833822-1 8.390798-2-8.417757-1 8.810489-2-7.158074-1 9.355401-2-5.999189-1 1.007421-1-5.063176-1 1.087051-1-4.477255-1 1.189043-1-4.101654-1 1.310205-1-3.950498-1 1.498618-1-4.033401-1 2.560600-1-5.340690-1 3.492409-1-6.045413-1 4.972359-1-6.600276-1 7.994606-1-7.004835-1 2.039158+0-7.225817-1 6.158159+0-7.276906-1 1.000000+1-7.275501-1 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.882253-2 1.096765-6 2.801039-2 1.166383-6 3.662917-2 1.240421-6 4.819205-2 1.319159-6 6.380331-2 1.399354-6 8.401074-2 1.474614-6 1.078387-1 1.578913-6 1.504319-1 1.644146-6 1.836650-1 1.705301-6 2.207966-1 1.762635-6 2.618237-1 1.816385-6 3.066778-1 1.866776-6 3.553308-1 1.958306-6 4.621761-1 1.999827-6 5.202441-1 2.075245-6 6.439684-1 2.109457-6 7.094909-1 2.141531-6 7.777502-1 2.201669-6 9.238181-1 2.254290-6 1.074396+0 2.300333-6 1.227708+0 2.340621-6 1.381409+0 2.375873-6 1.533313+0 2.406719-6 1.681513+0 2.433709-6 1.825270+0 2.480941-6 2.110317+0 2.516365-6 2.357294+0 2.542933-6 2.567031+0 2.582785-6 2.926438+0 2.629092-6 3.421767+0 2.661369-6 3.833505+0 2.693645-6 4.316635+0 2.719466-6 4.766182+0 2.745288-6 5.287854+0 2.780947-6 6.159545+0 2.806501-6 6.926504+0 2.828861-6 7.734871+0 2.848426-6 8.585981+0 2.865545-6 9.480998+0 2.880524-6 1.042176+1 2.893631-6 1.141145+1 2.905099-6 1.245558+1 2.915134-6 1.356255+1 2.923915-6 1.474200+1 2.931598-6 1.600075+1 2.938320-6 1.733822+1 2.944203-6 1.874401+1 2.949350-6 2.019867+1 2.953853-6 2.167679+1 2.957794-6 2.315096+1 2.964690-6 2.619649+1 2.969862-6 2.891689+1 2.976651-6 3.310907+1 2.987905-6 4.164512+1 2.992727-6 4.585003+1 2.998238-6 5.095443+1 3.000075-6 5.270509+1 3.007423-6 5.978331+1 3.008342-6 6.066110+1 3.014771-6 6.660340+1 3.017297-6 6.878537+1 3.022119-6 7.258609+1 3.024645-6 7.433848+1 3.027056-6 7.582923+1 3.029467-6 7.712213+1 3.032682-6 7.850685+1 3.035782-6 7.944260+1 3.040030-6 8.003746+1 3.043647-6 7.988453+1 3.047838-6 7.892960+1 3.051053-6 7.763429+1 3.052832-6 7.671237+1 3.055846-6 7.483106+1 3.059090-6 7.238209+1 3.062376-6 6.949178+1 3.065490-6 6.641826+1 3.068679-6 6.298300+1 3.070913-6 6.043256+1 3.074169-6 5.655010+1 3.077187-6 5.282682+1 3.078813-6 5.078797+1 3.082225-6 4.648093+1 3.084791-6 4.324734+1 3.087766-6 3.954699+1 3.090090-6 3.671585+1 3.093276-6 3.295289+1 3.096060-6 2.980424+1 3.099504-6 2.612273+1 3.102707-6 2.293821+1 3.104068-6 2.165860+1 3.107961-6 1.825697+1 3.110971-6 1.589392+1 3.113265-6 1.425105+1 3.117098-6 1.180808+1 3.122341-6 9.054147+0 3.128539-6 6.605545+0 3.131807-6 5.628684+0 3.134269-6 5.020968+0 3.136179-6 4.618967+0 3.138448-6 4.214785+0 3.139948-6 3.988069+0 3.141437-6 3.792955+0 3.142915-6 3.626981+0 3.144380-6 3.487823+0 3.145835-6 3.373295+0 3.147277-6 3.281348+0 3.150141-6 3.157311+0 3.152959-6 3.102731+0 3.155734-6 3.105563+0 3.158465-6 3.155520+0 3.161153-6 3.243887+0 3.166446-6 3.510218+0 3.171573-6 3.857931+0 3.181352-6 4.682322+0 3.190676-6 5.588103+0 3.199416-6 6.501004+0 3.207610-6 7.398406+0 3.222974-6 9.184386+0 3.249862-6 1.275952+1 3.270027-6 1.612107+1 3.285151-6 1.936736+1 3.296494-6 2.244794+1 3.305002-6 2.523948+1 3.316167-6 2.963755+1 3.332573-6 3.761052+1 3.338721-6 4.094513+1 3.344869-6 4.434720+1 3.346919-6 4.547641+1 3.355116-6 4.983214+1 3.357166-6 5.085212+1 3.363314-6 5.364877+1 3.365363-6 5.447236+1 3.371512-6 5.653191+1 3.373561-6 5.706238+1 3.376635-6 5.769408+1 3.379709-6 5.811587+1 3.381759-6 5.827429+1 3.384833-6 5.832070+1 3.387907-6 5.813204+1 3.392006-6 5.751056+1 3.396105-6 5.647124+1 3.400204-6 5.503182+1 3.404302-6 5.322309+1 3.405327-6 5.271798+1 3.410707-6 4.976339+1 3.413012-6 4.836322+1 3.421210-6 4.295271+1 3.423852-6 4.113064+1 3.430368-6 3.665720+1 3.443525-6 2.867765+1 3.447340-6 2.684330+1 3.450030-6 2.571671+1 3.453488-6 2.448688+1 3.457587-6 2.336473+1 3.459637-6 2.294434+1 3.461686-6 2.261901+1 3.462711-6 2.249209+1 3.466297-6 2.223505+1 3.468987-6 2.223142+1 3.469884-6 2.226569+1 3.478081-6 2.336849+1 3.479106-6 2.360194+1 3.482692-6 2.457481+1 3.486279-6 2.577729+1 3.490378-6 2.741047+1 3.565372-6 9.240570+1 3.574234-6 1.078094+2 3.581988-6 1.247547+2 3.588773-6 1.431167+2 3.594710-6 1.626023+2 3.599905-6 1.828150+2 3.604450-6 2.033207+2 3.611908-6 2.435913+2 3.624278-6 3.321070+2 3.636268-6 4.482509+2 3.642465-6 5.208075+2 3.645218-6 5.557287+2 3.649693-6 6.158178+2 3.654168-6 6.796811+2 3.663119-6 8.163671+2 3.664237-6 8.340573+2 3.672069-6 9.593592+2 3.675145-6 1.008419+3 3.681784-6 1.111262+3 3.685731-6 1.168966+3 3.690440-6 1.232821+3 3.695091-6 1.289041+3 3.699483-6 1.334536+3 3.703152-6 1.366029+3 3.707427-6 1.394442+3 3.712624-6 1.415990+3 3.717099-6 1.422482+3 3.718657-6 1.422059+3 3.723103-6 1.413203+3 3.727510-6 1.393383+3 3.731863-6 1.363415+3 3.735979-6 1.326174+3 3.737361-6 1.311855+3 3.744084-6 1.230550+3 3.748275-6 1.171395+3 3.752654-6 1.104131+3 3.756898-6 1.034881+3 3.761395-6 9.585762+2 3.765388-6 8.894462+2 3.769559-6 8.169468+2 3.774996-6 7.236503+2 3.778912-6 6.583452+2 3.780590-6 6.310261+2 3.784506-6 5.691610+2 3.788421-6 5.103011+2 3.797931-6 3.819260+2 3.800815-6 3.474040+2 3.803569-6 3.164320+2 3.806322-6 2.873969+2 3.810238-6 2.494069+2 3.815036-6 2.080105+2 3.819098-6 1.772189+2 3.823579-6 1.475118+2 3.827356-6 1.257129+2 3.831895-6 1.031299+2 3.836156-6 8.520610+1 3.850076-6 4.507379+1 3.851781-6 4.177987+1 3.854337-6 3.739444+1 3.856894-6 3.363295+1 3.859025-6 3.094259+1 3.861417-6 2.837108+1 3.863415-6 2.656580+1 3.865142-6 2.524335+1 3.865985-6 2.467407+1 3.868257-6 2.337918+1 3.875075-6 2.142825+1 3.876412-6 2.135965+1 3.879044-6 2.150428+1 3.884143-6 2.279128+1 3.903266-6 3.884926+1 3.910437-6 4.980781+1 3.931209-6 1.038046+2 3.965508-6 3.491720+2 3.975257-6 4.894294+2 3.982568-6 6.266527+2 3.989880-6 7.966021+2 3.995158-6 9.421526+2 4.000872-6 1.123241+3 4.006188-6 1.314796+3 4.009377-6 1.440715+3 4.014036-6 1.639578+3 4.018696-6 1.855892+3 4.028874-6 2.384999+3 4.030093-6 2.453014+3 4.038623-6 2.951128+3 4.041974-6 3.154869+3 4.048371-6 3.549959+3 4.053322-6 3.855697+3 4.058120-6 4.146511+3 4.063092-6 4.436552+3 4.067911-6 4.701194+3 4.072217-6 4.919586+3 4.076975-6 5.136502+3 4.078369-6 5.194559+3 4.084136-6 5.405238+3 4.088640-6 5.533682+3 4.093887-6 5.639921+3 4.098151-6 5.690149+3 4.107591-6 5.683296+3 4.111993-6 5.625267+3 4.117741-6 5.499886+3 4.122427-6 5.359181+3 4.126969-6 5.193182+3 4.132300-6 4.965996+3 4.136960-6 4.743474+3 4.140853-6 4.543919+3 4.145857-6 4.273542+3 4.151178-6 3.974830+3 4.156498-6 3.670749+3 4.162035-6 3.354910+3 4.166341-6 3.113392+3 4.176184-6 2.587970+3 4.182798-6 2.263901+3 4.186027-6 2.115695+3 4.193534-6 1.798768+3 4.204066-6 1.420963+3 4.220851-6 9.717629+2 4.230635-6 7.842902+2 4.237040-6 6.857267+2 4.243344-6 6.043832+2 4.249550-6 5.372238+2 4.255659-6 4.816400+2 4.261672-6 4.354391+2 4.267592-6 3.968104+2 4.273419-6 3.642803+2 4.284891-6 3.126624+2 4.296004-6 2.742418+2 4.306770-6 2.446406+2 4.317200-6 2.211316+2 4.327304-6 2.019872+2 4.337092-6 1.860801+2 4.346574-6 1.726477+2 4.355760-6 1.611549+2 4.373557-6 1.422677+2 4.390242-6 1.277074+2 4.405885-6 1.161726+2 4.420549-6 1.068374+2 4.434297-6 9.914991+1 4.447186-6 9.272621+1 4.471353-6 8.234712+1 4.492499-6 7.469419+1 4.511001-6 6.886823+1 4.527191-6 6.432293+1 4.555523-6 5.738304+1 4.576772-6 5.286723+1 4.640520-6 4.181143+1 4.668520-6 3.773774+1 4.691502-6 3.458729+1 4.714484-6 3.156484+1 4.748957-6 2.748417+1 4.754740-6 2.690485+1 4.766192-6 2.589847+1 4.777838-6 2.510720+1 4.789483-6 2.458890+1 4.795075-6 2.444363+1 4.803463-6 2.435208+1 4.811850-6 2.440488+1 4.818135-6 2.452956+1 4.830242-6 2.493412+1 4.859355-6 2.624840+1 4.871001-6 2.665203+1 4.880906-6 2.684801+1 4.886849-6 2.688702+1 4.896393-6 2.681696+1 4.905937-6 2.658342+1 4.917582-6 2.609461+1 4.929228-6 2.541990+1 4.940873-6 2.461082+1 4.952518-6 2.372120+1 4.974265-6 2.200485+1 4.998752-6 2.019767+1 5.023239-6 1.863120+1 5.047726-6 1.729052+1 5.084456-6 1.557689+1 5.145674-6 1.316038+1 5.182405-6 1.184779+1 5.206892-6 1.099754+1 5.219135-6 1.057385+1 5.259366-6 9.155253+0 5.279482-6 8.417607+0 5.289539-6 8.042284+0 5.299597-6 7.665584+0 5.325686-6 6.716650+0 5.338730-6 6.287986+0 5.351774-6 5.918119+0 5.364829-6 5.630499+0 5.375599-6 5.470969+0 5.382167-6 5.412788+0 5.388734-6 5.386030+0 5.392613-6 5.385295+0 5.398431-6 5.405207+0 5.404249-6 5.449927+0 5.410819-6 5.528999+0 5.415747-6 5.606896+0 5.423138-6 5.750487+0 5.430530-6 5.921168+0 5.456810-6 6.638275+0 5.469950-6 6.978057+0 5.473235-6 7.053109+0 5.483090-6 7.244235+0 5.486375-6 7.294767+0 5.496230-6 7.400561+0 5.501158-6 7.425656+0 5.509781-6 7.422271+0 5.516249-6 7.379509+0 5.525950-6 7.251559+0 5.530800-6 7.159963+0 5.535651-6 7.050982+0 5.548791-6 6.676576+0 5.554637-6 6.477474+0 5.560483-6 6.261601+0 5.573020-6 5.753373+0 5.588211-6 5.083306+0 5.598884-6 4.597651+0 5.612221-6 3.996531+0 5.618264-6 3.732604+0 5.626571-6 3.384126+0 5.650041-6 2.541638+0 5.657448-6 2.337001+0 5.667341-6 2.124685+0 5.678323-6 1.986647+0 5.681984-6 1.966982+0 5.695901-6 2.033189+0 5.699380-6 2.088760+0 5.709818-6 2.363518+0 5.712010-6 2.443533+0 5.716120-6 2.616219+0 5.723311-6 2.994322+0 5.734099-6 3.762378+0 5.743180-6 4.619639+0 5.762280-6 7.156675+0 5.770133-6 8.524763+0 5.775702-6 9.619020+0 5.790096-6 1.294320+1 5.795088-6 1.426351+1 5.803319-6 1.662277+1 5.810465-6 1.884379+1 5.814216-6 2.006781+1 5.821400-6 2.251005+1 5.827909-6 2.481442+1 5.834942-6 2.737178+1 5.841558-6 2.980945+1 5.848747-6 3.245224+1 5.855171-6 3.477054+1 5.860361-6 3.658808+1 5.869210-6 3.951468+1 5.875390-6 4.138763+1 5.882737-6 4.338420+1 5.889352-6 4.493346+1 5.894002-6 4.586546+1 5.901770-6 4.710937+1 5.908336-6 4.783868+1 5.917060-6 4.833540+1 5.921943-6 4.837718+1 5.926374-6 4.827070+1 5.933642-6 4.780816+1 5.939578-6 4.717886+1 5.947369-6 4.603884+1 5.954882-6 4.464046+1 5.957386-6 4.411694+1 5.968043-6 4.162337+1 5.975156-6 3.976955+1 5.985842-6 3.680604+1 6.000012-6 3.274895+1 6.003472-6 3.176449+1 6.021638-6 2.681981+1 6.051510-6 2.010362+1 6.059075-6 1.874433+1 6.069217-6 1.714042+1 6.073846-6 1.648845+1 6.083213-6 1.531375+1 6.095562-6 1.403560+1 6.108335-6 1.299313+1 6.122405-6 1.211157+1 6.133353-6 1.157623+1 6.149916-6 1.094385+1 6.167967-6 1.040255+1 6.189414-6 9.832575+0 6.201688-6 9.500658+0 6.215961-6 9.087397+0 6.228206-6 8.701881+0 6.236705-6 8.416403+0 6.245955-6 8.089775+0 6.251606-6 7.882833+0 6.265421-6 7.357954+0 6.273288-6 7.050564+0 6.280091-6 6.782430+0 6.291047-6 6.351321+0 6.322716-6 5.195907+0 6.331314-6 4.932079+0 6.339886-6 4.702456+0 6.345661-6 4.570086+0 6.350026-6 4.483517+0 6.355539-6 4.392377+0 6.359409-6 4.341466+0 6.369474-6 4.264328+0 6.374469-6 4.258094+0 6.382318-6 4.294695+0 6.397254-6 4.531628+0 6.403161-6 4.688314+0 6.414437-6 5.087015+0 6.420323-6 5.345608+0 6.425942-6 5.622968+0 6.435442-6 6.154085+0 6.456879-6 7.573682+0 6.462610-6 7.985230+0 6.470372-6 8.549230+0 6.478135-6 9.109327+0 6.482016-6 9.383928+0 6.490749-6 9.978414+0 6.493660-6 1.016709+1 6.508530-6 1.102879+1 6.510552-6 1.113034+1 6.524709-6 1.171542+1 6.528590-6 1.183434+1 6.534412-6 1.197717+1 6.540234-6 1.207654+1 6.544486-6 1.212146+1 6.551928-6 1.214435+1 6.557509-6 1.211605+1 6.565881-6 1.200407+1 6.574253-6 1.181488+1 6.580531-6 1.162758+1 6.586808-6 1.140602+1 6.594029-6 1.111481+1 6.601250-6 1.079176+1 6.609011-6 1.041772+1 6.616772-6 1.002507+1 6.632091-6 9.230591+0 6.662855-6 7.769033+0 6.667357-6 7.588018+0 6.680865-6 7.113545+0 6.689027-6 6.880796+0 6.697189-6 6.690648+0 6.702151-6 6.596014+0 6.717039-6 6.405122+0 6.722363-6 6.369120+0 6.733139-6 6.343365+0 6.739556-6 6.354996+0 6.750178-6 6.411400+0 6.759631-6 6.492587+0 6.798700-6 6.950503+0 6.815032-6 7.112781+0 6.830101-6 7.212811+0 6.839693-6 7.247656+0 6.846230-6 7.258463+0 6.863802-6 7.239960+0 6.883372-6 7.155906+0 6.936164-6 6.833041+0 6.953564-6 6.751020+0 6.984082-6 6.656215+0 7.032898-6 6.581805+0 7.107726-6 6.485199+0 7.184547-6 6.347036+0 7.269200-6 6.186204+0 7.328966-6 6.114008+0 7.441479-6 6.008145+0 7.551640-6 5.882570+0 7.762471-6 5.678949+0 8.035278-6 5.459746+0 8.128305-6 5.402764+0 8.424553-6 5.256228+0 8.713976-6 5.168038+0 8.987542-6 5.134584+0 9.344301-6 5.155536+0 9.602626-6 5.213593+0 9.896037-6 5.321957+0 1.047753-5 5.646851+0 1.100956-5 6.073138+0 1.122688-5 6.278368+0 1.177348-5 6.875605+0 1.207174-5 7.238101+0 1.258820-5 7.930797+0 1.311752-5 8.697770+0 1.480000-5 1.152307+1 1.514985-5 1.214798+1 1.568322-5 1.309653+1 1.640914-5 1.437006+1 1.674972-5 1.494771+1 1.728000-5 1.579389+1 1.790204-5 1.668681+1 1.835550-5 1.726950+1 1.914453-5 1.808862+1 1.958705-5 1.842430+1 1.999380-5 1.865014+1 2.040469-5 1.878861+1 2.085545-5 1.885611+1 2.122419-5 1.881754+1 2.165942-5 1.870841+1 2.190777-5 1.876314+1 2.238721-5 1.952167+1 2.283975-5 2.054765+1 2.320184-5 2.153694+1 2.365699-5 2.304273+1 2.397288-5 2.430132+1 2.430000-5 2.584883+1 2.460522-5 2.756335+1 2.480628-5 2.887578+1 2.498870-5 3.023086+1 2.514831-5 3.157493+1 2.535750-5 3.361074+1 2.554680-5 3.579037+1 2.571077-5 3.801812+1 2.588953-5 4.092959+1 2.605406-5 4.423050+1 2.616947-5 4.705365+1 2.626561-5 4.986089+1 2.634225-5 5.251068+1 2.639490-5 5.461480+1 2.645955-5 5.761839+1 2.652420-5 6.123687+1 2.658885-5 6.569053+1 2.666859-5 7.276980+1 2.671815-5 7.832939+1 2.678280-5 8.727609+1 2.681513-5 9.258595+1 2.684745-5 9.851722+1 2.687978-5 1.051099+2 2.692745-5 1.160998+2 2.707383-5 1.591628+2 2.710627-5 1.702968+2 2.718096-5 1.970497+2 2.724735-5 2.207424+2 2.726187-5 2.257302+2 2.731318-5 2.422959+2 2.734040-5 2.501893+2 2.736262-5 2.560545+2 2.739179-5 2.628379+2 2.741054-5 2.665900+2 2.742930-5 2.698253+2 2.746225-5 2.741695+2 2.750064-5 2.769302+2 2.751292-5 2.772682+2 2.754196-5 2.769947+2 2.757308-5 2.750210+2 2.761630-5 2.694500+2 2.764512-5 2.639855+2 2.767184-5 2.577575+2 2.770508-5 2.485817+2 2.772720-5 2.416914+2 2.777326-5 2.256481+2 2.780862-5 2.121202+2 2.784851-5 1.960180+2 2.788286-5 1.817705+2 2.791957-5 1.665059+2 2.795886-5 1.504844+2 2.801085-5 1.304175+2 2.810214-5 1.003927+2 2.816853-5 8.413784+1 2.818876-5 8.025208+1 2.820270-5 7.787617+1 2.824323-5 7.238007+1 2.826223-5 7.052969+1 2.827214-5 6.974729+1 2.829277-5 6.851764+1 2.831247-5 6.783899+1 2.832836-5 6.763664+1 2.835110-5 6.786857+1 2.836509-5 6.830716+1 2.837995-5 6.901135+1 2.839209-5 6.976293+1 2.841029-5 7.117648+1 2.842849-5 7.291766+1 2.848956-5 8.089694+1 2.864662-5 1.112925+2 2.866189-5 1.145662+2 2.871642-5 1.260705+2 2.874610-5 1.320277+2 2.878622-5 1.394941+2 2.881294-5 1.439855+2 2.884730-5 1.490732+2 2.888765-5 1.539151+2 2.892146-5 1.569239+2 2.895418-5 1.588614+2 2.898939-5 1.598365+2 2.900326-5 1.599009+2 2.904653-5 1.589479+2 2.907784-5 1.571955+2 2.911612-5 1.539039+2 2.915000-5 1.500161+2 2.916398-5 1.481663+2 2.921271-5 1.407257+2 2.924560-5 1.349546+2 2.927864-5 1.286769+2 2.930842-5 1.226979+2 2.934299-5 1.154922+2 2.937821-5 1.079822+2 2.941007-5 1.011507+2 2.944279-5 9.419257+1 2.948805-5 8.482390+1 2.954967-5 7.286736+1 2.969803-5 4.966976+1 2.975165-5 4.352417+1 2.978200-5 4.057409+1 2.980561-5 3.853356+1 2.983290-5 3.644303+1 2.985354-5 3.504444+1 2.989860-5 3.250496+1 2.993010-5 3.111763+1 3.013972-5 2.808962+1 3.021126-5 2.877289+1 3.028281-5 2.998878+1 3.035435-5 3.159547+1 3.049744-5 3.559347+1 3.069630-5 4.218011+1 3.091752-5 5.036344+1 3.128622-5 6.601511+1 3.168921-5 8.791415+1 3.241684-5 1.483472+2 3.257296-5 1.665609+2 3.271514-5 1.861241+2 3.283144-5 2.048841+2 3.295465-5 2.281403+2 3.307478-5 2.549413+2 3.321300-5 2.922326+2 3.334655-5 3.371111+2 3.345179-5 3.809791+2 3.355095-5 4.317644+2 3.363967-5 4.875386+2 3.369801-5 5.309294+2 3.376595-5 5.896625+2 3.383941-5 6.649836+2 3.391110-5 7.525947+2 3.396748-5 8.329652+2 3.404000-5 9.535949+2 3.408267-5 1.034887+3 3.415558-5 1.194207+3 3.422988-5 1.387398+3 3.431507-5 1.655661+3 3.440160-5 1.992320+3 3.448975-5 2.420817+3 3.461016-5 3.191667+3 3.473451-5 4.287270+3 3.487597-5 6.004041+3 3.494542-5 7.048161+3 3.501479-5 8.217098+3 3.504189-5 8.703995+3 3.512526-5 1.028455+4 3.515509-5 1.087044+4 3.522143-5 1.218368+4 3.526883-5 1.310707+4 3.530940-5 1.386962+4 3.535261-5 1.463756+4 3.538982-5 1.524943+4 3.542557-5 1.578414+4 3.546829-5 1.634275+4 3.552522-5 1.692920+4 3.556734-5 1.723342+4 3.561447-5 1.743250+4 3.564199-5 1.747729+4 3.572245-5 1.730273+4 3.576433-5 1.703604+4 3.580706-5 1.664768+4 3.584436-5 1.622000+4 3.587265-5 1.584536+4 3.591430-5 1.522403+4 3.595210-5 1.459825+4 3.598829-5 1.395365+4 3.603178-5 1.313424+4 3.605788-5 1.262553+4 3.610050-5 1.177791+4 3.614312-5 1.092204+4 3.619009-5 9.985178+3 3.622662-5 9.270889+3 3.631945-5 7.556295+3 3.633564-5 7.276151+3 3.644900-5 5.507341+3 3.652539-5 4.518408+3 3.671807-5 2.719234+3 3.679508-5 2.236137+3 3.684010-5 2.003269+3 3.688160-5 1.816413+3 3.692944-5 1.630086+3 3.699346-5 1.422029+3 3.703178-5 1.316599+3 3.707663-5 1.208457+3 3.715512-5 1.051743+3 3.721398-5 9.558506+2 3.730228-5 8.381641+2 3.740000-5 7.349493+2 3.748261-5 6.637191+2 3.757464-5 5.970944+2 3.766667-5 5.406768+2 3.775871-5 4.921429+2 3.788993-5 4.334065+2 3.803480-5 3.793496+2 3.812684-5 3.495242+2 3.855616-5 2.411425+2 3.891920-5 1.763479+2 3.901452-5 1.629839+2 3.910985-5 1.512243+2 3.920517-5 1.410726+2 3.926912-5 1.351338+2 3.933308-5 1.298502+2 3.941211-5 1.241401+2 3.949115-5 1.192096+2 3.960241-5 1.132965+2 3.974501-5 1.068776+2 4.011151-5 9.307245+1 4.035097-5 8.570637+1 4.060934-5 7.882682+1 4.067518-5 7.705488+1 4.080970-5 7.321071+1 4.088319-5 7.094940+1 4.100171-5 6.706064+1 4.113645-5 6.236041+1 4.125588-5 5.808138+1 4.139224-5 5.325318+1 4.161795-5 4.594712+1 4.165985-5 4.475486+1 4.177871-5 4.181053+1 4.181879-5 4.100380+1 4.188456-5 3.994963+1 4.193491-5 3.942055+1 4.197890-5 3.920273+1 4.200688-5 3.920412+1 4.204735-5 3.943107+1 4.208639-5 3.994262+1 4.211469-5 4.052243+1 4.215204-5 4.159847+1 4.217836-5 4.259862+1 4.219152-5 4.318211+1 4.223415-5 4.550041+1 4.226361-5 4.753428+1 4.229633-5 5.027043+1 4.232366-5 5.299257+1 4.234634-5 5.558835+1 4.238230-5 6.041048+1 4.242433-5 6.730464+1 4.246055-5 7.451028+1 4.248561-5 8.028264+1 4.251510-5 8.799825+1 4.255417-5 9.995537+1 4.259380-5 1.143961+2 4.264219-5 1.357117+2 4.270678-5 1.717072+2 4.290634-5 3.599563+2 4.297314-5 4.585414+2 4.303136-5 5.632610+2 4.309662-5 7.043482+2 4.315987-5 8.676533+2 4.320279-5 9.945563+2 4.323445-5 1.096932+3 4.326611-5 1.206963+3 4.331922-5 1.409114+3 4.337234-5 1.633413+3 4.348521-5 2.181302+3 4.349766-5 2.247285+3 4.359144-5 2.774568+3 4.362568-5 2.978233+3 4.369104-5 3.378335+3 4.374091-5 3.689209+3 4.378451-5 3.961224+3 4.382093-5 4.186227+3 4.386775-5 4.469341+3 4.391462-5 4.741912+3 4.395623-5 4.971502+3 4.400597-5 5.226418+3 4.406451-5 5.493227+3 4.411680-5 5.695900+3 4.416461-5 5.848078+3 4.421719-5 5.975716+3 4.427046-5 6.060193+3 4.431394-5 6.094702+3 4.436080-5 6.096986+3 4.444057-5 6.019262+3 4.449222-5 5.916855+3 4.453737-5 5.796462+3 4.459125-5 5.618764+3 4.462358-5 5.496255+3 4.468036-5 5.256326+3 4.473967-5 4.978173+3 4.480648-5 4.640743+3 4.485960-5 4.361120+3 4.491935-5 4.041509+3 4.496583-5 3.793375+3 4.508534-5 3.177169+3 4.517829-5 2.737266+3 4.530315-5 2.220590+3 4.544770-5 1.739339+3 4.555053-5 1.470716+3 4.559535-5 1.371033+3 4.564934-5 1.263659+3 4.570332-5 1.168987+3 4.578916-5 1.041487+3 4.591927-5 8.923161+2 4.602725-5 7.992896+2 4.614710-5 7.195273+2 4.623810-5 6.710891+2 4.639299-5 6.055610+2 4.650504-5 5.676655+2 4.660483-5 5.387646+2 4.672127-5 5.094754+2 4.691633-5 4.684035+2 4.714069-5 4.299579+2 4.742969-5 3.896878+2 4.782837-5 3.451522+2 4.807432-5 3.224436+2 4.830860-5 3.040552+2 4.844861-5 2.946485+2 4.859900-5 2.858906+2 4.875355-5 2.783061+2 4.891055-5 2.719696+2 4.904959-5 2.673910+2 4.937087-5 2.598807+2 4.961351-5 2.563719+2 5.157054-5 2.391747+2 5.297503-5 2.258902+2 5.436912-5 2.146168+2 5.656545-5 1.999009+2 6.404056-5 1.621344+2 7.072428-5 1.371970+2 7.385368-5 1.270255+2 7.426285-5 1.260161+2 7.464278-5 1.253950+2 7.566990-5 1.245065+2 7.619443-5 1.235880+2 7.808889-5 1.187659+2 8.081851-5 1.134198+2 8.293732-5 1.098347+2 8.650000-5 1.051949+2 8.930002-5 1.024443+2 9.350534-5 1.001701+2 9.683500-5 9.977565+1 1.006859-4 1.009650+2 1.050902-4 1.043167+2 1.093905-4 1.093851+2 1.135011-4 1.157397+2 1.181651-4 1.245456+2 1.235477-4 1.363359+2 1.264827-4 1.434041+2 1.318257-4 1.574361+2 1.380651-4 1.752985+2 1.577263-4 2.409878+2 1.664474-4 2.733592+2 1.760000-4 3.099152+2 1.846304-4 3.429919+2 1.950000-4 3.816457+2 2.066605-4 4.227776+2 2.145277-4 4.477549+2 2.193156-4 4.601330+2 2.216444-4 4.654688+2 2.236180-4 4.727815+2 2.248452-4 4.805041+2 2.277190-4 5.057791+2 2.286889-4 5.135153+2 2.297991-4 5.204297+2 2.329592-4 5.331268+2 2.343296-4 5.399624+2 2.358031-4 5.501271+2 2.383551-4 5.702937+2 2.394429-4 5.772928+2 2.406479-4 5.831919+2 2.448988-4 5.996576+2 2.485123-4 6.184587+2 2.540973-4 6.461767+2 2.621440-4 6.794304+2 2.702938-4 7.066893+2 2.808655-4 7.363415+2 2.950000-4 7.711443+2 3.368992-4 8.634915+2 3.562241-4 9.011022+2 3.749607-4 9.305603+2 3.820299-4 9.436774+2 3.842750-4 9.525850+2 3.872716-4 9.684326+2 3.898083-4 9.799591+2 3.916213-4 9.839851+2 3.968122-4 9.823894+2 3.991973-4 9.851787+2 4.013075-4 9.917343+2 4.064714-4 1.014370+3 4.138360-4 1.040840+3 4.293107-4 1.080289+3 4.634537-4 1.150057+3 4.768488-4 1.181301+3 4.997468-4 1.223058+3 5.278372-4 1.261278+3 5.466398-4 1.282194+3 5.580000-4 1.302062+3 5.703381-4 1.326924+3 5.934375-4 1.361681+3 6.285783-4 1.401313+3 6.717023-4 1.437642+3 7.167031-4 1.465364+3 7.740161-4 1.487148+3 8.322128-4 1.499455+3 8.906098-4 1.504228+3 9.549926-4 1.500641+3 1.026243-3 1.486810+3 1.096872-3 1.461174+3 1.164796-3 1.426817+3 1.245256-3 1.377230+3 1.314468-3 1.324968+3 1.374229-3 1.271490+3 1.433101-3 1.208545+3 1.482561-3 1.143495+3 1.525096-3 1.078205+3 1.562248-3 1.012067+3 1.594195-3 9.453306+2 1.621005-3 8.796777+2 1.642583-3 8.177012+2 1.660559-3 7.568464+2 1.675838-3 6.952220+2 1.687411-3 6.394022+2 1.696366-3 5.896005+2 1.702893-3 5.505220+2 1.713085-3 4.909832+2 1.717604-3 4.687955+2 1.719418-3 4.612373+2 1.721418-3 4.540213+2 1.723525-3 4.478559+2 1.725664-3 4.432744+2 1.727565-3 4.407517+2 1.729625-3 4.397696+2 1.732031-3 4.410379+2 1.734446-3 4.449933+2 1.736792-3 4.514131+2 1.738809-3 4.589127+2 1.740765-3 4.678477+2 1.742426-3 4.766503+2 1.744834-3 4.912115+2 1.747476-3 5.093178+2 1.758169-3 5.963750+2 1.763504-3 6.417444+2 1.767508-3 6.744068+2 1.770664-3 6.989015+2 1.774829-3 7.294938+2 1.778280-3 7.535501+2 1.783596-3 7.892403+2 1.799130-3 8.982083+2 1.814966-3 1.030464+3 1.820881-3 1.082092+3 1.827246-3 1.136051+3 1.836162-3 1.206252+3 1.846000-3 1.275126+3 1.864433-3 1.384868+3 1.880105-3 1.465754+3 1.902622-3 1.568449+3 1.930279-3 1.676465+3 1.952621-3 1.748742+3 1.973294-3 1.801276+3 1.990960-3 1.835541+3 2.016220-3 1.871924+3 2.040882-3 1.896911+3 2.067982-3 1.913666+3 2.092125-3 1.919088+3 2.138860-3 1.912317+3 2.154007-3 1.920501+3 2.164116-3 1.933520+3 2.179895-3 1.965775+3 2.219719-3 2.076427+3 2.243289-3 2.133016+3 2.258948-3 2.161435+3 2.280793-3 2.190940+3 2.306579-3 2.215708+3 2.334454-3 2.234078+3 2.364755-3 2.246125+3 2.425006-3 2.255487+3 2.453427-3 2.271058+3 2.520211-3 2.341803+3 2.542801-3 2.359164+3 2.569170-3 2.371967+3 2.599183-3 2.378777+3 2.666392-3 2.382709+3 2.691726-3 2.397554+3 2.754500-3 2.451751+3 2.786645-3 2.468234+3 2.866520-3 2.489780+3 2.989054-3 2.501486+3 3.132732-3 2.500576+3 3.287005-3 2.487743+3 3.467369-3 2.457038+3 3.830879-3 2.378415+3 3.935500-3 2.352911+3 4.414432-3 2.219032+3 4.750994-3 2.126166+3 5.131613-3 2.020537+3 5.567049-3 1.902902+3 5.832033-3 1.835186+3 6.335733-3 1.709466+3 6.616450-3 1.642566+3 6.909939-3 1.573804+3 7.209208-3 1.506404+3 7.519429-3 1.437943+3 7.811960-3 1.374694+3 8.089650-3 1.314842+3 8.344986-3 1.260031+3 8.556220-3 1.213867+3 8.747320-3 1.171620+3 8.910690-3 1.134423+3 9.051600-3 1.100778+3 9.175752-3 1.069442+3 9.284532-3 1.040086+3 9.372922-3 1.014201+3 9.452409-3 9.884921+2 9.520473-3 9.635879+2 9.575396-3 9.404890+2 9.638010-3 9.097152+2 9.768269-3 8.378822+2 9.804485-3 8.228862+2 9.838121-3 8.142421+2 9.869480-3 8.117265+2 9.900537-3 8.146599+2 9.932267-3 8.226352+2 9.977880-3 8.404068+2 1.005265-2 8.748154+2 1.008083-2 8.866988+2 1.011489-2 8.992451+2 1.015956-2 9.123841+2 1.020741-2 9.226271+2 1.026335-2 9.306337+2 1.033127-2 9.362540+2 1.039597-2 9.386498+2 1.046486-2 9.388158+2 1.055217-2 9.361951+2 1.063959-2 9.307965+2 1.072212-2 9.230638+2 1.079540-2 9.136268+2 1.085771-2 9.032823+2 1.098587-2 8.760387+2 1.106714-2 8.603746+2 1.112372-2 8.547695+2 1.117218-2 8.548250+2 1.122833-2 8.600142+2 1.137804-2 8.822469+2 1.144959-2 8.883226+2 1.161813-2 8.952928+2 1.171760-2 9.058634+2 1.187075-2 9.283516+2 1.197914-2 9.398218+2 1.204932-2 9.444615+2 1.213977-2 9.481572+2 1.233915-2 9.511217+2 1.258501-2 9.490797+2 1.297236-2 9.392186+2 1.342626-2 9.214415+2 1.388414-2 8.999876+2 1.449607-2 8.687834+2 1.515468-2 8.338224+2 1.625134-2 7.763569+2 1.768829-2 7.059811+2 1.972423-2 6.196600+2 2.220742-2 5.332520+2 2.477893-2 4.609061+2 2.708254-2 4.070051+2 3.033427-2 3.447634+2 3.416818-2 2.877415+2 3.707507-2 2.531657+2 4.008062-2 2.228138+2 4.526652-2 1.808794+2 5.100093-2 1.467741+2 5.503518-2 1.277313+2 5.823373-2 1.144743+2 6.045118-2 1.059143+2 6.227178-2 9.903232+1 6.351577-2 9.422315+1 6.452939-2 9.003291+1 6.498118-2 8.798306+1 6.534010-2 8.620304+1 6.563978-2 8.456652+1 6.616551-2 8.129361+1 6.689614-2 7.654737+1 6.720296-2 7.512815+1 6.742783-2 7.453280+1 6.760488-2 7.436568+1 6.787960-2 7.461089+1 6.823967-2 7.564016+1 6.893942-2 7.828625+1 6.928273-2 7.928913+1 6.971263-2 8.011263+1 7.032320-2 8.065148+1 7.111048-2 8.072467+1 7.216165-2 8.027849+1 7.328762-2 7.944852+1 7.496317-2 7.787362+1 7.738961-2 7.521202+1 8.100491-2 7.095652+1 8.535914-2 6.587509+1 9.240482-2 5.838586+1 9.931549-2 5.202737+1 1.073313-1 4.571687+1 1.181530-1 3.870986+1 1.393047-1 2.882985+1 1.821969-1 1.769544+1 2.213095-1 1.236138+1 2.703325-1 8.478934+0 3.430724-1 5.372688+0 4.760290-1 2.847609+0 7.120328-1 1.294899+0 1.173413+0 4.832308-1 2.139587+0 1.464449-1 6.448384+0 1.617351-2 1.947381+1 1.773921-3 5.880996+1 1.945130-4 1.776032+2 2.132800-5 5.363532+2 2.338569-6 1.995262+3 1.689865-7 6.309573+3 1.689865-8 1.995262+4 1.689865-9 6.309573+4 1.68987-10 1.000000+5 6.72747-11 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.863900-6 1.258900-6 2.954100-6 1.584900-6 4.681900-6 1.995300-6 7.420200-6 2.511900-6 1.176000-5 3.162300-6 1.863900-5 3.981100-6 2.954000-5 5.011900-6 4.681800-5 6.309600-6 7.420100-5 7.943300-6 1.176000-4 1.000000-5 1.863800-4 1.258900-5 2.953900-4 1.584900-5 4.679900-4 1.995300-5 7.413800-4 2.511900-5 1.174600-3 3.162300-5 1.861000-3 3.981100-5 2.948800-3 5.011900-5 4.672700-3 6.309600-5 7.404500-3 7.943300-5 1.172000-2 1.000000-4 1.854400-2 1.258900-4 2.933800-2 1.584900-4 4.632800-2 1.995300-4 7.305200-2 2.511900-4 1.148100-1 3.162300-4 1.796500-1 3.981100-4 2.790900-1 5.011900-4 4.284900-1 6.309600-4 6.452200-1 7.943300-4 9.476300-1 1.000000-3 1.349300+0 1.258900-3 1.856600+0 1.584900-3 2.475000+0 1.995300-3 3.228200+0 2.511900-3 4.158500+0 3.162300-3 5.302800+0 3.981100-3 6.687800+0 5.011900-3 8.336000+0 6.309600-3 1.024300+1 7.943300-3 1.235400+1 1.000000-2 1.461500+1 1.258900-2 1.701800+1 1.584900-2 1.954900+1 1.995300-2 2.215400+1 2.511900-2 2.465000+1 3.162300-2 2.691200+1 3.981100-2 2.879500+1 5.011900-2 3.013700+1 6.309600-2 3.076200+1 7.943300-2 3.128200+1 1.000000-1 3.106900+1 1.258900-1 3.034100+1 1.584900-1 2.925000+1 1.995300-1 2.782500+1 2.511900-1 2.618100+1 3.162300-1 2.440000+1 3.981100-1 2.254500+1 5.011900-1 2.067400+1 6.309600-1 1.882600+1 7.943300-1 1.702400+1 1.000000+0 1.529200+1 1.258900+0 1.365600+1 1.584900+0 1.210900+1 1.995300+0 1.066700+1 2.511900+0 9.336000+0 3.162300+0 8.119700+0 3.981100+0 7.019800+0 5.011900+0 6.034900+0 6.309600+0 5.160500+0 7.943300+0 4.391900+0 1.000000+1 3.721200+0 1.258900+1 3.140100+0 1.584900+1 2.640000+0 1.995300+1 2.212200+0 2.511900+1 1.848200+0 3.162300+1 1.539800+0 3.981100+1 1.279800+0 5.011900+1 1.061400+0 6.309600+1 8.784400-1 7.943300+1 7.257200-1 1.000000+2 5.985500-1 1.258900+2 4.929200-1 1.584900+2 4.053600-1 1.995300+2 3.329400-1 2.511900+2 2.731300-1 3.162300+2 2.238300-1 3.981100+2 1.832400-1 5.011900+2 1.498700-1 6.309600+2 1.224700-1 7.943300+2 9.999700-2 1.000000+3 8.158600-2 1.258900+3 6.651600-2 1.584900+3 5.419300-2 1.995300+3 4.412400-2 2.511900+3 3.590400-2 3.162300+3 2.919900-2 3.981100+3 2.373300-2 5.011900+3 1.928000-2 6.309600+3 1.565500-2 7.943300+3 1.270500-2 1.000000+4 1.030600-2 1.258900+4 8.356900-3 1.584900+4 6.773400-3 1.995300+4 5.487700-3 2.511900+4 4.444400-3 3.162300+4 3.598000-3 3.981100+4 2.911800-3 5.011900+4 2.355700-3 6.309600+4 1.905100-3 7.943300+4 1.540200-3 1.000000+5 1.244800-3 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510164-4 3.162278-4 3.159552-4 3.981072-4 3.976753-4 5.011872-4 5.005059-4 6.309573-4 6.298877-4 7.943282-4 7.926501-4 1.000000-3 9.973714-4 1.258925-3 1.254834-3 1.584893-3 1.578522-3 1.995262-3 1.985320-3 2.511886-3 2.496315-3 3.162278-3 3.137842-3 3.981072-3 3.942730-3 5.011872-3 4.951764-3 6.309573-3 6.215562-3 7.943282-3 7.796799-3 1.000000-2 9.772476-3 1.258925-2 1.223633-2 1.584893-2 1.530213-2 1.995262-2 1.910726-2 2.511886-2 2.381685-2 3.162278-2 2.963565-2 3.981072-2 3.679927-2 5.011872-2 4.558446-2 6.309573-2 5.631535-2 7.943282-2 6.935650-2 1.000000-1 8.515721-2 1.258925-1 1.042776-1 1.584893-1 1.271562-1 1.995262-1 1.546169-1 2.511886-1 1.873953-1 3.162278-1 2.263745-1 3.981072-1 2.725783-1 5.011872-1 3.271968-1 6.309573-1 3.916610-1 7.943282-1 4.676440-1 1.000000+0 5.571676-1 1.258925+0 6.623805-1 1.584893+0 7.866386-1 1.995262+0 9.337238-1 2.511886+0 1.108312+0 3.162278+0 1.316019+0 3.981072+0 1.563984+0 5.011872+0 1.860886+0 6.309573+0 2.217145+0 7.943282+0 2.645583+0 1.000000+1 3.162200+0 1.258925+1 3.786268+0 1.584893+1 4.541430+0 1.995262+1 5.456679+0 2.511886+1 6.567487+0 3.162278+1 7.917296+0 3.981072+1 9.560037+0 5.011872+1 1.156074+1 6.309573+1 1.400042+1 7.943282+1 1.697806+1 1.000000+2 2.061540+1 1.258925+2 2.506257+1 1.584893+2 3.050416+1 1.995262+2 3.716804+1 2.511886+2 4.533290+1 3.162278+2 5.534545+1 3.981072+2 6.762999+1 5.011872+2 8.271337+1 6.309573+2 1.012427+2 7.943282+2 1.240179+2 1.000000+3 1.520264+2 1.258925+3 1.864904+2 1.584893+3 2.289157+2 1.995262+3 2.811743+2 2.511886+3 3.455504+2 3.162278+3 4.249350+2 3.981072+3 5.228214+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88223-10 1.995262-5 1.090690-9 2.511886-5 1.728598-9 3.162278-5 2.739646-9 3.981072-5 4.342039-9 5.011872-5 6.881575-9 6.309573-5 1.090618-8 7.943282-5 1.727887-8 1.000000-4 2.737876-8 1.258925-4 4.338318-8 1.584893-4 6.871653-8 1.995262-4 1.088215-7 2.511886-4 1.722820-7 3.162278-4 2.725484-7 3.981072-4 4.318686-7 5.011872-4 6.813375-7 6.309573-4 1.069598-6 7.943282-4 1.678131-6 1.000000-3 2.628623-6 1.258925-3 4.091457-6 1.584893-3 6.371434-6 1.995262-3 9.942417-6 2.511886-3 1.557122-5 3.162278-3 2.443517-5 3.981072-3 3.834132-5 5.011872-3 6.010836-5 6.309573-3 9.401128-5 7.943282-3 1.464837-4 1.000000-2 2.275242-4 1.258925-2 3.529207-4 1.584893-2 5.468058-4 1.995262-2 8.453677-4 2.511886-2 1.302018-3 3.162278-2 1.987123-3 3.981072-2 3.011446-3 5.011872-2 4.534261-3 6.309573-2 6.780380-3 7.943282-2 1.007632-2 1.000000-1 1.484279-2 1.258925-1 2.161494-2 1.584893-1 3.133309-2 1.995262-1 4.490935-2 2.511886-1 6.379338-2 3.162278-1 8.985328-2 3.981072-1 1.255289-1 5.011872-1 1.739905-1 6.309573-1 2.392964-1 7.943282-1 3.266843-1 1.000000+0 4.428324-1 1.258925+0 5.965449-1 1.584893+0 7.982546-1 1.995262+0 1.061539+0 2.511886+0 1.403574+0 3.162278+0 1.846258+0 3.981072+0 2.417088+0 5.011872+0 3.150987+0 6.309573+0 4.092428+0 7.943282+0 5.297699+0 1.000000+1 6.837800+0 1.258925+1 8.802986+0 1.584893+1 1.130750+1 1.995262+1 1.449594+1 2.511886+1 1.855138+1 3.162278+1 2.370548+1 3.981072+1 3.025068+1 5.011872+1 3.855799+1 6.309573+1 4.909531+1 7.943282+1 6.245476+1 1.000000+2 7.938460+1 1.258925+2 1.008300+2 1.584893+2 1.279852+2 1.995262+2 1.623582+2 2.511886+2 2.058557+2 3.162278+2 2.608823+2 3.981072+2 3.304772+2 5.011872+2 4.184739+2 6.309573+2 5.297146+2 7.943282+2 6.703103+2 1.000000+3 8.479736+2 1.258925+3 1.072435+3 1.584893+3 1.355977+3 1.995262+3 1.714088+3 2.511886+3 2.166336+3 3.162278+3 2.737343+3 3.981072+3 3.458250+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.300000-6 5.018130+6 6.600000-6 5.482638+6 6.850000-6 5.847822+6 7.010000-6 6.065448+6 7.010000-6 8.695441+6 7.161434-6 9.038063+6 7.244360-6 9.217731+6 7.310000-6 9.356541+6 7.310000-6 1.516078+7 7.500000-6 1.496936+7 7.762471-6 1.478977+7 7.852356-6 1.475256+7 8.128305-6 1.468775+7 8.222426-6 1.468352+7 8.317638-6 1.468755+7 8.511380-6 1.470737+7 8.810489-6 1.479511+7 8.912509-6 1.483185+7 9.120108-6 1.491766+7 9.332543-6 1.503074+7 9.440609-6 1.509250+7 9.885531-6 1.536379+7 1.011579-5 1.552356+7 1.050000-5 1.579118+7 1.083927-5 1.604022+7 1.109175-5 1.622033+7 1.122018-5 1.631557+7 1.161449-5 1.660261+7 1.188502-5 1.678828+7 1.216186-5 1.697115+7 1.244515-5 1.716406+7 1.273503-5 1.734118+7 1.333521-5 1.768952+7 1.350000-5 1.777168+7 1.420000-5 1.809074+7 1.428894-5 1.812340+7 1.500000-5 1.834940+7 1.584893-5 1.849396+7 1.621810-5 1.849804+7 1.659587-5 1.850458+7 1.730000-5 1.840381+7 1.737801-5 1.839332+7 1.819701-5 1.815349+7 1.883649-5 1.787283+7 1.900000-5 1.780371+7 1.950000-5 1.752094+7 1.980000-5 1.735745+7 2.020000-5 1.708414+7 2.070000-5 1.675665+7 2.130000-5 1.630047+7 2.150000-5 1.615420+7 2.190000-5 1.581961+7 2.238721-5 1.542973+7 2.250000-5 1.532886+7 2.300000-5 1.489572+7 2.330000-5 1.464627+7 2.350000-5 1.446403+7 2.400000-5 1.402499+7 2.426610-5 1.380051+7 2.454709-5 1.354601+7 2.511886-5 1.305126+7 2.520000-5 1.298093+7 2.540973-5 1.280199+7 2.583000-5 1.243691+7 2.610000-5 1.221100+7 2.660725-5 1.178923+7 2.730000-5 1.122400+7 2.800000-5 1.067798+7 2.818383-5 1.053584+7 2.851018-5 1.029045+7 2.917427-5 9.804479+6 2.951209-5 9.570257+6 3.000000-5 9.235948+6 3.019952-5 9.100945+6 3.126079-5 8.429055+6 3.150000-5 8.283551+6 3.162278-5 8.210289+6 3.311311-5 7.374213+6 3.350000-5 7.172234+6 3.404000-5 6.898285+6 3.404000-5 7.459513+6 3.440000-5 7.292577+6 3.495000-5 7.045660+6 3.548134-5 6.816449+6 3.550000-5 6.808437+6 3.589219-5 6.641491+6 3.614000-5 6.537443+6 3.614000-5 6.909193+6 3.630781-5 6.843650+6 3.660000-5 6.730984+6 3.710000-5 6.543191+6 3.740000-5 6.433310+6 3.780000-5 6.290445+6 3.801894-5 6.213537+6 3.845918-5 6.060191+6 3.863700-5 5.998990+6 3.920000-5 5.810144+6 3.950000-5 5.713194+6 4.073803-5 5.336854+6 4.150000-5 5.119322+6 4.189000-5 5.011870+6 4.189000-5 1.125739+7 4.240000-5 1.102324+7 4.273000-5 1.085673+7 4.290000-5 1.077244+7 4.300000-5 1.071724+7 4.365158-5 1.036916+7 4.380000-5 1.029157+7 4.415704-5 1.009222+7 4.466836-5 9.814949+6 4.570882-5 9.258520+6 4.623810-5 8.980080+6 4.650000-5 8.847790+6 4.677351-5 8.711611+6 4.731513-5 8.449637+6 4.800000-5 8.123758+6 4.850000-5 7.898538+6 4.900000-5 7.683944+6 4.954502-5 7.453131+6 5.011872-5 7.220931+6 5.080000-5 6.959818+6 5.115000-5 6.829568+6 5.115000-5 9.610088+6 5.170000-5 9.423081+6 5.190000-5 9.350420+6 5.218000-5 9.251489+6 5.220000-5 9.244554+6 5.248075-5 9.139781+6 5.290000-5 8.985668+6 5.308844-5 8.912992+6 5.350000-5 8.755882+6 5.370318-5 8.680639+6 5.450000-5 8.383036+6 5.559043-5 7.993706+6 5.580000-5 7.919227+6 5.595400-5 7.865770+6 5.623413-5 7.770899+6 5.650000-5 7.681517+6 5.700000-5 7.518806+6 5.730000-5 7.420934+6 5.754399-5 7.343703+6 5.850000-5 7.059265+6 5.888437-5 6.947901+6 5.900000-5 6.915387+6 5.950000-5 6.777092+6 6.025596-5 6.581418+6 6.070000-5 6.469343+6 6.165950-5 6.244268+6 6.237348-5 6.091067+6 6.456542-5 5.670394+6 6.480700-5 5.629575+6 6.500000-5 5.596858+6 6.650000-5 5.366322+6 6.760830-5 5.217575+6 6.918310-5 5.035537+6 7.000000-5 4.954423+6 7.079458-5 4.883095+6 7.161434-5 4.815540+6 7.400000-5 4.661556+6 7.413102-5 4.654603+6 7.500000-5 4.612534+6 7.585776-5 4.575295+6 7.852356-5 4.500629+6 7.881000-5 4.495300+6 7.881000-5 4.559336+6 7.943282-5 4.548396+6 8.000000-5 4.539156+6 8.035261-5 4.535049+6 8.039000-5 4.534658+6 8.110000-5 4.528680+6 8.230000-5 4.525809+6 8.317638-5 4.529117+6 8.350000-5 4.530879+6 8.413951-5 4.536138+6 8.500000-5 4.545176+6 8.511380-5 4.546695+6 8.609938-5 4.562250+6 8.650000-5 4.569712+6 8.810489-5 4.606653+6 8.912509-5 4.634610+6 9.015711-5 4.664036+6 9.120108-5 4.697428+6 9.225714-5 4.734657+6 9.230000-5 4.736295+6 9.300000-5 4.763912+6 9.332543-5 4.776521+6 9.549926-5 4.861537+6 9.660509-5 4.909462+6 9.800000-5 4.974542+6 1.000000-4 5.063656+6 1.023293-4 5.178834+6 1.040000-4 5.256897+6 1.060000-4 5.356753+6 1.071519-4 5.411930+6 1.083927-4 5.469844+6 1.096478-4 5.530472+6 1.109175-4 5.593354+6 1.122018-4 5.649728+6 1.135011-4 5.708604+6 1.150000-4 5.778265+6 1.170000-4 5.859831+6 1.174898-4 5.880329+6 1.190000-4 5.944212+6 1.202264-4 5.993297+6 1.220000-4 6.057724+6 1.230269-4 6.095868+6 1.244515-4 6.149258+6 1.260000-4 6.203326+6 1.280000-4 6.266270+6 1.288250-4 6.292712+6 1.303167-4 6.340757+6 1.318257-4 6.385785+6 1.350000-4 6.470427+6 1.364583-4 6.509916+6 1.380384-4 6.549134+6 1.396368-4 6.589196+6 1.415000-4 6.629511+6 1.430000-4 6.662160+6 1.450000-4 6.701132+6 1.480000-4 6.760204+6 1.490000-4 6.776374+6 1.513561-4 6.814616+6 1.520000-4 6.823523+6 1.531087-4 6.838952+6 1.566751-4 6.888770+6 1.584893-4 6.908094+6 1.603245-4 6.927769+6 1.621810-4 6.943053+6 1.626300-4 6.946792+6 1.640590-4 6.958627+6 1.650000-4 6.966454+6 1.659587-4 6.971420+6 1.678804-4 6.981506+6 1.690000-4 6.987429+6 1.717908-4 6.995158+6 1.737801-4 7.000774+6 1.750000-4 7.000570+6 1.757924-4 7.000467+6 1.760000-4 7.000445+6 1.778279-4 7.000407+6 1.780000-4 7.000033+6 1.790000-4 6.997883+6 1.820000-4 6.991641+6 1.830000-4 6.986737+6 1.850000-4 6.977082+6 1.862087-4 6.971276+6 1.870000-4 6.965952+6 1.905461-4 6.942519+6 1.927525-4 6.928383+6 1.949845-4 6.908794+6 1.950000-4 6.908660+6 1.972423-4 6.889416+6 1.980000-4 6.881533+6 2.000000-4 6.860857+6 2.018366-4 6.842195+6 2.041738-4 6.818794+6 2.050000-4 6.808891+6 2.089296-4 6.762586+6 2.113489-4 6.730933+6 2.162719-4 6.667998+6 2.187762-4 6.631691+6 2.190000-4 6.628478+6 2.220000-4 6.585947+6 2.264644-4 6.518242+6 2.290868-4 6.479448+6 2.302600-4 6.462286+6 2.307200-4 6.454734+6 2.307200-4 6.720303+6 2.317395-4 6.705947+6 2.350000-4 6.660939+6 2.371374-4 6.629169+6 2.400000-4 6.587555+6 2.423000-4 6.552511+6 2.424800-4 6.549627+6 2.424800-4 6.718110+6 2.445000-4 6.691807+6 2.450000-4 6.684923+6 2.454709-4 6.677620+6 2.458000-4 6.672543+6 2.473300-4 6.647930+6 2.483133-4 6.631498+6 2.490000-4 6.619222+6 2.511886-4 6.578840+6 2.515000-4 6.572981+6 2.520000-4 6.563257+6 2.540973-4 6.519620+6 2.553000-4 6.494393+6 2.570396-4 6.457417+6 2.580000-4 6.436587+6 2.583500-4 6.428490+6 2.590000-4 6.413402+6 2.608000-4 6.370843+6 2.630268-4 6.317793+6 2.660000-4 6.243629+6 2.660725-4 6.241815+6 2.670000-4 6.218719+6 2.700000-4 6.146051+6 2.722701-4 6.091745+6 2.730000-4 6.074743+6 2.754229-4 6.016059+6 2.760000-4 6.002260+6 2.786121-4 5.941549+6 2.800000-4 5.908439+6 2.835000-4 5.827898+6 2.851018-4 5.792365+6 2.870000-4 5.751148+6 2.890000-4 5.709014+6 2.900000-4 5.688368+6 2.917427-4 5.651102+6 2.930000-4 5.624516+6 2.951209-4 5.581357+6 2.970000-4 5.542150+6 3.000000-4 5.482301+6 3.015000-4 5.453142+6 3.019952-4 5.443738+6 3.040000-4 5.405985+6 3.056900-4 5.374973+6 3.080000-4 5.333783+6 3.090295-4 5.315857+6 3.100000-4 5.298194+6 3.115000-4 5.271494+6 3.150000-4 5.210965+6 3.162278-4 5.189636+6 3.190000-4 5.142204+6 3.198895-4 5.127363+6 3.212100-4 5.105516+6 3.235937-4 5.067089+6 3.240000-4 5.060611+6 3.280000-4 4.998674+6 3.300000-4 4.966639+6 3.311311-4 4.948907+6 3.320000-4 4.935399+6 3.350000-4 4.889707+6 3.427678-4 4.772372+6 3.430000-4 4.768983+6 3.467369-4 4.715754+6 3.507519-4 4.657149+6 3.550000-4 4.596933+6 3.630781-4 4.484365+6 3.672823-4 4.428229+6 3.715352-4 4.373439+6 3.758374-4 4.317149+6 3.780000-4 4.288173+6 3.801894-4 4.259215+6 3.845918-4 4.202573+6 3.890451-4 4.147367+6 3.930000-4 4.099390+6 3.935501-4 4.092793+6 3.973600-4 4.045886+6 3.973600-4 4.293674+6 4.000000-4 4.261358+6 4.053000-4 4.195724+6 4.073803-4 4.170528+6 4.120975-4 4.114894+6 4.168694-4 4.059766+6 4.200000-4 4.024394+6 4.216965-4 4.005557+6 4.265795-4 3.950624+6 4.280000-4 3.934754+6 4.315191-4 3.894511+6 4.415704-4 3.785069+6 4.430000-4 3.769904+6 4.466836-4 3.731161+6 4.570882-4 3.622985+6 4.614100-4 3.578073+6 4.614100-4 3.633066+6 4.623810-4 3.623150+6 4.731513-4 3.516415+6 4.786301-4 3.463613+6 4.841724-4 3.410343+6 4.850000-4 3.402550+6 4.897788-4 3.357202+6 4.954502-4 3.303843+6 5.069907-4 3.200917+6 5.080000-4 3.192010+6 5.188000-4 3.097769+6 5.248075-4 3.046945+6 5.300000-4 3.004453+6 5.308844-4 2.997279+6 5.370318-4 2.947378+6 5.432503-4 2.898616+6 5.500000-4 2.847583+6 5.546500-4 2.812173+6 5.546500-4 2.879359+6 5.559043-4 2.869924+6 5.623413-4 2.820758+6 5.688529-4 2.772766+6 5.754399-4 2.725916+6 5.800000-4 2.694004+6 5.821032-4 2.679510+6 5.900000-4 2.625627+6 5.956621-4 2.587653+6 6.000000-4 2.559303+6 6.025596-4 2.542606+6 6.100000-4 2.494381+6 6.200000-4 2.431384+6 6.237348-4 2.408648+6 6.309573-4 2.364520+6 6.382635-4 2.321282+6 6.456542-4 2.278546+6 6.531306-4 2.236300+6 6.606934-4 2.194673+6 6.760830-4 2.114270+6 6.839116-4 2.074920+6 6.850000-4 2.069451+6 6.918310-4 2.035436+6 6.998420-4 1.996191+6 7.079458-4 1.957899+6 7.161434-4 1.920487+6 7.244360-4 1.883394+6 7.328245-4 1.846818+6 7.413102-4 1.811118+6 7.500000-4 1.775327+6 7.585776-4 1.740578+6 7.673615-4 1.705748+6 7.943282-4 1.605350+6 8.035261-4 1.573113+6 8.128305-4 1.541203+6 8.200000-4 1.516971+6 8.222426-4 1.509487+6 8.511380-4 1.418520+6 8.609938-4 1.389321+6 8.709636-4 1.360270+6 8.912509-4 1.303829+6 9.015711-4 1.276657+6 9.120108-4 1.249822+6 9.200000-4 1.229847+6 9.332543-4 1.197602+6 9.500000-4 1.158056+6 9.549926-4 1.146689+6 9.660509-4 1.122151+6 9.772372-4 1.097939+6 9.885531-4 1.074139+6 1.011579-3 1.028109+6 1.023293-3 1.005953+6 1.035142-3 9.841478+5 1.047129-3 9.623857+5 1.096478-3 8.801021+5 1.109175-3 8.607314+5 1.110000-3 8.594945+5 1.122018-3 8.415857+5 1.135011-3 8.224915+5 1.148154-3 8.038891+5 1.161449-3 7.857479+5 1.188502-3 7.508382+5 1.202264-3 7.340486+5 1.216186-3 7.173198+5 1.230269-3 7.009386+5 1.258925-3 6.690413+5 1.288250-3 6.387630+5 1.300000-3 6.272523+5 1.303167-3 6.241685+5 1.318257-3 6.096643+5 1.348963-3 5.817139+5 1.355400-3 5.760824+5 1.396368-3 5.419182+5 1.412538-3 5.293220+5 1.428894-3 5.168160+5 1.445440-3 5.045919+5 1.479108-3 4.810821+5 1.496236-3 4.697293+5 1.500000-3 4.672826+5 1.513561-3 4.586320+5 1.531087-3 4.477717+5 1.570000-3 4.246390+5 1.621810-3 3.965910+5 1.640590-3 3.871386+5 1.659587-3 3.778628+5 1.678804-3 3.686533+5 1.698244-3 3.596889+5 1.737801-3 3.423816+5 1.741600-3 3.407841+5 1.741600-3 9.994565+5 1.800000-3 9.525140+5 1.802300-3 9.507428+5 1.802300-3 1.213187+6 1.815000-3 1.216354+6 1.819701-3 1.217687+6 1.840772-3 1.224834+6 1.846000-3 1.226922+6 1.862087-3 1.238466+6 1.863000-3 1.238745+6 1.870000-3 1.242030+6 1.878000-3 1.241480+6 1.883649-3 1.240233+6 1.885000-3 1.239952+6 1.893000-3 1.237545+6 1.905461-3 1.231155+6 1.910000-3 1.228910+6 1.920000-3 1.223129+6 1.927525-3 1.217784+6 1.935000-3 1.212580+6 1.940000-3 1.208566+6 1.950000-3 1.200123+6 1.972423-3 1.167608+6 1.995262-3 1.135670+6 2.018366-3 1.103613+6 2.041738-3 1.072443+6 2.065380-3 1.042169+6 2.113489-3 9.842070+5 2.137962-3 9.564676+5 2.150000-3 9.432204+5 2.162719-3 9.294375+5 2.184100-3 9.069024+5 2.184100-3 1.047948+6 2.213095-3 1.015919+6 2.238721-3 9.887906+5 2.264644-3 9.624028+5 2.290868-3 9.367338+5 2.300000-3 9.279237+5 2.344229-3 8.866494+5 2.371374-3 8.626337+5 2.400000-3 8.382394+5 2.426610-3 8.164372+5 2.454709-3 7.942991+5 2.461400-3 7.891564+5 2.461400-3 8.365198+5 2.483133-3 8.198452+5 2.511886-3 7.985381+5 2.540973-3 7.775257+5 2.570396-3 7.566779+5 2.600160-3 7.363916+5 2.630500-3 7.165103+5 2.660725-3 6.974837+5 2.684700-3 6.829121+5 2.684700-3 7.122338+5 2.691535-3 7.080918+5 2.722701-3 6.895237+5 2.754229-3 6.714772+5 2.770000-3 6.626446+5 2.786121-3 6.537723+5 2.800000-3 6.462077+5 2.818383-3 6.363203+5 2.851018-3 6.192863+5 2.884032-3 6.027215+5 2.917427-3 5.866248+5 2.920000-3 5.854112+5 2.951209-3 5.709296+5 2.985383-3 5.556761+5 3.000000-3 5.493336+5 3.019952-3 5.408486+5 3.054921-3 5.263276+5 3.090295-3 5.120496+5 3.126079-3 4.981801+5 3.150000-3 4.892160+5 3.162278-3 4.847008+5 3.235937-3 4.587814+5 3.311311-3 4.342766+5 3.349654-3 4.224791+5 3.400000-3 4.076113+5 3.427678-3 3.997305+5 3.467369-3 3.888125+5 3.507519-3 3.781737+5 3.548134-3 3.678064+5 3.589219-3 3.577384+5 3.630781-3 3.479620+5 3.672823-3 3.384118+5 3.715352-3 3.290367+5 3.800000-3 3.114715+5 3.801894-3 3.110912+5 3.845918-3 3.024024+5 3.890451-3 2.939681+5 3.900000-3 2.922015+5 3.935501-3 2.857338+5 4.027170-3 2.699675+5 4.120975-3 2.550464+5 4.168694-3 2.478920+5 4.216965-3 2.409457+5 4.265795-3 2.341972+5 4.315191-3 2.276192+5 4.365158-3 2.212354+5 4.415704-3 2.150348+5 4.466836-3 2.089990+5 4.570882-3 1.974591+5 4.623810-3 1.919430+5 4.650000-3 1.892746+5 4.677351-3 1.865189+5 4.731513-3 1.812160+5 4.841724-3 1.710268+5 4.954502-3 1.614402+5 5.011872-3 1.568570+5 5.069907-3 1.523844+5 5.128614-3 1.480460+5 5.188000-3 1.438164+5 5.248075-3 1.396945+5 5.300000-3 1.362646+5 5.308844-3 1.356923+5 5.432503-3 1.280202+5 5.477200-3 1.254016+5 5.495409-3 1.243570+5 5.559043-3 1.208041+5 5.623413-3 1.173440+5 5.800000-3 1.085494+5 5.821032-3 1.075595+5 5.888437-3 1.044557+5 6.000000-3 9.959084+4 6.025596-3 9.851611+4 6.095369-3 9.566102+4 6.165950-3 9.289310+4 6.237348-3 9.020903+4 6.382635-3 8.508344+4 6.456542-3 8.261083+4 6.531306-3 8.021206+4 6.606934-3 7.788454+4 6.683439-3 7.561706+4 6.760830-3 7.341852+4 6.839116-3 7.128430+4 6.918310-3 6.921381+4 6.998420-3 6.720047+4 7.000000-3 6.716161+4 7.161434-3 6.334070+4 7.244360-3 6.149772+4 7.328245-3 5.970749+4 7.413102-3 5.796096+4 7.498942-3 5.626102+4 7.585776-3 5.461334+4 7.673615-3 5.301598+4 7.762471-3 5.146307+4 7.800000-3 5.082678+4 7.852356-3 4.995729+4 7.943282-3 4.849332+4 8.000000-3 4.761117+4 8.035261-3 4.707234+4 8.128305-3 4.569106+4 8.222426-3 4.434397+4 8.413951-3 4.177020+4 8.609938-3 3.934355+4 8.709636-3 3.818590+4 8.810489-3 3.706390+4 9.000000-3 3.506503+4 9.015711-3 3.490631+4 9.120108-3 3.387674+4 9.225714-3 3.287818+4 9.332543-3 3.190392+4 9.440609-3 3.095875+4 9.549926-3 3.004049+4 9.660509-3 2.914779+4 9.772372-3 2.828242+4 9.879200-3 2.748966+4 9.879200-3 7.242262+4 9.885531-3 7.231076+4 9.985000-3 7.058538+4 1.000000-2 7.031538+4 1.011579-2 6.827706+4 1.023293-2 6.623145+4 1.047129-2 6.232445+4 1.059254-2 6.045605+4 1.071519-2 5.864383+4 1.080000-2 5.740604+4 1.083927-2 5.684473+4 1.096478-2 5.509913+4 1.109175-2 5.340793+4 1.116300-2 5.249021+4 1.116300-2 7.242396+4 1.122018-2 7.151300+4 1.132500-2 6.988370+4 1.135011-2 6.948116+4 1.148154-2 6.742442+4 1.155000-2 6.638658+4 1.161449-2 6.539822+4 1.165600-2 6.477167+4 1.165600-2 7.492046+4 1.174898-2 7.338447+4 1.185000-2 7.180361+4 1.188502-2 7.127896+4 1.202264-2 6.926971+4 1.216186-2 6.728104+4 1.230269-2 6.533539+4 1.244515-2 6.344641+4 1.258925-2 6.162708+4 1.273503-2 5.986142+4 1.288250-2 5.812606+4 1.290000-2 5.792290+4 1.303167-2 5.642576+4 1.333521-2 5.317549+4 1.348963-2 5.162064+4 1.364583-2 5.011257+4 1.380384-2 4.864935+4 1.396368-2 4.723005+4 1.400000-2 4.691569+4 1.412538-2 4.585249+4 1.428894-2 4.450760+4 1.445440-2 4.319361+4 1.450000-2 4.284108+4 1.462177-2 4.191861+4 1.479108-2 4.068208+4 1.500000-2 3.922495+4 1.531087-2 3.718954+4 1.540000-2 3.663282+4 1.548817-2 3.608927+4 1.566751-2 3.501793+4 1.584893-2 3.397923+4 1.603245-2 3.296583+4 1.621810-2 3.198303+4 1.640590-2 3.103031+4 1.659587-2 3.010580+4 1.664540-2 2.987114+4 1.670000-2 2.961540+4 1.678804-2 2.920775+4 1.698244-2 2.833512+4 1.717908-2 2.748911+4 1.737801-2 2.667389+4 1.757924-2 2.588006+4 1.778279-2 2.510974+4 1.820000-2 2.362895+4 1.862087-2 2.224567+4 1.883649-2 2.157984+4 1.905461-2 2.093331+4 1.927525-2 2.030666+4 1.949845-2 1.969300+4 1.950000-2 1.968883+4 1.972423-2 1.909760+4 2.000000-2 1.840305+4 2.018366-2 1.795992+4 2.065380-2 1.689109+4 2.089296-2 1.638141+4 2.113489-2 1.588710+4 2.137962-2 1.540809+4 2.150000-2 1.517967+4 2.162719-2 1.494173+4 2.213095-2 1.404876+4 2.238721-2 1.362254+4 2.264644-2 1.320953+4 2.290868-2 1.280937+4 2.317395-2 1.242169+4 2.344229-2 1.204596+4 2.350000-2 1.196723+4 2.371374-2 1.167966+4 2.398833-2 1.132414+4 2.426610-2 1.097971+4 2.454709-2 1.064341+4 2.483133-2 1.031738+4 2.500000-2 1.013031+4 2.540973-2 9.695077+3 2.570396-2 9.398146+3 2.630268-2 8.831886+3 2.660725-2 8.562013+3 2.691535-2 8.300535+3 2.722701-2 8.045228+3 2.754229-2 7.797968+3 2.786121-2 7.558474+3 2.818383-2 7.326513+3 2.851018-2 7.101618+3 2.917427-2 6.672826+3 2.985383-2 6.269693+3 3.019952-2 6.077559+3 3.054921-2 5.889035+3 3.235937-2 5.032256+3 3.273407-2 4.876822+3 3.349654-2 4.580312+3 3.388442-2 4.438869+3 3.427678-2 4.301327+3 3.467369-2 4.168008+3 3.548134-2 3.913848+3 3.589219-2 3.792759+3 3.630781-2 3.675508+3 3.672823-2 3.561195+3 3.758374-2 3.342404+3 3.845918-2 3.137354+3 3.890451-2 3.039635+3 3.935501-2 2.944938+3 3.981072-2 2.853254+3 4.000000-2 2.816336+3 4.027170-2 2.764479+3 4.073803-2 2.678519+3 4.120975-2 2.595181+3 4.168694-2 2.514479+3 4.216965-2 2.435951+3 4.315191-2 2.285881+3 4.415704-2 2.145252+3 4.466836-2 2.078287+3 4.518559-2 2.013214+3 4.570882-2 1.950186+3 4.731513-2 1.772803+3 4.786301-2 1.717064+3 4.800000-2 1.703506+3 4.841724-2 1.663063+3 4.897788-2 1.610762+3 5.069907-2 1.463705+3 5.128614-2 1.417794+3 5.188000-2 1.373350+3 5.248075-2 1.330228+3 5.370318-2 1.248087+3 5.500000-2 1.168320+3 5.559043-2 1.134232+3 5.623413-2 1.098353+3 5.688529-2 1.063631+3 5.754399-2 1.029978+3 5.821032-2 9.974066+2 6.025596-2 9.058557+2 6.237348-2 8.228607+2 6.456542-2 7.476087+2 6.531306-2 7.241009+2 6.606934-2 7.012931+2 6.683439-2 6.790659+2 6.756500-2 6.587282+2 6.756500-2 3.373861+3 6.760830-2 3.368391+3 6.806000-2 3.312047+3 6.839116-2 3.271575+3 6.918310-2 3.177554+3 6.998420-2 3.086213+3 7.000000-2 3.084448+3 7.079458-2 2.991914+3 7.161434-2 2.900399+3 7.500000-2 2.581126+3 7.673615-2 2.429604+3 7.762471-2 2.356787+3 7.852356-2 2.286071+3 8.035261-2 2.150954+3 8.056470-2 2.136006+3 8.128305-2 2.086416+3 8.222426-2 2.023814+3 8.317638-2 1.963097+3 8.413951-2 1.904762+3 8.609938-2 1.793260+3 9.015711-2 1.589535+3 9.120108-2 1.542343+3 9.225714-2 1.496558+3 9.332543-2 1.452083+3 9.440609-2 1.408931+3 9.660509-2 1.324447+3 9.772372-2 1.284121+3 1.000000-1 1.207121+3 1.011580-1 1.170373+3 1.023293-1 1.134750+3 1.035142-1 1.100214+3 1.059254-1 1.034271+3 1.071519-1 1.002804+3 1.083927-1 9.722945+2 1.109175-1 9.140421+2 1.122019-1 8.862099+2 1.188502-1 7.592936+2 1.230269-1 6.920522+2 1.244515-1 6.709914+2 1.258925-1 6.503298+2 1.288250-1 6.108971+2 1.303167-1 5.920896+2 1.318257-1 5.738623+2 1.333521-1 5.562016+2 1.364583-1 5.224961+2 1.380384-1 5.064223+2 1.428894-1 4.610740+2 1.462177-1 4.331259+2 1.479108-1 4.197952+2 1.513561-1 3.943542+2 1.531088-1 3.822186+2 1.548817-1 3.704578+2 1.566751-1 3.590582+2 1.584893-1 3.480095+2 1.611800-1 3.324640+2 1.621810-1 3.269235+2 1.659587-1 3.071174+2 1.678804-1 2.976714+2 1.698244-1 2.885192+2 1.717908-1 2.796523+2 1.737801-1 2.710578+2 1.757924-1 2.627281+2 1.798871-1 2.468303+2 1.819701-1 2.392463+2 1.840772-1 2.318959+2 1.905461-1 2.111738+2 1.972423-1 1.923065+2 1.995262-1 1.864005+2 2.000000-1 1.852065+2 2.018366-1 1.806765+2 2.041738-1 1.751329+2 2.089296-1 1.645518+2 2.113489-1 1.595039+2 2.137962-1 1.546110+2 2.213095-1 1.408157+2 2.213400-1 1.407632+2 2.238721-1 1.364969+2 2.264644-1 1.323107+2 2.317395-1 1.243198+2 2.344229-1 1.205466+2 2.371374-1 1.168893+2 2.398833-1 1.133434+2 2.400000-1 1.131960+2 2.426610-1 1.099066+2 2.454709-1 1.065742+2 2.483133-1 1.033438+2 2.540973-1 9.717423+1 2.570396-1 9.422916+1 2.600160-1 9.137342+1 2.630268-1 8.860465+1 2.660725-1 8.592300+1 2.691535-1 8.332259+1 2.722701-1 8.080200+1 2.754229-1 7.835787+1 2.800000-1 7.498723+1 2.851018-1 7.150946+1 2.884032-1 6.937677+1 2.917427-1 6.730787+1 2.951209-1 6.530071+1 3.019952-1 6.146432+1 3.054921-1 5.963178+1 3.090295-1 5.785529+1 3.126079-1 5.613190+1 3.162278-1 5.445990+1 3.198895-1 5.283781+1 3.235937-1 5.126711+1 3.273407-1 4.974320+1 3.311311-1 4.828790+1 3.349654-1 4.687524+1 3.388442-1 4.550392+1 3.427678-1 4.417279+1 3.467369-1 4.288114+1 3.507519-1 4.162755+1 3.548134-1 4.041066+1 3.589219-1 3.922938+1 3.630781-1 3.808262+1 3.672823-1 3.697045+1 3.715352-1 3.589078+1 3.758374-1 3.484267+1 3.801894-1 3.384436+1 3.845918-1 3.287468+1 3.890451-1 3.193321+1 3.935501-1 3.101879+1 4.000000-1 2.977225+1 4.027170-1 2.926806+1 4.073803-1 2.843012+1 4.120975-1 2.761621+1 4.168694-1 2.682596+1 4.216965-1 2.605875+1 4.265795-1 2.532737+1 4.315191-1 2.461685+1 4.365158-1 2.392636+1 4.415705-1 2.325665+1 4.466836-1 2.260572+1 4.518559-1 2.197309+1 4.623810-1 2.076047+1 4.677351-1 2.017979+1 4.731513-1 1.961535+1 4.786301-1 1.906695+1 4.841724-1 1.854485+1 4.897788-1 1.803707+1 5.011872-1 1.706289+1 5.069907-1 1.659689+1 5.128614-1 1.614363+1 5.188000-1 1.570276+1 5.248075-1 1.527414+1 5.308844-1 1.485742+1 5.370318-1 1.445210+1 5.432503-1 1.406640+1 5.495409-1 1.369124+1 5.559043-1 1.332608+1 5.623413-1 1.297069+1 5.688529-1 1.262482+1 5.754399-1 1.228899+1 5.821032-1 1.196225+1 5.888437-1 1.164435+1 5.956621-1 1.133494+1 6.000000-1 1.114417+1 6.025596-1 1.103375+1 6.095369-1 1.074720+1 6.165950-1 1.046810+1 6.237348-1 1.019645+1 6.309573-1 9.931892+0 6.382635-1 9.674200+0 6.456542-1 9.423434+0 6.531306-1 9.179791+0 6.606935-1 8.942484+0 6.683439-1 8.711317+0 6.760830-1 8.486131+0 6.839117-1 8.271918+0 6.918310-1 8.063117+0 6.998420-1 7.859615+0 7.079458-1 7.661472+0 7.161434-1 7.468333+0 7.244360-1 7.280064+0 7.328245-1 7.096569+0 7.413102-1 6.918268+0 7.498942-1 6.744453+0 7.585776-1 6.575008+0 7.673615-1 6.413770+0 7.762471-1 6.256550+0 7.852356-1 6.103185+0 8.000000-1 5.863123+0 8.035261-1 5.807840+0 8.128305-1 5.665665+0 8.222427-1 5.526972+0 8.317638-1 5.392080+0 8.413951-1 5.260485+0 8.511380-1 5.135332+0 8.609938-1 5.013158+0 8.709636-1 4.893959+0 8.810489-1 4.777700+0 8.912509-1 4.664301+0 9.015711-1 4.553614+0 9.120108-1 4.445557+0 9.225714-1 4.340391+0 9.332543-1 4.237772+0 9.440609-1 4.140296+0 9.549926-1 4.045158+0 9.660509-1 3.952222+0 9.772372-1 3.861425+0 9.885531-1 3.772855+0 1.000000+0 3.686319+0 1.011579+0 3.601777+0 1.023293+0 3.519483+0 1.035142+0 3.439075+0 1.047129+0 3.362156+0 1.059254+0 3.286999+0 1.071519+0 3.213525+0 1.083927+0 3.141689+0 1.096478+0 3.071462+0 1.109175+0 3.002812+0 1.122018+0 2.935753+0 1.135011+0 2.870232+0 1.148154+0 2.806206+0 1.161449+0 2.743611+0 1.174898+0 2.682412+0 1.188502+0 2.622748+0 1.202264+0 2.565808+0 1.216186+0 2.510111+0 1.230269+0 2.455666+0 1.244515+0 2.402404+0 1.258925+0 2.350327+0 1.273503+0 2.299376+0 1.288250+0 2.249573+0 1.303167+0 2.200853+0 1.318257+0 2.153192+0 1.333521+0 2.106712+0 1.348963+0 2.062477+0 1.364583+0 2.019172+0 1.380384+0 1.976776+0 1.412538+0 1.894668+0 1.445440+0 1.815972+0 1.462177+0 1.777893+0 1.479108+0 1.740616+0 1.496236+0 1.704119+0 1.500000+0 1.696284+0 1.513561+0 1.668514+0 1.531087+0 1.634722+0 1.566751+0 1.569175+0 1.621810+0 1.475752+0 1.640590+0 1.445889+0 1.678804+0 1.387966+0 1.698244+0 1.359890+0 1.717908+0 1.332471+0 1.737801+0 1.306336+0 1.757924+0 1.280730+0 1.778279+0 1.255628+0 1.819701+0 1.206888+0 1.840772+0 1.183233+0 1.862087+0 1.160061+0 1.883649+0 1.137343+0 1.905461+0 1.115069+0 1.927525+0 1.093241+0 1.949845+0 1.071906+0 1.972423+0 1.051546+0 2.000000+0 1.027522+0 2.018366+0 1.012006+0 2.041738+0 9.927969-1 2.044000+0 9.909689-1 2.065380+0 9.739531-1 2.089296+0 9.554667-1 2.113489+0 9.373477-1 2.162719+0 9.021349-1 2.187762+0 8.850352-1 2.213095+0 8.683163-1 2.238721+0 8.523979-1 2.264644+0 8.367825-1 2.290868+0 8.214531-1 2.317395+0 8.064048-1 2.344229+0 7.916325-1 2.371374+0 7.771306-1 2.398833+0 7.629080-1 2.454709+0 7.352397-1 2.483133+0 7.217898-1 2.511886+0 7.086303-1 2.540973+0 6.960858-1 2.570396+0 6.837725-1 2.600160+0 6.716772-1 2.630268+0 6.597960-1 2.660725+0 6.481250-1 2.722701+0 6.253986-1 2.754229+0 6.143461-1 2.818383+0 5.928248-1 2.851018+0 5.823529-1 2.884032+0 5.720990-1 2.917427+0 5.623055-1 2.951209+0 5.526860-1 3.000000+0 5.392690-1 3.019952+0 5.339381-1 3.090295+0 5.158265-1 3.162278+0 4.983289-1 3.198895+0 4.898118-1 3.273407+0 4.732119-1 3.311311+0 4.651275-1 3.349654+0 4.572071-1 3.388442+0 4.496405-1 3.427678+0 4.422046-1 3.467369+0 4.348917-1 3.507519+0 4.276998-1 3.589219+0 4.136710-1 3.672823+0 4.001022-1 3.715352+0 3.934915-1 3.801894+0 3.805963-1 3.845918+0 3.743105-1 3.890451+0 3.681490-1 3.935501+0 3.622599-1 4.000000+0 3.541104-1 4.027170+0 3.507711-1 4.073803+0 3.451640-1 4.168694+0 3.342175-1 4.265795+0 3.236182-1 4.315191+0 3.184496-1 4.466836+0 3.034346-1 4.518559+0 2.985906-1 4.570882+0 2.938394-1 4.623810+0 2.892947-1 4.677351+0 2.848233-1 4.731513+0 2.804211-1 4.786301+0 2.760869-1 4.897788+0 2.676187-1 5.011872+0 2.594101-1 5.069907+0 2.554041-1 5.308844+0 2.399899-1 5.370318+0 2.362854-1 5.432503+0 2.326496-1 5.495409+0 2.291678-1 5.559043+0 2.257405-1 5.623413+0 2.223646-1 5.688529+0 2.190392-1 5.821032+0 2.125367-1 5.956621+0 2.062273-1 6.025596+0 2.031458-1 6.309573+0 1.912739-1 6.382635+0 1.884171-1 6.456542+0 1.856118-1 6.531306+0 1.829234-1 6.606934+0 1.802757-1 6.683439+0 1.776664-1 6.760830+0 1.750948-1 6.918310+0 1.700629-1 7.079458+0 1.651756-1 7.244360+0 1.604327-1 7.585776+0 1.513519-1 7.673615+0 1.491640-1 7.762471+0 1.470138-1 7.852356+0 1.449473-1 8.000000+0 1.416669-1 8.128305+0 1.389239-1 8.222427+0 1.369723-1 8.413951+0 1.331510-1 8.709636+0 1.276180-1 8.912509+0 1.240608-1 9.225714+0 1.189103-1 9.332543+0 1.172469-1 9.440609+0 1.156455-1 9.549926+0 1.140670-1 9.660509+0 1.125100-1 9.772372+0 1.109743-1 1.035142+1 1.036044-1 1.122018+1 9.410156-2 1.148154+1 9.155220-2 1.161449+1 9.030362-2 1.174898+1 8.907206-2 1.188502+1 8.789234-2 1.200000+1 8.691776-2 1.202264+1 8.672823-2 1.273503+1 8.113483-2 1.412538+1 7.196011-2 1.445440+1 7.006790-2 1.462177+1 6.914057-2 1.479108+1 6.822551-2 1.496236+1 6.734530-2 1.500000+1 6.715475-2 1.513561+1 6.647662-2 1.531087+1 6.561913-2 1.621810+1 6.149473-2 1.819701+1 5.400735-2 1.862087+1 5.262397-2 1.883649+1 5.194564-2 1.905461+1 5.127605-2 1.927525+1 5.063075-2 1.949845+1 4.999383-2 1.995262+1 4.874411-2 2.000000+1 4.861717-2 2.113489+1 4.575474-2 2.426610+1 3.930699-2 2.454709+1 3.881264-2 2.511886+1 3.784301-2 2.540973+1 3.736731-2 2.570396+1 3.689760-2 2.600160+1 3.644253-2 2.630268+1 3.599426-2 2.660725+1 3.555166-2 2.722701+1 3.468283-2 2.884032+1 3.260249-2 3.311311+1 2.810466-2 3.349654+1 2.775916-2 3.388442+1 2.741789-2 3.467369+1 2.674819-2 3.507519+1 2.641951-2 3.548134+1 2.609487-2 3.589219+1 2.577940-2 3.630781+1 2.546839-2 3.672823+1 2.516125-2 3.715352+1 2.485782-2 3.801894+1 2.426193-2 4.073803+1 2.255861-2 4.120975+1 2.228659-2 5.000000+1 1.817854-2 5.011872+1 1.813317-2 5.069907+1 1.791453-2 5.128614+1 1.769862-2 5.188000+1 1.748531-2 5.248075+1 1.727457-2 5.308844+1 1.706986-2 5.370318+1 1.686769-2 5.432503+1 1.666792-2 5.495409+1 1.647052-2 5.559043+1 1.627546-2 5.821032+1 1.551807-2 5.888437+1 1.533429-2 8.413951+1 1.059916-2 8.511380+1 1.047365-2 8.609938+1 1.034966-2 8.709636+1 1.022714-2 8.810489+1 1.010774-2 8.912509+1 9.989781-3 9.015711+1 9.873209-3 9.225714+1 9.644131-3 9.440609+1 9.420367-3 1.640590+2 5.362680-3 1.659587+2 5.300106-3 1.678804+2 5.238274-3 1.698244+2 5.177163-3 1.717908+2 5.117279-3 1.737801+2 5.058091-3 1.757924+2 4.999602-3 1.819701+2 4.828163-3 1.840772+2 4.772334-3 3.273407+2 2.667914-3 3.311311+2 2.637066-3 3.349654+2 2.606578-3 3.388442+2 2.576441-3 3.427678+2 2.546832-3 3.467369+2 2.517565-3 3.507519+2 2.488639-3 3.630781+2 2.403840-3 3.672823+2 2.376221-3 1.303167+3 6.665304-4 1.318257+3 6.588723-4 1.333521+3 6.513031-4 1.348963+3 6.438202-4 1.364583+3 6.364468-4 1.380384+3 6.291580-4 1.396368+3 6.219533-4 1.445440+3 6.008300-4 1.462177+3 5.939498-4 4.623810+4 1.875655-5 1.000000+5 8.670010-6 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.300000-6 6.300000-6 7.010000-6 6.300000-6 7.010000-6 6.514744-6 7.310000-6 6.519642-6 7.310000-6 6.822227-6 8.222426-6 6.718526-6 9.332543-6 6.646465-6 1.083927-5 6.602245-6 1.350000-5 6.582102-6 3.404000-5 6.606602-6 3.404000-5 8.670593-6 3.550000-5 8.947557-6 3.614000-5 9.052016-6 3.614000-5 1.050949-5 3.740000-5 1.088669-5 4.073803-5 1.174229-5 4.189000-5 1.203082-5 4.189000-5 2.859648-5 4.300000-5 2.885029-5 4.466836-5 2.901869-5 4.900000-5 2.910026-5 5.115000-5 2.910735-5 5.115000-5 3.548503-5 5.290000-5 3.586197-5 5.559043-5 3.609423-5 5.950000-5 3.615591-5 6.760830-5 3.592334-5 7.881000-5 3.554485-5 7.881000-5 3.615250-5 8.810489-5 3.590918-5 1.202264-4 3.569715-5 2.050000-4 3.546159-5 2.307200-4 3.543028-5 2.307200-4 3.692849-5 2.424800-4 3.709826-5 2.424800-4 3.803688-5 2.520000-4 3.817531-5 2.630268-4 3.801973-5 2.835000-4 3.759081-5 3.000000-4 3.750843-5 3.162278-4 3.767960-5 3.350000-4 3.809741-5 3.715352-4 3.924229-5 3.973600-4 4.015875-5 3.973600-4 4.413274-5 4.614100-4 4.674773-5 4.614100-4 4.777388-5 5.432503-4 5.095157-5 5.546500-4 5.136229-5 5.546500-4 5.349470-5 6.200000-4 5.594109-5 7.161434-4 5.907706-5 8.200000-4 6.199208-5 9.500000-4 6.507436-5 1.096478-3 6.799005-5 1.258925-3 7.068427-5 1.445440-3 7.327358-5 1.678804-3 7.593431-5 1.741600-3 7.656793-5 1.741600-3 1.114650-4 1.802300-3 1.120686-4 1.802300-3 1.188962-4 1.885000-3 1.215888-4 1.950000-3 1.226525-4 2.184100-3 1.227006-4 2.184100-3 1.314355-4 2.461400-3 1.324562-4 2.461400-3 1.369368-4 2.684700-3 1.382098-4 2.684700-3 1.425337-4 3.467369-3 1.473506-4 4.466836-3 1.522622-4 5.623413-3 1.568066-4 7.000000-3 1.611244-4 8.810489-3 1.655744-4 9.879200-3 1.677391-4 9.879200-3 2.186953-4 1.116300-2 2.195133-4 1.116300-2 2.319999-4 1.165600-2 2.323237-4 1.165600-2 2.476249-4 1.670000-2 2.538638-4 2.398833-2 2.602006-4 3.349654-2 2.660482-4 4.570882-2 2.714281-4 6.237348-2 2.765358-4 6.756500-2 2.777903-4 6.756500-2 2.575344-4 1.737801-1 2.590493-4 5.308844-1 2.600347-4 1.000000+5 2.601881-4 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.300000-6 0.0 2.424800-4 0.0 2.424800-4 7.63124-10 2.458000-4 8.12265-10 2.490000-4 8.63276-10 2.515000-4 9.04704-10 2.520000-4 9.11996-10 2.553000-4 9.36585-10 2.570396-4 9.45204-10 2.590000-4 9.48955-10 2.608000-4 9.46892-10 2.630268-4 9.38079-10 2.660725-4 9.18854-10 2.700000-4 8.87294-10 2.760000-4 8.34430-10 2.800000-4 8.01745-10 2.851018-4 7.62588-10 2.890000-4 7.37172-10 2.930000-4 7.16223-10 2.970000-4 7.00847-10 3.000000-4 6.92911-10 3.040000-4 6.87004-10 3.080000-4 6.86153-10 3.115000-4 6.89602-10 3.150000-4 6.96587-10 3.190000-4 7.08796-10 3.240000-4 7.29332-10 3.300000-4 7.60877-10 3.350000-4 7.92185-10 3.430000-4 8.50650-10 3.507519-4 9.15287-10 3.550000-4 9.52338-10 3.672823-4 1.068183-9 3.758374-4 1.154612-9 3.890451-4 1.293700-9 3.973600-4 1.383594-9 3.973600-4 2.492574-9 4.614100-4 3.289871-9 4.614100-4 3.945427-9 5.080000-4 4.565026-9 5.370318-4 4.939315-9 5.546500-4 5.154858-9 5.546500-4 5.929633-9 5.821032-4 6.303173-9 6.100000-4 6.659092-9 6.606934-4 7.265990-9 7.328245-4 8.060949-9 7.673615-4 8.418983-9 8.222426-4 8.947880-9 9.200000-4 9.801050-9 9.885531-4 1.034375-8 1.047129-3 1.077051-8 1.161449-3 1.153079-8 1.288250-3 1.227475-8 1.428894-3 1.300554-8 1.570000-3 1.364750-8 1.741600-3 1.434164-8 1.741600-3 1.425752-8 1.802300-3 1.432977-8 1.802300-3 4.760031-6 1.819701-3 5.061807-6 1.846000-3 5.537348-6 1.863000-3 5.910047-6 1.870000-3 6.021141-6 1.878000-3 6.171403-6 1.893000-3 6.411122-6 1.910000-3 6.623641-6 1.920000-3 6.737145-6 1.940000-3 6.920407-6 1.950000-3 7.004450-6 1.995262-3 7.022288-6 2.184100-3 6.987209-6 2.184100-3 6.878121-6 2.461400-3 6.828399-6 2.461400-3 7.541161-6 2.684700-3 7.590534-6 2.684700-3 7.735879-6 3.235937-3 7.848489-6 4.168694-3 7.998692-6 5.623413-3 8.168068-6 7.328245-3 8.314779-6 9.332543-3 8.445611-6 9.879200-3 8.477624-6 9.879200-3 1.352213-3 1.023293-2 1.354420-3 1.116300-2 1.351074-3 1.116300-2 1.829058-3 1.161449-2 1.834033-3 1.165600-2 1.833973-3 1.165600-2 1.915497-3 1.548817-2 1.935057-3 2.371374-2 1.949119-3 4.466836-2 1.954698-3 6.756500-2 1.953521-3 6.756500-2 4.756503-2 8.056470-2 4.794649-2 1.035142-1 4.835340-2 1.428894-1 4.868710-2 2.264644-1 4.895688-2 6.456542-1 4.932248-2 1.174898+0 4.948179-2 1.000000+5 4.947034-2 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.300000-6 0.0 7.010000-6 7.100000-7 7.010000-6 4.952558-7 7.310000-6 7.903582-7 7.310000-6 4.877730-7 7.500000-6 7.036809-7 7.852356-6 1.097836-6 8.317638-6 1.607502-6 8.912509-6 2.244257-6 9.440609-6 2.799075-6 1.050000-5 3.890934-6 1.273503-5 6.150621-6 3.404000-5 2.743340-5 3.404000-5 2.536941-5 3.614000-5 2.708798-5 3.614000-5 2.563051-5 3.863700-5 2.742284-5 4.189000-5 2.985918-5 4.189000-5 1.329352-5 4.240000-5 1.366235-5 4.300000-5 1.414971-5 4.415704-5 1.517994-5 4.570882-5 1.664517-5 5.115000-5 2.204265-5 5.115000-5 1.566497-5 5.220000-5 1.645799-5 5.350000-5 1.756268-5 5.450000-5 1.846677-5 5.754399-5 2.138938-5 6.165950-5 2.553589-5 7.881000-5 4.326515-5 7.881000-5 4.265750-5 9.015711-5 5.427613-5 2.220000-4 1.865598-4 2.307200-4 1.952897-4 2.307200-4 1.937915-4 2.424800-4 2.053817-4 2.424800-4 2.044424-4 2.700000-4 2.321465-4 3.150000-4 2.773414-4 3.973600-4 3.571999-4 3.973600-4 3.532248-4 4.614100-4 4.146590-4 4.614100-4 4.136322-4 5.546500-4 5.032826-4 5.546500-4 5.011494-4 8.709636-4 8.077007-4 1.531087-3 1.456761-3 1.741600-3 1.665018-3 1.741600-3 1.630121-3 1.802300-3 1.690217-3 1.802300-3 1.678644-3 1.995262-3 1.865552-3 2.184100-3 2.054412-3 2.184100-3 2.045786-3 2.461400-3 2.322115-3 2.461400-3 2.316922-3 2.684700-3 2.538900-3 2.684700-3 2.534430-3 9.879200-3 9.702983-3 9.879200-3 8.308292-3 1.116300-2 9.592413-3 1.116300-2 9.101942-3 1.165600-2 9.589703-3 1.165600-2 9.492878-3 2.917427-2 2.695853-2 6.756500-2 6.533369-2 6.756500-2 1.974244-2 7.079458-2 2.285549-2 7.762471-2 2.948312-2 1.011580-1 5.257429-2 1.621810-1 1.131366-1 3.000000+0 2.950270+0 1.000000+5 9.999995+4 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 6.756500-2 2.715133+3 7.000000-2 2.487880+3 7.161434-2 2.340724+3 7.500000-2 2.089240+3 8.317638-2 1.594905+3 9.440609-2 1.150621+3 1.244515-1 5.519483+2 2.317395-1 1.031200+2 2.800000-1 6.229320+1 3.273407-1 4.136809+1 3.758374-1 2.900427+1 4.216965-1 2.170842+1 4.786301-1 1.589835+1 5.370318-1 1.206007+1 6.025596-1 9.215147+0 6.760830-1 7.093457+0 7.585776-1 5.501078+0 8.413951-1 4.405093+0 9.332543-1 3.551395+0 1.035142+0 2.883354+0 1.188502+0 2.199336+0 1.333521+0 1.766483+0 1.513561+0 1.398800+0 1.717908+0 1.117062+0 1.949845+0 8.986389-1 2.213095+0 7.279548-1 2.511886+0 5.940829-1 2.884032+0 4.796271-1 3.349654+0 3.833075-1 3.890451+0 3.086453-1 4.570882+0 2.463460-1 5.432503+0 1.950459-1 6.456542+0 1.556115-1 7.762471+0 1.232523-1 9.332543+0 9.829783-2 1.174898+1 7.467851-2 1.479108+1 5.720072-2 1.905461+1 4.299000-2 2.570396+1 3.093456-2 3.548134+1 2.187783-2 5.248075+1 1.448314-2 8.709636+1 8.574578-3 1.698244+2 4.340597-3 3.388442+2 2.160125-3 1.348963+3 5.397901-4 1.000000+5 7.269100-6 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 6.756500-2 2.526200-4 1.000000+5 2.526200-4 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.756500-2 5.863100-2 1.000000+5 5.863100-2 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.756500-2 8.681380-3 1.000000+5 9.999994+4 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.165600-2 1.014879+4 1.185000-2 9.814396+3 1.216186-2 9.412812+3 1.244515-2 9.039277+3 1.288250-2 8.549032+3 1.412538-2 7.252366+3 1.540000-2 6.235640+3 1.670000-2 5.357580+3 1.717908-2 5.072306+3 1.820000-2 4.558980+3 1.972423-2 3.893068+3 2.350000-2 2.750740+3 2.691535-2 2.076547+3 3.019952-2 1.630163+3 3.630781-2 1.092126+3 4.168694-2 8.016451+2 4.731513-2 6.005048+2 5.559043-2 4.123779+2 6.606934-2 2.730950+2 7.762471-2 1.844116+2 9.225714-2 1.201556+2 1.109175-1 7.551291+1 1.380384-1 4.314590+1 2.630268-1 8.136304+0 3.198895-1 4.936696+0 3.758374-1 3.294681+0 4.365158-1 2.280226+0 5.011872-1 1.635839+0 5.688529-1 1.215868+0 6.456542-1 9.105678-1 7.328245-1 6.872261-1 8.222427-1 5.360348-1 9.120108-1 4.315298-1 1.011579+0 3.498222-1 1.174898+0 2.606205-1 1.318257+0 2.091786-1 1.496236+0 1.655218-1 1.698244+0 1.320858-1 1.927525+0 1.061901-1 2.187762+0 8.596485-2 2.483133+0 7.010864-2 2.851018+0 5.656254-2 3.311311+0 4.517599-2 3.845918+0 3.635546-2 4.518559+0 2.900151-2 5.370318+0 2.295052-2 6.382635+0 1.830105-2 7.673615+0 1.448867-2 9.225714+0 1.154941-2 1.174898+1 8.653359-3 1.479108+1 6.628100-3 1.905461+1 4.981466-3 2.600160+1 3.539964-3 3.589219+1 2.504185-3 5.248075+1 1.678224-3 8.709636+1 9.935669-4 1.698244+2 5.029745-4 3.388442+2 2.503063-4 1.348963+3 6.254814-5 1.000000+5 8.423100-7 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.165600-2 3.452800-4 1.000000+5 3.452800-4 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.165600-2 2.435800-3 1.000000+5 2.435800-3 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.165600-2 8.874920-3 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.116300-2 1.993375+4 1.132500-2 1.940200+4 1.155000-2 1.852600+4 1.174898-2 1.770500+4 1.202264-2 1.675500+4 1.428894-2 1.070500+4 1.584893-2 8.113400+3 1.883649-2 5.050200+3 2.150000-2 3.503400+3 2.691535-2 1.847100+3 3.388442-2 9.442500+2 4.216965-2 4.932000+2 5.188000-2 2.642300+2 6.531306-2 1.310400+2 1.318257-1 1.511559+1 1.678804-1 7.221228+0 2.018366-1 4.140658+0 2.400000-1 2.472691+0 2.800000-1 1.574506+0 3.198895-1 1.073490+0 3.630781-1 7.509802-1 4.120975-1 5.293200-1 4.623810-1 3.878748-1 5.188000-1 2.863277-1 5.754399-1 2.193610-1 6.382635-1 1.691744-1 7.328245-1 1.207907-1 8.035261-1 9.698583-2 8.709636-1 8.057361-2 9.440609-1 6.744089-2 1.011579+0 5.830208-2 1.109175+0 4.839480-2 1.216186+0 4.043666-2 1.333521+0 3.401575-2 1.513561+0 2.704610-2 1.737801+0 2.117842-2 1.972423+0 1.704158-2 2.238721+0 1.381410-2 2.540973+0 1.128180-2 2.917427+0 9.115045-3 3.388442+0 7.288836-3 3.935501+0 5.872344-3 4.623810+0 4.689648-3 5.495409+0 3.714995-3 6.531306+0 2.965350-3 7.852356+0 2.349838-3 9.440609+0 1.874858-3 1.174898+1 1.444261-3 1.479108+1 1.106272-3 1.927525+1 8.208534-4 2.630268+1 5.835045-4 3.630781+1 4.128876-4 5.308844+1 2.767721-4 8.810489+1 1.638861-4 1.737801+2 8.201216-5 3.467369+2 4.081973-5 1.380384+3 1.020165-5 1.000000+5 1.405900-7 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.116300-2 2.648800-4 1.000000+5 2.648800-4 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.116300-2 3.087700-3 1.000000+5 3.087700-3 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.116300-2 7.810420-3 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 9.879200-3 4.493296+4 9.985000-3 4.384991+4 1.011579-2 4.243596+4 1.071519-2 3.642453+4 1.273503-2 2.263132+4 1.412538-2 1.687090+4 1.737801-2 9.255453+3 1.927525-2 6.839470+3 2.426610-2 3.426795+3 3.019952-2 1.751084+3 3.672823-2 9.497147+2 4.466836-2 5.103938+2 5.500000-2 2.613908+2 6.918310-2 1.239332+2 9.332543-2 4.637725+1 1.364583-1 1.328074+1 1.698244-1 6.494120+0 2.018366-1 3.717760+0 2.344229-1 2.308636+0 2.691535-1 1.497518+0 3.054921-1 1.014504+0 3.427678-1 7.171543-1 3.845918-1 5.108075-1 4.265795-1 3.790234-1 4.731513-1 2.832938-1 5.248075-1 2.133571-1 5.821032-1 1.619542-1 6.382635-1 1.276714-1 6.998420-1 1.013201-1 7.673615-1 8.093264-2 8.609938-1 6.147703-2 9.225714-1 5.244073-2 9.772372-1 4.619252-2 1.047129+0 3.997006-2 1.135011+0 3.398548-2 1.244515+0 2.844336-2 1.380384+0 2.349043-2 1.678804+0 1.657110-2 1.905461+0 1.330641-2 2.162719+0 1.076436-2 2.454709+0 8.773286-3 2.818383+0 7.073299-3 3.273407+0 5.645932-3 3.801894+0 4.540971-3 4.466836+0 3.620302-3 5.308844+0 2.863416-3 6.309573+0 2.282264-3 7.585776+0 1.805903-3 9.225714+0 1.419084-3 1.174898+1 1.063240-3 1.479108+1 8.143671-4 1.905461+1 6.120507-4 2.600160+1 4.349410-4 3.589219+1 3.076826-4 5.308844+1 2.037430-4 8.810489+1 1.206398-4 1.717908+2 6.108084-5 3.427678+2 3.039996-5 1.364583+3 7.597013-6 1.000000+5 1.034900-7 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 9.879200-3 2.498700-4 1.000000+5 2.498700-4 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 9.879200-3 2.174300-3 1.000000+5 2.174300-3 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 9.879200-3 7.455030-3 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.684700-3 2.932167+4 2.800000-3 2.817580+4 3.235937-3 2.326963+4 3.467369-3 2.107537+4 4.265795-3 1.546491+4 4.650000-3 1.355042+4 5.128614-3 1.154367+4 6.025596-3 8.825221+3 6.760830-3 7.221375+3 7.852356-3 5.533556+3 9.440609-3 3.939476+3 1.080000-2 3.051560+3 1.244515-2 2.318681+3 1.479108-2 1.645368+3 1.757924-2 1.157373+3 2.089296-2 8.071982+2 2.483133-2 5.583084+2 2.917427-2 3.927739+2 3.427678-2 2.743327+2 4.073803-2 1.852495+2 4.800000-2 1.266036+2 5.688529-2 8.472168+1 6.760830-2 5.587809+1 8.056470-2 3.634380+1 9.660509-2 2.311275+1 1.188502-1 1.367770+1 1.548817-1 6.938906+0 2.454709-1 2.110942+0 3.054921-1 1.207414+0 3.630781-1 7.820815-1 4.168694-1 5.561140-1 4.786301-1 3.982750-1 5.432503-1 2.953018-1 6.165950-1 2.205691-1 6.998420-1 1.660900-1 7.852356-1 1.292406-1 8.810489-1 1.012023-1 9.772372-1 8.178945-2 1.122018+0 6.219222-2 1.273503+0 4.870798-2 1.445440+0 3.846081-2 1.621810+0 3.125231-2 1.840772+0 2.505997-2 2.089296+0 2.023444-2 2.371374+0 1.645846-2 2.722701+0 1.324415-2 3.162278+0 1.055312-2 3.672823+0 8.473050-3 4.265795+0 6.852746-3 5.011872+0 5.493071-3 5.956621+0 4.367074-3 7.079458+0 3.497651-3 8.709636+0 2.702487-3 1.122018+1 1.993069-3 1.412538+1 1.524303-3 1.819701+1 1.144086-3 2.454709+1 8.222252-4 3.388442+1 5.808406-4 5.069907+1 3.795651-4 8.511380+1 2.219476-4 1.659587+2 1.123229-4 3.311311+2 5.589047-5 1.318257+3 1.396413-5 1.000000+5 1.837600-7 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.684700-3 2.432400-4 1.000000+5 2.432400-4 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.684700-3 1.112100-5 1.000000+5 1.112100-5 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.684700-3 2.430339-3 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 2.461400-3 4.736344+4 2.540973-3 4.627809+4 2.770000-3 4.200700+4 2.920000-3 3.939380+4 3.162278-3 3.536751+4 3.507519-3 3.050328+4 3.801894-3 2.702049+4 4.120975-3 2.375212+4 4.415704-3 2.113177+4 5.188000-3 1.587945+4 5.559043-3 1.396438+4 6.382635-3 1.067471+4 7.000000-3 8.866040+3 8.000000-3 6.704520+3 8.810489-3 5.446859+3 1.011579-2 4.004692+3 1.122018-2 3.158282+3 1.273503-2 2.345508+3 1.450000-2 1.714198+3 1.640590-2 1.262817+3 1.862087-2 9.165949+2 2.137962-2 6.411389+2 2.454709-2 4.450219+2 2.818383-2 3.066562+2 3.273407-2 2.032988+2 3.845918-2 1.294959+2 4.518559-2 8.184011+1 5.370318-2 4.967998+1 6.531306-2 2.798636+1 8.128305-2 1.462040+1 1.659587-1 1.718394+0 2.000000-1 9.867340-1 2.600160-1 4.591059-1 3.019952-1 2.989342-1 3.467369-1 2.026221-1 3.935501-1 1.428590-1 4.466836-1 1.014871-1 5.011872-1 7.490749-2 5.623413-1 5.569783-2 6.237348-1 4.296303-2 6.918310-1 3.338140-2 7.673615-1 2.611879-2 8.709636-1 1.947762-2 9.440609-1 1.627871-2 1.011579+0 1.405907-2 1.109175+0 1.166372-2 1.216186+0 9.745097-3 1.333521+0 8.199293-3 1.513561+0 6.521895-3 1.737801+0 5.106573-3 1.972423+0 4.108806-3 2.238721+0 3.330750-3 2.540973+0 2.719931-3 2.917427+0 2.197168-3 3.388442+0 1.756949-3 3.935501+0 1.415539-3 4.623810+0 1.130386-3 5.495409+0 8.954675-4 6.531306+0 7.147947-4 7.852356+0 5.664147-4 9.440609+0 4.519224-4 1.174898+1 3.481430-4 1.496236+1 2.631735-4 1.949845+1 1.953487-4 2.660725+1 1.389079-4 3.715352+1 9.712227-5 5.432503+1 6.513337-5 8.912509+1 3.904079-5 1.737801+2 1.976846-5 3.467369+2 9.839567-6 1.380384+3 2.459076-6 1.000000+5 3.388800-8 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 2.461400-3 2.115900-4 1.000000+5 2.115900-4 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.461400-3 1.941700-5 1.000000+5 1.941700-5 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.461400-3 2.230393-3 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.184100-3 1.410458+5 2.511886-3 1.150183+5 2.691535-3 1.032379+5 3.054921-3 8.360963+4 3.349654-3 7.138647+4 3.630781-3 6.177324+4 3.900000-3 5.401200+4 4.650000-3 3.833540+4 5.011872-3 3.291779+4 5.821032-3 2.401748+4 6.382635-3 1.965977+4 7.328245-3 1.442104+4 8.128305-3 1.134975+4 9.225714-3 8.408435+3 1.047129-2 6.174525+3 1.161449-2 4.769097+3 1.333521-2 3.351564+3 1.531087-2 2.333801+3 1.737801-2 1.662092+3 1.950000-2 1.213320+3 2.213095-2 8.531788+2 2.540973-2 5.765783+2 2.917427-2 3.867358+2 3.349654-2 2.575876+2 3.890451-2 1.646183+2 4.570882-2 1.008257+2 5.370318-2 6.128456+1 6.456542-2 3.441431+1 7.852356-2 1.849634+1 1.000000-1 8.521880+0 1.659587-1 1.669220+0 2.018366-1 8.947881-1 2.371374-1 5.390858-1 2.722701-1 3.515742-1 3.090295-1 2.392516-1 3.467369-1 1.697548-1 3.890451-1 1.213132-1 4.315191-1 9.027488-2 4.786301-1 6.764693-2 5.308844-1 5.107182-2 5.888437-1 3.885659-2 6.531306-1 2.979249-2 7.244360-1 2.302514-2 8.222427-1 1.697087-2 8.912509-1 1.404484-2 9.549926-1 1.202696-2 1.011579+0 1.063497-2 1.096478+0 9.019929-3 1.202264+0 7.527403-3 1.303167+0 6.466094-3 1.462177+0 5.247476-3 1.717908+0 3.942337-3 1.949845+0 3.169635-3 2.213095+0 2.567506-3 2.511886+0 2.095282-3 2.884032+0 1.691501-3 3.349654+0 1.351770-3 3.890451+0 1.088456-3 4.570882+0 8.687554-4 5.432503+0 6.878524-4 6.456542+0 5.487844-4 7.762471+0 4.346648-4 9.332543+0 3.466467-4 1.174898+1 2.633588-4 1.479108+1 2.017247-4 1.905461+1 1.516097-4 2.600160+1 1.077328-4 3.630781+1 7.528699-5 5.308844+1 5.046742-5 8.810489+1 2.988357-5 1.737801+2 1.495425-5 3.467369+2 7.443358-6 1.380384+3 1.860247-6 1.000000+5 2.563500-8 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.184100-3 1.876000-4 1.000000+5 1.876000-4 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.184100-3 6.176700-6 1.000000+5 6.176700-6 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.184100-3 1.990323-3 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.802300-3 2.624447+5 1.846000-3 3.088873+5 1.862087-3 3.319818+5 1.878000-3 3.484329+5 1.885000-3 3.545905+5 1.893000-3 3.608511+5 1.910000-3 3.702373+5 1.920000-3 3.748238+5 1.935000-3 3.794867+5 1.950000-3 3.823956+5 1.995262-3 3.627807+5 2.300000-3 2.527292+5 2.511886-3 2.009202+5 2.754229-3 1.571385+5 3.054921-3 1.182427+5 3.400000-3 8.738920+4 3.800000-3 6.346800+4 4.265795-3 4.499020+4 4.731513-3 3.293138+4 5.308844-3 2.307185+4 6.000000-3 1.571832+4 6.918310-3 9.948679+3 7.673615-3 7.092768+3 8.810489-3 4.480741+3 1.000000-2 2.917980+3 1.135011-2 1.887385+3 1.303167-2 1.164377+3 1.500000-2 7.064880+2 1.737801-2 4.155733+2 2.018366-2 2.403419+2 2.344229-2 1.379649+2 2.754229-2 7.529527+1 3.235937-2 4.080299+1 3.935501-2 1.922666+1 4.897788-2 8.223693+0 1.011580-1 4.805260-1 1.244515-1 2.147661-1 1.479108-1 1.105332-1 1.717908-1 6.258097-2 1.972423-1 3.727076-2 2.264644-1 2.234897-2 2.570396-1 1.408778-2 2.884032-1 9.324800-3 3.235937-1 6.217012-3 3.589219-1 4.345481-3 4.000000-1 3.009789-3 4.415705-1 2.167777-3 4.897788-1 1.548503-3 5.370318-1 1.155734-3 5.888437-1 8.687584-4 6.309573-1 7.057098-4 6.839117-1 5.573037-4 7.498942-1 4.286771-4 8.035261-1 3.535990-4 8.609938-1 2.908765-4 9.120108-1 2.488096-4 9.549926-1 2.208398-4 1.000000+0 1.972344-4 1.047129+0 1.774146-4 1.096478+0 1.606833-4 1.161449+0 1.431241-4 1.230269+0 1.283985-4 1.333521+0 1.110654-4 1.479108+0 9.296469-5 1.862087+0 6.210495-5 2.089296+0 5.110752-5 2.371374+0 4.157044-5 2.722701+0 3.345155-5 3.162278+0 2.665427-5 3.672823+0 2.140034-5 4.265795+0 1.730824-5 5.011872+0 1.387447-5 5.956621+0 1.103000-5 7.079458+0 8.834327-6 8.709636+0 6.825753-6 1.122018+1 5.034141-6 1.412538+1 3.850053-6 1.819701+1 2.889686-6 2.454709+1 2.076738-6 3.388442+1 1.467075-6 5.069907+1 9.586950-7 8.511380+1 5.605758-7 1.659587+2 2.836971-7 3.311311+2 1.411624-7 1.318257+3 3.526949-8 1.000000+5 4.64130-10 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.802300-3 1.436300-4 1.000000+5 1.436300-4 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.802300-3 2.195200-5 1.000000+5 2.195200-5 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.802300-3 1.636718-3 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.741600-3 6.586724+5 1.863000-3 6.110023+5 1.870000-3 6.095040+5 1.940000-3 5.580768+5 2.290868-3 3.627319+5 2.540973-3 2.751688+5 2.786121-3 2.138398+5 3.019952-3 1.706270+5 3.311311-3 1.311076+5 3.672823-3 9.703389+4 4.027170-3 7.361573+4 4.623810-3 4.834538+4 5.128614-3 3.497042+4 5.800000-3 2.367294+4 6.606934-3 1.551695+4 7.413102-3 1.061152+4 8.413951-3 6.933839+3 9.549926-3 4.495694+3 1.083927-2 2.893336+3 1.230269-2 1.848960+3 1.400000-2 1.162590+3 1.603245-2 7.093928+2 1.862087-2 4.077648+2 2.162719-2 2.324367+2 2.500000-2 1.338696+2 2.917427-2 7.383216+1 3.467369-2 3.762744+1 4.168694-2 1.818568+1 5.128614-2 7.961833+0 1.035142-1 4.735983-1 1.244515-1 2.273015-1 1.462177-1 1.204123-1 1.678804-1 7.033075-2 1.905461-1 4.325877-2 2.018366-1 3.479115-2 2.398833-1 1.832790-2 2.660725-1 1.256524-2 2.951209-1 8.678173-3 3.235937-1 6.287990-3 3.548134-1 4.587504-3 3.890451-1 3.371156-3 4.216965-1 2.591416-3 4.623810-1 1.932573-3 5.069907-1 1.451871-3 5.495409-1 1.136943-3 6.000000-1 8.773388-4 6.531306-1 6.895904-4 7.079458-1 5.525131-4 8.128305-1 3.827227-4 8.709636-1 3.189622-4 9.225714-1 2.757872-4 9.660509-1 2.468253-4 1.011579+0 2.221871-4 1.071519+0 1.962690-4 1.135011+0 1.745054-4 1.216186+0 1.526467-4 1.318257+0 1.315941-4 1.819701+0 7.467051-5 2.044000+0 6.125953-5 2.317395+0 4.984989-5 2.630268+0 4.078384-5 3.019952+0 3.300493-5 3.507519+0 2.643636-5 4.073803+0 2.133425-5 4.786301+0 1.706568-5 5.688529+0 1.354020-5 6.760830+0 1.082327-5 8.222427+0 8.466683-6 9.772372+0 6.861538-6 1.202264+1 5.363142-6 1.531087+1 4.057345-6 1.995262+1 3.013710-6 2.722701+1 2.144316-6 3.801894+1 1.500000-6 5.495409+1 1.018578-6 9.015711+1 6.106370-7 1.757924+2 3.092416-7 3.507519+2 1.539260-7 1.396368+3 3.847283-8 1.000000+5 5.36330-10 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.741600-3 1.295200-4 1.000000+5 1.295200-4 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.741600-3 1.421400-8 1.000000+5 1.421400-8 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.741600-3 1.612066-3 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 5.546500-4 6.718600+4 5.800000-4 6.637808+4 6.000000-4 6.544400+4 6.382635-4 6.227138+4 6.606934-4 6.070668+4 7.500000-4 5.467520+4 8.035261-4 5.128700+4 9.549926-4 4.265707+4 1.035142-3 3.893149+4 1.148154-3 3.427491+4 1.303167-3 2.914933+4 1.428894-3 2.574128+4 1.659587-3 2.084528+4 1.862087-3 1.759488+4 2.150000-3 1.413654+4 2.511886-3 1.104888+4 2.884032-3 8.815042+3 3.349654-3 6.855217+3 3.935501-3 5.188372+3 4.677351-3 3.818928+3 5.559043-3 2.789320+3 6.606934-3 2.023137+3 8.000000-3 1.406648+3 9.660509-3 9.754685+2 1.161449-2 6.772615+2 1.396368-2 4.665825+2 1.664540-2 3.246180+2 2.000000-2 2.204340+2 2.371374-2 1.528195+2 2.818383-2 1.046415+2 3.349654-2 7.111840+1 4.000000-2 4.745050+1 4.731513-2 3.211681+1 5.559043-2 2.192927+1 6.683439-2 1.406817+1 8.035261-2 8.956160+0 9.772372-2 5.492723+0 1.230269-1 3.064778+0 1.566751-1 1.649027+0 2.454709-1 5.171698-1 3.054921-1 2.959044-1 3.630781-1 1.917064-1 4.168694-1 1.363347-1 4.786301-1 9.764881-2 5.432503-1 7.240737-2 6.165950-1 5.408769-2 6.998420-1 4.073303-2 7.852356-1 3.169788-2 8.810489-1 2.482111-2 9.772372-1 2.005845-2 1.122018+0 1.525075-2 1.273503+0 1.194463-2 1.445440+0 9.432096-3 1.621810+0 7.664444-3 1.840772+0 6.145804-3 2.089296+0 4.962321-3 2.371374+0 4.036259-3 2.722701+0 3.247966-3 3.162278+0 2.588020-3 3.672823+0 2.077911-3 4.265795+0 1.680532-3 5.011872+0 1.347078-3 5.956621+0 1.070996-3 7.079458+0 8.577622-4 8.709636+0 6.627472-4 1.122018+1 4.887839-4 1.412538+1 3.738209-4 1.819701+1 2.805716-4 2.426610+1 2.041958-4 3.311311+1 1.459959-4 5.000000+1 9.444400-5 8.413951+1 5.507667-5 1.640590+2 2.786929-5 3.273407+2 1.386617-5 1.303167+3 3.464220-6 1.000000+5 4.506500-8 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 5.546500-4 1.427500-4 1.000000+5 1.427500-4 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 5.546500-4 3.835900-8 1.000000+5 3.835900-8 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 5.546500-4 4.118616-4 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 4.614100-4 5.499251+4 5.370318-4 5.457741+4 6.100000-4 5.381180+4 6.531306-4 5.301601+4 7.079458-4 5.172579+4 7.585776-4 5.035776+4 8.200000-4 4.850080+4 8.709636-4 4.682065+4 9.332543-4 4.464529+4 1.023293-3 4.155645+4 1.109175-3 3.875245+4 1.202264-3 3.584310+4 1.318257-3 3.254337+4 1.428894-3 2.972773+4 1.570000-3 2.653300+4 1.737801-3 2.330602+4 1.905461-3 2.056882+4 2.137962-3 1.745208+4 2.371374-3 1.493364+4 2.660725-3 1.246440+4 2.985383-3 1.031449+4 3.311311-3 8.643405+3 3.715352-3 7.052125+3 4.168694-3 5.711705+3 4.677351-3 4.594723+3 5.300000-3 3.601000+3 6.025596-3 2.781800+3 6.839116-3 2.139850+3 7.800000-3 1.616932+3 8.810489-3 1.238417+3 1.000000-2 9.319120+2 1.135011-2 6.962501+2 1.290000-2 5.148220+2 1.479108-2 3.698071+2 1.698244-2 2.626670+2 1.949845-2 1.851114+2 2.238721-2 1.294616+2 2.570396-2 8.989227+1 2.985383-2 6.008370+1 3.467369-2 3.984624+1 4.073803-2 2.540404+1 4.841724-2 1.555734+1 5.754399-2 9.449764+0 7.079458-2 5.152168+0 9.120108-2 2.433698+0 1.659587-1 4.075724-1 2.089296-1 2.063979-1 2.483133-1 1.247041-1 2.884032-1 8.111495-2 3.311311-1 5.490386-2 3.758374-1 3.864444-2 4.265795-1 2.739471-2 4.786301-1 2.017483-2 5.370318-1 1.496448-2 6.000000-1 1.130531-2 6.683439-1 8.672302-3 7.413102-1 6.769774-3 8.609938-1 4.779034-3 9.332543-1 3.989569-3 1.000000+0 3.441407-3 1.096478+0 2.852570-3 1.202264+0 2.381287-3 1.318257+0 2.001840-3 1.479108+0 1.624384-3 1.717908+0 1.245437-3 1.949845+0 1.001500-3 2.213095+0 8.113095-4 2.511886+0 6.621054-4 2.884032+0 5.345099-4 3.349654+0 4.271553-4 3.890451+0 3.439494-4 4.570882+0 2.745275-4 5.432503+0 2.173622-4 6.456542+0 1.734180-4 7.762471+0 1.373516-4 9.332543+0 1.095452-4 1.174898+1 8.322161-5 1.479108+1 6.374371-5 1.905461+1 4.790773-5 2.600160+1 3.404473-5 3.589219+1 2.408342-5 5.308844+1 1.594784-5 8.810489+1 9.443180-6 1.737801+2 4.725591-6 3.467369+2 2.352032-6 1.380384+3 5.878330-7 1.000000+5 8.100700-9 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 4.614100-4 1.145400-4 1.000000+5 1.145400-4 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.614100-4 4.659900-8 1.000000+5 4.659900-8 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.614100-4 3.468234-4 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 3.973600-4 2.477883+5 4.623810-4 2.329620+5 5.308844-4 2.146888+5 5.754399-4 2.029449+5 6.309573-4 1.890833+5 6.918310-4 1.748428+5 7.500000-4 1.621128+5 8.200000-4 1.478104+5 9.120108-4 1.313832+5 9.885531-4 1.194232+5 1.096478-3 1.047628+5 1.216186-3 9.129379+4 1.355400-3 7.838137+4 1.513561-3 6.662972+4 1.698244-3 5.578336+4 1.905461-3 4.635343+4 2.150000-3 3.786552+4 2.400000-3 3.127512+4 2.691535-3 2.545211+4 3.054921-3 2.011196+4 3.467369-3 1.576288+4 3.890451-3 1.254465+4 4.365158-3 9.920604+3 4.954502-3 7.608015+3 5.623413-3 5.791642+3 6.382635-3 4.376805+3 7.244360-3 3.283834+3 8.222426-3 2.446595+3 9.332543-3 1.809695+3 1.059254-2 1.329055+3 1.202264-2 9.690774+2 1.364583-2 7.015056+2 1.548817-2 5.041707+2 1.757924-2 3.598549+2 2.018366-2 2.471842+2 2.317395-2 1.684675+2 2.660725-2 1.139581+2 3.054921-2 7.652825+1 3.548134-2 4.932367+1 4.120975-2 3.154911+1 4.841724-2 1.934429+1 5.688529-2 1.177086+1 6.839116-2 6.619349+0 8.413951-2 3.435639+0 1.122019-1 1.368301+0 1.659587-1 3.899813-1 2.041738-1 2.018999-1 2.398833-1 1.218574-1 2.754229-1 7.960734-2 3.126079-1 5.425697-2 3.507519-1 3.854475-2 3.935501-1 2.757947-2 4.365158-1 2.054583-2 4.841724-1 1.541271-2 5.370318-1 1.164899-2 5.956621-1 8.872922-3 6.531306-1 7.014112-3 7.244360-1 5.425384-3 8.317638-1 3.893055-3 9.015711-1 3.225365-3 9.660509-1 2.765124-3 1.023293+0 2.447711-3 1.109175+0 2.077666-3 1.216186+0 1.735588-3 1.333521+0 1.460962-3 1.531087+0 1.139523-3 1.757924+0 8.928500-4 2.000000+0 7.159400-4 2.264644+0 5.830753-4 2.570396+0 4.764434-4 2.951209+0 3.851064-4 3.427678+0 3.081121-4 4.000000+0 2.467100-4 4.677351+0 1.984570-4 5.559043+0 1.572931-4 6.606934+0 1.256193-4 8.000000+0 9.871200-5 9.549926+0 7.949378-5 1.188502+1 6.126017-5 1.500000+1 4.680500-5 1.949845+1 3.484117-5 2.660725+1 2.477459-5 3.672823+1 1.753508-5 5.370318+1 1.175734-5 8.912509+1 6.963083-6 1.737801+2 3.525873-6 3.467369+2 1.754891-6 1.380384+3 4.385843-7 1.000000+5 6.044000-9 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 3.973600-4 1.090200-4 1.000000+5 1.090200-4 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.973600-4 2.060000-8 1.000000+5 2.060000-8 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 3.973600-4 2.883194-4 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 2.424800-4 1.684823+5 2.511886-4 1.946291+5 2.520000-4 1.967092+5 2.553000-4 1.998932+5 2.570396-4 2.005842+5 2.590000-4 2.000076+5 2.608000-4 1.982484+5 2.630268-4 1.947677+5 2.660000-4 1.886588+5 2.700000-4 1.792156+5 2.851018-4 1.451637+5 2.890000-4 1.383064+5 2.930000-4 1.323872+5 2.970000-4 1.276480+5 3.000000-4 1.248396+5 3.040000-4 1.220524+5 3.080000-4 1.202732+5 3.115000-4 1.194660+5 3.150000-4 1.192904+5 3.190000-4 1.197796+5 3.240000-4 1.212944+5 3.300000-4 1.241908+5 3.350000-4 1.272980+5 3.430000-4 1.333180+5 3.550000-4 1.438704+5 3.780000-4 1.659648+5 3.930000-4 1.801172+5 4.053000-4 1.910712+5 4.168694-4 2.006370+5 4.280000-4 2.090072+5 4.430000-4 2.189408+5 4.570882-4 2.269471+5 4.731513-4 2.345773+5 4.897788-4 2.408296+5 5.080000-4 2.458828+5 5.300000-4 2.499292+5 5.500000-4 2.520120+5 5.754399-4 2.527678+5 6.000000-4 2.517092+5 6.237348-4 2.493044+5 6.531306-4 2.449583+5 6.850000-4 2.391108+5 7.244360-4 2.307384+5 7.673615-4 2.205949+5 8.128305-4 2.093248+5 8.609938-4 1.973515+5 9.200000-4 1.830924+5 9.772372-4 1.698225+5 1.047129-3 1.546983+5 1.122018-3 1.399928+5 1.202264-3 1.258190+5 1.303167-3 1.102257+5 1.412538-3 9.582140+4 1.531087-3 8.266053+4 1.659587-3 7.081718+4 1.800000-3 6.017880+4 1.972423-3 4.971012+4 2.150000-3 4.121400+4 2.371374-3 3.304016+4 2.600160-3 2.663354+4 2.851018-3 2.132411+4 3.162278-3 1.647408+4 3.507519-3 1.262253+4 3.890451-3 9.596441+3 4.265795-3 7.475050+3 4.677351-3 5.790712+3 5.188000-3 4.315871+3 5.800000-3 3.122168+3 6.456542-3 2.270392+3 7.161434-3 1.658125+3 8.035261-3 1.160927+3 9.015711-3 8.069072+2 1.011579-2 5.566806+2 1.135011-2 3.812951+2 1.273503-2 2.593686+2 1.445440-2 1.684725+2 1.640590-2 1.085966+2 1.862087-2 6.950129+1 2.137962-2 4.238944+1 2.454709-2 2.566496+1 2.851018-2 1.478976+1 3.349654-2 8.103236+0 3.981072-2 4.218755+0 4.841724-2 1.996439+0 6.237348-2 7.509520-1 1.071519-1 9.208607-2 1.318257-1 4.148041-2 1.566751-1 2.148634-2 1.819701-1 1.223126-2 2.089296-1 7.320153-3 2.371374-1 4.602646-3 2.691535-1 2.914839-3 3.019952-1 1.937629-3 3.388442-1 1.297365-3 3.758374-1 9.103778-4 4.168694-1 6.432440-4 4.623810-1 4.578873-4 5.069907-1 3.408001-4 5.559043-1 2.554021-4 6.095369-1 1.928080-4 6.683439-1 1.467334-4 7.328245-1 1.125098-4 8.709636-1 6.917522-5 9.225714-1 5.923987-5 9.660509-1 5.264808-5 1.011579+0 4.709805-5 1.059254+0 4.243762-5 1.109175+0 3.849530-5 1.174898+0 3.434485-5 1.258925+0 3.020915-5 1.364583+0 2.617951-5 1.513561+0 2.192777-5 1.840772+0 1.554749-5 2.065380+0 1.278283-5 2.344229+0 1.038923-5 2.660725+0 8.505568-6 3.090295+0 6.769824-6 3.589219+0 5.429125-6 4.168694+0 4.386179-6 4.897788+0 3.512219-6 5.821032+0 2.789456-6 6.918310+0 2.232011-6 8.413951+0 1.747551-6 1.035142+1 1.359804-6 1.273503+1 1.064867-6 1.621810+1 8.070919-7 2.113489+1 6.005136-7 2.884032+1 4.278947-7 4.120975+1 2.925046-7 5.888437+1 2.013119-7 9.440609+1 1.236937-7 1.840772+2 6.267556-8 3.672823+2 3.120571-8 1.462177+3 7.801477-9 4.623810+4 2.46293-10 1.000000+5 1.13890-10 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 2.424800-4 7.452500-5 1.000000+5 7.452500-5 1 73000 7 7 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.424800-4 3.042900-8 1.000000+5 3.042900-8 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.424800-4 1.679246-4 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 2.307200-4 2.655682+5 2.400000-4 2.868190+5 2.423000-4 2.898636+5 2.445000-4 2.907438+5 2.458000-4 2.900526+5 2.473300-4 2.880034+5 2.490000-4 2.844000+5 2.515000-4 2.770038+5 2.540973-4 2.678039+5 2.583500-4 2.516474+5 2.670000-4 2.210568+5 2.722701-4 2.058186+5 2.760000-4 1.969518+5 2.800000-4 1.893000+5 2.835000-4 1.841676+5 2.870000-4 1.804344+5 2.900000-4 1.782804+5 2.930000-4 1.770210+5 2.970000-4 1.766142+5 3.015000-4 1.777104+5 3.056900-4 1.800279+5 3.100000-4 1.835370+5 3.150000-4 1.888188+5 3.212100-4 1.968328+5 3.320000-4 2.132688+5 3.507519-4 2.450569+5 3.630781-4 2.660826+5 3.758374-4 2.869137+5 3.890451-4 3.070095+5 4.000000-4 3.222822+5 4.120975-4 3.374468+5 4.265795-4 3.531046+5 4.415704-4 3.666778+5 4.570882-4 3.781454+5 4.731513-4 3.873347+5 4.897788-4 3.941943+5 5.080000-4 3.991308+5 5.308844-4 4.022505+5 5.559043-4 4.024076+5 5.821032-4 3.994518+5 6.100000-4 3.934548+5 6.382635-4 3.852497+5 6.760830-4 3.722226+5 7.161434-4 3.568348+5 7.585776-4 3.393169+5 8.035261-4 3.204867+5 8.511380-4 3.008828+5 9.015711-4 2.807768+5 9.660509-4 2.565166+5 1.035142-3 2.327450+5 1.110000-3 2.094588+5 1.202264-3 1.841980+5 1.300000-3 1.612284+5 1.412538-3 1.387981+5 1.531087-3 1.191952+5 1.659587-3 1.016031+5 1.815000-3 8.448461+4 1.972423-3 7.064085+4 2.150000-3 5.831772+4 2.371374-3 4.650350+4 2.570396-3 3.836665+4 2.818383-3 3.060627+4 3.150000-3 2.308098+4 3.467369-3 1.795442+4 3.801894-3 1.402475+4 4.216965-3 1.054746+4 4.677351-3 7.874771+3 5.248075-3 5.643915+3 5.888437-3 4.011719+3 6.531306-3 2.930048+3 7.244360-3 2.126667+3 8.128305-3 1.477964+3 9.120108-3 1.019702+3 1.023293-2 6.982397+2 1.148154-2 4.745709+2 1.288250-2 3.202545+2 1.445440-2 2.146425+2 1.640590-2 1.371700+2 1.862087-2 8.700560+1 2.137962-2 5.252890+1 2.454709-2 3.146870+1 2.818383-2 1.871628+1 3.273407-2 1.057935+1 3.845918-2 5.678318+0 4.570882-2 2.892435+0 5.623413-2 1.276658+0 1.083927-1 9.372062-2 1.333521-1 4.129109-2 1.531088-1 2.406384-2 1.757924-1 1.413365-2 2.000000-1 8.664782-3 2.238721-1 5.686365-3 2.483133-1 3.885981-3 2.754229-1 2.673777-3 3.054921-1 1.853629-3 3.349654-1 1.347755-3 3.672823-1 9.867539-4 4.027170-1 7.278310-4 4.415705-1 5.412610-4 4.841724-1 4.056497-4 5.308844-1 3.063368-4 5.754399-1 2.411868-4 6.237348-1 1.912046-4 6.760830-1 1.526686-4 7.328245-1 1.227245-4 8.413951-1 8.539842-5 8.912509-1 7.376553-5 9.440609-1 6.412710-5 9.885531-1 5.764981-5 1.047129+0 5.084694-5 1.109175+0 4.512955-5 1.188502+0 3.938438-5 1.288250+0 3.386484-5 1.412538+0 2.871661-5 1.819701+0 1.840276-5 2.044000+0 1.510000-5 2.317395+0 1.228853-5 2.630268+0 1.005365-5 3.019952+0 8.135849-6 3.507519+0 6.516784-6 4.073803+0 5.259092-6 4.786301+0 4.206715-6 5.688529+0 3.337626-6 6.760830+0 2.668102-6 8.222427+0 2.087125-6 9.772372+0 1.691452-6 1.202264+1 1.322078-6 1.531087+1 1.000149-6 2.000000+1 7.409500-7 2.722701+1 5.285852-7 3.801894+1 3.697671-7 5.559043+1 2.480988-7 9.015711+1 1.505260-7 1.757924+2 7.623058-8 3.507519+2 3.794478-8 1.396368+3 9.483753-9 1.000000+5 1.32210-10 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 2.307200-4 7.334300-5 1.000000+5 7.334300-5 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 2.307200-4 1.573770-4 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 3.614000-5 3.717504+5 3.660000-5 3.813408+5 3.710000-5 3.891882+5 3.780000-5 3.964140+5 3.863700-5 4.012066+5 3.950000-5 4.034322+5 4.073803-5 4.033691+5 4.273000-5 3.997597+5 4.623810-5 3.916024+5 4.800000-5 3.899232+5 4.954502-5 3.909720+5 5.080000-5 3.939546+5 5.218000-5 3.997368+5 5.350000-5 4.079514+5 5.450000-5 4.160364+5 5.595400-5 4.306931+5 5.730000-5 4.473504+5 5.888437-5 4.707846+5 6.070000-5 5.024274+5 6.237348-5 5.357556+5 6.500000-5 5.951916+5 7.400000-5 8.421900+5 7.852356-5 9.804236+5 8.317638-5 1.127736+6 8.810489-5 1.288661+6 9.300000-5 1.450698+6 9.800000-5 1.615038+6 1.023293-4 1.754178+6 1.071519-4 1.902562+6 1.109175-4 2.010858+6 1.150000-4 2.119326+6 1.190000-4 2.216046+6 1.244515-4 2.332767+6 1.303167-4 2.441000+6 1.364583-4 2.537477+6 1.430000-4 2.623188+6 1.513561-4 2.710244+6 1.603245-4 2.779102+6 1.690000-4 2.821884+6 1.778279-4 2.841796+6 1.862087-4 2.842066+6 1.972423-4 2.821238+6 2.089296-4 2.779056+6 2.220000-4 2.715408+6 2.350000-4 2.640192+6 2.483133-4 2.551845+6 2.630268-4 2.444474+6 2.786121-4 2.324799+6 2.951209-4 2.195531+6 3.150000-4 2.043084+6 3.350000-4 1.894902+6 3.550000-4 1.752690+6 3.758374-4 1.612943+6 4.000000-4 1.462014+6 4.280000-4 1.305000+6 4.570882-4 1.159250+6 4.850000-4 1.035504+6 5.188000-4 9.037623+5 5.559043-4 7.808879+5 6.025596-4 6.525694+5 6.456542-4 5.550712+5 6.918310-4 4.694116+5 7.500000-4 3.829674+5 8.128305-4 3.100868+5 8.709636-4 2.572269+5 9.332543-4 2.123810+5 1.023293-3 1.631832+5 1.122018-3 1.243588+5 1.230269-3 9.405349+4 1.355400-3 6.955766+4 1.496236-3 5.071806+4 1.640590-3 3.753975+4 1.819701-3 2.655790+4 2.018366-3 1.864453+4 2.238721-3 1.299517+4 2.483133-3 8.993090+3 2.754229-3 6.180509+3 3.054921-3 4.219054+3 3.427678-3 2.739396+3 3.845918-3 1.765072+3 4.315191-3 1.129067+3 4.841724-3 7.171296+2 5.432503-3 4.523047+2 6.165950-3 2.703295+2 6.998420-3 1.603090+2 7.943282-3 9.428810+1 9.000000-3 5.543268+1 1.011579-2 3.347652+1 1.148154-2 1.923499+1 1.303167-2 1.097313+1 1.500000-2 5.839050+0 1.678804-2 3.504376+0 1.972423-2 1.672872+0 2.398833-2 6.773573-1 2.917427-2 2.722171-1 3.427678-2 1.274555-1 4.415704-2 3.832698-2 6.998420-2 4.284691-3 8.609938-2 1.608303-3 1.023293-1 7.155025-4 1.188502-1 3.569041-4 1.364583-1 1.891322-4 1.548817-1 1.064195-4 1.757924-1 6.034497-5 1.972423-1 3.629348-5 2.213095-1 2.199268-5 2.454709-1 1.411071-5 2.722701-1 9.119385-6 3.019952-1 5.939489-6 3.311311-1 4.084783-6 3.630781-1 2.827696-6 4.000000-1 1.934700-6 4.365158-1 1.381816-6 4.731513-1 1.019432-6 5.128614-1 7.571880-7 5.559043-1 5.665671-7 6.000000-1 4.335500-7 6.456542-1 3.384256-7 6.998420-1 2.596552-7 8.035261-1 1.669232-7 8.511380-1 1.376143-7 8.912509-1 1.185796-7 9.225714-1 1.065454-7 9.549926-1 9.620886-8 9.885531-1 8.738468-8 1.023293+0 7.990525-8 1.059254+0 7.353167-8 1.096478+0 6.804812-8 1.135011+0 6.328730-8 1.188502+0 5.783424-8 1.258925+0 5.210155-8 1.348963+0 4.629711-8 1.500000+0 3.901200-8 1.905461+0 2.565628-8 2.113489+0 2.154559-8 2.398833+0 1.753736-8 2.754229+0 1.412111-8 3.198895+0 1.125816-8 3.715352+0 9.044366-9 4.315191+0 7.318733-9 5.069907+0 5.869573-9 6.025596+0 4.668717-9 7.244360+0 3.687184-9 8.912509+0 2.851541-9 1.148154+1 2.105083-9 1.445440+1 1.611185-9 1.862087+1 1.210080-9 2.511886+1 8.70224-10 3.467369+1 6.15097-10 5.128614+1 4.07011-10 8.609938+1 2.38035-10 1.678804+2 1.20484-10 3.349654+2 5.99561-11 1.333521+3 1.49811-11 1.000000+5 1.99430-13 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 3.614000-5 3.614000-5 1.000000+5 3.614000-5 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 3.614000-5 0.0 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 3.404000-5 5.612272+5 3.440000-5 5.687616+5 3.495000-5 5.765544+5 3.550000-5 5.807712+5 3.630781-5 5.828528+5 3.740000-5 5.809472+5 3.920000-5 5.724528+5 4.300000-5 5.526552+5 4.466836-5 5.475995+5 4.623810-5 5.463963+5 4.731513-5 5.479799+5 4.850000-5 5.522824+5 4.954502-5 5.584947+5 5.080000-5 5.691448+5 5.190000-5 5.814712+5 5.308844-5 5.980121+5 5.450000-5 6.220528+5 5.580000-5 6.483552+5 5.754399-5 6.896877+5 5.950000-5 7.436952+5 6.165950-5 8.115938+5 7.079458-5 1.162197+6 7.500000-5 1.341816+6 7.943282-5 1.536883+6 8.413951-5 1.748513+6 8.912509-5 1.975952+6 9.332543-5 2.167421+6 9.800000-5 2.376112+6 1.023293-4 2.561678+6 1.060000-4 2.710920+6 1.109175-4 2.894540+6 1.150000-4 3.032504+6 1.202264-4 3.189267+6 1.260000-4 3.336912+6 1.318257-4 3.461685+6 1.396368-4 3.598542+6 1.480000-4 3.712488+6 1.566751-4 3.796501+6 1.650000-4 3.846768+6 1.737801-4 3.870670+6 1.820000-4 3.867760+6 1.927525-4 3.833568+6 2.041738-4 3.772292+6 2.162719-4 3.687935+6 2.302600-4 3.571123+6 2.450000-4 3.433296+6 2.580000-4 3.300352+6 2.730000-4 3.139008+6 2.900000-4 2.955496+6 3.090295-4 2.752554+6 3.280000-4 2.559240+6 3.467369-4 2.375683+6 3.715352-4 2.147353+6 3.935501-4 1.960522+6 4.216965-4 1.744518+6 4.466836-4 1.573437+6 4.786301-4 1.379313+6 5.069907-4 1.228320+6 5.500000-4 1.033912+6 5.900000-4 8.838800+5 6.237348-4 7.771208+5 6.839116-4 6.217556+5 7.413102-4 5.070606+5 7.943282-4 4.230661+5 8.609938-4 3.402675+5 9.332543-4 2.717981+5 1.035142-3 2.015967+5 1.122018-3 1.587054+5 1.230269-3 1.198349+5 1.348963-3 8.980172+4 1.479108-3 6.682033+4 1.640590-3 4.756348+4 1.819701-3 3.358647+4 2.018366-3 2.353391+4 2.264644-3 1.572250+4 2.511886-3 1.085717+4 2.786121-3 7.444699+3 3.090295-3 5.067184+3 3.427678-3 3.425546+3 3.845918-3 2.200787+3 4.315191-3 1.403985+3 4.841724-3 8.894605+2 5.477200-3 5.412772+2 6.165950-3 3.335174+2 6.918310-3 2.068735+2 7.762471-3 1.274459+2 8.709636-3 7.795085+1 9.885531-3 4.503769+1 1.122018-2 2.582268+1 1.273503-2 1.469712+1 1.462177-2 7.884881+0 1.678804-2 4.197463+0 1.949845-2 2.102498+0 2.290868-2 9.904454-1 2.722701-2 4.386532-1 3.273407-2 1.826433-1 4.216965-2 5.427170-2 7.673615-2 3.048136-3 9.225714-2 1.264733-3 1.083927-1 5.898121-4 1.258925-1 2.925662-4 1.428894-1 1.628010-4 1.611800-1 9.392197-5 1.798871-1 5.729505-5 1.995262-1 3.619505-5 2.213400-1 2.302600-5 2.426610-1 1.552948-5 2.660725-1 1.054048-5 2.917427-1 7.207296-6 3.198895-1 4.965700-6 3.467369-1 3.609155-6 3.758374-1 2.641915-6 4.073803-1 1.948804-6 4.415705-1 1.448645-6 4.786301-1 1.085108-6 5.128614-1 8.526033-7 5.495409-1 6.743626-7 5.821032-1 5.581102-7 6.237348-1 4.477719-7 6.760830-1 3.490130-7 7.413102-1 2.645484-7 8.035261-1 2.090098-7 8.709636-1 1.662590-7 9.660509-1 1.249221-7 1.000000+0 1.141100-7 1.035142+0 1.048854-7 1.071519+0 9.690153-8 1.122018+0 8.781023-8 1.174898+0 8.012232-8 1.244515+0 7.200915-8 1.333521+0 6.379819-8 1.513561+0 5.170778-8 1.883649+0 3.523453-8 2.089296+0 2.956709-8 2.371374+0 2.404901-8 2.722701+0 1.935232-8 3.162278+0 1.542056-8 3.672823+0 1.238148-8 4.265795+0 1.001375-8 5.011872+0 8.026638-9 5.956621+0 6.381263-9 7.079458+0 5.110933-9 8.709636+0 3.948934-9 1.122018+1 2.912448-9 1.412538+1 2.227372-9 1.819701+1 1.671812-9 2.454709+1 1.201477-9 3.349654+1 8.59261-10 5.011872+1 5.61347-10 8.413951+1 3.28174-10 1.640590+2 1.66055-10 3.273407+2 8.26220-11 1.303167+3 2.06416-11 1.000000+5 2.68520-13 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 3.404000-5 3.404000-5 1.000000+5 3.404000-5 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 3.404000-5 0.0 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 7.881000-5 6.403520+4 8.000000-5 6.157720+4 8.110000-5 5.984740+4 8.230000-5 5.845400+4 8.350000-5 5.748080+4 8.511380-5 5.668676+4 8.650000-5 5.635040+4 8.810489-5 5.628249+4 9.015711-5 5.658646+4 9.230000-5 5.723620+4 9.549926-5 5.860283+4 1.083927-4 6.528706+4 1.135011-4 6.748641+4 1.174898-4 6.885028+4 1.230269-4 7.022056+4 1.288250-4 7.107611+4 1.350000-4 7.145080+4 1.430000-4 7.133420+4 1.513561-4 7.073962+4 1.626300-4 6.947975+4 1.737801-4 6.787703+4 1.850000-4 6.597260+4 1.980000-4 6.348360+4 2.113489-4 6.074447+4 2.290868-4 5.705953+4 2.511886-4 5.270813+4 2.754229-4 4.837296+4 3.019952-4 4.407268+4 3.350000-4 3.934580+4 3.801894-4 3.398182+4 4.265795-4 2.954531+4 4.897788-4 2.476318+4 5.688529-4 2.030778+4 6.760830-4 1.600799+4 7.943282-4 1.273039+4 9.500000-4 9.801480+3 1.161449-3 7.245231+3 1.412538-3 5.351558+3 1.698244-3 3.993125+3 2.041738-3 2.956366+3 2.426610-3 2.214471+3 2.917427-3 1.615055+3 3.507519-3 1.168839+3 4.168694-3 8.572373+2 5.069907-3 5.984279+2 6.165950-3 4.146554+2 7.498942-3 2.851307+2 9.120108-3 1.945831+2 1.122018-2 1.288098+2 1.348963-2 8.862612+1 1.621810-2 6.053117+1 1.949845-2 4.102910+1 2.317395-2 2.828134+1 2.818383-2 1.840548+1 3.467369-2 1.159592+1 4.073803-2 8.041300+0 4.786301-2 5.526404+0 5.688529-2 3.667761+0 6.806000-2 2.376889+0 8.222426-2 1.492919+0 1.000000-1 9.155811-1 1.244515-1 5.252206-1 1.717908-1 2.293279-1 2.600160-1 7.876695-2 3.162278-1 4.785541-2 3.715352-1 3.195418-2 4.265795-1 2.275072-2 4.897788-1 1.631553-2 5.559043-1 1.211357-2 6.237348-1 9.301183-3 7.079458-1 7.009748-3 8.000000-1 5.376100-3 8.912509-1 4.276990-3 9.885531-1 3.459341-3 1.148154+0 2.573778-3 1.288250+0 2.062985-3 1.462177+0 1.630211-3 1.640590+0 1.325590-3 1.862087+0 1.063609-3 2.113489+0 8.593555-4 2.398833+0 6.994634-4 2.754229+0 5.632225-4 3.198895+0 4.490475-4 3.715352+0 3.607508-4 4.315191+0 2.919231-4 5.069907+0 2.341216-4 6.025596+0 1.862236-4 7.244360+0 1.470731-4 8.912509+0 1.137362-4 1.148154+1 8.396418-5 1.445440+1 6.426492-5 1.862087+1 4.826641-5 2.511886+1 3.471021-5 3.467369+1 2.453438-5 5.128614+1 1.623468-5 8.609938+1 9.494523-6 1.678804+2 4.805733-6 3.349654+2 2.391442-6 1.333521+3 5.975410-7 1.000000+5 7.954600-9 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 7.881000-5 7.881000-5 1.000000+5 7.881000-5 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 7.881000-5 0.0 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 5.115000-5 2.780520+6 5.170000-5 2.790200+6 5.220000-5 2.781560+6 5.290000-5 2.748240+6 5.370318-5 2.689655+6 5.450000-5 2.619260+6 5.559043-5 2.510053+6 5.700000-5 2.360780+6 5.850000-5 2.198760+6 6.025596-5 2.012646+6 6.237348-5 1.800801+6 6.480700-5 1.579071+6 6.760830-5 1.355080+6 7.161434-5 1.090949+6 8.500000-5 5.633600+5 9.225714-5 4.136514+5 1.000000-4 3.075840+5 1.071519-4 2.401453+5 1.135011-4 1.964932+5 1.202264-4 1.617765+5 1.260000-4 1.388294+5 1.318257-4 1.204500+5 1.380384-4 1.048624+5 1.450000-4 9.109300+4 1.520000-4 8.018060+4 1.584893-4 7.203670+4 1.659587-4 6.445367+4 1.737801-4 5.808651+4 1.820000-4 5.271920+4 1.905461-4 4.823789+4 2.000000-4 4.426680+4 2.089296-4 4.123101+4 2.190000-4 3.842860+4 2.317395-4 3.557400+4 2.454709-4 3.311122+4 2.630268-4 3.059589+4 2.851018-4 2.811469+4 3.162278-4 2.543916+4 4.623810-4 1.804690+4 5.432503-4 1.549655+4 6.200000-4 1.358136+4 7.079458-4 1.181849+4 8.035261-4 1.027567+4 9.120108-4 8.874440+3 1.035142-3 7.608023+3 1.161449-3 6.574670+3 1.318257-3 5.559702+3 1.500000-3 4.649940+3 1.698244-3 3.886080+3 1.927525-3 3.213026+3 2.162719-3 2.684711+3 2.454709-3 2.186992+3 2.754229-3 1.802645+3 3.126079-3 1.446584+3 3.548134-3 1.152076+3 4.027170-3 9.107651+2 4.570882-3 7.148049+2 5.188000-3 5.569941+2 5.888437-3 4.309572+2 6.683439-3 3.311294+2 7.585776-3 2.526582+2 8.609938-3 1.914406+2 9.772372-3 1.440536+2 1.109175-2 1.076585+2 1.273503-2 7.775820+1 1.462177-2 5.571582+1 1.659587-2 4.074377+1 1.905461-2 2.875213+1 2.264644-2 1.845425+1 2.630268-2 1.247377+1 3.019952-2 8.627691+0 3.467369-2 5.912019+0 4.027170-2 3.895798+0 4.731513-2 2.466867+0 5.688529-2 1.451245+0 6.998420-2 7.921596-1 9.015711-2 3.745914-1 1.717908-1 5.473851-2 2.137962-1 2.870553-2 2.540973-1 1.736043-2 2.951209-1 1.130608-2 3.388442-1 7.662645-3 3.845918-1 5.400667-3 4.365158-1 3.834404-3 4.897788-1 2.828110-3 5.495409-1 2.100900-3 6.095369-1 1.618531-3 6.760830-1 1.255637-3 7.498942-1 9.808351-4 8.609938-1 7.114466-4 9.332543-1 5.939696-4 1.000000+0 5.123900-4 1.096478+0 4.247315-4 1.202264+0 3.545508-4 1.318257+0 2.980423-4 1.479108+0 2.418310-4 1.717908+0 1.853802-4 1.949845+0 1.490685-4 2.213095+0 1.207778-4 2.511886+0 9.856538-5 2.884032+0 7.956135-5 3.349654+0 6.357885-5 3.890451+0 5.119405-5 4.570882+0 4.086104-5 5.432503+0 3.235247-5 6.456542+0 2.581154-5 7.762471+0 2.044384-5 9.332543+0 1.630452-5 1.174898+1 1.238721-5 1.479108+1 9.487880-6 1.905461+1 7.130769-6 2.600160+1 5.067362-6 3.589219+1 3.584623-6 5.308844+1 2.373718-6 8.810489+1 1.405534-6 1.717908+2 7.116240-7 3.427678+2 3.541748-7 1.364583+3 8.850826-8 1.000000+5 1.205700-9 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 5.115000-5 5.115000-5 1.000000+5 5.115000-5 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 5.115000-5 0.0 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 4.189000-5 6.245520+6 4.240000-5 6.146440+6 4.290000-5 6.022480+6 4.380000-5 5.756440+6 4.466836-5 5.477238+6 4.570882-5 5.138180+6 4.731513-5 4.631056+6 4.900000-5 4.139160+6 5.080000-5 3.665368+6 5.308844-5 3.139438+6 5.623413-5 2.543431+6 6.760830-5 1.268601+6 7.161434-5 1.026334+6 7.585776-5 8.359584+5 8.000000-5 6.966680+5 8.413951-5 5.903230+5 8.810489-5 5.109858+5 9.225714-5 4.454842+5 9.660509-5 3.913806+5 1.000000-4 3.570768+5 1.040000-4 3.236488+5 1.083927-4 2.938111+5 1.122018-4 2.725083+5 1.170000-4 2.503608+5 1.220000-4 2.315616+5 1.280000-4 2.132980+5 1.350000-4 1.963160+5 1.430000-4 1.809056+5 1.513561-4 1.680075+5 1.621810-4 1.546712+5 1.760000-4 1.413932+5 1.949845-4 1.274893+5 2.722701-4 9.252193+4 3.162278-4 7.959849+4 3.672823-4 6.795825+4 4.200000-4 5.856360+4 4.786301-4 5.030509+4 5.500000-4 4.250320+4 6.237348-4 3.625135+4 7.161434-4 3.024683+4 8.222426-4 2.505157+4 9.500000-4 2.042220+4 1.096478-3 1.654053+4 1.258925-3 1.339923+4 1.445440-3 1.077280+4 1.659587-3 8.594286+3 1.883649-3 6.938217+3 2.137962-3 5.562604+3 2.426610-3 4.428463+3 2.754229-3 3.501058+3 3.126079-3 2.748560+3 3.548134-3 2.142727+3 4.027170-3 1.658841+3 4.570882-3 1.275353+3 5.188000-3 9.737096+2 5.888437-3 7.382545+2 6.683439-3 5.559073+2 7.585776-3 4.157367+2 8.609938-3 3.087578+2 9.772372-3 2.277372+2 1.109175-2 1.668088+2 1.258925-2 1.213246+2 1.428894-2 8.762875+1 1.640590-2 6.096535+1 1.862087-2 4.341723+1 2.113489-2 3.070542+1 2.426610-2 2.087836+1 2.786121-2 1.409064+1 3.235937-2 9.131675+0 3.758374-2 5.872839+0 4.315191-2 3.881078+0 5.069907-2 2.375492+0 6.025596-2 1.392996+0 7.161434-2 8.110059-1 9.015711-2 3.905249-1 1.737801-1 4.783515-2 2.113489-1 2.574826-2 2.483133-1 1.557275-2 2.851018-1 1.019320-2 3.235937-1 6.961943-3 3.630781-1 4.956911-3 4.073803-1 3.555602-3 4.518559-1 2.655235-3 5.011872-1 1.996904-3 5.559043-1 1.513210-3 6.095369-1 1.190372-3 6.683439-1 9.425900-4 7.413102-1 7.304847-4 8.609938-1 5.110659-4 9.225714-1 4.361334-4 9.772372-1 3.842641-4 1.047129+0 3.325523-4 1.135011+0 2.827840-4 1.244515+0 2.366707-4 1.380384+0 1.954395-4 1.678804+0 1.378753-4 1.927525+0 1.085647-4 2.187762+0 8.786096-5 2.483133+0 7.165239-5 2.851018+0 5.781322-5 3.311311+0 4.617718-5 3.845918+0 3.716125-5 4.518559+0 2.964368-5 5.370318+0 2.345836-5 6.382635+0 1.870671-5 7.673615+0 1.481001-5 9.225714+0 1.180546-5 1.161449+1 8.965624-6 1.462177+1 6.864676-6 1.883649+1 5.157553-6 2.540973+1 3.710141-6 3.507519+1 2.623129-6 5.188000+1 1.736181-6 8.609938+1 1.027630-6 1.698244+2 5.141118-7 3.388442+2 2.558504-7 1.348963+3 6.393376-8 1.000000+5 8.60970-10 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 4.189000-5 4.189000-5 1.000000+5 4.189000-5 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 4.189000-5 0.0 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 7.010000-6 2.629993+6 7.244360-6 2.838927+6 7.500000-6 3.058572+6 7.762471-6 3.277443+6 8.128305-6 3.570509+6 8.511380-6 3.860798+6 8.912509-6 4.151157+6 9.332543-6 4.436704+6 9.885531-6 4.788906+6 1.050000-5 5.152920+6 1.122018-5 5.541367+6 1.188502-5 5.865015+6 1.273503-5 6.231094+6 1.350000-5 6.515016+6 1.428894-5 6.760207+6 1.500000-5 6.936684+6 1.584893-5 7.091732+6 1.659587-5 7.175382+6 1.737801-5 7.207315+6 1.819701-5 7.182736+6 1.900000-5 7.106844+6 1.980000-5 6.984816+6 2.070000-5 6.796680+6 2.150000-5 6.593316+6 2.238721-5 6.336283+6 2.330000-5 6.048312+6 2.426610-5 5.728856+6 2.511886-5 5.441599+6 2.610000-5 5.111628+6 2.730000-5 4.717668+6 2.851018-5 4.339767+6 3.000000-5 3.908772+6 3.162278-5 3.484849+6 3.350000-5 3.052884+6 3.589219-5 2.587017+6 3.845918-5 2.175887+6 4.150000-5 1.783788+6 4.415704-5 1.507469+6 4.677351-5 1.282022+6 4.954502-5 1.083878+6 5.248075-5 9.104051+5 5.559043-5 7.592600+5 5.900000-5 6.246984+5 6.237348-5 5.169367+5 6.650000-5 4.123284+5 7.079458-5 3.280571+5 7.585776-5 2.527446+5 8.039000-5 2.017437+5 8.609938-5 1.533855+5 9.120108-5 1.211156+5 9.660509-5 9.502459+4 1.023293-4 7.406924+4 1.083927-4 5.732521+4 1.150000-4 4.375368+4 1.244515-4 3.024140+4 1.364583-4 1.959923+4 1.430000-4 1.580676+4 1.480000-4 1.357572+4 1.531087-4 1.176730+4 1.566751-4 1.073478+4 1.603245-4 9.842793+3 1.640590-4 9.078700+3 1.678804-4 8.429637+3 1.717908-4 7.883187+3 1.757924-4 7.428572+3 1.780000-4 7.217220+3 1.820000-4 6.896340+3 1.862087-4 6.633069+3 1.905461-4 6.427898+3 1.950000-4 6.275028+3 2.000000-4 6.160872+3 2.050000-4 6.095304+3 2.113489-4 6.064374+3 2.187762-4 6.069998+3 2.264644-4 6.109644+3 2.371374-4 6.207915+3 2.483133-4 6.349182+3 2.660725-4 6.620175+3 3.000000-4 7.157040+3 3.235937-4 7.306289+3 3.467369-4 7.392235+3 3.630781-4 7.414923+3 3.845918-4 7.387799+3 4.073803-4 7.310307+3 4.315191-4 7.185625+3 4.570882-4 7.018679+3 4.841724-4 6.814611+3 5.188000-4 6.528504+3 5.559043-4 6.206633+3 5.956621-4 5.858612+3 6.382635-4 5.494804+3 6.839116-4 5.120790+3 7.328245-4 4.742638+3 7.943282-4 4.303968+3 8.609938-4 3.875643+3 9.332543-4 3.464268+3 1.011579-3 3.074842+3 1.096478-3 2.711088+3 1.188502-3 2.374659+3 1.288250-3 2.066406+3 1.396368-3 1.786786+3 1.531087-3 1.502054+3 1.678804-3 1.253200+3 1.840772-3 1.037816+3 2.018366-3 8.532147+2 2.213095-3 6.963679+2 2.426610-3 5.645515+2 2.691535-3 4.424635+2 3.000000-3 3.404887+2 3.311311-3 2.663593+2 3.672823-3 2.042945+2 4.027170-3 1.602893+2 4.466836-3 1.210006+2 4.954502-3 9.067694+1 5.495409-3 6.749808+1 6.095369-3 4.991080+1 6.839116-3 3.541804+1 7.673615-3 2.493774+1 8.609938-3 1.742670+1 9.660509-3 1.208814+1 1.083927-2 8.323913+0 1.216186-2 5.690201+0 1.364583-2 3.862367+0 1.548817-2 2.503234+0 1.757924-2 1.610491+0 2.000000-2 1.020263+0 2.290868-2 6.263679-1 2.630268-2 3.785632-1 3.054921-2 2.177630-1 3.589219-2 1.190896-1 4.315191-2 5.925510-2 5.248075-2 2.800481-2 6.998420-2 9.206873-3 1.083927-1 1.690851-3 1.333521-1 7.622883-4 1.584893-1 3.951635-4 1.840772-1 2.251270-4 2.113489-1 1.348305-4 2.398833-1 8.483045-5 2.722701-1 5.376108-5 3.054921-1 3.576510-5 3.427678-1 2.397096-5 3.801894-1 1.683675-5 4.216965-1 1.190850-5 4.677351-1 8.485357-6 5.188000-1 6.092774-6 5.688529-1 4.570334-6 6.165950-1 3.577151-6 6.760830-1 2.726588-6 7.413102-1 2.094283-6 8.035261-1 1.671347-6 8.609938-1 1.373774-6 9.120108-1 1.174319-6 9.549926-1 1.041806-6 1.000000+0 9.300700-7 1.047129+0 8.363630-7 1.096478+0 7.573711-7 1.148154+0 6.899321-7 1.216186+0 6.181941-7 1.318257+0 5.343095-7 1.531087+0 4.128874-7 1.840772+0 2.987464-7 2.065380+0 2.456566-7 2.344229+0 1.996794-7 2.660725+0 1.634701-7 3.090295+0 1.300979-7 3.589219+0 1.043308-7 4.168694+0 8.428725-8 4.897788+0 6.749255-8 5.821032+0 5.360323-8 6.918310+0 4.289136-8 8.413951+0 3.358140-8 1.035142+1 2.613074-8 1.273503+1 2.046356-8 1.621810+1 1.550945-8 2.113489+1 1.153977-8 2.884032+1 8.222662-9 4.073803+1 5.689774-9 5.821032+1 3.915195-9 9.225714+1 2.433701-9 1.819701+2 1.218530-9 3.630781+2 6.06659-10 1.445440+3 1.51654-10 1.000000+5 2.18860-12 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 7.010000-6 7.010000-6 1.000000+5 7.010000-6 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 7.010000-6 0.0 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 6.300000-6 5.018130+6 6.600000-6 5.482638+6 6.850000-6 5.847822+6 7.161434-6 6.274106+6 7.500000-6 6.704856+6 7.852356-6 7.119048+6 8.317638-6 7.620489+6 8.810489-6 8.102078+6 9.440609-6 8.650811+6 1.011579-5 9.169239+6 1.083927-5 9.655305+6 1.161449-5 1.010176+7 1.244515-5 1.049803+7 1.333521-5 1.082896+7 1.420000-5 1.105479+7 1.500000-5 1.117807+7 1.584893-5 1.122082+7 1.659587-5 1.118261+7 1.737801-5 1.106724+7 1.819701-5 1.087400+7 1.900000-5 1.061638+7 1.980000-5 1.030453+7 2.070000-5 9.902466+6 2.150000-5 9.510426+6 2.238721-5 9.048956+6 2.330000-5 8.558028+6 2.426610-5 8.035262+6 2.540973-5 7.428261+6 2.660725-5 6.818763+6 2.800000-5 6.154740+6 2.951209-5 5.498479+6 3.126079-5 4.826908+6 3.311311-5 4.210128+6 3.548134-5 3.547339+6 3.801894-5 2.969082+6 4.073803-5 2.467580+6 4.365158-5 2.036900+6 4.650000-5 1.697044+6 4.954502-5 1.402646+6 5.248075-5 1.171990+6 5.559043-5 9.719822+5 5.900000-5 7.952832+5 6.237348-5 6.544825+5 6.650000-5 5.187978+5 7.000000-5 4.281300+5 7.500000-5 3.280158+5 7.943282-5 2.611019+5 8.511380-5 1.968683+5 9.015711-5 1.545696+5 9.660509-5 1.146760+5 1.023293-4 8.876883+4 1.096478-4 6.477262+4 1.303167-4 2.886372+4 1.364583-4 2.341591+4 1.415000-4 1.998828+4 1.450000-4 1.805508+4 1.490000-4 1.621804+4 1.531087-4 1.467454+4 1.566751-4 1.357110+4 1.603245-4 1.263632+4 1.640590-4 1.185404+4 1.678804-4 1.120676+4 1.717908-4 1.067838+4 1.750000-4 1.033153+4 1.790000-4 9.993492+3 1.830000-4 9.743310+3 1.870000-4 9.564282+3 1.905461-4 9.455042+3 1.949845-4 9.373513+3 2.018366-4 9.333495+3 2.089296-4 9.334481+3 2.162719-4 9.386012+3 2.264644-4 9.522549+3 2.371374-4 9.723929+3 2.540973-4 1.011730+4 2.917427-4 1.103749+4 3.000000-4 1.121022+4 3.198895-4 1.133186+4 3.427678-4 1.138191+4 3.630781-4 1.135338+4 3.845918-4 1.125676+4 4.053000-4 1.110158+4 4.315191-4 1.082343+4 4.570882-4 1.050775+4 4.897788-4 1.006520+4 5.248075-4 9.568184+3 5.623413-4 9.030613+3 6.025596-4 8.465928+3 6.456542-4 7.887803+3 6.998420-4 7.207285+3 7.585776-4 6.533599+3 8.222426-4 5.877638+3 8.912509-4 5.248736+3 9.660509-4 4.654498+3 1.047129-3 4.100245+3 1.135011-3 3.589092+3 1.230269-3 3.121965+3 1.348963-3 2.642141+3 1.479108-3 2.217939+3 1.621810-3 1.847830+3 1.819701-3 1.456868+3 1.972423-3 1.242404+3 2.113489-3 1.076987+3 2.238721-3 9.496674+2 2.344229-3 8.539131+2 2.454709-3 7.632601+2 2.570396-3 6.775968+2 2.630500-3 6.364839+2 2.722701-3 5.718621+2 2.786121-3 5.351811+2 2.851018-3 5.036495+2 2.951209-3 4.666675+2 3.019952-3 4.443451+2 3.162278-3 3.987927+2 3.311311-3 3.557881+2 3.589219-3 2.885520+2 3.845918-3 2.396431+2 4.168694-3 1.915714+2 4.623810-3 1.424337+2 5.623413-3 8.053038+1 6.237348-3 5.914634+1 6.918310-3 4.314487+1 7.762471-3 3.016011+1 8.709636-3 2.092242+1 9.772372-3 1.440467+1 1.096478-2 9.843185+0 1.230269-2 6.675688+0 1.380384-2 4.494724+0 1.566751-2 2.886437+0 1.778279-2 1.839450+0 2.018366-2 1.163713+0 2.317395-2 7.006475-1 2.660725-2 4.186505-1 3.054921-2 2.483923-1 3.548134-2 1.400358-1 4.216965-2 7.170981-2 5.069907-2 3.484733-2 6.456542-2 1.337905-2 1.059254-1 1.869477-3 1.288250-1 8.637262-4 1.513561-1 4.605688-4 1.737801-1 2.705192-4 1.972423-1 1.672650-4 2.213095-1 1.087768-4 2.483133-1 7.127037-5 2.754229-1 4.906358-5 3.054921-1 3.403083-5 3.349654-1 2.475310-5 3.672823-1 1.812927-5 4.027170-1 1.337527-5 4.415705-1 9.944852-6 4.786301-1 7.723689-6 5.188000-1 6.036741-6 5.623413-1 4.749238-6 6.095369-1 3.762112-6 6.606935-1 3.002450-6 7.161434-1 2.412635-6 7.762471-1 1.951545-6 8.609938-1 1.492329-6 9.120108-1 1.293126-6 9.660509-1 1.128139-6 1.011579+0 1.017354-6 1.071519+0 8.999312-7 1.148154+0 7.825887-7 1.230269+0 6.852296-7 1.333521+0 5.908998-7 1.778279+0 3.556826-7 2.018366+0 2.864093-7 2.290868+0 2.324873-7 2.600160+0 1.900878-7 3.000000+0 1.526100-7 3.467369+0 1.230722-7 4.027170+0 9.926564-8 4.731513+0 7.936076-8 5.623413+0 6.293265-8 6.683439+0 5.028323-8 8.128305+0 3.931625-8 9.660509+0 3.184860-8 1.200000+1 2.460600-8 1.531087+1 1.857444-8 2.000000+1 1.376000-8 2.722701+1 9.816534-9 3.801894+1 6.867039-9 5.495409+1 4.662989-9 9.015711+1 2.795443-9 1.757924+2 1.415720-9 3.507519+2 7.04681-10 1.396368+3 1.76124-10 1.000000+5 2.45530-12 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 6.300000-6 6.300000-6 1.000000+5 6.300000-6 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 6.300000-6 0.0 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 7.310000-6 5.804239+6 8.222426-6 3.525097+6 9.120108-6 2.254155+6 1.011579-5 1.429567+6 1.109175-5 9.465305+5 1.216186-5 6.223244+5 1.350000-5 3.839280+5 1.621810-5 1.629047+5 1.730000-5 1.211622+5 1.819701-5 9.675550+4 1.883649-5 8.341413+4 1.950000-5 7.230460+4 2.020000-5 6.296640+4 2.070000-5 5.750180+4 2.130000-5 5.202140+4 2.190000-5 4.752260+4 2.250000-5 4.382620+4 2.300000-5 4.125560+4 2.350000-5 3.907600+4 2.400000-5 3.723040+4 2.454709-5 3.553667+4 2.520000-5 3.388960+4 2.583000-5 3.262022+4 2.660725-5 3.140536+4 2.730000-5 3.058680+4 2.818383-5 2.982617+4 2.917427-5 2.926424+4 3.019952-5 2.892034+4 3.150000-5 2.872640+4 3.311311-5 2.872499+4 3.589219-5 2.900786+4 4.073803-5 2.954714+4 4.415704-5 2.969581+4 4.731513-5 2.961347+4 5.011872-5 2.937259+4 5.308844-5 2.896378+4 5.650000-5 2.833860+4 6.025596-5 2.751952+4 6.456542-5 2.647374+4 6.918310-5 2.528962+4 7.413102-5 2.399843+4 8.035261-5 2.242081+4 8.810489-5 2.059652+4 9.800000-5 1.852604+4 1.122018-4 1.606019+4 1.380384-4 1.276719+4 2.089296-4 8.041952+3 2.290868-4 7.217863+3 2.540973-4 6.344833+3 2.851018-4 5.457630+3 3.311311-4 4.449532+3 4.954502-4 2.530080+3 5.821032-4 2.001297+3 8.912509-4 1.057813+3 1.122018-3 7.408758+2 1.396368-3 5.245700+2 1.698244-3 3.824571+2 2.065380-3 2.767719+2 2.511886-3 1.986673+2 3.054921-3 1.414754+2 3.715352-3 9.996013+1 4.466836-3 7.157011+1 5.432503-3 4.981591+1 6.606934-3 3.442293+1 8.035261-3 2.361210+1 9.772372-3 1.607493+1 1.188502-2 1.086115+1 1.428894-2 7.457474+0 1.717908-2 5.082971+0 2.065380-2 3.437930+0 2.454709-2 2.365394+0 2.917427-2 1.615918+0 3.467369-2 1.095795+0 4.120975-2 7.376369-1 4.897788-2 4.929032-1 5.821032-2 3.268013-1 6.998420-2 2.091901-1 8.317638-2 1.367232-1 1.023293-1 8.132965-2 1.303167-1 4.399268-2 1.621810-1 2.507609-2 2.454709-1 8.601036-3 3.054921-1 4.922491-3 3.630781-1 3.189897-3 4.168694-1 2.269092-3 4.786301-1 1.625687-3 5.432503-1 1.205894-3 6.095369-1 9.250801-4 6.839117-1 7.145566-4 7.673615-1 5.557290-4 8.609938-1 4.351786-4 9.549926-1 3.515232-4 1.083927+0 2.731604-4 1.244515+0 2.088889-4 1.412538+0 1.646627-4 1.566751+0 1.363645-4 1.778279+0 1.091251-4 2.041738+0 8.627359-5 2.317395+0 7.007926-5 2.630268+0 5.733494-5 3.019952+0 4.639920-5 3.507519+0 3.716550-5 4.073803+0 2.999279-5 4.786301+0 2.399117-5 5.688529+0 1.903505-5 6.760830+0 1.521628-5 8.222427+0 1.190244-5 9.772372+0 9.646205-6 1.202264+1 7.539829-6 1.513561+1 5.779282-6 1.949845+1 4.346460-6 2.660725+1 3.090635-6 3.715352+1 2.160954-6 5.432503+1 1.449234-6 8.912509+1 8.686456-7 1.737801+2 4.398489-7 3.467369+2 2.189294-7 1.380384+3 5.471414-8 1.000000+5 7.53990-10 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 7.310000-6 7.310000-6 1.000000+5 7.310000-6 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 7.310000-6 0.0 1.000000+5 1.000000+5 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 4.409660-7 1.026100+0 9.970640-7 1.026600+0 1.405630-6 1.027100+0 1.912390-6 1.027500+0 2.395240-6 1.028100+0 3.261080-6 1.028750+0 4.409660-6 1.029500+0 6.034740-6 1.030100+0 7.589410-6 1.031000+0 1.038490-5 1.032000+0 1.420920-5 1.033200+0 1.990460-5 1.034000+0 2.443480-5 1.035300+0 3.316670-5 1.036640+0 4.409660-5 1.038200+0 5.950980-5 1.039700+0 7.731510-5 1.041500+0 1.028670-4 1.043800+0 1.427830-4 1.046400+0 1.986550-4 1.048300+0 2.473310-4 1.051200+0 3.354990-4 1.054080+0 4.409660-4 1.057700+0 6.010660-4 1.061100+0 7.818380-4 1.065100+0 1.035070-3 1.070400+0 1.444040-3 1.076200+0 1.995660-3 1.080600+0 2.492260-3 1.087100+0 3.357880-3 1.093710+0 4.409660-3 1.102600+0 6.113720-3 1.110700+0 7.973140-3 1.120600+0 1.066500-2 1.133300+0 1.482790-2 1.147500+0 2.047190-2 1.158200+0 2.544130-2 1.174100+0 3.400550-2 1.190110+0 4.409660-2 1.205100+0 5.490460-2 1.227500+0 7.350010-2 1.250000+0 9.494000-2 1.265600+0 1.112480-1 1.294900+0 1.447200-1 1.331800+0 1.913450-1 1.362600+0 2.333290-1 1.397000+0 2.828320-1 1.433800+0 3.382530-1 1.500000+0 4.435000-1 1.562500+0 5.491940-1 1.617200+0 6.461030-1 1.712900+0 8.232400-1 1.838500+0 1.064890+0 1.946200+0 1.275210+0 2.000000+0 1.380000+0 2.044000+0 1.465000+0 2.163500+0 1.693300+0 2.372600+0 2.082430+0 2.647100+0 2.570390+0 3.000000+0 3.161000+0 3.500000+0 3.936110+0 4.000000+0 4.646000+0 4.750000+0 5.599650+0 5.000000+0 5.893000+0 6.000000+0 6.965000+0 7.000000+0 7.911000+0 8.000000+0 8.761000+0 9.000000+0 9.534000+0 1.000000+1 1.024000+1 1.100000+1 1.090000+1 1.200000+1 1.151000+1 1.300000+1 1.208000+1 1.400000+1 1.262000+1 1.500000+1 1.311000+1 1.600000+1 1.357000+1 1.800000+1 1.441000+1 2.000000+1 1.515000+1 2.200000+1 1.582000+1 2.400000+1 1.643000+1 2.600000+1 1.699000+1 2.800000+1 1.751000+1 3.000000+1 1.798000+1 4.000000+1 1.992000+1 5.000000+1 2.135000+1 6.000000+1 2.247000+1 8.000000+1 2.410000+1 1.000000+2 2.526000+1 1.500000+2 2.708000+1 2.000000+2 2.817000+1 3.000000+2 2.942000+1 4.000000+2 3.014000+1 5.000000+2 3.061000+1 6.000000+2 3.095000+1 8.000000+2 3.140000+1 1.000000+3 3.169000+1 1.500000+3 3.210000+1 2.000000+3 3.233000+1 3.000000+3 3.258000+1 4.000000+3 3.271000+1 5.000000+3 3.279000+1 6.000000+3 3.285000+1 8.000000+3 3.292000+1 1.000000+4 3.297000+1 1.500000+4 3.304000+1 2.000000+4 3.307000+1 3.000000+4 3.311000+1 4.000000+4 3.313000+1 5.000000+4 3.314000+1 6.000000+4 3.315000+1 8.000000+4 3.316000+1 1.000000+5 3.317000+1 1 73000 7 8 1.809480+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 7.312100-7 2.094700+0 1.287320-6 2.099900+0 1.712590-6 2.106600+0 2.382360-6 2.114000+0 3.296300-6 2.119500+0 4.103870-6 2.127900+0 5.565620-6 2.136250+0 7.312100-6 2.147000+0 1.002540-5 2.156900+0 1.302180-5 2.169000+0 1.737840-5 2.184500+0 2.415660-5 2.201800+0 3.342130-5 2.214800+0 4.164030-5 2.234200+0 5.601360-5 2.253680+0 7.312100-5 2.281500+0 1.024190-4 2.307000+0 1.345270-4 2.338200+0 1.808830-4 2.377400+0 2.505010-4 2.410200+0 3.185960-4 2.446800+0 4.052720-4 2.485900+0 5.102590-4 2.532900+0 6.530220-4 2.556430+0 7.312100-4 2.611900+0 9.323740-4 2.660400+0 1.127190-3 2.745300+0 1.508670-3 2.809000+0 1.827090-3 2.904500+0 2.353760-3 3.000000+0 2.938000-3 3.125000+0 3.788420-3 3.234400+0 4.609580-3 3.425800+0 6.207060-3 3.569300+0 7.526130-3 3.784700+0 9.673260-3 4.000000+0 1.198000-2 4.250000+0 1.479780-2 4.625000+0 1.922220-2 5.000000+0 2.382000-2 5.500000+0 3.013340-2 6.000000+0 3.653000-2 6.750000+0 4.603500-2 7.000000+0 4.916000-2 8.000000+0 6.138000-2 9.000000+0 7.305000-2 1.000000+1 8.411000-2 1.100000+1 9.457000-2 1.200000+1 1.044000-1 1.300000+1 1.137000-1 1.400000+1 1.225000-1 1.500000+1 1.308000-1 1.600000+1 1.387000-1 1.800000+1 1.533000-1 2.000000+1 1.665000-1 2.200000+1 1.786000-1 2.400000+1 1.897000-1 2.600000+1 1.999000-1 2.800000+1 2.094000-1 3.000000+1 2.181000-1 4.000000+1 2.543000-1 5.000000+1 2.814000-1 6.000000+1 3.028000-1 8.000000+1 3.347000-1 1.000000+2 3.578000-1 1.500000+2 3.956000-1 2.000000+2 4.190000-1 3.000000+2 4.473000-1 4.000000+2 4.642000-1 5.000000+2 4.757000-1 6.000000+2 4.841000-1 8.000000+2 4.957000-1 1.000000+3 5.033000-1 1.500000+3 5.147000-1 2.000000+3 5.211000-1 3.000000+3 5.281000-1 4.000000+3 5.323000-1 5.000000+3 5.348000-1 6.000000+3 5.366000-1 8.000000+3 5.389000-1 1.000000+4 5.404000-1 1.500000+4 5.424000-1 2.000000+4 5.436000-1 3.000000+4 5.447000-1 4.000000+4 5.455000-1 5.000000+4 5.459000-1 6.000000+4 5.462000-1 8.000000+4 5.465000-1 1.000000+5 5.467000-1 1 73000 7 8 1.809480+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 73000 7 9 1.809480+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 7.300000+1 1.000000+5 7.300000+1 5.000000+5 7.295900+1 8.750000+5 7.292510+1 1.000000+6 7.291700+1 1.500000+6 7.287000+1 2.000000+6 7.277000+1 2.375000+6 7.267290+1 2.500000+6 7.264400+1 3.000000+6 7.249200+1 3.500000+6 7.231290+1 4.000000+6 7.211700+1 4.500000+6 7.190850+1 5.000000+6 7.167800+1 5.500000+6 7.142150+1 5.875000+6 7.121510+1 6.437500+6 7.088850+1 6.500000+6 7.084910+1 7.000000+6 7.054700+1 7.500000+6 7.022890+1 8.250000+6 6.974820+1 9.000000+6 6.926300+1 1.000000+7 6.859500+1 1.125000+7 6.772340+1 1.187500+7 6.727980+1 1.250000+7 6.683100+1 1.500000+7 6.502400+1 1.750000+7 6.327100+1 2.000000+7 6.149100+1 2.375000+7 5.884010+1 2.500000+7 5.797100+1 2.875000+7 5.539360+1 3.000000+7 5.455400+1 3.437500+7 5.166040+1 3.500000+7 5.126080+1 3.812500+7 4.930490+1 4.000000+7 4.818300+1 4.500000+7 4.534710+1 5.000000+7 4.273100+1 5.500000+7 4.030590+1 6.000000+7 3.804300+1 6.500000+7 3.592120+1 7.000000+7 3.393000+1 7.750000+7 3.117170+1 8.000000+7 3.031700+1 9.000000+7 2.718800+1 1.000000+8 2.452100+1 1.187500+8 2.063250+1 1.250000+8 1.962800+1 1.375000+8 1.798180+1 1.437500+8 1.730400+1 1.500000+8 1.670500+1 1.718800+8 1.501470+1 1.750000+8 1.480460+1 1.875000+8 1.396870+1 1.906300+8 1.376130+1 1.968800+8 1.334580+1 2.000000+8 1.313800+1 2.250000+8 1.152630+1 2.500000+8 1.024300+1 2.718800+8 9.393950+0 2.815400+8 9.022620+0 2.875000+8 8.780760+0 2.881300+8 8.754600+0 2.960400+8 8.411170+0 3.000000+8 8.230400+0 3.062500+8 7.932300+0 3.335900+8 6.719690+0 3.418000+8 6.441500+0 3.500000+8 6.217400+0 3.562500+8 6.084590+0 3.671900+8 5.907830+0 4.000000+8 5.526300+0 4.125000+8 5.357690+0 4.234400+8 5.195550+0 5.000000+8 4.144100+0 5.250000+8 3.916100+0 5.718800+8 3.562630+0 5.906300+8 3.422810+0 6.000000+8 3.350500+0 6.250000+8 3.150810+0 6.718800+8 2.807170+0 6.906300+8 2.695100+0 7.000000+8 2.645700+0 7.250000+8 2.534900+0 7.718800+8 2.355520+0 7.906300+8 2.280390+0 8.000000+8 2.240400+0 8.125000+8 2.183910+0 8.359400+8 2.072260+0 8.564500+8 1.972920+0 9.461700+8 1.590080+0 9.730800+8 1.502710+0 1.000000+9 1.429800+0 1.015600+9 1.394210+0 1.045900+9 1.336940+0 1.074300+9 1.294480+0 1.113400+9 1.249520+0 1.149200+9 1.221730+0 1.193100+9 1.197890+0 1.249300+9 1.169260+0 1.375000+9 1.111800+0 1.392600+9 1.104390+0 1.446300+9 1.082650+0 1.500000+9 1.062100+0 1.562500+9 1.026460+0 1.617200+9 9.918020-1 1.665000+9 9.598890-1 1.748800+9 9.023540-1 1.811600+9 8.593600-1 1.905800+9 7.968990-1 2.000000+9 7.383500-1 2.139200+9 6.603170-1 2.272600+9 5.943510-1 2.443000+9 5.210110-1 2.602800+9 4.618290-1 2.825100+9 3.923630-1 2.961100+9 3.560960-1 3.215900+9 2.985090-1 3.438900+9 2.572480-1 3.500000+9 2.471720-1 3.719500+9 2.147950-1 3.954200+9 1.857670-1 4.215700+9 1.589190-1 4.495800+9 1.352760-1 4.831900+9 1.123850-1 5.000000+9 1.027500-1 5.375000+9 8.468680-2 5.703100+9 7.204570-2 6.277300+9 5.515790-2 7.138700+9 3.825540-2 8.000000+9 2.752600-2 1.00000+10 1.437200-2 1.27030+10 7.168590-3 1.84370+10 2.441490-3 2.45630+10 1.070510-3 3.39920+10 4.229630-4 5.04940+10 1.374470-4 7.52470+10 4.460750-5 1.00000+11 2.009000-5 1.34280+11 8.824340-6 2.20600+11 2.226180-6 4.19930+11 3.786700-7 1.03480+12 3.241790-8 3.24440+12 1.485280-9 1.00000+14 1.57000-13 3.16230+15 1.47636-17 1.00000+17 1.31230-21 1 73000 7 0 1.809480+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 8.70000-12 1.000000+2 8.70000-10 1.000000+3 8.700000-8 1.000000+4 8.700000-6 1.000000+5 8.700000-4 5.000000+5 2.175000-2 8.750000+5 6.660938-2 1.000000+6 8.700000-2 1.500000+6 1.926000-1 2.000000+6 3.373000-1 2.375000+6 4.690120-1 2.500000+6 5.170000-1 3.000000+6 7.275000-1 3.500000+6 9.640930-1 4.000000+6 1.222100+0 4.500000+6 1.496560+0 5.000000+6 1.783000+0 5.500000+6 2.077080+0 5.875000+6 2.300770+0 6.437500+6 2.638010+0 6.500000+6 2.675520+0 7.000000+6 2.974200+0 7.500000+6 3.269370+0 8.250000+6 3.704460+0 9.000000+6 4.128500+0 1.000000+7 4.676000+0 1.125000+7 5.336940+0 1.187500+7 5.661200+0 1.250000+7 5.982700+0 1.500000+7 7.257000+0 1.750000+7 8.535000+0 2.000000+7 9.811000+0 2.375000+7 1.169030+1 2.500000+7 1.230400+1 2.875000+7 1.409740+1 3.000000+7 1.468300+1 3.437500+7 1.668030+1 3.500000+7 1.696010+1 3.812500+7 1.832580+1 4.000000+7 1.912300+1 4.500000+7 2.115520+1 5.000000+7 2.304200+1 5.500000+7 2.477860+1 6.000000+7 2.638500+1 6.500000+7 2.788190+1 7.000000+7 2.929800+1 7.750000+7 3.129480+1 8.000000+7 3.193800+1 9.000000+7 3.438500+1 1.000000+8 3.666900+1 1.187500+8 4.057720+1 1.250000+8 4.178600+1 1.375000+8 4.406620+1 1.437500+8 4.514020+1 1.500000+8 4.616800+1 1.718800+8 4.939350+1 1.750000+8 4.981110+1 1.875000+8 5.137440+1 1.906300+8 5.173730+1 1.968800+8 5.243830+1 2.000000+8 5.277700+1 2.250000+8 5.515410+1 2.500000+8 5.709500+1 2.718800+8 5.851580+1 2.815400+8 5.908080+1 2.875000+8 5.941580+1 2.881300+8 5.944980+1 2.960400+8 5.986650+1 3.000000+8 6.007200+1 3.062500+8 6.037890+1 3.335900+8 6.161480+1 3.418000+8 6.194920+1 3.500000+8 6.227700+1 3.562500+8 6.251010+1 3.671900+8 6.291040+1 4.000000+8 6.400200+1 4.125000+8 6.437480+1 4.234400+8 6.469370+1 5.000000+8 6.657200+1 5.250000+8 6.707530+1 5.718800+8 6.791480+1 5.906300+8 6.820560+1 6.000000+8 6.834800+1 6.250000+8 6.869430+1 6.718800+8 6.925230+1 6.906300+8 6.944870+1 7.000000+8 6.954500+1 7.250000+8 6.976900+1 7.718800+8 7.014450+1 7.906300+8 7.027670+1 8.000000+8 7.033900+1 8.125000+8 7.041370+1 8.359400+8 7.055100+1 8.564500+8 7.066320+1 9.461700+8 7.106130+1 9.730800+8 7.116250+1 1.000000+9 7.126100+1 1.015600+9 7.130910+1 1.045900+9 7.140050+1 1.074300+9 7.148400+1 1.113400+9 7.159540+1 1.149200+9 7.168080+1 1.193100+9 7.178000+1 1.249300+9 7.190210+1 1.375000+9 7.211520+1 1.392600+9 7.214330+1 1.446300+9 7.222540+1 1.500000+9 7.229600+1 1.562500+9 7.236530+1 1.617200+9 7.242380+1 1.665000+9 7.247330+1 1.748800+9 7.255010+1 1.811600+9 7.259630+1 1.905800+9 7.266270+1 2.000000+9 7.272600+1 2.139200+9 7.279210+1 2.272600+9 7.284040+1 2.443000+9 7.289060+1 2.602800+9 7.292790+1 2.825100+9 7.296290+1 2.961100+9 7.297430+1 3.215900+9 7.299130+1 3.438900+9 7.300170+1 3.500000+9 7.300160+1 3.719500+9 7.300090+1 3.954200+9 7.300030+1 4.215700+9 7.299970+1 4.495800+9 7.299910+1 4.831900+9 7.299830+1 5.000000+9 7.299800+1 5.375000+9 7.299830+1 5.703100+9 7.299860+1 6.277300+9 7.299900+1 7.138700+9 7.299950+1 8.000000+9 7.300000+1 1.00000+10 7.300000+1 1.27030+10 7.300000+1 1.84370+10 7.300000+1 2.45630+10 7.300000+1 3.39920+10 7.300000+1 5.04940+10 7.300000+1 7.52470+10 7.300000+1 1.00000+11 7.300000+1 1.34280+11 7.300000+1 2.20600+11 7.300000+1 4.19930+11 7.300000+1 1.03480+12 7.300000+1 3.24440+12 7.300000+1 1.00000+14 7.300000+1 3.16230+15 7.300000+1 1.00000+17 7.300000+1 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.016126-6 1.204533-8 1.018621-6 2.383438-8 1.021116-6 4.353545-8 1.023610-6 7.340675-8 1.026105-6 1.142570-7 1.028600-6 1.641661-7 1.031095-6 2.177399-7 1.033590-6 2.665917-7 1.036085-6 3.013068-7 1.038580-6 3.143586-7 1.041075-6 3.027580-7 1.043570-6 2.691657-7 1.046065-6 2.209011-7 1.051055-6 1.170351-7 1.053550-6 7.555379-8 1.056044-6 4.502465-8 1.058539-6 2.476843-8 1.061034-6 1.257768-8 1.063529-6 0.0 2.622637-6 0.0 2.629092-6 2.35753-14 2.635548-6 4.66491-14 2.642003-6 8.52084-14 2.648458-6 1.43673-13 2.654914-6 2.23626-13 2.661369-6 3.21309-13 2.667824-6 4.26165-13 2.674279-6 5.21778-13 2.680735-6 5.89723-13 2.687190-6 6.15268-13 2.693645-6 5.92564-13 2.700101-6 5.26816-13 2.706556-6 4.32352-13 2.719466-6 2.29063-13 2.725922-6 1.47875-13 2.732377-6 8.81231-14 2.738832-6 4.84772-14 2.745288-6 2.46173-14 2.751743-6 0.0 2.985379-6 0.0 2.998238-6 7.522202-1 3.000075-6 8.585837-1 3.007423-6 1.568273+0 3.014771-6 2.644324+0 3.023038-6 4.340129+0 3.035782-6 7.571675+0 3.044164-6 9.603407+0 3.051971-6 1.088327+1 3.059535-6 1.128584+1 3.067242-6 1.073633+1 3.074985-6 9.358802+0 3.087279-6 6.284580+0 3.096060-6 4.122761+0 3.103178-6 2.687379+0 3.110527-6 1.599168+0 3.117760-6 8.853851-1 3.128539-6 2.347368-1 3.132304-6 2.320602-3 3.132341-6 0.0 3.330523-6 0.0 3.344869-6 4.649719-1 3.346919-6 5.307187-1 3.355116-6 9.694010-1 3.363314-6 1.634543+0 3.371512-6 2.544153+0 3.386370-6 4.624291+0 3.396105-6 5.936179+0 3.405327-6 6.745435+0 3.413012-6 6.983696+0 3.421210-6 6.694848+0 3.430368-6 5.800767+0 3.443525-6 3.983651+0 3.453488-6 2.606013+0 3.461686-6 1.682351+0 3.469884-6 1.002561+0 3.478081-6 5.515170-1 3.490378-6 1.401979-1 3.494477-6 0.0 3.636268-6 0.0 3.649693-6 2.979443+0 3.654168-6 3.959993+0 3.663119-6 7.233252+0 3.672069-6 1.219626+1 3.681784-6 1.970395+1 3.708429-6 4.473199+1 3.717641-6 5.040755+1 3.727029-6 5.221613+1 3.735979-6 4.992018+1 3.744885-6 4.417946+1 3.770521-6 2.055619+1 3.779471-6 1.375711+1 3.788421-6 8.690034+0 3.797372-6 5.240946+0 3.808559-6 2.490868+0 3.815272-6 7.765154-1 3.829623-6 4.581373-1 3.838713-6 2.957575-1 3.847804-6 1.762503-1 3.856894-6 9.695674-2 3.868257-6 3.694849-2 3.875075-6 0.0 3.960634-6 0.0 3.977694-6 8.154587-8 3.980131-6 9.307641-8 3.989880-6 1.700117-7 3.999009-6 2.792398-7 4.018696-6 8.015615+0 4.028874-6 1.498287+1 4.038623-6 2.502279+1 4.049590-6 4.074915+1 4.066706-6 7.101712+1 4.078369-6 9.038409+1 4.089190-6 1.020400+2 4.098151-6 1.054390+2 4.108187-6 1.007842+2 4.118895-6 8.761085+1 4.145857-6 4.073416+1 4.156498-6 2.540909+1 4.166341-6 1.514200+1 4.176184-6 8.329738+0 4.190949-6 2.117453+0 4.195871-6 0.0 4.640520-6 0.0 4.651942-6 2.23805-14 4.663364-6 4.42848-14 4.668520-6 6.07887-14 4.691502-6 4.977515-8 4.702993-6 9.091832-8 4.714484-6 1.533007-7 4.725975-6 2.386112-7 4.729968-6 2.747699-7 4.731256-6 2.905156-7 4.754740-6 1.055218-1 4.766192-6 1.901442-1 4.777838-6 3.206089-1 4.789483-6 4.990248-1 4.824419-6 1.164356+0 4.836065-6 1.315976+0 4.847710-6 1.372980+0 4.859355-6 1.322314+0 4.871001-6 1.175598+0 4.905937-6 5.111584-1 4.917582-6 3.299862-1 4.929228-6 1.966482-1 4.940873-6 1.081778-1 4.952518-6 5.493391-2 4.964164-6 1.156609-7 4.974107-6 0.0 4.974265-6 0.0 4.986508-6 1.20597-14 4.998752-6 2.38628-14 5.010995-6 4.35874-14 5.023239-6 7.34943-14 5.035482-6 1.14393-13 5.047726-6 1.64362-13 5.059969-6 2.18000-13 5.072213-6 2.66910-13 5.084456-6 3.01666-13 5.096700-6 3.14733-13 5.108944-6 3.03119-13 5.121187-6 2.69487-13 5.133431-6 2.21164-13 5.157918-6 1.17175-13 5.170161-6 7.56439-14 5.182405-6 4.50783-14 5.194648-6 2.47980-14 5.206892-6 1.25927-14 5.219135-6 0.0 5.299597-6 0.0 5.312641-6 1.896229-2 5.325686-6 3.752114-2 5.336196-6 6.249945-2 5.338730-6 7.204755-2 5.348406-6 1.203498-1 5.351774-6 1.438582-1 5.364829-6 2.541567-1 5.375599-6 3.657587-1 5.388734-6 5.393915-1 5.430530-6 1.225001+0 5.443670-6 1.392074+0 5.456810-6 1.490094+0 5.469950-6 1.498388+0 5.483090-6 1.418146+0 5.501158-6 1.191046+0 5.535651-6 6.672988-1 5.548791-6 5.067115-1 5.560483-6 3.864366-1 5.573020-6 3.017885-1 5.598884-6 1.731575-1 5.612221-6 1.343687-1 5.618264-6 1.274985-1 5.626571-6 1.233273-1 5.640125-6 1.268382-1 5.654150-6 1.511148-1 5.667341-6 2.593919-1 5.681984-6 4.039303-1 5.695901-6 5.990423-1 5.712010-6 8.958483-1 5.745781-6 1.645313+0 5.768425-6 2.487335+0 5.789439-6 3.258517+0 5.807820-6 4.171357+0 5.831637-6 5.676508+0 5.860361-6 7.578679+0 5.877023-6 8.157947+0 5.889352-6 8.202340+0 5.905428-6 7.592679+0 5.919581-6 6.597798+0 5.957386-6 3.207283+0 5.971595-6 2.193251+0 5.985842-6 1.453648+0 6.000012-6 9.706799-1 6.027693-6 4.182953-1 6.051510-6 4.629394-1 6.073846-6 5.477435-1 6.133353-6 8.674262-1 6.149916-6 9.125140-1 6.167967-6 9.155057-1 6.189414-6 8.427864-1 6.236705-6 5.709143-1 6.251606-6 4.968623-1 6.265421-6 4.477881-1 6.280091-6 4.156907-1 6.302003-6 3.877089-1 6.314229-6 3.987422-1 6.345661-6 4.821601-1 6.350026-6 4.997085-1 6.359409-6 5.892480-1 6.374469-6 7.501636-1 6.382318-6 8.476812-1 6.399402-6 1.138159+0 6.416577-6 1.524936+0 6.462610-6 2.776508+0 6.478135-6 3.089141+0 6.493660-6 3.246442+0 6.510552-6 3.196751+0 6.528590-6 2.922852+0 6.551928-6 2.362943+0 6.574253-6 1.780460+0 6.586808-6 1.500005+0 6.601250-6 1.241483+0 6.616772-6 1.037450+0 6.632091-6 9.197825-1 6.662855-6 8.529567-1 6.680865-6 9.347614-1 6.702151-6 1.095258+0 6.733139-6 1.418454+0 6.759631-6 1.716397+0 6.780736-6 1.864426+0 6.798700-6 1.904603+0 6.821450-6 1.822830+0 6.868862-6 1.510031+0 6.883372-6 1.454867+0 6.910435-6 1.456744+0 6.984082-6 1.570467+0 7.269200-6 1.563325+0 7.374315-6 1.599456+0 8.128305-6 1.708465+0 9.602626-6 2.086022+0 1.311752-5 3.292697+0 1.611533-5 4.260617+0 1.835550-5 4.744156+0 2.085545-5 4.960434+0 2.397288-5 4.816764+0 2.697773-5 4.475049+0 2.710627-5 5.691692+0 2.718096-5 6.935796+0 2.724735-5 8.599848+0 2.731318-5 1.082688+1 2.751292-5 1.886980+1 2.758112-5 2.059373+1 2.764512-5 2.110445+1 2.771357-5 2.028009+1 2.778789-5 1.804476+1 2.796936-5 1.055344+1 2.803990-5 8.217857+0 2.810214-5 6.674451+0 2.817463-5 5.518101+0 2.830266-5 4.230599+0 2.836509-5 4.264150+0 2.849829-5 5.137502+0 2.857682-5 6.046867+0 2.864662-5 7.265050+0 2.871642-5 8.905789+0 2.892146-5 1.470790+1 2.899421-5 1.601851+1 2.907784-5 1.634499+1 2.914178-5 1.573602+1 2.923025-5 1.381108+1 2.941007-5 8.840928+0 2.948805-5 7.221120+0 2.954967-5 6.294388+0 2.962386-5 5.608175+0 2.976303-5 4.819055+0 2.993010-5 4.674111+0 3.021126-5 4.131276+0 3.049744-5 3.887833+0 3.187041-5 3.701025+0 3.249490-5 3.909297+0 3.307478-5 3.732312+0 3.406005-5 3.614456+0 3.422988-5 5.218662+0 3.431507-5 6.563482+0 3.440160-5 8.628108+0 3.448975-5 1.148936+1 3.473451-5 2.092289+1 3.476793-5 2.186462+1 3.483362-5 2.856216+1 3.494542-5 3.793614+1 3.503080-5 4.799193+1 3.512526-5 6.487017+1 3.522143-5 8.891379+1 3.543706-5 1.538167+2 3.547653-5 1.646002+2 3.556734-5 1.797707+2 3.564199-5 1.827010+2 3.572816-5 1.724476+2 3.582711-5 1.468234+2 3.605788-5 6.872542+1 3.614312-5 4.552974+1 3.622662-5 2.875863+1 3.631081-5 1.749388+1 3.647947-5 3.525884+0 3.872855-5 3.307104+0 3.891920-5 3.474298+0 3.901452-5 3.618738+0 3.910985-5 3.842609+0 3.926912-5 4.411892+0 3.960241-5 5.693477+0 3.974501-5 5.870951+0 4.008498-5 5.902385+0 4.049974-5 6.888383+0 4.080970-5 6.948067+0 4.125588-5 6.701954+0 4.234634-5 6.680235+0 4.315987-5 6.560437+0 4.337234-5 1.414476+1 4.348521-5 2.101883+1 4.359144-5 3.076915+1 4.370208-5 4.469633+1 4.401305-5 9.198798+1 4.413091-5 1.033037+2 4.423420-5 1.064518+2 4.433818-5 1.021556+2 4.445201-5 8.974668+1 4.475336-5 4.367205+1 4.485960-5 3.038725+1 4.496583-5 2.060416+1 4.507206-5 1.410567+1 4.528453-5 6.142231+0 4.782837-5 5.617317+0 4.830860-5 5.715213+0 4.985898-5 7.106879+0 5.157054-5 7.061787+0 5.982587-5 5.730711+0 6.590361-5 5.146358+0 7.072428-5 4.954076+0 7.426285-5 4.990188+0 7.535421-5 5.163067+0 7.700273-5 5.060820+0 8.293732-5 5.375183+0 8.930002-5 5.930332+0 1.006859-4 7.342946+0 1.438605-4 1.373779+1 1.760000-4 1.761214+1 2.066605-4 2.005682+1 2.236180-4 2.108761+1 2.286889-4 2.230096+1 2.358031-4 2.261984+1 2.406479-4 2.352269+1 2.950000-4 2.356895+1 3.842750-4 2.335088+1 3.916213-4 2.495915+1 4.013075-4 2.433386+1 4.997468-4 2.333884+1 5.466398-4 2.263857+1 5.580000-4 2.282346+1 8.322128-4 1.758514+1 1.026243-3 1.469181+1 1.245256-3 1.218808+1 1.525096-3 9.850709+0 1.702893-3 8.776821+0 1.713085-3 9.069270+0 1.719418-3 9.680386+0 1.725664-3 1.085886+1 1.732031-3 1.277601+1 1.750288-3 2.024756+1 1.758169-3 2.260252+1 1.767508-3 2.411859+1 1.788683-3 2.591034+1 1.820881-3 3.100230+1 1.846000-3 3.242513+1 1.902622-3 3.351560+1 1.973294-3 3.292666+1 2.138860-3 2.953198+1 2.164116-3 3.096754+1 2.184438-3 3.261900+1 2.243289-3 3.160276+1 2.411600-3 2.871393+1 2.473012-3 2.937322+1 2.646829-3 2.684642+1 2.732682-3 2.673989+1 3.209653-3 2.149248+1 3.732480-3 1.738356+1 4.290422-3 1.417966+1 4.918094-3 1.157613+1 5.567049-3 9.590984+0 6.335733-3 7.861902+0 7.209208-3 6.425695+0 8.089650-3 5.356570+0 9.284532-3 4.297354+0 9.638010-3 4.058434+0 9.706974-3 4.218740+0 9.748012-3 4.574607+0 9.781400-3 5.108977+0 9.817444-3 5.957764+0 9.900537-3 8.336984+0 9.943558-3 9.228781+0 1.000192-2 9.809281+0 1.011489-2 9.857566+0 1.095252-2 8.737368+0 1.103808-2 9.004996+0 1.115005-2 1.016847+1 1.122833-2 1.095053+1 1.133941-2 1.125213+1 1.153503-2 1.119788+1 1.176608-2 1.210985+1 1.213977-2 1.174357+1 1.388414-2 9.526093+0 1.583465-2 7.720902+0 1.812766-2 6.195357+0 2.078302-2 4.942309+0 2.370574-2 3.966775+0 2.708254-2 3.164234+0 3.033427-2 2.606928+0 3.416818-2 2.122110+0 3.860375-2 1.715896+0 4.346701-2 1.394294+0 4.903234-2 1.127084+0 5.503518-2 9.188303-1 6.227178-2 7.369236-1 6.588944-2 6.700306-1 6.627357-2 6.883929-1 6.649293-2 7.316484-1 6.667693-2 8.060311-1 6.683958-2 9.140483-1 6.698482-2 1.050638+0 6.720296-2 1.331674+0 6.760488-2 2.010830+0 6.797210-2 2.600511+0 6.828860-2 2.931831+0 6.866174-2 3.104772+0 6.952041-2 3.119576+0 8.100491-2 2.443062+0 9.240482-2 1.971110+0 1.045668-1 1.603205+0 1.181530-1 1.304696+0 1.353194-1 1.035704+0 1.500084-1 8.676417-1 1.686730-1 7.097403-1 1.892054-1 5.831633-1 2.118569-1 4.807201-1 2.377464-1 3.951192-1 2.703325-1 3.186283-1 3.042426-1 2.625107-1 3.430724-1 2.163902-1 3.834864-1 1.818208-1 4.365158-1 1.494853-1 4.981628-1 1.234743-1 5.688530-1 1.027935-1 6.526607-1 8.589987-2 7.467263-1 7.278464-2 8.418493-1 6.333102-2 9.914025-1 5.321443-2 1.173413+0 4.423916-2 1.347258+0 3.791182-2 1.546860+0 3.248946-2 1.776032+0 2.784263-2 2.039158+0 2.386042-2 2.353545+0 2.033366-2 2.814822+0 1.664445-2 3.231848+0 1.426387-2 3.710658+0 1.222377-2 4.260405+0 1.047545-2 4.891600+0 8.977195-3 5.616308+0 7.693225-3 6.448384+0 6.592896-3 7.403736+0 5.649942-3 8.500626+0 4.841855-3 9.760024+0 4.149345-3 1.000000+1 8.564522-3 1 73000 7 0 1.809480+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-7.283351+1 2.706556-6-7.042344+1 2.957794-6-6.761871+1 3.029467-6-6.292781+1 3.049675-6-6.642529+1 3.070913-6-7.318623+1 3.091467-6-7.026481+1 3.133114-6-7.273020+1 3.249862-6-6.875128+1 3.346919-6-6.500146+1 3.386370-6-6.358909+1 3.441760-6-7.022941+1 3.494477-6-6.705485+1 3.594710-6-5.953741+1 3.627275-6-5.435354+1 3.663119-6-4.193625+1 3.675145-6-3.791863+1 3.683219-6-3.656532+1 3.690440-6-3.723659+1 3.699483-6-4.043045+1 3.707427-6-4.586405+1 3.717099-6-5.613861+1 3.730989-6-7.327196+1 3.737361-6-6.553713+1 3.748275-6-5.533826+1 3.758601-6-5.018472+1 3.768596-6-4.853198+1 3.780590-6-5.086430+1 3.827356-6-6.665693+1 3.865142-6-7.310485+1 3.949772-6-6.060796+1 3.980131-6-5.312165+1 3.995158-6-4.680021+1 4.006188-6-3.933829+1 4.018696-6-3.199418+1 4.030093-6-2.417022+1 4.039841-6-1.844264+1 4.041974-6-1.751992+1 4.049590-6-1.531501+1 4.053322-6-1.528414+1 4.058120-6-1.631073+1 4.061486-6-1.775328+1 4.065501-6-2.056264+1 4.070372-6-2.564860+1 4.074639-6-3.106460+1 4.078369-6-3.744964+1 4.086137-6-5.190822+1 4.095599-6-7.334271+1 4.098151-6-6.650027+1 4.110282-6-3.892344+1 4.118895-6-2.297974+1 4.122427-6-1.792049+1 4.126969-6-1.259056+1 4.128150-6-1.135192+1 4.130363-6-9.367425+0 4.132300-6-7.891758+0 4.133995-6-6.781151+0 4.136960-6-5.227094+0 4.139185-6-4.387648+0 4.140853-6-3.950443+0 4.143355-6-3.643173+0 4.144606-6-3.685965+0 4.151178-6-5.236239+0 4.153838-6-6.080856+0 4.155168-6-6.670216+0 4.157729-6-8.389172+0 4.164188-6-1.190056+1 4.179568-6-2.236599+1 4.194640-6-3.092911+1 4.198904-6-3.428585+1 4.210859-6-3.966520+1 4.230635-6-4.514159+1 4.267592-6-5.115395+1 4.337092-6-5.701383+1 4.471353-6-6.213085+1 4.824419-6-6.732996+1 4.940873-6-6.695889+1 5.443670-6-7.037732+1 5.573020-6-7.006490+1 5.821400-6-7.362584+1 5.875390-6-7.033416+1 5.933642-6-6.528529+1 5.985842-6-6.591703+1 6.108335-6-6.900863+1 6.462610-6-7.124414+1 6.580531-6-6.889810+1 6.780736-6-7.040644+1 1.790204-5-7.119736+1 2.283975-5-7.043051+1 2.616947-5-6.609894+1 2.691210-5-6.239969+1 2.732770-5-5.639573+1 2.747284-5-5.839900+1 2.764512-5-6.642353+1 2.771970-5-6.968712+1 2.786723-5-6.493623+1 2.803264-5-6.531414+1 2.828431-5-6.966253+1 2.866189-5-6.259529+1 2.884730-5-6.245032+1 2.906445-5-6.839584+1 2.911612-5-6.954387+1 2.929452-5-6.542256+1 2.948805-5-6.589547+1 2.993010-5-6.969460+1 3.271514-5-5.721983+1 3.345179-5-5.057468+1 3.383941-5-4.445396+1 3.406005-5-3.854976+1 3.427351-5-3.046564+1 3.466497-5-1.238665+1 3.473451-5-8.548392+0 3.475122-5-7.267402+0 3.476375-5-6.016887+0 3.477204-5-4.825948+0 3.478743-5-3.317732+0 3.481053-5-1.622009+0 3.483362-5-3.570947-1 3.487597-5 1.840117+0 3.491832-5 4.357430+0 3.493187-5 5.285464+0 3.496724-5 8.270280+0 3.501479-5 1.181109+1 3.504189-5 1.457728+1 3.513611-5 2.153214+1 3.515509-5 2.233972+1 3.522143-5 2.395939+1 3.523908-5 2.369956+1 3.526883-5 2.213357+1 3.529167-5 2.019518+1 3.532269-5 1.655706+1 3.534264-5 1.358559+1 3.536259-5 9.953824+0 3.538982-5 4.350463+0 3.541025-5-2.172883-1 3.542557-5-3.971093+0 3.543706-5-7.011472+0 3.544575-5-9.467409+0 3.546506-5-1.558166+1 3.547653-5-2.008509+1 3.553055-5-3.962819+1 3.555095-5-4.848481+1 3.557603-5-5.982746+1 3.560136-5-7.027400+1 3.563428-5-5.536459+1 3.564199-5-5.115045+1 3.571953-5-1.798389+1 3.572816-5-1.390738+1 3.573875-5-9.649180+0 3.574805-5-6.193359+0 3.576433-5-5.388632-1 3.580706-5 1.328190+1 3.581791-5 1.721594+1 3.582711-5 2.002866+1 3.584436-5 2.458145+1 3.587265-5 3.077596+1 3.591430-5 3.771666+1 3.595210-5 4.210675+1 3.600569-5 4.530475+1 3.604483-5 4.554075+1 3.612181-5 4.095341+1 3.621749-5 3.007281+1 3.633564-5 1.411827+1 3.644900-5 1.631829+0 3.646423-5-3.274950-1 3.647185-5-1.440815+0 3.647566-5-2.066000+0 3.648361-5-3.653246+0 3.649139-5-4.852483+0 3.650499-5-6.622074+0 3.652539-5-8.888712+0 3.656746-5-1.276488+1 3.662060-5-1.674559+1 3.668254-5-2.056906+1 3.679508-5-2.607447+1 3.692944-5-3.108101+1 3.715512-5-3.726929+1 3.748261-5-4.343365+1 3.803480-5-5.020897+1 3.941211-5-6.096461+1 4.145525-5-6.756705+1 4.233064-5-7.273633+1 4.286363-5-6.250950+1 4.309662-5-5.481306+1 4.326611-5-4.516840+1 4.337234-5-3.949503+1 4.349766-5-3.176703+1 4.360389-5-2.619624+1 4.370208-5-2.323039+1 4.375677-5-2.330226+1 4.382093-5-2.532274+1 4.388550-5-2.929647+1 4.395623-5-3.574122+1 4.400597-5-4.228162+1 4.410681-5-5.922702+1 4.416461-5-7.054431+1 4.422468-5-5.788326+1 4.433175-5-3.590869+1 4.436080-5-3.026211+1 4.445201-5-1.504262+1 4.447345-5-1.214851+1 4.449222-5-9.930233+0 4.450864-5-8.177727+0 4.453737-5-5.471772+0 4.455892-5-3.711855+0 4.459125-5-1.467233+0 4.462358-5 3.280107-1 4.465602-5 1.688556+0 4.468036-5 2.413119+0 4.469861-5 2.779704+0 4.472599-5 3.006904+0 4.473967-5 2.938133+0 4.480648-5 1.435643+0 4.483304-5 6.702452-1 4.484632-5 1.518795-1 4.485960-5-5.941273-1 4.487287-5-1.375301+0 4.491935-5-3.493709+0 4.494259-5-4.640355+0 4.495421-5-5.297353+0 4.496583-5-6.121594+0 4.510858-5-1.449558+1 4.525797-5-2.176285+1 4.532617-5-2.621037+1 4.544770-5-3.087447+1 4.564934-5-3.578786+1 4.602725-5-4.130849+1 4.672127-5-4.673449+1 4.830860-5-5.279726+1 4.985898-5-5.498220+1 7.535421-5-6.039763+1 1.093905-4-6.359069+1 1.577263-4-6.209708+1 2.236180-4-5.696517+1 2.808655-4-4.970109+1 3.749607-4-4.374390+1 4.013075-4-4.314009+1 4.293107-4-4.068651+1 5.278372-4-3.582672+1 6.717023-4-3.104330+1 8.322128-4-2.828275+1 1.026243-3-2.704346+1 1.245256-3-2.747923+1 1.433101-3-2.951613+1 1.562248-3-3.256626+1 1.642583-3-3.623563+1 1.687411-3-4.009972+1 1.710271-3-4.396561+1 1.736792-3-5.088213+1 1.750288-3-5.085889+1 1.778280-3-4.646377+1 1.809111-3-4.485000+1 1.846000-3-3.938169+1 1.902622-3-3.364830+1 1.973294-3-2.827263+1 2.040882-3-2.521984+1 2.111896-3-2.360221+1 2.154007-3-2.384384+1 2.184438-3-2.433597+1 2.243289-3-2.063749+1 2.306579-3-1.846021+1 2.392082-3-1.679779+1 2.463429-3-1.642955+1 2.542801-3-1.424405+1 2.625729-3-1.307075+1 2.691726-3-1.264468+1 2.754500-3-1.127988+1 2.866520-3-9.755956+0 3.064546-3-7.998746+0 3.287005-3-6.682201+0 3.548772-3-5.637424+0 3.830879-3-4.895129+0 4.159704-3-4.378039+0 4.602234-3-4.036642+0 5.131613-3-3.921190+0 5.832033-3-4.072095+0 6.616450-3-4.469061+0 7.519429-3-5.168224+0 8.344986-3-6.110124+0 8.910690-3-7.098629+0 9.284532-3-8.129841+0 9.520473-3-9.201127+0 9.638010-3-1.009533+1 9.733128-3-1.136062+1 9.838121-3-1.310050+1 9.900537-3-1.324842+1 9.977880-3-1.218201+1 1.008083-2-1.051421+1 1.020741-2-9.402219+0 1.039597-2-8.583188+0 1.063959-2-8.140509+0 1.085771-2-8.215681+0 1.098587-2-8.674149+0 1.112372-2-9.482708+0 1.119986-2-9.411306+0 1.137804-2-8.100561+0 1.149158-2-7.732269+0 1.164981-2-7.545926+0 1.176608-2-6.886437+0 1.192035-2-5.919348+0 1.213977-2-5.059071+0 1.242533-2-4.283834+0 1.285472-2-3.449408+0 1.327051-2-2.853941+0 1.375427-2-2.327682+0 1.434520-2-1.844245+0 1.487647-2-1.509250+0 1.567481-2-1.139199+0 1.625134-2-9.427195-1 1.681362-2-7.921430-1 1.747293-2-6.590382-1 1.832177-2-5.309090-1 1.919204-2-4.395172-1 1.972423-2-3.994962-1 2.035488-2-3.663216-1 2.162719-2-3.321398-1 2.269526-2-3.273829-1 2.440002-2-3.455545-1 2.618937-2-3.919847-1 2.899947-2-4.898724-1 4.526652-2-1.158658+0 5.299385-2-1.518948+0 5.823373-2-1.850725+0 6.140776-2-2.152396+0 6.351577-2-2.461316+0 6.498118-2-2.807083+0 6.588944-2-3.173822+0 6.649293-2-3.614333+0 6.727825-2-4.368501+0 6.760488-2-4.444062+0 6.797210-2-4.230406+0 6.876324-2-3.377143+0 6.928273-2-2.980166+0 7.000000-2-2.628781+0 7.111048-2-2.272065+0 7.280271-2-1.916764+0 7.496317-2-1.606636+0 7.738961-2-1.360208+0 8.100491-2-1.109251+0 8.417256-2-9.566637-1 8.801455-2-8.209162-1 9.240482-2-7.072475-1 9.721946-2-6.163708-1 1.045668-1-5.287113-1 1.101922-1-4.869762-1 1.181530-1-4.512464-1 1.306890-1-4.268269-1 1.500084-1-4.286612-1 2.703325-1-5.676370-1 3.715352-1-6.372315-1 5.385798-1-6.916876-1 8.922135-1-7.293825-1 2.688134+0-7.487943-1 8.118035+0-7.524418-1 1.000000+1-7.518342-1 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.223476-2 1.083768-6 1.718004-2 1.152562-6 2.230550-2 1.225723-6 2.912321-2 1.303528-6 3.823595-2 1.386271-6 5.048141-2 1.474267-6 6.706487-2 1.536000-6 8.126089-2 1.616843-6 1.030295-1 1.667370-6 1.191553-1 1.719475-6 1.381221-1 1.773209-6 1.604906-1 1.828621-6 1.869385-1 1.936898-6 2.501893-1 1.988512-6 2.865739-1 2.086951-6 3.694615-1 2.179334-6 4.674410-1 2.266033-6 5.819194-1 2.307362-6 6.456359-1 2.347399-6 7.142611-1 2.423758-6 8.645360-1 2.496557-6 1.035829+0 2.564806-6 1.228109+0 2.628790-6 1.442328+0 2.688774-6 1.679163+0 2.745010-6 1.939138+0 2.797731-6 2.222613+0 2.847156-6 2.529727+0 2.893493-6 2.860263+0 2.936934-6 3.213913+0 2.977659-6 3.590391+0 3.015839-6 3.988818+0 3.051633-6 4.408373+0 3.085190-6 4.848434+0 3.116650-6 5.308141+0 3.146143-6 5.786615+0 3.173793-6 6.283843+0 3.199715-6 6.799656+0 3.248318-6 7.906566+0 3.290846-6 9.052926+0 3.328058-6 1.022870+1 3.360619-6 1.141820+1 3.389109-6 1.260664+1 3.414039-6 1.378214+1 3.435852-6 1.493148+1 3.474024-6 1.725390+1 3.502654-6 1.931170+1 3.524126-6 2.107653+1 3.556334-6 2.415058+1 3.572438-6 2.591683+1 3.597375-6 2.902565+1 3.623874-6 3.293859+1 3.650372-6 3.764771+1 3.668037-6 4.134344+1 3.685703-6 4.559233+1 3.703368-6 5.051868+1 3.721034-6 5.628776+1 3.738699-6 6.312437+1 3.747532-6 6.703616+1 3.756365-6 7.134097+1 3.765197-6 7.609906+1 3.774443-6 8.164567+1 3.783112-6 8.746402+1 3.796875-6 9.822344+1 3.813141-6 1.141809+2 3.825640-6 1.299036+2 3.836577-6 1.473036+2 3.846146-6 1.664863+2 3.854520-6 1.874072+2 3.861846-6 2.098433+2 3.868257-6 2.334172+2 3.873867-6 2.576558+2 3.878775-6 2.820578+2 3.883070-6 3.061509+2 3.886828-6 3.295292+2 3.893404-6 3.760790+2 3.915993-6 5.982503+2 3.922765-6 6.843677+2 3.927581-6 7.505431+2 3.932397-6 8.202470+2 3.942028-6 9.672459+2 3.943232-6 9.860461+2 3.951660-6 1.117615+3 3.954971-6 1.168300+3 3.961292-6 1.261165+3 3.964602-6 1.306851+3 3.967763-6 1.347979+3 3.970923-6 1.386264+3 3.975137-6 1.432199+3 3.979201-6 1.470208+3 3.984769-6 1.510992+3 3.989509-6 1.534428+3 3.995002-6 1.547720+3 3.999818-6 1.546746+3 4.001549-6 1.543501+3 4.006487-6 1.525954+3 4.010471-6 1.503122+3 4.014137-6 1.475632+3 4.019033-6 1.429991+3 4.023492-6 1.380464+3 4.028526-6 1.316813+3 4.033605-6 1.245895+3 4.037891-6 1.182143+3 4.042694-6 1.107853+3 4.047644-6 1.029632+3 4.052442-6 9.536073+2 4.058210-6 8.636507+2 4.064983-6 7.622469+2 4.067240-6 7.298193+2 4.077504-6 5.930513+2 4.085646-6 4.983006+2 4.094678-6 4.076996+2 4.104396-6 3.260757+2 4.112647-6 2.681049+2 4.116948-6 2.415006+2 4.123706-6 2.041030+2 4.131078-6 1.687767+2 4.138450-6 1.384873+2 4.140907-6 1.294153+2 4.149508-6 1.013940+2 4.161180-6 7.197696+1 4.171010-6 5.430157+1 4.174177-6 4.990942+1 4.177201-6 4.628809+1 4.180225-6 4.321256+1 4.182682-6 4.110702+1 4.184525-6 3.975562+1 4.186944-6 3.827352+1 4.189316-6 3.713671+1 4.191422-6 3.638603+1 4.193510-6 3.587896+1 4.194966-6 3.566353+1 4.256511-6 1.490450+2 4.270726-6 2.379451+2 4.286348-6 3.973857+2 4.293780-6 5.047028+2 4.301793-6 6.490925+2 4.308908-6 8.060126+2 4.314197-6 9.420693+2 4.319966-6 1.110761+3 4.325415-6 1.290412+3 4.328685-6 1.407890+3 4.333999-6 1.614386+3 4.339313-6 1.839779+3 4.349942-6 2.342881+3 4.351270-6 2.410127+3 4.360570-6 2.901745+3 4.364223-6 3.102267+3 4.371198-6 3.489845+3 4.376595-6 3.788299+3 4.381827-6 4.070614+3 4.387224-6 4.349006+3 4.392455-6 4.600774+3 4.397105-6 4.805293+3 4.402243-6 5.005742+3 4.403748-6 5.058771+3 4.409975-6 5.247793+3 4.414838-6 5.358572+3 4.420504-6 5.443732+3 4.424889-6 5.475889+3 4.435542-6 5.429677+3 4.439396-6 5.370608+3 4.441378-6 5.331885+3 4.448009-6 5.163609+3 4.453220-6 4.993118+3 4.458271-6 4.800105+3 4.463830-6 4.561341+3 4.469218-6 4.309245+3 4.473350-6 4.105772+3 4.477482-6 3.896362+3 4.482796-6 3.622352+3 4.488110-6 3.347736+3 4.494089-6 3.043761+3 4.500067-6 2.750478+3 4.507623-6 2.402189+3 4.513186-6 2.165436+3 4.537634-6 1.355333+3 4.545843-6 1.166226+3 4.551317-6 1.060419+3 4.556790-6 9.690318+2 4.565000-6 8.553601+2 4.567737-6 8.228761+2 4.578683-6 7.146472+2 4.584156-6 6.710092+2 4.589630-6 6.326396+2 4.595103-6 5.984615+2 4.606049-6 5.392388+2 4.633416-6 4.202933+2 4.649835-6 3.601951+2 4.680426-6 2.685358+2 4.691164-6 2.429598+2 4.701232-6 2.219501+2 4.710671-6 2.046454+2 4.719519-6 1.903048+2 4.736110-6 1.675735+2 4.750628-6 1.512569+2 4.763330-6 1.390818+2 4.785560-6 1.212659+2 4.802232-6 1.100384+2 4.852248-6 8.337922+1 4.864191-6 7.827923+1 4.876134-6 7.369718+1 4.888078-6 6.968958+1 4.900021-6 6.631543+1 4.911964-6 6.361838+1 4.917936-6 6.252873+1 4.923907-6 6.160876+1 4.929879-6 6.085221+1 4.935850-6 6.024939+1 4.941822-6 5.978716+1 4.953765-6 5.921640+1 4.971680-6 5.892867+1 4.991350-6 5.874015+1 5.003621-6 5.837766+1 5.009756-6 5.807717+1 5.020576-6 5.732244+1 5.031396-6 5.627331+1 5.043339-6 5.479954+1 5.055282-6 5.305678+1 5.067226-6 5.112934+1 5.091112-6 4.706714+1 5.132461-6 4.061663+1 5.157002-6 3.746808+1 5.181543-6 3.478002+1 5.218354-6 3.138203+1 5.270215-6 2.744401+1 5.349014-6 2.264869+1 5.466639-6 1.714970+1 5.518916-6 1.510895+1 5.558125-6 1.368664+1 5.571194-6 1.322815+1 5.630049-6 1.122298+1 5.688905-6 9.226866+0 5.702907-6 8.734784+0 5.716910-6 8.230492+0 5.730912-6 7.712780+0 5.744915-6 7.183173+0 5.758917-6 6.647588+0 5.772920-6 6.117904+0 5.792058-6 5.438920+0 5.806058-6 5.010592+0 5.815881-6 4.763726+0 5.830126-6 4.509576+0 5.844370-6 4.403756+0 5.847932-6 4.402821+0 5.858615-6 4.463177+0 5.861906-6 4.500678+0 5.867664-6 4.586969+0 5.871983-6 4.668176+0 5.878462-6 4.814401+0 5.889089-6 5.108201+0 5.912323-6 5.878001+0 5.917717-6 6.057467+0 5.928730-6 6.393870+0 5.932101-6 6.484789+0 5.944687-6 6.753879+0 5.949632-6 6.823501+0 5.959071-6 6.890990+0 5.965278-6 6.885569+0 5.971203-6 6.842464+0 5.977127-6 6.762519+0 5.983124-6 6.645242+0 5.987622-6 6.534508+0 5.994369-6 6.334733+0 6.001116-6 6.099237+0 6.007306-6 5.857156+0 6.013495-6 5.595953+0 6.016609-6 5.459298+0 6.026407-6 5.017349+0 6.043953-6 4.254715+0 6.058232-6 3.761263+0 6.069084-6 3.525854+0 6.072701-6 3.482428+0 6.074680-6 3.467087+0 6.078142-6 3.455488+0 6.088530-6 3.549579+0 6.091461-6 3.614684+0 6.101721-6 3.993464+0 6.104286-6 4.127607+0 6.106210-6 4.239240+0 6.110539-6 4.526196+0 6.115207-6 4.893509+0 6.120719-6 5.408521+0 6.127187-6 6.130917+0 6.136710-6 7.439966+0 6.152312-6 1.025414+1 6.161124-6 1.222175+1 6.168537-6 1.408572+1 6.176441-6 1.627401+1 6.182661-6 1.813164+1 6.187788-6 1.974361+1 6.195352-6 2.223735+1 6.202752-6 2.478395+1 6.209482-6 2.716224+1 6.215858-6 2.944212+1 6.222675-6 3.187684+1 6.229277-6 3.419787+1 6.234624-6 3.602783+1 6.242594-6 3.862966+1 6.248316-6 4.037551+1 6.256250-6 4.258296+1 6.263514-6 4.434761+1 6.265565-6 4.479635+1 6.279922-6 4.725829+1 6.285010-6 4.782596+1 6.294723-6 4.844409+1 6.299831-6 4.852234+1 6.304465-6 4.844795+1 6.312067-6 4.803475+1 6.318276-6 4.744138+1 6.326425-6 4.634030+1 6.334282-6 4.496815+1 6.336902-6 4.445048+1 6.344792-6 4.273277+1 6.352683-6 4.081534+1 6.356444-6 3.984552+1 6.364906-6 3.756601+1 6.367727-6 3.678398+1 6.382771-6 3.253355+1 6.385412-6 3.178705+1 6.403896-6 2.672668+1 6.418984-6 2.297458+1 6.439521-6 1.863791+1 6.451183-6 1.661068+1 6.459065-6 1.541910+1 6.466946-6 1.436592+1 6.472543-6 1.369808+1 6.479378-6 1.296784+1 6.486838-6 1.227073+1 6.494442-6 1.165823+1 6.505849-6 1.090310+1 6.511553-6 1.058959+1 6.517256-6 1.031288+1 6.525706-6 9.961352+0 6.534155-6 9.667451+0 6.549928-6 9.229960+0 6.568621-6 8.818168+0 6.589359-6 8.401189+0 6.607103-6 8.032702+0 6.628790-6 7.555473+0 6.671857-6 6.627032+0 6.687619-6 6.344977+0 6.695500-6 6.224457+0 6.703381-6 6.120617+0 6.712423-6 6.025282+0 6.720455-6 5.965166+0 6.728487-6 5.931596+0 6.737792-6 5.930640+0 6.753006-6 6.031824+0 6.762220-6 6.164517+0 6.765709-6 6.230266+0 6.781541-6 6.643346+0 6.785869-6 6.790251+0 6.798852-6 7.319698+0 6.806304-6 7.682070+0 6.816955-6 8.267739+0 6.845236-6 1.010364+1 6.855880-6 1.083931+1 6.868063-6 1.165937+1 6.877539-6 1.225497+1 6.879967-6 1.239901+1 6.896969-6 1.327543+1 6.903116-6 1.352445+1 6.914851-6 1.388219+1 6.921972-6 1.401867+1 6.928769-6 1.409001+1 6.935566-6 1.410340+1 6.944036-6 1.404023+1 6.950389-6 1.393673+1 6.959918-6 1.369706+1 6.969447-6 1.336574+1 6.981227-6 1.284920+1 6.987917-6 1.251316+1 6.994607-6 1.215308+1 7.011823-6 1.115523+1 7.026591-6 1.027281+1 7.060666-6 8.426931+0 7.073456-6 7.872404+0 7.085579-6 7.436600+0 7.090863-6 7.275230+0 7.098790-6 7.065880+0 7.106717-6 6.895059+0 7.113889-6 6.772382+0 7.124124-6 6.646179+0 7.131023-6 6.590546+0 7.141721-6 6.544704+0 7.153015-6 6.539598+0 7.175117-6 6.609799+0 7.197407-6 6.710438+0 7.218341-6 6.768572+0 7.231379-6 6.772947+0 7.251788-6 6.730660+0 7.291614-6 6.567147+0 7.307343-6 6.521387+0 7.320067-6 6.508010+0 7.328175-6 6.512800+0 7.342265-6 6.547117+0 7.354859-6 6.604398+0 7.378582-6 6.764528+0 7.413900-6 7.039020+0 7.423663-6 7.102193+0 7.441434-6 7.185339+0 7.453286-6 7.212605+0 7.465972-6 7.213924+0 7.484995-6 7.161479+0 7.502973-6 7.057465+0 7.519228-6 6.927569+0 7.542370-6 6.707197+0 7.567854-6 6.455434+0 7.593909-6 6.232343+0 7.607917-6 6.138873+0 7.620086-6 6.075955+0 7.634930-6 6.023269+0 7.642690-6 6.006061+0 7.658867-6 5.991128+0 7.677068-6 6.002527+0 7.743616-6 6.130651+0 7.764672-6 6.147272+0 7.783760-6 6.141270+0 7.815203-6 6.092672+0 7.914153-6 5.855171+0 7.948127-6 5.795590+0 8.067503-6 5.622849+0 8.140946-6 5.500732+0 8.243154-6 5.314910+0 8.307073-6 5.220020+0 8.428385-6 5.100141+0 8.794011-6 4.819673+0 9.070971-6 4.666642+0 9.264705-6 4.601229+0 9.354439-6 4.580103+0 9.700000-6 4.557008+0 9.948227-6 4.598409+0 1.025911-5 4.711513+0 1.057971-5 4.904776+0 1.091032-5 5.166856+0 1.116964-5 5.419084+0 1.159222-5 5.923749+0 1.190214-5 6.371374+0 1.231673-5 7.052128+0 1.273503-5 7.847935+0 1.322057-5 8.883370+0 1.536000-5 1.493890+1 1.621810-5 1.791102+1 1.698244-5 2.072710+1 1.758270-5 2.297880+1 1.793426-5 2.431923+1 1.843471-5 2.621729+1 1.894806-5 2.815081+1 1.939445-5 2.979690+1 1.985124-5 3.139741+1 2.052500-5 3.361910+1 2.077304-5 3.438272+1 2.160000-5 3.664938+1 2.242711-5 3.846147+1 2.325156-5 3.977826+1 2.370318-5 4.023939+1 2.430000-5 4.062502+1 2.463498-5 4.070711+1 2.554653-5 4.055109+1 2.566168-5 4.064375+1 2.661271-5 4.313890+1 2.732934-5 4.569205+1 2.812627-5 4.922724+1 2.866095-5 5.216447+1 2.929907-5 5.645387+1 2.989507-5 6.137673+1 3.037127-5 6.619513+1 3.081209-5 7.158037+1 3.119952-5 7.723080+1 3.154004-5 8.311628+1 3.185672-5 8.957901+1 3.222965-5 9.869034+1 3.256500-5 1.086193+2 3.281781-5 1.175253+2 3.311311-5 1.299658+2 3.327638-5 1.380469+2 3.341177-5 1.455641+2 3.356171-5 1.549255+2 3.367417-5 1.627903+2 3.388793-5 1.802363+2 3.408003-5 1.997203+2 3.417898-5 2.117794+2 3.426269-5 2.234567+2 3.434641-5 2.368585+2 3.443012-5 2.524259+2 3.451384-5 2.706706+2 3.459755-5 2.921297+2 3.468127-5 3.172823+2 3.476498-5 3.464271+2 3.489187-5 3.979952+2 3.504207-5 4.670826+2 3.512790-5 5.069478+2 3.521373-5 5.437265+2 3.523518-5 5.520744+2 3.529955-5 5.743052+2 3.534601-5 5.872107+2 3.540145-5 5.985569+2 3.543471-5 6.030554+2 3.548823-5 6.064747+2 3.553984-5 6.052863+2 3.555704-5 6.039388+2 3.563214-5 5.929633+2 3.565360-5 5.884759+2 3.572870-5 5.692688+2 3.584755-5 5.343405+2 3.591109-5 5.180272+2 3.596507-5 5.079692+2 3.599692-5 5.043501+2 3.602977-5 5.028164+2 3.605089-5 5.031555+2 3.607202-5 5.046255+2 3.610957-5 5.102589+2 3.614578-5 5.196499+2 3.615785-5 5.236967+2 3.620076-5 5.419911+2 3.624367-5 5.666477+2 3.630805-5 6.161107+2 3.632950-5 6.359988+2 3.636405-5 6.716091+2 3.641533-5 7.326119+2 3.650332-5 8.591924+2 3.663256-5 1.090917+3 3.672207-5 1.278897+3 3.677286-5 1.394379+3 3.686271-5 1.613848+3 3.699748-5 1.986757+3 3.710699-5 2.350153+3 3.720024-5 2.730926+3 3.725440-5 2.994927+3 3.732641-5 3.409003+3 3.738465-5 3.806490+3 3.746888-5 4.496453+3 3.763797-5 6.333018+3 3.773568-5 7.647052+3 3.783026-5 9.030839+3 3.788374-5 9.829046+3 3.792882-5 1.049285+4 3.797360-5 1.113093+4 3.801459-5 1.168523+4 3.806268-5 1.228587+4 3.810352-5 1.274301+4 3.815741-5 1.325644+4 3.820205-5 1.359340+4 3.825360-5 1.387177+4 3.828665-5 1.398405+4 3.837654-5 1.401715+4 3.840168-5 1.395503+4 3.846974-5 1.363623+4 3.850571-5 1.338375+4 3.854573-5 1.304056+4 3.857147-5 1.278816+4 3.861541-5 1.230594+4 3.865922-5 1.176966+4 3.869582-5 1.128712+4 3.874287-5 1.063143+4 3.879020-5 9.944523+3 3.883753-5 9.243553+3 3.888698-5 8.509704+3 3.892543-5 7.945903+3 3.902573-5 6.542726+3 3.905700-5 6.133399+3 3.915079-5 5.006761+3 3.924645-5 4.030092+3 3.941126-5 2.756149+3 3.950016-5 2.259610+3 3.956462-5 1.968806+3 3.962908-5 1.727177+3 3.967691-5 1.575108+3 3.973358-5 1.420488+3 3.977257-5 1.327980+3 3.982040-5 1.227805+3 3.991606-5 1.063455+3 4.001172-5 9.358021+2 4.008725-5 8.540294+2 4.016279-5 7.849169+2 4.023074-5 7.312448+2 4.029869-5 6.840183+2 4.040063-5 6.227650+2 4.050420-5 5.697587+2 4.066215-5 5.023167+2 4.081320-5 4.491493+2 4.097194-5 4.022128+2 4.117216-5 3.529620+2 4.137061-5 3.124855+2 4.167184-5 2.622692+2 4.182995-5 2.396274+2 4.227233-5 1.845336+2 4.256404-5 1.545981+2 4.267307-5 1.452336+2 4.277370-5 1.376506+2 4.289014-5 1.302075+2 4.295291-5 1.267766+2 4.304136-5 1.225827+2 4.317042-5 1.176061+2 4.330476-5 1.134548+2 4.363645-5 1.046821+2 4.381916-5 9.962050+1 4.398431-5 9.485937+1 4.424238-5 8.740582+1 4.441169-5 8.248030+1 4.460126-5 7.670401+1 4.471548-5 7.302302+1 4.480939-5 6.988820+1 4.494676-5 6.519726+1 4.523231-5 5.594740+1 4.526990-5 5.491335+1 4.533612-5 5.329414+1 4.542956-5 5.161041+1 4.548005-5 5.109763+1 4.554822-5 5.099643+1 4.558686-5 5.131072+1 4.565259-5 5.261825+1 4.570572-5 5.454492+1 4.574238-5 5.642402+1 4.578300-5 5.912051+1 4.581789-5 6.202872+1 4.584881-5 6.512438+1 4.586518-5 6.698147+1 4.590464-5 7.214235+1 4.593463-5 7.678172+1 4.595343-5 8.003959+1 4.599786-5 8.892611+1 4.602694-5 9.574615+1 4.605602-5 1.034544+2 4.610449-5 1.185171+2 4.613810-5 1.307883+2 4.617411-5 1.458131+2 4.621357-5 1.647589+2 4.629171-5 2.111458+2 4.644831-5 3.495600+2 4.653043-5 4.531565+2 4.661474-5 5.869327+2 4.668613-5 7.248078+2 4.673739-5 8.390017+2 4.677700-5 9.363936+2 4.682499-5 1.065385+3 4.689208-5 1.266329+3 4.692081-5 1.359728+3 4.704292-5 1.803966+3 4.705638-5 1.857371+3 4.715784-5 2.283660+3 4.719488-5 2.448156+3 4.726558-5 2.771200+3 4.732394-5 3.042769+3 4.738050-5 3.305930+3 4.743636-5 3.561558+3 4.748596-5 3.781530+3 4.753777-5 4.000814+3 4.759330-5 4.220041+3 4.761487-5 4.299898+3 4.768353-5 4.531066+3 4.773815-5 4.686526+3 4.779399-5 4.816066+3 4.785318-5 4.918256+3 4.789241-5 4.965048+3 4.795120-5 5.003062+3 4.799014-5 5.006870+3 4.807573-5 4.956349+3 4.812547-5 4.891311+3 4.818970-5 4.771454+3 4.825195-5 4.620490+3 4.830794-5 4.459358+3 4.835470-5 4.309204+3 4.841482-5 4.099293+3 4.847228-5 3.885249+3 4.854411-5 3.605974+3 4.861953-5 3.306941+3 4.864467-5 3.207400+3 4.877396-5 2.709647+3 4.887451-5 2.352104+3 4.901843-5 1.904763+3 4.918175-5 1.499817+3 4.924352-5 1.374538+3 4.930529-5 1.263403+3 4.936381-5 1.170219+3 4.942233-5 1.087816+3 4.948084-5 1.015175+3 4.954502-5 9.455201+2 4.965640-5 8.457526+2 4.977344-5 7.640175+2 4.989048-5 7.000399+2 5.004644-5 6.344295+2 5.018291-5 5.898441+2 5.032161-5 5.529932+2 5.040681-5 5.335204+2 5.061746-5 4.929643+2 5.072679-5 4.752029+2 5.093249-5 4.462889+2 5.126407-5 4.086883+2 5.167000-5 3.725537+2 5.217747-5 3.364273+2 5.253760-5 3.146624+2 5.282860-5 2.992570+2 5.305215-5 2.890528+2 5.322197-5 2.824260+2 5.335093-5 2.780891+2 5.350494-5 2.736915+2 5.362493-5 2.708193+2 5.384605-5 2.666227+2 5.450137-5 2.595327+2 5.583815-5 2.521994+2 5.656055-5 2.486398+2 5.840375-5 2.369603+2 6.465840-5 2.046477+2 6.839116-5 1.877667+2 7.177821-5 1.735495+2 7.575923-5 1.580267+2 7.779699-5 1.505729+2 8.020424-5 1.417581+2 8.061216-5 1.407571+2 8.187451-5 1.392445+2 8.228100-5 1.385334+2 8.304506-5 1.363805+2 8.456389-5 1.318843+2 8.901548-5 1.215828+2 9.300000-5 1.140189+2 9.605058-5 1.093321+2 9.919702-5 1.056155+2 1.032167-4 1.023988+2 1.066984-4 1.008828+2 1.098562-4 1.006615+2 1.138682-4 1.021583+2 1.178284-4 1.053762+2 1.223961-4 1.108072+2 1.262046-4 1.168464+2 1.312200-4 1.265003+2 1.358817-4 1.368802+2 1.403070-4 1.479901+2 1.469246-4 1.664252+2 1.763100-4 2.690381+2 1.850729-4 3.042716+2 1.950000-4 3.447234+2 2.055086-4 3.867673+2 2.172485-4 4.318740+2 2.280400-4 4.698176+2 2.344702-4 4.889844+2 2.374850-4 4.967213+2 2.394150-4 5.035761+2 2.408607-4 5.118450+2 2.428203-4 5.279345+2 2.449159-4 5.462809+2 2.462903-4 5.555320+2 2.479334-4 5.630688+2 2.498990-4 5.698404+2 2.522841-4 5.810446+2 2.538363-4 5.926003+2 2.575000-4 6.268099+2 2.588489-4 6.367940+2 2.605299-4 6.458242+2 2.777500-4 7.113507+2 2.884032-4 7.463295+2 3.020937-4 7.849935+2 3.194683-4 8.294197+2 3.452813-4 8.902812+2 3.676146-4 9.378338+2 3.842079-4 9.658307+2 3.945163-4 9.763713+2 4.028516-4 9.770328+2 4.051382-4 9.824729+2 4.067913-4 9.912063+2 4.083665-4 1.003616+3 4.127496-4 1.047047+3 4.139279-4 1.056652+3 4.154660-4 1.066108+3 4.175937-4 1.074010+3 4.230712-4 1.085512+3 4.427153-4 1.138030+3 4.615303-4 1.176073+3 4.735843-4 1.197972+3 4.903913-4 1.234113+3 5.011872-4 1.260797+3 5.234089-4 1.303037+3 5.523885-4 1.344350+3 5.762558-4 1.370888+3 5.888437-4 1.392765+3 6.008278-4 1.416510+3 6.273357-4 1.455580+3 6.664231-4 1.495947+3 7.136837-4 1.530281+3 7.629569-4 1.556637+3 8.129767-4 1.575536+3 8.640000-4 1.587536+3 9.245651-4 1.593060+3 9.971256-4 1.588887+3 1.074608-3 1.571737+3 1.149304-3 1.539875+3 1.228800-3 1.498542+3 1.302423-3 1.452358+3 1.369917-3 1.401876+3 1.433012-3 1.345673+3 1.491935-3 1.280575+3 1.545180-3 1.212084+3 1.591751-3 1.141895+3 1.629572-3 1.075604+3 1.658630-3 1.016639+3 1.687613-3 9.480128+2 1.711951-3 8.799867+2 1.727826-3 8.281523+2 1.743835-3 7.668815+2 1.756393-3 7.092926+2 1.766238-3 6.564038+2 1.774224-3 6.089890+2 1.788052-3 5.280139+2 1.792328-3 5.078427+2 1.794480-3 4.993924+2 1.796581-3 4.924814+2 1.798871-3 4.866376+2 1.801066-3 4.828601+2 1.802464-3 4.814502+2 1.804847-3 4.809253+2 1.807456-3 4.831624+2 1.810555-3 4.897024+2 1.813260-3 4.988017+2 1.815606-3 5.091282+2 1.817375-3 5.183073+2 1.819578-3 5.312775+2 1.822424-3 5.502333+2 1.835853-3 6.581841+2 1.838508-3 6.802112+2 1.842634-3 7.133066+2 1.846489-3 7.425349+2 1.850580-3 7.715810+2 1.855003-3 8.009731+2 1.864963-3 8.633173+2 1.877343-3 9.459313+2 1.896500-3 1.099914+3 1.901734-3 1.143964+3 1.907818-3 1.193667+3 1.916747-3 1.261511+3 1.929000-3 1.342932+3 1.947310-3 1.443996+3 1.968483-3 1.542162+3 1.995262-3 1.649074+3 2.024183-3 1.748009+3 2.050385-3 1.821672+3 2.070000-3 1.864844+3 2.089296-3 1.897263+3 2.112331-3 1.925481+3 2.140271-3 1.948151+3 2.161989-3 1.957665+3 2.188730-3 1.959585+3 2.221894-3 1.954651+3 2.236000-3 1.959548+3 2.244881-3 1.967644+3 2.258471-3 1.988556+3 2.276911-3 2.031359+3 2.309019-3 2.122611+3 2.320732-3 2.152927+3 2.334483-3 2.183229+3 2.353004-3 2.215121+3 2.378659-3 2.246873+3 2.402478-3 2.267827+3 2.427111-3 2.283255+3 2.460168-3 2.296331+3 2.527056-3 2.304493+3 2.557482-3 2.318030+3 2.598802-3 2.359331+3 2.635234-3 2.395050+3 2.660247-3 2.410874+3 2.689869-3 2.421706+3 2.744591-3 2.425375+3 2.766072-3 2.425663+3 2.798790-3 2.438154+3 2.855100-3 2.485209+3 2.880509-3 2.500926+3 2.917993-3 2.516076+3 3.006371-3 2.535005+3 3.145728-3 2.544279+3 3.311311-3 2.537223+3 3.477322-3 2.512332+3 3.752969-3 2.458029+3 3.857460-3 2.435128+3 4.271939-3 2.324261+3 4.525493-3 2.256431+3 4.919493-3 2.146792+3 5.266279-3 2.050433+3 5.726003-3 1.927433+3 6.222779-3 1.801451+3 6.479522-3 1.739171+3 7.065781-3 1.601888+3 7.365250-3 1.534564+3 7.706816-3 1.460489+3 8.005684-3 1.396696+3 8.296281-3 1.335787+3 8.546533-3 1.283325+3 8.773841-3 1.235342+3 8.976871-3 1.191675+3 9.160803-3 1.150735+3 9.314513-3 1.115435+3 9.450551-3 1.082599+3 9.571649-3 1.051342+3 9.669474-3 1.023982+3 9.747793-3 9.999863+2 9.822133-3 9.744559+2 9.880904-3 9.512759+2 9.930140-3 9.290032+2 1.000665-2 8.889495+2 1.009140-2 8.439637+2 1.013036-2 8.284635+2 1.016200-2 8.205705+2 1.019504-2 8.177565+2 1.022363-2 8.199468+2 1.025422-2 8.266190+2 1.030061-2 8.431505+2 1.038888-2 8.820152+2 1.045076-2 9.051576+2 1.048116-2 9.141050+2 1.052363-2 9.240068+2 1.057718-2 9.328524+2 1.063959-2 9.393405+2 1.071240-2 9.432831+2 1.078344-2 9.444143+2 1.086822-2 9.430517+2 1.096624-2 9.384365+2 1.104071-2 9.329046+2 1.112257-2 9.246441+2 1.120074-2 9.141875+2 1.126263-2 9.037298+2 1.145602-2 8.638519+2 1.151712-2 8.561260+2 1.156770-2 8.545399+2 1.162098-2 8.576576+2 1.180542-2 8.821642+2 1.188537-2 8.876335+2 1.202574-2 8.927466+2 1.213146-2 9.026120+2 1.233926-2 9.304426+2 1.247071-2 9.408014+2 1.265731-2 9.465903+2 1.288676-2 9.469525+2 1.318368-2 9.418953+2 1.355900-2 9.301933+2 1.403202-2 9.106551+2 1.476336-2 8.753451+2 1.562248-2 8.311666+2 1.661958-2 7.801915+2 1.786214-2 7.200484+2 1.984784-2 6.352022+2 2.229565-2 5.484763+2 2.490523-2 4.736201+2 2.748289-2 4.127065+2 3.059188-2 3.529542+2 3.411848-2 2.993596+2 3.712680-2 2.624061+2 4.027407-2 2.297499+2 4.539701-2 1.872966+2 5.109091-2 1.525359+2 5.495409-2 1.338005+2 5.870436-2 1.180814+2 6.136484-2 1.079732+2 6.352679-2 1.001206+2 6.512534-2 9.429733+1 6.621133-2 9.013916+1 6.706786-2 8.651869+1 6.742977-2 8.479479+1 6.797425-2 8.182746+1 6.865859-2 7.751911+1 6.909373-2 7.504219+1 6.938224-2 7.391869+1 6.965645-2 7.341124+1 6.990034-2 7.344662+1 7.021963-2 7.408148+1 7.111752-2 7.717326+1 7.151289-2 7.821673+1 7.201628-2 7.902180+1 7.236809-2 7.931401+1 7.321129-2 7.947377+1 7.413102-2 7.916254+1 7.592773-2 7.788352+1 7.824260-2 7.564831+1 8.134156-2 7.223613+1 8.535914-2 6.766372+1 9.164765-2 6.091162+1 1.001150-1 5.300382+1 1.076542-1 4.700444+1 1.186642-1 3.973698+1 1.376052-1 3.052479+1 1.871939-1 1.745496+1 2.238721-1 1.254266+1 2.703461-1 8.793324+0 3.450568-1 5.513173+0 4.828835-1 2.874577+0 7.307184-1 1.277689+0 1.228714+0 4.581333-1 2.341267+0 1.271299-1 7.070513+0 1.397745-2 2.135261+1 1.532983-3 6.448384+1 1.680928-4 1.947381+2 1.843107-5 5.880996+2 2.020927-6 1.995262+3 1.755709-7 6.309573+3 1.755709-8 1.995262+4 1.755709-9 6.309573+4 1.75571-10 1.000000+5 6.98960-11 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.794600-6 1.258900-6 2.844200-6 1.584900-6 4.507800-6 1.995300-6 7.144300-6 2.511900-6 1.132300-5 3.162300-6 1.794600-5 3.981100-6 2.844200-5 5.011900-6 4.507700-5 6.309600-6 7.144100-5 7.943300-6 1.132300-4 1.000000-5 1.794500-4 1.258900-5 2.844000-4 1.584900-5 4.507400-4 1.995300-5 7.143600-4 2.511900-5 1.132100-3 3.162300-5 1.794100-3 3.981100-5 2.842700-3 5.011900-5 4.504200-3 6.309600-5 7.136800-3 7.943300-5 1.129700-2 1.000000-4 1.787600-2 1.258900-4 2.828500-2 1.584900-4 4.467400-2 1.995300-4 7.047700-2 2.511900-4 1.108700-1 3.162300-4 1.736100-1 3.981100-4 2.701100-1 5.011900-4 4.156700-1 6.309600-4 6.278900-1 7.943300-4 9.261600-1 1.000000-3 1.325900+0 1.258900-3 1.834300+0 1.584900-3 2.456200+0 1.995300-3 3.210900+0 2.511900-3 4.139100+0 3.162300-3 5.281700+0 3.981100-3 6.671600+0 5.011900-3 8.336000+0 6.309600-3 1.027600+1 7.943300-3 1.243300+1 1.000000-2 1.473500+1 1.258900-2 1.716400+1 1.584900-2 1.971000+1 1.995300-2 2.229700+1 2.511900-2 2.490200+1 3.162300-2 2.720600+1 3.981100-2 2.908500+1 5.011900-2 3.045900+1 6.309600-2 3.131100+1 7.943300-2 3.164400+1 1.000000-1 3.144300+1 1.258900-1 3.074100+1 1.584900-1 2.962000+1 1.995300-1 2.818300+1 2.511900-1 2.652200+1 3.162300-1 2.472000+1 3.981100-1 2.284500+1 5.011900-1 2.095200+1 6.309600-1 1.908000+1 7.943300-1 1.725500+1 1.000000+0 1.549800+1 1.258900+0 1.384100+1 1.584900+0 1.227400+1 1.995300+0 1.081200+1 2.511900+0 9.463000+0 3.162300+0 8.230300+0 3.981100+0 7.115300+0 5.011900+0 6.117000+0 6.309600+0 5.230700+0 7.943300+0 4.451700+0 1.000000+1 3.771800+0 1.258900+1 3.182800+0 1.584900+1 2.675900+0 1.995300+1 2.242300+0 2.511900+1 1.873300+0 3.162300+1 1.560800+0 3.981100+1 1.297300+0 5.011900+1 1.075800+0 6.309600+1 8.904000-1 7.943300+1 7.355900-1 1.000000+2 6.067000-1 1.258900+2 4.996300-1 1.584900+2 4.108800-1 1.995300+2 3.374700-1 2.511900+2 2.768500-1 3.162300+2 2.268800-1 3.981100+2 1.857300-1 5.011900+2 1.519100-1 6.309600+2 1.241400-1 7.943300+2 1.013600-1 1.000000+3 8.269600-2 1.258900+3 6.742100-2 1.584900+3 5.493000-2 1.995300+3 4.472500-2 2.511900+3 3.639300-2 3.162300+3 2.959700-2 3.981100+3 2.405600-2 5.011900+3 1.954200-2 6.309600+3 1.586800-2 7.943300+3 1.287800-2 1.000000+4 1.044700-2 1.258900+4 8.470700-3 1.584900+4 6.865600-3 1.995300+4 5.562400-3 2.511900+4 4.504900-3 3.162300+4 3.647000-3 3.981100+4 2.951500-3 5.011900+4 2.387700-3 6.309600+4 1.931000-3 7.943300+4 1.561200-3 1.000000+5 1.261800-3 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510163-4 3.162278-4 3.159551-4 3.981072-4 3.976751-4 5.011872-4 5.005069-4 6.309573-4 6.298865-4 7.943282-4 7.926473-4 1.000000-3 9.973698-4 1.258925-3 1.254823-3 1.584893-3 1.578506-3 1.995262-3 1.985302-3 2.511886-3 2.496300-3 3.162278-3 3.137827-3 3.981072-3 3.942698-3 5.011872-3 4.951685-3 6.309573-3 6.215384-3 7.943282-3 7.796480-3 1.000000-2 9.772077-3 1.258925-2 1.223600-2 1.584893-2 1.530200-2 1.995262-2 1.910632-2 2.511886-2 2.381821-2 3.162278-2 2.963533-2 3.981072-2 3.679788-2 5.011872-2 4.558095-2 6.309573-2 5.631228-2 7.943282-2 6.934895-2 1.000000-1 8.514822-2 1.258925-1 1.042141-1 1.584893-1 1.271410-1 1.995262-1 1.545976-1 2.511886-1 1.873742-1 3.162278-1 2.263498-1 3.981072-1 2.725460-1 5.011872-1 3.271575-1 6.309573-1 3.916197-1 7.943282-1 4.676111-1 1.000000+0 5.571161-1 1.258925+0 6.623335-1 1.584893+0 7.865812-1 1.995262+0 9.337025-1 2.511886+0 1.108256+0 3.162278+0 1.316004+0 3.981072+0 1.563976+0 5.011872+0 1.860875+0 6.309573+0 2.217133+0 7.943282+0 2.645576+0 1.000000+1 3.162194+0 1.258925+1 3.786278+0 1.584893+1 4.541418+0 1.995262+1 5.456677+0 2.511886+1 6.567476+0 3.162278+1 7.917241+0 3.981072+1 9.559981+0 5.011872+1 1.156072+1 6.309573+1 1.400044+1 7.943282+1 1.697807+1 1.000000+2 2.061548+1 1.258925+2 2.506248+1 1.584893+2 3.050418+1 1.995262+2 3.716772+1 2.511886+2 4.533290+1 3.162278+2 5.534551+1 3.981072+2 6.763002+1 5.011872+2 8.271337+1 6.309573+2 1.012429+2 7.943282+2 1.240188+2 1.000000+3 1.520285+2 1.258925+3 1.864901+2 1.584893+3 2.289163+2 1.995262+3 2.811734+2 2.511886+3 3.455516+2 3.162278+3 4.249341+2 3.981072+3 5.228227+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739885-9 3.981072-5 4.342103-9 5.011872-5 6.881434-9 6.309573-5 1.090585-8 7.943282-5 1.727897-8 1.000000-4 2.737956-8 1.258925-4 4.338482-8 1.584893-4 6.872144-8 1.995262-4 1.088354-7 2.511886-4 1.723242-7 3.162278-4 2.726534-7 3.981072-4 4.320819-7 5.011872-4 6.803015-7 6.309573-4 1.070824-6 7.943282-4 1.680932-6 1.000000-3 2.630238-6 1.258925-3 4.102238-6 1.584893-3 6.387660-6 1.995262-3 9.960577-6 2.511886-3 1.558642-5 3.162278-3 2.445022-5 3.981072-3 3.837341-5 5.011872-3 6.018756-5 6.309573-3 9.418898-5 7.943282-3 1.468027-4 1.000000-2 2.279232-4 1.258925-2 3.532564-4 1.584893-2 5.469317-4 1.995262-2 8.463061-4 2.511886-2 1.300656-3 3.162278-2 1.987444-3 3.981072-2 3.012841-3 5.011872-2 4.537774-3 6.309573-2 6.783452-3 7.943282-2 1.008387-2 1.000000-1 1.485178-2 1.258925-1 2.167845-2 1.584893-1 3.134833-2 1.995262-1 4.492863-2 2.511886-1 6.381440-2 3.162278-1 8.987799-2 3.981072-1 1.255611-1 5.011872-1 1.740297-1 6.309573-1 2.393377-1 7.943282-1 3.267171-1 1.000000+0 4.428839-1 1.258925+0 5.965920-1 1.584893+0 7.983120-1 1.995262+0 1.061560+0 2.511886+0 1.403631+0 3.162278+0 1.846273+0 3.981072+0 2.417096+0 5.011872+0 3.150997+0 6.309573+0 4.092440+0 7.943282+0 5.297706+0 1.000000+1 6.837806+0 1.258925+1 8.802977+0 1.584893+1 1.130751+1 1.995262+1 1.449595+1 2.511886+1 1.855139+1 3.162278+1 2.370554+1 3.981072+1 3.025074+1 5.011872+1 3.855800+1 6.309573+1 4.909529+1 7.943282+1 6.245475+1 1.000000+2 7.938452+1 1.258925+2 1.008301+2 1.584893+2 1.279851+2 1.995262+2 1.623585+2 2.511886+2 2.058557+2 3.162278+2 2.608823+2 3.981072+2 3.304772+2 5.011872+2 4.184739+2 6.309573+2 5.297145+2 7.943282+2 6.703094+2 1.000000+3 8.479715+2 1.258925+3 1.072435+3 1.584893+3 1.355977+3 1.995262+3 1.714089+3 2.511886+3 2.166335+3 3.162278+3 2.737344+3 3.981072+3 3.458249+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 7.410000-6 5.202148+6 7.700000-6 5.608584+6 7.700000-6 1.166778+7 8.000000-6 1.118849+7 8.128305-6 1.102811+7 8.270000-6 1.087061+7 8.270000-6 1.363070+7 8.511380-6 1.362062+7 8.609938-6 1.363675+7 8.912509-6 1.373340+7 9.120108-6 1.385465+7 9.660509-6 1.427985+7 9.700000-6 1.431802+7 9.772372-6 1.438352+7 1.023293-5 1.486805+7 1.035142-5 1.500484+7 1.071519-5 1.542932+7 1.083927-5 1.558491+7 1.109175-5 1.590627+7 1.150000-5 1.643067+7 1.174898-5 1.675863+7 1.188502-5 1.694279+7 1.224700-5 1.741891+7 1.273503-5 1.806748+7 1.303167-5 1.844965+7 1.364583-5 1.923480+7 1.380384-5 1.942729+7 1.445440-5 2.020126+7 1.462177-5 2.038763+7 1.531087-5 2.112365+7 1.548817-5 2.129538+7 1.621810-5 2.196313+7 1.698244-5 2.252891+7 1.778279-5 2.296822+7 1.819701-5 2.310999+7 1.862087-5 2.325504+7 1.905461-5 2.331960+7 1.927525-5 2.335273+7 1.980000-5 2.333444+7 2.000000-5 2.332820+7 2.041738-5 2.323495+7 2.070000-5 2.317376+7 2.113489-5 2.299732+7 2.150000-5 2.285373+7 2.170000-5 2.273636+7 2.230000-5 2.239509+7 2.238721-5 2.232989+7 2.300000-5 2.188474+7 2.317395-5 2.176234+7 2.350000-5 2.147964+7 2.400000-5 2.106107+7 2.420000-5 2.086756+7 2.483133-5 2.027883+7 2.540973-5 1.968341+7 2.580000-5 1.929918+7 2.610000-5 1.897083+7 2.670000-5 1.834183+7 2.676700-5 1.827379+7 2.691535-5 1.811675+7 2.730000-5 1.769443+7 2.786121-5 1.710618+7 2.800000-5 1.695921+7 2.884032-5 1.606918+7 2.900000-5 1.590831+7 2.917427-5 1.572917+7 2.980000-5 1.508362+7 3.019952-5 1.469223+7 3.054921-5 1.435141+7 3.080000-5 1.410484+7 3.162278-5 1.333852+7 3.198895-5 1.300805+7 3.311311-5 1.203371+7 3.388442-5 1.141020+7 3.467369-5 1.080243+7 3.507519-5 1.051089+7 3.589219-5 9.939072+6 3.672823-5 9.385475+6 3.730000-5 9.031566+6 3.801894-5 8.604758+6 3.981072-5 7.636118+6 4.073803-5 7.185914+6 4.265795-5 6.347209+6 4.325000-5 6.112048+6 4.325000-5 6.566141+6 4.365158-5 6.426662+6 4.370000-5 6.409811+6 4.400000-5 6.304600+6 4.415704-5 6.250705+6 4.470000-5 6.067104+6 4.530000-5 5.871388+6 4.561000-5 5.772832+6 4.561000-5 6.073782+6 4.565000-5 6.062376+6 4.565000-5 1.090794+7 4.570882-5 1.088879+7 4.590000-5 1.082631+7 4.600000-5 1.079354+7 4.605000-5 1.077708+7 4.635000-5 1.066475+7 4.650000-5 1.060893+7 4.680000-5 1.048368+7 4.700000-5 1.040106+7 4.710000-5 1.035989+7 4.731513-5 1.026313+7 4.786301-5 1.002156+7 4.800000-5 9.958390+6 4.810000-5 9.912392+6 4.841724-5 9.767970+6 4.850000-5 9.730497+6 4.870000-5 9.635750+6 4.954502-5 9.248689+6 5.069907-5 8.721103+6 5.080000-5 8.676946+6 5.150000-5 8.367066+6 5.188000-5 8.204459+6 5.190000-5 8.196023+6 5.230000-5 8.029324+6 5.248075-5 7.952992+6 5.370318-5 7.458688+6 5.400000-5 7.345215+6 5.432503-5 7.220071+6 5.500000-5 6.968031+6 5.559043-5 6.758778+6 5.602000-5 6.610844+6 5.602000-5 8.759564+6 5.623413-5 8.700989+6 5.650000-5 8.627542+6 5.688529-5 8.513309+6 5.700000-5 8.480224+6 5.754399-5 8.311420+6 5.770000-5 8.263908+6 5.800000-5 8.166288+6 5.821032-5 8.099099+6 5.850000-5 8.008478+6 5.855200-5 7.991497+6 5.888437-5 7.885089+6 5.900000-5 7.847962+6 5.920000-5 7.783870+6 6.000000-5 7.524790+6 6.025596-5 7.442382+6 6.095369-5 7.226005+6 6.110000-5 7.181681+6 6.150000-5 7.058227+6 6.165950-5 7.010361+6 6.237348-5 6.803459+6 6.300000-5 6.621211+6 6.309573-5 6.594327+6 6.382635-5 6.396273+6 6.450000-5 6.217300+6 6.456542-5 6.200554+6 6.531306-5 6.014906+6 6.606934-5 5.832245+6 6.730000-5 5.559528+6 6.760830-5 5.493466+6 6.839116-5 5.335922+6 6.918310-5 5.185209+6 7.000000-5 5.039568+6 7.079458-5 4.906011+6 7.117800-5 4.845305+6 7.161434-5 4.779541+6 7.244360-5 4.660095+6 7.300000-5 4.585553+6 7.328245-5 4.548895+6 7.413102-5 4.445918+6 7.585776-5 4.258735+6 7.650000-5 4.198100+6 7.673615-5 4.177031+6 7.762471-5 4.103740+6 7.852356-5 4.036481+6 8.035261-5 3.918402+6 8.222426-5 3.828392+6 8.317638-5 3.792315+6 8.413951-5 3.761278+6 8.500000-5 3.739552+6 8.514000-5 3.736229+6 8.514000-5 3.803017+6 8.620000-5 3.779306+6 8.730000-5 3.761941+6 8.810489-5 3.753764+6 8.850000-5 3.750839+6 8.912509-5 3.748002+6 8.970000-5 3.746875+6 9.015711-5 3.747253+6 9.120108-5 3.749659+6 9.225714-5 3.757719+6 9.300000-5 3.766812+6 9.332543-5 3.771570+6 9.440609-5 3.788841+6 9.500000-5 3.800067+6 9.549926-5 3.810484+6 9.660509-5 3.834488+6 9.721800-5 3.849980+6 9.885531-5 3.897530+6 1.000000-4 3.934368+6 1.011579-4 3.973619+6 1.040000-4 4.084291+6 1.047129-4 4.114464+6 1.060000-4 4.168584+6 1.071519-4 4.219887+6 1.080000-4 4.259630+6 1.083927-4 4.278478+6 1.092100-4 4.319059+6 1.096478-4 4.340516+6 1.122018-4 4.465278+6 1.135011-4 4.533303+6 1.150000-4 4.607560+6 1.161449-4 4.666590+6 1.170000-4 4.711770+6 1.174898-4 4.738231+6 1.202264-4 4.875013+6 1.220000-4 4.967756+6 1.224700-4 4.990124+6 1.230269-4 5.016960+6 1.260000-4 5.164128+6 1.273503-4 5.225184+6 1.288250-4 5.293586+6 1.303167-4 5.364144+6 1.318257-4 5.427732+6 1.338300-4 5.513749+6 1.350000-4 5.565033+6 1.364583-4 5.620659+6 1.396368-4 5.744246+6 1.400000-4 5.758559+6 1.412538-4 5.800672+6 1.450000-4 5.929361+6 1.462177-4 5.968885+6 1.480000-4 6.021134+6 1.500000-4 6.080265+6 1.513561-4 6.120838+6 1.531087-4 6.169290+6 1.540000-4 6.191131+6 1.548817-4 6.212817+6 1.560000-4 6.240469+6 1.566751-4 6.257207+6 1.580000-4 6.290045+6 1.584893-4 6.302209+6 1.603245-4 6.343811+6 1.620000-4 6.376799+6 1.621810-4 6.380372+6 1.640590-4 6.417595+6 1.659587-4 6.455314+6 1.678804-4 6.489462+6 1.690000-4 6.509333+6 1.698244-4 6.521360+6 1.720000-4 6.553287+6 1.737801-4 6.579561+6 1.760000-4 6.607464+6 1.778279-4 6.630426+6 1.800000-4 6.650969+6 1.820000-4 6.669801+6 1.840772-4 6.684626+6 1.862087-4 6.699835+6 1.883649-4 6.708655+6 1.905461-4 6.717728+6 1.927525-4 6.721916+6 1.950000-4 6.726156+6 1.972423-4 6.724375+6 2.000000-4 6.722321+6 2.018366-4 6.717392+6 2.041738-4 6.711253+6 2.060000-4 6.702146+6 2.065380-4 6.699493+6 2.089296-4 6.687843+6 2.113489-4 6.672233+6 2.137962-4 6.656781+6 2.150000-4 6.649302+6 2.180000-4 6.624255+6 2.187762-4 6.617859+6 2.190000-4 6.616014+6 2.200000-4 6.606199+6 2.213095-4 6.593452+6 2.238721-4 6.568803+6 2.240000-4 6.567586+6 2.264644-4 6.544340+6 2.317395-4 6.485324+6 2.350000-4 6.444980+6 2.371374-4 6.418972+6 2.400000-4 6.384689+6 2.426610-4 6.348764+6 2.454709-4 6.311493+6 2.473400-4 6.284553+6 2.473400-4 6.536084+6 2.483133-4 6.522242+6 2.530000-4 6.456850+6 2.540973-4 6.441316+6 2.570396-4 6.395482+6 2.575000-4 6.388381+6 2.600160-4 6.347850+6 2.600500-4 6.347264+6 2.600500-4 6.517820+6 2.605000-4 6.510148+6 2.630268-4 6.466575+6 2.660725-4 6.413208+6 2.700000-4 6.338034+6 2.704500-4 6.329480+6 2.722701-4 6.294145+6 2.730000-4 6.280101+6 2.740000-4 6.259790+6 2.765000-4 6.208845+6 2.786121-4 6.165720+6 2.790000-4 6.157980+6 2.800000-4 6.137776+6 2.818383-4 6.098559+6 2.835000-4 6.063186+6 2.851018-4 6.029960+6 2.870000-4 5.990885+6 2.884032-4 5.962757+6 2.910000-4 5.908753+6 2.917427-4 5.893743+6 2.951209-4 5.826475+6 2.985383-4 5.757391+6 3.000000-4 5.728807+6 3.019952-4 5.690563+6 3.030000-4 5.671497+6 3.050000-4 5.634521+6 3.054921-4 5.625593+6 3.065000-4 5.606533+6 3.090295-4 5.559871+6 3.100000-4 5.542363+6 3.126079-4 5.496545+6 3.130000-4 5.489302+6 3.150000-4 5.453013+6 3.162278-4 5.431300+6 3.165000-4 5.426510+6 3.198895-4 5.368165+6 3.200000-4 5.366285+6 3.235937-4 5.307367+6 3.240000-4 5.300495+6 3.260000-4 5.267292+6 3.280000-4 5.234970+6 3.311311-4 5.185786+6 3.320000-4 5.171629+6 3.370000-4 5.093613+6 3.388442-4 5.065883+6 3.427678-4 5.008179+6 3.430000-4 5.004818+6 3.500000-4 4.903490+6 3.507519-4 4.893030+6 3.548134-4 4.834330+6 3.589219-4 4.776954+6 3.600000-4 4.762214+6 3.630781-4 4.720716+6 3.650000-4 4.695342+6 3.672823-4 4.664376+6 3.715352-4 4.608191+6 3.740000-4 4.574710+6 3.801894-4 4.492747+6 3.850000-4 4.431857+6 3.890451-4 4.379752+6 3.935501-4 4.323345+6 3.981072-4 4.265796+6 4.027170-4 4.208933+6 4.050000-4 4.181513+6 4.100000-4 4.122713+6 4.120975-4 4.097882+6 4.168694-4 4.042038+6 4.196200-4 4.009284+6 4.196200-4 4.250787+6 4.200000-4 4.246236+6 4.216965-4 4.225913+6 4.265795-4 4.168814+6 4.280200-4 4.152115+6 4.350000-4 4.073600+6 4.365158-4 4.056912+6 4.394000-4 4.024601+6 4.415704-4 4.000380+6 4.466836-4 3.944743+6 4.500000-4 3.908533+6 4.518559-4 3.888443+6 4.570882-4 3.832385+6 4.650000-4 3.751265+6 4.677351-4 3.723967+6 4.700000-4 3.700811+6 4.731513-4 3.669152+6 4.786301-4 3.613741+6 4.841724-4 3.559181+6 4.850000-4 3.551196+6 4.886100-4 3.516005+6 4.886100-4 3.568887+6 4.954502-4 3.504329+6 5.011872-4 3.450364+6 5.069907-4 3.395136+6 5.128614-4 3.341230+6 5.150000-4 3.322062+6 5.188000-4 3.288248+6 5.248075-4 3.235541+6 5.350000-4 3.148437+6 5.370318-4 3.131509+6 5.400000-4 3.106387+6 5.495409-4 3.027355+6 5.500000-4 3.023658+6 5.559043-4 2.976922+6 5.580000-4 2.960691+6 5.650000-4 2.907313+6 5.688529-4 2.877703+6 5.754399-4 2.828209+6 5.821032-4 2.778874+6 5.847000-4 2.759947+6 5.847000-4 2.825980+6 5.888437-4 2.795978+6 5.900000-4 2.787719+6 5.956621-4 2.747427+6 6.000000-4 2.717335+6 6.095369-4 2.653464+6 6.100000-4 2.650389+6 6.165950-4 2.606935+6 6.237348-4 2.559725+6 6.309573-4 2.513628+6 6.320000-4 2.507086+6 6.382635-4 2.468427+6 6.456542-4 2.423820+6 6.531306-4 2.379662+6 6.606934-4 2.335722+6 6.700000-4 2.282840+6 6.760830-4 2.249173+6 6.839116-4 2.206694+6 6.918310-4 2.165069+6 7.000000-4 2.123583+6 7.079458-4 2.084584+6 7.161434-4 2.044224+6 7.328245-4 1.965385+6 7.413102-4 1.927393+6 7.498942-4 1.890315+6 7.500000-4 1.889866+6 7.585776-4 1.853583+6 7.673615-4 1.816837+6 7.943282-4 1.710227+6 8.000000-4 1.689006+6 8.035261-4 1.675883+6 8.128305-4 1.641900+6 8.222426-4 1.608715+6 8.317638-4 1.575945+6 8.413951-4 1.543590+6 8.511380-4 1.511685+6 8.609938-4 1.480204+6 8.709636-4 1.449501+6 8.810489-4 1.419507+6 8.912509-4 1.390139+6 9.015711-4 1.360968+6 9.120108-4 1.331898+6 9.225714-4 1.303542+6 9.332543-4 1.275848+6 9.440609-4 1.248844+6 9.549926-4 1.222502+6 9.660509-4 1.196592+6 9.700000-4 1.187447+6 9.772372-4 1.170808+6 9.885531-4 1.145465+6 1.011579-3 1.096187+6 1.035142-3 1.048972+6 1.047129-3 1.025980+6 1.059254-3 1.003533+6 1.070000-3 9.841321+5 1.071519-3 9.814280+5 1.083927-3 9.596707+5 1.096478-3 9.382616+5 1.110000-3 9.160635+5 1.122018-3 8.968416+5 1.135011-3 8.767947+5 1.161449-3 8.381567+5 1.174898-3 8.193236+5 1.188502-3 8.007719+5 1.190000-3 7.987712+5 1.202264-3 7.824510+5 1.224700-3 7.539644+5 1.230269-3 7.471538+5 1.240000-3 7.354897+5 1.244515-3 7.301760+5 1.258925-3 7.134904+5 1.273503-3 6.971462+5 1.288250-3 6.811922+5 1.297180-3 6.717052+5 1.318257-3 6.499967+5 1.333521-3 6.348842+5 1.348963-3 6.201612+5 1.396368-3 5.779238+5 1.400000-3 5.748289+5 1.412538-3 5.643441+5 1.428894-3 5.510875+5 1.462177-3 5.254673+5 1.479108-3 5.130325+5 1.513561-3 4.890337+5 1.531087-3 4.773805+5 1.566751-3 4.548476+5 1.584893-3 4.439746+5 1.590000-3 4.409649+5 1.603245-3 4.333055+5 1.621810-3 4.229161+5 1.640590-3 4.127957+5 1.650000-3 4.078162+5 1.678804-3 3.930758+5 1.717908-3 3.742373+5 1.730000-3 3.686741+5 1.757924-3 3.562187+5 1.778279-3 3.475456+5 1.798871-3 3.390224+5 1.816200-3 3.320978+5 1.816200-3 9.631781+5 1.840772-3 9.438598+5 1.862087-3 9.276653+5 1.881100-3 9.135685+5 1.881100-3 1.160605+6 1.883649-3 1.161174+6 1.905461-3 1.167112+6 1.927525-3 1.175214+6 1.929000-3 1.175829+6 1.940000-3 1.179056+6 1.951000-3 1.178879+6 1.978000-3 1.172042+6 2.000000-3 1.161671+6 2.018366-3 1.149594+6 2.030000-3 1.140335+6 2.041738-3 1.130055+6 2.044000-3 1.128098+6 2.050000-3 1.121977+6 2.065380-3 1.102833+6 2.070000-3 1.097165+6 2.089296-3 1.072277+6 2.113489-3 1.042165+6 2.187762-3 9.566651+5 2.213095-3 9.296001+5 2.238721-3 9.033141+5 2.271200-3 8.714470+5 2.271200-3 1.006714+6 2.290868-3 9.867132+5 2.300000-3 9.776178+5 2.317395-3 9.606015+5 2.344229-3 9.349367+5 2.355000-3 9.249045+5 2.398833-3 8.850686+5 2.415000-3 8.710040+5 2.426610-3 8.611860+5 2.450000-3 8.418931+5 2.454709-3 8.380557+5 2.483133-3 8.152500+5 2.540973-3 7.715431+5 2.567800-3 7.521619+5 2.567800-3 7.977792+5 2.600160-3 7.748244+5 2.609000-3 7.687232+5 2.630268-3 7.542661+5 2.650000-3 7.412116+5 2.660725-3 7.342501+5 2.691535-3 7.147619+5 2.722701-3 6.955368+5 2.740000-3 6.851931+5 2.786121-3 6.586413+5 2.796500-3 6.528759+5 2.796500-3 6.808664+5 2.800000-3 6.789057+5 2.818383-3 6.687304+5 2.851018-3 6.510240+5 2.884032-3 6.338109+5 2.900000-3 6.257275+5 2.917427-3 6.170787+5 2.920000-3 6.158114+5 2.951209-3 6.006416+5 2.985383-3 5.845242+5 3.019952-3 5.688010+5 3.054921-3 5.535264+5 3.090295-3 5.386651+5 3.126079-3 5.242258+5 3.150000-3 5.148633+5 3.198895-3 4.963051+5 3.273407-3 4.698589+5 3.311311-3 4.571024+5 3.388442-3 4.326854+5 3.400000-3 4.291754+5 3.427678-3 4.208728+5 3.467369-3 4.093705+5 3.507519-3 3.981422+5 3.548134-3 3.872370+5 3.589219-3 3.766459+5 3.672823-3 3.563313+5 3.715352-3 3.466131+5 3.720000-3 3.455696+5 3.758374-3 3.370794+5 3.801894-3 3.277885+5 3.845918-3 3.187547+5 3.935501-3 3.012577+5 3.981072-3 2.928852+5 4.000000-3 2.895074+5 4.027170-3 2.847276+5 4.120975-3 2.689641+5 4.216965-3 2.540757+5 4.265795-3 2.469614+5 4.315191-3 2.400485+5 4.365158-3 2.333129+5 4.415704-3 2.267702+5 4.466836-3 2.204088+5 4.518559-3 2.142103+5 4.570882-3 2.081928+5 4.677351-3 1.966872+5 4.800000-3 1.845532+5 4.841724-3 1.806095+5 4.897788-3 1.754478+5 4.954502-3 1.704377+5 5.069907-3 1.608544+5 5.188000-3 1.518334+5 5.248075-3 1.474976+5 5.370318-3 1.391743+5 5.432503-3 1.351954+5 5.495409-3 1.313365+5 5.500000-3 1.310612+5 5.559043-3 1.275768+5 5.623413-3 1.239137+5 5.688529-3 1.203574+5 5.754399-3 1.169085+5 5.888437-3 1.103131+5 6.025596-3 1.041087+5 6.095369-3 1.011147+5 6.165950-3 9.818158+4 6.300000-3 9.293664+4 6.309573-3 9.257670+4 6.382635-3 8.989198+4 6.531306-3 8.476493+4 6.606934-3 8.231622+4 6.683439-3 7.992707+4 6.760830-3 7.761041+4 6.839116-3 7.536230+4 6.918310-3 7.317629+4 7.000000-3 7.100741+4 7.079458-3 6.897609+4 7.161434-3 6.696496+4 7.244360-3 6.501272+4 7.413102-3 6.128558+4 7.498942-3 5.950580+4 7.500000-3 5.948431+4 7.585776-3 5.777238+4 7.673615-3 5.608129+4 7.852356-3 5.283993+4 7.943282-3 5.128832+4 8.000000-3 5.035249+4 8.035261-3 4.978297+4 8.128305-3 4.832385+4 8.222426-3 4.690969+4 8.317638-3 4.553447+4 8.413951-3 4.420049+4 8.511380-3 4.290027+4 8.609938-3 4.163912+4 8.810489-3 3.922185+4 8.912509-3 3.806435+4 9.015711-3 3.693822+4 9.120108-3 3.584699+4 9.332543-3 3.376484+4 9.500000-3 3.224259+4 9.549926-3 3.180608+4 9.660509-3 3.086281+4 9.772372-3 2.994833+4 9.885531-3 2.906128+4 1.000000-2 2.819890+4 1.011579-2 2.736060+4 1.020600-2 2.672990+4 1.020600-2 7.021281+4 1.023293-2 6.972129+4 1.035142-2 6.761461+4 1.040000-2 6.677648+4 1.047129-2 6.566087+4 1.050000-2 6.521898+4 1.059254-2 6.371032+4 1.080000-2 6.050014+4 1.083927-2 5.991671+4 1.096478-2 5.810337+4 1.109175-2 5.634302+4 1.135011-2 5.298220+4 1.150000-2 5.112766+4 1.157300-2 5.025622+4 1.157300-2 6.946046+4 1.161449-2 6.883705+4 1.173500-2 6.707096+4 1.174898-2 6.685725+4 1.180000-2 6.608514+4 1.188502-2 6.486435+4 1.195000-2 6.395238+4 1.202264-2 6.292924+4 1.207700-2 6.217838+4 1.207700-2 7.192513+4 1.216186-2 7.063589+4 1.222000-2 6.976922+4 1.258925-2 6.471363+4 1.260000-2 6.457435+4 1.273503-2 6.285067+4 1.288250-2 6.104090+4 1.290000-2 6.082953+4 1.303167-2 5.928562+4 1.318257-2 5.758366+4 1.333521-2 5.591384+4 1.335000-2 5.575573+4 1.364583-2 5.269029+4 1.380384-2 5.115001+4 1.412538-2 4.819911+4 1.428894-2 4.678995+4 1.445440-2 4.542248+4 1.462177-2 4.410104+4 1.479108-2 4.280757+4 1.496236-2 4.155281+4 1.500000-2 4.128405+4 1.513561-2 4.033596+4 1.531087-2 3.914656+4 1.548817-2 3.799285+4 1.566751-2 3.687345+4 1.580000-2 3.607156+4 1.584893-2 3.578122+4 1.603245-2 3.472016+4 1.621810-2 3.369143+4 1.640590-2 3.269387+4 1.659587-2 3.172669+4 1.678804-2 3.078306+4 1.698244-2 2.986357+4 1.717908-2 2.897187+4 1.737801-2 2.810729+4 1.757924-2 2.726924+4 1.778279-2 2.645691+4 1.800000-2 2.562685+4 1.819701-2 2.490388+4 1.840772-2 2.416206+4 1.862087-2 2.344088+4 1.883649-2 2.274166+4 1.905461-2 2.206382+4 1.927525-2 2.140656+4 1.949845-2 2.076848+4 1.950000-2 2.076414+4 1.972423-2 2.014669+4 2.018366-2 1.894668+4 2.041738-2 1.837399+4 2.065380-2 1.781836+4 2.089296-2 1.727986+4 2.113489-2 1.675794+4 2.137962-2 1.625212+4 2.187762-2 1.528696+4 2.230000-2 1.452939+4 2.238721-2 1.437843+4 2.290868-2 1.352008+4 2.317395-2 1.311074+4 2.344229-2 1.271336+4 2.371374-2 1.232832+4 2.426610-2 1.159384+4 2.454709-2 1.124096+4 2.483133-2 1.089900+4 2.500000-2 1.070292+4 2.511886-2 1.056663+4 2.570396-2 9.929704+3 2.630268-2 9.331631+3 2.660725-2 9.046229+3 2.691535-2 8.769554+3 2.722701-2 8.501567+3 2.786121-2 7.989211+3 2.818383-2 7.744980+3 2.851018-2 7.507176+3 2.884032-2 7.276821+3 2.917427-2 7.053660+3 2.951209-2 6.837472+3 3.000000-2 6.541246+3 3.019952-2 6.425036+3 3.090295-2 6.037511+3 3.126079-2 5.850342+3 3.162278-2 5.669112+3 3.235937-2 5.323714+3 3.273407-2 5.159154+3 3.311311-2 4.999800+3 3.349654-2 4.845451+3 3.427678-2 4.551194+3 3.467369-2 4.410862+3 3.507519-2 4.274933+3 3.548134-2 4.142632+3 3.589219-2 4.014525+3 3.630781-2 3.890359+3 3.672823-2 3.769556+3 3.715352-2 3.652591+3 3.758374-2 3.539334+3 3.801894-2 3.429160+3 3.845918-2 3.322494+3 3.935501-2 3.119206+3 4.000000-2 2.983398+3 4.027170-2 2.928592+3 4.120975-2 2.748788+3 4.168694-2 2.663044+3 4.216965-2 2.580035+3 4.265795-2 2.499614+3 4.315191-2 2.421751+3 4.365158-2 2.346362+3 4.415704-2 2.273146+3 4.466836-2 2.202253+3 4.570882-2 2.067148+3 4.677351-2 1.940059+3 4.731513-2 1.879492+3 4.841724-2 1.763300+3 4.897788-2 1.707916+3 5.011872-2 1.602390+3 5.069907-2 1.552111+3 5.188000-2 1.456333+3 5.248075-2 1.410721+3 5.370318-2 1.323813+3 5.495409-2 1.242183+3 5.500000-2 1.239321+3 5.623413-2 1.165637+3 5.688529-2 1.128821+3 5.754399-2 1.093148+3 5.821032-2 1.058625+3 5.956621-2 9.928568+2 6.025596-2 9.615492+2 6.165950-2 9.018885+2 6.237348-2 8.734877+2 6.531306-2 7.686817+2 6.683439-2 7.211547+2 6.760830-2 6.983639+2 6.968900-2 6.416388+2 6.968900-2 3.262224+3 7.000000-2 3.218511+3 7.040000-2 3.169447+3 7.079458-2 3.129207+3 7.080000-2 3.128659+3 7.135000-2 3.062813+3 7.161434-2 3.035719+3 7.244360-2 2.952910+3 7.413102-2 2.774737+3 7.498942-2 2.695520+3 7.730000-2 2.497449+3 7.762471-2 2.469985+3 7.943282-2 2.324445+3 8.000000-2 2.281236+3 8.035261-2 2.254894+3 8.317638-2 2.058310+3 8.511380-2 1.936902+3 8.609938-2 1.878921+3 8.810489-2 1.768943+3 9.015711-2 1.665429+3 9.440609-2 1.476291+3 9.549926-2 1.432477+3 9.660509-2 1.389915+3 9.772372-2 1.348622+3 1.000000-1 1.267879+3 1.023293-1 1.191985+3 1.035142-1 1.155762+3 1.047129-1 1.120641+3 1.071519-1 1.053583+3 1.083927-1 1.021577+3 1.096478-1 9.905475+2 1.161449-1 8.490147+2 1.202264-1 7.739432+2 1.230269-1 7.276289+2 1.244515-1 7.055204+2 1.258925-1 6.840869+2 1.273503-1 6.630696+2 1.303167-1 6.229577+2 1.318257-1 6.038226+2 1.333521-1 5.852777+2 1.348963-1 5.673024+2 1.364583-1 5.498812+2 1.412538-1 5.007682+2 1.428894-1 4.853992+2 1.462177-1 4.560709+2 1.513561-1 4.153453+2 1.531088-1 4.025961+2 1.548817-1 3.902398+2 1.566751-1 3.782637+2 1.603245-1 3.554017+2 1.621810-1 3.444948+2 1.659587-1 3.236772+2 1.678804-1 3.137467+2 1.717908-1 2.947933+2 1.737801-1 2.857510+2 1.757924-1 2.769868+2 1.819701-1 2.522938+2 1.862087-1 2.370693+2 1.927525-1 2.159401+2 2.000000-1 1.954406+2 2.041738-1 1.848341+2 2.089296-1 1.736890+2 2.098150-1 1.717173+2 2.113489-1 1.683734+2 2.137962-1 1.632208+2 2.238721-1 1.441481+2 2.264644-1 1.397394+2 2.317395-1 1.313227+2 2.371374-1 1.234917+2 2.398833-1 1.197533+2 2.426610-1 1.161286+2 2.454709-1 1.126150+2 2.483133-1 1.092081+2 2.511886-1 1.059053+2 2.600160-1 9.658842+1 2.630268-1 9.367215+1 2.754229-1 8.286124+1 2.786121-1 8.035990+1 2.800000-1 7.930419+1 2.818383-1 7.795001+1 2.851018-1 7.562356+1 2.884032-1 7.336655+1 2.917427-1 7.117710+1 2.951209-1 6.905398+1 3.019952-1 6.499680+1 3.054921-1 6.305862+1 3.090295-1 6.117827+1 3.126079-1 5.937754+1 3.162278-1 5.762999+1 3.198895-1 5.593725+1 3.311311-1 5.115188+1 3.349654-1 4.964962+1 3.388442-1 4.819218+1 3.467369-1 4.540483+1 3.507519-1 4.407226+1 3.548134-1 4.277896+1 3.589219-1 4.152417+1 3.630781-1 4.032670+1 3.672823-1 3.916381+1 3.715352-1 3.803504+1 3.801894-1 3.587802+1 3.845918-1 3.484636+1 3.890451-1 3.384452+1 3.935501-1 3.287148+1 3.981072-1 3.192655+1 4.027170-1 3.100919+1 4.073803-1 3.011821+1 4.120975-1 2.926937+1 4.168694-1 2.844445+1 4.216965-1 2.764282+1 4.265795-1 2.686422+1 4.315191-1 2.610792+1 4.365158-1 2.537446+1 4.415705-1 2.466175+1 4.466836-1 2.396938+1 4.518559-1 2.329649+1 4.570882-1 2.264248+1 4.623810-1 2.200686+1 4.731513-1 2.081285+1 4.786301-1 2.024039+1 4.841724-1 1.968396+1 4.897788-1 1.914325+1 4.954502-1 1.861769+1 5.011872-1 1.810776+1 5.188000-1 1.666030+1 5.248075-1 1.620401+1 5.308844-1 1.576994+1 5.370318-1 1.534750+1 5.432503-1 1.493665+1 5.495409-1 1.453699+1 5.623413-1 1.377008+1 5.688529-1 1.340282+1 5.754399-1 1.304535+1 5.888437-1 1.235878+1 5.956621-1 1.203651+1 6.000000-1 1.183776+1 6.025596-1 1.172281+1 6.095369-1 1.141750+1 6.165950-1 1.112020+1 6.237348-1 1.083084+1 6.382635-1 1.027454+1 6.456542-1 1.000786+1 6.531306-1 9.748108+0 6.606935-1 9.495105+0 6.683439-1 9.254442+0 6.760830-1 9.020016+0 6.839117-1 8.791566+0 6.918310-1 8.568906+0 6.998420-1 8.351887+0 7.079458-1 8.140522+0 7.161434-1 7.934508+0 7.244360-1 7.733710+0 7.328245-1 7.538602+0 7.413102-1 7.348438+0 7.498942-1 7.167361+0 7.673615-1 6.818538+0 7.762471-1 6.650549+0 7.852356-1 6.486700+0 8.035261-1 6.171220+0 8.128305-1 6.019284+0 8.222427-1 5.871518+0 8.317638-1 5.730992+0 8.511380-1 5.460055+0 8.609938-1 5.329445+0 8.709636-1 5.202078+0 8.810489-1 5.077757+0 8.912509-1 4.956519+0 9.015711-1 4.838245+0 9.120108-1 4.723153+0 9.225714-1 4.613952+0 9.332543-1 4.507366+0 9.549926-1 4.301579+0 9.660509-1 4.202304+0 9.772372-1 4.105337+0 9.885531-1 4.010706+0 1.000000+0 3.918339+0 1.011579+0 3.828401+0 1.023293+0 3.742740+0 1.047129+0 3.577150+0 1.059254+0 3.497128+0 1.071519+0 3.418899+0 1.083927+0 3.342464+0 1.096478+0 3.267742+0 1.109175+0 3.194738+0 1.122018+0 3.123379+0 1.135011+0 3.053656+0 1.148154+0 2.985494+0 1.161449+0 2.918854+0 1.174898+0 2.853870+0 1.188502+0 2.791797+0 1.202264+0 2.731072+0 1.216186+0 2.671705+0 1.230269+0 2.613637+0 1.244515+0 2.556831+0 1.250000+0 2.535461+0 1.258925+0 2.501265+0 1.273503+0 2.446903+0 1.288250+0 2.393765+0 1.318257+0 2.290992+0 1.333521+0 2.241442+0 1.348963+0 2.194181+0 1.364583+0 2.147923+0 1.396368+0 2.058313+0 1.445440+0 1.930859+0 1.462177+0 1.890200+0 1.479108+0 1.850397+0 1.500000+0 1.803043+0 1.513561+0 1.773377+0 1.584893+0 1.632372+0 1.640590+0 1.534038+0 1.659587+0 1.502625+0 1.678804+0 1.471856+0 1.698244+0 1.441827+0 1.717908+0 1.413386+0 1.757924+0 1.358197+0 1.778279+0 1.331418+0 1.798871+0 1.305171+0 1.819701+0 1.279441+0 1.840772+0 1.254249+0 1.862087+0 1.229553+0 1.883649+0 1.205448+0 1.905461+0 1.182735+0 1.927525+0 1.160464+0 1.949845+0 1.138611+0 1.972423+0 1.117176+0 2.000000+0 1.091862+0 2.018366+0 1.075527+0 2.041738+0 1.055300+0 2.044000+0 1.053375+0 2.065380+0 1.035507+0 2.089296+0 1.016099+0 2.113489+0 9.974496-1 2.213095+0 9.262328-1 2.344229+0 8.443196-1 2.371374+0 8.288276-1 2.398833+0 8.136220-1 2.454709+0 7.840424-1 2.483133+0 7.696607-1 2.511886+0 7.555874-1 2.540973+0 7.417786-1 2.630268+0 7.027850-1 2.754229+0 6.539631-1 2.786121+0 6.422973-1 2.818383+0 6.308412-1 2.851018+0 6.195897-1 2.884032+0 6.085407-1 2.917427+0 5.977342-1 2.951209+0 5.871282-1 3.019952+0 5.672172-1 3.090295+0 5.479819-1 3.126079+0 5.386120-1 3.162278+0 5.294023-1 3.198895+0 5.203523-1 3.273407+0 5.027838-1 3.311311+0 4.942242-1 3.349654+0 4.858154-1 3.388442+0 4.775495-1 3.507519+0 4.542679-1 3.589219+0 4.393810-1 3.630781+0 4.321227-1 3.672823+0 4.249844-1 3.715352+0 4.179656-1 3.801894+0 4.043286-1 3.845918+0 3.976785-1 3.890451+0 3.911419-1 3.935501+0 3.847125-1 4.073803+0 3.665670-1 4.168694+0 3.549481-1 4.216965+0 3.492785-1 4.265795+0 3.436994-1 4.315191+0 3.382094-1 4.365158+0 3.328084-1 4.466836+0 3.223045-1 4.518559+0 3.171781-1 4.570882+0 3.121362-1 4.623810+0 3.071745-1 4.786301+0 2.931569-1 4.897788+0 2.841691-1 4.954502+0 2.797799-1 5.011872+0 2.754584-1 5.069907+0 2.712037-1 5.128614+0 2.670155-1 5.308844+0 2.548807-1 5.370318+0 2.509599-1 5.432503+0 2.471017-1 5.495409+0 2.433028-1 5.688529+0 2.325513-1 5.821032+0 2.256489-1 5.888437+0 2.222754-1 5.956621+0 2.189525-1 6.025596+0 2.156792-1 6.095369+0 2.124555-1 6.309573+0 2.031057-1 6.382635+0 2.000817-1 6.456542+0 1.971046-1 6.531306+0 1.941716-1 6.760830+0 1.858620-1 6.918310+0 1.805207-1 7.000000+0 1.778575-1 7.079458+0 1.753338-1 7.161434+0 1.727965-1 7.244360+0 1.702964-1 7.585776+0 1.606875-1 7.673615+0 1.583714-1 7.762471+0 1.560900-1 7.852356+0 1.538414-1 8.222427+0 1.453777-1 8.413951+0 1.413222-1 8.511380+0 1.393374-1 8.609938+0 1.373804-1 8.709636+0 1.354509-1 8.810489+0 1.335485-1 8.912509+0 1.316731-1 9.000000+0 1.301078-1 9.440609+0 1.227136-1 9.549926+0 1.209963-1 9.660509+0 1.193041-1 9.772372+0 1.176355-1 1.011579+1 1.128958-1 1.035142+1 1.098425-1 1.047129+1 1.083472-1 1.059254+1 1.068723-1 1.071519+1 1.054175-1 1.083927+1 1.039827-1 1.100000+1 1.021836-1 1.148154+1 9.712189-2 1.161449+1 9.580515-2 1.174898+1 9.450690-2 1.188502+1 9.322632-2 1.244515+1 8.838532-2 1.288250+1 8.492030-2 1.300000+1 8.403231-2 1.318257+1 8.268641-2 1.333521+1 8.159165-2 1.364583+1 7.944529-2 1.380384+1 7.839355-2 1.412538+1 7.633819-2 1.462177+1 7.335586-2 1.479108+1 7.238794-2 1.500000+1 7.122654-2 1.513561+1 7.049113-2 1.584893+1 6.692809-2 1.621810+1 6.521469-2 1.640590+1 6.437450-2 1.659587+1 6.354527-2 1.678804+1 6.272672-2 1.698244+1 6.191870-2 1.737801+1 6.033378-2 1.757924+1 5.955669-2 1.778279+1 5.879157-2 1.819701+1 5.729141-2 1.883649+1 5.511268-2 1.905461+1 5.440505-2 1.949845+1 5.301754-2 1.972423+1 5.233712-2 2.089296+1 4.913027-2 2.137962+1 4.790323-2 2.162719+1 4.730124-2 2.200000+1 4.642163-2 2.213095+1 4.612004-2 2.238721+1 4.554056-2 2.317395+1 4.384539-2 2.344229+1 4.329455-2 2.426610+1 4.168770-2 2.511886+1 4.014049-2 2.540973+1 3.963764-2 2.600160+1 3.865115-2 2.630268+1 3.816717-2 2.660725+1 3.768936-2 2.818383+1 3.542896-2 2.917427+1 3.413832-2 2.951209+1 3.371865-2 3.019952+1 3.289480-2 3.054921+1 3.249046-2 3.090295+1 3.209109-2 3.126079+1 3.169663-2 3.273407+1 3.016666-2 3.311311+1 2.979671-2 3.388442+1 2.907070-2 3.467369+1 2.836238-2 3.507519+1 2.801475-2 3.589219+1 2.733247-2 3.630781+1 2.699758-2 3.672823+1 2.666688-2 3.845918+1 2.540632-2 4.027170+1 2.420535-2 4.073803+1 2.391408-2 4.120975+1 2.362633-2 4.216965+1 2.306121-2 4.265795+1 2.278374-2 4.365158+1 2.223877-2 4.415704+1 2.197120-2 4.677351+1 2.068085-2 4.731513+1 2.043243-2 4.897788+1 1.970519-2 5.188000+1 1.855018-2 5.248075+1 1.832749-2 5.495409+1 1.746319-2 5.623413+1 1.704645-2 5.688529+1 1.684187-2 6.165950+1 1.549461-2 6.531306+1 1.459878-2 6.606934+1 1.442593-2 6.760830+1 1.408637-2 6.839116+1 1.391960-2 6.918310+1 1.375480-2 6.998420+1 1.359196-2 7.328245+1 1.295963-2 7.413102+1 1.280646-2 7.585776+1 1.250562-2 8.035261+1 1.178410-2 8.222427+1 1.150736-2 8.609938+1 1.097324-2 8.810489+1 1.071555-2 8.912509+1 1.058901-2 1.000000+2 9.415925-3 1.096478+2 8.571745-3 1.109175+2 8.471687-3 1.148154+2 8.178489-3 1.174898+2 7.988684-3 1.188502+2 7.895444-3 1.216186+2 7.712207-3 1.318257+2 7.103726-3 1.348963+2 6.939043-3 1.396368+2 6.699203-3 1.531087+2 6.099378-3 1.584893+2 5.888598-3 1.678804+2 5.553364-3 1.737801+2 5.361454-3 1.778279+2 5.237230-3 1.995262+2 4.662275-3 2.187762+2 4.248100-3 2.213095+2 4.198986-3 2.290868+2 4.055028-3 2.344229+2 3.961809-3 2.371374+2 3.916006-3 2.426610+2 3.825984-3 2.630268+2 3.526891-3 2.691535+2 3.445866-3 2.786121+2 3.327821-3 3.054921+2 3.032430-3 3.162278+2 2.928559-3 3.349654+2 2.763288-3 3.467369+2 2.668636-3 3.548134+2 2.607347-3 3.981072+2 2.322679-3 4.365158+2 2.117490-3 4.415704+2 2.093151-3 4.570882+2 2.021799-3 4.677351+2 1.975588-3 4.731513+2 1.952879-3 4.841724+2 1.908243-3 5.248075+2 1.759899-3 5.370318+2 1.719694-3 5.559043+2 1.661108-3 6.095369+2 1.514452-3 6.309573+2 1.462863-3 6.683439+2 1.380757-3 1.380384+3 6.668489-4 1.412538+3 6.516179-4 1.584893+3 5.807130-4 1.737801+3 5.295856-4 1.757924+3 5.235196-4 1.819701+3 5.057358-4 3.715352+3 2.475893-4 3.758374+3 2.447534-4 3.845918+3 2.391787-4 4.168694+3 2.206485-4 4.265795+3 2.156237-4 4.415704+3 2.083006-4 9.660509+3 9.518186-5 1.000000+4 9.194932-5 1.059254+4 8.680385-5 1.000000+5 9.186955-6 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 7.410000-6 7.410000-6 7.700000-6 7.410000-6 7.700000-6 7.560600-6 8.270000-6 7.529851-6 8.270000-6 7.679724-6 2.170000-5 7.754079-6 4.265795-5 7.781137-6 4.325000-5 7.781185-6 4.325000-5 1.023409-5 4.415704-5 1.050773-5 4.561000-5 1.086960-5 4.561000-5 1.259096-5 4.565000-5 1.260927-5 4.565000-5 2.728674-5 4.650000-5 2.772572-5 4.731513-5 2.802658-5 4.870000-5 2.838077-5 5.080000-5 2.872801-5 5.602000-5 2.923293-5 5.602000-5 3.580379-5 5.754399-5 3.641106-5 5.920000-5 3.685687-5 6.237348-5 3.741636-5 7.585776-5 3.910423-5 8.514000-5 4.053210-5 8.514000-5 4.131549-5 9.660509-5 4.274362-5 1.047129-4 4.347415-5 1.150000-4 4.403883-5 1.288250-4 4.439830-5 1.548817-4 4.458044-5 2.473400-4 4.451666-5 2.473400-4 4.625300-5 2.600500-4 4.626063-5 2.600500-4 4.743617-5 2.800000-4 4.721928-5 3.019952-4 4.695777-5 3.200000-4 4.705900-5 3.430000-4 4.755881-5 3.801894-4 4.882655-5 4.196200-4 5.036592-5 4.196200-4 5.493740-5 4.886100-4 5.804997-5 4.886100-4 5.923938-5 5.847000-4 6.326984-5 5.847000-4 6.574224-5 6.839116-4 6.960749-5 8.000000-4 7.352661-5 9.225714-4 7.700573-5 1.071519-3 8.058115-5 1.240000-3 8.393825-5 1.428894-3 8.706797-5 1.650000-3 9.010705-5 1.816200-3 9.204417-5 1.816200-3 1.342629-4 1.881100-3 1.349938-4 1.881100-3 1.428536-4 1.951000-3 1.454412-4 2.018366-3 1.468995-4 2.070000-3 1.472902-4 2.271200-3 1.473183-4 2.271200-3 1.575397-4 2.567800-3 1.588020-4 2.567800-3 1.642180-4 2.796500-3 1.656410-4 2.796500-3 1.707226-4 3.589219-3 1.762507-4 4.677351-3 1.822910-4 6.025596-3 1.881546-4 7.673615-3 1.937139-4 9.772372-3 1.991589-4 1.020600-2 2.001039-4 1.020600-2 2.603657-4 1.157300-2 2.612408-4 1.157300-2 2.759271-4 1.207700-2 2.762794-4 1.207700-2 2.954125-4 1.737801-2 3.031946-4 2.483133-2 3.109206-4 3.467369-2 3.181881-4 4.731513-2 3.248809-4 6.531306-2 3.314221-4 6.968900-2 3.326636-4 6.968900-2 3.065129-4 1.757924-1 3.083696-4 5.011872-1 3.095542-4 1.000000+5 3.097937-4 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.410000-6 0.0 2.600500-4 0.0 2.600500-4 8.60001-10 2.704500-4 8.93056-10 2.740000-4 8.94911-10 2.765000-4 8.92149-10 2.790000-4 8.84254-10 2.818383-4 8.70562-10 2.951209-4 7.91308-10 3.000000-4 7.67790-10 3.054921-4 7.47772-10 3.090295-4 7.38925-10 3.130000-4 7.33374-10 3.165000-4 7.32502-10 3.200000-4 7.34927-10 3.240000-4 7.41531-10 3.280000-4 7.52448-10 3.320000-4 7.67098-10 3.370000-4 7.90521-10 3.430000-4 8.24924-10 3.507519-4 8.78976-10 3.600000-4 9.53771-10 3.672823-4 1.018835-9 3.740000-4 1.082213-9 3.850000-4 1.192682-9 3.981072-4 1.330852-9 4.168694-4 1.536424-9 4.196200-4 1.568176-9 4.196200-4 2.758474-9 4.786301-4 3.512952-9 4.886100-4 3.635098-9 4.886100-4 4.349204-9 5.248075-4 4.838465-9 5.688529-4 5.414675-9 5.847000-4 5.614326-9 5.847000-4 6.496517-9 6.456542-4 7.284784-9 7.000000-4 7.944693-9 7.585776-4 8.607072-9 8.035261-4 9.092712-9 8.709636-4 9.760832-9 9.549926-4 1.051912-8 1.035142-3 1.117707-8 1.110000-3 1.174548-8 1.202264-3 1.238588-8 1.318257-3 1.311604-8 1.479108-3 1.401079-8 1.650000-3 1.483225-8 1.816200-3 1.554367-8 1.816200-3 1.536043-8 1.881100-3 1.544589-8 1.881100-3 5.575663-6 1.905461-3 6.083568-6 1.929000-3 6.597519-6 1.940000-3 6.817846-6 1.951000-3 7.064474-6 1.978000-3 7.549517-6 2.000000-3 7.853768-6 2.030000-3 8.153418-6 2.044000-3 8.262003-6 2.050000-3 8.293184-6 2.070000-3 8.318965-6 2.271200-3 8.283044-6 2.271200-3 8.139133-6 2.567800-3 8.074612-6 2.567800-3 8.917816-6 2.796500-3 8.967368-6 2.796500-3 9.116295-6 3.126079-3 9.194628-6 4.216965-3 9.385181-6 5.888437-3 9.589559-6 8.035261-3 9.772006-6 1.020600-2 9.906857-6 1.020600-2 1.449531-3 1.150000-2 1.445930-3 1.157300-2 1.445496-3 1.157300-2 1.967542-3 1.207700-2 1.972096-3 1.207700-2 2.056900-3 1.603245-2 2.076927-3 2.426610-2 2.091044-3 4.570882-2 2.095498-3 6.968900-2 2.092915-3 6.968900-2 4.911327-2 8.609938-2 4.955624-2 1.083927-1 4.993334-2 1.548817-1 5.029569-2 2.630268-1 5.058748-2 7.328245-1 5.095689-2 1.244515+0 5.108607-2 1.000000+5 5.107268-2 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.410000-6 0.0 7.700000-6 2.900000-7 7.700000-6 1.394000-7 8.270000-6 7.401491-7 8.270000-6 5.902761-7 9.772372-6 2.083669-6 1.905461-5 1.131074-5 4.325000-5 3.546882-5 4.325000-5 3.301591-5 4.561000-5 3.474040-5 4.561000-5 3.301904-5 4.565000-5 3.304073-5 4.565000-5 1.836326-5 4.635000-5 1.869373-5 4.731513-5 1.928855-5 4.850000-5 2.015833-5 4.954502-5 2.100377-5 5.190000-5 2.304821-5 5.602000-5 2.678707-5 5.602000-5 2.021621-5 5.700000-5 2.077047-5 5.850000-5 2.181097-5 6.025596-5 2.318875-5 6.382635-5 2.620999-5 7.413102-5 3.526555-5 8.514000-5 4.460790-5 8.514000-5 4.382451-5 9.721800-5 5.440953-5 1.080000-4 6.430777-5 1.230269-4 7.874046-5 1.584893-4 1.139028-4 2.473400-4 2.028233-4 2.473400-4 2.010870-4 2.600500-4 2.137894-4 2.600500-4 2.126130-4 3.200000-4 2.729403-4 4.196200-4 3.692525-4 4.196200-4 3.646798-4 4.886100-4 4.305564-4 4.886100-4 4.293663-4 5.847000-4 5.214245-4 5.847000-4 5.189513-4 9.225714-4 8.455554-4 1.603245-3 1.513724-3 1.816200-3 1.724140-3 1.816200-3 1.681922-3 1.881100-3 1.746091-3 1.881100-3 1.732671-3 2.070000-3 1.914391-3 2.271200-3 2.115599-3 2.271200-3 2.105521-3 2.567800-3 2.400924-3 2.567800-3 2.394664-3 2.796500-3 2.621892-3 2.796500-3 2.616661-3 1.020600-2 9.995989-3 1.020600-2 8.496103-3 1.157300-2 9.866263-3 1.157300-2 9.329531-3 1.207700-2 9.828624-3 1.207700-2 9.724687-3 2.951209-2 2.710352-2 6.968900-2 6.726342-2 6.968900-2 2.026922-2 7.040000-2 2.098604-2 7.244360-2 2.292390-2 7.498942-2 2.540992-2 8.035261-2 3.061416-2 1.047129-1 5.451557-2 1.678804-1 1.172132-1 3.388442+0 3.337066+0 1.000000+5 9.999995+4 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 6.968900-2 2.620585+3 7.000000-2 2.584801+3 7.040000-2 2.545740+3 7.080000-2 2.514740+3 7.135000-2 2.462040+3 7.244360-2 2.377150+3 7.413102-2 2.234839+3 7.730000-2 2.017060+3 8.609938-2 1.523593+3 9.772372-2 1.099196+3 1.258925-1 5.613070+2 2.317395-1 1.086681+2 2.800000-1 6.572700+1 3.090295-1 5.074504+1 3.589219-1 3.447840+1 4.073803-1 2.502918+1 4.623810-1 1.830580+1 5.248075-1 1.349182+1 5.888437-1 1.029937+1 6.606935-1 7.920052+0 7.413102-1 6.135062+0 8.222427-1 4.906113+0 9.120108-1 3.950062+0 1.011579+0 3.203683+0 1.174898+0 2.388775+0 1.333521+0 1.875947+0 1.513561+0 1.483945+0 1.698244+0 1.206462+0 1.883649+0 1.008686+0 2.089296+0 8.502677-1 2.540973+0 6.207182-1 2.951209+0 4.912957-1 3.388442+0 3.995859-1 3.935501+0 3.219046-1 4.623810+0 2.570282-1 5.495409+0 2.035823-1 6.531306+0 1.624732-1 7.852356+0 1.287263-1 9.772372+0 9.843077-2 1.188502+1 7.800685-2 1.513561+1 5.898314-2 1.972423+1 4.379263-2 2.660725+1 3.153623-2 3.672823+1 2.231348-2 5.688529+1 1.409216-2 8.912509+1 8.860216-3 1.778279+2 4.382286-3 3.548134+2 2.181918-3 1.412538+3 5.452438-4 1.000000+5 7.688100-6 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 6.968900-2 3.001100-4 1.000000+5 3.001100-4 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.968900-2 6.062600-2 1.000000+5 6.062600-2 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 6.968900-2 8.762890-3 1.000000+5 9.999994+4 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.207700-2 9.746744+3 1.222000-2 9.509608+3 1.260000-2 9.037420+3 1.290000-2 8.668940+3 1.335000-2 8.202980+3 1.445440-2 7.109989+3 1.566751-2 6.180849+3 1.659587-2 5.563204+3 1.840772-2 4.576702+3 1.950000-2 4.098900+3 2.426610-2 2.656374+3 2.722701-2 2.093383+3 3.090295-2 1.605114+3 3.630781-2 1.131610+3 4.027170-2 8.996217+2 4.731513-2 6.245802+2 5.623413-2 4.181788+2 6.683439-2 2.772985+2 8.000000-2 1.790996+2 9.549926-2 1.154653+2 1.161449-1 7.051301+1 1.462177-1 3.913451+1 2.600160-1 8.861887+0 3.162278-1 5.382607+0 3.715352-1 3.594601+0 4.315191-1 2.488873+0 4.954502-1 1.785848+0 5.623413-1 1.327284+0 6.382635-1 9.938314-1 7.244360-1 7.497979-1 8.128305-1 5.845168-1 9.015711-1 4.703318-1 1.000000+0 3.811269-1 1.161449+0 2.839912-1 1.318257+0 2.228883-1 1.500000+0 1.754124-1 1.678804+0 1.431700-1 1.862087+0 1.195939-1 2.044000+0 1.024409-1 2.483133+0 7.484477-2 2.884032+0 5.917540-2 3.198895+0 5.058117-2 3.715352+0 4.063200-2 4.365158+0 3.235307-2 5.128614+0 2.595546-2 6.095369+0 2.065303-2 7.244360+0 1.655398-2 8.912509+0 1.279899-2 1.083927+1 1.010761-2 1.380384+1 7.620625-3 1.757924+1 5.789172-3 2.344229+1 4.208338-3 3.273407+1 2.932499-3 4.677351+1 2.010330-3 7.328245+1 1.259788-3 1.318257+2 6.905018-4 2.630268+2 3.429102-4 5.248075+2 1.710562-4 4.168694+3 2.145004-5 1.000000+5 8.937600-7 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.207700-2 4.174700-4 1.000000+5 4.174700-4 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.207700-2 2.597900-3 1.000000+5 2.597900-3 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.207700-2 9.061630-3 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.157300-2 1.920424+4 1.173500-2 1.867651+4 1.180000-2 1.841100+4 1.195000-2 1.788500+4 1.288250-2 1.479200+4 1.513561-2 9.721200+3 1.678804-2 7.356400+3 1.927525-2 5.035500+3 2.230000-2 3.368000+3 2.818383-2 1.729400+3 3.507519-2 9.150400+2 4.365158-2 4.786700+2 5.370318-2 2.568300+2 6.760830-2 1.276300+2 1.412538-1 1.334613+1 1.757924-1 6.870008+0 2.137962-1 3.820498+0 2.511886-1 2.373141+0 2.917427-1 1.536505+0 3.349654-1 1.036393+0 3.801894-1 7.275982-1 4.265795-1 5.310158-1 4.786301-1 3.902473-1 5.370318-1 2.889484-1 6.000000-1 2.179732-1 6.683439-1 1.670045-1 7.413102-1 1.302311-1 8.609938-1 9.181766-2 9.225714-1 7.858484-2 9.885531-1 6.770215-2 1.071519+0 5.738853-2 1.174898+0 4.784358-2 1.288250+0 4.015250-2 1.445440+0 3.251327-2 1.698244+0 2.434350-2 1.883649+0 2.034602-2 2.065380+0 1.747463-2 2.511886+0 1.275409-2 2.917427+0 1.008961-2 3.311311+0 8.340391-3 3.845918+0 6.711449-3 4.518559+0 5.353040-3 5.370318+0 4.235364-3 6.382635+0 3.376729-3 7.673615+0 2.672876-3 9.549926+0 2.042086-3 1.161449+1 1.616983-3 1.479108+1 1.221818-3 1.905461+1 9.181835-4 2.540973+1 6.689179-4 3.507519+1 4.727877-4 5.188000+1 3.130421-4 8.035261+1 1.988482-4 1.531087+2 1.029223-4 3.054921+2 5.117949-5 6.095369+2 2.554469-5 9.660509+3 1.606118-6 1.000000+5 1.551200-7 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.157300-2 3.143600-4 1.000000+5 3.143600-4 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.157300-2 3.333700-3 1.000000+5 3.333700-3 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.157300-2 7.924940-3 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.020600-2 4.348291+4 1.040000-2 4.133438+4 1.050000-2 4.040640+4 1.135011-2 3.275031+4 1.318257-2 2.165259+4 1.462177-2 1.614576+4 1.659587-2 1.119292+4 1.972423-2 6.768595+3 2.500000-2 3.324784+3 3.090295-2 1.735335+3 3.758374-2 9.419687+2 4.570882-2 5.066120+2 5.623413-2 2.604215+2 7.079458-2 1.232782+2 1.428894-1 1.231028+1 1.757924-1 6.268760+0 2.089296-1 3.598364+0 2.426610-1 2.240120+0 2.786121-1 1.456954+0 3.162278-1 9.896637-1 3.548134-1 7.014514-1 3.981072-1 5.009930-1 4.415705-1 3.727030-1 4.897788-1 2.793376-1 5.432503-1 2.109524-1 6.000000-1 1.623583-1 6.606935-1 1.269152-1 7.244360-1 1.009610-1 8.317638-1 7.235886-2 8.912509-1 6.151660-2 9.549926-1 5.265554-2 1.011579+0 4.655410-2 1.096478+0 3.949256-2 1.202264+0 3.297511-2 1.318257+0 2.772901-2 1.479108+0 2.250315-2 1.717908+0 1.721170-2 1.905461+0 1.439517-2 2.113489+0 1.213932-2 2.540973+0 9.028598-3 2.951209+0 7.146455-3 3.388442+0 5.812520-3 3.935501+0 4.682588-3 4.623810+0 3.738907-3 5.495409+0 2.961348-3 6.531306+0 2.363370-3 7.852356+0 1.872462-3 9.772372+0 1.431799-3 1.188502+1 1.134713-3 1.513561+1 8.579939-4 1.972423+1 6.370222-4 2.630268+1 4.645008-4 3.630781+1 3.285647-4 5.623413+1 2.074693-4 8.810489+1 1.304165-4 1.737801+2 6.525234-5 3.467369+2 3.248225-5 1.380384+3 8.116314-6 1.000000+5 1.118300-7 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.020600-2 2.974100-4 1.000000+5 2.974100-4 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.020600-2 2.334500-3 1.000000+5 2.334500-3 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.020600-2 7.574090-3 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.796500-3 2.799057+4 2.920000-3 2.686140+4 3.388442-3 2.205770+4 3.589219-3 2.028886+4 4.415704-3 1.489875+4 4.800000-3 1.311710+4 5.248075-3 1.134233+4 6.300000-3 8.365180+3 7.161434-3 6.686087+3 8.222426-3 5.226175+3 9.885531-3 3.718378+3 1.150000-2 2.787600+3 1.318257-2 2.137068+3 1.548817-2 1.550286+3 1.840772-2 1.089776+3 2.187762-2 7.595795+2 2.570396-2 5.382399+2 3.000000-2 3.841880+2 3.507519-2 2.713565+2 4.120975-2 1.882435+2 4.841724-2 1.296666+2 5.688529-2 8.866765+1 6.760830-2 5.857392+1 8.035261-2 3.842166+1 9.772372-2 2.360787+1 1.230269-1 1.319723+1 1.566751-1 7.113247+0 2.483133-1 2.172788+0 3.090295-1 1.245398+0 3.672823-1 8.081134-1 4.216965-1 5.754764-1 4.841724-1 4.127424-1 5.495409-1 3.064316-1 6.165950-1 2.352372-1 6.998420-1 1.772239-1 7.852356-1 1.379543-1 8.810489-1 1.080378-1 9.772372-1 8.733454-2 1.122018+0 6.645428-2 1.273503+0 5.205862-2 1.445440+0 4.107667-2 1.640590+0 3.263248-2 1.819701+0 2.721318-2 2.000000+0 2.322397-2 2.483133+0 1.638060-2 2.884032+0 1.294904-2 3.198895+0 1.106775-2 3.715352+0 8.890701-3 4.365158+0 7.079275-3 5.128614+0 5.679462-3 6.095369+0 4.519129-3 7.244360+0 3.622197-3 8.912509+0 2.800651-3 1.083927+1 2.211673-3 1.380384+1 1.667479-3 1.778279+1 1.250494-3 2.344229+1 9.208454-4 3.311311+1 6.338018-4 4.731513+1 4.346112-4 7.413102+1 2.723991-4 1.348963+2 1.475882-4 2.691535+2 7.331054-5 5.370318+2 3.657266-5 4.265795+3 4.586580-6 1.000000+5 1.955700-7 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.796500-3 2.892500-4 1.000000+5 2.892500-4 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.796500-3 1.259000-5 1.000000+5 1.259000-5 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.796500-3 2.494660-3 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 2.567800-3 4.561731+4 2.609000-3 4.497532+4 2.740000-3 4.265040+4 2.985383-3 3.856898+4 3.126079-3 3.634650+4 3.400000-3 3.234920+4 3.758374-3 2.796069+4 4.120975-3 2.424689+4 4.466836-3 2.124618+4 4.841724-3 1.845836+4 5.559043-3 1.440113+4 6.025596-3 1.236316+4 6.918310-3 9.418599+3 7.500000-3 7.990780+3 8.609938-3 5.971366+3 9.500000-3 4.821060+3 1.096478-2 3.493819+3 1.216186-2 2.748631+3 1.380384-2 2.036439+3 1.584893-2 1.454535+3 1.800000-2 1.058410+3 2.018366-2 7.905216+2 2.317395-2 5.518636+2 2.660725-2 3.823666+2 3.090295-2 2.548937+2 3.589219-2 1.686245+2 4.216965-2 1.072066+2 5.011872-2 6.545256+1 6.025596-2 3.835997+1 7.413102-2 2.085827+1 9.660509-2 9.492358+0 1.659587-1 1.883278+0 2.000000-1 1.083624+0 2.630268-1 4.927646-1 2.951209-1 3.519318-1 3.388442-1 2.385421-1 3.845918-1 1.681431-1 4.365158-1 1.193897-1 4.897788-1 8.806539-2 5.495409-1 6.542906-2 6.095369-1 5.041830-2 6.760830-1 3.913284-2 7.498942-1 3.058593-2 8.609938-1 2.219945-2 9.332543-1 1.853968-2 1.000000+0 1.599844-2 1.096478+0 1.326850-2 1.202264+0 1.108117-2 1.333521+0 9.117052-3 1.584893+0 6.664239-3 1.778279+0 5.434741-3 1.949845+0 4.646261-3 2.371374+0 3.381855-3 2.786121+0 2.620728-3 3.090295+0 2.235736-3 3.589219+0 1.792826-3 4.168694+0 1.448284-3 4.897788+0 1.159490-3 5.821032+0 9.207234-4 6.918310+0 7.365728-4 8.413951+0 5.766269-4 1.035142+1 4.482121-4 1.288250+1 3.465030-4 1.640590+1 2.626668-4 2.162719+1 1.929978-4 2.951209+1 1.375801-4 4.120975+1 9.639991-5 6.606934+1 5.886103-5 1.109175+2 3.456516-5 2.213095+2 1.713672-5 4.415704+2 8.542966-6 1.757924+3 2.137143-6 1.000000+5 3.751700-8 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 2.567800-3 2.535200-4 1.000000+5 2.535200-4 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.567800-3 2.282100-5 1.000000+5 2.282100-5 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.567800-3 2.291459-3 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.271200-3 1.352669+5 2.355000-3 1.291791+5 2.415000-3 1.242922+5 2.454709-3 1.214975+5 2.691535-3 1.057709+5 2.917427-3 9.274134+4 3.400000-3 7.149840+4 3.720000-3 6.088720+4 4.000000-3 5.316880+4 4.800000-3 3.724536+4 5.188000-3 3.179552+4 6.025596-3 2.318347+4 6.606934-3 1.897114+4 7.585776-3 1.390788+4 8.413951-3 1.094354+4 9.549926-3 8.103429+3 1.080000-2 6.002400+3 1.216186-2 4.461538+3 1.380384-2 3.226819+3 1.580000-2 2.264976+3 1.800000-2 1.596944+3 2.041738-2 1.131195+3 2.317395-2 7.945904+2 2.630268-2 5.545810+2 3.000000-2 3.792376+2 3.427678-2 2.563680+2 4.000000-2 1.616404+2 4.677351-2 1.004961+2 5.500000-2 6.098000+1 6.531306-2 3.563442+1 7.943282-2 1.918438+1 1.023293-1 8.535962+0 1.678804-1 1.742925+0 2.041738-1 9.360579-1 2.398833-1 5.648596-1 2.754229-1 3.689014-1 3.126079-1 2.513685-1 3.507519-1 1.785580-1 3.935501-1 1.277531-1 4.365158-1 9.517053-2 4.841724-1 7.139135-2 5.370318-1 5.395441-2 5.956621-1 4.108883-2 6.606935-1 3.153445-2 7.328245-1 2.439426-2 8.511380-1 1.703148-2 9.120108-1 1.451413-2 9.660509-1 1.277266-2 1.023293+0 1.130737-2 1.109175+0 9.601787-3 1.216186+0 8.025316-3 1.348963+0 6.612446-3 1.678804+0 4.458798-3 1.862087+0 3.722989-3 2.041738+0 3.194438-3 2.511886+0 2.287739-3 2.917427+0 1.809533-3 3.273407+0 1.521473-3 3.801894+0 1.223630-3 4.466836+0 9.754221-4 5.308844+0 7.713493-4 6.309573+0 6.146746-4 7.585776+0 4.863076-4 9.440609+0 3.713864-4 1.148154+1 2.939455-4 1.462177+1 2.220282-4 1.883649+1 1.667950-4 2.511886+1 1.214797-4 3.467369+1 8.583216-5 5.188000+1 5.614190-5 8.035261+1 3.566127-5 1.531087+2 1.845826-5 3.054921+2 9.178773-6 6.095369+2 4.581257-6 9.660509+3 2.880536-7 1.000000+5 2.782000-8 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.271200-3 2.233900-4 1.000000+5 2.233900-4 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.271200-3 7.212000-6 1.000000+5 7.212000-6 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.271200-3 2.040598-3 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.881100-3 2.470361+5 1.929000-3 2.962706+5 1.951000-3 3.181113+5 1.978000-3 3.380279+5 2.000000-3 3.485662+5 2.018366-3 3.533611+5 2.030000-3 3.552438+5 2.044000-3 3.561203+5 2.050000-3 3.555271+5 2.070000-3 3.487468+5 2.187762-3 3.035358+5 2.450000-3 2.271540+5 2.691535-3 1.773884+5 2.951209-3 1.383538+5 3.273407-3 1.037832+5 3.715352-3 7.233578+4 4.027170-3 5.722083+4 4.800000-3 3.381368+4 5.248075-3 2.570728+4 6.095369-3 1.610303+4 6.839116-3 1.114090+4 7.673615-3 7.668713+3 8.912509-3 4.670690+3 1.000000-2 3.166896+3 1.135011-2 2.052632+3 1.318257-2 1.218570+3 1.531087-2 7.169809+2 1.778279-2 4.183323+2 2.089296-2 2.321007+2 2.426610-2 1.332856+2 2.851018-2 7.278949+1 3.349654-2 3.947313+1 4.027170-2 1.946757+1 5.011872-2 8.343299+0 1.035142-1 4.914718-1 1.273503-1 2.202733-1 1.513561-1 1.136520-1 1.757924-1 6.449429-2 2.041738-1 3.687756-2 2.317395-1 2.311556-2 2.600160-1 1.522868-2 2.951209-1 9.694243-3 3.311311-1 6.477723-3 3.672823-1 4.537091-3 4.073803-1 3.199725-3 4.518559-1 2.273118-3 5.011872-1 1.627346-3 5.495409-1 1.216990-3 6.000000-1 9.288541-4 6.531306-1 7.219744-4 7.161434-1 5.535632-4 8.709636-1 3.193673-4 9.225714-1 2.734507-4 9.660509-1 2.429899-4 1.011579+0 2.173565-4 1.059254+0 1.958526-4 1.109175+0 1.776791-4 1.174898+0 1.585535-4 1.258925+0 1.394848-4 1.364583+0 1.208427-4 1.513561+0 1.011470-4 1.778279+0 7.595280-5 1.949845+0 6.487267-5 2.344229+0 4.809312-5 2.754229+0 3.725087-5 3.090295+0 3.121351-5 3.589219+0 2.502932-5 4.168694+0 2.021901-5 4.897788+0 1.618756-5 5.821032+0 1.285470-5 6.918310+0 1.028324-5 8.413951+0 8.050280-6 1.035142+1 6.257618-6 1.300000+1 4.786800-6 1.659587+1 3.619680-6 2.200000+1 2.644300-6 3.054921+1 1.850614-6 4.265795+1 1.297740-6 6.839116+1 7.928983-7 1.174898+2 4.550386-7 2.344229+2 2.257275-7 4.677351+2 1.125579-7 3.715352+3 1.410587-8 1.000000+5 5.23780-10 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.881100-3 1.719200-4 1.000000+5 1.719200-4 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.881100-3 2.613800-5 1.000000+5 2.613800-5 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.881100-3 1.683042-3 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.816200-3 6.310803+5 1.940000-3 5.841012+5 2.018366-3 5.322067+5 2.317395-3 3.722707+5 2.540973-3 2.916626+5 2.818383-3 2.200389+5 3.150000-3 1.611684+5 3.467369-3 1.223101+5 3.845918-3 9.040168+4 4.315191-3 6.387898+4 4.841724-3 4.493498+4 5.500000-3 3.010974+4 6.095369-3 2.170122+4 7.000000-3 1.383396+4 7.852356-3 9.449422+3 8.810489-3 6.411611+3 1.011579-2 3.990951+3 1.135011-2 2.670146+3 1.273503-2 1.776759+3 1.462177-2 1.081581+3 1.698244-2 6.262050+2 1.972423-2 3.594748+2 2.290868-2 2.046627+2 2.630268-2 1.208671+2 3.019952-2 7.095813+1 3.589219-2 3.619063+1 4.315191-2 1.750432+1 5.370318-2 7.327100+0 8.511380-2 1.155363+0 1.096478-1 4.192960-1 1.318257-1 2.020180-1 1.531088-1 1.123818-1 1.757924-1 6.586474-2 2.000000-1 4.029036-2 2.371374-1 2.141228-2 2.630268-1 1.467545-2 2.917427-1 1.013130-2 3.198895-1 7.337277-3 3.507519-1 5.349970-3 3.845918-1 3.928855-3 4.168694-1 3.017920-3 4.570882-1 2.248865-3 5.011872-1 1.688284-3 5.495409-1 1.276268-3 6.000000-1 9.849150-4 6.531306-1 7.738832-4 7.079458-1 6.198122-4 7.673615-1 4.996038-4 8.709636-1 3.578007-4 9.225714-1 3.094772-4 9.660509-1 2.770686-4 1.011579+0 2.495016-4 1.071519+0 2.204950-4 1.135011+0 1.961164-4 1.216186+0 1.715958-4 1.318257+0 1.478961-4 1.778279+0 8.700926-5 1.949845+0 7.434498-5 2.344229+0 5.512025-5 2.754229+0 4.269303-5 3.090295+0 3.577316-5 3.589219+0 2.868581-5 4.168694+0 2.317305-5 4.897788+0 1.855280-5 5.821032+0 1.473275-5 6.918310+0 1.178548-5 8.413951+0 9.226404-6 1.035142+1 7.171768-6 1.300000+1 5.486100-6 1.659587+1 4.148557-6 2.200000+1 3.030600-6 3.019952+1 2.147421-6 4.216965+1 1.505471-6 6.760830+1 9.196353-7 1.148154+2 5.339134-7 2.290868+2 2.647996-7 4.570882+2 1.320187-7 1.819701+3 3.303324-8 1.000000+5 6.00300-10 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.816200-3 1.564800-4 1.000000+5 1.564800-4 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.816200-3 1.526400-8 1.000000+5 1.526400-8 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.816200-3 1.659705-3 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 5.847000-4 6.603300+4 6.320000-4 6.243978+4 6.760830-4 5.911149+4 7.000000-4 5.757520+4 7.943282-4 5.170355+4 8.413951-4 4.903169+4 9.120108-4 4.500551+4 1.047129-3 3.865541+4 1.135011-3 3.513369+4 1.318257-3 2.904763+4 1.462177-3 2.531362+4 1.678804-3 2.084860+4 1.883649-3 1.763464+4 2.187762-3 1.405499+4 2.483133-3 1.152247+4 2.900000-3 8.962400+3 3.427678-3 6.776082+3 4.027170-3 5.132474+3 4.800000-3 3.761480+3 5.754399-3 2.705451+3 6.839116-3 1.962402+3 8.222426-3 1.383159+3 9.885531-3 9.677987+2 1.188502-2 6.721446+2 1.428894-2 4.632493+2 1.717908-2 3.167473+2 2.065380-2 2.148237+2 2.454709-2 1.481624+2 2.917427-2 1.014368+2 3.467369-2 6.893365+1 4.120975-2 4.649306+1 4.897788-2 3.111911+1 5.821032-2 2.067289+1 7.000000-2 1.325046+1 8.317638-2 8.679756+0 1.023293-1 5.173615+0 1.303167-1 2.804852+0 1.603245-1 1.650074+0 2.483133-1 5.351962-1 3.090295-1 3.068629-1 3.672823-1 1.991574-1 4.216965-1 1.418428-1 4.841724-1 1.017417-1 5.495409-1 7.554129-2 6.165950-1 5.799464-2 6.998420-1 4.369654-2 7.852356-1 3.401606-2 8.810489-1 2.663806-2 9.772372-1 2.153261-2 1.122018+0 1.638441-2 1.273503+0 1.283471-2 1.445440+0 1.012744-2 1.640590+0 8.046068-3 1.819701+0 6.710018-3 2.000000+0 5.726002-3 2.454709+0 4.112991-3 2.851018+0 3.249885-3 3.162278+0 2.776012-3 3.672823+0 2.228681-3 4.315191+0 1.773611-3 5.069907+0 1.422177-3 6.025596+0 1.131000-3 7.161434+0 9.061236-4 8.810489+0 7.003017-4 1.071519+1 5.528048-4 1.364583+1 4.166207-4 1.737801+1 3.163847-4 2.317395+1 2.299139-4 3.273407+1 1.581962-4 4.677351+1 1.084564-4 7.328245+1 6.796277-5 1.318257+2 3.725179-5 2.630268+2 1.849974-5 5.248075+2 9.228214-6 4.168694+3 1.157220-6 1.000000+5 4.821700-8 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 5.847000-4 1.690800-4 1.000000+5 1.690800-4 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 5.847000-4 4.336900-8 1.000000+5 4.336900-8 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 5.847000-4 4.155766-4 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 4.886100-4 5.288260+4 5.650000-4 5.262125+4 6.531306-4 5.161247+4 6.918310-4 5.087631+4 7.500000-4 4.952240+4 8.035261-4 4.813166+4 8.709636-4 4.619494+4 9.225714-4 4.460684+4 9.885531-4 4.246958+4 1.083927-3 3.944344+4 1.174898-3 3.672705+4 1.273503-3 3.392343+4 1.412538-3 3.035689+4 1.531087-3 2.767304+4 1.678804-3 2.470803+4 1.862087-3 2.159476+4 2.041738-3 1.902284+4 2.290868-3 1.610152+4 2.540973-3 1.375260+4 2.851018-3 1.145364+4 3.198895-3 9.460182+3 3.589219-3 7.755562+3 4.027170-3 6.311346+3 4.518559-3 5.099610+3 5.069907-3 4.092785+3 5.754399-3 3.188908+3 6.531306-3 2.465454+3 7.413102-3 1.891941+3 8.511380-3 1.405522+3 9.772372-3 1.035099+3 1.109175-2 7.760881+2 1.258925-2 5.777449+2 1.428894-2 4.270850+2 1.621810-2 3.134203+2 1.862087-2 2.219922+2 2.113489-2 1.607437+2 2.426610-2 1.122120+2 2.786121-2 7.778333+1 3.235937-2 5.190240+1 3.758374-2 3.437739+1 4.415704-2 2.189332+1 5.188000-2 1.384292+1 6.237348-2 8.132605+0 7.762471-2 4.288769+0 1.000000-1 2.025367+0 1.621810-1 4.806117-1 2.041738-1 2.438844-1 2.454709-1 1.427335-1 2.884032-1 8.997344-2 3.349654-1 5.905301-2 3.801894-1 4.163167-2 4.315191-1 2.956086-2 4.841724-1 2.180347-2 5.432503-1 1.619778-2 6.025596-1 1.247833-2 6.683439-1 9.679201-3 7.413102-1 7.559168-3 8.609938-1 5.339139-3 9.332543-1 4.458620-3 1.000000+0 3.847578-3 1.096478+0 3.191272-3 1.202264+0 2.665102-3 1.333521+0 2.192718-3 1.584893+0 1.602882-3 1.778279+0 1.307185-3 1.949845+0 1.117647-3 2.371374+0 8.137371-4 2.786121+0 6.305623-4 3.090295+0 5.378973-4 3.589219+0 4.313272-4 4.168694+0 3.484359-4 4.897788+0 2.789657-4 5.821032+0 2.215220-4 6.918310+0 1.772133-4 8.413951+0 1.387338-4 1.035142+1 1.078366-4 1.288250+1 8.336522-5 1.640590+1 6.319480-5 2.162719+1 4.643461-5 2.951209+1 3.310107-5 4.073803+1 2.347668-5 6.606934+1 1.416130-5 1.109175+2 8.316144-6 2.213095+2 4.123042-6 4.415704+2 2.055384-6 1.757924+3 5.141768-7 1.000000+5 9.026200-9 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 4.886100-4 1.383200-4 1.000000+5 1.383200-4 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.886100-4 5.182800-8 1.000000+5 5.182800-8 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 4.886100-4 3.502382-4 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 4.196200-4 2.415037+5 4.850000-4 2.288320+5 5.011872-4 2.245616+5 5.688529-4 2.070160+5 6.309573-4 1.913237+5 6.839116-4 1.790029+5 7.500000-4 1.646364+5 8.035261-4 1.537953+5 8.810489-4 1.392535+5 9.772372-4 1.236598+5 1.070000-3 1.106572+5 1.190000-3 9.632560+4 1.318257-3 8.374510+4 1.479108-3 7.090827+4 1.650000-3 6.012040+4 1.862087-3 4.966151+4 2.089296-3 4.108803+4 2.344229-3 3.374995+4 2.650000-3 2.715528+4 2.985383-3 2.181950+4 3.388442-3 1.715902+4 3.845918-3 1.338563+4 4.365158-3 1.036079+4 4.954502-3 7.958601+3 5.623413-3 6.067994+3 6.309573-3 4.711893+3 7.079458-3 3.637411+3 7.943282-3 2.791372+3 8.912509-3 2.129643+3 1.000000-2 1.615156+3 1.135011-2 1.183603+3 1.303167-2 8.362853+2 1.479108-2 6.036335+2 1.678804-2 4.326357+2 1.905461-2 3.079602+2 2.187762-2 2.109391+2 2.511886-2 1.433852+2 2.884032-2 9.675088+1 3.311311-2 6.481889+1 3.845918-2 4.168266+1 4.466836-2 2.660662+1 5.248075-2 1.628168+1 6.237348-2 9.544400+0 7.498942-2 5.358253+0 9.440609-2 2.582024+0 1.717908-1 3.809547-1 2.098150-1 2.024847-1 2.454709-1 1.241253-1 2.818383-1 8.124872-2 3.198895-1 5.548186-2 3.589219-1 3.948908-2 4.027170-1 2.831138-2 4.466836-1 2.113106-2 4.954502-1 1.588188-2 5.495409-1 1.202631-2 6.095369-1 9.177125-3 6.760830-1 7.059654-3 7.498942-1 5.474372-3 8.609938-1 3.936073-3 9.225714-1 3.358415-3 9.772372-1 2.959097-3 1.047129+0 2.561645-3 1.135011+0 2.179356-3 1.250000+0 1.809610-3 1.396368+0 1.474745-3 1.698244+0 1.037724-3 1.883649+0 8.671920-4 2.065380+0 7.446538-4 2.511886+0 5.433528-4 2.917427+0 4.298007-4 3.311311+0 3.552822-4 3.845918+0 2.858944-4 4.518559+0 2.280312-4 5.370318+0 1.804185-4 6.382635+0 1.438407-4 7.673615+0 1.138545-4 9.549926+0 8.698890-5 1.161449+1 6.887858-5 1.479108+1 5.204548-5 1.905461+1 3.911278-5 2.540973+1 2.849443-5 3.507519+1 2.013918-5 5.248075+1 1.317532-5 8.222427+1 8.272053-6 1.584893+2 4.233132-6 3.162278+2 2.105610-6 6.309573+2 1.051108-6 1.000000+4 6.609200-8 1.000000+5 6.607800-9 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 4.196200-4 1.308300-4 1.000000+5 1.308300-4 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 4.196200-4 2.251900-8 1.000000+5 2.251900-8 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 4.196200-4 2.887675-4 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 2.600500-4 1.705563+5 2.704500-4 1.719940+5 2.740000-4 1.704536+5 2.765000-4 1.685444+5 2.790000-4 1.656844+5 2.818383-4 1.615450+5 2.851018-4 1.562071+5 2.951209-4 1.402872+5 3.000000-4 1.338360+5 3.050000-4 1.284228+5 3.090295-4 1.250062+5 3.130000-4 1.224924+5 3.165000-4 1.209472+5 3.200000-4 1.200008+5 3.240000-4 1.195948+5 3.280000-4 1.198552+5 3.320000-4 1.207104+5 3.370000-4 1.225196+5 3.430000-4 1.256228+5 3.500000-4 1.302768+5 3.600000-4 1.382036+5 3.890451-4 1.646755+5 4.050000-4 1.790104+5 4.200000-4 1.916304+5 4.350000-4 2.031524+5 4.500000-4 2.133128+5 4.650000-4 2.219996+5 4.786301-4 2.287056+5 4.954502-4 2.355408+5 5.150000-4 2.416580+5 5.350000-4 2.459380+5 5.580000-4 2.488168+5 5.821032-4 2.500131+5 6.100000-4 2.495032+5 6.382635-4 2.471811+5 6.700000-4 2.428148+5 7.079458-4 2.359763+5 7.500000-4 2.272348+5 7.943282-4 2.171662+5 8.413951-4 2.059357+5 8.912509-4 1.939713+5 9.549926-4 1.791970+5 1.011579-3 1.667204+5 1.083927-3 1.517657+5 1.161449-3 1.372389+5 1.244515-3 1.233117+5 1.348963-3 1.079604+5 1.462177-3 9.381539+4 1.584893-3 8.090423+4 1.730000-3 6.833560+4 1.883649-3 5.756439+4 2.065380-3 4.742653+4 2.238721-3 3.977456+4 2.454709-3 3.229422+4 2.660725-3 2.675403+4 2.951209-3 2.084128+4 3.273407-3 1.609580+4 3.589219-3 1.270634+4 3.935501-3 9.971558+3 4.415704-3 7.303455+3 4.897788-3 5.476490+3 5.500000-3 3.936032+3 6.165950-3 2.818807+3 6.918310-3 1.997954+3 7.673615-3 1.456047+3 8.609938-3 1.017315+3 9.660509-3 7.053673+2 1.083927-2 4.855448+2 1.216186-2 3.319080+2 1.380384-2 2.167298+2 1.566751-2 1.404160+2 1.778279-2 9.029650+1 2.041738-2 5.534477+1 2.344229-2 3.366393+1 2.722701-2 1.949074+1 3.162278-2 1.120060+1 3.715352-2 6.122275+0 4.466836-2 3.044996+0 5.495409-2 1.376562+0 1.096478-1 9.540816-2 1.348963-1 4.311631-2 1.603245-1 2.239001-2 1.862087-1 1.277535-2 2.137962-1 7.662555-3 2.426610-1 4.827862-3 2.754229-1 3.064096-3 3.090295-1 2.041061-3 3.467369-1 1.369652-3 3.845918-1 9.632192-4 4.265795-1 6.823373-4 4.731513-1 4.870730-4 5.248075-1 3.504335-4 5.754399-1 2.633654-4 6.237348-1 2.063888-4 6.839117-1 1.573617-4 7.498942-1 1.208922-4 8.709636-1 7.942599-5 9.225714-1 6.806412-5 9.660509-1 6.052426-5 1.011579+0 5.417418-5 1.059254+0 4.883779-5 1.109175+0 4.431768-5 1.174898+0 3.955090-5 1.258925+0 3.478965-5 1.364583+0 3.013099-5 1.513561+0 2.520792-5 1.778279+0 1.892765-5 1.949845+0 1.616704-5 2.344229+0 1.198541-5 2.754229+0 9.283174-6 3.090295+0 7.778510-6 3.589219+0 6.237393-6 4.168694+0 5.038692-6 4.897788+0 4.034085-6 5.821032+0 3.203437-6 6.918310+0 2.562639-6 8.413951+0 2.006143-6 1.035142+1 1.559430-6 1.288250+1 1.205537-6 1.640590+1 9.138672-7 2.162719+1 6.714787-7 2.951209+1 4.786686-7 4.073803+1 3.394875-7 6.606934+1 2.047868-7 1.109175+2 1.202629-7 2.213095+2 5.962221-8 4.415704+2 2.972245-8 1.757924+3 7.435513-9 1.000000+5 1.30530-10 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 2.600500-4 9.118400-5 1.000000+5 9.118400-5 1 74000 7 7 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.600500-4 3.286500-8 1.000000+5 3.286500-8 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.600500-4 1.688331-4 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 2.473400-4 2.515306+5 2.530000-4 2.518739+5 2.575000-4 2.501076+5 2.605000-4 2.464674+5 2.630268-4 2.425574+5 2.660725-4 2.361439+5 2.700000-4 2.261226+5 2.786121-4 2.045988+5 2.835000-4 1.947984+5 2.870000-4 1.891050+5 2.910000-4 1.839864+5 2.951209-4 1.802467+5 2.985383-4 1.782770+5 3.030000-4 1.771428+5 3.065000-4 1.772940+5 3.100000-4 1.782678+5 3.150000-4 1.809288+5 3.200000-4 1.848906+5 3.260000-4 1.911120+5 3.320000-4 1.986558+5 3.430000-4 2.149896+5 3.600000-4 2.430330+5 3.740000-4 2.660820+5 3.850000-4 2.833596+5 3.981072-4 3.026014+5 4.120975-4 3.213463+5 4.265795-4 3.385733+5 4.394000-4 3.517785+5 4.518559-4 3.626926+5 4.677351-4 3.742055+5 4.850000-4 3.840204+5 5.011872-4 3.908277+5 5.188000-4 3.957465+5 5.400000-4 3.988560+5 5.650000-4 3.994668+5 5.900000-4 3.974442+5 6.165950-4 3.928387+5 6.456542-4 3.854224+5 6.760830-4 3.757587+5 7.161434-4 3.613465+5 7.585776-4 3.449716+5 8.000000-4 3.282876+5 8.511380-4 3.076269+5 9.015711-4 2.878363+5 9.660509-4 2.638206+5 1.035142-3 2.399710+5 1.110000-3 2.165454+5 1.190000-3 1.941834+5 1.288250-3 1.702131+5 1.396368-3 1.477425+5 1.513561-3 1.272934+5 1.640590-3 1.089123+5 1.778279-3 9.255411+4 1.927525-3 7.816026+4 2.113489-3 6.393524+4 2.300000-3 5.280822+4 2.540973-3 4.182580+4 2.800000-3 3.305076+4 3.054921-3 2.658901+4 3.388442-3 2.037347+4 3.801894-3 1.501325+4 4.265795-3 1.095963+4 4.800000-3 7.864560+3 5.370318-3 5.686258+3 6.025596-3 4.044194+3 6.760830-3 2.852443+3 7.498942-3 2.069638+3 8.317638-3 1.492307+3 9.332543-3 1.029821+3 1.047129-2 7.055173+2 1.174898-2 4.798192+2 1.318257-2 3.240316+2 1.496236-2 2.087568+2 1.698244-2 1.334196+2 1.927525-2 8.463820+1 2.187762-2 5.331593+1 2.511886-2 3.196344+1 2.884032-2 1.902493+1 3.349654-2 1.076404+1 3.935501-2 5.784370+0 4.677351-2 2.950628+0 5.754399-2 1.304835+0 1.096478-1 1.009664-1 1.333521-1 4.664596-2 1.531088-1 2.721504-2 1.757924-1 1.599860-2 2.000000-1 9.815566-3 2.238721-1 6.446300-3 2.483133-1 4.408300-3 2.754229-1 3.035217-3 3.019952-1 2.192076-3 3.311311-1 1.593697-3 3.630781-1 1.166480-3 3.981072-1 8.598612-4 4.365158-1 6.387465-4 4.786301-1 4.780715-4 5.248075-1 3.604362-4 5.688529-1 2.833320-4 6.095369-1 2.318493-4 6.606935-1 1.849934-4 7.161434-1 1.486379-4 8.709636-1 8.890921-5 9.225714-1 7.695675-5 9.660509-1 6.892668-5 1.011579+0 6.208569-5 1.071519+0 5.487823-5 1.135011+0 4.881531-5 1.216186+0 4.271225-5 1.318257+0 3.680975-5 1.778279+0 2.164705-5 1.949845+0 1.849743-5 2.371374+0 1.346602-5 2.786121+0 1.043437-5 3.090295+0 8.900821-6 3.589219+0 7.137363-6 4.168694+0 5.765716-6 4.897788+0 4.616144-6 5.821032+0 3.665605-6 6.918310+0 2.932407-6 8.511380+0 2.263310-6 1.047129+1 1.760031-6 1.318257+1 1.343111-6 1.678804+1 1.018900-6 2.213095+1 7.491336-7 3.054921+1 5.277375-7 4.265795+1 3.700752-7 6.839116+1 2.261046-7 1.174898+2 1.297621-7 2.344229+2 6.436923-8 4.677351+2 3.209588-8 3.715352+3 4.022658-9 1.000000+5 1.49360-10 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 2.473400-4 8.963600-5 1.000000+5 8.963600-5 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 2.473400-4 1.577040-4 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 4.561000-5 3.009498+5 4.590000-5 3.091416+5 4.635000-5 3.197778+5 4.680000-5 3.285456+5 4.731513-5 3.367793+5 4.800000-5 3.450162+5 4.870000-5 3.513726+5 4.954502-5 3.565637+5 5.069907-5 3.607988+5 5.190000-5 3.628014+5 5.370318-5 3.627468+5 5.821032-5 3.579480+5 6.025596-5 3.577301+5 6.165950-5 3.593182+5 6.309573-5 3.627858+5 6.456542-5 3.686360+5 6.606934-5 3.772124+5 6.760830-5 3.889018+5 6.918310-5 4.040101+5 7.079458-5 4.227365+5 7.244360-5 4.453182+5 7.413102-5 4.717198+5 7.673615-5 5.184478+5 8.035261-5 5.934949+5 8.810489-5 7.819092+5 9.332543-5 9.225547+5 9.885531-5 1.080068+6 1.040000-4 1.232610+6 1.092100-4 1.390414+6 1.135011-4 1.520487+6 1.174898-4 1.638700+6 1.220000-4 1.766598+6 1.260000-4 1.873482+6 1.303167-4 1.981122+6 1.350000-4 2.088300+6 1.400000-4 2.191206+6 1.450000-4 2.281872+6 1.513561-4 2.382752+6 1.584893-4 2.478364+6 1.659587-4 2.560974+6 1.737801-4 2.629607+6 1.820000-4 2.682276+6 1.905461-4 2.716244+6 2.000000-4 2.731302+6 2.089296-4 2.727491+6 2.190000-4 2.707032+6 2.317395-4 2.662996+6 2.454709-4 2.599222+6 2.600160-4 2.518397+6 2.730000-4 2.436660+6 2.884032-4 2.330469+6 3.054921-4 2.207220+6 3.235937-4 2.076204+6 3.430000-4 1.938276+6 3.650000-4 1.788480+6 3.850000-4 1.658304+6 4.100000-4 1.505046+6 4.365158-4 1.357057+6 4.677351-4 1.200788+6 4.954502-4 1.078162+6 5.248075-4 9.617719+5 5.650000-4 8.246940+5 6.095369-4 6.979225+5 6.531306-4 5.955491+5 7.079458-4 4.904651+5 7.585776-4 4.126335+5 8.222426-4 3.349939+5 9.015711-4 2.614495+5 9.885531-4 2.022572+5 1.071519-3 1.603890+5 1.161449-3 1.264596+5 1.258925-3 9.911515+4 1.396368-3 7.186685+4 1.531087-3 5.359512+4 1.678804-3 3.970621+4 1.862087-3 2.811811+4 2.065380-3 1.975986+4 2.290868-3 1.378626+4 2.540973-3 9.549948+3 2.818383-3 6.569667+3 3.126079-3 4.489310+3 3.507519-3 2.918385+3 3.935501-3 1.882427+3 4.415704-3 1.205033+3 4.954502-3 7.658517+2 5.559043-3 4.834160+2 6.309573-3 2.891977+2 7.079458-3 1.800328+2 8.000000-3 1.080318+2 9.015711-3 6.509792+1 1.023293-2 3.777073+1 1.161449-2 2.174209+1 1.318257-2 1.242565+1 1.513561-2 6.699571+0 1.757924-2 3.404852+0 2.089296-2 1.546493+0 2.454709-2 7.344477-1 2.951209-2 3.111770-1 3.630781-2 1.173643-1 7.413102-2 3.984217-3 9.015711-2 1.585239-3 1.071519-1 7.079138-4 1.244515-1 3.545189-4 1.428894-1 1.886257-4 1.621810-1 1.065596-4 1.819701-1 6.383954-5 2.041738-1 3.851736-5 2.264644-1 2.460368-5 2.511886-1 1.582231-5 2.786121-1 1.024912-5 3.090295-1 6.689942-6 3.388442-1 4.609087-6 3.715352-1 3.196270-6 4.120975-1 2.134205-6 4.518559-1 1.501456-6 4.897788-1 1.111411-6 5.308844-1 8.287339-7 5.754399-1 6.226134-7 6.095369-1 5.102011-7 6.606935-1 3.893397-7 7.161434-1 2.991962-7 8.035261-1 2.071163-7 8.511380-1 1.707475-7 8.912509-1 1.471364-7 9.225714-1 1.322137-7 9.549926-1 1.193997-7 9.885531-1 1.084642-7 1.023293+0 9.919895-8 1.059254+0 9.130521-8 1.096478+0 8.451376-8 1.135011+0 7.861619-8 1.188502+0 7.185733-8 1.258925+0 6.474088-8 1.348963+0 5.750640-8 1.500000+0 4.841700-8 1.840772+0 3.371378-8 2.000000+0 2.929700-8 2.454709+0 2.104498-8 2.884032+0 1.633499-8 3.198895+0 1.396189-8 3.715352+0 1.121526-8 4.365158+0 8.930273-9 5.128614+0 7.164599-9 6.095369+0 5.700780-9 7.244360+0 4.569309-9 8.912509+0 3.532949-9 1.083927+1 2.789965-9 1.380384+1 2.103501-9 1.757924+1 1.598005-9 2.344229+1 1.161688-9 3.273407+1 8.09429-10 4.677351+1 5.54907-10 7.328245+1 3.47734-10 1.318257+2 1.90602-10 2.630268+2 9.46523-11 5.248075+2 4.72163-11 4.168694+3 5.92083-12 1.000000+5 2.46700-13 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 4.561000-5 4.561000-5 1.000000+5 4.561000-5 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 4.561000-5 0.0 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 4.325000-5 4.540929+5 4.370000-5 4.689888+5 4.415704-5 4.804473+5 4.470000-5 4.909344+5 4.530000-5 4.994896+5 4.600000-5 5.062592+5 4.700000-5 5.120584+5 4.810000-5 5.146216+5 4.954502-5 5.143443+5 5.188000-5 5.096323+5 5.500000-5 5.023736+5 5.688529-5 5.005206+5 5.855200-5 5.018565+5 6.000000-5 5.059208+5 6.150000-5 5.134512+5 6.300000-5 5.247216+5 6.450000-5 5.399792+5 6.606934-5 5.603583+5 6.760830-5 5.847596+5 6.918310-5 6.141587+5 7.117800-5 6.575036+5 7.328245-5 7.099896+5 7.650000-5 8.016480+5 8.500000-5 1.089264+6 9.015711-5 1.283489+6 9.549926-5 1.494833+6 1.000000-4 1.678936+6 1.047129-4 1.875161+6 1.096478-4 2.080892+6 1.135011-4 2.238692+6 1.174898-4 2.396515+6 1.220000-4 2.565096+6 1.260000-4 2.703864+6 1.303167-4 2.841373+6 1.350000-4 2.976384+6 1.400000-4 3.103800+6 1.462177-4 3.241644+6 1.531087-4 3.370463+6 1.603245-4 3.480821+6 1.690000-4 3.584064+6 1.778279-4 3.658896+6 1.862087-4 3.701642+6 1.950000-4 3.718096+6 2.041738-4 3.709804+6 2.150000-4 3.675144+6 2.264644-4 3.615933+6 2.400000-4 3.524984+6 2.540973-4 3.414549+6 2.660725-4 3.309577+6 2.800000-4 3.176744+6 2.951209-4 3.026258+6 3.126079-4 2.850161+6 3.311311-4 2.666176+6 3.507519-4 2.479474+6 3.715352-4 2.290250+6 3.935501-4 2.100686+6 4.168694-4 1.914970+6 4.466836-4 1.699635+6 4.731513-4 1.530414+6 5.011872-4 1.369358+6 5.370318-4 1.189873+6 5.754399-4 1.025777+6 6.165950-4 8.789590+5 6.606934-4 7.474968+5 7.079458-4 6.317718+5 7.673615-4 5.154015+5 8.317638-4 4.170814+5 8.912509-4 3.458503+5 9.700000-4 2.731632+5 1.059254-3 2.120213+5 1.174898-3 1.558752+5 1.297180-3 1.151152+5 1.428894-3 8.492997+4 1.566751-3 6.313393+4 1.717908-3 4.662029+4 1.905461-3 3.289482+4 2.113489-3 2.303504+4 2.344229-3 1.601365+4 2.600160-3 1.105359+4 2.884032-3 7.580386+3 3.198895-3 5.163693+3 3.548134-3 3.494165+3 3.981072-3 2.245708+3 4.466836-3 1.432325+3 5.069907-3 8.662721+2 5.688529-3 5.450180+2 6.382635-3 3.405801+2 7.161434-3 2.113624+2 8.035261-3 1.301779+2 9.120108-3 7.577963+1 1.035142-2 4.378333+1 1.174898-2 2.513092+1 1.333521-2 1.432154+1 1.500000-2 8.431346+0 1.717908-2 4.540956+0 1.972423-2 2.399926+0 2.344229-2 1.072153+0 2.786121-2 4.754286-1 3.427678-2 1.777029-1 4.466836-2 5.008408-2 7.244360-2 4.900576-3 8.810489-2 1.924790-3 1.047129-1 8.497577-4 1.202264-1 4.445627-4 1.364583-1 2.471129-4 1.548817-1 1.383840-4 1.737801-1 8.229349-5 1.927525-1 5.190590-5 2.137962-1 3.298238-5 2.371374-1 2.112413-5 2.600160-1 1.431533-5 2.851018-1 9.761499-6 3.090295-1 7.026277-6 3.349654-1 5.091096-6 3.589219-1 3.886313-6 3.890451-1 2.857143-6 4.216965-1 2.116461-6 4.570882-1 1.579397-6 4.897788-1 1.236605-6 5.248075-1 9.741429-7 5.623413-1 7.725684-7 6.025596-1 6.167946-7 6.456542-1 4.954729-7 6.918310-1 4.005379-7 7.498942-1 3.148794-7 8.128305-1 2.493595-7 8.810489-1 1.988045-7 9.772372-1 1.496274-7 1.011579+0 1.369577-7 1.047129+0 1.261093-7 1.083927+0 1.167086-7 1.135011+0 1.059820-7 1.188502+0 9.688098-8 1.273503+0 8.543623-8 1.364583+0 7.583619-8 1.513561+0 6.384582-8 1.819701+0 4.607178-8 1.972423+0 4.016384-8 2.398833+0 2.925194-8 2.818383+0 2.268025-8 3.126079+0 1.936081-8 3.630781+0 1.553458-8 4.265795+0 1.235540-8 5.011872+0 9.901999-9 5.956621+0 7.870966-9 7.079458+0 6.302733-9 8.709636+0 4.868982-9 1.059254+1 3.841938-9 1.333521+1 2.932994-9 1.698244+1 2.225740-9 2.238721+1 1.637003-9 3.090295+1 1.153520-9 4.365158+1 7.99393-10 6.918310+1 4.94450-10 1.188502+2 2.83803-10 2.371374+2 1.40807-10 4.731513+2 7.02111-11 3.758374+3 8.80022-12 1.000000+5 3.30540-13 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 4.325000-5 4.325000-5 1.000000+5 4.325000-5 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 4.325000-5 0.0 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 8.514000-5 6.678760+4 8.620000-5 6.446680+4 8.730000-5 6.252020+4 8.850000-5 6.094100+4 8.970000-5 5.977080+4 9.120108-5 5.879454+4 9.300000-5 5.811600+4 9.500000-5 5.785440+4 9.721800-5 5.801256+4 1.000000-4 5.865220+4 1.040000-4 6.008180+4 1.170000-4 6.559060+4 1.230269-4 6.760795+4 1.288250-4 6.897634+4 1.350000-4 6.985560+4 1.412538-4 7.023113+4 1.480000-4 7.018620+4 1.566751-4 6.965765+4 1.678804-4 6.850918+4 1.800000-4 6.691920+4 1.927525-4 6.495184+4 2.041738-4 6.297200+4 2.187762-4 6.023500+4 2.350000-4 5.709100+4 2.570396-4 5.294210+4 2.851018-4 4.813715+4 3.126079-4 4.392130+4 3.427678-4 3.977316+4 3.890451-4 3.438744+4 4.415704-4 2.951136+4 5.011872-4 2.511885+4 5.888437-4 2.029245+4 6.918310-4 1.625136+4 8.128305-4 1.292789+4 9.885531-4 9.709061+3 1.202264-3 7.229518+3 1.462177-3 5.338523+3 1.757924-3 3.982718+3 2.113489-3 2.948609+3 2.540973-3 2.166022+3 3.054921-3 1.578998+3 3.672823-3 1.142304+3 4.415704-3 8.202180+2 5.370318-3 5.720947+2 6.531306-3 3.959614+2 8.000000-3 2.682854+2 9.772372-3 1.814242+2 1.188502-2 1.227795+2 1.428894-2 8.437057+1 1.717908-2 5.754534+1 2.065380-2 3.895252+1 2.483133-2 2.616362+1 3.000000-2 1.725294+1 3.589219-2 1.154717+1 4.265795-2 7.788055+0 5.011872-2 5.355813+0 5.956621-2 3.553731+0 7.161434-2 2.276007+0 8.511380-2 1.488025+0 1.047129-1 8.860196-1 1.348963-1 4.660544-1 1.659587-1 2.739107-1 2.483133-1 9.712115-2 3.090295-1 5.569048-2 3.672823-1 3.614552-2 4.216965-1 2.574385-2 4.841724-1 1.846571-2 5.495409-1 1.371041-2 6.165950-1 1.052581-2 6.998420-1 7.930925-3 7.852356-1 6.174000-3 8.810489-1 4.835041-3 9.772372-1 3.908229-3 1.122018+0 2.973593-3 1.273503+0 2.329510-3 1.445440+0 1.838119-3 1.640590+0 1.460382-3 1.819701+0 1.217913-3 2.000000+0 1.039300-3 2.454709+0 7.464999-4 2.851018+0 5.898489-4 3.162278+0 5.038432-4 3.672823+0 4.045037-4 4.315191+0 3.219088-4 5.069907+0 2.581235-4 6.025596+0 2.052767-4 7.244360+0 1.620909-4 8.912509+0 1.253275-4 1.083927+1 9.897178-5 1.380384+1 7.461858-5 1.757924+1 5.668521-5 2.344229+1 4.120703-5 3.273407+1 2.871396-5 4.677351+1 1.968404-5 7.328245+1 1.233523-5 1.318257+2 6.761191-6 2.630268+2 3.357647-6 5.248075+2 1.674923-6 4.168694+3 2.100308-7 1.000000+5 8.751400-9 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 8.514000-5 8.514000-5 1.000000+5 8.514000-5 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 8.514000-5 0.0 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 5.602000-5 2.148720+6 5.650000-5 2.178740+6 5.700000-5 2.195720+6 5.770000-5 2.198540+6 5.850000-5 2.180920+6 5.920000-5 2.153680+6 6.000000-5 2.111640+6 6.110000-5 2.042960+6 6.237348-5 1.953630+6 6.382635-5 1.844667+6 6.531306-5 1.730497+6 6.730000-5 1.580304+6 6.918310-5 1.444498+6 7.161434-5 1.282182+6 7.413102-5 1.131526+6 7.852356-5 9.112300+5 9.120108-5 5.126569+5 9.885531-5 3.786441+5 1.071519-4 2.818995+5 1.150000-4 2.191860+5 1.224700-4 1.764487+5 1.288250-4 1.491098+5 1.350000-4 1.283128+5 1.412538-4 1.116123+5 1.480000-4 9.732120+4 1.548817-4 8.574843+4 1.621810-4 7.595918+4 1.698244-4 6.776661+4 1.778279-4 6.089237+4 1.862087-4 5.511365+4 1.950000-4 5.024260+4 2.041738-4 4.615380+4 2.137962-4 4.269358+4 2.238721-4 3.975288+4 2.350000-4 3.710680+4 2.483133-4 3.454358+4 2.660725-4 3.183435+4 2.884032-4 2.918382+4 3.162278-4 2.663802+4 3.630781-4 2.345448+4 4.700000-4 1.859472+4 5.559043-4 1.586918+4 6.382635-4 1.382694+4 7.413102-4 1.180882+4 8.413951-4 1.025693+4 9.660509-4 8.727518+3 1.096478-3 7.470020+3 1.230269-3 6.446158+3 1.400000-3 5.423380+3 1.590000-3 4.541140+3 1.798871-3 3.794500+3 2.041738-3 3.132801+3 2.317395-3 2.566615+3 2.630268-3 2.086818+3 2.985383-3 1.683923+3 3.388442-3 1.348590+3 3.845918-3 1.072023+3 4.365158-3 8.458955+2 4.954502-3 6.626349+2 5.623413-3 5.153958+2 6.382635-3 3.980703+2 7.244360-3 3.053118+2 8.222426-3 2.325348+2 9.332543-3 1.758885+2 1.059254-2 1.321312+2 1.202264-2 9.857044+1 1.364583-2 7.303204+1 1.548817-2 5.374545+1 1.778279-2 3.817381+1 2.041738-2 2.690780+1 2.344229-2 1.882694+1 2.691535-2 1.307885+1 3.090295-2 9.046548+0 3.548134-2 6.206055+0 4.120975-2 4.095261+0 4.841724-2 2.597562+0 5.821032-2 1.531475+0 7.161434-2 8.381603-1 8.810489-2 4.553987-1 1.678804-1 6.712343-2 2.113489-1 3.410652-2 2.511886-1 2.065873-2 2.917427-1 1.346699-2 3.349654-1 9.133104-3 3.801894-1 6.439764-3 4.315191-1 4.573259-3 4.841724-1 3.373407-3 5.432503-1 2.506053-3 6.025596-1 1.930462-3 6.683439-1 1.497315-3 7.413102-1 1.169296-3 8.609938-1 8.259577-4 9.332543-1 6.897982-4 1.000000+0 5.952700-4 1.096478+0 4.937142-4 1.202264+0 4.123114-4 1.333521+0 3.392214-4 1.584893+0 2.479684-4 1.778279+0 2.022325-4 1.949845+0 1.728878-4 2.344229+0 1.281669-4 2.754229+0 9.927575-5 3.090295+0 8.318930-5 3.589219+0 6.670794-5 4.168694+0 5.388796-5 4.897788+0 4.314325-5 5.821032+0 3.425888-5 6.918310+0 2.740668-5 8.413951+0 2.145536-5 1.035142+1 1.667764-5 1.288250+1 1.289315-5 1.621810+1 9.902051-6 2.137962+1 7.273026-6 2.917427+1 5.183224-6 4.027170+1 3.675144-6 6.531306+1 2.216495-6 1.096478+2 1.301317-6 2.187762+2 6.451084-7 4.365158+2 3.215832-7 1.737801+3 8.044362-8 1.000000+5 1.396000-9 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 5.602000-5 5.602000-5 1.000000+5 5.602000-5 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 5.602000-5 0.0 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 4.565000-5 4.845560+6 4.605000-5 4.828960+6 4.650000-5 4.788040+6 4.710000-5 4.707480+6 4.786301-5 4.576382+6 4.850000-5 4.451680+6 4.954502-5 4.232025+6 5.080000-5 3.959336+6 5.230000-5 3.638212+6 5.400000-5 3.292604+6 5.623413-5 2.878440+6 5.888437-5 2.450636+6 6.237348-5 1.987526+6 7.161434-5 1.189451+6 7.585776-5 9.655230+5 8.035261-5 7.893089+5 8.413951-5 6.759295+5 8.810489-5 5.823757+5 9.225714-5 5.051431+5 9.660509-5 4.413528+5 1.000000-4 4.008960+5 1.040000-4 3.614560+5 1.083927-4 3.262388+5 1.122018-4 3.011109+5 1.170000-4 2.750604+5 1.220000-4 2.530904+5 1.273503-4 2.340218+5 1.338300-4 2.154702+5 1.412538-4 1.985943+5 1.500000-4 1.828880+5 1.603245-4 1.682718+5 1.720000-4 1.552052+5 1.883649-4 1.409568+5 2.113489-4 1.258685+5 2.722701-4 9.880248+4 3.162278-4 8.509261+4 3.672823-4 7.270475+4 4.216965-4 6.241435+4 4.786301-4 5.388742+4 5.500000-4 4.553680+4 6.237348-4 3.885441+4 7.161434-4 3.241750+4 8.128305-4 2.729293+4 9.440609-4 2.210368+4 1.083927-3 1.805564+4 1.240000-3 1.472940+4 1.412538-3 1.201209+4 1.621810-3 9.606124+3 1.862087-3 7.622268+3 2.113489-3 6.122512+3 2.398833-3 4.884077+3 2.722701-3 3.869369+3 3.090295-3 3.044191+3 3.507519-3 2.378209+3 4.000000-3 1.827252+3 4.570882-3 1.387418+3 5.188000-3 1.060745+3 5.888437-3 8.054781+2 6.683439-3 6.075010+2 7.585776-3 4.550005+2 8.609938-3 3.384256+2 9.772372-3 2.500156+2 1.109175-2 1.834249+2 1.258925-2 1.336309+2 1.428894-2 9.665517+1 1.640590-2 6.736392+1 1.883649-2 4.658659+1 2.137962-2 3.298284+1 2.454709-2 2.245342+1 2.818383-2 1.517200+1 3.273407-2 9.845629+0 3.801894-2 6.340238+0 4.415704-2 4.052066+0 5.188000-2 2.482715+0 6.165950-2 1.457321+0 7.498942-2 7.897596-1 9.549926-2 3.672805-1 1.659587-1 6.284105-2 2.041738-1 3.262992-2 2.398833-1 1.972274-2 2.754229-1 1.289708-2 3.126079-1 8.797135-3 3.507519-1 6.254059-3 3.935501-1 4.477710-3 4.365158-1 3.337458-3 4.841724-1 2.504622-3 5.370318-1 1.893345-3 5.956621-1 1.442211-3 6.531306-1 1.140178-3 7.244360-1 8.820190-4 8.317638-1 6.329486-4 8.912509-1 5.383954-4 9.549926-1 4.610263-4 1.011579+0 4.076872-4 1.096478+0 3.458949-4 1.202264+0 2.888243-4 1.318257+0 2.428620-4 1.479108+0 1.970661-4 1.717908+0 1.507088-4 1.905461+0 1.260496-4 2.113489+0 1.063121-4 2.540973+0 7.907275-5 2.951209+0 6.258193-5 3.349654+0 5.176932-5 3.890451+0 4.168213-5 4.570882+0 3.326363-5 5.432503+0 2.633225-5 6.456542+0 2.100468-5 7.762471+0 1.663418-5 9.660509+0 1.271402-5 1.174898+1 1.007160-5 1.500000+1 7.591000-6 1.949845+1 5.650231-6 2.600160+1 4.118726-6 3.589219+1 2.912686-6 5.495409+1 1.860951-6 8.609938+1 1.169368-6 1.678804+2 5.917858-7 3.349654+2 2.945030-7 6.683439+2 1.470435-7 1.059254+4 9.247303-9 1.000000+5 9.79330-10 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 4.565000-5 4.565000-5 1.000000+5 4.565000-5 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 4.565000-5 0.0 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 8.270000-6 2.760083+6 8.511380-6 2.946936+6 9.120108-6 3.415699+6 9.660509-6 3.835866+6 1.023293-5 4.279026+6 1.083927-5 4.737622+6 1.150000-5 5.226592+6 1.224700-5 5.761254+6 1.303167-5 6.296201+6 1.380384-5 6.793775+6 1.462177-5 7.285561+6 1.548817-5 7.759912+6 1.621810-5 8.116372+6 1.698244-5 8.440652+6 1.778279-5 8.717632+6 1.862087-5 8.937553+6 1.927525-5 9.057361+6 2.000000-5 9.133664+6 2.070000-5 9.150144+6 2.150000-5 9.103392+6 2.230000-5 8.993728+6 2.317395-5 8.811455+6 2.400000-5 8.586128+6 2.483133-5 8.318224+6 2.580000-5 7.966752+6 2.676700-5 7.587450+6 2.786121-5 7.140450+6 2.900000-5 6.671520+6 3.019952-5 6.187710+6 3.162278-5 5.640386+6 3.311311-5 5.107770+6 3.507519-5 4.477252+6 3.730000-5 3.859600+6 3.981072-5 3.274003+6 4.265795-5 2.729118+6 4.570882-5 2.258455+6 4.841724-5 1.917172+6 5.150000-5 1.597318+6 5.432503-5 1.355928+6 5.754399-5 1.128501+6 6.095369-5 9.322149+5 6.456542-5 7.645299+5 6.839116-5 6.222604+5 7.300000-5 4.888016+5 7.762471-5 3.864031+5 8.317638-5 2.942591+5 8.810489-5 2.330367+5 9.440609-5 1.747882+5 1.000000-4 1.366544+5 1.060000-4 1.058152+5 1.122018-4 8.194899+4 1.202264-4 5.959129+4 1.396368-4 2.951824+4 1.462177-4 2.391917+4 1.513561-4 2.055398+4 1.560000-4 1.811232+4 1.603245-4 1.625542+4 1.640590-4 1.492393+4 1.678804-4 1.378363+4 1.720000-4 1.276811+4 1.760000-4 1.196130+4 1.800000-4 1.130402+4 1.840772-4 1.076493+4 1.883649-4 1.031848+4 1.927525-4 9.968239+3 1.972423-4 9.701981+3 2.018366-4 9.509183+3 2.065380-4 9.380603+3 2.113489-4 9.307069+3 2.180000-4 9.279232+3 2.240000-4 9.309408+3 2.317395-4 9.403643+3 2.426610-4 9.598673+3 2.917427-4 1.060048+4 3.019952-4 1.077241+4 3.198895-4 1.097533+4 3.388442-4 1.111782+4 3.589219-4 1.119449+4 3.801894-4 1.120098+4 4.027170-4 1.113204+4 4.280200-4 1.096333+4 4.570882-4 1.069944+4 4.841724-4 1.040620+4 5.128614-4 1.006276+4 5.495409-4 9.595817+3 5.888437-4 9.083014+3 6.309573-4 8.538695+3 6.760830-4 7.975097+3 7.328245-4 7.308930+3 7.943282-4 6.645961+3 8.609938-4 5.995786+3 9.332543-4 5.370212+3 1.011579-3 4.777078+3 1.096478-3 4.221220+3 1.188502-3 3.705770+3 1.288250-3 3.232584+3 1.396368-3 2.802322+3 1.531087-3 2.362684+3 1.678804-3 1.976799+3 1.840772-3 1.641540+3 2.018366-3 1.353192+3 2.213095-3 1.107589+3 2.426610-3 9.002968+2 2.660725-3 7.268806+2 2.917427-3 5.830331+2 3.198895-3 4.646203+2 3.548134-3 3.572742+2 3.935501-3 2.727393+2 4.365158-3 2.067348+2 4.841724-3 1.555131+2 5.432503-3 1.124363+2 6.025596-3 8.338371+1 6.760830-3 5.935652+1 7.585776-3 4.192309+1 8.511380-3 2.939142+1 9.549926-3 2.045579+1 1.059254-2 1.466727+1 1.188502-2 1.006121+1 1.333521-2 6.853242+0 1.513561-2 4.458089+0 1.717908-2 2.878592+0 1.949845-2 1.845527+0 2.238721-2 1.127627+0 2.570396-2 6.839035-1 3.000000-2 3.877765-1 3.507519-2 2.167192-1 4.168694-2 1.130732-1 5.069907-2 5.366838-2 6.531306-2 2.026052-2 1.096478-1 2.740670-3 1.348963-1 1.238821-3 1.603245-1 6.435476-4 1.862087-1 3.672776-4 2.137962-1 2.203291-4 2.426610-1 1.388432-4 2.754229-1 8.813401-5 3.090295-1 5.871908-5 3.467369-1 3.941316-5 3.845918-1 2.772053-5 4.265795-1 1.963472-5 4.731513-1 1.401118-5 5.248075-1 1.007435-5 5.754399-1 7.566506-6 6.165950-1 6.137139-6 6.760830-1 4.678952-6 7.413102-1 3.594604-6 8.035261-1 2.869155-6 8.609938-1 2.358507-6 9.120108-1 2.016339-6 9.549926-1 1.789106-6 1.000000+0 1.597600-6 1.047129+0 1.437066-6 1.096478+0 1.301694-6 1.161449+0 1.159706-6 1.230269+0 1.040612-6 1.333521+0 8.999953-7 1.479108+0 7.529401-7 1.798871+0 5.325065-7 1.972423+0 4.552330-7 2.398833+0 3.315460-7 2.818383+0 2.570683-7 3.126079+0 2.194446-7 3.630781+0 1.760694-7 4.216965+0 1.423060-7 4.954502+0 1.139910-7 5.888437+0 9.056799-8 7.000000+0 7.246700-8 8.609938+0 5.597343-8 1.059254+1 4.354635-8 1.333521+1 3.324411-8 1.698244+1 2.522740-8 2.238721+1 1.855460-8 3.126079+1 1.291370-8 4.415704+1 8.951784-9 6.998420+1 5.537972-9 1.216186+2 3.142218-9 2.426610+2 1.559261-9 4.841724+2 7.77574-10 3.845918+3 9.74726-11 1.000000+5 3.74650-12 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 8.270000-6 8.270000-6 1.000000+5 8.270000-6 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 8.270000-6 0.0 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 7.410000-6 5.202148+6 7.700000-6 5.608584+6 8.128305-6 6.193118+6 8.609938-6 6.830706+6 9.120108-6 7.479391+6 9.700000-6 8.184288+6 1.035142-5 8.931283+6 1.109175-5 9.726630+6 1.188502-5 1.051954+7 1.273503-5 1.130002+7 1.364583-5 1.205159+7 1.445440-5 1.263942+7 1.531087-5 1.317190+7 1.621810-5 1.362535+7 1.698244-5 1.390940+7 1.778279-5 1.410557+7 1.862087-5 1.419957+7 1.927525-5 1.419403+7 2.000000-5 1.410792+7 2.070000-5 1.394832+7 2.150000-5 1.368535+7 2.230000-5 1.334443+7 2.317395-5 1.290077+7 2.400000-5 1.242979+7 2.483133-5 1.191938+7 2.580000-5 1.129462+7 2.691535-5 1.055767+7 2.800000-5 9.845736+6 2.917427-5 9.099987+6 3.054921-5 8.274906+6 3.198895-5 7.476057+6 3.388442-5 6.535231+6 3.589219-5 5.674502+6 3.801894-5 4.897383+6 4.073803-5 4.074986+6 4.365158-5 3.367183+6 4.650000-5 2.808312+6 4.954502-5 2.324950+6 5.248075-5 1.945687+6 5.559043-5 1.616757+6 5.900000-5 1.325098+6 6.237348-5 1.092183+6 6.606934-5 8.875319+5 7.000000-5 7.155384+5 7.413102-5 5.736617+5 7.852356-5 4.567607+5 8.317638-5 3.613095+5 8.912509-5 2.706868+5 9.500000-5 2.056481+5 1.011579-4 1.558646+5 1.080000-4 1.158394+5 1.161449-4 8.269396+4 1.303167-4 4.818492+4 1.364583-4 3.900344+4 1.412538-4 3.346946+4 1.462177-4 2.891390+4 1.500000-4 2.609616+4 1.540000-4 2.363042+4 1.580000-4 2.160881+4 1.620000-4 1.995528+4 1.659587-4 1.862254+4 1.698244-4 1.756977+4 1.737801-4 1.670850+4 1.778279-4 1.601507+4 1.820000-4 1.546447+4 1.862087-4 1.505124+4 1.905461-4 1.475138+4 1.950000-4 1.455089+4 2.000000-4 1.442678+4 2.060000-4 1.438992+4 2.113489-4 1.443721+4 2.200000-4 1.461593+4 2.371374-4 1.512294+4 2.818383-4 1.653004+4 3.000000-4 1.699171+4 3.198895-4 1.721183+4 3.388442-4 1.730645+4 3.589219-4 1.729849+4 3.801894-4 1.718453+4 4.027170-4 1.696021+4 4.280200-4 1.658750+4 4.570882-4 1.607221+4 4.841724-4 1.553760+4 5.188000-4 1.481129+4 5.559043-4 1.401383+4 5.956621-4 1.316775+4 6.382635-4 1.229516+4 6.918310-4 1.126304+4 7.498942-4 1.023816+4 8.128305-4 9.235662+3 8.810489-4 8.269262+3 9.549926-4 7.353732+3 1.035142-3 6.496485+3 1.122018-3 5.704074+3 1.224700-3 4.916045+3 1.333521-3 4.222440+3 1.462177-3 3.554465+3 1.603245-3 2.970426+3 1.757924-3 2.464517+3 1.927525-3 2.030014+3 2.113489-3 1.659890+3 2.317395-3 1.347668+3 2.540973-3 1.086860+3 2.786121-3 8.711248+2 3.019952-3 7.136962+2 3.311311-3 5.636730+2 3.672823-3 4.287180+2 4.216965-3 2.946743+2 4.677351-3 2.210324+2 5.188000-3 1.646523+2 5.754399-3 1.217859+2 6.382635-3 8.947355+1 7.161434-3 6.303346+1 8.035261-3 4.406058+1 9.015711-3 3.057160+1 1.011579-2 2.105158+1 1.135011-2 1.438641+1 1.258925-2 1.014570+1 1.412538-2 6.832773+0 1.603245-2 4.389853+0 1.819701-2 2.799868+0 2.065380-2 1.772912+0 2.371374-2 1.068383+0 2.722701-2 6.389614-1 3.126079-2 3.794433-1 3.672823-2 2.048892-1 4.365158-2 1.050184-1 5.188000-2 5.345159-2 6.683439-2 1.965307-2 1.083927-1 2.890676-3 1.303167-1 1.400808-3 1.531088-1 7.483521-4 1.757924-1 4.402762-4 2.000000-1 2.702300-4 2.238721-1 1.775512-4 2.511886-1 1.164920-4 2.786121-1 8.029550-5 3.054921-1 5.804890-5 3.349654-1 4.224148-5 3.672823-1 3.094779-5 4.027170-1 2.283717-5 4.415705-1 1.698127-5 4.786301-1 1.318846-5 5.188000-1 1.030741-5 5.623413-1 8.108358-6 6.095369-1 6.422227-6 6.606935-1 5.124643-6 7.161434-1 4.117100-6 7.762471-1 3.329378-6 8.609938-1 2.544247-6 9.120108-1 2.203804-6 9.660509-1 1.922121-6 1.011579+0 1.733208-6 1.071519+0 1.533435-6 1.148154+0 1.334256-6 1.244515+0 1.144114-6 1.364583+0 9.668166-7 1.757924+0 6.164022-7 1.927525+0 5.263084-7 2.213095+0 4.199871-7 2.630268+0 3.186887-7 3.019952+0 2.571813-7 3.507519+0 2.059859-7 4.073803+0 1.662206-7 4.786301+0 1.329342-7 5.688529+0 1.054525-7 6.760830+0 8.428073-8 8.222427+0 6.591946-8 1.011579+1 5.119582-8 1.244515+1 4.007966-8 1.584893+1 3.034973-8 2.089296+1 2.227803-8 2.818383+1 1.606688-8 3.845918+1 1.152166-8 6.165950+1 7.026197-9 1.000000+2 4.269800-9 1.995262+2 2.114571-9 3.981072+2 1.053616-9 1.584893+3 2.63441-10 1.000000+5 4.16860-12 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 7.410000-6 7.410000-6 1.000000+5 7.410000-6 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 7.410000-6 0.0 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 7.700000-6 6.059200+6 8.000000-6 5.173240+6 8.912509-6 3.268873+6 9.772372-6 2.196405+6 1.071519-5 1.466719+6 1.174898-5 9.728379+5 1.303167-5 6.082636+5 1.462177-5 3.579097+5 1.698244-5 1.788551+5 1.819701-5 1.305879+5 1.905461-5 1.064743+5 1.980000-5 9.030060+4 2.041738-5 7.951364+4 2.113489-5 6.932976+4 2.170000-5 6.275380+4 2.238721-5 5.614081+4 2.300000-5 5.130860+4 2.350000-5 4.797980+4 2.420000-5 4.409020+4 2.483133-5 4.122505+4 2.540973-5 3.904322+4 2.610000-5 3.690040+4 2.670000-5 3.537800+4 2.730000-5 3.411980+4 2.800000-5 3.293060+4 2.884032-5 3.182699+4 2.980000-5 3.090780+4 3.080000-5 3.024660+4 3.198895-5 2.975024+4 3.311311-5 2.948820+4 3.467369-5 2.934605+4 3.672823-5 2.938630+4 4.400000-5 2.989760+4 4.731513-5 2.993463+4 5.069907-5 2.977148+4 5.432503-5 2.938533+4 5.800000-5 2.880700+4 6.165950-5 2.809274+4 6.606934-5 2.711625+4 7.079458-5 2.598169+4 7.585776-5 2.472794+4 8.222426-5 2.316572+4 9.015711-5 2.133478+4 1.000000-4 1.928650+4 1.135011-4 1.690245+4 1.318257-4 1.434103+4 2.213095-4 8.001204+3 2.454709-4 7.076374+3 2.722701-4 6.214041+3 3.054921-4 5.340337+3 3.548134-4 4.346462+3 5.069907-4 2.632872+3 6.000000-4 2.063880+3 9.120108-4 1.100384+3 1.135011-3 7.852256+2 1.396368-3 5.661618+2 1.717908-3 4.052525+2 2.089296-3 2.933777+2 2.540973-3 2.107530+2 3.090295-3 1.502230+2 3.758374-3 1.062312+2 4.518559-3 7.611480+1 5.495409-3 5.302906+1 6.683439-3 3.668037+1 8.128305-3 2.518639+1 9.885531-3 1.716378+1 1.202264-2 1.160647+1 1.445440-2 7.972950+0 1.737801-2 5.437502+0 2.089296-2 3.680334+0 2.511886-2 2.471328+0 3.000000-2 1.670652+0 3.589219-2 1.116227+0 4.265795-2 7.513688-1 5.069907-2 5.020446-1 6.025596-2 3.328509-1 7.244360-2 2.130952-1 8.511380-2 1.433138-1 1.047129-1 8.533374-2 1.348963-1 4.488734-2 1.659587-1 2.638204-2 2.483133-1 9.355459-3 3.090295-1 5.365325-3 3.672823-1 3.482925-3 4.216965-1 2.481122-3 4.841724-1 1.780125-3 5.495409-1 1.322150-3 6.165950-1 1.015468-3 6.998420-1 7.655902-4 7.852356-1 5.964384-4 8.810489-1 4.677023-4 9.772372-1 3.784151-4 1.135011+0 2.816129-4 1.288250+0 2.207126-4 1.462177+0 1.742731-4 1.659587+0 1.385434-4 1.840772+0 1.156318-4 2.018366+0 9.914997-5 2.483133+0 7.097762-5 2.884032+0 5.611210-5 3.198895+0 4.796075-5 3.715352+0 3.852655-5 4.365158+0 3.067701-5 5.128614+0 2.461131-5 6.095369+0 1.958315-5 7.244360+0 1.569626-5 9.000000+0 1.199200-5 1.100000+1 9.418400-6 1.412538+1 7.036879-6 1.819701+1 5.280969-6 2.426610+1 3.842548-6 3.388442+1 2.679853-6 4.897788+1 1.816433-6 7.585776+1 1.152729-6 1.396368+2 6.174846-7 2.786121+2 3.068020-7 5.559043+2 1.530780-7 4.415704+3 1.919995-8 1.000000+5 8.47470-10 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 7.700000-6 7.700000-6 1.000000+5 7.700000-6 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 7.700000-6 0.0 1.000000+5 1.000000+5 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 4.575940-7 1.026100+0 1.034660-6 1.026600+0 1.458630-6 1.027100+0 1.984500-6 1.027500+0 2.485560-6 1.028100+0 3.384050-6 1.028750+0 4.575940-6 1.029500+0 6.262300-6 1.030100+0 7.875600-6 1.031000+0 1.077650-5 1.032000+0 1.474500-5 1.033200+0 2.065520-5 1.034000+0 2.535610-5 1.035300+0 3.441740-5 1.036640+0 4.575940-5 1.038200+0 6.175380-5 1.039700+0 8.023050-5 1.041500+0 1.067460-4 1.043800+0 1.481670-4 1.046400+0 2.061460-4 1.048300+0 2.566570-4 1.051200+0 3.481500-4 1.054080+0 4.575940-4 1.057700+0 6.237310-4 1.061100+0 8.113200-4 1.065100+0 1.074100-3 1.070400+0 1.498490-3 1.076200+0 2.070910-3 1.080600+0 2.586230-3 1.087100+0 3.484500-3 1.093710+0 4.575940-3 1.102600+0 6.344260-3 1.110700+0 8.273820-3 1.120600+0 1.106730-2 1.133300+0 1.538720-2 1.147500+0 2.124420-2 1.158200+0 2.640100-2 1.174100+0 3.528810-2 1.190110+0 4.575940-2 1.205100+0 5.697420-2 1.227500+0 7.626980-2 1.250000+0 9.852000-2 1.265600+0 1.154490-1 1.294900+0 1.502070-1 1.331800+0 1.986570-1 1.362600+0 2.423120-1 1.397000+0 2.938170-1 1.433800+0 3.515080-1 1.500000+0 4.611000-1 1.562500+0 5.711170-1 1.617200+0 6.719060-1 1.712900+0 8.558320-1 1.838500+0 1.105890+0 1.946200+0 1.322580+0 2.000000+0 1.430000+0 2.044000+0 1.517000+0 2.163500+0 1.750690+0 2.372600+0 2.149570+0 2.686300+0 2.720250+0 3.000000+0 3.258000+0 3.500000+0 4.052330+0 4.000000+0 4.778000+0 4.750000+0 5.753220+0 5.000000+0 6.053000+0 6.000000+0 7.149000+0 7.000000+0 8.116000+0 8.000000+0 8.985000+0 9.000000+0 9.776000+0 1.000000+1 1.050000+1 1.100000+1 1.117000+1 1.200000+1 1.180000+1 1.300000+1 1.238000+1 1.400000+1 1.293000+1 1.500000+1 1.343000+1 1.600000+1 1.391000+1 1.800000+1 1.476000+1 2.000000+1 1.552000+1 2.200000+1 1.621000+1 2.400000+1 1.684000+1 2.600000+1 1.741000+1 2.800000+1 1.794000+1 3.000000+1 1.842000+1 4.000000+1 2.040000+1 5.000000+1 2.187000+1 6.000000+1 2.301000+1 8.000000+1 2.469000+1 1.000000+2 2.587000+1 1.500000+2 2.774000+1 2.000000+2 2.885000+1 3.000000+2 3.013000+1 4.000000+2 3.087000+1 5.000000+2 3.135000+1 6.000000+2 3.169000+1 8.000000+2 3.215000+1 1.000000+3 3.245000+1 1.500000+3 3.287000+1 2.000000+3 3.310000+1 3.000000+3 3.336000+1 4.000000+3 3.349000+1 5.000000+3 3.358000+1 6.000000+3 3.363000+1 8.000000+3 3.371000+1 1.000000+4 3.376000+1 1.500000+4 3.383000+1 2.000000+4 3.387000+1 3.000000+4 3.390000+1 4.000000+4 3.392000+1 5.000000+4 3.394000+1 6.000000+4 3.394000+1 8.000000+4 3.396000+1 1.000000+5 3.396000+1 1 74000 7 8 1.838500+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 7.411650-7 2.090400+0 1.006320-6 2.094700+0 1.304840-6 2.099900+0 1.735910-6 2.106600+0 2.414800-6 2.114000+0 3.341180-6 2.119500+0 4.159740-6 2.127900+0 5.641400-6 2.136250+0 7.411650-6 2.147000+0 1.016190-5 2.156900+0 1.319910-5 2.169000+0 1.761500-5 2.184500+0 2.448540-5 2.201800+0 3.387630-5 2.214800+0 4.220720-5 2.234200+0 5.677620-5 2.253680+0 7.411650-5 2.281500+0 1.038130-4 2.307000+0 1.363580-4 2.338200+0 1.833450-4 2.377400+0 2.539110-4 2.410200+0 3.229320-4 2.446800+0 4.107880-4 2.485900+0 5.172040-4 2.532900+0 6.619120-4 2.556430+0 7.411650-4 2.611900+0 9.450730-4 2.660400+0 1.142550-3 2.745300+0 1.529240-3 2.809000+0 1.852010-3 2.904500+0 2.385850-3 3.000000+0 2.978000-3 3.125000+0 3.839810-3 3.234400+0 4.671870-3 3.425800+0 6.290310-3 3.569300+0 7.626620-3 3.784700+0 9.802040-3 4.000000+0 1.214000-2 4.250000+0 1.499770-2 4.625000+0 1.948680-2 5.000000+0 2.415000-2 5.500000+0 3.054370-2 6.000000+0 3.702000-2 6.750000+0 4.666000-2 7.000000+0 4.983000-2 8.000000+0 6.221000-2 9.000000+0 7.403000-2 1.000000+1 8.524000-2 1.100000+1 9.584000-2 1.200000+1 1.058000-1 1.300000+1 1.152000-1 1.400000+1 1.241000-1 1.500000+1 1.325000-1 1.600000+1 1.405000-1 1.800000+1 1.553000-1 2.000000+1 1.687000-1 2.200000+1 1.810000-1 2.400000+1 1.922000-1 2.600000+1 2.025000-1 2.800000+1 2.121000-1 3.000000+1 2.210000-1 4.000000+1 2.575000-1 5.000000+1 2.850000-1 6.000000+1 3.067000-1 8.000000+1 3.390000-1 1.000000+2 3.623000-1 1.500000+2 4.005000-1 2.000000+2 4.241000-1 3.000000+2 4.527000-1 4.000000+2 4.698000-1 5.000000+2 4.814000-1 6.000000+2 4.898000-1 8.000000+2 5.015000-1 1.000000+3 5.092000-1 1.500000+3 5.206000-1 2.000000+3 5.271000-1 3.000000+3 5.341000-1 4.000000+3 5.383000-1 5.000000+3 5.408000-1 6.000000+3 5.426000-1 8.000000+3 5.450000-1 1.000000+4 5.465000-1 1.500000+4 5.485000-1 2.000000+4 5.497000-1 3.000000+4 5.508000-1 4.000000+4 5.515000-1 5.000000+4 5.520000-1 6.000000+4 5.522000-1 8.000000+4 5.525000-1 1.000000+5 5.528000-1 1 74000 7 8 1.838500+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 74000 7 9 1.838500+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 7.400000+1 1.000000+5 7.400000+1 5.000000+5 7.396000+1 8.750000+5 7.392690+1 1.000000+6 7.391900+1 1.375000+6 7.388970+1 1.500000+6 7.387300+1 1.875000+6 7.380260+1 2.000000+6 7.377500+1 2.500000+6 7.365100+1 3.000000+6 7.350200+1 3.500000+6 7.332570+1 4.000000+6 7.313200+1 4.500000+6 7.292540+1 5.000000+6 7.269700+1 5.500000+6 7.244290+1 5.875000+6 7.223820+1 6.437500+6 7.191330+1 6.500000+6 7.187380+1 7.000000+6 7.157200+1 7.500000+6 7.125270+1 8.250000+6 7.076900+1 9.000000+6 7.028000+1 1.000000+7 6.960500+1 1.125000+7 6.871740+1 1.187500+7 6.826410+1 1.250000+7 6.780500+1 1.500000+7 6.595300+1 1.750000+7 6.414900+1 2.000000+7 6.232100+1 2.375000+7 5.961300+1 2.500000+7 5.873300+1 2.875000+7 5.612280+1 3.000000+7 5.527500+1 3.437500+7 5.236310+1 3.500000+7 5.196180+1 3.812500+7 5.000000+1 4.000000+7 4.887600+1 4.500000+7 4.603850+1 5.000000+7 4.342400+1 5.500000+7 4.100160+1 6.000000+7 3.874000+1 6.500000+7 3.661690+1 6.750000+7 3.560090+1 7.000000+7 3.462100+1 7.750000+7 3.184790+1 8.000000+7 3.098600+1 8.750000+7 2.856340+1 9.000000+7 2.781400+1 1.000000+8 2.508300+1 1.250000+8 1.999400+1 1.375000+8 1.826630+1 1.500000+8 1.693200+1 1.718800+8 1.519020+1 1.812500+8 1.455260+1 1.906300+8 1.393000+1 1.937500+8 1.372500+1 2.000000+8 1.331500+1 2.250000+8 1.173120+1 2.500000+8 1.046300+1 2.718800+8 9.602190+0 2.815400+8 9.222370+0 2.875000+8 8.974920+0 2.881300+8 8.948220+0 2.960400+8 8.597380+0 3.000000+8 8.412800+0 3.062500+8 8.109070+0 3.335900+8 6.874790+0 3.418000+8 6.591140+0 3.500000+8 6.362100+0 3.562500+8 6.225850+0 3.671900+8 6.047960+0 4.000000+8 5.642400+0 4.125000+8 5.464450+0 4.234400+8 5.293810+0 5.000000+8 4.203100+0 5.250000+8 3.973590+0 5.718800+8 3.624140+0 5.906300+8 3.486460+0 6.000000+8 3.415000+0 6.250000+8 3.217000+0 6.718800+8 2.873200+0 7.000000+8 2.710000+0 7.250000+8 2.596860+0 7.718800+8 2.412200+0 7.906300+8 2.334580+0 8.000000+8 2.293300+0 8.125000+8 2.235050+0 8.359400+8 2.120090+0 8.564500+8 2.017910+0 9.461700+8 1.624550+0 9.730800+8 1.534770+0 1.000000+9 1.459800+0 1.015600+9 1.423170+0 1.045900+9 1.364130+0 1.074300+9 1.320290+0 1.113400+9 1.273770+0 1.149200+9 1.241670+0 1.193100+9 1.211890+0 1.249300+9 1.183690+0 1.375000+9 1.135930+0 1.392600+9 1.129210+0 1.446300+9 1.106990+0 1.500000+9 1.081200+0 1.562500+9 1.045570+0 1.617200+9 1.011070+0 1.665000+9 9.792260-1 1.748800+9 9.218930-1 1.811600+9 8.789260-1 1.905800+9 8.164640-1 2.000000+9 7.577700-1 2.139200+9 6.792860-1 2.272600+9 6.127020-1 2.443000+9 5.384140-1 2.602800+9 4.782610-1 2.825100+9 4.074070-1 2.961100+9 3.703050-1 3.215900+9 3.112180-1 3.438900+9 2.687400-1 3.500000+9 2.583680-1 3.719500+9 2.249360-1 3.954200+9 1.948720-1 4.215700+9 1.670190-1 4.495800+9 1.424240-1 4.831900+9 1.185550-1 5.000000+9 1.084900-1 5.375000+9 8.958660-2 5.703100+9 7.632890-2 6.277300+9 5.857520-2 7.138700+9 4.074830-2 8.000000+9 2.939400-2 1.00000+10 1.541800-2 1.27030+10 7.724620-3 1.84370+10 2.647880-3 2.45630+10 1.166060-3 3.39920+10 4.628250-4 5.04940+10 1.511550-4 7.52470+10 4.928690-5 1.00000+11 2.226800-5 1.34280+11 9.812550-6 2.20600+11 2.488620-6 4.19930+11 4.261320-7 1.03480+12 3.680880-8 3.24440+12 1.704830-9 1.00000+14 1.85870-13 3.16230+15 1.80404-17 1.00000+17 1.65630-21 1 74000 7 0 1.838500+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 8.30000-12 1.000000+2 8.30000-10 1.000000+3 8.300000-8 1.000000+4 8.300000-6 1.000000+5 8.300000-4 5.000000+5 2.075000-2 8.750000+5 6.354688-2 1.000000+6 8.300000-2 1.375000+6 1.565180-1 1.500000+6 1.859000-1 1.875000+6 2.875950-1 2.000000+6 3.259000-1 2.500000+6 5.001000-1 3.000000+6 7.049000-1 3.500000+6 9.357710-1 4.000000+6 1.188400+0 4.500000+6 1.458220+0 5.000000+6 1.741000+0 5.500000+6 2.032570+0 5.875000+6 2.255080+0 6.437500+6 2.591960+0 6.500000+6 2.629340+0 7.000000+6 2.929100+0 7.500000+6 3.226180+0 8.250000+6 3.665470+0 9.000000+6 4.094600+0 1.000000+7 4.649000+0 1.125000+7 5.317170+0 1.187500+7 5.643700+0 1.250000+7 5.966600+0 1.500000+7 7.238000+0 1.750000+7 8.505700+0 2.000000+7 9.773000+0 2.375000+7 1.165100+1 2.500000+7 1.226800+1 2.875000+7 1.407810+1 3.000000+7 1.467100+1 3.437500+7 1.669920+1 3.500000+7 1.698400+1 3.812500+7 1.837730+1 4.000000+7 1.919300+1 4.500000+7 2.128010+1 5.000000+7 2.322400+1 5.500000+7 2.501320+1 6.000000+7 2.666200+1 6.500000+7 2.818810+1 6.750000+7 2.891520+1 7.000000+7 2.962100+1 7.750000+7 3.163060+1 8.000000+7 3.227300+1 8.750000+7 3.412190+1 9.000000+7 3.471900+1 1.000000+8 3.700300+1 1.250000+8 4.212300+1 1.375000+8 4.441030+1 1.500000+8 4.652600+1 1.718800+8 4.979940+1 1.812500+8 5.104060+1 1.906300+8 5.219310+1 1.937500+8 5.256200+1 2.000000+8 5.326200+1 2.250000+8 5.570780+1 2.500000+8 5.770700+1 2.718800+8 5.917180+1 2.815400+8 5.975200+1 2.875000+8 6.008770+1 2.881300+8 6.012290+1 2.960400+8 6.055580+1 3.000000+8 6.076400+1 3.062500+8 6.107570+1 3.335900+8 6.234180+1 3.418000+8 6.268570+1 3.500000+8 6.301800+1 3.562500+8 6.325560+1 3.671900+8 6.366370+1 4.000000+8 6.477500+1 4.125000+8 6.515410+1 4.234400+8 6.547840+1 5.000000+8 6.738800+1 5.250000+8 6.790510+1 5.718800+8 6.875220+1 5.906300+8 6.905350+1 6.000000+8 6.920100+1 6.250000+8 6.955690+1 6.718800+8 7.013250+1 7.000000+8 7.043500+1 7.250000+8 7.066660+1 7.718800+8 7.105480+1 7.906300+8 7.119150+1 8.000000+8 7.125600+1 8.125000+8 7.133330+1 8.359400+8 7.147550+1 8.564500+8 7.159170+1 9.461700+8 7.200370+1 9.730800+8 7.210820+1 1.000000+9 7.221000+1 1.015600+9 7.226120+1 1.045900+9 7.235870+1 1.074300+9 7.244340+1 1.113400+9 7.254870+1 1.149200+9 7.264210+1 1.193100+9 7.274490+1 1.249300+9 7.286060+1 1.375000+9 7.308370+1 1.392600+9 7.311040+1 1.446300+9 7.319010+1 1.500000+9 7.326700+1 1.562500+9 7.333820+1 1.617200+9 7.339830+1 1.665000+9 7.344930+1 1.748800+9 7.352840+1 1.811600+9 7.357630+1 1.905800+9 7.364530+1 2.000000+9 7.371100+1 2.139200+9 7.377990+1 2.272600+9 7.383040+1 2.443000+9 7.388280+1 2.602800+9 7.392190+1 2.825100+9 7.395870+1 2.961100+9 7.397080+1 3.215900+9 7.398900+1 3.438900+9 7.400020+1 3.500000+9 7.400010+1 3.719500+9 7.399980+1 3.954200+9 7.399940+1 4.215700+9 7.399900+1 4.495800+9 7.399860+1 4.831900+9 7.399820+1 5.000000+9 7.399800+1 5.375000+9 7.399830+1 5.703100+9 7.399860+1 6.277300+9 7.399900+1 7.138700+9 7.399950+1 8.000000+9 7.400000+1 1.00000+10 7.400000+1 1.27030+10 7.400000+1 1.84370+10 7.400000+1 2.45630+10 7.400000+1 3.39920+10 7.400000+1 5.04940+10 7.400000+1 7.52470+10 7.400000+1 1.00000+11 7.400000+1 1.34280+11 7.400000+1 2.20600+11 7.400000+1 4.19930+11 7.400000+1 1.03480+12 7.400000+1 3.24440+12 7.400000+1 1.00000+14 7.400000+1 3.16230+15 7.400000+1 1.00000+17 7.400000+1 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.015839-6 0.0 3.588543-6 0.0 3.597375-6 8.77815-14 3.606208-6 1.73695-13 3.615041-6 3.17269-13 3.623874-6 5.34959-13 3.632706-6 8.32659-13 3.641539-6 1.19638-12 3.650372-6 1.58680-12 3.659205-6 1.94281-12 3.668037-6 2.19580-12 3.676870-6 2.29092-12 3.685703-6 2.20638-12 3.694535-6 1.96157-12 3.703368-6 1.60984-12 3.721034-6 8.52905-13 3.729866-6 5.50606-13 3.738699-6 3.28122-13 3.747532-6 1.80502-13 3.756365-6 9.16611-14 3.765197-6 0.0 3.913133-6 0.0 3.927581-6 2.955461+0 3.932397-6 3.928119+0 3.942028-6 7.175030+0 3.951660-6 1.209809+1 3.962496-6 1.985659+1 3.979201-6 3.464128+1 3.990187-6 4.393668+1 4.000420-6 5.019612+1 4.010471-6 5.261144+1 4.020812-6 5.081814+1 4.031701-6 4.528999+1 4.057608-6 2.842187+1 4.067240-6 2.396562+1 4.077504-6 2.076975+1 4.084789-6 1.916904+1 4.092374-6 1.775369+1 4.103025-6 1.473881+1 4.106120-6 1.364595+1 4.112647-6 1.249890+1 4.127392-6 8.904127+0 4.140907-6 5.558943+0 4.150736-6 3.588660+0 4.160566-6 2.138585+0 4.170395-6 1.176453+0 4.184525-6 3.363921-1 4.190054-6 0.0 4.318057-6 0.0 4.336656-6 6.938043+0 4.339313-6 7.919079+0 4.349942-6 1.446484+1 4.360570-6 2.438972+1 4.372527-6 4.003083+1 4.391147-6 7.015019+1 4.403748-6 8.929555+1 4.415432-6 1.008111+2 4.424889-6 1.042483+2 4.436278-6 9.913763+1 4.449292-6 8.387326+1 4.477482-6 4.006543+1 4.488110-6 2.709128+1 4.498738-6 1.806528+1 4.509367-6 1.272873+1 4.530623-6 7.546570+0 4.537634-6 8.393112+0 4.545843-6 9.187485+0 4.556790-6 9.585460+0 4.567737-6 9.231733+0 4.578683-6 8.207434+0 4.595103-6 5.920307+0 4.611523-6 3.568649+0 4.622469-6 2.303795+0 4.633416-6 1.372897+0 4.644362-6 7.552421-1 4.660782-6 1.919856-1 4.666255-6 0.0 4.852248-6 0.0 4.864191-6 6.072617-2 4.876134-6 1.201603-1 4.888078-6 2.194827-1 4.900021-6 3.700780-1 4.911964-6 5.760233-1 4.929879-6 9.625219-1 4.947794-6 1.344014+0 4.959737-6 1.519030+0 4.971680-6 1.584829+0 4.985215-6 1.503818+0 4.997486-6 1.317967+0 5.031396-6 5.900293-1 5.043339-6 3.809027-1 5.055282-6 2.269911-1 5.067226-6 1.248702-1 5.083379-6 4.109136-2 5.091112-6 1.256022-6 5.095650-6 1.312005-6 5.107920-6 1.368837-6 5.120190-6 1.318324-6 5.132461-6 1.172050-6 5.144731-6 9.618878-7 5.169397-6 5.077854-7 5.181543-6 3.289901-7 5.193813-6 1.960545-7 5.206084-6 1.078512-7 5.218354-6 5.476804-8 5.230625-6 0.0 5.309806-6 0.0 5.322875-6 1.83569-14 5.335945-6 3.63233-14 5.349014-6 6.63474-14 5.362084-6 1.11871-13 5.375153-6 1.74126-13 5.388222-6 2.50187-13 5.401292-6 3.31833-13 5.414361-6 4.06282-13 5.427431-6 4.59187-13 5.440500-6 4.79078-13 5.453569-6 4.61399-13 5.466639-6 4.10205-13 5.479708-6 3.36650-13 5.505847-6 1.78360-13 5.518916-6 1.15143-13 5.531986-6 6.86169-14 5.545055-6 3.77467-14 5.558125-6 1.91682-14 5.571194-6 0.0 5.688905-6 0.0 5.702907-6 1.61306-14 5.716910-6 3.19180-14 5.730912-6 5.83008-14 5.744915-6 9.83032-14 5.758917-6 1.53008-13 5.783773-6 2.75255-13 5.787391-6 2.93771-13 5.815881-6 1.570296-1 5.830126-6 2.868274-1 5.844370-6 4.836305-1 5.858615-6 7.527670-1 5.901534-6 1.759357+0 5.917717-6 1.997245+0 5.932101-6 2.058246+0 5.946485-6 1.956846+0 5.961328-6 1.705232+0 6.001116-6 7.700934-1 6.013495-6 5.326546-1 6.016609-6 4.932348-1 6.029674-6 3.670240-1 6.043953-6 2.981892-1 6.058232-6 3.223110-1 6.072701-6 3.994401-1 6.088530-6 6.405274-1 6.112293-6 1.095644+0 6.134924-6 1.945677+0 6.143854-6 2.258525+0 6.161124-6 2.972686+0 6.175426-6 3.701768+0 6.213504-6 6.125784+0 6.234624-6 7.469664+0 6.250079-6 8.029961+0 6.263514-6 8.114537+0 6.281772-6 7.463314+0 6.297359-6 6.407276+0 6.336902-6 2.993669+0 6.352683-6 1.892621+0 6.367727-6 1.127869+0 6.382771-6 6.267506-1 6.403896-6 2.136634-1 6.412859-6 5.317629-2 6.423748-6 8.947088-2 6.435421-6 1.367371-1 6.439521-6 1.587221-1 6.451183-6 2.294529-1 6.466946-6 3.573706-1 6.517256-6 8.930886-1 6.534155-6 1.020701+0 6.549928-6 1.077251+0 6.564337-6 1.093374+0 6.589359-6 9.906867-1 6.613017-6 8.703685-1 6.628790-6 8.341209-1 6.646173-6 8.567643-1 6.703381-6 1.158593+0 6.728487-6 1.202843+0 6.765709-6 1.399490+0 6.781541-6 1.565284+0 6.798852-6 1.849896+0 6.850558-6 2.964457+0 6.858587-6 3.096581+0 6.879967-6 3.248656+0 6.899204-6 3.120925+0 6.917865-6 2.779936+0 6.969447-6 1.469646+0 6.981227-6 1.227796+0 6.994607-6 9.959761-1 7.011823-6 7.873916-1 7.026591-6 6.972523-1 7.056229-6 6.418291-1 7.060666-6 6.420647-1 7.073456-6 7.122460-1 7.085579-6 7.962926-1 7.113889-6 1.073212+0 7.153015-6 1.496252+0 7.175117-6 1.627703+0 7.192360-6 1.661886+0 7.218341-6 1.568428+0 7.264946-6 1.308503+0 7.283548-6 1.284706+0 7.307343-6 1.345406+0 7.386261-6 1.787447+0 7.413900-6 1.822637+0 7.465972-6 1.666527+0 7.528876-6 1.389385+0 7.567854-6 1.341052+0 7.593909-6 1.348007+0 7.642690-6 1.462045+0 7.690864-6 1.611266+0 7.711420-6 1.658446+0 7.756289-6 1.637633+0 7.815203-6 1.536670+0 8.140946-6 1.580601+0 8.307073-6 1.600862+0 9.354439-6 1.876718+0 1.057971-5 2.313653+0 1.231673-5 3.083779+0 1.758270-5 5.744228+0 1.985124-5 6.620236+0 2.242711-5 7.149099+0 2.506767-5 7.179468+0 2.866095-5 6.667624+0 3.487041-5 5.319190+0 3.504207-5 6.442243+0 3.512790-5 7.382455+0 3.521373-5 8.817353+0 3.531645-5 1.127143+1 3.555704-5 1.814121+1 3.565360-5 1.988850+1 3.573943-5 2.035546+1 3.581989-5 1.974268+1 3.592986-5 1.738204+1 3.615785-5 1.074159+1 3.624367-5 8.706860+0 3.632950-5 7.204860+0 3.636405-5 6.802013+0 3.641533-5 6.448604+0 3.650332-5 6.240314+0 3.654306-5 6.434574+0 3.658699-5 6.787313+0 3.663256-5 7.472312+0 3.668301-5 8.433851+0 3.672207-5 9.370963+0 3.677286-5 1.081207+1 3.686271-5 1.411585+1 3.703118-5 2.219464+1 3.713226-5 2.729094+1 3.723436-5 3.105806+1 3.732641-5 3.272694+1 3.736683-5 3.302025+1 3.744930-5 3.719176+1 3.755750-5 4.089514+1 3.763797-5 4.577902+1 3.773568-5 5.715908+1 3.783026-5 7.443701+1 3.810352-5 1.422375+2 3.820205-5 1.583062+2 3.828665-5 1.629723+2 3.838210-5 1.556537+2 3.847770-5 1.369104+2 3.874287-5 6.314118+1 3.883753-5 4.186693+1 3.892543-5 2.716089+1 3.901740-5 1.694294+1 3.920132-5 4.459371+0 4.097194-5 4.183001+0 4.182995-5 4.278145+0 4.234800-5 4.167095+0 4.267307-5 4.465601+0 4.289014-5 5.005354+0 4.330476-5 6.393532+0 4.344826-5 6.557026+0 4.381916-5 6.480805+0 4.433926-5 7.124061+0 4.669096-5 7.014572+0 4.692081-5 1.372290+1 4.704292-5 1.979623+1 4.715784-5 2.840591+1 4.727995-5 4.095586+1 4.761487-5 8.253002+1 4.774453-5 9.254086+1 4.785318-5 9.522304+1 4.796567-5 9.142996+1 4.808675-5 8.074428+1 4.841482-5 3.979661+1 4.852974-5 2.806730+1 4.864467-5 1.942947+1 4.875959-5 1.369131+1 4.898944-5 6.658733+0 5.253760-5 5.961876+0 5.305215-5 6.034164+0 5.384605-5 6.652692+0 5.495643-5 7.079924+0 5.656055-5 7.016442+0 6.680240-5 5.421647+0 7.177821-5 4.886744+0 7.779699-5 4.562574+0 8.020424-5 4.539826+0 8.159698-5 4.729605+0 8.304506-5 4.582046+0 9.120108-5 4.900583+0 9.919702-5 5.553705+0 1.098562-4 6.831076+0 1.603245-4 1.453963+1 1.850729-4 1.770257+1 2.172485-4 2.059082+1 2.408607-4 2.220838+1 2.449159-4 2.320143+1 2.522841-4 2.341292+1 2.575000-4 2.444576+1 4.051382-4 2.447003+1 4.127496-4 2.603459+1 4.195600-4 2.535219+1 5.234089-4 2.432286+1 5.762558-4 2.344074+1 5.888437-4 2.360086+1 8.640000-4 1.818269+1 1.074608-3 1.500475+1 1.302423-3 1.241454+1 1.591751-3 1.002139+1 1.774224-3 8.912384+0 1.785516-3 9.158803+0 1.792328-3 9.726483+0 1.798871-3 1.083603+1 1.804847-3 1.245614+1 1.815606-3 1.657048+1 1.828072-3 2.128894+1 1.838508-3 2.363138+1 1.870869-3 2.647896+1 1.901734-3 3.108894+1 1.929000-3 3.238859+1 1.995262-3 3.318092+1 2.089296-3 3.205487+1 2.221894-3 2.948777+1 2.244881-3 3.047250+1 2.270140-3 3.244742+1 2.309019-3 3.205678+1 2.512055-3 2.859273+1 2.579039-3 2.918799+1 2.766072-3 2.670781+1 2.835144-3 2.673891+1 3.311311-3 2.166576+1 3.857460-3 1.746881+1 4.398066-3 1.441706+1 5.121638-3 1.149573+1 5.726003-3 9.702548+0 6.479522-3 8.022715+0 7.365250-3 6.569330+0 8.296281-3 5.443949+0 9.450551-3 4.421024+0 9.956831-3 4.078733+0 1.002681-2 4.229579+0 1.006538-2 4.530147+0 1.010497-2 5.116117+0 1.014119-2 5.930398+0 1.023965-2 8.584654+0 1.028692-2 9.409957+0 1.035479-2 9.867710+0 1.086822-2 9.254825+0 1.135818-2 8.676507+0 1.145602-2 9.016875+0 1.165031-2 1.093074+1 1.176797-2 1.117362+1 1.197565-2 1.119071+1 1.218005-2 1.202349+1 1.247071-2 1.183027+1 1.443630-2 9.417708+0 1.661958-2 7.519646+0 1.898521-2 6.054127+0 2.137962-2 4.973908+0 2.384460-2 4.146320+0 2.665211-2 3.435783+0 2.934797-2 2.916141+0 3.274576-2 2.416083+0 3.712680-2 1.945471+0 4.190345-2 1.574749+0 4.716521-2 1.280263+0 5.279322-2 1.048886+0 6.014725-2 8.321469-1 6.772641-2 6.745760-1 6.825582-2 6.822446-1 6.851162-2 7.165498-1 6.872882-2 7.871234-1 6.893074-2 9.077119-1 6.913631-2 1.100730+0 6.938224-2 1.428404+0 6.999916-2 2.437659+0 7.034849-2 2.847964+0 7.072207-2 3.061002+0 7.129377-2 3.121314+0 8.446954-2 2.390108+0 9.455516-2 1.989710+0 1.076542-1 1.603397+0 1.220425-1 1.298933+0 1.376052-1 1.058919+0 1.548817-1 8.654117-1 1.734044-1 7.135809-1 1.953286-1 5.825506-1 2.159608-1 4.912076-1 2.415939-1 4.064244-1 2.703461-1 3.368858-1 3.062792-1 2.746537-1 3.450568-1 2.271031-1 3.903508-1 1.874959-1 4.432965-1 1.549786-1 5.051132-1 1.285007-1 5.698771-1 1.088838-1 6.493816-1 9.183690-2 7.537248-1 7.649589-2 8.709636-1 6.484801-2 1.021086+0 5.492070-2 1.228714+0 4.465836-2 1.410753+0 3.826426-2 1.619761+0 3.278566-2 1.859734+0 2.809147-2 2.135261+0 2.406939-2 2.451607+0 2.062318-2 2.814822+0 1.767039-2 3.231848+0 1.514038-2 3.710658+0 1.297261-2 4.300658+0 1.100334-2 5.122134+0 9.045623-3 5.880996+0 7.750488-3 6.752287+0 6.640788-3 7.752663+0 5.689972-3 8.901248+0 4.875293-3 9.760024+0 4.398059-3 1.000000+1 9.083136-3 1 74000 7 0 1.838500+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-7.386586+1 3.015839-6-7.158170+1 3.572438-6-6.786441+1 3.774443-6-6.329076+1 3.861846-6-5.802923+1 3.898336-6-5.313536+1 3.913735-6-4.881040+1 3.942028-6-3.929127+1 3.954971-6-3.506410+1 3.964602-6-3.349840+1 3.973331-6-3.410494+1 3.980555-6-3.646207+1 3.990187-6-4.221867+1 3.999818-6-5.071667+1 4.022383-6-7.418385+1 4.034783-6-6.482772+1 4.048844-6-5.966615+1 4.064983-6-5.928120+1 4.092374-6-6.087364+1 4.107942-6-6.134432+1 4.139678-6-6.391965+1 4.193022-6-7.401738+1 4.276642-6-5.982425+1 4.301793-6-5.303892+1 4.316127-6-4.667204+1 4.322146-6-4.243140+1 4.339313-6-3.308218+1 4.351270-6-2.537250+1 4.361898-6-1.946360+1 4.364223-6-1.849919+1 4.372527-6-1.614142+1 4.376595-6-1.603824+1 4.383155-6-1.735743+1 4.387224-6-1.930442+1 4.391147-6-2.212563+1 4.398599-6-2.990689+1 4.403083-6-3.634245+1 4.412661-6-5.273723+1 4.423137-6-7.439465+1 4.424889-6-6.992804+1 4.438263-6-4.222629+1 4.449292-6-2.508707+1 4.453220-6-2.053054+1 4.459640-6-1.472301+1 4.463830-6-1.214541+1 4.467871-6-1.060176+1 4.473350-6-9.959419+0 4.476449-6-1.021676+1 4.485453-6-1.300244+1 4.488110-6-1.446883+1 4.489439-6-1.536123+1 4.497576-6-1.973504+1 4.502392-6-2.306788+1 4.513186-6-2.944899+1 4.529806-6-3.713448+1 4.534897-6-3.994093+1 4.545843-6-4.264939+1 4.567737-6-4.415261+1 4.600576-6-4.565281+1 4.680426-6-5.525219+1 4.763330-6-6.005223+1 4.941822-6-6.509367+1 5.055282-6-6.508942+1 5.505847-6-6.921899+1 5.912323-6-7.177302+1 6.010401-6-7.095614+1 6.187788-6-7.457309+1 6.246778-6-7.153347+1 6.312067-6-6.608307+1 6.367727-6-6.681580+1 6.494442-6-7.037548+1 6.855880-6-7.142763+1 6.969447-6-6.949672+1 7.175117-6-7.129725+1 1.621810-5-7.300457+1 2.661271-5-7.009836+1 3.185672-5-6.419269+1 3.388793-5-5.883145+1 3.468127-5-5.409683+1 3.521373-5-4.638038+1 3.540145-5-4.483664+1 3.555704-5-4.635161+1 3.591109-5-5.539826+1 3.607202-5-5.594670+1 3.624367-5-5.272019+1 3.650332-5-4.330713+1 3.686271-5-2.790705+1 3.699748-5-2.406366+1 3.710699-5-2.253739+1 3.725440-5-2.253138+1 3.732641-5-2.183947+1 3.735762-5-2.064445+1 3.738465-5-1.899460+1 3.743811-5-1.747360+1 3.746888-5-1.677871+1 3.752762-5-1.453927+1 3.754600-5-1.337579+1 3.761785-5-8.610618+0 3.762791-5-7.814713+0 3.763797-5-6.789330+0 3.772993-5 5.039367-1 3.773568-5 1.155479+0 3.774645-5 2.006899+0 3.782189-5 5.928678+0 3.783026-5 6.488134+0 3.784596-5 6.892409+0 3.785970-5 6.931344+0 3.788374-5 6.498156+0 3.790177-5 5.822041+0 3.792882-5 4.311901+0 3.795586-5 2.302729+0 3.797360-5 6.735663-1 3.798912-5-1.040767+0 3.800270-5-2.737933+0 3.801459-5-4.375509+0 3.803539-5-7.601316+0 3.805098-5-1.034853+1 3.807145-5-1.445744+1 3.809120-5-1.917688+1 3.810352-5-2.289660+1 3.816549-5-4.015766+1 3.819117-5-4.926845+1 3.824869-5-6.888446+1 3.828242-5-5.615840+1 3.837654-5-2.222343+1 3.839254-5-1.654385+1 3.840168-5-1.363867+1 3.846562-5 5.056648+0 3.846974-5 6.419407+0 3.847770-5 8.655577+0 3.849264-5 1.233055+1 3.850571-5 1.519695+1 3.852858-5 1.963501+1 3.857147-5 2.640439+1 3.861541-5 3.166834+1 3.865922-5 3.509401+1 3.869582-5 3.656815+1 3.873111-5 3.654708+1 3.882570-5 3.138215+1 3.888698-5 2.549645+1 3.891582-5 2.262472+1 3.901740-5 1.120543+1 3.902573-5 1.012212+1 3.905700-5 6.936656+0 3.915079-5-1.451993+0 3.917606-5-3.937390+0 3.918875-5-5.358530+0 3.919500-5-6.147523+0 3.920696-5-8.024846+0 3.921683-5-9.235532+0 3.924645-5-1.214579+1 3.927036-5-1.410639+1 3.934211-5-1.889183+1 3.945571-5-2.456130+1 3.962908-5-3.078657+1 3.982040-5-3.574646+1 4.016279-5-4.193352+1 4.066215-5-4.782700+1 4.153179-5-5.425357+1 4.320975-5-6.266101+1 4.506858-5-6.762834+1 4.586518-5-7.219531+1 4.637614-5-6.378006+1 4.663818-5-5.620683+1 4.682499-5-4.741593+1 4.705638-5-3.625667+1 4.719488-5-3.061836+1 4.727995-5-2.877940+1 4.735222-5-2.907006+1 4.742017-5-3.086161+1 4.750190-5-3.525926+1 4.757625-5-4.182230+1 4.771207-5-5.969603+1 4.777122-5-6.957845+1 4.783460-5-5.980224+1 4.789241-5-4.957880+1 4.795872-5-3.858625+1 4.799014-5-3.360187+1 4.808675-5-2.044612+1 4.812547-5-1.632219+1 4.816894-5-1.263083+1 4.822082-5-9.168995+0 4.825195-5-7.501239+0 4.827231-5-6.573278+0 4.830794-5-5.298011+0 4.833466-5-4.621283+0 4.835470-5-4.278667+0 4.838476-5-4.065356+0 4.839979-5-4.127928+0 4.847228-5-5.491238+0 4.850101-5-6.170661+0 4.851538-5-6.629370+0 4.854411-5-7.978796+0 4.861953-5-1.086182+1 4.879910-5-1.955445+1 4.897507-5-2.667507+1 4.901843-5-2.919102+1 4.914057-5-3.332644+1 4.936381-5-3.798184+1 4.977344-5-4.297485+1 5.040681-5-4.722795+1 5.167000-5-5.150544+1 5.384605-5-5.537647+1 9.605058-5-6.240853+1 1.312200-4-6.471405+1 1.850729-4-6.205890+1 2.408607-4-5.769845+1 2.884032-4-5.134638+1 3.676146-4-4.563288+1 4.028516-4-4.451571+1 4.108770-4-4.435025+1 4.175937-4-4.286723+1 5.523885-4-3.574708+1 6.008278-4-3.403098+1 7.136837-4-3.053419+1 8.640000-4-2.802935+1 1.074608-3-2.669065+1 1.302423-3-2.714628+1 1.491935-3-2.909648+1 1.629572-3-3.217275+1 1.711951-3-3.573204+1 1.756393-3-3.925450+1 1.782634-3-4.325894+1 1.810555-3-5.023831+1 1.822424-3-5.057245+1 1.855003-3-4.568133+1 1.883195-3-4.463366+1 1.929000-3-3.838087+1 1.995262-3-3.238235+1 2.070000-3-2.744534+1 2.140271-3-2.469633+1 2.207984-3-2.346333+1 2.244881-3-2.393897+1 2.270140-3-2.429931+1 2.285630-3-2.359186+1 2.320732-3-2.114142+1 2.378659-3-1.890079+1 2.460168-3-1.705139+1 2.527056-3-1.633365+1 2.567642-3-1.622979+1 2.635234-3-1.438630+1 2.722087-3-1.304815+1 2.798790-3-1.257828+1 2.880509-3-1.097457+1 3.006371-3-9.441182+0 3.145728-3-8.231162+0 3.398208-3-6.718151+0 3.665315-3-5.674737+0 3.963921-3-4.903227+0 4.271939-3-4.420122+0 4.677351-3-4.080731+0 5.121638-3-3.925209+0 5.726003-3-3.973858+0 6.479522-3-4.258938+0 7.365250-3-4.819522+0 8.296281-3-5.683023+0 8.976871-3-6.630399+0 9.450551-3-7.657617+0 9.747793-3-8.705665+0 9.930140-3-9.805764+0 1.002681-2-1.086701+1 1.016200-2-1.301623+1 1.022363-2-1.319798+1 1.030061-2-1.223181+1 1.042149-2-1.035674+1 1.052363-2-9.466157+0 1.071240-2-8.589266+0 1.096624-2-8.066298+0 1.120074-2-8.041320+0 1.135818-2-8.424105+0 1.154270-2-9.425355+0 1.162098-2-9.285721+0 1.180542-2-7.988962+0 1.192795-2-7.676826+0 1.206201-2-7.534978+0 1.218005-2-6.924802+0 1.233926-2-5.944360+0 1.255759-2-5.097566+0 1.288676-2-4.242291+0 1.335442-2-3.384746+0 1.387768-2-2.707674+0 1.443630-2-2.174391+0 1.497215-2-1.782361+0 1.562248-2-1.420346+0 1.625989-2-1.149232+0 1.705349-2-9.026270-1 1.762438-2-7.686562-1 1.830535-2-6.465825-1 1.898521-2-5.550191-1 1.984784-2-4.676453-1 2.047372-2-4.233241-1 2.137962-2-3.859025-1 2.262876-2-3.597092-1 2.384460-2-3.578699-1 2.505369-2-3.714250-1 2.748289-2-4.325840-1 3.274576-2-6.226155-1 5.109091-2-1.368549+0 5.695322-2-1.664394+0 6.136484-2-1.974370+0 6.438775-2-2.300870+0 6.621133-2-2.614377+0 6.742977-2-2.952945+0 6.825582-2-3.361754+0 6.896573-2-4.000031+0 6.945896-2-4.404077+0 6.974178-2-4.442105+0 7.010100-2-4.239480+0 7.095999-2-3.355890+0 7.151289-2-2.965585+0 7.236809-2-2.585109+0 7.367445-2-2.212998+0 7.539483-2-1.889373+0 7.746445-2-1.614391+0 7.909772-2-1.446204+0 8.253945-2-1.193144+0 8.647190-2-9.974671-1 9.164765-2-8.229729-1 9.685003-2-7.042460-1 1.023293-1-6.166888-1 1.103602-1-5.385474-1 1.186642-1-4.928931-1 1.283346-1-4.647221-1 1.436876-1-4.538147-1 1.734044-1-4.769180-1 2.703461-1-5.883278-1 3.739491-1-6.600637-1 5.462247-1-7.162090-1 9.166353-1-7.546474-1 2.814822+0-7.737399-1 8.500626+0-7.773310-1 1.000000+1-7.766112-1 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 8.788178-3 1.069950-6 1.166324-2 1.137867-6 1.508058-2 1.210094-6 1.959801-2 1.286907-6 2.560499-2 1.368596-6 3.362846-2 1.455469-6 4.439787-2 1.500953-6 5.114353-2 1.646110-6 7.761544-2 1.697551-6 8.944064-2 1.750600-6 1.032946-1 1.805306-6 1.195636-1 1.861722-6 1.387165-1 1.919900-6 1.613253-1 1.979897-6 1.881272-1 2.105574-6 2.574455-1 2.170084-6 3.014119-1 2.232578-6 3.507122-1 2.351769-6 4.648682-1 2.408585-6 5.304188-1 2.463626-6 6.025363-1 2.516947-6 6.816709-1 2.568601-6 7.682362-1 2.618642-6 8.626553-1 2.667118-6 9.653603-1 2.714080-6 1.076793+0 2.759574-6 1.197404+0 2.846342-6 1.467897+0 2.927771-6 1.778305+0 3.004191-6 2.132773+0 3.075909-6 2.537209+0 3.110096-6 2.761354+0 3.176333-6 3.258786+0 3.238431-6 3.816153+0 3.296647-6 4.440609+0 3.351225-6 5.136961+0 3.402392-6 5.910089+0 3.450361-6 6.764957+0 3.495332-6 7.706600+0 3.537492-6 8.740049+0 3.577017-6 9.869897+0 3.614072-6 1.110029+1 3.648810-6 1.243633+1 3.681378-6 1.388418+1 3.711910-6 1.544975+1 3.740534-6 1.713855+1 3.767369-6 1.895616+1 3.792527-6 2.090819+1 3.816112-6 2.299947+1 3.840000-6 2.542705+1 3.858953-6 2.761857+1 3.878387-6 3.015804+1 3.896606-6 3.285877+1 3.913686-6 3.572625+1 3.929699-6 3.876592+1 3.944711-6 4.198336+1 3.958785-6 4.538440+1 3.971980-6 4.897523+1 3.984349-6 5.276239+1 3.995946-6 5.675266+1 4.006817-6 6.095293+1 4.017010-6 6.537033+1 4.026565-6 7.001254+1 4.035523-6 7.488857+1 4.043921-6 8.000950+1 4.059668-6 9.144589+1 4.073446-6 1.041567+2 4.085502-6 1.183302+2 4.096051-6 1.341122+2 4.105281-6 1.515289+2 4.113358-6 1.704446+2 4.120425-6 1.905694+2 4.126608-6 2.115050+2 4.132019-6 2.328055+2 4.136753-6 2.540333+2 4.144520-6 2.947857+2 4.155621-6 3.676561+2 4.171738-6 5.083364+2 4.180157-6 5.988391+2 4.185289-6 6.593202+2 4.190421-6 7.233344+2 4.200684-6 8.593946+2 4.201967-6 8.769043+2 4.210948-6 1.000203+3 4.214476-6 1.048095+3 4.221212-6 1.136523+3 4.224740-6 1.180414+3 4.228108-6 1.220197+3 4.231475-6 1.257512+3 4.235966-6 1.302752+3 4.240296-6 1.340742+3 4.244305-6 1.370349+3 4.247673-6 1.390698+3 4.252644-6 1.412630+3 4.258658-6 1.425451+3 4.263209-6 1.424789+3 4.269471-6 1.409126+3 4.274525-6 1.384269+3 4.279371-6 1.350679+3 4.284238-6 1.307999+3 4.286275-6 1.287680+3 4.293378-6 1.206800+3 4.297968-6 1.147453+3 4.301314-6 1.101401+3 4.305727-6 1.037817+3 4.309164-6 9.866019+2 4.313585-6 9.193747+2 4.318075-6 8.503661+2 4.322766-6 7.784861+2 4.328980-6 6.851697+2 4.333470-6 6.200775+2 4.339565-6 5.360657+2 4.344376-6 4.739557+2 4.354639-6 3.557774+2 4.358588-6 3.158419+2 4.361746-6 2.861701+2 4.364903-6 2.584920+2 4.369393-6 2.225035+2 4.374355-6 1.872041+2 4.378449-6 1.614431+2 4.382741-6 1.375167+2 4.386933-6 1.169983+2 4.391039-6 9.943913+1 4.396371-6 8.005314+1 4.404061-6 5.809768+1 4.411396-6 4.275618+1 4.416088-6 3.535093+1 4.419505-6 3.098106+1 4.422012-6 2.826944+1 4.424205-6 2.621553+1 4.426365-6 2.446234+1 4.428500-6 2.297748+1 4.430602-6 2.174183+1 4.432671-6 2.073146+1 4.436745-6 1.929419+1 4.440691-6 1.853707+1 4.444513-6 1.833931+1 4.451920-6 1.928019+1 4.458863-6 2.155699+1 4.484902-6 4.044640+1 4.494666-6 5.188238+1 4.510686-6 7.744125+1 4.527959-6 1.189765+2 4.536724-6 1.484763+2 4.543297-6 1.757984+2 4.548227-6 1.998940+2 4.556250-6 2.471630+2 4.568633-6 3.452325+2 4.591095-6 6.366713+2 4.599519-6 7.973411+2 4.607942-6 9.927976+2 4.615242-6 1.193107+3 4.620454-6 1.354705+3 4.630405-6 1.707178+3 4.636422-6 1.947842+3 4.647778-6 2.453483+3 4.649197-6 2.520839+3 4.659134-6 3.011854+3 4.663037-6 3.211475+3 4.671494-6 3.648136+3 4.675026-6 3.829252+3 4.680072-6 4.083381+3 4.683317-6 4.242247+3 4.688811-6 4.499891+3 4.692502-6 4.662810+3 4.697776-6 4.878107+3 4.702651-6 5.055505+3 4.705268-6 5.141115+3 4.711922-6 5.325079+3 4.717118-6 5.432198+3 4.722585-6 5.507775+3 4.728025-6 5.543645+3 4.739153-6 5.493263+3 4.742209-6 5.450939+3 4.750457-6 5.279430+3 4.754612-6 5.163673+3 4.759236-6 5.014211+3 4.762208-6 4.907716+3 4.767539-6 4.698816+3 4.771409-6 4.534796+3 4.776939-6 4.285976+3 4.782717-6 4.012714+3 4.789728-6 3.670515+3 4.795406-6 3.390768+3 4.801794-6 3.079135+3 4.806762-6 2.842377+3 4.818118-6 2.331605+3 4.822022-6 2.168410+3 4.829475-6 1.877337+3 4.837992-6 1.579769+3 4.847858-6 1.282946+3 4.857601-6 1.038579+3 4.879506-6 6.430039+2 4.887464-6 5.422812+2 4.894924-6 4.640487+2 4.901919-6 4.026790+2 4.908476-6 3.539781+2 4.914623-6 3.148447+2 4.926149-6 2.550953+2 4.936235-6 2.140069+2 4.945060-6 1.844090+2 4.960503-6 1.429713+2 4.983668-6 9.803866+1 4.993803-6 8.355198+1 5.000318-6 7.585251+1 5.003576-6 7.249470+1 5.007603-6 6.881483+1 5.011575-6 6.571697+1 5.015366-6 6.327253+1 5.019157-6 6.135050+1 5.025319-6 5.939811+1 5.028400-6 5.899094+1 5.031481-6 5.897823+1 5.043804-6 6.306468+1 5.046335-6 6.475129+1 5.048783-6 6.666366+1 5.054292-6 7.197672+1 5.057959-6 7.628423+1 5.061422-6 8.090864+1 5.070446-6 9.538544+1 5.084453-6 1.239221+2 5.091228-6 1.397413+2 5.098346-6 1.572307+2 5.104443-6 1.725451+2 5.111777-6 1.908700+2 5.117327-6 2.043190+2 5.120277-6 2.112212+2 5.125781-6 2.234833+2 5.130840-6 2.338795+2 5.142394-6 2.536365+2 5.147135-6 2.598737+2 5.154717-6 2.673296+2 5.158954-6 2.700944+2 5.162997-6 2.717830+2 5.167041-6 2.725479+2 5.172433-6 2.721593+2 5.175899-6 2.710868+2 5.179365-6 2.693980+2 5.185527-6 2.649652+2 5.191688-6 2.588664+2 5.197850-6 2.513208+2 5.204012-6 2.425666+2 5.207093-6 2.378135+2 5.214025-6 2.264008+2 5.216336-6 2.224212+2 5.228659-6 2.003522+2 5.231740-6 1.947391+2 5.240983-6 1.780395+2 5.253307-6 1.567734+2 5.281889-6 1.154576+2 5.291292-6 1.047006+2 5.300400-6 9.555856+1 5.309224-6 8.779921+1 5.317772-6 8.119973+1 5.334335-6 7.056153+1 5.349862-6 6.259942+1 5.364418-6 5.642648+1 5.378065-6 5.147485+1 5.403653-6 4.369737+1 5.493210-6 2.348675+1 5.515599-6 1.917736+1 5.523995-6 1.764447+1 5.549708-6 1.351443+1 5.557973-6 1.249257+1 5.564171-6 1.187748+1 5.568820-6 1.151976+1 5.572307-6 1.131839+1 5.574922-6 1.120888+1 5.576883-6 1.115181+1 5.579825-6 1.110912+1 5.582767-6 1.112130+1 5.585236-6 1.117670+1 5.588054-6 1.129347+1 5.592281-6 1.158295+1 5.596509-6 1.202011+1 5.603379-6 1.307554+1 5.606814-6 1.377603+1 5.610679-6 1.471096+1 5.613071-6 1.537058+1 5.615801-6 1.620150+1 5.619896-6 1.760835+1 5.626215-6 2.016929+1 5.643243-6 2.949591+1 5.653196-6 3.654289+1 5.659913-6 4.189375+1 5.666581-6 4.761017+1 5.672814-6 5.324823+1 5.678931-6 5.898296+1 5.685030-6 6.481895+1 5.690801-6 7.036857+1 5.693335-6 7.279267+1 5.699887-6 7.896543+1 5.706093-6 8.459937+1 5.709260-6 8.736140+1 5.714720-6 9.189774+1 5.720609-6 9.640998+1 5.725185-6 9.959914+1 5.732829-6 1.042242+2 5.739208-6 1.073441+2 5.748758-6 1.106552+2 5.754409-6 1.118192+2 5.761151-6 1.124312+2 5.768157-6 1.121929+2 5.773340-6 1.114688+2 5.780141-6 1.098591+2 5.786700-6 1.076605+2 5.788886-6 1.067996+2 5.799192-6 1.019962+2 5.806063-6 9.822708+1 5.816369-6 9.197345+1 5.830110-6 8.301759+1 5.840226-6 7.633450+1 5.852843-6 6.825993+1 5.889542-6 4.859817+1 5.896842-6 4.551059+1 5.910530-6 4.042980+1 5.922506-6 3.666709+1 5.943465-6 3.132846+1 5.959184-6 2.811466+1 6.006342-6 2.087057+1 6.034000-6 1.766516+1 6.041417-6 1.692137+1 6.056251-6 1.560017+1 6.071084-6 1.452978+1 6.085918-6 1.374454+1 6.093335-6 1.346689+1 6.100752-6 1.326783+1 6.106717-6 1.316443+1 6.111191-6 1.311936+1 6.117901-6 1.310198+1 6.124612-6 1.314135+1 6.129772-6 1.320698+1 6.141383-6 1.345032+1 6.160086-6 1.402848+1 6.174920-6 1.453070+1 6.189754-6 1.495416+1 6.193462-6 1.503609+1 6.204587-6 1.520380+1 6.212670-6 1.524068+1 6.220384-6 1.520152+1 6.228099-6 1.508613+1 6.233347-6 1.496352+1 6.241217-6 1.471349+1 6.249088-6 1.438708+1 6.256505-6 1.401427+1 6.263922-6 1.358399+1 6.278756-6 1.257866+1 6.293589-6 1.143164+1 6.308423-6 1.020650+1 6.319548-6 9.273232+0 6.323257-6 8.964208+0 6.339843-6 7.623768+0 6.355448-6 6.471793+0 6.371052-6 5.485349+0 6.386657-6 4.726157+0 6.402262-6 4.264064+0 6.417866-6 4.180845+0 6.421343-6 4.223270+0 6.433510-6 4.573476+0 6.436552-6 4.714172+0 6.441115-6 4.968428+0 6.445678-6 5.277049+0 6.449580-6 5.586204+0 6.454770-6 6.065351+0 6.459106-6 6.527564+0 6.466272-6 7.421470+0 6.477408-6 9.151356+0 6.494978-6 1.277786+1 6.500546-6 1.416250+1 6.513306-6 1.775488+1 6.520496-6 2.002188+1 6.529837-6 2.319939+1 6.536151-6 2.547557+1 6.542567-6 2.787291+1 6.549400-6 3.049575+1 6.557058-6 3.348398+1 6.564791-6 3.650814+1 6.572188-6 3.935937+1 6.574325-6 4.016887+1 6.582862-6 4.330487+1 6.590598-6 4.596743+1 6.595473-6 4.753278+1 6.602711-6 4.966575+1 6.606098-6 5.057659+1 6.620728-6 5.377605+1 6.627809-6 5.485501+1 6.639131-6 5.589700+1 6.647131-6 5.611814+1 6.651697-6 5.605536+1 6.655692-6 5.589047+1 6.662683-6 5.536351+1 6.667926-6 5.477869+1 6.671859-6 5.423974+1 6.680707-6 5.273832+1 6.683656-6 5.215654+1 6.695555-6 4.945908+1 6.699521-6 4.845364+1 6.711420-6 4.520134+1 6.715387-6 4.405794+1 6.731252-6 3.933293+1 6.736065-6 3.788371+1 6.750505-6 3.360134+1 6.762982-6 3.007162+1 6.773468-6 2.728462+1 6.790791-6 2.311042+1 6.815828-6 1.809416+1 6.838802-6 1.452235+1 6.845514-6 1.365425+1 6.865653-6 1.150321+1 6.872467-6 1.092594+1 6.889300-6 9.820807+0 6.893508-6 9.615338+0 6.906133-6 9.166462+0 6.910787-6 9.063350+0 6.917769-6 8.969936+0 6.924751-6 8.947664+0 6.932306-6 8.999664+0 6.936617-6 9.062713+0 6.944163-6 9.226851+0 6.949821-6 9.390864+0 6.954065-6 9.534352+0 6.963615-6 9.911401+0 6.994373-6 1.138851+1 7.007296-6 1.198571+1 7.011262-6 1.215164+1 7.026101-6 1.266701+1 7.032046-6 1.281780+1 7.043395-6 1.300479+1 7.047279-6 1.303721+1 7.054074-6 1.305506+1 7.059171-6 1.303669+1 7.066816-6 1.296083+1 7.074461-6 1.283216+1 7.083997-6 1.260952+1 7.093533-6 1.233539+1 7.124960-6 1.134516+1 7.129168-6 1.123223+1 7.141793-6 1.096182+1 7.148411-6 1.087021+1 7.154728-6 1.081992+1 7.161046-6 1.080834+1 7.165265-6 1.082287+1 7.171595-6 1.087842+1 7.181133-6 1.103727+1 7.190962-6 1.128918+1 7.200440-6 1.160549+1 7.216770-6 1.227267+1 7.228224-6 1.278732+1 7.247806-6 1.363395+1 7.263036-6 1.416258+1 7.267387-6 1.428071+1 7.280442-6 1.452681+1 7.286088-6 1.457805+1 7.291028-6 1.459378+1 7.299674-6 1.455441+1 7.306159-6 1.446872+1 7.315885-6 1.425179+1 7.325612-6 1.393435+1 7.332659-6 1.364683+1 7.345713-6 1.300394+1 7.350065-6 1.276257+1 7.363208-6 1.197132+1 7.367728-6 1.168276+1 7.379351-6 1.091870+1 7.384876-6 1.055036+1 7.397917-6 9.688092+0 7.423193-6 8.148440+0 7.433708-6 7.595439+0 7.443508-6 7.139418+0 7.451826-6 6.801425+0 7.459054-6 6.546037+0 7.466282-6 6.327051+0 7.471410-6 6.193879+0 7.480385-6 6.004856+0 7.487115-6 5.899173+0 7.497212-6 5.796423+0 7.502260-6 5.769014+0 7.507308-6 5.756754+0 7.518924-6 5.782149+0 7.524732-6 5.820545+0 7.530540-6 5.874348+0 7.539766-6 5.988119+0 7.548991-6 6.131652+0 7.571241-6 6.564948+0 7.589731-6 6.971963+0 7.606341-6 7.333529+0 7.614646-6 7.502612+0 7.622951-6 7.659020+0 7.651954-6 8.060240+0 7.657223-6 8.103023+0 7.673033-6 8.166777+0 7.679002-6 8.164696+0 7.696910-6 8.072166+0 7.702333-6 8.019574+0 7.712229-6 7.896754+0 7.718942-6 7.795545+0 7.734958-6 7.507517+0 7.755426-6 7.084855+0 7.781152-6 6.579057+0 7.796653-6 6.351818+0 7.814260-6 6.215306+0 7.833650-6 6.256085+0 7.842145-6 6.344115+0 7.850507-6 6.473457+0 7.858548-6 6.637013+0 7.864758-6 6.788550+0 7.870776-6 6.955202+0 7.879892-6 7.241597+0 7.893052-6 7.716201+0 7.909260-6 8.370550+0 7.930088-6 9.252771+0 7.948949-6 1.001206+1 7.954060-6 1.020167+1 7.968742-6 1.069144+1 7.977367-6 1.093469+1 7.993832-6 1.129474+1 8.000955-6 1.140581+1 8.015014-6 1.154520+1 8.022768-6 1.157798+1 8.036791-6 1.156311+1 8.050813-6 1.146286+1 8.070380-6 1.120724+1 8.085631-6 1.093837+1 8.097911-6 1.069172+1 8.126708-6 1.005899+1 8.197033-6 8.574005+0 8.238353-6 7.874493+0 8.254700-6 7.634639+0 8.281863-6 7.273757+0 8.382363-6 6.144241+0 8.441613-6 5.541367+0 8.453345-6 5.438184+0 8.469497-6 5.313104+0 8.488763-6 5.197555+0 8.500000-6 5.150866+0 8.515638-6 5.115238+0 8.527758-6 5.113071+0 8.548449-6 5.162970+0 8.560403-6 5.222065+0 8.572231-6 5.300666+0 8.583820-6 5.394804+0 8.609897-6 5.651816+0 8.634499-6 5.917448+0 8.653624-6 6.110736+0 8.674627-6 6.284054+0 8.693280-6 6.387601+0 8.706719-6 6.427330+0 8.720158-6 6.436268+0 8.738044-6 6.401547+0 8.755930-6 6.319076+0 8.776814-6 6.175662+0 8.797014-6 6.006796+0 8.839464-6 5.641948+0 8.857466-6 5.512001+0 8.870804-6 5.432057+0 8.887340-6 5.354439+0 8.911336-6 5.283718+0 8.935333-6 5.255379+0 8.969016-6 5.260433+0 9.006963-6 5.281463+0 9.028409-6 5.284337+0 9.049699-6 5.276149+0 9.076455-6 5.250604+0 9.192410-6 5.068529+0 9.479636-6 4.709553+0 9.537536-6 4.650097+0 9.748448-6 4.496349+0 9.978117-6 4.380616+0 1.013403-5 4.327193+0 1.029237-5 4.297567+0 1.043552-5 4.290208+0 1.061401-5 4.300000+0 1.071776-5 4.318889+0 1.094569-5 4.388487+0 1.130532-5 4.575876+0 1.147513-5 4.699941+0 1.165989-5 4.872375+0 1.200425-5 5.269918+0 1.216251-5 5.487358+0 1.276572-5 6.485176+0 1.288250-5 6.709823+0 1.334317-5 7.716193+0 1.403157-5 9.554418+0 1.524554-5 1.372840+1 1.614794-5 1.758720+1 1.661775-5 1.984787+1 1.757924-5 2.495014+1 1.850000-5 3.034668+1 1.927525-5 3.519060+1 2.000000-5 3.986577+1 2.072324-5 4.455818+1 2.130000-5 4.824685+1 2.162719-5 5.032924+1 2.210000-5 5.325666+1 2.256362-5 5.605621+1 2.304000-5 5.881517+1 2.385183-5 6.305589+1 2.460883-5 6.652483+1 2.552613-5 6.989747+1 2.646877-5 7.238984+1 2.717344-5 7.357685+1 2.756958-5 7.395530+1 2.818383-5 7.414285+1 2.933778-5 7.374399+1 2.939393-5 7.381687+1 3.073662-5 7.885177+1 3.147732-5 8.273090+1 3.236663-5 8.872327+1 3.300000-5 9.409703+1 3.350574-5 9.932971+1 3.399891-5 1.055415+2 3.447401-5 1.128563+2 3.487063-5 1.202073+2 3.527341-5 1.291640+2 3.557644-5 1.371861+2 3.578629-5 1.435758+2 3.603460-5 1.521960+2 3.634039-5 1.646940+2 3.662976-5 1.789374+2 3.686400-5 1.927065+2 3.705574-5 2.058801+2 3.728319-5 2.243233+2 3.748666-5 2.441308+2 3.765881-5 2.640591+2 3.781822-5 2.858720+2 3.795770-5 3.083822+2 3.807975-5 3.314699+2 3.818654-5 3.550091+2 3.827999-5 3.788479+2 3.836175-5 4.027905+2 3.849589-5 4.500014+2 3.855067-5 4.727354+2 3.864652-5 5.183534+2 3.871841-5 5.581157+2 3.881277-5 6.184947+2 3.893409-5 7.112354+2 3.912575-5 8.953053+2 3.931741-5 1.129488+3 3.941324-5 1.270195+3 3.950907-5 1.433893+3 3.955699-5 1.527409+3 3.960491-5 1.630910+3 3.966287-5 1.772382+3 3.970074-5 1.876241+3 3.979657-5 2.189067+3 3.985646-5 2.428411+3 3.991930-5 2.722592+3 3.998823-5 3.102248+3 4.016286-5 4.357413+3 4.024891-5 5.126971+3 4.035340-5 6.165377+3 4.038509-5 6.495374+3 4.045294-5 7.211218+3 4.050894-5 7.798387+3 4.056322-5 8.350265+3 4.060480-5 8.753160+3 4.064963-5 9.160664+3 4.070223-5 9.593539+3 4.075072-5 9.940203+3 4.081322-5 1.030008+4 4.085989-5 1.049753+4 4.091497-5 1.064568+4 4.095932-5 1.069540+4 4.100643-5 1.067908+4 4.105025-5 1.060040+4 4.106988-5 1.054572+4 4.114013-5 1.025574+4 4.117938-5 1.003357+4 4.120585-5 9.861509+3 4.124462-5 9.579966+3 4.128226-5 9.276277+3 4.133067-5 8.848403+3 4.137369-5 8.439287+3 4.141518-5 8.025269+3 4.147818-5 7.372643+3 4.152735-5 6.853884+3 4.158267-5 6.271720+3 4.162569-5 5.826479+3 4.172403-5 4.857288+3 4.179010-5 4.258943+3 4.187154-5 3.592796+3 4.195898-5 2.972165+3 4.217488-5 1.847123+3 4.222833-5 1.647381+3 4.228179-5 1.473593+3 4.233382-5 1.326628+3 4.238586-5 1.198962+3 4.243789-5 1.088138+3 4.248993-5 9.918718+2 4.254197-5 9.080829+2 4.264604-5 7.707188+2 4.269807-5 7.140886+2 4.280214-5 6.188610+2 4.293218-5 5.246689+2 4.321843-5 3.777401+2 4.330159-5 3.466879+2 4.338556-5 3.203732+2 4.349270-5 2.945804+2 4.351475-5 2.904171+2 4.362133-5 2.761065+2 4.363465-5 2.750128+2 4.372791-5 2.717584+2 4.377214-5 2.728876+2 4.384286-5 2.781237+2 4.389593-5 2.846425+2 4.393227-5 2.902651+2 4.397309-5 2.975777+2 4.404004-5 3.114864+2 4.421125-5 3.528225+2 4.426748-5 3.663463+2 4.435803-5 3.859423+2 4.437406-5 3.890014+2 4.448064-5 4.051139+2 4.451499-5 4.085076+2 4.459028-5 4.125066+2 4.464038-5 4.124627+2 4.470015-5 4.096018+2 4.473602-5 4.064773+2 4.478025-5 4.012689+2 4.483829-5 3.923861+2 4.490360-5 3.800740+2 4.500689-5 3.571746+2 4.524457-5 3.029842+2 4.535512-5 2.838904+2 4.544133-5 2.736715+2 4.549425-5 2.696331+2 4.553910-5 2.675484+2 4.560065-5 2.666093+2 4.564631-5 2.672461+2 4.571060-5 2.698302+2 4.579121-5 2.752977+2 4.602531-5 2.968596+2 4.614277-5 3.056051+2 4.616695-5 3.069227+2 4.625641-5 3.100111+2 4.631586-5 3.103827+2 4.636441-5 3.096585+2 4.642813-5 3.073363+2 4.651006-5 3.022255+2 4.657114-5 2.970508+2 4.665793-5 2.880816+2 4.668686-5 2.847554+2 4.683361-5 2.662482+2 4.698540-5 2.460188+2 4.757794-5 1.781356+2 4.843322-5 1.137845+2 4.854048-5 1.073043+2 4.888830-5 8.822186+1 4.897663-5 8.431170+1 4.904666-5 8.173894+1 4.915200-5 7.913358+1 4.927082-5 7.886551+1 4.934386-5 8.069826+1 4.941928-5 8.473725+1 4.948457-5 9.044531+1 4.954339-5 9.774108+1 4.957705-5 1.029892+2 4.962961-5 1.129740+2 4.968377-5 1.258705+2 4.971658-5 1.351405+2 4.977303-5 1.540047+2 4.980979-5 1.684935+2 4.986483-5 1.938447+2 4.989785-5 2.113744+2 4.999801-5 2.767460+2 5.013359-5 4.001753+2 5.023253-5 5.208166+2 5.030960-5 6.353038+2 5.054841-5 1.117153+3 5.058432-5 1.206671+3 5.065875-5 1.405658+3 5.069907-5 1.520574+3 5.080093-5 1.830191+3 5.084082-5 1.957704+3 5.092760-5 2.243211+3 5.096948-5 2.383324+3 5.102085-5 2.555417+3 5.105771-5 2.678151+3 5.110864-5 2.845207+3 5.115124-5 2.981474+3 5.120188-5 3.137606+3 5.125695-5 3.298124+3 5.131654-5 3.458247+3 5.139081-5 3.633783+3 5.145516-5 3.760750+3 5.150753-5 3.844867+3 5.156780-5 3.918684+3 5.168374-5 3.987459+3 5.174326-5 3.984526+3 5.182365-5 3.940160+3 5.188486-5 3.876739+3 5.194948-5 3.784170+3 5.199988-5 3.695424+3 5.204104-5 3.613333+3 5.209507-5 3.494069+3 5.216452-5 3.324719+3 5.222497-5 3.166062+3 5.230038-5 2.958352+3 5.237891-5 2.736293+3 5.240509-5 2.662013+3 5.253943-5 2.288275+3 5.259416-5 2.143026+3 5.275431-5 1.754913+3 5.294824-5 1.374356+3 5.306015-5 1.200925+3 5.313016-5 1.108443+3 5.321056-5 1.016035+3 5.332520-5 9.068649+2 5.343604-5 8.225728+2 5.356154-5 7.472158+2 5.371036-5 6.787649+2 5.388663-5 6.183334+2 5.407153-5 5.709063+2 5.430625-5 5.255019+2 5.454576-5 4.898862+2 5.483091-5 4.564045+2 5.519570-5 4.227276+2 5.564000-5 3.907187+2 5.614978-5 3.618395+2 5.686622-5 3.292701+2 5.733842-5 3.106452+2 5.777795-5 2.957337+2 5.802952-5 2.889002+2 5.821032-5 2.849458+2 5.840408-5 2.816078+2 5.865654-5 2.784853+2 5.886376-5 2.767072+2 5.989978-5 2.719706+2 6.131403-5 2.679839+2 6.197058-5 2.654942+2 6.610000-5 2.473118+2 6.986158-5 2.317503+2 7.260463-5 2.205718+2 7.483300-5 2.113261+2 7.690808-5 2.028035+2 7.900000-5 1.942596+2 8.305201-5 1.780782+2 8.471665-5 1.713421+2 8.650000-5 1.640617+2 8.689589-5 1.629644+2 8.825794-5 1.610655+2 8.870406-5 1.601742+2 8.943698-5 1.578682+2 9.098850-5 1.524897+2 9.716280-5 1.354785+2 1.029050-4 1.226661+2 1.057333-4 1.175540+2 1.080000-4 1.140266+2 1.113148-4 1.097704+2 1.139180-4 1.071627+2 1.172507-4 1.049614+2 1.211716-4 1.036786+2 1.260000-4 1.044676+2 1.297463-4 1.067982+2 1.333521-4 1.104051+2 1.380384-4 1.169971+2 1.430000-4 1.259950+2 1.484587-4 1.380326+2 1.552107-4 1.554924+2 1.603245-4 1.703118+2 1.834165-4 2.518816+2 1.918557-4 2.863239+2 2.000000-4 3.209292+2 2.100010-4 3.639201+2 2.220000-4 4.147583+2 2.330000-4 4.594979+2 2.430000-4 4.970149+2 2.499964-4 5.200555+2 2.551202-4 5.348922+2 2.570021-4 5.435450+2 2.585209-4 5.541008+2 2.621579-4 5.861606+2 2.635352-4 5.959171+2 2.653179-4 6.051505+2 2.674300-4 6.142689+2 2.687316-4 6.209887+2 2.706053-4 6.335338+2 2.728250-4 6.508058+2 2.745153-4 6.623568+2 2.757139-4 6.686106+2 2.807709-4 6.865807+2 2.904858-4 7.296991+2 3.001431-4 7.662769+2 3.114618-4 8.041350+2 3.280000-4 8.539997+2 3.489905-4 9.125022+2 3.745468-4 9.777018+2 3.976829-4 1.030518+3 4.161645-4 1.064013+3 4.237802-4 1.080077+3 4.265817-4 1.092055+3 4.323608-4 1.121510+3 4.346283-4 1.125880+3 4.413990-4 1.119794+3 4.440061-4 1.124658+3 4.480528-4 1.142772+3 4.533235-4 1.169371+3 4.612348-4 1.198884+3 4.786099-4 1.245079+3 5.174122-4 1.325537+3 5.282992-4 1.352016+3 5.527134-4 1.399316+3 5.795617-4 1.437736+3 6.062857-4 1.467317+3 6.200845-4 1.490737+3 6.330805-4 1.516011+3 6.601246-4 1.554583+3 6.958250-4 1.592503+3 7.372800-4 1.624204+3 7.852356-4 1.649364+3 8.365656-4 1.668703+3 8.963962-4 1.682823+3 9.584346-4 1.687675+3 1.025873-3 1.684554+3 1.100430-3 1.670707+3 1.180980-3 1.639536+3 1.255844-3 1.602729+3 1.338328-3 1.554317+3 1.410534-3 1.503112+3 1.480706-3 1.443956+3 1.539100-3 1.384085+3 1.594088-3 1.317121+3 1.642952-3 1.247983+3 1.680617-3 1.186892+3 1.714293-3 1.124087+3 1.746157-3 1.055071+3 1.764423-3 1.009550+3 1.786486-3 9.464688+2 1.801461-3 8.968594+2 1.818384-3 8.310687+2 1.832109-3 7.665188+2 1.841941-3 7.122362+2 1.849635-3 6.656559+2 1.861221-3 5.957767+2 1.866622-3 5.682294+2 1.870767-3 5.516927+2 1.873057-3 5.448104+2 1.875382-3 5.397266+2 1.877447-3 5.369719+2 1.879686-3 5.359876+2 1.882301-3 5.376073+2 1.884997-3 5.424927+2 1.887785-3 5.509916+2 1.890495-3 5.625242+2 1.893497-3 5.788323+2 1.895858-3 5.940362+2 1.898634-3 6.142331+2 1.907143-3 6.870408+2 1.913006-3 7.412367+2 1.917032-3 7.778028+2 1.919913-3 8.030011+2 1.923218-3 8.305512+2 1.927525-3 8.640267+2 1.931898-3 8.952491+2 1.937228-3 9.301950+2 1.949549-3 1.005349+3 1.962050-3 1.086866+3 1.980533-3 1.222448+3 1.987431-3 1.272071+3 1.996230-3 1.330256+3 2.007504-3 1.394231+3 2.018911-3 1.447684+3 2.035870-3 1.512557+3 2.060927-3 1.591747+3 2.093266-3 1.679105+3 2.124438-3 1.749885+3 2.148751-3 1.795516+3 2.188396-3 1.856625+3 2.238721-3 1.917116+3 2.260624-3 1.934478+3 2.319989-3 1.958746+3 2.339174-3 1.980906+3 2.354297-3 2.010703+3 2.375068-3 2.066790+3 2.400808-3 2.144267+3 2.413138-3 2.177308+3 2.429210-3 2.213018+3 2.447745-3 2.244563+3 2.473350-3 2.276251+3 2.501830-3 2.301418+3 2.534095-3 2.321488+3 2.563349-3 2.333001+3 2.652118-3 2.346824+3 2.677904-3 2.363367+3 2.730549-3 2.417972+3 2.751257-3 2.434892+3 2.774647-3 2.447994+3 2.808730-3 2.458533+3 2.879920-3 2.461529+3 2.911790-3 2.473322+3 2.970648-3 2.521264+3 2.995085-3 2.536420+3 3.024870-3 2.548976+3 3.123831-3 2.570911+3 3.249026-3 2.578381+3 3.410972-3 2.566849+3 3.572878-3 2.545806+3 3.748920-3 2.513196+3 4.048030-3 2.446058+3 4.355746-3 2.366966+3 4.617444-3 2.295360+3 5.138884-3 2.150310+3 5.516890-3 2.047361+3 5.925403-3 1.940877+3 6.493816-3 1.798717+3 7.053399-3 1.666360+3 7.377848-3 1.593096+3 7.671458-3 1.529022+3 8.005684-3 1.457764+3 8.315300-3 1.393608+3 8.607518-3 1.333440+3 8.877792-3 1.278145+3 9.108637-3 1.230419+3 9.315619-3 1.186918+3 9.488280-3 1.149584+3 9.645865-3 1.114162+3 9.769079-3 1.085015+3 9.880955-3 1.056893+3 9.976641-3 1.031001+3 1.005768-2 1.007052+3 1.013736-2 9.807205+2 1.020051-2 9.567511+2 1.025149-2 9.345397+2 1.031715-2 9.017741+2 1.041595-2 8.505405+2 1.045443-2 8.351439+2 1.049257-2 8.254901+2 1.051281-2 8.231285+2 1.054761-2 8.238184+2 1.058531-2 8.309123+2 1.063202-2 8.466829+2 1.072782-2 8.874319+2 1.078279-2 9.075729+2 1.082293-2 9.191589+2 1.087035-2 9.295552+2 1.092700-2 9.381386+2 1.098911-2 9.440321+2 1.106486-2 9.477702+2 1.114336-2 9.487721+2 1.123866-2 9.469721+2 1.131983-2 9.432707+2 1.141153-2 9.369518+2 1.149363-2 9.293005+2 1.157910-2 9.189010+2 1.164926-2 9.080227+2 1.175459-2 8.873888+2 1.188326-2 8.617015+2 1.194606-2 8.548231+2 1.200351-2 8.541408+2 1.206087-2 8.584406+2 1.221512-2 8.782540+2 1.230131-2 8.845896+2 1.248373-2 8.918329+2 1.260121-2 9.042589+2 1.276475-2 9.251792+2 1.289913-2 9.357676+2 1.307970-2 9.416274+2 1.330364-2 9.422950+2 1.356363-2 9.384531+2 1.395587-2 9.273659+2 1.452829-2 9.043950+2 1.524307-2 8.705659+2 1.605265-2 8.301566+2 1.712055-2 7.770516+2 1.830473-2 7.211266+2 2.044311-2 6.319698+2 2.263015-2 5.557481+2 2.473687-2 4.941740+2 2.728585-2 4.314871+2 3.041872-2 3.687127+2 3.412758-2 3.103116+2 3.710010-2 2.726054+2 4.028676-2 2.384529+2 4.698988-2 1.835162+2 5.293586-2 1.491951+2 5.688529-2 1.309523+2 5.900930-2 1.222222+2 6.221112-2 1.101327+2 6.464414-2 1.015676+2 6.649779-2 9.516857+1 6.785762-2 9.033337+1 6.846276-2 8.805476+1 6.896390-2 8.604455+1 6.936641-2 8.429347+1 6.971015-2 8.265086+1 7.019525-2 8.002699+1 7.117748-2 7.430020+1 7.146121-2 7.313057+1 7.173573-2 7.248406+1 7.194825-2 7.235156+1 7.218076-2 7.255597+1 7.251948-2 7.336139+1 7.331067-2 7.597414+1 7.372292-2 7.700847+1 7.422567-2 7.777787+1 7.492651-2 7.820163+1 7.583734-2 7.814696+1 7.683590-2 7.767693+1 7.845768-2 7.645520+1 8.097529-2 7.405902+1 8.343326-2 7.145144+1 8.736682-2 6.716423+1 9.372161-2 6.056746+1 1.018518-1 5.316047+1 1.092000-1 4.737742+1 1.198254-1 4.038557+1 1.410304-1 3.021651+1 1.830592-1 1.883173+1 2.229565-1 1.309595+1 2.706084-1 9.098054+0 3.551286-1 5.409133+0 4.988024-1 2.799525+0 7.477390-1 1.267270+0 1.228714+0 4.755898-1 2.235892+0 1.446941-1 6.752287+0 1.591478-2 2.039158+1 1.745506-3 6.158159+1 1.913968-4 1.859734+2 2.098631-5 5.616308+2 2.301104-6 1.995262+3 1.823216-7 6.309573+3 1.823216-8 1.995262+4 1.823216-9 6.309573+4 1.82322-10 1.000000+5 7.25835-11 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.736200-6 1.258900-6 2.751700-6 1.584900-6 4.361100-6 1.995300-6 6.911900-6 2.511900-6 1.095500-5 3.162300-6 1.736200-5 3.981100-6 2.751700-5 5.011900-6 4.361100-5 6.309600-6 6.911800-5 7.943300-6 1.095400-4 1.000000-5 1.736100-4 1.258900-5 2.751500-4 1.584900-5 4.360800-4 1.995300-5 6.911200-4 2.511900-5 1.095300-3 3.162300-5 1.735700-3 3.981100-5 2.749400-3 5.011900-5 4.355300-3 6.309600-5 6.899900-3 7.943300-5 1.093100-2 1.000000-4 1.730100-2 1.258900-4 2.737500-2 1.584900-4 4.324300-2 1.995300-4 6.823600-2 2.511900-4 1.073400-1 3.162300-4 1.682100-1 3.981100-4 2.619400-1 5.011900-4 4.036900-1 6.309600-4 6.114000-1 7.943300-4 9.050900-1 1.000000-3 1.301700+0 1.258900-3 1.810200+0 1.584900-3 2.435100+0 1.995300-3 3.191600+0 2.511900-3 4.119100+0 3.162300-3 5.258800+0 3.981100-3 6.648700+0 5.011900-3 8.322100+0 6.309600-3 1.029000+1 7.943300-3 1.249400+1 1.000000-2 1.484500+1 1.258900-2 1.730800+1 1.584900-2 1.987600+1 1.995300-2 2.251700+1 2.511900-2 2.511300+1 3.162300-2 2.745700+1 3.981100-2 2.937400+1 5.011900-2 3.078100+1 6.309600-2 3.165800+1 7.943300-2 3.199600+1 1.000000-1 3.181100+1 1.258900-1 3.111300+1 1.584900-1 2.998800+1 1.995300-1 2.853800+1 2.511900-1 2.686200+1 3.162300-1 2.504300+1 3.981100-1 2.314400+1 5.011900-1 2.122800+1 6.309600-1 1.933300+1 7.943300-1 1.748500+1 1.000000+0 1.570600+1 1.258900+0 1.402700+1 1.584900+0 1.243900+1 1.995300+0 1.095800+1 2.511900+0 9.590800+0 3.162300+0 8.341500+0 3.981100+0 7.211700+0 5.011900+0 6.199800+0 6.309600+0 5.301600+0 7.943300+0 4.512100+0 1.000000+1 3.822900+0 1.258900+1 3.226000+0 1.584900+1 2.712200+0 1.995300+1 2.272700+0 2.511900+1 1.898700+0 3.162300+1 1.582000+0 3.981100+1 1.314900+0 5.011900+1 1.090400+0 6.309600+1 9.024800-1 7.943300+1 7.455700-1 1.000000+2 6.149200-1 1.258900+2 5.064000-1 1.584900+2 4.164500-1 1.995300+2 3.420500-1 2.511900+2 2.806100-1 3.162300+2 2.299500-1 3.981100+2 1.882500-1 5.011900+2 1.539700-1 6.309600+2 1.258200-1 7.943300+2 1.027300-1 1.000000+3 8.381800-2 1.258900+3 6.833600-2 1.584900+3 5.567500-2 1.995300+3 4.533200-2 2.511900+3 3.688700-2 3.162300+3 2.999800-2 3.981100+3 2.438200-2 5.011900+3 1.980700-2 6.309600+3 1.608300-2 7.943300+3 1.305300-2 1.000000+4 1.058800-2 1.258900+4 8.585600-3 1.584900+4 6.958700-3 1.995300+4 5.637900-3 2.511900+4 4.566000-3 3.162300+4 3.696500-3 3.981100+4 2.991500-3 5.011900+4 2.420100-3 6.309600+4 1.957200-3 7.943300+4 1.582400-3 1.000000+5 1.278900-3 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510163-4 3.162278-4 3.159551-4 3.981072-4 3.976760-4 5.011872-4 5.005050-4 6.309573-4 6.298855-4 7.943282-4 7.926415-4 1.000000-3 9.973649-4 1.258925-3 1.254813-3 1.584893-3 1.578490-3 1.995262-3 1.985270-3 2.511886-3 2.496282-3 3.162278-3 3.137813-3 3.981072-3 3.942675-3 5.011872-3 4.951630-3 6.309573-3 6.215230-3 7.943282-3 7.796152-3 1.000000-2 9.771598-3 1.258925-2 1.223552-2 1.584893-2 1.530169-2 1.995262-2 1.910722-2 2.511886-2 2.381807-2 3.162278-2 2.963453-2 3.981072-2 3.679526-2 5.011872-2 4.557784-2 6.309573-2 5.630712-2 7.943282-2 6.935448-2 1.000000-1 8.514066-2 1.258925-1 1.042030-1 1.584893-1 1.271382-1 1.995262-1 1.545814-1 2.511886-1 1.873435-1 3.162278-1 2.263043-1 3.981072-1 2.725154-1 5.011872-1 3.271232-1 6.309573-1 3.915797-1 7.943282-1 4.675612-1 1.000000+0 5.570594-1 1.258925+0 6.622835-1 1.584893+0 7.865560-1 1.995262+0 9.336402-1 2.511886+0 1.108230+0 3.162278+0 1.315941+0 3.981072+0 1.563904+0 5.011872+0 1.860771+0 6.309573+0 2.217070+0 7.943282+0 2.645487+0 1.000000+1 3.162136+0 1.258925+1 3.786198+0 1.584893+1 4.541380+0 1.995262+1 5.456622+0 2.511886+1 6.567467+0 3.162278+1 7.917218+0 3.981072+1 9.559959+0 5.011872+1 1.156068+1 6.309573+1 1.400039+1 7.943282+1 1.697803+1 1.000000+2 2.061541+1 1.258925+2 2.506249+1 1.584893+2 3.050411+1 1.995262+2 3.716768+1 2.511886+2 4.533286+1 3.162278+2 5.534542+1 3.981072+2 6.762995+1 5.011872+2 8.271333+1 6.309573+2 1.012428+2 7.943282+2 1.240186+2 1.000000+3 1.520265+2 1.258925+3 1.864901+2 1.584893+3 2.289153+2 1.995262+3 2.811737+2 2.511886+3 3.455493+2 3.162278+3 4.249345+2 3.981072+3 5.228218+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739819-9 3.981072-5 4.341804-9 5.011872-5 6.880889-9 6.309573-5 1.090514-8 7.943282-5 1.728258-8 1.000000-4 2.738230-8 1.258925-4 4.338779-8 1.584893-4 6.872426-8 1.995262-4 1.088530-7 2.511886-4 1.723370-7 3.162278-4 2.726965-7 3.981072-4 4.311639-7 5.011872-4 6.822403-7 6.309573-4 1.071797-6 7.943282-4 1.686763-6 1.000000-3 2.635127-6 1.258925-3 4.111942-6 1.584893-3 6.403477-6 1.995262-3 9.992130-6 2.511886-3 1.560486-5 3.162278-3 2.446461-5 3.981072-3 3.839682-5 5.011872-3 6.024263-5 6.309573-3 9.434367-5 7.943282-3 1.471303-4 1.000000-2 2.284020-4 1.258925-2 3.537305-4 1.584893-2 5.472464-4 1.995262-2 8.454033-4 2.511886-2 1.300793-3 3.162278-2 1.988246-3 3.981072-2 3.015461-3 5.011872-2 4.540887-3 6.309573-2 6.788615-3 7.943282-2 1.007834-2 1.000000-1 1.485934-2 1.258925-1 2.168953-2 1.584893-1 3.135113-2 1.995262-1 4.494485-2 2.511886-1 6.384518-2 3.162278-1 8.992342-2 3.981072-1 1.255918-1 5.011872-1 1.740640-1 6.309573-1 2.393776-1 7.943282-1 3.267670-1 1.000000+0 4.429406-1 1.258925+0 5.966419-1 1.584893+0 7.983372-1 1.995262+0 1.061622+0 2.511886+0 1.403656+0 3.162278+0 1.846337+0 3.981072+0 2.417168+0 5.011872+0 3.151102+0 6.309573+0 4.092503+0 7.943282+0 5.297796+0 1.000000+1 6.837864+0 1.258925+1 8.803056+0 1.584893+1 1.130755+1 1.995262+1 1.449600+1 2.511886+1 1.855140+1 3.162278+1 2.370556+1 3.981072+1 3.025076+1 5.011872+1 3.855804+1 6.309573+1 4.909534+1 7.943282+1 6.245479+1 1.000000+2 7.938459+1 1.258925+2 1.008301+2 1.584893+2 1.279852+2 1.995262+2 1.623586+2 2.511886+2 2.058558+2 3.162278+2 2.608823+2 3.981072+2 3.304772+2 5.011872+2 4.184739+2 6.309573+2 5.297146+2 7.943282+2 6.703096+2 1.000000+3 8.479735+2 1.258925+3 1.072435+3 1.584893+3 1.355978+3 1.995262+3 1.714089+3 2.511886+3 2.166337+3 3.162278+3 2.737343+3 3.981072+3 3.458250+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 8.060000-6 6.316560+6 8.500000-6 5.059457+6 8.500000-6 1.050563+7 8.709636-6 1.025034+7 9.520000-6 9.752172+6 9.520000-6 1.267943+7 9.772372-6 1.280347+7 9.900000-6 1.288360+7 1.011579-5 1.305606+7 1.083927-5 1.380778+7 1.100000-5 1.401104+7 1.188502-5 1.525576+7 1.200000-5 1.542895+7 1.288250-5 1.684023+7 1.303167-5 1.708538+7 1.333521-5 1.758393+7 1.380384-5 1.838343+7 1.396368-5 1.865093+7 1.479108-5 2.005098+7 1.500000-5 2.038848+7 1.570000-5 2.154560+7 1.659587-5 2.294225+7 1.757924-5 2.434245+7 1.778279-5 2.459417+7 1.850000-5 2.548620+7 1.905461-5 2.606357+7 1.927525-5 2.629358+7 2.000000-5 2.690100+7 2.070000-5 2.734063+7 2.089296-5 2.741872+7 2.150000-5 2.766337+7 2.162719-5 2.768374+7 2.230000-5 2.779179+7 2.238721-5 2.778559+7 2.300000-5 2.774412+7 2.317395-5 2.769486+7 2.371374-5 2.754582+7 2.426610-5 2.727299+7 2.454709-5 2.713805+7 2.500000-5 2.682137+7 2.540973-5 2.654346+7 2.570396-5 2.628343+7 2.630268-5 2.577168+7 2.638800-5 2.568290+7 2.710000-5 2.496516+7 2.722701-5 2.484131+7 2.730000-5 2.476456+7 2.786121-5 2.413116+7 2.818383-5 2.378024+7 2.830000-5 2.364769+7 2.851018-5 2.339351+7 2.917427-5 2.262024+7 2.920000-5 2.258761+7 3.000000-5 2.160995+7 3.019952-5 2.137681+7 3.090295-5 2.050168+7 3.126079-5 2.007779+7 3.150000-5 1.979041+7 3.190000-5 1.929929+7 3.260000-5 1.848308+7 3.300000-5 1.802360+7 3.402400-5 1.687526+7 3.427678-5 1.659992+7 3.467369-5 1.618063+7 3.570000-5 1.512862+7 3.650000-5 1.435497+7 3.758374-5 1.336550+7 3.850000-5 1.258525+7 3.981072-5 1.155059+7 4.027170-5 1.120859+7 4.120975-5 1.055477+7 4.220000-5 9.905101+6 4.400000-5 8.840616+6 4.500000-5 8.304889+6 4.677351-5 7.444872+6 4.800000-5 6.909003+6 4.940000-5 6.350387+6 4.940000-5 1.027037+7 4.985000-5 1.011258+7 5.000000-5 1.005388+7 5.040000-5 9.897304+6 5.069907-5 9.770210+6 5.110000-5 9.604051+6 5.128614-5 9.521399+6 5.190000-5 9.253000+6 5.289000-5 8.815053+6 5.299000-5 8.769973+6 5.299000-5 9.141689+6 5.308844-5 9.101344+6 5.330000-5 9.014388+6 5.370318-5 8.850222+6 5.400000-5 8.731126+6 5.410000-5 8.689901+6 5.432503-5 8.597090+6 5.470000-5 8.444324+6 5.500000-5 8.323744+6 5.530000-5 8.201572+6 5.564000-5 8.065036+6 5.564000-5 8.311435+6 5.590000-5 8.217055+6 5.600000-5 8.180966+6 5.623413-5 8.096811+6 5.650000-5 8.002139+6 5.665000-5 7.946935+6 5.688529-5 7.860683+6 5.725000-5 7.728926+6 5.754399-5 7.624363+6 5.770000-5 7.569270+6 5.800000-5 7.464422+6 5.821032-5 7.391797+6 5.830000-5 7.360277+6 5.900000-5 7.119591+6 5.956621-5 6.931479+6 5.970000-5 6.887596+6 6.025596-5 6.708610+6 6.070000-5 6.566842+6 6.095369-5 6.487379+6 6.097000-5 6.482269+6 6.097000-5 8.203481+6 6.135000-5 8.116133+6 6.170000-5 8.032102+6 6.180000-5 8.006574+6 6.220000-5 7.905881+6 6.237348-5 7.859836+6 6.280000-5 7.746475+6 6.309573-5 7.664267+6 6.350000-5 7.552723+6 6.420000-5 7.356967+6 6.456542-5 7.253472+6 6.500000-5 7.132072+6 6.531306-5 7.043113+6 6.610000-5 6.824780+6 6.683439-5 6.623090+6 6.730000-5 6.498657+6 6.760830-5 6.415611+6 6.839116-5 6.212829+6 6.850000-5 6.185233+6 6.950000-5 5.933169+6 7.000000-5 5.813647+6 7.079458-5 5.626341+6 7.161434-5 5.443098+6 7.244360-5 5.262993+6 7.300000-5 5.147732+6 7.350000-5 5.048209+6 7.413102-5 4.924335+6 7.483300-5 4.793847+6 7.500000-5 4.763891+6 7.580000-5 4.623816+6 7.585776-5 4.614107+6 7.650000-5 4.506434+6 7.673615-5 4.468313+6 7.730000-5 4.379165+6 7.762471-5 4.330040+6 7.800000-5 4.275191+6 7.852356-5 4.201696+6 7.900000-5 4.135873+6 7.943282-5 4.078904+6 7.950000-5 4.070148+6 8.080000-5 3.910427+6 8.128305-5 3.856385+6 8.222426-5 3.755984+6 8.230000-5 3.748198+6 8.300000-5 3.680598+6 8.413951-5 3.578426+6 8.609938-5 3.429282+6 8.650000-5 3.402311+6 8.810489-5 3.308764+6 9.015711-5 3.213107+6 9.157000-5 3.163791+6 9.157000-5 3.233071+6 9.225714-5 3.211264+6 9.310000-5 3.187477+6 9.400000-5 3.166218+6 9.440609-5 3.158216+6 9.549926-5 3.141329+6 9.550000-5 3.141319+6 9.700000-5 3.126567+6 9.800000-5 3.122150+6 9.850000-5 3.121297+6 9.885531-5 3.121355+6 9.900000-5 3.121516+6 1.000000-4 3.124746+6 1.020000-4 3.142088+6 1.023293-4 3.146293+6 1.035142-4 3.163088+6 1.040000-4 3.171570+6 1.047129-4 3.185425+6 1.071519-4 3.239710+6 1.080000-4 3.262805+6 1.083927-4 3.274358+6 1.096478-4 3.312346+6 1.100000-4 3.323707+6 1.109175-4 3.353136+6 1.122018-4 3.397549+6 1.135011-4 3.446897+6 1.150000-4 3.506477+6 1.170000-4 3.589185+6 1.174898-4 3.610814+6 1.190000-4 3.680184+6 1.205000-4 3.750539+6 1.220000-4 3.820876+6 1.230269-4 3.871452+6 1.244515-4 3.944511+6 1.250400-4 3.974496+6 1.258925-4 4.016358+6 1.260000-4 4.021703+6 1.273503-4 4.090005+6 1.288400-4 4.168512+6 1.300000-4 4.229316+6 1.303167-4 4.245118+6 1.318257-4 4.322076+6 1.333521-4 4.402209+6 1.350000-4 4.487956+6 1.380384-4 4.640893+6 1.400000-4 4.738327+6 1.412538-4 4.797526+6 1.430000-4 4.881535+6 1.450000-4 4.974340+6 1.480000-4 5.106174+6 1.500000-4 5.191342+6 1.513561-4 5.244895+6 1.520000-4 5.270466+6 1.531087-4 5.314933+6 1.560000-4 5.425551+6 1.566751-4 5.449351+6 1.580000-4 5.496476+6 1.584893-4 5.513974+6 1.600000-4 5.564821+6 1.603245-4 5.575803+6 1.621810-4 5.638806+6 1.640590-4 5.697351+6 1.650000-4 5.726871+6 1.659587-4 5.754729+6 1.678804-4 5.810979+6 1.690000-4 5.844035+6 1.698244-4 5.865951+6 1.717908-4 5.918342+6 1.720000-4 5.923936+6 1.737801-4 5.967372+6 1.740000-4 5.972758+6 1.757924-4 6.016758+6 1.760000-4 6.021868+6 1.780000-4 6.065692+6 1.798871-4 6.107136+6 1.800000-4 6.109621+6 1.819701-4 6.148660+6 1.820000-4 6.149253+6 1.840772-4 6.190657+6 1.862087-4 6.226933+6 1.883649-4 6.263639+6 1.905461-4 6.295881+6 1.927525-4 6.328576+6 1.930000-4 6.331535+6 1.950000-4 6.355480+6 1.972423-4 6.382225+6 1.980000-4 6.389740+6 1.995262-4 6.404887+6 2.000000-4 6.409610+6 2.020000-4 6.424100+6 2.041738-4 6.439838+6 2.080000-4 6.460688+6 2.089296-4 6.465752+6 2.120000-4 6.473756+6 2.143800-4 6.475257+6 2.150000-4 6.475662+6 2.190000-4 6.478382+6 2.192000-4 6.478526+6 2.200000-4 6.477031+6 2.220000-4 6.473361+6 2.238721-4 6.466294+6 2.264644-4 6.456568+6 2.300000-4 6.443591+6 2.330000-4 6.426520+6 2.344229-4 6.416071+6 2.350000-4 6.411862+6 2.400000-4 6.376017+6 2.426610-4 6.352077+6 2.454709-4 6.327258+6 2.540973-4 6.240943+6 2.570396-4 6.207137+6 2.600160-4 6.173577+6 2.645400-4 6.117853+6 2.645400-4 6.368015+6 2.691535-4 6.301130+6 2.730000-4 6.240671+6 2.740000-4 6.224143+6 2.760000-4 6.190987+6 2.782600-4 6.154542+6 2.782600-4 6.311466+6 2.838200-4 6.223050+6 2.840000-4 6.219953+6 2.851018-4 6.200678+6 2.900000-4 6.111450+6 2.917427-4 6.080874+6 2.920000-4 6.076386+6 2.940000-4 6.040534+6 2.951209-4 6.020984+6 2.965000-4 5.997144+6 2.980000-4 5.971248+6 2.985383-4 5.962185+6 3.000000-4 5.935621+6 3.019952-4 5.897706+6 3.054921-4 5.833466+6 3.080000-4 5.788933+6 3.090295-4 5.771022+6 3.126079-4 5.710592+6 3.130000-4 5.704050+6 3.162278-4 5.652119+6 3.167000-4 5.643586+6 3.180000-4 5.620551+6 3.220000-4 5.551565+6 3.235937-4 5.525230+6 3.260000-4 5.485986+6 3.273407-4 5.464625+6 3.280000-4 5.454187+6 3.311311-4 5.405945+6 3.350000-4 5.348287+6 3.390000-4 5.284373+6 3.427678-4 5.226389+6 3.430000-4 5.222863+6 3.450000-4 5.193063+6 3.467369-4 5.167800+6 3.507519-4 5.110620+6 3.530000-4 5.079653+6 3.550000-4 5.052716+6 3.580000-4 5.008674+6 3.630781-4 4.937057+6 3.650000-4 4.910683+6 3.672823-4 4.880104+6 3.758374-4 4.770324+6 3.780000-4 4.743834+6 3.801894-4 4.714243+6 3.845918-4 4.656230+6 3.890451-4 4.599577+6 4.000000-4 4.466988+6 4.073803-4 4.373823+6 4.120975-4 4.316964+6 4.150000-4 4.282533+6 4.216965-4 4.205372+6 4.265795-4 4.146988+6 4.280000-4 4.130170+6 4.315191-4 4.088969+6 4.365158-4 4.032187+6 4.415704-4 3.976766+6 4.425900-4 3.965659+6 4.425900-4 4.202071+6 4.430000-4 4.197549+6 4.466836-4 4.157174+6 4.518559-4 4.100418+6 4.570882-4 4.042764+6 4.731513-4 3.873802+6 4.786301-4 3.817225+6 4.841724-4 3.759971+6 4.897788-4 3.704044+6 4.954502-4 3.648078+6 5.011872-4 3.593389+6 5.069907-4 3.539621+6 5.080000-4 3.530216+6 5.128614-4 3.484704+6 5.150000-4 3.465079+6 5.168300-4 3.447959+6 5.168300-4 3.498976+6 5.188000-4 3.480744+6 5.248075-4 3.426004+6 5.308844-4 3.371334+6 5.370318-4 3.317926+6 5.432503-4 3.264497+6 5.450000-4 3.249353+6 5.495409-4 3.209803+6 5.559043-4 3.156005+6 5.650000-4 3.082304+6 5.688529-4 3.051877+6 5.692300-4 3.048930+6 5.754399-4 3.000554+6 5.821032-4 2.949438+6 5.888437-4 2.898374+6 5.900000-4 2.889790+6 5.956621-4 2.848123+6 6.000000-4 2.816605+6 6.095369-4 2.749250+6 6.100000-4 2.746061+6 6.158300-4 2.705830+6 6.158300-4 2.768268+6 6.165950-4 2.763027+6 6.237348-4 2.714649+6 6.309573-4 2.665623+6 6.456542-4 2.570996+6 6.500000-4 2.544024+6 6.531306-4 2.524926+6 6.606934-4 2.479279+6 6.750000-4 2.395925+6 6.760830-4 2.389816+6 6.839116-4 2.345107+6 6.850000-4 2.339014+6 7.000000-4 2.256712+6 7.079458-4 2.214695+6 7.161434-4 2.172551+6 7.244360-4 2.130690+6 7.328245-4 2.089311+6 7.413102-4 2.048881+6 7.500000-4 2.008419+6 7.585776-4 1.969864+6 7.673615-4 1.931295+6 7.852356-4 1.856026+6 7.943282-4 1.818811+6 8.035261-4 1.782458+6 8.128305-4 1.746820+6 8.317638-4 1.676560+6 8.511380-4 1.609009+6 8.609938-4 1.576009+6 8.709636-4 1.543383+6 8.810489-4 1.511416+6 8.912509-4 1.479611+6 9.015711-4 1.448525+6 9.120108-4 1.418210+6 9.225714-4 1.388304+6 9.332543-4 1.358731+6 9.440609-4 1.329669+6 9.700000-4 1.264069+6 9.772372-4 1.246528+6 9.850000-4 1.228164+6 9.885531-4 1.219896+6 1.000000-3 1.193569+6 1.011579-3 1.167398+6 1.023293-3 1.141886+6 1.059254-3 1.069153+6 1.070000-3 1.048408+6 1.083927-3 1.022275+6 1.096478-3 9.996002+5 1.109175-3 9.772726+5 1.122018-3 9.555149+5 1.135011-3 9.342984+5 1.148154-3 9.133895+5 1.161449-3 8.927415+5 1.174898-3 8.725143+5 1.188502-3 8.527751+5 1.202264-3 8.335381+5 1.216186-3 8.147869+5 1.224700-3 8.035642+5 1.244515-3 7.781226+5 1.273503-3 7.426646+5 1.288250-3 7.256213+5 1.303167-3 7.090174+5 1.318257-3 6.927656+5 1.333521-3 6.767512+5 1.350000-3 6.598705+5 1.364583-3 6.454488+5 1.412538-3 6.012082+5 1.428894-3 5.872254+5 1.445440-3 5.733930+5 1.450000-3 5.696710+5 1.479108-3 5.466319+5 1.496236-3 5.336818+5 1.500000-3 5.308959+5 1.513561-3 5.210265+5 1.548817-3 4.965808+5 1.570000-3 4.826084+5 1.584893-3 4.730798+5 1.603245-3 4.617355+5 1.621810-3 4.506415+5 1.678804-3 4.188770+5 1.690000-3 4.130314+5 1.698244-3 4.087621+5 1.737801-3 3.890413+5 1.778279-3 3.703566+5 1.798871-3 3.613284+5 1.819701-3 3.525034+5 1.840772-3 3.439122+5 1.850000-3 3.402027+5 1.862087-3 3.354011+5 1.892700-3 3.236975+5 1.892700-3 9.698629+5 1.905461-3 9.541508+5 1.927525-3 9.278336+5 1.952000-3 8.998295+5 1.961800-3 8.901783+5 1.961800-3 1.107158+6 1.972423-3 1.101064+6 2.000000-3 1.086309+6 2.018366-3 1.077283+6 2.041738-3 1.065450+6 2.065000-3 1.054762+6 2.089296-3 1.042055+6 2.110000-3 1.031993+6 2.162719-3 9.931214+5 2.187762-3 9.759429+5 2.213095-3 9.585560+5 2.238721-3 9.416144+5 2.264644-3 9.199523+5 2.290868-3 8.988426+5 2.300000-3 8.916761+5 2.317395-3 8.757009+5 2.344229-3 8.518515+5 2.350000-3 8.472442+5 2.360500-3 8.378446+5 2.360500-3 9.680755+5 2.371374-3 9.577746+5 2.400000-3 9.311684+5 2.426610-3 9.073952+5 2.445000-3 8.914369+5 2.454709-3 8.830357+5 2.511886-3 8.358024+5 2.540973-3 8.131435+5 2.600160-3 7.697112+5 2.630268-3 7.486809+5 2.660725-3 7.280576+5 2.677400-3 7.170955+5 2.677400-3 7.610165+5 2.691535-3 7.516581+5 2.697000-3 7.480792+5 2.718000-3 7.345594+5 2.722701-3 7.315502+5 2.729000-3 7.275258+5 2.754229-3 7.118752+5 2.786121-3 6.927929+5 2.818383-3 6.742446+5 2.851018-3 6.562213+5 2.884032-3 6.386871+5 2.911600-3 6.243352+5 2.911600-3 6.514316+5 2.951209-3 6.311361+5 2.985383-3 6.141996+5 3.015000-3 6.000490+5 3.019952-3 5.977448+5 3.054921-3 5.818382+5 3.070000-3 5.751350+5 3.090295-3 5.662675+5 3.162278-3 5.363970+5 3.198895-3 5.219535+5 3.220000-3 5.138831+5 3.235937-3 5.078935+5 3.273407-3 4.941345+5 3.311311-3 4.806804+5 3.349654-3 4.676138+5 3.350000-3 4.674982+5 3.388442-3 4.549257+5 3.427678-3 4.426037+5 3.467369-3 4.306344+5 3.507519-3 4.189818+5 3.548134-3 4.076301+5 3.589219-3 3.964991+5 3.650000-3 3.807210+5 3.672823-3 3.749979+5 3.720000-3 3.635603+5 3.758374-3 3.546218+5 3.845918-3 3.353908+5 3.935501-3 3.172189+5 4.000000-3 3.050083+5 4.027170-3 3.000358+5 4.073803-3 2.916769+5 4.120975-3 2.834927+5 4.150000-3 2.786235+5 4.168694-3 2.755431+5 4.216965-3 2.678149+5 4.315191-3 2.530245+5 4.365158-3 2.459344+5 4.400000-3 2.411611+5 4.415704-3 2.390520+5 4.466836-3 2.323382+5 4.500000-3 2.281164+5 4.518559-3 2.257996+5 4.623810-3 2.132587+5 4.650000-3 2.102934+5 4.731513-3 2.014317+5 4.800000-3 1.943968+5 4.841724-3 1.902706+5 4.897788-3 1.849241+5 4.954502-3 1.797320+5 5.000000-3 1.757192+5 5.011872-3 1.746926+5 5.069907-3 1.697476+5 5.128614-3 1.648858+5 5.308844-3 1.511648+5 5.370318-3 1.468560+5 5.432503-3 1.426764+5 5.500000-3 1.383045+5 5.623413-3 1.307861+5 5.688529-3 1.270299+5 5.888437-3 1.163902+5 6.000000-3 1.110072+5 6.025596-3 1.098232+5 6.095369-3 1.066789+5 6.150000-3 1.043040+5 6.309573-3 9.776528+4 6.382635-3 9.495110+4 6.531306-3 8.952038+4 6.683439-3 8.440247+4 6.760830-3 8.195627+4 6.839116-3 7.958463+4 6.918310-3 7.728367+4 6.998420-3 7.503896+4 7.000000-3 7.499564+4 7.079458-3 7.286008+4 7.161434-3 7.074123+4 7.244360-3 6.868692+4 7.328245-3 6.668613+4 7.413102-3 6.474134+4 7.585776-3 6.101899+4 7.673615-3 5.924295+4 7.852356-3 5.583872+4 7.943282-3 5.421273+4 8.000000-3 5.323282+4 8.035261-3 5.263239+4 8.128305-3 5.109215+4 8.222426-3 4.958726+4 8.511380-3 4.534352+4 8.609938-3 4.401169+4 8.709636-3 4.272088+4 8.810489-3 4.146563+4 8.912509-3 4.024903+4 9.000000-3 3.924079+4 9.015711-3 3.906344+4 9.120108-3 3.791367+4 9.225714-3 3.679658+4 9.332543-3 3.571002+4 9.440609-3 3.465700+4 9.549926-3 3.363345+4 9.772372-3 3.167248+4 9.885531-3 3.073732+4 1.000000-2 2.983110+4 1.011579-2 2.894732+4 1.023293-2 2.809070+4 1.047129-2 2.644681+4 1.053800-2 2.600980+4 1.053800-2 6.812371+4 1.059254-2 6.716930+4 1.080000-2 6.370300+4 1.083927-2 6.309118+4 1.096478-2 6.118591+4 1.109175-2 5.933906+4 1.122018-2 5.754904+4 1.135011-2 5.581377+4 1.148154-2 5.412816+4 1.161449-2 5.249352+4 1.174898-2 5.087901+4 1.188502-2 4.931385+4 1.199300-2 4.811743+4 1.199300-2 6.665899+4 1.202264-2 6.623842+4 1.208000-2 6.543417+4 1.210000-2 6.515698+4 1.216186-2 6.427453+4 1.224000-2 6.318285+4 1.240000-2 6.107615+4 1.244515-2 6.048774+4 1.250800-2 5.968169+4 1.250800-2 6.899999+4 1.258925-2 6.787910+4 1.260000-2 6.773274+4 1.273503-2 6.593184+4 1.288250-2 6.403933+4 1.303167-2 6.220237+4 1.305000-2 6.198184+4 1.318257-2 6.041007+4 1.333521-2 5.866924+4 1.335000-2 5.850332+4 1.348963-2 5.698501+4 1.350000-2 5.687451+4 1.380384-2 5.376431+4 1.396368-2 5.218895+4 1.412538-2 5.066096+4 1.428894-2 4.917907+4 1.445440-2 4.774170+4 1.450000-2 4.735600+4 1.462177-2 4.634589+4 1.479108-2 4.498737+4 1.500000-2 4.338745+4 1.513561-2 4.239179+4 1.531087-2 4.115149+4 1.548817-2 3.995158+4 1.566751-2 3.877593+4 1.603245-2 3.653054+4 1.621810-2 3.544995+4 1.640590-2 3.440236+4 1.659587-2 3.338026+4 1.678804-2 3.238788+4 1.717908-2 3.049315+4 1.737801-2 2.958866+4 1.778279-2 2.785254+4 1.798871-2 2.702003+4 1.819701-2 2.621307+4 1.862087-2 2.467236+4 1.883649-2 2.393858+4 1.905461-2 2.322718+4 1.927525-2 2.253604+4 1.949845-2 2.186600+4 1.972423-2 2.121647+4 1.980000-2 2.100453+4 2.000000-2 2.045487+4 2.018366-2 1.996718+4 2.041738-2 1.936984+4 2.065380-2 1.878425+4 2.113489-2 1.766660+4 2.162719-2 1.661709+4 2.187762-2 1.611646+4 2.213095-2 1.563059+4 2.238721-2 1.515975+4 2.264644-2 1.470307+4 2.290868-2 1.425733+4 2.317395-2 1.382540+4 2.344229-2 1.340654+4 2.371374-2 1.300071+4 2.426610-2 1.222630+4 2.483133-2 1.149922+4 2.511886-2 1.115250+4 2.540973-2 1.081303+4 2.570396-2 1.048409+4 2.600160-2 1.016533+4 2.630268-2 9.854049+3 2.650000-2 9.657187+3 2.660725-2 9.552389+3 2.691535-2 9.260016+3 2.722701-2 8.976581+3 2.754229-2 8.702033+3 2.786121-2 8.436055+3 2.818383-2 8.178400+3 2.851018-2 7.928206+3 2.884032-2 7.685852+3 2.917427-2 7.451084+3 2.985383-2 7.000671+3 3.000000-2 6.908765+3 3.019952-2 6.785982+3 3.054921-2 6.578028+3 3.090295-2 6.376531+3 3.126079-2 6.181359+3 3.150000-2 6.055391+3 3.162278-2 5.992072+3 3.198895-2 5.808628+3 3.235937-2 5.629676+3 3.311311-2 5.286627+3 3.349654-2 5.123212+3 3.388442-2 4.964961+3 3.400000-2 4.919121+3 3.467369-2 4.663046+3 3.507519-2 4.519158+3 3.548134-2 4.379819+3 3.589219-2 4.244856+3 3.630781-2 4.114135+3 3.672823-2 3.987011+3 3.715352-2 3.863695+3 3.758374-2 3.744287+3 3.801894-2 3.628049+3 3.845918-2 3.515482+3 3.890451-2 3.406490+3 3.935501-2 3.300948+3 4.027170-2 3.098720+3 4.120975-2 2.909126+3 4.168694-2 2.818827+3 4.216965-2 2.731386+3 4.300000-2 2.588838+3 4.315191-2 2.563865+3 4.415704-2 2.406543+3 4.466836-2 2.331612+3 4.518559-2 2.259067+3 4.570882-2 2.188596+3 4.623810-2 2.120375+3 4.677351-2 2.054263+3 4.841724-2 1.868267+3 4.897788-2 1.809970+3 4.954502-2 1.753139+3 5.069907-2 1.644886+3 5.128614-2 1.593249+3 5.248075-2 1.494858+3 5.308844-2 1.448011+3 5.432503-2 1.358759+3 5.495409-2 1.316227+3 5.623413-2 1.235183+3 5.688529-2 1.196589+3 5.821032-2 1.122887+3 5.888437-2 1.087534+3 6.025596-2 1.020028+3 6.095369-2 9.878546+2 6.165950-2 9.566896+2 6.237348-2 9.265269+2 6.309573-2 8.973312+2 6.500000-2 8.261919+2 6.531306-2 8.152411+2 6.606934-2 7.895960+2 6.918310-2 6.949748+2 7.079458-2 6.517932+2 7.161434-2 6.312345+2 7.185600-2 6.253372+2 7.185600-2 3.147863+3 7.244360-2 3.079949+3 7.270000-2 3.050946+3 7.328245-2 2.989468+3 7.380000-2 2.936265+3 7.413102-2 2.905511+3 7.450000-2 2.871758+3 7.498942-2 2.822209+3 7.585776-2 2.737161+3 7.700000-2 2.630575+3 7.943282-2 2.432895+3 8.000000-2 2.389822+3 8.222426-2 2.222814+3 8.413951-2 2.091502+3 8.609938-2 1.967946+3 8.709636-2 1.908941+3 8.800000-2 1.857552+3 8.912509-2 1.796853+3 9.120108-2 1.691865+3 9.660509-2 1.455561+3 9.772372-2 1.412436+3 9.800000-2 1.402058+3 9.885531-2 1.370555+3 1.000000-1 1.329907+3 1.011580-1 1.289557+3 1.023293-1 1.250438+3 1.035142-1 1.212501+3 1.047129-1 1.175715+3 1.059254-1 1.140051+3 1.071519-1 1.105471+3 1.083927-1 1.071940+3 1.109175-1 1.007911+3 1.122019-1 9.773489+2 1.188502-1 8.379323+2 1.216186-1 7.878634+2 1.230269-1 7.639654+2 1.258925-1 7.183299+2 1.273503-1 6.965468+2 1.288250-1 6.754260+2 1.303167-1 6.549444+2 1.333521-1 6.154181+2 1.348963-1 5.965599+2 1.364583-1 5.782820+2 1.380384-1 5.605644+2 1.396368-1 5.433911+2 1.412538-1 5.267443+2 1.428894-1 5.106145+2 1.445440-1 4.949793+2 1.513561-1 4.371061+2 1.548817-1 4.107456+2 1.566751-1 3.981694+2 1.603245-1 3.741624+2 1.621810-1 3.627069+2 1.640590-1 3.516029+2 1.659587-1 3.408398+2 1.678804-1 3.304076+2 1.717908-1 3.104943+2 1.757924-1 2.917831+2 1.778279-1 2.828592+2 1.798871-1 2.742082+2 1.800000-1 2.737444+2 1.840772-1 2.576991+2 1.883649-1 2.421860+2 1.905461-1 2.347837+2 1.949845-1 2.206524+2 2.018366-1 2.010366+2 2.041738-1 1.948952+2 2.065380-1 1.889418+2 2.089296-1 1.831706+2 2.113489-1 1.775759+2 2.137962-1 1.721545+2 2.162719-1 1.669007+2 2.187762-1 1.618076+2 2.213095-1 1.568701+2 2.264644-1 1.474434+2 2.290868-1 1.429448+2 2.317395-1 1.385837+2 2.371374-1 1.303384+2 2.398833-1 1.264018+2 2.426610-1 1.225843+2 2.454709-1 1.188826+2 2.483133-1 1.152943+2 2.511886-1 1.118154+2 2.540973-1 1.084464+2 2.600160-1 1.020110+2 2.660725-1 9.595806+1 2.691535-1 9.306776+1 2.754229-1 8.754606+1 2.786121-1 8.490949+1 2.800000-1 8.379631+1 2.818383-1 8.237137+1 2.851018-1 7.992415+1 2.917427-1 7.524581+1 2.951209-1 7.301150+1 3.019952-1 6.874051+1 3.054921-1 6.669982+1 3.090295-1 6.471976+1 3.126079-1 6.280195+1 3.162278-1 6.094104+1 3.198895-1 5.913555+1 3.235937-1 5.738433+1 3.311311-1 5.408468+1 3.349654-1 5.250677+1 3.388442-1 5.097562+1 3.467369-1 4.804644+1 3.507519-1 4.664568+1 3.548134-1 4.528580+1 3.589219-1 4.396574+1 3.590900-1 4.391287+1 3.630781-1 4.268472+1 3.672823-1 4.144112+1 3.715352-1 4.023643+1 3.801894-1 3.797054+1 3.845918-1 3.688649+1 3.890451-1 3.583354+1 3.935501-1 3.481066+1 3.981072-1 3.381703+1 4.027170-1 3.285191+1 4.073803-1 3.191475+1 4.216965-1 2.926080+1 4.265795-1 2.844265+1 4.315191-1 2.764902+1 4.365158-1 2.687798+1 4.415705-1 2.612851+1 4.466836-1 2.540006+1 4.518559-1 2.469228+1 4.570882-1 2.400421+1 4.623810-1 2.333534+1 4.677351-1 2.268512+1 4.786301-1 2.143856+1 4.841724-1 2.085291+1 4.897788-1 2.028513+1 4.954502-1 1.973295+1 5.011872-1 1.919609+1 5.069907-1 1.867385+1 5.188000-1 1.767164+1 5.248075-1 1.719089+1 5.308844-1 1.672324+1 5.370318-1 1.626831+1 5.432503-1 1.583515+1 5.495409-1 1.541380+1 5.559043-1 1.500511+1 5.623413-1 1.460728+1 5.688529-1 1.422001+1 5.821032-1 1.347602+1 5.888437-1 1.311876+1 6.000000-1 1.255654+1 6.025596-1 1.243242+1 6.095369-1 1.211035+1 6.165950-1 1.179681+1 6.237348-1 1.149161+1 6.309573-1 1.119507+1 6.382635-1 1.090618+1 6.456542-1 1.062476+1 6.531306-1 1.035059+1 6.606935-1 1.008351+1 6.683439-1 9.823328+0 6.760830-1 9.570130+0 6.918310-1 9.094167+0 6.998420-1 8.865149+0 7.079458-1 8.642064+0 7.161434-1 8.425168+0 7.244360-1 8.213718+0 7.328245-1 8.007580+0 7.413102-1 7.806701+0 7.498942-1 7.610990+0 7.585776-1 7.420213+0 7.673615-1 7.238539+0 7.762471-1 7.061319+0 7.852356-1 6.888441+0 7.943282-1 6.719796+0 8.035261-1 6.555875+0 8.128305-1 6.396028+0 8.222427-1 6.240080+0 8.413951-1 5.939505+0 8.511380-1 5.798303+0 8.609938-1 5.660458+0 8.709636-1 5.526043+0 8.810489-1 5.394826+0 8.912509-1 5.266729+0 9.015711-1 5.142176+0 9.120108-1 5.020626+0 9.225714-1 4.901951+0 9.332543-1 4.786104+0 9.440609-1 4.676175+0 9.549926-1 4.568778+0 9.660509-1 4.463850+0 9.772372-1 4.361403+0 9.885531-1 4.261329+0 1.000000+0 4.163947+0 1.011579+0 4.068902+0 1.023293+0 3.976025+0 1.035142+0 3.885326+0 1.047129+0 3.798549+0 1.059254+0 3.713730+0 1.071519+0 3.630809+0 1.083927+0 3.549732+0 1.096478+0 3.470471+0 1.109175+0 3.393082+0 1.135011+0 3.243454+0 1.148154+0 3.171144+0 1.161449+0 3.100686+0 1.188502+0 2.964439+0 1.202264+0 2.898611+0 1.216186+0 2.835887+0 1.230269+0 2.774523+0 1.250000+0 2.691901+0 1.288250+0 2.542092+0 1.303167+0 2.487097+0 1.318257+0 2.433528+0 1.333521+0 2.381157+0 1.348963+0 2.329909+0 1.364583+0 2.279769+0 1.380384+0 2.232010+0 1.462177+0 2.007834+0 1.479108+0 1.965786+0 1.496236+0 1.924794+0 1.500000+0 1.915963+0 1.513561+0 1.884661+0 1.531087+0 1.845365+0 1.548817+0 1.806885+0 1.584893+0 1.734346+0 1.603245+0 1.699177+0 1.640590+0 1.630962+0 1.659587+0 1.597890+0 1.678804+0 1.565625+0 1.698244+0 1.534011+0 1.717908+0 1.503042+0 1.737801+0 1.472719+0 1.778279+0 1.415679+0 1.798871+0 1.387992+0 1.819701+0 1.360848+0 1.840772+0 1.334235+0 1.862087+0 1.308143+0 1.883649+0 1.282680+0 1.905461+0 1.257714+0 1.927525+0 1.233238+0 1.949845+0 1.209260+0 1.972423+0 1.186531+0 2.000000+0 1.159687+0 2.018366+0 1.142347+0 2.041738+0 1.120877+0 2.044000+0 1.118833+0 2.089296+0 1.079139+0 2.113489+0 1.058935+0 2.137962+0 1.039109+0 2.162719+0 1.019656+0 2.213095+0 9.818380-1 2.238721+0 9.634705-1 2.264644+0 9.454530-1 2.290868+0 9.282205-1 2.317395+0 9.113024-1 2.344229+0 8.946935-1 2.371374+0 8.783872-1 2.398833+0 8.623782-1 2.426610+0 8.466611-1 2.454709+0 8.312918-1 2.483133+0 8.162022-1 2.511886+0 8.013880-1 2.570396+0 7.725615-1 2.600160+0 7.585492-1 2.630268+0 7.447967-1 2.660725+0 7.316527-1 2.691535+0 7.187405-1 2.722701+0 7.060570-1 2.754229+0 6.935970-1 2.786121+0 6.813573-1 2.818383+0 6.693333-1 2.851018+0 6.575718-1 2.884032+0 6.460169-1 2.951209+0 6.235168-1 3.000000+0 6.079849-1 3.019952+0 6.018195-1 3.054921+0 5.915894-1 3.090295+0 5.815332-1 3.126079+0 5.716484-1 3.162278+0 5.619314-1 3.198895+0 5.523799-1 3.235937+0 5.430304-1 3.311311+0 5.248046-1 3.388442+0 5.071925-1 3.467369+0 4.901838-1 3.507519+0 4.818980-1 3.548134+0 4.739798-1 3.589219+0 4.661918-1 3.630781+0 4.585318-1 3.672823+0 4.509979-1 3.715352+0 4.435879-1 3.758374+0 4.363305-1 3.845918+0 4.221705-1 3.935501+0 4.084719-1 4.027170+0 3.952275-1 4.073803+0 3.887697-1 4.120975+0 3.825912-1 4.168694+0 3.765108-1 4.265795+0 3.646391-1 4.315191+0 3.588443-1 4.365158+0 3.531417-1 4.415704+0 3.475532-1 4.518559+0 3.366404-1 4.623810+0 3.260716-1 4.731513+0 3.158419-1 4.786301+0 3.108502-1 4.841724+0 3.060748-1 4.897788+0 3.013729-1 5.011872+0 2.921850-1 5.069907+0 2.876966-1 5.128614+0 2.832772-1 5.188000+0 2.789435-1 5.308844+0 2.704742-1 5.432503+0 2.622631-1 5.623413+0 2.504197-1 5.688529+0 2.465935-1 5.754399+0 2.429292-1 5.821032+0 2.393193-1 5.956621+0 2.322601-1 6.025596+0 2.288089-1 6.095369+0 2.254090-1 6.165950+0 2.220730-1 6.309573+0 2.155487-1 6.456542+0 2.092168-1 6.760830+0 1.971133-1 6.839116+0 1.941995-1 6.918310+0 1.913976-1 7.000000+0 1.885823-1 7.244360+0 1.805887-1 7.328245+0 1.779833-1 7.413102+0 1.754155-1 7.498942+0 1.728944-1 7.585776+0 1.704096-1 7.762471+0 1.655468-1 7.852356+0 1.631680-1 8.128305+0 1.562396-1 8.222427+0 1.539971-1 8.317638+0 1.518462-1 8.413951+0 1.497253-1 8.609938+0 1.455722-1 8.709636+0 1.435391-1 8.810489+0 1.415343-1 8.912509+0 1.395592-1 9.015711+0 1.376175-1 9.120108+0 1.357029-1 9.440609+0 1.301175-1 9.549926+0 1.283074-1 1.000000+1 1.213205-1 1.011579+1 1.196775-1 1.023293+1 1.180566-1 1.047129+1 1.148806-1 1.059254+1 1.133248-1 1.083927+1 1.102782-1 1.109175+1 1.073206-1 1.202264+1 9.758026-2 1.230269+1 9.496353-2 1.288250+1 8.994203-2 1.303167+1 8.875932-2 1.318257+1 8.759219-2 1.333521+1 8.644134-2 1.348963+1 8.530552-2 1.364583+1 8.418777-2 1.513561+1 7.476460-2 1.531087+1 7.378506-2 1.566751+1 7.186432-2 1.640590+1 6.817366-2 1.659587+1 6.730047-2 1.678804+1 6.643849-2 1.698244+1 6.558812-2 1.717908+1 6.474868-2 1.737801+1 6.392199-2 1.972423+1 5.549663-2 2.018366+1 5.408875-2 2.041738+1 5.339826-2 2.065380+1 5.271689-2 2.137962+1 5.072470-2 2.162719+1 5.007750-2 2.187762+1 4.945205-2 2.213095+1 4.883444-2 2.238721+1 4.822495-2 2.264644+1 4.762307-2 2.290868+1 4.703009-2 2.630268+1 4.046511-2 2.722701+1 3.897248-2 2.754229+1 3.848727-2 2.818383+1 3.753528-2 2.951209+1 3.570153-2 2.985383+1 3.525725-2 3.000000+1 3.507392-2 3.019952+1 3.482671-2 3.054921+1 3.440148-2 3.090295+1 3.398170-2 3.126079+1 3.356704-2 3.198895+1 3.275459-2 3.589219+1 2.897806-2 3.758374+1 2.759240-2 3.801894+1 2.725647-2 3.935501+1 2.627335-2 4.168694+1 2.471311-2 4.216965+1 2.441236-2 4.265795+1 2.411963-2 4.315191+1 2.383046-2 4.365158+1 2.354478-2 4.415704+1 2.326264-2 4.518559+1 2.270848-2 4.677351+1 2.190319-2 5.559043+1 1.828542-2 5.821032+1 1.742604-2 6.000000+1 1.688309-2 6.237348+1 1.621234-2 6.531306+1 1.545070-2 6.606934+1 1.526595-2 6.683439+1 1.508611-2 6.760830+1 1.490839-2 6.918310+1 1.455937-2 7.079458+1 1.421908-2 8.709636+1 1.149301-2 9.332543+1 1.070589-2 9.885531+1 1.009130-2 1.059254+2 9.400324-3 1.122018+2 8.860831-3 1.148154+2 8.653796-3 1.161449+2 8.553113-3 1.174898+2 8.453602-3 1.188502+2 8.355254-3 1.230269+2 8.067093-3 1.273503+2 7.789178-3 1.659587+2 5.953380-3 1.778279+2 5.550267-3 1.905461+2 5.174448-3 2.089296+2 4.712707-3 2.238721+2 4.393657-3 2.290868+2 4.292181-3 2.317395+2 4.242627-3 2.344229+2 4.193647-3 2.371374+2 4.145231-3 2.454709+2 4.003339-3 2.540973+2 3.866392-3 3.311311+2 2.960833-3 3.548134+2 2.761733-3 3.801894+2 2.576023-3 4.168694+2 2.347710-3 4.466836+2 2.189859-3 4.570882+2 2.139637-3 4.623810+2 2.115061-3 4.677351+2 2.090767-3 4.731513+2 2.066752-3 4.897788+2 1.996360-3 5.069907+2 1.928401-3 1.318257+3 7.396849-4 1.412538+3 6.901824-4 1.513561+3 6.439932-4 1.659587+3 5.871825-4 1.778279+3 5.478889-4 1.819701+3 5.353841-4 1.840772+3 5.292524-4 1.862087+3 5.231910-4 1.883649+3 5.171990-4 3.672823+3 2.651592-4 3.715352+3 2.621224-4 3.758374+3 2.591203-4 3.890451+3 2.503194-4 4.027170+3 2.418187-4 1.000000+5 9.729013-6 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 8.060000-6 8.060000-6 8.500000-6 8.060000-6 8.500000-6 8.288098-6 9.520000-6 8.358844-6 9.520000-6 8.626916-6 1.100000-5 8.730901-6 1.303167-5 8.804011-6 1.778279-5 8.866745-6 3.019952-5 8.925004-6 4.940000-5 8.939518-6 4.940000-5 2.438242-5 5.000000-5 2.473246-5 5.069907-5 2.505184-5 5.190000-5 2.544888-5 5.299000-5 2.568177-5 5.299000-5 2.679217-5 5.470000-5 2.727377-5 5.564000-5 2.746741-5 5.564000-5 2.830261-5 5.800000-5 2.895393-5 6.097000-5 2.956565-5 6.097000-5 3.615475-5 6.220000-5 3.686804-5 6.420000-5 3.768149-5 6.730000-5 3.854843-5 7.350000-5 3.979825-5 7.950000-5 4.101703-5 8.413951-5 4.220769-5 9.157000-5 4.453520-5 9.157000-5 4.554307-5 1.023293-4 4.871560-5 1.083927-4 5.018393-5 1.150000-4 5.140849-5 1.220000-4 5.232308-5 1.303167-4 5.303207-5 1.430000-4 5.362020-5 1.621810-4 5.397444-5 2.080000-4 5.412492-5 2.645400-4 5.408012-5 2.645400-4 5.612800-5 2.782600-4 5.590598-5 2.782600-4 5.720792-5 3.090295-4 5.686355-5 3.311311-4 5.702019-5 3.580000-4 5.768861-5 4.073803-4 5.959749-5 4.425900-4 6.109195-5 4.425900-4 6.624478-5 5.168300-4 6.981702-5 5.168300-4 7.116694-5 6.158300-4 7.555724-5 6.158300-4 7.825710-5 7.079458-4 8.211458-5 8.128305-4 8.598726-5 9.332543-4 8.979882-5 1.083927-3 9.383773-5 1.244515-3 9.744605-5 1.450000-3 1.012978-4 1.698244-3 1.050840-4 1.892700-3 1.075680-4 1.892700-3 1.583038-4 1.961800-3 1.583730-4 1.961800-3 1.664977-4 2.110000-3 1.697848-4 2.264644-3 1.715605-4 2.360500-3 1.718533-4 2.360500-3 1.839749-4 2.677400-3 1.855171-4 2.677400-3 1.918755-4 2.911600-3 1.934651-4 2.911600-3 1.994791-4 3.845918-3 2.066215-4 5.011872-3 2.137122-4 6.382635-3 2.202379-4 8.128305-3 2.267077-4 1.023293-2 2.327402-4 1.053800-2 2.334885-4 1.053800-2 3.027585-4 1.199300-2 3.036607-4 1.199300-2 3.203026-4 1.250800-2 3.206505-4 1.250800-2 3.434289-4 1.778279-2 3.524509-4 2.540973-2 3.616450-4 3.548134-2 3.702830-4 4.841724-2 3.782356-4 6.606934-2 3.857554-4 7.185600-2 3.876870-4 7.185600-2 3.558439-4 1.800000-1 3.580316-4 5.069907-1 3.594471-4 1.000000+5 3.597224-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.060000-6 0.0 2.782600-4 0.0 2.782600-4 8.81726-10 2.840000-4 8.87856-10 2.920000-4 8.82583-10 2.980000-4 8.56564-10 3.080000-4 8.12288-10 3.130000-4 7.95864-10 3.180000-4 7.85253-10 3.220000-4 7.81650-10 3.260000-4 7.81695-10 3.311311-4 7.87275-10 3.350000-4 7.95408-10 3.390000-4 8.08148-10 3.450000-4 8.33180-10 3.507519-4 8.63178-10 3.580000-4 9.09317-10 3.650000-4 9.62070-10 3.780000-4 1.074581-9 3.890451-4 1.182723-9 4.073803-4 1.375450-9 4.216965-4 1.532285-9 4.425900-4 1.769064-9 4.425900-4 3.107338-9 5.011872-4 3.879098-9 5.168300-4 4.073791-9 5.168300-4 4.855779-9 5.692300-4 5.572515-9 6.100000-4 6.107311-9 6.158300-4 6.182364-9 6.158300-4 7.155954-9 6.760830-4 7.971818-9 7.500000-4 8.890981-9 8.317638-4 9.830024-9 9.015711-4 1.055697-8 9.772372-4 1.128119-8 1.070000-3 1.210351-8 1.174898-3 1.293996-8 1.303167-3 1.385057-8 1.450000-3 1.478057-8 1.621810-3 1.573733-8 1.798871-3 1.660062-8 1.892700-3 1.702201-8 1.892700-3 1.671420-8 1.961800-3 1.681469-8 1.961800-3 6.045363-6 2.018366-3 6.869475-6 2.065000-3 7.606139-6 2.110000-3 8.237216-6 2.187762-3 8.969808-6 2.238721-3 9.419372-6 2.300000-3 9.678130-6 2.350000-3 9.718861-6 2.360500-3 9.715294-6 2.360500-3 9.497216-6 2.677400-3 9.413439-6 2.677400-3 1.040239-5 2.911600-3 1.044531-5 2.911600-3 1.060481-5 3.507519-3 1.073486-5 4.800000-3 1.094409-5 6.683439-3 1.114945-5 8.810489-3 1.131956-5 1.053800-2 1.142334-5 1.053800-2 1.551092-3 1.199300-2 1.543172-3 1.199300-2 2.114233-3 1.250800-2 2.117438-3 1.250800-2 2.206605-3 1.640590-2 2.227898-3 2.511886-2 2.243303-3 4.677351-2 2.247117-3 7.185600-2 2.243639-3 7.185600-2 5.066202-2 8.609938-2 5.107093-2 1.083927-1 5.147629-2 1.513561-1 5.184991-2 2.511886-1 5.217147-2 7.413102-1 5.258713-2 1.202264+0 5.271618-2 1.000000+5 5.270651-2 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.060000-6 0.0 8.500000-6 4.400000-7 8.500000-6 2.119018-7 8.709636-6 4.058102-7 9.520000-6 1.161156-6 9.520000-6 8.930839-7 9.900000-6 1.240878-6 1.011579-5 1.439919-6 1.100000-5 2.269099-6 1.200000-5 3.225943-6 1.396368-5 5.140601-6 1.927525-5 1.039748-5 4.027170-5 3.133550-5 4.940000-5 4.046048-5 4.940000-5 2.501758-5 5.000000-5 2.526754-5 5.069907-5 2.564723-5 5.190000-5 2.645112-5 5.299000-5 2.730823-5 5.299000-5 2.619783-5 5.470000-5 2.742623-5 5.564000-5 2.817259-5 5.564000-5 2.733739-5 5.800000-5 2.904607-5 6.097000-5 3.140435-5 6.097000-5 2.481525-5 6.180000-5 2.514244-5 6.309573-5 2.583336-5 6.500000-5 2.706034-5 6.760830-5 2.899093-5 7.244360-5 3.285239-5 7.900000-5 3.809435-5 8.413951-5 4.193182-5 9.157000-5 4.703480-5 9.157000-5 4.602693-5 1.023293-4 5.361370-5 1.096478-4 5.920113-5 1.170000-4 6.529506-5 1.260000-4 7.329228-5 1.380384-4 8.459640-5 1.621810-4 1.082066-4 2.645400-4 2.104599-4 2.645400-4 2.084120-4 2.782600-4 2.223540-4 2.782600-4 2.210512-4 3.311311-4 2.741101-4 4.280000-4 3.675269-4 4.425900-4 3.814963-4 4.425900-4 3.763421-4 5.168300-4 4.470089-4 5.168300-4 4.456582-4 6.158300-4 5.402666-4 6.158300-4 5.375657-4 9.440609-4 8.539401-4 1.584893-3 1.481422-3 1.892700-3 1.785115-3 1.892700-3 1.734379-3 1.961800-3 1.803410-3 1.961800-3 1.789257-3 2.317395-3 2.135907-3 2.360500-3 2.178931-3 2.360500-3 2.167028-3 2.677400-3 2.482469-3 2.677400-3 2.475122-3 2.911600-3 2.707690-3 2.911600-3 2.701516-3 1.011579-2 9.871943-3 1.053800-2 1.029309-2 1.053800-2 8.684150-3 1.199300-2 1.014617-2 1.199300-2 9.558464-3 1.250800-2 1.006991-2 1.250800-2 9.957966-3 2.851018-2 2.590012-2 7.185600-2 6.922468-2 7.185600-2 2.083813-2 7.585776-2 2.470519-2 8.222426-2 3.087941-2 1.083927-1 5.655949-2 1.757924-1 1.234608-1 4.841724+0 4.788662+0 1.000000+5 9.999995+4 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 7.185600-2 2.522526+3 7.270000-2 2.445620+3 7.380000-2 2.355740+3 7.450000-2 2.306320+3 7.700000-2 2.114880+3 8.000000-2 1.926212+3 8.800000-2 1.502312+3 1.000000-1 1.081252+3 1.303167-1 5.362761+2 2.317395-1 1.144090+2 2.800000-1 6.928900+1 3.235937-1 4.750295+1 3.715352-1 3.334397+1 4.216965-1 2.427233+1 4.786301-1 1.780146+1 5.370318-1 1.351995+1 6.025596-1 1.034163+1 6.760830-1 7.967886+0 7.585776-1 6.183516+0 8.413951-1 4.953787+0 9.332543-1 3.995372+0 1.035142+0 3.245198+0 1.202264+0 2.421544+0 1.364583+0 1.904220+0 1.548817+0 1.508964+0 1.737801+0 1.229884+0 1.949845+0 1.009894+0 2.264644+0 7.895941-1 2.630268+0 6.220118-1 3.019952+0 5.026059-1 3.507519+0 4.024529-1 4.073803+0 3.246746-1 4.786301+0 2.596046-1 5.688529+0 2.059412-1 6.839116+0 1.621853-1 8.222427+0 1.286090-1 1.000000+1 1.013200-1 1.288250+1 7.511731-2 1.640590+1 5.693780-2 2.162719+1 4.182403-2 2.985383+1 2.944648-2 4.216965+1 2.038882-2 6.606934+1 1.275023-2 1.148154+2 7.227676-3 2.290868+2 3.584916-3 4.570882+2 1.787093-3 1.819701+3 4.471229-4 1.000000+5 8.126200-6 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 7.185600-2 3.479500-4 1.000000+5 3.479500-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 7.185600-2 6.266500-2 1.000000+5 6.266500-2 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 7.185600-2 8.843050-3 1.000000+5 9.999994+4 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.250800-2 9.318300+3 1.305000-2 8.677320+3 1.335000-2 8.331320+3 1.380384-2 7.896354+3 1.531087-2 6.561820+3 1.640590-2 5.816897+3 1.737801-2 5.231715+3 1.862087-2 4.586561+3 1.980000-2 4.088360+3 2.511886-2 2.551395+3 2.818383-2 2.010348+3 3.198895-2 1.541356+3 3.758374-2 1.086626+3 4.216965-2 8.416744+2 4.897788-2 5.996039+2 5.821032-2 4.014484+2 6.918310-2 2.662068+2 8.222426-2 1.749943+2 9.800000-2 1.133376+2 1.188502-1 6.977115+1 1.513561-1 3.765100+1 2.511886-1 1.022383+1 3.090295-1 6.036047+0 3.672823-1 3.917864+0 4.265795-1 2.713178+0 4.841724-1 2.001646+0 5.495409-1 1.486830+0 6.237348-1 1.112348+0 7.079458-1 8.384741-1 7.943282-1 6.529803-1 8.912509-1 5.124074-1 9.885531-1 4.148833-1 1.148154+0 3.088168-1 1.303167+0 2.421860-1 1.479108+0 1.913955-1 1.659587+0 1.555784-1 1.862087+0 1.273581-1 2.089296+0 1.050409-1 2.426610+0 8.240448-2 2.818383+0 6.515198-2 3.198895+0 5.376841-2 3.715352+0 4.318166-2 4.365158+0 3.437443-2 5.128614+0 2.757304-2 6.095369+0 2.194041-2 7.413102+0 1.707502-2 8.912509+0 1.358499-2 1.083927+1 1.073561-2 1.348963+1 8.306078-3 1.717908+1 6.304589-3 2.264644+1 4.637193-3 3.126079+1 3.268693-3 4.518559+1 2.211188-3 6.918310+1 1.417821-3 1.230269+2 7.856254-4 2.454709+2 3.899303-4 4.897788+2 1.944449-4 3.890451+3 2.438013-5 1.000000+5 9.477800-7 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.250800-2 4.893200-4 1.000000+5 4.893200-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.250800-2 2.777700-3 1.000000+5 2.777700-3 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.250800-2 9.240980-3 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.199300-2 1.854156+4 1.210000-2 1.818703+4 1.224000-2 1.765900+4 1.240000-2 1.713100+4 1.333521-2 1.425500+4 1.462177-2 1.122900+4 1.603245-2 8.819600+3 1.778279-2 6.668800+3 2.264644-2 3.432600+3 2.511886-2 2.561100+3 2.917427-2 1.673100+3 3.630781-2 8.863400+2 4.518559-2 4.643600+2 5.688529-2 2.328100+2 7.328245-2 1.080000+2 1.412538-1 1.455589+1 1.757924-1 7.509544+0 2.137962-1 4.184024+0 2.511886-1 2.602757+0 2.917427-1 1.687315+0 3.349654-1 1.139352+0 3.801894-1 8.006210-1 4.315191-1 5.668922-1 4.841724-1 4.172236-1 5.432503-1 3.093743-1 6.025596-1 2.379877-1 6.683439-1 1.843887-1 7.413102-1 1.438571-1 8.609938-1 1.015011-1 9.332543-1 8.472708-2 1.000000+0 7.309098-2 1.096478+0 6.059719-2 1.202264+0 5.059114-2 1.318257+0 4.252420-2 1.479108+0 3.449240-2 1.717908+0 2.641187-2 1.927525+0 2.166210-2 2.213095+0 1.724390-2 2.570396+0 1.357018-2 2.951209+0 1.095397-2 3.388442+0 8.909154-3 3.935501+0 7.175286-3 4.623810+0 5.727723-3 5.432503+0 4.606299-3 6.456542+0 3.674444-3 7.852356+0 2.865940-3 9.549926+0 2.253748-3 1.230269+1 1.668048-3 1.566751+1 1.262424-3 2.041738+1 9.379833-4 2.754229+1 6.760165-4 3.801894+1 4.787245-4 6.000000+1 2.965300-4 9.885531+1 1.772462-4 1.905461+2 9.089692-5 3.801894+2 4.526723-5 1.513561+3 1.131552-5 1.000000+5 1.710100-7 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.199300-2 3.634900-4 1.000000+5 3.634900-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.199300-2 3.596200-3 1.000000+5 3.596200-3 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.199300-2 8.033310-3 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.053800-2 4.211391+4 1.080000-2 3.931352+4 1.161449-2 3.233790+4 1.380384-2 2.005538+4 1.548817-2 1.445369+4 2.041738-2 6.469129+3 2.600160-2 3.131565+3 3.235937-2 1.600197+3 3.935501-2 8.682171+2 4.841724-2 4.499945+2 5.888437-2 2.399774+2 7.413102-2 1.136725+2 1.445440-1 1.277234+1 1.800000-1 6.265539+0 2.113489-1 3.745153+0 2.454709-1 2.334871+0 2.818383-1 1.520737+0 3.198895-1 1.034287+0 3.590900-1 7.327971-1 4.027170-1 5.247587-1 4.466836-1 3.908219-1 4.954502-1 2.931718-1 5.495409-1 2.216800-1 6.095369-1 1.689414-1 6.683439-1 1.335874-1 7.328245-1 1.063184-1 8.035261-1 8.516801-2 9.015711-1 6.509255-2 9.660509-1 5.567033-2 1.023293+0 4.918753-2 1.096478+0 4.267842-2 1.188502+0 3.642234-2 1.303167+0 3.062104-2 1.462177+0 2.486330-2 1.737801+0 1.828773-2 1.949845+0 1.500631-2 2.238721+0 1.195201-2 2.600160+0 9.409422-3 3.000000+0 7.542000-3 3.467369+0 6.080341-3 4.027170+0 4.902570-3 4.731513+0 3.917824-3 5.623413+0 3.106230-3 6.760830+0 2.445048-3 8.128305+0 1.938024-3 1.000000+1 1.505200-3 1.288250+1 1.115906-3 1.640590+1 8.458841-4 2.162719+1 6.213470-4 3.000000+1 4.351700-4 4.265795+1 2.992439-4 6.606934+1 1.894125-4 1.148154+2 1.073724-4 2.290868+2 5.325834-5 4.570882+2 2.654950-5 1.819701+3 6.642512-6 1.000000+5 1.207200-7 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.053800-2 3.455400-4 1.000000+5 3.455400-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.053800-2 2.502000-3 1.000000+5 2.502000-3 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.053800-2 7.690460-3 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 2.911600-3 2.709640+4 3.015000-3 2.583920+4 3.054921-3 2.549390+4 3.350000-3 2.253140+4 3.507519-3 2.123006+4 3.720000-3 1.950822+4 4.650000-3 1.398188+4 5.011872-3 1.246330+4 5.500000-3 1.070548+4 6.531306-3 8.039956+3 7.413102-3 6.443377+3 8.511380-3 5.037204+3 1.023293-2 3.584045+3 1.174898-2 2.755626+3 1.350000-2 2.103960+3 1.603245-2 1.494187+3 1.905461-2 1.050260+3 2.238721-2 7.499590+2 2.650000-2 5.231380+2 3.126079-2 3.647931+2 3.672823-2 2.547237+2 4.315191-2 1.766028+2 5.069907-2 1.215771+2 6.025596-2 8.084154+1 7.161434-2 5.335977+1 8.413951-2 3.597245+1 1.023293-1 2.210292+1 1.288250-1 1.236236+1 1.603245-1 7.073782+0 2.483133-1 2.301307+0 3.090295-1 1.321304+0 3.672823-1 8.584282-1 4.216965-1 6.118598-1 4.841724-1 4.391965-1 5.495409-1 3.262992-1 6.165950-1 2.506468-1 6.998420-1 1.889684-1 7.943282-1 1.435849-1 8.912509-1 1.125461-1 9.885531-1 9.104720-2 1.148154+0 6.775511-2 1.303167+0 5.313767-2 1.479108+0 4.199843-2 1.659587+0 3.413842-2 1.862087+0 2.794586-2 2.089296+0 2.305150-2 2.426610+0 1.808479-2 2.818383+0 1.429730-2 3.198895+0 1.179881-2 3.715352+0 9.475892-3 4.365158+0 7.543203-3 5.128614+0 6.050644-3 6.095369+0 4.814731-3 7.413102+0 3.747010-3 8.810489+0 3.023375-3 1.059254+1 2.421156-3 1.318257+1 1.871907-3 1.678804+1 1.419854-3 2.213095+1 1.043666-3 3.054921+1 7.352378-4 4.365158+1 5.031834-4 6.760830+1 3.186376-4 1.188502+2 1.785811-4 2.371374+2 8.860391-5 4.731513+2 4.417748-5 3.758374+3 5.538054-6 1.000000+5 2.079800-7 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 2.911600-3 3.380500-4 1.000000+5 3.380500-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.911600-3 1.428000-5 1.000000+5 1.428000-5 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 2.911600-3 2.559270-3 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 2.677400-3 4.392098+4 2.718000-3 4.320073+4 2.729000-3 4.293355+4 3.070000-3 3.745260+4 3.220000-3 3.525860+4 3.467369-3 3.185958+4 3.845918-3 2.741931+4 4.150000-3 2.443240+4 4.466836-3 2.172057+4 4.800000-3 1.923586+4 5.688529-3 1.420780+4 6.150000-3 1.227674+4 7.079458-3 9.316234+3 7.673615-3 7.915504+3 8.709636-3 6.066774+3 9.549926-3 4.976059+3 1.083927-2 3.753605+3 1.202264-2 2.963432+3 1.380384-2 2.142718+3 1.548817-2 1.623152+3 1.737801-2 1.222494+3 2.000000-2 8.578280+2 2.317395-2 5.864621+2 2.691535-2 3.950072+2 3.150000-2 2.584320+2 3.672823-2 1.693849+2 4.300000-2 1.089342+2 5.069907-2 6.818176+1 6.095369-2 4.005157+1 7.585776-2 2.111014+1 9.885531-2 9.635514+0 1.678804-1 1.992018+0 2.018366-1 1.157683+0 2.540973-1 5.940373-1 2.951209-1 3.874334-1 3.388442-1 2.629101-1 3.845918-1 1.855034-1 4.365158-1 1.318438-1 4.897788-1 9.733269-2 5.495409-1 7.236782-2 6.095369-1 5.579838-2 6.760830-1 4.333159-2 7.498942-1 3.388403-2 8.609938-1 2.461179-2 9.332543-1 2.056191-2 1.000000+0 1.774544-2 1.096478+0 1.471501-2 1.202264+0 1.228589-2 1.318257+0 1.032556-2 1.479108+0 8.372721-3 1.717908+0 6.409987-3 1.927525+0 5.257033-3 2.213095+0 4.184709-3 2.570396+0 3.292584-3 2.951209+0 2.657164-3 3.388442+0 2.161138-3 3.935501+0 1.740603-3 4.623810+0 1.389438-3 5.432503+0 1.117409-3 6.456542+0 8.913711-4 7.852356+0 6.952232-4 9.549926+0 5.467247-4 1.230269+1 4.046362-4 1.566751+1 3.062371-4 2.065380+1 2.246540-4 2.818383+1 1.599546-4 3.935501+1 1.119583-4 6.237348+1 6.909121-5 1.059254+2 4.006453-5 2.089296+2 2.008806-5 4.168694+2 1.000907-5 1.659587+3 2.503135-6 1.000000+5 4.148400-8 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 2.677400-3 2.956900-4 1.000000+5 2.956900-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.677400-3 2.654900-5 1.000000+5 2.654900-5 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.677400-3 2.355161-3 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.360500-3 1.302309+5 2.445000-3 1.248095+5 2.722701-3 1.062078+5 2.884032-3 9.698834+4 3.235937-3 7.989853+4 3.650000-3 6.486440+4 4.000000-3 5.487520+4 4.315191-3 4.742666+4 5.011872-3 3.534822+4 5.432503-3 2.996387+4 6.309573-3 2.181857+4 6.918310-3 1.783185+4 8.000000-3 1.284584+4 8.912509-3 9.987461+3 1.000000-2 7.590600+3 1.135011-2 5.566179+3 1.273503-2 4.170299+3 1.450000-2 2.988664+3 1.659587-2 2.095643+3 1.905461-2 1.445060+3 2.187762-2 9.883077+2 2.511886-2 6.707013+2 2.917427-2 4.369830+2 3.400000-2 2.794900+2 3.935501-2 1.809622+2 4.623810-2 1.111919+2 5.432503-2 6.780476+1 6.500000-2 3.879036+1 8.000000-2 2.015588+1 1.047129-1 8.542313+0 1.659587-1 1.954272+0 2.018366-1 1.050621+0 2.426610-1 5.911013-1 2.786121-1 3.865906-1 3.162278-1 2.637732-1 3.548134-1 1.875935-1 3.981072-1 1.343773-1 4.415705-1 1.002111-1 4.897788-1 7.524882-2 5.432503-1 5.692620-2 6.025596-1 4.339250-2 6.683439-1 3.333422-2 7.413102-1 2.581003-2 8.609938-1 1.803370-2 9.225714-1 1.538236-2 9.772372-1 1.354940-2 1.047129+0 1.172482-2 1.135011+0 9.971699-3 1.250000+0 8.278602-3 1.380384+0 6.890943-3 1.698244+0 4.755733-3 1.905461+0 3.896917-3 2.137962+0 3.218389-3 2.483133+0 2.527894-3 2.884032+0 2.000861-3 3.311311+0 1.625223-3 3.845918+0 1.307480-3 4.518559+0 1.042571-3 5.308844+0 8.375980-4 6.309573+0 6.675042-4 7.762471+0 5.127048-4 9.440609+0 4.030015-4 1.202264+1 3.021900-4 1.513561+1 2.315392-4 1.972423+1 1.718701-4 2.630268+1 1.253140-4 3.589219+1 8.973521-5 5.559043+1 5.662152-5 8.709636+1 3.558911-5 1.659587+2 1.843678-5 3.311311+2 9.172980-6 1.318257+3 2.291646-6 1.000000+5 3.015600-8 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.360500-3 2.619600-4 1.000000+5 2.619600-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.360500-3 8.094200-6 1.000000+5 8.094200-6 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.360500-3 2.090446-3 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 1.961800-3 2.169798+5 2.065000-3 2.602246+5 2.110000-3 2.757777+5 2.187762-3 2.840398+5 2.238721-3 2.878089+5 2.300000-3 2.800442+5 2.344229-3 2.682915+5 2.350000-3 2.672104+5 2.630268-3 1.996894+5 2.951209-3 1.468372+5 3.273407-3 1.104264+5 3.589219-3 8.513616+4 4.073803-3 5.909833+4 4.518559-3 4.340207+4 5.069907-3 3.067887+4 5.623413-3 2.226928+4 6.382635-3 1.497189+4 7.328245-3 9.607669+3 8.128305-3 6.853242+3 9.440609-3 4.167763+3 1.083927-2 2.609122+3 1.216186-2 1.755161+3 1.380384-2 1.127888+3 1.603245-2 6.632871+2 1.862087-2 3.868439+2 2.187762-2 2.145759+2 2.540973-2 1.232057+2 2.985383-2 6.729266+1 3.589219-2 3.343377+1 4.415704-2 1.508493+1 5.623413-2 5.909650+0 1.035142-1 5.488041-1 1.273503-1 2.464486-1 1.513561-1 1.273490-1 1.757924-1 7.235016-2 2.041738-1 4.141420-2 2.317395-1 2.598492-2 2.600160-1 1.713163-2 2.951209-1 1.091567-2 3.311311-1 7.298821-3 3.672823-1 5.115134-3 4.073803-1 3.609307-3 4.518559-1 2.565337-3 5.011872-1 1.837370-3 5.495409-1 1.374524-3 6.000000-1 1.049466-3 6.531306-1 8.162944-4 7.161434-1 6.263437-4 8.035261-1 4.539872-4 8.609938-1 3.731122-4 9.120108-1 3.188607-4 9.549926-1 2.828121-4 1.000000+0 2.524231-4 1.047129+0 2.269558-4 1.096478+0 2.055111-4 1.148154+0 1.872168-4 1.216186+0 1.677640-4 1.318257+0 1.449934-4 1.531087+0 1.119885-4 1.819701+0 8.256324-5 2.000000+0 7.029383-5 2.317395+0 5.524447-5 2.691535+0 4.356852-5 3.090295+0 3.524974-5 3.589219+0 2.825988-5 4.168694+0 2.282316-5 4.897788+0 1.826829-5 5.821032+0 1.450691-5 7.000000+0 1.143200-5 8.413951+0 9.076387-6 1.023293+1 7.157046-6 1.303167+1 5.381890-6 1.659587+1 4.080895-6 2.187762+1 2.998657-6 3.019952+1 2.111785-6 4.315191+1 1.444903-6 6.683439+1 9.147887-7 1.174898+2 5.126165-7 2.344229+2 2.543146-7 4.677351+2 1.267948-7 3.715352+3 1.589367-8 1.000000+5 5.90050-10 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 1.961800-3 1.998300-4 1.000000+5 1.998300-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.961800-3 3.077800-5 1.000000+5 3.077800-5 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 1.961800-3 1.731192-3 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.892700-3 6.461654+5 1.952000-3 5.970984+5 2.018366-3 5.557422+5 2.110000-3 5.009946+5 2.371374-3 3.703281+5 2.600160-3 2.902097+5 2.884032-3 2.190014+5 3.162278-3 1.694288+5 3.548134-3 1.218713+5 4.027170-3 8.410797+4 4.415704-3 6.368355+4 5.069907-3 4.170535+4 5.623413-3 3.010967+4 6.382635-3 2.010038+4 7.244360-3 1.329905+4 8.128305-3 9.078003+3 9.225714-3 5.919673+3 1.047129-2 3.830871+3 1.188502-2 2.461270+3 1.350000-2 1.566030+3 1.548817-2 9.545044+2 1.778279-2 5.758073+2 2.065380-2 3.303306+2 2.371374-2 1.963693+2 2.754229-2 1.109869+2 3.198895-2 6.230158+1 3.801894-2 3.175462+1 4.623810-2 1.467368+1 5.821032-2 5.867136+0 1.000000-1 6.738648-1 1.216186-1 3.096492-1 1.428894-1 1.643150-1 1.659587-1 9.190315-2 1.883649-1 5.660174-2 2.137962-1 3.512511-2 2.398833-1 2.293695-2 2.660725-1 1.574024-2 2.951209-1 1.088153-2 3.235937-1 7.890173-3 3.548134-1 5.759707-3 3.890451-1 4.234491-3 4.265795-1 3.136858-3 4.677351-1 2.342039-3 5.069907-1 1.825835-3 5.495409-1 1.432772-3 6.025596-1 1.094194-3 6.606935-1 8.415507-4 7.161434-1 6.732588-4 7.762471-1 5.421412-4 8.609938-1 4.126507-4 9.120108-1 3.568911-4 9.660509-1 3.109358-4 1.011579+0 2.802291-4 1.071519+0 2.477961-4 1.148154+0 2.154563-4 1.230269+0 1.886649-4 1.333521+0 1.627064-4 1.798871+0 9.588519-5 2.000000+0 8.005868-5 2.317395+0 6.292276-5 2.691535+0 4.962769-5 3.090295+0 4.015435-5 3.589219+0 3.219172-5 4.168694+0 2.599870-5 4.897788+0 2.081044-5 5.821032+0 1.652539-5 7.000000+0 1.302300-5 8.413951+0 1.033948-5 1.023293+1 8.152873-6 1.303167+1 6.130770-6 1.659587+1 4.648699-6 2.187762+1 3.415812-6 3.019952+1 2.405686-6 4.315191+1 1.645980-6 6.683439+1 1.042100-6 1.174898+2 5.839432-7 2.344229+2 2.896954-7 4.677351+2 1.444307-7 1.862087+3 3.613991-8 1.000000+5 6.72150-10 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.892700-3 1.837200-4 1.000000+5 1.837200-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.892700-3 1.656000-8 1.000000+5 1.656000-8 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.892700-3 1.708963-3 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 6.158300-4 6.243758+4 6.750000-4 5.889920+4 7.079458-4 5.656007+4 7.413102-4 5.458037+4 8.317638-4 4.944563+4 8.912509-4 4.630672+4 1.083927-3 3.736524+4 1.174898-3 3.397673+4 1.350000-3 2.848440+4 1.500000-3 2.478980+4 1.698244-3 2.084463+4 1.927525-3 1.736052+4 2.238721-3 1.384816+4 2.540973-3 1.136328+4 2.985383-3 8.759766+3 3.548134-3 6.564666+3 4.216965-3 4.874625+3 5.011872-3 3.589715+3 6.025596-3 2.567868+3 7.244360-3 1.821965+3 8.709636-3 1.282962+3 1.047129-2 8.968084+2 1.260000-2 6.211568+2 1.513561-2 4.283743+2 1.819701-2 2.925658+2 2.162719-2 2.031251+2 2.570396-2 1.400081+2 3.054921-2 9.579560+1 3.630781-2 6.505980+1 4.315191-2 4.385351+1 5.128614-2 2.933999+1 6.095369-2 1.947829+1 7.328245-2 1.248760+1 8.609938-2 8.407674+0 1.059254-1 5.014053+0 1.364583-1 2.642648+0 1.678804-1 1.555502+0 2.483133-1 5.699480-1 3.090295-1 3.273481-1 3.672823-1 2.127211-1 4.216965-1 1.516434-1 4.841724-1 1.088624-1 5.495409-1 8.088314-2 6.165950-1 6.212906-2 6.998420-1 4.683486-2 7.943282-1 3.558459-2 8.912509-1 2.789698-2 9.885531-1 2.257061-2 1.148154+0 1.679711-2 1.303167+0 1.317357-2 1.479108+0 1.041192-2 1.659587+0 8.462886-3 1.862087+0 6.927571-3 2.089296+0 5.714646-3 2.426610+0 4.483579-3 2.818383+0 3.544512-3 3.198895+0 2.925027-3 3.715352+0 2.349107-3 4.365158+0 1.869940-3 5.128614+0 1.499942-3 6.095369+0 1.193615-3 7.413102+0 9.288826-4 8.810489+0 7.495082-4 1.059254+1 6.002090-4 1.318257+1 4.640470-4 1.678804+1 3.519908-4 2.213095+1 2.587256-4 3.054921+1 1.822698-4 4.365158+1 1.247360-4 6.760830+1 7.899223-5 1.188502+2 4.427046-5 2.371374+2 2.196536-5 4.731513+2 1.095209-5 3.758374+3 1.372882-6 1.000000+5 5.155900-8 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 6.158300-4 1.952600-4 1.000000+5 1.952600-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 6.158300-4 4.934800-8 1.000000+5 4.934800-8 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 6.158300-4 4.205207-4 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 5.168300-4 5.101701+4 6.000000-4 5.061622+4 6.850000-4 4.966060+4 7.328245-4 4.876665+4 7.943282-4 4.739414+4 8.511380-4 4.597938+4 9.225714-4 4.404821+4 9.850000-4 4.223340+4 1.059254-3 3.999623+4 1.161449-3 3.705243+4 1.244515-3 3.478781+4 1.350000-3 3.205180+4 1.496236-3 2.866307+4 1.621810-3 2.609215+4 1.778279-3 2.326410+4 1.972423-3 2.030673+4 2.162719-3 1.786398+4 2.400000-3 1.535262+4 2.660725-3 1.311632+4 2.985383-3 1.091943+4 3.349654-3 9.015290+3 3.758374-3 7.387976+3 4.216965-3 6.010041+3 4.731513-3 4.854394+3 5.308844-3 3.894659+3 6.025596-3 3.033394+3 6.839116-3 2.344384+3 7.852356-3 1.754842+3 9.000000-3 1.307184+3 1.023293-2 9.830831+2 1.161449-2 7.368579+2 1.318257-2 5.484112+2 1.513561-2 3.941888+2 1.737801-2 2.808995+2 2.000000-2 1.975374+2 2.290868-2 1.394849+2 2.630268-2 9.719513+1 3.054921-2 6.521019+1 3.548134-2 4.341774+1 4.168694-2 2.779774+1 4.897788-2 1.766413+1 5.821032-2 1.078568+1 7.079458-2 6.117341+0 8.912509-2 3.113714+0 1.380384-1 8.522954-1 1.840772-1 3.640805-1 2.213095-1 2.126975-1 2.600160-1 1.338897-1 3.019952-1 8.755048-2 3.467369-1 5.954275-2 3.935501-1 4.209799-2 4.466836-1 2.998412-2 5.011872-1 2.218007-2 5.623413-1 1.652722-2 6.237348-1 1.276824-2 6.918310-1 9.931259-3 7.673615-1 7.777192-3 8.709636-1 5.806237-3 9.440609-1 4.856091-3 1.011579+0 4.196219-3 1.109175+0 3.482924-3 1.216186+0 2.910301-3 1.348963+0 2.396511-3 1.584893+0 1.790986-3 1.798871+0 1.432979-3 2.000000+0 1.196974-3 2.317395+0 9.406325-4 2.691535+0 7.419061-4 3.090295+0 6.003020-4 3.589219+0 4.812599-4 4.168694+0 3.886727-4 4.897788+0 3.111076-4 5.821032+0 2.470531-4 7.000000+0 1.946900-4 8.413951+0 1.545664-4 1.023293+1 1.218822-4 1.303167+1 9.165292-5 1.659587+1 6.949686-5 2.187762+1 5.106566-5 3.019952+1 3.596364-5 4.315191+1 2.460673-5 6.683439+1 1.557906-5 1.161449+2 8.832893-6 2.317395+2 4.381672-6 4.623810+2 2.184386-6 1.840772+3 5.465523-7 1.000000+5 1.004800-8 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 5.168300-4 1.624000-4 1.000000+5 1.624000-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 5.168300-4 5.770600-8 1.000000+5 5.770600-8 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 5.168300-4 3.543723-4 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 4.425900-4 2.364122+5 5.011872-4 2.261027+5 5.188000-4 2.222478+5 6.000000-4 2.015220+5 6.760830-4 1.832100+5 7.413102-4 1.689225+5 8.035261-4 1.564276+5 8.709636-4 1.437822+5 9.700000-4 1.273040+5 1.059254-3 1.146022+5 1.161449-3 1.018969+5 1.303167-3 8.729631+4 1.428894-3 7.664616+4 1.603245-3 6.465164+4 1.778279-3 5.510058+4 2.000000-3 4.561960+4 2.238721-3 3.778309+4 2.511886-3 3.095455+4 2.851018-3 2.465664+4 3.198895-3 1.990679+4 3.589219-3 1.596735+4 4.073803-3 1.243353+4 4.623810-3 9.606779+3 5.308844-3 7.188528+3 6.095369-3 5.331545+3 7.000000-3 3.918348+3 8.035261-3 2.858003+3 9.120108-3 2.123369+3 1.023293-2 1.610815+3 1.161449-2 1.180679+3 1.333521-2 8.345407+2 1.513561-2 6.025168+2 1.717908-2 4.320438+2 1.972423-2 2.982770+2 2.264644-2 2.042722+2 2.600160-2 1.388267+2 3.000000-2 9.235520+1 3.467369-2 6.067034+1 4.027170-2 3.899621+1 4.677351-2 2.488162+1 5.495409-2 1.522203+1 6.531306-2 8.923313+0 7.943282-2 4.833105+0 1.011580-1 2.246169+0 1.717908-1 4.151439-1 2.089296-1 2.238933-1 2.454709-1 1.355808-1 2.818383-1 8.881847-2 3.198895-1 6.069058-2 3.589219-1 4.321893-2 4.027170-1 3.099947-2 4.466836-1 2.314558-2 4.954502-1 1.740071-2 5.495409-1 1.317859-2 6.095369-1 1.005709-2 6.760830-1 7.736266-3 7.498942-1 5.998495-3 8.609938-1 4.312741-3 9.225714-1 3.679724-3 9.772372-1 3.241953-3 1.047129+0 2.805990-3 1.135011+0 2.386590-3 1.250000+0 1.981204-3 1.380384+0 1.649035-3 1.698244+0 1.138018-3 1.905461+0 9.325135-4 2.162719+0 7.557569-4 2.511886+0 5.939500-4 2.884032+0 4.787949-4 3.311311+0 3.889122-4 3.845918+0 3.128793-4 4.518559+0 2.494851-4 5.308844+0 2.004343-4 6.309573+0 1.597300-4 7.762471+0 1.226830-4 9.440609+0 9.643779-5 1.202264+1 7.231268-5 1.531087+1 5.468282-5 2.018366+1 4.008921-5 2.722701+1 2.888411-5 3.758374+1 2.044920-5 5.821032+1 1.291387-5 9.332543+1 7.933740-6 1.778279+2 4.113548-6 3.548134+2 2.047694-6 1.412538+3 5.117093-7 1.000000+5 7.216100-9 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 4.425900-4 1.526800-4 1.000000+5 1.526800-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 4.425900-4 2.555600-8 1.000000+5 2.555600-8 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 4.425900-4 2.898844-4 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 2.782600-4 1.569236+5 2.840000-4 1.557235+5 2.920000-4 1.512257+5 2.965000-4 1.460940+5 3.080000-4 1.325968+5 3.130000-4 1.280108+5 3.180000-4 1.244552+5 3.220000-4 1.223636+5 3.260000-4 1.209252+5 3.311311-4 1.200114+5 3.350000-4 1.199580+5 3.390000-4 1.204228+5 3.450000-4 1.220076+5 3.507519-4 1.243937+5 3.580000-4 1.284288+5 3.650000-4 1.332212+5 3.758374-4 1.418955+5 4.000000-4 1.633228+5 4.150000-4 1.762944+5 4.280000-4 1.868696+5 4.430000-4 1.981376+5 4.570882-4 2.077156+5 4.731513-4 2.172775+5 4.897788-4 2.255559+5 5.080000-4 2.328428+5 5.248075-4 2.381131+5 5.450000-4 2.427872+5 5.650000-4 2.457480+5 5.900000-4 2.474472+5 6.165950-4 2.474208+5 6.456542-4 2.457301+5 6.760830-4 2.423749+5 7.079458-4 2.374195+5 7.413102-4 2.311367+5 7.852356-4 2.219506+5 8.317638-4 2.116159+5 8.810489-4 2.002720+5 9.332543-4 1.882496+5 1.000000-3 1.734996+5 1.070000-3 1.590144+5 1.148154-3 1.440264+5 1.244515-3 1.275817+5 1.333521-3 1.142209+5 1.450000-3 9.905040+4 1.570000-3 8.591640+4 1.698244-3 7.410465+4 1.850000-3 6.263680+4 2.018366-3 5.237098+4 2.213095-3 4.301458+4 2.426610-3 3.504425+4 2.660725-3 2.834886+4 2.951209-3 2.214098+4 3.235937-3 1.764524+4 3.548134-3 1.397460+4 3.935501-3 1.066838+4 4.400000-3 7.909720+3 4.897788-3 5.886880+3 5.432503-3 4.393419+3 6.025596-3 3.256625+3 6.683439-3 2.398458+3 7.413102-3 1.755078+3 8.222426-3 1.276373+3 9.120108-3 9.226029+2 1.023293-2 6.388939+2 1.148154-2 4.392257+2 1.288250-2 2.998657+2 1.462177-2 1.955469+2 1.659587-2 1.265356+2 1.883649-2 8.128914+1 2.162719-2 4.977804+1 2.483133-2 3.025580+1 2.884032-2 1.750739+1 3.388442-2 9.634580+0 4.027170-2 5.039512+0 4.897788-2 2.397303+0 6.309573-2 9.076330-1 1.109175-1 1.031681-1 1.348963-1 4.882487-2 1.621810-1 2.431942-2 1.883649-1 1.390026-2 2.162719-1 8.350622-3 2.454709-1 5.269326-3 2.786121-1 3.349576-3 3.126079-1 2.234682-3 3.507519-1 1.502120-3 3.890451-1 1.058018-3 4.315191-1 7.507185-4 4.786301-1 5.366793-4 5.308844-1 3.864977-4 5.821032-1 2.906695-4 6.309573-1 2.280562-4 6.918310-1 1.741906-4 7.585776-1 1.340618-4 8.035261-1 1.141874-4 8.609938-1 9.395400-5 9.120108-1 8.038576-5 9.549926-1 7.136448-5 1.000000+0 6.375041-5 1.047129+0 5.735634-5 1.096478+0 5.195668-5 1.161449+0 4.628639-5 1.230269+0 4.152685-5 1.333521+0 3.591206-5 1.479108+0 3.004190-5 1.840772+0 2.044122-5 2.018366+0 1.748796-5 2.344229+0 1.369836-5 2.722701+0 1.080974-5 3.090295+0 8.904027-6 3.589219+0 7.138317-6 4.168694+0 5.764985-6 4.897788+0 4.614474-6 5.821032+0 3.664429-6 7.000000+0 2.887800-6 8.413951+0 2.292623-6 1.023293+1 1.807863-6 1.303167+1 1.359459-6 1.659587+1 1.030844-6 2.187762+1 7.574471-7 3.019952+1 5.334425-7 4.315191+1 3.649859-7 6.683439+1 2.310807-7 1.174898+2 1.294878-7 2.344229+2 6.423996-8 4.677351+2 3.202743-8 3.715352+3 4.014668-9 1.000000+5 1.49050-10 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 2.782600-4 1.082700-4 1.000000+5 1.082700-4 1 75000 7 7 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.782600-4 3.546300-8 1.000000+5 3.546300-8 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.782600-4 1.699545-4 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 2.645400-4 2.501622+5 2.740000-4 2.272242+5 2.760000-4 2.222970+5 2.900000-4 1.938858+5 2.940000-4 1.876794+5 2.980000-4 1.828956+5 3.019952-4 1.795060+5 3.054921-4 1.776158+5 3.090295-4 1.766616+5 3.130000-4 1.766442+5 3.167000-4 1.775266+5 3.220000-4 1.800966+5 3.280000-4 1.845504+5 3.350000-4 1.914084+5 3.430000-4 2.010096+5 3.530000-4 2.150676+5 3.780000-4 2.551134+5 3.890451-4 2.724157+5 4.000000-4 2.886582+5 4.120975-4 3.052971+5 4.265795-4 3.233799+5 4.415704-4 3.399579+5 4.570882-4 3.547104+5 4.731513-4 3.672449+5 4.897788-4 3.774418+5 5.080000-4 3.858474+5 5.248075-4 3.913963+5 5.450000-4 3.954246+5 5.692300-4 3.970040+5 5.956621-4 3.957187+5 6.237348-4 3.917961+5 6.531306-4 3.853839+5 6.850000-4 3.762396+5 7.244360-4 3.627718+5 7.673615-4 3.467877+5 8.128305-4 3.292841+5 8.609938-4 3.104685+5 9.225714-4 2.868774+5 9.885531-4 2.630286+5 1.059254-3 2.393537+5 1.135011-3 2.162824+5 1.224700-3 1.920265+5 1.318257-3 1.699370+5 1.428894-3 1.475702+5 1.548817-3 1.271944+5 1.690000-3 1.074612+5 1.840772-3 9.039909+4 2.018366-3 7.444709+4 2.213095-3 6.080901+4 2.426610-3 4.930266+4 2.691535-3 3.859705+4 2.951209-3 3.081238+4 3.235937-3 2.444201+4 3.589219-3 1.868749+4 4.027170-3 1.373965+4 4.500000-3 1.012368+4 5.000000-3 7.517820+3 5.500000-3 5.707626+3 6.025596-3 4.361084+3 6.683439-3 3.193053+3 7.413102-3 2.322630+3 8.128305-3 1.740999+3 9.120108-3 1.205984+3 1.023293-2 8.292341+2 1.148154-2 5.659336+2 1.288250-2 3.834704+2 1.445440-2 2.580438+2 1.640590-2 1.656138+2 1.862087-2 1.054835+2 2.113489-2 6.670417+1 2.426610-2 4.015091+1 2.786121-2 2.398953+1 3.235937-2 1.362605+1 3.801894-2 7.350846+0 4.518559-2 3.763969+0 5.495409-2 1.748419+0 7.244360-2 5.868457-1 1.083927-1 1.189277-1 1.333521-1 5.260958-2 1.548817-1 2.939567-2 1.778279-1 1.731070-2 2.018366-1 1.073259-2 2.264644-1 6.996714-3 2.511886-1 4.791341-3 2.786121-1 3.303457-3 3.054921-1 2.388721-3 3.349654-1 1.738663-3 3.672823-1 1.273873-3 4.027170-1 9.397885-4 4.415705-1 6.982748-4 4.841724-1 5.228317-4 5.248075-1 4.085768-4 5.688529-1 3.213843-4 6.095369-1 2.631444-4 6.606935-1 2.100585-4 7.161434-1 1.688214-4 8.222427-1 1.173126-4 8.810489-1 9.795877-5 9.332543-1 8.485295-5 9.772372-1 7.606411-5 1.023293+0 6.858716-5 1.083927+0 6.068168-5 1.148154+0 5.402318-5 1.230269+0 4.731280-5 1.333521+0 4.081880-5 1.496236+0 3.335232-5 1.778279+0 2.456039-5 1.972423+0 2.056944-5 2.290868+0 1.609186-5 2.660725+0 1.268359-5 3.054921+0 1.025514-5 3.548134+0 8.216617-6 4.120975+0 6.632257-6 4.841724+0 5.305797-6 5.754399+0 4.211172-6 6.918310+0 3.318025-6 8.317638+0 2.632281-6 1.011579+1 2.074729-6 1.288250+1 1.559565-6 1.640590+1 1.182091-6 2.162719+1 8.683334-7 2.985383+1 6.113569-7 4.216965+1 4.232941-7 6.606934+1 2.647030-7 1.148154+2 1.500599-7 2.290868+2 7.442784-8 4.570882+2 3.710307-8 1.819701+3 9.282956-9 1.000000+5 1.68710-10 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 2.645400-4 1.062100-4 1.000000+5 1.062100-4 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 2.645400-4 1.583300-4 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 5.564000-5 2.463996+5 5.590000-5 2.540976+5 5.623413-5 2.630265+5 5.665000-5 2.727084+5 5.725000-5 2.844084+5 5.770000-5 2.916630+5 5.830000-5 2.999250+5 5.900000-5 3.076884+5 5.970000-5 3.137274+5 6.070000-5 3.201732+5 6.180000-5 3.249888+5 6.309573-5 3.282905+5 6.456542-5 3.297742+5 6.683439-5 3.293861+5 7.079458-5 3.271484+5 7.300000-5 3.278820+5 7.483300-5 3.307457+5 7.650000-5 3.355734+5 7.800000-5 3.420150+5 7.950000-5 3.506100+5 8.080000-5 3.598716+5 8.230000-5 3.727362+5 8.413951-5 3.916120+5 8.609938-5 4.154034+5 8.810489-5 4.434936+5 9.015711-5 4.757637+5 9.400000-5 5.445912+5 1.023293-4 7.217994+5 1.083927-4 8.680715+5 1.135011-4 9.998926+5 1.190000-4 1.148568+6 1.244515-4 1.299962+6 1.288400-4 1.422129+6 1.333521-4 1.545828+6 1.380384-4 1.669545+6 1.430000-4 1.792440+6 1.480000-4 1.906236+6 1.531087-4 2.011894+6 1.584893-4 2.112278+6 1.650000-4 2.219892+6 1.720000-4 2.319474+6 1.800000-4 2.414220+6 1.883649-4 2.494127+6 1.972423-4 2.557769+6 2.041738-4 2.592822+6 2.120000-4 2.617752+6 2.220000-4 2.629134+6 2.330000-4 2.619732+6 2.454709-4 2.588743+6 2.600160-4 2.534061+6 2.730000-4 2.472708+6 2.851018-4 2.406661+6 3.000000-4 2.316258+6 3.162278-4 2.210456+6 3.350000-4 2.083566+6 3.550000-4 1.948824+6 3.780000-4 1.799574+6 4.000000-4 1.662840+6 4.216965-4 1.534744+6 4.466836-4 1.397645+6 4.731513-4 1.264653+6 5.069907-4 1.113681+6 5.370318-4 9.953420+5 5.754399-4 8.631018+5 6.100000-4 7.609380+5 6.606934-4 6.353115+5 7.000000-4 5.544456+5 7.585776-4 4.552682+5 8.128305-4 3.818821+5 8.810489-4 3.090453+5 9.700000-4 2.376864+5 1.059254-3 1.853763+5 1.148154-3 1.466377+5 1.244515-3 1.153522+5 1.364583-3 8.704356+4 1.513561-3 6.287076+4 1.678804-3 4.501864+4 1.840772-3 3.322948+4 2.041738-3 2.343731+4 2.264644-3 1.640908+4 2.511886-3 1.140509+4 2.786121-3 7.871315+3 3.090295-3 5.395543+3 3.427678-3 3.674187+3 3.845918-3 2.379348+3 4.315191-3 1.528872+3 4.841724-3 9.751475+2 5.432503-3 6.176930+2 6.095369-3 3.886293+2 6.918310-3 2.316477+2 7.852356-3 1.370017+2 8.912509-3 8.037619+1 1.011579-2 4.678189+1 1.148154-2 2.701079+1 1.303167-2 1.548092+1 1.500000-2 8.277480+0 1.737801-2 4.266455+0 2.041738-2 2.048436+0 2.371374-2 1.029733+0 2.851018-2 4.379254-1 3.467369-2 1.751197-1 4.570882-2 4.756974-2 7.498942-2 4.578873-3 9.120108-2 1.826481-3 1.083927-1 8.174930-4 1.258925-1 4.102197-4 1.445440-1 2.186696-4 1.640590-1 1.237487-4 1.840772-1 7.425225-5 2.065380-1 4.486035-5 2.290868-1 2.868281-5 2.540973-1 1.846696-5 2.786121-1 1.256672-5 3.054921-1 8.607027-6 3.349654-1 5.934344-6 3.715352-1 3.935959-6 4.216965-1 2.406260-6 4.570882-1 1.769901-6 4.954502-1 1.310355-6 5.370318-1 9.779377-7 5.821032-1 7.354670-7 6.237348-1 5.800037-7 6.760830-1 4.430677-7 7.328245-1 3.408793-7 8.035261-1 2.543446-7 8.511380-1 2.103826-7 8.912509-1 1.818032-7 9.225714-1 1.637024-7 9.549926-1 1.481208-7 9.885531-1 1.347817-7 1.023293+0 1.234357-7 1.059254+0 1.137184-7 1.096478+0 1.053162-7 1.148154+0 9.574796-8 1.202264+0 8.764201-8 1.288250+0 7.743136-8 1.380384+0 6.888523-8 1.500000+0 6.018100-8 1.862087+0 4.112945-8 2.041738+0 3.519828-8 2.371374+0 2.758411-8 2.754229+0 2.178095-8 3.126079+0 1.795266-8 3.630781+0 1.440109-8 4.265795+0 1.145064-8 5.011872+0 9.175136-9 5.956621+0 7.293612-9 7.244360+0 5.671031-9 8.609938+0 4.571734-9 1.047129+1 3.608221-9 1.318257+1 2.751760-9 1.678804+1 2.087273-9 2.213095+1 1.534251-9 3.054921+1 1.080805-9 4.365158+1 7.39690-10 6.760830+1 4.68417-10 1.188502+2 2.62520-10 2.371374+2 1.30252-10 4.731513+2 6.49433-11 1.883649+3 1.62504-11 1.000000+5 3.05740-13 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 5.564000-5 5.564000-5 1.000000+5 5.564000-5 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 5.564000-5 0.0 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 5.299000-5 3.717160+5 5.330000-5 3.835336+5 5.370318-5 3.965630+5 5.410000-5 4.074624+5 5.470000-5 4.209648+5 5.530000-5 4.316448+5 5.600000-5 4.413024+5 5.688529-5 4.503051+5 5.800000-5 4.576896+5 5.900000-5 4.616280+5 6.025596-5 4.640490+5 6.237348-5 4.640329+5 6.760830-5 4.578656+5 6.950000-5 4.579352+5 7.079458-5 4.596541+5 7.244360-5 4.643165+5 7.413102-5 4.724158+5 7.580000-5 4.841184+5 7.730000-5 4.979776+5 7.900000-5 5.176376+5 8.080000-5 5.430480+5 8.230000-5 5.677512+5 8.413951-5 6.022314+5 8.650000-5 6.527056+5 9.015711-5 7.429039+5 9.900000-5 1.004768+6 1.047129-4 1.196552+6 1.100000-4 1.385584+6 1.150000-4 1.572240+6 1.205000-4 1.782720+6 1.250400-4 1.956956+6 1.300000-4 2.143592+6 1.350000-4 2.323776+6 1.400000-4 2.492520+6 1.450000-4 2.647456+6 1.500000-4 2.787488+6 1.560000-4 2.936200+6 1.621810-4 3.069423+6 1.690000-4 3.196200+6 1.760000-4 3.304936+6 1.840772-4 3.407273+6 1.927525-4 3.490011+6 2.000000-4 3.537248+6 2.089296-4 3.569586+6 2.192000-4 3.576681+6 2.300000-4 3.556504+6 2.400000-4 3.517992+6 2.540973-4 3.440418+6 2.691535-4 3.337839+6 2.838200-4 3.222872+6 2.985383-4 3.094730+6 3.162278-4 2.931228+6 3.350000-4 2.755224+6 3.550000-4 2.570104+6 3.780000-4 2.366176+6 4.000000-4 2.181688+6 4.216965-4 2.009184+6 4.518559-4 1.789687+6 4.786301-4 1.614740+6 5.150000-4 1.405272+6 5.432503-4 1.262730+6 5.821032-4 1.091164+6 6.237348-4 9.368252+5 6.760830-4 7.772636+5 7.161434-4 6.764963+5 7.852356-4 5.369466+5 8.511380-4 4.349796+5 9.120108-4 3.610988+5 1.000000-3 2.795208+5 1.096478-3 2.144932+5 1.216186-3 1.577036+5 1.333521-3 1.190090+5 1.479108-3 8.596631+4 1.621810-3 6.388981+4 1.798871-3 4.541138+4 2.000000-3 3.177512+4 2.213095-3 2.241963+4 2.454709-3 1.557536+4 2.722701-3 1.074308+4 3.019952-3 7.358781+3 3.349654-3 5.007271+3 3.758374-3 3.239520+3 4.216965-3 2.079365+3 4.731513-3 1.324608+3 5.308844-3 8.378216+2 6.000000-3 5.110024+2 6.760830-3 3.132164+2 7.585776-3 1.940015+2 8.609938-3 1.136487+2 9.772372-3 6.604817+1 1.096478-2 4.003935+1 1.244515-2 2.291385+1 1.412538-2 1.301907+1 1.621810-2 6.974212+0 1.883649-2 3.519444+0 2.187762-2 1.763637+0 2.570396-2 8.307017-1 3.090295-2 3.485823-1 3.845918-2 1.232535-1 7.328245-2 5.621834-3 9.120108-2 1.984563-3 1.071519-1 9.276764-4 1.230269-1 4.866160-4 1.396368-1 2.710671-4 1.566751-1 1.602817-4 1.757924-1 9.546063-5 1.949845-1 6.029806-5 2.162719-1 3.836553-5 2.371374-1 2.583896-5 2.600160-1 1.751935-5 2.851018-1 1.196403-5 3.126079-1 8.233177-6 3.388442-1 5.975679-6 3.672823-1 4.365884-6 3.981072-1 3.212643-6 4.315191-1 2.381832-6 4.623810-1 1.854989-6 4.954502-1 1.453924-6 5.308844-1 1.147995-6 5.688529-1 9.124306-7 6.095369-1 7.298499-7 6.606935-1 5.670718-7 7.161434-1 4.438895-7 8.035261-1 3.161195-7 8.511380-1 2.656906-7 8.912509-1 2.323207-7 9.332543-1 2.043270-7 9.772372-1 1.810116-7 1.011579+0 1.662292-7 1.059254+0 1.494788-7 1.109175+0 1.354047-7 1.161449+0 1.234207-7 1.230269+0 1.107052-7 1.318257+0 9.782895-8 1.513561+0 7.740010-8 1.819701+0 5.591275-8 2.000000+0 4.759500-8 2.344229+0 3.672180-8 2.722701+0 2.897747-8 3.090295+0 2.386822-8 3.589219+0 1.913488-8 4.168694+0 1.545347-8 4.897788+0 1.236943-8 5.821032+0 9.822796-9 7.000000+0 7.740900-9 8.413951+0 6.145738-9 1.023293+1 4.846115-9 1.303167+1 3.644103-9 1.659587+1 2.763246-9 2.162719+1 2.056349-9 2.951209+1 1.465865-9 4.168694+1 1.014657-9 6.531306+1 6.34378-10 1.122018+2 3.63811-10 2.238721+2 1.80407-10 4.466836+2 8.99240-11 1.778279+3 2.24956-11 1.000000+5 3.99530-13 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 5.299000-5 5.299000-5 1.000000+5 5.299000-5 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 5.299000-5 0.0 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 9.157000-5 6.927920+4 9.310000-5 6.588480+4 9.400000-5 6.430000+4 9.550000-5 6.230700+4 9.700000-5 6.092560+4 9.850000-5 5.998540+4 1.000000-4 5.937780+4 1.020000-4 5.897960+4 1.040000-4 5.894080+4 1.071519-4 5.936566+4 1.109175-4 6.034899+4 1.260000-4 6.545180+4 1.318257-4 6.697340+4 1.380384-4 6.808164+4 1.450000-4 6.873580+4 1.513561-4 6.888374+4 1.603245-4 6.855305+4 1.698244-4 6.775723+4 1.819701-4 6.637412+4 1.950000-4 6.461900+4 2.089296-4 6.249377+4 2.238721-4 5.997666+4 2.400000-4 5.710400+4 2.600160-4 5.353366+4 2.851018-4 4.932909+4 3.126079-4 4.517249+4 3.427678-4 4.108014+4 3.801894-4 3.660486+4 4.315191-4 3.153489+4 4.841724-4 2.735861+4 5.559043-4 2.287346+4 6.456542-4 1.870641+4 7.673615-4 1.469848+4 9.015711-4 1.165531+4 1.083927-3 8.875839+3 1.318257-3 6.590590+3 1.584893-3 4.942731+3 1.905461-3 3.679954+3 2.290868-3 2.719174+3 2.754229-3 1.993665+3 3.311311-3 1.450596+3 4.000000-3 1.038682+3 4.841724-3 7.353701+2 5.888437-3 5.120839+2 7.161434-3 3.538563+2 8.709636-3 2.427040+2 1.059254-2 1.652258+2 1.288250-2 1.116204+2 1.548817-2 7.659775+1 1.862087-2 5.216915+1 2.238721-2 3.525529+1 2.660725-2 2.423918+1 3.162278-2 1.654687+1 3.758374-2 1.121411+1 4.518559-2 7.347252+0 5.248075-2 5.183243+0 6.237348-2 3.437383+0 7.498942-2 2.200711+0 8.912509-2 1.438188+0 1.109175-1 8.319998-1 1.445440-1 4.251858-1 2.511886-1 1.031120-1 3.126079-1 5.924992-2 3.715352-1 3.852372-2 4.265795-1 2.747843-2 4.897788-1 1.973875-2 5.559043-1 1.467496-2 6.237348-1 1.127980-2 7.079458-1 8.509034-3 8.035261-1 6.469453-3 9.015711-1 5.075277-3 1.000000+0 4.109700-3 1.161449+0 3.060541-3 1.318257+0 2.401904-3 1.496236+0 1.899671-3 1.678804+0 1.545130-3 1.883649+0 1.265801-3 2.113489+0 1.044856-3 2.454709+0 8.202119-4 2.851018+0 6.488199-4 3.235937+0 5.357522-4 3.758374+0 4.305167-4 4.415704+0 3.429022-4 5.188000+0 2.751999-4 6.165950+0 2.190988-4 7.585776+0 1.681269-4 9.120108+0 1.338884-4 1.109175+1 1.058909-4 1.364583+1 8.308245-5 1.737801+1 6.308338-5 2.290868+1 4.641439-5 3.198895+1 3.232388-5 4.677351+1 2.161441-5 7.079458+1 1.403450-5 1.273503+2 7.687893-6 2.540973+2 3.816928-6 5.069907+2 1.903760-6 4.027170+3 2.387280-7 1.000000+5 9.607100-9 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 9.157000-5 9.157000-5 1.000000+5 9.157000-5 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 9.157000-5 0.0 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 6.097000-5 1.721212+6 6.135000-5 1.751222+6 6.170000-5 1.772444+6 6.220000-5 1.792752+6 6.280000-5 1.805338+6 6.350000-5 1.806342+6 6.420000-5 1.797276+6 6.500000-5 1.776318+6 6.610000-5 1.735772+6 6.730000-5 1.680854+6 6.850000-5 1.618532+6 7.000000-5 1.534672+6 7.161434-5 1.441427+6 7.350000-5 1.333086+6 7.585776-5 1.203033+6 7.852356-5 1.067157+6 8.222426-5 9.017623+5 8.810489-5 6.937443+5 9.900000-5 4.443360+5 1.071519-4 3.307705+5 1.150000-4 2.558940+5 1.230269-4 2.016276+5 1.303167-4 1.655977+5 1.380384-4 1.370351+5 1.450000-4 1.173856+5 1.520000-4 1.019022+5 1.584893-4 9.043716+4 1.659587-4 7.984626+4 1.737801-4 7.101666+4 1.820000-4 6.360300+4 1.905461-4 5.741958+4 1.995262-4 5.219487+4 2.089296-4 4.779199+4 2.190000-4 4.399780+4 2.300000-4 4.067460+4 2.426610-4 3.763015+4 2.570396-4 3.489038+4 2.730000-4 3.246320+4 2.951209-4 2.981092+4 3.235937-4 2.718190+4 3.672823-4 2.416290+4 4.897788-4 1.864843+4 5.688529-4 1.618889+4 6.531306-4 1.411246+4 7.500000-4 1.220356+4 8.609938-4 1.047501+4 9.885531-4 8.914573+3 1.122018-3 7.633958+3 1.273503-3 6.491378+3 1.428894-3 5.566543+3 1.603245-3 4.745116+3 1.819701-3 3.953086+3 2.041738-3 3.326193+3 2.317395-3 2.730899+3 2.630268-3 2.225275+3 2.985383-3 1.799672+3 3.388442-3 1.444563+3 3.845918-3 1.150929+3 4.365158-3 9.102054+2 4.954502-3 7.146134+2 5.623413-3 5.570981+2 6.382635-3 4.311814+2 7.244360-3 3.313727+2 8.222426-3 2.529313+2 9.332543-3 1.917290+2 1.059254-2 1.443430+2 1.208000-2 1.067387+2 1.380384-2 7.798388+1 1.566751-2 5.748492+1 1.798871-2 4.090126+1 2.065380-2 2.888087+1 2.371374-2 2.024307+1 2.722701-2 1.408894+1 3.090295-2 1.006975+1 3.548134-2 6.923893+0 4.120975-2 4.580316+0 4.841724-2 2.912920+0 5.821032-2 1.722454+0 7.161434-2 9.456961-1 8.709636-2 5.331721-1 1.380384-1 1.365551-1 1.840772-1 5.844823-2 2.264644-1 3.193514-2 2.691535-1 1.943672-2 3.126079-1 1.272989-2 3.589219-1 8.674335-3 4.073803-1 6.145526-3 4.623810-1 4.386929-3 5.188000-1 3.252128-3 5.821032-1 2.428706-3 6.456542-1 1.880539-3 7.161434-1 1.466018-3 8.128305-1 1.090716-3 8.810489-1 9.067099-4 9.440609-1 7.783020-4 1.011579+0 6.725311-4 1.109175+0 5.581985-4 1.216186+0 4.664176-4 1.348963+0 3.840671-4 1.603245+0 2.811597-4 1.819701+0 2.250990-4 2.018366+0 1.889128-4 2.344229+0 1.479578-4 2.722701+0 1.167603-4 3.090295+0 9.618081-5 3.589219+0 7.710852-5 4.168694+0 6.227453-5 4.897788+0 4.984693-5 5.821032+0 3.958367-5 7.000000+0 3.119400-5 8.413951+0 2.476586-5 1.023293+1 1.952910-5 1.303167+1 1.468550-5 1.640590+1 1.128132-5 2.137962+1 8.392456-6 2.951209+1 5.907010-6 4.168694+1 4.088884-6 6.531306+1 2.556433-6 1.122018+2 1.466042-6 2.238721+2 7.270101-7 4.466836+2 3.623747-7 1.778279+3 9.065324-8 1.000000+5 1.610000-9 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 6.097000-5 6.097000-5 1.000000+5 6.097000-5 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 6.097000-5 0.0 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 4.940000-5 3.919980+6 4.985000-5 3.928796+6 5.040000-5 3.912504+6 5.110000-5 3.861772+6 5.190000-5 3.775452+6 5.289000-5 3.644230+6 5.400000-5 3.478600+6 5.500000-5 3.322060+6 5.650000-5 3.085020+6 5.821032-5 2.821811+6 6.025596-5 2.526623+6 6.237348-5 2.248886+6 6.531306-5 1.912607+6 7.762471-5 1.021407+6 8.222426-5 8.345830+5 8.650000-5 7.032600+5 9.015711-5 6.147676+5 9.440609-5 5.326575+5 9.900000-5 4.628400+5 1.035142-4 4.086745+5 1.080000-4 3.656132+5 1.122018-4 3.328080+5 1.170000-4 3.022716+5 1.220000-4 2.765564+5 1.273503-4 2.543308+5 1.333521-4 2.343139+5 1.400000-4 2.166056+5 1.480000-4 1.996980+5 1.566751-4 1.851303+5 1.678804-4 1.702201+5 1.819701-4 1.555863+5 2.000000-4 1.411460+5 2.851018-4 1.004033+5 3.311311-4 8.638204+4 3.801894-4 7.461786+4 4.365158-4 6.398677+4 4.954502-4 5.519088+4 5.688529-4 4.662046+4 6.500000-4 3.934600+4 7.500000-4 3.254624+4 8.511380-4 2.735734+4 9.772372-4 2.247693+4 1.122018-3 1.834154+4 1.303167-3 1.459899+4 1.500000-3 1.168856+4 1.698244-3 9.547464+3 1.927525-3 7.713561+3 2.213095-3 6.066217+3 2.511886-3 4.833158+3 2.851018-3 3.824472+3 3.235937-3 3.005303+3 3.672823-3 2.345186+3 4.168694-3 1.817364+3 4.731513-3 1.398570+3 5.370318-3 1.068936+3 6.095369-3 8.113672+2 6.918310-3 6.115603+2 7.852356-3 4.579269+2 8.912509-3 3.405099+2 1.011579-2 2.514553+2 1.148154-2 1.844010+2 1.303167-2 1.342917+2 1.479108-2 9.712521+1 1.678804-2 6.975699+1 1.927525-2 4.824366+1 2.213095-2 3.310505+1 2.511886-2 2.328173+1 2.884032-2 1.574148+1 3.349654-2 1.022214+1 3.890451-2 6.586994+0 4.518559-2 4.212642+0 5.308844-2 2.583392+0 6.237348-2 1.573041+0 7.585776-2 8.539421-1 9.660509-2 3.979885-1 1.659587-1 7.098565-2 2.041738-1 3.691785-2 2.398833-1 2.233973-2 2.754229-1 1.462089-2 3.126079-1 9.979773-3 3.548134-1 6.863373-3 3.981072-1 4.919734-3 4.415705-1 3.670663-3 4.897788-1 2.757419-3 5.432503-1 2.086596-3 6.025596-1 1.591042-3 6.683439-1 1.223126-3 7.413102-1 9.478152-4 8.609938-1 6.628384-4 9.225714-1 5.655266-4 9.772372-1 4.982196-4 1.047129+0 4.311897-4 1.135011+0 3.667334-4 1.250000+0 3.044500-4 1.380384+0 2.534104-4 1.678804+0 1.784858-4 1.883649+0 1.461494-4 2.113489+0 1.205975-4 2.454709+0 9.466385-5 2.851018+0 7.489027-5 3.235937+0 6.184213-5 3.758374+0 4.969470-5 4.415704+0 3.958137-5 5.188000+0 3.176650-5 6.165950+0 2.529056-5 7.498942+0 1.969077-5 9.015711+0 1.567359-5 1.083927+1 1.256113-5 1.333521+1 9.848394-6 1.698244+1 7.472882-6 2.238721+1 5.494689-6 3.090295+1 3.872001-6 4.415704+1 2.650583-6 6.760830+1 1.698953-6 1.188502+2 9.521328-7 2.371374+2 4.724325-7 4.731513+2 2.355548-7 3.758374+3 2.952792-8 1.000000+5 1.108900-9 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 4.940000-5 4.940000-5 1.000000+5 4.940000-5 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 4.940000-5 0.0 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 9.520000-6 2.927260+6 9.900000-6 3.151140+6 1.200000-5 4.637860+6 1.303167-5 5.432605+6 1.396368-5 6.156526+6 1.479108-5 6.793670+6 1.570000-5 7.479140+6 1.659587-5 8.129404+6 1.757924-5 8.799718+6 1.850000-5 9.370340+6 1.927525-5 9.795465+6 2.000000-5 1.013908+7 2.070000-5 1.041388+7 2.150000-5 1.065802+7 2.230000-5 1.082394+7 2.300000-5 1.090204+7 2.371374-5 1.091649+7 2.454709-5 1.085349+7 2.540973-5 1.070661+7 2.630268-5 1.048008+7 2.722701-5 1.017999+7 2.818383-5 9.811848+6 2.917427-5 9.388741+6 3.019952-5 8.921351+6 3.126079-5 8.422725+6 3.260000-5 7.794480+6 3.402400-5 7.148794+6 3.570000-5 6.436100+6 3.758374-5 5.707613+6 3.981072-5 4.951176+6 4.220000-5 4.259100+6 4.500000-5 3.582340+6 4.800000-5 2.989420+6 5.128614-5 2.464848+6 5.432503-5 2.069902+6 5.754399-5 1.726386+6 6.095369-5 1.429581+6 6.456542-5 1.174574+6 6.839116-5 9.577055+5 7.244360-5 7.751251+5 7.673615-5 6.227956+5 8.128305-5 4.971913+5 8.609938-5 3.944519+5 9.225714-5 2.964831+5 9.800000-5 2.294780+5 1.047129-4 1.719454+5 1.109175-4 1.329851+5 1.190000-4 9.637080+4 1.412538-4 4.312996+4 1.480000-4 3.482500+4 1.531087-4 2.997513+4 1.580000-4 2.624480+4 1.621810-4 2.363500+4 1.659587-4 2.166292+4 1.698244-4 1.996836+4 1.740000-4 1.844994+4 1.780000-4 1.725242+4 1.820000-4 1.626838+4 1.862087-4 1.542935+4 1.905461-4 1.474278+4 1.950000-4 1.419496+4 1.995262-4 1.377346+4 2.041738-4 1.345815+4 2.089296-4 1.323748+4 2.143800-4 1.308697+4 2.200000-4 1.302058+4 2.264644-4 1.302837+4 2.350000-4 1.313896+4 2.454709-4 1.336792+4 2.917427-4 1.462704+4 3.090295-4 1.498874+4 3.273407-4 1.526360+4 3.467369-4 1.544676+4 3.672823-4 1.553293+4 3.890451-4 1.551855+4 4.073803-4 1.542845+4 4.315191-4 1.521776+4 4.570882-4 1.491605+4 4.841724-4 1.453186+4 5.128614-4 1.407342+4 5.495409-4 1.344123+4 5.888437-4 1.274170+4 6.309573-4 1.199610+4 6.760830-4 1.122135+4 7.328245-4 1.030258+4 7.943282-4 9.385134+3 8.609938-4 8.482095+3 9.332543-4 7.610852+3 1.011579-3 6.782805+3 1.096478-3 6.004852+3 1.188502-3 5.281688+3 1.288250-3 4.616219+3 1.412538-3 3.927838+3 1.548817-3 3.316018+3 1.698244-3 2.778269+3 1.862087-3 2.310372+3 2.041738-3 1.907314+3 2.238721-3 1.563430+3 2.454709-3 1.272706+3 2.697000-3 1.024203+3 2.985383-3 8.039687+2 3.311311-3 6.230873+2 3.672823-3 4.791509+2 4.073803-3 3.656910+2 4.518559-3 2.770641+2 5.069907-3 2.021558+2 5.623413-3 1.509509+2 6.309573-3 1.082065+2 7.079458-3 7.696857+1 7.943282-3 5.431776+1 8.912509-3 3.803369+1 1.000000-2 2.643333+1 1.122018-2 1.824092+1 1.258925-2 1.250145+1 1.428894-2 8.186118+0 1.603245-2 5.531670+0 1.819701-2 3.568053+0 2.065380-2 2.285236+0 2.371374-2 1.395020+0 2.722701-2 8.454710-1 3.162278-2 4.877931-1 3.715352-2 2.676627-1 4.466836-2 1.337053-1 5.432503-2 6.346317-2 7.244360-2 2.100810-2 1.122019-1 3.900755-3 1.380384-1 1.768320-3 1.640590-1 9.210139-4 1.905461-1 5.268934-4 2.187762-1 3.168088-4 2.483133-1 2.000815-4 2.818383-1 1.272983-4 3.162278-1 8.499733-5 3.548134-1 5.718027-5 3.935501-1 4.030043-5 4.365158-1 2.860503-5 4.841724-1 2.045601-5 5.370318-1 1.474147-5 5.888437-1 1.109733-5 6.382635-1 8.717934-6 6.998420-1 6.667644-6 7.673615-1 5.137422-6 8.035261-1 4.518898-6 8.609938-1 3.716025-6 9.120108-1 3.177706-6 9.549926-1 2.819951-6 1.000000+0 2.518200-6 1.047129+0 2.265037-6 1.096478+0 2.051476-6 1.161449+0 1.827443-6 1.230269+0 1.639560-6 1.333521+0 1.418022-6 1.479108+0 1.186501-6 1.840772+0 8.073920-7 2.018366+0 6.907203-7 2.344229+0 5.410244-7 2.722701+0 4.269381-7 3.090295+0 3.516743-7 3.589219+0 2.819354-7 4.168694+0 2.276926-7 4.897788+0 1.822505-7 5.821032+0 1.447354-7 7.000000+0 1.140500-7 8.413951+0 9.055137-8 1.023293+1 7.140335-8 1.303167+1 5.369324-8 1.659587+1 4.071305-8 2.187762+1 2.991618-8 3.019952+1 2.106928-8 4.315191+1 1.441547-8 6.683439+1 9.127181-9 1.161449+2 5.174657-9 2.317395+2 2.566973-9 4.623810+2 1.279683-9 3.672823+3 1.60399-10 1.000000+5 5.88670-12 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 9.520000-6 9.520000-6 1.000000+5 9.520000-6 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 9.520000-6 0.0 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 8.500000-6 5.446170+6 1.011579-5 7.355673+6 1.100000-5 8.442630+6 1.188502-5 9.515941+6 1.288250-5 1.069562+7 1.380384-5 1.174580+7 1.479108-5 1.281317+7 1.570000-5 1.372842+7 1.659587-5 1.455075+7 1.757924-5 1.534145+7 1.850000-5 1.595610+7 1.927525-5 1.636517+7 2.000000-5 1.664889+7 2.070000-5 1.682910+7 2.150000-5 1.692186+7 2.230000-5 1.689555+7 2.300000-5 1.677765+7 2.371374-5 1.657152+7 2.454709-5 1.623287+7 2.540973-5 1.579021+7 2.630268-5 1.524906+7 2.730000-5 1.457454+7 2.830000-5 1.385082+7 2.917427-5 1.319688+7 3.019952-5 1.242239+7 3.150000-5 1.145382+7 3.300000-5 1.038840+7 3.467369-5 9.291148+6 3.650000-5 8.213910+6 3.850000-5 7.177710+6 4.120975-5 5.996631+6 4.400000-5 5.005050+6 4.677351-5 4.200694+6 5.000000-5 3.445680+6 5.308844-5 2.862938+6 5.650000-5 2.343420+6 5.956621-5 1.964392+6 6.309573-5 1.608668+6 6.683439-5 1.307377+6 7.079458-5 1.054415+6 7.500000-5 8.434770+5 7.943282-5 6.710747+5 8.413951-5 5.299496+5 9.015711-5 3.961185+5 9.549926-5 3.087339+5 1.023293-4 2.272262+5 1.083927-4 1.749041+5 1.174898-4 1.202943+5 1.318257-4 7.002039+4 1.380384-4 5.664703+4 1.430000-4 4.840050+4 1.480000-4 4.181280+4 1.520000-4 3.754380+4 1.560000-4 3.400800+4 1.600000-4 3.109440+4 1.640590-4 2.867351+4 1.678804-4 2.680629+4 1.717908-4 2.524180+4 1.757924-4 2.394874+4 1.798871-4 2.290063+4 1.840772-4 2.206967+4 1.883649-4 2.142640+4 1.930000-4 2.092374+4 1.980000-4 2.056818+4 2.020000-4 2.039874+4 2.080000-4 2.029116+4 2.150000-4 2.033049+4 2.220000-4 2.050080+4 2.344229-4 2.098035+4 2.691535-4 2.255740+4 2.917427-4 2.337018+4 3.054921-4 2.372943+4 3.235937-4 2.401463+4 3.427678-4 2.415034+4 3.630781-4 2.413334+4 3.845918-4 2.396328+4 4.073803-4 2.363688+4 4.315191-4 2.315682+4 4.570882-4 2.255007+4 4.841724-4 2.183193+4 5.128614-4 2.101697+4 5.495409-4 1.993674+4 5.888437-4 1.877834+4 6.309573-4 1.757390+4 6.839116-4 1.614122+4 7.413102-4 1.471197+4 8.035261-4 1.330826+4 8.709636-4 1.194752+4 9.440609-4 1.065030+4 1.023293-3 9.430604+3 1.109175-3 8.298476+3 1.202264-3 7.256993+3 1.318257-3 6.179449+3 1.445440-3 5.220954+3 1.584893-3 4.377626+3 1.737801-3 3.643152+3 1.905461-3 3.009692+3 2.089296-3 2.468429+3 2.290868-3 2.010341+3 2.511886-3 1.626377+3 2.754229-3 1.306948+3 3.019952-3 1.043129+3 3.311311-3 8.257534+2 3.672823-3 6.296351+2 4.168694-3 4.479421+2 4.623810-3 3.369888+2 5.128614-3 2.517724+2 5.688529-3 1.867600+2 6.309573-3 1.375984+2 6.998420-3 1.007077+2 7.852356-3 7.065210+1 8.810489-3 4.917204+1 9.885531-3 3.396050+1 1.109175-2 2.328267+1 1.244515-2 1.584919+1 1.396368-2 1.071360+1 1.566751-2 7.191991+0 1.778279-2 4.603445+0 2.018366-2 2.924520+0 2.290868-2 1.844838+0 2.630268-2 1.107712+0 3.019952-2 6.603412-1 3.507519-2 3.741398-1 4.120975-2 2.014095-1 4.954502-2 9.846903-2 6.165950-2 4.169205-2 1.109175-1 4.095782-3 1.333521-1 1.989914-3 1.566751-1 1.065647-3 1.798871-1 6.283563-4 2.041738-1 3.899590-4 2.290868-1 2.544777-4 2.540973-1 1.744324-4 2.818383-1 1.203870-4 3.090295-1 8.713585-5 3.388442-1 6.348194-5 3.715352-1 4.656351-5 4.073803-1 3.440008-5 4.466836-1 2.560761-5 4.841724-1 1.990720-5 5.248075-1 1.557349-5 5.688529-1 1.226272-5 6.165950-1 9.722746-6 6.683439-1 7.765212-6 7.244360-1 6.243479-6 7.852356-1 5.052448-6 8.609938-1 3.976247-6 9.120108-1 3.443263-6 9.660509-1 3.002410-6 1.011579+0 2.706865-6 1.071519+0 2.394093-6 1.148154+0 2.081909-6 1.230269+0 1.823042-6 1.333521+0 1.571996-6 1.819701+0 9.077130-7 2.018366+0 7.615202-7 2.344229+0 5.964861-7 2.722701+0 4.706983-7 3.090295+0 3.877160-7 3.589219+0 3.108320-7 4.168694+0 2.510339-7 4.897788+0 2.009366-7 5.821032+0 1.595629-7 7.000000+0 1.257400-7 8.413951+0 9.983475-8 1.023293+1 7.872120-8 1.303167+1 5.919667-8 1.659587+1 4.488676-8 2.187762+1 3.298194-8 3.019952+1 2.322882-8 4.315191+1 1.589274-8 6.683439+1 1.006242-8 1.161449+2 5.705055-9 2.317395+2 2.830004-9 4.623810+2 1.410910-9 1.840772+3 3.53006-10 1.000000+5 6.49000-12 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 8.500000-6 8.500000-6 1.000000+5 8.500000-6 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 8.500000-6 0.0 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 8.060000-6 6.316560+6 8.709636-6 4.570116+6 9.772372-6 2.798640+6 1.083927-5 1.786545+6 1.200000-5 1.141364+6 1.333521-5 7.115953+5 1.500000-5 4.166880+5 1.778279-5 1.909328+5 1.905461-5 1.398415+5 2.000000-5 1.130336+5 2.089296-5 9.386848+4 2.162719-5 8.150050+4 2.238721-5 7.120213+4 2.317395-5 6.266414+4 2.371374-5 5.781186+4 2.426610-5 5.356103+4 2.500000-5 4.884340+4 2.570396-5 4.514361+4 2.638800-5 4.218315+4 2.710000-5 3.964920+4 2.786121-5 3.744787+4 2.851018-5 3.591367+4 2.920000-5 3.456920+4 3.000000-5 3.331640+4 3.090295-5 3.222272+4 3.190000-5 3.132640+4 3.300000-5 3.062800+4 3.427678-5 3.009948+4 3.570000-5 2.976100+4 3.758374-5 2.957201+4 4.027170-5 2.956767+4 4.677351-5 2.975944+4 5.069907-5 2.968875+4 5.432503-5 2.943438+4 5.821032-5 2.897101+4 6.237348-5 2.829337+4 6.683439-5 2.742031+4 7.161434-5 2.638644+4 7.673615-5 2.521500+4 8.300000-5 2.376400+4 9.015711-5 2.215581+4 9.885531-5 2.034725+4 1.096478-4 1.834799+4 1.258925-4 1.584545+4 1.500000-4 1.302910+4 2.344229-4 7.850639+3 2.600160-4 6.936186+3 2.917427-4 6.002390+3 3.235937-4 5.233469+3 3.801894-4 4.189755+3 5.308844-4 2.617840+3 6.095369-4 2.145987+3 7.328245-4 1.629322+3 1.023293-3 9.821679+2 1.244515-3 7.242080+2 1.548817-3 5.109599+2 1.905461-3 3.646297+2 2.317395-3 2.632214+2 2.818383-3 1.886009+2 3.388442-3 1.367833+2 4.120975-3 9.650099+1 5.011872-3 6.755151+1 6.095369-3 4.694393+1 7.413102-3 3.237404+1 9.015711-3 2.216030+1 1.109175-2 1.471652+1 1.348963-2 9.922939+0 1.621810-2 6.796209+0 1.949845-2 4.619246+0 2.344229-2 3.115258+0 2.786121-2 2.137834+0 3.311311-2 1.456553+0 3.935501-2 9.851883-1 4.677351-2 6.614860-1 5.495409-2 4.529632-1 6.606934-2 2.915703-1 8.000000-2 1.830500-1 9.772372-2 1.114140-1 1.230269-1 6.240759-2 1.566751-1 3.371860-2 2.454709-1 1.065782-2 3.054921-1 6.120146-3 3.630781-1 3.975770-3 4.216965-1 2.755202-3 4.841724-1 1.978406-3 5.495409-1 1.470393-3 6.165950-1 1.129887-3 6.998420-1 8.522031-4 7.852356-1 6.641008-4 8.810489-1 5.209033-4 9.772372-1 4.214917-4 1.135011+0 3.136193-4 1.288250+0 2.457813-4 1.462177+0 1.940655-4 1.640590+0 1.576090-4 1.840772+0 1.289192-4 2.044000+0 1.081300-4 2.398833+0 8.335716-5 2.786121+0 6.585167-5 3.162278+0 5.430485-5 3.672823+0 4.358699-5 4.315191+0 3.467747-5 5.069907+0 2.780187-5 6.025596+0 2.211187-5 7.328245+0 1.720053-5 8.709636+0 1.387225-5 1.047129+1 1.110409-5 1.318257+1 8.468596-6 1.678804+1 6.423620-6 2.213095+1 4.721579-6 3.054921+1 3.326278-6 4.365158+1 2.276407-6 6.760830+1 1.441559-6 1.188502+2 8.079101-7 2.371374+2 4.008597-7 4.731513+2 1.998675-7 3.758374+3 2.505440-8 1.000000+5 9.40930-10 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 8.060000-6 8.060000-6 1.000000+5 8.060000-6 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 8.060000-6 0.0 1.000000+5 1.000000+5 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 4.746860-7 1.026100+0 1.073310-6 1.026600+0 1.513110-6 1.027100+0 2.058620-6 1.027500+0 2.578400-6 1.028100+0 3.510450-6 1.028750+0 4.746860-6 1.029500+0 6.496200-6 1.030100+0 8.169770-6 1.031000+0 1.117900-5 1.032000+0 1.529570-5 1.033200+0 2.142670-5 1.034000+0 2.630320-5 1.035300+0 3.570290-5 1.036640+0 4.746860-5 1.038200+0 6.406040-5 1.039700+0 8.322730-5 1.041500+0 1.107330-4 1.043800+0 1.537010-4 1.046400+0 2.138460-4 1.048300+0 2.662440-4 1.051200+0 3.611540-4 1.054080+0 4.746860-4 1.057700+0 6.470290-4 1.061100+0 8.416240-4 1.065100+0 1.114220-3 1.070400+0 1.554460-3 1.076200+0 2.148260-3 1.080600+0 2.682830-3 1.087100+0 3.614640-3 1.093710+0 4.746860-3 1.102600+0 6.581250-3 1.110700+0 8.582910-3 1.120600+0 1.148070-2 1.133300+0 1.596220-2 1.147500+0 2.203800-2 1.158200+0 2.738760-2 1.174100+0 3.660660-2 1.190110+0 4.746860-2 1.205100+0 5.910130-2 1.227500+0 7.911610-2 1.250000+0 1.022000-1 1.265600+0 1.197690-1 1.294900+0 1.558610-1 1.331800+0 2.062080-1 1.362600+0 2.516080-1 1.397000+0 3.052030-1 1.433800+0 3.652560-1 1.477900+0 4.403710-1 1.500000+0 4.793000-1 1.562500+0 5.935970-1 1.617200+0 6.981080-1 1.712900+0 8.883820-1 1.838500+0 1.146460+0 1.946200+0 1.369940+0 2.000000+0 1.481000+0 2.044000+0 1.571000+0 2.163500+0 1.812420+0 2.372600+0 2.223030+0 2.647100+0 2.736670+0 3.000000+0 3.357000+0 3.500000+0 4.168720+0 4.000000+0 4.911000+0 4.750000+0 5.908490+0 5.000000+0 6.215000+0 6.000000+0 7.335000+0 7.000000+0 8.323000+0 8.000000+0 9.211000+0 9.000000+0 1.002000+1 1.000000+1 1.076000+1 1.100000+1 1.145000+1 1.200000+1 1.209000+1 1.300000+1 1.268000+1 1.400000+1 1.324000+1 1.500000+1 1.376000+1 1.600000+1 1.424000+1 1.800000+1 1.512000+1 2.000000+1 1.590000+1 2.200000+1 1.660000+1 2.400000+1 1.724000+1 2.600000+1 1.783000+1 2.800000+1 1.837000+1 3.000000+1 1.887000+1 4.000000+1 2.089000+1 5.000000+1 2.240000+1 6.000000+1 2.357000+1 8.000000+1 2.528000+1 1.000000+2 2.649000+1 1.500000+2 2.840000+1 2.000000+2 2.953000+1 3.000000+2 3.085000+1 4.000000+2 3.160000+1 5.000000+2 3.209000+1 6.000000+2 3.244000+1 8.000000+2 3.291000+1 1.000000+3 3.321000+1 1.500000+3 3.365000+1 2.000000+3 3.389000+1 3.000000+3 3.414000+1 4.000000+3 3.428000+1 5.000000+3 3.437000+1 6.000000+3 3.443000+1 8.000000+3 3.451000+1 1.000000+4 3.456000+1 1.500000+4 3.463000+1 2.000000+4 3.466000+1 3.000000+4 3.470000+1 4.000000+4 3.472000+1 5.000000+4 3.474000+1 6.000000+4 3.474000+1 8.000000+4 3.476000+1 1.000000+5 3.476000+1 1 75000 7 8 1.862000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 7.511200-7 2.090400+0 1.019830-6 2.094700+0 1.322370-6 2.099900+0 1.759230-6 2.106600+0 2.447230-6 2.114000+0 3.386050-6 2.119500+0 4.215610-6 2.127900+0 5.717170-6 2.136250+0 7.511200-6 2.147000+0 1.029840-5 2.156900+0 1.337640-5 2.169000+0 1.785160-5 2.184500+0 2.481430-5 2.201800+0 3.433130-5 2.214800+0 4.277410-5 2.234200+0 5.753880-5 2.253680+0 7.511200-5 2.281500+0 1.052080-4 2.307000+0 1.381900-4 2.338200+0 1.858080-4 2.377400+0 2.573210-4 2.410200+0 3.272690-4 2.446800+0 4.163040-4 2.485900+0 5.241500-4 2.532900+0 6.708020-4 2.556430+0 7.511200-4 2.611900+0 9.577690-4 2.660400+0 1.157900-3 2.745300+0 1.549790-3 2.809000+0 1.876900-3 2.904500+0 2.417920-3 3.000000+0 3.018000-3 3.125000+0 3.891310-3 3.234400+0 4.734390-3 3.425800+0 6.374150-3 3.569300+0 7.727940-3 3.784700+0 9.931680-3 4.000000+0 1.230000-2 4.250000+0 1.519490-2 4.625000+0 1.974330-2 5.000000+0 2.447000-2 5.500000+0 3.095390-2 6.000000+0 3.752000-2 6.750000+0 4.728110-2 7.000000+0 5.049000-2 8.000000+0 6.303000-2 9.000000+0 7.501000-2 1.000000+1 8.637000-2 1.100000+1 9.711000-2 1.200000+1 1.072000-1 1.300000+1 1.167000-1 1.400000+1 1.258000-1 1.500000+1 1.343000-1 1.600000+1 1.424000-1 1.800000+1 1.574000-1 2.000000+1 1.709000-1 2.200000+1 1.833000-1 2.400000+1 1.947000-1 2.600000+1 2.052000-1 2.800000+1 2.148000-1 3.000000+1 2.238000-1 4.000000+1 2.608000-1 5.000000+1 2.886000-1 6.000000+1 3.105000-1 8.000000+1 3.432000-1 1.000000+2 3.668000-1 1.500000+2 4.053000-1 2.000000+2 4.292000-1 3.000000+2 4.581000-1 4.000000+2 4.753000-1 5.000000+2 4.870000-1 6.000000+2 4.955000-1 8.000000+2 5.072000-1 1.000000+3 5.150000-1 1.500000+3 5.265000-1 2.000000+3 5.330000-1 3.000000+3 5.401000-1 4.000000+3 5.443000-1 5.000000+3 5.468000-1 6.000000+3 5.486000-1 8.000000+3 5.510000-1 1.000000+4 5.525000-1 1.500000+4 5.545000-1 2.000000+4 5.557000-1 3.000000+4 5.568000-1 4.000000+4 5.576000-1 5.000000+4 5.580000-1 6.000000+4 5.583000-1 8.000000+4 5.585000-1 1.000000+5 5.588000-1 1 75000 7 8 1.862000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 75000 7 9 1.862000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 7.500000+1 1.000000+5 7.500000+1 5.000000+5 7.496200+1 7.500000+5 7.493860+1 9.375000+5 7.492570+1 1.000000+6 7.492200+1 1.250000+6 7.490060+1 1.500000+6 7.487500+1 2.000000+6 7.478000+1 2.500000+6 7.465800+1 3.000000+6 7.451100+1 3.500000+6 7.433870+1 4.000000+6 7.414800+1 4.500000+6 7.394230+1 5.000000+6 7.371500+1 5.500000+6 7.346340+1 6.156200+6 7.309630+1 6.500000+6 7.290000+1 6.718700+6 7.276590+1 7.000000+6 7.260000+1 7.500000+6 7.228120+1 8.250000+6 7.180040+1 9.000000+6 7.130600+1 1.000000+7 7.062600+1 1.125000+7 6.972690+1 1.187500+7 6.926660+1 1.250000+7 6.880000+1 1.500000+7 6.691200+1 1.750000+7 6.506000+1 2.000000+7 6.318600+1 2.375000+7 6.041690+1 2.500000+7 5.951900+1 2.875000+7 5.686310+1 3.000000+7 5.600300+1 3.437500+7 5.305950+1 3.500000+7 5.265490+1 4.000000+7 4.955000+1 4.500000+7 4.670350+1 5.000000+7 4.408700+1 5.500000+7 4.166700+1 6.000000+7 3.940900+1 6.500000+7 3.728570+1 6.750000+7 3.627520+1 7.000000+7 3.529400+1 7.750000+7 3.251680+1 8.000000+7 3.165100+1 8.750000+7 2.920600+1 9.000000+7 2.844600+1 1.000000+8 2.565800+1 1.250000+8 2.038200+1 1.375000+8 1.857000+1 1.500000+8 1.717100+1 1.750000+8 1.514740+1 1.812500+8 1.471880+1 1.937500+8 1.389220+1 2.000000+8 1.348600+1 2.125000+8 1.268420+1 2.250000+8 1.193430+1 2.500000+8 1.067800+1 2.718800+8 9.807260+0 2.815400+8 9.419220+0 2.875000+8 9.167200+0 2.881300+8 9.139440+0 2.960400+8 8.782760+0 3.000000+8 8.595100+0 3.062500+8 8.286740+0 3.335900+8 7.034470+0 3.418000+8 6.745960+0 3.500000+8 6.512300+0 3.562500+8 6.372650+0 3.671900+8 6.184390+0 4.000000+8 5.762100+0 4.125000+8 5.574140+0 4.234400+8 5.394490+0 4.425800+8 5.071790+0 4.784700+8 4.522530+0 5.000000+8 4.261800+0 5.125000+8 4.138100+0 5.781300+8 3.639030+0 6.000000+8 3.477800+0 7.000000+8 2.775000+0 7.250000+8 2.659550+0 7.718800+8 2.469780+0 7.906300+8 2.389600+0 8.000000+8 2.347100+0 8.125000+8 2.287120+0 8.359400+8 2.168920+0 8.564500+8 2.064000+0 9.461700+8 1.660420+0 9.730800+8 1.568250+0 1.000000+9 1.491200+0 1.015600+9 1.453500+0 1.045900+9 1.392630+0 1.074300+9 1.347320+0 1.113400+9 1.299080+0 1.149200+9 1.265670+0 1.193100+9 1.234560+0 1.249300+9 1.205020+0 1.375000+9 1.155360+0 1.419400+9 1.137600+0 1.473100+9 1.113480+0 1.500000+9 1.100000+0 1.562500+9 1.064360+0 1.617200+9 1.029910+0 1.665000+9 9.982170-1 1.748800+9 9.410930-1 1.811600+9 8.982700-1 1.905800+9 8.358880-1 2.000000+9 7.771600-1 2.139200+9 6.983290-1 2.272600+9 6.311990-1 2.443000+9 5.560260-1 2.602800+9 4.949400-1 2.825100+9 4.227310-1 2.961100+9 3.848030-1 3.215900+9 3.242280-1 3.438900+9 2.805400-1 3.500000+9 2.698540-1 3.719500+9 2.353540-1 3.954200+9 2.042570-1 4.215700+9 1.753790-1 4.495800+9 1.498190-1 4.831900+9 1.249540-1 5.000000+9 1.144500-1 5.375000+9 9.468730-2 5.703100+9 8.079760-2 6.277300+9 6.215320-2 7.138700+9 4.337020-2 8.000000+9 3.136600-2 1.00000+10 1.652900-2 1.54060+10 4.791160-3 2.13670+10 1.886080-3 3.11960+10 6.450810-4 4.73220+10 1.993650-4 6.61360+10 7.805120-5 1.00000+11 2.467500-5 1.34280+11 1.090880-5 2.20600+11 2.781540-6 4.19930+11 4.795320-7 1.03480+12 4.179690-8 3.24440+12 1.957320-9 1.00000+14 2.20230-13 3.16230+15 2.20774-17 1.00000+17 2.09510-21 1 75000 7 0 1.862000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 8.10000-12 1.000000+2 8.10000-10 1.000000+3 8.100000-8 1.000000+4 8.100000-6 1.000000+5 8.100000-4 5.000000+5 2.025000-2 7.500000+5 4.556250-2 9.375000+5 7.119141-2 1.000000+6 8.100000-2 1.250000+6 1.257280-1 1.500000+6 1.797000-1 2.000000+6 3.153000-1 2.500000+6 4.845000-1 3.000000+6 6.837000-1 3.500000+6 9.089250-1 4.000000+6 1.156200+0 4.500000+6 1.421250+0 5.000000+6 1.700000+0 5.500000+6 1.988440+0 6.156200+6 2.376440+0 6.500000+6 2.581830+0 6.718700+6 2.712750+0 7.000000+6 2.881400+0 7.500000+6 3.179290+0 8.250000+6 3.621280+0 9.000000+6 4.054400+0 1.000000+7 4.615000+0 1.125000+7 5.290220+0 1.187500+7 5.619670+0 1.250000+7 5.945000+0 1.500000+7 7.219000+0 1.750000+7 8.478400+0 2.000000+7 9.739000+0 2.375000+7 1.160680+1 2.500000+7 1.222200+1 2.875000+7 1.403760+1 3.000000+7 1.463500+1 3.437500+7 1.668290+1 3.500000+7 1.697110+1 4.000000+7 1.921700+1 4.500000+7 2.135650+1 5.000000+7 2.336100+1 5.500000+7 2.521110+1 6.000000+7 2.691400+1 6.500000+7 2.848260+1 6.750000+7 2.922480+1 7.000000+7 2.994500+1 7.750000+7 3.197740+1 8.000000+7 3.262400+1 8.750000+7 3.447750+1 9.000000+7 3.507500+1 1.000000+8 3.735700+1 1.250000+8 4.247400+1 1.375000+8 4.476700+1 1.500000+8 4.689500+1 1.750000+8 5.063690+1 1.812500+8 5.147010+1 1.937500+8 5.302260+1 2.000000+8 5.373900+1 2.125000+8 5.505940+1 2.250000+8 5.625150+1 2.500000+8 5.831100+1 2.718800+8 5.981800+1 2.815400+8 6.041410+1 2.875000+8 6.075850+1 2.881300+8 6.079450+1 2.960400+8 6.123860+1 3.000000+8 6.145200+1 3.062500+8 6.177110+1 3.335900+8 6.306570+1 3.418000+8 6.341680+1 3.500000+8 6.375600+1 3.562500+8 6.399820+1 3.671900+8 6.441430+1 4.000000+8 6.554600+1 4.125000+8 6.593130+1 4.234400+8 6.626080+1 4.425800+8 6.679900+1 4.784700+8 6.770610+1 5.000000+8 6.820100+1 5.125000+8 6.846720+1 5.781300+8 6.969730+1 6.000000+8 7.005300+1 7.000000+8 7.132200+1 7.250000+8 7.156150+1 7.718800+8 7.196350+1 7.906300+8 7.210520+1 8.000000+8 7.217200+1 8.125000+8 7.225210+1 8.359400+8 7.239930+1 8.564500+8 7.251960+1 9.461700+8 7.294530+1 9.730800+8 7.305300+1 1.000000+9 7.315800+1 1.015600+9 7.321060+1 1.045900+9 7.331070+1 1.074300+9 7.339770+1 1.113400+9 7.350550+1 1.149200+9 7.360110+1 1.193100+9 7.370620+1 1.249300+9 7.382430+1 1.375000+9 7.405190+1 1.419400+9 7.412020+1 1.473100+9 7.420010+1 1.500000+9 7.423900+1 1.562500+9 7.431210+1 1.617200+9 7.437380+1 1.665000+9 7.442610+1 1.748800+9 7.450740+1 1.811600+9 7.455690+1 1.905800+9 7.462820+1 2.000000+9 7.469600+1 2.139200+9 7.476740+1 2.272600+9 7.481990+1 2.443000+9 7.487440+1 2.602800+9 7.491520+1 2.825100+9 7.495390+1 2.961100+9 7.496670+1 3.215900+9 7.498610+1 3.438900+9 7.499820+1 3.500000+9 7.499820+1 3.719500+9 7.499810+1 3.954200+9 7.499810+1 4.215700+9 7.499810+1 4.495800+9 7.499800+1 4.831900+9 7.499800+1 5.000000+9 7.499800+1 5.375000+9 7.499830+1 5.703100+9 7.499860+1 6.277300+9 7.499900+1 7.138700+9 7.499950+1 8.000000+9 7.500000+1 1.00000+10 7.500000+1 1.54060+10 7.500000+1 2.13670+10 7.500000+1 3.11960+10 7.500000+1 4.73220+10 7.500000+1 6.61360+10 7.500000+1 1.00000+11 7.500000+1 1.34280+11 7.500000+1 2.20600+11 7.500000+1 4.19930+11 7.500000+1 1.03480+12 7.500000+1 3.24440+12 7.500000+1 1.00000+14 7.500000+1 3.16230+15 7.500000+1 1.00000+17 7.500000+1 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.022260-6 5.826758-7 1.024770-6 1.152955-6 1.027280-6 2.105966-6 1.029790-6 3.550948-6 1.032300-6 5.527021-6 1.034810-6 7.941305-6 1.037320-6 1.053286-5 1.039830-6 1.289600-5 1.042340-6 1.457529-5 1.044850-6 1.520665-5 1.047360-6 1.464549-5 1.049870-6 1.302051-5 1.052380-6 1.068578-5 1.057400-6 5.661408-6 1.059910-6 3.654808-6 1.062420-6 2.178004-6 1.064930-6 1.198138-6 1.067440-6 6.084277-7 1.069950-6 0.0 3.238431-6 0.0 4.169893-6 0.0 4.185289-6 2.976524+0 4.190421-6 3.956113+0 4.200684-6 7.226163+0 4.210948-6 1.218430+1 4.222495-6 1.999809+1 4.240296-6 3.488815+1 4.252644-6 4.460913+1 4.263209-6 5.021040+1 4.273974-6 5.190800+1 4.284238-6 4.946998+1 4.295165-6 4.303534+1 4.312480-6 2.873662+1 4.323848-6 1.942589+1 4.334753-6 1.222467+1 4.344376-6 7.473346+0 4.354639-6 4.111149+0 4.369393-6 1.175532+0 4.375167-6 0.0 4.563017-6 0.0 4.579864-6 3.48403-13 4.585480-6 4.63064-13 4.596711-6 8.45825-13 4.607942-6 1.42618-12 4.613709-6 1.83323-12 4.636422-6 7.935556+0 4.647778-6 1.449494+1 4.659134-6 2.444046+1 4.671494-6 3.953742+1 4.705268-6 8.948135+1 4.717752-6 1.010209+2 4.728025-6 1.044081+2 4.739830-6 9.961914+1 4.751377-6 8.759554+1 4.784050-6 3.896634+1 4.795406-6 2.515531+1 4.806762-6 1.499076+1 4.818118-6 8.246543+0 4.835153-6 2.096305+0 4.840831-6 0.0 5.006833-6 0.0 5.028400-6 1.216101+0 5.031481-6 1.388057+0 5.044189-6 2.589635+0 5.056513-6 4.349202+0 5.069758-6 6.961449+0 5.104933-6 1.541232+1 5.118878-6 1.761701+1 5.130840-6 1.826536+1 5.143164-6 1.750990+1 5.156258-6 1.532495+1 5.175899-6 1.062477+1 5.191688-6 6.815841+0 5.204012-6 4.400070+0 5.216336-6 2.622127+0 5.228659-6 1.442453+0 5.247145-6 3.666775-1 5.253307-6 0.0 5.582767-6 0.0 5.606814-6 8.094198-1 5.610679-6 9.476792-1 5.624206-6 1.705575+0 5.638417-6 2.924097+0 5.653196-6 4.673972+0 5.693335-6 1.039594+1 5.707700-6 1.172564+1 5.720609-6 1.217119+1 5.734780-6 1.165435+1 5.748758-6 1.028121+1 5.788886-6 4.536529+0 5.802628-6 2.928625+0 5.816369-6 1.745251+0 5.830110-6 9.600770-1 5.852843-6 1.687736-1 5.857593-6 5.13921-14 5.861910-6 4.09187-14 5.882634-6 1.04017-14 5.889542-6 0.0 6.006342-6 0.0 6.026583-6 7.209349-8 6.041417-6 7.320150-2 6.056251-6 1.448455-1 6.071084-6 2.645722-1 6.085918-6 4.461050-1 6.100752-6 6.943586-1 6.145253-6 1.620121+0 6.160086-6 1.831090+0 6.174920-6 1.910408+0 6.189754-6 1.839909+0 6.204587-6 1.635763+0 6.249088-6 7.112410-1 6.263922-6 4.591524-1 6.278756-6 2.736220-1 6.293589-6 1.505217-1 6.308423-6 7.643656-2 6.323257-6 0.0 6.339843-6 0.0 6.363250-6 9.995214-2 6.371052-6 1.328469-1 6.386657-6 2.426557-1 6.402262-6 4.091509-1 6.417866-6 6.368400-1 6.446272-6 1.170720+0 6.466272-6 1.912696+0 6.478400-6 2.305691+0 6.494978-6 2.962553+0 6.516693-6 4.066328+0 6.540565-6 5.543900+0 6.574325-6 7.717847+0 6.592257-6 8.357592+0 6.606098-6 8.437370+0 6.621878-6 7.960193+0 6.641913-6 6.623347+0 6.683656-6 3.063459+0 6.699521-6 1.977669+0 6.715387-6 1.178553+0 6.731252-6 6.483341-1 6.756743-6 1.296538-1 6.762982-6 7.647042-6 6.773468-6 2.543796-6 6.782326-6 2.42120-14 6.799256-6 4.12284-14 6.815828-6 6.41716-14 6.838802-6 1.03807-13 6.872467-6 2.108880-1 6.889300-6 3.852043-1 6.906133-6 6.495074-1 6.924751-6 1.057677+0 6.975385-6 2.393802+0 6.994373-6 2.690647+0 7.011262-6 2.753251+0 7.028263-6 2.602199+0 7.047279-6 2.231115+0 7.074461-6 1.543489+0 7.093533-6 1.188472+0 7.108127-6 9.933336-1 7.124960-6 9.331739-1 7.141793-6 1.044569+0 7.165265-6 1.433638+0 7.181133-6 1.758500+0 7.203599-6 2.299832+0 7.225361-6 2.647563+0 7.245630-6 2.730992+0 7.263036-6 2.574698+0 7.280442-6 2.248674+0 7.332659-6 9.420109-1 7.350065-6 6.065935-1 7.363208-6 4.265278-1 7.367728-6 3.741090-1 7.384876-6 2.600240-1 7.397917-6 2.277800-1 7.415589-6 2.115478-1 7.419688-6 2.162998-1 7.433708-6 3.115247-1 7.451826-6 4.803673-1 7.466282-6 6.489658-1 7.507308-6 1.213070+0 7.539766-6 1.592278+0 7.548991-6 1.686435+0 7.578657-6 1.902220+0 7.622951-6 2.058931+0 7.657223-6 2.017668+0 7.679002-6 1.894121+0 7.702333-6 1.691890+0 7.740735-6 1.287507+0 7.755426-6 1.170558+0 7.781152-6 1.110815+0 7.796653-6 1.119414+0 7.814260-6 1.206286+0 7.833650-6 1.389134+0 7.870776-6 2.003114+0 7.909260-6 2.700772+0 7.930088-6 2.947512+0 7.948949-6 3.027715+0 7.972303-6 2.922534+0 8.022768-6 2.346275+0 8.050813-6 2.018279+0 8.070380-6 1.850908+0 8.115988-6 1.584596+0 8.136308-6 1.469030+0 8.208650-6 1.325651+0 8.312009-6 1.274854+0 8.382363-6 1.242498+0 8.441613-6 1.197835+0 8.481892-6 1.222382+0 8.515638-6 1.305650+0 8.548449-6 1.449545+0 8.618589-6 1.876605+0 8.653624-6 1.991659+0 8.674627-6 1.987284+0 8.706719-6 1.876624+0 8.776814-6 1.517398+0 8.797014-6 1.451322+0 8.817324-6 1.414487+0 8.857466-6 1.420573+0 8.947048-6 1.663139+0 8.990984-6 1.705563+0 9.076455-6 1.632192+0 9.537536-6 1.723989+0 1.071776-5 2.107070+0 1.200425-5 2.652610+0 1.380384-5 3.629512+0 1.733340-5 5.945009+0 2.072324-5 8.100563+0 2.304000-5 9.132052+0 2.552613-5 9.647171+0 2.818383-5 9.578387+0 3.236663-5 8.686798+0 3.893409-5 6.814388+0 3.912575-5 7.903600+0 3.922158-5 8.820899+0 3.931741-5 1.022544+1 3.941324-5 1.215574+1 3.970074-5 1.937302+1 3.982053-5 2.116016+1 3.990777-5 2.151764+1 3.995818-5 2.143902+1 3.998823-5 2.284335+1 4.012563-5 2.738110+1 4.016286-5 2.880510+1 4.025506-5 3.463699+1 4.035340-5 4.530908+1 4.045294-5 6.131172+1 4.075072-5 1.234794+2 4.086957-5 1.381262+2 4.094881-5 1.414050+2 4.105025-5 1.348070+2 4.115165-5 1.186943+2 4.131857-5 8.128895+1 4.142901-5 5.669079+1 4.152735-5 3.875991+1 4.162569-5 2.555695+1 4.172403-5 1.678879+1 4.192071-5 6.048948+0 4.330159-5 5.724463+0 4.351475-5 6.690749+0 4.363465-5 7.660803+0 4.374857-5 9.089515+0 4.386196-5 1.102077+1 4.416168-5 1.698159+1 4.426748-5 1.836754+1 4.437406-5 1.883423+1 4.449313-5 1.808900+1 4.460850-5 1.633541+1 4.491293-5 1.014041+1 4.500689-5 8.883222+0 4.513402-5 7.815819+0 4.524457-5 7.593268+0 4.535512-5 7.962191+0 4.544133-5 8.548077+0 4.579731-5 1.352286+1 4.592167-5 1.464222+1 4.602531-5 1.501824+1 4.614277-5 1.464268+1 4.628871-5 1.324682+1 4.657114-5 9.966213+0 4.668686-5 9.094663+0 4.683361-5 8.540641+0 4.719007-5 7.962248+0 4.770177-5 7.170144+0 4.854048-5 7.327507+0 5.029798-5 7.142015+0 5.055597-5 1.334481+1 5.067712-5 1.820980+1 5.080093-5 2.567308+1 5.092760-5 3.610823+1 5.123650-5 6.680351+1 5.132370-5 7.457344+1 5.145198-5 8.157219+1 5.156780-5 8.306024+1 5.169250-5 7.878549+1 5.184524-5 6.680871+1 5.216452-5 3.483786+1 5.228542-5 2.507048+1 5.240509-5 1.789375+1 5.252642-5 1.302318+1 5.277402-5 6.929352+0 5.483091-5 6.749870+0 5.761798-5 6.322705+0 5.821032-5 6.569926+0 5.886376-5 6.977748+0 6.041267-5 7.224200+0 6.197058-5 7.067937+0 7.483300-5 5.136488+0 8.102231-5 4.508544+0 8.623761-5 4.241970+0 8.802688-5 4.425086+0 8.943698-5 4.234099+0 9.716280-5 4.349981+0 1.057333-4 4.855727+0 1.139180-4 5.649105+0 1.260000-4 7.249755+0 1.765000-4 1.522276+1 2.000000-4 1.832367+1 2.330000-4 2.140333+1 2.570021-4 2.295005+1 2.621579-4 2.413189+1 2.706053-4 2.445700+1 2.757139-4 2.537888+1 4.161645-4 2.541168+1 4.265817-4 2.555028+1 4.346283-4 2.705063+1 4.413990-4 2.631490+1 4.786099-4 2.613565+1 5.527134-4 2.516582+1 6.062857-4 2.419227+1 6.200845-4 2.435103+1 8.963962-4 1.877764+1 1.100430-3 1.562909+1 1.338328-3 1.286240+1 1.642952-3 1.030814+1 1.849635-3 9.062780+0 1.861221-3 9.349873+0 1.868594-3 1.002539+1 1.875382-3 1.127297+1 1.882301-3 1.329864+1 1.904180-3 2.181464+1 1.913006-3 2.400820+1 1.927525-3 2.540764+1 1.949549-3 2.665306+1 1.980533-3 3.030009+1 2.007504-3 3.107019+1 2.148751-3 3.083522+1 2.311029-3 2.939590+1 2.339174-3 3.085112+1 2.366447-3 3.241375+1 2.634917-3 2.839508+1 2.688892-3 2.896813+1 2.879920-3 2.659467+1 2.970648-3 2.642188+1 3.497340-3 2.112285+1 4.048030-3 1.716536+1 4.617444-3 1.414445+1 5.308844-3 1.148720+1 5.925403-3 9.717472+0 6.741399-3 7.966202+0 7.671458-3 6.509608+0 8.607518-3 5.426705+0 9.880955-3 4.352896+0 1.028073-2 4.097299+0 1.035254-2 4.240193+0 1.039618-2 4.569206+0 1.042863-2 5.022279+0 1.047108-2 5.912905+0 1.056925-2 8.479704+0 1.062100-2 9.385417+0 1.067989-2 9.824423+0 1.082293-2 9.802853+0 1.175459-2 8.602740+0 1.185402-2 8.831385+0 1.194606-2 9.627859+0 1.206087-2 1.076744+1 1.217517-2 1.110072+1 1.239355-2 1.109988+1 1.264827-2 1.200669+1 1.524307-2 9.083051+0 1.747833-2 7.291243+0 1.976499-2 5.969115+0 2.263015-2 4.771743+0 2.585235-2 3.820054+0 2.911901-2 3.121554+0 3.277531-2 2.550735+0 3.710010-2 2.060010+0 4.191252-2 1.666416+0 4.698988-2 1.364493+0 5.293586-2 1.105966+0 5.900930-2 9.133403-1 6.649779-2 7.383095-1 7.019525-2 6.774830-1 7.054296-2 7.019372-1 7.076825-2 7.526593-1 7.096919-2 8.411828-1 7.117748-2 9.935329-1 7.140682-2 1.244102+0 7.162251-2 1.551868+0 7.218076-2 2.437505+0 7.251948-2 2.824376+0 7.292314-2 3.050157+0 7.349193-2 3.109935+0 8.592119-2 2.434034+0 9.679218-2 2.006234+0 1.092000-1 1.642570+0 1.236768-1 1.333516+0 1.410304-1 1.068098+0 1.573117-1 8.869650-1 1.765184-1 7.293086-1 1.975904-1 6.021416-1 2.229565-1 4.907152-1 2.504039-1 4.040905-1 2.808376-1 3.342883-1 3.149221-1 2.777173-1 3.551286-1 2.297183-1 4.027170-1 1.893474-1 4.577464-1 1.567079-1 5.208280-1 1.305074-1 5.971201-1 1.085434-1 6.819460-1 9.165733-2 7.719651-1 7.898077-2 8.918925-1 6.713117-2 1.070165+0 5.537152-2 1.228714+0 4.743509-2 1.412970+0 4.056807-2 1.619761+0 3.481179-2 1.880664+0 2.946428-2 2.235892+0 2.426373-2 2.567148+0 2.078599-2 2.947480+0 1.780673-2 3.384160+0 1.525448-2 3.885536+0 1.306805-2 4.461192+0 1.119500-2 5.122134+0 9.590415-3 5.902328+0 8.184035-3 6.752287+0 7.038240-3 7.752663+0 6.029445-3 8.901248+0 5.165242-3 9.760024+0 4.659074-3 1.000000+1 9.627780-3 1 75000 7 0 1.862000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-7.488627+1 3.004191-6-7.323110+1 3.767369-6-6.974855+1 4.017010-6-6.540548+1 4.113358-6-6.063201+1 4.155621-6-5.566836+1 4.171738-6-5.135801+1 4.214476-6-3.880330+1 4.224740-6-3.753167+1 4.235966-6-3.897474+1 4.244305-6-4.253885+1 4.252644-6-4.828254+1 4.262587-6-5.748554+1 4.279371-6-7.510295+1 4.286275-6-6.774504+1 4.297968-6-5.823282+1 4.309164-6-5.290816+1 4.321683-6-5.139068+1 4.334753-6-5.374448+1 4.388309-6-7.015791+1 4.424205-6-7.509756+1 4.548227-6-6.142561+1 4.585480-6-5.448105+1 4.605836-6-4.810666+1 4.614231-6-4.342617+1 4.636422-6-3.195028+1 4.649197-6-2.436606+1 4.660553-6-1.856449+1 4.663037-6-1.762211+1 4.671494-6-1.535330+1 4.675026-6-1.516161+1 4.680072-6-1.600325+1 4.683317-6-1.710165+1 4.688811-6-1.993451+1 4.692502-6-2.247132+1 4.697776-6-2.711755+1 4.702651-6-3.282594+1 4.714791-6-5.253479+1 4.726506-6-7.526077+1 4.741099-6-4.576857+1 4.751377-6-2.906032+1 4.754612-6-2.484225+1 4.759236-6-2.000369+1 4.765180-6-1.515362+1 4.769603-6-1.245222+1 4.771409-6-1.159840+1 4.774569-6-1.042590+1 4.778717-6-9.531147+0 4.781384-6-9.399867+0 4.782717-6-9.508113+0 4.792567-6-1.204701+1 4.795406-6-1.339837+1 4.796826-6-1.422814+1 4.805520-6-1.840580+1 4.822022-6-2.815092+1 4.837992-6-3.587961+1 4.845334-6-4.061147+1 4.862264-6-4.676760+1 4.894924-6-5.369894+1 4.960503-6-6.170930+1 5.074259-6-7.431328+1 5.101940-6-7.228596+1 5.158954-6-5.723426+1 5.179365-6-5.502879+1 5.207093-6-5.622381+1 5.281889-6-6.314616+1 5.403653-6-6.716750+1 5.585236-6-7.237960+1 5.643243-6-7.558434+1 5.687561-6-7.460433+1 5.757106-6-6.344150+1 5.788886-6-6.227574+1 5.910530-6-6.783225+1 6.145253-6-7.113756+1 6.263922-6-7.033138+1 6.529837-6-7.509561+1 6.590598-6-7.178349+1 6.655692-6-6.637717+1 6.715387-6-6.708730+1 6.910787-6-7.218107+1 7.011262-6-7.126820+1 7.108127-6-7.098570+1 7.216770-6-7.181164+1 7.332659-6-7.026271+1 7.539766-6-7.269677+1 7.755426-6-7.197136+1 7.909260-6-7.290486+1 8.085631-6-7.135515+1 8.674627-6-7.248240+1 1.708756-5-7.474891+1 3.073662-5-6.909992+1 3.578629-5-6.267063+1 3.748666-5-5.764074+1 3.836175-5-5.238808+1 3.881277-5-4.743507+1 3.922158-5-3.908046+1 3.950907-5-3.252823+1 3.970074-5-3.007659+1 3.985646-5-2.826559+1 3.991930-5-2.666808+1 3.995389-5-2.463110+1 3.998823-5-2.260036+1 4.010069-5-1.802315+1 4.013810-5-1.596332+1 4.016286-5-1.401355+1 4.023815-5-8.899094+0 4.025506-5-7.229095+0 4.034725-5-6.719585-1 4.035340-5-7.260322-2 4.036492-5 7.251998-1 4.038509-5 1.782415+0 4.044559-5 4.274489+0 4.045294-5 4.671686+0 4.046673-5 5.012163+0 4.049085-5 5.080770+0 4.050894-5 4.820508+0 4.053608-5 4.021661+0 4.056322-5 2.834024+0 4.058539-5 1.521572+0 4.060480-5 3.858361-2 4.062177-5-1.487763+0 4.063663-5-2.999909+0 4.064963-5-4.462807+0 4.067238-5-7.357588+0 4.068944-5-9.837438+0 4.071183-5-1.357556+1 4.073342-5-1.793363+1 4.075072-5-2.237401+1 4.082259-5-3.868278+1 4.085473-5-4.778087+1 4.092534-5-6.764200+1 4.096886-5-5.359406+1 4.103382-5-3.522442+1 4.105025-5-2.999301+1 4.106988-5-2.487199+1 4.113398-5-9.759048+0 4.114013-5-8.187694+0 4.115165-5-5.682094+0 4.116174-5-3.692017+0 4.117938-5-5.101293-1 4.120585-5 3.739576+0 4.123232-5 7.638976+0 4.124462-5 9.329297+0 4.126613-5 1.177546+1 4.128226-5 1.331568+1 4.131857-5 1.593013+1 4.137369-5 1.784979+1 4.141518-5 1.802356+1 4.147818-5 1.586838+1 4.151506-5 1.405104+1 4.153964-5 1.193481+1 4.160418-5 7.387714+0 4.161493-5 6.478057+0 4.162569-5 5.342770+0 4.172403-5-3.244731+0 4.173632-5-4.472315+0 4.175784-5-6.225994+0 4.187154-5-1.432180+1 4.191457-5-1.804326+1 4.193746-5-2.063658+1 4.199807-5-2.500449+1 4.209172-5-2.981478+1 4.222833-5-3.493983+1 4.248993-5-4.170561+1 4.293218-5-4.917928+1 4.386196-5-6.208634+1 4.413312-5-6.140663+1 4.464038-5-5.208504+1 4.487561-5-5.196125+1 4.553910-5-6.137063+1 4.579731-5-6.128124+1 4.631586-5-5.561100+1 4.665793-5-5.631538+1 4.934386-5-6.903173+1 4.957705-5-7.021217+1 5.006678-5-6.271650+1 5.029012-5-5.620316+1 5.081543-5-3.625155+1 5.093966-5-3.383258+1 5.102085-5-3.437820+1 5.110864-5-3.701558+1 5.120188-5-4.220021+1 5.130044-5-5.005938+1 5.143252-5-6.556976+1 5.145516-5-6.869740+1 5.156035-5-5.455001+1 5.172261-5-3.372880+1 5.182365-5-2.357726+1 5.188486-5-1.891685+1 5.194948-5-1.537460+1 5.199988-5-1.336501+1 5.204104-5-1.217374+1 5.209507-5-1.123576+1 5.214716-5-1.112679+1 5.225519-5-1.300672+1 5.239200-5-1.747843+1 5.259416-5-2.521873+1 5.276532-5-3.093346+1 5.283277-5-3.372416+1 5.300420-5-3.774618+1 5.332520-5-4.221168+1 5.388663-5-4.653685+1 5.519570-5-5.111132+1 5.865654-5-5.599833+1 1.260000-4-6.486243+1 1.650144-4-6.528119+1 2.621579-4-5.754115+1 3.114618-4-5.147613+1 3.976829-4-4.513641+1 4.355673-4-4.368258+1 4.480528-4-4.313079+1 4.786099-4-4.049814+1 5.795617-4-3.545081+1 7.372800-4-3.033565+1 8.963962-4-2.764034+1 1.100430-3-2.625738+1 1.338328-3-2.652507+1 1.539100-3-2.829838+1 1.680617-3-3.102302+1 1.764423-3-3.399586+1 1.818384-3-3.737236+1 1.849635-3-4.100654+1 1.875382-3-4.710118+1 1.890495-3-4.995604+1 1.904180-3-4.899948+1 1.931898-3-4.393198+1 1.967930-3-4.180469+1 2.007504-3-3.664934+1 2.060927-3-3.265373+1 2.148751-3-2.826485+1 2.260624-3-2.475913+1 2.311029-3-2.411709+1 2.359523-3-2.470994+1 2.375068-3-2.399302+1 2.413138-3-2.137394+1 2.473350-3-1.905892+1 2.563349-3-1.704235+1 2.634917-3-1.627918+1 2.677904-3-1.616244+1 2.751257-3-1.425068+1 2.836513-3-1.302094+1 2.911790-3-1.258651+1 2.995085-3-1.099769+1 3.123831-3-9.478171+0 3.328751-3-7.843064+0 3.572878-3-6.549602+0 3.845918-3-5.571104+0 4.147200-3-4.855636+0 4.485409-3-4.377718+0 4.933286-3-4.053346+0 5.516890-3-3.932034+0 6.201721-3-4.064416+0 7.053399-3-4.453720+0 8.005684-3-5.131490+0 8.877792-3-6.040271+0 9.488280-3-7.010075+0 9.880955-3-7.985269+0 1.013736-2-9.017693+0 1.028073-2-9.999678+0 1.038219-2-1.125354+1 1.049257-2-1.296078+1 1.055489-2-1.314313+1 1.063202-2-1.222410+1 1.075412-2-1.035194+1 1.087035-2-9.365439+0 1.106486-2-8.506328+0 1.131983-2-7.985749+0 1.157910-2-7.912055+0 1.175459-2-8.273685+0 1.194606-2-9.312089+0 1.203246-2-9.262298+0 1.221512-2-8.027702+0 1.234869-2-7.645294+0 1.251773-2-7.421545+0 1.276475-2-5.991945+0 1.298487-2-5.141026+0 1.330364-2-4.320101+0 1.371173-2-3.564737+0 1.416609-2-2.937558+0 1.475454-2-2.343440+0 1.524307-2-1.967477+0 1.588774-2-1.578376+0 1.646947-2-1.308485+0 1.712055-2-1.075287+0 1.787812-2-8.743158-1 1.830473-2-7.829647-1 1.894865-2-6.749013-1 1.976499-2-5.713256-1 2.074108-2-4.829082-1 2.150305-2-4.394405-1 2.263015-2-4.027340-1 2.340083-2-3.906871-1 2.473687-2-3.901986-1 2.647069-2-4.134548-1 2.911901-2-4.852186-1 3.557921-2-7.186493-1 5.293586-2-1.402053+0 5.900930-2-1.701539+0 6.350509-2-2.013157+0 6.649779-2-2.332653+0 6.846276-2-2.671464+0 6.971015-2-3.034618+0 7.045250-2-3.423819+0 7.155104-2-4.375772+0 7.194825-2-4.440315+0 7.235568-2-4.178925+0 7.314033-2-3.389052+0 7.372292-2-2.986716+0 7.455655-2-2.622833+0 7.583734-2-2.259692+0 7.765592-2-1.922712+0 8.014887-2-1.607091+0 8.266774-2-1.380523+0 8.592119-2-1.173423+0 8.975458-2-1.002089+0 9.491384-2-8.402870-1 1.018518-1-6.976648-1 1.092000-1-6.064870-1 1.148317-1-5.616539-1 1.236768-1-5.185801-1 1.371967-1-4.893300-1 1.573117-1-4.878545-1 2.925649-1-6.292448-1 4.193161-1-7.027848-1 6.255327-1-7.537638-1 1.120601+0-7.857849-1 3.384160+0-7.999186-1 1.000000+1-8.018863-1 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 6.643589-3 1.097373-6 9.725748-3 1.206601-6 1.440616-2 1.250608-6 1.678219-2 1.329992-6 2.191206-2 1.414416-6 2.874787-2 1.649669-6 5.743388-2 1.754384-6 7.629461-2 1.865747-6 1.021342-1 1.924051-6 1.185290-1 2.048000-6 1.613358-1 2.110127-6 1.870892-1 2.176068-6 2.184805-1 2.244070-6 2.558867-1 2.377500-6 3.462636-1 2.441104-6 3.989352-1 2.502721-6 4.573046-1 2.562412-6 5.216595-1 2.620237-6 5.921233-1 2.676256-6 6.693128-1 2.730524-6 7.536824-1 2.783096-6 8.456355-1 2.883363-6 1.053626+0 2.977462-6 1.294957+0 3.022317-6 1.430010+0 3.107866-6 1.729767+0 3.148647-6 1.896512+0 3.200000-6 2.132390+0 3.263499-6 2.467503+0 3.335332-6 2.918030+0 3.402676-6 3.425637+0 3.465811-6 3.995461+0 3.525000-6 4.632061+0 3.580490-6 5.339699+0 3.632511-6 6.122210+0 3.681281-6 6.984734+0 3.727003-6 7.932917+0 3.769868-6 8.972024+0 3.810053-6 1.010709+1 3.847727-6 1.134306+1 3.883046-6 1.268508+1 3.916158-6 1.413869+1 3.947200-6 1.570938+1 3.976302-6 1.740246+1 4.003585-6 1.922307+1 4.029163-6 2.117643+1 4.053143-6 2.326797+1 4.075623-6 2.550336+1 4.096699-6 2.788845+1 4.116458-6 3.042913+1 4.134981-6 3.313129+1 4.152347-6 3.600078+1 4.168627-6 3.904351+1 4.183890-6 4.226551+1 4.198199-6 4.567306+1 4.211614-6 4.927282+1 4.224190-6 5.307177+1 4.235980-6 5.707724+1 4.247034-6 6.129677+1 4.257396-6 6.573839+1 4.267111-6 7.041110+1 4.276219-6 7.532559+1 4.284757-6 8.049504+1 4.300767-6 9.207335+1 4.314775-6 1.049942+2 4.327032-6 1.194454+2 4.337758-6 1.355480+2 4.347142-6 1.532862+2 4.355354-6 1.724779+2 4.362539-6 1.927964+2 4.368825-6 2.138220+2 4.374326-6 2.351044+2 4.379140-6 2.562142+2 4.387037-6 2.964985+2 4.398323-6 3.679165+2 4.414785-6 5.051502+2 4.423695-6 5.963789+2 4.429126-6 6.574451+2 4.434557-6 7.221652+2 4.445419-6 8.600324+2 4.446776-6 8.778069+2 4.456280-6 1.003204+3 4.460014-6 1.052036+3 4.467142-6 1.142429+3 4.470876-6 1.187429+3 4.474440-6 1.228317+3 4.478003-6 1.266776+3 4.482755-6 1.313589+3 4.487338-6 1.353132+3 4.491581-6 1.384193+3 4.495144-6 1.405764+3 4.500406-6 1.429478+3 4.506770-6 1.444379+3 4.511585-6 1.445203+3 4.518213-6 1.431414+3 4.523561-6 1.407888+3 4.528614-6 1.375941+3 4.533840-6 1.333623+3 4.536474-6 1.308991+3 4.544170-6 1.225856+3 4.548370-6 1.174472+3 4.551911-6 1.128489+3 4.556581-6 1.064836+3 4.560219-6 1.013443+3 4.564897-6 9.458372+2 4.569648-6 8.762801+2 4.574613-6 8.036664+2 4.581189-6 7.091570+2 4.585941-6 6.430707+2 4.587299-6 6.246341+2 4.594936-6 5.253942+2 4.597481-6 4.942028+2 4.608343-6 3.732116+2 4.612522-6 3.321836+2 4.615863-6 3.016466+2 4.619205-6 2.731167+2 4.621920-6 2.513935+2 4.625484-6 2.248377+2 4.630837-6 1.889999+2 4.635925-6 1.592236+2 4.641908-6 1.292017+2 4.647752-6 1.046484+2 4.655334-6 7.904768+1 4.666268-6 5.262973+1 4.671546-6 4.356401+1 4.674996-6 3.873113+1 4.678392-6 3.472962+1 4.680070-6 3.300789+1 4.681736-6 3.145622+1 4.683388-6 3.006354+1 4.685840-6 2.825107+1 4.687456-6 2.721390+1 4.790333-6 9.076547+1 4.800000-6 1.116785+2 4.808442-6 1.349471+2 4.813740-6 1.525655+2 4.818707-6 1.716246+2 4.823363-6 1.920767+2 4.832094-6 2.384623+2 4.839734-6 2.894864+2 4.852267-6 4.002859+2 4.872210-6 6.711506+2 4.882874-6 8.784052+2 4.891030-6 1.072182+3 4.897844-6 1.259573+3 4.905254-6 1.490815+3 4.911276-6 1.700045+3 4.917298-6 1.927987+3 4.929342-6 2.435524+3 4.930847-6 2.503259+3 4.941386-6 2.997894+3 4.945526-6 3.199427+3 4.953430-6 3.588740+3 4.959546-6 3.888438+3 4.965474-6 4.171972+3 4.971590-6 4.451732+3 4.977518-6 4.705037+3 4.982787-6 4.911177+3 4.987657-6 5.082606+3 4.990315-6 5.167513+3 4.997372-6 5.359906+3 5.002883-6 5.473825+3 5.009303-6 5.563206+3 5.015310-6 5.602755+3 5.019705-6 5.604225+3 5.025694-6 5.569066+3 5.029887-6 5.519512+3 5.038491-6 5.356951+3 5.043298-6 5.233162+3 5.046540-6 5.137618+3 5.051288-6 4.981787+3 5.055898-6 4.814326+3 5.061826-6 4.579370+3 5.067095-6 4.355700+3 5.072176-6 4.130265+3 5.079892-6 3.776675+3 5.085914-6 3.497092+3 5.092689-6 3.184848+3 5.097958-6 2.947104+3 5.110002-6 2.432754+3 5.118094-6 2.117409+3 5.122046-6 1.973674+3 5.131079-6 1.672106+3 5.141285-6 1.377407+3 5.165941-6 8.542638+2 5.177722-6 6.841120+2 5.183475-6 6.160274+2 5.189139-6 5.572813+2 5.194713-6 5.065685+2 5.200201-6 4.627343+2 5.211004-6 3.913060+2 5.221470-6 3.371877+2 5.231609-6 2.955138+2 5.241431-6 2.628161+2 5.250946-6 2.366541+2 5.260164-6 2.153193+2 5.269094-6 1.976128+2 5.277744-6 1.826864+2 5.294505-6 1.585699+2 5.310218-6 1.402823+2 5.324949-6 1.259501+2 5.338759-6 1.144357+2 5.351707-6 1.050035+2 5.363845-6 9.715453+1 5.386603-6 8.453709+1 5.406517-6 7.528974+1 5.423942-6 6.828497+1 5.439188-6 6.284307+1 5.465870-6 5.458219+1 5.485881-6 4.924948+1 5.600517-6 2.783936+1 5.627818-6 2.425125+1 5.655119-6 2.104155+1 5.682420-6 1.814648+1 5.696071-6 1.680082+1 5.709721-6 1.551594+1 5.723372-6 1.428727+1 5.737022-6 1.311082+1 5.750673-6 1.198312+1 5.764323-6 1.090126+1 5.777974-6 9.862905+0 5.791625-6 8.866348+0 5.805275-6 7.910633+0 5.818926-6 6.995704+0 5.837732-6 5.804216+0 5.851838-6 4.967223+0 5.862416-6 4.375123+0 5.878285-6 3.553673+0 5.894153-6 2.831221+0 5.908661-6 2.287085+0 5.915914-6 2.070509+0 5.923168-6 1.901442+0 5.930422-6 1.790703+0 5.937676-6 1.752185+0 5.944930-6 1.803553+0 5.948557-6 1.869681+0 5.952184-6 1.967000+0 5.955811-6 2.099119+0 5.961251-6 2.371379+0 5.963971-6 2.544931+0 5.966691-6 2.746180+0 5.970318-6 3.061487+0 5.973039-6 3.336315+0 5.976609-6 3.751656+0 5.981199-6 4.386139+0 5.990580-6 6.092292+0 6.001710-6 8.992059+0 6.007823-6 1.107634+1 6.013980-6 1.358806+1 6.020100-6 1.654286+1 6.026513-6 2.018107+1 6.030961-6 2.305919+1 6.037306-6 2.770477+1 6.041114-6 3.081347+1 6.047603-6 3.669602+1 6.053861-6 4.309207+1 6.058612-6 4.843552+1 6.067738-6 5.988991+1 6.073445-6 6.783949+1 6.076487-6 7.231584+1 6.084472-6 8.481456+1 6.088278-6 9.112663+1 6.091320-6 9.632070+1 6.101253-6 1.140682+2 6.105749-6 1.224143+2 6.112525-6 1.352193+2 6.118541-6 1.466899+2 6.124826-6 1.586177+2 6.130652-6 1.694804+2 6.136737-6 1.804763+2 6.143213-6 1.916093+2 6.149674-6 2.019511+2 6.156047-6 2.112343+2 6.162784-6 2.198826+2 6.169153-6 2.268179+2 6.176182-6 2.329374+2 6.181284-6 2.363090+2 6.187403-6 2.391187+2 6.192488-6 2.404122+2 6.195435-6 2.407277+2 6.205203-6 2.395256+2 6.212264-6 2.365788+2 6.219109-6 2.321686+2 6.226641-6 2.257009+2 6.233942-6 2.180048+2 6.240431-6 2.101543+2 6.246689-6 2.018362+2 6.256191-6 1.881265+2 6.263608-6 1.768044+2 6.275196-6 1.585990+2 6.278440-6 1.534796+2 6.293273-6 1.305343+2 6.301617-6 1.182608+2 6.308106-6 1.091639+2 6.319231-6 9.464526+1 6.334055-6 7.763561+1 6.366442-6 4.984383+1 6.375085-6 4.437671+1 6.383457-6 3.973822+1 6.391568-6 3.579522+1 6.407283-6 2.946368+1 6.422015-6 2.478705+1 6.435827-6 2.124226+1 6.448775-6 1.848005+1 6.494297-6 1.150089+1 6.531473-6 7.621056+0 6.559355-6 5.371524+0 6.580266-6 4.007705+0 6.595950-6 3.177489+0 6.607713-6 2.679639+0 6.616535-6 2.388892+0 6.623151-6 2.225011+0 6.628114-6 2.136824+0 6.635557-6 2.068312+0 6.639279-6 2.066370+0 6.641140-6 2.074311+0 6.643001-6 2.088547+0 6.659352-6 2.532664+0 6.663440-6 2.750876+0 6.666505-6 2.948380+0 6.668805-6 3.117038+0 6.670529-6 3.255750+0 6.673116-6 3.484510+0 6.676725-6 3.847798+0 6.683251-6 4.649115+0 6.692054-6 6.069663+0 6.708405-6 1.001252+1 6.715558-6 1.239774+1 6.723031-6 1.540627+1 6.730483-6 1.899998+1 6.737846-6 2.320211+1 6.745168-6 2.808865+1 6.754620-6 3.554331+1 6.761231-6 4.158576+1 6.768763-6 4.935326+1 6.771274-6 5.215828+1 6.789228-6 7.545439+1 6.792216-6 7.988357+1 6.806920-6 1.038694+2 6.812400-6 1.136731+2 6.822861-6 1.334942+2 6.829309-6 1.463028+2 6.834945-6 1.577721+2 6.841671-6 1.716723+2 6.849040-6 1.870014+2 6.856742-6 2.029093+2 6.863397-6 2.163665+2 6.870480-6 2.301893+2 6.872893-6 2.347454+2 6.882835-6 2.524675+2 6.890526-6 2.647675+2 6.897046-6 2.740445+2 6.904952-6 2.836906+2 6.922780-6 2.981626+2 6.928978-6 3.006575+2 6.938889-6 3.018538+2 6.945287-6 3.008217+2 6.950403-6 2.990082+2 6.957597-6 2.950346+2 6.964904-6 2.893982+2 6.973110-6 2.813208+2 6.979964-6 2.733171+2 6.988776-6 2.615964+2 6.997090-6 2.493376+2 7.005405-6 2.362027+2 7.019290-6 2.130696+2 7.021273-6 2.097006+2 7.036365-6 1.840911+2 7.042820-6 1.733462+2 7.055292-6 1.533458+2 7.069534-6 1.321960+2 7.088550-6 1.074255+2 7.121845-6 7.421732+1 7.139662-6 6.126470+1 7.148310-6 5.598985+1 7.165607-6 4.709965+1 7.182903-6 4.001794+1 7.200200-6 3.432537+1 7.218213-6 2.952378+1 7.227096-6 2.749750+1 7.235980-6 2.566540+1 7.253746-6 2.251952+1 7.271513-6 1.999398+1 7.289280-6 1.803596+1 7.298163-6 1.725789+1 7.307046-6 1.660744+1 7.310987-6 1.635832+1 7.317884-6 1.597848+1 7.328228-6 1.553603+1 7.338573-6 1.523450+1 7.344568-6 1.511832+1 7.353560-6 1.501600+1 7.362553-6 1.498966+1 7.376111-6 1.506719+1 7.380630-6 1.511841+1 7.398708-6 1.541409+1 7.422489-6 1.593831+1 7.456803-6 1.683853+1 7.490328-6 1.794358+1 7.516211-6 1.901422+1 7.543327-6 2.025284+1 7.556420-6 2.082142+1 7.574572-6 2.148134+1 7.592725-6 2.189292+1 7.597263-6 2.194561+1 7.610877-6 2.196472+1 7.616536-6 2.190777+1 7.626439-6 2.171301+1 7.633866-6 2.148734+1 7.645007-6 2.102439+1 7.656148-6 2.042172+1 7.665334-6 1.983092+1 7.676845-6 1.898967+1 7.680682-6 1.868838+1 7.698871-6 1.715946+1 7.711487-6 1.604381+1 7.724979-6 1.484835+1 7.753775-6 1.246123+1 7.776726-6 1.085904+1 7.793257-6 9.909915+0 7.801146-6 9.518205+0 7.812980-6 9.001484+0 7.824814-6 8.563899+0 7.836075-6 8.213913+0 7.845719-6 7.960495+0 7.855362-6 7.745993+0 7.871781-6 7.463771+0 7.883743-6 7.322815+0 7.890921-6 7.265802+0 7.913225-6 7.241695+0 7.922372-6 7.311536+0 7.931520-6 7.437249+0 7.944442-6 7.723482+0 7.948749-6 7.850013+0 7.968266-6 8.639000+0 7.974975-6 8.996251+0 7.989955-6 9.956289+0 8.003829-6 1.103723+1 8.033839-6 1.387570+1 8.048367-6 1.538820+1 8.054728-6 1.605430+1 8.065365-6 1.715013+1 8.070212-6 1.763520+1 8.085348-6 1.905517+1 8.089310-6 1.939635+1 8.106790-6 2.070475+1 8.114797-6 2.118068+1 8.127411-6 2.175364+1 8.137974-6 2.205874+1 8.143818-6 2.215811+1 8.155102-6 2.221199+1 8.161890-6 2.215959+1 8.173630-6 2.192827+1 8.184688-6 2.156219+1 8.197601-6 2.097920+1 8.203532-6 2.066412+1 8.222231-6 1.952372+1 8.241423-6 1.820731+1 8.259970-6 1.689053+1 8.317849-6 1.318284+1 8.336721-6 1.221023+1 8.348843-6 1.165015+1 8.364698-6 1.098725+1 8.379493-6 1.043125+1 8.402497-6 9.663840+0 8.509296-6 6.927697+0 8.522930-6 6.653442+0 8.538379-6 6.375364+0 8.551323-6 6.175563+0 8.565620-6 5.997318+0 8.584831-6 5.840344+0 8.599362-6 5.792419+0 8.607042-6 5.793290+0 8.617337-6 5.823344+0 8.627632-6 5.886080+0 8.634332-6 5.943855+0 8.646057-6 6.074951+0 8.654851-6 6.195891+0 8.674637-6 6.523654+0 8.704920-6 7.095911+0 8.711542-6 7.218470+0 8.732520-6 7.565650+0 8.753498-6 7.810837+0 8.758742-6 7.851221+0 8.774475-6 7.915009+0 8.779720-6 7.916281+0 8.788897-6 7.893943+0 8.802664-6 7.802556+0 8.810489-6 7.720953+0 8.816431-6 7.645552+0 8.826919-6 7.486440+0 8.837408-6 7.298065+0 8.848034-6 7.082801+0 8.858659-6 6.848958+0 8.880356-6 6.340482+0 8.923752-6 5.382891+0 8.942297-6 5.068787+0 8.949053-6 4.975260+0 8.969322-6 4.771747+0 8.974841-6 4.737814+0 8.983120-6 4.705136+0 8.991398-6 4.694913+0 9.025419-6 4.897972+0 9.057629-6 5.459149+0 9.064420-6 5.621972+0 9.084794-6 6.196191+0 9.132597-6 7.936172+0 9.149702-6 8.628033+0 9.155404-6 8.858753+0 9.169485-6 9.418675+0 9.174179-6 9.600055+0 9.189975-6 1.018027+1 9.195240-6 1.036072+1 9.217498-6 1.103005+1 9.224166-6 1.119659+1 9.242787-6 1.156715+1 9.248331-6 1.164923+1 9.259161-6 1.177115+1 9.268363-6 1.183477+1 9.283564-6 1.186114+1 9.293908-6 1.182552+1 9.311345-6 1.167580+1 9.328364-6 1.143481+1 9.351941-6 1.097912+1 9.377470-6 1.037687+1 9.399786-6 9.800666+0 9.423500-6 9.173626+0 9.471941-6 7.947772+0 9.522712-6 6.835606+0 9.559296-6 6.161442+0 9.593773-6 5.621755+0 9.625129-6 5.210741+0 9.663623-6 4.815784+0 9.684159-6 4.659635+0 9.701688-6 4.559821+0 9.717088-6 4.499620+0 9.725897-6 4.477389+0 9.743758-6 4.460766+0 9.765749-6 4.494096+0 9.790341-6 4.600884+0 9.806107-6 4.704998+0 9.821872-6 4.832863+0 9.883898-6 5.452608+0 9.907490-6 5.672102+0 9.931290-6 5.845136+0 9.955090-6 5.950974+0 9.963680-6 5.970565+0 9.976565-6 5.980965+0 9.989450-6 5.969085+0 1.001139-5 5.901894+0 1.003334-5 5.786263+0 1.005029-5 5.673992+0 1.010915-5 5.250719+0 1.013309-5 5.109978+0 1.014666-5 5.045531+0 1.015896-5 4.997419+0 1.017742-5 4.943375+0 1.019588-5 4.909133+0 1.021632-5 4.889991+0 1.026240-5 4.888395+0 1.032474-5 4.891027+0 1.035516-5 4.874965+0 1.041433-5 4.816268+0 1.076701-5 4.428406+0 1.084253-5 4.370233+0 1.104511-5 4.283451+0 1.130532-5 4.222986+0 1.149600-5 4.212068+0 1.166138-5 4.233688+0 1.188818-5 4.304676+0 1.202714-5 4.366690+0 1.217479-5 4.457702+0 1.240160-5 4.646762+0 1.278915-5 5.062717+0 1.296203-5 5.291398+0 1.318881-5 5.652217+0 1.365195-5 6.534398+0 1.400393-5 7.332726+0 1.420120-5 7.840506+0 1.502506-5 1.035566+1 1.641569-5 1.622435+1 1.719088-5 2.042098+1 1.800000-5 2.551864+1 1.862087-5 2.990199+1 1.906044-5 3.326833+1 1.952731-5 3.701058+1 2.000000-5 4.102311+1 2.077614-5 4.796551+1 2.126008-5 5.249757+1 2.190000-5 5.865787+1 2.238721-5 6.343552+1 2.300000-5 6.947001+1 2.350000-5 7.438301+1 2.426610-5 8.179402+1 2.490567-5 8.778516+1 2.560000-5 9.398183+1 2.637762-5 1.004944+2 2.730000-5 1.072609+2 2.792456-5 1.110993+2 2.835141-5 1.134544+2 2.909072-5 1.168542+2 2.973801-5 1.190234+2 3.015945-5 1.200974+2 3.079382-5 1.211832+2 3.144384-5 1.216209+2 3.190378-5 1.214640+2 3.248105-5 1.207969+2 3.302307-5 1.198443+2 3.335133-5 1.197768+2 3.468979-5 1.261179+2 3.548520-5 1.318915+2 3.634743-5 1.399879+2 3.694515-5 1.473952+2 3.747159-5 1.557315+2 3.794237-5 1.650665+2 3.840000-5 1.763851+2 3.871980-5 1.861142+2 3.903943-5 1.979104+2 3.932035-5 2.105060+2 3.956725-5 2.238103+2 3.982127-5 2.403416+2 4.006150-5 2.595014+2 4.027965-5 2.810006+2 4.036567-5 2.909024+2 4.048988-5 3.070360+2 4.059855-5 3.233611+2 4.077685-5 3.561665+2 4.091336-5 3.881890+2 4.096910-5 4.034808+2 4.106665-5 4.339303+2 4.116576-5 4.703334+2 4.123583-5 4.997594+2 4.135929-5 5.595532+2 4.166470-5 7.499284+2 4.202100-5 1.044696+3 4.207190-5 1.097932+3 4.214825-5 1.188235+3 4.217370-5 1.221855+3 4.227550-5 1.379759+3 4.230095-5 1.426319+3 4.237730-5 1.587222+3 4.241229-5 1.673072+3 4.247910-5 1.861336+3 4.255496-5 2.118538+3 4.267081-5 2.610812+3 4.281964-5 3.425874+3 4.287200-5 3.757381+3 4.297767-5 4.479941+3 4.301625-5 4.756012+3 4.310263-5 5.382075+3 4.314160-5 5.662273+3 4.319171-5 6.014317+3 4.324340-5 6.361832+3 4.329351-5 6.677135+3 4.333804-5 6.934747+3 4.339128-5 7.208977+3 4.345691-5 7.488031+3 4.351082-5 7.662249+3 4.356966-5 7.790605+3 4.360617-5 7.836299+3 4.370661-5 7.824546+3 4.373524-5 7.784499+3 4.381461-5 7.592149+3 4.385642-5 7.445609+3 4.391280-5 7.203417+3 4.396599-5 6.933390+3 4.401754-5 6.639085+3 4.406336-5 6.355479+3 4.412227-5 5.967751+3 4.417464-5 5.608270+3 4.422701-5 5.241468+3 4.428592-5 4.827497+3 4.433174-5 4.509307+3 4.444957-5 3.729010+3 4.450684-5 3.378554+3 4.459358-5 2.893011+3 4.483685-5 1.849358+3 4.488779-5 1.688042+3 4.493794-5 1.546417+3 4.498730-5 1.422383+3 4.503589-5 1.313922+3 4.508372-5 1.219147+3 4.517716-5 1.063863+3 4.526841-5 9.437897+2 4.535681-5 8.508128+2 4.544244-5 7.777559+2 4.552540-5 7.193538+2 4.560577-5 6.718065+2 4.575905-5 5.991786+2 4.583211-5 5.707609+2 4.597368-5 5.238801+2 4.610639-5 4.873474+2 4.623082-5 4.579675+2 4.645682-5 4.134982+2 4.659967-5 3.898714+2 4.675156-5 3.676606+2 4.691976-5 3.458877+2 4.719571-5 3.151243+2 4.756007-5 2.813052+2 4.845230-5 2.171154+2 4.917536-5 1.734103+2 4.957849-5 1.506236+2 4.982255-5 1.386203+2 4.994458-5 1.335438+2 5.006661-5 1.292306+2 5.018864-5 1.257196+2 5.028127-5 1.235668+2 5.039713-5 1.214087+2 5.057979-5 1.188358+2 5.093689-5 1.143355+2 5.118195-5 1.108769+2 5.128679-5 1.096616+2 5.135121-5 1.091285+2 5.146291-5 1.087846+2 5.156350-5 1.093151+2 5.172181-5 1.122695+2 5.187233-5 1.180382+2 5.203391-5 1.280149+2 5.213397-5 1.363585+2 5.219786-5 1.425936+2 5.229500-5 1.534436+2 5.251872-5 1.843987+2 5.269449-5 2.133582+2 5.282376-5 2.360464+2 5.295125-5 2.586362+2 5.306880-5 2.791964+2 5.326624-5 3.140478+2 5.338090-5 3.368305+2 5.342726-5 3.473417+2 5.354937-5 3.811580+2 5.358877-5 3.946778+2 5.367869-5 4.321016+2 5.371939-5 4.526486+2 5.376655-5 4.797994+2 5.381264-5 5.102089+2 5.386210-5 5.475848+2 5.391909-5 5.973834+2 5.399430-5 6.753170+2 5.420972-5 9.863529+2 5.428524-5 1.128412+3 5.439803-5 1.371914+3 5.444036-5 1.472317+3 5.452947-5 1.697715+3 5.457230-5 1.811834+3 5.466409-5 2.065780+3 5.472817-5 2.247787+3 5.478218-5 2.402089+3 5.485550-5 2.609744+3 5.489928-5 2.731138+3 5.496016-5 2.894659+3 5.502495-5 3.059292+3 5.504675-5 3.112001+3 5.513354-5 3.305571+3 5.519860-5 3.430832+3 5.528014-5 3.559789+3 5.534031-5 3.632882+3 5.537912-5 3.669460+3 5.544859-5 3.713451+3 5.551821-5 3.729371+3 5.559753-5 3.713242+3 5.566219-5 3.673903+3 5.572487-5 3.614567+3 5.578286-5 3.542422+3 5.584799-5 3.443588+3 5.590238-5 3.348300+3 5.597232-5 3.211420+3 5.604711-5 3.050837+3 5.612191-5 2.879869+3 5.622098-5 2.644694+3 5.624872-5 2.578200+3 5.640138-5 2.218042+3 5.653980-5 1.914278+3 5.681144-5 1.423221+3 5.687936-5 1.324810+3 5.694727-5 1.235907+3 5.701252-5 1.159013+3 5.713179-5 1.038324+3 5.720829-5 9.730163+2 5.735538-5 8.697657+2 5.747988-5 8.010739+2 5.761568-5 7.411014+2 5.778870-5 6.813763+2 5.791152-5 6.472875+2 5.807318-5 6.100050+2 5.826908-5 5.732536+2 5.859378-5 5.259803+2 5.888437-5 4.931946+2 5.921110-5 4.633941+2 5.970330-5 4.277927+2 6.017017-5 4.008086+2 6.075756-5 3.732308+2 6.128975-5 3.528307+2 6.229578-5 3.208229+2 6.275070-5 3.084472+2 6.305464-5 3.017983+2 6.327022-5 2.981486+2 6.359503-5 2.943316+2 6.381709-5 2.926893+2 6.417192-5 2.911185+2 6.535418-5 2.890258+2 6.666204-5 2.869817+2 7.088058-5 2.734085+2 7.622895-5 2.554511+2 7.980844-5 2.425617+2 8.201250-5 2.343270+2 8.426069-5 2.257209+2 8.645633-5 2.170960+2 8.900000-5 2.070682+2 9.102810-5 1.985807+2 9.282351-5 1.907347+2 9.330743-5 1.892573+2 9.427866-5 1.877678+2 9.510262-5 1.865183+2 9.593927-5 1.838847+2 9.714866-5 1.791630+2 1.026242-4 1.613912+2 1.126856-4 1.344855+2 1.157815-4 1.278975+2 1.181255-4 1.234626+2 1.216186-4 1.177774+2 1.232193-4 1.155215+2 1.273503-4 1.109496+2 1.296000-4 1.091936+2 1.340386-4 1.071979+2 1.397160-4 1.076343+2 1.443402-4 1.104296+2 1.493363-4 1.159773+2 1.520000-4 1.198955+2 1.560968-4 1.272446+2 1.610224-4 1.378679+2 1.661767-4 1.508121+2 1.720000-4 1.673882+2 1.765000-4 1.815098+2 1.950000-4 2.498890+2 2.018366-4 2.786093+2 2.103165-4 3.158184+2 2.190000-4 3.550961+2 2.272690-4 3.929156+2 2.350000-4 4.280101+2 2.458109-4 4.754265+2 2.571199-4 5.219162+2 2.655326-4 5.529435+2 2.721195-4 5.732237+2 2.743866-4 5.835839+2 2.759420-4 5.944304+2 2.795391-4 6.269950+2 2.811268-4 6.393687+2 2.830104-4 6.500558+2 2.855175-4 6.601432+2 2.884646-4 6.739230+2 2.903994-4 6.879224+2 2.934346-4 7.156622+2 2.949242-4 7.280288+2 2.964894-4 7.382171+2 2.985667-4 7.477655+2 3.141380-4 8.039343+2 3.296704-4 8.576202+2 3.500344-4 9.229155+2 3.734310-4 9.912256+2 4.016661-4 1.063364+3 4.216965-4 1.106402+3 4.355000-4 1.127348+3 4.457875-4 1.132108+3 4.488308-4 1.139628+3 4.507566-4 1.150028+3 4.543001-4 1.179703+3 4.572298-4 1.205258+3 4.585964-4 1.214398+3 4.603125-4 1.222531+3 4.674362-4 1.239388+3 4.791656-4 1.283159+3 4.954502-4 1.327698+3 5.177339-4 1.374132+3 5.442956-4 1.426134+3 5.675518-4 1.479884+3 5.915641-4 1.520581+3 6.188721-4 1.555692+3 6.393090-4 1.577813+3 6.651432-4 1.622691+3 6.917500-4 1.658887+3 7.343651-4 1.700746+3 7.782133-4 1.732602+3 8.320630-4 1.760570+3 8.865329-4 1.779762+3 9.437508-4 1.791379+3 1.001013-3 1.794776+3 1.077705-3 1.787531+3 1.137413-3 1.769893+3 1.216186-3 1.741426+3 1.295221-3 1.705667+3 1.371579-3 1.664133+3 1.449606-3 1.612974+3 1.528525-3 1.546690+3 1.599213-3 1.476041+3 1.654817-3 1.412465+3 1.707433-3 1.342786+3 1.749234-3 1.278844+3 1.788812-3 1.208106+3 1.821011-3 1.140317+3 1.849194-3 1.070508+3 1.872837-3 1.001024+3 1.890438-3 9.392936+2 1.904976-3 8.781650+2 1.916999-3 8.179488+2 1.926056-3 7.668029+2 1.941759-3 6.774728+2 1.946576-3 6.550082+2 1.948769-3 6.463624+2 1.951389-3 6.376220+2 1.953976-3 6.309043+2 1.955994-3 6.271127+2 1.958580-3 6.242466+2 1.961393-3 6.237946+2 1.965113-3 6.275842+2 1.968580-3 6.355777+2 1.972195-3 6.482423+2 1.975509-3 6.633365+2 1.981196-3 6.954818+2 1.995601-3 7.929537+2 1.999485-3 8.187297+2 2.004986-3 8.528028+2 2.010262-3 8.824989+2 2.016796-3 9.158964+2 2.034637-3 1.005029+3 2.041873-3 1.047575+3 2.066499-3 1.221718+3 2.073944-3 1.274098+3 2.083017-3 1.332085+3 2.095573-3 1.399672+3 2.112417-3 1.470666+3 2.134384-3 1.543025+3 2.164315-3 1.624570+3 2.203327-3 1.716951+3 2.244127-3 1.803641+3 2.278288-3 1.864711+3 2.310475-3 1.909076+3 2.344229-3 1.942033+3 2.386971-3 1.964020+3 2.410279-3 1.976020+3 2.430264-3 1.999148+3 2.441343-3 2.019976+3 2.456517-3 2.058103+3 2.494694-3 2.176911+3 2.506470-3 2.209473+3 2.518942-3 2.238704+3 2.535493-3 2.269604+3 2.558811-3 2.302035+3 2.585235-3 2.329176+3 2.614230-3 2.351079+3 2.653078-3 2.371099+3 2.686479-3 2.380262+3 2.754663-3 2.384582+3 2.777799-3 2.392789+3 2.800844-3 2.410451+3 2.860869-3 2.470062+3 2.885633-3 2.485319+3 2.919977-3 2.497083+3 2.998553-3 2.501172+3 3.031229-3 2.513235+3 3.091083-3 2.560301+3 3.119206-3 2.576916+3 3.153837-3 2.590423+3 3.197431-3 2.601129+3 3.320856-3 2.611583+3 3.507519-3 2.603118+3 3.672823-3 2.582101+3 3.981072-3 2.523039+3 4.320724-3 2.440562+3 4.549553-3 2.380085+3 4.848642-3 2.296938+3 5.351392-3 2.158452+3 5.821032-3 2.033224+3 6.339249-3 1.899810+3 6.622403-3 1.830452+3 6.932164-3 1.756685+3 7.253487-3 1.682806+3 7.546957-3 1.617175+3 7.884185-3 1.544181+3 8.244389-3 1.468647+3 8.573069-3 1.401581+3 8.886238-3 1.338594+3 9.160058-3 1.283757+3 9.415645-3 1.232392+3 9.635136-3 1.187477+3 9.811123-3 1.150495+3 9.972808-3 1.115131+3 1.009644-2 1.086539+3 1.020907-2 1.058899+3 1.031476-2 1.030918+3 1.040715-2 1.003898+3 1.048287-2 9.788277+2 1.054447-2 9.553603+2 1.061145-2 9.255805+2 1.075769-2 8.528445+2 1.079914-2 8.377072+2 1.083033-2 8.305352+2 1.086670-2 8.276686+2 1.089726-2 8.299677+2 1.093044-2 8.368762+2 1.097801-2 8.527897+2 1.107554-2 8.927526+2 1.111060-2 9.055515+2 1.114788-2 9.171451+2 1.118737-2 9.270559+2 1.123487-2 9.360504+2 1.129609-2 9.439081+2 1.136128-2 9.489707+2 1.144299-2 9.520270+2 1.153255-2 9.523485+2 1.162819-2 9.499898+2 1.173303-2 9.447407+2 1.183489-2 9.371129+2 1.193331-2 9.271578+2 1.201965-2 9.158304+2 1.208621-2 9.049901+2 1.229384-2 8.636412+2 1.235574-2 8.553579+2 1.241224-2 8.525887+2 1.246861-2 8.546251+2 1.268490-2 8.785044+2 1.281999-2 8.842287+2 1.294482-2 8.901830+2 1.307322-2 9.042002+2 1.323231-2 9.228175+2 1.336683-2 9.320306+2 1.356859-2 9.371143+2 1.380654-2 9.367443+2 1.409081-2 9.316859+2 1.444953-2 9.210399+2 1.484432-2 9.060715+2 1.551991-2 8.758798+2 1.627333-2 8.394886+2 1.737215-2 7.861352+2 1.876209-2 7.217766+2 2.075845-2 6.396549+2 2.285928-2 5.663023+2 2.542239-2 4.919138+2 2.806217-2 4.287284+2 3.129077-2 3.660691+2 3.526479-2 3.058550+2 3.814505-2 2.704205+2 4.128703-2 2.375136+2 5.014370-2 1.706070+2 5.436414-2 1.480919+2 5.886318-2 1.280971+2 6.242453-2 1.144492+2 6.534366-2 1.043085+2 6.756276-2 9.695945+1 6.927514-2 9.127189+1 7.047703-2 8.706512+1 7.098586-2 8.514391+1 7.141830-2 8.338444+1 7.178833-2 8.173498+1 7.232716-2 7.900159+1 7.336662-2 7.324631+1 7.365907-2 7.209885+1 7.392239-2 7.148903+1 7.411739-2 7.132884+1 7.440145-2 7.152096+1 7.476000-2 7.232452+1 7.552824-2 7.471691+1 7.600502-2 7.584603+1 7.654132-2 7.658569+1 7.691948-2 7.684593+1 7.783881-2 7.694878+1 7.896021-2 7.652592+1 8.102552-2 7.502696+1 8.306185-2 7.316801+1 8.616075-2 7.003007+1 9.069423-2 6.529525+1 9.640957-2 5.964590+1 1.033320-1 5.350708+1 1.118408-1 4.695049+1 1.227968-1 3.996215+1 1.449884-1 2.973063+1 1.893161-1 1.833062+1 2.280896-1 1.299679+1 2.755715-1 9.104893+0 3.486687-1 5.807272+0 4.820865-1 3.101491+0 7.130582-1 1.442794+0 1.173413+0 5.405002-1 2.135261+0 1.645769-1 6.448384+0 1.810979-2 1.947381+1 1.986309-3 5.880996+1 2.178018-4 1.776032+2 2.388157-5 5.363532+2 2.618564-6 1.995262+3 1.892191-7 6.309573+3 1.892191-8 1.995262+4 1.892191-9 6.309573+4 1.89219-10 1.000000+5 7.53295-11 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.679500-6 1.258900-6 2.661900-6 1.584900-6 4.218800-6 1.995300-6 6.686300-6 2.511900-6 1.059700-5 3.162300-6 1.679500-5 3.981100-6 2.661800-5 5.011900-6 4.218700-5 6.309600-6 6.686100-5 7.943300-6 1.059700-4 1.000000-5 1.679400-4 1.258900-5 2.661700-4 1.584900-5 4.218400-4 1.995300-5 6.685600-4 2.511900-5 1.059600-3 3.162300-5 1.679100-3 3.981100-5 2.660600-3 5.011900-5 4.215700-3 6.309600-5 6.679900-3 7.943300-5 1.057500-2 1.000000-4 1.673700-2 1.258900-4 2.648800-2 1.584900-4 4.185400-2 1.995300-4 6.606000-2 2.511900-4 1.039900-1 3.162300-4 1.630900-1 3.981100-4 2.542500-1 5.011900-4 3.925000-1 6.309600-4 5.958700-1 7.943300-4 8.852800-1 1.000000-3 1.279000+0 1.258900-3 1.788800+0 1.584900-3 2.420300+0 1.995300-3 3.187400+0 2.511900-3 4.126200+0 3.162300-3 5.277700+0 3.981100-3 6.678300+0 5.011900-3 8.359100+0 6.309600-3 1.034900+1 7.943300-3 1.258700+1 1.000000-2 1.497800+1 1.258900-2 1.746000+1 1.584900-2 2.005600+1 1.995300-2 2.271300+1 2.511900-2 2.533300+1 3.162300-2 2.771100+1 3.981100-2 2.966400+1 5.011900-2 3.110400+1 6.309600-2 3.200000+1 7.943300-2 3.236200+1 1.000000-1 3.218300+1 1.258900-1 3.148700+1 1.584900-1 3.035700+1 1.995300-1 2.889600+1 2.511900-1 2.720200+1 3.162300-1 2.536300+1 3.981100-1 2.344300+1 5.011900-1 2.150500+1 6.309600-1 1.958700+1 7.943300-1 1.771600+1 1.000000+0 1.591300+1 1.258900+0 1.421300+1 1.584900+0 1.260400+1 1.995300+0 1.110300+1 2.511900+0 9.718100+0 3.162300+0 8.452300+0 3.981100+0 7.307400+0 5.011900+0 6.282200+0 6.309600+0 5.372000+0 7.943300+0 4.572000+0 1.000000+1 3.873800+0 1.258900+1 3.268900+0 1.584900+1 2.748300+0 1.995300+1 2.303000+0 2.511900+1 1.924000+0 3.162300+1 1.603000+0 3.981100+1 1.332300+0 5.011900+1 1.104900+0 6.309600+1 9.144800-1 7.943300+1 7.554900-1 1.000000+2 6.231000-1 1.258900+2 5.131400-1 1.584900+2 4.220000-1 1.995300+2 3.466000-1 2.511900+2 2.843400-1 3.162300+2 2.330100-1 3.981100+2 1.907600-1 5.011900+2 1.560200-1 6.309600+2 1.274900-1 7.943300+2 1.041000-1 1.000000+3 8.493300-2 1.258900+3 6.924500-2 1.584900+3 5.641600-2 1.995300+3 4.593500-2 2.511900+3 3.737700-2 3.162300+3 3.039700-2 3.981100+3 2.470700-2 5.011900+3 2.007100-2 6.309600+3 1.629700-2 7.943300+3 1.322600-2 1.000000+4 1.072900-2 1.258900+4 8.699800-3 1.584900+4 7.051300-3 1.995300+4 5.712900-3 2.511900+4 4.626700-3 3.162300+4 3.745700-3 3.981100+4 3.031300-3 5.011900+4 2.452300-3 6.309600+4 1.983300-3 7.943300+4 1.603400-3 1.000000+5 1.295900-3 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510163-4 3.162278-4 3.159550-4 3.981072-4 3.976748-4 5.011872-4 5.005062-4 6.309573-4 6.298846-4 7.943282-4 7.926427-4 1.000000-3 9.973552-4 1.258925-3 1.254803-3 1.584893-3 1.578471-3 1.995262-3 1.985241-3 2.511886-3 2.496246-3 3.162278-3 3.137773-3 3.981072-3 3.942639-3 5.011872-3 4.951491-3 6.309573-3 6.215176-3 7.943282-3 7.796013-3 1.000000-2 9.771359-3 1.258925-2 1.223499-2 1.584893-2 1.530160-2 1.995262-2 1.910741-2 2.511886-2 2.381823-2 3.162278-2 2.963411-2 3.981072-2 3.679383-2 5.011872-2 4.557510-2 6.309573-2 5.629990-2 7.943282-2 6.933823-2 1.000000-1 8.512980-2 1.258925-1 1.041904-1 1.584893-1 1.271097-1 1.995262-1 1.545638-1 2.511886-1 1.873228-1 3.162278-1 2.262976-1 3.981072-1 2.724828-1 5.011872-1 3.270861-1 6.309573-1 3.915414-1 7.943282-1 4.675322-1 1.000000+0 5.570009-1 1.258925+0 6.622337-1 1.584893+0 7.865033-1 1.995262+0 9.335935-1 2.511886+0 1.108151+0 3.162278+0 1.315900+0 3.981072+0 1.563873+0 5.011872+0 1.860771+0 6.309573+0 2.217020+0 7.943282+0 2.645470+0 1.000000+1 3.162090+0 1.258925+1 3.786171+0 1.584893+1 4.541335+0 1.995262+1 5.456588+0 2.511886+1 6.567436+0 3.162278+1 7.917466+0 3.981072+1 9.559904+0 5.011872+1 1.156063+1 6.309573+1 1.400036+1 7.943282+1 1.697801+1 1.000000+2 2.061541+1 1.258925+2 2.506241+1 1.584893+2 3.050407+1 1.995262+2 3.716766+1 2.511886+2 4.533283+1 3.162278+2 5.534541+1 3.981072+2 6.762986+1 5.011872+2 8.271330+1 6.309573+2 1.012428+2 7.943282+2 1.240186+2 1.000000+3 1.520284+2 1.258925+3 1.864900+2 1.584893+3 2.289157+2 1.995262+3 2.811732+2 2.511886+3 3.455487+2 3.162278+3 4.249336+2 3.981072+3 5.228230+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739893-9 3.981072-5 4.342137-9 5.011872-5 6.881497-9 6.309573-5 1.090595-8 7.943282-5 1.727966-8 1.000000-4 2.738108-8 1.258925-4 4.338806-8 1.584893-4 6.873071-8 1.995262-4 1.088571-7 2.511886-4 1.723698-7 3.162278-4 2.727628-7 3.981072-4 4.323776-7 5.011872-4 6.810692-7 6.309573-4 1.072725-6 7.943282-4 1.685533-6 1.000000-3 2.644774-6 1.258925-3 4.122173-6 1.584893-3 6.422271-6 1.995262-3 1.002099-5 2.511886-3 1.564030-5 3.162278-3 2.450417-5 3.981072-3 3.843238-5 5.011872-3 6.038132-5 6.309573-3 9.439780-5 7.943282-3 1.472691-4 1.000000-2 2.286410-4 1.258925-2 3.542670-4 1.584893-2 5.473351-4 1.995262-2 8.452113-4 2.511886-2 1.300638-3 3.162278-2 1.988662-3 3.981072-2 3.016888-3 5.011872-2 4.543625-3 6.309573-2 6.795830-3 7.943282-2 1.009459-2 1.000000-1 1.487020-2 1.258925-1 2.170218-2 1.584893-1 3.137962-2 1.995262-1 4.496239-2 2.511886-1 6.386587-2 3.162278-1 8.993020-2 3.981072-1 1.256244-1 5.011872-1 1.741012-1 6.309573-1 2.394159-1 7.943282-1 3.267961-1 1.000000+0 4.429991-1 1.258925+0 5.966917-1 1.584893+0 7.983899-1 1.995262+0 1.061669+0 2.511886+0 1.403736+0 3.162278+0 1.846378+0 3.981072+0 2.417199+0 5.011872+0 3.151101+0 6.309573+0 4.092553+0 7.943282+0 5.297813+0 1.000000+1 6.837910+0 1.258925+1 8.803083+0 1.584893+1 1.130760+1 1.995262+1 1.449603+1 2.511886+1 1.855143+1 3.162278+1 2.370531+1 3.981072+1 3.025081+1 5.011872+1 3.855809+1 6.309573+1 4.909537+1 7.943282+1 6.245482+1 1.000000+2 7.938459+1 1.258925+2 1.008301+2 1.584893+2 1.279852+2 1.995262+2 1.623586+2 2.511886+2 2.058558+2 3.162278+2 2.608824+2 3.981072+2 3.304773+2 5.011872+2 4.184739+2 6.309573+2 5.297145+2 7.943282+2 6.703096+2 1.000000+3 8.479716+2 1.258925+3 1.072435+3 1.584893+3 1.355977+3 1.995262+3 1.714089+3 2.511886+3 2.166338+3 3.162278+3 2.737344+3 3.981072+3 3.458249+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 8.390000-6 6.583920+6 8.810489-6 5.381627+6 9.600000-6 3.745602+6 9.600000-6 9.487785+6 1.000000-5 9.240532+6 1.059254-5 9.126647+6 1.079000-5 9.150366+6 1.079000-5 1.227749+7 1.115000-5 1.252507+7 1.122018-5 1.258491+7 1.161449-5 1.295606+7 1.216186-5 1.360120+7 1.244515-5 1.398728+7 1.318257-5 1.509784+7 1.333521-5 1.534800+7 1.388400-5 1.626540+7 1.462177-5 1.759339+7 1.513561-5 1.854086+7 1.570000-5 1.960941+7 1.584893-5 1.989865+7 1.640590-5 2.095955+7 1.698244-5 2.206943+7 1.757924-5 2.319707+7 1.800000-5 2.398794+7 1.862087-5 2.510910+7 1.905461-5 2.588151+7 1.950000-5 2.662698+7 2.000000-5 2.743998+7 2.041738-5 2.806762+7 2.089296-5 2.875385+7 2.113489-5 2.907133+7 2.162719-5 2.968376+7 2.190000-5 2.998599+7 2.213095-5 3.022250+7 2.238721-5 3.048488+7 2.270000-5 3.075750+7 2.300000-5 3.098918+7 2.317395-5 3.112328+7 2.350000-5 3.132124+7 2.371374-5 3.142970+7 2.400000-5 3.157455+7 2.426610-5 3.166429+7 2.454709-5 3.172961+7 2.483133-5 3.179557+7 2.511886-5 3.181335+7 2.528300-5 3.180485+7 2.570396-5 3.178392+7 2.600160-5 3.172167+7 2.650000-5 3.157099+7 2.660725-5 3.152318+7 2.730000-5 3.116272+7 2.800000-5 3.064468+7 2.818383-5 3.051244+7 2.884032-5 2.990465+7 2.900000-5 2.976089+7 2.951209-5 2.920206+7 2.985383-5 2.884056+7 3.000000-5 2.867615+7 3.040000-5 2.819105+7 3.080000-5 2.772064+7 3.090295-5 2.759423+7 3.126079-5 2.712838+7 3.162278-5 2.667062+7 3.198895-5 2.619490+7 3.223700-5 2.585919+7 3.273407-5 2.520710+7 3.311311-5 2.470137+7 3.330000-5 2.444337+7 3.400000-5 2.351325+7 3.427678-5 2.314544+7 3.450000-5 2.285515+7 3.507519-5 2.209527+7 3.548134-5 2.156307+7 3.590900-5 2.102293+7 3.650000-5 2.027852+7 3.690000-5 1.978081+7 3.758374-5 1.897002+7 3.801894-5 1.846113+7 3.850000-5 1.790646+7 3.950000-5 1.682662+7 3.981072-5 1.650045+7 4.073803-5 1.555782+7 4.168694-5 1.466924+7 4.415704-5 1.257525+7 4.677351-5 1.071057+7 5.000000-5 8.829609+6 5.069907-5 8.468325+6 5.308844-5 7.372823+6 5.315000-5 7.346144+6 5.315000-5 1.061762+7 5.370318-5 1.040625+7 5.432503-5 1.015199+7 5.500000-5 9.865536+6 5.570000-5 9.562685+6 5.650000-5 9.216550+6 5.651800-5 9.208734+6 5.754399-5 8.758298+6 5.888437-5 8.192038+6 5.900000-5 8.143871+6 6.000000-5 7.742764+6 6.025596-5 7.641770+6 6.165950-5 7.104298+6 6.309573-5 6.592426+6 6.326000-5 6.535623+6 6.326000-5 6.842603+6 6.350000-5 6.770349+6 6.382635-5 6.672230+6 6.390000-5 6.649909+6 6.430000-5 6.528978+6 6.480000-5 6.380760+6 6.531306-5 6.232418+6 6.600000-5 6.039625+6 6.601000-5 6.036850+6 6.601000-5 7.452302+6 6.607000-5 7.440338+6 6.621000-5 7.411987+6 6.621000-5 7.615396+6 6.650000-5 7.566695+6 6.683439-5 7.503870+6 6.700000-5 7.471974+6 6.720000-5 7.429927+6 6.760830-5 7.345274+6 6.770000-5 7.326731+6 6.815000-5 7.226157+6 6.850000-5 7.149584+6 6.870000-5 7.103979+6 6.880000-5 7.081212+6 6.918310-5 6.994559+6 6.920000-5 6.990730+6 6.998420-5 6.806565+6 7.000000-5 6.802919+6 7.079458-5 6.612431+6 7.110000-5 6.540450+6 7.150000-5 6.444367+6 7.161434-5 6.417142+6 7.230000-5 6.256735+6 7.244360-5 6.222820+6 7.270000-5 6.163006+6 7.328245-5 6.029574+6 7.350000-5 5.980633+6 7.400000-5 5.867053+6 7.413102-5 5.837677+6 7.500000-5 5.645297+6 7.585776-5 5.458790+6 7.673615-5 5.277109+6 7.800000-5 5.024331+6 7.852356-5 4.924949+6 7.900000-5 4.833853+6 8.035261-5 4.588110+6 8.080000-5 4.511480+6 8.128305-5 4.429414+6 8.230000-5 4.265169+6 8.317638-5 4.132224+6 8.413951-5 3.989887+6 8.511380-5 3.855142+6 8.570000-5 3.778149+6 8.609938-5 3.727791+6 8.650000-5 3.678907+6 8.709636-5 3.607182+6 8.730000-5 3.583487+6 8.810489-5 3.493959+6 8.900000-5 3.398029+6 9.015711-5 3.284957+6 9.070000-5 3.235157+6 9.120108-5 3.192157+6 9.230000-5 3.101792+6 9.332543-5 3.026136+6 9.400000-5 2.978893+6 9.440609-5 2.952728+6 9.580000-5 2.869237+6 9.588400-5 2.864620+6 9.800000-5 2.761303+6 9.812000-5 2.756327+6 9.812000-5 2.827807+6 9.900000-5 2.791027+6 9.980000-5 2.760937+6 1.000000-4 2.753865+6 1.000900-4 2.750778+6 1.005000-4 2.737569+6 1.020000-4 2.695198+6 1.023293-4 2.687121+6 1.035142-4 2.662377+6 1.050000-4 2.640858+6 1.059254-4 2.632112+6 1.060000-4 2.631550+6 1.070000-4 2.625464+6 1.071519-4 2.624842+6 1.083927-4 2.622043+6 1.090000-4 2.622675+6 1.096478-4 2.624616+6 1.100000-4 2.626161+6 1.110000-4 2.632626+6 1.122018-4 2.644131+6 1.135011-4 2.661450+6 1.150000-4 2.687006+6 1.170000-4 2.727143+6 1.190000-4 2.777537+6 1.205000-4 2.819897+6 1.216186-4 2.853039+6 1.220000-4 2.864873+6 1.244515-4 2.949279+6 1.260000-4 3.006895+6 1.273503-4 3.058310+6 1.303167-4 3.183060+6 1.318257-4 3.250476+6 1.330000-4 3.302958+6 1.350000-4 3.397520+6 1.364583-4 3.468059+6 1.380384-4 3.544103+6 1.390400-4 3.594040+6 1.400000-4 3.643287+6 1.412538-4 3.707112+6 1.428894-4 3.788518+6 1.450000-4 3.897595+6 1.462177-4 3.960557+6 1.480000-4 4.049513+6 1.500000-4 4.152286+6 1.513561-4 4.220832+6 1.520000-4 4.251751+6 1.531087-4 4.305786+6 1.540000-4 4.349953+6 1.548817-4 4.394206+6 1.560000-4 4.448350+6 1.566751-4 4.479348+6 1.584893-4 4.563860+6 1.600000-4 4.635708+6 1.603245-4 4.650492+6 1.620000-4 4.722138+6 1.621810-4 4.729949+6 1.650000-4 4.853514+6 1.659587-4 4.893771+6 1.670000-4 4.934343+6 1.698244-4 5.045846+6 1.705000-4 5.072845+6 1.720000-4 5.129604+6 1.737801-4 5.191722+6 1.740000-4 5.199483+6 1.760000-4 5.270474+6 1.778279-4 5.331925+6 1.780000-4 5.337742+6 1.820000-4 5.461930+6 1.840772-4 5.523280+6 1.850000-4 5.550594+6 1.862087-4 5.582887+6 1.883649-4 5.640850+6 1.905461-4 5.695968+6 1.930000-4 5.758463+6 1.950000-4 5.803788+6 1.995262-4 5.898915+6 2.000000-4 5.908897+6 2.018366-4 5.947657+6 2.041738-4 5.986029+6 2.050000-4 5.999601+6 2.089296-4 6.064158+6 2.100000-4 6.077392+6 2.137962-4 6.124273+6 2.150000-4 6.139110+6 2.162719-4 6.154721+6 2.178800-4 6.170785+6 2.190000-4 6.179628+6 2.238721-4 6.218132+6 2.250000-4 6.224244+6 2.264644-4 6.232187+6 2.300000-4 6.244714+6 2.317395-4 6.250847+6 2.330000-4 6.255298+6 2.344229-4 6.256763+6 2.350000-4 6.257369+6 2.400000-4 6.253683+6 2.426610-4 6.251890+6 2.454709-4 6.243724+6 2.511886-4 6.217588+6 2.517700-4 6.214987+6 2.540973-4 6.204676+6 2.570396-4 6.186309+6 2.650000-4 6.126473+6 2.660725-4 6.118582+6 2.691535-4 6.091098+6 2.754229-4 6.028931+6 2.786121-4 5.998103+6 2.800000-4 5.984835+6 2.818383-4 5.964343+6 2.822900-4 5.958853+6 2.822900-4 6.215225+6 2.836000-4 6.189847+6 2.855000-4 6.155597+6 2.870000-4 6.130277+6 2.890000-4 6.098399+6 2.900000-4 6.083319+6 2.917427-4 6.057325+6 2.951209-4 6.009731+6 2.970800-4 5.978379+6 2.970800-4 6.136779+6 2.985383-4 6.112834+6 2.995000-4 6.097163+6 3.007000-4 6.078120+6 3.019952-4 6.057201+6 3.022000-4 6.053911+6 3.030000-4 6.040524+6 3.030200-4 6.040197+6 3.035000-4 6.032344+6 3.054921-4 5.998744+6 3.065000-4 5.981941+6 3.090295-4 5.942172+6 3.100000-4 5.927419+6 3.130000-4 5.876332+6 3.140000-4 5.859726+6 3.162278-4 5.823864+6 3.180000-4 5.795657+6 3.200000-4 5.765156+6 3.220000-4 5.735002+6 3.225800-4 5.726482+6 3.235937-4 5.711862+6 3.260000-4 5.675373+6 3.273407-4 5.655618+6 3.311311-4 5.596775+6 3.320000-4 5.583688+6 3.349654-4 5.540118+6 3.370000-4 5.510659+6 3.388442-4 5.484905+6 3.410000-4 5.453350+6 3.430000-4 5.424783+6 3.467369-4 5.369017+6 3.500000-4 5.321983+6 3.507519-4 5.311285+6 3.522600-4 5.289978+6 3.530000-4 5.279706+6 3.548134-4 5.254979+6 3.589219-4 5.200051+6 3.630781-4 5.143647+6 3.650000-4 5.116502+6 3.672823-4 5.085000+6 3.740000-4 4.995732+6 3.758374-4 4.972281+6 3.801894-4 4.917953+6 3.850000-4 4.857126+6 3.935501-4 4.749082+6 4.000000-4 4.671285+6 4.027170-4 4.639599+6 4.050000-4 4.612204+6 4.073803-4 4.583794+6 4.120975-4 4.525713+6 4.168694-4 4.469044+6 4.216965-4 4.412697+6 4.265795-4 4.357664+6 4.280000-4 4.342008+6 4.315191-4 4.301516+6 4.415704-4 4.185457+6 4.430000-4 4.169398+6 4.466836-4 4.128435+6 4.518559-4 4.072614+6 4.570882-4 4.016093+6 4.600000-4 3.984825+6 4.623810-4 3.958526+6 4.662300-4 3.916867+6 4.662300-4 4.150984+6 4.731513-4 4.077169+6 4.755500-4 4.051790+6 4.786301-4 4.019750+6 4.897788-4 3.905395+6 5.069907-4 3.733171+6 5.080000-4 3.723519+6 5.128614-4 3.677145+6 5.248075-4 3.565982+6 5.370318-4 3.454195+6 5.432503-4 3.399819+6 5.450000-4 3.384460+6 5.460700-4 3.374933+6 5.460700-4 3.424018+6 5.500000-4 3.389481+6 5.559043-4 3.338961+6 5.650000-4 3.261662+6 5.800000-4 3.139348+6 5.821032-4 3.122605+6 5.888437-4 3.070130+6 5.900000-4 3.061231+6 5.956621-4 3.016699+6 6.000000-4 2.983447+6 6.025596-4 2.964170+6 6.100000-4 2.909511+6 6.200000-4 2.838565+6 6.237348-4 2.812055+6 6.350000-4 2.734910+6 6.382635-4 2.712643+6 6.456542-4 2.663083+6 6.480300-4 2.647519+6 6.480300-4 2.706809+6 6.531306-4 2.673744+6 6.683439-4 2.578404+6 6.700000-4 2.568267+6 6.839116-4 2.485417+6 6.850000-4 2.479034+6 7.000000-4 2.392861+6 7.079458-4 2.349125+6 7.120000-4 2.327316+6 7.161434-4 2.305360+6 7.244360-4 2.261354+6 7.328245-4 2.218290+6 7.413102-4 2.175053+6 7.500000-4 2.132430+6 7.673615-4 2.050785+6 7.730000-4 2.024994+6 7.762471-4 2.010383+6 7.852356-4 1.970725+6 7.943282-4 1.931444+6 8.128305-4 1.854881+6 8.222426-4 1.817702+6 8.413951-4 1.745171+6 8.511380-4 1.709796+6 8.609938-4 1.674506+6 8.912509-4 1.573004+6 9.015711-4 1.540354+6 9.120108-4 1.508146+6 9.200000-4 1.484073+6 9.225714-4 1.476455+6 9.332543-4 1.445357+6 9.549926-4 1.384517+6 9.700000-4 1.344575+6 9.885531-4 1.297087+6 1.000000-3 1.269145+6 1.011579-3 1.241889+6 1.023293-3 1.215100+6 1.035142-3 1.188669+6 1.047129-3 1.162623+6 1.050000-3 1.156524+6 1.059254-3 1.137188+6 1.083927-3 1.087800+6 1.096478-3 1.063790+6 1.110000-3 1.038622+6 1.135011-3 9.942469+5 1.161449-3 9.503398+5 1.174898-3 9.290652+5 1.188502-3 9.081094+5 1.190000-3 9.058287+5 1.202264-3 8.873342+5 1.230269-3 8.473333+5 1.244515-3 8.280772+5 1.270000-3 7.951973+5 1.273503-3 7.907941+5 1.288250-3 7.725795+5 1.303167-3 7.547155+5 1.318257-3 7.373082+5 1.333521-3 7.202174+5 1.350000-3 7.024417+5 1.364583-3 6.872941+5 1.380384-3 6.713101+5 1.396368-3 6.555463+5 1.400000-3 6.520462+5 1.428894-3 6.251322+5 1.450000-3 6.065527+5 1.479108-3 5.821491+5 1.500000-3 5.652938+5 1.531087-3 5.415129+5 1.566751-3 5.160238+5 1.584893-3 5.037773+5 1.603245-3 4.918311+5 1.610000-3 4.874723+5 1.640590-3 4.683039+5 1.650000-3 4.626454+5 1.678804-3 4.459103+5 1.717908-3 4.246692+5 1.737801-3 4.144635+5 1.757924-3 4.044062+5 1.819701-3 3.753386+5 1.840772-3 3.661174+5 1.883649-3 3.484079+5 1.905461-3 3.399043+5 1.927525-3 3.314843+5 1.949845-3 3.232291+5 1.950000-3 3.231728+5 1.970900-3 3.157131+5 1.970900-3 8.336867+5 2.018366-3 8.024687+5 2.041738-3 7.878198+5 2.043000-3 7.870416+5 2.044500-3 7.861940+5 2.044500-3 1.017769+6 2.065380-3 1.010198+6 2.070000-3 1.008570+6 2.089296-3 1.001913+6 2.106000-3 9.963350+5 2.113489-3 9.937503+5 2.150000-3 9.816898+5 2.163000-3 9.776110+5 2.178000-3 9.721868+5 2.180000-3 9.715362+5 2.187762-3 9.688429+5 2.213095-3 9.602937+5 2.220000-3 9.580334+5 2.230000-3 9.542737+5 2.238721-3 9.502962+5 2.253500-3 9.443875+5 2.260000-3 9.417047+5 2.264644-3 9.385192+5 2.317395-3 9.038061+5 2.320000-3 9.021682+5 2.344229-3 8.860958+5 2.371374-3 8.687571+5 2.398833-3 8.478527+5 2.400000-3 8.469816+5 2.426610-3 8.268741+5 2.451700-3 8.058156+5 2.451700-3 9.332256+5 2.454709-3 9.305083+5 2.469000-3 9.177474+5 2.483133-3 9.053606+5 2.511886-3 8.808889+5 2.580000-3 8.258663+5 2.600160-3 8.105662+5 2.650000-3 7.744508+5 2.660725-3 7.669825+5 2.691535-3 7.461019+5 2.722701-3 7.256678+5 2.754229-3 7.057803+5 2.786121-3 6.864045+5 2.790200-3 6.839822+5 2.790200-3 7.256198+5 2.800000-3 7.197164+5 2.851018-3 6.898043+5 2.884032-3 6.714256+5 2.885000-3 6.708939+5 2.917427-3 6.533248+5 2.951209-3 6.357340+5 2.985383-3 6.185069+5 3.000000-3 6.113401+5 3.030000-3 5.969843+5 3.030000-3 6.228192+5 3.054921-3 6.110063+5 3.090295-3 5.948007+5 3.150000-3 5.684778+5 3.162278-3 5.632749+5 3.198895-3 5.481679+5 3.235937-3 5.334875+5 3.273407-3 5.191501+5 3.300000-3 5.092445+5 3.311311-3 5.051113+5 3.349654-3 4.914637+5 3.388442-3 4.781850+5 3.400000-3 4.743303+5 3.427678-3 4.652559+5 3.450000-3 4.580545+5 3.507519-3 4.402608+5 3.548134-3 4.283062+5 3.589219-3 4.166837+5 3.614600-3 4.097088+5 3.630781-3 4.053236+5 3.672823-3 3.942498+5 3.715352-3 3.834486+5 3.758374-3 3.729253+5 3.801894-3 3.627050+5 3.845918-3 3.527801+5 3.890451-3 3.430974+5 3.900000-3 3.410700+5 3.981072-3 3.244513+5 4.000000-3 3.207386+5 4.027170-3 3.154985+5 4.073803-3 3.067940+5 4.120975-3 2.983022+5 4.168694-3 2.900547+5 4.216965-3 2.820482+5 4.265795-3 2.741343+5 4.400000-3 2.539855+5 4.415704-3 2.517534+5 4.466836-3 2.446814+5 4.500000-3 2.402430+5 4.518559-3 2.377989+5 4.570882-3 2.310936+5 4.623810-3 2.245878+5 4.677351-3 2.182726+5 4.731513-3 2.121213+5 4.786301-3 2.061537+5 4.841724-3 2.003635+5 4.897788-3 1.947215+5 4.954502-3 1.892473+5 5.011872-3 1.839314+5 5.069907-3 1.787541+5 5.188000-3 1.688016+5 5.300000-3 1.600763+5 5.308844-3 1.594118+5 5.370318-3 1.548592+5 5.432503-3 1.504316+5 5.500000-3 1.458310+5 5.559043-3 1.419454+5 5.623413-3 1.378747+5 5.821032-3 1.263714+5 5.888437-3 1.227514+5 5.956621-3 1.192403+5 6.000000-3 1.170713+5 6.025596-3 1.158130+5 6.095369-3 1.124807+5 6.237348-3 1.061157+5 6.309573-3 1.030748+5 6.382635-3 1.001229+5 6.456542-3 9.724422+4 6.531306-3 9.444275+4 6.606934-3 9.172628+4 6.683439-3 8.909026+4 6.760830-3 8.651198+4 6.839116-3 8.400095+4 6.918310-3 8.156344+4 7.000000-3 7.915297+4 7.161434-3 7.464914+4 7.413102-3 6.833313+4 7.498942-3 6.635215+4 7.500000-3 6.632825+4 7.585776-3 6.442315+4 7.673615-3 6.255183+4 7.762471-3 6.072504+4 7.800000-3 5.997599+4 7.852356-3 5.895221+4 7.943282-3 5.723100+4 8.035261-3 5.556268+4 8.128305-3 5.394547+4 8.317638-3 5.082722+4 8.511380-3 4.789777+4 8.609938-3 4.650003+4 8.709636-3 4.513444+4 8.810489-3 4.380511+4 8.912509-3 4.251686+4 9.015711-3 4.126683+4 9.120108-3 4.004889+4 9.332543-3 3.772382+4 9.549926-3 3.553241+4 9.660509-3 3.448714+4 9.772372-3 3.347346+4 9.800000-3 3.322950+4 9.885531-3 3.248695+4 1.000000-2 3.152974+4 1.011579-2 3.059942+4 1.023293-2 2.969663+4 1.040000-2 2.846115+4 1.047129-2 2.795508+4 1.059254-2 2.712341+4 1.071519-2 2.631757+4 1.087700-2 2.530579+4 1.087700-2 6.586931+4 1.095000-2 6.466830+4 1.096478-2 6.442878+4 1.109175-2 6.242022+4 1.110000-2 6.229266+4 1.122018-2 6.059179+4 1.125000-2 6.017937+4 1.135011-2 5.877230+4 1.148154-2 5.699364+4 1.161449-2 5.526765+4 1.174898-2 5.359137+4 1.188502-2 5.196311+4 1.202264-2 5.038508+4 1.230269-2 4.732579+4 1.242400-2 4.607969+4 1.242400-2 6.388384+4 1.252000-2 6.266773+4 1.258925-2 6.174410+4 1.267000-2 6.069050+4 1.273503-2 5.989187+4 1.280000-2 5.910804+4 1.288250-2 5.810504+4 1.295000-2 5.730147+4 1.295000-2 6.625777+4 1.300000-2 6.561170+4 1.303167-2 6.520648+4 1.318257-2 6.332160+4 1.320000-2 6.310888+4 1.333521-2 6.150093+4 1.348963-2 5.973478+4 1.357000-2 5.884409+4 1.364583-2 5.801731+4 1.380384-2 5.634557+4 1.390000-2 5.535460+4 1.396368-2 5.471706+4 1.428894-2 5.161863+4 1.435000-2 5.106494+4 1.445440-2 5.012771+4 1.450000-2 4.972597+4 1.462177-2 4.867473+4 1.479108-2 4.724761+4 1.496236-2 4.586142+4 1.513561-2 4.451454+4 1.531087-2 4.320827+4 1.548817-2 4.194135+4 1.580000-2 3.983729+4 1.584893-2 3.952194+4 1.600000-2 3.857034+4 1.640590-2 3.616904+4 1.650000-2 3.563765+4 1.659587-2 3.510380+4 1.690000-2 3.348267+4 1.698244-2 3.305860+4 1.717908-2 3.207596+4 1.730000-2 3.149186+4 1.737801-2 3.112240+4 1.757924-2 3.019713+4 1.778279-2 2.930011+4 1.798871-2 2.843045+4 1.800000-2 2.838382+4 1.862087-2 2.596989+4 1.883649-2 2.519521+4 1.905461-2 2.444423+4 1.927525-2 2.371588+4 1.949845-2 2.300903+4 1.972423-2 2.232384+4 1.995262-2 2.165906+4 2.000000-2 2.152446+4 2.041738-2 2.038763+4 2.065380-2 1.978091+4 2.089296-2 1.918877+4 2.113489-2 1.861478+4 2.137962-2 1.805235+4 2.187762-2 1.697900+4 2.213095-2 1.646655+4 2.238721-2 1.596984+4 2.264644-2 1.548850+4 2.290868-2 1.502194+4 2.300000-2 1.486410+4 2.317395-2 1.456942+4 2.344229-2 1.413068+4 2.371374-2 1.370502+4 2.398833-2 1.328936+4 2.454709-2 1.249649+4 2.511886-2 1.175202+4 2.540973-2 1.139664+4 2.600160-2 1.071851+4 2.630268-2 1.039275+4 2.650000-2 1.018672+4 2.660725-2 1.007698+4 2.691535-2 9.770789+3 2.722701-2 9.471808+3 2.754229-2 9.182183+3 2.818383-2 8.629327+3 2.851018-2 8.365776+3 2.900000-2 7.990893+3 2.917427-2 7.863075+3 2.951209-2 7.622619+3 3.000000-2 7.293100+3 3.019952-2 7.164073+3 3.054921-2 6.944362+3 3.162278-2 6.325100+3 3.162450-2 6.324171+3 3.198895-2 6.131510+3 3.235937-2 5.943952+3 3.273407-2 5.762091+3 3.311311-2 5.585898+3 3.349654-2 5.414031+3 3.388442-2 5.246483+3 3.427678-2 5.084245+3 3.548134-2 4.627624+3 3.589219-2 4.484785+3 3.715352-2 4.082784+3 3.758374-2 3.957149+3 3.801894-2 3.834865+3 3.890451-2 3.601684+3 3.900000-2 3.577704+3 3.935501-2 3.490028+3 3.981072-2 3.381794+3 4.027170-2 3.276993+3 4.073803-2 3.175500+3 4.120975-2 3.076797+3 4.168694-2 2.981142+3 4.265795-2 2.798867+3 4.365158-2 2.627997+3 4.415704-2 2.546183+3 4.466836-2 2.466876+3 4.518559-2 2.390081+3 4.570882-2 2.315688+3 4.677351-2 2.173831+3 4.786301-2 2.040449+3 4.841724-2 1.976927+3 4.897788-2 1.915368+3 4.954502-2 1.855764+3 5.011872-2 1.798058+3 5.069907-2 1.741991+3 5.188000-2 1.634451+3 5.248075-2 1.583246+3 5.308844-2 1.533611+3 5.370318-2 1.485554+3 5.432503-2 1.438992+3 5.754399-2 1.227575+3 5.821032-2 1.189224+3 6.025596-2 1.081122+3 6.095369-2 1.047125+3 6.165950-2 1.014217+3 6.237348-2 9.822431+2 6.309573-2 9.512942+2 6.382635-2 9.213296+2 6.456542-2 8.923183+2 6.531306-2 8.642374+2 6.839116-2 7.605792+2 7.161434-2 6.695169+2 7.244360-2 6.483997+2 7.328245-2 6.279603+2 7.406600-2 6.096376+2 7.406600-2 3.038303+3 7.498942-2 2.943000+3 7.500000-2 2.941932+3 7.600000-2 2.843383+3 7.673615-2 2.778597+3 7.700000-2 2.755887+3 7.852356-2 2.615626+3 7.930000-2 2.547891+3 8.222426-2 2.325201+3 8.300000-2 2.270720+3 8.413951-2 2.190301+3 8.511380-2 2.124625+3 8.609938-2 2.060842+3 8.810489-2 1.938989+3 8.912509-2 1.880787+3 9.015711-2 1.824338+3 9.120108-2 1.770356+3 9.225714-2 1.717975+3 9.660509-2 1.523561+3 1.000000-1 1.392387+3 1.011580-1 1.351231+3 1.023293-1 1.311253+3 1.035142-1 1.271523+3 1.047129-1 1.232998+3 1.059254-1 1.195647+3 1.071519-1 1.159433+3 1.083927-1 1.124308+3 1.096478-1 1.090252+3 1.109175-1 1.057229+3 1.122019-1 1.025209+3 1.135011-1 9.941629+2 1.148154-1 9.640571+2 1.216186-1 8.267041+2 1.230269-1 8.016839+2 1.258925-1 7.538486+2 1.273503-1 7.310145+2 1.333521-1 6.464086+2 1.348963-1 6.266521+2 1.364583-1 6.075019+2 1.380384-1 5.889348+2 1.396368-1 5.709365+2 1.428894-1 5.365766+2 1.445440-1 5.201869+2 1.479108-1 4.889060+2 1.531088-1 4.454803+2 1.566751-1 4.187002+2 1.640590-1 3.698580+2 1.659587-1 3.585678+2 1.678804-1 3.476238+2 1.717908-1 3.267290+2 1.757924-1 3.070921+2 1.778279-1 2.977224+2 1.798871-1 2.886419+2 1.800000-1 2.881551+2 1.819701-1 2.798420+2 1.862087-1 2.630407+2 1.883649-1 2.550228+2 1.949845-1 2.324081+2 1.995262-1 2.184594+2 2.018366-1 2.118026+2 2.041738-1 2.053489+2 2.065380-1 1.990928+2 2.089296-1 1.930281+2 2.113489-1 1.871485+2 2.162719-1 1.759264+2 2.213095-1 1.653824+2 2.264644-1 1.554713+2 2.344229-1 1.417083+2 2.371374-1 1.374416+2 2.398833-1 1.333037+2 2.426610-1 1.292908+2 2.454709-1 1.253989+2 2.483133-1 1.216258+2 2.511886-1 1.179669+2 2.540973-1 1.144192+2 2.600160-1 1.076441+2 2.630268-1 1.044087+2 2.754229-1 9.242506+1 2.786121-1 8.965111+1 2.818383-1 8.696046+1 2.851018-1 8.438532+1 2.884032-1 8.188650+1 2.917427-1 7.946185+1 2.951209-1 7.710930+1 3.054921-1 7.046490+1 3.090295-1 6.838001+1 3.126079-1 6.635685+1 3.162278-1 6.439454+1 3.198895-1 6.249039+1 3.235937-1 6.064611+1 3.273407-1 5.885639+1 3.349654-1 5.548495+1 3.388442-1 5.387256+1 3.427678-1 5.230787+1 3.507519-1 4.931369+1 3.548134-1 4.788172+1 3.589219-1 4.649137+1 3.590900-1 4.643569+1 3.630781-1 4.514197+1 3.672823-1 4.383187+1 3.715352-1 4.255981+1 3.758374-1 4.132528+1 3.801894-1 4.014884+1 3.845918-1 3.900604+1 3.890451-1 3.789640+1 3.935501-1 3.681836+1 4.000000-1 3.534841+1 4.027170-1 3.475374+1 4.073803-1 3.376571+1 4.120975-1 3.280584+1 4.216965-1 3.096721+1 4.265795-1 3.010309+1 4.315191-1 2.926356+1 4.365158-1 2.844758+1 4.415705-1 2.765647+1 4.466836-1 2.688742+1 4.518559-1 2.614011+1 4.623810-1 2.470728+1 4.677351-1 2.402061+1 4.786301-1 2.270403+1 4.841724-1 2.208531+1 4.897788-1 2.148361+1 4.954502-1 2.089898+1 5.000000-1 2.044637+1 5.011872-1 2.033056+1 5.069907-1 1.977892+1 5.308844-1 1.771813+1 5.370318-1 1.723742+1 5.432503-1 1.677966+1 5.495409-1 1.633412+1 5.559043-1 1.590087+1 5.623413-1 1.547941+1 5.688529-1 1.506914+1 5.754399-1 1.467068+1 5.821032-1 1.428277+1 5.888437-1 1.390511+1 5.956621-1 1.353745+1 6.025596-1 1.317956+1 6.095369-1 1.283882+1 6.165950-1 1.250725+1 6.237348-1 1.218425+1 6.309573-1 1.186984+1 6.382635-1 1.156354+1 6.456542-1 1.126516+1 6.606935-1 1.069270+1 6.683439-1 1.041752+1 6.760830-1 1.014946+1 6.839117-1 9.894489+0 6.918310-1 9.645938+0 6.998420-1 9.403641+0 7.079458-1 9.167434+0 7.161434-1 8.937338+0 7.244360-1 8.713019+0 7.328245-1 8.494336+0 7.413102-1 8.281738+0 7.498942-1 8.074578+0 7.585776-1 7.872708+0 7.673615-1 7.680687+0 7.762471-1 7.493357+0 8.000000-1 7.024292+0 8.035261-1 6.958350+0 8.128305-1 6.788763+0 8.222427-1 6.623384+0 8.511380-1 6.152406+0 8.609938-1 6.006838+0 8.709636-1 5.864858+0 8.912509-1 5.590906+0 9.015711-1 5.458768+0 9.120108-1 5.329875+0 9.225714-1 5.204046+0 9.332543-1 5.081646+0 9.440609-1 4.962257+0 9.549926-1 4.848796+0 9.660509-1 4.737931+0 9.772372-1 4.629619+0 9.885531-1 4.523859+0 1.000000+0 4.420516+0 1.011579+0 4.319743+0 1.023293+0 4.221266+0 1.035142+0 4.125301+0 1.047129+0 4.031568+0 1.059254+0 3.939975+0 1.071519+0 3.852260+0 1.096478+0 3.682635+0 1.109175+0 3.600713+0 1.122018+0 3.520634+0 1.135011+0 3.442374+0 1.148154+0 3.365859+0 1.161449+0 3.291047+0 1.188502+0 3.146485+0 1.202264+0 3.076798+0 1.216186+0 3.008709+0 1.230269+0 2.943860+0 1.244515+0 2.880409+0 1.258925+0 2.818333+0 1.288250+0 2.698154+0 1.303167+0 2.640003+0 1.318257+0 2.583154+0 1.333521+0 2.527578+0 1.348963+0 2.473391+0 1.380384+0 2.368483+0 1.412538+0 2.270620+0 1.479108+0 2.086864+0 1.500000+0 2.033985+0 1.513561+0 2.000762+0 1.531087+0 1.959196+0 1.548817+0 1.918492+0 1.584893+0 1.841815+0 1.603245+0 1.804642+0 1.659587+0 1.697564+0 1.678804+0 1.663304+0 1.698244+0 1.629766+0 1.717908+0 1.596906+0 1.737801+0 1.564837+0 1.757924+0 1.533414+0 1.778279+0 1.503492+0 1.798871+0 1.474155+0 1.819701+0 1.445391+0 1.840772+0 1.417200+0 1.883649+0 1.362458+0 1.905461+0 1.335886+0 1.927525+0 1.309856+0 1.949845+0 1.284334+0 1.972423+0 1.259412+0 1.995262+0 1.234975+0 2.000000+0 1.230000+0 2.018366+0 1.211542+0 2.044000+0 1.186514+0 2.089296+0 1.144287+0 2.137962+0 1.101544+0 2.162719+0 1.080775+0 2.187762+0 1.060417+0 2.213095+0 1.040443+0 2.238721+0 1.020926+0 2.264644+0 1.001775+0 2.290868+0 9.835221-1 2.317395+0 9.656025-1 2.344229+0 9.480171-1 2.371374+0 9.307519-1 2.426610+0 8.971593-1 2.454709+0 8.808208-1 2.511886+0 8.490601-1 2.540973+0 8.336140-1 2.570396+0 8.185093-1 2.600160+0 8.036782-1 2.630268+0 7.895405-1 2.660725+0 7.756513-1 2.691535+0 7.620123-1 2.722701+0 7.486134-1 2.786121+0 7.225179-1 2.818383+0 7.098137-1 2.884032+0 6.850938-1 2.917427+0 6.730609-1 2.951209+0 6.612849-1 3.000000+0 6.448675-1 3.019952+0 6.385235-1 3.054921+0 6.276531-1 3.090295+0 6.169723-1 3.126079+0 6.064731-1 3.162278+0 5.961525-1 3.235937+0 5.760354-1 3.273407+0 5.662334-1 3.349654+0 5.471439-1 3.388442+0 5.378433-1 3.427678+0 5.287366-1 3.467369+0 5.197840-1 3.507519+0 5.112253-1 3.548134+0 5.028075-1 3.589219+0 4.945319-1 3.630781+0 4.863923-1 3.672823+0 4.783869-1 3.758374+0 4.627691-1 3.801894+0 4.551527-1 3.890451+0 4.403075-1 3.935501+0 4.330686-1 4.000000+0 4.230882-1 4.027170+0 4.190002-1 4.073803+0 4.123276-1 4.120975+0 4.057613-1 4.168694+0 3.993023-1 4.216965+0 3.929461-1 4.265795+0 3.866911-1 4.415704+0 3.685173-1 4.466836+0 3.626513-1 4.570882+0 3.512082-1 4.623810+0 3.456238-1 4.677351+0 3.401494-1 4.731513+0 3.347616-1 4.786301+0 3.296056-1 4.841724+0 3.245290-1 4.897788+0 3.195328-1 4.954502+0 3.146134-1 5.011872+0 3.097698-1 5.188000+0 2.956818-1 5.248075+0 2.911298-1 5.308844+0 2.866510-1 5.432503+0 2.779006-1 5.495409+0 2.736267-1 5.559043+0 2.694347-1 5.623413+0 2.653069-1 5.688529+0 2.613540-1 5.754399+0 2.574600-1 5.821032+0 2.536256-1 5.888437+0 2.498483-1 5.956621+0 2.461273-1 6.165950+0 2.352935-1 6.237348+0 2.317894-1 6.309573+0 2.283399-1 6.456542+0 2.215952-1 6.531306+0 2.182985-1 6.606934+0 2.150627-1 6.683439+0 2.118749-1 6.760830+0 2.088158-1 6.839116+0 2.058008-1 7.000000+0 1.998461-1 7.079458+0 1.970179-1 7.161434+0 1.941744-1 7.413102+0 1.858878-1 7.498942+0 1.832050-1 7.673615+0 1.779585-1 7.852356+0 1.728631-1 7.943282+0 1.703709-1 8.035261+0 1.679238-1 8.128305+0 1.655118-1 8.222427+0 1.631985-1 8.413951+0 1.586703-1 8.511380+0 1.564535-1 8.609938+0 1.542677-1 8.912509+0 1.478918-1 9.015711+0 1.458257-1 9.120108+0 1.437884-1 9.332543+0 1.398014-1 9.549926+0 1.359256-1 9.772372+0 1.321579-1 9.885531+0 1.303202-1 1.000000+1 1.285080-1 1.011579+1 1.267691-1 1.023293+1 1.250535-1 1.047129+1 1.216919-1 1.083927+1 1.168182-1 1.100000+1 1.148009-1 1.109175+1 1.136780-1 1.161449+1 1.076520-1 1.202264+1 1.033438-1 1.230269+1 1.005682-1 1.244515+1 9.920913-2 1.258925+1 9.787221-2 1.273503+1 9.655321-2 1.288250+1 9.528314-2 1.303167+1 9.402984-2 1.318257+1 9.279300-2 1.364583+1 8.917930-2 1.380384+1 8.800631-2 1.400000+1 8.658969-2 1.462177+1 8.237128-2 1.513561+1 7.916591-2 1.548817+1 7.709884-2 1.566751+1 7.608616-2 1.600000+1 7.427766-2 1.621810+1 7.313451-2 1.640590+1 7.219793-2 1.678804+1 7.036064-2 1.698244+1 6.945958-2 1.757924+1 6.682509-2 1.778279+1 6.596938-2 1.800000+1 6.507885-2 1.883649+1 6.185402-2 1.949845+1 5.950965-2 2.000000+1 5.784290-2 2.018366+1 5.725475-2 2.089296+1 5.509096-2 2.113489+1 5.438803-2 2.137962+1 5.370823-2 2.162719+1 5.303691-2 2.200000+1 5.205579-2 2.238721+1 5.107294-2 2.317395+1 4.918167-2 2.371374+1 4.795993-2 2.398833+1 4.736050-2 2.511886+1 4.503787-2 2.630268+1 4.282940-2 2.691535+1 4.176624-2 2.722701+1 4.124484-2 2.851018+1 3.922811-2 2.884032+1 3.873957-2 2.917427+1 3.826680-2 2.985383+1 3.733846-2 3.019952+1 3.688277-2 3.090295+1 3.598803-2 3.162278+1 3.511499-2 3.198895+1 3.468645-2 3.388442+1 3.262177-2 3.715352+1 2.957114-2 3.758374+1 2.921044-2 3.890451+1 2.815465-2 3.935501+1 2.781138-2 4.168694+1 2.615980-2 4.216965+1 2.584147-2 4.265795+1 2.552701-2 4.315191+1 2.522142-2 4.365158+1 2.491948-2 4.415704+1 2.462116-2 4.518559+1 2.403518-2 4.623810+1 2.346317-2 4.677351+1 2.318228-2 4.954502+1 2.182804-2 5.432503+1 1.982407-2 5.495409+1 1.958687-2 5.559043+1 1.935253-2 5.754399+1 1.866620-2 5.821032+1 1.844294-2 6.309573+1 1.695532-2 6.382635+1 1.675284-2 6.531306+1 1.635511-2 6.683439+1 1.597187-2 6.760830+1 1.578362-2 6.918310+1 1.541377-2 7.161434+1 1.487518-2 7.328245+1 1.452662-2 7.498942+1 1.418622-2 8.035261+1 1.321251-2 8.609938+1 1.230571-2 8.709636+1 1.216074-2 8.810489+1 1.201750-2 8.912509+1 1.187594-2 9.015711+1 1.173608-2 9.660509+1 1.093186-2 9.772372+1 1.080329-2 9.885531+1 1.067624-2 1.000000+2 1.055069-2 1.011579+2 1.042770-2 1.059254+2 9.949897-3 1.083927+2 9.719273-3 1.148154+2 9.165822-3 1.174898+2 8.953369-3 1.303167+2 8.056650-3 1.396368+2 7.509315-3 1.496236+2 6.999158-3 1.603245+2 6.523775-3 1.717908+2 6.080700-3 1.737801+2 6.009835-3 1.757924+2 5.939800-3 1.778279+2 5.870585-3 1.798871+2 5.802185-3 1.883649+2 5.536707-3 1.905461+2 5.472257-3 1.927525+2 5.408568-3 1.972423+2 5.284321-3 2.018366+2 5.162932-3 2.065380+2 5.044328-3 2.213095+2 4.704616-3 2.264644+2 4.596543-3 2.600160+2 3.998280-3 2.786121+2 3.729018-3 2.985383+2 3.477888-3 3.198895+2 3.243705-3 3.427678+2 3.025297-3 3.467369+2 2.990353-3 3.507519+2 2.955814-3 3.548134+2 2.921674-3 3.589219+2 2.887932-3 3.758374+2 2.756891-3 3.801894+2 2.725070-3 3.845918+2 2.693620-3 3.935501+2 2.632097-3 4.027170+2 2.571980-3 4.120975+2 2.513235-3 4.415704+2 2.344930-3 4.518559+2 2.291371-3 5.188000+2 1.994752-3 5.559043+2 1.861169-3 1.188502+3 8.682639-4 1.273503+3 8.101233-4 1.364583+3 7.558772-4 1.380384+3 7.471961-4 1.396368+3 7.386149-4 1.412538+3 7.301318-4 1.428894+3 7.217472-4 1.496236+3 6.891695-4 1.513561+3 6.812578-4 1.531087+3 6.734372-4 3.054921+3 3.374040-4 3.126079+3 3.297201-4 3.198895+3 3.222111-4 3.273407+3 3.148731-4 3.507519+3 2.938468-4 3.589219+3 2.871548-4 4.120975+3 2.500845-4 4.415704+3 2.333846-4 1.000000+5 1.028994-5 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 8.390000-6 8.390000-6 9.600000-6 8.390000-6 9.600000-6 9.122314-6 1.079000-5 9.299285-6 1.079000-5 9.678976-6 1.216186-5 9.814780-6 1.388400-5 9.910328-6 1.698244-5 9.986294-6 2.660725-5 1.007096-5 4.168694-5 1.010845-5 5.315000-5 1.011317-5 5.315000-5 2.337359-5 5.370318-5 2.373700-5 5.432503-5 2.406665-5 5.500000-5 2.435578-5 5.570000-5 2.459572-5 5.754399-5 2.505559-5 5.900000-5 2.529243-5 6.165950-5 2.557157-5 6.326000-5 2.566229-5 6.326000-5 2.734904-5 6.480000-5 2.782867-5 6.601000-5 2.813910-5 6.601000-5 3.533210-5 6.621000-5 3.548566-5 6.621000-5 3.630632-5 6.720000-5 3.711298-5 6.870000-5 3.807833-5 7.079458-5 3.907811-5 7.350000-5 4.008453-5 7.673615-5 4.103900-5 8.650000-5 4.350191-5 9.070000-5 4.478086-5 9.440609-5 4.613284-5 9.812000-5 4.770369-5 9.812000-5 4.897809-5 1.050000-4 5.201446-5 1.122018-4 5.517803-5 1.170000-4 5.700942-5 1.220000-4 5.860451-5 1.273503-4 5.996691-5 1.330000-4 6.106642-5 1.412538-4 6.218248-5 1.513561-4 6.300735-5 1.659587-4 6.361899-5 1.905461-4 6.400435-5 2.540973-4 6.412947-5 2.822900-4 6.410023-5 2.822900-4 6.653309-5 2.917427-4 6.613488-5 2.970800-4 6.602339-5 2.970800-4 6.756451-5 3.180000-4 6.720916-5 3.410000-4 6.739969-5 3.740000-4 6.832759-5 4.415704-4 7.120164-5 4.662300-4 7.229160-5 4.662300-4 7.804999-5 5.460700-4 8.201194-5 5.460700-4 8.351471-5 6.480300-4 8.821398-5 6.480300-4 9.113370-5 7.500000-4 9.558630-5 8.609938-4 9.982213-5 9.885531-4 1.039955-4 1.161449-3 1.087678-4 1.333521-3 1.127225-4 1.531087-3 1.165503-4 1.757924-3 1.202094-4 1.970900-3 1.231181-4 1.970900-3 1.778252-4 2.044500-3 1.788666-4 2.044500-3 1.896115-4 2.238721-3 1.939945-4 2.371374-3 1.956014-4 2.451700-3 1.958491-4 2.451700-3 2.102336-4 2.790200-3 2.119035-4 2.790200-3 2.190749-4 3.030000-3 2.209206-4 3.030000-3 2.278279-4 4.000000-3 2.360459-4 5.188000-3 2.440584-4 6.683439-3 2.519353-4 8.511380-3 2.593733-4 1.087700-2 2.667108-4 1.087700-2 3.443280-4 1.242400-2 3.454113-4 1.242400-2 3.635457-4 1.295000-2 3.639333-4 1.295000-2 3.900755-4 1.800000-2 3.997544-4 2.511886-2 4.095215-4 3.427678-2 4.187638-4 4.677351-2 4.278588-4 6.456542-2 4.368823-4 7.406600-2 4.405379-4 7.406600-2 4.037136-4 1.862087-1 4.062250-4 5.308844-1 4.078496-4 1.000000+5 4.081284-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.390000-6 0.0 2.970800-4 0.0 2.970800-4 9.89488-10 3.007000-4 9.85324-10 3.022000-4 9.79766-10 3.035000-4 9.69149-10 3.065000-4 9.33186-10 3.090295-4 9.10230-10 3.130000-4 8.84601-10 3.180000-4 8.60136-10 3.225800-4 8.43495-10 3.273407-4 8.33070-10 3.320000-4 8.29930-10 3.370000-4 8.32667-10 3.410000-4 8.39329-10 3.467369-4 8.55845-10 3.530000-4 8.81769-10 3.589219-4 9.11556-10 3.650000-4 9.48652-10 3.740000-4 1.012961-9 3.850000-4 1.104363-9 3.935501-4 1.185823-9 4.050000-4 1.301128-9 4.265795-4 1.538965-9 4.518559-4 1.825244-9 4.662300-4 1.990559-9 4.662300-4 3.521064-9 5.128614-4 4.145328-9 5.460700-4 4.574575-9 5.460700-4 5.431429-9 6.100000-4 6.325110-9 6.480300-4 6.829941-9 6.480300-4 7.921441-9 7.120000-4 8.821666-9 7.762471-4 9.658821-9 8.609938-4 1.068090-8 9.332543-4 1.148074-8 1.011579-3 1.227506-8 1.110000-3 1.320263-8 1.244515-3 1.433130-8 1.400000-3 1.547958-8 1.566751-3 1.656082-8 1.737801-3 1.754733-8 1.970900-3 1.871862-8 1.970900-3 1.830445-8 2.044500-3 1.842417-8 2.044500-3 8.341903-6 2.113489-3 9.034280-6 2.163000-3 9.513785-6 2.187762-3 9.725869-6 2.230000-3 1.012401-5 2.264644-3 1.037735-5 2.320000-3 1.090380-5 2.371374-3 1.132247-5 2.426610-3 1.151202-5 2.451700-3 1.150252-5 2.451700-3 1.117180-5 2.790200-3 1.105971-5 2.790200-3 1.220891-5 3.030000-3 1.226527-5 3.030000-3 1.243185-5 3.630781-3 1.256957-5 4.897788-3 1.276329-5 6.839116-3 1.297590-5 9.549926-3 1.318199-5 1.087700-2 1.325620-5 1.087700-2 1.650867-3 1.161449-2 1.646786-3 1.242400-2 1.642312-3 1.242400-2 2.263995-3 1.295000-2 2.267569-3 1.295000-2 2.362762-3 1.690000-2 2.385747-3 2.511886-2 2.401899-3 4.365158-2 2.407380-3 7.406600-2 2.403416-3 7.406600-2 5.223532-2 8.810489-2 5.265442-2 1.122019-1 5.309282-2 1.566751-1 5.347715-2 2.630268-1 5.380999-2 7.413102-1 5.424299-2 1.216186+0 5.437927-2 1.000000+5 5.436819-2 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.390000-6 0.0 9.600000-6 1.210000-6 9.600000-6 4.776856-7 1.000000-5 8.128036-7 1.059254-5 1.318932-6 1.079000-5 1.490715-6 1.079000-5 1.111024-6 1.122018-5 1.491470-6 1.161449-5 1.846114-6 1.244515-5 2.609705-6 1.333521-5 3.448785-6 1.462177-5 4.686149-6 1.757924-5 7.583864-6 2.985383-5 1.976742-5 5.315000-5 4.303683-5 5.315000-5 2.977641-5 5.370318-5 2.996618-5 5.432503-5 3.025838-5 5.570000-5 3.110428-5 5.754399-5 3.248840-5 6.025596-5 3.481532-5 6.326000-5 3.759771-5 6.326000-5 3.591096-5 6.531306-5 3.734826-5 6.601000-5 3.787090-5 6.601000-5 3.067790-5 6.621000-5 3.072434-5 6.621000-5 2.990368-5 6.720000-5 3.008702-5 6.815000-5 3.039896-5 6.920000-5 3.084844-5 7.150000-5 3.213039-5 7.413102-5 3.385631-5 7.800000-5 3.664278-5 8.650000-5 4.299809-5 9.070000-5 4.591914-5 9.440609-5 4.827325-5 9.812000-5 5.041631-5 9.812000-5 4.914191-5 1.050000-4 5.298554-5 1.122018-4 5.702377-5 1.170000-4 5.999058-5 1.220000-4 6.339549-5 1.273503-4 6.738339-5 1.350000-4 7.361430-5 1.428894-4 8.054134-5 1.560000-4 9.274347-5 1.780000-4 1.141348-4 2.570396-4 1.929115-4 2.822900-4 2.181898-4 2.822900-4 2.157569-4 2.970800-4 2.310566-4 2.970800-4 2.295145-4 3.370000-4 2.696688-4 4.168694-4 3.467624-4 4.662300-4 3.939364-4 4.662300-4 3.881765-4 5.460700-4 4.640535-4 5.460700-4 4.625499-4 6.480300-4 5.598092-4 6.480300-4 5.568884-4 9.885531-4 8.845455-4 1.640590-3 1.522183-3 1.970900-3 1.847763-3 1.970900-3 1.793057-3 2.044500-3 1.865615-3 2.044500-3 1.846547-3 2.451700-3 2.244348-3 2.451700-3 2.230295-3 2.790200-3 2.567237-3 2.790200-3 2.558916-3 3.030000-3 2.796814-3 3.030000-3 2.789740-3 9.660509-3 9.384131-3 1.087700-2 1.059703-2 1.087700-2 8.881805-3 1.242400-2 1.043628-2 1.242400-2 9.796459-3 1.295000-2 1.031850-2 1.295000-2 1.019716-2 2.754229-2 2.472630-2 7.406600-2 7.122205-2 7.406600-2 2.142697-2 7.700000-2 2.422924-2 8.222426-2 2.929691-2 1.096478-1 5.618164-2 1.757924-1 1.218096-1 2.454709+0 2.399931+0 1.000000+5 9.999994+4 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 7.406600-2 2.428665+3 7.600000-2 2.275960+3 7.700000-2 2.208740+3 7.930000-2 2.043780+3 8.300000-2 1.826664+3 9.015711-2 1.471751+3 1.023293-1 1.063506+3 1.333521-1 5.280149+2 2.344229-1 1.167068+2 2.818383-1 7.173972+1 3.273407-1 4.861481+1 3.758374-1 3.417233+1 4.216965-1 2.562888+1 4.786301-1 1.880993+1 5.370318-1 1.429429+1 6.025596-1 1.093989+1 6.760830-1 8.432871+0 7.585776-1 6.547425+0 8.511380-1 5.121844+0 9.440609-1 4.134750+0 1.059254+0 3.284663+0 1.216186+0 2.508716+0 1.380384+0 1.974459+0 1.548817+0 1.599110+0 1.757924+0 1.278147+0 2.000000+0 1.025257+0 2.264644+0 8.350120-1 2.600160+0 6.698968-1 3.000000+0 5.375300-1 3.467369+0 4.332718-1 4.027170+0 3.492623-1 4.731513+0 2.790448-1 5.623413+0 2.211499-1 6.683439+0 1.766128-1 8.128305+0 1.379657-1 1.000000+1 1.071200-1 1.273503+1 8.048440-2 1.621810+1 6.096224-2 2.113489+1 4.533568-2 2.884032+1 3.229128-2 4.265795+1 2.127808-2 6.531306+1 1.363272-2 1.000000+2 8.794800-3 1.927525+2 4.508539-3 3.845918+2 2.245367-3 1.531087+3 5.613914-4 1.000000+5 8.578100-6 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 7.406600-2 3.944700-4 1.000000+5 3.944700-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 7.406600-2 6.474400-2 1.000000+5 6.474400-2 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 7.406600-2 8.927530-3 1.000000+5 9.999993+4 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.295000-2 8.956300+3 1.320000-2 8.658840+3 1.357000-2 8.267660+3 1.390000-2 7.926680+3 1.435000-2 7.530380+3 1.580000-2 6.334820+3 1.690000-2 5.636160+3 1.800000-2 5.017180+3 2.065380-2 3.867626+3 2.600160-2 2.449395+3 2.917427-2 1.929772+3 3.311311-2 1.479436+3 3.900000-2 1.037154+3 4.365158-2 8.076874+2 5.069907-2 5.753501+2 6.025596-2 3.851974+2 7.161434-2 2.554419+2 8.511380-2 1.679493+2 1.011580-1 1.095772+2 1.230269-1 6.702512+1 1.566751-1 3.620475+1 2.630268-1 9.594848+0 3.198895-1 5.848200+0 3.758374-1 3.916734+0 4.365158-1 2.718933+0 5.011872-1 1.955442+0 5.688529-1 1.456302+0 6.456542-1 1.092485+0 7.328245-1 8.257159-1 8.222427-1 6.447351-1 9.225714-1 5.072581-1 1.023293+0 4.116639-1 1.188502+0 3.069318-1 1.333521+0 2.464794-1 1.513561+0 1.950967-1 1.717908+0 1.556972-1 1.949845+0 1.252230-1 2.213095+0 1.014640-1 2.540973+0 8.128960-2 2.917427+0 6.562158-2 3.388442+0 5.244153-2 3.935501+0 4.222630-2 4.623810+0 3.370053-2 5.495409+0 2.668061-2 6.531306+0 2.128606-2 7.943282+0 1.661255-2 9.772372+0 1.288733-2 1.244515+1 9.674269-3 1.566751+1 7.418941-3 2.018366+1 5.582296-3 2.722701+1 4.021007-3 3.935501+1 2.711290-3 5.821032+1 1.797923-3 9.015711+1 1.144180-3 1.798871+2 5.658057-4 3.589219+2 2.816726-4 1.428894+3 7.039524-5 1.000000+5 1.003700-6 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.295000-2 5.573300-4 1.000000+5 5.573300-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.295000-2 2.971800-3 1.000000+5 2.971800-3 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.295000-2 9.420870-3 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.242400-2 1.780415+4 1.252000-2 1.754217+4 1.267000-2 1.700200+4 1.280000-2 1.661500+4 1.380384-2 1.373100+4 1.640590-2 8.766900+3 1.862087-2 6.235200+3 2.371374-2 3.210300+3 3.019952-2 1.617900+3 3.758374-2 8.582600+2 4.677351-2 4.502600+2 5.821032-2 2.341000+2 7.500000-2 1.088500+2 1.428894-1 1.531308+1 1.778279-1 7.920517+0 2.162719-1 4.423550+0 2.540973-1 2.757495+0 2.951209-1 1.791102+0 3.388442-1 1.211542+0 3.845918-1 8.526994-1 4.365158-1 6.047269-1 4.897788-1 4.457248-1 5.495409-1 3.309931-1 6.095369-1 2.549616-1 6.760830-1 1.977882-1 7.498942-1 1.545011-1 8.609938-1 1.120873-1 9.332543-1 9.359625-2 1.000000+0 8.075413-2 1.096478+0 6.695008-2 1.202264+0 5.589090-2 1.318257+0 4.697900-2 1.479108+0 3.810895-2 1.717908+0 2.919972-2 1.949845+0 2.347533-2 2.213095+0 1.902051-2 2.540973+0 1.524036-2 2.917427+0 1.230522-2 3.388442+0 9.834142-3 3.935501+0 7.918530-3 4.623810+0 6.319735-3 5.495409+0 5.003320-3 6.531306+0 3.991689-3 7.943282+0 3.115283-3 9.772372+0 2.416675-3 1.230269+1 1.838823-3 1.548817+1 1.409602-3 2.000000+1 1.057500-3 2.691535+1 7.635187-4 3.890451+1 5.146748-4 5.754399+1 3.412148-4 8.912509+1 2.171108-4 1.778279+2 1.073479-4 3.548134+2 5.343678-5 1.412538+3 1.335382-5 1.000000+5 1.882300-7 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.242400-2 4.104800-4 1.000000+5 4.104800-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.242400-2 3.873000-3 1.000000+5 3.873000-3 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.242400-2 8.140520-3 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.087700-2 4.056352+4 1.110000-2 3.829344+4 1.125000-2 3.700728+4 1.202264-2 3.092207+4 1.462177-2 1.796034+4 1.650000-2 1.270952+4 2.113489-2 6.178243+3 2.691535-2 2.990316+3 3.349654-2 1.527980+3 4.073803-2 8.291310+2 5.011872-2 4.298758+2 6.165950-2 2.210104+2 7.852356-2 1.008853+2 1.445440-1 1.374084+1 1.800000-1 6.749676+0 2.113489-1 4.038159+0 2.454709-1 2.519514+0 2.818383-1 1.642179+0 3.198895-1 1.117555+0 3.590900-1 7.921659-1 4.027170-1 5.674658-1 4.466836-1 4.227274-1 4.954502-1 3.171589-1 5.495409-1 2.398445-1 6.095369-1 1.827944-1 6.760830-1 1.404248-1 7.413102-1 1.118453-1 8.128305-1 8.966102-2 9.225714-1 6.677742-2 9.772372-1 5.870640-2 1.035142+0 5.192595-2 1.122018+0 4.407064-2 1.216186+0 3.768055-2 1.333521+0 3.173720-2 1.584893+0 2.328801-2 1.819701+0 1.826760-2 2.044000+0 1.499383-2 2.317395+0 1.220268-2 2.660725+0 9.801687-3 3.054921+0 7.931207-3 3.548134+0 6.353226-3 4.120975+0 5.127002-3 4.841724+0 4.100749-3 5.754399+0 3.253321-3 6.839116+0 2.600532-3 8.222427+0 2.062581-3 1.000000+1 1.624500-3 1.273503+1 1.220609-3 1.621810+1 9.244958-4 2.113489+1 6.875213-4 2.884032+1 4.896996-4 4.265795+1 3.226777-4 6.531306+1 2.067372-4 9.885531+1 1.349579-4 1.905461+2 6.917499-5 3.801894+2 3.444842-5 1.513561+3 8.612243-6 1.000000+5 1.300900-7 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.087700-2 3.927500-4 1.000000+5 3.927500-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.087700-2 2.672500-3 1.000000+5 2.672500-3 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.087700-2 7.811750-3 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 3.030000-3 2.583491+4 3.235937-3 2.379943+4 3.450000-3 2.181280+4 3.672823-3 2.009843+4 3.890451-3 1.849642+4 5.011872-3 1.266094+4 5.370318-3 1.135173+4 6.683439-3 7.896156+3 7.413102-3 6.596449+3 8.709636-3 4.954439+3 1.040000-2 3.572980+3 1.174898-2 2.836544+3 1.364583-2 2.123901+3 1.640590-2 1.473159+3 1.972423-2 1.011586+3 2.344229-2 7.049095+2 2.754229-2 4.993782+2 3.235937-2 3.511912+2 3.758374-2 2.516388+2 4.415704-2 1.745335+2 5.248075-2 1.169955+2 6.165950-2 7.996989+1 7.328245-2 5.281106+1 8.810489-2 3.365758+1 1.071519-1 2.068414+1 1.364583-1 1.124294+1 1.678804-1 6.627749+0 2.511886-1 2.364648+0 3.126079-1 1.360527+0 3.715352-1 8.854887-1 4.265795-1 6.320842-1 4.897788-1 4.543706-1 5.559043-1 3.380137-1 6.237348-1 2.599591-1 7.079458-1 1.962246-1 8.035261-1 1.492586-1 9.015711-1 1.171123-1 1.000000+0 9.483208-2 1.161449+0 7.061223-2 1.303167+0 5.663205-2 1.479108+0 4.476773-2 1.678804+0 3.567791-2 1.905461+0 2.865445-2 2.162719+0 2.318349-2 2.454709+0 1.889105-2 2.818383+0 1.522329-2 3.273407+0 1.214437-2 3.801894+0 9.762046-3 4.466836+0 7.777994-3 5.248075+0 6.243666-3 6.237348+0 4.971240-3 7.498942+0 3.928780-3 9.120108+0 3.083594-3 1.109175+1 2.437863-3 1.400000+1 1.856900-3 1.800000+1 1.395700-3 2.398833+1 1.015640-3 3.198895+1 7.439788-4 4.677351+1 4.972398-4 7.498942+1 3.042473-4 1.496236+2 1.501031-4 2.985383+2 7.463557-5 1.188502+3 1.863023-5 1.000000+5 2.208700-7 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 3.030000-3 3.874400-4 1.000000+5 3.874400-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.030000-3 1.628100-5 1.000000+5 1.628100-5 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.030000-3 2.626279-3 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 2.790200-3 4.163756+4 2.885000-3 4.037552+4 3.235937-3 3.526805+4 3.400000-3 3.309020+4 3.715352-3 2.922788+4 4.073803-3 2.553533+4 4.500000-3 2.188960+4 4.841724-3 1.940746+4 5.308844-3 1.651101+4 6.000000-3 1.325374+4 6.456542-3 1.153925+4 7.500000-3 8.594940+3 8.128305-3 7.294336+3 9.332543-3 5.449434+3 1.023293-2 4.460271+3 1.174898-2 3.272732+3 1.303167-2 2.576413+3 1.479108-2 1.910470+3 1.698244-2 1.365849+3 1.927525-2 9.963944+2 2.187762-2 7.220373+2 2.511886-2 5.043153+2 2.900000-2 3.445200+2 3.349654-2 2.333172+2 3.890451-2 1.545239+2 4.570882-2 9.840581+1 5.370318-2 6.221868+1 6.531306-2 3.536083+1 8.222426-2 1.803396+1 1.083927-1 7.972518+0 1.640590-1 2.333882+0 2.065380-1 1.187316+0 2.483133-1 6.962905-1 2.917427-1 4.397605-1 3.349654-1 2.986105-1 3.801894-1 2.107815-1 4.315191-1 1.498528-1 4.841724-1 1.106443-1 5.432503-1 8.226581-2 6.025596-1 6.341963-2 6.683439-1 4.924056-2 7.413102-1 3.849573-2 8.609938-1 2.723913-2 9.332543-1 2.276522-2 1.000000+0 1.964997-2 1.096478+0 1.629454-2 1.202264+0 1.360447-2 1.318257+0 1.143440-2 1.479108+0 9.273086-3 1.717908+0 7.104661-3 1.949845+0 5.711738-3 2.213095+0 4.627517-3 2.511886+0 3.775689-3 2.884032+0 3.046639-3 3.349654+0 2.433388-3 3.890451+0 1.958266-3 4.570882+0 1.562039-3 5.432503+0 1.236047-3 6.456542+0 9.856368-4 7.852356+0 7.688394-4 9.549926+0 6.045136-4 1.202264+1 4.595817-4 1.513561+1 3.520593-4 1.949845+1 2.646338-4 2.630268+1 1.904551-4 3.758374+1 1.298882-4 5.495409+1 8.709066-5 8.709636+1 5.407953-5 1.737801+2 2.673267-5 3.467369+2 1.330587-5 1.380384+3 3.324614-6 1.000000+5 4.579300-8 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 2.790200-3 3.368800-4 1.000000+5 3.368800-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.790200-3 3.108700-5 1.000000+5 3.108700-5 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.790200-3 2.422233-3 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.451700-3 1.274100+5 2.580000-3 1.176818+5 2.884032-3 9.927096+4 3.090295-3 8.865814+4 3.589219-3 6.859284+4 3.900000-3 5.920840+4 4.216965-3 5.121846+4 5.069907-3 3.571458+4 5.500000-3 3.027640+4 6.382635-3 2.209867+4 7.000000-3 1.807864+4 8.128305-3 1.291205+4 9.015711-3 1.015145+4 1.023293-2 7.511511+3 1.161449-2 5.509307+3 1.300000-2 4.155120+3 1.496236-2 2.897086+3 1.730000-2 1.976900+3 1.995262-2 1.345564+3 2.300000-2 9.093360+2 2.650000-2 6.103680+2 3.054921-2 4.058806+2 3.548134-2 2.620708+2 4.120975-2 1.679014+2 4.841724-2 1.031234+2 5.754399-2 6.066893+1 6.839116-2 3.543243+1 8.413951-2 1.843755+1 1.122019-1 7.371333+0 1.659587-1 2.111532+0 2.041738-1 1.096893+0 2.398833-1 6.633527-1 2.754229-1 4.339661-1 3.126079-1 2.961038-1 3.507519-1 2.105476-1 3.935501-1 1.507672-1 4.365158-1 1.123841-1 4.841724-1 8.434388-2 5.370318-1 6.376349-2 5.956621-1 4.856771-2 6.606935-1 3.727926-2 7.328245-1 2.883865-2 8.511380-1 2.012729-2 9.120108-1 1.714668-2 9.660509-1 1.508437-2 1.023293+0 1.334892-2 1.109175+0 1.132876-2 1.216186+0 9.463698-3 1.333521+0 7.966155-3 1.548817+0 6.085303-3 1.778279+0 4.767673-3 2.000000+0 3.899606-3 2.264644+0 3.176222-3 2.600160+0 2.548023-3 3.000000+0 2.044300-3 3.467369+0 1.647789-3 4.027170+0 1.328293-3 4.731513+0 1.061259-3 5.623413+0 8.410831-4 6.683439+0 6.716821-4 8.128305+0 5.246958-4 1.000000+1 4.074000-4 1.273503+1 3.060999-4 1.621810+1 2.318506-4 2.113489+1 1.724196-4 2.851018+1 1.243441-4 4.168694+1 8.291400-5 6.309573+1 5.373907-5 9.660509+1 3.464983-5 1.905461+2 1.734788-5 3.801894+2 8.639044-6 1.513561+3 2.159846-6 1.000000+5 3.262400-8 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.451700-3 3.012100-4 1.000000+5 3.012100-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.451700-3 9.080100-6 1.000000+5 9.080100-6 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.451700-3 2.141410-3 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.044500-3 2.315750+5 2.106000-3 2.435896+5 2.163000-3 2.537520+5 2.178000-3 2.555913+5 2.230000-3 2.636113+5 2.253500-3 2.652123+5 2.320000-3 2.684466+5 2.371374-3 2.684466+5 2.400000-3 2.642219+5 2.426610-3 2.597882+5 2.691535-3 1.986720+5 2.951209-3 1.555889+5 3.273407-3 1.172869+5 3.614600-3 8.883467+4 4.000000-3 6.638440+4 4.400000-3 5.027160+4 5.300000-3 2.868072+4 5.821032-3 2.146021+4 6.760830-3 1.340228+4 7.673615-3 8.911973+3 8.609938-3 6.116895+3 1.000000-2 3.713304+3 1.148154-2 2.321204+3 1.288250-2 1.559896+3 1.479108-2 9.613881+2 1.717908-2 5.643572+2 2.000000-2 3.258012+2 2.344229-2 1.820078+2 2.754229-2 9.999587+1 3.235937-2 5.454403+1 3.890451-2 2.706823+1 4.841724-2 1.167843+1 6.456542-2 3.827193+0 1.035142-1 6.116890-1 1.273503-1 2.752683-1 1.531088-1 1.363173-1 1.778279-1 7.747729-2 2.089296-1 4.251515-2 2.344229-1 2.785760-2 2.600160-1 1.917301-2 2.851018-1 1.384828-2 3.273407-1 8.542159-3 3.630781-1 5.985281-3 4.027170-1 4.222068-3 4.466836-1 3.000113-3 4.954502-1 2.148109-3 5.432503-1 1.606381-3 5.956621-1 1.210075-3 6.456542-1 9.526774-4 7.079458-1 7.306052-4 8.035261-1 5.126398-4 8.609938-1 4.211476-4 9.120108-1 3.597701-4 9.549926-1 3.189951-4 1.000000+0 2.846344-4 1.047129+0 2.558546-4 1.096478+0 2.316367-4 1.148154+0 2.109910-4 1.216186+0 1.890562-4 1.318257+0 1.634213-4 1.531087+0 1.263028-4 1.840772+0 9.131669-5 2.044000+0 7.640441-5 2.317395+0 6.217604-5 2.660725+0 4.994258-5 3.054921+0 4.041352-5 3.548134+0 3.237313-5 4.120975+0 2.612493-5 4.841724+0 2.089553-5 5.754399+0 1.657723-5 6.839116+0 1.325089-5 8.222427+0 1.051014-5 1.011579+1 8.164318-6 1.288250+1 6.136576-6 1.640590+1 4.649716-6 2.137962+1 3.459052-6 2.884032+1 2.495266-6 4.216965+1 1.664309-6 6.382635+1 1.078913-6 9.772372+1 6.957922-7 1.905461+2 3.524817-7 3.801894+2 1.755317-7 1.513561+3 4.388376-8 1.000000+5 6.62860-10 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.044500-3 2.260900-4 1.000000+5 2.260900-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.044500-3 3.660000-5 1.000000+5 3.660000-5 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.044500-3 1.781810-3 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 1.970900-3 5.179736+5 2.043000-3 4.951460+5 2.180000-3 4.626294+5 2.220000-3 4.529425+5 2.238721-3 4.475354+5 2.260000-3 4.425624+5 2.511886-3 3.362769+5 2.800000-3 2.514486+5 3.090295-3 1.917317+5 3.427678-3 1.430890+5 3.845918-3 1.024714+5 4.216965-3 7.815774+4 4.677351-3 5.706325+4 5.308844-3 3.866224+4 5.956621-3 2.687772+4 6.683439-3 1.859215+4 7.673615-3 1.183018+4 8.609938-3 8.061250+3 9.800000-3 5.197740+3 1.122018-2 3.257756+3 1.273503-2 2.088437+3 1.450000-2 1.314720+3 1.659587-2 8.065522+2 1.905461-2 4.856078+2 2.187762-2 2.903467+2 2.511886-2 1.724243+2 2.917427-2 9.737526+1 3.427678-2 5.223625+1 4.027170-2 2.782944+1 4.897788-2 1.285994+1 6.382635-2 4.484485+0 1.035142-1 6.507138-1 1.258925-1 2.998874-1 1.479108-1 1.595164-1 1.717908-1 8.934997-2 1.949845-1 5.510961-2 2.041738-1 4.639118-2 2.371374-1 2.667133-2 2.630268-1 1.830934-2 2.917427-1 1.266015-2 3.235937-1 8.820395-3 3.548134-1 6.440638-3 3.890451-1 4.735708-3 4.265795-1 3.508673-3 4.677351-1 2.620010-3 5.069907-1 2.042720-3 5.495409-1 1.603076-3 6.025596-1 1.224233-3 6.606935-1 9.411762-4 7.161434-1 7.527009-4 7.762471-1 6.060132-4 8.511380-1 4.755646-4 9.015711-1 4.110634-4 9.549926-1 3.577959-4 1.000000+0 3.220962-4 1.059254+0 2.845315-4 1.135011+0 2.470958-4 1.216186+0 2.161220-4 1.318257+0 1.861897-4 1.798871+0 1.075038-4 2.018366+0 8.830872-5 2.290868+0 7.168695-5 2.630268+0 5.754600-5 3.019952+0 4.653971-5 3.507519+0 3.725781-5 4.073803+0 3.005017-5 4.786301+0 2.402261-5 5.688529+0 1.904809-5 6.760830+0 1.521914-5 8.128305+0 1.206519-5 1.000000+1 9.368200-6 1.273503+1 7.038637-6 1.621810+1 5.331261-6 2.113489+1 3.964784-6 2.851018+1 2.859165-6 4.216965+1 1.883524-6 6.382635+1 1.221075-6 9.772372+1 7.874529-7 1.905461+2 3.989131-7 3.801894+2 1.986542-7 1.513561+3 4.966445-8 1.000000+5 7.50180-10 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 1.970900-3 2.111700-4 1.000000+5 2.111700-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.970900-3 1.805200-8 1.000000+5 1.805200-8 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 1.970900-3 1.759712-3 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 6.480300-4 5.929000+4 6.850000-4 5.759210+4 7.120000-4 5.606460+4 7.413102-4 5.411044+4 7.730000-4 5.240300+4 8.912509-4 4.624118+4 9.332543-4 4.420800+4 1.135011-3 3.563807+4 1.230269-3 3.238485+4 1.428894-3 2.675647+4 1.584893-3 2.331055+4 1.819701-3 1.919196+4 2.041738-3 1.623029+4 2.400000-3 1.269640+4 2.722701-3 1.040776+4 3.162278-3 8.164394+3 3.758374-3 6.112828+3 4.466836-3 4.534990+3 5.370318-3 3.268129+3 6.382635-3 2.384507+3 7.585776-3 1.727571+3 9.120108-3 1.215969+3 1.109175-2 8.305101+2 1.333521-2 5.756296+2 1.600000-2 3.974920+2 1.905461-2 2.766330+2 2.264644-2 1.919790+2 2.691535-2 1.322282+2 3.198895-2 9.040601+1 3.801894-2 6.136260+1 4.518559-2 4.133691+1 5.370318-2 2.763733+1 6.382635-2 1.834233+1 7.673615-2 1.175584+1 9.120108-2 7.688812+0 1.135011-1 4.453679+0 1.479108-1 2.280052+0 2.511886-1 5.889097-1 3.126079-1 3.389534-1 3.715352-1 2.206579-1 4.265795-1 1.575346-1 4.897788-1 1.132540-1 5.559043-1 8.425473-2 6.237348-1 6.479570-2 7.079458-1 4.890350-2 8.035261-1 3.719640-2 9.015711-1 2.918953-2 1.000000+0 2.363900-2 1.161449+0 1.760265-2 1.303167+0 1.411752-2 1.479108+0 1.115964-2 1.678804+0 8.893447-3 1.905461+0 7.142673-3 2.162719+0 5.779165-3 2.454709+0 4.709146-3 2.818383+0 3.794723-3 3.273407+0 3.027191-3 3.801894+0 2.433378-3 4.466836+0 1.938853-3 5.308844+0 1.532548-3 6.309573+0 1.220817-3 7.673615+0 9.514136-4 9.332543+0 7.474075-4 1.161449+1 5.754916-4 1.462177+1 4.403490-4 1.883649+1 3.306613-4 2.511886+1 2.407628-4 3.388442+1 1.743876-4 4.954502+1 1.166819-4 8.035261+1 7.062892-5 1.603245+2 3.488057-5 3.198895+2 1.735206-5 1.273503+3 4.333345-6 1.000000+5 5.505800-8 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 6.480300-4 2.215100-4 1.000000+5 2.215100-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 6.480300-4 5.666100-8 1.000000+5 5.666100-8 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 6.480300-4 4.264633-4 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 5.460700-4 4.908504+4 6.350000-4 4.859384+4 7.244360-4 4.767617+4 7.762471-4 4.673692+4 8.511380-4 4.508686+4 9.200000-4 4.341540+4 9.885531-4 4.165453+4 1.050000-3 3.998640+4 1.135011-3 3.762404+4 1.244515-3 3.474942+4 1.333521-3 3.255535+4 1.450000-3 2.984580+4 1.610000-3 2.655520+4 1.757924-3 2.389893+4 1.950000-3 2.092480+4 2.150000-3 1.834334+4 2.371374-3 1.594890+4 2.650000-3 1.351330+4 2.951209-3 1.141666+4 3.273407-3 9.645199+3 3.672823-3 7.935774+3 4.120975-3 6.481349+3 4.623810-3 5.255666+3 5.188000-3 4.231855+3 5.821032-3 3.384928+3 6.606934-3 2.627954+3 7.500000-3 2.024160+3 8.609938-3 1.510582+3 9.800000-3 1.138904+3 1.109175-2 8.632090+2 1.258925-2 6.456060+2 1.428894-2 4.794272+2 1.640590-2 3.437952+2 1.862087-2 2.516599+2 2.137962-2 1.777179+2 2.454709-2 1.245803+2 2.818383-2 8.671496+1 3.273407-2 5.811877+1 3.801894-2 3.866475+1 4.466836-2 2.474079+1 5.248075-2 1.571624+1 6.309573-2 9.280363+0 7.852356-2 4.923128+0 1.023293-1 2.265872+0 1.678804-1 5.260679-1 2.089296-1 2.777200-1 2.511886-1 1.633176-1 2.951209-1 1.033811-1 3.427678-1 6.811439-2 3.890451-1 4.817864-2 4.415705-1 3.432467-2 5.000000-1 2.480141-2 5.623413-1 1.838167-2 6.237348-1 1.420931-2 6.918310-1 1.105747-2 7.673615-1 8.662981-3 8.709636-1 6.472287-3 9.440609-1 5.415305-3 1.011579+0 4.680202-3 1.109175+0 3.884706-3 1.216186+0 3.245872-3 1.333521+0 2.730220-3 1.531087+0 2.125704-3 1.757924+0 1.664293-3 1.995262+0 1.339983-3 2.264644+0 1.087311-3 2.600160+0 8.723148-4 3.000000+0 6.998100-4 3.467369+0 5.640757-4 4.027170+0 4.547058-4 4.731513+0 3.632941-4 5.623413+0 2.879196-4 6.683439+0 2.299329-4 8.128305+0 1.796138-4 1.000000+1 1.394600-4 1.273503+1 1.047824-4 1.621810+1 7.936626-5 2.113489+1 5.902321-5 2.851018+1 4.256493-5 4.216965+1 2.804063-5 6.382635+1 1.817768-5 9.772372+1 1.172260-5 1.905461+2 5.938571-6 3.801894+2 2.957344-6 1.513561+3 7.393476-7 1.000000+5 1.116800-8 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 5.460700-4 1.868400-4 1.000000+5 1.868400-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 5.460700-4 6.434600-8 1.000000+5 6.434600-8 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 5.460700-4 3.591657-4 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 4.662300-4 2.341169+5 5.370318-4 2.195784+5 5.559043-4 2.149105+5 6.350000-4 1.954992+5 7.079458-4 1.785325+5 7.762471-4 1.642410+5 8.511380-4 1.500484+5 9.225714-4 1.375901+5 1.035142-3 1.203467+5 1.135011-3 1.074748+5 1.244515-3 9.526046+4 1.400000-3 8.102320+4 1.531087-3 7.120303+4 1.737801-3 5.882325+4 1.927525-3 4.995541+4 2.187762-3 4.058905+4 2.454709-3 3.334188+4 2.754229-3 2.720894+4 3.150000-3 2.127668+4 3.548134-3 1.697611+4 3.981072-3 1.355787+4 4.518559-3 1.050875+4 5.188000-3 7.889003+3 5.956621-3 5.869969+3 6.839116-3 4.329676+3 7.852356-3 3.166218+3 8.912509-3 2.358900+3 1.011579-2 1.745166+3 1.148154-2 1.281944+3 1.303167-2 9.351229+2 1.496236-2 6.574089+2 1.698244-2 4.724822+2 1.927525-2 3.372180+2 2.213095-2 2.316466+2 2.540973-2 1.579147+2 2.917427-2 1.068603+2 3.349654-2 7.179839+1 3.890451-2 4.631391+1 4.518559-2 2.965008+1 5.308844-2 1.820227+1 6.309573-2 1.070730+1 7.673615-2 5.819509+0 9.660509-2 2.815389+0 1.757924-1 4.199661-1 2.113489-1 2.353060-1 2.483133-1 1.427383-1 2.851018-1 9.364785-2 3.235937-1 6.407812-2 3.630781-1 4.568723-2 4.073803-1 3.281011-2 4.518559-1 2.452351-2 5.011872-1 1.845486-2 5.559043-1 1.398877-2 6.165950-1 1.068450-2 6.839117-1 8.226673-3 7.585776-1 6.384747-3 8.609938-1 4.719646-3 9.225714-1 4.026590-3 9.772372-1 3.547134-3 1.047129+0 3.069483-3 1.135011+0 2.610024-3 1.244515+0 2.184388-3 1.380384+0 1.803655-3 1.698244+0 1.245917-3 1.927525+0 1.000772-3 2.187762+0 8.102440-4 2.511886+0 6.487062-4 2.884032+0 5.233643-4 3.349654+0 4.180025-4 3.890451+0 3.363919-4 4.570882+0 2.683241-4 5.432503+0 2.123214-4 6.456542+0 1.693078-4 7.852356+0 1.320716-4 9.549926+0 1.038423-4 1.202264+1 7.894507-5 1.513561+1 6.047653-5 1.949845+1 4.545708-5 2.630268+1 3.271627-5 3.758374+1 2.231093-5 5.559043+1 1.478177-5 8.810489+1 9.180831-6 1.757924+2 4.538708-6 3.507519+2 2.259178-6 1.396368+3 5.645405-7 1.000000+5 7.866100-9 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 4.662300-4 1.743900-4 1.000000+5 1.743900-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 4.662300-4 2.912700-8 1.000000+5 2.912700-8 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 4.662300-4 2.918109-4 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 2.970800-4 1.584001+5 3.007000-4 1.562258+5 3.022000-4 1.547258+5 3.035000-4 1.525040+5 3.065000-4 1.456180+5 3.090295-4 1.410915+5 3.130000-4 1.355996+5 3.180000-4 1.300392+5 3.225800-4 1.260013+5 3.273407-4 1.229040+5 3.320000-4 1.208836+5 3.370000-4 1.196960+5 3.410000-4 1.193988+5 3.467369-4 1.198655+5 3.522600-4 1.211663+5 3.589219-4 1.236504+5 3.650000-4 1.266148+5 3.740000-4 1.320068+5 3.850000-4 1.399252+5 4.168694-4 1.668905+5 4.280000-4 1.761328+5 4.430000-4 1.876980+5 4.570882-4 1.976164+5 4.731513-4 2.077863+5 4.897788-4 2.170447+5 5.069907-4 2.250792+5 5.248075-4 2.317117+5 5.450000-4 2.374064+5 5.650000-4 2.414228+5 5.888437-4 2.443704+5 6.100000-4 2.454248+5 6.382635-4 2.450219+5 6.700000-4 2.428020+5 7.000000-4 2.393852+5 7.328245-4 2.343930+5 7.673615-4 2.280303+5 8.128305-4 2.186560+5 8.609938-4 2.082369+5 9.120108-4 1.969731+5 9.700000-4 1.841812+5 1.035142-3 1.703228+5 1.110000-3 1.555316+5 1.188502-3 1.412375+5 1.288250-3 1.249658+5 1.380384-3 1.118365+5 1.479108-3 9.945169+4 1.610000-3 8.547560+4 1.737801-3 7.408294+4 1.905461-3 6.181853+4 2.070000-3 5.217240+4 2.264644-3 4.306709+4 2.469000-3 3.557461+4 2.722701-3 2.842440+4 2.985383-3 2.284112+4 3.300000-3 1.787172+4 3.672823-3 1.363151+4 4.073803-3 1.040357+4 4.466836-3 8.131158+3 4.954502-3 6.120112+3 5.559043-3 4.426586+3 6.237348-3 3.174707+3 6.918310-3 2.337817+3 7.762471-3 1.651457+3 8.709636-3 1.157820+3 9.660509-3 8.360055+2 1.095000-2 5.592248+2 1.230269-2 3.819764+2 1.396368-2 2.503907+2 1.584893-2 1.628401+2 1.798871-2 1.051098+2 2.041738-2 6.737420+1 2.344229-2 4.116760+1 2.722701-2 2.394939+1 3.162278-2 1.382668+1 3.715352-2 7.594270+0 4.415704-2 3.966464+0 5.432503-2 1.804324+0 7.244360-2 5.985163-1 1.109175-1 1.164179-1 1.364583-1 5.283744-2 1.678804-1 2.417491-2 1.949845-1 1.384200-2 2.213095-1 8.697745-3 2.511886-1 5.504586-3 2.851018-1 3.510392-3 3.198895-1 2.348413-3 3.589219-1 1.582563-3 4.000000-1 1.099586-3 4.415705-1 7.941793-4 4.897788-1 5.687424-4 5.432503-1 4.102051-4 5.956621-1 3.090460-4 6.456542-1 2.432037-4 7.079458-1 1.863898-4 8.035261-1 1.307218-4 8.609938-1 1.074777-4 9.120108-1 9.188224-5 9.549926-1 8.151519-5 1.000000+0 7.277076-5 1.047129+0 6.543687-5 1.096478+0 5.925651-5 1.148154+0 5.398107-5 1.216186+0 4.836968-5 1.318257+0 4.180554-5 1.531087+0 3.229730-5 1.840772+0 2.335062-5 2.044000+0 1.953800-5 2.317395+0 1.590001-5 2.660725+0 1.277220-5 3.054921+0 1.033565-5 3.548134+0 8.279182-6 4.120975+0 6.681108-6 4.841724+0 5.343702-6 5.754399+0 4.239462-6 6.839116+0 3.388853-6 8.222427+0 2.687754-6 1.011579+1 2.087884-6 1.288250+1 1.569388-6 1.640590+1 1.189120-6 2.137962+1 8.846071-7 2.884032+1 6.381358-7 4.265795+1 4.204853-7 6.531306+1 2.694066-7 1.011579+2 1.717644-7 1.972423+2 8.704568-8 3.935501+2 4.335569-8 3.126079+3 5.428822-9 1.000000+5 1.69520-10 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 2.970800-4 1.257300-4 1.000000+5 1.257300-4 1 76000 7 7 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.970800-4 3.833500-8 1.000000+5 3.833500-8 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 2.970800-4 1.713117-4 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 2.822900-4 2.563716+5 2.836000-4 2.468346+5 2.855000-4 2.353524+5 2.870000-4 2.278368+5 2.890000-4 2.194680+5 2.917427-4 2.102334+5 2.951209-4 2.012197+5 2.995000-4 1.918674+5 3.030000-4 1.858392+5 3.065000-4 1.811304+5 3.100000-4 1.777446+5 3.140000-4 1.753698+5 3.180000-4 1.744092+5 3.220000-4 1.746840+5 3.260000-4 1.760322+5 3.311311-4 1.790772+5 3.370000-4 1.839798+5 3.430000-4 1.901286+5 3.530000-4 2.020776+5 3.672823-4 2.216758+5 3.935501-4 2.621676+5 4.050000-4 2.793444+5 4.168694-4 2.959394+5 4.280000-4 3.101904+5 4.415704-4 3.258709+5 4.570882-4 3.416661+5 4.731513-4 3.557323+5 4.897788-4 3.677499+5 5.080000-4 3.779118+5 5.248075-4 3.848097+5 5.450000-4 3.905490+5 5.650000-4 3.937440+5 5.900000-4 3.946128+5 6.200000-4 3.923004+5 6.531306-4 3.867444+5 6.850000-4 3.790488+5 7.161434-4 3.697144+5 7.500000-4 3.581646+5 7.943282-4 3.419682+5 8.413951-4 3.243370+5 8.912509-4 3.054976+5 9.549926-4 2.819657+5 1.023293-3 2.582929+5 1.096478-3 2.348103+5 1.174898-3 2.119777+5 1.270000-3 1.875372+5 1.364583-3 1.662975+5 1.479108-3 1.443090+5 1.603245-3 1.243120+5 1.757924-3 1.039369+5 1.905461-3 8.824974+4 2.089296-3 7.262720+4 2.264644-3 6.085014+4 2.511886-3 4.806181+4 2.754229-3 3.865364+4 3.000000-3 3.139848+4 3.349654-3 2.380094+4 3.715352-3 1.818726+4 4.073803-3 1.422643+4 4.500000-3 1.084002+4 5.011872-3 8.014041+3 5.623413-3 5.753438+3 6.309573-3 4.096137+3 7.000000-3 2.993898+3 7.800000-3 2.144616+3 8.709636-3 1.515845+3 9.772372-3 1.047361+3 1.096478-2 7.183553+2 1.230269-2 4.890967+2 1.380384-2 3.306653+2 1.548817-2 2.220349+2 1.757924-2 1.421907+2 2.000000-2 8.961600+1 2.290868-2 5.469856+1 2.630268-2 3.284730+1 3.054921-2 1.875348+1 3.548134-2 1.062552+1 4.168694-2 5.719974+0 5.011872-2 2.795810+0 6.309573-2 1.132242+0 1.096478-1 1.276797-1 1.348963-1 5.661087-2 1.566751-1 3.167333-2 1.798871-1 1.866411-2 2.018366-1 1.209117-2 2.264644-1 7.891534-3 2.511886-1 5.410615-3 2.786121-1 3.734673-3 3.090295-1 2.596285-3 3.427678-1 1.818607-3 3.758374-1 1.334572-3 4.120975-1 9.862316-4 4.518559-1 7.342389-4 4.897788-1 5.709098-4 5.308844-1 4.468782-4 5.754399-1 3.521463-4 6.165950-1 2.887301-4 6.683439-1 2.305957-4 7.244360-1 1.853596-4 8.609938-1 1.176570-4 9.120108-1 1.016951-4 9.660509-1 8.852701-5 1.011579+0 7.972961-5 1.071519+0 7.045768-5 1.135011+0 6.265686-5 1.216186+0 5.480839-5 1.318257+0 4.723800-5 1.819701+0 2.676280-5 2.044000+0 2.195700-5 2.317395+0 1.786798-5 2.660725+0 1.435303-5 3.054921+0 1.161509-5 3.548134+0 9.304085-6 4.120975+0 7.508224-6 4.841724+0 6.005284-6 5.754399+0 4.764386-6 6.839116+0 3.808409-6 8.222427+0 3.020536-6 1.011579+1 2.346383-6 1.288250+1 1.763635-6 1.640590+1 1.336302-6 2.162719+1 9.815831-7 2.917427+1 7.083212-7 4.315191+1 4.668473-7 6.683439+1 2.956154-7 1.059254+2 1.841487-7 2.018366+2 9.556919-8 4.027170+2 4.760675-8 3.198895+3 5.961958-9 1.000000+5 1.90510-10 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 2.822900-4 1.230800-4 1.000000+5 1.230800-4 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 2.822900-4 1.592100-4 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 6.621000-5 2.034084+5 6.650000-5 2.119920+5 6.683439-5 2.206039+5 6.720000-5 2.291166+5 6.770000-5 2.393694+5 6.815000-5 2.474142+5 6.870000-5 2.559960+5 6.920000-5 2.628240+5 6.998420-5 2.717192+5 7.079458-5 2.790695+5 7.161434-5 2.850454+5 7.270000-5 2.910312+5 7.400000-5 2.958588+5 7.500000-5 2.981958+5 7.673615-5 3.002579+5 7.900000-5 3.005058+5 8.317638-5 2.991597+5 8.511380-5 2.996716+5 8.709636-5 3.018652+5 8.900000-5 3.061344+5 9.070000-5 3.120270+5 9.230000-5 3.195642+5 9.400000-5 3.298164+5 9.588400-5 3.439845+5 9.800000-5 3.633480+5 1.000900-4 3.860387+5 1.023293-4 4.140062+5 1.050000-4 4.519050+5 1.100000-4 5.342406+5 1.190000-4 7.114020+5 1.244515-4 8.327707+5 1.303167-4 9.728119+5 1.350000-4 1.090020+6 1.400000-4 1.218282+6 1.450000-4 1.347168+6 1.500000-4 1.473822+6 1.548817-4 1.592818+6 1.600000-4 1.710936+6 1.650000-4 1.818042+6 1.705000-4 1.925298+6 1.760000-4 2.021556+6 1.820000-4 2.115186+6 1.883649-4 2.203170+6 1.950000-4 2.283552+6 2.018366-4 2.354378+6 2.089296-4 2.414197+6 2.178800-4 2.472027+6 2.264644-4 2.508748+6 2.350000-4 2.528640+6 2.454709-4 2.533659+6 2.570396-4 2.519385+6 2.691535-4 2.487774+6 2.818383-4 2.441412+6 2.951209-4 2.382078+6 3.100000-4 2.305344+6 3.235937-4 2.227600+6 3.388442-4 2.134255+6 3.589219-4 2.007223+6 3.801894-4 1.873950+6 4.027170-4 1.737317+6 4.280000-4 1.591128+6 4.518559-4 1.461532+6 4.786301-4 1.326274+6 5.128614-4 1.171004+6 5.432503-4 1.049406+6 5.800000-4 9.195180+5 6.200000-4 7.980180+5 6.683439-4 6.746018+5 7.161434-4 5.744206+5 7.673615-4 4.855326+5 8.222426-4 4.081296+5 9.015711-4 3.208863+5 9.700000-4 2.632518+5 1.059254-3 2.059954+5 1.161449-3 1.580430+5 1.273503-3 1.202581+5 1.380384-3 9.411931+4 1.500000-3 7.268160+4 1.650000-3 5.366598+4 1.819701-3 3.900315+4 2.018366-3 2.761028+4 2.238721-3 1.938767+4 2.483133-3 1.352052+4 2.754229-3 9.364322+3 3.054921-3 6.440916+3 3.388442-3 4.398938+3 3.801894-3 2.857772+3 4.265795-3 1.842233+3 4.786301-3 1.178731+3 5.370318-3 7.487491+2 6.025596-3 4.723284+2 6.839116-3 2.823835+2 7.762471-3 1.674996+2 8.810489-3 9.856691+1 1.000000-2 5.753802+1 1.135011-2 3.332505+1 1.288250-2 1.916013+1 1.479108-2 1.039443+1 1.698244-2 5.595848+0 1.995262-2 2.695326+0 2.371374-2 1.223420+0 2.851018-2 5.227347-1 3.349654-2 2.464949-1 4.265795-2 7.909538-2 7.328245-2 6.150654-3 9.015711-2 2.328017-3 1.047129-1 1.161047-3 1.230269-1 5.529882-4 1.428894-1 2.796832-4 1.678804-1 1.351619-4 1.883649-1 8.099433-5 2.041738-1 5.690566-5 2.264644-1 3.645192-5 2.511886-1 2.352593-5 2.786121-1 1.529302-5 3.090295-1 1.001048-5 3.427678-1 6.598062-6 3.758374-1 4.585946-6 4.073803-1 3.356523-6 4.466836-1 2.368854-6 4.954502-1 1.612649-6 5.432503-1 1.149694-6 5.821032-1 8.970383-7 6.025596-1 7.946043-7 6.382635-1 6.551019-7 6.839117-1 5.231805-7 7.498942-1 3.909851-7 8.000000-1 3.198600-7 8.511380-1 2.600725-7 8.912509-1 2.241996-7 9.225714-1 2.014747-7 9.549926-1 1.819259-7 9.885531-1 1.652142-7 1.023293+0 1.510308-7 1.059254+0 1.389550-7 1.096478+0 1.285778-7 1.135011+0 1.195776-7 1.188502+0 1.092780-7 1.258925+0 9.845651-8 1.348963+0 8.749101-8 1.500000+0 7.372700-8 1.905461+0 4.844417-8 2.089296+0 4.147102-8 2.371374+0 3.373089-8 2.722701+0 2.712865-8 3.162278+0 2.160119-8 3.672823+0 1.733387-8 4.265795+0 1.401080-8 5.011872+0 1.122389-8 5.956621+0 8.918474-9 7.161434+0 7.035407-9 8.609938+0 5.589995-9 1.047129+1 4.410373-9 1.318257+1 3.363437-9 1.698244+1 2.517467-9 2.238721+1 1.851006-9 3.019952+1 1.336946-9 4.415704+1 8.92542-10 6.918310+1 5.58705-10 1.174898+2 3.24472-10 2.264644+2 1.66638-10 4.518559+2 8.30633-11 3.589219+3 1.04077-11 1.000000+5 3.73170-13 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 6.621000-5 6.621000-5 1.000000+5 6.621000-5 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 6.621000-5 0.0 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 6.326000-5 3.069808+5 6.350000-5 3.165696+5 6.390000-5 3.301360+5 6.430000-5 3.420072+5 6.480000-5 3.547400+5 6.531306-5 3.659430+5 6.600000-5 3.782800+5 6.683439-5 3.902345+5 6.770000-5 3.997384+5 6.880000-5 4.085200+5 7.000000-5 4.149520+5 7.150000-5 4.196120+5 7.328245-5 4.217253+5 7.585776-5 4.210262+5 8.035261-5 4.181376+5 8.230000-5 4.190872+5 8.413951-5 4.223715+5 8.570000-5 4.274264+5 8.730000-5 4.350920+5 8.900000-5 4.462504+5 9.070000-5 4.607008+5 9.230000-5 4.773960+5 9.400000-5 4.984352+5 9.580000-5 5.243456+5 9.800000-5 5.608752+5 1.000000-4 5.984136+5 1.035142-4 6.732638+5 1.150000-4 9.775680+5 1.205000-4 1.147048+6 1.260000-4 1.328168+6 1.318257-4 1.529671+6 1.364583-4 1.693910+6 1.412538-4 1.864347+6 1.462177-4 2.037510+6 1.513561-4 2.209368+6 1.560000-4 2.355752+6 1.603245-4 2.483086+6 1.659587-4 2.635066+6 1.720000-4 2.780472+6 1.780000-4 2.907712+6 1.850000-4 3.036328+6 1.930000-4 3.160000+6 2.018366-4 3.270692+6 2.089296-4 3.338701+6 2.162719-4 3.391510+6 2.238721-4 3.427843+6 2.330000-4 3.448136+6 2.426610-4 3.445175+6 2.540973-4 3.416603+6 2.660725-4 3.366415+6 2.800000-4 3.289384+6 2.951209-4 3.187741+6 3.100000-4 3.074056+6 3.273407-4 2.930365+6 3.430000-4 2.794224+6 3.630781-4 2.617371+6 3.850000-4 2.429840+6 4.073803-4 2.247297+6 4.315191-4 2.060187+6 4.600000-4 1.855616+6 4.897788-4 1.661640+6 5.248075-4 1.459694+6 5.559043-4 1.302893+6 5.900000-4 1.150824+6 6.350000-4 9.801120+5 6.839116-4 8.265870+5 7.328245-4 7.011160+5 7.852356-4 5.903503+5 8.511380-4 4.799503+5 9.332543-4 3.753005+5 1.011579-3 3.001983+5 1.083927-3 2.468048+5 1.190000-3 1.879272+5 1.318257-3 1.380906+5 1.450000-3 1.028104+5 1.603245-3 7.471481+4 1.757924-3 5.535930+4 1.927525-3 4.075742+4 2.113489-3 2.983993+4 2.344229-3 2.085407+4 2.600160-3 1.446445+4 2.884032-3 9.960253+3 3.198895-3 6.812099+3 3.548134-3 4.628225+3 3.981072-3 2.989505+3 4.466836-3 1.916279+3 5.011872-3 1.219159+3 5.623413-3 7.699652+2 6.382635-3 4.608373+2 7.161434-3 2.869977+2 8.035261-3 1.775256+2 9.015711-3 1.090818+2 1.011579-2 6.657621+1 1.148154-2 3.837540+1 1.303167-2 2.195251+1 1.531087-2 1.069195+1 1.778279-2 5.434683+0 2.065380-2 2.741836+0 2.398833-2 1.373424+0 2.660725-2 8.467512-1 3.162450-2 3.748674-1 3.890451-2 1.398993-1 7.161434-2 7.546583-3 8.810489-2 2.817916-3 1.047129-1 1.248743-3 1.216186-1 6.211231-4 1.396368-1 3.282539-4 1.640590-1 1.572604-4 1.819701-1 9.862870-5 1.995262-1 6.556114-5 2.162719-1 4.614361-5 2.371374-1 3.113062-5 2.600160-1 2.116179-5 2.818383-1 1.519702-5 3.090295-1 1.048740-5 3.388442-1 7.292244-6 3.758374-1 4.881462-6 4.073803-1 3.595309-6 4.415705-1 2.667669-6 4.677351-1 2.167562-6 5.011872-1 1.700421-6 5.370318-1 1.342202-6 5.821032-1 1.025961-6 6.237348-1 8.200239-7 6.683439-1 6.595877-7 7.161434-1 5.340487-7 7.673615-1 4.353890-7 8.222427-1 3.574731-7 8.912509-1 2.859291-7 9.332543-1 2.529398-7 9.772372-1 2.250588-7 1.023293+0 2.016722-7 1.071519+0 1.820507-7 1.122018+0 1.653909-7 1.188502+0 1.477836-7 1.288250+0 1.274396-7 1.412538+0 1.084644-7 1.513561+0 9.639205-8 1.819701+0 6.966118-8 2.018366+0 5.835453-8 2.290868+0 4.737064-8 2.630268+0 3.802656-8 3.019952+0 3.075388-8 3.507519+0 2.462024-8 4.073803+0 1.985741-8 4.786301+0 1.587454-8 5.688529+0 1.258783-8 6.760830+0 1.005704-8 8.128305+0 7.972938-9 1.000000+1 6.190600-9 1.273503+1 4.651181-9 1.621810+1 3.522959-9 2.113489+1 2.619959-9 2.851018+1 1.889358-9 4.216965+1 1.244709-9 6.382635+1 8.06878-10 9.772372+1 5.20352-10 1.883649+2 2.66700-10 3.758374+2 1.32806-10 1.496236+3 3.31994-11 1.000000+5 4.95730-13 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 6.326000-5 6.326000-5 1.000000+5 6.326000-5 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 6.326000-5 0.0 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 9.812000-5 7.148000+4 9.980000-5 6.758600+4 1.005000-4 6.626600+4 1.020000-4 6.404140+4 1.035142-4 6.243030+4 1.050000-4 6.129620+4 1.070000-4 6.028340+4 1.090000-4 5.973200+4 1.110000-4 5.952000+4 1.135011-4 5.959450+4 1.170000-4 6.011280+4 1.220000-4 6.132340+4 1.350000-4 6.485060+4 1.412538-4 6.610915+4 1.480000-4 6.696380+4 1.548817-4 6.734834+4 1.621810-4 6.731810+4 1.720000-4 6.676540+4 1.840772-4 6.560332+4 1.995262-4 6.373693+4 2.150000-4 6.161160+4 2.300000-4 5.933760+4 2.454709-4 5.682934+4 2.650000-4 5.358480+4 2.900000-4 4.957640+4 3.200000-4 4.521260+4 3.507519-4 4.122203+4 3.850000-4 3.725140+4 4.315191-4 3.263976+4 4.897788-4 2.798752+4 5.500000-4 2.413840+4 6.456542-4 1.950159+4 7.500000-4 1.585282+4 8.912509-4 1.239482+4 1.083927-3 9.292012+3 1.318257-3 6.906903+3 1.584893-3 5.186207+3 1.905461-3 3.866003+3 2.317395-3 2.806377+3 2.786121-3 2.059398+3 3.349654-3 1.499990+3 4.027170-3 1.084242+3 4.841724-3 7.780144+2 5.888437-3 5.426302+2 7.161434-3 3.754948+2 8.709636-3 2.578489+2 1.059254-2 1.757565+2 1.288250-2 1.188887+2 1.548817-2 8.168726+1 1.862087-2 5.570689+1 2.238721-2 3.769554+1 2.660725-2 2.594966+1 3.162278-2 1.773739+1 3.758374-2 1.203687+1 4.518559-2 7.896917+0 5.248075-2 5.577562+0 6.237348-2 3.704252+0 7.498942-2 2.375351+0 8.912509-2 1.554658+0 1.109175-1 9.010978-1 1.445440-1 4.615587-1 2.511886-1 1.124536-1 3.126079-1 6.472812-2 3.715352-1 4.213900-2 4.265795-1 3.008530-2 4.897788-1 2.162970-2 5.559043-1 1.609176-2 6.237348-1 1.237548-2 7.079458-1 9.340194-3 8.035261-1 7.104145-3 9.015711-1 5.574814-3 1.000000+0 4.514600-3 1.161449+0 3.361717-3 1.303167+0 2.696175-3 1.479108+0 2.131288-3 1.659587+0 1.733384-3 1.883649+0 1.391187-3 2.137962+0 1.124775-3 2.426610+0 9.159286-4 2.786121+0 7.376416-4 3.235937+0 5.881124-4 3.758374+0 4.724808-4 4.415704+0 3.762416-4 5.188000+0 3.018698-4 6.165950+0 2.402316-4 7.413102+0 1.897690-4 8.912509+0 1.509811-4 1.083927+1 1.192742-4 1.364583+1 9.105533-5 1.757924+1 6.822966-5 2.317395+1 5.021427-5 3.090295+1 3.675372-5 4.518559+1 2.454680-5 7.161434+1 1.519039-5 1.303167+2 8.225485-6 2.600160+2 4.084295-6 5.188000+2 2.037299-6 4.120975+3 2.554073-7 1.000000+5 1.051500-8 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 9.812000-5 9.812000-5 1.000000+5 9.812000-5 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 9.812000-5 0.0 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 6.601000-5 1.415452+6 6.650000-5 1.453696+6 6.700000-5 1.483220+6 6.770000-5 1.509692+6 6.850000-5 1.523888+6 6.920000-5 1.526366+6 7.000000-5 1.519302+6 7.110000-5 1.497876+6 7.230000-5 1.463490+6 7.350000-5 1.420774+6 7.500000-5 1.359834+6 7.673615-5 1.283607+6 7.852356-5 1.202947+6 8.080000-5 1.101290+6 8.317638-5 1.000085+6 8.650000-5 8.707080+5 9.120108-5 7.154891+5 1.059254-4 4.051154+5 1.135011-4 3.133489+5 1.220000-4 2.412540+5 1.303167-4 1.913000+5 1.380384-4 1.572641+5 1.450000-4 1.338384+5 1.520000-4 1.153960+5 1.584893-4 1.017627+5 1.659587-4 8.920082+4 1.737801-4 7.877088+4 1.820000-4 7.005920+4 1.905461-4 6.283021+4 1.995262-4 5.673891+4 2.089296-4 5.160711+4 2.190000-4 4.719340+4 2.300000-4 4.333620+4 2.400000-4 4.049440+4 2.511886-4 3.788306+4 2.660725-4 3.509377+4 2.818383-4 3.273828+4 3.019952-4 3.032920+4 3.273407-4 2.793638+4 3.672823-4 2.505551+4 5.069907-4 1.874668+4 5.956621-4 1.609312+4 6.839116-4 1.401841+4 7.852356-4 1.211294+4 9.015711-4 1.038607+4 1.035142-3 8.830398+3 1.188502-3 7.446254+3 1.350000-3 6.316020+3 1.531087-3 5.329728+3 1.717908-3 4.534483+3 1.949845-3 3.769929+3 2.213095-3 3.110646+3 2.511886-3 2.547180+3 2.851018-3 2.070132+3 3.235937-3 1.669876+3 3.672823-3 1.336390+3 4.168694-3 1.061552+3 4.731513-3 8.371167+2 5.370318-3 6.553934+2 6.095369-3 5.094770+2 6.918310-3 3.932722+2 7.852356-3 3.014494+2 8.912509-3 2.294474+2 1.011579-2 1.734472+2 1.161449-2 1.268539+2 1.333521-2 9.205227+1 1.513561-2 6.812648+1 1.737801-2 4.867386+1 2.000000-2 3.430374+1 2.317395-2 2.355896+1 2.722701-2 1.548601+1 3.388442-2 8.677682+0 3.935501-2 5.795903+0 4.466836-2 4.086479+0 5.188000-2 2.683479+0 6.237348-2 1.585345+0 7.673615-2 8.703267-1 1.000000-1 4.009213-1 1.798871-1 7.120596-2 2.213095-1 3.894779-2 2.630268-1 2.371973-2 3.054921-1 1.553752-2 3.507519-1 1.058633-2 4.000000-1 7.402900-3 4.518559-1 5.350045-3 5.069907-1 3.963717-3 5.688529-1 2.957742-3 6.309573-1 2.288031-3 6.998420-1 1.781977-3 7.762471-1 1.397263-3 8.709636-1 1.072106-3 9.440609-1 8.969583-4 1.011579+0 7.751664-4 1.109175+0 6.433797-4 1.216186+0 5.375501-4 1.333521+0 4.521464-4 1.513561+0 3.594107-4 1.737801+0 2.812381-4 1.972423+0 2.262387-4 2.238721+0 1.834033-4 2.570396+0 1.470338-4 2.951209+0 1.187762-4 3.427678+0 9.497698-5 4.000000+0 7.600500-5 4.677351+0 6.110251-5 5.559043+0 4.840024-5 6.606934+0 3.863287-5 8.035261+0 3.016458-5 9.885531+0 2.341094-5 1.258925+1 1.758238-5 1.600000+1 1.334300-5 2.089296+1 9.896569-6 2.851018+1 7.046802-6 4.216965+1 4.642287-6 6.382635+1 3.009419-6 9.772372+1 1.940740-6 1.927525+2 9.717793-7 3.845918+2 4.839563-7 3.054921+3 6.059168-8 1.000000+5 1.848900-9 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 6.601000-5 6.601000-5 1.000000+5 6.601000-5 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 6.601000-5 0.0 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 5.315000-5 3.271480+6 5.370318-5 3.294206+6 5.432503-5 3.291459+6 5.500000-5 3.264844+6 5.570000-5 3.217916+6 5.651800-5 3.146888+6 5.754399-5 3.040788+6 5.888437-5 2.886731+6 6.025596-5 2.721491+6 6.165950-5 2.551688+6 6.382635-5 2.298349+6 6.607000-5 2.055079+6 6.918310-5 1.756248+6 8.128305-5 9.893759+5 8.609938-5 8.107805+5 9.015711-5 6.954408+5 9.440609-5 6.001376+5 9.900000-5 5.190720+5 1.035142-4 4.561219+5 1.083927-4 4.021249+5 1.122018-4 3.678198+5 1.170000-4 3.322424+5 1.220000-4 3.022840+5 1.273503-4 2.764203+5 1.330000-4 2.544260+5 1.390400-4 2.354830+5 1.450000-4 2.202696+5 1.531087-4 2.035946+5 1.621810-4 1.887827+5 1.737801-4 1.737933+5 1.883649-4 1.590355+5 2.089296-4 1.430865+5 3.030200-4 1.001052+5 3.500000-4 8.646640+4 4.027170-4 7.437426+4 4.623810-4 6.363516+4 5.248075-4 5.476593+4 6.025596-4 4.614520+4 6.839116-4 3.919480+4 7.852356-4 3.256706+4 9.015711-4 2.687911+4 1.047129-3 2.166260+4 1.202264-3 1.762111+4 1.380384-3 1.423681+4 1.603245-3 1.120934+4 1.819701-3 9.093887+3 2.089296-3 7.182310+3 2.398833-3 5.629494+3 2.722701-3 4.471424+3 3.090295-3 3.527362+3 3.507519-3 2.763308+3 4.000000-3 2.129480+3 4.570882-3 1.622061+3 5.188000-3 1.243841+3 5.888437-3 9.472371+2 6.683439-3 7.165526+2 7.585776-3 5.382407+2 8.709636-3 3.908379+2 9.885531-3 2.894382+2 1.122018-2 2.128736+2 1.273503-2 1.554808+2 1.445440-2 1.127785+2 1.640590-2 8.123282+1 1.883649-2 5.636678+1 2.137962-2 4.003398+1 2.454709-2 2.735099+1 2.818383-2 1.854702+1 3.273407-2 1.208122+1 3.801894-2 7.808632+0 4.415704-2 5.008769+0 5.188000-2 3.080784+0 6.095369-2 1.881321+0 7.328245-2 1.061988+0 9.225714-2 5.151757-1 1.678804-1 7.696612-2 2.065380-1 4.010664-2 2.426610-1 2.431078-2 2.786121-1 1.593442-2 3.162278-1 1.089086-2 3.589219-1 7.499640-3 4.027170-1 5.382166-3 4.466836-1 4.019959-3 4.954502-1 3.022963-3 5.495409-1 2.289893-3 6.095369-1 1.747817-3 6.760830-1 1.344872-3 7.498942-1 1.043021-3 8.609938-1 7.498544-4 9.225714-1 6.396731-4 9.772372-1 5.634692-4 1.047129+0 4.875801-4 1.135011+0 4.145835-4 1.244515+0 3.469649-4 1.380384+0 2.865008-4 1.698244+0 1.979107-4 1.927525+0 1.589700-4 2.187762+0 1.287128-4 2.511886+0 1.030516-4 2.884032+0 8.313673-5 3.349654+0 6.639890-5 3.890451+0 5.343511-5 4.570882+0 4.262267-5 5.432503+0 3.372628-5 6.456542+0 2.689401-5 7.852356+0 2.097959-5 9.549926+0 1.649526-5 1.202264+1 1.254021-5 1.513561+1 9.606556-6 1.949845+1 7.220849-6 2.630268+1 5.196920-6 3.715352+1 3.587750-6 5.432503+1 2.405128-6 8.609938+1 1.493178-6 1.717908+2 7.380023-7 3.427678+2 3.672952-7 1.364583+3 9.176888-8 1.000000+5 1.249500-9 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 5.315000-5 5.315000-5 1.000000+5 5.315000-5 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 5.315000-5 0.0 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.079000-5 3.127128+6 1.115000-5 3.281232+6 1.161449-5 3.514373+6 1.216186-5 3.829797+6 1.318257-5 4.501840+6 1.513561-5 5.977025+6 1.640590-5 7.005154+6 1.757924-5 7.970830+6 1.862087-5 8.818654+6 1.950000-5 9.510840+6 2.041738-5 1.019248+7 2.113489-5 1.068523+7 2.190000-5 1.116127+7 2.270000-5 1.159464+7 2.350000-5 1.194972+7 2.426610-5 1.221264+7 2.511886-5 1.241336+7 2.600160-5 1.251660+7 2.660725-5 1.252571+7 2.730000-5 1.247628+7 2.818383-5 1.232701+7 2.900000-5 1.211371+7 2.985383-5 1.182639+7 3.080000-5 1.144740+7 3.162278-5 1.107799+7 3.273407-5 1.053689+7 3.400000-5 9.890328+6 3.507519-5 9.334027+6 3.650000-5 8.608416+6 3.801894-5 7.869404+6 3.981072-5 7.061387+6 4.168694-5 6.297713+6 4.415704-5 5.419013+6 4.677351-5 4.631026+6 5.000000-5 3.831192+6 5.308844-5 3.209031+6 5.650000-5 2.649408+6 6.000000-5 2.185426+6 6.309573-5 1.848742+6 6.650000-5 1.542226+6 7.000000-5 1.283962+6 7.413102-5 1.038614+6 7.852356-5 8.329910+5 8.317638-5 6.634742+5 8.810489-5 5.251003+5 9.332543-5 4.129765+5 1.000000-4 3.073416+5 1.060000-4 2.379686+5 1.135011-4 1.750380+5 1.216186-4 1.273361+5 1.450000-4 5.574624+4 1.520000-4 4.496496+4 1.566751-4 3.935922+4 1.620000-4 3.421104+4 1.670000-4 3.035064+4 1.705000-4 2.811072+4 1.740000-4 2.619456+4 1.780000-4 2.434872+4 1.820000-4 2.281800+4 1.862087-4 2.149613+4 1.905461-4 2.039511+4 1.950000-4 1.949652+4 1.995262-4 1.878574+4 2.041738-4 1.823344+4 2.089296-4 1.782220+4 2.137962-4 1.753263+4 2.190000-4 1.734151+4 2.250000-4 1.724251+4 2.317395-4 1.725008+4 2.400000-4 1.737761+4 2.517700-4 1.769756+4 2.951209-4 1.916697+4 3.162278-4 1.972831+4 3.349654-4 2.007398+4 3.548134-4 2.029071+4 3.758374-4 2.037467+4 4.000000-4 2.031449+4 4.216965-4 2.013383+4 4.466836-4 1.981707+4 4.755500-4 1.934199+4 5.069907-4 1.873025+4 5.432503-4 1.794684+4 5.821032-4 1.706517+4 6.237348-4 1.611279+4 6.683439-4 1.511299+4 7.244360-4 1.391418+4 7.852356-4 1.270821+4 8.511380-4 1.151891+4 9.225714-4 1.036483+4 1.000000-3 9.260856+3 1.083927-3 8.220435+3 1.174898-3 7.249993+3 1.273503-3 6.353933+3 1.396368-3 5.423642+3 1.531087-3 4.593583+3 1.678804-3 3.861308+3 1.840772-3 3.221566+3 2.018366-3 2.668193+3 2.213095-3 2.193990+3 2.426610-3 1.791516+3 2.660725-3 1.452972+3 2.917427-3 1.170648+3 3.235937-3 9.110687+2 3.589219-3 7.034946+2 3.981072-3 5.390858+2 4.415704-3 4.101234+2 4.897788-3 3.097216+2 5.432503-3 2.323078+2 6.025596-3 1.729831+2 6.683439-3 1.280000+2 7.498942-3 9.090155+1 8.317638-3 6.635194+1 9.332543-3 4.642440+1 1.047129-2 3.224329+1 1.174898-2 2.223902+1 1.318257-2 1.523517+1 1.496236-2 9.972095+0 1.698244-2 6.474148+0 1.927525-2 4.172091+0 2.213095-2 2.563036+0 2.540973-2 1.562638+0 2.951209-2 9.071093-1 3.427678-2 5.226162-1 4.073803-2 2.744267-1 4.954502-2 1.311390-1 6.237348-2 5.449376-2 1.122019-1 5.730725-3 1.396368-1 2.492367-3 1.678804-1 1.244631-3 1.949845-1 7.129001-4 2.213095-1 4.480853-4 2.511886-1 2.836455-4 2.851018-1 1.809060-4 3.235937-1 1.162853-4 3.630781-1 7.840428-5 4.027170-1 5.537149-5 4.466836-1 3.938524-5 4.954502-1 2.822707-5 5.432503-1 2.113081-5 5.956621-1 1.592971-5 6.456542-1 1.253175-5 7.079458-1 9.597086-6 8.609938-1 5.531078-6 9.120108-1 4.730294-6 9.549926-1 4.197945-6 1.000000+0 3.748800-6 1.047129+0 3.371860-6 1.096478+0 3.053820-6 1.161449+0 2.720156-6 1.230269+0 2.440368-6 1.333521+0 2.110789-6 1.479108+0 1.766456-6 1.883649+0 1.155745-6 2.089296+0 9.703823-7 2.371374+0 7.892950-7 2.722701+0 6.347754-7 3.126079+0 5.142105-7 3.630781+0 4.123938-7 4.216965+0 3.331618-7 4.954502+0 2.667550-7 5.888437+0 2.118456-7 7.079458+0 1.670347-7 8.511380+0 1.326618-7 1.047129+1 1.031952-7 1.318257+1 7.869621-8 1.698244+1 5.890219-8 2.238721+1 4.330911-8 3.019952+1 3.128256-8 4.415704+1 2.088343-8 6.918310+1 1.307228-8 1.148154+2 7.772675-9 2.213095+2 3.990699-9 4.415704+2 1.988961-9 3.507519+3 2.49195-10 1.000000+5 8.73140-12 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.079000-5 1.079000-5 1.000000+5 1.079000-5 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.079000-5 0.0 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 9.600000-6 5.742183+6 1.000000-5 6.088032+6 1.059254-5 6.664777+6 1.333521-5 9.838417+6 1.462177-5 1.142904+7 1.584893-5 1.293952+7 1.698244-5 1.429382+7 1.800000-5 1.544616+7 1.905461-5 1.654362+7 2.000000-5 1.741428+7 2.089296-5 1.811520+7 2.162719-5 1.858875+7 2.238721-5 1.896966+7 2.317395-5 1.923948+7 2.400000-5 1.938402+7 2.483133-5 1.938843+7 2.570396-5 1.924737+7 2.650000-5 1.899727+7 2.730000-5 1.864080+7 2.818383-5 1.814328+7 2.900000-5 1.760764+7 3.000000-5 1.687288+7 3.090295-5 1.615902+7 3.198895-5 1.526670+7 3.311311-5 1.433267+7 3.450000-5 1.319846+7 3.590900-5 1.209362+7 3.758374-5 1.086866+7 3.950000-5 9.604224+6 4.168694-5 8.342046+6 4.415704-5 7.126798+6 4.677351-5 6.050150+6 5.000000-5 4.969080+6 5.308844-5 4.134597+6 5.650000-5 3.389774+6 6.000000-5 2.777465+6 6.309573-5 2.335673+6 6.683439-5 1.901336+6 7.079458-5 1.535947+6 7.413102-5 1.287340+6 7.852356-5 1.025269+6 8.317638-5 8.110462+5 8.810489-5 6.370709+5 9.440609-5 4.731494+5 1.000000-4 3.668220+5 1.071519-4 2.683569+5 1.150000-4 1.934377+5 1.350000-4 9.091404+4 1.412538-4 7.386454+4 1.462177-4 6.337554+4 1.500000-4 5.683176+4 1.540000-4 5.105232+4 1.584893-4 4.573326+4 1.621810-4 4.212855+4 1.659587-4 3.904226+4 1.698244-4 3.642410+4 1.737801-4 3.422800+4 1.778279-4 3.240850+4 1.820000-4 3.091043+4 1.862087-4 2.972154+4 1.905461-4 2.878106+4 1.950000-4 2.806927+4 2.000000-4 2.752106+4 2.050000-4 2.718194+4 2.100000-4 2.700778+4 2.162719-4 2.697566+4 2.238721-4 2.713912+4 2.344229-4 2.758685+4 2.786121-4 3.008095+4 2.985383-4 3.093122+4 3.162278-4 3.143961+4 3.349654-4 3.174399+4 3.548134-4 3.184142+4 3.758374-4 3.173221+4 4.000000-4 3.138624+4 4.265795-4 3.077796+4 4.518559-4 3.004987+4 4.786301-4 2.916779+4 5.069907-4 2.815132+4 5.432503-4 2.678376+4 5.821032-4 2.529797+4 6.237348-4 2.373452+4 6.683439-4 2.212751+4 7.244360-4 2.023749+4 7.852356-4 1.836896+4 8.511380-4 1.655358+4 9.225714-4 1.481075+4 1.000000-3 1.315760+4 1.083927-3 1.161696+4 1.188502-3 9.999998+3 1.303167-3 8.540162+3 1.428894-3 7.236914+3 1.566751-3 6.085854+3 1.717908-3 5.079658+3 1.883649-3 4.208818+3 2.065380-3 3.462253+3 2.264644-3 2.828080+3 2.483133-3 2.294230+3 2.722701-3 1.848695+3 3.000000-3 1.462327+3 3.311311-3 1.143506+3 3.672823-3 8.766261+2 4.073803-3 6.669170+2 4.415704-3 5.361725+2 4.897788-3 4.017760+2 5.432503-3 2.989193+2 6.095369-3 2.135941+2 6.839116-3 1.516178+2 7.673615-3 1.067872+2 8.511380-3 7.735601+1 9.549926-3 5.365805+1 1.071519-2 3.694167+1 1.202264-2 2.525340+1 1.348963-2 1.714233+1 1.513561-2 1.155582+1 1.717908-2 7.428745+0 1.949845-2 4.738917+0 2.213095-2 3.001149+0 2.540973-2 1.809318+0 2.917427-2 1.082736+0 3.388442-2 6.159032-1 3.981072-2 3.328385-1 4.786301-2 1.633693-1 5.821032-2 7.603814-2 1.148154-1 5.237616-3 1.380384-1 2.552414-3 1.640590-1 1.310734-3 1.862087-1 8.092579-4 2.089296-1 5.255039-4 2.344229-1 3.438296-4 2.600160-1 2.363040-4 2.884032-1 1.635364-4 3.198895-1 1.140109-4 3.507519-1 8.329069-5 3.845918-1 6.126569-5 4.216965-1 4.539784-5 4.623810-1 3.389982-5 5.011872-1 2.642700-5 5.432503-1 2.073219-5 5.888437-1 1.637121-5 6.382635-1 1.302183-5 6.918310-1 1.042996-5 7.498942-1 8.408875-6 8.609938-1 5.866581-6 9.120108-1 5.079290-6 9.660509-1 4.428138-6 1.011579+0 3.991657-6 1.071519+0 3.529854-6 1.148154+0 3.069151-6 1.230269+0 2.687379-6 1.333521+0 2.317606-6 1.603245+0 1.673137-6 1.840772+0 1.312853-6 2.044000+0 1.099100-6 2.344229+0 8.781785-7 2.691535+0 7.057988-7 3.090295+0 5.713841-7 3.589219+0 4.579784-7 4.168694+0 3.697856-7 4.897788+0 2.959190-7 5.821032+0 2.348955-7 7.000000+0 1.850600-7 8.413951+0 1.469542-7 1.023293+1 1.158396-7 1.303167+1 8.710521-8 1.678804+1 6.517052-8 2.200000+1 4.821700-8 2.985383+1 3.458959-8 4.365158+1 2.308623-8 6.760830+1 1.462137-8 1.083927+2 9.003159-9 2.065380+2 4.673642-9 4.120975+2 2.328391-9 3.273407+3 2.91629-10 1.000000+5 9.53580-12 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 9.600000-6 9.600000-6 1.000000+5 9.600000-6 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 9.600000-6 0.0 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 8.390000-6 6.583920+6 8.810489-6 5.381627+6 1.000000-5 3.152500+6 1.122018-5 1.922547+6 1.244515-5 1.222881+6 1.388400-5 7.527008+5 1.570000-5 4.327800+5 1.862087-5 1.997373+5 2.000000-5 1.453128+5 2.113489-5 1.144081+5 2.213095-5 9.438466+4 2.300000-5 8.090200+4 2.371374-5 7.197686+4 2.454709-5 6.349158+4 2.528300-5 5.740737+4 2.600160-5 5.249494+4 2.660725-5 4.900950+4 2.730000-5 4.563720+4 2.800000-5 4.278960+4 2.884032-5 3.998500+4 2.951209-5 3.814259+4 3.040000-5 3.615280+4 3.126079-5 3.462022+4 3.223700-5 3.325910+4 3.330000-5 3.213600+4 3.427678-5 3.136164+4 3.548134-5 3.066598+4 3.690000-5 3.011900+4 3.850000-5 2.974820+4 4.073803-5 2.949969+4 5.069907-5 2.932619+4 5.500000-5 2.909500+4 5.900000-5 2.870480+4 6.309573-5 2.814037+4 6.760830-5 2.737303+4 7.244360-5 2.643846+4 7.800000-5 2.528040+4 8.413951-5 2.395868+4 9.120108-5 2.245581+4 1.000900-4 2.067575+4 1.096478-4 1.893664+4 1.244515-4 1.661660+4 1.428894-4 1.429169+4 2.454709-4 7.728435+3 2.754229-4 6.735230+3 3.054921-4 5.915284+3 3.467369-4 4.999197+3 4.120975-4 3.935740+3 6.000000-4 2.312740+3 7.000000-4 1.842672+3 1.059254-3 9.822869+2 1.288250-3 7.236629+2 1.640590-3 4.917047+2 2.018366-3 3.505151+2 2.454709-3 2.528072+2 2.985383-3 1.809755+2 3.630781-3 1.284949+2 4.415704-3 9.051682+1 5.370318-3 6.328718+1 6.531306-3 4.392155+1 7.943282-3 3.024947+1 9.660509-3 2.067605+1 1.188502-2 1.370871+1 1.445440-2 9.227903+0 1.737801-2 6.310678+0 2.089296-2 4.282896+0 2.511886-2 2.883631+0 3.000000-2 1.954554+0 3.589219-2 1.309539+0 4.265795-2 8.839538-1 5.069907-2 5.922923-1 6.095369-2 3.831584-1 7.328245-2 2.459612-1 8.609938-2 1.658012-1 1.059254-1 9.903935-2 1.364583-1 5.230812-2 2.483133-1 1.134062-2 3.090295-1 6.525773-3 3.672823-1 4.246772-3 4.265795-1 2.947668-3 4.897788-1 2.119623-3 5.559043-1 1.577370-3 6.237348-1 1.213524-3 7.079458-1 9.163877-4 8.000000-1 7.041100-4 8.912509-1 5.612237-4 9.885531-1 4.544944-4 1.148154+0 3.383481-4 1.303167+0 2.653332-4 1.479108+0 2.096881-4 1.659587+0 1.705372-4 1.883649+0 1.368754-4 2.137962+0 1.106545-4 2.426610+0 9.010531-5 2.786121+0 7.256862-5 3.235937+0 5.785986-5 3.758374+0 4.648394-5 4.415704+0 3.701587-5 5.188000+0 2.969876-5 6.165950+0 2.363431-5 7.498942+0 1.840112-5 9.015711+0 1.464677-5 1.100000+1 1.153100-5 1.380384+1 8.839886-6 1.778279+1 6.626338-6 2.371374+1 4.817139-6 3.162278+1 3.527723-6 4.623810+1 2.357227-6 7.328245+1 1.459311-6 1.396368+2 7.542275-7 2.786121+2 3.747806-7 5.559043+2 1.870087-7 4.415704+3 2.345129-8 1.000000+5 1.034500-9 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 8.390000-6 8.390000-6 1.000000+5 8.390000-6 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 8.390000-6 0.0 1.000000+5 1.000000+5 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 4.918720-7 1.026100+0 1.112170-6 1.026600+0 1.567900-6 1.027100+0 2.133160-6 1.027500+0 2.671760-6 1.028100+0 3.637550-6 1.028750+0 4.918720-6 1.029500+0 6.731400-6 1.030100+0 8.465550-6 1.031000+0 1.158380-5 1.032000+0 1.584950-5 1.033200+0 2.220240-5 1.034000+0 2.725560-5 1.035300+0 3.699550-5 1.036640+0 4.918720-5 1.038200+0 6.637970-5 1.039700+0 8.624050-5 1.041500+0 1.147420-4 1.043800+0 1.592660-4 1.046400+0 2.215880-4 1.048300+0 2.758830-4 1.051200+0 3.742300-4 1.054080+0 4.918720-4 1.057700+0 6.704540-4 1.061100+0 8.720940-4 1.065100+0 1.154560-3 1.070400+0 1.610740-3 1.076200+0 2.226040-3 1.080600+0 2.779960-3 1.087100+0 3.745510-3 1.093710+0 4.918720-3 1.102600+0 6.819540-3 1.110700+0 8.893700-3 1.120600+0 1.189650-2 1.133300+0 1.654030-2 1.147500+0 2.283630-2 1.158200+0 2.837970-2 1.174100+0 3.793250-2 1.190110+0 4.918720-2 1.205100+0 6.123980-2 1.227500+0 8.197740-2 1.250000+0 1.059000-1 1.265600+0 1.241150-1 1.294900+0 1.615550-1 1.331800+0 2.138320-1 1.362600+0 2.610160-1 1.397000+0 3.167580-1 1.433800+0 3.792470-1 1.477900+0 4.574110-1 1.500000+0 4.979000-1 1.562500+0 6.166260-1 1.617200+0 7.249760-1 1.712900+0 9.217640-1 1.838500+0 1.187980+0 1.946200+0 1.418410+0 2.000000+0 1.533000+0 2.044000+0 1.626000+0 2.163500+0 1.875160+0 2.372600+0 2.297600+0 2.647100+0 2.824030+0 3.000000+0 3.458000+0 3.500000+0 4.287990+0 4.000000+0 5.047000+0 4.750000+0 6.065190+0 5.000000+0 6.378000+0 6.000000+0 7.522000+0 7.000000+0 8.531000+0 8.000000+0 9.438000+0 9.000000+0 1.026000+1 1.000000+1 1.102000+1 1.100000+1 1.172000+1 1.200000+1 1.238000+1 1.300000+1 1.299000+1 1.400000+1 1.356000+1 1.500000+1 1.409000+1 1.600000+1 1.458000+1 1.800000+1 1.548000+1 2.000000+1 1.627000+1 2.200000+1 1.699000+1 2.400000+1 1.765000+1 2.600000+1 1.825000+1 2.800000+1 1.880000+1 3.000000+1 1.931000+1 4.000000+1 2.139000+1 5.000000+1 2.292000+1 6.000000+1 2.412000+1 8.000000+1 2.588000+1 1.000000+2 2.711000+1 1.500000+2 2.907000+1 2.000000+2 3.022000+1 3.000000+2 3.157000+1 4.000000+2 3.234000+1 5.000000+2 3.284000+1 6.000000+2 3.320000+1 8.000000+2 3.368000+1 1.000000+3 3.399000+1 1.500000+3 3.443000+1 2.000000+3 3.467000+1 3.000000+3 3.494000+1 4.000000+3 3.508000+1 5.000000+3 3.517000+1 6.000000+3 3.523000+1 8.000000+3 3.531000+1 1.000000+4 3.536000+1 1.500000+4 3.543000+1 2.000000+4 3.547000+1 3.000000+4 3.551000+1 4.000000+4 3.553000+1 5.000000+4 3.554000+1 6.000000+4 3.555000+1 8.000000+4 3.556000+1 1.000000+5 3.557000+1 1 76000 7 8 1.902000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 7.610750-7 2.090400+0 1.033350-6 2.094700+0 1.339900-6 2.099900+0 1.782540-6 2.106600+0 2.479670-6 2.114000+0 3.430930-6 2.119500+0 4.271490-6 2.127900+0 5.792940-6 2.136250+0 7.610750-6 2.147000+0 1.043490-5 2.156900+0 1.355360-5 2.169000+0 1.808820-5 2.184500+0 2.514320-5 2.201800+0 3.478630-5 2.214800+0 4.334110-5 2.234200+0 5.830140-5 2.253680+0 7.610750-5 2.281500+0 1.066020-4 2.307000+0 1.400210-4 2.338200+0 1.882700-4 2.377400+0 2.607310-4 2.410200+0 3.316060-4 2.446800+0 4.218210-4 2.485900+0 5.310960-4 2.532900+0 6.796920-4 2.556430+0 7.610750-4 2.611900+0 9.704660-4 2.660400+0 1.173250-3 2.745300+0 1.570350-3 2.809000+0 1.901800-3 2.904500+0 2.449990-3 3.000000+0 3.058000-3 3.125000+0 3.942780-3 3.234400+0 4.796880-3 3.425800+0 6.457890-3 3.569300+0 7.829120-3 3.784700+0 1.006120-2 4.000000+0 1.246000-2 4.250000+0 1.539260-2 4.625000+0 2.000090-2 5.000000+0 2.479000-2 5.500000+0 3.135870-2 6.000000+0 3.801000-2 6.750000+0 4.789850-2 7.000000+0 5.115000-2 8.000000+0 6.386000-2 9.000000+0 7.600000-2 1.000000+1 8.750000-2 1.100000+1 9.837000-2 1.200000+1 1.086000-1 1.300000+1 1.182000-1 1.400000+1 1.274000-1 1.500000+1 1.360000-1 1.600000+1 1.442000-1 1.800000+1 1.594000-1 2.000000+1 1.731000-1 2.200000+1 1.857000-1 2.400000+1 1.972000-1 2.600000+1 2.078000-1 2.800000+1 2.176000-1 3.000000+1 2.267000-1 4.000000+1 2.641000-1 5.000000+1 2.922000-1 6.000000+1 3.144000-1 8.000000+1 3.474000-1 1.000000+2 3.713000-1 1.500000+2 4.102000-1 2.000000+2 4.344000-1 3.000000+2 4.636000-1 4.000000+2 4.809000-1 5.000000+2 4.927000-1 6.000000+2 5.013000-1 8.000000+2 5.131000-1 1.000000+3 5.210000-1 1.500000+3 5.326000-1 2.000000+3 5.391000-1 3.000000+3 5.462000-1 4.000000+3 5.505000-1 5.000000+3 5.530000-1 6.000000+3 5.548000-1 8.000000+3 5.572000-1 1.000000+4 5.587000-1 1.500000+4 5.607000-1 2.000000+4 5.619000-1 3.000000+4 5.630000-1 4.000000+4 5.638000-1 5.000000+4 5.642000-1 6.000000+4 5.645000-1 8.000000+4 5.648000-1 1.000000+5 5.650000-1 1 76000 7 8 1.902000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 76000 7 9 1.902000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 7.600000+1 1.000000+5 7.600000+1 5.000000+5 7.596500+1 8.750000+5 7.593350+1 1.000000+6 7.592600+1 1.500000+6 7.587800+1 1.875000+6 7.580510+1 2.000000+6 7.578400+1 2.500000+6 7.566500+1 3.000000+6 7.552000+1 3.500000+6 7.535080+1 4.000000+6 7.516300+1 4.500000+6 7.495930+1 5.000000+6 7.473400+1 5.500000+6 7.448510+1 6.156200+6 7.412190+1 6.500000+6 7.392750+1 6.718700+6 7.379450+1 7.000000+6 7.363000+1 7.500000+6 7.331300+1 8.250000+6 7.283350+1 9.000000+6 7.233800+1 1.000000+7 7.165300+1 1.125000+7 7.074620+1 1.187500+7 7.028160+1 1.250000+7 6.981000+1 1.437500+7 6.836910+1 1.500000+7 6.789300+1 1.750000+7 6.599900+1 2.000000+7 6.408300+1 2.375000+7 6.124940+1 2.500000+7 6.033100+1 2.875000+7 5.762160+1 3.000000+7 5.674400+1 3.437500+7 5.375740+1 3.750000+7 5.174600+1 4.000000+7 5.021300+1 4.500000+7 4.734950+1 5.000000+7 4.472500+1 5.500000+7 4.230350+1 6.000000+7 4.004900+1 6.750000+7 3.692520+1 7.000000+7 3.594700+1 7.750000+7 3.317320+1 8.000000+7 3.230600+1 8.750000+7 2.984680+1 9.000000+7 2.907900+1 1.000000+8 2.624400+1 1.250000+8 2.079000+1 1.375000+8 1.889050+1 1.500000+8 1.742200+1 1.625000+8 1.627940+1 1.750000+8 1.532320+1 1.859400+8 1.456880+1 2.000000+8 1.365200+1 2.125000+8 1.285430+1 2.250000+8 1.212440+1 2.500000+8 1.088600+1 2.671900+8 1.019300+1 2.789100+8 9.722690+0 2.875000+8 9.356930+0 2.894500+8 9.270160+0 2.973600+8 8.904440+0 3.000000+8 8.776900+0 3.062500+8 8.465010+0 3.335900+8 7.198550+0 3.418000+8 6.905780+0 3.500000+8 6.667800+0 3.562500+8 6.524800+0 3.671900+8 6.337890+0 3.959000+8 5.938030+0 4.000000+8 5.885300+0 4.125000+8 5.686680+0 5.000000+8 4.320300+0 6.000000+8 3.538800+0 7.000000+8 2.839900+0 7.625000+8 2.567120+0 7.875000+8 2.459390+0 8.000000+8 2.401400+0 8.125000+8 2.339800+0 8.359400+8 2.218600+0 8.564500+8 2.111130+0 9.461700+8 1.697990+0 9.730800+8 1.603510+0 1.000000+9 1.524400+0 1.015600+9 1.485620+0 1.045900+9 1.422850+0 1.074300+9 1.375970+0 1.113400+9 1.325860+0 1.149200+9 1.290970+0 1.193100+9 1.258310+0 1.249300+9 1.227210+0 1.375000+9 1.174920+0 1.419400+9 1.156750+0 1.473100+9 1.132210+0 1.500000+9 1.118600+0 1.562500+9 1.082920+0 1.641100+9 1.032820+0 1.706900+9 9.885630-1 1.780200+9 9.386520-1 1.858700+9 8.859290-1 1.952900+9 8.253020-1 2.000000+9 7.965000-1 2.139200+9 7.174240-1 2.272600+9 6.498200-1 2.443000+9 5.737960-1 2.602800+9 5.118570-1 2.750000+9 4.616720-1 2.825100+9 4.383360-1 2.961100+9 3.995910-1 3.215900+9 3.375640-1 3.438900+9 2.926450-1 3.719500+9 2.460570-1 3.954200+9 2.139410-1 4.215700+9 1.840110-1 4.495800+9 1.574710-1 4.831900+9 1.315920-1 5.000000+9 1.206400-1 5.375000+9 9.999850-2 5.703100+9 8.546040-2 6.277300+9 6.589890-2 7.031000+9 4.813290-2 8.000000+9 3.344600-2 1.00000+10 1.770700-2 1.54060+10 5.173540-3 2.13670+10 2.047640-3 3.11960+10 7.043120-4 4.83970+10 2.055530-4 7.41980+10 6.249370-5 1.00000+11 2.733300-5 1.34280+11 1.212440-5 2.20600+11 3.108550-6 4.19930+11 5.396150-7 1.03480+12 4.747280-8 3.24440+12 2.248190-9 1.00000+14 2.61200-13 3.16230+15 2.70596-17 1.00000+17 2.65580-21 1 76000 7 0 1.902000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 7.80000-12 1.000000+2 7.80000-10 1.000000+3 7.800000-8 1.000000+4 7.800000-6 1.000000+5 7.800000-4 5.000000+5 1.950000-2 8.750000+5 5.971875-2 1.000000+6 7.800000-2 1.500000+6 1.741000-1 1.875000+6 2.695410-1 2.000000+6 3.056000-1 2.500000+6 4.700000-1 3.000000+6 6.640000-1 3.500000+6 8.840570-1 4.000000+6 1.126200+0 4.500000+6 1.386420+0 5.000000+6 1.661000+0 5.500000+6 1.946310+0 6.156200+6 2.331950+0 6.500000+6 2.537110+0 6.718700+6 2.667950+0 7.000000+6 2.836800+0 7.500000+6 3.135980+0 8.250000+6 3.581590+0 9.000000+6 4.020100+0 1.000000+7 4.590000+0 1.125000+7 5.278610+0 1.187500+7 5.614900+0 1.250000+7 5.946900+0 1.437500+7 6.922790+0 1.500000+7 7.244000+0 1.750000+7 8.520700+0 2.000000+7 9.791000+0 2.375000+7 1.167430+1 2.500000+7 1.229400+1 2.875000+7 1.411700+1 3.000000+7 1.471500+1 3.437500+7 1.676860+1 3.750000+7 1.820000+1 4.000000+7 1.932100+1 4.500000+7 2.148910+1 5.000000+7 2.353300+1 5.500000+7 2.542910+1 6.000000+7 2.717700+1 6.750000+7 2.954060+1 7.000000+7 3.027400+1 7.750000+7 3.232910+1 8.000000+7 3.298100+1 8.750000+7 3.483900+1 9.000000+7 3.543700+1 1.000000+8 3.771900+1 1.250000+8 4.283900+1 1.375000+8 4.513240+1 1.500000+8 4.726600+1 1.625000+8 4.923440+1 1.750000+8 5.105070+1 1.859400+8 5.250720+1 2.000000+8 5.421100+1 2.125000+8 5.556350+1 2.250000+8 5.679220+1 2.500000+8 5.890800+1 2.671900+8 6.014610+1 2.789100+8 6.090290+1 2.875000+8 6.142680+1 2.894500+8 6.153910+1 2.973600+8 6.198660+1 3.000000+8 6.213400+1 3.062500+8 6.246350+1 3.335900+8 6.378570+1 3.418000+8 6.414670+1 3.500000+8 6.449100+1 3.562500+8 6.473790+1 3.671900+8 6.516210+1 3.959000+8 6.617860+1 4.000000+8 6.631400+1 4.125000+8 6.670570+1 5.000000+8 6.901300+1 6.000000+8 7.090200+1 7.000000+8 7.220600+1 7.625000+8 7.279150+1 7.875000+8 7.299250+1 8.000000+8 7.308500+1 8.125000+8 7.316800+1 8.359400+8 7.332060+1 8.564500+8 7.344530+1 9.461700+8 7.388610+1 9.730800+8 7.399750+1 1.000000+9 7.410600+1 1.015600+9 7.416020+1 1.045900+9 7.426310+1 1.074300+9 7.435240+1 1.113400+9 7.446270+1 1.149200+9 7.456050+1 1.193100+9 7.466780+1 1.249300+9 7.478810+1 1.375000+9 7.501970+1 1.419400+9 7.508920+1 1.473100+9 7.517040+1 1.500000+9 7.521000+1 1.562500+9 7.528490+1 1.641100+9 7.537510+1 1.706900+9 7.544740+1 1.780200+9 7.551100+1 1.858700+9 7.557360+1 1.952900+9 7.564540+1 2.000000+9 7.568000+1 2.139200+9 7.575400+1 2.272600+9 7.580860+1 2.443000+9 7.586540+1 2.602800+9 7.590800+1 2.750000+9 7.593520+1 2.825100+9 7.594850+1 2.961100+9 7.596220+1 3.215900+9 7.598290+1 3.438900+9 7.599590+1 3.719500+9 7.599630+1 3.954200+9 7.599670+1 4.215700+9 7.599700+1 4.495800+9 7.599740+1 4.831900+9 7.599780+1 5.000000+9 7.599800+1 5.375000+9 7.599830+1 5.703100+9 7.599860+1 6.277300+9 7.599900+1 7.031000+9 7.599950+1 8.000000+9 7.600000+1 1.00000+10 7.600000+1 1.54060+10 7.600000+1 2.13670+10 7.600000+1 3.11960+10 7.600000+1 4.83970+10 7.600000+1 7.41980+10 7.600000+1 1.00000+11 7.600000+1 1.34280+11 7.600000+1 2.20600+11 7.600000+1 4.19930+11 7.600000+1 1.03480+12 7.600000+1 3.24440+12 7.600000+1 1.00000+14 7.600000+1 3.16230+15 7.600000+1 1.00000+17 7.600000+1 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.191932-6 0.0 1.194866-6 6.647788-7 1.197800-6 1.315414-6 1.200733-6 2.402711-6 1.203667-6 4.051301-6 1.206601-6 6.305817-6 1.209535-6 9.060289-6 1.212469-6 1.201702-5 1.215402-6 1.471313-5 1.218336-6 1.662905-5 1.221270-6 1.734937-5 1.224204-6 1.670914-5 1.227138-6 1.485519-5 1.230071-6 1.219148-5 1.235939-6 6.459139-6 1.238873-6 4.169796-6 1.241807-6 2.484900-6 1.244740-6 1.366964-6 1.247674-6 6.941593-7 1.250608-6 0.0 3.769868-6 0.0 4.412834-6 0.0 4.429126-6 3.004770+0 4.434557-6 3.993655+0 4.445419-6 7.294737+0 4.456280-6 1.229993+1 4.468500-6 2.018787+1 4.487338-6 3.521923+1 4.500406-6 4.503246+1 4.511585-6 5.068688+1 4.522978-6 5.240059+1 4.533840-6 4.993944+1 4.545403-6 4.344374+1 4.563727-6 2.900933+1 4.575758-6 1.961023+1 4.587299-6 1.234068+1 4.597481-6 7.544266+0 4.608343-6 4.150163+0 4.621920-6 1.581553+0 4.630066-6 0.0 4.893210-6 0.0 4.914287-6 6.979311+0 4.917298-6 7.966182+0 4.929342-6 1.455088+1 4.941386-6 2.453479+1 4.954935-6 4.026894+1 4.976036-6 7.056745+1 4.990315-6 8.982669+1 5.003555-6 1.014107+2 5.015310-6 1.045351+2 5.027483-6 9.952650+1 5.039902-6 8.707055+1 5.058862-6 6.034659+1 5.073870-6 3.911672+1 5.085914-6 2.525239+1 5.097958-6 1.504862+1 5.110002-6 8.278369+0 5.128068-6 2.104395+0 5.134090-6 0.0 5.545914-6 0.0 5.559565-6 5.07234-13 5.573215-6 1.00368-12 5.586866-6 1.83330-12 5.600517-6 3.09119-12 5.614167-6 4.81142-12 5.627818-6 6.91311-12 5.641468-6 9.16913-12 5.655119-6 1.12263-11 5.668769-6 1.26882-11 5.682420-6 1.32378-11 5.696071-6 1.27493-11 5.709721-6 1.13347-11 5.723372-6 9.30225-12 5.750673-6 4.92840-12 5.764323-6 3.18161-12 5.777974-6 1.89601-12 5.791625-6 1.04301-12 5.805275-6 5.29652-13 5.818926-6 0.0 5.894153-6 0.0 5.915914-6 3.44095-14 5.923168-6 4.57338-14 5.937676-6 8.35365-14 5.952184-6 1.40854-13 5.966691-6 2.19238-13 5.992823-6 3.97329-13 6.012223-6 5.20183-13 6.026281-6 5.80837-13 6.053861-6 1.505757+0 6.055947-6 1.618575+0 6.070780-6 2.956460+0 6.086540-6 5.157987+0 6.101253-6 7.948497+0 6.146306-6 1.831999+1 6.162009-6 2.059465+1 6.176182-6 2.126455+1 6.190805-6 2.035112+1 6.206941-6 1.769107+1 6.230291-6 1.226127+1 6.248775-6 7.947767+0 6.263608-6 5.130802+0 6.278440-6 3.057591+0 6.293273-6 1.682006+0 6.315523-6 4.275727-1 6.322939-6 0.0 6.643001-6 0.0 6.673116-6 1.261860-1 6.675703-6 1.369223-1 6.692054-6 2.500998-1 6.708405-6 4.217027-1 6.724755-6 6.563768-1 6.737846-6 8.858182-1 6.755970-6 1.837612+0 6.771274-6 2.921202+0 6.790268-6 4.676198+0 6.806920-6 6.797236+0 6.824289-6 9.704852+0 6.872893-6 1.965384+1 6.891676-6 2.232469+1 6.905891-6 2.331621+1 6.923786-6 2.264864+1 6.941877-6 2.015897+1 6.961494-6 1.609151+1 6.988776-6 9.807935+0 7.005405-6 6.551452+0 7.021273-6 4.143424+0 7.036365-6 2.508125+0 7.038663-6 2.313451+0 7.055292-6 1.184048+0 7.069534-6 3.925349-1 7.088550-6 1.000445-5 7.104606-6 2.620858-6 7.112676-6 4.592182-7 7.139662-6 7.842603-7 7.165607-6 1.095099-6 7.182903-6 1.237701-6 7.200200-6 1.291315-6 7.218213-6 1.237962-6 7.235980-6 8.419094-2 7.253746-6 1.665894-1 7.271513-6 3.042882-1 7.289280-6 5.130710-1 7.307046-6 7.985904-1 7.362553-6 1.909794+0 7.380630-6 2.151325+0 7.398708-6 2.292076+0 7.416785-6 2.319140+0 7.462418-6 2.121809+0 7.484714-6 2.181761+0 7.538243-6 2.784502+0 7.556420-6 2.922781+0 7.574572-6 2.849938+0 7.592725-6 2.655668+0 7.610877-6 2.294828+0 7.656148-6 1.145286+0 7.665334-6 9.384608-1 7.680682-6 6.432381-1 7.698871-6 4.233300-1 7.717060-6 3.035884-1 7.724979-6 2.924648-1 7.738909-6 2.812093-1 7.753775-6 3.009796-1 7.757818-6 3.295922-1 7.776726-6 5.028598-1 7.824814-6 1.030110+0 7.836075-6 1.135221+0 7.855362-6 1.271352+0 7.871781-6 1.323404+0 7.890921-6 1.307559+0 7.931520-6 1.364296+0 7.948749-6 1.471096+0 7.968266-6 1.740412+0 7.989955-6 2.238745+0 8.042919-6 3.788905+0 8.054728-6 4.050771+0 8.070212-6 4.290608+0 8.089310-6 4.351909+0 8.109364-6 4.129217+0 8.130664-6 3.640118+0 8.184688-6 2.071815+0 8.203532-6 1.645689+0 8.222231-6 1.324020+0 8.241423-6 1.110261+0 8.278631-6 8.462745-1 8.348843-6 8.267190-1 8.418850-6 8.294921-1 8.522930-6 7.687896-1 8.565620-6 8.711732-1 8.584831-6 9.548315-1 8.607042-6 1.104814+0 8.634332-6 1.371663+0 8.690416-6 1.985047+0 8.711542-6 2.146776+0 8.732520-6 2.189860+0 8.758742-6 2.073535+0 8.779720-6 1.881817+0 8.826919-6 1.345518+0 8.848034-6 1.156590+0 8.858659-6 1.072811+0 8.880356-6 9.774941-1 8.900341-6 9.567935-1 8.923752-6 9.975446-1 8.942297-6 1.055421+0 8.969322-6 1.218449+0 8.991398-6 1.416798+0 9.064420-6 1.974208+0 9.101343-6 2.369769+0 9.155404-6 3.025306+0 9.174179-6 3.188506+0 9.195240-6 3.278148+0 9.224166-6 3.191331+0 9.248331-6 2.983086+0 9.328364-6 2.073265+0 9.351941-6 1.858584+0 9.413406-6 1.443114+0 9.490600-6 1.248508+0 9.540048-6 1.180131+0 9.600000-6 1.169428+0 9.669830-6 1.225554+0 9.738587-6 1.377274+0 9.765749-6 1.470757+0 9.806107-6 1.675997+0 9.883898-6 2.110119+0 9.907490-6 2.172955+0 9.931290-6 2.173447+0 9.963680-6 2.069816+0 1.005029-5 1.647978+0 1.008521-5 1.570584+0 1.013309-5 1.593580+0 1.023632-5 1.834013+0 1.032474-5 1.822376+0 1.041433-5 1.809207+0 1.084253-5 1.899884+0 1.217479-5 2.372640+0 1.365195-5 3.101591+0 1.543700-5 4.220498+0 1.829335-5 6.413124+0 2.270000-5 9.978014+0 2.490567-5 1.131757+1 2.730000-5 1.215833+1 3.015945-5 1.227486+1 3.335133-5 1.162759+1 4.135929-5 8.861418+0 4.156289-5 9.727205+0 4.166470-5 1.046459+1 4.179195-5 1.199158+1 4.189375-5 1.364671+1 4.217370-5 1.903435+1 4.230095-5 2.047946+1 4.239804-5 2.073923+1 4.251067-5 1.993245+1 4.255496-5 1.949595+1 4.276072-5 2.390757+1 4.287200-5 2.936301+1 4.297767-5 3.861185+1 4.310263-5 5.522742+1 4.339531-5 1.036059+2 4.351082-5 1.159241+2 4.360617-5 1.194843+2 4.371295-5 1.145344+2 4.382689-5 1.005848+2 4.412227-5 4.952819+1 4.422701-5 3.476076+1 4.433174-5 2.388368+1 4.443648-5 1.665568+1 4.464595-5 7.792164+0 4.957849-5 6.422046+0 4.994458-5 6.643591+0 5.018864-5 7.091007+0 5.068858-5 8.389268+0 5.093689-5 8.488727+0 5.146291-5 7.975990+0 5.225380-5 8.260085+0 5.251872-5 9.133068+0 5.269449-5 1.025924+1 5.282376-5 1.150390+1 5.306880-5 1.467420+1 5.326624-5 1.737471+1 5.342726-5 1.878331+1 5.356124-5 1.901162+1 5.371939-5 1.808108+1 5.391909-5 1.566487+1 5.399430-5 1.468902+1 5.424918-5 1.655299+1 5.438983-5 1.984570+1 5.452947-5 2.628545+1 5.466409-5 3.535041+1 5.504675-5 6.800946+1 5.519860-5 7.671218+1 5.534031-5 7.889287+1 5.546569-5 7.581463+1 5.561345-5 6.655043+1 5.597232-5 3.532104+1 5.612191-5 2.473912+1 5.624872-5 1.817007+1 5.638161-5 1.360086+1 5.664739-5 7.932355+0 5.761568-5 7.236718+0 6.075756-5 6.511688+0 6.275070-5 6.395108+0 6.381709-5 6.983830+0 6.551262-5 7.284800+0 7.088058-5 6.684164+0 8.201250-5 5.061683+0 8.900000-5 4.334902+0 9.282351-5 4.108182+0 9.451509-5 4.261283+0 9.593927-5 4.028722+0 1.026242-4 3.939050+0 1.102731-4 4.149484+0 1.181255-4 4.660968+0 1.273503-4 5.578170+0 1.397160-4 7.252505+0 1.889936-4 1.528525+1 2.190000-4 1.934404+1 2.458109-4 2.193139+1 2.743866-4 2.382431+1 2.811268-4 2.511125+1 2.903994-4 2.562287+1 2.949242-4 2.633154+1 4.216965-4 2.662289+1 4.488308-4 2.659072+1 4.572298-4 2.796441+1 4.642513-4 2.725796+1 4.791656-4 2.751506+1 5.915641-4 2.579482+1 6.393090-4 2.495221+1 6.527408-4 2.505397+1 9.437508-4 1.911553+1 1.137413-3 1.611214+1 1.371579-3 1.334707+1 1.654817-3 1.088982+1 1.926056-3 9.197045+0 1.939133-3 9.475186+0 1.946576-3 1.007468+1 1.953976-3 1.124986+1 1.961393-3 1.310695+1 1.981196-3 1.947231+1 1.992441-3 2.186875+1 2.004986-3 2.300190+1 2.029053-3 2.437940+1 2.061150-3 2.871915+1 2.083017-3 2.983480+1 2.278288-3 3.026484+1 2.401510-3 2.933741+1 2.430264-3 3.075334+1 2.456517-3 3.220693+1 2.585235-3 3.042871+1 2.738408-3 2.820597+1 2.818383-3 2.857597+1 2.998553-3 2.646850+1 3.091083-3 2.629550+1 3.590826-3 2.139829+1 4.196956-3 1.714115+1 4.848642-3 1.385470+1 5.581086-3 1.122587+1 6.339249-3 9.242983+0 7.253487-3 7.501805+0 8.244389-3 6.136906+0 9.415645-3 4.968429+0 1.061145-2 4.115702+0 1.068438-2 4.244194+0 1.073062-2 4.564364+0 1.077169-2 5.127561+0 1.081629-2 6.067934+0 1.091568-2 8.537230+0 1.097801-2 9.490751+0 1.104055-2 9.837320+0 1.153255-2 9.298825+0 1.218974-2 8.536135+0 1.229384-2 8.830515+0 1.249780-2 1.068463+1 1.260541-2 1.101613+1 1.281999-2 1.101110+1 1.307322-2 1.190859+1 1.346489-2 1.157067+1 1.551991-2 9.271454+0 1.778280-2 7.458043+0 2.009581-2 6.113997+0 2.285928-2 4.943405+0 2.614509-2 3.952405+0 2.917889-2 3.282755+0 3.246755-2 2.737497+0 3.666886-2 2.220977+0 4.128703-2 1.809228+0 4.653546-2 1.468760+0 5.235297-2 1.194664+0 5.886318-2 9.717157-1 6.649144-2 7.827990-1 7.232716-2 6.801989-1 7.269118-2 7.020104-1 7.291811-2 7.472068-1 7.312267-2 8.275571-1 7.329731-2 9.380295-1 7.350585-2 1.130488+0 7.375166-2 1.441376+0 7.440145-2 2.429707+0 7.476000-2 2.821634+0 7.518188-2 3.043345+0 7.600502-2 3.090257+0 8.835885-2 2.434547+0 1.003621-1 1.981783+0 1.145317-1 1.591191+0 1.265576-1 1.346557+0 1.449884-1 1.070797+0 1.626565-1 8.813535-1 1.823175-1 7.266719-1 2.041738-1 6.002763-1 2.280896-1 4.979726-1 2.557011-1 4.119693-1 2.860379-1 3.425949-1 3.217964-1 2.834373-1 3.616726-1 2.361000-1 4.076735-1 1.966639-1 4.629636-1 1.632227-1 5.282647-1 1.355837-1 5.971201-1 1.150640-1 6.839117-1 9.687416-2 7.745733-1 8.346144-2 9.016309-1 7.042359-2 1.120601+0 5.583843-2 1.286622+0 4.782658-2 1.477239+0 4.096429-2 1.696098+0 3.508662-2 1.947381+0 3.005229-2 2.235892+0 2.574030-2 2.580236+0 2.192701-2 3.086391+0 1.793348-2 3.543651+0 1.536033-2 4.068655+0 1.315639-2 4.671441+0 1.126867-2 5.363532+0 9.651813-3 6.158159+0 8.266944-3 7.070513+0 7.080779-3 8.118035+0 6.064809-3 9.320751+0 5.194613-3 9.760024+0 4.933236-3 1.000000+1 1.020021-2 1 76000 7 0 1.902000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-7.590114+1 3.022317-6-7.455184+1 3.947200-6-7.121774+1 4.235980-6-6.701566+1 4.347142-6-6.226136+1 4.393486-6-5.754193+1 4.412834-6-5.324897+1 4.460014-6-3.988830+1 4.470876-6-3.861605+1 4.482755-6-4.008594+1 4.491581-6-4.369404+1 4.500406-6-4.950282+1 4.510928-6-5.880641+1 4.528085-6-7.620947+1 4.536474-6-6.777561+1 4.549787-6-5.775693+1 4.560219-6-5.317506+1 4.573467-6-5.162096+1 4.587299-6-5.397214+1 4.643872-6-7.039447+1 4.687456-6-7.635703+1 4.823363-6-6.284229+1 4.865781-6-5.532893+1 4.887396-6-4.852701+1 4.901549-6-4.086837+1 4.917298-6-3.344927+1 4.930847-6-2.586910+1 4.942891-6-2.008282+1 4.945526-6-1.914770+1 4.954935-6-1.690327+1 4.959546-6-1.686350+1 4.966979-6-1.829664+1 4.971590-6-2.032314+1 4.976036-6-2.322845+1 4.984481-6-3.118957+1 4.989562-6-3.774798+1 5.000415-6-5.443352+1 5.012287-6-7.645963+1 5.019705-6-6.175033+1 5.029887-6-4.311028+1 5.039902-6-2.805759+1 5.043298-6-2.399401+1 5.051288-6-1.624784+1 5.055898-6-1.309369+1 5.060344-6-1.100778+1 5.064837-6-9.839890+0 5.067095-6-9.433502+0 5.070483-6-9.168097+0 5.072176-6-9.236693+0 5.079892-6-1.081635+1 5.084409-6-1.217397+1 5.087420-6-1.378045+1 5.096641-6-1.791105+1 5.114142-6-2.757956+1 5.132585-6-3.607338+1 5.138099-6-3.955117+1 5.153783-6-4.513006+1 5.183475-6-5.134571+1 5.231609-6-5.709150+1 5.324949-6-6.287039+1 5.515898-6-6.822927+1 5.976609-6-7.626911+1 6.018040-6-7.510863+1 6.105749-6-6.820990+1 6.138789-6-7.106011+1 6.162784-6-7.635120+1 6.206941-6-6.371763+1 6.233942-6-6.029771+1 6.265462-6-6.111572+1 6.357521-6-6.844878+1 6.692054-6-7.665904+1 6.826966-6-6.886480+1 6.865641-6-7.173852+1 6.891226-6-7.654955+1 6.945287-6-6.197208+1 6.973110-6-5.825311+1 7.005405-6-5.837030+1 7.112676-6-6.665190+1 7.338573-6-7.204082+1 7.574572-6-7.081449+1 7.680682-6-7.061479+1 7.871781-6-7.292068+1 8.042919-6-7.362819+1 8.173630-6-7.033239+1 8.698297-6-7.356176+1 8.880356-6-7.317126+1 9.155404-6-7.401454+1 9.351941-6-7.235205+1 9.907490-6-7.389121+1 1.906044-5-7.644521+1 2.730000-5-7.234726+1 3.468979-5-6.811321+1 3.903943-5-6.195042+1 4.059855-5-5.655418+1 4.123583-5-5.178426+1 4.197010-5-4.064193+1 4.217370-5-3.938771+1 4.241229-5-3.875815+1 4.251067-5-3.693969+1 4.258090-5-3.344545+1 4.273825-5-2.687119+1 4.285400-5-1.978301+1 4.287200-5-1.825767+1 4.297019-5-1.222117+1 4.297767-5-1.160693+1 4.299170-5-1.080765+1 4.301625-5-9.789924+0 4.310263-5-7.374375+0 4.312490-5-7.240637+0 4.314160-5-7.358440+0 4.316665-5-7.799684+0 4.320443-5-8.871407+0 4.322670-5-9.950329+0 4.324340-5-1.097659+1 4.328098-5-1.398475+1 4.333804-5-2.034625+1 4.337920-5-2.593579+1 4.347308-5-4.268506+1 4.358061-5-6.649807+1 4.360617-5-5.971478+1 4.373524-5-3.081991+1 4.381461-5-1.614662+1 4.383763-5-1.242945+1 4.385642-5-9.796911+0 4.388461-5-6.279013+0 4.391280-5-3.049776+0 4.392590-5-1.649447+0 4.394881-5 3.797320-1 4.396599-5 1.659242+0 4.399176-5 3.222228+0 4.400465-5 3.837530+0 4.401754-5 4.299497+0 4.404372-5 5.042798+0 4.406336-5 5.457691+0 4.409282-5 5.715464+0 4.410754-5 5.630935+0 4.417464-5 3.903143+0 4.420082-5 3.024379+0 4.421392-5 2.434387+0 4.422701-5 1.592058+0 4.424010-5 7.108079-1 4.428592-5-1.688083+0 4.430883-5-2.983748+0 4.432029-5-3.724311+0 4.433174-5-4.650521+0 4.447248-5-1.407043+1 4.461976-5-2.224523+1 4.467954-5-2.679147+1 4.478510-5-3.168157+1 4.493794-5-3.640559+1 4.517716-5-4.136123+1 4.560577-5-4.686040+1 4.623082-5-5.155296+1 4.756007-5-5.697524+1 5.068858-5-6.562259+1 5.172181-5-6.691195+1 5.269449-5-6.236194+1 5.317939-5-6.088791+1 5.375131-5-6.333822+1 5.396040-5-6.055375+1 5.428524-5-4.998664+1 5.457230-5-3.957814+1 5.468290-5-3.749431+1 5.478218-5-3.783870+1 5.489928-5-4.068001+1 5.500763-5-4.626408+1 5.517634-5-6.136465+1 5.521620-5-6.618065+1 5.528014-5-6.121079+1 5.537912-5-4.922173+1 5.549460-5-3.631087+1 5.561345-5-2.555425+1 5.569353-5-2.034182+1 5.575580-5-1.721889+1 5.580654-5-1.537321+1 5.587907-5-1.368065+1 5.593735-5-1.316984+1 5.597232-5-1.343958+1 5.608451-5-1.495174+1 5.623485-5-1.925432+1 5.643599-5-2.599550+1 5.663663-5-3.167553+1 5.671051-5-3.428372+1 5.694727-5-3.874672+1 5.735538-5-4.314838+1 5.807318-5-4.748284+1 5.970330-5-5.191869+1 6.381709-5-5.646512+1 1.050000-4-6.143085+1 1.493363-4-6.622957+1 1.950000-4-6.538705+1 2.759420-4-5.870671+1 3.141380-4-5.336586+1 4.016661-4-4.631868+1 4.457875-4-4.441864+1 4.543001-4-4.435974+1 4.624728-4-4.283306+1 5.675518-4-3.678120+1 7.343651-4-3.074644+1 8.865329-4-2.774949+1 1.077705-3-2.599961+1 1.295221-3-2.567199+1 1.528525-3-2.687013+1 1.707433-3-2.931650+1 1.821011-3-3.238542+1 1.890438-3-3.592384+1 1.926056-3-3.941052+1 1.965113-3-4.704425+1 1.981196-3-4.698094+1 2.010262-3-4.311747+1 2.047242-3-4.212204+1 2.095573-3-3.632566+1 2.164315-3-3.197188+1 2.278288-3-2.717863+1 2.374789-3-2.468112+1 2.417920-3-2.467862+1 2.448930-3-2.502107+1 2.477758-3-2.343490+1 2.518942-3-2.089765+1 2.585235-3-1.869115+1 2.686479-3-1.668706+1 2.754663-3-1.615759+1 2.800844-3-1.585489+1 2.860869-3-1.427778+1 2.952479-3-1.296805+1 3.031229-3-1.252548+1 3.119206-3-1.092085+1 3.258687-3-9.357272+0 3.452234-3-7.889433+0 3.672823-3-6.709013+0 3.981072-3-5.610380+0 4.320724-3-4.841221+0 4.694761-3-4.347557+0 5.182404-3-4.042191+0 5.821032-3-3.951664+0 6.622403-3-4.143111+0 7.546957-3-4.606699+0 8.573069-3-5.388776+0 9.415645-3-6.354351+0 9.972808-3-7.354703+0 1.031476-2-8.331714+0 1.054447-2-9.435785+0 1.066455-2-1.048940+1 1.083033-2-1.288697+1 1.089726-2-1.305287+1 1.097801-2-1.208759+1 1.111060-2-1.017510+1 1.123487-2-9.220457+0 1.144299-2-8.376574+0 1.173303-2-7.844780+0 1.201965-2-7.834080+0 1.218974-2-8.234742+0 1.238558-2-9.256891+0 1.246861-2-9.167471+0 1.268490-2-7.835670+0 1.281999-2-7.591467+0 1.294482-2-7.432094+0 1.307322-2-6.780070+0 1.323231-2-5.883751+0 1.346489-2-5.054236+0 1.380654-2-4.236648+0 1.428411-2-3.429370+0 1.484432-2-2.743141+0 1.551991-2-2.153394+0 1.627333-2-1.683425+0 1.696245-2-1.358915+0 1.778280-2-1.077246+0 1.826752-2-9.498801-1 1.905461-2-7.872397-1 1.987659-2-6.624689-1 2.095318-2-5.476710-1 2.193003-2-4.810295-1 2.320587-2-4.348834-1 2.430105-2-4.176389-1 2.614509-2-4.236600-1 2.806217-2-4.561527-1 3.129077-2-5.499086-1 4.820649-2-1.172178+0 5.651099-2-1.508617+0 6.242453-2-1.815788+0 6.649144-2-2.123185+0 6.927514-2-2.453368+0 7.098586-2-2.783969+0 7.209516-2-3.146040+0 7.277479-2-3.547181+0 7.375166-2-4.380284+0 7.411739-2-4.452483+0 7.449980-2-4.255216+0 7.552824-2-3.291622+0 7.625142-2-2.871202+0 7.734945-2-2.485053+0 7.896021-2-2.119338+0 8.102552-2-1.810297+0 8.405488-2-1.495414+0 8.706537-2-1.281672+0 9.069423-2-1.100560+0 9.468054-2-9.570387-1 1.003621-1-8.121459-1 1.059266-1-7.134208-1 1.118408-1-6.432100-1 1.176462-1-5.967050-1 1.265576-1-5.525526-1 1.404429-1-5.215270-1 1.626565-1-5.193715-1 2.967329-1-6.547491-1 4.244744-1-7.280761-1 6.566648-1-7.825942-1 1.228714+0-8.134812-1 3.710658+0-8.260771-1 1.000000+1-8.276698-1 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 5.976724-5 1.024000-6 7.027197-5 1.050036-6 7.429794-5 1.090802-6 8.051559-5 1.126473-6 8.838478-5 1.188896-6 1.082187-4 1.235714-6 1.292011-4 1.270827-6 1.494376-4 1.323497-6 1.882940-4 1.386329-6 2.500599-4 1.423589-6 2.971003-4 1.443913-6 3.272055-4 1.489035-6 4.045887-4 1.536000-6 4.960596-4 1.583554-6 5.600082-4 1.633040-6 6.368253-4 1.684072-6 7.367397-4 1.736700-6 8.659349-4 1.790971-6 1.032425-3 1.846939-6 1.246582-3 1.904656-6 1.518647-3 1.920000-6 1.595438-3 1.964177-6 1.809373-3 2.025557-6 2.158472-3 2.088856-6 2.605459-3 2.154132-6 3.181638-3 2.221449-6 3.929416-3 2.304000-6 5.093519-3 2.362459-6 6.039438-3 2.400000-6 6.711170-3 2.433814-6 7.311616-3 2.502939-6 8.709500-3 2.569904-6 1.039451-2 2.634777-6 1.241079-2 2.697622-6 1.480144-2 2.758503-6 1.761261-2 2.817481-6 2.090044-2 2.880000-6 2.505238-2 2.929967-6 2.882337-2 3.000000-6 3.503326-2 3.085854-6 4.411403-2 3.134603-6 5.038940-2 3.181828-6 5.744876-2 3.227578-6 6.535716-2 3.271898-6 7.418163-2 3.314833-6 8.398499-2 3.396720-6 1.064732-1 3.435754-6 1.193302-1 3.511383-6 1.490879-1 3.582285-6 1.843061-1 3.648756-6 2.254978-1 3.711073-6 2.735209-1 3.769494-6 3.289497-1 3.824265-6 3.920101-1 3.875612-6 4.640091-1 3.923750-6 5.460346-1 3.968879-6 6.389377-1 4.011188-6 7.435219-1 4.050852-6 8.603993-1 4.088038-6 9.900604-1 4.122899-6 1.133192+0 4.155582-6 1.290809+0 4.186221-6 1.464146+0 4.214946-6 1.654358+0 4.241876-6 1.862467+0 4.267122-6 2.089439+0 4.290791-6 2.336238+0 4.312980-6 2.603828+0 4.333782-6 2.893171+0 4.353285-6 3.205209+0 4.371568-6 3.540863+0 4.388709-6 3.901053+0 4.404778-6 4.286742+0 4.419843-6 4.698978+0 4.433967-6 5.138897+0 4.447208-6 5.607707+0 4.459621-6 6.106660+0 4.471258-6 6.637038+0 4.482168-6 7.200187+0 4.492396-6 7.797595+0 4.502550-6 8.470823+0 4.510975-6 9.102535+0 4.527830-6 1.062450+1 4.542579-6 1.234912+1 4.555484-6 1.430612+1 4.566776-6 1.651585+1 4.576656-6 1.897867+1 4.585302-6 2.167035+1 4.592866-6 2.454463+1 4.599485-6 2.754072+1 4.605277-6 3.059228+1 4.610345-6 3.363520+1 4.618659-6 3.947989+1 4.637225-6 5.704661+1 4.650219-6 7.357634+1 4.657254-6 8.403924+1 4.662972-6 9.328750+1 4.668689-6 1.031453+2 4.680124-6 1.243341+2 4.681554-6 1.270847+2 4.691559-6 1.466184+2 4.695490-6 1.542893+2 4.702995-6 1.685960+2 4.706925-6 1.757768+2 4.710677-6 1.823412+2 4.714430-6 1.885559+2 4.719432-6 1.961863+2 4.724257-6 2.027077+2 4.728723-6 2.079045+2 4.732476-6 2.115773+2 4.738015-6 2.157409+2 4.744715-6 2.186233+2 4.749785-6 2.191562+2 4.756762-6 2.175162+2 4.761779-6 2.146528+2 4.767156-6 2.100755+2 4.772559-6 2.039961+2 4.775987-6 1.994266+2 4.784090-6 1.866904+2 4.788512-6 1.787597+2 4.792239-6 1.716391+2 4.797155-6 1.617575+2 4.800986-6 1.537653+2 4.805910-6 1.432410+2 4.810913-6 1.324084+2 4.816139-6 1.211029+2 4.823063-6 1.064062+2 4.828066-6 9.614946+1 4.829495-6 9.329196+1 4.834855-6 8.291528+1 4.840216-6 7.314056+1 4.851651-6 5.458630+1 4.856051-6 4.833645+1 4.859568-6 4.370195+1 4.863086-6 3.938713+1 4.868089-6 3.379104+1 4.873315-6 2.860074+1 4.878693-6 2.392359+1 4.883085-6 2.057243+1 4.887410-6 1.765742+1 4.893770-6 1.400492+1 4.899983-6 1.109209+1 4.915852-6 6.034869+0 4.921551-6 4.879240+0 4.925277-6 4.271640+0 4.928944-6 3.773399+0 4.930757-6 3.560393+0 4.934339-6 3.197927+0 4.937862-6 2.910206+0 5.049391-6 9.398013+0 5.056362-6 1.100909+1 5.062897-6 1.283324+1 5.069023-6 1.487824+1 5.074767-6 1.714789+1 5.080151-6 1.964175+1 5.089932-6 2.527897+1 5.098806-6 3.193826+1 5.129061-6 7.163914+1 5.139577-6 9.430570+1 5.148915-6 1.195839+2 5.155856-6 1.419288+2 5.163203-6 1.691804+2 5.169716-6 1.965975+2 5.173623-6 2.145601+2 5.179975-6 2.461946+2 5.186326-6 2.808073+2 5.199029-6 3.583534+2 5.200617-6 3.687467+2 5.211732-6 4.449197+2 5.216099-6 4.760828+2 5.224435-6 5.364671+2 5.230886-6 5.831029+2 5.237138-6 6.273315+2 5.243589-6 6.710637+2 5.249841-6 7.107294+2 5.255399-6 7.430493+2 5.260534-6 7.699471+2 5.263338-6 7.832733+2 5.270781-6 8.134663+2 5.276593-6 8.313242+2 5.283365-6 8.452892+2 5.289437-6 8.512750+2 5.293105-6 8.518443+2 5.298766-6 8.482311+2 5.304523-6 8.390782+2 5.306731-6 8.341469+2 5.314150-6 8.121160+2 5.319220-6 7.925408+2 5.322640-6 7.774600+2 5.327647-6 7.529074+2 5.332510-6 7.265754+2 5.338762-6 6.897148+2 5.344319-6 6.547107+2 5.349678-6 6.195123+2 5.357816-6 5.644678+2 5.364168-6 5.210856+2 5.371313-6 4.727864+2 5.376871-6 4.361213+2 5.389574-6 3.571428+2 5.393940-6 3.319525+2 5.402277-6 2.870888+2 5.411804-6 2.413275+2 5.422937-6 1.954484+2 5.440032-6 1.401093+2 5.456740-6 1.012896+2 5.467662-6 8.248005+1 5.473060-6 7.475279+1 5.483770-6 6.197008+1 5.494313-6 5.210882+1 5.504691-6 4.445268+1 5.514907-6 3.844721+1 5.524963-6 3.367375+1 5.534863-6 2.982201+1 5.548188-6 2.563423+1 5.554200-6 2.403711+1 5.563642-6 2.181861+1 5.572937-6 1.992157+1 5.591236-6 1.682755+1 5.608964-6 1.443644+1 5.626137-6 1.253723+1 5.642774-6 1.099688+1 5.658891-6 9.726737+0 5.674504-6 8.664997+0 5.704282-6 6.999871+0 5.732672-6 5.746091+0 5.807631-6 3.451638+0 5.850121-6 2.581659+0 5.888671-6 1.969656+0 5.923243-6 1.529214+0 5.951916-6 1.226513+0 5.977741-6 9.948615-1 6.022934-6 6.677388-1 6.056830-6 4.773415-1 6.072032-6 4.051932-1 6.107673-6 2.645759-1 6.158516-6 1.249575-1 6.173674-6 9.589499-2 6.183624-6 7.980509-2 6.203991-6 5.409760-2 6.219150-6 4.115421-2 6.234308-6 3.339609-2 6.249466-6 3.075011-2 6.264625-6 3.316009-2 6.267318-6 3.411421-2 6.279783-6 4.059103-2 6.294942-6 5.303283-2 6.310100-6 7.050438-2 6.325258-6 9.305866-2 6.340417-6 1.207884-1 6.355575-6 1.538309-1 6.370734-6 1.923689-1 6.385892-6 2.366264-1 6.392859-6 2.589559-1 6.401050-6 2.868601-1 6.416209-6 3.433490-1 6.431367-6 4.063901-1 6.446526-6 4.763079-1 6.461684-6 5.534814-1 6.519459-6 9.247842-1 6.546083-6 1.147734+0 6.588217-6 1.596100+0 6.645026-6 2.464007+0 6.670813-6 2.981313+0 6.688913-6 3.387432+0 6.704954-6 3.768270+0 6.718482-6 4.095493+0 6.731751-6 4.411657+0 6.743359-6 4.675140+0 6.752731-6 4.872747+0 6.762129-6 5.052134+0 6.767958-6 5.151880+0 6.775535-6 5.266220+0 6.790286-6 5.431707+0 6.803610-6 5.507835+0 6.811144-6 5.517749+0 6.822487-6 5.486609+0 6.830510-6 5.431644+0 6.838052-6 5.356128+0 6.843984-6 5.281389+0 6.852633-6 5.150062+0 6.860998-6 5.000486+0 6.870314-6 4.811860+0 6.879340-6 4.611545+0 6.892765-6 4.292788+0 6.900701-6 4.099167+0 6.929001-6 3.451243+0 6.946056-6 3.166904+0 6.954584-6 3.081572+0 6.963111-6 3.049048+0 6.971639-6 3.082976+0 6.975902-6 3.129751+0 6.980166-6 3.199324+0 6.988693-6 3.416646+0 6.992957-6 3.569726+0 6.997221-6 3.756275+0 7.005748-6 4.242417+0 7.010061-6 4.552590+0 7.014276-6 4.902100+0 7.022803-6 5.764934+0 7.027067-6 6.282382+0 7.035730-6 7.531691+0 7.058663-6 1.235082+1 7.069342-6 1.546997+1 7.078021-6 1.846169+1 7.086699-6 2.187886+1 7.104057-6 2.998641+1 7.106227-6 3.111424+1 7.121415-6 3.963282+1 7.128108-6 4.367960+1 7.138810-6 5.040035+1 7.146078-6 5.505780+1 7.153562-6 5.985189+1 7.157833-6 6.255626+1 7.164840-6 6.689413+1 7.172396-6 7.136249+1 7.179104-6 7.507846+1 7.186517-6 7.883317+1 7.188376-6 7.970834+1 7.198393-6 8.389691+1 7.206033-6 8.642709+1 7.211325-6 8.780883+1 7.217418-6 8.900214+1 7.224921-6 8.986626+1 7.230549-6 9.006801+1 7.233714-6 9.001295+1 7.240836-6 8.945055+1 7.248511-6 8.818336+1 7.261426-6 8.461367+1 7.269059-6 8.174790+1 7.274357-6 7.947358+1 7.279164-6 7.723219+1 7.287050-6 7.324190+1 7.290270-6 7.151811+1 7.295905-6 6.839551+1 7.303301-6 6.414031+1 7.310433-6 5.993056+1 7.312810-6 5.851495+1 7.321510-6 5.332838+1 7.328035-6 4.947507+1 7.332316-6 4.698376+1 7.339905-6 4.267276+1 7.348834-6 3.782270+1 7.361230-6 3.158462+1 7.368107-6 2.840643+1 7.389789-6 1.981306+1 7.400265-6 1.643998+1 7.411650-6 1.331944+1 7.424624-6 1.039836+1 7.456644-6 5.565636+0 7.468194-6 4.464950+0 7.479023-6 3.662278+0 7.489175-6 3.075153+0 7.498693-6 2.644216+0 7.516538-6 2.079195+0 7.532153-6 1.778470+0 7.545816-6 1.621973+0 7.569725-6 1.517871+0 7.587776-6 1.544413+0 7.600000-6 1.603336+0 7.641455-6 2.020031+0 7.660264-6 2.318414+0 7.671647-6 2.533358+0 7.722743-6 3.815401+0 7.727917-6 3.971678+0 7.746017-6 4.548153+0 7.751393-6 4.726868+0 7.764985-6 5.189934+0 7.771488-6 5.415663+0 7.785151-6 5.894796+0 7.794550-6 6.225823+0 7.806414-6 6.642978+0 7.818232-6 7.056675+0 7.827803-6 7.390957+0 7.844282-6 7.970888+0 7.877795-6 9.256547+0 7.885185-6 9.584898+0 7.897593-6 1.020064+1 7.911004-6 1.098873+1 7.919218-6 1.155251+1 7.939740-6 1.330970+1 7.952147-6 1.466338+1 7.965398-6 1.638753+1 7.976960-6 1.813747+1 8.004940-6 2.324635+1 8.018050-6 2.595359+1 8.028325-6 2.813320+1 8.038700-6 3.032174+1 8.048739-6 3.236497+1 8.057286-6 3.399910+1 8.065482-6 3.543729+1 8.070312-6 3.621225+1 8.080318-6 3.761588+1 8.089668-6 3.864668+1 8.094525-6 3.906407+1 8.102840-6 3.957912+1 8.109638-6 3.980614+1 8.119992-6 3.980966+1 8.130839-6 3.937392+1 8.137665-6 3.887778+1 8.150696-6 3.749121+1 8.159190-6 3.630954+1 8.168640-6 3.477639+1 8.174716-6 3.368834+1 8.180791-6 3.253414+1 8.187614-6 3.117397+1 8.196570-6 2.931372+1 8.205205-6 2.747138+1 8.216378-6 2.506900+1 8.224672-6 2.330542+1 8.237120-6 2.074288+1 8.244588-6 1.927625+1 8.264635-6 1.568928+1 8.294665-6 1.144544+1 8.306474-6 1.016160+1 8.317584-6 9.141008+0 8.324251-6 8.610470+0 8.335968-6 7.815208+0 8.344755-6 7.323892+0 8.357936-6 6.736242+0 8.371117-6 6.303758+0 8.384949-6 5.989323+0 8.403022-6 5.752279+0 8.426445-6 5.669565+0 8.438095-6 5.701512+0 8.473045-6 6.009997+0 8.494967-6 6.321320+0 8.534649-6 6.996277+0 8.551137-6 7.276816+0 8.568863-6 7.549420+0 8.583107-6 7.732409+0 8.591653-6 7.822098+0 8.604985-6 7.926648+0 8.618317-6 7.983382+0 8.639108-6 7.969337+0 8.644334-6 7.945957+0 8.660012-6 7.829984+0 8.665797-6 7.770825+0 8.683151-6 7.547019+0 8.690441-6 7.435196+0 8.703198-6 7.219987+0 8.712766-6 7.046474+0 8.734294-6 6.638108+0 8.761742-6 6.132134+0 8.780983-6 5.820929+0 8.801877-6 5.546318+0 8.821459-6 5.360660+0 8.837096-6 5.266699+0 8.850425-6 5.226092+0 8.858966-6 5.219472+0 8.867726-6 5.228565+0 8.876043-6 5.252186+0 8.906343-6 5.463595+0 8.920741-6 5.634371+0 8.933347-6 5.821851+0 8.943990-6 6.007870+0 8.958011-6 6.291454+0 8.983993-6 6.927444+0 9.035566-6 8.506296+0 9.053828-6 9.099050+0 9.065532-6 9.465817+0 9.080579-6 9.905819+0 9.092762-6 1.022424+1 9.102938-6 1.045687+1 9.116021-6 1.070304+1 9.127023-6 1.085812+1 9.140776-6 1.097914+1 9.155216-6 1.101496+1 9.162781-6 1.099611+1 9.182035-6 1.083561+1 9.189599-6 1.073118+1 9.207603-6 1.040115+1 9.223192-6 1.003955+1 9.232545-6 9.797643+0 9.248955-6 9.344433+0 9.270053-6 8.742024+0 9.292058-6 8.136968+0 9.314062-6 7.596766+0 9.336067-6 7.148264+0 9.343209-6 7.024763+0 9.364636-6 6.720634+0 9.380076-6 6.561216+0 9.393376-6 6.460984+0 9.408780-6 6.383540+0 9.425747-6 6.340205+0 9.448947-6 6.339872+0 9.472148-6 6.393546+0 9.495348-6 6.489833+0 9.541749-6 6.788347+0 9.570612-6 7.043406+0 9.599009-6 7.349397+0 9.627455-6 7.709912+0 9.698197-6 8.750672+0 9.729107-6 9.182614+0 9.753449-6 9.466060+0 9.768715-6 9.607727+0 9.787657-6 9.738486+0 9.796952-6 9.783484+0 9.816100-6 9.836718+0 9.843352-6 9.829457+0 9.873729-6 9.737755+0 9.923964-6 9.534684+0 9.957584-6 9.463319+0 9.981165-6 9.472981+0 1.000475-5 9.536185+0 1.001400-5 9.574805+0 1.006080-5 9.864555+0 1.011830-5 1.035350+1 1.016691-5 1.084944+1 1.020251-5 1.129389+1 1.024094-5 1.189037+1 1.027780-5 1.258409+1 1.033744-5 1.383374+1 1.036623-5 1.438587+1 1.038322-5 1.466153+1 1.040507-5 1.493847+1 1.042897-5 1.512015+1 1.045233-5 1.516064+1 1.047787-5 1.504647+1 1.048477-5 1.498842+1 1.051140-5 1.466780+1 1.053731-5 1.423466+1 1.056655-5 1.365283+1 1.063110-5 1.230682+1 1.065380-5 1.188899+1 1.067618-5 1.152985+1 1.069856-5 1.123053+1 1.072615-5 1.094780+1 1.074816-5 1.078946+1 1.077324-5 1.067698+1 1.079143-5 1.063678+1 1.083296-5 1.065834+1 1.085946-5 1.074298+1 1.090645-5 1.100644+1 1.096240-5 1.147951+1 1.107730-5 1.274495+1 1.111820-5 1.314662+1 1.115463-5 1.341696+1 1.118162-5 1.355303+1 1.121628-5 1.365060+1 1.126415-5 1.368271+1 1.133830-5 1.369548+1 1.136563-5 1.373896+1 1.140399-5 1.385277+1 1.145870-5 1.410241+1 1.158015-5 1.473403+1 1.162481-5 1.493207+1 1.177570-5 1.550207+1 1.183943-5 1.569742+1 1.191014-5 1.585178+1 1.201427-5 1.595366+1 1.213634-5 1.604615+1 1.220758-5 1.618895+1 1.227465-5 1.640278+1 1.234654-5 1.669776+1 1.274333-5 1.863374+1 1.318257-5 2.085542+1 1.418695-5 2.639566+1 1.486639-5 3.056954+1 1.659587-5 4.268659+1 1.850000-5 5.883934+1 2.018366-5 7.548761+1 2.162719-5 9.130478+1 2.300000-5 1.074272+2 2.410784-5 1.208780+2 2.512382-5 1.334064+2 2.555942-5 1.387955+2 2.634529-5 1.483078+2 2.693166-5 1.553592+2 2.799261-5 1.677265+2 2.873436-5 1.759309+2 2.916000-5 1.804075+2 3.018540-5 1.906654+2 3.120000-5 1.995893+2 3.235937-5 2.082513+2 3.333385-5 2.140265+2 3.451333-5 2.193736+2 3.543526-5 2.222822+2 3.636075-5 2.237311+2 3.773520-5 2.243867+2 3.966194-5 2.332789+2 4.088304-5 2.415085+2 4.154305-5 2.478976+2 4.216109-5 2.563586+2 4.254528-5 2.635704+2 4.294411-5 2.739064+2 4.326696-5 2.863467+2 4.346086-5 2.970410+2 4.364762-5 3.107276+2 4.378391-5 3.231756+2 4.399945-5 3.469552+2 4.443053-5 4.026096+2 4.464606-5 4.335402+2 4.475383-5 4.525530+2 4.486160-5 4.765591+2 4.489865-5 4.864127+2 4.496937-5 5.080691+2 4.500641-5 5.210973+2 4.507714-5 5.496005+2 4.515567-5 5.873731+2 4.520569-5 6.150048+2 4.529402-5 6.707335+2 4.550046-5 8.321754+2 4.562606-5 9.448915+2 4.573392-5 1.043644+3 4.580568-5 1.107441+3 4.586277-5 1.155804+3 4.593996-5 1.216243+3 4.601470-5 1.267752+3 4.605624-5 1.292824+3 4.613114-5 1.330717+3 4.619008-5 1.353301+3 4.626285-5 1.371677+3 4.627963-5 1.374365+3 4.639296-5 1.376833+3 4.641662-5 1.373877+3 4.650086-5 1.353752+3 4.655378-5 1.333694+3 4.661896-5 1.301639+3 4.666151-5 1.276675+3 4.672541-5 1.233852+3 4.679612-5 1.180117+3 4.682738-5 1.154611+3 4.688296-5 1.107208+3 4.696589-5 1.033111+3 4.704969-5 9.565499+2 4.717474-5 8.445326+2 4.742515-5 6.503962+2 4.752449-5 5.891053+2 4.758943-5 5.541477+2 4.765361-5 5.234079+2 4.771679-5 4.966238+2 4.784020-5 4.531904+2 4.795978-5 4.205074+2 4.813224-5 3.855341+2 4.824582-5 3.681197+2 4.845609-5 3.434710+2 4.875053-5 3.186868+2 4.910462-5 2.965390+2 5.038886-5 2.383745+2 5.070108-5 2.258904+2 5.087798-5 2.196878+2 5.102244-5 2.155144+2 5.114859-5 2.127757+2 5.126930-5 2.111145+2 5.137617-5 2.105144+2 5.152099-5 2.110574+2 5.165767-5 2.129423+2 5.176219-5 2.151709+2 5.197211-5 2.211483+2 5.234058-5 2.331653+2 5.251816-5 2.381811+2 5.276673-5 2.434298+2 5.301353-5 2.465689+2 5.322261-5 2.480334+2 5.373359-5 2.505036+2 5.397330-5 2.524364+2 5.455489-5 2.582748+2 5.471502-5 2.592335+2 5.495030-5 2.596363+2 5.512929-5 2.591888+2 5.533583-5 2.580681+2 5.613560-5 2.510692+2 5.638601-5 2.493942+2 5.664548-5 2.500514+2 5.674490-5 2.514823+2 5.696037-5 2.580515+2 5.712796-5 2.675912+2 5.729163-5 2.818631+2 5.742493-5 2.978743+2 5.754772-5 3.166011+2 5.764434-5 3.342179+2 5.777582-5 3.623724+2 5.823054-5 4.915949+2 5.837021-5 5.369783+2 5.850464-5 5.805337+2 5.863221-5 6.203569+2 5.875815-5 6.570406+2 5.887974-5 6.889696+2 5.900403-5 7.171013+2 5.911788-5 7.380290+2 5.922185-5 7.524181+2 5.932071-5 7.613859+2 5.938343-5 7.644935+2 5.950546-5 7.644475+2 5.958104-5 7.602773+2 5.965545-5 7.530879+2 5.973443-5 7.422232+2 5.983532-5 7.238495+2 5.990894-5 7.076120+2 6.001560-5 6.805988+2 6.005115-5 6.708479+2 6.019335-5 6.293188+2 6.038445-5 5.710334+2 6.071249-5 4.793291+2 6.078999-5 4.607623+2 6.089919-5 4.369564+2 6.104479-5 4.094370+2 6.122106-5 3.820259+2 6.167124-5 3.345659+2 6.182568-5 3.239822+2 6.197907-5 3.159822+2 6.212663-5 3.106589+2 6.227842-5 3.076534+2 6.243022-5 3.071245+2 6.254071-5 3.081953+2 6.266955-5 3.107793+2 6.288561-5 3.173772+2 6.318920-5 3.276179+2 6.334809-5 3.315245+2 6.351537-5 3.336053+2 6.364634-5 3.335979+2 6.377341-5 3.322944+2 6.395439-5 3.287233+2 6.434200-5 3.189992+2 6.454504-5 3.155076+2 6.470716-5 3.142668+2 6.495473-5 3.148871+2 6.543426-5 3.197221+2 6.558623-5 3.207219+2 6.590263-5 3.206401+2 6.622937-5 3.178308+2 6.697774-5 3.080761+2 6.737700-5 3.036775+2 6.763496-5 3.015315+2 6.794478-5 2.998865+2 6.823188-5 2.993632+2 6.866544-5 3.001547+2 6.956970-5 3.039998+2 7.036345-5 3.060967+2 7.098589-5 3.062980+2 7.307699-5 3.025690+2 7.616643-5 2.947374+2 7.791600-5 2.899945+2 7.966178-5 2.844056+2 8.256267-5 2.748255+2 8.473885-5 2.675917+2 8.698675-5 2.599034+2 8.918743-5 2.522459+2 9.158918-5 2.436904+2 9.411198-5 2.345060+2 9.626492-5 2.263362+2 9.866127-5 2.166997+2 9.940705-5 2.141821+2 1.015640-4 2.094533+2 1.030171-4 2.053287+2 1.060000-4 1.954023+2 1.162921-4 1.638580+2 1.259911-4 1.402697+2 1.297786-4 1.328659+2 1.336491-4 1.263846+2 1.380384-4 1.204715+2 1.433013-4 1.154624+2 1.458571-4 1.138804+2 1.505333-4 1.123747+2 1.549913-4 1.128731+2 1.612501-4 1.167045+2 1.669417-4 1.233200+2 1.708133-4 1.295966+2 1.745690-4 1.370128+2 1.790000-4 1.472360+2 1.830522-4 1.579496+2 1.872931-4 1.704122+2 1.980000-4 2.067855+2 2.075941-4 2.438256+2 2.150000-4 2.744062+2 2.238721-4 3.127445+2 2.343543-4 3.599232+2 2.441406-4 4.051253+2 2.520301-4 4.418441+2 2.628276-4 4.914239+2 2.745006-4 5.427140+2 2.837148-4 5.794854+2 2.883211-4 5.961932+2 2.909515-4 6.082850+2 2.927421-4 6.199027+2 2.964831-4 6.513911+2 2.979465-4 6.628086+2 2.998598-4 6.744786+2 3.057075-4 6.988958+2 3.080014-4 7.123343+2 3.127805-4 7.495027+2 3.146088-4 7.617817+2 3.184426-4 7.797535+2 3.311507-4 8.272055+2 3.460000-4 8.809486+2 3.690176-4 9.590485+2 3.954304-4 1.044129+3 4.193019-4 1.111995+3 4.461825-4 1.174904+3 4.745134-4 1.221799+3 4.818878-4 1.240610+3 4.849306-4 1.254252+3 4.912957-4 1.291844+3 4.970238-4 1.321288+3 5.080000-4 1.360238+3 5.252966-4 1.406858+3 5.500408-4 1.459251+3 5.621130-4 1.481550+3 5.791640-4 1.522374+3 5.955785-4 1.557607+3 6.168704-4 1.593267+3 6.456497-4 1.629843+3 6.642630-4 1.645555+3 6.702704-4 1.653044+3 6.953656-4 1.704510+3 7.202778-4 1.739515+3 7.651414-4 1.784456+3 8.099113-4 1.813495+3 8.585192-4 1.837138+3 9.158175-4 1.856439+3 9.848336-4 1.869430+3 1.056209-3 1.871277+3 1.132281-3 1.862386+3 1.214437-3 1.838989+3 1.288738-3 1.807096+3 1.371185-3 1.765707+3 1.453784-3 1.716001+3 1.540060-3 1.654602+3 1.615804-3 1.589533+3 1.684326-3 1.518173+3 1.743794-3 1.443049+3 1.794871-3 1.368428+3 1.834404-3 1.301700+3 1.872164-3 1.227396+3 1.899469-3 1.166150+3 1.924853-3 1.100438+3 1.944462-3 1.041203+3 1.963565-3 9.724843+2 1.978510-3 9.069851+2 1.989962-3 8.471986+2 1.998817-3 7.955187+2 2.014566-3 7.039601+2 2.019564-3 6.805600+2 2.021840-3 6.717118+2 2.024557-3 6.629496+2 2.027241-3 6.564730+2 2.029335-3 6.530664+2 2.032018-3 6.509618+2 2.034926-3 6.516863+2 2.038603-3 6.572035+2 2.042004-3 6.668480+2 2.045726-3 6.821448+2 2.048697-3 6.975916+2 2.051833-3 7.166018+2 2.057459-3 7.560823+2 2.066234-3 8.248108+2 2.073207-3 8.790762+2 2.077332-3 9.091152+2 2.083517-3 9.501242+2 2.089279-3 9.838367+2 2.095756-3 1.017543+3 2.116308-3 1.117730+3 2.131817-3 1.207434+3 2.144051-3 1.284937+3 2.151578-3 1.331457+3 2.161308-3 1.386928+3 2.172110-3 1.440539+3 2.185951-3 1.497713+3 2.206760-3 1.567171+3 2.231878-3 1.637726+3 2.276798-3 1.748608+3 2.323784-3 1.849797+3 2.367312-3 1.930424+3 2.404533-3 1.985840+3 2.431952-3 2.014200+3 2.454405-3 2.026123+3 2.475041-3 2.027109+3 2.501459-3 2.023507+3 2.511374-3 2.027049+3 2.521542-3 2.037350+3 2.530750-3 2.053911+3 2.544823-3 2.092327+3 2.577648-3 2.209552+3 2.590684-3 2.250751+3 2.605441-3 2.288689+3 2.622709-3 2.322723+3 2.643806-3 2.353765+3 2.671756-3 2.384117+3 2.706388-3 2.411086+3 2.741233-3 2.429260+3 2.779751-3 2.440689+3 2.810489-3 2.442509+3 2.875296-3 2.435388+3 2.902310-3 2.450023+3 2.955459-3 2.509795+3 2.976833-3 2.528200+3 3.001189-3 2.542008+3 3.036711-3 2.552624+3 3.117095-3 2.552994+3 3.149137-3 2.564717+3 3.214954-3 2.614164+3 3.242595-3 2.627925+3 3.325252-3 2.647689+3 3.442037-3 2.654967+3 3.562717-3 2.650733+3 3.751627-3 2.628521+3 3.934642-3 2.596495+3 4.216965-3 2.533094+3 4.522603-3 2.456543+3 4.906386-3 2.350269+3 5.270781-3 2.249061+3 5.741991-3 2.120616+3 6.139110-3 2.015511+3 6.679256-3 1.879048+3 7.321320-3 1.728640+3 7.651560-3 1.654917+3 7.978736-3 1.584525+3 8.332090-3 1.510681+3 8.677381-3 1.440918+3 9.011541-3 1.374692+3 9.292338-3 1.319607+3 9.556390-3 1.267908+3 9.806664-3 1.218560+3 1.000901-2 1.177660+3 1.018884-2 1.140166+3 1.034793-2 1.105467+3 1.048537-2 1.073564+3 1.059817-2 1.045355+3 1.069488-2 1.018927+3 1.078010-2 9.928306+2 1.084903-2 9.685709+2 1.090370-2 9.464207+2 1.094866-2 9.259430+2 1.108808-2 8.573880+2 1.112695-2 8.426969+2 1.115899-2 8.344462+2 1.117698-2 8.316609+2 1.119851-2 8.302113+2 1.121886-2 8.307500+2 1.123790-2 8.328819+2 1.127330-2 8.406026+2 1.132427-2 8.581029+2 1.141010-2 8.933068+2 1.147878-2 9.173591+2 1.152594-2 9.298300+2 1.156715-2 9.381386+2 1.161575-2 9.453533+2 1.168041-2 9.516642+2 1.175166-2 9.555289+2 1.183629-2 9.571895+2 1.194296-2 9.560475+2 1.204932-2 9.521497+2 1.222767-2 9.402135+2 1.232193-2 9.310655+2 1.241173-2 9.200598+2 1.249259-2 9.076604+2 1.260187-2 8.866646+2 1.271909-2 8.627946+2 1.277862-2 8.540965+2 1.283158-2 8.502848+2 1.289069-2 8.509358+2 1.295687-2 8.566405+2 1.308150-2 8.714557+2 1.316278-2 8.776748+2 1.335567-2 8.846212+2 1.347295-2 8.946546+2 1.363724-2 9.138323+2 1.377175-2 9.248344+2 1.394521-2 9.312083+2 1.416505-2 9.325721+2 1.446801-2 9.285808+2 1.486715-2 9.178206+2 1.541301-2 8.973249+2 1.610747-2 8.664881+2 1.698497-2 8.251299+2 1.818678-2 7.685905+2 1.976241-2 6.991967+2 2.183633-2 6.193469+2 2.393006-2 5.504770+2 2.626016-2 4.860113+2 2.844093-2 4.347499+2 3.147513-2 3.754974+2 3.499956-2 3.204332+2 3.792659-2 2.828701+2 4.132343-2 2.459857+2 5.048072-2 1.752330+2 5.468765-2 1.524141+2 5.913483-2 1.323106+2 6.357997-2 1.153266+2 6.684451-2 1.043003+2 6.933656-2 9.637564+1 7.102141-2 9.105539+1 7.234385-2 8.671279+1 7.286166-2 8.490600+1 7.337844-2 8.298379+1 7.379115-2 8.131034+1 7.413948-2 7.975673+1 7.473329-2 7.674354+1 7.552198-2 7.254922+1 7.585776-2 7.121351+1 7.617467-2 7.048585+1 7.648983-2 7.035577+1 7.676437-2 7.068536+1 7.720000-2 7.177633+1 7.783771-2 7.365356+1 7.830000-2 7.467762+1 7.882850-2 7.537480+1 7.918370-2 7.561828+1 8.010862-2 7.574009+1 8.122382-2 7.535293+1 8.258753-2 7.448476+1 8.506597-2 7.241241+1 8.804967-2 6.954598+1 9.272881-2 6.486802+1 9.913783-2 5.876433+1 1.062928-1 5.265708+1 1.141106-1 4.680703+1 1.285372-1 3.808476+1 1.531914-1 2.784497+1 1.923022-1 1.843617+1 2.319050-1 1.304618+1 2.883253-1 8.654114+0 3.794549-1 5.112551+0 5.282647-1 2.690535+0 8.006044-1 1.191760+0 1.286622+0 4.672428-1 2.451607+0 1.296746-1 7.403736+0 1.425796-2 2.235892+1 1.563721-3 6.752287+1 1.714630-4 2.039158+2 1.880059-5 6.158159+2 2.061445-6 1.995262+3 1.963693-7 6.309573+3 1.963693-8 1.995262+4 1.963693-9 6.309573+4 1.96369-10 1.000000+5 7.81760-11 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.631600-6 1.258900-6 2.585900-6 1.584900-6 4.098400-6 1.995300-6 6.495500-6 2.511900-6 1.029500-5 3.162300-6 1.631600-5 3.981100-6 2.585900-5 5.011900-6 4.098300-5 6.309600-6 6.495300-5 7.943300-6 1.029400-4 1.000000-5 1.631500-4 1.258900-5 2.585700-4 1.584900-5 4.098000-4 1.995300-5 6.494800-4 2.511900-5 1.029300-3 3.162300-5 1.631100-3 3.981100-5 2.583900-3 5.011900-5 4.093300-3 6.309600-5 6.485000-3 7.943300-5 1.027400-2 1.000000-4 1.626200-2 1.258900-4 2.573500-2 1.584900-4 4.065700-2 1.995300-4 6.418400-2 2.511900-4 1.010500-1 3.162300-4 1.585300-1 3.981100-4 2.472700-1 5.011900-4 3.821100-1 6.309600-4 5.812900-1 7.943300-4 8.661000-1 1.000000-3 1.256500+0 1.258900-3 1.765800+0 1.584900-3 2.402200+0 1.995300-3 3.178500+0 2.511900-3 4.128700+0 3.162300-3 5.292200+0 3.981100-3 6.707300+0 5.011900-3 8.403200+0 6.309600-3 1.040800+1 7.943300-3 1.268100+1 1.000000-2 1.511300+1 1.258900-2 1.762800+1 1.584900-2 2.024500+1 1.995300-2 2.288100+1 2.511900-2 2.554600+1 3.162300-2 2.790100+1 3.981100-2 2.995000+1 5.011900-2 3.142400+1 6.309600-2 3.234300+1 7.943300-2 3.272100+1 1.000000-1 3.254000+1 1.258900-1 3.186000+1 1.584900-1 3.072600+1 1.995300-1 2.925400+1 2.511900-1 2.754400+1 3.162300-1 2.568300+1 3.981100-1 2.374500+1 5.011900-1 2.178100+1 6.309600-1 1.983800+1 7.943300-1 1.794500+1 1.000000+0 1.611700+1 1.258900+0 1.439500+1 1.584900+0 1.276600+1 1.995300+0 1.124600+1 2.511900+0 9.842700+0 3.162300+0 8.560600+0 3.981100+0 7.401100+0 5.011900+0 6.362600+0 6.309600+0 5.440700+0 7.943300+0 4.630500+0 1.000000+1 3.923300+0 1.258900+1 3.310700+0 1.584900+1 2.783400+0 1.995300+1 2.332400+0 2.511900+1 1.948600+0 3.162300+1 1.623500+0 3.981100+1 1.349400+0 5.011900+1 1.119000+0 6.309600+1 9.261700-1 7.943300+1 7.651400-1 1.000000+2 6.310700-1 1.258900+2 5.197000-1 1.584900+2 4.273900-1 1.995300+2 3.510300-1 2.511900+2 2.879700-1 3.162300+2 2.359900-1 3.981100+2 1.931900-1 5.011900+2 1.580100-1 6.309600+2 1.291200-1 7.943300+2 1.054300-1 1.000000+3 8.601800-2 1.258900+3 7.013000-2 1.584900+3 5.713700-2 1.995300+3 4.652100-2 2.511900+3 3.785500-2 3.162300+3 3.078600-2 3.981100+3 2.502200-2 5.011900+3 2.032700-2 6.309600+3 1.650500-2 7.943300+3 1.339500-2 1.000000+4 1.086600-2 1.258900+4 8.811000-3 1.584900+4 7.141400-3 1.995300+4 5.785900-3 2.511900+4 4.685800-3 3.162300+4 3.793500-3 3.981100+4 3.070000-3 5.011900+4 2.483700-3 6.309600+4 2.008600-3 7.943300+4 1.623900-3 1.000000+5 1.312500-3 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994174-4 2.511886-4 2.510163-4 3.162278-4 3.159550-4 3.981072-4 3.976758-4 5.011872-4 5.005060-4 6.309573-4 6.298839-4 7.943282-4 7.926374-4 1.000000-3 9.973510-4 1.258925-3 1.254788-3 1.584893-3 1.578454-3 1.995262-3 1.985227-3 2.511886-3 2.496188-3 3.162278-3 3.137689-3 3.981072-3 3.942592-3 5.011872-3 4.951556-3 6.309573-3 6.215121-3 7.943282-3 7.795873-3 1.000000-2 9.771111-3 1.258925-2 1.223473-2 1.584893-2 1.530148-2 1.995262-2 1.910660-2 2.511886-2 2.381867-2 3.162278-2 2.963278-2 3.981072-2 3.679311-2 5.011872-2 4.557244-2 6.309573-2 5.629588-2 7.943282-2 6.933253-2 1.000000-1 8.514535-2 1.258925-1 1.041787-1 1.584893-1 1.270945-1 1.995262-1 1.545442-1 2.511886-1 1.872988-1 3.162278-1 2.262746-1 3.981072-1 2.724521-1 5.011872-1 3.270602-1 6.309573-1 3.915216-1 7.943282-1 4.675294-1 1.000000+0 5.569880-1 1.258925+0 6.622354-1 1.584893+0 7.865282-1 1.995262+0 9.336242-1 2.511886+0 1.108208+0 3.162278+0 1.315937+0 3.981072+0 1.563935+0 5.011872+0 1.860738+0 6.309573+0 2.217071+0 7.943282+0 2.645504+0 1.000000+1 3.162135+0 1.258925+1 3.786330+0 1.584893+1 4.541378+0 1.995262+1 5.456642+0 2.511886+1 6.567421+0 3.162278+1 7.917421+0 3.981072+1 9.559906+0 5.011872+1 1.156069+1 6.309573+1 1.400041+1 7.943282+1 1.697803+1 1.000000+2 2.061544+1 1.258925+2 2.506275+1 1.584893+2 3.050423+1 1.995262+2 3.716770+1 2.511886+2 4.533286+1 3.162278+2 5.534548+1 3.981072+2 6.762997+1 5.011872+2 8.271336+1 6.309573+2 1.012429+2 7.943282+2 1.240180+2 1.000000+3 1.520281+2 1.258925+3 1.864925+2 1.584893+3 2.289155+2 1.995262+3 2.811725+2 2.511886+3 3.455525+2 3.162278+3 4.249342+2 3.981072+3 5.228241+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739832-9 3.981072-5 4.341862-9 5.011872-5 6.880995-9 6.309573-5 1.090529-8 7.943282-5 1.728277-8 1.000000-4 2.738278-8 1.258925-4 4.339036-8 1.584893-4 6.872666-8 1.995262-4 1.088691-7 2.511886-4 1.723819-7 3.162278-4 2.727900-7 3.981072-4 4.314137-7 5.011872-4 6.812815-7 6.309573-4 1.073470-6 7.943282-4 1.690791-6 1.000000-3 2.649009-6 1.258925-3 4.137475-6 1.584893-3 6.438826-6 1.995262-3 1.003554-5 2.511886-3 1.569819-5 3.162278-3 2.458892-5 3.981072-3 3.847957-5 5.011872-3 6.031608-5 6.309573-3 9.445220-5 7.943282-3 1.474090-4 1.000000-2 2.288886-4 1.258925-2 3.545267-4 1.584893-2 5.474471-4 1.995262-2 8.460233-4 2.511886-2 1.300190-3 3.162278-2 1.989994-3 3.981072-2 3.017604-3 5.011872-2 4.546287-3 6.309573-2 6.799857-3 7.943282-2 1.010029-2 1.000000-1 1.485465-2 1.258925-1 2.171386-2 1.584893-1 3.139485-2 1.995262-1 4.498208-2 2.511886-1 6.388986-2 3.162278-1 8.995312-2 3.981072-1 1.256551-1 5.011872-1 1.741270-1 6.309573-1 2.394357-1 7.943282-1 3.267989-1 1.000000+0 4.430120-1 1.258925+0 5.966900-1 1.584893+0 7.983650-1 1.995262+0 1.061638+0 2.511886+0 1.403678+0 3.162278+0 1.846341+0 3.981072+0 2.417137+0 5.011872+0 3.151135+0 6.309573+0 4.092503+0 7.943282+0 5.297779+0 1.000000+1 6.837865+0 1.258925+1 8.802924+0 1.584893+1 1.130755+1 1.995262+1 1.449598+1 2.511886+1 1.855144+1 3.162278+1 2.370536+1 3.981072+1 3.025081+1 5.011872+1 3.855803+1 6.309573+1 4.909532+1 7.943282+1 6.245479+1 1.000000+2 7.938456+1 1.258925+2 1.008298+2 1.584893+2 1.279851+2 1.995262+2 1.623585+2 2.511886+2 2.058558+2 3.162278+2 2.608823+2 3.981072+2 3.304772+2 5.011872+2 4.184739+2 6.309573+2 5.297145+2 7.943282+2 6.703103+2 1.000000+3 8.479719+2 1.258925+3 1.072433+3 1.584893+3 1.355978+3 1.995262+3 1.714090+3 2.511886+3 2.166334+3 3.162278+3 2.737343+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.790000-6 1.043188+7 7.161434-6 1.124387+7 7.600000-6 1.213061+7 7.990000-6 1.285347+7 7.990000-6 1.844823+7 8.035261-6 1.853849+7 8.128305-6 1.874192+7 8.222426-6 1.898384+7 8.511380-6 1.981834+7 9.120108-6 2.131339+7 9.332543-6 2.180169+7 9.772372-6 2.278682+7 1.011579-5 2.350653+7 1.059254-5 2.447131+7 1.100000-5 2.524178+7 1.161449-5 2.635717+7 1.202264-5 2.704902+7 1.288250-5 2.843513+7 1.318257-5 2.888703+7 1.462177-5 3.094153+7 1.640590-5 3.318088+7 1.659587-5 3.340439+7 1.840772-5 3.535181+7 1.850000-5 3.544404+7 2.000000-5 3.676809+7 2.018366-5 3.691489+7 2.150000-5 3.779822+7 2.162719-5 3.787321+7 2.290868-5 3.846279+7 2.300000-5 3.849645+7 2.426610-5 3.878449+7 2.540973-5 3.877670+7 2.660725-5 3.849641+7 2.770000-5 3.800628+7 2.884032-5 3.726549+7 3.000000-5 3.628760+7 3.090295-5 3.537358+7 3.120000-5 3.505965+7 3.198895-5 3.416016+7 3.235937-5 3.372269+7 3.311311-5 3.278634+7 3.350000-5 3.229408+7 3.427678-5 3.127094+7 3.467369-5 3.074097+7 3.548134-5 2.963888+7 3.589219-5 2.907578+7 3.672823-5 2.791674+7 3.730000-5 2.713218+7 3.801894-5 2.614212+7 3.890451-5 2.495130+7 3.950000-5 2.416213+7 4.027170-5 2.315774+7 4.120975-5 2.197122+7 4.216965-5 2.080900+7 4.300000-5 1.983813+7 4.415704-5 1.855306+7 4.500000-5 1.766218+7 4.650000-5 1.618192+7 4.731513-5 1.542763+7 4.900000-5 1.398302+7 5.011872-5 1.310277+7 5.166000-5 1.198634+7 5.166000-5 1.686878+7 5.188000-5 1.669644+7 5.190000-5 1.668062+7 5.250000-5 1.618751+7 5.308844-5 1.569949+7 5.310000-5 1.568998+7 5.400000-5 1.494303+7 5.500000-5 1.414351+7 5.650000-5 1.300652+7 5.821032-5 1.181967+7 5.900000-5 1.131347+7 6.025596-5 1.055576+7 6.165950-5 9.777209+6 6.309573-5 9.047286+6 6.400000-5 8.620197+6 6.531306-5 8.039639+6 6.568000-5 7.884407+6 6.568000-5 9.805267+6 6.606934-5 9.660050+6 6.650000-5 9.495928+6 6.710000-5 9.262685+6 6.770000-5 9.027382+6 6.800000-5 8.908414+6 6.806000-5 8.884662+6 6.806000-5 9.304089+6 6.839116-5 9.182124+6 6.840000-5 9.178892+6 6.870000-5 9.068868+6 6.918310-5 8.887135+6 6.920000-5 8.880807+6 6.970000-5 8.694096+6 7.000000-5 8.581978+6 7.079458-5 8.291706+6 7.119000-5 8.151391+6 7.133000-5 8.101402+6 7.133000-5 8.357292+6 7.161434-5 8.263298+6 7.190000-5 8.168796+6 7.200000-5 8.135899+6 7.244360-5 7.990856+6 7.300000-5 7.812991+6 7.328245-5 7.722515+6 7.350000-5 7.653048+6 7.370000-5 7.589709+6 7.450000-5 7.342140+6 7.500000-5 7.192278+6 7.550000-5 7.044865+6 7.585776-5 6.941408+6 7.700000-5 6.622022+6 7.762471-5 6.455360+6 7.852356-5 6.220922+6 8.000000-5 5.860094+6 8.035261-5 5.777655+6 8.128305-5 5.564915+6 8.222426-5 5.361862+6 8.317638-5 5.164960+6 8.400000-5 5.003485+6 8.413951-5 4.976559+6 8.609938-5 4.616346+6 8.650000-5 4.547810+6 8.810489-5 4.286844+6 8.912509-5 4.130773+6 9.015711-5 3.981816+6 9.120108-5 3.840348+6 9.150000-5 3.800920+6 9.225714-5 3.704712+6 9.300000-5 3.614553+6 9.332543-5 3.575836+6 9.350000-5 3.555184+6 9.440609-5 3.452160+6 9.500000-5 3.387879+6 9.549926-5 3.335805+6 9.720000-5 3.169069+6 9.885531-5 3.024417+6 9.900000-5 3.012324+6 9.914000-5 3.000950+6 9.914000-5 3.068475+6 9.950000-5 3.039287+6 1.010000-4 2.925109+6 1.011579-4 2.913879+6 1.030000-4 2.790669+6 1.035142-4 2.759896+6 1.047129-4 2.692940+6 1.050000-4 2.677500+6 1.060000-4 2.628498+6 1.071519-4 2.576248+6 1.080000-4 2.542290+6 1.090000-4 2.505678+6 1.094400-4 2.490564+6 1.096478-4 2.483841+6 1.109175-4 2.447211+6 1.114600-4 2.432765+6 1.122018-4 2.414967+6 1.135011-4 2.389672+6 1.150000-4 2.367174+6 1.161449-4 2.354797+6 1.170000-4 2.348551+6 1.174898-4 2.345982+6 1.190000-4 2.341190+6 1.202264-4 2.342097+6 1.220000-4 2.349827+6 1.230269-4 2.357728+6 1.244515-4 2.372303+6 1.273503-4 2.415261+6 1.288250-4 2.443502+6 1.333521-4 2.549166+6 1.350000-4 2.595405+6 1.380384-4 2.687217+6 1.396368-4 2.740926+6 1.400000-4 2.753374+6 1.412538-4 2.795807+6 1.445440-4 2.916802+6 1.450000-4 2.934654+6 1.462177-4 2.982262+6 1.496236-4 3.118856+6 1.500000-4 3.134739+6 1.513561-4 3.193316+6 1.520000-4 3.220883+6 1.531087-4 3.267277+6 1.548817-4 3.344060+6 1.580000-4 3.486069+6 1.584893-4 3.507367+6 1.603245-4 3.589126+6 1.621810-4 3.674528+6 1.640590-4 3.763602+6 1.641700-4 3.768690+6 1.659587-4 3.848797+6 1.690000-4 3.989898+6 1.698244-4 4.029089+6 1.705000-4 4.059839+6 1.737801-4 4.206416+6 1.760000-4 4.308952+6 1.778279-4 4.385867+6 1.780000-4 4.393177+6 1.800000-4 4.478989+6 1.819701-4 4.565045+6 1.820000-4 4.566363+6 1.862087-4 4.732418+6 1.880000-4 4.804557+6 1.900000-4 4.876080+6 1.905461-4 4.895760+6 1.927525-4 4.976046+6 1.930000-4 4.985118+6 1.950000-4 5.048725+6 1.980000-4 5.145254+6 1.995262-4 5.194730+6 2.000000-4 5.209133+6 2.041738-4 5.323953+6 2.065380-4 5.389595+6 2.089296-4 5.444445+6 2.098700-4 5.466078+6 2.120000-4 5.515219+6 2.137962-4 5.556666+6 2.150000-4 5.582008+6 2.162719-4 5.605132+6 2.187762-4 5.650739+6 2.220000-4 5.709510+6 2.238721-4 5.740017+6 2.250000-4 5.755676+6 2.290868-4 5.812385+6 2.300000-4 5.825002+6 2.317395-4 5.845920+6 2.330000-4 5.861116+6 2.350000-4 5.880602+6 2.398833-4 5.928045+6 2.400000-4 5.929179+6 2.426610-4 5.950351+6 2.454709-4 5.966710+6 2.490500-4 5.987492+6 2.500000-4 5.992997+6 2.501000-4 5.993419+6 2.511886-4 5.997991+6 2.580000-4 6.012387+6 2.600160-4 6.016661+6 2.620000-4 6.018049+6 2.660725-4 6.012284+6 2.691535-4 6.008066+6 2.722701-4 5.999391+6 2.730000-4 5.997365+6 2.754229-4 5.985866+6 2.800000-4 5.964555+6 2.851018-4 5.933816+6 2.900000-4 5.896591+6 2.917427-4 5.883588+6 2.945800-4 5.858748+6 2.945800-4 6.069944+6 2.951209-4 6.065902+6 2.955000-4 6.062460+6 2.970000-4 6.047565+6 2.985383-4 6.031350+6 3.000000-4 6.015238+6 3.004800-4 6.009927+6 3.030000-4 5.981091+6 3.054921-4 5.952125+6 3.065000-4 5.939345+6 3.090295-4 5.907241+6 3.100000-4 5.893645+6 3.105200-4 5.886400+6 3.105200-4 6.054063+6 3.162278-4 5.962273+6 3.200000-4 5.905452+6 3.235937-4 5.851109+6 3.250000-4 5.828934+6 3.273407-4 5.792884+6 3.290000-4 5.768180+6 3.311311-4 5.737130+6 3.330000-4 5.710818+6 3.350000-4 5.683336+6 3.370000-4 5.655122+6 3.391100-4 5.626099+6 3.400000-4 5.614192+6 3.427678-4 5.578097+6 3.430000-4 5.574833+6 3.440000-4 5.561082+6 3.467369-4 5.524452+6 3.480000-4 5.507735+6 3.485000-4 5.501243+6 3.507519-4 5.472807+6 3.515000-4 5.462859+6 3.550000-4 5.417471+6 3.600000-4 5.356179+6 3.650000-4 5.292657+6 3.700000-4 5.232282+6 3.715352-4 5.213092+6 3.758374-4 5.160981+6 3.801894-4 5.109852+6 3.820000-4 5.087510+6 3.890451-4 5.002618+6 3.935501-4 4.947597+6 3.981072-4 4.893179+6 4.000000-4 4.871080+6 4.027170-4 4.839828+6 4.073803-4 4.784045+6 4.100000-4 4.753222+6 4.216965-4 4.615943+6 4.265795-4 4.557997+6 4.315191-4 4.501350+6 4.365158-4 4.443796+6 4.430000-4 4.371146+6 4.466836-4 4.331062+6 4.500000-4 4.294181+6 4.518559-4 4.273631+6 4.570882-4 4.216983+6 4.600000-4 4.185203+6 4.623810-4 4.159482+6 4.731513-4 4.046617+6 4.786301-4 3.988727+6 4.841724-4 3.932144+6 4.845500-4 3.928357+6 4.845500-4 4.155795+6 4.850000-4 4.151216+6 4.897788-4 4.101436+6 5.011872-4 3.986534+6 5.080000-4 3.918437+6 5.128614-4 3.870884+6 5.150000-4 3.850348+6 5.188000-4 3.813546+6 5.248075-4 3.756515+6 5.308844-4 3.700092+6 5.370318-4 3.643070+6 5.432503-4 3.586932+6 5.450000-4 3.571087+6 5.495409-4 3.530164+6 5.500000-4 3.526078+6 5.580000-4 3.456497+6 5.650000-4 3.396773+6 5.703500-4 3.350480+6 5.703500-4 3.397477+6 5.754399-4 3.354618+6 5.800000-4 3.316311+6 5.888437-4 3.243936+6 6.025596-4 3.136333+6 6.095369-4 3.082467+6 6.100000-4 3.078958+6 6.165950-4 3.029203+6 6.280000-4 2.945320+6 6.309573-4 2.924139+6 6.382635-4 2.872642+6 6.531306-4 2.771894+6 6.606934-4 2.721629+6 6.700000-4 2.661111+6 6.753200-4 2.627269+6 6.753200-4 2.684320+6 6.760830-4 2.679492+6 6.850000-4 2.624225+6 6.918310-4 2.583040+6 6.998420-4 2.536290+6 7.000000-4 2.535366+6 7.079458-4 2.489149+6 7.150000-4 2.448831+6 7.161434-4 2.442391+6 7.244360-4 2.396272+6 7.328245-4 2.351197+6 7.413102-4 2.306662+6 7.500000-4 2.262610+6 7.585776-4 2.219459+6 7.650000-4 2.187662+6 7.673615-4 2.176146+6 7.762471-4 2.133263+6 7.852356-4 2.091404+6 7.900000-4 2.069715+6 8.000000-4 2.025044+6 8.035261-4 2.009701+6 8.128305-4 1.969662+6 8.222426-4 1.930137+6 8.317638-4 1.891155+6 8.511380-4 1.815483+6 8.609938-4 1.778990+6 8.700000-4 1.746359+6 8.709636-4 1.742916+6 8.810489-4 1.707027+6 8.912509-4 1.671401+6 9.120108-4 1.602769+6 9.225714-4 1.569332+6 9.332543-4 1.536691+6 9.500000-4 1.487069+6 9.549926-4 1.472625+6 9.660509-4 1.441156+6 9.885531-4 1.379888+6 1.000000-3 1.350130+6 1.011579-3 1.321093+6 1.023293-3 1.292739+6 1.030000-3 1.276795+6 1.035142-3 1.264757+6 1.047129-3 1.236920+6 1.050000-3 1.230404+6 1.071519-3 1.183023+6 1.083927-3 1.157031+6 1.110000-3 1.105386+6 1.122018-3 1.082617+6 1.150000-3 1.031263+6 1.174898-3 9.886376+5 1.190000-3 9.641497+5 1.202264-3 9.447710+5 1.216186-3 9.233372+5 1.230269-3 9.024505+5 1.258925-3 8.616064+5 1.273503-3 8.418725+5 1.288250-3 8.226446+5 1.303167-3 8.035509+5 1.364583-3 7.319073+5 1.396368-3 6.982552+5 1.400000-3 6.945278+5 1.412538-3 6.818067+5 1.479108-3 6.198811+5 1.496236-3 6.053710+5 1.500000-3 6.022361+5 1.513561-3 5.911449+5 1.531087-3 5.769580+5 1.548817-3 5.631400+5 1.566751-3 5.496356+5 1.621810-3 5.111952+5 1.640590-3 4.990010+5 1.650000-3 4.929929+5 1.659587-3 4.869475+5 1.678804-3 4.751574+5 1.717908-3 4.524051+5 1.737801-3 4.414766+5 1.757924-3 4.307960+5 1.778279-3 4.203530+5 1.798871-3 4.100003+5 1.800000-3 4.094439+5 1.840772-3 3.901103+5 1.862087-3 3.805606+5 1.883649-3 3.712196+5 1.927525-3 3.532740+5 1.950000-3 3.443828+5 1.972423-3 3.358374+5 2.018366-3 3.193177+5 2.044800-3 3.103726+5 2.044800-3 8.514155+5 2.065380-3 8.354970+5 2.089296-3 8.175749+5 2.113489-3 8.000331+5 2.123200-3 7.931122+5 2.123200-3 9.781736+5 2.136000-3 9.724511+5 2.138000-3 9.716876+5 2.162719-3 9.625712+5 2.163000-3 9.631795+5 2.187762-3 9.569650+5 2.213095-3 9.514145+5 2.235600-3 9.464069+5 2.238721-3 9.453470+5 2.264644-3 9.397304+5 2.294100-3 9.315042+5 2.300000-3 9.295412+5 2.317395-3 9.224432+5 2.344229-3 9.122479+5 2.354000-3 9.080104+5 2.371374-3 8.993734+5 2.400000-3 8.852900+5 2.426610-3 8.677203+5 2.430000-3 8.655263+5 2.454709-3 8.471234+5 2.483133-3 8.253317+5 2.483500-3 8.250557+5 2.511886-3 8.017901+5 2.539000-3 7.803546+5 2.539000-3 9.025834+5 2.540973-3 9.009301+5 2.570396-3 8.767927+5 2.600160-3 8.533227+5 2.630268-3 8.304988+5 2.650000-3 8.160253+5 2.660725-3 8.082181+5 2.691535-3 7.859312+5 2.722701-3 7.642781+5 2.754229-3 7.434618+5 2.818383-3 7.031447+5 2.851018-3 6.837275+5 2.884032-3 6.648596+5 2.900200-3 6.558895+5 2.900200-3 6.959585+5 2.917427-3 6.863378+5 2.951209-3 6.680350+5 2.985383-3 6.500446+5 3.019952-3 6.325668+5 3.030000-3 6.276116+5 3.054921-3 6.154836+5 3.070000-3 6.081892+5 3.090295-3 5.986375+5 3.126079-3 5.823247+5 3.145700-3 5.736568+5 3.145700-3 5.981984+5 3.162278-3 5.908776+5 3.169000-3 5.879367+5 3.235937-3 5.597984+5 3.273407-3 5.449111+5 3.311311-3 5.304452+5 3.355000-3 5.142214+5 3.359000-3 5.127671+5 3.388442-3 5.021808+5 3.427678-3 4.885501+5 3.507519-3 4.623323+5 3.548134-3 4.497869+5 3.589219-3 4.376001+5 3.600000-3 4.344822+5 3.650000-3 4.204589+5 3.672823-3 4.142737+5 3.715352-3 4.030102+5 3.801894-3 3.812150+5 3.890451-3 3.605039+5 3.900000-3 3.583697+5 3.981072-3 3.409608+5 4.000000-3 3.370754+5 4.027170-3 3.316091+5 4.073803-3 3.224782+5 4.120975-3 3.135919+5 4.150000-3 3.082887+5 4.168694-3 3.049409+5 4.216965-3 2.964873+5 4.315191-3 2.803147+5 4.365158-3 2.725018+5 4.415704-3 2.649196+5 4.466836-3 2.575535+5 4.518559-3 2.503605+5 4.570882-3 2.433038+5 4.623810-3 2.364373+5 4.677351-3 2.297756+5 4.786301-3 2.169733+5 4.841724-3 2.108581+5 5.011872-3 1.935326+5 5.069907-3 1.880913+5 5.128614-3 1.828077+5 5.150000-3 1.809343+5 5.188000-3 1.776623+5 5.248075-3 1.726627+5 5.308844-3 1.677831+5 5.400000-3 1.608290+5 5.432503-3 1.584337+5 5.495409-3 1.539070+5 5.623413-3 1.452589+5 5.650000-3 1.435482+5 5.688529-3 1.411159+5 5.754399-3 1.370942+5 5.821032-3 1.331677+5 5.888437-3 1.293388+5 6.000000-3 1.233435+5 6.025596-3 1.220188+5 6.095369-3 1.185107+5 6.165950-3 1.150977+5 6.237348-3 1.117882+5 6.309573-3 1.085767+5 6.500000-3 1.007158+5 6.531306-3 9.950121+4 6.683439-3 9.386837+4 6.760830-3 9.117831+4 6.800000-3 8.985844+4 6.839116-3 8.856280+4 6.918310-3 8.598966+4 6.998420-3 8.349372+4 7.000000-3 8.344555+4 7.079458-3 8.106704+4 7.161434-3 7.871195+4 7.300000-3 7.494973+4 7.413102-3 7.206595+4 7.498942-3 6.997805+4 7.500000-3 6.995286+4 7.585776-3 6.793674+4 7.673615-3 6.595622+4 7.762471-3 6.403518+4 7.852356-3 6.216478+4 8.000000-3 5.925574+4 8.035261-3 5.859003+4 8.128305-3 5.688242+4 8.317638-3 5.360545+4 8.511380-3 5.052642+4 8.609938-3 4.905635+4 8.709636-3 4.762083+4 9.015711-3 4.354208+4 9.120108-3 4.226122+4 9.225714-3 4.101486+4 9.332543-3 3.980639+4 9.440609-3 3.863522+4 9.549926-3 3.749958+4 9.660509-3 3.639333+4 9.800000-3 3.506343+4 9.885531-3 3.428164+4 1.000000-2 3.327364+4 1.011579-2 3.229312+4 1.023293-2 3.133613+4 1.035142-2 3.040713+4 1.047129-2 2.950677+4 1.059254-2 2.863439+4 1.083927-2 2.696897+4 1.096478-2 2.616949+4 1.109175-2 2.539271+4 1.121400-2 2.467466+4 1.121400-2 6.394625+4 1.129000-2 6.278846+4 1.135011-2 6.189317+4 1.148154-2 5.999071+4 1.161449-2 5.814731+4 1.174898-2 5.636074+4 1.188502-2 5.464593+4 1.202264-2 5.298374+4 1.216186-2 5.137285+4 1.230269-2 4.981180+4 1.258925-2 4.682676+4 1.260000-2 4.671956+4 1.273503-2 4.538640+4 1.285900-2 4.420646+4 1.285900-2 6.145954+4 1.288250-2 6.116002+4 1.318257-2 5.750183+4 1.321000-2 5.718259+4 1.333521-2 5.576588+4 1.339600-2 5.509541+4 1.339600-2 6.370521+4 1.364583-2 6.079765+4 1.380384-2 5.905547+4 1.400000-2 5.698726+4 1.420000-2 5.497623+4 1.428894-2 5.410707+4 1.440000-2 5.304867+4 1.445440-2 5.254489+4 1.450000-2 5.212779+4 1.462177-2 5.103610+4 1.479108-2 4.956939+4 1.496236-2 4.813050+4 1.500000-2 4.781898+4 1.513561-2 4.671911+4 1.531087-2 4.534983+4 1.548817-2 4.402170+4 1.566751-2 4.273358+4 1.584893-2 4.147934+4 1.603245-2 4.026274+4 1.621810-2 3.908738+4 1.640590-2 3.794725+4 1.659587-2 3.684027+4 1.678804-2 3.575786+4 1.698244-2 3.470776+4 1.717908-2 3.368954+4 1.737801-2 3.270092+4 1.757924-2 3.173477+4 1.778279-2 3.079232+4 1.800000-2 2.982959+4 1.840772-2 2.813153+4 1.850000-2 2.776618+4 1.862087-2 2.729723+4 1.883649-2 2.648543+4 1.905461-2 2.569826+4 1.927525-2 2.493496+4 1.949845-2 2.419463+4 1.972423-2 2.347685+4 2.018366-2 2.210028+4 2.041738-2 2.144336+4 2.065380-2 2.080449+4 2.089296-2 2.018432+4 2.137962-2 1.900019+4 2.150000-2 1.871945+4 2.162719-2 1.842884+4 2.187762-2 1.787196+4 2.238721-2 1.680940+4 2.264644-2 1.630247+4 2.290868-2 1.581107+4 2.317395-2 1.533480+4 2.371374-2 1.442594+4 2.398833-2 1.399190+4 2.400000-2 1.397386+4 2.426610-2 1.357115+4 2.454709-2 1.316301+4 2.483133-2 1.276452+4 2.500000-2 1.253597+4 2.511886-2 1.237819+4 2.570396-2 1.164071+4 2.600160-2 1.128904+4 2.691535-2 1.029766+4 2.722701-2 9.982869+3 2.754229-2 9.677498+3 2.818383-2 9.095169+3 2.851018-2 8.817571+3 2.884032-2 8.548606+3 2.917427-2 8.287813+3 2.951209-2 8.034953+3 2.985383-2 7.789999+3 3.000000-2 7.688406+3 3.019952-2 7.552630+3 3.126079-2 6.882341+3 3.162278-2 6.671622+3 3.198895-2 6.467285+3 3.235937-2 6.269351+3 3.311311-2 5.891845+3 3.349654-2 5.711865+3 3.388442-2 5.536530+3 3.400000-2 5.485687+3 3.427678-2 5.366457+3 3.467369-2 5.200562+3 3.507519-2 5.039879+3 3.548134-2 4.884272+3 3.589219-2 4.733559+3 3.672823-2 4.446248+3 3.715352-2 4.309216+3 3.758374-2 4.176508+3 3.845918-2 3.923506+3 3.890451-2 3.802901+3 3.935501-2 3.685627+3 3.981072-2 3.572043+3 4.000000-2 3.526263+3 4.027170-2 3.461898+3 4.073803-2 3.354623+3 4.168694-2 3.149285+3 4.265795-2 2.956798+3 4.300000-2 2.892821+3 4.415704-2 2.690109+3 4.466836-2 2.606792+3 4.500000-2 2.554658+3 4.518559-2 2.525964+3 4.570882-2 2.447420+3 4.677351-2 2.297699+3 4.731513-2 2.226319+3 4.841724-2 2.090128+3 5.011872-2 1.901042+3 5.069907-2 1.841717+3 5.128614-2 1.784285+3 5.188000-2 1.728682+3 5.248075-2 1.674850+3 5.308844-2 1.622374+3 5.370318-2 1.571573+3 5.432503-2 1.522388+3 5.495409-2 1.474760+3 5.500000-2 1.471365+3 5.559043-2 1.428618+3 5.888437-2 1.218830+3 5.956621-2 1.180800+3 6.025596-2 1.143952+3 6.095369-2 1.108278+3 6.165950-2 1.073659+3 6.237348-2 1.040054+3 6.382635-2 9.755876+2 6.456542-2 9.448973+2 6.531306-2 9.151777+2 6.606934-2 8.864066+2 6.683439-2 8.585233+2 7.161434-2 7.089284+2 7.328245-2 6.651773+2 7.413102-2 6.443430+2 7.498942-2 6.240382+2 7.585776-2 6.043842+2 7.631400-2 5.943981+2 7.631400-2 2.939181+3 7.673615-2 2.896345+3 7.720000-2 2.850265+3 7.762471-2 2.813845+3 7.830000-2 2.748313+3 7.943282-2 2.655392+3 7.950000-2 2.650020+3 8.000000-2 2.605408+3 8.035261-2 2.574564+3 8.128305-2 2.495526+3 8.413951-2 2.287917+3 8.511380-2 2.222646+3 8.609938-2 2.156137+3 8.810489-2 2.029053+3 8.912509-2 1.968283+3 9.120108-2 1.852159+3 9.225714-2 1.796703+3 9.332543-2 1.742913+3 9.549926-2 1.641440+3 1.000000-1 1.455902+3 1.011580-1 1.412904+3 1.035142-1 1.330702+3 1.047129-1 1.291417+3 1.059254-1 1.252354+3 1.071519-1 1.214478+3 1.096478-1 1.142135+3 1.122019-1 1.074111+3 1.148154-1 1.010154+3 1.161449-1 9.796208+2 1.188502-1 9.213050+2 1.244515-1 8.148860+2 1.258925-1 7.902679+2 1.273503-1 7.663941+2 1.288250-1 7.432189+2 1.364583-1 6.374720+2 1.380384-1 6.182063+2 1.396368-1 5.993606+2 1.428894-1 5.633790+2 1.445440-1 5.462140+2 1.479108-1 5.134417+2 1.513561-1 4.826482+2 1.531088-1 4.679514+2 1.566751-1 4.398870+2 1.584893-1 4.264937+2 1.659587-1 3.768840+2 1.678804-1 3.654094+2 1.698244-1 3.542845+2 1.717908-1 3.434998+2 1.737801-1 3.330434+2 1.778279-1 3.130800+2 1.798871-1 3.035556+2 1.819701-1 2.943254+2 1.840772-1 2.853766+2 1.883649-1 2.682882+2 1.949845-1 2.445579+2 1.972423-1 2.371247+2 2.000000-1 2.284607+2 2.018366-1 2.229305+2 2.041738-1 2.161556+2 2.065380-1 2.095872+2 2.089296-1 2.032192+2 2.113489-1 1.970455+2 2.137962-1 1.910599+2 2.162719-1 1.852585+2 2.187762-1 1.796339+2 2.238721-1 1.688970+2 2.264644-1 1.637720+2 2.290868-1 1.588026+2 2.344229-1 1.493124+2 2.371374-1 1.447824+2 2.426610-1 1.362228+2 2.454709-1 1.321349+2 2.483133-1 1.281699+2 2.511886-1 1.243262+2 2.540973-1 1.205990+2 2.570396-1 1.169839+2 2.600160-1 1.134790+2 2.630268-1 1.100792+2 2.660725-1 1.067852+2 2.691535-1 1.035898+2 2.786121-1 9.456687+1 2.818383-1 9.173755+1 2.833700-1 9.045047+1 2.851018-1 8.902576+1 2.884032-1 8.639490+1 2.917427-1 8.384198+1 2.951209-1 8.136456+1 2.985383-1 7.896069+1 3.000060-1 7.795893+1 3.019952-1 7.662911+1 3.090295-1 7.217082+1 3.126079-1 7.004014+1 3.162278-1 6.797306+1 3.198895-1 6.596711+1 3.235937-1 6.402407+1 3.311311-1 6.036514+1 3.349654-1 5.861493+1 3.388442-1 5.691553+1 3.427678-1 5.526569+1 3.467369-1 5.366450+1 3.548134-1 5.060022+1 3.589219-1 4.913440+1 3.630781-1 4.771166+1 3.672823-1 4.633034+1 3.715352-1 4.498917+1 3.758374-1 4.368735+1 3.801894-1 4.244683+1 3.890451-1 4.007059+1 3.935501-1 3.893360+1 3.981072-1 3.782897+1 4.027170-1 3.675571+1 4.073803-1 3.571338+1 4.120975-1 3.470077+1 4.216965-1 3.276090+1 4.265795-1 3.183208+1 4.365158-1 3.008606+1 4.415705-1 2.925101+1 4.466836-1 2.843974+1 4.518559-1 2.765137+1 4.570882-1 2.688494+1 4.623810-1 2.613978+1 4.677351-1 2.541528+1 4.786301-1 2.402603+1 4.897788-1 2.273903+1 4.954502-1 2.212200+1 5.000000-1 2.164454+1 5.011872-1 2.152238+1 5.069907-1 2.094052+1 5.128614-1 2.037440+1 5.188000-1 1.982360+1 5.308844-1 1.876632+1 5.370318-1 1.825903+1 5.432503-1 1.776546+1 5.495409-1 1.729551+1 5.559043-1 1.683822+1 5.623413-1 1.639365+1 5.688529-1 1.596089+1 5.754399-1 1.554054+1 5.888437-1 1.473281+1 5.956621-1 1.434484+1 6.025596-1 1.396708+1 6.095369-1 1.359929+1 6.165950-1 1.324902+1 6.237348-1 1.290803+1 6.309573-1 1.257612+1 6.456542-1 1.193771+1 6.531306-1 1.163153+1 6.606935-1 1.133321+1 6.683439-1 1.104255+1 6.760830-1 1.076580+1 6.839117-1 1.049611+1 6.918310-1 1.023338+1 6.998420-1 9.977276+0 7.079458-1 9.727590+0 7.161434-1 9.484339+0 7.244360-1 9.247173+0 7.328245-1 9.015943+0 7.413102-1 8.791095+0 7.498942-1 8.571857+0 7.585776-1 8.363056+0 7.673615-1 8.159468+0 7.762471-1 7.960872+0 7.943282-1 7.578075+0 8.035261-1 7.393638+0 8.222427-1 7.038370+0 8.317638-1 6.867767+0 8.511380-1 6.538873+0 8.609938-1 6.383756+0 8.709636-1 6.232486+0 8.810489-1 6.084815+0 8.912509-1 5.940645+0 9.015711-1 5.799892+0 9.120108-1 5.662661+0 9.225714-1 5.528679+0 9.332543-1 5.398305+0 9.440609-1 5.271151+0 9.549926-1 5.147000+0 9.660509-1 5.025775+0 9.772372-1 4.911106+0 9.885531-1 4.799074+0 1.000000+0 4.689688+0 1.011579+0 4.583014+0 1.023293+0 4.478766+0 1.035142+0 4.376894+0 1.047129+0 4.277578+0 1.059254+0 4.180596+0 1.071519+0 4.085815+0 1.083927+0 3.993179+0 1.096478+0 3.902664+0 1.109175+0 3.816202+0 1.122018+0 3.731666+0 1.135011+0 3.649044+0 1.148154+0 3.568265+0 1.161449+0 3.489276+0 1.174898+0 3.412096+0 1.188502+0 3.336630+0 1.202264+0 3.263047+0 1.216186+0 3.191137+0 1.230269+0 3.120854+0 1.244515+0 3.052119+0 1.250000+0 3.026270+0 1.258925+0 2.986077+0 1.273503+0 2.922165+0 1.303167+0 2.798419+0 1.318257+0 2.738581+0 1.333521+0 2.680075+0 1.364583+0 2.567179+0 1.380384+0 2.512528+0 1.412538+0 2.406701+0 1.445440+0 2.308033+0 1.479108+0 2.213411+0 1.500000+0 2.157771+0 1.513561+0 2.122933+0 1.531087+0 2.079189+0 1.566751+0 1.994386+0 1.584893+0 1.953300+0 1.659587+0 1.801365+0 1.678804+0 1.765298+0 1.698244+0 1.729955+0 1.717908+0 1.695428+0 1.737801+0 1.661613+0 1.798871+0 1.564166+0 1.819701+0 1.533744+0 1.862087+0 1.474688+0 1.905461+0 1.417905+0 1.927525+0 1.390362+0 1.949845+0 1.363357+0 1.972423+0 1.336953+0 1.995262+0 1.311082+0 2.000000+0 1.305814+0 2.044000+0 1.258464+0 2.065380+0 1.236434+0 2.089296+0 1.213204+0 2.137962+0 1.168047+0 2.162719+0 1.146102+0 2.187762+0 1.124592+0 2.213095+0 1.103488+0 2.238721+0 1.082857+0 2.264644+0 1.062630+0 2.317395+0 1.023303+0 2.344229+0 1.004189+0 2.371374+0 9.859909-1 2.426610+0 9.505791-1 2.454709+0 9.333528-1 2.483133+0 9.164562-1 2.511886+0 8.998675-1 2.540973+0 8.836370-1 2.570396+0 8.677130-1 2.630268+0 8.367221-1 2.660725+0 8.216442-1 2.691535+0 8.072692-1 2.786121+0 7.656363-1 2.818383+0 7.522413-1 2.851018+0 7.390933-1 2.884032+0 7.261762-1 2.917427+0 7.135257-1 2.951209+0 7.011049-1 3.019952+0 6.769090-1 3.090295+0 6.535485-1 3.126079+0 6.424858-1 3.235937+0 6.104085-1 3.273407+0 6.000762-1 3.311311+0 5.899282-1 3.349654+0 5.799529-1 3.388442+0 5.701781-1 3.427678+0 5.605759-1 3.507519+0 5.418546-1 3.589219+0 5.237586-1 3.630781+0 5.151843-1 3.758374+0 4.902950-1 3.801894+0 4.822687-1 3.845918+0 4.743813-1 3.890451+0 4.666238-1 3.935501+0 4.590181-1 4.000000+0 4.484980-1 4.073803+0 4.369548-1 4.168694+0 4.228386-1 4.216965+0 4.161405-1 4.415704+0 3.903926-1 4.466836+0 3.842085-1 4.518559+0 3.781280-1 4.570882+0 3.721444-1 4.623810+0 3.662751-1 4.677351+0 3.605030-1 4.786301+0 3.492307-1 4.897788+0 3.383109-1 4.954502+0 3.331264-1 5.188000+0 3.131711-1 5.248075+0 3.083719-1 5.308844+0 3.036507-1 5.370318+0 2.990021-1 5.432503+0 2.944249-1 5.495409+0 2.899325-1 5.559043+0 2.855121-1 5.688529+0 2.768730-1 5.821032+0 2.684952-1 5.888437+0 2.645154-1 6.165950+0 2.491774-1 6.237348+0 2.454839-1 6.309573+0 2.418486-1 6.382635+0 2.382675-1 6.456542+0 2.347395-1 6.531306+0 2.312746-1 6.606934+0 2.278636-1 6.760830+0 2.211918-1 6.918310+0 2.147154-1 7.000000+0 2.115709-1 7.413102+0 1.968607-1 7.498942+0 1.940327-1 7.585776+0 1.912477-1 7.673615+0 1.885030-1 7.762471+0 1.857978-1 7.852356+0 1.831391-1 8.035261+0 1.779389-1 8.222427+0 1.728865-1 8.413951+0 1.679776-1 8.511380+0 1.656322-1 8.609938+0 1.633195-1 9.120108+0 1.522315-1 9.225714+0 1.501060-1 9.332543+0 1.480115-1 9.440609+0 1.459466-1 9.549926+0 1.439107-1 9.660509+0 1.419033-1 9.772372+0 1.399305-1 1.000000+1 1.360699-1 1.011579+1 1.341799-1 1.023293+1 1.323160-1 1.035142+1 1.305257-1 1.083927+1 1.236034-1 1.096478+1 1.219310-1 1.100000+1 1.214694-1 1.135011+1 1.170507-1 1.174898+1 1.123664-1 1.202264+1 1.093486-1 1.230269+1 1.064118-1 1.244515+1 1.049775-1 1.258925+1 1.035637-1 1.273503+1 1.021689-1 1.288250+1 1.008256-1 1.303167+1 9.950010-2 1.318257+1 9.819197-2 1.400000+1 9.163456-2 1.500000+1 8.465283-2 1.513561+1 8.378226-2 1.548817+1 8.159551-2 1.584893+1 7.946594-2 1.603245+1 7.842481-2 1.621810+1 7.739795-2 1.640590+1 7.638457-2 1.659587+1 7.540697-2 1.678804+1 7.444188-2 1.698244+1 7.348965-2 1.800000+1 6.886002-2 1.949845+1 6.297104-2 1.972423+1 6.216576-2 2.018366+1 6.058598-2 2.089296+1 5.829127-2 2.113489+1 5.754772-2 2.137962+1 5.681409-2 2.162719+1 5.608983-2 2.200000+1 5.505429-2 2.213095+1 5.469940-2 2.344229+1 5.137364-2 2.570396+1 4.646846-2 2.630268+1 4.531726-2 2.722701+1 4.364370-2 2.851018+1 4.150806-2 2.884032+1 4.099175-2 2.917427+1 4.048213-2 2.951209+1 3.997884-2 3.000000+1 3.927283-2 3.054921+1 3.852037-2 3.090295+1 3.805057-2 3.273407+1 3.578615-2 3.548134+1 3.284089-2 3.630781+1 3.204487-2 3.758374+1 3.088688-2 3.981072+1 2.904915-2 4.000000+1 2.890296-2 4.027170+1 2.869561-2 4.073803+1 2.834650-2 4.168694+1 2.766099-2 4.265795+1 2.699207-2 4.365158+1 2.634964-2 4.466836+1 2.572275-2 4.841724+1 2.364383-2 5.248075+1 2.173313-2 5.308844+1 2.147310-2 5.495409+1 2.071152-2 5.754399+1 1.973795-2 5.821032+1 1.950219-2 5.888437+1 1.926932-2 6.025596+1 1.881190-2 6.237348+1 1.814606-2 6.309573+1 1.793206-2 6.456542+1 1.751160-2 6.683439+1 1.689950-2 8.035261+1 1.397864-2 9.332543+1 1.198153-2 9.772372+1 1.142648-2 1.023293+2 1.089714-2 1.071519+2 1.039233-2 1.083927+2 1.027004-2 1.096478+2 1.014920-2 1.122018+2 9.911764-3 1.135011+2 9.796519-3 1.161449+2 9.570110-3 1.273503+2 8.715625-3 1.659587+2 6.660813-3 1.927525+2 5.721739-3 2.041738+2 5.396892-3 2.137962+2 5.150346-3 2.162719+2 5.090546-3 2.187762+2 5.031442-3 2.238721+2 4.915285-3 2.264644+2 4.858578-3 2.317395+2 4.747134-3 2.540973+2 4.326350-3 3.311311+2 3.313111-3 3.845918+2 2.849290-3 4.073803+2 2.688715-3 4.265795+2 2.566795-3 4.315191+2 2.537206-3 4.365158+2 2.507959-3 4.466836+2 2.450471-3 4.518559+2 2.422332-3 4.623810+2 2.367025-3 1.011579+3 1.079329-3 1.318257+3 8.275646-4 1.531087+3 7.122033-4 1.621810+3 6.722452-4 1.698244+3 6.418989-4 1.717908+3 6.345316-4 1.737801+3 6.272484-4 1.778279+3 6.129324-4 1.798871+3 6.059125-4 1.840772+3 5.921142-4 1.000000+5 1.087996-5 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.790000-6 6.790000-6 7.990000-6 6.790000-6 7.990000-6 7.153922-6 1.659587-5 7.225087-6 3.589219-5 7.300223-6 5.166000-5 7.319336-6 5.166000-5 2.015314-5 5.250000-5 2.037155-5 5.310000-5 2.046300-5 5.400000-5 2.054380-5 5.650000-5 2.058223-5 6.568000-5 2.038010-5 6.568000-5 2.925439-5 6.650000-5 2.964975-5 6.770000-5 3.005582-5 6.806000-5 3.014376-5 6.806000-5 3.185302-5 6.920000-5 3.226230-5 7.133000-5 3.282620-5 7.133000-5 3.400514-5 7.370000-5 3.476476-5 8.650000-5 3.802537-5 9.225714-5 3.971380-5 9.549926-5 4.081193-5 9.914000-5 4.223061-5 9.914000-5 4.348296-5 1.035142-4 4.548173-5 1.080000-4 4.782917-5 1.220000-4 5.586932-5 1.273503-4 5.855115-5 1.333521-4 6.105165-5 1.396368-4 6.308369-5 1.462177-4 6.465855-5 1.531087-4 6.584203-5 1.621810-4 6.688606-5 1.737801-4 6.768040-5 1.905461-4 6.825201-5 2.238721-4 6.861630-5 2.945800-4 6.862921-5 2.945800-4 7.068972-5 3.105200-4 7.054867-5 3.105200-4 7.222616-5 3.290000-4 7.177080-5 3.485000-4 7.180937-5 3.801894-4 7.262804-5 4.430000-4 7.505416-5 4.845500-4 7.679159-5 4.845500-4 8.237703-5 5.703500-4 8.636577-5 5.703500-4 8.784610-5 6.606934-4 9.175675-5 6.753200-4 9.235387-5 6.753200-4 9.521283-5 7.900000-4 9.988856-5 9.332543-4 1.048664-4 1.083927-3 1.092352-4 1.273503-3 1.138732-4 1.500000-3 1.183895-4 1.757924-3 1.226044-4 2.044800-3 1.264332-4 2.044800-3 1.848556-4 2.123200-3 1.855651-4 2.123200-3 1.935782-4 2.317395-3 1.982717-4 2.430000-3 1.998598-4 2.539000-3 2.000446-4 2.539000-3 2.150920-4 2.900200-3 2.170348-4 2.900200-3 2.243631-4 3.145700-3 2.262232-4 3.145700-3 2.333193-4 4.120975-3 2.416866-4 5.432503-3 2.505410-4 7.000000-3 2.587704-4 8.709636-3 2.657756-4 1.109175-2 2.733594-4 1.121400-2 2.736886-4 1.121400-2 3.515801-4 1.285900-2 3.527016-4 1.285900-2 3.701312-4 1.339600-2 3.704511-4 1.339600-2 3.970999-4 1.905461-2 4.076735-4 2.691535-2 4.180990-4 3.758374-2 4.281737-4 5.128614-2 4.374372-4 6.683439-2 4.449314-4 7.631400-2 4.485295-4 7.631400-2 4.106040-4 1.883649-1 4.131478-4 5.308844-1 4.148139-4 1.000000+5 4.151174-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.790000-6 0.0 3.105200-4 0.0 3.105200-4 1.133335-9 3.162278-4 1.056169-9 3.200000-4 1.012670-9 3.250000-4 9.66378-10 3.290000-4 9.36364-10 3.330000-4 9.11313-10 3.370000-4 8.92112-10 3.400000-4 8.81994-10 3.440000-4 8.74345-10 3.485000-4 8.73754-10 3.515000-4 8.76843-10 3.550000-4 8.84606-10 3.600000-4 9.01559-10 3.650000-4 9.25472-10 3.715352-4 9.64569-10 3.801894-4 1.027465-9 3.890451-4 1.102410-9 4.027170-4 1.226757-9 4.100000-4 1.297870-9 4.265795-4 1.471171-9 4.365158-4 1.580950-9 4.570882-4 1.818703-9 4.845500-4 2.142233-9 4.845500-4 4.011122-9 5.580000-4 5.046091-9 5.703500-4 5.203466-9 5.703500-4 6.122057-9 6.309573-4 7.020683-9 6.753200-4 7.631595-9 6.753200-4 8.882124-9 7.413102-4 9.863561-9 7.900000-4 1.055367-8 8.810489-4 1.173445-8 9.332543-4 1.237935-8 1.011579-3 1.326454-8 1.083927-3 1.402651-8 1.190000-3 1.506489-8 1.303167-3 1.607779-8 1.412538-3 1.696596-8 1.566751-3 1.810260-8 1.737801-3 1.923442-8 1.950000-3 2.047631-8 2.044800-3 2.098118-8 2.044800-3 2.041677-8 2.123200-3 2.055826-8 2.123200-3 8.389684-6 2.162719-3 8.992869-6 2.163000-3 9.023132-6 2.235600-3 1.040189-5 2.238721-3 1.044596-5 2.264644-3 1.094654-5 2.294100-3 1.156137-5 2.344229-3 1.255024-5 2.354000-3 1.272190-5 2.400000-3 1.341889-5 2.430000-3 1.367448-5 2.454709-3 1.378707-5 2.483500-3 1.386631-5 2.539000-3 1.384701-5 2.539000-3 1.337127-5 2.900200-3 1.322203-5 2.900200-3 1.458935-5 3.145700-3 1.464520-5 3.145700-3 1.481561-5 4.073803-3 1.499751-5 5.248075-3 1.516963-5 7.673615-3 1.540743-5 1.121400-2 1.563953-5 1.121400-2 1.757116-3 1.285900-2 1.746270-3 1.285900-2 2.425430-3 1.339600-2 2.426447-3 1.339600-2 2.526101-3 1.737801-2 2.550790-3 2.600160-2 2.568261-3 4.518559-2 2.573329-3 7.631400-2 2.568254-3 7.631400-2 5.386290-2 9.120108-2 5.429355-2 1.161449-1 5.473946-2 1.584893-1 5.511882-2 2.660725-1 5.546786-2 7.413102-1 5.594583-2 1.202264+0 5.608302-2 1.000000+5 5.606415-2 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.790000-6 0.0 7.990000-6 1.200000-6 7.990000-6 8.360784-7 8.128305-6 9.767082-7 8.511380-6 1.353356-6 1.318257-5 5.979134-6 4.027170-5 3.296360-5 5.166000-5 4.434066-5 5.166000-5 3.150686-5 5.250000-5 3.212845-5 5.400000-5 3.345620-5 5.650000-5 3.591777-5 6.568000-5 4.529990-5 6.568000-5 3.642561-5 6.650000-5 3.685025-5 6.806000-5 3.791624-5 6.806000-5 3.620698-5 6.970000-5 3.728381-5 7.133000-5 3.850380-5 7.133000-5 3.732486-5 7.370000-5 3.893524-5 8.650000-5 4.847463-5 9.300000-5 5.304230-5 9.720000-5 5.574755-5 9.914000-5 5.690939-5 9.914000-5 5.565704-5 1.035142-4 5.803247-5 1.094400-4 6.080864-5 1.220000-4 6.613068-5 1.273503-4 6.879915-5 1.333521-4 7.230045-5 1.400000-4 7.681632-5 1.462177-4 8.155915-5 1.548817-4 8.879672-5 1.659587-4 9.876169-5 1.820000-4 1.139793-4 2.187762-4 1.501861-4 2.945800-4 2.259508-4 2.945800-4 2.238903-4 3.105200-4 2.399713-4 3.105200-4 2.382927-4 3.485000-4 2.766898-4 4.570882-4 3.814375-4 4.845500-4 4.077563-4 4.845500-4 4.021690-4 5.703500-4 4.839790-4 5.703500-4 4.824978-4 6.753200-4 5.829585-4 6.753200-4 5.800983-4 1.050000-3 9.416701-4 1.800000-3 1.676764-3 2.044800-3 1.918346-3 2.044800-3 1.859924-3 2.123200-3 1.937614-3 2.123200-3 1.921232-3 2.483500-3 2.269586-3 2.539000-3 2.325108-3 2.539000-3 2.310537-3 2.900200-3 2.669943-3 2.900200-3 2.661248-3 3.145700-3 2.904832-3 3.145700-3 2.897565-3 1.000000-2 9.714298-3 1.121400-2 1.092467-2 1.121400-2 9.105304-3 1.285900-2 1.076003-2 1.285900-2 1.006344-2 1.339600-2 1.059910-2 1.339600-2 1.047280-2 2.754229-2 2.455408-2 7.631400-2 7.329722-2 7.631400-2 2.204049-2 7.830000-2 2.397210-2 8.035261-2 2.593990-2 8.810489-2 3.346477-2 1.122019-1 5.709959-2 1.778279-1 1.221923-1 1.972423+0 1.915940+0 1.000000+5 9.999994+4 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 7.631400-2 2.344783+3 7.720000-2 2.274620+3 7.762471-2 2.246902+3 7.830000-2 2.194840+3 7.950000-2 2.119420+3 8.128305-2 1.996686+3 8.511380-2 1.783752+3 9.332543-2 1.403271+3 1.047129-1 1.044844+3 1.380384-1 5.039535+2 2.371374-1 1.189650+2 2.818383-1 7.550685+1 3.235937-1 5.276237+1 3.758374-1 3.604948+1 4.265795-1 2.629280+1 4.786301-1 1.986390+1 5.432503-1 1.470452+1 6.095369-1 1.126744+1 6.683439-1 9.157019+0 7.498942-1 7.117140+0 8.511380-1 5.435808+0 9.660509-1 4.180816+0 1.096478+0 3.247773+0 1.250000+0 2.518403+0 1.412538+0 2.002521+0 1.584893+0 1.625077+0 1.798871+0 1.301324+0 2.065380+0 1.028695+0 2.344229+0 8.354881-1 2.660725+0 6.835997-1 3.090295+0 5.437394-1 3.589219+0 4.357540-1 4.168694+0 3.517892-1 4.897788+0 2.814658-1 5.821032+0 2.233813-1 6.918310+0 1.786393-1 8.413951+0 1.397530-1 1.023293+1 1.100844-1 1.273503+1 8.500826-2 1.640590+1 6.355463-2 2.162719+1 4.666895-2 3.000000+1 3.267600-2 4.265795+1 2.245801-2 6.237348+1 1.509799-2 1.122018+2 8.247116-3 2.238721+2 4.089878-3 4.466836+2 2.038979-3 1.778279+3 5.100113-4 1.000000+5 9.053100-6 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 7.631400-2 4.009900-4 1.000000+5 4.009900-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 7.631400-2 6.686600-2 1.000000+5 6.686600-2 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 7.631400-2 9.047010-3 1.000000+5 9.999993+4 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.339600-2 8.609793+3 1.400000-2 7.986820+3 1.440000-2 7.598880+3 1.496236-2 7.139236+3 1.603245-2 6.298408+3 1.757924-2 5.361190+3 1.862087-2 4.822466+3 2.041738-2 4.052831+3 2.162719-2 3.629466+3 2.691535-2 2.350401+3 3.019952-2 1.851572+3 3.427678-2 1.419310+3 4.027170-2 1.000237+3 4.500000-2 7.818700+2 5.248075-2 5.518212+2 6.237348-2 3.694366+2 7.413102-2 2.450076+2 8.810489-2 1.611095+2 1.047129-1 1.051529+2 1.273503-1 6.435316+1 1.659587-1 3.281981+1 2.630268-1 1.011919+1 3.198895-1 6.177242+0 3.758374-1 4.141958+0 4.365158-1 2.878165+0 5.011872-1 2.071695+0 5.688529-1 1.543938+0 6.456542-1 1.158914+0 7.328245-1 8.763974-1 8.222427-1 6.845842-1 9.225714-1 5.387350-1 1.035142+0 4.273344-1 1.188502+0 3.259048-1 1.333521+0 2.617068-1 1.500000+0 2.105982-1 1.698244+0 1.688716-1 1.949845+0 1.330891-1 2.213095+0 1.076770-1 2.511886+0 8.781478-2 2.884032+0 7.087048-2 3.349654+0 5.660456-2 3.890451+0 4.554669-2 4.570882+0 3.632312-2 5.432503+0 2.873643-2 6.456542+0 2.291266-2 7.762471+0 1.813528-2 9.660509+0 1.385152-2 1.230269+1 1.038882-2 1.584893+1 7.759124-3 2.089296+1 5.691761-3 2.851018+1 4.052932-3 3.981072+1 2.836199-3 5.754399+1 1.927054-3 1.071519+2 1.014840-3 2.137962+2 5.030076-4 4.265795+2 2.506997-4 1.698244+3 6.269753-5 1.000000+5 1.062800-6 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.339600-2 5.676300-4 1.000000+5 5.676300-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.339600-2 3.163800-3 1.000000+5 3.163800-3 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.339600-2 9.664570-3 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.285900-2 1.725308+4 1.321000-2 1.610100+4 1.420000-2 1.343900+4 1.566751-2 1.041900+4 1.737801-2 7.947100+3 1.972423-2 5.647200+3 2.454709-2 3.099000+3 3.126079-2 1.563800+3 3.890451-2 8.306400+2 4.841724-2 4.364500+2 6.095369-2 2.195900+2 8.035261-2 9.545300+1 1.428894-1 1.666596+1 1.798871-1 8.348064+0 2.187762-1 4.673314+0 2.570396-1 2.918927+0 2.985383-1 1.899458+0 3.427678-1 1.287055+0 3.890451-1 9.072936-1 4.415705-1 6.444757-1 4.954502-1 4.757127-1 5.559043-1 3.537718-1 6.165950-1 2.728733-1 6.839117-1 2.119568-1 7.585776-1 1.657780-1 8.609938-1 1.236401-1 9.332543-1 1.032766-1 1.000000+0 8.911676-2 1.096478+0 7.387904-2 1.202264+0 6.166783-2 1.318257+0 5.183308-2 1.479108+0 4.205054-2 1.717908+0 3.224266-2 1.972423+0 2.541835-2 2.238721+0 2.058848-2 2.540973+0 1.680402-2 2.917427+0 1.356909-2 3.388442+0 1.084340-2 3.935501+0 8.730091-3 4.623810+0 6.965975-3 5.495409+0 5.513943-3 6.531306+0 4.398695-3 7.852356+0 3.483051-3 9.772372+0 2.661490-3 1.244515+1 1.997216-3 1.603245+1 1.492163-3 2.113489+1 1.095017-3 2.884032+1 7.799369-4 4.027170+1 5.459418-4 5.821032+1 3.710223-4 1.071519+2 1.977329-4 2.137962+2 9.800683-5 4.265795+2 4.884868-5 1.698244+3 1.221617-5 1.000000+5 2.070800-7 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.285900-2 4.147900-4 1.000000+5 4.147900-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.285900-2 4.165600-3 1.000000+5 4.165600-3 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.285900-2 8.278610-3 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.121400-2 3.927159+4 1.174898-2 3.452783+4 1.260000-2 2.854476+4 1.479108-2 1.830157+4 1.659587-2 1.318361+4 2.137962-2 6.311794+3 2.691535-2 3.168261+3 3.349654-2 1.622299+3 4.073803-2 8.818735+2 5.011872-2 4.580805+2 6.165950-2 2.359378+2 7.943282-2 1.039512+2 1.479108-1 1.369698+1 1.778279-1 7.552651+0 2.137962-1 4.194415+0 2.483133-1 2.620158+0 2.833700-1 1.742234+0 3.198895-1 1.206220+0 3.589219-1 8.565843-1 4.027170-1 6.128672-1 4.466836-1 4.566762-1 4.954502-1 3.427044-1 5.495409-1 2.591155-1 6.095369-1 1.975451-1 6.760830-1 1.517972-1 7.498942-1 1.175432-1 8.222427-1 9.426550-2 9.015711-1 7.610675-2 9.885531-1 6.186176-2 1.047129+0 5.472400-2 1.122018+0 4.755008-2 1.216186+0 4.066071-2 1.333521+0 3.425923-2 1.566751+0 2.568267-2 1.819701+0 1.974816-2 2.065380+0 1.591664-2 2.344229+0 1.292733-2 2.660725+0 1.057737-2 3.090295+0 8.413459-3 3.589219+0 6.742571-3 4.168694+0 5.443290-3 4.897788+0 4.355072-3 5.821032+0 3.456425-3 6.918310+0 2.764095-3 8.413951+0 2.162437-3 1.023293+1 1.703368-3 1.273503+1 1.315355-3 1.640590+1 9.833616-4 2.162719+1 7.221242-4 3.000000+1 5.056100-4 4.265795+1 3.474975-4 6.237348+1 2.336171-4 1.122018+2 1.276110-4 2.238721+2 6.328331-5 4.466836+2 3.154973-5 1.778279+3 7.891503-6 1.000000+5 1.400800-7 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.121400-2 4.005200-4 1.000000+5 4.005200-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.121400-2 2.851300-3 1.000000+5 2.851300-3 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.121400-2 7.962180-3 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 3.145700-3 2.454153+4 3.355000-3 2.282380+4 3.600000-3 2.074960+4 3.801894-3 1.932745+4 4.027170-3 1.779512+4 5.248075-3 1.196796+4 5.650000-3 1.063844+4 7.000000-3 7.450680+3 7.852356-3 6.097202+3 9.120108-3 4.671616+3 1.096478-2 3.324259+3 1.258925-2 2.555695+3 1.450000-2 1.942222+3 1.717908-2 1.385644+3 2.041738-2 9.737656+2 2.426610-2 6.784677+2 2.884032-2 4.687471+2 3.388442-2 3.294596+2 4.000000-2 2.274427+2 4.731513-2 1.551275+2 5.559043-2 1.066553+2 6.606934-2 7.085694+1 7.943282-2 4.545084+1 9.549926-2 2.890189+1 1.188502-1 1.674706+1 1.531088-1 8.832283+0 2.511886-1 2.499877+0 3.126079-1 1.440782+0 3.715352-1 9.388978-1 4.265795-1 6.708316-1 4.897788-1 4.826338-1 5.559043-1 3.592865-1 6.237348-1 2.764653-1 7.079458-1 2.087805-1 8.035261-1 1.588707-1 9.015711-1 1.247033-1 1.000000+0 1.009902-1 1.161449+0 7.518325-2 1.303167+0 6.029407-2 1.479108+0 4.766900-2 1.659587+0 3.879241-2 1.905461+0 3.053516-2 2.162719+0 2.468000-2 2.454709+0 2.010057-2 2.818383+0 1.619844-2 3.273407+0 1.292243-2 3.801894+0 1.038621-2 4.466836+0 8.273666-3 5.248075+0 6.640254-3 6.237348+0 5.286418-3 7.498942+0 4.178331-3 9.225714+0 3.232422-3 1.096478+1 2.626468-3 1.318257+1 2.115360-3 1.678804+1 1.603847-3 2.200000+1 1.186200-3 3.054921+1 8.299849-4 4.365158+1 5.677385-4 6.456542+1 3.773147-4 1.135011+2 2.111171-4 2.264644+2 1.047067-4 4.518559+2 5.220565-5 1.798871+3 1.305859-5 1.000000+5 2.344900-7 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 3.145700-3 3.991900-4 1.000000+5 3.991900-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.145700-3 1.879900-5 1.000000+5 1.879900-5 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.145700-3 2.727711-3 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 2.900200-3 4.006907+4 3.030000-3 3.822020+4 3.070000-3 3.754940+4 3.162278-3 3.637353+4 3.427678-3 3.298593+4 3.672823-3 3.005104+4 4.120975-3 2.546487+4 4.518559-3 2.214111+4 4.841724-3 1.982243+4 5.150000-3 1.786370+4 6.095369-3 1.323512+4 6.531306-3 1.164191+4 7.413102-3 9.095910+3 8.128305-3 7.565656+3 9.015711-3 6.096992+3 1.011579-2 4.769360+3 1.135011-2 3.697049+3 1.273503-2 2.848712+3 1.462177-2 2.062943+3 1.640590-2 1.565041+3 1.850000-2 1.165950+3 2.150000-2 7.992580+2 2.500000-2 5.419920+2 2.917427-2 3.608313+2 3.400000-2 2.390189+2 3.981072-2 1.550732+2 4.677351-2 9.891308+1 5.500000-2 6.248686+1 6.683439-2 3.567178+1 8.413951-2 1.823941+1 1.096478-1 8.368614+0 1.659587-1 2.462849+0 2.089296-1 1.256604+0 2.511886-1 7.386812-1 2.951209-1 4.675094-1 3.388442-1 3.180228-1 3.890451-1 2.179518-1 4.415705-1 1.553100-1 5.000000-1 1.122369-1 5.623413-1 8.318799-2 6.237348-1 6.430854-2 6.918310-1 5.004991-2 7.673615-1 3.922264-2 8.609938-1 3.011749-2 9.332543-1 2.519128-2 1.000000+0 2.174367-2 1.083927+0 1.844342-2 1.188502+0 1.539088-2 1.318257+0 1.265469-2 1.479108+0 1.026039-2 1.717908+0 7.866149-3 1.972423+0 6.201199-3 2.238721+0 5.022318-3 2.540973+0 4.099045-3 2.917427+0 3.310003-3 3.388442+0 2.645102-3 3.935501+0 2.129565-3 4.623810+0 1.699218-3 5.495409+0 1.345002-3 6.531306+0 1.072965-3 7.852356+0 8.496318-4 9.772372+0 6.492242-4 1.244515+1 4.871949-4 1.603245+1 3.639916-4 2.113489+1 2.671030-4 2.884032+1 1.902538-4 4.000000+1 1.341300-4 5.754399+1 9.159169-5 1.071519+2 4.823288-5 2.137962+2 2.390760-5 4.265795+2 1.191561-5 1.698244+3 2.979951-6 1.000000+5 5.051300-8 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 2.900200-3 3.443200-4 1.000000+5 3.443200-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.900200-3 3.697100-5 1.000000+5 3.697100-5 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 2.900200-3 2.518909-3 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.539000-3 1.222288+5 2.660725-3 1.148993+5 2.722701-3 1.105774+5 2.818383-3 1.051010+5 3.054921-3 9.262237+4 3.311311-3 8.088740+4 3.801894-3 6.369894+4 4.168694-3 5.392553+4 4.466836-3 4.730999+4 5.400000-3 3.253708+4 5.821032-3 2.786843+4 6.839116-3 1.976613+4 7.500000-3 1.612272+4 8.609938-3 1.178824+4 9.549926-3 9.250965+3 1.083927-2 6.832035+3 1.230269-2 5.002320+3 1.380384-2 3.742734+3 1.566751-2 2.700683+3 1.800000-2 1.872628+3 2.065380-2 1.291850+3 2.371374-2 8.825793+2 2.722701-2 5.983347+2 3.162278-2 3.894851+2 3.672823-2 2.514424+2 4.265795-2 1.611065+2 5.011872-2 9.897657+1 5.956621-2 5.825040+1 7.161434-2 3.283059+1 8.912509-2 1.648007+1 1.737801-1 1.967982+0 2.065380-1 1.142469+0 2.483133-1 6.449717-1 2.851018-1 4.230232-1 3.235937-1 2.893816-1 3.630781-1 2.062856-1 4.073803-1 1.481119-1 4.518559-1 1.106794-1 5.011872-1 8.327600-2 5.559043-1 6.312245-2 6.165950-1 4.820524-2 6.839117-1 3.709772-2 7.585776-1 2.877239-2 8.609938-1 2.124763-2 9.225714-1 1.811797-2 9.772372-1 1.595480-2 1.047129+0 1.380200-2 1.135011+0 1.173295-2 1.244515+0 9.818259-3 1.380384+0 8.108710-3 1.678804+0 5.721710-3 1.927525+0 4.503856-3 2.187762+0 3.642017-3 2.483133+0 2.968217-3 2.851018+0 2.393584-3 3.311311+0 1.910592-3 3.845918+0 1.536480-3 4.518559+0 1.224637-3 5.308844+0 9.833792-4 6.309573+0 7.833087-4 7.585776+0 6.194018-4 9.440609+0 4.726902-4 1.174898+1 3.639145-4 1.500000+1 2.741700-4 1.949845+1 2.039350-4 2.570396+1 1.504820-4 3.548134+1 1.063486-4 5.248075+1 7.038406-5 9.332543+1 3.880203-5 1.659587+2 2.157548-5 3.311311+2 1.073417-5 1.318257+3 2.681135-6 1.000000+5 3.526800-8 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.539000-3 3.111600-4 1.000000+5 3.111600-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.539000-3 1.033400-5 1.000000+5 1.033400-5 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.539000-3 2.217506-3 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.123200-3 1.850614+5 2.162719-3 1.952335+5 2.163000-3 1.960158+5 2.213095-3 2.142544+5 2.235600-3 2.220982+5 2.238721-3 2.227911+5 2.294100-3 2.430151+5 2.344229-3 2.583830+5 2.354000-3 2.607062+5 2.400000-3 2.681303+5 2.430000-3 2.671446+5 2.454709-3 2.636202+5 2.483500-3 2.582303+5 2.754229-3 1.976554+5 3.054921-3 1.500615+5 3.359000-3 1.158068+5 3.672823-3 9.019240+4 4.027170-3 6.929552+4 4.518559-3 4.956940+4 5.248075-3 3.158759+4 5.754399-3 2.383877+4 6.800000-3 1.412520+4 7.500000-3 1.032480+4 8.709636-3 6.347264+3 1.011579-2 3.857700+3 1.135011-2 2.612513+3 1.288250-2 1.691167+3 1.500000-2 9.939000+2 1.757924-2 5.656485+2 2.041738-2 3.296416+2 2.400000-2 1.824316+2 2.818383-2 1.005155+2 3.311311-2 5.488443+1 3.935501-2 2.850319+1 4.841724-2 1.288306+1 6.382635-2 4.429549+0 1.035142-1 6.805235-1 1.288250-1 2.936189-1 1.566751-1 1.394786-1 1.819701-1 7.945384-2 2.041738-1 5.184632-2 2.344229-1 3.129426-2 2.660725-1 1.984951-2 3.000060-1 1.298783-2 3.349654-1 8.853592-3 3.715352-1 6.215770-3 4.120975-1 4.393796-3 4.570882-1 3.128792-3 5.069907-1 2.245044-3 5.559043-1 1.682475-3 6.025596-1 1.315390-3 6.531306-1 1.036971-3 7.161434-1 7.961314-4 7.943282-1 5.962075-4 8.609938-1 4.743884-4 9.120108-1 4.053355-4 9.549926-1 3.594364-4 1.000000+0 3.207335-4 1.047129+0 2.882965-4 1.096478+0 2.609953-4 1.148154+0 2.377189-4 1.216186+0 2.129905-4 1.318257+0 1.841102-4 1.513561+0 1.452512-4 1.862087+0 1.009466-4 2.089296+0 8.300324-5 2.371374+0 6.746003-5 2.691535+0 5.523144-5 3.126079+0 4.395868-5 3.630781+0 3.524960-5 4.216965+0 2.847269-5 4.954502+0 2.279291-5 5.888437+0 1.809878-5 7.000000+0 1.447600-5 8.511380+0 1.133353-5 1.035142+1 8.931783-6 1.273503+1 6.992528-6 1.640590+1 5.227749-6 2.162719+1 3.838835-6 3.000000+1 2.687900-6 4.265795+1 1.847347-6 6.237348+1 1.241904-6 1.122018+2 6.783853-7 2.238721+2 3.364158-7 4.466836+2 1.677196-7 1.778279+3 4.195194-8 1.000000+5 7.44680-10 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.123200-3 2.279200-4 1.000000+5 2.279200-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.123200-3 4.425700-5 1.000000+5 4.425700-5 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.123200-3 1.851023-3 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.044800-3 5.410429+5 2.136000-3 5.020008+5 2.238721-3 4.683752+5 2.264644-3 4.598481+5 2.300000-3 4.453092+5 2.371374-3 4.122929+5 2.650000-3 3.081390+5 2.951209-3 2.304360+5 3.311311-3 1.674157+5 3.715352-3 1.205008+5 4.315191-3 7.770192+4 4.677351-3 6.089656+4 5.432503-3 3.845674+4 6.000000-3 2.812110+4 6.839116-3 1.850487+4 7.762471-3 1.223319+4 8.709636-3 8.345031+3 1.000000-2 5.228622+3 1.135011-2 3.379428+3 1.288250-2 2.168737+3 1.462177-2 1.382320+3 1.678804-2 8.394306+2 1.927525-2 5.059906+2 2.238721-2 2.900793+2 2.600160-2 1.650134+2 3.000000-2 9.560940+1 3.548134-2 5.002461+1 4.300000-2 2.361486+1 5.248075-2 1.076244+1 1.035142-1 7.214961-1 1.258925-1 3.331271-1 1.479108-1 1.774434-1 1.717908-1 9.951658-2 1.949845-1 6.145235-2 2.187762-1 3.994869-2 2.426610-1 2.729432-2 2.691535-1 1.877499-2 2.985383-1 1.300904-2 3.311311-1 9.082364-3 3.630781-1 6.644947-3 3.981072-1 4.895948-3 4.365158-1 3.635293-3 4.786301-1 2.720367-3 5.188000-1 2.125171-3 5.688529-1 1.615131-3 6.309573-1 1.196439-3 6.839117-1 9.533567-4 7.413102-1 7.645899-4 8.317638-1 5.635601-4 8.810489-1 4.861569-4 9.332543-1 4.220726-4 9.772372-1 3.790047-4 1.023293+0 3.422221-4 1.083927+0 3.030714-4 1.161449+0 2.638563-4 1.258925+0 2.263400-4 1.380384+0 1.915521-4 1.819701+0 1.178628-4 2.065380+0 9.496431-5 2.344229+0 7.712369-5 2.660725+0 6.310994-5 3.090295+0 5.020693-5 3.589219+0 4.023613-5 4.168694+0 3.248279-5 4.897788+0 2.598890-5 5.821032+0 2.062638-5 6.918310+0 1.649464-5 8.413951+0 1.290431-5 1.023293+1 1.016484-5 1.273503+1 7.849347-6 1.640590+1 5.868398-6 2.162719+1 4.309313-6 3.000000+1 3.017200-6 4.265795+1 2.073724-6 6.237348+1 1.394155-6 1.122018+2 7.615054-7 2.238721+2 3.776427-7 4.466836+2 1.882739-7 1.778279+3 4.709264-8 1.000000+5 8.35940-10 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.044800-3 2.183700-4 1.000000+5 2.183700-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.044800-3 2.009300-8 1.000000+5 2.009300-8 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.044800-3 1.826410-3 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 6.753200-4 5.705150+4 7.650000-4 5.262300+4 8.609938-4 4.752379+4 9.332543-4 4.421583+4 9.885531-4 4.172847+4 1.202264-3 3.351704+4 1.303167-3 3.042761+4 1.500000-3 2.538480+4 1.659587-3 2.218182+4 1.862087-3 1.886329+4 2.138000-3 1.542779+4 2.483133-3 1.228595+4 2.818383-3 1.006940+4 3.311311-3 7.750992+3 3.890451-3 5.915728+3 4.570882-3 4.479190+3 5.432503-3 3.298159+3 6.500000-3 2.379900+3 7.762471-3 1.709893+3 9.225714-3 1.231001+3 1.109175-2 8.608115+2 1.333521-2 5.974237+2 1.584893-2 4.211968+2 1.905461-2 2.879101+2 2.290868-2 1.951810+2 2.722701-2 1.345583+2 3.235937-2 9.208580+1 3.845918-2 6.255667+1 4.570882-2 4.217921+1 5.432503-2 2.822777+1 6.456542-2 1.875089+1 7.762471-2 1.202686+1 9.332543-2 7.656712+0 1.148154-1 4.570135+0 1.513561-1 2.276148+0 2.483133-1 6.446058-1 3.090295-1 3.714932-1 3.672823-1 2.420180-1 4.265795-1 1.681203-1 4.897788-1 1.209679-1 5.559043-1 9.005688-2 6.237348-1 6.929654-2 7.079458-1 5.232717-2 8.035261-1 3.981630-2 9.015711-1 3.125595-2 1.000000+0 2.531299-2 1.161449+0 1.884454-2 1.303167+0 1.511298-2 1.479108+0 1.194829-2 1.659587+0 9.723255-3 1.905461+0 7.653539-3 2.162719+0 6.185981-3 2.454709+0 5.038173-3 2.818383+0 4.060113-3 3.273407+0 3.238986-3 3.801894+0 2.603278-3 4.466836+0 2.073746-3 5.248075+0 1.664327-3 6.237348+0 1.325000-3 7.498942+0 1.047273-3 9.332543+0 7.988895-4 1.135011+1 6.318120-4 1.400000+1 4.945600-4 1.800000+1 3.716600-4 2.344229+1 2.773116-4 3.273407+1 1.931707-4 4.841724+1 1.276091-4 8.035261+1 7.544775-5 1.273503+2 4.705785-5 2.540973+2 2.336403-5 1.011579+3 5.826037-6 1.000000+5 5.877500-8 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 6.753200-4 2.268700-4 1.000000+5 2.268700-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 6.753200-4 6.647000-8 1.000000+5 6.647000-8 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 6.753200-4 4.483835-4 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 5.703500-4 4.699746+4 7.000000-4 4.638320+4 7.413102-4 4.600241+4 7.900000-4 4.531780+4 8.609938-4 4.392550+4 9.332543-4 4.235767+4 1.011579-3 4.051788+4 1.071519-3 3.903609+4 1.150000-3 3.701620+4 1.258925-3 3.430278+4 1.364583-3 3.185293+4 1.479108-3 2.934457+4 1.640590-3 2.617801+4 1.778279-3 2.381046+4 1.950000-3 2.120580+4 2.162719-3 1.849196+4 2.371374-3 1.625462+4 2.660725-3 1.372711+4 2.951209-3 1.169956+4 3.311311-3 9.724604+3 3.715352-3 8.015520+3 4.150000-3 6.611360+3 4.677351-3 5.328211+3 5.308844-3 4.204657+3 6.000000-3 3.318560+3 6.760830-3 2.616033+3 7.585776-3 2.066489+3 8.609938-3 1.582986+3 9.800000-3 1.196296+3 1.109175-2 9.087451+2 1.258925-2 6.812138+2 1.428894-2 5.070247+2 1.640590-2 3.644907+2 1.883649-2 2.598745+2 2.162719-2 1.838769+2 2.483133-2 1.291288+2 2.851018-2 9.003965+1 3.311311-2 6.046310+1 3.845918-2 4.030248+1 4.518559-2 2.583953+1 5.370318-2 1.592036+1 6.456542-2 9.420729+0 8.035261-2 5.009005+0 1.047129-1 2.310699+0 1.798871-1 4.717428-1 2.162719-1 2.765057-1 2.570396-1 1.689254-1 3.019952-1 1.072099-1 3.467369-1 7.309195-2 3.935501-1 5.178566-2 4.466836-1 3.695612-2 5.011872-1 2.738155-2 5.623413-1 2.043197-2 6.237348-1 1.580267-2 6.918310-1 1.230370-2 7.673615-1 9.644077-3 8.709636-1 7.210453-3 9.440609-1 6.035150-3 1.011579+0 5.216671-3 1.109175+0 4.329811-3 1.216186+0 3.617205-3 1.333521+0 3.042393-3 1.513561+0 2.418594-3 1.737801+0 1.893624-3 1.995262+0 1.493754-3 2.264644+0 1.210813-3 2.570396+0 9.887799-4 2.951209+0 7.987547-4 3.427678+0 6.386357-4 4.000000+0 5.110000-4 4.677351+0 4.107142-4 5.559043+0 3.252793-4 6.606934+0 2.596153-4 8.035261+0 2.027373-4 1.000000+1 1.550500-4 1.258925+1 1.180476-4 1.621810+1 8.822409-5 2.137962+1 6.476273-5 2.951209+1 4.557137-5 4.168694+1 3.152921-5 6.025596+1 2.144206-5 1.096478+2 1.156863-5 2.187762+2 5.735835-6 4.365158+2 2.859166-6 1.737801+3 7.150952-7 1.000000+5 1.240400-8 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 5.703500-4 1.933800-4 1.000000+5 1.933800-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 5.703500-4 7.160900-8 1.000000+5 7.160900-8 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 5.703500-4 3.768984-4 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 4.845500-4 2.274378+5 5.580000-4 2.158574+5 6.309573-4 1.990481+5 7.150000-4 1.795596+5 7.852356-4 1.650520+5 8.700000-4 1.492860+5 9.332543-4 1.385465+5 1.030000-3 1.236564+5 1.150000-3 1.081268+5 1.258925-3 9.613311+4 1.412538-3 8.209205+4 1.548817-3 7.194638+4 1.737801-3 6.052775+4 1.927525-3 5.148950+4 2.162719-3 4.270174+4 2.426610-3 3.516441+4 2.722701-3 2.875608+4 3.054921-3 2.335194+4 3.427678-3 1.883734+4 3.900000-3 1.469036+4 4.415704-3 1.147521+4 5.011872-3 8.852392+3 5.623413-3 6.946110+3 6.309573-3 5.417149+3 7.079458-3 4.199713+3 8.035261-3 3.152142+3 9.120108-3 2.349105+3 1.023293-2 1.787089+3 1.161449-2 1.313952+3 1.318257-2 9.594101+2 1.500000-2 6.909640+2 1.717908-2 4.856014+2 1.972423-2 3.364410+2 2.264644-2 2.312253+2 2.600160-2 1.577011+2 3.000000-2 1.052924+2 3.467369-2 6.941601+1 4.027170-2 4.477792+1 4.677351-2 2.866970+1 5.495409-2 1.760530+1 6.531306-2 1.036021+1 8.000000-2 5.511040+0 1.011580-1 2.631799+0 1.778279-1 4.401450-1 2.113489-1 2.562309-1 2.570396-1 1.400257-1 2.951209-1 9.205310-2 3.349654-1 6.314455-2 3.758374-1 4.513748-2 4.216965-1 3.250484-2 4.677351-1 2.435519-2 5.188000-1 1.837453-2 5.754399-1 1.396353-2 6.309573-1 1.101188-2 6.998420-1 8.494279-3 7.762471-1 6.604130-3 8.709636-1 5.021057-3 9.332543-1 4.287824-3 9.885531-1 3.781096-3 1.071519+0 3.199235-3 1.174898+0 2.664148-3 1.273503+0 2.284491-3 1.412538+0 1.889767-3 1.698244+0 1.362117-3 1.949845+0 1.072840-3 2.213095+0 8.681532-4 2.511886+0 7.080207-4 2.884032+0 5.713250-4 3.349654+0 4.562954-4 3.890451+0 3.671539-4 4.570882+0 2.927969-4 5.370318+0 2.352345-4 6.382635+0 1.874692-4 7.673615+0 1.483067-4 9.549926+0 1.132305-4 1.202264+1 8.603259-5 1.548817+1 6.420829-5 2.018366+1 4.767246-5 2.722701+1 3.434125-5 3.758374+1 2.430151-5 5.495409+1 1.629622-5 1.023293+2 8.575096-6 2.041738+2 4.248159-6 4.073803+2 2.116725-6 1.621810+3 5.292598-7 1.000000+5 8.567200-9 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 4.845500-4 1.788500-4 1.000000+5 1.788500-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 4.845500-4 3.629100-8 1.000000+5 3.629100-8 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 4.845500-4 3.056637-4 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 3.105200-4 1.676632+5 3.162278-4 1.538785+5 3.200000-4 1.461348+5 3.250000-4 1.376476+5 3.290000-4 1.319824+5 3.330000-4 1.271740+5 3.370000-4 1.232804+5 3.400000-4 1.210000+5 3.440000-4 1.188160+5 3.480000-4 1.175264+5 3.515000-4 1.170508+5 3.550000-4 1.171060+5 3.600000-4 1.180000+5 3.650000-4 1.196932+5 3.715352-4 1.228743+5 3.801894-4 1.282944+5 4.216965-4 1.600855+5 4.430000-4 1.768736+5 4.600000-4 1.896244+5 4.731513-4 1.986186+5 4.850000-4 2.059200+5 5.011872-4 2.145345+5 5.188000-4 2.223195+5 5.370318-4 2.288487+5 5.580000-4 2.347852+5 5.800000-4 2.393208+5 6.025596-4 2.421512+5 6.280000-4 2.434744+5 6.531306-4 2.431511+5 6.850000-4 2.410752+5 7.161434-4 2.377297+5 7.500000-4 2.328772+5 7.900000-4 2.258196+5 8.317638-4 2.174948+5 8.810489-4 2.071720+5 9.332543-4 1.960518+5 9.885531-4 1.842576+5 1.050000-3 1.715372+5 1.122018-3 1.575192+5 1.202264-3 1.431570+5 1.288250-3 1.291567+5 1.400000-3 1.131904+5 1.513561-3 9.925576+4 1.650000-3 8.510000+4 1.778279-3 7.399646+4 1.927525-3 6.322520+4 2.113489-3 5.241123+4 2.300000-3 4.380280+4 2.511886-3 3.608125+4 2.754229-3 2.924772+4 3.019952-3 2.354128+4 3.311311-3 1.881589+4 3.650000-3 1.474508+4 4.073803-3 1.110487+4 4.570882-3 8.173807+3 5.069907-3 6.155013+3 5.623413-3 4.602781+3 6.237348-3 3.418485+3 6.918310-3 2.522284+3 7.673615-3 1.849227+3 8.511380-3 1.347294+3 9.440609-3 9.756815+2 1.059254-2 6.771380+2 1.188502-2 4.665277+2 1.333521-2 3.191971+2 1.513561-2 2.086485+2 1.717908-2 1.353335+2 1.949845-2 8.714959+1 2.238721-2 5.350558+1 2.570396-2 3.260665+1 2.985383-2 1.892201+1 3.507519-2 1.044613+1 4.168694-2 5.483259+0 5.069907-2 2.619365+0 6.382635-2 1.089164+0 1.122019-1 1.254869-1 1.396368-1 5.465682-2 1.698244-1 2.617819-2 1.972423-1 1.501669-2 2.238721-1 9.452047-3 2.540973-1 5.991852-3 2.884032-1 3.827315-3 3.235937-1 2.564054-3 3.630781-1 1.730277-3 4.027170-1 1.222752-3 4.466836-1 8.700688-4 4.954502-1 6.237039-4 5.432503-1 4.668615-4 5.956621-1 3.519613-4 6.456542-1 2.771798-4 7.079458-1 2.126033-4 8.035261-1 1.492172-4 8.609938-1 1.226618-4 9.120108-1 1.048370-4 9.549926-1 9.298675-5 1.000000+0 8.299208-5 1.047129+0 7.461202-5 1.096478+0 6.755377-5 1.148154+0 6.153245-5 1.216186+0 5.513224-5 1.318257+0 4.765551-5 1.531087+0 3.683918-5 1.862087+0 2.612901-5 2.089296+0 2.148376-5 2.371374+0 1.746062-5 2.691535+0 1.429623-5 3.126079+0 1.137894-5 3.630781+0 9.124344-6 4.216965+0 7.369971-6 4.954502+0 5.899712-6 5.888437+0 4.684729-6 7.000000+0 3.747000-6 8.511380+0 2.933551-6 1.035142+1 2.311886-6 1.288250+1 1.785916-6 1.640590+1 1.353202-6 2.137962+1 1.006354-6 2.951209+1 7.081522-7 4.168694+1 4.899409-7 6.025596+1 3.331946-7 1.096478+2 1.797742-7 2.187762+2 8.913088-8 4.365158+2 4.442951-8 1.737801+3 1.111197-8 1.000000+5 1.92760-10 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 3.105200-4 1.311200-4 1.000000+5 1.311200-4 1 77000 7 7 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 3.105200-4 4.092300-8 1.000000+5 4.092300-8 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 3.105200-4 1.793591-4 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 2.945800-4 2.111964+5 2.955000-4 2.123082+5 2.970000-4 2.127702+5 2.985383-4 2.121774+5 3.004800-4 2.103440+5 3.030000-4 2.068266+5 3.065000-4 2.008950+5 3.162278-4 1.842659+5 3.200000-4 1.793136+5 3.235937-4 1.758631+5 3.273407-4 1.736330+5 3.311311-4 1.727062+5 3.350000-4 1.729950+5 3.391100-4 1.745052+5 3.430000-4 1.769352+5 3.485000-4 1.817922+5 3.550000-4 1.892388+5 3.650000-4 2.030478+5 3.820000-4 2.287740+5 3.935501-4 2.459936+5 4.073803-4 2.658778+5 4.216965-4 2.856789+5 4.365158-4 3.050565+5 4.500000-4 3.211878+5 4.623810-4 3.343722+5 4.731513-4 3.444426+5 4.897788-4 3.575482+5 5.080000-4 3.689214+5 5.248075-4 3.771505+5 5.450000-4 3.845976+5 5.650000-4 3.895488+5 5.888437-4 3.924581+5 6.100000-4 3.926214+5 6.382635-4 3.900742+5 6.700000-4 3.845586+5 7.000000-4 3.775224+5 7.328245-4 3.682156+5 7.673615-4 3.569791+5 8.128305-4 3.408074+5 8.609938-4 3.231283+5 9.120108-4 3.045045+5 9.660509-4 2.850925+5 1.035142-3 2.614276+5 1.110000-3 2.377482+5 1.190000-3 2.147616+5 1.288250-3 1.897207+5 1.396368-3 1.659297+5 1.513561-3 1.440153+5 1.640590-3 1.240928+5 1.778279-3 1.061880+5 1.927525-3 9.027618+4 2.113489-3 7.439958+4 2.300000-3 6.186900+4 2.511886-3 5.069509+4 2.754229-3 4.087648+4 3.054921-3 3.181806+4 3.388442-3 2.455058+4 3.715352-3 1.936355+4 4.073803-3 1.518062+4 4.570882-3 1.110159+4 5.128614-3 8.044170+3 5.754399-3 5.778896+3 6.500000-3 4.034622+3 7.300000-3 2.840568+3 8.128305-3 2.037848+3 9.015711-3 1.470114+3 1.023293-2 9.781873+2 1.148154-2 6.702092+2 1.288250-2 4.559253+2 1.445440-2 3.080109+2 1.621810-2 2.066741+2 1.840772-2 1.322663+2 2.089296-2 8.402553+1 2.398833-2 5.081768+1 2.754229-2 3.050160+1 3.198895-2 1.740847+1 3.758374-2 9.438727+0 4.415704-2 5.079267+0 5.308844-2 2.482699+0 6.683439-2 1.006177+0 1.122019-1 1.307604-1 1.364583-1 6.080077-2 1.584893-1 3.407677-2 1.819701-1 2.011404-2 2.041738-1 1.304930-2 2.290868-1 8.528260-3 2.540973-1 5.854003-3 2.818383-1 4.045354-3 3.126079-1 2.815235-3 3.427678-1 2.052653-3 3.758374-1 1.506643-3 4.120975-1 1.113807-3 4.518559-1 8.297073-4 4.897788-1 6.455174-4 5.308844-1 5.056448-4 5.754399-1 3.986997-4 6.237348-1 3.163696-4 6.760830-1 2.526148-4 7.328245-1 2.029870-4 8.511380-1 1.369167-4 9.015711-1 1.183316-4 9.549926-1 1.029624-4 1.000000+0 9.265593-5 1.059254+0 8.181526-5 1.122018+0 7.268312-5 1.202264+0 6.349462-5 1.303167+0 5.465348-5 1.445440+0 4.546421-5 1.819701+0 3.033655-5 2.065380+0 2.444480-5 2.344229+0 1.985395-5 2.660725+0 1.624462-5 3.090295+0 1.292109-5 3.589219+0 1.035516-5 4.168694+0 8.359830-6 4.897788+0 6.688529-6 5.821032+0 5.308264-6 6.918310+0 4.245056-6 8.413951+0 3.321028-6 1.023293+1 2.616056-6 1.273503+1 2.020101-6 1.640590+1 1.510283-6 2.137962+1 1.123168-6 2.951209+1 7.903631-7 4.168694+1 5.468178-7 6.025596+1 3.718734-7 1.096478+2 2.006415-7 2.187762+2 9.947703-8 4.365158+2 4.958770-8 1.737801+3 1.240181-8 1.000000+5 2.15140-10 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 2.945800-4 1.278500-4 1.000000+5 1.278500-4 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 2.945800-4 1.667300-4 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 7.133000-5 2.558904+5 7.161434-5 2.621073+5 7.200000-5 2.692788+5 7.244360-5 2.759443+5 7.300000-5 2.826702+5 7.370000-5 2.888694+5 7.450000-5 2.940366+5 7.550000-5 2.981208+5 7.700000-5 3.013890+5 7.852356-5 3.024596+5 8.035261-5 3.019067+5 8.413951-5 2.979557+5 8.912509-5 2.921565+5 9.225714-5 2.901757+5 9.500000-5 2.905020+5 9.720000-5 2.926152+5 9.950000-5 2.969856+5 1.011579-4 3.016575+5 1.030000-4 3.085176+5 1.050000-4 3.180840+5 1.071519-4 3.309651+5 1.094400-4 3.476641+5 1.114600-4 3.650490+5 1.135011-4 3.850667+5 1.161449-4 4.145672+5 1.190000-4 4.507014+5 1.244515-4 5.305733+5 1.333521-4 6.848645+5 1.396368-4 8.064222+5 1.450000-4 9.161280+5 1.513561-4 1.051604+6 1.580000-4 1.197426+6 1.641700-4 1.334210+6 1.705000-4 1.473426+6 1.760000-4 1.591038+6 1.820000-4 1.712784+6 1.880000-4 1.825230+6 1.930000-4 1.910826+6 1.995262-4 2.011132+6 2.065380-4 2.104862+6 2.137962-4 2.187232+6 2.220000-4 2.263356+6 2.300000-4 2.321826+6 2.400000-4 2.376306+6 2.500000-4 2.412360+6 2.600160-4 2.432041+6 2.691535-4 2.436568+6 2.800000-4 2.426352+6 2.917427-4 2.398693+6 3.054921-4 2.349707+6 3.200000-4 2.285004+6 3.350000-4 2.209014+6 3.507519-4 2.122989+6 3.700000-4 2.013576+6 3.890451-4 1.903458+6 4.100000-4 1.781748+6 4.315191-4 1.659021+6 4.570882-4 1.520633+6 4.850000-4 1.380750+6 5.150000-4 1.243722+6 5.432503-4 1.126996+6 5.754399-4 1.006969+6 6.165950-4 8.729139+5 6.606934-4 7.514252+5 7.079458-4 6.423035+5 7.585776-4 5.453250+5 8.222426-4 4.467354+5 8.810489-4 3.743702+5 9.549926-4 3.025247+5 1.035142-3 2.425868+5 1.122018-3 1.933797+5 1.230269-3 1.480698+5 1.364583-3 1.086129+5 1.513561-3 7.893961+4 1.678804-3 5.686014+4 1.862087-3 4.062039+4 2.089296-3 2.768945+4 2.317395-3 1.944223+4 2.570396-3 1.355992+4 2.851018-3 9.393191+3 3.169000-3 6.411776+3 3.548134-3 4.229757+3 3.981072-3 2.746438+3 4.466836-3 1.769174+3 5.011872-3 1.131083+3 5.623413-3 7.179442+2 6.309573-3 4.525814+2 7.161434-3 2.703449+2 8.128305-3 1.602154+2 9.225714-3 9.422919+1 1.035142-2 5.777006+1 1.174898-2 3.346859+1 1.333521-2 1.924683+1 1.531087-2 1.044414+1 1.778279-2 5.341568+0 2.089296-2 2.573870+0 2.483133-2 1.168442+0 3.019952-2 4.735035-1 3.715352-2 1.799623-1 7.498942-2 6.612494-3 9.225714-2 2.510434-3 1.059254-1 1.323756-3 1.244515-1 6.319703-4 1.445440-1 3.203017-4 1.678804-1 1.632694-4 1.883649-1 9.791673-5 2.041738-1 6.883316-5 2.264644-1 4.412338-5 2.511886-1 2.850199-5 2.786121-1 1.854752-5 3.090295-1 1.215470-5 3.427678-1 8.024486-6 3.801894-1 5.337472-6 4.265795-1 3.419107-6 4.623810-1 2.518563-6 5.011872-1 1.867618-6 5.432503-1 1.395912-6 5.888437-1 1.051349-6 6.309573-1 8.299763-7 6.839117-1 6.346257-7 7.413102-1 4.890472-7 8.035261-1 3.753896-7 8.511380-1 3.127981-7 8.912509-1 2.720151-7 9.332543-1 2.382126-7 9.660509-1 2.168182-7 1.000000+0 1.983900-7 1.035142+0 1.825542-7 1.083927+0 1.645914-7 1.135011+0 1.494859-7 1.188502+0 1.366049-7 1.273503+0 1.203736-7 1.364583+0 1.067941-7 1.513561+0 8.985555-8 1.905461+0 6.001864-8 2.137962+0 4.941445-8 2.426610+0 4.021761-8 2.786121+0 3.238862-8 3.235937+0 2.582346-8 3.758374+0 2.074337-8 4.415704+0 1.651495-8 5.188000+0 1.324766-8 6.165950+0 1.054120-8 7.413102+0 8.327920-9 9.120108+0 6.440094-9 1.083927+1 5.230445-9 1.303167+1 4.211381-9 1.659587+1 3.191953-9 2.162719+1 2.374607-9 3.000000+1 1.662600-9 4.265795+1 1.142743-9 6.237348+1 7.68233-10 1.122018+2 4.19635-10 2.238721+2 2.08097-10 4.466836+2 1.03746-10 1.778279+3 2.59503-11 1.000000+5 4.60650-13 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 7.133000-5 7.133000-5 1.000000+5 7.133000-5 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 7.133000-5 0.0 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 6.806000-5 4.194272+5 6.840000-5 4.271520+5 6.870000-5 4.325528+5 6.920000-5 4.392704+5 7.000000-5 4.458848+5 7.079458-5 4.490044+5 7.190000-5 4.501464+5 7.350000-5 4.478384+5 7.585776-5 4.409480+5 8.317638-5 4.169054+5 8.650000-5 4.094088+5 8.912509-5 4.062912+5 9.150000-5 4.061992+5 9.350000-5 4.085048+5 9.549926-5 4.132904+5 9.720000-5 4.195112+5 9.900000-5 4.284192+5 1.010000-4 4.412904+5 1.030000-4 4.574352+5 1.050000-4 4.769648+5 1.071519-4 5.017857+5 1.096478-4 5.354780+5 1.122018-4 5.752284+5 1.150000-4 6.245368+5 1.202264-4 7.308968+5 1.288250-4 9.372161+5 1.350000-4 1.102208+6 1.400000-4 1.243056+6 1.462177-4 1.424976+6 1.520000-4 1.598880+6 1.580000-4 1.781488+6 1.640590-4 1.964932+6 1.698244-4 2.135271+6 1.760000-4 2.309448+6 1.820000-4 2.467144+6 1.880000-4 2.610864+6 1.930000-4 2.718784+6 2.000000-4 2.851264+6 2.065380-4 2.956205+6 2.150000-4 3.068072+6 2.238721-4 3.158600+6 2.330000-4 3.228112+6 2.426610-4 3.278285+6 2.511886-4 3.303780+6 2.620000-4 3.312840+6 2.730000-4 3.298728+6 2.851018-4 3.260178+6 2.951209-4 3.212844+6 3.090295-4 3.129355+6 3.235937-4 3.027872+6 3.427678-4 2.883469+6 3.600000-4 2.747712+6 3.801894-4 2.585020+6 4.027170-4 2.404391+6 4.216965-4 2.255414+6 4.466836-4 2.067200+6 4.731513-4 1.882778+6 5.011872-4 1.704622+6 5.308844-4 1.533383+6 5.650000-4 1.358208+6 6.025596-4 1.189107+6 6.531306-4 9.980835+5 6.998420-4 8.525216+5 7.500000-4 7.231104+5 8.035261-4 6.095328+5 8.709636-4 4.959575+5 9.500000-4 3.936328+5 1.023293-3 3.209004+5 1.122018-3 2.473133+5 1.230269-3 1.889921+5 1.364583-3 1.383435+5 1.496236-3 1.040280+5 1.621810-3 8.057942+4 1.757924-3 6.211911+4 1.927525-3 4.584766+4 2.138000-3 3.235670+4 2.344229-3 2.358273+4 2.600160-3 1.639556+4 2.884032-3 1.131360+4 3.235937-3 7.434399+3 3.589219-3 5.059815+3 4.000000-3 3.359704+3 4.466836-3 2.197579+3 5.011872-3 1.400989+3 5.623413-3 8.867515+2 6.309573-3 5.572893+2 7.161434-3 3.317025+2 8.128305-3 1.958755+2 9.225714-3 1.147683+2 1.035142-2 7.011262+1 1.174898-2 4.045189+1 1.333521-2 2.316134+1 1.513561-2 1.316802+1 1.737801-2 7.058988+0 2.018366-2 3.565725+0 2.371374-2 1.697013+0 2.851018-2 7.205152-1 3.162278-2 4.432414-1 3.890451-2 1.658902-1 7.498942-2 7.240317-3 9.120108-2 2.865291-3 1.071519-1 1.344645-3 1.244515-1 6.708570-4 1.428894-1 3.555918-4 1.659587-1 1.800419-4 1.840772-1 1.131408-4 2.018366-1 7.534106-5 2.162719-1 5.582454-5 2.371374-1 3.771232-5 2.600160-1 2.565585-5 2.884032-1 1.676436-5 3.162278-1 1.156420-5 3.467369-1 8.038535-6 3.801894-1 5.630817-6 4.120975-1 4.154610-6 4.415705-1 3.221857-6 4.677351-1 2.620491-6 5.011872-1 2.058501-6 5.370318-1 1.627532-6 5.754399-1 1.295399-6 6.237348-1 1.000745-6 6.760830-1 7.790053-7 7.413102-1 5.887852-7 8.035261-1 4.641115-7 8.709636-1 3.684587-7 9.549926-1 2.848252-7 9.885531-1 2.600111-7 1.023293+0 2.387258-7 1.059254+0 2.203300-7 1.109175+0 1.993833-7 1.161449+0 1.816779-7 1.230269+0 1.630144-7 1.318257+0 1.441877-7 1.513561+0 1.143847-7 1.905461+0 7.640098-8 2.137962+0 6.290252-8 2.426610+0 5.119564-8 2.786121+0 4.122963-8 3.235937+0 3.287251-8 3.758374+0 2.640581-8 4.415704+0 2.102298-8 5.188000+0 1.686389-8 6.165950+0 1.341895-8 7.413102+0 1.060110-8 9.120108+0 8.197801-9 1.083927+1 6.658055-9 1.303167+1 5.360830-9 1.659587+1 4.063205-9 2.162719+1 3.022798-9 3.000000+1 2.116500-9 4.265795+1 1.454615-9 6.309573+1 9.66339-10 1.122018+2 5.34170-10 2.238721+2 2.64906-10 4.466836+2 1.32062-10 1.778279+3 3.30334-11 1.000000+5 5.86380-13 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 6.806000-5 6.806000-5 1.000000+5 6.806000-5 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 6.806000-5 0.0 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 9.914000-5 6.752500+4 1.035142-4 6.355310+4 1.060000-4 6.184800+4 1.090000-4 6.031060+4 1.122018-4 5.925993+4 1.150000-4 5.872700+4 1.190000-4 5.842860+4 1.230269-4 5.853290+4 1.288250-4 5.913624+4 1.513561-4 6.258447+4 1.603245-4 6.345322+4 1.690000-4 6.382460+4 1.778279-4 6.373949+4 1.862087-4 6.329428+4 1.980000-4 6.222900+4 2.120000-4 6.055360+4 2.290868-4 5.822601+4 2.501000-4 5.524478+4 2.722701-4 5.210090+4 2.951209-4 4.889314+4 3.200000-4 4.550680+4 3.507519-4 4.161075+4 3.935501-4 3.687694+4 4.365158-4 3.285713+4 4.841724-4 2.906488+4 5.500000-4 2.478340+4 6.309573-4 2.073129+4 7.244360-4 1.718562+4 8.609938-4 1.348359+4 1.023293-3 1.048895+4 1.216186-3 8.105099+3 1.479108-3 6.003785+3 1.800000-3 4.406380+3 2.187762-3 3.214019+3 2.630268-3 2.367395+3 3.126079-3 1.765201+3 3.801894-3 1.255637+3 4.570882-3 9.044444+2 5.495409-3 6.467516+2 6.683439-3 4.493989+2 8.128305-3 3.098647+2 9.885531-3 2.120303+2 1.202264-2 1.439900+2 1.445440-2 9.932434+1 1.737801-2 6.801187+1 2.089296-2 4.621815+1 2.511886-2 3.116218+1 3.000000-2 2.115040+1 3.589219-2 1.419122+1 4.265795-2 9.591694+0 5.128614-2 6.272250+0 6.095369-2 4.175749+0 7.328245-2 2.684472+0 8.609938-2 1.811865+0 1.059254-1 1.084221+0 1.364583-1 5.738617-1 2.511886-1 1.214320-1 3.126079-1 7.001460-2 3.715352-1 4.563799-2 4.265795-1 3.261356-2 4.897788-1 2.346699-2 5.559043-1 1.747058-2 6.237348-1 1.344312-2 7.079458-1 1.015101-2 8.035261-1 7.723916-3 9.015711-1 6.063248-3 1.000000+0 4.910500-3 1.161449+0 3.655789-3 1.303167+0 2.931837-3 1.479108+0 2.317853-3 1.659587+0 1.886329-3 1.905461+0 1.484813-3 2.162719+0 1.199928-3 2.454709+0 9.772479-4 2.818383+0 7.875864-4 3.273407+0 6.283293-4 3.801894+0 5.050102-4 4.466836+0 4.022916-4 5.248075+0 3.228703-4 6.237348+0 2.570437-4 7.498942+0 2.031615-4 9.225714+0 1.571692-4 1.100000+1 1.272200-4 1.318257+1 1.028517-4 1.698244+1 7.697693-5 2.213095+1 5.730442-5 3.090295+1 3.986000-5 4.466836+1 2.694316-5 6.683439+1 1.770247-5 1.161449+2 1.002706-5 2.317395+2 4.974190-6 4.623810+2 2.480323-6 1.840772+3 6.204850-7 1.000000+5 1.140200-8 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 9.914000-5 9.914000-5 1.000000+5 9.914000-5 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 9.914000-5 0.0 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 6.568000-5 1.920860+6 6.606934-5 1.936156+6 6.650000-5 1.944714+6 6.710000-5 1.943852+6 6.770000-5 1.931802+6 6.870000-5 1.896780+6 6.970000-5 1.848878+6 7.119000-5 1.766987+6 7.300000-5 1.660868+6 7.500000-5 1.543122+6 7.762471-5 1.395661+6 8.035261-5 1.254557+6 8.400000-5 1.085924+6 8.810489-5 9.224804+5 9.300000-5 7.604560+5 9.885531-5 6.068162+5 1.161449-4 3.310093+5 1.244515-4 2.568129+5 1.333521-4 2.006417+5 1.412538-4 1.644243+5 1.496236-4 1.356981+5 1.580000-4 1.139892+5 1.659587-4 9.809280+4 1.737801-4 8.581604+4 1.819701-4 7.565114+4 1.900000-4 6.771860+4 1.980000-4 6.134260+4 2.065380-4 5.582188+4 2.150000-4 5.135980+4 2.238721-4 4.750734+4 2.350000-4 4.357980+4 2.454709-4 4.057817+4 2.580000-4 3.764600+4 2.730000-4 3.483380+4 2.900000-4 3.230800+4 3.100000-4 2.996660+4 3.350000-4 2.768240+4 3.715352-4 2.512115+4 5.248075-4 1.846951+4 6.095369-4 1.606063+4 6.918310-4 1.417286+4 8.000000-4 1.217454+4 9.120108-4 1.053373+4 1.047129-3 8.966777+3 1.190000-3 7.670180+3 1.364583-3 6.435849+3 1.531087-3 5.517954+3 1.737801-3 4.627349+3 1.972423-3 3.852000+3 2.238721-3 3.183003+3 2.540973-3 2.610258+3 2.884032-3 2.124499+3 3.273407-3 1.716314+3 3.715352-3 1.375787+3 4.216965-3 1.094676+3 4.786301-3 8.646148+2 5.432503-3 6.779811+2 6.165950-3 5.278568+2 7.000000-3 4.079061+2 8.000000-3 3.086128+2 9.120108-3 2.329178+2 1.035142-2 1.762253+2 1.188502-2 1.290165+2 1.364583-2 9.372411+1 1.548817-2 6.943186+1 1.778279-2 4.966405+1 2.018366-2 3.628242+1 2.317395-2 2.555955+1 2.722701-2 1.684658+1 3.388442-2 9.475407+0 3.935501-2 6.344985+0 4.466836-2 4.482637+0 5.188000-2 2.950592+0 6.237348-2 1.748510+0 7.673615-2 9.631787-1 1.000000-1 4.455368-1 1.717908-1 9.110474-2 2.162719-1 4.667132-2 2.570396-1 2.844464-2 3.019952-1 1.804756-2 3.467369-1 1.230430-2 3.935501-1 8.718762-3 4.466836-1 6.222501-3 5.011872-1 4.610557-3 5.623413-1 3.440402-3 6.237348-1 2.661035-3 6.918310-1 2.072084-3 7.673615-1 1.624325-3 8.709636-1 1.214309-3 9.440609-1 1.016251-3 1.011579+0 8.783557-4 1.109175+0 7.289874-4 1.216186+0 6.089993-4 1.333521+0 5.122315-4 1.513561+0 4.072282-4 1.737801+0 3.188743-4 2.000000+0 2.505100-4 2.264644+0 2.038379-4 2.570396+0 1.664625-4 2.951209+0 1.344887-4 3.427678+0 1.075295-4 4.000000+0 8.603800-5 4.677351+0 6.915345-5 5.559043+0 5.476849-5 6.606934+0 4.371237-5 8.035261+0 3.413566-5 1.000000+1 2.610700-5 1.258925+1 1.987547-5 1.621810+1 1.485403-5 2.137962+1 1.090467-5 2.917427+1 7.769014-6 4.073803+1 5.439491-6 5.888437+1 3.697537-6 1.083927+2 1.970933-6 2.162719+2 9.770403-7 4.315191+2 4.870113-7 1.717908+3 1.217994-7 1.000000+5 2.088600-9 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 6.568000-5 6.568000-5 1.000000+5 6.568000-5 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 6.568000-5 0.0 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 5.166000-5 4.882440+6 5.190000-5 4.856800+6 5.250000-5 4.764800+6 5.310000-5 4.650560+6 5.400000-5 4.456320+6 5.500000-5 4.228680+6 5.650000-5 3.889728+6 5.900000-5 3.371812+6 6.309573-5 2.675951+6 6.839116-5 2.011584+6 8.128305-5 1.080534+6 8.609938-5 8.825476+5 9.015711-5 7.542817+5 9.440609-5 6.483479+5 9.900000-5 5.585360+5 1.035142-4 4.891229+5 1.080000-4 4.340840+5 1.122018-4 3.921596+5 1.170000-4 3.530472+5 1.220000-4 3.199536+5 1.273503-4 2.911847+5 1.333521-4 2.651651+5 1.396368-4 2.433112+5 1.462177-4 2.248910+5 1.531087-4 2.092839+5 1.603245-4 1.959746+5 1.698244-4 1.819222+5 1.800000-4 1.699480+5 1.927525-4 1.579450+5 2.150000-4 1.418184+5 3.000000-4 1.036520+5 3.467369-4 8.981107+4 3.981072-4 7.772735+4 4.518559-4 6.758525+4 5.128614-4 5.832975+4 5.888437-4 4.930649+4 6.700000-4 4.184400+4 7.762471-4 3.440943+4 8.912509-4 2.843336+4 1.023293-3 2.332539+4 1.174898-3 1.901335+4 1.364583-3 1.511138+4 1.566751-3 1.213694+4 1.798871-3 9.678327+3 2.065380-3 7.658653+3 2.371374-3 6.014057+3 2.722701-3 4.685521+3 3.090295-3 3.700908+3 3.507519-3 2.903099+3 4.000000-3 2.240412+3 4.570882-3 1.709154+3 5.188000-3 1.312532+3 5.888437-3 1.000992+3 6.683439-3 7.583166+2 7.585776-3 5.704347+2 8.709636-3 4.148713+2 9.885531-3 3.076839+2 1.129000-2 2.232249+2 1.288250-2 1.610873+2 1.462177-2 1.169572+2 1.659587-2 8.432394+1 1.905461-2 5.856000+1 2.187762-2 4.034932+1 2.511886-2 2.758247+1 2.884032-2 1.871455+1 3.349654-2 1.219815+1 3.890451-2 7.889154+0 4.518559-2 5.063600+0 5.308844-2 3.117014+0 6.237348-2 1.904967+0 7.585776-2 1.038606+0 9.549926-2 5.044732-1 1.698244-1 8.147723-2 2.089296-1 4.254042-2 2.454709-1 2.582718-2 2.818383-1 1.695186-2 3.198895-1 1.160127-2 3.630781-1 7.999223-3 4.073803-1 5.747443-3 4.518559-1 4.297088-3 5.011872-1 3.234568-3 5.559043-1 2.452634-3 6.165950-1 1.873881-3 6.839117-1 1.443151-3 7.585776-1 1.120156-3 8.609938-1 8.278704-4 9.225714-1 7.061574-4 9.772372-1 6.219692-4 1.047129+0 5.381203-4 1.135011+0 4.574771-4 1.244515+0 3.828131-4 1.380384+0 3.161418-4 1.678804+0 2.230309-4 1.927525+0 1.755634-4 2.187762+0 1.420112-4 2.483133+0 1.157435-4 2.851018+0 9.332279-5 3.311311+0 7.448694-5 3.845918+0 5.990229-5 4.518559+0 4.774500-5 5.308844+0 3.833847-5 6.309573+0 3.053782-5 7.585776+0 2.414766-5 9.440609+0 1.842781-5 1.174898+1 1.418732-5 1.513561+1 1.057863-5 1.972423+1 7.849197-6 2.630268+1 5.721716-6 3.630781+1 4.045839-6 5.308844+1 2.711195-6 9.772372+1 1.442723-6 1.927525+2 7.226988-7 3.845918+2 3.599470-7 1.531087+3 8.997952-8 1.000000+5 1.374900-9 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 5.166000-5 5.166000-5 1.000000+5 5.166000-5 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 5.166000-5 0.0 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 7.990000-6 5.594760+6 8.035261-6 5.600761+6 8.128305-6 5.647516+6 8.222426-6 5.730863+6 8.511380-6 6.078025+6 9.332543-6 6.849060+6 1.011579-5 7.554351+6 1.100000-5 8.303076+6 1.202264-5 9.110637+6 1.318257-5 9.952444+6 1.462177-5 1.091513+7 1.640590-5 1.200636+7 1.840772-5 1.310018+7 2.000000-5 1.386500+7 2.150000-5 1.446876+7 2.290868-5 1.492287+7 2.426610-5 1.523505+7 2.540973-5 1.538833+7 2.660725-5 1.543280+7 2.770000-5 1.537034+7 2.884032-5 1.520321+7 3.000000-5 1.493017+7 3.090295-5 1.465025+7 3.198895-5 1.424490+7 3.311311-5 1.376014+7 3.427678-5 1.320482+7 3.548134-5 1.258867+7 3.672823-5 1.192258+7 3.801894-5 1.121980+7 3.950000-5 1.041779+7 4.120975-5 9.521282+6 4.300000-5 8.634204+6 4.500000-5 7.718688+6 4.731513-5 6.768118+6 5.011872-5 5.772731+6 5.308844-5 4.885255+6 5.650000-5 4.047336+6 6.025596-5 3.307570+6 6.400000-5 2.718562+6 6.800000-5 2.216959+6 7.161434-5 1.851231+6 7.585776-5 1.504646+6 8.000000-5 1.234282+6 8.413951-5 1.016035+6 8.912509-5 8.077557+5 9.332543-5 6.682755+5 9.900000-5 5.202288+5 1.047129-4 4.070850+5 1.109175-4 3.142940+5 1.174898-4 2.412181+5 1.273503-4 1.651538+5 1.450000-4 8.909028+4 1.520000-4 7.152120+4 1.584893-4 5.926186+4 1.640590-4 5.109241+4 1.690000-4 4.529160+4 1.737801-4 4.074082+4 1.780000-4 3.743964+4 1.820000-4 3.483061+4 1.862087-4 3.255261+4 1.905461-4 3.063193+4 1.950000-4 2.903882+4 1.995262-4 2.774842+4 2.041738-4 2.671183+4 2.089296-4 2.590458+4 2.137962-4 2.529795+4 2.187762-4 2.486377+4 2.250000-4 2.453375+4 2.317395-4 2.438775+4 2.398833-4 2.442444+4 2.490500-4 2.463013+4 2.600160-4 2.502563+4 2.754229-4 2.575785+4 3.000000-4 2.708932+4 3.273407-4 2.797428+4 3.507519-4 2.851274+4 3.715352-4 2.881032+4 3.935501-4 2.893874+4 4.073803-4 2.889091+4 4.315191-4 2.861232+4 4.570882-4 2.815773+4 4.841724-4 2.754216+4 5.128614-4 2.678313+4 5.495409-4 2.570929+4 5.888437-4 2.448925+4 6.309573-4 2.315801+4 6.760830-4 2.174768+4 7.244360-4 2.028823+4 7.852356-4 1.856234+4 8.511380-4 1.685203+4 9.225714-4 1.518822+4 1.000000-3 1.359432+4 1.083927-3 1.208831+4 1.174898-3 1.068031+4 1.273503-3 9.377282+3 1.396368-3 8.021316+3 1.531087-3 6.808583+3 1.678804-3 5.736309+3 1.840772-3 4.797007+3 2.018366-3 3.982250+3 2.213095-3 3.281996+3 2.426610-3 2.686011+3 2.660725-3 2.183318+3 2.917427-3 1.762971+3 3.235937-3 1.375368+3 3.589219-3 1.064533+3 3.981072-3 8.176709+2 4.365158-3 6.431229+2 4.841724-3 4.870446+2 5.432503-3 3.547411+2 6.025596-3 2.648102+2 6.683439-3 1.963633+2 7.498942-3 1.397717+2 8.317638-3 1.022308+2 9.332543-3 7.168600+1 1.047129-2 4.989704+1 1.188502-2 3.322582+1 1.333521-2 2.279630+1 1.500000-2 1.540508+1 1.698244-2 1.010958+1 1.927525-2 6.529433+0 2.187762-2 4.187712+0 2.511886-2 2.560541+0 2.917427-2 1.490822+0 3.388442-2 8.613862-1 4.027170-2 4.537272-1 4.841724-2 2.272008-1 6.025596-2 9.904574-2 1.148154-1 8.422239-3 1.428894-1 3.673847-3 1.717908-1 1.839560-3 2.000000-1 1.047100-3 2.290868-1 6.382717-4 2.600160-1 4.051809-4 2.951209-1 2.591755-4 3.311311-1 1.738328-4 3.715352-1 1.174675-4 4.120975-1 8.313632-5 4.570882-1 5.926565-5 5.069907-1 4.257093-5 5.559043-1 3.193585-5 6.025596-1 2.498190-5 6.606935-1 1.903015-5 7.244360-1 1.460809-5 8.709636-1 8.718064-6 9.225714-1 7.469356-6 9.660509-1 6.639828-6 1.011579+0 5.940643-6 1.059254+0 5.352994-6 1.109175+0 4.855557-6 1.174898+0 4.331563-6 1.258925+0 3.809342-6 1.364583+0 3.300766-6 1.531087+0 2.708640-6 1.862087+0 1.921292-6 2.089296+0 1.579599-6 2.371374+0 1.283702-6 2.691535+0 1.051076-6 3.126079+0 8.366382-7 3.630781+0 6.708797-7 4.216965+0 5.418961-7 4.954502+0 4.337963-7 5.888437+0 3.444598-7 7.000000+0 2.755100-7 8.609938+0 2.126572-7 1.035142+1 1.699880-7 1.273503+1 1.330823-7 1.640590+1 9.949292-8 2.162719+1 7.306234-8 3.000000+1 5.115600-8 4.265795+1 3.515887-8 6.237348+1 2.363634-8 1.122018+2 1.291135-8 2.238721+2 6.402817-9 4.466836+2 3.192073-9 1.778279+3 7.98436-10 1.000000+5 1.41730-11 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 7.990000-6 7.990000-6 1.000000+5 7.990000-6 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 7.990000-6 0.0 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 6.790000-6 1.043188+7 7.161434-6 1.124387+7 7.600000-6 1.213061+7 8.035261-6 1.293773+7 8.511380-6 1.374031+7 9.120108-6 1.466581+7 9.772372-6 1.554322+7 1.059254-5 1.651425+7 1.161449-5 1.756922+7 1.288250-5 1.870016+7 1.462177-5 2.002640+7 1.659587-5 2.129289+7 1.850000-5 2.229898+7 2.018366-5 2.297499+7 2.162719-5 2.336283+7 2.300000-5 2.355221+7 2.426610-5 2.354944+7 2.540973-5 2.338837+7 2.660725-5 2.306361+7 2.770000-5 2.263594+7 2.884032-5 2.206228+7 3.000000-5 2.135743+7 3.120000-5 2.052281+7 3.235937-5 1.964125+7 3.350000-5 1.872326+7 3.467369-5 1.774482+7 3.589219-5 1.671317+7 3.730000-5 1.552921+7 3.890451-5 1.422182+7 4.027170-5 1.315932+7 4.216965-5 1.177879+7 4.415704-5 1.046598+7 4.650000-5 9.098568+6 4.900000-5 7.838694+6 5.188000-5 6.614935+6 5.500000-5 5.524740+6 5.821032-5 4.608561+6 6.165950-5 3.811556+6 6.531306-5 3.132740+6 6.918310-5 2.556996+6 7.328245-5 2.072931+6 7.762471-5 1.666803+6 8.222426-5 1.329981+6 8.650000-5 1.082279+6 9.120108-5 8.669027+5 9.549926-5 7.106600+5 1.011579-4 5.502865+5 1.071519-4 4.231829+5 1.150000-4 3.038958+5 1.380384-4 1.268638+5 1.445440-4 1.024108+5 1.500000-4 8.673048+4 1.548817-4 7.562124+4 1.584893-4 6.887089+4 1.621810-4 6.303064+4 1.659587-4 5.800204+4 1.698244-4 5.370895+4 1.737801-4 5.008330+4 1.778279-4 4.705073+4 1.820000-4 4.452025+4 1.862087-4 4.248226+4 1.905461-4 4.084343+4 1.950000-4 3.956656+4 1.995262-4 3.860779+4 2.041738-4 3.791183+4 2.098700-4 3.733008+4 2.162719-4 3.694846+4 2.238721-4 3.679517+4 2.317395-4 3.690663+4 2.398833-4 3.724617+4 2.511886-4 3.799620+4 2.660725-4 3.930406+4 3.000000-4 4.267134+4 3.273407-4 4.356365+4 3.507519-4 4.401332+4 3.758374-4 4.415188+4 4.000000-4 4.394984+4 4.265795-4 4.319780+4 4.518559-4 4.225617+4 4.786301-4 4.109191+4 5.128614-4 3.945079+4 5.495409-4 3.759534+4 5.888437-4 3.556709+4 6.309573-4 3.341496+4 6.760830-4 3.118570+4 7.244360-4 2.892205+4 7.852356-4 2.629013+4 8.511380-4 2.372077+4 9.225714-4 2.125262+4 1.000000-3 1.891409+4 1.083927-3 1.672809+4 1.174898-3 1.470349+4 1.288250-3 1.259385+4 1.412538-3 1.070318+4 1.566751-3 8.837392+3 1.717908-3 7.402184+3 1.883649-3 6.152960+3 2.065380-3 5.074141+3 2.264644-3 4.152091+3 2.483133-3 3.371183+3 2.691535-3 2.789238+3 2.985383-3 2.168296+3 3.427678-3 1.535430+3 3.801894-3 1.177254+3 4.168694-3 9.237747+2 4.623810-3 6.979916+2 5.128614-3 5.235823+2 5.688529-3 3.900020+2 6.309573-3 2.885082+2 6.998420-3 2.119950+2 7.762471-3 1.547466+2 8.609938-3 1.122177+2 9.660509-3 7.794130+1 1.083927-2 5.373019+1 1.216186-2 3.677903+1 1.364583-2 2.500055+1 1.531087-2 1.687535+1 1.737801-2 1.086366+1 1.972423-2 6.939531+0 2.238721-2 4.400787+0 2.570396-2 2.657059+0 2.951209-2 1.592383+0 3.427678-2 9.072216-1 4.027170-2 4.911091-1 4.841724-2 2.415264-1 5.888437-2 1.126416-1 1.161449-1 7.817312-3 1.396368-1 3.817634-3 1.659587-1 1.964275-3 1.883649-1 1.214609-3 2.113489-1 7.899211-4 2.371374-1 5.176111-4 2.630268-1 3.562253-4 2.917427-1 2.468684-4 3.235937-1 1.723369-4 3.548134-1 1.260560-4 3.890451-1 9.284078-5 4.265795-1 6.889082-5 4.677351-1 5.151463-5 5.128614-1 3.882654-5 5.559043-1 3.052016-5 6.025596-1 2.415059-5 6.531306-1 1.925601-5 7.079458-1 1.545837-5 7.673615-1 1.249117-5 8.609938-1 9.265188-6 9.120108-1 8.025330-6 9.660509-1 6.998853-6 1.011579+0 6.309983-6 1.071519+0 5.580333-6 1.148154+0 4.851760-6 1.230269+0 4.247741-6 1.333521+0 3.663083-6 1.798871+0 2.161716-6 2.044000+0 1.737500-6 2.317395+0 1.412796-6 2.630268+0 1.155242-6 3.019952+0 9.344705-7 3.507519+0 7.479980-7 4.073803+0 6.032088-7 4.786301+0 4.821018-7 5.688529+0 3.822148-7 6.760830+0 3.053638-7 8.222427+0 2.386776-7 1.011579+1 1.852644-7 1.273503+1 1.411025-7 1.640590+1 1.054902-7 2.162719+1 7.746555-8 3.000000+1 5.423900-8 4.265795+1 3.727767-8 6.237348+1 2.506096-8 1.122018+2 1.368934-8 2.238721+2 6.788708-9 4.466836+2 3.384479-9 1.778279+3 8.46541-10 1.000000+5 1.50270-11 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 6.790000-6 6.790000-6 1.000000+5 6.790000-6 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 6.790000-6 0.0 1.000000+5 1.000000+5 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 5.099860-7 1.026100+0 1.153120-6 1.026600+0 1.625640-6 1.027100+0 2.211710-6 1.027500+0 2.770150-6 1.028100+0 3.771510-6 1.028750+0 5.099860-6 1.029500+0 6.979290-6 1.030100+0 8.777310-6 1.031000+0 1.201030-5 1.032000+0 1.643320-5 1.033200+0 2.302010-5 1.034000+0 2.825930-5 1.035300+0 3.835800-5 1.036640+0 5.099860-5 1.038200+0 6.882420-5 1.039700+0 8.941650-5 1.041500+0 1.189680-4 1.043800+0 1.651310-4 1.046400+0 2.297490-4 1.048300+0 2.860430-4 1.051200+0 3.880120-4 1.054080+0 5.099860-4 1.057700+0 6.951450-4 1.061100+0 9.042100-4 1.065100+0 1.197080-3 1.070400+0 1.670050-3 1.076200+0 2.308010-3 1.080600+0 2.882330-3 1.087100+0 3.883440-3 1.093710+0 5.099860-3 1.102600+0 7.070690-3 1.110700+0 9.221250-3 1.120600+0 1.233470-2 1.133300+0 1.714960-2 1.147500+0 2.367760-2 1.158200+0 2.942520-2 1.174100+0 3.932970-2 1.190110+0 5.099860-2 1.205100+0 6.349440-2 1.227500+0 8.499460-2 1.250000+0 1.098000-1 1.265600+0 1.286970-1 1.294900+0 1.675320-1 1.331800+0 2.218030-1 1.362600+0 2.708070-1 1.397000+0 3.287320-1 1.433800+0 3.937000-1 1.477900+0 4.749890-1 1.500000+0 5.171000-1 1.562500+0 6.405480-1 1.617200+0 7.531930-1 1.712900+0 9.572560-1 1.784700+0 1.114090+0 1.892300+0 1.351150+0 2.000000+0 1.587000+0 2.044000+0 1.682000+0 2.163500+0 1.936580+0 2.372600+0 2.369090+0 2.686300+0 2.984210+0 3.000000+0 3.561000+0 3.500000+0 4.410140+0 4.000000+0 5.184000+0 4.750000+0 6.222560+0 5.000000+0 6.542000+0 6.000000+0 7.711000+0 7.000000+0 8.741000+0 8.000000+0 9.668000+0 9.000000+0 1.051000+1 1.000000+1 1.129000+1 1.100000+1 1.200000+1 1.200000+1 1.267000+1 1.300000+1 1.329000+1 1.400000+1 1.387000+1 1.500000+1 1.442000+1 1.600000+1 1.492000+1 1.800000+1 1.584000+1 2.000000+1 1.665000+1 2.200000+1 1.739000+1 2.400000+1 1.806000+1 2.600000+1 1.868000+1 2.800000+1 1.924000+1 3.000000+1 1.976000+1 4.000000+1 2.188000+1 5.000000+1 2.346000+1 6.000000+1 2.468000+1 8.000000+1 2.647000+1 1.000000+2 2.774000+1 1.500000+2 2.974000+1 2.000000+2 3.092000+1 3.000000+2 3.230000+1 4.000000+2 3.308000+1 5.000000+2 3.359000+1 6.000000+2 3.396000+1 8.000000+2 3.445000+1 1.000000+3 3.477000+1 1.500000+3 3.522000+1 2.000000+3 3.547000+1 3.000000+3 3.574000+1 4.000000+3 3.588000+1 5.000000+3 3.597000+1 6.000000+3 3.604000+1 8.000000+3 3.612000+1 1.000000+4 3.617000+1 1.500000+4 3.624000+1 2.000000+4 3.628000+1 3.000000+4 3.632000+1 4.000000+4 3.634000+1 5.000000+4 3.636000+1 6.000000+4 3.637000+1 8.000000+4 3.638000+1 1.000000+5 3.638000+1 1 77000 7 8 1.922000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 7.710300-7 2.090400+0 1.046870-6 2.094700+0 1.357420-6 2.099900+0 1.805860-6 2.106600+0 2.512100-6 2.114000+0 3.475810-6 2.119500+0 4.327360-6 2.127900+0 5.868720-6 2.136250+0 7.710300-6 2.147000+0 1.057140-5 2.156900+0 1.373090-5 2.169000+0 1.832480-5 2.184500+0 2.547210-5 2.201800+0 3.524130-5 2.214800+0 4.390800-5 2.234200+0 5.906400-5 2.253680+0 7.710300-5 2.281500+0 1.079960-4 2.307000+0 1.418530-4 2.338200+0 1.907330-4 2.377400+0 2.641420-4 2.410200+0 3.359450-4 2.446800+0 4.273410-4 2.485900+0 5.380450-4 2.532900+0 6.885840-4 2.556430+0 7.710300-4 2.611900+0 9.831530-4 2.660400+0 1.188580-3 2.745300+0 1.590850-3 2.809000+0 1.926620-3 2.904500+0 2.481980-3 3.000000+0 3.098000-3 3.125000+0 3.994600-3 3.234400+0 4.860270-3 3.425800+0 6.544190-3 3.569300+0 7.934560-3 3.784700+0 1.019790-2 4.000000+0 1.263000-2 4.250000+0 1.560210-2 4.625000+0 2.027020-2 5.000000+0 2.512000-2 5.500000+0 3.177270-2 6.000000+0 3.851000-2 6.750000+0 4.852670-2 7.000000+0 5.182000-2 8.000000+0 6.469000-2 9.000000+0 7.698000-2 1.000000+1 8.863000-2 1.100000+1 9.964000-2 1.200000+1 1.100000-1 1.300000+1 1.198000-1 1.400000+1 1.290000-1 1.500000+1 1.378000-1 1.600000+1 1.461000-1 1.800000+1 1.614000-1 2.000000+1 1.753000-1 2.200000+1 1.880000-1 2.400000+1 1.997000-1 2.600000+1 2.104000-1 2.800000+1 2.203000-1 3.000000+1 2.295000-1 4.000000+1 2.674000-1 5.000000+1 2.958000-1 6.000000+1 3.182000-1 8.000000+1 3.516000-1 1.000000+2 3.757000-1 1.500000+2 4.151000-1 2.000000+2 4.395000-1 3.000000+2 4.690000-1 4.000000+2 4.865000-1 5.000000+2 4.984000-1 6.000000+2 5.071000-1 8.000000+2 5.190000-1 1.000000+3 5.269000-1 1.500000+3 5.386000-1 2.000000+3 5.452000-1 3.000000+3 5.524000-1 4.000000+3 5.566000-1 5.000000+3 5.592000-1 6.000000+3 5.610000-1 8.000000+3 5.634000-1 1.000000+4 5.649000-1 1.500000+4 5.669000-1 2.000000+4 5.682000-1 3.000000+4 5.693000-1 4.000000+4 5.700000-1 5.000000+4 5.705000-1 6.000000+4 5.707000-1 8.000000+4 5.710000-1 1.000000+5 5.713000-1 1 77000 7 8 1.922000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 77000 7 9 1.922000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 7.700000+1 1.000000+5 7.700000+1 5.000000+5 7.696900+1 7.500000+5 7.694620+1 1.000000+6 7.693000+1 1.500000+6 7.688000+1 2.000000+6 7.678800+1 2.500000+6 7.667100+1 3.000000+6 7.652900+1 3.500000+6 7.636240+1 4.000000+6 7.617700+1 4.500000+6 7.597560+1 5.000000+6 7.575300+1 5.500000+6 7.550730+1 6.156200+6 7.514820+1 6.500000+6 7.495590+1 6.718700+6 7.482410+1 7.000000+6 7.466100+1 7.500000+6 7.434600+1 8.250000+6 7.386830+1 9.000000+6 7.337300+1 1.000000+7 7.268600+1 1.109400+7 7.189460+1 1.187500+7 7.130700+1 1.250000+7 7.083200+1 1.437500+7 6.937630+1 1.500000+7 6.889300+1 1.750000+7 6.696100+1 2.000000+7 6.500600+1 2.375000+7 6.211280+1 2.500000+7 6.117000+1 2.875000+7 5.839870+1 3.000000+7 5.750500+1 3.437500+7 5.446560+1 3.750000+7 5.242490+1 4.000000+7 5.087300+1 4.500000+7 4.798180+1 4.750000+7 4.662890+1 5.000000+7 4.534200+1 5.500000+7 4.291180+1 5.750000+7 4.176810+1 6.000000+7 4.066300+1 6.750000+7 3.754880+1 7.000000+7 3.657700+1 7.750000+7 3.381380+1 8.000000+7 3.294800+1 8.750000+7 3.048290+1 9.000000+7 2.971000+1 9.750000+7 2.752110+1 1.000000+8 2.683600+1 1.125000+8 2.373740+1 1.250000+8 2.121900+1 1.375000+8 1.923020+1 1.500000+8 1.768700+1 1.750000+8 1.550040+1 2.000000+8 1.381200+1 2.125000+8 1.303070+1 2.250000+8 1.231110+1 2.500000+8 1.108700+1 2.671900+8 1.038980+1 2.789100+8 9.914020+0 2.875000+8 9.543580+0 2.894500+8 9.456150+0 2.973600+8 9.086520+0 3.000000+8 8.957800+0 3.062500+8 8.643730+0 3.335900+8 7.366590+0 3.418000+8 7.070210+0 3.500000+8 6.828200+0 3.562500+8 6.681910+0 3.671900+8 6.481150+0 3.959000+8 6.073460+0 4.000000+8 6.011700+0 4.125000+8 5.800360+0 5.000000+8 4.378800+0 6.000000+8 3.598100+0 7.000000+8 2.903000+0 7.625000+8 2.624980+0 7.875000+8 2.514490+0 8.000000+8 2.455100+0 8.125000+8 2.392100+0 8.359400+8 2.268370+0 8.564500+8 2.158700+0 9.461700+8 1.737080+0 9.730800+8 1.640480+0 1.000000+9 1.559400+0 1.030800+9 1.485160+0 1.060100+9 1.429290+0 1.087600+9 1.386920+0 1.125800+9 1.340520+0 1.172600+9 1.298120+0 1.375000+9 1.194820+0 1.500000+9 1.137000+0 1.562500+9 1.101120+0 1.641100+9 1.051090+0 1.706900+9 1.007030+0 1.780200+9 9.573940-1 1.858700+9 9.050010-1 1.952900+9 8.445760-1 2.000000+9 8.157900-1 2.139200+9 7.365770-1 2.272600+9 6.685790-1 2.443000+9 5.918090-1 2.602800+9 5.290280-1 2.750000+9 4.780030-1 2.825100+9 4.542280-1 2.961100+9 4.146850-1 3.215900+9 3.511950-1 3.438900+9 3.050660-1 3.719500+9 2.570820-1 3.954200+9 2.239140-1 4.215700+9 1.929310-1 4.495800+9 1.653940-1 4.831900+9 1.384800-1 5.000000+9 1.270700-1 5.375000+9 1.055280-1 5.703100+9 9.032420-2 6.277300+9 6.981830-2 7.031000+9 5.113660-2 8.000000+9 3.563900-2 1.00000+10 1.895700-2 1.54060+10 5.583630-3 2.13670+10 2.222160-3 3.11960+10 7.686270-4 4.83970+10 2.256410-4 7.41980+10 6.896350-5 1.00000+11 3.026800-5 1.34280+11 1.347160-5 2.20600+11 3.473210-6 4.19930+11 6.071390-7 1.03480+12 5.391780-8 3.24440+12 2.582950-9 1.00000+14 3.10090-13 3.16230+15 3.32204-17 1.00000+17 3.37410-21 1 77000 7 0 1.922000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 7.60000-12 1.000000+2 7.60000-10 1.000000+3 7.600000-8 1.000000+4 7.600000-6 1.000000+5 7.600000-4 5.000000+5 1.900000-2 7.500000+5 4.275000-2 1.000000+6 7.600000-2 1.500000+6 1.688000-1 2.000000+6 2.966000-1 2.500000+6 4.566000-1 3.000000+6 6.457000-1 3.500000+6 8.605980-1 4.000000+6 1.097700+0 4.500000+6 1.353380+0 5.000000+6 1.624000+0 5.500000+6 1.905900+0 6.156200+6 2.288220+0 6.500000+6 2.492030+0 6.718700+6 2.622470+0 7.000000+6 2.790900+0 7.500000+6 3.090220+0 8.250000+6 3.537880+0 9.000000+6 3.980400+0 1.000000+7 4.558000+0 1.109400+7 5.171890+0 1.187500+7 5.600110+0 1.250000+7 5.938100+0 1.437500+7 6.931350+0 1.500000+7 7.258000+0 1.750000+7 8.554200+0 2.000000+7 9.841000+0 2.375000+7 1.174290+1 2.500000+7 1.236700+1 2.875000+7 1.420160+1 3.000000+7 1.480300+1 3.437500+7 1.686420+1 3.750000+7 1.830030+1 4.000000+7 1.942700+1 4.500000+7 2.161570+1 4.750000+7 2.266990+1 5.000000+7 2.369400+1 5.500000+7 2.563440+1 5.750000+7 2.654790+1 6.000000+7 2.742900+1 6.750000+7 2.985480+1 7.000000+7 3.060200+1 7.750000+7 3.269170+1 8.000000+7 3.334900+1 8.750000+7 3.521650+1 9.000000+7 3.581700+1 9.750000+7 3.754210+1 1.000000+8 3.810000+1 1.125000+8 4.075090+1 1.250000+8 4.321700+1 1.375000+8 4.550910+1 1.500000+8 4.765100+1 1.750000+8 5.146770+1 2.000000+8 5.467800+1 2.125000+8 5.606080+1 2.250000+8 5.732070+1 2.500000+8 5.949600+1 2.671900+8 6.076930+1 2.789100+8 6.154700+1 2.875000+8 6.208520+1 2.894500+8 6.220050+1 2.973600+8 6.265970+1 3.000000+8 6.281100+1 3.062500+8 6.314880+1 3.335900+8 6.450230+1 3.418000+8 6.487130+1 3.500000+8 6.522300+1 3.562500+8 6.547490+1 3.671900+8 6.590760+1 3.959000+8 6.694320+1 4.000000+8 6.708100+1 4.125000+8 6.747930+1 5.000000+8 6.982400+1 6.000000+8 7.174900+1 7.000000+8 7.308800+1 7.625000+8 7.369320+1 7.875000+8 7.390120+1 8.000000+8 7.399700+1 8.125000+8 7.408290+1 8.359400+8 7.424090+1 8.564500+8 7.436990+1 9.461700+8 7.482530+1 9.730800+8 7.494010+1 1.000000+9 7.505200+1 1.030800+9 7.516110+1 1.060100+9 7.526210+1 1.087600+9 7.534400+1 1.125800+9 7.545320+1 1.172600+9 7.558190+1 1.375000+9 7.598700+1 1.500000+9 7.618100+1 1.562500+9 7.625770+1 1.641100+9 7.634990+1 1.706900+9 7.642390+1 1.780200+9 7.648930+1 1.858700+9 7.655360+1 1.952900+9 7.662740+1 2.000000+9 7.666300+1 2.139200+9 7.673940+1 2.272600+9 7.679580+1 2.443000+9 7.685470+1 2.602800+9 7.689900+1 2.750000+9 7.692740+1 2.825100+9 7.694130+1 2.961100+9 7.695580+1 3.215900+9 7.697790+1 3.438900+9 7.699200+1 3.719500+9 7.699410+1 3.954200+9 7.699580+1 4.215700+9 7.699750+1 4.495800+9 7.699930+1 4.831900+9 7.699820+1 5.000000+9 7.699700+1 5.375000+9 7.699750+1 5.703100+9 7.699780+1 6.277300+9 7.699850+1 7.031000+9 7.699920+1 8.000000+9 7.700000+1 1.00000+10 7.700000+1 1.54060+10 7.700000+1 2.13670+10 7.700000+1 3.11960+10 7.700000+1 4.83970+10 7.700000+1 7.41980+10 7.700000+1 1.00000+11 7.700000+1 1.34280+11 7.700000+1 2.20600+11 7.700000+1 4.19930+11 7.700000+1 1.03480+12 7.700000+1 3.24440+12 7.700000+1 1.00000+14 7.700000+1 3.16230+15 7.700000+1 1.00000+17 7.700000+1 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.376167-6 0.0 1.379555-6 2.683273-7 1.382942-6 5.309457-7 1.386329-6 9.698157-7 1.389716-6 1.635243-6 1.393104-6 2.545242-6 1.396491-6 3.657040-6 1.399878-6 4.850475-6 1.403265-6 5.938719-6 1.406653-6 6.712050-6 1.410040-6 7.002796-6 1.413427-6 6.744375-6 1.416815-6 5.996059-6 1.420202-6 4.920895-6 1.426976-6 2.607128-6 1.430364-6 1.683071-6 1.433751-6 1.002990-6 1.437138-6 5.517529-7 1.440525-6 2.801863-7 1.443913-6 0.0 4.333782-6 0.0 4.645819-6 0.0 4.662972-6 1.191656+0 4.668689-6 1.583836+0 4.680124-6 2.893005+0 4.691559-6 4.878004+0 4.704424-6 8.006266+0 4.724257-6 1.396752+1 4.738015-6 1.785933+1 4.749785-6 2.010181+1 4.761779-6 2.078145+1 4.773214-6 1.980538+1 4.785388-6 1.722926+1 4.804679-6 1.150475+1 4.817345-6 7.777183+0 4.829495-6 4.894166+0 4.840216-6 2.991965+0 4.851651-6 1.645905+0 4.868089-6 4.706260-1 4.874521-6 0.0 5.160920-6 0.0 5.183151-6 2.750824+0 5.186326-6 3.139789+0 5.199029-6 5.735082+0 5.211732-6 9.670136+0 5.226023-6 1.587159+1 5.248278-6 2.781344+1 5.263338-6 3.540427+1 5.277303-6 3.997001+1 5.289437-6 4.123316+1 5.301819-6 3.947807+1 5.315638-6 3.431797+1 5.335636-6 2.378499+1 5.351465-6 1.541746+1 5.364168-6 9.952973+0 5.376871-6 5.931260+0 5.389574-6 3.262835+0 5.408628-6 8.294258-1 5.414980-6 0.0 6.158516-6 0.0 6.183624-6 1.85468-14 6.188833-6 2.23445-14 6.203991-6 4.08141-14 6.219150-6 6.88182-14 6.234308-6 1.07115-13 6.249466-6 1.53904-13 6.267318-6 2.12266-13 6.279783-6 2.49927-13 6.294942-6 2.82472-13 6.310100-6 2.94708-13 6.325258-6 2.83833-13 6.340417-6 2.52340-13 6.355575-6 2.07093-13 6.385892-6 1.09719-13 6.401050-6 7.08310-14 6.416209-6 4.22102-14 6.431367-6 2.32202-14 6.446526-6 1.17915-14 6.461684-6 0.0 6.518400-6 0.0 6.518665-6 4.579464-7 6.521041-6 5.764515-7 6.523395-6 7.221667-7 6.525729-6 9.006265-7 6.528810-6 1.200909-6 6.531854-6 1.589658-6 6.534365-6 1.997632-6 6.537346-6 2.611548-6 6.540293-6 3.391972-6 6.543205-6 4.377965-6 6.546083-6 5.616208-6 6.548927-6 7.162145-6 6.551738-6 9.081236-6 6.554517-6 1.145031-5 6.557263-6 1.435905-5 6.559977-6 1.791151-5 6.563547-6 2.385959-5 6.567061-6 3.150236-5 6.570521-6 4.123846-5 6.573504-6 5.184265-5 6.577280-6 6.895249-5 6.580990-6 9.081483-5 6.584636-6 1.184853-4 6.588217-6 1.531878-4 6.591737-6 1.963271-4 6.595195-6 2.495008-4 6.598592-6 3.145087-4 6.601931-6 3.933609-4 6.605932-6 5.117995-4 6.610204-6 6.738788-4 6.614377-6 8.764926-4 6.618454-6 1.126818-3 6.622435-6 1.432648-3 6.626324-6 1.802333-3 6.631370-6 2.409892-3 6.636260-6 3.168642-3 6.641581-6 4.231202-3 6.646718-6 5.546386-3 6.651677-6 7.146135-3 6.656465-6 9.060772-3 6.661089-6 1.131914-2 6.667015-6 1.491144-2 6.672668-6 1.920499-2 6.679804-6 2.607280-2 6.686506-6 3.427162-2 6.693559-6 4.505888-2 6.702233-6 6.186459-2 6.710146-6 8.110225-2 6.718482-6 1.058787-1 6.727933-6 1.400536-1 6.738698-6 1.872260-1 6.752731-6 2.616888-1 6.775535-6 4.085721-1 6.822487-6 7.339963-1 6.852633-6 8.921656-1 6.879340-6 9.810458-1 6.925657-6 1.051180+0 6.975902-6 1.169760+0 7.005748-6 1.310823+0 7.048930-6 1.619801+0 7.053069-6 1.703263+0 7.086699-6 2.855967+0 7.104057-6 3.712193+0 7.122502-6 5.033695+0 7.140339-6 6.732248+0 7.188376-6 1.221204+1 7.210360-6 1.383847+1 7.228740-6 1.411439+1 7.244807-6 1.350366+1 7.263031-6 1.189293+1 7.312810-6 5.909635+0 7.330210-6 4.234638+0 7.347063-6 3.037992+0 7.365010-6 2.207870+0 7.395930-6 1.308992+0 7.399136-6 1.240283+0 7.681747-6 1.364362+0 7.696449-6 1.394145+0 7.727917-6 1.504873+0 7.751393-6 1.638585+0 7.785151-6 1.923134+0 7.844282-6 2.507254+0 7.866411-6 2.617311+0 7.885185-6 2.630333+0 7.914751-6 2.532734+0 7.952147-6 2.765848+0 7.973653-6 3.138315+0 7.993794-6 3.771593+0 8.015100-6 4.779213+0 8.070312-6 7.999442+0 8.091444-6 8.857032+0 8.109638-6 9.180310+0 8.130839-6 8.935877+0 8.156104-6 7.949459+0 8.208084-6 5.128856+0 8.224672-6 4.348879+0 8.244588-6 3.650169+0 8.264635-6 3.186747+0 8.303934-6 2.660052+0 8.438095-6 2.777294+0 8.494967-6 2.933175+0 8.568863-6 3.421956+0 8.614984-6 3.706454+0 8.644334-6 3.719582+0 8.683151-6 3.520760+0 8.761742-6 2.874197+0 8.801877-6 2.701924+0 8.858966-6 2.628368+0 8.943990-6 2.682797+0 9.005998-6 2.933505+0 9.050007-6 3.324754+0 9.127023-6 4.246255+0 9.160030-6 4.423418+0 9.189599-6 4.322523+0 9.241922-6 3.798062+0 9.292058-6 3.274672+0 9.336067-6 3.040244+0 9.385396-6 2.943505+0 9.599009-6 3.098547+0 9.674616-6 3.285007+0 9.796952-6 3.849199+0 9.849152-6 3.844865+0 9.957584-6 3.522048+0 1.001400-5 3.547696+0 1.014261-5 3.810633+0 1.024643-5 3.899764+0 1.032262-5 4.214491+0 1.042897-5 4.865230+0 1.048477-5 4.895179+0 1.067618-5 4.027358+0 1.074816-5 3.887551+0 1.090645-5 3.911907+0 1.104295-5 4.128276+0 1.118162-5 4.485004+0 1.139326-5 4.375858+0 1.162481-5 4.614270+0 1.201427-5 4.800328+0 1.234654-5 4.873821+0 1.790727-5 8.912286+0 2.363305-5 1.305278+1 2.693166-5 1.476289+1 3.018540-5 1.557658+1 3.333385-5 1.548419+1 3.773520-5 1.431527+1 4.378391-5 1.187672+1 4.410722-5 1.225479+1 4.443053-5 1.354384+1 4.475383-5 1.502764+1 4.496937-5 1.495581+1 4.516699-5 1.408119+1 4.538930-5 1.534897+1 4.550046-5 1.697098+1 4.561211-5 1.984503+1 4.575363-5 2.542378+1 4.605624-5 3.977451+1 4.617223-5 4.336838+1 4.627963-5 4.448799+1 4.640558-5 4.254458+1 4.651388-5 3.870770+1 4.682738-5 2.319204+1 4.693853-5 1.869877+1 4.704969-5 1.538043+1 4.717474-5 1.299612+1 4.739158-5 1.041959+1 5.070108-5 9.236544+0 5.114859-5 9.461977+0 5.152099-5 1.025146+1 5.209222-5 1.170899+1 5.251816-5 1.204773+1 5.373359-5 1.185956+1 5.455489-5 1.223806+1 5.533583-5 1.174367+1 5.638601-5 1.134010+1 5.777582-5 1.004878+1 5.806378-5 1.140383+1 5.823054-5 1.287496+1 5.837021-5 1.474116+1 5.850464-5 1.712712+1 5.891793-5 2.599733+1 5.906335-5 2.804963+1 5.922185-5 2.863038+1 5.935316-5 2.780279+1 5.950546-5 2.537452+1 5.990894-5 1.640513+1 6.005115-5 1.381123+1 6.019335-5 1.188885+1 6.033556-5 1.059659+1 6.061998-5 8.979762+0 6.167124-5 8.627319+0 6.212663-5 8.944292+0 6.243022-5 9.601306+0 6.288561-5 1.108748+1 6.318920-5 1.150473+1 6.343751-5 1.107625+1 6.403356-5 9.270146+0 6.426109-5 9.071385+0 6.470716-5 9.654602+0 6.510530-5 1.033576+1 6.543426-5 1.019157+1 6.606101-5 9.370065+0 6.737700-5 8.930921+0 6.898799-5 9.154910+0 7.098589-5 8.744146+0 7.791600-5 7.122988+0 8.473885-5 5.899512+0 9.158918-5 4.970262+0 9.770822-5 4.374052+0 9.940705-5 4.320138+0 1.010400-4 4.345521+0 1.045732-4 4.075755+0 1.090000-4 3.911860+0 1.162921-4 3.919120+0 1.242928-4 4.219206+0 1.336491-4 4.893692+0 1.458571-4 6.199277+0 1.612501-4 8.377584+0 2.075941-4 1.606479+1 2.343543-4 1.967784+1 2.628276-4 2.260167+1 2.927421-4 2.485668+1 2.979465-4 2.599780+1 3.080014-4 2.625199+1 3.146088-4 2.721136+1 4.193019-4 2.784913+1 4.745134-4 2.763088+1 4.912957-4 2.876440+1 6.168704-4 2.670691+1 6.702704-4 2.564961+1 6.822072-4 2.583624+1 9.158175-4 2.084005+1 1.132281-3 1.722229+1 1.371185-3 1.421876+1 1.684326-3 1.137309+1 1.989962-3 9.390866+0 2.008589-3 9.541229+0 2.017282-3 1.007537+1 2.024557-3 1.106009+1 2.032018-3 1.274316+1 2.045726-3 1.725187+1 2.057459-3 2.102173+1 2.066234-3 2.291304+1 2.077332-3 2.406975+1 2.108928-3 2.545495+1 2.144051-3 2.906251+1 2.185951-3 2.994918+1 2.367312-3 3.051437+1 2.501459-3 2.934763+1 2.563999-3 3.204934+1 2.856297-3 2.794550+1 2.932239-3 2.837291+1 3.117095-3 2.634386+1 3.214954-3 2.615878+1 3.751627-3 2.113741+1 4.329633-3 1.722947+1 4.906386-3 1.432779+1 5.515618-3 1.203868+1 6.401032-3 9.593338+0 7.321320-3 7.796214+0 8.332090-3 6.365324+0 9.556390-3 5.120461+0 1.090370-2 4.146763+0 1.100584-2 4.182205+0 1.105949-2 4.414860+0 1.110299-2 4.867073+0 1.114279-2 5.548978+0 1.127330-2 8.608387+0 1.133827-2 9.519711+0 1.141010-2 9.848723+0 1.260187-2 8.459060+0 1.271909-2 8.641110+0 1.283158-2 9.510050+0 1.295687-2 1.062743+1 1.308150-2 1.093067+1 1.326339-2 1.094463+1 1.352644-2 1.183550+1 1.394521-2 1.148984+1 1.610747-2 9.174477+0 1.840151-2 7.417557+0 2.078548-2 6.087172+0 2.370441-2 4.900757+0 2.626016-2 4.133467+0 2.953328-2 3.390765+0 3.275174-2 2.845534+0 3.642966-2 2.370807+0 4.132343-2 1.908298+0 4.660972-2 1.547967+0 5.256860-2 1.254578+0 5.913483-2 1.019800+0 6.684451-2 8.212222-1 7.442148-2 6.824853-1 7.485231-2 6.992943-1 7.510311-2 7.410102-1 7.532531-2 8.193034-1 7.552198-2 9.357678-1 7.573685-2 1.125401+0 7.599124-2 1.434139+0 7.668324-2 2.444250+0 7.699053-2 2.774343+0 7.733398-2 2.984937+0 7.783771-2 3.081303+0 9.272881-2 2.354122+0 1.062928-1 1.887767+0 1.193226-1 1.557793+0 1.340023-1 1.283594+0 1.531914-1 1.024895+0 1.708048-1 8.529480-1 1.923022-1 6.988474-1 2.147163-1 5.804534-1 2.400028-1 4.818893-1 2.692540-1 3.989621-1 3.000060-1 3.347931-1 3.370797-1 2.783233-1 3.794549-1 2.317329-1 4.293896-1 1.925617-1 4.824336-1 1.627725-1 5.468290-1 1.369513-1 6.202941-1 1.160702-1 7.040405-1 9.922946-2 8.006044-1 8.538384-2 9.305720-1 7.233961-2 1.127612+0 5.882988-2 1.347258+0 4.816416-2 1.546860+0 4.124609-2 1.776032+0 3.532171-2 2.039158+0 3.024827-2 2.341267+0 2.590356-2 2.688134+0 2.218290-2 3.086391+0 1.899665-2 3.543651+0 1.626807-2 4.068655+0 1.393140-2 4.710316+0 1.182425-2 5.616308+0 9.702094-3 6.448384+0 8.308533-3 7.403736+0 7.115136-3 8.500626+0 6.093152-3 9.760024+0 5.217962-3 1.000000+1 1.079517-2 1 77000 7 0 1.922000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-7.699065+1 3.000000-6-7.677310+1 4.388709-6-7.464294+1 4.605277-6-7.133880+1 4.662972-6-6.695320+1 4.706925-6-6.293402+1 4.728723-6-6.496112+1 4.755626-6-7.340172+1 4.767156-6-7.765822+1 4.792239-6-6.989265+1 4.814933-6-6.790776+1 4.910017-6-7.661610+1 4.937862-6-7.783922+1 5.113364-6-7.115292+1 5.159654-6-6.614658+1 5.216099-6-5.552435+1 5.234012-6-5.479853+1 5.249841-6-5.765224+1 5.263338-6-6.337151+1 5.285262-6-7.725643+1 5.287181-6-7.749008+1 5.306731-6-6.390934+1 5.322640-6-5.602080+1 5.337199-6-5.222425+1 5.351465-6-5.166077+1 5.375481-6-5.495490+1 5.428672-6-6.489222+1 5.494313-6-6.953890+1 5.689630-6-7.373552+1 6.860998-6-7.967932+1 7.069342-6-7.555934+1 7.153562-6-7.357252+1 7.200897-6-7.739230+1 7.217418-6-7.933729+1 7.274357-6-7.161590+1 7.321510-6-7.072083+1 7.468194-6-7.596326+1 7.955275-6-7.994604+1 8.054035-6-7.904169+1 8.089668-6-7.955496+1 8.180791-6-7.414622+1 8.568863-6-7.754217+1 8.850425-6-7.732781+1 9.140776-6-7.790984+1 9.343209-6-7.712813+1 1.040507-5-7.831191+1 1.079143-5-7.767924+1 1.960193-5-7.741428+1 3.018540-5-7.042036+1 4.254528-5-6.165228+1 4.378391-5-5.908249+1 4.464606-5-5.610838+1 4.507714-5-5.571335+1 4.547397-5-4.957790+1 4.565048-5-4.628946+1 4.580568-5-4.556968+1 4.596729-5-4.844259+1 4.605624-5-5.203331+1 4.624822-5-6.320004+1 4.641662-5-5.210705+1 4.655378-5-4.542214+1 4.666151-5-4.226968+1 4.681175-5-4.106086+1 4.702537-5-4.365500+1 4.752449-5-5.226082+1 4.813224-5-5.607885+1 5.165767-5-6.320785+1 5.512929-5-6.130334+1 5.696037-5-6.135577+1 5.776981-5-5.796193+1 5.850464-5-5.241327+1 5.875815-5-5.356263+1 5.903935-5-5.910378+1 5.912288-5-6.129408+1 5.950546-5-5.077048+1 5.973443-5-4.786754+1 6.001560-5-4.785875+1 6.089919-5-5.445139+1 6.266955-5-5.895933+1 6.377341-5-5.655390+1 6.495473-5-5.823397+1 6.622937-5-5.740271+1 7.036345-5-5.766787+1 9.411198-5-5.899844+1 1.612501-4-6.682985+1 2.024918-4-6.691258+1 3.105248-4-5.746644+1 3.460000-4-5.310723+1 4.461825-4-4.541278+1 4.882141-4-4.396679+1 5.252966-4-4.062848+1 6.456497-4-3.476381+1 7.651414-4-3.076156+1 9.158175-4-2.777542+1 1.132281-3-2.582942+1 1.371185-3-2.557818+1 1.615804-3-2.700843+1 1.794871-3-2.966254+1 1.899469-3-3.269121+1 1.963565-3-3.607222+1 1.998817-3-3.960644+1 2.038603-3-4.748617+1 2.051833-3-4.765801+1 2.089279-3-4.226711+1 2.131817-3-4.043268+1 2.172110-3-3.613411+1 2.231878-3-3.249884+1 2.367312-3-2.695979+1 2.454405-3-2.448156+1 2.501459-3-2.433307+1 2.538064-3-2.473544+1 2.563999-3-2.335528+1 2.605441-3-2.087767+1 2.671756-3-1.866872+1 2.779751-3-1.651765+1 2.856297-3-1.585344+1 2.902310-3-1.574247+1 2.976833-3-1.395503+1 3.068297-3-1.274357+1 3.149137-3-1.231698+1 3.242595-3-1.070858+1 3.384786-3-9.208689+0 3.562717-3-7.905909+0 3.751627-3-6.886521+0 4.027171-3-5.845214+0 4.329633-3-5.081950+0 4.737048-3-4.447877+0 5.270781-3-4.065497+0 5.901137-3-3.936099+0 6.679256-3-4.088729+0 7.651560-3-4.522195+0 8.677381-3-5.238808+0 9.556390-3-6.140969+0 1.018884-2-7.139628+0 1.059817-2-8.183696+0 1.084903-2-9.271465+0 1.098443-2-1.033864+1 1.117698-2-1.293872+1 1.123790-2-1.299424+1 1.132427-2-1.194654+1 1.144307-2-1.025105+1 1.156715-2-9.250443+0 1.175166-2-8.445590+0 1.204932-2-7.817938+0 1.232193-2-7.673467+0 1.255307-2-7.951574+0 1.271909-2-8.708084+0 1.283158-2-9.223144+0 1.292271-2-9.027387+0 1.312497-2-7.810873+0 1.326339-2-7.566928+0 1.339014-2-7.407744+0 1.352644-2-6.738593+0 1.370152-2-5.810175+0 1.394521-2-4.996196+0 1.430766-2-4.178967+0 1.464758-2-3.610729+0 1.504676-2-3.082807+0 1.541301-2-2.694679+0 1.594997-2-2.245960+0 1.653835-2-1.862150+0 1.731559-2-1.476612+0 1.818678-2-1.164182+0 1.911717-2-9.295905-1 2.003918-2-7.649790-1 2.078548-2-6.658054-1 2.183633-2-5.658920-1 2.280998-2-5.074341-1 2.393006-2-4.700164-1 2.551160-2-4.511932-1 2.730805-2-4.598277-1 2.953328-2-5.045616-1 3.411848-2-6.425981-1 5.468765-2-1.386655+0 6.154358-2-1.686838+0 6.684451-2-2.006744+0 7.028267-2-2.327592+0 7.234385-2-2.632196+0 7.379115-2-2.980056+0 7.473329-2-3.390194+0 7.552198-2-4.023646+0 7.606603-2-4.422185+0 7.648983-2-4.425825+0 7.699053-2-4.058494+0 7.783771-2-3.293334+0 7.852356-2-2.906161+0 7.962260-2-2.524808+0 8.122382-2-2.166553+0 8.324935-2-1.864290+0 8.598083-2-1.574601+0 8.896629-2-1.355516+0 9.272881-2-1.158358+0 9.774593-2-9.799279-1 1.034491-1-8.406430-1 1.113859-1-7.154207-1 1.193226-1-6.420815-1 1.285372-1-5.919399-1 1.429021-1-5.560761-1 1.641583-1-5.497864-1 3.245264-1-6.987447-1 4.629636-1-7.659258-1 7.370552-1-8.171648-1 1.619761+0-8.448820-1 4.891600+0-8.533669-1 1.000000+1-8.539629-1 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.036351-3 1.090214-6 1.454967-3 1.150624-6 1.791787-3 1.203482-6 2.147518-3 1.249733-6 2.513547-3 1.290203-6 2.883752-3 1.361025-6 3.651811-3 1.414141-6 4.341698-3 1.453979-6 4.937186-3 1.536000-6 6.383586-3 1.619966-6 8.047354-3 1.702542-6 1.009746-2 1.755746-6 1.165977-2 1.810613-6 1.350465-2 1.867195-6 1.568715-2 1.925545-6 1.827381-2 1.985718-6 2.135971-2 2.177757-6 3.385787-2 2.388368-6 5.440949-2 2.463005-6 6.388458-2 2.538271-6 7.516887-2 2.611185-6 8.798957-2 2.681821-6 1.024817-1 2.750249-6 1.187813-1 2.816539-6 1.370271-1 2.942969-6 1.790953-1 3.003236-6 2.032298-1 3.118179-6 2.581960-1 3.172971-6 2.893476-1 3.226051-6 3.233765-1 3.277472-6 3.604717-1 3.327286-6 4.008094-1 3.375544-6 4.445696-1 3.422293-6 4.919361-1 3.467582-6 5.430977-1 3.511455-6 5.983105-1 3.553957-6 6.582078-1 3.635018-6 7.900868-1 3.712300-6 9.419128-1 3.784751-6 1.114762+0 3.852675-6 1.310090+0 3.916353-6 1.529132+0 3.976051-6 1.774616+0 4.032018-6 2.048501+0 4.084487-6 2.352147+0 4.133677-6 2.687754+0 4.179792-6 3.057961+0 4.223025-6 3.465170+0 4.263557-6 3.911630+0 4.301554-6 4.399591+0 4.337178-6 4.931332+0 4.370574-6 5.509163+0 4.401884-6 6.135422+0 4.431236-6 6.812489+0 4.458754-6 7.542826+0 4.484552-6 8.328957+0 4.508738-6 9.173205+0 4.531412-6 1.007751+1 4.556250-6 1.121953+1 4.572597-6 1.207475+1 4.591280-6 1.317310+1 4.608795-6 1.434183+1 4.625216-6 1.558378+1 4.640610-6 1.690177+1 4.655042-6 1.829872+1 4.668572-6 1.977772+1 4.681257-6 2.134200+1 4.693148-6 2.299493+1 4.704297-6 2.474019+1 4.714749-6 2.658194+1 4.724547-6 2.852516+1 4.733733-6 3.057593+1 4.750957-6 3.519339+1 4.766028-6 4.038166+1 4.779215-6 4.621754+1 4.790753-6 5.274493+1 4.800850-6 5.994792+1 4.809684-6 6.774252+1 4.817414-6 7.598787+1 4.824178-6 8.450896+1 4.830096-6 9.312140+1 4.839805-6 1.099509+2 4.850709-6 1.334744+2 4.873678-6 2.019274+2 4.883514-6 2.396072+2 4.889510-6 2.649125+2 4.895505-6 2.918029+2 4.907496-6 3.493289+2 4.908994-6 3.567702+2 4.919486-6 4.094425+2 4.923608-6 4.300436+2 4.931477-6 4.683348+2 4.935599-6 4.874863+2 4.939533-6 5.049506+2 4.943467-6 5.214430+2 4.948713-6 5.416297+2 4.953772-6 5.588159+2 4.958456-6 5.724523+2 4.962390-6 5.820435+2 4.968198-6 5.928340+2 4.973819-6 5.992048+2 4.979814-6 6.013755+2 4.981901-6 6.009886+2 4.987857-6 5.966303+2 4.993761-6 5.876184+2 4.999136-6 5.755067+2 5.004421-6 5.601852+2 5.008016-6 5.479681+2 5.016512-6 5.139814+2 5.021149-6 4.928371+2 5.025057-6 4.738531+2 5.030212-6 4.474975+2 5.034229-6 4.261656+2 5.039393-6 3.980440+2 5.044638-6 3.690511+2 5.050119-6 3.387291+2 5.057379-6 2.991910+2 5.062624-6 2.715003+2 5.064123-6 2.637693+2 5.072554-6 2.221125+2 5.075364-6 2.090050+2 5.087355-6 1.580933+2 5.091969-6 1.408020+2 5.095657-6 1.279216+2 5.099346-6 1.158784+2 5.102343-6 1.067014+2 5.106278-6 9.547319+1 5.112240-6 8.017273+1 5.118205-6 6.682991+1 5.122899-6 5.762664+1 5.127520-6 4.960654+1 5.134317-6 3.953275+1 5.140956-6 3.147385+1 5.157948-6 1.739326+1 5.162039-6 1.514160+1 5.166051-6 1.328078+1 5.170001-6 1.175065+1 5.171952-6 1.109549+1 5.173889-6 1.050680+1 5.175810-6 9.979875+0 5.177716-6 9.510334+0 5.179607-6 9.094077+0 5.299708-6 3.001318+1 5.307214-6 3.471526+1 5.314251-6 3.997494+1 5.320849-6 4.581574+1 5.327034-6 5.225076+1 5.332832-6 5.928193+1 5.338268-6 6.689951+1 5.348142-6 8.379843+1 5.357100-6 1.033373+2 5.371797-6 1.467678+2 5.391665-6 2.363556+2 5.403648-6 3.131580+2 5.412991-6 3.875292+2 5.422205-6 4.747430+2 5.429045-6 5.489350+2 5.433148-6 5.974242+2 5.439819-6 6.826216+2 5.446489-6 7.755864+2 5.459829-6 9.830730+2 5.461496-6 1.010811+3 5.473169-6 1.213675+3 5.477755-6 1.296480+3 5.486509-6 1.456673+3 5.493283-6 1.580202+3 5.499849-6 1.697239+3 5.506624-6 1.812889+3 5.513189-6 1.917762+3 5.519026-6 2.003237+3 5.524419-6 2.074427+3 5.527363-6 2.109732+3 5.535180-6 2.189887+3 5.541284-6 2.237524+3 5.548395-6 2.275144+3 5.554198-6 2.290960+3 5.566967-6 2.277854+3 5.572933-6 2.249629+3 5.580724-6 2.192934+3 5.586049-6 2.142242+3 5.589640-6 2.103068+3 5.594898-6 2.039124+3 5.600005-6 1.970366+3 5.606571-6 1.873855+3 5.612407-6 1.781960+3 5.618035-6 1.689338+3 5.626581-6 1.544078+3 5.633251-6 1.429248+3 5.640755-6 1.301045+3 5.646591-6 1.203465+3 5.659931-6 9.924732+2 5.668894-6 8.632087+2 5.673272-6 8.043166+2 5.683277-6 6.808161+2 5.694356-6 5.624242+2 5.721877-6 3.465029+2 5.732591-6 2.881858+2 5.743138-6 2.419439+2 5.753562-6 2.052741+2 5.763823-6 1.763141+2 5.773924-6 1.533525+2 5.783866-6 1.350146+2 5.793654-6 1.202232+2 5.803288-6 1.081498+2 5.812772-6 9.816624+1 5.822108-6 8.980051+1 5.831298-6 8.269969+1 5.849390-6 7.122355+1 5.866917-6 6.242783+1 5.883897-6 5.546569+1 5.900346-6 4.981856+1 5.916281-6 4.515065+1 5.931717-6 4.123336+1 5.946672-6 3.790447+1 5.961159-6 3.504511+1 5.989228-6 3.033226+1 6.015542-6 2.669434+1 6.040212-6 2.381351+1 6.070926-6 2.078813+1 6.105350-6 1.797520+1 6.143464-6 1.540779+1 6.176813-6 1.352821+1 6.231527-6 1.101115+1 6.309723-6 8.294304+0 6.410260-6 5.793128+0 6.473372-6 4.606008+0 6.520706-6 3.859436+0 6.552262-6 3.418019+0 6.583818-6 3.015758+0 6.615374-6 2.648753+0 6.646930-6 2.314093+0 6.678486-6 2.009672+0 6.694264-6 1.868176+0 6.710042-6 1.733376+0 6.725820-6 1.604822+0 6.844851-6 7.913610-1 6.889488-6 5.537628-1 6.928545-6 3.809219-1 6.962719-6 2.577978-1 6.992622-6 1.730182-1 7.018788-6 1.184983-1 7.041682-6 8.825873-2 7.061715-6 7.753910-2 7.079243-6 8.222485-2 7.090034-6 9.244973-2 7.094581-6 9.855297-2 7.108001-6 1.230629-1 7.119744-6 1.526927-1 7.130019-6 1.848978-1 7.139009-6 2.177128-1 7.146876-6 2.497352-1 7.153760-6 2.800513-1 7.165805-6 3.374721-1 7.174840-6 3.833697-1 7.181616-6 4.188930-1 7.186698-6 4.459498-1 7.193368-6 4.817890-1 7.200871-6 5.223166-1 7.208764-6 5.650036-1 7.219670-6 6.241734-1 7.229918-6 6.808321-1 7.247252-6 7.851634-1 7.255123-6 8.400696-1 7.258983-6 8.697491-1 7.271117-6 9.796068-1 7.273958-6 1.009907+0 7.290577-6 1.235881+0 7.292792-6 1.273687+0 7.308303-6 1.604682+0 7.317224-6 1.857971+0 7.327081-6 2.202662+0 7.344968-6 3.032700+0 7.360825-6 4.020749+0 7.364771-6 4.306084+0 7.382809-6 5.811738+0 7.385064-6 6.022409+0 7.401976-6 7.742438+0 7.407789-6 8.382187+0 7.418887-6 9.650487+0 7.426926-6 1.059089+1 7.435037-6 1.154011+1 7.439634-6 1.207171+1 7.447455-6 1.295368+1 7.453443-6 1.360090+1 7.459899-6 1.426182+1 7.466419-6 1.488107+1 7.473839-6 1.551534+1 7.482342-6 1.613459+1 7.489773-6 1.656992+1 7.495954-6 1.685012+1 7.504158-6 1.710061+1 7.510736-6 1.719815+1 7.516367-6 1.720763+1 7.524431-6 1.710304+1 7.530360-6 1.693936+1 7.534059-6 1.680121+1 7.545157-6 1.623036+1 7.553197-6 1.568284+1 7.561476-6 1.501696+1 7.566201-6 1.459672+1 7.573952-6 1.385407+1 7.580282-6 1.320728+1 7.588591-6 1.231766+1 7.596603-6 1.143130+1 7.599273-6 1.113232+1 7.608293-6 1.011926+1 7.615057-6 9.364663+0 7.619567-6 8.868210+0 7.627459-6 8.018796+0 7.635351-6 7.201843+0 7.653389-6 5.494580+0 7.662313-6 4.746447+0 7.679349-6 3.512490+0 7.688202-6 2.973329+0 7.694153-6 2.649404+0 7.703513-6 2.200478+0 7.722440-6 1.503291+0 7.730698-6 1.279006+0 7.738956-6 1.097861+0 7.747515-6 9.514500-1 7.752207-6 8.874881-1 7.756830-6 8.348583-1 7.760481-6 8.001540-1 7.764089-6 7.714388-1 7.767656-6 7.481998-1 7.771182-6 7.299722-1 7.774667-6 7.163072-1 7.778111-6 7.067835-1 7.781515-6 7.010060-1 7.785992-6 6.984932-1 7.790399-6 7.011705-1 7.794738-6 7.082927-1 7.800067-6 7.224145-1 7.806326-6 7.454495-1 7.812943-6 7.759199-1 7.824726-6 8.409350-1 7.840051-6 9.344206-1 7.849300-6 9.896105-1 7.856937-6 1.031925+0 7.865115-6 1.072470+0 7.872979-6 1.105884+0 7.882019-6 1.137047+0 7.890644-6 1.159893+0 7.903186-6 1.184050+0 7.917836-6 1.209259+0 7.924831-6 1.226074+0 7.931504-6 1.249036+0 7.935781-6 1.268925+0 7.938932-6 1.286874+0 7.941951-6 1.307167+0 7.944929-6 1.330558+0 7.948684-6 1.365505+0 7.953453-6 1.420011+0 7.956164-6 1.456737+0 7.958811-6 1.497104+0 7.963313-6 1.577057+0 7.967217-6 1.659273+0 7.971811-6 1.773289+0 7.974644-6 1.853904+0 7.979384-6 2.008290+0 7.982817-6 2.136789+0 7.986246-6 2.280419+0 7.990111-6 2.462227+0 7.993965-6 2.666317+0 7.999539-6 3.005583+0 8.005113-6 3.402562+0 8.013901-6 4.161553+0 8.033530-6 6.576229+0 8.043361-6 8.242618+0 8.053159-6 1.026750+1 8.062973-6 1.270772+1 8.072787-6 1.560720+1 8.081917-6 1.875650+1 8.090640-6 2.220316+1 8.094607-6 2.391951+1 8.100509-6 2.665053+1 8.119350-6 3.683788+1 8.125528-6 4.067099+1 8.129873-6 4.351133+1 8.139650-6 5.032374+1 8.145396-6 5.458695+1 8.162805-6 6.852874+1 8.171533-6 7.598566+1 8.175023-6 7.902921+1 8.185490-6 8.829655+1 8.190858-6 9.308525+1 8.199988-6 1.011942+2 8.206979-6 1.072972+2 8.214829-6 1.139525+2 8.223493-6 1.209462+2 8.229816-6 1.257471+2 8.240263-6 1.329823+2 8.248149-6 1.377637+2 8.258146-6 1.428551+2 8.266295-6 1.461199+2 8.276430-6 1.489848+2 8.284720-6 1.502999+2 8.304086-6 1.497079+2 8.311888-6 1.480550+2 8.324867-6 1.436399+2 8.334319-6 1.392375+2 8.339849-6 1.362508+2 8.348922-6 1.307768+2 8.359111-6 1.239153+2 8.367621-6 1.177322+2 8.375827-6 1.114866+2 8.378562-6 1.093594+2 8.390058-6 1.002712+2 8.398681-6 9.339941+1 8.404042-6 8.914800+1 8.419275-6 7.734521+1 8.423938-6 7.385547+1 8.441347-6 6.153822+1 8.454714-6 5.298197+1 8.461242-6 4.911829+1 8.475756-6 4.129605+1 8.488901-6 3.512153+1 8.509085-6 2.723937+1 8.532882-6 2.014750+1 8.548179-6 1.664133+1 8.563477-6 1.380752+1 8.575254-6 1.200853+1 8.587031-6 1.048797+1 8.600593-6 9.025242+0 8.614155-6 7.816268+0 8.627559-6 6.823433+0 8.647664-6 5.628560+0 8.667770-6 4.700226+0 8.695823-6 3.717834+0 8.726773-6 2.919766+0 8.749986-6 2.454635+0 8.784805-6 1.904593+0 8.835899-6 1.321414+0 8.896137-6 9.048576-1 8.914738-6 8.415354-1 8.933338-6 8.168458-1 8.946771-6 8.266376-1 8.956845-6 8.510573-1 8.971957-6 9.183139-1 8.974338-6 9.325449-1 8.987069-6 1.027198+0 8.998313-6 1.139487+0 9.006746-6 1.243958+0 9.013071-6 1.335235+0 9.022558-6 1.495888+0 9.027302-6 1.588283+0 9.032045-6 1.689742+0 9.039594-6 1.872140+0 9.049503-6 2.157016+0 9.055872-6 2.372330+0 9.062242-6 2.617133+0 9.067662-6 2.851769+0 9.074775-6 3.201560+0 9.082206-6 3.624903+0 9.093072-6 4.369375+0 9.109727-6 5.866433+0 9.153284-6 1.266449+1 9.169785-6 1.663597+1 9.178716-6 1.914293+1 9.185912-6 2.134475+1 9.196288-6 2.479580+1 9.203934-6 2.753414+1 9.210758-6 3.010528+1 9.225093-6 3.583075+1 9.233823-6 3.947707+1 9.241165-6 4.259821+1 9.249022-6 4.595694+1 9.257493-6 4.955680+1 9.265015-6 5.269404+1 9.272873-6 5.587034+1 9.282257-6 5.947072+1 9.288821-6 6.182961+1 9.299511-6 6.532454+1 9.308844-6 6.796552+1 9.314630-6 6.938682+1 9.325874-6 7.163307+1 9.334996-6 7.292337+1 9.342009-6 7.357764+1 9.351751-6 7.399155+1 9.359642-6 7.390583+1 9.364096-6 7.369373+1 9.377458-6 7.237492+1 9.386534-6 7.092924+1 9.396080-6 6.897317+1 9.402493-6 6.743233+1 9.408814-6 6.575376+1 9.413192-6 6.450678+1 9.421073-6 6.210855+1 9.431417-6 5.871007+1 9.441391-6 5.522919+1 9.444716-6 5.403630+1 9.458240-6 4.908272+1 9.467135-6 4.578814+1 9.474533-6 4.306031+1 9.485351-6 3.913543+1 9.489555-6 3.764148+1 9.511974-6 3.010380+1 9.524585-6 2.626094+1 9.534393-6 2.350039+1 9.545603-6 2.060295+1 9.561446-6 1.698392+1 9.572983-6 1.469468+1 9.613166-6 8.793501+0 9.621923-6 7.882204+0 9.636783-6 6.591697+0 9.648045-6 5.804992+0 9.656712-6 5.298964+0 9.668597-6 4.730304+0 9.680481-6 4.289724+0 9.694632-6 3.909372+0 9.704250-6 3.728585+0 9.713419-6 3.607485+0 9.728019-6 3.504694+0 9.731051-6 3.495707+0 9.739903-6 3.491074+0 9.751787-6 3.530090+0 9.757730-6 3.566551+0 9.763619-6 3.612429+0 9.775556-6 3.730974+0 9.790412-6 3.915684+0 9.823094-6 4.393682+0 9.840920-6 4.651286+0 9.846862-6 4.731122+0 9.858747-6 4.877259+0 9.870631-6 5.001219+0 9.876573-6 5.053622+0 9.889943-6 5.145978+0 9.900342-6 5.192330+0 9.918169-6 5.220459+0 9.924111-6 5.216367+0 9.941938-6 5.170300+0 9.965706-6 5.057196+0 9.992156-6 4.929626+0 1.001695-5 4.889848+0 1.002761-5 4.915881+0 1.003701-5 4.966384+0 1.004160-5 5.001309+0 1.006078-5 5.226696+0 1.007083-5 5.398391+0 1.008455-5 5.692901+0 1.009399-5 5.934433+0 1.009939-5 6.085696+0 1.011980-5 6.734492+0 1.014619-5 7.697667+0 1.016389-5 8.368040+0 1.017783-5 8.878307+0 1.019248-5 9.373276+0 1.020524-5 9.753018+0 1.021727-5 1.005455+1 1.022806-5 1.027024+1 1.023884-5 1.042872+1 1.024193-5 1.046291+1 1.026350-5 1.055796+1 1.027198-5 1.052526+1 1.028816-5 1.035537+1 1.029298-5 1.027850+1 1.030142-5 1.011670+1 1.030775-5 9.973723+0 1.031725-5 9.727190+0 1.032674-5 9.445924+0 1.033559-5 9.156706+0 1.034885-5 8.682434+0 1.036212-5 8.171780+0 1.037445-5 7.676604+0 1.038678-5 7.172210+0 1.041026-5 6.219825+0 1.043486-5 5.283654+0 1.048404-5 3.753806+0 1.050030-5 3.366957+0 1.051702-5 3.031141+0 1.054596-5 2.589775+0 1.058731-5 2.231471+0 1.061671-5 2.143646+0 1.063279-5 2.147697+0 1.063819-5 2.156864+0 1.064817-5 2.183810+0 1.066414-5 2.253044+0 1.067853-5 2.341827+0 1.069091-5 2.437184+0 1.071685-5 2.688737+0 1.077813-5 3.481149+0 1.080014-5 3.792243+0 1.081933-5 4.054969+0 1.083625-5 4.271375+0 1.084273-5 4.349077+0 1.085794-5 4.518110+0 1.087372-5 4.671151+0 1.090033-5 4.873612+0 1.090645-5 4.910291+0 1.092608-5 5.005198+0 1.095125-5 5.084291+0 1.102000-5 5.210039+0 1.104515-5 5.281862+0 1.107265-5 5.399763+0 1.110387-5 5.585104+0 1.119177-5 6.251936+0 1.122716-5 6.497047+0 1.125598-5 6.667308+0 1.135011-5 7.146886+0 1.135870-5 7.199386+0 1.140019-5 7.521462+0 1.142093-5 7.739268+0 1.144168-5 8.004495+0 1.146258-5 8.324714+0 1.149645-5 8.960677+0 1.153825-5 9.924255+0 1.157267-5 1.080765+1 1.159593-5 1.140561+1 1.161258-5 1.181286+1 1.162618-5 1.212217+1 1.164403-5 1.248365+1 1.166411-5 1.281250+1 1.167489-5 1.294861+1 1.169269-5 1.310355+1 1.169862-5 1.313466+1 1.172610-5 1.313778+1 1.172982-5 1.312014+1 1.175587-5 1.287842+1 1.176374-5 1.276641+1 1.178734-5 1.233279+1 1.180638-5 1.189102+1 1.182192-5 1.148239+1 1.183358-5 1.115443+1 1.185107-5 1.063880+1 1.186856-5 1.010812+1 1.189390-5 9.341464+0 1.194666-5 7.892318+0 1.199648-5 6.853055+0 1.201245-5 6.599323+0 1.202295-5 6.453618+0 1.204957-5 6.156355+0 1.207804-5 5.946182+0 1.211086-5 5.827708+0 1.213497-5 5.815886+0 1.216117-5 5.867586+0 1.221153-5 6.132628+0 1.222103-5 6.204277+0 1.225245-5 6.482071+0 1.229699-5 6.958210+0 1.234615-5 7.527096+0 1.236033-5 7.685853+0 1.239223-5 8.013464+0 1.241964-5 8.246737+0 1.243642-5 8.361896+0 1.246303-5 8.497174+0 1.249661-5 8.585394+0 1.252670-5 8.596386+0 1.256909-5 8.539426+0 1.264010-5 8.412823+0 1.267003-5 8.396199+0 1.270370-5 8.418648+0 1.274354-5 8.498123+0 1.279828-5 8.669756+0 1.288828-5 8.981018+0 1.301124-5 9.299677+0 1.309079-5 9.425447+0 1.313323-5 9.457475+0 1.317567-5 9.457945+0 1.323751-5 9.397659+0 1.331674-5 9.236611+0 1.340018-5 9.048084+0 1.344571-5 8.976735+0 1.349586-5 8.944169+0 1.354607-5 8.966109+0 1.358171-5 9.013438+0 1.361728-5 9.083516+0 1.367060-5 9.222554+0 1.378194-5 9.593107+0 1.410664-5 1.085671+1 1.432705-5 1.176102+1 1.477827-5 1.370859+1 1.571634-5 1.840512+1 1.659587-5 2.364338+1 1.726094-5 2.819867+1 1.802397-5 3.407377+1 1.870043-5 3.991088+1 1.982383-5 5.089448+1 2.075296-5 6.122948+1 2.170233-5 7.300669+1 2.290868-5 8.960020+1 2.400271-5 1.060815+2 2.513602-5 1.244230+2 2.630787-5 1.442926+2 2.715363-5 1.589142+2 2.810509-5 1.755592+2 2.901114-5 1.911094+2 2.985383-5 2.050761+2 3.028993-5 2.120723+2 3.100570-5 2.231779+2 3.172483-5 2.336887+2 3.276800-5 2.476748+2 3.356250-5 2.572709+2 3.460996-5 2.681492+2 3.572024-5 2.774547+2 3.686400-5 2.845039+2 3.789217-5 2.886168+2 3.861370-5 2.901953+2 3.952677-5 2.907423+2 4.032397-5 2.897308+2 4.118814-5 2.872137+2 4.199242-5 2.833294+2 4.256728-5 2.816087+2 4.354507-5 2.873153+2 4.421190-5 2.947900+2 4.476333-5 3.036803+2 4.516268-5 3.128747+2 4.550879-5 3.242899+2 4.579949-5 3.385452+2 4.600860-5 3.531805+2 4.615427-5 3.661986+2 4.621127-5 3.719653+2 4.643875-5 3.983898+2 4.666624-5 4.281691+2 4.677998-5 4.430883+2 4.696482-5 4.662187+2 4.712121-5 4.854428+2 4.723496-5 5.010320+2 4.734870-5 5.204171+2 4.738780-5 5.284762+2 4.746244-5 5.465616+2 4.750154-5 5.577137+2 4.757619-5 5.828268+2 4.761529-5 5.982340+2 4.766194-5 6.188605+2 4.771366-5 6.447813+2 4.779701-5 6.937691+2 4.783840-5 7.215304+2 4.791742-5 7.809134+2 4.802742-5 8.769396+2 4.815942-5 1.009524+3 4.827918-5 1.140569+3 4.838762-5 1.261935+3 4.843265-5 1.311613+3 4.850524-5 1.389274+3 4.856473-5 1.449585+3 4.860815-5 1.491096+3 4.868855-5 1.561092+3 4.873312-5 1.595420+3 4.881237-5 1.647399+3 4.887474-5 1.679304+3 4.894373-5 1.704556+3 4.900607-5 1.717812+3 4.908229-5 1.721266+3 4.911445-5 1.718470+3 4.920358-5 1.697659+3 4.925958-5 1.675059+3 4.932855-5 1.637741+3 4.938319-5 1.601341+3 4.943147-5 1.564654+3 4.948292-5 1.521426+3 4.954908-5 1.460581+3 4.961339-5 1.397014+3 4.968140-5 1.326541+3 4.978431-5 1.217031+3 4.991663-5 1.078354+3 5.018762-5 8.326607+2 5.026749-5 7.742288+2 5.034613-5 7.233612+2 5.042354-5 6.795076+2 5.050004-5 6.418354+2 5.057535-5 6.097630+2 5.072245-5 5.593793+2 5.086500-5 5.228330+2 5.100312-5 4.958021+2 5.113802-5 4.750648+2 5.139529-5 4.455203+2 5.163674-5 4.250372+2 5.192620-5 4.058196+2 5.232873-5 3.848942+2 5.281663-5 3.649204+2 5.340331-5 3.455662+2 5.545955-5 2.895348+2 5.607532-5 2.708254+2 5.686765-5 2.441519+2 5.705085-5 2.395482+2 5.716952-5 2.374804+2 5.727835-5 2.363819+2 5.742339-5 2.362712+2 5.757388-5 2.378933+2 5.769293-5 2.403982+2 5.781473-5 2.439491+2 5.800761-5 2.511002+2 5.826837-5 2.620237+2 5.841753-5 2.679898+2 5.856475-5 2.732064+2 5.875501-5 2.786522+2 5.889716-5 2.817240+2 5.909258-5 2.846964+2 5.956166-5 2.874125+2 5.993438-5 2.858652+2 6.016558-5 2.832182+2 6.041382-5 2.796312+2 6.058223-5 2.777766+2 6.077468-5 2.778951+2 6.094879-5 2.818814+2 6.107813-5 2.883981+2 6.123006-5 3.010852+2 6.136315-5 3.174852+2 6.148320-5 3.369984+2 6.155480-5 3.508736+2 6.166460-5 3.754377+2 6.199749-5 4.725477+2 6.214722-5 5.251425+2 6.233012-5 5.937553+2 6.245077-5 6.401062+2 6.257528-5 6.876010+2 6.271305-5 7.384266+2 6.284282-5 7.832872+2 6.297548-5 8.246506+2 6.306046-5 8.480270+2 6.318004-5 8.758183+2 6.325070-5 8.889979+2 6.334811-5 9.027157+2 6.339550-5 9.073851+2 6.349965-5 9.127664+2 6.356810-5 9.125409+2 6.366081-5 9.074448+2 6.373457-5 8.995391+2 6.378625-5 8.920551+2 6.385408-5 8.799488+2 6.394130-5 8.609163+2 6.405644-5 8.307476+2 6.409308-5 8.201658+2 6.424486-5 7.728311+2 6.442693-5 7.126012+2 6.479460-5 5.999681+2 6.489188-5 5.748676+2 6.503336-5 5.426348+2 6.518373-5 5.138374+2 6.541721-5 4.790430+2 6.572851-5 4.469769+2 6.609906-5 4.220182+2 6.657890-5 4.004481+2 6.714945-5 3.821217+2 6.798379-5 3.617367+2 7.017515-5 3.170684+2 7.087484-5 2.994436+2 7.157211-5 2.788210+2 7.193114-5 2.708026+2 7.209749-5 2.690227+2 7.227365-5 2.690475+2 7.245925-5 2.715232+2 7.256814-5 2.741963+2 7.271084-5 2.790089+2 7.284835-5 2.848926+2 7.316545-5 3.015780+2 7.334000-5 3.113915+2 7.354270-5 3.221535+2 7.375645-5 3.319311+2 7.385000-5 3.355938+2 7.401163-5 3.410717+2 7.426969-5 3.481492+2 7.469971-5 3.591247+2 7.504960-5 3.703385+2 7.542713-5 3.838603+2 7.561197-5 3.896916+2 7.580247-5 3.943104+2 7.595375-5 3.966598+2 7.612207-5 3.977443+2 7.636358-5 3.965307+2 7.650067-5 3.945599+2 7.667665-5 3.909646+2 7.686041-5 3.863043+2 7.755303-5 3.666805+2 7.792033-5 3.577343+2 7.829949-5 3.501833+2 7.908565-5 3.386149+2 8.065114-5 3.226903+2 8.125143-5 3.178659+2 8.175230-5 3.146876+2 8.279598-5 3.106981+2 8.424928-5 3.077784+2 8.604348-5 3.030947+2 8.800458-5 3.001818+2 8.959058-5 2.967941+2 9.441235-5 2.822493+2 9.772371-5 2.716666+2 1.006083-4 2.619972+2 1.030736-4 2.532105+2 1.064585-4 2.401713+2 1.078175-4 2.373347+2 1.091826-4 2.348003+2 1.110887-4 2.294863+2 1.128490-4 2.237117+2 1.186718-4 2.037056+2 1.230269-4 1.895390+2 1.303167-4 1.675285+2 1.421149-4 1.384576+2 1.480000-4 1.275953+2 1.502189-4 1.241724+2 1.537115-4 1.196363+2 1.558045-4 1.174564+2 1.603246-4 1.140297+2 1.634061-4 1.126672+2 1.669168-4 1.123573+2 1.724495-4 1.141910+2 1.778279-4 1.189738+2 1.825483-4 1.254383+2 1.875534-4 1.346627+2 1.915000-4 1.436046+2 1.961397-4 1.556393+2 2.020650-4 1.732863+2 2.200720-4 2.389503+2 2.267768-4 2.668706+2 2.344229-4 3.003381+2 2.430000-4 3.395984+2 2.511886-4 3.783844+2 2.603937-4 4.229047+2 2.697959-4 4.682887+2 2.800000-4 5.166669+2 2.910798-4 5.664416+2 3.007118-4 6.054642+2 3.088129-4 6.331769+2 3.111980-4 6.450741+2 3.131149-4 6.591806+2 3.171949-4 6.974519+2 3.189729-4 7.113841+2 3.206691-4 7.210726+2 3.249677-4 7.378642+2 3.277311-4 7.518963+2 3.328886-4 7.886305+2 3.344945-4 7.992574+2 3.366250-4 8.107734+2 3.470000-4 8.515793+2 3.763507-4 9.630832+2 4.033230-4 1.058236+3 4.278985-4 1.135967+3 4.525075-4 1.202331+3 4.772112-4 1.257637+3 4.930058-4 1.286738+3 5.025355-4 1.307544+3 5.093339-4 1.319415+3 5.125507-4 1.332288+3 5.191743-4 1.371865+3 5.255826-4 1.405343+3 5.372097-4 1.446801+3 5.575000-4 1.500594+3 5.822510-4 1.551549+3 5.969646-4 1.577770+3 6.140848-4 1.618291+3 6.350000-4 1.660968+3 6.657902-4 1.707759+3 7.014287-4 1.744151+3 7.076250-4 1.752718+3 7.336250-4 1.803755+3 7.564915-4 1.834427+3 7.914755-4 1.868853+3 8.365656-4 1.901828+3 8.880502-4 1.929104+3 9.374901-4 1.948579+3 9.968794-4 1.963250+3 1.065369-3 1.970717+3 1.127076-3 1.969005+3 1.206598-3 1.957398+3 1.288249-3 1.930369+3 1.377210-3 1.889975+3 1.462178-3 1.844040+3 1.543639-3 1.792807+3 1.631173-3 1.727038+3 1.703138-3 1.660334+3 1.773169-3 1.583547+3 1.830479-3 1.511042+3 1.880940-3 1.437532+3 1.924049-3 1.364699+3 1.958030-3 1.297816+3 1.985221-3 1.235753+3 2.011118-3 1.166860+3 2.030997-3 1.104793+3 2.050167-3 1.033183+3 2.065047-3 9.652881+2 2.076008-3 9.066211+2 2.083892-3 8.607988+2 2.098968-3 7.760929+2 2.104384-3 7.520027+2 2.106927-3 7.428206+2 2.109520-3 7.351470+2 2.111881-3 7.297990+2 2.114361-3 7.260058+2 2.117303-3 7.240832+2 2.120024-3 7.248967+2 2.123990-3 7.306225+2 2.127545-3 7.402484+2 2.131420-3 7.552744+2 2.135672-3 7.765658+2 2.139475-3 7.990907+2 2.154727-3 9.053220+2 2.161516-3 9.516276+2 2.165936-3 9.792652+2 2.171694-3 1.011698+3 2.179462-3 1.049475+3 2.201727-3 1.143134+3 2.210043-3 1.182819+3 2.226850-3 1.277047+3 2.238994-3 1.349448+3 2.247915-3 1.399741+3 2.261420-3 1.466630+3 2.274443-3 1.519935+3 2.294167-3 1.585092+3 2.320732-3 1.657171+3 2.362153-3 1.756919+3 2.419453-3 1.890297+3 2.452266-3 1.964632+3 2.482774-3 2.025926+3 2.507819-3 2.064174+3 2.530577-3 2.085748+3 2.552906-3 2.094170+3 2.598824-3 2.087854+3 2.609533-3 2.091524+3 2.620825-3 2.103085+3 2.629830-3 2.119164+3 2.646384-3 2.163837+3 2.684371-3 2.292918+3 2.699131-3 2.334034+3 2.716333-3 2.371504+3 2.739383-3 2.408121+3 2.761203-3 2.433658+3 2.798174-3 2.465497+3 2.827228-3 2.483468+3 2.866137-3 2.499517+3 2.906093-3 2.507888+3 2.963663-3 2.504477+3 2.984704-3 2.502138+3 3.005397-3 2.505599+3 3.030998-3 2.522710+3 3.093844-3 2.586420+3 3.116005-3 2.600335+3 3.148026-3 2.611760+3 3.184207-3 2.615827+3 3.239678-3 2.612533+3 3.274421-3 2.621425+3 3.340185-3 2.665433+3 3.365590-3 2.678185+3 3.402871-3 2.690077+3 3.505739-3 2.704251+3 3.630781-3 2.703693+3 3.801894-3 2.686756+3 3.994042-3 2.655765+3 4.302789-3 2.586693+3 4.513685-3 2.534321+3 4.841723-3 2.444667+3 5.292634-3 2.317129+3 5.721369-3 2.198096+3 6.187895-3 2.072882+3 6.673930-3 1.948035+3 7.237624-3 1.812227+3 7.546751-3 1.741580+3 7.888123-3 1.666382+3 8.232787-3 1.593152+3 8.598226-3 1.518290+3 8.977104-3 1.442919+3 9.299027-3 1.380404+3 9.582357-3 1.326080+3 9.857120-3 1.273651+3 1.009652-2 1.227482+3 1.030127-2 1.187291+3 1.049487-2 1.148161+3 1.065369-2 1.114657+3 1.079491-2 1.083145+3 1.091707-2 1.053927+3 1.101743-2 1.027796+3 1.110572-2 1.002233+3 1.117858-2 9.781677+2 1.123741-2 9.557998+2 1.128460-2 9.355274+2 1.138869-2 8.855043+2 1.144811-2 8.591056+2 1.148975-2 8.453476+2 1.153122-2 8.376586+2 1.155284-2 8.364080+2 1.159367-2 8.392807+2 1.162870-2 8.466611+2 1.168821-2 8.664652+2 1.178483-2 9.038320+2 1.185390-2 9.254715+2 1.190000-2 9.362454+2 1.193855-2 9.431908+2 1.200222-2 9.513498+2 1.207531-2 9.570011+2 1.215868-2 9.601520+2 1.224068-2 9.608362+2 1.235147-2 9.589740+2 1.246275-2 9.544816+2 1.256762-2 9.480511+2 1.269234-2 9.377483+2 1.279637-2 9.266906+2 1.288477-2 9.149557+2 1.295875-2 9.029909+2 1.318257-2 8.596480+2 1.324871-2 8.513881+2 1.329689-2 8.489275+2 1.335668-2 8.502312+2 1.346469-2 8.607272+2 1.355392-2 8.701990+2 1.364215-2 8.758146+2 1.384494-2 8.831782+2 1.397644-2 8.952532+2 1.414666-2 9.133686+2 1.429295-2 9.227097+2 1.448741-2 9.272453+2 1.477531-2 9.263550+2 1.514106-2 9.188379+2 1.552305-2 9.069837+2 1.605554-2 8.863161+2 1.665036-2 8.602824+2 1.737801-2 8.268206+2 1.860883-2 7.702476+2 2.014137-2 7.040037+2 2.237768-2 6.190804+2 2.486262-2 5.401277+2 2.757180-2 4.691908+2 3.109466-2 3.953818+2 3.479005-2 3.348363+2 3.779136-2 2.947466+2 4.091647-2 2.592287+2 4.995366-2 1.852807+2 5.403265-2 1.618163+2 5.872233-2 1.394748+2 6.329076-2 1.213345+2 6.701395-2 1.085602+2 6.999987-2 9.921800+1 7.229453-2 9.230868+1 7.388257-2 8.745785+1 7.509741-2 8.350154+1 7.563492-2 8.158318+1 7.605641-2 7.993964+1 7.669570-2 7.708538+1 7.787266-2 7.119982+1 7.818308-2 7.009571+1 7.847204-2 6.949221+1 7.879618-2 6.936130+1 7.911671-2 6.974599+1 7.967535-2 7.115423+1 8.036167-2 7.296525+1 8.087058-2 7.385108+1 8.153965-2 7.442010+1 8.244324-2 7.454014+1 8.356475-2 7.418064+1 8.551204-2 7.294288+1 8.833902-2 7.055763+1 9.134890-2 6.773216+1 9.579627-2 6.347103+1 1.027136-1 5.718821+1 1.109923-1 5.051341+1 1.222942-1 4.287681+1 1.356119-1 3.577741+1 1.643543-1 2.535834+1 2.082624-1 1.647403+1 2.519676-1 1.155652+1 3.180534-1 7.430382+0 4.221519-1 4.309157+0 6.040344-1 2.145811+0 9.751300-1 8.377560-1 1.619761+0 3.067999-1 3.384160+0 7.068557-2 1.022000+1 7.761415-3 3.086391+1 8.511310-4 9.320751+1 9.332594-5 2.814822+2 1.023300-5 8.500626+2 1.122026-6 3.162278+3 8.107835-8 1.000000+4 8.107835-9 3.162278+4 8.10783-10 1.000000+5 8.10783-11 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.354800-6 1.258900-6 2.147200-6 1.584900-6 3.403000-6 1.995300-6 5.393400-6 2.511900-6 8.548000-6 3.162300-6 1.354800-5 3.981100-6 2.147100-5 5.011900-6 3.403000-5 6.309600-6 5.393300-5 7.943300-6 8.547700-5 1.000000-5 1.354700-4 1.258900-5 2.147000-4 1.584900-5 3.402800-4 1.995300-5 5.392900-4 2.511900-5 8.546900-4 3.162300-5 1.354400-3 3.981100-5 2.145800-3 5.011900-5 3.399600-3 6.309600-5 5.386400-3 7.943300-5 8.534200-3 1.000000-4 1.351200-2 1.258900-4 2.138900-2 1.584900-4 3.381500-2 1.995300-4 5.342800-2 2.511900-4 8.424000-2 3.162300-4 1.324500-1 3.981100-4 2.073200-1 5.011900-4 3.223500-1 6.309600-4 4.940500-1 7.943300-4 7.427500-1 1.000000-3 1.091500+0 1.258900-3 1.562900+0 1.584900-3 2.176800+0 1.995300-3 2.954600+0 2.511900-3 3.921800+0 3.162300-3 5.101900+0 3.981100-3 6.529900+0 5.011900-3 8.254700+0 6.309600-3 1.031600+1 7.943300-3 1.265500+1 1.000000-2 1.516900+1 1.258900-2 1.774900+1 1.584900-2 2.039700+1 1.995300-2 2.309600+1 2.511900-2 2.570100+1 3.162300-2 2.820300+1 3.981100-2 3.023600+1 5.011900-2 3.174100+1 6.309600-2 3.268500+1 7.943300-2 3.307800+1 1.000000-1 3.290900+1 1.258900-1 3.222600+1 1.584900-1 3.109100+1 1.995300-1 2.960700+1 2.511900-1 2.788200+1 3.162300-1 2.600300+1 3.981100-1 2.404200+1 5.011900-1 2.205700+1 6.309600-1 2.009000+1 7.943300-1 1.817500+1 1.000000+0 1.633500+1 1.258900+0 1.458100+1 1.584900+0 1.293100+1 1.995300+0 1.139200+1 2.511900+0 9.970800+0 3.162300+0 8.672100+0 3.981100+0 7.497600+0 5.011900+0 6.445700+0 6.309600+0 5.511800+0 7.943300+0 4.691000+0 1.000000+1 3.974600+0 1.258900+1 3.354000+0 1.584900+1 2.819800+0 1.995300+1 2.362900+0 2.511900+1 1.974100+0 3.162300+1 1.644700+0 3.981100+1 1.367000+0 5.011900+1 1.133700+0 6.309600+1 9.382800-1 7.943300+1 7.751500-1 1.000000+2 6.393200-1 1.258900+2 5.264900-1 1.584900+2 4.329800-1 1.995300+2 3.556200-1 2.511900+2 2.917400-1 3.162300+2 2.390800-1 3.981100+2 1.957200-1 5.011900+2 1.600800-1 6.309600+2 1.308100-1 7.943300+2 1.068100-1 1.000000+3 8.714300-2 1.258900+3 7.104700-2 1.584900+3 5.788400-2 1.995300+3 4.713000-2 2.511900+3 3.835000-2 3.162300+3 3.118800-2 3.981100+3 2.535000-2 5.011900+3 2.059300-2 6.309600+3 1.672100-2 7.943300+3 1.357000-2 1.000000+4 1.100800-2 1.258900+4 8.926200-3 1.584900+4 7.234800-3 1.995300+4 5.861600-3 2.511900+4 4.747100-3 3.162300+4 3.843100-3 3.981100+4 3.110200-3 5.011900+4 2.516200-3 6.309600+4 2.034900-3 7.943300+4 1.645200-3 1.000000+5 1.329600-3 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159548-4 3.981072-4 3.976752-4 5.011872-4 5.005045-4 6.309573-4 6.298784-4 7.943282-4 7.926315-4 1.000000-3 9.973372-4 1.258925-3 1.254762-3 1.584893-3 1.578385-3 1.995262-3 1.985096-3 2.511886-3 2.496007-3 3.162278-3 3.137469-3 3.981072-3 3.942281-3 5.011872-3 4.951048-3 6.309573-3 6.214536-3 7.943282-3 7.794816-3 1.000000-2 9.770064-3 1.258925-2 1.223392-2 1.584893-2 1.530047-2 1.995262-2 1.910678-2 2.511886-2 2.381608-2 3.162278-2 2.963348-2 3.981072-2 3.679073-2 5.011872-2 4.556938-2 6.309573-2 5.629571-2 7.943282-2 6.932803-2 1.000000-1 8.513776-2 1.258925-1 1.041696-1 1.584893-1 1.270803-1 1.995262-1 1.545262-1 2.511886-1 1.872867-1 3.162278-1 2.262472-1 3.981072-1 2.724180-1 5.011872-1 3.270199-1 6.309573-1 3.914773-1 7.943282-1 4.674684-1 1.000000+0 5.567462-1 1.258925+0 6.621696-1 1.584893+0 7.864550-1 1.995262+0 9.335543-1 2.511886+0 1.108134+0 3.162278+0 1.315856+0 3.981072+0 1.563845+0 5.011872+0 1.860744+0 6.309573+0 2.217000+0 7.943282+0 2.645436+0 1.000000+1 3.162066+0 1.258925+1 3.786272+0 1.584893+1 4.541304+0 1.995262+1 5.456570+0 2.511886+1 6.567380+0 3.162278+1 7.917404+0 3.981072+1 9.559857+0 5.011872+1 1.156064+1 6.309573+1 1.400035+1 7.943282+1 1.697798+1 1.000000+2 2.061539+1 1.258925+2 2.506269+1 1.584893+2 3.050413+1 1.995262+2 3.716765+1 2.511886+2 4.533282+1 3.162278+2 5.534543+1 3.981072+2 6.762989+1 5.011872+2 8.271325+1 6.309573+2 1.012428+2 7.943282+2 1.240190+2 1.000000+3 1.520283+2 1.258925+3 1.864898+2 1.584893+3 2.289156+2 1.995262+3 2.811726+2 2.511886+3 3.455495+2 3.162278+3 4.249337+2 3.981072+3 5.228237+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739859-9 3.981072-5 4.341985-9 5.011872-5 6.881220-9 6.309573-5 1.090560-8 7.943282-5 1.728325-8 1.000000-4 2.738502-8 1.258925-4 4.339489-8 1.584893-4 6.874166-8 1.995262-4 1.089017-7 2.511886-4 1.724636-7 3.162278-4 2.729942-7 3.981072-4 4.319241-7 5.011872-4 6.827429-7 6.309573-4 1.078943-6 7.943282-4 1.696720-6 1.000000-3 2.662809-6 1.258925-3 4.163094-6 1.584893-3 6.508218-6 1.995262-3 1.016599-5 2.511886-3 1.587918-5 3.162278-3 2.480897-5 3.981072-3 3.879097-5 5.011872-3 6.082412-5 6.309573-3 9.503773-5 7.943282-3 1.484666-4 1.000000-2 2.299361-4 1.258925-2 3.553310-4 1.584893-2 5.484667-4 1.995262-2 8.458436-4 2.511886-2 1.302788-3 3.162278-2 1.989301-3 3.981072-2 3.019987-3 5.011872-2 4.549345-3 6.309573-2 6.800025-3 7.943282-2 1.010479-2 1.000000-1 1.486224-2 1.258925-1 2.172298-2 1.584893-1 3.140903-2 1.995262-1 4.500003-2 2.511886-1 6.390193-2 3.162278-1 8.998060-2 3.981072-1 1.256892-1 5.011872-1 1.741673-1 6.309573-1 2.394801-1 7.943282-1 3.268598-1 1.000000+0 4.432538-1 1.258925+0 5.967558-1 1.584893+0 7.984382-1 1.995262+0 1.061708+0 2.511886+0 1.403753+0 3.162278+0 1.846421+0 3.981072+0 2.417226+0 5.011872+0 3.151128+0 6.309573+0 4.092573+0 7.943282+0 5.297847+0 1.000000+1 6.837934+0 1.258925+1 8.802982+0 1.584893+1 1.130763+1 1.995262+1 1.449605+1 2.511886+1 1.855148+1 3.162278+1 2.370537+1 3.981072+1 3.025086+1 5.011872+1 3.855809+1 6.309573+1 4.909539+1 7.943282+1 6.245484+1 1.000000+2 7.938461+1 1.258925+2 1.008298+2 1.584893+2 1.279852+2 1.995262+2 1.623586+2 2.511886+2 2.058558+2 3.162278+2 2.608823+2 3.981072+2 3.304773+2 5.011872+2 4.184740+2 6.309573+2 5.297145+2 7.943282+2 6.703093+2 1.000000+3 8.479717+2 1.258925+3 1.072436+3 1.584893+3 1.355978+3 1.995262+3 1.714090+3 2.511886+3 2.166337+3 3.162278+3 2.737344+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 8.070000-6 3.877410+6 8.511380-6 3.154111+6 9.540000-6 2.001447+6 9.540000-6 9.966449+6 9.700000-6 9.973510+6 1.000000-5 1.001021+7 1.059254-5 1.023505+7 1.102000-5 1.049349+7 1.102000-5 1.502916+7 1.109175-5 1.509700+7 1.135011-5 1.534794+7 1.150000-5 1.551222+7 1.180000-5 1.586352+7 1.230269-5 1.652625+7 1.258925-5 1.693944+7 1.288250-5 1.737205+7 1.370000-5 1.867579+7 1.428894-5 1.968641+7 1.462177-5 2.027114+7 1.500000-5 2.092806+7 1.659587-5 2.383970+7 1.850000-5 2.739023+7 1.862087-5 2.761234+7 1.972423-5 2.962905+7 2.018366-5 3.048060+7 2.041738-5 3.089500+7 2.137962-5 3.257047+7 2.162719-5 3.300459+7 2.190000-5 3.345381+7 2.270000-5 3.473128+7 2.290868-5 3.506554+7 2.317395-5 3.545855+7 2.388200-5 3.646258+7 2.400000-5 3.662997+7 2.426610-5 3.697255+7 2.500000-5 3.786231+7 2.511886-5 3.800616+7 2.540973-5 3.831658+7 2.610000-5 3.899001+7 2.660725-5 3.941316+7 2.691535-5 3.963761+7 2.770000-5 4.008296+7 2.786121-5 4.015815+7 2.800000-5 4.022272+7 2.851018-5 4.037103+7 2.884032-5 4.043340+7 2.900000-5 4.046347+7 2.951209-5 4.047141+7 2.985383-5 4.043784+7 3.000000-5 4.042371+7 3.054921-5 4.028471+7 3.080000-5 4.019286+7 3.090295-5 4.015547+7 3.162278-5 3.978623+7 3.198895-5 3.956224+7 3.260000-5 3.909733+7 3.311311-5 3.866575+7 3.350000-5 3.828695+7 3.427678-5 3.747763+7 3.450000-5 3.721868+7 3.548134-5 3.603057+7 3.650000-5 3.465566+7 3.672823-5 3.434033+7 3.770000-5 3.294594+7 3.801894-5 3.248228+7 3.900000-5 3.102722+7 3.950000-5 3.029026+7 4.027170-5 2.914658+7 4.073803-5 2.845969+7 4.168694-5 2.707777+7 4.220000-5 2.634579+7 4.315191-5 2.500930+7 4.400000-5 2.386237+7 4.415704-5 2.365039+7 4.500000-5 2.255653+7 4.623810-5 2.103380+7 4.677351-5 2.040036+7 4.841724-5 1.857242+7 4.900000-5 1.796323+7 5.011872-5 1.684498+7 5.069907-5 1.630179+7 5.150000-5 1.557375+7 5.370318-5 1.375109+7 5.432503-5 1.327894+7 5.688529-5 1.151924+7 5.754399-5 1.110885+7 5.774000-5 1.098863+7 5.774000-5 1.410043+7 5.830000-5 1.377766+7 5.890000-5 1.342496+7 5.970000-5 1.295128+7 6.025596-5 1.262097+7 6.070000-5 1.236115+7 6.095369-5 1.221059+7 6.165950-5 1.179950+7 6.180000-5 1.171996+7 6.309573-5 1.099949+7 6.400000-5 1.052097+7 6.456542-5 1.023122+7 6.650000-5 9.288034+6 6.760830-5 8.790435+6 6.800000-5 8.622903+6 6.839116-5 8.457149+6 6.900000-5 8.204340+6 7.161434-5 7.211222+6 7.244360-5 6.921749+6 7.328245-5 6.640476+6 7.334000-5 6.621719+6 7.334000-5 7.871169+6 7.380000-5 7.754256+6 7.420000-5 7.649890+6 7.480000-5 7.490856+6 7.500000-5 7.436193+6 7.550000-5 7.301380+6 7.585776-5 7.203382+6 7.620000-5 7.110294+6 7.673615-5 6.962771+6 7.700000-5 6.891053+6 7.810000-5 6.593327+6 7.852356-5 6.480413+6 7.920000-5 6.305734+6 8.000000-5 6.102674+6 8.035261-5 6.014933+6 8.128305-5 5.786652+6 8.171000-5 5.684886+6 8.187000-5 5.646558+6 8.187000-5 5.908084+6 8.210000-5 5.861167+6 8.250000-5 5.779518+6 8.290000-5 5.698530+6 8.335000-5 5.608275+6 8.350000-5 5.578320+6 8.380000-5 5.518090+6 8.413951-5 5.450244+6 8.430000-5 5.418282+6 8.511380-5 5.258484+6 8.549000-5 5.184124+6 8.549000-5 5.350548+6 8.570000-5 5.315059+6 8.600000-5 5.264232+6 8.610000-5 5.247297+6 8.655000-5 5.171112+6 8.700000-5 5.095994+6 8.709636-5 5.080012+6 8.730000-5 5.046010+6 8.755000-5 5.004109+6 8.810489-5 4.912397+6 8.870000-5 4.815287+6 8.912509-5 4.747153+6 8.950000-5 4.688278+6 9.000000-5 4.609999+6 9.015711-5 4.585230+6 9.040000-5 4.547379+6 9.120108-5 4.424891+6 9.150000-5 4.380183+6 9.270000-5 4.206124+6 9.300000-5 4.163973+6 9.332543-5 4.118373+6 9.400000-5 4.024799+6 9.440609-5 3.969634+6 9.549926-5 3.828030+6 9.660509-5 3.689972+6 9.720000-5 3.618048+6 9.900000-5 3.411869+6 9.950000-5 3.357885+6 1.011579-4 3.187227+6 1.023293-4 3.072937+6 1.030000-4 3.010301+6 1.040000-4 2.921366+6 1.047129-4 2.861104+6 1.059254-4 2.762472+6 1.071519-4 2.669622+6 1.080000-4 2.608166+6 1.083927-4 2.580789+6 1.084400-4 2.577599+6 1.084400-4 2.651084+6 1.100000-4 2.546773+6 1.104000-4 2.521693+6 1.109175-4 2.490106+6 1.122018-4 2.415412+6 1.128000-4 2.383161+6 1.135011-4 2.347092+6 1.140000-4 2.322337+6 1.143000-4 2.307822+6 1.150000-4 2.275721+6 1.161449-4 2.226708+6 1.163000-4 2.220489+6 1.170000-4 2.193222+6 1.180000-4 2.157020+6 1.188502-4 2.129163+6 1.190000-4 2.124490+6 1.202264-4 2.088882+6 1.205000-4 2.081622+6 1.216186-4 2.054478+6 1.220000-4 2.045681+6 1.223100-4 2.039160+6 1.230269-4 2.025409+6 1.244515-4 2.001007+6 1.258925-4 1.983836+6 1.270000-4 1.973179+6 1.273503-4 1.970532+6 1.290000-4 1.962571+6 1.300000-4 1.960680+6 1.303167-4 1.960453+6 1.318257-4 1.963750+6 1.330000-4 1.969651+6 1.350000-4 1.984542+6 1.364583-4 2.000795+6 1.380384-4 2.022575+6 1.396368-4 2.048519+6 1.428894-4 2.113018+6 1.430000-4 2.115503+6 1.450000-4 2.163366+6 1.480000-4 2.242868+6 1.496236-4 2.291026+6 1.500000-4 2.302758+6 1.520000-4 2.367121+6 1.548817-4 2.464546+6 1.560000-4 2.505068+6 1.566751-4 2.530278+6 1.584893-4 2.599555+6 1.600000-4 2.657786+6 1.621810-4 2.746275+6 1.640590-4 2.824764+6 1.650000-4 2.863974+6 1.659587-4 2.905013+6 1.678804-4 2.989718+6 1.698244-4 3.076798+6 1.720000-4 3.173573+6 1.732100-4 3.229253+6 1.737801-4 3.255937+6 1.740000-4 3.266318+6 1.760000-4 3.359478+6 1.778279-4 3.442923+6 1.798871-4 3.539620+6 1.800000-4 3.544826+6 1.820000-4 3.638840+6 1.840772-4 3.733274+6 1.844600-4 3.750976+6 1.850000-4 3.776122+6 1.876900-4 3.899130+6 1.883649-4 3.928704+6 1.890000-4 3.956817+6 1.905461-4 4.026093+6 1.927525-4 4.122794+6 1.930000-4 4.133773+6 1.950000-4 4.217669+6 1.972423-4 4.309573+6 1.990000-4 4.382918+6 2.000000-4 4.422029+6 2.018366-4 4.491026+6 2.041738-4 4.580289+6 2.051300-4 4.617122+6 2.060000-4 4.648282+6 2.065380-4 4.666483+6 2.089296-4 4.748175+6 2.113489-4 4.831781+6 2.120000-4 4.852920+6 2.162719-4 4.983541+6 2.187762-4 5.055013+6 2.213095-4 5.122393+6 2.230000-4 5.167603+6 2.238721-4 5.191023+6 2.260000-4 5.242670+6 2.264644-4 5.253028+6 2.290868-4 5.311691+6 2.300000-4 5.332183+6 2.317395-4 5.371329+6 2.330000-4 5.396643+6 2.344229-4 5.425278+6 2.371374-4 5.474972+6 2.400000-4 5.527323+6 2.430000-4 5.575708+6 2.483133-4 5.652725+6 2.511886-4 5.687974+6 2.570396-4 5.750374+6 2.580000-4 5.760553+6 2.600160-4 5.777584+6 2.630268-4 5.797829+6 2.660725-4 5.818256+6 2.691535-4 5.832321+6 2.730000-4 5.843503+6 2.754229-4 5.850521+6 2.770900-4 5.855332+6 2.800000-4 5.857097+6 2.884032-4 5.848812+6 2.900000-4 5.843962+6 2.917427-4 5.836150+6 2.951209-4 5.821233+6 3.000000-4 5.800009+6 3.019952-4 5.787916+6 3.054921-4 5.762259+6 3.090295-4 5.736669+6 3.100000-4 5.729711+6 3.126079-4 5.711154+6 3.150000-4 5.690672+6 3.159600-4 5.681447+6 3.159600-4 5.896334+6 3.198895-4 5.849223+6 3.200000-4 5.847902+6 3.235937-4 5.805444+6 3.265000-4 5.771835+6 3.280000-4 5.755130+6 3.295000-4 5.735251+6 3.305660-4 5.721550+6 3.311311-4 5.714316+6 3.325000-4 5.696906+6 3.331000-4 5.689539+6 3.331000-4 5.856329+6 3.349654-4 5.824557+6 3.355000-4 5.815935+6 3.365000-4 5.800350+6 3.380000-4 5.777877+6 3.385000-4 5.770675+6 3.400000-4 5.749844+6 3.415000-4 5.729842+6 3.427678-4 5.713583+6 3.430000-4 5.710695+6 3.450000-4 5.681891+6 3.480000-4 5.641273+6 3.490000-4 5.628174+6 3.507519-4 5.605924+6 3.530000-4 5.578256+6 3.540000-4 5.566326+6 3.565000-4 5.537401+6 3.580000-4 5.520595+6 3.589219-4 5.510548+6 3.600000-4 5.498854+6 3.630781-4 5.460631+6 3.640000-4 5.449492+6 3.680000-4 5.402754+6 3.711700-4 5.367098+6 3.715352-4 5.363070+6 3.720000-4 5.357953+6 3.760000-4 5.315114+6 3.780000-4 5.294395+6 3.820000-4 5.246679+6 3.845918-4 5.216799+6 3.890451-4 5.166687+6 3.935501-4 5.117321+6 3.981072-4 5.068934+6 4.000000-4 5.046270+6 4.027170-4 5.013888+6 4.073803-4 4.959751+6 4.120975-4 4.906664+6 4.168694-4 4.854166+6 4.200000-4 4.818781+6 4.265795-4 4.741833+6 4.280000-4 4.725676+6 4.315191-4 4.685978+6 4.365158-4 4.631183+6 4.415704-4 4.575322+6 4.430000-4 4.559802+6 4.570882-4 4.404447+6 4.623810-4 4.348945+6 4.677351-4 4.292295+6 4.700000-4 4.268906+6 4.731513-4 4.236421+6 4.841724-4 4.121693+6 4.850000-4 4.113389+6 4.897788-4 4.065499+6 5.000000-4 3.963207+6 5.011872-4 3.951724+6 5.069907-4 3.893394+6 5.120400-4 3.843790+6 5.120400-4 4.064713+6 5.188000-4 3.999437+6 5.248075-4 3.940842+6 5.308844-4 3.883079+6 5.400000-4 3.796686+6 5.450000-4 3.750506+6 5.500000-4 3.705217+6 5.559043-4 3.651920+6 5.623413-4 3.595682+6 5.650000-4 3.572673+6 5.688529-4 3.538508+6 5.821032-4 3.426130+6 5.850000-4 3.402028+6 5.956621-4 3.314383+6 6.025596-4 3.260116+6 6.041900-4 3.246949+6 6.041900-4 3.291899+6 6.095369-4 3.249472+6 6.100000-4 3.245845+6 6.165950-4 3.194472+6 6.200000-4 3.168470+6 6.280000-4 3.107824+6 6.309573-4 3.085821+6 6.350000-4 3.056242+6 6.382635-4 3.032462+6 6.456542-4 2.979904+6 6.500000-4 2.949693+6 6.531306-4 2.927787+6 6.606934-4 2.875733+6 6.683439-4 2.824257+6 6.760830-4 2.772992+6 6.839116-4 2.722534+6 6.918310-4 2.673218+6 6.930000-4 2.665821+6 7.000000-4 2.622248+6 7.079458-4 2.574343+6 7.122100-4 2.549118+6 7.122100-4 2.604131+6 7.150000-4 2.587711+6 7.244360-4 2.532657+6 7.300000-4 2.501097+6 7.413102-4 2.438450+6 7.498942-4 2.391577+6 7.673615-4 2.301139+6 7.800000-4 2.238011+6 8.035261-4 2.127694+6 8.100000-4 2.098377+6 8.128305-4 2.085608+6 8.222426-4 2.044082+6 8.413951-4 1.962285+6 8.511380-4 1.922885+6 8.609938-4 1.884025+6 8.700000-4 1.849674+6 8.709636-4 1.846035+6 8.810489-4 1.808150+6 8.912509-4 1.771053+6 9.015711-4 1.734465+6 9.225714-4 1.663286+6 9.332543-4 1.628751+6 9.440609-4 1.594550+6 9.500000-4 1.576260+6 9.549926-4 1.561164+6 9.850000-4 1.473148+6 1.011579-3 1.401483+6 1.023293-3 1.371376+6 1.030000-3 1.354590+6 1.035142-3 1.341803+6 1.047129-3 1.312646+6 1.059254-3 1.283753+6 1.071519-3 1.255593+6 1.083927-3 1.228136+6 1.096478-3 1.201097+6 1.110000-3 1.173016+6 1.122018-3 1.148585+6 1.135011-3 1.123083+6 1.161449-3 1.073669+6 1.170000-3 1.058238+6 1.190000-3 1.023483+6 1.202264-3 1.002954+6 1.216186-3 9.802374+5 1.224700-3 9.667511+5 1.230269-3 9.580903+5 1.244515-3 9.363225+5 1.258925-3 9.148841+5 1.273503-3 8.939738+5 1.333521-3 8.146846+5 1.350000-3 7.946658+5 1.364583-3 7.774304+5 1.380384-3 7.591689+5 1.412538-3 7.240150+5 1.428894-3 7.071215+5 1.462177-3 6.745405+5 1.479108-3 6.586913+5 1.496236-3 6.430137+5 1.513561-3 6.277221+5 1.548817-3 5.981802+5 1.584893-3 5.701830+5 1.603245-3 5.565418+5 1.621810-3 5.431457+5 1.650000-3 5.237144+5 1.678804-3 5.048465+5 1.698244-3 4.926525+5 1.730000-3 4.736838+5 1.737801-3 4.691555+5 1.757924-3 4.577073+5 1.778279-3 4.465547+5 1.800000-3 4.350738+5 1.840772-3 4.146939+5 1.862087-3 4.045720+5 1.883649-3 3.945838+5 1.927525-3 3.752624+5 1.972423-3 3.569556+5 1.995262-3 3.481502+5 2.041738-3 3.311694+5 2.065380-3 3.228831+5 2.070000-3 3.212939+5 2.113489-3 3.068596+5 2.129000-3 3.019475+5 2.129000-3 7.921816+5 2.137962-3 7.860873+5 2.187762-3 7.535545+5 2.212400-3 7.382336+5 2.212400-3 9.141348+5 2.220000-3 9.123137+5 2.238721-3 9.081266+5 2.278000-3 9.008202+5 2.290868-3 8.981559+5 2.317395-3 8.932597+5 2.330000-3 8.912093+5 2.345000-3 8.901498+5 2.380000-3 8.871850+5 2.400000-3 8.852527+5 2.430000-3 8.831451+5 2.450000-3 8.783407+5 2.454709-3 8.766617+5 2.480000-3 8.677989+5 2.484500-3 8.655052+5 2.500000-3 8.564821+5 2.511886-3 8.465643+5 2.520000-3 8.398791+5 2.540973-3 8.225387+5 2.600160-3 7.762082+5 2.636900-3 7.492750+5 2.636900-3 8.668446+5 2.660725-3 8.487934+5 2.691535-3 8.262194+5 2.722701-3 8.042496+5 2.730000-3 7.992000+5 2.754229-3 7.825588+5 2.786121-3 7.607999+5 2.800000-3 7.516004+5 2.818383-3 7.398871+5 2.851018-3 7.197281+5 2.870000-3 7.083556+5 2.884032-3 7.000334+5 2.917427-3 6.807806+5 2.951209-3 6.628930+5 3.019952-3 6.258770+5 3.022000-3 6.248309+5 3.022000-3 6.631289+5 3.022500-3 6.628678+5 3.022700-3 6.628451+5 3.054921-3 6.462507+5 3.090295-3 6.287280+5 3.126079-3 6.117055+5 3.150000-3 6.006991+5 3.162278-3 5.951437+5 3.190000-3 5.827908+5 3.198895-3 5.789382+5 3.235937-3 5.632633+5 3.260000-3 5.534053+5 3.273200-3 5.480769+5 3.273200-3 5.714519+5 3.273407-3 5.713674+5 3.311311-3 5.561838+5 3.349654-3 5.414236+5 3.388442-3 5.268207+5 3.400000-3 5.225827+5 3.427678-3 5.126008+5 3.467369-3 4.987743+5 3.507519-3 4.852604+5 3.548134-3 4.721158+5 3.570000-3 4.652549+5 3.630781-3 4.468744+5 3.650000-3 4.412793+5 3.672823-3 4.347627+5 3.715352-3 4.229880+5 3.758374-3 4.114781+5 3.801894-3 4.001987+5 3.845918-3 3.892191+5 3.900000-3 3.763277+5 3.935501-3 3.681935+5 3.981072-3 3.581234+5 4.000000-3 3.540565+5 4.073803-3 3.387044+5 4.120975-3 3.293511+5 4.168694-3 3.202565+5 4.216965-3 3.114281+5 4.265795-3 3.028366+5 4.315191-3 2.944959+5 4.365158-3 2.863969+5 4.400000-3 2.808975+5 4.415704-3 2.784481+5 4.466836-3 2.706767+5 4.570882-3 2.558162+5 4.623810-3 2.486885+5 4.677351-3 2.417668+5 4.731513-3 2.349542+5 4.786301-3 2.282985+5 4.800000-3 2.266774+5 4.841724-3 2.218370+5 4.954502-3 2.094847+5 5.011872-3 2.035587+5 5.128614-3 1.922334+5 5.188000-3 1.868234+5 5.248075-3 1.815712+5 5.308844-3 1.764701+5 5.370318-3 1.714853+5 5.432503-3 1.666437+5 5.559043-3 1.573641+5 5.623413-3 1.529262+5 5.754399-3 1.443156+5 5.821032-3 1.402039+5 5.888437-3 1.362006+5 6.025596-3 1.285095+5 6.095369-3 1.248372+5 6.165950-3 1.212575+5 6.237348-3 1.177666+5 6.309573-3 1.143775+5 6.456542-3 1.078820+5 6.531306-3 1.047814+5 6.800000-3 9.462860+4 6.839116-3 9.326494+4 6.918310-3 9.058065+4 7.000000-3 8.792747+4 7.079458-3 8.545132+4 7.161434-3 8.296828+4 7.244360-3 8.056098+4 7.328245-3 7.822073+4 7.413102-3 7.594987+4 7.498942-3 7.374600+4 7.585776-3 7.160931+4 7.673615-3 6.952982+4 7.762471-3 6.751389+4 7.800000-3 6.668315+4 7.943282-3 6.363523+4 8.000000-3 6.248321+4 8.035261-3 6.178203+4 8.128305-3 5.997844+4 8.413951-3 5.487581+4 8.511380-3 5.327724+4 8.609938-3 5.172100+4 8.810489-3 4.875007+4 8.912509-3 4.733209+4 9.015711-3 4.594149+4 9.120108-3 4.458825+4 9.225714-3 4.327562+4 9.440609-3 4.076800+4 9.549926-3 3.956860+4 9.660509-3 3.840233+4 9.885531-3 3.617663+4 1.000000-2 3.511436+4 1.011579-2 3.407960+4 1.035142-2 3.209906+4 1.047129-2 3.115090+4 1.059254-2 3.023103+4 1.071519-2 2.933575+4 1.083927-2 2.846778+4 1.109175-2 2.681042+4 1.122018-2 2.601955+4 1.135011-2 2.524795+4 1.156700-2 2.402373+4 1.156700-2 6.198414+4 1.172000-2 5.966797+4 1.174898-2 5.927486+4 1.188502-2 5.747476+4 1.202264-2 5.573023+4 1.230269-2 5.239533+4 1.244515-2 5.080434+4 1.273503-2 4.776777+4 1.285000-2 4.663295+4 1.288250-2 4.631443+4 1.300000-2 4.518478+4 1.318257-2 4.350268+4 1.331300-2 4.235265+4 1.331300-2 5.898866+4 1.333521-2 5.872372+4 1.348963-2 5.692308+4 1.365000-2 5.513278+4 1.380384-2 5.351128+4 1.386200-2 5.291529+4 1.386200-2 6.119985+4 1.396368-2 6.006861+4 1.410000-2 5.859765+4 1.412538-2 5.833220+4 1.428894-2 5.666188+4 1.445440-2 5.504059+4 1.447000-2 5.489096+4 1.462177-2 5.345384+4 1.480000-2 5.183340+4 1.485000-2 5.138792+4 1.500000-2 5.009701+4 1.513561-2 4.896865+4 1.531087-2 4.756267+4 1.540000-2 4.686866+4 1.548817-2 4.618890+4 1.566751-2 4.483411+4 1.584893-2 4.351972+4 1.603245-2 4.224456+4 1.621810-2 4.100762+4 1.640590-2 3.980790+4 1.659587-2 3.864247+4 1.678804-2 3.751207+4 1.698244-2 3.641930+4 1.717908-2 3.535167+4 1.737801-2 3.431538+4 1.757924-2 3.330999+4 1.778279-2 3.232784+4 1.798871-2 3.137441+4 1.819701-2 3.044968+4 1.840772-2 2.955280+4 1.900000-2 2.720308+4 1.905461-2 2.699953+4 1.949845-2 2.542205+4 1.950000-2 2.541677+4 1.972423-2 2.466403+4 2.000000-2 2.378061+4 2.018366-2 2.321659+4 2.041738-2 2.252572+4 2.065380-2 2.185573+4 2.089296-2 2.120597+4 2.113489-2 2.057594+4 2.162719-2 1.937200+4 2.187762-2 1.879743+4 2.213095-2 1.824028+4 2.238721-2 1.768944+4 2.317395-2 1.613578+4 2.344229-2 1.564945+4 2.371374-2 1.517797+4 2.398833-2 1.472105+4 2.426610-2 1.427817+4 2.454709-2 1.384885+4 2.483133-2 1.343279+4 2.511886-2 1.302956+4 2.540973-2 1.263839+4 2.570396-2 1.225634+4 2.600160-2 1.188534+4 2.660725-2 1.117745+4 2.691535-2 1.083989+4 2.754229-2 1.019546+4 2.786121-2 9.888095+3 2.800000-2 9.757423+3 2.818383-2 9.586758+3 2.851018-2 9.293901+3 2.884032-2 9.010186+3 2.917427-2 8.735312+3 2.951209-2 8.469037+3 2.985383-2 8.210638+3 3.054921-2 7.717280+3 3.090295-2 7.482118+3 3.126079-2 7.254185+3 3.162278-2 7.033305+3 3.198895-2 6.818691+3 3.235937-2 6.610740+3 3.311311-2 6.212101+3 3.349654-2 6.022107+3 3.388442-2 5.838064+3 3.427678-2 5.659645+3 3.467369-2 5.486611+3 3.500000-2 5.349711+3 3.589219-2 4.996955+3 3.630781-2 4.842545+3 3.672823-2 4.693018+3 3.715352-2 4.548154+3 3.758374-2 4.407840+3 3.845918-2 4.140362+3 3.935501-2 3.889478+3 3.981072-2 3.769725+3 4.027170-2 3.653749+3 4.073803-2 3.540985+3 4.120975-2 3.431670+3 4.168694-2 3.325805+3 4.265795-2 3.123935+3 4.315191-2 3.027749+3 4.365158-2 2.933570+3 4.415704-2 2.842343+3 4.466836-2 2.754007+3 4.570882-2 2.585660+3 4.623810-2 2.505401+3 4.731513-2 2.352334+3 4.786301-2 2.279425+3 4.800000-2 2.261686+3 4.897788-2 2.140320+3 5.000000-2 2.022892+3 5.011872-2 2.009770+3 5.128614-2 1.886422+3 5.188000-2 1.827667+3 5.248075-2 1.770759+3 5.308844-2 1.715480+3 5.370318-2 1.661962+3 5.500000-2 1.556322+3 5.623413-2 1.464182+3 5.688529-2 1.418594+3 5.754399-2 1.374158+3 5.888437-2 1.289481+3 6.095369-2 1.172324+3 6.165950-2 1.135728+3 6.309573-2 1.065972+3 6.382635-2 1.032678+3 6.500000-2 9.821035+2 6.606934-2 9.388533+2 6.683439-2 9.093289+2 6.760830-2 8.807336+2 6.839116-2 8.530226+2 6.918310-2 8.261948+2 6.998420-2 8.002261+2 7.079458-2 7.750888+2 7.161434-2 7.507544+2 7.328245-2 7.043949+2 7.413102-2 6.823132+2 7.498942-2 6.609359+2 7.585776-2 6.402381+2 7.762471-2 6.008020+2 7.861500-2 5.800137+2 7.861500-2 2.842489+3 8.035261-2 2.686648+3 8.128305-2 2.608039+3 8.222426-2 2.531742+3 8.317638-2 2.457672+3 8.413951-2 2.385781+3 8.511380-2 2.315974+3 8.709636-2 2.184882+3 8.800000-2 2.128567+3 8.810489-2 2.121895+3 9.015711-2 1.996963+3 9.225714-2 1.879417+3 9.332543-2 1.823203+3 9.440609-2 1.768677+3 9.660509-2 1.664487+3 9.772372-2 1.615298+3 9.885531-2 1.567557+3 1.011580-1 1.476277+3 1.059254-1 1.309420+3 1.071519-1 1.270753+3 1.083927-1 1.233231+3 1.109175-1 1.160213+3 1.122019-1 1.125304+3 1.135011-1 1.091452+3 1.148154-1 1.058619+3 1.174898-1 9.958968+2 1.216186-1 9.082857+2 1.244515-1 8.542039+2 1.258925-1 8.283883+2 1.273503-1 8.033532+2 1.318257-1 7.327100+2 1.364583-1 6.682979+2 1.380384-1 6.481147+2 1.396368-1 6.285223+2 1.412538-1 6.095218+2 1.428894-1 5.910986+2 1.462177-1 5.557095+2 1.479108-1 5.388196+2 1.548817-1 4.762493+2 1.566751-1 4.617777+2 1.584893-1 4.477468+2 1.603245-1 4.341431+2 1.621810-1 4.209534+2 1.640590-1 4.081653+2 1.678804-1 3.837458+2 1.698244-1 3.720913+2 1.717908-1 3.607923+2 1.737801-1 3.498365+2 1.798871-1 3.189321+2 1.800000-1 3.183968+2 1.819701-1 3.092579+2 1.840772-1 2.998781+2 1.862087-1 2.907834+2 1.905461-1 2.734143+2 1.972423-1 2.492901+2 2.000000-1 2.402041+2 2.018366-1 2.344049+2 2.041738-1 2.272991+2 2.065380-1 2.204101+2 2.089296-1 2.137307+2 2.113489-1 2.072541+2 2.137962-1 2.009741+2 2.187762-1 1.889850+2 2.213095-1 1.832644+2 2.238721-1 1.777174+2 2.264644-1 1.723384+2 2.290868-1 1.671223+2 2.317395-1 1.620644+2 2.344229-1 1.571599+2 2.398833-1 1.478830+2 2.426610-1 1.434524+2 2.454709-1 1.391551+2 2.483133-1 1.349868+2 2.511886-1 1.309452+2 2.540973-1 1.270257+2 2.570396-1 1.232276+2 2.600160-1 1.195450+2 2.630268-1 1.159728+2 2.691535-1 1.091463+2 2.786121-1 9.965354+1 2.800000-1 9.835772+1 2.818383-1 9.669934+1 2.851018-1 9.384940+1 2.884032-1 9.108476+1 2.985383-1 8.327088+1 3.054921-1 7.844049+1 3.090295-1 7.613179+1 3.126079-1 7.389110+1 3.162278-1 7.171708+1 3.198895-1 6.961049+1 3.235937-1 6.756596+1 3.273407-1 6.561381+1 3.311311-1 6.371817+1 3.388442-1 6.008982+1 3.427678-1 5.835400+1 3.467369-1 5.666923+1 3.507519-1 5.503316+1 3.589219-1 5.190190+1 3.630781-1 5.040392+1 3.672823-1 4.894988+1 3.715352-1 4.753786+1 3.758374-1 4.619019+1 3.801894-1 4.488309+1 3.845918-1 4.361320+1 3.890451-1 4.237929+1 4.000000-1 3.954646+1 4.027170-1 3.888520+1 4.073803-1 3.778650+1 4.120975-1 3.671889+1 4.216965-1 3.467342+1 4.265795-1 3.369385+1 4.315191-1 3.275981+1 4.365158-1 3.185175+1 4.415705-1 3.097078+1 4.466836-1 3.011483+1 4.518559-1 2.928302+1 4.570882-1 2.847430+1 4.623810-1 2.768796+1 4.841724-1 2.475397+1 4.897788-1 2.408414+1 4.954502-1 2.343278+1 5.011872-1 2.279983+1 5.069907-1 2.218531+1 5.248075-1 2.043992+1 5.308844-1 1.988922+1 5.432503-1 1.883195+1 5.495409-1 1.832459+1 5.559043-1 1.784255+1 5.623413-1 1.737350+1 5.688529-1 1.691704+1 5.754399-1 1.647366+1 5.821032-1 1.604197+1 5.888437-1 1.562160+1 5.956621-1 1.521225+1 6.025596-1 1.481364+1 6.095369-1 1.442547+1 6.165950-1 1.404771+1 6.237348-1 1.368801+1 6.309573-1 1.333751+1 6.382635-1 1.299624+1 6.456542-1 1.266372+1 6.531306-1 1.234051+1 6.606935-1 1.202560+1 6.760830-1 1.141970+1 6.839117-1 1.112848+1 6.918310-1 1.084489+1 6.998420-1 1.057472+1 7.079458-1 1.031133+1 7.161434-1 1.005451+1 7.244360-1 9.804233+0 7.328245-1 9.560194+0 7.413102-1 9.322865+0 7.498942-1 9.091464+0 7.585776-1 8.865939+0 7.762471-1 8.431789+0 7.943282-1 8.028085+0 8.000000-1 7.907295+0 8.035261-1 7.833544+0 8.128305-1 7.643719+0 8.222427-1 7.458603+0 8.413951-1 7.102884+0 8.511380-1 6.931441+0 8.609938-1 6.764162+0 8.709636-1 6.601087+0 8.912509-1 6.294405+0 9.015711-1 6.146452+0 9.120108-1 6.001979+0 9.225714-1 5.861006+0 9.332543-1 5.723801+0 9.440609-1 5.590026+0 9.549926-1 5.459431+0 9.660509-1 5.331889+0 9.772372-1 5.210735+0 9.885531-1 5.092362+0 1.000000+0 4.976764+0 1.011579+0 4.863909+0 1.022000+0 4.765661+0 1.023293+0 4.753682+0 1.035142+0 4.645979+0 1.047129+0 4.540968+0 1.059254+0 4.438357+0 1.071519+0 4.338145+0 1.096478+0 4.144448+0 1.109175+0 4.050937+0 1.122018+0 3.959543+0 1.135011+0 3.872159+0 1.148154+0 3.786722+0 1.161449+0 3.703221+0 1.174898+0 3.621561+0 1.188502+0 3.541759+0 1.202264+0 3.463932+0 1.216186+0 3.387870+0 1.230269+0 3.313496+0 1.244515+0 3.240768+0 1.250000+0 3.213416+0 1.258925+0 3.169679+0 1.273503+0 3.100158+0 1.303167+0 2.969283+0 1.318257+0 2.905933+0 1.333521+0 2.844029+0 1.364583+0 2.724507+0 1.380384+0 2.666664+0 1.412538+0 2.554698+0 1.445440+0 2.447436+0 1.479108+0 2.347487+0 1.496236+0 2.299074+0 1.500000+0 2.288652+0 1.513561+0 2.251838+0 1.531087+0 2.205610+0 1.566751+0 2.115996+0 1.584893+0 2.072569+0 1.603245+0 2.030035+0 1.678804+0 1.872637+0 1.698244+0 1.835237+0 1.717908+0 1.798724+0 1.737801+0 1.762969+0 1.798871+0 1.659936+0 1.819701+0 1.626953+0 1.840772+0 1.594625+0 1.862087+0 1.563678+0 1.883649+0 1.533333+0 1.949845+0 1.445783+0 1.972423+0 1.417810+0 1.995262+0 1.390397+0 2.000000+0 1.384818+0 2.018366+0 1.363538+0 2.065380+0 1.311385+0 2.089296+0 1.286061+0 2.113489+0 1.261231+0 2.187762+0 1.191627+0 2.213095+0 1.169293+0 2.238721+0 1.147478+0 2.264644+0 1.126097+0 2.317395+0 1.084530+0 2.344229+0 1.064327+0 2.371374+0 1.044503+0 2.483133+0 9.709677-1 2.511886+0 9.534106-1 2.540973+0 9.362459-1 2.570396+0 9.194111-1 2.630268+0 8.866520-1 2.660725+0 8.707128-1 2.691535+0 8.550627-1 2.851018+0 7.829646-1 2.884032+0 7.692931-1 2.917427+0 7.559128-1 2.951209+0 7.427784-1 3.054921+0 7.047358-1 3.090295+0 6.924931-1 3.126079+0 6.804648-1 3.162278+0 6.689597-1 3.349654+0 6.142886-1 3.388442+0 6.039379-1 3.427678+0 5.937805-1 3.548134+0 5.643281-1 3.589219+0 5.548391-1 3.630781+0 5.455109-1 3.672823+0 5.365907-1 3.890451+0 4.941307-1 3.935501+0 4.860787-1 4.000000+0 4.749529-1 4.120975+0 4.552221-1 4.168694+0 4.478195-1 4.216965+0 4.405386-1 4.265795+0 4.335694-1 4.570882+0 3.940095-1 4.623810+0 3.877978-1 4.677351+0 3.816953-1 4.841724+0 3.639617-1 4.897788+0 3.582356-1 4.954502+0 3.526005-1 5.011872+0 3.472047-1 5.370318+0 3.165203-1 5.495409+0 3.069386-1 5.559043+0 3.022655-1 5.754399+0 2.886717-1 5.821032+0 2.842776-1 5.888437+0 2.799511-1 5.956621+0 2.758051-1 6.382635+0 2.521869-1 6.531306+0 2.447966-1 6.606934+0 2.411892-1 6.918310+0 2.272862-1 7.000000+0 2.238724-1 7.079458+0 2.206387-1 7.161434+0 2.174691-1 7.762471+0 1.965208-1 7.943282+0 1.909331-1 8.035261+0 1.882039-1 8.317638+0 1.802498-1 8.413951+0 1.776739-1 8.511380+0 1.751352-1 8.609938+0 1.726971-1 9.332543+0 1.565553-1 9.549926+0 1.522407-1 9.660509+0 1.501295-1 9.772372+0 1.480501-1 1.011579+1 1.419831-1 1.023293+1 1.400165-1 1.035142+1 1.380775-1 1.047129+1 1.362054-1 1.188502+1 1.172153-1 1.200000+1 1.158849-1 1.202264+1 1.156272-1 1.216186+1 1.140651-1 1.230269+1 1.125253-1 1.244515+1 1.110082-1 1.258925+1 1.095117-1 1.548817+1 8.626977-2 1.566751+1 8.513406-2 1.584893+1 8.401633-2 1.600000+1 8.310682-2 1.603245+1 8.291397-2 1.621810+1 8.182717-2 1.640590+1 8.077852-2 2.000000+1 6.470182-2 2.018366+1 6.404262-2 2.041738+1 6.322390-2 2.089296+1 6.161853-2 2.113489+1 6.083199-2 2.137962+1 6.007124-2 2.162719+1 5.931998-2 2.660725+1 4.729584-2 2.691535+1 4.670438-2 2.754229+1 4.554613-2 2.786121+1 4.497783-2 2.818383+1 4.441687-2 2.851018+1 4.386298-2 2.884032+1 4.331642-2 2.917427+1 4.278690-2 2.951209+1 4.226385-2 3.000000+1 4.152991-2 3.672823+1 3.345610-2 3.715352+1 3.304712-2 3.801894+1 3.224562-2 3.890451+1 3.146356-2 3.981072+1 3.070073-2 4.000000+1 3.054592-2 4.027170+1 3.032638-2 4.073803+1 2.995677-2 4.168694+1 2.924183-2 4.216965+1 2.889079-2 4.315191+1 2.820130-2 5.432503+1 2.214960-2 5.495409+1 2.188416-2 5.623413+1 2.136282-2 5.688529+1 2.110682-2 5.821032+1 2.060416-2 5.888437+1 2.035741-2 5.956621+1 2.011371-2 6.000000+1 1.996163-2 6.025596+1 1.987294-2 6.095369+1 1.963819-2 6.237348+1 1.917699-2 6.456542+1 1.850541-2 8.609938+1 1.374943-2 8.709636+1 1.358702-2 8.810489+1 1.342676-2 8.912509+1 1.326838-2 9.120108+1 1.295730-2 9.225714+1 1.280455-2 9.332543+1 1.265363-2 9.549926+1 1.236009-2 9.660509+1 1.221588-2 1.000000+2 1.179327-2 1.717908+2 6.793322-3 1.737801+2 6.714136-3 1.757924+2 6.635876-3 1.778279+2 6.558547-3 1.798871+2 6.482128-3 1.819701+2 6.406617-3 1.862087+2 6.259353-3 1.905461+2 6.115471-3 3.427678+2 3.379836-3 3.467369+2 3.340790-3 3.507519+2 3.302196-3 3.548134+2 3.264053-3 3.589219+2 3.226356-3 3.630781+2 3.189098-3 3.715352+2 3.116244-3 3.801894+2 3.045053-3 1.364583+3 8.444407-4 1.380384+3 8.347426-4 1.396368+3 8.251560-4 1.412538+3 8.156795-4 1.428894+3 8.063131-4 1.445440+3 7.970546-4 1.479108+3 7.789038-4 1.513561+3 7.611658-4 4.315191+4 2.665806-5 4.365158+4 2.635280-5 4.415704+4 2.605102-5 4.466836+4 2.575271-5 4.518559+4 2.545781-5 1.000000+5 1.149998-5 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 8.070000-6 8.070000-6 9.540000-6 8.070000-6 9.540000-6 9.244797-6 1.102000-5 9.383495-6 1.102000-5 9.877379-6 1.370000-5 9.965403-6 1.972423-5 1.004852-5 3.672823-5 1.015881-5 5.774000-5 1.019167-5 5.774000-5 2.068504-5 5.830000-5 2.097051-5 5.890000-5 2.122099-5 5.970000-5 2.148488-5 6.095369-5 2.178777-5 6.180000-5 2.195786-5 6.400000-5 2.224764-5 6.650000-5 2.248317-5 7.161434-5 2.276034-5 7.334000-5 2.283174-5 7.334000-5 3.084929-5 7.420000-5 3.145011-5 7.550000-5 3.216161-5 7.700000-5 3.280310-5 7.920000-5 3.353835-5 8.187000-5 3.422941-5 8.187000-5 3.633826-5 8.380000-5 3.728787-5 8.549000-5 3.797405-5 8.549000-5 3.945199-5 8.755000-5 4.063524-5 9.150000-5 4.246633-5 9.900000-5 4.541036-5 1.071519-4 4.861305-5 1.084400-4 4.916200-5 1.084400-4 5.080512-5 1.128000-4 5.277535-5 1.180000-4 5.555095-5 1.230269-4 5.862675-5 1.350000-4 6.640413-5 1.396368-4 6.910637-5 1.450000-4 7.180124-5 1.500000-4 7.387481-5 1.566751-4 7.604526-5 1.640590-4 7.779223-5 1.720000-4 7.910025-5 1.820000-4 8.017831-5 1.972423-4 8.109785-5 2.213095-4 8.171724-5 2.691535-4 8.202269-5 3.159600-4 8.199625-5 3.159600-4 8.447022-5 3.331000-4 8.407506-5 3.331000-4 8.607196-5 3.450000-4 8.562843-5 3.640000-4 8.573513-5 4.027170-4 8.702818-5 5.120400-4 9.178439-5 5.120400-4 9.802913-5 6.041900-4 1.026111-4 6.041900-4 1.042834-4 7.122100-4 1.091627-4 7.122100-4 1.123722-4 8.413951-4 1.178532-4 9.850000-4 1.230957-4 1.170000-3 1.286934-4 1.364583-3 1.335750-4 1.603245-3 1.385358-4 1.883649-3 1.432812-4 2.129000-3 1.467438-4 2.129000-3 2.135638-4 2.212400-3 2.145418-4 2.212400-3 2.231524-4 2.454709-3 2.299802-4 2.520000-3 2.306100-4 2.636900-3 2.306085-4 2.636900-3 2.483653-4 3.022000-3 2.507242-4 3.022000-3 2.591317-4 3.273200-3 2.612358-4 3.273200-3 2.694684-4 4.265795-3 2.790015-4 5.623413-3 2.892891-4 7.244360-3 2.988157-4 9.225714-3 3.077860-4 1.156700-2 3.159601-4 1.156700-2 4.045468-4 1.331300-2 4.057954-4 1.331300-2 4.246949-4 1.386200-2 4.250217-4 1.386200-2 4.558300-4 1.972423-2 4.679161-4 2.786121-2 4.799523-4 3.845918-2 4.911252-4 5.248075-2 5.017412-4 7.161434-2 5.118222-4 7.861500-2 5.147143-4 7.861500-2 4.708541-4 1.972423-1 4.738290-4 5.432503-1 4.756861-4 1.000000+5 4.760411-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.070000-6 0.0 3.331000-4 0.0 3.331000-4 1.273386-9 3.349654-4 1.211062-9 3.365000-4 1.169295-9 3.380000-4 1.134387-9 3.400000-4 1.095839-9 3.430000-4 1.049593-9 3.450000-4 1.025272-9 3.480000-4 9.96279-10 3.507519-4 9.76123-10 3.540000-4 9.59413-10 3.565000-4 9.51403-10 3.600000-4 9.46669-10 3.640000-4 9.50390-10 3.680000-4 9.60691-10 3.720000-4 9.76401-10 3.760000-4 9.96562-10 3.820000-4 1.035143-9 3.890451-4 1.089592-9 4.000000-4 1.186515-9 4.120975-4 1.303702-9 4.265795-4 1.451671-9 4.365158-4 1.559103-9 4.430000-4 1.632108-9 4.570882-4 1.796624-9 4.897788-4 2.192025-9 5.120400-4 2.456039-9 5.120400-4 4.633027-9 6.041900-4 5.992707-9 6.041900-4 7.011294-9 6.500000-4 7.723167-9 7.122100-4 8.636231-9 7.122100-4 1.007976-8 8.035261-4 1.147732-8 8.810489-4 1.257992-8 9.850000-4 1.395817-8 1.083927-3 1.513046-8 1.202264-3 1.641927-8 1.273503-3 1.714993-8 1.428894-3 1.857603-8 1.584893-3 1.986420-8 1.778279-3 2.129021-8 1.995262-3 2.270523-8 2.129000-3 2.349121-8 2.129000-3 2.276889-8 2.212400-3 2.293978-8 2.212400-3 1.018100-5 2.238721-3 1.082131-5 2.278000-3 1.181789-5 2.330000-3 1.306454-5 2.345000-3 1.348515-5 2.380000-3 1.441515-5 2.430000-3 1.568520-5 2.450000-3 1.603930-5 2.480000-3 1.641892-5 2.500000-3 1.648007-5 2.636900-3 1.645522-5 2.636900-3 1.581475-5 2.917427-3 1.567764-5 2.951209-3 1.571158-5 3.022000-3 1.562358-5 3.022000-3 1.726161-5 3.273200-3 1.731229-5 3.273200-3 1.749013-5 4.120975-3 1.767046-5 5.432503-3 1.786201-5 7.762471-3 1.810167-5 1.156700-2 1.835480-5 1.156700-2 1.865384-3 1.188502-2 1.860206-3 1.331300-2 1.851307-3 1.331300-2 2.588845-3 1.386200-2 2.588808-3 1.386200-2 2.695397-3 1.840772-2 2.723424-3 2.818383-2 2.742485-3 5.188000-2 2.746792-3 7.861500-2 2.741897-3 7.861500-2 5.550541-2 9.440609-2 5.595418-2 1.216186-1 5.643523-2 1.800000-1 5.689109-2 3.467369-1 5.727547-2 8.511380-1 5.773028-2 1.380384+0 5.780489-2 1.000000+5 5.778217-2 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.070000-6 0.0 9.540000-6 1.470000-6 9.540000-6 2.952032-7 9.700000-6 4.360682-7 1.000000-5 7.031335-7 1.059254-5 1.240881-6 1.102000-5 1.636505-6 1.102000-5 1.142621-6 1.180000-5 1.890783-6 1.288250-5 2.937992-6 1.500000-5 5.008586-6 2.270000-5 1.262695-5 4.677351-5 3.659133-5 5.774000-5 4.754833-5 5.774000-5 3.705496-5 5.890000-5 3.767901-5 6.070000-5 3.896160-5 6.309573-5 4.094514-5 6.800000-5 4.543291-5 7.334000-5 5.050826-5 7.334000-5 4.249071-5 7.480000-5 4.299423-5 7.700000-5 4.419690-5 8.000000-5 4.624495-5 8.187000-5 4.764059-5 8.187000-5 4.553174-5 8.430000-5 4.680201-5 8.549000-5 4.751595-5 8.549000-5 4.603801-5 8.755000-5 4.691476-5 9.150000-5 4.903367-5 9.950000-5 5.389564-5 1.080000-4 5.902852-5 1.084400-4 5.927800-5 1.084400-4 5.763488-5 1.135011-4 6.037679-5 1.190000-4 6.286435-5 1.244515-4 6.490556-5 1.350000-4 6.859587-5 1.396368-4 7.053043-5 1.450000-4 7.319876-5 1.500000-4 7.612519-5 1.566751-4 8.062984-5 1.640590-4 8.626677-5 1.737801-4 9.444781-5 1.850000-4 1.045844-4 2.051300-4 1.237552-4 2.511886-4 1.692156-4 3.159600-4 2.339637-4 3.159600-4 2.314898-4 3.331000-4 2.490249-4 3.331000-4 2.470268-4 3.589219-4 2.732742-4 4.677351-4 3.778955-4 5.120400-4 4.202532-4 5.120400-4 4.140062-4 6.041900-4 5.015729-4 6.041900-4 4.998996-4 7.122100-4 6.030387-4 7.122100-4 5.998277-4 1.096478-3 9.698814-4 1.840772-3 1.698142-3 2.129000-3 1.982233-3 2.129000-3 1.915414-3 2.212400-3 1.997836-3 2.212400-3 1.979067-3 2.520000-3 2.272899-3 2.636900-3 2.389836-3 2.636900-3 2.372720-3 3.022000-3 2.755652-3 3.022000-3 2.745607-3 3.273200-3 2.994652-3 3.273200-3 2.986242-3 9.549926-3 9.222617-3 1.156700-2 1.123269-2 1.156700-2 9.297069-3 1.331300-2 1.105590-2 1.331300-2 1.029946-2 1.386200-2 1.084817-2 1.386200-2 1.071077-2 2.818383-2 2.496101-2 7.861500-2 7.535839-2 7.861500-2 2.263873-2 9.015711-2 3.381705-2 1.174898-1 6.063142-2 1.905461-1 1.331374-1 2.371374+0 2.313121+0 1.000000+5 9.999994+4 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 7.861500-2 2.262475+3 8.511380-2 1.850755+3 8.800000-2 1.704490+3 9.660509-2 1.337227+3 1.083927-1 9.955549+2 1.174898-1 8.059323+2 1.428894-1 4.807679+2 2.344229-1 1.287865+2 2.800000-1 8.073920+1 3.235937-1 5.554370+1 3.715352-1 3.913460+1 4.265795-1 2.777461+1 4.841724-1 2.042824+1 5.495409-1 1.513932+1 6.165950-1 1.161855+1 6.918310-1 8.979035+0 7.762471-1 6.988516+0 8.709636-1 5.476704+0 9.660509-1 4.427152+0 1.122018+0 3.289370+0 1.273503+0 2.575302+0 1.445440+0 2.032610+0 1.603245+0 1.685708+0 1.840772+0 1.324140+0 2.113489+0 1.047257+0 2.371374+0 8.672584-1 2.691535+0 7.099388-1 3.126079+0 5.649643-1 3.630781+0 4.529157-1 4.216965+0 3.657585-1 4.954502+0 2.927501-1 5.888437+0 2.324328-1 7.079458+0 1.831862-1 8.511380+0 1.454087-1 1.035142+1 1.146399-1 1.258925+1 9.093014-2 1.621810+1 6.794385-2 2.113489+1 5.051034-2 2.884032+1 3.596614-2 4.073803+1 2.487370-2 6.025596+1 1.650078-2 9.332543+1 1.050697-2 1.819701+2 5.319834-3 3.630781+2 2.648120-3 1.445440+3 6.618556-4 1.000000+5 9.549400-6 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 7.861500-2 4.596100-4 1.000000+5 4.596100-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 7.861500-2 6.903200-2 1.000000+5 6.903200-2 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 7.861500-2 9.123390-3 1.000000+5 9.999993+4 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.386200-2 8.284555+3 1.410000-2 8.027705+3 1.447000-2 7.690320+3 1.485000-2 7.339620+3 1.540000-2 6.920720+3 1.678804-2 5.922461+3 1.840772-2 5.040694+3 2.213095-2 3.561407+3 2.786121-2 2.254398+3 3.162278-2 1.733803+3 3.589219-2 1.327870+3 4.315191-2 8.889616+2 5.000000-2 6.389260+2 5.688529-2 4.756485+2 6.606934-2 3.354151+2 7.762471-2 2.284475+2 9.225714-2 1.501736+2 1.109175-1 9.523851+1 1.380384-1 5.498162+1 2.540973-1 1.163685+1 3.162278-1 6.711163+0 3.758374-1 4.377117+0 4.365158-1 3.043825+0 5.011872-1 2.193725+0 5.688529-1 1.635952+0 6.456542-1 1.228553+0 7.328245-1 9.294909-1 8.222427-1 7.263536-1 9.225714-1 5.717379-1 1.035142+0 4.534971-1 1.188502+0 3.458276-1 1.333521+0 2.777026-1 1.500000+0 2.234723-1 1.698244+0 1.791797-1 1.949845+0 1.412030-1 2.213095+0 1.142405-1 2.511886+0 9.316084-2 2.884032+0 7.517405-2 3.349654+0 6.002768-2 3.890451+0 4.828898-2 4.570882+0 3.850257-2 5.370318+0 3.092929-2 6.382635+0 2.464333-2 7.762471+0 1.920445-2 9.332543+0 1.529849-2 1.200000+1 1.132500-2 1.566751+1 8.322696-3 2.018366+1 6.260646-3 2.691535+1 4.565133-3 3.715352+1 3.229958-3 5.432503+1 2.164767-3 8.709636+1 1.328228-3 1.717908+2 6.641873-4 3.427678+2 3.304913-4 1.364583+3 8.257707-5 4.315191+4 2.606294-6 1.000000+5 1.124700-6 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.386200-2 6.526100-4 1.000000+5 6.526100-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.386200-2 3.376200-3 1.000000+5 3.376200-3 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.386200-2 9.833190-3 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.331300-2 1.663601+4 1.365000-2 1.556974+4 1.480000-2 1.270800+4 1.757924-2 8.135600+3 1.950000-2 6.167700+3 2.540973-2 2.990100+3 3.235937-2 1.510800+3 4.027170-2 8.035900+2 5.011872-2 4.228700+2 6.309573-2 2.131400+2 8.222426-2 9.617600+1 1.428894-1 1.812152+1 1.800000-1 9.085286+0 2.187762-1 5.104432+0 2.570396-1 3.192890+0 2.985383-1 2.080411+0 3.427678-1 1.411177+0 3.890451-1 9.957018-1 4.415705-1 7.078782-1 4.954502-1 5.228938-1 5.559043-1 3.891214-1 6.165950-1 3.003056-1 6.839117-1 2.333809-1 7.585776-1 1.826174-1 8.609938-1 1.362786-1 9.332543-1 1.138695-1 1.000000+0 9.827299-2 1.096478+0 8.147270-2 1.202264+0 6.800129-2 1.318257+0 5.715193-2 1.479108+0 4.636214-2 1.717908+0 3.555820-2 2.000000+0 2.737059-2 2.238721+0 2.268155-2 2.540973+0 1.851048-2 2.917427+0 1.495059-2 3.388442+0 1.194536-2 3.935501+0 9.614654-3 4.623810+0 7.670417-3 5.495409+0 6.070851-3 6.531306+0 4.841735-3 7.943282+0 3.776595-3 9.660509+0 2.969621-3 1.230269+1 2.226524-3 1.584893+1 1.662650-3 2.041738+1 1.251063-3 2.786121+1 8.900097-4 3.890451+1 6.225825-4 5.688529+1 4.176340-4 8.912509+1 2.625670-4 1.757924+2 1.313352-4 3.507519+2 6.536075-5 1.396368+3 1.633346-5 4.415704+4 5.155228-7 1.000000+5 2.276400-7 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.331300-2 4.728100-4 1.000000+5 4.728100-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.331300-2 4.466500-3 1.000000+5 4.466500-3 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.331300-2 8.373690-3 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.156700-2 3.796041+4 1.172000-2 3.645743+4 1.285000-2 2.839868+4 1.548817-2 1.690640+4 1.698244-2 1.299847+4 2.213095-2 6.019310+3 2.800000-2 2.975712+3 3.500000-2 1.502688+3 4.315191-2 7.822590+2 5.248075-2 4.211988+2 6.500000-2 2.123320+2 8.413951-2 9.215147+1 1.428894-1 1.645096+1 1.800000-1 7.807516+0 2.137962-1 4.512473+0 2.483133-1 2.821633+0 2.851018-1 1.842737+0 3.235937-1 1.256261+0 3.630781-1 8.930883-1 4.027170-1 6.612257-1 4.466836-1 4.928114-1 4.954502-1 3.698743-1 5.495409-1 2.797648-1 6.095369-1 2.132407-1 6.760830-1 1.638118-1 7.498942-1 1.268515-1 8.222427-1 1.017512-1 9.332543-1 7.582592-2 9.885531-1 6.672280-2 1.059254+0 5.767833-2 1.148154+0 4.904881-2 1.250000+0 4.166238-2 1.380384+0 3.471765-2 1.717908+0 2.355157-2 1.995262+0 1.819615-2 2.238721+0 1.501844-2 2.540973+0 1.225551-2 2.917427+0 9.897013-3 3.388442+0 7.907432-3 3.935501+0 6.364694-3 4.623810+0 5.077694-3 5.495409+0 4.018816-3 6.531306+0 3.205194-3 7.943282+0 2.500010-3 9.660509+0 1.965795-3 1.230269+1 1.473883-3 1.603245+1 1.086295-3 2.089296+1 8.073077-4 2.851018+1 5.746711-4 4.000000+1 4.001900-4 5.821032+1 2.699159-4 9.120108+1 1.697601-4 1.778279+2 8.593119-5 3.548134+2 4.276905-5 1.412538+3 1.068832-5 1.000000+5 1.506900-7 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.156700-2 4.606100-4 1.000000+5 4.606100-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.156700-2 3.034300-3 1.000000+5 3.034300-3 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.156700-2 8.072090-3 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 3.273200-3 2.337494+4 3.467369-3 2.200942+4 3.758374-3 1.970541+4 4.000000-3 1.816090+4 4.216965-3 1.681285+4 5.432503-3 1.150881+4 5.821032-3 1.031215+4 7.244360-3 7.170754+3 8.128305-3 5.866726+3 9.440609-3 4.495365+3 1.135011-2 3.198908+3 1.300000-2 2.470800+3 1.500000-2 1.871284+3 1.778279-2 1.333244+3 2.113489-2 9.368126+2 2.511886-2 6.526621+2 2.951209-2 4.622478+2 3.467369-2 3.249923+2 4.073803-2 2.268705+2 4.800000-2 1.562307+2 5.688529-2 1.053410+2 6.760830-2 7.002466+1 8.035261-2 4.622013+1 9.772372-2 2.860011+1 1.216186-1 1.659122+1 1.548817-1 9.022061+0 2.511886-1 2.640176+0 3.126079-1 1.524258+0 3.715352-1 9.945899-1 4.265795-1 7.113016-1 4.897788-1 5.121891-1 5.623413-1 3.715999-1 6.309573-1 2.862793-1 7.161434-1 2.164445-1 8.128305-1 1.648685-1 9.120108-1 1.295526-1 1.011579+0 1.050099-1 1.174898+0 7.821595-2 1.318257+0 6.276701-2 1.496236+0 4.965835-2 1.698244+0 3.964219-2 1.972423+0 3.063240-2 2.213095+0 2.526422-2 2.511886+0 2.060228-2 2.884032+0 1.662809-2 3.388442+0 1.305458-2 3.935501+0 1.050738-2 4.623810+0 8.382785-3 5.495409+0 6.634715-3 6.531306+0 5.291451-3 7.943282+0 4.127398-3 9.549926+0 3.290977-3 1.216186+1 2.466131-3 1.600000+1 1.797500-3 2.089296+1 1.332754-3 2.851018+1 9.487297-4 4.027170+1 6.559680-4 5.888437+1 4.403065-4 9.225714+1 2.769816-4 1.798871+2 1.402200-4 3.589219+2 6.979466-5 1.428894+3 1.744324-5 4.518559+4 5.505715-7 1.000000+5 2.487800-7 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 3.273200-3 4.625000-4 1.000000+5 4.625000-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.273200-3 2.166000-5 1.000000+5 2.166000-5 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.273200-3 2.789040-3 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 3.022000-3 3.829800+4 3.022500-3 3.829185+4 3.022700-3 3.837116+4 3.150000-3 3.654280+4 3.190000-3 3.593820+4 3.260000-3 3.516000+4 3.570000-3 3.149280+4 3.801894-3 2.893364+4 4.216965-3 2.492578+4 4.570882-3 2.210763+4 4.954502-3 1.946387+4 5.308844-3 1.734551+4 6.309573-3 1.276483+4 6.800000-3 1.110908+4 7.800000-3 8.500360+3 8.511380-3 7.134293+3 9.549926-3 5.608350+3 1.059254-2 4.493558+3 1.202264-2 3.393455+3 1.333521-2 2.681891+3 1.531087-2 1.941528+3 1.717908-2 1.472653+3 1.950000-2 1.078986+3 2.238721-2 7.625491+2 2.570396-2 5.345572+2 2.951209-2 3.719774+2 3.388442-2 2.570566+2 3.935501-2 1.710061+2 4.623810-2 1.093980+2 5.500000-2 6.708860+1 6.683439-2 3.842095+1 8.413951-2 1.970444+1 1.135011-1 8.193817+0 1.737801-1 2.343554+0 2.041738-1 1.466128+0 2.630268-1 7.101619-1 3.054921-1 4.658808-1 3.507519-1 3.178446-1 4.000000-1 2.225155-1 4.518559-1 1.609670-1 5.069907-1 1.193593-1 5.688529-1 8.913847-2 6.309573-1 6.899839-2 6.998420-1 5.376781-2 7.762471-1 4.218877-2 8.709636-1 3.243632-2 9.440609-1 2.716595-2 1.022000+0 2.298465-2 1.122018+0 1.904086-2 1.230269+0 1.592839-2 1.364583+0 1.312670-2 1.566751+0 1.023170-2 1.798871+0 8.027708-3 2.089296+0 6.219640-3 2.344229+0 5.147957-3 2.660725+0 4.212378-3 3.090295+0 3.351118-3 3.589219+0 2.684936-3 4.168694+0 2.167091-3 4.897788+0 1.733587-3 5.821032+0 1.375634-3 7.000000+0 1.083400-3 8.413951+0 8.598128-4 1.023293+1 6.776075-4 1.258925+1 5.300916-4 1.621810+1 3.960911-4 2.113489+1 2.944593-4 2.884032+1 2.096769-4 4.073803+1 1.450047-4 5.956621+1 9.735537-5 9.332543+1 6.125299-5 1.819701+2 3.101332-5 3.630781+2 1.543813-5 1.445440+3 3.858383-6 1.000000+5 5.567000-8 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 3.022000-3 3.963000-4 1.000000+5 3.963000-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.022000-3 4.398600-5 1.000000+5 4.398600-5 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.022000-3 2.581714-3 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.636900-3 1.175696+5 2.730000-3 1.126757+5 2.754229-3 1.112507+5 2.800000-3 1.081196+5 2.870000-3 1.044240+5 3.162278-3 8.963990+4 3.400000-3 7.933760+4 4.000000-3 5.975440+4 4.365158-3 5.095490+4 4.677351-3 4.463485+4 5.623413-3 3.098427+4 6.095369-3 2.620828+4 7.079458-3 1.903122+4 7.762471-3 1.552224+4 8.912509-3 1.133975+4 1.000000-2 8.654640+3 1.122018-2 6.566442+3 1.288250-2 4.669679+3 1.445440-2 3.489809+3 1.640590-2 2.515912+3 1.900000-2 1.705700+3 2.213095-2 1.127615+3 2.570396-2 7.442330+2 2.985383-2 4.869078+2 3.427678-2 3.266711+2 3.935501-2 2.176895+2 4.570882-2 1.392540+2 5.370318-2 8.542834+1 6.382635-2 5.021815+1 7.762471-2 2.728059+1 9.885531-2 1.272455+1 1.678804-1 2.366695+0 2.065380-1 1.233630+0 2.426610-1 7.479835-1 2.786121-1 4.903829-1 3.162278-1 3.352334-1 3.589219-1 2.308843-1 4.027170-1 1.657123-1 4.466836-1 1.237773-1 4.954502-1 9.307840-2 5.495409-1 7.050375-2 6.095369-1 5.380026-2 6.760830-1 4.136845-2 7.498942-1 3.205493-2 8.609938-1 2.301693-2 9.225714-1 1.962375-2 9.772372-1 1.727830-2 1.047129+0 1.494419-2 1.135011+0 1.270232-2 1.244515+0 1.062904-2 1.380384+0 8.778862-3 1.678804+0 6.196458-3 1.949845+0 4.782064-3 2.187762+0 3.941395-3 2.483133+0 3.211776-3 2.851018+0 2.590459-3 3.349654+0 2.032642-3 3.890451+0 1.635156-3 4.570882+0 1.303777-3 5.370318+0 1.047304-3 6.382635+0 8.344485-4 7.762471+0 6.502707-4 9.332543+0 5.180257-4 1.200000+1 3.834800-4 1.566751+1 2.818176-4 2.018366+1 2.119943-4 2.691535+1 1.545788-4 3.715352+1 1.093635-4 5.495409+1 7.242720-5 8.709636+1 4.497500-5 1.737801+2 2.222906-5 3.467369+2 1.106174-5 1.380384+3 2.764100-6 4.365158+4 8.724117-8 1.000000+5 3.808300-8 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.636900-3 3.615300-4 1.000000+5 3.615300-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.636900-3 1.173300-5 1.000000+5 1.173300-5 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.636900-3 2.263637-3 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.212400-3 1.759012+5 2.278000-3 2.012698+5 2.330000-3 2.201673+5 2.345000-3 2.269977+5 2.380000-3 2.418704+5 2.430000-3 2.620153+5 2.450000-3 2.664813+5 2.480000-3 2.695230+5 2.484500-3 2.692263+5 2.500000-3 2.669999+5 2.520000-3 2.619953+5 2.722701-3 2.148318+5 2.917427-3 1.793000+5 2.951209-3 1.748270+5 3.019952-3 1.635849+5 3.349654-3 1.236307+5 3.715352-3 9.269923+4 4.073803-3 7.130332+4 4.677351-3 4.769384+4 5.308844-3 3.256848+4 5.888437-3 2.375368+4 6.839116-3 1.486939+4 7.585776-3 1.069324+4 8.912509-3 6.333771+3 1.011579-2 4.159831+3 1.135011-2 2.823142+3 1.318257-2 1.690591+3 1.531087-2 1.003042+3 1.778279-2 5.900806+2 2.065380-2 3.443636+2 2.426610-2 1.912230+2 2.884032-2 1.009182+2 3.427678-2 5.282662+1 4.168694-2 2.515278+1 5.188000-2 1.088358+1 1.071519-1 6.616784-1 1.318257-1 2.992690-1 1.603245-1 1.425378-1 1.862087-1 8.138220-2 2.187762-1 4.485658-2 2.454709-1 2.951795-2 2.691535-1 2.125555-2 3.235937-1 1.117451-2 3.630781-1 7.532567-3 4.027170-1 5.319071-3 4.466836-1 3.783344-3 4.954502-1 2.711466-3 5.432503-1 2.029385-3 5.956621-1 1.529892-3 6.456542-1 1.204987-3 7.079458-1 9.244289-4 8.035261-1 6.489135-4 8.609938-1 5.333332-4 9.120108-1 4.557473-4 9.549926-1 4.041696-4 1.000000+0 3.606737-4 1.047129+0 3.242116-4 1.096478+0 2.935089-4 1.148154+0 2.673239-4 1.216186+0 2.395001-4 1.318257+0 2.070151-4 1.531087+0 1.600438-4 1.883649+0 1.112980-4 2.113489+0 9.151699-5 2.371374+0 7.579495-5 2.691535+0 6.206339-5 3.162278+0 4.855882-5 3.672823+0 3.895065-5 4.265795+0 3.147231-5 5.011872+0 2.520381-5 5.956621+0 2.002048-5 7.161434+0 1.578612-5 8.609938+0 1.253662-5 1.047129+1 9.887859-6 1.258925+1 7.951604-6 1.621810+1 5.941507-6 2.113489+1 4.417022-6 2.884032+1 3.145200-6 4.073803+1 2.175160-6 5.888437+1 1.477949-6 9.225714+1 9.297344-7 1.798871+2 4.706681-7 3.589219+2 2.342764-7 1.428894+3 5.854940-8 1.000000+5 8.35080-10 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.212400-3 2.592900-4 1.000000+5 2.592900-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.212400-3 5.281300-5 1.000000+5 5.281300-5 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.212400-3 1.900297-3 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.129000-3 4.902341+5 2.500000-3 3.782994+5 2.754229-3 2.933324+5 3.019952-3 2.286822+5 3.349654-3 1.716810+5 3.758374-3 1.237213+5 4.400000-3 7.798020+4 4.731513-3 6.268211+4 5.623413-3 3.686956+4 6.165950-3 2.758093+4 7.079458-3 1.772627+4 8.035261-3 1.171313+4 9.015711-3 7.987691+3 1.035142-2 5.002793+3 1.174898-2 3.232467+3 1.333521-2 2.073916+3 1.513561-2 1.321622+3 1.737801-2 8.024325+2 2.000000-2 4.794228+2 2.317395-2 2.772623+2 2.691535-2 1.577365+2 3.126079-2 8.912365+1 3.672823-2 4.784136+1 4.415704-2 2.332285+1 5.370318-2 1.079142+1 1.083927-1 6.648416-1 1.318257-1 3.080004-1 1.566751-1 1.574032-1 1.798871-1 9.262931-2 2.018366-1 5.993743-2 2.264644-1 3.908088-2 2.511886-1 2.677383-2 2.786121-1 1.846846-2 3.090295-1 1.283240-2 3.388442-1 9.344628-3 3.715352-1 6.850566-3 4.073803-1 5.058354-3 4.466836-1 3.763777-3 4.897788-1 2.822473-3 5.308844-1 2.209201-3 5.821032-1 1.682374-3 6.382635-1 1.290131-3 6.918310-1 1.029004-3 7.498942-1 8.261816-4 8.413951-1 6.098836-4 8.912509-1 5.269557-4 9.440609-1 4.583175-4 9.885531-1 4.121927-4 1.047129+0 3.636998-4 1.122018+0 3.154514-4 1.202264+0 2.755758-4 1.303167+0 2.371413-4 1.445440+0 1.971644-4 1.819701+0 1.315843-4 2.089296+0 1.039390-4 2.344229+0 8.602658-5 2.660725+0 7.040036-5 3.090295+0 5.601610-5 3.589219+0 4.488029-5 4.168694+0 3.622413-5 4.897788+0 2.897807-5 5.821032+0 2.299549-5 7.000000+0 1.811000-5 8.413951+0 1.437237-5 1.023293+1 1.132658-5 1.258925+1 8.860832-6 1.621810+1 6.620874-6 2.113489+1 4.922050-6 2.884032+1 3.504800-6 4.073803+1 2.423813-6 6.000000+1 1.615100-6 9.332543+1 1.023881-6 1.819701+2 5.184044-7 3.630781+2 2.580563-7 1.445440+3 6.449510-8 1.000000+5 9.30560-10 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.129000-3 2.547200-4 1.000000+5 2.547200-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.129000-3 2.232400-8 1.000000+5 2.232400-8 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.129000-3 1.874258-3 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 7.122100-4 5.501223+4 8.035261-4 5.011551+4 9.549926-4 4.310366+4 1.023293-3 4.029829+4 1.230269-3 3.278764+4 1.333521-3 2.981123+4 1.479108-3 2.612332+4 1.698244-3 2.176921+4 1.883649-3 1.883794+4 2.187762-3 1.516811+4 2.511886-3 1.230512+4 2.851018-3 1.010004+4 3.349654-3 7.785151+3 3.935501-3 5.949906+3 4.570882-3 4.602310+3 5.308844-3 3.537092+3 6.237348-3 2.646198+3 7.413102-3 1.924735+3 8.912509-3 1.360081+3 1.071519-2 9.536041+2 1.288250-2 6.637128+2 1.548817-2 4.583488+2 1.840772-2 3.216176+2 2.187762-2 2.240753+2 2.600160-2 1.549887+2 3.090295-2 1.064052+2 3.672823-2 7.252389+1 4.365158-2 4.906498+1 5.188000-2 3.294765+1 6.165950-2 2.196230+1 7.328245-2 1.453562+1 8.810489-2 9.288800+0 1.083927-1 5.564984+0 1.396368-1 2.950220+0 2.570396-1 6.273794-1 3.198895-1 3.626230-1 3.801894-1 2.369063-1 4.415705-1 1.650278-1 5.069907-1 1.190548-1 5.754399-1 8.885483-2 6.531306-1 6.680713-2 7.413102-1 5.061098-2 8.511380-1 3.769831-2 9.440609-1 3.042027-2 1.059254+0 2.415476-2 1.216186+0 1.844129-2 1.364583+0 1.482953-2 1.531087+0 1.200652-2 1.737801+0 9.597658-3 2.018366+0 7.424988-3 2.264644+0 6.132495-3 2.570396+0 5.007800-3 2.951209+0 4.046757-3 3.427678+0 3.234971-3 4.000000+0 2.587800-3 4.677351+0 2.079639-3 5.559043+0 1.646828-3 6.606934+0 1.314046-3 8.035261+0 1.025460-3 9.660509+0 8.179804-4 1.230269+1 6.132880-4 1.603245+1 4.520076-4 2.089296+1 3.359231-4 2.818383+1 2.421189-4 3.981072+1 1.673583-4 5.821032+1 1.123103-4 9.120108+1 7.063911-5 1.778279+2 3.575639-5 3.548134+2 1.779600-5 1.412538+3 4.447370-6 4.466836+4 1.403742-7 1.000000+5 6.270400-8 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 7.122100-4 2.610900-4 1.000000+5 2.610900-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 7.122100-4 7.696900-8 1.000000+5 7.696900-8 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 7.122100-4 4.510430-4 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 6.041900-4 4.495036+4 6.930000-4 4.498580+4 8.100000-4 4.380200+4 8.609938-4 4.293698+4 9.440609-4 4.129438+4 1.011579-3 3.985781+4 1.096478-3 3.796638+4 1.170000-3 3.625420+4 1.258925-3 3.415280+4 1.380384-3 3.145982+4 1.496236-3 2.907963+4 1.621810-3 2.667254+4 1.800000-3 2.367120+4 1.972423-3 2.115629+4 2.187762-3 1.847176+4 2.400000-3 1.626670+4 2.660725-3 1.400691+4 2.951209-3 1.197513+4 3.311311-3 9.976896+3 3.672823-3 8.410343+3 4.120975-3 6.903845+3 4.623810-3 5.626113+3 5.188000-3 4.552421+3 5.821032-3 3.658052+3 6.531306-3 2.920046+3 7.413102-3 2.262192+3 8.413951-3 1.739249+3 9.549926-3 1.327421+3 1.083927-2 1.005741+3 1.230269-2 7.565498+2 1.396368-2 5.650844+2 1.584893-2 4.191683+2 1.819701-2 3.002698+2 2.089296-2 2.133688+2 2.398833-2 1.504763+2 2.754229-2 1.053590+2 3.198895-2 7.105679+1 3.715352-2 4.755987+1 4.365158-2 3.062275+1 5.128614-2 1.957074+1 6.095369-2 1.202444+1 7.498942-2 6.645263+0 9.440609-2 3.410441+0 1.798871-1 5.184472-1 2.000000-1 3.811440-1 2.018366-1 3.720635-1 2.426610-1 2.193245-1 2.851018-1 1.390441-1 3.311311-1 9.170005-2 3.801894-1 6.289631-2 4.315191-1 4.483715-2 4.897788-1 3.220846-2 5.495409-1 2.401591-2 6.165950-1 1.804209-2 6.839117-1 1.404486-2 7.585776-1 1.100636-2 8.609938-1 8.228721-3 9.332543-1 6.882585-3 1.000000+0 5.943267-3 1.096478+0 4.928877-3 1.216186+0 4.024104-3 1.333521+0 3.384478-3 1.513561+0 2.690529-3 1.737801+0 2.107508-3 2.018366+0 1.629591-3 2.264644+0 1.345779-3 2.570396+0 1.099014-3 2.951209+0 8.882286-4 3.427678+0 7.100569-4 4.000000+0 5.680000-4 4.677351+0 4.564576-4 5.559043+0 3.614594-4 6.606934+0 2.884169-4 8.035261+0 2.250726-4 9.772372+0 1.770645-4 1.230269+1 1.346122-4 1.600000+1 9.944200-5 2.089296+1 7.373310-5 2.851018+1 5.248547-5 4.027170+1 3.628880-5 5.888437+1 2.435864-5 9.120108+1 1.550432-5 1.798871+2 7.757170-6 3.589219+2 3.861096-6 1.428894+3 9.649626-7 4.518559+4 3.045835-8 1.000000+5 1.376300-8 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 6.041900-4 2.250800-4 1.000000+5 2.250800-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 6.041900-4 8.058800-8 1.000000+5 8.058800-8 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 6.041900-4 3.790294-4 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 5.120400-4 2.209228+5 6.025596-4 2.072915+5 6.165950-4 2.044556+5 6.456542-4 1.978959+5 7.244360-4 1.800960+5 8.035261-4 1.639388+5 8.810489-4 1.498144+5 9.549926-4 1.376281+5 1.035142-3 1.254946+5 1.161449-3 1.091425+5 1.273503-3 9.695939+4 1.428894-3 8.283743+4 1.584893-3 7.144788+4 1.778279-3 6.010083+4 1.995262-3 5.019819+4 2.238721-3 4.160190+4 2.511886-3 3.423742+4 2.851018-3 2.741229+4 3.235937-3 2.176506+4 3.650000-3 1.734832+4 4.120975-3 1.370532+4 4.677351-3 1.063470+4 5.370318-3 7.994247+3 6.165950-3 5.955535+3 7.079458-3 4.398237+3 8.128305-3 3.220231+3 9.225714-3 2.401763+3 1.047129-2 1.778917+3 1.202264-2 1.271857+3 1.380384-2 9.016766+2 1.566751-2 6.529586+2 1.798871-2 4.555218+2 2.041738-2 3.252486+2 2.344229-2 2.234635+2 2.691535-2 1.523752+2 3.090295-2 1.031533+2 3.589219-2 6.706460+1 4.168694-2 4.326449+1 4.897788-2 2.676511+1 5.754399-2 1.643398+1 6.839116-2 9.669323+0 8.413951-2 5.074366+0 1.059254-1 2.460159+0 1.698244-1 5.530094-1 2.137962-1 2.689238-1 2.511886-1 1.634324-1 2.884032-1 1.073955-1 3.273407-1 7.361324-2 3.672823-1 5.257392-2 4.120975-1 3.781621-2 4.570882-1 2.830059-2 5.069907-1 2.132146-2 5.623413-1 1.617792-2 6.165950-1 1.273880-2 6.839117-1 9.810646-3 7.585776-1 7.614915-3 8.609938-1 5.626824-3 9.225714-1 4.798775-3 9.772372-1 4.226168-3 1.047129+0 3.656065-3 1.135011+0 3.107850-3 1.244515+0 2.600450-3 1.380384+0 2.147770-3 1.678804+0 1.515925-3 1.949845+0 1.169980-3 2.187762+0 9.644356-4 2.483133+0 7.859685-4 2.851018+0 6.339070-4 3.349654+0 4.973866-4 3.890451+0 4.001175-4 4.570882+0 3.190365-4 5.370318+0 2.562832-4 6.382635+0 2.041965-4 7.762471+0 1.591280-4 9.332543+0 1.267615-4 1.202264+1 9.363194-5 1.566751+1 6.896110-5 2.018366+1 5.187506-5 2.691535+1 3.782677-5 3.715352+1 2.676289-5 5.495409+1 1.772344-5 8.709636+1 1.100539-5 1.737801+2 5.439580-6 3.467369+2 2.706841-6 1.380384+3 6.763848-7 4.365158+4 2.134846-8 1.000000+5 9.319000-9 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 5.120400-4 2.066800-4 1.000000+5 2.066800-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 5.120400-4 4.251000-8 1.000000+5 4.251000-8 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 5.120400-4 3.053175-4 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 3.331000-4 1.667904+5 3.349654-4 1.577666+5 3.365000-4 1.516924+5 3.380000-4 1.465936+5 3.400000-4 1.409252+5 3.427678-4 1.345047+5 3.450000-4 1.302920+5 3.480000-4 1.257024+5 3.507519-4 1.223876+5 3.540000-4 1.194428+5 3.565000-4 1.178300+5 3.600000-4 1.164276+5 3.640000-4 1.158360+5 3.680000-4 1.160872+5 3.720000-4 1.170072+5 3.760000-4 1.184684+5 3.820000-4 1.214704+5 3.890451-4 1.259104+5 4.168694-4 1.467736+5 4.415704-4 1.653974+5 4.623810-4 1.810240+5 4.731513-4 1.886593+5 4.897788-4 1.993173+5 5.069907-4 2.088182+5 5.248075-4 2.170401+5 5.450000-4 2.246992+5 5.650000-4 2.307872+5 5.850000-4 2.353956+5 6.025596-4 2.382715+5 6.280000-4 2.406536+5 6.531306-4 2.414348+5 6.760830-4 2.408811+5 7.079458-4 2.385385+5 7.413102-4 2.347514+5 7.800000-4 2.291464+5 8.222426-4 2.218037+5 8.700000-4 2.124296+5 9.225714-4 2.016104+5 9.850000-4 1.887724+5 1.047129-3 1.761843+5 1.110000-3 1.639336+5 1.190000-3 1.493936+5 1.273503-3 1.356014+5 1.364583-3 1.220024+5 1.479108-3 1.070327+5 1.603245-3 9.320049+4 1.737801-3 8.052948+4 1.883649-3 6.912182+4 2.041738-3 5.892361+4 2.238721-3 4.872040+4 2.450000-3 4.013400+4 2.691535-3 3.253425+4 2.951209-3 2.629287+4 3.273407-3 2.052049+4 3.630781-3 1.587763+4 3.981072-3 1.255616+4 4.415704-3 9.572999+3 4.954502-3 7.018955+3 5.559043-3 5.100630+3 6.237348-3 3.675387+3 7.000000-3 2.624924+3 7.943282-3 1.798550+3 8.912509-3 1.264386+3 9.885531-3 9.149140+2 1.109175-2 6.342094+2 1.244515-2 4.366413+2 1.412538-2 2.873775+2 1.584893-2 1.950977+2 1.798871-2 1.264816+2 2.041738-2 8.141676+1 2.344229-2 4.996879+1 2.691535-2 3.044555+1 3.126079-2 1.766754+1 3.672823-2 9.756180+0 4.365158-2 5.123864+0 5.308844-2 2.449846+0 6.839116-2 9.343581-1 1.148154-1 1.292028-1 1.412538-1 5.894014-2 1.698244-1 2.955798-2 1.972423-1 1.697708-2 2.238721-1 1.069688-2 2.540973-1 6.787182-3 2.884032-1 4.338681-3 3.273407-1 2.794970-3 3.672823-1 1.888179-3 4.073803-1 1.335704-3 4.518559-1 9.514806-4 5.011872-1 6.830108-4 5.495409-1 5.121857-4 6.025596-1 3.869132-4 6.531306-1 3.050789-4 7.161434-1 2.341999-4 8.709636-1 1.352671-4 9.225714-1 1.158169-4 9.660509-1 1.029008-4 1.011579+0 9.202191-5 1.059254+0 8.288986-5 1.109175+0 7.517154-5 1.174898+0 6.705310-5 1.258925+0 5.897365-5 1.364583+0 5.111337-5 1.513561+0 4.282317-5 1.862087+0 2.976819-5 2.089296+0 2.446458-5 2.344229+0 2.024901-5 2.660725+0 1.656908-5 3.090295+0 1.318148-5 3.589219+0 1.056099-5 4.168694+0 8.524041-6 4.897788+0 6.818939-6 5.821032+0 5.411165-6 7.000000+0 4.261400-6 8.413951+0 3.381979-6 1.023293+1 2.665302-6 1.258925+1 2.085044-6 1.621810+1 1.557961-6 2.137962+1 1.143563-6 2.951209+1 8.044849-7 4.216965+1 5.499014-7 6.237348+1 3.650393-7 9.660509+1 2.325700-7 1.862087+2 1.191767-7 3.715352+2 5.933225-8 1.479108+3 1.483090-8 1.000000+5 2.18970-10 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 3.331000-4 1.541900-4 1.000000+5 1.541900-4 1 78000 7 7 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 3.331000-4 4.471100-8 1.000000+5 4.471100-8 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 3.331000-4 1.788653-4 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 3.159600-4 2.148870+5 3.198895-4 2.050811+5 3.265000-4 1.889868+5 3.295000-4 1.829448+5 3.325000-4 1.780020+5 3.355000-4 1.743066+5 3.385000-4 1.719162+5 3.415000-4 1.707534+5 3.450000-4 1.707156+5 3.490000-4 1.720548+5 3.530000-4 1.745580+5 3.580000-4 1.790136+5 3.630781-4 1.847707+5 3.711700-4 1.958161+5 3.890451-4 2.233840+5 4.000000-4 2.398128+5 4.120975-4 2.569499+5 4.280000-4 2.784594+5 4.430000-4 2.979948+5 4.570882-4 3.148288+5 4.700000-4 3.285732+5 4.850000-4 3.423564+5 5.011872-4 3.546972+5 5.188000-4 3.656123+5 5.400000-4 3.758598+5 5.623413-4 3.836091+5 5.850000-4 3.883746+5 6.100000-4 3.903486+5 6.350000-4 3.899274+5 6.606934-4 3.870734+5 6.918310-4 3.812604+5 7.300000-4 3.718692+5 7.673615-4 3.609955+5 8.100000-4 3.470112+5 8.511380-4 3.325161+5 9.015711-4 3.144063+5 9.549926-4 2.955709+5 1.011579-3 2.762033+5 1.083927-3 2.526380+5 1.161449-3 2.295188+5 1.244515-3 2.070881+5 1.350000-3 1.819428+5 1.462177-3 1.590438+5 1.584893-3 1.377515+5 1.730000-3 1.169292+5 1.862087-3 1.012416+5 2.041738-3 8.390524+4 2.220000-3 7.023780+4 2.454709-3 5.626310+4 2.660725-3 4.677880+4 2.917427-3 3.764116+4 3.198895-3 3.006450+4 3.507519-3 2.386277+4 3.900000-3 1.814136+4 4.365158-3 1.343346+4 4.800000-3 1.035474+4 5.248075-3 8.064963+3 5.821032-3 5.993772+3 6.531306-3 4.274782+3 7.328245-3 3.023685+3 8.128305-3 2.199127+3 9.120108-3 1.532342+3 1.011579-2 1.099961+3 1.135011-2 7.556538+2 1.273503-2 5.154364+2 1.428894-2 3.491430+2 1.603245-2 2.348670+2 1.819701-2 1.507027+2 2.065380-2 9.598215+1 2.344229-2 6.070266+1 2.691535-2 3.655263+1 3.126079-2 2.093070+1 3.630781-2 1.189491+1 4.265795-2 6.424297+0 5.128614-2 3.152057+0 6.382635-2 1.341716+0 1.148154-1 1.337085-1 1.380384-1 6.515251-2 1.603245-1 3.657733-2 1.840772-1 2.162560-2 2.065380-1 1.404975-2 2.317395-1 9.193952-3 2.570396-1 6.318259-3 2.851018-1 4.371335-3 3.162278-1 3.045634-3 3.467369-1 2.223208-3 3.801894-1 1.633964-3 4.120975-1 1.255684-3 4.518559-1 9.362682-4 4.897788-1 7.288899-4 5.308844-1 5.710419-4 5.754399-1 4.501810-4 6.309573-1 3.455626-4 6.839117-1 2.759573-4 7.413102-1 2.218071-4 8.413951-1 1.590585-4 8.912509-1 1.374514-4 9.440609-1 1.195459-4 9.885531-1 1.075049-4 1.047129+0 9.484321-5 1.122018+0 8.225346-5 1.202264+0 7.185454-5 1.303167+0 6.183495-5 1.445440+0 5.141502-5 1.819701+0 3.431127-5 2.089296+0 2.710435-5 2.344229+0 2.243326-5 2.660725+0 1.835619-5 3.090295+0 1.460329-5 3.589219+0 1.170029-5 4.168694+0 9.443722-6 4.897788+0 7.554701-6 5.821032+0 5.995030-6 7.000000+0 4.721200-6 8.413951+0 3.746929-6 1.023293+1 2.952927-6 1.258925+1 2.310051-6 1.621810+1 1.726145-6 2.113489+1 1.283245-6 2.884032+1 9.137202-7 4.073803+1 6.319129-7 5.956621+1 4.242569-7 9.332543+1 2.669312-7 1.819701+2 1.351497-7 3.630781+2 6.727531-8 1.445440+3 1.681463-8 1.000000+5 2.42600-10 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 3.159600-4 1.498800-4 1.000000+5 1.498800-4 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 3.159600-4 1.660800-4 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 8.549000-5 1.664238+5 8.570000-5 1.717266+5 8.610000-5 1.805388+5 8.655000-5 1.892856+5 8.709636-5 1.986031+5 8.755000-5 2.053206+5 8.810489-5 2.126148+5 8.870000-5 2.194320+5 8.950000-5 2.270988+5 9.040000-5 2.341758+5 9.150000-5 2.411088+5 9.270000-5 2.468688+5 9.400000-5 2.514378+5 9.549926-5 2.550530+5 9.720000-5 2.575806+5 9.950000-5 2.591142+5 1.023293-4 2.592690+5 1.080000-4 2.587740+5 1.109175-4 2.603620+5 1.128000-4 2.626800+5 1.150000-4 2.670228+5 1.170000-4 2.727372+5 1.190000-4 2.803338+5 1.205000-4 2.873190+5 1.223100-4 2.973068+5 1.244515-4 3.113687+5 1.270000-4 3.312816+5 1.290000-4 3.492882+5 1.318257-4 3.781559+5 1.350000-4 4.150854+5 1.500000-4 6.414960+5 1.566751-4 7.635476+5 1.621810-4 8.716873+5 1.678804-4 9.893581+5 1.740000-4 1.119954+6 1.798871-4 1.247293+6 1.850000-4 1.357020+6 1.905461-4 1.472642+6 1.950000-4 1.561668+6 2.000000-4 1.656480+6 2.060000-4 1.762236+6 2.120000-4 1.858236+6 2.187762-4 1.954422+6 2.260000-4 2.043156+6 2.344229-4 2.130535+6 2.430000-4 2.204010+6 2.511886-4 2.260763+6 2.600160-4 2.307466+6 2.691535-4 2.339657+6 2.800000-4 2.359416+6 2.900000-4 2.361102+6 3.019952-4 2.345757+6 3.150000-4 2.312694+6 3.280000-4 2.267394+6 3.430000-4 2.204628+6 3.600000-4 2.124204+6 3.780000-4 2.031852+6 3.981072-4 1.923315+6 4.168694-4 1.819748+6 4.365158-4 1.711860+6 4.623810-4 1.575067+6 4.897788-4 1.439694+6 5.188000-4 1.306977+6 5.500000-4 1.176270+6 5.821032-4 1.055176+6 6.200000-4 9.288120+5 6.683439-4 7.916633+5 7.150000-4 6.806880+5 7.673615-4 5.766260+5 8.222426-4 4.873822+5 8.912509-4 3.975590+5 9.549926-4 3.317834+5 1.047129-3 2.585907+5 1.135011-3 2.064117+5 1.230269-3 1.637440+5 1.364583-3 1.205212+5 1.513561-3 8.784592+4 1.678804-3 6.346456+4 1.862087-3 4.545841+4 2.070000-3 3.206046+4 2.317395-3 2.189478+4 2.600160-3 1.470544+4 2.884032-3 1.019987+4 3.198895-3 7.025189+3 3.548134-3 4.806583+3 3.935501-3 3.267035+3 4.415704-3 2.111342+3 4.954502-3 1.353979+3 5.559043-3 8.617439+2 6.309573-3 5.200753+2 7.161434-3 3.113896+2 8.128305-3 1.849507+2 9.225714-3 1.089936+2 1.047129-2 6.374209+1 1.188502-2 3.698970+1 1.348963-2 2.130948+1 1.531087-2 1.219186+1 1.757924-2 6.580952+0 2.065380-2 3.179886+0 2.454709-2 1.447596+0 2.951209-2 6.204909-1 3.467369-2 2.936095-1 4.466836-2 8.977710-2 7.585776-2 7.472630-3 9.332543-2 2.844377-3 1.083927-1 1.425063-3 1.273503-1 6.820014-4 1.479108-1 3.464956-4 1.698244-1 1.864052-4 1.905461-1 1.120098-4 2.065380-1 7.886634-5 2.290868-1 5.063561-5 2.540973-1 3.275072-5 2.818383-1 2.133309-5 3.126079-1 1.399209-5 3.467369-1 9.242124-6 3.801894-1 6.436179-6 4.073803-1 4.931069-6 4.466836-1 3.482812-6 4.954502-1 2.372718-6 5.432503-1 1.692165-6 5.821032-1 1.320759-6 6.025596-1 1.170288-6 6.382635-1 9.660170-7 6.839117-1 7.727782-7 7.498942-1 5.787375-7 8.000000-1 4.739700-7 8.511380-1 3.852241-7 8.912509-1 3.319316-7 9.332543-1 2.879837-7 9.660509-1 2.603991-7 1.000000+0 2.368800-7 1.035142+0 2.169516-7 1.071519+0 1.999414-7 1.109175+0 1.852917-7 1.161449+0 1.686726-7 1.216186+0 1.546373-7 1.303167+0 1.369396-7 1.412538+0 1.199108-7 1.500000+0 1.089800-7 1.949845+0 6.888451-8 2.187762+0 5.676501-8 2.483133+0 4.625694-8 2.851018+0 3.730709-8 3.349654+0 2.927322-8 3.890451+0 2.354888-8 4.570882+0 1.877600-8 5.370318+0 1.508290-8 6.382635+0 1.201742-8 7.762471+0 9.364991-9 9.332543+0 7.460494-9 1.202264+1 5.510514-9 1.566751+1 4.058589-9 2.018366+1 3.053015-9 2.691535+1 2.226217-9 3.715352+1 1.575075-9 5.495409+1 1.043080-9 8.709636+1 6.47723-10 1.737801+2 3.20134-10 3.467369+2 1.59308-10 1.380384+3 3.98080-11 4.365158+4 1.25644-12 1.000000+5 5.48460-13 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 8.549000-5 8.549000-5 1.000000+5 8.549000-5 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 8.549000-5 0.0 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 8.187000-5 2.615256+5 8.210000-5 2.691040+5 8.250000-5 2.805680+5 8.290000-5 2.906344+5 8.335000-5 3.004248+5 8.380000-5 3.090200+5 8.430000-5 3.171768+5 8.511380-5 3.281670+5 8.600000-5 3.375784+5 8.700000-5 3.456720+5 8.810489-5 3.523201+5 8.950000-5 3.581608+5 9.120108-5 3.624870+5 9.332543-5 3.649072+5 9.549926-5 3.651830+5 1.030000-4 3.613872+5 1.059254-4 3.621552+5 1.083927-4 3.653667+5 1.100000-4 3.690768+5 1.122018-4 3.765780+5 1.143000-4 3.866160+5 1.161449-4 3.979645+5 1.180000-4 4.118672+5 1.202264-4 4.319554+5 1.220000-4 4.506240+5 1.244515-4 4.802890+5 1.273503-4 5.209216+5 1.303167-4 5.683623+5 1.350000-4 6.540760+5 1.450000-4 8.731760+5 1.520000-4 1.049456+6 1.584893-4 1.226058+6 1.640590-4 1.385458+6 1.698244-4 1.555361+6 1.760000-4 1.739200+6 1.820000-4 1.915392+6 1.876900-4 2.076429+6 1.930000-4 2.218664+6 1.990000-4 2.367880+6 2.051300-4 2.506315+6 2.113489-4 2.631851+6 2.162719-4 2.720808+6 2.238721-4 2.840983+6 2.317395-4 2.944991+6 2.400000-4 3.033832+6 2.483133-4 3.104035+6 2.580000-4 3.163344+6 2.660725-4 3.194626+6 2.770900-4 3.213279+6 2.884032-4 3.206475+6 3.000000-4 3.176336+6 3.126079-4 3.123378+6 3.280000-4 3.040072+6 3.430000-4 2.946376+6 3.600000-4 2.829536+6 3.780000-4 2.697320+6 3.981072-4 2.544789+6 4.200000-4 2.377848+6 4.430000-4 2.206040+6 4.731513-4 1.994477+6 5.011872-4 1.813946+6 5.308844-4 1.638039+6 5.650000-4 1.456072+6 6.025596-4 1.279785+6 6.500000-4 1.090032+6 6.918310-4 9.492405+5 7.413102-4 8.083375+5 8.035261-4 6.649527+5 8.709636-4 5.424861+5 9.332543-4 4.529701+5 1.030000-3 3.467672+5 1.110000-3 2.812736+5 1.202264-3 2.236524+5 1.333521-3 1.646043+5 1.479108-3 1.199781+5 1.650000-3 8.511120+4 1.840772-3 5.977736+4 2.065380-3 4.080963+4 2.290868-3 2.870491+4 2.540973-3 2.004847+4 2.818383-3 1.389736+4 3.126079-3 9.564404+3 3.467369-3 6.537490+3 3.845918-3 4.438615+3 4.315191-3 2.864678+3 4.841724-3 1.834593+3 5.432503-3 1.166294+3 6.095369-3 7.360671+2 6.839116-3 4.612149+2 7.762471-3 2.737224+2 8.810489-3 1.611827+2 1.000000-2 9.418800+1 1.122018-2 5.738183+1 1.273503-2 3.301973+1 1.445440-2 1.886128+1 1.640590-2 1.069791+1 1.905461-2 5.430205+0 2.238721-2 2.596260+0 2.660725-2 1.168561+0 3.054921-2 6.134463-1 3.758374-2 2.300226-1 7.161434-2 1.073314-2 9.015711-2 3.616379-3 1.071519-1 1.609920-3 1.258925-1 7.618992-4 1.462177-1 3.827013-4 1.640590-1 2.268828-4 1.819701-1 1.426584-4 2.018366-1 9.035052-5 2.213095-1 6.062227-5 2.398833-1 4.303193-5 2.630268-1 2.931091-5 2.884032-1 2.011944-5 3.162278-1 1.391356-5 3.467369-1 9.694906-6 3.801894-1 6.808852-6 4.216965-1 4.616057-6 4.570882-1 3.436829-6 4.897788-1 2.685906-6 5.248075-1 2.113873-6 5.623413-1 1.674871-6 6.095369-1 1.286653-6 6.531306-1 1.033018-6 6.998420-1 8.348917-7 7.413102-1 7.029680-7 7.943282-1 5.759477-7 8.511380-1 4.751656-7 9.440609-1 3.598606-7 9.885531-1 3.201096-7 1.023293+0 2.948244-7 1.071519+0 2.659266-7 1.122018+0 2.414054-7 1.188502+0 2.155382-7 1.273503+0 1.897270-7 1.380384+0 1.647414-7 1.513561+0 1.409523-7 1.883649+0 9.605057-8 2.113489+0 7.898420-8 2.371374+0 6.541826-8 2.691535+0 5.356522-8 3.126079+0 4.263824-8 3.630781+0 3.418181-8 4.216965+0 2.760423-8 4.954502+0 2.209447-8 5.888437+0 1.754168-8 7.079458+0 1.382472-8 8.511380+0 1.097426-8 1.035142+1 8.652069-9 1.258925+1 6.862459-9 1.621810+1 5.127723-9 2.113489+1 3.811997-9 2.884032+1 2.714388-9 4.073803+1 1.877189-9 5.888437+1 1.275537-9 9.225714+1 8.02373-10 1.798871+2 4.06201-10 3.589219+2 2.02184-10 1.428894+3 5.05295-11 1.000000+5 7.20700-13 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 8.187000-5 8.187000-5 1.000000+5 8.187000-5 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 8.187000-5 0.0 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 1.084400-4 7.348500+4 1.104000-4 6.963620+4 1.122018-4 6.683659+4 1.140000-4 6.468300+4 1.163000-4 6.261220+4 1.180000-4 6.146500+4 1.205000-4 6.025340+4 1.230269-4 5.946770+4 1.258925-4 5.896344+4 1.300000-4 5.874800+4 1.350000-4 5.900660+4 1.430000-4 6.002260+4 1.566751-4 6.195565+4 1.659587-4 6.277894+4 1.737801-4 6.307040+4 1.820000-4 6.300040+4 1.927525-4 6.243067+4 2.041738-4 6.141555+4 2.187762-4 5.978827+4 2.371374-4 5.752440+4 2.570396-4 5.495034+4 2.754229-4 5.249998+4 2.951209-4 4.983655+4 3.200000-4 4.651640+4 3.507519-4 4.267286+4 3.890451-4 3.844260+4 4.265795-4 3.482508+4 4.700000-4 3.116360+4 5.308844-4 2.688016+4 6.095369-4 2.256237+4 6.918310-4 1.906386+4 8.128305-4 1.526487+4 9.500000-4 1.221704+4 1.135011-3 9.405953+3 1.380384-3 6.995661+3 1.678804-3 5.160779+3 2.041738-3 3.776483+3 2.454709-3 2.793474+3 2.951209-3 2.050817+3 3.548134-3 1.494278+3 4.265795-3 1.080739+3 5.128614-3 7.759953+2 6.165950-3 5.529983+2 7.498942-3 3.828157+2 9.120108-3 2.630164+2 1.109175-2 1.793333+2 1.348963-2 1.213161+2 1.640590-2 8.141798+1 1.972423-2 5.551895+1 2.371374-2 3.756668+1 2.851018-2 2.522115+1 3.388442-2 1.723211+1 4.073803-2 1.138984+1 4.897788-2 7.469887+0 5.888437-2 4.861965+0 7.079458-2 3.140682+0 8.317638-2 2.128547+0 1.011580-1 1.315033+0 1.273503-1 7.400487-1 1.603245-1 4.136874-1 2.511886-1 1.322579-1 3.126079-1 7.638406-2 3.715352-1 4.985139-2 4.315191-1 3.468524-2 4.954502-1 2.499279-2 5.623413-1 1.863023-2 6.309573-1 1.435248-2 7.161434-1 1.085062-2 8.128305-1 8.264671-3 9.120108-1 6.494399-3 1.011579+0 5.264430-3 1.174898+0 3.921299-3 1.318257+0 3.146720-3 1.496236+0 2.489547-3 1.698244+0 1.987262-3 1.972423+0 1.535641-3 2.213095+0 1.266665-3 2.511886+0 1.032924-3 2.884032+0 8.336021-4 3.349654+0 6.656766-4 3.890451+0 5.355015-4 4.570882+0 4.269739-4 5.370318+0 3.429897-4 6.382635+0 2.732848-4 7.762471+0 2.129693-4 9.332543+0 1.696507-4 1.188502+1 1.270228-4 1.548817+1 9.351375-5 2.000000+1 7.013700-5 2.660725+1 5.126252-5 3.672823+1 3.625848-5 5.432503+1 2.400633-5 8.609938+1 1.490466-5 1.717908+2 7.365436-6 3.427678+2 3.665016-6 1.364583+3 9.157453-7 4.315191+4 2.890199-8 1.000000+5 1.247200-8 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 1.084400-4 1.084400-4 1.000000+5 1.084400-4 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.084400-4 0.0 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 7.334000-5 1.249450+6 7.380000-5 1.280046+6 7.420000-5 1.300544+6 7.480000-5 1.323082+6 7.550000-5 1.338424+6 7.620000-5 1.345438+6 7.700000-5 1.344902+6 7.810000-5 1.333252+6 7.920000-5 1.313240+6 8.035261-5 1.285653+6 8.171000-5 1.247137+6 8.350000-5 1.190300+6 8.511380-5 1.136106+6 8.730000-5 1.061306+6 9.000000-5 9.702340+5 9.300000-5 8.739960+5 9.660509-5 7.680664+5 1.011579-4 6.513696+5 1.083927-4 5.038000+5 1.220000-4 3.231340+5 1.303167-4 2.536914+5 1.396368-4 1.982636+5 1.480000-4 1.621138+5 1.566751-4 1.340231+5 1.650000-4 1.135446+5 1.732100-4 9.789346+4 1.800000-4 8.753140+4 1.883649-4 7.722739+4 1.950000-4 7.057140+4 2.018366-4 6.481841+4 2.089296-4 5.980091+4 2.187762-4 5.408811+4 2.290868-4 4.929364+4 2.400000-4 4.520540+4 2.511886-4 4.180907+4 2.630268-4 3.887779+4 2.754229-4 3.636588+4 2.917427-4 3.370752+4 3.100000-4 3.136000+4 3.311311-4 2.920335+4 3.600000-4 2.688500+4 4.120975-4 2.375255+4 5.500000-4 1.836244+4 6.309573-4 1.614499+4 7.244360-4 1.407445+4 8.222426-4 1.232839+4 9.332543-4 1.071893+4 1.059254-3 9.258417+3 1.202264-3 7.938459+3 1.364583-3 6.760889+3 1.548817-3 5.716477+3 1.737801-3 4.878291+3 1.972423-3 4.069406+3 2.238721-3 3.369553+3 2.540973-3 2.769449+3 2.884032-3 2.259065+3 3.273407-3 1.829024+3 3.715352-3 1.469906+3 4.216965-3 1.172623+3 4.786301-3 9.286537+2 5.432503-3 7.301506+2 6.165950-3 5.699818+2 7.000000-3 4.416000+2 8.000000-3 3.350360+2 9.120108-3 2.535764+2 1.035142-2 1.923958+2 1.174898-2 1.449742+2 1.333521-2 1.085011+2 1.531087-2 7.848889+1 1.757924-2 5.633114+1 2.018366-2 4.011936+1 2.317395-2 2.835662+1 2.660725-2 1.989861+1 3.090295-2 1.345219+1 3.589219-2 9.024327+0 4.120975-2 6.222437+0 4.786301-2 4.122556+0 5.623413-2 2.624898+0 6.918310-2 1.456272+0 8.709636-2 7.501835-1 1.135011-1 3.470401-1 1.737801-1 1.000438-1 2.187762-1 5.141231-2 2.600160-1 3.141002-2 3.054921-1 1.997464-2 3.507519-1 1.364413-2 4.000000-1 9.561700-3 4.518559-1 6.922355-3 5.069907-1 5.136568-3 5.688529-1 3.838716-3 6.309573-1 2.973143-3 6.998420-1 2.318014-3 7.762471-1 1.819329-3 8.709636-1 1.397715-3 9.440609-1 1.170182-3 1.011579+0 1.011563-3 1.109175+0 8.395718-4 1.230269+0 6.860629-4 1.364583+0 5.654205-4 1.584893+0 4.319212-4 1.840772+0 3.323984-4 2.113489+0 2.628550-4 2.371374+0 2.177084-4 2.691535+0 1.782628-4 3.126079+0 1.418989-4 3.630781+0 1.137564-4 4.216965+0 9.186572-5 4.954502+0 7.352874-5 5.888437+0 5.837884-5 7.079458+0 4.600934-5 8.511380+0 3.652046-5 1.035142+1 2.879364-5 1.258925+1 2.283818-5 1.621810+1 1.706550-5 2.113489+1 1.268629-5 2.917427+1 8.921785-6 4.168694+1 6.096961-6 6.095369+1 4.095198-6 9.549926+1 2.577491-6 1.819701+2 1.336179-6 3.630781+2 6.651132-7 1.445440+3 1.662368-7 1.000000+5 2.398500-9 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 7.334000-5 7.334000-5 1.000000+5 7.334000-5 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 7.334000-5 0.0 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 5.774000-5 3.111804+6 5.830000-5 3.123224+6 5.890000-5 3.113928+6 5.970000-5 3.075856+6 6.070000-5 3.001452+6 6.180000-5 2.899728+6 6.309573-5 2.765953+6 6.456542-5 2.607665+6 6.650000-5 2.400284+6 6.900000-5 2.146528+6 7.161434-5 1.905359+6 7.500000-5 1.632460+6 8.912509-5 8.971169+5 9.440609-5 7.394918+5 9.900000-5 6.346360+5 1.040000-4 5.456600+5 1.083927-4 4.837479+5 1.135011-4 4.261132+5 1.188502-4 3.782916+5 1.244515-4 3.385146+5 1.303167-4 3.053494+5 1.364583-4 2.776359+5 1.428894-4 2.544347+5 1.496236-4 2.349730+5 1.566751-4 2.185842+5 1.650000-4 2.030996+5 1.737801-4 1.900133+5 1.850000-4 1.766328+5 2.000000-4 1.625468+5 2.238721-4 1.454118+5 3.100000-4 1.068268+5 3.589219-4 9.230256+4 4.073803-4 8.079056+4 4.623810-4 7.019666+4 5.308844-4 5.973026+4 6.095369-4 5.043302+4 7.000000-4 4.220800+4 8.128305-4 3.454530+4 9.332543-4 2.848033+4 1.071519-3 2.332837+4 1.230269-3 1.897435+4 1.412538-3 1.533187+4 1.621810-3 1.229985+4 1.862087-3 9.799770+3 2.137962-3 7.747582+3 2.454709-3 6.078993+3 2.818383-3 4.732720+3 3.198895-3 3.735842+3 3.630781-3 2.928895+3 4.120975-3 2.280625+3 4.677351-3 1.763673+3 5.308844-3 1.354578+3 6.025596-3 1.033301+3 6.839116-3 7.829284+2 7.762471-3 5.891046+2 8.810489-3 4.402271+2 1.000000-2 3.267552+2 1.135011-2 2.408632+2 1.288250-2 1.763318+2 1.462177-2 1.282098+2 1.659587-2 9.258598+1 1.905461-2 6.442268+1 2.162719-2 4.587492+1 2.483133-2 3.143191+1 2.851018-2 2.137594+1 3.311311-2 1.396662+1 3.845918-2 9.054225+0 4.466836-2 5.824907+0 5.248075-2 3.594242+0 6.165950-2 2.201752+0 7.413102-2 1.247347+0 9.332543-2 6.077831-1 1.717908-1 8.853123-2 2.113489-1 4.631339-2 2.483133-1 2.816242-2 2.851018-1 1.851000-2 3.235937-1 1.268350-2 3.672823-1 8.756395-3 4.120975-1 6.298925-3 4.570882-1 4.714503-3 5.069907-1 3.552398-3 5.623413-1 2.695948-3 6.165950-1 2.123110-3 6.839117-1 1.635131-3 7.585776-1 1.269160-3 8.609938-1 9.378945-4 9.225714-1 7.999239-4 9.772372-1 7.044851-4 1.047129+0 6.094321-4 1.135011+0 5.180511-4 1.244515+0 4.334832-4 1.380384+0 3.579995-4 1.678804+0 2.526585-4 1.949845+0 1.949912-4 2.187762+0 1.607212-4 2.483133+0 1.309691-4 2.851018+0 1.056288-4 3.349654+0 8.288122-5 3.890451+0 6.667342-5 4.570882+0 5.316161-5 5.370318+0 4.270450-5 6.382635+0 3.402536-5 7.762471+0 2.651505-5 9.332543+0 2.112319-5 1.200000+1 1.563700-5 1.566751+1 1.149128-5 2.018366+1 8.644195-6 2.691535+1 6.303179-6 3.715352+1 4.459589-6 5.495409+1 2.953264-6 8.709636+1 1.833919-6 1.717908+2 9.170336-7 3.427678+2 4.563125-7 1.364583+3 1.140110-7 4.315191+4 3.598533-9 1.000000+5 1.552900-9 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 5.774000-5 5.774000-5 1.000000+5 5.774000-5 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 5.774000-5 0.0 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.102000-5 4.535676+6 1.135011-5 4.629273+6 1.180000-5 4.795272+6 1.230269-5 5.024144+6 1.288250-5 5.331032+6 1.370000-5 5.818932+6 1.500000-5 6.691068+6 1.862087-5 9.416366+6 2.041738-5 1.083034+7 2.190000-5 1.197626+7 2.317395-5 1.291403+7 2.426610-5 1.365886+7 2.540973-5 1.436092+7 2.660725-5 1.499190+7 2.770000-5 1.545314+7 2.851018-5 1.571291+7 2.951209-5 1.592939+7 3.054921-5 1.602968+7 3.162278-5 1.600461+7 3.260000-5 1.587352+7 3.350000-5 1.566522+7 3.450000-5 1.534860+7 3.548134-5 1.496123+7 3.650000-5 1.449299+7 3.770000-5 1.387616+7 3.900000-5 1.315613+7 4.027170-5 1.242542+7 4.168694-5 1.160625+7 4.315191-5 1.077233+7 4.500000-5 9.765036+6 4.677351-5 8.863624+6 4.900000-5 7.836336+6 5.150000-5 6.821784+6 5.432503-5 5.838059+6 5.754399-5 4.902073+6 6.095369-5 4.089840+6 6.456542-5 3.389351+6 6.839116-5 2.789473+6 7.244360-5 2.279466+6 7.673615-5 1.848019+6 8.128305-5 1.486191+6 8.511380-5 1.241264+6 9.000000-5 9.907884+5 9.549926-5 7.736009+5 1.011579-4 6.040015+5 1.071519-4 4.682998+5 1.135011-4 3.609860+5 1.216186-4 2.622150+5 1.330000-4 1.718608+5 1.480000-4 1.034003+5 1.560000-4 8.097480+4 1.621810-4 6.805736+4 1.678804-4 5.874026+4 1.720000-4 5.325084+4 1.760000-4 4.875588+4 1.800000-4 4.496652+4 1.844600-4 4.144774+4 1.890000-4 3.851028+4 1.930000-4 3.637692+4 1.972423-4 3.450933+4 2.018366-4 3.287733+4 2.065380-4 3.156058+4 2.113489-4 3.052003+4 2.162719-4 2.972042+4 2.213095-4 2.913159+4 2.264644-4 2.872731+4 2.330000-4 2.844479+4 2.400000-4 2.835860+4 2.483133-4 2.846893+4 2.580000-4 2.879867+4 2.730000-4 2.952724+4 3.090295-4 3.141584+4 3.305660-4 3.226734+4 3.507519-4 3.280873+4 3.715352-4 3.312713+4 3.935501-4 3.323151+4 4.168694-4 3.309834+4 4.415704-4 3.274421+4 4.677351-4 3.219125+4 5.000000-4 3.132594+4 5.308844-4 3.037191+4 5.688529-4 2.909105+4 6.095369-4 2.765056+4 6.531306-4 2.608772+4 7.000000-4 2.444170+4 7.498942-4 2.276906+4 8.128305-4 2.079764+4 8.810489-4 1.885046+4 9.549926-4 1.696919+4 1.035142-3 1.517414+4 1.122018-3 1.347911+4 1.224700-3 1.176521+4 1.333521-3 1.023571+4 1.462177-3 8.737463+3 1.603245-3 7.403351+3 1.757924-3 6.226643+3 1.927525-3 5.198624+3 2.113489-3 4.309042+3 2.317395-3 3.546503+3 2.540973-3 2.898862+3 2.786121-3 2.353609+3 3.054921-3 1.898414+3 3.388442-3 1.479309+3 3.758374-3 1.143733+3 4.168694-3 8.776356+2 4.623810-3 6.685255+2 5.188000-3 4.900379+2 5.754399-3 3.677112+2 6.456542-3 2.650726+2 7.161434-3 1.961010+2 8.035261-3 1.392463+2 9.015711-3 9.814159+1 1.011579-2 6.865194+1 1.135011-2 4.766789+1 1.273503-2 3.284936+1 1.428894-2 2.247967+1 1.621810-2 1.470038+1 1.840772-2 9.541835+0 2.089296-2 6.149195+0 2.398833-2 3.778163+0 2.754229-2 2.304339+0 3.198895-2 1.338456+0 3.758374-2 7.397367-1 4.466836-2 3.889118-1 5.370318-2 1.944579-1 6.998420-2 7.111270-2 1.135011-1 1.125345-2 1.412538-1 4.917837-3 1.698244-1 2.465381-3 1.972423-1 1.416542-3 2.238721-1 8.926903-4 2.540973-1 5.664783-4 2.884032-1 3.621539-4 3.273407-1 2.333241-4 3.672823-1 1.576497-4 4.073803-1 1.115508-4 4.518559-1 7.949859-5 5.011872-1 5.708420-5 5.495409-1 4.280291-5 6.025596-1 3.232402-5 6.606935-1 2.463073-5 7.244360-1 1.891249-5 8.709636-1 1.129212-5 9.225714-1 9.675701-6 9.660509-1 8.601589-6 1.011579+0 7.695990-6 1.059254+0 6.934642-6 1.109175+0 6.290041-6 1.174898+0 5.610945-6 1.258925+0 4.934187-6 1.364583+0 4.275458-6 1.531087+0 3.508639-6 1.862087+0 2.488898-6 2.089296+0 2.045493-6 2.344229+0 1.693039-6 2.660725+0 1.385381-6 3.090295+0 1.102152-6 3.589219+0 8.830317-7 4.168694+0 7.127091-7 4.897788+0 5.701406-7 5.821032+0 4.524382-7 7.000000+0 3.563100-7 8.413951+0 2.827720-7 1.023293+1 2.228531-7 1.258925+1 1.743329-7 1.640590+1 1.285721-7 2.162719+1 9.440738-8 3.000000+1 6.608700-8 4.315191+1 4.487369-8 6.456542+1 2.944676-8 1.000000+2 1.877100-8 1.905461+2 9.734824-9 3.801894+2 4.847331-9 1.513561+3 1.211729-9 1.000000+5 1.83090-11 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.102000-5 1.102000-5 1.000000+5 1.102000-5 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.102000-5 0.0 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 9.540000-6 7.965002+6 1.000000-5 8.354556+6 1.059254-5 8.923701+6 1.150000-5 9.889776+6 1.462177-5 1.349286+7 1.659587-5 1.578771+7 1.850000-5 1.794290+7 2.018366-5 1.974984+7 2.162719-5 2.117561+7 2.290868-5 2.229578+7 2.400000-5 2.310957+7 2.511886-5 2.378726+7 2.610000-5 2.423309+7 2.691535-5 2.448636+7 2.800000-5 2.464765+7 2.900000-5 2.462135+7 3.000000-5 2.442604+7 3.090295-5 2.411494+7 3.198895-5 2.358962+7 3.311311-5 2.289554+7 3.427678-5 2.204425+7 3.548134-5 2.105472+7 3.672823-5 1.995435+7 3.801894-5 1.877523+7 3.950000-5 1.741630+7 4.073803-5 1.630092+7 4.220000-5 1.502966+7 4.400000-5 1.355773+7 4.623810-5 1.189885+7 4.841724-5 1.047197+7 5.069907-5 9.163796+6 5.370318-5 7.702131+6 5.688529-5 6.431326+6 6.025596-5 5.334723+6 6.400000-5 4.354614+6 6.800000-5 3.524105+6 7.161434-5 2.921512+6 7.585776-5 2.354112+6 8.000000-5 1.914781+6 8.413951-5 1.563220+6 8.912509-5 1.230861+6 9.332543-5 1.010875+6 9.900000-5 7.795710+5 1.047129-4 6.051412+5 1.109175-4 4.636491+5 1.202264-4 3.168025+5 1.380384-4 1.634118+5 1.450000-4 1.297172+5 1.500000-4 1.111984+5 1.548817-4 9.667272+4 1.600000-4 8.446734+4 1.640590-4 7.660337+4 1.678804-4 7.042748+4 1.720000-4 6.489396+4 1.760000-4 6.045894+4 1.800000-4 5.680260+4 1.840772-4 5.375957+4 1.883649-4 5.119270+4 1.927525-4 4.912570+4 1.972423-4 4.749055+4 2.018366-4 4.623215+4 2.065380-4 4.530870+4 2.113489-4 4.467853+4 2.162719-4 4.429410+4 2.230000-4 4.409451+4 2.300000-4 4.419830+4 2.400000-4 4.471913+4 2.511886-4 4.559358+4 2.884032-4 4.892068+4 3.054921-4 5.011260+4 3.235937-4 5.100175+4 3.427678-4 5.157326+4 3.630781-4 5.181416+4 3.845918-4 5.171776+4 4.073803-4 5.126795+4 4.315191-4 5.046342+4 4.570882-4 4.936872+4 4.841724-4 4.801638+4 5.188000-4 4.610776+4 5.559043-4 4.394141+4 5.956621-4 4.157110+4 6.382635-4 3.905150+4 6.839116-4 3.644422+4 7.413102-4 3.336561+4 8.035261-4 3.030867+4 8.709636-4 2.732631+4 9.549926-4 2.408227+4 1.035142-3 2.141447+4 1.122018-3 1.891843+4 1.216186-3 1.660852+4 1.333521-3 1.420526+4 1.462177-3 1.205619+4 1.603245-3 1.015798+4 1.757924-3 8.496582+3 1.927525-3 7.055741+3 2.113489-3 5.817787+3 2.317395-3 4.763741+3 2.540973-3 3.874124+3 2.786121-3 3.129629+3 3.090295-3 2.443041+3 3.427678-3 1.892278+3 3.758374-3 1.497921+3 4.073803-3 1.213464+3 4.466836-3 9.463360+2 5.011872-3 6.880171+2 5.623413-3 4.976186+2 6.237348-3 3.692582+2 6.918310-3 2.720619+2 7.673615-3 1.991287+2 8.609938-3 1.397443+2 9.660509-3 9.731993+1 1.083927-2 6.725699+1 1.202264-2 4.791389+1 1.348963-2 3.263558+1 1.513561-2 2.207458+1 1.717908-2 1.425051+1 1.949845-2 9.129390+0 2.213095-2 5.805155+0 2.540973-2 3.514704+0 2.917427-2 2.111949+0 3.388442-2 1.206576+0 3.981072-2 6.549843-1 4.731513-2 3.377460-1 5.623413-2 1.729020-1 7.413102-2 5.867447-2 1.122019-1 1.155971-2 1.364583-1 5.401164-3 1.621810-1 2.779842-3 1.862087-1 1.645445-3 2.089296-1 1.070112-3 2.344229-1 7.011209-4 2.600160-1 4.823964-4 2.884032-1 3.341787-4 3.198895-1 2.331778-4 3.507519-1 1.704617-4 3.845918-1 1.254573-4 4.216965-1 9.300805-5 4.623810-1 6.947831-5 5.011872-1 5.417675-5 5.432503-1 4.251018-5 5.888437-1 3.357244-5 6.382635-1 2.670557-5 6.918310-1 2.139018-5 7.498942-1 1.724438-5 8.609938-1 1.202834-5 9.120108-1 1.041282-5 9.660509-1 9.076545-6 1.011579+0 8.180739-6 1.071519+0 7.232908-6 1.148154+0 6.287487-6 1.230269+0 5.504486-6 1.333521+0 4.747389-6 1.798871+0 2.803363-6 2.065380+0 2.212896-6 2.317395+0 1.830255-6 2.630268+0 1.496677-6 3.054921+0 1.190055-6 3.548134+0 9.528946-7 4.120975+0 7.686739-7 4.841724+0 6.145773-7 5.754399+0 4.874489-7 6.918310+0 3.838060-7 8.317638+0 3.043724-7 1.011579+1 2.397699-7 1.244515+1 1.874962-7 1.603245+1 1.400571-7 2.089296+1 1.040856-7 2.851018+1 7.409033-8 4.027170+1 5.122723-8 5.888437+1 3.438531-8 9.120108+1 2.188707-8 1.798871+2 1.095049-8 3.589219+2 5.450552-9 1.428894+3 1.362182-9 1.000000+5 1.94290-11 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 9.540000-6 9.540000-6 1.000000+5 9.540000-6 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 9.540000-6 0.0 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 8.070000-6 3.877410+6 8.511380-6 3.154111+6 9.700000-6 1.873040+6 1.109175-5 1.088214+6 1.258925-5 6.461788+5 1.428894-5 3.807619+5 1.972423-5 9.706282+4 2.137962-5 6.935376+4 2.270000-5 5.436990+4 2.388200-5 4.452480+4 2.500000-5 3.744690+4 2.610000-5 3.205370+4 2.691535-5 2.883483+4 2.786121-5 2.575876+4 2.884032-5 2.317427+4 2.985383-5 2.101045+4 3.080000-5 1.936610+4 3.162278-5 1.817595+4 3.260000-5 1.700000+4 3.350000-5 1.610550+4 3.450000-5 1.528480+4 3.548134-5 1.462487+4 3.672823-5 1.395291+4 3.801894-5 1.341202+4 3.950000-5 1.293910+4 4.073803-5 1.263635+4 4.220000-5 1.236110+4 4.415704-5 1.209628+4 4.677351-5 1.186797+4 5.011872-5 1.169665+4 6.165950-5 1.136014+4 6.760830-5 1.114113+4 7.328245-5 1.087519+4 7.852356-5 1.058386+4 8.413951-5 1.023222+4 9.015711-5 9.830981+3 9.660509-5 9.386855+3 1.040000-4 8.875530+3 1.135011-4 8.237462+3 1.244515-4 7.556129+3 1.364583-4 6.883175+3 1.548817-4 6.004947+3 1.778279-4 5.132426+3 3.126079-4 2.645328+3 3.589219-4 2.229754+3 4.027170-4 1.920521+3 4.623810-4 1.587326+3 5.821032-4 1.142607+3 7.413102-4 8.072375+2 8.413951-4 6.688261+2 1.059254-3 4.696490+2 1.380384-3 3.109919+2 1.678804-3 2.277843+2 2.065380-3 1.625801+2 2.511886-3 1.173804+2 3.054921-3 8.412601+1 4.466836-3 4.335812+1 5.011872-3 3.521969+1 5.754399-3 2.723377+1 7.413102-3 1.692078+1 9.015711-3 1.162740+1 1.109175-2 7.752434+0 1.348963-2 5.245356+0 1.621810-2 3.605217+0 1.949845-2 2.459843+0 2.344229-2 1.665421+0 2.818383-2 1.118726+0 3.349654-2 7.647967-1 3.981072-2 5.191221-1 4.731513-2 3.498183-1 5.623413-2 2.339592-1 6.760830-2 1.511494-1 8.128305-2 9.691812-2 9.885531-2 5.990799-2 1.244515-1 3.374495-2 1.584893-1 1.833902-2 2.483133-1 5.862606-3 3.090295-1 3.385116-3 3.672823-1 2.208627-3 4.265795-1 1.536152-3 4.897788-1 1.106511-3 5.559043-1 8.245855-4 6.237348-1 6.350873-4 7.079458-1 4.800823-4 8.035261-1 3.657359-4 9.015711-1 2.874631-4 1.000000+0 2.330900-4 1.188502+0 1.659597-4 1.318257+0 1.361344-4 1.496236+0 1.077206-4 1.698244+0 8.599548-5 1.972423+0 6.645049-5 2.213095+0 5.480578-5 2.511886+0 4.469225-5 2.884032+0 3.607060-5 3.388442+0 2.831949-5 3.935501+0 2.279443-5 4.623810+0 1.818515-5 5.495409+0 1.439238-5 6.531306+0 1.147865-5 7.943282+0 8.953486-6 9.549926+0 7.138957-6 1.216186+1 5.349858-6 1.584893+1 3.941610-6 2.041738+1 2.966028-6 2.754229+1 2.136530-6 3.801894+1 1.512438-6 5.623413+1 1.002056-6 8.810489+1 6.298769-7 1.757924+2 3.113612-7 3.507519+2 1.549570-7 1.396368+3 3.872181-8 4.415704+4 1.222179-9 1.000000+5 5.39680-10 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 8.070000-6 8.070000-6 1.000000+5 8.070000-6 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 8.070000-6 0.0 1.000000+5 1.000000+5 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 5.281000-7 1.026100+0 1.194080-6 1.026600+0 1.683380-6 1.027100+0 2.290270-6 1.027500+0 2.868540-6 1.028100+0 3.905470-6 1.028750+0 5.281000-6 1.029500+0 7.227190-6 1.030100+0 9.089070-6 1.031000+0 1.243690-5 1.032000+0 1.701690-5 1.033200+0 2.383770-5 1.034000+0 2.926300-5 1.035300+0 3.972040-5 1.036640+0 5.281000-5 1.038200+0 7.126880-5 1.039700+0 9.259240-5 1.041500+0 1.231930-4 1.043800+0 1.709960-4 1.046400+0 2.379090-4 1.048300+0 2.962030-4 1.051200+0 4.017930-4 1.054080+0 5.281000-4 1.057700+0 7.198350-4 1.061100+0 9.363260-4 1.065100+0 1.239600-3 1.070400+0 1.729370-3 1.076200+0 2.389990-3 1.080600+0 2.984710-3 1.087100+0 4.021370-3 1.093710+0 5.281000-3 1.102600+0 7.321850-3 1.110700+0 9.548840-3 1.120600+0 1.277290-2 1.133300+0 1.775900-2 1.147500+0 2.451910-2 1.158200+0 3.047100-2 1.174100+0 4.072730-2 1.190110+0 5.281000-2 1.205100+0 6.574810-2 1.227500+0 8.800970-2 1.250000+0 1.137000-1 1.265600+0 1.332800-1 1.294900+0 1.735450-1 1.331800+0 2.298730-1 1.362600+0 2.807830-1 1.397000+0 3.410020-1 1.433800+0 4.085640-1 1.477900+0 4.930960-1 1.500000+0 5.368000-1 1.562500+0 6.647420-1 1.617200+0 7.811560-1 1.712900+0 9.914120-1 1.838500+0 1.274620+0 1.946200+0 1.519260+0 2.000000+0 1.641000+0 2.044000+0 1.740000+0 2.163500+0 2.004700+0 2.372600+0 2.451200+0 2.647100+0 3.003950+0 3.000000+0 3.666000+0 3.500000+0 4.531030+0 4.000000+0 5.322000+0 5.000000+0 6.709000+0 6.000000+0 7.902000+0 7.000000+0 8.953000+0 8.000000+0 9.899000+0 9.000000+0 1.076000+1 1.000000+1 1.155000+1 1.100000+1 1.228000+1 1.200000+1 1.296000+1 1.300000+1 1.360000+1 1.400000+1 1.420000+1 1.500000+1 1.475000+1 1.600000+1 1.527000+1 1.800000+1 1.620000+1 2.000000+1 1.703000+1 2.200000+1 1.779000+1 2.400000+1 1.848000+1 2.600000+1 1.910000+1 2.800000+1 1.968000+1 3.000000+1 2.021000+1 4.000000+1 2.238000+1 5.000000+1 2.399000+1 6.000000+1 2.524000+1 8.000000+1 2.708000+1 1.000000+2 2.837000+1 1.500000+2 3.041000+1 2.000000+2 3.162000+1 3.000000+2 3.303000+1 4.000000+2 3.383000+1 5.000000+2 3.436000+1 6.000000+2 3.473000+1 8.000000+2 3.523000+1 1.000000+3 3.555000+1 1.500000+3 3.602000+1 2.000000+3 3.627000+1 3.000000+3 3.655000+1 4.000000+3 3.669000+1 5.000000+3 3.679000+1 6.000000+3 3.685000+1 8.000000+3 3.694000+1 1.000000+4 3.699000+1 1.500000+4 3.706000+1 2.000000+4 3.710000+1 3.000000+4 3.715000+1 4.000000+4 3.717000+1 5.000000+4 3.718000+1 6.000000+4 3.719000+1 8.000000+4 3.720000+1 1.000000+5 3.721000+1 1 78000 7 8 1.950900+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 7.809860-7 2.090400+0 1.060390-6 2.094700+0 1.374950-6 2.099900+0 1.829180-6 2.106600+0 2.544540-6 2.114000+0 3.520690-6 2.119500+0 4.383240-6 2.127900+0 5.944500-6 2.136250+0 7.809860-6 2.147000+0 1.070790-5 2.156900+0 1.390820-5 2.169000+0 1.856140-5 2.184500+0 2.580100-5 2.201800+0 3.569640-5 2.214800+0 4.447490-5 2.234200+0 5.982670-5 2.253680+0 7.809860-5 2.281500+0 1.093910-4 2.307000+0 1.436840-4 2.338200+0 1.931960-4 2.377400+0 2.675530-4 2.410200+0 3.402820-4 2.446800+0 4.328580-4 2.485900+0 5.449920-4 2.532900+0 6.974750-4 2.556430+0 7.809860-4 2.611900+0 9.958510-4 2.660400+0 1.203940-3 2.745300+0 1.611410-3 2.809000+0 1.951520-3 2.904500+0 2.514050-3 3.000000+0 3.138000-3 3.125000+0 4.046070-3 3.234400+0 4.922760-3 3.425800+0 6.627920-3 3.569300+0 8.035720-3 3.784700+0 1.032740-2 4.000000+0 1.279000-2 4.250000+0 1.579980-2 4.625000+0 2.052780-2 5.000000+0 2.544000-2 5.500000+0 3.217730-2 6.000000+0 3.900000-2 6.750000+0 4.914500-2 7.000000+0 5.248000-2 8.000000+0 6.551000-2 9.000000+0 7.796000-2 1.000000+1 8.976000-2 1.100000+1 1.009000-1 1.200000+1 1.114000-1 1.300000+1 1.213000-1 1.400000+1 1.306000-1 1.500000+1 1.395000-1 1.600000+1 1.479000-1 1.800000+1 1.634000-1 2.000000+1 1.775000-1 2.200000+1 1.904000-1 2.400000+1 2.022000-1 2.600000+1 2.130000-1 2.800000+1 2.230000-1 3.000000+1 2.323000-1 4.000000+1 2.706000-1 5.000000+1 2.994000-1 6.000000+1 3.221000-1 8.000000+1 3.559000-1 1.000000+2 3.802000-1 1.500000+2 4.200000-1 2.000000+2 4.446000-1 3.000000+2 4.743000-1 4.000000+2 4.919000-1 5.000000+2 5.038000-1 6.000000+2 5.125000-1 8.000000+2 5.244000-1 1.000000+3 5.322000-1 1.500000+3 5.438000-1 2.000000+3 5.504000-1 3.000000+3 5.575000-1 4.000000+3 5.617000-1 5.000000+3 5.642000-1 6.000000+3 5.660000-1 8.000000+3 5.683000-1 1.000000+4 5.698000-1 1.500000+4 5.718000-1 2.000000+4 5.730000-1 3.000000+4 5.741000-1 4.000000+4 5.748000-1 5.000000+4 5.753000-1 6.000000+4 5.755000-1 8.000000+4 5.758000-1 1.000000+5 5.761000-1 1 78000 7 8 1.950900+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 78000 7 9 1.950900+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 7.800000+1 1.000000+5 7.800000+1 5.000000+5 7.797200+1 7.500000+5 7.795150+1 1.000000+6 7.793700+1 1.500000+6 7.789200+1 2.000000+6 7.780900+1 2.500000+6 7.770200+1 3.000000+6 7.757400+1 3.500000+6 7.742240+1 4.000000+6 7.725300+1 4.500000+6 7.706890+1 5.000000+6 7.686500+1 5.500000+6 7.663900+1 6.250000+6 7.625860+1 6.500000+6 7.612850+1 7.000000+6 7.585400+1 7.875000+6 7.533820+1 8.625000+6 7.487490+1 9.000000+6 7.463800+1 1.000000+7 7.397600+1 1.125000+7 7.308960+1 1.187500+7 7.263100+1 1.250000+7 7.216200+1 1.437500+7 7.070070+1 1.500000+7 7.021200+1 1.687500+7 6.872140+1 1.750000+7 6.822000+1 2.000000+7 6.618000+1 2.250000+7 6.414180+1 2.375000+7 6.312970+1 2.500000+7 6.213800+1 2.875000+7 5.922500+1 3.000000+7 5.829100+1 3.437500+7 5.514200+1 3.750000+7 5.304400+1 4.000000+7 5.146600+1 4.500000+7 4.854160+1 5.000000+7 4.589300+1 5.500000+7 4.347030+1 5.750000+7 4.233220+1 6.000000+7 4.123700+1 6.750000+7 3.815510+1 7.000000+7 3.719200+1 7.750000+7 3.445070+1 8.000000+7 3.358900+1 8.750000+7 3.112370+1 9.000000+7 3.034700+1 9.750000+7 2.813490+1 1.000000+8 2.743900+1 1.062500+8 2.578520+1 1.250000+8 2.166400+1 1.375000+8 1.958640+1 1.500000+8 1.796500+1 1.625000+8 1.671080+1 1.750000+8 1.568370+1 1.906300+8 1.457790+1 2.000000+8 1.397000+1 2.250000+8 1.248960+1 2.500000+8 1.128200+1 2.671900+8 1.058170+1 2.789100+8 1.010210+1 2.875000+8 9.728110+0 2.894500+8 9.639660+0 2.973600+8 9.267260+0 3.000000+8 9.137800+0 3.062500+8 8.822360+0 3.335900+8 7.538680+0 3.418000+8 7.238970+0 3.500000+8 6.993400+0 3.562500+8 6.843900+0 4.000000+8 6.141400+0 4.125000+8 5.919420+0 5.000000+8 4.437400+0 5.125000+8 4.306660+0 5.343800+8 4.118870+0 5.835900+8 3.772090+0 6.000000+8 3.655200+0 7.000000+8 2.963500+0 7.625000+8 2.681010+0 7.875000+8 2.568220+0 8.000000+8 2.507700+0 8.125000+8 2.443590+0 1.000000+9 1.596200+0 1.031300+9 1.518850+0 1.060500+9 1.461510+0 1.088000+9 1.417670+0 1.125800+9 1.369800+0 1.160500+9 1.335470+0 1.183200+9 1.318190+0 1.375000+9 1.212360+0 1.500000+9 1.155000+0 1.562500+9 1.118830+0 1.641100+9 1.068880+0 1.706900+9 1.025080+0 1.780200+9 9.758530-1 1.858700+9 9.237680-1 1.952900+9 8.636670-1 2.000000+9 8.350100-1 2.139200+9 7.557980-1 2.272600+9 6.874990-1 2.443000+9 6.100620-1 2.602800+9 5.464870-1 2.750000+9 4.946500-1 2.825100+9 4.704450-1 3.024800+9 4.126530-1 3.208000+9 3.669810-1 3.432000+9 3.191660-1 3.719500+9 2.684270-1 4.039600+9 2.230740-1 4.279700+9 1.951240-1 4.639800+9 1.608600-1 5.000000+9 1.337400-1 5.375000+9 1.112770-1 5.703100+9 9.539090-2 6.277300+9 7.391430-2 7.031000+9 5.428740-2 8.000000+9 3.794900-2 1.00000+10 2.028200-2 1.54060+10 6.022940-3 2.62810+10 1.352030-3 3.97960+10 4.260550-4 6.12980+10 1.288270-4 8.70990+10 4.895770-5 1.00000+11 3.351100-5 1.34280+11 1.496620-5 2.20600+11 3.880350-6 4.19930+11 6.831390-7 1.03480+12 6.125100-8 3.24440+12 2.968640-9 1.00000+14 3.68510-13 3.16230+15 4.08537-17 1.00000+17 4.29680-21 1 78000 7 0 1.950900+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 6.40000-12 1.000000+2 6.40000-10 1.000000+3 6.400000-8 1.000000+4 6.400000-6 1.000000+5 6.400000-4 5.000000+5 1.600000-2 7.500000+5 3.600000-2 1.000000+6 6.400000-2 1.500000+6 1.420000-1 2.000000+6 2.498000-1 2.500000+6 3.852000-1 3.000000+6 5.459000-1 3.500000+6 7.293890-1 4.000000+6 9.330000-1 4.500000+6 1.154080+0 5.000000+6 1.390000+0 5.500000+6 1.638110+0 6.250000+6 2.028550+0 6.500000+6 2.162410+0 7.000000+6 2.434700+0 7.875000+6 2.920520+0 8.625000+6 3.343110+0 9.000000+6 3.555700+0 1.000000+7 4.123000+0 1.125000+7 4.829730+0 1.187500+7 5.181550+0 1.250000+7 5.532200+0 1.437500+7 6.573570+0 1.500000+7 6.917000+0 1.687500+7 7.934570+0 1.750000+7 8.269900+0 2.000000+7 9.589000+0 2.250000+7 1.087300+1 2.375000+7 1.150470+1 2.500000+7 1.213000+1 2.875000+7 1.397430+1 3.000000+7 1.458300+1 3.437500+7 1.668900+1 3.750000+7 1.816960+1 4.000000+7 1.933700+1 4.500000+7 2.160680+1 5.000000+7 2.376600+1 5.500000+7 2.577920+1 5.750000+7 2.672660+1 6.000000+7 2.763800+1 6.750000+7 3.014210+1 7.000000+7 3.091000+1 7.750000+7 3.304620+1 8.000000+7 3.371300+1 8.750000+7 3.560200+1 9.000000+7 3.620400+1 9.750000+7 3.793280+1 1.000000+8 3.849100+1 1.062500+8 3.984060+1 1.250000+8 4.361000+1 1.375000+8 4.590340+1 1.500000+8 4.804900+1 1.625000+8 5.003950+1 1.750000+8 5.188870+1 1.906300+8 5.398850+1 2.000000+8 5.514200+1 2.250000+8 5.784270+1 2.500000+8 6.007700+1 2.671900+8 6.138590+1 2.789100+8 6.218510+1 2.875000+8 6.273800+1 2.894500+8 6.285620+1 2.973600+8 6.332770+1 3.000000+8 6.348300+1 3.062500+8 6.382940+1 3.335900+8 6.521610+1 3.418000+8 6.559350+1 3.500000+8 6.595300+1 3.562500+8 6.621350+1 4.000000+8 6.784700+1 4.125000+8 6.825190+1 5.000000+8 7.063300+1 5.125000+8 7.091300+1 5.343800+8 7.137860+1 5.835900+8 7.230980+1 6.000000+8 7.259300+1 7.000000+8 7.396800+1 7.625000+8 7.459220+1 7.875000+8 7.480700+1 8.000000+8 7.490600+1 8.125000+8 7.499490+1 1.000000+9 7.599700+1 1.031300+9 7.611110+1 1.060500+9 7.621470+1 1.088000+9 7.629850+1 1.125800+9 7.640920+1 1.160500+9 7.650770+1 1.183200+9 7.656560+1 1.375000+9 7.695430+1 1.500000+9 7.715200+1 1.562500+9 7.722950+1 1.641100+9 7.732290+1 1.706900+9 7.739770+1 1.780200+9 7.747110+1 1.858700+9 7.753620+1 1.952900+9 7.761100+1 2.000000+9 7.764700+1 2.139200+9 7.772600+1 2.272600+9 7.778440+1 2.443000+9 7.784560+1 2.602800+9 7.789160+1 2.750000+9 7.792130+1 2.825100+9 7.793580+1 3.024800+9 7.795710+1 3.208000+9 7.797380+1 3.432000+9 7.798960+1 3.719500+9 7.799230+1 4.039600+9 7.799520+1 4.279700+9 7.799720+1 4.639800+9 7.799930+1 5.000000+9 7.799700+1 5.375000+9 7.799750+1 5.703100+9 7.799780+1 6.277300+9 7.799850+1 7.031000+9 7.799920+1 8.000000+9 7.800000+1 1.00000+10 7.800000+1 1.54060+10 7.800000+1 2.62810+10 7.800000+1 3.97960+10 7.800000+1 6.12980+10 7.800000+1 8.70990+10 7.800000+1 1.00000+11 7.800000+1 1.34280+11 7.800000+1 2.20600+11 7.800000+1 4.19930+11 7.800000+1 1.03480+12 7.800000+1 3.24440+12 7.800000+1 1.00000+14 7.800000+1 3.16230+15 7.800000+1 1.00000+17 7.800000+1 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.573491-6 0.0 1.577363-6 3.856829-7 1.581236-6 7.631601-7 1.585109-6 1.393974-6 1.588982-6 2.350432-6 1.592855-6 3.658428-6 1.596728-6 5.256483-6 1.600601-6 6.971879-6 1.604474-6 8.536076-6 1.608347-6 9.647631-6 1.612220-6 1.006554-5 1.616093-6 9.694095-6 1.619966-6 8.618495-6 1.623839-6 7.073097-6 1.631585-6 3.747381-6 1.635458-6 2.419179-6 1.639331-6 1.441657-6 1.643204-6 7.930676-7 1.647077-6 4.027285-7 1.650949-6 0.0 4.871524-6 0.0 4.889510-6 1.951396+0 4.895505-6 2.593610+0 4.907496-6 4.737441+0 4.919486-6 7.987976+0 4.932976-6 1.311066+1 4.953772-6 2.287252+1 4.968198-6 2.924555+1 4.980540-6 3.291772+1 4.993117-6 3.403066+1 5.005108-6 3.243231+1 5.017873-6 2.821378+1 5.038102-6 1.883960+1 5.051383-6 1.273553+1 5.064123-6 8.014443+0 5.075364-6 4.899493+0 5.087355-6 2.695251+0 5.102343-6 1.027112+0 5.111336-6 0.0 5.419808-6 0.0 5.443154-6 4.474261+0 5.446489-6 5.106919+0 5.459829-6 9.328205+0 5.473169-6 1.572863+1 5.488177-6 2.581540+1 5.511548-6 4.523901+1 5.527363-6 5.758563+1 5.542029-6 6.501187+1 5.554198-6 6.717295+1 5.567775-6 6.421174+1 5.582287-6 5.581874+1 5.603288-6 3.868668+1 5.619911-6 2.507674+1 5.633251-6 1.618867+1 5.646591-6 9.647291+0 5.659931-6 5.307054+0 5.679942-6 1.349075+0 5.686612-6 0.0 6.410260-6 0.0 6.426038-6 2.04485-14 6.441816-6 4.04619-14 6.457594-6 7.39070-14 6.473372-6 1.24617-13 6.489150-6 1.93966-13 6.504928-6 2.78693-13 6.520706-6 3.69641-13 6.536484-6 4.52573-13 6.552262-6 5.11507-13 6.568040-6 5.33664-13 6.583818-6 5.13970-13 6.599596-6 4.56943-13 6.615374-6 3.75008-13 6.646930-6 1.98682-13 6.662708-6 1.28262-13 6.678486-6 7.64351-14 6.694264-6 4.20476-14 6.710042-6 2.13522-14 6.725820-6 0.0 7.201943-6 0.0 7.229918-6 7.379556-2 7.237397-6 9.328978-2 7.255123-6 1.704014-1 7.273958-6 2.972907-1 7.292792-6 4.715785-1 7.328694-6 8.809244-1 7.348987-6 1.338678+0 7.364771-6 1.642293+0 7.385064-6 2.112342+0 7.404089-6 2.665722+0 7.423854-6 3.392418+0 7.475922-6 5.565541+0 7.494079-6 6.015434+0 7.510736-6 6.105166+0 7.528246-6 5.798306+0 7.546848-6 5.062167+0 7.599273-6 2.226893+0 7.617312-6 1.437612+0 7.635351-6 8.567194-1 7.653389-6 4.712919-1 7.684408-6 6.723877-2 7.689466-6 8.304593-6 7.715548-6 1.133006-6 7.722440-6 2.70814-11 7.738956-6 2.61876-11 7.747200-6 2.48976-11 7.747515-6 2.008718-7 7.750339-6 2.528043-7 7.753137-6 3.166539-7 7.755911-6 3.948435-7 7.759572-6 5.263920-7 7.763191-6 6.966734-7 7.766472-6 8.953499-7 7.770011-6 1.169694-6 7.773510-6 1.518223-6 7.776967-6 1.958279-6 7.780385-6 2.510577-6 7.783762-6 3.199701-6 7.787100-6 4.054659-6 7.790399-6 5.109478-6 7.793660-6 6.403843-6 7.796882-6 7.983781-6 7.801121-6 1.062747-5 7.805293-6 1.402198-5 7.809401-6 1.834324-5 7.812943-6 2.304684-5 7.817427-6 3.063105-5 7.821832-6 4.031487-5 7.826160-6 5.256278-5 7.830413-6 6.791272-5 7.834592-6 8.698176-5 7.838698-6 1.104710-4 7.842732-6 1.391696-4 7.846696-6 1.739582-4 7.851875-6 2.315240-4 7.856937-6 3.042994-4 7.861882-6 3.951143-4 7.866713-6 5.071233-4 7.871431-6 6.437445-4 7.876040-6 8.086316-4 7.882019-6 1.079134-3 7.886382-6 1.325226-3 7.892737-6 1.773744-3 7.898873-6 2.330053-3 7.904796-6 3.008010-3 7.910514-6 3.820806-3 7.917836-6 5.135979-3 7.924303-6 6.609104-3 7.931504-6 1.283384-2 7.941951-6 2.280831-2 7.953453-6 3.522484-2 7.963313-6 4.745237-2 7.974644-6 6.794421-2 7.982817-6 1.130275-1 8.005113-6 2.551867-1 8.013901-6 3.181209-1 8.033530-6 5.148744-1 8.053159-6 7.818312-1 8.078004-6 1.213573+0 8.083222-6 1.314025+0 8.123044-6 3.315456+0 8.145396-6 4.837027+0 8.164223-6 6.495297+0 8.190858-6 9.514529+0 8.238174-6 1.527184+1 8.258146-6 1.697792+1 8.269052-6 1.749064+1 8.285892-6 1.765185+1 8.305276-6 1.670218+1 8.328223-6 1.428061+1 8.378562-6 7.487537+0 8.401555-6 5.010048+0 8.421451-6 3.515594+0 8.441347-6 2.553890+0 8.461242-6 1.984471+0 8.481138-6 1.335925+0 8.509085-6 1.282631+0 8.563477-6 1.100696+0 8.587031-6 1.054370+0 8.647664-6 1.053668+0 8.726773-6 1.044793+0 8.835899-6 9.898123-1 8.896137-6 9.296993-1 8.946771-6 8.189928-1 9.006746-6 6.427845-1 9.062242-6 4.726197-1 9.101822-6 3.879900-1 9.108428-6 3.771548-1 9.153284-6 1.269469+0 9.177321-6 2.120259+0 9.201139-6 3.425128+0 9.225093-6 5.215649+0 9.288821-6 1.088126+1 9.313828-6 1.227010+1 9.334996-6 1.265446+1 9.357097-6 1.212783+1 9.379410-6 1.076325+1 9.444716-6 5.027387+0 9.467135-6 3.459054+0 9.489555-6 2.343459+0 9.511974-6 1.650606+0 9.556812-6 9.100498-1 9.608633-6 1.151342+0 9.656712-6 1.291381+0 9.713419-6 1.535634+0 9.739903-6 1.695462+0 9.763619-6 1.894736+0 9.805267-6 2.355654+0 9.846862-6 2.842796+0 9.876573-6 3.052645+0 9.900342-6 3.094006+0 9.924111-6 3.006100+0 9.956793-6 2.713765+0 9.992156-6 2.303526+0 1.003701-5 2.056419+0 1.006626-5 2.084942+0 1.009399-5 2.318106+0 1.011980-5 2.678538+0 1.015817-5 3.411621+0 1.019628-5 4.128850+0 1.021727-5 4.384600+0 1.024193-5 4.478300+0 1.026658-5 4.338547+0 1.029298-5 3.962304+0 1.036212-5 2.609775+0 1.038678-5 2.220361+0 1.041026-5 1.945288+0 1.043486-5 1.755945+0 1.048404-5 1.528487+0 1.063819-5 1.563239+0 1.069091-5 1.669781+0 1.071685-5 1.752758+0 1.074934-5 1.916100+0 1.081064-5 2.369038+0 1.086583-5 2.773705+0 1.090645-5 2.908206+0 1.095125-5 2.850366+0 1.103082-5 2.619326+0 1.107265-5 2.644400+0 1.120543-5 3.127008+0 1.128736-5 3.189073+0 1.144168-5 3.232361+0 1.149645-5 3.376948+0 1.156048-5 3.715980+0 1.167489-5 4.697240+0 1.169862-5 4.819958+0 1.172982-5 4.832050+0 1.176374-5 4.676516+0 1.183358-5 4.023805+0 1.189390-5 3.436599+0 1.194666-5 3.097888+0 1.201245-5 2.873593+0 1.216117-5 2.852132+0 1.225245-5 2.986822+0 1.234615-5 3.310574+0 1.243642-5 3.674003+0 1.249661-5 3.727828+0 1.264010-5 3.434622+0 1.274354-5 3.513631+0 1.288828-5 3.664183+0 1.323751-5 3.776451+0 1.349586-5 3.592066+0 1.388961-5 3.777846+0 1.620748-5 5.365209+0 1.870043-5 7.423567+0 2.671151-5 1.507541+1 2.985383-5 1.725238+1 3.276800-5 1.824293+1 3.572024-5 1.823341+1 4.032397-5 1.676293+1 4.621127-5 1.393318+1 4.655250-5 1.432821+1 4.689373-5 1.572738+1 4.723496-5 1.734279+1 4.746244-5 1.725054+1 4.779701-5 1.552188+1 4.802742-5 1.702934+1 4.814525-5 1.898056+1 4.827918-5 2.291588+1 4.841335-5 2.856367+1 4.873312-5 4.460492+1 4.885585-5 4.857205+1 4.898386-5 4.962908+1 4.910277-5 4.764813+1 4.921737-5 4.339988+1 4.954908-5 2.622600+1 4.968140-5 2.079284+1 4.978431-5 1.757645+1 4.991663-5 1.493324+1 5.013716-5 1.207580+1 5.675871-5 9.476749+0 5.716952-5 9.712534+0 5.757388-5 1.061900+1 5.813554-5 1.239068+1 5.841753-5 1.271425+1 6.016558-5 1.207855+1 6.148320-5 1.055860+1 6.167880-5 1.051862+1 6.199749-5 1.218614+1 6.214722-5 1.358197+1 6.229900-5 1.570209+1 6.245077-5 1.854745+1 6.288358-5 2.825244+1 6.306046-5 3.066102+1 6.320697-5 3.119919+1 6.336534-5 3.001493+1 6.352532-5 2.726317+1 6.394130-5 1.763587+1 6.409308-5 1.475841+1 6.424486-5 1.262753+1 6.442693-5 1.101991+1 6.470020-5 9.409501+0 7.157211-5 7.409420+0 7.209749-5 7.809227+0 7.227365-5 8.141960+0 7.256814-5 9.063494+0 7.316545-5 1.121938+1 7.334000-5 1.152708+1 7.368387-5 1.138715+1 7.426969-5 1.035891+1 7.457806-5 1.031241+1 7.525287-5 1.120141+1 7.561197-5 1.107600+1 7.650067-5 8.817999+0 7.686041-5 8.213200+0 7.720694-5 7.825212+0 7.829949-5 7.354633+0 8.125143-5 6.798257+0 8.424928-5 6.673820+0 8.800458-5 6.288196+0 9.441235-5 5.364797+0 1.030736-4 4.432647+0 1.060014-4 4.212268+0 1.082051-4 4.257038+0 1.141232-4 3.786536+0 1.209848-4 3.585753+0 1.280000-4 3.605413+0 1.364583-4 3.910040+0 1.460573-4 4.581100+0 1.558045-4 5.577207+0 1.669168-4 7.046356+0 1.875534-4 1.043755+1 2.200720-4 1.601508+1 2.511886-4 2.042098+1 2.800000-4 2.343808+1 3.111980-4 2.559045+1 3.189729-4 2.700816+1 3.277311-4 2.710648+1 3.344945-4 2.817364+1 4.278985-4 2.893402+1 4.968383-4 2.860187+1 5.191743-4 2.970828+1 6.657902-4 2.705969+1 7.076250-4 2.635246+1 7.336250-4 2.603759+1 9.968794-4 2.055106+1 1.206598-3 1.719384+1 1.462178-3 1.410996+1 1.773169-3 1.140178+1 2.076008-3 9.504110+0 2.093031-3 9.710699+0 2.101884-3 1.029866+1 2.109520-3 1.135613+1 2.117303-3 1.308355+1 2.139475-3 1.978841+1 2.151121-3 2.222529+1 2.165936-3 2.347862+1 2.194588-3 2.449178+1 2.232846-3 2.831308+1 2.261420-3 2.922472+1 2.452266-3 3.073604+1 2.552906-3 2.969799+1 2.598824-3 2.937267+1 2.656182-3 3.186269+1 2.739383-3 3.107495+1 2.984704-3 2.777411+1 3.071622-3 2.802402+1 3.239678-3 2.620826+1 3.340185-3 2.604993+1 3.915862-3 2.088962+1 4.513685-3 1.704525+1 5.128614-3 1.411128+1 5.950196-3 1.129816+1 6.673930-3 9.478274+0 7.546751-3 7.837725+0 8.598226-3 6.388176+0 9.857120-3 5.142840+0 1.123741-2 4.169983+0 1.134890-2 4.199086+0 1.140513-2 4.429262+0 1.144811-2 4.849346+0 1.148975-2 5.520440+0 1.162870-2 8.634149+0 1.168821-2 9.450955+0 1.175246-2 9.795327+0 1.207531-2 9.521575+0 1.306973-2 8.391544+0 1.318257-2 8.650523+0 1.329689-2 9.582143+0 1.342815-2 1.063804+1 1.355392-2 1.086056+1 1.374297-2 1.091906+1 1.402485-2 1.179794+1 1.665036-2 9.133592+0 1.916806-2 7.296354+0 2.166134-2 5.982029+0 2.441684-2 4.909576+0 2.757180-2 4.012265+0 3.109466-2 3.276047+0 3.479005-2 2.707998+0 3.926522-2 2.199671+0 4.434853-2 1.783376+0 4.995366-2 1.450120+0 5.628476-2 1.176673+0 6.329076-2 9.576879-1 7.123877-2 7.769524-1 7.669570-2 6.858525-1 7.713267-2 7.051327-1 7.739660-2 7.518779-1 7.762471-2 8.360242-1 7.779910-2 9.390940-1 7.802044-2 1.128323+0 7.828135-2 1.434514+0 7.903893-2 2.493467+0 7.939176-2 2.829682+0 7.979748-2 3.019895+0 8.064737-2 3.067111+0 9.392291-2 2.410424+0 1.075002-1 1.939060+0 1.222942-1 1.566904+0 1.356119-1 1.318975+0 1.516937-1 1.093343+0 1.709492-1 8.945021-1 1.924753-1 7.334844-1 2.170221-1 6.000347-1 2.429210-1 4.974200-1 2.724802-1 4.121454-1 3.053942-1 3.432407-1 3.428295-1 2.862415-1 3.876044-1 2.373369-1 4.394309-1 1.970961-1 4.962547-1 1.658459-1 5.758542-1 1.355627-1 6.512534-1 1.157770-1 7.367901-1 9.965090-2 8.548206-1 8.404961-2 9.751300-1 7.302587-2 1.173413+0 5.970075-2 1.347258+0 5.111653-2 1.546860+0 4.376662-2 1.776032+0 3.747353-2 2.057881+0 3.177008-2 2.451607+0 2.608646-2 2.814822+0 2.233555-2 3.231848+0 1.912398-2 3.710658+0 1.637420-2 4.260405+0 1.401979-2 4.891600+0 1.200392-2 5.616308+0 1.027791-2 6.458512+0 8.785288-3 7.403736+0 7.534737-3 8.596279+0 6.373658-3 9.760024+0 5.523716-3 1.000000+1 1.143431-2 1 78000 7 0 1.950900+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-7.796097+1 3.003236-6-7.745440+1 4.431236-6-7.485763+1 4.750957-6-7.111825+1 4.843770-6-6.706376+1 4.876137-6-6.285778+1 4.923608-6-5.511293+1 4.943467-6-5.463437+1 4.958456-6-5.761159+1 4.976278-6-6.527314+1 4.997708-6-7.837609+1 5.022712-6-6.613387+1 5.039393-6-6.249888+1 5.060376-6-6.302247+1 5.132069-6-7.481879+1 5.179607-6-7.835219+1 5.348142-6-6.951492+1 5.403648-6-6.293693+1 5.422205-6-5.789942+1 5.459829-6-4.700319+1 5.477755-6-4.208108+1 5.491095-6-4.056092+1 5.504435-6-4.221978+1 5.513189-6-4.552906+1 5.524419-6-5.225020+1 5.539705-6-6.607687+1 5.551798-6-7.840635+1 5.570614-6-5.767295+1 5.583655-6-4.647924+1 5.594898-6-3.990661+1 5.604929-6-3.654424+1 5.616159-6-3.536136+1 5.631583-6-3.728357+1 5.699938-6-5.687704+1 5.743138-6-6.252894+1 5.831298-6-6.764990+1 6.040212-6-7.219409+1 6.725820-6-7.648834+1 7.292792-6-7.880549+1 7.458027-6-7.840794+1 7.493079-6-7.885176+1 7.580282-6-7.481064+1 7.912375-6-7.964874+1 8.086538-6-7.534462+1 8.190858-6-7.246969+1 8.241831-6-7.617616+1 8.268068-6-7.970842+1 8.331369-6-6.981127+1 8.378562-6-6.791659+1 8.548179-6-7.423342+1 9.097308-6-8.030978+1 9.241165-6-7.685227+1 9.309819-6-8.029240+1 9.396080-6-7.162755+1 9.458240-6-7.099743+1 9.636783-6-7.618290+1 9.876573-6-7.745169+1 1.004160-5-7.744581+1 1.019628-5-7.805693+1 1.036212-5-7.567654+1 1.087372-5-7.859281+1 1.169862-5-7.824237+1 1.194666-5-7.719578+1 1.253713-5-7.820825+1 2.126631-5-8.008263+1 2.875000-5-7.582470+1 3.952677-5-6.608424+1 4.354507-5-6.405958+1 4.600860-5-6.032591+1 4.706434-5-5.654440+1 4.761529-5-5.669724+1 4.783840-5-5.365748+1 4.830261-5-4.479726+1 4.843265-5-4.383089+1 4.856473-5-4.508652+1 4.870716-5-4.980463+1 4.885585-5-5.839652+1 4.892641-5-6.288807+1 4.911445-5-4.991760+1 4.925958-5-4.249525+1 4.938319-5-3.881046+1 4.953254-5-3.761940+1 4.968140-5-3.922967+1 5.026749-5-4.964492+1 5.072245-5-5.305829+1 5.192620-5-5.640696+1 5.705085-5-6.207433+1 5.800761-5-6.313396+1 5.909258-5-6.152397+1 6.094879-5-6.192490+1 6.136315-5-6.109781+1 6.245077-5-5.286936+1 6.271305-5-5.415506+1 6.297548-5-5.930432+1 6.306046-5-6.181237+1 6.349965-5-4.912231+1 6.373457-5-4.570677+1 6.394130-5-4.503356+1 6.503336-5-5.261253+1 6.657890-5-5.546739+1 7.157211-5-5.916072+1 7.284835-5-6.093680+1 7.413147-5-5.768901+1 7.525287-5-5.728758+1 7.628437-5-5.517283+1 8.175230-5-5.759635+1 1.230269-4-6.166164+1 1.778279-4-6.798275+1 2.200720-4-6.792584+1 3.171949-4-5.981082+1 3.763507-4-5.295491+1 4.772112-4-4.530630+1 5.160770-4-4.401111+1 5.575000-4-4.037793+1 6.657902-4-3.505630+1 7.914755-4-3.083165+1 9.374901-4-2.779694+1 1.127076-3-2.581374+1 1.377210-3-2.515066+1 1.631173-3-2.616424+1 1.830479-3-2.847636+1 1.958030-3-3.144706+1 2.030997-3-3.456130+1 2.076008-3-3.814047+1 2.104384-3-4.295354+1 2.123990-3-4.643627+1 2.139475-3-4.619832+1 2.171694-3-4.175258+1 2.217715-3-4.027656+1 2.274443-3-3.510115+1 2.362153-3-3.101361+1 2.530577-3-2.469694+1 2.586862-3-2.406627+1 2.629830-3-2.471937+1 2.656182-3-2.371696+1 2.699131-3-2.109374+1 2.761203-3-1.892629+1 2.866137-3-1.672547+1 2.963663-3-1.563948+1 3.018639-3-1.556466+1 3.116005-3-1.351797+1 3.212463-3-1.248988+1 3.274421-3-1.222273+1 3.365590-3-1.070576+1 3.505739-3-9.247698+0 3.706220-3-7.827619+0 3.994042-3-6.454800+0 4.302789-3-5.498244+0 4.631172-3-4.824971+0 5.009056-3-4.354871+0 5.514006-3-4.050733+0 6.187895-3-3.947897+0 6.973757-3-4.114278+0 7.888123-3-4.513461+0 8.977104-3-5.245790+0 9.857120-3-6.118458+0 1.049487-2-7.079400+0 1.091707-2-8.096050+0 1.117858-2-9.154892+0 1.132458-2-1.022265+1 1.153122-2-1.287496+1 1.159367-2-1.290203+1 1.168821-2-1.175352+1 1.181804-2-1.003390+1 1.193855-2-9.150315+0 1.215868-2-8.275090+0 1.246275-2-7.700436+0 1.279637-2-7.589035+0 1.301712-2-7.924214+0 1.327443-2-9.131635+0 1.335668-2-9.059018+0 1.359649-2-7.729286+0 1.388244-2-7.282075+0 1.414666-2-5.911240+0 1.439425-2-5.069002+0 1.477531-2-4.220197+0 1.534599-2-3.348397+0 1.588969-2-2.750273+0 1.665036-2-2.150365+0 1.737801-2-1.731764+0 1.813166-2-1.409316+0 1.888662-2-1.164807+0 1.976150-2-9.531987-1 2.077678-2-7.831201-1 2.166134-2-6.770957-1 2.257469-2-5.935885-1 2.373418-2-5.302018-1 2.486262-2-4.972515-1 2.616465-2-4.807095-1 2.830577-2-4.910347-1 2.997760-2-5.205796-1 3.479005-2-6.574158-1 5.628476-2-1.408512+0 6.329076-2-1.704051+0 6.861297-2-2.010060+0 7.229453-2-2.334420+0 7.449630-2-2.644203+0 7.605641-2-3.008351+0 7.700564-2-3.415115+0 7.787266-2-4.098449+0 7.835955-2-4.430211+0 7.879618-2-4.433102+0 7.929107-2-4.087624+0 8.014422-2-3.333812+0 8.087058-2-2.929804+0 8.194089-2-2.565289+0 8.356475-2-2.207484+0 8.551204-2-1.915256+0 8.833902-2-1.620594+0 9.134890-2-1.399836+0 9.579627-2-1.175272+0 1.014335-1-9.889608-1 1.075002-1-8.547429-1 1.139021-1-7.572248-1 1.222942-1-6.783474-1 1.356119-1-6.128355-1 1.516937-1-5.844352-1 1.780170-1-5.872614-1 3.288753-1-7.258503-1 4.784633-1-7.957716-1 7.745733-1-8.464639-1 1.947381+0-8.740553-1 5.880996+0-8.809022-1 1.000000+1-8.808302-1 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.127381-3 1.074428-6 1.485249-3 1.135936-6 1.819175-3 1.193600-6 2.201675-3 1.247660-6 2.632764-3 1.298342-6 3.110576-3 1.345855-6 3.632452-3 1.390399-6 4.195075-3 1.432160-6 4.794627-3 1.471310-6 5.431780-3 1.544716-6 6.830575-3 1.608947-6 8.305223-3 1.665149-6 9.822080-3 1.714325-6 1.134644-2 1.832656-6 1.592974-2 1.889132-6 1.864428-2 2.048000-6 2.849065-2 2.139631-6 3.500140-2 2.209513-6 4.098234-2 2.257577-6 4.566336-2 2.304138-6 5.076419-2 2.394351-6 6.227447-2 2.478926-6 7.537492-2 2.558215-6 9.015566-2 2.632548-6 1.066425-1 2.702236-6 1.248419-1 2.767568-6 1.447409-1 2.828817-6 1.663085-1 2.886238-6 1.894962-1 2.940070-6 2.142391-1 2.990537-6 2.404613-1 3.123790-6 3.255823-1 3.201760-6 3.877850-1 3.269984-6 4.529994-1 3.329679-6 5.202742-1 3.381913-6 5.885080-1 3.427618-6 6.566641-1 3.467609-6 7.239264-1 3.502601-6 7.898159-1 3.563838-6 9.217881-1 3.609766-6 1.037186+0 3.644212-6 1.135682+0 3.695880-6 1.305185+0 3.756773-6 1.543270+0 3.802894-6 1.759749+0 3.858238-6 2.070937+0 3.904359-6 2.383389+0 3.932031-6 2.600594+0 3.967039-6 2.913419+0 3.999858-6 3.252163+0 4.030627-6 3.618522+0 4.059472-6 4.014060+0 4.086514-6 4.440100+0 4.111867-6 4.897926+0 4.135634-6 5.388843+0 4.157917-6 5.914164+0 4.178806-6 6.475198+0 4.198390-6 7.073243+0 4.216751-6 7.709592+0 4.233963-6 8.385542+0 4.250100-6 9.102411+0 4.265228-6 9.861557+0 4.279411-6 1.066441+1 4.292707-6 1.151248+1 4.305172-6 1.240732+1 4.316859-6 1.335052+1 4.327814-6 1.434370+1 4.338085-6 1.538863+1 4.347715-6 1.648734+1 4.356742-6 1.764236+1 4.373668-6 2.022529+1 4.388478-6 2.310036+1 4.401438-6 2.630998+1 4.412777-6 2.988654+1 4.422699-6 3.383524+1 4.431380-6 3.812455+1 4.438977-6 4.268808+1 4.445623-6 4.743506+1 4.451439-6 5.226418+1 4.456528-6 5.707617+1 4.464878-6 6.631220+1 4.476810-6 8.282222+1 4.494138-6 1.146910+2 4.503208-6 1.352289+2 4.508737-6 1.489533+2 4.514265-6 1.634779+2 4.525322-6 1.943389+2 4.526704-6 1.983089+2 4.536379-6 2.262481+2 4.540180-6 2.370899+2 4.547436-6 2.570848+2 4.551236-6 2.669931+2 4.554865-6 2.759610+2 4.558493-6 2.843572+2 4.563330-6 2.945079+2 4.567995-6 3.029938+2 4.572314-6 3.095649+2 4.575942-6 3.140413+2 4.581297-6 3.187795+2 4.587776-6 3.213527+2 4.592678-6 3.209153+2 4.599425-6 3.169253+2 4.604799-6 3.109985+2 4.609548-6 3.038307+2 4.614699-6 2.941506+2 4.619879-6 2.826065+2 4.625179-6 2.691553+2 4.630124-6 2.553551+2 4.633728-6 2.446787+2 4.638482-6 2.299793+2 4.642186-6 2.181718+2 4.646947-6 2.027150+2 4.651785-6 1.868981+2 4.656838-6 1.704774+2 4.663533-6 1.492471+2 4.668370-6 1.345013+2 4.669752-6 1.304030+2 4.674935-6 1.155560+2 4.680118-6 1.016208+2 4.691175-6 7.531079+1 4.695429-6 6.649514+1 4.698830-6 5.997576+1 4.702232-6 5.392144+1 4.707069-6 4.609501+1 4.712414-6 3.847939+1 4.717979-6 3.163733+1 4.722769-6 2.657559+1 4.728982-6 2.105265+1 4.743689-6 1.197670+1 4.747881-6 1.024869+1 4.750618-6 9.293278+0 4.752473-6 8.718251+0 4.755469-6 7.905511+0 4.758091-6 7.304677+0 4.760683-6 6.805596+0 4.763234-6 6.400621+0 4.765745-6 6.080605+0 4.768217-6 5.837396+0 4.773083-6 5.551919+0 4.777797-6 5.500112+0 4.786932-6 5.962963+0 4.804058-6 8.634749+0 4.819044-6 1.296238+1 4.847975-6 2.906176+1 4.884805-6 8.133895+1 4.897724-6 1.158391+2 4.903869-6 1.365539+2 4.912651-6 1.717845+2 4.919180-6 2.027009+2 4.926121-6 2.403634+2 4.932335-6 2.784691+2 4.936063-6 3.033713+2 4.942123-6 3.471205+2 4.948183-6 3.948504+2 4.960302-6 5.013426+2 4.961817-6 5.155746+2 4.972422-6 6.196284+2 4.976588-6 6.620807+2 4.984542-6 7.441704+2 4.990696-6 8.074318+2 4.996661-6 8.673300+2 5.002816-6 9.264738+2 5.008781-6 9.800585+2 5.014083-6 1.023687+3 5.018983-6 1.059983+3 5.021658-6 1.077965+3 5.028760-6 1.118718+3 5.034305-6 1.142855+3 5.040765-6 1.161795+3 5.046558-6 1.170012+3 5.050059-6 1.170889+3 5.055459-6 1.166215+3 5.060952-6 1.154103+3 5.063059-6 1.147547+3 5.070137-6 1.118162+3 5.074975-6 1.091978+3 5.078237-6 1.071775+3 5.083014-6 1.038837+3 5.087653-6 1.003456+3 5.093619-6 9.538441+2 5.098921-6 9.066454+2 5.104034-6 8.591045+2 5.111798-6 7.845999+2 5.117858-6 7.257445+2 5.124675-6 6.600736+2 5.129978-6 6.101160+2 5.142097-6 5.021769+2 5.150240-6 4.361057+2 5.154217-6 4.060202+2 5.163307-6 3.429656+2 5.172875-6 2.853255+2 5.202913-6 1.579987+2 5.211853-6 1.331757+2 5.220688-6 1.131507+2 5.229385-6 9.709234+1 5.237947-6 8.419742+1 5.246374-6 7.379960+1 5.254670-6 6.535939+1 5.262836-6 5.844842+1 5.270875-6 5.273171+1 5.278788-6 4.795030+1 5.286577-6 4.390557+1 5.301913-6 3.741050+1 5.316769-6 3.247736+1 5.331161-6 2.860255+1 5.345103-6 2.547808+1 5.358609-6 2.290673+1 5.371694-6 2.075608+1 5.384369-6 1.893339+1 5.400000-6 1.697562+1 5.408544-6 1.601996+1 5.431592-6 1.377290+1 5.453199-6 1.202239+1 5.473456-6 1.062753+1 5.510251-6 8.563039+0 5.558238-6 6.530882+0 5.630548-6 4.385680+0 5.667238-6 3.582296+0 5.694756-6 3.071516+0 5.736032-6 2.423561+0 5.777309-6 1.890592+0 5.791529-6 1.729567+0 5.805749-6 1.578970+0 5.819969-6 1.438188+0 5.834189-6 1.306641+0 5.848409-6 1.183781+0 5.862630-6 1.069091+0 5.876850-6 9.620947-1 5.891070-6 8.623600-1 5.905290-6 7.695009-1 5.919510-6 6.831766-1 5.933730-6 6.030890-1 5.947950-6 5.289807-1 5.962170-6 4.606339-1 5.976390-6 3.978681-1 5.990611-6 3.405353-1 6.004831-6 2.885126-1 6.019051-6 2.416908-1 6.033271-6 1.999627-1 6.047491-6 1.632160-1 6.061711-6 1.313341-1 6.122836-6 4.755882-2 6.176321-6 4.566638-2 6.199720-6 6.728140-2 6.221657-6 1.001491-1 6.242223-6 1.408760-1 6.261504-6 1.851609-1 6.279579-6 2.281730-1 6.304469-6 2.804115-1 6.326840-6 3.099000-1 6.342202-6 3.162366-1 6.343017-6 3.162240-1 6.369170-6 2.975576-1 6.385835-6 2.697303-1 6.405801-6 2.263902-1 6.414858-6 2.052489-1 6.423349-6 1.856216-1 6.431309-6 1.680008-1 6.446234-6 1.389020-1 6.459294-6 1.199338-1 6.470722-6 1.102163-1 6.480720-6 1.083099-1 6.489469-6 1.126499-1 6.504780-6 1.364474-1 6.516263-6 1.705134-1 6.524876-6 2.068976-1 6.537794-6 2.818292-1 6.550713-6 3.853364-1 6.558774-6 4.666890-1 6.566836-6 5.625440-1 6.574898-6 6.743321-1 6.582960-6 8.035384-1 6.590652-6 9.444585-1 6.602811-6 1.205660+0 6.610917-6 1.408227+0 6.619023-6 1.635349+0 6.627129-6 1.888529+0 6.635235-6 2.169198+0 6.651448-6 2.818207+0 6.667660-6 3.591274+0 6.695826-6 5.242312+0 6.703895-6 5.785843+0 6.712916-6 6.427550+0 6.718329-6 6.828274+0 6.741852-6 8.671100+0 6.751320-6 9.435743+0 6.767816-6 1.074256+1 6.775878-6 1.134695+1 6.783574-6 1.188850+1 6.791270-6 1.238503+1 6.796586-6 1.269653+1 6.805308-6 1.314305+1 6.812430-6 1.344164+1 6.817772-6 1.362370+1 6.821779-6 1.373596+1 6.830794-6 1.391215+1 6.835861-6 1.396611+1 6.846686-6 1.398439+1 6.860991-6 1.386407+1 6.873137-6 1.373591+1 6.883286-6 1.371470+1 6.888311-6 1.376698+1 6.891179-6 1.382317+1 6.900555-6 1.418288+1 6.904980-6 1.446987+1 6.907748-6 1.469574+1 6.910343-6 1.494347+1 6.915057-6 1.549198+1 6.919200-6 1.609085+1 6.922841-6 1.671774+1 6.926144-6 1.737554+1 6.929035-6 1.802601+1 6.933777-6 1.925704+1 6.939102-6 2.090429+1 6.943550-6 2.251532+1 6.949269-6 2.493059+1 6.956485-6 2.858382+1 6.965764-6 3.438116+1 6.989438-6 5.568231+1 6.999681-6 6.814046+1 7.008275-6 8.019478+1 7.016868-6 9.371534+1 7.021970-6 1.024228+2 7.028012-6 1.133642+2 7.035128-6 1.270775+2 7.037143-6 1.311108+2 7.052315-6 1.633430+2 7.057854-6 1.757640+2 7.068427-6 2.000579+2 7.074335-6 2.137783+2 7.081384-6 2.300828+2 7.087762-6 2.446036+2 7.094341-6 2.591729+2 7.101214-6 2.737508+2 7.107097-6 2.855521+2 7.114549-6 2.993969+2 7.121061-6 3.103068+2 7.131131-6 3.246359+2 7.138995-6 3.334149+2 7.147123-6 3.400619+2 7.154826-6 3.439654+2 7.160987-6 3.453645+2 7.168907-6 3.449026+2 7.176783-6 3.419603+2 7.189807-6 3.319332+2 7.197989-6 3.226199+2 7.205920-6 3.116385+2 7.214647-6 2.976337+2 7.223106-6 2.824764+2 7.230625-6 2.679799+2 7.237876-6 2.533299+2 7.240293-6 2.483385+2 7.248886-6 2.303125+2 7.257479-6 2.121039+2 7.267147-6 1.917802+2 7.274666-6 1.763249+2 7.291943-6 1.428158+2 7.293783-6 1.394535+2 7.321383-6 9.484326+1 7.329989-6 8.331226+1 7.341249-6 6.994206+1 7.357425-6 5.398012+1 7.387172-6 3.331630+1 7.397971-6 2.810636+1 7.404729-6 2.535219+1 7.411487-6 2.294393+1 7.416686-6 2.130472+1 7.425784-6 1.883450+1 7.432608-6 1.727629+1 7.437726-6 1.625316+1 7.445403-6 1.492456+1 7.453080-6 1.381110+1 7.462032-6 1.274053+1 7.466508-6 1.228328+1 7.470984-6 1.187084+1 7.480423-6 1.112615+1 7.483569-6 1.091000+1 7.501590-6 9.897353+0 7.524116-6 8.947710+0 7.542729-6 8.248258+0 7.551649-6 7.910615+0 7.558339-6 7.651581+0 7.568374-6 7.250978+0 7.578409-6 6.835000+0 7.585051-6 6.551779+0 7.591693-6 6.263272+0 7.605209-6 5.665158+0 7.609714-6 5.464212+0 7.628281-6 4.642801+0 7.645755-6 3.904220+0 7.650842-6 3.699700+0 7.665740-6 3.136007+0 7.684470-6 2.514210+0 7.722223-6 1.583336+0 7.731442-6 1.418280+0 7.740660-6 1.274545+0 7.750025-6 1.148220+0 7.759390-6 1.039440+0 7.768755-6 9.458621-1 7.778120-6 8.652170-1 7.796850-6 7.345276-1 7.801532-6 7.069389-1 7.815580-6 6.335788-1 7.828255-6 5.774123-1 7.835860-6 5.476001-1 7.843775-6 5.194642-1 7.855646-6 4.827590-1 7.861582-6 4.669751-1 7.867518-6 4.530109-1 7.880619-6 4.291801-1 7.887170-6 4.212057-1 7.893721-6 4.160976-1 7.901100-6 4.139966-1 7.913008-6 4.193329-1 7.922652-6 4.320197-1 7.932295-6 4.524920-1 7.950832-6 5.138459-1 7.970263-6 6.072234-1 7.984446-6 6.908139-1 7.996250-6 7.672817-1 8.007897-6 8.460178-1 8.017998-6 9.146410-1 8.030924-6 9.997393-1 8.044759-6 1.083905+0 8.057883-6 1.155185+0 8.071675-6 1.222431+0 8.090633-6 1.315821+0 8.103611-6 1.400114+0 8.116120-6 1.522122+0 8.126050-6 1.668157+0 8.134031-6 1.831987+0 8.141025-6 2.020571+0 8.147839-6 2.254888+0 8.155305-6 2.581652+0 8.160256-6 2.846280+0 8.166220-6 3.223967+0 8.169763-6 3.482628+0 8.173645-6 3.798363+0 8.180439-6 4.441191+0 8.189355-6 5.484424+0 8.209792-6 8.948843+0 8.219467-6 1.123490+1 8.228057-6 1.368290+1 8.237549-6 1.690057+1 8.243875-6 1.937130+1 8.248141-6 2.119495+1 8.255607-6 2.470639+1 8.266807-6 3.077748+1 8.275207-6 3.599275+1 8.283671-6 4.183752+1 8.297005-6 5.224323+1 8.305198-6 5.934100+1 8.322310-6 7.572079+1 8.330704-6 8.440416+1 8.344127-6 9.891013+1 8.352725-6 1.084352+2 8.358693-6 1.150708+2 8.364107-6 1.210636+2 8.372990-6 1.307393+2 8.379790-6 1.379263+2 8.384997-6 1.432468+2 8.392439-6 1.505030+2 8.401502-6 1.586614+2 8.404157-6 1.608884+2 8.414798-6 1.689593+2 8.423545-6 1.744578+2 8.430602-6 1.780697+2 8.439926-6 1.816354+2 8.447696-6 1.835142+2 8.466691-6 1.838295+2 8.472638-6 1.826967+2 8.487416-6 1.774904+2 8.497242-6 1.722940+2 8.505832-6 1.667528+2 8.509932-6 1.638152+2 8.516082-6 1.590921+2 8.522443-6 1.538519+2 8.531714-6 1.456756+2 8.540857-6 1.371308+2 8.543905-6 1.342034+2 8.554045-6 1.242774+2 8.564186-6 1.142144+2 8.575594-6 1.029521+2 8.584467-6 9.437268+1 8.604748-6 7.584009+1 8.611719-6 6.992275+1 8.625029-6 5.938967+1 8.635169-6 5.208470+1 8.646945-6 4.441432+1 8.655380-6 3.946100+1 8.663431-6 3.514891+1 8.676818-6 2.885368+1 8.692826-6 2.268677+1 8.714170-6 1.656440+1 8.735514-6 1.255373+1 8.740850-6 1.184532+1 8.748854-6 1.098543+1 8.752856-6 1.064292+1 8.756857-6 1.035643+1 8.761732-6 1.008083+1 8.764259-6 9.968768+0 8.768681-6 9.821830+0 8.775314-6 9.714825+0 8.781947-6 9.737916+0 8.784642-6 9.782957+0 8.789359-6 9.909536+0 8.796434-6 1.020890+1 8.801741-6 1.051551+1 8.808258-6 1.098298+1 8.815711-6 1.163269+1 8.819268-6 1.198346+1 8.831808-6 1.341083+1 8.857484-6 1.708524+1 8.870840-6 1.927141+1 8.881778-6 2.113511+1 8.889760-6 2.251095+1 8.903236-6 2.481370+1 8.912670-6 2.637441+1 8.922777-6 2.796545+1 8.932885-6 2.944230+1 8.939286-6 3.030547+1 8.950657-6 3.167702+1 8.954447-6 3.208358+1 8.976010-6 3.385406+1 8.986054-6 3.433963+1 9.002114-6 3.464587+1 9.011075-6 3.456562+1 9.019628-6 3.432577+1 9.028182-6 3.393291+1 9.032994-6 3.364773+1 9.041415-6 3.304398+1 9.047731-6 3.250922+1 9.057205-6 3.158749+1 9.066679-6 3.053871+1 9.079537-6 2.894731+1 9.091261-6 2.736653+1 9.098358-6 2.636615+1 9.105385-6 2.535311+1 9.126948-6 2.218448+1 9.148511-6 1.907010+1 9.156829-6 1.791594+1 9.181785-6 1.469263+1 9.196800-6 1.295750+1 9.216186-6 1.096365+1 9.249164-6 8.194159+0 9.276096-6 6.447251+0 9.356892-6 3.174636+0 9.374181-6 2.756110+0 9.385716-6 2.523845+0 9.403032-6 2.245033+0 9.414576-6 2.105906+0 9.426120-6 2.004429+0 9.449207-6 1.914410+0 9.454979-6 1.915113+0 9.472295-6 1.970587+0 9.478067-6 2.006038+0 9.495382-6 2.158340+0 9.504890-6 2.267889+0 9.519809-6 2.469239+0 9.544287-6 2.848558+0 9.560557-6 3.108943+0 9.564645-6 3.172713+0 9.576189-6 3.345093+0 9.587732-6 3.501253+0 9.590618-6 3.537079+0 9.605770-6 3.699608+0 9.613706-6 3.765398+0 9.633908-6 3.864519+0 9.641844-6 3.875115+0 9.656995-6 3.850562+0 9.664333-6 3.818202+0 9.670848-6 3.778896+0 9.681989-6 3.690328+0 9.690415-6 3.607228+0 9.697775-6 3.524801+0 9.710956-6 3.358472+0 9.715696-6 3.294002+0 9.727104-6 3.131916+0 9.743785-6 2.886297+0 9.774637-6 2.450849+0 9.795520-6 2.200737+0 9.802981-6 2.123564+0 9.814171-6 2.020913+0 9.825361-6 1.934236+0 9.842305-6 1.832478+0 9.852412-6 1.787414+0 9.858476-6 1.765417+0 9.870375-6 1.731975+0 9.882273-6 1.709443+0 9.900121-6 1.690800+0 9.938593-6 1.679901+0 9.964770-6 1.672310+0 9.980726-6 1.662597+0 1.000466-5 1.639514+0 1.002859-5 1.607875+0 1.008461-5 1.521639+0 1.011149-5 1.484773+0 1.013644-5 1.457900+0 1.015487-5 1.444401+0 1.017056-5 1.438533+0 1.018759-5 1.439834+0 1.019805-5 1.445673+0 1.020612-5 1.453399+0 1.021395-5 1.464003+0 1.022707-5 1.489922+0 1.023776-5 1.520034+0 1.024795-5 1.557800+0 1.025768-5 1.603448+0 1.026316-5 1.633796+0 1.026924-5 1.671849+0 1.027513-5 1.713437+0 1.028548-5 1.798873+0 1.029435-5 1.885879+0 1.029820-5 1.927985+0 1.030747-5 2.040744+0 1.032160-5 2.247014+0 1.032866-5 2.366996+0 1.033573-5 2.498996+0 1.035165-5 2.843236+0 1.036448-5 3.170138+0 1.040826-5 4.632284+0 1.042608-5 5.370902+0 1.044247-5 6.108832+0 1.045767-5 6.828907+0 1.046844-5 7.351718+0 1.047759-5 7.798615+0 1.048975-5 8.388149+0 1.049781-5 8.771878+0 1.051066-5 9.362715+0 1.051903-5 9.728936+0 1.053002-5 1.018020+1 1.054061-5 1.057730+1 1.054414-5 1.070025+1 1.055616-5 1.107921+1 1.056817-5 1.139195+1 1.058218-5 1.166495+1 1.059308-5 1.180475+1 1.060679-5 1.188741+1 1.062144-5 1.186037+1 1.062791-5 1.181109+1 1.064559-5 1.156548+1 1.065071-5 1.146542+1 1.065969-5 1.126142+1 1.066641-5 1.108577+1 1.067650-5 1.078907+1 1.068660-5 1.045686+1 1.069560-5 1.013477+1 1.070910-5 9.614564+0 1.072260-5 9.061265+0 1.073186-5 8.669129+0 1.074112-5 8.271224+0 1.076026-5 7.446021+0 1.076664-5 7.174046+0 1.079232-5 6.119795+0 1.081376-5 5.313612+0 1.086092-5 3.860386+0 1.088664-5 3.268747+0 1.091236-5 2.813660+0 1.094676-5 2.398669+0 1.096380-5 2.266859+0 1.102162-5 2.136634+0 1.103518-5 2.170759+0 1.104875-5 2.227673+0 1.106895-5 2.352839+0 1.107587-5 2.406302+0 1.110300-5 2.663389+0 1.116404-5 3.444200+0 1.118439-5 3.729512+0 1.120304-5 3.982941+0 1.121194-5 4.097824+0 1.122529-5 4.259434+0 1.123864-5 4.404929+0 1.125221-5 4.532878+0 1.126577-5 4.638020+0 1.127934-5 4.718299+0 1.129290-5 4.772512+0 1.132003-5 4.802558+0 1.132681-5 4.794468+0 1.134716-5 4.736924+0 1.135662-5 4.695192+0 1.137082-5 4.618248+0 1.139590-5 4.453093+0 1.144948-5 4.081463+0 1.145646-5 4.039870+0 1.148280-5 3.909905+0 1.150812-5 3.831114+0 1.152875-5 3.801135+0 1.154845-5 3.798442+0 1.156815-5 3.816612+0 1.159608-5 3.867517+0 1.166528-5 4.032400+0 1.170533-5 4.109118+0 1.174361-5 4.160679+0 1.191349-5 4.309316+0 1.201486-5 4.426579+0 1.217102-5 4.651717+0 1.250672-5 5.186541+0 1.280214-5 5.748614+0 1.362122-5 7.659007+0 1.390000-5 8.432532+0 1.471219-5 1.114191+1 1.543212-5 1.408586+1 1.639266-5 1.883615+1 1.783520-5 2.797840+1 1.888399-5 3.625130+1 1.981602-5 4.487796+1 2.089296-5 5.642456+1 2.264644-5 7.913912+1 2.398833-5 9.990488+1 2.540973-5 1.248739+2 2.661837-5 1.483190+2 2.786121-5 1.740686+2 2.900000-5 1.987864+2 3.000000-5 2.208795+2 3.090295-5 2.408330+2 3.171745-5 2.583953+2 3.224171-5 2.696064+2 3.281043-5 2.814166+2 3.354420-5 2.960749+2 3.409870-5 3.068731+2 3.505093-5 3.241034+2 3.625000-5 3.435473+2 3.730000-5 3.584144+2 3.837500-5 3.710634+2 3.961056-5 3.832022+2 4.035360-5 3.887340+2 4.160826-5 3.959495+2 4.280092-5 4.000113+2 4.380227-5 4.014964+2 4.483713-5 4.016318+2 4.611209-5 3.990543+2 4.702635-5 3.951269+2 4.786608-5 3.899719+2 4.855800-5 3.842593+2 4.929493-5 3.763132+2 4.997931-5 3.669003+2 5.045205-5 3.625535+2 5.058743-5 3.627215+2 5.096315-5 3.690957+2 5.123025-5 3.815325+2 5.141217-5 3.959066+2 5.157138-5 4.138128+2 5.169774-5 4.321959+2 5.182306-5 4.543053+2 5.193970-5 4.782485+2 5.232976-5 5.746632+2 5.247817-5 6.130130+2 5.257777-5 6.375974+2 5.267756-5 6.606263+2 5.278656-5 6.833266+2 5.293881-5 7.095212+2 5.304963-5 7.236182+2 5.312917-5 7.307138+2 5.323813-5 7.358568+2 5.334969-5 7.352176+2 5.339545-5 7.331702+2 5.347021-5 7.276003+2 5.357458-5 7.153964+2 5.363754-5 7.057409+2 5.370926-5 6.929041+2 5.383675-5 6.662202+2 5.396424-5 6.363552+2 5.436942-5 5.427186+2 5.445800-5 5.255596+2 5.457065-5 5.061854+2 5.472676-5 4.838382+2 5.491594-5 4.629977+2 5.523306-5 4.392353+2 5.568267-5 4.183140+2 5.759190-5 3.599842+2 5.785761-5 3.545391+2 5.801703-5 3.528874+2 5.816649-5 3.527655+2 5.829668-5 3.538764+2 5.842699-5 3.560912+2 5.857249-5 3.596873+2 5.915073-5 3.778893+2 5.933323-5 3.821481+2 5.952651-5 3.851270+2 5.978422-5 3.870561+2 6.061408-5 3.891403+2 6.156863-5 3.927547+2 6.249895-5 3.933573+2 6.442557-5 3.902812+2 6.579838-5 3.850364+2 6.703119-5 3.768614+2 6.780410-5 3.682542+2 6.868142-5 3.549701+2 6.901947-5 3.534769+2 6.918849-5 3.550604+2 6.936247-5 3.588494+2 6.953149-5 3.648261+2 6.969557-5 3.727385+2 6.983443-5 3.808290+2 7.018465-5 4.042894+2 7.036110-5 4.158367+2 7.053012-5 4.254051+2 7.069915-5 4.327392+2 7.081271-5 4.361597+2 7.091043-5 4.380696+2 7.103720-5 4.391289+2 7.120622-5 4.382157+2 7.137525-5 4.350493+2 7.154427-5 4.302075+2 7.171748-5 4.241582+2 7.221649-5 4.056199+2 7.261949-5 3.932902+2 7.359476-5 3.737558+2 7.481464-5 3.557513+2 7.510179-5 3.525290+2 7.537270-5 3.502510+2 7.581515-5 3.483881+2 7.638705-5 3.487453+2 7.900038-5 3.545797+2 8.011175-5 3.542709+2 8.374690-5 3.476357+2 8.670000-5 3.392596+2 8.953120-5 3.279051+2 9.110774-5 3.211042+2 9.501825-5 3.092990+2 1.001413-4 2.988389+2 1.053423-4 2.855664+2 1.101363-4 2.701708+2 1.106790-4 2.690282+2 1.121154-4 2.674752+2 1.130573-4 2.658361+2 1.176766-4 2.523041+2 1.203875-4 2.439689+2 1.230269-4 2.357370+2 1.258926-4 2.267055+2 1.282235-4 2.192814+2 1.333522-4 2.029674+2 1.375335-4 1.900092+2 1.453765-4 1.673150+2 1.557816-4 1.418873+2 1.589351-4 1.355365+2 1.625324-4 1.291262+2 1.655554-4 1.244960+2 1.698244-4 1.192091+2 1.745000-4 1.151421+2 1.810131-4 1.127570+2 1.873995-4 1.143625+2 1.905461-4 1.165688+2 1.959539-4 1.227778+2 2.006781-4 1.305559+2 2.038797-4 1.369402+2 2.077407-4 1.460004+2 2.125000-4 1.589584+2 2.187000-4 1.782739+2 2.324127-4 2.290490+2 2.438905-4 2.780059+2 2.511886-4 3.114650+2 2.600160-4 3.535634+2 2.706064-4 4.056182+2 2.799961-4 4.526736+2 2.897583-4 5.014478+2 3.002844-4 5.526159+2 3.115211-4 6.038024+2 3.195301-4 6.362618+2 3.233961-4 6.505466+2 3.265436-4 6.649002+2 3.288308-4 6.794442+2 3.344314-4 7.225380+2 3.372699-4 7.395396+2 3.438695-4 7.705278+2 3.465758-4 7.877833+2 3.507856-4 8.210428+2 3.532969-4 8.387910+2 3.560313-4 8.536647+2 3.612266-4 8.750668+2 3.760000-4 9.329779+2 4.062094-4 1.049284+3 4.308025-4 1.136480+3 4.539901-4 1.209070+3 4.792599-4 1.276961+3 4.986636-4 1.318555+3 5.119390-4 1.337032+3 5.179528-4 1.342485+3 5.217139-4 1.350222+3 5.252748-4 1.363954+3 5.432503-4 1.459680+3 5.511192-4 1.494718+3 5.688529-4 1.550224+3 5.931619-4 1.606146+3 6.158931-4 1.646157+3 6.238521-4 1.663105+3 6.319051-4 1.684483+3 6.538816-4 1.733993+3 6.829599-4 1.781194+3 7.120328-4 1.814786+3 7.366061-4 1.834454+3 7.432937-4 1.847357+3 7.586809-4 1.883509+3 7.899466-4 1.923899+3 8.323625-4 1.963049+3 8.815244-4 1.997463+3 9.406705-4 2.026961+3 1.005952-3 2.048230+3 1.073063-3 2.059146+3 1.139123-3 2.060426+3 1.221524-3 2.051019+3 1.303167-3 2.024556+3 1.383833-3 1.990740+3 1.473692-3 1.946599+3 1.568489-3 1.891269+3 1.654817-3 1.830865+3 1.737916-3 1.759523+3 1.807118-3 1.687964+3 1.872099-3 1.610981+3 1.927525-3 1.535655+3 1.976982-3 1.457876+3 2.016829-3 1.384605+3 2.051453-3 1.310688+3 2.077304-3 1.246665+3 2.101605-3 1.176484+3 2.122252-3 1.105596+3 2.138781-3 1.037003+3 2.152406-3 9.692192+2 2.162453-3 9.127100+2 2.180251-3 8.119681+2 2.185745-3 7.866798+2 2.190300-3 7.701357+2 2.193204-3 7.621953+2 2.195647-3 7.572892+2 2.198371-3 7.538748+2 2.201518-3 7.527734+2 2.205012-3 7.552307+2 2.209420-3 7.638490+2 2.214420-3 7.806758+2 2.218374-3 7.986898+2 2.223064-3 8.244184+2 2.240254-3 9.371767+2 2.245241-3 9.689933+2 2.250410-3 9.994290+2 2.258040-3 1.038857+3 2.265632-3 1.072322+3 2.286332-3 1.156216+3 2.293754-3 1.192150+3 2.300700-3 1.230790+3 2.327964-3 1.412525+3 2.336769-3 1.470125+3 2.346761-3 1.529137+3 2.361216-3 1.601075+3 2.378209-3 1.668951+3 2.404155-3 1.752626+3 2.440029-3 1.850401+3 2.477015-3 1.937712+3 2.515015-3 2.013164+3 2.553654-3 2.074569+3 2.593092-3 2.122052+3 2.626651-3 2.147474+3 2.651391-3 2.153259+3 2.698135-3 2.138786+3 2.709194-3 2.141837+3 2.720725-3 2.154266+3 2.728782-3 2.169546+3 2.744521-3 2.213926+3 2.779037-3 2.337330+3 2.791137-3 2.374529+3 2.807344-3 2.414681+3 2.827928-3 2.452209+3 2.855124-3 2.487254+3 2.876764-3 2.508161+3 2.909019-3 2.531854+3 2.951210-3 2.553404+3 2.994230-3 2.566398+3 3.034933-3 2.569525+3 3.111667-3 2.553400+3 3.130955-3 2.556240+3 3.154076-3 2.571416+3 3.212338-3 2.630990+3 3.235937-3 2.646547+3 3.266667-3 2.657899+3 3.301595-3 2.662443+3 3.380137-3 2.659404+3 3.413498-3 2.672087+3 3.466785-3 2.706473+3 3.495839-3 2.720660+3 3.567334-3 2.738396+3 3.706422-3 2.746302+3 3.797988-3 2.742778+3 3.902119-3 2.731924+3 4.086454-3 2.700588+3 4.401221-3 2.630364+3 4.632718-3 2.572283+3 5.023607-3 2.464835+3 5.506413-3 2.326605+3 5.939774-3 2.207103+3 6.413278-3 2.080552+3 6.948243-3 1.944946+3 7.563973-3 1.799986+3 8.198794-3 1.661114+3 8.550247-3 1.588308+3 8.925344-3 1.513053+3 9.311148-3 1.437964+3 9.602531-3 1.382626+3 9.926519-3 1.321988+3 1.020163-2 1.270346+3 1.046220-2 1.221155+3 1.066350-2 1.182439+3 1.084008-2 1.147436+3 1.100826-2 1.112693+3 1.115027-2 1.081649+3 1.127229-2 1.052908+3 1.137529-2 1.026287+3 1.146608-2 1.000013+3 1.153851-2 9.759777+2 1.159595-2 9.540839+2 1.168079-2 9.165586+2 1.178385-2 8.689091+2 1.182745-2 8.530346+2 1.187060-2 8.428679+2 1.189296-2 8.402762+2 1.191553-2 8.396497+2 1.195771-2 8.437189+2 1.200346-2 8.547642+2 1.209478-2 8.879180+2 1.215071-2 9.085601+2 1.218213-2 9.187903+2 1.223016-2 9.319372+2 1.227892-2 9.421992+2 1.233555-2 9.507773+2 1.240505-2 9.576007+2 1.247886-2 9.617327+2 1.258273-2 9.639342+2 1.268186-2 9.632709+2 1.278064-2 9.605059+2 1.288767-2 9.554969+2 1.301585-2 9.471055+2 1.313523-2 9.369327+2 1.324918-2 9.246797+2 1.333975-2 9.125666+2 1.341794-2 8.998755+2 1.364592-2 8.563634+2 1.371753-2 8.479124+2 1.377842-2 8.456868+2 1.384701-2 8.485077+2 1.405926-2 8.685876+2 1.430954-2 8.782285+2 1.442271-2 8.872760+2 1.464422-2 9.091841+2 1.480438-2 9.178150+2 1.491550-2 9.204252+2 1.518544-2 9.209254+2 1.546057-2 9.167678+2 1.584893-2 9.065575+2 1.649027-2 8.833408+2 1.731482-2 8.480032+2 1.840772-2 7.990152+2 1.954852-2 7.488348+2 2.108932-2 6.855517+2 2.330577-2 6.057633+2 2.603436-2 5.236698+2 2.882897-2 4.549836+2 3.249611-2 3.831281+2 3.532849-2 3.383294+2 3.812608-2 3.007873+2 4.122703-2 2.651275+2 5.025358-2 1.902699+2 5.430055-2 1.665421+2 5.877944-2 1.446822+2 6.358137-2 1.252076+2 6.805553-2 1.098906+2 7.126579-2 1.000911+2 7.373853-2 9.293241+1 7.555249-2 8.769629+1 7.686449-2 8.374165+1 7.787299-2 8.040807+1 7.831477-2 7.877152+1 7.868000-2 7.728363+1 7.931421-2 7.435246+1 8.011976-2 7.048430+1 8.045391-2 6.926619+1 8.069693-2 6.867540+1 8.101395-2 6.834758+1 8.133790-2 6.851943+1 8.179067-2 6.939936+1 8.263249-2 7.155650+1 8.307252-2 7.238844+1 8.361219-2 7.300647+1 8.438858-2 7.333205+1 8.548206-2 7.318856+1 8.662839-2 7.265371+1 8.832890-2 7.151260+1 9.126564-2 6.909136+1 9.411738-2 6.650990+1 9.894152-2 6.208339+1 1.046401-1 5.707954+1 1.111328-1 5.187395+1 1.194807-1 4.598903+1 1.347508-1 3.732842+1 1.593789-1 2.768783+1 2.006033-1 1.824238+1 2.443914-1 1.265549+1 3.088317-1 8.132873+0 4.058990-1 4.812892+0 5.905409-1 2.322610+0 9.262562-1 9.604216-1 1.477239+0 3.817342-1 2.947480+0 9.653163-2 8.901248+0 1.060571-2 2.688134+1 1.163089-3 8.118035+1 1.275325-4 2.451607+2 1.398369-5 7.403736+2 1.533281-6 2.511886+3 1.332060-7 7.943282+3 1.332060-8 2.511886+4 1.332060-9 7.943282+4 1.33206-10 1.000000+5 8.40473-11 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.315100-6 1.258900-6 2.084400-6 1.584900-6 3.303500-6 1.995300-6 5.235600-6 2.511900-6 8.297900-6 3.162300-6 1.315100-5 3.981100-6 2.084300-5 5.011900-6 3.303400-5 6.309600-6 5.235500-5 7.943300-6 8.297600-5 1.000000-5 1.315100-4 1.258900-5 2.084200-4 1.584900-5 3.303200-4 1.995300-5 5.235100-4 2.511900-5 8.296900-4 3.162300-5 1.314700-3 3.981100-5 2.082800-3 5.011900-5 3.299500-3 6.309600-5 5.227400-3 7.943300-5 8.282400-3 1.000000-4 1.311700-2 1.258900-4 2.076700-2 1.584900-4 3.283600-2 1.995300-4 5.188900-2 2.511900-4 8.183700-2 3.162300-4 1.287300-1 3.981100-4 2.016300-1 5.011900-4 3.138200-1 6.309600-4 4.816400-1 7.943300-4 7.255900-1 1.000000-3 1.069400+0 1.258900-3 1.536200+0 1.584900-3 2.147900+0 1.995300-3 2.926300+0 2.511900-3 3.896000+0 3.162300-3 5.078600+0 3.981100-3 6.505900+0 5.011900-3 8.236600+0 6.309600-3 1.031300+1 7.943300-3 1.269200+1 1.000000-2 1.526100+1 1.258900-2 1.788900+1 1.584900-2 2.057000+1 1.995300-2 2.329100+1 2.511900-2 2.597400+1 3.162300-2 2.845000+1 3.981100-2 3.052100+1 5.011900-2 3.205800+1 6.309600-2 3.303400+1 7.943300-2 3.344000+1 1.000000-1 3.329100+1 1.258900-1 3.260100+1 1.584900-1 3.145900+1 1.995300-1 2.996300+1 2.511900-1 2.822200+1 3.162300-1 2.632400+1 3.981100-1 2.434100+1 5.011900-1 2.233300+1 6.309600-1 2.034400+1 7.943300-1 1.840600+1 1.000000+0 1.654100+1 1.258900+0 1.476600+1 1.584900+0 1.309600+1 1.995300+0 1.153700+1 2.511900+0 1.009800+1 3.162300+0 8.782700+0 3.981100+0 7.593200+0 5.011900+0 6.527900+0 6.309600+0 5.582200+0 7.943300+0 4.750900+0 1.000000+1 4.025300+0 1.258900+1 3.396800+0 1.584900+1 2.855800+0 1.995300+1 2.393100+0 2.511900+1 1.999300+0 3.162300+1 1.665700+0 3.981100+1 1.384500+0 5.011900+1 1.148200+0 6.309600+1 9.502700-1 7.943300+1 7.850500-1 1.000000+2 6.474900-1 1.258900+2 5.332200-1 1.584900+2 4.385100-1 1.995300+2 3.601600-1 2.511900+2 2.954700-1 3.162300+2 2.421300-1 3.981100+2 1.982200-1 5.011900+2 1.621200-1 6.309600+2 1.324800-1 7.943300+2 1.081700-1 1.000000+3 8.825600-2 1.258900+3 7.195500-2 1.584900+3 5.862400-2 1.995300+3 4.773200-2 2.511900+3 3.884000-2 3.162300+3 3.158700-2 3.981100+3 2.567400-2 5.011900+3 2.085600-2 6.309600+3 1.693500-2 7.943300+3 1.374400-2 1.000000+4 1.114900-2 1.258900+4 9.040200-3 1.584900+4 7.327200-3 1.995300+4 5.936400-3 2.511900+4 4.807800-3 3.162300+4 3.892200-3 3.981100+4 3.149900-3 5.011900+4 2.548300-3 6.309600+4 2.060900-3 7.943300+4 1.666200-3 1.000000+5 1.346600-3 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159547-4 3.981072-4 3.976752-4 5.011872-4 5.005043-4 6.309573-4 6.298779-4 7.943282-4 7.926336-4 1.000000-3 9.973390-4 1.258925-3 1.254756-3 1.584893-3 1.578374-3 1.995262-3 1.985077-3 2.511886-3 2.495979-3 3.162278-3 3.137433-3 3.981072-3 3.942188-3 5.011872-3 4.951100-3 6.309573-3 6.214423-3 7.943282-3 7.794547-3 1.000000-2 9.769567-3 1.258925-2 1.223328-2 1.584893-2 1.529987-2 1.995262-2 1.910643-2 2.511886-2 2.381794-2 3.162278-2 2.963270-2 3.981072-2 3.678930-2 5.011872-2 4.556674-2 6.309573-2 5.629133-2 7.943282-2 6.933190-2 1.000000-1 8.510877-2 1.258925-1 1.041651-1 1.584893-1 1.270652-1 1.995262-1 1.545403-1 2.511886-1 1.872670-1 3.162278-1 2.262238-1 3.981072-1 2.723913-1 5.011872-1 3.269885-1 6.309573-1 3.914415-1 7.943282-1 4.673276-1 1.000000+0 5.567081-1 1.258925+0 6.621277-1 1.584893+0 7.864160-1 1.995262+0 9.335147-1 2.511886+0 1.108093+0 3.162278+0 1.315817+0 3.981072+0 1.563807+0 5.011872+0 1.860707+0 6.309573+0 2.216958+0 7.943282+0 2.645397+0 1.000000+1 3.162031+0 1.258925+1 3.786238+0 1.584893+1 4.541271+0 1.995262+1 5.456538+0 2.511886+1 6.567347+0 3.162278+1 7.917368+0 3.981072+1 9.559823+0 5.011872+1 1.156061+1 6.309573+1 1.400032+1 7.943282+1 1.697796+1 1.000000+2 2.061536+1 1.258925+2 2.506267+1 1.584893+2 3.050408+1 1.995262+2 3.716762+1 2.511886+2 4.533280+1 3.162278+2 5.534540+1 3.981072+2 6.762987+1 5.011872+2 8.271323+1 6.309573+2 1.012428+2 7.943282+2 1.240190+2 1.000000+3 1.520283+2 1.258925+3 1.864939+2 1.584893+3 2.289154+2 1.995262+3 2.811723+2 2.511886+3 3.455489+2 3.162278+3 4.249335+2 3.981072+3 5.228237+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739835-9 3.981072-5 4.341878-9 5.011872-5 6.881025-9 6.309573-5 1.090533-8 7.943282-5 1.728321-8 1.000000-4 2.738694-8 1.258925-4 4.339688-8 1.584893-4 6.874535-8 1.995262-4 1.089085-7 2.511886-4 1.724795-7 3.162278-4 2.730334-7 3.981072-4 4.320189-7 5.011872-4 6.829788-7 6.309573-4 1.079475-6 7.943282-4 1.694663-6 1.000000-3 2.661030-6 1.258925-3 4.169091-6 1.584893-3 6.519625-6 1.995262-3 1.018532-5 2.511886-3 1.590775-5 3.162278-3 2.484441-5 3.981072-3 3.888419-5 5.011872-3 6.077267-5 6.309573-3 9.515051-5 7.943282-3 1.487351-4 1.000000-2 2.304334-4 1.258925-2 3.559732-4 1.584893-2 5.490591-4 1.995262-2 8.461926-4 2.511886-2 1.300926-3 3.162278-2 1.990077-3 3.981072-2 3.021419-3 5.011872-2 4.551986-3 6.309573-2 6.804408-3 7.943282-2 1.010093-2 1.000000-1 1.489123-2 1.258925-1 2.172743-2 1.584893-1 3.142410-2 1.995262-1 4.498591-2 2.511886-1 6.392162-2 3.162278-1 9.000395-2 3.981072-1 1.257159-1 5.011872-1 1.741987-1 6.309573-1 2.395159-1 7.943282-1 3.270006-1 1.000000+0 4.432919-1 1.258925+0 5.967977-1 1.584893+0 7.984772-1 1.995262+0 1.061748+0 2.511886+0 1.403793+0 3.162278+0 1.846461+0 3.981072+0 2.417265+0 5.011872+0 3.151165+0 6.309573+0 4.092615+0 7.943282+0 5.297885+0 1.000000+1 6.837969+0 1.258925+1 8.803016+0 1.584893+1 1.130766+1 1.995262+1 1.449609+1 2.511886+1 1.855152+1 3.162278+1 2.370541+1 3.981072+1 3.025089+1 5.011872+1 3.855812+1 6.309573+1 4.909541+1 7.943282+1 6.245487+1 1.000000+2 7.938464+1 1.258925+2 1.008299+2 1.584893+2 1.279852+2 1.995262+2 1.623586+2 2.511886+2 2.058558+2 3.162278+2 2.608824+2 3.981072+2 3.304773+2 5.011872+2 4.184740+2 6.309573+2 5.297145+2 7.943282+2 6.703093+2 1.000000+3 8.479717+2 1.258925+3 1.072432+3 1.584893+3 1.355978+3 1.995262+3 1.714090+3 2.511886+3 2.166338+3 3.162278+3 2.737344+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 8.300000-6 4.029050+6 8.609938-6 3.505512+6 9.549926-6 2.330811+6 1.046000-5 1.620516+6 1.046000-5 9.761136+6 1.083927-5 9.754319+6 1.135011-5 9.866667+6 1.188502-5 1.009898+7 1.216000-5 1.026131+7 1.216000-5 1.499967+7 1.230269-5 1.510572+7 1.250000-5 1.525562+7 1.260000-5 1.534234+7 1.290000-5 1.563339+7 1.340000-5 1.618392+7 1.380384-5 1.667894+7 1.390000-5 1.680367+7 1.396368-5 1.689077+7 1.445440-5 1.757244+7 1.513561-5 1.859247+7 1.603245-5 2.003533+7 1.737801-5 2.236181+7 1.883649-5 2.505510+7 2.041738-5 2.803148+7 2.089296-5 2.895084+7 2.213095-5 3.130231+7 2.264644-5 3.227836+7 2.350000-5 3.383582+7 2.398833-5 3.473614+7 2.400000-5 3.475710+7 2.483133-5 3.616032+7 2.540973-5 3.714352+7 2.610000-5 3.818431+7 2.660725-5 3.895132+7 2.730000-5 3.984887+7 2.770000-5 4.036699+7 2.786121-5 4.055046+7 2.830000-5 4.101030+7 2.884032-5 4.157501+7 2.900000-5 4.171445+7 2.917427-5 4.185048+7 2.985383-5 4.237869+7 3.000000-5 4.246659+7 3.019952-5 4.256781+7 3.090295-5 4.292267+7 3.126079-5 4.299920+7 3.198895-5 4.315432+7 3.235937-5 4.312118+7 3.300000-5 4.306603+7 3.330000-5 4.295551+7 3.400000-5 4.270370+7 3.427678-5 4.252835+7 3.507519-5 4.203553+7 3.548134-5 4.168325+7 3.610000-5 4.116067+7 3.650000-5 4.072784+7 3.715352-5 4.004110+7 3.730000-5 3.987477+7 3.770000-5 3.937009+7 3.830000-5 3.863531+7 3.850000-5 3.837519+7 3.900000-5 3.767374+7 3.950000-5 3.699421+7 3.981072-5 3.655284+7 4.027170-5 3.586060+7 4.073803-5 3.518173+7 4.120975-5 3.447984+7 4.168694-5 3.374600+7 4.180000-5 3.357569+7 4.265795-5 3.226900+7 4.315191-5 3.151291+7 4.350000-5 3.097339+7 4.415704-5 2.999136+7 4.466836-5 2.922631+7 4.518559-5 2.845314+7 4.570882-5 2.770046+7 4.623810-5 2.694106+7 4.731513-5 2.543791+7 4.800000-5 2.451200+7 4.954502-5 2.253275+7 5.011872-5 2.183319+7 5.188000-5 1.981304+7 5.248075-5 1.916513+7 5.432503-5 1.730952+7 5.495409-5 1.673184+7 5.500000-5 1.668962+7 5.821032-5 1.401132+7 6.137000-5 1.182496+7 6.137000-5 1.455611+7 6.165950-5 1.438822+7 6.185000-5 1.427548+7 6.237348-5 1.395917+7 6.309573-5 1.352291+7 6.400000-5 1.298304+7 6.500000-5 1.240234+7 6.531306-5 1.222316+7 6.606934-5 1.179158+7 6.760830-5 1.095657+7 6.918310-5 1.016551+7 6.950000-5 1.001096+7 7.161434-5 9.039268+6 7.244360-5 8.687167+6 7.328245-5 8.348850+6 7.413102-5 8.014970+6 7.673615-5 7.081565+6 7.762471-5 6.791448+6 7.852356-5 6.507427+6 7.855000-5 6.499303+6 7.855000-5 7.570791+6 7.910000-5 7.438155+6 7.950000-5 7.340752+6 8.020000-5 7.167573+6 8.035261-5 7.128926+6 8.080000-5 7.016040+6 8.150000-5 6.839692+6 8.222426-5 6.656115+6 8.230000-5 6.637302+6 8.345000-5 6.351654+6 8.413951-5 6.184258+6 8.450000-5 6.099275+6 8.511380-5 5.954929+6 8.570000-5 5.819692+6 8.609938-5 5.727796+6 8.730000-5 5.460357+6 8.912509-5 5.076879+6 9.000000-5 4.902368+6 9.120108-5 4.672624+6 9.300000-5 4.345873+6 9.332543-5 4.290294+6 9.339000-5 4.279208+6 9.339000-5 4.497455+6 9.360000-5 4.468299+6 9.390000-5 4.426224+6 9.420000-5 4.384195+6 9.460000-5 4.328394+6 9.500000-5 4.272857+6 9.550000-5 4.203359+6 9.580000-5 4.161873+6 9.600000-5 4.134198+6 9.660509-5 4.050978+6 9.670000-5 4.038066+6 9.737000-5 3.947289+6 9.737000-5 4.085735+6 9.740000-5 4.082467+6 9.750000-5 4.071445+6 9.785000-5 4.032350+6 9.800000-5 4.015605+6 9.810000-5 4.004651+6 9.815000-5 3.999109+6 9.850000-5 3.960215+6 9.885531-5 3.920960+6 9.900000-5 3.905016+6 9.920000-5 3.882766+6 9.945000-5 3.854886+6 1.000000-4 3.794153+6 1.005000-4 3.739198+6 1.007000-4 3.717351+6 1.015000-4 3.630905+6 1.020000-4 3.578061+6 1.023293-4 3.543618+6 1.030000-4 3.473729+6 1.035142-4 3.421260+6 1.040000-4 3.372465+6 1.050000-4 3.274692+6 1.053400-4 3.242186+6 1.059254-4 3.186912+6 1.060000-4 3.179983+6 1.065000-4 3.133335+6 1.071519-4 3.073539+6 1.080000-4 2.999248+6 1.083927-4 2.965199+6 1.096478-4 2.859819+6 1.120000-4 2.676579+6 1.122018-4 2.661633+6 1.135011-4 2.569057+6 1.150000-4 2.468052+6 1.152300-4 2.452976+6 1.152300-4 2.527812+6 1.170000-4 2.413252+6 1.175000-4 2.382785+6 1.175400-4 2.380389+6 1.195000-4 2.269086+6 1.198000-4 2.252943+6 1.210000-4 2.191356+6 1.220000-4 2.142589+6 1.230269-4 2.095959+6 1.244515-4 2.035297+6 1.250000-4 2.013450+6 1.253000-4 2.001918+6 1.260000-4 1.975743+6 1.273503-4 1.928780+6 1.280000-4 1.907608+6 1.288250-4 1.882668+6 1.290000-4 1.877588+6 1.300000-4 1.849991+6 1.303167-4 1.841912+6 1.307700-4 1.830742+6 1.322000-4 1.798355+6 1.330000-4 1.782271+6 1.333521-4 1.775737+6 1.340000-4 1.764150+6 1.348963-4 1.749979+6 1.350000-4 1.748444+6 1.365000-4 1.728954+6 1.373000-4 1.720668+6 1.380384-4 1.714343+6 1.390000-4 1.707063+6 1.396368-4 1.703479+6 1.400000-4 1.701967+6 1.412538-4 1.698156+6 1.415000-4 1.697759+6 1.423000-4 1.697700+6 1.450000-4 1.705105+6 1.462177-4 1.713089+6 1.480000-4 1.727959+6 1.500000-4 1.751107+6 1.513561-4 1.770014+6 1.520000-4 1.779769+6 1.540000-4 1.813994+6 1.548817-4 1.830635+6 1.584893-4 1.908442+6 1.621810-4 2.004003+6 1.635000-4 2.040780+6 1.650000-4 2.085015+6 1.659587-4 2.114587+6 1.678804-4 2.175783+6 1.690000-4 2.213420+6 1.698244-4 2.240976+6 1.705000-4 2.264122+6 1.720000-4 2.317213+6 1.757924-4 2.458898+6 1.760000-4 2.466766+6 1.780000-4 2.544931+6 1.800000-4 2.624818+6 1.820000-4 2.708692+6 1.840772-4 2.795894+6 1.850000-4 2.834891+6 1.880000-4 2.966412+6 1.883649-4 2.982226+6 1.890000-4 3.010050+6 1.900000-4 3.054516+6 1.905461-4 3.079078+6 1.927525-4 3.177904+6 1.930000-4 3.189239+6 1.950000-4 3.278226+6 1.972423-4 3.378265+6 1.990000-4 3.459059+6 2.000000-4 3.503466+6 2.018366-4 3.583422+6 2.020000-4 3.590627+6 2.041738-4 3.687923+6 2.060000-4 3.766794+6 2.065380-4 3.789350+6 2.089296-4 3.891497+6 2.100000-4 3.938004+6 2.113489-4 3.993784+6 2.120000-4 4.019804+6 2.150000-4 4.141304+6 2.162719-4 4.190265+6 2.170000-4 4.218555+6 2.213095-4 4.381043+6 2.220000-4 4.405508+6 2.260000-4 4.541394+6 2.264644-4 4.557358+6 2.280000-4 4.610418+6 2.286400-4 4.630853+6 2.290868-4 4.644272+6 2.317395-4 4.724518+6 2.350000-4 4.824364+6 2.371374-4 4.880398+6 2.380000-4 4.903127+6 2.426610-4 5.026886+6 2.430000-4 5.035282+6 2.454709-4 5.090238+6 2.483133-4 5.153787+6 2.500000-4 5.191660+6 2.511886-4 5.216292+6 2.540973-4 5.269677+6 2.580000-4 5.341502+6 2.600160-4 5.375415+6 2.650000-4 5.447723+6 2.660725-4 5.463286+6 2.691535-4 5.503167+6 2.754229-4 5.570339+6 2.786121-4 5.599416+6 2.818383-4 5.621908+6 2.851018-4 5.644622+6 2.884032-4 5.662374+6 2.951209-4 5.684537+6 2.985383-4 5.690379+6 3.054921-4 5.688209+6 3.100000-4 5.680345+6 3.126079-4 5.671224+6 3.162278-4 5.658779+6 3.210500-4 5.636192+6 3.280000-4 5.593168+6 3.311311-4 5.570376+6 3.349654-4 5.542929+6 3.350000-4 5.542683+6 3.350500-4 5.542248+6 3.350500-4 5.743581+6 3.370000-4 5.722861+6 3.388442-4 5.702866+6 3.427678-4 5.661086+6 3.450000-4 5.635384+6 3.485000-4 5.596817+6 3.507519-4 5.573325+6 3.515000-4 5.564635+6 3.534800-4 5.542664+6 3.534800-4 5.701267+6 3.540000-4 5.693057+6 3.548134-4 5.680678+6 3.550000-4 5.677855+6 3.565000-4 5.656212+6 3.585000-4 5.629656+6 3.589219-4 5.624332+6 3.590000-4 5.623278+6 3.610000-4 5.597195+6 3.615000-4 5.590919+6 3.630781-4 5.571738+6 3.650000-4 5.549238+6 3.655000-4 5.543568+6 3.672823-4 5.524049+6 3.680000-4 5.515506+6 3.700000-4 5.492532+6 3.710000-4 5.481363+6 3.733000-4 5.456614+6 3.758374-4 5.430359+6 3.760000-4 5.428599+6 3.785000-4 5.402224+6 3.801894-4 5.385016+6 3.815000-4 5.371779+6 3.845918-4 5.341576+6 3.850000-4 5.337670+6 3.890451-4 5.296163+6 3.900000-4 5.286539+6 3.935501-4 5.251807+6 3.950000-4 5.236816+6 4.000000-4 5.186924+6 4.027170-4 5.160524+6 4.050000-4 5.138555+6 4.100000-4 5.087222+6 4.120975-4 5.066231+6 4.216965-4 4.966120+6 4.265795-4 4.913259+6 4.315191-4 4.861044+6 4.320000-4 4.855786+6 4.390000-4 4.780213+6 4.430000-4 4.738249+6 4.466836-4 4.698042+6 4.518559-4 4.642622+6 4.550000-4 4.608207+6 4.650000-4 4.502730+6 4.677351-4 4.474689+6 4.700000-4 4.451811+6 4.786301-4 4.362891+6 4.930000-4 4.216330+6 4.954502-4 4.192248+6 5.011872-4 4.134248+6 5.069907-4 4.077554+6 5.080000-4 4.067541+6 5.128614-4 4.019025+6 5.248075-4 3.905315+6 5.308844-4 3.846770+6 5.370318-4 3.789503+6 5.373900-4 3.786223+6 5.373900-4 4.002835+6 5.400000-4 3.978718+6 5.432503-4 3.948266+6 5.450000-4 3.931950+6 5.495409-4 3.889738+6 5.559043-4 3.832212+6 5.650000-4 3.750206+6 5.688529-4 3.716360+6 5.754399-4 3.657742+6 5.888437-4 3.544370+6 5.900000-4 3.534864+6 6.025596-4 3.430264+6 6.100000-4 3.369836+6 6.165950-4 3.316984+6 6.309573-4 3.207516+6 6.362800-4 3.166881+6 6.362800-4 3.210353+6 6.382635-4 3.195466+6 6.456542-4 3.140460+6 6.500000-4 3.108361+6 6.531306-4 3.085633+6 6.606934-4 3.031647+6 6.683439-4 2.978863+6 6.760830-4 2.926548+6 6.839116-4 2.873769+6 6.918310-4 2.821776+6 7.000000-4 2.769012+6 7.079458-4 2.718826+6 7.150000-4 2.675669+6 7.244360-4 2.619431+6 7.350000-4 2.557649+6 7.400000-4 2.529319+6 7.413102-4 2.521905+6 7.474000-4 2.487411+6 7.474000-4 2.539352+6 7.500000-4 2.524769+6 7.585776-4 2.477359+6 7.623500-4 2.456944+6 7.762471-4 2.384314+6 7.800000-4 2.365371+6 7.852356-4 2.338547+6 7.943282-4 2.293225+6 8.222426-4 2.160868+6 8.350000-4 2.104167+6 8.413951-4 2.076447+6 8.511380-4 2.034764+6 8.709636-4 1.953205+6 8.810489-4 1.913436+6 8.912509-4 1.874238+6 9.015711-4 1.835973+6 9.120108-4 1.798639+6 9.225714-4 1.761624+6 9.332543-4 1.724673+6 9.500000-4 1.668814+6 9.549926-4 1.652745+6 9.660509-4 1.618084+6 9.700000-4 1.606003+6 9.850000-4 1.561479+6 9.885531-4 1.551118+6 1.000000-3 1.517666+6 1.011579-3 1.485041+6 1.023293-3 1.453103+6 1.030000-3 1.435330+6 1.047129-3 1.391530+6 1.050000-3 1.384393+6 1.071519-3 1.331843+6 1.083927-3 1.302436+6 1.096478-3 1.273765+6 1.110000-3 1.243941+6 1.122018-3 1.218168+6 1.135011-3 1.191021+6 1.174898-3 1.113624+6 1.188502-3 1.088489+6 1.190000-3 1.085777+6 1.202264-3 1.063947+6 1.216186-3 1.039793+6 1.230269-3 1.016261+6 1.244515-3 9.933250+5 1.270000-3 9.542091+5 1.273503-3 9.489587+5 1.288250-3 9.271624+5 1.303167-3 9.057258+5 1.333521-3 8.644902+5 1.348963-3 8.446437+5 1.364583-3 8.253029+5 1.380384-3 8.062259+5 1.396368-3 7.874557+5 1.400000-3 7.832527+5 1.412538-3 7.689015+5 1.428894-3 7.508037+5 1.445440-3 7.331711+5 1.462177-3 7.159821+5 1.479108-3 6.991343+5 1.500000-3 6.791929+5 1.513561-3 6.666034+5 1.531087-3 6.508467+5 1.548817-3 6.354521+5 1.566751-3 6.202595+5 1.584893-3 6.054543+5 1.603245-3 5.909526+5 1.621810-3 5.768347+5 1.640590-3 5.629523+5 1.698244-3 5.234149+5 1.717908-3 5.107850+5 1.737801-3 4.984051+5 1.757924-3 4.862743+5 1.778279-3 4.743588+5 1.798871-3 4.627585+5 1.800000-3 4.621351+5 1.819701-3 4.514635+5 1.850000-3 4.357605+5 1.883649-3 4.191980+5 1.900000-3 4.114718+5 1.905461-3 4.089376+5 1.949845-3 3.889613+5 1.950000-3 3.888942+5 1.972423-3 3.793208+5 2.018366-3 3.607804+5 2.041738-3 3.518210+5 2.065380-3 3.430733+5 2.089296-3 3.345546+5 2.113489-3 3.261883+5 2.137962-3 3.180141+5 2.162719-3 3.100583+5 2.187762-3 3.022712+5 2.212200-3 2.949132+5 2.212200-3 7.632469+5 2.213095-3 7.627347+5 2.238721-3 7.483059+5 2.264644-3 7.341635+5 2.280000-3 7.259639+5 2.287300-3 7.230406+5 2.300700-3 7.165704+5 2.300700-3 9.239796+5 2.344229-3 9.122840+5 2.356720-3 9.091537+5 2.371374-3 9.056064+5 2.380000-3 9.035809+5 2.389000-3 9.012736+5 2.393000-3 8.999359+5 2.398833-3 8.988645+5 2.400000-3 8.985661+5 2.426610-3 8.919099+5 2.430000-3 8.910904+5 2.450000-3 8.851714+5 2.483133-3 8.741620+5 2.490000-3 8.713433+5 2.500000-3 8.665444+5 2.550000-3 8.402163+5 2.570396-3 8.296286+5 2.581700-3 8.233108+5 2.600160-3 8.123864+5 2.630268-3 7.937150+5 2.634000-3 7.914446+5 2.650000-3 7.810007+5 2.660725-3 7.730970+5 2.691535-3 7.509965+5 2.722701-3 7.295152+5 2.731000-3 7.239309+5 2.734000-3 7.219268+5 2.734000-3 8.351975+5 2.741000-3 8.301842+5 2.741500-3 8.312364+5 2.754229-3 8.221013+5 2.818383-3 7.781985+5 2.851018-3 7.568901+5 2.884032-3 7.360223+5 2.900000-3 7.262140+5 2.917427-3 7.157205+5 2.920000-3 7.142101+5 2.951209-3 6.961077+5 2.985383-3 6.770253+5 3.000000-3 6.690184+5 3.019952-3 6.582893+5 3.054921-3 6.400735+5 3.090295-3 6.223562+5 3.126079-3 6.051454+5 3.144300-3 5.965584+5 3.144300-3 6.330019+5 3.162278-3 6.244964+5 3.198895-3 6.076699+5 3.273407-3 5.752381+5 3.311311-3 5.596239+5 3.349654-3 5.443258+5 3.388442-3 5.294659+5 3.401400-3 5.246315+5 3.401400-3 5.469761+5 3.427678-3 5.371871+5 3.467369-3 5.228774+5 3.507519-3 5.088279+5 3.548134-3 4.951801+5 3.590000-3 4.815418+5 3.630781-3 4.687204+5 3.672823-3 4.559690+5 3.715352-3 4.435794+5 3.758374-3 4.315457+5 3.801894-3 4.198641+5 3.845918-3 4.084337+5 3.890451-3 3.972713+5 3.900000-3 3.949365+5 3.935501-3 3.863816+5 4.000000-3 3.715216+5 4.027170-3 3.655042+5 4.120975-3 3.457782+5 4.216965-3 3.269787+5 4.230000-3 3.245354+5 4.265795-3 3.179468+5 4.315191-3 3.091730+5 4.365158-3 3.006114+5 4.415704-3 2.922925+5 4.466836-3 2.842165+5 4.518559-3 2.763658+5 4.570882-3 2.686845+5 4.623810-3 2.612253+5 4.650000-3 2.576365+5 4.677351-3 2.539617+5 4.731513-3 2.468344+5 4.841724-3 2.332063+5 4.897788-3 2.266638+5 4.900000-3 2.264112+5 4.954502-3 2.202679+5 5.000000-3 2.153110+5 5.011872-3 2.140430+5 5.069907-3 2.079904+5 5.128614-3 2.021180+5 5.188000-3 1.963997+5 5.248075-3 1.908440+5 5.308844-3 1.854545+5 5.370318-3 1.802061+5 5.432503-3 1.751135+5 5.495409-3 1.701734+5 5.559043-3 1.653807+5 5.650000-3 1.588588+5 5.688529-3 1.562018+5 5.821032-3 1.475090+5 5.888437-3 1.433174+5 6.000000-3 1.366682+5 6.095369-3 1.313326+5 6.165950-3 1.275668+5 6.309573-3 1.203735+5 6.382635-3 1.169199+5 6.456542-3 1.135671+5 6.531306-3 1.103042+5 6.606934-3 1.071267+5 6.683439-3 1.040437+5 6.760830-3 1.010392+5 6.839116-3 9.812606+4 7.161434-3 8.732944+4 7.244360-3 8.481953+4 7.328245-3 8.238522+4 7.413102-3 8.000936+4 7.498942-3 7.768736+4 7.500000-3 7.765935+4 7.585776-3 7.541833+4 7.673615-3 7.321871+4 7.762471-3 7.108650+4 8.035261-3 6.507297+4 8.128305-3 6.318964+4 8.222426-3 6.135256+4 8.300000-3 5.989442+4 8.317638-3 5.956963+4 8.413951-3 5.782496+4 8.511380-3 5.613008+4 8.709636-3 5.289286+4 8.810489-3 5.134850+4 8.912509-3 4.985132+4 9.015711-3 4.839942+4 9.120108-3 4.698639+4 9.225714-3 4.561659+4 9.332543-3 4.428592+4 9.440609-3 4.298072+4 9.500000-3 4.228676+4 9.549926-3 4.171383+4 9.772372-3 3.929199+4 9.885531-3 3.813260+4 1.000000-2 3.700906+4 1.023293-2 3.486466+4 1.035142-2 3.384100+4 1.040000-2 3.343354+4 1.047129-2 3.284626+4 1.059254-2 3.187963+4 1.071519-2 3.093833+4 1.080000-2 3.030828+4 1.083927-2 3.002260+4 1.109175-2 2.827470+4 1.122018-2 2.743887+4 1.135011-2 2.662823+4 1.148154-2 2.583970+4 1.161449-2 2.507495+4 1.174898-2 2.433352+4 1.188502-2 2.360881+4 1.192200-2 2.341711+4 1.192200-2 6.001946+4 1.202264-2 5.866277+4 1.216186-2 5.685414+4 1.244515-2 5.340164+4 1.250000-2 5.276691+4 1.258925-2 5.176960+4 1.273503-2 5.019510+4 1.288250-2 4.866885+4 1.303167-2 4.718955+4 1.333521-2 4.436119+4 1.348963-2 4.299516+4 1.350000-2 4.290552+4 1.377600-2 4.060665+4 1.377600-2 5.657344+4 1.380384-2 5.626860+4 1.412538-2 5.290385+4 1.428894-2 5.130897+4 1.433600-2 5.086248+4 1.433600-2 5.879729+4 1.445440-2 5.758969+4 1.450000-2 5.713387+4 1.462177-2 5.594056+4 1.479108-2 5.433971+4 1.500000-2 5.245281+4 1.513561-2 5.126718+4 1.531087-2 4.978871+4 1.566751-2 4.696713+4 1.584893-2 4.561744+4 1.603245-2 4.429287+4 1.621810-2 4.299476+4 1.640590-2 4.173555+4 1.650000-2 4.112378+4 1.659587-2 4.051282+4 1.678804-2 3.932627+4 1.698244-2 3.817524+4 1.737801-2 3.597297+4 1.757924-2 3.492533+4 1.798871-2 3.292348+4 1.800000-2 3.287060+4 1.819701-2 3.195965+4 1.840772-2 3.101646+4 1.862087-2 3.010190+4 1.883649-2 2.921481+4 1.905461-2 2.834962+4 1.927525-2 2.750963+4 1.950000-2 2.668964+4 1.972423-2 2.590443+4 2.000000-2 2.498277+4 2.041738-2 2.366879+4 2.065380-2 2.296316+4 2.089296-2 2.227888+4 2.137962-2 2.097233+4 2.162719-2 2.034871+4 2.213095-2 1.915597+4 2.238721-2 1.858662+4 2.264644-2 1.803381+4 2.290868-2 1.749788+4 2.300000-2 1.731531+4 2.344229-2 1.645933+4 2.371374-2 1.596298+4 2.398833-2 1.548197+4 2.454709-2 1.456380+4 2.483133-2 1.412541+4 2.511886-2 1.370054+4 2.540973-2 1.328876+4 2.570396-2 1.288968+4 2.600160-2 1.250206+4 2.630268-2 1.212633+4 2.660725-2 1.175942+4 2.691535-2 1.140384+4 2.722701-2 1.105922+4 2.786121-2 1.040167+4 2.818383-2 1.008803+4 2.851018-2 9.783779+3 2.884032-2 9.488945+3 2.917427-2 9.201084+3 2.951209-2 8.920111+3 2.985383-2 8.647929+3 3.019952-2 8.383944+3 3.054921-2 8.128215+3 3.090295-2 7.880208+3 3.126079-2 7.639893+3 3.162278-2 7.407078+3 3.198895-2 7.181498+3 3.273407-2 6.751162+3 3.349654-2 6.345725+3 3.388442-2 6.151429+3 3.427678-2 5.963228+3 3.467369-2 5.780925+3 3.589219-2 5.267025+3 3.630781-2 5.106141+3 3.715352-2 4.797630+3 3.758374-2 4.649574+3 3.801894-2 4.506161+3 3.845918-2 4.367118+3 3.935501-2 4.102062+3 4.000000-2 3.924892+3 4.027170-2 3.853443+3 4.073803-2 3.734855+3 4.168694-2 3.508761+3 4.216965-2 3.400582+3 4.315191-2 3.194145+3 4.365158-2 3.095785+3 4.415704-2 3.000521+3 4.466836-2 2.908180+3 4.570882-2 2.730159+3 4.623810-2 2.645365+3 4.677351-2 2.563255+3 4.731513-2 2.483674+3 4.786301-2 2.406620+3 4.841724-2 2.332009+3 5.000000-2 2.135803+3 5.188000-2 1.931105+3 5.248075-2 1.870980+3 5.308844-2 1.812715+3 5.370318-2 1.756286+3 5.432503-2 1.701648+3 5.495409-2 1.648578+3 5.500000-2 1.644795+3 5.559043-2 1.597158+3 5.623413-2 1.547372+3 5.688529-2 1.499169+3 5.754399-2 1.452491+3 5.821032-2 1.407299+3 5.956621-2 1.320703+3 6.237348-2 1.163284+3 6.309573-2 1.126988+3 6.500000-2 1.038451+3 6.531306-2 1.024797+3 6.760830-2 9.318191+2 6.839116-2 9.027018+2 7.079458-2 8.202730+2 7.328245-2 7.454167+2 7.498942-2 6.994142+2 7.585776-2 6.775081+2 7.673615-2 6.562995+2 7.943282-2 5.965868+2 8.035261-2 5.779371+2 8.096000-2 5.660535+2 8.096000-2 2.748034+3 8.128305-2 2.719696+3 8.222426-2 2.639296+3 8.320000-2 2.559388+3 8.413951-2 2.491839+3 8.430000-2 2.480552+3 8.511380-2 2.417346+3 8.650000-2 2.314666+3 8.709636-2 2.275160+3 8.810489-2 2.210476+3 9.015711-2 2.086582+3 9.120108-2 2.024345+3 9.660509-2 1.740029+3 9.772372-2 1.688106+3 1.000000-1 1.588876+3 1.011580-1 1.541963+3 1.023293-1 1.496445+3 1.035142-1 1.452264+3 1.047129-1 1.409389+3 1.071519-1 1.327419+3 1.083927-1 1.288245+3 1.122019-1 1.177553+3 1.148154-1 1.107647+3 1.161449-1 1.074271+3 1.230269-1 9.217684+2 1.273503-1 8.408970+2 1.288250-1 8.155525+2 1.318257-1 7.671313+2 1.364583-1 6.998520+2 1.396368-1 6.583190+2 1.445440-1 6.006066+2 1.462177-1 5.825105+2 1.479108-1 5.649650+2 1.513561-1 5.312322+2 1.584893-1 4.697023+2 1.603245-1 4.554702+2 1.621810-1 4.416684+2 1.659587-1 4.153101+2 1.698244-1 3.905282+2 1.737801-1 3.672303+2 1.757924-1 3.561090+2 1.778279-1 3.453257+2 1.798871-1 3.348691+2 1.800000-1 3.343085+2 1.819701-1 3.247348+2 1.862087-1 3.053872+2 1.905461-1 2.871943+2 1.927525-1 2.785093+2 1.972423-1 2.619205+2 1.995262-1 2.540014+2 2.000000-1 2.524000+2 2.018366-1 2.463228+2 2.089296-1 2.246523+2 2.137962-1 2.112782+2 2.162719-1 2.048932+2 2.187762-1 1.987042+2 2.213095-1 1.927025+2 2.317395-1 1.704686+2 2.344229-1 1.653237+2 2.398833-1 1.555956+2 2.426610-1 1.509487+2 2.454709-1 1.464407+2 2.483133-1 1.420682+2 2.511886-1 1.378264+2 2.540973-1 1.337141+2 2.600160-1 1.258550+2 2.630268-1 1.221027+2 2.660725-1 1.184627+2 2.691535-1 1.149352+2 2.722701-1 1.115131+2 2.754229-1 1.081928+2 2.818383-1 1.018465+2 2.851018-1 9.881482+1 2.884032-1 9.591485+1 2.917427-1 9.310155+1 2.951209-1 9.037085+1 2.985383-1 8.772028+1 3.000000-1 8.661950+1 3.019952-1 8.514767+1 3.054921-1 8.265193+1 3.090295-1 8.022969+1 3.126079-1 7.787851+1 3.162278-1 7.559696+1 3.198895-1 7.338260+1 3.235937-1 7.123335+1 3.273407-1 6.915032+1 3.311311-1 6.712917+1 3.349654-1 6.519756+1 3.388442-1 6.332161+1 3.467369-1 5.973042+1 3.507519-1 5.801297+1 3.548134-1 5.634516+1 3.589219-1 5.472535+1 3.630781-1 5.315212+1 3.672823-1 5.162438+1 3.715352-1 5.014123+1 3.758374-1 4.870127+1 3.801894-1 4.730288+1 3.845918-1 4.594707+1 3.935501-1 4.339512+1 3.981072-1 4.217355+1 4.000000-1 4.168034+1 4.027170-1 4.098652+1 4.073803-1 3.983297+1 4.120975-1 3.871257+1 4.168694-1 3.762369+1 4.265795-1 3.553705+1 4.315191-1 3.453758+1 4.365158-1 3.356668+1 4.415705-1 3.264202+1 4.466836-1 3.174469+1 4.518559-1 3.087258+1 4.570882-1 3.002503+1 4.623810-1 2.920079+1 4.731513-1 2.761959+1 4.786301-1 2.686145+1 4.841724-1 2.612413+1 4.954502-1 2.470970+1 5.011872-1 2.404604+1 5.069907-1 2.340109+1 5.128614-1 2.277501+1 5.188000-1 2.216571+1 5.248075-1 2.157270+1 5.432503-1 1.988734+1 5.559043-1 1.883760+1 5.623413-1 1.833406+1 5.688529-1 1.785481+1 5.754399-1 1.738842+1 5.821032-1 1.693535+1 5.956621-1 1.606436+1 6.025596-1 1.564582+1 6.095369-1 1.523820+1 6.165950-1 1.484120+1 6.237348-1 1.445480+1 6.309573-1 1.407872+1 6.382635-1 1.372130+1 6.456542-1 1.337316+1 6.531306-1 1.303385+1 6.606935-1 1.270406+1 6.683439-1 1.238262+1 6.839117-1 1.176394+1 6.918310-1 1.146667+1 6.998420-1 1.117692+1 7.079458-1 1.090090+1 7.161434-1 1.063171+1 7.244360-1 1.036917+1 7.328245-1 1.011328+1 7.413102-1 9.863698+0 7.498942-1 9.620952+0 7.585776-1 9.384184+0 7.673615-1 9.153423+0 7.762471-1 8.928339+0 7.852356-1 8.708823+0 7.943282-1 8.494709+0 8.035261-1 8.290644+0 8.317638-1 7.707741+0 8.413951-1 7.522815+0 8.511380-1 7.342879+0 8.609938-1 7.167366+0 8.709636-1 6.996086+0 8.912509-1 6.666001+0 9.015711-1 6.506848+0 9.120108-1 6.351495+0 9.225714-1 6.203121+0 9.332543-1 6.058238+0 9.440609-1 5.916947+0 9.549926-1 5.779462+0 9.660509-1 5.645313+0 9.772372-1 5.514279+0 9.885531-1 5.386310+0 1.000000+0 5.261406+0 1.011579+0 5.142807+0 1.022000+0 5.039583+0 1.035142+0 4.913823+0 1.047129+0 4.803252+0 1.059254+0 4.695193+0 1.071519+0 4.589829+0 1.083927+0 4.486884+0 1.096478+0 4.386254+0 1.109175+0 4.287881+0 1.122018+0 4.191804+0 1.135011+0 4.097891+0 1.148154+0 4.006097+0 1.161449+0 3.916361+0 1.174898+0 3.830599+0 1.188502+0 3.746766+0 1.202264+0 3.664815+0 1.216186+0 3.584657+0 1.230269+0 3.506560+0 1.244515+0 3.430164+0 1.273503+0 3.282383+0 1.288250+0 3.210896+0 1.303167+0 3.141006+0 1.318257+0 3.074374+0 1.333521+0 3.009159+0 1.348963+0 2.945372+0 1.364583+0 2.882984+0 1.380384+0 2.821918+0 1.396368+0 2.762354+0 1.412538+0 2.704052+0 1.445440+0 2.591125+0 1.479108+0 2.482949+0 1.513561+0 2.382064+0 1.531087+0 2.333171+0 1.548817+0 2.285314+0 1.566751+0 2.238460+0 1.659587+0 2.018960+0 1.678804+0 1.977720+0 1.698244+0 1.938484+0 1.717908+0 1.900033+0 1.737801+0 1.862388+0 1.757924+0 1.825491+0 1.778279+0 1.789487+0 1.819701+0 1.719593+0 1.840772+0 1.685677+0 1.862087+0 1.652430+0 1.883649+0 1.619845+0 1.905461+0 1.588878+0 1.927525+0 1.558508+0 1.949845+0 1.528759+0 1.972423+0 1.499579+0 2.000000+0 1.465291+0 2.018366+0 1.443146+0 2.065380+0 1.388835+0 2.089296+0 1.362451+0 2.137962+0 1.311186+0 2.162719+0 1.286906+0 2.213095+0 1.239693+0 2.238721+0 1.216766+0 2.264644+0 1.194264+0 2.290868+0 1.172177+0 2.317395+0 1.150584+0 2.344229+0 1.129389+0 2.398833+0 1.088162+0 2.426610+0 1.068117+0 2.483133+0 1.029134+0 2.511886+0 1.010665+0 2.570396+0 9.747190-1 2.600160+0 9.572488-1 2.630268+0 9.400928-1 2.660725+0 9.232440-1 2.691535+0 9.067652-1 2.722701+0 8.905811-1 2.786121+0 8.590738-1 2.818383+0 8.437405-1 2.851018+0 8.286838-1 2.884032+0 8.142959-1 2.951209+0 7.862695-1 3.000000+0 7.669258-1 3.019952+0 7.592423-1 3.054921+0 7.460798-1 3.090295+0 7.332053-1 3.126079+0 7.205530-1 3.162278+0 7.081188-1 3.198895+0 6.958996-1 3.235937+0 6.838930-1 3.311311+0 6.611314-1 3.388442+0 6.391296-1 3.467369+0 6.178854-1 3.507519+0 6.075301-1 3.548134+0 5.973484-1 3.589219+0 5.873789-1 3.630781+0 5.775757-1 3.672823+0 5.679364-1 3.715352+0 5.584579-1 3.758374+0 5.491391-1 3.845918+0 5.314632-1 3.935501+0 5.143583-1 4.027170+0 4.978236-1 4.073803+0 4.897569-1 4.120975+0 4.818211-1 4.168694+0 4.740454-1 4.216965+0 4.663953-1 4.265795+0 4.588688-1 4.315191+0 4.514637-1 4.365158+0 4.441782-1 4.415704+0 4.370114-1 4.518559+0 4.234024-1 4.623810+0 4.102187-1 4.731513+0 3.974606-1 4.786301+0 3.912315-1 4.841724+0 3.851000-1 4.897788+0 3.790901-1 4.954502+0 3.731739-1 5.011872+0 3.673502-1 5.069907+0 3.616174-1 5.128614+0 3.559740-1 5.188000+0 3.504196-1 5.308844+0 3.398571-1 5.432503+0 3.296140-1 5.559043+0 3.196913-1 5.688529+0 3.100678-1 5.754399+0 3.053652-1 5.821032+0 3.007524-1 5.888437+0 2.962092-1 5.956621+0 2.917347-1 6.025596+0 2.873278-1 6.095369+0 2.829875-1 6.165950+0 2.787134-1 6.309573+0 2.705724-1 6.456542+0 2.626700-1 6.531306+0 2.588058-1 6.683439+0 2.512561-1 6.760830+0 2.475643-1 6.839116+0 2.439269-1 6.918310+0 2.403575-1 7.000000+0 2.367722-1 7.079458+0 2.333752-1 7.161434+0 2.299606-1 7.244360+0 2.265958-1 7.328245+0 2.232809-1 7.498942+0 2.169635-1 7.673615+0 2.108254-1 7.762471+0 2.078219-1 8.035261+0 1.990746-1 8.128305+0 1.962415-1 8.317638+0 1.906957-1 8.413951+0 1.879917-1 8.511380+0 1.853261-1 8.609938+0 1.826983-1 8.709636+0 1.801077-1 8.810489+0 1.775539-1 8.912509+0 1.750364-1 9.015711+0 1.725549-1 9.225714+0 1.678132-1 9.440609+0 1.632024-1 9.549926+0 1.609447-1 9.885531+0 1.543646-1 1.000000+1 1.522316-1 1.023293+1 1.480537-1 1.035142+1 1.460157-1 1.047129+1 1.440056-1 1.059254+1 1.420233-1 1.071519+1 1.400684-1 1.083927+1 1.381402-1 1.100000+1 1.357140-1 1.135011+1 1.308028-1 1.174898+1 1.255951-1 1.200000+1 1.225105-1 1.202264+1 1.222393-1 1.230269+1 1.189766-1 1.244515+1 1.173781-1 1.258925+1 1.158012-1 1.273503+1 1.142506-1 1.288250+1 1.127208-1 1.303167+1 1.112115-1 1.333521+1 1.082536-1 1.445440+1 9.869843-2 1.500000+1 9.459353-2 1.531087+1 9.239486-2 1.548817+1 9.118437-2 1.566751+1 8.998988-2 1.584893+1 8.881100-2 1.603245+1 8.765135-2 1.640590+1 8.537722-2 1.698244+1 8.207668-2 1.862087+1 7.406057-2 1.927525+1 7.126087-2 1.949845+1 7.035136-2 1.972423+1 6.945349-2 2.000000+1 6.838678-2 2.018366+1 6.769348-2 2.041738+1 6.683026-2 2.065380+1 6.598018-2 2.089296+1 6.514137-2 2.162719+1 6.268839-2 2.264644+1 5.956126-2 2.454709+1 5.455552-2 2.540973+1 5.254128-2 2.600160+1 5.123996-2 2.630268+1 5.060144-2 2.691535+1 4.934915-2 2.722701+1 4.873471-2 2.786121+1 4.752865-2 2.818383+1 4.693830-2 2.851018+1 4.635531-2 2.884032+1 4.577982-2 2.951209+1 4.465024-2 3.054921+1 4.300807-2 3.311311+1 3.947127-2 3.467369+1 3.758253-2 3.548134+1 3.667236-2 3.589219+1 3.622557-2 3.630781+1 3.578440-2 3.715352+1 3.491837-2 3.801894+1 3.407331-2 3.890451+1 3.324870-2 3.981072+1 3.244557-2 4.027170+1 3.205133-2 4.073803+1 3.166201-2 4.120975+1 3.127743-2 4.265795+1 3.015148-2 4.466836+1 2.871315-2 4.897788+1 2.607784-2 5.188000+1 2.455514-2 5.308844+1 2.397126-2 5.370318+1 2.368455-2 5.432503+1 2.340138-2 5.559043+1 2.284527-2 5.688529+1 2.230239-2 5.821032+1 2.177242-2 5.956621+1 2.125591-2 6.025596+1 2.100228-2 6.095369+1 2.075176-2 6.165950+1 2.050422-2 6.531306+1 1.931015-2 6.918310+1 1.818570-2 7.762471+1 1.615644-2 8.128305+1 1.540966-2 8.317638+1 1.504932-2 8.413951+1 1.487233-2 8.511380+1 1.469747-2 8.609938+1 1.452470-2 8.912509+1 1.401850-2 9.015711+1 1.385371-2 9.225714+1 1.353038-2 9.332543+1 1.337155-2 9.440609+1 1.321464-2 9.549926+1 1.305956-2 1.035142+2 1.202380-2 1.174898+2 1.055969-2 1.548817+2 7.974807-3 1.621810+2 7.610255-3 1.659587+2 7.434277-3 1.678804+2 7.347820-3 1.698244+2 7.262386-3 1.717908+2 7.177960-3 1.778279+2 6.930521-3 1.798871+2 6.849949-3 1.819701+2 6.770394-3 1.840772+2 6.691764-3 1.862087+2 6.614048-3 1.883649+2 6.537248-3 2.000000+2 6.151602-3 2.344229+2 5.236285-3 3.090295+2 3.963305-3 3.235937+2 3.783526-3 3.311311+2 3.696720-3 3.349654+2 3.654067-3 3.388442+2 3.611910-3 3.427678+2 3.570245-3 3.548134+2 3.448110-3 3.589219+2 3.408334-3 3.630781+2 3.369040-3 3.672823+2 3.330201-3 3.715352+2 3.291810-3 3.758374+2 3.253865-3 3.981072+2 3.070602-3 4.677351+2 2.610555-3 6.165950+2 1.978640-3 1.288250+3 9.449198-4 1.318257+3 9.233464-4 1.333521+3 9.127456-4 1.348963+3 9.022664-4 1.364583+3 8.919086-4 1.412538+3 8.615425-4 1.428894+3 8.516524-4 1.445440+3 8.418788-4 1.462177+3 8.322178-4 1.479108+3 8.226675-4 1.496236+3 8.132269-4 1.584893+3 7.676266-4 1.862087+3 6.530972-4 2.454709+3 4.953630-4 1.000000+5 1.213964-5 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 8.300000-6 8.300000-6 1.046000-5 8.300000-6 1.046000-5 1.010140-5 1.188502-5 1.025299-5 1.216000-5 1.027430-5 1.216000-5 1.086999-5 1.603245-5 1.096674-5 2.660725-5 1.108170-5 4.180000-5 1.118185-5 6.137000-5 1.121201-5 6.137000-5 2.062311-5 6.237348-5 2.109030-5 6.309573-5 2.135307-5 6.400000-5 2.161596-5 6.606934-5 2.205052-5 6.760830-5 2.228398-5 7.161434-5 2.269363-5 7.855000-5 2.313105-5 7.855000-5 3.097445-5 7.950000-5 3.166659-5 8.080000-5 3.243506-5 8.230000-5 3.316204-5 8.450000-5 3.399839-5 8.730000-5 3.485155-5 9.120108-5 3.578174-5 9.339000-5 3.623741-5 9.339000-5 3.901084-5 9.550000-5 4.024566-5 9.737000-5 4.114749-5 9.737000-5 4.305260-5 9.945000-5 4.456447-5 1.030000-4 4.668972-5 1.080000-4 4.923976-5 1.152300-4 5.260565-5 1.152300-4 5.445966-5 1.220000-4 5.761670-5 1.273503-4 6.049739-5 1.330000-4 6.397511-5 1.415000-4 6.988782-5 1.480000-4 7.443439-5 1.540000-4 7.821712-5 1.584893-4 8.067017-5 1.635000-4 8.299891-5 1.698244-4 8.536285-5 1.780000-4 8.762203-5 1.850000-4 8.901233-5 1.950000-4 9.038700-5 2.089296-4 9.153684-5 2.290868-4 9.236965-5 2.660725-4 9.290775-5 3.350500-4 9.299179-5 3.350500-4 9.555273-5 3.534800-4 9.517405-5 3.534800-4 9.729652-5 3.655000-4 9.693486-5 3.850000-4 9.724148-5 4.786301-4 1.012026-4 5.373900-4 1.037935-4 5.373900-4 1.103920-4 6.362800-4 1.152719-4 6.362800-4 1.170757-4 7.474000-4 1.220336-4 7.474000-4 1.253623-4 8.810489-4 1.310416-4 1.050000-3 1.371281-4 1.244515-3 1.428873-4 1.462177-3 1.482365-4 1.737801-3 1.537453-4 2.041738-3 1.586941-4 2.212200-3 1.610832-4 2.212200-3 2.348736-4 2.300700-3 2.364119-4 2.300700-3 2.470246-4 2.490000-3 2.516190-4 2.650000-3 2.530688-4 2.734000-3 2.530613-4 2.734000-3 2.721038-4 3.144300-3 2.746999-4 3.144300-3 2.839420-4 3.401400-3 2.862086-4 3.401400-3 2.951942-4 4.466836-3 3.058084-4 5.821032-3 3.164892-4 7.500000-3 3.268086-4 9.549926-3 3.365301-4 1.192200-2 3.452399-4 1.192200-2 4.404911-4 1.377600-2 4.419494-4 1.377600-2 4.619288-4 1.433600-2 4.623094-4 1.433600-2 4.959179-4 2.000000-2 5.085281-4 2.786121-2 5.210025-4 3.845918-2 5.332737-4 5.248075-2 5.448714-4 7.079458-2 5.555079-4 8.096000-2 5.600403-4 8.096000-2 5.117957-4 2.018366-1 5.150442-4 5.623413-1 5.171001-4 1.000000+5 5.174356-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.300000-6 0.0 3.534800-4 0.0 3.534800-4 1.356201-9 3.550000-4 1.300660-9 3.565000-4 1.254929-9 3.585000-4 1.204315-9 3.610000-4 1.154643-9 3.630781-4 1.121138-9 3.655000-4 1.089638-9 3.680000-4 1.064582-9 3.710000-4 1.043823-9 3.733000-4 1.034023-9 3.760000-4 1.029076-9 3.785000-4 1.029930-9 3.815000-4 1.036900-9 3.850000-4 1.050920-9 3.900000-4 1.079724-9 3.950000-4 1.115364-9 4.027170-4 1.181243-9 4.120975-4 1.274903-9 4.216965-4 1.378078-9 4.518559-4 1.717268-9 4.700000-4 1.929027-9 5.248075-4 2.612878-9 5.373900-4 2.764167-9 5.373900-4 5.323232-9 6.309573-4 6.782202-9 6.362800-4 6.855186-9 6.362800-4 7.987229-9 6.918310-4 8.876419-9 7.474000-4 9.732831-9 7.474000-4 1.135377-8 8.413951-4 1.289494-8 9.015711-4 1.380726-8 9.700000-4 1.480160-8 1.050000-3 1.589831-8 1.135011-3 1.697032-8 1.273503-3 1.857112-8 1.380384-3 1.970139-8 1.500000-3 2.086455-8 1.640590-3 2.212567-8 1.819701-3 2.357753-8 2.041738-3 2.518043-8 2.212200-3 2.629715-8 2.212200-3 2.538217-8 2.300700-3 2.557239-8 2.300700-3 1.326109-5 2.393000-3 1.480331-5 2.400000-3 1.494436-5 2.450000-3 1.583209-5 2.490000-3 1.648387-5 2.570396-3 1.769650-5 2.600160-3 1.801057-5 2.634000-3 1.825685-5 2.650000-3 1.832999-5 2.734000-3 1.829475-5 2.734000-3 1.766346-5 3.144300-3 1.745585-5 3.144300-3 1.927498-5 3.401400-3 1.934327-5 3.401400-3 1.954821-5 4.027170-3 1.971588-5 5.308844-3 1.996265-5 7.762471-3 2.027335-5 1.148154-2 2.058771-5 1.192200-2 2.061048-5 1.192200-2 1.976853-3 1.377600-2 1.962562-3 1.377600-2 2.759820-3 1.433600-2 2.760934-3 1.433600-2 2.874545-3 1.840772-2 2.903313-3 2.722701-2 2.925100-3 4.466836-2 2.932888-3 8.096000-2 2.927566-3 8.096000-2 5.717344-2 9.660509-2 5.762541-2 1.230269-1 5.809942-2 1.800000-1 5.857444-2 3.273407-1 5.895641-2 8.709636-1 5.949738-2 1.603245+1 5.953998-2 1.000000+5 5.953605-2 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.300000-6 0.0 1.046000-5 2.160000-6 1.046000-5 3.585971-7 1.083927-5 6.905445-7 1.135011-5 1.145458-6 1.188502-5 1.632029-6 1.216000-5 1.885701-6 1.216000-5 1.290012-6 1.390000-5 2.978808-6 1.603245-5 5.065710-6 2.350000-5 1.244519-5 4.623810-5 3.504400-5 6.137000-5 5.015799-5 6.137000-5 4.074689-5 6.237348-5 4.128318-5 6.400000-5 4.238404-5 6.606934-5 4.401882-5 6.950000-5 4.700252-5 7.855000-5 5.541895-5 7.855000-5 4.757555-5 8.020000-5 4.809894-5 8.230000-5 4.913796-5 8.511380-5 5.092248-5 8.912509-5 5.381015-5 9.339000-5 5.715259-5 9.339000-5 5.437916-5 9.600000-5 5.549926-5 9.737000-5 5.622251-5 9.737000-5 5.431740-5 9.945000-5 5.488553-5 1.030000-4 5.631028-5 1.083927-4 5.896926-5 1.152300-4 6.262435-5 1.152300-4 6.077034-5 1.220000-4 6.438330-5 1.280000-4 6.712946-5 1.340000-4 6.936196-5 1.480000-4 7.356561-5 1.540000-4 7.578288-5 1.584893-4 7.781913-5 1.635000-4 8.050109-5 1.698244-4 8.446155-5 1.780000-4 9.037797-5 1.850000-4 9.598767-5 1.950000-4 1.046130-4 2.113489-4 1.196697-4 2.380000-4 1.454289-4 3.126079-4 2.195846-4 3.350500-4 2.420582-4 3.350500-4 2.394973-4 3.534800-4 2.583060-4 3.534800-4 2.561821-4 3.785000-4 2.814322-4 5.373900-4 4.335938-4 5.373900-4 4.269927-4 6.362800-4 5.210012-4 6.362800-4 5.191963-4 7.474000-4 6.253566-4 7.474000-4 6.220263-4 1.135011-3 9.952199-4 1.900000-3 1.743449-3 2.212200-3 2.051091-3 2.212200-3 1.977301-3 2.300700-3 2.064262-3 2.300700-3 2.040414-3 2.660725-3 2.389333-3 2.734000-3 2.462644-3 2.734000-3 2.444233-3 3.144300-3 2.852144-3 3.144300-3 2.841083-3 3.401400-3 3.095848-3 3.401400-3 3.086657-3 9.549926-3 9.192953-3 1.192200-2 1.155615-2 1.192200-2 9.504656-3 1.377600-2 1.137149-2 1.377600-2 1.055425-2 1.433600-2 1.111276-2 1.433600-2 1.096554-2 2.722701-2 2.378181-2 8.096000-2 7.747239-2 8.096000-2 2.327477-2 8.413951-2 2.632927-2 8.810489-2 3.018405-2 9.120108-2 3.317241-2 1.161449-1 5.762176-2 1.862087-1 1.270908-1 1.566751+0 1.506690+0 1.000000+5 9.999994+4 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 8.096000-2 2.181981+3 8.320000-2 2.034580+3 8.430000-2 1.974514+3 8.650000-2 1.843544+3 9.015711-2 1.666577+3 1.000000-1 1.273728+3 1.122019-1 9.485671+2 1.479108-1 4.584594+2 2.344229-1 1.351135+2 2.851018-1 8.092625+1 3.311311-1 5.506018+1 3.845918-1 3.773944+1 4.365158-1 2.760193+1 4.954502-1 2.034358+1 5.623413-1 1.511268+1 6.309573-1 1.161716+1 6.998420-1 9.232636+0 7.943282-1 7.026799+0 9.120108-1 5.260715+0 1.000000+0 4.359594+0 1.161449+0 3.246002+0 1.303167+0 2.603130+0 1.479108+0 2.057391+0 1.678804+0 1.638706+0 1.883649+0 1.342183+0 2.137962+0 1.086416+0 2.483133+0 8.527058-1 2.851018+0 6.866254-1 3.235937+0 5.666533-1 3.758374+0 4.550048-1 4.415704+0 3.620943-1 5.188000+0 2.903474-1 6.165950+0 2.309359-1 7.328245+0 1.850040-1 9.015711+0 1.429739-1 1.100000+1 1.124500-1 1.333521+1 8.969919-2 1.698244+1 6.800700-2 2.264644+1 4.935010-2 3.054921+1 3.563564-2 4.466836+1 2.379094-2 6.918310+1 1.506807-2 1.174898+2 8.749394-3 2.344229+2 4.338863-3 4.677351+2 2.163130-3 1.862087+3 5.412068-4 1.000000+5 1.006000-5 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 8.096000-2 4.992800-4 1.000000+5 4.992800-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.096000-2 7.124600-2 1.000000+5 7.124600-2 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.096000-2 9.214720-3 1.000000+5 9.999993+4 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.433600-2 7.934815+3 1.500000-2 7.358860+3 1.531087-2 7.088152+3 1.603245-2 6.574418+3 1.737801-2 5.680690+3 1.883649-2 4.933875+3 2.000000-2 4.418660+3 2.290868-2 3.415303+3 2.884032-2 2.161370+3 3.273407-2 1.661763+3 3.715352-2 1.272720+3 4.466836-2 8.519118+2 5.188000-2 6.089542+2 5.821032-2 4.680451+2 6.839116-2 3.213866+2 8.128305-2 2.129278+2 9.660509-2 1.399226+2 1.161449-1 8.873221+1 1.445440-1 5.125479+1 2.660725-1 1.090571+1 3.235937-1 6.680750+0 3.801894-1 4.492742+0 4.415705-1 3.130198+0 5.069907-1 2.258407+0 5.754399-1 1.686668+0 6.531306-1 1.268541+0 7.413102-1 9.611914-1 8.413951-1 7.336973-1 9.440609-1 5.784002-1 1.059254+0 4.595733-1 1.216186+0 3.510182-1 1.380384+0 2.761877-1 1.566751+0 2.189867-1 1.757924+0 1.786015-1 1.972423+0 1.467163-1 2.290868+0 1.146895-1 2.660725+0 9.033885-2 3.054921+0 7.300074-2 3.548134+0 5.844688-2 4.120975+0 4.714027-2 4.841724+0 3.767853-2 5.754399+0 2.987777-2 6.839116+0 2.386648-2 8.317638+0 1.865849-2 1.023293+1 1.448636-2 1.258925+1 1.133292-2 1.584893+1 8.690612-3 2.041738+1 6.538870-3 2.786121+1 4.650659-3 3.890451+1 3.253093-3 5.821032+1 2.130196-3 9.015711+1 1.355461-3 1.798871+2 6.702253-4 3.589219+2 3.336180-4 1.428894+3 8.335534-5 1.000000+5 1.188700-6 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.433600-2 7.113500-4 1.000000+5 7.113500-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.433600-2 3.602800-3 1.000000+5 3.602800-3 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.433600-2 1.002185-2 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.377600-2 1.596679+4 1.412538-2 1.497300+4 1.531087-2 1.224100+4 1.819701-2 7.833000+3 2.041738-2 5.760700+3 2.630268-2 2.883900+3 3.349654-2 1.459200+3 4.168694-2 7.771600+2 5.188000-2 4.095900+2 6.500000-2 2.098100+2 8.511380-2 9.355200+1 1.445440-1 1.901276+1 1.819701-1 9.572677+0 2.213095-1 5.381527+0 2.600160-1 3.372778+0 3.019952-1 2.201624+0 3.467369-1 1.496026+0 3.935501-1 1.057273+0 4.466836-1 7.528494-1 5.011872-1 5.568727-1 5.623413-1 4.149765-1 6.237348-1 3.206407-1 6.839117-1 2.566224-1 7.585776-1 2.011159-1 8.511380-1 1.545469-1 9.549926-1 1.194372-1 1.011579+0 1.056311-1 1.109175+0 8.759152-2 1.216186+0 7.318666-2 1.333521+0 6.158137-2 1.548817+0 4.699018-2 1.757924+0 3.754502-2 1.972423+0 3.082947-2 2.290868+0 2.410188-2 2.660725+0 1.898741-2 3.054921+0 1.534539-2 3.548134+0 1.228604-2 4.120975+0 9.909283-3 4.841724+0 7.920313-3 5.754399+0 6.280399-3 6.839116+0 5.016721-3 8.317638+0 3.922079-3 1.023293+1 3.045165-3 1.258925+1 2.382228-3 1.584893+1 1.826815-3 2.065380+1 1.356996-3 2.851018+1 9.535272-4 4.027170+1 6.592557-4 6.025596+1 4.319720-4 9.332543+1 2.750222-4 1.862087+2 1.360361-4 3.715352+2 6.773141-5 1.479108+3 1.692684-5 1.000000+5 2.498700-7 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.377600-2 5.127400-4 1.000000+5 5.127400-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.377600-2 4.787400-3 1.000000+5 4.787400-3 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.377600-2 8.475860-3 1.000000+5 9.999999+4 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.192200-2 3.660235+4 1.250000-2 3.208516+4 1.333521-2 2.690470+4 1.584893-2 1.665785+4 1.800000-2 1.158032+4 2.300000-2 5.669320+3 2.917427-2 2.779490+3 3.630781-2 1.422100+3 4.466836-2 7.453929+2 5.432503-2 4.014693+2 6.760830-2 1.994066+2 8.810489-2 8.475582+1 1.462177-1 1.636512+1 1.800000-1 8.380550+0 2.162719-1 4.677265+0 2.511886-1 2.928094+0 2.884032-1 1.914680+0 3.273407-1 1.306920+0 3.672823-1 9.301520-1 4.073803-1 6.893077-1 4.518559-1 5.142673-1 5.011872-1 3.863678-1 5.559043-1 2.924534-1 6.165950-1 2.231756-1 6.839117-1 1.716412-1 8.035261-1 1.153894-1 8.709636-1 9.529897-2 9.332543-1 8.144203-2 9.885531-1 7.185840-2 1.071519+0 6.083022-2 1.174898+0 5.068047-2 1.288250+0 4.253697-2 1.445440+0 3.446816-2 1.717908+0 2.533199-2 1.927525+0 2.076736-2 2.213095+0 1.651405-2 2.570396+0 1.298487-2 2.951209+0 1.047493-2 3.388442+0 8.513890-3 3.935501+0 6.851771-3 4.623810+0 5.464727-3 5.432503+0 4.390935-3 6.531306+0 3.447420-3 7.762471+0 2.768404-3 9.549926+0 2.144008-3 1.200000+1 1.631700-3 1.531087+1 1.230703-3 1.972423+1 9.250917-4 2.630268+1 6.740007-4 3.630781+1 4.766077-4 5.432503+1 3.116805-4 8.511380+1 1.957600-4 1.698244+2 9.673408-5 3.388442+2 4.813288-5 1.348963+3 1.202099-5 1.000000+5 1.618400-7 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.192200-2 5.014300-4 1.000000+5 5.014300-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.192200-2 3.228400-3 1.000000+5 3.228400-3 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.192200-2 8.192170-3 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 3.401400-3 2.234461+4 3.590000-3 2.109620+4 3.758374-3 1.982363+4 4.027170-3 1.809559+4 4.230000-3 1.692668+4 4.518559-3 1.535913+4 5.688529-3 1.086718+4 6.095369-3 9.728358+3 7.500000-3 6.893620+3 8.317638-3 5.757574+3 9.772372-3 4.323479+3 1.174898-2 3.076436+3 1.333521-2 2.418297+3 1.531087-2 1.850053+3 1.819701-2 1.312214+3 2.162719-2 9.225029+2 2.570396-2 6.429407+2 3.054921-2 4.443593+2 3.589219-2 3.123896+2 4.216965-2 2.180507+2 5.000000-2 1.479905+2 5.956621-2 9.852493+1 7.079458-2 6.546506+1 8.413951-2 4.318954+1 1.023293-1 2.672303+1 1.288250-1 1.506800+1 1.603245-1 8.687698+0 2.511886-1 2.786049+0 3.126079-1 1.611210+0 3.715352-1 1.052658+0 4.315191-1 7.330577-1 4.954502-1 5.286238-1 5.688529-1 3.840699-1 6.382635-1 2.962332-1 7.244360-1 2.242282-1 8.317638-1 1.668528-1 9.332543-1 1.313430-1 1.035142+0 1.066514-1 1.188502+0 8.136165-2 1.348963+0 6.393325-2 1.531087+0 5.062446-2 1.717908+0 4.123215-2 1.927525+0 3.382088-2 2.213095+0 2.690178-2 2.570396+0 2.115200-2 2.951209+0 1.706100-2 3.388442+0 1.386726-2 3.935501+0 1.116049-2 4.623810+0 8.901000-3 5.432503+0 7.151988-3 6.531306+0 5.615273-3 7.762471+0 4.509286-3 9.549926+0 3.492099-3 1.202264+1 2.651935-3 1.531087+1 2.004626-3 1.972423+1 1.506785-3 2.630268+1 1.097875-3 3.589219+1 7.858590-4 5.370318+1 5.138123-4 8.413951+1 3.226499-4 1.678804+2 1.594144-4 3.349654+2 7.931322-5 1.333521+3 1.980733-5 1.000000+5 2.636100-7 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 3.401400-3 5.061700-4 1.000000+5 5.061700-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.401400-3 2.436000-5 1.000000+5 2.436000-5 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.401400-3 2.870870-3 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 3.144300-3 3.644345+4 3.273407-3 3.502177+4 3.630781-3 3.095499+4 3.845918-3 2.873738+4 4.216965-3 2.522961+4 4.623810-3 2.202803+4 4.954502-3 1.980847+4 5.308844-3 1.771687+4 5.650000-3 1.592424+4 6.683439-3 1.180081+4 7.161434-3 1.036512+4 8.317638-3 7.731736+3 9.015711-3 6.566062+3 1.040000-2 4.861740+3 1.135011-2 4.023278+3 1.303167-2 2.955415+3 1.450000-2 2.312220+3 1.650000-2 1.705784+3 1.905461-2 1.203615+3 2.162719-2 8.787985+2 2.454709-2 6.373887+2 2.818383-2 4.457230+2 3.273407-2 3.001039+2 3.801894-2 2.005073+2 4.415704-2 1.330014+2 5.248075-2 8.216737+1 6.237348-2 5.038742+1 7.673615-2 2.778210+1 1.000000-1 1.286868+1 1.798871-1 2.313681+0 2.213095-1 1.270910+0 2.630268-1 7.766567-1 3.054921-1 5.102156-1 3.507519-1 3.485062-1 4.000000-1 2.442376-1 4.518559-1 1.768410-1 5.069907-1 1.312352-1 5.688529-1 9.808106-2 6.309573-1 7.596799-2 6.998420-1 5.923302-2 7.762471-1 4.650129-2 8.709636-1 3.576719-2 9.440609-1 2.996512-2 1.022000+0 2.536359-2 1.122018+0 2.102082-2 1.244515+0 1.720807-2 1.396368+0 1.389260-2 1.659587+0 1.018320-2 1.862087+0 8.332596-3 2.089296+0 6.869081-3 2.426610+0 5.385756-3 2.818383+0 4.255558-3 3.198895+0 3.510041-3 3.715352+0 2.816878-3 4.365158+0 2.240389-3 5.128614+0 1.795481-3 6.095369+0 1.427406-3 7.244360+0 1.142920-3 8.912509+0 8.829240-4 1.083927+1 6.968088-4 1.303167+1 5.610069-4 1.640590+1 4.305849-4 2.162719+1 3.161195-4 2.951209+1 2.252007-4 4.265795+1 1.520721-4 6.531306+1 9.738310-5 1.035142+2 6.063717-5 2.000000+2 3.102100-5 3.981072+2 1.548876-5 1.584893+3 3.872222-6 1.000000+5 6.125500-8 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 3.144300-3 4.352300-4 1.000000+5 4.352300-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.144300-3 4.905300-5 1.000000+5 4.905300-5 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.144300-3 2.660017-3 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.734000-3 1.132707+5 2.741000-3 1.129033+5 2.741500-3 1.142857+5 2.851018-3 1.076936+5 2.917427-3 1.036709+5 2.985383-3 1.003097+5 3.311311-3 8.505945+4 3.548134-3 7.561590+4 4.120975-3 5.817080+4 4.518559-3 4.916375+4 4.841724-3 4.304550+4 5.821032-3 2.984946+4 6.309573-3 2.523772+4 7.413102-3 1.785928+4 8.128305-3 1.454734+4 9.332543-3 1.061418+4 1.059254-2 7.872210+3 1.174898-2 6.131943+3 1.350000-2 4.347240+3 1.513561-2 3.251614+3 1.698244-2 2.413512+3 1.950000-2 1.673668+3 2.238721-2 1.151370+3 2.570396-2 7.856700+2 2.985383-2 5.149800+2 3.467369-2 3.346923+2 4.027170-2 2.158079+2 4.677351-2 1.381361+2 5.500000-2 8.458520+1 6.531306-2 4.989079+1 8.035261-2 2.617288+1 1.035142-1 1.178525+1 1.698244-1 2.456263+0 2.089296-1 1.282714+0 2.454709-1 7.789479-1 2.818383-1 5.113729-1 3.198895-1 3.500211-1 3.630781-1 2.413722-1 4.073803-1 1.734385-1 4.518559-1 1.296765-1 5.011872-1 9.760943-2 5.559043-1 7.400644-2 6.165950-1 5.652424-2 6.839117-1 4.349971-2 7.585776-1 3.373314-2 8.609938-1 2.489886-2 9.225714-1 2.122493-2 9.772372-1 1.868764-2 1.047129+0 1.616532-2 1.135011+0 1.374337-2 1.244515+0 1.150227-2 1.380384+0 9.497574-3 1.698244+0 6.557523-3 1.905461+0 5.371831-3 2.162719+0 4.350321-3 2.511886+0 3.416490-3 2.884032+0 2.752668-3 3.311311+0 2.234518-3 3.845918+0 1.796303-3 4.518559+0 1.431101-3 5.308844+0 1.148718-3 6.309573+0 9.145343-4 7.498942+0 7.333612-4 9.225714+0 5.672290-4 1.135011+1 4.420894-4 1.445440+1 3.334617-4 1.862087+1 2.502306-4 2.454709+1 1.843629-4 3.311311+1 1.333834-4 4.897788+1 8.812121-5 7.762471+1 5.459235-5 1.548817+2 2.694367-5 3.090295+2 1.339733-5 6.165950+2 6.686070-6 2.454709+3 1.674689-6 1.000000+5 4.105400-8 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.734000-3 3.934700-4 1.000000+5 3.934700-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.734000-3 1.364000-5 1.000000+5 1.364000-5 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.734000-3 2.326890-3 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.300700-3 2.074092+5 2.389000-3 2.250596+5 2.393000-3 2.255486+5 2.398833-3 2.271254+5 2.450000-3 2.372917+5 2.490000-3 2.432159+5 2.550000-3 2.475868+5 2.570396-3 2.486329+5 2.581700-3 2.486236+5 2.600160-3 2.477923+5 2.634000-3 2.447098+5 2.650000-3 2.424492+5 2.920000-3 1.887152+5 3.198895-3 1.480836+5 3.548134-3 1.116799+5 3.900000-3 8.573160+4 4.315191-3 6.417315+4 4.900000-3 4.424360+4 5.888437-3 2.537305+4 6.456542-3 1.907267+4 7.500000-3 1.189416+4 8.413951-3 8.208553+3 9.500000-3 5.520080+3 1.109175-2 3.291834+3 1.258925-2 2.140078+3 1.412538-2 1.439126+3 1.640590-2 8.522649+2 1.905461-2 5.005169+2 2.213095-2 2.916398+2 2.600160-2 1.617115+2 3.054921-2 8.898997+1 3.630781-2 4.656842+1 4.415704-2 2.217652+1 5.559043-2 9.187732+0 1.071519-1 7.338458-1 1.318257-1 3.325288-1 1.603245-1 1.586320-1 1.862087-1 9.067484-2 2.187762-1 5.005900-2 2.454709-1 3.297972-2 2.722701-1 2.281507-2 3.235937-1 1.249731-2 3.630781-1 8.429766-3 4.027170-1 5.955888-3 4.466836-1 4.238351-3 4.954502-1 3.038990-3 5.432503-1 2.275577-3 5.956621-1 1.716192-3 6.456542-1 1.351879-3 7.079458-1 1.037136-3 8.035261-1 7.280555-4 8.609938-1 5.985057-4 9.120108-1 5.115437-4 9.549926-1 4.537314-4 1.000000+0 4.049754-4 1.047129+0 3.641038-4 1.096478+0 3.296889-4 1.148154+0 3.003307-4 1.216186+0 2.691144-4 1.318257+0 2.325764-4 1.531087+0 1.796262-4 1.819701+0 1.324359-4 2.018366+0 1.109910-4 2.344229+0 8.684193-5 2.691535+0 6.973451-5 3.090295+0 5.639615-5 3.589219+0 4.517952-5 4.216965+0 3.587260-5 4.954502+0 2.870341-5 5.888437+0 2.278467-5 7.000000+0 1.821200-5 8.511380+0 1.425509-5 1.047129+1 1.107720-5 1.273503+1 8.790294-6 1.603245+1 6.742648-6 2.089296+1 5.010404-6 2.851018+1 3.565858-6 4.027170+1 2.465359-6 6.025596+1 1.615427-6 9.332543+1 1.028473-6 1.840772+2 5.147069-7 3.672823+2 2.562420-7 1.462177+3 6.403227-8 1.000000+5 9.34450-10 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.300700-3 2.836900-4 1.000000+5 2.836900-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.300700-3 5.898800-5 1.000000+5 5.898800-5 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.300700-3 1.958022-3 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.212200-3 4.683337+5 2.280000-3 4.501765+5 2.287300-3 4.492146+5 2.380000-3 4.296917+5 2.430000-3 4.185048+5 2.483133-3 4.040062+5 2.500000-3 3.981126+5 2.818383-3 2.908080+5 3.126079-3 2.197229+5 3.467369-3 1.648309+5 3.801894-3 1.268416+5 4.120975-3 1.003700+5 4.677351-3 6.906980+4 5.128614-3 5.216773+4 5.888437-3 3.406612+4 6.531306-3 2.453557+4 7.328245-3 1.696208+4 8.317638-3 1.120323+4 9.332543-3 7.637087+3 1.071519-2 4.781330+3 1.216186-2 3.088442+3 1.380384-2 1.980968+3 1.566751-2 1.262111+3 1.800000-2 7.644300+2 2.065380-2 4.617259+2 2.398833-2 2.647002+2 2.786121-2 1.505973+2 3.198895-2 8.894977+1 3.801894-2 4.571381+1 4.623810-2 2.131800+1 5.623413-2 9.868303+0 1.035142-1 8.803031-1 1.273503-1 3.897885-1 1.513561-1 1.991515-1 1.737801-1 1.170900-1 1.972423-1 7.246380-2 2.213095-1 4.720425-2 2.483133-1 3.098799-2 2.754229-1 2.136807-2 3.054921-1 1.484082-2 3.349654-1 1.080172-2 3.672823-1 7.913974-3 4.027170-1 5.839297-3 4.415705-1 4.341387-3 4.841724-1 3.252793-3 5.248075-1 2.543859-3 5.754399-1 1.935468-3 6.382635-1 1.435198-3 6.918310-1 1.144745-3 7.498942-1 9.191992-4 8.413951-1 6.788651-4 8.912509-1 5.867812-4 9.440609-1 5.105456-4 9.885531-1 4.592959-4 1.047129+0 4.054057-4 1.122018+0 3.518336-4 1.202264+0 3.075291-4 1.318257+0 2.591179-4 1.757924+0 1.554012-4 1.972423+0 1.275422-4 2.290868+0 9.968578-5 2.660725+0 7.852854-5 3.054921+0 6.346638-5 3.548134+0 5.081301-5 4.120975+0 4.098313-5 4.841724+0 3.275753-5 5.754399+0 2.597503-5 6.839116+0 2.074920-5 8.317638+0 1.622150-5 1.023293+1 1.259427-5 1.258925+1 9.852822-6 1.584893+1 7.555526-6 2.041738+1 5.684839-6 2.786121+1 4.043200-6 3.890451+1 2.828277-6 5.821032+1 1.851965-6 9.015711+1 1.178462-6 1.798871+2 5.826911-7 3.589219+2 2.900463-7 1.428894+3 7.246744-8 1.000000+5 1.033500-9 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.212200-3 2.813400-4 1.000000+5 2.813400-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.212200-3 2.480600-8 1.000000+5 2.480600-8 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.212200-3 1.930835-3 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 7.474000-4 5.194054+4 8.350000-4 4.820340+4 9.700000-4 4.224520+4 1.047129-3 3.934383+4 1.110000-3 3.695520+4 1.333521-3 2.999987+4 1.445440-3 2.716886+4 1.717908-3 2.168313+4 1.900000-3 1.887584+4 2.213095-3 1.515635+4 2.483133-3 1.275700+4 2.900000-3 1.003422+4 3.388442-3 7.813065+3 3.935501-3 6.096449+3 4.570882-3 4.724548+3 5.370318-3 3.563572+3 6.309573-3 2.668927+3 7.500000-3 1.942808+3 8.912509-3 1.405015+3 1.080000-2 9.716400+2 1.303167-2 6.720149+2 1.566751-2 4.644977+2 1.862087-2 3.262144+2 2.238721-2 2.220061+2 2.660725-2 1.536066+2 3.162278-2 1.054979+2 3.758374-2 7.193432+1 4.466836-2 4.868546+1 5.308844-2 3.270622+1 6.309573-2 2.181025+1 7.673615-2 1.366500+1 9.015711-2 9.235333+0 1.122019-1 5.381792+0 1.462177-1 2.774785+0 2.540973-1 6.854295-1 3.162278-1 3.966743-1 3.758374-1 2.593371-1 4.365158-1 1.807268-1 5.011872-1 1.304139-1 5.754399-1 9.481865-2 6.531306-1 7.133222-2 7.413102-1 5.406403-2 8.511380-1 4.028305-2 9.440609-1 3.251206-2 1.059254+0 2.582548-2 1.216186+0 1.972460-2 1.380384+0 1.552066-2 1.566751+0 1.230705-2 1.757924+0 1.003750-2 1.972423+0 8.245401-3 2.290868+0 6.445344-3 2.660725+0 5.076902-3 3.054921+0 4.102578-3 3.548134+0 3.284672-3 4.120975+0 2.649250-3 4.841724+0 2.117497-3 5.754399+0 1.679053-3 6.839116+0 1.341249-3 8.317638+0 1.048587-3 1.023293+1 8.141232-4 1.258925+1 6.368943-4 1.584893+1 4.883949-4 2.041738+1 3.674738-4 2.786121+1 2.613629-4 3.890451+1 1.828191-4 5.821032+1 1.197140-4 9.015711+1 7.617517-5 1.798871+2 3.766592-5 3.589219+2 1.874870-5 1.428894+3 4.684446-6 1.000000+5 6.680500-8 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 7.474000-4 2.847700-4 1.000000+5 2.847700-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 7.474000-4 8.898000-8 1.000000+5 8.898000-8 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 7.474000-4 4.625410-4 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 6.362800-4 4.347209+4 7.350000-4 4.312675+4 8.413951-4 4.211045+4 8.810489-4 4.152401+4 9.500000-4 4.030500+4 1.030000-3 3.876780+4 1.110000-3 3.714060+4 1.190000-3 3.545360+4 1.273503-3 3.362680+4 1.400000-3 3.096540+4 1.513561-3 2.876457+4 1.640590-3 2.645027+4 1.819701-3 2.353881+4 1.972423-3 2.137620+4 2.162719-3 1.900594+4 2.400000-3 1.652744+4 2.630268-3 1.451646+4 2.951209-3 1.223457+4 3.273407-3 1.041221+4 3.672823-3 8.639023+3 4.120975-3 7.109985+3 4.623810-3 5.809052+3 5.188000-3 4.711850+3 5.821032-3 3.795253+3 6.606934-3 2.968512+3 7.500000-3 2.303040+3 8.511380-3 1.774141+3 9.772372-3 1.323068+3 1.122018-2 9.781524+2 1.273503-2 7.360219+2 1.445440-2 5.499606+2 1.640590-2 4.081211+2 1.862087-2 3.007800+2 2.137962-2 2.139865+2 2.454709-2 1.510852+2 2.818383-2 1.059087+2 3.273407-2 7.152229+1 3.801894-2 4.793848+1 4.466836-2 3.091321+1 5.248075-2 1.978674+1 6.309573-2 1.178852+1 7.673615-2 6.746088+0 9.772372-2 3.356989+0 1.819701-1 5.501296-1 2.000000-1 4.186620-1 2.018366-1 4.086022-1 2.454709-1 2.335793-1 2.884032-1 1.483909-1 3.349654-1 9.805318-2 3.845918-1 6.737428-2 4.365158-1 4.810780-2 4.954502-1 3.461304-2 5.559043-1 2.584518-2 6.165950-1 1.999859-2 6.839117-1 1.557770-2 7.585776-1 1.221484-2 8.609938-1 9.140677-3 9.332543-1 7.648123-3 1.000000+0 6.603211-3 1.096478+0 5.475345-3 1.202264+0 4.573773-3 1.333521+0 3.762942-3 1.531087+0 2.927309-3 1.737801+0 2.337318-3 1.949845+0 1.917978-3 2.238721+0 1.526577-3 2.600160+0 1.201102-3 3.000000+0 9.622500-4 3.467369+0 7.752187-4 4.027170+0 6.245799-4 4.731513+0 4.986831-4 5.559043+0 4.011015-4 6.683439+0 3.152354-4 8.035261+0 2.497673-4 9.885531+0 1.936641-4 1.230269+1 1.492863-4 1.548817+1 1.144127-4 2.000000+1 8.580200-5 2.691535+1 6.191695-5 3.715352+1 4.380771-5 5.559043+1 2.866127-5 8.609938+1 1.822327-5 1.717908+2 9.005982-6 3.427678+2 4.481489-6 1.364583+3 1.119301-6 1.000000+5 1.524400-8 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 6.362800-4 2.484800-4 1.000000+5 2.484800-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 6.362800-4 9.045500-8 1.000000+5 9.045500-8 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 6.362800-4 3.877095-4 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 5.373900-4 2.166114+5 6.309573-4 2.031875+5 6.760830-4 1.933437+5 7.585776-4 1.755005+5 8.511380-4 1.575375+5 9.332543-4 1.435195+5 1.011579-3 1.315285+5 1.096478-3 1.196576+5 1.244515-3 1.022105+5 1.364583-3 9.051668+4 1.531087-3 7.705662+4 1.698244-3 6.625713+4 1.905461-3 5.555887+4 2.113489-3 4.714055+4 2.400000-3 3.820172+4 2.691535-3 3.137888+4 3.054921-3 2.505199+4 3.427678-3 2.026411+4 3.845918-3 1.628891+4 4.365158-3 1.271434+4 5.000000-3 9.663520+3 5.688529-3 7.385910+3 6.382635-3 5.772678+3 7.161434-3 4.485105+3 8.128305-3 3.374534+3 9.225714-3 2.520641+3 1.047129-2 1.869788+3 1.202264-2 1.338983+3 1.380384-2 9.508823+2 1.566751-2 6.897097+2 1.798871-2 4.819586+2 2.041738-2 3.446705+2 2.344229-2 2.372216+2 2.691535-2 1.620254+2 3.090295-2 1.098568+2 3.589219-2 7.154388+1 4.168694-2 4.623035+1 4.841724-2 2.965499+1 5.688529-2 1.824804+1 6.760830-2 1.076416+1 8.222426-2 5.870345+0 1.047129-1 2.752019+0 1.798871-1 4.998033-1 2.137962-1 2.917937-1 2.600160-1 1.599477-1 2.985383-1 1.053830-1 3.388442-1 7.242738-2 3.801894-1 5.185576-2 4.265795-1 3.739664-2 4.731513-1 2.805296-2 5.248075-1 2.118765-2 5.821032-1 1.611850-2 6.382635-1 1.272431-2 7.079458-1 9.825594-3 7.852356-1 7.645790-3 8.709636-1 5.971232-3 9.332543-1 5.096925-3 9.885531-1 4.493350-3 1.071519+0 3.801432-3 1.161449+0 3.237847-3 1.273503+0 2.715127-3 1.412538+0 2.245537-3 1.717908+0 1.583959-3 1.927525+0 1.298430-3 2.213095+0 1.032434-3 2.570396+0 8.117766-4 2.951209+0 6.548665-4 3.388442+0 5.322727-4 3.935501+0 4.283667-4 4.623810+0 3.416566-4 5.432503+0 2.745210-4 6.456542+0 2.187675-4 7.673615+0 1.755942-4 9.440609+0 1.359336-4 1.174898+1 1.045939-4 1.500000+1 7.877100-5 1.927525+1 5.933968-5 2.540973+1 4.375537-5 3.467369+1 3.129500-5 5.188000+1 2.044711-5 8.128305+1 1.283232-5 1.621810+2 6.337074-6 3.235937+2 3.152172-6 1.288250+3 7.869985-7 1.000000+5 1.011800-8 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 5.373900-4 2.257300-4 1.000000+5 2.257300-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 5.373900-4 5.005400-8 1.000000+5 5.005400-8 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 5.373900-4 3.116099-4 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 3.534800-4 1.586032+5 3.550000-4 1.514832+5 3.565000-4 1.456000+5 3.585000-4 1.390716+5 3.610000-4 1.325668+5 3.630781-4 1.281345+5 3.655000-4 1.239048+5 3.680000-4 1.204428+5 3.710000-4 1.173632+5 3.733000-4 1.157364+5 3.758374-4 1.146216+5 3.785000-4 1.141292+5 3.815000-4 1.142540+5 3.850000-4 1.150636+5 3.900000-4 1.170848+5 3.950000-4 1.198120+5 4.027170-4 1.250402+5 4.265795-4 1.445013+5 4.390000-4 1.542384+5 4.550000-4 1.658540+5 4.786301-4 1.822090+5 4.954502-4 1.932585+5 5.080000-4 2.006500+5 5.248075-4 2.093108+5 5.432503-4 2.171803+5 5.650000-4 2.246000+5 5.888437-4 2.308613+5 6.100000-4 2.349496+5 6.309573-4 2.376090+5 6.531306-4 2.390266+5 6.839116-4 2.391967+5 7.150000-4 2.376212+5 7.500000-4 2.341036+5 7.943282-4 2.280271+5 8.350000-4 2.214208+5 8.810489-4 2.129974+5 9.332543-4 2.026723+5 9.885531-4 1.915521+5 1.050000-3 1.794628+5 1.110000-3 1.680024+5 1.174898-3 1.561522+5 1.270000-3 1.401732+5 1.364583-3 1.260005+5 1.462177-3 1.129185+5 1.584893-3 9.866144+4 1.698244-3 8.738146+4 1.850000-3 7.458480+4 2.018366-3 6.302867+4 2.187762-3 5.354609+4 2.400000-3 4.408160+4 2.630268-3 3.607031+4 2.884032-3 2.927736+4 3.162278-3 2.358634+4 3.467369-3 1.887679+4 3.845918-3 1.457713+4 4.216965-3 1.150520+4 4.650000-3 8.892760+3 5.188000-3 6.611730+3 5.821032-3 4.799878+3 6.531306-3 3.454933+3 7.328245-3 2.466636+3 8.300000-3 1.698096+3 9.332543-3 1.185017+3 1.035142-2 8.568576+2 1.161449-2 5.936095+2 1.303167-2 4.083746+2 1.479108-2 2.685360+2 1.678804-2 1.751970+2 1.905461-2 1.134598+2 2.162719-2 7.296463+1 2.483133-2 4.474265+1 2.884032-2 2.613124+1 3.349654-2 1.514677+1 3.935501-2 8.356889+0 4.731513-2 4.201355+0 5.821032-2 1.922803+0 1.161449-1 1.387851-1 1.445440-1 6.078019-2 1.737801-1 3.054887-2 2.018366-1 1.759483-2 2.317395-1 1.066002-2 2.630268-1 6.782586-3 2.985383-1 4.347923-3 3.349654-1 2.921425-3 3.758374-1 1.977710-3 4.168694-1 1.401924-3 4.623810-1 1.001010-3 5.069907-1 7.469529-4 5.559043-1 5.611334-4 6.025596-1 4.394708-4 6.606935-1 3.350375-4 7.244360-1 2.573183-4 8.035261-1 1.927042-4 8.609938-1 1.585923-4 9.120108-1 1.356936-4 9.549926-1 1.204611-4 1.000000+0 1.076024-4 1.047129+0 9.680407-5 1.096478+0 8.768492-5 1.161449+0 7.810917-5 1.230269+0 7.007252-5 1.333521+0 6.059681-5 1.479108+0 5.069337-5 1.862087+0 3.381558-5 2.065380+0 2.839223-5 2.398833+0 2.224547-5 2.786121+0 1.756543-5 3.162278+0 1.447911-5 3.672823+0 1.161286-5 4.315191+0 9.231037-6 5.069907+0 7.394000-6 6.025596+0 5.875210-6 7.161434+0 4.702023-6 8.810489+0 3.630732-6 1.071519+1 2.864261-6 1.288250+1 2.305180-6 1.603245+1 1.792068-6 2.089296+1 1.331650-6 2.851018+1 9.477197-7 4.027170+1 6.552347-7 6.025596+1 4.293338-7 9.332543+1 2.733409-7 1.862087+2 1.352087-7 3.715352+2 6.731799-8 1.479108+3 1.682342-8 1.000000+5 2.48350-10 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 3.534800-4 1.714700-4 1.000000+5 1.714700-4 1 79000 7 7 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 3.534800-4 4.875100-8 1.000000+5 4.875100-8 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 3.534800-4 1.819612-4 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 3.350500-4 2.013324+5 3.370000-4 1.974846+5 3.450000-4 1.801362+5 3.485000-4 1.741494+5 3.515000-4 1.704210+5 3.540000-4 1.684770+5 3.565000-4 1.676340+5 3.590000-4 1.678122+5 3.615000-4 1.688448+5 3.650000-4 1.713486+5 3.700000-4 1.763148+5 3.760000-4 1.836690+5 3.845918-4 1.961681+5 4.027170-4 2.261648+5 4.120975-4 2.411836+5 4.216965-4 2.553170+5 4.320000-4 2.692362+5 4.466836-4 2.876225+5 4.650000-4 3.091380+5 4.786301-4 3.237180+5 4.930000-4 3.372696+5 5.080000-4 3.492732+5 5.248075-4 3.601997+5 5.450000-4 3.704046+5 5.688529-4 3.792388+5 5.900000-4 3.845334+5 6.100000-4 3.874368+5 6.382635-4 3.883104+5 6.683439-4 3.861970+5 7.000000-4 3.810852+5 7.400000-4 3.718692+5 7.800000-4 3.607926+5 8.222426-4 3.476347+5 8.709636-4 3.311347+5 9.225714-4 3.131037+5 9.885531-4 2.905161+5 1.050000-3 2.703126+5 1.122018-3 2.478223+5 1.202264-3 2.248697+5 1.288250-3 2.027080+5 1.380384-3 1.815637+5 1.500000-3 1.578156+5 1.621810-3 1.373366+5 1.757924-3 1.181624+5 1.905461-3 1.009728+5 2.089296-3 8.371124+4 2.264644-3 7.056628+4 2.483133-3 5.763948+4 2.722701-3 4.671886+4 3.000000-3 3.716640+4 3.311311-3 2.920905+4 3.630781-3 2.316728+4 4.000000-3 1.803768+4 4.466836-3 1.344534+4 5.011872-3 9.805498+3 5.559043-3 7.323201+3 6.095369-3 5.616616+3 6.683439-3 4.284711+3 7.413102-3 3.140016+3 8.222426-3 2.286211+3 9.225714-3 1.595236+3 1.023293-2 1.146040+3 1.148154-2 7.880325+2 1.288250-2 5.382071+2 1.445440-2 3.650938+2 1.621810-2 2.459066+2 1.840772-2 1.580552+2 2.089296-2 1.008368+2 2.371374-2 6.386158+1 2.722701-2 3.850903+1 3.126079-2 2.305392+1 3.630781-2 1.312610+1 4.315191-2 6.797866+0 5.188000-2 3.342498+0 6.531306-2 1.363581+0 1.230269-1 1.140439-1 1.462177-1 5.835890-2 1.698244-1 3.289550-2 1.927525-1 2.039323-2 2.162719-1 1.329478-2 2.426610-1 8.730709-3 2.691535-1 6.020447-3 3.000000-1 4.110140-3 3.311311-1 2.924434-3 3.630781-1 2.143299-3 3.981072-1 1.581857-3 4.365158-1 1.176720-3 4.786301-1 8.819423-4 5.248075-1 6.659343-4 5.688529-1 5.241013-4 6.165950-1 4.151215-4 6.683439-1 3.310299-4 7.244360-1 2.657277-4 7.852356-1 2.147354-4 8.609938-1 1.689279-4 9.120108-1 1.462972-4 9.660509-1 1.275916-4 1.011579+0 1.150554-4 1.071519+0 1.017891-4 1.148154+0 8.854259-5 1.244515+0 7.589356-5 1.364583+0 6.413639-5 1.819701+0 3.856546-5 2.018366+0 3.234220-5 2.344229+0 2.531237-5 2.722701+0 1.996168-5 3.090295+0 1.643399-5 3.589219+0 1.316585-5 4.216965+0 1.045381-5 4.954502+0 8.364391-6 5.888437+0 6.639534-6 7.000000+0 5.307100-6 8.609938+0 4.095373-6 1.047129+1 3.228115-6 1.273503+1 2.561555-6 1.603245+1 1.964868-6 2.089296+1 1.460077-6 2.851018+1 1.039111-6 4.073803+1 7.097357-7 6.095369+1 4.651447-7 9.440609+1 2.961971-7 1.883649+2 1.465296-7 3.758374+2 7.296020-8 1.496236+3 1.823478-8 1.000000+5 2.72310-10 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 3.350500-4 1.660500-4 1.000000+5 1.660500-4 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 3.350500-4 1.690000-4 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 9.737000-5 1.384458+5 9.750000-5 1.415682+5 9.785000-5 1.488888+5 9.815000-5 1.546794+5 9.850000-5 1.609458+5 9.900000-5 1.690542+5 9.945000-5 1.755240+5 1.000000-4 1.826532+5 1.007000-4 1.906008+5 1.015000-4 1.982952+5 1.023293-4 2.050709+5 1.030000-4 2.098134+5 1.040000-4 2.158104+5 1.050000-4 2.206992+5 1.065000-4 2.263404+5 1.080000-4 2.303808+5 1.096478-4 2.334282+5 1.120000-4 2.359074+5 1.150000-4 2.370114+5 1.220000-4 2.373354+5 1.250000-4 2.390328+5 1.273503-4 2.418608+5 1.290000-4 2.448366+5 1.307700-4 2.490848+5 1.330000-4 2.561178+5 1.350000-4 2.641494+5 1.373000-4 2.755368+5 1.396368-4 2.895256+5 1.423000-4 3.084810+5 1.450000-4 3.309096+5 1.480000-4 3.594936+5 1.520000-4 4.032378+5 1.659587-4 5.981086+5 1.720000-4 6.990360+5 1.780000-4 8.074020+5 1.840772-4 9.237885+5 1.905461-4 1.053010+6 1.950000-4 1.143510+6 2.000000-4 1.245348+6 2.060000-4 1.365276+6 2.113489-4 1.468490+6 2.170000-4 1.571796+6 2.220000-4 1.657350+6 2.286400-4 1.761657+6 2.350000-4 1.851666+6 2.426610-4 1.947097+6 2.500000-4 2.025528+6 2.580000-4 2.097444+6 2.660725-4 2.156974+6 2.754229-4 2.211176+6 2.851018-4 2.251720+6 2.951209-4 2.277515+6 3.054921-4 2.287544+6 3.162278-4 2.282152+6 3.280000-4 2.261874+6 3.427678-4 2.220109+6 3.589219-4 2.160517+6 3.758374-4 2.088188+6 3.935501-4 2.005111+6 4.120975-4 1.912611+6 4.315191-4 1.812460+6 4.518559-4 1.707095+6 4.786301-4 1.572016+6 5.069907-4 1.436988+6 5.400000-4 1.292388+6 5.688529-4 1.176912+6 6.025596-4 1.054067+6 6.456542-4 9.160587+5 6.918310-4 7.904181+5 7.413102-4 6.768443+5 7.943282-4 5.755561+5 8.511380-4 4.860790+5 9.225714-4 3.964690+5 9.885531-4 3.307180+5 1.071519-3 2.659965+5 1.174898-3 2.056673+5 1.270000-3 1.644174+5 1.400000-3 1.232898+5 1.548817-3 9.065543+4 1.717908-3 6.554943+4 1.883649-3 4.877499+4 2.041738-3 3.746975+4 2.238721-3 2.755853+4 2.483133-3 1.936312+4 2.754229-3 1.350537+4 3.054921-3 9.354276+3 3.388442-3 6.433367+3 3.758374-3 4.394834+3 4.216965-3 2.856007+3 4.731513-3 1.841581+3 5.308844-3 1.178256+3 6.000000-3 7.270140+2 6.760830-3 4.506151+2 7.673615-3 2.691679+2 8.709636-3 1.595366+2 9.885531-3 9.385629+1 1.122018-2 5.478202+1 1.273503-2 3.173202+1 1.445440-2 1.824989+1 1.659587-2 9.903983+0 1.927525-2 5.067472+0 2.264644-2 2.443984+0 2.691535-2 1.110565+0 3.198895-2 5.012443-1 4.000000-2 1.772650-1 7.943282-2 7.152081-3 9.660509-2 2.882567-3 1.122019-1 1.449126-3 1.318257-1 6.960443-4 1.584893-1 3.037496-4 1.778279-1 1.819005-4 1.972423-1 1.154123-4 2.162719-1 7.763773-5 2.398833-1 5.007657-5 2.660725-1 3.253572-5 2.985383-1 2.029023-5 3.311311-1 1.336194-5 3.672823-1 8.865522-6 4.120975-1 5.669436-6 4.466836-1 4.169360-6 4.841724-1 3.086650-6 5.188000-1 2.400888-6 5.623413-1 1.804505-6 6.095369-1 1.365968-6 6.606935-1 1.040813-6 7.161434-1 7.989267-7 7.498942-1 6.885514-7 8.035261-1 5.492329-7 8.511380-1 4.580192-7 8.912509-1 3.985828-7 9.332543-1 3.493043-7 9.660509-1 3.181009-7 1.000000+0 2.912100-7 1.035142+0 2.680845-7 1.083927+0 2.418100-7 1.135011+0 2.196745-7 1.202264+0 1.964554-7 1.288250+0 1.733006-7 1.396368+0 1.508693-7 1.513561+0 1.318514-7 1.840772+0 9.336559-8 2.018366+0 7.981681-8 2.344229+0 6.246456-8 2.722701+0 4.926235-8 3.126079+0 3.986100-8 3.630781+0 3.195192-8 4.265795+0 2.538406-8 5.011872+0 2.032149-8 5.956621+0 1.613988-8 7.079458+0 1.291034-8 8.709636+0 9.964502-9 1.059254+1 7.857647-9 1.273503+1 6.321638-9 1.603245+1 4.849015-9 2.089296+1 3.603334-9 2.851018+1 2.564413-9 4.027170+1 1.773042-9 6.025596+1 1.161742-9 9.332543+1 7.39644-10 1.840772+2 3.70158-10 3.672823+2 1.84279-10 1.462177+3 4.60496-11 1.000000+5 6.72020-13 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 9.737000-5 9.737000-5 1.000000+5 9.737000-5 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 9.737000-5 0.0 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 9.339000-5 2.182464+5 9.360000-5 2.248872+5 9.390000-5 2.332808+5 9.420000-5 2.409472+5 9.460000-5 2.502264+5 9.500000-5 2.584520+5 9.550000-5 2.676080+5 9.600000-5 2.755640+5 9.670000-5 2.851944+5 9.740000-5 2.933064+5 9.810000-5 3.001392+5 9.920000-5 3.088152+5 1.005000-4 3.165744+5 1.020000-4 3.229840+5 1.035142-4 3.273667+5 1.053400-4 3.305845+5 1.080000-4 3.324872+5 1.170000-4 3.309592+5 1.198000-4 3.322624+5 1.220000-4 3.350296+5 1.244515-4 3.404455+5 1.260000-4 3.453360+5 1.280000-4 3.535384+5 1.300000-4 3.640184+5 1.322000-4 3.783352+5 1.340000-4 3.923008+5 1.365000-4 4.151152+5 1.390000-4 4.418864+5 1.415000-4 4.725384+5 1.450000-4 5.216400+5 1.500000-4 6.032640+5 1.621810-4 8.488789+5 1.690000-4 1.009696+6 1.757924-4 1.183054+6 1.820000-4 1.350368+6 1.880000-4 1.517144+6 1.930000-4 1.657416+6 1.990000-4 1.823928+6 2.041738-4 1.963392+6 2.100000-4 2.112976+6 2.150000-4 2.233456+6 2.213095-4 2.373475+6 2.280000-4 2.506640+6 2.350000-4 2.629232+6 2.430000-4 2.749576+6 2.511886-4 2.852611+6 2.600160-4 2.942614+6 2.691535-4 3.014213+6 2.786121-4 3.066660+6 2.884032-4 3.099429+6 2.985383-4 3.112206+6 3.100000-4 3.103344+6 3.210500-4 3.075956+6 3.350000-4 3.020808+6 3.507519-4 2.938842+6 3.672823-4 2.839066+6 3.850000-4 2.723208+6 4.050000-4 2.584912+6 4.216965-4 2.465353+6 4.430000-4 2.311936+6 4.700000-4 2.123472+6 4.954502-4 1.955594+6 5.248075-4 1.775750+6 5.559043-4 1.602287+6 5.900000-4 1.430344+6 6.309573-4 1.248120+6 6.760830-4 1.077239+6 7.244360-4 9.228083+5 7.800000-4 7.759880+5 8.413951-4 6.444000+5 9.120108-4 5.251324+5 9.850000-4 4.285560+5 1.071519-3 3.407565+5 1.174898-3 2.629652+5 1.273503-3 2.081456+5 1.396368-3 1.582690+5 1.548817-3 1.152366+5 1.737801-3 8.014953+4 1.950000-3 5.514080+4 2.162719-3 3.906379+4 2.426610-3 2.638876+4 2.660725-3 1.915244+4 2.951209-3 1.326310+4 3.273407-3 9.120969+3 3.630781-3 6.230850+3 4.027170-3 4.228155+3 4.518559-3 2.726402+3 5.069907-3 1.744547+3 5.688529-3 1.108177+3 6.382635-3 6.987648+2 7.244360-3 4.173673+2 8.222426-3 2.473434+2 9.225714-3 1.526746+2 1.047129-2 8.909985+1 1.188502-2 5.159661+1 1.348963-2 2.965779+1 1.531087-2 1.692542+1 1.757924-2 9.106476+0 2.041738-2 4.617142+0 2.398833-2 2.205225+0 2.851018-2 9.915476-1 3.467369-2 3.977350-1 4.073803-2 1.863489-1 7.498942-2 1.023506-2 9.120108-2 4.060678-3 1.083927-1 1.809018-3 1.273503-1 8.567482-4 1.445440-1 4.794222-4 1.621810-1 2.847365-4 1.798871-1 1.793116-4 1.995262-1 1.137563-4 2.213095-1 7.271676-5 2.426610-1 4.917980-5 2.660725-1 3.348275-5 2.917427-1 2.295781-5 3.198895-1 1.585980-5 3.507519-1 1.103728-5 3.801894-1 8.095495-6 4.073803-1 6.248955-6 4.365158-1 4.859597-6 4.731513-1 3.651026-6 5.248075-1 2.551421-6 5.688529-1 1.944689-6 6.095369-1 1.551030-6 6.382635-1 1.340593-6 6.839117-1 1.084787-6 7.413102-1 8.532638-7 8.035261-1 6.744217-7 8.609938-1 5.471336-7 9.015711-1 4.783452-7 9.440609-1 4.207209-7 9.772372-1 3.839949-7 1.011579+0 3.522614-7 1.047129+0 3.247813-7 1.096478+0 2.934947-7 1.148154+0 2.670519-7 1.216186+0 2.392083-7 1.303167+0 2.112599-7 1.412538+0 1.841030-7 1.513561+0 1.640385-7 1.840772+0 1.161751-7 2.018366+0 9.930477-8 2.344229+0 7.770200-8 2.691535+0 6.239480-8 3.090295+0 5.045942-8 3.589219+0 4.042299-8 4.216965+0 3.209560-8 4.954502+0 2.568111-8 5.888437+0 2.038524-8 7.000000+0 1.629500-8 8.609938+0 1.257393-8 1.047129+1 9.911446-9 1.273503+1 7.864814-9 1.603245+1 6.032786-9 2.089296+1 4.482925-9 2.851018+1 3.190469-9 4.027170+1 2.205828-9 6.025596+1 1.445382-9 9.332543+1 9.20201-10 1.840772+2 4.60520-10 3.672823+2 2.29271-10 1.462177+3 5.72912-11 1.000000+5 8.36070-13 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 9.339000-5 9.339000-5 1.000000+5 9.339000-5 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 9.339000-5 0.0 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 1.152300-4 7.483640+4 1.175000-4 7.031040+4 1.195000-4 6.720460+4 1.210000-4 6.537820+4 1.230269-4 6.339769+4 1.253000-4 6.171660+4 1.280000-4 6.030600+4 1.303167-4 5.947141+4 1.333521-4 5.877181+4 1.365000-4 5.839100+4 1.412538-4 5.827948+4 1.462177-4 5.854619+4 1.698244-4 6.089183+4 1.800000-4 6.134540+4 1.900000-4 6.130280+4 2.000000-4 6.083880+4 2.120000-4 5.988160+4 2.264644-4 5.839655+4 2.454709-4 5.621815+4 2.660725-4 5.374952+4 2.884032-4 5.100228+4 3.100000-4 4.831000+4 3.350000-4 4.523120+4 3.672823-4 4.149385+4 4.100000-4 3.713480+4 4.518559-4 3.344201+4 5.011872-4 2.967090+4 5.688529-4 2.541265+4 6.500000-4 2.143300+4 7.413102-4 1.797048+4 8.709636-4 1.436867+4 1.023293-3 1.139490+4 1.216186-3 8.826223+3 1.479108-3 6.553617+3 1.800000-3 4.822060+3 2.187762-3 3.526642+3 2.650000-3 2.572640+3 3.162278-3 1.909664+3 3.801894-3 1.389547+3 4.570882-3 1.003579+3 5.495409-3 7.196051+2 6.606934-3 5.121655+2 8.035261-3 3.540787+2 9.772372-3 2.429489+2 1.188502-2 1.653989+2 1.445440-2 1.117159+2 1.737801-2 7.666334+1 2.089296-2 5.221954+1 2.511886-2 3.529424+1 3.019952-2 2.366831+1 3.630781-2 1.574270+1 4.365158-2 1.038915+1 5.248075-2 6.803516+0 6.309573-2 4.421836+0 7.585776-2 2.852417+0 8.709636-2 2.041593+0 1.071519-1 1.225736+0 1.364583-1 6.702446-1 2.540973-1 1.391532-1 3.162278-1 8.053374-2 3.758374-1 5.265275-2 4.365158-1 3.669306-2 5.011872-1 2.647781-2 5.754399-1 1.925049-2 6.531306-1 1.448199-2 7.413102-1 1.097596-2 8.511380-1 8.178089-3 9.440609-1 6.600461-3 1.059254+0 5.242957-3 1.216186+0 4.004280-3 1.380384+0 3.150842-3 1.566751+0 2.498492-3 1.757924+0 2.037778-3 1.972423+0 1.673920-3 2.290868+0 1.308426-3 2.660725+0 1.030648-3 3.054921+0 8.328800-4 3.548134+0 6.668264-4 4.120975+0 5.378265-4 4.841724+0 4.298812-4 5.754399+0 3.408816-4 6.918310+0 2.683096-4 8.413951+0 2.098605-4 1.035142+1 1.630109-4 1.258925+1 1.293029-4 1.584893+1 9.915183-5 2.065380+1 7.365524-5 2.818383+1 5.240260-5 3.981072+1 3.622144-5 5.956621+1 2.372846-5 9.225714+1 1.510448-5 1.819701+2 7.558047-6 3.630781+2 3.762499-6 1.445440+3 9.401187-7 1.000000+5 1.356200-8 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 1.152300-4 1.152300-4 1.000000+5 1.152300-4 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.152300-4 0.0 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 7.855000-5 1.071488+6 7.910000-5 1.104946+6 7.950000-5 1.124954+6 8.020000-5 1.150654+6 8.080000-5 1.164952+6 8.150000-5 1.175476+6 8.230000-5 1.179958+6 8.345000-5 1.176140+6 8.450000-5 1.165166+6 8.570000-5 1.146120+6 8.730000-5 1.112914+6 8.912509-5 1.068148+6 9.120108-5 1.012532+6 9.332543-5 9.534923+5 9.580000-5 8.846300+5 9.885531-5 8.023901+5 1.023293-4 7.152645+5 1.060000-4 6.321340+5 1.122018-4 5.135444+5 1.303167-4 2.936939+5 1.400000-4 2.262880+5 1.500000-4 1.774134+5 1.584893-4 1.470138+5 1.678804-4 1.216609+5 1.760000-4 1.048582+5 1.840772-4 9.164132+4 1.927525-4 8.039148+4 2.000000-4 7.279800+4 2.089296-4 6.518273+4 2.162719-4 6.005169+4 2.260000-4 5.446280+4 2.350000-4 5.024280+4 2.454709-4 4.620689+4 2.580000-4 4.231220+4 2.691535-4 3.949487+4 2.818383-4 3.685489+4 2.951209-4 3.458645+4 3.126079-4 3.217497+4 3.311311-4 3.013090+4 3.548134-4 2.803758+4 3.890451-4 2.567154+4 5.754399-4 1.809582+4 6.606934-4 1.589618+4 7.500000-4 1.401274+4 8.511380-4 1.227704+4 9.549926-4 1.081566+4 1.096478-3 9.219708+3 1.244515-3 7.905378+3 1.412538-3 6.731925+3 1.603245-3 5.691800+3 1.819701-3 4.779276+3 2.065380-3 3.984246+3 2.356720-3 3.270400+3 2.660725-3 2.708232+3 3.019952-3 2.208215+3 3.427678-3 1.786913+3 3.890451-3 1.435319+3 4.415704-3 1.144508+3 5.011872-3 9.060200+2 5.688529-3 7.120786+2 6.456542-3 5.556946+2 7.328245-3 4.305943+2 8.317638-3 3.313185+2 9.440609-3 2.531604+2 1.083927-2 1.872831+2 1.244515-2 1.374469+2 1.428894-2 1.000714+2 1.621810-2 7.428640+1 1.862087-2 5.326966+1 2.137962-2 3.790619+1 2.454709-2 2.677277+1 2.818383-2 1.877620+1 3.273407-2 1.268785+1 4.073803-2 7.077304+0 4.677351-2 4.854747+0 5.495409-2 3.102548+0 6.760830-2 1.728450+0 8.413951-2 9.243019-1 1.083927-1 4.442176-1 1.757924-1 1.089363-1 2.213095-1 5.615352-2 2.630268-1 3.438593-2 3.090295-1 2.191377-2 3.548134-1 1.499565-2 4.027170-1 1.066068-2 4.570882-1 7.633145-3 5.128614-1 5.672447-3 5.754399-1 4.245341-3 6.382635-1 3.292446-3 7.079458-1 2.570273-3 7.852356-1 2.019858-3 8.709636-1 1.594731-3 9.440609-1 1.335535-3 1.011579+0 1.154229-3 1.109175+0 9.580021-4 1.216186+0 8.008965-4 1.348963+0 6.593994-4 1.566751+0 5.027239-4 1.778279+0 4.019142-4 2.000000+0 3.289700-4 2.317395+0 2.583096-4 2.691535+0 2.035929-4 3.090295+0 1.646358-4 3.589219+0 1.318933-4 4.216965+0 1.047241-4 4.954502+0 8.379371-5 5.888437+0 6.651431-5 7.000000+0 5.316500-5 8.609938+0 4.102665-5 1.047129+1 3.233863-5 1.273503+1 2.566073-5 1.603245+1 1.968360-5 2.089296+1 1.462679-5 2.884032+1 1.028103-5 4.120975+1 7.023919-6 6.165950+1 4.604243-6 9.549926+1 2.932504-6 1.862087+2 1.485147-6 3.715352+2 7.394226-7 1.479108+3 1.847846-7 1.000000+5 2.727900-9 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 7.855000-5 7.855000-5 1.000000+5 7.855000-5 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 7.855000-5 0.0 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 6.137000-5 2.731152+6 6.185000-5 2.746664+6 6.237348-5 2.749007+6 6.309573-5 2.733832+6 6.400000-5 2.692612+6 6.500000-5 2.628984+6 6.606934-5 2.547417+6 6.760830-5 2.417849+6 6.950000-5 2.251604+6 7.161434-5 2.068234+6 7.413102-5 1.862341+6 7.762471-5 1.606087+6 8.222426-5 1.323623+6 9.300000-5 8.686640+5 9.800000-5 7.302680+5 1.023293-4 6.361921+5 1.071519-4 5.528191+5 1.122018-4 4.838829+5 1.175400-4 4.263029+5 1.230269-4 3.793727+5 1.288250-4 3.399029+5 1.348963-4 3.069601+5 1.412538-4 2.793954+5 1.480000-4 2.559968+5 1.548817-4 2.368309+5 1.621810-4 2.204273+5 1.698244-4 2.065022+5 1.800000-4 1.916792+5 1.905461-4 1.794254+5 2.065380-4 1.647410+5 2.317395-4 1.471762+5 3.162278-4 1.097516+5 3.630781-4 9.569230+4 4.120975-4 8.382946+4 4.677351-4 7.290319+4 5.308844-4 6.291598+4 6.025596-4 5.394014+4 6.760830-4 4.661616+4 7.762471-4 3.883388+4 8.810489-4 3.264530+4 1.023293-3 2.637751+4 1.174898-3 2.151819+4 1.364583-3 1.712608+4 1.566751-3 1.377175+4 1.798871-3 1.100030+4 2.041738-3 8.896004+3 2.344229-3 7.005570+3 2.691535-3 5.474861+3 3.090295-3 4.245166+3 3.507519-3 3.338524+3 4.000000-3 2.583460+3 4.570882-3 1.976258+3 5.248075-3 1.485633+3 6.000000-3 1.118032+3 6.839116-3 8.404455+2 7.762471-3 6.333241+2 8.810489-3 4.739683+2 1.000000-2 3.522512+2 1.148154-2 2.528769+2 1.303167-2 1.853097+2 1.479108-2 1.348766+2 1.678804-2 9.748762+1 1.927525-2 6.789133+1 2.213095-2 4.690662+1 2.540973-2 3.215272+1 2.917427-2 2.187682+1 3.388442-2 1.430199+1 3.935501-2 9.277076+0 4.570882-2 5.971910+0 5.370318-2 3.687842+0 6.309573-2 2.260838+0 7.673615-2 1.237291+0 9.660509-2 6.036053-1 1.737801-1 9.500456-2 2.162719-1 4.805160-2 2.540973-1 2.928170-2 2.917427-1 1.928355-2 3.311311-1 1.323894-2 3.715352-1 9.466953-3 4.168694-1 6.817749-3 4.623810-1 5.107667-3 5.128614-1 3.852368-3 5.688529-1 2.926501-3 6.237348-1 2.306700-3 6.918310-1 1.778034-3 7.673615-1 1.381147-3 8.709636-1 1.021081-3 9.332543-1 8.717414-4 9.885531-1 7.686121-4 1.071519+0 6.503286-4 1.161449+0 5.539352-4 1.273503+0 4.644982-4 1.412538+0 3.841337-4 1.717908+0 2.709089-4 1.927525+0 2.220898-4 2.213095+0 1.766500-4 2.570396+0 1.388977-4 2.951209+0 1.120315-4 3.388442+0 9.105597-5 3.935501+0 7.327973-5 4.623810+0 5.844490-5 5.432503+0 4.696103-5 6.531306+0 3.687021-5 7.762471+0 2.960813-5 9.549926+0 2.292951-5 1.202264+1 1.741249-5 1.531087+1 1.316255-5 1.949845+1 1.002135-5 2.600160+1 7.299412-6 3.548134+1 5.223819-6 5.308844+1 3.414613-6 8.317638+1 2.143762-6 1.659587+2 1.058987-6 3.311311+2 5.268606-7 1.318257+3 1.315689-7 1.000000+5 1.730900-9 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 6.137000-5 6.137000-5 1.000000+5 6.137000-5 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 6.137000-5 0.0 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.216000-5 4.738360+6 1.250000-5 4.780320+6 1.290000-5 4.864880+6 1.340000-5 5.014600+6 1.390000-5 5.206040+6 1.445440-5 5.454834+6 1.513561-5 5.806870+6 1.603245-5 6.329572+6 1.737801-5 7.206205+6 2.213095-5 1.082105+7 2.398833-5 1.231042+7 2.540973-5 1.341533+7 2.660725-5 1.429050+7 2.786121-5 1.512058+7 2.900000-5 1.577832+7 3.000000-5 1.626420+7 3.090295-5 1.661663+7 3.198895-5 1.691908+7 3.300000-5 1.707488+7 3.400000-5 1.710996+7 3.507519-5 1.702169+7 3.610000-5 1.682472+7 3.715352-5 1.651600+7 3.830000-5 1.607676+7 3.950000-5 1.552212+7 4.073803-5 1.487287+7 4.180000-5 1.427320+7 4.315191-5 1.347786+7 4.466836-5 1.257283+7 4.623810-5 1.164909+7 4.800000-5 1.065212+7 5.011872-5 9.532316+6 5.248075-5 8.403732+6 5.500000-5 7.343840+6 5.821032-5 6.191895+6 6.165950-5 5.168049+6 6.531306-5 4.284059+6 6.918310-5 3.527222+6 7.328245-5 2.882627+6 7.762471-5 2.338054+6 8.150000-5 1.946332+6 8.609938-5 1.571515+6 9.120108-5 1.245713+6 9.660509-5 9.796105+5 1.023293-4 7.643375+5 1.083927-4 5.922648+5 1.150000-4 4.526280+5 1.230269-4 3.307269+5 1.333521-4 2.256351+5 1.513561-4 1.231527+5 1.584893-4 9.932387+4 1.650000-4 8.283800+4 1.705000-4 7.191880+4 1.757924-4 6.348757+4 1.800000-4 5.798320+4 1.850000-4 5.258640+4 1.890000-4 4.902120+4 1.930000-4 4.602240+4 1.972423-4 4.337305+4 2.018366-4 4.102919+4 2.065380-4 3.910715+4 2.113489-4 3.755546+4 2.162719-4 3.632827+4 2.213095-4 3.538545+4 2.264644-4 3.469188+4 2.317395-4 3.421481+4 2.380000-4 3.389080+4 2.454709-4 3.376752+4 2.540973-4 3.388963+4 2.650000-4 3.431012+4 2.818383-4 3.525244+4 3.162278-4 3.728293+4 3.388442-4 3.828222+4 3.589219-4 3.888026+4 3.801894-4 3.921939+4 4.027170-4 3.930655+4 4.265795-4 3.912242+4 4.518559-4 3.868602+4 4.786301-4 3.801436+4 5.069907-4 3.712755+4 5.370318-4 3.604856+4 5.754399-4 3.454114+4 6.165950-4 3.284846+4 6.606934-4 3.101758+4 7.079458-4 2.909033+4 7.623500-4 2.696423+4 8.222426-4 2.477905+4 8.912509-4 2.248091+4 9.660509-4 2.024568+4 1.047129-3 1.810944+4 1.135011-3 1.609651+4 1.230269-3 1.421793+4 1.348963-3 1.224585+4 1.479108-3 1.046552+4 1.621810-3 8.877670+3 1.778279-3 7.475036+3 1.949845-3 6.248182+3 2.137962-3 5.185194+3 2.344229-3 4.272890+3 2.570396-3 3.497038+3 2.818383-3 2.842967+3 3.126079-3 2.234720+3 3.467369-3 1.742567+3 3.845918-3 1.348173+3 4.265795-3 1.035089+3 4.731513-3 7.888235+2 5.188000-3 6.156770+2 5.888437-3 4.342732+2 6.531306-3 3.240060+2 7.244360-3 2.400192+2 8.128305-3 1.706547+2 9.120108-3 1.204195+2 1.023293-2 8.432602+1 1.148154-2 5.860659+1 1.288250-2 4.044314+1 1.462177-2 2.668431+1 1.659587-2 1.747332+1 1.883649-2 1.135663+1 2.137962-2 7.326921+0 2.454709-2 4.506595+0 2.818383-2 2.751445+0 3.273407-2 1.599979+0 3.845918-2 8.854870-1 4.623810-2 4.466400-1 5.559043-2 2.236014-1 7.328245-2 7.846853-2 1.161449-1 1.363405-2 1.445440-1 5.975818-3 1.737801-1 3.003749-3 2.018366-1 1.730202-3 2.317395-1 1.048420-3 2.630268-1 6.671824-4 2.985383-1 4.277835-4 3.349654-1 2.875247-4 3.758374-1 1.947076-4 4.168694-1 1.380628-4 4.623810-1 9.860418-5 5.128614-1 7.095905-5 5.623413-1 5.332535-5 6.095369-1 4.178498-5 6.683439-1 3.188350-5 7.328245-1 2.451204-5 8.035261-1 1.896764-5 8.609938-1 1.561473-5 9.120108-1 1.336293-5 9.549926-1 1.186412-5 1.000000+0 1.059800-5 1.047129+0 9.534181-6 1.096478+0 8.636108-6 1.161449+0 7.693282-6 1.230269+0 6.902025-6 1.333521+0 5.968420-6 1.479108+0 4.992396-6 1.840772+0 3.396631-6 2.018366+0 2.904780-6 2.344229+0 2.273500-6 2.722701+0 1.792940-6 3.090295+0 1.476058-6 3.589219+0 1.182449-6 4.168694+0 9.542038-7 4.897788+0 7.631073-7 5.821032+0 6.054370-7 6.918310+0 4.838343-7 8.413951+0 3.784386-7 1.035142+1 2.939534-7 1.258925+1 2.331591-7 1.584893+1 1.788003-7 2.065380+1 1.328150-7 2.818383+1 9.449626-8 3.981072+1 6.531716-8 5.956621+1 4.278879-8 9.225714+1 2.723684-8 1.819701+2 1.362960-8 3.630781+2 6.784717-9 1.445440+3 1.695290-9 1.000000+5 2.44570-11 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.216000-5 1.216000-5 1.000000+5 1.216000-5 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.216000-5 0.0 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 1.046000-5 8.140620+6 1.083927-5 8.348638+6 1.135011-5 8.700262+6 1.188502-5 9.131115+6 1.260000-5 9.777960+6 1.380384-5 1.098547+7 1.883649-5 1.665997+7 2.089296-5 1.903532+7 2.264644-5 2.098444+7 2.400000-5 2.238474+7 2.540973-5 2.368562+7 2.660725-5 2.462488+7 2.770000-5 2.532240+7 2.884032-5 2.586172+7 2.985383-5 2.616088+7 3.090295-5 2.628386+7 3.198895-5 2.621503+7 3.300000-5 2.597244+7 3.400000-5 2.557626+7 3.507519-5 2.499743+7 3.610000-5 2.432040+7 3.730000-5 2.340156+7 3.850000-5 2.237934+7 3.981072-5 2.118468+7 4.120975-5 1.986526+7 4.265795-5 1.849606+7 4.415704-5 1.711147+7 4.570882-5 1.573917+7 4.731513-5 1.440131+7 4.954502-5 1.270233+7 5.188000-5 1.112881+7 5.495409-5 9.358970+6 5.821032-5 7.808174+6 6.165950-5 6.468536+6 6.531306-5 5.323408+6 6.918310-5 4.349125+6 7.328245-5 3.526973+6 7.673615-5 2.966392+6 8.035261-5 2.481216+6 8.511380-5 1.969777+6 9.000000-5 1.562514+6 9.500000-5 1.238748+6 1.000000-4 9.878100+5 1.060000-4 7.584300+5 1.135011-4 5.515085+5 1.220000-4 3.909546+5 1.412538-4 1.927662+5 1.480000-4 1.547346+5 1.540000-4 1.291470+5 1.584893-4 1.139174+5 1.635000-4 1.001226+5 1.678804-4 9.035223+4 1.720000-4 8.276940+4 1.760000-4 7.665120+4 1.800000-4 7.157340+4 1.840772-4 6.731249+4 1.883649-4 6.367728+4 1.927525-4 6.070815+4 1.972423-4 5.831704+4 2.020000-4 5.637354+4 2.065380-4 5.499391+4 2.113489-4 5.395092+4 2.170000-4 5.316426+4 2.220000-4 5.277576+4 2.290868-4 5.261178+4 2.371374-4 5.284096+4 2.483133-4 5.360594+4 2.660725-4 5.535888+4 2.951209-4 5.829016+4 3.162278-4 5.992269+4 3.349654-4 6.088209+4 3.548134-4 6.143177+4 3.758374-4 6.156675+4 4.000000-4 6.124980+4 4.265795-4 6.040456+4 4.518559-4 5.926401+4 4.786301-4 5.779879+4 5.128614-4 5.567288+4 5.495409-4 5.321482+4 5.888437-4 5.048906+4 6.309573-4 4.756621+4 6.760830-4 4.451304+4 7.244360-4 4.139146+4 7.852356-4 3.773883+4 8.511380-4 3.415085+4 9.225714-4 3.068487+4 1.000000-3 2.738454+4 1.083927-3 2.428818+4 1.188502-3 2.101743+4 1.303167-3 1.804514+4 1.428894-3 1.537494+4 1.566751-3 1.300286+4 1.717908-3 1.091688+4 1.883649-3 9.099524+3 2.065380-3 7.531054+3 2.264644-3 6.189639+3 2.483133-3 5.052396+3 2.731000-3 4.067666+3 3.019952-3 3.209903+3 3.349654-3 2.494536+3 3.715352-3 1.924610+3 4.027170-3 1.563677+3 4.415704-3 1.223178+3 4.897788-3 9.210671+2 5.559043-3 6.471030+2 6.165950-3 4.815257+2 6.839116-3 3.557492+2 7.585776-3 2.610733+2 8.511380-3 1.837113+2 9.549926-3 1.282610+2 1.071519-2 8.884933+1 1.202264-2 6.108282+1 1.348963-2 4.169241+1 1.531087-2 2.717738+1 1.737801-2 1.757685+1 1.972423-2 1.128032+1 2.238721-2 7.183144+0 2.570396-2 4.355183+0 2.951209-2 2.620497+0 3.427678-2 1.499399+0 4.027170-2 8.153279-1 4.786301-2 4.211986-1 5.754399-2 2.065507-1 1.148154-1 1.391116-2 1.396368-1 6.516984-3 1.659587-1 3.362309-3 1.905461-1 1.994765-3 2.137962-1 1.300154-3 2.398833-1 8.537079-4 2.660725-1 5.885685-4 2.951209-1 4.085676-4 3.273407-1 2.856541-4 3.589219-1 2.092180-4 3.935501-1 1.542859-4 4.315191-1 1.146302-4 4.731513-1 8.581698-5 5.188000-1 6.474821-5 5.623413-1 5.093941-5 6.095369-1 4.034345-5 6.606935-1 3.218801-5 7.161434-1 2.585228-5 7.762471-1 2.089628-5 8.609938-1 1.595007-5 9.120108-1 1.380555-5 9.660509-1 1.203271-5 1.011579+0 1.084506-5 1.071519+0 9.589413-6 1.148154+0 8.337628-6 1.230269+0 7.300675-6 1.333521+0 6.295747-6 1.819701+0 3.636071-6 2.018366+0 3.048927-6 2.344229+0 2.386036-6 2.722701+0 1.881780-6 3.126079+0 1.522669-6 3.630781+0 1.220506-6 4.265795+0 9.696367-7 5.011872+0 7.762872-7 5.956621+0 6.165205-7 7.079458+0 4.931701-7 8.709636+0 3.806424-7 1.059254+1 3.001516-7 1.273503+1 2.414783-7 1.603245+1 1.852327-7 2.065380+1 1.394137-7 2.818383+1 9.918625-8 3.981072+1 6.855842-8 5.956621+1 4.491277-8 9.225714+1 2.858885-8 1.840772+2 1.413953-8 3.672823+2 7.039441-9 1.462177+3 1.759070-9 1.000000+5 2.56710-11 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 1.046000-5 1.046000-5 1.000000+5 1.046000-5 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 1.046000-5 0.0 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 8.300000-6 4.029050+6 8.609938-6 3.505512+6 9.549926-6 2.330811+6 1.083927-5 1.405681+6 1.230269-5 8.414611+5 1.396368-5 5.000344+5 1.603245-5 2.812848+5 2.041738-5 1.020658+5 2.213095-5 7.322546+4 2.350000-5 5.752820+4 2.483133-5 4.640627+4 2.610000-5 3.850350+4 2.730000-5 3.278860+4 2.830000-5 2.901730+4 2.917427-5 2.630217+4 3.019952-5 2.367440+4 3.126079-5 2.146350+4 3.235937-5 1.960923+4 3.330000-5 1.830440+4 3.427678-5 1.717425+4 3.548134-5 1.603693+4 3.650000-5 1.525430+4 3.770000-5 1.450100+4 3.900000-5 1.384930+4 4.027170-5 1.334192+4 4.168694-5 1.289516+4 4.350000-5 1.246060+4 4.518559-5 1.216023+4 4.731513-5 1.188325+4 5.011872-5 1.163545+4 5.432503-5 1.140208+4 6.606934-5 1.096998+4 7.244360-5 1.070535+4 7.852356-5 1.040687+4 8.413951-5 1.009313+4 9.120108-5 9.664419+3 9.800000-5 9.234180+3 1.059254-4 8.726973+3 1.150000-4 8.156540+3 1.260000-4 7.508350+3 1.380384-4 6.863218+3 1.548817-4 6.078836+3 1.757924-4 5.279521+3 2.113489-4 4.262412+3 2.818383-4 3.040876+3 3.349654-4 2.478648+3 3.801894-4 2.120198+3 4.120975-4 1.910119+3 4.677351-4 1.607456+3 5.495409-4 1.279946+3 7.852356-4 7.659382+2 9.015711-4 6.231166+2 1.230269-3 3.859127+2 1.531087-3 2.736541+2 1.905461-3 1.923478+2 2.371374-3 1.341655+2 2.884032-3 9.650590+1 3.507519-3 6.888429+1 4.000000-3 5.473439+1 4.365158-3 4.717508+1 4.841724-3 3.923858+1 5.432503-3 3.172586+1 7.498942-3 1.731830+1 9.120108-3 1.191073+1 1.109175-2 8.130488+0 1.348963-2 5.507723+0 1.640590-2 3.701520+0 1.972423-2 2.527418+0 2.371374-2 1.712526+0 2.851018-2 1.151328+0 3.388442-2 7.876858-1 4.027170-2 5.350710-1 4.786301-2 3.608699-1 5.688529-2 2.415516-1 6.839116-2 1.562080-1 8.222426-2 1.002728-1 1.011580-1 6.031725-2 1.288250-1 3.305018-2 1.603245-1 1.905856-2 2.511886-1 6.116452-3 3.126079-1 3.538995-3 3.715352-1 2.313058-3 4.315191-1 1.611334-3 4.954502-1 1.162341-3 5.688529-1 8.448152-4 6.456542-1 6.353704-4 7.328245-1 4.815034-4 8.317638-1 3.676839-4 9.332543-1 2.897636-4 1.047129+0 2.301316-4 1.216186+0 1.717819-4 1.364583+0 1.380986-4 1.548817+0 1.094339-4 1.737801+0 8.919328-5 1.949845+0 7.321486-5 2.264644+0 5.719306-5 2.630268+0 4.502342-5 3.019952+0 3.635949-5 3.507519+0 2.909290-5 4.073803+0 2.345229-5 4.786301+0 1.873558-5 5.688529+0 1.484805-5 6.760830+0 1.185543-5 8.128305+0 9.397350-6 1.000000+1 7.289700-6 1.244515+1 5.621912-6 1.566751+1 4.309835-6 2.018366+1 3.241766-6 2.722701+1 2.333873-6 3.801894+1 1.631619-6 5.688529+1 1.067957-6 8.912509+1 6.713175-7 1.778279+2 3.319032-7 3.548134+2 1.652005-7 1.412538+3 4.127139-8 1.000000+5 5.81830-10 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 8.300000-6 8.300000-6 1.000000+5 8.300000-6 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 8.300000-6 0.0 1.000000+5 1.000000+5 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 5.462150-7 1.026100+0 1.235040-6 1.026600+0 1.741120-6 1.027100+0 2.368830-6 1.027500+0 2.966940-6 1.028100+0 4.039430-6 1.028750+0 5.462150-6 1.029500+0 7.475100-6 1.030100+0 9.400840-6 1.031000+0 1.286360-5 1.032000+0 1.760060-5 1.033200+0 2.465540-5 1.034000+0 3.026680-5 1.035300+0 4.108290-5 1.036640+0 5.462150-5 1.038200+0 7.371350-5 1.039700+0 9.576860-5 1.041500+0 1.274190-4 1.043800+0 1.768620-4 1.046400+0 2.460700-4 1.048300+0 3.063640-4 1.051200+0 4.155760-4 1.054080+0 5.462150-4 1.057700+0 7.445270-4 1.061100+0 9.684440-4 1.065100+0 1.282120-3 1.070400+0 1.788690-3 1.076200+0 2.471970-3 1.080600+0 3.087080-3 1.087100+0 4.159310-3 1.093710+0 5.462150-3 1.102600+0 7.573030-3 1.110700+0 9.876450-3 1.120600+0 1.321120-2 1.133300+0 1.836850-2 1.147500+0 2.536070-2 1.158200+0 3.151690-2 1.174100+0 4.212500-2 1.190110+0 5.462150-2 1.205100+0 6.800180-2 1.227500+0 9.102490-2 1.250000+0 1.176000-1 1.265600+0 1.378630-1 1.294900+0 1.795750-1 1.331800+0 2.379430-1 1.362600+0 2.908090-1 1.397000+0 3.533780-1 1.433800+0 4.236480-1 1.477900+0 5.116150-1 1.500000+0 5.571000-1 1.562500+0 6.902370-1 1.617200+0 8.112690-1 1.712900+0 1.029440+0 1.784700+0 1.196330+0 1.892300+0 1.447770+0 2.000000+0 1.698000+0 2.044000+0 1.799000+0 2.163500+0 2.069110+0 2.372600+0 2.525640+0 2.686300+0 3.170460+0 3.000000+0 3.772000+0 3.500000+0 4.656170+0 4.000000+0 5.462000+0 5.000000+0 6.876000+0 6.000000+0 8.094000+0 7.000000+0 9.167000+0 8.000000+0 1.013000+1 9.000000+0 1.101000+1 1.000000+1 1.182000+1 1.100000+1 1.256000+1 1.200000+1 1.326000+1 1.300000+1 1.391000+1 1.400000+1 1.452000+1 1.500000+1 1.508000+1 1.600000+1 1.561000+1 1.800000+1 1.657000+1 2.000000+1 1.742000+1 2.200000+1 1.819000+1 2.400000+1 1.889000+1 2.600000+1 1.954000+1 2.800000+1 2.012000+1 3.000000+1 2.067000+1 4.000000+1 2.289000+1 5.000000+1 2.453000+1 6.000000+1 2.581000+1 8.000000+1 2.768000+1 1.000000+2 2.901000+1 1.500000+2 3.109000+1 2.000000+2 3.233000+1 3.000000+2 3.377000+1 4.000000+2 3.459000+1 5.000000+2 3.512000+1 6.000000+2 3.551000+1 8.000000+2 3.602000+1 1.000000+3 3.635000+1 1.500000+3 3.682000+1 2.000000+3 3.708000+1 3.000000+3 3.736000+1 4.000000+3 3.751000+1 5.000000+3 3.761000+1 6.000000+3 3.768000+1 8.000000+3 3.776000+1 1.000000+4 3.782000+1 1.500000+4 3.789000+1 2.000000+4 3.793000+1 3.000000+4 3.797000+1 4.000000+4 3.800000+1 5.000000+4 3.801000+1 6.000000+4 3.802000+1 8.000000+4 3.803000+1 1.000000+5 3.804000+1 1 79000 7 8 1.969670+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 7.909410-7 2.090400+0 1.073900-6 2.094700+0 1.392480-6 2.099900+0 1.852490-6 2.106600+0 2.576970-6 2.114000+0 3.565570-6 2.119500+0 4.439110-6 2.127900+0 6.020270-6 2.136250+0 7.909410-6 2.147000+0 1.084440-5 2.156900+0 1.408550-5 2.169000+0 1.879800-5 2.184500+0 2.612990-5 2.201800+0 3.615140-5 2.214800+0 4.504180-5 2.234200+0 6.058930-5 2.253680+0 7.909410-5 2.281500+0 1.107850-4 2.307000+0 1.455160-4 2.338200+0 1.956580-4 2.377400+0 2.709630-4 2.410200+0 3.446190-4 2.446800+0 4.383750-4 2.485900+0 5.519380-4 2.532900+0 7.063640-4 2.556430+0 7.909410-4 2.611900+0 1.008550-3 2.660400+0 1.219290-3 2.745300+0 1.631970-3 2.809000+0 1.976420-3 2.904500+0 2.546120-3 3.000000+0 3.178000-3 3.125000+0 4.097550-3 3.234400+0 4.985230-3 3.425800+0 6.711630-3 3.569300+0 8.136860-3 3.784700+0 1.045680-2 4.000000+0 1.295000-2 4.250000+0 1.599760-2 4.625000+0 2.078560-2 5.000000+0 2.576000-2 5.500000+0 3.258100-2 6.000000+0 3.949000-2 6.750000+0 4.977110-2 7.000000+0 5.315000-2 8.000000+0 6.634000-2 9.000000+0 7.894000-2 1.000000+1 9.089000-2 1.100000+1 1.022000-1 1.200000+1 1.128000-1 1.300000+1 1.228000-1 1.400000+1 1.323000-1 1.500000+1 1.412000-1 1.600000+1 1.497000-1 1.800000+1 1.655000-1 2.000000+1 1.797000-1 2.200000+1 1.927000-1 2.400000+1 2.046000-1 2.600000+1 2.156000-1 2.800000+1 2.258000-1 3.000000+1 2.352000-1 4.000000+1 2.739000-1 5.000000+1 3.030000-1 6.000000+1 3.259000-1 8.000000+1 3.601000-1 1.000000+2 3.847000-1 1.500000+2 4.248000-1 2.000000+2 4.497000-1 3.000000+2 4.796000-1 4.000000+2 4.974000-1 5.000000+2 5.094000-1 6.000000+2 5.181000-1 8.000000+2 5.301000-1 1.000000+3 5.380000-1 1.500000+3 5.497000-1 2.000000+3 5.563000-1 3.000000+3 5.634000-1 4.000000+3 5.676000-1 5.000000+3 5.701000-1 6.000000+3 5.719000-1 8.000000+3 5.743000-1 1.000000+4 5.758000-1 1.500000+4 5.778000-1 2.000000+4 5.790000-1 3.000000+4 5.801000-1 4.000000+4 5.808000-1 5.000000+4 5.812000-1 6.000000+4 5.815000-1 8.000000+4 5.818000-1 1.000000+5 5.820000-1 1 79000 7 8 1.969670+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 79000 7 9 1.969670+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 7.900000+1 1.000000+5 7.900000+1 5.000000+5 7.897600+1 8.750000+5 7.894770+1 1.000000+6 7.894100+1 1.500000+6 7.889400+1 2.000000+6 7.881200+1 2.500000+6 7.870800+1 3.000000+6 7.858100+1 3.500000+6 7.843230+1 4.000000+6 7.826600+1 4.500000+6 7.808390+1 5.000000+6 7.788200+1 5.500000+6 7.765880+1 6.250000+6 7.728360+1 7.000000+6 7.688400+1 7.875000+6 7.637340+1 8.625000+6 7.591300+1 9.000000+6 7.567700+1 1.000000+7 7.501600+1 1.125000+7 7.413150+1 1.187500+7 7.367370+1 1.250000+7 7.320500+1 1.375000+7 7.223160+1 1.500000+7 7.124700+1 1.687500+7 6.973970+1 1.750000+7 6.923200+1 2.000000+7 6.716400+1 2.250000+7 6.508970+1 2.500000+7 6.304400+1 2.875000+7 6.006380+1 3.000000+7 5.910800+1 3.437500+7 5.588860+1 3.750000+7 5.374690+1 4.000000+7 5.213800+1 4.500000+7 4.915910+1 4.750000+7 4.778410+1 5.000000+7 4.648000+1 5.500000+7 4.404110+1 5.750000+7 4.289650+1 6.000000+7 4.180100+1 6.500000+7 3.972170+1 6.750000+7 3.873130+1 7.000000+7 3.777500+1 7.750000+7 3.505380+1 8.000000+7 3.419600+1 8.750000+7 3.173840+1 9.000000+7 3.096100+1 9.750000+7 2.873590+1 1.000000+8 2.803300+1 1.109400+8 2.518280+1 1.250000+8 2.212900+1 1.375000+8 1.996300+1 1.500000+8 1.826000+1 1.625000+8 1.694260+1 1.750000+8 1.587150+1 2.000000+8 1.412500+1 2.250000+8 1.266280+1 2.500000+8 1.146900+1 2.671900+8 1.076730+1 2.789100+8 1.028450+1 2.875000+8 9.907760+0 2.894500+8 9.819000+0 2.973600+8 9.445600+0 3.000000+8 9.315800+0 3.062500+8 8.999940+0 3.335900+8 7.713230+0 3.445300+8 7.322270+0 3.500000+8 7.162300+0 3.562500+8 7.009690+0 4.000000+8 6.273800+0 4.125000+8 6.039640+0 4.234400+8 5.819780+0 4.425800+8 5.429600+0 4.784700+8 4.789380+0 4.928200+8 4.585710+0 5.000000+8 4.496800+0 5.125000+8 4.363030+0 6.000000+8 3.711000+0 7.000000+8 3.023600+0 7.625000+8 2.737110+0 7.875000+8 2.622300+0 8.000000+8 2.560700+0 8.125000+8 2.495610+0 1.000000+9 1.635000+0 1.031300+9 1.555540+0 1.060500+9 1.496290+0 1.100900+9 1.432200+0 1.137900+9 1.387010+0 1.183200+9 1.344320+0 1.375000+9 1.232960+0 1.500000+9 1.172800+0 1.562500+9 1.136260+0 1.641100+9 1.086360+0 1.706900+9 1.042860+0 1.811600+9 9.731720-1 1.905800+9 9.121550-1 2.000000+9 8.541500-1 2.139200+9 7.750430-1 2.272600+9 7.065190-1 2.443000+9 6.284880-1 2.602800+9 5.641660-1 2.750000+9 5.115460-1 2.825100+9 4.869230-1 3.024800+9 4.279960-1 3.208000+9 3.812890-1 3.432000+9 3.322550-1 3.719500+9 2.800670-1 4.039600+9 2.332740-1 4.279700+9 2.043640-1 4.639800+9 1.688390-1 5.000000+9 1.406500-1 5.375000+9 1.172490-1 5.703100+9 1.006640-1 6.277300+9 7.819230-2 7.031000+9 5.759160-2 8.000000+9 4.038200-2 1.00000+10 2.168700-2 1.54060+10 6.494390-3 2.73280+10 1.319600-3 4.54960+10 3.221500-4 7.27480+10 8.858240-5 1.00000+11 3.709400-5 1.34280+11 1.662370-5 2.20600+11 4.334750-6 4.19930+11 7.686390-7 1.03480+12 6.959210-8 3.24440+12 3.413130-9 1.00000+14 4.38410-13 3.16230+15 5.03292-17 1.00000+17 5.48510-21 1 79000 7 0 1.969670+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 6.20000-12 1.000000+2 6.20000-10 1.000000+3 6.200000-8 1.000000+4 6.200000-6 1.000000+5 6.200000-4 5.000000+5 1.550000-2 8.750000+5 4.746875-2 1.000000+6 6.200000-2 1.500000+6 1.380000-1 2.000000+6 2.428000-1 2.500000+6 3.746000-1 3.000000+6 5.312000-1 3.500000+6 7.102830-1 4.000000+6 9.093000-1 4.500000+6 1.125670+0 5.000000+6 1.357000+0 5.500000+6 1.600880+0 6.250000+6 1.985820+0 7.000000+6 2.387600+0 7.875000+6 2.869730+0 8.625000+6 3.290140+0 9.000000+6 3.501900+0 1.000000+7 4.068000+0 1.125000+7 4.776520+0 1.187500+7 5.130100+0 1.250000+7 5.482700+0 1.375000+7 6.182400+0 1.500000+7 6.875000+0 1.687500+7 7.899130+0 1.750000+7 8.236400+0 2.000000+7 9.560000+0 2.250000+7 1.084640+1 2.500000+7 1.210200+1 2.875000+7 1.394330+1 3.000000+7 1.455100+1 3.437500+7 1.665880+1 3.750000+7 1.814460+1 4.000000+7 1.932100+1 4.500000+7 2.162380+1 4.750000+7 2.274010+1 5.000000+7 2.382800+1 5.500000+7 2.589670+1 5.750000+7 2.687370+1 6.000000+7 2.781500+1 6.500000+7 2.957560+1 6.750000+7 3.040210+1 7.000000+7 3.119700+1 7.750000+7 3.339100+1 8.000000+7 3.407200+1 8.750000+7 3.598880+1 9.000000+7 3.659700+1 9.750000+7 3.833580+1 1.000000+8 3.889600+1 1.109400+8 4.122690+1 1.250000+8 4.401100+1 1.375000+8 4.630560+1 1.500000+8 4.845600+1 1.625000+8 5.045470+1 1.750000+8 5.231510+1 2.000000+8 5.560500+1 2.250000+8 5.835940+1 2.500000+8 6.065100+1 2.671900+8 6.199560+1 2.789100+8 6.281640+1 2.875000+8 6.338430+1 2.894500+8 6.350570+1 2.973600+8 6.398960+1 3.000000+8 6.414900+1 3.062500+8 6.450420+1 3.335900+8 6.592440+1 3.445300+8 6.643490+1 3.500000+8 6.667800+1 3.562500+8 6.694400+1 4.000000+8 6.861000+1 4.125000+8 6.902180+1 4.234400+8 6.937400+1 4.425800+8 6.994740+1 4.784700+8 7.091280+1 4.928200+8 7.126630+1 5.000000+8 7.144000+1 5.125000+8 7.172460+1 6.000000+8 7.343600+1 7.000000+8 7.484500+1 7.625000+8 7.548860+1 7.875000+8 7.571060+1 8.000000+8 7.581300+1 8.125000+8 7.590500+1 1.000000+9 7.694200+1 1.031300+9 7.705950+1 1.060500+9 7.716620+1 1.100900+9 7.729120+1 1.137900+9 7.740110+1 1.183200+9 7.752570+1 1.375000+9 7.792190+1 1.500000+9 7.812300+1 1.562500+9 7.820230+1 1.641100+9 7.829760+1 1.706900+9 7.837410+1 1.811600+9 7.847630+1 1.905800+9 7.855500+1 2.000000+9 7.863000+1 2.139200+9 7.871140+1 2.272600+9 7.877190+1 2.443000+9 7.883520+1 2.602800+9 7.888300+1 2.750000+9 7.891400+1 2.825100+9 7.892920+1 3.024800+9 7.895180+1 3.208000+9 7.896960+1 3.432000+9 7.898640+1 3.719500+9 7.899000+1 4.039600+9 7.899360+1 4.279700+9 7.899610+1 4.639800+9 7.899900+1 5.000000+9 7.899700+1 5.375000+9 7.899750+1 5.703100+9 7.899780+1 6.277300+9 7.899850+1 7.031000+9 7.899920+1 8.000000+9 7.900000+1 1.00000+10 7.900000+1 1.54060+10 7.900000+1 2.73280+10 7.900000+1 4.54960+10 7.900000+1 7.27480+10 7.900000+1 1.00000+11 7.900000+1 1.34280+11 7.900000+1 2.20600+11 7.900000+1 4.19930+11 7.900000+1 1.03480+12 7.900000+1 3.24440+12 7.900000+1 1.00000+14 7.900000+1 3.16230+15 7.900000+1 1.00000+17 7.900000+1 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.058561-6 0.0 2.063628-6 2.276436-8 2.068695-6 4.504438-8 2.073762-6 8.227725-8 2.078829-6 1.387307-7 2.083896-6 2.159333-7 2.088962-6 3.102560-7 2.094029-6 4.115047-7 2.099096-6 5.038292-7 2.104163-6 5.694370-7 2.109230-6 5.941034-7 2.114297-6 5.721795-7 2.119364-6 5.086938-7 2.124431-6 4.174790-7 2.134564-6 2.211836-7 2.139631-6 1.427884-7 2.144698-6 8.509168-8 2.149765-6 4.680963-8 2.154832-6 2.377045-8 2.159899-6 0.0 3.747549-6 0.0 3.756773-6 7.191464-8 3.765997-6 1.422992-7 3.775221-6 2.599212-7 3.784445-6 4.382629-7 3.793669-6 6.821525-7 3.802894-6 9.801266-7 3.812118-6 1.299980-6 3.821342-6 1.591641-6 3.830566-6 1.798903-6 3.839790-6 1.876826-6 3.849014-6 1.807566-6 3.858238-6 1.607009-6 3.867462-6 1.318854-6 3.885911-6 6.987387-7 3.895135-6 4.510814-7 3.904359-6 2.688122-7 3.913583-6 1.478758-7 3.922807-6 7.509297-8 3.932031-6 0.0 4.492151-6 0.0 4.508737-6 1.416617+0 4.514265-6 1.882833+0 4.525322-6 3.439148+0 4.536379-6 5.798876+0 4.548818-6 9.517693+0 4.567995-6 1.660432+1 4.581297-6 2.123083+1 4.592678-6 2.389663+1 4.604201-6 2.471076+1 4.615016-6 2.362012+1 4.627104-6 2.048181+1 4.645757-6 1.367662+1 4.658004-6 9.245363+0 4.669752-6 5.818089+0 4.680118-6 3.556790+0 4.691175-6 1.956619+0 4.707069-6 5.594709-1 4.713289-6 0.0 4.923943-6 0.0 4.945153-6 3.201296+0 4.948183-6 3.653958+0 4.960302-6 6.674253+0 4.972422-6 1.125371+1 4.986057-6 1.847071+1 5.007290-6 3.236814+1 5.021658-6 4.120204+1 5.034982-6 4.651546+1 5.046558-6 4.798546+1 5.058372-6 4.594297+1 5.071557-6 3.993785+1 5.090636-6 2.768000+1 5.105738-6 1.794220+1 5.117858-6 1.158286+1 5.129978-6 6.902557+0 5.142097-6 3.797153+0 5.160277-6 9.652517-1 5.166337-6 0.0 5.777309-6 0.0 5.791529-6 1.28221-14 5.805749-6 2.53715-14 5.819969-6 4.63431-14 5.834189-6 7.81408-14 5.848409-6 1.21626-13 5.862630-6 1.74753-13 5.876850-6 2.31782-13 5.891070-6 2.83784-13 5.905290-6 3.20738-13 5.919510-6 3.34632-13 5.933730-6 3.22283-13 5.947950-6 2.86524-13 5.962170-6 2.35147-13 5.990611-6 1.24583-13 6.004831-6 8.04263-14 6.019051-6 4.79283-14 6.033271-6 2.63658-14 6.047491-6 1.33888-14 6.061711-6 0.0 6.550713-6 0.0 6.574898-6 1.69868-12 6.582960-6 2.25772-12 6.586599-6 2.67813-12 6.610917-6 6.539186-2 6.619023-6 8.691265-2 6.635235-6 1.587531-1 6.651448-6 2.676795-1 6.667660-6 4.166409-1 6.701833-6 8.131752-1 6.718329-6 1.167319+0 6.751320-6 1.787755+0 6.770747-6 2.263805+0 6.801237-6 3.229458+0 6.835861-6 4.405255+0 6.851325-6 4.737917+0 6.867821-6 4.808924+0 6.884800-6 4.534770+0 6.903552-6 3.865136+0 6.949269-6 1.742534+0 6.965764-6 1.124918+0 6.982495-6 6.660878-1 6.999681-6 1.380205+0 7.016868-6 2.190403+0 7.034054-6 3.692340+0 7.052315-6 6.441838+0 7.070576-6 1.021839+1 7.101214-6 1.804678+1 7.121061-6 2.279385+1 7.139955-6 2.573334+1 7.156836-6 2.652004+1 7.173124-6 2.541663+1 7.191821-6 2.209447+1 7.218877-6 1.531317+1 7.240293-6 9.926010+0 7.257479-6 6.407887+0 7.274666-6 3.819025+0 7.291943-6 2.106184+0 7.321383-6 3.342615-1 7.326225-6 5.286790-2 7.329989-6 6.923248-2 7.345655-6 1.405997-1 7.357425-6 2.002777-1 7.375445-6 3.333103-1 7.393466-6 5.179432-1 7.416686-6 8.256833-1 7.453080-6 1.351162+0 7.470984-6 1.543222+0 7.483569-6 1.632767+0 7.501590-6 1.652256+0 7.519611-6 1.551526+0 7.537631-6 1.350890+0 7.585051-6 6.554025-1 7.591693-6 5.643045-1 7.609714-6 3.659225-1 7.628281-6 2.412565-1 7.645755-6 1.790804-1 7.665740-6 1.719967-1 7.681797-6 1.866012-1 7.684470-6 1.979859-1 7.703200-6 3.005000-1 7.750025-6 6.035754-1 7.759390-6 6.591897-1 7.778120-6 7.422396-1 7.796850-6 7.775438-1 7.815580-6 7.613276-1 7.843775-6 6.717610-1 7.867518-6 5.840618-1 7.893721-6 5.264319-1 7.913008-6 5.119924-1 7.984446-6 5.466826-1 8.084586-6 5.290727-1 8.189355-6 5.106121-1 8.239103-6 5.167813-1 8.239828-6 5.217987-1 8.278006-6 1.918418+0 8.281131-6 2.052480+0 8.301450-6 3.301647+0 8.323674-6 5.420767+0 8.345935-6 8.315244+0 8.404157-6 1.716241+1 8.428582-6 1.929402+1 8.447696-6 1.966705+1 8.467916-6 1.861207+1 8.489592-6 1.608544+1 8.543905-6 7.666721+0 8.564186-6 5.102901+0 8.584467-6 3.215248+0 8.604748-6 1.961831+0 8.645310-6 4.269871-1 8.671482-6 4.232965-1 8.714170-6 6.176538-1 8.735514-6 7.802613-1 8.756857-6 1.028542+0 8.761732-6 1.119525+0 8.789359-6 1.856716+0 8.805161-6 2.326950+0 8.838826-6 3.613653+0 8.889760-6 5.748786+0 8.912670-6 6.526639+0 8.934233-6 7.000450+0 8.954447-6 7.144886+0 8.977641-6 6.862413+0 9.005372-6 5.974559+0 9.057205-6 3.594778+0 9.083823-6 2.390370+0 9.098358-6 1.851256+0 9.105385-6 1.624930+0 9.126948-6 1.114030+0 9.148511-6 7.742054-1 9.191636-6 3.567439-1 9.356892-6 3.384659-1 9.379945-6 3.446359-1 9.426120-6 5.123399-1 9.449207-6 6.553362-1 9.472295-6 8.701389-1 9.498689-6 1.211076+0 9.564645-6 2.208708+0 9.590618-6 2.442440+0 9.613706-6 2.492182+0 9.636793-6 2.374110+0 9.664333-6 2.055884+0 9.715696-6 1.342121+0 9.727104-6 1.206903+0 9.749345-6 1.018157+0 9.766708-6 9.497113-1 9.774637-6 9.345089-1 9.795520-6 9.542115-1 9.825361-6 1.081038+0 9.846348-6 1.206656+0 9.870375-6 1.380230+0 9.882273-6 1.454970+0 9.906070-6 1.542769+0 9.929867-6 1.570091+0 1.002859-5 1.413544+0 1.025043-5 1.423930+0 1.033573-5 1.368584+0 1.037860-5 1.535124+0 1.041200-5 1.753973+0 1.044247-5 2.146308+0 1.046844-5 2.611808+0 1.054414-5 4.253374+0 1.057128-5 4.649289+0 1.059308-5 4.810333+0 1.062144-5 4.733114+0 1.065071-5 4.393326+0 1.074112-5 2.767148+0 1.076664-5 2.397757+0 1.079232-5 2.110259+0 1.084286-5 1.698607+0 1.088664-5 1.600468+0 1.096380-5 1.533942+0 1.102162-5 1.543944+0 1.107587-5 1.644743+0 1.110300-5 1.731858+0 1.113691-5 1.902823+0 1.118439-5 2.252613+0 1.125221-5 2.813221+0 1.129290-5 2.995405+0 1.132681-5 2.956618+0 1.137082-5 2.728364+0 1.142854-5 2.348387+0 1.145646-5 2.225056+0 1.148280-5 2.172692+0 1.151562-5 2.201471+0 1.162775-5 2.491869+0 1.174361-5 2.502444+0 1.220060-5 2.624248+0 1.383405-5 3.309639+0 1.543212-5 4.215314+0 1.737801-5 5.564855+0 2.010178-5 7.888654+0 2.398833-5 1.191236+1 2.960045-5 1.784418+1 3.281043-5 2.020004+1 3.625000-5 2.124219+1 4.035360-5 2.061781+1 4.702635-5 1.738209+1 5.182306-5 1.484364+1 5.205187-5 1.560706+1 5.220227-5 1.656368+1 5.232976-5 1.781096+1 5.257777-5 2.140116+1 5.281682-5 2.523090+1 5.299494-5 2.678605+1 5.312917-5 2.682668+1 5.323813-5 2.608564+1 5.339545-5 2.396796+1 5.370926-5 1.859779+1 5.383675-5 1.682068+1 5.396424-5 1.549698+1 5.413556-5 1.440324+1 5.436942-5 1.343808+1 5.759190-5 1.194828+1 5.816649-5 1.227537+1 5.884959-5 1.367106+1 5.915073-5 1.373843+1 5.993065-5 1.302535+1 6.156863-5 1.275465+1 6.868142-5 1.024297+1 6.918849-5 1.056359+1 6.953149-5 1.125943+1 7.018465-5 1.303796+1 7.036110-5 1.314217+1 7.069915-5 1.253411+1 7.137525-5 1.017855+1 7.171748-5 9.504699+0 7.221649-5 9.082969+0 7.481464-5 8.358615+0 7.581515-5 8.558068+0 7.664164-5 8.717075+0 7.900038-5 8.507203+0 9.042972-5 6.266376+0 1.001413-4 5.414839+0 1.095995-4 4.510556+0 1.118290-4 4.547613+0 1.135659-4 4.294781+0 1.230269-4 3.692820+0 1.307767-4 3.428938+0 1.375335-4 3.385252+0 1.453765-4 3.555291+0 1.536000-4 3.974717+0 1.625324-4 4.686358+0 1.745000-4 6.019245+0 1.873995-4 7.888784+0 2.438905-4 1.762176+1 2.799961-4 2.244523+1 3.115211-4 2.526712+1 3.288308-4 2.660959+1 3.372699-4 2.756656+1 3.485000-4 2.846988+1 4.062094-4 2.975846+1 4.986636-4 2.967337+1 5.217139-4 2.956309+1 5.432503-4 3.061879+1 6.829599-4 2.813287+1 7.366061-4 2.698328+1 7.586809-4 2.689637+1 1.005952-3 2.160311+1 1.221524-3 1.802088+1 1.473692-3 1.485496+1 1.737916-3 1.239324+1 2.077304-3 1.007135+1 2.162453-3 9.648620+0 2.177098-3 9.947129+0 2.185745-3 1.061357+1 2.193204-3 1.170749+1 2.201518-3 1.358233+1 2.226332-3 2.066082+1 2.236223-3 2.244434+1 2.250410-3 2.357245+1 2.279669-3 2.466416+1 2.320813-3 2.946013+1 2.346761-3 3.052173+1 2.515015-3 3.086758+1 2.698135-3 2.916454+1 2.766234-3 3.188308+1 3.111667-3 2.746601+1 3.190107-3 2.787169+1 3.380137-3 2.609996+1 3.466785-3 2.594538+1 4.000734-3 2.126507+1 4.632718-3 1.724339+1 5.321274-3 1.404468+1 6.174884-3 1.123447+1 6.948243-3 9.376075+0 7.850944-3 7.760402+0 8.925344-3 6.345337+0 1.020163-2 5.132493+0 1.159595-2 4.182545+0 1.170754-2 4.213511+0 1.176731-2 4.464044+0 1.181465-2 4.944551+0 1.187060-2 5.921059+0 1.198917-2 8.546581+0 1.204690-2 9.366530+0 1.212207-2 9.788472+0 1.240505-2 9.565892+0 1.352819-2 8.309410+0 1.364592-2 8.550614+0 1.377842-2 9.587757+0 1.388468-2 1.044452+1 1.401362-2 1.077470+1 1.420483-2 1.083836+1 1.447355-2 1.169574+1 1.491550-2 1.135870+1 1.731482-2 8.999746+0 1.994567-2 7.185040+0 2.278128-2 5.788991+0 2.603436-2 4.643448+0 2.942355-2 3.787725+0 3.249611-2 3.202493+0 3.678350-2 2.595488+0 4.122703-2 2.133830+0 4.654747-2 1.730826+0 5.237489-2 1.410656+0 5.877944-2 1.152806+0 6.596598-2 9.415781-1 7.468648-2 7.562872-1 7.898345-2 6.891276-1 7.943346-2 7.082184-1 7.970526-2 7.546468-1 7.992886-2 8.329066-1 8.011976-2 9.406468-1 8.034399-2 1.125120+0 8.061711-2 1.433770+0 8.133790-2 2.414858+0 8.171378-2 2.783851+0 8.211105-2 2.986669+0 8.286005-2 3.059092+0 9.671115-2 2.402647+0 1.082767-1 2.001904+0 1.223532-1 1.638395+0 1.378287-1 1.344659+0 1.537461-1 1.121474+0 1.725574-1 9.245206-1 1.934761-1 7.638378-1 2.177381-1 6.274056-1 2.443914-1 5.183583-1 2.753300-1 4.267397-1 3.088317-1 3.553511-1 3.467369-1 2.965208-1 3.893334-1 2.483757-1 4.403013-1 2.072164-1 4.972594-1 1.743799-1 5.631985-1 1.473043-1 6.386081-1 1.252831-1 7.370552-1 1.053734-1 8.389769-1 9.090191-2 9.773999-1 7.711475-2 1.173413+0 6.312083-2 1.347258+0 5.403524-2 1.546860+0 4.625743-2 1.776032+0 3.959915-2 2.039158+0 3.389926-2 2.341267+0 2.901981-2 2.688134+0 2.484271-2 3.102775+0 2.114592-2 3.710658+0 1.728659-2 4.260405+0 1.479836-2 4.891600+0 1.266829-2 5.616308+0 1.084482-2 6.448384+0 9.283823-3 7.403736+0 7.947513-3 8.500626+0 6.803551-3 9.760024+0 5.824250-3 1.000000+1 1.206340-2 1 79000 7 0 1.969670+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-7.895927+1 3.037850-6-7.837341+1 4.198390-6-7.580857+1 4.431380-6-7.222396+1 4.491342-6-6.829880+1 4.548818-6-6.122727+1 4.569549-6-6.291803+1 4.589720-6-6.949055+1 4.611109-6-7.915277+1 4.633728-6-7.070082+1 4.653340-6-6.838665+1 4.680118-6-7.092743+1 4.740839-6-7.864304+1 4.763234-6-7.878471+1 4.889697-6-7.081418+1 4.923348-6-6.566928+1 4.976588-6-5.334416+1 4.990696-6-5.227723+1 5.002816-6-5.384924+1 5.017066-6-5.947296+1 5.033583-6-7.115125+1 5.044088-6-7.918103+1 5.063059-6-6.308459+1 5.074975-6-5.544507+1 5.087653-6-5.045707+1 5.102330-6-4.866918+1 5.119373-6-5.079844+1 5.179940-6-6.436430+1 5.237947-6-6.948207+1 5.384369-6-7.390548+1 5.947950-6-7.814920+1 6.446234-6-7.934728+1 6.827789-6-7.589332+1 6.929035-6-7.819366+1 6.984072-6-7.452276+1 7.068427-6-6.638369+1 7.099628-6-6.755144+1 7.131131-6-7.415855+1 7.151218-6-7.980059+1 7.191821-6-6.728600+1 7.220991-6-6.308753+1 7.255331-6-6.354159+1 7.361930-6-7.298413+1 7.470984-6-7.565561+1 7.650842-6-7.694551+1 8.126050-6-8.033123+1 8.248141-6-7.690071+1 8.352725-6-7.215406+1 8.397970-6-7.513054+1 8.430602-6-8.086312+1 8.493672-6-6.955271+1 8.537809-6-6.719413+1 8.714170-6-7.617458+1 8.857484-6-7.934930+1 8.954447-6-7.597336+1 9.047731-6-7.261694+1 9.504890-6-7.861423+1 9.749345-6-7.746413+1 1.054414-5-8.018470+1 1.073186-5-7.698459+1 1.126577-5-7.939365+1 1.214143-5-7.939718+1 2.264644-5-8.206577+1 2.960045-5-7.855289+1 4.280092-5-6.442884+1 4.929493-5-6.167355+1 5.096315-5-6.147943+1 5.182306-5-5.889931+1 5.247817-5-5.548436+1 5.274510-5-5.701208+1 5.299494-5-6.141913+1 5.339545-5-5.341859+1 5.369133-5-5.167302+1 5.472676-5-5.648352+1 5.870074-5-6.026812+1 5.993065-5-5.898484+1 6.780410-5-5.812340+1 6.983443-5-5.930624+1 7.103720-5-5.538758+1 7.617424-5-5.810177+1 9.292537-5-5.828061+1 1.375335-4-6.260079+1 1.959539-4-6.919380+1 2.404408-4-6.887801+1 3.372699-4-6.021054+1 4.062094-4-5.277026+1 4.986636-4-4.581730+1 5.324729-4-4.444183+1 5.931619-4-3.986936+1 7.120328-4-3.441567+1 7.586809-4-3.281791+1 8.815244-4-2.931991+1 1.073063-3-2.642706+1 1.303167-3-2.507354+1 1.568489-3-2.529364+1 1.807118-3-2.704509+1 1.976982-3-2.982834+1 2.077304-3-3.293246+1 2.138781-3-3.643564+1 2.173025-3-4.039512+1 2.205012-3-4.634633+1 2.218374-3-4.671012+1 2.258040-3-4.200225+1 2.306213-3-4.096964+1 2.361216-3-3.516788+1 2.440029-3-3.070924+1 2.553654-3-2.623269+1 2.651391-3-2.389000+1 2.698135-3-2.400372+1 2.728782-3-2.442345+1 2.755105-3-2.336972+1 2.807344-3-2.041835+1 2.876764-3-1.830024+1 2.994230-3-1.612472+1 3.089485-3-1.527555+1 3.143135-3-1.522882+1 3.235937-3-1.333458+1 3.330114-3-1.232177+1 3.413498-3-1.187970+1 3.495839-3-1.054734+1 3.629530-3-9.201187+0 3.797988-3-8.008532+0 4.086454-3-6.599135+0 4.401221-3-5.594607+0 4.751883-3-4.862973+0 5.163896-3-4.356321+0 5.698643-3-4.046255+0 6.174884-3-3.944399+0 6.948243-3-4.038755+0 7.850944-3-4.366143+0 8.925344-3-4.991208+0 9.926519-3-5.841142+0 1.066350-2-6.789919+0 1.115027-2-7.777871+0 1.146608-2-8.844540+0 1.164211-2-9.904879+0 1.176731-2-1.134464+1 1.187060-2-1.271010+1 1.193645-2-1.289799+1 1.201983-2-1.209518+1 1.215071-2-1.028639+1 1.227892-2-9.235204+0 1.247886-2-8.370435+0 1.278064-2-7.704196+0 1.313523-2-7.460084+0 1.341794-2-7.708842+0 1.357563-2-8.276016+0 1.374662-2-9.074026+0 1.384701-2-8.881342+0 1.405926-2-7.721705+0 1.434400-2-7.297198+0 1.464422-2-5.829601+0 1.491550-2-4.982690+0 1.531087-2-4.161214+0 1.584893-2-3.372048+0 1.649027-2-2.706069+0 1.712971-2-2.221136+0 1.784482-2-1.816627+0 1.860778-2-1.481486+0 1.912301-2-1.303729+0 1.994567-2-1.084686+0 2.078548-2-9.153471-1 2.189333-2-7.578082-1 2.330577-2-6.259472-1 2.444134-2-5.667377-1 2.603436-2-5.239326-1 2.786121-2-5.146122-1 3.014946-2-5.377473-1 3.394910-2-6.304696-1 4.654747-2-1.039706+0 6.113479-2-1.553656+0 6.805553-2-1.872534+0 7.255229-2-2.173833+0 7.555249-2-2.486004+0 7.731373-2-2.773798+0 7.868000-2-3.141622+0 7.943346-2-3.506818+0 8.061711-2-4.401256+0 8.101395-2-4.472644+0 8.150707-2-4.222033+0 8.241064-2-3.438572+0 8.307252-2-3.043127+0 8.402018-2-2.688669+0 8.548206-2-2.333508+0 8.748094-2-2.014623+0 9.024026-2-1.711616+0 9.311484-2-1.487589+0 9.671115-2-1.287833+0 1.018854-1-1.092143+0 1.082767-1-9.315022-1 1.166354-1-7.972124-1 1.251308-1-7.167879-1 1.378287-1-6.525061-1 1.537461-1-6.199253-1 1.790155-1-6.178480-1 3.324442-1-7.524935-1 4.972594-1-8.268573-1 7.989139-1-8.750999-1 2.135261+0-9.022815-1 6.448384+0-9.085835-1 1.000000+1-9.081846-1 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.259814-3 1.073292-6 2.986961-3 1.106832-6 3.357684-3 1.141421-6 3.784178-3 1.177090-6 4.273849-3 1.251808-6 5.483743-3 1.331268-6 7.087122-3 1.415772-6 9.219374-3 1.505641-6 1.206503-2 1.601214-6 1.587684-2 1.702853-6 2.100302-2 1.810944-6 2.792654-2 1.925897-6 3.732255-2 2.048146-6 5.005937-2 2.178155-6 6.606281-2 2.246223-6 7.617046-2 2.316417-6 8.808184-2 2.388805-6 1.021567-1 2.463455-6 1.188357-1 2.540438-6 1.386616-1 2.619827-6 1.623062-1 2.701697-6 1.905961-1 2.783146-6 2.232765-1 2.862050-6 2.599271-1 2.938489-6 3.008410-1 3.153768-6 4.496334-1 3.221090-6 5.082972-1 3.286308-6 5.725712-1 3.349489-6 6.427883-1 3.410695-6 7.192888-1 3.469988-6 8.024208-1 3.527428-6 8.925407-1 3.583074-6 9.900125-1 3.636980-6 1.095208+0 3.689202-6 1.208509+0 3.739792-6 1.330399+0 3.882272-6 1.749084+0 3.926828-6 1.905038+0 3.969992-6 2.073823+0 4.053623-6 2.449687+0 4.132026-6 2.871944+0 4.205529-6 3.346314+0 4.274439-6 3.876909+0 4.339041-6 4.467858+0 4.399606-6 5.123365+0 4.456386-6 5.847735+0 4.509616-6 6.645372+0 4.559520-6 7.520773+0 4.606305-6 8.478527+0 4.650166-6 9.523308+0 4.691286-6 1.065987+1 4.729835-6 1.189293+1 4.765975-6 1.322668+1 4.800000-6 1.467133+1 4.831621-6 1.621187+1 4.861399-6 1.787378+1 4.889317-6 1.965665+1 4.915489-6 2.156622+1 4.940026-6 2.360793+1 4.963029-6 2.578721+1 4.984595-6 2.810949+1 5.004813-6 3.058030+1 5.023767-6 3.320528+1 5.041536-6 3.599025+1 5.058195-6 3.894130+1 5.073813-6 4.206488+1 5.088454-6 4.536781+1 5.102181-6 4.885720+1 5.115049-6 5.254056+1 5.127114-6 5.642605+1 5.138424-6 6.052300+1 5.149027-6 6.484260+1 5.158968-6 6.939849+1 5.177607-6 7.964841+1 5.193916-6 9.115453+1 5.208186-6 1.040830+2 5.220673-6 1.185236+2 5.231598-6 1.344331+2 5.241158-6 1.516191+2 5.249523-6 1.697670+2 5.256843-6 1.884907+2 5.263247-6 2.073865+2 5.273755-6 2.442399+2 5.285553-6 2.956250+2 5.310426-6 4.447158+2 5.321144-6 5.271142+2 5.327676-6 5.824260+2 5.334209-6 6.411826+2 5.347274-6 7.668233+2 5.348907-6 7.830713+2 5.360339-6 8.980602+2 5.364830-6 9.430302+2 5.373404-6 1.026622+3 5.377895-6 1.068441+3 5.382182-6 1.106587+3 5.388103-6 1.155726+3 5.393104-6 1.193403+3 5.399535-6 1.235756+3 5.405251-6 1.266861+3 5.411911-6 1.294443+3 5.419541-6 1.313599+3 5.426073-6 1.318846+3 5.428347-6 1.318201+3 5.434837-6 1.309319+3 5.440919-6 1.291646+3 5.444411-6 1.277531+3 5.450627-6 1.245580+3 5.456802-6 1.205760+3 5.466060-6 1.132799+3 5.471112-6 1.087297+3 5.475370-6 1.046385+3 5.480988-6 9.895057+2 5.485364-6 9.434020+2 5.490991-6 8.825370+2 5.496707-6 8.196823+2 5.502678-6 7.538297+2 5.510588-6 6.677724+2 5.516304-6 6.073624+2 5.518754-6 5.820999+2 5.524470-6 5.249122+2 5.530186-6 4.705291+2 5.544068-6 3.520138+2 5.548278-6 3.201663+2 5.552297-6 2.916016+2 5.556316-6 2.648290+2 5.563870-6 2.192960+2 5.570405-6 1.847812+2 5.577161-6 1.535993+2 5.582478-6 1.320793+2 5.587713-6 1.133104+2 5.592865-6 9.700691+1 5.597938-6 8.289889+1 5.605399-6 6.530961+1 5.612706-6 5.130642+1 5.617489-6 4.365238+1 5.626831-6 3.165550+1 5.638093-6 2.147312+1 5.642462-6 1.855122+1 5.646763-6 1.614914+1 5.648888-6 1.512073+1 5.650996-6 1.419679+1 5.653088-6 1.337009+1 5.655932-6 1.238198+1 5.657470-6 1.190914+1 5.659512-6 1.134496+1 5.661537-6 1.085344+1 5.663547-6 1.042973+1 5.667535-6 9.766025+0 5.671461-6 9.325760+0 5.675325-6 9.081543+0 5.682934-6 9.094248+0 5.690304-6 9.662989+0 5.704584-6 1.212241+1 5.731359-6 2.111610+1 5.743074-6 2.693688+1 5.754056-6 3.362943+1 5.764351-6 4.119513+1 5.799489-6 8.102141+1 5.813935-6 1.074413+2 5.823750-6 1.307278+2 5.832392-6 1.559229+2 5.837791-6 1.743722+2 5.847916-6 2.157628+2 5.864526-6 3.082141+2 5.890956-6 5.456435+2 5.905089-6 7.349001+2 5.915897-6 9.158810+2 5.924392-6 1.082365+3 5.933355-6 1.282283+3 5.940639-6 1.463331+3 5.947923-6 1.660733+3 5.962492-6 2.100834+3 5.964313-6 2.159625+3 5.977060-6 2.589354+3 5.982068-6 2.764648+3 5.991628-6 3.103624+3 5.999026-6 3.364913+3 6.006197-6 3.612415+3 6.013595-6 3.856961+3 6.020765-6 4.078737+3 6.027139-6 4.259536+3 6.033029-6 4.410186+3 6.036244-6 4.484935+3 6.044780-6 4.654814+3 6.051446-6 4.755997+3 6.059211-6 4.836254+3 6.065549-6 4.870421+3 6.079494-6 4.844694+3 6.086009-6 4.786079+3 6.094517-6 4.667654+3 6.100332-6 4.561464+3 6.104254-6 4.479290+3 6.109996-6 4.345009+3 6.115573-6 4.200453+3 6.122743-6 3.997325+3 6.129117-6 3.803705+3 6.135263-6 3.608367+3 6.144596-6 3.301677+3 6.151880-6 3.058956+3 6.160075-6 2.787680+3 6.166448-6 2.580999+3 6.181017-6 2.133490+3 6.190805-6 1.858880+3 6.195585-6 1.733649+3 6.206511-6 1.470767+3 6.219982-6 1.192328+3 6.250548-6 7.349560+2 6.255503-6 6.806272+2 6.265338-6 5.863684+2 6.275018-6 5.091314+2 6.284548-6 4.459061+2 6.293928-6 3.940866+2 6.303162-6 3.514723+2 6.312252-6 3.162431+2 6.321199-6 2.869179+2 6.330007-6 2.623084+2 6.338677-6 2.414707+2 6.355747-6 2.080669+2 6.372282-6 1.828189+2 6.388302-6 1.630852+2 6.403820-6 1.472263+2 6.418854-6 1.341944+2 6.433418-6 1.232943+2 6.447527-6 1.140457+2 6.461194-6 1.061052+2 6.487676-6 9.301173+1 6.512502-6 8.289021+1 6.535777-6 7.486153+1 6.557597-6 6.836121+1 6.578053-6 6.300913+1 6.597231-6 5.853947+1 6.633189-6 5.132771+1 6.664653-6 4.602404+1 6.692183-6 4.199919+1 6.716272-6 3.886990+1 6.758429-6 3.411812+1 6.790046-6 3.105094+1 6.837471-6 2.708268+1 6.918790-6 2.162308+1 7.105199-6 1.319177+1 7.206877-6 1.006351+1 7.223823-6 9.616901+0 7.452704-6 4.512247+0 7.474827-6 4.083492+0 7.505238-6 3.520343+0 7.531846-6 3.051076+0 7.555129-6 2.656890+0 7.581450-6 2.229197+0 7.593750-6 2.036356+0 7.608925-6 1.805653+0 7.622573-6 1.606290+0 7.646457-6 1.281710+0 7.664370-6 1.065809+0 7.677805-6 9.246859-1 7.687881-6 8.333071-1 7.695438-6 7.742411-1 7.701105-6 7.358850-1 7.709607-6 6.889077-1 7.713858-6 6.705805-1 7.718109-6 6.559639-1 7.720483-6 6.494936-1 7.728794-6 6.370723-1 7.737106-6 6.419658-1 7.746604-6 6.714097-1 7.751354-6 6.967115-1 7.753728-6 7.122208-1 7.756103-6 7.297243-1 7.758477-6 7.492923-1 7.766789-6 8.351313-1 7.770944-6 8.889594-1 7.776287-6 9.698736-1 7.778514-6 1.007720+0 7.790201-6 1.250642+0 7.795841-6 1.397413+0 7.813243-6 1.997002+0 7.838643-6 3.390867+0 7.852079-6 4.457476+0 7.864323-6 5.677406+0 7.870086-6 6.343808+0 7.880500-6 7.712064+0 7.890915-6 9.306719+0 7.899382-6 1.078001+1 7.909311-6 1.271680+1 7.918100-6 1.462163+1 7.924139-6 1.603241+1 7.932785-6 1.819187+1 7.941126-6 2.042097+1 7.949803-6 2.287572+1 7.957710-6 2.521492+1 7.965911-6 2.772092+1 7.974243-6 3.032277+1 7.983117-6 3.311959+1 7.991426-6 3.572530+1 8.000225-6 3.842800+1 8.008701-6 4.093443+1 8.014290-6 4.251473+1 8.023485-6 4.495419+1 8.032680-6 4.715198+1 8.036671-6 4.801921+1 8.044394-6 4.953218+1 8.052724-6 5.089981+1 8.071553-6 5.288119+1 8.079032-6 5.321867+1 8.092812-6 5.316418+1 8.099652-6 5.281931+1 8.105858-6 5.233209+1 8.111289-6 5.177583+1 8.120197-6 5.061715+1 8.127473-6 4.946267+1 8.137022-6 4.769706+1 8.146230-6 4.576525+1 8.149300-6 4.507888+1 8.159018-6 4.279144+1 8.168736-6 4.036997+1 8.173331-6 3.919283+1 8.183669-6 3.650140+1 8.187115-6 3.559818+1 8.206458-6 3.057876+1 8.218038-6 2.768997+1 8.227046-6 2.554030+1 8.242880-6 2.201686+1 8.258630-6 1.887801+1 8.285355-6 1.443049+1 8.308969-6 1.136934+1 8.325156-6 9.678614+0 8.341722-6 8.235477+0 8.356218-6 7.171472+0 8.381584-6 5.659733+0 8.457685-6 2.776143+0 8.478502-6 2.280844+0 8.488911-6 2.077967+0 8.499320-6 1.907171+0 8.506215-6 1.812771+0 8.513111-6 1.734140+0 8.516624-6 1.700378+0 8.520137-6 1.671002+0 8.530546-6 1.610659+0 8.540955-6 1.592082+0 8.547987-6 1.604241+0 8.551503-6 1.617993+0 8.555018-6 1.636932+0 8.575972-6 1.858807+0 8.580044-6 1.923559+0 8.584691-6 2.005899+0 8.599941-6 2.336946+0 8.627734-6 3.147142+0 8.640319-6 3.577507+0 8.651194-6 3.966269+0 8.657610-6 4.198509+0 8.665860-6 4.495787+0 8.676269-6 4.861555+0 8.685376-6 5.165784+0 8.688771-6 5.273974+0 8.696096-6 5.495725+0 8.703422-6 5.698864+0 8.724380-6 6.152973+0 8.728146-6 6.211776+0 8.745338-6 6.382117+0 8.754807-6 6.404805+0 8.762377-6 6.386401+0 8.772676-6 6.310561+0 8.782266-6 6.189917+0 8.790098-6 6.058319+0 8.795972-6 5.941782+0 8.800378-6 5.845183+0 8.810290-6 5.602239+0 8.813595-6 5.514301+0 8.825277-6 5.181002+0 8.829170-6 5.063630+0 8.839650-6 4.737335+0 8.850129-6 4.402870+0 8.864528-6 3.945511+0 8.878675-6 3.516001+0 8.906636-6 2.781858+0 8.925436-6 2.402190+0 8.935624-6 2.238263+0 8.942064-6 2.149590+0 8.947699-6 2.081182+0 8.952629-6 2.028094+0 8.961258-6 1.949571+0 8.967729-6 1.901858+0 8.972582-6 1.871841+0 8.979863-6 1.835243+0 8.987143-6 1.807643+0 8.997990-6 1.780432+0 9.008836-6 1.766066+0 9.026462-6 1.759643+0 9.057201-6 1.759549+0 9.074700-6 1.748439+0 9.088990-6 1.728770+0 9.099708-6 1.707328+0 9.115785-6 1.665121+0 9.131862-6 1.612917+0 9.160691-6 1.504136+0 9.212589-6 1.306490+0 9.228055-6 1.254617+0 9.258037-6 1.166212+0 9.291871-6 1.083896+0 9.311307-6 1.043590+0 9.340228-6 9.917997-1 9.367083-6 9.523409-1 9.388655-6 9.271021-1 9.405434-6 9.118052-1 9.424476-6 8.993474-1 9.446091-6 8.917933-1 9.464005-6 8.909328-1 9.485378-6 8.962811-1 9.504280-6 9.067179-1 9.527294-6 9.266570-1 9.547491-6 9.509533-1 9.565110-6 9.778110-1 9.585124-6 1.015581+0 9.602691-6 1.056066+0 9.622635-6 1.111626+0 9.636518-6 1.157001+0 9.658527-6 1.241005+0 9.684603-6 1.359306+0 9.723199-6 1.560829+0 9.736808-6 1.633462+0 9.763532-6 1.764568+0 9.785150-6 1.846985+0 9.808656-6 1.899065+0 9.835194-6 1.900866+0 9.844228-6 1.887678+0 9.872564-6 1.811460+0 9.885052-6 1.769353+0 9.902682-6 1.716467+0 9.914435-6 1.695623+0 9.926188-6 1.696375+0 9.937941-6 1.729420+0 9.949694-6 1.807661+0 9.961447-6 1.946624+0 9.973201-6 2.164977+0 9.984954-6 2.485133+0 9.992061-6 2.739227+0 9.996707-6 2.933936+0 1.000846-5 3.543410+0 1.002021-5 4.351524+0 1.002900-5 5.111925+0 1.003724-5 5.967142+0 1.006535-5 1.020835+1 1.007728-5 1.279338+1 1.008772-5 1.553708+1 1.009686-5 1.835942+1 1.010485-5 2.118935+1 1.011797-5 2.664830+1 1.012801-5 3.159134+1 1.013621-5 3.617317+1 1.014697-5 4.298466+1 1.015886-5 5.166074+1 1.017091-5 6.177565+1 1.017836-5 6.873616+1 1.018581-5 7.625467+1 1.019832-5 9.015412+1 1.020926-5 1.036535+2 1.021082-5 1.056838+2 1.023583-5 1.415170+2 1.024033-5 1.485890+2 1.026241-5 1.857145+2 1.027047-5 2.000812+2 1.028585-5 2.282961+2 1.029445-5 2.443053+2 1.030471-5 2.634070+2 1.031399-5 2.804962+2 1.032356-5 2.977243+2 1.033356-5 3.150561+2 1.034212-5 3.291672+2 1.035297-5 3.458349+2 1.036244-5 3.590811+2 1.037710-5 3.767046+2 1.038780-5 3.870858+2 1.039924-5 3.956363+2 1.041110-5 4.015406+2 1.042269-5 4.043052+2 1.043426-5 4.040701+2 1.044353-5 4.017495+2 1.046248-5 3.913689+2 1.047439-5 3.812694+2 1.048593-5 3.691456+2 1.049863-5 3.534957+2 1.051094-5 3.364089+2 1.052188-5 3.199669+2 1.053243-5 3.032764+2 1.054845-5 2.769365+2 1.056096-5 2.560185+2 1.057503-5 2.326005+2 1.058597-5 2.147478+2 1.061098-5 1.761125+2 1.061957-5 1.637456+2 1.063599-5 1.416747+2 1.065474-5 1.191071+2 1.067004-5 1.028648+2 1.069112-5 8.359470+1 1.074909-5 4.689709+1 1.077234-5 3.747701+1 1.079450-5 3.053083+1 1.081762-5 2.492635+1 1.083476-5 2.161344+1 1.085302-5 1.869699+1 1.087014-5 1.642046+1 1.090223-5 1.304287+1 1.093032-5 1.077271+1 1.099790-5 6.910662+0 1.103016-5 5.581736+0 1.107854-5 3.997930+0 1.118170-5 1.797731+0 1.120909-5 1.438553+0 1.123647-5 1.169854+0 1.126386-5 9.910764-1 1.129125-5 9.009521-1 1.130494-5 8.888851-1 1.131864-5 8.992268-1 1.133233-5 9.331317-1 1.134602-5 9.929624-1 1.135972-5 1.082882+0 1.137341-5 1.209576+0 1.138026-5 1.289694+0 1.139053-5 1.435348+0 1.140080-5 1.617736+0 1.141278-5 1.888466+0 1.142241-5 2.162129+0 1.143461-5 2.598626+0 1.144581-5 3.108928+0 1.145558-5 3.658734+0 1.146462-5 4.271265+0 1.148296-5 5.891373+0 1.151377-5 1.014147+1 1.152763-5 1.287637+1 1.154317-5 1.670798+1 1.155690-5 2.086262+1 1.156990-5 2.554916+1 1.157555-5 2.783274+1 1.158403-5 3.155375+1 1.159251-5 3.564365+1 1.159848-5 3.875070+1 1.160743-5 4.377511+1 1.161816-5 5.038466+1 1.162150-5 5.257033+1 1.163900-5 6.506843+1 1.165020-5 7.394601+1 1.167468-5 9.555796+1 1.168509-5 1.055488+2 1.170352-5 1.241067+2 1.171269-5 1.336314+2 1.172363-5 1.451217+2 1.173375-5 1.557643+2 1.174464-5 1.671007+2 1.175602-5 1.786595+2 1.176576-5 1.881964+2 1.177809-5 1.996307+2 1.178798-5 2.081454+2 1.180177-5 2.188323+2 1.181371-5 2.268103+2 1.182218-5 2.316660+2 1.183582-5 2.379578+2 1.184861-5 2.420495+2 1.185680-5 2.437166+2 1.186854-5 2.447816+2 1.188112-5 2.441976+2 1.190268-5 2.391728+2 1.191623-5 2.335853+2 1.192936-5 2.265589+2 1.193993-5 2.198697+2 1.195255-5 2.108421+2 1.196012-5 2.049531+2 1.197300-5 1.942614+2 1.198542-5 1.833201+2 1.198956-5 1.795684+2 1.200213-5 1.679457+2 1.201471-5 1.561308+2 1.203072-5 1.410929+2 1.204317-5 1.295829+2 1.207162-5 1.046207+2 1.207520-5 1.016586+2 1.210027-5 8.233995+1 1.212146-5 6.817630+1 1.215983-5 4.807424+1 1.217015-5 4.390919+1 1.217988-5 4.044930+1 1.218962-5 3.743737+1 1.219986-5 3.473965+1 1.221940-5 3.086517+1 1.222312-5 3.030813+1 1.222964-5 2.946600+1 1.224918-5 2.789683+1 1.225543-5 2.767787+1 1.226256-5 2.758222+1 1.226790-5 2.761305+1 1.227592-5 2.781443+1 1.228394-5 2.818960+1 1.229452-5 2.892625+1 1.230584-5 2.998381+1 1.231450-5 3.095614+1 1.233087-5 3.310420+1 1.237041-5 3.927566+1 1.238884-5 4.224789+1 1.240360-5 4.451695+1 1.241060-5 4.553333+1 1.242635-5 4.763382+1 1.243801-5 4.898918+1 1.246728-5 5.147808+1 1.247841-5 5.204239+1 1.249966-5 5.249756+1 1.251370-5 5.234858+1 1.252516-5 5.196830+1 1.253376-5 5.153639+1 1.254667-5 5.066528+1 1.255957-5 4.954549+1 1.257024-5 4.844833+1 1.258092-5 4.721341+1 1.260017-5 4.469211+1 1.260658-5 4.378142+1 1.261948-5 4.186784+1 1.263637-5 3.923477+1 1.264943-5 3.713708+1 1.267939-5 3.228467+1 1.269593-5 2.965993+1 1.270934-5 2.759747+1 1.272079-5 2.589618+1 1.275515-5 2.120844+1 1.279968-5 1.623536+1 1.281794-5 1.458370+1 1.284933-5 1.226509+1 1.286587-5 1.129835+1 1.288250-5 1.049234+1 1.289025-5 1.017064+1 1.291380-5 9.389400+0 1.292544-5 9.103651+0 1.294290-5 8.785554+0 1.296036-5 8.584085+0 1.297227-5 8.503843+0 1.299013-5 8.455045+0 1.300800-5 8.473094+0 1.303940-5 8.602818+0 1.307080-5 8.766895+0 1.310220-5 8.877747+0 1.311072-5 8.890167+0 1.313627-5 8.870060+0 1.315243-5 8.809657+0 1.316456-5 8.739927+0 1.318275-5 8.598119+0 1.320093-5 8.416328+0 1.321437-5 8.260526+0 1.322780-5 8.090132+0 1.325920-5 7.655086+0 1.334183-5 6.527271+0 1.335339-5 6.392382+0 1.338479-5 6.064809+0 1.341507-5 5.799812+0 1.346096-5 5.472844+0 1.358045-5 4.783604+0 1.364237-5 4.407509+0 1.367755-5 4.176185+0 1.371279-5 3.932986+0 1.374364-5 3.713901+0 1.381948-5 3.197186+0 1.384116-5 3.073876+0 1.385442-5 3.008901+0 1.387368-5 2.933088+0 1.389259-5 2.885375+0 1.390620-5 2.871034+0 1.391464-5 2.871822+0 1.392201-5 2.879172+0 1.393023-5 2.895216+0 1.394574-5 2.950072+0 1.396006-5 3.032141+0 1.396946-5 3.103926+0 1.398074-5 3.210129+0 1.398988-5 3.313188+0 1.400828-5 3.569266+0 1.401458-5 3.672453+0 1.402720-5 3.904314+0 1.404175-5 4.213800+0 1.405696-5 4.586205+0 1.407418-5 5.068104+0 1.412138-5 6.697495+0 1.415163-5 7.937005+0 1.416877-5 8.684126+0 1.417979-5 9.174368+0 1.419852-5 1.001343+1 1.421200-5 1.061328+1 1.422970-5 1.138135+1 1.424676-5 1.208671+1 1.425245-5 1.231150+1 1.426785-5 1.288834+1 1.428325-5 1.341058+1 1.430279-5 1.398014+1 1.431798-5 1.434210+1 1.433054-5 1.458313+1 1.435271-5 1.487259+1 1.435705-5 1.490839+1 1.438744-5 1.496584+1 1.439722-5 1.491353+1 1.441189-5 1.477311+1 1.442655-5 1.456203+1 1.443469-5 1.441634+1 1.445063-5 1.407628+1 1.445960-5 1.385572+1 1.447561-5 1.341587+1 1.449163-5 1.292532+1 1.450562-5 1.246337+1 1.451960-5 1.197736+1 1.453680-5 1.135702+1 1.455399-5 1.072263+1 1.458837-5 9.456074+0 1.464632-5 7.502914+0 1.466527-5 6.949631+0 1.470000-5 6.075099+0 1.470906-5 5.878719+0 1.473473-5 5.395362+0 1.476615-5 4.952842+0 1.478146-5 4.795517+0 1.480419-5 4.629763+0 1.481767-5 4.567969+0 1.485387-5 4.525050+0 1.487205-5 4.563848+0 1.489023-5 4.636937+0 1.490422-5 4.713334+0 1.492521-5 4.854810+0 1.495949-5 5.134029+0 1.499937-5 5.487514+0 1.501828-5 5.649428+0 1.503718-5 5.799909+0 1.506494-5 5.990514+0 1.507419-5 6.044303+0 1.511120-5 6.203702+0 1.512971-5 6.248603+0 1.514822-5 6.270842+0 1.516801-5 6.271343+0 1.519770-5 6.233421+0 1.522740-5 6.160550+0 1.532681-5 5.839698+0 1.537424-5 5.724852+0 1.540201-5 5.679729+0 1.544129-5 5.641961+0 1.547488-5 5.628882+0 1.568799-5 5.646519+0 1.588011-5 5.635188+0 1.597977-5 5.661811+0 1.611487-5 5.743287+0 1.630332-5 5.907675+0 1.661796-5 6.240340+0 1.678804-5 6.452063+0 1.700947-5 6.779779+0 1.730000-5 7.290763+0 1.754517-5 7.810503+0 1.781932-5 8.478847+0 1.798871-5 8.937448+0 1.837617-5 1.014286+1 1.895043-5 1.227713+1 1.920232-5 1.337833+1 1.954263-5 1.503595+1 2.018366-5 1.856409+1 2.078313-5 2.253548+1 2.133352-5 2.669579+1 2.237111-5 3.607035+1 2.325593-5 4.588420+1 2.393151-5 5.446619+1 2.472363-5 6.597507+1 2.537860-5 7.667867+1 2.620886-5 9.175631+1 2.710000-5 1.098761+2 2.768508-5 1.228090+2 2.827016-5 1.366014+2 2.934708-5 1.639765+2 2.985383-5 1.776596+2 3.073016-5 2.022946+2 3.178040-5 2.333601+2 3.273407-5 2.623694+2 3.345852-5 2.844119+2 3.443027-5 3.139156+2 3.511334-5 3.342437+2 3.589219-5 3.564652+2 3.651922-5 3.736720+2 3.745706-5 3.978503+2 3.833297-5 4.187652+2 3.952481-5 4.439358+2 4.041372-5 4.601163+2 4.148648-5 4.762779+2 4.240562-5 4.881075+2 4.329040-5 4.970626+2 4.390162-5 5.021589+2 4.500000-5 5.094093+2 4.608000-5 5.140171+2 4.739168-5 5.170436+2 4.866531-5 5.175398+2 5.070173-5 5.142453+2 5.219284-5 5.094015+2 5.352292-5 5.035261+2 5.624520-5 4.885690+2 5.804296-5 4.770965+2 5.969494-5 4.643551+2 6.138397-5 4.490063+2 6.264536-5 4.346600+2 6.357053-5 4.200663+2 6.422225-5 4.074339+2 6.453840-5 4.029639+2 6.471623-5 4.018795+2 6.487431-5 4.020913+2 6.502850-5 4.034727+2 6.521537-5 4.066609+2 6.553600-5 4.150084+2 6.582720-5 4.235014+2 6.599525-5 4.277810+2 6.622211-5 4.321326+2 6.657443-5 4.353688+2 6.771408-5 4.356614+2 6.867172-5 4.375022+2 7.110000-5 4.368463+2 7.376087-5 4.312924+2 7.621641-5 4.230281+2 7.897983-5 4.101431+2 8.154072-5 3.946273+2 8.374302-5 3.758522+2 8.403888-5 3.743250+2 8.455520-5 3.732707+2 8.681107-5 3.754692+2 8.789066-5 3.758301+2 8.900158-5 3.749777+2 9.280972-5 3.679240+2 9.760394-5 3.554328+2 1.010340-4 3.440527+2 1.038877-4 3.329974+2 1.062119-4 3.233692+2 1.096248-4 3.080959+2 1.143522-4 2.944164+2 1.216540-4 2.797591+2 1.237035-4 2.736968+2 1.260000-4 2.671387+2 1.280832-4 2.625854+2 1.315000-4 2.545081+2 1.340000-4 2.478860+2 1.368516-4 2.398664+2 1.396368-4 2.317729+2 1.442400-4 2.180070+2 1.486375-4 2.046651+2 1.526930-4 1.924512+2 1.594043-4 1.731461+2 1.729101-4 1.402217+2 1.760000-4 1.341736+2 1.793324-4 1.283937+2 1.830846-4 1.228975+2 1.872931-4 1.180564+2 1.905461-4 1.155348+2 1.958513-4 1.139908+2 2.020917-4 1.158613+2 2.071462-4 1.204143+2 2.129116-4 1.288252+2 2.170486-4 1.370200+2 2.215000-4 1.476087+2 2.251533-4 1.574874+2 2.300000-4 1.723429+2 2.400000-4 2.080261+2 2.520000-4 2.585392+2 2.605924-4 2.986684+2 2.660725-4 3.257367+2 2.754229-4 3.739997+2 2.859211-4 4.304387+2 2.949120-4 4.796360+2 3.040056-4 5.291012+2 3.126079-4 5.750171+2 3.251607-4 6.387035+2 3.368962-4 6.938769+2 3.463371-4 7.358983+2 3.495315-4 7.539423+2 3.550000-4 7.898488+2 3.591343-4 8.121249+2 3.625105-4 8.289463+2 3.661627-4 8.494340+2 3.732780-4 8.979760+2 3.752814-4 9.097965+2 3.932160-4 9.925575+2 4.169272-4 1.097615+3 4.387845-4 1.186956+3 4.637137-4 1.276989+3 4.856219-4 1.345126+3 5.108859-4 1.413578+3 5.341627-4 1.464079+3 5.488875-4 1.483992+3 5.564872-4 1.491159+3 5.603478-4 1.498472+3 5.647230-4 1.514443+3 5.680316-4 1.532522+3 5.773066-4 1.592286+3 5.850859-4 1.630268+3 6.003222-4 1.679437+3 6.219458-4 1.732509+3 6.509158-4 1.788286+3 6.652622-4 1.811787+3 6.855553-4 1.857942+3 7.059111-4 1.895701+3 7.399658-4 1.938329+3 7.740161-4 1.968488+3 7.946338-4 1.998062+3 8.087721-4 2.021005+3 8.409794-4 2.058615+3 8.850000-4 2.094505+3 9.372922-4 2.125746+3 9.915824-4 2.147073+3 1.050147-3 2.160823+3 1.110805-3 2.167278+3 1.184234-3 2.163331+3 1.266193-3 2.141625+3 1.351019-3 2.112770+3 1.431448-3 2.080237+3 1.516988-3 2.038696+3 1.602395-3 1.989667+3 1.696158-3 1.922850+3 1.785231-3 1.844772+3 1.861244-3 1.770044+3 1.929954-3 1.693438+3 1.989647-3 1.617289+3 2.043673-3 1.537414+3 2.088020-3 1.460948+3 2.127112-3 1.380767+3 2.158690-3 1.304653+3 2.182348-3 1.238020+3 2.205006-3 1.162027+3 2.222321-3 1.091555+3 2.236384-3 1.023172+3 2.247472-3 9.617357+2 2.267071-3 8.504144+2 2.272405-3 8.254228+2 2.278023-3 8.047923+2 2.281043-3 7.967540+2 2.283685-3 7.917282+2 2.286417-3 7.886515+2 2.289690-3 7.879590+2 2.293324-3 7.911358+2 2.295894-3 7.959023+2 2.299661-3 8.065685+2 2.303486-3 8.216133+2 2.308435-3 8.466305+2 2.312715-3 8.723864+2 2.329880-3 9.929027+2 2.335236-3 1.029544+3 2.341209-3 1.067063+3 2.349334-3 1.111299+3 2.357429-3 1.148157+3 2.379844-3 1.235847+3 2.388499-3 1.274388+3 2.397352-3 1.319814+3 2.420248-3 1.456495+3 2.429267-3 1.510442+3 2.441153-3 1.575656+3 2.455736-3 1.644136+3 2.475997-3 1.721126+3 2.501104-3 1.798322+3 2.529123-3 1.870860+3 2.563351-3 1.946594+3 2.609901-3 2.034060+3 2.652883-3 2.101234+3 2.695381-3 2.153281+3 2.730615-3 2.179694+3 2.755589-3 2.183749+3 2.800768-3 2.167524+3 2.811542-3 2.170205+3 2.822419-3 2.180989+3 2.831070-3 2.196333+3 2.846664-3 2.238208+3 2.876887-3 2.344048+3 2.891338-3 2.390360+3 2.907412-3 2.432489+3 2.926934-3 2.471149+3 2.950898-3 2.505501+3 2.985383-3 2.540823+3 3.015459-3 2.563455+3 3.064044-3 2.589287+3 3.103666-3 2.602455+3 3.148332-3 2.608848+3 3.180064-3 2.606567+3 3.249140-3 2.590386+3 3.276800-3 2.600831+3 3.336499-3 2.656667+3 3.360052-3 2.672989+3 3.393321-3 2.686043+3 3.430559-3 2.690967+3 3.512482-3 2.687248+3 3.547339-3 2.699010+3 3.627383-3 2.743834+3 3.666917-3 2.755556+3 3.775491-3 2.767020+3 3.904916-3 2.764716+3 4.097321-3 2.742080+3 4.384293-3 2.688248+3 4.598097-3 2.638287+3 4.945911-3 2.546886+3 5.204592-3 2.475988+3 5.641651-3 2.352756+3 6.038617-3 2.243057+3 6.437985-3 2.136535+3 6.937315-3 2.008502+3 7.593967-3 1.851764+3 8.282363-3 1.700151+3 8.614973-3 1.631181+3 8.993438-3 1.555152+3 9.372922-3 1.481909+3 9.774335-3 1.406789+3 1.009035-2 1.349088+3 1.037346-2 1.297142+3 1.065369-2 1.245974+3 1.090020-2 1.200392+3 1.111187-2 1.160279+3 1.129476-2 1.124212+3 1.144175-2 1.093525+3 1.157147-2 1.064722+3 1.166679-2 1.041992+3 1.175931-2 1.017931+3 1.184432-2 9.930903+2 1.191356-2 9.698265+2 1.196764-2 9.490920+2 1.204701-2 9.145216+2 1.215948-2 8.653604+2 1.220897-2 8.500785+2 1.224644-2 8.435064+2 1.226906-2 8.419642+2 1.229510-2 8.425149+2 1.234064-2 8.490931+2 1.239180-2 8.632403+2 1.252866-2 9.119065+2 1.259714-2 9.312418+2 1.263918-2 9.402401+2 1.269997-2 9.498465+2 1.276858-2 9.569578+2 1.284439-2 9.616231+2 1.293184-2 9.641600+2 1.303538-2 9.643527+2 1.313430-2 9.623903+2 1.325974-2 9.575535+2 1.339078-2 9.500514+2 1.352427-2 9.399174+2 1.363663-2 9.293287+2 1.374245-2 9.171587+2 1.382833-2 9.051386+2 1.396220-2 8.817026+2 1.409891-2 8.557296+2 1.416736-2 8.462141+2 1.423354-2 8.417019+2 1.429600-2 8.421267+2 1.441091-2 8.511643+2 1.454719-2 8.628004+2 1.481062-2 8.728038+2 1.495159-2 8.843945+2 1.515592-2 9.029241+2 1.523969-2 9.077747+2 1.533292-2 9.111870+2 1.556364-2 9.138379+2 1.585583-2 9.110252+2 1.635874-2 8.987995+2 1.702600-2 8.753350+2 1.774445-2 8.457946+2 1.862671-2 8.073384+2 1.956612-2 7.668341+2 2.095318-2 7.095681+2 2.307391-2 6.309610+2 2.559207-2 5.518824+2 2.886684-2 4.681841+2 3.170426-2 4.099038+2 3.440562-2 3.636420+2 3.744076-2 3.198928+2 4.067612-2 2.803636+2 4.779418-2 2.145220+2 5.351512-2 1.770877+2 5.790402-2 1.542124+2 6.256980-2 1.340114+2 6.760830-2 1.159057+2 7.156604-2 1.036733+2 7.456753-2 9.516693+1 7.684038-2 8.892222+1 7.861863-2 8.393558+1 7.980819-2 8.034547+1 8.032634-2 7.862374+1 8.075949-2 7.704885+1 8.140160-2 7.438740+1 8.256592-2 6.912113+1 8.289505-2 6.806005+1 8.320504-2 6.747031+1 8.354707-2 6.733636+1 8.383699-2 6.761147+1 8.436220-2 6.870567+1 8.520864-2 7.068527+1 8.568438-2 7.142524+1 8.600549-2 7.174795+1 8.642489-2 7.199777+1 8.740601-2 7.209350+1 8.867350-2 7.168043+1 9.016180-2 7.081171+1 9.291920-2 6.873665+1 9.626127-2 6.588321+1 1.004284-1 6.220007+1 1.056448-1 5.770562+1 1.125708-1 5.221031+1 1.223647-1 4.546826+1 1.360887-1 3.782673+1 1.639944-1 2.715191+1 1.994336-1 1.904544+1 2.351206-1 1.405618+1 2.876327-1 9.624929+0 3.630781-1 6.170960+0 4.958960-1 3.377830+0 7.212827-1 1.625366+0 1.173413+0 6.237237-1 2.039158+0 2.083722-1 5.145044+0 3.287445-2 1.546860+1 3.638867-3 4.671441+1 3.990161-4 1.410753+2 4.375151-5 4.260405+2 4.797260-6 1.584893+3 3.466531-7 5.011872+3 3.466531-8 1.584893+4 3.466531-9 5.011872+4 3.46653-10 1.000000+5 8.70753-11 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.491600-6 1.258900-6 2.364000-6 1.584900-6 3.746700-6 1.995300-6 5.938100-6 2.511900-6 9.411200-6 3.162300-6 1.491600-5 3.981100-6 2.364000-5 5.011900-6 3.746600-5 6.309600-6 5.938000-5 7.943300-6 9.411000-5 1.000000-5 1.491500-4 1.258900-5 2.363900-4 1.584900-5 3.746400-4 1.995300-5 5.937500-4 2.511900-5 9.410100-4 3.162300-5 1.491300-3 3.981100-5 2.363000-3 5.011900-5 3.744300-3 6.309600-5 5.933100-3 7.943300-5 9.393300-3 1.000000-4 1.486800-2 1.258900-4 2.353900-2 1.584900-4 3.720800-2 1.995300-4 5.877300-2 2.511900-4 9.262500-2 3.162300-4 1.455300-1 3.981100-4 2.275300-1 5.011900-4 3.531500-1 6.309600-4 5.405300-1 7.943300-4 8.113100-1 1.000000-3 1.187700+0 1.258900-3 1.687300+0 1.584900-3 2.321400+0 1.995300-3 3.103200+0 2.511900-3 4.060900+0 3.162300-3 5.233900+0 3.981100-3 6.660800+0 5.011900-3 8.377600+0 6.309600-3 1.043600+1 7.943300-3 1.281200+1 1.000000-2 1.541000+1 1.258900-2 1.807300+1 1.584900-2 2.076000+1 1.995300-2 2.350600+1 2.511900-2 2.620400+1 3.162300-2 2.870600+1 3.981100-2 3.072700+1 5.011900-2 3.237600+1 6.309600-2 3.337600+1 7.943300-2 3.379500+1 1.000000-1 3.364900+1 1.258900-1 3.296900+1 1.584900-1 3.182500+1 1.995300-1 3.031900+1 2.511900-1 2.856200+1 3.162300-1 2.664400+1 3.981100-1 2.464000+1 5.011900-1 2.260900+1 6.309600-1 2.059600+1 7.943300-1 1.863400+1 1.000000+0 1.674600+1 1.258900+0 1.494900+1 1.584900+0 1.325800+1 1.995300+0 1.168000+1 2.511900+0 1.022300+1 3.162300+0 8.891400+0 3.981100+0 7.687200+0 5.011900+0 6.608700+0 6.309600+0 5.651200+0 7.943300+0 4.809700+0 1.000000+1 4.075100+0 1.258900+1 3.438800+0 1.584900+1 2.891100+0 1.995300+1 2.422600+0 2.511900+1 2.024000+0 3.162300+1 1.686300+0 3.981100+1 1.401600+0 5.011900+1 1.162400+0 6.309600+1 9.620100-1 7.943300+1 7.947500-1 1.000000+2 6.554900-1 1.258900+2 5.398100-1 1.584900+2 4.439300-1 1.995300+2 3.646100-1 2.511900+2 2.991200-1 3.162300+2 2.451200-1 3.981100+2 2.006700-1 5.011900+2 1.641300-1 6.309600+2 1.341200-1 7.943300+2 1.095100-1 1.000000+3 8.934700-2 1.258900+3 7.284400-2 1.584900+3 5.934800-2 1.995300+3 4.832200-2 2.511900+3 3.932000-2 3.162300+3 3.197700-2 3.981100+3 2.599100-2 5.011900+3 2.111400-2 6.309600+3 1.714400-2 7.943300+3 1.391400-2 1.000000+4 1.128700-2 1.258900+4 9.152000-3 1.584900+4 7.417800-3 1.995300+4 6.009800-3 2.511900+4 4.867200-3 3.162300+4 3.940300-3 3.981100+4 3.188800-3 5.011900+4 2.579800-3 6.309600+4 2.086400-3 7.943300+4 1.686800-3 1.000000+5 1.363300-3 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159548-4 3.981072-4 3.976754-4 5.011872-4 5.005049-4 6.309573-4 6.298790-4 7.943282-4 7.926361-4 1.000000-3 9.973458-4 1.258925-3 1.254768-3 1.584893-3 1.578409-3 1.995262-3 1.985170-3 2.511886-3 2.496110-3 3.162278-3 3.137597-3 3.981072-3 3.942469-3 5.011872-3 4.951287-3 6.309573-3 6.214797-3 7.943282-3 7.794919-3 1.000000-2 9.769764-3 1.258925-2 1.223332-2 1.584893-2 1.529951-2 1.995262-2 1.910669-2 2.511886-2 2.381840-2 3.162278-2 2.963292-2 3.981072-2 3.678844-2 5.011872-2 4.556643-2 6.309573-2 5.628783-2 7.943282-2 6.932719-2 1.000000-1 8.512270-2 1.258925-1 1.041481-1 1.584893-1 1.270520-1 1.995262-1 1.544917-1 2.511886-1 1.872437-1 3.162278-1 2.261834-1 3.981072-1 2.723574-1 5.011872-1 3.269628-1 6.309573-1 3.914209-1 7.943282-1 4.673167-1 1.000000+0 5.567005-1 1.258925+0 6.621158-1 1.584893+0 7.864222-1 1.995262+0 9.335207-1 2.511886+0 1.108107+0 3.162278+0 1.315837+0 3.981072+0 1.563837+0 5.011872+0 1.860727+0 6.309573+0 2.216968+0 7.943282+0 2.645423+0 1.000000+1 3.162043+0 1.258925+1 3.786240+0 1.584893+1 4.541303+0 1.995262+1 5.456574+0 2.511886+1 6.567334+0 3.162278+1 7.917321+0 3.981072+1 9.559823+0 5.011872+1 1.156063+1 6.309573+1 1.400035+1 7.943282+1 1.697797+1 1.000000+2 2.061537+1 1.258925+2 2.506269+1 1.584893+2 3.050421+1 1.995262+2 3.716765+1 2.511886+2 4.533282+1 3.162278+2 5.534543+1 3.981072+2 6.762992+1 5.011872+2 8.271331+1 6.309573+2 1.012426+2 7.943282+2 1.240190+2 1.000000+3 1.520282+2 1.258925+3 1.864927+2 1.584893+3 2.289151+2 1.995262+3 2.811721+2 2.511886+3 3.455512+2 3.162278+3 4.249341+2 3.981072+3 5.228241+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739903-9 3.981072-5 4.342184-9 5.011872-5 6.881581-9 6.309573-5 1.090607-8 7.943282-5 1.728011-8 1.000000-4 2.738198-8 1.258925-4 4.339371-8 1.584893-4 6.873846-8 1.995262-4 1.088930-7 2.511886-4 1.724384-7 3.162278-4 2.729282-7 3.981072-4 4.317560-7 5.011872-4 6.823294-7 6.309573-4 1.078341-6 7.943282-4 1.692178-6 1.000000-3 2.654227-6 1.258925-3 4.157144-6 1.584893-3 6.484182-6 1.995262-3 1.009266-5 2.511886-3 1.577594-5 3.162278-3 2.468107-5 3.981072-3 3.860273-5 5.011872-3 6.058490-5 6.309573-3 9.477694-5 7.943282-3 1.483635-4 1.000000-2 2.302355-4 1.258925-2 3.559339-4 1.584893-2 5.494257-4 1.995262-2 8.459345-4 2.511886-2 1.300464-3 3.162278-2 1.989857-3 3.981072-2 3.022281-3 5.011872-2 4.552295-3 6.309573-2 6.807904-3 7.943282-2 1.010563-2 1.000000-1 1.487730-2 1.258925-1 2.174443-2 1.584893-1 3.143729-2 1.995262-1 4.503453-2 2.511886-1 6.394494-2 3.162278-1 9.004434-2 3.981072-1 1.257497-1 5.011872-1 1.742244-1 6.309573-1 2.395364-1 7.943282-1 3.270116-1 1.000000+0 4.432995-1 1.258925+0 5.968096-1 1.584893+0 7.984710-1 1.995262+0 1.061742+0 2.511886+0 1.403779+0 3.162278+0 1.846441+0 3.981072+0 2.417235+0 5.011872+0 3.151146+0 6.309573+0 4.092606+0 7.943282+0 5.297859+0 1.000000+1 6.837957+0 1.258925+1 8.803014+0 1.584893+1 1.130763+1 1.995262+1 1.449605+1 2.511886+1 1.855153+1 3.162278+1 2.370546+1 3.981072+1 3.025089+1 5.011872+1 3.855809+1 6.309573+1 4.909538+1 7.943282+1 6.245486+1 1.000000+2 7.938463+1 1.258925+2 1.008299+2 1.584893+2 1.279851+2 1.995262+2 1.623586+2 2.511886+2 2.058558+2 3.162278+2 2.608823+2 3.981072+2 3.304773+2 5.011872+2 4.184739+2 6.309573+2 5.297147+2 7.943282+2 6.703093+2 1.000000+3 8.479718+2 1.258925+3 1.072433+3 1.584893+3 1.355978+3 1.995262+3 1.714090+3 2.511886+3 2.166335+3 3.162278+3 2.737344+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 9.550000-6 7.701020+6 9.885531-6 6.710241+6 1.122018-5 3.989338+6 1.288250-5 2.244899+6 1.396000-5 1.599210+6 1.396000-5 8.666970+6 1.428894-5 8.528994+6 1.462177-5 8.444443+6 1.500000-5 8.406810+6 1.531087-5 8.418865+6 1.570000-5 8.482986+6 1.598000-5 8.566275+6 1.598000-5 1.261480+7 1.621810-5 1.267612+7 1.635000-5 1.272592+7 1.670000-5 1.289267+7 1.678804-5 1.294258+7 1.710000-5 1.315191+7 1.737801-5 1.336459+7 1.750000-5 1.346943+7 1.798871-5 1.393586+7 1.805600-5 1.400623+7 1.850000-5 1.451432+7 1.900000-5 1.514000+7 1.905461-5 1.521345+7 1.972423-5 1.617922+7 2.018366-5 1.689336+7 2.041738-5 1.727792+7 2.113489-5 1.852939+7 2.150000-5 1.920413+7 2.213400-5 2.041368+7 2.290868-5 2.198709+7 2.344229-5 2.310495+7 2.371374-5 2.368692+7 2.483133-5 2.619245+7 2.500000-5 2.658391+7 2.610000-5 2.912431+7 2.650000-5 3.008186+7 2.660725-5 3.032984+7 2.730000-5 3.192740+7 2.770000-5 3.287056+7 2.818383-5 3.396677+7 2.851018-5 3.469794+7 2.884032-5 3.544582+7 2.917427-5 3.615951+7 2.951209-5 3.686699+7 2.985383-5 3.758930+7 3.019952-5 3.826716+7 3.054921-5 3.892884+7 3.090295-5 3.960294+7 3.126079-5 4.022043+7 3.162278-5 4.081153+7 3.190000-5 4.126611+7 3.230000-5 4.184908+7 3.273407-5 4.243408+7 3.330000-5 4.308770+7 3.350000-5 4.329365+7 3.370000-5 4.349962+7 3.427678-5 4.396820+7 3.450000-5 4.412163+7 3.467369-5 4.424091+7 3.507519-5 4.443662+7 3.548134-5 4.458676+7 3.589219-5 4.465744+7 3.650000-5 4.468950+7 3.672823-5 4.465925+7 3.730000-5 4.451113+7 3.770000-5 4.434091+7 3.830000-5 4.401711+7 3.850000-5 4.387472+7 3.900000-5 4.346362+7 3.935501-5 4.317779+7 3.950000-5 4.303937+7 4.030000-5 4.220213+7 4.120975-5 4.106768+7 4.150000-5 4.068613+7 4.168694-5 4.041847+7 4.229500-5 3.956863+7 4.265795-5 3.903678+7 4.315191-5 3.827298+7 4.350000-5 3.774915+7 4.400000-5 3.697067+7 4.466836-5 3.590574+7 4.500000-5 3.536760+7 4.518559-5 3.507171+7 4.610000-5 3.359507+7 4.677351-5 3.252181+7 4.731513-5 3.165618+7 4.850000-5 2.980921+7 4.900000-5 2.904919+7 5.011872-5 2.739107+7 5.080000-5 2.641427+7 5.188000-5 2.491907+7 5.248075-5 2.413703+7 5.300000-5 2.346828+7 5.500000-5 2.105584+7 5.559043-5 2.039133+7 5.623413-5 1.968440+7 5.821032-5 1.770751+7 6.150000-5 1.485570+7 6.165950-5 1.473107+7 6.500000-5 1.235967+7 6.531306-5 1.216054+7 6.683439-5 1.123124+7 6.830000-5 1.042094+7 6.830000-5 1.236927+7 6.839116-5 1.232538+7 6.890000-5 1.208145+7 6.918310-5 1.194410+7 6.950000-5 1.179026+7 7.030000-5 1.140230+7 7.110000-5 1.102131+7 7.190000-5 1.064965+7 7.244360-5 1.040113+7 7.300000-5 1.015126+7 7.413102-5 9.648796+6 7.500000-5 9.279616+6 7.650000-5 8.675937+6 7.668800-5 8.602988+6 7.673615-5 8.584094+6 7.852356-5 7.909785+6 7.943282-5 7.588372+6 8.035261-5 7.280233+6 8.080000-5 7.132193+6 8.317638-5 6.398840+6 8.500000-5 5.895448+6 8.609938-5 5.608691+6 8.650000-5 5.508610+6 8.734000-5 5.304256+6 8.734000-5 6.073094+6 8.800000-5 5.956048+6 8.850000-5 5.866314+6 8.912509-5 5.753591+6 8.980000-5 5.629249+6 9.000000-5 5.592161+6 9.040000-5 5.518436+6 9.120108-5 5.370710+6 9.225714-5 5.178876+6 9.332543-5 4.989480+6 9.440609-5 4.802775+6 9.450000-5 4.786854+6 9.500000-5 4.700910+6 9.580000-5 4.566632+6 9.720000-5 4.338661+6 9.900000-5 4.061404+6 1.000000-4 3.914210+6 1.010000-4 3.773520+6 1.011579-4 3.751479+6 1.030000-4 3.504455+6 1.050000-4 3.255987+6 1.059254-4 3.147069+6 1.060000-4 3.138561+6 1.071519-4 3.009799+6 1.080000-4 2.918684+6 1.091300-4 2.801108+6 1.091300-4 2.953994+6 1.092100-4 2.948605+6 1.095000-4 2.927372+6 1.098000-4 2.905397+6 1.102000-4 2.875949+6 1.106000-4 2.846453+6 1.109175-4 2.822962+6 1.110000-4 2.817021+6 1.111000-4 2.809771+6 1.117000-4 2.765667+6 1.122018-4 2.729067+6 1.128000-4 2.685845+6 1.135000-4 2.635893+6 1.135000-4 2.736469+6 1.135011-4 2.736416+6 1.136400-4 2.729476+6 1.139500-4 2.713360+6 1.142500-4 2.697780+6 1.143000-4 2.695169+6 1.145500-4 2.681917+6 1.148154-4 2.667737+6 1.150000-4 2.658021+6 1.154000-4 2.635878+6 1.158500-4 2.611200+6 1.161000-4 2.597561+6 1.161449-4 2.595060+6 1.163000-4 2.586597+6 1.167000-4 2.564725+6 1.172000-4 2.537680+6 1.173000-4 2.532260+6 1.178000-4 2.504953+6 1.185000-4 2.467289+6 1.193400-4 2.421957+6 1.200000-4 2.387019+6 1.202264-4 2.375043+6 1.210000-4 2.334367+6 1.216186-4 2.302382+6 1.220000-4 2.282960+6 1.230269-4 2.230996+6 1.235000-4 2.207276+6 1.245000-4 2.157873+6 1.257300-4 2.098935+6 1.257300-4 2.176444+6 1.260000-4 2.163187+6 1.273503-4 2.097135+6 1.275000-4 2.090119+6 1.280000-4 2.066700+6 1.290000-4 2.021739+6 1.294000-4 2.004039+6 1.305000-4 1.957102+6 1.315000-4 1.916428+6 1.320000-4 1.896468+6 1.333521-4 1.844664+6 1.335000-4 1.839201+6 1.340000-4 1.821048+6 1.350000-4 1.786328+6 1.364583-4 1.738277+6 1.365000-4 1.736949+6 1.373000-4 1.712491+6 1.380384-4 1.690704+6 1.390000-4 1.663570+6 1.396368-4 1.647026+6 1.412538-4 1.607089+6 1.415000-4 1.601482+6 1.425000-4 1.579866+6 1.430000-4 1.569467+6 1.435000-4 1.559372+6 1.440000-4 1.549948+6 1.442400-4 1.545664+6 1.450000-4 1.532665+6 1.462177-4 1.513954+6 1.472000-4 1.500681+6 1.485000-4 1.485716+6 1.495000-4 1.475754+6 1.500000-4 1.471620+6 1.520000-4 1.459315+6 1.540000-4 1.453369+6 1.548817-4 1.453117+6 1.560000-4 1.453939+6 1.566751-4 1.455519+6 1.570000-4 1.456489+6 1.584893-4 1.463403+6 1.603245-4 1.475635+6 1.610000-4 1.481494+6 1.621810-4 1.493402+6 1.640590-4 1.514987+6 1.650000-4 1.527670+6 1.655900-4 1.536373+6 1.678804-4 1.573475+6 1.698244-4 1.609846+6 1.720000-4 1.654966+6 1.737801-4 1.695416+6 1.740000-4 1.700648+6 1.780000-4 1.804166+6 1.800000-4 1.861942+6 1.820000-4 1.921986+6 1.850000-4 2.020174+6 1.862087-4 2.061576+6 1.865000-4 2.071503+6 1.905461-4 2.217559+6 1.927525-4 2.302489+6 1.950000-4 2.390380+6 1.972423-4 2.482824+6 1.990000-4 2.556739+6 1.995262-4 2.578489+6 2.018366-4 2.677169+6 2.020000-4 2.684303+6 2.041738-4 2.778869+6 2.080000-4 2.947847+6 2.089296-4 2.989244+6 2.135000-4 3.193076+6 2.137962-4 3.206278+6 2.150000-4 3.257959+6 2.162719-4 3.313381+6 2.190000-4 3.435375+6 2.240000-4 3.648985+6 2.264644-4 3.747963+6 2.290868-4 3.855844+6 2.300000-4 3.892440+6 2.317395-4 3.958572+6 2.344229-4 4.062237+6 2.350000-4 4.083798+6 2.371374-4 4.159817+6 2.380000-4 4.190816+6 2.400000-4 4.263425+6 2.454709-4 4.444753+6 2.480000-4 4.520207+6 2.483133-4 4.529619+6 2.511886-4 4.616624+6 2.520000-4 4.641335+6 2.540000-4 4.694444+6 2.580000-4 4.801702+6 2.600160-4 4.852937+6 2.630268-4 4.923621+6 2.660725-4 4.995616+6 2.722701-4 5.118613+6 2.730000-4 5.133137+6 2.754229-4 5.181477+6 2.830000-4 5.301849+6 2.846200-4 5.325011+6 2.851018-4 5.330842+6 2.917427-4 5.411188+6 2.930000-4 5.424353+6 2.951209-4 5.442147+6 3.000000-4 5.482917+6 3.019952-4 5.496434+6 3.100000-4 5.533180+6 3.126079-4 5.541187+6 3.162278-4 5.544671+6 3.200000-4 5.548353+6 3.235937-4 5.546773+6 3.240000-4 5.546592+6 3.273407-4 5.539387+6 3.311311-4 5.531276+6 3.320000-4 5.529434+6 3.350000-4 5.519413+6 3.388442-4 5.501317+6 3.430000-4 5.481934+6 3.467369-4 5.460913+6 3.470000-4 5.459441+6 3.550000-4 5.404623+6 3.584200-4 5.378340+6 3.584200-4 5.580708+6 3.600000-4 5.560807+6 3.604000-4 5.555830+6 3.625000-4 5.531439+6 3.630781-4 5.525168+6 3.648000-4 5.504484+6 3.670000-4 5.479694+6 3.690000-4 5.458491+6 3.713000-4 5.435688+6 3.715352-4 5.433518+6 3.734100-4 5.414491+6 3.750000-4 5.399348+6 3.758374-4 5.391792+6 3.765000-4 5.385824+6 3.782100-4 5.371297+6 3.782100-4 5.522886+6 3.785000-4 5.518606+6 3.792000-4 5.508666+6 3.801894-4 5.495660+6 3.803000-4 5.494123+6 3.814000-4 5.479639+6 3.825000-4 5.465955+6 3.830000-4 5.460031+6 3.840000-4 5.448497+6 3.850000-4 5.437565+6 3.855000-4 5.432131+6 3.875000-4 5.411476+6 3.890451-4 5.396338+6 3.912000-4 5.374470+6 3.935000-4 5.352467+6 3.935501-4 5.352012+6 3.958000-4 5.331749+6 3.981072-4 5.312155+6 4.000000-4 5.294588+6 4.030000-4 5.267929+6 4.073803-4 5.230978+6 4.090000-4 5.216377+6 4.100000-4 5.207439+6 4.100200-4 5.207262+6 4.120975-4 5.188743+6 4.168694-4 5.147299+6 4.180000-4 5.136650+6 4.240000-4 5.080573+6 4.265795-4 5.056715+6 4.315191-4 5.008861+6 4.320000-4 5.004285+6 4.350000-4 4.975441+6 4.365158-4 4.960963+6 4.415704-4 4.909779+6 4.430000-4 4.895348+6 4.466836-4 4.858394+6 4.518559-4 4.805029+6 4.530000-4 4.793459+6 4.550000-4 4.773231+6 4.570882-4 4.752135+6 4.600000-4 4.723128+6 4.650000-4 4.671182+6 4.677351-4 4.643256+6 4.700000-4 4.620463+6 4.731513-4 4.587845+6 4.786301-4 4.532068+6 4.841724-4 4.477516+6 4.850000-4 4.469509+6 4.897788-4 4.421483+6 4.954502-4 4.365231+6 5.011872-4 4.308108+6 5.040000-4 4.280777+6 5.101000-4 4.222027+6 5.150000-4 4.175930+6 5.188000-4 4.139412+6 5.248075-4 4.082315+6 5.308844-4 4.023880+6 5.370318-4 3.966699+6 5.400000-4 3.939379+6 5.432503-4 3.909694+6 5.559043-4 3.793885+6 5.580000-4 3.774757+6 5.671300-4 3.692159+6 5.671300-4 3.904174+6 5.688529-4 3.888788+6 5.754399-4 3.831141+6 5.821032-4 3.772530+6 5.888437-4 3.714107+6 5.900000-4 3.704281+6 5.956621-4 3.655601+6 6.025596-4 3.598084+6 6.095369-4 3.540759+6 6.100000-4 3.537020+6 6.237348-4 3.426689+6 6.309573-4 3.370327+6 6.382635-4 3.313894+6 6.456542-4 3.258680+6 6.500000-4 3.226437+6 6.531306-4 3.203320+6 6.683439-4 3.092607+6 6.700000-4 3.080934+6 6.731700-4 3.058653+6 6.731700-4 3.100178+6 6.760830-4 3.079978+6 6.839116-4 3.025160+6 6.918310-4 2.971548+6 7.000000-4 2.916834+6 7.079458-4 2.865005+6 7.244360-4 2.761555+6 7.328245-4 2.710641+6 7.413102-4 2.660476+6 7.498942-4 2.609727+6 7.673615-4 2.511762+6 7.762471-4 2.463809+6 7.800000-4 2.443732+6 7.874400-4 2.404394+6 7.874400-4 2.454186+6 7.943282-4 2.418463+6 8.035261-4 2.371304+6 8.100000-4 2.339080+6 8.128305-4 2.325144+6 8.222426-4 2.279846+6 8.317638-4 2.235138+6 8.413951-4 2.190909+6 8.430000-4 2.183675+6 8.511380-4 2.147607+6 8.609938-4 2.105017+6 8.709636-4 2.062810+6 8.810489-4 2.021029+6 8.850000-4 2.005054+6 9.000000-4 1.946315+6 9.015711-4 1.940287+6 9.120108-4 1.900542+6 9.225714-4 1.861800+6 9.332543-4 1.822810+6 9.440609-4 1.784747+6 9.500000-4 1.764397+6 9.549926-4 1.747465+6 9.660509-4 1.710888+6 9.700000-4 1.698139+6 9.772372-4 1.674946+6 1.000000-3 1.604730+6 1.011579-3 1.570487+6 1.023293-3 1.536856+6 1.035142-3 1.503906+6 1.050000-3 1.464237+6 1.059254-3 1.440160+6 1.083927-3 1.378556+6 1.109175-3 1.318705+6 1.110000-3 1.316821+6 1.122018-3 1.289779+6 1.135011-3 1.261217+6 1.150000-3 1.229488+6 1.174898-3 1.178887+6 1.188502-3 1.152645+6 1.190000-3 1.149814+6 1.202264-3 1.126827+6 1.224700-3 1.086267+6 1.230269-3 1.076566+6 1.244515-3 1.052207+6 1.258925-3 1.028221+6 1.273503-3 1.004814+6 1.288250-3 9.820082+5 1.300000-3 9.642910+5 1.318257-3 9.374986+5 1.333521-3 9.160013+5 1.350000-3 8.935160+5 1.364583-3 8.743265+5 1.380384-3 8.541978+5 1.400000-3 8.300710+5 1.412538-3 8.150694+5 1.428894-3 7.959462+5 1.445440-3 7.771928+5 1.462177-3 7.589172+5 1.479108-3 7.411136+5 1.500000-3 7.200173+5 1.513561-3 7.067260+5 1.531087-3 6.899671+5 1.570000-3 6.546766+5 1.584893-3 6.418307+5 1.603245-3 6.265344+5 1.610000-3 6.210470+5 1.640590-3 5.970863+5 1.650000-3 5.898982+5 1.659587-3 5.827136+5 1.698244-3 5.549235+5 1.730000-3 5.335367+5 1.737801-3 5.284525+5 1.757924-3 5.156487+5 1.778279-3 5.031816+5 1.800000-3 4.902834+5 1.819701-3 4.789494+5 1.862087-3 4.557768+5 1.883649-3 4.446143+5 1.905461-3 4.337034+5 1.927525-3 4.230794+5 1.950000-3 4.125494+5 1.972423-3 4.023849+5 2.000000-3 3.904017+5 2.041738-3 3.732704+5 2.065380-3 3.640396+5 2.089296-3 3.550169+5 2.113489-3 3.461474+5 2.264644-3 2.971473+5 2.290868-3 2.897380+5 2.300000-3 2.872122+5 2.300800-3 2.869883+5 2.300800-3 7.559396+5 2.317395-3 7.465352+5 2.344229-3 7.317220+5 2.371374-3 7.172239+5 2.394800-3 7.050708+5 2.394800-3 8.787677+5 2.470000-3 8.656418+5 2.475000-3 8.643197+5 2.483133-3 8.626943+5 2.500000-3 8.578215+5 2.511886-3 8.553647+5 2.540973-3 8.460480+5 2.570396-3 8.354546+5 2.590000-3 8.281967+5 2.600160-3 8.240879+5 2.630268-3 8.124122+5 2.660725-3 7.987244+5 2.680000-3 7.897937+5 2.691535-3 7.841639+5 2.700000-3 7.800881+5 2.740000-3 7.571175+5 2.754229-3 7.473294+5 2.786121-3 7.259532+5 2.818383-3 7.051966+5 2.836900-3 6.936475+5 2.836900-3 8.030014+5 2.851018-3 7.937462+5 2.940000-3 7.382406+5 2.985383-3 7.114280+5 3.019952-3 6.917890+5 3.030000-3 6.862059+5 3.054921-3 6.727095+5 3.090295-3 6.542014+5 3.126079-3 6.361319+5 3.162278-3 6.185715+5 3.273407-3 5.682887+5 3.273900-3 5.680775+5 3.273900-3 6.028449+5 3.311311-3 5.867763+5 3.349654-3 5.709124+5 3.355000-3 5.687510+5 3.388442-3 5.554274+5 3.400000-3 5.509293+5 3.427678-3 5.403639+5 3.467369-3 5.256122+5 3.507519-3 5.112774+5 3.536800-3 5.010847+5 3.536800-3 5.224647+5 3.548134-3 5.185199+5 3.600000-3 5.010166+5 3.630781-3 4.910303+5 3.650000-3 4.849431+5 3.672823-3 4.778090+5 3.715352-3 4.648898+5 3.758374-3 4.523024+5 3.801894-3 4.400773+5 3.845918-3 4.281584+5 3.890451-3 4.164220+5 3.935501-3 4.050254+5 4.027170-3 3.831970+5 4.073803-3 3.726903+5 4.120975-3 3.624805+5 4.168694-3 3.525349+5 4.216965-3 3.428787+5 4.265795-3 3.335014+5 4.315191-3 3.243943+5 4.365158-3 3.154623+5 4.415704-3 3.067339+5 4.466836-3 2.982411+5 4.518559-3 2.899479+5 4.570882-3 2.818879+5 4.623810-3 2.740650+5 4.677351-3 2.664554+5 4.786301-3 2.518228+5 4.897788-3 2.380364+5 4.900000-3 2.377740+5 4.954502-3 2.313713+5 5.011872-3 2.248776+5 5.069907-3 2.185453+5 5.128614-3 2.123348+5 5.308844-3 1.948016+5 5.370318-3 1.893043+5 5.432503-3 1.839708+5 5.559043-3 1.737442+5 5.623413-3 1.688390+5 5.688529-3 1.640800+5 5.754399-3 1.594438+5 5.900000-3 1.498123+5 5.956621-3 1.462858+5 6.025596-3 1.421515+5 6.095369-3 1.381096+5 6.165950-3 1.341693+5 6.237348-3 1.303435+5 6.309573-3 1.265974+5 6.382635-3 1.229564+5 6.531306-3 1.160028+5 6.683439-3 1.094293+5 6.760830-3 1.062803+5 6.839116-3 1.032253+5 7.000000-3 9.730851+4 7.079458-3 9.456365+4 7.328245-3 8.664780+4 7.413102-3 8.414432+4 7.498942-3 8.171690+4 7.500000-3 8.168761+4 7.673615-3 7.707618+4 7.762471-3 7.484529+4 7.800000-3 7.393099+4 7.852356-3 7.267314+4 7.943282-3 7.056087+4 8.000000-3 6.928681+4 8.035261-3 6.851092+4 8.128305-3 6.651966+4 8.300000-3 6.304453+4 8.413951-3 6.087960+4 8.511380-3 5.909882+4 8.609938-3 5.737248+4 8.709636-3 5.569891+4 8.810489-3 5.407446+4 8.912509-3 5.249623+4 9.015711-3 5.096539+4 9.120108-3 4.948039+4 9.225714-3 4.803970+4 9.332543-3 4.663527+4 9.440609-3 4.526786+4 9.549926-3 4.394252+4 9.660509-3 4.265743+4 9.772372-3 4.140312+4 9.885531-3 4.018711+4 1.000000-2 3.900471+4 1.011579-2 3.785825+4 1.023293-2 3.674393+4 1.047129-2 3.461422+4 1.071519-2 3.260602+4 1.083927-2 3.164476+4 1.096478-2 3.070879+4 1.109175-2 2.980163+4 1.148154-2 2.724319+4 1.150000-2 2.712986+4 1.161449-2 2.643846+4 1.202264-2 2.416099+4 1.216186-2 2.344532+4 1.228700-2 2.282212+4 1.228700-2 5.811564+4 1.230269-2 5.792371+4 1.242000-2 5.651649+4 1.244515-2 5.619189+4 1.256000-2 5.474128+4 1.258925-2 5.440017+4 1.288250-2 5.113771+4 1.318257-2 4.807359+4 1.333521-2 4.660988+4 1.348963-2 4.519032+4 1.364583-2 4.381479+4 1.380384-2 4.248046+4 1.396368-2 4.117058+4 1.400000-2 4.088075+4 1.412538-2 3.989934+4 1.425400-2 3.892597+4 1.425400-2 5.423154+4 1.428894-2 5.388291+4 1.445440-2 5.227356+4 1.462177-2 5.071284+4 1.480000-2 4.911975+4 1.482600-2 4.889021+4 1.482600-2 5.650578+4 1.500000-2 5.486314+4 1.513561-2 5.362904+4 1.548817-2 5.060046+4 1.550000-2 5.050283+4 1.566751-2 4.913487+4 1.584893-2 4.771056+4 1.620000-2 4.513711+4 1.621810-2 4.500916+4 1.640590-2 4.371160+4 1.659587-2 4.245248+4 1.678804-2 4.121825+4 1.698244-2 4.001946+4 1.701200-2 3.984148+4 1.717908-2 3.884605+4 1.757924-2 3.659977+4 1.778279-2 3.552725+4 1.798871-2 3.448561+4 1.800000-2 3.442974+4 1.862087-2 3.155483+4 1.883649-2 3.063602+4 1.900000-2 2.996440+4 1.905461-2 2.974301+4 1.927525-2 2.886638+4 1.949845-2 2.801166+4 1.972423-2 2.718282+4 2.000000-2 2.621659+4 2.018366-2 2.559962+4 2.041738-2 2.484272+4 2.089296-2 2.338963+4 2.113489-2 2.269585+4 2.137962-2 2.201974+4 2.162719-2 2.136429+4 2.187762-2 2.072836+4 2.213095-2 2.011188+4 2.238721-2 1.951425+4 2.264644-2 1.893475+4 2.290868-2 1.837130+4 2.317395-2 1.782508+4 2.344229-2 1.729483+4 2.363700-2 1.692365+4 2.371374-2 1.678041+4 2.398833-2 1.627672+4 2.400000-2 1.625579+4 2.426610-2 1.578615+4 2.454709-2 1.531045+4 2.483133-2 1.484905+4 2.540973-2 1.396855+4 2.570396-2 1.354859+4 2.630268-2 1.274699+4 2.660725-2 1.236463+4 2.691535-2 1.199356+4 2.754229-2 1.127968+4 2.818383-2 1.060921+4 2.851018-2 1.028911+4 2.917427-2 9.678165+3 2.951209-2 9.386791+3 3.000000-2 8.987205+3 3.019952-2 8.828322+3 3.054921-2 8.558781+3 3.090295-2 8.297674+3 3.126079-2 8.044358+3 3.162278-2 7.798955+3 3.235937-2 7.330489+3 3.273407-2 7.107137+3 3.311311-2 6.890571+3 3.349654-2 6.680770+3 3.388442-2 6.477428+3 3.427678-2 6.280437+3 3.467369-2 6.089550+3 3.500000-2 5.938637+3 3.507519-2 5.904439+3 3.548134-2 5.723774+3 3.589219-2 5.548772+3 3.672823-2 5.214584+3 3.715352-2 5.055289+3 3.758374-2 4.900048+3 3.801894-2 4.749689+3 3.890451-2 4.462785+3 3.900000-2 4.433302+3 3.935501-2 4.325347+3 4.000000-2 4.138348+3 4.027170-2 4.062902+3 4.168694-2 3.699319+3 4.216965-2 3.585528+3 4.315191-2 3.368574+3 4.365158-2 3.265183+3 4.415704-2 3.164561+3 4.518559-2 2.972587+3 4.623810-2 2.791797+3 4.677351-2 2.705668+3 4.731513-2 2.621673+3 4.786301-2 2.540337+3 4.841724-2 2.461548+3 5.011872-2 2.239611+3 5.069907-2 2.170265+3 5.128614-2 2.103114+3 5.188000-2 2.038015+3 5.248075-2 1.974926+3 5.308844-2 1.913832+3 5.370318-2 1.854667+3 5.500000-2 1.737606+3 5.559043-2 1.687406+3 5.688529-2 1.583787+3 6.025596-2 1.351969+3 6.095369-2 1.309931+3 6.165950-2 1.269176+3 6.237348-2 1.229688+3 6.382635-2 1.154075+3 6.683439-2 1.016752+3 6.760830-2 9.850930+2 6.839116-2 9.543455+2 6.918310-2 9.245757+2 7.161434-2 8.406364+2 7.244360-2 8.142647+2 7.328245-2 7.887045+2 7.585776-2 7.168163+2 7.852356-2 6.515557+2 8.128305-2 5.923362+2 8.222426-2 5.738310+2 8.317638-2 5.559118+2 8.335300-2 5.526711+2 8.335300-2 2.656024+3 8.413951-2 2.592879+3 8.500000-2 2.526079+3 8.550000-2 2.486055+3 8.609938-2 2.445975+3 8.650000-2 2.419696+3 8.810489-2 2.304342+3 8.920000-2 2.229946+3 9.015711-2 2.171316+3 9.120108-2 2.109800+3 9.225714-2 2.050027+3 9.549926-2 1.872416+3 9.660509-2 1.816715+3 9.822090-2 1.739376+3 9.885531-2 1.710254+3 1.000000-1 1.659390+3 1.011580-1 1.609983+3 1.023293-1 1.562058+3 1.035142-1 1.515956+3 1.047129-1 1.471207+3 1.071519-1 1.385655+3 1.083927-1 1.344768+3 1.109175-1 1.266593+3 1.135011-1 1.192981+3 1.148154-1 1.157801+3 1.161449-1 1.123663+3 1.174898-1 1.090536+3 1.188502-1 1.057744+3 1.202264-1 1.025939+3 1.216186-1 9.950588+2 1.230269-1 9.651110+2 1.288250-1 8.540872+2 1.303167-1 8.283941+2 1.333521-1 7.793014+2 1.380384-1 7.110767+2 1.396368-1 6.895803+2 1.445440-1 6.289217+2 1.462177-1 6.099160+2 1.479108-1 5.914924+2 1.513561-1 5.563117+2 1.531088-1 5.395030+2 1.548817-1 5.232043+2 1.603245-1 4.772107+2 1.621810-1 4.627976+2 1.640590-1 4.488210+2 1.659587-1 4.352678+2 1.698244-1 4.093793+2 1.717908-1 3.970212+2 1.737801-1 3.850362+2 1.757924-1 3.734152+2 1.778279-1 3.621463+2 1.798871-1 3.512215+2 1.840772-1 3.303532+2 1.862087-1 3.203941+2 1.883649-1 3.107352+2 1.905461-1 3.013680+2 1.949845-1 2.834741+2 2.000000-1 2.649692+2 2.018366-1 2.586100+2 2.041738-1 2.508179+2 2.065380-1 2.432605+2 2.089296-1 2.359312+2 2.113489-1 2.288237+2 2.137962-1 2.219308+2 2.150000-1 2.186450+2 2.187762-1 2.087667+2 2.213095-1 2.024824+2 2.238721-1 1.963876+2 2.264644-1 1.904794+2 2.317395-1 1.791914+2 2.344229-1 1.738012+2 2.371374-1 1.685734+2 2.398833-1 1.635551+2 2.426610-1 1.586864+2 2.454709-1 1.539628+2 2.483133-1 1.493806+2 2.500000-1 1.467503+2 2.511886-1 1.449358+2 2.570396-1 1.364417+2 2.600160-1 1.323835+2 2.630268-1 1.284510+2 2.660725-1 1.246374+2 2.691535-1 1.209381+2 2.818383-1 1.072093+2 2.851018-1 1.040285+2 2.884032-1 1.009436+2 2.917427-1 9.799332+1 2.951209-1 9.512948+1 2.985383-1 9.234945+1 3.019952-1 8.965082+1 3.054921-1 8.703118+1 3.162278-1 7.962787+1 3.198895-1 7.730300+1 3.235937-1 7.504959+1 3.273407-1 7.286298+1 3.349654-1 6.868105+1 3.388442-1 6.671086+1 3.427678-1 6.479738+1 3.507519-1 6.113366+1 3.548134-1 5.938154+1 3.589219-1 5.767970+1 3.630781-1 5.602664+1 3.672823-1 5.442198+1 3.715352-1 5.286332+1 3.758374-1 5.134932+1 3.801894-1 4.987877+1 3.845918-1 4.845287+1 3.890451-1 4.709056+1 3.935501-1 4.576735+1 3.981072-1 4.448137+1 4.000000-1 4.396245+1 4.027170-1 4.323243+1 4.073803-1 4.201864+1 4.120975-1 4.083968+1 4.168694-1 3.969381+1 4.216965-1 3.858014+1 4.315191-1 3.644579+1 4.365158-1 3.542335+1 4.415705-1 3.444929+1 4.518559-1 3.258498+1 4.570882-1 3.169266+1 4.623810-1 3.082491+1 4.677351-1 2.998094+1 4.731513-1 2.916011+1 4.841724-1 2.758534+1 4.954502-1 2.609567+1 5.011872-1 2.539615+1 5.069907-1 2.471575+1 5.128614-1 2.405567+1 5.188000-1 2.341325+1 5.248075-1 2.278840+1 5.370318-1 2.158834+1 5.495409-1 2.045152+1 5.559043-1 1.990577+1 5.623413-1 1.937488+1 5.688529-1 1.886923+1 5.754399-1 1.837718+1 5.821032-1 1.789799+1 5.888437-1 1.743241+1 5.956621-1 1.697927+1 6.000000-1 1.669976+1 6.095369-1 1.610807+1 6.165950-1 1.568939+1 6.237348-1 1.528180+1 6.309573-1 1.488487+1 6.382635-1 1.450823+1 6.531306-1 1.378333+1 6.606935-1 1.343458+1 6.683439-1 1.309550+1 6.760830-1 1.276521+1 6.839117-1 1.244327+1 6.918310-1 1.212959+1 6.998420-1 1.182388+1 7.079458-1 1.152614+1 7.161434-1 1.124263+1 7.244360-1 1.096609+1 7.328245-1 1.069637+1 7.498942-1 1.017667+1 7.585776-1 9.927048+0 7.673615-1 9.683729+0 7.762471-1 9.446415+0 7.852356-1 9.214955+0 7.943282-1 8.989322+0 8.035261-1 8.769216+0 8.317638-1 8.154690+0 8.413951-1 7.959580+0 8.609938-1 7.584340+0 8.709636-1 7.403414+0 8.810489-1 7.227153+0 8.912509-1 7.055150+0 9.120108-1 6.723332+0 9.225714-1 6.563326+0 9.332543-1 6.410743+0 9.440609-1 6.261841+0 9.549926-1 6.116907+0 9.660509-1 5.975474+0 9.772372-1 5.837444+0 9.885531-1 5.702602+0 1.000000+0 5.571005+0 1.011579+0 5.442451+0 1.022000+0 5.333445+0 1.023293+0 5.320153+0 1.035142+0 5.200642+0 1.047129+0 5.083807+0 1.059254+0 4.969607+0 1.071519+0 4.857976+0 1.083927+0 4.749181+0 1.096478+0 4.642829+0 1.109175+0 4.538940+0 1.122018+0 4.437459+0 1.135011+0 4.338265+0 1.148154+0 4.241291+0 1.161449+0 4.146487+0 1.174898+0 4.053818+0 1.202264+0 3.878778+0 1.216186+0 3.794179+0 1.230269+0 3.711426+0 1.244515+0 3.630717+0 1.250000+0 3.600362+0 1.258925+0 3.551788+0 1.273503+0 3.474569+0 1.288250+0 3.399109+0 1.303167+0 3.325331+0 1.318257+0 3.253154+0 1.333521+0 3.184389+0 1.364583+0 3.051184+0 1.396368+0 2.923553+0 1.412538+0 2.861952+0 1.445440+0 2.742636+0 1.462177+0 2.684930+0 1.479108+0 2.628437+0 1.500000+0 2.561241+0 1.513561+0 2.520187+0 1.531087+0 2.468627+0 1.566751+0 2.368650+0 1.621810+0 2.226674+0 1.640590+0 2.181273+0 1.659587+0 2.136835+0 1.698244+0 2.050673+0 1.717908+0 2.010115+0 1.757924+0 1.931489+0 1.798871+0 1.856198+0 1.819701+0 1.819660+0 1.840772+0 1.783849+0 1.862087+0 1.748772+0 1.905461+0 1.680691+0 1.927525+0 1.648654+0 1.972423+0 1.586499+0 2.000000+0 1.550289+0 2.018366+0 1.526902+0 2.044000+0 1.495192+0 2.065380+0 1.469547+0 2.089296+0 1.441706+0 2.162719+0 1.361323+0 2.213095+0 1.311468+0 2.290868+0 1.240172+0 2.317395+0 1.217351+0 2.344229+0 1.194950+0 2.371374+0 1.172961+0 2.398833+0 1.151381+0 2.426610+0 1.130213+0 2.511886+0 1.069027+0 2.570396+0 1.031073+0 2.660725+0 9.767216-1 2.691535+0 9.593055-1 2.722701+0 9.422004-1 2.754229+0 9.253997-1 2.786121+0 9.089022-1 2.818383+0 8.927109-1 2.884032+0 8.611953-1 2.917427+0 8.462959-1 2.951209+0 8.316542-1 2.985383+0 8.172854-1 3.054921+0 7.892899-1 3.090295+0 7.757029-1 3.126079+0 7.623497-1 3.162278+0 7.492287-1 3.198895+0 7.363441-1 3.311311+0 6.990125-1 3.349654+0 6.873274-1 3.388442+0 6.758375-1 3.467369+0 6.534598-1 3.548134+0 6.318237-1 3.589219+0 6.213103-1 3.630781+0 6.109716-1 3.672823+0 6.008071-1 3.715352+0 5.908195-1 3.845918+0 5.618479-1 3.890451+0 5.527630-1 3.935501+0 5.438249-1 4.027170+0 5.264024-1 4.120975+0 5.095385-1 4.168694+0 5.013365-1 4.216965+0 4.932665-1 4.265795+0 4.853265-1 4.315191+0 4.775157-1 4.365158+0 4.698366-1 4.518559+0 4.475370-1 4.570882+0 4.405372-1 4.623810+0 4.336470-1 4.731513+0 4.202053-1 4.841724+0 4.071807-1 4.897788+0 4.008419-1 4.954502+0 3.946016-1 5.011872+0 3.884586-1 5.069907+0 3.824123-1 5.128614+0 3.764646-1 5.308844+0 3.591747-1 5.370318+0 3.537379-1 5.432503+0 3.483835-1 5.559043+0 3.379296-1 5.754399+0 3.228344-1 5.821032+0 3.179699-1 5.888437+0 3.131787-1 5.956621+0 3.084598-1 6.025596+0 3.038127-1 6.095369+0 2.992391-1 6.309573+0 2.859299-1 6.382635+0 2.817369-1 6.456542+0 2.776055-1 6.606934+0 2.695331-1 6.918310+0 2.540861-1 7.000000+0 2.503041-1 7.079458+0 2.467206-1 7.161434+0 2.431183-1 7.244360+0 2.395691-1 7.328245+0 2.360744-1 7.585776+0 2.258952-1 7.673615+0 2.226870-1 7.762471+0 2.195245-1 8.000000+0 2.114659-1 8.317638+0 2.014923-1 8.413951+0 1.986431-1 8.511380+0 1.958340-1 8.609938+0 1.930647-1 8.709636+0 1.903351-1 8.810489+0 1.876457-1 9.225714+0 1.772649-1 9.440609+0 1.724086-1 9.549926+0 1.700306-1 9.885531+0 1.631000-1 1.023293+1 1.564521-1 1.035142+1 1.543031-1 1.047129+1 1.521835-1 1.059254+1 1.500934-1 1.135011+1 1.381507-1 1.200000+1 1.294180-1 1.216186+1 1.274004-1 1.244515+1 1.240105-1 1.258925+1 1.223498-1 1.273503+1 1.207170-1 1.364583+1 1.113687-1 1.600000+1 9.278681-2 1.603245+1 9.257145-2 1.621810+1 9.135843-2 1.698244+1 8.668030-2 2.089296+1 6.877615-2 2.113489+1 6.789828-2 2.238721+1 6.368842-2 2.754229+1 5.081726-2 2.786121+1 5.018423-2 2.800000+1 4.991357-2 3.054921+1 4.540993-2 3.845918+1 3.552559-2 3.890451+1 3.509222-2 3.935501+1 3.466417-2 3.981072+1 3.424171-2 4.000000+1 3.406923-2 4.315191+1 3.143178-2 5.888437+1 2.270629-2 6.000000+1 2.226483-2 6.025596+1 2.216591-2 6.095369+1 2.190057-2 6.165950+1 2.163860-2 6.237348+1 2.137985-2 6.683439+1 1.989373-2 9.225714+1 1.428194-2 9.440609+1 1.394783-2 9.660509+1 1.362155-2 9.772372+1 1.346136-2 9.885531+1 1.330310-2 1.000000+2 1.314687-2 1.148154+2 1.140935-2 1.778279+2 7.313056-3 1.798871+2 7.227957-3 1.819701+2 7.143853-3 1.840772+2 7.060745-3 1.862087+2 6.978620-3 1.883649+2 6.897536-3 2.213095+2 5.856539-3 3.548134+2 3.638638-3 3.589219+2 3.596644-3 3.630781+2 3.555133-3 3.672823+2 3.514109-3 3.715352+2 3.473563-3 3.758374+2 3.433513-3 4.415704+2 2.918977-3 1.412538+3 9.091511-4 1.428894+3 8.987117-4 1.445440+3 8.883920-4 1.462177+3 8.781918-4 1.479108+3 8.681094-4 1.496236+3 8.581460-4 1.757924+3 7.300963-4 1.000000+5 1.281990-5 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 9.550000-6 9.550000-6 1.396000-5 9.550000-6 1.396000-5 1.314628-5 1.570000-5 1.345566-5 1.598000-5 1.349692-5 1.598000-5 1.429383-5 1.972423-5 1.447393-5 2.500000-5 1.459401-5 4.120975-5 1.479336-5 5.821032-5 1.484279-5 6.830000-5 1.484922-5 6.830000-5 1.707785-5 7.030000-5 1.732447-5 7.300000-5 1.754558-5 7.673615-5 1.774777-5 8.317638-5 1.796950-5 8.734000-5 1.807445-5 8.734000-5 2.011071-5 8.980000-5 2.061651-5 9.225714-5 2.099772-5 9.580000-5 2.140955-5 1.011579-4 2.185197-5 1.091300-4 2.231746-5 1.091300-4 2.294312-5 1.128000-4 2.350067-5 1.135000-4 2.359037-5 1.135000-4 2.407315-5 1.167000-4 2.471465-5 1.210000-4 2.538838-5 1.257300-4 2.599289-5 1.257300-4 2.664304-5 1.396368-4 2.809052-5 1.495000-4 2.930822-5 1.655900-4 3.148410-5 1.740000-4 3.241470-5 1.820000-4 3.309037-5 1.905461-4 3.361673-5 2.020000-4 3.408580-5 2.190000-4 3.447737-5 2.454709-4 3.473907-5 3.019952-4 3.488157-5 3.584200-4 3.488017-5 3.584200-4 3.595809-5 3.715352-4 3.576706-5 3.782100-4 3.577162-5 3.782100-4 3.664061-5 3.875000-4 3.654822-5 4.030000-4 3.670805-5 5.671300-4 3.962442-5 5.671300-4 4.234358-5 6.700000-4 4.435731-5 6.731700-4 4.441064-5 6.731700-4 4.512078-5 7.874400-4 4.712394-5 7.874400-4 4.844911-5 9.332543-4 5.086555-5 1.083927-3 5.301416-5 1.273503-3 5.528618-5 1.479108-3 5.736062-5 1.757924-3 5.966367-5 2.065380-3 6.172731-5 2.300800-3 6.306028-5 2.300800-3 9.112499-5 2.394800-3 9.164974-5 2.394800-3 9.523336-5 2.540973-3 9.671592-5 2.700000-3 9.762689-5 2.836900-3 9.772515-5 2.836900-3 1.044396-4 3.273900-3 1.053946-4 3.273900-3 1.089786-4 3.536800-3 1.098093-4 3.536800-3 1.131780-4 4.623810-3 1.170715-4 6.095369-3 1.212158-4 7.852356-3 1.250672-4 1.011579-2 1.288726-4 1.228700-2 1.317133-4 1.228700-2 1.674143-4 1.425400-2 1.679918-4 1.425400-2 1.757469-4 1.482600-2 1.759169-4 1.482600-2 1.887627-4 2.041738-2 1.933978-4 2.818383-2 1.980032-4 3.935501-2 2.028692-4 5.370318-2 2.072698-4 7.328245-2 2.114681-4 8.335300-2 2.131115-4 8.335300-2 1.945319-4 2.113489-1 1.957900-4 5.821032-1 1.965428-4 1.000000+5 1.966678-4 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 9.550000-6 0.0 6.830000-5 0.0 6.830000-5 8.42810-11 6.890000-5 8.74496-11 6.950000-5 9.02768-11 7.030000-5 9.35975-11 7.110000-5 9.64577-11 7.190000-5 9.89613-11 7.300000-5 1.01939-10 7.413102-5 1.04663-10 7.500000-5 1.06485-10 7.673615-5 1.09560-10 7.852356-5 1.12349-10 8.080000-5 1.15257-10 8.317638-5 1.17951-10 8.734000-5 1.21958-10 8.734000-5 2.95503-10 8.800000-5 3.07890-10 8.850000-5 3.16493-10 8.912509-5 3.26450-10 9.040000-5 3.44523-10 9.120108-5 3.54561-10 9.225714-5 3.66417-10 9.332543-5 3.77135-10 9.500000-5 3.91597-10 9.580000-5 3.98120-10 9.720000-5 4.08106-10 9.900000-5 4.19162-10 1.011579-4 4.30388-10 1.030000-4 4.38927-10 1.060000-4 4.50109-10 1.091300-4 4.60364-10 1.091300-4 6.39668-10 1.098000-4 6.66254-10 1.111000-4 7.11475-10 1.122018-4 7.45342-10 1.135000-4 7.81729-10 1.135000-4 7.66569-10 1.154000-4 8.06335-10 1.173000-4 8.42008-10 1.200000-4 8.86361-10 1.235000-4 9.36570-10 1.257300-4 9.65810-10 1.257300-4 9.68370-10 1.350000-4 1.081623-9 1.380384-4 1.123323-9 1.415000-4 1.176522-9 1.450000-4 1.238211-9 1.472000-4 1.281407-9 1.500000-4 1.341804-9 1.540000-4 1.433343-9 1.640590-4 1.675897-9 1.678804-4 1.761620-9 1.720000-4 1.845686-9 1.740000-4 1.883578-9 1.800000-4 1.985558-9 1.862087-4 2.069977-9 1.927525-4 2.139716-9 1.995262-4 2.193423-9 2.041738-4 2.222358-9 2.089296-4 2.245292-9 2.190000-4 2.278330-9 2.317395-4 2.301065-9 2.520000-4 2.315816-9 2.851018-4 2.319887-9 3.584200-4 2.304066-9 3.584200-4 2.387873-9 3.715352-4 2.370061-9 3.782100-4 2.370487-9 3.782100-4 3.850276-9 3.792000-4 3.794400-9 3.803000-4 3.743200-9 3.825000-4 3.663665-9 3.850000-4 3.600133-9 3.875000-4 3.554367-9 3.890451-4 3.533692-9 3.912000-4 3.514155-9 3.935501-4 3.503072-9 3.958000-4 3.501571-9 4.000000-4 3.519381-9 4.030000-4 3.543629-9 4.120975-4 3.641947-9 4.265795-4 3.819866-9 4.550000-4 4.194363-9 4.850000-4 4.577917-9 5.432503-4 5.373255-9 5.671300-4 5.687207-9 5.671300-4 8.864605-9 6.456542-4 1.026178-8 6.731700-4 1.069164-8 6.731700-4 1.197585-8 7.673615-4 1.363125-8 7.874400-4 1.395501-8 7.874400-4 1.587787-8 8.709636-4 1.739082-8 9.700000-4 1.905968-8 1.050000-3 2.032336-8 1.135011-3 2.158906-8 1.273503-3 2.344579-8 1.380384-3 2.476739-8 1.531087-3 2.647624-8 1.737801-3 2.855403-8 1.950000-3 3.045161-8 2.113489-3 3.177896-8 2.300800-3 3.315628-8 2.300800-3 3.423056-8 2.394800-3 3.449090-8 2.394800-3 1.288563-5 2.470000-3 1.485633-5 2.483133-3 1.514393-5 2.511886-3 1.585710-5 2.540973-3 1.664408-5 2.600160-3 1.804812-5 2.630268-3 1.871767-5 2.660725-3 1.925262-5 2.691535-3 1.971859-5 2.700000-3 1.983597-5 2.740000-3 2.013504-5 2.836900-3 2.009262-5 2.836900-3 1.959248-5 3.273900-3 1.939727-5 3.273900-3 2.140621-5 3.536800-3 2.148494-5 3.536800-3 2.173722-5 4.216965-3 2.196666-5 5.432503-3 2.227098-5 7.800000-3 2.267966-5 1.150000-2 2.309778-5 1.228700-2 2.315353-5 1.228700-2 2.091943-3 1.425400-2 2.077108-3 1.425400-2 2.936033-3 1.482600-2 2.940368-3 1.482600-2 3.062061-3 1.949845-2 3.094988-3 2.917427-2 3.118555-3 4.841724-2 3.126221-3 8.335300-2 3.121543-3 8.335300-2 5.885867-2 9.885531-2 5.931555-2 1.288250-1 5.985684-2 1.949845-1 6.034988-2 3.630781-1 6.075563-2 9.120108-1 6.128743-2 1.000000+5 6.131550-2 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 9.550000-6 0.0 1.396000-5 4.410000-6 1.396000-5 8.137233-7 1.428894-5 1.078387-6 1.500000-5 1.658521-6 1.531087-5 1.916633-6 1.598000-5 2.483077-6 1.598000-5 1.686172-6 1.737801-5 3.003351-6 1.905461-5 4.604686-6 2.150000-5 6.974336-6 2.851018-5 1.386426-5 4.500000-5 3.018515-5 6.830000-5 5.345078-5 6.830000-5 5.122206-5 7.300000-5 5.545432-5 8.500000-5 6.698634-5 8.734000-5 6.926543-5 8.734000-5 6.722899-5 9.225714-5 7.125905-5 1.011579-4 7.930550-5 1.091300-4 8.681208-5 1.091300-4 8.618624-5 1.135000-4 8.990885-5 1.135000-4 8.942608-5 1.216186-4 9.614422-5 1.257300-4 9.973614-5 1.257300-4 9.908599-5 1.485000-4 1.193236-4 1.720000-4 1.397850-4 1.905461-4 1.569273-4 2.240000-4 1.894482-4 3.584200-4 3.235375-4 3.584200-4 3.224595-4 3.782100-4 3.424360-4 3.782100-4 3.415655-4 5.671300-4 5.274999-4 5.671300-4 5.247776-4 6.731700-4 6.287487-4 6.731700-4 6.280372-4 7.874400-4 7.403021-4 7.874400-4 7.389750-4 1.659587-3 1.600654-3 2.300800-3 2.237707-3 2.300800-3 2.209641-3 2.394800-3 2.303116-3 2.394800-3 2.286681-3 2.786121-3 2.668288-3 2.836900-3 2.719082-3 2.836900-3 2.712868-3 3.273900-3 3.149108-3 3.273900-3 3.143515-3 3.536800-3 3.405506-3 3.536800-3 3.401885-3 1.228700-2 1.213213-2 1.228700-2 1.002764-2 1.425400-2 1.200890-2 1.425400-2 1.114222-2 1.482600-2 1.170972-2 1.482600-2 1.157518-2 2.951209-2 2.619435-2 8.335300-2 8.001835-2 8.335300-2 2.429980-2 8.609938-2 2.693999-2 9.549926-2 3.605729-2 1.230269-1 6.304869-2 2.065380-1 1.459443-1 2.660725+0 2.599207+0 1.000000+5 9.999994+4 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 8.335300-2 2.103353+3 8.500000-2 2.002500+3 8.550000-2 1.970914+3 8.650000-2 1.920886+3 8.920000-2 1.771850+3 9.225714-2 1.632733+3 1.023293-1 1.248755+3 1.174898-1 8.768368+2 1.380384-1 5.743020+2 2.371374-1 1.374117+2 2.884032-1 8.245924+1 3.349654-1 5.619214+1 3.845918-1 3.969798+1 4.365158-1 2.905737+1 4.954502-1 2.143250+1 5.623413-1 1.593266+1 6.309573-1 1.225429+1 7.079458-1 9.501353+0 8.035261-1 7.239356+0 9.225714-1 5.424929+0 1.011579+0 4.500153+0 1.174898+0 3.352762+0 1.318257+0 2.690320+0 1.500000+0 2.117735+0 1.698244+0 1.695524+0 1.905461+0 1.389633+0 2.162719+0 1.125565+0 2.511886+0 8.838850-1 2.884032+0 7.120462-1 3.311311+0 5.779445-1 3.845918+0 4.645416-1 4.518559+0 3.700259-1 5.308844+0 2.969661-1 6.309573+0 2.364077-1 7.585776+0 1.867716-1 9.225714+0 1.465645-1 1.135011+1 1.142234-1 1.364583+1 9.208234-2 1.698244+1 7.167016-2 2.238721+1 5.265955-2 3.054921+1 3.754535-2 4.315191+1 2.598867-2 6.683439+1 1.644892-2 1.148154+2 9.433511-3 2.213095+2 4.842466-3 4.415704+2 2.413579-3 1.757924+3 6.037067-4 1.000000+5 1.060100-5 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 8.335300-2 1.896500-4 1.000000+5 1.896500-4 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.335300-2 7.350400-2 1.000000+5 7.350400-2 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.335300-2 9.659350-3 1.000000+5 9.999993+4 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.482600-2 7.615570+3 1.550000-2 7.080660+3 1.584893-2 6.798725+3 1.659587-2 6.304434+3 1.800000-2 5.441140+3 1.927525-2 4.828785+3 2.041738-2 4.349187+3 2.264644-2 3.574738+3 2.400000-2 3.197580+3 3.000000-2 2.050820+3 3.507519-2 1.481349+3 3.900000-2 1.183238+3 4.677351-2 7.954451+2 5.500000-2 5.525520+2 6.237348-2 4.137667+2 7.161434-2 2.995257+2 8.413951-2 2.039367+2 1.000000-1 1.340504+2 1.202264-1 8.505430+1 1.513561-1 4.776300+1 2.600160-1 1.215548+1 3.198895-1 7.244465+0 3.801894-1 4.739976+0 4.415705-1 3.305000+0 5.069907-1 2.387566+0 5.821032-1 1.738043+0 6.606935-1 1.308557+0 7.498942-1 9.922450-1 8.413951-1 7.769502-1 9.440609-1 6.128305-1 1.071519+0 4.760847-1 1.230269+0 3.638172-1 1.396368+0 2.864278-1 1.566751+0 2.320086-1 1.757924+0 1.892215-1 1.972423+0 1.554204-1 2.290868+0 1.214607-1 2.660725+0 9.566728-2 3.054921+0 7.730663-2 3.548134+0 6.188645-2 4.120975+0 4.990721-2 4.841724+0 3.988331-2 5.754399+0 3.162100-2 6.918310+0 2.488751-2 8.317638+0 1.973526-2 1.023293+1 1.532343-2 1.258925+1 1.198597-2 1.621810+1 8.951383-3 2.113489+1 6.652559-3 2.800000+1 4.889600-3 4.000000+1 3.337900-3 6.237348+1 2.094840-3 9.885531+1 1.303362-3 1.862087+2 6.837290-4 3.715352+2 3.404054-4 1.479108+3 8.508061-5 1.000000+5 1.256700-6 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.482600-2 2.712300-4 1.000000+5 2.712300-4 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.482600-2 3.843300-3 1.000000+5 3.843300-3 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.482600-2 1.071147-2 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.425400-2 1.530557+4 1.480000-2 1.398200+4 1.620000-2 1.112500+4 1.900000-2 7.367500+3 2.113489-2 5.545100+3 2.691535-2 2.870200+3 3.019952-2 2.078900+3 3.500000-2 1.371600+3 4.365158-2 7.266300+2 5.370318-2 3.965700+2 6.760830-2 2.006500+2 9.015711-2 8.492600+1 1.462177-1 1.993469+1 1.840772-1 1.006452+1 2.238721-1 5.671362+0 2.630268-1 3.561499+0 3.054921-1 2.329110+0 3.507519-1 1.585329+0 3.981072-1 1.122126+0 4.518559-1 8.002808-1 5.069907-1 5.928151-1 5.688529-1 4.424033-1 6.309573-1 3.422809-1 6.998420-1 2.669133-1 7.852356-1 2.041010-1 8.810489-1 1.572698-1 9.549926-1 1.313975-1 1.011579+0 1.162226-1 1.096478+0 9.861792-2 1.202264+0 8.232998-2 1.318257+0 6.921312-2 1.479108+0 5.615086-2 1.717908+0 4.299354-2 1.927525+0 3.524891-2 2.213095+0 2.803789-2 2.570396+0 2.204646-2 2.951209+0 1.778282-2 3.388442+0 1.445218-2 3.935501+0 1.162941-2 4.623810+0 9.273685-3 5.432503+0 7.450367-3 6.456542+0 5.936845-3 7.762471+0 4.694649-3 9.549926+0 3.635675-3 1.216186+1 2.723447-3 1.603245+1 1.979433-3 2.089296+1 1.470626-3 2.754229+1 1.086425-3 3.935501+1 7.411923-4 6.095369+1 4.683120-4 9.660509+1 2.912560-4 1.819701+2 1.527560-4 3.630781+2 7.603962-5 1.445440+3 1.900370-5 1.000000+5 2.742900-7 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.425400-2 1.954700-4 1.000000+5 1.954700-4 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.425400-2 5.120500-3 1.000000+5 5.120500-3 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.425400-2 8.938030-3 1.000000+5 9.999999+4 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.228700-2 3.529352+4 1.242000-2 3.433113+4 1.256000-2 3.319949+4 1.380384-2 2.565983+4 1.548817-2 1.863083+4 1.701200-2 1.432481+4 1.905461-2 1.033883+4 2.371374-2 5.463094+3 3.000000-2 2.700168+3 3.715352-2 1.402890+3 4.518559-2 7.629694+2 5.559043-2 3.966768+2 6.918310-2 1.972120+2 9.120108-2 8.087747+1 1.479108-1 1.688730+1 1.778279-1 9.344895+0 2.150000-1 5.115341+0 2.500000-1 3.192389+0 2.851018-1 2.131777+0 3.235937-1 1.454828+0 3.630781-1 1.035082+0 4.073803-1 7.418898-1 4.518559-1 5.536130-1 5.011872-1 4.159905-1 5.559043-1 3.149041-1 6.165950-1 2.403151-1 6.839117-1 1.848186-1 8.035261-1 1.242280-1 8.709636-1 1.025863-1 9.332543-1 8.766062-2 9.885531-1 7.733904-2 1.071519+0 6.546417-2 1.174898+0 5.453875-2 1.288250+0 4.577405-2 1.445440+0 3.708948-2 1.717908+0 2.725330-2 1.927525+0 2.234147-2 2.213095+0 1.776780-2 2.570396+0 1.396936-2 2.951209+0 1.126680-2 3.388442+0 9.156351-3 3.935501+0 7.367800-3 4.623810+0 5.875239-3 5.432503+0 4.720058-3 6.456542+0 3.761181-3 7.762471+0 2.974268-3 9.549926+0 2.303337-3 1.216186+1 1.725341-3 1.603245+1 1.254008-3 2.113489+1 9.198848-4 2.800000+1 6.761200-4 3.981072+1 4.638655-4 6.165950+1 2.931603-4 9.772372+1 1.823570-4 1.862087+2 9.454305-5 3.715352+2 4.707011-5 1.479108+3 1.176420-5 1.000000+5 1.737700-7 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.228700-2 1.905000-4 1.000000+5 1.905000-4 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.228700-2 3.429700-3 1.000000+5 3.429700-3 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.228700-2 8.666800-3 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 3.536800-3 2.138006+4 3.801894-3 1.965418+4 4.027170-3 1.816001+4 4.315191-3 1.659289+4 4.518559-3 1.553354+4 5.900000-3 1.040862+4 6.309573-3 9.348002+3 7.800000-3 6.572860+3 8.709636-3 5.422956+3 1.011579-2 4.155979+3 1.216186-2 2.957536+3 1.380384-2 2.324609+3 1.584893-2 1.778450+3 1.905461-2 1.232354+3 2.264644-2 8.657198+2 2.691535-2 6.029554+2 3.162278-2 4.269339+2 3.715352-2 3.000809+2 4.365158-2 2.094235+2 5.128614-2 1.451250+2 6.095369-2 9.721314+1 7.244360-2 6.462127+1 8.609938-2 4.265153+1 1.035142-1 2.716687+1 1.303167-1 1.533122+1 1.862087-1 6.252467+0 2.660725-1 2.542976+0 3.273407-1 1.518485+0 3.890451-1 9.953785-1 4.518559-1 6.955166-1 5.188000-1 5.031751-1 5.888437-1 3.764982-1 6.683439-1 2.838013-1 7.585776-1 2.154971-1 8.709636-1 1.608638-1 9.660509-1 1.300453-1 1.109175+0 9.885910-2 1.273503+0 7.569481-2 1.445440+0 5.972211-2 1.640590+0 4.748695-2 1.840772+0 3.883539-2 2.065380+0 3.199693-2 2.398833+0 2.507007-2 2.786121+0 1.979198-2 3.162278+0 1.631171-2 3.672823+0 1.308100-2 4.315191+0 1.039656-2 5.069907+0 8.326376-3 6.025596+0 6.615172-3 7.244360+0 5.216425-3 8.709636+0 4.144363-3 1.059254+1 3.268213-3 1.258925+1 2.664150-3 1.621810+1 1.989640-3 2.113489+1 1.478740-3 2.786121+1 1.092667-3 3.935501+1 7.548130-4 6.095369+1 4.769196-4 9.660509+1 2.966120-4 1.840772+2 1.537596-4 3.672823+2 7.654508-5 1.462177+3 1.913041-5 1.000000+5 2.793400-7 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 3.536800-3 1.921300-4 1.000000+5 1.921300-4 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.536800-3 2.765000-5 1.000000+5 2.765000-5 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.536800-3 3.317020-3 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 3.273900-3 3.476732+4 3.355000-3 3.397957+4 3.600000-3 3.131020+4 3.845918-3 2.890872+4 4.120975-3 2.635653+4 4.623810-3 2.230972+4 5.069907-3 1.940515+4 5.432503-3 1.738179+4 5.754399-3 1.577907+4 6.839116-3 1.161246+4 7.328245-3 1.021383+4 8.413951-3 7.803388+3 9.225714-3 6.485787+3 1.047129-2 4.975719+3 1.150000-2 4.070260+3 1.318257-2 3.005970+3 1.462177-2 2.373544+3 1.678804-2 1.717638+3 1.927525-2 1.231198+3 2.162719-2 9.267720+2 2.454709-2 6.738043+2 2.818383-2 4.723532+2 3.273407-2 3.188545+2 3.801894-2 2.135821+2 4.415704-2 1.420308+2 5.188000-2 9.086589+1 6.165950-2 5.589692+1 7.585776-2 3.093692+1 9.822090-2 1.466520+1 1.737801-1 2.784234+0 2.187762-1 1.433603+0 2.600160-1 8.771708-1 3.054921-1 5.586010-1 3.507519-1 3.820083-1 4.000000-1 2.679969-1 4.518559-1 1.942205-1 5.069907-1 1.442466-1 5.688529-1 1.078829-1 6.309573-1 8.360910-2 6.998420-1 6.522571-2 7.762471-1 5.123051-2 8.709636-1 3.942585-2 9.440609-1 3.303990-2 1.022000+0 2.797046-2 1.122018+0 2.318293-2 1.244515+0 1.897772-2 1.396368+0 1.531853-2 1.659587+0 1.122589-2 1.862087+0 9.185231-3 2.089296+0 7.571547-3 2.426610+0 5.936032-3 2.818383+0 4.689879-3 3.198895+0 3.867849-3 3.715352+0 3.103569-3 4.365158+0 2.468051-3 5.128614+0 1.977653-3 6.095369+0 1.571985-3 7.328245+0 1.240173-3 8.810489+0 9.857446-4 1.059254+1 7.884445-4 1.258925+1 6.427006-4 1.621810+1 4.799866-4 2.113489+1 3.567222-4 2.800000+1 2.621900-4 3.981072+1 1.798818-4 6.165950+1 1.136871-4 9.772372+1 7.071679-5 1.862087+2 3.666295-5 3.715352+2 1.825332-5 1.479108+3 4.562176-6 1.000000+5 6.738800-8 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 3.273900-3 1.675400-4 1.000000+5 1.675400-4 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.273900-3 5.423100-5 1.000000+5 5.423100-5 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.273900-3 3.052129-3 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.836900-3 1.093539+5 2.940000-3 1.049117+5 3.030000-3 9.994753+4 3.090295-3 9.700220+4 3.427678-3 8.221873+4 3.715352-3 7.158658+4 4.365158-3 5.384377+4 4.677351-3 4.738987+4 5.011872-3 4.149179+4 6.025596-3 2.874100+4 6.531306-3 2.429023+4 7.673615-3 1.717484+4 8.413951-3 1.398400+4 9.660509-3 1.019638+4 1.083927-2 7.769772+3 1.216186-2 5.885381+3 1.400000-2 4.151200+3 1.584893-2 3.027587+3 1.778279-2 2.244769+3 2.018366-2 1.604144+3 2.317395-2 1.103041+3 2.660725-2 7.525458+2 3.090295-2 4.931182+2 3.589219-2 3.204577+2 4.168694-2 2.066203+2 4.841724-2 1.322625+2 5.688529-2 8.120573+1 6.760830-2 4.779501+1 8.317638-2 2.509235+1 1.083927-1 1.090984+1 1.698244-1 2.640452+0 2.089296-1 1.380935+0 2.454709-1 8.394406-1 2.818383-1 5.515044-1 3.198895-1 3.777167-1 3.630781-1 2.606030-1 4.073803-1 1.873297-1 4.570882-1 1.357089-1 5.069907-1 1.022517-1 5.623413-1 7.759618-2 6.237348-1 5.931670-2 6.918310-1 4.568517-2 7.673615-1 3.545479-2 8.709636-1 2.618346-2 9.332543-1 2.234308-2 9.885531-1 1.969363-2 1.071519+0 1.665841-2 1.161449+0 1.418765-2 1.273503+0 1.189694-2 1.412538+0 9.839358-3 1.717908+0 6.938902-3 1.927525+0 5.687955-3 2.213095+0 4.523943-3 2.570396+0 3.556727-3 2.951209+0 2.868403-3 3.388442+0 2.331171-3 3.935501+0 1.875875-3 4.623810+0 1.495801-3 5.432503+0 1.201691-3 6.456542+0 9.575948-4 7.762471+0 7.572357-4 9.549926+0 5.864237-4 1.216186+1 4.392865-4 1.603245+1 3.192832-4 2.089296+1 2.372095-4 2.754229+1 1.752435-4 3.890451+1 1.210204-4 6.000000+1 7.678700-5 9.440609+1 4.809962-5 1.798871+2 2.492820-5 3.589219+2 1.240770-5 1.428894+3 3.100701-6 1.000000+5 4.424300-8 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.836900-3 1.470300-4 1.000000+5 1.470300-4 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.836900-3 1.642000-5 1.000000+5 1.642000-5 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.836900-3 2.673450-3 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.394800-3 1.736969+5 2.470000-3 1.973388+5 2.475000-3 1.983468+5 2.540973-3 2.161341+5 2.590000-3 2.266001+5 2.630268-3 2.334501+5 2.660725-3 2.360882+5 2.680000-3 2.371657+5 2.700000-3 2.375782+5 2.740000-3 2.340644+5 2.985383-3 1.875952+5 3.273407-3 1.469357+5 3.650000-3 1.092532+5 4.027170-3 8.298503+4 4.466836-3 6.165080+4 5.069907-3 4.254684+4 6.095369-3 2.435313+4 6.683439-3 1.830263+4 7.800000-3 1.124080+4 8.810489-3 7.583567+3 9.885531-3 5.202213+3 1.161449-2 3.035920+3 1.333521-2 1.896004+3 1.500000-2 1.262240+3 1.717908-2 7.844877+2 2.000000-2 4.565960+2 2.344229-2 2.572387+2 2.754229-2 1.425236+2 3.235937-2 7.839713+1 3.890451-2 3.927623+1 4.731513-2 1.870014+1 6.165950-2 6.789380+0 1.071519-1 8.124765-1 1.333521-1 3.530937-1 1.621810-1 1.687964-1 1.883649-1 9.664989-2 2.065380-1 6.891128-2 2.371374-1 4.174068-2 2.691535-1 2.655690-2 3.054921-1 1.702860-2 3.427678-1 1.144950-2 3.801894-1 8.063464-3 4.216965-1 5.717988-3 4.677351-1 4.084603-3 5.188000-1 2.939955-3 5.688529-1 2.209916-3 6.095369-1 1.793423-3 6.606935-1 1.415704-3 7.244360-1 1.088213-3 8.035261-1 8.154331-4 8.609938-1 6.705118-4 9.120108-1 5.732154-4 9.549926-1 5.085194-4 1.000000+0 4.539449-4 1.047129+0 4.081781-4 1.096478+0 3.696168-4 1.148154+0 3.367039-4 1.216186+0 3.016923-4 1.318257+0 2.607055-4 1.531087+0 2.012988-4 1.819701+0 1.483608-4 2.018366+0 1.243670-4 2.344229+0 9.734076-5 2.722701+0 7.675338-5 3.090295+0 6.317839-5 3.589219+0 5.060651-5 4.216965+0 4.017508-5 4.954502+0 3.214015-5 5.888437+0 2.550929-5 7.079458+0 2.009648-5 8.511380+0 1.595155-5 1.035142+1 1.256849-5 1.258925+1 9.967035-6 1.621810+1 7.443860-6 2.113489+1 5.532185-6 2.800000+1 4.066200-6 3.981072+1 2.789684-6 6.165950+1 1.763042-6 9.772372+1 1.096737-6 1.862087+2 5.685732-7 3.715352+2 2.830812-7 1.479108+3 7.075145-8 1.000000+5 1.045100-9 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.394800-3 1.097800-4 1.000000+5 1.097800-4 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.394800-3 6.505100-5 1.000000+5 6.505100-5 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.394800-3 2.219969-3 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.300800-3 4.689513+5 2.483133-3 4.202690+5 2.500000-3 4.145346+5 2.511886-3 4.114011+5 2.570396-3 3.892193+5 2.851018-3 2.968641+5 3.162278-3 2.246398+5 3.507519-3 1.686990+5 3.845918-3 1.299648+5 4.315191-3 9.304127+4 4.900000-3 6.381180+4 5.688529-3 4.037551+4 6.237348-3 3.031906+4 7.328245-3 1.812838+4 8.128305-3 1.293956+4 9.332543-3 8.190354+3 1.071519-2 5.136207+3 1.202264-2 3.458520+3 1.364583-2 2.223550+3 1.566751-2 1.362566+3 1.800000-2 8.266440+2 2.089296-2 4.793587+2 2.426610-2 2.751480+2 2.851018-2 1.500492+2 3.349654-2 8.119122+1 3.935501-2 4.362390+1 4.786301-2 2.035352+1 6.095369-2 7.863715+0 1.071519-1 8.455097-1 1.303167-1 3.926526-1 1.548817-1 2.010166-1 1.778279-1 1.184010-1 2.000000-1 7.596180-2 2.264644-1 4.817457-2 2.818383-1 2.186399-2 3.019952-1 1.714198-2 3.349654-1 1.198943-2 3.672823-1 8.786262-3 4.027170-1 6.484189-3 4.415705-1 4.821628-3 4.841724-1 3.613022-3 5.248075-1 2.825669-3 5.754399-1 2.149887-3 6.382635-1 1.594437-3 6.918310-1 1.272039-3 7.498942-1 1.021631-3 8.413951-1 7.545873-4 8.912509-1 6.521901-4 9.440609-1 5.674116-4 9.885531-1 5.104212-4 1.047129+0 4.505014-4 1.122018+0 3.909450-4 1.202264+0 3.416986-4 1.318257+0 2.878922-4 1.757924+0 1.726186-4 1.972423+0 1.416598-4 2.290868+0 1.107078-4 2.660725+0 8.719602-5 3.054921+0 7.045851-5 3.548134+0 5.640416-5 4.120975+0 4.548627-5 4.841724+0 3.635069-5 5.754399+0 2.882011-5 6.918310+0 2.268267-5 8.317638+0 1.798737-5 1.023293+1 1.396648-5 1.244515+1 1.107122-5 1.621810+1 8.158482-6 2.113489+1 6.063329-6 2.800000+1 4.456500-6 4.000000+1 3.042200-6 6.237348+1 1.909285-6 1.000000+2 1.174000-6 1.883649+2 6.159378-7 3.758374+2 3.066836-7 1.496236+3 7.665478-8 1.000000+5 1.145400-9 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.300800-3 1.083000-4 1.000000+5 1.083000-4 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.300800-3 3.488800-8 1.000000+5 3.488800-8 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.300800-3 2.192465-3 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 7.874400-4 4.979206+4 8.430000-4 4.738332+4 8.709636-4 4.613958+4 9.120108-4 4.427054+4 9.549926-4 4.257645+4 1.083927-3 3.788620+4 1.135011-3 3.617882+4 1.412538-3 2.814617+4 1.531087-3 2.546925+4 1.819701-3 2.028116+4 2.000000-3 1.779964+4 2.344229-3 1.414330+4 2.630268-3 1.189482+4 3.090295-3 9.256341+3 3.630781-3 7.132476+3 4.216965-3 5.557221+3 4.897788-3 4.300768+3 5.754399-3 3.239387+3 6.760830-3 2.422917+3 8.035261-3 1.761784+3 9.549926-3 1.272006+3 1.150000-2 8.891820+2 1.380384-2 6.206218+2 1.659587-2 4.285487+2 1.972423-2 3.006338+2 2.363700-2 2.057480+2 2.818383-2 1.412160+2 3.349654-2 9.689002+1 4.000000-2 6.529320+1 4.786301-2 4.345330+1 5.688529-2 2.914497+1 6.760830-2 1.940799+1 8.128305-2 1.248181+1 9.885531-2 7.747603+0 1.230269-1 4.508351+0 1.603245-1 2.320532+0 2.691535-1 6.291021-1 3.273407-1 3.867522-1 3.890451-1 2.536023-1 4.518559-1 1.772507-1 5.188000-1 1.282406-1 5.888437-1 9.595100-2 6.683439-1 7.232461-2 7.585776-1 5.491570-2 8.709636-1 4.099072-2 9.660509-1 3.313796-2 1.109175+0 2.519348-2 1.273503+0 1.928927-2 1.445440+0 1.521897-2 1.621810+0 1.235197-2 1.819701+0 1.009440-2 2.044000+0 8.295301-3 2.371374+0 6.507547-3 2.754229+0 5.134554-3 3.126079+0 4.229240-3 3.630781+0 3.389629-3 4.265795+0 2.692460-3 5.011872+0 2.155147-3 5.956621+0 1.711419-3 7.161434+0 1.348912-3 8.609938+0 1.071125-3 1.047129+1 8.443622-4 1.258925+1 6.788847-4 1.621810+1 5.070171-4 2.113489+1 3.768073-4 2.800000+1 2.769500-4 4.000000+1 1.890600-4 6.237348+1 1.186544-4 1.000000+2 7.295900-5 1.883649+2 3.827787-5 3.758374+2 1.905894-5 1.496236+3 4.763680-6 1.000000+5 7.118200-8 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 7.874400-4 1.124400-4 1.000000+5 1.124400-4 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 7.874400-4 1.087300-7 1.000000+5 1.087300-7 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 7.874400-4 6.748913-4 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 6.731700-4 4.152450+4 7.673615-4 4.147776+4 8.850000-4 4.034246+4 9.332543-4 3.966424+4 1.000000-3 3.852880+4 1.083927-3 3.700460+4 1.174898-3 3.527882+4 1.258925-3 3.364648+4 1.350000-3 3.182160+4 1.479108-3 2.933146+4 1.610000-3 2.702940+4 1.737801-3 2.493108+4 1.927525-3 2.214579+4 2.113489-3 1.980103+4 2.317395-3 1.756772+4 2.570396-3 1.525450+4 2.818383-3 1.336344+4 3.162278-3 1.123846+4 3.507519-3 9.545468+3 3.935501-3 7.904797+3 4.415704-3 6.492448+3 4.897788-3 5.405895+3 5.559043-3 4.287447+3 6.309573-3 3.371644+3 7.079458-3 2.691163+3 8.000000-3 2.103640+3 9.015711-3 1.642161+3 1.023293-2 1.254086+3 1.161449-2 9.508051+2 1.318257-2 7.157257+2 1.500000-2 5.318620+2 1.698244-2 3.971588+2 1.949845-2 2.847353+2 2.238721-2 2.025080+2 2.570396-2 1.429852+2 2.951209-2 1.002522+2 3.427678-2 6.771112+1 4.000000-2 4.481720+1 4.677351-2 2.928473+1 5.559043-2 1.816379+1 6.683439-2 1.082477+1 8.222426-2 5.999156+0 1.071519-1 2.796903+0 1.840772-1 5.831970-1 2.000000-1 4.593080-1 2.041738-1 4.342714-1 2.483133-1 2.488801-1 2.917427-1 1.584366-1 3.388442-1 1.048883-1 3.890451-1 7.219595-2 4.415705-1 5.163184-2 5.011872-1 3.720606-2 5.623413-1 2.782027-2 6.237348-1 2.155545-2 6.918310-1 1.681277-2 7.673615-1 1.320030-2 8.709636-1 9.890815-3 9.440609-1 8.285750-3 1.022000+0 7.012119-3 1.122018+0 5.810672-3 1.244515+0 4.756477-3 1.396368+0 3.839575-3 1.659587+0 2.813649-3 1.862087+0 2.301921-3 2.089296+0 1.897460-3 2.426610+0 1.487416-3 2.818383+0 1.174885-3 3.198895+0 9.688569-4 3.715352+0 7.774350-4 4.365158+0 6.182428-4 5.128614+0 4.953936-4 6.095369+0 3.937822-4 7.328245+0 3.106714-4 8.810489+0 2.469309-4 1.059254+1 1.975044-4 1.258925+1 1.609930-4 1.621810+1 1.202351-4 2.113489+1 8.935933-5 2.800000+1 6.567900-5 4.000000+1 4.483500-5 6.237348+1 2.813827-5 9.885531+1 1.750700-5 1.862087+2 9.183950-6 3.715352+2 4.572475-6 1.479108+3 1.142851-6 1.000000+5 1.688100-8 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 6.731700-4 9.742900-5 1.000000+5 9.742900-5 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 6.731700-4 1.065700-7 1.000000+5 1.065700-7 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 6.731700-4 5.756344-4 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 5.671300-4 2.120141+5 6.456542-4 2.020849+5 6.683439-4 1.974902+5 7.673615-4 1.762885+5 8.413951-4 1.617820+5 9.225714-4 1.476767+5 1.023293-3 1.322606+5 1.110000-3 1.203804+5 1.244515-3 1.044580+5 1.364583-3 9.268407+4 1.500000-3 8.135800+4 1.698244-3 6.804111+4 1.862087-3 5.921520+4 2.113489-3 4.854362+4 2.371374-3 4.020316+4 2.660725-3 3.306763+4 3.019952-3 2.645610+4 3.400000-3 2.131468+4 3.845918-3 1.690023+4 4.365158-3 1.321118+4 4.954502-3 1.024730+4 5.559043-3 8.080370+3 6.237348-3 6.333073+3 7.079458-3 4.809889+3 8.035261-3 3.626501+3 9.225714-3 2.643067+3 1.047129-2 1.963442+3 1.202264-2 1.408354+3 1.380384-2 1.001795+3 1.566751-2 7.277519+2 1.798871-2 5.095629+2 2.041738-2 3.648666+2 2.344229-2 2.515380+2 2.691535-2 1.720894+2 3.090295-2 1.168779+2 3.589219-2 7.625394+1 4.168694-2 4.936295+1 4.841724-2 3.172011+1 5.688529-2 1.955679+1 6.683439-2 1.197115+1 8.128305-2 6.544752+0 1.023293-1 3.191158+0 1.737801-1 6.037135-1 2.187762-1 2.948168-1 2.570396-1 1.797454-1 2.951209-1 1.184442-1 3.349654-1 8.139388-2 3.758374-1 5.826047-2 4.216965-1 4.199798-2 4.677351-1 3.148949-2 5.188000-1 2.376993-2 5.754399-1 1.807183-2 6.309573-1 1.425636-2 6.998420-1 1.099955-2 7.762471-1 8.551544-3 8.709636-1 6.495785-3 9.332543-1 5.543703-3 9.885531-1 4.886673-3 1.071519+0 4.133825-3 1.161449+0 3.520773-3 1.273503+0 2.952303-3 1.412538+0 2.441718-3 1.717908+0 1.722018-3 1.927525+0 1.411668-3 2.213095+0 1.122908-3 2.570396+0 8.828972-4 2.985383+0 6.996178-4 3.467369+0 5.593796-4 4.027170+0 4.506189-4 4.731513+0 3.597243-4 5.559043+0 2.892882-4 6.606934+0 2.307364-4 8.000000+0 1.810200-4 9.885531+0 1.395978-4 1.244515+1 1.061591-4 1.621810+1 7.822583-5 2.113489+1 5.813701-5 2.800000+1 4.273100-5 3.981072+1 2.931697-5 6.237348+1 1.830711-5 9.885531+1 1.139037-5 1.883649+2 5.905853-6 3.758374+2 2.940563-6 1.496236+3 7.349883-7 1.000000+5 1.098300-8 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 5.671300-4 8.969700-5 1.000000+5 8.969700-5 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 5.671300-4 6.419800-8 1.000000+5 6.419800-8 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 5.671300-4 4.773688-4 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 3.782100-4 1.515892+5 3.792000-4 1.454412+5 3.803000-4 1.397824+5 3.814000-4 1.349892+5 3.825000-4 1.309276+5 3.840000-4 1.262732+5 3.855000-4 1.224864+5 3.875000-4 1.184296+5 3.890451-4 1.159540+5 3.912000-4 1.133604+5 3.935000-4 1.116084+5 3.958000-4 1.108292+5 3.981072-4 1.109107+5 4.000000-4 1.115088+5 4.030000-4 1.131552+5 4.100000-4 1.184948+5 4.350000-4 1.407200+5 4.430000-4 1.476544+5 4.530000-4 1.555100+5 4.650000-4 1.639432+5 4.897788-4 1.801563+5 5.101000-4 1.928472+5 5.248075-4 2.010605+5 5.400000-4 2.083432+5 5.580000-4 2.155320+5 5.821032-4 2.233136+5 6.025596-4 2.285355+5 6.237348-4 2.326461+5 6.456542-4 2.354031+5 6.700000-4 2.369580+5 7.000000-4 2.371596+5 7.328245-4 2.356416+5 7.673615-4 2.323746+5 8.100000-4 2.267464+5 8.511380-4 2.203546+5 9.000000-4 2.118704+5 9.500000-4 2.024212+5 1.011579-3 1.904227+5 1.083927-3 1.766632+5 1.150000-3 1.645708+5 1.230269-3 1.506547+5 1.333521-3 1.343891+5 1.428894-3 1.210509+5 1.531087-3 1.083070+5 1.659587-3 9.445439+4 1.800000-3 8.169480+4 1.950000-3 7.029000+4 2.113489-3 6.004757+4 2.300000-3 5.053080+4 2.511886-3 4.191879+4 2.754229-3 3.422336+4 3.019952-3 2.773644+4 3.311311-3 2.232054+4 3.672823-3 1.734230+4 4.073803-3 1.336165+4 4.466836-3 1.052816+4 4.954502-3 7.995627+3 5.559043-3 5.838618+3 6.237348-3 4.226507+3 7.000000-3 3.032064+3 7.943282-3 2.087429+3 8.912509-3 1.473645+3 1.000000-2 1.032628+3 1.109175-2 7.451567+2 1.244515-2 5.150481+2 1.412538-2 3.404503+2 1.584893-2 2.320483+2 1.798871-2 1.510922+2 2.041738-2 9.767236+1 2.344229-2 6.021611+1 2.691535-2 3.684916+1 3.126079-2 2.148000+1 3.672823-2 1.191607+1 4.365158-2 6.288589+0 5.308844-2 3.023054+0 6.760830-2 1.212407+0 1.161449-1 1.554524-1 1.445440-1 6.822699-2 1.737801-1 3.435168-2 2.018366-1 1.980647-2 2.317395-1 1.201075-2 2.630268-1 7.647937-3 2.985383-1 4.906327-3 3.349654-1 3.298723-3 3.758374-1 2.234671-3 4.168694-1 1.585291-3 4.623810-1 1.132947-3 5.069907-1 8.460137-4 5.559043-1 6.359093-4 6.095369-1 4.813683-4 6.683439-1 3.672291-4 7.328245-1 2.822174-4 8.709636-1 1.742908-4 9.225714-1 1.494749-4 9.660509-1 1.329787-4 1.011579+0 1.190638-4 1.059254+0 1.073481-4 1.109175+0 9.740604-5 1.174898+0 8.690709-5 1.258925+0 7.641666-5 1.364583+0 6.617717-5 1.513561+0 5.536535-5 1.798871+0 4.078872-5 2.000000+0 3.402900-5 2.317395+0 2.672284-5 2.691535+0 2.105941-5 3.090295+0 1.702614-5 3.589219+0 1.363751-5 4.168694+0 1.100353-5 4.897788+0 8.798587-6 5.821032+0 6.979519-6 7.000000+0 5.494400-6 8.413951+0 4.360286-6 1.035142+1 3.387116-6 1.258925+1 2.686059-6 1.621810+1 2.006091-6 2.113489+1 1.490860-6 2.786121+1 1.101711-6 4.000000+1 7.480300-7 6.237348+1 4.694685-7 9.885531+1 2.920905-7 1.883649+2 1.514481-7 3.758374+2 7.540869-8 1.496236+3 1.884840-8 1.000000+5 2.81640-10 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 3.782100-4 6.743200-5 1.000000+5 6.743200-5 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 3.782100-4 5.628400-8 1.000000+5 5.628400-8 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 3.782100-4 3.107217-4 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 3.584200-4 2.023680+5 3.604000-4 1.925370+5 3.625000-4 1.839960+5 3.648000-4 1.764432+5 3.670000-4 1.707324+5 3.690000-4 1.667130+5 3.713000-4 1.634838+5 3.734100-4 1.618844+5 3.750000-4 1.615578+5 3.765000-4 1.619238+5 3.785000-4 1.633368+5 3.801894-4 1.652186+5 3.830000-4 1.693182+5 3.981072-4 1.960939+5 4.100200-4 2.180253+5 4.180000-4 2.323944+5 4.240000-4 2.424846+5 4.320000-4 2.547120+5 4.415704-4 2.676762+5 4.550000-4 2.839386+5 4.731513-4 3.043902+5 4.897788-4 3.218661+5 5.040000-4 3.351456+5 5.188000-4 3.465850+5 5.370318-4 3.579916+5 5.580000-4 3.682224+5 5.821032-4 3.770668+5 6.025596-4 3.822676+5 6.237348-4 3.853574+5 6.500000-4 3.863328+5 6.760830-4 3.849294+5 7.079458-4 3.808071+5 7.413102-4 3.739999+5 7.800000-4 3.640038+5 8.222426-4 3.516927+5 8.709636-4 3.363240+5 9.225714-4 3.190760+5 9.772372-4 3.005385+5 1.050000-3 2.767428+5 1.122018-3 2.545626+5 1.202264-3 2.314571+5 1.300000-3 2.062626+5 1.400000-3 1.835100+5 1.513561-3 1.610512+5 1.640590-3 1.397459+5 1.778279-3 1.203431+5 1.927525-3 1.029778+5 2.089296-3 8.752448+4 2.300000-3 7.153020+4 2.500000-3 5.961552+4 2.754229-3 4.788714+4 3.019952-3 3.857788+4 3.311311-3 3.087803+4 3.672823-3 2.383482+4 4.027170-3 1.880443+4 4.415704-3 1.474972+4 4.954502-3 1.079212+4 5.559043-3 7.823938+3 6.165950-3 5.813839+3 6.839116-3 4.290337+3 7.500000-3 3.255270+3 8.300000-3 2.389392+3 9.120108-3 1.782727+3 1.023293-2 1.237643+3 1.148154-2 8.532520+2 1.288250-2 5.837586+2 1.445440-2 3.964675+2 1.640590-2 2.570574+2 1.862087-2 1.653812+2 2.113489-2 1.056073+2 2.398833-2 6.696166+1 2.754229-2 4.043262+1 3.162278-2 2.423832+1 3.672823-2 1.382137+1 4.315191-2 7.491844+0 5.188000-2 3.691099+0 6.382635-2 1.651266+0 1.135011-1 1.742660-1 1.380384-1 8.164000-2 1.640590-1 4.211832-2 1.883649-1 2.491587-2 2.065380-1 1.765106-2 2.317395-1 1.156073-2 2.570396-1 7.954522-3 2.851018-1 5.511919-3 3.162278-1 3.846902-3 3.507519-1 2.704901-3 3.845918-1 1.991498-3 4.168694-1 1.532541-3 4.570882-1 1.144021-3 5.011872-1 8.602722-4 5.495409-1 6.515376-4 6.000000-1 5.037115-4 6.531306-1 3.964825-4 7.079458-1 3.180828-4 7.673615-1 2.568258-4 8.709636-1 1.844926-4 9.225714-1 1.597741-4 9.772372-1 1.393910-4 1.023293+0 1.257667-4 1.083927+0 1.113156-4 1.161449+0 9.689261-5 1.250000+0 8.423463-5 1.364583+0 7.182033-5 1.798871+0 4.410025-5 2.000000+0 3.680300-5 2.317395+0 2.889944-5 2.691535+0 2.277480-5 3.090295+0 1.841350-5 3.589219+0 1.474899-5 4.216965+0 1.170889-5 4.954502+0 9.367538-6 5.888437+0 7.434792-6 7.079458+0 5.857237-6 8.511380+0 4.649061-6 1.035142+1 3.663119-6 1.258925+1 2.905000-6 1.621810+1 2.169554-6 2.113489+1 1.612352-6 2.786121+1 1.191497-6 3.935501+1 8.230559-7 6.095369+1 5.200360-7 9.660509+1 3.234323-7 1.840772+2 1.676596-7 3.672823+2 8.346562-8 1.462177+3 2.086009-8 1.000000+5 3.04590-10 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 3.584200-4 6.460600-5 1.000000+5 6.460600-5 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 3.584200-4 4.615200-9 1.000000+5 4.615200-9 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 3.584200-4 2.938094-4 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 1.135000-4 1.005762+5 1.136400-4 1.036854+5 1.139500-4 1.096530+5 1.142500-4 1.150650+5 1.145500-4 1.202628+5 1.150000-4 1.275276+5 1.154000-4 1.335312+5 1.158500-4 1.398072+5 1.163000-4 1.456830+5 1.167000-4 1.505466+5 1.172000-4 1.561662+5 1.178000-4 1.623348+5 1.185000-4 1.688130+5 1.193400-4 1.757067+5 1.202264-4 1.820222+5 1.210000-4 1.868052+5 1.220000-4 1.920774+5 1.230269-4 1.965676+5 1.245000-4 2.015928+5 1.260000-4 2.053158+5 1.275000-4 2.079024+5 1.290000-4 2.095866+5 1.315000-4 2.109864+5 1.390000-4 2.119338+5 1.415000-4 2.133648+5 1.440000-4 2.162028+5 1.462177-4 2.202245+5 1.485000-4 2.260536+5 1.500000-4 2.309208+5 1.520000-4 2.387424+5 1.540000-4 2.481600+5 1.560000-4 2.591832+5 1.584893-4 2.751852+5 1.610000-4 2.938452+5 1.640590-4 3.198939+5 1.678804-4 3.572907+5 1.850000-4 5.829630+5 1.905461-4 6.738676+5 1.972423-4 7.931623+5 2.020000-4 8.829540+5 2.080000-4 1.000170+6 2.135000-4 1.109280+6 2.190000-4 1.217574+6 2.240000-4 1.313742+6 2.290868-4 1.407760+6 2.344229-4 1.501315+6 2.400000-4 1.592922+6 2.454709-4 1.676054+6 2.520000-4 1.766652+6 2.580000-4 1.841928+6 2.660725-4 1.931857+6 2.754229-4 2.020451+6 2.830000-4 2.079786+6 2.917427-4 2.134214+6 3.000000-4 2.172234+6 3.100000-4 2.202306+6 3.200000-4 2.217054+6 3.320000-4 2.217750+6 3.430000-4 2.204928+6 3.550000-4 2.179278+6 3.715352-4 2.129828+6 3.890451-4 2.065126+6 4.073803-4 1.987463+6 4.265795-4 1.898598+6 4.466836-4 1.800847+6 4.700000-4 1.686270+6 4.954502-4 1.564580+6 5.248075-4 1.431828+6 5.559043-4 1.300656+6 5.900000-4 1.168170+6 6.309573-4 1.026218+6 6.760830-4 8.911570+5 7.244360-4 7.676762+5 7.762471-4 6.562862+5 8.317638-4 5.570950+5 9.015711-4 4.567968+5 9.700000-4 3.786870+5 1.059254-3 2.997777+5 1.150000-3 2.392236+5 1.244515-3 1.914083+5 1.380384-3 1.415609+5 1.500000-3 1.103370+5 1.640590-3 8.383354+4 1.819701-3 6.049596+4 2.041738-3 4.168785+4 2.300000-3 2.806440+4 2.570396-3 1.922267+4 2.851018-3 1.340663+4 3.162278-3 9.284724+3 3.548134-3 6.124383+3 3.935501-3 4.179934+3 4.415704-3 2.713855+3 4.954502-3 1.748399+3 5.559043-3 1.117769+3 6.237348-3 7.094527+2 7.000000-3 4.467966+2 7.943282-3 2.671153+2 9.015711-3 1.583533+2 1.023293-2 9.313259+1 1.161449-2 5.436030+1 1.318257-2 3.149895+1 1.500000-2 1.792590+1 1.717908-2 9.838896+0 2.000000-2 4.983252+0 2.344229-2 2.430763+0 2.818383-2 1.048607+0 3.311311-2 4.993925-1 4.168694-2 1.714340-1 7.852356-2 8.920076-3 9.549926-2 3.600855-3 1.109175-1 1.811324-3 1.303167-1 8.704824-4 1.531088-1 4.215862-4 1.737801-1 2.397778-4 1.949845-1 1.445819-4 2.113489-1 1.020881-4 2.344229-1 6.573787-5 2.600160-1 4.264189-5 2.884032-1 2.786029-5 3.235937-1 1.748619-5 3.548134-1 1.212566-5 3.890451-1 8.467524-6 4.168694-1 6.506639-6 4.623810-1 4.418684-6 5.370318-1 2.553537-6 5.888437-1 1.834837-6 6.606935-1 1.218712-6 7.079458-1 9.595359-7 7.498942-1 7.909862-7 7.943282-1 6.565699-7 8.317638-1 5.690024-7 8.709636-1 4.960460-7 9.120108-1 4.353057-7 9.549926-1 3.847875-7 9.885531-1 3.526023-7 1.035142+0 3.161488-7 1.083927+0 2.856498-7 1.135011+0 2.597861-7 1.202264+0 2.324582-7 1.318257+0 1.967049-7 1.513561+0 1.551822-7 1.819701+0 1.120656-7 2.018366+0 9.393022-8 2.344229+0 7.351232-8 2.722701+0 5.796715-8 3.090295+0 4.771708-8 3.589219+0 3.822127-8 4.216965+0 3.034292-8 4.954502+0 2.427495-8 5.888437+0 1.926630-8 7.079458+0 1.517780-8 8.511380+0 1.204750-8 1.035142+1 9.492570-9 1.258925+1 7.527962-9 1.621810+1 5.622105-9 2.113489+1 4.178334-9 2.800000+1 3.071100-9 3.981072+1 2.106962-9 6.165950+1 1.331564-9 9.772372+1 8.28307-10 1.862087+2 4.29432-10 3.715352+2 2.13803-10 1.479108+3 5.34368-11 1.000000+5 7.89310-13 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 1.135000-4 3.672600-5 1.000000+5 3.672600-5 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.135000-4 3.69240-10 1.000000+5 3.69240-10 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.135000-4 7.677363-5 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 1.091300-4 1.528864+5 1.092100-4 1.555880+5 1.095000-4 1.634304+5 1.098000-4 1.711248+5 1.102000-4 1.805992+5 1.106000-4 1.893136+5 1.111000-4 1.993872+5 1.117000-4 2.102136+5 1.122018-4 2.184129+5 1.128000-4 2.272792+5 1.135011-4 2.365342+5 1.143000-4 2.457496+5 1.150000-4 2.528144+5 1.161000-4 2.622840+5 1.173000-4 2.706616+5 1.185000-4 2.773280+5 1.200000-4 2.836440+5 1.216186-4 2.884254+5 1.235000-4 2.919160+5 1.260000-4 2.941200+5 1.340000-4 2.950392+5 1.365000-4 2.967296+5 1.390000-4 3.003456+5 1.412538-4 3.057149+5 1.435000-4 3.133928+5 1.450000-4 3.199352+5 1.472000-4 3.317288+5 1.495000-4 3.469496+5 1.520000-4 3.669208+5 1.540000-4 3.854832+5 1.570000-4 4.175376+5 1.603245-4 4.587505+5 1.650000-4 5.262216+5 1.800000-4 8.078960+5 1.862087-4 9.496726+5 1.927525-4 1.112144+6 1.990000-4 1.276712+6 2.041738-4 1.417168+6 2.089296-4 1.547355+6 2.137962-4 1.679388+6 2.190000-4 1.817080+6 2.240000-4 1.944032+6 2.300000-4 2.087648+6 2.350000-4 2.199152+6 2.400000-4 2.302928+6 2.454709-4 2.407393+6 2.520000-4 2.519976+6 2.600160-4 2.641272+6 2.660725-4 2.721102+6 2.754229-4 2.825119+6 2.846200-4 2.905154+6 2.930000-4 2.959248+6 3.019952-4 2.998095+6 3.126079-4 3.020448+6 3.240000-4 3.020360+6 3.350000-4 3.001640+6 3.470000-4 2.965272+6 3.630781-4 2.897855+6 3.801894-4 2.809931+6 3.981072-4 2.704243+6 4.168694-4 2.583105+6 4.365158-4 2.450467+6 4.600000-4 2.290608+6 4.850000-4 2.124288+6 5.150000-4 1.935632+6 5.432503-4 1.770815+6 5.754399-4 1.597091+6 6.100000-4 1.428048+6 6.531306-4 1.243841+6 6.918310-4 1.100635+6 7.413102-4 9.435328+5 7.943282-4 8.030464+5 8.609938-4 6.598853+5 9.225714-4 5.543303+5 1.000000-3 4.487016+5 1.083927-3 3.608587+5 1.190000-3 2.779368+5 1.288250-3 2.211063+5 1.412538-3 1.684194+5 1.570000-3 1.220408+5 1.730000-3 9.004720+4 1.883649-3 6.854235+4 2.065380-3 5.071078+4 2.290868-3 3.585147+4 2.540973-3 2.515190+4 2.818383-3 1.751605+4 3.126079-3 1.211003+4 3.467369-3 8.317270+3 3.845918-3 5.672359+3 4.265795-3 3.842300+3 4.786301-3 2.473481+3 5.370318-3 1.580262+3 6.025596-3 1.002164+3 6.760830-3 6.309178+2 7.673615-3 3.762881+2 8.609938-3 2.335720+2 9.772372-3 1.371942+2 1.109175-2 7.996206+1 1.258925-2 4.625311+1 1.428894-2 2.655908+1 1.621810-2 1.513786+1 1.862087-2 8.136722+0 2.187762-2 3.911294+0 2.570396-2 1.865947+0 3.090295-2 7.946689-1 3.758374-2 3.185542-1 4.731513-2 1.077714-1 5.559043-2 5.023456-2 7.585776-2 1.143610-2 8.810489-2 5.642416-3 1.047129-1 2.516131-3 1.216186-1 1.258366-3 1.479108-1 5.133390-4 1.659587-1 3.050445-4 1.840772-1 1.922458-4 2.018366-1 1.283480-4 2.213095-1 8.631562-5 2.426610-1 5.844984-5 2.660725-1 3.986928-5 2.917427-1 2.742669-5 3.198895-1 1.901002-5 3.507519-1 1.327184-5 3.845918-1 9.316320-6 4.168694-1 6.880152-6 4.518559-1 5.117368-6 4.841724-1 3.996801-6 5.188000-1 3.141003-6 5.559043-1 2.484526-6 5.956621-1 1.979992-6 6.382635-1 1.588706-6 6.839117-1 1.283127-6 7.328245-1 1.042627-6 7.852356-1 8.525704-7 8.413951-1 7.017029-7 9.120108-1 5.620108-7 9.549926-1 4.978430-7 1.000000+0 4.439300-7 1.047129+0 3.989434-7 1.096478+0 3.611353-7 1.148154+0 3.289353-7 1.216186+0 2.947486-7 1.318257+0 2.547791-7 1.513561+0 2.009334-7 1.819701+0 1.450941-7 2.000000+0 1.234900-7 2.344229+0 9.520073-8 2.722701+0 7.506491-8 3.090295+0 6.178711-8 3.589219+0 4.949157-8 4.216965+0 3.928995-8 4.954502+0 3.143238-8 5.888437+0 2.494761-8 7.079458+0 1.965397-8 8.511380+0 1.559969-8 1.035142+1 1.229180-8 1.258925+1 9.747593-9 1.621810+1 7.279796-9 2.113489+1 5.410288-9 2.800000+1 3.976600-9 4.000000+1 2.714600-9 6.237348+1 1.703642-9 9.885531+1 1.060011-9 1.883649+2 5.49603-10 3.758374+2 2.73657-10 1.496236+3 6.83990-11 1.000000+5 1.02210-12 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 1.091300-4 3.440600-5 1.000000+5 3.440600-5 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 1.091300-4 3.924800-9 1.000000+5 3.924800-9 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 1.091300-4 7.472008-5 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 1.257300-4 7.750920+4 1.280000-4 7.151880+4 1.294000-4 6.872700+4 1.305000-4 6.693340+4 1.320000-4 6.497000+4 1.335000-4 6.340040+4 1.350000-4 6.215000+4 1.373000-4 6.071840+4 1.396368-4 5.972541+4 1.425000-4 5.895740+4 1.462177-4 5.846807+4 1.500000-4 5.835700+4 1.560000-4 5.864280+4 1.737801-4 6.023323+4 1.820000-4 6.063820+4 1.905461-4 6.068552+4 2.018366-4 6.028034+4 2.150000-4 5.934620+4 2.317395-4 5.778398+4 2.511886-4 5.576801+4 2.722701-4 5.346145+4 2.917427-4 5.121032+4 3.126079-4 4.870682+4 3.388442-4 4.557512+4 3.715352-4 4.191938+4 4.120975-4 3.788277+4 4.518559-4 3.438179+4 5.011872-4 3.057419+4 5.688529-4 2.626744+4 6.382635-4 2.273065+4 7.328245-4 1.894209+4 8.511380-4 1.543106+4 1.011579-3 1.206623+4 1.188502-3 9.523895+3 1.428894-3 7.214011+3 1.737801-3 5.326911+3 2.089296-3 3.975747+3 2.540973-3 2.890676+3 3.054921-3 2.125162+3 3.672823-3 1.550700+3 4.415704-3 1.123047+3 5.308844-3 8.075422+2 6.382635-3 5.764891+2 7.762471-3 3.996759+2 9.440609-3 2.749330+2 1.148154-2 1.876906+2 1.396368-2 1.271350+2 1.678804-2 8.747043+1 2.018366-2 5.974013+1 2.426610-2 4.048805+1 2.917427-2 2.722749+1 3.467369-2 1.863184+1 4.168694-2 1.233649+1 5.011872-2 8.105169+0 6.025596-2 5.283629+0 7.244360-2 3.419257+0 8.609938-2 2.258434+0 1.047129-1 1.397356+0 1.333521-1 7.657107-1 2.691535-1 1.307490-1 3.273407-1 8.038834-2 3.890451-1 5.271152-2 4.518559-1 3.682709-2 5.188000-1 2.664090-2 5.956621-1 1.942467-2 6.760830-1 1.465084-2 7.673615-1 1.113196-2 8.709636-1 8.516893-3 9.660509-1 6.885276-3 1.109175+0 5.234548-3 1.273503+0 4.007827-3 1.445440+0 3.162070-3 1.640590+0 2.514191-3 1.840772+0 2.056126-3 2.065380+0 1.694171-3 2.398833+0 1.327463-3 2.786121+0 1.047953-3 3.162278+0 8.636596-4 3.672823+0 6.926078-4 4.315191+0 5.504664-4 5.069907+0 4.408474-4 6.025596+0 3.502496-4 7.244360+0 2.761958-4 8.709636+0 2.194267-4 1.059254+1 1.730384-4 1.273503+1 1.391837-4 1.621810+1 1.053461-4 2.113489+1 7.829119-5 2.800000+1 5.754400-5 4.000000+1 3.928200-5 6.237348+1 2.465381-5 9.885531+1 1.533861-5 1.883649+2 7.953268-6 3.758374+2 3.960001-6 1.496236+3 9.897895-7 1.000000+5 1.479000-8 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 1.257300-4 4.424900-5 1.000000+5 4.424900-5 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.257300-4 1.037700-9 1.000000+5 1.037700-9 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.257300-4 8.147996-5 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 8.734000-5 7.688380+5 8.800000-5 8.056560+5 8.850000-5 8.287360+5 8.912509-5 8.526826+5 8.980000-5 8.726020+5 9.040000-5 8.865220+5 9.120108-5 8.995773+5 9.225714-5 9.090787+5 9.332543-5 9.118252+5 9.450000-5 9.082340+5 9.580000-5 8.978680+5 9.720000-5 8.809600+5 9.900000-5 8.530600+5 1.010000-4 8.167280+5 1.030000-4 7.772140+5 1.050000-4 7.363200+5 1.080000-4 6.750480+5 1.110000-4 6.161920+5 1.150000-4 5.440220+5 1.220000-4 4.378680+5 1.364583-4 2.887121+5 1.462177-4 2.246304+5 1.548817-4 1.832431+5 1.650000-4 1.474944+5 1.737801-4 1.242639+5 1.820000-4 1.073074+5 1.905461-4 9.338763+4 1.995262-4 8.184786+4 2.080000-4 7.315680+4 2.162719-4 6.624497+4 2.264644-4 5.935659+4 2.371374-4 5.360140+4 2.483133-4 4.877033+4 2.600160-4 4.469771+4 2.730000-4 4.106760+4 2.851018-4 3.832368+4 3.000000-4 3.558960+4 3.162278-4 3.320778+4 3.350000-4 3.100440+4 3.600000-4 2.868880+4 3.935501-4 2.627339+4 4.466836-4 2.339075+4 5.888437-4 1.829611+4 6.760830-4 1.607418+4 7.762471-4 1.401905+4 8.810489-4 1.227762+4 1.000000-3 1.067570+4 1.122018-3 9.345729+3 1.273503-3 8.017926+3 1.445440-3 6.831379+3 1.650000-3 5.735760+3 1.862087-3 4.855991+3 2.089296-3 4.119754+3 2.371374-3 3.414457+3 2.691535-3 2.808809+3 3.054921-3 2.293629+3 3.467369-3 1.858888+3 3.935501-3 1.495428+3 4.466836-3 1.194308+3 5.069907-3 9.469146+2 5.754399-3 7.453518+2 6.531306-3 5.825640+2 7.413102-3 4.521204+2 8.413951-3 3.484025+2 9.660509-3 2.601339+2 1.096478-2 1.976079+2 1.244515-2 1.490928+2 1.428894-2 1.088042+2 1.621810-2 8.094110+1 1.862087-2 5.817671+1 2.137962-2 4.149584+1 2.454709-2 2.937857+1 2.818383-2 2.065286+1 3.273407-2 1.399045+1 3.801894-2 9.406311+0 4.623810-2 5.544467+0 5.248075-2 3.918823+0 6.237348-2 2.420937+0 7.585776-2 1.391287+0 9.660509-2 6.958092-1 1.798871-1 1.152223-1 2.264644-1 5.959443-2 2.691535-1 3.659137-2 3.162278-1 2.338072-2 3.630781-1 1.603746-2 4.120975-1 1.142727-2 4.677351-1 8.201289-3 5.248075-1 6.107697-3 5.888437-1 4.580849-3 6.531306-1 3.560022-3 7.244360-1 2.784866-3 8.317638-1 2.025795-3 9.120108-1 1.648576-3 9.885531-1 1.386838-3 1.071519+0 1.175701-3 1.174898+0 9.803730-4 1.303167+0 8.051931-4 1.462177+0 6.519442-4 1.698244+0 4.987220-4 1.905461+0 4.086102-4 2.162719+0 3.309657-4 2.511886+0 2.599073-4 2.917427+0 2.056933-4 3.349654+0 1.670568-4 3.890451+0 1.343513-4 4.570882+0 1.070769-4 5.370318+0 8.598030-5 6.382635+0 6.847987-5 7.673615+0 5.412706-5 9.440609+0 4.189934-5 1.200000+1 3.143800-5 1.600000+1 2.254600-5 2.089296+1 1.671260-5 2.754229+1 1.234653-5 3.845918+1 8.630998-6 5.888437+1 5.516703-6 9.225714+1 3.469724-6 1.778279+2 1.776870-6 3.548134+2 8.843609-7 1.412538+3 2.209926-7 1.000000+5 3.117100-9 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 8.734000-5 3.415900-5 1.000000+5 3.415900-5 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 8.734000-5 1.492800-9 1.000000+5 1.492800-9 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 8.734000-5 5.317951-5 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 6.830000-5 1.948332+6 6.890000-5 1.974540+6 6.950000-5 1.989248+6 7.030000-5 1.994556+6 7.110000-5 1.986824+6 7.190000-5 1.969656+6 7.300000-5 1.933976+6 7.413102-5 1.887367+6 7.500000-5 1.846756+6 7.668800-5 1.760386+6 7.852356-5 1.660816+6 8.080000-5 1.536308+6 8.317638-5 1.410563+6 8.650000-5 1.247916+6 1.000000-4 7.756640+5 1.059254-4 6.464927+5 1.109175-4 5.625495+5 1.161449-4 4.928529+5 1.216186-4 4.349220+5 1.273503-4 3.866886+5 1.333521-4 3.464801+5 1.380384-4 3.207741+5 1.442400-4 2.927514+5 1.500000-4 2.715608+5 1.566751-4 2.515011+5 1.640590-4 2.336031+5 1.720000-4 2.180996+5 1.820000-4 2.025380+5 1.927525-4 1.892106+5 2.089296-4 1.733879+5 2.344229-4 1.545172+5 3.273407-4 1.124789+5 3.758374-4 9.796771+4 4.265795-4 8.571407+4 4.841724-4 7.443005+4 5.559043-4 6.330070+4 6.309573-4 5.416493+4 7.244360-4 4.532359+4 8.317638-4 3.765088+4 9.660509-4 3.053452+4 1.109175-3 2.499001+4 1.288250-3 1.995932+4 1.479108-3 1.610524+4 1.698244-3 1.291113+4 1.972423-3 1.008110+4 2.264644-3 7.960441+3 2.600160-3 6.240575+3 2.985383-3 4.855266+3 3.427678-3 3.746892+3 3.890451-3 2.934013+3 4.415704-3 2.281920+3 5.069907-3 1.721376+3 5.754399-3 1.320129+3 6.531306-3 1.005356+3 7.498942-3 7.410877+2 8.511380-3 5.564135+2 9.772372-3 4.039218+2 1.109175-2 2.990061+2 1.258925-2 2.198182+2 1.428894-2 1.605030+2 1.640590-2 1.130161+2 1.883649-2 7.894810+1 2.162719-2 5.472724+1 2.483133-2 3.764847+1 2.851018-2 2.570209+1 3.235937-2 1.798862+1 3.758374-2 1.170685+1 4.415704-2 7.310764+0 5.188000-2 4.530266+0 6.095369-2 2.787079+0 7.328245-2 1.585977+0 9.120108-2 8.051443-1 1.135011-1 4.058464-1 1.717908-1 1.103565-1 2.137962-1 5.588205-2 2.511886-1 3.407038-2 2.884032-1 2.244125-2 3.273407-1 1.540597-2 3.715352-1 1.065462-2 4.168694-1 7.675970-3 4.677351-1 5.573085-3 5.188000-1 4.207612-3 5.754399-1 3.199422-3 6.382635-1 2.451270-3 7.079458-1 1.892638-3 7.852356-1 1.472526-3 8.709636-1 1.150040-3 9.332543-1 9.816998-4 9.885531-1 8.654833-4 1.071519+0 7.322353-4 1.161449+0 6.236651-4 1.273503+0 5.229459-4 1.412538+0 4.324583-4 1.717908+0 3.049497-4 1.927525+0 2.499787-4 2.213095+0 1.988298-4 2.570396+0 1.563237-4 2.951209+0 1.260709-4 3.388442+0 1.024548-4 3.935501+0 8.244180-5 4.623810+0 6.574053-5 5.432503+0 5.281456-5 6.456542+0 4.208526-5 7.762471+0 3.327967-5 9.549926+0 2.577284-5 1.216186+1 1.930587-5 1.603245+1 1.403262-5 2.089296+1 1.042505-5 2.754229+1 7.701745-6 3.890451+1 5.318715-6 6.025596+1 3.359780-6 9.440609+1 2.113961-6 1.798871+2 1.095555-6 3.589219+2 5.453149-7 1.428894+3 1.362740-7 1.000000+5 1.944400-9 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 6.830000-5 2.899800-5 1.000000+5 2.899800-5 1 80000 7 7 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 6.830000-5 5.35070-10 1.000000+5 5.35070-10 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 6.830000-5 3.930146-5 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.598000-5 4.048520+6 1.635000-5 4.025720+6 1.670000-5 4.032080+6 1.710000-5 4.068600+6 1.750000-5 4.133440+6 1.798871-5 4.247191+6 1.850000-5 4.402800+6 1.905461-5 4.611028+6 1.972423-5 4.910094+6 2.041738-5 5.269307+6 2.113489-5 5.689096+6 2.213400-5 6.348275+6 2.371374-5 7.546394+6 2.660725-5 1.012243+7 2.818383-5 1.164572+7 2.917427-5 1.260709+7 3.019952-5 1.357943+7 3.126079-5 1.453363+7 3.230000-5 1.538852+7 3.330000-5 1.611244+7 3.427678-5 1.670346+7 3.507519-5 1.708867+7 3.589219-5 1.738613+7 3.672823-5 1.758718+7 3.770000-5 1.769064+7 3.850000-5 1.767416+7 3.950000-5 1.753216+7 4.030000-5 1.732948+7 4.120975-5 1.701412+7 4.229500-5 1.653889+7 4.350000-5 1.591444+7 4.466836-5 1.524255+7 4.610000-5 1.436884+7 4.731513-5 1.360952+7 4.900000-5 1.256108+7 5.080000-5 1.148192+7 5.300000-5 1.025048+7 5.559043-5 8.948043+6 5.821032-5 7.797555+6 6.150000-5 6.569560+6 6.500000-5 5.487960+6 6.839116-5 4.622914+6 7.244360-5 3.780060+6 7.650000-5 3.100976+6 8.035261-5 2.576743+6 8.500000-5 2.069168+6 9.000000-5 1.642280+6 9.500000-5 1.310200+6 1.011579-4 9.998089+5 1.071519-4 7.750837+5 1.148154-4 5.665619+5 1.230269-4 4.111790+5 1.333521-4 2.806779+5 1.548817-4 1.370806+5 1.621810-4 1.105857+5 1.678804-4 9.462725+4 1.737801-4 8.150507+4 1.780000-4 7.385000+4 1.820000-4 6.770720+4 1.865000-4 6.189600+4 1.905461-4 5.751715+4 1.950000-4 5.348280+4 1.995262-4 5.010055+4 2.041738-4 4.726387+4 2.089296-4 4.492241+4 2.137962-4 4.301829+4 2.190000-4 4.143800+4 2.240000-4 4.028720+4 2.290868-4 3.942091+4 2.350000-4 3.873124+4 2.400000-4 3.836476+4 2.454709-4 3.814527+4 2.540000-4 3.809160+4 2.630268-4 3.831111+4 2.754229-4 3.889966+4 3.235937-4 4.178536+4 3.467369-4 4.280751+4 3.715352-4 4.349196+4 3.935501-4 4.375958+4 4.168694-4 4.375082+4 4.415704-4 4.343483+4 4.677351-4 4.284206+4 5.011872-4 4.179852+4 5.308844-4 4.069116+4 5.688529-4 3.910956+4 6.095369-4 3.729757+4 6.531306-4 3.530517+4 7.000000-4 3.318340+4 7.498942-4 3.100702+4 8.128305-4 2.842116+4 8.810489-4 2.584842+4 9.549926-4 2.334467+4 1.035142-3 2.094133+4 1.122018-3 1.866102+4 1.224700-3 1.634438+4 1.333521-3 1.426762+4 1.462177-3 1.222442+4 1.603245-3 1.039767+4 1.757924-3 8.779516+3 1.927525-3 7.359519+3 2.113489-3 6.125479+3 2.317395-3 5.062939+3 2.540973-3 4.156178+3 2.786121-3 3.389016+3 3.054921-3 2.745373+3 3.388442-3 2.149618+3 3.758374-3 1.669813+3 4.168694-3 1.287024+3 4.623810-3 9.845039+2 5.128614-3 7.477084+2 5.688529-3 5.639620+2 6.309573-3 4.223883+2 7.000000-3 3.139968+2 7.852356-3 2.244743+2 8.709636-3 1.648339+2 9.772372-3 1.160176+2 1.096478-2 8.106959+1 1.230269-2 5.624894+1 1.380384-2 3.875504+1 1.548817-2 2.651799+1 1.757924-2 1.733442+1 2.000000-2 1.115570+1 2.290868-2 6.960530+0 2.630268-2 4.274757+0 3.054921-2 2.500868+0 3.548134-2 1.451973+0 4.216965-2 7.691949-1 5.069907-2 3.875332-1 6.382635-2 1.629505-1 1.188502-1 1.547156-2 1.479108-1 6.801495-3 1.757924-1 3.576800-3 2.018366-1 2.152612-3 2.317395-1 1.305796-3 2.630268-1 8.317400-4 2.985383-1 5.337514-4 3.349654-1 3.589911-4 3.758374-1 2.432604-4 4.168694-1 1.725956-4 4.623810-1 1.233446-4 5.128614-1 8.880697-5 5.623413-1 6.675631-5 6.095369-1 5.232088-5 6.683439-1 3.993601-5 7.328245-1 3.071329-5 8.035261-1 2.377408-5 8.609938-1 1.957574-5 9.120108-1 1.675555-5 9.549926-1 1.487814-5 1.000000+0 1.329200-5 1.047129+0 1.195896-5 1.096478+0 1.083289-5 1.161449+0 9.650047-6 1.230269+0 8.656930-6 1.333521+0 7.485220-6 1.479108+0 6.260277-6 1.862087+0 4.174664-6 2.044000+0 3.566200-6 2.371374+0 2.797605-6 2.754229+0 2.207345-6 3.126079+0 1.818170-6 3.630781+0 1.457261-6 4.265795+0 1.157549-6 5.011872+0 9.265306-7 5.956621+0 7.357432-7 7.161434+0 5.798996-7 8.609938+0 4.604980-7 1.047129+1 3.629994-7 1.258925+1 2.918605-7 1.621810+1 2.179697-7 2.113489+1 1.619940-7 2.786121+1 1.197123-7 3.935501+1 8.269138-8 6.095369+1 5.224756-8 9.660509+1 3.249453-8 1.840772+2 1.684441-8 3.672823+2 8.385689-9 1.462177+3 2.095762-9 1.000000+5 3.06020-11 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.598000-5 1.598000-5 1.000000+5 1.598000-5 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.598000-5 0.0 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 1.396000-5 7.067760+6 1.428894-5 7.079555+6 1.462177-5 7.129283+6 1.500000-5 7.227720+6 1.531087-5 7.338800+6 1.570000-5 7.512840+6 1.621810-5 7.797969+6 1.678804-5 8.173983+6 1.737801-5 8.623214+6 1.805600-5 9.206446+6 1.900000-5 1.012242+7 2.018366-5 1.141740+7 2.290868-5 1.487522+7 2.500000-5 1.781568+7 2.650000-5 1.995738+7 2.770000-5 2.161632+7 2.884032-5 2.309050+7 2.985383-5 2.427352+7 3.090295-5 2.533338+7 3.190000-5 2.615358+7 3.273407-5 2.668118+7 3.370000-5 2.709798+7 3.467369-5 2.730152+7 3.548134-5 2.730789+7 3.650000-5 2.711730+7 3.730000-5 2.682474+7 3.830000-5 2.630250+7 3.935501-5 2.559051+7 4.030000-5 2.483898+7 4.150000-5 2.376918+7 4.265795-5 2.265884+7 4.400000-5 2.131884+7 4.518559-5 2.012400+7 4.677351-5 1.855205+7 4.850000-5 1.692072+7 5.011872-5 1.548825+7 5.248075-5 1.358507+7 5.500000-5 1.180410+7 5.821032-5 9.882965+6 6.165950-5 8.190003+6 6.531306-5 6.734626+6 6.918310-5 5.496413+6 7.300000-5 4.515666+6 7.673615-5 3.736572+6 8.035261-5 3.119566+6 8.500000-5 2.484732+6 8.912509-5 2.038269+6 9.440609-5 1.590494+6 1.000000-4 1.232244+6 1.060000-4 9.451620+5 1.135011-4 6.870483+5 1.220000-4 4.871010+5 1.430000-4 2.260986+5 1.500000-4 1.803690+5 1.560000-4 1.507944+5 1.603245-4 1.337473+5 1.655900-4 1.168545+5 1.698244-4 1.058177+5 1.740000-4 9.678480+4 1.780000-4 8.958900+4 1.820000-4 8.359740+4 1.862087-4 7.839058+4 1.905461-4 7.401440+4 1.950000-4 7.040160+4 1.995262-4 6.749865+4 2.041738-4 6.518941+4 2.089296-4 6.340519+4 2.137962-4 6.207082+4 2.190000-4 6.109260+4 2.240000-4 6.051060+4 2.300000-4 6.018420+4 2.380000-4 6.021600+4 2.480000-4 6.075720+4 2.600160-4 6.186014+4 3.000000-4 6.610380+4 3.200000-4 6.771060+4 3.388442-4 6.872049+4 3.600000-4 6.933480+4 3.850000-4 6.942360+4 4.090000-4 6.895260+4 4.315191-4 6.814692+4 4.570882-4 6.685944+4 4.841724-4 6.518947+4 5.188000-4 6.278372+4 5.559043-4 6.001663+4 5.956621-4 5.694615+4 6.382635-4 5.364092+4 6.839116-4 5.019100+4 7.413102-4 4.609038+4 8.035261-4 4.199171+4 8.709636-4 3.796756+4 9.440609-4 3.410267+4 1.023293-3 3.043680+4 1.109175-3 2.698797+4 1.202264-3 2.377998+4 1.318257-3 2.042524+4 1.445440-3 1.740983+4 1.584893-3 1.473396+4 1.737801-3 1.238121+4 1.905461-3 1.032995+4 2.089296-3 8.557941+3 2.290868-3 7.040833+3 2.511886-3 5.753296+3 2.754229-3 4.669798+3 3.019952-3 3.765446+3 3.349654-3 2.932690+3 3.715352-3 2.266019+3 4.120975-3 1.737431+3 4.570882-3 1.322181+3 5.069907-3 9.988023+2 5.623413-3 7.491202+2 6.237348-3 5.579068+2 6.760830-3 4.408597+2 7.498942-3 3.234462+2 8.609938-3 2.122796+2 9.660509-3 1.484230+2 1.071519-2 1.068564+2 1.202264-2 7.363785+1 1.348963-2 5.037845+1 1.513561-2 3.422139+1 1.717908-2 2.218485+1 1.949845-2 1.426931+1 2.213095-2 9.109308+0 2.540973-2 5.538457+0 2.917427-2 3.341667+0 3.349654-2 2.001632+0 3.935501-2 1.092069+0 4.677351-2 5.660126-1 5.559043-2 2.911706-1 7.161434-2 1.088368-1 1.148154-1 1.728549-2 1.396368-1 8.111687-3 1.659587-1 4.190676-3 1.905461-1 2.488582-3 2.137962-1 1.623179-3 2.398833-1 1.066502-3 2.660725-1 7.356559-4 2.951209-1 5.109056-4 3.273407-1 3.573523-4 3.589219-1 2.618107-4 3.935501-1 1.931147-4 4.315191-1 1.434965-4 4.731513-1 1.074335-4 5.188000-1 8.106038-5 5.623413-1 6.377360-5 6.095369-1 5.050578-5 6.606935-1 4.029030-5 7.161434-1 3.235301-5 7.762471-1 2.614384-5 8.609938-1 1.994503-5 9.120108-1 1.725841-5 9.660509-1 1.503889-5 1.011579+0 1.355317-5 1.071519+0 1.198310-5 1.148154+0 1.041804-5 1.230269+0 9.121833-6 1.333521+0 7.866161-6 1.798871+0 4.633804-6 2.000000+0 3.867200-6 2.317395+0 3.036816-6 2.691535+0 2.393187-6 3.090295+0 1.934860-6 3.589219+0 1.549816-6 4.216965+0 1.230369-6 4.954502+0 9.843320-7 5.888437+0 7.812389-7 7.079458+0 6.154723-7 8.511380+0 4.885218-7 1.035142+1 3.849182-7 1.258925+1 3.052569-7 1.621810+1 2.279746-7 2.113489+1 1.694299-7 2.786121+1 1.252024-7 3.935501+1 8.648622-8 6.095369+1 5.464493-8 9.660509+1 3.398543-8 1.840772+2 1.761752-8 3.672823+2 8.770584-9 1.462177+3 2.191989-9 1.000000+5 3.20060-11 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 1.396000-5 1.396000-5 1.000000+5 1.396000-5 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 1.396000-5 0.0 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 9.550000-6 7.701020+6 9.885531-6 6.710241+6 1.122018-5 3.989338+6 1.288250-5 2.244899+6 1.462177-5 1.315160+6 1.678804-5 7.284350+5 2.150000-5 2.507240+5 2.344229-5 1.737928+5 2.483133-5 1.369998+5 2.610000-5 1.122030+5 2.730000-5 9.433120+4 2.851018-5 8.037548+4 2.951209-5 7.119842+4 3.054921-5 6.346567+4 3.162278-5 5.696860+4 3.273407-5 5.152859+4 3.350000-5 4.839860+4 3.450000-5 4.493700+4 3.548134-5 4.211287+4 3.650000-5 3.967340+4 3.770000-5 3.732240+4 3.900000-5 3.528560+4 4.030000-5 3.366680+4 4.168694-5 3.229966+4 4.315191-5 3.116849+4 4.500000-5 3.008560+4 4.677351-5 2.930983+4 4.900000-5 2.858820+4 5.188000-5 2.792507+4 5.623413-5 2.724218+4 6.683439-5 2.601152+4 7.300000-5 2.523360+4 7.943282-5 2.432608+4 8.609938-5 2.331200+4 9.332543-5 2.216716+4 1.011579-4 2.091488+4 1.109175-4 1.941308+4 1.220000-4 1.783230+4 1.364583-4 1.599728+4 1.548817-4 1.403457+4 1.800000-4 1.190862+4 2.951209-4 6.789178+3 3.311311-4 5.923135+3 3.715352-4 5.132234+3 4.120975-4 4.483450+3 4.786301-4 3.653676+3 6.683439-4 2.280723+3 7.762471-4 1.837066+3 9.015711-4 1.467665+3 1.230269-3 9.097342+2 1.531087-3 6.455621+2 1.905461-3 4.543551+2 2.344229-3 3.233548+2 3.672823-3 1.483496+2 4.623810-3 9.994785+1 5.128614-3 8.332596+1 5.956621-3 6.349771+1 7.079458-3 4.603338+1 9.120108-3 2.840696+1 1.109175-2 1.941448+1 1.348963-2 1.316584+1 1.640590-2 8.858657+0 1.972423-2 6.055900+0 2.371374-2 4.108167+0 2.851018-2 2.765181+0 3.388442-2 1.893971+0 4.027170-2 1.288081+0 4.786301-2 8.698394-1 5.688529-2 5.829910-1 6.839116-2 3.775624-1 8.317638-2 2.361241-1 1.011580-1 1.462385-1 1.288250-1 8.022210-2 1.862087-1 3.179895-2 2.660725-1 1.294135-2 3.273407-1 7.730894-3 3.890451-1 5.069434-3 4.518559-1 3.543277-3 5.188000-1 2.564134-3 5.888437-1 1.919176-3 6.683439-1 1.447099-3 7.585776-1 1.099301-3 8.609938-1 8.412592-4 9.660509-1 6.645047-4 1.122018+0 4.940676-4 1.273503+0 3.868102-4 1.445440+0 3.052146-4 1.640590+0 2.426899-4 1.840772+0 1.984702-4 2.065380+0 1.635292-4 2.398833+0 1.281335-4 2.786121+0 1.011556-4 3.162278+0 8.336708-5 3.672823+0 6.685546-5 4.315191+0 5.313488-5 5.069907+0 4.255386-5 6.025596+0 3.380877-5 7.244360+0 2.666026-5 8.709636+0 2.118051-5 1.047129+1 1.693432-5 1.258925+1 1.361577-5 1.621810+1 1.016829-5 2.113489+1 7.557207-6 2.800000+1 5.554600-6 3.981072+1 3.810904-6 6.165950+1 2.408368-6 9.885531+1 1.480640-6 1.862087+2 7.767081-7 3.715352+2 3.866976-7 1.479108+3 9.665011-8 1.000000+5 1.427600-9 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 9.550000-6 9.550000-6 1.000000+5 9.550000-6 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 9.550000-6 0.0 1.000000+5 1.000000+5 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 5.657220-7 1.026100+0 1.279150-6 1.026600+0 1.803300-6 1.027100+0 2.453430-6 1.027500+0 3.072890-6 1.028100+0 4.183690-6 1.028750+0 5.657220-6 1.029500+0 7.742060-6 1.030100+0 9.736570-6 1.031000+0 1.332290-5 1.032000+0 1.822910-5 1.033200+0 2.553590-5 1.034000+0 3.134770-5 1.035300+0 4.255010-5 1.036640+0 5.657220-5 1.038200+0 7.634600-5 1.039700+0 9.918880-5 1.041500+0 1.319690-4 1.043800+0 1.831780-4 1.046400+0 2.548580-4 1.048300+0 3.173050-4 1.051200+0 4.304170-4 1.054080+0 5.657220-4 1.057700+0 7.711160-4 1.061100+0 1.003030-3 1.065100+0 1.327900-3 1.070400+0 1.852570-3 1.076200+0 2.560250-3 1.080600+0 3.197330-3 1.087100+0 4.307850-3 1.093710+0 5.657220-3 1.102600+0 7.843500-3 1.110700+0 1.022920-2 1.120600+0 1.368320-2 1.133300+0 1.902480-2 1.147500+0 2.626690-2 1.158200+0 3.264310-2 1.174100+0 4.363000-2 1.190110+0 5.657220-2 1.205100+0 7.042890-2 1.227500+0 9.427210-2 1.250000+0 1.218000-1 1.265600+0 1.427980-1 1.294900+0 1.860490-1 1.331800+0 2.466290-1 1.362600+0 3.015500-1 1.397000+0 3.666020-1 1.433800+0 4.396980-1 1.477900+0 5.312060-1 1.500000+0 5.785000-1 1.562500+0 7.167580-1 1.617200+0 8.421970-1 1.712900+0 1.067710+0 1.784700+0 1.239780+0 1.892300+0 1.498560+0 2.000000+0 1.756000+0 2.044000+0 1.860000+0 2.163500+0 2.137940+0 2.372600+0 2.606850+0 2.686300+0 3.267410+0 3.000000+0 3.882000+0 3.500000+0 4.783280+0 4.000000+0 5.604000+0 5.000000+0 7.046000+0 6.000000+0 8.288000+0 7.000000+0 9.382000+0 8.000000+0 1.037000+1 9.000000+0 1.126000+1 1.000000+1 1.209000+1 1.100000+1 1.285000+1 1.200000+1 1.356000+1 1.300000+1 1.422000+1 1.400000+1 1.484000+1 1.500000+1 1.542000+1 1.600000+1 1.596000+1 1.800000+1 1.694000+1 2.000000+1 1.781000+1 2.200000+1 1.859000+1 2.400000+1 1.931000+1 2.600000+1 1.997000+1 2.800000+1 2.057000+1 3.000000+1 2.113000+1 4.000000+1 2.339000+1 5.000000+1 2.507000+1 6.000000+1 2.638000+1 8.000000+1 2.830000+1 1.000000+2 2.965000+1 1.500000+2 3.178000+1 2.000000+2 3.304000+1 3.000000+2 3.451000+1 4.000000+2 3.535000+1 5.000000+2 3.590000+1 6.000000+2 3.629000+1 8.000000+2 3.681000+1 1.000000+3 3.715000+1 1.500000+3 3.764000+1 2.000000+3 3.790000+1 3.000000+3 3.819000+1 4.000000+3 3.834000+1 5.000000+3 3.844000+1 6.000000+3 3.851000+1 8.000000+3 3.859000+1 1.000000+4 3.865000+1 1.500000+4 3.873000+1 2.000000+4 3.877000+1 3.000000+4 3.881000+1 4.000000+4 3.883000+1 5.000000+4 3.885000+1 6.000000+4 3.886000+1 8.000000+4 3.887000+1 1.000000+5 3.888000+1 1 80000 7 8 2.005900+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 8.008960-7 2.090400+0 1.087420-6 2.094700+0 1.410000-6 2.099900+0 1.875810-6 2.106600+0 2.609410-6 2.114000+0 3.610440-6 2.119500+0 4.494980-6 2.127900+0 6.096040-6 2.136250+0 8.008960-6 2.147000+0 1.098080-5 2.156900+0 1.426280-5 2.169000+0 1.903460-5 2.184500+0 2.645870-5 2.201800+0 3.660640-5 2.214800+0 4.560870-5 2.234200+0 6.135180-5 2.253680+0 8.008960-5 2.281500+0 1.121800-4 2.307000+0 1.473470-4 2.338200+0 1.981210-4 2.377400+0 2.743740-4 2.410200+0 3.489580-4 2.446800+0 4.438940-4 2.485900+0 5.588870-4 2.532900+0 7.152560-4 2.556430+0 8.008960-4 2.611900+0 1.021230-3 2.660400+0 1.234620-3 2.745300+0 1.652470-3 2.809000+0 2.001240-3 2.904500+0 2.578110-3 3.000000+0 3.218000-3 3.125000+0 4.149370-3 3.234400+0 5.048640-3 3.425800+0 6.797950-3 3.569300+0 8.242340-3 3.784700+0 1.059360-2 4.000000+0 1.312000-2 4.250000+0 1.620700-2 4.625000+0 2.105460-2 5.000000+0 2.609000-2 5.500000+0 3.299610-2 6.000000+0 3.999000-2 6.750000+0 5.039020-2 7.000000+0 5.381000-2 8.000000+0 6.717000-2 9.000000+0 7.992000-2 1.000000+1 9.202000-2 1.100000+1 1.034000-1 1.200000+1 1.142000-1 1.300000+1 1.243000-1 1.400000+1 1.339000-1 1.500000+1 1.430000-1 1.600000+1 1.516000-1 1.800000+1 1.675000-1 2.000000+1 1.819000-1 2.200000+1 1.951000-1 2.400000+1 2.071000-1 2.600000+1 2.182000-1 2.800000+1 2.285000-1 3.000000+1 2.380000-1 4.000000+1 2.772000-1 5.000000+1 3.066000-1 6.000000+1 3.297000-1 8.000000+1 3.643000-1 1.000000+2 3.891000-1 1.500000+2 4.297000-1 2.000000+2 4.548000-1 3.000000+2 4.851000-1 4.000000+2 5.031000-1 5.000000+2 5.153000-1 6.000000+2 5.241000-1 8.000000+2 5.363000-1 1.000000+3 5.443000-1 1.500000+3 5.562000-1 2.000000+3 5.629000-1 3.000000+3 5.702000-1 4.000000+3 5.745000-1 5.000000+3 5.771000-1 6.000000+3 5.789000-1 8.000000+3 5.814000-1 1.000000+4 5.829000-1 1.500000+4 5.849000-1 2.000000+4 5.862000-1 3.000000+4 5.873000-1 4.000000+4 5.881000-1 5.000000+4 5.885000-1 6.000000+4 5.888000-1 8.000000+4 5.891000-1 1.000000+5 5.893000-1 1 80000 7 8 2.005900+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 80000 7 9 2.005900+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 8.000000+1 1.000000+5 8.000000+1 5.000000+5 7.997700+1 8.750000+5 7.994710+1 1.000000+6 7.994000+1 1.375000+6 7.989840+1 1.500000+6 7.988700+1 2.000000+6 7.979900+1 2.500000+6 7.968800+1 3.000000+6 7.955400+1 3.500000+6 7.939590+1 4.000000+6 7.921800+1 4.500000+6 7.902310+1 5.000000+6 7.880800+1 5.687500+6 7.847470+1 6.156200+6 7.822580+1 6.500000+6 7.804030+1 6.718700+6 7.791280+1 7.000000+6 7.775500+1 7.500000+6 7.744860+1 8.250000+6 7.698070+1 9.000000+6 7.649000+1 1.000000+7 7.580200+1 1.109400+7 7.500950+1 1.187500+7 7.442000+1 1.250000+7 7.394200+1 1.437500+7 7.246000+1 1.500000+7 7.196500+1 1.750000+7 6.995100+1 2.000000+7 6.790300+1 2.250000+7 6.585540+1 2.375000+7 6.483510+1 2.500000+7 6.383300+1 2.875000+7 6.087190+1 3.000000+7 5.991800+1 3.437500+7 5.668590+1 3.750000+7 5.452640+1 4.000000+7 5.289000+1 4.500000+7 4.985870+1 4.750000+7 4.845250+1 5.000000+7 4.712200+1 5.750000+7 4.348050+1 6.000000+7 4.237300+1 6.750000+7 3.928890+1 7.000000+7 3.833300+1 7.750000+7 3.562260+1 8.000000+7 3.476900+1 8.750000+7 3.232080+1 9.000000+7 3.154500+1 9.750000+7 2.931840+1 1.000000+8 2.861300+1 1.062500+8 2.692280+1 1.203100+8 2.358130+1 1.250000+8 2.261000+1 1.437500+8 1.941130+1 1.500000+8 1.857400+1 1.625000+8 1.718910+1 1.750000+8 1.606920+1 2.000000+8 1.427900+1 2.250000+8 1.282940+1 2.500000+8 1.164800+1 2.671900+8 1.094590+1 2.789100+8 1.046130+1 2.875000+8 1.008350+1 2.894500+8 9.994550+0 2.973600+8 9.620380+0 3.000000+8 9.491300+0 3.062500+8 9.176020+0 3.335900+8 7.889950+0 3.445300+8 7.496560+0 3.500000+8 7.334400+0 3.562500+8 7.178480+0 4.000000+8 6.408700+0 4.125000+8 6.162140+0 4.234400+8 5.931490+0 4.425800+8 5.524040+0 4.750000+8 4.914910+0 4.784700+8 4.859030+0 4.928200+8 4.648860+0 5.000000+8 4.557400+0 5.125000+8 4.420290+0 6.000000+8 3.765800+0 6.250000+8 3.581080+0 6.812500+8 3.190710+0 7.000000+8 3.083300+0 7.625000+8 2.793040+0 7.875000+8 2.676120+0 8.000000+8 2.613700+0 8.125000+8 2.547540+0 1.000000+9 1.674600+0 1.031300+9 1.593090+0 1.060500+9 1.531840+0 1.100900+9 1.465050+0 1.137900+9 1.417640+0 1.183200+9 1.372450+0 1.375000+9 1.253490+0 1.500000+9 1.190300+0 1.562500+9 1.153360+0 1.641100+9 1.103500+0 1.706900+9 1.060290+0 1.811600+9 9.912860-1 1.905800+9 9.308250-1 2.000000+9 8.732200-1 2.139200+9 7.943090-1 2.272600+9 7.256280-1 2.443000+9 6.470670-1 2.602800+9 5.820430-1 2.750000+9 5.286800-1 2.822900+9 5.043570-1 3.024800+9 4.436020-1 3.271700+9 3.807500-1 3.487700+9 3.343620-1 3.759500+9 2.853670-1 3.986900+9 2.509670-1 4.348700+9 2.061370-1 4.674400+9 1.739680-1 5.000000+9 1.478000-1 5.375000+9 1.234440-1 5.703100+9 1.061480-1 6.277300+9 8.265670-2 7.031000+9 6.105390-2 8.000000+9 4.294200-2 1.00000+10 2.317400-2 2.08110+10 3.045730-3 3.07100+10 1.040570-3 4.80320+10 3.041660-4 7.40160+10 9.315620-5 1.00000+11 4.105200-5 1.34280+11 1.846260-5 2.20600+11 4.842380-6 4.19930+11 8.649560-7 1.03480+12 7.909920-8 3.24440+12 3.926350-9 1.00000+14 5.22170-13 3.16230+15 6.21137-17 1.00000+17 7.01940-21 1 80000 7 0 2.005900+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 6.90000-12 1.000000+2 6.90000-10 1.000000+3 6.900000-8 1.000000+4 6.900000-6 1.000000+5 6.900000-4 5.000000+5 1.725000-2 8.750000+5 5.282813-2 1.000000+6 6.900000-2 1.375000+6 1.305770-1 1.500000+6 1.552000-1 2.000000+6 2.731000-1 2.500000+6 4.212000-1 3.000000+6 5.969000-1 3.500000+6 7.975480-1 4.000000+6 1.020200+0 4.500000+6 1.261760+0 5.000000+6 1.519000+0 5.687500+6 1.892510+0 6.156200+6 2.157240+0 6.500000+6 2.355040+0 6.718700+6 2.482060+0 7.000000+6 2.646800+0 7.500000+6 2.941340+0 8.250000+6 3.385140+0 9.000000+6 3.827500+0 1.000000+7 4.409000+0 1.109400+7 5.032510+0 1.187500+7 5.469350+0 1.250000+7 5.814700+0 1.437500+7 6.827040+0 1.500000+7 7.159000+0 1.750000+7 8.470800+0 2.000000+7 9.766000+0 2.250000+7 1.104650+1 2.375000+7 1.168080+1 2.500000+7 1.231000+1 2.875000+7 1.416340+1 3.000000+7 1.477200+1 3.437500+7 1.686420+1 3.750000+7 1.833080+1 4.000000+7 1.948900+1 4.500000+7 2.176420+1 4.750000+7 2.287250+1 5.000000+7 2.396000+1 5.750000+7 2.704360+1 6.000000+7 2.800500+1 6.750000+7 3.066380+1 7.000000+7 3.148000+1 7.750000+7 3.373250+1 8.000000+7 3.442900+1 8.750000+7 3.637830+1 9.000000+7 3.699400+1 9.750000+7 3.874450+1 1.000000+8 3.930700+1 1.062500+8 4.066350+1 1.203100+8 4.351900+1 1.250000+8 4.442200+1 1.437500+8 4.780660+1 1.500000+8 4.886600+1 1.625000+8 5.087040+1 1.750000+8 5.274100+1 2.000000+8 5.606600+1 2.250000+8 5.887150+1 2.500000+8 6.121800+1 2.671900+8 6.259750+1 2.789100+8 6.344020+1 2.875000+8 6.402320+1 2.894500+8 6.414770+1 2.973600+8 6.464440+1 3.000000+8 6.480800+1 3.062500+8 6.517230+1 3.335900+8 6.662790+1 3.445300+8 6.715040+1 3.500000+8 6.739900+1 3.562500+8 6.767080+1 4.000000+8 6.937000+1 4.125000+8 6.978920+1 4.234400+8 7.014770+1 4.425800+8 7.073100+1 4.750000+8 7.162410+1 4.784700+8 7.171230+1 4.928200+8 7.207150+1 5.000000+8 7.224800+1 5.125000+8 7.253710+1 6.000000+8 7.427800+1 6.250000+8 7.468730+1 6.812500+8 7.548210+1 7.000000+8 7.572000+1 7.625000+8 7.638310+1 7.875000+8 7.661220+1 8.000000+8 7.671800+1 8.125000+8 7.681310+1 1.000000+9 7.788400+1 1.031300+9 7.800500+1 1.060500+9 7.811470+1 1.100900+9 7.824300+1 1.137900+9 7.835570+1 1.183200+9 7.848330+1 1.375000+9 7.888790+1 1.500000+9 7.909300+1 1.562500+9 7.917400+1 1.641100+9 7.927150+1 1.706900+9 7.934970+1 1.811600+9 7.945440+1 1.905800+9 7.953510+1 2.000000+9 7.961200+1 2.139200+9 7.969580+1 2.272600+9 7.975830+1 2.443000+9 7.982380+1 2.602800+9 7.987340+1 2.750000+9 7.990580+1 2.822900+9 7.992130+1 3.024800+9 7.994570+1 3.271700+9 7.997100+1 3.487700+9 7.998440+1 3.759500+9 7.999070+1 3.986900+9 7.999570+1 4.348700+9 7.999930+1 4.674400+9 7.999810+1 5.000000+9 7.999700+1 5.375000+9 7.999750+1 5.703100+9 7.999780+1 6.277300+9 7.999850+1 7.031000+9 7.999920+1 8.000000+9 8.000000+1 1.00000+10 8.000000+1 2.08110+10 8.000000+1 3.07100+10 8.000000+1 4.80320+10 8.000000+1 7.40160+10 8.000000+1 1.00000+11 8.000000+1 1.34280+11 8.000000+1 2.20600+11 8.000000+1 4.19930+11 8.000000+1 1.03480+12 8.000000+1 3.24440+12 8.000000+1 1.00000+14 8.000000+1 3.16230+15 8.000000+1 1.00000+17 8.000000+1 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.012538-6 0.0 5.308078-6 0.0 5.327676-6 2.881821+0 5.334209-6 3.830243+0 5.347274-6 6.996252+0 5.360339-6 1.179664+1 5.375037-6 1.936182+1 5.397927-6 3.392974+1 5.413416-6 4.318983+1 5.426864-6 4.861288+1 5.440194-6 5.030977+1 5.453633-6 4.789602+1 5.467543-6 4.166611+1 5.489584-6 2.782232+1 5.504056-6 1.880782+1 5.517121-6 1.214168+1 5.530186-6 7.235570+0 5.543251-6 3.980346+0 5.562032-6 1.138131+0 5.569382-6 0.0 5.918787-6 0.0 5.944281-6 6.506556+0 5.947923-6 7.426579+0 5.962492-6 1.356525+1 5.977060-6 2.287288+1 5.993449-6 3.754125+1 6.018972-6 6.578744+1 6.036244-6 8.374212+1 6.052260-6 9.454151+1 6.065549-6 9.768419+1 6.080376-6 9.337794+1 6.096224-6 8.117268+1 6.119158-6 5.625891+1 6.137312-6 3.646708+1 6.151880-6 2.354188+1 6.166448-6 1.402928+1 6.181017-6 7.717620+0 6.202869-6 1.961850+0 6.210153-6 0.0 6.884897-6 0.0 6.901843-6 3.58006-14 6.918790-6 7.08396-14 6.935736-6 1.29394-13 6.952682-6 2.18176-13 6.969629-6 3.39590-13 6.986575-6 4.87928-13 7.003521-6 6.47158-13 7.020467-6 7.92353-13 7.037414-6 8.95532-13 7.054360-6 9.34323-13 7.071306-6 8.99844-13 7.088253-6 8.00003-13 7.105199-6 6.56553-13 7.139091-6 3.47847-13 7.156038-6 2.24558-13 7.172984-6 1.33820-13 7.189930-6 7.36157-14 7.206877-6 3.73829-14 7.223823-6 0.0 7.718109-6 0.0 7.751354-6 1.275181-1 7.756103-6 1.455491-1 7.775100-6 2.658573-1 7.794691-6 4.560492-1 7.813243-6 7.001069-1 7.858298-6 1.442714+0 7.870086-6 1.847411+0 7.894992-6 2.541460+0 7.920296-6 3.347485+0 7.939142-6 4.126683+0 7.959446-6 5.199463+0 8.014290-6 8.610196+0 8.034465-6 9.398811+0 8.053901-6 9.559099+0 8.072768-6 9.070579+0 8.092812-6 7.895875+0 8.149300-6 3.446112+0 8.168736-6 2.215230+0 8.187115-6 1.347167+0 8.206458-6 7.410940-1 8.236094-6 1.762763-1 8.245142-6 1.409009-5 8.246482-6 1.341444-5 8.272642-6 3.836144-6 8.279365-6 1.322006-6 8.285355-6 0.0 8.457685-6 0.0 8.488911-6 2.675559-2 8.499320-6 3.556098-2 8.513111-6 5.501730-2 8.520137-6 1.019521-1 8.540955-6 2.555374-1 8.555018-6 3.693301-1 8.575972-6 6.206354-1 8.599941-6 1.038857+0 8.627734-6 1.664915+0 8.665860-6 2.596303+0 8.688771-6 3.012302+0 8.703422-6 3.185573+0 8.725690-6 3.205906+0 8.746876-6 2.986155+0 8.772676-6 2.463317+0 8.813595-6 1.452422+0 8.829170-6 1.133779+0 8.850129-6 7.997720-1 8.869328-6 6.030241-1 8.878675-6 5.607682-1 8.890282-6 5.362966-1 8.900369-6 5.528518-1 8.925436-6 6.517120-1 8.932189-6 6.881033-1 8.987143-6 1.294152+0 9.008836-6 1.468786+0 9.030530-6 1.550489+0 9.057201-6 1.520983+0 9.131862-6 1.210430+0 9.160691-6 1.160473+0 9.228055-6 1.184496+0 9.405434-6 1.123821+0 9.455459-6 1.118605+0 9.592071-6 1.123156+0 9.736808-6 1.000326+0 1.016080-5 8.730606-1 1.021082-5 2.984597+0 1.023583-5 4.734371+0 1.026241-5 7.618098+0 1.028898-5 1.158180+1 1.036088-5 2.459136+1 1.038924-5 2.783505+1 1.041442-5 2.869168+1 1.043821-5 2.752270+1 1.046541-5 2.402392+1 1.050786-5 1.629670+1 1.053595-5 1.121507+1 1.056096-5 7.510641+0 1.058597-5 4.782731+0 1.061098-5 2.970778+0 1.066100-5 7.515842-1 1.155948-5 5.834471-1 1.161638-5 2.244766+0 1.164483-5 3.620918+0 1.167637-5 6.018623+0 1.170352-5 8.786294+0 1.175602-5 1.546527+1 1.178798-5 1.930716+1 1.182000-5 2.180232+1 1.184702-5 2.248412+1 1.187506-5 2.153736+1 1.190602-5 1.878798+1 1.195633-5 1.246513+1 1.198956-5 8.385951+0 1.201471-5 5.811374+0 1.204317-5 3.668001+0 1.207162-5 2.244550+0 1.210027-5 1.380192+0 1.212852-5 6.970837-1 1.215983-5 9.058482-1 1.217015-5 1.021318+0 1.218962-5 1.308583+0 1.221940-5 1.920750+0 1.225136-5 2.844301+0 1.229452-5 4.475874+0 1.234281-5 6.469640+0 1.237594-5 7.535338+0 1.240360-5 8.065585+0 1.243383-5 8.111199+0 1.247132-5 7.432295+0 1.250714-5 6.225418+0 1.258092-5 3.275672+0 1.260658-5 2.434634+0 1.263637-5 1.688088+0 1.264943-5 1.435844+0 1.267939-5 9.510361-1 1.269593-5 7.310671-1 1.270934-5 6.498659-1 1.275515-5 4.794930-1 1.276925-5 4.621221-1 1.281794-5 5.812803-1 1.284933-5 7.106776-1 1.288250-5 9.237397-1 1.291380-5 1.198363+0 1.300800-5 2.211088+0 1.303940-5 2.434607+0 1.307080-5 2.530424+0 1.310220-5 2.481010+0 1.315243-5 2.148108+0 1.320093-5 1.766458+0 1.322780-5 1.610465+0 1.325920-5 1.523531+0 1.329059-5 1.516265+0 1.335339-5 1.654096+0 1.339958-5 1.722692+0 1.341507-5 1.757109+0 1.346096-5 1.784519+0 1.367755-5 1.716434+0 1.381948-5 1.594509+0 1.387368-5 1.524535+0 1.396946-5 1.517901+0 1.404175-5 1.839887+0 1.407418-5 2.063064+0 1.411316-5 2.462271+0 1.416143-5 3.153767+0 1.425245-5 4.588420+0 1.428760-5 4.964792+0 1.431798-5 5.132167+0 1.435705-5 5.049230+0 1.439722-5 4.690597+0 1.451960-5 2.996464+0 1.455399-5 2.617372+0 1.458837-5 2.327644+0 1.465714-5 1.922423+0 1.470906-5 1.846211+0 1.478146-5 1.883738+0 1.481767-5 1.950530+0 1.487205-5 2.153638+0 1.501828-5 2.971159+0 1.507419-5 3.155291+0 1.512971-5 3.113312+0 1.526488-5 2.704017+0 1.532681-5 2.656207+0 1.551385-5 2.811751+0 1.603431-5 2.878170+0 1.754517-5 3.394546+0 1.920232-5 4.244059+0 2.078313-5 5.336817+0 2.291026-5 7.213990+0 2.537860-5 9.963551+0 3.321704-5 2.040550+1 3.589219-5 2.290187+1 3.833297-5 2.409718+1 4.148648-5 2.412432+1 4.608000-5 2.215692+1 5.804296-5 1.483921+1 6.422225-5 1.183008+1 6.487431-5 1.205545+1 6.567271-5 1.323718+1 6.599525-5 1.320181+1 6.672914-5 1.242604+1 7.110000-5 1.121572+1 8.154072-5 8.048492+0 8.346494-5 7.615586+0 8.509857-5 7.864195+0 8.900158-5 7.355841+0 1.038877-4 5.043280+0 1.062119-4 4.772195+0 1.105815-4 4.522702+0 1.195853-4 4.152709+0 1.219310-4 4.329344+0 1.241783-4 4.002200+0 1.340000-4 3.493810+0 1.419912-4 3.234917+0 1.505353-4 3.165443+0 1.570737-4 3.278248+0 1.640250-4 3.559563+0 1.729101-4 4.147526+0 1.830846-4 5.129835+0 1.958513-4 6.797553+0 2.129116-4 9.638143+0 2.520000-4 1.671564+1 2.859211-4 2.182510+1 3.126079-4 2.475434+1 3.495315-4 2.733134+1 3.569513-4 2.853915+1 3.689764-4 2.898136+1 3.778687-4 2.996590+1 4.637137-4 3.108367+1 5.603478-4 3.039422+1 5.719475-4 3.145287+1 7.399658-4 2.824319+1 7.740161-4 2.750951+1 7.946338-4 2.752405+1 1.050147-3 2.199513+1 1.266193-3 1.841690+1 1.516988-3 1.526676+1 1.785231-3 1.274605+1 2.158690-3 1.020359+1 2.254249-3 9.801088+0 2.267071-3 1.023549+1 2.274981-3 1.097715+1 2.283685-3 1.244186+1 2.293324-3 1.487697+1 2.312715-3 2.056450+1 2.326093-3 2.312137+1 2.341209-3 2.426380+1 2.372909-3 2.518362+1 2.420248-3 2.963969+1 2.455736-3 3.046010+1 2.652883-3 3.043243+1 2.800768-3 2.903404+1 2.846664-3 3.099707+1 2.876887-3 3.178272+1 3.230868-3 2.724640+1 3.336499-3 2.750234+1 3.512482-3 2.593267+1 3.603561-3 2.577733+1 4.179817-3 2.095766+1 4.806907-3 1.714683+1 5.471539-3 1.415340+1 6.258985-3 1.157540+1 7.255583-3 9.228001+0 8.282363-3 7.515419+0 9.372922-3 6.187086+0 1.065369-2 5.047170+0 1.196764-2 4.193765+0 1.207280-2 4.242977+0 1.213127-2 4.500402+0 1.217636-2 4.948830+0 1.222673-2 5.770928+0 1.235592-2 8.520869+0 1.241019-2 9.289455+0 1.249675-2 9.778293+0 1.293184-2 9.373294+0 1.401693-2 8.250789+0 1.413160-2 8.537831+0 1.437274-2 1.039501+1 1.450414-2 1.069398+1 1.470652-2 1.081162+1 1.495159-2 1.160394+1 1.523969-2 1.149935+1 1.750869-2 9.271541+0 2.005571-2 7.470948+0 2.307391-2 5.954241+0 2.637590-2 4.777811+0 2.944200-2 3.981071+0 3.305627-2 3.275698+0 3.744076-2 2.653554+0 4.220894-2 2.160980+0 4.779418-2 1.744929+0 5.351512-2 1.434607+0 6.007445-2 1.172445+0 6.760830-2 9.534266-1 7.684038-2 7.610210-1 8.140160-2 6.932903-1 8.182988-2 7.169134-1 8.210020-2 7.681743-1 8.232430-2 8.509799-1 8.256592-2 9.980053-1 8.280432-2 1.211426+0 8.308215-2 1.537558+0 8.372539-2 2.389588+0 8.412344-2 2.770085+0 8.446665-2 2.951679+0 8.497628-2 3.041554+0 1.015613-1 2.317333+0 1.151800-1 1.893204+0 1.325315-1 1.502845+0 1.517487-1 1.200044+0 1.706491-1 9.872220-1 1.923601-1 8.093637-1 2.158865-1 6.685244-1 2.436819-1 5.475122-1 2.763894-1 4.463815-1 3.105132-1 3.710275-1 3.486308-1 3.098051-1 3.890451-1 2.623258-1 4.389248-1 2.196477-1 4.958960-1 1.848343-1 5.633538-1 1.556079-1 6.386081-1 1.324775-1 7.212827-1 1.143052-1 8.459482-1 9.530813-2 9.830255-1 8.115975-2 1.173413+0 6.677439-2 1.354851+0 5.680733-2 1.619761+0 4.644511-2 1.859734+0 3.975275-2 2.135261+0 3.402470-2 2.451607+0 2.912202-2 2.814822+0 2.492577-2 3.231848+0 2.133417-2 3.710658+0 1.826009-2 4.260405+0 1.562896-2 4.891600+0 1.337695-2 5.659549+0 1.135491-2 6.752287+0 9.304377-3 7.752663+0 7.963692-3 8.901248+0 6.816189-3 9.760024+0 6.144592-3 1.000000+1 1.273423-2 1 80000 7 0 2.005900+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-7.994238+1 3.012538-6-7.928787+1 4.650166-6-7.627700+1 5.088454-6-7.199666+1 5.231598-6-6.725099+1 5.291185-6-6.209157+1 5.334209-6-5.305733+1 5.364830-6-4.608028+1 5.377895-6-4.487790+1 5.393104-6-4.651770+1 5.407088-6-5.166688+1 5.425234-6-6.347378+1 5.444411-6-7.957420+1 5.450627-6-7.644351+1 5.468841-6-6.371085+1 5.485364-6-5.737659+1 5.502678-6-5.591409+1 5.524470-6-5.938931+1 5.587713-6-7.387120+1 5.657470-6-8.036177+1 5.832392-6-6.807175+1 5.886980-6-6.071899+1 5.913008-6-5.424286+1 5.928873-6-4.755623+1 5.947923-6-4.066373+1 5.964313-6-3.361630+1 5.982068-6-2.736982+1 5.993449-6-2.528941+1 5.999026-6-2.525807+1 6.008018-6-2.660344+1 6.013595-6-2.849836+1 6.020765-6-3.238681+1 6.030724-6-3.997753+1 6.044780-6-5.556715+1 6.062786-6-8.028432+1 6.082030-6-5.175763+1 6.096224-6-3.507940+1 6.104254-6-2.816749+1 6.109996-6-2.405927+1 6.115573-6-2.111463+1 6.120951-6-1.916604+1 6.129117-6-1.769236+1 6.135263-6-1.750435+1 6.148238-6-1.972301+1 6.164855-6-2.556953+1 6.186025-6-3.456782+1 6.209243-6-4.291836+1 6.219982-6-4.736645+1 6.250548-6-5.395178+1 6.303162-6-6.006716+1 6.403820-6-6.592392+1 6.633189-6-7.144523+1 7.223823-6-7.627572+1 7.778514-6-8.036137+1 7.897817-6-7.987420+1 7.997443-6-8.053102+1 8.023485-6-7.989453+1 8.111289-6-7.267934+1 8.183669-6-7.309612+1 8.356218-6-7.709517+1 8.665860-6-7.985376+1 8.813595-6-7.728532+1 9.030530-6-7.913703+1 9.902682-6-8.124309+1 1.012801-5-7.684096+1 1.028898-5-6.736898+1 1.033356-5-6.910564+1 1.037930-5-7.640796+1 1.040307-5-8.133503+1 1.046248-5-6.777889+1 1.050478-5-6.290280+1 1.054845-5-6.274050+1 1.071134-5-7.243888+1 1.099790-5-7.714132+1 1.147264-5-8.137945+1 1.162150-5-7.587169+1 1.171706-5-7.251787+1 1.177509-5-7.539451+1 1.182218-5-8.180689+1 1.191185-5-6.883476+1 1.196012-5-6.597846+1 1.203072-5-6.759516+1 1.221940-5-7.723399+1 1.233684-5-7.846531+1 1.253376-5-7.172699+1 1.272079-5-7.447601+1 1.299907-5-7.754217+1 1.325920-5-7.712060+1 1.410846-5-8.041739+1 1.431798-5-7.894207+1 1.451960-5-7.698800+1 1.503718-5-7.929972+1 2.665443-5-8.400864+1 3.273407-5-8.069740+1 4.500000-5-6.441543+1 5.219284-5-5.948674+1 6.138397-5-5.781974+1 6.553600-5-5.907892+1 6.672914-5-5.786403+1 7.897983-5-5.701187+1 8.789066-5-5.768852+1 1.368516-4-6.149899+1 2.071462-4-6.976343+1 2.520000-4-6.959453+1 3.808586-4-5.753441+1 4.637137-4-4.913864+1 5.488875-4-4.371325+1 5.719475-4-4.315647+1 6.003222-4-4.043550+1 7.059111-4-3.506050+1 8.850000-4-2.944378+1 1.050147-3-2.660809+1 1.266193-3-2.489971+1 1.516988-3-2.460211+1 1.785231-3-2.582583+1 1.989647-3-2.820870+1 2.127112-3-3.139185+1 2.205006-3-3.480349+1 2.247472-3-3.834806+1 2.278023-3-4.363092+1 2.295894-3-4.647076+1 2.312715-3-4.608759+1 2.349334-3-4.124837+1 2.397352-3-4.005543+1 2.455736-3-3.464217+1 2.529123-3-3.058566+1 2.652883-3-2.609671+1 2.755589-3-2.370472+1 2.800768-3-2.388452+1 2.831070-3-2.426927+1 2.854654-3-2.344952+1 2.907412-3-2.051317+1 2.985383-3-1.815784+1 3.103666-3-1.601494+1 3.206879-3-1.502883+1 3.276800-3-1.492651+1 3.360052-3-1.325766+1 3.461801-3-1.217484+1 3.547339-3-1.176326+1 3.627383-3-1.050488+1 3.775491-3-9.077905+0 3.995856-3-7.652532+0 4.275013-3-6.439101+0 4.598097-3-5.483736+0 4.945911-3-4.823980+0 5.351970-3-4.356435+0 5.846218-3-4.069014+0 6.437985-3-3.953339+0 7.255583-3-4.068193+0 8.282363-3-4.454856+0 9.372922-3-5.106256+0 1.037346-2-5.977426+0 1.111187-2-6.968424+0 1.157147-2-7.960090+0 1.184432-2-8.929457+0 1.201392-2-9.988742+0 1.214462-2-1.153046+1 1.224644-2-1.273873+1 1.231591-2-1.277319+1 1.241019-2-1.171585+1 1.252866-2-1.016652+1 1.263918-2-9.278150+0 1.284439-2-8.372842+0 1.313430-2-7.703555+0 1.352427-2-7.372286+0 1.382833-2-7.536328+0 1.401693-2-8.057880+0 1.420181-2-8.958249+0 1.429600-2-8.943409+0 1.454719-2-7.686964+0 1.484932-2-7.218501+0 1.515592-2-5.769448+0 1.544972-2-4.905640+0 1.585583-2-4.115109+0 1.635874-2-3.415289+0 1.702600-2-2.738649+0 1.774445-2-2.213968+0 1.862671-2-1.753487+0 1.956612-2-1.393528+0 2.046790-2-1.146861+0 2.135285-2-9.700227-1 2.241120-2-8.153742-1 2.365421-2-6.929664-1 2.515588-2-6.050827-1 2.691535-2-5.598493-1 2.886684-2-5.507258-1 3.059188-2-5.642375-1 3.440562-2-6.476455-1 4.220894-2-8.834988-1 6.256980-2-1.564373+0 6.966949-2-1.875014+0 7.456753-2-2.185091+0 7.780325-2-2.507812+0 7.980819-2-2.834164+0 8.111760-2-3.197969+0 8.192251-2-3.610939+0 8.299924-2-4.407710+0 8.340540-2-4.479049+0 8.393704-2-4.214329+0 8.497628-2-3.361977+0 8.568438-2-2.989894+0 8.689708-2-2.601079+0 8.867350-2-2.237574+0 9.105299-2-1.920430+0 9.394990-2-1.650137+0 9.741409-2-1.424621+0 1.015613-1-1.235199+0 1.072741-1-1.058051+0 1.151800-1-8.999311-1 1.223647-1-8.054259-1 1.325315-1-7.264071-1 1.466255-1-6.723516-1 1.639944-1-6.499098-1 1.994336-1-6.619041-1 3.486308-1-7.882690-1 5.189267-1-8.589680-1 8.459482-1-9.057186-1 2.567148+0-9.318144-1 7.752663+0-9.370067-1 1.000000+1-9.360420-1 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.744507-2 1.067871-6 2.497922-2 1.084326-6 2.725315-2 1.112207-6 3.164707-2 1.148507-6 3.849177-2 1.173762-6 4.428043-2 1.196212-6 5.033646-2 1.219269-6 5.756353-2 1.240885-6 6.544712-2 1.261150-6 7.408884-2 1.280149-6 8.354487-2 1.297960-6 9.387410-2 1.314658-6 1.051436-1 1.330312-6 1.174239-1 1.344988-6 1.307845-1 1.358747-6 1.452982-1 1.371645-6 1.610539-1 1.383738-6 1.781521-1 1.395075-6 1.966956-1 1.405703-6 2.167903-1 1.415667-6 2.385470-1 1.425008-6 2.620825-1 1.433765-6 2.875189-1 1.441976-6 3.149842-1 1.449672-6 3.446125-1 1.456888-6 3.765441-1 1.463653-6 4.109245-1 1.469995-6 4.479047-1 1.475941-6 4.876406-1 1.481515-6 5.302937-1 1.486741-6 5.760318-1 1.491640-6 6.250301-1 1.496233-6 6.774725-1 1.500539-6 7.335534-1 1.504575-6 7.934798-1 1.508360-6 8.574742-1 1.511908-6 9.257806-1 1.515234-6 9.986745-1 1.518750-6 1.087159+0 1.521276-6 1.159557+0 1.524016-6 1.248359+0 1.526586-6 1.343376+0 1.531042-6 1.543385+0 1.535487-6 1.805006+0 1.539192-6 2.091993+0 1.542434-6 2.415135+0 1.545270-6 2.770942+0 1.547752-6 3.152908+0 1.549924-6 3.552595+0 1.551824-6 3.960856+0 1.553487-6 4.368888+0 1.556215-6 5.154723+0 1.565367-6 9.097026+0 1.567794-6 1.052961+1 1.568979-6 1.129070+1 1.570905-6 1.261157+1 1.572831-6 1.403092+1 1.576683-6 1.712383+1 1.577165-6 1.752988+1 1.580536-6 2.044820+1 1.581860-6 2.161328+1 1.584388-6 2.382246+1 1.586344-6 2.548270+1 1.588241-6 2.701641+1 1.590197-6 2.848789+1 1.592093-6 2.977543+1 1.593778-6 3.078178+1 1.595742-6 3.176503+1 1.597992-6 3.261058+1 1.599918-6 3.307521+1 1.600589-6 3.317823+1 1.602502-6 3.330139+1 1.604387-6 3.317367+1 1.605254-6 3.303255+1 1.607186-6 3.253587+1 1.608883-6 3.190088+1 1.611595-6 3.053127+1 1.613133-6 2.958246+1 1.614429-6 2.869860+1 1.615689-6 2.777533+1 1.617163-6 2.662488+1 1.619059-6 2.505805+1 1.620745-6 2.360527+1 1.622370-6 2.217136+1 1.624838-6 1.997243+1 1.626764-6 1.827060+1 1.628931-6 1.640378+1 1.630617-6 1.500450+1 1.634469-6 1.203902+1 1.635793-6 1.110673+1 1.637057-6 1.026202+1 1.638321-6 9.462640+0 1.640247-6 8.332879+0 1.642903-6 6.949276+0 1.645814-6 5.656102+0 1.648716-6 4.582933+0 1.657352-6 2.429619+0 1.660208-6 1.979378+0 1.661632-6 1.790911+0 1.664474-6 1.474427+0 1.667305-6 1.224586+0 1.670125-6 1.026748+0 1.672935-6 8.691531-1 1.675733-6 7.425519-1 1.678520-6 6.397993-1 1.681296-6 5.554495-1 1.684062-6 4.853916-1 1.686816-6 4.265381-1 1.689560-6 3.765713-1 1.692294-6 3.337443-1 1.697728-6 2.645087-1 1.705800-6 1.894589-1 1.716417-6 1.231046-1 1.721674-6 9.932506-2 1.726889-6 8.002543-2 1.732064-6 6.427720-2 1.737198-6 5.138203-2 1.742292-6 4.080590-2 1.747347-6 3.213397-2 1.752362-6 2.503947-2 1.757338-6 1.926176-2 1.762275-6 1.459076-2 1.767173-6 1.085564-2 1.772033-6 7.916285-3 1.776855-6 5.656449-3 1.781639-6 3.978055-3 1.786387-6 2.795768-3 1.791096-6 2.031635-3 1.795770-6 1.609920-3 1.800406-6 1.453050-3 1.802707-6 1.448717-3 1.804998-6 1.479946-3 1.807280-6 1.536547-3 1.814074-6 1.762823-3 1.818558-6 1.879799-3 1.821896-6 1.917220-3 1.822450-6 1.918421-3 1.827417-6 1.861796-3 1.831797-6 1.718568-3 1.833975-6 1.622003-3 1.838313-6 1.399955-3 1.842617-6 1.171030-3 1.846888-6 9.699641-4 1.851125-6 8.243689-4 1.855330-6 7.530379-4 1.863672-6 8.701395-4 1.871885-6 1.342301-3 1.879969-6 2.143736-3 1.887926-6 3.237590-3 1.895760-6 4.587767-3 1.911182-6 7.964292-3 1.926122-6 1.207061-2 1.940595-6 1.680533-2 1.968636-6 2.828375-2 2.048000-6 7.260347-2 2.078877-6 9.498669-2 2.113226-6 1.250055-1 2.147731-6 1.610343-1 2.177922-6 1.983587-1 2.204339-6 2.364104-1 2.281005-6 3.864958-1 2.328288-6 5.216559-1 2.343531-6 5.752829-1 2.366396-6 6.674055-1 2.395142-6 8.071080-1 2.418666-6 9.475676-1 2.436308-6 1.072894+0 2.453951-6 1.219451+0 2.471593-6 1.392224+0 2.489236-6 1.597888+0 2.506879-6 1.845335+0 2.518002-6 2.027998+0 2.526344-6 2.181179+0 2.538858-6 2.441691+0 2.551371-6 2.746751+0 2.563931-6 3.109151+0 2.576491-6 3.543270+0 2.582771-6 3.793502+0 2.589050-6 4.070115+0 2.595330-6 4.377088+0 2.601610-6 4.719228+0 2.607890-6 5.102401+0 2.614170-6 5.533855+0 2.620450-6 6.022667+0 2.626730-6 6.580405+0 2.633010-6 7.222112+0 2.639290-6 7.967813+0 2.645569-6 8.844832+0 2.651849-6 9.891308+0 2.658129-6 1.116135+1 2.664409-6 1.273223+1 2.670689-6 1.471377+1 2.676969-6 1.725933+1 2.680499-6 1.901377+1 2.683589-6 2.078395+1 2.688995-6 2.452029+1 2.693050-6 2.796628+1 2.696091-6 3.098186+1 2.698372-6 3.351761+1 2.703504-6 4.019826+1 2.711873-6 5.452191+1 2.719825-6 7.283933+1 2.725841-6 9.012543+1 2.728375-6 9.832343+1 2.733214-6 1.154493+2 2.738071-6 1.344582+2 2.739604-6 1.407932+2 2.745473-6 1.662676+2 2.747779-6 1.766712+2 2.752181-6 1.968356+2 2.756148-6 2.149855+2 2.758070-6 2.236457+2 2.760829-6 2.357885+2 2.763771-6 2.482054+2 2.766023-6 2.572255+2 2.769242-6 2.692015+2 2.772993-6 2.815115+2 2.776728-6 2.916853+2 2.779840-6 2.983574+2 2.783730-6 3.041700+2 2.787130-6 3.068122+2 2.790561-6 3.070983+2 2.794023-6 3.049564+2 2.797062-6 3.011052+2 2.800368-6 2.949169+2 2.803362-6 2.876316+2 2.807272-6 2.759488+2 2.810268-6 2.655411+2 2.812605-6 2.566701+2 2.815947-6 2.430502+2 2.819437-6 2.279083+2 2.823171-6 2.110255+2 2.825996-6 1.980110+2 2.829808-6 1.804013+2 2.833517-6 1.635125+2 2.836452-6 1.505032+2 2.840225-6 1.344313+2 2.846095-6 1.112989+2 2.848714-6 1.018205+2 2.853715-6 8.529398+1 2.858062-6 7.263850+1 2.863342-6 5.937103+1 2.871196-6 4.360204+1 2.880595-6 3.004155+1 2.884934-6 2.536457+1 2.889001-6 2.171407+1 2.892814-6 1.884065+1 2.896389-6 1.655694+1 2.899740-6 1.472294+1 2.902882-6 1.323421+1 2.908773-6 1.093640+1 2.913927-6 9.343907+0 2.918438-6 8.196189+0 2.922384-6 7.341110+0 2.929290-6 6.104613+0 2.934470-6 5.345178+0 2.942240-6 4.406606+0 2.953640-6 3.349077+0 2.957270-6 3.074570+0 2.964531-6 2.600492+0 2.971792-6 2.215770+0 2.975423-6 2.053903+0 2.979054-6 1.911026+0 2.980869-6 1.846410+0 2.986315-6 1.678381+0 2.988130-6 1.630546+0 2.990853-6 1.565979+0 2.993576-6 1.509582+0 2.995391-6 1.476255+0 2.998114-6 1.432242+0 3.000837-6 1.394856+0 3.004467-6 1.354195+0 3.008098-6 1.322551+0 3.011728-6 1.298242+0 3.015359-6 1.279562+0 3.022620-6 1.252390+0 3.031696-6 1.221840+0 3.037142-6 1.197881+0 3.041680-6 1.172096+0 3.044403-6 1.153640+0 3.048034-6 1.125332+0 3.051664-6 1.092772+0 3.055295-6 1.056117+0 3.058925-6 1.015694+0 3.064371-6 9.490327-1 3.066186-6 9.254913-1 3.073448-6 8.268505-1 3.080709-6 7.249684-1 3.084339-6 6.743500-1 3.087970-6 6.246611-1 3.093415-6 5.528282-1 3.097309-6 5.040316-1 3.101433-6 4.550731-1 3.105492-6 4.098542-1 3.113484-6 3.299013-1 3.121226-6 2.639328-1 3.128726-6 2.102354-1 3.135991-6 1.669553-1 3.143030-6 1.323701-1 3.156667-6 8.294870-2 3.169452-6 5.386002-2 3.217396-6 2.835096-2 3.226245-6 2.827656-2 3.234260-6 2.775878-2 3.242972-6 2.686020-2 3.250248-6 2.642661-2 3.253716-6 2.657945-2 3.257076-6 2.710231-2 3.260330-6 2.808246-2 3.266636-6 3.180968-2 3.272548-6 3.832828-2 3.278091-6 4.809008-2 3.283287-6 6.144271-2 3.288158-6 7.865452-2 3.292725-6 9.993256-2 3.304783-6 1.894473-1 3.311618-6 2.708274-1 3.314719-6 3.177902-1 3.320532-6 4.271080-1 3.325619-6 5.505441-1 3.330070-6 6.847479-1 3.333965-6 8.260303-1 3.337373-6 9.707393-1 3.342964-6 1.257615+0 3.345247-6 1.394690+0 3.349242-6 1.665830+0 3.354486-6 2.088615+0 3.358699-6 2.489519+0 3.363570-6 3.027507+0 3.367313-6 3.499006+0 3.370912-6 4.002163+0 3.377784-6 5.101597+0 3.380486-6 5.583638+0 3.383188-6 6.092850+0 3.391475-6 7.809496+0 3.392510-6 8.038570+0 3.399761-6 9.708460+0 3.402610-6 1.038630+1 3.408727-6 1.185073+1 3.411279-6 1.245419+1 3.413595-6 1.299222+1 3.417393-6 1.384566+1 3.420302-6 1.446584+1 3.422677-6 1.494531+1 3.425794-6 1.553084+1 3.429802-6 1.619813+1 3.432749-6 1.661863+1 3.435697-6 1.697308+1 3.439132-6 1.729630+1 3.442998-6 1.753695+1 3.447049-6 1.764319+1 3.450142-6 1.762183+1 3.458151-6 1.716015+1 3.460736-6 1.689186+1 3.466472-6 1.610920+1 3.469476-6 1.560730+1 3.471820-6 1.517735+1 3.475169-6 1.451222+1 3.477323-6 1.405758+1 3.480987-6 1.324486+1 3.484622-6 1.240215+1 3.487659-6 1.168066+1 3.491563-6 1.074268+1 3.495381-6 9.827747+0 3.499199-6 8.928309+0 3.503860-6 7.867648+0 3.508003-6 6.972108+0 3.515772-6 5.443918+0 3.518212-6 5.009419+0 3.529350-6 3.318839+0 3.533300-6 2.833297+0 3.537323-6 2.396744+0 3.540714-6 2.071618+0 3.544882-6 1.721943+0 3.549680-6 1.381422+0 3.551280-6 1.281429+0 3.555546-6 1.044683+0 3.559811-6 8.471985-1 3.564077-6 6.838513-1 3.568342-6 5.498670-1 3.581472-6 2.779754-1 3.587704-6 2.025266-1 3.590819-6 1.739841-1 3.593935-6 1.504977-1 3.602466-6 1.070420-1 3.610997-6 8.693298-2 3.619528-6 8.508504-2 3.622811-6 8.894589-2 3.625435-6 9.393863-2 3.628059-6 1.007240-1 3.631792-6 1.137105-1 3.634191-6 1.243132-1 3.636590-6 1.368456-1 3.642454-6 1.765949-1 3.644652-6 1.952359-1 3.655173-6 3.183709-1 3.660043-6 3.974059-1 3.664430-6 4.822159-1 3.668761-6 5.794150-1 3.677029-6 8.036187-1 3.680149-6 9.013634-1 3.681189-6 9.354981-1 3.690205-6 1.261430+0 3.691332-6 1.305555+0 3.699222-6 1.629923+0 3.702321-6 1.762418+0 3.708269-6 2.018521+0 3.711164-6 2.141688+0 3.712834-6 2.211613+0 3.715757-6 2.331157+0 3.719592-6 2.480678+0 3.723291-6 2.614363+0 3.724524-6 2.656174+0 3.727615-6 2.754081+0 3.729934-6 2.820343+0 3.732977-6 2.896976+0 3.736401-6 2.967898+0 3.740597-6 3.030886+0 3.744304-6 3.063260+0 3.746155-6 3.070991+0 3.750633-6 3.066181+0 3.754276-6 3.037949+0 3.756551-6 3.009567+0 3.760167-6 2.948256+0 3.763894-6 2.865726+0 3.767387-6 2.772524+0 3.770283-6 2.685178+0 3.774299-6 2.551799+0 3.778159-6 2.413804+0 3.782243-6 2.261846+0 3.788163-6 2.041242+0 3.796740-6 1.751376+0 3.798402-6 1.703007+0 3.802910-6 1.590053+0 3.805516-6 1.539110+0 3.807837-6 1.504047+0 3.808374-6 1.497419+0 3.811806-6 1.469456+0 3.813401-6 1.465503+0 3.815596-6 1.470225+0 3.817214-6 1.481676+0 3.820767-6 1.532278+0 3.822321-6 1.566104+0 3.824319-6 1.620692+0 3.825913-6 1.673539+0 3.826807-6 1.706940+0 3.828483-6 1.777055+0 3.834350-6 2.104023+0 3.837284-6 2.318405+0 3.840217-6 2.569134+0 3.843484-6 2.893214+0 3.856285-6 4.658726+0 3.861972-6 5.714724+0 3.866157-6 6.603074+0 3.874148-6 8.559255+0 3.878915-6 9.882418+0 3.880205-6 1.025944+1 3.889237-6 1.309789+1 3.892445-6 1.417713+1 3.898569-6 1.630858+1 3.902167-6 1.758728+1 3.906461-6 1.911814+1 3.909037-6 2.003061+1 3.913449-6 2.156555+1 3.916828-6 2.270270+1 3.919586-6 2.359744+1 3.923207-6 2.471358+1 3.927863-6 2.602958+1 3.932570-6 2.719591+1 3.936945-6 2.810815+1 3.941079-6 2.880010+1 3.945358-6 2.932873+1 3.949215-6 2.963340+1 3.953708-6 2.977703+1 3.957626-6 2.971563+1 3.965810-6 2.904125+1 3.970019-6 2.842385+1 3.975748-6 2.732027+1 3.980222-6 2.627324+1 3.982840-6 2.559586+1 3.987135-6 2.439716+1 3.991958-6 2.294719+1 3.995986-6 2.167511+1 3.999871-6 2.041484+1 4.001165-6 1.999030+1 4.006873-6 1.811141+1 4.011867-6 1.648325+1 4.021425-6 1.350521+1 4.030925-6 1.083422+1 4.032679-6 1.038004+1 4.044950-6 7.571475+0 4.051682-6 6.309710+0 4.065304-6 4.320498+0 4.071674-6 3.620079+0 4.076280-6 3.192131+0 4.079734-6 2.910091+0 4.084916-6 2.543358+0 4.090290-6 2.226398+0 4.093873-6 2.046684+0 4.100479-6 1.772381+0 4.105434-6 1.608475+0 4.120299-6 1.280681+0 4.123362-6 1.236883+0 4.129172-6 1.170609+0 4.133131-6 1.136255+0 4.138900-6 1.099024+0 4.145077-6 1.072655+0 4.148670-6 1.062343+0 4.155041-6 1.050786+0 4.163091-6 1.044234+0 4.176326-6 1.039409+0 4.185580-6 1.031557+0 4.191828-6 1.021335+0 4.195839-6 1.012157+0 4.204432-6 9.849314-1 4.210092-6 9.612931-1 4.214068-6 9.421029-1 4.220183-6 9.088315-1 4.226204-6 8.722942-1 4.231289-6 8.391943-1 4.240754-6 7.743647-1 4.247496-6 7.275339-1 4.268334-6 5.950942-1 4.275638-6 5.570587-1 4.281750-6 5.295282-1 4.286028-6 5.126999-1 4.290831-6 4.962088-1 4.297549-6 4.773275-1 4.303060-6 4.653222-1 4.307845-6 4.572750-1 4.313367-6 4.505163-1 4.318635-6 4.463568-1 4.323659-6 4.442434-1 4.328452-6 4.437181-1 4.336134-6 4.454706-1 4.344292-6 4.501944-1 4.355530-6 4.603678-1 4.369979-6 4.779690-1 4.383502-6 4.979543-1 4.404024-6 5.339962-1 4.434681-6 5.988555-1 4.455279-6 6.486813-1 4.464677-6 6.758588-1 4.472143-6 7.023372-1 4.478781-6 7.319386-1 4.485214-6 7.686353-1 4.490261-6 8.048328-1 4.493858-6 8.355510-1 4.498907-6 8.868641-1 4.503879-6 9.482762-1 4.508110-6 1.010274+0 4.510992-6 1.058152+0 4.519804-6 1.236106+0 4.526521-6 1.406496+0 4.538906-6 1.803372+0 4.549991-6 2.242763+0 4.552264-6 2.340886+0 4.559703-6 2.675237+0 4.565116-6 2.926076+0 4.568342-6 3.076087+0 4.572953-6 3.288120+0 4.576658-6 3.454153+0 4.578882-6 3.550979+0 4.582246-6 3.692344+0 4.586662-6 3.866164+0 4.591541-6 4.039086+0 4.598055-6 4.231815+0 4.602788-6 4.340191+0 4.605580-6 4.390455+0 4.609998-6 4.448131+0 4.614768-6 4.479314+0 4.619735-6 4.476965+0 4.624130-6 4.445535+0 4.628972-6 4.380080+0 4.637200-6 4.200422+0 4.642063-6 4.058430+0 4.645438-6 3.946532+0 4.648501-6 3.836785+0 4.653525-6 3.642501+0 4.659166-6 3.408202+0 4.663878-6 3.203894+0 4.668421-6 3.003052+0 4.675479-6 2.690732+0 4.681021-6 2.450769+0 4.687257-6 2.191917+0 4.693492-6 1.949177+0 4.703191-6 1.610967+0 4.719430-6 1.164917+0 4.726038-6 1.026342+0 4.730767-6 9.413460-1 4.733602-6 8.957637-1 4.737853-6 8.344865-1 4.742104-6 7.812128-1 4.747773-6 7.216187-1 4.753442-6 6.738428-1 4.764779-6 6.086724-1 4.770448-6 5.890632-1 4.773282-6 5.820962-1 4.776116-6 5.768953-1 4.781785-6 5.714828-1 4.784619-6 5.711450-1 4.787453-6 5.723202-1 4.794008-6 5.806515-1 4.798791-6 5.915716-1 4.802919-6 6.042570-1 4.808223-6 6.250224-1 4.813215-6 6.492288-1 4.820683-6 6.940817-1 4.825814-6 7.310241-1 4.836982-6 8.286806-1 4.861796-6 1.118037+0 4.867630-6 1.194729+0 4.872810-6 1.263054+0 4.879469-6 1.349010+0 4.884950-6 1.416221+0 4.891381-6 1.488614+0 4.896812-6 1.542502+0 4.903737-6 1.599242+0 4.908977-6 1.631916+0 4.915014-6 1.657522+0 4.921034-6 1.669602+0 4.925652-6 1.669675+0 4.931804-6 1.657698+0 4.936513-6 1.639727+0 4.943716-6 1.599017+0 4.950116-6 1.551525+0 4.957096-6 1.490546+0 4.964898-6 1.415190+0 4.977867-6 1.285827+0 4.990989-6 1.167194+0 4.999797-6 1.102173+0 5.006131-6 1.064571+0 5.013638-6 1.030668+0 5.019634-6 1.011915+0 5.028199-6 9.973121-1 5.034258-6 9.948132-1 5.041651-6 9.992185-1 5.050415-6 1.012755+0 5.064189-6 1.044916+0 5.080785-6 1.086501+0 5.087038-6 1.099729+0 5.099858-6 1.119213+0 5.104312-6 1.123235+0 5.114866-6 1.127020+0 5.126140-6 1.123039+0 5.138912-6 1.111123+0 5.177753-6 1.061791+0 5.199564-6 1.042038+0 5.226651-6 1.027284+0 5.278082-6 1.010066+0 5.314713-6 1.003119+0 5.344219-6 1.004798+0 5.367755-6 1.012008+0 5.413115-6 1.030710+0 5.430475-6 1.032199+0 5.448596-6 1.026019+0 5.466595-6 1.011043+0 5.485723-6 9.872125-1 5.511789-6 9.503532-1 5.522636-6 9.368777-1 5.538677-6 9.221247-1 5.552831-6 9.159656-1 5.560334-6 9.156830-1 5.573980-6 9.206984-1 5.579489-6 9.247356-1 5.592402-6 9.385716-1 5.605616-6 9.586886-1 5.620947-6 9.888320-1 5.636278-6 1.025450+0 5.646433-6 1.052908+0 5.668137-6 1.119351+0 5.703913-6 1.250215+0 5.746599-6 1.439526+0 5.846026-6 2.009444+0 5.903122-6 2.435075+0 5.956365-6 2.918527+0 6.006417-6 3.463569+0 6.053342-6 4.071042+0 6.101445-6 4.811068+0 6.144000-6 5.585597+0 6.185195-6 6.467212+0 6.213489-6 7.163722+0 6.252049-6 8.258097+0 6.279330-6 9.153386+0 6.310457-6 1.032392+1 6.337198-6 1.148172+1 6.363449-6 1.278347+1 6.391801-6 1.441236+1 6.412625-6 1.578678+1 6.439399-6 1.782559+1 6.461926-6 1.983109+1 6.473616-6 2.099765+1 6.495210-6 2.342433+1 6.514802-6 2.599466+1 6.536930-6 2.943623+1 6.550698-6 3.194127+1 6.563605-6 3.460693+1 6.575705-6 3.744550+1 6.592881-6 4.218945+1 6.607655-6 4.714757+1 6.626349-6 5.504280+1 6.642707-6 6.404372+1 6.657019-6 7.416780+1 6.669543-6 8.532537+1 6.680502-6 9.732844+1 6.690090-6 1.099216+2 6.698480-6 1.228204+2 6.705821-6 1.357459+2 6.718534-6 1.622598+2 6.758249-6 2.870090+2 6.770566-6 3.405252+2 6.782158-6 3.974376+2 6.790474-6 4.419256+2 6.807106-6 5.386212+2 6.809185-6 5.512882+2 6.823738-6 6.421066+2 6.829455-6 6.782431+2 6.840370-6 7.465359+2 6.848816-6 7.976209+2 6.857002-6 8.445794+2 6.865448-6 8.893543+2 6.873634-6 9.282171+2 6.880910-6 9.582860+2 6.889389-6 9.872291+2 6.899102-6 1.011407+3 6.907418-6 1.023864+3 6.910313-6 1.026343+3 6.918574-6 1.028031+3 6.924728-6 1.024087+3 6.940934-6 9.929960+2 6.946121-6 9.770388+2 6.957834-6 9.314321+2 6.964473-6 9.003269+2 6.970068-6 8.715732+2 6.975505-6 8.417103+2 6.981872-6 8.046978+2 6.990058-6 7.545779+2 6.997335-6 7.083560+2 7.004351-6 6.629402+2 7.006690-6 6.477172+2 7.015006-6 5.936541+2 7.023322-6 5.403130+2 7.032678-6 4.820763+2 7.039954-6 4.386165+2 7.056586-6 3.470868+2 7.062303-6 3.184869+2 7.067761-6 2.926536+2 7.077376-6 2.507008+2 7.086732-6 2.142551+2 7.096925-6 1.793372+2 7.106268-6 1.515121+2 7.115514-6 1.276398+2 7.127681-6 1.012607+2 7.139660-6 8.021217+1 7.157279-6 5.659958+1 7.196856-6 2.576316+1 7.218573-6 1.686125+1 7.239618-6 1.126853+1 7.260010-6 7.679312+0 7.269967-6 6.387383+0 7.281882-6 5.145871+0 7.289418-6 4.505160+0 7.298916-6 3.834468+0 7.308266-6 3.305235+0 7.317470-6 2.895977+0 7.326530-6 2.589410+0 7.335448-6 2.371375+0 7.344227-6 2.230081+0 7.348548-6 2.185187+0 7.352835-6 2.155748+0 7.357088-6 2.140760+0 7.492141-6 7.266935+0 7.521335-6 9.978476+0 7.541203-6 1.232123+1 7.563459-6 1.552299+1 7.584324-6 1.918185+1 7.622223-6 2.791015+1 7.655533-6 3.866097+1 7.670643-6 4.487975+1 7.684809-6 5.172370+1 7.698090-6 5.925072+1 7.712661-6 6.907249+1 7.722213-6 7.661617+1 7.733155-6 8.659048+1 7.745224-6 9.961780+1 7.753032-6 1.094248+2 7.762049-6 1.223692+2 7.776436-6 1.474177+2 7.785856-6 1.674127+2 7.799786-6 2.035310+2 7.811975-6 2.430140+2 7.822641-6 2.849312+2 7.840138-6 3.719829+2 7.872169-6 6.082660+2 7.889347-6 7.868183+2 7.900791-6 9.291949+2 7.912387-6 1.093802+3 7.916736-6 1.160924+3 7.926455-6 1.321568+3 7.936174-6 1.496630+3 7.955613-6 1.886617+3 7.958042-6 1.938684+3 7.975051-6 2.319083+3 7.981733-6 2.474169+3 7.994489-6 2.773947+3 8.004360-6 3.004927+3 8.013927-6 3.223656+3 8.023798-6 3.439727+3 8.033365-6 3.635654+3 8.041870-6 3.795379+3 8.049728-6 3.928480+3 8.054018-6 3.994532+3 8.065408-6 4.144698+3 8.074302-6 4.234215+3 8.084664-6 4.305341+3 8.093120-6 4.335770+3 8.111726-6 4.313739+3 8.120419-6 4.262331+3 8.131771-6 4.158206+3 8.139530-6 4.064717+3 8.144763-6 3.992323+3 8.152424-6 3.873955+3 8.159866-6 3.746451+3 8.169433-6 3.567170+3 8.177937-6 3.396171+3 8.186137-6 3.223557+3 8.198590-6 2.952356+3 8.208309-6 2.737566+3 8.219243-6 2.497349+3 8.227747-6 2.314220+3 8.247186-6 1.917373+3 8.260246-6 1.673621+3 8.266624-6 1.562402+3 8.281202-6 1.328804+3 8.303198-6 1.031809+3 8.334578-6 7.165851+2 8.352132-6 5.879728+2 8.360806-6 5.349494+2 8.369413-6 4.883663+2 8.377952-6 4.474745+2 8.394897-6 3.798317+2 8.413951-6 3.211077+2 8.427996-6 2.868947+2 8.447950-6 2.482206+2 8.460070-6 2.291308+2 8.475731-6 2.082287+2 8.491148-6 1.909300+2 8.506325-6 1.763852+2 8.521264-6 1.639794+2 8.550675-6 1.437692+2 8.579167-6 1.281214+2 8.606769-6 1.156332+2 8.633508-6 1.054370+2 8.661201-6 9.642115+1 8.684506-6 8.981697+1 8.708816-6 8.371766+1 8.732366-6 7.845643+1 8.777995-6 6.973095+1 8.820772-6 6.293702+1 8.873715-6 5.593466+1 8.898472-6 5.308984+1 8.933719-6 4.943162+1 8.966763-6 4.636354+1 9.028721-6 4.138218+1 9.092260-6 3.709937+1 9.130370-6 3.485033+1 9.213384-6 3.060990+1 9.293685-6 2.718472+1 9.384046-6 2.392397+1 9.602168-6 1.780552+1 9.765202-6 1.426506+1 9.928236-6 1.118208+1 1.002161-5 9.513795+0 1.008498-5 8.381271+0 1.013536-5 7.458371+0 1.017315-5 6.743185+0 1.020149-5 6.191683+0 1.022275-5 5.770601+0 1.025463-5 5.133518+0 1.027057-5 4.817416+0 1.028651-5 4.507751+0 1.032449-5 3.830356+0 1.033715-5 3.637854+0 1.035142-5 3.452085+0 1.036247-5 3.337146+0 1.037513-5 3.244023+0 1.038779-5 3.201007+0 1.040678-5 3.253525+0 1.041311-5 3.308073+0 1.042201-5 3.420942+0 1.042869-5 3.535805+0 1.043369-5 3.640294+0 1.043745-5 3.729556+0 1.044308-5 3.881838+0 1.045059-5 4.120907+0 1.045525-5 4.291273+0 1.046317-5 4.622042+0 1.046965-5 4.932431+0 1.047450-5 5.190133+0 1.048542-5 5.851983+0 1.050096-5 7.001129+0 1.053391-5 1.030849+1 1.054998-5 1.236340+1 1.056369-5 1.433509+1 1.057684-5 1.640185+1 1.058816-5 1.830179+1 1.059978-5 2.035028+1 1.061077-5 2.235772+1 1.062297-5 2.463849+1 1.063359-5 2.664000+1 1.064388-5 2.857201+1 1.064976-5 2.966519+1 1.066497-5 3.240761+1 1.067697-5 3.444965+1 1.068546-5 3.580679+1 1.069568-5 3.732461+1 1.070751-5 3.889829+1 1.073323-5 4.152379+1 1.074151-5 4.211200+1 1.075975-5 4.293470+1 1.076880-5 4.309956+1 1.077701-5 4.311073+1 1.079048-5 4.285194+1 1.080148-5 4.239738+1 1.080974-5 4.192242+1 1.081592-5 4.149574+1 1.082985-5 4.033447+1 1.083449-5 3.989111+1 1.085378-5 3.779669+1 1.086021-5 3.702294+1 1.087950-5 3.454012+1 1.088593-5 3.367374+1 1.091165-5 3.012610+1 1.091808-5 2.923737+1 1.093736-5 2.661801+1 1.096596-5 2.297459+1 1.102223-5 1.704716+1 1.104098-5 1.546483+1 1.106712-5 1.355462+1 1.110186-5 1.147228+1 1.113825-5 9.731899+0 1.117937-5 8.191043+0 1.119807-5 7.623833+0 1.120496-5 7.435856+0 1.122564-5 6.942093+0 1.123942-5 6.674054+0 1.125320-5 6.457838+0 1.128076-5 6.190920+0 1.128765-5 6.160206+0 1.130832-5 6.156882+0 1.131521-5 6.185384+0 1.133109-5 6.306171+0 1.134422-5 6.461918+0 1.135790-5 6.673611+0 1.136907-5 6.880125+0 1.138373-5 7.190168+0 1.142475-5 8.203992+0 1.144614-5 8.748584+0 1.147370-5 9.382368+0 1.147715-5 9.452588+0 1.150126-5 9.868504+0 1.151389-5 1.002597+1 1.152595-5 1.013349+1 1.153800-5 1.019775+1 1.154493-5 1.021501+1 1.155706-5 1.021118+1 1.156615-5 1.018083+1 1.157979-5 1.009393+1 1.159343-5 9.962147+0 1.161422-5 9.689881+0 1.164185-5 9.236451+0 1.170405-5 8.144002+0 1.173235-5 7.733654+0 1.174933-5 7.531480+0 1.177316-5 7.305699+0 1.178745-5 7.200815+0 1.181517-5 7.052558+0 1.184180-5 6.960958+0 1.193176-5 6.765146+0 1.195773-5 6.695228+0 1.202198-5 6.471717+0 1.222552-5 5.677510+0 1.241518-5 5.079390+0 1.248896-5 4.830888+0 1.254444-5 4.627011+0 1.262998-5 4.298492+0 1.277938-5 3.745666+0 1.290011-5 3.334030+0 1.293821-5 3.208910+0 1.305044-5 2.849623+0 1.314939-5 2.542196+0 1.332803-5 2.014378+0 1.343236-5 1.730206+0 1.352628-5 1.493122+0 1.360455-5 1.309901+0 1.374153-5 1.024990+0 1.384426-5 8.488245-1 1.392131-5 7.438343-1 1.397910-5 6.835413-1 1.402244-5 6.503681-1 1.406895-5 6.278266-1 1.408745-5 6.229935-1 1.415286-5 6.269843-1 1.418729-5 6.435456-1 1.422212-5 6.712386-1 1.425696-5 7.100543-1 1.429179-5 7.592825-1 1.436146-5 8.794185-1 1.439630-5 9.413865-1 1.443113-5 9.962018-1 1.446597-5 1.036843+0 1.450951-5 1.058706+0 1.452720-5 1.056905+0 1.455904-5 1.037813+0 1.459224-5 9.983518-1 1.462272-5 9.490115-1 1.464014-5 9.175208-1 1.469239-5 8.246897-1 1.470981-5 7.995849-1 1.472722-5 7.802867-1 1.474464-5 7.686790-1 1.476206-5 7.667753-1 1.477948-5 7.767591-1 1.479689-5 8.010394-1 1.481431-5 8.423266-1 1.482421-5 8.745558-1 1.483173-5 9.037292-1 1.484914-5 9.888767-1 1.487686-5 1.184257+0 1.490284-5 1.451853+0 1.492720-5 1.799270+0 1.495004-5 2.234552+0 1.497145-5 2.765877+0 1.499152-5 3.401091+0 1.501034-5 4.147165+0 1.502798-5 5.009664+0 1.506002-5 7.096562+0 1.513539-5 1.619518+1 1.515504-5 2.002160+1 1.517224-5 2.404969+1 1.520045-5 3.229502+1 1.522204-5 4.022686+1 1.523858-5 4.739658+1 1.525208-5 5.403215+1 1.526980-5 6.389741+1 1.529099-5 7.755008+1 1.530708-5 8.936196+1 1.531865-5 9.867286+1 1.533023-5 1.086773+2 1.534905-5 1.264386+2 1.536787-5 1.460538+2 1.540551-5 1.905679+2 1.541022-5 1.965857+2 1.544316-5 2.410070+2 1.545609-5 2.593253+2 1.548080-5 2.950306+2 1.549991-5 3.227782+2 1.550917-5 3.360869+2 1.552314-5 3.557994+2 1.553755-5 3.754708+2 1.555145-5 3.935659+2 1.556549-5 4.107472+2 1.558181-5 4.290217+2 1.559607-5 4.432482+2 1.561813-5 4.615591+2 1.563535-5 4.723880+2 1.565347-5 4.802197+2 1.567059-5 4.841050+2 1.570782-5 4.805569+2 1.572465-5 4.736845+2 1.574663-5 4.601227+2 1.576166-5 4.481148+2 1.577179-5 4.388842+2 1.578663-5 4.238895+2 1.580104-5 4.078513+2 1.581956-5 3.854734+2 1.583603-5 3.643024+2 1.585191-5 3.430950+2 1.585720-5 3.359080+2 1.587602-5 3.101036+2 1.589484-5 2.842643+2 1.591602-5 2.556837+2 1.593249-5 2.341343+2 1.597013-5 1.882202+2 1.598307-5 1.737443+2 1.600777-5 1.482033+2 1.603600-5 1.225205+2 1.606595-5 9.934796+1 1.607321-5 9.433937+1 1.638983-5 1.188665+1 1.653062-5 2.355410+1 1.658148-5 3.954674+1 1.660341-5 4.913515+1 1.661931-5 5.718232+1 1.662765-5 6.178510+1 1.664643-5 7.309847+1 1.665999-5 8.209319+1 1.666834-5 8.795761+1 1.669024-5 1.045052+2 1.670068-5 1.129441+2 1.670903-5 1.199234+2 1.673660-5 1.442696+2 1.675284-5 1.593337+2 1.676653-5 1.723031+2 1.677983-5 1.850329+2 1.679791-5 2.023476+2 1.681544-5 2.188958+2 1.682599-5 2.286421+2 1.683985-5 2.410580+2 1.685673-5 2.554245+2 1.687403-5 2.690644+2 1.689053-5 2.808271+2 1.690820-5 2.918761+2 1.692848-5 3.023376+2 1.694505-5 3.089675+2 1.698345-5 3.172600+2 1.699891-5 3.177476+2 1.702624-5 3.146859+2 1.704599-5 3.095092+2 1.706513-5 3.023156+2 1.708290-5 2.939135+2 1.710285-5 2.827487+2 1.711952-5 2.722324+2 1.714094-5 2.574339+2 1.716128-5 2.423854+2 1.718163-5 2.267041+2 1.718671-5 2.227222+2 1.721787-5 1.981666+2 1.722232-5 1.946699+2 1.726300-5 1.634819+2 1.728057-5 1.506986+2 1.731409-5 1.278802+2 1.734438-5 1.093331+2 1.738152-5 8.947294+1 1.741783-5 7.310767+1 1.752156-5 4.067824+1 1.756305-5 3.229258+1 1.765420-5 1.980573+1 1.768439-5 1.700066+1 1.774153-5 1.311107+1 1.775775-5 1.232223+1 1.780124-5 1.087922+1 1.783386-5 1.044607+1 1.784473-5 1.042732+1 1.785017-5 1.044172+1 1.785969-5 1.050515+1 1.787396-5 1.069177+1 1.788823-5 1.098816+1 1.789911-5 1.128749+1 1.793174-5 1.256067+1 1.795054-5 1.354194+1 1.797297-5 1.493557+1 1.803585-5 1.994471+1 1.805244-5 2.147598+1 1.807614-5 2.376085+1 1.810090-5 2.621727+1 1.811335-5 2.745977+1 1.813694-5 2.978837+1 1.815462-5 3.148450+1 1.816596-5 3.253612+1 1.818500-5 3.422036+1 1.820404-5 3.577746+1 1.824756-5 3.872337+1 1.825300-5 3.902204+1 1.829109-5 4.062112+1 1.830605-5 4.100121+1 1.833461-5 4.132275+1 1.834549-5 4.130525+1 1.836181-5 4.113614+1 1.837813-5 4.079968+1 1.838901-5 4.048556+1 1.841039-5 3.966977+1 1.842233-5 3.910630+1 1.844375-5 3.791936+1 1.846517-5 3.653135+1 1.848693-5 3.494844+1 1.850869-5 3.322662+1 1.853545-5 3.097250+1 1.854437-5 3.019821+1 1.859054-5 2.612209+1 1.860152-5 2.515743+1 1.863446-5 2.233413+1 1.864707-5 2.129468+1 1.868488-5 1.836375+1 1.874209-5 1.459499+1 1.877641-5 1.276937+1 1.879929-5 1.173813+1 1.882217-5 1.085167+1 1.884438-5 1.012354+1 1.885836-5 9.728217+0 1.888162-5 9.170767+0 1.890489-5 8.727607+0 1.892122-5 8.477403+0 1.894571-5 8.183814+0 1.895795-5 8.069091+0 1.897020-5 7.972857+0 1.898772-5 7.863083+0 1.900523-5 7.780685+0 1.905100-5 7.653578+0 1.911381-5 7.560263+0 1.915881-5 7.472113+0 1.918658-5 7.392332+0 1.923120-5 7.216327+0 1.926990-5 7.018787+0 1.933543-5 6.615789+0 1.939465-5 6.217304+0 1.950594-5 5.488203+0 1.961916-5 4.815894+0 1.967194-5 4.515630+0 1.972886-5 4.196128+0 1.984640-5 3.583296+0 1.987242-5 3.469418+0 1.989565-5 3.379533+0 1.992508-5 3.286019+0 1.994498-5 3.238344+0 1.997021-5 3.199453+0 2.000818-5 3.194865+0 2.002717-5 3.220733+0 2.004615-5 3.267719+0 2.006221-5 3.325202+0 2.007598-5 3.388200+0 2.010311-5 3.551527+0 2.013047-5 3.771923+0 2.014791-5 3.942706+0 2.015880-5 4.061673+0 2.017468-5 4.251894+0 2.018985-5 4.452401+0 2.021567-5 4.834584+0 2.031287-5 6.673281+0 2.033619-5 7.180702+0 2.035845-5 7.675267+0 2.038071-5 8.171898+0 2.039927-5 8.581579+0 2.041319-5 8.882968+0 2.043407-5 9.320483+0 2.045743-5 9.781278+0 2.047964-5 1.018288+1 2.050517-5 1.059020+1 2.054136-5 1.104875+1 2.055370-5 1.116953+1 2.058016-5 1.136253+1 2.060308-5 1.145435+1 2.061542-5 1.147432+1 2.065245-5 1.141123+1 2.067560-5 1.128120+1 2.071980-5 1.085772+1 2.073999-5 1.059731+1 2.077028-5 1.014292+1 2.080058-5 9.629322+0 2.082526-5 9.181138+0 2.084995-5 8.718392+0 2.087464-5 8.251936+0 2.091890-5 7.438170+0 2.097151-5 6.566876+0 2.101844-5 5.925421+0 2.104745-5 5.605397+0 2.106822-5 5.414196+0 2.111799-5 5.084570+0 2.114799-5 4.969425+0 2.117799-5 4.910905+0 2.122051-5 4.911108+0 2.124860-5 4.954545+0 2.130074-5 5.098460+0 2.138446-5 5.403635+0 2.143608-5 5.580647+0 2.149327-5 5.733874+0 2.152419-5 5.793575+0 2.155510-5 5.836983+0 2.159000-5 5.868137+0 2.164234-5 5.886365+0 2.184341-5 5.858615+0 2.194054-5 5.887630+0 2.205352-5 5.972288+0 2.217868-5 6.109950+0 2.233058-5 6.324980+0 2.247137-5 6.573401+0 2.260695-5 6.856707+0 2.270420-5 7.084148+0 2.293503-5 7.697701+0 2.320172-5 8.532195+0 2.340344-5 9.259705+0 2.373507-5 1.065612+1 2.405897-5 1.228053+1 2.559763-5 2.392660+1 2.598290-5 2.800555+1 2.635847-5 3.244429+1 2.661720-5 3.572966+1 2.701226-5 4.122066+1 2.771542-5 5.250620+1 2.836319-5 6.476980+1 2.887769-5 7.590803+1 2.925945-5 8.503155+1 2.986994-5 1.011440+2 3.046760-5 1.186014+2 3.083386-5 1.302611+2 3.141247-5 1.500611+2 3.203664-5 1.731805+2 3.257573-5 1.945330+2 3.311482-5 2.171302+2 3.358612-5 2.377004+2 3.393959-5 2.536339+2 3.450000-5 2.795716+2 3.507519-5 3.066306+2 3.575293-5 3.387662+2 3.630781-5 3.651550+2 3.690000-5 3.929960+2 3.758374-5 4.242049+2 3.830000-5 4.555411+2 3.900000-5 4.844410+2 3.970000-5 5.111207+2 4.040725-5 5.355939+2 4.096000-5 5.531377+2 4.177328-5 5.762026+2 4.251032-5 5.940910+2 4.340424-5 6.123184+2 4.421425-5 6.257091+2 4.506875-5 6.368151+2 4.581726-5 6.441535+2 4.658195-5 6.498621+2 4.725511-5 6.535534+2 4.819377-5 6.568801+2 4.943272-5 6.581302+2 5.033821-5 6.571070+2 5.153326-5 6.541801+2 5.465924-5 6.419670+2 5.664513-5 6.318419+2 5.861171-5 6.199617+2 6.247818-5 5.938607+2 6.460028-5 5.782694+2 6.669113-5 5.623651+2 6.922194-5 5.418718+2 7.137920-5 5.229508+2 7.348516-5 5.046072+2 7.402778-5 5.029298+2 7.496112-5 5.026145+2 7.530863-5 5.004999+2 7.548882-5 4.985802+2 7.587944-5 4.926262+2 7.729121-5 4.648150+2 7.762945-5 4.600408+2 7.804138-5 4.565972+2 7.847688-5 4.559323+2 7.962317-5 4.620670+2 8.057500-5 4.660278+2 8.230000-5 4.664129+2 8.511791-5 4.599695+2 8.745015-5 4.512971+2 9.035195-5 4.380755+2 9.294169-5 4.243237+2 9.547254-5 4.102157+2 9.656691-5 4.031614+2 9.834975-5 3.874373+2 9.909013-5 3.828757+2 9.965084-5 3.813051+2 1.032250-4 3.817756+2 1.070000-4 3.759664+2 1.120382-4 3.629173+2 1.152000-4 3.530452+2 1.184275-4 3.417894+2 1.215560-4 3.298049+2 1.246959-4 3.166015+2 1.272133-4 3.044212+2 1.289106-4 2.972077+2 1.315033-4 2.891626+2 1.359937-4 2.787369+2 1.388585-4 2.722529+2 1.440274-4 2.630190+2 1.488864-4 2.518580+2 1.515741-4 2.449251+2 1.550000-4 2.354233+2 1.594069-4 2.225741+2 1.621810-4 2.143211+2 1.668324-4 2.004139+2 1.712875-4 1.873204+2 1.781653-4 1.681066+2 1.920000-4 1.355832+2 1.942830-4 1.313090+2 1.974151-4 1.260981+2 2.006881-4 1.215352+2 2.044160-4 1.175481+2 2.081883-4 1.149235+2 2.139055-4 1.138260+2 2.220000-4 1.179825+2 2.272429-4 1.241976+2 2.331491-4 1.345507+2 2.380000-4 1.455579+2 2.405000-4 1.520453+2 2.457600-4 1.673597+2 2.520000-4 1.882252+2 2.700000-4 2.637175+2 2.746313-4 2.860903+2 2.800000-4 3.131203+2 2.861295-4 3.451256+2 2.934318-4 3.844573+2 3.030000-4 4.367587+2 3.150000-4 5.019582+2 3.257022-4 5.592196+2 3.367250-4 6.164833+2 3.488682-4 6.767991+2 3.621050-4 7.381341+2 3.724849-4 7.859407+2 3.750904-4 8.024496+2 3.778181-4 8.220440+2 3.803829-4 8.388446+2 3.820926-4 8.474761+2 3.880436-4 8.675777+2 3.914208-4 8.830991+2 3.948390-4 9.058317+2 3.975284-4 9.267892+2 4.004815-4 9.479259+2 4.024214-4 9.586220+2 4.100000-4 9.876271+2 4.264561-4 1.066302+3 4.433418-4 1.143673+3 4.650233-4 1.232053+3 4.915200-4 1.327310+3 5.211309-4 1.419492+3 5.451735-4 1.480729+3 5.666635-4 1.523104+3 5.815313-4 1.540987+3 5.893220-4 1.547813+3 5.935792-4 1.555975+3 5.987165-4 1.575972+3 6.120966-4 1.658873+3 6.211605-4 1.699639+3 6.383144-4 1.751866+3 6.651686-4 1.813927+3 6.920140-4 1.861951+3 7.056965-4 1.881877+3 7.280264-4 1.927571+3 7.500000-4 1.964497+3 7.873054-4 2.009312+3 8.191366-4 2.038181+3 8.517382-4 2.085000+3 8.762982-4 2.114783+3 9.225714-4 2.154626+3 9.688354-4 2.183771+3 1.020352-3 2.206602+3 1.080192-3 2.223360+3 1.142622-3 2.228201+3 1.209385-3 2.222977+3 1.273733-3 2.212258+3 1.349674-3 2.194140+3 1.436626-3 2.166063+3 1.529567-3 2.122841+3 1.627243-3 2.067997+3 1.716673-3 2.010689+3 1.814243-3 1.938672+3 1.902023-3 1.860404+3 1.975773-3 1.783063+3 2.044357-3 1.700941+3 2.102971-3 1.620599+3 2.150625-3 1.545325+3 2.194068-3 1.466088+3 2.223240-3 1.404760+3 2.256548-3 1.323074+3 2.280999-3 1.251911+3 2.303185-3 1.174481+3 2.320283-3 1.101659+3 2.333597-3 1.034461+3 2.342537-3 9.848619+2 2.361158-3 8.838729+2 2.367020-3 8.586276+2 2.370201-3 8.474276+2 2.373344-3 8.384451+2 2.375795-3 8.330218+2 2.378935-3 8.282657+2 2.382610-3 8.260036+2 2.386121-3 8.272866+2 2.390966-3 8.345914+2 2.395787-3 8.479389+2 2.399907-3 8.636695+2 2.405250-3 8.889822+2 2.423059-3 9.932388+2 2.427733-3 1.020488+3 2.432220-3 1.045087+3 2.437513-3 1.071592+3 2.445467-3 1.105949+3 2.453151-3 1.133750+3 2.475000-3 1.205803+3 2.481682-3 1.232882+3 2.488393-3 1.264699+3 2.496645-3 1.310419+3 2.518596-3 1.455598+3 2.526641-3 1.510219+3 2.536049-3 1.570503+3 2.549201-3 1.645270+3 2.560474-3 1.700172+3 2.581774-3 1.786117+3 2.608739-3 1.875506+3 2.641725-3 1.968706+3 2.674877-3 2.048053+3 2.718193-3 2.133486+3 2.755181-3 2.190431+3 2.780040-3 2.218305+3 2.806488-3 2.237382+3 2.837678-3 2.245719+3 2.861846-3 2.240537+3 2.895626-3 2.219841+3 2.909042-3 2.214908+3 2.919315-3 2.216824+3 2.930381-3 2.226873+3 2.938495-3 2.240216+3 2.948437-3 2.263246+3 2.970383-3 2.332416+3 2.995624-3 2.416477+3 3.009561-3 2.455132+3 3.025788-3 2.491072+3 3.046995-3 2.525945+3 3.076498-3 2.560270+3 3.111050-3 2.589222+3 3.149575-3 2.612467+3 3.192647-3 2.629800+3 3.239867-3 2.640370+3 3.283445-3 2.642438+3 3.321076-3 2.636425+3 3.372601-3 2.620515+3 3.393321-3 2.620691+3 3.418938-3 2.633063+3 3.479735-3 2.686127+3 3.507122-3 2.701980+3 3.541951-3 2.712296+3 3.604271-3 2.712880+3 3.660936-3 2.712507+3 3.714295-3 2.736418+3 3.777387-3 2.768607+3 3.812951-3 2.778507+3 3.917930-3 2.788263+3 4.083443-3 2.779853+3 4.295055-3 2.750454+3 4.507194-3 2.710028+3 4.838241-3 2.631487+3 5.166527-3 2.545620+3 5.588747-3 2.428297+3 6.095369-3 2.288986+3 6.568819-3 2.163129+3 7.110484-3 2.025575+3 7.729030-3 1.878910+3 8.438962-3 1.723412+3 8.782574-3 1.653199+3 9.515629-3 1.509754+3 9.951868-3 1.429504+3 1.028929-2 1.368488+3 1.064052-2 1.306098+3 1.092540-2 1.255630+3 1.118789-2 1.208764+3 1.140997-2 1.168028+3 1.159205-2 1.133465+3 1.176319-2 1.099347+3 1.190214-2 1.069877+3 1.202219-2 1.042423+3 1.211818-2 1.018334+3 1.220388-2 9.941787+2 1.227522-2 9.710797+2 1.233095-2 9.504896+2 1.241272-2 9.161692+2 1.251330-2 8.730286+2 1.255798-2 8.577714+2 1.260738-2 8.468713+2 1.263300-2 8.442780+2 1.267617-2 8.449624+2 1.272242-2 8.522487+2 1.277921-2 8.681259+2 1.289341-2 9.074115+2 1.297110-2 9.294092+2 1.300813-2 9.374803+2 1.306544-2 9.471073+2 1.314026-2 9.554946+2 1.321996-2 9.607823+2 1.330683-2 9.636762+2 1.349786-2 9.632111+2 1.363207-2 9.589953+2 1.375751-2 9.528366+2 1.390635-2 9.430203+2 1.402732-2 9.330436+2 1.412988-2 9.229537+2 1.424105-2 9.098242+2 1.432335-2 8.981129+2 1.445458-2 8.752991+2 1.459180-2 8.501405+2 1.466498-2 8.406075+2 1.473160-2 8.365453+2 1.479886-2 8.372251+2 1.492279-2 8.465913+2 1.506950-2 8.573146+2 1.532377-2 8.664453+2 1.547737-2 8.788515+2 1.566437-2 8.947495+2 1.583007-2 9.023850+2 1.607495-2 9.053052+2 1.634651-2 9.030192+2 1.670167-2 8.954759+2 1.712971-2 8.827441+2 1.784431-2 8.563829+2 1.873016-2 8.198218+2 2.003614-2 7.650085+2 2.165833-2 7.001769+2 2.370404-2 6.268240+2 2.629085-2 5.478960+2 2.964137-2 4.648680+2 3.343730-2 3.912676+2 3.595591-2 3.513463+2 3.916458-2 3.078766+2 4.251750-2 2.695656+2 5.027791-2 2.039843+2 5.666693-2 1.660352+2 6.133048-2 1.441795+2 6.646473-2 1.243757+2 7.142377-2 1.084397+2 7.512528-2 9.797506+1 7.797788-2 9.040317+1 8.009042-2 8.483365+1 8.161438-2 8.062691+1 8.218729-2 7.892797+1 8.270683-2 7.727569+1 8.314403-2 7.575612+1 8.379138-2 7.319864+1 8.498783-2 6.805523+1 8.532661-2 6.701581+1 8.565493-2 6.642555+1 8.597012-2 6.629150+1 8.635626-2 6.664982+1 8.697173-2 6.793664+1 8.767572-2 6.947346+1 8.820081-2 7.024838+1 8.893769-2 7.078461+1 8.992005-2 7.088021+1 9.115690-2 7.050264+1 9.274053-2 6.962252+1 9.576652-2 6.742562+1 9.811150-2 6.551233+1 1.027132-1 6.160491+1 1.081760-1 5.705475+1 1.152993-1 5.159042+1 1.248468-1 4.520825+1 1.388414-1 3.762377+1 1.654329-1 2.757023+1 2.011315-1 1.935542+1 2.432842-1 1.361947+1 2.952395-1 9.463687+0 3.755786-1 5.976755+0 5.203493-1 3.181077+0 8.054847-1 1.354033+0 1.286622+0 5.380330-1 2.341267+0 1.638380-1 7.070513+0 1.802908-2 2.135261+1 1.977372-3 6.448384+1 2.168209-4 1.947381+2 2.377401-5 5.880996+2 2.606769-6 1.995262+3 2.264667-7 6.309573+3 2.264667-8 1.995262+4 2.264667-9 6.309573+4 2.26467-10 1.000000+5 9.01580-11 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.554700-6 1.258900-6 2.464000-6 1.584900-6 3.905200-6 1.995300-6 6.189300-6 2.511900-6 9.809400-6 3.162300-6 1.554700-5 3.981100-6 2.464000-5 5.011900-6 3.905200-5 6.309600-6 6.189200-5 7.943300-6 9.809100-5 1.000000-5 1.554600-4 1.258900-5 2.463900-4 1.584900-5 3.904900-4 1.995300-5 6.188700-4 2.511900-5 9.808200-4 3.162300-5 1.554300-3 3.981100-5 2.462300-3 5.011900-5 3.901000-3 6.309600-5 6.180600-3 7.943300-5 9.792500-3 1.000000-4 1.550200-2 1.258900-4 2.453800-2 1.584900-4 3.878400-2 1.995300-4 6.126200-2 2.511900-4 9.654500-2 3.162300-4 1.516800-1 3.981100-4 2.371500-1 5.011900-4 3.675600-1 6.309600-4 5.610500-1 7.943300-4 8.402300-1 1.000000-3 1.229300+0 1.258900-3 1.748200+0 1.584900-3 2.410500+0 1.995300-3 3.227600+0 2.511900-3 4.215000+0 3.162300-3 5.402200+0 3.981100-3 6.829800+0 5.011900-3 8.537900+0 6.309600-3 1.057800+1 7.943300-3 1.295200+1 1.000000-2 1.557100+1 1.258900-2 1.825900+1 1.584900-2 2.098500+1 1.995300-2 2.372900+1 2.511900-2 2.644100+1 3.162300-2 2.896300+1 3.981100-2 3.109800+1 5.011900-2 3.269600+1 6.309600-2 3.371400+1 7.943300-2 3.415400+1 1.000000-1 3.402400+1 1.258900-1 3.334600+1 1.584900-1 3.219400+1 1.995300-1 3.067500+1 2.511900-1 2.890100+1 3.162300-1 2.696400+1 3.981100-1 2.493900+1 5.011900-1 2.288500+1 6.309600-1 2.084900+1 7.943300-1 1.886200+1 1.000000+0 1.694600+1 1.258900+0 1.513500+1 1.584900+0 1.342400+1 1.995300+0 1.182600+1 2.511900+0 1.035100+1 3.162300+0 9.003000+0 3.981100+0 7.783700+0 5.011900+0 6.691700+0 6.309600+0 5.722200+0 7.943300+0 4.870200+0 1.000000+1 4.126400+0 1.258900+1 3.482000+0 1.584900+1 2.927500+0 1.995300+1 2.453100+0 2.511900+1 2.049500+0 3.162300+1 1.707600+0 3.981100+1 1.419200+0 5.011900+1 1.177000+0 6.309600+1 9.741300-1 7.943300+1 8.047600-1 1.000000+2 6.637400-1 1.258900+2 5.466100-1 1.584900+2 4.495200-1 1.995300+2 3.692100-1 2.511900+2 3.028900-1 3.162300+2 2.482100-1 3.981100+2 2.032000-1 5.011900+2 1.661900-1 6.309600+2 1.358100-1 7.943300+2 1.108900-1 1.000000+3 9.047200-2 1.258900+3 7.376100-2 1.584900+3 6.009600-2 1.995300+3 4.893000-2 2.511900+3 3.981500-2 3.162300+3 3.238000-2 3.981100+3 2.631800-2 5.011900+3 2.138000-2 6.309600+3 1.736000-2 7.943300+3 1.408900-2 1.000000+4 1.142900-2 1.258900+4 9.267200-3 1.584900+4 7.511200-3 1.995300+4 6.085500-3 2.511900+4 4.928500-3 3.162300+4 3.990000-3 3.981100+4 3.229000-3 5.011900+4 2.612300-3 6.309600+4 2.112600-3 7.943300+4 1.708000-3 1.000000+5 1.380400-3 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159548-4 3.981072-4 3.976754-4 5.011872-4 5.005052-4 6.309573-4 6.298825-4 7.943282-4 7.926342-4 1.000000-3 9.973471-4 1.258925-3 1.254774-3 1.584893-3 1.578404-3 1.995262-3 1.985161-3 2.511886-3 2.496139-3 3.162278-3 3.137689-3 3.981072-3 3.942606-3 5.011872-3 4.951517-3 6.309573-3 6.215001-3 7.943282-3 7.795319-3 1.000000-2 9.770068-3 1.258925-2 1.223312-2 1.584893-2 1.530009-2 1.995262-2 1.910712-2 2.511886-2 2.381893-2 3.162278-2 2.963368-2 3.981072-2 3.678818-2 5.011872-2 4.556468-2 6.309573-2 5.628448-2 7.943282-2 6.932208-2 1.000000-1 8.509467-2 1.258925-1 1.041426-1 1.584893-1 1.270385-1 1.995262-1 1.544756-1 2.511886-1 1.872246-1 3.162278-1 2.261740-1 3.981072-1 2.723310-1 5.011872-1 3.269297-1 6.309573-1 3.913798-1 7.943282-1 4.673568-1 1.000000+0 5.568611-1 1.258925+0 6.620548-1 1.584893+0 7.863560-1 1.995262+0 9.334552-1 2.511886+0 1.108041+0 3.162278+0 1.315778+0 3.981072+0 1.563762+0 5.011872+0 1.860651+0 6.309573+0 2.216873+0 7.943282+0 2.645355+0 1.000000+1 3.161991+0 1.258925+1 3.786182+0 1.584893+1 4.541231+0 1.995262+1 5.456500+0 2.511886+1 6.567300+0 3.162278+1 7.917325+0 3.981072+1 9.559782+0 5.011872+1 1.156056+1 6.309573+1 1.400029+1 7.943282+1 1.697793+1 1.000000+2 2.061533+1 1.258925+2 2.506264+1 1.584893+2 3.050409+1 1.995262+2 3.716759+1 2.511886+2 4.533277+1 3.162278+2 5.534538+1 3.981072+2 6.762989+1 5.011872+2 8.271327+1 6.309573+2 1.012428+2 7.943282+2 1.240189+2 1.000000+3 1.520284+2 1.258925+3 1.864938+2 1.584893+3 2.289152+2 1.995262+3 2.811721+2 2.511886+3 3.455484+2 3.162278+3 4.249335+2 3.981072+3 5.228241+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739850-9 3.981072-5 4.341945-9 5.011872-5 6.881146-9 6.309573-5 1.090550-8 7.943282-5 1.728309-8 1.000000-4 2.738428-8 1.258925-4 4.339339-8 1.584893-4 6.873670-8 1.995262-4 1.088909-7 2.511886-4 1.724365-7 3.162278-4 2.729262-7 3.981072-4 4.317533-7 5.011872-4 6.820159-7 6.309573-4 1.074862-6 7.943282-4 1.694048-6 1.000000-3 2.652854-6 1.258925-3 4.151168-6 1.584893-3 6.489690-6 1.995262-3 1.010088-5 2.511886-3 1.574787-5 3.162278-3 2.458889-5 3.981072-3 3.846550-5 5.011872-3 6.035489-5 6.309573-3 9.457254-5 7.943282-3 1.479629-4 1.000000-2 2.299319-4 1.258925-2 3.561320-4 1.584893-2 5.488429-4 1.995262-2 8.455005-4 2.511886-2 1.299938-3 3.162278-2 1.989092-3 3.981072-2 3.022535-3 5.011872-2 4.554041-3 6.309573-2 6.811256-3 7.943282-2 1.011074-2 1.000000-1 1.490533-2 1.258925-1 2.174998-2 1.584893-1 3.145081-2 1.995262-1 4.505062-2 2.511886-1 6.396404-2 3.162278-1 9.005373-2 3.981072-1 1.257762-1 5.011872-1 1.742575-1 6.309573-1 2.395775-1 7.943282-1 3.269715-1 1.000000+0 4.431389-1 1.258925+0 5.968706-1 1.584893+0 7.985372-1 1.995262+0 1.061807+0 2.511886+0 1.403846+0 3.162278+0 1.846500+0 3.981072+0 2.417309+0 5.011872+0 3.151221+0 6.309573+0 4.092700+0 7.943282+0 5.297927+0 1.000000+1 6.838009+0 1.258925+1 8.803072+0 1.584893+1 1.130770+1 1.995262+1 1.449612+1 2.511886+1 1.855156+1 3.162278+1 2.370545+1 3.981072+1 3.025093+1 5.011872+1 3.855817+1 6.309573+1 4.909545+1 7.943282+1 6.245490+1 1.000000+2 7.938467+1 1.258925+2 1.008299+2 1.584893+2 1.279852+2 1.995262+2 1.623586+2 2.511886+2 2.058559+2 3.162278+2 2.608824+2 3.981072+2 3.304773+2 5.011872+2 4.184740+2 6.309573+2 5.297146+2 7.943282+2 6.703093+2 1.000000+3 8.479716+2 1.258925+3 1.072432+3 1.584893+3 1.355978+3 1.995262+3 1.714090+3 2.511886+3 2.166338+3 3.162278+3 2.737344+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.300000-6 1.376881+7 5.432503-6 8.145926+6 5.460000-6 8.052601+6 5.460000-6 1.482159+7 6.200000-6 1.145753+7 6.683439-6 9.821875+6 6.760830-6 9.590732+6 7.413102-6 7.909036+6 8.222426-6 6.348624+6 8.317638-6 6.194228+6 9.225714-6 4.948087+6 9.885531-6 4.250683+6 1.035142-5 3.837550+6 1.150000-5 3.028185+6 1.174898-5 2.883472+6 1.236000-5 2.564905+6 1.236000-5 7.384585+6 1.288250-5 6.342309+6 1.350000-5 5.348067+6 1.380384-5 4.934607+6 1.428894-5 4.355176+6 1.548817-5 3.266099+6 1.603245-5 2.892124+6 1.698244-5 2.365459+6 1.778279-5 2.018270+6 1.798871-5 1.940122+6 2.000000-5 1.354069+6 2.001000-5 1.351795+6 2.001000-5 6.620197+6 2.018366-5 6.576401+6 2.030000-5 6.547833+6 2.065380-5 6.499362+6 2.095000-5 6.491984+6 2.130000-5 6.521392+6 2.150000-5 6.559644+6 2.162719-5 6.585007+6 2.190000-5 6.663866+6 2.230000-5 6.819745+6 2.238721-5 6.863021+6 2.240000-5 6.869398+6 2.240000-5 9.621310+6 2.270000-5 9.785143+6 2.300000-5 9.995175+6 2.317395-5 1.012838+7 2.330000-5 1.023838+7 2.344229-5 1.037237+7 2.350000-5 1.042727+7 2.371374-5 1.063383+7 2.410000-5 1.107819+7 2.426610-5 1.128375+7 2.450000-5 1.159952+7 2.485000-5 1.210555+7 2.500000-5 1.233526+7 2.511886-5 1.252934+7 2.520000-5 1.266339+7 2.570396-5 1.355048+7 2.580000-5 1.372950+7 2.600160-5 1.412480+7 2.630268-5 1.474553+7 2.660725-5 1.539764+7 2.722701-5 1.683094+7 2.754229-5 1.761525+7 2.800000-5 1.880855+7 2.851018-5 2.023646+7 2.884032-5 2.120762+7 2.900000-5 2.169086+7 2.917427-5 2.221263+7 2.951209-5 2.325697+7 3.000000-5 2.483571+7 3.054921-5 2.664438+7 3.090295-5 2.786439+7 3.162278-5 3.034262+7 3.198895-5 3.160702+7 3.235937-5 3.290446+7 3.260000-5 3.372062+7 3.273407-5 3.418217+7 3.311311-5 3.548529+7 3.349654-5 3.674982+7 3.350000-5 3.676138+7 3.388442-5 3.802679+7 3.427678-5 3.925636+7 3.450000-5 3.994333+7 3.500000-5 4.140204+7 3.507519-5 4.161518+7 3.548134-5 4.268486+7 3.570000-5 4.326874+7 3.630781-5 4.468759+7 3.650000-5 4.507112+7 3.690000-5 4.587638+7 3.758374-5 4.699560+7 3.770000-5 4.713620+7 3.830000-5 4.786632+7 3.900000-5 4.841750+7 3.935501-5 4.854516+7 3.970000-5 4.867045+7 3.981072-5 4.869261+7 4.030000-5 4.866593+7 4.070000-5 4.858828+7 4.090000-5 4.850527+7 4.150000-5 4.816683+7 4.168694-5 4.802906+7 4.229500-5 4.749938+7 4.315191-5 4.651176+7 4.330000-5 4.632221+7 4.410200-5 4.518391+7 4.450000-5 4.458407+7 4.472100-5 4.422391+7 4.500000-5 4.377620+7 4.570882-5 4.258826+7 4.610000-5 4.190599+7 4.623810-5 4.165362+7 4.677351-5 4.069657+7 4.720000-5 3.995785+7 4.731513-5 3.974942+7 4.850000-5 3.759158+7 4.897788-5 3.673216+7 4.900000-5 3.669127+7 5.011872-5 3.470450+7 5.080000-5 3.352524+7 5.188000-5 3.170551+7 5.308844-5 2.977160+7 5.400000-5 2.837476+7 5.432503-5 2.788557+7 5.559043-5 2.608563+7 5.580000-5 2.580276+7 5.650000-5 2.486240+7 5.688529-5 2.435278+7 5.821032-5 2.270268+7 5.900000-5 2.176629+7 6.150000-5 1.906899+7 6.165950-5 1.890798+7 6.382635-5 1.684971+7 6.456542-5 1.621477+7 6.500000-5 1.584705+7 6.606934-5 1.497113+7 6.683439-5 1.438245+7 6.800000-5 1.354169+7 7.150000-5 1.128565+7 7.161434-5 1.121916+7 7.300000-5 1.043610+7 7.500000-5 9.423873+6 7.673615-5 8.616604+6 7.796000-5 8.099383+6 7.796000-5 9.455875+6 7.852356-5 9.261160+6 7.900000-5 9.096657+6 7.920000-5 9.026801+6 8.000000-5 8.745706+6 8.035261-5 8.621957+6 8.080000-5 8.468976+6 8.150000-5 8.231378+6 8.222426-5 7.989886+6 8.230000-5 7.965242+6 8.317638-5 7.680632+6 8.330000-5 7.640597+6 8.450000-5 7.257077+6 8.570000-5 6.891079+6 8.709636-5 6.487129+6 8.730000-5 6.430855+6 8.810489-5 6.210244+6 8.912509-5 5.938650+6 9.150000-5 5.354003+6 9.332543-5 4.948778+6 9.440609-5 4.722891+6 9.549926-5 4.505611+6 9.660509-5 4.298515+6 9.900000-5 3.889648+6 9.903000-5 3.884846+6 9.903000-5 4.454466+6 9.965000-5 4.391624+6 1.000000-4 4.354859+6 1.002000-4 4.333924+6 1.007000-4 4.279653+6 1.012000-4 4.224221+6 1.018000-4 4.156880+6 1.025000-4 4.077273+6 1.032000-4 3.996569+6 1.040000-4 3.903623+6 1.047129-4 3.820657+6 1.055000-4 3.729167+6 1.059254-4 3.679314+6 1.065000-4 3.613603+6 1.071519-4 3.538454+6 1.075000-4 3.498577+6 1.080000-4 3.440718+6 1.083927-4 3.396213+6 1.085000-4 3.384278+6 1.100000-4 3.218445+6 1.115000-4 3.059127+6 1.135011-4 2.857680+6 1.140000-4 2.809479+6 1.150000-4 2.716013+6 1.160000-4 2.625247+6 1.161449-4 2.612208+6 1.190000-4 2.371548+6 1.216186-4 2.174685+6 1.230269-4 2.077523+6 1.244515-4 1.984313+6 1.260000-4 1.889013+6 1.281600-4 1.765842+6 1.281600-4 1.890539+6 1.282200-4 1.889347+6 1.285000-4 1.881896+6 1.289000-4 1.870978+6 1.292000-4 1.862595+6 1.296000-4 1.851177+6 1.300000-4 1.839570+6 1.305000-4 1.824983+6 1.310000-4 1.810047+6 1.316000-4 1.791766+6 1.318257-4 1.784676+6 1.321000-4 1.776181+6 1.328000-4 1.753870+6 1.329500-4 1.748933+6 1.329500-4 1.836265+6 1.330000-4 1.836003+6 1.333521-4 1.831725+6 1.334000-4 1.831106+6 1.336000-4 1.828325+6 1.340000-4 1.822626+6 1.344000-4 1.816076+6 1.348000-4 1.809464+6 1.348963-4 1.807768+6 1.353000-4 1.800188+6 1.356100-4 1.794209+6 1.357000-4 1.792573+6 1.359000-4 1.788712+6 1.362000-4 1.782564+6 1.364583-4 1.776984+6 1.368000-4 1.769853+6 1.370000-4 1.765435+6 1.375000-4 1.753970+6 1.380384-4 1.741255+6 1.382000-4 1.737347+6 1.390000-4 1.717385+6 1.391600-4 1.713107+6 1.391600-4 1.780671+6 1.397000-4 1.765614+6 1.400000-4 1.757065+6 1.405000-4 1.743202+6 1.409000-4 1.731448+6 1.412538-4 1.721301+6 1.414000-4 1.717212+6 1.420000-4 1.699995+6 1.425000-4 1.685656+6 1.428894-4 1.674255+6 1.435000-4 1.656716+6 1.437000-4 1.651109+6 1.445440-4 1.627130+6 1.450000-4 1.614267+6 1.462177-4 1.580251+6 1.465000-4 1.572716+6 1.472000-4 1.553944+6 1.480000-4 1.533174+6 1.496236-4 1.491908+6 1.500000-4 1.482705+6 1.513561-4 1.451163+6 1.520000-4 1.436758+6 1.520200-4 1.436321+6 1.522600-4 1.431255+6 1.531087-4 1.413758+6 1.540000-4 1.396071+6 1.550000-4 1.377587+6 1.560000-4 1.360098+6 1.570000-4 1.344154+6 1.580000-4 1.329219+6 1.584893-4 1.322565+6 1.590000-4 1.316059+6 1.600000-4 1.304250+6 1.603245-4 1.300832+6 1.610000-4 1.293878+6 1.620000-4 1.284563+6 1.621810-4 1.283109+6 1.627000-4 1.279092+6 1.640590-4 1.269926+6 1.643000-4 1.268442+6 1.659587-4 1.261359+6 1.660000-4 1.261213+6 1.678804-4 1.258020+6 1.680000-4 1.257875+6 1.690000-4 1.258391+6 1.698244-4 1.259376+6 1.705000-4 1.260845+6 1.720000-4 1.266307+6 1.736500-4 1.275052+6 1.737801-4 1.275911+6 1.740000-4 1.277464+6 1.770000-4 1.303385+6 1.778279-4 1.312586+6 1.780000-4 1.314558+6 1.800000-4 1.339505+6 1.810000-4 1.353496+6 1.819701-4 1.368347+6 1.820000-4 1.368818+6 1.835000-4 1.393575+6 1.840772-4 1.403612+6 1.865000-4 1.449996+6 1.880000-4 1.481250+6 1.883649-4 1.489190+6 1.905461-4 1.539886+6 1.930000-4 1.602294+6 1.950000-4 1.657241+6 1.972423-4 1.723418+6 1.980000-4 1.746897+6 1.990000-4 1.778793+6 1.995262-4 1.795511+6 2.000000-4 1.810841+6 2.020000-4 1.877895+6 2.041738-4 1.955206+6 2.051300-4 1.990252+6 2.065380-4 2.041710+6 2.089296-4 2.133477+6 2.100000-4 2.176459+6 2.113489-4 2.229006+6 2.137962-4 2.328758+6 2.150000-4 2.379888+6 2.162719-4 2.431901+6 2.187762-4 2.538330+6 2.190000-4 2.548092+6 2.193300-4 2.562228+6 2.213095-4 2.645106+6 2.220000-4 2.674737+6 2.240000-4 2.762530+6 2.264644-4 2.866355+6 2.280000-4 2.933145+6 2.290868-4 2.979851+6 2.300000-4 3.017612+6 2.317395-4 3.091052+6 2.330000-4 3.145407+6 2.344229-4 3.205589+6 2.371374-4 3.316850+6 2.380000-4 3.352992+6 2.398833-4 3.430288+6 2.400000-4 3.435134+6 2.426610-4 3.541132+6 2.430000-4 3.554829+6 2.450000-4 3.633436+6 2.454709-4 3.652175+6 2.483133-4 3.760516+6 2.500000-4 3.823383+6 2.511886-4 3.868225+6 2.519300-4 3.896403+6 2.520000-4 3.899074+6 2.540973-4 3.974910+6 2.570396-4 4.078510+6 2.580000-4 4.112794+6 2.600160-4 4.180793+6 2.630268-4 4.278959+6 2.650000-4 4.344143+6 2.670000-4 4.405930+6 2.691535-4 4.469553+6 2.722701-4 4.562784+6 2.730000-4 4.582918+6 2.754229-4 4.646137+6 2.800000-4 4.766738+6 2.818383-4 4.807410+6 2.851018-4 4.880099+6 2.880000-4 4.945037+6 2.951209-4 5.075706+6 3.000000-4 5.147092+6 3.030000-4 5.191020+6 3.100000-4 5.267857+6 3.126079-4 5.292498+6 3.162278-4 5.318798+6 3.200000-4 5.346093+6 3.235937-4 5.366163+6 3.280000-4 5.382130+6 3.311311-4 5.393456+6 3.350000-4 5.401709+6 3.388442-4 5.403420+6 3.427678-4 5.405127+6 3.430000-4 5.405229+6 3.470000-4 5.402133+6 3.500000-4 5.395149+6 3.507519-4 5.393419+6 3.550000-4 5.383586+6 3.589219-4 5.370593+6 3.600000-4 5.367054+6 3.672823-4 5.333509+6 3.715352-4 5.310245+6 3.758374-4 5.281664+6 3.801894-4 5.253288+6 3.850000-4 5.217904+6 3.851300-4 5.216802+6 3.851300-4 5.347960+6 3.935501-4 5.291804+6 3.992000-4 5.250764+6 4.000000-4 5.245707+6 4.015000-4 5.234555+6 4.027170-4 5.226056+6 4.063500-4 5.201460+6 4.063500-4 5.324276+6 4.070000-4 5.317232+6 4.073803-4 5.313433+6 4.084000-4 5.302987+6 4.097000-4 5.290728+6 4.100000-4 5.288111+6 4.113000-4 5.275398+6 4.128000-4 5.261704+6 4.130000-4 5.259989+6 4.143000-4 5.248537+6 4.144800-4 5.247042+6 4.158000-4 5.236142+6 4.168694-4 5.227864+6 4.173000-4 5.224441+6 4.188000-4 5.213252+6 4.200000-4 5.204890+6 4.203000-4 5.202512+6 4.220000-4 5.189854+6 4.225000-4 5.186036+6 4.265795-4 5.156871+6 4.280000-4 5.147021+6 4.285000-4 5.143088+6 4.315191-4 5.119291+6 4.335000-4 5.103709+6 4.350000-4 5.091649+6 4.390000-4 5.059616+6 4.400000-4 5.051509+6 4.415704-4 5.038681+6 4.450000-4 5.008426+6 4.466836-4 4.993465+6 4.500000-4 4.963940+6 4.518559-4 4.946607+6 4.530000-4 4.936016+6 4.550000-4 4.917379+6 4.600000-4 4.871120+6 4.623810-4 4.849257+6 4.677351-4 4.797603+6 4.680000-4 4.795092+6 4.731513-4 4.746534+6 4.786301-4 4.693789+6 4.841724-4 4.641493+6 4.850000-4 4.633823+6 4.930000-4 4.557036+6 4.954502-4 4.533830+6 5.011872-4 4.478301+6 5.069907-4 4.423752+6 5.080000-4 4.414426+6 5.150000-4 4.346375+6 5.188000-4 4.310187+6 5.248075-4 4.252149+6 5.300000-4 4.202817+6 5.370318-4 4.137630+6 5.400000-4 4.109481+6 5.432503-4 4.079129+6 5.450000-4 4.062994+6 5.500000-4 4.016832+6 5.623413-4 3.904137+6 5.650000-4 3.880803+6 5.688529-4 3.846907+6 5.821032-4 3.730981+6 5.850000-4 3.705879+6 5.900000-4 3.662872+6 6.003200-4 3.576755+6 6.003200-4 3.782150+6 6.025596-4 3.763813+6 6.095369-4 3.705253+6 6.100000-4 3.701436+6 6.165950-4 3.647538+6 6.200000-4 3.620368+6 6.237348-4 3.590241+6 6.280000-4 3.556451+6 6.309573-4 3.533131+6 6.312300-4 3.530996+6 6.382635-4 3.476416+6 6.531306-4 3.363053+6 6.683439-4 3.250072+6 6.700000-4 3.238212+6 6.760830-4 3.194802+6 6.839116-4 3.138711+6 6.850000-4 3.130964+6 6.918310-4 3.082749+6 7.000000-4 3.025889+6 7.079458-4 2.972475+6 7.080000-4 2.972117+6 7.139700-4 2.932823+6 7.139700-4 2.972636+6 7.161434-4 2.958574+6 7.244360-4 2.905322+6 7.350000-4 2.838588+6 7.413102-4 2.800221+6 7.500000-4 2.747640+6 7.585776-4 2.696925+6 7.673615-4 2.646775+6 7.762471-4 2.597533+6 7.852356-4 2.547788+6 7.943282-4 2.498625+6 8.000000-4 2.468317+6 8.128305-4 2.402050+6 8.222426-4 2.355112+6 8.314300-4 2.310698+6 8.314300-4 2.357491+6 8.317638-4 2.355895+6 8.413951-4 2.309329+6 8.511380-4 2.263841+6 8.609938-4 2.218546+6 8.810489-4 2.131221+6 8.820000-4 2.127190+6 9.015711-4 2.046758+6 9.120108-4 2.005009+6 9.200000-4 1.974120+6 9.225714-4 1.964325+6 9.332543-4 1.923940+6 9.549926-4 1.845166+6 9.600000-4 1.827669+6 9.700000-4 1.793491+6 9.772372-4 1.769111+6 9.885531-4 1.732056+6 1.000000-3 1.695474+6 1.011579-3 1.659407+6 1.023293-3 1.623969+6 1.035142-3 1.589326+6 1.047129-3 1.555546+6 1.050000-3 1.547525+6 1.059254-3 1.521903+6 1.071519-3 1.489017+6 1.083927-3 1.456727+6 1.110000-3 1.391913+6 1.122018-3 1.363529+6 1.135011-3 1.333625+6 1.148154-3 1.304143+6 1.150000-3 1.300087+6 1.188502-3 1.219512+6 1.190000-3 1.216518+6 1.202264-3 1.192393+6 1.216186-3 1.165562+6 1.226800-3 1.145760+6 1.230269-3 1.139358+6 1.244515-3 1.113394+6 1.288250-3 1.039320+6 1.303167-3 1.015494+6 1.318257-3 9.922674+5 1.333521-3 9.694771+5 1.350000-3 9.457735+5 1.364583-3 9.254161+5 1.396368-3 8.832667+5 1.412538-3 8.627964+5 1.428894-3 8.427207+5 1.462177-3 8.037863+5 1.479108-3 7.849308+5 1.500000-3 7.625985+5 1.513561-3 7.484404+5 1.531087-3 7.307574+5 1.548817-3 7.134171+5 1.566751-3 6.964499+5 1.570000-3 6.934424+5 1.584893-3 6.799150+5 1.603245-3 6.637930+5 1.621810-3 6.480768+5 1.640590-3 6.325021+5 1.650000-3 6.249159+5 1.678804-3 6.024244+5 1.690000-3 5.940002+5 1.717908-3 5.736881+5 1.730000-3 5.652025+5 1.757924-3 5.463463+5 1.798871-3 5.202013+5 1.800000-3 5.195081+5 1.819701-3 5.074852+5 1.862087-3 4.830571+5 1.883649-3 4.713146+5 1.905461-3 4.597608+5 1.927525-3 4.484054+5 1.950000-3 4.372826+5 1.972423-3 4.265341+5 2.041738-3 3.956358+5 2.065380-3 3.858884+5 2.070000-3 3.840257+5 2.089296-3 3.763092+5 2.137962-3 3.577808+5 2.150000-3 3.533729+5 2.162719-3 3.487870+5 2.238721-3 3.231780+5 2.264644-3 3.151050+5 2.317395-3 2.994244+5 2.344229-3 2.918526+5 2.371374-3 2.844618+5 2.393900-3 2.784911+5 2.393900-3 6.986964+5 2.398833-3 6.965877+5 2.454709-3 6.735415+5 2.483133-3 6.623673+5 2.493700-3 6.582802+5 2.493700-3 8.687199+5 2.511886-3 8.632619+5 2.517000-3 8.617506+5 2.517400-3 8.623436+5 2.540973-3 8.582956+5 2.570396-3 8.535995+5 2.585000-3 8.514286+5 2.600160-3 8.483686+5 2.630268-3 8.425637+5 2.650000-3 8.345378+5 2.670000-3 8.266888+5 2.691535-3 8.169171+5 2.700000-3 8.131549+5 2.722701-3 8.025576+5 2.740000-3 7.944047+5 2.754229-3 7.855975+5 2.770000-3 7.753416+5 2.786121-3 7.642946+5 2.818383-3 7.428188+5 2.839300-3 7.293495+5 2.851018-3 7.217942+5 2.884032-3 7.010916+5 2.944600-3 6.652391+5 2.944600-3 7.715776+5 2.951209-3 7.674969+5 2.985383-3 7.468705+5 3.000000-3 7.382799+5 3.030000-3 7.208714+5 3.054921-3 7.066790+5 3.090295-3 6.871868+5 3.126079-3 6.680956+5 3.198895-3 6.315444+5 3.273407-3 5.970510+5 3.311311-3 5.805369+5 3.349654-3 5.644588+5 3.388442-3 5.486557+5 3.400000-3 5.440702+5 3.409700-3 5.402624+5 3.409700-3 5.729447+5 3.427678-3 5.659459+5 3.467369-3 5.509310+5 3.484000-3 5.447707+5 3.507519-3 5.360362+5 3.600000-3 5.034431+5 3.630781-3 4.932364+5 3.672823-3 4.797610+5 3.678700-3 4.779178+5 3.678700-3 4.982551+5 3.700000-3 4.915275+5 3.715352-3 4.867608+5 3.720000-3 4.853173+5 3.758374-3 4.735749+5 3.801894-3 4.607588+5 3.845918-3 4.483071+5 3.850000-3 4.471700+5 3.890451-3 4.361092+5 3.981072-3 4.127391+5 4.000000-3 4.080714+5 4.027170-3 4.014962+5 4.073803-3 3.905592+5 4.080000-3 3.891389+5 4.120975-3 3.799041+5 4.150000-3 3.735554+5 4.216965-3 3.593702+5 4.230000-3 3.566999+5 4.265795-3 3.495238+5 4.315191-3 3.399069+5 4.350000-3 3.333619+5 4.365158-3 3.305618+5 4.415704-3 3.214622+5 4.466836-3 3.125964+5 4.500000-3 3.070271+5 4.518559-3 3.039707+5 4.580000-3 2.941211+5 4.623810-3 2.873636+5 4.677351-3 2.794098+5 4.731513-3 2.716900+5 4.841724-3 2.567847+5 4.897788-3 2.496527+5 4.954502-3 2.427176+5 5.000000-3 2.373436+5 5.011872-3 2.359688+5 5.069907-3 2.294089+5 5.128614-3 2.229251+5 5.188000-3 2.166357+5 5.248075-3 2.105332+5 5.308844-3 2.045575+5 5.432503-3 1.931335+5 5.495409-3 1.876710+5 5.500000-3 1.872812+5 5.559043-3 1.823674+5 5.623413-3 1.772079+5 5.688529-3 1.722015+5 5.821032-3 1.626230+5 5.888437-3 1.580463+5 5.956621-3 1.535886+5 6.000000-3 1.508341+5 6.025596-3 1.492416+5 6.095369-3 1.450179+5 6.165950-3 1.409171+5 6.237348-3 1.369002+5 6.309573-3 1.330028+5 6.382635-3 1.292032+5 6.456542-3 1.255180+5 6.531306-3 1.219171+5 6.606934-3 1.184209+5 6.683439-3 1.150261+5 6.760830-3 1.117151+5 6.800000-3 1.100899+5 6.839116-3 1.084999+5 6.918310-3 1.053786+5 7.079458-3 9.939591+4 7.161434-3 9.653847+4 7.244360-3 9.375613+4 7.328245-3 9.105816+4 7.500000-3 8.587436+4 7.585776-3 8.344184+4 7.673615-3 8.103879+4 7.762471-3 7.869607+4 7.852356-3 7.642487+4 8.000000-3 7.287264+4 8.035261-3 7.205958+4 8.128305-3 6.996996+4 8.222426-3 6.793489+4 8.317638-3 6.596192+4 8.413951-3 6.404897+4 8.511380-3 6.218596+4 8.609938-3 6.037839+4 8.709636-3 5.861365+4 8.810489-3 5.690204+4 8.912509-3 5.524311+4 9.015711-3 5.362740+4 9.120108-3 5.206110+4 9.332543-3 4.907058+4 9.500000-3 4.687897+4 9.549926-3 4.625236+4 9.660509-3 4.490671+4 9.772372-3 4.359052+4 9.885531-3 4.231493+4 1.000000-2 4.106814+4 1.011579-2 3.985944+4 1.023293-2 3.868793+4 1.035142-2 3.755255+4 1.047129-2 3.644889+4 1.059254-2 3.537607+4 1.071519-2 3.433557+4 1.083927-2 3.332699+4 1.096478-2 3.234889+4 1.109175-2 3.139338+4 1.122018-2 3.046450+4 1.135011-2 2.956367+4 1.148154-2 2.868971+4 1.161449-2 2.784278+4 1.174898-2 2.702198+4 1.188502-2 2.622596+4 1.202264-2 2.545410+4 1.216186-2 2.470377+4 1.230269-2 2.397326+4 1.244515-2 2.326319+4 1.258925-2 2.256905+4 1.266000-2 2.223904+4 1.266000-2 5.608507+4 1.273503-2 5.542013+4 1.274300-2 5.535020+4 1.288250-2 5.362697+4 1.290000-2 5.341589+4 1.303167-2 5.201648+4 1.318257-2 5.047507+4 1.333521-2 4.893511+4 1.364583-2 4.599624+4 1.380384-2 4.459485+4 1.396368-2 4.323548+4 1.400000-2 4.293463+4 1.412538-2 4.191624+4 1.428894-2 4.063526+4 1.445440-2 3.939097+4 1.462177-2 3.817331+4 1.474600-2 3.730255+4 1.474600-2 5.190255+4 1.487000-2 5.085494+4 1.496236-2 5.003663+4 1.500000-2 4.970843+4 1.533000-2 4.695532+4 1.533000-2 5.426730+4 1.548817-2 5.290089+4 1.566751-2 5.138210+4 1.584893-2 4.990822+4 1.603245-2 4.847684+4 1.610000-2 4.796370+4 1.621810-2 4.707603+4 1.640590-2 4.571175+4 1.647000-2 4.525846+4 1.659587-2 4.439656+4 1.678804-2 4.312489+4 1.698244-2 4.189080+4 1.717908-2 4.067686+4 1.737801-2 3.948637+4 1.757924-2 3.833168+4 1.778279-2 3.721164+4 1.798871-2 3.612357+4 1.819701-2 3.506815+4 1.840772-2 3.404293+4 1.862087-2 3.304848+4 1.883649-2 3.208319+4 1.900000-2 3.138015+4 1.927525-2 3.023639+4 1.972423-2 2.849401+4 2.000000-2 2.748506+4 2.018366-2 2.684096+4 2.041738-2 2.604682+4 2.065380-2 2.527669+4 2.089296-2 2.452893+4 2.113489-2 2.380286+4 2.137962-2 2.309888+4 2.142010-2 2.298524+4 2.162719-2 2.241596+4 2.187762-2 2.175105+4 2.264644-2 1.986591+4 2.290868-2 1.927553+4 2.344229-2 1.814824+4 2.371374-2 1.760973+4 2.398833-2 1.708717+4 2.400000-2 1.706545+4 2.426610-2 1.658041+4 2.454709-2 1.608336+4 2.483133-2 1.559832+4 2.511886-2 1.512829+4 2.600160-2 1.380301+4 2.630268-2 1.338826+4 2.691535-2 1.259666+4 2.722701-2 1.221874+4 2.786121-2 1.149743+4 2.800000-2 1.134653+4 2.818383-2 1.115072+4 2.851018-2 1.081393+4 2.884032-2 1.048758+4 2.917427-2 1.017133+4 2.951209-2 9.864784+3 3.019952-2 9.279711+3 3.054921-2 9.000679+3 3.090295-2 8.730033+3 3.198895-2 7.956194+3 3.235937-2 7.714183+3 3.273407-2 7.479167+3 3.300000-2 7.318405+3 3.311311-2 7.251408+3 3.349654-2 7.030328+3 3.388442-2 6.816141+3 3.427678-2 6.608650+3 3.467369-2 6.407632+3 3.507519-2 6.212796+3 3.548134-2 6.023360+3 3.589219-2 5.839833+3 3.650000-2 5.582350+3 3.715352-2 5.321752+3 3.758374-2 5.159391+3 3.845918-2 4.849586+3 3.890451-2 4.700970+3 3.935501-2 4.556882+3 3.981072-2 4.417322+3 4.073803-2 4.149314+3 4.120975-2 4.021509+3 4.168694-2 3.897693+3 4.265795-2 3.661592+3 4.315191-2 3.549080+3 4.365158-2 3.440106+3 4.415704-2 3.334531+3 4.466836-2 3.232251+3 4.518559-2 3.133086+3 4.570882-2 3.036671+3 4.677351-2 2.852668+3 4.731513-2 2.764983+3 4.786301-2 2.679718+3 4.800000-2 2.658972+3 4.841724-2 2.596669+3 4.897788-2 2.516095+3 5.011872-2 2.362471+3 5.069907-2 2.289286+3 5.128614-2 2.218394+3 5.188000-2 2.149741+3 5.248075-2 2.083247+3 5.432503-2 1.895948+3 5.623413-2 1.725643+3 5.688529-2 1.671982+3 5.754399-2 1.619984+3 5.821032-2 1.569636+3 5.888437-2 1.520721+3 6.000000-2 1.444292+3 6.025596-2 1.427507+3 6.095369-2 1.383100+3 6.165950-2 1.340102+3 6.237348-2 1.298463+3 6.382635-2 1.219044+3 6.456542-2 1.181017+3 6.683439-2 1.073916+3 6.760830-2 1.040458+3 6.839116-2 1.008063+3 6.918310-2 9.766761+2 7.000000-2 9.456993+2 7.161434-2 8.882399+2 7.328245-2 8.338109+2 7.413102-2 8.078235+2 7.498942-2 7.825106+2 7.500000-2 7.822055+2 7.673615-2 7.342449+2 8.128305-2 6.262980+2 8.222426-2 6.067264+2 8.317638-2 5.877770+2 8.413951-2 5.694303+2 8.511380-2 5.516661+2 8.579800-2 5.396356+2 8.579800-2 2.568498+3 8.709636-2 2.471354+3 8.810489-2 2.399302+3 8.830000-2 2.385702+3 8.950000-2 2.309932+3 9.015711-2 2.264767+3 9.150000-2 2.176146+3 9.332543-2 2.070999+3 9.440609-2 2.012085+3 9.549926-2 1.954850+3 9.885531-2 1.785169+3 1.000000-1 1.731961+3 1.011580-1 1.680338+3 1.023293-1 1.630264+3 1.035142-1 1.581687+3 1.047129-1 1.534501+3 1.059254-1 1.489341+3 1.071519-1 1.445516+3 1.083927-1 1.402984+3 1.109175-1 1.321655+3 1.135011-1 1.245040+3 1.148154-1 1.208420+3 1.161449-1 1.172883+3 1.174898-1 1.138395+3 1.190000-1 1.101326+3 1.202264-1 1.071824+3 1.244515-1 9.781540+2 1.288250-1 8.926076+2 1.303167-1 8.657941+2 1.333521-1 8.145670+2 1.364583-1 7.663764+2 1.380384-1 7.433647+2 1.396368-1 7.210461+2 1.412538-1 6.993981+2 1.428894-1 6.784037+2 1.445440-1 6.580373+2 1.479108-1 6.191371+2 1.500000-1 5.965884+2 1.531088-1 5.650844+2 1.548817-1 5.481400+2 1.603245-1 5.000733+2 1.621810-1 4.849994+2 1.640590-1 4.703811+2 1.678804-1 4.424567+2 1.717908-1 4.161940+2 1.737801-1 4.036541+2 1.757924-1 3.914941+2 1.778279-1 3.797020+2 1.798871-1 3.682661+2 1.819701-1 3.571758+2 1.840772-1 3.464246+2 1.862087-1 3.359977+2 1.883649-1 3.258897+2 1.927525-1 3.065786+2 2.000000-1 2.779873+2 2.018366-1 2.713286+2 2.041738-1 2.631689+2 2.065380-1 2.552553+2 2.137962-1 2.329163+2 2.162719-1 2.259139+2 2.187762-1 2.191255+2 2.238721-1 2.061582+2 2.264644-1 1.999658+2 2.317395-1 1.881402+2 2.344229-1 1.825447+2 2.426610-1 1.667385+2 2.454709-1 1.617808+2 2.483133-1 1.569708+2 2.511886-1 1.523040+2 2.540973-1 1.477781+2 2.570396-1 1.433871+2 2.630268-1 1.350034+2 2.660725-1 1.309979+2 2.691535-1 1.271134+2 2.722701-1 1.233447+2 2.754229-1 1.196880+2 2.786121-1 1.161399+2 2.818383-1 1.126971+2 2.851018-1 1.094036+2 2.884032-1 1.062064+2 2.917427-1 1.031043+2 2.951209-1 1.000930+2 2.985383-1 9.717012+1 3.000000-1 9.595609+1 3.000060-1 9.595115+1 3.019952-1 9.433243+1 3.090295-1 8.890314+1 3.162278-1 8.379010+1 3.198895-1 8.134513+1 3.235937-1 7.897500+1 3.273407-1 7.667409+1 3.311311-1 7.447491+1 3.349654-1 7.233908+1 3.388442-1 7.026475+1 3.427678-1 6.825008+1 3.467369-1 6.629395+1 3.507519-1 6.439404+1 3.548134-1 6.254865+1 3.630781-1 5.901764+1 3.672823-1 5.732770+1 3.715352-1 5.568698+1 3.758374-1 5.409324+1 3.801894-1 5.254536+1 3.845918-1 5.107064+1 3.890451-1 4.963738+1 3.935501-1 4.824435+1 3.981072-1 4.689063+1 4.000000-1 4.634406+1 4.027170-1 4.557501+1 4.120975-1 4.305650+1 4.168694-1 4.185055+1 4.216965-1 4.067841+1 4.265795-1 3.953928+1 4.365158-1 3.735594+1 4.415705-1 3.633129+1 4.518559-1 3.436992+1 4.570882-1 3.342937+1 4.623810-1 3.251587+1 4.677351-1 3.162736+1 4.731513-1 3.076364+1 4.786301-1 2.992357+1 4.841724-1 2.910645+1 4.897788-1 2.831168+1 4.954502-1 2.753862+1 5.011872-1 2.680217+1 5.069907-1 2.608542+1 5.128614-1 2.538976+1 5.188000-1 2.471326+1 5.248075-1 2.405486+1 5.308844-1 2.341413+1 5.370318-1 2.279079+1 5.432503-1 2.218407+1 5.495409-1 2.159350+1 5.559043-1 2.101867+1 5.623413-1 2.045916+1 5.688529-1 1.992627+1 5.754399-1 1.940727+1 5.821032-1 1.890232+1 5.888437-1 1.841167+1 5.956621-1 1.793379+1 6.000000-1 1.763899+1 6.025596-1 1.746833+1 6.095369-1 1.701527+1 6.165950-1 1.657397+1 6.237348-1 1.614412+1 6.309573-1 1.572563+1 6.382635-1 1.532806+1 6.456542-1 1.494095+1 6.531306-1 1.456363+1 6.606935-1 1.419585+1 6.623700-1 1.411635+1 6.683439-1 1.383825+1 6.760830-1 1.348965+1 6.839117-1 1.314985+1 6.918310-1 1.281885+1 6.998420-1 1.249636+1 7.079458-1 1.218202+1 7.161434-1 1.188289+1 7.244360-1 1.159111+1 7.328245-1 1.130650+1 7.413102-1 1.102888+1 7.498942-1 1.075809+1 7.585776-1 1.049464+1 7.673615-1 1.023766+1 7.762471-1 9.987096+0 7.852356-1 9.742860+0 7.943282-1 9.504637+0 8.035261-1 9.272407+0 8.128305-1 9.050839+0 8.413951-1 8.417419+0 8.511380-1 8.216856+0 8.609938-1 8.021155+0 8.709636-1 7.830122+0 8.810489-1 7.643727+0 8.912509-1 7.461930+0 9.015711-1 7.284457+0 9.120108-1 7.111208+0 9.225714-1 6.942184+0 9.332543-1 6.781152+0 9.440609-1 6.623896+0 9.549926-1 6.470915+0 9.660509-1 6.321470+0 9.772372-1 6.175479+0 9.885531-1 6.033063+0 1.000000+0 5.894066+0 1.011579+0 5.758382+0 1.022000+0 5.640221+0 1.023293+0 5.626150+0 1.047129+0 5.376020+0 1.059254+0 5.255270+0 1.071519+0 5.137237+0 1.083927+0 5.022213+0 1.096478+0 4.909772+0 1.109175+0 4.799842+0 1.122018+0 4.692384+0 1.135011+0 4.587350+0 1.148154+0 4.484689+0 1.161449+0 4.384475+0 1.174898+0 4.286577+0 1.188502+0 4.193045+0 1.216186+0 4.012049+0 1.230269+0 3.924503+0 1.244515+0 3.839139+0 1.258925+0 3.755654+0 1.273503+0 3.674114+0 1.288250+0 3.594345+0 1.303167+0 3.516328+0 1.318257+0 3.440058+0 1.333521+0 3.367394+0 1.348963+0 3.296261+0 1.364583+0 3.226634+0 1.380384+0 3.158481+0 1.396368+0 3.091779+0 1.412538+0 3.026776+0 1.428894+0 2.963144+0 1.445440+0 2.900848+0 1.462177+0 2.839864+0 1.479108+0 2.780176+0 1.496236+0 2.721784+0 1.513561+0 2.666348+0 1.531087+0 2.612039+0 1.548817+0 2.558834+0 1.566751+0 2.506716+0 1.584893+0 2.455835+0 1.621810+0 2.357153+0 1.640590+0 2.309317+0 1.659587+0 2.262462+0 1.678804+0 2.216591+0 1.698244+0 2.171679+0 1.717908+0 2.128859+0 1.737801+0 2.086886+0 1.778279+0 2.005444+0 1.798871+0 1.966044+0 1.819701+0 1.927419+0 1.840772+0 1.889555+0 1.862087+0 1.852435+0 1.883649+0 1.816058+0 1.905461+0 1.780394+0 1.927525+0 1.745455+0 1.949845+0 1.711226+0 1.972423+0 1.678516+0 1.995262+0 1.646436+0 2.044000+0 1.581196+0 2.065380+0 1.553961+0 2.089296+0 1.524373+0 2.113489+0 1.495349+0 2.137962+0 1.466884+0 2.162719+0 1.438967+0 2.187762+0 1.411603+0 2.213095+0 1.384779+0 2.238721+0 1.359216+0 2.264644+0 1.334127+0 2.317395+0 1.285352+0 2.344229+0 1.261719+0 2.371374+0 1.238519+0 2.398833+0 1.215748+0 2.426610+0 1.193399+0 2.454709+0 1.171467+0 2.483133+0 1.149953+0 2.511886+0 1.128852+0 2.540973+0 1.108718+0 2.570396+0 1.088946+0 2.630268+0 1.050472+0 2.660725+0 1.031810+0 2.691535+0 1.013479+0 2.722701+0 9.954735-1 2.754229+0 9.777886-1 2.786121+0 9.604217-1 2.818383+0 9.433669-1 2.851018+0 9.266274-1 2.884032+0 9.101962-1 2.917427+0 8.944886-1 2.951209+0 8.790538-1 3.019952+0 8.489914-1 3.090295+0 8.200478-1 3.126079+0 8.059480-1 3.162278+0 7.920904-1 3.198895+0 7.784721-1 3.235937+0 7.650901-1 3.273407+0 7.519414-1 3.311311+0 7.390280-1 3.349654+0 7.263456-1 3.388442+0 7.142204-1 3.427678+0 7.022995-1 3.507519+0 6.790619-1 3.589219+0 6.566674-1 3.630781+0 6.457484-1 3.672823+0 6.350112-1 3.715352+0 6.244531-1 3.758374+0 6.140723-1 3.801894+0 6.038665-1 3.845918+0 5.938378-1 3.890451+0 5.839831-1 3.935501+0 5.745577-1 4.000000+0 5.615093-1 4.073803+0 5.471947-1 4.168694+0 5.297414-1 4.216965+0 5.212247-1 4.265795+0 5.128449-1 4.315191+0 5.045997-1 4.365158+0 4.964876-1 4.415704+0 4.885074-1 4.466836+0 4.806572-1 4.518559+0 4.729389-1 4.570882+0 4.653499-1 4.623810+0 4.580869-1 4.677351+0 4.509382-1 4.786301+0 4.369798-1 4.897788+0 4.234988-1 4.954502+0 4.169150-1 5.011872+0 4.104337-1 5.069907+0 4.040530-1 5.128614+0 3.977719-1 5.188000+0 3.915896-1 5.248075+0 3.855046-1 5.308844+0 3.795185-1 5.370318+0 3.736295-1 5.432503+0 3.679865-1 5.495409+0 3.624293-1 5.623413+0 3.515704-1 5.688529+0 3.462636-1 5.821032+0 3.359219-1 5.888437+0 3.308675-1 5.956621+0 3.258892-1 6.025596+0 3.209858-1 6.095369+0 3.161564-1 6.165950+0 3.114004-1 6.237348+0 3.067170-1 6.382635+0 2.975666-1 6.456542+0 2.930974-1 6.531306+0 2.888105-1 6.606934+0 2.845869-1 6.760830+0 2.763276-1 6.839116+0 2.722884-1 7.000000+0 2.643349-1 7.079458+0 2.605581-1 7.161434+0 2.567615-1 7.244360+0 2.530201-1 7.328245+0 2.493335-1 7.413102+0 2.457012-1 7.498942+0 2.421226-1 7.673615+0 2.351260-1 7.762471+0 2.317064-1 7.852356+0 2.284279-1 7.943282+0 2.251962-1 8.128305+0 2.188723-1 8.222427+0 2.157772-1 8.413951+0 2.097372-1 8.511380+0 2.067809-1 8.609938+0 2.038663-1 8.709636+0 2.009927-1 8.810489+0 1.981602-1 8.912509+0 1.953677-1 9.015711+0 1.926150-1 9.332543+0 1.845924-1 9.440609+0 1.819947-1 9.660509+0 1.770154-1 9.772372+0 1.745773-1 1.011579+1 1.674652-1 1.023293+1 1.651594-1 1.071519+1 1.562725-1 1.083927+1 1.541264-1 1.100000+1 1.514256-1 1.109175+1 1.499224-1 1.122018+1 1.478642-1 1.135011+1 1.458345-1 1.148154+1 1.438342-1 1.161449+1 1.418628-1 1.174898+1 1.399702-1 1.216186+1 1.344458-1 1.230269+1 1.326531-1 1.318257+1 1.224154-1 1.333521+1 1.207878-1 1.348963+1 1.191816-1 1.364583+1 1.175969-1 1.380384+1 1.160334-1 1.462177+1 1.085231-1 1.479108+1 1.070804-1 1.500000+1 1.053499-1 1.513561+1 1.042550-1 1.531087+1 1.028711-1 1.548817+1 1.015418-1 1.566751+1 1.002299-1 1.584893+1 9.893863-2 1.600000+1 9.788718-2 1.603245+1 9.766410-2 1.905461+1 8.040634-2 1.949845+1 7.834856-2 1.995262+1 7.634457-2 2.000000+1 7.614119-2 2.018366+1 7.536243-2 2.041738+1 7.441280-2 2.065380+1 7.347753-2 2.089296+1 7.255434-2 2.540973+1 5.852119-2 2.600000+1 5.706373-2 2.660725+1 5.563572-2 2.691535+1 5.493735-2 2.722701+1 5.424778-2 2.754229+1 5.357960-2 2.786121+1 5.291967-2 2.800000+1 5.263803-2 2.818383+1 5.226941-2 2.851018+1 5.162737-2 3.427678+1 4.236395-2 3.548134+1 4.082191-2 3.630781+1 3.982562-2 3.715352+1 3.885409-2 3.758374+1 3.837725-2 3.845918+1 3.745599-2 3.890451+1 3.700370-2 3.935501+1 3.655773-2 3.981072+1 3.611722-2 4.000000+1 3.593730-2 4.027170+1 3.568206-2 5.069907+1 2.800008-2 5.248075+1 2.700011-2 5.370318+1 2.635366-2 5.495409+1 2.572293-2 5.559043+1 2.541326-2 5.688529+1 2.481418-2 5.754399+1 2.451996-2 5.821032+1 2.422979-2 5.888437+1 2.394308-2 5.956621+1 2.365978-2 7.852356+1 1.778059-2 8.317638+1 1.675326-2 8.609938+1 1.616575-2 8.912509+1 1.559900-2 9.015711+1 1.541454-2 9.332543+1 1.487985-2 9.440609+1 1.470577-2 9.549926+1 1.453393-2 9.660509+1 1.436413-2 9.772372+1 1.419632-2 9.885531+1 1.403047-2 1.000000+2 1.386656-2 1.500000+2 9.167166-3 1.584893+2 8.666264-3 1.640590+2 8.366141-3 1.698244+2 8.076480-3 1.717908+2 7.982177-3 1.778279+2 7.708131-3 1.798871+2 7.618887-3 1.819701+2 7.530765-3 1.840772+2 7.443670-3 1.862087+2 7.357587-3 1.905461+2 7.188397-3 2.985383+2 4.566878-3 3.162278+2 4.308850-3 3.273407+2 4.161107-3 3.388442+2 4.018449-3 3.427678+2 3.971993-3 3.548134+2 3.836530-3 3.589219+2 3.792410-3 3.630781+2 3.748823-3 3.672823+2 3.705740-3 3.715352+2 3.663153-3 3.801894+2 3.579443-3 5.956621+2 2.280573-3 1.258925+3 1.075866-3 1.303167+3 1.039202-3 1.348963+3 1.003791-3 1.364583+3 9.922572-4 1.412538+3 9.585411-4 1.428894+3 9.475593-4 1.445440+3 9.367065-4 1.462177+3 9.259787-4 1.479108+3 9.153737-4 1.513561+3 8.945267-4 4.731513+3 2.859835-4 1.000000+5 1.351034-5 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.300000-6 4.300000-6 5.460000-6 4.300000-6 5.460000-6 4.829769-6 7.413102-6 4.874584-6 1.035142-5 4.910248-6 1.236000-5 4.924667-6 1.236000-5 9.777469-6 1.428894-5 9.246333-6 1.603245-5 8.811008-6 1.798871-5 8.382262-6 2.001000-5 8.001897-6 2.001000-5 1.755803-5 2.162719-5 1.806690-5 2.240000-5 1.833424-5 2.240000-5 1.949714-5 2.520000-5 2.000951-5 2.754229-5 2.031033-5 3.090295-5 2.056025-5 3.770000-5 2.083023-5 4.500000-5 2.096870-5 6.683439-5 2.102126-5 7.796000-5 2.101664-5 7.796000-5 2.389368-5 8.035261-5 2.436704-5 8.330000-5 2.477268-5 8.730000-5 2.512622-5 9.440609-5 2.549738-5 9.903000-5 2.568257-5 9.903000-5 2.840000-5 1.012000-4 2.913205-5 1.032000-4 2.965093-5 1.059254-4 3.016680-5 1.100000-4 3.069114-5 1.161449-4 3.118353-5 1.281600-4 3.190013-5 1.281600-4 3.302307-5 1.310000-4 3.383659-5 1.329500-4 3.428619-5 1.329500-4 3.511791-5 1.353000-4 3.595543-5 1.382000-4 3.673812-5 1.391600-4 3.694932-5 1.391600-4 3.790084-5 1.450000-4 3.883499-5 1.600000-4 4.084025-5 1.720000-4 4.281906-5 1.840772-4 4.480551-5 1.930000-4 4.600466-5 2.020000-4 4.693209-5 2.137962-4 4.777528-5 2.280000-4 4.838914-5 2.483133-4 4.884475-5 2.851018-4 4.917475-5 3.600000-4 4.928932-5 3.851300-4 4.927939-5 3.851300-4 5.028852-5 4.063500-4 5.065565-5 4.063500-4 5.166250-5 4.188000-4 5.180488-5 4.550000-4 5.282197-5 6.003200-4 5.614614-5 6.003200-4 5.986308-5 6.918310-4 6.220688-5 7.139700-4 6.269675-5 7.139700-4 6.367997-5 8.314300-4 6.632127-5 8.314300-4 6.809948-5 9.772372-4 7.122762-5 1.150000-3 7.439107-5 1.364583-3 7.765177-5 1.584893-3 8.044804-5 1.883649-3 8.356407-5 2.238721-3 8.654904-5 2.393900-3 8.766834-5 2.393900-3 1.256546-4 2.493700-3 1.267031-4 2.493700-3 1.330224-4 2.650000-3 1.350495-4 2.770000-3 1.357157-4 2.944600-3 1.357496-4 2.944600-3 1.453074-4 3.409700-3 1.466000-4 3.409700-3 1.515496-4 3.678700-3 1.527562-4 3.678700-3 1.574434-4 4.731513-3 1.625591-4 6.237348-3 1.683513-4 8.035261-3 1.737222-4 1.023293-2 1.787888-4 1.266000-2 1.831346-4 1.266000-2 2.315307-4 1.474600-2 2.324855-4 1.474600-2 2.427963-4 1.533000-2 2.430826-4 1.533000-2 2.608545-4 2.089296-2 2.670482-4 2.851018-2 2.731921-4 3.981072-2 2.799239-4 5.432503-2 2.859856-4 7.413102-2 2.917916-4 8.579800-2 2.943541-4 8.579800-2 2.686474-4 2.187762-1 2.704103-4 6.165950-1 2.714500-4 1.000000+5 2.715887-4 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.300000-6 0.0 7.796000-5 0.0 7.796000-5 8.25139-11 7.852356-5 8.61306-11 7.920000-5 9.01445-11 8.000000-5 9.44688-11 8.080000-5 9.83130-11 8.150000-5 1.01343-10 8.230000-5 1.04447-10 8.330000-5 1.07876-10 8.450000-5 1.11541-10 8.570000-5 1.14671-10 8.730000-5 1.18169-10 8.912509-5 1.21555-10 9.150000-5 1.25278-10 9.549926-5 1.30499-10 9.903000-5 1.34759-10 9.903000-5 3.48355-10 9.965000-5 3.65265-10 1.002000-4 3.79236-10 1.007000-4 3.91193-10 1.012000-4 4.02281-10 1.018000-4 4.14676-10 1.025000-4 4.27913-10 1.032000-4 4.39838-10 1.040000-4 4.52069-10 1.047129-4 4.61880-10 1.059254-4 4.76222-10 1.071519-4 4.88576-10 1.085000-4 5.00303-10 1.100000-4 5.10872-10 1.115000-4 5.19546-10 1.140000-4 5.30655-10 1.161449-4 5.38603-10 1.190000-4 5.47361-10 1.281600-4 5.69144-10 1.281600-4 9.79844-10 1.282200-4 9.87072-10 1.289000-4 1.052914-9 1.296000-4 1.115785-9 1.305000-4 1.190278-9 1.316000-4 1.272055-9 1.328000-4 1.351471-9 1.329500-4 1.360390-9 1.329500-4 1.318515-9 1.340000-4 1.365777-9 1.353000-4 1.415328-9 1.364583-4 1.453747-9 1.380384-4 1.499288-9 1.391600-4 1.526668-9 1.391600-4 1.513321-9 1.414000-4 1.559490-9 1.462177-4 1.642274-9 1.500000-4 1.703947-9 1.540000-4 1.779450-9 1.560000-4 1.823690-9 1.584893-4 1.887185-9 1.603245-4 1.937928-9 1.627000-4 2.012044-9 1.660000-4 2.125527-9 1.705000-4 2.297691-9 1.820000-4 2.767785-9 1.865000-4 2.940628-9 1.905461-4 3.082533-9 1.950000-4 3.224231-9 2.000000-4 3.364002-9 2.051300-4 3.483048-9 2.113489-4 3.596105-9 2.162719-4 3.665765-9 2.220000-4 3.728550-9 2.300000-4 3.791791-9 2.400000-4 3.843111-9 2.520000-4 3.880557-9 2.691535-4 3.906925-9 2.951209-4 3.918383-9 3.715352-4 3.899057-9 3.851300-4 3.893002-9 3.851300-4 3.983486-9 4.027170-4 4.001351-9 4.063500-4 4.007459-9 4.063500-4 5.382902-9 4.084000-4 5.306786-9 4.100000-4 5.266794-9 4.130000-4 5.222741-9 4.158000-4 5.210237-9 4.188000-4 5.225248-9 4.225000-4 5.278951-9 4.350000-4 5.529506-9 4.530000-4 5.828442-9 4.680000-4 6.039348-9 4.954502-4 6.410004-9 5.450000-4 7.132376-9 6.003200-4 7.915770-9 6.003200-4 1.172212-8 6.760830-4 1.321180-8 7.139700-4 1.383989-8 7.139700-4 1.529236-8 8.000000-4 1.692320-8 8.314300-4 1.748471-8 8.314300-4 1.968880-8 9.015711-4 2.108616-8 9.772372-4 2.250727-8 1.083927-3 2.437105-8 1.190000-3 2.609243-8 1.333521-3 2.820149-8 1.500000-3 3.040911-8 1.678804-3 3.252619-8 1.883649-3 3.470139-8 2.150000-3 3.720460-8 2.393900-3 3.923196-8 2.393900-3 4.141812-8 2.493700-3 4.176064-8 2.493700-3 1.711376-5 2.517000-3 1.740504-5 2.517400-3 1.745382-5 2.585000-3 1.879788-5 2.630268-3 1.954325-5 2.670000-3 2.041309-5 2.700000-3 2.093629-5 2.740000-3 2.156456-5 2.770000-3 2.170845-5 2.851018-3 2.173781-5 2.944600-3 2.169583-5 2.944600-3 2.116911-5 3.409700-3 2.094475-5 3.409700-3 2.310691-5 3.507519-3 2.318393-5 3.678700-3 2.322820-5 3.678700-3 2.350578-5 4.365158-3 2.376482-5 5.688529-3 2.410913-5 8.035261-3 2.455124-5 1.122018-2 2.495210-5 1.266000-2 2.508913-5 1.266000-2 2.205819-3 1.274300-2 2.211507-3 1.290000-2 2.206625-3 1.474600-2 2.194956-3 1.474600-2 3.116636-3 1.533000-2 3.126345-3 1.533000-2 3.256444-3 1.972423-2 3.291211-3 2.917427-2 3.317635-3 4.677351-2 3.328439-3 8.579800-2 3.323868-3 8.579800-2 6.058162-2 1.011580-1 6.104049-2 1.303167-1 6.157469-2 1.883649-1 6.206122-2 3.311311-1 6.246743-2 8.413951-1 6.306235-2 1.462177+0 6.313176-2 1.000000+5 6.312953-2 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.300000-6 0.0 5.460000-6 1.160000-6 5.460000-6 6.302306-7 6.200000-6 1.349992-6 7.413102-6 2.538518-6 1.035142-5 5.441172-6 1.236000-5 7.435333-6 1.236000-5 2.582531-6 1.350000-5 4.041835-6 1.428894-5 5.042607-6 1.603245-5 7.221442-6 1.798871-5 9.606448-6 2.001000-5 1.200810-5 2.001000-5 2.451965-6 2.030000-5 2.661736-6 2.065380-5 2.909561-6 2.130000-5 3.345020-6 2.240000-5 4.065765-6 2.240000-5 2.902864-6 2.426610-5 4.413778-6 2.520000-5 5.190494-6 2.630268-5 6.134220-6 2.754229-5 7.231957-6 2.917427-5 8.723713-6 3.198895-5 1.137257-5 3.770000-5 1.686977-5 4.500000-5 2.403130-5 7.796000-5 5.694336-5 7.796000-5 5.406623-5 8.150000-5 5.695303-5 8.730000-5 6.217366-5 9.903000-5 7.334729-5 9.903000-5 7.062965-5 1.025000-4 7.301448-5 1.075000-4 7.710274-5 1.161449-4 8.496083-5 1.281600-4 9.625929-5 1.281600-4 9.513595-5 1.329500-4 9.866244-5 1.329500-4 9.783077-5 1.375000-4 1.009288-4 1.391600-4 1.022091-4 1.391600-4 1.012576-4 1.531087-4 1.132211-4 1.705000-4 1.279398-4 1.905461-4 1.448396-4 2.100000-4 1.624514-4 2.400000-4 1.912989-4 3.430000-4 2.937067-4 3.851300-4 3.358467-4 3.851300-4 3.348375-4 4.063500-4 3.556903-4 4.063500-4 3.546821-4 6.003200-4 5.441659-4 6.003200-4 5.404452-4 7.139700-4 6.512594-4 7.139700-4 6.502747-4 8.314300-4 7.650912-4 8.314300-4 7.633108-4 1.570000-3 1.489695-3 2.393900-3 2.306192-3 2.393900-3 2.268204-3 2.493700-3 2.366955-3 2.493700-3 2.343564-3 2.884032-3 2.726562-3 2.944600-3 2.787155-3 2.944600-3 2.778123-3 3.409700-3 3.242155-3 3.409700-3 3.235043-3 3.678700-3 3.502716-3 3.678700-3 3.497751-3 1.266000-2 1.245178-2 1.266000-2 1.022265-2 1.474600-2 1.231856-2 1.474600-2 1.138657-2 1.533000-2 1.196057-2 1.533000-2 1.181270-2 2.884032-2 2.524977-2 8.579800-2 8.217978-2 8.579800-2 2.494774-2 9.015711-2 2.913997-2 1.000000-1 3.871273-2 1.288250-1 6.699985-2 2.065380-1 1.441245-1 1.927525+0 1.864127+0 1.000000+5 9.999993+4 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 8.579800-2 2.028862+3 8.830000-2 1.887214+3 8.950000-2 1.829712+3 9.150000-2 1.724402+3 9.549926-2 1.553492+3 1.047129-1 1.223259+3 1.190000-1 8.828020+2 1.548817-1 4.424943+2 2.317395-1 1.528959+2 2.818383-1 9.179350+1 3.273407-1 6.255504+1 3.801894-1 4.293739+1 4.365158-1 3.056689+1 4.954502-1 2.256306+1 5.623413-1 1.678465+1 6.309573-1 1.291669+1 7.079458-1 1.001948+1 8.035261-1 7.637210+0 9.225714-1 5.725217+0 1.022000+0 4.653966+0 1.174898+0 3.537898+0 1.318257+0 2.838858+0 1.496236+0 2.245604+0 1.698244+0 1.791715+0 1.949845+0 1.411860+0 2.213095+0 1.142505+0 2.511886+0 9.313556-1 2.884032+0 7.509568-1 3.349654+0 5.992683-1 3.890451+0 4.818153-1 4.570882+0 3.839370-1 5.370318+0 3.082606-1 6.456542+0 2.418182-1 7.762471+0 1.911678-1 9.440609+0 1.501541-1 1.161449+1 1.170449-1 1.531087+1 8.487588-2 2.018366+1 6.218250-2 2.722701+1 4.475984-2 3.758374+1 3.166480-2 5.559043+1 2.096842-2 9.015711+1 1.271842-2 1.717908+2 6.586132-3 3.427678+2 3.277375-3 1.364583+3 8.187414-4 1.000000+5 1.114800-5 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 8.579800-2 2.618100-4 1.000000+5 2.618100-4 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.579800-2 7.581100-2 1.000000+5 7.581100-2 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.579800-2 9.725190-3 1.000000+5 9.999992+4 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.533000-2 7.311979+3 1.610000-2 6.746920+3 1.647000-2 6.472660+3 1.717908-2 6.044287+3 1.883649-2 5.115826+3 2.018366-2 4.533872+3 2.162719-2 3.991073+3 2.454709-2 3.136827+3 3.090295-2 1.984120+3 3.507519-2 1.525016+3 3.981072-2 1.167644+3 4.800000-2 7.763980+2 5.623413-2 5.439898+2 6.382635-2 4.068169+2 7.413102-2 2.867344+2 8.709636-2 1.952505+2 1.035142-1 1.283804+2 1.244515-1 8.148966+1 1.603245-1 4.323769+1 2.570396-1 1.315282+1 3.198895-1 7.628391+0 3.801894-1 4.997145+0 4.415705-1 3.487667+0 5.069907-1 2.521868+0 5.821032-1 1.837247+0 6.606935-1 1.384058+0 7.498942-1 1.050160+0 8.413951-1 8.226523-1 9.440609-1 6.489693-1 1.071519+0 5.040395-1 1.230269+0 3.850978-1 1.396368+0 3.032511-1 1.566751+0 2.457833-1 1.778279+0 1.966368-1 2.044000+0 1.550499-1 2.317395+0 1.260476-1 2.630268+0 1.030118-1 3.019952+0 8.325903-2 3.507519+0 6.659272-2 4.073803+0 5.366062-2 4.786301+0 4.285451-2 5.688529+0 3.395474-2 6.839116+0 2.670159-2 8.222427+0 2.115958-2 1.023293+1 1.619629-2 1.230269+1 1.300882-2 1.566751+1 9.834318-3 2.041738+1 7.301500-3 2.786121+1 5.191826-3 3.890451+1 3.630309-3 5.754399+1 2.405598-3 9.440609+1 1.442873-3 1.798871+2 7.475521-4 3.589219+2 3.721146-4 1.428894+3 9.298298-5 1.000000+5 1.325800-6 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.533000-2 3.749800-4 1.000000+5 3.749800-4 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.533000-2 4.091900-3 1.000000+5 4.091900-3 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.533000-2 1.086312-2 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.474600-2 1.460000+4 1.487000-2 1.439436+4 1.548817-2 1.307900+4 1.698244-2 1.034900+4 1.972423-2 7.034500+3 2.187762-2 5.337700+3 2.786121-2 2.766100+3 3.235937-2 1.819900+3 3.650000-2 1.296100+3 4.518559-2 7.023900+2 5.623413-2 3.711500+2 7.000000-2 1.944700+2 9.440609-2 7.980700+1 1.479108-1 2.088631+1 1.862087-1 1.057434+1 2.264644-1 5.972632+0 2.660725-1 3.758079+0 3.090295-1 2.462203+0 3.548134-1 1.678817+0 4.027170-1 1.190191+0 4.570882-1 8.501768-1 5.128614-1 6.306812-1 5.754399-1 4.713376-1 6.382635-1 3.651378-1 7.079458-1 2.851347-1 7.943282-1 2.183156-1 9.120108-1 1.599204-1 9.772372-1 1.374135-1 1.047129+0 1.189884-1 1.148154+0 9.893791-2 1.258925+0 8.286568-2 1.396368+0 6.845106-2 1.678804+0 4.927227-2 1.927525+0 3.878486-2 2.187762+0 3.136768-2 2.483133+0 2.555750-2 2.851018+0 2.059703-2 3.311311+0 1.642790-2 3.845918+0 1.320050-2 4.518559+0 1.051305-2 5.308844+0 8.436463-3 6.382635+0 6.614721-3 7.673615+0 5.226699-3 9.332543+0 4.103484-3 1.148154+1 3.197533-3 1.500000+1 2.341500-3 1.995262+1 1.697372-3 2.660725+1 1.236871-3 3.630781+1 8.852360-4 5.370318+1 5.858126-4 8.609938+1 3.593607-4 1.640590+2 1.859816-4 3.273407+2 9.251593-5 1.303167+3 2.310527-5 1.000000+5 3.004100-7 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.474600-2 2.691400-4 1.000000+5 2.691400-4 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.474600-2 5.471500-3 1.000000+5 5.471500-3 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.474600-2 9.005360-3 1.000000+5 9.999999+4 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.266000-2 3.384603+4 1.274300-2 3.348963+4 1.290000-2 3.224704+4 1.318257-2 3.047592+4 1.445440-2 2.367927+4 1.698244-2 1.511701+4 1.900000-2 1.097168+4 2.426610-2 5.379168+3 3.090295-2 2.607423+3 3.845918-2 1.334911+3 4.731513-2 7.002641+2 5.821032-2 3.640153+2 7.328245-2 1.744684+2 1.000000-1 6.403120+1 1.445440-1 1.946499+1 1.819701-1 9.300667+0 2.162719-1 5.383493+0 2.511886-1 3.376049+0 2.884032-1 2.210447+0 3.273407-1 1.510258+0 3.672823-1 1.075668+0 4.120975-1 7.718984-1 4.570882-1 5.765472-1 5.069907-1 4.336486-1 5.623413-1 3.286573-1 6.237348-1 2.509645-1 6.918310-1 1.931217-1 7.673615-1 1.497851-1 8.511380-1 1.171010-1 9.440609-1 9.213226-2 1.000000+0 8.114203-2 1.071519+0 7.021481-2 1.161449+0 5.977230-2 1.258925+0 5.124249-2 1.396368+0 4.238632-2 1.737801+0 2.875486-2 1.995262+0 2.267059-2 2.264644+0 1.837014-2 2.570396+0 1.499441-2 2.951209+0 1.210507-2 3.427678+0 9.670653-3 4.000000+0 7.731400-3 4.677351+0 6.209556-3 5.495409+0 4.990739-3 6.606934+0 3.918868-3 7.943282+0 3.101037-3 9.772372+0 2.403979-3 1.174898+1 1.927877-3 1.531087+1 1.417123-3 2.018366+1 1.038191-3 2.722701+1 7.473173-4 3.758374+1 5.286811-4 5.559043+1 3.500914-4 9.015711+1 2.123530-4 1.717908+2 1.099642-4 3.427678+2 5.471872-5 1.364583+3 1.366919-5 1.000000+5 1.861200-7 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.266000-2 2.633300-4 1.000000+5 2.633300-4 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.266000-2 3.638700-3 1.000000+5 3.638700-3 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.266000-2 8.757970-3 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 3.678700-3 2.033724+4 3.981072-3 1.857633+4 4.230000-3 1.708622+4 4.580000-3 1.537530+4 4.841724-3 1.417430+4 6.165950-3 9.847461+3 6.606934-3 8.809373+3 8.035261-3 6.365848+3 8.912509-3 5.316754+3 1.047129-2 3.993029+3 1.244515-2 2.903274+3 1.400000-2 2.322920+3 1.640590-2 1.708661+3 1.972423-2 1.183883+3 2.344229-2 8.315862+2 2.800000-2 5.730200+2 3.311311-2 3.998612+2 3.890451-2 2.808860+2 4.570882-2 1.958986+2 5.432503-2 1.321276+2 6.456542-2 8.840624+1 7.673615-2 5.871683+1 9.015711-2 3.982294+1 1.109175-1 2.395638+1 1.428894-1 1.276272+1 2.818383-1 2.321595+0 3.427678-1 1.431690+0 4.027170-1 9.682297-1 4.677351-1 6.782432-1 5.308844-1 5.051719-1 6.025596-1 3.787705-1 6.839117-1 2.860492-1 7.762471-1 2.176010-1 8.810489-1 1.666780-1 9.885531-1 1.317820-1 1.148154+0 9.805855-2 1.303167+0 7.688943-2 1.479108+0 6.076589-2 1.659587+0 4.943510-2 1.905461+0 3.890518-2 2.162719+0 3.144523-2 2.454709+0 2.560088-2 2.818383+0 2.061553-2 3.273407+0 1.643198-2 3.801894+0 1.319620-2 4.466836+0 1.050391-2 5.248075+0 8.424864-3 6.237348+0 6.702074-3 7.498942+0 5.290666-3 9.015711+0 4.208705-3 1.135011+1 3.187169-3 1.479108+1 2.339970-3 1.949845+1 1.712362-3 2.600000+1 1.247200-3 3.548134+1 8.921074-4 5.248075+1 5.900444-4 8.317638+1 3.661271-4 1.584893+2 1.893998-4 3.162278+2 9.419095-5 1.258925+3 2.351954-5 1.000000+5 2.953900-7 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 3.678700-3 2.675900-4 1.000000+5 2.675900-4 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.678700-3 3.002900-5 1.000000+5 3.002900-5 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.678700-3 3.381081-3 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 3.409700-3 3.268232+4 3.484000-3 3.250681+4 3.850000-3 2.892120+4 4.080000-3 2.691360+4 4.350000-3 2.465640+4 4.897788-3 2.072606+4 5.248075-3 1.865937+4 5.559043-3 1.703337+4 5.956621-3 1.519038+4 7.161434-3 1.095330+4 7.673615-3 9.626732+3 8.912509-3 7.186898+3 9.660509-3 6.107063+3 1.109175-2 4.570918+3 1.216186-2 3.747168+3 1.412538-2 2.684352+3 1.584893-2 2.059350+3 1.778279-2 1.570774+3 2.065380-2 1.093730+3 2.371374-2 7.760860+2 2.691535-2 5.627489+2 3.054921-2 4.055540+2 3.507519-2 2.818214+2 4.073803-2 1.886022+2 4.800000-2 1.204698+2 5.688529-2 7.515674+1 6.839116-2 4.469967+1 8.511380-2 2.391994+1 1.109175-1 1.113075+1 1.737801-1 3.027174+0 2.187762-1 1.562659+0 2.630268-1 9.272945-1 3.090295-1 5.917402-1 3.548134-1 4.053914-1 4.027170-1 2.884949-1 4.570882-1 2.067711-1 5.128614-1 1.537883-1 5.754399-1 1.151857-1 6.382635-1 8.938717-2 7.079458-1 6.982385-2 7.852356-1 5.491186-2 8.709636-1 4.341438-2 9.440609-1 3.639327-2 1.023293+0 3.073098-2 1.122018+0 2.553360-2 1.244515+0 2.089877-2 1.380384+0 1.723122-2 1.621810+0 1.289283-2 1.862087+0 1.013076-2 2.113489+0 8.177447-3 2.398833+0 6.649337-3 2.754229+0 5.348130-3 3.198895+0 4.258217-3 3.715352+0 3.415831-3 4.365158+0 2.715771-3 5.128614+0 2.175892-3 6.095369+0 1.729352-3 7.328245+0 1.363827-3 8.709636+0 1.099344-3 1.109175+1 8.201063-4 1.364583+1 6.433800-4 1.600000+1 5.357100-4 2.065380+1 4.021274-4 2.818383+1 2.860241-4 3.935501+1 2.000564-4 5.821032+1 1.325930-4 9.660509+1 7.860791-5 1.840772+2 4.073863-5 3.672823+2 2.028227-5 1.462177+3 5.068528-6 1.000000+5 7.395800-8 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 3.409700-3 2.333700-4 1.000000+5 2.333700-4 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.409700-3 5.884900-5 1.000000+5 5.884900-5 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.409700-3 3.117481-3 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 2.944600-3 1.063385+5 3.030000-3 1.022465+5 3.507519-3 8.094214+4 3.720000-3 7.330400+4 4.415704-3 5.408109+4 4.731513-3 4.766596+4 5.069907-3 4.183330+4 6.165950-3 2.831465+4 6.683439-3 2.394527+4 7.852356-3 1.692886+4 8.609938-3 1.379009+4 9.885531-3 1.005589+4 1.096478-2 7.877212+3 1.244515-2 5.807114+3 1.428894-2 4.123495+3 1.603245-2 3.078293+3 1.819701-2 2.216763+3 2.089296-2 1.536394+3 2.426610-2 1.023244+3 2.818383-2 6.753225+2 3.300000-2 4.317200+2 3.845918-2 2.772498+2 4.466836-2 1.784479+2 5.248075-2 1.101780+2 6.237348-2 6.518881+1 7.500000-2 3.693860+1 9.332543-2 1.868080+1 1.778279-1 2.454244+0 2.187762-1 1.287536+0 2.570396-1 7.851110-1 2.951209-1 5.173919-1 3.349654-1 3.554611-1 3.758374-1 2.543614-1 4.216965-1 1.833197-1 4.677351-1 1.374322-1 5.188000-1 1.037285-1 5.754399-1 7.885265-2 6.309573-1 6.219926-2 6.998420-1 4.798384-2 7.762471-1 3.729127-2 8.709636-1 2.829182-2 9.332543-1 2.412414-2 9.885531-1 2.125137-2 1.071519+0 1.796551-2 1.161449+0 1.529555-2 1.258925+0 1.310477-2 1.396368+0 1.083506-2 1.717908+0 7.496838-3 1.972423+0 5.907229-3 2.238721+0 4.783509-3 2.540973+0 3.901935-3 2.917427+0 3.147992-3 3.388442+0 2.513551-3 3.935501+0 2.022073-3 4.623810+0 1.612194-3 5.432503+0 1.295042-3 6.531306+0 1.016416-3 7.852356+0 8.039195-4 9.660509+0 6.229426-4 1.174898+1 4.926453-4 1.548817+1 3.574138-4 2.041738+1 2.619260-4 2.786121+1 1.862512-4 3.890451+1 1.302281-4 5.754399+1 8.629696-5 9.549926+1 5.115144-5 1.819701+2 2.650625-5 3.630781+2 1.319454-5 1.445440+3 3.297347-6 1.000000+5 4.756100-8 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 2.944600-3 2.051000-4 1.000000+5 2.051000-4 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.944600-3 1.787400-5 1.000000+5 1.787400-5 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 2.944600-3 2.721626-3 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.493700-3 2.104397+5 2.517000-3 2.123124+5 2.517400-3 2.130553+5 2.585000-3 2.265947+5 2.670000-3 2.389554+5 2.700000-3 2.410796+5 2.740000-3 2.426018+5 2.754229-3 2.408932+5 2.770000-3 2.383627+5 2.839300-3 2.245797+5 3.090295-3 1.803909+5 3.467369-3 1.327390+5 3.845918-3 9.992617+4 4.265795-3 7.465156+4 4.731513-3 5.536017+4 5.248075-3 4.082360+4 6.309573-3 2.335370+4 6.918310-3 1.754760+4 8.128305-3 1.054511+4 9.332543-3 6.741519+3 1.035142-2 4.796970+3 1.202264-2 2.907863+3 1.380384-2 1.815877+3 1.548817-2 1.219543+3 1.778279-2 7.513656+2 2.065380-2 4.411146+2 2.400000-2 2.565692+2 2.818383-2 1.425403+2 3.311311-2 7.848337+1 3.981072-2 3.937300+1 4.897788-2 1.797074+1 6.382635-2 6.538023+0 1.071519-1 8.981265-1 1.333521-1 3.910741-1 1.621810-1 1.872500-1 1.883649-1 1.073382-1 2.162719-1 6.469569-2 2.454709-1 4.098009-2 2.754229-1 2.725165-2 3.162278-1 1.683268-2 3.548134-1 1.135055-2 3.935501-1 8.015874-3 4.365158-1 5.700971-3 4.841724-1 4.084785-3 5.370318-1 2.949025-3 5.888437-1 2.223618-3 6.382635-1 1.750052-3 6.998420-1 1.341505-3 7.673615-1 1.035716-3 8.035261-1 9.117369-4 8.609938-1 7.501449-4 9.120108-1 6.416001-4 9.549926-1 5.693715-4 1.000000+0 5.083884-4 1.047129+0 4.571884-4 1.096478+0 4.140008-4 1.161449+0 3.687083-4 1.230269+0 3.307474-4 1.333521+0 2.860721-4 1.479108+0 2.394247-4 1.883649+0 1.567247-4 2.113489+0 1.289728-4 2.398833+0 1.048666-4 2.754229+0 8.433329-5 3.198895+0 6.713904-5 3.715352+0 5.385686-5 4.315191+0 4.351586-5 5.069907+0 3.484710-5 6.025596+0 2.768080-5 7.244360+0 2.181972-5 8.709636+0 1.733366-5 1.109175+1 1.293049-5 1.364583+1 1.014429-5 1.600000+1 8.446700-6 2.065380+1 6.340377-6 2.818383+1 4.509710-6 3.981072+1 3.116023-6 5.821032+1 2.090625-6 9.772372+1 1.224869-6 1.840772+2 6.423333-7 3.672823+2 3.197894-7 1.462177+3 7.991688-8 1.000000+5 1.166100-9 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.493700-3 1.527900-4 1.000000+5 1.527900-4 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.493700-3 7.051700-5 1.000000+5 7.051700-5 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.493700-3 2.270393-3 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.393900-3 4.202053+5 2.630268-3 3.840024+5 2.722701-3 3.521077+5 3.000000-3 2.727552+5 3.349654-3 2.022967+5 3.715352-3 1.515828+5 4.150000-3 1.104780+5 4.518559-3 8.608127+4 5.069907-3 6.113661+4 5.888437-3 3.860180+4 6.456542-3 2.897684+4 7.585776-3 1.731262+4 8.413951-3 1.235360+4 9.660509-3 7.815763+3 1.096478-2 5.095027+3 1.230269-2 3.431943+3 1.400000-2 2.187132+3 1.603245-2 1.353040+3 1.862087-2 7.894128+2 2.162719-2 4.566810+2 2.511886-2 2.621154+2 2.951209-2 1.429621+2 3.467369-2 7.737266+1 4.168694-2 3.804263+1 5.069907-2 1.775447+1 6.683439-2 5.988707+0 1.047129-1 1.019618+0 1.288250-1 4.531709-1 1.531088-1 2.322279-1 1.757924-1 1.368689-1 2.000000-1 8.414202-2 2.238721-1 5.541245-2 2.511886-1 3.644563-2 2.786121-1 2.517301-2 3.090295-1 1.751099-2 3.427678-1 1.227370-2 3.758374-1 9.012314-3 4.120975-1 6.664839-3 4.518559-1 4.966163-3 4.954502-1 3.729094-3 5.370318-1 2.921886-3 5.888437-1 2.227592-3 6.456542-1 1.710625-3 6.998420-1 1.366596-3 7.585776-1 1.099081-3 8.511380-1 8.126001-4 9.015711-1 7.029708-4 9.549926-1 6.122756-4 1.000000+0 5.513682-4 1.059254+0 4.871825-4 1.135011+0 4.232157-4 1.216186+0 3.702459-4 1.333521+0 3.123095-4 1.737801+0 1.954478-4 1.972423+0 1.571016-4 2.238721+0 1.272373-4 2.540973+0 1.037945-4 2.917427+0 8.373869-5 3.388442+0 6.686063-5 3.935501+0 5.378651-5 4.623810+0 4.288509-5 5.432503+0 3.444933-5 6.531306+0 2.703753-5 7.852356+0 2.138440-5 9.660509+0 1.657006-5 1.174898+1 1.310487-5 1.531087+1 9.632553-6 2.018366+1 7.057080-6 2.722701+1 5.079775-6 3.758374+1 3.593598-6 5.559043+1 2.379735-6 9.015711+1 1.443423-6 1.717908+2 7.474588-7 3.427678+2 3.719460-7 1.364583+3 9.291827-8 1.000000+5 1.265100-9 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.393900-3 1.508300-4 1.000000+5 1.508300-4 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.393900-3 4.286700-8 1.000000+5 4.286700-8 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.393900-3 2.243027-3 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 8.314300-4 4.679285+4 8.820000-4 4.527140+4 9.120108-4 4.380579+4 9.600000-4 4.218580+4 1.110000-3 3.683460+4 1.190000-3 3.440120+4 1.479108-3 2.676752+4 1.603245-3 2.420535+4 1.905461-3 1.926181+4 2.089296-3 1.695239+4 2.454709-3 1.341813+4 2.754229-3 1.127916+4 3.198895-3 8.935631+3 3.758374-3 6.886557+3 4.315191-3 5.471596+3 5.011872-3 4.237876+3 5.956621-3 3.129431+3 7.079458-3 2.292335+3 8.413951-3 1.666137+3 1.000000-2 1.202412+3 1.188502-2 8.618479+2 1.428894-2 5.996883+2 1.717908-2 4.140000+2 2.041738-2 2.904000+2 2.426610-2 2.022338+2 2.917427-2 1.363722+2 3.467369-2 9.355489+1 4.120975-2 6.371147+1 4.897788-2 4.307003+1 5.821032-2 2.889054+1 7.000000-2 1.871722+1 8.511380-2 1.172270+1 1.035142-1 7.266286+0 1.333521-1 3.878020+0 2.722701-1 6.478504-1 3.311311-1 3.990514-1 3.935501-1 2.621284-1 4.570882-1 1.835025-1 5.248075-1 1.329527-1 6.000000-1 9.798910-2 6.839117-1 7.329822-2 7.762471-1 5.575401-2 8.810489-1 4.270240-2 9.772372-1 3.455248-2 1.135011+0 2.569505-2 1.288250+0 2.013274-2 1.462177+0 1.589980-2 1.640590+0 1.292555-2 1.862087+0 1.036798-2 2.137962+0 8.211359-3 2.426610+0 6.680821-3 2.786121+0 5.376379-3 3.235937+0 4.282900-3 3.758374+0 3.437605-3 4.415704+0 2.734701-3 5.188000+0 2.192257-3 6.165950+0 1.743129-3 7.413102+0 1.375368-3 8.912509+0 1.093609-3 1.122018+1 8.277974-4 1.380384+1 6.496657-4 1.603245+1 5.469307-4 2.065380+1 4.114869-4 2.818383+1 2.926867-4 3.935501+1 2.047165-4 5.754399+1 1.373138-4 9.549926+1 8.139380-5 1.819701+2 4.217654-5 3.630781+2 2.099621-5 1.445440+3 5.246772-6 1.000000+5 7.568000-8 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 8.314300-4 1.559100-4 1.000000+5 1.559100-4 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 8.314300-4 1.285300-7 1.000000+5 1.285300-7 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 8.314300-4 6.753915-4 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 7.139700-4 3.981242+4 8.000000-4 3.975266+4 9.225714-4 3.870901+4 9.772372-4 3.799914+4 1.047129-3 3.689529+4 1.135011-3 3.540829+4 1.244515-3 3.347693+4 1.333521-3 3.187326+4 1.428894-3 3.011106+4 1.584893-3 2.739947+4 1.717908-3 2.529464+4 1.862087-3 2.316896+4 2.070000-3 2.048280+4 2.264644-3 1.831853+4 2.511886-3 1.596800+4 2.754229-3 1.405456+4 3.054921-3 1.207746+4 3.400000-3 1.025778+4 3.801894-3 8.579753+3 4.216965-3 7.224623+3 4.731513-3 5.923265+3 5.308844-3 4.821418+3 6.000000-3 3.844220+3 6.800000-3 3.024880+3 7.673615-3 2.382208+3 8.709636-3 1.840928+3 9.885531-3 1.411974+3 1.122018-2 1.075091+3 1.273503-2 8.126919+2 1.445440-2 6.100151+2 1.640590-2 4.547373+2 1.862087-2 3.366739+2 2.142010-2 2.395700+2 2.454709-2 1.707335+2 2.818383-2 1.202678+2 3.235937-2 8.413147+1 3.758374-2 5.670165+1 4.415704-2 3.677796+1 5.188000-2 2.367486+1 6.165950-2 1.465707+1 7.498942-2 8.444340+0 9.440609-2 4.377128+0 1.927525-1 5.594701-1 2.540973-1 2.560539-1 3.000060-1 1.612293-1 3.467369-1 1.084609-1 3.981072-1 7.483415-2 4.518559-1 5.363988-2 5.128614-1 3.874316-2 5.754399-1 2.903413-2 6.382635-1 2.254391-2 7.079458-1 1.761984-2 7.852356-1 1.386169-2 8.709636-1 1.095599-2 9.440609-1 9.180695-3 1.023293+0 7.749908-3 1.122018+0 6.438033-3 1.230269+0 5.385732-3 1.364583+0 4.437604-3 1.584893+0 3.387026-3 1.819701+0 2.657892-3 2.089296+0 2.101918-3 2.371374+0 1.707926-3 2.722701+0 1.372649-3 3.162278+0 1.092181-3 3.672823+0 8.756333-4 4.315191+0 6.957975-4 5.069907+0 5.571803-4 6.025596+0 4.425989-4 7.244360+0 3.488904-4 8.709636+0 2.771492-4 1.109175+1 2.067551-4 1.364583+1 1.622012-4 1.584893+1 1.365129-4 2.065380+1 1.013799-4 2.818383+1 7.210781-5 3.981072+1 4.982276-5 5.888437+1 3.302954-5 9.885531+1 1.935499-5 1.862087+2 1.015135-5 3.715352+2 5.054308-6 1.479108+3 1.263222-6 1.000000+5 1.864500-8 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 7.139700-4 1.361100-4 1.000000+5 1.361100-4 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 7.139700-4 1.222900-7 1.000000+5 1.222900-7 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 7.139700-4 5.777377-4 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 6.003200-4 2.053951+5 6.700000-4 1.989800+5 6.850000-4 1.962568+5 7.350000-4 1.849076+5 7.673615-4 1.788856+5 8.222426-4 1.681246+5 9.200000-4 1.505856+5 1.023293-3 1.345402+5 1.110000-3 1.228216+5 1.202264-3 1.115064+5 1.364583-3 9.478232+4 1.500000-3 8.341400+4 1.678804-3 7.099295+4 1.883649-3 5.980946+4 2.137962-3 4.904176+4 2.371374-3 4.144482+4 2.691535-3 3.345771+4 3.000000-3 2.767228+4 3.427678-3 2.174056+4 3.890451-3 1.713936+4 4.365158-3 1.371640+4 4.954502-3 1.065780+4 5.688529-3 8.021859+3 6.531306-3 5.984486+3 7.500000-3 4.424000+3 8.609938-3 3.244338+3 9.885531-3 2.358676+3 1.135011-2 1.700290+3 1.288250-2 1.250354+3 1.462177-2 9.131636+2 1.659587-2 6.623191+2 1.883649-2 4.770222+2 2.137962-2 3.413062+2 2.454709-2 2.350767+2 2.818383-2 1.606871+2 3.235937-2 1.090423+2 3.758374-2 7.108678+1 4.365158-2 4.598821+1 5.069907-2 2.953848+1 6.000000-2 1.780748+1 7.161434-2 1.038336+1 8.810489-2 5.473981+0 1.148154-1 2.393729+0 1.798871-1 5.856622-1 2.000000-1 4.211360-1 2.264644-1 2.792476-1 2.426610-1 2.237260-1 2.570396-1 1.873435-1 2.691535-1 1.635840-1 2.818383-1 1.438274-1 2.917427-1 1.312763-1 3.000060-1 1.223776-1 3.388442-1 8.543990-2 3.801894-1 6.122332-2 4.265795-1 4.418290-2 4.731513-1 3.316106-2 5.248075-1 2.505750-2 5.821032-1 1.906994-2 6.456542-1 1.462440-2 7.161434-1 1.130150-2 7.943282-1 8.799491-3 8.709636-1 7.060732-3 9.332543-1 6.025190-3 9.885531-1 5.310451-3 1.071519+0 4.491327-3 1.161449+0 3.824456-3 1.258925+0 3.276563-3 1.396368+0 2.708542-3 1.698244+0 1.911849-3 1.949845+0 1.505631-3 2.213095+0 1.218543-3 2.511886+0 9.934111-4 2.884032+0 8.009962-4 3.349654+0 6.392001-4 3.890451+0 5.139236-4 4.570882+0 4.095304-4 5.370318+0 3.288061-4 6.456542+0 2.579293-4 7.762471+0 2.039086-4 9.440609+0 1.601609-4 1.161449+1 1.248488-4 1.513561+1 9.172899-5 2.000000+1 6.700500-5 2.691535+1 4.834514-5 3.715352+1 3.419084-5 5.495409+1 2.263624-5 8.912509+1 1.372812-5 1.698244+2 7.107641-6 3.388442+2 3.536587-6 1.348963+3 8.834363-7 1.000000+5 1.189100-8 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 6.003200-4 1.245900-4 1.000000+5 1.245900-4 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 6.003200-4 7.800600-8 1.000000+5 7.800600-8 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 6.003200-4 4.756520-4 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 4.063500-4 1.228164+5 4.070000-4 1.200412+5 4.084000-4 1.152588+5 4.097000-4 1.117776+5 4.113000-4 1.085640+5 4.128000-4 1.063696+5 4.143000-4 1.049192+5 4.158000-4 1.041488+5 4.173000-4 1.040256+5 4.188000-4 1.045436+5 4.203000-4 1.056660+5 4.225000-4 1.082216+5 4.285000-4 1.173588+5 4.315191-4 1.217033+5 4.350000-4 1.262424+5 4.400000-4 1.321920+5 4.466836-4 1.394862+5 4.530000-4 1.456604+5 4.600000-4 1.515664+5 4.680000-4 1.573224+5 5.011872-4 1.787247+5 5.150000-4 1.874144+5 5.300000-4 1.956284+5 5.450000-4 2.027104+5 5.650000-4 2.108796+5 5.900000-4 2.195016+5 6.100000-4 2.250160+5 6.312300-4 2.293501+5 6.531306-4 2.324099+5 6.760830-4 2.343994+5 7.080000-4 2.352640+5 7.413102-4 2.342047+5 7.762471-4 2.316065+5 8.128305-4 2.273853+5 8.511380-4 2.218365+5 9.015711-4 2.136443+5 9.549926-4 2.042829+5 1.011579-3 1.937761+5 1.071519-3 1.824939+5 1.150000-3 1.682896+5 1.226800-3 1.551632+5 1.318257-3 1.405888+5 1.428894-3 1.247982+5 1.531087-3 1.119818+5 1.650000-3 9.885760+4 1.800000-3 8.484760+4 1.950000-3 7.319240+4 2.137962-3 6.123531+4 2.317395-3 5.203706+4 2.540973-3 4.286612+4 2.786121-3 3.504896+4 3.054921-3 2.844242+4 3.349654-3 2.292124+4 3.672823-3 1.834354+4 4.027170-3 1.458750+4 4.500000-3 1.097404+4 5.000000-3 8.307160+3 5.500000-3 6.416200+3 6.095369-3 4.824257+3 6.839116-3 3.476699+3 7.673615-3 2.485024+3 8.609938-3 1.762243+3 9.660509-3 1.240126+3 1.083927-2 8.663500+2 1.216186-2 6.008983+2 1.380384-2 3.986202+2 1.548817-2 2.726139+2 1.757924-2 1.781207+2 2.000000-2 1.145864+2 2.290868-2 7.147400+1 2.630268-2 4.388539+1 3.054921-2 2.567032+1 3.589219-2 1.429007+1 4.265795-2 7.567587+0 5.128614-2 3.811742+0 6.456542-2 1.603407+0 1.174898-1 1.664308-1 1.717908-1 4.005732-2 1.883649-1 2.855155-2 2.317395-1 1.350728-2 2.630268-1 8.608065-3 2.985383-1 5.527006-3 3.349654-1 3.719145-3 3.715352-1 2.620614-3 4.120975-1 1.859193-3 4.570882-1 1.328785-3 5.069907-1 9.567957-4 5.559043-1 7.191404-4 6.095369-1 5.443041-4 6.683439-1 4.152869-4 7.328245-1 3.192458-4 8.709636-1 1.974936-4 9.225714-1 1.694978-4 9.660509-1 1.508617-4 1.011579+0 1.351159-4 1.059254+0 1.218375-4 1.109175+0 1.105561-4 1.174898+0 9.863230-5 1.258925+0 8.671396-5 1.364583+0 7.509360-5 1.531087+0 6.156273-5 1.840772+0 4.452497-5 2.065380+0 3.659011-5 2.344229+0 2.971145-5 2.691535+0 2.386337-5 3.126079+0 1.897590-5 3.630781+0 1.520411-5 4.216965+0 1.227146-5 4.954502+0 9.816252-6 5.888437+0 7.789826-6 7.079458+0 6.134617-6 8.511380+0 4.868570-6 1.083927+1 3.628848-6 1.333521+1 2.844240-6 1.600000+1 2.306100-6 2.065380+1 1.731114-6 2.818383+1 1.231235-6 3.935501+1 8.611869-7 5.821032+1 5.707914-7 9.660509+1 3.383888-7 1.840772+2 1.753758-7 3.672823+2 8.730913-8 1.462177+3 2.181913-8 1.000000+5 3.18370-10 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 4.063500-4 9.430400-5 1.000000+5 9.430400-5 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 4.063500-4 6.363500-8 1.000000+5 6.363500-8 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 4.063500-4 3.119824-4 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 3.851300-4 1.311577+5 3.992000-4 1.550497+5 4.015000-4 1.610526+5 4.073803-4 1.794512+5 4.100000-4 1.871478+5 4.130000-4 1.952340+5 4.168694-4 2.048791+5 4.220000-4 2.168430+5 4.280000-4 2.297514+5 4.335000-4 2.402910+5 4.390000-4 2.494686+5 4.450000-4 2.581188+5 4.550000-4 2.705520+5 4.786301-4 2.975936+5 4.930000-4 3.132066+5 5.080000-4 3.272358+5 5.248075-4 3.402764+5 5.450000-4 3.531834+5 5.650000-4 3.637188+5 5.850000-4 3.720642+5 6.025596-4 3.773746+5 6.280000-4 3.821088+5 6.531306-4 3.842104+5 6.839116-4 3.836360+5 7.161434-4 3.801394+5 7.500000-4 3.741414+5 7.852356-4 3.658187+5 8.317638-4 3.527100+5 8.810489-4 3.376775+5 9.332543-4 3.210696+5 9.885531-4 3.029824+5 1.050000-3 2.830662+5 1.122018-3 2.609564+5 1.202264-3 2.380789+5 1.288250-3 2.154997+5 1.396368-3 1.903660+5 1.500000-3 1.693500+5 1.621810-3 1.480026+5 1.757924-3 1.278899+5 1.905461-3 1.097403+5 2.070000-3 9.313740+4 2.264644-3 7.735725+4 2.483133-3 6.346622+4 2.722701-3 5.166519+4 2.985383-3 4.176030+4 3.311311-3 3.258761+4 3.630781-3 2.595093+4 4.000000-3 2.028708+4 4.466836-3 1.518935+4 4.954502-3 1.148330+4 5.432503-3 8.901102+3 6.025596-3 6.638783+3 6.760830-3 4.752876+3 7.585776-3 3.374430+3 8.511380-3 2.376373+3 9.500000-3 1.688070+3 1.059254-2 1.194858+3 1.174898-2 8.546132+2 1.333521-2 5.628717+2 1.500000-2 3.791676+2 1.698244-2 2.479289+2 1.927525-2 1.594903+2 2.187762-2 1.018284+2 2.511886-2 6.191847+1 2.884032-2 3.736465+1 3.349654-2 2.145042+1 3.935501-2 1.170379+1 4.677351-2 6.064780+0 5.688529-2 2.855054+0 7.498942-2 9.755792-1 1.135011-1 1.939129-1 1.380384-1 9.099244-2 1.621810-1 4.912465-2 1.883649-1 2.784941-2 2.065380-1 1.974166-2 2.317395-1 1.294105-2 2.570396-1 8.909881-3 2.851018-1 6.176550-3 3.162278-1 4.311967-3 3.507519-1 3.032980-3 3.845918-1 2.233677-3 4.216965-1 1.656380-3 4.623810-1 1.237123-3 5.069907-1 9.307974-4 5.495409-1 7.301298-4 5.956621-1 5.764751-4 6.456542-1 4.591290-4 6.998420-1 3.682882-4 7.673615-1 2.884441-4 8.709636-1 2.069192-4 9.225714-1 1.789976-4 9.772372-1 1.559971-4 1.023293+0 1.406485-4 1.083927+0 1.244140-4 1.148154+0 1.107398-4 1.230269+0 9.696427-5 1.333521+0 8.365714-5 1.798871+0 4.940141-5 2.044000+0 3.970200-5 2.317395+0 3.227665-5 2.660725+0 2.590604-5 3.090295+0 2.058762-5 3.589219+0 1.648631-5 4.168694+0 1.329954-5 4.897788+0 1.063304-5 5.821032+0 8.433338-6 7.000000+0 6.636200-6 8.413951+0 5.265626-6 1.071519+1 3.923156-6 1.318257+1 3.073400-6 1.584893+1 2.485485-6 2.065380+1 1.845847-6 2.818383+1 1.312854-6 3.935501+1 9.182725-7 5.821032+1 6.086254-7 9.660509+1 3.608195-7 1.840772+2 1.869939-7 3.672823+2 9.309734-8 1.462177+3 2.326567-8 1.000000+5 3.39480-10 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 3.851300-4 9.042700-5 1.000000+5 9.042700-5 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 3.851300-4 7.582500-9 1.000000+5 7.582500-9 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 3.851300-4 2.946954-4 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 1.329500-4 8.733241+4 1.330000-4 8.870400+4 1.333521-4 9.576729+4 1.336000-4 1.005264+5 1.340000-4 1.078488+5 1.344000-4 1.147428+5 1.348000-4 1.212678+5 1.353000-4 1.288170+5 1.357000-4 1.344624+5 1.362000-4 1.410246+5 1.368000-4 1.481310+5 1.375000-4 1.554696+5 1.382000-4 1.618788+5 1.390000-4 1.681680+5 1.397000-4 1.728450+5 1.405000-4 1.772970+5 1.414000-4 1.813140+5 1.425000-4 1.849854+5 1.437000-4 1.876926+5 1.450000-4 1.894350+5 1.465000-4 1.902672+5 1.480000-4 1.902456+5 1.550000-4 1.869690+5 1.570000-4 1.868538+5 1.590000-4 1.876410+5 1.610000-4 1.895364+5 1.627000-4 1.921242+5 1.643000-4 1.954422+5 1.660000-4 1.999350+5 1.680000-4 2.065452+5 1.698244-4 2.138480+5 1.720000-4 2.241222+5 1.740000-4 2.350698+5 1.770000-4 2.541492+5 1.800000-4 2.763486+5 1.840772-4 3.114437+5 1.883649-4 3.544241+5 2.041738-4 5.658717+5 2.100000-4 6.627480+5 2.150000-4 7.517940+5 2.190000-4 8.257740+5 2.240000-4 9.200640+5 2.280000-4 9.959520+5 2.330000-4 1.090152+6 2.380000-4 1.182582+6 2.430000-4 1.272516+6 2.483133-4 1.364687+6 2.540973-4 1.460648+6 2.600160-4 1.553649+6 2.670000-4 1.655886+6 2.730000-4 1.736634+6 2.800000-4 1.821624+6 2.880000-4 1.905906+6 2.951209-4 1.968989+6 3.030000-4 2.026128+6 3.100000-4 2.066670+6 3.200000-4 2.109336+6 3.311311-4 2.138330+6 3.430000-4 2.151564+6 3.550000-4 2.150142+6 3.672823-4 2.136194+6 3.801894-4 2.109901+6 3.935501-4 2.071755+6 4.100000-4 2.012634+6 4.280000-4 1.938486+6 4.500000-4 1.841430+6 4.731513-4 1.736461+6 4.954502-4 1.634944+6 5.188000-4 1.529952+6 5.500000-4 1.395258+6 5.821032-4 1.266817+6 6.200000-4 1.129458+6 6.531306-4 1.021024+6 6.918310-4 9.075516+5 7.413102-4 7.824704+5 7.943282-4 6.696956+5 8.511380-4 5.688949+5 9.225714-4 4.667146+5 1.000000-3 3.797388+5 1.083927-3 3.067101+5 1.188502-3 2.382369+5 1.288250-3 1.896685+5 1.412538-3 1.451061+5 1.548817-3 1.101216+5 1.690000-3 8.427600+4 1.883649-3 5.989459+4 2.089296-3 4.285010+4 2.344229-3 2.925913+4 2.630268-3 1.979251+4 2.951209-3 1.326679+4 3.311311-3 8.815802+3 3.700000-3 5.896812+3 4.120975-3 3.962150+3 4.623810-3 2.570055+3 5.188000-3 1.654375+3 5.821032-3 1.056982+3 6.531306-3 6.703873+2 7.328245-3 4.222377+2 8.317638-3 2.520390+2 9.332543-3 1.566210+2 1.059254-2 9.209794+1 1.202264-2 5.376443+1 1.364583-2 3.116355+1 1.548817-2 1.793572+1 1.778279-2 9.740054+0 2.065380-2 4.989025+0 2.426610-2 2.409252+0 2.917427-2 1.040232+0 3.388442-2 5.227587-1 4.466836-2 1.453978-1 8.222426-2 8.488779-3 9.885531-2 3.623171-3 1.161449-1 1.735344-3 1.364583-1 8.375082-4 1.640590-1 3.674469-4 1.840772-1 2.209930-4 2.018366-1 1.479810-4 2.238721-1 9.514112-5 2.483133-1 6.161917-5 2.754229-1 4.018656-5 3.162278-1 2.293742-5 3.507519-1 1.516548-5 3.845918-1 1.056769-5 4.265795-1 7.091540-6 4.623810-1 5.234538-6 5.011872-1 3.891362-6 5.432503-1 2.918849-6 5.888437-1 2.205242-6 6.456542-1 1.611069-6 6.918310-1 1.281036-6 7.413102-1 1.025546-6 7.943282-1 8.275059-7 8.609938-1 6.464898-7 9.015711-1 5.641618-7 9.440609-1 4.953973-7 9.772372-1 4.517806-7 1.011579+0 4.143294-7 1.047129+0 3.820026-7 1.096478+0 3.451799-7 1.148154+0 3.140502-7 1.216186+0 2.812715-7 1.303167+0 2.484031-7 1.412538+0 2.164935-7 1.513561+0 1.929303-7 1.883649+0 1.313958-7 2.089296+0 1.101906-7 2.371374+0 8.953187-8 2.722701+0 7.195984-8 3.162278+0 5.725886-8 3.672823+0 4.590451-8 4.265795+0 3.707014-8 5.011872+0 2.966924-8 5.956621+0 2.355649-8 7.161434+0 1.856001-8 8.609938+0 1.473621-8 1.100000+1 1.094700-8 1.348963+1 8.616934-9 1.600000+1 7.080300-9 2.065380+1 5.314683-9 2.818383+1 3.780196-9 3.981072+1 2.611894-9 5.821032+1 1.752438-9 9.660509+1 1.038934-9 1.840772+2 5.38419-10 3.672823+2 2.68052-10 1.462177+3 6.69890-11 1.000000+5 9.77460-13 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 1.329500-4 5.177400-5 1.000000+5 5.177400-5 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.329500-4 4.79910-10 1.000000+5 4.79910-10 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.329500-4 8.117552-5 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 1.281600-4 1.246968+5 1.282200-4 1.267736+5 1.285000-4 1.344744+5 1.289000-4 1.449064+5 1.292000-4 1.523112+5 1.296000-4 1.616512+5 1.300000-4 1.704736+5 1.305000-4 1.806912+5 1.310000-4 1.900752+5 1.316000-4 2.003512+5 1.321000-4 2.081328+5 1.328000-4 2.178616+5 1.334000-4 2.252024+5 1.340000-4 2.317008+5 1.348963-4 2.399663+5 1.359000-4 2.473976+5 1.370000-4 2.536216+5 1.380384-4 2.579265+5 1.390000-4 2.607728+5 1.405000-4 2.634480+5 1.420000-4 2.644928+5 1.445440-4 2.639367+5 1.500000-4 2.603400+5 1.520200-4 2.601115+5 1.540000-4 2.611264+5 1.560000-4 2.636832+5 1.580000-4 2.679912+5 1.600000-4 2.742032+5 1.620000-4 2.824152+5 1.643000-4 2.943944+5 1.660000-4 3.050056+5 1.680000-4 3.193848+5 1.705000-4 3.402128+5 1.736500-4 3.708707+5 1.770000-4 4.087472+5 1.810000-4 4.609776+5 1.880000-4 5.705176+5 1.990000-4 7.879744+5 2.051300-4 9.301871+5 2.100000-4 1.051048+6 2.150000-4 1.179856+6 2.193300-4 1.293273+6 2.240000-4 1.415752+6 2.290868-4 1.547469+6 2.344229-4 1.682245+6 2.400000-4 1.818088+6 2.454709-4 1.945592+6 2.520000-4 2.089624+6 2.580000-4 2.213400+6 2.650000-4 2.346584+6 2.722701-4 2.470765+6 2.800000-4 2.585672+6 2.880000-4 2.685208+6 2.951209-4 2.757340+6 3.030000-4 2.820224+6 3.126079-4 2.875360+6 3.235937-4 2.913900+6 3.350000-4 2.931336+6 3.470000-4 2.929248+6 3.600000-4 2.907032+6 3.715352-4 2.872575+6 3.850000-4 2.818072+6 4.000000-4 2.743536+6 4.200000-4 2.628616+6 4.415704-4 2.495825+6 4.623810-4 2.363950+6 4.850000-4 2.220248+6 5.080000-4 2.076848+6 5.370318-4 1.903082+6 5.688529-4 1.725338+6 6.025596-4 1.554235+6 6.382635-4 1.391289+6 6.760830-4 1.236961+6 7.244360-4 1.066423+6 7.762471-4 9.131065+5 8.317638-4 7.758058+5 9.015711-4 6.365364+5 9.700000-4 5.281024+5 1.047129-3 4.315583+5 1.135011-3 3.464269+5 1.230269-3 2.763800+5 1.350000-3 2.112496+5 1.462177-3 1.667151+5 1.621810-3 1.215666+5 1.800000-3 8.766240+4 1.972423-3 6.532186+4 2.150000-3 4.922672+4 2.371374-3 3.545439+4 2.650000-3 2.423400+4 2.951209-3 1.662500+4 3.273407-3 1.148402+4 3.600000-3 8.128480+3 3.981072-3 5.603641+3 4.466836-3 3.632790+3 5.011872-3 2.337820+3 5.623413-3 1.492163+3 6.309573-3 9.453368+2 7.079458-3 5.946745+2 8.000000-3 3.608312+2 9.015711-3 2.197396+2 1.023293-2 1.290151+2 1.174898-2 7.155993+1 1.380384-2 3.565971+1 1.584893-2 1.948182+1 1.798871-2 1.111587+1 2.041738-2 6.278963+0 2.344229-2 3.341498+0 2.722701-2 1.674583+0 3.273407-2 7.097060-1 4.365158-2 1.842593-1 5.888437-2 4.493248-2 8.317638-2 8.726370-3 9.885531-2 3.870933-3 1.135011-1 2.037452-3 1.303167-1 1.079659-3 1.500000-1 5.697557-4 1.678804-1 3.430066-4 1.862087-1 2.164447-4 2.041738-1 1.447046-4 2.238721-1 9.748102-5 2.454709-1 6.610107-5 2.754229-1 4.100175-5 3.019952-1 2.818163-5 3.273407-1 2.043367-5 3.548134-1 1.491846-5 3.845918-1 1.098088-5 4.168694-1 8.142196-6 4.518559-1 6.082461-6 4.897788-1 4.578315-6 5.308844-1 3.472765-6 5.688529-1 2.757716-6 6.165950-1 2.122849-6 6.623700-1 1.693300-6 7.161434-1 1.334030-6 7.762471-1 1.050346-6 8.511380-1 8.055820-7 9.772372-1 5.475534-7 1.011579+0 5.002408-7 1.047129+0 4.599534-7 1.083927+0 4.252127-7 1.135011+0 3.857885-7 1.188502+0 3.525357-7 1.258925+0 3.174118-7 1.348963+0 2.817506-7 1.513561+0 2.332342-7 1.905461+0 1.557213-7 2.113489+0 1.306712-7 2.398833+0 1.062457-7 2.754229+0 8.544744-8 3.198895+0 6.802991-8 3.715352+0 5.457190-8 4.365158+0 4.338779-8 5.128614+0 3.476229-8 6.095369+0 2.762752-8 7.328245+0 2.178866-8 8.810489+0 1.731685-8 1.122018+1 1.292369-8 1.380384+1 1.014301-8 1.603245+1 8.539040-9 2.065380+1 6.424425-9 2.818383+1 4.569485-9 4.000000+1 3.141500-9 5.888437+1 2.093064-9 9.885531+1 1.226584-9 1.862087+2 6.43298-10 3.715352+2 3.20294-10 1.479108+3 8.00479-11 1.000000+5 1.18160-12 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 1.281600-4 4.892500-5 1.000000+5 4.892500-5 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 1.281600-4 6.795800-9 1.000000+5 6.795800-9 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 1.281600-4 7.922820-5 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 1.391600-4 6.756400+4 1.409000-4 6.470920+4 1.420000-4 6.321160+4 1.435000-4 6.165140+4 1.450000-4 6.051500+4 1.472000-4 5.941320+4 1.496236-4 5.871521+4 1.522600-4 5.839016+4 1.560000-4 5.840300+4 1.720000-4 5.990840+4 1.800000-4 6.029960+4 1.883649-4 6.028973+4 2.000000-4 5.981280+4 2.220000-4 5.836260+4 2.426610-4 5.679343+4 2.580000-4 5.539200+4 2.754229-4 5.354168+4 2.951209-4 5.126075+4 3.200000-4 4.835580+4 3.507519-4 4.494714+4 3.801894-4 4.187855+4 4.144800-4 3.852331+4 4.623810-4 3.435044+4 5.150000-4 3.046960+4 5.688529-4 2.708682+4 6.531306-4 2.279565+4 7.413102-4 1.931769+4 8.609938-4 1.575401+4 1.000000-3 1.274968+4 1.188502-3 9.912941+3 1.428894-3 7.517200+3 1.730000-3 5.597340+3 2.089296-3 4.153292+3 2.540973-3 3.023849+3 3.054921-3 2.226176+3 3.672823-3 1.626836+3 4.466836-3 1.156202+3 5.432503-3 8.148901+2 6.531306-3 5.820083+2 7.852356-3 4.126526+2 9.549926-3 2.841375+2 1.161449-2 1.941876+2 1.396368-2 1.347429+2 1.678804-2 9.280854+1 2.018366-2 6.344772+1 2.426610-2 4.305508+1 2.917427-2 2.899385+1 3.467369-2 1.986586+1 4.168694-2 1.317124+1 5.011872-2 8.665075+0 6.025596-2 5.655379+0 7.328245-2 3.565326+0 8.810489-2 2.292410+0 1.083927-1 1.379737+0 1.396368-1 7.353589-1 2.818383-1 1.263435-1 3.427678-1 7.793342-2 4.027170-1 5.271277-2 4.677351-1 3.692800-2 5.308844-1 2.750500-2 6.025596-1 2.062196-2 6.839117-1 1.557251-2 7.762471-1 1.184554-2 8.810489-1 9.072631-3 9.772372-1 7.341094-3 1.135011+0 5.459268-3 1.288250+0 4.277465-3 1.462177+0 3.378182-3 1.640590+0 2.746211-3 1.862087+0 2.202790-3 2.137962+0 1.744669-3 2.426610+0 1.419502-3 2.786121+0 1.142329-3 3.235937+0 9.099770-4 3.758374+0 7.303679-4 4.415704+0 5.810215-4 5.188000+0 4.657698-4 6.165950+0 3.703467-4 7.413102+0 2.922135-4 8.912509+0 2.323438-4 1.122018+1 1.758745-4 1.380384+1 1.380325-4 1.584893+1 1.177232-4 2.065380+1 8.742663-5 2.818383+1 6.218445-5 3.981072+1 4.296639-5 5.888437+1 2.848369-5 9.885531+1 1.669176-5 1.862087+2 8.754312-6 3.715352+2 4.358691-6 1.479108+3 1.089299-6 1.000000+5 1.607900-8 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 1.391600-4 6.202700-5 1.000000+5 6.202700-5 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.391600-4 1.174900-9 1.000000+5 1.174900-9 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.391600-4 7.713183-5 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 9.903000-5 5.696200+5 9.965000-5 6.043640+5 1.002000-4 6.311940+5 1.007000-4 6.525520+5 1.012000-4 6.708080+5 1.018000-4 6.894120+5 1.025000-4 7.067800+5 1.032000-4 7.196460+5 1.040000-4 7.296500+5 1.047129-4 7.349973+5 1.055000-4 7.374320+5 1.065000-4 7.360340+5 1.075000-4 7.303920+5 1.085000-4 7.214100+5 1.100000-4 7.032440+5 1.115000-4 6.813240+5 1.135011-4 6.486417+5 1.160000-4 6.058040+5 1.190000-4 5.550660+5 1.244515-4 4.714797+5 1.400000-4 3.042180+5 1.513561-4 2.292396+5 1.621810-4 1.796548+5 1.720000-4 1.469936+5 1.819701-4 1.222019+5 1.905461-4 1.057598+5 2.000000-4 9.148240+4 2.089296-4 8.078390+4 2.190000-4 7.115560+4 2.290868-4 6.347613+4 2.398833-4 5.691117+4 2.500000-4 5.195800+4 2.600160-4 4.794447+4 2.691535-4 4.489533+4 2.818383-4 4.141554+4 2.951209-4 3.848094+4 3.100000-4 3.581880+4 3.280000-4 3.322900+4 3.500000-4 3.072480+4 3.758374-4 2.842207+4 4.100000-4 2.607120+4 4.677351-4 2.311236+4 6.095369-4 1.825277+4 7.000000-4 1.603500+4 8.000000-4 1.405040+4 9.120108-4 1.225278+4 1.047129-3 1.051682+4 1.190000-3 9.061820+3 1.364583-3 7.665752+3 1.570000-3 6.403660+3 1.800000-3 5.329720+3 2.041738-3 4.467564+3 2.317395-3 3.715052+3 2.630268-3 3.066969+3 3.000000-3 2.493960+3 3.388442-3 2.044699+3 3.845918-3 1.650726+3 4.365158-3 1.322907+3 4.954502-3 1.052520+3 5.623413-3 8.313967+2 6.382635-3 6.520393+2 7.244360-3 5.077737+2 8.222426-3 3.926894+2 9.332543-3 3.015608+2 1.071519-2 2.242886+2 1.230269-2 1.654982+2 1.412538-2 1.211505+2 1.603245-2 9.038200+1 1.840772-2 6.516109+1 2.113489-2 4.661938+1 2.426610-2 3.310522+1 2.786121-2 2.334153+1 3.235937-2 1.586169+1 3.758374-2 1.069689+1 4.466836-2 6.732692+0 5.128614-2 4.627536+0 6.095369-2 2.869322+0 7.413102-2 1.655387+0 9.332543-2 8.593392-1 1.862087-1 1.177013-1 2.317395-1 6.313093-2 2.754229-1 3.886927-2 3.235937-1 2.490248-2 3.715352-1 1.712186-2 4.216965-1 1.222714-2 4.786301-1 8.795150-3 5.370318-1 6.564197-3 6.025596-1 4.934462-3 6.760830-1 3.738807-3 7.498942-1 2.932529-3 8.609938-1 2.139525-3 9.332543-1 1.791285-3 1.011579+0 1.510557-3 1.109175+0 1.253738-3 1.216186+0 1.047939-3 1.348963+0 8.627569-4 1.548817+0 6.717430-4 1.778279+0 5.264811-4 2.044000+0 4.149900-4 2.317395+0 3.373560-4 2.630268+0 2.756999-4 3.019952+0 2.228339-4 3.507519+0 1.782291-4 4.073803+0 1.436166-4 4.786301+0 1.146916-4 5.623413+0 9.227470-5 6.760830+0 7.252936-5 8.128305+0 5.744852-5 1.011579+1 4.395480-5 1.216186+1 3.529188-5 1.566751+1 2.632010-5 2.041738+1 1.954214-5 2.754229+1 1.407062-5 3.845918+1 9.835793-6 5.688529+1 6.516197-6 9.332543+1 3.907548-6 1.778279+2 2.024309-6 3.548134+2 1.007543-6 1.412538+3 2.517440-7 1.000000+5 3.548400-9 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 9.903000-5 4.693300-5 1.000000+5 4.693300-5 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 9.903000-5 1.805100-9 1.000000+5 1.805100-9 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 9.903000-5 5.209519-5 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 7.796000-5 1.356492+6 7.852356-5 1.386792+6 7.920000-5 1.414692+6 8.000000-5 1.436388+6 8.080000-5 1.447540+6 8.150000-5 1.450296+6 8.230000-5 1.446380+6 8.330000-5 1.432976+6 8.450000-5 1.407300+6 8.570000-5 1.373820+6 8.730000-5 1.321176+6 8.912509-5 1.255020+6 9.150000-5 1.166120+6 9.440609-5 1.060579+6 1.083927-4 6.817542+5 1.135011-4 5.917430+5 1.190000-4 5.148600+5 1.244515-4 4.544441+5 1.300000-4 4.054080+5 1.356100-4 3.657284+5 1.412538-4 3.335871+5 1.462177-4 3.103623+5 1.520000-4 2.879620+5 1.584893-4 2.674322+5 1.659587-4 2.483025+5 1.737801-4 2.320236+5 1.840772-4 2.146953+5 1.972423-4 1.971726+5 2.113489-4 1.823355+5 2.300000-4 1.669296+5 2.600160-4 1.482363+5 3.235937-4 1.204300+5 3.715352-4 1.049819+5 4.265795-4 9.082037+4 4.841724-4 7.895387+4 5.500000-4 6.805680+4 6.309573-4 5.752868+4 7.161434-4 4.891420+4 8.222426-4 4.067588+4 9.332543-4 3.412689+4 1.071519-3 2.798964+4 1.216186-3 2.319791+4 1.396368-3 1.878355+4 1.621810-3 1.483307+4 1.883649-3 1.161944+4 2.162719-3 9.207781+3 2.454709-3 7.391528+3 2.818383-3 5.775659+3 3.198895-3 4.575587+3 3.672823-3 3.521315+3 4.216965-3 2.688528+3 4.841724-3 2.036405+3 5.495409-3 1.567495+3 6.237348-3 1.198422+3 7.079458-3 9.100408+2 8.035261-3 6.863407+2 9.120108-3 5.141128+2 1.047129-2 3.721583+2 1.202264-2 2.672744+2 1.380384-2 1.904261+2 1.566751-2 1.385787+2 1.798871-2 9.722274+1 2.041738-2 6.976535+1 2.344229-2 4.820449+1 2.691535-2 3.305495+1 3.090295-2 2.250091+1 3.548134-2 1.520867+1 4.120975-2 9.870603+0 4.841724-2 6.147768+0 5.688529-2 3.800476+0 6.683439-2 2.332278+0 8.128305-2 1.278770+0 1.023293-1 6.254888-1 1.737801-1 1.190399-1 2.162719-1 6.039869-2 2.540973-1 3.688065-2 2.917427-1 2.432503-2 3.311311-1 1.672052-2 3.758374-1 1.157854-2 4.216965-1 8.351163-3 4.731513-1 6.069832-3 5.248075-1 4.586865-3 5.821032-1 3.490802-3 6.456542-1 2.676946-3 7.161434-1 2.068674-3 7.943282-1 1.610795-3 8.709636-1 1.292873-3 9.332543-1 1.103497-3 9.885531-1 9.727337-4 1.071519+0 8.227842-4 1.161449+0 7.006412-4 1.258925+0 6.002490-4 1.396368+0 4.961323-4 1.698244+0 3.501751-4 1.949845+0 2.757625-4 2.213095+0 2.231459-4 2.511886+0 1.819045-4 2.884032+0 1.466667-4 3.349654+0 1.170404-4 3.890451+0 9.410192-5 4.570882+0 7.498659-5 5.370318+0 6.020591-5 6.456542+0 4.722915-5 7.762471+0 3.733648-5 9.440609+0 2.932557-5 1.161449+1 2.286053-5 1.513561+1 1.679622-5 2.000000+1 1.226900-5 2.691535+1 8.852204-6 3.715352+1 6.260603-6 5.495409+1 4.144784-6 8.912509+1 2.513626-6 1.698244+2 1.301447-6 3.388442+2 6.475661-7 1.348963+3 1.617573-7 1.000000+5 2.177200-9 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 7.796000-5 4.107200-5 1.000000+5 4.107200-5 1 81000 7 7 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 7.796000-5 5.75190-10 1.000000+5 5.75190-10 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 7.796000-5 3.688742-5 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 2.240000-5 2.751912+6 2.270000-5 2.763036+6 2.300000-5 2.786452+6 2.330000-5 2.823844+6 2.371374-5 2.898689+6 2.410000-5 2.993248+6 2.450000-5 3.113780+6 2.485000-5 3.238924+6 2.520000-5 3.382848+6 2.570396-5 3.622661+6 2.600160-5 3.781989+6 2.660725-5 4.146660+6 2.722701-5 4.576624+6 2.800000-5 5.193680+6 2.917427-5 6.302253+6 3.090295-5 8.288165+6 3.198895-5 9.718742+6 3.273407-5 1.075789+7 3.350000-5 1.185400+7 3.427678-5 1.297266+7 3.500000-5 1.399604+7 3.570000-5 1.494776+7 3.630781-5 1.572606+7 3.690000-5 1.642876+7 3.758374-5 1.715791+7 3.830000-5 1.781276+7 3.900000-5 1.833396+7 3.970000-5 1.873324+7 4.030000-5 1.897680+7 4.090000-5 1.913124+7 4.168694-5 1.920603+7 4.229500-5 1.917133+7 4.315191-5 1.900228+7 4.410200-5 1.867314+7 4.500000-5 1.825364+7 4.610000-5 1.763480+7 4.731513-5 1.686071+7 4.850000-5 1.605232+7 5.011872-5 1.492031+7 5.188000-5 1.371041+7 5.400000-5 1.233676+7 5.650000-5 1.086356+7 5.900000-5 9.552840+6 6.165950-5 8.327886+6 6.500000-5 7.013000+6 6.800000-5 6.014280+6 7.150000-5 5.032440+6 7.500000-5 4.216200+6 7.900000-5 3.452192+6 8.317638-5 2.812513+6 8.810489-5 2.221488+6 9.332543-5 1.743423+6 1.000000-4 1.294576+6 1.071519-4 9.549987+5 1.150000-4 6.944760+5 1.230269-4 5.088355+5 1.318257-4 3.673892+5 1.584893-4 1.512756+5 1.659587-4 1.219054+5 1.720000-4 1.037308+5 1.780000-4 8.949920+4 1.835000-4 7.911680+4 1.883649-4 7.165708+4 1.930000-4 6.579720+4 1.980000-4 6.061640+4 2.020000-4 5.719080+4 2.065380-4 5.395900+4 2.113489-4 5.117747+4 2.162719-4 4.890658+4 2.213095-4 4.708462+4 2.264644-4 4.565645+4 2.317395-4 4.457112+4 2.380000-4 4.368160+4 2.450000-4 4.308640+4 2.519300-4 4.281132+4 2.600160-4 4.277977+4 2.691535-4 4.300881+4 2.818383-4 4.360839+4 3.388442-4 4.697139+4 3.600000-4 4.782920+4 3.801894-4 4.832592+4 4.027170-4 4.855744+4 4.280000-4 4.844320+4 4.518559-4 4.806479+4 4.786301-4 4.736485+4 5.069907-4 4.638861+4 5.432503-4 4.488329+4 5.821032-4 4.306808+4 6.200000-4 4.121680+4 6.683439-4 3.881896+4 7.161434-4 3.646358+4 7.762471-4 3.364172+4 8.317638-4 3.119571+4 9.015711-4 2.836123+4 9.772372-4 2.560103+4 1.059254-3 2.295370+4 1.148154-3 2.044696+4 1.244515-3 1.809912+4 1.364583-3 1.562650+4 1.500000-3 1.333012+4 1.640590-3 1.138785+4 1.798871-3 9.615874+3 1.972423-3 8.061503+3 2.162719-3 6.711644+3 2.371374-3 5.549493+3 2.600160-3 4.557532+3 2.851018-3 3.717963+3 3.126079-3 3.013051+3 3.467369-3 2.360125+3 3.845918-3 1.834129+3 4.265795-3 1.414471+3 4.731513-3 1.082707+3 5.248075-3 8.227181+2 5.821032-3 6.207400+2 6.456542-3 4.651727+2 7.161434-3 3.462729+2 8.035261-3 2.475344+2 9.015711-3 1.755664+2 1.011579-2 1.235828+2 1.148154-2 8.328131+1 1.288250-2 5.783460+1 1.445440-2 3.988244+1 1.621810-2 2.731518+1 1.819701-2 1.858158+1 2.018366-2 1.305077+1 2.290868-2 8.411296+0 2.630268-2 5.168036+0 3.054921-2 3.024984+0 3.589219-2 1.687352+0 4.265795-2 8.957278-1 5.128614-2 4.523480-1 6.456542-2 1.906973-1 1.202264-1 1.823238-2 1.500000-1 7.961000-3 1.778279-1 4.234481-3 2.041738-1 2.552926-3 2.344229-1 1.551339-3 2.660725-1 9.897092-4 3.019952-1 6.360992-4 3.388442-1 4.284113-4 3.801894-1 2.907151-4 4.216965-1 2.065496-4 4.677351-1 1.478187-4 5.188000-1 1.065728-4 5.688529-1 8.021205-5 6.165950-1 6.295063-5 6.760830-1 4.811505-5 7.413102-1 3.705104-5 8.035261-1 2.963166-5 8.609938-1 2.440760-5 9.120108-1 2.089628-5 9.549926-1 1.855734-5 1.000000+0 1.658000-5 1.047129+0 1.491700-5 1.096478+0 1.351157-5 1.161449+0 1.203492-5 1.230269+0 1.079526-5 1.333521+0 9.334793-6 1.479108+0 7.808996-6 1.862087+0 5.213996-6 2.089296+0 4.287447-6 2.371374+0 3.483634-6 2.722701+0 2.799800-6 3.162278+0 2.227762-6 3.672823+0 1.786051-6 4.265795+0 1.442342-6 5.011872+0 1.154374-6 5.956621+0 9.165258-7 7.161434+0 7.221221-7 8.609938+0 5.733679-7 1.100000+1 4.259100-7 1.348963+1 3.352627-7 1.600000+1 2.754700-7 2.065380+1 2.067858-7 2.800000+1 1.481300-7 3.890451+1 1.041300-7 5.754399+1 6.900477-8 9.440609+1 4.138756-8 1.798871+2 2.144321-8 3.589219+2 1.067418-8 1.428894+3 2.667156-9 1.000000+5 3.80310-11 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 2.240000-5 2.240000-5 1.000000+5 2.240000-5 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 2.240000-5 0.0 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 2.001000-5 5.268402+6 2.030000-5 5.259864+6 2.065380-5 5.283945+6 2.095000-5 5.333046+6 2.130000-5 5.424630+6 2.162719-5 5.542115+6 2.190000-5 5.662932+6 2.230000-5 5.876226+6 2.270000-5 6.131820+6 2.317395-5 6.487906+6 2.371374-5 6.962537+6 2.426610-5 7.523166+6 2.500000-5 8.382600+6 2.580000-5 9.465060+6 2.900000-5 1.515102+7 3.000000-5 1.726506+7 3.090295-5 1.923400+7 3.162278-5 2.080607+7 3.235937-5 2.237937+7 3.311311-5 2.391384+7 3.388442-5 2.536467+7 3.450000-5 2.640966+7 3.507519-5 2.727881+7 3.570000-5 2.809188+7 3.630781-5 2.874241+7 3.690000-5 2.923752+7 3.758374-5 2.963730+7 3.830000-5 2.986248+7 3.900000-5 2.990094+7 3.981072-5 2.974076+7 4.070000-5 2.934384+7 4.150000-5 2.882136+7 4.229500-5 2.817774+7 4.330000-5 2.722968+7 4.450000-5 2.596512+7 4.570882-5 2.461115+7 4.720000-5 2.290812+7 4.897788-5 2.091733+7 5.080000-5 1.898844+7 5.308844-5 1.677512+7 5.580000-5 1.446660+7 5.821032-5 1.268067+7 6.150000-5 1.060158+7 6.456542-5 8.980167+6 6.800000-5 7.465920+6 7.161434-5 6.159533+6 7.500000-5 5.154492+6 7.900000-5 4.188630+6 8.317638-5 3.387463+6 8.810489-5 2.654688+6 9.332543-5 2.067530+6 1.000000-4 1.520526+6 1.071519-4 1.110537+6 1.150000-4 7.992360+5 1.244515-4 5.487202+5 1.462177-4 2.513055+5 1.531087-4 2.021219+5 1.584893-4 1.725707+5 1.640590-4 1.483226+5 1.690000-4 1.311480+5 1.737801-4 1.176835+5 1.780000-4 1.079250+5 1.820000-4 1.002174+5 1.865000-4 9.305640+4 1.905461-4 8.776722+4 1.950000-4 8.300820+4 1.995262-4 7.913638+4 2.041738-4 7.600980+4 2.089296-4 7.355040+4 2.137962-4 7.166878+4 2.190000-4 7.023240+4 2.240000-4 6.930660+4 2.300000-4 6.866520+4 2.371374-4 6.841910+4 2.454709-4 6.863346+4 2.570396-4 6.947093+4 3.100000-4 7.503660+4 3.311311-4 7.661959+4 3.507519-4 7.756696+4 3.715352-4 7.798902+4 3.935501-4 7.790843+4 4.200000-4 7.718460+4 4.466836-4 7.595304+4 4.786301-4 7.399032+4 5.069907-4 7.189889+4 5.400000-4 6.923700+4 5.821032-4 6.564747+4 6.237348-4 6.203979+4 6.683439-4 5.826190+4 7.161434-4 5.436937+4 7.762471-4 4.976414+4 8.413951-4 4.521880+4 9.120108-4 4.079662+4 9.885531-4 3.654115+4 1.083927-3 3.196952+4 1.188502-3 2.774718+4 1.303167-3 2.389518+4 1.428894-3 2.042248+4 1.566751-3 1.732853+4 1.717908-3 1.459938+4 1.883649-3 1.221271+4 2.065380-3 1.014479+4 2.264644-3 8.369049+3 2.483133-3 6.857355+3 2.722701-3 5.581253+3 3.000000-3 4.461444+3 3.311311-3 3.525741+3 3.672823-3 2.732620+3 4.073803-3 2.101455+3 4.518559-3 1.603828+3 5.011872-3 1.214953+3 5.559043-3 9.139087+2 6.237348-3 6.607074+2 6.918310-3 4.899731+2 7.673615-3 3.606940+2 8.317638-3 2.825181+2 9.332543-3 1.976220+2 1.083927-2 1.230467+2 1.230269-2 8.181584+1 1.380384-2 5.606951+1 1.548817-2 3.816687+1 1.737801-2 2.580483+1 1.927525-2 1.802906+1 2.187762-2 1.152788+1 2.483133-2 7.314951+0 2.851018-2 4.419453+0 3.349654-2 2.435264+0 3.935501-2 1.331459+0 4.677351-2 6.918375-1 5.432503-2 3.898325-1 6.918310-2 1.529513-1 1.161449-1 2.041540-2 1.412538-1 9.601264-3 1.678804-1 4.969631-3 1.927525-1 2.955955-3 2.162719-1 1.930846-3 2.426610-1 1.270433-3 2.691535-1 8.774177-4 3.000000-1 5.998500-4 3.311311-1 4.272351-4 3.630781-1 3.133422-4 4.000000-1 2.278300-4 4.365158-1 1.721127-4 4.786301-1 1.289945-4 5.248075-1 9.742979-5 5.688529-1 7.672228-5 6.165950-1 6.082232-5 6.683439-1 4.856306-5 7.244360-1 3.902736-5 8.609938-1 2.480263-5 9.120108-1 2.145774-5 9.660509-1 1.869442-5 1.011579+0 1.684470-5 1.071519+0 1.489022-5 1.148154+0 1.294287-5 1.230269+0 1.133129-5 1.333521+0 9.772996-6 1.819701+0 5.653342-6 2.065380+0 4.555019-6 2.344229+0 3.698562-6 2.691535+0 2.970577-6 3.126079+0 2.362236-6 3.630781+0 1.892758-6 4.216965+0 1.527684-6 4.954502+0 1.222008-6 5.888437+0 9.697529-7 7.079458+0 7.636902-7 8.511380+0 6.060821-7 1.083927+1 4.517462-7 1.333521+1 3.540709-7 1.584893+1 2.901819-7 2.065380+1 2.154999-7 2.818383+1 1.532790-7 3.935501+1 1.072112-7 5.821032+1 7.105668-8 9.660509+1 4.212609-8 1.840772+2 2.183161-8 3.672823+2 1.086914-8 1.462177+3 2.716208-9 1.000000+5 3.96340-11 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 2.001000-5 2.001000-5 1.000000+5 2.001000-5 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 2.001000-5 0.0 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 1.236000-5 4.819680+6 1.380384-5 2.952782+6 1.698244-5 1.165009+6 2.150000-5 4.026200+5 2.350000-5 2.714280+5 2.500000-5 2.076100+5 2.630268-5 1.676581+5 2.754229-5 1.390741+5 2.851018-5 1.215331+5 2.951209-5 1.067865+5 3.054921-5 9.441967+4 3.162278-5 8.407856+4 3.260000-5 7.640240+4 3.350000-5 7.051840+4 3.450000-5 6.506980+4 3.548134-5 6.063620+4 3.650000-5 5.681160+4 3.770000-5 5.313040+4 3.900000-5 4.993900+4 4.030000-5 4.739340+4 4.168694-5 4.522734+4 4.315191-5 4.341234+4 4.472100-5 4.187588+4 4.677351-5 4.032924+4 4.900000-5 3.906320+4 5.188000-5 3.782614+4 5.688529-5 3.623191+4 6.606934-5 3.388359+4 7.300000-5 3.217420+4 8.035261-5 3.037806+4 8.810489-5 2.854029+4 9.660509-5 2.662976+4 1.080000-4 2.429640+4 1.216186-4 2.185589+4 1.380384-4 1.935563+4 1.603245-4 1.662769+4 2.187762-4 1.197703+4 2.511886-4 1.029686+4 2.818383-4 9.012771+3 3.162278-4 7.832473+3 3.672823-4 6.470729+3 4.415704-4 5.067457+3 5.623413-4 3.644011+3 6.382635-4 3.047945+3 7.585776-4 2.368886+3 1.000000-3 1.566640+3 1.216186-3 1.159783+3 1.513561-3 8.220125+2 1.883649-3 5.788529+2 2.344229-3 4.047043+2 2.884032-3 2.862090+2 3.507519-3 2.047693+2 4.265795-3 1.454005+2 5.188000-3 1.024625+2 6.382635-3 7.020122+1 7.673615-3 4.978176+1 9.332543-3 3.428717+1 1.148154-2 2.292133+1 1.380384-2 1.590975+1 1.659587-2 1.096246+1 2.000000-2 7.460219+0 2.398833-2 5.089640+0 2.884032-2 3.428909+0 3.427678-2 2.350512+0 4.073803-2 1.599909+0 4.841724-2 1.081360+0 5.754399-2 7.253194-1 6.918310-2 4.701691-1 8.413951-2 2.943473-1 1.011580-1 1.877965-1 1.288250-1 1.032274-1 1.862087-1 4.104289-2 2.660725-1 1.675148-2 3.273407-1 1.002359-2 3.890451-1 6.581494-3 4.518559-1 4.603366-3 5.188000-1 3.333403-3 5.956621-1 2.432778-3 6.760830-1 1.836309-3 7.673615-1 1.396302-3 8.709636-1 1.069101-3 9.660509-1 8.649425-4 1.161449+0 6.011830-4 1.288250+0 4.924158-4 1.462177+0 3.889879-4 1.640590+0 3.162387-4 1.862087+0 2.536539-4 2.137962+0 2.009138-4 2.426610+0 1.634727-4 2.786121+0 1.315498-4 3.235937+0 1.047900-4 3.758374+0 8.410651-5 4.415704+0 6.690748-5 5.188000+0 5.363531-5 6.165950+0 4.264746-5 7.413102+0 3.364998-5 8.912509+0 2.675623-5 1.122018+1 2.025283-5 1.380384+1 1.589504-5 1.603245+1 1.338119-5 2.089296+1 9.939877-6 2.851018+1 7.072142-6 4.027170+1 4.887800-6 5.956621+1 3.241062-6 1.000000+2 1.899600-6 1.905461+2 9.848659-7 3.801894+2 4.904291-7 1.513561+3 1.225799-7 1.000000+5 1.851600-9 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 1.236000-5 1.236000-5 1.000000+5 1.236000-5 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 1.236000-5 0.0 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 5.460000-6 6.768986+6 6.200000-6 5.432528+6 6.760830-6 4.648359+6 7.413102-6 3.917588+6 8.317638-6 3.139845+6 9.225714-6 2.556342+6 1.035142-5 2.018841+6 1.150000-5 1.616445+6 1.288250-5 1.261972+6 1.428894-5 1.000034+6 1.603245-5 7.659104+5 1.798871-5 5.817768+5 2.000000-5 4.484262+5 2.238721-5 3.375736+5 2.511886-5 2.508741+5 2.884032-5 1.743447+5 3.349654-5 1.165983+5 3.935501-5 7.501412+4 4.623810-5 4.790558+4 5.432503-5 3.035691+4 6.382635-5 1.907910+4 8.222426-5 9.094630+3 9.549926-5 5.884661+3 1.059254-4 4.380474+3 1.161449-4 3.391456+3 1.260000-4 2.722181+3 1.364583-4 2.210181+3 1.462177-4 1.856859+3 1.570000-4 1.563062+3 1.678804-4 1.339240+3 1.778279-4 1.180273+3 1.883649-4 1.046283+3 2.000000-4 9.285724+2 2.137962-4 8.201478+2 2.290868-4 7.268719+2 2.454709-4 6.489493+2 2.630268-4 5.832686+2 2.851018-4 5.189170+2 3.126079-4 4.579115+2 3.427678-4 4.072248+2 3.801894-4 3.597257+2 4.315191-4 3.117887+2 5.011872-4 2.655430+2 6.165950-4 2.139237+2 7.079458-4 1.838735+2 8.810489-4 1.430492+2 1.035142-3 1.182893+2 1.188502-3 9.969727+1 1.364583-3 8.341105+1 1.584893-3 6.823328+1 1.819701-3 5.629888+1 2.089296-3 4.611761+1 2.398833-3 3.749677+1 2.786121-3 2.984750+1 3.054921-3 2.575259+1 3.388442-3 2.166168+1 4.120975-3 1.544172+1 4.677351-3 1.231472+1 5.308844-3 9.752580+0 6.025596-3 7.669853+0 6.839116-3 5.989807+0 7.762471-3 4.645366+0 8.810489-3 3.577867+0 1.000000-2 2.736864+0 1.135011-2 2.079387+0 1.303167-2 1.529112+0 1.496236-2 1.115579+0 1.717908-2 8.074724-1 1.972423-2 5.799907-1 2.264644-2 4.134144-1 2.600160-2 2.925405-1 3.019952-2 1.995542-1 3.507519-2 1.350375-1 4.073803-2 9.072139-2 4.786301-2 5.867511-2 5.623413-2 3.766204-2 6.760830-2 2.251631-2 8.413951-2 1.212335-2 1.059254-1 6.272278-3 1.798871-1 1.364161-3 2.264644-1 7.074028-4 2.691535-1 4.351470-4 3.162278-1 2.784915-4 3.630781-1 1.912728-4 4.120975-1 1.364459-4 4.677351-1 9.803792-5 5.248075-1 7.309498-5 5.888437-1 5.489293-5 6.531306-1 4.271037-5 7.244360-1 3.345384-5 8.128305-1 2.569881-5 8.912509-1 2.091921-5 9.660509-1 1.758678-5 1.047129+0 1.489082-5 1.148154+0 1.239733-5 1.273503+0 1.016319-5 1.428894+0 8.215123-6 1.659587+0 6.283457-6 1.905461+0 4.943468-6 2.162719+0 3.995231-6 2.454709+0 3.252664-6 2.818383+0 2.619244-6 3.273407+0 2.087745-6 3.801894+0 1.676670-6 4.466836+0 1.334611-6 5.248075+0 1.070439-6 6.237348+0 8.515271-7 7.498942+0 6.722009-7 9.015711+0 5.347272-7 1.135011+1 4.049437-7 1.462177+1 3.013112-7 1.905461+1 2.232224-7 2.540973+1 1.624763-7 3.427678+1 1.176005-7 5.069907+1 7.772783-8 7.852356+1 4.935785-8 1.500000+2 2.544900-8 2.985383+2 1.268230-8 5.956621+2 6.329784-9 4.731513+3 7.93838-10 1.000000+5 3.75300-11 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 5.460000-6 5.460000-6 1.000000+5 5.460000-6 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 5.460000-6 0.0 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 4.300000-6 1.376881+7 5.432503-6 8.145926+6 6.683439-6 5.076171+6 8.222426-6 3.138518+6 9.885531-6 2.031931+6 1.174898-5 1.340792+6 1.350000-5 9.529138+5 1.548817-5 6.750537+5 1.778279-5 4.735127+5 2.018366-5 3.397360+5 2.344229-5 2.276411+5 2.754229-5 1.466529+5 3.388442-5 8.257057+4 4.897788-5 2.951740+4 5.559043-5 2.084230+4 6.165950-5 1.578259+4 6.683439-5 1.279691+4 7.161434-5 1.075843+4 7.673615-5 9.103148+3 8.222426-5 7.762238+3 8.709636-5 6.839928+3 9.332543-5 5.920615+3 9.900000-5 5.267916+3 1.059254-4 4.640787+3 1.140000-4 4.075155+3 1.230269-4 3.590021+3 1.318257-4 3.221547+3 1.428894-4 2.859833+3 1.531087-4 2.597903+3 1.659587-4 2.338757+3 1.819701-4 2.089021+3 2.041738-4 1.828736+3 2.426610-4 1.512019+3 3.000000-4 1.199974+3 3.589219-4 9.717408+2 4.315191-4 7.764751+2 5.688529-4 5.491987+2 6.382635-4 4.724042+2 7.244360-4 3.972461+2 9.015711-4 2.908985+2 1.047129-3 2.338851+2 1.202264-3 1.898050+2 1.396368-3 1.502470+2 1.640590-3 1.159034+2 1.927525-3 8.872064+1 2.238721-3 6.872324+1 2.570396-3 5.388414+1 2.951209-3 4.193592+1 3.388442-3 3.239047+1 3.890451-3 2.482634+1 4.466836-3 1.888029+1 5.128614-3 1.424561+1 5.888437-3 1.066367+1 6.683439-3 8.119949+0 7.585776-3 6.141434+0 8.609938-3 4.613651+0 9.772372-3 3.442502+0 1.109175-2 2.551250+0 1.258925-2 1.877951+0 1.428894-2 1.373003+0 1.621810-2 9.970159-1 1.862087-2 6.978470-1 2.113489-2 4.996622-1 2.426610-2 3.446122-1 2.786121-2 2.359140-1 3.198895-2 1.603288-1 3.715352-2 1.046839-1 4.315191-2 6.782321-2 5.069907-2 4.215706-2 6.000000-2 2.544500-2 7.161434-2 1.484610-2 8.810489-2 7.836198-3 1.083927-1 4.108603-3 1.717908-1 9.709818-4 2.137962-1 4.926289-4 2.511886-1 3.007508-4 2.884032-1 1.983244-4 3.273407-1 1.362959-4 3.715352-1 9.436490-5 4.168694-1 6.805407-5 4.623810-1 5.104880-5 5.128614-1 3.855291-5 5.688529-1 2.932763-5 6.237348-1 2.314702-5 6.918310-1 1.787170-5 7.585776-1 1.429718-5 8.609938-1 1.060253-5 9.225714-1 9.061471-6 9.885531-1 7.797847-6 1.071519+0 6.603241-6 1.174898+0 5.500567-6 1.288250+0 4.615543-6 1.445440+0 3.739991-6 1.717908+0 2.751200-6 1.972423+0 2.168235-6 2.238721+0 1.755913-6 2.540973+0 1.432303-6 2.917427+0 1.155494-6 3.388442+0 9.226005-7 3.935501+0 7.422009-7 4.623810+0 5.917631-7 5.432503+0 4.753620-7 6.531306+0 3.730861-7 7.852356+0 2.950841-7 9.660509+0 2.286481-7 1.174898+1 1.808245-7 1.548817+1 1.311900-7 2.041738+1 9.614163-8 2.786121+1 6.836269-8 3.890451+1 4.780282-8 5.688529+1 3.205815-8 9.332543+1 1.922438-8 1.778279+2 9.959060-9 3.548134+2 4.956962-9 1.412538+3 1.238539-9 1.000000+5 1.74580-11 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 4.300000-6 4.300000-6 1.000000+5 4.300000-6 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 4.300000-6 0.0 1.000000+5 1.000000+5 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 5.847650-7 1.025800+0 1.053870-6 1.026100+0 1.322210-6 1.026600+0 1.864000-6 1.027100+0 2.536020-6 1.027500+0 3.176330-6 1.028100+0 4.324520-6 1.028750+0 5.847650-6 1.029500+0 8.002660-6 1.030100+0 1.006430-5 1.031000+0 1.377140-5 1.032000+0 1.884280-5 1.033200+0 2.639550-5 1.034000+0 3.240290-5 1.035300+0 4.398240-5 1.036640+0 5.847650-5 1.038200+0 7.891590-5 1.039700+0 1.025280-4 1.041500+0 1.364120-4 1.043800+0 1.893440-4 1.046400+0 2.634370-4 1.048300+0 3.279860-4 1.051200+0 4.449060-4 1.054080+0 5.847650-4 1.057700+0 7.970730-4 1.061100+0 1.036790-3 1.065100+0 1.372600-3 1.070400+0 1.914920-3 1.076200+0 2.646420-3 1.080600+0 3.304950-3 1.087100+0 4.452850-3 1.093710+0 5.847650-3 1.102600+0 8.107550-3 1.110700+0 1.057360-2 1.120600+0 1.414390-2 1.133300+0 1.966560-2 1.147500+0 2.715160-2 1.158200+0 3.374260-2 1.174100+0 4.509940-2 1.190110+0 5.847650-2 1.205100+0 7.279800-2 1.227500+0 9.744130-2 1.250000+0 1.259000-1 1.265600+0 1.476180-1 1.294900+0 1.923800-1 1.331800+0 2.551450-1 1.362600+0 3.121080-1 1.397000+0 3.796390-1 1.433800+0 4.555760-1 1.477900+0 5.506670-1 1.500000+0 5.998000-1 1.562500+0 7.432910-1 1.617200+0 8.732650-1 1.712900+0 1.106390+0 1.784700+0 1.283900+0 1.892300+0 1.550210+0 2.000000+0 1.815000+0 2.044000+0 1.922000+0 2.163500+0 2.207710+0 2.372600+0 2.688770+0 2.686300+0 3.364620+0 3.000000+0 3.992000+0 3.500000+0 4.910770+0 4.000000+0 5.747000+0 5.000000+0 7.217000+0 6.000000+0 8.484000+0 7.000000+0 9.598000+0 8.000000+0 1.060000+1 9.000000+0 1.152000+1 1.000000+1 1.236000+1 1.100000+1 1.313000+1 1.200000+1 1.386000+1 1.300000+1 1.454000+1 1.400000+1 1.517000+1 1.500000+1 1.576000+1 1.600000+1 1.631000+1 1.800000+1 1.731000+1 2.000000+1 1.819000+1 2.200000+1 1.900000+1 2.400000+1 1.973000+1 2.600000+1 2.041000+1 2.800000+1 2.102000+1 3.000000+1 2.159000+1 4.000000+1 2.390000+1 5.000000+1 2.562000+1 6.000000+1 2.695000+1 8.000000+1 2.891000+1 1.000000+2 3.029000+1 1.500000+2 3.247000+1 2.000000+2 3.376000+1 3.000000+2 3.526000+1 4.000000+2 3.611000+1 5.000000+2 3.668000+1 6.000000+2 3.708000+1 8.000000+2 3.761000+1 1.000000+3 3.795000+1 1.500000+3 3.845000+1 2.000000+3 3.872000+1 3.000000+3 3.902000+1 4.000000+3 3.917000+1 5.000000+3 3.927000+1 6.000000+3 3.934000+1 8.000000+3 3.943000+1 1.000000+4 3.949000+1 1.500000+4 3.957000+1 2.000000+4 3.961000+1 3.000000+4 3.966000+1 4.000000+4 3.968000+1 5.000000+4 3.969000+1 6.000000+4 3.970000+1 8.000000+4 3.972000+1 1.000000+5 3.973000+1 1 81000 7 8 2.043700+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 8.108510-7 2.090400+0 1.100930-6 2.094700+0 1.427530-6 2.099900+0 1.899120-6 2.106600+0 2.641840-6 2.114000+0 3.655320-6 2.119500+0 4.550850-6 2.127900+0 6.171810-6 2.136250+0 8.108510-6 2.147000+0 1.111730-5 2.156900+0 1.444010-5 2.169000+0 1.927120-5 2.184500+0 2.678760-5 2.201800+0 3.706140-5 2.214800+0 4.617570-5 2.234200+0 6.211440-5 2.253680+0 8.108510-5 2.281500+0 1.135740-4 2.307000+0 1.491790-4 2.338200+0 2.005840-4 2.377400+0 2.777840-4 2.410200+0 3.532950-4 2.446800+0 4.494110-4 2.485900+0 5.658330-4 2.532900+0 7.241460-4 2.556430+0 8.108510-4 2.611900+0 1.033930-3 2.660400+0 1.249970-3 2.745300+0 1.673020-3 2.809000+0 2.026140-3 2.904500+0 2.610180-3 3.000000+0 3.258000-3 3.125000+0 4.200840-3 3.234400+0 5.111120-3 3.425800+0 6.881680-3 3.569300+0 8.343510-3 3.784700+0 1.072310-2 4.000000+0 1.328000-2 4.250000+0 1.640470-2 4.625000+0 2.131230-2 5.000000+0 2.641000-2 5.500000+0 3.340070-2 6.000000+0 4.048000-2 6.750000+0 5.100870-2 7.000000+0 5.447000-2 8.000000+0 6.799000-2 9.000000+0 8.090000-2 1.000000+1 9.314000-2 1.100000+1 1.047000-1 1.200000+1 1.156000-1 1.300000+1 1.258000-1 1.400000+1 1.355000-1 1.500000+1 1.447000-1 1.600000+1 1.534000-1 1.800000+1 1.695000-1 2.000000+1 1.841000-1 2.200000+1 1.974000-1 2.400000+1 2.096000-1 2.600000+1 2.208000-1 2.800000+1 2.312000-1 3.000000+1 2.408000-1 4.000000+1 2.804000-1 5.000000+1 3.102000-1 6.000000+1 3.336000-1 8.000000+1 3.685000-1 1.000000+2 3.936000-1 1.500000+2 4.347000-1 2.000000+2 4.600000-1 3.000000+2 4.907000-1 4.000000+2 5.089000-1 5.000000+2 5.212000-1 6.000000+2 5.302000-1 8.000000+2 5.425000-1 1.000000+3 5.507000-1 1.500000+3 5.628000-1 2.000000+3 5.696000-1 3.000000+3 5.770000-1 4.000000+3 5.813000-1 5.000000+3 5.840000-1 6.000000+3 5.858000-1 8.000000+3 5.883000-1 1.000000+4 5.898000-1 1.500000+4 5.919000-1 2.000000+4 5.932000-1 3.000000+4 5.943000-1 4.000000+4 5.951000-1 5.000000+4 5.956000-1 6.000000+4 5.958000-1 8.000000+4 5.961000-1 1.000000+5 5.964000-1 1 81000 7 8 2.043700+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 81000 7 9 2.043700+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 8.100000+1 1.000000+5 8.100000+1 5.000000+5 8.097300+1 7.500000+5 8.094900+1 9.375000+5 8.093580+1 1.000000+6 8.093200+1 1.500000+6 8.087300+1 2.000000+6 8.077600+1 2.500000+6 8.065200+1 3.000000+6 8.050300+1 3.500000+6 8.032810+1 4.000000+6 8.013300+1 4.500000+6 7.992100+1 5.000000+6 7.968700+1 5.687500+6 7.932410+1 6.437500+6 7.889440+1 6.500000+6 7.885450+1 7.000000+6 7.854900+1 7.500000+6 7.822390+1 8.250000+6 7.772980+1 9.000000+6 7.721400+1 1.000000+7 7.649500+1 1.109400+7 7.567900+1 1.250000+7 7.459300+1 1.375000+7 7.359470+1 1.500000+7 7.260400+1 1.687500+7 7.110240+1 1.750000+7 7.060800+1 2.000000+7 6.859600+1 2.250000+7 6.658320+1 2.500000+7 6.459000+1 2.875000+7 6.165960+1 3.000000+7 6.071200+1 3.437500+7 5.748390+1 3.750000+7 5.531180+1 4.000000+7 5.365700+1 4.500000+7 5.057360+1 4.750000+7 4.913850+1 5.000000+7 4.778000+1 5.750000+7 4.406800+1 6.000000+7 4.294400+1 6.750000+7 3.983470+1 7.000000+7 3.887600+1 7.750000+7 3.617160+1 8.000000+7 3.532200+1 8.750000+7 3.288660+1 9.000000+7 3.211400+1 9.750000+7 2.989120+1 1.000000+8 2.918500+1 1.062500+8 2.748710+1 1.156300+8 2.515890+1 1.250000+8 2.310300+1 1.437500+8 1.978590+1 1.500000+8 1.890900+1 1.625000+8 1.745330+1 1.750000+8 1.627790+1 1.812500+8 1.576580+1 2.000000+8 1.443400+1 2.250000+8 1.298880+1 2.500000+8 1.181900+1 2.671900+8 1.111770+1 2.789100+8 1.063250+1 2.875000+8 1.025490+1 2.894500+8 1.016610+1 2.973600+8 9.793550+0 3.000000+8 9.664400+0 3.062500+8 9.350620+0 3.335900+8 8.068620+0 3.445300+8 7.673500+0 3.500000+8 7.509400+0 3.562500+8 7.350620+0 4.000000+8 6.546000+0 4.125000+8 6.266250+0 4.234400+8 6.011550+0 4.425800+8 5.604670+0 4.750000+8 5.010490+0 4.784700+8 4.953010+0 4.928200+8 4.726340+0 5.000000+8 4.619200+0 5.125000+8 4.478360+0 5.343800+8 4.280110+0 5.835900+8 3.932640+0 6.000000+8 3.819200+0 6.250000+8 3.636650+0 6.812500+8 3.249860+0 7.000000+8 3.142500+0 7.625000+8 2.848640+0 7.875000+8 2.729760+0 8.000000+8 2.666400+0 8.250000+8 2.530240+0 8.468800+8 2.406990+0 8.851600+8 2.196780+0 9.569300+8 1.863230+0 9.856400+8 1.759520+0 1.000000+9 1.714200+0 1.031300+9 1.630560+0 1.060500+9 1.567340+0 1.100900+9 1.497910+0 1.137900+9 1.448230+0 1.183200+9 1.400440+0 1.222800+9 1.367020+0 1.375000+9 1.274650+0 1.500000+9 1.207600+0 1.562500+9 1.170260+0 1.617200+9 1.135820+0 1.712900+9 1.073590+0 1.784700+9 1.026640+0 1.892300+9 9.578090-1 2.000000+9 8.922100-1 2.139200+9 8.135550-1 2.272600+9 7.447720-1 2.443000+9 6.657450-1 2.602800+9 6.000690-1 2.750000+9 5.459910-1 2.822900+9 5.212900-1 3.024800+9 4.594460-1 3.271700+9 3.952520-1 3.487700+9 3.477260-1 3.759500+9 2.973920-1 3.986900+9 2.619610-1 4.348700+9 2.156700-1 4.674400+9 1.823640-1 5.000000+9 1.552100-1 5.375000+9 1.298810-1 5.703100+9 1.118580-1 6.277300+9 8.732090-2 7.031000+9 6.468440-2 8.000000+9 4.563700-2 1.00000+10 2.474900-2 2.57610+10 1.835380-3 4.80320+10 3.334340-4 7.40160+10 1.026940-4 1.00000+11 4.542500-5 1.34280+11 2.050280-5 2.20600+11 5.409450-6 4.19930+11 9.734600-7 1.03480+12 8.992400-8 3.24440+12 4.519030-9 1.00000+14 6.22680-13 3.16230+15 7.68022-17 1.00000+17 9.00600-21 1 81000 7 0 2.043700+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 7.30000-12 1.000000+2 7.30000-10 1.000000+3 7.300000-8 1.000000+4 7.300000-6 1.000000+5 7.300000-4 5.000000+5 1.825000-2 7.500000+5 4.106250-2 9.375000+5 6.416016-2 1.000000+6 7.300000-2 1.500000+6 1.620000-1 2.000000+6 2.848000-1 2.500000+6 4.387000-1 3.000000+6 6.210000-1 3.500000+6 8.288190-1 4.000000+6 1.058900+0 4.500000+6 1.307990+0 5.000000+6 1.573000+0 5.687500+6 1.957950+0 6.437500+6 2.397800+0 6.500000+6 2.435220+0 7.000000+6 2.737000+0 7.500000+6 3.042050+0 8.250000+6 3.503240+0 9.000000+6 3.964700+0 1.000000+7 4.575000+0 1.109400+7 5.232000+0 1.250000+7 6.056300+0 1.375000+7 6.767420+0 1.500000+7 7.460000+0 1.687500+7 8.469540+0 1.750000+7 8.799900+0 2.000000+7 1.009600+1 2.250000+7 1.136260+1 2.500000+7 1.260800+1 2.875000+7 1.443880+1 3.000000+7 1.504100+1 3.437500+7 1.710900+1 3.750000+7 1.855850+1 4.000000+7 1.970200+1 4.500000+7 2.194750+1 4.750000+7 2.304540+1 5.000000+7 2.412700+1 5.750000+7 2.722160+1 6.000000+7 2.819700+1 6.750000+7 3.091080+1 7.000000+7 3.175000+1 7.750000+7 3.406280+1 8.000000+7 3.477700+1 8.750000+7 3.676590+1 9.000000+7 3.739000+1 9.750000+7 3.915670+1 1.000000+8 3.972400+1 1.062500+8 4.108580+1 1.156300+8 4.301800+1 1.250000+8 4.484400+1 1.437500+8 4.822510+1 1.500000+8 4.928300+1 1.625000+8 5.129150+1 1.750000+8 5.317080+1 1.812500+8 5.405590+1 2.000000+8 5.652800+1 2.250000+8 5.938060+1 2.500000+8 6.177900+1 2.671900+8 6.319290+1 2.789100+8 6.405740+1 2.875000+8 6.465560+1 2.894500+8 6.478350+1 2.973600+8 6.529310+1 3.000000+8 6.546100+1 3.062500+8 6.583460+1 3.335900+8 6.732790+1 3.445300+8 6.785840+1 3.500000+8 6.811600+1 3.562500+8 6.839400+1 4.000000+8 7.012900+1 4.125000+8 7.055560+1 4.234400+8 7.092050+1 4.425800+8 7.151330+1 4.750000+8 7.241990+1 4.784700+8 7.250940+1 4.928200+8 7.287390+1 5.000000+8 7.305300+1 5.125000+8 7.334650+1 5.343800+8 7.383540+1 5.835900+8 7.481730+1 6.000000+8 7.511700+1 6.250000+8 7.553470+1 6.812500+8 7.634800+1 7.000000+8 7.659200+1 7.625000+8 7.727440+1 7.875000+8 7.751080+1 8.000000+8 7.762000+1 8.250000+8 7.781520+1 8.468800+8 7.798160+1 8.851600+8 7.823550+1 9.569300+8 7.862670+1 9.856400+8 7.876050+1 1.000000+9 7.882600+1 1.031300+9 7.895060+1 1.060500+9 7.906370+1 1.100900+9 7.919530+1 1.137900+9 7.931090+1 1.183200+9 7.944290+1 1.222800+9 7.954190+1 1.375000+9 7.986040+1 1.500000+9 8.006300+1 1.562500+9 8.014570+1 1.617200+9 8.021550+1 1.712900+9 8.033230+1 1.784700+9 8.040790+1 1.892300+9 8.050350+1 2.000000+9 8.059400+1 2.139200+9 8.068020+1 2.272600+9 8.074460+1 2.443000+9 8.081230+1 2.602800+9 8.086360+1 2.750000+9 8.089740+1 2.822900+9 8.091340+1 3.024800+9 8.093910+1 3.271700+9 8.096580+1 3.487700+9 8.098020+1 3.759500+9 8.098730+1 3.986900+9 8.099290+1 4.348700+9 8.099740+1 4.674400+9 8.099670+1 5.000000+9 8.099600+1 5.375000+9 8.099660+1 5.703100+9 8.099710+1 6.277300+9 8.099790+1 7.031000+9 8.099890+1 8.000000+9 8.100000+1 1.00000+10 8.100000+1 2.57610+10 8.100000+1 4.80320+10 8.100000+1 7.40160+10 8.100000+1 1.00000+11 8.100000+1 1.34280+11 8.100000+1 2.20600+11 8.100000+1 4.19930+11 8.100000+1 1.03480+12 8.100000+1 3.24440+12 8.100000+1 1.00000+14 8.100000+1 3.16230+15 8.100000+1 1.00000+17 8.100000+1 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.140088-6 0.0 1.142894-6 2.014843-7 1.145701-6 3.986818-7 1.148507-6 7.282249-7 1.151313-6 1.227887-6 1.154119-6 1.911196-6 1.156925-6 2.746034-6 1.159731-6 3.642173-6 1.162538-6 4.459324-6 1.165344-6 5.040010-6 1.168150-6 5.258329-6 1.170956-6 5.064283-6 1.173762-6 4.502381-6 1.176569-6 3.695050-6 1.182181-6 1.957666-6 1.184987-6 1.263801-6 1.187793-6 7.531350-7 1.190599-6 4.143057-7 1.193406-6 2.103890-7 1.196212-6 0.0 1.565126-6 0.0 1.570905-6 4.620465-1 1.572831-6 6.141083-1 1.576683-6 1.121719+0 1.580536-6 1.891372+0 1.584870-6 3.104309+0 1.591619-6 5.440003+0 1.596186-6 6.924687+0 1.600151-6 7.794172+0 1.604172-6 8.059245+0 1.608126-6 7.660944+0 1.612047-6 6.712218+0 1.618111-6 4.652083+0 1.622912-6 3.015485+0 1.626764-6 1.946692+0 1.630617-6 1.160089+0 1.634469-6 6.381746-1 1.640247-6 1.622266-1 1.642174-6 0.0 2.389261-6 0.0 2.395142-6 2.143774-7 2.401023-6 4.241937-7 2.406904-6 7.748244-7 2.412785-6 1.306460-6 2.418666-6 2.033495-6 2.424547-6 2.921755-6 2.430427-6 3.875238-6 2.436308-6 4.744679-6 2.442189-6 5.362524-6 2.448070-6 5.594813-6 2.453951-6 5.388350-6 2.459832-6 4.790491-6 2.465713-6 3.931499-6 2.477474-6 2.082938-6 2.483355-6 1.344672-6 2.489236-6 8.013286-7 2.495117-6 4.408174-7 2.500998-6 2.238520-7 2.506879-6 0.0 2.551371-6 0.0 2.557651-6 1.552953-7 2.563931-6 3.072865-7 2.570211-6 5.612839-7 2.576491-6 9.464018-7 2.582771-6 1.473067-6 2.589050-6 2.116523-6 2.595330-6 2.807228-6 2.601610-6 3.437052-6 2.607890-6 3.884620-6 2.614170-6 4.052890-6 2.620450-6 3.903328-6 2.626730-6 3.470238-6 2.633010-6 2.847983-6 2.645569-6 1.508883-6 2.651849-6 9.740826-7 2.658129-6 5.804835-7 2.664409-6 3.193288-7 2.670689-6 1.621587-7 2.676969-6 0.0 2.705215-6 0.0 2.716867-6 1.896464-1 2.718532-6 2.164623-1 2.719825-6 2.511467-1 2.725349-6 4.745837-1 2.733214-6 1.825662+0 2.738765-6 2.887868+0 2.745473-6 4.824235+0 2.752181-6 7.526532+0 2.762398-6 1.298465+1 2.773381-6 1.934241+1 2.780690-6 2.260783+1 2.787712-6 2.422770+1 2.794406-6 2.404034+1 2.801534-6 2.195255+1 2.808843-6 1.831420+1 2.820243-6 1.154486+1 2.826937-6 7.917151+0 2.832679-6 5.336769+0 2.839387-6 3.108717+0 2.846095-6 1.703357+0 2.853715-6 7.017584-1 2.859511-6 0.0 2.950009-6 0.0 2.957270-6 2.414327-2 2.964531-6 4.777287-2 2.971792-6 8.726106-2 2.979054-6 1.471341-1 2.986315-6 2.290131-1 2.998114-6 3.961024-1 3.008098-6 5.343478-1 3.015359-6 6.039297-1 3.022620-6 6.300902-1 3.029881-6 6.068383-1 3.037142-6 5.395071-1 3.048034-6 3.891652-1 3.058925-6 2.345814-1 3.066186-6 1.514376-1 3.073448-6 9.024596-2 3.080709-6 4.964505-2 3.087970-6 2.521030-2 3.095231-6 0.0 3.361228-6 0.0 3.361237-6 9.77192-11 3.363570-6 1.636878-7 3.366615-6 8.725185-3 3.383188-6 4.785343-1 3.391475-6 8.696845-1 3.399761-6 1.459536+0 3.408727-6 2.342886+0 3.429802-6 4.871201+0 3.441065-6 5.867689+0 3.450142-6 6.094459+0 3.459108-6 5.764008+0 3.467285-6 5.061979+0 3.491563-6 2.213611+0 3.499199-6 1.494790+0 3.507485-6 9.332979-1 3.515772-6 5.760062-1 3.529350-6 2.370013-1 3.532345-6 1.686112-1 3.542749-6 1.985710-1 3.551280-6 2.071725-1 3.559811-6 1.995274-1 3.568342-6 1.773890-1 3.593935-6 7.712995-2 3.602466-6 4.979241-2 3.610997-6 2.967271-2 3.619528-6 1.632320-2 3.631792-6 4.667417-3 3.636590-6 2.62678-14 3.660043-6 1.19811-14 3.661438-6 5.535287-8 3.663156-6 1.921419-3 3.681189-6 2.011933-1 3.690205-6 3.665276-1 3.699222-6 6.165027-1 3.709256-6 1.005808+0 3.729934-6 1.973647+0 3.736948-6 2.283208+0 3.745131-6 2.530922+0 3.754276-6 2.625247+0 3.763282-6 2.517300+0 3.774676-6 2.135924+0 3.798402-6 1.058938+0 3.807837-6 7.078106-1 3.816741-6 4.578759-1 3.824319-6 3.088642-1 3.825913-6 2.900143-1 3.843180-6 1.622275-1 3.843484-6 1.601652-1 3.852656-6 2.295765-1 3.859913-6 3.212310-1 3.861972-6 4.052564-1 3.877723-6 1.155384+0 3.878915-6 1.215241+0 3.889237-6 1.958965+0 3.899877-6 2.986650+0 3.927863-6 6.333597+0 3.939209-6 7.349827+0 3.948266-6 7.777288+0 3.957626-6 7.747211+0 3.967448-6 7.208521+0 3.978826-6 6.105956+0 4.001165-6 3.572236+0 4.012581-6 2.519266+0 4.021425-6 1.947572+0 4.030925-6 1.521575+0 4.049927-6 9.438562-1 4.071674-6 9.025105-1 4.093873-6 9.061114-1 4.123362-6 9.604009-1 4.176326-6 1.227576+0 4.195839-6 1.242458+0 4.210092-6 1.174022+0 4.247496-6 8.938751-1 4.268334-6 7.965015-1 4.290831-6 7.628914-1 4.375778-6 8.169855-1 4.504314-6 8.053388-1 4.527820-6 1.001368+0 4.537607-6 1.135300+0 4.549991-6 1.399548+0 4.560901-6 1.714081+0 4.592686-6 2.802725+0 4.605580-6 3.073969+0 4.616665-6 3.138360+0 4.627871-6 3.019167+0 4.640292-6 2.702202+0 4.669936-6 1.714203+0 4.682407-6 1.395120+0 4.693492-6 1.193590+0 4.704577-6 1.062980+0 4.726038-6 8.916588-1 4.753442-6 8.474492-1 4.798791-6 7.595064-1 4.808223-6 7.739892-1 4.825814-6 8.251198-1 4.839105-6 9.034616-1 4.850924-6 1.013464+0 4.865938-6 1.211481+0 4.896812-6 1.678060+0 4.910318-6 1.808108+0 4.922593-6 1.842538+0 4.935537-6 1.781356+0 4.948991-6 1.628222+0 4.978802-6 1.213872+0 4.993047-6 1.072276+0 5.003691-6 1.009596+0 5.017663-6 9.959464-1 5.038970-6 1.061967+0 5.074216-6 1.316236+0 5.087038-6 1.353804+0 5.104312-6 1.339493+0 5.151334-6 1.204912+0 5.189462-6 1.213774+0 5.357049-6 1.174125+0 5.430475-6 1.139424+0 5.552831-6 1.136636+0 6.757210-6 9.285191-1 6.790474-6 4.263436+0 6.807106-6 7.021626+0 6.823738-6 1.120489+1 6.842449-6 1.779861+1 6.890266-6 3.826506+1 6.908425-6 4.329433+1 6.924728-6 4.483648+1 6.942854-6 4.256488+1 6.959783-6 3.740300+1 6.988012-6 2.527057+1 7.006690-6 1.729221+1 7.023322-6 1.147739+1 7.039954-6 7.197247+0 7.056586-6 4.356542+0 7.089071-6 9.641656-1 7.089850-6 8.812577-1 7.897298-6 7.815690-1 7.936174-6 7.709135+0 7.955613-6 1.343682+1 7.975051-6 2.212235+1 7.996919-6 3.581125+1 8.030974-6 6.217217+1 8.054018-6 7.892834+1 8.075388-6 8.900598+1 8.093120-6 9.193738+1 8.112903-6 8.791586+1 8.134049-6 7.652144+1 8.167041-6 5.134464+1 8.188871-6 3.478824+1 8.208309-6 2.272213+1 8.227747-6 1.384127+1 8.247186-6 7.948129+0 8.276343-6 2.572866+0 8.286062-6 7.407325-1 9.928236-6 5.982721-1 1.028651-5 5.729557-1 1.033715-5 6.295899-1 1.036247-5 6.775408-1 1.038779-5 7.511445-1 1.042201-5 8.968833-1 1.044935-5 1.040354+0 1.050096-5 1.818072+0 1.053004-5 2.414121+0 1.055662-5 3.143919+0 1.058573-5 4.163336+0 1.064976-5 6.682797+0 1.068254-5 7.545527+0 1.070751-5 7.706731+0 1.073624-5 7.260293+0 1.075975-5 6.502247+0 1.083449-5 3.156208+0 1.086021-5 2.226382+0 1.088593-5 1.541632+0 1.091165-5 1.086754+0 1.096308-5 5.292870-1 1.113825-5 5.187314-1 1.119807-5 5.310797-1 1.125320-5 7.149054-1 1.128076-5 8.669403-1 1.130832-5 1.090172+0 1.134422-5 1.492667+0 1.141367-5 2.358358+0 1.144614-5 2.643020+0 1.147715-5 2.692245+0 1.150585-5 2.555660+0 1.154493-5 2.167727+0 1.159343-5 1.605145+0 1.161422-5 1.397333+0 1.164185-5 1.213490+0 1.166928-5 1.136756+0 1.169759-5 1.155643+0 1.175886-5 1.362526+0 1.178745-5 1.493581+0 1.181517-5 1.567467+0 1.184180-5 1.595541+0 1.195773-5 1.450238+0 1.222552-5 1.370835+0 1.242931-5 1.340237+0 1.262998-5 1.233658+0 1.374153-5 9.871511-1 1.501034-5 7.844470-1 1.529259-5 7.480475-1 1.536787-5 3.090145+0 1.540551-5 5.029083+0 1.544316-5 7.971326+0 1.548550-5 1.261042+1 1.559372-5 2.701170+1 1.563745-5 3.063933+1 1.567172-5 3.163243+1 1.571010-5 3.026256+1 1.575105-5 2.639378+1 1.581493-5 1.784800+1 1.585720-5 1.222823+1 1.589484-5 8.131955+0 1.593249-5 5.116127+0 1.597013-5 3.113874+0 1.604306-5 7.406106-1 1.604541-5 6.626459-1 1.653062-5 6.150624-1 1.661200-5 2.461672+0 1.665268-5 3.990530+0 1.669591-5 6.508562+0 1.673660-5 9.726847+0 1.681215-5 1.719115+1 1.686566-5 2.193693+1 1.690373-5 2.417733+1 1.694505-5 2.484846+1 1.698596-5 2.361709+1 1.703110-5 2.037476+1 1.714094-5 9.666663+0 1.718163-5 6.436431+0 1.722232-5 4.058199+0 1.726300-5 2.479230+0 1.734438-5 5.461557-1 1.767076-5 5.219920-1 1.775775-5 7.485716-1 1.780124-5 9.379043-1 1.784473-5 1.230330+0 1.789911-5 1.980785+0 1.793857-5 2.615460+0 1.801419-5 4.142039+0 1.811335-5 6.229506+0 1.816596-5 6.988515+0 1.820404-5 7.293398+0 1.825300-5 7.233344+0 1.829653-5 6.807549+0 1.834549-5 5.949140+0 1.846517-5 3.196263+0 1.850869-5 2.308290+0 1.854437-5 1.685822+0 1.859054-5 1.169405+0 1.863446-5 9.078967-1 1.868488-5 7.572605-1 1.872230-5 6.771049-1 1.874209-5 7.380928-1 1.877641-5 8.621105-1 1.882217-5 1.089639+0 1.897020-5 2.025277+0 1.900523-5 2.201265+0 1.905100-5 2.325135+0 1.911381-5 2.301690+0 1.926990-5 1.932204+0 1.933543-5 1.865149+0 1.961916-5 1.898392+0 1.981357-5 1.778166+0 1.989565-5 1.710409+0 2.006221-5 1.722704+0 2.015880-5 1.957473+0 2.021567-5 2.180664+0 2.027394-5 2.524577+0 2.033619-5 3.008677+0 2.047964-5 4.233678+0 2.050517-5 4.407509+0 2.055370-5 4.591532+0 2.061542-5 4.544260+0 2.066087-5 4.348504+0 2.073999-5 3.775727+0 2.084995-5 2.891667+0 2.091890-5 2.496512+0 2.097151-5 2.313715+0 2.104745-5 2.154166+0 2.111799-5 2.217558+0 2.122051-5 2.459085+0 2.138446-5 2.973131+0 2.143608-5 3.055800+0 2.155510-5 3.047693+0 2.173887-5 2.919406+0 2.266920-5 3.161348+0 2.373507-5 3.623524+0 2.485000-5 4.307404+0 2.598290-5 5.241631+0 2.701226-5 6.312107+0 2.836319-5 8.046471+0 2.986994-5 1.043962+1 3.257573-5 1.566533+1 3.649925-5 2.349857+1 3.900000-5 2.697132+1 4.177328-5 2.862174+1 4.506875-5 2.812709+1 5.153326-5 2.380769+1 6.053113-5 1.738284+1 6.669113-5 1.383723+1 7.348516-5 1.071116+1 7.425816-5 1.084077+1 7.512640-5 1.167889+1 7.548882-5 1.163558+1 7.635308-5 1.088713+1 9.035195-5 7.280553+0 9.476601-5 6.363374+0 9.691560-5 6.488932+0 1.032250-4 5.897449+0 1.184275-4 4.100237+0 1.246959-4 3.534805+0 1.299012-4 3.442591+0 1.315033-4 3.519127+0 1.326120-4 3.723100+0 1.337120-4 3.966304+0 1.347532-4 3.884282+0 1.359937-4 3.614379+0 1.372461-4 3.551638+0 1.401481-4 3.523550+0 1.550000-4 3.057226+0 1.621810-4 2.980866+0 1.690000-4 3.046616+0 1.758750-4 3.256861+0 1.845281-4 3.732485+0 1.942830-4 4.555555+0 2.044160-4 5.750361+0 2.139055-4 7.143227+0 2.380000-4 1.141407+1 2.800000-4 1.906688+1 3.030000-4 2.247098+1 3.367250-4 2.599836+1 3.750904-4 2.853459+1 3.820926-4 2.974427+1 3.948390-4 2.998236+1 4.024214-4 3.113661+1 4.915200-4 3.212857+1 5.935792-4 3.118053+1 6.060708-4 3.224839+1 8.191366-4 2.799507+1 8.363377-4 2.800616+1 1.080192-3 2.266432+1 1.349674-3 1.827609+1 1.627243-3 1.498299+1 1.975773-3 1.201523+1 2.333597-3 9.863092+0 2.353679-3 1.006798+1 2.364356-3 1.071675+1 2.373344-3 1.187322+1 2.382610-3 1.376507+1 2.408642-3 2.046866+1 2.423059-3 2.266661+1 2.445467-3 2.368443+1 2.469062-3 2.452063+1 2.488393-3 2.659563+1 2.518596-3 3.018755+1 2.549201-3 3.121078+1 2.674877-3 3.152751+1 2.837678-3 2.966371+1 2.909042-3 2.893174+1 2.981808-3 3.166116+1 3.372601-3 2.695821+1 3.459130-3 2.735729+1 3.633299-3 2.574872+1 3.746267-3 2.558796+1 4.395848-3 2.044816+1 4.983848-3 1.706634+1 5.704926-3 1.396263+1 6.568819-3 1.129854+1 7.371878-3 9.464753+0 8.438962-3 7.678780+0 9.515629-3 6.358309+0 1.092540-2 5.106752+0 1.233095-2 4.211280+0 1.244074-2 4.262321+0 1.249876-2 4.507151+0 1.254416-2 4.933825+0 1.259044-2 5.634414+0 1.273612-2 8.586590+0 1.279319-2 9.325240+0 1.286372-2 9.723751+0 1.306544-2 9.656889+0 1.445458-2 8.178111+0 1.459180-2 8.344793+0 1.469859-2 8.992710+0 1.483882-2 1.013546+1 1.497291-2 1.059157+1 1.523456-2 1.081756+1 1.547737-2 1.155753+1 1.607495-2 1.107976+1 1.855003-2 8.863749+0 2.140464-2 7.055759+0 2.449967-2 5.668761+0 2.760117-2 4.656298+0 3.148272-2 3.742605+0 3.595591-2 2.991851+0 4.084369-2 2.409089+0 4.613840-2 1.955365+0 5.231074-2 1.574155+0 5.908168-2 1.274517+0 6.646473-2 1.037497+0 7.512528-2 8.373376-1 8.349703-2 6.965991-1 8.412218-2 7.101435-1 8.443703-2 7.542060-1 8.470524-2 8.393216-1 8.490755-2 9.464194-1 8.514912-2 1.133027+0 8.543386-2 1.434389+0 8.618240-2 2.385541+0 8.653414-2 2.720575+0 8.697173-2 2.950409+0 8.767572-2 3.034620+0 1.027132-1 2.374500+0 1.152993-1 1.972598+0 1.319133-1 1.583076+0 1.462177-1 1.336051+0 1.654329-1 1.089522+0 1.864398-1 8.939555-1 2.089296-1 7.404013-1 2.344229-1 6.126584-1 2.639082-1 5.056381-1 2.952395-1 4.225382-1 3.318658-1 3.518729-1 3.755786-1 2.913374-1 4.222278-1 2.450742-1 4.817831-1 2.031540-1 5.433830-1 1.724409-1 6.170388-1 1.461773-1 6.998420-1 1.252120-1 8.054847-1 1.063758-1 9.265631-1 9.128002-2 1.120601+0 7.436273-2 1.286622+0 6.363551-2 1.477239+0 5.445574-2 1.696098+0 4.660021-2 1.947381+0 3.987788-2 2.246089+0 3.395819-2 2.567148+0 2.920252-2 2.947480+0 2.498990-2 3.384160+0 2.138497-2 3.885536+0 1.830008-2 4.461192+0 1.566019-2 5.122134+0 1.340112-2 5.880996+0 1.146794-2 6.752287+0 9.813628-3 7.754107+0 8.396280-3 8.901248+0 7.186508-3 9.760024+0 6.477599-3 1.000000+1 1.343268-2 1 81000 7 0 2.043700+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-8.084017+1 1.545270-6-7.924287+1 1.590197-6-7.616554+1 1.605254-6-8.061426+1 1.619059-6-7.651102+1 1.675733-6-8.010678+1 2.078877-6-8.062865+1 2.620450-6-7.812236+1 2.705215-6-7.462782+1 2.745473-6-6.748121+1 2.760829-6-6.629248+1 2.773381-6-6.963433+1 2.789593-6-8.044586+1 2.791698-6-8.042644+1 2.807272-6-6.995512+1 2.820243-6-6.668062+1 2.837919-6-6.869663+1 2.873659-6-7.537520+1 2.971792-6-7.939888+1 3.297006-6-8.078676+1 3.424458-6-7.810490+1 3.450142-6-8.134160+1 3.484622-6-7.798484+1 3.628059-6-8.135853+1 3.736948-6-8.001878+1 3.782243-6-8.105348+1 3.840217-6-8.043272+1 3.913449-6-7.760644+1 3.953708-6-8.114629+1 3.991958-6-7.721811+1 4.163091-6-8.058431+1 4.532367-6-8.102062+1 4.628972-6-8.079307+1 4.776116-6-8.122384+1 5.610602-6-8.062808+1 6.461926-6-7.581886+1 6.669543-6-7.125505+1 6.746317-6-6.612075+1 6.829455-6-5.345720+1 6.852909-6-5.265703+1 6.871587-6-5.513628+1 6.891305-6-6.171424+1 6.916921-6-7.472375+1 6.924728-6-7.950441+1 6.944597-6-7.152969+1 6.966711-6-6.216691+1 6.988012-6-5.748898+1 7.006690-6-5.692842+1 7.038135-6-6.050710+1 7.109358-6-7.144982+1 7.207800-6-7.710865+1 7.357088-6-8.104819+1 7.698090-6-7.269051+1 7.811975-6-6.636006+1 7.872169-6-5.952481+1 7.896304-6-5.418819+1 7.916736-6-4.855698+1 7.936174-6-4.358597+1 7.958042-6-3.707129+1 7.981733-6-3.130400+1 7.996919-6-2.939990+1 8.009144-6-2.976039+1 8.020609-6-3.158670+1 8.030974-6-3.500537+1 8.046653-6-4.321926+1 8.067116-6-5.928051+1 8.089512-6-8.070188+1 8.117753-6-5.177752+1 8.136042-6-3.714899+1 8.149995-6-2.936087+1 8.159866-6-2.543647+1 8.169433-6-2.321330+1 8.177937-6-2.221427+1 8.186137-6-2.202655+1 8.203450-6-2.407248+1 8.227747-6-3.024871+1 8.260246-6-3.940730+1 8.284847-6-4.561858+1 8.298652-6-4.964264+1 8.334578-6-5.523977+1 8.413951-6-6.171080+1 8.550675-6-6.702517+1 8.873715-6-7.206221+1 9.928236-6-7.699941+1 1.046317-5-8.035712+1 1.062894-5-8.087229+1 1.079048-5-7.372995+1 1.095022-5-7.539232+1 1.140258-5-7.882031+1 1.163494-5-7.747490+1 1.467497-5-8.168643+1 1.517224-5-7.753483+1 1.530708-5-7.310953+1 1.548550-5-6.549652+1 1.555145-5-6.732757+1 1.561372-5-7.434642+1 1.566448-5-8.229703+1 1.574663-5-6.870329+1 1.580104-5-6.383005+1 1.585720-5-6.293255+1 1.602659-5-7.061205+1 1.607321-5-7.314022+1 1.654263-5-8.122356+1 1.674554-5-7.446701+1 1.682599-5-7.676433+1 1.689851-5-8.269052+1 1.702624-5-6.754245+1 1.710285-5-6.357471+1 1.718671-5-6.458901+1 1.743857-5-7.315739+1 1.801419-5-8.046889+1 1.820404-5-7.769289+1 1.842233-5-7.378516+1 1.895795-5-7.860012+1 2.007598-5-8.042756+1 2.050517-5-8.085507+1 2.087464-5-7.905100+1 2.152419-5-8.068193+1 3.083386-5-8.777527+1 3.507519-5-8.603901+1 4.177328-5-7.415077+1 4.725511-5-6.511485+1 5.310167-5-5.971577+1 6.247818-5-5.616571+1 7.512640-5-5.624818+1 7.847688-5-5.736384+1 8.745015-5-5.648061+1 1.010680-4-5.807126+1 1.272133-4-6.012390+1 1.871416-4-6.684110+1 2.331491-4-7.147380+1 2.800000-4-7.065478+1 4.264561-4-5.619543+1 5.211309-4-4.758687+1 5.815313-4-4.412126+1 6.022052-4-4.391307+1 6.383144-4-4.050229+1 7.500000-4-3.500101+1 9.225714-4-2.964912+1 1.080192-3-2.681091+1 1.273733-3-2.503957+1 1.529567-3-2.437723+1 1.814243-3-2.527938+1 2.044357-3-2.754875+1 2.194068-3-3.054715+1 2.280999-3-3.376322+1 2.333597-3-3.740951+1 2.364356-3-4.188233+1 2.386121-3-4.552160+1 2.405250-3-4.562112+1 2.445467-3-4.131352+1 2.496645-3-4.095901+1 2.560474-3-3.457872+1 2.641725-3-2.986603+1 2.755181-3-2.531551+1 2.837678-3-2.339298+1 2.895626-3-2.324464+1 2.938495-3-2.388690+1 2.970383-3-2.267425+1 3.025788-3-1.986413+1 3.111050-3-1.758185+1 3.239867-3-1.551153+1 3.347394-3-1.466215+1 3.405934-3-1.466918+1 3.507122-3-1.287436+1 3.604271-3-1.195249+1 3.677374-3-1.170012+1 3.812951-3-9.888918+0 3.994055-3-8.462019+0 4.193196-3-7.352982+0 4.507194-3-6.142201+0 4.838241-3-5.306856+0 5.166527-3-4.744512+0 5.588747-3-4.315214+0 6.095369-3-4.054881+0 6.815750-3-3.960559+0 7.729030-3-4.140367+0 8.782574-3-4.573898+0 9.951868-3-5.310042+0 1.092540-2-6.220591+0 1.159205-2-7.191417+0 1.202219-2-8.213443+0 1.227522-2-9.238493+0 1.241272-2-1.024595+1 1.260738-2-1.258637+1 1.267617-2-1.275495+1 1.275971-2-1.201910+1 1.292328-2-9.974812+0 1.306544-2-8.998840+0 1.330683-2-8.112080+0 1.363207-2-7.504037+0 1.402732-2-7.270602+0 1.432335-2-7.483380+0 1.450832-2-8.014762+0 1.469859-2-8.903955+0 1.479886-2-8.850779+0 1.502043-2-7.742877+0 1.518096-2-7.456445+0 1.532377-2-7.284401+0 1.553484-2-6.346364+0 1.574037-2-5.514081+0 1.607495-2-4.682524+0 1.651546-2-3.930890+0 1.712971-2-3.184603+0 1.767625-2-2.692675+0 1.827574-2-2.275058+0 1.910354-2-1.841297+0 2.003614-2-1.481179+0 2.099728-2-1.213408+0 2.204354-2-1.004719+0 2.313399-2-8.517494-1 2.449967-2-7.238077-1 2.575024-2-6.508113-1 2.760117-2-5.993145-1 2.964137-2-5.859031-1 3.249870-2-6.153260-1 3.748705-2-7.351748-1 6.133048-2-1.481574+0 6.909373-2-1.776895+0 7.512528-2-2.092730+0 7.910841-2-2.416909+0 8.161438-2-2.751573+0 8.314403-2-3.096789+0 8.412218-2-3.499651+0 8.543386-2-4.415723+0 8.585718-2-4.486783+0 8.635626-2-4.256021+0 8.742273-2-3.406606+0 8.820081-2-3.008163+0 8.941416-2-2.628126+0 9.115690-2-2.278645+0 9.362734-2-1.956150+0 9.703459-2-1.653138+0 1.011579-1-1.409061+0 1.060531-1-1.214722+0 1.126224-1-1.039117+0 1.220672-1-8.821371-1 1.319133-1-7.896364-1 1.462177-1-7.207251-1 1.654329-1-6.872940-1 2.011315-1-6.931342-1 3.595682-1-8.208330-1 5.433830-1-8.920167-1 9.265631-1-9.383066-1 2.814822+0-9.608788-1 8.529517+0-9.656984-1 1.000000+1-9.644204-1 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 6.273607-3 1.084530-6 9.030119-3 1.156442-6 1.211391-2 1.189064-6 1.378393-2 1.219647-6 1.554393-2 1.302077-6 2.137225-2 1.349116-6 2.549972-2 1.390275-6 2.975036-2 1.457802-6 3.812298-2 1.485375-6 4.218178-2 1.533628-6 5.031740-2 1.569818-6 5.742814-2 1.637675-6 7.366032-2 1.694913-6 9.082168-2 1.740356-6 1.075960-1 1.761011-6 1.164442-1 1.800785-6 1.357422-1 1.838072-6 1.569823-1 1.873029-6 1.804655-1 1.905801-6 2.064268-1 1.938593-6 2.370117-1 1.965328-6 2.661007-1 1.992331-6 3.003297-1 2.017647-6 3.377850-1 2.041389-6 3.786110-1 2.063631-6 4.228766-1 2.084490-6 4.709745-1 2.104046-6 5.232895-1 2.122379-6 5.801720-1 2.139567-6 6.419739-1 2.155680-6 7.090824-1 2.170787-6 7.817984-1 2.188489-6 8.817763-1 2.198226-6 9.450725-1 2.210673-6 1.036613+0 2.222342-6 1.135468+0 2.233282-6 1.242087+0 2.243538-6 1.356925+0 2.253154-6 1.480467+0 2.262168-6 1.613222+0 2.270619-6 1.755719+0 2.278541-6 1.908505+0 2.285969-6 2.072152+0 2.292932-6 2.247260+0 2.299460-6 2.434466+0 2.305580-6 2.634459+0 2.311318-6 2.847983+0 2.316697-6 3.075868+0 2.321740-6 3.319053+0 2.326467-6 3.578630+0 2.330899-6 3.855873+0 2.335055-6 4.152262+0 2.338950-6 4.469452+0 2.342602-6 4.809204+0 2.349449-6 5.591169+0 2.355441-6 6.489397+0 2.360683-6 7.508118+0 2.365271-6 8.640407+0 2.369285-6 9.868481+0 2.372797-6 1.116661+1 2.376554-6 1.283182+1 2.380912-6 1.518679+1 2.384772-6 1.771612+1 2.397750-6 2.998296+1 2.401467-6 3.470266+1 2.403282-6 3.720968+1 2.406233-6 4.155990+1 2.409183-6 4.623329+1 2.415084-6 5.641211+1 2.415822-6 5.774785+1 2.420985-6 6.734250+1 2.423013-6 7.116983+1 2.426886-6 7.842057+1 2.429882-6 8.386227+1 2.432787-6 8.888145+1 2.435783-6 9.368707+1 2.438687-6 9.788012+1 2.441269-6 1.011454+2 2.444277-6 1.043181+2 2.447723-6 1.070167+2 2.450674-6 1.084645+2 2.451701-6 1.087734+2 2.454632-6 1.090881+2 2.457603-6 1.085458+2 2.458960-6 1.080123+2 2.461823-6 1.063157+2 2.464405-6 1.041476+2 2.468561-6 9.949975+1 2.470916-6 9.630160+1 2.472901-6 9.333252+1 2.474830-6 9.023909+1 2.477089-6 8.639394+1 2.479993-6 8.117126+1 2.482575-6 7.634132+1 2.485064-6 7.158476+1 2.488845-6 6.430959+1 2.491795-6 5.869437+1 2.495114-6 5.254992+1 2.497696-6 4.795493+1 2.503597-6 3.824855+1 2.505625-6 3.520665+1 2.507561-6 3.245486+1 2.509498-6 2.985475+1 2.512448-6 2.618729+1 2.516101-6 2.213538+1 2.520304-6 1.811864+1 2.524483-6 1.476188+1 2.531399-6 1.043150+1 2.542327-6 6.013002+0 2.547727-6 4.615123+0 2.550411-6 4.060060+0 2.553085-6 3.582974+0 2.555748-6 3.172437+0 2.558401-6 2.818520+0 2.561044-6 2.512663+0 2.563676-6 2.247541+0 2.568920-6 1.814808+0 2.574123-6 1.482336+0 2.579285-6 1.222454+0 2.584407-6 1.015843+0 2.589489-6 8.490211-1 2.609423-6 4.260449-1 2.614309-6 3.590689-1 2.619158-6 3.022394-1 2.625012-6 2.443305-1 2.628741-6 2.126652-1 2.633477-6 1.775046-1 2.638175-6 1.475190-1 2.642837-6 1.219798-1 2.647463-6 1.002804-1 2.652052-6 8.191147-2 2.656605-6 6.644146-2 2.661123-6 5.350132-2 2.665606-6 4.277178-2 2.670054-6 3.397296-2 2.674466-6 2.685587-2 2.683189-6 1.678516-2 2.687499-6 1.343352-2 2.691776-6 1.096173-2 2.696019-6 9.203271-3 2.700229-6 8.004624-3 2.704406-6 7.226928-3 2.708550-6 6.748137-3 2.712662-6 6.465090-3 2.716742-6 6.295027-3 2.758477-6 5.402157-3 2.830975-6 3.262026-2 2.969244-6 2.277410-1 3.129935-6 6.868059-1 3.234897-6 1.149310+0 3.250822-6 1.256278+0 3.266746-6 1.381965+0 3.290633-6 1.605257+0 3.322482-6 1.970712+0 3.354331-6 2.431497+0 3.378218-6 2.859541+0 3.401132-6 3.357372+0 3.417834-6 3.788334+0 3.434536-6 4.290960+0 3.451237-6 4.882099+0 3.467939-6 5.584073+0 3.484641-6 6.427025+0 3.492992-6 6.913797+0 3.501343-6 7.452626+0 3.509694-6 8.051501+0 3.518044-6 8.720095+0 3.526395-6 9.470227+0 3.534746-6 1.031652+1 3.543097-6 1.127736+1 3.551448-6 1.237626+1 3.559799-6 1.364409+1 3.569328-6 1.535093+1 3.578815-6 1.741063+1 3.584379-6 1.883531+1 3.594810-6 2.208934+1 3.603938-6 2.579214+1 3.611925-6 2.996293+1 3.618913-6 3.458211+1 3.625028-6 3.958915+1 3.630378-6 4.489089+1 3.635060-6 5.037531+1 3.639156-6 5.592591+1 3.645877-6 6.680325+1 3.651365-6 7.757464+1 3.670998-6 1.335847+2 3.678675-6 1.641498+2 3.685887-6 1.975641+2 3.691456-6 2.263459+2 3.701296-6 2.825936+2 3.702426-6 2.894107+2 3.710339-6 3.383854+2 3.713448-6 3.579245+2 3.719383-6 3.949443+2 3.724157-6 4.238062+2 3.727883-6 4.453183+2 3.732067-6 4.680001+2 3.735561-6 4.854490+2 3.740054-6 5.054720+2 3.745697-6 5.261049+2 3.749891-6 5.377468+2 3.754494-6 5.465474+2 3.757413-6 5.498646+2 3.761905-6 5.514359+2 3.765331-6 5.497320+2 3.774063-6 5.342803+2 3.776884-6 5.260516+2 3.783047-6 5.031221+2 3.786201-6 4.890270+2 3.789710-6 4.717154+2 3.794222-6 4.473105+2 3.797877-6 4.261028+2 3.801981-6 4.011431+2 3.805410-6 3.796502+2 3.809817-6 3.515435+2 3.814339-6 3.226022+2 3.818861-6 2.939995+2 3.823948-6 2.627183+2 3.827904-6 2.393365+2 3.837663-6 1.863470+2 3.840344-6 1.731245+2 3.848389-6 1.372191+2 3.853373-6 1.178445+2 3.857885-6 1.021689+2 3.861714-6 9.020478+1 3.867186-6 7.512451+1 3.870703-6 6.660589+1 3.876605-6 5.420360+1 3.883757-6 4.199815+1 3.905213-6 1.935278+1 3.912365-6 1.508012+1 3.914749-6 1.391076+1 3.918325-6 1.236123+1 3.921900-6 1.103050+1 3.924284-6 1.025138+1 3.927860-6 9.226410+0 3.931436-6 8.353985+0 3.933820-6 7.847045+0 3.937396-6 7.185015+0 3.940972-6 6.626278+0 3.943822-6 6.244903+0 3.946932-6 5.884569+0 3.950508-6 5.532172+0 3.955276-6 5.147051+0 3.958852-6 4.909132+0 3.961236-6 4.769957+0 3.965408-6 4.556117+0 3.969580-6 4.370994+0 3.982394-6 3.893233+0 3.988652-6 3.671407+0 3.994612-6 3.451536+0 3.998188-6 3.313407+0 4.000572-6 3.218471+0 4.004148-6 3.071848+0 4.007724-6 2.920563+0 4.012492-6 2.712964+0 4.017260-6 2.501072+0 4.022743-6 2.256350+0 4.026795-6 2.078004+0 4.033947-6 1.776667+0 4.045867-6 1.345668+0 4.048251-6 1.274652+0 4.055403-6 1.100542+0 4.057787-6 1.057001+0 4.059575-6 1.029564+0 4.062257-6 9.972337-1 4.064269-6 9.802579-1 4.065616-6 9.725148-1 4.070693-6 9.708919-1 4.071962-6 9.776001-1 4.073628-6 9.909140-1 4.075770-6 1.015748+0 4.077114-6 1.035868+0 4.079134-6 1.072874+0 4.080686-6 1.106945+0 4.082803-6 1.161464+0 4.083856-6 1.192093+0 4.085802-6 1.254987+0 4.090191-6 1.427288+0 4.093453-6 1.583270+0 4.095834-6 1.712321+0 4.106787-6 2.470629+0 4.109919-6 2.735295+0 4.115151-6 3.220279+0 4.117701-6 3.474252+0 4.119758-6 3.686574+0 4.126557-6 4.426394+0 4.129790-6 4.792773+0 4.133648-6 5.235663+0 4.137216-6 5.645488+0 4.140233-6 5.987872+0 4.144374-6 6.444733+0 4.148502-6 6.877025+0 4.151794-6 7.199091+0 4.155728-6 7.551078+0 4.161199-6 7.968419+0 4.165193-6 8.211822+0 4.168008-6 8.349005+0 4.171497-6 8.477179+0 4.175435-6 8.564005+0 4.179050-6 8.588400+0 4.180818-6 8.580950+0 4.184796-6 8.518099+0 4.188182-6 8.415485+0 4.190922-6 8.300665+0 4.196154-6 8.007728+0 4.199224-6 7.794609+0 4.202136-6 7.567354+0 4.206186-6 7.215590+0 4.209634-6 6.888503+0 4.213749-6 6.472174+0 4.216218-6 6.212064+0 4.218726-6 5.942200+0 4.222018-6 5.582550+0 4.226250-6 5.117225+0 4.231266-6 4.572161+0 4.235655-6 4.110491+0 4.237536-6 3.919053+0 4.241925-6 3.491428+0 4.246314-6 3.095587+0 4.256973-6 2.299375+0 4.260206-6 2.111402+0 4.266378-6 1.830774+0 4.268886-6 1.747999+0 4.270767-6 1.698432+0 4.272178-6 1.668509+0 4.274029-6 1.638924+0 4.275964-6 1.620093+0 4.277259-6 1.614572+0 4.279238-6 1.617442+0 4.281127-6 1.633295+0 4.283721-6 1.676778+0 4.286760-6 1.761108+0 4.295109-6 2.195659+0 4.298240-6 2.442968+0 4.300979-6 2.700837+0 4.303376-6 2.960032+0 4.307309-6 3.457316+0 4.319139-6 5.558790+0 4.324232-6 6.778177+0 4.326934-6 7.509619+0 4.330018-6 8.418949+0 4.339271-6 1.164350+1 4.343591-6 1.341045+1 4.345031-6 1.403648+1 4.355674-6 1.921736+1 4.357586-6 2.024580+1 4.366316-6 2.526036+1 4.370411-6 2.776021+1 4.376958-6 3.188149+1 4.381157-6 3.456161+1 4.385482-6 3.731187+1 4.390108-6 4.020074+1 4.393651-6 4.234531+1 4.397629-6 4.465365+1 4.402019-6 4.704245+1 4.406348-6 4.919579+1 4.410284-6 5.094896+1 4.413728-6 5.230230+1 4.418532-6 5.387954+1 4.422365-6 5.485804+1 4.427229-6 5.572073+1 4.431845-6 5.613356+1 4.434376-6 5.618973+1 4.439203-6 5.596410+1 4.444055-6 5.530706+1 4.451954-6 5.337109+1 4.456623-6 5.177015+1 4.459863-6 5.048335+1 4.462803-6 4.920446+1 4.467626-6 4.690613+1 4.469595-6 4.590578+1 4.473042-6 4.408329+1 4.477566-6 4.157957+1 4.481928-6 3.908079+1 4.483382-6 3.823577+1 4.488703-6 3.511923+1 4.494024-6 3.200842+1 4.495354-6 3.123784+1 4.502338-6 2.727955+1 4.505997-6 2.528513+1 4.514145-6 2.110166+1 4.518967-6 1.882006+1 4.522459-6 1.726625+1 4.525951-6 1.579792+1 4.528612-6 1.473738+1 4.534598-6 1.253558+1 4.539674-6 1.086590+1 4.544600-6 9.413020+0 4.550033-6 7.992753+0 4.555465-6 6.751525+0 4.560898-6 5.675749+0 4.566330-6 4.751254+0 4.588060-6 2.294220+0 4.598925-6 1.648096+0 4.604358-6 1.439853+0 4.607074-6 1.361872+0 4.609790-6 1.300604+0 4.613029-6 1.248817+0 4.615459-6 1.224859+0 4.617307-6 1.215058+0 4.618647-6 1.212469+0 4.620697-6 1.215824+0 4.622747-6 1.227996+0 4.624787-6 1.248850+0 4.626838-6 1.278625+0 4.628009-6 1.299579+0 4.631520-6 1.379803+0 4.633902-6 1.449138+0 4.637667-6 1.583597+0 4.641992-6 1.776106+0 4.646125-6 1.998533+0 4.661274-6 3.136753+0 4.666928-6 3.686719+0 4.671032-6 4.124282+0 4.675575-6 4.642227+0 4.680171-6 5.196419+0 4.684777-6 5.775400+0 4.688906-6 6.307745+0 4.692068-6 6.719476+0 4.696586-6 7.307067+0 4.701306-6 7.909875+0 4.705549-6 8.432431+0 4.709091-6 8.847864+0 4.713714-6 9.352743+0 4.716209-6 9.604286+0 4.721723-6 1.009848+1 4.726255-6 1.043260+1 4.729583-6 1.063204+1 4.732849-6 1.078755+1 4.737550-6 1.093841+1 4.741720-6 1.099829+1 4.743791-6 1.100198+1 4.748450-6 1.094769+1 4.752290-6 1.083944+1 4.755065-6 1.072696+1 4.757331-6 1.061476+1 4.762430-6 1.029998+1 4.765774-6 1.005087+1 4.769587-6 9.730811+0 4.773869-6 9.332520+0 4.778978-6 8.815127+0 4.782043-6 8.488635+0 4.787021-6 7.942928+0 4.793422-6 7.233008+0 4.800171-6 6.502913+0 4.814502-6 5.140036+0 4.819167-6 4.777211+0 4.825213-6 4.377751+0 4.829687-6 4.135929+0 4.832201-6 4.020298+0 4.837739-6 3.816474+0 4.848792-6 3.605249+0 4.852701-6 3.585862+0 4.855999-6 3.588678+0 4.859358-6 3.607513+0 4.863660-6 3.651839+0 4.867779-6 3.711658+0 4.875569-6 3.856863+0 4.890056-6 4.162495+0 4.897200-6 4.296000+0 4.904282-6 4.401303+0 4.908822-6 4.451415+0 4.920266-6 4.511916+0 4.925879-6 4.508004+0 4.932793-6 4.476552+0 4.940089-6 4.417461+0 4.951775-6 4.287371+0 4.966688-6 4.104634+0 4.979951-6 3.967251+0 4.991565-6 3.883609+0 5.002647-6 3.838005+0 5.012074-6 3.821978+0 5.027734-6 3.827465+0 5.065640-6 3.890507+0 5.098663-6 3.925487+0 5.131094-6 3.951615+0 5.165807-6 4.008316+0 5.179244-6 4.054294+0 5.193335-6 4.130477+0 5.202018-6 4.196883+0 5.211783-6 4.293631+0 5.221650-6 4.418680+0 5.230600-6 4.558156+0 5.237631-6 4.685847+0 5.248438-6 4.913090+0 5.260936-6 5.220479+0 5.270197-6 5.477149+0 5.278605-6 5.731718+0 5.290693-6 6.141799+0 5.295721-6 6.333501+0 5.303160-6 6.650730+0 5.306071-6 6.788984+0 5.313731-6 7.203920+0 5.318718-6 7.524999+0 5.326206-6 8.108079+0 5.331230-6 8.584913+0 5.333916-6 8.873539+0 5.338081-6 9.374176+0 5.341151-6 9.788839+0 5.346699-6 1.064857+1 5.351241-6 1.147071+1 5.355870-6 1.243020+1 5.358399-6 1.301045+1 5.365620-6 1.490180+1 5.374847-6 1.786211+1 5.388643-6 2.348789+1 5.396335-6 2.722674+1 5.401708-6 3.006414+1 5.404311-6 3.149752+1 5.413340-6 3.670052+1 5.419368-6 4.030768+1 5.424720-6 4.353988+1 5.429021-6 4.612190+1 5.434088-6 4.910624+1 5.439833-6 5.235936+1 5.445753-6 5.549919+1 5.451088-6 5.808522+1 5.455688-6 6.009102+1 5.460870-6 6.206632+1 5.465983-6 6.368759+1 5.467719-6 6.415884+1 5.474026-6 6.551495+1 5.479940-6 6.626030+1 5.483731-6 6.646377+1 5.489160-6 6.638139+1 5.494978-6 6.581312+1 5.504744-6 6.380529+1 5.510129-6 6.218339+1 5.516120-6 6.000326+1 5.519972-6 5.841819+1 5.523824-6 5.670860+1 5.526846-6 5.529101+1 5.530624-6 5.343817+1 5.536303-6 5.051735+1 5.541780-6 4.759182+1 5.543605-6 4.660115+1 5.550185-6 4.300124+1 5.556764-6 3.941025+1 5.564166-6 3.546182+1 5.569923-6 3.250603+1 5.584727-6 2.557549+1 5.613842-6 1.550868+1 5.620945-6 1.378697+1 5.624362-6 1.305232+1 5.629487-6 1.205724+1 5.634612-6 1.118220+1 5.638029-6 1.066070+1 5.643154-6 9.963748+0 5.648279-6 9.360045+0 5.655112-6 8.682563+0 5.659239-6 8.335020+0 5.661946-6 8.129271+0 5.668779-6 7.678023+0 5.675613-6 7.308488+0 5.685863-6 6.868243+0 5.689280-6 6.744138+0 5.706364-6 6.224643+0 5.730281-6 5.603993+0 5.744352-6 5.238549+0 5.757615-6 4.888906+0 5.771282-6 4.532705+0 5.798616-6 3.883840+0 5.805450-6 3.742848+0 5.819603-6 3.483992+0 5.831344-6 3.304481+0 5.841794-6 3.171181+0 5.851591-6 3.067716+0 5.869960-6 2.924855+0 5.886289-6 2.847712+0 5.902106-6 2.813567+0 5.914160-6 2.814284+0 5.924708-6 2.835700+0 5.933938-6 2.872885+0 5.942013-6 2.922226+0 5.949080-6 2.980748+0 5.955263-6 3.045830+0 5.960873-6 3.117920+0 5.965407-6 3.186492+0 5.973173-6 3.328697+0 5.976344-6 3.396872+0 5.981547-6 3.523016+0 5.985531-6 3.632691+0 5.989826-6 3.764868+0 5.996695-6 4.009211+0 6.003456-6 4.293590+0 6.006751-6 4.449286+0 6.021791-6 5.317680+0 6.033451-6 6.183105+0 6.056467-6 8.384701+0 6.063283-6 9.144533+0 6.074510-6 1.046646+1 6.081511-6 1.131417+1 6.087726-6 1.206662+1 6.095718-6 1.301309+1 6.102631-6 1.379321+1 6.108604-6 1.442400+1 6.115811-6 1.511470+1 6.121368-6 1.558396+1 6.128243-6 1.607583+1 6.134685-6 1.643783+1 6.141876-6 1.671937+1 6.148580-6 1.685960+1 6.152834-6 1.688611+1 6.159940-6 1.682245+1 6.165453-6 1.668196+1 6.176454-6 1.617793+1 6.182878-6 1.575831+1 6.188494-6 1.532537+1 6.195196-6 1.473916+1 6.201816-6 1.409852+1 6.209777-6 1.326700+1 6.218094-6 1.235212+1 6.227396-6 1.130566+1 6.234778-6 1.048000+1 6.246774-6 9.189955+0 6.266623-6 7.319537+0 6.283430-6 6.092963+0 6.291773-6 5.622580+0 6.294749-6 5.477675+0 6.302400-6 5.160271+0 6.304948-6 5.072040+0 6.308918-6 4.951783+0 6.312028-6 4.871972+0 6.321361-6 4.706464+0 6.326954-6 4.658312+0 6.332547-6 4.646291+0 6.348149-6 4.785883+0 6.355085-6 4.919590+0 6.363893-6 5.141470+0 6.373740-6 5.444733+0 6.398966-6 6.362242+0 6.410039-6 6.766830+0 6.418467-6 7.051718+0 6.425868-6 7.276539+0 6.434923-6 7.510470+0 6.442903-6 7.672878+0 6.452950-6 7.813186+0 6.459607-6 7.865288+0 6.469465-6 7.883454+0 6.478005-6 7.845748+0 6.488370-6 7.741810+0 6.499741-6 7.569771+0 6.515578-6 7.268185+0 6.542501-6 6.740854+0 6.549287-6 6.627777+0 6.566711-6 6.400138+0 6.577495-6 6.308455+0 6.591037-6 6.243706+0 6.604916-6 6.225216+0 6.625960-6 6.255295+0 6.663816-6 6.342167+0 6.689765-6 6.359037+0 6.729149-6 6.320610+0 6.827759-6 6.194489+0 6.888574-6 6.141059+0 6.926134-6 6.137278+0 6.969035-6 6.172567+0 7.038438-6 6.252709+0 7.065379-6 6.256211+0 7.100417-6 6.209660+0 7.132232-6 6.109186+0 7.171844-6 5.929686+0 7.200494-6 5.798683+0 7.222058-6 5.719626+0 7.232237-6 5.691363+0 7.249607-6 5.659183+0 7.266434-6 5.649107+0 7.299036-6 5.692677+0 7.305619-6 5.711846+0 7.329601-6 5.811796+0 7.342176-6 5.883434+0 7.358255-6 5.994879+0 7.376449-6 6.148869+0 7.410303-6 6.520061+0 7.438703-6 6.926266+0 7.466943-6 7.429925+0 7.493418-6 8.008427+0 7.518239-6 8.662082+0 7.541508-6 9.392062+0 7.566630-6 1.033471+1 7.585775-6 1.118376+1 7.602947-6 1.206143+1 7.621990-6 1.318933+1 7.637773-6 1.427280+1 7.653571-6 1.552185+1 7.668382-6 1.687523+1 7.682267-6 1.834134+1 7.695285-6 1.993008+1 7.707488-6 2.165252+1 7.718929-6 2.352037+1 7.729655-6 2.554519+1 7.739711-6 2.773735+1 7.749138-6 3.010515+1 7.757976-6 3.265389+1 7.774547-6 3.850451+1 7.789047-6 4.509346+1 7.801734-6 5.231404+1 7.812835-6 6.000956+1 7.822549-6 6.799770+1 7.831048-6 7.609360+1 7.841194-6 8.729173+1 7.870927-6 1.317144+2 7.891758-6 1.751804+2 7.903991-6 2.060402+2 7.909966-6 2.225873+2 7.919677-6 2.515325+2 7.929387-6 2.829331+2 7.948809-6 3.523333+2 7.951237-6 3.615390+2 7.968231-6 4.283347+2 7.974907-6 4.553182+2 7.987652-6 5.070172+2 7.997515-6 5.463826+2 8.007074-6 5.832134+2 8.016936-6 6.190768+2 8.026495-6 6.510271+2 8.034992-6 6.765387+2 8.042844-6 6.972872+2 8.047131-6 7.073473+2 8.058511-6 7.293072+2 8.067397-6 7.413060+2 8.079063-6 7.497650+2 8.088393-6 7.504014+2 8.092039-6 7.491635+2 8.101905-6 7.416856+2 8.111140-6 7.293881+2 8.124817-6 7.024339+2 8.132570-6 6.829680+2 8.143025-6 6.525682+2 8.153003-6 6.198101+2 8.162446-6 5.861530+2 8.170943-6 5.542256+2 8.179137-6 5.224385+2 8.192000-6 4.715723+2 8.201289-6 4.348466+2 8.213059-6 3.892121+2 8.220711-6 3.604682+2 8.240133-6 2.922375+2 8.246809-6 2.706597+2 8.259554-6 2.324640+2 8.274120-6 1.938403+2 8.290279-6 1.572825+2 8.334573-6 8.744974+1 8.344217-6 7.714574+1 8.353785-6 6.829275+1 8.363278-6 6.070132+1 8.372698-6 5.419821+1 8.385701-6 4.666026+1 8.400516-6 3.974872+1 8.413951-6 3.471033+1 8.418701-6 3.316017+1 8.436673-6 2.817816+1 8.454365-6 2.435180+1 8.471780-6 2.134640+1 8.488923-6 1.893234+1 8.505798-6 1.695278+1 8.522410-6 1.530005+1 8.540980-6 1.372397+1 8.554858-6 1.269731+1 8.572845-6 1.152430+1 8.592201-6 1.042780+1 8.616768-6 9.239213+0 8.646290-6 8.056494+0 8.676785-6 7.066960+0 8.703147-6 6.374633+0 8.730113-6 5.807113+0 8.756326-6 5.383190+0 8.857902-6 4.907399+0 8.885428-6 5.117976+0 8.901647-6 5.315157+0 8.924695-6 5.691275+0 8.944328-6 6.102738+0 8.963962-6 6.600752+0 8.981229-6 7.113192+0 9.000000-6 7.753566+0 9.017386-6 8.429175+0 9.034622-6 9.183358+0 9.051319-6 1.000107+1 9.083165-6 1.182869+1 9.113051-6 1.391895+1 9.127297-6 1.506589+1 9.154899-6 1.761513+1 9.180777-6 2.046949+1 9.208196-6 2.410202+1 9.227780-6 2.716767+1 9.249102-6 3.105510+1 9.269091-6 3.533631+1 9.287831-6 4.004328+1 9.305400-6 4.521387+1 9.321871-6 5.089220+1 9.341864-6 5.916609+1 9.351789-6 6.397535+1 9.365360-6 7.148876+1 9.378084-6 7.972022+1 9.390012-6 8.871452+1 9.401194-6 9.850533+1 9.411678-6 1.091118+2 9.421506-6 1.205365+2 9.439359-6 1.457624+2 9.455555-6 1.748745+2 9.469728-6 2.064523+2 9.482128-6 2.397350+2 9.502473-6 3.082111+2 9.547019-6 5.375471+2 9.567777-6 6.914723+2 9.585240-6 8.478748+2 9.592486-6 9.202805+2 9.604262-6 1.047425+3 9.616038-6 1.186061+3 9.639591-6 1.495164+3 9.642535-6 1.536458+3 9.663144-6 1.838337+3 9.671240-6 1.961514+3 9.686696-6 2.199813+3 9.698657-6 2.383642+3 9.710249-6 2.557946+3 9.722210-6 2.730416+3 9.733802-6 2.887142+3 9.744106-6 3.015241+3 9.753628-6 3.122322+3 9.758827-6 3.175620+3 9.772627-6 3.297423+3 9.783404-6 3.370805+3 9.795959-6 3.430263+3 9.806162-6 3.456991+3 9.828749-6 3.445814+3 9.839283-6 3.408011+3 9.853037-6 3.329239+3 9.864250-6 3.242244+3 9.875118-6 3.140429+3 9.887079-6 3.011040+3 9.898671-6 2.871147+3 9.908975-6 2.737272+3 9.918911-6 2.601772+3 9.934000-6 2.388270+3 9.945776-6 2.218713+3 9.959025-6 2.028646+3 9.969329-6 1.883460+3 9.992882-6 1.568025+3 1.000098-5 1.466611+3 1.001643-5 1.284961+3 1.003410-5 1.098210+3 1.006433-5 8.322159+2 1.009387-5 6.342639+2 1.010850-5 5.563473+2 1.012500-5 4.822527+2 1.013742-5 4.349774+2 1.015170-5 3.883885+2 1.016588-5 3.492986+2 1.017995-5 3.164706+2 1.019390-5 2.888289+2 1.020775-5 2.654558+2 1.022149-5 2.455816+2 1.024875-5 2.137893+2 1.027559-5 1.898022+2 1.030683-5 1.681215+2 1.032802-5 1.561375+2 1.035362-5 1.438273+2 1.037881-5 1.335109+2 1.040362-5 1.247288+2 1.043186-5 1.160544+2 1.045207-5 1.105594+2 1.049940-5 9.953917+1 1.055373-5 8.932812+1 1.058965-5 8.365789+1 1.064100-5 7.670561+1 1.067559-5 7.264780+1 1.071472-5 6.855631+1 1.075384-5 6.491409+1 1.082962-5 5.887738+1 1.090067-5 5.417042+1 1.096727-5 5.040562+1 1.103563-5 4.706323+1 1.110372-5 4.415523+1 1.119802-5 4.067382+1 1.129406-5 3.764711+1 1.141563-5 3.439459+1 1.158032-5 3.070783+1 1.171520-5 2.814607+1 1.208418-5 2.250879+1 1.240817-5 1.824823+1 1.255544-5 1.625875+1 1.264372-5 1.494982+1 1.269905-5 1.404366+1 1.275145-5 1.310501+1 1.277765-5 1.260668+1 1.280385-5 1.209450+1 1.286688-5 1.087952+1 1.289839-5 1.035811+1 1.292192-5 1.005765+1 1.292991-5 9.979915+0 1.294584-5 9.871249+0 1.295977-5 9.835409+0 1.296762-5 9.843310+0 1.302557-5 1.070897+1 1.305747-5 1.194493+1 1.306321-5 1.223302+1 1.309137-5 1.395264+1 1.310165-5 1.470612+1 1.313416-5 1.750538+1 1.316550-5 2.071501+1 1.318509-5 2.289935+1 1.319905-5 2.450182+1 1.321899-5 2.680686+1 1.323394-5 2.850931+1 1.325089-5 3.036821+1 1.325837-5 3.115353+1 1.326958-5 3.228064+1 1.328279-5 3.351570+1 1.331270-5 3.585816+1 1.332367-5 3.653530+1 1.334461-5 3.752841+1 1.336197-5 3.804186+1 1.337301-5 3.822066+1 1.338128-5 3.828030+1 1.339370-5 3.825293+1 1.340612-5 3.809051+1 1.341467-5 3.790405+1 1.343391-5 3.727904+1 1.344032-5 3.701257+1 1.346425-5 3.579784+1 1.347222-5 3.532607+1 1.349615-5 3.375681+1 1.350413-5 3.319339+1 1.353650-5 3.078510+1 1.358447-5 2.715438+1 1.363429-5 2.369368+1 1.366875-5 2.160874+1 1.369292-5 2.031135+1 1.376314-5 1.727855+1 1.379164-5 1.633365+1 1.380225-5 1.602120+1 1.385953-5 1.470040+1 1.389506-5 1.419659+1 1.392742-5 1.395448+1 1.393983-5 1.391644+1 1.396594-5 1.393247+1 1.399102-5 1.406257+1 1.400299-5 1.416023+1 1.402992-5 1.445045+1 1.406856-5 1.498671+1 1.410277-5 1.550458+1 1.414181-5 1.604584+1 1.417974-5 1.643476+1 1.420539-5 1.659112+1 1.422293-5 1.664338+1 1.423608-5 1.665343+1 1.426567-5 1.658981+1 1.430299-5 1.636540+1 1.433625-5 1.607192+1 1.443251-5 1.511835+1 1.447782-5 1.476134+1 1.450351-5 1.459950+1 1.454065-5 1.441123+1 1.458718-5 1.422981+1 1.474550-5 1.371173+1 1.495443-5 1.299764+1 1.513451-5 1.246426+1 1.518450-5 1.229623+1 1.525405-5 1.203711+1 1.533704-5 1.169974+1 1.580027-5 9.874437+0 1.606936-5 8.898358+0 1.638400-5 7.763897+0 1.664912-5 6.821533+0 1.691238-5 5.913910+0 1.718449-5 4.999135+0 1.733432-5 4.504295+0 1.751275-5 3.928390+0 1.761069-5 3.620413+0 1.772354-5 3.273614+0 1.785242-5 2.889034+0 1.799510-5 2.480228+0 1.812470-5 2.128643+0 1.822190-5 1.880663+0 1.829496-5 1.704994+0 1.840416-5 1.462972+0 1.855908-5 1.172775+0 1.860465-5 1.102097+0 1.865022-5 1.039297+0 1.869579-5 9.850966-1 1.874447-5 9.374633-1 1.878693-5 9.050628-1 1.883249-5 8.799345-1 1.887806-5 8.644115-1 1.892363-5 8.573389-1 1.896920-5 8.566936-1 1.909451-5 8.646010-1 1.915027-5 8.620646-1 1.920844-5 8.531563-1 1.926540-5 8.428091-1 1.928818-5 8.402353-1 1.931096-5 8.397279-1 1.933375-5 8.422113-1 1.935653-5 8.487034-1 1.937932-5 8.603118-1 1.940210-5 8.782355-1 1.942489-5 9.037723-1 1.944940-5 9.413691-1 1.947208-5 9.871253-1 1.949457-5 1.044666+0 1.951636-5 1.113716+0 1.953747-5 1.194934+0 1.955792-5 1.288969+0 1.957774-5 1.396476+0 1.961612-5 1.659360+0 1.965211-5 1.986767+0 1.968584-5 2.385366+0 1.971747-5 2.862428+0 1.974712-5 3.425598+0 1.977492-5 4.082503+0 1.980098-5 4.840264+0 1.982542-5 5.704956+0 1.984832-5 6.681114+0 1.986980-5 7.771340+0 1.988993-5 8.976036+0 1.992649-5 1.171898+1 1.998779-5 1.848074+1 2.005516-5 3.047947+1 2.008721-5 3.848856+1 2.012177-5 4.920617+1 2.015245-5 6.080164+1 2.018081-5 7.345717+1 2.020083-5 8.360333+1 2.022631-5 9.803278+1 2.024160-5 1.075287+2 2.026645-5 1.243190+2 2.029130-5 1.427693+2 2.034100-5 1.843190+2 2.034721-5 1.899040+2 2.039070-5 2.309046+2 2.040779-5 2.476959+2 2.044040-5 2.802216+2 2.046616-5 3.058116+2 2.049010-5 3.290063+2 2.051534-5 3.523327+2 2.053369-5 3.682584+2 2.055223-5 3.832334+2 2.057378-5 3.989540+2 2.059261-5 4.109837+2 2.062173-5 4.260169+2 2.064447-5 4.344332+2 2.067402-5 4.406750+2 2.069243-5 4.417808+2 2.074091-5 4.344115+2 2.075428-5 4.298288+2 2.079141-5 4.117833+2 2.081124-5 3.992156+2 2.082797-5 3.872341+2 2.084421-5 3.745160+2 2.086324-5 3.584529+2 2.088158-5 3.419694+2 2.090012-5 3.245322+2 2.092342-5 3.018363+2 2.093740-5 2.879572+2 2.096225-5 2.631117+2 2.098089-5 2.445618+2 2.099331-5 2.323342+2 2.101505-5 2.113662+2 2.103680-5 1.911430+2 2.108650-5 1.487392+2 2.110358-5 1.356375+2 2.113620-5 1.130085+2 2.119629-5 8.016199+1 2.128392-5 5.392449+1 2.129171-5 5.285145+1 2.130216-5 5.173170+1 2.131070-5 5.109019+1 2.131710-5 5.076973+1 2.132671-5 5.054660+1 2.133631-5 5.063156+1 2.136250-5 5.241833+1 2.137115-5 5.350348+1 2.138201-5 5.521084+1 2.138931-5 5.657313+1 2.144190-5 7.133139+1 2.146658-5 8.110916+1 2.151854-5 1.069874+2 2.154914-5 1.250617+2 2.157005-5 1.383532+2 2.158767-5 1.500103+2 2.160766-5 1.635888+2 2.162596-5 1.762154+2 2.164717-5 1.909010+2 2.166865-5 2.056177+2 2.169007-5 2.199104+2 2.171185-5 2.338087+2 2.173177-5 2.457711+2 2.175496-5 2.585618+2 2.176968-5 2.659424+2 2.179351-5 2.765153+2 2.181261-5 2.836510+2 2.182896-5 2.887425+2 2.185238-5 2.943188+2 2.186960-5 2.970938+2 2.188034-5 2.982487+2 2.191585-5 2.989251+2 2.193417-5 2.974286+2 2.194885-5 2.953601+2 2.197151-5 2.907232+2 2.198297-5 2.877488+2 2.200876-5 2.796393+2 2.203045-5 2.714501+2 2.205009-5 2.631033+2 2.206974-5 2.540064+2 2.209593-5 2.409389+2 2.212213-5 2.270838+2 2.213522-5 2.199554+2 2.216469-5 2.036543+2 2.217451-5 1.981898+2 2.222690-5 1.694394+2 2.225871-5 1.527613+2 2.227929-5 1.424516+2 2.231858-5 1.240233+2 2.237338-5 1.014235+2 2.248081-5 6.786058+1 2.250793-5 6.143602+1 2.254861-5 5.310574+1 2.258929-5 4.613883+1 2.264489-5 3.841683+1 2.270049-5 3.230962+1 2.275610-5 2.739885+1 2.286730-5 2.001009+1 2.293856-5 1.646923+1 2.298026-5 1.474441+1 2.307535-5 1.171579+1 2.313187-5 1.051414+1 2.318839-5 9.758744+0 2.320252-5 9.637665+0 2.324491-5 9.427462+0 2.326170-5 9.403784+0 2.328690-5 9.425727+0 2.331210-5 9.509636+0 2.332600-5 9.579239+0 2.335728-5 9.786404+0 2.341201-5 1.026613+1 2.347890-5 1.091840+1 2.354113-5 1.145096+1 2.357530-5 1.167969+1 2.364054-5 1.197605+1 2.369063-5 1.210663+1 2.375884-5 1.225332+1 2.380964-5 1.243170+1 2.387495-5 1.286094+1 2.389490-5 1.304879+1 2.393300-5 1.348447+1 2.396301-5 1.389406+1 2.406106-5 1.548610+1 2.410431-5 1.619197+1 2.414196-5 1.673371+1 2.416520-5 1.701390+1 2.422325-5 1.746595+1 2.424678-5 1.752942+1 2.429171-5 1.743557+1 2.430378-5 1.736095+1 2.432490-5 1.718020+1 2.434075-5 1.700354+1 2.436451-5 1.667511+1 2.438827-5 1.627518+1 2.442186-5 1.560102+1 2.443866-5 1.522241+1 2.445545-5 1.482036+1 2.448557-5 1.405168+1 2.451568-5 1.323901+1 2.457240-5 1.166051+1 2.459485-5 1.104160+1 2.465494-5 9.471220+0 2.471503-5 8.105124+0 2.476117-5 7.233664+0 2.477513-5 7.002489+0 2.480517-5 6.555782+0 2.482771-5 6.265381+0 2.486151-5 5.897506+0 2.487841-5 5.741970+0 2.489531-5 5.603861+0 2.492536-5 5.397422+0 2.495541-5 5.234559+0 2.498880-5 5.095238+0 2.501690-5 5.004575+0 2.508111-5 4.856424+0 2.517284-5 4.697429+0 2.521532-5 4.618560+0 2.528829-5 4.456694+0 2.536264-5 4.255267+0 2.543657-5 4.027772+0 2.552653-5 3.734540+0 2.572283-5 3.130110+0 2.577782-5 2.988890+0 2.583352-5 2.867329+0 2.586240-5 2.814973+0 2.590680-5 2.751757+0 2.595120-5 2.713362+0 2.598012-5 2.703982+0 2.600903-5 2.708600+0 2.603000-5 2.721546+0 2.604984-5 2.741810+0 2.607480-5 2.779144+0 2.609997-5 2.831049+0 2.612511-5 2.898160+0 2.615958-5 3.016560+0 2.618771-5 3.137185+0 2.620595-5 3.227355+0 2.624011-5 3.422393+0 2.626884-5 3.613302+0 2.630275-5 3.870322+0 2.632925-5 4.094546+0 2.645961-5 5.454410+0 2.651074-5 6.065574+0 2.654873-5 6.526118+0 2.658165-5 6.919195+0 2.661458-5 7.297523+0 2.663920-5 7.565448+0 2.665766-5 7.755578+0 2.668535-5 8.019866+0 2.671304-5 8.254935+0 2.674528-5 8.486290+0 2.677752-5 8.666906+0 2.682588-5 8.834306+0 2.685000-5 8.869498+0 2.690648-5 8.826770+0 2.692260-5 8.783691+0 2.697096-5 8.580123+0 2.700455-5 8.381311+0 2.703661-5 8.156391+0 2.706867-5 7.905543+0 2.709260-5 7.706625+0 2.716441-5 7.089908+0 2.722889-5 6.570759+0 2.729337-5 6.144184+0 2.732830-5 5.966204+0 2.736554-5 5.822984+0 2.739507-5 5.744856+0 2.746184-5 5.681705+0 2.748879-5 5.697999+0 2.752861-5 5.760858+0 2.755365-5 5.821273+0 2.759747-5 5.959000+0 2.763033-5 6.083459+0 2.781474-5 6.912612+0 2.788600-5 7.219152+0 2.797369-5 7.557592+0 2.804113-5 7.792816+0 2.833505-5 8.799028+0 2.842569-5 9.165174+0 2.859233-5 9.935496+0 2.880169-5 1.106465+1 2.976913-5 1.839800+1 3.013078-5 2.209857+1 3.050000-5 2.650502+1 3.081529-5 3.082590+1 3.120868-5 3.698750+1 3.165289-5 4.497202+1 3.192104-5 5.030527+1 3.219357-5 5.613676+1 3.253714-5 6.416753+1 3.291778-5 7.408717+1 3.330660-5 8.544055+1 3.389824-5 1.049772+2 3.429824-5 1.198954+2 3.492441-5 1.460627+2 3.531179-5 1.639394+2 3.574120-5 1.853013+2 3.610000-5 2.044045+2 3.662390-5 2.342359+2 3.688871-5 2.501127+2 3.725145-5 2.726777+2 3.760000-5 2.952104+2 3.800000-5 3.219603+2 3.833984-5 3.452080+2 3.892271-5 3.859614+2 3.920226-5 4.058665+2 3.975000-5 4.450558+2 4.025000-5 4.805692+2 4.067500-5 5.102488+2 4.110000-5 5.394501+2 4.168694-5 5.783724+2 4.227040-5 6.148361+2 4.280000-5 6.458455+2 4.330000-5 6.730124+2 4.370000-5 6.930789+2 4.420000-5 7.161067+2 4.485000-5 7.428486+2 4.542601-5 7.631946+2 4.570882-5 7.719521+2 4.653614-5 7.943217+2 4.700509-5 8.046057+2 4.777772-5 8.183475+2 4.833189-5 8.261024+2 4.884375-5 8.315223+2 4.971541-5 8.377994+2 5.035915-5 8.403323+2 5.191554-5 8.412714+2 5.264183-5 8.396100+2 5.384768-5 8.345931+2 5.595427-5 8.213969+2 5.864093-5 7.984004+2 6.192737-5 7.672876+2 6.800000-5 7.068390+2 7.198422-5 6.668492+2 7.413102-5 6.451655+2 7.782479-5 6.071660+2 7.968525-5 5.875367+2 8.279227-5 5.550296+2 8.360740-5 5.500502+2 8.447937-5 5.457583+2 8.509594-5 5.391398+2 8.583648-5 5.260661+2 8.664127-5 5.100229+2 8.721721-5 5.008169+2 8.768621-5 4.961937+2 8.820982-5 4.944013+2 8.861352-5 4.949272+2 8.971717-5 4.990428+2 9.130779-5 5.005770+2 9.398643-5 4.944880+2 9.676186-5 4.839545+2 9.931877-5 4.720778+2 1.020533-4 4.578674+2 1.061491-4 4.345979+2 1.079501-4 4.236215+2 1.087030-4 4.177847+2 1.101511-4 4.054479+2 1.107169-4 4.018017+2 1.115031-4 3.989733+2 1.152000-4 3.992826+2 1.174898-4 3.965318+2 1.225334-4 3.850795+2 1.262147-4 3.742364+2 1.288481-4 3.656117+2 1.338588-4 3.479745+2 1.364657-4 3.385214+2 1.395431-4 3.268675+2 1.440426-4 3.089238+2 1.461649-4 2.994189+2 1.486504-4 2.873970+2 1.496519-4 2.835649+2 1.521847-4 2.756915+2 1.531087-4 2.735394+2 1.544409-4 2.714519+2 1.575000-4 2.683787+2 1.596928-4 2.653239+2 1.630000-4 2.592041+2 1.683901-4 2.466805+2 1.718092-4 2.376778+2 1.740549-4 2.314333+2 1.770000-4 2.229889+2 1.820000-4 2.083053+2 1.871250-4 1.932076+2 1.930000-4 1.763013+2 2.005000-4 1.561887+2 2.080000-4 1.387075+2 2.125797-4 1.298612+2 2.163620-4 1.238658+2 2.200447-4 1.192778+2 2.232287-4 1.164254+2 2.269934-4 1.145315+2 2.328970-4 1.146031+2 2.371374-4 1.169651+2 2.433386-4 1.237956+2 2.469781-4 1.296347+2 2.510156-4 1.376362+2 2.552901-4 1.478124+2 2.592000-4 1.587061+2 2.645000-4 1.756981+2 2.687500-4 1.910380+2 2.820490-4 2.483647+2 2.873674-4 2.742654+2 2.922697-4 2.993179+2 2.985383-4 3.326567+2 3.054921-4 3.707175+2 3.143699-4 4.202822+2 3.247089-4 4.786824+2 3.390000-4 5.590893+2 3.519742-4 6.304666+2 3.650903-4 6.999953+2 3.772884-4 7.605491+2 3.981849-4 8.547137+2 4.062144-4 9.061022+2 4.081946-4 9.152242+2 4.144766-4 9.329569+2 4.181521-4 9.491581+2 4.216965-4 9.731515+2 4.245208-4 9.956478+2 4.276426-4 1.018472+3 4.296867-4 1.029984+3 4.390000-4 1.067492+3 4.570882-4 1.166447+3 4.715164-4 1.235914+3 4.905563-4 1.315597+3 5.157989-4 1.408111+3 5.379422-4 1.478022+3 5.641507-4 1.549594+3 5.919187-4 1.610685+3 6.105359-4 1.637390+3 6.206906-4 1.644805+3 6.257638-4 1.651534+3 6.299387-4 1.663664+3 6.341090-4 1.683717+3 6.421998-4 1.735621+3 6.500000-4 1.779562+3 6.631979-4 1.828958+3 6.850253-4 1.885270+3 7.130582-4 1.941968+3 7.503522-4 1.997741+3 7.774760-4 2.052920+3 8.068877-4 2.094069+3 8.732034-4 2.154436+3 8.986012-4 2.188482+3 9.231217-4 2.215735+3 9.616377-4 2.245752+3 1.012626-3 2.275219+3 1.059254-3 2.294490+3 1.122018-3 2.310826+3 1.192744-3 2.315824+3 1.260229-3 2.308454+3 1.335352-3 2.293437+3 1.417736-3 2.271305+3 1.513561-3 2.236823+3 1.603245-3 2.192391+3 1.695003-3 2.138252+3 1.787902-3 2.076334+3 1.884214-3 2.002633+3 1.972339-3 1.923191+3 2.046616-3 1.847552+3 2.115010-3 1.768729+3 2.175528-3 1.689087+3 2.229156-3 1.607831+3 2.272423-3 1.531303+3 2.303703-3 1.467922+3 2.334311-3 1.397045+3 2.361747-3 1.323417+3 2.386002-3 1.246255+3 2.404763-3 1.174174+3 2.420127-3 1.103284+3 2.432367-3 1.038604+3 2.453473-3 9.242746+2 2.459235-3 8.984631+2 2.465497-3 8.764020+2 2.468942-3 8.676116+2 2.472436-3 8.614763+2 2.475325-3 8.586699+2 2.479228-3 8.582872+2 2.483692-3 8.627314+2 2.487146-3 8.696828+2 2.492222-3 8.851084+2 2.497489-3 9.068808+2 2.501945-3 9.289835+2 2.518565-3 1.025522+3 2.522902-3 1.050546+3 2.528434-3 1.080470+3 2.535198-3 1.113055+3 2.543050-3 1.144894+3 2.552878-3 1.177307+3 2.572419-3 1.237004+3 2.578480-3 1.260118+3 2.586269-3 1.295885+3 2.592686-3 1.330970+3 2.599205-3 1.371528+3 2.626111-3 1.566364+3 2.633064-3 1.615678+3 2.644274-3 1.688273+3 2.656918-3 1.758015+3 2.672624-3 1.828051+3 2.693579-3 1.901016+3 2.715749-3 1.963116+3 2.750744-3 2.044494+3 2.790210-3 2.121336+3 2.819862-3 2.169575+3 2.859236-3 2.219325+3 2.894931-3 2.250681+3 2.932416-3 2.269274+3 2.962477-3 2.270096+3 3.014451-3 2.245099+3 3.025756-3 2.245350+3 3.037914-3 2.253925+3 3.048086-3 2.269059+3 3.057300-3 2.289025+3 3.079504-3 2.355081+3 3.108215-3 2.447602+3 3.122628-3 2.486280+3 3.141156-3 2.525742+3 3.164766-3 2.562580+3 3.196453-3 2.597685+3 3.234095-3 2.627728+3 3.275365-3 2.649848+3 3.322443-3 2.663624+3 3.366961-3 2.671036+3 3.406778-3 2.672156+3 3.447570-3 2.665920+3 3.518822-3 2.644483+3 3.537767-3 2.646896+3 3.567317-3 2.664870+3 3.615392-3 2.707694+3 3.638499-3 2.722345+3 3.675019-3 2.735011+3 3.743204-3 2.736887+3 3.800394-3 2.734590+3 3.836379-3 2.745232+3 3.922688-3 2.785721+3 4.005136-3 2.800221+3 4.159343-3 2.799513+3 4.393914-3 2.772106+3 4.612505-3 2.733832+3 4.931944-3 2.660080+3 5.225465-3 2.586367+3 5.682393-3 2.461565+3 6.036173-3 2.364642+3 6.550131-3 2.227615+3 7.046424-3 2.100126+3 7.363429-3 2.022561+3 8.026593-3 1.868202+3 8.412968-3 1.784609+3 9.167139-3 1.631130+3 9.600457-3 1.548229+3 1.000000-2 1.474652+3 1.040524-2 1.402654+3 1.078141-2 1.337082+3 1.108662-2 1.284548+3 1.138738-2 1.232290+3 1.163697-2 1.188285+3 1.186144-2 1.147643+3 1.204263-2 1.113428+3 1.218900-2 1.084310+3 1.232041-2 1.056413+3 1.242739-2 1.031768+3 1.252649-2 1.006424+3 1.260722-2 9.829012+2 1.267277-2 9.610010+2 1.272659-2 9.407353+2 1.289812-2 8.703289+2 1.294295-2 8.563597+2 1.297641-2 8.491474+2 1.302213-2 8.447217+2 1.304742-2 8.451260+2 1.307052-2 8.472179+2 1.311475-2 8.552922+2 1.318930-2 8.771914+2 1.330646-2 9.151773+2 1.335243-2 9.272492+2 1.343668-2 9.435859+2 1.350662-2 9.523011+2 1.357099-2 9.575165+2 1.366548-2 9.618550+2 1.376975-2 9.635127+2 1.387976-2 9.627320+2 1.402064-2 9.589267+2 1.416389-2 9.525012+2 1.441869-2 9.356123+2 1.454528-2 9.245904+2 1.466948-2 9.115854+2 1.477087-2 8.987311+2 1.491600-2 8.755732+2 1.510837-2 8.416997+2 1.518627-2 8.330133+2 1.526251-2 8.301800+2 1.534222-2 8.328952+2 1.555742-2 8.490048+2 1.582908-2 8.586374+2 1.597487-2 8.691898+2 1.617977-2 8.859446+2 1.633533-2 8.932054+2 1.657588-2 8.964586+2 1.684563-2 8.945038+2 1.721931-2 8.870464+2 1.761246-2 8.758905+2 1.802941-2 8.618144+2 1.883594-2 8.309774+2 1.979302-2 7.919540+2 2.108932-2 7.397772+2 2.267071-2 6.799177+2 2.503662-2 6.005964+2 2.795000-2 5.189346+2 3.148654-2 4.396403+2 3.475810-2 3.811083+2 3.738974-2 3.415359+2 4.058305-2 3.003208+2 4.759684-2 2.312256+2 5.389627-2 1.875951+2 5.851160-2 1.625166+2 6.604664-2 1.305495+2 7.148735-2 1.125545+2 7.592663-2 9.999918+1 7.915467-2 9.164919+1 8.166965-2 8.533307+1 8.347027-2 8.069685+1 8.471251-2 7.723220+1 8.523102-2 7.562867+1 8.566880-2 7.414408+1 8.626533-2 7.186383+1 8.745630-2 6.699712+1 8.780492-2 6.597910+1 8.818564-2 6.535661+1 8.843735-2 6.525744+1 8.883985-2 6.556843+1 8.942965-2 6.669411+1 9.015711-2 6.822032+1 9.074126-2 6.906150+1 9.144961-2 6.956887+1 9.194561-2 6.968782+1 9.317544-2 6.952245+1 9.458213-2 6.890080+1 9.628659-2 6.784799+1 9.872462-2 6.607432+1 1.024186-1 6.312962+1 1.067352-1 5.960327+1 1.135011-1 5.429865+1 1.221212-1 4.822147+1 1.321657-1 4.219481+1 1.481300-1 3.459187+1 1.769982-1 2.517807+1 2.143453-1 1.777303+1 2.601947-1 1.240105+1 3.290297-1 7.955319+0 4.257446-1 4.851493+0 6.058202-1 2.445533+0 9.360412-1 1.042373+0 1.477239+0 4.234315-1 2.814822+0 1.174598-1 8.500626+0 1.291178-2 2.567148+1 1.416006-3 7.752663+1 1.552651-4 2.341267+2 1.702451-5 7.070513+2 1.866701-6 2.511886+3 1.479028-7 7.943282+3 1.479028-8 2.511886+4 1.479028-9 7.943282+4 1.47903-10 1.000000+5 9.33204-11 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.534600-6 1.258900-6 2.432100-6 1.584900-6 3.854600-6 1.995300-6 6.109200-6 2.511900-6 9.682400-6 3.162300-6 1.534500-5 3.981100-6 2.432100-5 5.011900-6 3.854600-5 6.309600-6 6.109000-5 7.943300-6 9.682100-5 1.000000-5 1.534500-4 1.258900-5 2.432000-4 1.584900-5 3.854300-4 1.995300-5 6.108600-4 2.511900-5 9.681200-4 3.162300-5 1.534200-3 3.981100-5 2.430500-3 5.011900-5 3.850800-3 6.309600-5 6.101200-3 7.943300-5 9.666800-3 1.000000-4 1.530500-2 1.258900-4 2.422800-2 1.584900-4 3.830300-2 1.995300-4 6.051900-2 2.511900-4 9.542000-2 3.162300-4 1.500300-1 3.981100-4 2.348300-1 5.011900-4 3.646600-1 6.309600-4 5.584200-1 7.943300-4 8.398800-1 1.000000-3 1.235100+0 1.258900-3 1.767400+0 1.584900-3 2.453600+0 1.995300-3 3.307000+0 2.511900-3 4.337800+0 3.162300-3 5.559200+0 3.981100-3 7.000400+0 5.011900-3 8.715100+0 6.309600-3 1.074500+1 7.943300-3 1.311500+1 1.000000-2 1.573400+1 1.258900-2 1.846600+1 1.584900-2 2.120500+1 1.995300-2 2.396000+1 2.511900-2 2.668200+1 3.162300-2 2.922500+1 3.981100-2 3.139300+1 5.011900-2 3.301900+1 6.309600-2 3.405900+1 7.943300-2 3.450900+1 1.000000-1 3.439100+1 1.258900-1 3.371400+1 1.584900-1 3.255600+1 1.995300-1 3.103000+1 2.511900-1 2.924100+1 3.162300-1 2.728300+1 3.981100-1 2.523700+1 5.011900-1 2.316000+1 6.309600-1 2.110100+1 7.943300-1 1.909100+1 1.000000+0 1.715900+1 1.258900+0 1.532000+1 1.584900+0 1.358600+1 1.995300+0 1.196900+1 2.511900+0 1.047600+1 3.162300+0 9.112100+0 3.981100+0 7.878100+0 5.011900+0 6.772800+0 6.309600+0 5.791500+0 7.943300+0 4.929200+0 1.000000+1 4.176400+0 1.258900+1 3.524200+0 1.584900+1 2.963000+0 1.995300+1 2.482900+0 2.511900+1 2.074300+0 3.162300+1 1.728300+0 3.981100+1 1.436400+0 5.011900+1 1.191200+0 6.309600+1 9.859300-1 7.943300+1 8.145100-1 1.000000+2 6.717800-1 1.258900+2 5.532300-1 1.584900+2 4.549600-1 1.995300+2 3.736800-1 2.511900+2 3.065500-1 3.162300+2 2.512200-1 3.981100+2 2.056600-1 5.011900+2 1.682100-1 6.309600+2 1.374500-1 7.943300+2 1.122300-1 1.000000+3 9.156800-2 1.258900+3 7.465500-2 1.584900+3 6.082400-2 1.995300+3 4.952300-2 2.511900+3 4.029800-2 3.162300+3 3.277200-2 3.981100+3 2.663700-2 5.011900+3 2.163900-2 6.309600+3 1.757000-2 7.943300+3 1.426000-2 1.000000+4 1.156700-2 1.258900+4 9.379500-3 1.584900+4 7.602200-3 1.995300+4 6.159200-3 2.511900+4 4.988200-3 3.162300+4 4.038300-3 3.981100+4 3.268100-3 5.011900+4 2.643900-3 6.309600+4 2.138200-3 7.943300+4 1.728700-3 1.000000+5 1.397200-3 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159548-4 3.981072-4 3.976752-4 5.011872-4 5.005048-4 6.309573-4 6.298787-4 7.943282-4 7.926349-4 1.000000-3 9.973416-4 1.258925-3 1.254763-3 1.584893-3 1.578383-3 1.995262-3 1.985126-3 2.511886-3 2.496093-3 3.162278-3 3.137661-3 3.981072-3 3.942586-3 5.011872-3 4.951767-3 6.309573-3 6.215446-3 7.943282-3 7.795978-3 1.000000-2 9.770079-3 1.258925-2 1.223371-2 1.584893-2 1.530034-2 1.995262-2 1.910756-2 2.511886-2 2.381960-2 3.162278-2 2.963427-2 3.981072-2 3.678771-2 5.011872-2 4.556310-2 6.309573-2 5.628153-2 7.943282-2 6.931759-2 1.000000-1 8.508824-2 1.258925-1 1.041269-1 1.584893-1 1.270368-1 1.995262-1 1.544580-1 2.511886-1 1.872030-1 3.162278-1 2.261516-1 3.981072-1 2.723051-1 5.011872-1 3.269035-1 6.309573-1 3.913551-1 7.943282-1 4.673397-1 1.000000+0 5.566304-1 1.258925+0 6.619713-1 1.584893+0 7.863500-1 1.995262+0 9.334451-1 2.511886+0 1.108036+0 3.162278+0 1.315771+0 3.981072+0 1.563769+0 5.011872+0 1.860655+0 6.309573+0 2.216875+0 7.943282+0 2.645360+0 1.000000+1 3.161986+0 1.258925+1 3.786177+0 1.584893+1 4.541244+0 1.995262+1 5.456504+0 2.511886+1 6.567275+0 3.162278+1 7.917260+0 3.981072+1 9.559762+0 5.011872+1 1.156058+1 6.309573+1 1.400030+1 7.943282+1 1.697792+1 1.000000+2 2.061533+1 1.258925+2 2.506264+1 1.584893+2 3.050416+1 1.995262+2 3.716761+1 2.511886+2 4.533278+1 3.162278+2 5.534539+1 3.981072+2 6.762988+1 5.011872+2 8.271327+1 6.309573+2 1.012426+2 7.943282+2 1.240189+2 1.000000+3 1.520282+2 1.258925+3 1.864926+2 1.584893+3 2.289148+2 1.995262+3 2.811716+2 2.511886+3 3.455503+2 3.162278+3 4.249337+2 3.981072+3 5.228241+2 5.011872+3 6.435842+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739859-9 3.981072-5 4.341986-9 5.011872-5 6.881221-9 6.309573-5 1.090561-8 7.943282-5 1.728325-8 1.000000-4 2.738503-8 1.258925-4 4.339490-8 1.584893-4 6.874170-8 1.995262-4 1.089018-7 2.511886-4 1.724637-7 3.162278-4 2.729942-7 3.981072-4 4.319229-7 5.011872-4 6.824596-7 6.309573-4 1.078633-6 7.943282-4 1.693308-6 1.000000-3 2.658393-6 1.258925-3 4.162471-6 1.584893-3 6.510606-6 1.995262-3 1.013612-5 2.511886-3 1.579390-5 3.162278-3 2.461697-5 3.981072-3 3.848578-5 5.011872-3 6.010498-5 6.309573-3 9.412709-5 7.943282-3 1.473044-4 1.000000-2 2.299212-4 1.258925-2 3.555417-4 1.584893-2 5.485896-4 1.995262-2 8.450661-4 2.511886-2 1.299263-3 3.162278-2 1.988503-3 3.981072-2 3.023002-3 5.011872-2 4.555620-3 6.309573-2 6.814200-3 7.943282-2 1.011524-2 1.000000-1 1.491176-2 1.258925-1 2.176562-2 1.584893-1 3.145248-2 1.995262-1 4.506822-2 2.511886-1 6.398561-2 3.162278-1 9.007612-2 3.981072-1 1.258020-1 5.011872-1 1.742837-1 6.309573-1 2.396023-1 7.943282-1 3.269886-1 1.000000+0 4.433696-1 1.258925+0 5.969541-1 1.584893+0 7.985432-1 1.995262+0 1.061817+0 2.511886+0 1.403851+0 3.162278+0 1.846507+0 3.981072+0 2.417302+0 5.011872+0 3.151217+0 6.309573+0 4.092698+0 7.943282+0 5.297923+0 1.000000+1 6.838014+0 1.258925+1 8.803077+0 1.584893+1 1.130769+1 1.995262+1 1.449612+1 2.511886+1 1.855159+1 3.162278+1 2.370552+1 3.981072+1 3.025095+1 5.011872+1 3.855814+1 6.309573+1 4.909543+1 7.943282+1 6.245491+1 1.000000+2 7.938467+1 1.258925+2 1.008299+2 1.584893+2 1.279852+2 1.995262+2 1.623586+2 2.511886+2 2.058559+2 3.162278+2 2.608824+2 3.981072+2 3.304773+2 5.011872+2 4.184740+2 6.309573+2 5.297147+2 7.943282+2 6.703093+2 1.000000+3 8.479718+2 1.258925+3 1.072433+3 1.584893+3 1.355978+3 1.995262+3 1.714091+3 2.511886+3 2.166336+3 3.162278+3 2.737344+3 3.981072+3 3.458248+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.290000-6 2.928470+7 5.821032-6 2.437205+7 6.309573-6 2.073865+7 6.839116-6 1.753890+7 7.000000-6 1.668358+7 7.000000-6 2.949159+7 7.244360-6 2.776427+7 7.413102-6 2.663475+7 7.673615-6 2.499192+7 8.128305-6 2.240643+7 8.709636-6 1.952945+7 8.912509-6 1.863155+7 9.225714-6 1.733856+7 9.772372-6 1.533736+7 9.885531-6 1.495934+7 1.050000-5 1.308766+7 1.071519-5 1.249947+7 1.122018-5 1.124201+7 1.188502-5 9.819487+6 1.202264-5 9.553392+6 1.303167-5 7.850583+6 1.310000-5 7.749150+6 1.420000-5 6.325005+6 1.462177-5 5.867707+6 1.505000-5 5.444247+6 1.505000-5 8.356927+6 1.531087-5 7.905999+6 1.650000-5 6.212488+6 1.659587-5 6.097862+6 1.678804-5 5.875608+6 1.862087-5 4.211715+6 1.905461-5 3.912442+6 2.113489-5 2.813579+6 2.213095-5 2.431851+6 2.264644-5 2.262493+6 2.426610-5 1.823046+6 2.500000-5 1.662769+6 2.580000-5 1.508250+6 2.603000-5 1.467725+6 2.603000-5 5.318243+6 2.640000-5 5.303303+6 2.670000-5 5.318307+6 2.700000-5 5.357334+6 2.730000-5 5.424414+6 2.735600-5 5.437409+6 2.765000-5 5.531348+6 2.800000-5 5.676639+6 2.840000-5 5.887410+6 2.851018-5 5.957747+6 2.881000-5 6.156176+6 2.881000-5 8.146032+6 2.884032-5 8.170492+6 2.917427-5 8.474216+6 2.920000-5 8.499255+6 2.951209-5 8.834074+6 2.965000-5 8.991906+6 2.970000-5 9.053903+6 3.010000-5 9.584121+6 3.020000-5 9.726513+6 3.040000-5 1.003387+7 3.054921-5 1.027629+7 3.080000-5 1.069803+7 3.120000-5 1.145609+7 3.162278-5 1.233702+7 3.210000-5 1.345790+7 3.260000-5 1.476147+7 3.273407-5 1.513635+7 3.315000-5 1.635768+7 3.370000-5 1.813830+7 3.388442-5 1.875837+7 3.450000-5 2.099749+7 3.507519-5 2.322699+7 3.526900-5 2.402536+7 3.590000-5 2.668221+7 3.610000-5 2.753824+7 3.630781-5 2.845389+7 3.650000-5 2.931583+7 3.715352-5 3.225348+7 3.730000-5 3.289684+7 3.770000-5 3.471249+7 3.830000-5 3.736716+7 3.850000-5 3.819916+7 3.890451-5 3.993266+7 3.900000-5 4.031747+7 3.935501-5 4.172892+7 3.950000-5 4.231798+7 3.981072-5 4.345691+7 4.000000-5 4.416432+7 4.050000-5 4.584262+7 4.110000-5 4.760402+7 4.113100-5 4.769000+7 4.120975-5 4.788067+7 4.168694-5 4.905268+7 4.220000-5 5.007254+7 4.265795-5 5.075934+7 4.280000-5 5.097490+7 4.330000-5 5.146872+7 4.350000-5 5.163236+7 4.370000-5 5.173620+7 4.415704-5 5.189548+7 4.420000-5 5.191075+7 4.485000-5 5.182300+7 4.500000-5 5.177181+7 4.540000-5 5.154454+7 4.570882-5 5.130977+7 4.610000-5 5.094304+7 4.650000-5 5.049432+7 4.677351-5 5.014006+7 4.680000-5 5.010605+7 4.731513-5 4.935728+7 4.760000-5 4.895239+7 4.850000-5 4.741935+7 4.950000-5 4.552193+7 4.954502-5 4.543366+7 5.000000-5 4.455574+7 5.040000-5 4.375825+7 5.128614-5 4.198002+7 5.150000-5 4.156638+7 5.188000-5 4.077717+7 5.248075-5 3.957149+7 5.300000-5 3.856904+7 5.350000-5 3.760127+7 5.450000-5 3.569588+7 5.500000-5 3.476530+7 5.580000-5 3.334323+7 5.650000-5 3.212648+7 5.800000-5 2.964845+7 5.821032-5 2.932154+7 5.900000-5 2.810272+7 6.025596-5 2.625537+7 6.095369-5 2.529762+7 6.165950-5 2.434955+7 6.309573-5 2.251945+7 6.382635-5 2.165678+7 6.456542-5 2.080611+7 6.683439-5 1.840376+7 6.760830-5 1.764913+7 6.800000-5 1.727513+7 7.000000-5 1.551515+7 7.079458-5 1.486597+7 7.300000-5 1.320697+7 7.328245-5 1.301175+7 7.413102-5 1.243637+7 7.500000-5 1.187048+7 7.673615-5 1.083325+7 7.800000-5 1.013826+7 8.128305-5 8.555263+6 8.300000-5 7.839755+6 8.317638-5 7.769677+6 8.413951-5 7.400457+6 8.609938-5 6.713977+6 8.709636-5 6.395118+6 8.764000-5 6.227231+6 8.764000-5 7.328475+6 8.820000-5 7.188356+6 8.880000-5 7.038328+6 8.912509-5 6.956089+6 8.940000-5 6.887184+6 9.015711-5 6.695865+6 9.076600-5 6.543078+6 9.150000-5 6.360638+6 9.230000-5 6.164467+6 9.332543-5 5.917928+6 9.350000-5 5.876886+6 9.440609-5 5.664334+6 9.450000-5 5.642899+6 9.549926-5 5.416556+6 9.580000-5 5.350794+6 9.660509-5 5.176073+6 9.772372-5 4.943628+6 9.800000-5 4.887313+6 1.000000-4 4.503187+6 1.011579-4 4.295716+6 1.023293-4 4.096201+6 1.040000-4 3.831572+6 1.047129-4 3.724718+6 1.083927-4 3.225907+6 1.096478-4 3.073881+6 1.109100-4 2.930064+6 1.109100-4 3.417832+6 1.113500-4 3.393410+6 1.117000-4 3.372922+6 1.121000-4 3.348485+6 1.122018-4 3.341711+6 1.126500-4 3.312405+6 1.130000-4 3.288157+6 1.135011-4 3.251946+6 1.142000-4 3.199643+6 1.148154-4 3.151380+6 1.154000-4 3.103994+6 1.161449-4 3.042147+6 1.169000-4 2.977638+6 1.174898-4 2.926546+6 1.177000-4 2.908661+6 1.188502-4 2.809308+6 1.190000-4 2.796175+6 1.202264-4 2.691856+6 1.216186-4 2.576040+6 1.235000-4 2.426072+6 1.244515-4 2.353135+6 1.260000-4 2.240704+6 1.300000-4 1.975996+6 1.303167-4 1.957014+6 1.350000-4 1.701362+6 1.364583-4 1.631205+6 1.400000-4 1.476196+6 1.412538-4 1.426607+6 1.428894-4 1.365256+6 1.450000-4 1.291730+6 1.478100-4 1.203057+6 1.478100-4 1.323474+6 1.479108-4 1.323763+6 1.480000-4 1.323535+6 1.482200-4 1.323257+6 1.484500-4 1.322715+6 1.487500-4 1.321672+6 1.490500-4 1.320374+6 1.495000-4 1.317786+6 1.499200-4 1.314802+6 1.502000-4 1.312468+6 1.507000-4 1.307683+6 1.507700-4 1.306880+6 1.512000-4 1.302323+6 1.513561-4 1.300413+6 1.516500-4 1.296934+6 1.520000-4 1.292380+6 1.525000-4 1.285354+6 1.528300-4 1.280216+6 1.528300-4 1.338996+6 1.530400-4 1.335755+6 1.530400-4 1.423861+6 1.531087-4 1.424648+6 1.532000-4 1.425126+6 1.534000-4 1.425897+6 1.537000-4 1.426867+6 1.540000-4 1.427481+6 1.541000-4 1.427567+6 1.545000-4 1.427229+6 1.548817-4 1.426586+6 1.552000-4 1.425366+6 1.555000-4 1.423869+6 1.557000-4 1.422715+6 1.561500-4 1.419500+6 1.565000-4 1.416568+6 1.566751-4 1.414942+6 1.568000-4 1.413616+6 1.572000-4 1.409546+6 1.575000-4 1.406103+6 1.578000-4 1.402399+6 1.584893-4 1.393090+6 1.585000-4 1.392950+6 1.590000-4 1.385714+6 1.593000-4 1.381187+6 1.600000-4 1.369952+6 1.603245-4 1.364452+6 1.610000-4 1.353367+6 1.621810-4 1.332466+6 1.630000-4 1.317607+6 1.635000-4 1.308740+6 1.640590-4 1.298586+6 1.648000-4 1.285539+6 1.659587-4 1.265058+6 1.660000-4 1.264355+6 1.672800-4 1.243392+6 1.678804-4 1.233704+6 1.680000-4 1.231806+6 1.698244-4 1.204521+6 1.705000-4 1.195213+6 1.710000-4 1.188523+6 1.720000-4 1.175734+6 1.733000-4 1.161107+6 1.737801-4 1.156064+6 1.740000-4 1.153764+6 1.755000-4 1.140000+6 1.760000-4 1.135842+6 1.777000-4 1.123727+6 1.778279-4 1.122916+6 1.780000-4 1.121851+6 1.792000-4 1.116065+6 1.800000-4 1.112823+6 1.810000-4 1.109814+6 1.820000-4 1.107651+6 1.821700-4 1.107371+6 1.828000-4 1.106910+6 1.835000-4 1.106966+6 1.842000-4 1.107264+6 1.850000-4 1.108391+6 1.862087-4 1.111300+6 1.865000-4 1.112064+6 1.873000-4 1.115045+6 1.883649-4 1.119977+6 1.890000-4 1.123258+6 1.905461-4 1.133762+6 1.915000-4 1.140927+6 1.927525-4 1.152493+6 1.930000-4 1.154902+6 1.940000-4 1.165060+6 1.950000-4 1.176272+6 1.972423-4 1.205321+6 1.980000-4 1.216167+6 1.995262-4 1.239349+6 2.000000-4 1.247217+6 2.020000-4 1.283023+6 2.041738-4 1.325358+6 2.060000-4 1.364945+6 2.065380-4 1.377207+6 2.080000-4 1.411843+6 2.089296-4 1.434835+6 2.100000-4 1.462337+6 2.113489-4 1.498705+6 2.137962-4 1.569043+6 2.150000-4 1.605797+6 2.162719-4 1.645135+6 2.187762-4 1.727211+6 2.190000-4 1.734869+6 2.205000-4 1.787612+6 2.213095-4 1.816179+6 2.240000-4 1.914258+6 2.264644-4 2.007631+6 2.280000-4 2.067733+6 2.290868-4 2.110108+6 2.300000-4 2.146579+6 2.317395-4 2.216753+6 2.344229-4 2.325883+6 2.365000-4 2.412116+6 2.371374-4 2.438193+6 2.390000-4 2.516554+6 2.400000-4 2.558516+6 2.430000-4 2.683385+6 2.450000-4 2.767561+6 2.454709-4 2.786809+6 2.480000-4 2.892757+6 2.500000-4 2.976604+6 2.511886-4 3.024989+6 2.520000-4 3.058433+6 2.540973-4 3.143757+6 2.560000-4 3.223245+6 2.570396-4 3.265067+6 2.580000-4 3.302788+6 2.620000-4 3.464300+6 2.630268-4 3.503305+6 2.650000-4 3.579328+6 2.660725-4 3.621274+6 2.670000-4 3.657923+6 2.691535-4 3.736456+6 2.730000-4 3.880150+6 2.770000-4 4.018659+6 2.786121-4 4.075634+6 2.818383-4 4.178251+6 2.851018-4 4.283931+6 2.900000-4 4.424298+6 2.917427-4 4.474993+6 2.985383-4 4.646267+6 2.985500-4 4.646544+6 3.019952-4 4.720498+6 3.054921-4 4.796120+6 3.126079-4 4.923791+6 3.130000-4 4.930854+6 3.150000-4 4.960053+6 3.200000-4 5.033055+6 3.280000-4 5.125965+6 3.311311-4 5.151900+6 3.350000-4 5.183861+6 3.388442-4 5.215425+6 3.390000-4 5.216700+6 3.507519-4 5.272770+6 3.550000-4 5.279105+6 3.600000-4 5.286394+6 3.630781-4 5.290896+6 3.650000-4 5.287907+6 3.740000-4 5.274063+6 3.758374-4 5.269267+6 3.780000-4 5.260327+6 3.845918-4 5.233345+6 3.850000-4 5.231695+6 3.890451-4 5.211122+6 3.935501-4 5.182245+6 4.000000-4 5.141717+6 4.027170-4 5.122203+6 4.050000-4 5.105936+6 4.120975-4 5.048060+6 4.124900-4 5.044903+6 4.124900-4 5.156013+6 4.168694-4 5.139139+6 4.171000-4 5.138153+6 4.210000-4 5.121910+6 4.216965-4 5.119061+6 4.245000-4 5.105640+6 4.275000-4 5.091572+6 4.280000-4 5.089154+6 4.303000-4 5.078430+6 4.330000-4 5.065457+6 4.343600-4 5.058949+6 4.352300-4 5.054187+6 4.352300-4 5.152633+6 4.365158-4 5.144465+6 4.370000-4 5.140823+6 4.385000-4 5.130234+6 4.390000-4 5.126547+6 4.405000-4 5.116267+6 4.415704-4 5.109506+6 4.420000-4 5.106264+6 4.430000-4 5.099237+6 4.440000-4 5.092709+6 4.450000-4 5.086711+6 4.465000-4 5.078111+6 4.478000-4 5.071469+6 4.490000-4 5.065789+6 4.507000-4 5.057425+6 4.518559-4 5.051618+6 4.519970-4 5.050918+6 4.523000-4 5.049423+6 4.530000-4 5.045706+6 4.540000-4 5.040130+6 4.558000-4 5.029499+6 4.570882-4 5.021512+6 4.580000-4 5.014970+6 4.600000-4 5.000178+6 4.623810-4 4.982328+6 4.630000-4 4.977195+6 4.665000-4 4.946900+6 4.700000-4 4.916718+6 4.731513-4 4.889550+6 4.746500-4 4.876744+6 4.786301-4 4.842476+6 4.800000-4 4.830074+6 4.841724-4 4.792249+6 4.850000-4 4.784837+6 4.897788-4 4.739016+6 5.011872-4 4.634387+6 5.040000-4 4.608314+6 5.080000-4 4.571426+6 5.150000-4 4.504729+6 5.188000-4 4.468926+6 5.248075-4 4.413769+6 5.308844-4 4.357431+6 5.370318-4 4.300856+6 5.450000-4 4.226412+6 5.495409-4 4.185013+6 5.500000-4 4.180881+6 5.559043-4 4.128524+6 5.623413-4 4.070328+6 5.700100-4 4.003013+6 5.800000-4 3.915252+6 5.888437-4 3.840037+6 5.900000-4 3.830013+6 5.956621-4 3.781678+6 6.000000-4 3.745496+6 6.025596-4 3.724172+6 6.100000-4 3.661074+6 6.165950-4 3.606545+6 6.237348-4 3.549408+6 6.309573-4 3.491222+6 6.343000-4 3.464694+6 6.343000-4 3.668674+6 6.382635-4 3.637213+6 6.500000-4 3.544061+6 6.606934-4 3.462461+6 6.650000-4 3.429683+6 6.683439-4 3.404542+6 6.700000-4 3.392225+6 6.760830-4 3.347724+6 6.839116-4 3.291354+6 6.850000-4 3.283442+6 7.000000-4 3.177280+6 7.079458-4 3.123243+6 7.161434-4 3.067514+6 7.300000-4 2.976756+6 7.328245-4 2.958369+6 7.413102-4 2.904339+6 7.498942-4 2.850834+6 7.500000-4 2.850186+6 7.560200-4 2.812795+6 7.560200-4 2.851050+6 7.673615-4 2.782981+6 7.800000-4 2.710335+6 8.000000-4 2.597821+6 8.035261-4 2.578849+6 8.128305-4 2.529191+6 8.222426-4 2.480401+6 8.317638-4 2.432130+6 8.413951-4 2.384797+6 8.511380-4 2.337710+6 8.609938-4 2.291380+6 8.700000-4 2.249836+6 8.709636-4 2.245424+6 8.767200-4 2.219352+6 8.767200-4 2.263722+6 8.810489-4 2.244315+6 8.912509-4 2.199656+6 9.000000-4 2.162340+6 9.015711-4 2.155758+6 9.120108-4 2.112096+6 9.225714-4 2.069395+6 9.332543-4 2.026765+6 9.440609-4 1.985148+6 9.500000-4 1.962896+6 9.660509-4 1.904524+6 9.772372-4 1.865611+6 9.885531-4 1.826668+6 9.930000-4 1.811717+6 1.000000-3 1.788573+6 1.011579-3 1.750577+6 1.023293-3 1.713495+6 1.035142-3 1.677317+6 1.047129-3 1.641584+6 1.050000-3 1.633218+6 1.059254-3 1.606710+6 1.083927-3 1.538027+6 1.096478-3 1.504631+6 1.109175-3 1.471728+6 1.122018-3 1.439642+6 1.135011-3 1.408036+6 1.148154-3 1.377197+6 1.150000-3 1.372956+6 1.174898-3 1.317232+6 1.202264-3 1.259257+6 1.216186-3 1.231145+6 1.230269-3 1.203594+6 1.244515-3 1.176748+6 1.258925-3 1.150299+6 1.273503-3 1.124266+6 1.276100-3 1.119693+6 1.288250-3 1.098653+6 1.318257-3 1.049012+6 1.333521-3 1.025072+6 1.364583-3 9.786001+5 1.380384-3 9.560092+5 1.400000-3 9.289423+5 1.412538-3 9.121760+5 1.428894-3 8.909893+5 1.445440-3 8.703579+5 1.462177-3 8.500329+5 1.479108-3 8.302410+5 1.500000-3 8.064966+5 1.513561-3 7.916619+5 1.566751-3 7.369006+5 1.570000-3 7.337215+5 1.584893-3 7.194060+5 1.603245-3 7.023425+5 1.640590-3 6.693028+5 1.659587-3 6.533081+5 1.678804-3 6.375960+5 1.698244-3 6.222843+5 1.730000-3 5.982427+5 1.737801-3 5.925215+5 1.757924-3 5.781315+5 1.798871-3 5.504844+5 1.819701-3 5.372129+5 1.850000-3 5.186372+5 1.883649-3 4.988860+5 1.900000-3 4.896761+5 1.905461-3 4.866405+5 1.949845-3 4.629866+5 1.972423-3 4.516377+5 2.018366-3 4.297157+5 2.041738-3 4.190587+5 2.070000-3 4.066058+5 2.089296-3 3.984286+5 2.162719-3 3.693892+5 2.187762-3 3.601841+5 2.213095-3 3.512158+5 2.238721-3 3.423791+5 2.264644-3 3.337248+5 2.290868-3 3.253089+5 2.344229-3 3.091394+5 2.371374-3 3.013809+5 2.400000-3 2.934669+5 2.426610-3 2.863337+5 2.454709-3 2.790038+5 2.489000-3 2.704139+5 2.489000-3 6.826965+5 2.511886-3 6.712651+5 2.570396-3 6.433922+5 2.594700-3 6.323632+5 2.594700-3 8.669703+5 2.613000-3 8.585357+5 2.630268-3 8.507265+5 2.660725-3 8.372559+5 2.691535-3 8.240115+5 2.722701-3 8.110506+5 2.740000-3 8.040201+5 2.754229-3 7.978394+5 2.786121-3 7.843012+5 2.806600-3 7.758363+5 2.810000-3 7.743457+5 2.851018-3 7.517705+5 2.884032-3 7.332713+5 2.900000-3 7.245549+5 2.917427-3 7.149815+5 2.951209-3 6.969172+5 3.000000-3 6.686127+5 3.019952-3 6.574904+5 3.051000-3 6.404854+5 3.054600-3 6.385541+5 3.054600-3 7.398942+5 3.054921-3 7.397132+5 3.090295-3 7.201500+5 3.124000-3 7.022271+5 3.126079-3 7.010948+5 3.162278-3 6.817968+5 3.198895-3 6.630157+5 3.235937-3 6.447402+5 3.311311-3 6.094806+5 3.349654-3 5.926083+5 3.388442-3 5.760517+5 3.400000-3 5.712476+5 3.427678-3 5.599706+5 3.467369-3 5.443302+5 3.500000-3 5.319371+5 3.507519-3 5.291345+5 3.548134-3 5.143400+5 3.549300-3 5.139241+5 3.549300-3 5.449989+5 3.549900-3 5.447806+5 3.550000-3 5.449831+5 3.589219-3 5.310271+5 3.630781-3 5.167129+5 3.650000-3 5.102881+5 3.672823-3 5.027639+5 3.685000-3 4.987817+5 3.715352-3 4.889488+5 3.758374-3 4.754878+5 3.801894-3 4.624126+5 3.824300-3 4.558862+5 3.824300-3 4.753841+5 3.845918-3 4.690817+5 3.890451-3 4.564490+5 3.900000-3 4.538060+5 3.935501-3 4.441116+5 4.000000-3 4.271683+5 4.027170-3 4.203040+5 4.073803-3 4.088984+5 4.120975-3 3.977164+5 4.150000-3 3.910581+5 4.168694-3 3.868440+5 4.265795-3 3.659938+5 4.300000-3 3.590074+5 4.365158-3 3.462172+5 4.415704-3 3.366813+5 4.466836-3 3.274357+5 4.518559-3 3.184558+5 4.570882-3 3.096412+5 4.623810-3 3.010842+5 4.677351-3 2.927759+5 4.731513-3 2.846695+5 4.786301-3 2.767707+5 4.841724-3 2.690908+5 4.954502-3 2.543353+5 5.011872-3 2.472832+5 5.069907-3 2.404161+5 5.128614-3 2.337498+5 5.150000-3 2.313705+5 5.188000-3 2.272209+5 5.308844-3 2.146047+5 5.370318-3 2.085630+5 5.432503-3 2.027007+5 5.495409-3 1.969719+5 5.500000-3 1.965629+5 5.559043-3 1.913993+5 5.623413-3 1.859771+5 5.688529-3 1.807132+5 5.821032-3 1.706079+5 5.888437-3 1.657755+5 6.025596-3 1.565342+5 6.095369-3 1.520995+5 6.237348-3 1.436237+5 6.309573-3 1.395742+5 6.382635-3 1.356434+5 6.400000-3 1.347321+5 6.456542-3 1.318173+5 6.531306-3 1.280617+5 6.683439-3 1.207919+5 6.760830-3 1.173219+5 6.918310-3 1.106942+5 6.998420-3 1.075249+5 7.000000-3 1.074638+5 7.079458-3 1.044363+5 7.161434-3 1.014390+5 7.244360-3 9.851931+4 7.328245-3 9.567302+4 7.413102-3 9.291304+4 7.585776-3 8.762216+4 7.673615-3 8.509588+4 7.852356-3 8.027068+4 8.000000-3 7.657833+4 8.035261-3 7.572970+4 8.128305-3 7.355163+4 8.222426-3 7.143469+4 8.317638-3 6.935605+4 8.413951-3 6.733312+4 8.609938-3 6.346074+4 9.000000-3 5.665396+4 9.015711-3 5.640227+4 9.120108-3 5.476043+4 9.225714-3 5.316619+4 9.332543-3 5.161540+4 9.440609-3 5.010666+4 9.500000-3 4.930119+4 9.549926-3 4.863767+4 9.660509-3 4.721295+4 9.772372-3 4.583206+4 1.000000-2 4.319596+4 1.011579-2 4.193827+4 1.023293-2 4.071349+4 1.035142-2 3.952507+4 1.040000-2 3.904898+4 1.047129-2 3.836460+4 1.059254-2 3.723456+4 1.071519-2 3.613572+4 1.083927-2 3.507041+4 1.096478-2 3.403513+4 1.109175-2 3.303174+4 1.122018-2 3.205947+4 1.135011-2 3.111664+4 1.148154-2 3.020290+4 1.161449-2 2.931664+4 1.174898-2 2.845351+4 1.188502-2 2.761352+4 1.190000-2 2.752320+4 1.202264-2 2.679794+4 1.216186-2 2.600471+4 1.219600-2 2.581487+4 1.230269-2 2.523420+4 1.244515-2 2.448747+4 1.273503-2 2.306211+4 1.288250-2 2.238237+4 1.303167-2 2.171902+4 1.304000-2 2.168258+4 1.304000-2 5.460587+4 1.327000-2 5.197526+4 1.333521-2 5.130536+4 1.348963-2 4.976631+4 1.350000-2 4.966527+4 1.364583-2 4.827310+4 1.365000-2 4.823406+4 1.380384-2 4.680352+4 1.396368-2 4.537730+4 1.412538-2 4.399498+4 1.445440-2 4.135760+4 1.450000-2 4.100945+4 1.462177-2 4.009875+4 1.479108-2 3.886192+4 1.500000-2 3.740499+4 1.513561-2 3.649738+4 1.525100-2 3.574892+4 1.525100-2 4.992691+4 1.531087-2 4.942886+4 1.536000-2 4.902514+4 1.543000-2 4.845791+4 1.548817-2 4.797374+4 1.566751-2 4.652235+4 1.580000-2 4.548843+4 1.584700-2 4.512908+4 1.584700-2 5.218546+4 1.584893-2 5.216923+4 1.603245-2 5.065823+4 1.621810-2 4.919206+4 1.640590-2 4.778168+4 1.659587-2 4.641288+4 1.660000-2 4.638372+4 1.678804-2 4.507197+4 1.698244-2 4.377054+4 1.710000-2 4.300769+4 1.737801-2 4.129417+4 1.757924-2 4.010693+4 1.778279-2 3.895492+4 1.785000-2 3.858492+4 1.798871-2 3.782885+4 1.800000-2 3.776755+4 1.819701-2 3.671963+4 1.840772-2 3.564339+4 1.862087-2 3.459936+4 1.905461-2 3.260232+4 1.927525-2 3.164737+4 1.949845-2 3.072453+4 1.972423-2 2.982945+4 1.995262-2 2.896081+4 2.018366-2 2.811352+4 2.041738-2 2.729106+4 2.065380-2 2.648705+4 2.089296-2 2.570715+4 2.113489-2 2.495092+4 2.137962-2 2.421260+4 2.162719-2 2.349673+4 2.187762-2 2.280188+4 2.264644-2 2.083856+4 2.268170-2 2.075359+4 2.290868-2 2.021806+4 2.317395-2 1.961652+4 2.344229-2 1.903333+4 2.371374-2 1.846790+4 2.398833-2 1.791955+4 2.400000-2 1.789675+4 2.426610-2 1.738743+4 2.454709-2 1.687149+4 2.483133-2 1.637115+4 2.511886-2 1.588148+4 2.540973-2 1.540574+4 2.600160-2 1.449225+4 2.630268-2 1.405624+4 2.660725-2 1.363368+4 2.691535-2 1.322412+4 2.722701-2 1.282717+4 2.754229-2 1.244234+4 2.786121-2 1.206933+4 2.818383-2 1.170778+4 2.851018-2 1.135735+4 2.884032-2 1.101737+4 2.900000-2 1.085801+4 2.917427-2 1.068755+4 3.000000-2 9.922572+3 3.019952-2 9.749220+3 3.054921-2 9.455481+3 3.090295-2 9.170815+3 3.126079-2 8.894887+3 3.150000-2 8.715627+3 3.198895-2 8.364596+3 3.235937-2 8.109810+3 3.349654-2 7.392182+3 3.388442-2 7.167459+3 3.467369-2 6.737967+3 3.507519-2 6.533117+3 3.548134-2 6.334639+3 3.589219-2 6.142344+3 3.672823-2 5.775493+3 3.715352-2 5.600007+3 3.758374-2 5.429054+3 3.890451-2 4.947592+3 3.935501-2 4.796069+3 3.981072-2 4.649186+3 4.027170-2 4.506784+3 4.120975-2 4.235083+3 4.168694-2 4.104717+3 4.265795-2 3.856167+3 4.365158-2 3.622987+3 4.415704-2 3.511820+3 4.466836-2 3.404140+3 4.500000-2 3.336744+3 4.518559-2 3.299834+3 4.570882-2 3.198691+3 4.623810-2 3.100722+3 4.677351-2 3.005383+3 4.731513-2 2.912924+3 4.786301-2 2.823359+3 4.841724-2 2.736268+3 4.954502-2 2.570252+3 5.011872-2 2.490606+3 5.069907-2 2.413481+3 5.188000-2 2.266464+3 5.248075-2 2.196398+3 5.308844-2 2.128544+3 5.370318-2 2.062769+3 5.432503-2 1.999066+3 5.495409-2 1.937261+3 5.623413-2 1.819416+3 5.688529-2 1.763257+3 5.754399-2 1.708869+3 5.800000-2 1.672574+3 5.821032-2 1.656110+3 6.000000-2 1.523943+3 6.095369-2 1.459432+3 6.165950-2 1.414099+3 6.237348-2 1.370204+3 6.309573-2 1.327687+3 6.382635-2 1.286484+3 6.456542-2 1.246587+3 6.500000-2 1.223921+3 6.531306-2 1.207927+3 6.683439-2 1.133774+3 6.760830-2 1.098453+3 6.918310-2 1.031129+3 7.244360-2 9.088190+2 7.328245-2 8.805584+2 7.413102-2 8.531920+2 7.498942-2 8.266393+2 7.585776-2 8.009221+2 7.673615-2 7.758525+2 7.762471-2 7.515808+2 7.852356-2 7.280552+2 7.943282-2 7.052751+2 8.035261-2 6.832197+2 8.128305-2 6.618545+2 8.222426-2 6.411691+2 8.317638-2 6.211414+2 8.413951-2 6.017479+2 8.829000-2 5.270897+2 8.829000-2 2.482912+3 9.015711-2 2.355871+3 9.120108-2 2.288692+3 9.225714-2 2.223440+3 9.440609-2 2.092962+3 9.500000-2 2.058773+3 9.660509-2 1.974026+3 9.772372-2 1.917827+3 9.885531-2 1.863236+3 9.900000-2 1.856414+3 1.000000-1 1.808348+3 1.023293-1 1.702883+3 1.047129-1 1.603594+3 1.071519-1 1.510118+3 1.083927-1 1.465397+3 1.109175-1 1.379906+3 1.122019-1 1.339054+3 1.135011-1 1.299417+3 1.161449-1 1.223624+3 1.188502-1 1.152270+3 1.230269-1 1.052990+3 1.273503-1 9.622965+2 1.303167-1 9.054724+2 1.348963-1 8.264044+2 1.364583-1 8.016188+2 1.412538-1 7.316449+2 1.445440-1 6.884337+2 1.462177-1 6.677978+2 1.479108-1 6.477215+2 1.500000-1 6.240754+2 1.531088-1 5.910522+2 1.548817-1 5.732990+2 1.640590-1 4.922369+2 1.678804-1 4.631259+2 1.698244-1 4.492182+2 1.757924-1 4.099576+2 1.778279-1 3.976510+2 1.819701-1 3.741366+2 1.840772-1 3.629085+2 1.883649-1 3.414659+2 1.905461-1 3.312256+2 1.949845-1 3.116676+2 2.000000-1 2.914346+2 2.018366-1 2.844784+2 2.041738-1 2.759540+2 2.065380-1 2.676868+2 2.089296-1 2.596677+2 2.162719-1 2.370258+2 2.187762-1 2.299270+2 2.213095-1 2.230413+2 2.238721-1 2.163651+2 2.264644-1 2.098898+2 2.290868-1 2.036087+2 2.300000-1 2.014824+2 2.317395-1 1.975181+2 2.344229-1 1.916110+2 2.398833-1 1.803223+2 2.400000-1 1.800912+2 2.426610-1 1.749855+2 2.454709-1 1.698095+2 2.483133-1 1.647867+2 2.540973-1 1.551830+2 2.570396-1 1.505935+2 2.630268-1 1.418229+2 2.660725-1 1.376318+2 2.691535-1 1.335693+2 2.722701-1 1.296290+2 2.754229-1 1.258062+2 2.818383-1 1.184961+2 2.851018-1 1.150021+2 2.884032-1 1.116115+2 2.917427-1 1.083214+2 2.951209-1 1.051722+2 3.000060-1 1.008422+2 3.019952-1 9.914976+1 3.090295-1 9.347274+1 3.126079-1 9.075743+1 3.198895-1 8.556446+1 3.235937-1 8.308062+1 3.273407-1 8.066902+1 3.311311-1 7.833117+1 3.349654-1 7.606193+1 3.388442-1 7.385949+1 3.427678-1 7.175614+1 3.467369-1 6.971330+1 3.548134-1 6.580108+1 3.589219-1 6.392819+1 3.672823-1 6.034313+1 3.715352-1 5.862682+1 3.758374-1 5.695936+1 3.801894-1 5.534012+1 3.845918-1 5.376698+1 3.890451-1 5.224147+1 3.935501-1 5.078506+1 4.000000-1 4.879871+1 4.027170-1 4.799465+1 4.073803-1 4.665753+1 4.168694-1 4.409606+1 4.216965-1 4.286919+1 4.265795-1 4.167649+1 4.315191-1 4.051699+1 4.415705-1 3.829429+1 4.466836-1 3.722919+1 4.518559-1 3.621571+1 4.570882-1 3.522986+1 4.623810-1 3.427134+1 4.677351-1 3.334001+1 4.731513-1 3.243398+1 4.786301-1 3.155273+1 4.841724-1 3.069556+1 4.897788-1 2.986171+1 4.954502-1 2.905052+1 5.011872-1 2.826139+1 5.069907-1 2.749374+1 5.128614-1 2.676349+1 5.188000-1 2.605469+1 5.248075-1 2.536517+1 5.308844-1 2.469428+1 5.370318-1 2.404125+1 5.432503-1 2.340550+1 5.495409-1 2.278665+1 5.623413-1 2.159767+1 5.688529-1 2.102697+1 5.754399-1 2.047146+1 5.821032-1 1.994186+1 5.888437-1 1.942634+1 5.956621-1 1.892545+1 6.000000-1 1.861643+1 6.025596-1 1.843749+1 6.165950-1 1.749955+1 6.237348-1 1.704871+1 6.309573-1 1.660973+1 6.382635-1 1.618212+1 6.456542-1 1.576554+1 6.531306-1 1.536884+1 6.683439-1 1.460530+1 6.760830-1 1.423879+1 6.839117-1 1.388150+1 6.918310-1 1.353338+1 6.998420-1 1.319413+1 7.079458-1 1.286351+1 7.161434-1 1.254119+1 7.244360-1 1.222716+1 7.328245-1 1.192106+1 7.413102-1 1.162923+1 7.498942-1 1.134455+1 7.585776-1 1.106685+1 7.673615-1 1.079657+1 7.762471-1 1.053290+1 7.943282-1 1.002510+1 8.000000-1 9.873214+0 8.035261-1 9.780487+0 8.222427-1 9.309637+0 8.317638-1 9.088497+0 8.511380-1 8.661862+0 8.609938-1 8.456723+0 8.709636-1 8.256479+0 8.810489-1 8.061172+0 8.912509-1 7.870611+0 9.015711-1 7.684585+0 9.120108-1 7.502959+0 9.225714-1 7.325636+0 9.332543-1 7.157127+0 9.440609-1 6.992773+0 9.549926-1 6.832771+0 9.660509-1 6.676432+0 9.772372-1 6.523682+0 9.885531-1 6.374568+0 1.000000+0 6.228996+0 1.011579+0 6.086943+0 1.023293+0 5.948120+0 1.035142+0 5.814886+0 1.047129+0 5.684629+0 1.059254+0 5.557319+0 1.071519+0 5.432865+0 1.083927+0 5.311263+0 1.096478+0 5.192617+0 1.109175+0 5.076726+0 1.122018+0 4.963436+0 1.135011+0 4.852694+0 1.148154+0 4.744508+0 1.161449+0 4.638751+0 1.174898+0 4.535352+0 1.188502+0 4.434322+0 1.202264+0 4.335540+0 1.216186+0 4.239039+0 1.230269+0 4.147174+0 1.244515+0 4.057302+0 1.250000+0 4.023504+0 1.258925+0 3.969613+0 1.273503+0 3.883930+0 1.288250+0 3.800095+0 1.303167+0 3.718181+0 1.318257+0 3.638045+0 1.333521+0 3.559705+0 1.348963+0 3.483050+0 1.364583+0 3.408050+0 1.380384+0 3.336534+0 1.396368+0 3.266528+0 1.412538+0 3.198003+0 1.428894+0 3.131132+0 1.462177+0 3.001596+0 1.479108+0 2.938903+0 1.500000+0 2.864340+0 1.513561+0 2.817495+0 1.531087+0 2.758686+0 1.548817+0 2.702687+0 1.584893+0 2.594085+0 1.640590+0 2.439809+0 1.659587+0 2.390501+0 1.678804+0 2.342198+0 1.698244+0 2.294870+0 1.717908+0 2.248506+0 1.737801+0 2.203128+0 1.757924+0 2.159919+0 1.778279+0 2.117559+0 1.798871+0 2.076029+0 1.819701+0 2.035452+0 1.840772+0 1.995668+0 1.862087+0 1.956662+0 1.883649+0 1.918458+0 1.927525+0 1.844286+0 1.949845+0 1.808286+0 1.972423+0 1.773036+0 2.000000+0 1.732594+0 2.018366+0 1.706475+0 2.044000+0 1.671060+0 2.065380+0 1.642507+0 2.089296+0 1.611484+0 2.113489+0 1.581047+0 2.137962+0 1.551215+0 2.162719+0 1.521950+0 2.187762+0 1.493237+0 2.213095+0 1.465070+0 2.264644+0 1.410385+0 2.290868+0 1.384514+0 2.317395+0 1.359119+0 2.344229+0 1.334191+0 2.371374+0 1.309798+0 2.398833+0 1.285852+0 2.426610+0 1.262343+0 2.454709+0 1.239288+0 2.483133+0 1.216657+0 2.511886+0 1.194441+0 2.540973+0 1.172631+0 2.600160+0 1.130252+0 2.630268+0 1.110196+0 2.660725+0 1.090495+0 2.691535+0 1.071145+0 2.722701+0 1.052199+0 2.754229+0 1.033589+0 2.786121+0 1.015308+0 2.818383+0 9.973679-1 2.851018+0 9.797486-1 2.884032+0 9.624400-1 2.917427+0 9.454399-1 3.000000+0 9.055118-1 3.019952+0 8.965399-1 3.054921+0 8.811686-1 3.090295+0 8.660609-1 3.126079+0 8.512621-1 3.162278+0 8.367159-1 3.198895+0 8.224187-1 3.235937+0 8.083799-1 3.311311+0 7.810228-1 3.388442+0 7.545942-1 3.467369+0 7.290918-1 3.507519+0 7.170010-1 3.548134+0 7.051113-1 3.589219+0 6.934188-1 3.630781+0 6.819579-1 3.672823+0 6.706868-1 3.715352+0 6.596019-1 3.758374+0 6.487111-1 3.845918+0 6.274699-1 3.935501+0 6.069269-1 4.027170+0 5.870809-1 4.073803+0 5.776659-1 4.120975+0 5.684024-1 4.168694+0 5.592874-1 4.216965+0 5.503479-1 4.265795+0 5.415513-1 4.315191+0 5.328951-1 4.365158+0 5.243860-1 4.518559+0 4.996693-1 4.623810+0 4.838441-1 4.731513+0 4.685389-1 4.786301+0 4.612707-1 4.841724+0 4.541154-1 4.897788+0 4.470713-1 4.954502+0 4.401588-1 5.011872+0 4.333534-1 5.069907+0 4.266531-1 5.128614+0 4.200629-1 5.370318+0 3.947093-1 5.495409+0 3.826136-1 5.623413+0 3.709030-1 5.688529+0 3.653368-1 5.754399+0 3.598544-1 5.821032+0 3.544543-1 5.888437+0 3.491524-1 5.956621+0 3.439301-1 6.025596+0 3.387857-1 6.095369+0 3.337235-1 6.382635+0 3.142235-1 6.531306+0 3.049061-1 6.683439+0 2.958757-1 6.760830+0 2.915764-1 6.839116+0 2.873398-1 6.918310+0 2.831647-1 7.079458+0 2.750203-1 7.161434+0 2.710364-1 7.244360+0 2.671102-1 7.328245+0 2.632445-1 7.673615+0 2.483356-1 7.943282+0 2.377119-1 8.128305+0 2.308907-1 8.222427+0 2.276359-1 8.317638+0 2.244272-1 8.413951+0 2.212637-1 8.609938+0 2.150887-1 8.709636+0 2.120662-1 8.810489+0 2.090861-1 8.912509+0 2.061506-1 9.332543+0 1.948172-1 9.660509+0 1.867289-1 9.885531+0 1.815304-1 1.000000+1 1.790508-1 1.011579+1 1.766053-1 1.023293+1 1.741931-1 1.035142+1 1.718208-1 1.047129+1 1.694806-1 1.059254+1 1.671725-1 1.071519+1 1.648975-1 1.083927+1 1.626534-1 1.174898+1 1.477793-1 1.244515+1 1.379963-1 1.258925+1 1.361211-1 1.273503+1 1.343173-1 1.288250+1 1.325374-1 1.303167+1 1.307863-1 1.318257+1 1.290597-1 1.462177+1 1.145142-1 1.479108+1 1.130029-1 1.584893+1 1.043451-1 1.603245+1 1.029686-1 1.621810+1 1.016421-1 1.640590+1 1.003327-1 1.659587+1 9.904368-2 1.678804+1 9.777230-2 1.862087+1 8.704161-2 1.883649+1 8.592450-2 1.905461+1 8.482181-2 2.065380+1 7.748934-2 2.089296+1 7.649526-2 2.113489+1 7.551448-2 2.137962+1 7.456594-2 2.162719+1 7.362932-2 2.200000+1 7.226390-2 2.213095+1 7.179580-2 2.238721+1 7.089690-2 2.454709+1 6.410004-2 2.483133+1 6.329759-2 2.511886+1 6.250526-2 2.786121+1 5.580598-2 2.818383+1 5.510763-2 2.851018+1 5.441839-2 2.884032+1 5.374997-2 2.917427+1 5.308981-2 3.000000+1 5.152620-2 3.019952+1 5.116189-2 3.054921+1 5.053529-2 3.388442+1 4.523077-2 3.427678+1 4.467688-2 3.467369+1 4.412980-2 3.890451+1 3.901435-2 3.935501+1 3.853674-2 3.981072+1 3.806519-2 4.000000+1 3.787260-2 4.027170+1 3.760366-2 4.073803+1 3.715065-2 4.120975+1 3.670312-2 4.265795+1 3.539501-2 4.315191+1 3.496964-2 4.365158+1 3.454941-2 5.000000+1 2.995861-2 5.069907+1 2.952502-2 5.128614+1 2.917027-2 5.754399+1 2.584900-2 5.821032+1 2.553850-2 5.888437+1 2.523172-2 5.956621+1 2.492877-2 6.025596+1 2.463378-2 6.095369+1 2.434229-2 6.165950+1 2.405425-2 6.382635+1 2.321182-2 6.456542+1 2.293775-2 6.606934+1 2.239929-2 7.673615+1 1.919477-2 7.852356+1 1.874422-2 8.128305+1 1.808817-2 1.000000+2 1.460692-2 1.023293+2 1.426414-2 1.035142+2 1.409579-2 1.047129+2 1.392940-2 1.059254+2 1.376506-2 1.071519+2 1.360460-2 1.083927+2 1.344601-2 1.096478+2 1.328949-2 1.122018+2 1.298189-2 1.135011+2 1.283083-2 1.148154+2 1.268153-2 1.273503+2 1.141375-2 1.348963+2 1.076506-2 1.949845+2 7.402529-3 2.041738+2 7.064037-3 2.065380+2 6.981861-3 2.089296+2 6.900640-3 2.113489+2 6.820378-3 2.137962+2 6.741548-3 2.162719+2 6.663627-3 2.187762+2 6.586665-3 2.238721+2 6.435400-3 2.264644+2 6.361091-3 2.290868+2 6.287638-3 2.540973+2 5.663615-3 2.691535+2 5.344113-3 3.890451+2 3.685356-3 4.073803+2 3.518087-3 4.120975+2 3.477470-3 4.168694+2 3.437322-3 4.216965+2 3.397642-3 4.265795+2 3.358600-3 4.315191+2 3.320006-3 4.365158+2 3.281876-3 4.466836+2 3.206925-3 4.518559+2 3.170100-3 4.570882+2 3.133697-3 5.069907+2 2.824329-3 5.370318+2 2.665859-3 1.548817+3 9.212928-4 1.621810+3 8.797030-4 1.640590+3 8.696020-4 1.659587+3 8.596173-4 1.678804+3 8.497478-4 1.698244+3 8.400129-4 1.717908+3 8.303901-4 1.737801+3 8.208794-4 1.778279+3 8.021842-4 1.798871+3 7.929973-4 1.819701+3 7.839157-4 4.027170+3 3.540916-4 4.265795+3 3.342755-4 1.000000+5 1.423976-5 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.290000-6 5.290000-6 7.000000-6 5.290000-6 7.000000-6 6.032642-6 8.709636-6 6.103407-6 1.122018-5 6.159488-6 1.505000-5 6.200737-6 1.505000-5 9.285013-6 1.678804-5 8.909832-6 1.905461-5 8.515828-6 2.113489-5 8.232648-6 2.264644-5 8.063003-6 2.500000-5 7.852455-6 2.603000-5 7.777801-6 2.603000-5 2.099277-5 2.700000-5 2.154468-5 2.881000-5 2.280672-5 2.881000-5 2.427316-5 3.080000-5 2.514213-5 3.210000-5 2.559219-5 3.388442-5 2.603452-5 3.630781-5 2.640735-5 4.050000-5 2.678177-5 4.540000-5 2.702601-5 5.350000-5 2.713449-5 8.413951-5 2.710844-5 8.764000-5 2.709319-5 8.764000-5 3.098694-5 8.940000-5 3.148148-5 9.150000-5 3.191222-5 9.450000-5 3.231696-5 1.000000-4 3.274482-5 1.109100-4 3.332344-5 1.109100-4 3.649774-5 1.130000-4 3.732790-5 1.154000-4 3.797816-5 1.177000-4 3.839193-5 1.216186-4 3.884751-5 1.478100-4 4.077155-5 1.478100-4 4.278712-5 1.499200-4 4.380889-5 1.525000-4 4.469086-5 1.528300-4 4.477820-5 1.528300-4 4.624937-5 1.530400-4 4.630544-5 1.530400-4 4.751333-5 1.552000-4 4.849986-5 1.578000-4 4.930744-5 1.610000-4 4.997366-5 1.780000-4 5.232990-5 1.890000-4 5.430459-5 2.041738-4 5.720383-5 2.150000-4 5.890560-5 2.240000-4 5.998397-5 2.365000-4 6.101685-5 2.520000-4 6.178051-5 2.770000-4 6.240805-5 3.150000-4 6.277645-5 4.050000-4 6.289268-5 4.124900-4 6.288631-5 4.124900-4 6.399103-5 4.352300-4 6.500270-5 4.352300-4 6.601928-5 4.478000-4 6.649427-5 4.630000-4 6.718596-5 6.343000-4 7.171616-5 6.343000-4 7.638626-5 7.328245-4 7.917128-5 7.560200-4 7.977294-5 7.560200-4 8.099609-5 8.767200-4 8.411339-5 8.767200-4 8.628503-5 1.047129-3 9.046586-5 1.244515-3 9.451633-5 1.462177-3 9.823719-5 1.698244-3 1.016256-4 2.018366-3 1.053855-4 2.400000-3 1.090091-4 2.489000-3 1.097416-4 2.489000-3 1.580529-4 2.594700-3 1.589101-4 2.594700-3 1.677399-4 2.810000-3 1.696713-4 3.051000-3 1.700746-4 3.054600-3 1.700740-4 3.054600-3 1.821319-4 3.549300-3 1.839025-4 3.549300-3 1.901082-4 3.824300-3 1.916212-4 3.824300-3 1.975392-4 5.069907-3 2.047182-4 6.531306-3 2.113944-4 8.413951-3 2.181380-4 1.083927-2 2.247773-4 1.304000-2 2.295069-4 1.304000-2 2.890658-4 1.525100-2 2.901121-4 1.525100-2 3.025297-4 1.584700-2 3.028092-4 1.584700-2 3.250431-4 2.268170-2 3.338905-4 3.235937-2 3.426930-4 4.500000-2 3.508009-4 6.165950-2 3.583848-4 8.413951-2 3.653823-4 8.829000-2 3.664302-4 8.829000-2 3.339448-4 2.264644-1 3.361412-4 6.382635-1 3.374141-4 1.000000+5 3.375694-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.290000-6 0.0 8.764000-5 0.0 8.764000-5 9.24396-11 8.820000-5 9.65647-11 8.880000-5 1.00638-10 8.940000-5 1.04329-10 9.015711-5 1.08512-10 9.076600-5 1.11522-10 9.150000-5 1.14768-10 9.230000-5 1.17869-10 9.350000-5 1.21840-10 9.450000-5 1.24676-10 9.580000-5 1.27812-10 9.800000-5 1.32124-10 1.000000-4 1.35442-10 1.047129-4 1.42101-10 1.109100-4 1.50630-10 1.109100-4 4.79550-10 1.113500-4 4.98533-10 1.121000-4 5.28017-10 1.126500-4 5.47343-10 1.135011-4 5.73425-10 1.142000-4 5.91920-10 1.148154-4 6.06076-10 1.154000-4 6.17879-10 1.161449-4 6.30985-10 1.169000-4 6.42489-10 1.177000-4 6.52878-10 1.190000-4 6.66341-10 1.202264-4 6.76634-10 1.216186-4 6.85675-10 1.235000-4 6.95013-10 1.260000-4 7.04532-10 1.303167-4 7.17662-10 1.412538-4 7.44931-10 1.478100-4 7.59943-10 1.478100-4 1.717120-9 1.479108-4 1.743426-9 1.484500-4 1.863202-9 1.490500-4 1.985504-9 1.495000-4 2.069841-9 1.502000-4 2.189644-9 1.507700-4 2.276529-9 1.513561-4 2.357556-9 1.520000-4 2.438331-9 1.528300-4 2.527289-9 1.528300-4 2.479282-9 1.530400-4 2.499431-9 1.530400-4 2.387343-9 1.541000-4 2.442730-9 1.555000-4 2.498674-9 1.572000-4 2.546665-9 1.593000-4 2.591382-9 1.672800-4 2.731148-9 1.698244-4 2.787020-9 1.720000-4 2.846182-9 1.740000-4 2.909589-9 1.760000-4 2.983211-9 1.780000-4 3.068074-9 1.800000-4 3.161681-9 1.828000-4 3.310834-9 1.850000-4 3.437277-9 1.883649-4 3.645233-9 1.950000-4 4.083902-9 2.020000-4 4.554040-9 2.065380-4 4.837840-9 2.113489-4 5.114091-9 2.162719-4 5.363968-9 2.213095-4 5.577904-9 2.240000-4 5.677694-9 2.290868-4 5.832165-9 2.317395-4 5.902436-9 2.371374-4 6.017443-9 2.454709-4 6.147394-9 2.560000-4 6.256545-9 2.691535-4 6.338476-9 2.851018-4 6.389910-9 3.130000-4 6.414145-9 3.650000-4 6.401907-9 4.124900-4 6.372522-9 4.124900-4 6.495947-9 4.352300-4 6.595198-9 4.352300-4 7.887197-9 4.390000-4 7.869369-9 4.430000-4 7.902795-9 4.450000-4 7.949343-9 4.478000-4 8.052198-9 4.540000-4 8.321527-9 4.600000-4 8.506189-9 4.700000-4 8.729487-9 4.850000-4 8.977319-9 5.080000-4 9.309029-9 6.165950-4 1.099803-8 6.343000-4 1.126671-8 6.343000-4 1.591659-8 7.000000-4 1.727866-8 7.560200-4 1.831231-8 7.560200-4 1.997008-8 8.511380-4 2.193316-8 8.767200-4 2.243411-8 8.767200-4 2.498343-8 1.000000-3 2.763846-8 1.135011-3 3.025115-8 1.244515-3 3.219376-8 1.380384-3 3.441338-8 1.513561-3 3.640505-8 1.698244-3 3.890270-8 1.905461-3 4.141307-8 2.089296-3 4.342930-8 2.371374-3 4.620075-8 2.489000-3 4.724736-8 2.489000-3 5.139958-8 2.594700-3 5.180162-8 2.594700-3 2.072396-5 2.740000-3 2.209977-5 2.810000-3 2.258324-5 2.851018-3 2.293184-5 2.917427-3 2.331326-5 2.951209-3 2.348116-5 3.054600-3 2.342936-5 3.054600-3 2.287514-5 3.549300-3 2.261881-5 3.549300-3 2.504887-5 3.824300-3 2.520041-5 3.824300-3 2.550723-5 4.570882-3 2.581014-5 6.025596-3 2.625275-5 8.413951-3 2.675914-5 1.148154-2 2.721000-5 1.304000-2 2.739043-5 1.304000-2 2.335035-3 1.350000-2 2.329071-3 1.525100-2 2.315653-3 1.525100-2 3.314775-3 1.584700-2 3.319891-3 1.584700-2 3.456326-3 2.089296-2 3.494853-3 3.150000-2 3.522546-3 5.188000-2 3.531214-3 8.829000-2 3.525822-3 8.829000-2 6.233819-2 1.047129-1 6.285608-2 1.412538-1 6.346562-2 2.089296-1 6.394227-2 4.073803-1 6.442282-2 9.549926-1 6.497169-2 1.000000+5 6.498962-2 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.290000-6 0.0 7.000000-6 1.710000-6 7.000000-6 9.673578-7 7.673615-6 1.607911-6 8.912509-6 2.803672-6 1.071519-5 4.564933-6 1.505000-5 8.849263-6 1.505000-5 5.764987-6 1.678804-5 7.878208-6 1.905461-5 1.053878-5 2.113489-5 1.290224-5 2.426610-5 1.635510-5 2.603000-5 1.825220-5 2.603000-5 5.037228-6 2.640000-5 5.213800-6 2.670000-5 5.340656-6 2.700000-5 5.455323-6 2.765000-5 5.668929-6 2.881000-5 6.003283-6 2.881000-5 4.536843-6 2.970000-5 5.020590-6 3.054921-5 5.505481-6 3.120000-5 5.906941-6 3.162278-5 6.182538-6 3.210000-5 6.507806-6 3.273407-5 6.962923-6 3.370000-5 7.702661-6 3.450000-5 8.350698-6 3.590000-5 9.543489-6 3.770000-5 1.114504-5 4.050000-5 1.371823-5 4.420000-5 1.721683-5 4.954502-5 2.243700-5 7.500000-5 4.786288-5 8.764000-5 6.054681-5 8.764000-5 5.665297-5 9.076600-5 5.898725-5 9.549926-5 6.308472-5 1.109100-4 7.758640-5 1.109100-4 7.441178-5 1.135011-4 7.601407-5 1.174898-4 7.913054-5 1.260000-4 8.680334-5 1.478100-4 1.070377-4 1.478100-4 1.050212-4 1.513561-4 1.070142-4 1.528300-4 1.080493-4 1.528300-4 1.065781-4 1.530400-4 1.067321-4 1.530400-4 1.055243-4 1.565000-4 1.075544-4 1.621810-4 1.120165-4 1.810000-4 1.281721-4 2.100000-4 1.518240-4 2.280000-4 1.676270-4 2.540973-4 1.922369-4 3.150000-4 2.522171-4 4.124900-4 3.495973-4 4.124900-4 3.484925-4 4.352300-4 3.702207-4 4.352300-4 3.692028-4 6.343000-4 5.625726-4 6.343000-4 5.578978-4 7.560200-4 6.762288-4 7.560200-4 6.750039-4 8.767200-4 7.925842-4 8.767200-4 7.904100-4 1.584893-3 1.484778-3 2.489000-3 2.379211-3 2.489000-3 2.330896-3 2.594700-3 2.435738-3 2.594700-3 2.406236-3 3.054600-3 2.861097-3 3.054600-3 2.849593-3 3.549300-3 3.342779-3 3.549300-3 3.334143-3 3.824300-3 3.607478-3 3.824300-3 3.601254-3 1.304000-2 1.278310-2 1.304000-2 1.041590-2 1.525100-2 1.264524-2 1.525100-2 1.163370-2 1.584700-2 1.222430-2 1.584700-2 1.206563-2 2.917427-2 2.531492-2 8.829000-2 8.439775-2 8.829000-2 2.561786-2 9.440609-2 3.151648-2 1.023293-1 3.918996-2 1.364583-1 7.271435-2 2.400000-1 1.756172-1 3.388442+0 3.323117+0 1.000000+5 9.999993+4 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 8.829000-2 1.955822+3 9.225714-2 1.756450+3 9.500000-2 1.628090+3 9.900000-2 1.472076+3 1.273503-1 7.703575+2 1.462177-1 5.366294+2 2.400000-1 1.459910+2 2.917427-1 8.802067+1 3.388442-1 6.011739+1 3.890451-1 4.258787+1 4.466836-1 3.039548+1 5.069907-1 2.247690+1 5.754399-1 1.675896+1 6.456542-1 1.292222+1 7.328245-1 9.783221+0 8.222427-1 7.649348+0 9.225714-1 6.026827+0 1.023293+0 4.897249+0 1.216186+0 3.490992+0 1.364583+0 2.806104+0 1.531087+0 2.270998+0 1.737801+0 1.813615+0 1.972423+0 1.459614+0 2.264644+0 1.161091+0 2.600160+0 9.304754-1 3.000000+0 7.454500-1 3.467369+0 6.002117-1 4.027170+0 4.833069-1 4.731513+0 3.857197-1 5.623413+0 3.053414-1 6.683439+0 2.435770-1 8.128305+0 1.900818-1 9.885531+0 1.494438-1 1.258925+1 1.120650-1 1.603245+1 8.477226-2 2.113489+1 6.216985-2 2.851018+1 4.480216-2 4.000000+1 3.118000-2 5.956621+1 2.052338-2 1.059254+2 1.133272-2 2.113489+2 5.615296-3 4.216965+2 2.797342-3 1.678804+3 6.996159-4 1.000000+5 1.172400-5 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 8.829000-2 3.251900-4 1.000000+5 3.251900-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.829000-2 7.818800-2 1.000000+5 7.818800-2 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 8.829000-2 9.776810-3 1.000000+5 9.999992+4 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.584700-2 7.056375+3 1.621810-2 6.766959+3 1.660000-2 6.512140+3 1.710000-2 6.171680+3 1.785000-2 5.753660+3 1.927525-2 5.002913+3 2.113489-2 4.254074+3 2.264644-2 3.741528+3 2.540973-2 3.004366+3 3.198895-2 1.899822+3 3.672823-2 1.425366+3 4.120975-2 1.117669+3 4.954502-2 7.477174+2 5.800000-2 5.248400+2 6.531306-2 3.998018+2 7.585776-2 2.819417+2 9.015711-2 1.868559+2 1.071519-1 1.228885+2 1.303167-1 7.585564+1 1.678804-1 4.027994+1 2.660725-1 1.267086+1 3.273407-1 7.580878+0 3.845918-1 5.119236+0 4.466836-1 3.579810+0 5.128614-1 2.591197+0 5.888437-1 1.890713+0 6.683439-1 1.426399+0 7.585776-1 1.083883+0 8.511380-1 8.493774-1 9.440609-1 6.864485-1 1.083927+0 5.216306-1 1.250000+0 3.951268-1 1.412538+0 3.140391-1 1.584893+0 2.546877-1 1.798871+0 2.038366-1 2.044000+0 1.640693-1 2.344229+0 1.309887-1 2.691535+0 1.051627-1 3.090295+0 8.503658-2 3.589219+0 6.808314-2 4.168694+0 5.491346-2 4.897788+0 4.389617-2 5.821032+0 3.480352-2 6.918310+0 2.780430-2 8.413951+0 2.172561-2 1.023293+1 1.710555-2 1.288250+1 1.301710-2 1.640590+1 9.854308-3 2.162719+1 7.231496-3 2.917427+1 5.214377-3 4.120975+1 3.604875-3 6.165950+1 2.362540-3 1.083927+2 1.320796-3 2.162719+2 6.546106-4 4.315191+2 3.261457-4 1.717908+3 8.157788-5 1.000000+5 1.399000-6 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.584700-2 4.672400-4 1.000000+5 4.672400-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.584700-2 4.328900-3 1.000000+5 4.328900-3 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.584700-2 1.105086-2 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.525100-2 1.417799+4 1.543000-2 1.382925+4 1.737801-2 1.025000+4 2.041738-2 6.765900+3 2.264644-2 5.135600+3 2.917427-2 2.581800+3 3.715352-2 1.311800+3 4.623810-2 7.016300+2 5.821032-2 3.592300+2 7.413102-2 1.762900+2 1.531088-1 2.042855+1 1.905461-1 1.073526+1 2.300000-1 6.214321+0 2.691535-1 3.963130+0 3.126079-1 2.601348+0 3.589219-1 1.776722+0 4.073803-1 1.261575+0 4.623810-1 9.025804-1 5.188000-1 6.705048-1 5.821032-1 5.018131-1 6.456542-1 3.892558-1 7.161434-1 3.043945-1 8.035261-1 2.333692-1 9.332543-1 1.668208-1 1.000000+0 1.437391-1 1.096478+0 1.190980-1 1.202264+0 9.941543-2 1.318257+0 8.356493-2 1.479108+0 6.778857-2 1.717908+0 5.194093-2 1.949845+0 4.175491-2 2.213095+0 3.381972-2 2.540973+0 2.707248-2 2.917427+0 2.183077-2 3.388442+0 1.742653-2 3.935501+0 1.401669-2 4.623810+0 1.117385-2 5.495409+0 8.836067-3 6.531306+0 7.041893-3 7.943282+0 5.489965-3 9.660509+0 4.312464-3 1.244515+1 3.187611-3 1.603245+1 2.379007-3 2.089296+1 1.767122-3 2.818383+1 1.273039-3 3.935501+1 8.902084-4 5.888437+1 5.829075-4 1.047129+2 3.217958-4 2.089296+2 1.594330-4 4.168694+2 7.941710-5 1.659587+3 1.986154-5 1.000000+5 3.290200-7 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.525100-2 3.338400-4 1.000000+5 3.338400-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.525100-2 5.834000-3 1.000000+5 5.834000-3 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.525100-2 9.083160-3 1.000000+5 9.999999+4 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.304000-2 3.292329+4 1.327000-2 3.126531+4 1.365000-2 2.900084+4 1.462177-2 2.403895+4 1.798871-2 1.348162+4 1.995262-2 1.001222+4 2.483133-2 5.293441+3 3.126079-2 2.658328+3 3.890451-2 1.362643+3 4.786301-2 7.157426+2 5.821032-2 3.863637+2 7.244360-2 1.924863+2 9.660509-2 7.629712+1 1.500000-1 1.846096+1 1.840772-1 9.594813+0 2.213095-1 5.366346+0 2.570396-1 3.371116+0 2.951209-1 2.211361+0 3.349654-1 1.513750+0 3.758374-1 1.080092+0 4.168694-1 8.022359-1 4.623810-1 5.997992-1 5.128614-1 4.515516-1 5.623413-1 3.530379-1 6.237348-1 2.696655-1 6.918310-1 2.075594-1 8.035261-1 1.435246-1 8.709636-1 1.184875-1 9.332543-1 1.012226-1 9.885531-1 8.928586-2 1.071519+0 7.555432-2 1.174898+0 6.292179-2 1.288250+0 5.280478-2 1.428894+0 4.369801-2 1.717908+0 3.148120-2 1.949845+0 2.530278-2 2.213095+0 2.049204-2 2.540973+0 1.640172-2 2.917427+0 1.322412-2 3.388442+0 1.055569-2 3.935501+0 8.490158-3 4.623810+0 6.768351-3 5.495409+0 5.352365-3 6.531306+0 4.265515-3 7.943282+0 3.325478-3 9.660509+0 2.612228-3 1.244515+1 1.930888-3 1.584893+1 1.460081-3 2.065380+1 1.084180-3 2.786121+1 7.808223-4 3.890451+1 5.458594-4 5.754399+1 3.616616-4 1.000000+2 2.043400-4 1.949845+2 1.035694-4 3.890451+2 5.156849-5 1.548817+3 1.289269-5 1.000000+5 1.993000-7 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.304000-2 3.282900-4 1.000000+5 3.282900-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.304000-2 3.854800-3 1.000000+5 3.854800-3 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.304000-2 8.856910-3 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 3.824300-3 1.949790+4 4.150000-3 1.765130+4 4.415704-3 1.619906+4 4.731513-3 1.478830+4 5.011872-3 1.361224+4 6.400000-3 9.411700+3 6.918310-3 8.297267+3 8.413951-3 5.993694+3 9.500000-3 4.848000+3 1.083927-2 3.834565+3 1.288250-2 2.788105+3 1.450000-2 2.228460+3 1.698244-2 1.640729+3 2.018366-2 1.163444+3 2.400000-2 8.168000+2 2.851018-2 5.696086+2 3.388442-2 3.934738+2 3.981072-2 2.764924+2 4.677351-2 1.929293+2 5.432503-2 1.372312+2 6.500000-2 9.050931+1 7.762471-2 5.951202+1 9.225714-2 3.930376+1 1.135011-1 2.366561+1 1.479108-1 1.226811+1 2.722701-1 2.664762+0 3.311311-1 1.643615+0 3.935501-1 1.080849+0 4.570882-1 7.570140-1 5.248075-1 5.488681-1 6.025596-1 4.010544-1 6.839117-1 3.030493-1 7.762471-1 2.306392-1 8.810489-1 1.767076-1 9.772372-1 1.430132-1 1.135011+0 1.063767-1 1.288250+0 8.334356-2 1.462177+0 6.580570-2 1.640590+0 5.347325-2 1.862087+0 4.288710-2 2.113489+0 3.465087-2 2.426610+0 2.766522-2 2.786121+0 2.225154-2 3.198895+0 1.802551-2 3.715352+0 1.445737-2 4.315191+0 1.167965-2 5.069907+0 9.350897-3 6.025596+0 7.425485-3 7.244360+0 5.854193-3 8.810489+0 4.582440-3 1.059254+1 3.664583-3 1.303167+1 2.867660-3 1.659587+1 2.171697-3 2.213095+1 1.574156-3 3.000000+1 1.129700-3 4.265795+1 7.760287-4 6.382635+1 5.089470-4 1.122018+2 2.846777-4 2.238721+2 1.411436-4 4.466836+2 7.033819-5 1.778279+3 1.759616-5 1.000000+5 3.123700-7 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 3.824300-3 3.359100-4 1.000000+5 3.359100-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.824300-3 3.268100-5 1.000000+5 3.268100-5 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.824300-3 3.455709-3 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 3.549300-3 3.107474+4 3.549900-3 3.107035+4 3.550000-3 3.130843+4 3.685000-3 3.045087+4 4.000000-3 2.763360+4 4.265795-3 2.551624+4 4.518559-3 2.358452+4 5.150000-3 1.945914+4 5.559043-3 1.730835+4 6.025596-3 1.519754+4 6.456542-3 1.348261+4 7.413102-3 1.054568+4 8.000000-3 9.145940+3 9.332543-3 6.768239+3 1.011579-2 5.747852+3 1.174898-2 4.196601+3 1.288250-2 3.435436+3 1.479108-2 2.523551+3 1.659587-2 1.935321+3 1.862087-2 1.475753+3 2.162719-2 1.027382+3 2.511886-2 7.081625+2 2.917427-2 4.837031+2 3.388442-2 3.275981+2 3.935501-2 2.201486+2 4.623810-2 1.423321+2 5.432503-2 9.133488+1 6.531306-2 5.457804+1 8.035261-2 3.032603+1 1.047129-1 1.418205+1 1.840772-1 2.782009+0 2.041738-1 2.069006+0 2.951209-1 7.347715-1 3.427678-1 4.873639-1 3.935501-1 3.360943-1 4.466836-1 2.407855-1 5.069907-1 1.738198-1 5.688529-1 1.301871-1 6.309573-1 1.010147-1 6.998420-1 7.888975-2 7.762471-1 6.202317-2 8.709636-1 4.778308-2 9.440609-1 4.006638-2 1.023293+0 3.384040-2 1.122018+0 2.812070-2 1.244515+0 2.301501-2 1.396368+0 1.857550-2 1.640590+0 1.389923-2 1.862087+0 1.114452-2 2.113489+0 9.002863-3 2.426610+0 7.187793-3 2.786121+0 5.781081-3 3.198895+0 4.682980-3 3.715352+0 3.755902-3 4.315191+0 3.034327-3 5.069907+0 2.429394-3 6.025596+0 1.929090-3 7.244360+0 1.520926-3 8.810489+0 1.190472-3 1.059254+1 9.520470-4 1.303167+1 7.450252-4 1.659587+1 5.642104-4 2.200000+1 4.116400-4 3.000000+1 2.935000-4 4.265795+1 2.016110-4 6.382635+1 1.322211-4 1.122018+2 7.395891-5 2.238721+2 3.666968-5 4.466836+2 1.827400-5 1.778279+3 4.571412-6 1.000000+5 8.115400-8 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 3.549300-3 2.927400-4 1.000000+5 2.927400-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.549300-3 6.523800-5 1.000000+5 6.523800-5 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.549300-3 3.191322-3 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 3.054600-3 1.013401+5 3.124000-3 9.940455+4 3.650000-3 7.749520+4 3.900000-3 6.923240+4 4.677351-3 5.000133+4 5.128614-3 4.211561+4 5.500000-3 3.669864+4 6.456542-3 2.660442+4 7.000000-3 2.245380+4 8.222426-3 1.585759+4 9.015711-3 1.290013+4 1.035142-2 9.394257+3 1.161449-2 7.151518+3 1.303167-2 5.412143+3 1.500000-2 3.814240+3 1.698244-2 2.778960+3 1.905461-2 2.058988+3 2.187762-2 1.425517+3 2.511886-2 9.789526+2 2.900000-2 6.568560+2 3.349654-2 4.366551+2 3.890451-2 2.834975+2 4.518559-2 1.826668+2 5.308844-2 1.129225+2 6.309573-2 6.689890+1 7.585776-2 3.797613+1 9.440609-2 1.923126+1 1.819701-1 2.450422+0 2.238721-1 1.288484+0 2.630268-1 7.873200-1 3.019952-1 5.198454-1 3.427678-1 3.578171-1 3.845918-1 2.565040-1 4.315191-1 1.852092-1 4.786301-1 1.390827-1 5.308844-1 1.051544-1 5.888437-1 8.007250-2 6.531306-1 6.145489-2 7.244360-1 4.752522-2 8.609938-1 3.133619-2 9.225714-1 2.668650-2 9.772372-1 2.347924-2 1.047129+0 2.029739-2 1.135011+0 1.724868-2 1.244515+0 1.443355-2 1.380384+0 1.192149-2 1.698244+0 8.238777-3 1.927525+0 6.616986-3 2.187762+0 5.355713-3 2.511886+0 4.283998-3 2.884032+0 3.451811-3 3.311311+0 2.801096-3 3.845918+0 2.250482-3 4.518559+0 1.792074-3 5.370318+0 1.415633-3 6.382635+0 1.127048-3 7.673615+0 8.906279-4 9.332543+0 6.986704-4 1.174898+1 5.299540-4 1.479108+1 4.052514-4 1.883649+1 3.081192-4 2.483133+1 2.269755-4 3.427678+1 1.602050-4 5.069907+1 1.058772-4 7.852356+1 6.721351-5 1.273503+2 4.093500-5 2.540973+2 2.032060-5 5.069907+2 1.013367-5 4.027170+3 1.270261-6 1.000000+5 5.111100-8 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 3.054600-3 2.581100-4 1.000000+5 2.581100-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.054600-3 1.938300-5 1.000000+5 1.938300-5 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.054600-3 2.777107-3 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.594700-3 2.346071+5 2.740000-3 2.320488+5 2.806600-3 2.286554+5 2.851018-3 2.251551+5 2.900000-3 2.198002+5 2.951209-3 2.137362+5 3.235937-3 1.681507+5 3.589219-3 1.274277+5 3.935501-3 9.899564+4 4.365158-3 7.401377+4 4.841724-3 5.490297+4 5.432503-3 3.913759+4 6.531306-3 2.237543+4 7.161434-3 1.680897+4 8.317638-3 1.047504+4 9.225714-3 7.497640+3 1.047129-2 4.955152+3 1.216186-2 3.006835+3 1.364583-2 2.034459+3 1.566751-2 1.264319+3 1.819701-2 7.487975+2 2.113489-2 4.399154+2 2.454709-2 2.565237+2 2.884032-2 1.424067+2 3.388442-2 7.849395+1 4.027170-2 4.116721+1 4.954502-2 1.882926+1 6.531306-2 6.573139+0 1.083927-1 9.486840-1 1.348963-1 4.140739-1 1.640590-1 1.986714-1 1.905461-1 1.140740-1 2.162719-1 7.183309-2 2.454709-1 4.556232-2 2.818383-1 2.795191-2 3.198895-1 1.800010-2 3.589219-1 1.215449-2 4.000000-1 8.460654-3 4.415705-1 6.120532-3 4.897788-1 4.391244-3 5.432503-1 3.174663-3 5.956621-1 2.396943-3 6.456542-1 1.888805-3 7.079458-1 1.449310-3 8.035261-1 1.017898-3 8.609938-1 8.377704-4 9.120108-1 7.167578-4 9.549926-1 6.362146-4 1.000000+0 5.681928-4 1.047129+0 5.110596-4 1.096478+0 4.628373-4 1.161449+0 4.122308-4 1.230269+0 3.697863-4 1.333521+0 3.197886-4 1.479108+0 2.675620-4 1.678804+0 2.140445-4 1.927525+0 1.682829-4 2.187762+0 1.361736-4 2.511886+0 1.089237-4 2.884032+0 8.776802-5 3.311311+0 7.122272-5 3.845918+0 5.722165-5 4.518559+0 4.556604-5 5.370318+0 3.599459-5 6.382635+0 2.865658-5 7.673615+0 2.264607-5 9.332543+0 1.776484-5 1.174898+1 1.347517-5 1.479108+1 1.030383-5 1.905461+1 7.734320-6 2.511886+1 5.699071-6 3.467369+1 4.023648-6 5.128614+1 2.659752-6 8.128305+1 1.649203-6 1.348963+2 9.816297-7 2.691535+2 4.875197-7 5.370318+2 2.431936-7 4.265795+3 3.048933-8 1.000000+5 1.299600-9 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.594700-3 1.915400-4 1.000000+5 1.915400-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.594700-3 7.644400-5 1.000000+5 7.644400-5 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.594700-3 2.326716-3 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.489000-3 4.122826+5 2.810000-3 3.403452+5 3.019952-3 2.817427+5 3.349654-3 2.130865+5 3.672823-3 1.651924+5 4.073803-3 1.232204+5 4.518559-3 9.121628+4 5.188000-3 6.050756+4 5.688529-3 4.563889+4 6.531306-3 2.974814+4 7.244360-3 2.139752+4 8.222426-3 1.422915+4 9.440609-3 9.027127+3 1.059254-2 6.138038+3 1.202264-2 3.987403+3 1.380384-2 2.470134+3 1.580000-2 1.534494+3 1.800000-2 9.623820+2 2.065380-2 5.841722+2 2.371374-2 3.513139+2 2.722701-2 2.099219+2 3.150000-2 1.211346+2 3.715352-2 6.452472+1 4.500000-2 3.080145+1 5.370318-2 1.546465+1 1.071519-1 1.023279+0 1.303167-1 4.767846-1 1.548817-1 2.447505-1 1.778279-1 1.444652-1 2.018366-1 8.973595-2 2.264644-1 5.865370-2 2.540973-1 3.862920-2 2.818383-1 2.671336-2 3.126079-1 1.860432-2 3.467369-1 1.305581-2 3.801894-1 9.597031-3 4.168694-1 7.105227-3 4.570882-1 5.300122-3 5.011872-1 3.984215-3 5.495409-1 3.019485-3 6.025596-1 2.306623-3 6.531306-1 1.833599-3 7.079458-1 1.466848-3 7.673615-1 1.181316-3 8.511380-1 9.003804-4 9.015711-1 7.786956-4 9.549926-1 6.780508-4 1.000000+0 6.104954-4 1.059254+0 5.393198-4 1.135011+0 4.683511-4 1.216186+0 4.096068-4 1.318257+0 3.528185-4 1.798871+0 2.036408-4 2.018366+0 1.672800-4 2.317395+0 1.332287-4 2.660725+0 1.069023-4 3.054921+0 8.639611-5 3.548134+0 6.913002-5 4.120975+0 5.572704-5 4.841724+0 4.452302-5 5.754399+0 3.528180-5 6.839116+0 2.817315-5 8.317638+0 2.200456-5 1.011579+1 1.731641-5 1.288250+1 1.299595-5 1.640590+1 9.838751-6 2.162719+1 7.220089-6 2.917427+1 5.206194-6 4.120975+1 3.599167-6 6.165950+1 2.358851-6 1.096478+2 1.303244-6 2.187762+2 6.460177-7 4.365158+2 3.218888-7 1.737801+3 8.051593-8 1.000000+5 1.396800-9 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.489000-3 1.897400-4 1.000000+5 1.897400-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.489000-3 5.412300-8 1.000000+5 5.412300-8 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.489000-3 2.299206-3 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 8.767200-4 4.436947+4 9.885531-4 4.082767+4 1.035142-3 3.921042+4 1.216186-3 3.349758+4 1.276100-3 3.189733+4 1.570000-3 2.501520+4 1.698244-3 2.265963+4 2.041738-3 1.771185+4 2.238721-3 1.556534+4 2.660725-3 1.208348+4 3.000000-3 1.005892+4 3.467369-3 8.011307+3 4.073803-3 6.159841+3 4.731513-3 4.790494+3 5.495409-3 3.701004+3 6.456542-3 2.782801+3 7.585776-3 2.077964+3 9.015711-3 1.508237+3 1.071519-2 1.087052+3 1.288250-2 7.607357+2 1.548817-2 5.282325+2 1.840772-2 3.725910+2 2.187762-2 2.609317+2 2.600160-2 1.814297+2 3.090295-2 1.252313+2 3.672823-2 8.580740+1 4.365158-2 5.836755+1 5.188000-2 3.941300+1 6.237348-2 2.570852+1 7.498942-2 1.664374+1 9.015711-2 1.069907+1 1.109175-1 6.442439+0 1.462177-1 3.246567+0 2.238721-1 1.118475+0 2.884032-1 5.947237-1 3.467369-1 3.781757-1 4.073803-1 2.562399-1 4.731513-1 1.798765-1 5.432503-1 1.306681-1 6.165950-1 9.814632-2 6.998420-1 7.425494-2 7.943282-1 5.658042-2 8.912509-1 4.445058-2 9.885531-1 3.599923-2 1.148154+0 2.679199-2 1.303167+0 2.100632-2 1.479108+0 1.659765-2 1.659587+0 1.349703-2 1.883649+0 1.083254-2 2.137962+0 8.757467-3 2.454709+0 6.996250-3 2.818383+0 5.630609-3 3.235937+0 4.563898-3 3.758374+0 3.662555-3 4.365158+0 2.960481-3 5.128614+0 2.371474-3 6.095369+0 1.884128-3 7.328245+0 1.486118-3 8.912509+0 1.163789-3 1.083927+1 9.183864-4 1.318257+1 7.288715-4 1.678804+1 5.521772-4 2.238721+1 4.003710-4 3.054921+1 2.853731-4 4.365158+1 1.951013-4 6.606934+1 1.264911-4 1.148154+2 7.162715-5 2.290868+2 3.552231-5 4.570882+2 1.770438-5 1.819701+3 4.429294-6 1.000000+5 8.046600-8 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 8.767200-4 1.949100-4 1.000000+5 1.949100-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 8.767200-4 1.525000-7 1.000000+5 1.525000-7 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 8.767200-4 6.816575-4 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 7.560200-4 3.825555+4 8.810489-4 3.780982+4 9.930000-4 3.676000+4 1.050000-3 3.600580+4 1.135011-3 3.470961+4 1.216186-3 3.339972+4 1.318257-3 3.171751+4 1.412538-3 3.016158+4 1.513561-3 2.845786+4 1.678804-3 2.583791+4 1.819701-3 2.382342+4 1.972423-3 2.179610+4 2.187762-3 1.928614+4 2.371374-3 1.744006+4 2.613000-3 1.533115+4 2.917427-3 1.314904+4 3.198895-3 1.148353+4 3.589219-3 9.624731+3 4.000000-3 8.087040+3 4.466836-3 6.727564+3 5.011872-3 5.509203+3 5.623413-3 4.479660+3 6.309573-3 3.616978+3 7.079458-3 2.900416+3 8.035261-3 2.257911+3 9.120108-3 1.744267+3 1.040000-2 1.324154+3 1.190000-2 9.899480+2 1.350000-2 7.484180+2 1.531087-2 5.622314+2 1.737801-2 4.187098+2 1.972423-2 3.097648+2 2.268170-2 2.204420+2 2.600160-2 1.568977+2 3.000000-2 1.090562+2 3.467369-2 7.492010+1 4.027170-2 5.045055+1 4.731513-2 3.269966+1 5.623413-2 2.038131+1 6.760830-2 1.221101+1 8.317638-2 6.805647+0 1.083927-1 3.195795+0 1.883649-1 6.537374-1 2.018366-1 5.372854-1 2.454709-1 3.137910-1 2.691535-1 2.420686-1 2.917427-1 1.914516-1 3.388442-1 1.270819-1 3.890451-1 8.766888-2 4.415705-1 6.281646-2 5.011872-1 4.534640-2 5.623413-1 3.396044-2 6.237348-1 2.634734-2 6.998420-1 2.002465-2 7.762471-1 1.574968-2 8.709636-1 1.213052-2 9.440609-1 1.016765-2 1.023293+0 8.584724-3 1.122018+0 7.132452-3 1.244515+0 5.837662-3 1.396368+0 4.712321-3 1.640590+0 3.526398-3 1.862087+0 2.827389-3 2.113489+0 2.284161-3 2.426610+0 1.823688-3 2.786121+0 1.466729-3 3.198895+0 1.188113-3 3.715352+0 9.529246-4 4.315191+0 7.698484-4 5.069907+0 6.163637-4 6.025596+0 4.894470-4 7.244360+0 3.858749-4 8.810489+0 3.020464-4 1.071519+1 2.382485-4 1.318257+1 1.865066-4 1.678804+1 1.412942-4 2.213095+1 1.037582-4 3.019952+1 7.393456-5 4.315191+1 5.053328-5 6.456542+1 3.314880-5 1.122018+2 1.876406-5 2.238721+2 9.303698-6 4.466836+2 4.636358-6 1.778279+3 1.159851-6 1.000000+5 2.059000-8 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 7.560200-4 1.709300-4 1.000000+5 1.709300-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 7.560200-4 1.418600-7 1.000000+5 1.418600-7 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 7.560200-4 5.849481-4 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 6.343000-4 2.039800+5 6.650000-4 1.999604+5 7.000000-4 1.944584+5 7.673615-4 1.810793+5 8.317638-4 1.688671+5 9.120108-4 1.544033+5 1.000000-3 1.403876+5 1.122018-3 1.235834+5 1.216186-3 1.122719+5 1.364583-3 9.689183+4 1.513561-3 8.437100+4 1.659587-3 7.405251+4 1.883649-3 6.142330+4 2.089296-3 5.232933+4 2.371374-3 4.268979+4 2.660725-3 3.519634+4 3.000000-3 2.858716+4 3.427678-3 2.248858+4 3.845918-3 1.814928+4 4.365158-3 1.423287+4 5.011872-3 1.082055+4 5.688529-3 8.348324+3 6.382635-3 6.552052+3 7.161434-3 5.111881+3 8.128305-3 3.863239+3 9.225714-3 2.898455+3 1.047129-2 2.159222+3 1.190000-2 1.592544+3 1.350000-2 1.171224+3 1.531087-2 8.561370+2 1.737801-2 6.203124+2 1.972423-2 4.463859+2 2.264644-2 3.093708+2 2.600160-2 2.127586+2 3.000000-2 1.432632+2 3.467369-2 9.524904+1 4.027170-2 6.197452+1 4.677351-2 4.002267+1 5.495409-2 2.479999+1 6.456542-2 1.525527+1 7.852356-2 8.386918+0 9.772372-2 4.260766+0 1.500000-1 1.115980+0 2.000000-1 4.553600-1 2.264644-1 3.040108-1 2.426610-1 2.442137-1 2.570396-1 2.046695-1 2.722701-1 1.727724-1 2.851018-1 1.518407-1 3.000060-1 1.326536-1 3.427678-1 8.960520-2 3.845918-1 6.427956-2 4.315191-1 4.644065-2 4.786301-1 3.489048-2 5.308844-1 2.639082-2 5.888437-1 2.010380-2 6.531306-1 1.543016-2 7.244360-1 1.193236-2 8.511380-1 8.093650-3 9.120108-1 6.890895-3 9.660509-1 6.059391-3 1.023293+0 5.360626-3 1.109175+0 4.547974-3 1.216186+0 3.798295-3 1.333521+0 3.197090-3 1.548817+0 2.442497-3 1.778279+0 1.913603-3 2.000000+0 1.565188-3 2.290868+0 1.250824-3 2.630268+0 1.003029-3 3.019952+0 8.101108-4 3.507519+0 6.478259-4 4.073803+0 5.219360-4 4.786301+0 4.167746-4 5.688529+0 3.301021-4 6.760830+0 2.634590-4 8.222427+0 2.056852-4 1.000000+1 1.617800-4 1.273503+1 1.213728-4 1.621810+1 9.184885-5 2.137962+1 6.738244-5 2.884032+1 4.857267-5 4.073803+1 3.357107-5 6.025596+1 2.226223-5 1.071519+2 1.229482-5 2.137962+2 6.092879-6 4.265795+2 3.035447-6 1.698244+3 7.592011-7 1.000000+5 1.287000-8 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 6.343000-4 1.557100-4 1.000000+5 1.557100-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 6.343000-4 9.489700-8 1.000000+5 9.489700-8 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 6.343000-4 4.784951-4 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 4.352300-4 9.844600+4 4.370000-4 9.672160+4 4.390000-4 9.555400+4 4.405000-4 9.536080+4 4.420000-4 9.583560+4 4.430000-4 9.662320+4 4.440000-4 9.784200+4 4.450000-4 9.952160+4 4.465000-4 1.028852+5 4.478000-4 1.064992+5 4.507000-4 1.156344+5 4.523000-4 1.204892+5 4.540000-4 1.250892+5 4.558000-4 1.292740+5 4.580000-4 1.336012+5 4.600000-4 1.369820+5 4.630000-4 1.414364+5 4.665000-4 1.459940+5 4.700000-4 1.500288+5 4.746500-4 1.546207+5 4.800000-4 1.588880+5 4.850000-4 1.621384+5 5.308844-4 1.885285+5 5.450000-4 1.955976+5 5.623413-4 2.029857+5 5.888437-4 2.128207+5 6.100000-4 2.194024+5 6.309573-4 2.243686+5 6.606934-4 2.292820+5 6.850000-4 2.317904+5 7.161434-4 2.331404+5 7.500000-4 2.326292+5 7.800000-4 2.309116+5 8.128305-4 2.278534+5 8.511380-4 2.232183+5 8.912509-4 2.171926+5 9.500000-4 2.074412+5 1.000000-3 1.987804+5 1.059254-3 1.881781+5 1.122018-3 1.768315+5 1.202264-3 1.629144+5 1.288250-3 1.490504+5 1.380384-3 1.352813+5 1.479108-3 1.219542+5 1.603245-3 1.073182+5 1.730000-3 9.437040+4 1.900000-3 7.983040+4 2.041738-3 6.978793+4 2.238721-3 5.826346+4 2.426610-3 4.944908+4 2.660725-3 4.066431+4 2.917427-3 3.320597+4 3.198895-3 2.690596+4 3.507519-3 2.165741+4 3.900000-3 1.672416+4 4.300000-3 1.308304+4 4.731513-3 1.021999+4 5.308844-3 7.525134+3 5.888437-3 5.668945+3 6.531306-3 4.241058+3 7.244360-3 3.151581+3 8.035261-3 2.326729+3 9.015711-3 1.648339+3 1.011579-2 1.158910+3 1.122018-2 8.387644+2 1.244515-2 6.036019+2 1.396368-2 4.160814+2 1.584893-2 2.741465+2 1.798871-2 1.792795+2 2.041738-2 1.163890+2 2.344229-2 7.206500+1 2.691535-2 4.428395+1 3.126079-2 2.592903+1 3.672823-2 1.445316+1 4.365158-2 7.664373+0 5.308844-2 3.703682+0 6.683439-2 1.560872+0 1.188502-1 1.779043-1 1.479108-1 7.847093-2 1.778279-1 3.967273-2 2.041738-1 2.393268-2 2.344229-1 1.455060-2 2.660725-1 9.287605-3 3.019952-1 5.972951-3 3.388442-1 4.025936-3 3.801894-1 2.734184-3 4.216965-1 1.944056-3 4.677351-1 1.392202-3 5.188000-1 1.004094-3 5.688529-1 7.557549-4 6.165950-1 5.931354-4 6.760830-1 4.534318-4 7.413102-1 3.492975-4 8.709636-1 2.233483-4 9.225714-1 1.916494-4 9.660509-1 1.705407-4 1.011579+0 1.527026-4 1.059254+0 1.376700-4 1.109175+0 1.249148-4 1.174898+0 1.114468-4 1.258925+0 9.799185-5 1.364583+0 8.486089-5 1.531087+0 6.956569-5 1.819701+0 5.130766-5 2.018366+0 4.298129-5 2.317395+0 3.423098-5 2.660725+0 2.746542-5 3.054921+0 2.219587-5 3.548134+0 1.776015-5 4.120975+0 1.431686-5 4.841724+0 1.143847-5 5.754399+0 9.064374-6 6.839116+0 7.238060-6 8.317638+0 5.653184-6 1.011579+1 4.448722-6 1.273503+1 3.384076-6 1.621810+1 2.560855-6 2.137962+1 1.878734-6 2.884032+1 1.354252-6 4.073803+1 9.360070-7 6.095369+1 6.133112-7 1.083927+2 3.387812-7 2.162719+2 1.679101-7 4.315191+2 8.365967-8 1.717908+3 2.092506-8 1.000000+5 3.58850-10 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 4.352300-4 1.182100-4 1.000000+5 1.182100-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 4.352300-4 7.421800-8 1.000000+5 7.421800-8 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 4.352300-4 3.169458-4 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 4.124900-4 1.111100+5 4.171000-4 1.301415+5 4.210000-4 1.475288+5 4.245000-4 1.637201+5 4.275000-4 1.776694+5 4.303000-4 1.904091+5 4.330000-4 2.021144+5 4.343600-4 2.079296+5 4.365158-4 2.156475+5 4.385000-4 2.219694+5 4.415704-4 2.307844+5 4.450000-4 2.396088+5 4.490000-4 2.486718+5 4.530000-4 2.563914+5 4.570882-4 2.629689+5 4.630000-4 2.706312+5 4.731513-4 2.812094+5 5.040000-4 3.127986+5 5.150000-4 3.229278+5 5.308844-4 3.350647+5 5.559043-4 3.507213+5 5.800000-4 3.632076+5 6.000000-4 3.708990+5 6.237348-4 3.768246+5 6.500000-4 3.808284+5 6.760830-4 3.822920+5 7.079458-4 3.809910+5 7.413102-4 3.769496+5 7.800000-4 3.695886+5 8.222426-4 3.592691+5 8.700000-4 3.454746+5 9.225714-4 3.293309+5 9.772372-4 3.122866+5 1.035142-3 2.940626+5 1.096478-3 2.749875+5 1.174898-3 2.519557+5 1.258925-3 2.293448+5 1.333521-3 2.108169+5 1.445440-3 1.859700+5 1.566751-3 1.627938+5 1.698244-3 1.413863+5 1.850000-3 1.207938+5 2.018366-3 1.021077+5 2.213095-3 8.479391+4 2.400000-3 7.151580+4 2.630268-3 5.857832+4 2.884032-3 4.756600+4 3.162278-3 3.835555+4 3.500000-3 3.000948+4 3.845918-3 2.372234+4 4.265795-3 1.817990+4 4.786301-3 1.339951+4 5.308844-3 1.009977+4 5.821032-3 7.809127+3 6.456542-3 5.807974+3 7.244360-3 4.145737+3 8.128305-3 2.934866+3 9.120108-3 2.061086+3 1.023293-2 1.436415+3 1.148154-2 9.935365+2 1.288250-2 6.822002+2 1.445440-2 4.651286+2 1.640590-2 3.028253+2 1.862087-2 1.956057+2 2.113489-2 1.253842+2 2.398833-2 7.978622+1 2.754229-2 4.835863+1 3.198895-2 2.788489+1 3.715352-2 1.595701+1 4.365158-2 8.680617+0 5.248075-2 4.293846+0 6.456542-2 1.929552+0 1.161449-1 1.970377-1 1.412538-1 9.268881-2 1.548817-1 6.525900-2 2.065380-1 2.203899-2 2.317395-1 1.445893-2 2.570396-1 9.961005-3 2.851018-1 6.908277-3 3.198895-1 4.636720-3 3.548134-1 3.263918-3 3.890451-1 2.405401-3 4.265795-1 1.784883-3 4.677351-1 1.334180-3 5.069907-1 1.040868-3 5.495409-1 8.171730-4 6.000000-1 6.324496-4 6.531306-1 4.983606-4 7.079458-1 4.001177-4 8.709636-1 2.315242-4 9.225714-1 2.001565-4 9.660509-1 1.791021-4 1.011579+0 1.611879-4 1.071519+0 1.423517-4 1.135011+0 1.265468-4 1.216186+0 1.106819-4 1.318257+0 9.540516-5 1.862087+0 5.196443-5 2.089296+0 4.277006-5 2.398833+0 3.412610-5 2.754229+0 2.743175-5 3.162278+0 2.220856-5 3.672823+0 1.780141-5 4.265795+0 1.437336-5 5.011872+0 1.150181-5 5.956621+0 9.128978-6 7.161434+0 7.193670-6 8.709636+0 5.628515-6 1.047129+1 4.499143-6 1.303167+1 3.472642-6 1.659587+1 2.629865-6 2.213095+1 1.906173-6 3.000000+1 1.368000-6 4.265795+1 9.397589-7 6.382635+1 6.163139-7 1.122018+2 3.447281-7 2.238721+2 1.709255-7 4.466836+2 8.517685-8 1.778279+3 2.130789-8 1.000000+5 3.78270-10 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 4.124900-4 1.141500-4 1.000000+5 1.141500-4 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 4.124900-4 1.210000-8 1.000000+5 1.210000-8 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 4.124900-4 2.983279-4 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 1.530400-4 8.810521+4 1.531087-4 8.994118+4 1.534000-4 9.601860+4 1.537000-4 1.020756+5 1.541000-4 1.096242+5 1.545000-4 1.165974+5 1.548817-4 1.228021+5 1.552000-4 1.275546+5 1.557000-4 1.343922+5 1.561500-4 1.399134+5 1.566751-4 1.455923+5 1.572000-4 1.504890+5 1.578000-4 1.552176+5 1.585000-4 1.597410+5 1.593000-4 1.637478+5 1.600000-4 1.663956+5 1.610000-4 1.689858+5 1.621810-4 1.706365+5 1.635000-4 1.711794+5 1.648000-4 1.708026+5 1.672800-4 1.688032+5 1.710000-4 1.653306+5 1.733000-4 1.640040+5 1.755000-4 1.637814+5 1.777000-4 1.648140+5 1.792000-4 1.663128+5 1.810000-4 1.690140+5 1.828000-4 1.727394+5 1.850000-4 1.787106+5 1.873000-4 1.866372+5 1.890000-4 1.936044+5 1.915000-4 2.055348+5 1.940000-4 2.194704+5 1.972423-4 2.405518+5 2.000000-4 2.611800+5 2.041738-4 2.972776+5 2.100000-4 3.578670+5 2.213095-4 5.093208+5 2.264644-4 5.912878+5 2.300000-4 6.510300+5 2.344229-4 7.286121+5 2.390000-4 8.111040+5 2.430000-4 8.841000+5 2.480000-4 9.755820+5 2.520000-4 1.048320+6 2.570396-4 1.138923+6 2.620000-4 1.226400+6 2.670000-4 1.312278+6 2.730000-4 1.411536+6 2.786121-4 1.499673+6 2.851018-4 1.594581+6 2.917427-4 1.682856+6 2.985383-4 1.763047+6 3.054921-4 1.834265+6 3.130000-4 1.899300+6 3.200000-4 1.949568+6 3.280000-4 1.996350+6 3.390000-4 2.044272+6 3.507519-4 2.077754+6 3.630781-4 2.095212+6 3.740000-4 2.096460+6 3.850000-4 2.085696+6 4.000000-4 2.055672+6 4.168694-4 2.007677+6 4.365158-4 1.940380+6 4.570882-4 1.860870+6 4.786301-4 1.770338+6 5.011872-4 1.672181+6 5.248075-4 1.569360+6 5.559043-4 1.439137+6 5.888437-4 1.309672+6 6.237348-4 1.182426+6 6.606934-4 1.059970+6 7.079458-4 9.225568+5 7.500000-4 8.162700+5 8.035261-4 6.998513+5 8.609938-4 5.958363+5 9.225714-4 5.039227+5 1.000000-3 4.111140+5 1.083927-3 3.329841+5 1.174898-3 2.676828+5 1.273503-3 2.138398+5 1.400000-3 1.628970+5 1.513561-3 1.293946+5 1.659587-3 9.794872+4 1.850000-3 6.987660+4 2.018366-3 5.292711+4 2.213095-3 3.922222+4 2.454709-3 2.778485+4 2.722701-3 1.953097+4 3.054921-3 1.309039+4 3.427678-3 8.698111+3 3.845918-3 5.730247+3 4.300000-3 3.793554+3 4.786301-3 2.535912+3 5.370318-3 1.632118+3 6.025596-3 1.042657+3 6.760830-3 6.612116+2 7.585776-3 4.163853+2 8.609938-3 2.485442+2 9.660509-3 1.544169+2 1.096478-2 9.080461+1 1.244515-2 5.301548+1 1.412538-2 3.073533+1 1.603245-2 1.769208+1 1.840772-2 9.613263+0 2.137962-2 4.927128+0 2.511886-2 2.380543+0 3.054921-2 9.758743-1 3.758374-2 3.767667-1 5.011872-2 9.940793-2 8.222426-2 9.960875-3 9.885531-2 4.258843-3 1.161449-1 2.041723-3 1.364583-1 9.862001-4 1.640590-1 4.332455-4 1.840772-1 2.608080-4 2.018366-1 1.747391-4 2.238721-1 1.123195-4 2.483133-1 7.272510-5 2.754229-1 4.742822-5 3.126079-1 2.838009-5 3.427678-1 1.965383-5 3.758374-1 1.370354-5 4.027170-1 1.050899-5 4.415705-1 7.440588-6 4.954502-1 4.872185-6 5.495409-1 3.336333-6 5.888437-1 2.607688-6 6.025596-1 2.406922-6 6.382635-1 1.989310-6 6.839117-1 1.593943-6 7.498942-1 1.195876-6 8.000000-1 9.800600-7 8.511380-1 7.955139-7 8.912509-1 6.846759-7 9.225714-1 6.144848-7 9.549926-1 5.541600-7 9.885531-1 5.026676-7 1.023293+0 4.590588-7 1.059254+0 4.220394-7 1.096478+0 3.903195-7 1.135011+0 3.628833-7 1.188502+0 3.315768-7 1.258925+0 2.987857-7 1.333521+0 2.707517-7 1.500000+0 2.240900-7 1.927525+0 1.443695-7 2.162719+0 1.190097-7 2.483133+0 9.513163-8 2.851018+0 7.661623-8 3.311311+0 6.108336-8 3.845918+0 4.907515-8 4.518559+0 3.907903-8 5.370318+0 3.087006-8 6.382635+0 2.457692-8 7.673615+0 1.942204-8 9.332543+0 1.523561-8 1.174898+1 1.155679-8 1.462177+1 8.955169-9 1.862087+1 6.806297-9 2.454709+1 5.012363-9 3.388442+1 3.536784-9 5.000000+1 2.342700-9 7.673615+1 1.500903-9 1.273503+2 8.92697-10 2.540973+2 4.43132-10 5.069907+2 2.20986-10 4.027170+3 2.76997-11 1.000000+5 1.11460-12 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 1.530400-4 6.582600-5 1.000000+5 6.582600-5 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.530400-4 6.88000-10 1.000000+5 6.88000-10 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.530400-4 8.721331-5 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 1.478100-4 1.204176+5 1.479108-4 1.237290+5 1.482200-4 1.323776+5 1.484500-4 1.385672+5 1.487500-4 1.462256+5 1.490500-4 1.535416+5 1.495000-4 1.637104+5 1.499200-4 1.724592+5 1.502000-4 1.778544+5 1.507000-4 1.866928+5 1.512000-4 1.945840+5 1.516500-4 2.009128+5 1.520000-4 2.053520+5 1.525000-4 2.109944+5 1.532000-4 2.176352+5 1.540000-4 2.236384+5 1.548817-4 2.285762+5 1.555000-4 2.311496+5 1.565000-4 2.340280+5 1.575000-4 2.356272+5 1.590000-4 2.362688+5 1.610000-4 2.350664+5 1.660000-4 2.292416+5 1.680000-4 2.277224+5 1.698244-4 2.273170+5 1.720000-4 2.283552+5 1.740000-4 2.309728+5 1.760000-4 2.353216+5 1.780000-4 2.414816+5 1.800000-4 2.494944+5 1.821700-4 2.602957+5 1.842000-4 2.723776+5 1.865000-4 2.883600+5 1.890000-4 3.084720+5 1.915000-4 3.314464+5 1.950000-4 3.684640+5 1.995262-4 4.249553+5 2.060000-4 5.232192+5 2.150000-4 6.935656+5 2.205000-4 8.144320+5 2.240000-4 8.964000+5 2.280000-4 9.936000+5 2.317395-4 1.086709+6 2.365000-4 1.206920+6 2.400000-4 1.295600+6 2.450000-4 1.421648+6 2.500000-4 1.546096+6 2.560000-4 1.692032+6 2.620000-4 1.833208+6 2.670000-4 1.946136+6 2.730000-4 2.074728+6 2.786121-4 2.186981+6 2.851018-4 2.305506+6 2.917427-4 2.413328+6 2.985500-4 2.509245+6 3.054921-4 2.592225+6 3.130000-4 2.666392+6 3.200000-4 2.722464+6 3.280000-4 2.773000+6 3.390000-4 2.821576+6 3.507519-4 2.850211+6 3.630781-4 2.857157+6 3.758374-4 2.842477+6 3.890451-4 2.807942+6 4.050000-4 2.746728+6 4.216965-4 2.667704+6 4.415704-4 2.561943+6 4.623810-4 2.442826+6 4.850000-4 2.306736+6 5.080000-4 2.167376+6 5.370318-4 1.995673+6 5.700100-4 1.812446+6 6.025596-4 1.645316+6 6.382635-4 1.477190+6 6.839116-4 1.287124+6 7.300000-4 1.122312+6 7.800000-4 9.688080+5 8.413951-4 8.122671+5 9.015711-4 6.871921+5 9.772372-4 5.605970+5 1.059254-3 4.540975+5 1.150000-3 3.634104+5 1.244515-3 2.915762+5 1.364583-3 2.237574+5 1.479108-3 1.763841+5 1.640590-3 1.288368+5 1.819701-3 9.324076+4 1.972423-3 7.206972+4 2.162719-3 5.338633+4 2.426610-3 3.635204+4 2.722701-3 2.451998+4 3.054921-3 1.638767+4 3.400000-3 1.118064+4 3.758374-3 7.763266+3 4.168694-3 5.288970+3 4.623810-3 3.580109+3 5.188000-3 2.302212+3 5.821032-3 1.469144+3 6.531306-3 9.306780+2 7.328245-3 5.854367+2 8.222426-3 3.657035+2 1.000000-2 1.623633+2 1.135011-2 9.538773+1 1.230269-2 6.765383+1 1.380384-2 4.105416+1 1.548817-2 2.473369+1 1.757924-2 1.406236+1 2.065380-2 6.803135+0 2.426610-2 3.265117+0 2.884032-2 1.475297+0 3.548134-2 5.637946-1 4.466836-2 1.921754-1 6.000000-2 4.796141-2 8.222426-2 1.079131-2 9.772372-2 4.794149-3 1.122019-1 2.525066-3 1.303167-1 1.270451-3 1.500000-1 6.712964-4 1.698244-1 3.840683-4 1.883649-1 2.426330-4 2.065380-1 1.623440-4 2.238721-1 1.149607-4 2.454709-1 7.803035-5 2.691535-1 5.335123-5 2.951209-1 3.676942-5 3.235937-1 2.552527-5 3.589219-1 1.706537-5 3.935501-1 1.199829-5 4.265795-1 8.875442-6 4.623810-1 6.613070-6 4.954502-1 5.171638-6 5.308844-1 4.071232-6 5.623413-1 3.354048-6 6.025596-1 2.680968-6 6.456542-1 2.157905-6 7.079458-1 1.629919-6 7.673615-1 1.284030-6 8.317638-1 1.018810-6 9.015711-1 8.141087-7 9.660509-1 6.737673-7 1.000000+0 6.164400-7 1.035142+0 5.672177-7 1.083927+0 5.113948-7 1.135011+0 4.644574-7 1.188502+0 4.244322-7 1.273503+0 3.739795-7 1.380384+0 3.253502-7 1.513561+0 2.790340-7 1.862087+0 1.937810-7 2.065380+0 1.625034-7 2.371374+0 1.295769-7 2.722701+0 1.040961-7 3.126079+0 8.422710-8 3.630781+0 6.747405-8 4.216965+0 5.445189-8 4.954502+0 4.355092-8 5.888437+0 3.454711-8 7.079458+0 2.721014-8 8.609938+0 2.128034-8 1.035142+1 1.700298-8 1.288250+1 1.311919-8 1.640590+1 9.931178-9 2.162719+1 7.288258-9 2.917427+1 5.255302-9 4.120975+1 3.633171-9 6.165950+1 2.381111-9 1.096478+2 1.315532-9 2.187762+2 6.52108-10 4.365158+2 3.24928-10 1.737801+3 8.12756-11 1.000000+5 1.41000-12 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 1.478100-4 6.292400-5 1.000000+5 6.292400-5 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 1.478100-4 1.128000-8 1.000000+5 1.128000-8 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 1.478100-4 8.487472-5 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 1.528300-4 5.878040+4 1.568000-4 5.808260+4 1.590000-4 5.798760+4 1.630000-4 5.828960+4 1.737801-4 5.979437+4 1.800000-4 6.024420+4 1.862087-4 6.028371+4 1.950000-4 5.989900+4 2.371374-4 5.723739+4 2.511886-4 5.619258+4 2.660725-4 5.480926+4 2.851018-4 5.276247+4 3.126079-4 4.971724+4 3.388442-4 4.692002+4 3.630781-4 4.438873+4 3.935501-4 4.130300+4 4.365158-4 3.733966+4 4.786301-4 3.392793+4 5.248075-4 3.062039+4 5.956621-4 2.636844+4 6.683439-4 2.284977+4 7.673615-4 1.907607+4 8.810489-4 1.581011+4 1.035142-3 1.259463+4 1.244515-3 9.624924+3 1.500000-3 7.266660+3 1.819701-3 5.390425+3 2.213095-3 3.951882+3 2.660725-3 2.929228+3 3.198895-3 2.155751+3 3.845918-3 1.574525+3 4.623810-3 1.141507+3 5.559043-3 8.215038+2 6.683439-3 5.869954+2 8.128305-3 4.075645+2 9.772372-3 2.870469+2 1.188502-2 1.962792+2 1.445440-2 1.331593+2 1.737801-2 9.174556+1 2.089296-2 6.274463+1 2.511886-2 4.258213+1 3.019952-2 2.867253+1 3.589219-2 1.964520+1 4.265795-2 1.336515+1 5.069907-2 9.028001+0 6.095369-2 5.894057+0 7.328245-2 3.818141+0 9.015711-2 2.325069+0 1.109175-1 1.400554+0 1.445440-1 7.263230-1 2.691535-1 1.533412-1 3.273407-1 9.456414-2 3.890451-1 6.216492-2 4.518559-1 4.352011-2 5.188000-1 3.153584-2 5.956621-1 2.302766-2 6.760830-1 1.738793-2 7.673615-1 1.322342-2 8.709636-1 1.012479-2 9.772372-1 8.000404-3 1.135011+0 5.950501-3 1.288250+0 4.662265-3 1.462177+0 3.681177-3 1.640590+0 2.991372-3 1.862087+0 2.399218-3 2.113489+0 1.938394-3 2.426610+0 1.547566-3 2.786121+0 1.244722-3 3.198895+0 1.008320-3 3.715352+0 8.087189-4 4.315191+0 6.533476-4 5.069907+0 5.230914-4 6.025596+0 4.153821-4 7.244360+0 3.274863-4 8.810489+0 2.563461-4 1.059254+1 2.049952-4 1.318257+1 1.582795-4 1.659587+1 1.214892-4 2.213095+1 8.805641-5 3.019952+1 6.274683-5 4.315191+1 4.288674-5 6.456542+1 2.813274-5 1.122018+2 1.592484-5 2.238721+2 7.895806-6 4.466836+2 3.934818-6 1.778279+3 9.843059-7 1.000000+5 1.747400-8 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 1.528300-4 7.829100-5 1.000000+5 7.829100-5 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.528300-4 1.433700-9 1.000000+5 1.433700-9 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.528300-4 7.453757-5 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 1.109100-4 4.877680+5 1.113500-4 5.114680+5 1.117000-4 5.285440+5 1.121000-4 5.462800+5 1.126500-4 5.672600+5 1.130000-4 5.786080+5 1.135011-4 5.923471+5 1.142000-4 6.073340+5 1.148154-4 6.165338+5 1.154000-4 6.222380+5 1.161449-4 6.259997+5 1.169000-4 6.264220+5 1.177000-4 6.238240+5 1.188502-4 6.157628+5 1.202264-4 6.013947+5 1.216186-4 5.835848+5 1.235000-4 5.568580+5 1.260000-4 5.201660+5 1.303167-4 4.599970+5 1.428894-4 3.265567+5 1.548817-4 2.439871+5 1.678804-4 1.836931+5 1.778279-4 1.508898+5 1.883649-4 1.248174+5 1.980000-4 1.066118+5 2.080000-4 9.184320+4 2.187762-4 7.941334+4 2.290868-4 7.007382+4 2.371374-4 6.413250+4 2.454709-4 5.897922+4 2.540973-4 5.451107+4 2.650000-4 4.985960+4 2.770000-4 4.572440+4 2.900000-4 4.210840+4 3.054921-4 3.865745+4 3.200000-4 3.605140+4 3.388442-4 3.333082+4 3.600000-4 3.092660+4 3.850000-4 2.869840+4 4.168694-4 2.647663+4 4.700000-4 2.366480+4 6.382635-4 1.799310+4 7.413102-4 1.562316+4 8.413951-4 1.377143+4 9.660509-4 1.190612+4 1.096478-3 1.034013+4 1.244515-3 8.918142+3 1.412538-3 7.636372+3 1.603245-3 6.494503+3 1.819701-3 5.484951+3 2.070000-3 4.585840+3 2.371374-3 3.766636+3 2.691535-3 3.111997+3 3.054921-3 2.552241+3 3.427678-3 2.117672+3 3.890451-3 1.712454+3 4.415704-3 1.374650+3 5.011872-3 1.095432+3 5.688529-3 8.665589+2 6.456542-3 6.804917+2 7.328245-3 5.306165+2 8.317638-3 4.108563+2 9.440609-3 3.159208+2 1.083927-2 2.353494+2 1.230269-2 1.784176+2 1.412538-2 1.308860+2 1.603245-2 9.783603+1 1.840772-2 7.068309+1 2.113489-2 5.067767+1 2.426610-2 3.606563+1 2.786121-2 2.548568+1 3.198895-2 1.788362+1 3.715352-2 1.209323+1 4.365158-2 7.875276+0 5.188000-2 4.935877+0 6.237348-2 2.976674+0 7.673615-2 1.671510+0 9.120108-2 1.025586+0 1.230269-1 4.355036-1 1.840772-1 1.371148-1 2.290868-1 7.367484-2 2.722701-1 4.541356-2 3.198895-1 2.911845-2 3.672823-1 2.002965-2 4.168694-1 1.430759-2 4.731513-1 1.029314-2 5.308844-1 7.681760-3 5.956621-1 5.773836-3 6.683439-1 4.374125-3 7.413102-1 3.430188-3 8.511380-1 2.502367-3 9.225714-1 2.093888-3 1.000000+0 1.764100-3 1.096478+0 1.462953-3 1.202264+0 1.221907-3 1.333521+0 1.005082-3 1.513561+0 7.981629-4 1.737801+0 6.244843-4 1.972423+0 5.023821-4 2.264644+0 3.995602-4 2.600160+0 3.202011-4 3.000000+0 2.565500-4 3.467369+0 2.065626-4 4.027170+0 1.663284-4 4.731513+0 1.327460-4 5.623413+0 1.050855-4 6.683439+0 8.383014-5 8.128305+0 6.541595-5 9.885531+0 5.143032-5 1.258925+1 3.856777-5 1.603245+1 2.917462-5 2.089296+1 2.167134-5 2.818383+1 1.561194-5 3.981072+1 1.078509-5 5.888437+1 7.148494-6 1.035142+2 3.993168-6 2.065380+2 1.978033-6 4.120975+2 9.853115-7 1.640590+3 2.463963-7 1.000000+5 4.035000-9 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 1.109100-4 5.556600-5 1.000000+5 5.556600-5 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.109100-4 2.455400-9 1.000000+5 2.455400-9 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.109100-4 5.534154-5 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 8.764000-5 1.101244+6 8.820000-5 1.128392+6 8.880000-5 1.151444+6 8.940000-5 1.168048+6 9.015711-5 1.181122+6 9.076600-5 1.186189+6 9.150000-5 1.186676+6 9.230000-5 1.181160+6 9.350000-5 1.163988+6 9.450000-5 1.143660+6 9.580000-5 1.111736+6 9.772372-5 1.058096+6 1.000000-4 9.914840+5 1.040000-4 8.791800+5 1.135011-4 6.669762+5 1.190000-4 5.773520+5 1.244515-4 5.068753+5 1.300000-4 4.498280+5 1.350000-4 4.083920+5 1.400000-4 3.744152+5 1.450000-4 3.463584+5 1.507700-4 3.197204+5 1.566751-4 2.973391+5 1.640590-4 2.744958+5 1.720000-4 2.545700+5 1.820000-4 2.343440+5 1.927525-4 2.169471+5 2.041738-4 2.020530+5 2.187762-4 1.868683+5 2.371374-4 1.719163+5 3.507519-4 1.177398+5 4.027170-4 1.022484+5 4.570882-4 8.922668+4 5.188000-4 7.728142+4 5.888437-4 6.647413+4 6.700000-4 5.658400+4 7.673615-4 4.741828+4 8.709636-4 3.993498+4 1.000000-3 3.288840+4 1.150000-3 2.682868+4 1.318257-3 2.184509+4 1.513561-3 1.762877+4 1.757924-3 1.387152+4 2.041738-3 1.082867+4 2.344229-3 8.552216+3 2.691535-3 6.706106+3 3.090295-3 5.218986+3 3.548134-3 4.029572+3 4.073803-3 3.086736+3 4.677351-3 2.345883+3 5.308844-3 1.811322+3 6.095369-3 1.355624+3 6.918310-3 1.032090+3 7.852356-3 7.804206+2 9.000000-3 5.731040+2 1.023293-2 4.254883+2 1.174898-2 3.064594+2 1.348963-2 2.189748+2 1.536000-2 1.584990+2 1.757924-2 1.124217+2 2.018366-2 7.847800+1 2.317395-2 5.435757+1 2.660725-2 3.736861+1 3.054921-2 2.550302+1 3.507519-2 1.728304+1 4.027170-2 1.163187+1 4.677351-2 7.513602+0 5.495409-2 4.656045+0 6.531306-2 2.766462+0 7.943282-2 1.521174+0 1.000000-1 7.465462-1 1.757924-1 1.281795-1 2.187762-1 6.516712-2 2.570396-1 3.985448-2 2.951209-1 2.632165-2 3.349654-1 1.811482-2 3.801894-1 1.255901-2 4.265795-1 9.068005-3 4.786301-1 6.597702-3 5.308844-1 4.990708-3 5.888437-1 3.801921-3 6.531306-1 2.918144-3 7.244360-1 2.256750-3 8.511380-1 1.531101-3 9.120108-1 1.303792-3 9.660509-1 1.146627-3 1.023293+0 1.014527-3 1.109175+0 8.607929-4 1.216186+0 7.188740-4 1.333521+0 6.050535-4 1.548817+0 4.622097-4 1.778279+0 3.621211-4 2.000000+0 2.961700-4 2.290868+0 2.366597-4 2.630268+0 1.897683-4 3.019952+0 1.532669-4 3.507519+0 1.225648-4 4.073803+0 9.874785-5 4.786301+0 7.885193-5 5.688529+0 6.245388-5 6.760830+0 4.984577-5 8.222427+0 3.891420-5 1.000000+1 3.060900-5 1.273503+1 2.296346-5 1.621810+1 1.737728-5 2.137962+1 1.274814-5 2.884032+1 9.189679-6 4.027170+1 6.429392-6 6.025596+1 4.211813-6 1.071519+2 2.326115-6 2.137962+2 1.152698-6 4.265795+2 5.742958-7 1.698244+3 1.436366-7 1.000000+5 2.435000-9 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 8.764000-5 5.300500-5 1.000000+5 5.300500-5 1 82000 7 7 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 8.764000-5 6.15160-10 1.000000+5 6.15160-10 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 8.764000-5 3.463438-5 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 2.881000-5 1.989856+6 2.917427-5 2.036178+6 2.951209-5 2.092774+6 2.970000-5 2.130724+6 3.010000-5 2.228424+6 3.040000-5 2.317060+6 3.080000-5 2.456456+6 3.120000-5 2.620648+6 3.162278-5 2.823816+6 3.210000-5 3.091756+6 3.260000-5 3.418456+6 3.315000-5 3.834776+6 3.388442-5 4.490404+6 3.630781-5 7.526153+6 3.715352-5 8.894776+6 3.770000-5 9.850560+6 3.830000-5 1.094924+7 3.900000-5 1.227292+7 3.950000-5 1.322728+7 4.000000-5 1.417536+7 4.050000-5 1.509832+7 4.110000-5 1.615500+7 4.168694-5 1.710927+7 4.220000-5 1.786432+7 4.280000-5 1.863752+7 4.330000-5 1.918344+7 4.370000-5 1.955276+7 4.420000-5 1.992784+7 4.485000-5 2.027496+7 4.540000-5 2.044852+7 4.610000-5 2.052364+7 4.680000-5 2.045388+7 4.760000-5 2.022460+7 4.850000-5 1.981568+7 4.950000-5 1.922352+7 5.040000-5 1.860700+7 5.150000-5 1.779016+7 5.300000-5 1.662940+7 5.450000-5 1.547268+7 5.650000-5 1.399800+7 5.900000-5 1.231020+7 6.165950-5 1.071633+7 6.456542-5 9.197989+6 6.760830-5 7.835492+6 7.079458-5 6.625642+6 7.413102-5 5.561415+6 7.800000-5 4.547840+6 8.300000-5 3.527132+6 8.912509-5 2.614133+6 9.660509-5 1.848112+6 1.047129-4 1.297439+6 1.122018-4 9.521270+5 1.190000-4 7.274120+5 1.260000-4 5.567760+5 1.350000-4 4.003320+5 1.584893-4 1.833915+5 1.659587-4 1.473292+5 1.720000-4 1.249644+5 1.780000-4 1.073964+5 1.835000-4 9.453160+4 1.883649-4 8.525036+4 1.930000-4 7.792600+4 1.980000-4 7.141200+4 2.020000-4 6.707640+4 2.065380-4 6.295458+4 2.113489-4 5.937055+4 2.162719-4 5.640581+4 2.213095-4 5.398609+4 2.264644-4 5.204425+4 2.317395-4 5.051885+4 2.371374-4 4.935504+4 2.430000-4 4.846000+4 2.500000-4 4.778880+4 2.580000-4 4.742440+4 2.660725-4 4.737719+4 2.770000-4 4.766720+4 2.917427-4 4.843041+4 3.388442-4 5.132862+4 3.650000-4 5.243000+4 3.890451-4 5.299278+4 4.120975-4 5.316561+4 4.365158-4 5.299837+4 4.623810-4 5.248302+4 4.897788-4 5.164344+4 5.248075-4 5.024768+4 5.559043-4 4.880884+4 5.956621-4 4.681068+4 6.382635-4 4.453983+4 6.839116-4 4.209397+4 7.413102-4 3.909555+4 8.035261-4 3.599895+4 8.709636-4 3.287952+4 9.440609-4 2.982178+4 1.023293-3 2.685177+4 1.109175-3 2.402119+4 1.202264-3 2.135181+4 1.318257-3 1.852136+4 1.445440-3 1.594129+4 1.584893-3 1.362077+4 1.737801-3 1.155442+4 1.905461-3 9.731111+3 2.089296-3 8.138168+3 2.290868-3 6.759324+3 2.511886-3 5.575955+3 2.754229-3 4.568994+3 3.019952-3 3.719210+3 3.349654-3 2.927566+3 3.715352-3 2.286084+3 4.120975-3 1.771304+3 4.570882-3 1.362076+3 5.069907-3 1.039781+3 5.623413-3 7.881942+2 6.237348-3 5.932924+2 6.918310-3 4.435082+2 7.673615-3 3.293210+2 8.609938-3 2.348135+2 9.772372-3 1.607726+2 1.096478-2 1.130557+2 1.219600-2 8.105345+1 1.364583-2 5.650912+1 1.548817-2 3.732890+1 1.778279-2 2.356645+1 2.018366-2 1.535014+1 2.290868-2 9.926296+0 2.630268-2 6.123837+0 3.019952-2 3.751046+0 3.507519-2 2.189003+0 4.120975-2 1.216480+0 4.954502-2 6.166854-1 6.165950-2 2.726671-1 1.230269-1 2.027375-2 1.531088-1 8.960878-3 1.819701-1 4.734239-3 2.089296-1 2.861013-3 2.398833-1 1.742511-3 2.722701-1 1.114047-3 3.090295-1 7.175634-4 3.467369-1 4.843815-4 3.890451-1 3.294698-4 4.315191-1 2.345715-4 4.786301-1 1.682179-4 5.308844-1 1.215453-4 5.821032-1 9.168945-5 6.309573-1 7.213161-5 6.918310-1 5.525702-5 7.585776-1 4.263928-5 8.035261-1 3.636902-5 8.609938-1 2.996330-5 9.120108-1 2.565728-5 9.549926-1 2.278889-5 1.000000+0 2.036400-5 1.047129+0 1.832433-5 1.096478+0 1.659934-5 1.161449+0 1.478571-5 1.230269+0 1.326220-5 1.333521+0 1.146642-5 1.479108+0 9.589884-6 1.862087+0 6.399666-6 2.065380+0 5.368376-6 2.371374+0 4.280694-6 2.722701+0 3.438870-6 3.126079+0 2.782462-6 3.630781+0 2.229046-6 4.216965+0 1.798848-6 4.954502+0 1.438705-6 5.888437+0 1.141252-6 7.079458+0 8.988846-7 8.609938+0 7.029975-7 1.035142+1 5.616900-7 1.288250+1 4.333851-7 1.640590+1 3.280822-7 2.162719+1 2.407679-7 2.917427+1 1.736058-7 4.120975+1 1.200205-7 6.165950+1 7.865950-8 1.096478+2 4.345826-8 2.187762+2 2.154233-8 4.365158+2 1.073402-8 1.737801+3 2.684936-9 1.000000+5 4.65780-11 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 2.881000-5 2.881000-5 1.000000+5 2.881000-5 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 2.881000-5 0.0 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 2.603000-5 3.850518+6 2.640000-5 3.897732+6 2.670000-5 3.960540+6 2.700000-5 4.045194+6 2.735600-5 4.176698+6 2.765000-5 4.310820+6 2.800000-5 4.501722+6 2.840000-5 4.761840+6 2.884032-5 5.102099+6 2.920000-5 5.423304+6 2.965000-5 5.882106+6 3.020000-5 6.532200+6 3.080000-5 7.357920+6 3.162278-5 8.695530+6 3.370000-5 1.314132+7 3.450000-5 1.522470+7 3.526900-5 1.737085+7 3.590000-5 1.919814+7 3.650000-5 2.095422+7 3.715352-5 2.284343+7 3.770000-5 2.436714+7 3.830000-5 2.594430+7 3.890451-5 2.739418+7 3.950000-5 2.865546+7 4.000000-5 2.956830+7 4.050000-5 3.033744+7 4.113100-5 3.109530+7 4.168694-5 3.156675+7 4.220000-5 3.184356+7 4.280000-5 3.198606+7 4.350000-5 3.192804+7 4.420000-5 3.166002+7 4.500000-5 3.114120+7 4.570882-5 3.053194+7 4.650000-5 2.972730+7 4.760000-5 2.846058+7 4.850000-5 2.734860+7 5.000000-5 2.544192+7 5.150000-5 2.355594+7 5.350000-5 2.116926+7 5.580000-5 1.866942+7 5.821032-5 1.634356+7 6.095369-5 1.403665+7 6.382635-5 1.196534+7 6.683439-5 1.012496+7 7.000000-5 8.499600+6 7.328245-5 7.099250+6 7.673615-5 5.888240+6 8.128305-5 4.629005+6 8.709636-5 3.440467+6 9.332543-5 2.540772+6 1.011579-4 1.770329+6 1.083927-4 1.290436+6 1.161449-4 9.339737+5 1.244515-4 6.707780+5 1.480000-4 2.876478+5 1.548817-4 2.315981+5 1.603245-4 1.974938+5 1.659587-4 1.695427+5 1.705000-4 1.513866+5 1.740000-4 1.395996+5 1.780000-4 1.281276+5 1.820000-4 1.184844+5 1.865000-4 1.094874+5 1.905461-4 1.028156+5 1.950000-4 9.677640+4 1.995262-4 9.181803+4 2.041738-4 8.775758+4 2.089296-4 8.450118+4 2.137962-4 8.194730+4 2.190000-4 7.993020+4 2.240000-4 7.855740+4 2.300000-4 7.748940+4 2.371374-4 7.684886+4 2.454709-4 7.672373+4 2.540973-4 7.708639+4 2.660725-4 7.809769+4 3.150000-4 8.338800+4 3.350000-4 8.492340+4 3.550000-4 8.587200+4 3.780000-4 8.628660+4 4.000000-4 8.610420+4 4.280000-4 8.519640+4 4.518559-4 8.392908+4 4.841724-4 8.169726+4 5.150000-4 7.916880+4 5.500000-4 7.608060+4 5.900000-4 7.235940+4 6.309573-4 6.848822+4 6.760830-4 6.431845+4 7.328245-4 5.931214+4 8.000000-4 5.380986+4 8.609938-4 4.925176+4 9.332543-4 4.438378+4 1.011579-3 3.973611+4 1.096478-3 3.535167+4 1.202264-3 3.069769+4 1.318257-3 2.644928+4 1.445440-3 2.261751+4 1.584893-3 1.920361+4 1.737801-3 1.619051+4 1.905461-3 1.355421+4 2.089296-3 1.126926+4 2.290868-3 9.306269+3 2.511886-3 7.633599+3 2.754229-3 6.220010+3 3.019952-3 5.034905+3 3.349654-3 3.938216+3 3.715352-3 3.055862+3 4.120975-3 2.352768+3 4.570882-3 1.797707+3 5.069907-3 1.363413+3 5.623413-3 1.026552+3 6.237348-3 7.676662+2 6.918310-3 5.701074+2 7.673615-3 4.205400+2 8.609938-3 2.976743+2 9.549926-3 2.165834+2 1.035142-2 1.682085+2 1.161449-2 1.162702+2 1.333521-2 7.398018+1 1.513561-2 4.858723+1 1.678804-2 3.422973+1 1.905461-2 2.213266+1 2.162719-2 1.420200+1 2.454709-2 9.048940+0 2.818383-2 5.492437+0 3.235937-2 3.308867+0 3.758374-2 1.896470+0 4.415704-2 1.033600+0 5.248075-2 5.353745-1 6.531306-2 2.305625-1 1.188502-1 2.265427-2 1.445440-1 1.068145-2 1.698244-1 5.788692-3 1.949845-1 3.448949-3 2.187762-1 2.256071-3 2.454709-1 1.486368-3 2.722701-1 1.027759-3 3.019952-1 7.154860-4 3.349654-1 5.016716-4 3.672823-1 3.683665-4 4.027170-1 2.723275-4 4.415705-1 2.028197-4 4.841724-1 1.521789-4 5.308844-1 1.150558-4 5.754399-1 9.067652-5 6.165950-1 7.433420-5 6.683439-1 5.934380-5 7.244360-1 4.768402-5 8.609938-1 3.029143-5 9.120108-1 2.620243-5 9.660509-1 2.282533-5 1.011579+0 2.056548-5 1.071519+0 1.817866-5 1.148154+0 1.580155-5 1.230269+0 1.383460-5 1.333521+0 1.193144-5 1.840772+0 6.761015-6 2.065380+0 5.561431-6 2.371374+0 4.434779-6 2.722701+0 3.562541-6 3.126079+0 2.882437-6 3.630781+0 2.309164-6 4.216965+0 1.863531-6 4.954502+0 1.490446-6 5.888437+0 1.182255-6 7.079458+0 9.311960-7 8.609938+0 7.282698-7 1.035142+1 5.818845-7 1.288250+1 4.489595-7 1.640590+1 3.398720-7 2.162719+1 2.494200-7 2.917427+1 1.798521-7 4.120975+1 1.243330-7 6.165950+1 8.148691-8 1.096478+2 4.502073-8 2.187762+2 2.231679-8 4.365158+2 1.111969-8 1.737801+3 2.781402-9 1.000000+5 4.82520-11 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 2.603000-5 2.603000-5 1.000000+5 2.603000-5 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 2.603000-5 0.0 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 1.505000-5 2.912680+6 1.659587-5 1.888686+6 2.213095-5 5.195958+5 2.426610-5 3.459867+5 2.580000-5 2.655180+5 2.730000-5 2.094420+5 2.851018-5 1.756405+5 2.951209-5 1.533921+5 3.054921-5 1.346277+5 3.162278-5 1.188360+5 3.273407-5 1.055778+5 3.388442-5 9.447328+4 3.507519-5 8.519324+4 3.610000-5 7.864440+4 3.730000-5 7.232500+4 3.850000-5 6.717280+4 3.981072-5 6.259959+4 4.120975-5 5.867103+4 4.265795-5 5.540860+4 4.415704-5 5.269484+4 4.570882-5 5.042982+4 4.731513-5 4.852579+4 4.954502-5 4.642778+4 5.188000-5 4.470578+4 5.500000-5 4.289260+4 6.025596-5 4.055519+4 7.500000-5 3.575700+4 8.413951-5 3.324446+4 9.440609-5 3.067023+4 1.047129-4 2.832865+4 1.161449-4 2.598863+4 1.303167-4 2.343329+4 1.513561-4 2.031255+4 1.883649-4 1.633416+4 2.150000-4 1.423360+4 2.400000-4 1.261144+4 2.691535-4 1.103971+4 3.126079-4 9.202486+3 3.630781-4 7.611596+3 4.519970-4 5.708880+3 5.248075-4 4.665198+3 6.165950-4 3.719755+3 7.498942-4 2.800639+3 9.225714-4 2.059886+3 1.148154-3 1.475472+3 1.428894-3 1.048842+3 1.798871-3 7.268336+2 2.264644-3 4.997164+2 2.786121-3 3.540920+2 3.388442-3 2.539491+2 3.801894-3 2.079548+2 4.954502-3 1.294016+2 6.382635-3 8.192883+1 7.852356-3 5.596146+1 9.225714-3 4.125636+1 1.109175-2 2.890105+1 1.333521-2 2.009705+1 1.621810-2 1.355742+1 1.949845-2 9.293799+0 2.344229-2 6.323521+0 2.818383-2 4.269645+0 3.349654-2 2.933160+0 4.027170-2 1.949983+0 4.841724-2 1.286080+0 5.754399-2 8.637718-1 6.918310-2 5.607236-1 8.413951-2 3.515916-1 9.772372-2 2.445517-1 1.230269-1 1.387402-1 1.698244-1 6.214474-2 2.660725-1 2.020047-2 3.273407-1 1.210641-2 3.890451-1 7.958887-3 4.518559-1 5.572212-3 5.188000-1 4.038232-3 5.956621-1 2.949241-3 6.760830-1 2.227335-3 7.673615-1 1.694289-3 8.709636-1 1.297805-3 9.772372-1 1.025871-3 1.135011+0 7.631525-4 1.288250+0 5.979277-4 1.462177+0 4.720691-4 1.640590+0 3.835744-4 1.862087+0 3.076345-4 2.113489+0 2.485778-4 2.426610+0 1.984702-4 2.786121+0 1.596244-4 3.198895+0 1.293024-4 3.715352+0 1.037058-4 4.315191+0 8.378115-5 5.069907+0 6.707774-5 6.025596+0 5.326650-5 7.244360+0 4.199522-5 8.810489+0 3.287164-5 1.059254+1 2.628754-5 1.303167+1 2.057158-5 1.659587+1 1.557822-5 2.213095+1 1.129181-5 3.019952+1 8.046275-6 4.315191+1 5.499528-6 6.456542+1 3.607554-6 1.135011+2 2.018172-6 2.264644+2 1.000820-6 4.518559+2 4.987656-7 1.798871+3 1.247746-7 1.000000+5 2.240800-9 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 1.505000-5 1.505000-5 1.000000+5 1.505000-5 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 1.505000-5 0.0 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 7.000000-6 1.280801+7 7.244360-6 1.226731+7 7.673615-6 1.133703+7 8.128305-6 1.039685+7 8.709636-6 9.289698+6 9.225714-6 8.396975+6 9.885531-6 7.383446+6 1.050000-5 6.557937+6 1.122018-5 5.716253+6 1.202264-5 4.920843+6 1.303167-5 4.098739+6 1.420000-5 3.344642+6 1.531087-5 2.779734+6 1.678804-5 2.200348+6 1.862087-5 1.679124+6 2.113489-5 1.195890+6 2.500000-5 7.553670+5 3.273407-5 3.574373+5 4.265795-5 1.702501+5 5.128614-5 1.009908+5 6.095369-5 6.145546+4 8.609938-5 2.252573+4 9.800000-5 1.555761+4 1.096478-4 1.136356+4 1.202264-4 8.839302+3 1.303167-4 7.136274+3 1.412538-4 5.801161+3 1.513561-4 4.888778+3 1.621810-4 4.146645+3 1.737801-4 3.542425+3 1.862087-4 3.048502+3 1.995262-4 2.642694+3 2.137962-4 2.308000+3 2.290868-4 2.031757+3 2.454709-4 1.802330+3 2.630268-4 1.610249+3 2.818383-4 1.448163+3 3.054921-4 1.289412+3 3.311311-4 1.156713+3 3.630781-4 1.029790+3 4.000000-4 9.183338+2 4.518559-4 8.027736+2 6.165950-4 5.751155+2 8.035261-4 4.280134+2 9.332543-4 3.604714+2 1.083927-3 3.010836+2 1.258925-3 2.496278+2 1.462177-3 2.053988+2 1.698244-3 1.677238+2 1.949845-3 1.381129+2 2.238721-3 1.129040+2 2.570396-3 9.160177+1 3.051000-3 6.990471+1 3.090295-3 6.984741+1 3.126079-3 6.963102+1 3.162278-3 6.926593+1 3.235937-3 6.812251+1 3.311311-3 6.648917+1 3.388442-3 6.444485+1 3.467369-3 6.207120+1 3.548134-3 5.944898+1 3.630781-3 5.665506+1 3.758374-3 5.229493+1 3.890451-3 4.791139+1 4.000000-3 4.448129+1 4.570882-3 3.517837+1 5.188000-3 2.795157+1 5.888437-3 2.205468+1 6.683439-3 1.728165+1 7.585776-3 1.344831+1 8.609938-3 1.039340+1 9.772372-3 7.977672+0 1.109175-2 6.082188+0 1.273503-2 4.489528+0 1.462177-2 3.287599+0 1.659587-2 2.453435+0 1.905461-2 1.769562+0 2.187762-2 1.266638+0 2.511886-2 9.000093-1 2.884032-2 6.350235-1 3.349654-2 4.318373-1 3.890451-2 2.914692-1 4.570882-2 1.894119-1 5.308844-2 1.260764-1 6.382635-2 7.576919-2 7.852356-2 4.237345-2 1.000000-1 2.133300-2 1.840772-1 3.710240-3 2.317395-1 1.930407-3 2.754229-1 1.190625-3 3.235937-1 7.639709-4 3.715352-1 5.259272-4 4.216965-1 3.759886-4 4.786301-1 2.707426-4 5.370318-1 2.022655-4 6.025596-1 1.522032-4 6.760830-1 1.154480-4 7.498942-1 9.064772-5 8.511380-1 6.798392-5 9.225714-1 5.693189-5 1.000000+0 4.799500-5 1.096478+0 3.981615-5 1.216186+0 3.253154-5 1.348963+0 2.677502-5 1.548817+0 2.083339-5 1.757924+0 1.665161-5 2.000000+0 1.335200-5 2.290868+0 1.066880-5 2.630268+0 8.555065-6 3.019952+0 6.909785-6 3.507519+0 5.525652-6 4.073803+0 4.451875-6 4.786301+0 3.554832-6 5.688529+0 2.815601-6 6.760830+0 2.247211-6 8.222427+0 1.754378-6 1.000000+1 1.379900-6 1.273503+1 1.035282-6 1.621810+1 7.834211-7 2.137962+1 5.747276-7 2.884032+1 4.143004-7 4.027170+1 2.898522-7 6.025596+1 1.898775-7 1.071519+2 1.048642-7 2.137962+2 5.196852-8 4.265795+2 2.589098-8 1.698244+3 6.475585-9 1.000000+5 1.09780-10 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 7.000000-6 7.000000-6 1.000000+5 7.000000-6 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 7.000000-6 0.0 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 5.290000-6 2.928470+7 5.821032-6 2.437205+7 6.309573-6 2.073865+7 6.839116-6 1.753890+7 7.413102-6 1.474838+7 8.128305-6 1.200958+7 8.912509-6 9.709796+6 9.772372-6 7.793912+6 1.071519-5 6.211306+6 1.188502-5 4.774214+6 1.310000-5 3.700857+6 1.462177-5 2.755079+6 1.650000-5 1.975555+6 1.905461-5 1.317263+6 2.264644-5 8.031490+5 3.935501-5 1.621179+5 4.677351-5 9.892997+4 5.248075-5 7.162137+4 5.800000-5 5.449386+4 6.309573-5 4.360231+4 6.800000-5 3.602524+4 7.300000-5 3.028339+4 7.800000-5 2.592767+4 8.317638-5 2.245646+4 8.912509-5 1.938403+4 9.549926-5 1.686006+4 1.023293-4 1.477095+4 1.096478-4 1.303512+4 1.174898-4 1.158283+4 1.260000-4 1.034819+4 1.364583-4 9.176341+3 1.479108-4 8.193877+3 1.603245-4 7.371212+3 1.778279-4 6.485955+3 2.089296-4 5.375157+3 3.019952-4 3.531313+3 3.845918-4 2.642225+3 4.786301-4 2.024097+3 5.495409-4 1.699219+3 6.165950-4 1.459917+3 7.413102-4 1.133252+3 9.000000-4 8.618725+2 1.047129-3 6.898437+2 1.230269-3 5.400801+2 1.445440-3 4.194933+2 1.698244-3 3.233507+2 1.972423-3 2.520589+2 2.290868-3 1.950093+2 2.660725-3 1.496888+2 3.054921-3 1.164311+2 3.507519-3 8.984847+1 4.027170-3 6.879577+1 4.623810-3 5.228117+1 5.308844-3 3.942196+1 6.095369-3 2.949242+1 6.998420-3 2.188924+1 8.000000-3 1.627660+1 9.120108-3 1.208703+1 1.047129-2 8.763461+0 1.202264-2 6.303461+0 1.364583-2 4.627444+0 1.548817-2 3.374008+0 1.778279-2 2.371627+0 2.041738-2 1.653881+0 2.344229-2 1.144350+0 2.691535-2 7.858616-1 3.090295-2 5.359211-1 3.589219-2 3.511668-1 4.168694-2 2.283080-1 4.841724-2 1.473326-1 5.688529-2 9.124474-2 6.683439-2 5.609626-2 8.128305-2 3.082424-2 1.023293-1 1.511409-2 1.757924-1 2.789494-3 2.187762-1 1.418565-3 2.570396-1 8.677645-4 2.951209-1 5.732718-4 3.349654-1 3.946624-4 3.801894-1 2.737382-4 4.265795-1 1.977473-4 4.731513-1 1.485560-4 5.248075-1 1.123599-4 5.821032-1 8.559695-5 6.456542-1 6.571340-5 7.161434-1 5.084689-5 7.943282-1 3.965485-5 8.709636-1 3.190177-5 9.332543-1 2.727174-5 9.885531-1 2.406371-5 1.071519+0 2.036961-5 1.174898+0 1.696635-5 1.288250+0 1.423753-5 1.428894+0 1.177941-5 1.717908+0 8.484646-6 1.949845+0 6.819665-6 2.213095+0 5.523230-6 2.540973+0 4.420757-6 2.917427+0 3.564225-6 3.388442+0 2.845030-6 3.935501+0 2.288321-6 4.623810+0 1.824188-6 5.495409+0 1.442590-6 6.531306+0 1.149687-6 7.943282+0 8.962952-7 9.660509+0 7.040485-7 1.244515+1 5.204155-7 1.603245+1 3.883931-7 2.089296+1 2.885061-7 2.818383+1 2.078412-7 3.935501+1 1.453335-7 5.821032+1 9.631286-8 1.023293+2 5.378971-8 2.041738+2 2.664206-8 4.073803+2 1.326967-8 1.621810+3 3.318208-9 1.000000+5 5.37160-11 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 5.290000-6 5.290000-6 1.000000+5 5.290000-6 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 5.290000-6 0.0 1.000000+5 1.000000+5 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 6.042730-7 1.025800+0 1.089020-6 1.026100+0 1.366320-6 1.026600+0 1.926190-6 1.027100+0 2.620620-6 1.027500+0 3.282300-6 1.028100+0 4.468790-6 1.028750+0 6.042730-6 1.029500+0 8.269640-6 1.030100+0 1.040010-5 1.031000+0 1.423080-5 1.032000+0 1.947140-5 1.033200+0 2.727610-5 1.034000+0 3.348390-5 1.035300+0 4.544960-5 1.036640+0 6.042730-5 1.038200+0 8.154860-5 1.039700+0 1.059480-4 1.041500+0 1.409630-4 1.043800+0 1.956610-4 1.046400+0 2.722250-4 1.048300+0 3.389280-4 1.051200+0 4.597480-4 1.054080+0 6.042730-4 1.057700+0 8.236630-4 1.061100+0 1.071380-3 1.065100+0 1.418390-3 1.070400+0 1.978800-3 1.076200+0 2.734700-3 1.080600+0 3.415200-3 1.087100+0 4.601390-3 1.093710+0 6.042730-3 1.102600+0 8.378040-3 1.110700+0 1.092640-2 1.120600+0 1.461590-2 1.133300+0 2.032190-2 1.147500+0 2.805800-2 1.158200+0 3.486890-2 1.174100+0 4.660460-2 1.190110+0 6.042730-2 1.205100+0 7.522510-2 1.227500+0 1.006880-1 1.250000+0 1.301000-1 1.265600+0 1.525540-1 1.294900+0 1.988610-1 1.331800+0 2.638540-1 1.362600+0 3.228960-1 1.397000+0 3.929490-1 1.433800+0 4.717710-1 1.477900+0 5.705000-1 1.500000+0 6.215000-1 1.562500+0 7.703650-1 1.617200+0 9.048230-1 1.712900+0 1.145770+0 1.784700+0 1.328680+0 1.892300+0 1.602870+0 2.000000+0 1.875000+0 2.044000+0 1.985000+0 2.163500+0 2.278420+0 2.372600+0 2.771400+0 2.686300+0 3.462090+0 3.000000+0 4.102000+0 3.500000+0 5.038630+0 4.000000+0 5.891000+0 5.000000+0 7.389000+0 6.000000+0 8.680000+0 7.000000+0 9.816000+0 8.000000+0 1.084000+1 9.000000+0 1.177000+1 1.000000+1 1.263000+1 1.100000+1 1.342000+1 1.200000+1 1.416000+1 1.300000+1 1.485000+1 1.400000+1 1.550000+1 1.500000+1 1.610000+1 1.600000+1 1.666000+1 1.800000+1 1.768000+1 2.000000+1 1.859000+1 2.200000+1 1.941000+1 2.400000+1 2.016000+1 2.600000+1 2.084000+1 2.800000+1 2.147000+1 3.000000+1 2.205000+1 4.000000+1 2.442000+1 5.000000+1 2.617000+1 6.000000+1 2.753000+1 8.000000+1 2.953000+1 1.000000+2 3.094000+1 1.500000+2 3.316000+1 2.000000+2 3.448000+1 3.000000+2 3.601000+1 4.000000+2 3.689000+1 5.000000+2 3.746000+1 6.000000+2 3.787000+1 8.000000+2 3.842000+1 1.000000+3 3.877000+1 1.500000+3 3.928000+1 2.000000+3 3.956000+1 3.000000+3 3.986000+1 4.000000+3 4.002000+1 5.000000+3 4.012000+1 6.000000+3 4.019000+1 8.000000+3 4.028000+1 1.000000+4 4.034000+1 1.500000+4 4.042000+1 2.000000+4 4.047000+1 3.000000+4 4.051000+1 4.000000+4 4.053000+1 5.000000+4 4.055000+1 6.000000+4 4.056000+1 8.000000+4 4.057000+1 1.000000+5 4.058000+1 1 82000 7 8 2.071900+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 8.208060-7 2.090400+0 1.114450-6 2.094700+0 1.445050-6 2.099900+0 1.922440-6 2.106600+0 2.674280-6 2.114000+0 3.700200-6 2.119500+0 4.606720-6 2.127900+0 6.247590-6 2.136250+0 8.208060-6 2.147000+0 1.125380-5 2.156900+0 1.461740-5 2.169000+0 1.950780-5 2.184500+0 2.711650-5 2.201800+0 3.751650-5 2.214800+0 4.674260-5 2.234200+0 6.287700-5 2.253680+0 8.208060-5 2.281500+0 1.149680-4 2.307000+0 1.510100-4 2.338200+0 2.030460-4 2.377400+0 2.811940-4 2.410200+0 3.576320-4 2.446800+0 4.549280-4 2.485900+0 5.727790-4 2.532900+0 7.330360-4 2.556430+0 8.208060-4 2.611900+0 1.046630-3 2.660400+0 1.265330-3 2.745300+0 1.693580-3 2.809000+0 2.051030-3 2.904500+0 2.642240-3 3.000000+0 3.298000-3 3.125000+0 4.252340-3 3.234400+0 5.173650-3 3.425800+0 6.965530-3 3.569300+0 8.444840-3 3.784700+0 1.085270-2 4.000000+0 1.344000-2 4.250000+0 1.660190-2 4.625000+0 2.156870-2 5.000000+0 2.673000-2 5.500000+0 3.381120-2 6.000000+0 4.098000-2 6.750000+0 5.162870-2 7.000000+0 5.513000-2 8.000000+0 6.882000-2 9.000000+0 8.188000-2 1.000000+1 9.427000-2 1.100000+1 1.060000-1 1.200000+1 1.170000-1 1.300000+1 1.273000-1 1.400000+1 1.372000-1 1.500000+1 1.464000-1 1.600000+1 1.552000-1 1.800000+1 1.715000-1 2.000000+1 1.863000-1 2.200000+1 1.997000-1 2.400000+1 2.121000-1 2.600000+1 2.234000-1 2.800000+1 2.339000-1 3.000000+1 2.437000-1 4.000000+1 2.837000-1 5.000000+1 3.138000-1 6.000000+1 3.374000-1 8.000000+1 3.727000-1 1.000000+2 3.981000-1 1.500000+2 4.396000-1 2.000000+2 4.652000-1 3.000000+2 4.963000-1 4.000000+2 5.147000-1 5.000000+2 5.272000-1 6.000000+2 5.363000-1 8.000000+2 5.488000-1 1.000000+3 5.570000-1 1.500000+3 5.693000-1 2.000000+3 5.762000-1 3.000000+3 5.836000-1 4.000000+3 5.881000-1 5.000000+3 5.908000-1 6.000000+3 5.926000-1 8.000000+3 5.951000-1 1.000000+4 5.967000-1 1.500000+4 5.988000-1 2.000000+4 6.001000-1 3.000000+4 6.013000-1 4.000000+4 6.020000-1 5.000000+4 6.025000-1 6.000000+4 6.028000-1 8.000000+4 6.031000-1 1.000000+5 6.033000-1 1 82000 7 8 2.071900+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 82000 7 9 2.071900+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 8.200000+1 1.000000+5 8.200000+1 5.000000+5 8.197500+1 7.500000+5 8.194980+1 1.000000+6 8.193200+1 1.500000+6 8.186800+1 2.000000+6 8.176700+1 2.500000+6 8.163800+1 3.000000+6 8.148200+1 3.500000+6 8.130000+1 4.000000+6 8.109600+1 4.500000+6 8.087240+1 5.000000+6 8.062600+1 5.687500+6 8.024610+1 6.437500+6 7.979690+1 6.500000+6 7.975500+1 7.000000+6 7.943500+1 7.500000+6 7.909360+1 8.250000+6 7.857480+1 9.000000+6 7.803400+1 1.000000+7 7.728200+1 1.109400+7 7.643000+1 1.250000+7 7.530200+1 1.375000+7 7.427350+1 1.500000+7 7.325900+1 1.687500+7 7.173500+1 1.750000+7 7.123600+1 2.000000+7 6.922300+1 2.375000+7 6.624480+1 2.500000+7 6.527000+1 2.875000+7 6.238820+1 3.000000+7 6.145400+1 3.437500+7 5.825480+1 3.812500+7 5.565930+1 4.000000+7 5.442300+1 4.500000+7 5.130270+1 5.000000+7 4.845900+1 5.750000+7 4.467290+1 6.000000+7 4.352900+1 6.750000+7 4.038080+1 7.000000+7 3.941500+1 7.750000+7 3.670490+1 8.000000+7 3.585600+1 8.750000+7 3.343100+1 9.000000+7 3.266200+1 9.750000+7 3.044630+1 1.000000+8 2.974100+1 1.062500+8 2.804130+1 1.156300+8 2.569620+1 1.187500+8 2.497160+1 1.250000+8 2.360400+1 1.437500+8 2.017540+1 1.500000+8 1.926000+1 1.625000+8 1.773200+1 1.750000+8 1.649800+1 1.812500+8 1.596250+1 2.000000+8 1.459200+1 2.250000+8 1.314440+1 2.500000+8 1.198300+1 2.671900+8 1.128310+1 2.789100+8 1.079860+1 2.875000+8 1.042220+1 2.894500+8 1.033380+1 3.000000+8 9.835100+0 3.125000+8 9.210240+0 3.359400+8 8.157000+0 3.453100+8 7.827670+0 3.500000+8 7.686700+0 4.000000+8 6.685300+0 4.125000+8 6.413590+0 4.234400+8 6.161240+0 4.425800+8 5.719000+0 4.750000+8 5.063350+0 4.784700+8 5.003180+0 4.928200+8 4.779700+0 5.000000+8 4.682500+0 5.125000+8 4.537590+0 5.343800+8 4.334500+0 5.918000+8 3.928180+0 6.000000+8 3.871400+0 6.250000+8 3.687580+0 7.000000+8 3.200900+0 7.625000+8 2.903470+0 7.875000+8 2.782810+0 8.000000+8 2.718400+0 8.250000+8 2.580450+0 8.468800+8 2.455950+0 8.851600+8 2.243220+0 9.569300+8 1.905380+0 9.856400+8 1.799570+0 1.000000+9 1.753400+0 1.031300+9 1.667670+0 1.060500+9 1.602400+0 1.100900+9 1.530480+0 1.137900+9 1.478470+0 1.183200+9 1.428090+0 1.204300+9 1.408350+0 1.375000+9 1.294130+0 1.500000+9 1.224600+0 1.589800+9 1.169770+0 1.665000+9 1.121640+0 1.748800+9 1.067340+0 1.838500+9 1.009860+0 1.946200+9 9.431000-1 2.000000+9 9.111000-1 2.139200+9 8.327660-1 2.272600+9 7.639410-1 2.443000+9 6.845310-1 2.602800+9 6.182130-1 2.750000+9 5.634890-1 2.822900+9 5.384030-1 3.024800+9 4.755220-1 3.271700+9 4.099890-1 3.487700+9 3.613790-1 3.759500+9 3.096960-1 3.986900+9 2.732530-1 4.348700+9 2.254870-1 4.674400+9 1.910330-1 5.000000+9 1.628800-1 5.375000+9 1.365620-1 5.703100+9 1.177960-1 6.277300+9 9.218710-2 7.031000+9 6.848190-2 8.000000+9 4.847000-2 1.00000+10 2.641500-2 3.16230+10 1.139520-3 4.87170+10 3.516230-4 7.43590+10 1.117810-4 1.00000+11 5.025700-5 1.34280+11 2.276670-5 2.20600+11 6.043070-6 4.19930+11 1.095770-6 1.03480+12 1.022680-7 3.24440+12 5.204240-9 1.00000+14 7.43470-13 3.16230+15 9.51509-17 1.00000+17 1.15860-20 1 82000 7 0 2.071900+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 7.20000-12 1.000000+2 7.20000-10 1.000000+3 7.200000-8 1.000000+4 7.200000-6 1.000000+5 7.200000-4 5.000000+5 1.800000-2 7.500000+5 4.050000-2 1.000000+6 7.200000-2 1.500000+6 1.598000-1 2.000000+6 2.813000-1 2.500000+6 4.339000-1 3.000000+6 6.152000-1 3.500000+6 8.224520-1 4.000000+6 1.052800+0 4.500000+6 1.303370+0 5.000000+6 1.571000+0 5.687500+6 1.961070+0 6.437500+6 2.408690+0 6.500000+6 2.446860+0 7.000000+6 2.755400+0 7.500000+6 3.068450+0 8.250000+6 3.543880+0 9.000000+6 4.022100+0 1.000000+7 4.658000+0 1.109400+7 5.345410+0 1.250000+7 6.211900+0 1.375000+7 6.962670+0 1.500000+7 7.694000+0 1.687500+7 8.753890+0 1.750000+7 9.099000+0 2.000000+7 1.043700+1 2.375000+7 1.234580+1 2.500000+7 1.296300+1 2.875000+7 1.477420+1 3.000000+7 1.536800+1 3.437500+7 1.740670+1 3.812500+7 1.911760+1 4.000000+7 1.996400+1 4.500000+7 2.217810+1 5.000000+7 2.433700+1 5.750000+7 2.742650+1 6.000000+7 2.840800+1 6.750000+7 3.116340+1 7.000000+7 3.202000+1 7.750000+7 3.438900+1 8.000000+7 3.512100+1 8.750000+7 3.715430+1 9.000000+7 3.779000+1 9.750000+7 3.958130+1 1.000000+8 4.015100+1 1.062500+8 4.151940+1 1.156300+8 4.345310+1 1.187500+8 4.407260+1 1.250000+8 4.527700+1 1.437500+8 4.865510+1 1.500000+8 4.971300+1 1.625000+8 5.172180+1 1.750000+8 5.360960+1 1.812500+8 5.450300+1 2.000000+8 5.699300+1 2.250000+8 5.988770+1 2.500000+8 6.233500+1 2.671900+8 6.378220+1 2.789100+8 6.466830+1 2.875000+8 6.528190+1 2.894500+8 6.541300+1 3.000000+8 6.610800+1 3.125000+8 6.686880+1 3.359400+8 6.814460+1 3.453100+8 6.860310+1 3.500000+8 6.882900+1 4.000000+8 7.088500+1 4.125000+8 7.131940+1 4.234400+8 7.169100+1 4.425800+8 7.229400+1 4.750000+8 7.321510+1 4.784700+8 7.330600+1 4.928200+8 7.367610+1 5.000000+8 7.385800+1 5.125000+8 7.415610+1 5.343800+8 7.465270+1 5.918000+8 7.580450+1 6.000000+8 7.595600+1 6.250000+8 7.637430+1 7.000000+8 7.746300+1 7.625000+8 7.816470+1 7.875000+8 7.840830+1 8.000000+8 7.852100+1 8.250000+8 7.872260+1 8.468800+8 7.889440+1 8.851600+8 7.915690+1 9.569300+8 7.956120+1 9.856400+8 7.969930+1 1.000000+9 7.976700+1 1.031300+9 7.989230+1 1.060500+9 8.000590+1 1.100900+9 8.015260+1 1.137900+9 8.026890+1 1.183200+9 8.039870+1 1.204300+9 8.045220+1 1.375000+9 8.082210+1 1.500000+9 8.103300+1 1.589800+9 8.115330+1 1.665000+9 8.124910+1 1.748800+9 8.135100+1 1.838500+9 8.143490+1 1.946200+9 8.153030+1 2.000000+9 8.157600+1 2.139200+9 8.166470+1 2.272600+9 8.173100+1 2.443000+9 8.180100+1 2.602800+9 8.185410+1 2.750000+9 8.188920+1 2.822900+9 8.190600+1 3.024800+9 8.193310+1 3.271700+9 8.196130+1 3.487700+9 8.197670+1 3.759500+9 8.198480+1 3.986900+9 8.199120+1 4.348700+9 8.199650+1 4.674400+9 8.199620+1 5.000000+9 8.199600+1 5.375000+9 8.199660+1 5.703100+9 8.199710+1 6.277300+9 8.199790+1 7.031000+9 8.199890+1 8.000000+9 8.200000+1 1.00000+10 8.200000+1 3.16230+10 8.200000+1 4.87170+10 8.200000+1 7.43590+10 8.200000+1 1.00000+11 8.200000+1 1.34280+11 8.200000+1 2.20600+11 8.200000+1 4.19930+11 8.200000+1 1.03480+12 8.200000+1 3.24440+12 8.200000+1 1.00000+14 8.200000+1 3.16230+15 8.200000+1 1.00000+17 8.200000+1 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.678389-6 0.0 1.682520-6 4.817415-7 1.686651-6 9.532336-7 1.690782-6 1.741159-6 1.694913-6 2.935833-6 1.699044-6 4.569600-6 1.703175-6 6.565668-6 1.707307-6 8.708302-6 1.711438-6 1.066208-5 1.715569-6 1.205048-5 1.719700-6 1.257247-5 1.723831-6 1.210852-5 1.727962-6 1.076503-5 1.732093-6 8.834730-6 1.740356-6 4.680708-6 1.744487-6 3.021702-6 1.748618-6 1.800718-6 1.752749-6 9.905899-7 1.756880-6 5.030325-7 1.761011-6 0.0 2.397381-6 0.0 2.406233-6 8.382877-1 2.409183-6 1.114172+0 2.415084-6 2.035127+0 2.420985-6 3.431504+0 2.427623-6 5.632126+0 2.437961-6 9.869760+0 2.444957-6 1.256341+1 2.451031-6 1.414091+1 2.457269-6 1.461452+1 2.463246-6 1.389920+1 2.469252-6 1.217793+1 2.478541-6 8.440243+0 2.485894-6 5.470974+0 2.491795-6 3.531870+0 2.497696-6 2.104742+0 2.503597-6 1.157836+0 2.512448-6 2.943266-1 2.515399-6 0.0 3.234897-6 0.0 3.242859-6 4.877846-7 3.250822-6 9.651911-7 3.258784-6 1.763001-6 3.266746-6 2.972661-6 3.274709-6 4.626922-6 3.282671-6 6.648029-6 3.290633-6 8.817541-6 3.298595-6 1.079583-5 3.306558-6 1.220164-5 3.314520-6 1.273018-5 3.322482-6 1.226041-5 3.330445-6 1.090007-5 3.338407-6 8.945555-6 3.354331-6 4.739424-6 3.362294-6 3.059607-6 3.370256-6 1.823307-6 3.378218-6 1.003016-6 3.386181-6 5.093427-7 3.392781-6 8.728851-8 3.394143-6 5.416452-8 3.409483-6 6.585482-7 3.417834-6 1.202892-6 3.426185-6 2.028241-6 3.434536-6 3.156941-6 3.442886-6 4.535939-6 3.451237-6 6.016193-6 3.459588-6 7.365975-6 3.467939-6 8.325161-6 3.476290-6 8.685782-6 3.484641-6 8.365255-6 3.492992-6 7.437096-6 3.501343-6 6.103537-6 3.518044-6 3.233700-6 3.526395-6 2.087564-6 3.534746-6 1.244039-6 3.543097-6 6.843561-7 3.551448-6 3.475236-7 3.559799-6 0.0 3.667831-6 0.0 3.674165-6 9.177457-2 3.685887-6 1.731903+0 3.692252-6 2.670255+0 3.701296-6 4.831185+0 3.710339-6 8.073764+0 3.719383-6 1.246247+1 3.740054-6 2.486892+1 3.749891-6 2.979807+1 3.756387-6 3.206002+1 3.765331-6 3.302587+1 3.775107-6 3.114782+1 3.783746-6 2.746003+1 3.809817-6 1.204343+1 3.818861-6 7.744614+0 3.827904-6 4.598516+0 3.836948-6 2.521135+0 3.848389-6 8.771409-1 3.855035-6 0.0 3.874221-6 0.0 3.888525-6 9.785453-2 3.893293-6 1.300590-1 3.902829-6 2.375633-1 3.912365-6 4.005644-1 3.921900-6 6.234752-1 3.939184-6 1.133238+0 3.950508-6 1.454732+0 3.961236-6 1.653050+0 3.969580-6 1.715385+0 3.980308-6 1.629219+0 3.988652-6 1.468778+0 4.004148-6 1.022943+0 4.017260-6 6.386346-1 4.026795-6 4.122803-1 4.036331-6 2.456896-1 4.045867-6 1.351558-1 4.059575-6 3.864613-2 4.064939-6 0.0 4.075770-6 0.0 4.093453-6 3.044475-1 4.095834-6 3.450203-1 4.106180-6 6.436887-1 4.116525-6 1.099492+0 4.126557-6 1.699007+0 4.144374-6 3.026448+0 4.156340-6 3.874779+0 4.167469-6 4.388168+0 4.177501-6 4.526998+0 4.187043-6 4.338105+0 4.197957-6 3.771079+0 4.213749-6 2.613648+0 4.226250-6 1.694169+0 4.236282-6 1.093697+0 4.246314-6 6.517650-1 4.256346-6 3.585413-1 4.270767-6 1.025204-1 4.276410-6 0.0 4.320155-6 0.0 4.323746-6 1.458349-2 4.345031-6 8.591136-1 4.355674-6 1.561891+0 4.366981-6 2.712035+0 4.377842-6 4.212101+0 4.406348-6 8.959130+0 4.420021-6 1.060567+1 4.431248-6 1.099281+1 4.441789-6 1.052301+1 4.452936-6 9.243568+0 4.483382-6 4.396150+0 4.494024-6 3.052474+0 4.504666-6 2.077434+0 4.515309-6 1.429666+0 4.528612-6 8.988659-1 4.536594-6 5.557792-1 4.544600-6 5.089427-1 4.560898-6 3.671180-1 4.577195-6 2.212918-1 4.588060-6 1.428583-1 4.598925-6 8.513331-2 4.609790-6 4.683253-2 4.622747-6 1.921258-2 4.624787-6 1.827698-2 4.631520-6 1.175057-1 4.647553-6 3.873974-1 4.659292-6 7.208488-1 4.671032-6 1.228840+0 4.682350-6 1.899977+0 4.716209-6 4.356131+0 4.728349-6 4.945000+0 4.739906-6 5.148741+0 4.751501-6 4.948531+0 4.765774-6 4.232699+0 4.793422-6 2.333607+0 4.806920-6 1.618963+0 4.818303-6 1.233270+0 4.825213-6 1.126342+0 4.830601-6 1.086379+0 4.837739-6 1.115218+0 4.849707-6 1.249390+0 4.853193-6 1.325222+0 4.884161-6 2.460036+0 4.897200-6 2.815801+0 4.908822-6 2.959925+0 4.921648-6 2.918463+0 4.943792-6 2.559572+0 4.956372-6 2.338510+0 4.966688-6 2.230059+0 4.982530-6 2.191578+0 5.015989-6 2.329469+0 5.065640-6 2.337014+0 5.179244-6 2.227664+0 5.217114-6 2.113993+0 5.253627-6 2.030875+0 5.346699-6 2.147077+0 5.372651-6 2.912310+0 5.387103-6 3.630061+0 5.400220-6 4.602356+0 5.413340-6 5.918813+0 5.453865-6 1.073924+1 5.467394-6 1.171656+1 5.479940-6 1.197911+1 5.493671-6 1.145210+1 5.505936-6 1.039218+1 5.543605-6 5.807612+0 5.558409-6 4.390274+0 5.569923-6 3.571013+0 5.583082-6 2.962430+0 5.609400-6 2.303989+0 5.672196-6 2.820466+0 5.689280-6 2.869362+0 5.716614-6 2.745266+0 5.771282-6 2.238419+0 5.805450-6 2.083481+0 5.831344-6 2.027611+0 5.999239-6 1.978644+0 6.030322-6 2.299977+0 6.045490-6 2.573361+0 6.060255-6 2.970211+0 6.077161-6 3.597362+0 6.118016-6 5.355443+0 6.134685-6 5.803709+0 6.150127-6 5.916045+0 6.165453-6 5.712678+0 6.180544-6 5.252157+0 6.220013-6 3.645279+0 6.238469-6 3.042681+0 6.249543-6 2.751046+0 6.266623-6 2.439636+0 6.294749-6 2.061162+0 6.308918-6 2.048347+0 6.332547-6 2.086979+0 6.352389-6 2.223051+0 6.368955-6 2.428422+0 6.391703-6 2.840655+0 6.430972-6 3.624317+0 6.444569-6 3.795246+0 6.462640-6 3.855423+0 6.482627-6 3.725282+0 6.535716-6 2.949834+0 6.549287-6 2.837933+0 6.569078-6 2.822730+0 6.644000-6 3.159575+0 6.752683-6 3.041564+0 6.989034-6 2.957069+0 7.890544-6 2.677348+0 7.929387-6 5.387568+0 7.948809-6 7.631535+0 7.968231-6 1.103695+1 7.990080-6 1.640637+1 8.045917-6 3.307527+1 8.067397-6 3.719108+1 8.087883-6 3.830529+1 8.107325-6 3.656765+1 8.127093-6 3.235676+1 8.181868-6 1.595531+1 8.201289-6 1.121200+1 8.220711-6 7.719486+0 8.240133-6 5.400226+0 8.278976-6 2.559638+0 9.568933-6 2.197364+0 9.616038-6 8.237100+0 9.639591-6 1.323347+1 9.663144-6 2.081238+1 9.689641-6 3.275921+1 9.757355-6 6.984288+1 9.784720-6 7.918654+1 9.806162-6 8.174759+1 9.830175-6 7.822698+1 9.855798-6 6.827414+1 9.895773-6 4.628548+1 9.922224-6 3.182556+1 9.945776-6 2.128653+1 9.969329-6 1.352841+1 9.992882-6 8.378805+0 1.003999-5 2.077742+0 1.208418-5 1.632412+0 1.284192-5 1.509725+0 1.294584-5 1.569558+0 1.296376-5 1.600795+0 1.302557-5 2.028501+0 1.306321-5 2.443826+0 1.309511-5 2.935430+0 1.313416-5 3.726788+0 1.321699-5 5.559777+0 1.325089-5 6.020938+0 1.328279-5 6.137106+0 1.331669-5 5.869937+0 1.334845-5 5.316524+0 1.344032-5 3.117408+0 1.347222-5 2.502978+0 1.350413-5 2.049471+0 1.353650-5 1.744175+0 1.359984-5 1.373061+0 1.379164-5 1.348380+0 1.385953-5 1.448353+0 1.389506-5 1.540773+0 1.393983-5 1.733120+0 1.400299-5 2.116098+0 1.406856-5 2.521003+0 1.410277-5 2.647153+0 1.414181-5 2.664421+0 1.417974-5 2.572929+0 1.430299-5 1.950888+0 1.433625-5 1.857995+0 1.438870-5 1.842491+0 1.454065-5 1.993427+0 1.486426-5 1.874031+0 1.510614-5 1.848336+0 1.544328-5 1.698713+0 1.718449-5 1.340294+0 1.906034-5 1.066649+0 2.019190-5 9.398829-1 2.029130-5 3.165066+0 2.034100-5 5.007640+0 2.039070-5 7.804052+0 2.044661-5 1.221346+1 2.058950-5 2.590225+1 2.064447-5 2.928215+1 2.069243-5 3.029509+1 2.074387-5 2.894636+1 2.079723-5 2.531257+1 2.088158-5 1.718746+1 2.093740-5 1.184440+1 2.098710-5 7.949820+0 2.103680-5 5.082431+0 2.108650-5 3.178458+0 2.118590-5 8.470058-1 2.128392-5 8.386070-1 2.138931-5 2.562102+0 2.144352-5 4.058818+0 2.149511-5 6.197113+0 2.154914-5 9.265824+0 2.170425-5 2.005448+1 2.176424-5 2.264875+1 2.181261-5 2.335011+1 2.186346-5 2.243660+1 2.192199-5 1.954125+1 2.200876-5 1.346167+1 2.206974-5 9.200884+0 2.212213-5 6.210574+0 2.217451-5 4.008761+0 2.222690-5 2.546590+0 2.233168-5 7.558410-1 2.296231-5 7.122449-1 2.307535-5 9.255698-1 2.313187-5 1.104439+0 2.318839-5 1.377524+0 2.324491-5 1.752350+0 2.339724-5 3.001382+0 2.342678-5 3.222060+0 2.347890-5 3.487389+0 2.354113-5 3.558024+0 2.364986-5 3.257827+0 2.375884-5 2.712107+0 2.381690-5 2.612301+0 2.388220-5 2.781587+0 2.394901-5 3.212943+0 2.406106-5 4.123189+0 2.414196-5 4.494646+0 2.416520-5 4.558570+0 2.423181-5 4.344584+0 2.430378-5 3.748139+0 2.445545-5 2.117409+0 2.451568-5 1.633608+0 2.457240-5 1.330453+0 2.463273-5 1.183467+0 2.465494-5 1.172179+0 2.471503-5 1.186498+0 2.474722-5 1.217805+0 2.489531-5 1.812470+0 2.495541-5 2.006104+0 2.501690-5 2.141324+0 2.508111-5 2.189903+0 2.528829-5 2.054705+0 2.543657-5 1.975127+0 2.583352-5 1.861357+0 2.600903-5 1.814897+0 2.620595-5 1.891082+0 2.636475-5 2.152047+0 2.647640-5 2.500072+0 2.658165-5 2.991009+0 2.674528-5 3.818539+0 2.682588-5 4.060767+0 2.692260-5 4.058011+0 2.700455-5 3.806825+0 2.722889-5 2.814255+0 2.732830-5 2.557080+0 2.739507-5 2.491039+0 2.748879-5 2.498026+0 2.773379-5 2.963379+0 2.788600-5 3.121117+0 2.842569-5 3.201592+0 2.914521-5 3.522207+0 3.013078-5 4.158516+0 3.120868-5 5.131845+0 3.219357-5 6.319775+0 3.330660-5 8.041261+0 3.429824-5 9.940068+0 3.610000-5 1.422863+1 4.067500-5 2.692452+1 4.280000-5 3.113413+1 4.485000-5 3.318978+1 4.700509-5 3.344727+1 5.035915-5 3.156162+1 6.192737-5 2.127525+1 6.958250-5 1.580414+1 7.579951-5 1.235047+1 8.181650-5 9.753204+0 8.323625-5 9.359929+0 8.383599-5 9.586324+0 8.468263-5 1.021066+1 8.509594-5 1.013704+1 8.614914-5 9.439241+0 1.020533-4 6.052934+0 1.061491-4 5.381954+0 1.069876-4 5.383974+0 1.087030-4 5.517707+0 1.115031-4 5.431695+0 1.174898-4 4.919474+0 1.288481-4 3.780056+0 1.364657-4 3.187762+0 1.426098-4 2.809765+0 1.437120-4 2.845702+0 1.444336-4 2.965008+0 1.458363-4 3.293653+0 1.465194-4 3.297154+0 1.482968-4 2.923080+0 1.496519-4 2.869515+0 1.521847-4 3.078852+0 1.562566-4 3.163250+0 1.630000-4 3.072456+0 1.740549-4 2.875817+0 1.820000-4 2.888279+0 1.905625-4 3.094498+0 1.980000-4 3.449698+0 2.053628-4 3.975078+0 2.125797-4 4.670395+0 2.232287-4 6.027956+0 2.371374-4 8.273871+0 2.985383-4 1.981325+1 3.247089-4 2.361415+1 3.650903-4 2.758744+1 4.011760-4 2.965030+1 4.081946-4 3.075459+1 4.216965-4 3.102879+1 4.296867-4 3.219371+1 4.905563-4 3.320142+1 6.105359-4 3.193343+1 6.299387-4 3.216550+1 6.421998-4 3.303898+1 8.634483-4 2.840992+1 8.986012-4 2.787264+1 1.192744-3 2.182775+1 1.417736-3 1.836809+1 1.695003-3 1.515298+1 2.046616-3 1.220887+1 2.420127-3 9.981595+0 2.444923-3 1.010474+1 2.456285-3 1.066240+1 2.465497-3 1.168112+1 2.475325-3 1.349017+1 2.501945-3 2.021546+1 2.514908-3 2.244167+1 2.528434-3 2.351712+1 2.566606-3 2.457387+1 2.586269-3 2.664992+1 2.613219-3 3.036918+1 2.633064-3 3.164454+1 2.790210-3 3.121364+1 3.014451-3 2.877276+1 3.057300-3 3.033807+1 3.091675-3 3.150492+1 3.518822-3 2.669700+1 3.615392-3 2.699061+1 3.772930-3 2.555540+1 3.893830-3 2.538517+1 4.480114-3 2.084596+1 5.225465-3 1.669447+1 6.036173-3 1.346539+1 6.768740-3 1.133421+1 7.700962-3 9.296359+0 8.760867-3 7.611522+0 1.000000-2 6.183000+0 1.138738-2 5.029278+0 1.272659-2 4.219544+0 1.282674-2 4.309142+0 1.288299-2 4.587218+0 1.292980-2 5.061608+0 1.297641-2 5.789902+0 1.311475-2 8.519020+0 1.318930-2 9.410859+0 1.328169-2 9.758606+0 1.497665-2 8.102006+0 1.510837-2 8.343764+0 1.526251-2 9.437074+0 1.538201-2 1.025845+1 1.555742-2 1.055382+1 1.577569-2 1.084033+1 1.597487-2 1.145526+1 1.633533-2 1.129548+1 1.896058-2 8.962331+0 2.162719-2 7.274935+0 2.432842-2 6.015136+0 2.730805-2 4.975490+0 3.082956-2 4.073413+0 3.475810-2 3.330623+0 3.894620-2 2.750441+0 4.390524-2 2.241382+0 4.967833-2 1.814491+0 5.607499-2 1.472010+0 6.318660-2 1.196264+0 7.148735-2 9.645188-1 8.166965-2 7.637621-1 8.626533-2 7.008451-1 8.670177-2 7.266342-1 8.698456-2 7.803016-1 8.726689-2 8.884353-1 8.745630-2 1.002550+0 8.773809-2 1.242248+0 8.804152-2 1.583869+0 8.871197-2 2.407066+0 8.907818-2 2.732634+0 8.955599-2 2.955719+0 9.040761-2 3.020767+0 1.053764-1 2.379770+0 1.195724-1 1.941394+0 1.357239-1 1.579986+0 1.535708-1 1.289298+0 1.702100-1 1.087968+0 1.910608-1 8.996215-1 2.143453-1 7.445399-1 2.403276-1 6.175364-1 2.713993-1 5.079573-1 3.046141-1 4.229586-1 3.417827-1 3.535560-1 3.890452-1 2.908945-1 4.450795-1 2.393143-1 5.074469-1 1.992759-1 5.775140-1 1.678598-1 6.536007-1 1.435885-1 7.391797-1 1.238288-1 8.505519-1 1.055815-1 9.864214-1 9.038040-2 1.186142+0 7.379147-2 1.410753+0 6.064319-2 1.619761+0 5.188517-2 1.859734+0 4.439197-2 2.135261+0 3.798093-2 2.451607+0 3.249577-2 2.814822+0 2.780276-2 3.231848+0 2.378752-2 3.722622+0 2.028161-2 4.260405+0 1.741292-2 4.891600+0 1.489816-2 5.616308+0 1.274659-2 6.448384+0 1.090574-2 7.403736+0 9.330744-3 8.500626+0 7.983208-3 9.760024+0 6.830282-3 1.000000+1 1.417279-2 1 82000 7 0 2.071900+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-8.190419+1 2.299460-6-8.015333+1 2.392062-6-7.733599+1 2.429882-6-7.272648+1 2.444588-6-7.567460+1 2.458231-6-8.179154+1 2.474830-6-7.483755+1 2.491057-6-7.425354+1 2.536884-6-7.957641+1 2.716742-6-8.213278+1 3.492992-6-7.888662+1 3.630378-6-7.512042+1 3.672582-6-7.061371+1 3.713448-6-6.208446+1 3.727883-6-6.188888+1 3.740054-6-6.527837+1 3.754494-6-7.372081+1 3.765331-6-8.250129+1 3.785055-6-6.879043+1 3.799369-6-6.421507+1 3.809817-6-6.370884+1 3.855035-6-7.273398+1 3.895677-6-7.778551+1 3.961236-6-8.010156+1 4.048251-6-8.119623+1 4.095834-6-8.220434+1 4.154836-6-8.151417+1 4.178040-6-8.213949+1 4.226250-6-8.028666+1 4.286760-6-8.267068+1 4.387949-6-7.737758+1 4.420021-6-8.131943+1 4.430212-6-8.232548+1 4.465375-6-7.665480+1 4.505997-6-7.735592+1 4.647553-6-8.269778+1 4.712050-6-8.185552+1 4.738885-6-8.255062+1 4.792221-6-8.027700+1 4.890056-6-8.311538+1 5.021861-6-8.260658+1 5.326206-6-8.483273+1 5.426440-6-8.018580+1 5.467719-6-8.385861+1 5.519972-6-7.699318+1 5.568484-6-7.732920+1 5.668779-6-8.057186+1 6.028534-6-8.230362+1 6.118016-6-8.208893+1 6.150127-6-8.204573+1 6.232932-6-8.018918+1 6.430972-6-8.279463+1 6.571150-6-8.218702+1 7.214307-6-8.227543+1 7.739711-6-7.686350+1 7.870927-6-7.196192+1 7.974907-6-6.106665+1 8.007074-6-6.061464+1 8.034992-6-6.452698+1 8.067397-6-7.477838+1 8.085975-6-8.149426+1 8.124817-6-6.727534+1 8.153003-6-6.148440+1 8.181868-6-6.030303+1 8.220711-6-6.347058+1 8.310141-6-7.251563+1 8.454365-6-7.716908+1 8.857902-6-8.126473+1 9.305400-6-7.485994+1 9.469728-6-6.861594+1 9.539715-6-6.278734+1 9.568933-6-5.791950+1 9.639591-6-4.410549+1 9.671240-6-3.834585+1 9.694793-6-3.659458+1 9.713193-6-3.780683+1 9.730904-6-4.159572+1 9.749902-6-4.877244+1 9.779161-6-6.583336+1 9.800696-6-8.126989+1 9.835188-6-5.564782+1 9.855798-6-4.352903+1 9.875118-6-3.552746+1 9.887079-6-3.209458+1 9.898671-6-3.014731+1 9.915599-6-2.905483+1 9.942832-6-3.128594+1 9.969329-6-3.625336+1 1.000098-5-4.288472+1 1.003999-5-5.009059+1 1.006433-5-5.442642+1 1.012500-5-5.997987+1 1.024875-5-6.553366+1 1.049940-5-7.028253+1 1.119802-5-7.451490+1 1.296762-5-7.900464+1 1.319905-5-7.951735+1 1.341467-5-7.478991+1 1.406856-5-7.812524+1 1.474550-5-7.792302+1 1.901477-5-8.230154+1 1.982542-5-8.011302+1 2.016231-5-7.571027+1 2.044661-5-6.652140+1 2.053369-5-6.819572+1 2.062173-5-7.538387+1 2.068924-5-8.281560+1 2.079723-5-7.051947+1 2.088158-5-6.609144+1 2.097467-5-6.675415+1 2.138201-5-8.345604+1 2.156065-5-7.832767+1 2.166865-5-8.029467+1 2.173177-5-8.347854+1 2.192199-5-6.757996+1 2.201735-5-6.413087+1 2.213522-5-6.532073+1 2.244465-5-7.309992+1 2.336770-5-7.988283+1 2.381690-5-7.921199+1 2.411872-5-7.926437+1 2.443866-5-7.746315+1 2.501690-5-8.029766+1 2.677752-5-8.284943+1 2.729337-5-8.199589+1 3.574120-5-9.192636+1 3.920226-5-9.080180+1 4.370000-5-8.108653+1 4.884375-5-6.855614+1 5.384768-5-6.115062+1 6.031509-5-5.648788+1 6.958250-5-5.423981+1 8.447937-5-5.540667+1 8.861352-5-5.657113+1 1.020533-4-5.675586+1 1.137195-4-5.831252+1 1.465194-4-6.130512+1 2.031345-4-6.760714+1 2.510156-4-7.259206+1 2.922697-4-7.205539+1 4.457590-4-5.726812+1 5.157989-4-5.004699+1 5.919187-4-4.471062+1 6.380445-4-4.331432+1 6.631979-4-4.075063+1 7.386830-4-3.671083+1 8.556483-4-3.240021+1 1.012626-3-2.830638+1 1.192744-3-2.575631+1 1.417736-3-2.432973+1 1.695003-3-2.420487+1 1.972339-3-2.559569+1 2.175528-3-2.802683+1 2.303703-3-3.090313+1 2.386002-3-3.423966+1 2.432367-3-3.779900+1 2.483692-3-4.558382+1 2.501945-3-4.530436+1 2.535198-3-4.145655+1 2.560595-3-4.075508+1 2.592686-3-4.110951+1 2.619521-3-3.849861+1 2.656918-3-3.419361+1 2.715749-3-3.045034+1 2.819862-3-2.621741+1 2.932416-3-2.343421+1 2.999840-3-2.302076+1 3.048086-3-2.370606+1 3.079504-3-2.260538+1 3.122628-3-2.032772+1 3.196453-3-1.809333+1 3.322443-3-1.582726+1 3.447570-3-1.452916+1 3.552605-3-1.435002+1 3.638499-3-1.281102+1 3.743204-3-1.181711+1 3.836379-3-1.141381+1 3.922688-3-1.018417+1 4.078202-3-8.835460+0 4.300000-3-7.538575+0 4.612505-3-6.301200+0 4.931944-3-5.466607+0 5.225465-3-4.920703+0 5.682393-3-4.398800+0 6.248298-3-4.087535+0 6.768740-3-3.977985+0 7.700962-3-4.078359+0 8.760867-3-4.443392+0 1.000000-2-5.132865+0 1.108662-2-6.029917+0 1.186144-2-7.036222+0 1.232041-2-8.004520+0 1.260722-2-9.021155+0 1.276990-2-1.006426+1 1.299696-2-1.260725+1 1.307052-2-1.264056+1 1.316846-2-1.162527+1 1.330646-2-9.969812+0 1.343668-2-9.057523+0 1.366548-2-8.173380+0 1.402064-2-7.473202+0 1.441869-2-7.190390+0 1.477087-2-7.354761+0 1.497665-2-7.841258+0 1.518627-2-8.813431+0 1.530009-2-8.813913+0 1.555742-2-7.633887+0 1.586983-2-7.170607+0 1.617977-2-5.799046+0 1.644603-2-5.033073+0 1.684563-2-4.267463+0 1.746180-2-3.448329+0 1.802941-2-2.896022+0 1.883594-2-2.321794+0 1.979302-2-1.843945+0 2.077304-2-1.488220+0 2.162719-2-1.260631+0 2.267071-2-1.055020+0 2.366792-2-9.138106-1 2.503662-2-7.784917-1 2.620688-2-7.041171-1 2.795000-2-6.460898-1 2.993291-2-6.233429-1 3.230382-2-6.352721-1 3.623929-2-7.102908-1 4.572799-2-9.756630-1 6.604664-2-1.609142+0 7.388436-2-1.929132+0 7.915467-2-2.244046+0 8.266920-2-2.581730+0 8.471251-2-2.908778+0 8.601309-2-3.264718+0 8.688908-2-3.714071+0 8.791529-2-4.425764+0 8.835421-2-4.495358+0 8.883985-2-4.285093+0 8.994008-2-3.439408+0 9.074126-2-3.034129+0 9.194561-2-2.666214+0 9.388108-2-2.291514+0 9.628659-2-1.989278+0 1.000588-1-1.671019+0 1.039636-1-1.446162+0 1.097218-1-1.226818+0 1.164008-1-1.060993+0 1.249150-1-9.261958-1 1.357239-1-8.243675-1 1.481300-1-7.624210-1 1.702100-1-7.224020-1 2.062943-1-7.277933-1 3.732770-1-8.554977-1 5.775140-1-9.273367-1 9.864214-1-9.696586-1 3.086391+0-9.904344-1 9.320751+0-9.949137-1 1.000000+1-9.933322-1 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.063353-3 1.110907-6 3.219974-3 1.145260-6 3.667797-3 1.276440-6 5.918795-3 1.331806-6 7.154683-3 1.386707-6 8.610196-3 1.486429-6 1.193399-2 1.574075-6 1.570449-2 1.688382-6 2.225361-2 1.753612-6 2.696745-2 1.810687-6 3.182832-2 1.860629-6 3.674622-2 1.904328-6 4.162314-2 1.942564-6 4.641452-2 2.097302-6 7.130273-2 2.153760-6 8.305401-2 2.231979-6 1.025670-1 2.291821-6 1.209327-1 2.319022-6 1.305928-1 2.380838-6 1.556322-1 2.446236-6 1.876454-1 2.494351-6 2.157107-1 2.544057-6 2.500961-1 2.591809-6 2.893483-1 2.636576-6 3.329950-1 2.678546-6 3.813559-1 2.717892-6 4.347352-1 2.754779-6 4.935163-1 2.789361-6 5.582345-1 2.824078-6 6.346413-1 2.852175-6 7.068398-1 2.880669-6 7.920286-1 2.913020-6 9.062575-1 2.932427-6 9.857228-1 2.958536-6 1.108934+0 2.977917-6 1.214994+0 2.998552-6 1.344751+0 3.017898-6 1.485536+0 3.036035-6 1.638040+0 3.053038-6 1.803016+0 3.068979-6 1.981257+0 3.083923-6 2.173568+0 3.099280-6 2.402293+0 3.111067-6 2.603853+0 3.123381-6 2.843707+0 3.134925-6 3.101346+0 3.146104-6 3.387526+0 3.155894-6 3.674049+0 3.165406-6 3.991239+0 3.174323-6 4.330504+0 3.182683-6 4.693088+0 3.192196-6 5.169945+0 3.197869-6 5.493808+0 3.204757-6 5.935181+0 3.211215-6 6.406480+0 3.217270-6 6.910056+0 3.222946-6 7.448629+0 3.228267-6 8.025226+0 3.238244-6 9.352664+0 3.246975-6 1.088223+1 3.254613-6 1.262860+1 3.261297-6 1.458788+1 3.267146-6 1.673560+1 3.272263-6 1.903040+1 3.276741-6 2.142077+1 3.280659-6 2.385227+1 3.287087-6 2.863962+1 3.297751-6 3.920357+1 3.308595-6 5.395170+1 3.313723-6 6.247347+1 3.316228-6 6.700043+1 3.320299-6 7.485605+1 3.324371-6 8.329541+1 3.332513-6 1.016749+2 3.333531-6 1.040864+2 3.340655-6 1.214029+2 3.343454-6 1.283067+2 3.348798-6 1.413761+2 3.352933-6 1.511729+2 3.356940-6 1.601953+2 3.361075-6 1.688151+2 3.365083-6 1.763129+2 3.368645-6 1.821270+2 3.372796-6 1.877388+2 3.377551-6 1.924479+2 3.381622-6 1.948966+2 3.383039-6 1.953914+2 3.387084-6 1.957660+2 3.390096-6 1.950422+2 3.398030-6 1.891394+2 3.400570-6 1.860908+2 3.406304-6 1.773603+2 3.409554-6 1.713995+2 3.412294-6 1.658880+2 3.414955-6 1.601636+2 3.418072-6 1.530698+2 3.422080-6 1.434674+2 3.425642-6 1.346171+2 3.429077-6 1.259271+2 3.430222-6 1.230158+2 3.434293-6 1.126830+2 3.438365-6 1.024993+2 3.442945-6 9.139463+1 3.446507-6 8.311769+1 3.454649-6 6.571670+1 3.457448-6 6.028870+1 3.460120-6 5.538985+1 3.462792-6 5.077179+1 3.466863-6 4.427728+1 3.471627-6 3.749919+1 3.476456-6 3.149701+1 3.480573-6 2.703266+1 3.486026-6 2.196775+1 3.494126-6 1.601440+1 3.515287-6 6.919872+0 3.520479-6 5.652699+0 3.525631-6 4.639928+0 3.530743-6 3.828563+0 3.535815-6 3.175938+0 3.540847-6 2.648156+0 3.545840-6 2.218574+0 3.555709-6 1.575631+0 3.574988-6 8.160198-1 3.579714-6 6.931067-1 3.584403-6 5.882395-1 3.589056-6 4.985764-1 3.593672-6 4.218292-1 3.598252-6 3.561362-1 3.602796-6 2.999670-1 3.607305-6 2.520518-1 3.611779-6 2.113274-1 3.616217-6 1.768961-1 3.625025-6 1.237947-1 3.633696-6 8.812555-2 3.642231-6 6.613279-2 3.650632-6 5.487513-2 3.658902-6 5.194332-2 3.667043-6 5.525931-2 3.675057-6 6.294378-2 3.686798-6 7.880580-2 3.694473-6 9.001658-2 3.702028-6 1.001652-1 3.713142-6 1.112124-1 3.721290-6 1.151411-1 3.732823-6 1.138505-1 3.739782-6 1.093948-1 3.746659-6 1.027324-1 3.760093-6 8.531366-2 3.770859-6 6.953062-2 3.785823-6 4.860701-2 3.798139-6 3.427904-2 3.810070-6 2.375360-2 3.821628-6 1.691516-2 3.844022-6 1.286302-2 3.865016-6 1.942843-2 3.904380-6 5.660481-2 3.982100-6 2.063385-1 4.024931-6 3.342896-1 4.063680-6 4.859650-1 4.096000-6 6.416785-1 4.136334-6 8.788375-1 4.158130-6 1.030607+0 4.190215-6 1.291388+0 4.231368-6 1.706745+0 4.313675-6 2.935815+0 4.354829-6 3.856727+0 4.385694-6 4.755507+0 4.407833-6 5.549333+0 4.429164-6 6.467092+0 4.450496-6 7.576703+0 4.461161-6 8.220529+0 4.471827-6 8.935438+0 4.482492-6 9.732455+0 4.493158-6 1.062495+1 4.503823-6 1.162933+1 4.514489-6 1.276590+1 4.525154-6 1.406028+1 4.535820-6 1.554530+1 4.546486-6 1.726401+1 4.555128-6 1.886737+1 4.563231-6 2.058050+1 4.570827-6 2.241114+1 4.577949-6 2.436767+1 4.591301-6 2.885181+1 4.602985-6 3.397523+1 4.613208-6 3.976637+1 4.622153-6 4.619882+1 4.631358-6 5.457401+1 4.636829-6 6.060305+1 4.642822-6 6.828551+1 4.648065-6 7.607047+1 4.656668-6 9.134817+1 4.668963-6 1.196559+2 4.684770-6 1.697731+2 4.695167-6 2.124642+2 4.698333-6 2.270904+2 4.707832-6 2.755036+2 4.713577-6 3.079511+2 4.715492-6 3.192609+2 4.727042-6 3.919869+2 4.728486-6 4.015338+2 4.738592-6 4.701064+2 4.742562-6 4.974487+2 4.750141-6 5.492033+2 4.753396-6 5.709189+2 4.758932-6 6.066300+2 4.763171-6 6.325560+2 4.766633-6 6.525770+2 4.771176-6 6.769839+2 4.777018-6 7.047054+2 4.782847-6 7.276145+2 4.785512-6 7.363355+2 4.792280-6 7.531179+2 4.797401-6 7.604097+2 4.804448-6 7.624940+2 4.808909-6 7.589989+2 4.819975-6 7.346381+2 4.823578-6 7.221503+2 4.831465-6 6.878350+2 4.836947-6 6.590068+2 4.840997-6 6.354977+2 4.846204-6 6.029790+2 4.850759-6 5.728386+2 4.855874-6 5.376210+2 4.860146-6 5.074765+2 4.865639-6 4.682699+2 4.872135-6 4.220243+2 4.877188-6 3.867070+2 4.883685-6 3.427925+2 4.888738-6 3.101899+2 4.900288-6 2.421103+2 4.903001-6 2.275720+2 4.915390-6 1.687738+2 4.922764-6 1.397026+2 4.930390-6 1.141117+2 4.942378-6 8.228999+1 4.954366-6 5.928595+1 4.959611-6 5.152740+1 4.966354-6 4.326975+1 4.972348-6 3.731901+1 4.976844-6 3.358455+1 4.978342-6 3.246243+1 4.987333-6 2.682503+1 4.990330-6 2.530260+1 5.002318-6 2.053050+1 5.005315-6 1.959379+1 5.014306-6 1.720820+1 5.021798-6 1.557248+1 5.038282-6 1.259897+1 5.047273-6 1.117021+1 5.050270-6 1.071204+1 5.059261-6 9.382116+0 5.062258-6 8.953112+0 5.074246-6 7.314173+0 5.086234-6 5.820854+0 5.089231-6 5.474205+0 5.098222-6 4.505786+0 5.104216-6 3.923304+0 5.110210-6 3.393531+0 5.115692-6 2.955871+0 5.119280-6 2.693625+0 5.126343-6 2.232509+0 5.139816-6 1.546426+0 5.146238-6 1.301493+0 5.152459-6 1.109316+0 5.158486-6 9.612534-1 5.170163-6 7.648511-1 5.181111-6 6.651161-1 5.225982-6 6.343557-1 5.227847-6 6.384855-1 5.238519-6 6.739588-1 5.248324-6 7.379346-1 5.254386-6 8.035682-1 5.260069-6 8.916331-1 5.265398-6 1.004757+0 5.270393-6 1.144612+0 5.275076-6 1.311930+0 5.279466-6 1.506583+0 5.283582-6 1.727699+0 5.287441-6 1.973794+0 5.294676-6 2.553393+0 5.306546-6 3.918809+0 5.311393-6 4.657436+0 5.315634-6 5.404676+0 5.322592-6 6.858814+0 5.328275-6 8.280556+0 5.332536-6 9.499119+0 5.338130-6 1.131291+1 5.343524-6 1.330874+1 5.349733-6 1.592653+1 5.355486-6 1.867387+1 5.360086-6 2.110101+1 5.370377-6 2.728795+1 5.376068-6 3.115431+1 5.389236-6 4.121921+1 5.390882-6 4.257536+1 5.402404-6 5.253350+1 5.408214-6 5.776980+1 5.417503-6 6.622030+1 5.423124-6 7.125884+1 5.426698-6 7.438713+1 5.431389-6 7.836145+1 5.434404-6 8.081637+1 5.437420-6 8.317731+1 5.442344-6 8.679670+1 5.446037-6 8.929060+1 5.450884-6 9.223615+1 5.456532-6 9.514302+1 5.464131-6 9.805828+1 5.469886-6 9.944115+1 5.475656-6 1.000775+2 5.481035-6 9.998184+1 5.486441-6 9.921994+1 5.490121-6 9.832845+1 5.495801-6 9.638551+1 5.501461-6 9.380861+1 5.503580-6 9.269234+1 5.510518-6 8.851870+1 5.516952-6 8.404018+1 5.522285-6 7.998062+1 5.528135-6 7.526406+1 5.534444-6 6.998748+1 5.540046-6 6.523712+1 5.547248-6 5.918064+1 5.554244-6 5.349436+1 5.562782-6 4.699711+1 5.574793-6 3.898053+1 5.587987-6 3.195296+1 5.595073-6 2.897064+1 5.613623-6 2.353374+1 5.618192-6 2.264462+1 5.623458-6 2.179895+1 5.628775-6 2.111445+1 5.636133-6 2.040104+1 5.641889-6 1.999623+1 5.656035-6 1.941091+1 5.664191-6 1.926038+1 5.674116-6 1.921126+1 5.683807-6 1.929205+1 5.692116-6 1.946752+1 5.700170-6 1.974132+1 5.709509-6 2.019815+1 5.715913-6 2.060038+1 5.727621-6 2.151002+1 5.755277-6 2.413917+1 5.764997-6 2.497987+1 5.772519-6 2.550454+1 5.780441-6 2.588970+1 5.783299-6 2.597883+1 5.788829-6 2.606788+1 5.795230-6 2.602442+1 5.802570-6 2.577164+1 5.808831-6 2.538325+1 5.813660-6 2.497812+1 5.816731-6 2.467493+1 5.825942-6 2.357162+1 5.832170-6 2.268346+1 5.839101-6 2.159164+1 5.845783-6 2.046680+1 5.854988-6 1.886301+1 5.865738-6 1.701323+1 5.878206-6 1.505227+1 5.893428-6 1.312202+1 5.895107-6 1.294679+1 5.907715-6 1.188475+1 5.913836-6 1.152786+1 5.918612-6 1.131690+1 5.922513-6 1.118559+1 5.925439-6 1.110963+1 5.935336-6 1.097844+1 5.942491-6 1.098275+1 5.952141-6 1.108023+1 5.982874-6 1.160908+1 5.990683-6 1.171006+1 6.003523-6 1.180630+1 6.016117-6 1.181513+1 6.032442-6 1.172607+1 6.078661-6 1.128300+1 6.105018-6 1.110641+1 6.165320-6 1.082863+1 6.194971-6 1.061987+1 6.234642-6 1.024701+1 6.269124-6 9.936484+0 6.291898-6 9.803003+0 6.310117-6 9.758781+0 6.329366-6 9.776619+0 6.353867-6 9.882167+0 6.433526-6 1.044034+1 6.470390-6 1.062853+1 6.515963-6 1.077993+1 6.591710-6 1.098609+1 6.626063-6 1.112233+1 6.641304-6 1.120000+1 6.673248-6 1.140321+1 6.722921-6 1.178775+1 6.743628-6 1.192405+1 6.772899-6 1.203832+1 6.801584-6 1.213141+1 6.814329-6 1.225245+1 6.824236-6 1.243409+1 6.833296-6 1.270460+1 6.840342-6 1.300865+1 6.844872-6 1.325770+1 6.849402-6 1.355558+1 6.853428-6 1.386636+1 6.857997-6 1.427750+1 6.860978-6 1.458226+1 6.865507-6 1.510594+1 6.869191-6 1.558990+1 6.875235-6 1.650752+1 6.879863-6 1.732306+1 6.886476-6 1.867522+1 6.893783-6 2.044810+1 6.900338-6 2.230931+1 6.905151-6 2.385000+1 6.919591-6 2.941657+1 6.928921-6 3.380057+1 6.946953-6 4.402253+1 6.962863-6 5.475639+1 6.969393-6 5.952701+1 6.981379-6 6.863944+1 6.986807-6 7.284593+1 6.994565-6 7.885004+1 7.000800-6 8.360139+1 7.007816-6 8.879026+1 7.015386-6 9.410319+1 7.022107-6 9.848845+1 7.029533-6 1.028799+2 7.036930-6 1.066943+2 7.044305-6 1.098639+2 7.051873-6 1.123915+2 7.059871-6 1.142095+2 7.066105-6 1.149944+2 7.082191-6 1.144341+2 7.086831-6 1.135971+2 7.099428-6 1.099170+2 7.106873-6 1.068653+2 7.112041-6 1.044135+2 7.116729-6 1.019793+2 7.124420-6 9.761370+1 7.133057-6 9.227078+1 7.140271-6 8.755212+1 7.149546-6 8.128375+1 7.159819-6 7.426043+1 7.169769-6 6.755954+1 7.183488-6 5.876206+1 7.202913-6 4.767010+1 7.227247-6 3.654933+1 7.239775-6 3.203831+1 7.251812-6 2.840672+1 7.263664-6 2.542266+1 7.272378-6 2.355181+1 7.289806-6 2.048095+1 7.298608-6 1.920523+1 7.307234-6 1.809713+1 7.315949-6 1.709752+1 7.325476-6 1.611936+1 7.342091-6 1.464349+1 7.359519-6 1.334201+1 7.377855-6 1.219210+1 7.394375-6 1.132484+1 7.403089-6 1.092791+1 7.420518-6 1.025491+1 7.433179-6 9.864864+0 7.440826-6 9.669083+0 7.498183-6 9.205624+0 7.505353-6 9.291223+0 7.511626-6 9.398611+0 7.517115-6 9.519419+0 7.526121-6 9.776795+0 7.533016-6 1.002820+1 7.542337-6 1.045116+1 7.549970-6 1.087562+1 7.557789-6 1.139013+1 7.564806-6 1.192575+1 7.570990-6 1.245926+1 7.582096-6 1.356997+1 7.594441-6 1.504518+1 7.613121-6 1.776320+1 7.634178-6 2.145903+1 7.650444-6 2.463954+1 7.660299-6 2.662916+1 7.668931-6 2.836708+1 7.677299-6 3.001357+1 7.686393-6 3.172211+1 7.695853-6 3.336562+1 7.705406-6 3.484085+1 7.714526-6 3.603668+1 7.723872-6 3.701241+1 7.727350-6 3.730519+1 7.737251-6 3.791670+1 7.743560-6 3.812909+1 7.762024-6 3.794436+1 7.768011-6 3.763272+1 7.771817-6 3.737385+1 7.781808-6 3.648361+1 7.789195-6 3.564624+1 7.797123-6 3.460029+1 7.807284-6 3.307571+1 7.815215-6 3.177568+1 7.827184-6 2.969783+1 7.835919-6 2.814199+1 7.854563-6 2.488741+1 7.875343-6 2.166936+1 7.888418-6 2.000349+1 7.893397-6 1.945631+1 7.901563-6 1.866981+1 7.906401-6 1.827042+1 7.913659-6 1.776529+1 7.920916-6 1.737226+1 7.928279-6 1.708544+1 7.936264-6 1.689647+1 7.943747-6 1.682752+1 7.950507-6 1.684808+1 7.960062-6 1.699673+1 7.970096-6 1.728082+1 7.980302-6 1.767508+1 8.003116-6 1.877981+1 8.021083-6 1.969041+1 8.036720-6 2.039222+1 8.051494-6 2.091476+1 8.059316-6 2.112391+1 8.079148-6 2.142993+1 8.091250-6 2.146440+1 8.106321-6 2.136922+1 8.126972-6 2.105685+1 8.177730-6 2.003898+1 8.202476-6 1.968104+1 8.227114-6 1.947618+1 8.267419-6 1.937944+1 8.356382-6 1.936924+1 8.433984-6 1.933716+1 8.483460-6 1.946226+1 8.534959-6 1.975070+1 8.598139-6 2.014291+1 8.635209-6 2.022931+1 8.690375-6 2.015367+1 8.700304-6 2.016736+1 8.713265-6 2.024004+1 8.724392-6 2.037854+1 8.738313-6 2.069943+1 8.748377-6 2.107216+1 8.757192-6 2.152553+1 8.765713-6 2.210265+1 8.773461-6 2.276947+1 8.780509-6 2.351379+1 8.788243-6 2.450570+1 8.795639-6 2.565167+1 8.805477-6 2.752347+1 8.815983-6 3.003675+1 8.818165-6 3.063377+1 8.828871-6 3.398831+1 8.838239-6 3.756964+1 8.846436-6 4.126810+1 8.853608-6 4.498624+1 8.865375-6 5.217495+1 8.874384-6 5.869368+1 8.896830-6 7.933863+1 8.919199-6 1.070638+2 8.936687-6 1.342224+2 8.947645-6 1.537495+2 8.970930-6 2.013494+2 8.973499-6 2.070644+2 8.992846-6 2.525278+2 9.000904-6 2.724515+2 9.013392-6 3.039821+2 9.024521-6 3.322686+2 9.035308-6 3.593357+2 9.046437-6 3.863519+2 9.057223-6 4.111119+2 9.066811-6 4.315135+2 9.075672-6 4.487013+2 9.080509-6 4.573117+2 9.090781-6 4.735759+2 9.101397-6 4.872055+2 9.106898-6 4.928989+2 9.117116-6 5.008559+2 9.127230-6 5.052658+2 9.138127-6 5.060878+2 9.146897-6 5.038054+2 9.151562-6 5.015431+2 9.168171-6 4.878577+2 9.178604-6 4.750963+2 9.188717-6 4.600224+2 9.199846-6 4.407715+2 9.210632-6 4.199124+2 9.220221-6 3.999453+2 9.229466-6 3.797536+2 9.243506-6 3.480101+2 9.254464-6 3.228884+2 9.271585-6 2.841136+2 9.276379-6 2.735225+2 9.301034-6 2.221431+2 9.320210-6 1.868037+2 9.371347-6 1.157765+2 9.384936-6 1.023536+2 9.391690-6 9.643194+1 9.405146-6 8.599187+1 9.418496-6 7.724392+1 9.431743-6 6.994365+1 9.444886-6 6.386452+1 9.457926-6 5.880298+1 9.470865-6 5.458080+1 9.483702-6 5.104530+1 9.496439-6 4.806813+1 9.511399-6 4.511913+1 9.536192-6 4.122403+1 9.558840-6 3.844617+1 9.583140-6 3.603783+1 9.607060-6 3.407799+1 9.630607-6 3.243864+1 9.653785-6 3.103710+1 9.699062-6 2.874289+1 9.721171-6 2.778386+1 9.764698-6 2.612447+1 9.806865-6 2.474153+1 9.847714-6 2.356327+1 9.887287-6 2.254180+1 9.925623-6 2.164190+1 1.011120-5 1.802116+1 1.022273-5 1.627456+1 1.025058-5 1.591285+1 1.027756-5 1.560971+1 1.031637-5 1.528578+1 1.035318-5 1.513985+1 1.037086-5 1.513666+1 1.040227-5 1.524950+1 1.043512-5 1.553750+1 1.045617-5 1.581526+1 1.047673-5 1.615732+1 1.050496-5 1.674265+1 1.053463-5 1.750804+1 1.057027-5 1.864996+1 1.060373-5 1.997541+1 1.063513-5 2.148640+1 1.066459-5 2.318945+1 1.069593-5 2.537314+1 1.071735-5 2.713501+1 1.073162-5 2.845297+1 1.075699-5 3.113321+1 1.077735-5 3.365790+1 1.080000-5 3.695290+1 1.081812-5 4.004605+1 1.083662-5 4.372629+1 1.085856-5 4.896344+1 1.087281-5 5.300473+1 1.088545-5 5.711242+1 1.089974-5 6.247166+1 1.091313-5 6.832907+1 1.092569-5 7.470401+1 1.093746-5 8.160592+1 1.094901-5 8.940704+1 1.096854-5 1.054003+2 1.097764-5 1.142817+2 1.099469-5 1.339052+2 1.100961-5 1.548193+2 1.102266-5 1.765078+2 1.104472-5 2.216957+2 1.109674-5 3.832443+2 1.111896-5 4.813626+2 1.113298-5 5.534995+2 1.114140-5 6.006890+2 1.115508-5 6.836709+2 1.116875-5 7.743028+2 1.119611-5 9.768634+2 1.119953-5 1.003972+3 1.122517-5 1.217142+3 1.123399-5 1.293426+3 1.125082-5 1.441032+3 1.126471-5 1.562772+3 1.127818-5 1.678541+3 1.129207-5 1.793501+3 1.130553-5 1.898432+3 1.131750-5 1.984653+3 1.132856-5 2.057173+3 1.133460-5 2.093480+3 1.135063-5 2.177279+3 1.136467-5 2.234159+3 1.138036-5 2.277755+3 1.138958-5 2.293056+3 1.141581-5 2.293899+3 1.142329-5 2.282642+3 1.144402-5 2.226033+3 1.145704-5 2.172654+3 1.146967-5 2.109173+3 1.148356-5 2.027566+3 1.149702-5 1.938547+3 1.150899-5 1.852791+3 1.152438-5 1.735691+3 1.153806-5 1.627325+3 1.155173-5 1.516994+3 1.157311-5 1.344973+3 1.157909-5 1.297599+3 1.160987-5 1.065159+3 1.163380-5 9.023844+2 1.166116-5 7.401414+2 1.171199-5 5.090525+2 1.173312-5 4.378967+2 1.175409-5 3.796409+2 1.177494-5 3.322366+2 1.179562-5 2.939184+2 1.181711-5 2.616613+2 1.183650-5 2.379208+2 1.185670-5 2.175173+2 1.188716-5 1.931649+2 1.191635-5 1.751355+2 1.193593-5 1.651761+2 1.197478-5 1.490577+2 1.201302-5 1.365815+2 1.205066-5 1.265851+2 1.208771-5 1.183654+2 1.212419-5 1.114726+2 1.216009-5 1.056018+2 1.219544-5 1.005370+2 1.226448-5 9.222930+1 1.233190-5 8.564303+1 1.239722-5 8.032799+1 1.248263-5 7.456446+1 1.252180-5 7.227616+1 1.262482-5 6.707963+1 1.269445-5 6.410772+1 1.280243-5 6.015475+1 1.290366-5 5.701759+1 1.299856-5 5.447056+1 1.317094-5 5.055680+1 1.332734-5 4.758920+1 1.348645-5 4.501014+1 1.368516-5 4.222558+1 1.456411-5 3.270897+1 1.488359-5 2.953859+1 1.506109-5 2.756051+1 1.513208-5 2.664404+1 1.523532-5 2.509274+1 1.529396-5 2.408740+1 1.538240-5 2.255655+1 1.540689-5 2.219379+1 1.544215-5 2.178807+1 1.545537-5 2.168493+1 1.552323-5 2.178154+1 1.556125-5 2.244432+1 1.556600-5 2.256394+1 1.559927-5 2.364590+1 1.561234-5 2.419018+1 1.564205-5 2.567369+1 1.567752-5 2.785765+1 1.575136-5 3.336920+1 1.578700-5 3.613760+1 1.579413-5 3.667323+1 1.582740-5 3.901644+1 1.586542-5 4.123629+1 1.587849-5 4.185464+1 1.590344-5 4.280038+1 1.592686-5 4.339132+1 1.593803-5 4.356977+1 1.595479-5 4.371264+1 1.597155-5 4.370932+1 1.598304-5 4.362590+1 1.600889-5 4.321358+1 1.601751-5 4.301230+1 1.604602-5 4.214848+1 1.605553-5 4.180131+1 1.609355-5 4.018669+1 1.613157-5 3.833450+1 1.623441-5 3.320648+1 1.628370-5 3.106950+1 1.633874-5 2.907888+1 1.638400-5 2.777856+1 1.641917-5 2.698068+1 1.645991-5 2.628861+1 1.650000-5 2.584679+1 1.652277-5 2.569809+1 1.654565-5 2.561931+1 1.657034-5 2.560826+1 1.661664-5 2.576528+1 1.666638-5 2.611898+1 1.675421-5 2.686684+1 1.678795-5 2.709027+1 1.682848-5 2.725882+1 1.687913-5 2.729305+1 1.690952-5 2.722295+1 1.695005-5 2.704312+1 1.702983-5 2.651968+1 1.716481-5 2.563897+1 1.728750-5 2.508269+1 1.780970-5 2.328310+1 1.792937-5 2.283346+1 1.807512-5 2.222816+1 1.874522-5 1.948670+1 1.931641-5 1.729142+1 1.982600-5 1.530607+1 2.046616-5 1.282518+1 2.093554-5 1.106295+1 2.118309-5 1.012958+1 2.152301-5 8.838221+0 2.187746-5 7.506154+0 2.212171-5 6.604198+0 2.232356-5 5.866190+0 2.251823-5 5.160212+0 2.269734-5 4.520951+0 2.284397-5 4.009676+0 2.298557-5 3.530102+0 2.309844-5 3.160643+0 2.321131-5 2.805449+0 2.332419-5 2.467853+0 2.338975-5 2.281541+0 2.349350-5 2.004662+0 2.366281-5 1.613471+0 2.371925-5 1.504001+0 2.377569-5 1.406925+0 2.383212-5 1.323389+0 2.386034-5 1.287049+0 2.388856-5 1.254513+0 2.391678-5 1.225925+0 2.394500-5 1.201433+0 2.398732-5 1.172742+0 2.402613-5 1.155413+0 2.405893-5 1.147921+0 2.409228-5 1.147527+0 2.412474-5 1.154706+0 2.415620-5 1.169431+0 2.418669-5 1.191721+0 2.420157-5 1.205727+0 2.423088-5 1.239843+0 2.425926-5 1.281967+0 2.428765-5 1.334107+0 2.431341-5 1.391175+0 2.433922-5 1.458841+0 2.436422-5 1.535675+0 2.438844-5 1.622071+0 2.441191-5 1.718461+0 2.443464-5 1.825320+0 2.445666-5 1.943155+0 2.447800-5 2.072510+0 2.449866-5 2.213963+0 2.453870-5 2.541319+0 2.457624-5 2.926481+0 2.461144-5 3.374838+0 2.464443-5 3.891529+0 2.467536-5 4.481067+0 2.470436-5 5.146975+0 2.473154-5 5.891489+0 2.475703-5 6.715347+0 2.478092-5 7.617684+0 2.480332-5 8.596035+0 2.484401-5 1.076357+1 2.489708-5 1.453680+1 2.499732-5 2.577730+1 2.504420-5 3.351409+1 2.508582-5 4.204752+1 2.511675-5 4.952735+1 2.515045-5 5.886768+1 2.518217-5 6.885875+1 2.520120-5 7.542547+1 2.523214-5 8.701993+1 2.526308-5 9.973587+1 2.532496-5 1.282711+2 2.533269-5 1.320954+2 2.538684-5 1.600800+2 2.540811-5 1.714902+2 2.544871-5 1.934942+2 2.548014-5 2.103539+2 2.549748-5 2.194548+2 2.551833-5 2.300901+2 2.554201-5 2.416400+2 2.556485-5 2.520919+2 2.558794-5 2.618228+2 2.561477-5 2.718955+2 2.563821-5 2.794548+2 2.566722-5 2.870123+2 2.569469-5 2.921788+2 2.570970-5 2.941348+2 2.573995-5 2.961512+2 2.576769-5 2.956949+2 2.579076-5 2.936381+2 2.581906-5 2.890845+2 2.584215-5 2.837859+2 2.588572-5 2.702428+2 2.591042-5 2.607579+2 2.593124-5 2.519089+2 2.595147-5 2.426813+2 2.597515-5 2.312403+2 2.600561-5 2.158223+2 2.603268-5 2.017635+2 2.606749-5 1.836949+2 2.611223-5 1.613928+2 2.618807-5 1.290379+2 2.620785-5 1.222038+2 2.622753-5 1.161949+2 2.624720-5 1.110182+2 2.626424-5 1.072368+2 2.631500-5 9.998890+1 2.632770-5 9.913040+1 2.635229-5 9.854869+1 2.637104-5 9.904419+1 2.639004-5 1.003490+2 2.640713-5 1.021845+2 2.642839-5 1.052981+2 2.645251-5 1.098617+2 2.648087-5 1.164849+2 2.652053-5 1.276250+2 2.659282-5 1.515529+2 2.663238-5 1.653400+2 2.667367-5 1.792739+2 2.670217-5 1.882308+2 2.674203-5 1.993669+2 2.676740-5 2.053975+2 2.678747-5 2.094974+2 2.681621-5 2.142425+2 2.683734-5 2.168376+2 2.685052-5 2.180596+2 2.689008-5 2.198610+2 2.691217-5 2.196501+2 2.693327-5 2.186512+2 2.695436-5 2.168978+2 2.698249-5 2.134450+2 2.700057-5 2.105941+2 2.701865-5 2.072856+2 2.703974-5 2.028928+2 2.707088-5 1.954764+2 2.708294-5 1.923439+2 2.711508-5 1.833966+2 2.714723-5 1.737631+2 2.716330-5 1.687584+2 2.719946-5 1.572093+2 2.721151-5 1.533086+2 2.727580-5 1.325754+2 2.732023-5 1.187603+2 2.737223-5 1.036038+2 2.744004-5 8.596425+1 2.757129-5 5.943093+1 2.761863-5 5.219276+1 2.766302-5 4.637647+1 2.770463-5 4.167407+1 2.778266-5 3.448538+1 2.785093-5 2.956532+1 2.791066-5 2.604216+1 2.801520-5 2.112077+1 2.828962-5 1.251841+1 2.836369-5 1.093495+1 2.846828-5 9.230714+0 2.853801-5 8.470272+0 2.860773-5 8.024461+0 2.862517-5 7.961682+0 2.867746-5 7.884385+0 2.869247-5 7.891309+0 2.871872-5 7.932093+0 2.873842-5 7.984901+0 2.876796-5 8.095879+0 2.879750-5 8.239351+0 2.885322-5 8.573098+0 2.893906-5 9.141436+0 2.897380-5 9.350675+0 2.902610-5 9.603386+0 2.909583-5 9.769561+0 2.911326-5 9.774095+0 2.916556-5 9.690065+0 2.918082-5 9.637463+0 2.920752-5 9.515228+0 2.924758-5 9.262840+0 2.928764-5 8.935282+0 2.933119-5 8.508332+0 2.935296-5 8.273174+0 2.937474-5 8.027316+0 2.940960-5 7.619011+0 2.944447-5 7.204072+0 2.951419-5 6.407069+0 2.958392-5 5.736768+0 2.961756-5 5.484179+0 2.969010-5 5.137311+0 2.972338-5 5.077293+0 2.976264-5 5.088853+0 2.978078-5 5.123719+0 2.981912-5 5.255696+0 2.983519-5 5.333098+0 2.986700-5 5.521017+0 2.989299-5 5.704694+0 2.994170-5 6.106164+0 3.000676-5 6.708808+0 3.005281-5 7.139304+0 3.008913-5 7.458044+0 3.012544-5 7.743336+0 3.016674-5 8.011477+0 3.019886-5 8.169264+0 3.020804-5 8.205277+0 3.027229-5 8.334736+0 3.029753-5 8.324511+0 3.034572-5 8.209061+0 3.038172-5 8.044288+0 3.040226-5 7.922450+0 3.043821-5 7.665509+0 3.046517-5 7.440689+0 3.050562-5 7.061720+0 3.054606-5 6.646034+0 3.058824-5 6.190066+0 3.063943-5 5.630113+0 3.080269-5 4.069664+0 3.083400-5 3.840085+0 3.090316-5 3.427413+0 3.094154-5 3.252941+0 3.096532-5 3.162992+0 3.100099-5 3.051949+0 3.103673-5 2.966431+0 3.106733-5 2.910911+0 3.108176-5 2.889666+0 3.112685-5 2.840350+0 3.118553-5 2.805589+0 3.125244-5 2.790315+0 3.149115-5 2.774509+0 3.163965-5 2.763115+0 3.170251-5 2.769727+0 3.177113-5 2.792621+0 3.180430-5 2.811294+0 3.184989-5 2.846641+0 3.189403-5 2.892942+0 3.192694-5 2.936088+0 3.198668-5 3.035280+0 3.203360-5 3.133978+0 3.206557-5 3.212636+0 3.210619-5 3.326905+0 3.218303-5 3.590608+0 3.224508-5 3.853481+0 3.228995-5 4.073883+0 3.234131-5 4.359545+0 3.242099-5 4.877863+0 3.250592-5 5.535422+0 3.266877-5 7.087234+0 3.274879-5 7.957006+0 3.282880-5 8.854401+0 3.286881-5 9.298993+0 3.290882-5 9.731973+0 3.293692-5 1.002536+1 3.297907-5 1.044287+1 3.302122-5 1.082621+1 3.305314-5 1.108922+1 3.310100-5 1.143327+1 3.314887-5 1.171049+1 3.318888-5 1.188772+1 3.322888-5 1.201453+1 3.328890-5 1.211313+1 3.330890-5 1.212314+1 3.338892-5 1.206638+1 3.349924-5 1.182077+1 3.362230-5 1.152838+1 3.369460-5 1.144643+1 3.375385-5 1.146421+1 3.378900-5 1.151721+1 3.386901-5 1.176406+1 3.392723-5 1.205310+1 3.398529-5 1.242591+1 3.411422-5 1.349544+1 3.430851-5 1.544774+1 3.444072-5 1.682599+1 3.456285-5 1.808507+1 3.472935-5 1.981311+1 3.522003-5 2.570870+1 3.556538-5 3.085234+1 3.584475-5 3.558381+1 3.607668-5 3.985092+1 3.623397-5 4.289508+1 3.671771-5 5.316435+1 3.770016-5 8.075564+1 3.836875-5 1.060259+2 3.862457-5 1.172531+2 3.901665-5 1.362367+2 3.939899-5 1.568942+2 3.979899-5 1.808905+2 4.018721-5 2.065690+2 4.066179-5 2.410901+2 4.095305-5 2.639662+2 4.132272-5 2.948598+2 4.159771-5 3.191730+2 4.188797-5 3.460462+2 4.226036-5 3.822196+2 4.265795-5 4.225699+2 4.298808-5 4.571442+2 4.337663-5 4.989656+2 4.365158-5 5.291437+2 4.410000-5 5.788473+2 4.450000-5 6.232356+2 4.500000-5 6.781284+2 4.522584-5 7.025397+2 4.560650-5 7.431111+2 4.600419-5 7.844585+2 4.650000-5 8.334943+2 4.700000-5 8.795406+2 4.740000-5 9.136736+2 4.786301-5 9.497330+2 4.840000-5 9.870643+2 4.882500-5 1.013065+3 4.930052-5 1.037988+3 4.954502-5 1.049209+3 5.015000-5 1.072913+3 5.043086-5 1.081941+3 5.098670-5 1.096276+3 5.132324-5 1.102909+3 5.190000-5 1.111209+3 5.239856-5 1.115519+3 5.340179-5 1.117279+3 5.412109-5 1.114102+3 5.556012-5 1.100272+3 5.713942-5 1.079183+3 6.003545-5 1.032527+3 6.346313-5 9.754381+2 6.683439-5 9.207643+2 7.018592-5 8.679879+2 7.740161-5 7.666115+2 8.293732-5 6.964680+2 8.758996-5 6.418335+2 9.225428-5 5.894931+2 9.435253-5 5.731421+2 9.481799-5 5.672576+2 9.569474-5 5.520756+2 9.662393-5 5.351953+2 9.719800-5 5.275902+2 9.779063-5 5.234039+2 9.859985-5 5.229386+2 9.982773-5 5.260903+2 1.018120-4 5.257030+2 1.052708-4 5.148605+2 1.073984-4 5.057224+2 1.101619-4 4.924012+2 1.126134-4 4.798696+2 1.152387-4 4.656475+2 1.188334-4 4.451577+2 1.204550-4 4.342695+2 1.223526-4 4.191485+2 1.230487-4 4.152239+2 1.238146-4 4.129538+2 1.247041-4 4.125123+2 1.268425-4 4.138581+2 1.289000-4 4.125087+2 1.333521-4 4.034701+2 1.370980-4 3.931678+2 1.406705-4 3.820156+2 1.440000-4 3.711464+2 1.502388-4 3.499442+2 1.581891-4 3.230547+2 1.605286-4 3.136047+2 1.639311-4 2.984639+2 1.675070-4 2.819462+2 1.692974-4 2.761317+2 1.730159-4 2.679282+2 1.744150-4 2.655913+2 1.785000-4 2.611263+2 1.800000-4 2.590899+2 1.835500-4 2.527062+2 1.873538-4 2.440750+2 1.905963-4 2.357630+2 1.930000-4 2.291947+2 1.957000-4 2.215364+2 2.005000-4 2.075054+2 2.031345-4 1.997344+2 2.083150-4 1.845622+2 2.125797-4 1.723881+2 2.200392-4 1.523709+2 2.277718-4 1.344950+2 2.294618-4 1.311404+2 2.330000-4 1.248799+2 2.357335-4 1.208256+2 2.385722-4 1.174834+2 2.430000-4 1.140338+2 2.457533-4 1.130281+2 2.500000-4 1.131598+2 2.540973-4 1.153788+2 2.608864-4 1.230650+2 2.672150-4 1.346228+2 2.722701-4 1.467947+2 2.770542-4 1.609314+2 2.820270-4 1.779609+2 2.985383-4 2.501068+2 3.050000-4 2.832667+2 3.100000-4 3.102341+2 3.162278-4 3.449502+2 3.240823-4 3.899130+2 3.350656-4 4.540358+2 3.470000-4 5.242938+2 3.589219-4 5.940133+2 3.704187-4 6.599953+2 3.818348-4 7.231417+2 3.981072-4 8.066642+2 4.147200-4 8.808128+2 4.247820-4 9.240006+2 4.333319-4 9.723060+2 4.355390-4 9.812568+2 4.399744-4 9.944751+2 4.433623-4 1.007373+3 4.475135-4 1.031485+3 4.556151-4 1.090030+3 4.579323-4 1.102627+3 4.638327-4 1.126223+3 4.682402-4 1.147030+3 4.791355-4 1.210954+3 4.954502-4 1.295272+3 5.201608-4 1.405033+3 5.399325-4 1.480970+3 5.650000-4 1.563084+3 5.865330-4 1.623552+3 6.120159-4 1.684425+3 6.361583-4 1.726544+3 6.582861-4 1.745484+3 6.628413-4 1.755044+3 6.680093-4 1.776080+3 6.770634-4 1.831768+3 6.853086-4 1.878182+3 6.988105-4 1.928952+3 7.193250-4 1.981759+3 7.470395-4 2.036367+3 7.911331-4 2.095516+3 8.157563-4 2.141040+3 8.413951-4 2.179005+3 8.684603-4 2.208106+3 9.189709-4 2.250188+3 9.494499-4 2.290335+3 9.839855-4 2.324216+3 1.030582-3 2.355502+3 1.089156-3 2.382684+3 1.152474-3 2.399116+3 1.220518-3 2.399801+3 1.297195-3 2.391033+3 1.377408-3 2.374529+3 1.462966-3 2.350686+3 1.560001-3 2.313909+3 1.665578-3 2.257736+3 1.759189-3 2.202033+3 1.855683-3 2.137393+3 1.961936-3 2.052299+3 2.051898-3 1.970858+3 2.131870-3 1.888956+3 2.202356-3 1.805656+3 2.263817-3 1.722106+3 2.316225-3 1.640955+3 2.362221-3 1.559418+3 2.400280-3 1.481799+3 2.433092-3 1.404119+3 2.461784-3 1.324052+3 2.485351-3 1.245078+3 2.504109-3 1.168639+3 2.518257-3 1.100268+3 2.529197-3 1.041512+3 2.549522-3 9.327023+2 2.556033-3 9.044037+2 2.562338-3 8.833796+2 2.565671-3 8.754140+2 2.569312-3 8.695297+2 2.573078-3 8.667473+2 2.577597-3 8.680213+2 2.582999-3 8.761588+2 2.588656-3 8.919778+2 2.594823-3 9.166058+2 2.603420-3 9.603153+2 2.617900-3 1.043082+3 2.623500-3 1.073385+3 2.629502-3 1.102884+3 2.636612-3 1.133024+3 2.643427-3 1.157075+3 2.651697-3 1.181363+3 2.665744-3 1.219350+3 2.671291-3 1.236845+3 2.677072-3 1.258473+3 2.682941-3 1.284997+3 2.690750-3 1.328438+3 2.696940-3 1.369608+3 2.703870-3 1.422025+3 2.724337-3 1.599087+3 2.730720-3 1.654844+3 2.737340-3 1.710142+3 2.745703-3 1.774617+3 2.756249-3 1.845763+3 2.767935-3 1.911326+3 2.781864-3 1.974004+3 2.800000-3 2.037629+3 2.823758-3 2.102345+3 2.848968-3 2.157464+3 2.878798-3 2.210827+3 2.912910-3 2.259622+3 2.946803-3 2.296514+3 2.984262-3 2.324656+3 3.017335-3 2.338447+3 3.052354-3 2.340357+3 3.077714-3 2.331557+3 3.129028-3 2.299278+3 3.141379-3 2.300246+3 3.153459-3 2.309968+3 3.163223-3 2.325006+3 3.182086-3 2.370397+3 3.218669-3 2.482340+3 3.235937-3 2.527531+3 3.254618-3 2.565805+3 3.276346-3 2.598610+3 3.308385-3 2.632476+3 3.343795-3 2.658897+3 3.392711-3 2.684676+3 3.429163-3 2.698043+3 3.473663-3 2.708186+3 3.524340-3 2.712138+3 3.572518-3 2.707627+3 3.656144-3 2.680531+3 3.690854-3 2.684024+3 3.767174-3 2.737808+3 3.793750-3 2.750973+3 3.831842-3 2.760063+3 3.900207-3 2.757902+3 3.959011-3 2.756885+3 4.025360-3 2.783191+3 4.088137-3 2.806848+3 4.137328-3 2.815105+3 4.262918-3 2.818368+3 4.479711-3 2.800367+3 4.786618-3 2.744830+3 5.026319-3 2.691768+3 5.436414-3 2.587505+3 5.737861-3 2.508119+3 6.025596-3 2.430161+3 6.428895-3 2.321599+3 6.910846-3 2.195489+3 7.490852-3 2.051576+3 8.151734-3 1.897692+3 8.871720-3 1.744675+3 9.258550-3 1.667197+3 9.678766-3 1.586931+3 1.009795-2 1.510570+3 1.053477-2 1.433364+3 1.094899-2 1.362251+3 1.128864-2 1.304872+3 1.159205-2 1.253695+3 1.186205-2 1.207827+3 1.211306-2 1.164462+3 1.230748-2 1.129731+3 1.247839-2 1.097633+3 1.262396-2 1.068608+3 1.275534-2 1.040316+3 1.286068-2 1.015324+3 1.294882-2 9.918153+2 1.302173-2 9.695805+2 1.308148-2 9.488500+2 1.316786-2 9.149342+2 1.327425-2 8.727624+2 1.332347-2 8.576241+2 1.336017-2 8.498894+2 1.338379-2 8.468628+2 1.340883-2 8.454490+2 1.345705-2 8.479266+2 1.350345-2 8.560890+2 1.356364-2 8.725815+2 1.367473-2 9.078097+2 1.375816-2 9.293451+2 1.381773-2 9.405483+2 1.388171-2 9.491493+2 1.396246-2 9.561715+2 1.405684-2 9.606712+2 1.416209-2 9.625493+2 1.427200-2 9.620470+2 1.439875-2 9.592024+2 1.453785-2 9.539016+2 1.467163-2 9.469608+2 1.494209-2 9.278738+2 1.508640-2 9.146470+2 1.520872-2 9.011614+2 1.530804-2 8.880033+2 1.544897-2 8.651568+2 1.559644-2 8.396204+2 1.567029-2 8.299955+2 1.574422-2 8.248157+2 1.581524-2 8.245204+2 1.594524-2 8.322290+2 1.609933-2 8.423205+2 1.634108-2 8.499999+2 1.648016-2 8.587333+2 1.673979-2 8.783934+2 1.691914-2 8.852029+2 1.718006-2 8.872086+2 1.748880-2 8.838881+2 1.786214-2 8.756427+2 1.841460-2 8.591776+2 1.922947-2 8.297444+2 2.031831-2 7.870303+2 2.146427-2 7.422611+2 2.300052-2 6.850557+2 2.486262-2 6.222118+2 2.756087-2 5.438103+2 3.117968-2 4.588933+2 3.494975-2 3.895539+2 3.799758-2 3.435912+2 4.122447-2 3.022537+2 4.851447-2 2.315567+2 5.471488-2 1.890841+2 5.937844-2 1.638741+2 6.656772-2 1.333384+2 7.203569-2 1.151684+2 7.707986-2 1.010201+2 8.064614-2 9.204105+1 8.341612-2 8.537285+1 8.540968-2 8.053205+1 8.683097-2 7.685707+1 8.743358-2 7.515338+1 8.792168-2 7.364945+1 8.866590-2 7.103142+1 8.997430-2 6.595361+1 9.034975-2 6.491990+1 9.068383-2 6.438353+1 9.103559-2 6.425396+1 9.144751-2 6.460991+1 9.211719-2 6.586470+1 9.291070-2 6.735064+1 9.352711-2 6.806380+1 9.391029-2 6.831322+1 9.439369-2 6.846976+1 9.558482-2 6.839368+1 9.702197-2 6.783683+1 9.916236-2 6.657544+1 1.023945-1 6.426133+1 1.065564-1 6.102266+1 1.118844-1 5.685793+1 1.193512-1 5.139076+1 1.299334-1 4.465904+1 1.483656-1 3.550865+1 1.756659-1 2.630142+1 2.127774-1 1.857424+1 2.561770-1 1.317067+1 3.216368-1 8.574904+0 4.114728-1 5.350463+0 5.827842-1 2.725002+0 8.697111-1 1.244926+0 1.347258+0 5.254416-1 2.451607+0 1.599961-1 7.463583+0 1.732462-2 2.341267+1 1.760996-3 7.070513+1 1.930939-4 2.135261+2 2.117238-5 6.448384+2 2.321506-6 1.995262+3 2.424776-7 6.309573+3 2.424776-8 1.995262+4 2.424776-9 6.309573+4 2.42478-10 1.000000+5 9.65321-11 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.489800-6 1.258900-6 2.361200-6 1.584900-6 3.742200-6 1.995300-6 5.931000-6 2.511900-6 9.399900-6 3.162300-6 1.489800-5 3.981100-6 2.361100-5 5.011900-6 3.742100-5 6.309600-6 5.930800-5 7.943300-6 9.399600-5 1.000000-5 1.489700-4 1.258900-5 2.361000-4 1.584900-5 3.741900-4 1.995300-5 5.930400-4 2.511900-5 9.398700-4 3.162300-5 1.489400-3 3.981100-5 2.359400-3 5.011900-5 3.737700-3 6.309600-5 5.921700-3 7.943300-5 9.382400-3 1.000000-4 1.486200-2 1.258900-4 2.352000-2 1.584900-4 3.720600-2 1.995300-4 5.878900-2 2.511900-4 9.271500-2 3.162300-4 1.458400-1 3.981100-4 2.284500-1 5.011900-4 3.555900-1 6.309600-4 5.461200-1 7.943300-4 8.236900-1 1.000000-3 1.215200+0 1.258900-3 1.745700+0 1.584900-3 2.437600+0 1.995300-3 3.310300+0 2.511900-3 4.384200+0 3.162300-3 5.661600+0 3.981100-3 7.146300+0 5.011900-3 8.877900+0 6.309600-3 1.090900+1 7.943300-3 1.327600+1 1.000000-2 1.591700+1 1.258900-2 1.866900+1 1.584900-2 2.141700+1 1.995300-2 2.419500+1 2.511900-2 2.692600+1 3.162300-2 2.948800+1 3.981100-2 3.168500+1 5.011900-2 3.333900+1 6.309600-2 3.439900+1 7.943300-2 3.486500+1 1.000000-1 3.475600+1 1.258900-1 3.408200+1 1.584900-1 3.291900+1 1.995300-1 3.137900+1 2.511900-1 2.957900+1 3.162300-1 2.760300+1 3.981100-1 2.553400+1 5.011900-1 2.343400+1 6.309600-1 2.135400+1 7.943300-1 1.932500+1 1.000000+0 1.737200+1 1.258900+0 1.551100+1 1.584900+0 1.375700+1 1.995300+0 1.212100+1 2.511900+0 1.061000+1 3.162300+0 9.228500+0 3.981100+0 7.979100+0 5.011900+0 6.859800+0 6.309600+0 5.866600+0 7.943300+0 4.992900+0 1.000000+1 4.230300+0 1.258900+1 3.569800+0 1.584900+1 3.001300+0 1.995300+1 2.515000+0 2.511900+1 2.101200+0 3.162300+1 1.750700+0 3.981100+1 1.455000+0 5.011900+1 1.206700+0 6.309600+1 9.987100-1 7.943300+1 8.250700-1 1.000000+2 6.804900-1 1.258900+2 5.604000-1 1.584900+2 4.608600-1 1.995300+2 3.785200-1 2.511900+2 3.105300-1 3.162300+2 2.544700-1 3.981100+2 2.083300-1 5.011900+2 1.703900-1 6.309600+2 1.392400-1 7.943300+2 1.136900-1 1.000000+3 9.275600-2 1.258900+3 7.562300-2 1.584900+3 6.161300-2 1.995300+3 5.016500-2 2.511900+3 4.082000-2 3.162300+3 3.319700-2 3.981100+3 2.698200-2 5.011900+3 2.192000-2 6.309600+3 1.779800-2 7.943300+3 1.444400-2 1.000000+4 1.171700-2 1.258900+4 9.501100-3 1.584900+4 7.700800-3 1.995300+4 6.239100-3 2.511900+4 5.052900-3 3.162300+4 4.090700-3 3.981100+4 3.310500-3 5.011900+4 2.678200-3 6.309600+4 2.166000-3 7.943300+4 1.751100-3 1.000000+5 1.415300-3 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510162-4 3.162278-4 3.159547-4 3.981072-4 3.976751-4 5.011872-4 5.005042-4 6.309573-4 6.298801-4 7.943282-4 7.926329-4 1.000000-3 9.973379-4 1.258925-3 1.254749-3 1.584893-3 1.578376-3 1.995262-3 1.985076-3 2.511886-3 2.496017-3 3.162278-3 3.137510-3 3.981072-3 3.942487-3 5.011872-3 4.951752-3 6.309573-3 6.215581-3 7.943282-3 7.796267-3 1.000000-2 9.770770-3 1.258925-2 1.223394-2 1.584893-2 1.530013-2 1.995262-2 1.910793-2 2.511886-2 2.382019-2 3.162278-2 2.963498-2 3.981072-2 3.678853-2 5.011872-2 4.556191-2 6.309573-2 5.627898-2 7.943282-2 6.931318-2 1.000000-1 8.508150-2 1.258925-1 1.041173-1 1.584893-1 1.270252-1 1.995262-1 1.544713-1 2.511886-1 1.871820-1 3.162278-1 2.261083-1 3.981072-1 2.722857-1 5.011872-1 3.268783-1 6.309573-1 3.912854-1 7.943282-1 4.671512-1 1.000000+0 5.565274-1 1.258925+0 6.619192-1 1.584893+0 7.861247-1 1.995262+0 9.332427-1 2.511886+0 1.107809+0 3.162278+0 1.315497+0 3.981072+0 1.563483+0 5.011872+0 1.860329+0 6.309573+0 2.216530+0 7.943282+0 2.645159+0 1.000000+1 3.161695+0 1.258925+1 3.785772+0 1.584893+1 4.540971+0 1.995262+1 5.456288+0 2.511886+1 6.566990+0 3.162278+1 7.917174+0 3.981072+1 9.559501+0 5.011872+1 1.156036+1 6.309573+1 1.399997+1 7.943282+1 1.697761+1 1.000000+2 2.061508+1 1.258925+2 2.506229+1 1.584893+2 3.050379+1 1.995262+2 3.716740+1 2.511886+2 4.533252+1 3.162278+2 5.534516+1 3.981072+2 6.762967+1 5.011872+2 8.271291+1 6.309573+2 1.012420+2 7.943282+2 1.240177+2 1.000000+3 1.520277+2 1.258925+3 1.864922+2 1.584893+3 2.289176+2 1.995262+3 2.811677+2 2.511886+3 3.455658+2 3.162278+3 4.249339+2 3.981072+3 5.228176+2 5.011872+3 6.435815+2 6.309573+3 7.926433+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739836-9 3.981072-5 4.341880-9 5.011872-5 6.881028-9 6.309573-5 1.090533-8 7.943282-5 1.728321-8 1.000000-4 2.738787-8 1.258925-4 4.339324-8 1.584893-4 6.875068-8 1.995262-4 1.089083-7 2.511886-4 1.724788-7 3.162278-4 2.730339-7 3.981072-4 4.320247-7 5.011872-4 6.829954-7 6.309573-4 1.077210-6 7.943282-4 1.695320-6 1.000000-3 2.662066-6 1.258925-3 4.176159-6 1.584893-3 6.517149-6 1.995262-3 1.018635-5 2.511886-3 1.586961-5 3.162278-3 2.476747-5 3.981072-3 3.858502-5 5.011872-3 6.012066-5 6.309573-3 9.399211-5 7.943282-3 1.470149-4 1.000000-2 2.292297-4 1.258925-2 3.553137-4 1.584893-2 5.488050-4 1.995262-2 8.446909-4 2.511886-2 1.298677-3 3.162278-2 1.987793-3 3.981072-2 3.022191-3 5.011872-2 4.556815-3 6.309573-2 6.816753-3 7.943282-2 1.011964-2 1.000000-1 1.491850-2 1.258925-1 2.177528-2 1.584893-1 3.146415-2 1.995262-1 4.505492-2 2.511886-1 6.400667-2 3.162278-1 9.011945-2 3.981072-1 1.258214-1 5.011872-1 1.743089-1 6.309573-1 2.396719-1 7.943282-1 3.271771-1 1.000000+0 4.434726-1 1.258925+0 5.970062-1 1.584893+0 7.987685-1 1.995262+0 1.062020+0 2.511886+0 1.404078+0 3.162278+0 1.846781+0 3.981072+0 2.417589+0 5.011872+0 3.151544+0 6.309573+0 4.093044+0 7.943282+0 5.298123+0 1.000000+1 6.838305+0 1.258925+1 8.803482+0 1.584893+1 1.130796+1 1.995262+1 1.449633+1 2.511886+1 1.855187+1 3.162278+1 2.370560+1 3.981072+1 3.025122+1 5.011872+1 3.855836+1 6.309573+1 4.909577+1 7.943282+1 6.245521+1 1.000000+2 7.938492+1 1.258925+2 1.008303+2 1.584893+2 1.279855+2 1.995262+2 1.623588+2 2.511886+2 2.058561+2 3.162278+2 2.608826+2 3.981072+2 3.304775+2 5.011872+2 4.184743+2 6.309573+2 5.297153+2 7.943282+2 6.703106+2 1.000000+3 8.479723+2 1.258925+3 1.072433+3 1.584893+3 1.355976+3 1.995262+3 1.714095+3 2.511886+3 2.166321+3 3.162278+3 2.737344+3 3.981072+3 3.458254+3 5.011872+3 4.368291+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 6.350000-6 4.408500+7 6.683439-6 4.051456+7 7.100000-6 3.636480+7 7.585776-6 3.202449+7 8.035261-6 2.846859+7 8.511380-6 2.515738+7 8.600000-6 2.457671+7 8.600000-6 4.292821+7 8.912509-6 4.041369+7 9.015711-6 3.960206+7 9.225714-6 3.798132+7 9.660509-6 3.482669+7 1.011579-5 3.173217+7 1.035142-5 3.024618+7 1.050000-5 2.934124+7 1.100000-5 2.648314+7 1.109175-5 2.598922+7 1.150000-5 2.390441+7 1.202264-5 2.151210+7 1.270000-5 1.877449+7 1.310000-5 1.734682+7 1.348963-5 1.607884+7 1.428894-5 1.380601+7 1.445440-5 1.338337+7 1.531087-5 1.143419+7 1.603245-5 1.005813+7 1.650000-5 9.277173+6 1.769000-5 7.604364+6 1.769000-5 9.550950+6 1.819701-5 8.746723+6 1.862087-5 8.129816+6 1.972423-5 6.771304+6 2.065380-5 5.853215+6 2.400000-5 3.646050+6 2.600160-5 2.841198+6 2.754229-5 2.378485+6 2.851018-5 2.139474+6 2.917427-5 1.994426+6 3.054921-5 1.734783+6 3.126079-5 1.618689+6 3.190000-5 1.523458+6 3.217000-5 1.485712+6 3.217000-5 4.465936+6 3.250000-5 4.493432+6 3.280000-5 4.537287+6 3.311311-5 4.607512+6 3.340000-5 4.695391+6 3.365000-5 4.789744+6 3.400000-5 4.953268+6 3.427678-5 5.110163+6 3.430000-5 5.123737+6 3.467369-5 5.378487+6 3.470000-5 5.397188+6 3.510000-5 5.727417+6 3.537000-5 5.987601+6 3.537000-5 7.554533+6 3.548134-5 7.684726+6 3.550000-5 7.706845+6 3.570000-5 7.964699+6 3.600000-5 8.381124+6 3.630781-5 8.871086+6 3.650000-5 9.201658+6 3.670000-5 9.575092+6 3.672823-5 9.630265+6 3.700000-5 1.017992+7 3.720000-5 1.061417+7 3.740000-5 1.108063+7 3.770000-5 1.183254+7 3.801894-5 1.270380+7 3.815000-5 1.308073+7 3.850000-5 1.415910+7 3.900000-5 1.587654+7 3.920000-5 1.662816+7 3.935501-5 1.721886+7 3.950000-5 1.778996+7 4.000000-5 1.992234+7 4.050000-5 2.224032+7 4.073803-5 2.338738+7 4.110000-5 2.524077+7 4.120975-5 2.580010+7 4.168694-5 2.837230+7 4.220000-5 3.123294+7 4.265795-5 3.382831+7 4.300000-5 3.576667+7 4.315191-5 3.664713+7 4.365158-5 3.946074+7 4.410000-5 4.189603+7 4.420000-5 4.241680+7 4.450000-5 4.397307+7 4.472100-5 4.505422+7 4.500000-5 4.641096+7 4.518559-5 4.725091+7 4.520000-5 4.731687+7 4.540000-5 4.820000+7 4.570882-5 4.945885+7 4.590000-5 5.021561+7 4.610000-5 5.093438+7 4.630000-5 5.162447+7 4.650000-5 5.224482+7 4.677351-5 5.303517+7 4.680000-5 5.311265+7 4.700000-5 5.361129+7 4.740000-5 5.451821+7 4.786301-5 5.526143+7 4.800000-5 5.545019+7 4.820000-5 5.564764+7 4.850000-5 5.587624+7 4.860000-5 5.595416+7 4.870000-5 5.600636+7 4.897788-5 5.606722+7 4.900000-5 5.607233+7 4.920000-5 5.605938+7 4.954502-5 5.594738+7 5.000000-5 5.567687+7 5.011872-5 5.554244+7 5.060000-5 5.500937+7 5.080000-5 5.473989+7 5.110000-5 5.427372+7 5.170000-5 5.323031+7 5.188000-5 5.288618+7 5.190000-5 5.284817+7 5.230000-5 5.202519+7 5.248075-5 5.162398+7 5.308844-5 5.030905+7 5.400000-5 4.815254+7 5.450000-5 4.695128+7 5.500000-5 4.574421+7 5.623413-5 4.280390+7 5.650000-5 4.217965+7 5.688529-5 4.127080+7 5.800000-5 3.878253+7 5.821032-5 3.832193+7 5.888437-5 3.689304+7 5.900000-5 3.665493+7 6.025596-5 3.413928+7 6.165950-5 3.153510+7 6.300000-5 2.923554+7 6.309573-5 2.907970+7 6.456542-5 2.677682+7 6.606934-5 2.460999+7 6.650000-5 2.402068+7 6.760830-5 2.258453+7 6.918310-5 2.068541+7 7.079458-5 1.891570+7 7.161434-5 1.807149+7 7.244360-5 1.726515+7 7.413102-5 1.573311+7 7.585776-5 1.431267+7 7.673615-5 1.364086+7 7.800000-5 1.274163+7 8.000000-5 1.144498+7 8.222426-5 1.017437+7 8.317638-5 9.684153+6 8.511380-5 8.763083+6 8.609938-5 8.331858+6 8.810489-5 7.532295+6 9.015711-5 6.809940+6 9.300000-5 5.937139+6 9.500000-5 5.401218+6 9.660509-5 5.013774+6 9.746000-5 4.821375+6 9.746000-5 5.767639+6 9.795000-5 5.680620+6 9.800000-5 5.671371+6 9.870000-5 5.545109+6 9.930000-5 5.435247+6 1.000000-4 5.305944+6 1.007000-4 5.175139+6 1.015900-4 5.009560+6 1.020000-4 4.933231+6 1.025000-4 4.842341+6 1.035142-4 4.660066+6 1.047129-4 4.451152+6 1.050000-4 4.402633+6 1.071519-4 4.052212+6 1.083927-4 3.863369+6 1.096478-4 3.682091+6 1.100000-4 3.633197+6 1.135011-4 3.185626+6 1.161449-4 2.890994+6 1.174898-4 2.753114+6 1.190000-4 2.608150+6 1.216186-4 2.379072+6 1.220000-4 2.347603+6 1.231200-4 2.258967+6 1.231200-4 2.698355+6 1.236000-4 2.685105+6 1.239500-4 2.673576+6 1.243000-4 2.660872+6 1.244515-4 2.654588+6 1.247000-4 2.644357+6 1.252000-4 2.621430+6 1.257000-4 2.596042+6 1.260000-4 2.579637+6 1.262000-4 2.568866+6 1.267000-4 2.540030+6 1.274000-4 2.497314+6 1.280000-4 2.458774+6 1.282000-4 2.446284+6 1.289000-4 2.400794+6 1.300000-4 2.328238+6 1.303167-4 2.306892+6 1.315000-4 2.228919+6 1.333521-4 2.109515+6 1.350000-4 2.008702+6 1.364583-4 1.924739+6 1.380384-4 1.838061+6 1.400000-4 1.738462+6 1.430000-4 1.599131+6 1.445440-4 1.533914+6 1.462177-4 1.467222+6 1.470000-4 1.437401+6 1.480000-4 1.400790+6 1.496236-4 1.344689+6 1.540000-4 1.209089+6 1.548817-4 1.184411+6 1.566751-4 1.136707+6 1.584893-4 1.091617+6 1.600000-4 1.056168+6 1.603245-4 1.048770+6 1.621810-4 1.008375+6 1.659587-4 9.337470+5 1.668600-4 9.173446+5 1.668600-4 9.711760+5 1.678804-4 9.537273+5 1.681700-4 9.490061+5 1.681700-4 1.071273+6 1.682300-4 1.072447+6 1.685000-4 1.075885+6 1.688000-4 1.079175+6 1.690000-4 1.081067+6 1.690500-4 1.081563+6 1.694000-4 1.084355+6 1.697500-4 1.086436+6 1.701000-4 1.087941+6 1.704500-4 1.088830+6 1.708200-4 1.089113+6 1.712000-4 1.088779+6 1.716000-4 1.087794+6 1.718000-4 1.086898+6 1.720000-4 1.086020+6 1.722000-4 1.085247+6 1.727000-4 1.082318+6 1.733000-4 1.077858+6 1.738700-4 1.072721+6 1.738700-4 1.165419+6 1.739300-4 1.166547+6 1.740000-4 1.167418+6 1.742000-4 1.169696+6 1.745000-4 1.172687+6 1.748000-4 1.175273+6 1.748300-4 1.175479+6 1.751000-4 1.177034+6 1.755000-4 1.178752+6 1.757924-4 1.179569+6 1.758000-4 1.179592+6 1.760000-4 1.179533+6 1.762000-4 1.179616+6 1.766000-4 1.179143+6 1.770000-4 1.178148+6 1.775000-4 1.175637+6 1.778279-4 1.173460+6 1.780000-4 1.172357+6 1.781000-4 1.171739+6 1.785000-4 1.168628+6 1.787000-4 1.166936+6 1.793000-4 1.161123+6 1.800000-4 1.153677+6 1.810000-4 1.142024+6 1.819701-4 1.130230+6 1.820000-4 1.129870+6 1.835000-4 1.110947+6 1.840772-4 1.103432+6 1.842000-4 1.101851+6 1.850000-4 1.091979+6 1.862087-4 1.077591+6 1.865000-4 1.074221+6 1.883649-4 1.054242+6 1.885000-4 1.052841+6 1.890000-4 1.048042+6 1.905461-4 1.034150+6 1.910000-4 1.030480+6 1.922000-4 1.021447+6 1.930000-4 1.016124+6 1.933000-4 1.014223+6 1.940000-4 1.010219+6 1.950000-4 1.005359+6 1.955000-4 1.002988+6 1.957000-4 1.002157+6 1.972423-4 9.970122+5 1.973000-4 9.968680+5 1.980000-4 9.956262+5 1.990000-4 9.942361+5 1.992000-4 9.941172+5 2.000000-4 9.941558+5 2.010000-4 9.944171+5 2.018366-4 9.958338+5 2.020000-4 9.961562+5 2.030000-4 9.983567+5 2.050000-4 1.005898+6 2.051300-4 1.006505+6 2.065380-4 1.014152+6 2.070000-4 1.016914+6 2.075000-4 1.020210+6 2.089296-4 1.030986+6 2.090000-4 1.031543+6 2.100000-4 1.040136+6 2.113489-4 1.053198+6 2.135000-4 1.077391+6 2.142000-4 1.086150+6 2.162719-4 1.114556+6 2.170000-4 1.125248+6 2.205000-4 1.184625+6 2.213095-4 1.199834+6 2.220000-4 1.213297+6 2.238721-4 1.252312+6 2.242500-4 1.260542+6 2.264644-4 1.311918+6 2.300000-4 1.402996+6 2.317395-4 1.452119+6 2.330000-4 1.489563+6 2.344229-4 1.532861+6 2.371374-4 1.620818+6 2.380000-4 1.650356+6 2.400000-4 1.719465+6 2.426610-4 1.816228+6 2.430000-4 1.828624+6 2.449500-4 1.902217+6 2.450000-4 1.904155+6 2.465000-4 1.962256+6 2.483133-4 2.032881+6 2.490000-4 2.060480+6 2.500000-4 2.100677+6 2.511886-4 2.147859+6 2.520000-4 2.180816+6 2.540973-4 2.266774+6 2.560000-4 2.344770+6 2.570396-4 2.387428+6 2.580000-4 2.427644+6 2.600160-4 2.511124+6 2.620000-4 2.594023+6 2.635000-4 2.655840+6 2.650000-4 2.717592+6 2.660725-4 2.762665+6 2.670000-4 2.802257+6 2.722701-4 3.019195+6 2.730000-4 3.048044+6 2.754229-4 3.145785+6 2.770000-4 3.211054+6 2.818383-4 3.401840+6 2.830000-4 3.447805+6 2.851018-4 3.527571+6 2.884032-4 3.652393+6 2.900000-4 3.710922+6 2.917427-4 3.773192+6 2.930000-4 3.818655+6 2.951209-4 3.891966+6 2.985383-4 4.007302+6 3.000000-4 4.053932+6 3.050000-4 4.208875+6 3.054921-4 4.223250+6 3.090295-4 4.322300+6 3.100000-4 4.349748+6 3.126079-4 4.414750+6 3.162278-4 4.506039+6 3.200000-4 4.586661+6 3.235937-4 4.664071+6 3.240000-4 4.672158+6 3.280000-4 4.743004+6 3.311311-4 4.798809+6 3.320000-4 4.812996+6 3.350000-4 4.856588+6 3.390000-4 4.914812+6 3.427678-4 4.958610+6 3.430000-4 4.961306+6 3.464100-4 5.000807+6 3.470000-4 5.007651+6 3.548134-4 5.077315+6 3.550000-4 5.078973+6 3.589219-4 5.103075+6 3.600000-4 5.109685+6 3.630781-4 5.128484+6 3.650000-4 5.140145+6 3.672823-4 5.147243+6 3.758374-4 5.173540+6 3.850000-4 5.177841+6 3.890451-4 5.169382+6 3.930000-4 5.161224+6 3.981072-4 5.150770+6 4.073803-4 5.108996+6 4.120975-4 5.088072+6 4.168694-4 5.056794+6 4.216965-4 5.025647+6 4.265795-4 4.994731+6 4.280000-4 4.985841+6 4.315191-4 4.957201+6 4.350000-4 4.929245+6 4.406100-4 4.884846+6 4.406100-4 5.001820+6 4.430000-4 4.996284+6 4.450000-4 4.992809+6 4.466836-4 4.986853+6 4.535000-4 4.955750+6 4.620000-4 4.916365+6 4.623810-4 4.914567+6 4.649500-4 4.899429+6 4.649500-4 4.982606+6 4.650000-4 4.982442+6 4.665000-4 4.975465+6 4.677351-4 4.969560+6 4.700000-4 4.959269+6 4.731513-4 4.946066+6 4.755000-4 4.934749+6 4.760000-4 4.932077+6 4.841724-4 4.883992+6 4.850000-4 4.878849+6 4.930000-4 4.820553+6 4.940000-4 4.813310+6 4.954502-4 4.802479+6 5.011872-4 4.757961+6 5.080000-4 4.707313+6 5.100000-4 4.690667+6 5.120000-4 4.673745+6 5.128614-4 4.666263+6 5.188000-4 4.616505+6 5.190000-4 4.614862+6 5.230000-4 4.581627+6 5.260000-4 4.556001+6 5.300000-4 4.521920+6 5.308844-4 4.514459+6 5.350000-4 4.475624+6 5.370318-4 4.457158+6 5.432503-4 4.400292+6 5.559043-4 4.288176+6 5.623413-4 4.233218+6 5.650000-4 4.209012+6 5.688529-4 4.174175+6 5.720000-4 4.146127+6 5.754399-4 4.115700+6 5.888437-4 4.001857+6 5.900000-4 3.992372+6 5.956621-4 3.942782+6 6.025596-4 3.883424+6 6.100000-4 3.821093+6 6.165950-4 3.767571+6 6.237348-4 3.710581+6 6.280000-4 3.674930+6 6.382635-4 3.591305+6 6.456542-4 3.532803+6 6.500000-4 3.499308+6 6.531306-4 3.475344+6 6.606934-4 3.418707+6 6.683439-4 3.360217+6 6.691600-4 3.354096+6 6.691600-4 3.551590+6 6.700000-4 3.545211+6 6.760830-4 3.499143+6 6.780000-4 3.484876+6 6.839116-4 3.441352+6 7.000000-4 3.328253+6 7.079458-4 3.271372+6 7.190000-4 3.195241+6 7.300000-4 3.122597+6 7.328245-4 3.104090+6 7.413102-4 3.049044+6 7.500000-4 2.992076+6 7.585776-4 2.937719+6 7.650000-4 2.898379+6 7.673615-4 2.884041+6 7.852356-4 2.778295+6 7.943282-4 2.725120+6 7.994300-4 2.695903+6 7.994300-4 2.732262+6 8.035261-4 2.709218+6 8.100000-4 2.673250+6 8.128305-4 2.657615+6 8.222426-4 2.606761+6 8.317638-4 2.557096+6 8.413951-4 2.508544+6 8.500000-4 2.465607+6 8.511380-4 2.459909+6 8.709636-4 2.363086+6 8.810489-4 2.316212+6 8.912509-4 2.270166+6 9.000000-4 2.231886+6 9.015711-4 2.225060+6 9.120108-4 2.179978+6 9.225714-4 2.135097+6 9.234300-4 2.131484+6 9.234300-4 2.173365+6 9.332543-4 2.132509+6 9.549926-4 2.046761+6 9.660509-4 2.004955+6 9.700000-4 1.990368+6 9.772372-4 1.963756+6 9.885531-4 1.923094+6 1.000000-3 1.882851+6 1.011579-3 1.843605+6 1.015000-3 1.832280+6 1.035142-3 1.767118+6 1.047129-3 1.729975+6 1.059254-3 1.693362+6 1.060990-3 1.688202+6 1.071519-3 1.657451+6 1.083927-3 1.621512+6 1.096478-3 1.586367+6 1.109175-3 1.551844+6 1.122018-3 1.518193+6 1.135011-3 1.485385+6 1.148154-3 1.452766+6 1.150000-3 1.448278+6 1.161449-3 1.420948+6 1.188502-3 1.358449+6 1.202264-3 1.328390+6 1.216186-3 1.298973+6 1.230269-3 1.270051+6 1.244515-3 1.241632+6 1.270000-3 1.193021+6 1.273503-3 1.186506+6 1.303167-3 1.133488+6 1.318257-3 1.107671+6 1.333521-3 1.082481+6 1.364583-3 1.033322+6 1.380384-3 1.009657+6 1.396368-3 9.863755+5 1.400000-3 9.811581+5 1.412538-3 9.634617+5 1.428894-3 9.411441+5 1.462177-3 8.979039+5 1.496236-3 8.566274+5 1.500000-3 8.522473+5 1.513561-3 8.365507+5 1.531087-3 8.167702+5 1.603245-3 7.422210+5 1.610000-3 7.357629+5 1.621810-3 7.246721+5 1.640590-3 7.074097+5 1.650000-3 6.989654+5 1.659587-3 6.905139+5 1.678804-3 6.739474+5 1.717908-3 6.418515+5 1.737801-3 6.264435+5 1.757924-3 6.114437+5 1.778279-3 5.967104+5 1.798871-3 5.821517+5 1.840772-3 5.541819+5 1.862087-3 5.406708+5 1.905461-3 5.146517+5 1.927525-3 5.020470+5 1.950000-3 4.895964+5 1.972423-3 4.775982+5 2.000000-3 4.634520+5 2.018366-3 4.543885+5 2.065380-3 4.322605+5 2.070000-3 4.301775+5 2.089296-3 4.215299+5 2.113489-3 4.110467+5 2.150000-3 3.958731+5 2.162719-3 3.907615+5 2.213095-3 3.714644+5 2.238721-3 3.622008+5 2.264644-3 3.531895+5 2.290868-3 3.442987+5 2.300000-3 3.412829+5 2.317395-3 3.356152+5 2.371374-3 3.188943+5 2.398833-3 3.108318+5 2.400000-3 3.104961+5 2.426610-3 3.029618+5 2.454709-3 2.953001+5 2.500000-3 2.834666+5 2.511886-3 2.804796+5 2.540973-3 2.733128+5 2.586000-3 2.627118+5 2.586000-3 6.727644+5 2.600160-3 6.647998+5 2.623500-3 6.519709+5 2.625000-3 6.502253+5 2.630268-3 6.476046+5 2.660725-3 6.327416+5 2.691535-3 6.182299+5 2.698000-3 6.152345+5 2.698000-3 9.045485+5 2.722701-3 8.852440+5 2.738000-3 8.735761+5 2.745000-3 8.679050+5 2.786121-3 8.373969+5 2.800000-3 8.274611+5 2.820000-3 8.145794+5 2.851018-3 7.945627+5 2.855000-3 7.920447+5 2.900000-3 7.643606+5 2.917427-3 7.546388+5 2.951209-3 7.329104+5 3.000000-3 7.033192+5 3.019952-3 6.916888+5 3.054921-3 6.719183+5 3.090295-3 6.527232+5 3.126079-3 6.338303+5 3.166900-3 6.132039+5 3.166900-3 7.097916+5 3.198895-3 6.940542+5 3.228000-3 6.802010+5 3.235937-3 6.761845+5 3.300000-3 6.446023+5 3.349654-3 6.215446+5 3.388442-3 6.043549+5 3.400000-3 5.993637+5 3.427678-3 5.876421+5 3.467369-3 5.712785+5 3.507519-3 5.553868+5 3.548134-3 5.399023+5 3.589219-3 5.248388+5 3.650000-3 5.034146+5 3.672823-3 4.956859+5 3.692700-3 4.890898+5 3.692700-3 5.189906+5 3.800000-3 4.848440+5 3.801894-3 4.842679+5 3.820000-3 4.788002+5 3.845918-3 4.710525+5 3.900000-3 4.553628+5 3.935501-3 4.454612+5 3.973900-3 4.351014+5 3.973900-3 4.536923+5 4.000000-3 4.467044+5 4.005000-3 4.453726+5 4.027170-3 4.395384+5 4.073803-3 4.276128+5 4.168694-3 4.046585+5 4.216965-3 3.936776+5 4.265795-3 3.829452+5 4.300000-3 3.756796+5 4.315191-3 3.725172+5 4.365158-3 3.623227+5 4.415704-3 3.524087+5 4.466836-3 3.426932+5 4.518559-3 3.332531+5 4.650000-3 3.108464+5 4.677351-3 3.064444+5 4.731513-3 2.979953+5 4.800000-3 2.877772+5 4.841724-3 2.817879+5 4.897788-3 2.740214+5 4.900000-3 2.737212+5 4.954502-3 2.664223+5 5.000000-3 2.605408+5 5.044660-3 2.549160+5 5.128614-3 2.448126+5 5.188000-3 2.379770+5 5.248075-3 2.313325+5 5.308844-3 2.248846+5 5.370318-3 2.185879+5 5.432503-3 2.124718+5 5.495409-3 2.065194+5 5.500000-3 2.060946+5 5.559043-3 2.006922+5 5.623413-3 1.950295+5 5.650000-3 1.927439+5 5.688529-3 1.894893+5 5.821032-3 1.788881+5 6.000000-3 1.658508+5 6.025596-3 1.641004+5 6.095369-3 1.594607+5 6.165950-3 1.549542+5 6.237348-3 1.505668+5 6.309573-3 1.463102+5 6.382635-3 1.421751+5 6.456542-3 1.381639+5 6.531306-3 1.342721+5 6.606934-3 1.304801+5 6.683439-3 1.267911+5 6.760830-3 1.231444+5 6.800000-3 1.213563+5 6.839116-3 1.196070+5 6.918310-3 1.161727+5 7.079458-3 1.096138+5 7.161434-3 1.064772+5 7.244360-3 1.034330+5 7.300000-3 1.014485+5 7.328245-3 1.004580+5 7.413102-3 9.754974+4 7.673615-3 8.934700+4 7.762471-3 8.676382+4 7.943282-3 8.183159+4 8.000000-3 8.036810+4 8.035261-3 7.947727+4 8.128305-3 7.719410+4 8.222426-3 7.497999+4 8.317638-3 7.282344+4 8.413951-3 7.072731+4 8.500000-3 6.892778+4 8.511380-3 6.869339+4 8.609938-3 6.669636+4 8.709636-3 6.475080+4 8.810489-3 6.285832+4 8.912509-3 6.102415+4 9.015711-3 5.924622+4 9.225714-3 5.585205+4 9.332543-3 5.423215+4 9.549926-3 5.112111+4 9.660509-3 4.962980+4 9.772372-3 4.817970+4 9.800000-3 4.783095+4 9.885531-3 4.677207+4 1.000000-2 4.540165+4 1.023293-2 4.278606+4 1.035142-2 4.153764+4 1.040000-2 4.104092+4 1.047129-2 4.032436+4 1.050000-2 4.004083+4 1.071519-2 3.800260+4 1.083927-2 3.688708+4 1.096478-2 3.580463+4 1.109175-2 3.474786+4 1.122018-2 3.372318+4 1.135011-2 3.272729+4 1.161449-2 3.082726+4 1.174898-2 2.992095+4 1.188502-2 2.904193+4 1.202264-2 2.818988+4 1.216186-2 2.735707+4 1.230269-2 2.654967+4 1.244515-2 2.576658+4 1.258925-2 2.500677+4 1.288250-2 2.355026+4 1.303167-2 2.285383+4 1.318257-2 2.217847+4 1.333521-2 2.152159+4 1.342500-2 2.114728+4 1.342500-2 5.277842+4 1.350000-2 5.205538+4 1.360000-2 5.111067+4 1.364583-2 5.064048+4 1.380384-2 4.906439+4 1.412538-2 4.612684+4 1.428894-2 4.472515+4 1.445440-2 4.336625+4 1.462177-2 4.204913+4 1.479108-2 4.077118+4 1.496236-2 3.953149+4 1.500000-2 3.926611+4 1.513561-2 3.832945+4 1.548817-2 3.599837+4 1.566751-2 3.488505+4 1.576800-2 3.428183+4 1.576800-2 4.781542+4 1.584893-2 4.724624+4 1.591000-2 4.682334+4 1.603245-2 4.588040+4 1.621810-2 4.450039+4 1.637600-2 4.337143+4 1.637600-2 5.012761+4 1.659587-2 4.847294+4 1.678804-2 4.708919+4 1.710000-2 4.495752+4 1.717908-2 4.443599+4 1.720000-2 4.429946+4 1.737801-2 4.315041+4 1.757924-2 4.189984+4 1.760000-2 4.177367+4 1.778279-2 4.069742+4 1.798871-2 3.953173+4 1.800000-2 3.946894+4 1.819701-2 3.839543+4 1.840772-2 3.728247+4 1.850000-2 3.680937+4 1.862087-2 3.619625+4 1.883649-2 3.513787+4 1.905461-2 3.411114+4 1.972423-2 3.120677+4 1.995262-2 3.029494+4 2.018366-2 2.941420+4 2.065380-2 2.771923+4 2.089296-2 2.690948+4 2.113489-2 2.612341+4 2.137962-2 2.535567+4 2.162719-2 2.461112+4 2.213095-2 2.317905+4 2.264644-2 2.183076+4 2.290868-2 2.118624+4 2.317395-2 2.056130+4 2.344229-2 1.995529+4 2.371374-2 1.936187+4 2.398833-2 1.878655+4 2.426610-2 1.822864+4 2.454709-2 1.768768+4 2.483133-2 1.716312+4 2.500000-2 1.686207+4 2.511886-2 1.665420+4 2.540973-2 1.616048+4 2.600160-2 1.520799+4 2.660725-2 1.430681+4 2.691535-2 1.387694+4 2.722701-2 1.346020+4 2.754229-2 1.305627+4 2.786121-2 1.266477+4 2.818383-2 1.228521+4 2.851018-2 1.191732+4 2.900000-2 1.139349+4 2.917427-2 1.121477+4 2.951209-2 1.087933+4 2.985383-2 1.055388+4 3.000000-2 1.041787+4 3.019952-2 1.023616+4 3.090295-2 9.629070+3 3.126079-2 9.339362+3 3.162278-2 9.058591+3 3.198895-2 8.786485+3 3.235937-2 8.522692+3 3.273407-2 8.263348+3 3.311311-2 8.012093+3 3.349654-2 7.768469+3 3.467369-2 7.082048+3 3.507519-2 6.867097+3 3.548134-2 6.658602+3 3.589219-2 6.456544+3 3.630781-2 6.260748+3 3.672823-2 6.071027+3 3.715352-2 5.887172+3 3.758374-2 5.708448+3 3.801894-2 5.534397+3 3.845918-2 5.365648+3 4.000000-2 4.828547+3 4.027170-2 4.741695+3 4.073803-2 4.596755+3 4.120975-2 4.456228+3 4.168694-2 4.320040+3 4.216965-2 4.187233+3 4.265795-2 4.058601+3 4.315191-2 3.933994+3 4.365158-2 3.813279+3 4.415704-2 3.696346+3 4.466836-2 3.582991+3 4.570882-2 3.366810+3 4.677351-2 3.163966+3 4.731513-2 3.066816+3 4.786301-2 2.972721+3 4.800000-2 2.949818+3 4.841724-2 2.881486+3 4.872880-2 2.831886+3 4.897788-2 2.793082+3 4.954502-2 2.707427+3 5.011872-2 2.624141+3 5.069907-2 2.542927+3 5.128614-2 2.464258+3 5.188000-2 2.388075+3 5.248075-2 2.314240+3 5.500000-2 2.036852+3 5.559043-2 1.978529+3 5.623413-2 1.917556+3 5.754399-2 1.801154+3 5.821032-2 1.745685+3 5.888437-2 1.691792+3 6.000000-2 1.607098+3 6.025596-2 1.588499+3 6.095369-2 1.539277+3 6.165950-2 1.491466+3 6.309573-2 1.400280+3 6.382635-2 1.356842+3 6.456542-2 1.314778+3 6.531306-2 1.274045+3 6.683439-2 1.196346+3 6.839116-2 1.123021+3 7.000000-2 1.053617+3 7.161434-2 9.897857+2 7.328245-2 9.293178+2 7.413102-2 9.004404+2 7.500000-2 8.721392+2 7.673615-2 8.191445+2 7.762471-2 7.936799+2 7.943282-2 7.448702+2 8.035261-2 7.216079+2 8.222426-2 6.772217+2 8.413951-2 6.356121+2 8.511380-2 6.157924+2 8.810489-2 5.600088+2 9.083200-2 5.150580+2 9.083200-2 2.404742+3 9.120108-2 2.379515+3 9.154000-2 2.356642+3 9.200000-2 2.326083+3 9.225714-2 2.311326+3 9.250000-2 2.297514+3 9.332543-2 2.242610+3 9.440609-2 2.182318+3 9.450000-2 2.177189+3 9.500000-2 2.146901+3 9.549926-2 2.117227+3 9.730000-2 2.014771+3 9.772372-2 1.993069+3 9.885531-2 1.936697+3 1.000000-1 1.881930+3 1.011580-1 1.828715+3 1.035142-1 1.721991+3 1.047129-1 1.670994+3 1.083927-1 1.526932+3 1.096478-1 1.481685+3 1.109175-1 1.437783+3 1.135011-1 1.353859+3 1.148154-1 1.313759+3 1.150000-1 1.308259+3 1.161449-1 1.275083+3 1.174898-1 1.237586+3 1.202264-1 1.165869+3 1.230269-1 1.098320+3 1.244515-1 1.066032+3 1.273503-1 1.004289+3 1.288250-1 9.742036+2 1.318257-1 9.167204+2 1.364583-1 8.367306+2 1.380384-1 8.116544+2 1.462177-1 6.971357+2 1.479108-1 6.762550+2 1.496236-1 6.560005+2 1.531088-1 6.172996+2 1.566751-1 5.809132+2 1.584893-1 5.635325+2 1.621810-1 5.303193+2 1.659587-1 4.990686+2 1.678804-1 4.841428+2 1.698244-1 4.696643+2 1.717908-1 4.556153+2 1.737801-1 4.419868+2 1.757924-1 4.287669+2 1.778279-1 4.159451+2 1.798871-1 4.035069+2 1.819701-1 3.914419+2 1.840772-1 3.797396+2 1.862087-1 3.683882+2 1.883649-1 3.573812+2 1.895000-1 3.517687+2 1.905461-1 3.467036+2 1.927525-1 3.363510+2 1.949845-1 3.263081+2 1.972423-1 3.165658+2 2.000000-1 3.052036+2 2.018366-1 2.979466+2 2.113489-1 2.639338+2 2.137962-1 2.560568+2 2.187762-1 2.410022+2 2.213095-1 2.338117+2 2.238721-1 2.268362+2 2.264644-1 2.200722+2 2.290868-1 2.135101+2 2.317395-1 2.071452+2 2.344229-1 2.009737+2 2.371374-1 1.949863+2 2.426610-1 1.835424+2 2.454709-1 1.780752+2 2.483133-1 1.728277+2 2.511886-1 1.677355+2 2.540973-1 1.627935+2 2.570396-1 1.579974+2 2.600160-1 1.533433+2 2.630268-1 1.488289+2 2.660725-1 1.444478+2 2.691535-1 1.402005+2 2.722701-1 1.360785+2 2.786121-1 1.282028+2 2.851018-1 1.207841+2 2.884032-1 1.172375+2 2.917427-1 1.137953+2 2.951209-1 1.104545+2 2.985383-1 1.072561+2 3.000000-1 1.059274+2 3.000060-1 1.059220+2 3.019952-1 1.041503+2 3.054921-1 1.011345+2 3.090295-1 9.820615+1 3.126079-1 9.536271+1 3.162278-1 9.260335+1 3.235937-1 8.732292+1 3.273407-1 8.479689+1 3.311311-1 8.234779+1 3.349654-1 7.997057+1 3.427678-1 7.542290+1 3.467369-1 7.328423+1 3.507519-1 7.120632+1 3.548134-1 6.918740+1 3.589219-1 6.722589+1 3.630781-1 6.532120+1 3.672823-1 6.347087+1 3.715352-1 6.167300+1 3.758374-1 5.992610+1 3.801894-1 5.822958+1 3.845918-1 5.658133+1 3.890451-1 5.498255+1 3.935501-1 5.342900+1 3.981072-1 5.194651+1 4.027170-1 5.050523+1 4.073803-1 4.910396+1 4.120975-1 4.774258+1 4.168694-1 4.641897+1 4.216965-1 4.513232+1 4.265795-1 4.388197+1 4.365158-1 4.148464+1 4.415705-1 4.033561+1 4.466836-1 3.921846+1 4.518559-1 3.813440+1 4.570882-1 3.710073+1 4.623810-1 3.609571+1 4.677351-1 3.511866+1 4.731513-1 3.416852+1 4.786301-1 3.324428+1 4.841724-1 3.234517+1 4.897788-1 3.147041+1 4.954502-1 3.061935+1 5.011872-1 2.979134+1 5.128614-1 2.820193+1 5.188000-1 2.745745+1 5.248075-1 2.673356+1 5.308844-1 2.602925+1 5.370318-1 2.534370+1 5.432503-1 2.467623+1 5.495409-1 2.402637+1 5.559043-1 2.339365+1 5.688529-1 2.217780+1 5.754399-1 2.159379+1 5.821032-1 2.102547+1 5.888437-1 2.048452+1 5.956621-1 1.995882+1 6.025596-1 1.944669+1 6.095369-1 1.894812+1 6.237348-1 1.798904+1 6.309573-1 1.752787+1 6.382635-1 1.707853+1 6.456542-1 1.664095+1 6.531306-1 1.621493+1 6.606935-1 1.579991+1 6.683439-1 1.540451+1 6.760830-1 1.502003+1 6.839117-1 1.464516+1 7.079458-1 1.357657+1 7.161434-1 1.323812+1 7.244360-1 1.290836+1 7.328245-1 1.258686+1 7.413102-1 1.227339+1 7.498942-1 1.196780+1 7.585776-1 1.167686+1 7.673615-1 1.139364+1 7.762471-1 1.111731+1 7.852356-1 1.084787+1 8.035261-1 1.032844+1 8.222427-1 9.834564+0 8.226300-1 9.824714+0 8.317638-1 9.596558+0 8.413951-1 9.364326+0 8.511380-1 9.143423+0 8.609938-1 8.928384+0 8.709636-1 8.718457+0 8.810489-1 8.513609+0 9.015711-1 8.118592+0 9.120108-1 7.928014+0 9.225714-1 7.741926+0 9.332543-1 7.560450+0 9.440609-1 7.383353+0 9.549926-1 7.215107+0 9.660509-1 7.051266+0 9.772372-1 6.891147+0 9.885531-1 6.734708+0 1.000000+0 6.582295+0 1.011579+0 6.433379+0 1.023293+0 6.287823+0 1.047129+0 6.006523+0 1.059254+0 5.870661+0 1.071519+0 5.737878+0 1.083927+0 5.608166+0 1.096478+0 5.481518+0 1.109175+0 5.359808+0 1.122018+0 5.240812+0 1.135011+0 5.124446+0 1.148154+0 5.010944+0 1.161449+0 4.900026+0 1.174898+0 4.791580+0 1.188502+0 4.685600+0 1.202264+0 4.582062+0 1.216186+0 4.480807+0 1.230269+0 4.381813+0 1.244515+0 4.285008+0 1.258925+0 4.190368+0 1.273503+0 4.100563+0 1.288250+0 4.013032+0 1.303167+0 3.927374+0 1.318257+0 3.843699+0 1.333521+0 3.761815+0 1.348963+0 3.681669+0 1.364583+0 3.603250+0 1.380384+0 3.526502+0 1.412538+0 3.377895+0 1.428894+0 3.305989+0 1.445440+0 3.237503+0 1.462177+0 3.170663+0 1.479108+0 3.105240+0 1.513561+0 2.978550+0 1.531087+0 2.917157+0 1.548817+0 2.857027+0 1.584893+0 2.740484+0 1.603245+0 2.684008+0 1.621810+0 2.630145+0 1.659587+0 2.525969+0 1.678804+0 2.475486+0 1.698244+0 2.426012+0 1.717908+0 2.377537+0 1.737801+0 2.330082+0 1.778279+0 2.237999+0 1.819701+0 2.149569+0 1.840772+0 2.107724+0 1.862087+0 2.066816+0 1.905461+0 1.987365+0 1.927525+0 1.948826+0 1.949845+0 1.911034+0 1.972423+0 1.873984+0 2.000000+0 1.830311+0 2.044000+0 1.763900+0 2.065380+0 1.733009+0 2.089296+0 1.699460+0 2.113489+0 1.667499+0 2.137962+0 1.636251+0 2.162719+0 1.605588+0 2.187762+0 1.575532+0 2.213095+0 1.546039+0 2.238721+0 1.517105+0 2.264644+0 1.488751+0 2.317395+0 1.433623+0 2.344229+0 1.406835+0 2.371374+0 1.380548+0 2.398833+0 1.355508+0 2.426610+0 1.331011+0 2.454709+0 1.306956+0 2.483133+0 1.283361+0 2.511886+0 1.260192+0 2.540973+0 1.237445+0 2.570396+0 1.215140+0 2.630268+0 1.171728+0 2.660725+0 1.150611+0 2.691535+0 1.129875+0 2.722701+0 1.109513+0 2.754229+0 1.090077+0 2.786121+0 1.071049+0 2.818383+0 1.052352+0 2.851018+0 1.034000+0 2.884032+0 1.015968+0 2.917427+0 9.982545-1 2.951209+0 9.808703-1 3.019952+0 9.470044-1 3.054921+0 9.305129-1 3.090295+0 9.143115-1 3.126079+0 8.983921-1 3.162278+0 8.827498-1 3.235937+0 8.530692-1 3.273407+0 8.386539-1 3.311311+0 8.244931-1 3.349654+0 8.105741-1 3.388442+0 7.968926-1 3.427678+0 7.834594-1 3.507519+0 7.572684-1 3.548134+0 7.445032-1 3.589219+0 7.319557-1 3.630781+0 7.196193-1 3.672823+0 7.074914-1 3.758374+0 6.844733-1 3.801894+0 6.732832-1 3.845918+0 6.622849-1 3.890451+0 6.514687-1 3.935501+0 6.408310-1 4.000000+0 6.261250-1 4.073803+0 6.099886-1 4.120975+0 6.000413-1 4.168694+0 5.902581-1 4.216965+0 5.806345-1 4.265795+0 5.711678-1 4.365158+0 5.531781-1 4.466836+0 5.358100-1 4.518559+0 5.273385-1 4.570882+0 5.190024-1 4.623810+0 5.107999-1 4.677351+0 5.027374-1 4.786301+0 4.869920-1 4.841724+0 4.793053-1 4.897788+0 4.717414-1 4.954502+0 4.642968-1 5.011872+0 4.569699-1 5.128614+0 4.430325-1 5.308844+0 4.229823-1 5.370318+0 4.165076-1 5.432503+0 4.101332-1 5.495409+0 4.038576-1 5.559043+0 3.976858-1 5.688529+0 3.856238-1 5.754399+0 3.797307-1 5.821032+0 3.739287-1 5.888437+0 3.682153-1 5.956621+0 3.625894-1 6.095369+0 3.518854-1 6.309573+0 3.364683-1 6.382635+0 3.314845-1 6.456542+0 3.265756-1 6.531306+0 3.217403-1 6.606934+0 3.169825-1 6.760830+0 3.076768-1 6.839116+0 3.031270-1 6.918310+0 2.986452-1 7.079458+0 2.898795-1 7.161434+0 2.855936-1 7.328245+0 2.774258-1 7.585776+0 2.656467-1 7.673615+0 2.618354-1 7.762471+0 2.580795-1 7.852356+0 2.543782-1 8.000000+0 2.485086-1 8.128305+0 2.436025-1 8.222427+0 2.401130-1 8.317638+0 2.366741-1 8.511380+0 2.299435-1 8.609938+0 2.266504-1 8.810489+0 2.203730-1 8.912509+0 2.173096-1 9.120108+0 2.113100-1 9.225714+0 2.083746-1 9.332543+0 2.054804-1 9.440609+0 2.026270-1 9.660509+0 1.970441-1 9.885531+0 1.916151-1 1.011579+1 1.863357-1 1.023293+1 1.837511-1 1.071519+1 1.737666-1 1.100000+1 1.683235-1 1.122018+1 1.644282-1 1.135011+1 1.622069-1 1.148154+1 1.600228-1 1.161449+1 1.578698-1 1.174898+1 1.557466-1 1.202264+1 1.515905-1 1.216186+1 1.495542-1 1.230269+1 1.475456-1 1.244515+1 1.455639-1 1.318257+1 1.360480-1 1.364583+1 1.306398-1 1.412538+1 1.255560-1 1.428894+1 1.239058-1 1.445440+1 1.222820-1 1.462177+1 1.206807-1 1.479108+1 1.191003-1 1.500000+1 1.172036-1 1.531087+1 1.144869-1 1.548817+1 1.129898-1 1.566751+1 1.115127-1 1.621810+1 1.071959-1 1.640590+1 1.057944-1 1.698244+1 1.016990-1 1.840772+1 9.291698-2 1.883649+1 9.055010-2 1.905461+1 8.939235-2 1.927525+1 8.825014-2 1.949845+1 8.712253-2 1.972423+1 8.600967-2 2.000000+1 8.468771-2 2.018366+1 8.382849-2 2.041738+1 8.275886-2 2.089296+1 8.066042-2 2.113489+1 7.963122-2 2.213095+1 7.564415-2 2.454709+1 6.754181-2 2.511886+1 6.586260-2 2.540973+1 6.504059-2 2.570396+1 6.422930-2 2.600160+1 6.342814-2 2.630268+1 6.263744-2 2.660725+1 6.185702-2 2.691535+1 6.108632-2 2.722701+1 6.032534-2 2.786121+1 5.883169-2 2.818383+1 5.809878-2 3.000000+1 5.427957-2 3.349654+1 4.824374-2 3.467369+1 4.649453-2 3.507519+1 4.592707-2 3.548134+1 4.536655-2 3.589219+1 4.481288-2 3.630781+1 4.426614-2 3.672823+1 4.372619-2 3.715352+1 4.319308-2 3.758374+1 4.266647-2 3.801894+1 4.214628-2 3.845918+1 4.163250-2 3.935501+1 4.062365-2 4.027170+1 3.963926-2 4.265795+1 3.728137-2 4.786301+1 3.304304-2 4.954502+1 3.186813-2 5.000000+1 3.156473-2 5.011872+1 3.148653-2 5.069907+1 3.110961-2 5.128614+1 3.073721-2 5.248075+1 3.000575-2 5.308844+1 2.964668-2 5.370318+1 2.929195-2 5.495409+1 2.859546-2 5.559043+1 2.825345-2 5.623413+1 2.791553-2 5.821032+1 2.692592-2 5.956621+1 2.628576-2 6.165950+1 2.535392-2 6.606934+1 2.358820-2 7.585776+1 2.045700-2 7.852356+1 1.974144-2 7.943282+1 1.950889-2 8.035261+1 1.927917-2 8.128305+1 1.905216-2 8.317638+1 1.860613-2 8.413951+1 1.838712-2 8.609938+1 1.795697-2 8.709636+1 1.774569-2 8.810489+1 1.753689-2 9.015711+1 1.712667-2 9.332543+1 1.652926-2 9.549926+1 1.614262-2 1.071519+2 1.434089-2 1.513561+2 1.008582-2 1.548817+2 9.851899-3 1.584893+2 9.623663-3 1.603245+2 9.511563-3 1.621810+2 9.400768-3 1.640590+2 9.291264-3 1.659587+2 9.183091-3 1.678804+2 9.076182-3 1.698244+2 8.970515-3 1.717908+2 8.866090-3 1.757924+2 8.660862-3 1.778279+2 8.560043-3 1.905461+2 7.979275-3 3.019952+2 5.012100-3 3.090295+2 4.896916-3 3.162278+2 4.784438-3 3.198895+2 4.729180-3 3.235937+2 4.674559-3 3.273407+2 4.620570-3 3.311311+2 4.567217-3 3.349654+2 4.514481-3 3.388442+2 4.462353-3 3.427678+2 4.410830-3 3.507519+2 4.309560-3 3.548134+2 4.259801-3 3.801894+2 3.973080-3 6.025596+2 2.500705-3 6.165950+2 2.443483-3 6.309573+2 2.387592-3 6.382635+2 2.360130-3 6.456542+2 2.332985-3 6.531306+2 2.306152-3 6.606934+2 2.279632-3 6.683439+2 2.253418-3 6.760830+2 2.227505-3 6.839116+2 2.201891-3 6.998420+2 2.151542-3 7.079458+2 2.126802-3 7.585776+2 1.984219-3 4.786301+3 3.137945-4 4.897788+3 3.066434-4 5.011872+3 2.996562-4 5.069907+3 2.962226-4 5.128614+3 2.928284-4 5.188000+3 2.894732-4 5.248075+3 2.861565-4 5.308844+3 2.828779-4 5.370318+3 2.796368-4 5.432503+3 2.764329-4 5.559043+3 2.701348-4 5.623413+3 2.670398-4 1.202264+4 1.248165-4 1.000000+5 1.499959-5 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 6.350000-6 6.350000-6 8.600000-6 6.350000-6 8.600000-6 7.311859-6 1.011579-5 7.411855-6 1.202264-5 7.480927-6 1.531087-5 7.537536-6 1.769000-5 7.557433-6 1.769000-5 9.622559-6 2.065380-5 9.298810-6 2.400000-5 9.022440-6 2.600160-5 8.898174-6 2.917427-5 8.753699-6 3.217000-5 8.668178-6 3.217000-5 2.435150-5 3.311311-5 2.521081-5 3.430000-5 2.652694-5 3.537000-5 2.775461-5 3.537000-5 2.933417-5 3.700000-5 3.050925-5 3.815000-5 3.115916-5 3.950000-5 3.172116-5 4.120975-5 3.219801-5 4.420000-5 3.271074-5 4.820000-5 3.315420-5 5.248075-5 3.335594-5 6.760830-5 3.339001-5 9.746000-5 3.319012-5 9.746000-5 3.842096-5 9.930000-5 3.902759-5 1.015900-4 3.952927-5 1.050000-4 3.996848-5 1.135011-4 4.058278-5 1.231200-4 4.121121-5 1.231200-4 4.539491-5 1.247000-4 4.619401-5 1.267000-4 4.686135-5 1.289000-4 4.730419-5 1.333521-4 4.780943-5 1.668600-4 5.041733-5 1.668600-4 5.290652-5 1.681700-4 5.308676-5 1.681700-4 5.585347-5 1.697500-4 5.689396-5 1.718000-4 5.781105-5 1.738700-4 5.840069-5 1.738700-4 6.013906-5 1.758000-4 6.111094-5 1.781000-4 6.179782-5 1.820000-4 6.240945-5 1.940000-4 6.362679-5 2.020000-4 6.486218-5 2.142000-4 6.738126-5 2.300000-4 7.073395-5 2.400000-4 7.243845-5 2.511886-4 7.382071-5 2.650000-4 7.491814-5 2.851018-4 7.582436-5 3.126079-4 7.642335-5 3.672823-4 7.679582-5 4.406100-4 7.681774-5 4.406100-4 7.825020-5 4.649500-4 7.961118-5 4.649500-4 8.066952-5 4.760000-4 8.145546-5 5.100000-4 8.300766-5 5.650000-4 8.477018-5 6.691600-4 8.773965-5 6.691600-4 9.325147-5 7.673615-4 9.636983-5 7.994300-4 9.729776-5 7.994300-4 9.875509-5 9.234300-4 1.023077-4 9.234300-4 1.048575-4 1.083927-3 1.093032-4 1.303167-3 1.143711-4 1.531087-3 1.187262-4 1.798871-3 1.229872-4 2.150000-3 1.275400-4 2.540973-3 1.316312-4 2.586000-3 1.320533-4 2.586000-3 1.912585-4 2.698000-3 1.918748-4 2.698000-3 2.043823-4 3.166900-3 2.047721-4 3.166900-3 2.193037-4 3.349654-3 2.203402-4 3.692700-3 2.216198-4 3.692700-3 2.291983-4 3.973900-3 2.309321-4 3.973900-3 2.380636-4 5.248075-3 2.465919-4 6.839116-3 2.550201-4 8.810489-3 2.631371-4 1.135011-2 2.711270-4 1.342500-2 2.762954-4 1.342500-2 3.462507-4 1.576800-2 3.477203-4 1.576800-2 3.619938-4 1.637600-2 3.623989-4 1.637600-2 3.890032-4 2.213095-2 3.979726-4 3.019952-2 4.071247-4 4.168694-2 4.167715-4 5.623413-2 4.254302-4 7.673615-2 4.340492-4 9.083200-2 4.384523-4 9.083200-2 3.994583-4 2.290868-1 4.020727-4 6.309573-1 4.035910-4 1.000000+5 4.037967-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.350000-6 0.0 9.746000-5 0.0 9.746000-5 1.09331-10 9.800000-5 1.13605-10 9.870000-5 1.18600-10 9.930000-5 1.22358-10 1.000000-4 1.26200-10 1.007000-4 1.29584-10 1.015900-4 1.33266-10 1.025000-4 1.36436-10 1.035142-4 1.39436-10 1.050000-4 1.43104-10 1.071519-4 1.47470-10 1.100000-4 1.52376-10 1.220000-4 1.71466-10 1.231200-4 1.73470-10 1.231200-4 6.29333-10 1.236000-4 6.56707-10 1.243000-4 6.91440-10 1.247000-4 7.08711-10 1.252000-4 7.28014-10 1.257000-4 7.44688-10 1.262000-4 7.59300-10 1.267000-4 7.71948-10 1.274000-4 7.86710-10 1.282000-4 8.00170-10 1.289000-4 8.09644-10 1.303167-4 8.23572-10 1.315000-4 8.32540-10 1.333521-4 8.42013-10 1.380384-4 8.56237-10 1.496236-4 8.82659-10 1.603245-4 9.02791-10 1.668600-4 9.10349-10 1.668600-4 9.51486-10 1.681700-4 9.54246-10 1.681700-4 2.928712-9 1.682300-4 2.961285-9 1.685000-4 3.080666-9 1.690500-4 3.301635-9 1.694000-4 3.429386-9 1.697500-4 3.545983-9 1.701000-4 3.653536-9 1.704500-4 3.751732-9 1.708200-4 3.845748-9 1.712000-4 3.933067-9 1.718000-4 4.051397-9 1.722000-4 4.123432-9 1.727000-4 4.199718-9 1.733000-4 4.277518-9 1.738700-4 4.338334-9 1.738700-4 4.056692-9 1.751000-4 4.077331-9 1.775000-4 4.092493-9 1.810000-4 4.110918-9 1.842000-4 4.148537-9 1.865000-4 4.190422-9 1.890000-4 4.258286-9 1.910000-4 4.328285-9 1.922000-4 4.377641-9 1.940000-4 4.466876-9 1.957000-4 4.565539-9 1.980000-4 4.722049-9 2.000000-4 4.874307-9 2.030000-4 5.129293-9 2.051300-4 5.329750-9 2.090000-4 5.723054-9 2.142000-4 6.282521-9 2.220000-4 7.136500-9 2.264644-4 7.600374-9 2.317395-4 8.100595-9 2.344229-4 8.328806-9 2.380000-4 8.606085-9 2.430000-4 8.930559-9 2.465000-4 9.119888-9 2.511886-4 9.326148-9 2.560000-4 9.497865-9 2.620000-4 9.671239-9 2.670000-4 9.780592-9 2.770000-4 9.944542-9 2.884032-4 1.006510-8 3.050000-4 1.015044-8 3.350000-4 1.019103-8 3.890451-4 1.017180-8 4.406100-4 1.011936-8 4.406100-4 1.032057-8 4.649500-4 1.049242-8 4.649500-4 1.173896-8 4.760000-4 1.222815-8 4.954502-4 1.280809-8 5.230000-4 1.351927-8 5.754399-4 1.440362-8 6.691600-4 1.592231-8 6.691600-4 2.187662-8 7.328245-4 2.338072-8 7.994300-4 2.476312-8 7.994300-4 2.662545-8 9.000000-4 2.890090-8 9.234300-4 2.942528-8 9.234300-4 3.241180-8 1.047129-3 3.537130-8 1.150000-3 3.762123-8 1.273503-3 4.013331-8 1.428894-3 4.301400-8 1.610000-3 4.603593-8 1.798871-3 4.886948-8 2.018366-3 5.181821-8 2.238721-3 5.449317-8 2.511886-3 5.748415-8 2.586000-3 5.823302-8 2.586000-3 6.538797-8 2.698000-3 6.583795-8 2.698000-3 2.654414-5 2.800000-3 2.575356-5 2.917427-3 2.537293-5 3.126079-3 2.533183-5 3.166900-3 2.530692-5 3.166900-3 2.495503-5 3.692700-3 2.469037-5 3.692700-3 2.735750-5 3.935501-3 2.749708-5 3.973900-3 2.751202-5 3.973900-3 2.787782-5 4.800000-3 2.828976-5 6.531306-3 2.889439-5 8.810489-3 2.946674-5 1.188502-2 3.001412-5 1.342500-2 3.022826-5 1.342500-2 2.455778-3 1.364583-2 2.458086-3 1.576800-2 2.440155-3 1.576800-2 3.508297-3 1.591000-2 3.516760-3 1.637600-2 3.519358-3 1.637600-2 3.664171-3 2.089296-2 3.703136-3 2.754229-2 3.727935-3 4.073803-2 3.745169-3 7.762471-2 3.746056-3 9.083200-2 3.743029-3 9.083200-2 6.413294-2 1.083927-1 6.465727-2 1.380384-1 6.518008-2 2.113489-1 6.575217-2 3.845918-1 6.622015-2 8.810489-1 6.679815-2 1.479108+0 6.687319-2 1.000000+5 6.686647-2 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 6.350000-6 0.0 8.600000-6 2.250000-6 8.600000-6 1.288141-6 9.225714-6 1.865426-6 1.011579-5 2.703935-6 1.150000-5 4.033594-6 1.348963-5 5.976946-6 1.769000-5 1.013257-5 1.769000-5 8.067441-6 2.065380-5 1.135499-5 2.400000-5 1.497756-5 2.851018-5 1.972969-5 3.217000-5 2.350182-5 3.217000-5 7.818503-6 3.250000-5 7.870222-6 3.280000-5 7.897699-6 3.311311-5 7.902303-6 3.365000-5 7.865467-6 3.537000-5 7.615387-6 3.537000-5 6.035833-6 3.600000-5 6.185399-6 3.650000-5 6.324139-6 3.700000-5 6.490750-6 3.740000-5 6.645684-6 3.801894-5 6.924620-6 3.850000-5 7.175729-6 3.920000-5 7.586116-6 4.000000-5 8.116827-6 4.073803-5 8.650951-6 4.168694-5 9.388557-6 4.315191-5 1.059576-5 4.540000-5 1.253372-5 4.800000-5 1.486302-5 5.060000-5 1.730182-5 5.500000-5 2.160964-5 8.222426-5 4.890013-5 9.746000-5 6.426988-5 9.746000-5 5.903893-5 1.000000-4 6.079477-5 1.035142-4 6.370705-5 1.135011-4 7.291816-5 1.231200-4 8.190861-5 1.231200-4 7.772446-5 1.252000-4 7.880589-5 1.282000-4 8.101480-5 1.350000-4 8.705413-5 1.668600-4 1.164418-4 1.668600-4 1.139525-4 1.681700-4 1.150823-4 1.681700-4 1.123136-4 1.708200-4 1.133921-4 1.738700-4 1.154650-4 1.738700-4 1.137269-4 1.766000-4 1.152041-4 1.810000-4 1.187062-4 1.973000-4 1.332167-4 2.113489-4 1.445834-4 2.344229-4 1.628743-4 2.520000-4 1.780892-4 2.770000-4 2.014617-4 3.320000-4 2.553630-4 4.406100-4 3.637821-4 4.406100-4 3.623495-4 4.649500-4 3.853283-4 4.649500-4 3.842687-4 5.432503-4 4.590986-4 6.691600-4 5.814044-4 6.691600-4 5.758867-4 7.994300-4 7.021075-4 7.994300-4 7.006483-4 9.234300-4 8.210929-4 9.234300-4 8.185401-4 1.531087-3 1.412316-3 2.586000-3 2.453888-3 2.586000-3 2.394676-3 2.698000-3 2.506059-3 2.698000-3 2.467074-3 3.166900-3 2.936821-3 3.166900-3 2.922641-3 3.692700-3 3.446390-3 3.692700-3 3.436144-3 3.973900-3 3.715456-3 3.973900-3 3.707959-3 1.342500-2 1.311848-2 1.342500-2 1.062297-2 1.576800-2 1.298012-2 1.576800-2 1.189771-2 1.637600-2 1.249424-2 1.637600-2 1.232283-2 2.917427-2 2.503607-2 9.083200-2 8.665052-2 9.083200-2 2.629960-2 9.549926-2 3.079145-2 1.047129-1 3.973115-2 1.380384-1 7.245758-2 2.426610-1 1.763873-1 2.754229+0 2.686959+0 1.000000+5 9.999993+4 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 9.083200-2 1.889684+3 9.200000-2 1.828828+3 9.250000-2 1.807636+3 9.332543-2 1.764583+3 9.450000-2 1.715354+3 9.730000-2 1.588652+3 1.011580-1 1.445881+3 1.150000-1 1.039298+3 1.273503-1 8.011343+2 2.454709-1 1.439910+2 2.951209-1 8.952121+1 3.427678-1 6.123126+1 3.935501-1 4.344661+1 4.518559-1 3.105825+1 5.128614-1 2.300252+1 5.821032-1 1.717368+1 6.606935-1 1.292325+1 7.498942-1 9.801406+0 8.413951-1 7.679263+0 9.440609-1 6.062187+0 1.096478+0 4.504157+0 1.258925+0 3.443137+0 1.428894+0 2.715919+0 1.603245+0 2.204639+0 1.819701+0 1.765669+0 2.089296+0 1.395971+0 2.371374+0 1.134018+0 2.722701+0 9.113773-1 3.162278+0 7.250939-1 3.672823+0 5.811379-1 4.265795+0 4.691587-1 5.011872+0 3.753552-1 5.956621+0 2.978323-1 7.161434+0 2.345881-1 8.609938+0 1.861721-1 1.100000+1 1.382600-1 1.364583+1 1.073077-1 1.698244+1 8.353139-2 2.213095+1 6.213100-2 3.000000+1 4.458300-2 4.265795+1 3.062147-2 6.606934+1 1.937433-2 1.071519+2 1.177914-2 1.905461+2 6.554390-3 3.801894+2 3.263794-3 7.585776+2 1.629890-3 1.202264+4 1.025348-4 1.000000+5 1.232200-5 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 9.083200-2 3.888300-4 1.000000+5 3.888300-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 9.083200-2 8.059300-2 1.000000+5 8.059300-2 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 9.083200-2 9.850170-3 1.000000+5 9.999992+4 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.637600-2 6.756177+3 1.720000-2 6.227140+3 1.760000-2 5.969300+3 1.850000-2 5.499500+3 1.995262-2 4.791920+3 2.162719-2 4.160481+3 2.344229-2 3.582452+3 2.600160-2 2.940543+3 3.235937-2 1.905599+3 3.715352-2 1.431375+3 4.168694-2 1.123437+3 5.011872-2 7.527051+2 5.888437-2 5.246545+2 6.683439-2 3.926934+2 7.762471-2 2.770587+2 9.120108-2 1.889043+2 1.083927-1 1.243935+2 1.318257-1 7.689721+1 1.698244-1 4.091529+1 2.660725-1 1.330017+1 3.273407-1 7.970706+0 3.845918-1 5.389078+0 4.466836-1 3.772484+0 5.128614-1 2.733070+0 5.888437-1 1.995782+0 6.683439-1 1.506585+0 7.585776-1 1.145390+0 8.511380-1 8.979425-1 9.549926-1 7.091831-1 1.135011+0 5.039043-1 1.273503+0 4.032959-1 1.445440+0 3.183390-1 1.621810+0 2.585940-1 1.840772+0 2.072334-1 2.113489+0 1.639398-1 2.398833+0 1.332650-1 2.754229+0 1.071725-1 3.235937+0 8.385649-2 3.758374+0 6.728509-2 4.365158+0 5.437839-2 5.128614+0 4.355127-2 6.095369+0 3.459164-2 7.328245+0 2.727239-2 8.810489+0 2.166397-2 1.135011+1 1.594491-2 1.428894+1 1.217859-2 1.883649+1 8.897940-3 2.511886+1 6.471860-3 3.467369+1 4.568788-3 4.954502+1 3.131670-3 7.852356+1 1.939900-3 1.548817+2 9.681709-4 3.090295+2 4.813501-4 6.165950+2 2.402628-4 4.897788+3 3.013919-5 1.000000+5 1.475200-6 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.637600-2 5.597900-4 1.000000+5 5.597900-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.637600-2 4.593800-3 1.000000+5 4.593800-3 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.637600-2 1.122241-2 1.000000+5 9.999999+4 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.576800-2 1.353359+4 1.591000-2 1.336972+4 1.710000-2 1.118900+4 1.798871-2 9.842700+3 2.113489-2 6.501100+3 2.344229-2 4.942700+3 2.985383-2 2.566900+3 3.758374-2 1.350300+3 4.677351-2 7.241200+2 5.821032-2 3.844500+2 7.328245-2 1.957900+2 1.531088-1 2.212000+1 1.905461-1 1.164840+1 2.317395-1 6.608584+0 2.722701-1 4.173811+0 3.126079-1 2.833734+0 3.589219-1 1.937890+0 4.073803-1 1.377546+0 4.623810-1 9.865117-1 5.188000-1 7.333572-1 5.821032-1 5.491690-1 6.456542-1 4.261735-1 7.161434-1 3.332993-1 8.035261-1 2.555972-1 9.225714-1 1.876156-1 9.885531-1 1.615604-1 1.083927+0 1.337557-1 1.188502+0 1.115407-1 1.303167+0 9.367079-2 1.462177+0 7.594075-2 1.717908+0 5.701758-2 1.972423+0 4.492350-2 2.238721+0 3.636815-2 2.540973+0 2.966630-2 2.917427+0 2.393827-2 3.388442+0 1.910966-2 3.935501+0 1.536798-2 4.623810+0 1.224919-2 5.495409+0 9.684475-3 6.531306+0 7.715085-3 7.852356+0 6.100298-3 9.440609+0 4.858966-3 1.174898+1 3.735436-3 1.500000+1 2.810600-3 1.972423+1 2.062670-3 2.630268+1 1.502128-3 3.672823+1 1.048599-3 5.370318+1 7.024478-4 8.413951+1 4.409404-4 1.640590+2 2.228697-4 3.273407+2 1.108592-4 6.531306+2 5.534341-5 5.188000+3 6.944355-6 1.000000+5 3.600200-7 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.576800-2 3.981500-4 1.000000+5 3.981500-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.576800-2 6.214000-3 1.000000+5 6.214000-3 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.576800-2 9.155850-3 1.000000+5 9.999999+4 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.342500-2 3.163114+4 1.360000-2 3.066907+4 1.380384-2 2.940520+4 1.513561-2 2.288236+4 1.819701-2 1.368582+4 2.018366-2 1.017760+4 2.540973-2 5.205606+3 3.235937-2 2.526127+3 4.027170-2 1.294926+3 4.954502-2 6.801953+2 6.095369-2 3.541618+2 7.673615-2 1.701022+2 1.531088-1 1.845777+1 1.862087-1 9.891374+0 2.238721-1 5.538892+0 2.600160-1 3.483154+0 2.951209-1 2.368312+0 3.349654-1 1.622329+0 3.758374-1 1.158305+0 4.216965-1 8.331051-1 4.677351-1 6.234999-1 5.188000-1 4.698118-1 5.754399-1 3.566132-1 6.382635-1 2.727626-1 7.079458-1 2.102283-1 8.035261-1 1.539097-1 8.709636-1 1.270757-1 9.332543-1 1.085706-1 9.885531-1 9.577381-2 1.071519+0 8.104817-2 1.174898+0 6.749826-2 1.273503+0 5.787690-2 1.412538+0 4.786350-2 1.717908+0 3.378556-2 1.972423+0 2.661346-2 2.238721+0 2.154210-2 2.540973+0 1.756975-2 2.917427+0 1.417485-2 3.388442+0 1.131539-2 3.935501+0 9.100001-3 4.623810+0 7.253247-3 5.495409+0 5.734453-3 6.531306+0 4.568304-3 7.852356+0 3.612113-3 9.440609+0 2.877130-3 1.174898+1 2.211891-3 1.500000+1 1.664200-3 1.972423+1 1.221351-3 2.600160+1 9.006897-4 3.589219+1 6.363318-4 5.248075+1 4.260709-4 8.317638+1 2.642005-4 1.640590+2 1.319623-4 3.273407+2 6.564261-5 6.531306+2 3.277018-5 5.188000+3 4.111889-6 1.000000+5 2.131800-7 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.342500-2 3.930200-4 1.000000+5 3.930200-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.342500-2 4.077400-3 1.000000+5 4.077400-3 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.342500-2 8.954580-3 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 3.973900-3 1.859086+4 4.315191-3 1.682095+4 4.650000-3 1.517058+4 4.900000-3 1.416166+4 5.128614-3 1.328120+4 6.606934-3 9.067525+3 7.079458-3 8.114325+3 8.709636-3 5.752116+3 9.800000-3 4.681460+3 1.122018-2 3.680586+3 1.333521-2 2.676181+3 1.500000-2 2.141620+3 1.757924-2 1.574795+3 2.089296-2 1.116526+3 2.500000-2 7.736640+2 2.951209-2 5.465161+2 3.467369-2 3.869928+2 4.073803-2 2.720641+2 4.800000-2 1.886964+2 5.623413-2 1.315965+2 6.683439-2 8.816762+1 8.035261-2 5.707701+1 9.500000-2 3.818280+1 1.174898-1 2.270501+1 1.566751-1 1.112632+1 2.722701-1 2.803979+0 3.311311-1 1.731987+0 3.935501-1 1.140329+0 4.570882-1 7.998173-1 5.248075-1 5.804312-1 6.025596-1 4.243329-1 6.839117-1 3.208252-1 7.762471-1 2.442655-1 8.810489-1 1.872361-1 9.885531-1 1.481000-1 1.148154+0 1.102241-1 1.303167+0 8.642854-2 1.479108+0 6.829655-2 1.659587+0 5.555181-2 1.905461+0 4.370427-2 2.162719+0 3.530988-2 2.454709+0 2.874207-2 2.818383+0 2.314407-2 3.273407+0 1.844425-2 3.801894+0 1.480777-2 4.466836+0 1.178318-2 5.308844+0 9.301173-3 6.309573+0 7.398613-3 7.585776+0 5.841671-3 9.120108+0 4.646639-3 1.148154+1 3.519603-3 1.445440+1 2.689229-3 1.905461+1 1.965582-3 2.540973+1 1.430149-3 3.467369+1 1.022367-3 5.000000+1 6.940900-4 7.943282+1 4.289645-4 1.584893+2 2.116348-4 3.162278+2 1.052432-4 6.309573+2 5.253509-5 5.011872+3 6.590759-6 1.000000+5 3.301000-7 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 3.973900-3 4.049700-4 1.000000+5 4.049700-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.973900-3 3.643900-5 1.000000+5 3.643900-5 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 3.973900-3 3.532491-3 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 3.692700-3 2.990079+4 3.820000-3 2.914437+4 4.073803-3 2.704268+4 4.315191-3 2.521287+4 4.518559-3 2.376435+4 4.800000-3 2.184000+4 5.432503-3 1.816828+4 5.821032-3 1.633238+4 6.165950-3 1.489384+4 6.531306-3 1.350668+4 7.673615-3 1.014877+4 8.222426-3 8.925227+3 9.549926-3 6.668932+3 1.040000-2 5.616080+3 1.202264-2 4.145090+3 1.318257-2 3.397340+3 1.513561-2 2.498294+3 1.678804-2 1.970109+3 1.905461-2 1.464263+3 2.213095-2 1.020684+3 2.540973-2 7.250445+2 2.900000-2 5.189520+2 3.311311-2 3.685421+2 3.801894-2 2.562992+2 4.415704-2 1.717190+2 5.188000-2 1.107203+2 6.165950-2 6.866406+1 7.500000-2 3.961220+1 9.549926-2 1.992307+1 1.819701-1 3.126836+0 2.290868-1 1.624418+0 2.722701-1 1.000807+0 3.162278-1 6.621850-1 3.630781-1 4.553532-1 4.168694-1 3.154463-1 4.731513-1 2.269686-1 5.308844-1 1.694212-1 5.956621-1 1.273580-1 6.683439-1 9.644706-2 7.413102-1 7.561246-2 8.413951-1 5.664187-2 9.225714-1 4.623208-2 1.000000+0 3.898125-2 1.096478+0 3.234211-2 1.216186+0 2.642636-2 1.348963+0 2.175258-2 1.548817+0 1.692871-2 1.778279+0 1.326411-2 2.044000+0 1.045296-2 2.317395+0 8.496738-3 2.630268+0 6.943868-3 3.054921+0 5.515148-3 3.548134+0 4.412425-3 4.120975+0 3.556393-3 4.841724+0 2.840872-3 5.754399+0 2.250706-3 6.839116+0 1.796478-3 8.222427+0 1.423079-3 1.011579+1 1.104186-3 1.216186+1 8.862054-4 1.548817+1 6.695636-4 2.018366+1 4.967879-4 2.691535+1 3.619919-4 3.801894+1 2.497551-4 5.623413+1 1.654273-4 8.810489+1 1.039226-4 1.698244+2 5.317413-5 3.388442+2 2.645731-5 6.760830+2 1.320905-5 5.370318+3 1.657727-6 1.000000+5 8.896200-8 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 3.692700-3 3.531600-4 1.000000+5 3.531600-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.692700-3 7.098400-5 1.000000+5 7.098400-5 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.692700-3 3.268556-3 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 3.166900-3 9.658770+4 3.228000-3 9.615560+4 3.507519-3 8.437691+4 3.845918-3 7.261985+4 4.073803-3 6.571574+4 4.900000-3 4.710840+4 5.308844-3 4.052867+4 5.650000-3 3.586180+4 6.683439-3 2.557720+4 7.244360-3 2.158725+4 8.511380-3 1.522524+4 9.332543-3 1.237993+4 1.071519-2 9.009583+3 1.202264-2 6.855388+3 1.350000-2 5.175680+3 1.548817-2 3.675678+3 1.737801-2 2.740133+3 1.972423-2 1.970116+3 2.264644-2 1.363458+3 2.600160-2 9.359990+2 3.019952-2 6.173878+2 3.507519-2 4.037580+2 4.027170-2 2.708928+2 4.677351-2 1.745525+2 5.500000-2 1.076364+2 6.531306-2 6.394119+1 7.943282-2 3.505018+1 1.000000-1 1.712828+1 1.757924-1 2.924789+0 2.187762-1 1.484065+0 2.570396-1 9.064294-1 2.951209-1 5.981385-1 3.349654-1 4.114996-1 3.801894-1 2.852278-1 4.265795-1 2.058847-1 4.786301-1 1.497424-1 5.308844-1 1.132326-1 5.888437-1 8.623132-2 6.531306-1 6.616369-2 7.244360-1 5.114547-2 8.609938-1 3.371850-2 9.225714-1 2.872138-2 9.772372-1 2.527434-2 1.047129+0 2.185341-2 1.135011+0 1.857218-2 1.244515+0 1.554032-2 1.380384+0 1.283631-2 1.698244+0 8.874089-3 1.949845+0 6.985408-3 2.213095+0 5.650055-3 2.511886+0 4.605210-3 2.884032+0 3.713204-3 3.349654+0 2.962549-3 3.890451+0 2.381174-3 4.570882+0 1.896894-3 5.432503+0 1.498934-3 6.456542+0 1.193498-3 7.762471+0 9.432473-4 9.332543+0 7.509755-4 1.161449+1 5.770994-4 1.479108+1 4.352979-4 1.949845+1 3.184197-4 2.600160+1 2.318245-4 3.630781+1 1.617837-4 5.308844+1 1.083515-4 8.413951+1 6.720137-5 1.659587+2 3.357106-5 3.311311+2 1.670088-5 6.606934+2 8.337632-6 5.248075+3 1.046230-6 1.000000+5 5.486900-8 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 3.166900-3 3.115600-4 1.000000+5 3.115600-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.166900-3 2.272100-5 1.000000+5 2.272100-5 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.166900-3 2.832619-3 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.698000-3 2.893140+5 2.738000-3 2.764041+5 2.745000-3 2.738148+5 2.800000-3 2.567532+5 2.951209-3 2.238662+5 3.090295-3 1.993750+5 3.427678-3 1.518746+5 3.800000-3 1.149984+5 4.216965-3 8.624010+4 4.650000-3 6.537480+4 5.128614-3 4.919292+4 5.623413-3 3.748524+4 6.683439-3 2.218815+4 7.300000-3 1.688380+4 8.609938-3 1.002219+4 9.660509-3 6.907275+3 1.096478-2 4.561656+3 1.288250-2 2.660547+3 1.479108-2 1.661134+3 1.659587-2 1.115590+3 1.905461-2 6.873921+2 2.213095-2 4.036588+2 2.600160-2 2.256737+2 3.090295-2 1.200160+2 3.672823-2 6.331779+1 4.466836-2 3.042549+1 5.623413-2 1.273711+1 1.109175-1 9.580265-1 1.380384-1 4.192921-1 1.659587-1 2.105414-1 1.927525-1 1.210904-1 2.238721-1 7.014908-2 2.540973-1 4.452664-2 2.851018-1 2.967134-2 3.126079-1 2.155860-2 3.507519-1 1.457416-2 3.935501-1 9.928433-3 4.415705-1 6.811906-3 4.897788-1 4.888853-3 5.370318-1 3.664844-3 5.888437-1 2.765343-3 6.456542-1 2.100154-3 7.079458-1 1.606442-3 7.673615-1 1.278897-3 8.609938-1 9.279223-4 9.120108-1 7.958430-4 9.549926-1 7.082236-4 1.000000+0 6.344424-4 1.047129+0 5.723195-4 1.109175+0 5.068067-4 1.174898+0 4.519114-4 1.258925+0 3.967651-4 1.364583+0 3.434519-4 1.531087+0 2.813907-4 1.840772+0 2.034330-4 2.065380+0 1.671335-4 2.344229+0 1.356844-4 2.660725+0 1.109436-4 3.090295+0 8.815827-5 3.589219+0 7.057355-5 4.168694+0 5.691334-5 4.897788+0 4.548656-5 5.821032+0 3.605456-5 6.918310+0 2.879170-5 8.317638+0 2.281870-5 1.023293+1 1.771291-5 1.230269+1 1.422093-5 1.548817+1 1.089133-5 2.018366+1 8.080652-6 2.691535+1 5.888058-6 3.758374+1 4.112563-6 5.559043+1 2.723331-6 8.709636+1 1.710520-6 1.678804+2 8.750883-7 3.349654+2 4.353659-7 6.683439+2 2.173601-7 5.308844+3 2.727648-8 1.000000+5 1.447100-9 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.698000-3 2.309800-4 1.000000+5 2.309800-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.698000-3 8.285100-5 1.000000+5 8.285100-5 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.698000-3 2.384169-3 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.586000-3 4.100526+5 2.623500-3 3.976198+5 2.625000-3 3.962003+5 2.820000-3 3.465711+5 2.900000-3 3.273845+5 2.917427-3 3.240327+5 3.235937-3 2.461216+5 3.589219-3 1.855521+5 4.000000-3 1.369890+5 4.415704-3 1.031773+5 5.000000-3 7.156260+4 5.500000-3 5.375742+4 6.683439-3 2.942361+4 7.328245-3 2.196846+4 8.500000-3 1.362162+4 9.885531-3 8.276691+3 1.096478-2 5.844285+3 1.258925-2 3.648337+3 1.462177-2 2.168364+3 1.678804-2 1.330014+3 1.905461-2 8.440359+2 2.162719-2 5.325071+2 2.483133-2 3.200524+2 2.851018-2 1.911403+2 3.349654-2 1.039939+2 4.000000-2 5.277780+1 4.841724-2 2.522074+1 6.025596-2 1.074117+1 1.083927-1 1.071686+0 1.318257-1 5.001931-1 1.566751-1 2.571612-1 1.798871-1 1.519914-1 2.018366-1 9.866204-2 2.290868-1 6.202016-2 2.691535-1 3.464477-2 2.851018-1 2.820229-2 3.126079-1 2.046937-2 3.427678-1 1.495897-2 3.758374-1 1.100591-2 4.168694-1 7.853316-3 4.570882-1 5.859042-3 5.011872-1 4.404202-3 5.495409-1 3.338281-3 6.025596-1 2.549859-3 6.606935-1 1.960211-3 7.161434-1 1.567765-3 7.762471-1 1.262670-3 8.511380-1 9.925501-4 9.015711-1 8.590895-4 9.549926-1 7.486426-4 1.000000+0 6.744142-4 1.059254+0 5.960956-4 1.135011+0 5.179252-4 1.216186+0 4.531073-4 1.333521+0 3.821405-4 1.737801+0 2.390079-4 2.000000+0 1.875534-4 2.264644+0 1.525261-4 2.570396+0 1.244826-4 2.951209+0 1.004956-4 3.427678+0 8.026632-5 4.000000+0 6.415100-5 4.677351+0 5.150860-5 5.559043+0 4.074392-5 6.606934+0 3.247435-5 8.000000+0 2.546100-5 9.660509+0 2.018687-5 1.174898+1 1.595919-5 1.479108+1 1.220289-5 1.949845+1 8.926390-6 2.600160+1 6.498765-6 3.589219+1 4.591305-6 5.248075+1 3.074250-6 8.317638+1 1.906271-6 1.640590+2 9.521907-7 3.273407+2 4.736259-7 6.531306+2 2.364406-7 5.188000+3 2.966820-8 1.000000+5 1.538100-9 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.586000-3 2.291900-4 1.000000+5 2.291900-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.586000-3 6.997200-8 1.000000+5 6.997200-8 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.586000-3 2.356740-3 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 9.234300-4 4.188032+4 1.015000-3 3.955500+4 1.083927-3 3.738186+4 1.318257-3 3.074560+4 1.364583-3 2.959338+4 1.650000-3 2.365440+4 1.778279-3 2.150795+4 2.150000-3 1.667136+4 2.371374-3 1.451244+4 2.800000-3 1.136452+4 3.198895-3 9.261250+3 3.672823-3 7.445124+3 4.365158-3 5.610711+3 5.188000-3 4.188752+3 6.095369-3 3.163018+3 7.161434-3 2.371461+3 8.511380-3 1.728607+3 1.023293-2 1.223634+3 1.216186-2 8.785295+2 1.445440-2 6.265166+2 1.737801-2 4.335260+2 2.065380-2 3.047544+2 2.454709-2 2.126689+2 2.917427-2 1.473539+2 3.467369-2 1.013450+2 4.120975-2 6.919752+1 4.897788-2 4.690547+1 5.821032-2 3.154938+1 7.000000-2 2.050018+1 8.511380-2 1.288012+1 9.772372-2 9.224808+0 1.230269-1 5.242831+0 1.737801-1 2.223564+0 2.722701-1 7.258351-1 3.311311-1 4.484455-1 3.935501-1 2.953079-1 4.570882-1 2.071492-1 5.248075-1 1.503384-1 6.025596-1 1.099088-1 6.839117-1 8.309392-2 7.762471-1 6.326082-2 8.810489-1 4.848603-2 9.885531-1 3.835302-2 1.161449+0 2.791478-2 1.303167+0 2.238295-2 1.479108+0 1.768712-2 1.659587+0 1.438889-2 1.905461+0 1.132016-2 2.162719+0 9.142133-3 2.454709+0 7.441040-3 2.818383+0 5.992990-3 3.311311+0 4.695412-3 3.845918+0 3.771847-3 4.518559+0 3.003061-3 5.370318+0 2.371681-3 6.382635+0 1.887471-3 7.673615+0 1.491044-3 9.225714+0 1.186543-3 1.161449+1 8.991310-4 1.479108+1 6.781980-4 1.949845+1 4.961098-4 2.600160+1 3.611858-4 3.630781+1 2.520543-4 5.308844+1 1.688126-4 8.317638+1 1.059490-4 1.640590+2 5.291912-5 3.273407+2 2.632347-5 6.531306+2 1.314081-5 5.188000+3 1.648932-6 1.000000+5 8.548600-8 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 9.234300-4 2.346300-4 1.000000+5 2.346300-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 9.234300-4 1.844100-7 1.000000+5 1.844100-7 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 9.234300-4 6.886156-4 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 7.994300-4 3.635938+4 8.709636-4 3.635684+4 9.225714-4 3.622118+4 9.772372-4 3.573448+4 1.083927-3 3.463157+4 1.161449-3 3.355117+4 1.273503-3 3.190945+4 1.400000-3 2.998120+4 1.496236-3 2.851142+4 1.610000-3 2.675300+4 1.778279-3 2.435084+4 1.927525-3 2.241889+4 2.089296-3 2.047943+4 2.317395-3 1.810049+4 2.511886-3 1.634635+4 2.800000-3 1.412516+4 3.090295-3 1.229318+4 3.427678-3 1.053742+4 3.801894-3 8.977060+3 4.265795-3 7.450171+3 4.731513-3 6.259972+3 5.370318-3 5.017192+3 6.025596-3 4.071947+3 6.800000-3 3.246260+3 7.673615-3 2.568871+3 8.709636-3 1.994780+3 9.800000-3 1.565356+3 1.109175-2 1.205283+3 1.258925-2 9.159411+2 1.428894-2 6.910991+2 1.621810-2 5.178346+2 1.840772-2 3.853566+2 2.113489-2 2.770578+2 2.398833-2 2.033217+2 2.786121-2 1.399339+2 3.198895-2 9.840412+1 3.715352-2 6.668549+1 4.315191-2 4.486432+1 5.069907-2 2.906073+1 6.025596-2 1.810884+1 7.328245-2 1.050540+1 9.120108-2 5.668935+0 1.244515-1 2.336106+0 1.905461-1 6.913137-1 2.600160-1 2.885916-1 3.054921-1 1.849192-1 3.548134-1 1.232882-1 4.073803-1 8.541555-2 4.623810-1 6.142314-2 5.188000-1 4.581537-2 5.821032-1 3.441241-2 6.531306-1 2.603781-2 7.328245-1 1.985480-2 8.317638-1 1.486258-2 9.120108-1 1.211449-2 9.885531-1 1.020087-2 1.083927+0 8.453662-3 1.188502+0 7.055152-3 1.318257+0 5.798461-3 1.479108+0 4.697795-3 1.698244+0 3.672292-3 1.949845+0 2.891645-3 2.213095+0 2.339165-3 2.511886+0 1.906601-3 2.884032+0 1.537205-3 3.349654+0 1.226399-3 3.890451+0 9.857077-4 4.570882+0 7.852314-4 5.432503+0 6.204812-4 6.456542+0 4.940637-4 7.762471+0 3.904640-4 9.332543+0 3.108713-4 1.161449+1 2.388977-4 1.479108+1 1.802002-4 1.949845+1 1.318103-4 2.600160+1 9.596558-5 3.589219+1 6.779853-5 5.248075+1 4.539699-5 8.317638+1 2.814939-5 1.640590+2 1.406075-5 3.273407+2 6.993982-6 6.531306+2 3.491534-6 5.188000+3 4.381078-7 1.000000+5 2.271400-8 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 7.994300-4 2.068100-4 1.000000+5 2.068100-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 7.994300-4 1.647100-7 1.000000+5 1.647100-7 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 7.994300-4 5.924553-4 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 6.691600-4 1.974945+5 7.190000-4 1.917188+5 7.300000-4 1.902316+5 7.585776-4 1.843217+5 7.943282-4 1.782840+5 8.709636-4 1.641299+5 9.549926-4 1.497791+5 1.059254-3 1.342548+5 1.202264-3 1.161579+5 1.303167-3 1.051162+5 1.500000-3 8.738400+4 1.640590-3 7.718693+4 1.862087-3 6.412701+4 2.070000-3 5.458760+4 2.371374-3 4.393598+4 2.630268-3 3.699938+4 3.019952-3 2.916640+4 3.400000-3 2.359108+4 3.801894-3 1.920237+4 4.365158-3 1.475567+4 4.954502-3 1.149616+4 5.559043-3 9.103612+3 6.309573-3 6.992718+3 7.244360-3 5.199380+3 8.317638-3 3.832047+3 9.549926-3 2.800579+3 1.083927-2 2.085350+3 1.244515-2 1.499631+3 1.412538-2 1.100435+3 1.584893-2 8.256264+2 1.800000-2 5.970640+2 2.065380-2 4.174064+2 2.344229-2 2.981029+2 2.691535-2 2.049132+2 3.090295-2 1.398098+2 3.548134-2 9.473036+1 4.120975-2 6.166871+1 4.786301-2 3.984844+1 5.623413-2 2.470748+1 6.683439-2 1.468997+1 8.035261-2 8.370834+0 1.000000-1 4.258320+0 1.840772-1 6.357486-1 2.000000-1 4.917680-1 2.290868-1 3.181927-1 2.483133-1 2.474272-1 2.630268-1 2.079432-1 2.786121-1 1.758919-1 2.917427-1 1.547101-1 3.000060-1 1.435224-1 3.427678-1 9.702963-2 3.890451-1 6.740584-2 4.365158-1 4.875755-2 4.897788-1 3.553863-2 5.432503-1 2.692811-2 6.025596-1 2.054703-2 6.683439-1 1.579128-2 7.413102-1 1.222660-2 8.609938-1 8.535862-3 9.225714-1 7.276916-3 9.772372-1 6.407141-3 1.047129+0 5.542097-3 1.135011+0 4.711027-3 1.244515+0 3.942105-3 1.380384+0 3.255565-3 1.698244+0 2.249998-3 1.949845+0 1.771261-3 2.213095+0 1.432870-3 2.511886+0 1.167939-3 2.884032+0 9.416909-4 3.349654+0 7.513085-4 3.890451+0 6.038678-4 4.570882+0 4.810570-4 5.432503+0 3.801246-4 6.456542+0 3.026716-4 7.762471+0 2.392113-4 9.332543+0 1.904514-4 1.161449+1 1.463539-4 1.462177+1 1.118678-4 1.927525+1 8.179807-5 2.570396+1 5.953318-5 3.548134+1 4.204916-5 5.128614+1 2.848958-5 8.128305+1 1.765845-5 1.621810+2 8.715009-6 3.235937+2 4.334672-6 6.456542+2 2.163847-6 5.128614+3 2.715007-7 1.000000+5 1.391500-8 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 6.691600-4 1.868600-4 1.000000+5 1.868600-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 6.691600-4 1.230000-7 1.000000+5 1.230000-7 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 6.691600-4 4.821770-4 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 4.649500-4 8.317680+4 4.665000-4 8.716556+4 4.755000-4 1.103795+5 4.760000-4 1.114715+5 4.930000-4 1.389732+5 4.940000-4 1.404803+5 5.100000-4 1.609524+5 5.128614-4 1.641019+5 5.190000-4 1.717825+5 5.230000-4 1.761071+5 5.260000-4 1.781695+5 5.350000-4 1.831562+5 5.370318-4 1.846845+5 5.559043-4 1.941558+5 5.720000-4 2.008328+5 6.025596-4 2.111838+5 6.280000-4 2.185384+5 6.500000-4 2.232916+5 6.780000-4 2.273440+5 7.000000-4 2.294712+5 7.300000-4 2.309604+5 7.650000-4 2.307856+5 8.035261-4 2.286189+5 8.413951-4 2.250278+5 8.810489-4 2.200941+5 9.225714-4 2.140968+5 9.772372-4 2.050812+5 1.035142-3 1.952235+5 1.096478-3 1.846947+5 1.161449-3 1.734700+5 1.244515-3 1.595637+5 1.333521-3 1.458080+5 1.428894-3 1.322884+5 1.531087-3 1.191485+5 1.659587-3 1.046961+5 1.778279-3 9.317163+4 1.927525-3 8.069807+4 2.113489-3 6.794096+4 2.300000-3 5.755960+4 2.511886-3 4.807437+4 2.722701-3 4.052303+4 3.000000-3 3.273088+4 3.300000-3 2.633204+4 3.650000-3 2.074896+4 4.027170-3 1.632007+4 4.466836-3 1.257200+4 4.897788-3 9.903678+3 5.432503-3 7.520331+3 6.095369-3 5.491284+3 6.839116-3 3.975085+3 7.673615-3 2.853562+3 8.609938-3 2.032063+3 9.660509-3 1.436086+3 1.096478-2 9.718106+2 1.230269-2 6.762183+2 1.380384-2 4.672977+2 1.566751-2 3.088363+2 1.778279-2 2.025103+2 2.018366-2 1.318044+2 2.317395-2 8.184936+1 2.660725-2 5.043998+1 3.090295-2 2.961903+1 3.589219-2 1.726320+1 4.265795-2 9.185873+0 5.128614-2 4.649513+0 6.382635-2 2.054343+0 1.244515-1 1.668219-1 1.621810-1 6.220193-2 1.840772-1 3.901814-2 2.264644-1 1.842398-2 2.570396-1 1.172747-2 2.884032-1 7.831316-3 3.162278-1 5.703800-3 3.548134-1 3.866390-3 3.981072-1 2.640487-3 4.466836-1 1.815713-3 4.954502-1 1.305533-3 5.495409-1 9.457393-4 6.025596-1 7.150295-4 6.606935-1 5.444706-4 7.244360-1 4.177685-4 8.609938-1 2.583161-4 9.120108-1 2.216872-4 9.549926-1 1.973572-4 1.000000+0 1.768431-4 1.047129+0 1.595496-4 1.109175+0 1.413040-4 1.174898+0 1.260075-4 1.258925+0 1.106320-4 1.364583+0 9.575507-5 1.531087+0 7.843813-5 1.840772+0 5.671309-5 2.065380+0 4.658818-5 2.344229+0 3.781838-5 2.660725+0 3.092365-5 3.090295+0 2.457496-5 3.589219+0 1.967336-5 4.168694+0 1.586528-5 4.897788+0 1.267952-5 5.821032+0 1.005061-5 6.918310+0 8.026092-6 8.317638+0 6.360915-6 1.023293+1 4.937525-6 1.230269+1 3.964278-6 1.548817+1 3.036047-6 2.018366+1 2.252561-6 2.660725+1 1.662058-6 3.715352+1 1.160535-6 5.495409+1 7.683358-7 8.609938+1 4.824925-7 1.678804+2 2.439399-7 3.349654+2 1.213667-7 6.683439+2 6.059066-8 5.308844+3 7.603643-9 1.000000+5 4.03380-10 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 4.649500-4 1.430100-4 1.000000+5 1.430100-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 4.649500-4 8.516500-8 1.000000+5 8.516500-8 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 4.649500-4 3.218548-4 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 4.406100-4 1.169736+5 4.450000-4 1.420628+5 4.535000-4 1.806672+5 4.620000-4 2.170611+5 4.623810-4 2.185984+5 4.731513-4 2.506025+5 4.760000-4 2.568071+5 4.841724-4 2.741511+5 4.954502-4 2.917842+5 5.120000-4 3.106608+5 5.308844-4 3.268792+5 5.432503-4 3.357296+5 5.650000-4 3.480606+5 5.956621-4 3.627073+5 6.165950-4 3.701985+5 6.382635-4 3.751653+5 6.700000-4 3.792774+5 7.000000-4 3.802386+5 7.328245-4 3.782417+5 7.673615-4 3.734832+5 8.100000-4 3.650274+5 8.511380-4 3.548842+5 9.000000-4 3.408600+5 9.549926-4 3.241878+5 1.015000-3 3.059454+5 1.071519-3 2.887598+5 1.135011-3 2.697285+5 1.216186-3 2.467904+5 1.303167-3 2.243862+5 1.380384-3 2.061214+5 1.500000-3 1.808376+5 1.621810-3 1.587789+5 1.757924-3 1.377626+5 1.905461-3 1.186989+5 2.070000-3 1.011444+5 2.264644-3 8.437282+4 2.454709-3 7.124823+4 2.691535-3 5.830745+4 2.951209-3 4.735825+4 3.235937-3 3.819592+4 3.548134-3 3.058667+4 3.900000-3 2.418552+4 4.315191-3 1.866933+4 4.731513-3 1.465047+4 5.188000-3 1.143179+4 5.821032-3 8.313532+3 6.531306-3 5.992192+3 7.328245-3 4.282240+3 8.317638-3 2.931151+3 9.332543-3 2.059078+3 1.050000-2 1.423080+3 1.174898-2 9.932259+2 1.303167-2 7.086235+2 1.479108-2 4.654406+2 1.659587-2 3.153335+2 1.883649-2 2.038829+2 2.137962-2 1.308303+2 2.426610-2 8.336187+1 2.786121-2 5.059945+1 3.198895-2 3.048663+1 3.715352-2 1.747685+1 4.365158-2 9.527086+0 5.188000-2 4.936361+0 6.382635-2 2.224341+0 1.202264-1 1.912711-1 1.462177-1 9.024601-2 1.698244-1 5.101549-2 1.949845-1 3.039113-2 2.187762-1 1.984272-2 2.426610-1 1.360698-2 2.691535-1 9.395402-3 2.985383-1 6.537734-3 3.311311-1 4.585434-3 3.630781-1 3.368106-3 4.027170-1 2.398655-3 4.415705-1 1.785360-3 4.841724-1 1.338802-3 5.248075-1 1.048002-3 5.688529-1 8.257279-4 6.237348-1 6.335279-4 6.760830-1 5.056718-4 7.328245-1 4.061131-4 8.511380-1 2.735723-4 9.015711-1 2.363134-4 9.549926-1 2.055277-4 1.000000+0 1.849027-4 1.059254+0 1.632336-4 1.122018+0 1.450002-4 1.202264+0 1.266694-4 1.303167+0 1.090355-4 1.603245+0 7.555666-5 1.862087+0 5.811754-5 2.113489+0 4.687124-5 2.398833+0 3.810093-5 2.754229+0 3.064148-5 3.235937+0 2.397538-5 3.758374+0 1.923719-5 4.365158+0 1.554710-5 5.128614+0 1.245161-5 6.095369+0 9.889934-6 7.328245+0 7.797506-6 8.810489+0 6.193829-6 1.122018+1 4.621692-6 1.412538+1 3.528680-6 1.840772+1 2.610548-6 2.454709+1 1.897503-6 3.349654+1 1.355414-6 4.786301+1 9.284200-7 7.585776+1 5.747584-7 1.513561+2 2.833560-7 3.019952+2 1.408557-7 6.025596+2 7.030164-8 4.786301+3 8.817765-9 1.000000+5 4.21760-10 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 4.406100-4 1.380700-4 1.000000+5 1.380700-4 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 4.406100-4 1.872300-8 1.000000+5 1.872300-8 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 4.406100-4 3.025213-4 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 1.738700-4 9.269760+4 1.739300-4 9.435720+4 1.742000-4 1.002336+5 1.745000-4 1.063566+5 1.748000-4 1.120404+5 1.751000-4 1.172886+5 1.755000-4 1.236702+5 1.758000-4 1.279704+5 1.762000-4 1.330524+5 1.766000-4 1.375026+5 1.770000-4 1.413804+5 1.775000-4 1.454208+5 1.781000-4 1.492368+5 1.787000-4 1.520934+5 1.793000-4 1.541562+5 1.800000-4 1.557606+5 1.810000-4 1.568682+5 1.820000-4 1.569726+5 1.835000-4 1.559286+5 1.890000-4 1.486416+5 1.910000-4 1.466052+5 1.933000-4 1.452702+5 1.955000-4 1.452018+5 1.972423-4 1.460770+5 1.992000-4 1.481076+5 2.010000-4 1.509762+5 2.030000-4 1.553178+5 2.051300-4 1.612907+5 2.070000-4 1.676760+5 2.090000-4 1.756788+5 2.113489-4 1.866276+5 2.142000-4 2.021454+5 2.170000-4 2.198298+5 2.205000-4 2.454594+5 2.242500-4 2.775044+5 2.300000-4 3.363984+5 2.400000-4 4.671072+5 2.450000-4 5.442960+5 2.490000-4 6.102720+5 2.520000-4 6.616140+5 2.560000-4 7.318140+5 2.600160-4 8.034526+5 2.635000-4 8.661120+5 2.670000-4 9.291600+5 2.722701-4 1.023691+6 2.770000-4 1.107600+6 2.818383-4 1.191987+6 2.851018-4 1.247768+6 2.900000-4 1.329312+6 2.951209-4 1.410998+6 3.000000-4 1.484544+6 3.054921-4 1.561866+6 3.100000-4 1.620438+6 3.162278-4 1.693833+6 3.235937-4 1.769209+6 3.311311-4 1.834451+6 3.390000-4 1.891056+6 3.470000-4 1.937700+6 3.550000-4 1.974978+6 3.650000-4 2.009466+6 3.758374-4 2.032351+6 3.850000-4 2.041194+6 3.981072-4 2.039009+6 4.120975-4 2.021308+6 4.280000-4 1.986300+6 4.466836-4 1.931435+6 4.650000-4 1.868508+6 4.850000-4 1.793070+6 5.080000-4 1.700610+6 5.308844-4 1.605945+6 5.623413-4 1.478023+6 5.900000-4 1.370592+6 6.237348-4 1.247113+6 6.606934-4 1.122489+6 7.000000-4 1.003200+6 7.413102-4 8.921011+5 7.852356-4 7.882619+5 8.413951-4 6.745677+5 9.015711-4 5.733779+5 9.700000-4 4.792200+5 1.047129-3 3.943392+5 1.135011-3 3.188687+5 1.230269-3 2.559649+5 1.333521-3 2.042011+5 1.462177-3 1.564965+5 1.603245-3 1.190640+5 1.778279-3 8.677228+4 1.950000-3 6.499620+4 2.150000-3 4.752924+4 2.400000-3 3.311334+4 2.691535-3 2.250831+4 3.019952-3 1.513558+4 3.388442-3 1.008965+4 3.801894-3 6.668976+3 4.300000-3 4.243722+3 4.841724-3 2.720887+3 5.370318-3 1.833472+3 6.025596-3 1.173614+3 6.760830-3 7.457960+2 7.673615-3 4.494067+2 8.609938-3 2.814991+2 9.772372-3 1.670673+2 1.109175-2 9.841578+1 1.258925-2 5.753890+1 1.428894-2 3.339894+1 1.621810-2 1.924981+1 1.862087-2 1.047569+1 2.162719-2 5.377751+0 2.540973-2 2.602601+0 3.090295-2 1.069040+0 3.845918-2 3.923157-1 5.128614-2 1.038334-1 8.222426-2 1.164203-2 9.885531-2 4.987911-3 1.161449-1 2.395781-3 1.364583-1 1.159302-3 1.621810-1 5.371890-4 1.840772-1 3.076418-4 2.137962-1 1.605360-4 2.371374-1 1.030311-4 2.600160-1 6.997422-5 2.786121-1 5.264629-5 3.019952-1 3.801509-5 3.273407-1 2.765319-5 3.630781-1 1.851810-5 4.466836-1 8.403400-6 4.841724-1 6.216908-6 5.128614-1 5.038377-6 5.559043-1 3.782309-6 6.309573-1 2.435577-6 6.839117-1 1.852047-6 7.328245-1 1.474253-6 7.852356-1 1.182527-6 8.609938-1 8.868208-7 9.015711-1 7.720368-7 9.440609-1 6.765714-7 9.772372-1 6.162542-7 1.011579+0 5.646472-7 1.047129+0 5.202611-7 1.096478+0 4.698954-7 1.148154+0 4.274732-7 1.216186+0 3.829406-7 1.303167+0 3.383249-7 1.412538+0 2.950132-7 1.513561+0 2.630086-7 1.905461+0 1.755195-7 2.137962+0 1.444473-7 2.426610+0 1.174985-7 2.786121+0 9.455559-8 3.273407+0 7.403053-8 3.801894+0 5.943545-8 4.466836+0 4.729399-8 5.308844+0 3.733100-8 6.309573+0 2.969527-8 7.585776+0 2.344691-8 9.120108+0 1.865008-8 1.148154+1 1.412676-8 1.462177+1 1.065128-8 1.927525+1 7.788457-9 2.570396+1 5.668486-9 3.548134+1 4.003702-9 5.128614+1 2.712638-9 8.128305+1 1.681342-9 1.621810+2 8.29802-10 3.235937+2 4.12731-10 6.456542+2 2.06035-10 5.128614+3 2.58514-11 1.000000+5 1.32490-12 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 1.738700-4 8.025600-5 1.000000+5 8.025600-5 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.738700-4 7.97450-10 1.000000+5 7.97450-10 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.738700-4 9.361320-5 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 1.681700-4 1.222672+5 1.682300-4 1.244144+5 1.685000-4 1.322104+5 1.688000-4 1.403024+5 1.690500-4 1.466688+5 1.694000-4 1.550232+5 1.697500-4 1.626120+5 1.701000-4 1.695704+5 1.704500-4 1.758592+5 1.708200-4 1.817922+5 1.712000-4 1.872000+5 1.716000-4 1.921928+5 1.722000-4 1.984576+5 1.727000-4 2.026656+5 1.733000-4 2.066432+5 1.740000-4 2.100288+5 1.748300-4 2.126204+5 1.758000-4 2.141408+5 1.770000-4 2.144096+5 1.785000-4 2.131584+5 1.842000-4 2.041400+5 1.865000-4 2.016320+5 1.885000-4 2.007216+5 1.905461-4 2.012474+5 1.922000-4 2.028608+5 1.940000-4 2.058976+5 1.957000-4 2.100384+5 1.973000-4 2.150840+5 1.990000-4 2.216792+5 2.010000-4 2.310592+5 2.030000-4 2.421816+5 2.050000-4 2.550328+5 2.075000-4 2.735226+5 2.100000-4 2.947304+5 2.135000-4 3.290944+5 2.170000-4 3.691512+5 2.220000-4 4.367968+5 2.330000-4 6.298472+5 2.380000-4 7.357048+5 2.426610-4 8.420305+5 2.465000-4 9.335680+5 2.500000-4 1.019088+6 2.540973-4 1.120677+6 2.580000-4 1.217992+6 2.620000-4 1.317640+6 2.670000-4 1.441312+6 2.722701-4 1.569644+6 2.770000-4 1.682336+6 2.830000-4 1.820648+6 2.884032-4 1.939327+6 2.930000-4 2.034888+6 2.985383-4 2.142342+6 3.050000-4 2.255968+6 3.100000-4 2.334720+6 3.162278-4 2.421692+6 3.240000-4 2.513808+6 3.320000-4 2.591432+6 3.390000-4 2.646816+6 3.470000-4 2.697496+6 3.550000-4 2.735872+6 3.650000-4 2.767952+6 3.758374-4 2.784269+6 3.850000-4 2.784392+6 3.981072-4 2.766234+6 4.120975-4 2.728275+6 4.280000-4 2.669032+6 4.466836-4 2.585002+6 4.650000-4 2.491992+6 4.850000-4 2.382008+6 5.080000-4 2.250056+6 5.308844-4 2.118612+6 5.623413-4 1.943428+6 5.900000-4 1.797896+6 6.237348-4 1.630737+6 6.606934-4 1.463373+6 7.000000-4 1.305176+6 7.413102-4 1.158161+6 7.852356-4 1.020761+6 8.500000-4 8.511760+5 9.120108-4 7.189111+5 9.885531-4 5.874569+5 1.071519-3 4.766347+5 1.161449-3 3.836194+5 1.270000-3 2.994168+5 1.396368-3 2.280485+5 1.513561-3 1.798823+5 1.678804-3 1.314451+5 1.840772-3 9.868099+4 2.018366-3 7.362382+4 2.264644-3 5.056640+4 2.540973-3 3.438759+4 2.855000-3 2.305334+4 3.198895-3 1.546473+4 3.589219-3 1.023535+4 4.027170-3 6.717306+3 4.518559-3 4.371613+3 5.044660-3 2.876496+3 5.688529-3 1.807327+3 6.309573-3 1.202974+3 7.079458-3 7.597206+2 8.035261-3 4.544163+2 9.015711-3 2.829545+2 1.023293-2 1.666857+2 1.161449-2 9.746853+1 1.318257-2 5.657873+1 1.500000-2 3.224968+1 1.717908-2 1.772027+1 1.972423-2 9.557811+0 2.290868-2 4.858912+0 2.691535-2 2.327095+0 3.273407-2 9.439556-1 4.073803-2 3.414614-1 4.570882-2 1.991569-1 7.762471-2 1.642654-2 9.440609-2 6.573531-3 1.109175-1 3.112419-3 1.288250-1 1.565737-3 1.479108-1 8.367972-4 1.678804-1 4.746647-4 1.895000-1 2.780201-4 2.113489-1 1.726884-4 2.317395-1 1.162777-4 2.540973-1 7.883365-5 2.786121-1 5.387957-5 3.019952-1 3.888068-5 3.273407-1 2.824854-5 3.548134-1 2.067486-5 3.845918-1 1.524032-5 4.120975-1 1.180473-5 4.466836-1 8.823773-6 4.841724-1 6.641371-6 5.370318-1 4.645225-6 5.821032-1 3.541999-6 6.309573-1 2.720569-6 6.760830-1 2.183702-6 7.413102-1 1.642983-6 7.852356-1 1.384670-6 8.226300-1 1.212399-6 8.609938-1 1.070516-6 9.015711-1 9.494030-7 9.440609-1 8.471059-7 9.885531-1 7.606815-7 1.047129+0 6.707952-7 1.109175+0 5.953079-7 1.188502+0 5.194572-7 1.288250+0 4.465946-7 1.412538+0 3.786387-7 1.840772+0 2.376578-7 2.089296+0 1.915349-7 2.371374+0 1.555854-7 2.691535+0 1.273000-7 3.126079+0 1.012238-7 3.630781+0 8.108034-8 4.216965+0 6.542229-8 4.954502+0 5.231502-8 5.888437+0 4.148802-8 7.079458+0 3.266218-8 8.511380+0 2.590973-8 1.071519+1 1.957576-8 1.318257+1 1.532588-8 1.621810+1 1.207565-8 2.089296+1 9.085579-9 2.786121+1 6.625826-9 3.935501+1 4.575426-9 5.956621+1 2.960683-9 9.332543+1 1.861765-9 1.757924+2 9.75780-10 3.507519+2 4.85617-10 6.998420+2 2.42474-10 5.559043+3 3.04354-11 1.000000+5 1.69070-12 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 1.681700-4 7.732800-5 1.000000+5 7.732800-5 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 1.681700-4 1.825400-8 1.000000+5 1.825400-8 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 1.681700-4 9.082375-5 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 1.668600-4 5.383140+4 1.690000-4 5.513420+4 1.718000-4 5.642220+4 1.757924-4 5.788284+4 1.800000-4 5.903820+4 1.840772-4 5.981021+4 1.883649-4 6.023882+4 1.930000-4 6.031760+4 2.000000-4 5.994160+4 2.238721-4 5.789355+4 2.500000-4 5.626200+4 2.650000-4 5.506260+4 2.818383-4 5.341056+4 3.054921-4 5.089621+4 3.350000-4 4.785440+4 3.600000-4 4.533880+4 3.890451-4 4.245041+4 4.315191-4 3.852999+4 4.731513-4 3.513448+4 5.188000-4 3.180171+4 5.888437-4 2.748153+4 6.531306-4 2.423244+4 7.500000-4 2.029920+4 8.511380-4 1.714410+4 1.000000-3 1.370908+4 1.188502-3 1.068912+4 1.428894-3 8.129445+3 1.717908-3 6.134313+3 2.089296-3 4.513723+3 2.511886-3 3.357536+3 3.054921-3 2.432846+3 3.672823-3 1.782808+3 4.415704-3 1.296718+3 5.370318-3 9.171738+2 6.531306-3 6.433691+2 7.943282-3 4.477949+2 9.660509-3 3.091693+2 1.174898-2 2.117930+2 1.428894-2 1.439305+2 1.737801-2 9.703985+1 2.089296-2 6.645318+1 2.511886-2 4.515664+1 3.019952-2 3.044536+1 3.589219-2 2.088636+1 4.265795-2 1.422722+1 5.069907-2 9.622372+0 6.095369-2 6.291423+0 7.328245-2 4.081204+0 9.154000-2 2.399434+0 1.135011-1 1.419042+0 1.496236-1 7.160583-1 2.722701-1 1.609788-1 3.311311-1 9.946275-2 3.935501-1 6.550004-2 4.570882-1 4.594584-2 5.248075-1 3.334486-2 6.025596-1 2.437765-2 6.839117-1 1.843067-2 7.762471-1 1.403186-2 8.810489-1 1.075465-2 9.885531-1 8.506673-3 1.148154+0 6.331479-3 1.303167+0 4.964350-3 1.479108+0 3.922866-3 1.659587+0 3.190816-3 1.905461+0 2.510306-3 2.162719+0 2.028149-3 2.454709+0 1.650912-3 2.818383+0 1.329380-3 3.273407+0 1.059443-3 3.801894+0 8.505727-4 4.466836+0 6.768221-4 5.308844+0 5.342470-4 6.309573+0 4.249731-4 7.585776+0 3.355432-4 9.120108+0 2.668973-4 1.148154+1 2.021635-4 1.445440+1 1.544674-4 1.905461+1 1.129008-4 2.540973+1 8.214553-5 3.507519+1 5.800524-5 5.069907+1 3.929201-5 8.035261+1 2.434851-5 1.603245+2 1.201456-5 3.198895+2 5.975398-6 6.382635+2 2.982858-6 5.069907+3 3.742400-7 1.000000+5 1.896100-8 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 1.668600-4 9.532500-5 1.000000+5 9.532500-5 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.668600-4 1.652500-9 1.000000+5 1.652500-9 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.668600-4 7.153335-5 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 1.231200-4 4.393880+5 1.236000-4 4.628060+5 1.239500-4 4.775320+5 1.243000-4 4.906860+5 1.247000-4 5.034120+5 1.252000-4 5.164520+5 1.257000-4 5.262560+5 1.262000-4 5.335140+5 1.267000-4 5.383720+5 1.274000-4 5.416280+5 1.282000-4 5.413420+5 1.289000-4 5.385000+5 1.300000-4 5.304800+5 1.315000-4 5.150600+5 1.333521-4 4.924874+5 1.364583-4 4.528587+5 1.470000-4 3.409580+5 1.548817-4 2.814833+5 1.659587-4 2.201486+5 1.778279-4 1.731680+5 1.883649-4 1.425455+5 2.000000-4 1.172504+5 2.113489-4 9.870048+4 2.220000-4 8.525840+4 2.330000-4 7.437560+4 2.426610-4 6.675550+4 2.511886-4 6.121749+4 2.620000-4 5.545960+4 2.730000-4 5.072580+4 2.851018-4 4.649997+4 2.985383-4 4.270177+4 3.126079-4 3.947310+4 3.280000-4 3.660320+4 3.464100-4 3.385953+4 3.650000-4 3.165440+4 3.890451-4 2.938642+4 4.216965-4 2.698963+4 4.677351-4 2.441295+4 6.760830-4 1.750686+4 7.852356-4 1.518580+4 9.015711-4 1.320761+4 1.011579-3 1.168711+4 1.150000-3 1.012638+4 1.318257-3 8.623919+3 1.513561-3 7.270246+3 1.737801-3 6.078716+3 2.000000-3 5.023680+3 2.290868-3 4.144503+3 2.600160-3 3.438433+3 2.951209-3 2.831958+3 3.349654-3 2.315418+3 3.801894-3 1.879168+3 4.315191-3 1.513713+3 4.897788-3 1.210571+3 5.559043-3 9.610446+2 6.309573-3 7.574780+2 7.161434-3 5.927150+2 8.128305-3 4.605461+2 9.225714-3 3.553652+2 1.047129-2 2.723218+2 1.188502-2 2.072642+2 1.364583-2 1.527022+2 1.566751-2 1.116120+2 1.798871-2 8.094091+1 2.065380-2 5.824933+1 2.371374-2 4.160266+1 2.722701-2 2.950083+1 3.126079-2 2.077318+1 3.630781-2 1.409731+1 4.265795-2 9.214040+0 5.069907-2 5.796241+0 6.095369-2 3.508720+0 7.413102-2 2.042561+0 8.511380-2 1.387177+0 1.096478-1 6.760197-1 1.862087-1 1.490292-1 2.344229-1 7.772875-2 2.786121-1 4.803582-2 3.235937-1 3.186721-2 3.715352-1 2.196560-2 4.265795-1 1.525193-2 4.841724-1 1.099714-2 5.432503-1 8.224641-3 6.095369-1 6.194487-3 6.839117-1 4.701382-3 7.585776-1 3.692971-3 8.609938-1 2.770794-3 9.332543-1 2.322120-3 1.011579+0 1.959698-3 1.109175+0 1.627232-3 1.230269+0 1.330620-3 1.364583+0 1.096104-3 1.584893+0 8.362404-4 1.819701+0 6.560464-4 2.089296+0 5.185367-4 2.371374+0 4.212143-4 2.691535+0 3.446357-4 3.126079+0 2.740403-4 3.630781+0 2.195102-4 4.216965+0 1.771202-4 4.954502+0 1.416344-4 5.888437+0 1.123253-4 7.079458+0 8.842548-5 8.511380+0 7.014455-5 1.071519+1 5.299728-5 1.318257+1 4.149015-5 1.640590+1 3.226677-5 2.113489+1 2.428494-5 2.818383+1 1.771496-5 4.027170+1 1.208799-5 6.165950+1 7.732233-6 9.549926+1 4.922798-6 1.778279+2 2.611016-6 3.548134+2 1.299553-6 7.079458+2 6.488936-7 5.623413+3 8.145488-8 1.000000+5 4.577100-9 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 1.231200-4 6.690400-5 1.000000+5 6.690400-5 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.231200-4 2.973000-9 1.000000+5 2.973000-9 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.231200-4 5.621303-5 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 9.746000-5 9.462640+5 9.795000-5 9.654200+5 9.870000-5 9.868840+5 9.930000-5 9.979800+5 1.000000-4 1.004832+6 1.007000-4 1.006340+6 1.015900-4 1.001825+6 1.025000-4 9.914160+5 1.035142-4 9.750766+5 1.050000-4 9.454440+5 1.071519-4 8.967399+5 1.100000-4 8.307640+5 1.220000-4 6.040520+5 1.280000-4 5.245280+5 1.333521-4 4.683047+5 1.380384-4 4.281403+5 1.430000-4 3.929972+5 1.480000-4 3.637244+5 1.540000-4 3.349296+5 1.603245-4 3.102362+5 1.678804-4 2.862638+5 1.760000-4 2.652964+5 1.862087-4 2.439281+5 1.980000-4 2.242820+5 2.089296-4 2.096804+5 2.238721-4 1.937835+5 2.449500-4 1.765202+5 3.548134-4 1.230238+5 4.073803-4 1.068035+5 4.623810-4 9.317827+4 5.300000-4 7.978000+4 6.025596-4 6.843704+4 6.839116-4 5.839199+4 7.852356-4 4.875241+4 9.120108-4 3.974149+4 1.059254-3 3.212664+4 1.230269-3 2.576429+4 1.428894-3 2.050086+4 1.659587-3 1.618661+4 1.905461-3 1.292656+4 2.162719-3 1.045690+4 2.500000-3 8.146080+3 2.851018-3 6.449486+3 3.235937-3 5.118774+3 3.672823-3 4.034337+3 4.216965-3 3.087820+3 4.841724-3 2.345087+3 5.495409-3 1.809513+3 6.237348-3 1.386875+3 7.161434-3 1.029648+3 8.222426-3 7.584110+2 9.332543-3 5.689933+2 1.071519-2 4.125857+2 1.230269-2 2.968164+2 1.412538-2 2.118385+2 1.603245-2 1.544052+2 1.840772-2 1.085224+2 2.089296-2 7.801818+1 2.398833-2 5.402343+1 2.754229-2 3.712858+1 3.162278-2 2.533275+1 3.630781-2 1.716343+1 4.168694-2 1.154778+1 4.872880-2 7.319686+0 5.754399-2 4.466918+0 6.839116-2 2.653876+0 8.413951-2 1.408946+0 1.047129-1 7.166821-1 1.778279-1 1.376802-1 2.238721-1 6.768463-2 2.630268-1 4.146745-2 3.019952-1 2.743684-2 3.427678-1 1.892201-2 3.890451-1 1.314758-2 4.365158-1 9.511712-3 4.897788-1 6.933637-3 5.432503-1 5.253591-3 6.025596-1 4.008492-3 6.683439-1 3.081031-3 7.413102-1 2.385900-3 8.609938-1 1.666003-3 9.225714-1 1.420369-3 9.772372-1 1.250657-3 1.047129+0 1.081856-3 1.135011+0 9.196346-4 1.244515+0 7.695092-4 1.380384+0 6.354685-4 1.698244+0 4.391748-4 1.949845+0 3.457130-4 2.213095+0 2.796325-4 2.511886+0 2.279215-4 2.884032+0 1.837712-4 3.349654+0 1.466161-4 3.890451+0 1.178414-4 4.570882+0 9.387741-5 5.432503+0 7.418194-5 6.456542+0 5.906713-5 7.762471+0 4.668239-5 9.332543+0 3.716638-5 1.161449+1 2.856131-5 1.479108+1 2.154324-5 1.949845+1 1.575891-5 2.600160+1 1.147323-5 3.589219+1 8.105709-6 5.248075+1 5.427429-6 8.317638+1 3.365431-6 1.640590+2 1.680977-6 3.273407+2 8.361673-7 6.531306+2 4.174364-7 5.188000+3 5.237797-8 1.000000+5 2.715500-9 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 9.746000-5 6.507300-5 1.000000+5 6.507300-5 1 83000 7 7 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 9.746000-5 6.66390-10 1.000000+5 6.66390-10 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 9.746000-5 3.238633-5 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 3.537000-5 1.566932+6 3.570000-5 1.621400+6 3.600000-5 1.680644+6 3.630781-5 1.753716+6 3.670000-5 1.866248+6 3.700000-5 1.968416+6 3.740000-5 2.128216+6 3.770000-5 2.266304+6 3.815000-5 2.507492+6 3.850000-5 2.725684+6 3.900000-5 3.087480+6 3.950000-5 3.514092+6 4.000000-5 4.011640+6 4.220000-5 7.191520+6 4.300000-5 8.780200+6 4.365158-5 1.023157+7 4.420000-5 1.154260+7 4.472100-5 1.283923+7 4.520000-5 1.405472+7 4.570882-5 1.533957+7 4.610000-5 1.630500+7 4.650000-5 1.725772+7 4.700000-5 1.836972+7 4.740000-5 1.918296+7 4.786301-5 2.002230+7 4.820000-5 2.055900+7 4.860000-5 2.110732+7 4.900000-5 2.155768+7 4.954502-5 2.201291+7 5.000000-5 2.225948+7 5.060000-5 2.241096+7 5.110000-5 2.240324+7 5.170000-5 2.225544+7 5.230000-5 2.198312+7 5.308844-5 2.148002+7 5.400000-5 2.075620+7 5.500000-5 1.985900+7 5.623413-5 1.868811+7 5.800000-5 1.702372+7 6.025596-5 1.504543+7 6.309573-5 1.286561+7 6.606934-5 1.092931+7 6.918310-5 9.220882+6 7.244360-5 7.723153+6 7.585776-5 6.421112+6 8.000000-5 5.147120+6 8.511380-5 3.948126+6 9.300000-5 2.678500+6 1.047129-4 1.580113+6 1.135011-4 1.097326+6 1.216186-4 7.970931+5 1.303167-4 5.744588+5 1.400000-4 4.058760+5 1.584893-4 2.209044+5 1.659587-4 1.770067+5 1.720000-4 1.497104+5 1.780000-4 1.282016+5 1.840772-4 1.109197+5 1.883649-4 1.009416+5 1.930000-4 9.186320+4 1.980000-4 8.374480+4 2.020000-4 7.830800+4 2.065380-4 7.310442+4 2.113489-4 6.854098+4 2.162719-4 6.472535+4 2.213095-4 6.156966+4 2.264644-4 5.899351+4 2.317395-4 5.692506+4 2.371374-4 5.529846+4 2.430000-4 5.399120+4 2.500000-4 5.292960+4 2.570396-4 5.229031+4 2.650000-4 5.195800+4 2.754229-4 5.197342+4 2.884032-4 5.244887+4 3.100000-4 5.374160+4 3.427678-4 5.573252+4 3.672823-4 5.679146+4 3.930000-4 5.744000+4 4.168694-4 5.761288+4 4.430000-4 5.739840+4 4.700000-4 5.678280+4 5.011872-4 5.571021+4 5.308844-4 5.442708+4 5.688529-4 5.254495+4 6.025596-4 5.071067+4 6.500000-4 4.802400+4 7.000000-4 4.516840+4 7.500000-4 4.238640+4 8.128305-4 3.904953+4 8.912509-4 3.521429+4 9.700000-4 3.175152+4 1.060990-3 2.821556+4 1.148154-3 2.526996+4 1.244515-3 2.243564+4 1.364583-3 1.943503+4 1.500000-3 1.663520+4 1.640590-3 1.425999+4 1.798871-3 1.208446+4 1.972423-3 1.016838+4 2.162719-3 8.498006+3 2.371374-3 7.053885+3 2.600160-3 5.815853+3 2.851018-3 4.763315+3 3.126079-3 3.875509+3 3.467369-3 3.049148+3 3.845918-3 2.380033+3 4.265795-3 1.843453+3 4.731513-3 1.417144+3 5.248075-3 1.081477+3 5.821032-3 8.194641+2 6.456542-3 6.166573+2 7.161434-3 4.609309+2 8.000000-3 3.352672+2 8.912509-3 2.440236+2 1.000000-2 1.726208+2 1.122018-2 1.211935+2 1.258925-2 8.447161+1 1.412538-2 5.846640+1 1.603245-2 3.871420+1 1.819701-2 2.543739+1 2.065380-2 1.658745+1 2.344229-2 1.073701+1 2.691535-2 6.630225+0 3.090295-2 4.064781+0 3.589219-2 2.374864+0 4.216965-2 1.321536+0 5.069907-2 6.710032-1 6.309573-2 2.973038-1 1.273503-1 2.134663-2 1.584893-1 9.466841-3 1.883649-1 5.017402-3 2.187762-1 2.914236-3 2.483133-1 1.852141-3 2.786121-1 1.234557-3 3.090295-1 8.624876-4 3.467369-1 5.837247-4 3.890451-1 3.980342-4 4.365158-1 2.733453-4 4.841724-1 1.962815-4 5.370318-1 1.420245-4 5.888437-1 1.072530-4 6.456542-1 8.150754-5 7.079458-1 6.238408-5 7.673615-1 4.969247-5 8.222427-1 4.099761-5 8.709636-1 3.499479-5 9.225714-1 3.008252-5 9.660509-1 2.682511-5 1.011579+0 2.408464-5 1.071519+0 2.123287-5 1.135011+0 1.885979-5 1.202264+0 1.685820-5 1.288250+0 1.483279-5 1.412538+0 1.260640-5 1.531087+0 1.096570-5 1.840772+0 7.928517-6 2.065380+0 6.512772-6 2.344229+0 5.286602-6 2.660725+0 4.322877-6 3.090295+0 3.435479-6 3.589219+0 2.750229-6 4.168694+0 2.217891-6 4.897788+0 1.772579-6 5.821032+0 1.405049-6 6.918310+0 1.121948-6 8.317638+0 8.892254-7 1.023293+1 6.902441-7 1.230269+1 5.541820-7 1.548817+1 4.244160-7 2.018366+1 3.148989-7 2.660725+1 2.323483-7 3.715352+1 1.622395-7 5.495409+1 1.074080-7 8.609938+1 6.744990-8 1.678804+2 3.410187-8 3.349654+2 1.696594-8 6.683439+2 8.470184-9 5.308844+3 1.062975-9 1.000000+5 5.63900-11 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 3.537000-5 3.537000-5 1.000000+5 3.537000-5 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 3.537000-5 0.0 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 3.217000-5 2.980224+6 3.250000-5 3.052170+6 3.280000-5 3.134898+6 3.311311-5 3.244209+6 3.340000-5 3.366426+6 3.365000-5 3.489762+6 3.400000-5 3.692454+6 3.430000-5 3.895230+6 3.470000-5 4.209804+6 3.510000-5 4.579134+6 3.550000-5 5.007714+6 3.600000-5 5.633754+6 3.650000-5 6.368640+6 3.720000-5 7.597020+6 3.920000-5 1.254108+7 4.000000-5 1.512234+7 4.050000-5 1.688580+7 4.110000-5 1.911840+7 4.168694-5 2.137686+7 4.220000-5 2.336322+7 4.265795-5 2.510440+7 4.315191-5 2.690866+7 4.365158-5 2.861157+7 4.410000-5 3.000264+7 4.450000-5 3.111306+7 4.500000-5 3.230742+7 4.540000-5 3.309732+7 4.590000-5 3.387222+7 4.630000-5 3.432306+7 4.680000-5 3.468396+7 4.740000-5 3.484164+7 4.800000-5 3.473364+7 4.870000-5 3.432768+7 4.920000-5 3.388812+7 5.000000-5 3.298908+7 5.080000-5 3.192126+7 5.190000-5 3.029592+7 5.308844-5 2.846275+7 5.450000-5 2.630820+7 5.650000-5 2.344296+7 5.900000-5 2.026686+7 6.165950-5 1.737003+7 6.456542-5 1.469272+7 6.760830-5 1.234251+7 7.079458-5 1.029371+7 7.413102-5 8.525474+6 7.800000-5 6.874380+6 8.317638-5 5.196997+6 9.015711-5 3.630226+6 1.000000-4 2.269782+6 1.083927-4 1.564734+6 1.161449-4 1.130467+6 1.244515-4 8.108020+5 1.496236-4 3.278069+5 1.566751-4 2.628101+5 1.621810-4 2.238618+5 1.678804-4 1.919628+5 1.720000-4 1.732092+5 1.760000-4 1.578552+5 1.810000-4 1.419756+5 1.850000-4 1.314996+5 1.890000-4 1.226898+5 1.930000-4 1.153032+5 1.972423-4 1.087949+5 2.018366-4 1.030492+5 2.065380-4 9.834487+4 2.113489-4 9.455230+4 2.162719-4 9.155290+4 2.213095-4 8.923736+4 2.264644-4 8.750747+4 2.330000-4 8.605380+4 2.400000-4 8.520480+4 2.483133-4 8.489703+4 2.580000-4 8.519520+4 2.722701-4 8.637727+4 3.200000-4 9.158220+4 3.430000-4 9.327960+4 3.630781-4 9.409178+4 3.850000-4 9.437520+4 4.073803-4 9.405172+4 4.350000-4 9.297180+4 4.623810-4 9.127689+4 4.954502-4 8.868856+4 5.300000-4 8.555400+4 5.688529-4 8.178196+4 6.100000-4 7.759320+4 6.531306-4 7.321750+4 7.079458-4 6.785328+4 7.673615-4 6.235100+4 8.317638-4 5.683856+4 8.912509-4 5.221674+4 9.660509-4 4.699590+4 1.059254-3 4.130124+4 1.161449-3 3.601677+4 1.273503-3 3.117058+4 1.396368-3 2.677601+4 1.531087-3 2.283369+4 1.678804-3 1.933328+4 1.840772-3 1.625418+4 2.018366-3 1.357095+4 2.213095-3 1.125449+4 2.426610-3 9.270717+3 2.660725-3 7.585888+3 2.917427-3 6.166497+3 3.198895-3 4.979731+3 3.548134-3 3.885495+3 3.935501-3 3.007960+3 4.365158-3 2.310942+3 4.841724-3 1.762102+3 5.370318-3 1.333577+3 6.000000-3 9.820345+2 6.683439-3 7.237048+2 7.413102-3 5.360358+2 8.222426-3 3.943825+2 9.225714-3 2.782926+2 1.035142-2 1.948665+2 1.161449-2 1.354565+2 1.303167-2 9.343834+1 1.462177-2 6.395104+1 1.621810-2 4.511232+1 1.840772-2 2.920966+1 2.137962-2 1.732188+1 2.454709-2 1.061691+1 2.818383-2 6.460082+0 3.198895-2 4.069403+0 3.715352-2 2.338454+0 4.365158-2 1.277842+0 5.188000-2 6.636755-1 6.456542-2 2.866919-1 1.202264-1 2.593978-2 1.462177-1 1.225629-2 1.717908-1 6.654930-3 1.972423-1 3.970797-3 2.238721-1 2.490320-3 2.511886-1 1.641615-3 2.786121-1 1.136436-3 3.054921-1 8.249010-4 3.349654-1 6.028030-4 3.672823-1 4.434226-4 4.073803-1 3.163348-4 4.466836-1 2.358613-4 4.897788-1 1.771339-4 5.308844-1 1.387645-4 5.821032-1 1.057652-4 6.309573-1 8.394504-5 6.839117-1 6.704590-5 7.413102-1 5.389685-5 8.511380-1 3.750810-5 9.015711-1 3.243996-5 9.549926-1 2.824589-5 1.000000+0 2.543000-5 1.059254+0 2.246325-5 1.135011+0 1.950596-5 1.216186+0 1.705898-5 1.318257+0 1.469532-5 1.819701+0 8.317419-6 2.065380+0 6.698824-6 2.344229+0 5.437791-6 2.660725+0 4.446441-6 3.090295+0 3.533554-6 3.589219+0 2.828705-6 4.168694+0 2.281178-6 4.897788+0 1.823186-6 5.821032+0 1.445119-6 6.918310+0 1.154023-6 8.317638+0 9.146100-7 1.023293+1 7.099491-7 1.244515+1 5.623587-7 1.566751+1 4.308540-7 2.041738+1 3.197655-7 2.722701+1 2.330681-7 3.845918+1 1.608498-7 5.821032+1 1.040317-7 9.015711+1 6.617340-8 1.717908+2 3.426533-8 3.427678+2 1.705073-8 6.839116+2 8.512950-9 5.432503+3 1.068440-9 1.000000+5 5.80000-11 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 3.217000-5 3.217000-5 1.000000+5 3.217000-5 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 3.217000-5 0.0 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 1.769000-5 1.946586+6 1.819701-5 1.731678+6 1.972423-5 1.220400+6 2.400000-5 5.184140+5 2.600160-5 3.674344+5 2.754229-5 2.883707+5 2.917427-5 2.278255+5 3.054921-5 1.899018+5 3.190000-5 1.611220+5 3.311311-5 1.407030+5 3.427678-5 1.248563+5 3.548134-5 1.114940+5 3.672823-5 1.002442+5 3.801894-5 9.078697+4 3.935501-5 8.284762+4 4.073803-5 7.618979+4 4.220000-5 7.050300+4 4.365158-5 6.593034+4 4.518559-5 6.200252+4 4.677351-5 5.869635+4 4.850000-5 5.577560+4 5.011872-5 5.352750+4 5.248075-5 5.088264+4 5.500000-5 4.866580+4 5.821032-5 4.644013+4 6.300000-5 4.389160+4 8.609938-5 3.606496+4 9.660509-5 3.333773+4 1.071519-4 3.083912+4 1.190000-4 2.829580+4 1.333521-4 2.558644+4 1.566751-4 2.199718+4 1.862087-4 1.858968+4 2.089296-4 1.651845+4 2.344229-4 1.457556+4 2.660725-4 1.259765+4 3.090295-4 1.052277+4 3.589219-4 8.719071+3 4.466836-4 6.558834+3 5.128614-4 5.445508+3 6.025596-4 4.346832+3 7.413102-4 3.223493+3 9.015711-4 2.413897+3 1.122018-3 1.730782+3 1.412538-3 1.209827+3 1.778279-3 8.392819+2 2.238721-3 5.777119+2 2.786121-3 4.020425+2 3.427678-3 2.830076+2 4.168694-3 2.016396+2 5.559043-3 1.202705+2 6.918310-3 8.067870+1 8.511380-3 5.485398+1 1.023293-2 3.864639+1 1.230269-2 2.700035+1 1.479108-2 1.872866+1 1.798871-2 1.259937+1 2.162719-2 8.612439+0 2.600160-2 5.843022+0 3.090295-2 4.032747+0 3.715352-2 2.693941+0 4.466836-2 1.785440+0 5.248075-2 1.237420+0 6.309573-2 8.074391-1 7.673615-2 5.089280-1 9.225714-2 3.273034-1 1.148154-1 1.916949-1 1.531088-1 9.397082-2 2.722701-1 2.237683-2 3.311311-1 1.382605-2 3.935501-1 9.105264-3 4.570882-1 6.387165-3 5.248075-1 4.635658-3 6.025596-1 3.389295-3 6.839117-1 2.562728-3 7.762471-1 1.951404-3 8.810489-1 1.495591-3 9.772372-1 1.211123-3 1.174898+0 8.425108-4 1.303167+0 6.905336-4 1.479108+0 5.458552-4 1.678804+0 4.351212-4 1.927525+0 3.425296-4 2.187762+0 2.768960-4 2.483133+0 2.255422-4 2.851018+0 1.817382-4 3.311311+0 1.449174-4 3.845918+0 1.164118-4 4.518559+0 9.268370-5 5.370318+0 7.319878-5 6.382635+0 5.825574-5 7.673615+0 4.601911-5 9.225714+0 3.662159-5 1.161449+1 2.775055-5 1.479108+1 2.093147-5 1.949845+1 1.531150-5 2.600160+1 1.114725-5 3.630781+1 7.779301-6 5.308844+1 5.210210-6 8.413951+1 3.231450-6 1.640590+2 1.633318-6 3.273407+2 8.124277-7 6.531306+2 4.055808-7 5.188000+3 5.089167-8 1.000000+5 2.638400-9 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 1.769000-5 1.769000-5 1.000000+5 1.769000-5 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 1.769000-5 0.0 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 8.600000-6 1.835150+7 8.912509-6 1.773718+7 9.225714-6 1.705425+7 9.660509-6 1.605439+7 1.011579-5 1.497554+7 1.050000-5 1.407820+7 1.100000-5 1.293730+7 1.150000-5 1.186090+7 1.202264-5 1.081272+7 1.270000-5 9.575810+6 1.348963-5 8.308720+6 1.428894-5 7.208223+6 1.531087-5 6.034894+6 1.650000-5 4.942800+6 1.819701-5 3.775471+6 2.065380-5 2.640036+6 3.126079-5 8.061909+5 4.897788-5 2.252287+5 5.888437-5 1.326019+5 8.511380-5 4.549286+4 9.800000-5 3.041750+4 1.096478-4 2.221541+4 1.220000-4 1.659970+4 1.333521-4 1.311220+4 1.445440-4 1.066299+4 1.566751-4 8.737040+3 1.690000-4 7.301730+3 1.819701-4 6.174106+3 1.950000-4 5.313390+3 2.089296-4 4.607067+3 2.220000-4 4.089110+3 2.371374-4 3.616236+3 2.540973-4 3.205010+3 2.722701-4 2.861631+3 2.917427-4 2.572915+3 3.162278-4 2.290532+3 3.427678-4 2.054406+3 3.758374-4 1.828618+3 4.120975-4 1.639631+3 4.731513-4 1.406041+3 6.456542-4 1.000740+3 8.413951-4 7.442722+2 9.549926-4 6.424728+2 1.122018-3 5.286318+2 1.303167-3 4.380539+2 1.513561-3 3.603838+2 1.757924-3 2.941909+2 2.018366-3 2.421951+2 2.317395-3 1.979573+2 2.660725-3 1.605960+2 3.054921-3 1.292814+2 3.467369-3 1.052292+2 4.005000-3 8.259400+1 4.216965-3 7.666830+1 4.415704-3 7.128660+1 4.677351-3 6.462059+1 4.954502-3 5.818888+1 5.308844-3 5.096346+1 6.025596-3 3.953958+1 6.839116-3 3.100758+1 7.762471-3 2.414976+1 8.810489-3 1.868041+1 1.000000-2 1.435141+1 1.135011-2 1.094920+1 1.303167-2 8.088100+0 1.496236-2 5.927890+0 1.717908-2 4.311654+0 1.972423-2 3.112377+0 2.264644-2 2.229225+0 2.600160-2 1.584901+0 3.000000-2 1.105082+0 3.467369-2 7.614205-1 4.027170-2 5.143596-1 4.731513-2 3.345964-1 5.559043-2 2.159920-1 6.683439-2 1.299331-1 8.222426-2 7.277082-2 1.035142-1 3.792852-2 1.862087-1 7.100150-3 2.344229-1 3.704213-3 2.786121-1 2.289423-3 3.235937-1 1.518951-3 3.715352-1 1.047098-3 4.265795-1 7.271529-4 4.841724-1 5.244014-4 5.432503-1 3.923290-4 6.095369-1 2.956132-4 6.839117-1 2.243981-4 7.585776-1 1.763069-4 8.511380-1 1.358245-4 9.332543-1 1.110200-4 1.011579+0 9.373319-5 1.109175+0 7.784859-5 1.230269+0 6.366112-5 1.380384+0 5.133575-5 1.603245+0 3.918276-5 1.840772+0 3.075868-5 2.113489+0 2.432925-5 2.398833+0 1.977716-5 2.754229+0 1.590479-5 3.235937+0 1.244446-5 3.758374+0 9.985174-6 4.365158+0 8.069770-6 5.128614+0 6.462969-6 6.095369+0 5.133316-6 7.328245+0 4.047250-6 8.912509+0 3.169677-6 1.135011+1 2.366222-6 1.428894+1 1.807350-6 1.883649+1 1.320451-6 2.511886+1 9.604253-7 3.467369+1 6.780006-7 5.011872+1 4.591569-7 7.943282+1 2.844787-7 1.584893+2 1.403468-7 3.162278+2 6.979472-8 6.309573+2 3.483966-8 5.011872+3 4.370827-9 1.000000+5 2.18910-10 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 8.600000-6 8.600000-6 1.000000+5 8.600000-6 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 8.600000-6 0.0 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 6.350000-6 4.408500+7 6.683439-6 4.051456+7 7.100000-6 3.636480+7 7.585776-6 3.202449+7 8.035261-6 2.846859+7 8.511380-6 2.515738+7 9.015711-6 2.209551+7 9.660509-6 1.877230+7 1.035142-5 1.583145+7 1.109175-5 1.326022+7 1.202264-5 1.069938+7 1.310000-5 8.444860+6 1.445440-5 6.385463+6 1.603245-5 4.721201+6 1.862087-5 3.025166+6 2.851018-5 8.397765+5 3.467369-5 4.691173+5 4.120975-5 2.825918+5 4.677351-5 1.960600+5 5.188000-5 1.463011+5 5.688529-5 1.135455+5 6.165950-5 9.160512+4 6.650000-5 7.544880+4 7.161434-5 6.287034+4 7.673615-5 5.342914+4 8.222426-5 4.574636+4 8.810489-5 3.946167+4 9.500000-5 3.386460+4 1.020000-4 2.954320+4 1.096478-4 2.591186+4 1.174898-4 2.302805+4 1.260000-4 2.057780+4 1.350000-4 1.854024+4 1.462177-4 1.655935+4 1.600000-4 1.469464+4 1.778279-4 1.287834+4 2.065380-4 1.077844+4 3.090295-4 6.736046+3 4.265795-4 4.564393+3 5.011872-4 3.738835+3 5.754399-4 3.124590+3 6.683439-4 2.552043+3 8.222426-4 1.912436+3 9.332543-4 1.594435+3 1.109175-3 1.232735+3 1.303167-3 9.625074+2 1.531087-3 7.458762+2 1.778279-3 5.845083+2 2.065380-3 4.547818+2 2.398833-3 3.511929+2 2.786121-3 2.691099+2 3.235937-3 2.045936+2 3.672823-3 1.611208+2 4.216965-3 1.232103+2 4.841724-3 9.350810+1 5.559043-3 7.041447+1 6.382635-3 5.260903+1 7.328245-3 3.899630+1 8.413951-3 2.867687+1 9.660509-3 2.092041+1 1.096478-2 1.555838+1 1.244515-2 1.149301+1 1.428894-2 8.196240+0 1.621810-2 5.969843+0 1.862087-2 4.192605+0 2.113489-2 3.011406+0 2.426610-2 2.083175+0 2.786121-2 1.430231+0 3.198895-2 9.747565-1 3.715352-2 6.386376-1 4.315191-2 4.151674-1 5.069907-2 2.589834-1 6.000000-2 1.568900-1 7.161434-2 9.188343-2 8.810489-2 4.870408-2 1.083927-1 2.563876-2 1.757924-1 5.685718-3 2.213095-1 2.794641-3 2.600160-1 1.711612-3 3.000000-1 1.115800-3 3.427678-1 7.547698-4 3.890451-1 5.246150-4 4.365158-1 3.796756-4 4.841724-1 2.856747-4 5.370318-1 2.164082-4 5.956621-1 1.651048-4 6.606935-1 1.269055-4 7.328245-1 9.829476-5 8.413951-1 7.063470-5 9.015711-1 6.017681-5 9.660509-1 5.161075-5 1.023293+0 4.569308-5 1.109175+0 3.878622-5 1.216186+0 3.239590-5 1.333521+0 2.726254-5 1.531087+0 2.125266-5 1.778279+0 1.631317-5 2.044000+0 1.285100-5 2.317395+0 1.044410-5 2.630268+0 8.534649-6 3.019952+0 6.897879-6 3.507519+0 5.515497-6 4.073803+0 4.443033-6 4.786301+0 3.547175-6 5.688529+0 2.808819-6 6.760830+0 2.240812-6 8.128305+0 1.774294-6 9.885531+0 1.395500-6 1.202264+1 1.104045-6 1.531087+1 8.337944-7 2.000000+1 6.168200-7 2.660725+1 4.505080-7 3.715352+1 3.145750-7 5.495409+1 2.082587-7 8.609938+1 1.307841-7 1.659587+2 6.689840-8 3.311311+2 3.328005-8 6.606934+2 1.661423-8 5.248075+3 2.084843-9 1.000000+5 1.09340-10 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 6.350000-6 6.350000-6 1.000000+5 6.350000-6 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 6.350000-6 0.0 1.000000+5 1.000000+5 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 6.242450-7 1.025800+0 1.125020-6 1.026100+0 1.411470-6 1.026600+0 1.989850-6 1.027100+0 2.707230-6 1.027500+0 3.390780-6 1.028100+0 4.616490-6 1.028750+0 6.242450-6 1.029500+0 8.542960-6 1.030100+0 1.074380-5 1.031000+0 1.470120-5 1.032000+0 2.011490-5 1.033200+0 2.817760-5 1.034000+0 3.459060-5 1.035300+0 4.695180-5 1.036640+0 6.242450-5 1.038200+0 8.424390-5 1.039700+0 1.094500-4 1.041500+0 1.456220-4 1.043800+0 2.021270-4 1.046400+0 2.812220-4 1.048300+0 3.501300-4 1.051200+0 4.749430-4 1.054080+0 6.242450-4 1.057700+0 8.508860-4 1.061100+0 1.106790-3 1.065100+0 1.465270-3 1.070400+0 2.044200-3 1.076200+0 2.825090-3 1.080600+0 3.528070-3 1.087100+0 4.753470-3 1.093710+0 6.242450-3 1.102600+0 8.654970-3 1.110700+0 1.128760-2 1.120600+0 1.509920-2 1.133300+0 2.099390-2 1.147500+0 2.898590-2 1.158200+0 3.602210-2 1.174100+0 4.814560-2 1.190110+0 6.242450-2 1.205100+0 7.770980-2 1.227500+0 1.040120-1 1.250000+0 1.344000-1 1.265600+0 1.576080-1 1.294900+0 2.055000-1 1.331800+0 2.727820-1 1.362600+0 3.339620-1 1.397000+0 4.066120-1 1.433800+0 4.884050-1 1.477900+0 5.908760-1 1.500000+0 6.438000-1 1.562500+0 7.981240-1 1.617200+0 9.372890-1 1.712900+0 1.186110+0 1.784700+0 1.374550+0 1.892300+0 1.656480+0 2.000000+0 1.936000+0 2.044000+0 2.049000+0 2.163500+0 2.350210+0 2.372600+0 2.855500+0 2.686300+0 3.561900+0 3.000000+0 4.215000+0 3.500000+0 5.169180+0 4.000000+0 6.037000+0 5.000000+0 7.563000+0 6.000000+0 8.878000+0 7.000000+0 1.004000+1 8.000000+0 1.108000+1 9.000000+0 1.203000+1 1.000000+1 1.290000+1 1.100000+1 1.371000+1 1.200000+1 1.446000+1 1.300000+1 1.517000+1 1.400000+1 1.583000+1 1.500000+1 1.644000+1 1.600000+1 1.702000+1 1.800000+1 1.806000+1 2.000000+1 1.898000+1 2.200000+1 1.982000+1 2.400000+1 2.059000+1 2.600000+1 2.129000+1 2.800000+1 2.193000+1 3.000000+1 2.252000+1 4.000000+1 2.493000+1 5.000000+1 2.672000+1 6.000000+1 2.811000+1 8.000000+1 3.015000+1 1.000000+2 3.159000+1 1.500000+2 3.386000+1 2.000000+2 3.521000+1 3.000000+2 3.677000+1 4.000000+2 3.767000+1 5.000000+2 3.825000+1 6.000000+2 3.867000+1 8.000000+2 3.923000+1 1.000000+3 3.959000+1 1.500000+3 4.011000+1 2.000000+3 4.039000+1 3.000000+3 4.070000+1 4.000000+3 4.086000+1 5.000000+3 4.097000+1 6.000000+3 4.104000+1 8.000000+3 4.114000+1 1.000000+4 4.120000+1 1.500000+4 4.128000+1 2.000000+4 4.132000+1 3.000000+4 4.137000+1 4.000000+4 4.139000+1 5.000000+4 4.141000+1 6.000000+4 4.142000+1 8.000000+4 4.143000+1 1.000000+5 4.144000+1 1 83000 7 8 2.089800+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 8.307620-7 2.090400+0 1.127970-6 2.094700+0 1.462580-6 2.099900+0 1.945760-6 2.106600+0 2.706710-6 2.114000+0 3.745080-6 2.119500+0 4.662600-6 2.127900+0 6.323370-6 2.136250+0 8.307620-6 2.147000+0 1.139030-5 2.156900+0 1.479470-5 2.169000+0 1.974440-5 2.184500+0 2.744540-5 2.201800+0 3.797150-5 2.214800+0 4.730950-5 2.234200+0 6.363970-5 2.253680+0 8.307620-5 2.281500+0 1.163630-4 2.307000+0 1.528420-4 2.338200+0 2.055090-4 2.377400+0 2.846050-4 2.410200+0 3.619690-4 2.446800+0 4.604450-4 2.485900+0 5.797260-4 2.532900+0 7.419270-4 2.556430+0 8.307620-4 2.611900+0 1.059320-3 2.660400+0 1.280680-3 2.745300+0 1.714140-3 2.809000+0 2.075930-3 2.904500+0 2.674310-3 3.000000+0 3.338000-3 3.125000+0 4.303810-3 3.234400+0 5.236120-3 3.425800+0 7.049230-3 3.569300+0 8.545970-3 3.784700+0 1.098210-2 4.000000+0 1.360000-2 4.250000+0 1.679970-2 4.625000+0 2.182660-2 5.000000+0 2.705000-2 5.500000+0 3.421460-2 6.000000+0 4.147000-2 6.750000+0 5.225590-2 7.000000+0 5.580000-2 8.000000+0 6.964000-2 9.000000+0 8.286000-2 1.000000+1 9.539000-2 1.100000+1 1.072000-1 1.200000+1 1.184000-1 1.300000+1 1.288000-1 1.400000+1 1.388000-1 1.500000+1 1.482000-1 1.600000+1 1.571000-1 1.800000+1 1.735000-1 2.000000+1 1.885000-1 2.200000+1 2.021000-1 2.400000+1 2.145000-1 2.600000+1 2.260000-1 2.800000+1 2.366000-1 3.000000+1 2.465000-1 4.000000+1 2.870000-1 5.000000+1 3.174000-1 6.000000+1 3.413000-1 8.000000+1 3.769000-1 1.000000+2 4.026000-1 1.500000+2 4.445000-1 2.000000+2 4.705000-1 3.000000+2 5.019000-1 4.000000+2 5.205000-1 5.000000+2 5.331000-1 6.000000+2 5.423000-1 8.000000+2 5.550000-1 1.000000+3 5.633000-1 1.500000+3 5.757000-1 2.000000+3 5.827000-1 3.000000+3 5.902000-1 4.000000+3 5.947000-1 5.000000+3 5.974000-1 6.000000+3 5.993000-1 8.000000+3 6.018000-1 1.000000+4 6.034000-1 1.500000+4 6.055000-1 2.000000+4 6.068000-1 3.000000+4 6.079000-1 4.000000+4 6.087000-1 5.000000+4 6.092000-1 6.000000+4 6.095000-1 8.000000+4 6.098000-1 1.000000+5 6.100000-1 1 83000 7 8 2.089800+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 83000 7 9 2.089800+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 8.300000+1 1.000000+5 8.300000+1 5.000000+5 8.297700+1 7.187500+5 8.295400+1 9.062500+5 8.293920+1 1.000000+6 8.293300+1 1.250000+6 8.289610+1 1.500000+6 8.286600+1 2.000000+6 8.276300+1 2.500000+6 8.263200+1 3.000000+6 8.247300+1 3.500000+6 8.228690+1 4.000000+6 8.207700+1 4.500000+6 8.184600+1 5.000000+6 8.159200+1 5.500000+6 8.131500+1 6.250000+6 8.085480+1 6.500000+6 8.069790+1 7.000000+6 8.036800+1 7.875000+6 7.974610+1 8.625000+6 7.919640+1 9.000000+6 7.891400+1 1.000000+7 7.813100+1 1.125000+7 7.711020+1 1.187500+7 7.659260+1 1.250000+7 7.607000+1 1.375000+7 7.500450+1 1.500000+7 7.395600+1 1.687500+7 7.238810+1 1.750000+7 7.187700+1 1.937500+7 7.033710+1 2.000000+7 6.983500+1 2.250000+7 6.783670+1 2.375000+7 6.685580+1 2.500000+7 6.589500+1 2.875000+7 6.305630+1 3.000000+7 6.213500+1 3.437500+7 5.898150+1 3.812500+7 5.640850+1 4.000000+7 5.517300+1 4.500000+7 5.203580+1 5.000000+7 4.915400+1 5.750000+7 4.529570+1 6.000000+7 4.413100+1 6.750000+7 4.093120+1 7.000000+7 3.995400+1 7.750000+7 3.722690+1 8.000000+7 3.637700+1 8.750000+7 3.395620+1 9.000000+7 3.319000+1 9.750000+7 3.098380+1 1.000000+8 3.028100+1 1.062500+8 2.858420+1 1.156300+8 2.622970+1 1.187500+8 2.549770+1 1.250000+8 2.410900+1 1.500000+8 1.962800+1 1.625000+8 1.802690+1 1.750000+8 1.673100+1 1.789100+8 1.637440+1 2.000000+8 1.475400+1 2.250000+8 1.329550+1 2.375000+8 1.268860+1 2.500000+8 1.214000+1 2.671900+8 1.144240+1 2.789100+8 1.095830+1 2.875000+8 1.058490+1 2.894500+8 1.049740+1 3.000000+8 1.000300+1 3.125000+8 9.384470+0 3.359400+8 8.337500+0 3.453100+8 8.007230+0 3.500000+8 7.865500+0 4.000000+8 6.826100+0 4.125000+8 6.541860+0 4.234400+8 6.278770+0 4.425800+8 5.819780+0 4.712900+8 5.209360+0 4.750000+8 5.140440+0 4.856400+8 4.958040+0 5.000000+8 4.747400+0 5.179700+8 4.540550+0 5.234400+8 4.486960+0 6.000000+8 3.922600+0 6.250000+8 3.740530+0 7.000000+8 3.257900+0 7.625000+8 2.957250+0 7.875000+8 2.834770+0 8.000000+8 2.769500+0 8.250000+8 2.630000+0 8.468800+8 2.504270+0 8.851600+8 2.289290+0 9.569300+8 1.947410+0 9.856400+8 1.839860+0 1.000000+9 1.792700+0 1.031300+9 1.704890+0 1.060500+9 1.637670+0 1.100900+9 1.563110+0 1.137900+9 1.508790+0 1.183200+9 1.455760+0 1.241300+9 1.402630+0 1.333700+9 1.338270+0 1.375000+9 1.313500+0 1.472300+9 1.257630+0 1.500000+9 1.241400+0 1.589800+9 1.186140+0 1.665000+9 1.138220+0 1.748800+9 1.084460+0 1.838500+9 1.027670+0 1.946200+9 9.616220-1 2.000000+9 9.298900-1 2.139200+9 8.519400-1 2.272600+9 7.831270-1 2.443000+9 7.033790-1 2.602800+9 6.365080-1 2.750000+9 5.811480-1 2.822900+9 5.557150-1 3.024800+9 4.918190-1 3.271700+9 4.250030-1 3.487700+9 3.752910-1 3.759500+9 3.222880-1 3.986900+9 2.848200-1 4.348700+9 2.355850-1 4.674400+9 1.999740-1 5.000000+9 1.708100-1 5.375000+9 1.434870-1 5.703100+9 1.239640-1 6.277300+9 9.725940-2 7.031000+9 7.246000-2 8.000000+9 5.144800-2 1.00000+10 2.817900-2 4.01700+10 6.492660-4 6.15380+10 2.051110-4 1.00000+11 5.559700-5 1.34280+11 2.527850-5 2.20600+11 6.751140-6 4.19930+11 1.233520-6 1.03480+12 1.163230-7 3.24440+12 5.996230-9 1.00000+14 8.88850-13 3.16230+15 1.18124-16 1.00000+17 1.49450-20 1 83000 7 0 2.089800+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 7.00000-12 1.000000+2 7.00000-10 1.000000+3 7.000000-8 1.000000+4 7.000000-6 1.000000+5 7.000000-4 5.000000+5 1.750000-2 7.187500+5 3.616211-2 9.062500+5 5.749023-2 1.000000+6 7.000000-2 1.250000+6 1.088610-1 1.500000+6 1.558000-1 2.000000+6 2.744000-1 2.500000+6 4.235000-1 3.000000+6 6.010000-1 3.500000+6 8.042630-1 4.000000+6 1.030400+0 4.500000+6 1.276560+0 5.000000+6 1.540000+0 5.500000+6 1.817940+0 6.250000+6 2.256780+0 6.500000+6 2.407560+0 7.000000+6 2.714600+0 7.875000+6 3.263210+0 8.625000+6 3.740780+0 9.000000+6 3.981100+0 1.000000+7 4.622000+0 1.125000+7 5.419330+0 1.187500+7 5.815570+0 1.250000+7 6.209600+0 1.375000+7 6.989280+0 1.500000+7 7.757000+0 1.687500+7 8.882320+0 1.750000+7 9.250200+0 1.937500+7 1.032610+1 2.000000+7 1.067600+1 2.250000+7 1.202750+1 2.375000+7 1.267820+1 2.500000+7 1.331400+1 2.875000+7 1.514330+1 3.000000+7 1.573400+1 3.437500+7 1.775150+1 3.812500+7 1.943540+1 4.000000+7 2.026800+1 4.500000+7 2.245290+1 5.000000+7 2.458600+1 5.750000+7 2.765830+1 6.000000+7 2.864200+1 6.750000+7 3.142360+1 7.000000+7 3.229400+1 7.750000+7 3.471280+1 8.000000+7 3.546200+1 8.750000+7 3.754280+1 9.000000+7 3.819000+1 9.750000+7 4.000880+1 1.000000+8 4.058500+1 1.062500+8 4.195950+1 1.156300+8 4.390230+1 1.187500+8 4.451620+1 1.250000+8 4.572200+1 1.500000+8 5.015600+1 1.625000+8 5.216610+1 1.750000+8 5.405280+1 1.789100+8 5.462150+1 2.000000+8 5.746000+1 2.250000+8 6.039260+1 2.375000+8 6.168730+1 2.500000+8 6.288700+1 2.671900+8 6.436730+1 2.789100+8 6.527510+1 2.875000+8 6.590400+1 2.894500+8 6.603840+1 3.000000+8 6.675100+1 3.125000+8 6.753080+1 3.359400+8 6.883760+1 3.453100+8 6.930680+1 3.500000+8 6.953800+1 4.000000+8 7.163800+1 4.125000+8 7.208060+1 4.234400+8 7.245920+1 4.425800+8 7.307290+1 4.712900+8 7.390890+1 4.750000+8 7.400910+1 4.856400+8 7.429040+1 5.000000+8 7.466200+1 5.179700+8 7.509510+1 5.234400+8 7.522440+1 6.000000+8 7.679300+1 6.250000+8 7.721940+1 7.000000+8 7.833200+1 7.625000+8 7.905240+1 7.875000+8 7.930290+1 8.000000+8 7.941900+1 8.250000+8 7.962690+1 8.468800+8 7.980420+1 8.851600+8 8.007540+1 9.569300+8 8.049340+1 9.856400+8 8.063610+1 1.000000+9 8.070600+1 1.031300+9 8.083500+1 1.060500+9 8.095200+1 1.100900+9 8.110290+1 1.137900+9 8.122210+1 1.183200+9 8.135510+1 1.241300+9 8.150330+1 1.333700+9 8.170740+1 1.375000+9 8.178710+1 1.472300+9 8.195800+1 1.500000+9 8.200200+1 1.589800+9 8.212500+1 1.665000+9 8.222290+1 1.748800+9 8.232700+1 1.838500+9 8.241320+1 1.946200+9 8.251110+1 2.000000+9 8.255800+1 2.139200+9 8.264930+1 2.272600+9 8.271770+1 2.443000+9 8.279000+1 2.602800+9 8.284510+1 2.750000+9 8.288160+1 2.822900+9 8.289900+1 3.024800+9 8.292750+1 3.271700+9 8.295720+1 3.487700+9 8.297370+1 3.759500+9 8.298260+1 3.986900+9 8.298960+1 4.348700+9 8.299570+1 4.674400+9 8.299590+1 5.000000+9 8.299600+1 5.375000+9 8.299660+1 5.703100+9 8.299710+1 6.277300+9 8.299790+1 7.031000+9 8.299890+1 8.000000+9 8.300000+1 1.00000+10 8.300000+1 4.01700+10 8.300000+1 6.15380+10 8.300000+1 1.00000+11 8.300000+1 1.34280+11 8.300000+1 2.20600+11 8.300000+1 4.19930+11 8.300000+1 1.03480+12 8.300000+1 3.24440+12 8.300000+1 1.00000+14 8.300000+1 3.16230+15 8.300000+1 1.00000+17 8.300000+1 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.210218-6 0.0 2.215658-6 7.130899-7 2.221099-6 1.411008-6 2.226539-6 2.577322-6 2.231979-6 4.345719-6 2.237419-6 6.764076-6 2.242859-6 9.718722-6 2.248299-6 1.289032-5 2.253740-6 1.578237-5 2.259180-6 1.783753-5 2.264620-6 1.861020-5 2.270060-6 1.792343-5 2.275500-6 1.593475-5 2.281005-6 1.303986-5 2.291821-6 6.928541-6 2.297261-6 4.472825-6 2.302701-6 2.665484-6 2.308141-6 1.466304-6 2.313582-6 7.446056-7 2.319022-6 0.0 3.308086-6 0.0 3.320299-6 1.126892+0 3.324371-6 1.497758+0 3.332513-6 2.735778+0 3.340655-6 4.612897+0 3.349816-6 7.571147+0 3.364081-6 1.326771+1 3.373734-6 1.688873+1 3.382115-6 1.900933+1 3.390096-6 1.970199+1 3.398970-6 1.868440+1 3.407258-6 1.637053+1 3.420076-6 1.134604+1 3.430222-6 7.354513+0 3.438365-6 4.747818+0 3.446507-6 2.829360+0 3.454649-6 1.556454+0 3.466863-6 3.956569-1 3.470934-6 0.0 4.179926-6 0.0 4.190215-6 8.100827-7 4.200503-6 1.602930-6 4.210791-6 2.927883-6 4.221080-6 4.936813-6 4.231368-6 7.684109-6 4.241657-6 1.104064-5 4.251945-6 1.464363-5 4.262233-6 1.792905-5 4.272522-6 2.026374-5 4.282810-6 2.114151-5 4.293098-6 2.036134-5 4.303387-6 1.810216-5 4.313675-6 1.485623-5 4.333174-6 8.226062-6 4.344540-6 5.644204-6 4.354829-6 4.101082-6 4.365171-6 3.573691-6 4.375837-6 4.034818-6 4.385694-6 4.882291-6 4.397168-6 7.210845-6 4.407833-6 9.564026-6 4.418499-6 1.170979-5 4.429164-6 1.323462-5 4.439830-6 1.380791-5 4.450496-6 1.329836-5 4.461161-6 1.182286-5 4.471827-6 9.702877-6 4.493158-6 5.140659-6 4.503823-6 3.318630-6 4.514489-6 1.977666-6 4.525154-6 1.087930-6 4.535820-6 5.524631-7 4.546486-6 0.0 4.684770-6 0.0 4.692393-6 1.034206-1 4.707832-6 2.103680+0 4.715492-6 3.150468+0 4.727042-6 5.702463+0 4.738592-6 9.533686+0 4.750141-6 1.472160+1 4.784791-6 3.364113+1 4.797401-6 3.792253+1 4.808909-6 3.906353+1 4.821309-6 3.686390+1 4.832386-6 3.248133+1 4.865639-6 1.426586+1 4.877188-6 9.236601+0 4.888738-6 5.613822+0 4.900288-6 3.290199+0 4.915390-6 1.571813+0 4.920895-6 1.044452+0 4.923387-6 8.163959-1 4.931889-6 1.088424+0 4.950994-6 1.830682+0 4.966354-6 2.408357+0 4.978342-6 2.721970+0 4.990330-6 2.839877+0 5.002318-6 2.735079+0 5.014306-6 2.431611+0 5.033786-6 1.693517+0 5.050270-6 1.057281+0 5.062258-6 6.825438-1 5.074246-6 4.067473-1 5.086234-6 2.237550-1 5.104216-6 5.687943-2 5.110210-6 0.0 5.345322-6 0.0 5.349733-6 1.970579-2 5.376068-6 1.155196+0 5.389236-6 2.100129+0 5.402404-6 3.525586+0 5.418748-6 6.039224+0 5.452442-6 1.212133+1 5.457942-6 1.303379+1 5.471533-6 1.448536+1 5.485413-6 1.482973+1 5.498867-6 1.403468+1 5.512777-6 1.227099+1 5.548071-6 6.752025+0 5.561239-6 5.290820+0 5.573995-6 4.452911+0 5.587987-6 4.188869+0 5.614096-6 4.600713+0 5.628775-6 5.339823+0 5.641889-6 5.765872+0 5.659298-6 5.838538+0 5.670527-6 5.745706+0 5.700170-6 4.768030+0 5.712964-6 4.557094+0 5.726040-6 4.630001+0 5.741215-6 5.153764+0 5.780876-6 7.183273+0 5.796861-6 7.346933+0 5.809901-6 7.103745+0 5.829907-6 5.979359+0 5.863957-6 3.608753+0 5.878206-6 2.978340+0 5.893428-6 2.742513+0 5.907715-6 2.877166+0 5.937437-6 3.709569+0 5.953054-6 4.261820+0 5.967658-6 4.544639+0 5.985713-6 4.563701+0 6.038030-6 4.074206+0 6.196180-6 4.023482+0 6.256110-6 3.859773+0 6.301976-6 3.740794+0 6.352089-6 3.774012+0 6.462135-6 3.933211+0 6.896121-6 3.810407+0 6.928921-6 4.673408+0 6.946953-6 5.486262+0 6.965913-6 6.822529+0 6.984274-6 8.596371+0 7.033333-6 1.406437+1 7.051018-6 1.527273+1 7.066105-6 1.562965+1 7.085146-6 1.496555+1 7.104028-6 1.338703+1 7.151829-6 8.187573+0 7.169769-6 6.738059+0 7.185609-6 5.857554+0 7.202913-6 5.293089+0 7.235401-6 4.681588+0 7.268021-6 4.700860+0 7.307234-6 4.383242+0 7.359519-6 3.844500+0 7.403089-6 3.622832+0 7.440826-6 3.538877+0 7.557789-6 3.512742+0 7.596552-6 3.938522+0 7.615334-6 4.301937+0 7.634178-6 4.843088+0 7.657403-6 5.780044+0 7.711351-6 8.184353+0 7.727350-6 8.634031+0 7.743560-6 8.826418+0 7.765836-6 8.540727+0 7.792077-6 7.638652+0 7.845241-6 5.334485+0 7.862856-6 4.726186+0 7.888418-6 4.217815+0 7.920916-6 3.948137+0 7.932401-6 3.986915+0 7.964906-6 4.483741+0 8.037356-6 5.988162+0 8.059316-6 6.175164+0 8.085340-6 6.084932+0 8.154488-6 5.327341+0 8.196322-6 5.254666+0 8.267419-6 5.418763+0 8.563501-6 5.332729+0 8.700304-6 5.277516+0 8.904499-6 5.189162+0 8.947645-6 7.162472+0 8.970930-6 8.982853+0 8.992846-6 1.156727+1 9.016131-6 1.533727+1 9.080509-6 2.789606+1 9.104602-6 3.082765+1 9.126053-6 3.160894+1 9.149385-6 3.016740+1 9.170739-6 2.715536+1 9.232548-6 1.494586+1 9.257203-6 1.108896+1 9.276379-6 8.811186+0 9.298295-6 7.081036+0 9.342126-6 4.958028+0 1.111404-5 4.114914+0 1.116875-5 8.808570+0 1.119611-5 1.269662+1 1.122517-5 1.910199+1 1.125424-5 2.790521+1 1.133289-5 5.679887+1 1.136467-5 6.407545+1 1.138958-5 6.606534+1 1.141747-5 6.331204+1 1.144723-5 5.554237+1 1.152438-5 2.709772+1 1.155173-5 1.887143+1 1.157909-5 1.281380+1 1.160645-5 8.790263+0 1.166116-5 3.861115+0 1.395064-5 2.938765+0 1.540689-5 2.495114+0 1.545537-5 2.523164+0 1.552323-5 2.748300+0 1.556600-5 2.993101+0 1.561234-5 3.400844+0 1.566558-5 4.042677+0 1.575136-5 5.137644+0 1.579413-5 5.465458+0 1.583215-5 5.533602+0 1.587849-5 5.283371+0 1.591196-5 4.930450+0 1.601751-5 3.480539+0 1.605553-5 3.054242+0 1.609355-5 2.740930+0 1.614560-5 2.481176+0 1.621431-5 2.262451+0 1.633874-5 2.232171+0 1.645991-5 2.334770+0 1.654565-5 2.545674+0 1.666638-5 2.958664+0 1.674296-5 3.072347+0 1.682848-5 2.932170+0 1.695005-5 2.613234+0 1.702983-5 2.549026+0 1.728750-5 2.563362+0 1.780970-5 2.423048+0 1.807512-5 2.311700+0 1.982600-5 1.890995+0 2.187746-5 1.528102+0 2.431341-5 1.218908+0 2.513933-5 1.135686+0 2.526308-5 2.939766+0 2.532496-5 4.434880+0 2.538684-5 6.704793+0 2.545645-5 1.028470+1 2.563435-5 2.139971+1 2.570278-5 2.414347+1 2.576769-5 2.489007+1 2.582999-5 2.372424+1 2.589297-5 2.091368+1 2.599800-5 1.431062+1 2.606749-5 9.968364+0 2.611862-5 7.353419+0 2.613323-5 6.815649+0 2.619474-5 5.207905+0 2.625312-5 4.409437+0 2.632068-5 4.671780+0 2.637859-5 5.382718+0 2.644905-5 8.043771+0 2.663442-5 1.649825+1 2.670217-5 1.851562+1 2.676740-5 1.914693+1 2.682981-5 1.841023+1 2.689811-5 1.623135+1 2.700057-5 1.154768+1 2.708294-5 7.752182+0 2.714723-5 5.344051+0 2.721151-5 3.570542+0 2.727580-5 2.392215+0 2.740438-5 9.478115-1 2.832882-5 8.849945-1 2.846828-5 1.054657+0 2.853801-5 1.197824+0 2.860773-5 1.417154+0 2.869247-5 1.800339+0 2.888664-5 2.846412+0 2.895637-5 3.102249+0 2.902610-5 3.195936+0 2.909583-5 3.105017+0 2.918082-5 2.766042+0 2.937474-5 1.698076+0 2.944447-5 1.383451+0 2.947247-5 1.290154+0 2.951419-5 1.218511+0 2.958392-5 1.174774+0 2.961756-5 1.182433+0 2.969010-5 1.274537+0 2.972338-5 1.361535+0 2.976264-5 1.517684+0 2.983519-5 1.913242+0 3.005281-5 3.391165+0 3.013462-5 3.742104+0 3.020804-5 3.833528+0 3.028147-5 3.682323+0 3.035824-5 3.304357+0 3.054606-5 2.111200+0 3.061718-5 1.774702+0 3.063943-5 1.683056+0 3.070570-5 1.517810+0 3.073771-5 1.488759+0 3.080269-5 1.500904+0 3.092889-5 1.627446+0 3.103673-5 1.894745+0 3.112685-5 2.037785+0 3.120347-5 2.101402+0 3.134905-5 2.094687+0 3.196910-5 1.914290+0 3.228995-5 1.942502+0 3.250592-5 2.028694+0 3.266877-5 2.189468+0 3.282880-5 2.469452+0 3.297907-5 2.921924+0 3.320888-5 3.679692+0 3.330890-5 3.855657+0 3.340892-5 3.827077+0 3.354470-5 3.551659+0 3.378900-5 2.945405+0 3.386901-5 2.847334+0 3.398529-5 2.850606+0 3.414334-5 2.981287+0 3.444072-5 3.338402+0 3.522003-5 3.716887+0 3.623397-5 4.547836+0 3.710000-5 5.537830+0 3.801894-5 6.932375+0 3.901665-5 8.924920+0 4.018721-5 1.196329+1 4.159771-5 1.659953+1 4.560650-5 3.191499+1 4.740000-5 3.686700+1 4.930052-5 3.943418+1 5.132324-5 3.950789+1 5.469006-5 3.636172+1 6.346313-5 2.588293+1 7.018592-5 1.965587+1 7.574867-5 1.561950+1 8.140141-5 1.238614+1 8.758996-5 9.697165+0 9.225428-5 8.129578+0 9.316257-5 8.183626+0 9.435253-5 8.919434+0 9.481799-5 8.864729+0 9.569474-5 8.330485+0 1.101619-4 5.695888+0 1.174238-4 4.641536+0 1.188334-4 4.599758+0 1.204550-4 4.772176+0 1.247041-4 4.717427+0 1.333521-4 4.027704+0 1.440000-4 3.210508+0 1.547608-4 2.632637+0 1.562845-4 2.689671+0 1.581891-4 2.993938+0 1.589509-4 2.966904+0 1.609126-4 2.506336+0 1.624114-4 2.344813+0 1.648594-4 2.392851+0 1.757570-4 2.946180+0 1.800000-4 2.966574+0 1.930000-4 2.809892+0 2.005000-4 2.856295+0 2.083150-4 3.062931+0 2.172076-4 3.513290+0 2.247003-4 4.091902+0 2.330000-4 4.971286+0 2.430000-4 6.363948+0 2.540973-4 8.244399+0 2.860779-4 1.457992+1 3.162278-4 2.035511+1 3.470000-4 2.482744+1 3.818348-4 2.824776+1 4.280182-4 3.071271+1 4.355390-4 3.161759+1 4.511058-4 3.231434+1 4.579323-4 3.310837+1 5.201608-4 3.425473+1 6.361583-4 3.283561+1 6.628413-4 3.271630+1 6.770634-4 3.373119+1 9.087777-4 2.874623+1 1.220518-3 2.252851+1 1.462966-3 1.877600+1 1.759189-3 1.536597+1 2.131870-3 1.230453+1 2.518257-3 1.006173+1 2.541619-3 1.024298+1 2.553064-3 1.086415+1 2.562338-3 1.193909+1 2.573078-3 1.397790+1 2.599263-3 2.055047+1 2.613559-3 2.293297+1 2.629502-3 2.401521+1 2.665744-3 2.490539+1 2.682941-3 2.672418+1 2.717801-3 3.238552+1 2.737340-3 3.373249+1 2.878798-3 3.203042+1 3.115101-3 2.865100+1 3.153459-3 2.939499+1 3.205331-3 3.137604+1 3.656144-3 2.643855+1 3.746771-3 2.682610+1 3.930662-3 2.532419+1 4.025360-3 2.532754+1 4.671017-3 2.055840+1 5.436414-3 1.650365+1 6.228865-3 1.347132+1 7.192419-3 1.084255+1 8.151734-3 8.941829+0 9.258550-3 7.335293+0 1.053477-2 5.986748+0 1.211306-2 4.793489+0 1.313088-2 4.236849+0 1.321778-2 4.363483+0 1.327425-2 4.685350+0 1.332347-2 5.227817+0 1.338379-2 6.242925+0 1.350345-2 8.532785+0 1.356364-2 9.280470+0 1.364311-2 9.699800+0 1.388171-2 9.604619+0 1.544897-2 8.041440+0 1.559644-2 8.183891+0 1.570671-2 8.770020+0 1.590144-2 1.016573+1 1.605236-2 1.046348+1 1.628603-2 1.070747+1 1.653523-2 1.140599+1 1.718006-2 1.092489+1 1.992763-2 8.670684+0 2.300052-2 6.901919+0 2.628376-2 5.559995+0 2.963680-2 4.564611+0 3.368140-2 3.690813+0 3.799758-2 3.015342+0 4.290422-2 2.454292+0 4.851447-2 1.990260+0 5.471488-2 1.618306+0 6.194800-2 1.305813+0 6.928273-2 1.074895+0 7.894775-2 8.562234-1 8.833330-2 7.042552-1 8.903053-2 7.150616-1 8.937361-2 7.567447-1 8.963811-2 8.297947-1 8.988930-2 9.494619-1 9.014505-2 1.133237+0 9.044650-2 1.430095+0 9.121553-2 2.343021+0 9.164324-2 2.719436+0 9.211719-2 2.936183+0 9.291070-2 3.006479+0 1.099045-1 2.317342+0 1.257973-1 1.866798+0 1.444347-1 1.489673+0 1.619339-1 1.235024+0 1.822756-1 1.017698+0 2.047401-1 8.412046-1 2.290868-1 7.004503-1 2.561770-1 5.845604-1 2.877327-1 4.857309-1 3.216368-1 4.083624-1 3.637318-1 3.386622-1 4.114728-1 2.822600-1 4.693998-1 2.339721-1 5.370318-1 1.948576-1 6.098659-1 1.652338-1 6.955746-1 1.405144-1 7.894360-1 1.211618-1 9.226325-1 1.022349-1 1.120601+0 8.312422-2 1.286622+0 7.110592-2 1.477239+0 6.082526-2 1.696098+0 5.203100-2 1.965395+0 4.406512-2 2.341267+0 3.614193-2 2.688134+0 3.091644-2 3.086391+0 2.644647-2 3.543651+0 2.262278-2 4.068655+0 1.935192-2 4.671441+0 1.655398-2 5.363532+0 1.416056-2 6.168251+0 1.209183-2 7.070513+0 1.036184-2 8.118035+0 8.863702-3 9.320751+0 7.582167-3 9.760024+0 7.197573-3 1.000000+1 1.494417-2 1 83000 7 0 2.089800+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-8.294502+1 3.017898-6-8.153456+1 3.267146-6-7.870573+1 3.313723-6-7.498002+1 3.352933-6-7.055353+1 3.369790-6-7.327555+1 3.390096-6-8.276843+1 3.414955-6-7.371788+1 3.434293-6-7.268779+1 3.494126-6-7.978507+1 3.667043-6-8.316253+1 4.461161-6-7.961729+1 4.631358-6-7.536407+1 4.684770-6-7.074334+1 4.742562-6-5.957719+1 4.758932-6-5.906841+1 4.775558-6-6.277908+1 4.793295-6-7.213101+1 4.808909-6-8.367967+1 4.835625-6-6.762322+1 4.852619-6-6.297889+1 4.867082-6-6.273936+1 4.900288-6-6.906505+1 4.942378-6-7.683700+1 4.990330-6-7.863677+1 5.086234-6-8.058051+1 5.238519-6-8.416731+1 5.355486-6-7.971914+1 5.423124-6-7.546608+1 5.457942-6-7.848802+1 5.488674-6-8.447036+1 5.525405-6-7.909679+1 5.562782-6-7.988227+1 5.628775-6-8.356060+1 5.711278-6-8.300846+1 5.774500-6-8.368517+1 5.848011-6-8.012638+1 5.953054-6-8.352948+1 6.332334-6-8.348992+1 6.840342-6-8.455220+1 6.997456-6-7.924210+1 7.046759-6-8.318129+1 7.061000-6-8.417444+1 7.116729-6-7.738933+1 7.169769-6-7.725511+1 7.289806-6-8.040650+1 7.590490-6-8.357786+1 7.695853-6-8.267978+1 7.738612-6-8.345965+1 7.827184-6-8.040031+1 8.021083-6-8.384817+1 8.182378-6-8.299153+1 8.713265-6-8.437502+1 8.896830-6-7.798279+1 9.016131-6-6.967788+1 9.057223-6-7.145809+1 9.099429-6-7.906371+1 9.117848-6-8.283951+1 9.170739-6-6.979240+1 9.207936-6-6.543794+1 9.251724-6-6.570995+1 9.384936-6-7.429809+1 9.630607-6-7.817464+1 1.043512-5-8.137186+1 1.088545-5-7.583562+1 1.104472-5-7.023627+1 1.110918-5-6.488390+1 1.123399-5-4.867535+1 1.126471-5-4.745198+1 1.129207-5-4.953827+1 1.132135-5-5.601254+1 1.135822-5-7.015790+1 1.138148-5-8.119902+1 1.142329-5-6.033479+1 1.145284-5-4.907594+1 1.147907-5-4.267994+1 1.150386-5-3.998730+1 1.152438-5-3.979326+1 1.155173-5-4.175814+1 1.169070-5-5.941215+1 1.179562-5-6.503225+1 1.201302-5-6.969959+1 1.262482-5-7.372557+1 1.556600-5-7.872602+1 1.579413-5-7.772020+1 1.601751-5-7.542131+1 1.670691-5-7.751826+1 2.321131-5-8.147913+1 2.433922-5-8.247801+1 2.504420-5-7.861414+1 2.546998-5-7.005813+1 2.558794-5-7.225150+1 2.573390-5-8.170408+1 2.576427-5-8.336044+1 2.591042-5-7.346266+1 2.602108-5-7.108237+1 2.614048-5-7.378503+1 2.642228-5-8.402833+1 2.656964-5-8.357158+1 2.662857-5-8.344873+1 2.691217-5-6.924759+1 2.703974-5-6.696709+1 2.721151-5-6.907240+1 2.757129-5-7.501868+1 2.885322-5-8.095162+1 2.942703-5-8.003768+1 3.004130-5-8.246552+1 3.054606-5-8.062612+1 3.146681-5-8.286931+1 3.330890-5-8.550709+1 3.489818-5-8.736792+1 4.188797-5-9.720458+1 4.450000-5-9.534492+1 4.817500-5-8.430253+1 5.239856-5-7.000240+1 5.625267-5-6.188646+1 6.099865-5-5.665781+1 6.853440-5-5.334643+1 8.140141-5-5.299743+1 9.648083-5-5.614466+1 1.188334-4-5.782635+1 1.268425-4-5.872720+1 1.665051-4-6.263489+1 2.172076-4-6.802589+1 2.672150-4-7.370883+1 3.100000-4-7.321729+1 4.355390-4-6.092211+1 5.650000-4-4.832671+1 6.361583-4-4.383209+1 6.724102-4-4.305506+1 6.988105-4-4.042362+1 7.765168-4-3.633417+1 8.998013-4-3.200588+1 1.030582-3-2.860158+1 1.220518-3-2.577058+1 1.462966-3-2.417984+1 1.759189-3-2.403760+1 2.051898-3-2.549049+1 2.263817-3-2.802094+1 2.400280-3-3.112430+1 2.485351-3-3.470234+1 2.529197-3-3.824944+1 2.577597-3-4.578405+1 2.594823-3-4.609848+1 2.636612-3-4.168172+1 2.665744-3-4.155159+1 2.696940-3-4.207788+1 2.724337-3-3.877093+1 2.756249-3-3.420479+1 2.800000-3-3.058082+1 2.878798-3-2.674623+1 2.984262-3-2.362215+1 3.077714-3-2.233599+1 3.129028-3-2.274673+1 3.163223-3-2.315854+1 3.194780-3-2.202678+1 3.254618-3-1.926545+1 3.343795-3-1.709294+1 3.473663-3-1.512868+1 3.603250-3-1.404336+1 3.690854-3-1.402580+1 3.793750-3-1.238625+1 3.900207-3-1.152164+1 3.976723-3-1.127507+1 4.088137-3-9.852022+0 4.262918-3-8.499465+0 4.479711-3-7.345333+0 4.786618-3-6.221014+0 5.151676-3-5.328838+0 5.590023-3-4.656447+0 6.025596-3-4.283132+0 6.707728-3-4.017940+0 7.490852-3-3.996253+0 8.522533-3-4.249267+0 9.678766-3-4.756940+0 1.094899-2-5.595434+0 1.186205-2-6.516098+0 1.247839-2-7.496208+0 1.286068-2-8.508379+0 1.308148-2-9.531333+0 1.321778-2-1.072617+1 1.336017-2-1.239804+1 1.343218-2-1.265958+1 1.352001-2-1.203218+1 1.367473-2-1.015372+1 1.381773-2-9.089439+0 1.405684-2-8.152701+0 1.439875-2-7.461162+0 1.482225-2-7.110984+0 1.520872-2-7.206516+0 1.544897-2-7.648670+0 1.570671-2-8.756846+0 1.581524-2-8.766255+0 1.609933-2-7.561928+0 1.638750-2-7.184471+0 1.673979-2-5.717633+0 1.704621-2-4.915185+0 1.748880-2-4.139894+0 1.810485-2-3.386309+0 1.867454-2-2.868236+0 1.922947-2-2.478060+0 1.992763-2-2.096265+0 2.057523-2-1.815984+0 2.146427-2-1.514038+0 2.248711-2-1.259929+0 2.359296-2-1.060872+0 2.486262-2-9.030312-1 2.628376-2-7.853363-1 2.756087-2-7.210557-1 2.963680-2-6.723972-1 3.217363-2-6.639497-1 3.494975-2-6.963592-1 4.122447-2-8.421881-1 6.656772-2-1.590180+0 7.485580-2-1.901496+0 8.064614-2-2.212219+0 8.451304-2-2.540677+0 8.683097-2-2.866052+0 8.833330-2-3.226934+0 8.927315-2-3.652512+0 9.044650-2-4.433135+0 9.091036-2-4.499664+0 9.144751-2-4.258767+0 9.267129-2-3.369990+0 9.352711-2-2.990975+0 9.494583-2-2.608675+0 9.702197-2-2.253719+0 1.000911-1-1.917525+0 1.036295-1-1.654731+0 1.080447-1-1.427766+0 1.140996-1-1.224890+0 1.224060-1-1.048849+0 1.332562-1-9.098508-1 1.444347-1-8.329102-1 1.619339-1-7.753710-1 1.896570-1-7.552695-1 2.761586-1-8.153787-1 4.299500-1-9.107142-1 6.955746-1-9.756236-1 1.410753+0-1.008878+0 4.260405+0-1.021808+0 1.000000+1-1.022770+0 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 6.429172-4 1.074278-6 8.701456-4 1.158093-6 1.196354-3 1.214990-6 1.458937-3 1.252958-6 1.662198-3 1.332492-6 2.173946-3 1.499790-6 3.706558-3 1.578650-6 4.689105-3 1.652581-6 5.814372-3 1.721892-6 7.083868-3 1.800000-6 8.812914-3 1.847788-6 1.000541-2 1.904898-6 1.163601-2 2.055690-6 1.713752-2 2.143922-6 2.109798-2 2.221125-6 2.526109-2 2.288678-6 2.955142-2 2.347787-6 3.384663-2 2.399507-6 3.817623-2 2.490017-6 4.701116-2 2.562891-6 5.560694-2 2.608812-6 6.176512-2 2.685180-6 7.360951-2 2.788737-6 9.330424-2 2.863506-6 1.110638-1 2.981965-6 1.470427-1 3.063399-6 1.785834-1 3.135403-6 2.126323-1 3.205007-6 2.526539-1 3.270261-6 2.979895-1 3.331436-6 3.489971-1 3.388788-6 4.064394-1 3.446387-6 4.756543-1 3.492962-6 5.419042-1 3.540218-6 6.212906-1 3.584521-6 7.093220-1 3.626055-6 8.066166-1 3.664993-6 9.138942-1 3.701498-6 1.031812+0 3.735721-6 1.161235+0 3.767805-6 1.303121+0 3.797883-6 1.458328+0 3.826082-6 1.627776+0 3.852519-6 1.812507+0 3.877303-6 2.013548+0 3.900538-6 2.231933+0 3.922321-6 2.468824+0 3.942742-6 2.725502+0 3.961887-6 3.003243+0 3.979836-6 3.303276+0 3.998623-6 3.667630+0 4.012438-6 3.975425+0 4.027227-6 4.350422+0 4.041092-6 4.753401+0 4.054090-6 5.185930+0 4.066276-6 5.649635+0 4.077700-6 6.146234+0 4.088411-6 6.677579+0 4.098452-6 7.245695+0 4.107865-6 7.852840+0 4.116690-6 8.501596+0 4.124963-6 9.194980+0 4.133813-6 1.004935+1 4.139991-6 1.073034+1 4.146808-6 1.158096+1 4.159590-6 1.354181+1 4.170775-6 1.580463+1 4.180561-6 1.839119+1 4.189124-6 2.129541+1 4.196616-6 2.448070+1 4.203172-6 2.788536+1 4.208909-6 3.143268+1 4.213928-6 3.504166+1 4.222164-6 4.214866+1 4.235824-6 5.783566+1 4.249718-6 7.974736+1 4.256306-6 9.244601+1 4.259523-6 9.919428+1 4.267367-6 1.170969+2 4.269982-6 1.234954+2 4.280440-6 1.509170+2 4.281748-6 1.545151+2 4.290899-6 1.803507+2 4.294494-6 1.906477+2 4.301357-6 2.101308+2 4.306668-6 2.247210+2 4.311816-6 2.381405+2 4.317127-6 2.509371+2 4.322274-6 2.620371+2 4.326850-6 2.706118+2 4.332181-6 2.788382+2 4.338289-6 2.856549+2 4.343518-6 2.890938+2 4.345339-6 2.897500+2 4.350533-6 2.900552+2 4.355696-6 2.880536+2 4.358618-6 2.859169+2 4.363722-6 2.805008+2 4.367856-6 2.746226+2 4.375221-6 2.611482+2 4.379395-6 2.520082+2 4.382914-6 2.435855+2 4.386333-6 2.348610+2 4.390337-6 2.240775+2 4.395484-6 2.095238+2 4.400060-6 1.961495+2 4.404472-6 1.830521+2 4.405943-6 1.786717+2 4.411172-6 1.631550+2 4.416401-6 1.479081+2 4.422284-6 1.313362+2 4.426860-6 1.190229+2 4.437318-6 9.325470+1 4.440913-6 8.525353+1 4.444345-6 7.804937+1 4.447777-6 7.127415+1 4.453006-6 6.177508+1 4.458926-6 5.220299+1 4.463056-6 4.624064+1 4.468532-6 3.919773+1 4.473964-6 3.311620+1 4.482034-6 2.558622+1 4.490019-6 1.967472+1 4.495294-6 1.648663+1 4.505722-6 1.156198+1 4.526092-6 5.729089+0 4.564964-6 1.509394+0 4.574307-6 1.092667+0 4.583540-6 7.910404-1 4.601577-6 4.187259-1 4.610384-6 3.104096-1 4.619054-6 2.378705-1 4.627589-6 1.930615-1 4.635990-6 1.698871-1 4.644259-6 1.635614-1 4.652400-6 1.701786-1 4.660413-6 1.864290-1 4.668301-6 2.094163-1 4.676066-6 2.365545-1 4.683710-6 2.655232-1 4.691234-6 2.942675-1 4.702286-6 3.331492-1 4.716585-6 3.705682-1 4.727004-6 3.848934-1 4.741362-6 3.845817-1 4.754505-6 3.654181-1 4.767241-6 3.336712-1 4.785703-6 2.749147-1 4.797564-6 2.350899-1 4.858566-6 8.508849-2 4.958356-6 8.245447-2 5.001306-6 1.857795-1 5.165254-6 1.063180+0 5.241536-6 1.880471+0 5.279676-6 2.477159+0 5.330531-6 3.535837+0 5.382573-6 5.064883+0 5.419526-6 6.555234+0 5.448010-6 8.032737+0 5.474185-6 9.734808+0 5.487272-6 1.074414+1 5.500360-6 1.188292+1 5.513447-6 1.317435+1 5.526535-6 1.464742+1 5.539622-6 1.633904+1 5.552710-6 1.829715+1 5.565797-6 2.058558+1 5.578885-6 2.329188+1 5.591827-6 2.649974+1 5.596942-6 2.794867+1 5.613324-6 3.349009+1 5.627659-6 3.984992+1 5.640202-6 4.706666+1 5.651177-6 5.510946+1 5.660780-6 6.387338+1 5.669183-6 7.319344+1 5.676535-6 8.286919+1 5.682969-6 9.269061+1 5.693524-6 1.120035+2 5.708608-6 1.478872+2 5.728002-6 2.116177+2 5.740643-6 2.654872+2 5.744532-6 2.841367+2 5.756200-6 3.459189+2 5.763159-6 3.867586+2 5.765478-6 4.009882+2 5.779600-6 4.933284+2 5.781365-6 5.054458+2 5.793721-6 5.924185+2 5.798575-6 6.270529+2 5.807843-6 6.925003+2 5.811833-6 7.199769+2 5.818620-6 7.650530+2 5.823817-6 7.976636+2 5.828061-6 8.227568+2 5.833631-6 8.532017+2 5.839002-6 8.794766+2 5.845500-6 9.066491+2 5.851090-6 9.255418+2 5.859364-6 9.451749+2 5.865625-6 9.530042+2 5.874242-6 9.534998+2 5.880530-6 9.463049+2 5.894474-6 9.084938+2 5.898999-6 8.902192+2 5.908796-6 8.418935+2 5.914988-6 8.060105+2 5.920729-6 7.697357+2 5.925125-6 7.403669+2 5.931407-6 6.965458+2 5.936455-6 6.602079+2 5.939484-6 6.380971+2 5.946664-6 5.852873+2 5.949057-6 5.676904+2 5.956118-6 5.162608+2 5.963179-6 4.661666+2 5.967371-6 4.373403+2 5.974818-6 3.882628+2 5.978183-6 3.671015+2 5.991422-6 2.908153+2 5.996497-6 2.647157+2 6.002289-6 2.371233+2 6.010977-6 2.000930+2 6.022821-6 1.576863+2 6.053377-6 8.454411+1 6.067884-6 6.345999+1 6.071510-6 5.916853+1 6.082391-6 4.816411+1 6.096897-6 3.692760+1 6.125911-6 2.192627+1 6.140418-6 1.674501+1 6.144045-6 1.562129+1 6.154925-6 1.260377+1 6.163992-6 1.045626+1 6.169432-6 9.313724+0 6.176685-6 7.949122+0 6.185594-6 6.505535+0 6.207686-6 3.906280+0 6.213568-6 3.420370+0 6.224962-6 2.685989+0 6.235645-6 2.210654+0 6.245660-6 1.917205+0 6.255049-6 1.748237+0 6.290257-6 1.700423+0 6.304038-6 1.872518+0 6.304755-6 1.885056+0 6.314329-6 2.097471+0 6.324205-6 2.432036+0 6.332884-6 2.864441+0 6.336822-6 3.116138+0 6.340513-6 3.389755+0 6.343974-6 3.683430+0 6.350463-6 4.345101+0 6.356140-6 5.061488+0 6.361108-6 5.810275+0 6.372587-6 8.058747+0 6.384417-6 1.129740+1 6.393734-6 1.464423+1 6.401329-6 1.796914+1 6.406301-6 2.046135+1 6.411112-6 2.312446+1 6.425543-6 3.268302+1 6.431017-6 3.694397+1 6.432842-6 3.844252+1 6.448598-6 5.296228+1 6.450567-6 5.496603+1 6.464354-6 6.999173+1 6.469770-6 7.628946+1 6.480110-6 8.869671+1 6.487132-6 9.724347+1 6.494364-6 1.059746+2 6.498490-6 1.108609+2 6.505261-6 1.186225+2 6.510445-6 1.242719+2 6.514678-6 1.286462+2 6.520234-6 1.339980+2 6.526708-6 1.395834+2 6.528363-6 1.408858+2 6.535748-6 1.460137+2 6.542355-6 1.495726+2 6.546369-6 1.512256+2 6.554195-6 1.532849+2 6.561049-6 1.537882+2 6.565542-6 1.534529+2 6.572086-6 1.520324+2 6.578847-6 1.494381+2 6.591211-6 1.419582+2 6.597001-6 1.373731+2 6.601520-6 1.333809+2 6.607978-6 1.271292+2 6.612129-6 1.228204+2 6.618954-6 1.153442+2 6.625388-6 1.079660+2 6.630761-6 1.016484+2 6.637670-6 9.343661+1 6.645548-6 8.411458+1 6.651457-6 7.726032+1 6.655396-6 7.279582+1 6.662289-6 6.524830+1 6.669182-6 5.811158+1 6.678045-6 4.965075+1 6.686552-6 4.237903+1 6.709619-6 2.723292+1 6.716451-6 2.404877+1 6.721275-6 2.214830+1 6.726093-6 2.053020+1 6.729190-6 1.963366+1 6.732287-6 1.884664+1 6.735162-6 1.821168+1 6.741632-6 1.710840+1 6.745250-6 1.668004+1 6.746917-6 1.652636+1 6.751920-6 1.622488+1 6.759145-6 1.618926+1 6.762119-6 1.630304+1 6.763886-6 1.640420+1 6.776824-6 1.783738+1 6.782574-6 1.881888+1 6.794125-6 2.129605+1 6.810860-6 2.569538+1 6.818396-6 2.782451+1 6.826482-6 3.010623+1 6.831900-6 3.159435+1 6.839416-6 3.355627+1 6.843411-6 3.453316+1 6.851412-6 3.631457+1 6.857988-6 3.757401+1 6.865427-6 3.874514+1 6.870979-6 3.943118+1 6.878254-6 4.007858+1 6.882657-6 4.033161+1 6.890519-6 4.053112+1 6.898616-6 4.042194+1 6.903363-6 4.022557+1 6.913482-6 3.953841+1 6.925592-6 3.838324+1 6.946286-6 3.622992+1 6.956867-6 3.536520+1 6.964155-6 3.496319+1 6.972072-6 3.475531+1 6.979453-6 3.480849+1 6.992149-6 3.552049+1 6.998188-6 3.614986+1 7.010799-6 3.807787+1 7.015845-6 3.907781+1 7.020077-6 4.001335+1 7.025984-6 4.146201+1 7.038067-6 4.490540+1 7.073405-6 5.774366+1 7.081848-6 6.115506+1 7.090545-6 6.468929+1 7.102462-6 6.944524+1 7.108106-6 7.161696+1 7.114052-6 7.381999+1 7.120245-6 7.599831+1 7.126530-6 7.806257+1 7.136090-6 8.086309+1 7.145294-6 8.310590+1 7.155485-6 8.499369+1 7.165874-6 8.620607+1 7.174818-6 8.663779+1 7.183233-6 8.651342+1 7.191140-6 8.592912+1 7.195958-6 8.535576+1 7.206439-6 8.356551+1 7.213179-6 8.204603+1 7.217024-6 8.105990+1 7.223755-6 7.914318+1 7.229242-6 7.741714+1 7.236529-6 7.492738+1 7.243946-6 7.220066+1 7.248328-6 7.051560+1 7.255996-6 6.746673+1 7.261748-6 6.512086+1 7.274688-6 5.976544+1 7.291587-6 5.288721+1 7.329994-6 3.940004+1 7.342209-6 3.601526+1 7.348179-6 3.453598+1 7.359049-6 3.213503+1 7.369746-6 3.012832+1 7.379131-6 2.864232+1 7.388844-6 2.735418+1 7.399123-6 2.624270+1 7.408424-6 2.543662+1 7.418406-6 2.475687+1 7.424135-6 2.444352+1 7.432430-6 2.407709+1 7.442702-6 2.374773+1 7.453843-6 2.351954+1 7.466401-6 2.338913+1 7.482922-6 2.336631+1 7.506068-6 2.350790+1 7.577623-6 2.420479+1 7.620754-6 2.444215+1 7.667968-6 2.451026+1 7.748728-6 2.437442+1 7.990095-6 2.376503+1 8.066257-6 2.366099+1 8.147748-6 2.368177+1 8.219454-6 2.387775+1 8.277986-6 2.406997+1 8.327968-6 2.406820+1 8.350439-6 2.405038+1 8.365525-6 2.409336+1 8.376943-6 2.419343+1 8.385643-6 2.433105+1 8.396828-6 2.461786+1 8.405527-6 2.495330+1 8.416712-6 2.557281+1 8.421684-6 2.593035+1 8.429140-6 2.657858+1 8.436597-6 2.737971+1 8.445297-6 2.853714+1 8.450889-6 2.942404+1 8.456482-6 3.043465+1 8.465181-6 3.227666+1 8.473570-6 3.439579+1 8.482134-6 3.694201+1 8.492318-6 4.051952+1 8.501731-6 4.439908+1 8.519702-6 5.344779+1 8.552238-6 7.550064+1 8.555993-6 7.849190+1 8.574440-6 9.429962+1 8.581182-6 1.004553+2 8.595922-6 1.143508+2 8.602572-6 1.207136+2 8.612076-6 1.297725+2 8.619713-6 1.369263+2 8.628348-6 1.447638+2 8.637712-6 1.528215+2 8.646027-6 1.594673+2 8.655966-6 1.666302+2 8.667819-6 1.738457+2 8.677941-6 1.786978+2 8.683186-6 1.806960+2 8.693174-6 1.834742+2 8.702638-6 1.848261+2 8.712987-6 1.848627+2 8.721347-6 1.838080+2 8.725849-6 1.828502+2 8.741555-6 1.775005+2 8.751809-6 1.724762+2 8.757388-6 1.692975+2 8.768422-6 1.622131+2 8.777481-6 1.557341+2 8.788944-6 1.468889+2 8.801557-6 1.366035+2 8.808958-6 1.304237+2 8.821112-6 1.202306+2 8.830524-6 1.124268+2 8.844782-6 1.009803+2 8.868678-6 8.339344+1 8.917020-6 5.585938+1 8.932292-6 4.943148+1 8.953596-6 4.205250+1 8.974900-6 3.626029+1 8.996690-6 3.168112+1 9.018064-6 2.826077+1 9.038812-6 2.577441+1 9.049464-6 2.477621+1 9.073211-6 2.316724+1 9.081420-6 2.280126+1 9.086170-6 2.263368+1 9.114572-6 2.232411+1 9.121796-6 2.244318+1 9.130702-6 2.270787+1 9.137382-6 2.299526+1 9.146149-6 2.349317+1 9.156530-6 2.426808+1 9.167330-6 2.529835+1 9.171962-6 2.581287+1 9.180576-6 2.688921+1 9.190703-6 2.835739+1 9.204240-6 3.066655+1 9.221629-6 3.420578+1 9.257987-6 4.340823+1 9.275595-6 4.844547+1 9.285951-6 5.146355+1 9.298103-6 5.496704+1 9.310816-6 5.848932+1 9.321958-6 6.136783+1 9.332747-6 6.389601+1 9.338445-6 6.510632+1 9.349362-6 6.714591+1 9.360806-6 6.884235+1 9.370391-6 6.988195+1 9.381934-6 7.064467+1 9.384033-6 7.072467+1 9.406064-6 7.047660+1 9.412227-6 7.006288+1 9.428854-6 6.826645+1 9.439861-6 6.659676+1 9.453219-6 6.416059+1 9.468339-6 6.101490+1 9.481059-6 5.818976+1 9.524750-6 4.886939+1 9.540599-6 4.615649+1 9.563844-6 4.318927+1 9.570016-6 4.261949+1 9.587171-6 4.151455+1 9.594682-6 4.124258+1 9.606753-6 4.105174+1 9.617608-6 4.111124+1 9.630226-6 4.141011+1 9.646379-6 4.206654+1 9.703386-6 4.528496+1 9.745496-6 4.741834+1 9.772555-6 4.891736+1 9.788188-6 5.010499+1 9.799141-6 5.119274+1 9.809255-6 5.245365+1 9.820250-6 5.417659+1 9.829185-6 5.590294+1 9.838443-6 5.805412+1 9.848719-6 6.093798+1 9.858019-6 6.405760+1 9.868838-6 6.837021+1 9.879522-6 7.342674+1 9.892081-6 8.048208+1 9.901744-6 8.679009+1 9.914059-6 9.599978+1 9.927448-6 1.075541+2 9.956274-6 1.378625+2 9.978086-6 1.652564+2 9.993811-6 1.868311+2 1.000669-5 2.052332+2 1.001815-5 2.218484+2 1.002759-5 2.355063+2 1.003794-5 2.502427+2 1.004911-5 2.655833+2 1.005849-5 2.778187+2 1.007020-5 2.919893+2 1.007952-5 3.022016+2 1.009114-5 3.133624+2 1.010297-5 3.227092+2 1.011585-5 3.303340+2 1.012707-5 3.346676+2 1.015110-5 3.364841+2 1.015970-5 3.346855+2 1.017830-5 3.266630+2 1.018644-5 3.215105+2 1.019382-5 3.160573+2 1.020650-5 3.051494+2 1.021953-5 2.922113+2 1.023089-5 2.798147+2 1.024550-5 2.627857+2 1.025705-5 2.487784+2 1.026861-5 2.345761+2 1.028886-5 2.099048+2 1.031930-5 1.752625+2 1.036361-5 1.339234+2 1.037878-5 1.226534+2 1.039766-5 1.106412+2 1.041005-5 1.038908+2 1.042134-5 9.846170+1 1.043924-5 9.113538+1 1.045779-5 8.497898+1 1.048366-5 7.837647+1 1.050985-5 7.348888+1 1.052648-5 7.108126+1 1.055936-5 6.744658+1 1.059575-5 6.458490+1 1.062619-5 6.277073+1 1.065532-5 6.135293+1 1.068631-5 6.008021+1 1.073440-5 5.843615+1 1.077641-5 5.722880+1 1.083927-5 5.569058+1 1.089099-5 5.459049+1 1.104978-5 5.174199+1 1.126809-5 4.841100+1 1.141900-5 4.618788+1 1.157465-5 4.379382+1 1.170805-5 4.156560+1 1.178238-5 4.024005+1 1.190432-5 3.795885+1 1.195609-5 3.701131+1 1.200000-5 3.629950+1 1.204126-5 3.579279+1 1.207422-5 3.556435+1 1.211275-5 3.556494+1 1.214480-5 3.583119+1 1.217496-5 3.633328+1 1.220350-5 3.705598+1 1.223028-5 3.797554+1 1.225541-5 3.907690+1 1.227900-5 4.035219+1 1.231169-5 4.259159+1 1.233182-5 4.431232+1 1.235100-5 4.626258+1 1.236899-5 4.843192+1 1.238586-5 5.083762+1 1.240938-5 5.496118+1 1.243038-5 5.962402+1 1.244692-5 6.413612+1 1.246707-5 7.091128+1 1.248787-5 7.975239+1 1.250621-5 8.950750+1 1.251444-5 9.458927+1 1.253311-5 1.080180+2 1.254359-5 1.168551+2 1.255833-5 1.310902+2 1.257502-5 1.500778+2 1.259608-5 1.789759+2 1.265138-5 2.864839+2 1.266065-5 3.095470+2 1.268547-5 3.788804+2 1.270103-5 4.279089+2 1.273408-5 5.454086+2 1.273773-5 5.593669+2 1.276519-5 6.695856+2 1.277522-5 7.115613+2 1.279436-5 7.931024+2 1.281015-5 8.607163+2 1.282546-5 9.253792+2 1.284126-5 9.900279+2 1.285657-5 1.049532+3 1.287018-5 1.098904+3 1.288645-5 1.152471+3 1.290785-5 1.212007+3 1.292296-5 1.245371+3 1.293895-5 1.272048+3 1.295428-5 1.288763+3 1.296456-5 1.294952+3 1.297998-5 1.296577+3 1.299049-5 1.292452+3 1.301406-5 1.268242+3 1.302887-5 1.243057+3 1.304323-5 1.211970+3 1.305902-5 1.170977+3 1.307434-5 1.125406+3 1.308795-5 1.080902+3 1.310544-5 1.019402+3 1.312100-5 9.618846+2 1.314044-5 8.879421+2 1.316426-5 7.969775+2 1.320266-5 6.567960+2 1.322988-5 5.667727+2 1.329979-5 3.838024+2 1.332777-5 3.305211+2 1.334168-5 3.078856+2 1.335553-5 2.876633+2 1.337133-5 2.672026+2 1.338307-5 2.536412+2 1.341045-5 2.267941+2 1.343762-5 2.056966+2 1.346458-5 1.890537+2 1.350000-5 1.720703+2 1.353421-5 1.594856+2 1.357031-5 1.490374+2 1.362194-5 1.374909+2 1.367297-5 1.286743+2 1.372321-5 1.216814+2 1.377266-5 1.159667+2 1.382133-5 1.111932+2 1.386925-5 1.071358+2 1.396284-5 1.005798+2 1.405425-5 9.544371+1 1.414281-5 9.132288+1 1.422859-5 8.793207+1 1.439220-5 8.262926+1 1.447019-5 8.050972+1 1.462935-5 7.680001+1 1.483372-5 7.288232+1 1.513701-5 6.816121+1 1.545060-5 6.420832+1 1.573516-5 6.110165+1 1.668882-5 5.249196+1 1.722047-5 4.794155+1 1.746987-5 4.552088+1 1.767771-5 4.300816+1 1.780408-5 4.107206+1 1.789172-5 3.966254+1 1.795603-5 3.882081+1 1.796708-5 3.871249+1 1.804443-5 3.844674+1 1.808862-5 3.881668+1 1.809967-5 3.898191+1 1.813282-5 3.966657+1 1.814801-5 4.007760+1 1.817702-5 4.103218+1 1.821760-5 4.272234+1 1.827890-5 4.590239+1 1.835933-5 5.053313+1 1.840352-5 5.287202+1 1.844220-5 5.458407+1 1.845739-5 5.514434+1 1.849522-5 5.622017+1 1.851067-5 5.651998+1 1.853384-5 5.681313+1 1.855702-5 5.691934+1 1.857251-5 5.688890+1 1.859575-5 5.669844+1 1.861898-5 5.634689+1 1.866530-5 5.523678+1 1.870738-5 5.387047+1 1.875157-5 5.221299+1 1.889707-5 4.668212+1 1.892033-5 4.592846+1 1.899010-5 4.402434+1 1.903661-5 4.307653+1 1.908806-5 4.233227+1 1.913535-5 4.191584+1 1.918985-5 4.171687+1 1.925992-5 4.179941+1 1.941507-5 4.244696+1 1.946685-5 4.255631+1 1.953176-5 4.252593+1 1.962010-5 4.221003+1 1.995263-5 4.037347+1 2.043458-5 3.854440+1 2.064051-5 3.768918+1 2.158707-5 3.346254+1 2.217793-5 3.092043+1 2.296130-5 2.759738+1 2.375725-5 2.424136+1 2.454611-5 2.094386+1 2.536478-5 1.753737+1 2.595305-5 1.510512+1 2.628469-5 1.371569+1 2.658725-5 1.244668+1 2.698437-5 1.078721+1 2.729973-5 9.465894+0 2.756262-5 8.357846+0 2.776565-5 7.500965+0 2.796867-5 6.647809+0 2.817170-5 5.803184+0 2.837473-5 4.971753+0 2.851008-5 4.427969+0 2.864543-5 3.896864+0 2.877273-5 3.414760+0 2.884845-5 3.139446+0 2.893509-5 2.838983+0 2.909269-5 2.350874+0 2.916429-5 2.165391+0 2.923150-5 2.020072+0 2.926353-5 1.962567+0 2.930667-5 1.899018+0 2.935352-5 1.850468+0 2.939519-5 1.827709+0 2.942837-5 1.825172+0 2.944125-5 1.828271+0 2.946487-5 1.840366+0 2.950140-5 1.876891+0 2.952482-5 1.912910+0 2.954768-5 1.958674+0 2.959130-5 2.078870+0 2.961209-5 2.153451+0 2.963223-5 2.237819+0 2.967064-5 2.436366+0 2.970669-5 2.675409+0 2.972388-5 2.810405+0 2.975717-5 3.116709+0 2.978838-5 3.466052+0 2.981764-5 3.857931+0 2.984507-5 4.291206+0 2.987079-5 4.764050+0 2.989490-5 5.273978+0 2.991751-5 5.817934+0 2.995857-5 6.993448+0 2.999465-5 8.258826+0 3.008111-5 1.240333+1 3.015372-5 1.742752+1 3.020595-5 2.212090+1 3.025301-5 2.723602+1 3.028666-5 3.144901+1 3.030885-5 3.449248+1 3.033105-5 3.775016+1 3.036828-5 4.369970+1 3.040552-5 5.024715+1 3.041483-5 5.197470+1 3.046370-5 6.160237+1 3.048571-5 6.622067+1 3.055912-5 8.260623+1 3.058312-5 8.819101+1 3.062894-5 9.896049+1 3.066675-5 1.077790+2 3.068508-5 1.119709+2 3.071272-5 1.181288+2 3.074123-5 1.242045+2 3.076872-5 1.297208+2 3.079650-5 1.348805+2 3.082879-5 1.402619+2 3.085701-5 1.443495+2 3.089192-5 1.485259+2 3.092499-5 1.515147+2 3.094304-5 1.527316+2 3.097945-5 1.542745+2 3.101485-5 1.546088+2 3.103606-5 1.542721+2 3.107329-5 1.527588+2 3.110246-5 1.508154+2 3.112336-5 1.490551+2 3.116363-5 1.449276+2 3.120968-5 1.392934+2 3.126712-5 1.315198+2 3.137017-5 1.180408+2 3.141759-5 1.130494+2 3.145497-5 1.099716+2 3.147822-5 1.084938+2 3.151151-5 1.070006+2 3.154530-5 1.062547+2 3.157766-5 1.062615+2 3.161237-5 1.070157+2 3.165244-5 1.087560+2 3.169031-5 1.111242+2 3.175425-5 1.162495+2 3.183534-5 1.235205+2 3.189034-5 1.280365+2 3.192768-5 1.305780+2 3.197483-5 1.329259+2 3.200984-5 1.339259+2 3.206109-5 1.341061+2 3.210294-5 1.330648+2 3.212808-5 1.319237+2 3.216161-5 1.298178+2 3.218316-5 1.281265+2 3.220471-5 1.261861+2 3.224302-5 1.221696+2 3.228134-5 1.175140+2 3.231965-5 1.123316+2 3.235796-5 1.067415+2 3.237712-5 1.038313+2 3.242022-5 9.709794+1 3.243459-5 9.481774+1 3.251122-5 8.264460+1 3.253143-5 7.949072+1 3.258785-5 7.096142+1 3.265489-5 6.155475+1 3.274881-5 5.005268+1 3.281923-5 4.280639+1 3.288637-5 3.696256+1 3.294931-5 3.234375+1 3.300832-5 2.867784+1 3.306364-5 2.574337+1 3.317228-5 2.111701+1 3.325813-5 1.827007+1 3.333754-5 1.609431+1 3.347652-5 1.302399+1 3.389346-5 6.993660+0 3.393517-5 6.590823+0 3.406030-5 5.618865+0 3.414373-5 5.181052+0 3.422715-5 4.915813+0 3.426887-5 4.845613+0 3.431058-5 4.813972+0 3.433143-5 4.811545+0 3.436272-5 4.823157+0 3.439400-5 4.851218+0 3.442190-5 4.888212+0 3.446374-5 4.960687+0 3.462342-5 5.306605+0 3.464428-5 5.346053+0 3.472770-5 5.455305+0 3.481112-5 5.456391+0 3.483361-5 5.434422+0 3.489455-5 5.324114+0 3.492471-5 5.242084+0 3.496994-5 5.086319+0 3.501518-5 4.894262+0 3.504759-5 4.736917+0 3.509620-5 4.475268+0 3.512051-5 4.335172+0 3.514482-5 4.190405+0 3.518653-5 3.934572+0 3.522825-5 3.674726+0 3.531167-5 3.168079+0 3.539510-5 2.718832+0 3.552476-5 2.231769+0 3.554335-5 2.188995+0 3.556194-5 2.153813+0 3.558881-5 2.116766+0 3.561527-5 2.096623+0 3.569462-5 2.135673+0 3.574882-5 2.247680+0 3.576810-5 2.303652+0 3.583638-5 2.564882+0 3.585827-5 2.667723+0 3.601150-5 3.572368+0 3.606631-5 3.935993+0 3.609247-5 4.108741+0 3.613171-5 4.361486+0 3.617095-5 4.601026+0 3.619676-5 4.748477+0 3.621611-5 4.852661+0 3.625966-5 5.063565+0 3.627418-5 5.125802+0 3.631796-5 5.286265+0 3.635079-5 5.377846+0 3.637268-5 5.424471+0 3.641099-5 5.477564+0 3.644930-5 5.494229+0 3.646025-5 5.492385+0 3.653686-5 5.401700+0 3.657312-5 5.315566+0 3.664234-5 5.089352+0 3.666616-5 4.996838+0 3.670784-5 4.822580+0 3.673910-5 4.685154+0 3.688710-5 4.048475+0 3.693403-5 3.879984+0 3.698096-5 3.738931+0 3.706222-5 3.570609+0 3.708822-5 3.538389+0 3.716396-5 3.504113+0 3.719002-5 3.511960+0 3.726521-5 3.585052+0 3.735207-5 3.747288+0 3.739249-5 3.844640+0 3.749028-5 4.119356+0 3.765829-5 4.662235+0 3.793668-5 5.678804+0 3.804261-5 6.135312+0 3.815798-5 6.706670+0 3.824642-5 7.208929+0 3.832422-5 7.702940+0 3.842796-5 8.444014+0 3.860111-5 9.908084+0 3.885484-5 1.262844+1 3.905872-5 1.536783+1 3.925953-5 1.850360+1 3.935052-5 2.000425+1 3.944327-5 2.152738+1 3.950000-5 2.243295+1 3.953941-5 2.304209+1 3.960515-5 2.400927+1 3.964460-5 2.455413+1 3.972674-5 2.558829+1 3.977955-5 2.617486+1 3.983236-5 2.669821+1 3.992625-5 2.748018+1 4.002083-5 2.810907+1 4.027712-5 2.957925+1 4.033555-5 2.999528+1 4.039398-5 3.048142+1 4.047525-5 3.129884+1 4.051429-5 3.175617+1 4.060953-5 3.305588+1 4.070365-5 3.459070+1 4.080784-5 3.654785+1 4.120541-5 4.553902+1 4.140825-5 5.058387+1 4.175597-5 5.996296+1 4.220960-5 7.439023+1 4.278402-5 9.690899+1 4.328407-5 1.208717+2 4.388750-5 1.560954+2 4.440400-5 1.926134+2 4.493287-5 2.368446+2 4.522844-5 2.647705+2 4.554881-5 2.977133+2 4.592466-5 3.399848+2 4.617804-5 3.707182+2 4.660514-5 4.264746+2 4.693998-5 4.734849+2 4.720513-5 5.126848+2 4.745601-5 5.513134+2 4.776289-5 6.004678+2 4.812413-5 6.607047+2 4.833475-5 6.967804+2 4.857804-5 7.390789+2 4.890000-5 7.957123+2 4.935000-5 8.754035+2 4.970000-5 9.371574+2 5.000000-5 9.894503+2 5.040000-5 1.057688+3 5.081220-5 1.125593+3 5.120000-5 1.186653+3 5.146691-5 1.226856+3 5.196187-5 1.297054+3 5.242500-5 1.356820+3 5.290050-5 1.411166+3 5.321915-5 1.443244+3 5.355159-5 1.472880+3 5.400000-5 1.506526+3 5.451552-5 1.536108+3 5.507806-5 1.557745+3 5.561504-5 1.568753+3 5.590625-5 1.571284+3 5.640000-5 1.570915+3 5.711323-5 1.560913+3 5.773922-5 1.544598+3 5.879895-5 1.507573+3 6.058133-5 1.432919+3 6.483488-5 1.265964+3 6.734732-5 1.186659+3 7.171432-5 1.074950+3 8.063036-5 9.000073+2 8.715789-5 7.958833+2 9.238897-5 7.230945+2 9.586761-5 6.781937+2 9.750327-5 6.573083+2 9.958724-5 6.293824+2 1.013013-4 6.020859+2 1.024456-4 5.818811+2 1.029475-4 5.756792+2 1.032360-4 5.737283+2 1.037323-4 5.734728+2 1.051972-4 5.824357+2 1.057475-4 5.826524+2 1.081356-4 5.721757+2 1.114000-4 5.603335+2 1.156279-4 5.413493+2 1.186718-4 5.260779+2 1.216705-4 5.101982+2 1.270655-4 4.814152+2 1.313082-4 4.577943+2 1.329919-4 4.466336+2 1.349001-4 4.325422+2 1.356285-4 4.287762+2 1.365440-4 4.264020+2 1.374000-4 4.261403+2 1.395000-4 4.276309+2 1.415000-4 4.265299+2 1.462177-4 4.170678+2 1.497060-4 4.077251+2 1.548817-4 3.920721+2 1.606132-4 3.739683+2 1.693591-4 3.461605+2 1.722416-4 3.369794+2 1.777737-4 3.165721+2 1.841140-4 2.936736+2 1.867723-4 2.833502+2 1.880237-4 2.783780+2 1.900158-4 2.716617+2 1.925636-4 2.655966+2 1.948509-4 2.612074+2 1.973962-4 2.578963+2 2.005000-4 2.547948+2 2.025000-4 2.518790+2 2.066686-4 2.434857+2 2.100000-4 2.353095+2 2.128981-4 2.274762+2 2.155000-4 2.200971+2 2.182500-4 2.120678+2 2.230950-4 1.976412+2 2.281034-4 1.827736+2 2.332652-4 1.678828+2 2.467085-4 1.338840+2 2.512336-4 1.250993+2 2.540973-4 1.205254+2 2.570396-4 1.167171+2 2.592687-4 1.145070+2 2.626246-4 1.123834+2 2.680575-4 1.118653+2 2.731174-4 1.147816+2 2.800000-4 1.235854+2 2.823860-4 1.279296+2 2.886930-4 1.425677+2 2.918846-4 1.516420+2 2.962152-4 1.657769+2 3.000000-4 1.796664+2 3.179650-4 2.637317+2 3.240000-4 2.970192+2 3.294632-4 3.285315+2 3.355450-4 3.646820+2 3.430000-4 4.098323+2 3.525550-4 4.682412+2 3.637318-4 5.368681+2 3.765411-4 6.148384+2 3.884966-4 6.861202+2 4.000000-4 7.520226+2 4.123285-4 8.182806+2 4.245197-4 8.780031+2 4.394575-4 9.429673+2 4.512116-4 9.891132+2 4.610022-4 1.034499+3 4.684205-4 1.062260+3 4.713166-4 1.076980+3 4.760612-4 1.109127+3 4.809906-4 1.147032+3 4.850259-4 1.174281+3 4.882898-4 1.191097+3 4.933135-4 1.212599+3 4.980667-4 1.237015+3 5.080000-4 1.300344+3 5.195695-4 1.367021+3 5.378076-4 1.454052+3 5.585680-4 1.539997+3 5.824846-4 1.623347+3 6.121631-4 1.711098+3 6.409052-4 1.779820+3 6.614206-4 1.816782+3 6.811016-4 1.839185+3 6.910280-4 1.843743+3 6.960832-4 1.849898+3 7.010868-4 1.864678+3 7.053353-4 1.885554+3 7.160907-4 1.953838+3 7.244190-4 1.996469+3 7.396208-4 2.046721+3 7.670738-4 2.108743+3 7.924253-4 2.151298+3 8.360983-4 2.204808+3 8.613255-4 2.249616+3 8.895920-4 2.289172+3 9.225714-4 2.320530+3 9.723670-4 2.357570+3 9.988448-4 2.393347+3 1.033085-3 2.425038+3 1.082271-3 2.454863+3 1.139123-3 2.478069+3 1.197849-3 2.488398+3 1.264729-3 2.486007+3 1.341461-3 2.476708+3 1.426153-3 2.460081+3 1.508296-3 2.436289+3 1.598638-3 2.398571+3 1.693781-3 2.349448+3 1.799842-3 2.288380+3 1.909235-3 2.214096+3 2.008571-3 2.136153+3 2.104384-3 2.052525+3 2.192989-3 1.963669+3 2.268328-3 1.876542+3 2.333807-3 1.790773+3 2.392886-3 1.702414+3 2.443668-3 1.615206+3 2.488209-3 1.525792+3 2.520940-3 1.448867+3 2.548695-3 1.373035+3 2.567164-3 1.314663+3 2.588360-3 1.235960+3 2.605383-3 1.159784+3 2.618512-3 1.091656+3 2.627489-3 1.041435+3 2.643486-3 9.535324+2 2.650902-3 9.192846+2 2.656341-3 8.993852+2 2.661677-3 8.855087+2 2.665074-3 8.800571+2 2.668049-3 8.776409+2 2.671928-3 8.779624+2 2.676567-3 8.836403+2 2.681764-3 8.967844+2 2.687408-3 9.186649+2 2.693099-3 9.476688+2 2.702494-3 1.006527+3 2.713322-3 1.081574+3 2.720755-3 1.131304+3 2.725468-3 1.160335+3 2.732323-3 1.197822+3 2.739835-3 1.231781+3 2.748095-3 1.261058+3 2.756136-3 1.283539+3 2.771013-3 1.320900+3 2.777027-3 1.338852+3 2.782634-3 1.358964+3 2.789747-3 1.390498+3 2.797427-3 1.433039+3 2.804226-3 1.478028+3 2.817626-3 1.582880+3 2.828324-3 1.674760+3 2.835830-3 1.739075+3 2.844138-3 1.806945+3 2.853587-3 1.877240+3 2.864088-3 1.944886+3 2.875889-3 2.007641+3 2.889602-3 2.065383+3 2.902901-3 2.109537+3 2.920000-3 2.154705+3 2.944845-3 2.206429+3 2.971029-3 2.250532+3 3.002618-3 2.293873+3 3.037254-3 2.331230+3 3.071519-3 2.358299+3 3.106307-3 2.375918+3 3.138449-3 2.383074+3 3.173862-3 2.378777+3 3.198837-3 2.365700+3 3.234109-3 2.339770+3 3.247443-3 2.335565+3 3.259297-3 2.338830+3 3.270837-3 2.350141+3 3.280381-3 2.365897+3 3.301590-3 2.418135+3 3.325971-3 2.490985+3 3.342892-3 2.537779+3 3.359674-3 2.576415+3 3.379919-3 2.612388+3 3.406778-3 2.646584+3 3.438646-3 2.675228+3 3.478294-3 2.700753+3 3.526136-3 2.722059+3 3.574022-3 2.735796+3 3.630699-3 2.743460+3 3.678671-3 2.742688+3 3.724166-3 2.734400+3 3.809253-3 2.705651+3 3.843151-3 2.711240+3 3.935927-3 2.769902+3 3.968358-3 2.779461+3 4.007899-3 2.781994+3 4.102564-3 2.772739+3 4.141154-3 2.781063+3 4.230472-3 2.817953+3 4.315191-3 2.831513+3 4.466836-3 2.830700+3 4.648831-3 2.810065+3 4.919596-3 2.763049+3 5.156366-3 2.712425+3 5.591135-3 2.602682+3 5.971883-3 2.502341+3 6.321028-3 2.408221+3 6.785955-3 2.285460+3 7.314088-3 2.152251+3 7.832133-3 2.027667+3 8.545809-3 1.867372+3 8.928355-3 1.787357+3 9.312419-3 1.710267+3 1.013378-2 1.556429+3 1.059254-2 1.475423+3 1.102808-2 1.401277+3 1.139200-2 1.341108+3 1.174053-2 1.283610+3 1.203996-2 1.234453+3 1.230803-2 1.190028+3 1.254405-2 1.149793+3 1.274191-2 1.114793+3 1.290765-2 1.083970+3 1.305174-2 1.055392+3 1.316361-2 1.031369+3 1.327061-2 1.005932+3 1.335844-2 9.821384+2 1.342788-2 9.605585+2 1.348491-2 9.406092+2 1.366666-2 8.712858+2 1.372627-2 8.546628+2 1.375836-2 8.489732+2 1.378576-2 8.462654+2 1.381201-2 8.456214+2 1.383562-2 8.466590+2 1.388515-2 8.533973+2 1.395395-2 8.704548+2 1.408920-2 9.109812+2 1.413300-2 9.220502+2 1.417761-2 9.315121+2 1.423663-2 9.412823+2 1.429970-2 9.487758+2 1.438307-2 9.551902+2 1.448022-2 9.592421+2 1.459173-2 9.608581+2 1.470224-2 9.601751+2 1.482811-2 9.573196+2 1.497192-2 9.519414+2 1.514457-2 9.430510+2 1.527786-2 9.345517+2 1.554323-2 9.132652+2 1.568164-2 8.991859+2 1.578694-2 8.863672+2 1.594733-2 8.620987+2 1.614788-2 8.291384+2 1.622866-2 8.206045+2 1.630368-2 8.174451+2 1.637593-2 8.186345+2 1.662941-2 8.340421+2 1.693050-2 8.441843+2 1.727771-2 8.685070+2 1.742207-2 8.744751+2 1.767778-2 8.776139+2 1.802271-2 8.745890+2 1.862143-2 8.608506+2 1.937405-2 8.368978+2 2.027208-2 8.039063+2 2.165444-2 7.512074+2 2.331121-2 6.905531+2 2.520271-2 6.273527+2 2.748290-2 5.606626+2 3.015363-2 4.944072+2 3.412911-2 4.151526+2 3.672786-2 3.726892+2 3.983221-2 3.291074+2 4.512061-2 2.693398+2 5.110646-2 2.193983+2 5.511476-2 1.930167+2 6.229775-2 1.555927+2 7.017533-2 1.253354+2 7.609922-2 1.076270+2 8.081954-2 9.554035+1 8.421412-2 8.756287+1 8.676569-2 8.170970+1 8.860191-2 7.736011+1 8.930408-2 7.558922+1 8.992386-2 7.392048+1 9.043063-2 7.243397+1 9.120108-2 6.985355+1 9.254182-2 6.490693+1 9.291071-2 6.393157+1 9.328524-2 6.335536+1 9.368762-2 6.325354+1 9.411487-2 6.365706+1 9.533801-2 6.588261+1 9.600000-2 6.673928+1 9.636894-2 6.702661+1 9.683588-2 6.723339+1 9.801062-2 6.726048+1 9.939090-2 6.681805+1 1.009918-1 6.598368+1 1.035419-1 6.432824+1 1.066781-1 6.205665+1 1.118035-1 5.817441+1 1.175060-1 5.396733+1 1.260406-1 4.822393+1 1.374592-1 4.169196+1 1.582078-1 3.263301+1 1.865855-1 2.430387+1 2.257684-1 1.716692+1 2.748289-1 1.190597+1 3.521428-1 7.443556+0 4.786301-1 4.124203+0 7.045790-1 1.942947+0 1.173413+0 7.133801-1 1.947381+0 2.615005-1 4.260405+0 5.492144-2 1.286622+1 6.028307-3 3.885536+1 6.610417-4 1.173413+2 7.248238-5 3.543651+2 7.947541-6 1.258925+3 6.297013-7 3.981072+3 6.297013-8 1.258925+4 6.297013-9 3.981072+4 6.29701-10 1.000000+5 9.98009-11 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.453100-6 1.258900-6 2.303000-6 1.584900-6 3.650000-6 1.995300-6 5.784800-6 2.511900-6 9.168300-6 3.162300-6 1.453100-5 3.981100-6 2.303000-5 5.011900-6 3.649900-5 6.309600-6 5.784700-5 7.943300-6 9.168000-5 1.000000-5 1.453000-4 1.258900-5 2.302800-4 1.584900-5 3.649700-4 1.995300-5 5.784200-4 2.511900-5 9.167100-4 3.162300-5 1.452800-3 3.981100-5 2.302500-3 5.011900-5 3.649000-3 6.309600-5 5.782800-3 7.943300-5 9.158000-3 1.000000-4 1.450000-2 1.258900-4 2.296200-2 1.584900-4 3.631700-2 1.995300-4 5.740900-2 2.511900-4 9.059000-2 3.162300-4 1.426100-1 3.981100-4 2.236600-1 5.011900-4 3.487700-1 6.309600-4 5.375000-1 7.943300-4 8.151100-1 1.000000-3 1.211000+0 1.258900-3 1.753500+0 1.584900-3 2.467000+0 1.995300-3 3.370800+0 2.511900-3 4.483800+0 3.162300-3 5.807000+0 3.981100-3 7.328800+0 5.011900-3 9.071700+0 6.309600-3 1.110200+1 7.943300-3 1.345800+1 1.000000-2 1.610400+1 1.258900-2 1.887000+1 1.584900-2 2.166400+1 1.995300-2 2.443800+1 2.511900-2 2.717900+1 3.162300-2 2.975500+1 3.981100-2 3.197900+1 5.011900-2 3.366000+1 6.309600-2 3.456700+1 7.943300-2 3.522400+1 1.000000-1 3.511000+1 1.258900-1 3.445200+1 1.584900-1 3.328500+1 1.995300-1 3.173200+1 2.511900-1 2.991700+1 3.162300-1 2.792200+1 3.981100-1 2.583100+1 5.011900-1 2.371200+1 6.309600-1 2.160700+1 7.943300-1 1.955500+1 1.000000+0 1.757700+1 1.258900+0 1.569500+1 1.584900+0 1.392000+1 1.995300+0 1.226400+1 2.511900+0 1.073500+1 3.162300+0 9.337300+0 3.981100+0 8.073000+0 5.011900+0 6.940500+0 6.309600+0 5.935100+0 7.943300+0 5.051500+0 1.000000+1 4.280000+0 1.258900+1 3.611700+0 1.584900+1 3.036500+0 1.995300+1 2.544500+0 2.511900+1 2.125800+0 3.162300+1 1.771200+0 3.981100+1 1.472100+0 5.011900+1 1.220800+0 6.309600+1 1.010400+0 7.943300+1 8.347400-1 1.000000+2 6.884700-1 1.258900+2 5.669700-1 1.584900+2 4.662600-1 1.995300+2 3.829600-1 2.511900+2 3.141700-1 3.162300+2 2.574600-1 3.981100+2 2.107700-1 5.011900+2 1.723900-1 6.309600+2 1.408700-1 7.943300+2 1.150200-1 1.000000+3 9.384300-2 1.258900+3 7.650900-2 1.584900+3 6.233500-2 1.995300+3 5.075300-2 2.511900+3 4.129900-2 3.162300+3 3.358600-2 3.981100+3 2.729900-2 5.011900+3 2.217700-2 6.309600+3 1.800700-2 7.943300+3 1.461400-2 1.000000+4 1.185500-2 1.258900+4 9.612500-3 1.584900+4 7.791000-3 1.995300+4 6.312200-3 2.511900+4 5.112100-3 3.162300+4 4.138600-3 3.981100+4 3.349300-3 5.011900+4 2.709600-3 6.309600+4 2.191300-3 7.943300+4 1.771600-3 1.000000+5 1.431900-3 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159547-4 3.981072-4 3.976750-4 5.011872-4 5.005038-4 6.309573-4 6.298788-4 7.943282-4 7.926297-4 1.000000-3 9.973308-4 1.258925-3 1.254742-3 1.584893-3 1.578353-3 1.995262-3 1.985055-3 2.511886-3 2.495971-3 3.162278-3 3.137492-3 3.981072-3 3.942511-3 5.011872-3 4.951743-3 6.309573-3 6.215800-3 7.943282-3 7.796666-3 1.000000-2 9.771241-3 1.258925-2 1.223386-2 1.584893-2 1.530093-2 1.995262-2 1.910855-2 2.511886-2 2.382111-2 3.162278-2 2.963583-2 3.981072-2 3.678793-2 5.011872-2 4.556094-2 6.309573-2 5.628083-2 7.943282-2 6.930042-2 1.000000-1 8.509548-2 1.258925-1 1.041136-1 1.584893-1 1.270098-1 1.995262-1 1.544549-1 2.511886-1 1.871633-1 3.162278-1 2.260843-1 3.981072-1 2.722574-1 5.011872-1 3.268324-1 6.309573-1 3.912533-1 7.943282-1 4.671367-1 1.000000+0 5.565166-1 1.258925+0 6.618242-1 1.584893+0 7.861736-1 1.995262+0 9.332743-1 2.511886+0 1.107863+0 3.162278+0 1.315572+0 3.981072+0 1.563565+0 5.011872+0 1.860416+0 6.309573+0 2.216692+0 7.943282+0 2.645173+0 1.000000+1 3.161800+0 1.258925+1 3.785885+0 1.584893+1 4.541071+0 1.995262+1 5.456324+0 2.511886+1 6.567164+0 3.162278+1 7.917177+0 3.981072+1 9.559647+0 5.011872+1 1.156037+1 6.309573+1 1.400013+1 7.943282+1 1.697778+1 1.000000+2 2.061518+1 1.258925+2 2.506241+1 1.584893+2 3.050380+1 1.995262+2 3.716746+1 2.511886+2 4.533264+1 3.162278+2 5.534522+1 3.981072+2 6.762975+1 5.011872+2 8.271313+1 6.309573+2 1.012427+2 7.943282+2 1.240185+2 1.000000+3 1.520283+2 1.258925+3 1.864937+2 1.584893+3 2.289212+2 1.995262+3 2.811707+2 2.511886+3 3.455657+2 3.162278+3 4.249319+2 3.981072+3 5.228214+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090662-8 7.943282-5 1.728165-8 1.000000-4 2.738484-8 1.258925-4 4.339787-8 1.584893-4 6.875140-8 1.995262-4 1.089213-7 2.511886-4 1.725098-7 3.162278-4 2.731074-7 3.981072-4 4.322022-7 5.011872-4 6.834244-7 6.309573-4 1.078500-6 7.943282-4 1.698564-6 1.000000-3 2.669216-6 1.258925-3 4.183727-6 1.584893-3 6.540617-6 1.995262-3 1.020720-5 2.511886-3 1.591514-5 3.162278-3 2.478597-5 3.981072-3 3.856090-5 5.011872-3 6.012966-5 6.309573-3 9.377380-5 7.943282-3 1.466162-4 1.000000-2 2.287594-4 1.258925-2 3.553986-4 1.584893-2 5.479991-4 1.995262-2 8.440696-4 2.511886-2 1.297750-3 3.162278-2 1.986949-3 3.981072-2 3.022789-3 5.011872-2 4.557786-3 6.309573-2 6.814907-3 7.943282-2 1.013241-2 1.000000-1 1.490452-2 1.258925-1 2.177892-2 1.584893-1 3.147956-2 1.995262-1 4.507136-2 2.511886-1 6.402537-2 3.162278-1 9.014343-2 3.981072-1 1.258498-1 5.011872-1 1.743549-1 6.309573-1 2.397040-1 7.943282-1 3.271916-1 1.000000+0 4.434834-1 1.258925+0 5.971012-1 1.584893+0 7.987196-1 1.995262+0 1.061988+0 2.511886+0 1.404023+0 3.162278+0 1.846705+0 3.981072+0 2.417507+0 5.011872+0 3.151457+0 6.309573+0 4.092881+0 7.943282+0 5.298109+0 1.000000+1 6.838200+0 1.258925+1 8.803370+0 1.584893+1 1.130786+1 1.995262+1 1.449630+1 2.511886+1 1.855170+1 3.162278+1 2.370560+1 3.981072+1 3.025107+1 5.011872+1 3.855835+1 6.309573+1 4.909560+1 7.943282+1 6.245505+1 1.000000+2 7.938482+1 1.258925+2 1.008301+2 1.584893+2 1.279855+2 1.995262+2 1.623588+2 2.511886+2 2.058560+2 3.162278+2 2.608825+2 3.981072+2 3.304774+2 5.011872+2 4.184741+2 6.309573+2 5.297147+2 7.943282+2 6.703097+2 1.000000+3 8.479717+2 1.258925+3 1.072432+3 1.584893+3 1.355972+3 1.995262+3 1.714092+3 2.511886+3 2.166321+3 3.162278+3 2.737346+3 3.981072+3 3.458250+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 7.440000-6 5.801792+7 7.762471-6 5.447922+7 8.128305-6 5.048093+7 8.511380-6 4.641676+7 8.912509-6 4.236753+7 9.350000-6 3.826458+7 9.850000-6 3.399018+7 1.025000-5 3.087841+7 1.025000-5 5.453462+7 1.035142-5 5.365249+7 1.050000-5 5.235475+7 1.083927-5 4.941634+7 1.096478-5 4.833402+7 1.122018-5 4.617898+7 1.150000-5 4.388470+7 1.161449-5 4.295927+7 1.190000-5 4.072238+7 1.230269-5 3.773288+7 1.280000-5 3.426422+7 1.318257-5 3.181662+7 1.333521-5 3.089262+7 1.396368-5 2.734800+7 1.428894-5 2.568429+7 1.462177-5 2.410084+7 1.548817-5 2.047041+7 1.570000-5 1.967955+7 1.650000-5 1.701288+7 1.778279-5 1.360881+7 1.819701-5 1.269311+7 1.972423-5 9.938640+6 2.033000-5 9.061485+6 2.033000-5 1.048358+7 2.089296-5 9.614219+6 2.213095-5 7.998740+6 2.400000-5 6.175041+6 2.630268-5 4.621018+6 2.691535-5 4.299433+6 2.818383-5 3.723929+6 2.900000-5 3.408830+6 3.080000-5 2.831340+6 3.090295-5 2.802502+6 3.235937-5 2.436200+6 3.311311-5 2.272212+6 3.395400-5 2.107253+6 3.548134-5 1.847509+6 3.672823-5 1.667170+6 3.690000-5 1.644302+6 3.801894-5 1.505765+6 3.845918-5 1.455790+6 3.851000-5 1.450204+6 3.851000-5 3.877288+6 3.890451-5 3.941838+6 3.920000-5 4.012000+6 3.945000-5 4.087012+6 3.950000-5 4.105612+6 3.980000-5 4.221542+6 4.000000-5 4.313882+6 4.030000-5 4.476565+6 4.060000-5 4.670084+6 4.073803-5 4.772318+6 4.090000-5 4.896922+6 4.120975-5 5.169316+6 4.165000-5 5.630154+6 4.208000-5 6.173574+6 4.216000-5 6.288436+6 4.216000-5 7.592680+6 4.220000-5 7.658426+6 4.250000-5 8.174965+6 4.260000-5 8.359344+6 4.280000-5 8.759406+6 4.310000-5 9.412168+6 4.315191-5 9.532524+6 4.345000-5 1.028086+7 4.365158-5 1.083047+7 4.370000-5 1.096726+7 4.400000-5 1.186753+7 4.430000-5 1.286431+7 4.466836-5 1.422320+7 4.500000-5 1.558665+7 4.518559-5 1.641373+7 4.535000-5 1.716711+7 4.570882-5 1.894893+7 4.580000-5 1.941588+7 4.630000-5 2.220940+7 4.677351-5 2.510897+7 4.680000-5 2.528171+7 4.700000-5 2.656379+7 4.720000-5 2.791668+7 4.760000-5 3.068316+7 4.800000-5 3.354307+7 4.835000-5 3.609247+7 4.850000-5 3.717043+7 4.870000-5 3.865869+7 4.897788-5 4.064934+7 4.910000-5 4.155758+7 4.920000-5 4.226317+7 4.935000-5 4.333379+7 4.970000-5 4.576005+7 5.000000-5 4.774292+7 5.011872-5 4.848042+7 5.020000-5 4.899385+7 5.040000-5 5.025298+7 5.060000-5 5.140850+7 5.080000-5 5.256541+7 5.095000-5 5.335885+7 5.115300-5 5.442171+7 5.130000-5 5.512709+7 5.150000-5 5.605939+7 5.170000-5 5.690541+7 5.188000-5 5.763858+7 5.190000-5 5.772129+7 5.200000-5 5.808281+7 5.230000-5 5.911942+7 5.270000-5 6.023270+7 5.308844-5 6.103161+7 5.310100-5 6.105843+7 5.315000-5 6.114368+7 5.340000-5 6.147787+7 5.370318-5 6.179891+7 5.400000-5 6.188449+7 5.410000-5 6.191807+7 5.432503-5 6.189363+7 5.450000-5 6.182077+7 5.490000-5 6.149126+7 5.500000-5 6.137406+7 5.520000-5 6.108949+7 5.560000-5 6.040407+7 5.580000-5 6.000294+7 5.595000-5 5.967387+7 5.630000-5 5.882288+7 5.650000-5 5.829328+7 5.670000-5 5.777149+7 5.690000-5 5.719719+7 5.730000-5 5.601116+7 5.800000-5 5.381495+7 5.821032-5 5.313045+7 5.870000-5 5.158016+7 5.888437-5 5.097925+7 5.956621-5 4.879686+7 6.095369-5 4.453693+7 6.309573-5 3.868787+7 6.531306-5 3.360869+7 6.800000-5 2.851842+7 6.918310-5 2.658403+7 7.300000-5 2.129205+7 7.328245-5 2.095503+7 7.413102-5 1.996511+7 7.585776-5 1.810200+7 7.673615-5 1.723691+7 7.800000-5 1.606197+7 8.128305-5 1.340939+7 8.222426-5 1.274145+7 8.317638-5 1.209901+7 8.413951-5 1.148921+7 8.709636-5 9.839037+6 8.810489-5 9.339089+6 8.912509-5 8.860513+6 9.332543-5 7.180801+6 9.549926-5 6.465175+6 9.660509-5 6.134835+6 1.000000-4 5.242530+6 1.023293-4 4.718916+6 1.047129-4 4.248200+6 1.075200-4 3.765605+6 1.075200-4 4.596081+6 1.082000-4 4.508271+6 1.083927-4 4.482165+6 1.088000-4 4.427979+6 1.096478-4 4.311786+6 1.096700-4 4.308631+6 1.104000-4 4.206899+6 1.109175-4 4.134223+6 1.111000-4 4.108808+6 1.120000-4 3.981719+6 1.123000-4 3.940301+6 1.137000-4 3.747969+6 1.152000-4 3.551010+6 1.161449-4 3.431910+6 1.174898-4 3.271111+6 1.175000-4 3.269930+6 1.202264-4 2.969285+6 1.220000-4 2.790972+6 1.260000-4 2.433081+6 1.303167-4 2.110466+6 1.318257-4 2.010224+6 1.350000-4 1.818777+6 1.357300-4 1.778565+6 1.357300-4 2.181061+6 1.361000-4 2.176944+6 1.364583-4 2.171406+6 1.368500-4 2.163257+6 1.373000-4 2.151238+6 1.377000-4 2.138707+6 1.382000-4 2.120466+6 1.388000-4 2.095931+6 1.395000-4 2.064348+6 1.400000-4 2.040010+6 1.402000-4 2.030468+6 1.410000-4 1.990213+6 1.420000-4 1.938741+6 1.428894-4 1.892465+6 1.435000-4 1.861558+6 1.450000-4 1.785944+6 1.462177-4 1.728159+6 1.500000-4 1.562154+6 1.513561-4 1.508514+6 1.540000-4 1.411619+6 1.548817-4 1.381550+6 1.560000-4 1.344672+6 1.584893-4 1.268345+6 1.603245-4 1.217019+6 1.621810-4 1.168038+6 1.650000-4 1.100210+6 1.678804-4 1.037988+6 1.698244-4 9.988411+5 1.705000-4 9.860194+5 1.737801-4 9.279667+5 1.760000-4 8.917487+5 1.778279-4 8.642375+5 1.800000-4 8.335795+5 1.809700-4 8.204182+5 1.810000-4 8.200163+5 1.813400-4 8.155624+5 1.813400-4 8.662940+5 1.820000-4 8.584410+5 1.834000-4 8.424673+5 1.850000-4 8.246065+5 1.862087-4 8.116132+5 1.868000-4 8.054489+5 1.880000-4 7.930484+5 1.883649-4 7.894022+5 1.890000-4 7.832298+5 1.893000-4 7.803685+5 1.893000-4 9.059157+5 1.893600-4 9.075561+5 1.896000-4 9.122329+5 1.898200-4 9.161249+5 1.901200-4 9.208752+5 1.904000-4 9.247498+5 1.906000-4 9.271713+5 1.909000-4 9.302648+5 1.910000-4 9.310521+5 1.913000-4 9.334918+5 1.916000-4 9.352514+5 1.920000-4 9.367711+5 1.924000-4 9.374642+5 1.929000-4 9.373107+5 1.930000-4 9.370577+5 1.930900-4 9.368506+5 1.935000-4 9.359998+5 1.940000-4 9.339628+5 1.941000-4 9.335511+5 1.947000-4 9.301081+5 1.950000-4 9.280132+5 1.953000-4 9.259352+5 1.955000-4 9.243235+5 1.955000-4 1.022572+6 1.955600-4 1.023831+6 1.958000-4 1.027200+6 1.960200-4 1.029910+6 1.961000-4 1.030782+6 1.962500-4 1.032301+6 1.965500-4 1.034813+6 1.968500-4 1.036715+6 1.972423-4 1.038511+6 1.973000-4 1.038660+6 1.975500-4 1.039117+6 1.980000-4 1.039060+6 1.985000-4 1.038112+6 1.990000-4 1.036268+6 1.995262-4 1.033269+6 2.000000-4 1.029859+6 2.002000-4 1.028441+6 2.010000-4 1.021667+6 2.020000-4 1.012152+6 2.030000-4 1.002269+6 2.041738-4 9.905714+5 2.050000-4 9.823962+5 2.065380-4 9.680183+5 2.070000-4 9.639019+5 2.089296-4 9.482596+5 2.090000-4 9.476985+5 2.100000-4 9.408402+5 2.100100-4 9.407715+5 2.105000-4 9.374555+5 2.113489-4 9.322627+5 2.120000-4 9.288175+5 2.135000-4 9.221958+5 2.137962-4 9.210643+5 2.155000-4 9.159692+5 2.156300-4 9.156517+5 2.162719-4 9.145905+5 2.170000-4 9.136163+5 2.175000-4 9.132061+5 2.187762-4 9.131269+5 2.190000-4 9.132449+5 2.205000-4 9.150438+5 2.213095-4 9.169763+5 2.220000-4 9.188651+5 2.221900-4 9.195000+5 2.238721-4 9.263550+5 2.240000-4 9.269528+5 2.250000-4 9.323583+5 2.264644-4 9.413210+5 2.270000-4 9.452324+5 2.290868-4 9.623580+5 2.315000-4 9.865083+5 2.317395-4 9.891408+5 2.326900-4 1.000387+6 2.330000-4 1.004180+6 2.340000-4 1.016768+6 2.350000-4 1.030270+6 2.371374-4 1.062103+6 2.398833-4 1.108195+6 2.400000-4 1.110312+6 2.426610-4 1.162436+6 2.430000-4 1.169457+6 2.440000-4 1.190727+6 2.449500-4 1.212019+6 2.483133-4 1.293545+6 2.500000-4 1.338331+6 2.511886-4 1.371649+6 2.520000-4 1.395196+6 2.540973-4 1.457760+6 2.570396-4 1.553018+6 2.580000-4 1.585214+6 2.600160-4 1.656042+6 2.620000-4 1.726888+6 2.635000-4 1.783207+6 2.650000-4 1.840014+6 2.660725-4 1.881145+6 2.670000-4 1.917692+6 2.691535-4 2.002559+6 2.710000-4 2.077215+6 2.730000-4 2.158206+6 2.750000-4 2.240716+6 2.754229-4 2.257874+6 2.770000-4 2.323258+6 2.787700-4 2.396767+6 2.800000-4 2.447118+6 2.815000-4 2.510062+6 2.830000-4 2.572780+6 2.851018-4 2.659157+6 2.880000-4 2.779475+6 2.900000-4 2.861437+6 2.930000-4 2.984059+6 2.951209-4 3.069249+6 2.985383-4 3.206303+6 3.000000-4 3.263431+6 3.040300-4 3.419586+6 3.054921-4 3.474491+6 3.090295-4 3.605401+6 3.100000-4 3.642072+6 3.126079-4 3.732389+6 3.150000-4 3.816954+6 3.153500-4 3.828896+6 3.162278-4 3.857151+6 3.200000-4 3.980516+6 3.209300-4 4.009396+6 3.235937-4 4.088538+6 3.260000-4 4.160985+6 3.280000-4 4.213971+6 3.311311-4 4.297932+6 3.320000-4 4.321430+6 3.390000-4 4.484019+6 3.390900-4 4.485923+6 3.427678-4 4.557656+6 3.430000-4 4.562206+6 3.450000-4 4.601516+6 3.467369-4 4.633124+6 3.470000-4 4.637912+6 3.507519-4 4.698452+6 3.530000-4 4.734848+6 3.550000-4 4.764379+6 3.600000-4 4.828592+6 3.630781-4 4.863915+6 3.650000-4 4.885952+6 3.700000-4 4.933726+6 3.715352-4 4.946226+6 3.758374-4 4.981218+6 3.801894-4 5.009330+6 3.850000-4 5.034748+6 3.890451-4 5.049537+6 3.935501-4 5.061005+6 3.970000-4 5.069651+6 4.000000-4 5.072022+6 4.027170-4 5.070845+6 4.073803-4 5.068825+6 4.100000-4 5.067714+6 4.120975-4 5.063820+6 4.168694-4 5.050383+6 4.200000-4 5.041592+6 4.216965-4 5.036828+6 4.280000-4 5.006053+6 4.365158-4 4.965383+6 4.430000-4 4.922763+6 4.518559-4 4.865942+6 4.550000-4 4.843834+6 4.570882-4 4.827316+6 4.695400-4 4.731524+6 4.695400-4 4.885417+6 4.700000-4 4.884558+6 4.725000-4 4.878862+6 4.731513-4 4.877435+6 4.768000-4 4.868174+6 4.786301-4 4.860171+6 4.789300-4 4.858892+6 4.841724-4 4.838426+6 4.897788-4 4.809334+6 4.910000-4 4.802552+6 4.930000-4 4.789890+6 4.954502-4 4.771233+6 4.955600-4 4.770404+6 4.955600-4 4.836998+6 4.968000-4 4.834866+6 4.997000-4 4.828512+6 5.011872-4 4.826299+6 5.018000-4 4.825640+6 5.020000-4 4.825260+6 5.040000-4 4.818260+6 5.055000-4 4.812959+6 5.069907-4 4.808671+6 5.080000-4 4.806069+6 5.082100-4 4.805449+6 5.085000-4 4.804450+6 5.135000-4 4.776308+6 5.143000-4 4.771320+6 5.150000-4 4.766511+6 5.248075-4 4.691490+6 5.308844-4 4.645616+6 5.350000-4 4.613710+6 5.370318-4 4.597531+6 5.400000-4 4.574168+6 5.432503-4 4.547017+6 5.500000-4 4.492102+6 5.559043-4 4.441638+6 5.650000-4 4.362596+6 5.688529-4 4.329522+6 5.717600-4 4.304958+6 5.754399-4 4.272656+6 5.800000-4 4.233322+6 5.821032-4 4.215441+6 5.850000-4 4.190187+6 5.900000-4 4.147019+6 6.025596-4 4.041808+6 6.100000-4 3.979171+6 6.165950-4 3.923281+6 6.200000-4 3.895038+6 6.237348-4 3.864541+6 6.382635-4 3.749117+6 6.456542-4 3.690667+6 6.515100-4 3.643523+6 6.531306-4 3.630584+6 6.683439-4 3.513532+6 6.700000-4 3.501244+6 6.760830-4 3.456302+6 6.850000-4 3.389667+6 6.918310-4 3.339088+6 7.000000-4 3.280515+6 7.049600-4 3.245321+6 7.049600-4 3.441367+6 7.079458-4 3.419960+6 7.190600-4 3.342492+6 7.244360-4 3.306176+6 7.300000-4 3.268338+6 7.328245-4 3.248827+6 7.413102-4 3.191178+6 7.585776-4 3.079754+6 7.673615-4 3.024814+6 7.690000-4 3.014472+6 7.762471-4 2.969284+6 7.852356-4 2.913755+6 7.943282-4 2.859520+6 8.000000-4 2.826375+6 8.035261-4 2.805900+6 8.128305-4 2.753115+6 8.200000-4 2.713750+6 8.222426-4 2.701370+6 8.317638-4 2.649933+6 8.350000-4 2.632433+6 8.413951-4 2.598107+6 8.443000-4 2.582654+6 8.443000-4 2.617556+6 8.709636-4 2.482961+6 8.810489-4 2.434950+6 8.912509-4 2.386653+6 9.000000-4 2.345966+6 9.015711-4 2.338790+6 9.120108-4 2.292046+6 9.225714-4 2.246086+6 9.332543-4 2.200613+6 9.440609-4 2.156069+6 9.549926-4 2.111782+6 9.660509-4 2.067946+6 9.716400-4 2.046201+6 9.716400-4 2.085798+6 9.772372-4 2.064297+6 9.850000-4 2.034779+6 1.000000-3 1.979730+6 1.011579-3 1.938939+6 1.023293-3 1.898590+6 1.030000-3 1.875999+6 1.035142-3 1.858952+6 1.048300-3 1.816034+6 1.050000-3 1.810612+6 1.059254-3 1.781247+6 1.071519-3 1.743565+6 1.083927-3 1.706679+6 1.096478-3 1.670671+6 1.110000-3 1.632529+6 1.122018-3 1.599514+6 1.158600-3 1.504204+6 1.161449-3 1.497176+6 1.174898-3 1.464461+6 1.188502-3 1.431856+6 1.190000-3 1.428336+6 1.216186-3 1.368973+6 1.230269-3 1.338466+6 1.244515-3 1.308540+6 1.258925-3 1.279366+6 1.264650-3 1.267970+6 1.273503-3 1.250662+6 1.288250-3 1.222568+6 1.294000-3 1.211774+6 1.303167-3 1.194869+6 1.318257-3 1.167845+6 1.330000-3 1.147386+6 1.364583-3 1.089954+6 1.380384-3 1.065016+6 1.400000-3 1.035139+6 1.412538-3 1.016575+6 1.428894-3 9.929964+5 1.445440-3 9.699846+5 1.450000-3 9.637946+5 1.462177-3 9.474707+5 1.513561-3 8.825763+5 1.531087-3 8.618836+5 1.548817-3 8.417326+5 1.566751-3 8.219232+5 1.584893-3 8.026178+5 1.610000-3 7.766099+5 1.621810-3 7.648197+5 1.659587-3 7.287536+5 1.678804-3 7.114242+5 1.698244-3 6.945541+5 1.717908-3 6.780119+5 1.730000-3 6.680388+5 1.737801-3 6.617184+5 1.757924-3 6.456788+5 1.770000-3 6.363446+5 1.819701-3 5.998472+5 1.862087-3 5.712444+5 1.864800-3 5.694578+5 1.883649-3 5.572720+5 1.900000-3 5.470197+5 1.905461-3 5.436443+5 1.927525-3 5.302435+5 1.949845-3 5.171874+5 1.950000-3 5.170985+5 1.972423-3 5.044793+5 2.000000-3 4.895675+5 2.041738-3 4.682568+5 2.065380-3 4.567157+5 2.070000-3 4.545100+5 2.089296-3 4.454573+5 2.113489-3 4.343634+5 2.187762-3 4.027235+5 2.220000-3 3.900333+5 2.238721-3 3.828817+5 2.264644-3 3.732951+5 2.317395-3 3.547183+5 2.344229-3 3.457715+5 2.398833-3 3.285501+5 2.426610-3 3.202877+5 2.450000-3 3.135769+5 2.454709-3 3.122405+5 2.483133-3 3.043027+5 2.511886-3 2.965491+5 2.521000-3 2.941497+5 2.570396-3 2.816013+5 2.630268-3 2.674144+5 2.660725-3 2.606048+5 2.685100-3 2.552986+5 2.685100-3 7.238860+5 2.691535-3 7.147068+5 2.722701-3 6.724064+5 2.725000-3 6.694238+5 2.733000-3 6.604414+5 2.748000-3 6.464436+5 2.754229-3 6.413662+5 2.760000-3 6.367084+5 2.786121-3 6.191386+5 2.800000-3 6.100652+5 2.803500-3 6.078036+5 2.803500-3 8.913724+5 2.810000-3 8.852624+5 2.824000-3 8.736352+5 2.830000-3 8.679736+5 2.851018-3 8.492668+5 2.860000-3 8.414447+5 2.884032-3 8.203449+5 2.917427-3 7.922439+5 2.920000-3 7.901349+5 2.951209-3 7.694135+5 3.000000-3 7.389310+5 3.019952-3 7.269577+5 3.054921-3 7.062180+5 3.090295-3 6.860822+5 3.150000-3 6.538863+5 3.162278-3 6.475269+5 3.198895-3 6.290521+5 3.220000-3 6.187353+5 3.235937-3 6.109930+5 3.273407-3 5.932958+5 3.281500-3 5.895684+5 3.281500-3 6.842257+5 3.311311-3 6.698215+5 3.349654-3 6.520339+5 3.400000-3 6.285697+5 3.427678-3 6.161815+5 3.507519-3 5.823610+5 3.548134-3 5.661692+5 3.589219-3 5.503832+5 3.630781-3 5.350477+5 3.672823-3 5.200925+5 3.715352-3 5.054384+5 3.718330-3 5.044347+5 3.758374-3 4.912133+5 3.801894-3 4.774035+5 3.840200-3 4.657037+5 3.840200-3 4.942592+5 3.845918-3 4.925204+5 3.890451-3 4.791981+5 3.900000-3 4.764110+5 3.910000-3 4.735103+5 3.935501-3 4.661731+5 3.990000-3 4.510364+5 4.027170-3 4.410770+5 4.073803-3 4.288228+5 4.127600-3 4.152935+5 4.127600-3 4.330476+5 4.168694-3 4.229139+5 4.265795-3 4.003257+5 4.300000-3 3.927899+5 4.315191-3 3.894746+5 4.365158-3 3.788438+5 4.415704-3 3.684875+5 4.466836-3 3.584284+5 4.518559-3 3.485745+5 4.570882-3 3.389730+5 4.650000-3 3.251678+5 4.677351-3 3.205736+5 4.731513-3 3.117538+5 4.786301-3 3.031920+5 4.800000-3 3.011053+5 4.841724-3 2.948717+5 4.897788-3 2.867060+5 4.900000-3 2.863907+5 4.954502-3 2.787782+5 5.011872-3 2.710282+5 5.128614-3 2.561499+5 5.150000-3 2.535548+5 5.188000-3 2.490274+5 5.308844-3 2.353824+5 5.370318-3 2.288598+5 5.432503-3 2.224848+5 5.495409-3 2.162711+5 5.559043-3 2.102056+5 5.600000-3 2.064320+5 5.623413-3 2.043189+5 5.754399-3 1.929570+5 5.821032-3 1.875046+5 5.888437-3 1.822102+5 5.900000-3 1.813227+5 5.956621-3 1.770278+5 6.025596-3 1.719894+5 6.095369-3 1.671023+5 6.165950-3 1.623595+5 6.237348-3 1.577590+5 6.309573-3 1.532975+5 6.382635-3 1.489686+5 6.456542-3 1.447572+5 6.500000-3 1.423620+5 6.531306-3 1.406640+5 6.606934-3 1.366731+5 6.683439-3 1.327979+5 6.760830-3 1.290391+5 6.839116-3 1.253918+5 6.918310-3 1.218425+5 7.000000-3 1.182976+5 7.079458-3 1.149912+5 7.161434-3 1.116944+5 7.244360-3 1.084798+5 7.300000-3 1.063976+5 7.328245-3 1.053619+5 7.413102-3 1.023285+5 7.500000-3 9.935206+4 7.585776-3 9.652096+4 7.762471-3 9.103843+4 7.800000-3 8.993215+4 7.852356-3 8.842014+4 7.943282-3 8.588040+4 8.035261-3 8.341145+4 8.128305-3 8.099944+4 8.222426-3 7.866083+4 8.317638-3 7.639162+4 8.413951-3 7.418888+4 8.511380-3 7.205299+4 8.609938-3 6.998209+4 8.709636-3 6.796653+4 8.810489-3 6.600978+4 8.912509-3 6.409766+4 9.015711-3 6.223317+4 9.120108-3 6.042058+4 9.225714-3 5.865540+4 9.332543-3 5.694330+4 9.440609-3 5.528227+4 9.660509-3 5.211152+4 9.772372-3 5.059154+4 1.000000-2 4.769023+4 1.011579-2 4.629773+4 1.023293-2 4.494609+4 1.035142-2 4.363585+4 1.040000-2 4.311411+4 1.050000-2 4.206350+4 1.059254-2 4.112301+4 1.071519-2 3.992246+4 1.083927-2 3.875475+4 1.096478-2 3.761871+4 1.109175-2 3.651758+4 1.122018-2 3.544302+4 1.135011-2 3.440156+4 1.148154-2 3.339107+4 1.161449-2 3.241055+4 1.174898-2 3.145695+4 1.188502-2 3.052931+4 1.190000-2 3.042956+4 1.216186-2 2.875536+4 1.230269-2 2.790920+4 1.244515-2 2.708920+4 1.258925-2 2.629177+4 1.288250-2 2.476292+4 1.303167-2 2.403249+4 1.318257-2 2.332367+4 1.333521-2 2.263381+4 1.348963-2 2.196524+4 1.364583-2 2.131733+4 1.380384-2 2.068524+4 1.381700-2 2.063370+4 1.381700-2 5.104533+4 1.393000-2 5.014091+4 1.400000-2 4.947558+4 1.412538-2 4.831146+4 1.462177-2 4.405904+4 1.479108-2 4.272683+4 1.496236-2 4.143527+4 1.500000-2 4.115874+4 1.513561-2 4.017380+4 1.531087-2 3.894836+4 1.548817-2 3.775927+4 1.566751-2 3.660614+4 1.584893-2 3.547665+4 1.603245-2 3.438072+4 1.621810-2 3.331828+4 1.629700-2 3.287942+4 1.629700-2 4.592142+4 1.642000-2 4.512893+4 1.659587-2 4.387710+4 1.678804-2 4.256304+4 1.691800-2 4.170530+4 1.691800-2 4.819691+4 1.698244-2 4.773961+4 1.705000-2 4.726681+4 1.717908-2 4.637455+4 1.737801-2 4.504552+4 1.757924-2 4.375582+4 1.778279-2 4.250426+4 1.780000-2 4.240063+4 1.819701-2 4.008450+4 1.820000-2 4.006773+4 1.840772-2 3.893955+4 1.850000-2 3.845220+4 1.883649-2 3.673596+4 1.900000-2 3.594074+4 1.905461-2 3.568053+4 1.910000-2 3.546400+4 1.949845-2 3.362283+4 1.972423-2 3.263896+4 2.000000-2 3.149163+4 2.041738-2 2.985943+4 2.065380-2 2.898764+4 2.089296-2 2.814265+4 2.113489-2 2.732304+4 2.137962-2 2.652341+4 2.162719-2 2.574780+4 2.187762-2 2.499492+4 2.213095-2 2.425908+4 2.238721-2 2.354560+4 2.264644-2 2.285360+4 2.290868-2 2.218252+4 2.317395-2 2.152676+4 2.344229-2 2.089025+4 2.371374-2 2.027303+4 2.400000-2 1.964879+4 2.426610-2 1.909236+4 2.432200-2 1.897829+4 2.483133-2 1.797619+4 2.511886-2 1.744316+4 2.540973-2 1.692619+4 2.570396-2 1.642496+4 2.600160-2 1.593830+4 2.630268-2 1.546636+4 2.650000-2 1.516770+4 2.660725-2 1.500728+4 2.691535-2 1.455610+4 2.754229-2 1.369501+4 2.786121-2 1.328371+4 2.818383-2 1.288504+4 2.851018-2 1.249853+4 2.884032-2 1.212389+4 2.917427-2 1.176068+4 2.951209-2 1.140864+4 3.000000-2 1.092572+4 3.019952-2 1.073650+4 3.054921-2 1.041582+4 3.090295-2 1.010425+4 3.198895-2 9.219514+3 3.311311-2 8.413200+3 3.349654-2 8.160756+3 3.388442-2 7.912503+3 3.427678-2 7.671998+3 3.467369-2 7.438932+3 3.507519-2 7.213116+3 3.589219-2 6.781978+3 3.630781-2 6.576401+3 3.672823-2 6.376995+3 3.715352-2 6.183532+3 3.845918-2 5.638444+3 3.890451-2 5.467375+3 3.900000-2 5.431638+3 3.935501-2 5.300947+3 4.000000-2 5.074511+3 4.027170-2 4.983129+3 4.073803-2 4.831562+3 4.168694-2 4.542204+3 4.216965-2 4.403563+3 4.265795-2 4.269132+3 4.315191-2 4.138786+3 4.365158-2 4.011672+3 4.415704-2 3.888514+3 4.466836-2 3.769199+3 4.570882-2 3.541625+3 4.623810-2 3.433161+3 4.677351-2 3.328090+3 4.786301-2 3.127661+3 4.841724-2 3.032045+3 4.897788-2 2.939062+3 5.011872-2 2.761565+3 5.128614-2 2.594855+3 5.188000-2 2.515099+3 5.248075-2 2.437314+3 5.370318-2 2.288995+3 5.495409-2 2.149886+3 5.500000-2 2.145007+3 5.559043-2 2.083596+3 5.623413-2 2.019381+3 5.688529-2 1.957186+3 5.754399-2 1.896903+3 5.821032-2 1.838466+3 5.888437-2 1.781866+3 6.095369-2 1.622360+3 6.165950-2 1.572081+3 6.309573-2 1.476189+3 6.382635-2 1.430370+3 6.531306-2 1.343038+3 6.606934-2 1.301433+3 6.760830-2 1.222110+3 6.839116-2 1.184318+3 6.918310-2 1.147666+3 7.000000-2 1.111312+3 7.079458-2 1.077426+3 7.328245-2 9.801302+2 7.413102-2 9.497274+2 7.444800-2 9.387003+2 7.585776-2 8.917460+2 7.673615-2 8.641194+2 7.943282-2 7.862178+2 8.000000-2 7.710802+2 8.128305-2 7.380407+2 8.317638-2 6.927532+2 8.413951-2 6.711810+2 8.511380-2 6.502563+2 8.810489-2 5.913489+2 9.015711-2 5.551218+2 9.120108-2 5.378581+2 9.342400-2 5.034884+2 9.342400-2 2.327588+3 9.415000-2 2.282502+3 9.440609-2 2.266890+3 9.530000-2 2.213484+3 9.600000-2 2.169291+3 9.660509-2 2.136851+3 9.772372-2 2.078677+3 9.885531-2 2.015463+3 1.000000-1 1.954178+3 1.035142-1 1.792201+3 1.047129-1 1.741264+3 1.059254-1 1.689679+3 1.071519-1 1.639631+3 1.096478-1 1.543944+3 1.122019-1 1.453853+3 1.148154-1 1.368944+3 1.161449-1 1.328375+3 1.174898-1 1.289348+3 1.202264-1 1.214719+3 1.216186-1 1.179044+3 1.244515-1 1.110806+3 1.258925-1 1.078195+3 1.318257-1 9.570721+2 1.364583-1 8.738412+2 1.380384-1 8.477435+2 1.396368-1 8.223977+2 1.445440-1 7.508295+2 1.462177-1 7.283902+2 1.500000-1 6.809848+2 1.531088-1 6.451578+2 1.566751-1 6.071902+2 1.584893-1 5.890551+2 1.603245-1 5.714708+2 1.650000-1 5.298293+2 1.659587-1 5.218155+2 1.678804-1 5.062478+2 1.717908-1 4.764957+2 1.737801-1 4.622831+2 1.798871-1 4.221488+2 1.819701-1 4.095625+2 1.840772-1 3.973536+2 1.862087-1 3.855095+2 1.883649-1 3.740193+2 1.927525-1 3.520583+2 1.949845-1 3.415676+2 1.972423-1 3.313906+2 2.000000-1 3.195261+2 2.018366-1 3.119482+2 2.065380-1 2.936562+2 2.089296-1 2.849173+2 2.137962-1 2.682136+2 2.162719-1 2.602333+2 2.187762-1 2.524912+2 2.238721-1 2.376939+2 2.290868-1 2.237653+2 2.317395-1 2.171116+2 2.344229-1 2.106588+2 2.371374-1 2.043982+2 2.398833-1 1.983275+2 2.477750-1 1.822101+2 2.483133-1 1.811776+2 2.500000-1 1.779945+2 2.511886-1 1.758242+2 2.540973-1 1.706657+2 2.570396-1 1.656589+2 2.600160-1 1.608001+2 2.630268-1 1.560841+2 2.660725-1 1.515111+2 2.722701-1 1.427677+2 2.754229-1 1.385890+2 2.786121-1 1.345329+2 2.818383-1 1.305981+2 2.851018-1 1.267787+2 2.884032-1 1.230713+2 2.951209-1 1.159797+2 3.019952-1 1.092979+2 3.054921-1 1.061500+2 3.090295-1 1.030929+2 3.126079-1 1.001239+2 3.162278-1 9.724054+1 3.198895-1 9.444079+1 3.235937-1 9.172338+1 3.273407-1 8.908815+1 3.311311-1 8.652872+1 3.349654-1 8.404382+1 3.388442-1 8.163068+1 3.427678-1 7.928699+1 3.467369-1 7.701185+1 3.507519-1 7.480230+1 3.630781-1 6.864213+1 3.672823-1 6.670407+1 3.715352-1 6.482203+1 3.758374-1 6.299313+1 3.801894-1 6.121590+1 3.845918-1 5.948910+1 3.890451-1 5.781489+1 3.935501-1 5.618786+1 4.027170-1 5.307148+1 4.073803-1 5.160769+1 4.120975-1 5.018451+1 4.168694-1 4.880060+1 4.265795-1 4.614863+1 4.315191-1 4.487740+1 4.365158-1 4.364185+1 4.415705-1 4.244038+1 4.472100-1 4.115441+1 4.518559-1 4.013827+1 4.570882-1 3.903587+1 4.623810-1 3.798392+1 4.731513-1 3.596438+1 4.786301-1 3.499628+1 4.841724-1 3.405484+1 4.897788-1 3.313877+1 4.954502-1 3.224739+1 5.011872-1 3.138002+1 5.188000-1 2.891561+1 5.248075-1 2.815527+1 5.308844-1 2.741531+1 5.370318-1 2.669597+1 5.432503-1 2.599553+1 5.495409-1 2.531359+1 5.559043-1 2.464956+1 5.623413-1 2.400297+1 5.688529-1 2.337339+1 5.754399-1 2.276032+1 5.888437-1 2.158205+1 5.956621-1 2.102879+1 6.025596-1 2.049154+1 6.095369-1 1.996835+1 6.165950-1 1.945854+1 6.237348-1 1.896183+1 6.309573-1 1.847782+1 6.382635-1 1.800618+1 6.456542-1 1.754660+1 6.531306-1 1.709875+1 6.606935-1 1.666263+1 6.683439-1 1.624727+1 6.804800-1 1.561883+1 6.839117-1 1.544795+1 6.918310-1 1.506407+1 6.998420-1 1.468975+1 7.079458-1 1.432480+1 7.161434-1 1.396894+1 7.244360-1 1.362193+1 7.328245-1 1.328377+1 7.413102-1 1.295426+1 7.498942-1 1.263301+1 7.585776-1 1.232670+1 7.673615-1 1.202783+1 7.762471-1 1.173698+1 7.852356-1 1.145331+1 8.000000-1 1.100883+1 8.035261-1 1.090645+1 8.128305-1 1.064306+1 8.222427-1 1.038604+1 8.413951-1 9.890857+0 8.511380-1 9.652245+0 8.609938-1 9.425046+0 8.709636-1 9.203895+0 8.810489-1 8.987952+0 8.912509-1 8.777220+0 9.015711-1 8.571440+0 9.120108-1 8.370626+0 9.225714-1 8.174518+0 9.332543-1 7.983104+0 9.440609-1 7.796173+0 9.549926-1 7.613850+0 9.660509-1 7.440825+0 9.772372-1 7.272403+0 9.885531-1 7.107954+0 1.000000+0 6.947233+0 1.011579+0 6.790222+0 1.022000+0 6.653597+0 1.023293+0 6.636934+0 1.047129+0 6.340896+0 1.059254+0 6.197901+0 1.071519+0 6.058137+0 1.096478+0 5.787981+0 1.109175+0 5.657568+0 1.122018+0 5.530221+0 1.135011+0 5.405737+0 1.148154+0 5.286261+0 1.161449+0 5.169428+0 1.174898+0 5.055452+0 1.188502+0 4.944060+0 1.202264+0 4.835189+0 1.216186+0 4.728731+0 1.230269+0 4.624743+0 1.244515+0 4.523043+0 1.258925+0 4.423614+0 1.273503+0 4.326364+0 1.288250+0 4.233943+0 1.303167+0 4.143857+0 1.318257+0 4.055752+0 1.333521+0 3.969529+0 1.348963+0 3.885223+0 1.364583+0 3.802729+0 1.380384+0 3.721997+0 1.396368+0 3.642982+0 1.412538+0 3.565645+0 1.428894+0 3.489956+0 1.445440+0 3.415897+0 1.462177+0 3.345479+0 1.479108+0 3.276756+0 1.496236+0 3.209494+0 1.500000+0 3.195002+0 1.513561+0 3.143633+0 1.531087+0 3.079161+0 1.566751+0 2.954173+0 1.621810+0 2.776142+0 1.640590+0 2.720718+0 1.659587+0 2.666571+0 1.678804+0 2.613538+0 1.698244+0 2.561564+0 1.757924+0 2.411800+0 1.798871+0 2.316977+0 1.819701+0 2.270973+0 1.840772+0 2.225882+0 1.862087+0 2.181687+0 1.883649+0 2.139313+0 1.905461+0 2.097872+0 1.949845+0 2.017431+0 1.972423+0 1.978381+0 2.044000+0 1.862226+0 2.089296+0 1.794321+0 2.113489+0 1.759652+0 2.137962+0 1.725652+0 2.162719+0 1.693419+0 2.187762+0 1.661816+0 2.213095+0 1.630808+0 2.290868+0 1.541238+0 2.344229+0 1.484368+0 2.371374+0 1.456725+0 2.398833+0 1.429597+0 2.454709+0 1.378526+0 2.483133+0 1.353701+0 2.511886+0 1.329326+0 2.600160+0 1.258822+0 2.660725+0 1.213983+0 2.691535+0 1.192165+0 2.722701+0 1.170740+0 2.818383+0 1.110657+0 2.851018+0 1.091337+0 2.884032+0 1.072356+0 3.000000+0 1.009839+0 3.126079+0 9.485163-1 3.162278+0 9.320428-1 3.198895+0 9.158559-1 3.235937+0 8.999505-1 3.311311+0 8.698779-1 3.349654+0 8.552312-1 3.388442+0 8.408331-1 3.467369+0 8.127674-1 3.630781+0 7.594934-1 3.672823+0 7.467299-1 3.715352+0 7.341809-1 3.758374+0 7.218433-1 3.845918+0 6.985059-1 3.890451+0 6.871303-1 3.935501+0 6.759415-1 4.027170+0 6.541135-1 4.216965+0 6.126121-1 4.265795+0 6.026550-1 4.315191+0 5.928597-1 4.365158+0 5.832243-1 4.466836+0 5.649692-1 4.570882+0 5.472985-1 4.623810+0 5.386730-1 4.731513+0 5.218315-1 4.954502+0 4.897588-1 5.011872+0 4.820536-1 5.069907+0 4.744695-1 5.128614+0 4.670052-1 5.308844+0 4.459325-1 5.432503+0 4.324250-1 5.495409+0 4.258265-1 5.623413+0 4.129333-1 5.888437+0 3.883427-1 5.956621+0 3.824275-1 6.025596+0 3.766023-1 6.095369+0 3.708662-1 6.309573+0 3.546805-1 6.456542+0 3.442919-1 6.531306+0 3.392131-1 6.683439+0 3.292816-1 7.000000+0 3.102193-1 7.161434+0 3.012376-1 7.244360+0 2.968016-1 7.328245+0 2.924311-1 7.585776+0 2.800539-1 7.762471+0 2.721002-1 7.852356+0 2.682090-1 7.943282+0 2.643735-1 8.128305+0 2.568679-1 8.511380+0 2.425096-1 8.709636+0 2.356343-1 8.810489+0 2.322702-1 8.912509+0 2.289542-1 9.225714+0 2.195442-1 9.549926+0 2.105269-1 9.660509+0 2.076047-1 9.772372+0 2.047230-1 1.000000+1 1.990805-1 1.035142+1 1.909188-1 1.059254+1 1.856643-1 1.071519+1 1.830917-1 1.083927+1 1.805547-1 1.122018+1 1.733418-1 1.174898+1 1.641757-1 1.202264+1 1.597767-1 1.216186+1 1.576216-1 1.230269+1 1.554956-1 1.273503+1 1.492892-1 1.318257+1 1.433388-1 1.348963+1 1.395043-1 1.364583+1 1.376258-1 1.380384+1 1.358223-1 1.428894+1 1.305556-1 1.462177+1 1.271588-1 1.496236+1 1.238504-1 1.513561+1 1.222288-1 1.640590+1 1.114575-1 1.717908+1 1.057414-1 1.737801+1 1.043587-1 1.757924+1 1.030225-1 1.800000+1 1.003393-1 1.819701+1 9.912807-2 1.840772+1 9.786303-2 1.862087+1 9.661413-2 1.905461+1 9.416391-2 1.927525+1 9.296227-2 2.162719+1 8.175908-2 2.264644+1 7.766989-2 2.290868+1 7.667993-2 2.317395+1 7.572236-2 2.344229+1 7.477912-2 2.371374+1 7.384814-2 2.400000+1 7.289027-2 2.426610+1 7.202103-2 2.454709+1 7.112450-2 2.511886+1 6.936481-2 2.540973+1 6.850136-2 2.884032+1 5.968543-2 2.917427+1 5.894283-2 3.090295+1 5.536850-2 3.126079+1 5.468008-2 3.162278+1 5.400020-2 3.198895+1 5.334093-2 3.235937+1 5.269116-2 3.273407+1 5.204962-2 3.311311+1 5.141595-2 3.388442+1 5.017168-2 3.467369+1 4.895752-2 3.507519+1 4.836153-2 4.027170+1 4.175175-2 4.073803+1 4.124367-2 4.120975+1 4.074184-2 4.415704+1 3.785784-2 4.466836+1 3.739742-2 4.518559+1 3.694261-2 4.570882+1 3.650012-2 4.623810+1 3.606294-2 4.677351+1 3.563181-2 4.731513+1 3.520600-2 4.786301+1 3.478532-2 4.841724+1 3.436966-2 4.954502+1 3.355320-2 5.069907+1 3.275614-2 5.128614+1 3.236475-2 6.025596+1 2.735223-2 6.095369+1 2.702551-2 6.237348+1 2.638380-2 6.918310+1 2.368049-2 6.998420+1 2.339777-2 7.161434+1 2.284241-2 7.244360+1 2.257340-2 7.413102+1 2.204486-2 7.498942+1 2.178570-2 7.673615+1 2.127667-2 7.762471+1 2.102665-2 7.943282+1 2.053540-2 8.128305+1 2.005562-2 8.222427+1 1.981996-2 9.332543+1 1.740368-2 9.440609+1 1.719924-2 9.549926+1 1.699722-2 1.122018+2 1.440660-2 1.135011+2 1.423743-2 1.161449+2 1.390504-2 1.216186+2 1.326335-2 1.244515+2 1.295645-2 1.258925+2 1.280568-2 1.318257+2 1.221991-2 1.333521+2 1.207772-2 1.364583+2 1.179855-2 1.428894+2 1.125955-2 1.445440+2 1.112870-2 1.462177+2 1.099937-2 1.513561+2 1.062034-2 1.584893+2 1.013519-2 1.603245+2 1.001741-2 1.862087+2 8.605273-3 1.905461+2 8.406476-3 2.238721+2 7.137994-3 2.264644+2 7.055083-3 2.317395+2 6.892134-3 2.426610+2 6.577446-3 2.483133+2 6.426476-3 2.511886+2 6.352297-3 2.630268+2 6.064040-3 2.660725+2 5.994044-3 2.722701+2 5.856562-3 2.851018+2 5.591024-3 2.884032+2 5.526542-3 2.917427+2 5.462807-3 3.019952+2 5.275976-3 3.162278+2 5.036769-3 3.198895+2 4.978683-3 3.715352+2 4.281808-3 3.801894+2 4.183630-3 4.466836+2 3.556677-3 4.518559+2 3.515670-3 4.623810+2 3.435069-3 4.841724+2 3.279367-3 4.954502+2 3.204464-3 5.011872+2 3.167657-3 5.248075+2 3.024606-3 5.308844+2 2.989865-3 5.432503+2 2.921603-3 5.688529+2 2.789730-3 5.754399+2 2.757703-3 5.821032+2 2.726044-3 6.025596+2 2.633231-3 6.309573+2 2.514378-3 6.382635+2 2.485512-3 7.413102+2 2.139084-3 7.585776+2 2.090257-3 8.912509+2 1.778319-3 9.015711+2 1.757908-3 1.840772+3 8.593204-4 1.927525+3 8.205420-4 1.972423+3 8.018509-4 1.995262+3 7.926659-4 2.089296+3 7.569651-4 2.113489+3 7.482941-4 2.162719+3 7.312524-4 4.518559+3 3.498853-4 4.570882+3 3.458784-4 4.623810+3 3.419175-4 4.786301+3 3.303047-4 5.011872+3 3.154322-4 5.069907+3 3.118200-4 1.174898+4 1.345082-4 1.202264+4 1.314453-4 5.623413+4 2.808567-5 1.000000+5 1.579020-5 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 7.440000-6 7.440000-6 1.025000-5 7.440000-6 1.025000-5 8.658931-6 1.150000-5 8.780533-6 1.333521-5 8.875823-6 1.570000-5 8.930330-6 2.033000-5 8.969955-6 2.033000-5 1.051094-5 2.400000-5 1.030240-5 2.818383-5 1.011503-5 3.235937-5 9.993056-6 3.690000-5 9.930939-6 3.851000-5 9.926137-6 3.851000-5 2.781891-5 3.920000-5 2.869817-5 4.000000-5 2.990463-5 4.165000-5 3.264443-5 4.216000-5 3.343992-5 4.216000-5 3.493782-5 4.315191-5 3.596703-5 4.430000-5 3.692112-5 4.535000-5 3.756595-5 4.680000-5 3.817652-5 4.920000-5 3.879740-5 5.340000-5 3.957837-5 5.630000-5 3.984316-5 6.095369-5 3.989804-5 9.332543-5 3.958022-5 1.075200-4 3.932850-5 1.075200-4 4.622199-5 1.096700-4 4.697474-5 1.123000-4 4.750191-5 1.175000-4 4.806132-5 1.357300-4 4.946692-5 1.357300-4 5.498527-5 1.373000-4 5.590294-5 1.388000-4 5.643808-5 1.410000-4 5.687536-5 1.462177-4 5.736680-5 1.760000-4 5.956237-5 1.813400-4 5.987045-5 1.813400-4 6.297770-5 1.893000-4 6.406876-5 1.893000-4 6.804122-5 1.906000-4 6.910342-5 1.924000-4 7.001647-5 1.947000-4 7.060918-5 1.955000-4 7.072697-5 1.955000-4 7.309110-5 1.973000-4 7.397348-5 2.000000-4 7.453309-5 2.137962-4 7.525540-5 2.205000-4 7.613703-5 2.270000-4 7.744880-5 2.430000-4 8.159465-5 2.540973-4 8.435387-5 2.635000-4 8.624903-5 2.750000-4 8.791630-5 2.880000-4 8.914127-5 3.054921-4 9.014151-5 3.320000-4 9.092673-5 3.801894-4 9.141950-5 4.695400-4 9.149300-5 4.695400-4 9.373070-5 4.841724-4 9.489771-5 4.955600-4 9.543023-5 4.955600-4 9.643623-5 5.085000-4 9.785652-5 5.308844-4 9.899385-5 5.688529-4 1.003878-4 7.049600-4 1.045506-4 7.049600-4 1.110528-4 8.443000-4 1.155910-4 8.443000-4 1.173026-4 9.716400-4 1.212389-4 9.716400-4 1.241353-4 1.122018-3 1.286965-4 1.330000-3 1.340102-4 1.566751-3 1.390822-4 1.819701-3 1.436245-4 2.113489-3 1.480247-4 2.521000-3 1.530388-4 2.685100-3 1.547801-4 2.685100-3 2.290603-4 2.733000-3 2.270926-4 2.803500-3 2.262638-4 2.803500-3 2.406228-4 2.951209-3 2.400548-4 3.281500-3 2.401354-4 3.281500-3 2.575782-4 3.840200-3 2.600994-4 3.840200-3 2.690504-4 4.127600-3 2.710468-4 4.127600-3 2.794228-4 5.495409-3 2.897272-4 7.161434-3 2.996022-4 9.225714-3 3.091120-4 1.174898-2 3.180364-4 1.381700-2 3.238973-4 1.381700-2 4.039773-4 1.629700-2 4.059106-4 1.629700-2 4.220193-4 1.691800-2 4.224916-4 1.691800-2 4.535494-4 2.317395-2 4.644863-4 3.198895-2 4.755487-4 4.415704-2 4.867130-4 5.888437-2 4.963906-4 8.000000-2 5.062207-4 9.342400-2 5.108841-4 9.342400-2 4.654584-4 2.371374-1 4.685283-4 6.382635-1 4.702708-4 1.000000+5 4.705041-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.440000-6 0.0 1.075200-4 0.0 1.075200-4 1.31193-10 1.082000-4 1.36771-10 1.088000-4 1.41001-10 1.096700-4 1.46194-10 1.104000-4 1.49819-10 1.111000-4 1.52809-10 1.123000-4 1.57073-10 1.137000-4 1.61108-10 1.152000-4 1.64728-10 1.175000-4 1.69509-10 1.303167-4 1.92906-10 1.357300-4 2.03822-10 1.357300-4 8.15517-10 1.361000-4 8.41396-10 1.364583-4 8.64215-10 1.368500-4 8.86260-10 1.373000-4 9.07950-10 1.377000-4 9.24646-10 1.382000-4 9.41947-10 1.388000-4 9.58837-10 1.395000-4 9.73994-10 1.402000-4 9.85183-10 1.410000-4 9.94460-10 1.420000-4 1.002424-9 1.435000-4 1.009693-9 1.462177-4 1.015993-9 1.678804-4 1.041306-9 1.760000-4 1.045451-9 1.813400-4 1.044249-9 1.813400-4 1.092759-9 1.893000-4 1.097689-9 1.893000-4 4.848700-9 1.893600-4 4.907834-9 1.896000-4 5.094448-9 1.898200-4 5.253647-9 1.901200-4 5.454357-9 1.906000-4 5.738579-9 1.910000-4 5.938881-9 1.913000-4 6.077247-9 1.916000-4 6.198404-9 1.920000-4 6.339196-9 1.924000-4 6.459496-9 1.930000-4 6.604707-9 1.935000-4 6.703246-9 1.941000-4 6.793031-9 1.950000-4 6.885018-9 1.955000-4 6.920713-9 1.955000-4 6.348094-9 1.968500-4 6.256141-9 1.985000-4 6.175809-9 2.002000-4 6.126540-9 2.030000-4 6.091970-9 2.050000-4 6.096688-9 2.070000-4 6.126016-9 2.090000-4 6.181592-9 2.105000-4 6.241645-9 2.120000-4 6.319282-9 2.137962-4 6.434009-9 2.156300-4 6.579415-9 2.175000-4 6.754163-9 2.190000-4 6.914678-9 2.213095-4 7.197219-9 2.240000-4 7.560895-9 2.270000-4 8.016429-9 2.290868-4 8.346815-9 2.350000-4 9.349235-9 2.440000-4 1.091581-8 2.500000-4 1.187357-8 2.540973-4 1.245911-8 2.580000-4 1.295623-8 2.620000-4 1.338966-8 2.670000-4 1.384197-8 2.710000-4 1.413233-8 2.754229-4 1.439356-8 2.800000-4 1.461140-8 2.880000-4 1.490967-8 2.985383-4 1.517173-8 3.100000-4 1.534707-8 3.260000-4 1.546961-8 3.550000-4 1.553127-8 3.970000-4 1.552444-8 4.695400-4 1.540926-8 4.695400-4 1.579431-8 4.841724-4 1.597839-8 4.955600-4 1.605815-8 4.955600-4 1.718676-8 5.020000-4 1.782596-8 5.069907-4 1.823404-8 5.085000-4 1.837701-8 5.143000-4 1.867426-8 5.370318-4 1.929666-8 5.500000-4 1.961552-8 7.049600-4 2.223979-8 7.049600-4 2.945586-8 8.128305-4 3.193582-8 8.443000-4 3.263806-8 8.443000-4 3.475736-8 9.716400-4 3.783460-8 9.716400-4 4.127256-8 1.096478-3 4.454237-8 1.230269-3 4.769112-8 1.400000-3 5.133297-8 1.584893-3 5.487125-8 1.770000-3 5.809644-8 2.000000-3 6.165426-8 2.264644-3 6.532596-8 2.570396-3 6.905353-8 2.685100-3 7.035506-8 2.685100-3 8.261401-8 2.760000-3 8.247095-8 2.803500-3 8.257056-8 2.803500-3 2.854958-5 2.824000-3 2.850682-5 2.920000-3 2.735915-5 3.054921-3 2.729206-5 3.281500-3 2.726808-5 3.281500-3 2.708394-5 3.427678-3 2.703449-5 3.840200-3 2.682287-5 3.840200-3 2.971662-5 4.127600-3 2.988687-5 4.127600-3 3.030961-5 5.011872-3 3.079387-5 6.237348-3 3.131305-5 8.511380-3 3.203459-5 1.135011-2 3.266639-5 1.381700-2 3.308599-5 1.381700-2 2.580339-3 1.400000-2 2.585842-3 1.629700-2 2.567951-3 1.629700-2 3.715097-3 1.642000-2 3.723284-3 1.691800-2 3.727622-3 1.691800-2 3.882014-3 2.162719-2 3.924176-3 2.884032-2 3.952327-3 4.315191-2 3.971696-3 8.128305-2 3.973173-3 9.342400-2 3.970797-3 9.342400-2 6.594020-2 1.096478-1 6.643794-2 1.445440-1 6.705119-2 2.162719-1 6.761100-2 4.315191-1 6.816620-2 9.225714-1 6.872827-2 2.691535+0 6.876979-2 1.000000+5 6.877364-2 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 7.440000-6 0.0 1.025000-5 2.810000-6 1.025000-5 1.591069-6 1.050000-5 1.810898-6 1.096478-5 2.229431-6 1.150000-5 2.719467-6 1.230269-5 3.471955-6 1.333521-5 4.459387-6 1.548817-5 6.560429-6 2.033000-5 1.136005-5 2.033000-5 9.819055-6 2.630268-5 1.611289-5 3.235937-5 2.236631-5 3.851000-5 2.858386-5 3.851000-5 1.069109-5 3.890451-5 1.060327-5 3.920000-5 1.050183-5 3.950000-5 1.036778-5 4.000000-5 1.009537-5 4.165000-5 9.005575-6 4.216000-5 8.720081-6 4.216000-5 7.222176-6 4.260000-5 7.185105-6 4.315191-5 7.184885-6 4.365158-5 7.234109-6 4.400000-5 7.301579-6 4.430000-5 7.378875-6 4.466836-5 7.498239-6 4.518559-5 7.706836-6 4.580000-5 8.014975-6 4.630000-5 8.304629-6 4.700000-5 8.758833-6 4.800000-5 9.477658-6 4.970000-5 1.079820-5 5.230000-5 1.289663-5 5.410000-5 1.443118-5 5.595000-5 1.612496-5 5.870000-5 1.880065-5 8.912509-5 4.948306-5 1.075200-4 6.819150-5 1.075200-4 6.129787-5 1.096700-4 6.269511-5 1.123000-4 6.479794-5 1.175000-4 6.943851-5 1.357300-4 8.626288-5 1.357300-4 8.074391-5 1.377000-4 8.162498-5 1.402000-4 8.345241-5 1.462177-4 8.884989-5 1.813400-4 1.214685-4 1.813400-4 1.183612-4 1.893000-4 1.252301-4 1.893000-4 1.212539-4 1.913000-4 1.217716-4 1.941000-4 1.235956-4 1.955000-4 1.247661-4 1.955000-4 1.224025-4 1.975500-4 1.234899-4 2.010000-4 1.263650-4 2.137962-4 1.385344-4 2.238721-4 1.470983-4 2.426610-4 1.611458-4 2.600160-4 1.743943-4 2.770000-4 1.888422-4 3.000000-4 2.100999-4 3.470000-4 2.558300-4 4.695400-4 3.780316-4 4.695400-4 3.757935-4 4.955600-4 4.001137-4 4.955600-4 3.991066-4 5.248075-4 4.260579-4 7.049600-4 6.003872-4 7.049600-4 5.938777-4 8.443000-4 7.286764-4 8.443000-4 7.269626-4 9.716400-4 8.503633-4 9.716400-4 8.474634-4 1.621810-3 1.481601-3 2.685100-3 2.530250-3 2.685100-3 2.455957-3 2.803500-3 2.577154-3 2.803500-3 2.534328-3 3.281500-3 3.014097-3 3.281500-3 2.996838-3 3.840200-3 3.553278-3 3.840200-3 3.541433-3 4.127600-3 3.826666-3 4.127600-3 3.817868-3 1.381700-2 1.346002-2 1.381700-2 1.083268-2 1.629700-2 1.332314-2 1.629700-2 1.215988-2 1.691800-2 1.276789-2 1.691800-2 1.258244-2 2.951209-2 2.508513-2 9.342400-2 8.894232-2 9.342400-2 2.701835-2 9.660509-2 3.008783-2 9.885531-2 3.225514-2 1.096478-1 4.274381-2 1.445440-1 7.702580-2 2.483133-1 1.801164-1 2.371374+0 2.302134+0 1.000000+5 9.999993+4 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 9.342400-2 1.824100+3 9.530000-2 1.736752+3 9.600000-2 1.702068+3 9.772372-2 1.633782+3 1.000000-1 1.536608+3 1.047129-1 1.373345+3 1.161449-1 1.051578+3 1.318257-1 7.615808+2 2.500000-1 1.435370+2 3.019952-1 8.835202+1 3.507519-1 6.057287+1 4.027170-1 4.304465+1 4.570882-1 3.171212+1 5.188000-1 2.352733+1 5.888437-1 1.758631+1 6.606935-1 1.359615+1 7.498942-1 1.032339+1 8.511380-1 7.898404+0 9.549926-1 6.237526+0 1.135011+0 4.431998+0 1.273503+0 3.546811+0 1.445440+0 2.799666+0 1.621810+0 2.275044+0 1.862087+0 1.787958+0 2.137962+0 1.414271+0 2.398833+0 1.171624+0 2.722701+0 9.594861-1 3.235937+0 7.375723-1 3.758374+0 5.916006-1 4.365158+0 4.779907-1 5.128614+0 3.827396-1 6.095369+0 3.039479-1 7.328245+0 2.396661-1 8.912509+0 1.876430-1 1.083927+1 1.479763-1 1.364583+1 1.127947-1 1.737801+1 8.552915-2 2.290868+1 6.284453-2 3.162278+1 4.425675-2 4.518559+1 3.027674-2 7.161434+1 1.872059-2 1.216186+2 1.086971-2 2.426610+2 5.390592-3 4.841724+2 2.687777-3 1.927525+3 6.724964-4 1.000000+5 1.294200-5 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 9.342400-2 4.529200-4 1.000000+5 4.529200-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 9.342400-2 8.304500-2 1.000000+5 8.304500-2 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 9.342400-2 9.926080-3 1.000000+5 9.999992+4 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.691800-2 6.491617+3 1.780000-2 5.965440+3 1.820000-2 5.726140+3 1.910000-2 5.290040+3 2.065380-2 4.589756+3 2.290868-2 3.819352+3 2.660725-2 2.878246+3 3.349654-2 1.823180+3 3.845918-2 1.369155+3 4.315191-2 1.074483+3 5.188000-2 7.196940+2 6.095369-2 5.016318+2 6.918310-2 3.754286+2 8.000000-2 2.676480+2 9.440609-2 1.806295+2 1.122019-1 1.189931+2 1.380384-1 7.154060+1 2.630268-1 1.435411+1 3.235937-1 8.615811+0 3.845918-1 5.669366+0 4.472100-1 3.960559+0 5.188000-1 2.806007+0 5.956621-1 2.051568+0 6.804800-1 1.528486+0 7.673615-1 1.179295+0 8.609938-1 9.259651-1 9.660509-1 7.322588-1 1.161449+0 5.089769-1 1.288250+0 4.168766-1 1.462177+0 3.293203-1 1.640590+0 2.677988-1 1.883649+0 2.105709-1 2.137962+0 1.698946-1 2.398833+0 1.407441-1 2.722701+0 1.152512-1 3.235937+0 8.858820-2 3.758374+0 7.105609-2 4.365158+0 5.741070-2 5.128614+0 4.597033-2 6.095369+0 3.650685-2 7.328245+0 2.878542-2 8.912509+0 2.253735-2 1.083927+1 1.777342-2 1.364583+1 1.354742-2 1.757924+1 1.014041-2 2.317395+1 7.453075-3 3.198895+1 5.250259-3 4.623810+1 3.549348-3 7.413102+1 2.169502-3 1.333521+2 1.188464-3 2.660725+2 5.899351-4 5.308844+2 2.942739-4 2.113489+3 7.365267-5 1.000000+5 1.554400-6 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.691800-2 6.530800-4 1.000000+5 6.530800-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.691800-2 4.873900-3 1.000000+5 4.873900-3 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.691800-2 1.139102-2 1.000000+5 9.999999+4 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.629700-2 1.304200+4 1.642000-2 1.291786+4 1.705000-2 1.179400+4 1.850000-2 9.615200+3 2.187762-2 6.248300+3 2.432200-2 4.722900+3 3.090295-2 2.471400+3 3.900000-2 1.292900+3 4.841724-2 6.992100+2 6.095369-2 3.596000+2 7.673615-2 1.834400+2 1.584893-1 2.162400+1 1.972423-1 1.142550+1 2.371374-1 6.721047+0 2.786121-1 4.255649+0 3.198895-1 2.895948+0 3.672823-1 1.985079+0 4.168694-1 1.414210+0 4.731513-1 1.015048+0 5.308844-1 7.561745-1 5.956621-1 5.674956-1 6.606935-1 4.413960-1 7.328245-1 3.458925-1 8.222427-1 2.658157-1 9.440609-1 1.955291-1 1.011579+0 1.688308-1 1.109175+0 1.400545-1 1.216186+0 1.169871-1 1.333521+0 9.841247-2 1.513561+0 7.826561-2 1.757924+0 6.007223-2 2.044000+0 4.637059-2 2.290868+0 3.838337-2 2.600160+0 3.135335-2 3.000000+0 2.515300-2 3.467369+0 2.024289-2 4.027170+0 1.629189-2 4.731513+0 1.299801-2 5.623413+0 1.028450-2 6.683439+0 8.201092-3 8.128305+0 6.397819-3 1.000000+1 4.958300-3 1.273503+1 3.718343-3 1.640590+1 2.776504-3 2.162719+1 2.036956-3 2.917427+1 1.468301-3 4.120975+1 1.014947-3 6.237348+1 6.571955-4 9.549926+1 4.233472-4 1.905461+2 2.094071-4 3.801894+2 1.042371-4 7.585776+2 5.206334-5 1.202264+4 3.275659-6 1.000000+5 3.936200-7 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.629700-2 4.626300-4 1.000000+5 4.626300-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.629700-2 6.607100-3 1.000000+5 6.607100-3 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.629700-2 9.227270-3 1.000000+5 9.999999+4 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.381700-2 3.041163+4 1.393000-2 2.994234+4 1.500000-2 2.452120+4 1.566751-2 2.176027+4 1.905461-2 1.259477+4 2.113489-2 9.353831+3 2.650000-2 4.837040+3 3.349654-2 2.399071+3 4.168694-2 1.229553+3 5.128614-2 6.460238+2 6.309573-2 3.364793+2 8.000000-2 1.580984+2 1.244515-1 3.826857+1 1.650000-1 1.550896+1 2.018366-1 8.188669+0 2.317395-1 5.316636+0 2.660725-1 3.473281+0 3.019952-1 2.366364+0 3.427678-1 1.623856+0 3.845918-1 1.161285+0 4.315191-1 8.367261-1 4.786301-1 6.272099-1 5.308844-1 4.734773-1 5.888437-1 3.600452-1 6.531306-1 2.758201-1 7.244360-1 2.128942-1 8.035261-1 1.656196-1 9.015711-1 1.263955-1 9.660509-1 1.080022-1 1.023293+0 9.536346-2 1.096478+0 8.269330-2 1.188502+0 7.054024-2 1.288250+0 6.058028-2 1.428894+0 5.019620-2 1.757924+0 3.479006-2 2.044000+0 2.684391-2 2.290868+0 2.221672-2 2.600160+0 1.814482-2 3.000000+0 1.455400-2 3.467369+0 1.171333-2 4.027170+0 9.427294-3 4.731513+0 7.520932-3 5.623413+0 5.950937-3 6.683439+0 4.745426-3 8.128305+0 3.701986-3 1.000000+1 2.869100-3 1.273503+1 2.151546-3 1.640590+1 1.606629-3 2.162719+1 1.178685-3 2.884032+1 8.602589-4 4.027170+1 6.017853-4 6.025596+1 3.942076-4 9.332543+1 2.508104-4 1.862087+2 1.240338-4 3.715352+2 6.172941-5 7.413102+2 3.082986-5 1.174898+4 1.939602-6 1.000000+5 2.277700-7 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.381700-2 4.583100-4 1.000000+5 4.583100-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.381700-2 4.308600-3 1.000000+5 4.308600-3 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.381700-2 9.050090-3 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 4.127600-3 1.775411+4 4.518559-3 1.587112+4 4.841724-3 1.442051+4 5.150000-3 1.329210+4 5.432503-3 1.231096+4 6.237348-3 9.982507+3 6.839116-3 8.694947+3 7.328245-3 7.782051+3 9.015711-3 5.517662+3 1.011579-2 4.513608+3 1.161449-2 3.531069+3 1.380384-2 2.567510+3 1.548817-2 2.064614+3 1.819701-2 1.510776+3 2.162719-2 1.071061+3 2.570396-2 7.524903+2 3.054921-2 5.240966+2 3.630781-2 3.619228+2 4.265795-2 2.542480+2 5.011872-2 1.773584+2 5.888437-2 1.228218+2 7.000000-2 8.220968+1 8.413951-2 5.323304+1 9.772372-2 3.716495+1 1.216186-1 2.177988+1 1.659587-1 1.009498+1 2.722701-1 2.948482+0 3.311311-1 1.824064+0 3.935501-1 1.202470+0 4.570882-1 8.442491-1 5.248075-1 6.131876-1 6.025596-1 4.486097-1 6.839117-1 3.393685-1 7.762471-1 2.585100-1 8.810489-1 1.981907-1 9.772372-1 1.605036-1 1.174898+0 1.116265-1 1.303167+0 9.148890-2 1.479108+0 7.232548-2 1.659587+0 5.885637-2 1.905461+0 4.630633-2 2.162719+0 3.738526-2 2.454709+0 3.042670-2 2.818383+0 2.450776-2 3.311311+0 1.919785-2 3.845918+0 1.541610-2 4.466836+0 1.246869-2 5.308844+0 9.839710-3 6.309573+0 7.826601-3 7.585776+0 6.180135-3 9.225714+0 4.844809-3 1.122018+1 3.825646-3 1.380384+1 2.998389-3 1.757924+1 2.274346-3 2.344229+1 1.650601-3 3.235937+1 1.163152-3 4.677351+1 7.864957-4 7.498942+1 4.808379-4 1.364583+2 2.603775-4 2.722701+2 1.292740-4 5.432503+2 6.449037-5 2.162719+3 1.614263-5 1.000000+5 3.486400-7 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 4.127600-3 4.753500-4 1.000000+5 4.753500-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.127600-3 4.019800-5 1.000000+5 4.019800-5 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.127600-3 3.612052-3 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 3.840200-3 2.855546+4 3.910000-3 2.821855+4 3.990000-3 2.766479+4 4.300000-3 2.533500+4 4.650000-3 2.298320+4 4.841724-3 2.175644+4 5.432503-3 1.838084+4 5.900000-3 1.621460+4 6.500000-3 1.388916+4 6.918310-3 1.247135+4 8.035261-3 9.561020+3 8.609938-3 8.401790+3 1.000000-2 6.275820+3 1.083927-2 5.332888+3 1.244515-2 3.993289+3 1.364583-2 3.274301+3 1.584893-2 2.346941+3 1.778279-2 1.801445+3 2.000000-2 1.367018+3 2.317395-2 9.580965+2 2.660725-2 6.805648+2 3.054921-2 4.797279+2 3.507519-2 3.357479+2 4.073803-2 2.263979+2 4.786301-2 1.469196+2 5.688529-2 9.169093+1 6.839116-2 5.499779+1 8.511380-2 2.971573+1 1.096478-1 1.444906+1 1.819701-1 3.391336+0 2.290868-1 1.766273+0 2.722701-1 1.090093+0 3.162278-1 7.222654-1 3.630781-1 4.972570-1 4.168694-1 3.448466-1 4.731513-1 2.483441-1 5.308844-1 1.855183-1 5.956621-1 1.395583-1 6.683439-1 1.057546-1 7.413102-1 8.295269-2 8.413951-1 6.217806-2 9.225714-1 5.077011-2 1.000000+0 4.281562-2 1.096478+0 3.552403-2 1.216186+0 2.902268-2 1.348963+0 2.388794-2 1.531087+0 1.897965-2 1.757924+0 1.486730-2 2.044000+0 1.148000-2 2.290868+0 9.504089-3 2.600160+0 7.762504-3 3.000000+0 6.225600-3 3.467369+0 5.010457-3 4.027170+0 4.032554-3 4.731513+0 3.217032-3 5.623413+0 2.545474-3 6.683439+0 2.029832-3 8.128305+0 1.583486-3 1.000000+1 1.227200-3 1.273503+1 9.203338-4 1.640590+1 6.872223-4 2.162719+1 5.041649-4 2.917427+1 3.634196-4 4.073803+1 2.542944-4 6.095369+1 1.666106-4 9.440609+1 1.060263-4 1.862087+2 5.305479-5 3.715352+2 2.640482-5 7.413102+2 1.318763-5 1.174898+4 8.296637-7 1.000000+5 9.742600-8 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 3.840200-3 4.150300-4 1.000000+5 4.150300-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.840200-3 7.691000-5 1.000000+5 7.691000-5 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.840200-3 3.348260-3 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 3.281500-3 9.465730+4 3.349654-3 9.249826+4 3.630781-3 8.148253+4 4.027170-3 6.871811+4 4.365158-3 5.959094+4 5.011872-3 4.634069+4 5.495409-3 3.899793+4 5.754399-3 3.564220+4 6.918310-3 2.457814+4 7.500000-3 2.072744+4 8.810489-3 1.461051+4 9.660509-3 1.187442+4 1.109175-2 8.636489+3 1.258925-2 6.387892+3 1.400000-2 4.933960+3 1.621810-2 3.417157+3 1.840772-2 2.469743+3 2.065380-2 1.827576+3 2.371374-2 1.263482+3 2.754229-2 8.394017+2 3.198895-2 5.527592+2 3.672823-2 3.730691+2 4.216965-2 2.501419+2 4.897788-2 1.610850+2 5.754399-2 9.954182+1 6.839116-2 5.897453+1 8.413951-2 3.119841+1 1.096478-1 1.369362+1 1.737801-1 3.245069+0 2.187762-1 1.590976+0 2.570396-1 9.726422-1 2.951209-1 6.422802-1 3.349654-1 4.421077-1 3.801894-1 3.065830-1 4.265795-1 2.213755-1 4.786301-1 1.610522-1 5.308844-1 1.218038-1 5.888437-1 9.276568-2 6.531306-1 7.117684-2 7.244360-1 5.501702-2 8.609938-1 3.626603-2 9.225714-1 3.088946-2 9.772372-1 2.718001-2 1.047129+0 2.349800-2 1.135011+0 1.996730-2 1.244515+0 1.670642-2 1.364583+0 1.409127-2 1.678804+0 9.740447-3 1.949845+0 7.513108-3 2.187762+0 6.189313-3 2.483133+0 5.040896-3 2.851018+0 4.063063-3 3.349654+0 3.184438-3 3.890451+0 2.558540-3 4.570882+0 2.037716-3 5.432503+0 1.609803-3 6.456542+0 1.281724-3 7.762471+0 1.013049-3 9.549926+0 7.837342-4 1.174898+1 6.112414-4 1.428894+1 4.861870-4 1.800000+1 3.737100-4 2.371374+1 2.750295-4 3.273407+1 1.938673-4 4.731513+1 1.311229-4 7.673615+1 7.923190-5 1.428894+2 4.192654-5 2.851018+2 2.082410-5 5.688529+2 1.039006-5 4.518559+3 1.302987-6 1.000000+5 5.883200-8 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 3.281500-3 3.662200-4 1.000000+5 3.662200-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.281500-3 2.593700-5 1.000000+5 2.593700-5 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.281500-3 2.889343-3 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.803500-3 2.835688+5 2.824000-3 2.775082+5 2.920000-3 2.408486+5 2.951209-3 2.341702+5 3.220000-3 1.881816+5 3.311311-3 1.749243+5 3.349654-3 1.700273+5 3.845918-3 1.172164+5 4.300000-3 8.619560+4 4.841724-3 6.157331+4 5.370318-3 4.554370+4 5.900000-3 3.445972+4 7.161434-3 1.908740+4 7.943282-3 1.379694+4 9.120108-3 8.899352+3 1.071519-2 5.268848+3 1.190000-2 3.723356+3 1.364583-2 2.351122+3 1.603245-2 1.354252+3 1.883649-2 7.722745+2 2.187762-2 4.546068+2 2.570396-2 2.548339+2 3.054921-2 1.358841+2 3.630781-2 7.187645+1 4.415704-2 3.463535+1 5.500000-2 1.514396+1 1.122019-1 1.009576+0 1.396368-1 4.428705-1 1.678804-1 2.228057-1 1.949845-1 1.283531-1 2.238721-1 7.774435-2 2.540973-1 4.936853-2 2.851018-1 3.289697-2 3.126079-1 2.391512-2 3.507519-1 1.617741-2 3.935501-1 1.102712-2 4.415705-1 7.569874-3 4.897788-1 5.435371-3 5.370318-1 4.076198-3 5.888437-1 3.076882-3 6.456542-1 2.337211-3 7.079458-1 1.788007-3 7.673615-1 1.423684-3 8.222427-1 1.174192-3 8.709636-1 1.002007-3 9.225714-1 8.611490-4 9.660509-1 7.677714-4 1.011579+0 6.892331-4 1.071519+0 6.075275-4 1.135011+0 5.395598-4 1.202264+0 4.822562-4 1.288250+0 4.243128-4 1.412538+0 3.606709-4 1.531087+0 3.137946-4 1.862087+0 2.225032-4 2.113489+0 1.792731-4 2.371374+0 1.484005-4 2.691535+0 1.214467-4 3.162278+0 9.492989-5 3.672823+0 7.605565-5 4.265795+0 6.138365-5 5.011872+0 4.910189-5 5.956621+0 3.895159-5 7.161434+0 3.068334-5 8.709636+0 2.400199-5 1.059254+1 1.891225-5 1.348963+1 1.421190-5 1.737801+1 1.063385-5 2.290868+1 7.813563-6 3.162278+1 5.502487-6 4.570882+1 3.718903-6 7.244360+1 2.299933-6 1.258925+2 1.304666-6 2.511886+2 6.472261-7 5.011872+2 3.227790-7 1.995262+3 8.076778-8 1.000000+5 1.609100-9 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.803500-3 2.714000-4 1.000000+5 2.714000-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.803500-3 8.956600-5 1.000000+5 8.956600-5 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.803500-3 2.442534-3 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.685100-3 4.685874+5 2.725000-3 4.225070+5 2.733000-3 4.151581+5 2.748000-3 4.041792+5 2.760000-3 3.968208+5 2.810000-3 3.733140+5 2.830000-3 3.663150+5 2.860000-3 3.571728+5 2.920000-3 3.382098+5 3.019952-3 3.104951+5 3.311311-3 2.430700+5 3.672823-3 1.832026+5 4.027170-3 1.416578+5 4.466836-3 1.053872+5 4.954502-3 7.779894+4 5.623413-3 5.325231+4 6.382635-3 3.602957+4 7.079458-3 2.608789+4 8.035261-3 1.739626+4 8.912509-3 1.243665+4 1.040000-2 7.462620+3 1.174898-2 4.944636+3 1.318257-2 3.334012+3 1.531087-2 1.979374+3 1.778279-2 1.164166+3 2.065380-2 6.787014+2 2.400000-2 3.917604+2 2.818383-2 2.157514+2 3.349654-2 1.126279+2 4.000000-2 5.726025+1 4.897788-2 2.623611+1 6.165950-2 1.069767+1 1.071519-1 1.229171+0 1.318257-1 5.494538-1 1.566751-1 2.829064-1 1.798871-1 1.674067-1 2.065380-1 9.980644-2 2.317395-1 6.529898-2 2.570396-1 4.487037-2 2.851018-1 3.105955-2 3.126079-1 2.254969-2 3.427678-1 1.648364-2 3.758374-1 1.213054-2 4.168694-1 8.657776-3 4.570882-1 6.460288-3 5.011872-1 4.856729-3 5.495409-1 3.681391-3 6.025596-1 2.812120-3 6.606935-1 2.162797-3 7.161434-1 1.730420-3 7.762471-1 1.393909-3 8.511380-1 1.094971-3 9.015711-1 9.470955-4 9.549926-1 8.247949-4 1.000000+0 7.426840-4 1.059254+0 6.561261-4 1.135011+0 5.697648-4 1.216186+0 4.982598-4 1.318257+0 4.291849-4 1.462177+0 3.570987-4 1.819701+0 2.430311-4 2.089296+0 1.918919-4 2.344229+0 1.587549-4 2.660725+0 1.298389-4 3.126079+0 1.014307-4 3.630781+0 8.121616-5 4.216965+0 6.551171-5 4.954502+0 5.237629-5 5.888437+0 4.152838-5 7.000000+0 3.317200-5 8.511380+0 2.593292-5 1.035142+1 2.041578-5 1.318257+1 1.532863-5 1.717908+1 1.131258-5 2.264644+1 8.309657-6 3.090295+1 5.923079-6 4.415704+1 4.049954-6 6.918310+1 2.533082-6 1.122018+2 1.540887-6 2.238721+2 7.635200-7 4.466836+2 3.805038-7 8.912509+2 1.901136-7 1.000000+5 1.689600-9 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.685100-3 2.695300-4 1.000000+5 2.695300-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.685100-3 8.929300-8 1.000000+5 8.929300-8 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.685100-3 2.415481-3 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 9.716400-4 3.959727+4 1.050000-3 3.801160+4 1.071519-3 3.748043+4 1.158600-3 3.490995+4 1.380384-3 2.920266+4 1.428894-3 2.811173+4 1.730000-3 2.241700+4 1.864800-3 2.036258+4 2.238721-3 1.592621+4 2.454709-3 1.398023+4 2.917427-3 1.084232+4 3.311311-3 8.924420+3 3.801894-3 7.175780+3 4.518559-3 5.408810+3 5.370318-3 4.038677+3 6.309573-3 3.050282+3 7.500000-3 2.239520+3 8.912509-3 1.632207+3 1.071519-2 1.154812+3 1.288250-2 8.104392+2 1.531087-2 5.774001+2 1.840772-2 3.991094+2 2.187762-2 2.802558+2 2.600160-2 1.953572+2 3.054921-2 1.385828+2 3.672823-2 9.287636+1 4.365158-2 6.334822+1 5.188000-2 4.289015+1 6.165950-2 2.883083+1 7.413102-2 1.872669+1 9.015711-2 1.174478+1 1.071519-1 7.726045+0 1.380384-1 4.144373+0 2.851018-1 6.849149-1 3.467369-1 4.245551-1 4.073803-1 2.883221-1 4.731513-1 2.027917-1 5.432503-1 1.475512-1 6.165950-1 1.109705-1 6.998420-1 8.404930-2 8.000000-1 6.314597-2 9.015711-1 4.919913-2 1.000000+0 3.989998-2 1.202264+0 2.778027-2 1.333521+0 2.280205-2 1.500000+0 1.834999-2 1.698244+0 1.471110-2 1.972423+0 1.136208-2 2.213095+0 9.367416-3 2.511886+0 7.634721-3 2.884032+0 6.157309-3 3.388442+0 4.828343-3 3.935501+0 3.881585-3 4.623810+0 3.093194-3 5.495409+0 2.444904-3 6.531306+0 1.947669-3 7.943282+0 1.517971-3 9.772372+0 1.175365-3 1.230269+1 8.927977-4 1.513561+1 7.018628-4 1.927525+1 5.337717-4 2.540973+1 3.933234-4 3.507519+1 2.777023-4 5.128614+1 1.858369-4 8.222427+1 1.138007-4 1.603245+2 5.752098-5 3.198895+2 2.859686-5 6.382635+2 1.427435-5 5.069907+3 1.790932-6 1.000000+5 9.074200-8 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 9.716400-4 2.738100-4 1.000000+5 2.738100-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 9.716400-4 2.189300-7 1.000000+5 2.189300-7 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 9.716400-4 6.976111-4 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 8.443000-4 3.490197+4 9.772372-4 3.453748+4 1.048300-3 3.393284+4 1.122018-3 3.324262+4 1.190000-3 3.240200+4 1.294000-3 3.099314+4 1.380384-3 2.978556+4 1.513561-3 2.792171+4 1.610000-3 2.657020+4 1.737801-3 2.478787+4 1.927525-3 2.239265+4 2.070000-3 2.076140+4 2.264644-3 1.871401+4 2.511886-3 1.648748+4 2.754229-3 1.462280+4 3.090295-3 1.247124+4 3.400000-3 1.085928+4 3.845918-3 8.995286+3 4.265795-3 7.624743+3 4.841724-3 6.175545+3 5.432503-3 5.057048+3 6.095369-3 4.112136+3 6.918310-3 3.248581+3 7.800000-3 2.578880+3 8.810489-3 2.025171+3 1.000000-2 1.563440+3 1.148154-2 1.168906+3 1.318257-2 8.664098+2 1.513561-2 6.368020+2 1.717908-2 4.766928+2 1.949845-2 3.544585+2 2.238721-2 2.546158+2 2.570396-2 1.815133+2 2.951209-2 1.284573+2 3.427678-2 8.763401+1 4.000000-2 5.859480+1 4.677351-2 3.867739+1 5.559043-2 2.425618+1 6.606934-2 1.509568+1 8.128305-2 8.473957+0 1.035142-1 4.282672+0 1.927525-1 7.303887-1 2.137962-1 5.463080-1 2.884032-1 2.374299-1 3.349654-1 1.580332-1 3.845918-1 1.092916-1 4.415705-1 7.612780-2 5.011872-1 5.505432-2 5.623413-1 4.129691-2 6.309573-1 3.119780-2 7.079458-1 2.374651-2 7.852356-1 1.870220-2 8.709636-1 1.480818-2 9.440609-1 1.242487-2 1.023293+0 1.049789-2 1.122018+0 8.724083-3 1.244515+0 7.139175-3 1.396368+0 5.762319-3 1.621810+0 4.402918-3 1.883649+0 3.391285-3 2.137962+0 2.736046-3 2.398833+0 2.266612-3 2.722701+0 1.855984-3 3.198895+0 1.451399-3 3.715352+0 1.163490-3 4.315191+0 9.395363-4 5.069907+0 7.519198-4 6.025596+0 5.968098-4 7.244360+0 4.703596-4 8.810489+0 3.680944-4 1.071519+1 2.901616-4 1.348963+1 2.210795-4 1.737801+1 1.654135-4 2.317395+1 1.200126-4 3.198895+1 8.454361-5 4.623810+1 5.715353-5 7.413102+1 3.493419-5 1.318257+2 1.936415-5 2.630268+2 9.610342-6 5.248075+2 4.793735-6 2.089296+3 1.199745-6 1.000000+5 2.503000-8 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 8.443000-4 2.439600-4 1.000000+5 2.439600-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 8.443000-4 1.915800-7 1.000000+5 1.915800-7 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 8.443000-4 6.001484-4 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 7.049600-4 1.960457+5 7.690000-4 1.846585+5 8.128305-4 1.764468+5 8.413951-4 1.718339+5 9.332543-4 1.558328+5 1.030000-3 1.407184+5 1.122018-3 1.281454+5 1.273503-3 1.104575+5 1.380384-3 9.974881+4 1.584893-3 8.289516+4 1.737801-3 7.283197+4 1.972423-3 6.033117+4 2.187762-3 5.143049+4 2.483133-3 4.192016+4 2.786121-3 3.457842+4 3.162278-3 2.774540+4 3.548134-3 2.255557+4 4.027170-3 1.782868+4 4.570882-3 1.397977+4 5.188000-3 1.087828+4 5.821032-3 8.604339+3 6.606934-3 6.600538+3 7.585776-3 4.901344+3 8.709636-3 3.607838+3 1.000000-2 2.633336+3 1.135011-2 1.958583+3 1.288250-2 1.446494+3 1.462177-2 1.061000+3 1.659587-2 7.729161+2 1.900000-2 5.469640+2 2.187762-2 3.782369+2 2.511886-2 2.614499+2 2.884032-2 1.793472+2 3.311311-2 1.221362+2 3.845918-2 7.992879+1 4.466836-2 5.190529+1 5.248075-2 3.234684+1 6.165950-2 2.000601+1 7.413102-2 1.145890+1 9.120108-2 6.071130+0 1.202264-1 2.577930+0 1.840772-1 6.853472-1 2.344229-1 3.233586-1 2.570396-1 2.441462-1 2.786121-1 1.921136-1 3.019952-1 1.521911-1 3.427678-1 1.049887-1 3.890451-1 7.297168-2 4.365158-1 5.280370-2 4.897788-1 3.849863-2 5.432503-1 2.917490-2 6.025596-1 2.226214-2 6.683439-1 1.710777-2 7.413102-1 1.324401-2 8.609938-1 9.245386-3 9.225714-1 7.881813-3 9.772372-1 6.939563-3 1.047129+0 6.002175-3 1.135011+0 5.101584-3 1.244515+0 4.268510-3 1.380384+0 3.525152-3 1.678804+0 2.487355-3 1.949845+0 1.918747-3 2.187762+0 1.580740-3 2.483133+0 1.287457-3 2.851018+0 1.037719-3 3.349654+0 8.133282-4 3.890451+0 6.534795-4 4.570882+0 5.204473-4 5.432503+0 4.111541-4 6.456542+0 3.273666-4 7.762471+0 2.587343-4 9.549926+0 2.001729-4 1.174898+1 1.561145-4 1.428894+1 1.241774-4 1.819701+1 9.428578-5 2.400000+1 6.932600-5 3.311311+1 4.890599-5 4.841724+1 3.268825-5 7.762471+1 1.999745-5 1.445440+2 1.058353-5 2.884032+2 5.257183-6 5.754399+2 2.623085-6 4.570882+3 3.289757-7 1.000000+5 1.502600-8 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 7.049600-4 2.186900-4 1.000000+5 2.186900-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 7.049600-4 1.489100-7 1.000000+5 1.489100-7 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 7.049600-4 4.861211-4 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 4.955600-4 6.659420+4 4.968000-4 7.377467+4 4.997000-4 8.888263+4 5.018000-4 1.012877+5 5.020000-4 1.023531+5 5.055000-4 1.175047+5 5.082100-4 1.316331+5 5.085000-4 1.330750+5 5.135000-4 1.464316+5 5.143000-4 1.479825+5 5.248075-4 1.617823+5 5.350000-4 1.728044+5 5.400000-4 1.765750+5 5.500000-4 1.862377+5 5.559043-4 1.890848+5 5.900000-4 2.022724+5 6.100000-4 2.082456+5 6.515100-4 2.188153+5 6.760830-4 2.233127+5 7.000000-4 2.260796+5 7.328245-4 2.283889+5 7.585776-4 2.290384+5 7.943282-4 2.283210+5 8.317638-4 2.259195+5 8.709636-4 2.220719+5 9.120108-4 2.169785+5 9.660509-4 2.091320+5 1.023293-3 1.997305+5 1.096478-3 1.875642+5 1.161449-3 1.767888+5 1.230269-3 1.654375+5 1.318257-3 1.516270+5 1.412538-3 1.381128+5 1.513561-3 1.248819+5 1.621810-3 1.121426+5 1.770000-3 9.712600+4 1.905461-3 8.543213+4 2.089296-3 7.214496+4 2.264644-3 6.182107+4 2.454709-3 5.260630+4 2.691535-3 4.343940+4 2.951209-3 3.558428+4 3.235937-3 2.894090+4 3.548134-3 2.336912+4 3.900000-3 1.863176+4 4.315191-3 1.450888+4 4.800000-3 1.106164+4 5.370318-3 8.236624+3 5.956621-3 6.225618+3 6.531306-3 4.826218+3 7.300000-3 3.522740+3 8.222426-3 2.494257+3 9.225714-3 1.771674+3 1.035142-2 1.248798+3 1.161449-2 8.738492+2 1.303167-2 6.071616+2 1.479108-2 4.035694+2 1.659587-2 2.765713+2 1.883649-2 1.810865+2 2.162719-2 1.131397+2 2.483133-2 7.012852+1 2.851018-2 4.314796+1 3.311311-2 2.530115+1 3.890451-2 1.412810+1 4.623810-2 7.509135+0 5.623413-2 3.639279+0 7.328245-2 1.353159+0 1.202264-1 2.112239-1 1.500000-1 9.271920-2 1.862087-1 4.186791-2 2.162719-1 2.431794-2 2.477750-1 1.495321-2 2.786121-1 9.898015-3 3.090295-1 6.919479-3 3.467369-1 4.686136-3 3.890451-1 3.196981-3 4.365158-1 2.195755-3 4.841724-1 1.576666-3 5.370318-1 1.140802-3 5.888437-1 8.616285-4 6.456542-1 6.554589-4 7.079458-1 5.023632-4 8.128305-1 3.414602-4 8.609938-1 2.910177-4 9.120108-1 2.496515-4 9.549926-1 2.221789-4 1.000000+0 1.990244-4 1.047129+0 1.795174-4 1.109175+0 1.589519-4 1.174898+0 1.417253-4 1.258925+0 1.244269-4 1.364583+0 1.077135-4 1.531087+0 8.826848-5 1.862087+0 6.258618-5 2.113489+0 5.043195-5 2.371374+0 4.174946-5 2.691535+0 3.416564-5 3.162278+0 2.670447-5 3.672823+0 2.139500-5 4.265795+0 1.726741-5 5.011872+0 1.381224-5 5.956621+0 1.095723-5 7.161434+0 8.631563-6 8.709636+0 6.751865-6 1.059254+1 5.320069-6 1.348963+1 3.997994-6 1.737801+1 2.991388-6 2.290868+1 2.198001-6 3.162278+1 1.547920-6 4.570882+1 1.046178-6 7.244360+1 6.469781-7 1.258925+2 3.670095-7 2.511886+2 1.820682-7 5.011872+2 9.079915-8 1.995262+3 2.271995-8 1.000000+5 4.52640-10 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 4.955600-4 1.685000-4 1.000000+5 1.685000-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 4.955600-4 9.803400-8 1.000000+5 9.803400-8 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 4.955600-4 3.269620-4 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 4.695400-4 1.538931+5 4.725000-4 1.713163+5 4.768000-4 1.985655+5 4.841724-4 2.334091+5 4.910000-4 2.564750+5 4.930000-4 2.617828+5 5.020000-4 2.812473+5 5.040000-4 2.846423+5 5.150000-4 2.992483+5 5.400000-4 3.251722+5 5.500000-4 3.333036+5 5.650000-4 3.426834+5 5.850000-4 3.519240+5 6.237348-4 3.665532+5 6.456542-4 3.724386+5 6.700000-4 3.760578+5 7.000000-4 3.780210+5 7.300000-4 3.775200+5 7.585776-4 3.752230+5 8.000000-4 3.688212+5 8.350000-4 3.615804+5 8.810489-4 3.502638+5 9.225714-4 3.388026+5 9.772372-4 3.224137+5 1.050000-3 3.006306+5 1.110000-3 2.831010+5 1.174898-3 2.644974+5 1.258925-3 2.416008+5 1.364583-3 2.157027+5 1.462177-3 1.943363+5 1.584893-3 1.705690+5 1.717908-3 1.486908+5 1.862087-3 1.286007+5 2.041738-3 1.080691+5 2.220000-3 9.157920+4 2.450000-3 7.471080+4 2.660725-3 6.257939+4 2.951209-3 4.966515+4 3.220000-3 4.059666+4 3.548134-3 3.220492+4 3.900000-3 2.550480+4 4.300000-3 1.991274+4 4.841724-3 1.459661+4 5.370318-3 1.103545+4 5.888437-3 8.555255+3 6.531306-3 6.382346+3 7.328245-3 4.570446+3 8.317638-3 3.135006+3 9.332543-3 2.206478+3 1.050000-2 1.527906+3 1.174898-2 1.068271+3 1.303167-2 7.633798+2 1.462177-2 5.220535+2 1.659587-2 3.409223+2 1.883649-2 2.208885+2 2.137962-2 1.420180+2 2.426610-2 9.064330+1 2.786121-2 5.511660+1 3.198895-2 3.326883+1 3.715352-2 1.911035+1 4.365158-2 1.043854+1 5.188000-2 5.419645+0 6.382635-2 2.448018+0 1.202264-1 2.118621-1 1.462177-1 1.001175-1 1.717908-1 5.439305-2 2.000000-1 3.080502-2 2.317395-1 1.788918-2 2.570396-1 1.231887-2 2.851018-1 8.544650-3 3.126079-1 6.212819-3 3.427678-1 4.546158-3 3.758374-1 3.348296-3 4.168694-1 2.392176-3 4.570882-1 1.787061-3 5.011872-1 1.345182-3 5.495409-1 1.021141-3 6.025596-1 7.811373-4 6.606935-1 6.014888-4 7.161434-1 4.816426-4 7.762471-1 3.882062-4 8.511380-1 3.049930-4 9.015711-1 2.637749-4 9.549926-1 2.296753-4 1.000000+0 2.067804-4 1.059254+0 1.826542-4 1.135011+0 1.586025-4 1.216186+0 1.387002-4 1.318257+0 1.194769-4 1.462177+0 9.941556-5 1.819701+0 6.765718-5 2.089296+0 5.341613-5 2.344229+0 4.418947-5 2.660725+0 3.613912-5 3.126079+0 2.823101-5 3.630781+0 2.260488-5 4.216965+0 1.823382-5 4.954502+0 1.457772-5 5.888437+0 1.155861-5 7.000000+0 9.232600-6 8.511380+0 7.217677-6 1.035142+1 5.682094-6 1.318257+1 4.266356-6 1.717908+1 3.148545-6 2.264644+1 2.312813-6 3.090295+1 1.648553-6 4.415704+1 1.127220-6 6.918310+1 7.050264-7 1.122018+2 4.288623-7 2.238721+2 2.125078-7 4.466836+2 1.059044-7 8.912509+2 5.291380-8 5.623413+4 8.36438-10 1.000000+5 4.70270-10 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 4.695400-4 1.625300-4 1.000000+5 1.625300-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 4.695400-4 2.763300-8 1.000000+5 2.763300-8 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 4.695400-4 3.069824-4 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 1.955000-4 9.824821+4 1.955600-4 9.999000+4 1.958000-4 1.052814+5 1.960200-4 1.097454+5 1.962500-4 1.141344+5 1.965500-4 1.193580+5 1.968500-4 1.239570+5 1.972423-4 1.292557+5 1.975500-4 1.327908+5 1.980000-4 1.370670+5 1.985000-4 1.407906+5 1.990000-4 1.435770+5 1.995262-4 1.456209+5 2.002000-4 1.471716+5 2.010000-4 1.478484+5 2.020000-4 1.474986+5 2.030000-4 1.463232+5 2.050000-4 1.427808+5 2.090000-4 1.354176+5 2.113489-4 1.322915+5 2.135000-4 1.305342+5 2.155000-4 1.299582+5 2.170000-4 1.302300+5 2.187762-4 1.313676+5 2.205000-4 1.333476+5 2.220000-4 1.357878+5 2.238721-4 1.397782+5 2.250000-4 1.426974+5 2.270000-4 1.488186+5 2.290868-4 1.564970+5 2.315000-4 1.669746+5 2.340000-4 1.796766+5 2.371374-4 1.982553+5 2.400000-4 2.178576+5 2.440000-4 2.497674+5 2.500000-4 3.081924+5 2.600160-4 4.352658+5 2.650000-4 5.108814+5 2.691535-4 5.787566+5 2.730000-4 6.444000+5 2.770000-4 7.146240+5 2.815000-4 7.948260+5 2.851018-4 8.594032+5 2.900000-4 9.470760+5 2.951209-4 1.037725+6 3.000000-4 1.122822+6 3.054921-4 1.216144+6 3.100000-4 1.290342+6 3.150000-4 1.369332+6 3.209300-4 1.457404+6 3.260000-4 1.527042+6 3.320000-4 1.602228+6 3.390900-4 1.680477+6 3.450000-4 1.736796+6 3.530000-4 1.801830+6 3.600000-4 1.849026+6 3.700000-4 1.902762+6 3.801894-4 1.943391+6 3.890451-4 1.968140+6 4.000000-4 1.986402+6 4.120975-4 1.991452+6 4.216965-4 1.985983+6 4.365158-4 1.964483+6 4.518559-4 1.930992+6 4.700000-4 1.880580+6 4.897788-4 1.815683+6 5.080000-4 1.749378+6 5.308844-4 1.661322+6 5.559043-4 1.563686+6 5.821032-4 1.463112+6 6.100000-4 1.359402+6 6.456542-4 1.234198+6 6.850000-4 1.107000+6 7.300000-4 9.776640+5 7.762471-4 8.608840+5 8.317638-4 7.399277+5 8.912509-4 6.315699+5 9.549926-4 5.353183+5 1.035142-3 4.377126+5 1.122018-3 3.552856+5 1.216186-3 2.861274+5 1.330000-3 2.233698+5 1.450000-3 1.744926+5 1.584893-3 1.344286+5 1.737801-3 1.018210+5 1.900000-3 7.730340+4 2.113489-3 5.517822+4 2.344229-3 3.940331+4 2.570396-3 2.902253+4 2.851018-3 2.042853+4 3.198895-3 1.371071+4 3.589219-3 9.121380+3 4.027170-3 6.017578+3 4.518559-3 3.937287+3 5.011872-3 2.669375+3 5.600000-3 1.748154+3 6.237348-3 1.151346+3 7.000000-3 7.308660+2 7.852356-3 4.615822+2 8.912509-3 2.760146+2 1.011579-2 1.638145+2 1.148154-2 9.648302+1 1.303167-2 5.640914+1 1.479108-2 3.274760+1 1.698244-2 1.795172+1 1.949845-2 9.768923+0 2.264644-2 5.014380+0 2.691535-2 2.303754+0 3.311311-2 8.979669-1 4.168694-2 3.126238-1 5.754399-2 7.065165-2 8.128305-2 1.429106-2 9.885531-2 5.816689-3 1.161449-1 2.798033-3 1.364583-1 1.356029-3 1.603245-1 6.623729-4 1.840772-1 3.610456-4 2.137962-1 1.887258-4 2.371374-1 1.212406-4 2.600160-1 8.236447-5 2.818383-1 5.910045-5 3.054921-1 4.267488-5 3.349654-1 2.965430-5 3.672823-1 2.075876-5 4.168694-1 1.283092-5 4.623810-1 8.714562-6 5.248075-1 5.483198-6 5.754399-1 3.940415-6 6.237348-1 2.971881-6 6.683439-1 2.348097-6 7.161434-1 1.867444-6 7.673615-1 1.495446-6 8.035261-1 1.296565-6 8.413951-1 1.131190-6 8.810489-1 9.933893-7 9.225714-1 8.784972-7 9.660509-1 7.826945-7 1.000000+0 7.214700-7 1.059254+0 6.354267-7 1.122018+0 5.638295-7 1.188502+0 5.034657-7 1.273503+0 4.424354-7 1.396368+0 3.754368-7 1.531087+0 3.199556-7 1.862087+0 2.268710-7 2.113489+0 1.828057-7 2.371374+0 1.513276-7 2.691535+0 1.238438-7 3.162278+0 9.680375-8 3.672823+0 7.755590-8 4.265795+0 6.259379-8 5.011872+0 5.006976-8 5.956621+0 3.971988-8 7.161434+0 3.128869-8 8.709636+0 2.447511-8 1.059254+1 1.928463-8 1.348963+1 1.449272-8 1.737801+1 1.084338-8 2.290868+1 7.967638-9 3.162278+1 5.611087-9 4.570882+1 3.792319-9 7.244360+1 2.345238-9 1.258925+2 1.330354-9 2.511886+2 6.59991-10 5.011872+2 3.29134-10 1.995262+3 8.23596-11 1.000000+5 1.64080-12 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 1.955000-4 9.533300-5 1.000000+5 9.533300-5 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.955000-4 9.60870-10 1.000000+5 9.60870-10 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 1.955000-4 1.001660-4 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 1.893000-4 1.255472+5 1.893600-4 1.277576+5 1.896000-4 1.347064+5 1.898200-4 1.406704+5 1.901200-4 1.482296+5 1.904000-4 1.547088+5 1.906000-4 1.589808+5 1.909000-4 1.648344+5 1.913000-4 1.717480+5 1.916000-4 1.762600+5 1.920000-4 1.814216+5 1.924000-4 1.857248+5 1.929000-4 1.900400+5 1.935000-4 1.938760+5 1.941000-4 1.964768+5 1.947000-4 1.980792+5 1.953000-4 1.988888+5 1.961000-4 1.990296+5 1.973000-4 1.978672+5 1.990000-4 1.946856+5 2.030000-4 1.859392+5 2.050000-4 1.824984+5 2.070000-4 1.801840+5 2.090000-4 1.791896+5 2.105000-4 1.793960+5 2.120000-4 1.804704+5 2.137962-4 1.829545+5 2.156300-4 1.868836+5 2.175000-4 1.923760+5 2.190000-4 1.978784+5 2.205000-4 2.043552+5 2.221900-4 2.128182+5 2.240000-4 2.232336+5 2.264644-4 2.396544+5 2.290868-4 2.599530+5 2.317395-4 2.834960+5 2.350000-4 3.167232+5 2.398833-4 3.758713+5 2.520000-4 5.749064+5 2.570396-4 6.785612+5 2.600160-4 7.444306+5 2.635000-4 8.249600+5 2.670000-4 9.086720+5 2.710000-4 1.006544+6 2.750000-4 1.105672+6 2.787700-4 1.199361+6 2.830000-4 1.304088+6 2.880000-4 1.426600+6 2.930000-4 1.546904+6 2.985383-4 1.676671+6 3.040300-4 1.800535+6 3.100000-4 1.928096+6 3.153500-4 2.034795+6 3.200000-4 2.120760+6 3.260000-4 2.221624+6 3.320000-4 2.310848+6 3.390000-4 2.400632+6 3.470000-4 2.485792+6 3.550000-4 2.554720+6 3.650000-4 2.621424+6 3.758374-4 2.672646+6 3.850000-4 2.700512+6 3.970000-4 2.717360+6 4.100000-4 2.713200+6 4.216965-4 2.693008+6 4.365158-4 2.650962+6 4.550000-4 2.581384+6 4.731513-4 2.500975+6 4.930000-4 2.403136+6 5.150000-4 2.286176+6 5.400000-4 2.148888+6 5.717600-4 1.977938+6 6.025596-4 1.820185+6 6.382635-4 1.648082+6 6.760830-4 1.480544+6 7.244360-4 1.291157+6 7.673615-4 1.144776+6 8.200000-4 9.888320+5 8.810489-4 8.376253+5 9.440609-4 7.093672+5 1.011579-3 5.965338+5 1.096478-3 4.841407+5 1.174898-3 4.023284+5 1.288250-3 3.119384+5 1.400000-3 2.461056+5 1.548817-3 1.830115+5 1.698244-3 1.385673+5 1.862087-3 1.042254+5 2.089296-3 7.228592+4 2.317395-3 5.153826+4 2.521000-3 3.892700+4 2.800000-3 2.724584+4 3.150000-3 1.808920+4 3.507519-3 1.234712+4 3.935501-3 8.134543+3 4.415704-3 5.314474+3 4.900000-3 3.591824+3 5.432503-3 2.420125+3 6.025596-3 1.617619+3 6.760830-3 1.026792+3 7.585776-3 6.469092+2 8.609938-3 3.861118+2 9.660509-3 2.398223+2 1.096478-2 1.409806+2 1.244515-2 8.227316+1 1.412538-2 4.766456+1 1.584893-2 2.883104+1 1.819701-2 1.564991+1 2.089296-2 8.432596+0 2.426610-2 4.283298+0 2.884032-2 1.944816+0 3.507519-2 7.886019-1 4.415704-2 2.703853-1 5.888437-2 7.030844-2 7.444800-2 2.340783-2 8.317638-2 1.393868-2 9.772372-2 6.526084-3 1.096478-1 3.823213-3 1.258925-1 2.028374-3 1.445440-1 1.084608-3 1.678804-1 5.540034-4 1.883649-1 3.327395-4 2.089296-1 2.117521-4 2.344229-1 1.292110-4 2.540973-1 9.200705-5 2.754229-1 6.594428-5 2.951209-1 4.988082-5 3.198895-1 3.633643-5 3.467369-1 2.665637-5 3.801894-1 1.885168-5 4.168694-1 1.342790-5 4.570882-1 9.632529-6 5.370318-1 5.452282-6 5.688529-1 4.474763-6 6.025596-1 3.695784-6 6.382635-1 3.082722-6 6.839117-1 2.498390-6 7.079458-1 2.254218-6 7.852356-1 1.637438-6 8.413951-1 1.332283-6 8.912509-1 1.130151-6 9.332543-1 9.970473-7 9.772372-1 8.856303-7 1.022000+0 7.952200-7 1.071519+0 7.151982-7 1.122018+0 6.492535-7 1.188502+0 5.796697-7 1.273503+0 5.102153-7 1.380384+0 4.429627-7 1.513561+0 3.789210-7 1.883649+0 2.580719-7 2.113489+0 2.121180-7 2.371374+0 1.755990-7 2.691535+0 1.436985-7 3.162278+0 1.123151-7 3.672823+0 8.998477-8 4.265795+0 7.262538-8 5.011872+0 5.809376-8 5.956621+0 4.608543-8 7.161434+0 3.630350-8 8.709636+0 2.839752-8 1.059254+1 2.237599-8 1.348963+1 1.681551-8 1.737801+1 1.258155-8 2.290868+1 9.244619-9 3.162278+1 6.510367-9 4.570882+1 4.400108-9 7.244360+1 2.721172-9 1.244515+2 1.561830-9 2.483133+2 7.74719-10 4.954502+2 3.86333-10 1.972423+3 9.66691-11 1.000000+5 1.90380-12 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 1.893000-4 9.273300-5 1.000000+5 9.273300-5 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 1.893000-4 2.816400-8 1.000000+5 2.816400-8 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 1.893000-4 9.653884-5 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 1.813400-4 5.073160+4 1.834000-4 5.290400+4 1.850000-4 5.430240+4 1.868000-4 5.556240+4 1.890000-4 5.682560+4 1.910000-4 5.773920+4 1.940000-4 5.876400+4 1.972423-4 5.949060+4 2.000000-4 5.984780+4 2.041738-4 6.000960+4 2.100000-4 5.971020+4 2.350000-4 5.707720+4 2.650000-4 5.505520+4 2.800000-4 5.379760+4 2.985383-4 5.195807+4 3.311311-4 4.864052+4 3.600000-4 4.585140+4 3.850000-4 4.346100+4 4.200000-4 4.021940+4 4.700000-4 3.608460+4 5.150000-4 3.279840+4 5.754399-4 2.894738+4 6.456542-4 2.525877+4 7.244360-4 2.186564+4 8.222426-4 1.853445+4 9.549926-4 1.511266+4 1.096478-3 1.243749+4 1.288250-3 9.837522+3 1.548817-3 7.466298+3 1.862087-3 5.623100+3 2.238721-3 4.206336+3 2.722701-3 3.066497+3 3.273407-3 2.260672+3 3.890451-3 1.687476+3 4.677351-3 1.226330+3 5.623413-3 8.845872+2 6.839116-3 6.203112+2 8.317638-3 4.314985+2 1.000000-2 3.044300+2 1.216186-2 2.085348+2 1.462177-2 1.450047+2 1.757924-2 1.001087+2 2.113489-2 6.860373+1 2.540973-2 4.665687+1 3.054921-2 3.148329+1 3.672823-2 2.107365+1 4.415704-2 1.399436+1 5.248075-2 9.464330+0 6.309573-2 6.187377+0 7.585776-2 4.014035+0 9.660509-2 2.251586+0 1.148154-1 1.478113+0 1.531088-1 7.261626-1 2.722701-1 1.736744-1 3.311311-1 1.074668-1 3.935501-1 7.085690-2 4.570882-1 4.975371-2 5.308844-1 3.519976-2 6.095369-1 2.577010-2 6.918310-1 1.950603-2 7.852356-1 1.486669-2 8.912509-1 1.140316-2 9.885531-1 9.240454-3 1.188502+0 6.429793-3 1.318257+0 5.273740-3 1.496236+0 4.172220-3 1.698244+0 3.329683-3 1.972423+0 2.571704-3 2.213095+0 2.120187-3 2.511886+0 1.727996-3 2.884032+0 1.393608-3 3.388442+0 1.092838-3 3.935501+0 8.785675-4 4.623810+0 7.001218-4 5.495409+0 5.533905-4 6.531306+0 4.408440-4 7.943282+0 3.435788-4 9.772372+0 2.660464-4 1.216186+1 2.048467-4 1.496236+1 1.609738-4 1.905461+1 1.223781-4 2.511886+1 9.015124-5 3.467369+1 6.363343-5 5.069907+1 4.257370-5 8.128305+1 2.606534-5 1.584893+2 1.317261-5 3.162278+2 6.548187-6 6.309573+2 3.268446-6 5.011872+3 4.100554-7 1.000000+5 2.053900-8 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 1.813400-4 1.129300-4 1.000000+5 1.129300-4 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.813400-4 1.872600-9 1.000000+5 1.872600-9 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.813400-4 6.840813-5 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 1.357300-4 4.024960+5 1.361000-4 4.183140+5 1.364583-4 4.318008+5 1.368500-4 4.441420+5 1.373000-4 4.552720+5 1.377000-4 4.629740+5 1.382000-4 4.695800+5 1.388000-4 4.742220+5 1.395000-4 4.758260+5 1.402000-4 4.741740+5 1.410000-4 4.695060+5 1.420000-4 4.610040+5 1.435000-4 4.452700+5 1.462177-4 4.140992+5 1.540000-4 3.355000+5 1.584893-4 3.001964+5 1.650000-4 2.587200+5 1.737801-4 2.151845+5 1.862087-4 1.694696+5 1.980000-4 1.378782+5 2.100100-4 1.139227+5 2.220000-4 9.586620+4 2.330000-4 8.304100+4 2.426610-4 7.402519+4 2.511886-4 6.745559+4 2.620000-4 6.062320+4 2.730000-4 5.502560+4 2.851018-4 5.006558+4 2.985383-4 4.564934+4 3.126079-4 4.192635+4 3.280000-4 3.863320+4 3.430000-4 3.601980+4 3.600000-4 3.360480+4 3.801894-4 3.130439+4 4.027170-4 2.925428+4 4.365158-4 2.683481+4 4.789300-4 2.449392+4 6.918310-4 1.754675+4 8.035261-4 1.522844+4 9.120108-4 1.341284+4 1.035142-3 1.173566+4 1.190000-3 1.004834+4 1.364583-3 8.554005+3 1.548817-3 7.318020+3 1.757924-3 6.216752+3 2.000000-3 5.228160+3 2.264644-3 4.394455+3 2.570396-3 3.656168+3 2.917427-3 3.019980+3 3.311311-3 2.476479+3 3.758374-3 2.015572+3 4.265795-3 1.628554+3 4.841724-3 1.306032+3 5.495409-3 1.039794+3 6.237348-3 8.219367+2 7.079458-3 6.451216+2 8.035261-3 5.027082+2 9.120108-3 3.890128+2 1.035142-2 2.989581+2 1.174898-2 2.281804+2 1.348963-2 1.686284+2 1.548817-2 1.236315+2 1.778279-2 8.993321+1 2.041738-2 6.491983+1 2.344229-2 4.650845+1 2.691535-2 3.307833+1 3.090295-2 2.336281+1 3.589219-2 1.590900+1 4.168694-2 1.075409+1 4.897788-2 6.999706+0 5.821032-2 4.385194+0 7.079458-2 2.561540+0 8.810489-2 1.393356+0 1.071519-1 8.029696-1 1.927525-1 1.514346-1 2.398833-1 8.187450-2 2.851018-1 5.073583-2 3.311311-1 3.374093-2 3.801894-1 2.331085-2 4.365158-1 1.622455-2 4.954502-1 1.172541-2 5.559043-1 8.789024-3 6.237348-1 6.634399-3 6.998420-1 5.045515-3 7.762471-1 3.970944-3 8.709636-1 3.063221-3 9.440609-1 2.570466-3 1.023293+0 2.171970-3 1.122018+0 1.805022-3 1.244515+0 1.477074-3 1.396368+0 1.192211-3 1.621810+0 9.109890-4 1.883649+0 7.016946-4 2.137962+0 5.660748-4 2.398833+0 4.689411-4 2.722701+0 3.840003-4 3.235937+0 2.951633-4 3.758374+0 2.367503-4 4.365158+0 1.912901-4 5.128614+0 1.531720-4 6.095369+0 1.216342-4 7.328245+0 9.591071-5 8.912509+0 7.509148-5 1.083927+1 5.921814-5 1.364583+1 4.513895-5 1.737801+1 3.422728-5 2.290868+1 2.514966-5 3.162278+1 1.771096-5 4.570882+1 1.197045-5 7.244360+1 7.402787-6 1.244515+2 4.248882-6 2.483133+2 2.107633-6 4.954502+2 1.051009-6 1.972423+3 2.629847-7 1.000000+5 5.179100-9 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 1.357300-4 7.937000-5 1.000000+5 7.937000-5 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.357300-4 3.518500-9 1.000000+5 3.518500-9 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.357300-4 5.635648-5 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 1.075200-4 8.304760+5 1.082000-4 8.492440+5 1.088000-4 8.599120+5 1.096478-4 8.675379+5 1.104000-4 8.680720+5 1.111000-4 8.647560+5 1.123000-4 8.524280+5 1.137000-4 8.316480+5 1.152000-4 8.056520+5 1.175000-4 7.634120+5 1.220000-4 6.833800+5 1.303167-4 5.607279+5 1.350000-4 5.066640+5 1.400000-4 4.589280+5 1.450000-4 4.197280+5 1.500000-4 3.874368+5 1.560000-4 3.558548+5 1.621810-4 3.295503+5 1.698244-4 3.033477+5 1.778279-4 2.811828+5 1.883649-4 2.576154+5 2.000000-4 2.368100+5 2.120000-4 2.196016+5 2.264644-4 2.031579+5 2.449500-4 1.868255+5 3.630781-4 1.268250+5 4.200000-4 1.091448+5 4.786301-4 9.467398+4 5.432503-4 8.187481+4 6.200000-4 6.984960+4 7.079458-4 5.907460+4 8.035261-4 5.001592+4 9.225714-4 4.140425+4 1.071519-3 3.346672+4 1.244515-3 2.683767+4 1.462177-3 2.097432+4 1.698244-3 1.655161+4 1.950000-3 1.321008+4 2.264644-3 1.027416+4 2.630268-3 7.923230+3 3.019952-3 6.186529+3 3.427678-3 4.899469+3 3.935501-3 3.769836+3 4.518559-3 2.878414+3 5.128614-3 2.232101+3 5.888437-3 1.678224+3 6.760830-3 1.251852+3 7.762471-3 9.264911+2 8.810489-3 6.981408+2 1.000000-2 5.224440+2 1.148154-2 3.779228+2 1.318257-2 2.712261+2 1.500000-2 1.974788+2 1.717908-2 1.404364+2 1.972423-2 9.846927+1 2.264644-2 6.851087+1 2.600160-2 4.730524+1 3.000000-2 3.198887+1 3.467369-2 2.136165+1 4.027170-2 1.396000+1 4.677351-2 9.047929+0 5.495409-2 5.627239+0 6.531306-2 3.356146+0 7.943282-2 1.852918+0 1.000000-1 9.134669-1 1.798871-1 1.474907-1 2.238721-1 7.525585-2 2.630268-1 4.615099-2 3.019952-1 3.055801-2 3.427678-1 2.108699-2 3.890451-1 1.465885-2 4.365158-1 1.060812-2 4.897788-1 7.734421-3 5.432503-1 5.861293-3 6.025596-1 4.472683-3 6.683439-1 3.437867-3 7.413102-1 2.662085-3 8.609938-1 1.858636-3 9.225714-1 1.584461-3 9.772372-1 1.394972-3 1.047129+0 1.206452-3 1.135011+0 1.025400-3 1.244515+0 8.579721-4 1.380384+0 7.085706-4 1.678804+0 4.999794-4 1.949845+0 3.856656-4 2.187762+0 3.177039-4 2.483133+0 2.587519-4 2.851018+0 2.085611-4 3.349654+0 1.634622-4 3.890451+0 1.313349-4 4.570882+0 1.045999-4 5.432503+0 8.263489-5 6.456542+0 6.579506-5 7.762471+0 5.200135-5 9.549926+0 4.023044-5 1.174898+1 3.137567-5 1.428894+1 2.495679-5 1.800000+1 1.918300-5 2.371374+1 1.411774-5 3.311311+1 9.828646-6 4.841724+1 6.569824-6 7.762471+1 4.018985-6 1.462177+2 2.102320-6 2.917427+2 1.044396-6 5.821032+2 5.211217-7 4.623810+3 6.536073-8 1.000000+5 3.020000-9 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 1.075200-4 7.747900-5 1.000000+5 7.747900-5 1 84000 7 7 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.075200-4 7.26060-10 1.000000+5 7.26060-10 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.075200-4 3.004027-5 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 4.216000-5 1.304244+6 4.250000-5 1.367416+6 4.280000-5 1.433680+6 4.310000-5 1.512160+6 4.345000-5 1.621336+6 4.370000-5 1.711776+6 4.400000-5 1.836240+6 4.430000-5 1.978620+6 4.466836-5 2.181066+6 4.500000-5 2.393028+6 4.535000-5 2.650524+6 4.580000-5 3.038748+6 4.630000-5 3.555084+6 4.700000-5 4.452280+6 4.870000-5 7.686080+6 4.920000-5 8.963160+6 4.970000-5 1.039144+7 5.020000-5 1.195784+7 5.060000-5 1.329328+7 5.095000-5 1.450608+7 5.130000-5 1.574436+7 5.170000-5 1.716220+7 5.200000-5 1.821056+7 5.230000-5 1.922968+7 5.270000-5 2.051716+7 5.310100-5 2.169733+7 5.340000-5 2.248940+7 5.370318-5 2.320454+7 5.410000-5 2.399412+7 5.450000-5 2.461576+7 5.490000-5 2.506164+7 5.520000-5 2.528160+7 5.560000-5 2.543888+7 5.595000-5 2.545728+7 5.630000-5 2.537636+7 5.670000-5 2.517816+7 5.730000-5 2.470840+7 5.800000-5 2.397176+7 5.870000-5 2.311192+7 5.956621-5 2.195766+7 6.095369-5 2.008547+7 7.413102-5 8.977541+6 7.800000-5 7.239080+6 8.222426-5 5.751385+6 8.810489-5 4.218283+6 1.120000-4 1.405868+6 1.220000-4 9.444600+5 1.303167-4 6.906299+5 1.400000-4 4.877080+5 1.621810-4 2.364403+5 1.698244-4 1.894281+5 1.760000-4 1.602928+5 1.820000-4 1.378208+5 1.880000-4 1.199072+5 1.930900-4 1.075935+5 1.980000-4 9.777280+4 2.020000-4 9.103040+4 2.065380-4 8.454352+4 2.113489-4 7.881611+4 2.162719-4 7.398826+4 2.213095-4 6.995482+4 2.264644-4 6.662036+4 2.317395-4 6.389903+4 2.371374-4 6.171288+4 2.430000-4 5.990240+4 2.483133-4 5.867651+4 2.540973-4 5.770806+4 2.600160-4 5.703777+4 2.660725-4 5.662107+4 2.754229-4 5.638500+4 2.851018-4 5.651405+4 3.000000-4 5.716360+4 3.507519-4 6.019504+4 3.758374-4 6.122259+4 4.027170-4 6.179670+4 4.280000-4 6.189040+4 4.518559-4 6.158765+4 4.786301-4 6.089633+4 5.069907-4 5.983990+4 5.432503-4 5.815376+4 5.800000-4 5.619280+4 6.237348-4 5.364396+4 6.683439-4 5.094400+4 7.190600-4 4.790606+4 7.762471-4 4.456172+4 8.317638-4 4.148174+4 9.015711-4 3.789369+4 9.850000-4 3.401632+4 1.071519-3 3.045752+4 1.161449-3 2.722490+4 1.264650-3 2.401664+4 1.380384-3 2.096207+4 1.513561-3 1.804110+4 1.659587-3 1.541132+4 1.819701-3 1.307067+4 2.000000-3 1.095828+4 2.187762-3 9.208628+3 2.398833-3 7.651563+3 2.630268-3 6.315393+3 2.884032-3 5.178205+3 3.162278-3 4.217909+3 3.507519-3 3.323013+3 3.890451-3 2.597268+3 4.315191-3 2.014228+3 4.786301-3 1.550315+3 5.308844-3 1.184607+3 5.888437-3 8.987728+2 6.531306-3 6.771866+2 7.244360-3 5.067871+2 8.128305-3 3.644206+2 9.120108-3 2.599810+2 1.023293-2 1.840200+2 1.148154-2 1.292813+2 1.288250-2 9.016963+1 1.462177-2 6.018939+1 1.659587-2 3.985664+1 1.883649-2 2.618787+1 2.137962-2 1.707665+1 2.426610-2 1.105563+1 2.786121-2 6.829213+0 3.198895-2 4.188518+0 3.715352-2 2.448634+0 4.415704-2 1.307529+0 5.248075-2 6.931228-1 6.606934-2 2.947054-1 1.258925-1 2.643582-2 1.566751-1 1.174388-2 1.862087-1 6.230643-3 2.187762-1 3.474386-3 2.483133-1 2.210211-3 2.818383-1 1.416408-3 3.090295-1 1.030674-3 3.467369-1 6.979727-4 3.890451-1 4.762260-4 4.365158-1 3.272752-4 4.841724-1 2.351577-4 5.370318-1 1.702433-4 5.888437-1 1.286150-4 6.456542-1 9.778751-5 7.079458-1 7.488070-5 7.673615-1 5.966995-5 8.609938-1 4.336648-5 9.120108-1 3.722506-5 9.549926-1 3.314641-5 1.000000+0 2.970800-5 1.047129+0 2.680915-5 1.109175+0 2.374776-5 1.174898+0 2.117860-5 1.258925+0 1.859340-5 1.364583+0 1.608862-5 1.531087+0 1.317460-5 1.862087+0 9.341615-6 2.113489+0 7.527666-6 2.371374+0 6.231659-6 2.691535+0 5.099737-6 3.162278+0 3.986070-6 3.672823+0 3.193488-6 4.265795+0 2.577401-6 5.011872+0 2.061720-6 5.956621+0 1.635561-6 7.161434+0 1.288340-6 8.709636+0 1.007819-6 1.059254+1 7.940967-7 1.348963+1 5.967562-7 1.737801+1 4.465102-7 2.290868+1 3.280822-7 3.126079+1 2.339299-7 4.466836+1 1.599913-7 6.998420+1 1.000869-7 1.161449+2 5.947715-8 2.317395+2 2.948234-8 4.623810+2 1.469583-8 1.840772+3 3.676696-9 1.000000+5 6.75630-11 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 4.216000-5 4.216000-5 1.000000+5 4.216000-5 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 4.216000-5 0.0 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 3.851000-5 2.427084+6 3.890451-5 2.534034+6 3.920000-5 2.634870+6 3.945000-5 2.735136+6 3.980000-5 2.903832+6 4.000000-5 3.015162+6 4.030000-5 3.205644+6 4.060000-5 3.426168+6 4.090000-5 3.679170+6 4.120975-5 3.977743+6 4.165000-5 4.474500+6 4.208000-5 5.051608+6 4.260000-5 5.886996+6 4.315191-5 6.960652+6 4.400000-5 9.043620+6 4.518559-5 1.297094+7 4.570882-5 1.510573+7 4.630000-5 1.779858+7 4.680000-5 2.027490+7 4.720000-5 2.235330+7 4.760000-5 2.448060+7 4.800000-5 2.661630+7 4.835000-5 2.845446+7 4.870000-5 3.022932+7 4.910000-5 3.213798+7 4.935000-5 3.324594+7 4.970000-5 3.466566+7 5.000000-5 3.574476+7 5.040000-5 3.696714+7 5.080000-5 3.792882+7 5.115300-5 3.855887+7 5.150000-5 3.898194+7 5.190000-5 3.924162+7 5.230000-5 3.927774+7 5.270000-5 3.911598+7 5.315000-5 3.873222+7 5.370318-5 3.802463+7 5.432503-5 3.699878+7 5.500000-5 3.570462+7 5.580000-5 3.403908+7 5.690000-5 3.168858+7 5.888437-5 2.767273+7 6.918310-5 1.435690+7 7.328245-5 1.128156+7 7.673615-5 9.245589+6 8.128305-5 7.155854+6 8.709636-5 5.219512+6 1.000000-4 2.745900+6 1.109175-4 1.687885+6 1.202264-4 1.148427+6 1.303167-4 7.748419+5 1.513561-4 3.694978+5 1.584893-4 2.958466+5 1.650000-4 2.452440+5 1.705000-4 2.119206+5 1.760000-4 1.853640+5 1.810000-4 1.659462+5 1.850000-4 1.530786+5 1.890000-4 1.422078+5 1.930000-4 1.330452+5 1.972423-4 1.249204+5 2.020000-4 1.174590+5 2.065380-4 1.117074+5 2.113489-4 1.068222+5 2.162719-4 1.028931+5 2.213095-4 9.979346+4 2.264644-4 9.740704+4 2.326900-4 9.537330+4 2.400000-4 9.390480+4 2.483133-4 9.312912+4 2.580000-4 9.306060+4 2.691535-4 9.368591+4 2.851018-4 9.525960+4 3.235937-4 9.946438+4 3.467369-4 1.011812+5 3.700000-4 1.020744+5 3.935501-4 1.022105+5 4.168694-4 1.016989+5 4.430000-4 1.004430+5 4.700000-4 9.859800+4 5.011872-4 9.591019+4 5.370318-4 9.244439+4 5.754399-4 8.840114+4 6.165950-4 8.394331+4 6.700000-4 7.815900+4 7.190600-4 7.303156+4 7.673615-4 6.825813+4 8.413951-4 6.146309+4 9.225714-4 5.483607+4 1.000000-3 4.925430+4 1.083927-3 4.396368+4 1.188502-3 3.833492+4 1.303167-3 3.316008+4 1.428894-3 2.846314+4 1.566751-3 2.425632+4 1.717908-3 2.052894+4 1.883649-3 1.725394+4 2.065380-3 1.440380+4 2.264644-3 1.194571+4 2.483133-3 9.841503+3 2.722701-3 8.054623+3 3.000000-3 6.476460+3 3.311311-3 5.147841+3 3.672823-3 4.014117+3 4.073803-3 3.105808+3 4.518559-3 2.384918+3 5.011872-3 1.817639+3 5.559043-3 1.375030+3 6.165950-3 1.032777+3 6.839116-3 7.703318+2 7.585776-3 5.707717+2 8.413951-3 4.200977+2 9.440609-3 2.965634+2 1.059254-2 2.077626+2 1.188502-2 1.444704+2 1.333521-2 9.968533+1 1.496236-2 6.824545+1 1.678804-2 4.630208+1 1.905461-2 2.998090+1 2.213095-2 1.778991+1 2.540973-2 1.090630+1 2.917427-2 6.637378+0 3.349654-2 4.007372+0 3.890451-2 2.302267+0 4.570882-2 1.258084+0 5.370318-2 6.827748-1 6.760830-2 2.825572-1 1.202264-1 3.071558-2 1.462177-1 1.453782-2 1.717908-1 7.903423-3 1.972423-1 4.720542-3 2.238721-1 2.963862-3 2.511886-1 1.955398-3 2.786121-1 1.354136-3 3.054921-1 9.830609-4 3.388442-1 6.913563-4 3.715352-1 5.090158-4 4.120975-1 3.634811-4 4.518559-1 2.713517-4 4.954502-1 2.040326-4 5.432503-1 1.545843-4 5.956621-1 1.180421-4 6.456542-1 9.385734-5 6.998420-1 7.510646-5 7.585776-1 6.049555-5 8.511380-1 4.475697-5 9.015711-1 3.870782-5 9.549926-1 3.370068-5 1.000000+0 3.033800-5 1.059254+0 2.679492-5 1.135011+0 2.326481-5 1.216186+0 2.034520-5 1.318257+0 1.752635-5 1.462177+0 1.458527-5 1.840772+0 9.730195-6 2.089296+0 7.837064-6 2.344229+0 6.483337-6 2.660725+0 5.302167-6 3.126079+0 4.141871-6 3.630781+0 3.316424-6 4.216965+0 2.675171-6 4.954502+0 2.138814-6 5.888437+0 1.695765-6 7.000000+0 1.354600-6 8.511380+0 1.058968-6 1.035142+1 8.336599-7 1.318257+1 6.259466-7 1.717908+1 4.619385-7 2.264644+1 3.393172-7 3.126079+1 2.388827-7 4.518559+1 1.614083-7 7.161434+1 9.980371-8 1.216186+2 5.794848-8 2.426610+2 2.873838-8 4.841724+2 1.432871-8 1.927525+3 3.585224-9 1.000000+5 6.89960-11 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 3.851000-5 3.851000-5 1.000000+5 3.851000-5 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 3.851000-5 0.0 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 2.033000-5 1.422098+6 2.089296-5 1.278037+6 2.213095-5 1.006536+6 2.691535-5 4.428829+5 2.900000-5 3.257400+5 3.080000-5 2.558320+5 3.235937-5 2.111871+5 3.395400-5 1.764638+5 3.548134-5 1.508632+5 3.690000-5 1.321416+5 3.801894-5 1.200590+5 3.950000-5 1.069376+5 4.073803-5 9.798207+4 4.220000-5 8.927100+4 4.365158-5 8.221305+4 4.518559-5 7.611238+4 4.677351-5 7.095597+4 4.850000-5 6.639440+4 5.011872-5 6.289151+4 5.188000-5 5.974259+4 5.400000-5 5.665720+4 5.650000-5 5.375320+4 5.956621-5 5.096094+4 6.309573-5 4.846303+4 6.800000-5 4.578620+4 7.585776-5 4.254874+4 9.332543-5 3.720469+4 1.047129-4 3.429461+4 1.161449-4 3.163624+4 1.303167-4 2.868053+4 1.513561-4 2.501938+4 1.800000-4 2.120060+4 2.041738-4 1.868686+4 2.264644-4 1.674038+4 2.570396-4 1.451639+4 2.985383-4 1.216652+4 3.427678-4 1.026425+4 4.073803-4 8.226028+3 4.786301-4 6.654285+3 5.500000-4 5.502940+3 6.531306-4 4.315909+3 8.128305-4 3.138595+3 9.660509-4 2.424889+3 1.216186-3 1.704502+3 1.531087-3 1.188796+3 1.927525-3 8.229098+2 2.426610-3 5.653068+2 3.019952-3 3.926403+2 3.715352-3 2.758641+2 4.518559-3 1.961766+2 5.495409-3 1.384439+2 6.683439-3 9.696171+1 8.128305-3 6.740537+1 1.011579-2 4.453439+1 1.230269-2 3.047227+1 1.479108-2 2.116594+1 1.778279-2 1.459668+1 2.137962-2 9.993537+0 2.570396-2 6.790794+0 3.090295-2 4.578884+0 3.715352-2 3.062712+0 4.466836-2 2.032554+0 5.248075-2 1.410344+0 6.309573-2 9.214757-1 7.673615-2 5.816245-1 9.415000-2 3.567396-1 1.174898-1 2.077735-1 1.603245-1 9.636773-2 2.722701-1 2.584720-2 3.311311-1 1.599433-2 3.935501-1 1.054621-2 4.570882-1 7.405511-3 5.308844-1 5.239536-3 6.095369-1 3.836201-3 6.918310-1 2.903973-3 7.852356-1 2.213571-3 8.912509-1 1.698264-3 9.885531-1 1.376384-3 1.188502+0 9.578071-4 1.318257+0 7.855855-4 1.496236+0 6.214738-4 1.698244+0 4.959834-4 1.972423+0 3.830706-4 2.213095+0 3.157983-4 2.511886+0 2.573831-4 2.884032+0 2.075842-4 3.388442+0 1.627798-4 3.935501+0 1.308601-4 4.623810+0 1.042831-4 5.495409+0 8.242950-5 6.531306+0 6.566496-5 7.852356+0 5.192265-5 9.660509+0 4.018690-5 1.202264+1 3.093088-5 1.462177+1 2.462088-5 1.840772+1 1.894955-5 2.426610+1 1.394550-5 3.311311+1 9.957559-6 4.786301+1 6.736344-6 7.673615+1 4.120095-6 1.428894+2 2.180216-6 2.851018+2 1.082840-6 5.688529+2 5.402835-7 4.518559+3 6.775565-8 1.000000+5 3.059300-9 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 2.033000-5 2.033000-5 1.000000+5 2.033000-5 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 2.033000-5 0.0 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 1.025000-5 2.365621+7 1.050000-5 2.327274+7 1.083927-5 2.259039+7 1.122018-5 2.167470+7 1.150000-5 2.093555+7 1.190000-5 1.982435+7 1.230269-5 1.867489+7 1.280000-5 1.725436+7 1.333521-5 1.578517+7 1.396368-5 1.416748+7 1.462177-5 1.262312+7 1.548817-5 1.083796+7 1.650000-5 9.093884+6 1.778279-5 7.334304+6 1.972423-5 5.400625+6 2.630268-5 2.284404+6 3.090295-5 1.422037+6 3.672823-5 8.629075+5 5.308844-5 3.000927+5 6.531306-5 1.644254+5 8.413951-5 7.861012+4 9.660509-5 5.287004+4 1.083927-4 3.821638+4 1.202264-4 2.871178+4 1.318257-4 2.241416+4 1.428894-4 1.816326+4 1.548817-4 1.481998+4 1.678804-4 1.218877+4 1.809700-4 1.023466+4 1.950000-4 8.664992+3 2.089296-4 7.482891+3 2.238721-4 6.507659+3 2.400000-4 5.699239+3 2.570396-4 5.041425+3 2.754229-4 4.489216+3 2.951209-4 4.025409+3 3.162278-4 3.632682+3 3.427678-4 3.246398+3 3.715352-4 2.921453+3 4.073803-4 2.608865+3 4.570882-4 2.285056+3 7.413102-4 1.336485+3 9.000000-4 1.072484+3 1.059254-3 8.836547+2 1.244515-3 7.243281+2 1.445440-3 5.979937+2 1.678804-3 4.900427+2 1.949845-3 3.984628+2 2.187762-3 3.379538+2 2.511886-3 2.736886+2 2.884032-3 2.200344+2 3.054921-3 2.002560+2 4.027170-3 1.254250+2 4.168694-3 1.184605+2 4.731513-3 9.707519+1 5.011872-3 8.831149+1 5.432503-3 7.646185+1 6.095369-3 6.162282+1 6.918310-3 4.839858+1 7.852356-3 3.775113+1 8.912509-3 2.924432+1 1.011579-2 2.250045+1 1.148154-2 1.719478+1 1.318257-2 1.272513+1 1.513561-2 9.343194+0 1.737801-2 6.806416+0 2.000000-2 4.892919+0 2.290868-2 3.530113+0 2.630268-2 2.514185+0 3.019952-2 1.778116+0 3.507519-2 1.212445+0 4.073803-2 8.206433-1 4.786301-2 5.348333-1 5.688529-2 3.353845-1 6.760830-2 2.087262-1 8.317638-2 1.171938-1 1.059254-1 5.927884-2 1.883649-1 1.155300-2 2.371374-1 6.044832-3 2.818383-1 3.744409-3 3.273407-1 2.489158-3 3.758374-1 1.718999-3 4.315191-1 1.195858-3 4.897788-1 8.637913-4 5.495409-1 6.471336-4 6.165950-1 4.882553-4 6.918310-1 3.711571-4 7.673615-1 2.919732-4 8.609938-1 2.251661-4 9.332543-1 1.888377-4 1.011579+0 1.594344-4 1.109175+0 1.324034-4 1.230269+0 1.082565-4 1.364583+0 8.916566-5 1.566751+0 6.944292-5 1.798871+0 5.446581-5 2.089296+0 4.217405-5 2.344229+0 3.488949-5 2.660725+0 2.853315-5 3.126079+0 2.228897-5 3.630781+0 1.784677-5 4.216965+0 1.439592-5 4.954502+0 1.150968-5 5.888437+0 9.125638-6 7.000000+0 7.289500-6 8.511380+0 5.698652-6 1.035142+1 4.486216-6 1.318257+1 3.368456-6 1.717908+1 2.485857-6 2.264644+1 1.826018-6 3.090295+1 1.301628-6 4.415704+1 8.899601-7 6.918310+1 5.566466-7 1.135011+2 3.346374-7 2.264644+2 1.658415-7 4.518559+2 8.265224-8 9.015711+2 4.129748-8 1.000000+5 3.71290-10 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 1.025000-5 1.025000-5 1.000000+5 1.025000-5 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 1.025000-5 0.0 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 7.440000-6 5.801792+7 7.762471-6 5.447922+7 8.128305-6 5.048093+7 8.511380-6 4.641676+7 8.912509-6 4.236753+7 9.350000-6 3.826458+7 9.850000-6 3.399018+7 1.035142-5 3.015372+7 1.096478-5 2.605308+7 1.161449-5 2.235193+7 1.230269-5 1.905799+7 1.318257-5 1.563166+7 1.428894-5 1.231127+7 1.570000-5 9.242172+6 1.819701-5 5.841038+6 2.400000-5 2.454566+6 2.818383-5 1.493122+6 3.311311-5 9.139444+5 3.845918-5 5.836643+5 4.365158-5 4.019275+5 4.897788-5 2.882593+5 5.400000-5 2.190189+5 5.821032-5 1.783615+5 6.309573-5 1.441258+5 6.800000-5 1.191404+5 7.300000-5 1.002276+5 7.800000-5 8.587717+4 8.317638-5 7.441552+4 8.912509-5 6.423510+4 9.549926-5 5.584583+4 1.023293-4 4.889394+4 1.096700-4 4.309992+4 1.174898-4 3.827807+4 1.260000-4 3.417738+4 1.350000-4 3.076591+4 1.462177-4 2.744361+4 1.603245-4 2.425295+4 1.800000-4 2.095160+4 2.089296-4 1.751048+4 3.090295-4 1.103575+4 4.168694-4 7.673685+3 4.954502-4 6.193599+3 5.688529-4 5.176944+3 6.531306-4 4.296568+3 7.852356-4 3.325349+3 9.120108-4 2.681599+3 1.059254-3 2.147028+3 1.244515-3 1.676410+3 1.462177-3 1.298850+3 1.717908-3 9.987542+2 2.089296-3 7.195376+2 2.454709-3 5.461375+2 2.851018-3 4.197920+2 3.273407-3 3.268760+2 3.718330-3 2.572159+2 4.265795-3 1.971421+2 4.897788-3 1.496945+2 5.623413-3 1.127974+2 6.456542-3 8.433336+1 7.413102-3 6.255749+1 8.511380-3 4.603853+1 9.772372-3 3.361345+1 1.122018-2 2.434663+1 1.288250-2 1.749445+1 1.479108-2 1.247097+1 1.698244-2 8.818990+0 1.949845-2 6.187469+0 2.238721-2 4.306928+0 2.570396-2 2.975005+0 2.951209-2 2.039754+0 3.388442-2 1.388332+0 3.935501-2 9.081963-1 4.570882-2 5.896674-1 5.370318-2 3.674617-1 6.309573-2 2.272817-1 7.585776-2 1.301753-1 9.440609-2 6.660020-2 1.216186-1 3.038081-2 1.798871-1 9.008799-3 2.238721-1 4.597694-3 2.630268-1 2.820106-3 3.019952-1 1.867644-3 3.427678-1 1.289032-3 3.890451-1 8.963140-4 4.365158-1 6.488526-4 4.897788-1 4.732839-4 5.432503-1 3.588201-4 6.025596-1 2.739559-4 6.683439-1 2.107107-4 7.413102-1 1.632976-4 8.609938-1 1.142271-4 9.225714-1 9.747396-5 9.772372-1 8.587532-5 1.047129+0 7.430971-5 1.148154+0 6.175656-5 1.258925+0 5.172117-5 1.396368+0 4.274054-5 1.698244+0 3.016606-5 1.972423+0 2.328387-5 2.213095+0 1.919522-5 2.511886+0 1.564500-5 2.884032+0 1.261814-5 3.388442+0 9.894651-6 3.935501+0 7.954280-6 4.623810+0 6.338680-6 5.495409+0 5.010253-6 6.531306+0 3.991253-6 7.852356+0 3.155960-6 9.660509+0 2.442580-6 1.202264+1 1.880001-6 1.462177+1 1.496462-6 1.862087+1 1.136994-6 2.454709+1 8.370028-7 3.388442+1 5.904838-7 4.954502+1 3.948688-7 7.943282+1 2.416570-7 1.513561+2 1.249806-7 3.019952+2 6.210424-8 6.025596+2 3.099214-8 4.786301+3 3.887727-9 1.000000+5 1.85950-10 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 7.440000-6 7.440000-6 1.000000+5 7.440000-6 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 7.440000-6 0.0 1.000000+5 1.000000+5 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 6.446820-7 1.025800+0 1.161850-6 1.026100+0 1.457680-6 1.026600+0 2.055000-6 1.027100+0 2.795870-6 1.027500+0 3.501790-6 1.028100+0 4.767630-6 1.028750+0 6.446820-6 1.029500+0 8.822640-6 1.030100+0 1.109550-5 1.031000+0 1.518250-5 1.032000+0 2.077340-5 1.033200+0 2.910010-5 1.034000+0 3.572300-5 1.035300+0 4.848900-5 1.036640+0 6.446820-5 1.038200+0 8.700190-5 1.039700+0 1.130330-4 1.041500+0 1.503890-4 1.043800+0 2.087450-4 1.046400+0 2.904290-4 1.048300+0 3.615920-4 1.051200+0 4.904920-4 1.054080+0 6.446820-4 1.057700+0 8.787430-4 1.061100+0 1.143020-3 1.065100+0 1.513240-3 1.070400+0 2.111130-3 1.076200+0 2.917570-3 1.080600+0 3.643570-3 1.087100+0 4.909090-3 1.093710+0 6.446820-3 1.102600+0 8.938350-3 1.110700+0 1.165720-2 1.120600+0 1.559360-2 1.133300+0 2.168150-2 1.147500+0 2.993540-2 1.158200+0 3.720210-2 1.174100+0 4.972250-2 1.190110+0 6.446820-2 1.205100+0 8.025220-2 1.227500+0 1.074130-1 1.250000+0 1.388000-1 1.265600+0 1.627810-1 1.294900+0 2.122970-1 1.331800+0 2.819470-1 1.362600+0 3.452920-1 1.397000+0 4.205880-1 1.433800+0 5.054660-1 1.477900+0 6.117900-1 1.500000+0 6.667000-1 1.562500+0 8.266220-1 1.617200+0 9.705930-1 1.712900+0 1.227400+0 1.784700+0 1.421420+0 1.892300+0 1.711180+0 2.000000+0 1.998000+0 2.044000+0 2.114000+0 2.163500+0 2.422990+0 2.372600+0 2.940510+0 2.686300+0 3.662560+0 3.000000+0 4.329000+0 3.500000+0 5.301470+0 4.000000+0 6.185000+0 5.000000+0 7.738000+0 6.000000+0 9.078000+0 7.000000+0 1.026000+1 8.000000+0 1.132000+1 9.000000+0 1.229000+1 1.000000+1 1.318000+1 1.100000+1 1.400000+1 1.200000+1 1.477000+1 1.300000+1 1.549000+1 1.400000+1 1.616000+1 1.500000+1 1.679000+1 1.600000+1 1.737000+1 1.800000+1 1.843000+1 2.000000+1 1.937000+1 2.200000+1 2.023000+1 2.400000+1 2.101000+1 2.600000+1 2.173000+1 2.800000+1 2.238000+1 3.000000+1 2.299000+1 4.000000+1 2.545000+1 5.000000+1 2.728000+1 6.000000+1 2.870000+1 8.000000+1 3.078000+1 1.000000+2 3.224000+1 1.500000+2 3.456000+1 2.000000+2 3.594000+1 3.000000+2 3.754000+1 4.000000+2 3.845000+1 5.000000+2 3.905000+1 6.000000+2 3.948000+1 8.000000+2 4.005000+1 1.000000+3 4.042000+1 1.500000+3 4.095000+1 2.000000+3 4.124000+1 3.000000+3 4.155000+1 4.000000+3 4.172000+1 5.000000+3 4.183000+1 6.000000+3 4.190000+1 8.000000+3 4.200000+1 1.000000+4 4.206000+1 1.500000+4 4.214000+1 2.000000+4 4.219000+1 3.000000+4 4.224000+1 4.000000+4 4.226000+1 5.000000+4 4.228000+1 6.000000+4 4.229000+1 8.000000+4 4.230000+1 1.000000+5 4.231000+1 1 84000 7 8 2.090000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 8.407170-7 2.090400+0 1.141490-6 2.094700+0 1.480110-6 2.099900+0 1.969070-6 2.106600+0 2.739150-6 2.114000+0 3.789960-6 2.119500+0 4.718470-6 2.127900+0 6.399140-6 2.136250+0 8.407170-6 2.147000+0 1.152680-5 2.156900+0 1.497200-5 2.169000+0 1.998100-5 2.184500+0 2.777430-5 2.201800+0 3.842650-5 2.214800+0 4.787640-5 2.234200+0 6.440230-5 2.253680+0 8.407170-5 2.281500+0 1.177570-4 2.307000+0 1.546740-4 2.338200+0 2.079720-4 2.377400+0 2.880160-4 2.410200+0 3.663080-4 2.446800+0 4.659640-4 2.485900+0 5.866750-4 2.532900+0 7.508190-4 2.556430+0 8.407170-4 2.611900+0 1.072010-3 2.660400+0 1.296010-3 2.745300+0 1.734640-3 2.809000+0 2.100750-3 2.904500+0 2.706310-3 3.000000+0 3.378000-3 3.125000+0 4.355610-3 3.234400+0 5.299490-3 3.425800+0 7.135450-3 3.569300+0 8.651290-3 3.784700+0 1.111870-2 4.000000+0 1.377000-2 4.250000+0 1.700950-2 4.625000+0 2.209670-2 5.000000+0 2.738000-2 5.500000+0 3.462400-2 6.000000+0 4.196000-2 6.750000+0 5.287240-2 7.000000+0 5.646000-2 8.000000+0 7.047000-2 9.000000+0 8.384000-2 1.000000+1 9.652000-2 1.100000+1 1.085000-1 1.200000+1 1.197000-1 1.300000+1 1.303000-1 1.400000+1 1.404000-1 1.500000+1 1.499000-1 1.600000+1 1.589000-1 1.800000+1 1.756000-1 2.000000+1 1.906000-1 2.200000+1 2.044000-1 2.400000+1 2.170000-1 2.600000+1 2.286000-1 2.800000+1 2.393000-1 3.000000+1 2.493000-1 4.000000+1 2.902000-1 5.000000+1 3.209000-1 6.000000+1 3.451000-1 8.000000+1 3.811000-1 1.000000+2 4.071000-1 1.500000+2 4.495000-1 2.000000+2 4.757000-1 3.000000+2 5.075000-1 4.000000+2 5.263000-1 5.000000+2 5.391000-1 6.000000+2 5.485000-1 8.000000+2 5.613000-1 1.000000+3 5.697000-1 1.500000+3 5.822000-1 2.000000+3 5.893000-1 3.000000+3 5.969000-1 4.000000+3 6.015000-1 5.000000+3 6.042000-1 6.000000+3 6.061000-1 8.000000+3 6.086000-1 1.000000+4 6.103000-1 1.500000+4 6.124000-1 2.000000+4 6.137000-1 3.000000+4 6.149000-1 4.000000+4 6.157000-1 5.000000+4 6.162000-1 6.000000+4 6.164000-1 8.000000+4 6.167000-1 1.000000+5 6.170000-1 1 84000 7 8 2.090000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 84000 7 9 2.090000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 8.400000+1 1.000000+5 8.400000+1 5.000000+5 8.398000+1 8.750000+5 8.394450+1 1.000000+6 8.393600+1 1.500000+6 8.386500+1 2.000000+6 8.376100+1 2.500000+6 8.362900+1 3.000000+6 8.346900+1 3.500000+6 8.328160+1 4.000000+6 8.306900+1 4.750000+6 8.270090+1 5.000000+6 8.257500+1 5.500000+6 8.229330+1 6.250000+6 8.182480+1 6.500000+6 8.166490+1 7.000000+6 8.132800+1 7.875000+6 8.069040+1 8.625000+6 8.012500+1 9.000000+6 7.983400+1 1.000000+7 7.902500+1 1.109400+7 7.810550+1 1.187500+7 7.743140+1 1.250000+7 7.689000+1 1.375000+7 7.578640+1 1.500000+7 7.470000+1 1.687500+7 7.307590+1 1.750000+7 7.254800+1 1.937500+7 7.096980+1 2.000000+7 7.045600+1 2.250000+7 6.843340+1 2.375000+7 6.744860+1 2.500000+7 6.648800+1 2.875000+7 6.367380+1 3.000000+7 6.276500+1 3.437500+7 5.966030+1 3.812500+7 5.711890+1 4.000000+7 5.589300+1 4.500000+7 5.275910+1 5.000000+7 4.985500+1 5.750000+7 4.593930+1 6.000000+7 4.475000+1 6.750000+7 4.149320+1 7.000000+7 4.050100+1 7.750000+7 3.774240+1 8.000000+7 3.688900+1 8.750000+7 3.446580+1 9.000000+7 3.370100+1 9.750000+7 3.150390+1 1.000000+8 3.080400+1 1.062500+8 2.911310+1 1.156300+8 2.675610+1 1.187500+8 2.601920+1 1.250000+8 2.461500+1 1.500000+8 2.001300+1 1.671900+8 1.779660+1 1.859400+8 1.598860+1 1.875000+8 1.586000+1 2.000000+8 1.492300+1 2.250000+8 1.344530+1 2.500000+8 1.229100+1 2.671900+8 1.159510+1 2.789100+8 1.111490+1 2.875000+8 1.074390+1 2.894500+8 1.065690+1 3.000000+8 1.016800+1 3.125000+8 9.557070+0 3.359400+8 8.518950+0 3.375000+8 8.459760+0 3.453100+8 8.188270+0 3.500000+8 8.045200+0 4.000000+8 6.968300+0 4.125000+8 6.671730+0 4.234400+8 6.398110+0 4.425800+8 5.922170+0 4.712900+8 5.291040+0 4.750000+8 5.219880+0 4.856400+8 5.031660+0 5.000000+8 4.814400+0 5.179700+8 4.601150+0 5.330100+8 4.457860+0 6.000000+8 3.973100+0 6.250000+8 3.795750+0 7.000000+8 3.313600+0 7.625000+8 3.009890+0 7.875000+8 2.885770+0 8.000000+8 2.819600+0 8.250000+8 2.674040+0 8.468800+8 2.539860+0 8.851600+8 2.328350+0 9.569300+8 1.997370+0 9.856400+8 1.884550+0 1.000000+9 1.831700+0 1.031300+9 1.741720+0 1.060500+9 1.672710+0 1.100900+9 1.595430+0 1.137900+9 1.538840+0 1.183200+9 1.483150+0 1.241300+9 1.427080+0 1.250000+9 1.419720+0 1.278200+9 1.397390+0 1.500000+9 1.257900+0 1.589800+9 1.202240+0 1.665000+9 1.154600+0 1.748800+9 1.101420+0 1.838500+9 1.045240+0 1.946200+9 9.799920-1 2.000000+9 9.485900-1 2.139200+9 8.710900-1 2.272600+9 8.023480-1 2.443000+9 7.223270-1 2.602800+9 6.549520-1 2.750000+9 5.989910-1 2.822900+9 5.732270-1 3.024800+9 5.083520-1 3.271700+9 4.402820-1 3.487700+9 3.894820-1 3.759500+9 3.351710-1 3.986900+9 2.966800-1 4.348700+9 2.459710-1 4.674400+9 2.091960-1 5.000000+9 1.790100-1 5.375000+9 1.506670-1 5.703100+9 1.303740-1 6.277300+9 1.025490-1 7.031000+9 7.662440-2 8.000000+9 5.457800-2 1.00000+10 3.004400-2 4.87170+10 4.222230-4 7.43590+10 1.357520-4 1.00000+11 6.150100-5 1.34280+11 2.806720-5 2.20600+11 7.542420-6 4.19930+11 1.389000-6 1.64960+12 3.956510-8 1.28440+13 2.02694-10 1.00000+14 1.06410-12 3.16230+15 1.46948-16 1.00000+17 1.93330-20 1 84000 7 0 2.090000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 6.80000-12 1.000000+2 6.80000-10 1.000000+3 6.800000-8 1.000000+4 6.800000-6 1.000000+5 6.800000-4 5.000000+5 1.700000-2 8.750000+5 5.206250-2 1.000000+6 6.800000-2 1.500000+6 1.517000-1 2.000000+6 2.674000-1 2.500000+6 4.135000-1 3.000000+6 5.879000-1 3.500000+6 7.883940-1 4.000000+6 1.012600+0 4.750000+6 1.387830+0 5.000000+6 1.522000+0 5.500000+6 1.801670+0 6.250000+6 2.245560+0 6.500000+6 2.398830+0 7.000000+6 2.712000+0 7.875000+6 3.275160+0 8.625000+6 3.768240+0 9.000000+6 4.017000+0 1.000000+7 4.682000+0 1.109400+7 5.408560+0 1.187500+7 5.924240+0 1.250000+7 6.335000+0 1.375000+7 7.146660+0 1.500000+7 7.945000+0 1.687500+7 9.113690+0 1.750000+7 9.496000+0 1.937500+7 1.061300+1 2.000000+7 1.097600+1 2.250000+7 1.237410+1 2.375000+7 1.304340+1 2.500000+7 1.369400+1 2.875000+7 1.554260+1 3.000000+7 1.613300+1 3.437500+7 1.813090+1 3.812500+7 1.978930+1 4.000000+7 2.060600+1 4.500000+7 2.275550+1 5.000000+7 2.486300+1 5.750000+7 2.791200+1 6.000000+7 2.889300+1 6.750000+7 3.168820+1 7.000000+7 3.256800+1 7.750000+7 3.503020+1 8.000000+7 3.579500+1 8.750000+7 3.792060+1 9.000000+7 3.858100+1 9.750000+7 4.043150+1 1.000000+8 4.101600+1 1.062500+8 4.240390+1 1.156300+8 4.435400+1 1.187500+8 4.497490+1 1.250000+8 4.617700+1 1.500000+8 5.060200+1 1.671900+8 5.333660+1 1.859400+8 5.605900+1 1.875000+8 5.627370+1 2.000000+8 5.793000+1 2.250000+8 6.089250+1 2.500000+8 6.343500+1 2.671900+8 6.494660+1 2.789100+8 6.587540+1 2.875000+8 6.651930+1 2.894500+8 6.665700+1 3.000000+8 6.738700+1 3.125000+8 6.818600+1 3.359400+8 6.952480+1 3.375000+8 6.960550+1 3.453100+8 7.000520+1 3.500000+8 7.024200+1 4.000000+8 7.238900+1 4.125000+8 7.284020+1 4.234400+8 7.322620+1 4.425800+8 7.385080+1 4.712900+8 7.470060+1 4.750000+8 7.480220+1 4.856400+8 7.508780+1 5.000000+8 7.546500+1 5.179700+8 7.590430+1 5.330100+8 7.625280+1 6.000000+8 7.762800+1 6.250000+8 7.806250+1 7.000000+8 7.919900+1 7.625000+8 7.993800+1 7.875000+8 8.019550+1 8.000000+8 8.031500+1 8.250000+8 8.052940+1 8.468800+8 8.071220+1 8.851600+8 8.099220+1 9.569300+8 8.142430+1 9.856400+8 8.157180+1 1.000000+9 8.164400+1 1.031300+9 8.177690+1 1.060500+9 8.189750+1 1.100900+9 8.205290+1 1.137900+9 8.217540+1 1.183200+9 8.231170+1 1.241300+9 8.246340+1 1.250000+9 8.248550+1 1.278200+9 8.255620+1 1.500000+9 8.297200+1 1.589800+9 8.309730+1 1.665000+9 8.319710+1 1.748800+9 8.330320+1 1.838500+9 8.339120+1 1.946200+9 8.349110+1 2.000000+9 8.353900+1 2.139200+9 8.363250+1 2.272600+9 8.370280+1 2.443000+9 8.377710+1 2.602800+9 8.383390+1 2.750000+9 8.387170+1 2.822900+9 8.388980+1 3.024800+9 8.391970+1 3.271700+9 8.395100+1 3.487700+9 8.396850+1 3.759500+9 8.397850+1 3.986900+9 8.398640+1 4.348700+9 8.399350+1 4.674400+9 8.399430+1 5.000000+9 8.399500+1 5.375000+9 8.399580+1 5.703100+9 8.399640+1 6.277300+9 8.399740+1 7.031000+9 8.399860+1 8.000000+9 8.400000+1 1.00000+10 8.400000+1 4.87170+10 8.400000+1 7.43590+10 8.400000+1 1.00000+11 8.400000+1 1.34280+11 8.400000+1 2.20600+11 8.400000+1 4.19930+11 8.400000+1 1.64960+12 8.400000+1 1.28440+13 8.400000+1 1.00000+14 8.400000+1 3.16230+15 8.400000+1 1.00000+17 8.400000+1 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.761548-6 0.0 2.768345-6 7.953971-7 2.775142-6 1.573872-6 2.781940-6 2.874805-6 2.788737-6 4.847316-6 2.795534-6 7.544808-6 2.802331-6 1.084049-5 2.809128-6 1.437817-5 2.815926-6 1.760402-5 2.822723-6 1.989639-5 2.829520-6 2.075825-5 2.836317-6 1.999221-5 2.843114-6 1.777400-5 2.849912-6 1.458691-5 2.863506-6 7.728256-6 2.870303-6 4.989093-6 2.877100-6 2.973143-6 2.883898-6 1.635550-6 2.890695-6 8.305504-7 2.897492-6 0.0 4.249065-6 0.0 4.267367-6 1.605015+0 4.269982-6 1.831964+0 4.280440-6 3.346231+0 4.290899-6 5.642206+0 4.302665-6 9.260551+0 4.320988-6 1.622823+1 4.333387-6 2.065723+1 4.344152-6 2.325101+1 4.355145-6 2.403512+1 4.365801-6 2.285358+1 4.376446-6 2.002341+1 4.392910-6 1.387776+1 4.405943-6 8.995578+0 4.416401-6 5.807232+0 4.426860-6 3.460695+0 4.437318-6 1.903757+0 4.453006-6 4.839426-1 4.458235-6 0.0 5.165254-6 0.0 5.177967-6 1.187419-6 5.190681-6 2.349575-6 5.203395-6 4.291690-6 5.216108-6 7.236379-6 5.228822-6 1.126336-5 5.241536-6 1.618336-5 5.254249-6 2.146463-5 5.266963-6 2.628039-5 5.279676-6 2.970259-5 5.292390-6 3.098922-5 5.305104-6 2.984564-5 5.317817-6 2.657300-5 5.330531-6 2.254103-5 5.343310-6 1.795103-5 5.356398-6 1.409816-5 5.369485-6 1.181189-5 5.382573-6 1.134379-5 5.395660-6 1.248341-5 5.408748-6 1.456566-5 5.419526-6 1.601014-5 5.434923-6 1.870071-5 5.448010-6 1.951077-5 5.461097-6 1.879077-5 5.474185-6 1.670586-5 5.487272-6 1.371030-5 5.513447-6 7.263823-6 5.526535-6 4.689271-6 5.539622-6 2.794470-6 5.552710-6 1.537261-6 5.565797-6 7.806382-7 5.578885-6 0.0 5.728002-6 0.0 5.737235-6 1.169361-1 5.756200-6 2.380972+0 5.765478-6 3.550430+0 5.779600-6 6.426216+0 5.793721-6 1.074339+1 5.807843-6 1.658913+1 5.850207-6 3.790603+1 5.865625-6 4.272923+1 5.880105-6 4.393355+1 5.896150-6 4.108846+1 5.911613-6 3.518833+1 5.949057-6 1.691314+1 5.964061-6 1.142006+1 5.977300-6 8.026286+0 5.991422-6 5.890055+0 6.019665-6 3.602309+0 6.024363-6 3.742172+0 6.038870-6 3.904272+0 6.053377-6 3.760194+0 6.067884-6 3.342986+0 6.089663-6 2.410535+0 6.111404-6 1.453553+0 6.125911-6 9.383633-1 6.140418-6 5.591974-1 6.154925-6 3.076191-1 6.176685-6 7.819801-2 6.183938-6 0.0 6.395883-6 0.0 6.401329-6 2.536088-2 6.431017-6 1.339794+0 6.432842-6 1.423278+0 6.448598-6 2.586952+0 6.464354-6 4.341982+0 6.481587-6 7.018828+0 6.528363-6 1.587619+1 6.544580-6 1.793273+1 6.561049-6 1.867468+1 6.577196-6 1.796611+1 6.592778-6 1.609511+1 6.637670-6 8.113177+0 6.653426-6 5.675188+0 6.669182-6 3.774839+0 6.684938-6 2.401636+0 6.710753-6 8.528490-1 6.716451-6 6.535693-1 6.735162-6 8.285289-1 6.744297-6 9.463081-1 6.751920-6 1.149150+0 6.760403-6 1.410153+0 6.777340-6 2.258582+0 6.794125-6 3.439198+0 6.843411-6 7.953663+0 6.861010-6 9.045350+0 6.880261-6 9.433439+0 6.895591-6 9.243657+0 6.919257-6 7.981832+0 6.946286-6 6.207380+0 6.964155-6 5.380898+0 6.979453-6 5.041017+0 6.994385-6 5.104268+0 7.012600-6 5.493620+0 7.052196-6 6.955057+0 7.108106-6 9.513693+0 7.157970-6 1.219405+1 7.176663-6 1.269435+1 7.195958-6 1.261237+1 7.208783-6 1.220251+1 7.279002-6 8.165389+0 7.304172-6 7.033461+0 7.329994-6 6.329144+0 7.359049-6 5.867970+0 7.393492-6 5.698137+0 7.448272-6 5.772737+0 7.586214-6 6.068410+0 8.490493-6 5.685830+0 8.532648-6 6.747448+0 8.555993-6 7.788909+0 8.576889-6 9.186426+0 8.599468-6 1.124364+1 8.658024-6 1.746952+1 8.680996-6 1.904690+1 8.702638-6 1.947675+1 8.723749-6 1.883589+1 8.747330-6 1.706767+1 8.808958-6 1.113518+1 8.830524-6 9.574723+0 8.847394-6 8.640245+0 8.868678-6 7.817689+0 8.909376-6 6.594283+0 8.996690-6 5.679307+0 9.076094-6 5.312782+0 9.161395-6 5.285667+0 9.211391-6 5.865381+0 9.227110-6 6.160797+0 9.253942-6 6.960736+0 9.285951-6 8.334556+0 9.345667-6 1.110150+1 9.370391-6 1.176289+1 9.384033-6 1.194337+1 9.412227-6 1.158910+1 9.439861-6 1.061008+1 9.501166-6 7.900443+0 9.524750-6 7.142301+0 9.540599-6 6.781685+0 9.567774-6 6.600260+0 9.610048-6 6.918411+0 9.680887-6 8.504291+0 9.703386-6 8.749870+0 9.741499-6 8.706049+0 9.834475-6 8.095171+0 9.879522-6 8.150923+0 9.927448-6 9.519156+0 9.956274-6 1.099427+1 9.981491-6 1.293308+1 1.001815-5 1.678034+1 1.007656-5 2.341462+1 1.010434-5 2.519256+1 1.012707-5 2.550823+1 1.015423-5 2.428946+1 1.018250-5 2.165758+1 1.024550-5 1.433927+1 1.026861-5 1.218468+1 1.029175-5 1.055877+1 1.031930-5 9.336384+0 1.036551-5 7.995160+0 1.263978-5 6.443836+0 1.270103-5 9.585671+0 1.273408-5 1.249127+1 1.276519-5 1.661969+1 1.279824-5 2.264471+1 1.288963-5 4.272028+1 1.292464-5 4.744917+1 1.295428-5 4.864669+1 1.298386-5 4.685287+1 1.301771-5 4.150764+1 1.310544-5 2.195628+1 1.313655-5 1.629950+1 1.316766-5 1.213039+1 1.319877-5 9.356697+0 1.326099-5 5.947748+0 1.545060-5 4.560344+0 1.746987-5 3.588162+0 1.796708-5 3.425875+0 1.804443-5 3.559757+0 1.813282-5 3.903520+0 1.823473-5 4.655627+0 1.830961-5 5.250745+0 1.835933-5 5.489788+0 1.840352-5 5.538464+0 1.845739-5 5.351889+0 1.853384-5 4.762272+0 1.865213-5 3.771418+0 1.870738-5 3.453479+0 1.875157-5 3.291143+0 1.883997-5 3.081795+0 1.903661-5 3.111867+0 1.918985-5 3.358333+0 1.932134-5 3.591495+0 1.941507-5 3.578810+0 1.962010-5 3.275066+0 2.043458-5 3.054730+0 2.084541-5 2.889477+0 2.296130-5 2.337567+0 2.536478-5 1.881905+0 2.817170-5 1.504414+0 3.025657-5 1.295631+0 3.040552-5 2.553589+0 3.047999-5 3.597760+0 3.055912-5 5.319990+0 3.063825-5 7.688143+0 3.085235-5 1.546253+1 3.093472-5 1.738076+1 3.101288-5 1.790084+1 3.108783-5 1.710158+1 3.119465-5 1.443778+1 3.130130-5 1.119670+1 3.137832-5 9.340623+0 3.145497-5 8.421921+0 3.152945-5 8.518960+0 3.161237-5 9.631285+0 3.182636-5 1.345127+1 3.190299-5 1.391379+1 3.198860-5 1.322033+1 3.206109-5 1.184785+1 3.228134-5 5.892781+0 3.235796-5 4.200661+0 3.243459-5 2.953835+0 3.251122-5 2.124940+0 3.266447-5 1.107513+0 3.389346-5 1.028212+0 3.406030-5 1.142210+0 3.414373-5 1.240048+0 3.422715-5 1.390949+0 3.433143-5 1.662795+0 3.456085-5 2.378706+0 3.464428-5 2.554855+0 3.472770-5 2.618085+0 3.483361-5 2.504484+0 3.492471-5 2.277693+0 3.514482-5 1.566599+0 3.522825-5 1.345902+0 3.531167-5 1.182292+0 3.539510-5 1.072229+0 3.557370-5 9.335958-1 3.574882-5 1.115141+0 3.583638-5 1.268186+0 3.592394-5 1.502498+0 3.603143-5 1.916947+0 3.627418-5 3.028695+0 3.637268-5 3.314278+0 3.646025-5 3.390813+0 3.655005-5 3.273953+0 3.666616-5 2.902386+0 3.688710-5 2.023582+0 3.698096-5 1.807007+0 3.706222-5 1.717795+0 3.719002-5 1.755873+0 3.739249-5 1.945855+0 3.753706-5 2.084553+0 3.765829-5 2.115809+0 3.840053-5 1.990811+0 3.885484-5 2.119632+0 3.905872-5 2.194460+0 3.935052-5 2.457430+0 3.953941-5 2.793855+0 3.990277-5 3.686813+0 4.002083-5 3.846522+0 4.014276-5 3.844810+0 4.033555-5 3.614642+0 4.051429-5 3.364517+0 4.070365-5 3.281635+0 4.099908-5 3.516351+0 4.140825-5 3.937077+0 4.198124-5 4.409355+0 4.278402-5 5.370456+0 4.350760-5 6.537103+0 4.414648-5 7.845012+0 4.493287-5 9.893613+0 4.592466-5 1.325968+1 4.693998-5 1.763976+1 4.857804-5 2.622187+1 5.081220-5 3.813971+1 5.242500-5 4.442826+1 5.412099-5 4.776137+1 5.590625-5 4.766884+1 5.879895-5 4.311927+1 6.370248-5 3.394113+1 6.861988-5 2.700601+1 7.316109-5 2.210618+1 7.843174-5 1.761133+1 8.348760-5 1.422817+1 8.912509-5 1.131305+1 9.421823-5 9.279682+0 9.958724-5 7.620158+0 1.019438-4 7.013446+0 1.029475-4 7.082410+0 1.042297-4 7.824778+0 1.047607-4 7.801579+0 1.057475-4 7.301557+0 1.216705-4 4.919848+0 1.296254-4 4.006971+0 1.313082-4 3.997738+0 1.333707-4 4.186343+0 1.374000-4 4.221361+0 1.548817-4 3.064694+0 1.640250-4 2.638691+0 1.673001-4 2.515658+0 1.689473-4 2.557094+0 1.710062-4 2.795938+0 1.718385-4 2.771339+0 1.743848-4 2.347070+0 1.755919-4 2.260706+0 1.777737-4 2.238350+0 1.810979-4 2.261608+0 1.850597-4 2.208804+0 1.880237-4 2.339213+0 1.961000-4 2.856235+0 2.005000-4 2.935004+0 2.128981-4 2.820633+0 2.206734-4 2.895418+0 2.281034-4 3.118976+0 2.354682-4 3.500269+0 2.430000-4 4.073372+0 2.512336-4 4.942417+0 2.592687-4 6.051483+0 2.731174-4 8.455398+0 3.294632-4 2.003114+1 3.525550-4 2.381385+1 3.884966-4 2.802182+1 4.245197-4 3.047579+1 4.558029-4 3.170354+1 4.882898-4 3.415825+1 5.378076-4 3.531598+1 6.614206-4 3.373953+1 6.960832-4 3.323241+1 7.160907-4 3.441446+1 9.607297-4 2.902481+1 1.264729-3 2.294793+1 1.508296-3 1.918697+1 1.799842-3 1.581590+1 2.104384-3 1.320452+1 2.520940-3 1.061304+1 2.627489-3 1.016930+1 2.643486-3 1.057174+1 2.653985-3 1.143271+1 2.661677-3 1.255416+1 2.671928-3 1.477054+1 2.697642-3 2.184656+1 2.709726-3 2.414957+1 2.725468-3 2.545772+1 2.771013-3 2.596146+1 2.789747-3 2.782673+1 2.822514-3 3.287716+1 2.844138-3 3.426951+1 3.234109-3 2.853156+1 3.270837-3 2.946423+1 3.313454-3 3.117446+1 3.379919-3 3.085843+1 3.784740-3 2.622644+1 3.910000-3 2.647421+1 4.102564-3 2.510733+1 4.201231-3 2.496104+1 4.919596-3 1.997105+1 5.591135-3 1.658591+1 6.321028-3 1.380748+1 7.314088-3 1.108527+1 8.201744-3 9.295043+0 9.312419-3 7.633159+0 1.059254-2 6.235013+0 1.203996-2 5.087271+0 1.348491-2 4.254932+0 1.359078-2 4.341206+0 1.365177-2 4.622918+0 1.370565-2 5.148693+0 1.375836-2 5.949664+0 1.389890-2 8.535852+0 1.396657-2 9.316307+0 1.404883-2 9.694813+0 1.438307-2 9.484792+0 1.600840-2 7.963161+0 1.614788-2 8.213026+0 1.630368-2 9.236844+0 1.642449-2 1.003987+1 1.657970-2 1.038536+1 1.682505-2 1.062592+1 1.711662-2 1.134909+1 2.050780-2 8.667412+0 2.331121-2 7.073802+0 2.630368-2 5.821891+0 2.926724-2 4.885906+0 3.296898-2 4.016639+0 3.672786-2 3.353158+0 4.151638-2 2.729088+0 4.694934-2 2.214154+0 5.315850-2 1.791333+0 5.965200-2 1.468892+0 6.744772-2 1.187678+0 7.609922-2 9.630782-1 8.676569-2 7.660521-1 9.120108-2 7.070443-1 9.171685-2 7.300959-1 9.204265-2 7.854275-1 9.230718-2 8.758113-1 9.254182-2 1.003315+0 9.278164-2 1.186191+0 9.312043-2 1.527976+0 9.388108-2 2.395941+0 9.426603-2 2.711329+0 9.473215-2 2.917383+0 9.533801-2 2.991445+0 1.136817-1 2.287175+0 1.292718-1 1.862989+0 1.456948-1 1.533696+0 1.650012-1 1.251655+0 1.865855-1 1.024390+0 2.093800-1 8.491225-1 2.347961-1 7.050741-1 2.646157-1 5.821211-1 3.002904-1 4.767812-1 3.382625-1 3.968875-1 3.845918-1 3.274956-1 4.374844-1 2.718209-1 4.984225-1 2.267820-1 5.684437-1 1.904786-1 6.491480-1 1.611147-1 7.449194-1 1.366246-1 8.578245-1 1.166138-1 1.011011+0 9.834241-2 1.173413+0 8.326005-2 1.347258+0 7.120851-2 1.546860+0 6.090138-2 1.776032+0 5.208616-2 2.039158+0 4.454691-2 2.341267+0 3.809893-2 2.690748+0 3.255013-2 3.086391+0 2.786783-2 3.581385+0 2.356060-2 4.260405+0 1.934901-2 4.891600+0 1.654832-2 5.616308+0 1.415302-2 6.448384+0 1.210443-2 7.403736+0 1.035236-2 8.500626+0 8.853903-3 9.760024+0 7.572338-3 1.000000+1 1.573200-2 1 84000 7 0 2.090000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-8.396932+1 3.063399-6-8.348965+1 4.077700-6-8.107319+1 4.225526-6-7.749066+1 4.304952-6-6.882478+1 4.324889-6-7.126215+1 4.345339-6-7.921811+1 4.356969-6-8.446563+1 4.380803-6-7.446836+1 4.400060-6-7.151584+1 4.426860-6-7.366829+1 4.484702-6-8.036512+1 4.652400-6-8.428268+1 5.001306-6-8.356999+1 5.539622-6-7.933297+1 5.682969-6-7.458469+1 5.732619-6-6.966858+1 5.798575-6-5.774564+1 5.818620-6-5.713338+1 5.837212-6-6.070758+1 5.851090-6-6.662681+1 5.876083-6-8.185797+1 5.880530-6-8.529786+1 5.913355-6-6.806943+1 5.933426-6-6.342101+1 5.949057-6-6.321963+1 5.978183-6-6.763488+1 6.034790-6-7.571844+1 6.304755-6-8.633820+1 6.411112-6-8.129641+1 6.489647-6-7.621319+1 6.527378-6-7.931481+1 6.562426-6-8.647295+1 6.605210-6-7.835160+1 6.637670-6-7.691451+1 6.715382-6-8.304025+1 6.763886-6-8.695938+1 6.826482-6-8.477050+1 6.876914-6-8.713244+1 6.937374-6-8.419762+1 7.052196-6-8.807318+1 7.145294-6-8.749493+1 7.243946-6-8.092499+1 7.379131-6-8.263282+1 7.931697-6-8.450988+1 8.396828-6-8.549195+1 8.553544-6-8.026652+1 8.624295-6-7.910025+1 8.678583-6-8.368386+1 8.696513-6-8.509912+1 8.763273-6-7.759377+1 8.825772-6-7.696704+1 9.190703-6-8.487802+1 9.317127-6-8.297487+1 9.381047-6-8.448204+1 9.471519-6-8.119510+1 9.650024-6-8.481397+1 9.848719-6-8.425248+1 1.000669-5-7.957342+1 1.006757-5-8.330527+1 1.009114-5-8.592858+1 1.017830-5-7.326935+1 1.023820-5-7.045189+1 1.043924-5-7.680947+1 1.104978-5-7.946882+1 1.217496-5-8.137935+1 1.251444-5-7.656770+1 1.263374-5-7.143566+1 1.277522-5-6.026647+1 1.281781-5-5.957505+1 1.285657-5-6.251417+1 1.288963-5-6.840678+1 1.293895-5-8.083451+1 1.299049-5-6.534906+1 1.302887-5-5.677805+1 1.306668-5-5.209497+1 1.310544-5-5.121949+1 1.316426-5-5.453608+1 1.329979-5-6.488008+1 1.346458-5-6.937623+1 1.396284-5-7.319585+1 1.611304-5-7.581951+1 1.830961-5-7.761215+1 1.865213-5-7.554259+1 1.946685-5-7.676510+1 2.837473-5-8.173261+1 2.970669-5-8.306968+1 3.027186-5-7.967099+1 3.068508-5-7.510238+1 3.085701-5-7.822622+1 3.101485-5-8.399956+1 3.120968-5-7.791006+1 3.137832-5-7.802087+1 3.166678-5-8.161625+1 3.188249-5-7.798685+1 3.212808-5-7.186918+1 3.235796-5-7.208000+1 3.294931-5-7.795877+1 3.462342-5-8.244778+1 3.539510-5-8.273588+1 3.631796-5-8.489555+1 3.697110-5-8.418387+1 4.011837-5-8.930660+1 4.745601-5-1.042250+2 4.970000-5-1.026391+2 5.242500-5-9.226198+1 5.677500-5-7.070668+1 5.922435-5-6.292977+1 6.207206-5-5.773974+1 6.734732-5-5.331916+1 7.502237-5-5.132718+1 9.070269-5-5.263407+1 1.029475-4-5.598346+1 1.186718-4-5.670451+1 1.395000-4-5.922870+1 2.281034-4-6.784327+1 2.823860-4-7.473125+1 3.240000-4-7.470411+1 4.610022-4-6.103973+1 4.980667-4-5.796303+1 5.585680-4-5.115018+1 6.409052-4-4.496427+1 6.910280-4-4.286073+1 7.102352-4-4.246800+1 7.396208-4-3.971515+1 8.206618-4-3.572636+1 9.473548-4-3.151839+1 1.082271-3-2.820058+1 1.264729-3-2.557685+1 1.508296-3-2.399076+1 1.799842-3-2.376651+1 2.104384-3-2.510000+1 2.333807-3-2.761492+1 2.488209-3-3.094713+1 2.567164-3-3.405169+1 2.618512-3-3.772656+1 2.650902-3-4.248535+1 2.676567-3-4.668811+1 2.693099-3-4.677028+1 2.739835-3-4.076267+1 2.763953-3-4.035035+1 2.797427-3-4.125333+1 2.822514-3-3.898603+1 2.864088-3-3.306565+1 2.902901-3-2.987996+1 2.971029-3-2.664153+1 3.071519-3-2.367438+1 3.173862-3-2.211890+1 3.234109-3-2.232433+1 3.280381-3-2.285970+1 3.313454-3-2.158582+1 3.359674-3-1.943459+1 3.438646-3-1.735033+1 3.574022-3-1.520187+1 3.724166-3-1.382973+1 3.843151-3-1.370088+1 3.968358-3-1.189895+1 4.072052-3-1.127956+1 4.141154-3-1.099483+1 4.265795-3-9.517268+0 4.466836-3-8.138721+0 4.731512-3-6.925304+0 5.038087-3-5.954166+0 5.448162-3-5.110864+0 5.754399-3-4.681680+0 6.115138-3-4.352664+0 6.785955-3-4.060487+0 7.550389-3-3.991388+0 8.545809-3-4.184127+0 9.725896-3-4.640631+0 1.102808-2-5.408785+0 1.203996-2-6.306041+0 1.274191-2-7.283222+0 1.316361-2-8.246376+0 1.342788-2-9.285492+0 1.356452-2-1.027173+1 1.375836-2-1.239707+1 1.383562-2-1.257342+1 1.393357-2-1.175912+1 1.408920-2-9.969218+0 1.423663-2-8.973801+0 1.448022-2-8.078333+0 1.482811-2-7.398563+0 1.527786-2-7.032255+0 1.568164-2-7.104701+0 1.594733-2-7.527533+0 1.622866-2-8.691320+0 1.633641-2-8.732111+0 1.662941-2-7.554215+0 1.693050-2-7.157002+0 1.727771-2-5.755896+0 1.754300-2-5.047643+0 1.802271-2-4.202692+0 1.862143-2-3.478684+0 1.937405-2-2.821251+0 2.000000-2-2.418313+0 2.075932-2-2.039853+0 2.165444-2-1.700759+0 2.268884-2-1.410450+0 2.378463-2-1.187679+0 2.456034-2-1.067031+0 2.571314-2-9.349279-1 2.693297-2-8.361178-1 2.852557-2-7.567820-1 3.015363-2-7.177110-1 3.216549-2-7.011892-1 3.526875-2-7.226306-1 4.151638-2-8.542637-1 6.744772-2-1.586344+0 7.609922-2-1.890688+0 8.262423-2-2.216061+0 8.676569-2-2.546477+0 8.930408-2-2.885442+0 9.085399-2-3.244578+0 9.171685-2-3.607903+0 9.302750-2-4.442118+0 9.354459-2-4.503302+0 9.411487-2-4.229063+0 9.507400-2-3.528950+0 9.600000-2-3.080106+0 9.738153-2-2.690656+0 9.939090-2-2.334024+0 1.020785-1-2.024680+0 1.056292-1-1.744109+0 1.102402-1-1.498359+0 1.159265-1-1.297636+0 1.228058-1-1.138013+0 1.332949-1-9.840334-1 1.456948-1-8.840772-1 1.582078-1-8.323113-1 1.783572-1-7.980144-1 2.170221-1-7.998222-1 3.999625-1-9.255714-1 6.183723-1-9.928268-1 1.120601+0-1.032172+0 3.384160+0-1.050497+0 1.000000+1-1.052751+0 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 5.544906-4 1.071321-6 7.375937-4 1.152000-6 1.003414-3 1.174929-6 1.083971-3 1.211646-6 1.227229-3 1.249510-6 1.396568-3 1.288557-6 1.592716-3 1.328824-6 1.811251-3 1.370350-6 2.068892-3 1.441626-6 2.596597-3 1.502877-6 3.093450-3 1.549842-6 3.539438-3 1.621829-6 4.351494-3 1.699727-6 5.365797-3 1.751212-6 6.164717-3 1.824558-6 7.502936-3 1.897721-6 8.971372-3 1.938593-6 9.927270-3 1.988316-6 1.116368-2 2.073248-6 1.360738-2 2.152872-6 1.620409-2 2.297502-6 2.209548-2 2.363110-6 2.532284-2 2.424617-6 2.875965-2 2.590400-6 4.035611-2 2.685004-6 4.869728-2 2.767782-6 5.740669-2 2.903591-6 7.485996-2 3.014501-6 9.279863-2 3.097684-6 1.089390-1 3.253652-6 1.472083-1 3.396665-6 1.933229-1 3.470814-6 2.231347-1 3.617855-6 2.983483-1 3.717087-6 3.627577-1 3.810116-6 4.372699-1 3.897332-6 5.225353-1 3.979096-6 6.194451-1 4.055750-6 7.290669-1 4.127613-6 8.516269-1 4.194985-6 9.883688-1 4.258146-6 1.141240+0 4.317360-6 1.311314+0 4.372872-6 1.499996+0 4.424915-6 1.708819+0 4.473706-6 1.939508+0 4.519447-6 2.193640+0 4.562329-6 2.472735+0 4.602531-6 2.778596+0 4.640220-6 3.113138+0 4.675554-6 3.478483+0 4.708680-6 3.876875+0 4.739735-6 4.310494+0 4.768849-6 4.781620+0 4.796144-6 5.292690+0 4.821732-6 5.846137+0 4.845722-6 6.444422+0 4.868212-6 7.090229+0 4.889296-6 7.786513+0 4.909063-6 8.536405+0 4.927594-6 9.343126+0 4.944967-6 1.020997+1 4.961254-6 1.114036+1 4.976523-6 1.213784+1 4.990838-6 1.320607+1 5.004258-6 1.434884+1 5.016840-6 1.557014+1 5.028635-6 1.687436+1 5.039693-6 1.826648+1 5.055027-6 2.053758+1 5.068890-6 2.303551+1 5.085974-6 2.693381+1 5.100922-6 3.143101+1 5.114002-6 3.660083+1 5.125447-6 4.247065+1 5.135462-6 4.900325+1 5.144224-6 5.609785+1 5.151891-6 6.360665+1 5.158600-6 7.135798+1 5.164470-6 7.917847+1 5.174101-6 9.441818+1 5.193948-6 1.371766+2 5.207864-6 1.778568+2 5.218375-6 2.149084+2 5.224781-6 2.401213+2 5.231187-6 2.671971+2 5.244000-6 3.261149+2 5.245602-6 3.338391+2 5.256813-6 3.892503+2 5.261217-6 4.113084+2 5.269626-6 4.529952+2 5.276132-6 4.841620+2 5.282439-6 5.127779+2 5.288945-6 5.400047+2 5.295252-6 5.635517+2 5.300857-6 5.816717+2 5.307389-6 5.989540+2 5.314871-6 6.131028+2 5.321278-6 6.200311+2 5.323508-6 6.212745+2 5.329872-6 6.214417+2 5.334616-6 6.183026+2 5.347097-6 5.971206+2 5.351094-6 5.866118+2 5.360116-6 5.569964+2 5.365231-6 5.370110+2 5.369542-6 5.186425+2 5.373730-6 4.996547+2 5.378635-6 4.762305+2 5.384941-6 4.446837+2 5.390547-6 4.157528+2 5.396403-6 3.851087+2 5.404161-6 3.445954+2 5.410567-6 3.118113+2 5.417774-6 2.762486+2 5.423380-6 2.498737+2 5.436193-6 1.948259+2 5.440597-6 1.777779+2 5.444801-6 1.624485+2 5.449005-6 1.480508+2 5.452209-6 1.377065+2 5.459416-6 1.163843+2 5.465273-6 1.009920+2 5.473505-6 8.213434+1 5.481641-6 6.643931+1 5.487022-6 5.751831+1 5.492362-6 4.971058+1 5.497659-6 4.290157+1 5.502916-6 3.698253+1 5.513305-6 2.741526+1 5.523534-6 2.029008+1 5.533603-6 1.501753+1 5.548413-6 9.589715+0 5.558095-6 7.132689+0 5.567663-6 5.313833+0 5.577082-6 3.970028+0 5.604465-6 1.690149+0 5.613308-6 1.288125+0 5.622014-6 9.962147-1 5.630584-6 7.892113-1 5.639020-6 6.482664-1 5.647323-6 5.589791-1 5.655498-6 5.100690-1 5.663544-6 4.924641-1 5.671465-6 4.986798-1 5.679262-6 5.224066-1 5.686937-6 5.582440-1 5.701929-6 6.482941-1 5.709250-6 6.951224-1 5.716457-6 7.392245-1 5.730507-6 8.108026-1 5.746584-6 8.559527-1 5.766878-6 8.445938-1 5.785503-6 7.724974-1 5.797533-6 7.033818-1 5.809187-6 6.267380-1 5.820477-6 5.489012-1 5.833360-6 4.616289-1 5.852606-6 3.447928-1 5.921980-6 1.574911-1 6.064257-6 7.552448-1 6.170472-6 2.069640+0 6.185660-6 2.339476+0 6.200847-6 2.636154+0 6.216035-6 2.962217+0 6.231223-6 3.320118+0 6.261599-6 4.141461+0 6.291974-6 5.122889+0 6.323407-6 6.338810+0 6.354536-6 7.786946+0 6.428665-6 1.260075+1 6.463486-6 1.582512+1 6.494614-6 1.948292+1 6.510179-6 2.166683+1 6.525743-6 2.414307+1 6.541307-6 2.696629+1 6.556871-6 3.020567+1 6.572436-6 3.395061+1 6.588000-6 3.831939+1 6.603564-6 4.347292+1 6.619128-6 4.963616+1 6.634693-6 5.713065+1 6.653327-6 6.851952+1 6.669632-6 8.153452+1 6.683899-6 9.620805+1 6.696382-6 1.124312+2 6.707305-6 1.299573+2 6.716863-6 1.484370+2 6.725226-6 1.674691+2 6.732543-6 1.866485+2 6.744549-6 2.240194+2 6.783766-6 4.122449+2 6.796248-6 4.979940+2 6.803437-6 5.536357+2 6.817161-6 6.725037+2 6.828303-6 7.805631+2 6.845027-6 9.591117+2 6.847118-6 9.825197+2 6.861752-6 1.150406+3 6.867501-6 1.217209+3 6.878477-6 1.343387+3 6.883183-6 1.396137+3 6.891190-6 1.482689+3 6.897320-6 1.545341+3 6.902326-6 1.593590+3 6.908897-6 1.652209+3 6.915233-6 1.702916+3 6.917345-6 1.718418+3 6.925694-6 1.772191+3 6.934043-6 1.812965+3 6.942673-6 1.840293+3 6.950390-6 1.851313+3 6.958226-6 1.849249+3 6.966147-6 1.833630+3 6.971738-6 1.814604+3 6.979699-6 1.776587+3 6.987113-6 1.730371+3 6.989850-6 1.710868+3 6.998803-6 1.638712+3 7.007022-6 1.562613+3 7.011709-6 1.515687+3 7.019681-6 1.431128+3 7.028277-6 1.334964+3 7.035910-6 1.246891+3 7.043883-6 1.153769+3 7.047814-6 1.107893+3 7.055131-6 1.023254+3 7.064539-6 9.171772+2 7.077343-6 7.805233+2 7.081263-6 7.409177+2 7.095897-6 6.037887+2 7.101646-6 5.548512+2 7.112622-6 4.694246+2 7.123075-6 3.977511+2 7.134514-6 3.296950+2 7.145174-6 2.753498+2 7.151571-6 2.466095+2 7.168628-6 1.825140+2 7.185684-6 1.338338+2 7.202741-6 9.725780+1 7.219798-6 6.998505+1 7.224063-6 6.434730+1 7.236855-6 4.978845+1 7.247516-6 3.998357+1 7.253912-6 3.496570+1 7.266705-6 2.659383+1 7.279637-6 2.004025+1 7.301051-6 1.249823+1 7.310849-6 1.013718+1 7.320035-6 8.423036+0 7.328647-6 7.195451+0 7.344794-6 5.733826+0 7.358923-6 5.232225+0 7.376695-6 5.571406+0 7.387279-6 6.336499+0 7.398636-6 7.724840+0 7.405804-6 8.964055+0 7.412103-6 1.032707+1 7.417818-6 1.181603+1 7.427195-6 1.485800+1 7.449168-6 2.565529+1 7.457825-6 3.165479+1 7.466158-6 3.853545+1 7.471894-6 4.395522+1 7.477369-6 4.967981+1 7.492031-6 6.781692+1 7.500069-6 7.956329+1 7.503514-6 8.499328+1 7.515571-6 1.058361+2 7.520738-6 1.156111+2 7.537963-6 1.514042+2 7.545032-6 1.672662+2 7.556336-6 1.935415+2 7.562228-6 2.074738+2 7.568532-6 2.223866+2 7.573681-6 2.344629+2 7.580439-6 2.500124+2 7.584783-6 2.597394+2 7.589127-6 2.691888+2 7.594709-6 2.808317+2 7.602035-6 2.950769+2 7.608805-6 3.069898+2 7.612603-6 3.130715+2 7.621215-6 3.250722+2 7.628919-6 3.334919+2 7.633828-6 3.376261+2 7.642810-6 3.425747+2 7.649079-6 3.439614+2 7.667425-6 3.381826+2 7.671472-6 3.349901+2 7.685879-6 3.184888+2 7.692562-6 3.083819+2 7.697778-6 2.995625+2 7.705232-6 2.857300+2 7.710024-6 2.761878+2 7.717972-6 2.594747+2 7.725566-6 2.427541+2 7.731909-6 2.284521+2 7.740064-6 2.099115+2 7.749251-6 1.892280+2 7.758437-6 1.692011+2 7.769081-6 1.473470+2 7.778507-6 1.296026+2 7.795709-6 1.020127+2 7.815646-6 7.880232+1 7.817429-6 7.720171+1 7.823671-6 7.220814+1 7.828352-6 6.907483+1 7.833538-6 6.620041+1 7.837633-6 6.436023+1 7.841453-6 6.297457+1 7.845743-6 6.178549+1 7.852908-6 6.061981+1 7.857123-6 6.038413+1 7.859931-6 6.040029+1 7.862561-6 6.053490+1 7.873075-6 6.212435+1 7.879512-6 6.382313+1 7.887444-6 6.653148+1 7.897812-6 7.085095+1 7.919441-6 8.129146+1 7.930344-6 8.655532+1 7.940749-6 9.117917+1 7.950362-6 9.490437+1 7.961428-6 9.836145+1 7.970684-6 1.004765+2 7.990004-6 1.024830+2 7.998777-6 1.023582+2 8.009007-6 1.014911+2 8.019184-6 9.997655+1 8.028998-6 9.803691+1 8.044715-6 9.430895+1 8.074609-6 8.688328+1 8.090182-6 8.363486+1 8.098656-6 8.216902+1 8.116810-6 7.981562+1 8.129431-6 7.878913+1 8.146452-6 7.807286+1 8.163171-6 7.792134+1 8.200728-6 7.847395+1 8.234713-6 7.888607+1 8.264224-6 7.873191+1 8.291994-6 7.811502+1 8.324181-6 7.685600+1 8.354603-6 7.511630+1 8.383947-6 7.291983+1 8.419534-6 6.972721+1 8.455458-6 6.652769+1 8.475413-6 6.520183+1 8.486615-6 6.473941+1 8.498762-6 6.455385+1 8.512250-6 6.482888+1 8.521789-6 6.538832+1 8.530486-6 6.619993+1 8.535557-6 6.681769+1 8.545207-6 6.830984+1 8.556577-6 7.063827+1 8.568295-6 7.372688+1 8.582610-6 7.849437+1 8.593230-6 8.274675+1 8.601565-6 8.650303+1 8.618580-6 9.524305+1 8.645594-6 1.115138+2 8.664501-6 1.238947+2 8.675927-6 1.314099+2 8.687162-6 1.385997+2 8.699211-6 1.458738+2 8.711631-6 1.526582+2 8.723668-6 1.583203+2 8.732963-6 1.619535+2 8.744326-6 1.654012+2 8.755909-6 1.676912+2 8.764626-6 1.685566+2 8.781083-6 1.681420+2 8.791598-6 1.664997+2 8.805413-6 1.628117+2 8.812650-6 1.602432+2 8.819557-6 1.574236+2 8.831728-6 1.516869+2 8.839622-6 1.475215+2 8.847516-6 1.430754+2 8.858042-6 1.368140+2 8.868568-6 1.303006+2 8.884357-6 1.203507+2 8.910671-6 1.042610+2 8.936986-6 8.997371+1 8.963300-6 7.825633+1 8.978075-6 7.288694+1 8.986507-6 7.020112+1 8.994807-6 6.781275+1 9.011147-6 6.379859+1 9.026977-6 6.068542+1 9.042312-6 5.828612+1 9.057168-6 5.644009+1 9.085952-6 5.387639+1 9.095533-6 5.324529+1 9.112936-6 5.230244+1 9.138668-6 5.125564+1 9.161951-6 5.054004+1 9.206420-6 4.950817+1 9.279377-6 4.824812+1 9.440609-6 4.609746+1 9.634837-6 4.392394+1 9.742049-6 4.301230+1 9.823793-6 4.259437+1 9.923547-6 4.233753+1 9.953766-6 4.244021+1 9.970768-6 4.265656+1 9.981886-6 4.290573+1 9.991417-6 4.321322+1 1.000686-5 4.395707+1 1.001988-5 4.489556+1 1.002769-5 4.563249+1 1.003364-5 4.629721+1 1.004256-5 4.748537+1 1.005149-5 4.893510+1 1.005744-5 5.006599+1 1.006637-5 5.203939+1 1.007529-5 5.438367+1 1.008571-5 5.764740+1 1.009240-5 6.007848+1 1.010309-5 6.455622+1 1.011007-5 6.791323+1 1.012219-5 7.461356+1 1.013434-5 8.253813+1 1.014558-5 9.102662+1 1.017744-5 1.215929+2 1.020585-5 1.570203+2 1.021118-5 1.644639+2 1.023234-5 1.960686+2 1.024038-5 2.087694+2 1.025798-5 2.374040+2 1.026591-5 2.504853+2 1.027726-5 2.690931+2 1.028820-5 2.866767+2 1.030091-5 3.062768+2 1.031352-5 3.244027+2 1.032335-5 3.373442+2 1.033209-5 3.477913+2 1.034670-5 3.627165+2 1.035811-5 3.718751+2 1.037011-5 3.789262+2 1.038225-5 3.832109+2 1.039284-5 3.845557+2 1.040456-5 3.834402+2 1.041293-5 3.809972+2 1.043141-5 3.710101+2 1.044134-5 3.632238+2 1.045416-5 3.509563+2 1.046659-5 3.370018+2 1.047561-5 3.258058+2 1.048298-5 3.161083+2 1.049265-5 3.027649+2 1.050508-5 2.848447+2 1.051755-5 2.663456+2 1.053002-5 2.476593+2 1.054582-5 2.241920+2 1.055530-5 2.104333+2 1.058059-5 1.757210+2 1.061637-5 1.334964+2 1.064826-5 1.038569+2 1.066280-5 9.290266+1 1.068177-5 8.095928+1 1.070707-5 6.902367+1 1.073237-5 6.150460+1 1.075766-5 5.840210+1 1.076398-5 5.833707+1 1.076873-5 5.848098+1 1.077584-5 5.901286+1 1.078118-5 5.966589+1 1.078848-5 6.092152+1 1.079573-5 6.259316+1 1.080394-5 6.501559+1 1.081202-5 6.796263+1 1.082454-5 7.368219+1 1.083508-5 7.962308+1 1.083900-5 8.210606+1 1.085990-5 9.786758+1 1.088650-5 1.242170+2 1.091143-5 1.550291+2 1.092694-5 1.768291+2 1.094376-5 2.022641+2 1.095329-5 2.173019+2 1.096390-5 2.343633+2 1.097754-5 2.564977+2 1.099082-5 2.778442+2 1.100196-5 2.952869+2 1.101504-5 3.148093+2 1.102458-5 3.281753+2 1.103788-5 3.452355+2 1.105079-5 3.596845+2 1.106316-5 3.712794+2 1.107581-5 3.806183+2 1.108565-5 3.860030+2 1.109503-5 3.895484+2 1.110685-5 3.917754+2 1.110988-5 3.919435+2 1.113207-5 3.882962+2 1.114119-5 3.844178+2 1.115133-5 3.786064+2 1.116729-5 3.666087+2 1.118167-5 3.532470+2 1.119444-5 3.397865+2 1.121086-5 3.209056+2 1.122920-5 2.986333+2 1.125468-5 2.675369+2 1.130371-5 2.145966+2 1.132453-5 1.967503+2 1.134158-5 1.844774+2 1.135514-5 1.761815+2 1.136653-5 1.701711+2 1.138359-5 1.626563+2 1.139636-5 1.580777+2 1.140199-5 1.563111+2 1.142150-5 1.512239+2 1.143395-5 1.486910+2 1.146240-5 1.444293+2 1.148739-5 1.418805+2 1.153274-5 1.387373+2 1.155593-5 1.375190+2 1.160177-5 1.355806+2 1.163923-5 1.344188+2 1.168681-5 1.334673+2 1.184970-5 1.319886+2 1.190294-5 1.308421+2 1.196016-5 1.287012+2 1.201468-5 1.257819+2 1.213127-5 1.183160+2 1.218842-5 1.151240+2 1.224854-5 1.125264+2 1.230856-5 1.106532+2 1.245146-5 1.078397+2 1.280735-5 1.028139+2 1.296314-5 1.004139+2 1.316888-5 9.671929+1 1.330493-5 9.384041+1 1.341485-5 9.114534+1 1.350802-5 8.852040+1 1.358991-5 8.589275+1 1.366188-5 8.328408+1 1.372810-5 8.060610+1 1.382960-5 7.616604+1 1.387255-5 7.447899+1 1.391030-5 7.344925+1 1.394348-5 7.323635+1 1.397219-5 7.391026+1 1.399749-5 7.546813+1 1.401976-5 7.784896+1 1.403310-5 7.983679+1 1.404943-5 8.295383+1 1.406552-5 8.687031+1 1.407979-5 9.115409+1 1.409244-5 9.566647+1 1.410860-5 1.025224+2 1.412192-5 1.091873+2 1.412972-5 1.135487+2 1.414250-5 1.214941+2 1.415979-5 1.339066+2 1.418330-5 1.541524+2 1.421008-5 1.823305+2 1.426037-5 2.510108+2 1.429119-5 3.031485+2 1.432611-5 3.701762+2 1.433736-5 3.932213+2 1.436102-5 4.432665+2 1.437764-5 4.791792+2 1.439375-5 5.140787+2 1.440861-5 5.459552+2 1.442302-5 5.761795+2 1.443739-5 6.052906+2 1.445529-5 6.395851+2 1.446467-5 6.564620+2 1.448158-5 6.846370+2 1.449923-5 7.104664+2 1.451339-5 7.281829+2 1.453289-5 7.477528+2 1.454911-5 7.594746+2 1.456591-5 7.670409+2 1.458242-5 7.698501+2 1.460541-5 7.661674+2 1.462203-5 7.581777+2 1.464250-5 7.425982+2 1.465587-5 7.292941+2 1.467305-5 7.089545+2 1.468833-5 6.882092+2 1.470796-5 6.585109+2 1.472542-5 6.299090+2 1.474724-5 5.922174+2 1.477779-5 5.378895+2 1.481707-5 4.694259+2 1.490450-5 3.414498+2 1.493075-5 3.119292+2 1.494817-5 2.946584+2 1.496552-5 2.792088+2 1.498280-5 2.654575+2 1.501716-5 2.424931+2 1.505282-5 2.238962+2 1.508522-5 2.106732+2 1.511885-5 1.997980+2 1.515222-5 1.911806+2 1.521817-5 1.784906+2 1.527500-5 1.705091+2 1.531543-5 1.658865+2 1.537910-5 1.598259+2 1.545353-5 1.540696+2 1.556418-5 1.472868+2 1.562395-5 1.442555+2 1.574164-5 1.392190+2 1.592697-5 1.329559+2 1.607308-5 1.289407+2 1.617673-5 1.264867+2 1.656582-5 1.189675+2 1.700690-5 1.123157+2 1.767185-5 1.041621+2 1.879807-5 9.264590+1 1.938984-5 8.686885+1 1.981937-5 8.230751+1 2.010573-5 7.862791+1 2.029663-5 7.538004+1 2.050773-5 7.133917+1 2.060868-5 7.047569+1 2.065916-5 7.072613+1 2.070964-5 7.158261+1 2.076011-5 7.310404+1 2.078378-5 7.404545+1 2.081759-5 7.562500+1 2.088631-5 7.951441+1 2.096810-5 8.467266+1 2.102616-5 8.807813+1 2.108422-5 9.080565+1 2.112293-5 9.209316+1 2.114844-5 9.267626+1 2.117755-5 9.307375+1 2.121576-5 9.316506+1 2.126489-5 9.261148+1 2.131536-5 9.137408+1 2.136584-5 8.963150+1 2.141632-5 8.757603+1 2.153704-5 8.244160+1 2.159633-5 8.024064+1 2.165041-5 7.857766+1 2.170212-5 7.733970+1 2.176251-5 7.633823+1 2.181935-5 7.580170+1 2.191688-5 7.560123+1 2.215798-5 7.631562+1 2.227274-5 7.615783+1 2.238072-5 7.565425+1 2.268542-5 7.393098+1 2.291079-5 7.288405+1 2.322760-5 7.114572+1 2.361539-5 6.851171+1 2.499439-5 6.060742+1 2.574902-5 5.660402+1 2.656283-5 5.234105+1 2.745365-5 4.774001+1 2.813677-5 4.424740+1 2.885700-5 4.060644+1 2.975704-5 3.603944+1 3.070577-5 3.116254+1 3.143144-5 2.734328+1 3.193554-5 2.462783+1 3.254624-5 2.126522+1 3.287509-5 1.939235+1 3.326018-5 1.710575+1 3.357749-5 1.514792+1 3.381547-5 1.362955+1 3.402868-5 1.222262+1 3.421607-5 1.094159+1 3.438076-5 9.777315+0 3.452552-5 8.725337+0 3.465274-5 7.785722+0 3.476456-5 6.963907+0 3.494921-5 5.716819+0 3.502513-5 5.312492+0 3.509185-5 5.059326+0 3.515050-5 4.951083+0 3.520204-5 4.974117+0 3.524734-5 5.109584+0 3.528716-5 5.336009+0 3.532215-5 5.631565+0 3.535267-5 5.972833+0 3.537932-5 6.341147+0 3.539640-5 6.614319+0 3.542149-5 7.072048+0 3.544446-5 7.553673+0 3.548078-5 8.445871+0 3.552024-5 9.611599+0 3.557751-5 1.170108+1 3.564123-5 1.462990+1 3.570201-5 1.805829+1 3.575674-5 2.169208+1 3.582088-5 2.660278+1 3.585457-5 2.945124+1 3.587253-5 3.104023+1 3.592640-5 3.607620+1 3.596010-5 3.940583+1 3.601944-5 4.552855+1 3.606165-5 5.001575+1 3.610590-5 5.476719+1 3.614600-5 5.905526+1 3.618102-5 6.274077+1 3.622741-5 6.747494+1 3.627320-5 7.191146+1 3.633345-5 7.727725+1 3.637351-5 8.049485+1 3.642545-5 8.420200+1 3.647236-5 8.708102+1 3.653696-5 9.032336+1 3.659268-5 9.249465+1 3.664814-5 9.416055+1 3.672473-5 9.583516+1 3.681301-5 9.720523+1 3.712581-5 1.011150+2 3.721800-5 1.017535+2 3.727612-5 1.017242+2 3.731116-5 1.014865+2 3.740316-5 9.990238+1 3.744706-5 9.859976+1 3.750576-5 9.627513+1 3.756167-5 9.345081+1 3.759521-5 9.148606+1 3.763994-5 8.857886+1 3.768467-5 8.538098+1 3.775176-5 8.014652+1 3.777412-5 7.831199+1 3.784121-5 7.263788+1 3.786357-5 7.071305+1 3.795303-5 6.302296+1 3.804248-5 5.562229+1 3.816826-5 4.622739+1 3.830652-5 3.767341+1 3.839299-5 3.329878+1 3.847406-5 2.982126+1 3.855006-5 2.704252+1 3.862131-5 2.479932+1 3.875491-5 2.134631+1 3.887181-5 1.892801+1 3.900000-5 1.672466+1 3.918043-5 1.415435+1 3.962296-5 9.361594+0 3.969008-5 8.783026+0 3.988546-5 7.361448+0 3.998316-5 6.818641+0 4.008085-5 6.398138+0 4.012969-5 6.233653+0 4.017854-5 6.098347+0 4.022739-5 5.990327+0 4.027623-5 5.906967+0 4.032508-5 5.844952+0 4.037392-5 5.800344+0 4.047162-5 5.745235+0 4.056931-5 5.702903+0 4.066700-5 5.634798+0 4.076469-5 5.508556+0 4.079404-5 5.455738+0 4.088209-5 5.250908+0 4.093228-5 5.102403+0 4.098247-5 4.931679+0 4.102572-5 4.768060+0 4.109059-5 4.497688+0 4.115546-5 4.203599+0 4.125315-5 3.734270+0 4.135084-5 3.260861+0 4.158474-5 2.296856+0 4.164392-5 2.125626+0 4.168512-5 2.030008+0 4.175255-5 1.920046+0 4.178550-5 1.888944+0 4.184250-5 1.872635+0 4.187100-5 1.883015+0 4.189950-5 1.906122+0 4.191891-5 1.929261+0 4.198687-5 2.058070+0 4.205482-5 2.261276+0 4.210576-5 2.461072+0 4.212881-5 2.564296+0 4.223467-5 3.130367+0 4.231202-5 3.622224+0 4.233780-5 3.796651+0 4.241515-5 4.337904+0 4.243682-5 4.491634+0 4.247475-5 4.759470+0 4.250319-5 4.957486+0 4.254586-5 5.246182+0 4.258853-5 5.520287+0 4.262253-5 5.724952+0 4.264804-5 5.868886+0 4.268629-5 6.067234+0 4.272454-5 6.242101+0 4.277610-5 6.436694+0 4.281478-5 6.549416+0 4.284056-5 6.608126+0 4.288568-5 6.678777+0 4.293080-5 6.708889+0 4.294453-5 6.710195+0 4.304061-5 6.624202+0 4.307703-5 6.552750+0 4.314655-5 6.369638+0 4.321938-5 6.130948+0 4.341140-5 5.455521+0 4.346437-5 5.298149+0 4.354958-5 5.100265+0 4.365271-5 4.970448+0 4.368526-5 4.955995+0 4.378289-5 4.986723+0 4.383957-5 5.051587+0 4.390362-5 5.160752+0 4.399068-5 5.359424+0 4.409792-5 5.663052+0 4.435684-5 6.550727+0 4.451312-5 7.168881+0 4.467375-5 7.903412+0 4.475048-5 8.305280+0 4.488089-5 9.086479+0 4.495376-5 9.585530+0 4.507299-5 1.051228+1 4.521301-5 1.179424+1 4.533498-5 1.309921+1 4.554972-5 1.587145+1 4.586060-5 2.107577+1 4.602000-5 2.427758+1 4.608636-5 2.569452+1 4.619924-5 2.817814+1 4.631212-5 3.069587+1 4.642500-5 3.317088+1 4.646859-5 3.409854+1 4.653397-5 3.544773+1 4.664307-5 3.755968+1 4.674144-5 3.929353+1 4.688474-5 4.153714+1 4.699634-5 4.311106+1 4.728511-5 4.719584+1 4.736211-5 4.847072+1 4.746681-5 5.043571+1 4.752674-5 5.169925+1 4.762205-5 5.393348+1 4.769438-5 5.581569+1 4.779671-5 5.874454+1 4.794721-5 6.356264+1 4.833638-5 7.808298+1 4.856405-5 8.759539+1 4.904536-5 1.105760+2 4.971593-5 1.519793+2 5.014187-5 1.848743+2 5.049970-5 2.164866+2 5.069970-5 2.357185+2 5.095000-5 2.613274+2 5.118505-5 2.868432+2 5.142658-5 3.143489+2 5.173113-5 3.504000+2 5.200000-5 3.828949+2 5.227231-5 4.158940+2 5.250000-5 4.433683+2 5.292452-5 4.946706+2 5.330082-5 5.413350+2 5.370318-5 5.934830+2 5.412245-5 6.502264+2 5.450000-5 7.028377+2 5.542086-5 8.394552+2 5.591198-5 9.232470+2 5.669965-5 1.082607+3 5.732712-5 1.226809+3 5.783609-5 1.347401+3 5.808441-5 1.405888+3 5.851637-5 1.505800+3 5.900000-5 1.613090+3 5.927000-5 1.669567+3 5.956621-5 1.727355+3 5.995195-5 1.793952+3 6.030000-5 1.843585+3 6.073966-5 1.890005+3 6.109429-5 1.914114+3 6.141378-5 1.926790+3 6.174463-5 1.932492+3 6.210000-5 1.931871+3 6.245000-5 1.925669+3 6.305391-5 1.904415+3 6.378782-5 1.865065+3 6.572826-5 1.738511+3 6.854058-5 1.569279+3 7.161434-5 1.420815+3 7.438458-5 1.310423+3 7.849421-5 1.178724+3 8.524468-5 1.012531+3 9.382989-5 8.543487+2 1.039247-4 7.130565+2 1.058710-4 6.890616+2 1.080000-4 6.625191+2 1.100887-4 6.336713+2 1.114015-4 6.111727+2 1.124310-4 5.926198+2 1.129987-4 5.857498+2 1.133143-4 5.840100+2 1.137339-4 5.843472+2 1.141072-4 5.869370+2 1.153628-4 6.007796+2 1.161466-4 6.044482+2 1.170842-4 6.028607+2 1.191997-4 5.936816+2 1.254582-4 5.640118+2 1.310720-4 5.363123+2 1.373900-4 5.043546+2 1.422585-4 4.799114+2 1.448481-4 4.659831+2 1.467992-4 4.529166+2 1.480637-4 4.447701+2 1.491178-4 4.405839+2 1.498941-4 4.394095+2 1.535000-4 4.404419+2 1.578274-4 4.342977+2 1.610956-4 4.267521+2 1.647160-4 4.168721+2 1.706850-4 3.994543+2 1.760000-4 3.836626+2 1.846910-4 3.581222+2 1.917559-4 3.348596+2 1.978864-4 3.150447+2 1.995436-4 3.103026+2 2.037089-4 2.976593+2 2.061831-4 2.889367+2 2.105256-4 2.721600+2 2.120280-4 2.676208+2 2.141008-4 2.629383+2 2.179593-4 2.562791+2 2.221250-4 2.519083+2 2.240000-4 2.495085+2 2.280000-4 2.419090+2 2.308000-4 2.351796+2 2.327000-4 2.301522+2 2.355000-4 2.223082+2 2.385000-4 2.135365+2 2.412375-4 2.053272+2 2.442000-4 1.963423+2 2.490500-4 1.816869+2 2.541205-4 1.667486+2 2.661100-4 1.354577+2 2.684586-4 1.303834+2 2.710444-4 1.253465+2 2.742415-4 1.200103+2 2.770000-4 1.163228+2 2.800468-4 1.133833+2 2.842824-4 1.114131+2 2.900077-4 1.126346+2 2.951209-4 1.175182+2 2.976502-4 1.212905+2 3.040000-4 1.343375+2 3.085000-4 1.464631+2 3.131472-4 1.615670+2 3.170000-4 1.759216+2 3.325000-4 2.488931+2 3.370184-4 2.740608+2 3.427843-4 3.080805+2 3.481186-4 3.409794+2 3.556726-4 3.890840+2 3.640000-4 4.429784+2 3.732160-4 5.026692+2 3.833993-4 5.681645+2 3.941168-4 6.361382+2 4.061498-4 7.108446+2 4.172683-4 7.773856+2 4.302923-4 8.507040+2 4.433813-4 9.184612+2 4.587002-4 9.888120+2 4.725136-4 1.043240+3 4.887236-4 1.104035+3 4.933633-4 1.120057+3 4.976076-4 1.137236+3 5.006389-4 1.153982+3 5.119581-4 1.236656+3 5.159576-4 1.261294+3 5.222808-4 1.293496+3 5.266737-4 1.318945+3 5.375534-4 1.392820+3 5.480118-4 1.453790+3 5.662645-4 1.543095+3 5.902257-4 1.644122+3 6.111039-4 1.717954+3 6.411574-4 1.807169+3 6.724645-4 1.882131+3 7.018160-4 1.933352+3 7.183596-4 1.948091+3 7.275035-4 1.951977+3 7.322633-4 1.958043+3 7.373294-4 1.972628+3 7.421295-4 1.995474+3 7.524564-4 2.058299+3 7.610723-4 2.101497+3 7.765578-4 2.152512+3 7.999481-4 2.206566+3 8.335151-4 2.263891+3 8.806491-4 2.319054+3 9.087355-4 2.365638+3 9.350000-4 2.400455+3 9.719576-4 2.433272+3 1.022268-3 2.466809+3 1.062440-3 2.516624+3 1.104396-3 2.546568+3 1.159150-3 2.570910+3 1.225510-3 2.582347+3 1.293944-3 2.582531+3 1.355101-3 2.577078+3 1.443361-3 2.562442+3 1.517924-3 2.543269+3 1.603246-3 2.510308+3 1.701145-3 2.463610+3 1.801138-3 2.409617+3 1.916416-3 2.336707+3 2.029074-3 2.254561+3 2.119295-3 2.181519+3 2.207154-3 2.101234+3 2.291019-3 2.014599+3 2.358114-3 1.937618+3 2.428535-3 1.846939+3 2.483298-3 1.766739+3 2.530026-3 1.688481+3 2.573195-3 1.606129+3 2.605628-3 1.535419+3 2.635870-3 1.459657+3 2.660725-3 1.387175+3 2.684235-3 1.305491+3 2.702506-3 1.228614+3 2.716741-3 1.158586+3 2.727118-3 1.102945+3 2.747118-3 9.983411+2 2.753913-3 9.697140+2 2.760730-3 9.479749+2 2.763747-3 9.411044+2 2.767043-3 9.357673+2 2.770892-3 9.325904+2 2.774375-3 9.326801+2 2.778330-3 9.362659+2 2.783635-3 9.468357+2 2.787377-3 9.580788+2 2.792121-3 9.764391+2 2.797086-3 9.999043+2 2.806916-3 1.055551+3 2.821342-3 1.144758+3 2.827050-3 1.178030+3 2.833930-3 1.214383+3 2.841425-3 1.248306+3 2.849663-3 1.278575+3 2.860188-3 1.308552+3 2.876583-3 1.348066+3 2.883908-3 1.368699+3 2.889381-3 1.387203+3 2.895404-3 1.411515+3 2.901940-3 1.443194+3 2.908030-3 1.477849+3 2.915718-3 1.528224+3 2.938693-3 1.706575+3 2.946586-3 1.769668+3 2.953171-3 1.820203+3 2.959422-3 1.865496+3 2.969020-3 1.928802+3 2.981144-3 1.997168+3 2.995000-3 2.060544+3 3.007891-3 2.108020+3 3.029274-3 2.169545+3 3.050000-3 2.215747+3 3.082739-3 2.272849+3 3.113914-3 2.315331+3 3.148007-3 2.351100+3 3.189701-3 2.382076+3 3.223989-3 2.397445+3 3.265840-3 2.403042+3 3.294601-3 2.396240+3 3.353830-3 2.359223+3 3.366409-3 2.357369+3 3.379828-3 2.363739+3 3.391253-3 2.377360+3 3.409707-3 2.414802+3 3.446571-3 2.518440+3 3.462895-3 2.561283+3 3.480947-3 2.600471+3 3.500594-3 2.633390+3 3.526212-3 2.664879+3 3.561119-3 2.695328+3 3.602245-3 2.720894+3 3.650668-3 2.741944+3 3.701864-3 2.756586+3 3.758466-3 2.765056+3 3.811200-3 2.765815+3 3.860864-3 2.758981+3 3.952687-3 2.727868+3 3.990513-3 2.729645+3 4.087437-3 2.783983+3 4.121614-3 2.793120+3 4.192465-3 2.791912+3 4.256034-3 2.784850+3 4.298006-3 2.792687+3 4.393238-3 2.830113+3 4.440138-3 2.839165+3 4.569481-3 2.842475+3 4.739046-3 2.827353+3 5.038087-3 2.780122+3 5.270781-3 2.730422+3 5.664413-3 2.634586+3 5.998499-3 2.549309+3 6.338337-3 2.459996+3 6.925781-3 2.306153+3 7.445176-3 2.177170+3 7.784846-3 2.095699+3 8.485392-3 1.935104+3 9.306279-3 1.764650+3 9.706889-3 1.687022+3 1.015492-2 1.603897+3 1.062307-2 1.521045+3 1.109175-2 1.441773+3 1.153122-2 1.369692+3 1.192035-2 1.307266+3 1.224256-2 1.255823+3 1.252938-2 1.209863+3 1.279748-2 1.165956+3 1.301767-2 1.128812+3 1.320800-2 1.095270+3 1.337106-2 1.064834+3 1.350905-2 1.036979+3 1.361947-2 1.012403+3 1.371277-2 9.890833+2 1.379049-2 9.668873+2 1.385127-2 9.472085+2 1.394273-2 9.138129+2 1.406747-2 8.684704+2 1.411726-2 8.551687+2 1.415467-2 8.485864+2 1.420000-2 8.452762+2 1.422555-2 8.457567+2 1.425364-2 8.481601+2 1.430707-2 8.574375+2 1.440262-2 8.834482+2 1.448161-2 9.062831+2 1.453385-2 9.193465+2 1.457975-2 9.289243+2 1.464393-2 9.393423+2 1.471571-2 9.475000+2 1.478593-2 9.527772+2 1.488453-2 9.570386+2 1.498414-2 9.587754+2 1.510685-2 9.584723+2 1.524491-2 9.557537+2 1.539446-2 9.505896+2 1.568095-2 9.356954+2 1.584739-2 9.243790+2 1.600940-2 9.113757+2 1.613941-2 8.991973+2 1.626335-2 8.856076+2 1.635874-2 8.732942+2 1.650719-2 8.503342+2 1.666014-2 8.255122+2 1.673979-2 8.158557+2 1.682093-2 8.106360+2 1.689762-2 8.103633+2 1.703628-2 8.174836+2 1.719575-2 8.262206+2 1.745205-2 8.338319+2 1.762198-2 8.441782+2 1.785208-2 8.595596+2 1.803591-2 8.658467+2 1.831688-2 8.674684+2 1.865788-2 8.635003+2 1.911641-2 8.533038+2 1.987672-2 8.305495+2 2.074316-2 8.001178+2 2.200392-2 7.536238+2 2.314897-2 7.121535+2 2.485794-2 6.540743+2 2.750474-2 5.748197+2 3.049478-2 5.001601+2 3.382023-2 4.326161+2 3.646982-2 3.876812+2 3.902563-2 3.499327+2 4.339031-2 2.959580+2 5.100093-2 2.273077+2 5.514562-2 1.991949+2 6.216941-2 1.614291+2 6.992872-2 1.305645+2 7.577040-2 1.125253+2 8.142233-2 9.788646+1 8.521332-2 8.913317+1 8.824868-2 8.245359+1 9.039470-2 7.769934+1 9.181884-2 7.434799+1 9.246880-2 7.268104+1 9.298991-2 7.122463+1 9.377704-2 6.871626+1 9.511697-2 6.399180+1 9.556647-2 6.285394+1 9.592242-2 6.234384+1 9.621719-2 6.221562+1 9.660509-2 6.242196+1 9.715600-2 6.322558+1 9.812527-2 6.490977+1 9.878420-2 6.565873+1 9.957420-2 6.606861+1 1.007327-1 6.608542+1 1.022190-1 6.561523+1 1.040766-1 6.465091+1 1.066627-1 6.300299+1 1.107962-1 6.008328+1 1.166064-1 5.585766+1 1.249530-1 5.013957+1 1.348963-1 4.419483+1 1.510306-1 3.640870+1 1.768184-1 2.755658+1 2.080043-1 2.054855+1 2.452943-1 1.517091+1 3.030087-1 1.021162+1 3.871574-1 6.403641+0 5.236758-1 3.575340+0 7.815013-1 1.637738+0 1.228714+0 6.728772-1 2.039158+0 2.465663-1 4.671441+0 4.722256-2 1.410753+1 5.182318-3 4.260405+1 5.682655-4 1.286622+2 6.230948-5 3.885536+2 6.832103-6 1.258925+3 6.508130-7 3.981072+3 6.508130-8 1.258925+4 6.508130-9 3.981072+4 6.50813-10 1.000000+5 1.03147-10 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.417100-6 1.258900-6 2.246000-6 1.584900-6 3.559600-6 1.995300-6 5.641600-6 2.511900-6 8.941300-6 3.162300-6 1.417100-5 3.981100-6 2.245900-5 5.011900-6 3.559500-5 6.309600-6 5.641400-5 7.943300-6 8.941000-5 1.000000-5 1.417000-4 1.258900-5 2.245800-4 1.584900-5 3.559300-4 1.995300-5 5.641000-4 2.511900-5 8.940200-4 3.162300-5 1.416900-3 3.981100-5 2.245500-3 5.011900-5 3.558700-3 6.309600-5 5.639700-3 7.943300-5 8.931900-3 1.000000-4 1.414300-2 1.258900-4 2.239800-2 1.584900-4 3.543200-2 1.995300-4 5.602400-2 2.511900-4 8.844200-2 3.162300-4 1.393200-1 3.981100-4 2.186800-1 5.011900-4 3.414300-1 6.309600-4 5.273400-1 7.943300-4 8.028200-1 1.000000-3 1.199300+0 1.258900-3 1.748000+0 1.584900-3 2.476800+0 1.995300-3 3.406000+0 2.511900-3 4.555500+0 3.162300-3 5.926800+0 3.981100-3 7.496700+0 5.011900-3 9.265700+0 6.309600-3 1.129700+1 7.943300-3 1.364800+1 1.000000-2 1.629700+1 1.258900-2 1.909600+1 1.584900-2 2.190100+1 1.995300-2 2.468600+1 2.511900-2 2.743400+1 3.162300-2 3.002300+1 3.981100-2 3.227200+1 5.011900-2 3.385000+1 6.309600-2 3.491800+1 7.943300-2 3.558000+1 1.000000-1 3.548600+1 1.258900-1 3.479200+1 1.584900-1 3.360800+1 1.995300-1 3.208600+1 2.511900-1 3.025500+1 3.162300-1 2.824100+1 3.981100-1 2.612900+1 5.011900-1 2.398800+1 6.309600-1 2.186000+1 7.943300-1 1.978400+1 1.000000+0 1.777700+1 1.258900+0 1.588000+1 1.584900+0 1.408400+1 1.995300+0 1.240900+1 2.511900+0 1.086200+1 3.162300+0 9.447900+0 3.981100+0 8.168700+0 5.011900+0 7.022800+0 6.309600+0 6.005500+0 7.943300+0 5.111400+0 1.000000+1 4.330800+0 1.258900+1 3.654500+0 1.584900+1 3.072600+0 1.995300+1 2.574700+0 2.511900+1 2.151000+0 3.162300+1 1.792200+0 3.981100+1 1.489600+0 5.011900+1 1.235300+0 6.309600+1 1.022400+0 7.943300+1 8.446500-1 1.000000+2 6.966400-1 1.258900+2 5.737000-1 1.584900+2 4.718000-1 1.995300+2 3.875100-1 2.511900+2 3.179000-1 3.162300+2 2.605100-1 3.981100+2 2.132700-1 5.011900+2 1.744300-1 6.309600+2 1.425400-1 7.943300+2 1.163900-1 1.000000+3 9.495700-2 1.258900+3 7.741800-2 1.584900+3 6.307500-2 1.995300+3 5.135600-2 2.511900+3 4.178900-2 3.162300+3 3.398500-2 3.981100+3 2.762300-2 5.011900+3 2.244000-2 6.309600+3 1.822000-2 7.943300+3 1.478700-2 1.000000+4 1.199600-2 1.258900+4 9.726600-3 1.584900+4 7.883500-3 1.995300+4 6.387100-3 2.511900+4 5.172800-3 3.162300+4 4.187700-3 3.981100+4 3.389100-3 5.011900+4 2.741800-3 6.309600+4 2.217400-3 7.943300+4 1.792700-3 1.000000+5 1.448900-3 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159546-4 3.981072-4 3.976748-4 5.011872-4 5.005035-4 6.309573-4 6.298754-4 7.943282-4 7.926274-4 1.000000-3 9.973200-4 1.258925-3 1.254723-3 1.584893-3 1.578332-3 1.995262-3 1.985021-3 2.511886-3 2.495899-3 3.162278-3 3.137387-3 3.981072-3 3.942436-3 5.011872-3 4.951811-3 6.309573-3 6.215942-3 7.943282-3 7.796996-3 1.000000-2 9.771685-3 1.258925-2 1.223473-2 1.584893-2 1.530129-2 1.995262-2 1.910908-2 2.511886-2 2.382176-2 3.162278-2 2.963681-2 3.981072-2 3.678920-2 5.011872-2 4.555955-2 6.309573-2 5.627983-2 7.943282-2 6.929679-2 1.000000-1 8.506994-2 1.258925-1 1.041454-1 1.584893-1 1.270804-1 1.995262-1 1.544387-1 2.511886-1 1.871437-1 3.162278-1 2.260613-1 3.981072-1 2.722304-1 5.011872-1 3.268015-1 6.309573-1 3.912192-1 7.943282-1 4.671000-1 1.000000+0 5.566832-1 1.258925+0 6.617840-1 1.584893+0 7.861070-1 1.995262+0 9.332324-1 2.511886+0 1.107822+0 3.162278+0 1.315531+0 3.981072+0 1.563525+0 5.011872+0 1.860375+0 6.309573+0 2.216651+0 7.943282+0 2.645135+0 1.000000+1 3.161763+0 1.258925+1 3.785848+0 1.584893+1 4.541035+0 1.995262+1 5.456291+0 2.511886+1 6.567130+0 3.162278+1 7.917140+0 3.981072+1 9.559612+0 5.011872+1 1.156033+1 6.309573+1 1.400011+1 7.943282+1 1.697775+1 1.000000+2 2.061515+1 1.258925+2 2.506239+1 1.584893+2 3.050376+1 1.995262+2 3.716743+1 2.511886+2 4.533262+1 3.162278+2 5.534519+1 3.981072+2 6.762972+1 5.011872+2 8.271311+1 6.309573+2 1.012426+2 7.943282+2 1.240185+2 1.000000+3 1.520283+2 1.258925+3 1.864937+2 1.584893+3 2.289212+2 1.995262+3 2.811704+2 2.511886+3 3.455654+2 3.162278+3 4.249315+2 3.981072+3 5.228212+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090842-9 2.511886-5 1.728834-9 3.162278-5 2.739951-9 3.981072-5 4.342396-9 5.011872-5 6.881968-9 6.309573-5 1.090663-8 7.943282-5 1.728197-8 1.000000-4 2.738561-8 1.258925-4 4.339909-8 1.584893-4 6.875546-8 1.995262-4 1.089303-7 2.511886-4 1.725326-7 3.162278-4 2.731650-7 3.981072-4 4.323263-7 5.011872-4 6.837348-7 6.309573-4 1.081940-6 7.943282-4 1.700881-6 1.000000-3 2.679980-6 1.258925-3 4.202696-6 1.584893-3 6.561437-6 1.995262-3 1.024097-5 2.511886-3 1.598734-5 3.162278-3 2.489085-5 3.981072-3 3.863522-5 5.011872-3 6.006088-5 6.309573-3 9.363136-5 7.943282-3 1.462862-4 1.000000-2 2.283151-4 1.258925-2 3.545248-4 1.584893-2 5.476377-4 1.995262-2 8.435448-4 2.511886-2 1.297104-3 3.162278-2 1.985968-3 3.981072-2 3.021520-3 5.011872-2 4.559173-3 6.309573-2 6.815905-3 7.943282-2 1.013604-2 1.000000-1 1.493006-2 1.258925-1 2.174716-2 1.584893-1 3.140893-2 1.995262-1 4.508751-2 2.511886-1 6.404493-2 3.162278-1 9.016650-2 3.981072-1 1.258768-1 5.011872-1 1.743857-1 6.309573-1 2.397381-1 7.943282-1 3.272282-1 1.000000+0 4.433168-1 1.258925+0 5.971414-1 1.584893+0 7.987862-1 1.995262+0 1.062030+0 2.511886+0 1.404064+0 3.162278+0 1.846746+0 3.981072+0 2.417547+0 5.011872+0 3.151497+0 6.309573+0 4.092923+0 7.943282+0 5.298147+0 1.000000+1 6.838237+0 1.258925+1 8.803406+0 1.584893+1 1.130790+1 1.995262+1 1.449633+1 2.511886+1 1.855173+1 3.162278+1 2.370564+1 3.981072+1 3.025110+1 5.011872+1 3.855839+1 6.309573+1 4.909563+1 7.943282+1 6.245508+1 1.000000+2 7.938485+1 1.258925+2 1.008302+2 1.584893+2 1.279856+2 1.995262+2 1.623588+2 2.511886+2 2.058560+2 3.162278+2 2.608826+2 3.981072+2 3.304774+2 5.011872+2 4.184741+2 6.309573+2 5.297147+2 7.943282+2 6.703097+2 1.000000+3 8.479717+2 1.258925+3 1.072432+3 1.584893+3 1.355972+3 1.995262+3 1.714092+3 2.511886+3 2.166321+3 3.162278+3 2.737346+3 3.981072+3 3.458250+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 8.540000-6 7.126758+7 8.810489-6 6.838075+7 9.120108-6 6.487661+7 9.440609-6 6.114589+7 9.772372-6 5.727454+7 1.011579-5 5.331677+7 1.050000-5 4.907128+7 1.096478-5 4.423798+7 1.150000-5 3.915363+7 1.194000-5 3.537139+7 1.194000-5 6.423528+7 1.202264-5 6.349213+7 1.216186-5 6.222636+7 1.244515-5 5.960454+7 1.273503-5 5.693705+7 1.310000-5 5.355313+7 1.350000-5 4.996393+7 1.380384-5 4.730552+7 1.420000-5 4.400088+7 1.445440-5 4.197251+7 1.462177-5 4.068758+7 1.515000-5 3.684876+7 1.570000-5 3.325224+7 1.584893-5 3.233464+7 1.640590-5 2.915547+7 1.737801-5 2.442460+7 1.819701-5 2.113701+7 1.862087-5 1.966081+7 2.264644-5 1.052641+7 2.301000-5 1.000826+7 2.301000-5 1.111688+7 2.350000-5 1.038788+7 2.454709-5 9.017178+6 2.540973-5 8.068816+6 2.600160-5 7.492113+6 2.786121-5 6.008358+6 2.951209-5 5.009114+6 3.019952-5 4.660244+6 3.090295-5 4.336547+6 3.235937-5 3.760822+6 3.349654-5 3.381071+6 3.427678-5 3.151235+6 3.507519-5 2.937748+6 3.589219-5 2.740524+6 3.758374-5 2.386185+6 3.845918-5 2.227183+6 3.900000-5 2.136677+6 4.027170-5 1.943045+6 4.120975-5 1.815455+6 4.168694-5 1.755071+6 4.315191-5 1.586354+6 4.365158-5 1.534021+6 4.466836-5 1.435294+6 4.506000-5 1.399707+6 4.506000-5 3.451671+6 4.540000-5 3.522487+6 4.570882-5 3.607839+6 4.602000-5 3.718741+6 4.623810-5 3.814927+6 4.630000-5 3.843182+6 4.657000-5 3.986192+6 4.680000-5 4.128776+6 4.710000-5 4.346353+6 4.740000-5 4.603231+6 4.770000-5 4.903882+6 4.800000-5 5.253912+6 4.835000-5 5.732681+6 4.841724-5 5.835916+6 4.870000-5 6.297068+6 4.920000-5 7.274776+6 4.920000-5 8.401352+6 4.954502-5 9.285204+6 4.970000-5 9.721488+6 4.980000-5 1.002354+7 5.011872-5 1.106925+7 5.040000-5 1.210290+7 5.070000-5 1.334689+7 5.080000-5 1.379476+7 5.095000-5 1.445101+7 5.130000-5 1.612433+7 5.150000-5 1.717660+7 5.160000-5 1.772881+7 5.190000-5 1.950791+7 5.230000-5 2.218201+7 5.232700-5 2.237643+7 5.250000-5 2.328049+7 5.270000-5 2.422392+7 5.308844-5 2.619292+7 5.315000-5 2.652028+7 5.340000-5 2.790801+7 5.350000-5 2.835873+7 5.360000-5 2.881854+7 5.370318-5 2.932596+7 5.450000-5 3.368364+7 5.465000-5 3.459423+7 5.474400-5 3.513711+7 5.560000-5 3.879830+7 5.580000-5 3.976705+7 5.610000-5 4.132260+7 5.650000-5 4.355097+7 5.688529-5 4.586024+7 5.690000-5 4.595307+7 5.730000-5 4.850017+7 5.760000-5 5.047946+7 5.780000-5 5.167383+7 5.790000-5 5.221750+7 5.800000-5 5.273240+7 5.821032-5 5.385712+7 5.850000-5 5.534930+7 5.870000-5 5.634152+7 5.900000-5 5.774290+7 5.920000-5 5.858896+7 5.927000-5 5.888035+7 5.956621-5 5.994372+7 5.985000-5 6.079507+7 6.015000-5 6.150562+7 6.030000-5 6.176791+7 6.040000-5 6.186311+7 6.070000-5 6.196521+7 6.095369-5 6.174933+7 6.100000-5 6.171064+7 6.130000-5 6.129100+7 6.165950-5 6.059355+7 6.200000-5 5.976978+7 6.237348-5 5.871646+7 6.240000-5 5.864263+7 6.280000-5 5.739076+7 6.326500-5 5.582993+7 6.330000-5 5.570840+7 6.350000-5 5.496211+7 6.400000-5 5.305355+7 6.456542-5 5.089713+7 6.500000-5 4.943879+7 6.606934-5 4.579024+7 6.683439-5 4.334504+7 6.760830-5 4.103101+7 7.161434-5 3.119232+7 7.244360-5 2.951188+7 7.673615-5 2.252144+7 7.943282-5 1.915341+7 8.035261-5 1.814727+7 8.222426-5 1.627048+7 8.511380-5 1.381507+7 8.709636-5 1.237333+7 8.810489-5 1.171032+7 9.300000-5 9.044555+6 9.440609-5 8.416963+6 1.000000-4 6.391008+6 1.011579-4 6.049118+6 1.083927-4 4.378895+6 1.120000-4 3.759211+6 1.135011-4 3.533366+6 1.161449-4 3.174869+6 1.178200-4 2.970895+6 1.178200-4 3.707839+6 1.184000-4 3.652402+6 1.190000-4 3.592657+6 1.197000-4 3.520406+6 1.202264-4 3.464448+6 1.205000-4 3.435676+6 1.216186-4 3.315711+6 1.230269-4 3.166413+6 1.244515-4 3.020421+6 1.247000-4 2.995880+6 1.260000-4 2.869570+6 1.273503-4 2.744872+6 1.303167-4 2.491437+6 1.318257-4 2.373410+6 1.333521-4 2.260881+6 1.350000-4 2.147101+6 1.380384-4 1.954876+6 1.400000-4 1.842620+6 1.428894-4 1.693595+6 1.450000-4 1.594723+6 1.462177-4 1.541764+6 1.487800-4 1.437459+6 1.487800-4 1.808709+6 1.492500-4 1.807641+6 1.496236-4 1.804366+6 1.500000-4 1.798980+6 1.505000-4 1.788969+6 1.510000-4 1.776070+6 1.515000-4 1.760720+6 1.520000-4 1.743688+6 1.528000-4 1.713829+6 1.531087-4 1.701468+6 1.535000-4 1.686097+6 1.548817-4 1.629751+6 1.570000-4 1.545653+6 1.603245-4 1.423964+6 1.621810-4 1.363012+6 1.640590-4 1.304987+6 1.659587-4 1.250690+6 1.670000-4 1.222805+6 1.678804-4 1.200187+6 1.720000-4 1.103394+6 1.724100-4 1.094635+6 1.740000-4 1.062080+6 1.760000-4 1.023428+6 1.780000-4 9.868217+5 1.800000-4 9.530157+5 1.820000-4 9.216912+5 1.862087-4 8.615516+5 1.865000-4 8.576872+5 1.900000-4 8.139986+5 1.905461-4 8.074915+5 1.949845-4 7.595904+5 1.950000-4 7.594311+5 1.962700-4 7.469923+5 1.962700-4 7.954219+5 1.968000-4 7.908499+5 1.980000-4 7.811943+5 1.990000-4 7.732263+5 1.995262-4 7.690059+5 2.002000-4 7.638231+5 2.005000-4 7.615801+5 2.023900-4 7.473620+5 2.041738-4 7.341746+5 2.065380-4 7.181173+5 2.089296-4 7.022389+5 2.090000-4 7.018093+5 2.112000-4 6.883649+5 2.112000-4 8.171929+5 2.112900-4 8.197543+5 2.115000-4 8.244908+5 2.117000-4 8.286609+5 2.119500-4 8.333211+5 2.120000-4 8.340940+5 2.123000-4 8.388604+5 2.126000-4 8.427870+5 2.129000-4 8.459656+5 2.133000-4 8.492118+5 2.137000-4 8.513502+5 2.137962-4 8.515951+5 2.142000-4 8.527897+5 2.147000-4 8.530189+5 2.150000-4 8.524927+5 2.153000-4 8.519491+5 2.160000-4 8.492524+5 2.168300-4 8.446378+5 2.175000-4 8.401556+5 2.179300-4 8.368671+5 2.179300-4 9.407313+5 2.179900-4 9.420766+5 2.182700-4 9.459858+5 2.185000-4 9.486697+5 2.187000-4 9.507204+5 2.187762-4 9.513248+5 2.190000-4 9.531945+5 2.192000-4 9.543657+5 2.195000-4 9.555841+5 2.198000-4 9.562819+5 2.202000-4 9.563373+5 2.206000-4 9.555719+5 2.211000-4 9.537039+5 2.213095-4 9.525611+5 2.216500-4 9.507374+5 2.222000-4 9.469842+5 2.230000-4 9.405492+5 2.238721-4 9.326420+5 2.240000-4 9.315571+5 2.241000-4 9.307354+5 2.260000-4 9.139430+5 2.264644-4 9.101344+5 2.280000-4 8.976836+5 2.290868-4 8.896714+5 2.295000-4 8.868587+5 2.300000-4 8.837237+5 2.308000-4 8.788524+5 2.313000-4 8.760975+5 2.317395-4 8.738603+5 2.323000-4 8.710808+5 2.327000-4 8.693598+5 2.340000-4 8.643082+5 2.344229-4 8.629594+5 2.350000-4 8.614473+5 2.355000-4 8.601982+5 2.358000-4 8.596477+5 2.371374-4 8.577487+5 2.373000-4 8.576240+5 2.385000-4 8.572845+5 2.390000-4 8.574592+5 2.400000-4 8.583185+5 2.405000-4 8.591916+5 2.419800-4 8.625752+5 2.420000-4 8.626372+5 2.435000-4 8.681128+5 2.442000-4 8.710908+5 2.450000-4 8.751544+5 2.454709-4 8.778074+5 2.465000-4 8.839892+5 2.483133-4 8.974858+5 2.485000-4 8.989405+5 2.490000-4 9.031456+5 2.507000-4 9.189487+5 2.515000-4 9.271342+5 2.520000-4 9.326176+5 2.530000-4 9.439664+5 2.540973-4 9.573706+5 2.550000-4 9.688922+5 2.570396-4 9.982692+5 2.580000-4 1.012941+6 2.600160-4 1.046431+6 2.615000-4 1.073306+6 2.643600-4 1.130592+6 2.650000-4 1.144299+6 2.660725-4 1.168052+6 2.661100-4 1.168901+6 2.730000-4 1.348472+6 2.770000-4 1.471376+6 2.780000-4 1.504820+6 2.800000-4 1.572911+6 2.818383-4 1.638580+6 2.830000-4 1.680665+6 2.851018-4 1.760656+6 2.884032-4 1.888907+6 2.890000-4 1.913365+6 2.900000-4 1.952500+6 2.930000-4 2.075858+6 2.951209-4 2.162384+6 2.965000-4 2.220983+6 3.000000-4 2.367409+6 3.019952-4 2.449290+6 3.040000-4 2.534742+6 3.080000-4 2.700971+6 3.090295-4 2.742114+6 3.115000-4 2.843537+6 3.126079-4 2.888725+6 3.130000-4 2.904907+6 3.162278-4 3.034398+6 3.180000-4 3.105488+6 3.200000-4 3.183025+6 3.235937-4 3.322358+6 3.240000-4 3.338473+6 3.280000-4 3.486051+6 3.300000-4 3.559299+6 3.311311-4 3.598751+6 3.335000-4 3.682545+6 3.350000-4 3.734036+6 3.390000-4 3.865057+6 3.410000-4 3.928476+6 3.430000-4 3.987793+6 3.450000-4 4.047866+6 3.470000-4 4.105198+6 3.507519-4 4.205396+6 3.510000-4 4.211715+6 3.530000-4 4.262911+6 3.548134-4 4.305412+6 3.550000-4 4.309796+6 3.589219-4 4.397523+6 3.600000-4 4.421824+6 3.672823-4 4.558746+6 3.680000-4 4.571032+6 3.700000-4 4.601102+6 3.758374-4 4.689180+6 3.780000-4 4.714446+6 3.801894-4 4.740010+6 3.845918-4 4.791513+6 3.850000-4 4.795752+6 3.890451-4 4.831237+6 3.935501-4 4.870741+6 3.981072-4 4.898398+6 4.000000-4 4.909845+6 4.027170-4 4.926282+6 4.030000-4 4.927984+6 4.050000-4 4.937568+6 4.120975-4 4.959849+6 4.150000-4 4.968867+6 4.168694-4 4.972313+6 4.265795-4 4.975797+6 4.280000-4 4.976304+6 4.315191-4 4.968628+6 4.365158-4 4.957847+6 4.390000-4 4.952512+6 4.415704-4 4.944718+6 4.518559-4 4.900724+6 4.570882-4 4.873986+6 4.623810-4 4.841879+6 4.677351-4 4.809938+6 4.731513-4 4.774271+6 4.786301-4 4.734207+6 4.841724-4 4.694354+6 4.850000-4 4.688462+6 4.897788-4 4.651648+6 4.930000-4 4.627153+6 4.954502-4 4.606680+6 4.992800-4 4.575062+6 4.992800-4 4.738840+6 5.007000-4 4.737922+6 5.052000-4 4.733019+6 5.069907-4 4.729031+6 5.092600-4 4.723528+6 5.100000-4 4.721925+6 5.150000-4 4.700372+6 5.155000-4 4.697947+6 5.188000-4 4.676742+6 5.220000-4 4.656726+6 5.230000-4 4.649889+6 5.248075-4 4.636421+6 5.270800-4 4.618566+6 5.270800-4 4.735651+6 5.302000-4 4.719519+6 5.308844-4 4.715872+6 5.370318-4 4.684759+6 5.400000-4 4.665009+6 5.432503-4 4.645688+6 5.435000-4 4.644110+6 5.495409-4 4.600973+6 5.500000-4 4.597760+6 5.559043-4 4.557313+6 5.580000-4 4.542781+6 5.623413-4 4.511250+6 5.688529-4 4.461989+6 5.700000-4 4.453024+6 5.754399-4 4.409589+6 5.800000-4 4.374143+6 5.821032-4 4.357405+6 5.888437-4 4.304821+6 5.900000-4 4.295972+6 5.950000-4 4.256245+6 5.956621-4 4.250966+6 6.000000-4 4.214727+6 6.050000-4 4.172233+6 6.200000-4 4.048544+6 6.237348-4 4.018672+6 6.350000-4 3.926906+6 6.382635-4 3.900178+6 6.456542-4 3.840980+6 6.531306-4 3.782854+6 6.600000-4 3.731072+6 6.606934-4 3.725681+6 6.683439-4 3.666406+6 6.700000-4 3.653810+6 6.850000-4 3.540178+6 7.000000-4 3.431124+6 7.079458-4 3.374211+6 7.080000-4 3.373819+6 7.161434-4 3.315397+6 7.244360-4 3.257318+6 7.328245-4 3.200432+6 7.400000-4 3.153223+6 7.413102-4 3.144694+6 7.417100-4 3.142027+6 7.417100-4 3.334037+6 7.500000-4 3.278010+6 7.700000-4 3.146216+6 7.720000-4 3.133180+6 7.762471-4 3.106659+6 7.800000-4 3.083407+6 7.852356-4 3.051171+6 7.943282-4 2.995265+6 8.000000-4 2.961592+6 8.035261-4 2.940577+6 8.050000-4 2.931876+6 8.128305-4 2.885780+6 8.200000-4 2.844412+6 8.280000-4 2.799013+6 8.317638-4 2.778287+6 8.413951-4 2.725333+6 8.500000-4 2.679506+6 8.511380-4 2.673505+6 8.609938-4 2.621276+6 8.906500-4 2.473069+6 8.906500-4 2.506471+6 8.912509-4 2.503621+6 9.015711-4 2.454266+6 9.120108-4 2.405577+6 9.225714-4 2.357352+6 9.332543-4 2.310185+6 9.350000-4 2.302636+6 9.440609-4 2.263863+6 9.549926-4 2.218572+6 9.850000-4 2.098819+6 9.885531-4 2.085187+6 9.930000-4 2.068243+6 1.000000-3 2.041864+6 1.011579-3 1.998971+6 1.021400-3 1.963741+6 1.021400-3 2.001434+6 1.030000-3 1.971276+6 1.035142-3 1.953338+6 1.040000-3 1.936526+6 1.059254-3 1.872187+6 1.071519-3 1.832638+6 1.083927-3 1.793726+6 1.096478-3 1.755760+6 1.109175-3 1.718390+6 1.110000-3 1.716006+6 1.122018-3 1.681330+6 1.130000-3 1.658952+6 1.150000-3 1.605005+6 1.161449-3 1.574840+6 1.174898-3 1.540564+6 1.188502-3 1.506923+6 1.190000-3 1.503291+6 1.202264-3 1.474015+6 1.210000-3 1.455802+6 1.216186-3 1.441487+6 1.230269-3 1.409415+6 1.244515-3 1.378127+6 1.250000-3 1.366270+6 1.258925-3 1.347184+6 1.288250-3 1.287444+6 1.300000-3 1.264711+6 1.303167-3 1.258637+6 1.318257-3 1.229997+6 1.333521-3 1.202078+6 1.348963-3 1.174693+6 1.350000-3 1.172883+6 1.364583-3 1.147898+6 1.412538-3 1.071020+6 1.428894-3 1.046445+6 1.445440-3 1.022261+6 1.462177-3 9.985666+5 1.470000-3 9.877601+5 1.479108-3 9.754036+5 1.500000-3 9.477945+5 1.513561-3 9.305459+5 1.515000-3 9.287267+5 1.531087-3 9.087502+5 1.548817-3 8.875046+5 1.566751-3 8.664800+5 1.603245-3 8.260473+5 1.621810-3 8.066261+5 1.659587-3 7.686993+5 1.678804-3 7.503727+5 1.698244-3 7.324685+5 1.717908-3 7.148873+5 1.737801-3 6.977575+5 1.757924-3 6.810593+5 1.778279-3 6.646628+5 1.800000-3 6.477500+5 1.819701-3 6.329096+5 1.840772-3 6.176209+5 1.862087-3 6.026596+5 1.883649-3 5.879885+5 1.905461-3 5.736979+5 1.927525-3 5.596581+5 1.949845-3 5.459811+5 1.950000-3 5.458879+5 1.972423-3 5.325133+5 2.000000-3 5.167470+5 2.041738-3 4.942176+5 2.065380-3 4.821231+5 2.070000-3 4.798113+5 2.089296-3 4.701989+5 2.113489-3 4.585418+5 2.137962-3 4.470993+5 2.238721-3 4.041947+5 2.264644-3 3.941655+5 2.290868-3 3.843070+5 2.317395-3 3.747121+5 2.371374-3 3.560142+5 2.400000-3 3.466352+5 2.426610-3 3.382406+5 2.454709-3 3.297122+5 2.483133-3 3.213483+5 2.511886-3 3.132069+5 2.540973-3 3.052251+5 2.630268-3 2.824993+5 2.650000-3 2.778256+5 2.660725-3 2.753265+5 2.691535-3 2.683029+5 2.722701-3 2.614105+5 2.754229-3 2.547005+5 2.786121-3 2.481633+5 2.786200-3 2.481473+5 2.786200-3 6.524603+5 2.818383-3 6.341586+5 2.857000-3 6.131552+5 2.875000-3 6.044561+5 2.884032-3 5.992175+5 2.890000-3 5.957907+5 2.910000-3 5.827897+5 2.911400-3 5.820588+5 2.911400-3 8.402615+5 2.917427-3 8.358415+5 2.933000-3 8.245448+5 2.951209-3 8.123498+5 2.970000-3 8.000204+5 2.995000-3 7.834547+5 3.000000-3 7.796095+5 3.019952-3 7.645202+5 3.030000-3 7.572277+5 3.050000-3 7.441810+5 3.090295-3 7.207387+5 3.126079-3 7.003456+5 3.150000-3 6.868710+5 3.198895-3 6.608395+5 3.235937-3 6.420312+5 3.311311-3 6.059539+5 3.349654-3 5.883447+5 3.398500-3 5.668760+5 3.398500-3 6.582171+5 3.427678-3 6.448450+5 3.500000-3 6.130264+5 3.507519-3 6.098487+5 3.548134-3 5.930918+5 3.589219-3 5.767845+5 3.590000-3 5.764808+5 3.630781-3 5.607075+5 3.650000-3 5.534898+5 3.672823-3 5.450819+5 3.715352-3 5.298854+5 3.758374-3 5.150203+5 3.801894-3 5.005761+5 3.845918-3 4.865527+5 3.900000-3 4.699277+5 3.935501-3 4.594377+5 3.981072-3 4.464513+5 3.991800-3 4.434705+5 3.991800-3 4.707940+5 4.000000-3 4.684844+5 4.027170-3 4.609475+5 4.073803-3 4.483610+5 4.135000-3 4.325988+5 4.150000-3 4.288293+5 4.168694-3 4.241959+5 4.190000-3 4.189687+5 4.216965-3 4.125132+5 4.285500-3 3.967350+5 4.285500-3 4.136986+5 4.300000-3 4.104026+5 4.315191-3 4.069509+5 4.319000-3 4.060847+5 4.415704-3 3.849455+5 4.518559-3 3.641677+5 4.623810-3 3.445653+5 4.677351-3 3.351847+5 4.731513-3 3.260164+5 4.800000-3 3.148132+5 4.897788-3 2.997121+5 4.900000-3 2.993829+5 4.954502-3 2.914284+5 5.011872-3 2.833827+5 5.069907-3 2.755594+5 5.128614-3 2.679349+5 5.188000-3 2.605321+5 5.248075-3 2.532982+5 5.300000-3 2.472406+5 5.432503-3 2.326952+5 5.495409-3 2.262022+5 5.500000-3 2.257383+5 5.559043-3 2.198934+5 5.623413-3 2.137380+5 5.688529-3 2.077642+5 5.800000-3 1.980741+5 5.821032-3 1.963183+5 5.888437-3 1.908422+5 5.900000-3 1.899189+5 5.956621-3 1.854493+5 6.025596-3 1.801696+5 6.095369-3 1.750486+5 6.100000-3 1.747156+5 6.165950-3 1.700712+5 6.237348-3 1.652432+5 6.309573-3 1.605488+5 6.382635-3 1.559959+5 6.500000-3 1.490463+5 6.531306-3 1.472703+5 6.606934-3 1.431036+5 6.683439-3 1.390502+5 6.760830-3 1.351134+5 6.918310-3 1.275813+5 7.000000-3 1.239093+5 7.079458-3 1.204695+5 7.161434-3 1.170552+5 7.328245-3 1.104371+5 7.413102-3 1.072726+5 7.498942-3 1.042033+5 7.500000-3 1.041663+5 7.585776-3 1.012069+5 7.673615-3 9.829646+4 7.762471-3 9.547415+4 7.852356-3 9.272352+4 8.000000-3 8.842615+4 8.035261-3 8.744269+4 8.222426-3 8.247439+4 8.317638-3 8.010305+4 8.413951-3 7.779128+4 8.511380-3 7.554798+4 8.609938-3 7.337259+4 8.810489-3 6.920715+4 8.912509-3 6.721840+4 9.000000-3 6.557217+4 9.015711-3 6.528273+4 9.120108-3 6.340131+4 9.225714-3 6.155447+4 9.332543-3 5.976420+4 9.440609-3 5.802381+4 9.500000-3 5.709771+4 9.549926-3 5.633501+4 9.660509-3 5.469047+4 9.772372-3 5.309657+4 1.000000-2 5.005340+4 1.011579-2 4.859388+4 1.035142-2 4.580447+4 1.040000-2 4.525757+4 1.047129-2 4.446884+4 1.059254-2 4.316574+4 1.071519-2 4.190201+4 1.083927-2 4.067625+4 1.096478-2 3.948817+4 1.109175-2 3.833639+4 1.135011-2 3.613727+4 1.150000-2 3.493427+4 1.161449-2 3.404789+4 1.174898-2 3.304717+4 1.188502-2 3.207277+4 1.190000-2 3.196796+4 1.202264-2 3.112750+4 1.230269-2 2.931754+4 1.258925-2 2.761775+4 1.273503-2 2.680690+4 1.288250-2 2.602031+4 1.300800-2 2.537548+4 1.303167-2 2.525586+4 1.318257-2 2.451178+4 1.333521-2 2.378766+4 1.350000-2 2.303865+4 1.412538-2 2.047293+4 1.420000-2 2.019380+4 1.421500-2 2.013831+4 1.421500-2 4.965655+4 1.428894-2 4.903277+4 1.438000-2 4.827989+4 1.445440-2 4.761850+4 1.450000-2 4.721933+4 1.462177-2 4.617365+4 1.479108-2 4.476910+4 1.513561-2 4.208900+4 1.531087-2 4.081000+4 1.548817-2 3.956997+4 1.566751-2 3.836710+4 1.584893-2 3.718364+4 1.603245-2 3.603624+4 1.621810-2 3.492457+4 1.659587-2 3.280480+4 1.678804-2 3.179262+4 1.684000-2 3.152573+4 1.684000-2 4.418868+4 1.698244-2 4.322103+4 1.717908-2 4.193195+4 1.737801-2 4.068145+4 1.747300-2 4.010253+4 1.747300-2 4.635607+4 1.757924-2 4.565684+4 1.760000-2 4.552196+4 1.778279-2 4.434510+4 1.798871-2 4.306983+4 1.840772-2 4.063113+4 1.862087-2 3.946559+4 1.900000-2 3.750571+4 1.905461-2 3.723466+4 1.910000-2 3.701117+4 1.920000-2 3.652808+4 1.927525-2 3.616840+4 1.949845-2 3.513069+4 1.972423-2 3.412343+4 2.000000-2 3.292272+4 2.018366-2 3.215569+4 2.041738-2 3.121549+4 2.113489-2 2.855961+4 2.137962-2 2.772616+4 2.150000-2 2.732755+4 2.162719-2 2.691461+4 2.187762-2 2.612887+4 2.213095-2 2.536669+4 2.213400-2 2.535770+4 2.238721-2 2.462256+4 2.264644-2 2.390066+4 2.290868-2 2.320039+4 2.317395-2 2.252128+4 2.344229-2 2.186256+4 2.371374-2 2.122326+4 2.398833-2 2.059854+4 2.400000-2 2.057257+4 2.426610-2 1.998812+4 2.454709-2 1.939544+4 2.483133-2 1.882006+4 2.511886-2 1.826221+4 2.540973-2 1.772128+4 2.570396-2 1.719680+4 2.600160-2 1.668811+4 2.650000-2 1.588257+4 2.660725-2 1.571628+4 2.691535-2 1.525195+4 2.722701-2 1.480159+4 2.730000-2 1.469852+4 2.754229-2 1.436055+4 2.818383-2 1.351146+4 2.851018-2 1.310551+4 2.884032-2 1.271198+4 2.917427-2 1.233056+4 2.951209-2 1.196087+4 2.985383-2 1.160243+4 3.054921-2 1.091816+4 3.126079-2 1.027519+4 3.162278-2 9.968335+3 3.198895-2 9.670635+3 3.235937-2 9.380113+3 3.273407-2 9.098164+3 3.349654-2 8.559567+3 3.388442-2 8.302647+3 3.427678-2 8.053515+3 3.467369-2 7.810425+3 3.507519-2 7.573228+3 3.548134-2 7.343403+3 3.589219-2 7.120716+3 3.672823-2 6.695888+3 3.715352-2 6.493279+3 3.758374-2 6.296767+3 3.801894-2 6.106140+3 3.845918-2 5.920710+3 3.890451-2 5.741020+3 3.935501-2 5.566909+3 4.027170-2 5.234613+3 4.073803-2 5.075273+3 4.168694-2 4.771342+3 4.315191-2 4.349996+3 4.365158-2 4.217540+3 4.415704-2 4.089091+3 4.466836-2 3.963626+3 4.518559-2 3.841999+3 4.570882-2 3.724186+3 4.623810-2 3.610040+3 4.677351-2 3.499467+3 4.731513-2 3.392330+3 4.841724-2 3.187975+3 4.897788-2 3.090541+3 4.954502-2 2.996150+3 5.011872-2 2.904706+3 5.069907-2 2.815784+3 5.128614-2 2.729566+3 5.188000-2 2.646051+3 5.248075-2 2.565067+3 5.308844-2 2.486560+3 5.370318-2 2.409730+3 5.432503-2 2.335309+3 5.495409-2 2.263231+3 5.559043-2 2.193423+3 5.688529-2 2.060303+3 5.754399-2 1.996867+3 5.821032-2 1.935410+3 5.888437-2 1.875884+3 6.025596-2 1.762377+3 6.095369-2 1.708235+3 6.165950-2 1.655734+3 6.237348-2 1.604630+3 6.309573-2 1.554960+3 6.382635-2 1.506858+3 6.456542-2 1.460264+3 6.531306-2 1.415135+3 6.606934-2 1.371309+3 6.683439-2 1.328860+3 6.839116-2 1.247937+3 6.918310-2 1.209381+3 6.998420-2 1.172030+3 7.000000-2 1.171310+3 7.079458-2 1.135667+3 7.161434-2 1.100450+3 7.328245-2 1.033271+3 7.498942-2 9.701970+2 7.585776-2 9.401452+2 7.673615-2 9.110240+2 7.852356-2 8.554989+2 7.943282-2 8.290411+2 8.035261-2 8.033679+2 8.222426-2 7.544152+2 8.413951-2 7.082350+2 8.511380-2 6.861917+2 8.609938-2 6.648461+2 8.709636-2 6.441523+2 8.810489-2 6.241021+2 9.440609-2 5.164382+2 9.549926-2 5.004227+2 9.606800-2 4.923572+2 9.606800-2 2.258230+3 9.660509-2 2.223656+3 9.730000-2 2.179934+3 9.772372-2 2.158610+3 9.780000-2 2.154803+3 9.885531-2 2.092792+3 1.000000-1 2.037469+3 1.011580-1 1.976290+3 1.023293-1 1.916960+3 1.030000-1 1.884091+3 1.047129-1 1.807743+3 1.083927-1 1.657763+3 1.109175-1 1.560958+3 1.122019-1 1.514704+3 1.135011-1 1.469829+3 1.148154-1 1.426287+3 1.150000-1 1.420315+3 1.174898-1 1.342960+3 1.188502-1 1.303146+3 1.190000-1 1.298863+3 1.202264-1 1.264869+3 1.216186-1 1.227761+3 1.230269-1 1.191747+3 1.258925-1 1.122873+3 1.288250-1 1.057995+3 1.318257-1 9.968826+2 1.333521-1 9.676634+2 1.364583-1 9.117766+2 1.380384-1 8.846066+2 1.396368-1 8.582489+2 1.412538-1 8.326778+2 1.428894-1 8.078467+2 1.500000-1 7.110168+2 1.548817-1 6.536204+2 1.584893-1 6.152613+2 1.621810-1 5.791593+2 1.659587-1 5.451779+2 1.678804-1 5.289446+2 1.698244-1 5.131957+2 1.757924-1 4.687363+2 1.798871-1 4.412655+2 1.819701-1 4.281412+2 1.840772-1 4.154083+2 1.883649-1 3.910701+2 1.905461-1 3.794422+2 1.927525-1 3.681611+2 1.949845-1 3.572216+2 1.972423-1 3.466082+2 2.018366-1 3.263210+2 2.089296-1 2.980981+2 2.113489-1 2.892450+2 2.137962-1 2.806599+2 2.187762-1 2.642479+2 2.213095-1 2.564062+2 2.238721-1 2.487986+2 2.264644-1 2.414204+2 2.290868-1 2.342612+2 2.299100-1 2.320745+2 2.317395-1 2.273149+2 2.344229-1 2.205752+2 2.371374-1 2.140358+2 2.398833-1 2.076906+2 2.426610-1 2.015346+2 2.454709-1 1.955614+2 2.483133-1 1.898270+2 2.511886-1 1.842611+2 2.540973-1 1.788619+2 2.570396-1 1.736226+2 2.600160-1 1.685371+2 2.660725-1 1.588152+2 2.691535-1 1.541719+2 2.722701-1 1.496649+2 2.754229-1 1.452901+2 2.818383-1 1.369211+2 2.851018-1 1.329195+2 2.884032-1 1.290356+2 2.917427-1 1.252656+2 2.985383-1 1.181410+2 3.000000-1 1.166835+2 3.000060-1 1.166775+2 3.019952-1 1.147344+2 3.054921-1 1.114263+2 3.090295-1 1.082136+2 3.126079-1 1.050937+2 3.162278-1 1.020638+2 3.273407-1 9.349167+1 3.311311-1 9.080152+1 3.349654-1 8.818933+1 3.388442-1 8.565425+1 3.427678-1 8.323464+1 3.467369-1 8.088379+1 3.507519-1 7.859957+1 3.548134-1 7.637995+1 3.589219-1 7.422311+1 3.630781-1 7.212720+1 3.758374-1 6.618847+1 3.801894-1 6.432044+1 3.845918-1 6.250642+1 3.890451-1 6.074488+1 3.935501-1 5.906545+1 3.981072-1 5.743257+1 4.000000-1 5.677315+1 4.216965-1 4.992277+1 4.265795-1 4.854317+1 4.315191-1 4.720238+1 4.365158-1 4.589869+1 4.415705-1 4.463236+1 4.466836-1 4.340158+1 4.518559-1 4.222714+1 4.570882-1 4.108708+1 4.623810-1 3.997793+1 4.677351-1 3.889889+1 4.731513-1 3.784899+1 4.841724-1 3.583456+1 4.897788-1 3.486796+1 4.954502-1 3.392761+1 5.011872-1 3.301352+1 5.069907-1 3.212407+1 5.128614-1 3.127731+1 5.188000-1 3.045291+1 5.248075-1 2.965028+1 5.308844-1 2.887100+1 5.370318-1 2.811223+1 5.432503-1 2.737353+1 5.495409-1 2.665436+1 5.559043-1 2.595411+1 5.623413-1 2.527295+1 5.754399-1 2.396384+1 5.821032-1 2.334819+1 5.888437-1 2.274902+1 6.025596-1 2.159647+1 6.095369-1 2.104372+1 6.165950-1 2.050522+1 6.237348-1 1.998052+1 6.309573-1 1.946979+1 6.456542-1 1.848720+1 6.531306-1 1.801491+1 6.606935-1 1.756466+1 6.683439-1 1.712591+1 6.760830-1 1.669820+1 6.839117-1 1.628118+1 6.918310-1 1.587492+1 6.998420-1 1.547975+1 7.079458-1 1.509458+1 7.161434-1 1.471901+1 7.244360-1 1.435298+1 7.328245-1 1.399606+1 7.413102-1 1.364804+1 7.498942-1 1.331640+1 7.585776-1 1.299300+1 7.673615-1 1.267747+1 7.762471-1 1.236986+1 7.852356-1 1.206978+1 7.943282-1 1.177779+1 8.000000-1 1.160097+1 8.128305-1 1.121519+1 8.222427-1 1.094407+1 8.317638-1 1.067950+1 8.609938-1 9.941324+0 8.709636-1 9.707139+0 8.810489-1 9.478608+0 9.015711-1 9.038861+0 9.120108-1 8.826751+0 9.225714-1 8.619638+0 9.332543-1 8.417437+0 9.440609-1 8.225090+0 9.549926-1 8.037340+0 9.660509-1 7.854256+0 9.772372-1 7.675346+0 9.885531-1 7.500561+0 1.000000+0 7.330249+0 1.011579+0 7.163985+0 1.022000+0 7.019145+0 1.023293+0 7.001501+0 1.047129+0 6.687906+0 1.059254+0 6.536455+0 1.071519+0 6.390785+0 1.083927+0 6.248454+0 1.096478+0 6.109309+0 1.109175+0 5.973256+0 1.122018+0 5.840244+0 1.135011+0 5.710401+0 1.148154+0 5.583475+0 1.161449+0 5.459373+0 1.174898+0 5.338107+0 1.188502+0 5.219542+0 1.202264+0 5.103909+0 1.216186+0 4.990862+0 1.230269+0 4.880322+0 1.244515+0 4.772340+0 1.250000+0 4.732922+0 1.258925+0 4.669853+0 1.273503+0 4.569629+0 1.288250+0 4.471630+0 1.303167+0 4.375737+0 1.318257+0 4.281900+0 1.333521+0 4.190364+0 1.364583+0 4.013163+0 1.380384+0 3.927472+0 1.396368+0 3.843624+0 1.412538+0 3.761613+0 1.445440+0 3.606896+0 1.496236+0 3.386824+0 1.513561+0 3.316737+0 1.531087+0 3.248119+0 1.584893+0 3.050662+0 1.621810+0 2.929086+0 1.640590+0 2.870213+0 1.698244+0 2.700635+0 1.717908+0 2.646552+0 1.737801+0 2.593569+0 1.778279+0 2.490820+0 1.798871+0 2.440980+0 1.819701+0 2.393476+0 1.840772+0 2.346898+0 1.862087+0 2.301301+0 1.883649+0 2.256599+0 1.927525+0 2.169785+0 1.949845+0 2.127783+0 1.972423+0 2.086612+0 2.000000+0 2.038047+0 2.018366+0 2.006692+0 2.041738+0 1.967887+0 2.044000+0 1.964194+0 2.065380+0 1.930754+0 2.089296+0 1.894419+0 2.113489+0 1.858825+0 2.187762+0 1.756028+0 2.213095+0 1.723043+0 2.238721+0 1.690788+0 2.264644+0 1.659144+0 2.290868+0 1.628107+0 2.317395+0 1.597652+0 2.344229+0 1.567767+0 2.371374+0 1.539220+0 2.398833+0 1.511194+0 2.426610+0 1.483721+0 2.511886+0 1.404281+0 2.540973+0 1.378758+0 2.570396+0 1.353783+0 2.600160+0 1.329265+0 2.630268+0 1.305205+0 2.660725+0 1.281580+0 2.691535+0 1.258383+0 2.722701+0 1.236225+0 2.754229+0 1.214457+0 2.786121+0 1.193107+0 2.884032+0 1.131294+0 2.917427+0 1.111411+0 2.951209+0 1.091943+0 3.000000+0 1.064810+0 3.019952+0 1.054040+0 3.054921+0 1.035592+0 3.090295+0 1.017467+0 3.126079+0 9.996586-1 3.162278+0 9.826433-1 3.198895+0 9.659304-1 3.235937+0 9.495157-1 3.349654+0 9.019383-1 3.388442+0 8.866151-1 3.427678+0 8.716045-1 3.467369+0 8.568515-1 3.507519+0 8.423562-1 3.548134+0 8.281061-1 3.589219+0 8.140972-1 3.630781+0 8.003250-1 3.672823+0 7.871507-1 3.715352+0 7.742028-1 3.758374+0 7.614789-1 3.890451+0 7.245566-1 3.935501+0 7.126517-1 4.000000+0 6.962319-1 4.027170+0 6.895080-1 4.073803+0 6.782275-1 4.120975+0 6.671318-1 4.168694+0 6.562175-1 4.216965+0 6.454819-1 4.265795+0 6.352044-1 4.315191+0 6.250978-1 4.365158+0 6.151607-1 4.570882+0 5.769751-1 4.623810+0 5.678054-1 4.677351+0 5.588124-1 4.731513+0 5.499639-1 4.786301+0 5.412603-1 4.841724+0 5.326945-1 4.897788+0 5.242643-1 4.954502+0 5.159675-1 5.011872+0 5.080177-1 5.069907+0 5.001960-1 5.128614+0 4.925012-1 5.432503+0 4.557751-1 5.495409+0 4.487655-1 5.559043+0 4.418869-1 5.623413+0 4.351154-1 5.688529+0 4.284512-1 5.754399+0 4.218891-1 5.821032+0 4.154275-1 5.888437+0 4.090648-1 5.956621+0 4.029628-1 6.025596+0 3.969561-1 6.095369+0 3.910441-1 6.456542+0 3.627848-1 6.531306+0 3.573831-1 6.606934+0 3.520794-1 6.683439+0 3.468556-1 6.760830+0 3.417120-1 6.839116+0 3.366448-1 6.918310+0 3.316527-1 7.000000+0 3.266389-1 7.079458+0 3.220125-1 7.161434+0 3.173644-1 7.244360+0 3.127870-1 7.762471+0 2.866816-1 7.852356+0 2.825478-1 8.000000+0 2.760039-1 8.128305+0 2.705357-1 8.222427+0 2.666484-1 8.413951+0 2.590408-1 8.511380+0 2.553187-1 8.609938+0 2.516501-1 8.709636+0 2.481274-1 8.810489+0 2.446565-1 8.912509+0 2.412372-1 9.000000+0 2.383739-1 9.332543+0 2.280339-1 9.440609+0 2.248477-1 9.549926+0 2.217159-1 9.660509+0 2.186285-1 9.772372+0 2.155855-1 1.011579+1 2.067084-1 1.035142+1 2.009942-1 1.047129+1 1.981965-1 1.071519+1 1.928476-1 1.083927+1 1.902292-1 1.096478+1 1.876486-1 1.109175+1 1.851028-1 1.122018+1 1.825924-1 1.148154+1 1.776727-1 1.161449+1 1.752630-1 1.174898+1 1.728931-1 1.188502+1 1.705560-1 1.230269+1 1.637349-1 1.273503+1 1.571867-1 1.288250+1 1.550626-1 1.348963+1 1.469977-1 1.380384+1 1.431261-1 1.412538+1 1.393589-1 1.445440+1 1.356910-1 1.462177+1 1.338938-1 1.500000+1 1.299916-1 1.513561+1 1.286437-1 1.531087+1 1.269460-1 1.548817+1 1.252713-1 1.566751+1 1.236188-1 1.603245+1 1.204460-1 1.621810+1 1.188903-1 1.678804+1 1.143449-1 1.778279+1 1.071563-1 1.927525+1 9.784493-2 1.949845+1 9.658270-2 2.000000+1 9.385558-2 2.018366+1 9.289302-2 2.041738+1 9.169859-2 2.065380+1 9.054385-2 2.089296+1 8.940365-2 2.113489+1 8.827780-2 2.187762+1 8.498648-2 2.317395+1 7.977483-2 2.511886+1 7.301105-2 2.540973+1 7.209276-2 2.570396+1 7.118618-2 2.630268+1 6.940709-2 2.660725+1 6.853432-2 2.691535+1 6.767283-2 2.722701+1 6.682417-2 2.754229+1 6.600073-2 2.800000+1 6.483956-2 2.818383+1 6.438421-2 3.019952+1 5.977037-2 3.198895+1 5.618118-2 3.467369+1 5.151546-2 3.507519+1 5.088135-2 3.548134+1 5.025512-2 3.589219+1 4.963662-2 3.630781+1 4.902572-2 3.672823+1 4.842259-2 3.715352+1 4.782821-2 3.758374+1 4.725098-2 3.801894+1 4.668072-2 4.216965+1 4.185040-2 4.570882+1 3.844334-2 5.069907+1 3.446719-2 5.188000+1 3.364102-2 5.308844+1 3.283474-2 5.370318+1 3.243888-2 5.432503+1 3.204780-2 5.495409+1 3.166146-2 5.559043+1 3.127987-2 5.623413+1 3.090360-2 5.688529+1 3.053721-2 5.754399+1 3.017516-2 5.821032+1 2.981740-2 5.888437+1 2.946402-2 6.456542+1 2.678372-2 6.918310+1 2.493554-2 7.585776+1 2.266814-2 7.943282+1 2.161298-2 8.222427+1 2.085402-2 8.413951+1 2.036292-2 8.609938+1 1.988339-2 8.810489+1 1.941518-2 8.912509+1 1.918527-2 9.015711+1 1.895810-2 9.225714+1 1.851244-2 9.332543+1 1.829616-2 9.660509+1 1.766235-2 9.885531+1 1.725205-2 1.011579+2 1.685143-2 1.109175+2 1.533980-2 1.174898+2 1.446498-2 1.244515+2 1.364006-2 1.303167+2 1.301412-2 1.348963+2 1.256363-2 1.380384+2 1.227200-2 1.428894+2 1.184719-2 1.445440+2 1.170888-2 1.500000+2 1.127466-2 1.548817+2 1.091236-2 1.584893+2 1.065911-2 1.603245+2 1.053481-2 1.698244+2 9.934713-3 1.778279+2 9.482585-3 1.927525+2 8.740300-3 1.972423+2 8.539097-3 2.018366+2 8.342567-3 2.213095+2 7.600639-3 2.344229+2 7.170911-3 2.483133+2 6.765480-3 2.600160+2 6.457701-3 2.691535+2 6.236102-3 2.754229+2 6.092610-3 2.851018+2 5.883542-3 2.884032+2 5.815458-3 2.985383+2 5.615903-3 3.090295+2 5.423215-3 3.162278+2 5.298444-3 3.198895+2 5.237177-3 3.388442+2 4.941307-3 3.548134+2 4.717678-3 3.845918+2 4.350402-3 3.935501+2 4.250819-3 4.027170+2 4.153528-3 4.415704+2 3.786127-3 4.677351+2 3.573221-3 4.954502+2 3.372286-3 5.188000+2 3.219706-3 5.370318+2 3.109822-3 5.495409+2 3.038657-3 5.688529+2 2.934953-3 5.754399+2 2.901178-3 5.956621+2 2.802167-3 6.165950+2 2.706541-3 6.309573+2 2.644611-3 6.382635+2 2.614192-3 6.760830+2 2.467269-3 7.079458+2 2.356036-3 1.531087+3 1.087934-3 1.566751+3 1.063127-3 1.603245+3 1.038887-3 1.757924+3 9.473306-4 1.862087+3 8.942557-4 3.935501+3 4.226125-4 4.120975+3 4.035622-4 4.265795+3 3.898402-4 4.365158+3 3.809525-4 4.518559+3 3.679994-4 4.570882+3 3.637802-4 4.731513+3 3.514110-4 4.897788+3 3.394628-4 5.011872+3 3.317238-4 5.069907+3 3.279214-4 5.370318+3 3.095531-4 5.623413+3 2.956196-4 4.841724+4 3.432768-5 4.954502+4 3.354622-5 5.069907+4 3.278256-5 1.000000+5 1.661964-5 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 8.540000-6 8.540000-6 1.194000-5 8.540000-6 1.194000-5 1.006778-5 1.273503-5 1.017971-5 1.380384-5 1.027620-5 1.570000-5 1.035969-5 1.862087-5 1.040304-5 2.301000-5 1.042343-5 2.301000-5 1.167861-5 3.090295-5 1.144266-5 3.589219-5 1.135215-5 4.168694-5 1.132022-5 4.506000-5 1.133398-5 4.506000-5 3.138357-5 4.570882-5 3.250442-5 4.630000-5 3.370225-5 4.841724-5 3.848269-5 4.920000-5 4.001825-5 4.920000-5 4.124947-5 5.011872-5 4.241968-5 5.095000-5 4.323980-5 5.190000-5 4.392136-5 5.270000-5 4.432401-5 5.850000-5 4.636546-5 6.040000-5 4.671566-5 6.280000-5 4.679644-5 1.011579-4 4.594656-5 1.178200-4 4.544044-5 1.178200-4 5.433733-5 1.197000-4 5.504490-5 1.216186-4 5.548098-5 1.273503-4 5.618026-5 1.487800-4 5.800307-5 1.487800-4 6.499205-5 1.500000-4 6.580850-5 1.515000-4 6.638449-5 1.535000-4 6.673889-5 1.865000-4 6.869276-5 1.962700-4 6.906056-5 1.962700-4 7.274958-5 2.041738-4 7.383303-5 2.112000-4 7.440546-5 2.112000-4 7.980401-5 2.123000-4 8.087400-5 2.137962-4 8.171291-5 2.160000-4 8.219696-5 2.179300-4 8.228423-5 2.179300-4 8.544474-5 2.195000-4 8.618971-5 2.216500-4 8.650158-5 2.327000-4 8.622590-5 2.390000-4 8.670663-5 2.450000-4 8.778784-5 2.520000-4 8.967208-5 2.730000-4 9.654745-5 2.830000-4 9.929727-5 2.930000-4 1.013664-4 3.040000-4 1.029398-4 3.200000-4 1.043789-4 3.430000-4 1.055152-4 3.780000-4 1.062493-4 4.518559-4 1.066062-4 4.992800-4 1.065663-4 4.992800-4 1.093347-4 5.100000-4 1.105290-4 5.248075-4 1.113297-4 5.270800-4 1.113954-4 5.270800-4 1.134367-4 5.559043-4 1.152922-4 6.050000-4 1.173761-4 7.417100-4 1.217047-4 7.417100-4 1.291123-4 8.906500-4 1.341194-4 8.906500-4 1.360764-4 1.021400-3 1.403762-4 1.021400-3 1.436192-4 1.216186-3 1.497580-4 1.462177-3 1.561449-4 1.757924-3 1.624382-4 2.089296-3 1.681692-4 2.511886-3 1.740686-4 2.786200-3 1.772784-4 2.786200-3 2.594482-4 2.911400-3 2.592306-4 2.911400-3 2.754368-4 3.398500-3 2.753358-4 3.398500-3 2.955011-4 3.991800-3 2.984286-4 3.991800-3 3.087708-4 4.285500-3 3.110144-4 4.285500-3 3.206262-4 5.688529-3 3.322650-4 7.413102-3 3.435757-4 9.549926-3 3.544614-4 1.202264-2 3.641895-4 1.421500-2 3.710716-4 1.421500-2 4.610760-4 1.684000-2 4.631729-4 1.684000-2 4.810050-4 1.747300-2 4.814381-4 1.747300-2 5.169703-4 2.454709-2 5.303476-4 3.467369-2 5.439207-4 4.731513-2 5.560289-4 6.456542-2 5.678470-4 8.810489-2 5.789298-4 9.606800-2 5.818893-4 9.606800-2 5.299747-4 2.398833-1 5.334802-4 6.606935-1 5.354986-4 1.000000+5 5.357359-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.540000-6 0.0 1.178200-4 0.0 1.178200-4 1.58203-10 1.184000-4 1.63088-10 1.190000-4 1.67450-10 1.197000-4 1.71731-10 1.205000-4 1.75800-10 1.216186-4 1.80450-10 1.230269-4 1.85069-10 1.247000-4 1.89601-10 1.273503-4 1.95904-10 1.380384-4 2.18139-10 1.450000-4 2.33004-10 1.487800-4 2.41803-10 1.487800-4 1.053532-9 1.492500-4 1.092114-9 1.496236-4 1.118188-9 1.500000-4 1.140576-9 1.505000-4 1.164518-9 1.510000-4 1.183096-9 1.515000-4 1.197043-9 1.520000-4 1.207632-9 1.528000-4 1.218994-9 1.535000-4 1.224662-9 1.548817-4 1.229042-9 1.603245-4 1.224186-9 1.640590-4 1.217600-9 1.724100-4 1.212612-9 1.820000-4 1.208513-9 1.905461-4 1.198602-9 1.962700-4 1.186809-9 1.962700-4 1.224168-9 2.041738-4 1.215168-9 2.112000-4 1.199564-9 2.112000-4 7.549023-9 2.112900-4 7.681355-9 2.115000-4 7.936415-9 2.117000-4 8.162721-9 2.120000-4 8.465089-9 2.123000-4 8.738713-9 2.126000-4 8.976477-9 2.129000-4 9.183094-9 2.133000-4 9.418140-9 2.137962-4 9.644915-9 2.142000-4 9.794201-9 2.147000-4 9.931413-9 2.153000-4 1.004653-8 2.160000-4 1.012766-8 2.168300-4 1.016961-8 2.179300-4 1.015999-8 2.179300-4 9.168000-9 2.187762-4 8.995022-9 2.198000-4 8.833178-9 2.211000-4 8.695347-9 2.230000-4 8.573450-9 2.241000-4 8.527601-9 2.264644-4 8.482934-9 2.280000-4 8.481475-9 2.300000-4 8.526230-9 2.317395-4 8.599671-9 2.327000-4 8.655073-9 2.344229-4 8.783343-9 2.358000-4 8.911992-9 2.373000-4 9.080168-9 2.390000-4 9.312081-9 2.405000-4 9.547530-9 2.420000-4 9.803572-9 2.442000-4 1.023209-8 2.465000-4 1.073152-8 2.490000-4 1.131686-8 2.520000-4 1.207073-8 2.570396-4 1.340170-8 2.661100-4 1.580386-8 2.730000-4 1.747404-8 2.780000-4 1.852396-8 2.818383-4 1.921282-8 2.851018-4 1.971195-8 2.900000-4 2.033421-8 2.951209-4 2.084740-8 3.019952-4 2.135831-8 3.090295-4 2.173474-8 3.180000-4 2.208465-8 3.311311-4 2.239846-8 3.430000-4 2.254701-8 3.600000-4 2.263251-8 4.120975-4 2.265289-8 4.992800-4 2.247583-8 4.992800-4 2.304319-8 5.150000-4 2.333502-8 5.270800-4 2.340468-8 5.270800-4 2.563469-8 5.370318-4 2.618773-8 5.435000-4 2.648223-8 5.623413-4 2.709079-8 5.821032-4 2.761905-8 6.237348-4 2.838844-8 7.417100-4 3.045337-8 7.417100-4 3.895013-8 8.906500-4 4.246842-8 8.906500-4 4.487943-8 1.021400-3 4.830353-8 1.021400-3 5.225808-8 1.130000-3 5.534450-8 1.258925-3 5.865685-8 1.412538-3 6.228568-8 1.603245-3 6.636098-8 1.819701-3 7.052558-8 2.089296-3 7.508735-8 2.400000-3 7.971258-8 2.754229-3 8.434814-8 2.786200-3 8.473521-8 2.786200-3 1.024733-7 2.911400-3 1.028822-7 2.911400-3 2.976794-5 2.995000-3 2.981332-5 3.030000-3 2.948219-5 3.050000-3 2.939377-5 3.198895-3 2.935305-5 3.311311-3 2.938269-5 3.398500-3 2.931714-5 3.398500-3 2.909259-5 3.991800-3 2.878438-5 3.991800-3 3.206078-5 4.285500-3 3.225087-5 4.285500-3 3.270668-5 5.248075-3 3.329213-5 6.760830-3 3.398538-5 9.000000-3 3.475032-5 1.174898-2 3.542753-5 1.421500-2 3.589962-5 1.421500-2 2.717990-3 1.450000-2 2.720462-3 1.684000-2 2.698530-3 1.684000-2 3.936886-3 1.747300-2 3.943760-3 1.747300-2 4.108266-3 2.187762-2 4.150156-3 2.754229-2 4.178834-3 4.073803-2 4.204479-3 8.035261-2 4.210412-3 9.606800-2 4.207552-3 9.606800-2 6.784479-2 1.174898-1 6.841172-2 1.500000-1 6.896795-2 2.238721-1 6.953342-2 4.570882-1 7.014693-2 9.549926-1 7.072144-2 1.000000+5 7.074463-2 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 8.540000-6 0.0 1.194000-5 3.400000-6 1.194000-5 1.872222-6 1.216186-5 2.057731-6 1.244515-5 2.300374-6 1.310000-5 2.880920-6 1.380384-5 3.527641-6 1.462177-5 4.300353-6 1.584893-5 5.486128-6 1.862087-5 8.217830-6 2.301000-5 1.258657-5 2.301000-5 1.133139-5 3.235937-5 2.094936-5 4.168694-5 3.036672-5 4.506000-5 3.372602-5 4.506000-5 1.367643-5 4.540000-5 1.345388-5 4.570882-5 1.320440-5 4.602000-5 1.290495-5 4.657000-5 1.227863-5 4.800000-5 1.042950-5 4.841724-5 9.934554-6 4.870000-5 9.635778-6 4.920000-5 9.181751-6 4.920000-5 7.950528-6 4.954502-5 7.824083-6 4.980000-5 7.756196-6 5.011872-5 7.699045-6 5.040000-5 7.677446-6 5.080000-5 7.687547-6 5.130000-5 7.784688-6 5.160000-5 7.871905-6 5.190000-5 7.978642-6 5.232700-5 8.160784-6 5.315000-5 8.649871-6 5.610000-5 1.055084-5 5.760000-5 1.151759-5 5.870000-5 1.228046-5 5.956621-5 1.295934-5 6.070000-5 1.395619-5 6.200000-5 1.519497-5 6.760830-5 2.093118-5 9.440609-5 4.828014-5 1.178200-4 7.237956-5 1.178200-4 6.348252-5 1.197000-4 6.465492-5 1.230269-4 6.732627-5 1.333521-4 7.665579-5 1.487800-4 9.077669-5 1.487800-4 8.378689-5 1.500000-4 8.419036-5 1.520000-4 8.549365-5 1.548817-4 8.802606-5 1.905461-4 1.216773-4 1.962700-4 1.272082-4 1.962700-4 1.235192-4 2.065380-4 1.324816-4 2.112000-4 1.367933-4 2.112000-4 1.313884-4 2.126000-4 1.315010-4 2.147000-4 1.327010-4 2.179300-4 1.356356-4 2.179300-4 1.324761-4 2.198000-4 1.335218-4 2.230000-4 1.364838-4 2.340000-4 1.477192-4 2.420000-4 1.548213-4 2.520000-4 1.623158-4 2.780000-4 1.799757-4 2.900000-4 1.891662-4 3.040000-4 2.010387-4 3.300000-4 2.250076-4 3.801894-4 2.738924-4 4.992800-4 3.926912-4 4.992800-4 3.899222-4 5.248075-4 4.134544-4 5.270800-4 4.156612-4 5.270800-4 4.136176-4 6.050000-4 4.875958-4 7.417100-4 6.199748-4 7.417100-4 6.125587-4 8.906500-4 7.564881-4 8.906500-4 7.545288-4 1.021400-3 8.809755-4 1.021400-3 8.777286-4 1.678804-3 1.517859-3 2.786200-3 2.608837-3 2.786200-3 2.526650-3 2.911400-3 2.652067-3 2.911400-3 2.606195-3 3.398500-3 3.093847-3 3.398500-3 3.073906-3 3.991800-3 3.664587-3 3.991800-3 3.650969-3 4.285500-3 3.942235-3 4.285500-3 3.932167-3 1.318257-2 1.277886-2 1.421500-2 1.380803-2 1.421500-2 1.103593-2 1.684000-2 1.367830-2 1.684000-2 1.242211-2 1.747300-2 1.304780-2 1.747300-2 1.284776-2 3.054921-2 2.582280-2 9.606800-2 9.127856-2 9.606800-2 2.769323-2 9.730000-2 2.893092-2 1.011580-1 3.263396-2 1.122019-1 4.336107-2 1.500000-1 8.050023-2 2.660725-1 1.958338-1 2.691535+0 2.620264+0 1.000000+5 9.999993+4 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 9.606800-2 1.765873+3 9.730000-2 1.704494+3 9.780000-2 1.686016+3 9.885531-2 1.637631+3 1.000000-1 1.596478+3 1.030000-1 1.477482+3 1.083927-1 1.304276+3 1.190000-1 1.025196+3 1.364583-1 7.236668+2 2.454709-1 1.571880+2 2.917427-1 1.009264+2 3.388442-1 6.913897+1 3.890451-1 4.912207+1 4.466836-1 3.515739+1 5.069907-1 2.606069+1 5.754399-1 1.947143+1 6.531306-1 1.466032+1 7.413102-1 1.112272+1 8.317638-1 8.714740+0 9.332543-1 6.877926+0 1.059254+0 5.345794+0 1.244515+0 3.903460+0 1.412538+0 3.075945+0 1.584893+0 2.494140+0 1.798871+0 1.995709+0 2.044000+0 1.605914+0 2.344229+0 1.281796+0 2.691535+0 1.028849+0 3.126079+0 8.173108-1 3.630781+0 6.543427-1 4.216965+0 5.277420-1 4.954502+0 4.218530-1 5.888437+0 3.344535-1 7.000000+0 2.670600-1 8.609938+0 2.057496-1 1.047129+1 1.620441-1 1.288250+1 1.267782-1 1.566751+1 1.010770-1 2.041738+1 7.497882-2 2.722701+1 5.463998-2 3.715352+1 3.910766-2 5.623413+1 2.526901-2 9.225714+1 1.513685-2 1.698244+2 8.123125-3 3.388442+2 4.040419-3 6.760830+2 2.017400-3 5.370318+3 2.531110-4 1.000000+5 1.359000-5 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 9.606800-2 5.155000-4 1.000000+5 5.155000-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 9.606800-2 8.558800-2 1.000000+5 8.558800-2 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 9.606800-2 9.964500-3 1.000000+5 9.999991+4 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.747300-2 6.253534+3 1.910000-2 5.360040+3 1.972423-2 5.084837+3 2.162719-2 4.301550+3 2.400000-2 3.574800+3 2.754229-2 2.753533+3 3.427678-2 1.784764+3 3.801894-2 1.441186+3 4.415704-2 1.052870+3 5.308844-2 7.056297+2 6.165950-2 5.049956+2 7.000000-2 3.781740+2 8.222426-2 2.601169+2 9.660509-2 1.774891+2 1.150000-1 1.165532+2 1.412538-1 7.043367+1 2.660725-1 1.462104+1 3.273407-1 8.794973+0 3.890451-1 5.797765+0 4.518559-1 4.068260+0 5.248075-1 2.879036+0 6.025596-1 2.108013+0 6.918310-1 1.555396+0 7.852356-1 1.185228+0 8.810489-1 9.321828-1 9.885531-1 7.385107-1 1.188502+0 5.141852-1 1.318257+0 4.217196-1 1.496236+0 3.335021-1 1.698244+0 2.658945-1 1.927525+0 2.136366-1 2.213095+0 1.696634-1 2.540973+0 1.357679-1 2.917427+0 1.094276-1 3.388442+0 8.729613-2 3.935501+0 7.016907-2 4.623810+0 5.590672-2 5.495409+0 4.418459-2 6.531306+0 3.518977-2 7.852356+0 2.781989-2 9.440609+0 2.213826-2 1.161449+1 1.725636-2 1.513561+1 1.266891-2 2.018366+1 9.152060-3 2.691535+1 6.667413-3 3.672823+1 4.770856-3 5.559043+1 3.081874-3 9.015711+1 1.867791-3 1.584893+2 1.050043-3 3.162278+2 5.219780-4 6.309573+2 2.605502-4 5.011872+3 3.268625-5 1.000000+5 1.637700-6 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.747300-2 7.448300-4 1.000000+5 7.448300-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.747300-2 5.163200-3 1.000000+5 5.163200-3 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.747300-2 1.156497-2 1.000000+5 9.999999+4 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.684000-2 1.266295+4 1.760000-2 1.139800+4 1.920000-2 9.168500+3 2.137962-2 6.962100+3 2.371374-2 5.321700+3 2.722701-2 3.678800+3 3.198895-2 2.379000+3 4.027170-2 1.255000+3 5.011872-2 6.750300+2 6.237348-2 3.595900+2 7.943282-2 1.777800+2 1.258925-1 4.594400+1 1.698244-1 1.911129+1 2.113489-1 1.014500+1 2.511886-1 6.195133+0 2.917427-1 4.067754+0 3.349654-1 2.777723+0 3.845918-1 1.910998+0 4.365158-1 1.366259+0 4.954502-1 9.842573-1 5.559043-1 7.358635-1 6.237348-1 5.543277-1 6.839117-1 4.447667-1 7.673615-1 3.403563-1 8.609938-1 2.625069-1 9.549926-1 2.088708-1 1.022000+0 1.811025-1 1.122018+0 1.500234-1 1.230269+0 1.254384-1 1.364583+0 1.033875-1 1.621810+0 7.576740-2 1.840772+0 6.069948-2 2.089296+0 4.899117-2 2.398833+0 3.908640-2 2.754229+0 3.141677-2 3.198895+0 2.499103-2 3.715352+0 2.003107-2 4.315191+0 1.617331-2 5.069907+0 1.294170-2 6.025596+0 1.027027-2 7.161434+0 8.211638-3 8.810489+0 6.330099-3 1.083927+1 4.921371-3 1.380384+1 3.702359-3 1.678804+1 2.958195-3 2.187762+1 2.198326-3 3.019952+1 1.545890-3 4.216965+1 1.082448-3 6.456542+1 6.927136-4 1.109175+2 3.967238-4 2.213095+2 1.966077-4 4.415704+2 9.797450-5 1.757924+3 2.450726-5 1.000000+5 4.302200-7 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.684000-2 5.254000-4 1.000000+5 5.254000-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.684000-2 7.019900-3 1.000000+5 7.019900-3 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.684000-2 9.294700-3 1.000000+5 9.999999+4 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.421500-2 2.951824+4 1.438000-2 2.873779+4 1.566751-2 2.275596+4 1.972423-2 1.196478+4 2.213400-2 8.590983+3 2.730000-2 4.657800+3 3.467369-2 2.276994+3 4.315191-2 1.167086+3 5.308844-2 6.132129+2 6.531306-2 3.195162+2 8.413951-2 1.427946+2 1.548817-1 2.023132+1 1.927525-1 1.010575+1 2.238721-1 6.322643+0 2.600160-1 3.983432+0 2.985383-1 2.619800+0 3.388442-1 1.797327+0 3.801894-1 1.284859+0 4.265795-1 9.253177-1 4.731513-1 6.932406-1 5.248075-1 5.229643-1 5.821032-1 3.973788-1 6.456542-1 3.041679-1 7.161434-1 2.345634-1 7.943282-1 1.822968-1 8.709636-1 1.466901-1 9.440609-1 1.217365-1 1.000000+0 1.072052-1 1.071519+0 9.276822-2 1.161449+0 7.897759-2 1.258925+0 6.771208-2 1.396368+0 5.600477-2 1.737801+0 3.795918-2 1.972423+0 3.051873-2 2.264644+0 2.426790-2 2.600160+0 1.944280-2 3.000000+0 1.557200-2 3.467369+0 1.253089-2 4.027170+0 1.008404-2 4.731513+0 8.043400-3 5.623413+0 6.363707-3 6.683439+0 5.073162-3 8.128305+0 3.956733-3 9.660509+0 3.197264-3 1.188502+1 2.494249-3 1.531087+1 1.857147-3 2.018366+1 1.359367-3 2.660725+1 1.002767-3 3.630781+1 7.173464-4 5.495409+1 4.632920-4 8.810489+1 2.840696-4 1.500000+2 1.649500-4 2.985383+2 8.215863-5 5.956621+2 4.099955-5 4.731513+3 5.142857-6 1.000000+5 2.432500-7 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.421500-2 5.224800-4 1.000000+5 5.224800-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.421500-2 4.547800-3 1.000000+5 4.547800-3 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.421500-2 9.144720-3 1.000000+5 9.999999+4 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 4.285500-3 1.696361+4 4.731513-3 1.497157+4 5.011872-3 1.380624+4 5.432503-3 1.240036+4 5.800000-3 1.126348+4 6.500000-3 9.470460+3 7.079458-3 8.333571+3 7.585776-3 7.459860+3 9.332543-3 5.290250+3 1.047129-2 4.328098+3 1.202264-2 3.386036+3 1.412538-2 2.515398+3 1.584893-2 2.024051+3 1.862087-2 1.481815+3 2.213095-2 1.051011+3 2.650000-2 7.274780+2 3.162278-2 5.023144+2 3.715352-2 3.556149+2 4.415704-2 2.436408+2 5.188000-2 1.699293+2 6.095369-2 1.177045+2 7.328245-2 7.674436+1 8.609938-2 5.242448+1 1.047129-1 3.274187+1 1.318257-1 1.866966+1 1.621810-1 1.119400+1 2.540973-1 3.672198+0 3.162278-1 2.147023+0 3.758374-1 1.414566+0 4.415705-1 9.652027-1 5.069907-1 7.003342-1 5.821032-1 5.119318-1 6.606935-1 3.867591-1 7.498942-1 2.941999-1 8.609938-1 2.199087-1 9.549926-1 1.778720-1 1.122018+0 1.292914-1 1.273503+0 1.011768-1 1.445440+0 7.984352-2 1.621810+0 6.482910-2 1.840772+0 5.194427-2 2.089296+0 4.193299-2 2.398833+0 3.345111-2 2.754229+0 2.688135-2 3.162278+0 2.175371-2 3.672823+0 1.742641-2 4.265795+0 1.406240-2 5.011872+0 1.124655-2 5.956621+0 8.920935-3 7.079458+0 7.129066-3 8.709636+0 5.493122-3 1.071519+1 4.268762-3 1.348963+1 3.253544-3 1.621810+1 2.632043-3 2.113489+1 1.954068-3 2.818383+1 1.425335-3 3.801894+1 1.033487-3 5.821032+1 6.600831-4 9.885531+1 3.818457-4 1.972423+2 1.889914-4 3.935501+2 9.411719-5 1.566751+3 2.353131-5 4.954502+4 7.426499-7 1.000000+5 3.680600-7 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 4.285500-3 5.454200-4 1.000000+5 5.454200-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.285500-3 4.336700-5 1.000000+5 4.336700-5 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.285500-3 3.696713-3 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 3.991800-3 2.732348+4 4.135000-3 2.646820+4 4.190000-3 2.604040+4 4.300000-3 2.532280+4 4.800000-3 2.212480+4 5.069907-3 2.055136+4 5.688529-3 1.734748+4 6.237348-3 1.506507+4 6.606934-3 1.374130+4 7.000000-3 1.247612+4 8.317638-3 9.194157+3 8.912509-3 8.081871+3 1.040000-2 5.983940+3 1.135011-2 5.013336+3 1.318257-2 3.662527+3 1.450000-2 2.977840+3 1.659587-2 2.204106+3 1.900000-2 1.613786+3 2.113489-2 1.255287+3 2.426610-2 8.991710+2 2.818383-2 6.205300+2 3.273407-2 4.244329+2 3.801894-2 2.879398+2 4.466836-2 1.879962+2 5.248075-2 1.217944+2 6.237348-2 7.590793+1 7.585776-2 4.404974+1 9.549926-2 2.303073+1 1.927525-1 3.121489+0 2.398833-1 1.686515+0 2.851018-1 1.044726+0 3.311311-1 6.946688-1 3.801894-1 4.799181-1 4.365158-1 3.340569-1 4.954502-1 2.414540-1 5.559043-1 1.810033-1 6.237348-1 1.366469-1 6.998420-1 1.039374-1 7.762471-1 8.181523-2 8.709636-1 6.314831-2 9.440609-1 5.301471-2 1.023293+0 4.481338-2 1.122018+0 3.725674-2 1.250000+0 3.024288-2 1.396368+0 2.460734-2 1.640590+0 1.840674-2 1.862087+0 1.475680-2 2.113489+0 1.191691-2 2.426610+0 9.512280-3 2.786121+0 7.650114-3 3.235937+0 6.089024-3 3.758374+0 4.883373-3 4.365158+0 3.945006-3 5.128614+0 3.158383-3 6.095369+0 2.507829-3 7.244360+0 2.006001-3 8.912509+0 1.547117-3 1.109175+1 1.186893-3 1.445440+1 8.700115-4 1.927525+1 6.274839-4 2.540973+1 4.623148-4 3.507519+1 3.263348-4 5.188000+1 2.157596-4 7.943282+1 1.385931-4 1.303167+2 8.344313-5 2.600160+2 4.141158-5 5.188000+2 2.065238-5 4.120975+3 2.589250-6 1.000000+5 1.066500-7 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 3.991800-3 4.766300-4 1.000000+5 4.766300-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.991800-3 8.523800-5 1.000000+5 8.523800-5 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 3.991800-3 3.429932-3 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 3.398500-3 9.134105+4 3.590000-3 8.468373+4 4.027170-3 7.019149+4 4.300000-3 6.281000+4 5.011872-3 4.753409+4 5.559043-3 3.918405+4 5.956621-3 3.427308+4 7.161434-3 2.360634+4 7.762471-3 1.990398+4 9.120108-3 1.401333+4 1.000000-2 1.138356+4 1.150000-2 8.242360+3 1.300800-2 6.143086+3 1.462177-2 4.618848+3 1.678804-2 3.268184+3 1.905461-2 2.361255+3 2.150000-2 1.720688+3 2.454709-2 1.206906+3 2.818383-2 8.274521+2 3.235937-2 5.630382+2 3.758374-2 3.680436+2 4.365158-2 2.387262+2 5.069907-2 1.537281+2 6.025596-2 9.176541+1 7.161434-2 5.435718+1 8.709636-2 2.980286+1 1.148154-1 1.263739+1 1.757924-1 3.347682+0 2.213095-1 1.644531+0 2.600160-1 1.006880+0 3.000060-1 6.561312-1 3.427678-1 4.436963-1 3.890451-1 3.082612-1 4.365158-1 2.229817-1 4.897788-1 1.625155-1 5.432503-1 1.231165-1 6.025596-1 9.391994-2 6.683439-1 7.218216-2 7.413102-1 5.588112-2 8.609938-1 3.895825-2 9.225714-1 3.317965-2 9.772372-1 2.919479-2 1.047129+0 2.524184-2 1.135011+0 2.145243-2 1.244515+0 1.795167-2 1.380384+0 1.482722-2 1.717908+0 1.003886-2 1.949845+0 8.065899-3 2.213095+0 6.531088-3 2.540973+0 5.226175-3 2.917427+0 4.212290-3 3.388442+0 3.360420-3 3.935501+0 2.701168-3 4.623810+0 2.152153-3 5.495409+0 1.700886-3 6.531306+0 1.354635-3 7.852356+0 1.070948-3 9.440609+0 8.522232-4 1.161449+1 6.642977-4 1.513561+1 4.877031-4 2.018366+1 3.523179-4 2.691535+1 2.566640-4 3.672823+1 1.836583-4 5.559043+1 1.186403-4 8.912509+1 7.275860-5 1.548817+2 4.138088-5 3.090295+2 2.056599-5 6.165950+2 1.026409-5 4.897788+3 1.287651-6 1.000000+5 6.304500-8 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 3.398500-3 4.206500-4 1.000000+5 4.206500-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.398500-3 2.769900-5 1.000000+5 2.769900-5 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.398500-3 2.950151-3 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 2.911400-3 2.582027+5 2.995000-3 2.411132+5 3.030000-3 2.304436+5 3.050000-3 2.257912+5 3.090295-3 2.186864+5 3.150000-3 2.080240+5 3.311311-3 1.837782+5 3.715352-3 1.354316+5 4.168694-3 9.898375+4 4.677351-3 7.177682+4 5.188000-3 5.333342+4 5.888437-3 3.675463+4 6.382635-3 2.882533+4 7.500000-3 1.759568+4 8.609938-3 1.139631+4 9.549926-3 8.190485+3 1.135011-2 4.664353+3 1.288250-2 3.059775+3 1.450000-2 2.053028+3 1.698244-2 1.193558+3 2.000000-2 6.740880+2 2.344229-2 3.836183+2 2.754229-2 2.147097+2 3.235937-2 1.192768+2 3.845918-2 6.307063+1 4.677351-2 3.039376+1 5.888437-2 1.277152+1 1.122019-1 1.109683+0 1.396368-1 4.877305-1 1.678804-1 2.457406-1 1.949845-1 1.417208-1 2.238721-1 8.590582-2 2.570396-1 5.242410-2 2.884032-1 3.498165-2 3.162278-1 2.546234-2 3.548134-1 1.724690-2 3.981072-1 1.177161-2 4.415705-1 8.397688-3 4.897788-1 6.032934-3 5.370318-1 4.526282-3 5.888437-1 3.417942-3 6.456542-1 2.596903-3 7.079458-1 1.987066-3 7.673615-1 1.582545-3 8.609938-1 1.149913-3 9.120108-1 9.871647-4 9.549926-1 8.791118-4 1.000000+0 7.880353-4 1.047129+0 7.112534-4 1.109175+0 6.301474-4 1.174898+0 5.620527-4 1.258925+0 4.934795-4 1.364583+0 4.269313-4 1.531087+0 3.494389-4 1.819701+0 2.576277-4 2.041738+0 2.116796-4 2.344229+0 1.686535-4 2.691535+0 1.353697-4 3.090295+0 1.094222-4 3.589219+0 8.755101-5 4.168694+0 7.057179-5 4.897788+0 5.638170-5 5.821032+0 4.467729-5 6.918310+0 3.566884-5 8.511380+0 2.745957-5 1.035142+1 2.161655-5 1.273503+1 1.690520-5 1.566751+1 1.329809-5 2.065380+1 9.738538-6 2.754229+1 7.099289-6 3.758374+1 5.082525-6 5.754399+1 3.245372-6 9.660509+1 1.899370-6 1.927525+2 9.398037-7 3.845918+2 4.679300-7 1.531087+3 1.169798-7 4.841724+4 3.691800-9 1.000000+5 1.788000-9 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 2.911400-3 3.119700-4 1.000000+5 3.119700-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.911400-3 9.664100-5 1.000000+5 9.664100-5 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 2.911400-3 2.502789-3 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.786200-3 4.043130+5 2.857000-3 3.787650+5 2.875000-3 3.733782+5 2.890000-3 3.674190+5 2.910000-3 3.579522+5 2.933000-3 3.500700+5 2.970000-3 3.393516+5 3.019952-3 3.244785+5 3.126079-3 2.972906+5 3.427678-3 2.325328+5 3.845918-3 1.696055+5 4.315191-3 1.226938+5 4.731513-3 9.409481+4 5.248075-3 6.932613+4 5.900000-3 4.873116+4 7.161434-3 2.671221+4 7.852356-3 1.992701+4 9.120108-3 1.228594+4 1.047129-2 7.781377+3 1.174898-2 5.284647+3 1.350000-2 3.286836+3 1.548817-2 2.037773+3 1.778279-2 1.250086+3 2.041738-2 7.611206+2 2.344229-2 4.601658+2 2.691535-2 2.763763+2 3.126079-2 1.580193+2 3.672823-2 8.590305+1 4.415704-2 4.246999+1 5.308844-2 2.084749+1 7.079458-2 6.787605+0 1.083927-1 1.285389+0 1.333521-1 5.757276-1 1.584893-1 2.969378-1 1.819701-1 1.759664-1 2.089296-1 1.050626-1 2.344229-1 6.882748-2 2.600160-1 4.735358-2 2.884032-1 3.282133-2 3.162278-1 2.385725-2 3.467369-1 1.745907-2 3.801894-1 1.286206-2 4.216965-1 9.189673-3 4.623810-1 6.864249-3 5.069907-1 5.166108-3 5.559043-1 3.919867-3 6.095369-1 2.997033-3 6.683439-1 2.307824-3 7.244360-1 1.848459-3 7.852356-1 1.490486-3 8.609938-1 1.170919-3 9.120108-1 1.013511-3 9.660509-1 8.835638-4 1.011579+0 7.965526-4 1.071519+0 7.044819-4 1.148154+0 6.125485-4 1.230269+0 5.363104-4 1.333521+0 4.624322-4 1.798871+0 2.724955-4 2.018366+0 2.237668-4 2.317395+0 1.781546-4 2.660725+0 1.429209-4 3.090295+0 1.134756-4 3.589219+0 9.079591-5 4.168694+0 7.318872-5 4.897788+0 5.847295-5 5.821032+0 4.633336-5 6.918310+0 3.699156-5 8.511380+0 2.847750-5 1.035142+1 2.241823-5 1.273503+1 1.753209-5 1.566751+1 1.379079-5 2.065380+1 1.010015-5 2.754229+1 7.362473-6 3.758374+1 5.270978-6 5.754399+1 3.365727-6 9.660509+1 1.969727-6 1.927525+2 9.746585-7 3.845918+2 4.852826-7 1.531087+3 1.213196-7 4.841724+4 3.828730-9 1.000000+5 1.854300-9 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.786200-3 3.098800-4 1.000000+5 3.098800-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.786200-3 1.133600-7 1.000000+5 1.133600-7 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.786200-3 2.476207-3 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.021400-3 3.769361+4 1.110000-3 3.600620+4 1.130000-3 3.547320+4 1.210000-3 3.331560+4 1.470000-3 2.721460+4 1.515000-3 2.631780+4 1.840772-3 2.083717+4 2.000000-3 1.870748+4 2.400000-3 1.459884+4 2.660725-3 1.259119+4 3.150000-3 9.794700+3 3.672823-3 7.713214+3 4.168694-3 6.297562+3 4.954502-3 4.732825+3 5.888437-3 3.524144+3 7.000000-3 2.600120+3 8.317638-3 1.904376+3 1.000000-2 1.353904+3 1.188502-2 9.758111+2 1.412538-2 6.983643+2 1.698244-2 4.851021+2 2.018366-2 3.421961+2 2.400000-2 2.394420+2 2.851018-2 1.666661+2 3.388442-2 1.150627+2 4.027170-2 7.883306+1 4.841724-2 5.225629+1 5.754399-2 3.525907+1 6.918310-2 2.299788+1 8.413951-2 1.449204+1 1.000000-1 9.579447+0 1.258925-1 5.460600+0 1.819701-1 2.198581+0 2.722701-1 8.103783-1 3.349654-1 4.883938-1 3.981072-1 3.225883-1 4.623810-1 2.268729-1 5.370318-1 1.607534-1 6.095369-1 1.209050-1 6.998420-1 8.931489-2 8.000000-1 6.713414-2 9.015711-1 5.232134-2 1.000000+0 4.244208-2 1.202264+0 2.956405-2 1.333521+0 2.426450-2 1.513561+0 1.920355-2 1.717908+0 1.532223-2 1.949845+0 1.231892-2 2.238721+0 9.788856-3 2.570396+0 7.837966-3 2.951209+0 6.321274-3 3.427678+0 5.045980-3 4.000000+0 4.030900-3 4.677351+0 3.235231-3 5.559043+0 2.558264-3 6.606934+0 2.038468-3 8.000000+0 1.598000-3 9.549926+0 1.283536-3 1.174898+1 1.000928-3 1.513561+1 7.449294-4 2.018366+1 5.381324-4 2.691535+1 3.920340-4 3.672823+1 2.805213-4 5.559043+1 1.812121-4 9.015711+1 1.098218-4 1.603245+2 6.102428-5 3.198895+2 3.033774-5 6.382635+2 1.514396-5 5.069907+3 1.899887-6 1.000000+5 9.629600-8 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.021400-3 3.125700-4 1.000000+5 3.125700-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.021400-3 2.582800-7 1.000000+5 2.582800-7 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.021400-3 7.085717-4 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 8.906500-4 3.340191+4 9.930000-4 3.307763+4 1.040000-3 3.289181+4 1.161449-3 3.186267+4 1.230269-3 3.110582+4 1.318257-3 3.002146+4 1.412538-3 2.882501+4 1.531087-3 2.728195+4 1.621810-3 2.613301+4 1.737801-3 2.463170+4 1.927525-3 2.231542+4 2.089296-3 2.055441+4 2.238721-3 1.903787+4 2.511886-3 1.659364+4 2.754229-3 1.476822+4 3.019952-3 1.304213+4 3.349654-3 1.127322+4 3.672823-3 9.834416+3 4.150000-3 8.141360+3 4.623810-3 6.831520+3 5.188000-3 5.628530+3 5.888437-3 4.507095+3 6.531306-3 3.733708+3 7.328245-3 3.009909+3 8.317638-3 2.355743+3 9.440609-3 1.829283+3 1.059254-2 1.443952+3 1.190000-2 1.129828+3 1.350000-2 8.600800+2 1.531087-2 6.505672+2 1.737801-2 4.878222+2 1.972423-2 3.633385+2 2.264644-2 2.614772+2 2.600160-2 1.867102+2 2.985383-2 1.323844+2 3.467369-2 9.048733+1 4.027170-2 6.137926+1 4.731513-2 4.009624+1 5.559043-2 2.600025+1 6.606934-2 1.622472+1 8.035261-2 9.434307+0 1.011580-1 4.944551+0 1.972423-1 7.464281-1 2.540973-1 3.684657-1 3.000060-1 2.334290-1 3.467369-1 1.579568-1 4.000000-1 1.082018-1 4.570882-1 7.654087-2 5.188000-1 5.552206-2 5.821032-1 4.176530-2 6.531306-1 3.164209-2 7.328245-1 2.415557-2 8.317638-1 1.810352-2 9.120108-1 1.476889-2 9.885531-1 1.244385-2 1.083927+0 1.031741-2 1.202264+0 8.422933-3 1.333521+0 6.926685-3 1.513561+0 5.498055-3 1.737801+0 4.300512-3 1.972423+0 3.458932-3 2.264644+0 2.750341-3 2.600160+0 2.203516-3 3.000000+0 1.764900-3 3.467369+0 1.420220-3 4.027170+0 1.142898-3 4.731513+0 9.116213-4 5.623413+0 7.212495-4 6.683439+0 5.749856-4 8.128305+0 4.484492-4 9.660509+0 3.623748-4 1.174898+1 2.865659-4 1.513561+1 2.132729-4 2.018366+1 1.540605-4 2.660725+1 1.136539-4 3.630781+1 8.130401-5 5.432503+1 5.314533-5 8.609938+1 3.296941-5 1.428894+2 1.964076-5 2.851018+2 9.754460-6 5.688529+2 4.866756-6 4.518559+3 6.103779-7 1.000000+5 2.756900-8 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 8.906500-4 2.809700-4 1.000000+5 2.809700-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 8.906500-4 2.233900-7 1.000000+5 2.233900-7 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 8.906500-4 6.094566-4 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 7.417100-4 1.920100+5 7.700000-4 1.864294+5 7.720000-4 1.856369+5 7.943282-4 1.813398+5 8.050000-4 1.798768+5 8.280000-4 1.749152+5 8.511380-4 1.712651+5 9.885531-4 1.493353+5 1.096478-3 1.337724+5 1.190000-3 1.219716+5 1.348963-3 1.049164+5 1.462177-3 9.448973+4 1.678804-3 7.830741+4 1.840772-3 6.862721+4 2.113489-3 5.571510+4 2.317395-3 4.822980+4 2.660725-3 3.847746+4 2.951209-3 3.227755+4 3.349654-3 2.584373+4 3.758374-3 2.096587+4 4.216965-3 1.690313+4 4.800000-3 1.316256+4 5.432503-3 1.028597+4 6.095369-3 8.126130+3 6.918310-3 6.225873+3 7.852356-3 4.735161+3 9.015711-3 3.483639+3 1.035142-2 2.541009+3 1.174898-2 1.889022+3 1.333521-2 1.394466+3 1.513561-2 1.022348+3 1.717908-2 7.444360+2 1.949845-2 5.384213+2 2.238721-2 3.751920+2 2.570396-2 2.594196+2 2.951209-2 1.780218+2 3.388442-2 1.212745+2 3.935501-2 7.939602+1 4.570882-2 5.158472+1 5.370318-2 3.216612+1 6.382635-2 1.923307+1 7.673615-2 1.102190+1 9.440609-2 5.843321+0 1.258925-1 2.397885+0 2.018366-1 5.551996-1 2.317395-1 3.595281-1 2.511886-1 2.806421-1 2.691535-1 2.283054-1 2.851018-1 1.932841-1 3.019952-1 1.643859-1 3.427678-1 1.134706-1 3.890451-1 7.890742-2 4.365158-1 5.711954-2 4.897788-1 4.165539-2 5.432503-1 3.156986-2 6.025596-1 2.408963-2 6.683439-1 1.851142-2 7.413102-1 1.432974-2 8.609938-1 1.000160-2 9.225714-1 8.526050-3 9.772372-1 7.507018-3 1.047129+0 6.493920-3 1.135011+0 5.520510-3 1.244515+0 4.619577-3 1.380384+0 3.814495-3 1.698244+0 2.634524-3 1.927525+0 2.115466-3 2.187762+0 1.711896-3 2.511886+0 1.369030-3 2.884032+0 1.102775-3 3.349654+0 8.792300-4 3.890451+0 7.063472-4 4.570882+0 5.624587-4 5.432503+0 4.442921-4 6.456542+0 3.536692-4 7.762471+0 2.794726-4 9.332543+0 2.222955-4 1.148154+1 1.732023-4 1.500000+1 1.267400-4 2.000000+1 9.154600-5 2.630268+1 6.769080-5 3.589219+1 4.841150-5 5.370318+1 3.163750-5 8.413951+1 1.985709-5 1.380384+2 1.196511-5 2.754229+2 5.940751-6 5.495409+2 2.963537-6 4.365158+3 3.716352-7 1.000000+5 1.621500-8 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 7.417100-4 2.503300-4 1.000000+5 2.503300-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 7.417100-4 1.779900-7 1.000000+5 1.779900-7 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 7.417100-4 4.912020-4 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 5.270800-4 1.170855+5 5.302000-4 1.251259+5 5.370318-4 1.419740+5 5.435000-4 1.554315+5 5.559043-4 1.705918+5 5.700000-4 1.851606+5 5.800000-4 1.927462+5 5.950000-4 1.994588+5 6.200000-4 2.071836+5 6.456542-4 2.128400+5 6.850000-4 2.205456+5 7.080000-4 2.237272+5 7.400000-4 2.259572+5 7.762471-4 2.269432+5 8.128305-4 2.262391+5 8.500000-4 2.240284+5 8.912509-4 2.201511+5 9.350000-4 2.149296+5 9.930000-4 2.067948+5 1.035142-3 2.003083+5 1.096478-3 1.902127+5 1.174898-3 1.775496+5 1.250000-3 1.657088+5 1.333521-3 1.528920+5 1.445440-3 1.370980+5 1.548817-3 1.240621+5 1.659587-3 1.114428+5 1.800000-3 9.749480+4 1.950000-3 8.490720+4 2.113489-3 7.328419+4 2.317395-3 6.146283+4 2.511886-3 5.232807+4 2.786121-3 4.216704+4 3.019952-3 3.541645+4 3.349654-3 2.806202+4 3.650000-3 2.298392+4 4.027170-3 1.815726+4 4.415704-3 1.445872+4 4.900000-3 1.109752+4 5.495409-3 8.216016+3 6.095369-3 6.212716+3 6.760830-3 4.665417+3 7.500000-3 3.478404+3 8.413951-3 2.492592+3 9.500000-3 1.738336+3 1.071519-2 1.205880+3 1.202264-2 8.436238+2 1.350000-2 5.845760+2 1.513561-2 4.043428+2 1.698244-2 2.772357+2 1.927525-2 1.816501+2 2.187762-2 1.181641+2 2.511886-2 7.335768+1 2.884032-2 4.520517+1 3.349654-2 2.655009+1 3.935501-2 1.485025+1 4.677351-2 7.906344+0 5.688529-2 3.839848+0 7.498942-2 1.371610+0 1.216186-1 2.247406-1 1.584893-1 8.413802-2 1.819701-1 5.065801-2 2.187762-1 2.604905-2 2.483133-1 1.658319-2 2.818383-1 1.063539-2 3.126079-1 7.444680-3 3.507519-1 5.047487-3 3.935501-1 3.447347-3 4.415705-1 2.370335-3 4.897788-1 1.704340-3 5.370318-1 1.279958-3 5.888437-1 9.676711-4 6.456542-1 7.365296-4 7.079458-1 5.646236-4 8.128305-1 3.837810-4 8.609938-1 3.270589-4 9.120108-1 2.805519-4 9.549926-1 2.496757-4 1.000000+0 2.236646-4 1.047129+0 2.017615-4 1.109175+0 1.786702-4 1.174898+0 1.593241-4 1.258925+0 1.398868-4 1.364583+0 1.210802-4 1.531087+0 9.918219-5 1.819701+0 7.312962-5 2.041738+0 6.008167-5 2.344229+0 4.786752-5 2.691535+0 3.842125-5 3.090295+0 3.105745-5 3.589219+0 2.485039-5 4.168694+0 2.003137-5 4.897788+0 1.600356-5 5.821032+0 1.268139-5 6.918310+0 1.012416-5 8.511380+0 7.794016-6 1.035142+1 6.135669-6 1.273503+1 4.798400-6 1.566751+1 3.774537-6 2.041738+1 2.799941-6 2.722701+1 2.040389-6 3.715352+1 1.460411-6 5.623413+1 9.435957-7 9.225714+1 5.652445-7 1.698244+2 3.033446-7 3.388442+2 1.508788-7 6.760830+2 7.533433-8 5.370318+3 9.451722-9 1.000000+5 5.07500-10 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 5.270800-4 1.939600-4 1.000000+5 1.939600-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 5.270800-4 1.136000-7 1.000000+5 1.136000-7 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 5.270800-4 3.330064-4 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 4.992800-4 1.637776+5 5.007000-4 1.744659+5 5.052000-4 2.059282+5 5.100000-4 2.346541+5 5.155000-4 2.570467+5 5.220000-4 2.740071+5 5.230000-4 2.759950+5 5.370318-4 2.949054+5 5.400000-4 2.971237+5 5.580000-4 3.201693+5 5.956621-4 3.522699+5 6.050000-4 3.559992+5 6.606934-4 3.710969+5 6.850000-4 3.747816+5 7.161434-4 3.761521+5 7.500000-4 3.753066+5 7.800000-4 3.725250+5 8.200000-4 3.664668+5 8.609938-4 3.581368+5 9.015711-4 3.482397+5 9.549926-4 3.337643+5 1.000000-3 3.208008+5 1.071519-3 2.995511+5 1.150000-3 2.772426+5 1.216186-3 2.591547+5 1.300000-3 2.372430+5 1.412538-3 2.106662+5 1.513561-3 1.896564+5 1.621810-3 1.695144+5 1.757924-3 1.477141+5 1.905461-3 1.278193+5 2.070000-3 1.093086+5 2.264644-3 9.159319+4 2.454709-3 7.760652+4 2.691535-3 6.378468+4 2.917427-3 5.337410+4 3.235937-3 4.211589+4 3.548134-3 3.385033+4 3.900000-3 2.687460+4 4.319000-3 2.077573+4 4.731513-3 1.640265+4 5.300000-3 1.212426+4 5.956621-3 8.797747+3 6.683439-3 6.355710+3 7.328245-3 4.869447+3 8.035261-3 3.712043+3 9.015711-3 2.624176+3 1.011579-2 1.840485+3 1.135011-2 1.280888+3 1.273503-2 8.848897+2 1.420000-2 6.196380+2 1.603245-2 4.136867+2 1.798871-2 2.799171+2 2.041738-2 1.807404+2 2.317395-2 1.158661+2 2.660725-2 7.077503+1 3.054921-2 4.290337+1 3.548134-2 2.474870+1 4.168694-2 1.357516+1 4.954502-2 7.077051+0 6.025596-2 3.354794+0 8.222426-2 1.013963+0 1.174898-1 2.559134-1 1.428894-1 1.210367-1 1.698244-1 6.285442-2 1.905461-1 4.087554-2 2.113489-1 2.794564-2 2.426610-1 1.688000-2 2.691535-1 1.164522-2 2.985383-1 8.096269-3 3.273407-1 5.905445-3 3.589219-1 4.337905-3 3.935501-1 3.208345-3 4.315191-1 2.387571-3 4.731513-1 1.789239-3 5.128614-1 1.398872-3 5.623413-1 1.063832-3 6.237348-1 7.884263-4 6.839117-1 6.084444-4 7.413102-1 4.883228-4 8.222427-1 3.713904-4 8.709636-1 3.203079-4 9.225714-1 2.779312-4 9.772372-1 2.429197-4 1.023293+0 2.194329-4 1.083927+0 1.944196-4 1.161449+0 1.693412-4 1.258925+0 1.452875-4 1.380384+0 1.228515-4 1.778279+0 7.848063-5 2.000000+0 6.415113-5 2.290868+0 5.124574-5 2.630268+0 4.108178-5 3.019952+0 3.317002-5 3.507519+0 2.650876-5 4.073803+0 2.134415-5 4.786301+0 1.703455-5 5.688529+0 1.348412-5 6.760830+0 1.075480-5 8.222427+0 8.391835-6 9.772372+0 6.783961-6 1.188502+1 5.366856-6 1.531087+1 3.995941-6 2.018366+1 2.924817-6 2.691535+1 2.130806-6 3.672823+1 1.524637-6 5.559043+1 9.849120-7 9.015711+1 5.969066-7 1.603245+2 3.316814-7 3.198895+2 1.648925-7 6.382635+2 8.230972-8 5.069907+3 1.032637-8 1.000000+5 5.23380-10 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 4.992800-4 1.866700-4 1.000000+5 1.866700-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 4.992800-4 3.889200-8 1.000000+5 3.889200-8 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 4.992800-4 3.125711-4 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 2.179300-4 1.038642+5 2.179900-4 1.056666+5 2.182700-4 1.117032+5 2.185000-4 1.161276+5 2.187000-4 1.196868+5 2.190000-4 1.243890+5 2.192000-4 1.271268+5 2.195000-4 1.306854+5 2.198000-4 1.337118+5 2.202000-4 1.368540+5 2.206000-4 1.391550+5 2.211000-4 1.410918+5 2.216500-4 1.422546+5 2.222000-4 1.425816+5 2.230000-4 1.420170+5 2.241000-4 1.400112+5 2.260000-4 1.352226+5 2.290868-4 1.275090+5 2.313000-4 1.231224+5 2.327000-4 1.209696+5 2.344229-4 1.190011+5 2.358000-4 1.180008+5 2.373000-4 1.174728+5 2.390000-4 1.176198+5 2.405000-4 1.184166+5 2.420000-4 1.198602+5 2.435000-4 1.219716+5 2.450000-4 1.247610+5 2.465000-4 1.282422+5 2.485000-4 1.339632+5 2.507000-4 1.416858+5 2.530000-4 1.513488+5 2.550000-4 1.610622+5 2.580000-4 1.779168+5 2.615000-4 2.010624+5 2.661100-4 2.376260+5 2.800000-4 3.942918+5 2.851018-4 4.693934+5 2.890000-4 5.319066+5 2.930000-4 5.995938+5 2.965000-4 6.609060+5 3.000000-4 7.233840+5 3.040000-4 7.953180+5 3.080000-4 8.673180+5 3.115000-4 9.298860+5 3.162278-4 1.013315+6 3.200000-4 1.078830+6 3.240000-4 1.146684+6 3.280000-4 1.213038+6 3.335000-4 1.301052+6 3.390000-4 1.384434+6 3.450000-4 1.468764+6 3.507519-4 1.542675+6 3.550000-4 1.592304+6 3.600000-4 1.645386+6 3.672823-4 1.712682+6 3.758374-4 1.777108+6 3.845918-4 1.829391+6 3.935501-4 1.871132+6 4.030000-4 1.904244+6 4.150000-4 1.931340+6 4.280000-4 1.943964+6 4.390000-4 1.942266+6 4.518559-4 1.928911+6 4.677351-4 1.898783+6 4.850000-4 1.855398+6 5.069907-4 1.789957+6 5.248075-4 1.730920+6 5.432503-4 1.665310+6 5.688529-4 1.570065+6 6.000000-4 1.454718+6 6.350000-4 1.331220+6 6.700000-4 1.214586+6 7.079458-4 1.097246+6 7.500000-4 9.797880+5 8.000000-4 8.575980+5 8.511380-4 7.491750+5 9.120108-4 6.394843+5 9.850000-4 5.320698+5 1.059254-3 4.438204+5 1.150000-3 3.587664+5 1.244515-3 2.903828+5 1.364583-3 2.250183+5 1.479108-3 1.788468+5 1.621810-3 1.365413+5 1.778279-3 1.035031+5 1.950000-3 7.787340+4 2.137962-3 5.823498+4 2.371374-3 4.166015+4 2.650000-3 2.882856+4 2.917427-3 2.081345+4 3.198895-3 1.514843+4 3.548134-3 1.052426+4 4.000000-3 6.846000+3 4.518559-3 4.380253+3 5.069907-3 2.849491+3 5.623413-3 1.922060+3 6.237348-3 1.288428+3 6.918310-3 8.585603+2 7.852356-3 5.187870+2 8.810489-3 3.257387+2 1.000000-2 1.938030+2 1.135011-2 1.144548+2 1.288250-2 6.710500+1 1.462177-2 3.906640+1 1.659587-2 2.258071+1 1.905461-2 1.232738+1 2.213095-2 6.348798+0 2.600160-2 3.082781+0 3.162278-2 1.271264+0 3.935501-2 4.684984-1 5.128614-2 1.387929-1 8.222426-2 1.576594-2 1.011580-1 6.108252-3 1.202264-1 2.792480-3 1.396368-1 1.426616-3 1.621810-1 7.341994-4 1.840772-1 4.213524-4 2.137962-1 2.204200-4 2.371374-1 1.416723-4 2.600160-1 9.629531-5 2.818383-1 6.913153-5 3.054921-1 4.996001-5 3.311311-1 3.637915-5 3.630781-1 2.551244-5 4.365158-1 1.273011-5 4.841724-1 8.667757-6 5.308844-1 6.203026-6 5.754399-1 4.657977-6 6.309573-1 3.381735-6 6.760830-1 2.676851-6 7.244360-1 2.133982-6 7.673615-1 1.777896-6 8.709636-1 1.201069-6 9.120108-1 1.046968-6 9.440609-1 9.486450-7 9.772372-1 8.637334-7 1.011579+0 7.911257-7 1.047129+0 7.287328-7 1.096478+0 6.580014-7 1.148154+0 5.984884-7 1.202264+0 5.476736-7 1.288250+0 4.833408-7 1.396368+0 4.211937-7 1.513561+0 3.684927-7 1.883649+0 2.507617-7 2.089296+0 2.104061-7 2.398833+0 1.678438-7 2.754229+0 1.348796-7 3.198895+0 1.072758-7 3.715352+0 8.598559-8 4.315191+0 6.942603-8 5.069907+0 5.555467-8 6.025596+0 4.408914-8 7.161434+0 3.525026-8 8.810489+0 2.717341-8 1.096478+1 2.083669-8 1.412538+1 1.547358-8 1.778279+1 1.189614-8 2.317395+1 8.856095-9 3.198895+1 6.237056-9 4.570882+1 4.267827-9 6.918310+1 2.768081-9 1.174898+2 1.605799-9 2.344229+2 7.96245-10 4.677351+2 3.96897-10 1.862087+3 9.93040-11 1.000000+5 1.84680-12 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 2.179300-4 1.109100-4 1.000000+5 1.109100-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 2.179300-4 1.175200-9 1.000000+5 1.175200-9 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 2.179300-4 1.070188-4 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 2.112000-4 1.288280+5 2.112900-4 1.319288+5 2.115000-4 1.379208+5 2.117000-4 1.432824+5 2.119500-4 1.494264+5 2.123000-4 1.570664+5 2.126000-4 1.627888+5 2.129000-4 1.677544+5 2.133000-4 1.733696+5 2.137000-4 1.778616+5 2.142000-4 1.821008+5 2.147000-4 1.850792+5 2.153000-4 1.873104+5 2.160000-4 1.884616+5 2.168300-4 1.883563+5 2.175000-4 1.874728+5 2.190000-4 1.840224+5 2.238721-4 1.704913+5 2.260000-4 1.660368+5 2.280000-4 1.631416+5 2.295000-4 1.618632+5 2.308000-4 1.614064+5 2.323000-4 1.616640+5 2.340000-4 1.630144+5 2.355000-4 1.651792+5 2.371374-4 1.686228+5 2.385000-4 1.723680+5 2.400000-4 1.774360+5 2.419800-4 1.856481+5 2.442000-4 1.969176+5 2.465000-4 2.108704+5 2.490000-4 2.286352+5 2.515000-4 2.490944+5 2.550000-4 2.823296+5 2.600160-4 3.397627+5 2.730000-4 5.475944+5 2.780000-4 6.501824+5 2.818383-4 7.358792+5 2.851018-4 8.124137+5 2.890000-4 9.069760+5 2.930000-4 1.006112+6 2.965000-4 1.093576+6 3.000000-4 1.181000+6 3.040000-4 1.280144+6 3.080000-4 1.377992+6 3.130000-4 1.497880+6 3.180000-4 1.614520+6 3.240000-4 1.749120+6 3.300000-4 1.876496+6 3.350000-4 1.975912+6 3.410000-4 2.085824+6 3.470000-4 2.184488+6 3.530000-4 2.271360+6 3.600000-4 2.358120+6 3.680000-4 2.439552+6 3.758374-4 2.503373+6 3.850000-4 2.561224+6 3.935501-4 2.601421+6 4.050000-4 2.637096+6 4.168694-4 2.654157+6 4.280000-4 2.653424+6 4.415704-4 2.633838+6 4.570882-4 2.592286+6 4.731513-4 2.535022+6 4.930000-4 2.452224+6 5.150000-4 2.349912+6 5.370318-4 2.239397+6 5.623413-4 2.107534+6 5.900000-4 1.964712+6 6.237348-4 1.798855+6 6.600000-4 1.631976+6 7.000000-4 1.462136+6 7.413102-4 1.305198+6 7.852356-4 1.157652+6 8.317638-4 1.020777+6 8.912509-4 8.715556+5 9.549926-4 7.390101+5 1.030000-3 6.123744+5 1.110000-3 5.049096+5 1.202264-3 4.080144+5 1.303167-3 3.268459+5 1.428894-3 2.516351+5 1.548817-3 1.989162+5 1.698244-3 1.509636+5 1.862087-3 1.137632+5 2.070000-3 8.150640+4 2.317395-3 5.655209+4 2.540973-3 4.166686+4 2.786121-3 3.052462+4 3.090295-3 2.135328+4 3.500000-3 1.376760+4 3.935501-3 9.021322+3 4.415704-3 5.907059+3 4.954502-3 3.836084+3 5.500000-3 2.575168+3 6.100000-3 1.723728+3 6.760830-3 1.150285+3 7.585776-3 7.259895+2 8.609938-3 4.341702+2 9.772372-3 2.576049+2 1.109175-2 1.516450+2 1.258925-2 8.859240+1 1.428894-2 5.137744+1 1.621810-2 2.958083+1 1.862087-2 1.607394+1 2.137962-2 8.669106+0 2.483133-2 4.407208+0 2.951209-2 2.003063+0 3.589219-2 8.132433-1 4.518559-2 2.793200-1 7.498942-2 2.618787-2 9.772372-2 7.629723-3 1.109175-1 4.086508-3 1.135011-1 3.662245-3 1.188502-1 2.962777-3 1.258925-1 2.290075-3 1.380384-1 1.534485-3 1.659587-1 6.761840-4 1.883649-1 3.873025-4 2.089296-1 2.470020-4 2.299100-1 1.640890-4 2.511886-1 1.132481-4 2.754229-1 7.754217-5 3.000000-1 5.494938-5 3.273407-1 3.905200-5 3.589219-1 2.743482-5 3.981072-1 1.859043-5 4.365158-1 1.318158-5 4.677351-1 1.024547-5 5.011872-1 8.017619-6 5.370318-1 6.338698-6 5.754399-1 5.045705-6 6.237348-1 3.894803-6 6.760830-1 3.027890-6 7.328245-1 2.371226-6 7.943282-1 1.868965-6 8.609938-1 1.484133-6 9.440609-1 1.148938-6 9.772372-1 1.047989-6 1.011579+0 9.610086-7 1.047129+0 8.859799-7 1.096478+0 8.005338-7 1.148154+0 7.283416-7 1.216186+0 6.523606-7 1.303167+0 5.761617-7 1.412538+0 5.021641-7 1.513561+0 4.474898-7 1.862087+0 3.106432-7 2.065380+0 2.604634-7 2.371374+0 2.076430-7 2.722701+0 1.667642-7 3.162278+0 1.325544-7 3.672823+0 1.061850-7 4.265795+0 8.568796-8 5.011872+0 6.853187-8 5.956621+0 5.436057-8 7.079458+0 4.344143-8 8.709636+0 3.347206-8 1.071519+1 2.601125-8 1.348963+1 1.982552-8 1.603245+1 1.625049-8 2.065380+1 1.221585-8 2.754229+1 8.904914-9 3.758374+1 6.375242-9 5.754399+1 4.070897-9 9.660509+1 2.382413-9 1.927525+2 1.178893-9 3.845918+2 5.86953-10 1.531087+3 1.46741-10 4.841724+4 4.63082-12 1.000000+5 2.24280-12 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 2.112000-4 1.086500-4 1.000000+5 1.086500-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 2.112000-4 4.147600-8 1.000000+5 4.147600-8 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 2.112000-4 1.025085-4 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 1.962700-4 4.842960+4 1.968000-4 4.895480+4 1.980000-4 5.064140+4 1.990000-4 5.184200+4 2.005000-4 5.336900+4 2.023900-4 5.489645+4 2.041738-4 5.607015+4 2.065380-4 5.727119+4 2.090000-4 5.816400+4 2.120000-4 5.887200+4 2.150000-4 5.924020+4 2.190000-4 5.932480+4 2.264644-4 5.880495+4 2.900000-4 5.302229+4 3.311311-4 4.896552+4 3.700000-4 4.532060+4 3.981072-4 4.277621+4 4.315191-4 3.982417+4 4.850000-4 3.558800+4 5.308844-4 3.239899+4 5.888437-4 2.884696+4 6.606934-4 2.518890+4 7.413102-4 2.182134+4 8.500000-4 1.826038+4 9.885531-4 1.486144+4 1.150000-3 1.200122+4 1.350000-3 9.498500+3 1.621810-3 7.212861+3 1.949845-3 5.429817+3 2.371374-3 3.985874+3 2.884032-3 2.902941+3 3.507519-3 2.097359+3 4.216965-3 1.532835+3 5.069907-3 1.111885+3 6.095369-3 8.006542+2 7.413102-3 5.603674+2 9.000000-3 3.903660+2 1.083927-2 2.740463+2 1.303167-2 1.916382+2 1.584893-2 1.300274+2 1.905461-2 8.959441+1 2.290868-2 6.127409+1 2.754229-2 4.158469+1 3.273407-2 2.870657+1 3.935501-2 1.918353+1 4.677351-2 1.305201+1 5.559043-2 8.817339+0 6.683439-2 5.758595+0 8.035261-2 3.732241+0 1.000000-1 2.212617+0 1.258925-1 1.261091+0 1.798871-1 5.221896-1 2.691535-1 1.924086-1 3.311311-1 1.159083-1 3.935501-1 7.651938-2 4.570882-1 5.378524-2 5.308844-1 3.808748-2 6.095369-1 2.790510-2 6.998420-1 2.061370-2 8.000000-1 1.549402-2 9.015711-1 1.207484-2 1.000000+0 9.794700-3 1.202264+0 6.822562-3 1.333521+0 5.599586-3 1.513561+0 4.431763-3 1.717908+0 3.536029-3 1.949845+0 2.842973-3 2.238721+0 2.259157-3 2.570396+0 1.808895-3 2.951209+0 1.458817-3 3.427678+0 1.164489-3 4.000000+0 9.302300-4 4.677351+0 7.466204-4 5.559043+0 5.903907-4 6.606934+0 4.704320-4 8.000000+0 3.687800-4 9.549926+0 2.962217-4 1.174898+1 2.309885-4 1.513561+1 1.719109-4 2.018366+1 1.241866-4 2.660725+1 9.161311-5 3.630781+1 6.553679-5 5.432503+1 4.283911-5 8.609938+1 2.657597-5 1.445440+2 1.564721-5 2.884032+2 7.772150-6 5.754399+2 3.877871-6 4.570882+3 4.863744-7 1.000000+5 2.222300-8 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 1.962700-4 1.296500-4 1.000000+5 1.296500-4 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.962700-4 1.800400-9 1.000000+5 1.800400-9 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 1.962700-4 6.661820-5 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 1.487800-4 3.712500+5 1.492500-4 3.882760+5 1.496236-4 3.991654+5 1.500000-4 4.078580+5 1.505000-4 4.159920+5 1.510000-4 4.209160+5 1.515000-4 4.230740+5 1.520000-4 4.232420+5 1.528000-4 4.202780+5 1.535000-4 4.153500+5 1.548817-4 4.022476+5 1.570000-4 3.795620+5 1.640590-4 3.122848+5 1.678804-4 2.838037+5 1.720000-4 2.581420+5 1.780000-4 2.273820+5 1.862087-4 1.938595+5 1.980000-4 1.571042+5 2.089296-4 1.314084+5 2.213095-4 1.092459+5 2.344229-4 9.151027+4 2.454709-4 7.990724+4 2.570396-4 7.024162+4 2.660725-4 6.410203+4 2.770000-4 5.798800+4 2.884032-4 5.281953+4 3.000000-4 4.853540+4 3.126079-4 4.471598+4 3.280000-4 4.093100+4 3.430000-4 3.793800+4 3.600000-4 3.517660+4 3.780000-4 3.281440+4 4.000000-4 3.050780+4 4.265795-4 2.831121+4 4.623810-4 2.599980+4 5.069907-4 2.376110+4 7.161434-4 1.736000+4 8.317638-4 1.506408+4 9.549926-4 1.311469+4 1.083927-3 1.146679+4 1.244515-3 9.826588+3 1.412538-3 8.465988+3 1.603245-3 7.243893+3 1.819701-3 6.155730+3 2.089296-3 5.112997+3 2.400000-3 4.209100+3 2.722701-3 3.500221+3 3.090295-3 2.887958+3 3.507519-3 2.365384+3 3.981072-3 1.923260+3 4.518559-3 1.552286+3 5.128614-3 1.243654+3 5.821032-3 9.891378+2 6.606934-3 7.811139+2 7.498942-3 6.124374+2 8.609938-3 4.660047+2 9.772372-3 3.600989+2 1.109175-2 2.763355+2 1.273503-2 2.054283+2 1.462177-2 1.515047+2 1.678804-2 1.108545+2 1.927525-2 8.048438+1 2.213095-2 5.798401+1 2.540973-2 4.146385+1 2.917427-2 2.944047+1 3.388442-2 2.015983+1 3.935501-2 1.370055+1 4.623810-2 8.965790+0 5.432503-2 5.823541+0 6.456542-2 3.640792+0 8.222426-2 1.867975+0 1.023293-1 1.014279+0 1.972423-1 1.586610-1 2.426610-1 8.885644-2 2.884032-1 5.518656-2 3.349654-1 3.677184-2 3.845918-1 2.545019-2 4.365158-1 1.828306-2 4.954502-1 1.322721-2 5.559043-1 9.921495-3 6.237348-1 7.493916-3 6.998420-1 5.702843-3 7.762471-1 4.490379-3 8.709636-1 3.465715-3 9.440609-1 2.909107-3 1.023293+0 2.458736-3 1.122018+0 2.043949-3 1.244515+0 1.672994-3 1.396368+0 1.349985-3 1.640590+0 1.009735-3 1.862087+0 8.094222-4 2.113489+0 6.537124-4 2.426610+0 5.217964-4 2.786121+0 4.195748-4 3.235937+0 3.339139-4 3.758374+0 2.677955-4 4.365158+0 2.163407-4 5.128614+0 1.732061-4 6.095369+0 1.375267-4 7.244360+0 1.100068-4 9.000000+0 8.382400-5 1.122018+1 6.420261-5 1.462177+1 4.707874-5 1.949845+1 3.396935-5 2.570396+1 2.503589-5 3.548134+1 1.767651-5 5.308844+1 1.154961-5 8.222427+1 7.334375-6 1.348963+2 4.417829-6 2.691535+2 2.193188-6 5.370318+2 1.093948-6 4.265795+3 1.371700-7 1.000000+5 5.848700-9 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 1.487800-4 9.205300-5 1.000000+5 9.205300-5 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.487800-4 4.196500-9 1.000000+5 4.196500-9 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.487800-4 5.672280-5 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 1.178200-4 7.369440+5 1.184000-4 7.483400+5 1.190000-4 7.557880+5 1.197000-4 7.595200+5 1.205000-4 7.588040+5 1.216186-4 7.516774+5 1.230269-4 7.362052+5 1.247000-4 7.136120+5 1.273503-4 6.755579+5 1.318257-4 6.124188+5 1.400000-4 5.142200+5 1.450000-4 4.668160+5 1.500000-4 4.275200+5 1.548817-4 3.957389+5 1.603245-4 3.665332+5 1.659587-4 3.417502+5 1.720000-4 3.198532+5 1.800000-4 2.962264+5 1.905461-4 2.713695+5 2.041738-4 2.460828+5 2.187762-4 2.248925+5 2.317395-4 2.099279+5 2.483133-4 1.946352+5 2.800000-4 1.725008+5 3.700000-4 1.310132+5 4.265795-4 1.130717+5 4.841724-4 9.849586+4 5.500000-4 8.508800+4 6.237348-4 7.314434+4 7.079458-4 6.235880+4 8.128305-4 5.201526+4 9.440609-4 4.236285+4 1.083927-3 3.479168+4 1.258925-3 2.789773+4 1.462177-3 2.219588+4 1.698244-3 1.752800+4 1.972423-3 1.373711+4 2.290868-3 1.068211+4 2.630268-3 8.408985+3 3.000000-3 6.652400+3 3.427678-3 5.211056+3 3.935501-3 4.014178+3 4.518559-3 3.068869+3 5.128614-3 2.382562+3 5.888437-3 1.793710+3 6.760830-3 1.339825+3 7.762471-3 9.930057+2 8.810489-3 7.492014+2 1.011579-2 5.467328+2 1.161449-2 3.958077+2 1.333521-2 2.842702+2 1.531087-2 2.025440+2 1.757924-2 1.431684+2 2.018366-2 1.004204+2 2.317395-2 6.988649+1 2.660725-2 4.827106+1 3.054921-2 3.309722+1 3.507519-2 2.253170+1 4.027170-2 1.523327+1 4.677351-2 9.889616+0 5.495409-2 6.161607+0 6.456542-2 3.811066+0 7.852356-2 2.109189+0 9.885531-2 1.042484+0 1.840772-1 1.520953-1 2.290868-1 7.779015-2 2.691535-1 4.780389-2 3.090295-1 3.171350-2 3.507519-1 2.192301-2 3.981072-1 1.526814-2 4.466836-1 1.106863-2 5.011872-1 8.085103-3 5.559043-1 6.137613-3 6.165950-1 4.691401-3 6.839117-1 3.611668-3 7.585776-1 2.800990-3 8.609938-1 2.067323-3 9.225714-1 1.762156-3 9.772372-1 1.551373-3 1.047129+0 1.341822-3 1.135011+0 1.140637-3 1.244515+0 9.545384-4 1.380384+0 7.882144-4 1.698244+0 5.444293-4 1.927525+0 4.371559-4 2.187762+0 3.537281-4 2.511886+0 2.828778-4 2.884032+0 2.278713-4 3.349654+0 1.816822-4 3.890451+0 1.459585-4 4.570882+0 1.162260-4 5.432503+0 9.180653-5 6.456542+0 7.307980-5 7.762471+0 5.774842-5 9.332543+0 4.593391-5 1.148154+1 3.579029-5 1.500000+1 2.618800-5 2.000000+1 1.891700-5 2.630268+1 1.398746-5 3.589219+1 1.000304-5 5.432503+1 6.459147-6 8.609938+1 4.006972-6 1.445440+2 2.359281-6 2.884032+2 1.171875-6 5.754399+2 5.846886-7 4.570882+3 7.333381-8 1.000000+5 3.350700-9 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 1.178200-4 9.020400-5 1.000000+5 9.020400-5 1 85000 7 7 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.178200-4 7.95980-10 1.000000+5 7.95980-10 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.178200-4 2.761520-5 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 4.920000-5 1.126576+6 4.954502-5 1.196604+6 4.980000-5 1.257680+6 5.011872-5 1.347803+6 5.040000-5 1.442060+6 5.070000-5 1.558844+6 5.095000-5 1.671808+6 5.130000-5 1.855380+6 5.160000-5 2.039440+6 5.190000-5 2.252364+6 5.230000-5 2.587672+6 5.270000-5 2.990224+6 5.315000-5 3.537900+6 5.370318-5 4.374307+6 5.450000-5 5.970480+6 5.560000-5 9.141480+6 5.610000-5 1.101756+7 5.650000-5 1.272020+7 5.690000-5 1.459024+7 5.730000-5 1.659900+7 5.760000-5 1.817036+7 5.790000-5 1.976888+7 5.821032-5 2.141847+7 5.850000-5 2.291968+7 5.870000-5 2.391804+7 5.900000-5 2.532848+7 5.927000-5 2.648472+7 5.956621-5 2.760213+7 5.985000-5 2.850484+7 6.015000-5 2.926924+7 6.040000-5 2.975216+7 6.070000-5 3.014752+7 6.100000-5 3.034820+7 6.130000-5 3.037508+7 6.165950-5 3.020153+7 6.200000-5 2.986304+7 6.240000-5 2.929276+7 6.280000-5 2.858380+7 6.330000-5 2.756760+7 6.400000-5 2.602228+7 6.456542-5 2.475208+7 1.011579-4 2.729310+6 1.260000-4 9.678840+5 1.350000-4 6.948760+5 1.462177-4 4.701410+5 1.659587-4 2.514949+5 1.740000-4 2.002216+5 1.800000-4 1.709088+5 1.862087-4 1.467628+5 1.905461-4 1.329154+5 1.950000-4 1.208388+5 2.002000-4 1.090546+5 2.041738-4 1.014757+5 2.089296-4 9.378081+4 2.137962-4 8.722898+4 2.190000-4 8.146600+4 2.240000-4 7.694200+4 2.290868-4 7.319117+4 2.344229-4 7.002608+4 2.400000-4 6.741520+4 2.454709-4 6.542413+4 2.520000-4 6.364760+4 2.580000-4 6.248040+4 2.650000-4 6.156400+4 2.730000-4 6.097400+4 2.830000-4 6.074000+4 2.951209-4 6.095933+4 3.126079-4 6.180654+4 3.589219-4 6.450457+4 3.850000-4 6.548600+4 4.120975-4 6.597858+4 4.365158-4 6.597604+4 4.623810-4 6.557223+4 4.897788-4 6.475666+4 5.188000-4 6.355107+4 5.559043-4 6.169064+4 5.956621-4 5.940451+4 6.382635-4 5.678075+4 6.850000-4 5.379880+4 7.328245-4 5.078969+4 7.943282-4 4.704120+4 8.511380-4 4.375218+4 9.225714-4 3.994076+4 1.000000-3 3.619732+4 1.096478-3 3.206960+4 1.188502-3 2.865259+4 1.288250-3 2.544183+4 1.412538-3 2.205226+4 1.548817-3 1.897582+4 1.698244-3 1.621002+4 1.862087-3 1.374605+4 2.041738-3 1.157519+4 2.238721-3 9.683414+3 2.454709-3 8.046491+3 2.691535-3 6.642006+3 2.951209-3 5.446833+3 3.235937-3 4.437655+3 3.589219-3 3.497372+3 3.981072-3 2.734750+3 4.415704-3 2.122062+3 4.897788-3 1.634292+3 5.432503-3 1.249384+3 6.025596-3 9.483025+2 6.683439-3 7.147714+2 7.413102-3 5.351729+2 8.222426-3 3.980982+2 9.225714-3 2.843836+2 1.047129-2 1.947560+2 1.174898-2 1.373093+2 1.303167-2 9.963022+1 1.445440-2 7.167370+1 1.621810-2 4.933754+1 1.840772-2 3.245181+1 2.162719-2 1.885519+1 2.483133-2 1.174815+1 2.851018-2 7.266438+0 3.273407-2 4.461884+0 3.845918-2 2.505336+0 4.570882-2 1.338993+0 5.432503-2 7.104865-1 6.839116-2 3.026476-1 1.288250-1 2.852778-2 1.584893-1 1.325869-2 1.883649-1 7.051958-3 2.213095-1 3.939938-3 2.511886-1 2.510363-3 2.818383-1 1.677281-3 3.126079-1 1.174374-3 3.507519-1 7.964768-4 3.935501-1 5.441868-4 4.415705-1 3.743745-4 4.897788-1 2.693062-4 5.370318-1 2.023034-4 5.888437-1 1.529561-4 6.531306-1 1.124904-4 7.161434-1 8.624166-5 7.762471-1 6.879422-5 8.609938-1 5.163197-5 9.120108-1 4.432582-5 9.549926-1 3.947212-5 1.000000+0 3.537900-5 1.059254+0 3.114340-5 1.122018+0 2.762653-5 1.188502+0 2.466689-5 1.273503+0 2.167958-5 1.396368+0 1.840476-5 1.531087+0 1.568897-5 1.819701+0 1.156710-5 2.041738+0 9.503185-6 2.344229+0 7.571077-6 2.691535+0 6.076968-6 3.126079+0 4.827456-6 3.630781+0 3.864884-6 4.216965+0 3.117130-6 4.954502+0 2.491709-6 5.888437+0 1.975438-6 7.000000+0 1.577400-6 8.709636+0 1.197994-6 1.071519+1 9.309715-7 1.348963+1 7.095695-7 1.621810+1 5.740376-7 2.089296+1 4.316528-7 2.800000+1 3.130700-7 3.801894+1 2.253982-7 5.888437+1 1.422372-7 1.011579+2 8.133373-8 2.018366+2 4.026735-8 4.027170+2 2.005579-8 1.603245+3 5.014950-9 5.069907+4 1.58277-10 1.000000+5 8.02710-11 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 4.920000-5 4.920000-5 1.000000+5 4.920000-5 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 4.920000-5 0.0 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 4.506000-5 2.051964+6 4.540000-5 2.152716+6 4.570882-5 2.264515+6 4.602000-5 2.401374+6 4.630000-5 2.548572+6 4.657000-5 2.712948+6 4.680000-5 2.873358+6 4.710000-5 3.113682+6 4.740000-5 3.392754+6 4.770000-5 3.715062+6 4.800000-5 4.086228+6 4.835000-5 4.588908+6 4.870000-5 5.176362+6 4.920000-5 6.185880+6 4.970000-5 7.429740+6 5.040000-5 9.643200+6 5.080000-5 1.119628+7 5.232700-5 1.884702+7 5.250000-5 1.959055+7 5.340000-5 2.314688+7 5.360000-5 2.375608+7 5.465000-5 2.745056+7 5.474400-5 2.776101+7 5.760000-5 3.160475+7 5.780000-5 3.175418+7 5.920000-5 3.175418+7 6.030000-5 3.158673+7 6.070000-5 3.120569+7 6.326500-5 2.764392+7 6.350000-5 2.730347+7 6.500000-5 2.497725+7 6.606934-5 2.319400+7 7.161434-5 1.591085+7 7.244360-5 1.505950+7 8.035261-5 9.388510+6 8.511380-5 7.175724+6 9.300000-5 4.700664+6 1.202264-4 1.365168+6 1.303167-4 9.204389+5 1.531087-4 4.135421+5 1.603245-4 3.307366+5 1.670000-4 2.731464+5 1.724100-4 2.366926+5 1.780000-4 2.065656+5 1.820000-4 1.888500+5 1.865000-4 1.720992+5 1.905461-4 1.594792+5 1.950000-4 1.478454+5 1.995262-4 1.380767+5 2.041738-4 1.298560+5 2.089296-4 1.230329+5 2.137962-4 1.174364+5 2.190000-4 1.127322+5 2.240000-4 1.092348+5 2.300000-4 1.061076+5 2.350000-4 1.042206+5 2.400000-4 1.028610+5 2.454709-4 1.018619+5 2.540973-4 1.010830+5 2.643600-4 1.010470+5 2.770000-4 1.018128+5 3.311311-4 1.074748+5 3.548134-4 1.090990+5 3.780000-4 1.098330+5 4.027170-4 1.097737+5 4.280000-4 1.089864+5 4.518559-4 1.076319+5 4.786301-4 1.055942+5 5.092600-4 1.027435+5 5.495409-4 9.851170+4 5.821032-4 9.486774+4 6.237348-4 9.006464+4 6.683439-4 8.491322+4 7.244360-4 7.868233+4 7.852356-4 7.230600+4 8.413951-4 6.684723+4 9.225714-4 5.972318+4 1.011579-3 5.288183+4 1.109175-3 4.642385+4 1.202264-3 4.115937+4 1.303167-3 3.627662+4 1.428894-3 3.119440+4 1.566751-3 2.662593+4 1.717908-3 2.256952+4 1.883649-3 1.899915+4 2.065380-3 1.588563+4 2.264644-3 1.319451+4 2.483133-3 1.088690+4 2.722701-3 8.924152+3 3.000000-3 7.187940+3 3.311311-3 5.724597+3 3.672823-3 4.473206+3 4.073803-3 3.468173+3 4.518559-3 2.668442+3 5.011872-3 2.037681+3 5.559043-3 1.544497+3 6.165950-3 1.162171+3 6.918310-3 8.404584+2 7.673615-3 6.233966+2 8.511380-3 4.592101+2 9.549926-3 3.245457+2 1.096478-2 2.122490+2 1.230269-2 1.479040+2 1.333521-2 1.142807+2 1.479108-2 8.142072+1 1.659587-2 5.543505+1 1.862087-2 3.746196+1 2.113489-2 2.415812+1 2.398833-2 1.546729+1 2.754229-2 9.436787+0 3.198895-2 5.481879+0 3.715352-2 3.161791+0 4.365158-2 1.735337+0 5.128614-2 9.459708-1 6.309573-2 4.294655-1 1.230269-1 3.300348-2 1.500000-1 1.551300-2 1.757924-1 8.533188-3 2.018366-1 5.107689-3 2.290868-1 3.214074-3 2.570396-1 2.125184-3 2.851018-1 1.474822-3 3.126079-1 1.072974-3 3.467369-1 7.561447-4 3.801894-1 5.577204-4 4.216965-1 3.990154-4 4.623810-1 2.984156-4 5.069907-1 2.248394-4 5.559043-1 1.707553-4 6.095369-1 1.307049-4 6.606935-1 1.041229-4 7.161434-1 8.346929-5 7.762471-1 6.734381-5 8.609938-1 5.135796-5 9.120108-1 4.445184-5 9.660509-1 3.874760-5 1.011579+0 3.492799-5 1.071519+0 3.088750-5 1.148154+0 2.685477-5 1.230269+0 2.351189-5 1.333521+0 2.027398-5 1.798871+0 1.194669-5 2.018366+0 9.810402-6 2.317395+0 7.810942-6 2.660725+0 6.265623-6 3.054921+0 5.061819-6 3.548134+0 4.047765-6 4.120975+0 3.261012-6 4.841724+0 2.603947-6 5.754399+0 2.062320-6 6.839116+0 1.645692-6 8.413951+0 1.266276-6 1.011579+1 1.010420-6 1.230269+1 8.002738-7 1.548817+1 6.124969-7 2.041738+1 4.484400-7 2.722701+1 3.267972-7 3.715352+1 2.338961-7 5.688529+1 1.493213-7 9.332543+1 8.946372-8 1.778279+2 4.636408-8 3.548134+2 2.307025-8 7.079458+2 1.152111-8 5.623413+3 1.445548-9 1.000000+5 8.12820-11 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 4.506000-5 4.506000-5 1.000000+5 4.506000-5 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 4.506000-5 0.0 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 2.301000-5 1.108620+6 2.350000-5 1.026174+6 2.540973-5 7.531512+5 3.019952-5 3.766568+5 3.235937-5 2.872540+5 3.427678-5 2.307332+5 3.589219-5 1.948341+5 3.758374-5 1.656623+5 3.900000-5 1.462778+5 4.027170-5 1.319370+5 4.168694-5 1.187104+5 4.315191-5 1.074563+5 4.466836-5 9.788801+4 4.623810-5 8.975594+4 4.800000-5 8.231960+4 4.954502-5 7.696286+4 5.150000-5 7.140460+4 5.350000-5 6.681840+4 5.580000-5 6.258980+4 5.821032-5 5.905980+4 6.095369-5 5.586395+4 6.400000-5 5.304980+4 6.760830-5 5.041198+4 7.244360-5 4.766265+4 7.943282-5 4.462258+4 1.000000-4 3.824680+4 1.120000-4 3.521780+4 1.244515-4 3.236785+4 1.400000-4 2.921180+4 1.659587-4 2.494552+4 1.950000-4 2.133280+4 2.213095-4 1.872768+4 2.483133-4 1.650493+4 2.884032-4 1.387678+4 3.350000-4 1.157956+4 3.890451-4 9.584490+3 4.786301-4 7.312214+3 5.500000-4 6.054040+3 6.531306-4 4.753834+3 7.943282-4 3.577723+3 9.549926-4 2.720520+3 1.188502-3 1.948175+3 1.500000-3 1.354736+3 1.883649-3 9.427582+2 2.371374-3 6.486254+2 2.951209-3 4.512998+2 3.630781-3 3.177059+2 4.415704-3 2.264033+2 5.128614-3 1.737744+2 6.309573-3 1.188452+2 8.000000-3 7.627413+1 1.230269-2 3.376082+1 1.445440-2 2.471692+1 1.659587-2 1.877721+1 1.972423-2 1.321096+1 2.371374-2 9.017992+0 2.851018-2 6.109593+0 3.388442-2 4.210636+0 4.073803-2 2.809090+0 4.897788-2 1.859401+0 5.821032-2 1.252996+0 6.998420-2 8.163997-1 8.511380-2 5.139901-1 1.011580-1 3.394876-1 1.288250-1 1.880032-1 2.722701-1 2.951804-2 3.349654-1 1.778995-2 3.981072-1 1.175076-2 4.623810-1 8.264436-3 5.370318-1 5.856133-3 6.095369-1 4.404720-3 6.998420-1 3.254083-3 8.000000-1 2.446200-3 9.015711-1 1.906745-3 1.000000+0 1.546900-3 1.202264+0 1.077579-3 1.333521+0 8.843934-4 1.513561+0 6.999134-4 1.717908+0 5.584375-4 1.949845+0 4.489928-4 2.238721+0 3.568061-4 2.570396+0 2.856919-4 2.951209+0 2.303949-4 3.427678+0 1.839083-4 4.000000+0 1.469100-4 4.677351+0 1.179120-4 5.559043+0 9.324106-5 6.606934+0 7.429747-5 8.000000+0 5.824200-5 9.549926+0 4.678281-5 1.174898+1 3.648132-5 1.513561+1 2.715099-5 2.000000+1 1.981500-5 2.630268+1 1.465100-5 3.589219+1 1.047821-5 5.370318+1 6.847782-6 8.413951+1 4.297976-6 1.380384+2 2.589669-6 2.754229+2 1.285815-6 5.495409+2 6.414383-7 4.365158+3 8.043793-8 1.000000+5 3.509700-9 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 2.301000-5 2.301000-5 1.000000+5 2.301000-5 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 2.301000-5 0.0 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 1.194000-5 2.886389+7 1.216186-5 2.862648+7 1.244515-5 2.813293+7 1.273503-5 2.745884+7 1.310000-5 2.644705+7 1.350000-5 2.517355+7 1.380384-5 2.415642+7 1.420000-5 2.278238+7 1.462177-5 2.131810+7 1.515000-5 1.954187+7 1.570000-5 1.779670+7 1.640590-5 1.574650+7 1.737801-5 1.330056+7 1.862087-5 1.077320+7 2.454709-5 4.525617+6 2.786121-5 3.061555+6 3.090295-5 2.237644+6 3.507519-5 1.537186+6 4.120975-5 9.613852+5 5.688529-5 3.786917+5 8.709636-5 1.090210+5 1.011579-4 7.089683+4 1.135011-4 5.125206+4 1.260000-4 3.842874+4 1.380384-4 3.008270+4 1.500000-4 2.423955+4 1.621810-4 1.992435+4 1.760000-4 1.635575+4 1.900000-4 1.370208+4 2.041738-4 1.168201+4 2.187762-4 1.009411+4 2.317395-4 8.987107+3 2.483133-4 7.875671+3 2.650000-4 7.006581+3 2.818383-4 6.310994+3 3.019952-4 5.650813+3 3.235937-4 5.090600+3 3.510000-4 4.535159+3 3.801894-4 4.078823+3 4.168694-4 3.637274+3 4.677351-4 3.179777+3 8.128305-4 1.712703+3 9.549926-4 1.422607+3 1.122018-3 1.172648+3 1.318257-3 9.594049+2 1.531087-3 7.906399+2 1.778279-3 6.469038+2 2.065380-3 5.252550+2 2.371374-3 4.302686+2 2.511886-3 3.947031+2 2.884032-3 3.180324+2 3.311311-3 2.543254+2 3.801894-3 2.018166+2 4.319000-3 1.618908+2 4.954502-3 1.266465+2 6.025596-3 9.156709+1 6.531306-3 7.899219+1 7.161434-3 6.620370+1 8.511380-3 4.695597+1 9.660509-3 3.629557+1 1.096478-2 2.786097+1 1.258925-2 2.071672+1 1.445440-2 1.528399+1 1.659587-2 1.119149+1 1.905461-2 8.132494+0 2.187762-2 5.863730+0 2.511886-2 4.196136+0 2.884032-2 2.981431+0 3.349654-2 2.042966+0 3.890451-2 1.389333+0 4.518559-2 9.380456-1 5.308844-2 6.100314-1 6.309573-2 3.818025-1 7.673615-2 2.226259-1 9.660509-2 1.170436-1 1.949845-1 1.609142-2 2.426610-1 8.725651-3 2.884032-1 5.419689-3 3.349654-1 3.611660-3 3.845918-1 2.499933-3 4.415705-1 1.743247-3 5.011872-1 1.262035-3 5.623413-1 9.474928-4 6.309573-1 7.163839-4 7.079458-1 5.457344-4 7.852356-1 4.301336-4 8.709636-1 3.408805-4 9.440609-1 2.862013-4 1.023293+0 2.419343-4 1.122018+0 2.011355-4 1.250000+0 1.632600-4 1.396368+0 1.328316-4 1.640590+0 9.934549-5 1.862087+0 7.963909-5 2.113489+0 6.432221-5 2.426610+0 5.134339-5 2.786121+0 4.128453-5 3.235937+0 3.285544-5 3.758374+0 2.634971-5 4.365158+0 2.128663-5 5.128614+0 1.704247-5 6.095369+0 1.353234-5 7.244360+0 1.082441-5 8.912509+0 8.347730-6 1.109175+1 6.404373-6 1.445440+1 4.694409-6 1.927525+1 3.385777-6 2.511886+1 2.526133-6 3.467369+1 1.782584-6 5.069907+1 1.192687-6 7.585776+1 7.842249-7 1.244515+2 4.718566-7 2.483133+2 2.340879-7 4.954502+2 1.167181-7 3.935501+3 1.462998-8 1.000000+5 5.75480-10 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 1.194000-5 1.194000-5 1.000000+5 1.194000-5 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 1.194000-5 0.0 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 8.540000-6 7.126758+7 8.810489-6 6.838075+7 9.120108-6 6.487661+7 9.440609-6 6.114589+7 9.772372-6 5.727454+7 1.011579-5 5.331677+7 1.050000-5 4.907128+7 1.096478-5 4.423798+7 1.150000-5 3.915363+7 1.202264-5 3.471741+7 1.273503-5 2.947821+7 1.350000-5 2.479038+7 1.445440-5 2.009004+7 1.584893-5 1.499945+7 1.819701-5 9.579800+6 2.264644-5 4.698142+6 2.600160-5 3.016425+6 2.951209-5 2.023812+6 3.349654-5 1.367135+6 3.845918-5 8.982881+5 4.365158-5 6.158144+5 4.841724-5 4.550547+5 5.308844-5 3.500287+5 5.800000-5 2.740137+5 6.237348-5 2.255849+5 6.683439-5 1.887505+5 7.161434-5 1.590315+5 7.673615-5 1.349905+5 8.222426-5 1.154166+5 8.810489-5 9.942195+4 9.440609-5 8.625141+4 1.011579-4 7.535757+4 1.083927-4 6.628098+4 1.161449-4 5.870745+4 1.244515-4 5.235103+4 1.333521-4 4.699815+4 1.428894-4 4.244533+4 1.548817-4 3.795080+4 1.720000-4 3.308523+4 1.949845-4 2.831150+4 3.090295-4 1.635553+4 4.120975-4 1.150496+4 4.954502-4 9.144169+3 5.754399-4 7.527346+3 6.606934-4 6.242847+3 8.035261-4 4.747855+3 9.332543-4 3.829625+3 1.096478-3 3.012604+3 1.288250-3 2.352744+3 1.513561-3 1.823986+3 1.778279-3 1.403902+3 2.089296-3 1.072131+3 2.426610-3 8.285852+2 2.818383-3 6.355439+2 3.235937-3 4.940150+2 3.715352-3 3.812730+2 4.319000-3 2.851640+2 4.897788-3 2.222684+2 5.559043-3 1.716907+2 6.382635-3 1.285686+2 7.328245-3 9.555672+1 8.511380-3 6.871963+1 9.772372-3 5.031697+1 1.109175-2 3.755101+1 1.258925-2 2.782859+1 1.412538-2 2.103784+1 1.603245-2 1.535417+1 1.840772-2 1.080651+1 2.137962-2 7.326317+0 2.454709-2 5.080904+0 2.818383-2 3.498109+0 3.235937-2 2.390517+0 3.758374-2 1.569906+0 4.365158-2 1.022986+0 5.128614-2 6.400405-1 6.025596-2 3.974240-1 7.161434-2 2.365971-1 8.810489-2 1.259325-1 1.083927-1 6.655460-2 1.798871-1 1.385949-2 2.264644-1 6.839700-3 2.660725-1 4.201567-3 3.054921-1 2.786183-3 3.467369-1 1.925268-3 3.935501-1 1.340243-3 4.415705-1 9.711713-4 4.954502-1 7.090537-4 5.495409-1 5.380132-4 6.095369-1 4.110865-4 6.760830-1 3.164093-4 7.498942-1 2.453717-4 8.609938-1 1.763903-4 9.225714-1 1.504737-4 9.772372-1 1.325426-4 1.047129+0 1.146793-4 1.135011+0 9.750396-5 1.244515+0 8.159734-5 1.380384+0 6.736574-5 1.698244+0 4.651919-5 1.927525+0 3.735423-5 2.187762+0 3.022480-5 2.511886+0 2.417059-5 2.884032+0 1.947061-5 3.349654+0 1.552421-5 3.890451+0 1.247191-5 4.570882+0 9.931197-6 5.432503+0 7.844656-6 6.456542+0 6.244594-6 7.762471+0 4.934528-6 9.332543+0 3.924976-6 1.148154+1 3.058186-6 1.500000+1 2.237800-6 2.000000+1 1.616400-6 2.630268+1 1.195218-6 3.589219+1 8.547940-7 5.370318+1 5.586158-7 8.413951+1 3.506079-7 1.380384+2 2.112615-7 2.754229+2 1.048933-7 5.495409+2 5.232640-8 4.365158+3 6.561801-9 1.000000+5 2.86310-10 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 8.540000-6 8.540000-6 1.000000+5 8.540000-6 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 8.540000-6 0.0 1.000000+5 1.000000+5 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 6.651180-7 1.025800+0 1.198680-6 1.026100+0 1.503890-6 1.026600+0 2.120140-6 1.027100+0 2.884490-6 1.027500+0 3.612790-6 1.028100+0 4.918760-6 1.028750+0 6.651180-6 1.029500+0 9.102320-6 1.030100+0 1.144730-5 1.031000+0 1.566380-5 1.032000+0 2.143200-5 1.033200+0 3.002250-5 1.034000+0 3.685540-5 1.035300+0 5.002600-5 1.036640+0 6.651180-5 1.038200+0 8.975980-5 1.039700+0 1.166160-4 1.041500+0 1.551560-4 1.043800+0 2.153620-4 1.046400+0 2.996360-4 1.048300+0 3.730550-4 1.051200+0 5.060410-4 1.054080+0 6.651180-4 1.057700+0 9.065990-4 1.061100+0 1.179260-3 1.065100+0 1.561210-3 1.070400+0 2.178050-3 1.076200+0 3.010050-3 1.080600+0 3.759060-3 1.087100+0 5.064700-3 1.093710+0 6.651180-3 1.102600+0 9.221710-3 1.110700+0 1.202680-2 1.120600+0 1.608810-2 1.133300+0 2.236920-2 1.147500+0 3.088500-2 1.158200+0 3.838220-2 1.174100+0 5.129950-2 1.190110+0 6.651180-2 1.205100+0 8.279430-2 1.227500+0 1.108140-1 1.250000+0 1.432000-1 1.265600+0 1.679550-1 1.294900+0 2.191050-1 1.331800+0 2.911290-1 1.362600+0 3.567050-1 1.397000+0 4.347260-1 1.433800+0 5.227450-1 1.477900+0 6.330440-1 1.500000+0 6.900000-1 1.562500+0 8.557440-1 1.617200+0 1.004740+0 1.712900+0 1.269940+0 1.784700+0 1.469800+0 1.892300+0 1.767650+0 2.000000+0 2.062000+0 2.044000+0 2.181000+0 2.163500+0 2.497710+0 2.372600+0 3.027270+0 2.686300+0 3.764590+0 3.000000+0 4.444000+0 3.500000+0 5.434470+0 4.000000+0 6.334000+0 5.000000+0 7.915000+0 6.000000+0 9.278000+0 7.000000+0 1.048000+1 8.000000+0 1.156000+1 9.000000+0 1.254000+1 1.000000+1 1.345000+1 1.100000+1 1.429000+1 1.200000+1 1.508000+1 1.300000+1 1.581000+1 1.400000+1 1.649000+1 1.500000+1 1.713000+1 1.600000+1 1.773000+1 1.800000+1 1.881000+1 2.000000+1 1.977000+1 2.200000+1 2.065000+1 2.400000+1 2.144000+1 2.600000+1 2.217000+1 2.800000+1 2.284000+1 3.000000+1 2.346000+1 4.000000+1 2.597000+1 5.000000+1 2.784000+1 6.000000+1 2.928000+1 8.000000+1 3.141000+1 1.000000+2 3.290000+1 1.500000+2 3.527000+1 2.000000+2 3.667000+1 3.000000+2 3.831000+1 4.000000+2 3.924000+1 5.000000+2 3.985000+1 6.000000+2 4.029000+1 8.000000+2 4.087000+1 1.000000+3 4.125000+1 1.500000+3 4.179000+1 2.000000+3 4.209000+1 3.000000+3 4.241000+1 4.000000+3 4.258000+1 5.000000+3 4.269000+1 6.000000+3 4.277000+1 8.000000+3 4.287000+1 1.000000+4 4.293000+1 1.500000+4 4.302000+1 2.000000+4 4.306000+1 3.000000+4 4.311000+1 4.000000+4 4.314000+1 5.000000+4 4.315000+1 6.000000+4 4.316000+1 8.000000+4 4.318000+1 1.000000+5 4.319000+1 1 85000 7 8 2.100000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 8.506720-7 2.090400+0 1.155000-6 2.094700+0 1.497630-6 2.099900+0 1.992390-6 2.106600+0 2.771580-6 2.114000+0 3.834830-6 2.119500+0 4.774340-6 2.127900+0 6.474910-6 2.136250+0 8.506720-6 2.147000+0 1.166330-5 2.156900+0 1.514920-5 2.169000+0 2.021760-5 2.184500+0 2.810320-5 2.201800+0 3.888150-5 2.214800+0 4.844330-5 2.234200+0 6.516490-5 2.253680+0 8.506720-5 2.281500+0 1.191520-4 2.307000+0 1.565050-4 2.338200+0 2.104340-4 2.377400+0 2.914260-4 2.410200+0 3.706450-4 2.446800+0 4.714810-4 2.485900+0 5.936210-4 2.532900+0 7.597090-4 2.556430+0 8.506720-4 2.611900+0 1.084710-3 2.660400+0 1.311360-3 2.745300+0 1.755190-3 2.809000+0 2.125650-3 2.904500+0 2.738370-3 3.000000+0 3.418000-3 3.125000+0 4.407100-3 3.234400+0 5.362010-3 3.425800+0 7.219290-3 3.569300+0 8.752610-3 3.784700+0 1.124840-2 4.000000+0 1.393000-2 4.250000+0 1.720680-2 4.625000+0 2.235320-2 5.000000+0 2.770000-2 5.500000+0 3.503430-2 6.000000+0 4.246000-2 6.750000+0 5.349350-2 7.000000+0 5.712000-2 8.000000+0 7.129000-2 9.000000+0 8.482000-2 1.000000+1 9.764000-2 1.100000+1 1.097000-1 1.200000+1 1.211000-1 1.300000+1 1.319000-1 1.400000+1 1.420000-1 1.500000+1 1.516000-1 1.600000+1 1.607000-1 1.800000+1 1.776000-1 2.000000+1 1.928000-1 2.200000+1 2.067000-1 2.400000+1 2.195000-1 2.600000+1 2.312000-1 2.800000+1 2.421000-1 3.000000+1 2.521000-1 4.000000+1 2.935000-1 5.000000+1 3.245000-1 6.000000+1 3.489000-1 8.000000+1 3.853000-1 1.000000+2 4.116000-1 1.500000+2 4.544000-1 2.000000+2 4.810000-1 3.000000+2 5.131000-1 4.000000+2 5.322000-1 5.000000+2 5.451000-1 6.000000+2 5.546000-1 8.000000+2 5.675000-1 1.000000+3 5.761000-1 1.500000+3 5.888000-1 2.000000+3 5.959000-1 3.000000+3 6.036000-1 4.000000+3 6.082000-1 5.000000+3 6.110000-1 6.000000+3 6.129000-1 8.000000+3 6.155000-1 1.000000+4 6.171000-1 1.500000+4 6.193000-1 2.000000+4 6.206000-1 3.000000+4 6.218000-1 4.000000+4 6.226000-1 5.000000+4 6.231000-1 6.000000+4 6.233000-1 8.000000+4 6.237000-1 1.000000+5 6.239000-1 1 85000 7 8 2.100000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 85000 7 9 2.100000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 8.500000+1 1.000000+5 8.500000+1 5.000000+5 8.498300+1 6.718700+5 8.496380+1 8.593700+5 8.494780+1 1.000000+6 8.493800+1 1.250000+6 8.489780+1 1.500000+6 8.486500+1 2.000000+6 8.476100+1 2.500000+6 8.462900+1 3.000000+6 8.446800+1 3.750000+6 8.417020+1 4.000000+6 8.406700+1 4.750000+6 8.369440+1 5.000000+6 8.356700+1 5.500000+6 8.328270+1 6.250000+6 8.280980+1 6.500000+6 8.264820+1 7.000000+6 8.230700+1 7.875000+6 8.166670+1 8.625000+6 8.107910+1 9.000000+6 8.078300+1 1.000000+7 7.995200+1 1.109400+7 7.900550+1 1.187500+7 7.831060+1 1.250000+7 7.775200+1 1.375000+7 7.661690+1 1.500000+7 7.548700+1 1.687500+7 7.380270+1 1.750000+7 7.325600+1 1.937500+7 7.162880+1 2.000000+7 7.110100+1 2.250000+7 6.903870+1 2.375000+7 6.803950+1 2.500000+7 6.706800+1 2.750000+7 6.517380+1 2.875000+7 6.425660+1 3.000000+7 6.335500+1 3.437500+7 6.029390+1 3.500000+7 5.986710+1 3.812500+7 5.778630+1 4.000000+7 5.657700+1 4.500000+7 5.345990+1 5.000000+7 5.055300+1 5.750000+7 4.659360+1 6.000000+7 4.538500+1 7.000000+7 4.105900+1 7.750000+7 3.826120+1 8.000000+7 3.739900+1 8.750000+7 3.496340+1 9.000000+7 3.419800+1 9.750000+7 3.200680+1 1.000000+8 3.131000+1 1.062500+8 2.962690+1 1.156300+8 2.727320+1 1.187500+8 2.653380+1 1.250000+8 2.511900+1 1.500000+8 2.041100+1 1.671900+8 1.809800+1 1.859400+8 1.620520+1 1.875000+8 1.607100+1 2.000000+8 1.509900+1 2.218800+8 1.375720+1 2.375000+8 1.298200+1 2.500000+8 1.243500+1 2.671900+8 1.174150+1 2.789100+8 1.126410+1 2.875000+8 1.089820+1 2.894500+8 1.081230+1 3.000000+8 1.033000+1 3.125000+8 9.727940+0 3.359400+8 8.699710+0 3.375000+8 8.640800+0 3.453100+8 8.369400+0 3.500000+8 8.225200+0 3.625000+8 7.907090+0 3.859400+8 7.418350+0 4.000000+8 7.111500+0 4.125000+8 6.802990+0 4.234400+8 6.519230+0 4.425800+8 6.026950+0 4.712900+8 5.375650+0 4.750000+8 5.302290+0 4.856400+8 5.108240+0 5.000000+8 4.884200+0 5.179700+8 4.664120+0 5.330100+8 4.516350+0 6.000000+8 4.023300+0 6.250000+8 3.846880+0 7.000000+8 3.368100+0 7.500000+8 3.121850+0 7.750000+8 2.999840+0 8.000000+8 2.868800+0 8.250000+8 2.726520+0 8.468800+8 2.598590+0 8.851600+8 2.379980+0 9.569300+8 2.030180+0 9.856400+8 1.919110+0 1.000000+9 1.870200+0 1.031300+9 1.778280+0 1.060500+9 1.707300+0 1.100900+9 1.627350+0 1.137900+9 1.568490+0 1.183200+9 1.510070+0 1.241300+9 1.450980+0 1.250000+9 1.443270+0 1.278200+9 1.419670+0 1.500000+9 1.274100+0 1.562500+9 1.235260+0 1.671900+9 1.166300+0 1.753900+9 1.114850+0 1.877000+9 1.039360+0 2.000000+9 9.671700-1 2.139200+9 8.901830-1 2.272600+9 8.215690-1 2.443000+9 7.413420-1 2.602800+9 6.735170-1 2.750000+9 6.169990-1 2.822900+9 5.909220-1 3.024800+9 5.251100-1 3.271700+9 4.558210-1 3.487700+9 4.039560-1 3.759500+9 3.483500-1 3.986900+9 3.088420-1 4.348700+9 2.566580-1 4.674400+9 2.187100-1 5.000000+9 1.874900-1 5.375000+9 1.581110-1 5.703100+9 1.370330-1 6.277300+9 1.080630-1 7.031000+9 8.098380-2 8.000000+9 5.786500-2 9.500000+9 3.670360-2 1.00000+10 3.201600-2 1.54060+10 1.009260-2 5.44380+10 3.437380-4 8.48130+10 1.053860-4 1.00000+11 6.802800-5 1.68570+11 1.710120-5 3.34410+11 2.834290-6 8.62510+11 2.413790-7 2.83020+12 1.132010-8 1.00000+14 1.27580-12 3.16230+15 1.83219-16 1.00000+17 2.50840-20 1 85000 7 0 2.100000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 6.60000-12 1.000000+2 6.60000-10 1.000000+3 6.600000-8 1.000000+4 6.600000-6 1.000000+5 6.600000-4 5.000000+5 1.650000-2 6.718700+5 2.979301-2 8.593700+5 4.874211-2 1.000000+6 6.600000-2 1.250000+6 1.026580-1 1.500000+6 1.476000-1 2.000000+6 2.605000-1 2.500000+6 4.032000-1 3.000000+6 5.740000-1 3.750000+6 8.786720-1 4.000000+6 9.921000-1 4.750000+6 1.363620+0 5.000000+6 1.497000+0 5.500000+6 1.775880+0 6.250000+6 2.220700+0 6.500000+6 2.374910+0 7.000000+6 2.690900+0 7.875000+6 3.262050+0 8.625000+6 3.764810+0 9.000000+6 4.019300+0 1.000000+7 4.702000+0 1.109400+7 5.450730+0 1.187500+7 5.983400+0 1.250000+7 6.408200+0 1.375000+7 7.248470+0 1.500000+7 8.076000+0 1.687500+7 9.289420+0 1.750000+7 9.687000+0 1.937500+7 1.085050+1 2.000000+7 1.122900+1 2.250000+7 1.268650+1 2.375000+7 1.338190+1 2.500000+7 1.405600+1 2.750000+7 1.533670+1 2.875000+7 1.594810+1 3.000000+7 1.654600+1 3.437500+7 1.854080+1 3.500000+7 1.881570+1 3.812500+7 2.017510+1 4.000000+7 2.097800+1 4.500000+7 2.309590+1 5.000000+7 2.517100+1 5.750000+7 2.819180+1 6.000000+7 2.916900+1 7.000000+7 3.285400+1 7.750000+7 3.534860+1 8.000000+7 3.612700+1 8.750000+7 3.829660+1 9.000000+7 3.897100+1 9.750000+7 4.085620+1 1.000000+8 4.145000+1 1.062500+8 4.285610+1 1.156300+8 4.481680+1 1.187500+8 4.543500+1 1.250000+8 4.664300+1 1.500000+8 5.106200+1 1.671900+8 5.379520+1 1.859400+8 5.652260+1 1.875000+8 5.673920+1 2.000000+8 5.840400+1 2.218800+8 6.104530+1 2.375000+8 6.273970+1 2.500000+8 6.397900+1 2.671900+8 6.552090+1 2.789100+8 6.647040+1 2.875000+8 6.712930+1 2.894500+8 6.727030+1 3.000000+8 6.801800+1 3.125000+8 6.883670+1 3.359400+8 7.020850+1 3.375000+8 7.029120+1 3.453100+8 7.070050+1 3.500000+8 7.094300+1 3.625000+8 7.154780+1 3.859400+8 7.257260+1 4.000000+8 7.313700+1 4.125000+8 7.359770+1 4.234400+8 7.399180+1 4.425800+8 7.462060+1 4.712900+8 7.548760+1 4.750000+8 7.559460+1 4.856400+8 7.588410+1 5.000000+8 7.626600+1 5.179700+8 7.671210+1 5.330100+8 7.706590+1 6.000000+8 7.846300+1 6.250000+8 7.890520+1 7.000000+8 8.006400+1 7.500000+8 8.068420+1 7.750000+8 8.095750+1 8.000000+8 8.121000+1 8.250000+8 8.143170+1 8.468800+8 8.162080+1 8.851600+8 8.191130+1 9.569300+8 8.236010+1 9.856400+8 8.251310+1 1.000000+9 8.258800+1 1.031300+9 8.272490+1 1.060500+9 8.284920+1 1.100900+9 8.300900+1 1.137900+9 8.313420+1 1.183200+9 8.327310+1 1.241300+9 8.342700+1 1.250000+9 8.344950+1 1.278200+9 8.352120+1 1.500000+9 8.394100+1 1.562500+9 8.403050+1 1.671900+9 8.417910+1 1.753900+9 8.428350+1 1.877000+9 8.440560+1 2.000000+9 8.452000+1 2.139200+9 8.461630+1 2.272600+9 8.468880+1 2.443000+9 8.476560+1 2.602800+9 8.482440+1 2.750000+9 8.486370+1 2.822900+9 8.488250+1 3.024800+9 8.491380+1 3.271700+9 8.494670+1 3.487700+9 8.496530+1 3.759500+9 8.497620+1 3.986900+9 8.498480+1 4.348700+9 8.499270+1 4.674400+9 8.499390+1 5.000000+9 8.499500+1 5.375000+9 8.499580+1 5.703100+9 8.499640+1 6.277300+9 8.499740+1 7.031000+9 8.499860+1 8.000000+9 8.500000+1 9.500000+9 8.500000+1 1.00000+10 8.500000+1 1.54060+10 8.500000+1 5.44380+10 8.500000+1 8.48130+10 8.500000+1 1.00000+11 8.500000+1 1.68570+11 8.500000+1 3.34410+11 8.500000+1 8.62510+11 8.500000+1 2.83020+12 8.500000+1 1.00000+14 8.500000+1 3.16230+15 8.500000+1 1.00000+17 8.500000+1 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.014501-6 0.0 3.347232-6 0.0 3.355471-6 7.606040-7 3.363710-6 1.505026-6 3.371948-6 2.749052-6 3.380187-6 4.635280-6 3.388426-6 7.214775-6 3.396665-6 1.036629-5 3.404904-6 1.374922-5 3.413142-6 1.683397-5 3.421381-6 1.902606-5 3.429620-6 1.985022-5 3.437859-6 1.911769-5 3.446098-6 1.699651-5 3.454336-6 1.394883-5 3.470814-6 7.390198-6 3.479053-6 4.770855-6 3.487292-6 2.843088-6 3.495530-6 1.564006-6 3.503769-6 7.942196-7 3.512008-6 0.0 5.205562-6 0.0 5.224781-6 2.018039+0 5.231187-6 2.682186+0 5.244000-6 4.899232+0 5.256813-6 8.260779+0 5.271227-6 1.355841+1 5.293675-6 2.375982+1 5.308865-6 3.024434+1 5.322053-6 3.404191+1 5.334616-6 3.528202+1 5.348577-6 3.346002+1 5.361618-6 2.931636+1 5.381788-6 2.031849+1 5.397754-6 1.317047+1 5.410567-6 8.502395+0 5.423380-6 5.066819+0 5.436193-6 2.787299+0 5.452209-6 1.062190+0 5.461818-6 0.0 6.170472-6 0.0 6.185660-6 2.027855-6 6.200847-6 4.012566-6 6.216035-6 7.329280-6 6.231223-6 1.235817-5 6.246411-6 1.923540-5 6.261599-6 2.763770-5 6.276787-6 3.665696-5 6.291974-6 4.488124-5 6.307162-6 5.072561-5 6.323407-6 5.278725-5 6.338972-6 5.167214-5 6.354536-6 4.679179-5 6.385664-6 3.427327-5 6.401229-6 3.006820-5 6.413477-6 2.845843-5 6.428665-6 2.859820-5 6.463486-6 3.239003-5 6.474228-6 3.181421-5 6.479050-6 3.222939-5 6.494614-6 3.104005-5 6.510179-6 2.759603-5 6.525743-6 2.264773-5 6.556871-6 1.199894-5 6.572436-6 7.746100-6 6.588000-6 4.616121-6 6.603564-6 2.539366-6 6.619128-6 1.289518-6 6.634693-6 0.0 6.783766-6 0.0 6.794853-6 1.661689-1 6.817161-6 3.272563+0 6.828303-6 4.912080+0 6.845027-6 8.888568+0 6.861752-6 1.485648+1 6.878477-6 2.293518+1 6.917345-6 4.614246+1 6.935648-6 5.519426+1 6.948454-6 5.947093+1 6.966147-6 6.087822+1 6.983763-6 5.736500+1 7.001690-6 4.979757+1 7.047814-6 2.535175+1 7.062448-6 1.925643+1 7.079173-6 1.418772+1 7.095897-6 1.071410+1 7.116803-6 7.544974+0 7.129347-6 5.453161+0 7.138778-6 5.019074+0 7.151571-6 4.312044+0 7.185684-6 2.284554+0 7.202741-6 1.474829+0 7.219798-6 8.788923-1 7.236855-6 4.834859-1 7.253912-6 2.455195-1 7.270969-6 0.0 7.457825-6 0.0 7.464472-6 3.975165-2 7.501217-6 2.103937+0 7.519590-6 3.822980+0 7.539111-6 6.661917+0 7.558385-6 1.054970+1 7.612603-6 2.371076+1 7.631774-6 2.685990+1 7.649079-6 2.807363+1 7.669547-6 2.699630+1 7.687688-6 2.420596+1 7.731909-6 1.397770+1 7.740064-6 1.200943+1 7.758437-6 8.243891+0 7.777360-6 5.266233+0 7.795709-6 3.701697+0 7.815646-6 2.726839+0 7.831928-6 2.321160+0 7.836546-6 2.530801+0 7.854963-6 3.649032+0 7.874271-6 5.398116+0 7.931577-6 1.215717+1 7.952543-6 1.390754+1 7.971853-6 1.474055+1 7.993418-6 1.442008+1 8.019184-6 1.294441+1 8.050154-6 1.081702+1 8.069966-6 1.004642+1 8.093264-6 9.798461+0 8.129431-6 1.033776+1 8.171531-6 1.099836+1 8.397729-6 1.064118+1 8.535557-6 9.034390+0 8.556577-6 8.912778+0 8.601565-6 9.537925+0 8.623185-6 1.020633+1 8.645594-6 1.127286+1 8.672182-6 1.299658+1 8.732963-6 1.706777+1 8.755909-6 1.777766+1 8.764626-6 1.789564+1 8.791598-6 1.723407+1 8.819557-6 1.560932+1 8.868568-6 1.204268+1 8.889620-6 1.080486+1 8.910671-6 9.891035+0 8.936986-6 9.188500+0 8.978075-6 8.524749+0 1.013216-5 7.735630+0 1.018403-5 9.320573+0 1.020740-5 1.050927+1 1.023526-5 1.272099+1 1.026221-5 1.566510+1 1.033209-5 2.470947+1 1.036211-5 2.713662+1 1.038629-5 2.775191+1 1.041046-5 2.699830+1 1.043773-5 2.469203+1 1.051755-5 1.542788+1 1.053634-5 1.363263+1 1.055530-5 1.209636+1 1.058059-5 1.057175+1 1.063143-5 8.323812+0 1.070707-5 7.469995+0 1.080530-5 7.090327+0 1.083900-5 7.563246+0 1.087393-5 8.712148+0 1.089152-5 9.478649+0 1.091813-5 1.120849+1 1.094983-5 1.423232+1 1.102458-5 2.351145+1 1.105828-5 2.662236+1 1.108297-5 2.772560+1 1.110988-5 2.740723+1 1.113787-5 2.554265+1 1.118897-5 1.996911+1 1.123057-5 1.538479+1 1.126134-5 1.324092+1 1.129281-5 1.213893+1 1.133029-5 1.199153+1 1.142885-5 1.294553+1 1.155593-5 1.235915+1 1.189040-5 1.211579+1 1.213127-5 1.094448+1 1.418536-5 8.983802+0 1.425628-5 1.106535+1 1.429119-5 1.280299+1 1.433020-5 1.584366+1 1.436511-5 1.951062+1 1.446467-5 3.200133+1 1.450534-5 3.511430+1 1.453905-5 3.583123+1 1.457548-5 3.434633+1 1.460950-5 3.122936+1 1.470796-5 1.862599+1 1.474724-5 1.463927+1 1.477779-5 1.227952+1 1.481707-5 1.034181+1 1.488253-5 8.249003+0 1.700690-5 6.354663+0 1.879807-5 5.132810+0 2.050773-5 4.245806+0 2.065916-5 4.496527+0 2.076011-5 4.962150+0 2.091155-5 5.979580+0 2.096810-5 6.210134+0 2.102616-5 6.237604+0 2.108422-5 6.047063+0 2.121576-5 5.126865+0 2.131536-5 4.436469+0 2.141632-5 4.035801+0 2.153704-5 3.835323+0 2.170212-5 3.904814+0 2.197069-5 4.304915+0 2.207832-5 4.296962+0 2.238072-5 3.977517+0 2.313424-5 3.682757+0 2.361539-5 3.455869+0 2.574902-5 2.850389+0 2.813677-5 2.346009+0 3.070577-5 1.945536+0 3.402868-5 1.569585+0 3.557751-5 1.439889+0 3.575674-5 2.284872+0 3.584431-5 2.980339+0 3.593188-5 4.028860+0 3.602970-5 5.653338+0 3.628214-5 1.066645+1 3.638330-5 1.202056+1 3.646789-5 1.260137+1 3.656604-5 1.236809+1 3.681301-5 1.027680+1 3.691973-5 9.875261+0 3.705805-5 9.999276+0 3.719611-5 1.013613+1 3.725609-5 9.933268+0 3.742749-5 8.283882+0 3.768467-5 4.385465+0 3.777412-5 3.277689+0 3.786357-5 2.460853+0 3.795303-5 1.916887+0 3.813193-5 1.247446+0 3.969008-5 1.152569+0 3.988546-5 1.221580+0 3.998316-5 1.282206+0 4.012969-5 1.442719+0 4.047162-5 2.004054+0 4.056931-5 2.115416+0 4.066700-5 2.154081+0 4.079404-5 2.072222+0 4.093228-5 1.870746+0 4.115546-5 1.466496+0 4.125315-5 1.322369+0 4.135084-5 1.215102+0 4.144854-5 1.142339+0 4.164392-5 1.049647+0 4.189950-5 1.037123+0 4.210576-5 1.229247+0 4.220889-5 1.391361+0 4.231202-5 1.639597+0 4.243682-5 2.070920+0 4.272454-5 3.256646+0 4.284056-5 3.561196+0 4.294453-5 3.657297+0 4.305385-5 3.549911+0 4.317303-5 3.233112+0 4.339639-5 2.516053+0 4.346437-5 2.338060+0 4.354958-5 2.192100+0 4.365271-5 2.127250+0 4.399068-5 2.303143+0 4.409792-5 2.394367+0 4.424384-5 2.452167+0 4.462818-5 2.375520+0 4.507299-5 2.245916+0 4.541661-5 2.264197+0 4.586060-5 2.399774+0 4.608636-5 2.580041+0 4.631212-5 2.885376+0 4.653397-5 3.385022+0 4.688474-5 4.228030+0 4.699634-5 4.373908+0 4.714094-5 4.413346+0 4.762205-5 4.089580+0 4.779671-5 4.148773+0 4.904536-5 5.818275+0 4.971593-5 7.042458+0 5.035311-5 8.684172+0 5.118505-5 1.149971+1 5.619973-5 3.375011+1 5.900000-5 4.852573+1 6.040000-5 5.301518+1 6.174463-5 5.313926+1 6.414056-5 4.819014+1 6.854058-5 3.773726+1 7.275742-5 3.014935+1 7.740161-5 2.398317+1 8.282084-5 1.865341+1 8.810489-5 1.478524+1 9.382989-5 1.165320+1 9.859466-5 9.657072+0 1.039247-4 7.936834+0 1.100887-4 6.423604+0 1.118802-4 6.055328+0 1.127063-4 6.122358+0 1.133143-4 6.431980+0 1.143999-4 7.249512+0 1.149799-4 7.266647+0 1.161466-4 6.698165+0 1.207447-4 5.885772+0 1.310720-4 4.564348+0 1.401237-4 3.685883+0 1.430736-4 3.495515+0 1.440640-4 3.557125+0 1.458938-4 3.852027+0 1.491178-4 3.933252+0 1.647160-4 3.033818+0 1.760000-4 2.579421+0 1.811416-4 2.448414+0 1.824726-4 2.501953+0 1.842473-4 2.640052+0 1.855783-4 2.576182+0 1.877967-4 2.305754+0 1.891996-4 2.231176+0 1.927703-4 2.214993+0 1.962700-4 2.261811+0 2.052055-4 2.140797+0 2.077690-4 2.201255+0 2.179593-4 2.909971+0 2.221250-4 2.996397+0 2.327000-4 2.899023+0 2.412375-4 2.976582+0 2.490500-4 3.226555+0 2.565210-4 3.643814+0 2.642062-4 4.270991+0 2.710444-4 5.023956+0 2.800468-4 6.316922+0 2.900077-4 8.106960+0 3.211818-4 1.482755+1 3.481186-4 2.057056+1 3.732160-4 2.479676+1 4.061498-4 2.867589+1 4.433813-4 3.128313+1 4.976076-4 3.343985+1 5.305197-4 3.569881+1 5.902257-4 3.625771+1 7.322633-4 3.389769+1 7.524564-4 3.506847+1 9.968509-4 2.932516+1 1.104396-3 2.737675+1 1.355101-3 2.257530+1 1.603246-3 1.895136+1 1.916416-3 1.553848+1 2.291019-3 1.259716+1 2.702506-3 1.028377+1 2.733665-3 1.032625+1 2.747118-3 1.082756+1 2.757284-3 1.176241+1 2.767043-3 1.329585+1 2.778330-3 1.582155+1 2.802080-3 2.168228+1 2.816646-3 2.393687+1 2.833930-3 2.498405+1 2.876583-3 2.562324+1 2.895404-3 2.728894+1 2.931068-3 3.233806+1 2.953171-3 3.376132+1 3.029274-3 3.290143+1 3.337365-3 2.846145+1 3.379828-3 2.904099+1 3.432002-3 3.107621+1 3.526212-3 3.039288+1 3.952687-3 2.592458+1 4.060715-3 2.623106+1 4.256034-3 2.486959+1 4.362150-3 2.474154+1 5.038087-3 2.017861+1 5.866578-3 1.617183+1 6.735944-3 1.314938+1 7.784846-3 1.056055+1 8.849540-3 8.669353+0 1.015492-2 6.993364+0 1.153122-2 5.725288+0 1.320800-2 4.610907+0 1.390276-2 4.271051+0 1.399469-2 4.394442+0 1.405028-2 4.678971+0 1.410045-2 5.167572+0 1.415467-2 5.967909+0 1.428269-2 8.292064+0 1.435095-2 9.159246+0 1.444845-2 9.676280+0 1.471571-2 9.557922+0 1.650719-2 7.897224+0 1.666014-2 8.056795+0 1.678290-2 8.692986+0 1.694504-2 9.837017+0 1.708919-2 1.027808+1 1.733219-2 1.045169+1 1.762198-2 1.122042+1 1.793292-2 1.114364+1 2.074316-2 8.899088+0 2.372556-2 7.197511+0 2.676321-2 5.929423+0 3.049478-2 4.789098+0 3.382023-2 4.039614+0 3.782268-2 3.352073+0 4.166090-2 2.850203+0 4.710917-2 2.315066+0 5.308844-2 1.889489+0 5.962248-2 1.547894+0 6.730427-2 1.256009+0 7.577040-2 1.023017+0 8.521332-2 8.343629-1 9.377704-2 7.108235-1 9.431253-2 7.336101-1 9.464756-2 7.883363-1 9.492678-2 8.810143-1 9.520294-2 1.031362+0 9.546045-2 1.231477+0 9.575088-2 1.519364+0 9.647899-2 2.328697+0 9.691786-2 2.690824+0 9.746504-2 2.919244+0 9.845126-2 2.975347+0 1.147827-1 2.346258+0 1.278501-1 1.974600+0 1.470522-1 1.576885+0 1.639091-1 1.321766+0 1.850990-1 1.085053+0 2.080043-1 8.980045-1 2.358187-1 7.330607-1 2.674958-1 5.997900-1 3.030087-1 4.934442-1 3.408616-1 4.117878-1 3.871574-1 3.407397-1 4.393519-1 2.841570-1 5.000404-1 2.375783-1 5.754399-1 1.974129-1 6.563105-1 1.674588-1 7.449194-1 1.440423-1 8.609938-1 1.224910-1 9.900596-1 1.059539-1 1.173502+0 8.778116-2 1.347258+0 7.506702-2 1.561932+0 6.351438-2 1.859734+0 5.209680-2 2.135261+0 4.454749-2 2.451607+0 3.809215-2 2.814822+0 3.257225-2 3.231848+0 2.785223-2 3.710658+0 2.381619-2 4.260405+0 2.036500-2 4.902010+0 1.737394-2 5.616308+0 1.489049-2 6.448384+0 1.273272-2 7.403736+0 1.088763-2 8.500626+0 9.309912-3 9.760024+0 7.960820-3 1.000000+1 1.654930-2 1 85000 7 0 2.100000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-8.497149+1 3.014501-6-8.463193+1 4.821732-6-8.210220+1 5.114002-6-7.832352+1 5.193948-6-7.383997+1 5.261217-6-6.344125+1 5.282439-6-6.305677+1 5.300857-6-6.696462+1 5.322053-6-7.701813+1 5.334616-6-8.455571+1 5.349919-6-7.890281+1 5.369542-6-7.054815+1 5.388145-6-6.717726+1 5.412169-6-6.851672+1 5.481641-6-7.903204+1 5.586354-6-8.384358+1 5.785503-6-8.612115+1 6.510179-6-7.958704+1 6.696382-6-7.396019+1 6.771358-6-6.788454+1 6.828303-6-5.657624+1 6.867501-6-4.825746+1 6.883183-6-4.690911+1 6.897320-6-4.812380+1 6.915233-6-5.293968+1 6.934043-6-6.243508+1 6.963818-6-8.432738+1 6.967860-6-8.773453+1 6.989850-6-7.251657+1 7.007022-6-6.379957+1 7.028277-6-5.824451+1 7.045723-6-5.730700+1 7.079173-6-6.138308+1 7.151571-6-7.165893+1 7.301051-6-8.382866+1 7.387279-6-8.846422+1 7.471894-6-8.225246+1 7.562228-6-7.385700+1 7.598895-6-7.611921+1 7.633828-6-8.420507+1 7.649079-6-8.884119+1 7.697778-6-7.683195+1 7.731909-6-7.414044+1 7.775290-6-7.745876+1 7.862561-6-8.974506+1 7.919441-6-8.792936+1 7.952543-6-8.991319+1 8.026152-6-8.401894+1 8.171531-6-8.610556+1 8.512250-6-8.536897+1 8.681544-6-8.930042+1 8.755909-6-8.481897+1 8.831728-6-7.894229+1 8.910671-6-7.931596+1 9.112936-6-8.267626+1 1.000010-5-8.617314+1 1.014558-5-8.155908+1 1.026591-5-7.602096+1 1.032335-5-7.851371+1 1.037989-5-8.564433+1 1.045002-5-7.564234+1 1.050508-5-7.331867+1 1.064004-5-7.850692+1 1.081202-5-8.578747+1 1.096390-5-7.814028+1 1.102458-5-8.046708+1 1.107077-5-8.537228+1 1.115133-5-7.408513+1 1.120778-5-7.154640+1 1.137791-5-7.783875+1 1.366188-5-7.907914+1 1.406552-5-8.089731+1 1.421008-5-7.620364+1 1.436511-5-6.987213+1 1.442866-5-7.181124+1 1.449381-5-7.935967+1 1.450534-5-8.034731+1 1.460541-5-6.421800+1 1.466446-5-5.934859+1 1.472542-5-5.908107+1 1.494817-5-6.802714+1 1.527500-5-7.141511+1 1.700690-5-7.382119+1 2.070964-5-7.633315+1 2.131536-5-7.407726+1 2.215798-5-7.516489+1 3.357749-5-8.055664+1 3.553334-5-8.335776+1 3.613164-5-7.989766+1 3.645813-5-8.401216+1 3.678031-5-7.951252+1 3.721800-5-7.714716+1 3.759521-5-7.395399+1 3.862131-5-7.941378+1 4.066700-5-8.279211+1 4.220889-5-8.571301+1 4.294453-5-8.562961+1 4.368526-5-8.596462+1 4.723392-5-9.183155+1 5.227231-5-1.037697+2 5.639973-5-1.024530+2 5.851637-5-9.615443+1 6.280000-5-6.966753+1 6.452621-5-6.280353+1 6.699648-5-5.705422+1 7.038494-5-5.296735+1 7.602033-5-5.039711+1 8.660663-5-5.036040+1 1.118802-4-5.587089+1 1.143999-4-5.654692+1 1.182595-4-5.602065+1 1.517086-4-5.982151+1 2.085933-4-6.482544+1 2.541205-4-6.965554+1 3.040000-4-7.605121+1 3.427843-4-7.586334+1 4.821665-4-6.118318+1 5.041728-4-6.019085+1 6.111039-4-4.894550+1 7.018160-4-4.312348+1 7.465815-4-4.204035+1 7.765578-4-3.927364+1 8.657141-4-3.504340+1 9.968509-4-3.096052+1 1.159150-3-2.729384+1 1.355101-3-2.487540+1 1.603246-3-2.354619+1 1.916416-3-2.351802+1 2.207154-3-2.490966+1 2.428535-3-2.730495+1 2.573195-3-3.021382+1 2.660725-3-3.331702+1 2.716741-3-3.695821+1 2.750714-3-4.150398+1 2.778330-3-4.565343+1 2.797086-3-4.566175+1 2.841425-3-4.057506+1 2.869354-3-3.990710+1 2.908030-3-4.061207+1 2.931068-3-3.854002+1 2.969020-3-3.343577+1 3.007891-3-3.014023+1 3.082739-3-2.651974+1 3.189701-3-2.348891+1 3.294601-3-2.201647+1 3.353830-3-2.232328+1 3.391253-3-2.283888+1 3.421187-3-2.201188+1 3.480947-3-1.930132+1 3.561119-3-1.728340+1 3.701864-3-1.510825+1 3.860864-3-1.366951+1 3.952687-3-1.356236+1 4.007750-3-1.336704+1 4.087437-3-1.213030+1 4.192465-3-1.128220+1 4.298006-3-1.090621+1 4.393238-3-9.746456+0 4.569481-3-8.456741+0 4.837524-3-7.156636+0 5.143396-3-6.154212+0 5.529600-3-5.299202+0 5.998499-3-4.651904+0 6.531306-3-4.260065+0 7.161434-3-4.053139+0 8.133058-3-4.057394+0 9.306279-3-4.364849+0 1.062307-2-4.964372+0 1.192035-2-5.854677+0 1.279748-2-6.795482+0 1.337106-2-7.789110+0 1.371277-2-8.796154+0 1.390276-2-9.804620+0 1.405028-2-1.126801+1 1.415467-2-1.235433+1 1.422555-2-1.254527+1 1.430707-2-1.201836+1 1.448161-2-1.004797+1 1.464393-2-8.945648+0 1.488453-2-8.072701+0 1.524491-2-7.367157+0 1.568095-2-6.982978+0 1.613941-2-6.998410+0 1.643722-2-7.370715+0 1.666014-2-8.191523+0 1.682093-2-8.732819+0 1.694504-2-8.487665+0 1.714504-2-7.630616+0 1.750098-2-7.098130+0 1.785208-2-5.717687+0 1.817162-2-4.932912+0 1.865788-2-4.147118+0 1.934438-2-3.380390+0 1.987672-2-2.932816+0 2.074316-2-2.390974+0 2.167884-2-1.967201+0 2.276292-2-1.612788+0 2.372556-2-1.379356+0 2.485794-2-1.174504+0 2.624596-2-1.005224+0 2.803581-2-8.607492-1 2.958535-2-7.924708-1 3.214304-2-7.460718-1 3.526875-2-7.502929-1 4.067369-2-8.435231-1 5.734249-2-1.277190+0 7.269111-2-1.720513+0 8.142233-2-2.054701+0 8.684949-2-2.368243+0 9.039470-2-2.700366+0 9.246880-2-3.025942+0 9.377704-2-3.383882+0 9.464756-2-3.822390+0 9.565381-2-4.451322+0 9.621719-2-4.508585+0 9.691786-2-4.143945+0 9.786183-2-3.487559+0 9.878420-2-3.077227+0 1.000771-1-2.726663+0 1.022190-1-2.357527+0 1.051604-1-2.035806+0 1.092306-1-1.737933+0 1.123030-1-1.576031+0 1.182106-1-1.360629+0 1.249530-1-1.199011+0 1.348963-1-1.046470+0 1.470522-1-9.381158-1 1.639091-1-8.664230-1 1.919967-1-8.310148-1 2.561770-1-8.596073-1 4.208818-1-9.644106-1 6.871179-1-1.033481+0 1.419938+0-1.068796+0 4.260405+0-1.082476+0 1.000000+1-1.083305+0 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 8.585154-4 1.069355-6 1.116214-3 1.102772-6 1.260613-3 1.137234-6 1.429806-3 1.200000-6 1.796136-3 1.247216-6 2.098641-3 1.286191-6 2.384825-3 1.350000-6 2.936140-3 1.410579-6 3.532526-3 1.454660-6 4.037397-3 1.536000-6 5.134088-3 1.595340-6 6.012096-3 1.749626-6 8.979467-3 1.804302-6 1.027072-2 1.860686-6 1.180047-2 1.922168-6 1.369445-2 1.978796-6 1.552507-2 2.237984-6 2.677698-2 2.307921-6 3.078029-2 2.531120-6 4.743717-2 2.610217-6 5.495247-2 2.775905-6 7.407264-2 2.862652-6 8.625372-2 2.952110-6 1.007817-1 3.139500-6 1.385013-1 3.234291-6 1.621344-1 3.326120-6 1.887339-1 3.417188-6 2.190774-1 3.584744-6 2.868966-1 3.665621-6 3.267170-1 3.819873-6 4.182272-1 3.964634-6 5.268688-1 4.033639-6 5.878117-1 4.165249-6 7.252943-1 4.227985-6 8.027083-1 4.349537-6 9.770070-1 4.463492-6 1.177568+0 4.570324-6 1.405919+0 4.670480-6 1.665024+0 4.764376-6 1.958294+0 4.852403-6 2.288126+0 4.934929-6 2.658361+0 5.021178-6 3.122526+0 5.084829-6 3.526754+0 5.153466-6 4.038564+0 5.216577-6 4.591304+0 5.276342-6 5.206276+0 5.332372-6 5.883608+0 5.384899-6 6.626609+0 5.434144-6 7.438106+0 5.480311-6 8.322742+0 5.523592-6 9.286507+0 5.564169-6 1.033523+1 5.602209-6 1.147414+1 5.637872-6 1.270810+1 5.671306-6 1.404248+1 5.702650-6 1.548377+1 5.732035-6 1.703918+1 5.759584-6 1.871602+1 5.785411-6 2.052134+1 5.809623-6 2.246183+1 5.832323-6 2.454397+1 5.856236-6 2.707201+1 5.875334-6 2.939050+1 5.892258-6 3.171345+1 5.909793-6 3.443942+1 5.926232-6 3.734937+1 5.941643-6 4.045369+1 5.956091-6 4.376339+1 5.969636-6 4.729059+1 5.982335-6 5.104908+1 5.994240-6 5.505501+1 6.005401-6 5.932745+1 6.015864-6 6.388843+1 6.035483-6 7.434773+1 6.052649-6 8.636532+1 6.067670-6 1.000998+2 6.080813-6 1.155783+2 6.092313-6 1.326614+2 6.102376-6 1.510578+2 6.111180-6 1.703722+2 6.118885-6 1.901649+2 6.125626-6 2.100050+2 6.136686-6 2.483568+2 6.173764-6 4.422780+2 6.183334-6 5.110834+2 6.188008-6 5.475804+2 6.195604-6 6.108270+2 6.203201-6 6.786522+2 6.218395-6 8.259186+2 6.220294-6 8.451930+2 6.233588-6 9.832380+2 6.238811-6 1.038077+3 6.248782-6 1.141521+3 6.256498-6 1.218672+3 6.263976-6 1.289338+3 6.271691-6 1.356381+3 6.279169-6 1.414155+3 6.284518-6 1.450344+3 6.291158-6 1.488523+3 6.295312-6 1.508291+3 6.304215-6 1.539119+3 6.310951-6 1.551419+3 6.320222-6 1.552211+3 6.325793-6 1.543633+3 6.340648-6 1.488579+3 6.345387-6 1.461765+3 6.356532-6 1.383168+3 6.362407-6 1.334023+3 6.367359-6 1.289114+3 6.372230-6 1.242282+3 6.378046-6 1.183488+3 6.385524-6 1.104429+3 6.392172-6 1.032023+3 6.399116-6 9.554154+2 6.408315-6 8.542508+2 6.415912-6 7.724711+2 6.424458-6 6.838385+2 6.431105-6 6.181545+2 6.446299-6 4.811994+2 6.451522-6 4.388237+2 6.456507-6 4.007364+2 6.461492-6 3.649792+2 6.465291-6 3.392986+2 6.473837-6 2.863922+2 6.481540-6 2.443197+2 6.489787-6 2.048490+2 6.497950-6 1.710718+2 6.503341-6 1.514220+2 6.508691-6 1.338612+2 6.513999-6 1.182080+2 6.524491-6 9.193580+1 6.534819-6 7.132335+1 6.544987-6 5.525541+1 6.554996-6 4.279018+1 6.569758-6 2.916109+1 6.579419-6 2.261078+1 6.588930-6 1.756253+1 6.598292-6 1.366899+1 6.616580-6 8.339075+0 6.634300-6 5.155133+0 6.642953-6 4.086840+0 6.651471-6 3.269176+0 6.659856-6 2.649429+0 6.668110-6 2.186653+0 6.676235-6 1.848640+0 6.684233-6 1.609689+0 6.692106-6 1.448987+0 6.699856-6 1.349446+0 6.707485-6 1.296874+0 6.714994-6 1.279385+0 6.722387-6 1.286996+0 6.729664-6 1.311333+0 6.736827-6 1.345429+0 6.743878-6 1.383567+0 6.757652-6 1.454627+0 6.774199-6 1.504804+0 6.776621-6 1.507278+0 6.789324-6 1.496418+0 6.807726-6 1.408873+0 6.825371-6 1.257370+0 6.836706-6 1.136898+0 6.847687-6 1.011997+0 6.858325-6 8.904140-1 6.878936-6 6.760575-1 6.898259-6 5.261990-1 6.916375-6 4.475919-1 6.960237-6 5.361805-1 7.103622-6 3.038437+0 7.188104-6 6.190045+0 7.205797-6 7.068671+0 7.223489-6 8.036349+0 7.241182-6 9.100218+0 7.258874-6 1.026811+1 7.276567-6 1.154870+1 7.294260-6 1.295183+1 7.329645-6 1.617247+1 7.365030-6 2.004271+1 7.435800-6 3.038592+1 7.471186-6 3.733955+1 7.506571-6 4.596633+1 7.542415-6 5.699368+1 7.560491-6 6.369103+1 7.578566-6 7.134602+1 7.596641-6 8.015685+1 7.614717-6 9.038275+1 7.632792-6 1.023721+2 7.650867-6 1.166064+2 7.668942-6 1.337676+2 7.687018-6 1.548375+2 7.705093-6 1.812324+2 7.722883-6 2.143715+2 7.738450-6 2.512853+2 7.752071-6 2.915570+2 7.763989-6 3.344814+2 7.774417-6 3.791678+2 7.783542-6 4.246594+2 7.798512-6 5.144825+2 7.819908-6 6.824810+2 7.847416-6 9.833968+2 7.865149-6 1.236338+3 7.870374-6 1.320210+3 7.886047-6 1.597299+3 7.895962-6 1.791549+3 7.899268-6 1.859338+3 7.918615-6 2.282417+3 7.921034-6 2.337945+3 7.937963-6 2.736788+3 7.944614-6 2.895844+3 7.958893-6 3.233940+3 7.967050-6 3.420866+3 7.976784-6 3.633381+3 7.986715-6 3.833868+3 7.993427-6 3.957592+3 8.003020-6 4.114715+3 8.011885-6 4.236370+3 8.016564-6 4.290521+3 8.027900-6 4.390592+3 8.036478-6 4.435331+3 8.048284-6 4.451404+3 8.057292-6 4.427883+3 8.062463-6 4.400568+3 8.071668-6 4.327801+3 8.078667-6 4.252696+3 8.093339-6 4.044892+3 8.100877-6 3.914696+3 8.110720-6 3.724736+3 8.119460-6 3.540486+3 8.127888-6 3.352137+3 8.137139-6 3.136873+3 8.145593-6 2.935442+3 8.153745-6 2.739585+3 8.163300-6 2.511073+3 8.172567-6 2.293406+3 8.181071-6 2.099291+3 8.189576-6 1.912273+3 8.209202-6 1.514501+3 8.233724-6 1.094714+3 8.244077-6 9.445539+2 8.255436-6 7.978815+2 8.262996-6 7.103513+2 8.272988-6 6.063642+2 8.287707-6 4.756991+2 8.292614-6 4.376418+2 8.307334-6 3.382851+2 8.312240-6 3.097051+2 8.326960-6 2.359488+2 8.339226-6 1.865774+2 8.346586-6 1.615111+2 8.361306-6 1.201729+2 8.373647-6 9.322034+1 8.396353-6 5.814347+1 8.404487-6 4.930052+1 8.412486-6 4.220463+1 8.426410-6 3.320868+1 8.451430-6 2.636408+1 8.464918-6 2.728303+1 8.476297-6 3.063076+1 8.485736-6 3.532602+1 8.490671-6 3.852548+1 8.495356-6 4.206526+1 8.502495-6 4.845683+1 8.512712-6 5.986782+1 8.532501-6 9.057330+1 8.538671-6 1.027424+2 8.573816-6 1.991338+2 8.579143-6 2.180007+2 8.592929-6 2.720351+2 8.601298-6 3.083443+2 8.618530-6 3.904049+2 8.626613-6 4.316635+2 8.639537-6 5.000569+2 8.645622-6 5.328247+2 8.652132-6 5.679400+2 8.657449-6 5.964558+2 8.661437-6 6.176365+2 8.670409-6 6.642308+2 8.677044-6 6.973380+2 8.685814-6 7.386703+2 8.693139-6 7.705454+2 8.701674-6 8.040159+2 8.703870-6 8.119125+2 8.713717-6 8.433305+2 8.722525-6 8.654156+2 8.728137-6 8.762870+2 8.738408-6 8.893746+2 8.745672-6 8.931535+2 8.766551-6 8.785761+2 8.773103-6 8.664820+2 8.787896-6 8.272170+2 8.796281-6 7.984100+2 8.799108-6 7.877659+2 8.807590-6 7.533684+2 8.812761-6 7.308142+2 8.821557-6 6.902648+2 8.828292-6 6.578236+2 8.837916-6 6.102094+2 8.846811-6 5.657791+2 8.851690-6 5.415512+2 8.862180-6 4.905536+2 8.875112-6 4.312114+2 8.896004-6 3.479666+2 8.904682-6 3.190985+2 8.914136-6 2.918958+2 8.918457-6 2.809783+2 8.923390-6 2.696927+2 8.930789-6 2.551045+2 8.937262-6 2.446096+2 8.941143-6 2.393104+2 8.947889-6 2.318084+2 8.954399-6 2.265421+2 8.960709-6 2.231754+2 8.966033-6 2.215767+2 8.971788-6 2.210303+2 8.978937-6 2.219039+2 8.986575-6 2.245079+2 8.993586-6 2.281884+2 9.003629-6 2.351720+2 9.019283-6 2.487232+2 9.039357-6 2.677282+2 9.051696-6 2.787507+2 9.064292-6 2.885961+2 9.070234-6 2.925953+2 9.092654-6 3.033008+2 9.103374-6 3.058653+2 9.113023-6 3.068214+2 9.125429-6 3.063557+2 9.141493-6 3.034274+2 9.160341-6 2.977141+2 9.205681-6 2.816645+2 9.228538-6 2.755956+2 9.247803-6 2.723125+2 9.260381-6 2.710679+2 9.284441-6 2.703672+2 9.316289-6 2.717266+2 9.373253-6 2.755418+2 9.400936-6 2.762269+2 9.420659-6 2.758237+2 9.444962-6 2.740697+2 9.461902-6 2.719119+2 9.477135-6 2.692498+2 9.494071-6 2.654350+2 9.517454-6 2.586201+2 9.539952-6 2.503488+2 9.563003-6 2.402100+2 9.575223-6 2.342168+2 9.593554-6 2.245437+2 9.617761-6 2.108071+2 9.642269-6 1.962722+2 9.670948-6 1.792375+2 9.733118-6 1.460595+2 9.757540-6 1.354422+2 9.769755-6 1.307327+2 9.783425-6 1.259406+2 9.805834-6 1.191415+2 9.820522-6 1.153533+2 9.836599-6 1.117568+2 9.858971-6 1.075930+2 9.884390-6 1.038460+2 9.900867-6 1.018647+2 9.931761-6 9.887178+1 9.958793-6 9.685188+1 9.971733-6 9.605462+1 1.000000-5 9.471478+1 1.002196-5 9.415124+1 1.005341-5 9.445898+1 1.006315-5 9.493132+1 1.007706-5 9.601961+1 1.009480-5 9.827476+1 1.010810-5 1.007482+2 1.011808-5 1.031226+2 1.012557-5 1.052301+2 1.013679-5 1.089684+2 1.014958-5 1.141507+2 1.015830-5 1.182961+2 1.016531-5 1.220139+2 1.018549-5 1.347137+2 1.019798-5 1.441277+2 1.020658-5 1.513119+2 1.023256-5 1.763478+2 1.025988-5 2.073331+2 1.027928-5 2.312845+2 1.029438-5 2.503908+2 1.031000-5 2.699594+2 1.032151-5 2.839004+2 1.033555-5 2.999297+2 1.034941-5 3.142713+2 1.036404-5 3.273688+2 1.037731-5 3.370692+2 1.038756-5 3.429718+2 1.039936-5 3.479302+2 1.042434-5 3.515884+2 1.043239-5 3.507743+2 1.045088-5 3.453701+2 1.046454-5 3.384329+2 1.047898-5 3.287015+2 1.049303-5 3.172248+2 1.051020-5 3.010896+2 1.052269-5 2.883024+2 1.054142-5 2.681605+2 1.054767-5 2.613280+2 1.057265-5 2.342272+2 1.063509-5 1.757218+2 1.065161-5 1.636049+2 1.066748-5 1.533942+2 1.068297-5 1.447196+2 1.069798-5 1.374558+2 1.071252-5 1.313930+2 1.074186-5 1.216601+2 1.076711-5 1.154203+2 1.079380-5 1.104063+2 1.081679-5 1.070255+2 1.085862-5 1.023373+2 1.089671-5 9.907419+1 1.093093-5 9.661581+1 1.098836-5 9.307437+1 1.143024-5 7.256065+1 1.149305-5 7.028546+1 1.154168-5 6.885953+1 1.156954-5 6.829647+1 1.159740-5 6.807106+1 1.161829-5 6.826042+1 1.163955-5 6.894194+1 1.165103-5 6.959408+1 1.166436-5 7.067828+1 1.167591-5 7.196753+1 1.168947-5 7.399043+1 1.169971-5 7.595566+1 1.171192-5 7.888646+1 1.172276-5 8.211402+1 1.172973-5 8.454318+1 1.173708-5 8.744001+1 1.174889-5 9.288727+1 1.175672-5 9.710308+1 1.176456-5 1.018470+2 1.177675-5 1.103788+2 1.178850-5 1.200717+2 1.179938-5 1.304615+2 1.181146-5 1.437321+2 1.182709-5 1.638420+2 1.184009-5 1.833044+2 1.188289-5 2.663311+2 1.190479-5 3.202282+2 1.191172-5 3.388299+2 1.194082-5 4.239000+2 1.195020-5 4.533194+2 1.197076-5 5.200497+2 1.198009-5 5.509194+2 1.199342-5 5.950810+2 1.200414-5 6.301867+2 1.201617-5 6.686981+2 1.202912-5 7.084581+2 1.204062-5 7.417719+2 1.205436-5 7.784635+2 1.207086-5 8.170255+2 1.208495-5 8.444157+2 1.209226-5 8.563808+2 1.210648-5 8.749978+2 1.211926-5 8.861910+2 1.212732-5 8.904772+2 1.214174-5 8.927252+2 1.215157-5 8.902881+2 1.217313-5 8.740150+2 1.218481-5 8.592892+2 1.219780-5 8.384382+2 1.220615-5 8.227546+2 1.222007-5 7.930603+2 1.223349-5 7.608262+2 1.224469-5 7.316514+2 1.225910-5 6.917892+2 1.227365-5 6.496165+2 1.228820-5 6.063336+2 1.231002-5 5.409840+2 1.232094-5 5.087425+2 1.234322-5 4.451018+2 1.234640-5 4.363291+2 1.239005-5 3.269386+2 1.243785-5 2.355285+2 1.244887-5 2.190396+2 1.248102-5 1.809097+2 1.248999-5 1.728798+2 1.250169-5 1.640729+2 1.250805-5 1.600680+2 1.251532-5 1.561642+2 1.253711-5 1.486283+2 1.255670-5 1.470154+2 1.256515-5 1.477656+2 1.257507-5 1.497130+2 1.258454-5 1.526100+2 1.259496-5 1.569254+2 1.259857-5 1.586832+2 1.262654-5 1.765172+2 1.264196-5 1.891761+2 1.269068-5 2.380244+2 1.271128-5 2.605738+2 1.272987-5 2.806499+2 1.274685-5 2.980760+2 1.276350-5 3.138024+2 1.278006-5 3.276242+2 1.279736-5 3.397553+2 1.281222-5 3.480413+2 1.282183-5 3.522863+2 1.283559-5 3.568075+2 1.285201-5 3.598152+2 1.287332-5 3.600202+2 1.289038-5 3.574761+2 1.290912-5 3.523589+2 1.293111-5 3.440134+2 1.294716-5 3.368835+2 1.299975-5 3.125214+2 1.302985-5 3.010877+2 1.305784-5 2.936063+2 1.307933-5 2.901621+2 1.309409-5 2.889283+2 1.312182-5 2.888439+2 1.314772-5 2.909036+2 1.318506-5 2.962191+2 1.327392-5 3.114508+2 1.330896-5 3.165165+2 1.337359-5 3.239580+2 1.343984-5 3.297105+2 1.351006-5 3.336079+2 1.356073-5 3.340673+2 1.359587-5 3.327310+2 1.361478-5 3.313636+2 1.366081-5 3.260447+2 1.369633-5 3.200748+2 1.374407-5 3.099172+2 1.380384-5 2.950670+2 1.390132-5 2.709919+2 1.393910-5 2.630626+2 1.398618-5 2.547752+2 1.403320-5 2.482820+2 1.409913-5 2.417564+2 1.416609-5 2.373723+2 1.428151-5 2.327421+2 1.440073-5 2.297525+2 1.463455-5 2.259556+2 1.508065-5 2.212012+2 1.564431-5 2.160854+2 1.634904-5 2.093042+2 1.694831-5 2.029523+2 1.778280-5 1.936019+2 1.843596-5 1.861446+2 1.944240-5 1.747262+2 2.042303-5 1.636224+2 2.113930-5 1.554942+2 2.173875-5 1.486492+2 2.226567-5 1.420304+2 2.264372-5 1.361165+2 2.285975-5 1.314629+2 2.311242-5 1.248821+2 2.322619-5 1.232890+2 2.328308-5 1.234551+2 2.333997-5 1.245017+2 2.339686-5 1.265343+2 2.343976-5 1.287252+2 2.347962-5 1.312271+2 2.356683-5 1.378713+2 2.362939-5 1.430750+2 2.370209-5 1.487589+2 2.376042-5 1.524947+2 2.380453-5 1.546018+2 2.384047-5 1.557868+2 2.388796-5 1.565801+2 2.393657-5 1.564966+2 2.396574-5 1.560427+2 2.402312-5 1.543920+2 2.408124-5 1.519293+2 2.413641-5 1.491411+2 2.425018-5 1.431171+2 2.430992-5 1.402979+2 2.437240-5 1.378527+2 2.443166-5 1.360944+2 2.449997-5 1.347586+2 2.458004-5 1.340304+2 2.467629-5 1.340168+2 2.491502-5 1.350286+2 2.503023-5 1.350361+2 2.543120-5 1.333688+2 2.566428-5 1.322298+2 2.592228-5 1.302829+2 2.640442-5 1.255259+2 2.755876-5 1.188462+2 2.851018-5 1.130680+2 2.922680-5 1.086028+2 3.006806-5 1.032908+2 3.084325-5 9.839051+1 3.173247-5 9.277624+1 3.276800-5 8.626473+1 3.364940-5 8.072680+1 3.465671-5 7.439012+1 3.589219-5 6.667905+1 3.659880-5 6.229573+1 3.771447-5 5.542100+1 3.889140-5 4.823918+1 3.981072-5 4.267282+1 4.039142-5 3.922218+1 4.138864-5 3.338604+1 4.243586-5 2.737736+1 4.350000-5 2.146803+1 4.424231-5 1.755160+1 4.485551-5 1.446678+1 4.546937-5 1.154936+1 4.600650-5 9.166030+0 4.650892-5 7.122450+0 4.727743-5 4.284332+0 4.739379-5 3.878222+0 4.751016-5 3.484308+0 4.762653-5 3.108457+0 4.785926-5 2.446939+0 4.791582-5 2.313272+0 4.797563-5 2.187787+0 4.809200-5 2.001170+0 4.820837-5 1.911269+0 4.826655-5 1.911074+0 4.832473-5 1.945417+0 4.837847-5 2.010776+0 4.841734-5 2.079660+0 4.844821-5 2.147928+0 4.847802-5 2.225641+0 4.856746-5 2.530833+0 4.862708-5 2.795812+0 4.868671-5 3.109964+0 4.883577-5 4.095805+0 4.894011-5 4.924857+0 4.896620-5 5.144595+0 4.904445-5 5.820951+0 4.910407-5 6.341837+0 4.914197-5 6.669635+0 4.917312-5 6.934474+0 4.921303-5 7.264756+0 4.925567-5 7.602668+0 4.929230-5 7.877511+0 4.934038-5 8.212130+0 4.938675-5 8.502297+0 4.940220-5 8.591204+0 4.946183-5 8.894462+0 4.950654-5 9.077949+0 4.953636-5 9.178364+0 4.958853-5 9.311020+0 4.964070-5 9.388823+0 4.970904-5 9.410242+0 4.978149-5 9.340772+0 4.981686-5 9.276107+0 4.988829-5 9.093711+0 4.995222-5 8.883717+0 5.004177-5 8.542527+0 5.026348-5 7.682375+0 5.031740-5 7.508703+0 5.037596-5 7.346954+0 5.040763-5 7.272305+0 5.050264-5 7.105788+0 5.054157-5 7.062708+0 5.060012-5 7.024667+0 5.065837-5 7.016949+0 5.076504-5 7.071712+0 5.088244-5 7.215202+0 5.100851-5 7.439478+0 5.116194-5 7.782664+0 5.130461-5 8.166118+0 5.139702-5 8.456497+0 5.151752-5 8.903864+0 5.161275-5 9.329489+0 5.171010-5 9.847448+0 5.181094-5 1.048947+1 5.184811-5 1.075650+1 5.193091-5 1.141606+1 5.198051-5 1.185652+1 5.209394-5 1.300169+1 5.220698-5 1.434782+1 5.231503-5 1.584026+1 5.244406-5 1.790431+1 5.291477-5 2.829572+1 5.307034-5 3.273577+1 5.317700-5 3.602957+1 5.330550-5 4.020826+1 5.343574-5 4.459294+1 5.357414-5 4.929715+1 5.361147-5 5.055738+1 5.372347-5 5.428017+1 5.382551-5 5.756587+1 5.395671-5 6.161138+1 5.411535-5 6.626270+1 5.437979-5 7.390001+1 5.454614-5 7.914482+1 5.463524-5 8.225324+1 5.475791-5 8.698630+1 5.493145-5 9.472962+1 5.503744-5 1.001067+2 5.517798-5 1.079913+2 5.573200-5 1.465092+2 5.620895-5 1.887095+2 5.703926-5 2.899982+2 5.740096-5 3.468918+2 5.765646-5 3.910893+2 5.784981-5 4.262628+2 5.806539-5 4.667429+2 5.815767-5 4.843426+2 5.834319-5 5.199478+2 5.851902-5 5.536370+2 5.873322-5 5.940086+2 5.889975-5 6.244503+2 5.904987-5 6.508968+2 5.920000-5 6.762045+2 5.940998-5 7.094699+2 5.957461-5 7.337663+2 5.977500-5 7.613688+2 6.004160-5 7.954142+2 6.089512-5 9.006103+2 6.136436-5 9.681600+2 6.167059-5 1.018742+3 6.273466-5 1.225703+3 6.309573-5 1.296865+3 6.347174-5 1.364960+3 6.374362-5 1.409122+3 6.409993-5 1.460380+3 6.453070-5 1.513442+3 6.478085-5 1.540432+3 6.548203-5 1.603334+3 6.605625-5 1.641732+3 6.626171-5 1.652569+3 6.674127-5 1.671667+3 6.721662-5 1.681963+3 6.788013-5 1.683961+3 6.853989-5 1.677061+3 6.982365-5 1.653013+3 7.027500-5 1.640549+3 7.138066-5 1.600293+3 7.286134-5 1.545004+3 7.456067-5 1.489827+3 7.588440-5 1.445291+3 7.680671-5 1.410329+3 7.952895-5 1.299643+3 8.070027-5 1.257596+3 8.326397-5 1.179135+3 8.615494-5 1.106012+3 9.216000-5 9.842022+2 1.107323-4 7.257231+2 1.150743-4 6.783250+2 1.176189-4 6.500414+2 1.199258-4 6.210479+2 1.213674-4 5.971794+2 1.226684-4 5.730979+2 1.229916-4 5.687837+2 1.232851-4 5.662068+2 1.235934-4 5.651950+2 1.239180-4 5.661981+2 1.243953-4 5.713847+2 1.251037-4 5.846280+2 1.258454-4 5.991644+2 1.263668-4 6.065352+2 1.268350-4 6.104908+2 1.272688-4 6.121687+2 1.280965-4 6.116752+2 1.291638-4 6.068396+2 1.308079-4 5.955555+2 1.335176-4 5.797145+2 1.431645-4 5.348246+2 1.460564-4 5.213662+2 1.490000-4 5.071577+2 1.523931-4 4.891954+2 1.553385-4 4.696351+2 1.569406-4 4.584874+2 1.579248-4 4.541702+2 1.589839-4 4.529717+2 1.602573-4 4.550147+2 1.621810-4 4.592256+2 1.630875-4 4.600566+2 1.648748-4 4.587332+2 1.682374-4 4.518268+2 1.721083-4 4.425325+2 1.785963-4 4.252915+2 1.859323-4 4.045155+2 1.907600-4 3.907433+2 1.950000-4 3.783852+2 2.000000-4 3.637384+2 2.062574-4 3.440392+2 2.079154-4 3.389802+2 2.110193-4 3.317069+2 2.132375-4 3.269164+2 2.148727-4 3.227201+2 2.171788-4 3.160336+2 2.253000-4 2.906800+2 2.287529-4 2.777203+2 2.309835-4 2.698377+2 2.334330-4 2.633057+2 2.374370-4 2.555532+2 2.402117-4 2.521915+2 2.443500-4 2.484434+2 2.470000-4 2.445654+2 2.510000-4 2.361132+2 2.540973-4 2.281140+2 2.570396-4 2.197775+2 2.595000-4 2.124762+2 2.623225-4 2.038724+2 2.670000-4 1.893336+2 2.722500-4 1.730711+2 2.790000-4 1.532218+2 2.884032-4 1.293164+2 2.911270-4 1.236516+2 2.929194-4 1.203315+2 2.949949-4 1.169353+2 2.980241-4 1.128961+2 3.011953-4 1.099335+2 3.034895-4 1.087127+2 3.081413-4 1.087009+2 3.126079-4 1.118657+2 3.180533-4 1.198995+2 3.236103-4 1.325529+2 3.289278-4 1.484917+2 3.335224-4 1.651108+2 3.365000-4 1.772084+2 3.470000-4 2.276602+2 3.532457-4 2.624769+2 3.600000-4 3.036015+2 3.650000-4 3.359577+2 3.692698-4 3.644434+2 3.730000-4 3.898736+2 3.790000-4 4.313837+2 3.855226-4 4.766951+2 3.936600-4 5.327415+2 4.023858-4 5.916736+2 4.123365-4 6.573061+2 4.223038-4 7.214656+2 4.357313-4 8.045121+2 4.494761-4 8.853417+2 4.623810-4 9.554198+2 4.759134-4 1.021378+3 4.915200-4 1.086651+3 5.011872-4 1.120171+3 5.103355-4 1.145733+3 5.156152-4 1.157138+3 5.208072-4 1.170777+3 5.245418-4 1.187426+3 5.276657-4 1.207267+3 5.346840-4 1.262004+3 5.406936-4 1.304048+3 5.520365-4 1.366298+3 5.583826-4 1.407836+3 5.686200-4 1.484366+3 5.772218-4 1.539252+3 5.928478-4 1.621449+3 6.162880-4 1.725140+3 6.383322-4 1.805154+3 6.634083-4 1.880734+3 6.995164-4 1.970890+3 7.342707-4 2.034410+3 7.531156-4 2.051723+3 7.632463-4 2.057453+3 7.683958-4 2.064282+3 7.734956-4 2.077892+3 7.785669-4 2.099594+3 7.882595-4 2.154631+3 7.973326-4 2.202014+3 8.092043-4 2.245578+3 8.328869-4 2.302872+3 8.622337-4 2.354835+3 8.958723-4 2.400247+3 9.326433-4 2.437749+3 9.667460-4 2.489866+3 1.000854-3 2.524519+3 1.036819-3 2.546811+3 1.057208-3 2.553529+3 1.069214-3 2.562213+3 1.100080-3 2.603967+3 1.132484-3 2.631871+3 1.186411-3 2.659758+3 1.245410-3 2.677031+3 1.312856-3 2.679274+3 1.382400-3 2.673492+3 1.462966-3 2.660021+3 1.548817-3 2.638991+3 1.642657-3 2.606288+3 1.748305-3 2.554196+3 1.862087-3 2.491917+3 1.973991-3 2.423175+3 2.073214-3 2.350054+3 2.179684-3 2.264728+3 2.278682-3 2.176595+3 2.368664-3 2.084710+3 2.440983-3 2.002533+3 2.513553-3 1.910619+3 2.573643-3 1.824544+3 2.625969-3 1.738948+3 2.671102-3 1.653431+3 2.709265-3 1.569755+3 2.736431-3 1.501101+3 2.766477-3 1.411835+3 2.788409-3 1.332831+3 2.806000-3 1.256614+3 2.819856-3 1.187313+3 2.835669-3 1.102162+3 2.849491-3 1.032728+3 2.855819-3 1.006735+3 2.859493-3 9.942501+2 2.863283-3 9.837809+2 2.866386-3 9.772388+2 2.869958-3 9.721666+2 2.873174-3 9.699870+2 2.876843-3 9.703766+2 2.881362-3 9.751519+2 2.885685-3 9.841250+2 2.889551-3 9.956567+2 2.893457-3 1.010438+3 2.897359-3 1.028035+3 2.902724-3 1.056145+3 2.922488-3 1.179875+3 2.931893-3 1.237576+3 2.937204-3 1.267027+3 2.945484-3 1.306987+3 2.955229-3 1.344174+3 2.965513-3 1.373423+3 2.990268-3 1.428955+3 2.997250-3 1.448911+3 3.004893-3 1.476241+3 3.013713-3 1.516247+3 3.017878-3 1.538421+3 3.026044-3 1.587570+3 3.056942-3 1.810862+3 3.065694-3 1.872939+3 3.077427-3 1.948445+3 3.090705-3 2.020989+3 3.105719-3 2.087073+3 3.121748-3 2.142701+3 3.142996-3 2.200410+3 3.164784-3 2.247625+3 3.192831-3 2.296674+3 3.225665-3 2.341694+3 3.260490-3 2.377777+3 3.298529-3 2.405803+3 3.340364-3 2.424682+3 3.373844-3 2.429641+3 3.409718-3 2.422295+3 3.469430-3 2.385196+3 3.483074-3 2.382337+3 3.495909-3 2.386905+3 3.507519-3 2.398523+3 3.526231-3 2.432311+3 3.567662-3 2.542963+3 3.586038-3 2.589250+3 3.606051-3 2.630327+3 3.631116-3 2.668458+3 3.664244-3 2.703114+3 3.699905-3 2.729178+3 3.742765-3 2.751686+3 3.794382-3 2.770596+3 3.858084-3 2.784940+3 3.908534-3 2.789726+3 3.964099-3 2.788216+3 4.012084-3 2.780063+3 4.106541-3 2.746016+3 4.145747-3 2.746252+3 4.240340-3 2.795867+3 4.275014-3 2.805646+3 4.315654-3 2.808155+3 4.419897-3 2.796360+3 4.459995-3 2.803285+3 4.551190-3 2.837169+3 4.591201-3 2.844925+3 4.722732-3 2.848325+3 4.883712-3 2.834674+3 5.128614-3 2.797786+3 5.397436-3 2.744011+3 5.855876-3 2.638087+3 6.294528-3 2.526649+3 6.712356-3 2.417636+3 7.237624-3 2.283450+3 7.723471-3 2.165462+3 8.302315-3 2.030707+3 9.036820-3 1.871891+3 9.472557-3 1.783917+3 1.035132-2 1.619484+3 1.081249-2 1.538744+3 1.122826-2 1.468854+3 1.171521-2 1.390197+3 1.209828-2 1.329803+3 1.246867-2 1.272067+3 1.275561-2 1.227413+3 1.304321-2 1.182199+3 1.328941-2 1.142692+3 1.349886-2 1.107736+3 1.367897-2 1.076041+3 1.382850-2 1.047851+3 1.395594-2 1.021667+3 1.406915-2 9.956723+2 1.415606-2 9.728360+2 1.422386-2 9.525156+2 1.432667-2 9.170984+2 1.445994-2 8.699077+2 1.451861-2 8.544837+2 1.455976-2 8.476376+2 1.461127-2 8.446420+2 1.466267-2 8.479462+2 1.472385-2 8.588355+2 1.488671-2 9.030771+2 1.497039-2 9.226215+2 1.502436-2 9.322743+2 1.508511-2 9.405241+2 1.516422-2 9.478999+2 1.525650-2 9.530520+2 1.536140-2 9.558832+2 1.547309-2 9.564806+2 1.562248-2 9.545545+2 1.577072-2 9.503415+2 1.607131-2 9.365873+2 1.622278-2 9.274857+2 1.640369-2 9.148291+2 1.666889-2 8.920882+2 1.679563-2 8.786521+2 1.690031-2 8.656043+2 1.705269-2 8.428479+2 1.720672-2 8.187298+2 1.729248-2 8.086084+2 1.737654-2 8.032932+2 1.745481-2 8.028179+2 1.759106-2 8.089555+2 1.775572-2 8.173401+2 1.801482-2 8.246136+2 1.819067-2 8.345662+2 1.841642-2 8.490146+2 1.860258-2 8.554631+2 1.886099-2 8.573982+2 1.921985-2 8.537394+2 1.969522-2 8.436615+2 2.040361-2 8.234355+2 2.127471-2 7.941233+2 2.257044-2 7.478899+2 2.436633-2 6.856254+2 2.641916-2 6.207002+2 2.895736-2 5.507754+2 3.226228-2 4.750933+2 3.577616-2 4.101056+2 3.847994-2 3.679915+2 4.168694-2 3.250484+2 4.921901-2 2.487070+2 5.323129-2 2.183610+2 5.956789-2 1.798490+2 6.752636-2 1.438299+2 7.612393-2 1.155139+2 8.213014-2 9.991158+1 8.660842-2 8.975018+1 8.999761-2 8.256580+1 9.240851-2 7.750011+1 9.339742-2 7.535820+1 9.420361-2 7.353811+1 9.490877-2 7.184657+1 9.548619-2 7.034234+1 9.633383-2 6.781862+1 9.786032-2 6.274227+1 9.828708-2 6.176488+1 9.864813-2 6.130573+1 9.893233-2 6.120418+1 9.933326-2 6.141640+1 9.987781-2 6.216859+1 1.007985-1 6.369160+1 1.013970-1 6.438902+1 1.021610-1 6.484754+1 1.032486-1 6.494604+1 1.047690-1 6.455034+1 1.066077-1 6.367187+1 1.088130-1 6.235240+1 1.129715-1 5.956515+1 1.185912-1 5.563396+1 1.250732-1 5.126614+1 1.352401-1 4.514123+1 1.505625-1 3.761061+1 1.743396-1 2.906751+1 2.039487-1 2.192354+1 2.472881-1 1.539041+1 3.130581-1 9.893987+0 4.025360-1 6.126938+0 5.628478-1 3.205945+0 8.536797-1 1.421535+0 1.347258+0 5.791975-1 2.351155+0 1.918553-1 6.158159+0 2.808581-2 1.859734+1 3.080812-3 5.616308+1 3.378160-4 1.696098+2 3.704092-5 5.122134+2 4.061458-6 1.584893+3 4.242128-7 5.011872+3 4.242128-8 1.584893+4 4.242128-9 5.011872+4 4.24213-10 1.000000+5 1.06557-10 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.377300-6 1.258900-6 2.182900-6 1.584900-6 3.459600-6 1.995300-6 5.483100-6 2.511900-6 8.690200-6 3.162300-6 1.377300-5 3.981100-6 2.182900-5 5.011900-6 3.459600-5 6.309600-6 5.483000-5 7.943300-6 8.689900-5 1.000000-5 1.377200-4 1.258900-5 2.182800-4 1.584900-5 3.458900-4 1.995300-5 5.480800-4 2.511900-5 8.685000-4 3.162300-5 1.376300-3 3.981100-5 2.181000-3 5.011900-5 3.456300-3 6.309600-5 5.477200-3 7.943300-5 8.675000-3 1.000000-4 1.373700-2 1.258900-4 2.175600-2 1.584900-4 3.442200-2 1.995300-4 5.443500-2 2.511900-4 8.595900-2 3.162300-4 1.354700-1 3.981100-4 2.128000-1 5.011900-4 3.327000-1 6.309600-4 5.150600-1 7.943300-4 7.860000-1 1.000000-3 1.177500+0 1.258900-3 1.722500+0 1.584900-3 2.450500+0 1.995300-3 3.386800+0 2.511900-3 4.558200+0 3.162300-3 5.978100+0 3.981100-3 7.611200+0 5.011900-3 9.428900+0 6.309600-3 1.147700+1 7.943300-3 1.381900+1 1.000000-2 1.648600+1 1.258900-2 1.930700+1 1.584900-2 2.213900+1 1.995300-2 2.494000+1 2.511900-2 2.769300+1 3.162300-2 3.029700+1 3.981100-2 3.256600+1 5.011900-2 3.417600+1 6.309600-2 3.542900+1 7.943300-2 3.594000+1 1.000000-1 3.585000+1 1.258900-1 3.518100+1 1.584900-1 3.395800+1 1.995300-1 3.243500+1 2.511900-1 3.058700+1 3.162300-1 2.855700+1 3.981100-1 2.642500+1 5.011900-1 2.426100+1 6.309600-1 2.211000+1 7.943300-1 2.001000+1 1.000000+0 1.798900+1 1.258900+0 1.606200+1 1.584900+0 1.424600+1 1.995300+0 1.255100+1 2.511900+0 1.098700+1 3.162300+0 9.556300+0 3.981100+0 8.262300+0 5.011900+0 7.103400+0 6.309600+0 6.074300+0 7.943300+0 5.170000+0 1.000000+1 4.380400+0 1.258900+1 3.696500+0 1.584900+1 3.107800+0 1.995300+1 2.604200+0 2.511900+1 2.175700+0 3.162300+1 1.812700+0 3.981100+1 1.506700+0 5.011900+1 1.249500+0 6.309600+1 1.034100+0 7.943300+1 8.543300-1 1.000000+2 7.046300-1 1.258900+2 5.802800-1 1.584900+2 4.772100-1 1.995300+2 3.919500-1 2.511900+2 3.215400-1 3.162300+2 2.635000-1 3.981100+2 2.157200-1 5.011900+2 1.764300-1 6.309600+2 1.441800-1 7.943300+2 1.177200-1 1.000000+3 9.604600-2 1.258900+3 7.830500-2 1.584900+3 6.379800-2 1.995300+3 5.194500-2 2.511900+3 4.226800-2 3.162300+3 3.437400-2 3.981100+3 2.793900-2 5.011900+3 2.269700-2 6.309600+3 1.842900-2 7.943300+3 1.495700-2 1.000000+4 1.213300-2 1.258900+4 9.838100-3 1.584900+4 7.973900-3 1.995300+4 6.460400-3 2.511900+4 5.232100-3 3.162300+4 4.235700-3 3.981100+4 3.427900-3 5.011900+4 2.773200-3 6.309600+4 2.242800-3 7.943300+4 1.813200-3 1.000000+5 1.465500-3 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980637-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997261-5 1.258925-4 1.258491-4 1.584893-4 1.584206-4 1.995262-4 1.994173-4 2.511886-4 2.510161-4 3.162278-4 3.159546-4 3.981072-4 3.976747-4 5.011872-4 5.005032-4 6.309573-4 6.298745-4 7.943282-4 7.926258-4 1.000000-3 9.973170-4 1.258925-3 1.254716-3 1.584893-3 1.578308-3 1.995262-3 1.984998-3 2.511886-3 2.495850-3 3.162278-3 3.137317-3 3.981072-3 3.942274-3 5.011872-3 4.951653-3 6.309573-3 6.215909-3 7.943282-3 7.796908-3 1.000000-2 9.771996-3 1.258925-2 1.223505-2 1.584893-2 1.530159-2 1.995262-2 1.910952-2 2.511886-2 2.382264-2 3.162278-2 2.963729-2 3.981072-2 3.678904-2 5.011872-2 4.555933-2 6.309573-2 5.627195-2 7.943282-2 6.929310-2 1.000000-1 8.506520-2 1.258925-1 1.040984-1 1.584893-1 1.270659-1 1.995262-1 1.544215-1 2.511886-1 1.871243-1 3.162278-1 2.260550-1 3.981072-1 2.721990-1 5.011872-1 3.267768-1 6.309573-1 3.911912-1 7.943282-1 4.670660-1 1.000000+0 5.564699-1 1.258925+0 6.617580-1 1.584893+0 7.861248-1 1.995262+0 9.332163-1 2.511886+0 1.107805+0 3.162278+0 1.315541+0 3.981072+0 1.563525+0 5.011872+0 1.860424+0 6.309573+0 2.216613+0 7.943282+0 2.645211+0 1.000000+1 3.161785+0 1.258925+1 3.785997+0 1.584893+1 4.541046+0 1.995262+1 5.456299+0 2.511886+1 6.567129+0 3.162278+1 7.917135+0 3.981072+1 9.559596+0 5.011872+1 1.156038+1 6.309573+1 1.400011+1 7.943282+1 1.697777+1 1.000000+2 2.061517+1 1.258925+2 2.506248+1 1.584893+2 3.050384+1 1.995262+2 3.716744+1 2.511886+2 4.533262+1 3.162278+2 5.534523+1 3.981072+2 6.762976+1 5.011872+2 8.271307+1 6.309573+2 1.012426+2 7.943282+2 1.240188+2 1.000000+3 1.520280+2 1.258925+3 1.864937+2 1.584893+3 2.289223+2 1.995262+3 2.811708+2 2.511886+3 3.455616+2 3.162278+3 4.249319+2 3.981072+3 5.228229+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88259-10 1.995262-5 1.090779-9 2.511886-5 1.728736-9 3.162278-5 2.739824-9 3.981072-5 4.342248-9 5.011872-5 6.881805-9 6.309573-5 1.090646-8 7.943282-5 1.728205-8 1.000000-4 2.738605-8 1.258925-4 4.339989-8 1.584893-4 6.875836-8 1.995262-4 1.089368-7 2.511886-4 1.725492-7 3.162278-4 2.732068-7 3.981072-4 4.324331-7 5.011872-4 6.840574-7 6.309573-4 1.082800-6 7.943282-4 1.702455-6 1.000000-3 2.682967-6 1.258925-3 4.209060-6 1.584893-3 6.584924-6 1.995262-3 1.026447-5 2.511886-3 1.603635-5 3.162278-3 2.496057-5 3.981072-3 3.879745-5 5.011872-3 6.021888-5 6.309573-3 9.366412-5 7.943282-3 1.463741-4 1.000000-2 2.280045-4 1.258925-2 3.542005-4 1.584893-2 5.473450-4 1.995262-2 8.430985-4 2.511886-2 1.296226-3 3.162278-2 1.985484-3 3.981072-2 3.021682-3 5.011872-2 4.559391-3 6.309573-2 6.823780-3 7.943282-2 1.013973-2 1.000000-1 1.493480-2 1.258925-1 2.179410-2 1.584893-1 3.142344-2 1.995262-1 4.510476-2 2.511886-1 6.406431-2 3.162278-1 9.017273-2 3.981072-1 1.259082-1 5.011872-1 1.744104-1 6.309573-1 2.397662-1 7.943282-1 3.272623-1 1.000000+0 4.435301-1 1.258925+0 5.971674-1 1.584893+0 7.987683-1 1.995262+0 1.062046+0 2.511886+0 1.404081+0 3.162278+0 1.846737+0 3.981072+0 2.417547+0 5.011872+0 3.151448+0 6.309573+0 4.092960+0 7.943282+0 5.298071+0 1.000000+1 6.838215+0 1.258925+1 8.803257+0 1.584893+1 1.130789+1 1.995262+1 1.449632+1 2.511886+1 1.855174+1 3.162278+1 2.370564+1 3.981072+1 3.025112+1 5.011872+1 3.855834+1 6.309573+1 4.909562+1 7.943282+1 6.245506+1 1.000000+2 7.938483+1 1.258925+2 1.008301+2 1.584893+2 1.279855+2 1.995262+2 1.623588+2 2.511886+2 2.058560+2 3.162278+2 2.608825+2 3.981072+2 3.304774+2 5.011872+2 4.184742+2 6.309573+2 5.297147+2 7.943282+2 6.703094+2 1.000000+3 8.479720+2 1.258925+3 1.072432+3 1.584893+3 1.355971+3 1.995262+3 1.714092+3 2.511886+3 2.166325+3 3.162278+3 2.737346+3 3.981072+3 3.458249+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 9.640000-6 8.400600+7 9.800000-6 8.250560+7 1.000000-5 8.038640+7 1.035142-5 7.625341+7 1.071519-5 7.164999+7 1.100000-5 6.795800+7 1.135011-5 6.341421+7 1.180000-5 5.775320+7 1.216186-5 5.340928+7 1.270000-5 4.740400+7 1.333521-5 4.109761+7 1.369000-5 3.791821+7 1.369000-5 7.197081+7 1.392000-5 6.991840+7 1.396368-5 6.950417+7 1.415000-5 6.773544+7 1.445440-5 6.477471+7 1.479108-5 6.149253+7 1.480000-5 6.140737+7 1.515000-5 5.795228+7 1.550000-5 5.460599+7 1.584893-5 5.137336+7 1.590000-5 5.091669+7 1.640590-5 4.647426+7 1.698244-5 4.185263+7 1.757924-5 3.755974+7 1.778279-5 3.619093+7 1.840772-5 3.236628+7 1.950000-5 2.674815+7 2.162719-5 1.890430+7 2.426610-5 1.288814+7 2.454709-5 1.240899+7 2.572000-5 1.065563+7 2.572000-5 1.156198+7 2.600160-5 1.115810+7 2.660725-5 1.034446+7 2.691535-5 9.958468+6 2.730000-5 9.508414+6 2.851018-5 8.264699+6 2.951209-5 7.390932+6 3.054921-5 6.619126+6 3.273407-5 5.318786+6 3.349654-5 4.949443+6 3.427678-5 4.606510+6 3.589219-5 3.995154+6 3.630781-5 3.855833+6 3.801894-5 3.350995+6 3.845918-5 3.235827+6 3.981072-5 2.915985+6 4.168694-5 2.539318+6 4.315191-5 2.291665+6 4.350000-5 2.238086+6 4.518559-5 2.001855+6 4.677351-5 1.809564+6 4.800000-5 1.678126+6 4.850000-5 1.628709+6 5.011872-5 1.482083+6 5.184000-5 1.345545+6 5.184000-5 3.133887+6 5.188000-5 3.143969+6 5.217000-5 3.219976+6 5.240000-5 3.293858+6 5.267000-5 3.400438+6 5.288000-5 3.499412+6 5.290000-5 3.509155+6 5.317000-5 3.661303+6 5.340000-5 3.813506+6 5.370000-5 4.048687+6 5.370318-5 4.051525+6 5.400000-5 4.330687+6 5.432503-5 4.697153+6 5.460000-5 5.064162+6 5.495409-5 5.626632+6 5.535000-5 6.396808+6 5.570000-5 7.225255+6 5.580000-5 7.495033+6 5.615000-5 8.536142+6 5.649000-5 9.751910+6 5.649000-5 1.075485+7 5.670000-5 1.164808+7 5.680000-5 1.211446+7 5.700000-5 1.311469+7 5.720000-5 1.421007+7 5.740000-5 1.540844+7 5.750000-5 1.605077+7 5.754399-5 1.640892+7 5.770000-5 1.743760+7 5.800000-5 1.967717+7 5.821032-5 2.150557+7 5.830000-5 2.217034+7 5.860000-5 2.456091+7 5.870000-5 2.541796+7 5.888437-5 2.699955+7 5.910000-5 2.898390+7 5.920000-5 2.989971+7 5.956621-5 3.254591+7 5.970000-5 3.357813+7 5.985000-5 3.408113+7 6.025596-5 3.554624+7 6.030000-5 3.571312+7 6.040000-5 3.632599+7 6.070000-5 3.723032+7 6.110000-5 3.859848+7 6.165950-5 4.088821+7 6.180000-5 4.153757+7 6.190000-5 4.202496+7 6.220700-5 4.345628+7 6.237348-5 4.435278+7 6.300000-5 4.794528+7 6.309573-5 4.849594+7 6.360000-5 5.020554+7 6.385000-5 5.083983+7 6.395200-5 5.118837+7 6.490000-5 5.244904+7 6.540000-5 5.258214+7 6.606934-5 5.240211+7 6.683439-5 5.158341+7 6.690000-5 5.151459+7 6.730000-5 5.072805+7 6.760830-5 5.000919+7 6.850000-5 4.773049+7 6.918310-5 4.616555+7 6.950000-5 4.546679+7 6.970000-5 4.499751+7 7.000000-5 4.418042+7 7.079458-5 4.191221+7 7.110000-5 4.104181+7 7.161434-5 3.970566+7 7.230000-5 3.801679+7 7.300000-5 3.646833+7 7.328245-5 3.582084+7 7.330000-5 3.578110+7 7.350000-5 3.530414+7 7.500000-5 3.208455+7 7.540000-5 3.131418+7 7.620000-5 2.961735+7 7.673615-5 2.848173+7 7.800000-5 2.605907+7 7.852356-5 2.515983+7 7.943282-5 2.368500+7 7.950000-5 2.358180+7 8.150000-5 2.082824+7 8.222426-5 1.995069+7 8.423100-5 1.774360+7 8.609938-5 1.597531+7 8.810489-5 1.430979+7 9.015711-5 1.281946+7 9.440609-5 1.026694+7 9.549926-5 9.713368+6 1.011579-4 7.355440+6 1.023293-4 6.958373+6 1.080000-4 5.368585+6 1.083927-4 5.275864+6 1.122018-4 4.471201+6 1.135011-4 4.233246+6 1.161449-4 3.796165+6 1.202264-4 3.225490+6 1.244515-4 2.742127+6 1.283700-4 2.371809+6 1.283700-4 3.031697+6 1.288250-4 2.999254+6 1.288500-4 2.997496+6 1.297000-4 2.932799+6 1.304000-4 2.877383+6 1.314000-4 2.796327+6 1.325000-4 2.707100+6 1.333521-4 2.638453+6 1.340000-4 2.587621+6 1.380384-4 2.293011+6 1.412538-4 2.083672+6 1.445440-4 1.893993+6 1.490000-4 1.671984+6 1.500000-4 1.627462+6 1.540000-4 1.463976+6 1.548817-4 1.430960+6 1.566751-4 1.368230+6 1.603245-4 1.251844+6 1.621810-4 1.198752+6 1.622900-4 1.195772+6 1.622900-4 1.539856+6 1.626000-4 1.541469+6 1.629000-4 1.541535+6 1.632000-4 1.540006+6 1.635000-4 1.537123+6 1.639000-4 1.531097+6 1.643000-4 1.523306+6 1.648500-4 1.509929+6 1.655000-4 1.491586+6 1.659587-4 1.477311+6 1.662000-4 1.469998+6 1.670000-4 1.444185+6 1.690000-4 1.378560+6 1.720000-4 1.289059+6 1.737801-4 1.240433+6 1.740000-4 1.234611+6 1.757924-4 1.189131+6 1.778279-4 1.141524+6 1.780000-4 1.137659+6 1.790000-4 1.115880+6 1.798871-4 1.097490+6 1.800000-4 1.095218+6 1.820000-4 1.056095+6 1.850000-4 1.002185+6 1.865000-4 9.778177+5 1.900000-4 9.252718+5 1.907600-4 9.146391+5 1.927525-4 8.879063+5 1.930000-4 8.846708+5 1.950000-4 8.595283+5 1.995262-4 8.089405+5 2.000000-4 8.040295+5 2.018366-4 7.857188+5 2.041738-4 7.635874+5 2.060000-4 7.473676+5 2.080000-4 7.305350+5 2.089296-4 7.229218+5 2.113489-4 7.044473+5 2.116900-4 7.019521+5 2.116900-4 7.484573+5 2.123000-4 7.446828+5 2.131000-4 7.402384+5 2.137962-4 7.362672+5 2.142000-4 7.341097+5 2.155000-4 7.270035+5 2.162719-4 7.227063+5 2.170000-4 7.188098+5 2.190000-4 7.079857+5 2.210000-4 6.975459+5 2.213095-4 6.959140+5 2.230000-4 6.873501+5 2.238721-4 6.829070+5 2.240000-4 6.822744+5 2.253000-4 6.761166+5 2.264644-4 6.705628+5 2.280000-4 6.636569+5 2.290868-4 6.587271+5 2.317395-4 6.473774+5 2.338700-4 6.385637+5 2.338700-4 7.703445+5 2.339700-4 7.735647+5 2.341700-4 7.783499+5 2.344229-4 7.837904+5 2.346700-4 7.884409+5 2.349000-4 7.921424+5 2.350000-4 7.935015+5 2.352000-4 7.962873+5 2.355000-4 7.995326+5 2.359000-4 8.027140+5 2.363000-4 8.047273+5 2.367000-4 8.056892+5 2.371374-4 8.056986+5 2.372000-4 8.057080+5 2.378000-4 8.044316+5 2.385000-4 8.015839+5 2.392000-4 7.977424+5 2.400000-4 7.925882+5 2.411600-4 7.844342+5 2.411600-4 8.937992+5 2.412000-4 8.950511+5 2.414000-4 8.979670+5 2.416000-4 9.004446+5 2.418700-4 9.032037+5 2.421000-4 9.049463+5 2.423000-4 9.061426+5 2.426000-4 9.072311+5 2.430000-4 9.076949+5 2.434000-4 9.071727+5 2.437000-4 9.061951+5 2.442000-4 9.037285+5 2.448000-4 8.997447+5 2.450000-4 8.981329+5 2.455000-4 8.943498+5 2.459800-4 8.901752+5 2.465000-4 8.857489+5 2.470000-4 8.811378+5 2.483133-4 8.699073+5 2.485000-4 8.683492+5 2.500000-4 8.567473+5 2.518700-4 8.443202+5 2.520000-4 8.435516+5 2.535000-4 8.354380+5 2.538000-4 8.340112+5 2.540973-4 8.327251+5 2.550000-4 8.290402+5 2.553000-4 8.280019+5 2.565400-4 8.242776+5 2.570396-4 8.230959+5 2.580000-4 8.212531+5 2.585000-4 8.206456+5 2.595000-4 8.198592+5 2.600160-4 8.197683+5 2.608000-4 8.200119+5 2.615000-4 8.206564+5 2.623000-4 8.217700+5 2.630268-4 8.232827+5 2.640000-4 8.258665+5 2.645000-4 8.275297+5 2.655000-4 8.313920+5 2.660725-4 8.339615+5 2.670000-4 8.387322+5 2.675000-4 8.416463+5 2.691535-4 8.524113+5 2.692000-4 8.527457+5 2.710000-4 8.672853+5 2.720000-4 8.763069+5 2.722701-4 8.789558+5 2.730000-4 8.862480+5 2.750000-4 9.085099+5 2.754229-4 9.136115+5 2.770000-4 9.341490+5 2.790000-4 9.628816+5 2.800000-4 9.784387+5 2.818383-4 1.009230+6 2.820000-4 1.012053+6 2.851018-4 1.070812+6 2.884032-4 1.142549+6 2.917427-4 1.225105+6 2.930000-4 1.259151+6 2.970000-4 1.376245+6 3.000000-4 1.473025+6 3.015000-4 1.524743+6 3.054921-4 1.670213+6 3.090295-4 1.807269+6 3.100000-4 1.845762+6 3.126079-4 1.952343+6 3.130000-4 1.969036+6 3.165000-4 2.115566+6 3.200000-4 2.263977+6 3.235937-4 2.416239+6 3.240000-4 2.434185+6 3.273407-4 2.574270+6 3.280000-4 2.602976+6 3.311311-4 2.732763+6 3.320000-4 2.768821+6 3.350000-4 2.890413+6 3.370000-4 2.971567+6 3.388442-4 3.044571+6 3.390000-4 3.050817+6 3.410000-4 3.129267+6 3.430000-4 3.205369+6 3.470000-4 3.357564+6 3.507519-4 3.492879+6 3.515000-4 3.520466+6 3.550000-4 3.641823+6 3.600000-4 3.806056+6 3.630781-4 3.899545+6 3.650000-4 3.958836+6 3.672823-4 4.021506+6 3.700000-4 4.097129+6 3.715352-4 4.137884+6 3.758374-4 4.242857+6 3.760000-4 4.246860+6 3.780000-4 4.292880+6 3.820000-4 4.376472+6 3.850000-4 4.434484+6 3.890451-4 4.503998+6 3.930000-4 4.565715+6 3.935501-4 4.573280+6 3.970000-4 4.620797+6 3.981072-4 4.634264+6 4.000000-4 4.657337+6 4.050000-4 4.709748+6 4.073803-4 4.731455+6 4.100000-4 4.755324+6 4.120975-4 4.770692+6 4.150000-4 4.791951+6 4.200000-4 4.822228+6 4.216965-4 4.832455+6 4.240000-4 4.842612+6 4.315191-4 4.867959+6 4.343400-4 4.877390+6 4.350000-4 4.878599+6 4.365158-4 4.879755+6 4.466836-4 4.887165+6 4.470000-4 4.887391+6 4.479900-4 4.886716+6 4.500000-4 4.883204+6 4.600000-4 4.866123+6 4.623810-4 4.857034+6 4.731513-4 4.816467+6 4.841724-4 4.754319+6 4.850000-4 4.749744+6 4.897788-4 4.723544+6 4.954502-4 4.683478+6 5.011872-4 4.643757+6 5.080000-4 4.597508+6 5.248075-4 4.465929+6 5.298200-4 4.425633+6 5.298200-4 4.654408+6 5.308844-4 4.648491+6 5.370318-4 4.611048+6 5.432503-4 4.575202+6 5.445000-4 4.567703+6 5.559043-4 4.497028+6 5.595000-4 4.473653+6 5.595000-4 4.608918+6 5.604000-4 4.606225+6 5.615500-4 4.600959+6 5.623413-4 4.597251+6 5.630000-4 4.594183+6 5.650000-4 4.582157+6 5.688529-4 4.559520+6 5.807000-4 4.489676+6 5.821032-4 4.480373+6 5.880000-4 4.438593+6 5.888437-4 4.432423+6 5.900000-4 4.424007+6 6.025596-4 4.331013+6 6.080000-4 4.292477+6 6.100000-4 4.277409+6 6.165950-4 4.225525+6 6.200000-4 4.198160+6 6.309573-4 4.107906+6 6.320000-4 4.100293+6 6.382635-4 4.050244+6 6.456542-4 3.992275+6 6.500000-4 3.957395+6 6.550000-4 3.916744+6 6.683439-4 3.811212+6 6.700000-4 3.798518+6 6.760830-4 3.752615+6 6.850000-4 3.687355+6 6.918310-4 3.636970+6 7.000000-4 3.576676+6 7.161434-4 3.461522+6 7.244360-4 3.405172+6 7.300000-4 3.366059+6 7.413102-4 3.286929+6 7.500000-4 3.228436+6 7.650000-4 3.131096+6 7.673615-4 3.116119+6 7.762471-4 3.059402+6 7.793900-4 3.039311+6 7.793900-4 3.224781+6 7.852356-4 3.187065+6 8.035261-4 3.073643+6 8.128305-4 3.018185+6 8.222426-4 2.963878+6 8.317638-4 2.909048+6 8.413951-4 2.854479+6 8.430000-4 2.845468+6 8.511380-4 2.800282+6 8.609938-4 2.747266+6 8.709636-4 2.695058+6 8.810489-4 2.642856+6 8.850000-4 2.622875+6 8.912509-4 2.591470+6 9.015711-4 2.540145+6 9.225714-4 2.440666+6 9.332543-4 2.392351+6 9.350000-4 2.384465+6 9.366400-4 2.377014+6 9.385100-4 2.368563+6 9.385100-4 2.400375+6 9.440609-4 2.375579+6 9.500000-4 2.349544+6 9.549926-4 2.327558+6 9.700000-4 2.263519+6 9.772372-4 2.233725+6 9.930000-4 2.171167+6 1.000000-3 2.144059+6 1.011579-3 2.099452+6 1.030000-3 2.031428+6 1.035142-3 2.012882+6 1.047129-3 1.970710+6 1.050000-3 1.960722+6 1.071519-3 1.888040+6 1.072700-3 1.884120+6 1.072700-3 1.920264+6 1.096478-3 1.843665+6 1.100000-3 1.832756+6 1.110000-3 1.802335+6 1.122018-3 1.766155+6 1.135011-3 1.728004+6 1.161449-3 1.654430+6 1.168000-3 1.636792+6 1.188502-3 1.583451+6 1.190000-3 1.579669+6 1.202264-3 1.549101+6 1.216186-3 1.514909+6 1.230269-3 1.481545+6 1.244515-3 1.448924+6 1.258925-3 1.417076+6 1.273503-3 1.385636+6 1.274000-3 1.384583+6 1.288250-3 1.354444+6 1.300000-3 1.330371+6 1.303167-3 1.324001+6 1.318257-3 1.294072+6 1.350000-3 1.234592+6 1.364583-3 1.208306+6 1.380384-3 1.180600+6 1.396368-3 1.153517+6 1.412538-3 1.127107+6 1.445440-3 1.075934+6 1.450000-3 1.069099+6 1.462177-3 1.051180+6 1.479108-3 1.026822+6 1.496236-3 1.002855+6 1.500000-3 9.976930+5 1.513561-3 9.794244+5 1.531087-3 9.566034+5 1.548817-3 9.343806+5 1.570000-3 9.087278+5 1.603245-3 8.700081+5 1.621810-3 8.494830+5 1.640590-3 8.293201+5 1.678804-3 7.905903+5 1.690000-3 7.796865+5 1.698244-3 7.717525+5 1.730000-3 7.421813+5 1.737801-3 7.351802+5 1.757924-3 7.175376+5 1.778279-3 7.003327+5 1.819701-3 6.670181+5 1.840772-3 6.509296+5 1.862087-3 6.351279+5 1.900000-3 6.083053+5 1.905461-3 6.045745+5 1.927525-3 5.898407+5 1.949845-3 5.754706+5 1.950000-3 5.753727+5 1.972423-3 5.614769+5 1.995262-3 5.477734+5 2.000000-3 5.449692+5 2.041738-3 5.210575+5 2.065380-3 5.081705+5 2.089296-3 4.956209+5 2.113489-3 4.833945+5 2.137962-3 4.714908+5 2.150000-3 4.657964+5 2.162719-3 4.598652+5 2.187762-3 4.484480+5 2.213095-3 4.372199+5 2.220000-3 4.342350+5 2.238721-3 4.262974+5 2.264644-3 4.156467+5 2.317395-3 3.951201+5 2.344229-3 3.852691+5 2.371374-3 3.756765+5 2.400000-3 3.657577+5 2.426610-3 3.568605+5 2.500000-3 3.339443+5 2.511886-3 3.304356+5 2.540973-3 3.220733+5 2.570396-3 3.139328+5 2.600160-3 3.059504+5 2.660725-3 2.905223+5 2.722701-3 2.758731+5 2.754229-3 2.688155+5 2.786121-3 2.619295+5 2.800000-3 2.590117+5 2.818383-3 2.552021+5 2.851018-3 2.486396+5 2.884032-3 2.422018+5 2.889300-3 2.411978+5 2.889300-3 6.442311+5 2.917427-3 6.259500+5 2.951209-3 6.049116+5 2.985383-3 5.846037+5 3.019952-3 5.650079+5 3.021600-3 5.640966+5 3.021600-3 8.038960+5 3.054921-3 7.799963+5 3.090295-3 7.556700+5 3.110000-3 7.432555+5 3.126079-3 7.341244+5 3.150000-3 7.208108+5 3.162278-3 7.138394+5 3.198895-3 6.936085+5 3.235937-3 6.739454+5 3.264200-3 6.592065+5 3.273407-3 6.545802+5 3.311311-3 6.360063+5 3.350000-3 6.178010+5 3.388442-3 6.001672+5 3.427678-3 5.828688+5 3.467369-3 5.660260+5 3.507519-3 5.494913+5 3.517900-3 5.453222+5 3.517900-3 6.340562+5 3.589219-3 6.039984+5 3.613000-3 5.943312+5 3.630781-3 5.872070+5 3.650000-3 5.796449+5 3.715352-3 5.549476+5 3.758374-3 5.394933+5 3.801894-3 5.244830+5 3.845918-3 5.098757+5 3.981072-3 4.679454+5 4.000000-3 4.624689+5 4.027170-3 4.547679+5 4.073803-3 4.418848+5 4.120975-3 4.293676+5 4.147600-3 4.225238+5 4.147600-3 4.486480+5 4.168694-3 4.432036+5 4.216965-3 4.310824+5 4.300000-3 4.113432+5 4.315191-3 4.078465+5 4.340000-3 4.022259+5 4.365158-3 3.966250+5 4.447700-3 3.788738+5 4.447700-3 3.950844+5 4.466836-3 3.910464+5 4.500000-3 3.841418+5 4.518559-3 3.803518+5 4.570882-3 3.699266+5 4.623810-3 3.597978+5 4.677351-3 3.499623+5 4.731513-3 3.403941+5 4.780000-3 3.320911+5 4.786301-3 3.310347+5 4.800000-3 3.287490+5 4.920000-3 3.096837+5 5.011872-3 2.961378+5 5.069907-3 2.879947+5 5.128614-3 2.800319+5 5.188000-3 2.722906+5 5.230000-3 2.669549+5 5.248075-3 2.647092+5 5.308844-3 2.573335+5 5.432503-3 2.432282+5 5.495409-3 2.364865+5 5.500000-3 2.360053+5 5.559043-3 2.299112+5 5.623413-3 2.235183+5 5.650000-3 2.209408+5 5.688529-3 2.172745+5 5.754399-3 2.112003+5 5.800000-3 2.071396+5 5.821032-3 2.053043+5 5.888437-3 1.995481+5 5.900000-3 1.985833+5 6.025596-3 1.885129+5 6.095369-3 1.831939+5 6.165950-3 1.780265+5 6.237348-3 1.730130+5 6.300000-3 1.687543+5 6.309573-3 1.681155+5 6.382635-3 1.633162+5 6.456542-3 1.586605+5 6.531306-3 1.541458+5 6.606934-3 1.497650+5 6.650000-3 1.473487+5 6.683439-3 1.455081+5 6.800000-3 1.393486+5 6.839116-3 1.373682+5 6.843790-3 1.371340+5 6.918310-3 1.334788+5 7.000000-3 1.296330+5 7.079458-3 1.260453+5 7.161434-3 1.224890+5 7.244360-3 1.190198+5 7.328245-3 1.156535+5 7.413102-3 1.123558+5 7.498942-3 1.091516+5 7.500000-3 1.091130+5 7.673615-3 1.029840+5 7.762471-3 1.000208+5 7.852356-3 9.714756+4 7.943282-3 9.435732+4 8.000000-3 9.266542+4 8.035261-3 9.163407+4 8.317638-3 8.394379+4 8.413951-3 8.152555+4 8.511380-3 7.917817+4 8.609938-3 7.689455+4 8.709636-3 7.467008+4 8.810489-3 7.251333+4 8.912509-3 7.042239+4 9.015711-3 6.839464+4 9.120108-3 6.642614+4 9.225714-3 6.451685+4 9.440609-3 6.085628+4 9.549926-3 5.908468+4 9.660509-3 5.736730+4 9.772372-3 5.569561+4 9.800000-3 5.529352+4 1.000000-2 5.249221+4 1.011579-2 5.096309+4 1.023293-2 4.947928+4 1.035142-2 4.804100+4 1.047129-2 4.663910+4 1.080000-2 4.308259+4 1.083927-2 4.268333+4 1.096478-2 4.143728+4 1.109175-2 4.022472+4 1.122018-2 3.904808+4 1.150000-2 3.665028+4 1.161449-2 3.572678+4 1.174898-2 3.468417+4 1.190000-2 3.355960+4 1.216186-2 3.171820+4 1.230269-2 3.078459+4 1.244515-2 2.987857+4 1.258925-2 2.899814+4 1.270000-2 2.834649+4 1.273503-2 2.814450+4 1.303167-2 2.651022+4 1.318257-2 2.573019+4 1.333521-2 2.497372+4 1.348963-2 2.424054+4 1.350000-2 2.419240+4 1.364583-2 2.352675+4 1.380384-2 2.283187+4 1.396368-2 2.215842+4 1.400000-2 2.200937+4 1.412538-2 2.150400+4 1.445440-2 2.025324+4 1.461900-2 1.966571+4 1.461900-2 4.826614+4 1.462177-2 4.824228+4 1.479108-2 4.681297+4 1.490000-2 4.592357+4 1.500000-2 4.510966+4 1.531087-2 4.269523+4 1.548817-2 4.139817+4 1.584893-2 3.892280+4 1.603245-2 3.774213+4 1.621810-2 3.659785+4 1.640590-2 3.548698+4 1.659587-2 3.440889+4 1.698244-2 3.231693+4 1.717908-2 3.132006+4 1.730000-2 3.072702+4 1.737801-2 3.035234+4 1.739600-2 3.026661+4 1.739600-2 4.241814+4 1.753000-2 4.163534+4 1.757924-2 4.132812+4 1.778279-2 4.009112+4 1.798871-2 3.889152+4 1.804200-2 3.858925+4 1.804200-2 4.459988+4 1.819701-2 4.364503+4 1.820000-2 4.362689+4 1.830000-2 4.302226+4 1.840772-2 4.238876+4 1.850000-2 4.185651+4 1.862087-2 4.117353+4 1.870000-2 4.073478+4 1.883649-2 3.999828+4 1.900000-2 3.914037+4 1.905461-2 3.885579+4 1.949845-2 3.664821+4 1.950000-2 3.664081+4 1.970000-2 3.571481+4 1.972423-2 3.560407+4 2.000000-2 3.437608+4 2.018366-2 3.359161+4 2.020000-2 3.352233+4 2.041738-2 3.260964+4 2.065380-2 3.165636+4 2.089296-2 3.073158+4 2.100000-2 3.033000+4 2.113489-2 2.983435+4 2.137962-2 2.896389+4 2.162719-2 2.811927+4 2.187762-2 2.729885+4 2.213095-2 2.650306+4 2.238721-2 2.573012+4 2.264644-2 2.498219+4 2.290868-2 2.425212+4 2.317395-2 2.354406+4 2.344229-2 2.285734+4 2.371374-2 2.219040+4 2.400000-2 2.151160+4 2.426610-2 2.090659+4 2.454709-2 2.028966+4 2.483133-2 1.969105+4 2.500000-2 1.934752+4 2.511886-2 1.911023+4 2.540973-2 1.854664+4 2.570396-2 1.799938+4 2.600160-2 1.746872+4 2.630268-2 1.695271+4 2.660725-2 1.644972+4 2.691535-2 1.596205+4 2.722701-2 1.548920+4 2.754229-2 1.503055+4 2.786121-2 1.458574+4 2.800000-2 1.439795+4 2.818383-2 1.415214+4 2.851018-2 1.372988+4 2.884032-2 1.331824+4 2.917427-2 1.291928+4 2.951209-2 1.253218+4 3.000000-2 1.200047+4 3.054921-2 1.143912+4 3.090295-2 1.109693+4 3.126079-2 1.076520+4 3.198895-2 1.013191+4 3.235937-2 9.829605+3 3.311311-2 9.252154+3 3.349654-2 8.974632+3 3.388442-2 8.705401+3 3.427678-2 8.444223+3 3.467369-2 8.190775+3 3.507519-2 7.945139+3 3.548134-2 7.705449+3 3.589219-2 7.471616+3 3.630781-2 7.245039+3 3.672823-2 7.025497+3 3.715352-2 6.812772+3 3.758374-2 6.606602+3 3.801894-2 6.406772+3 3.845918-2 6.213091+3 3.890451-2 6.025385+3 3.935501-2 5.843489+3 3.981072-2 5.666376+3 4.027170-2 5.494567+3 4.073803-2 5.328087+3 4.120975-2 5.166772+3 4.168694-2 5.010447+3 4.265795-2 4.710622+3 4.315191-2 4.567659+3 4.365158-2 4.429114+3 4.518559-2 4.036833+3 4.570882-2 3.914142+3 4.623810-2 3.794420+3 4.677351-2 3.678121+3 4.731513-2 3.565450+3 4.786301-2 3.456304+3 4.841724-2 3.350567+3 4.897788-2 3.248139+3 4.954502-2 3.148906+3 5.069907-2 2.959594+3 5.188000-2 2.781829+3 5.308844-2 2.614346+3 5.370318-2 2.534511+3 5.432503-2 2.456821+3 5.495409-2 2.381425+3 5.500000-2 2.376049+3 5.559043-2 2.307955+3 5.623413-2 2.236767+3 5.821032-2 2.036345+3 5.888437-2 1.973693+3 5.956621-2 1.912990+3 6.025596-2 1.854179+3 6.095369-2 1.797204+3 6.165950-2 1.742017+3 6.309573-2 1.636776+3 6.382635-2 1.586614+3 6.456542-2 1.537746+3 6.531306-2 1.490325+3 6.606934-2 1.444269+3 6.760830-2 1.356230+3 7.000000-2 1.233555+3 7.079458-2 1.196209+3 7.161434-2 1.159286+3 7.244360-2 1.123527+3 7.328245-2 1.088715+3 7.673615-2 9.601060+2 7.762471-2 9.304257+2 7.852356-2 9.016446+2 8.128305-2 8.205749+2 8.317638-2 7.706882+2 8.413951-2 7.468781+2 8.609938-2 7.011365+2 9.015711-2 6.180030+2 9.225714-2 5.802636+2 9.440609-2 5.448289+2 9.660509-2 5.115758+2 9.772372-2 4.957310+2 9.876400-2 4.815984+2 9.876400-2 2.184854+3 1.000000-1 2.114300+3 1.011580-1 2.050939+3 1.015000-1 2.032728+3 1.030000-1 1.963804+3 1.035142-1 1.938027+3 1.059254-1 1.823175+3 1.060000-1 1.819773+3 1.083927-1 1.721127+3 1.096478-1 1.672372+3 1.109175-1 1.625003+3 1.122019-1 1.577033+3 1.135011-1 1.530487+3 1.148154-1 1.485309+3 1.202264-1 1.317597+3 1.205670-1 1.307926+3 1.216186-1 1.278682+3 1.230269-1 1.240921+3 1.244515-1 1.204279+3 1.273503-1 1.134684+3 1.288250-1 1.101414+3 1.318257-1 1.037785+3 1.348963-1 9.778434+2 1.364583-1 9.491893+2 1.396368-1 8.943843+2 1.412538-1 8.681835+2 1.445440-1 8.173486+2 1.462177-1 7.930627+2 1.479108-1 7.694954+2 1.500000-1 7.417311+2 1.513561-1 7.244326+2 1.548817-1 6.819949+2 1.584893-1 6.420649+2 1.603245-1 6.229956+2 1.621810-1 6.044940+2 1.640590-1 5.865429+2 1.678804-1 5.522292+2 1.737801-1 5.044952+2 1.757924-1 4.895214+2 1.819701-1 4.472218+2 1.840772-1 4.339537+2 1.862087-1 4.210803+2 1.883649-1 4.085897+2 1.905461-1 3.964715+2 1.927525-1 3.847142+2 1.949845-1 3.733110+2 1.972423-1 3.622521+2 2.018366-1 3.411099+2 2.113489-1 3.024613+2 2.162719-1 2.848151+2 2.213095-1 2.682008+2 2.238721-1 2.602616+2 2.264644-1 2.525613+2 2.290868-1 2.450898+2 2.317395-1 2.378401+2 2.344229-1 2.308055+2 2.371374-1 2.239841+2 2.398833-1 2.173648+2 2.426610-1 2.109416+2 2.454709-1 2.047709+2 2.511886-1 1.929670+2 2.540973-1 1.873230+2 2.570396-1 1.818451+2 2.600160-1 1.765278+2 2.630268-1 1.713701+2 2.660725-1 1.663633+2 2.691535-1 1.615035+2 2.722701-1 1.567862+2 2.754229-1 1.522122+2 2.786121-1 1.477749+2 2.818383-1 1.434677+2 2.851018-1 1.392863+2 2.884032-1 1.352269+2 2.917427-1 1.312863+2 2.985383-1 1.238501+2 3.019952-1 1.202936+2 3.054921-1 1.168392+2 3.090295-1 1.134845+2 3.162278-1 1.070616+2 3.198895-1 1.039884+2 3.235937-1 1.010055+2 3.273407-1 9.810971+1 3.311311-1 9.529704+1 3.349654-1 9.256527+1 3.388442-1 8.991599+1 3.427678-1 8.734399+1 3.467369-1 8.488557+1 3.507519-1 8.249678+1 3.589219-1 7.791929+1 3.630781-1 7.572678+1 3.672823-1 7.359613+1 3.715352-1 7.152693+1 3.801894-1 6.756225+1 3.845918-1 6.566444+1 3.890451-1 6.382078+1 3.935501-1 6.202895+1 3.981072-1 6.028776+1 4.073803-1 5.701471+1 4.120975-1 5.544555+1 4.168694-1 5.391962+1 4.216965-1 5.243684+1 4.265795-1 5.099488+1 4.365158-1 4.823082+1 4.415705-1 4.690563+1 4.466836-1 4.561710+1 4.518559-1 4.436415+1 4.550800-1 4.362314+1 4.570882-1 4.317046+1 4.623810-1 4.200898+1 4.677351-1 4.088108+1 4.731513-1 3.978349+1 4.841724-1 3.767871+1 4.897788-1 3.666869+1 4.954502-1 3.568579+1 5.000000-1 3.492433+1 5.011872-1 3.472944+1 5.069907-1 3.379876+1 5.128614-1 3.289304+1 5.188000-1 3.202904+1 5.248075-1 3.118816+1 5.308844-1 3.036983+1 5.370318-1 2.957365+1 5.432503-1 2.880009+1 5.495409-1 2.804695+1 5.559043-1 2.731361+1 5.623413-1 2.659949+1 5.688529-1 2.590409+1 5.754399-1 2.522689+1 5.821032-1 2.456741+1 5.888437-1 2.393890+1 5.956621-1 2.332660+1 6.025596-1 2.273080+1 6.095369-1 2.215025+1 6.165950-1 2.158629+1 6.237348-1 2.103670+1 6.309573-1 2.050111+1 6.456542-1 1.947061+1 6.531306-1 1.897522+1 6.606935-1 1.850274+1 6.683439-1 1.804249+1 6.760830-1 1.759370+1 6.839117-1 1.715621+1 6.998420-1 1.631427+1 7.079458-1 1.590994+1 7.161434-1 1.551568+1 7.244360-1 1.513140+1 7.328245-1 1.475664+1 7.413102-1 1.439118+1 7.498942-1 1.404319+1 7.585776-1 1.370365+1 7.673615-1 1.337240+1 7.762471-1 1.304921+1 7.852356-1 1.273399+1 7.943282-1 1.242641+1 8.035261-1 1.212643+1 8.128305-1 1.183442+1 8.317638-1 1.127134+1 8.413951-1 1.100014+1 8.511380-1 1.073547+1 8.609938-1 1.048347+1 8.709636-1 1.023746+1 8.810489-1 9.997375+0 8.912509-1 9.763118+0 9.015711-1 9.534352+0 9.120108-1 9.310960+0 9.225714-1 9.092806+0 9.332543-1 8.879777+0 9.440609-1 8.672387+0 9.549926-1 8.470320+0 9.660509-1 8.278325+0 9.772372-1 8.090685+0 9.885531-1 7.907473+0 1.000000+0 7.728456+0 1.011579+0 7.553655+0 1.023293+0 7.383009+0 1.035142+0 7.216287+0 1.047129+0 7.053729+0 1.059254+0 6.894852+0 1.071519+0 6.739558+0 1.083927+0 6.587886+0 1.096478+0 6.439636+0 1.109175+0 6.294715+0 1.122018+0 6.153205+0 1.135011+0 6.014908+0 1.148154+0 5.882094+0 1.161449+0 5.752216+0 1.174898+0 5.625310+0 1.188502+0 5.501229+0 1.202264+0 5.379959+0 1.216186+0 5.261711+0 1.230269+0 5.146182+0 1.244515+0 5.033191+0 1.258925+0 4.922730+0 1.273503+0 4.814770+0 1.288250+0 4.712101+0 1.303167+0 4.611627+0 1.318257+0 4.513313+0 1.333521+0 4.417170+0 1.348963+0 4.323162+0 1.364583+0 4.231434+0 1.380384+0 4.141653+0 1.396368+0 4.053779+0 1.445440+0 3.801397+0 1.479108+0 3.646213+0 1.496236+0 3.571026+0 1.500000+0 3.554839+0 1.513561+0 3.497460+0 1.531087+0 3.425713+0 1.548817+0 3.355434+0 1.603245+0 3.153142+0 1.621810+0 3.090098+0 1.678804+0 2.908478+0 1.698244+0 2.850352+0 1.717908+0 2.793433+0 1.737801+0 2.737822+0 1.757924+0 2.683340+0 1.819701+0 2.526432+0 1.840772+0 2.476195+0 1.862087+0 2.428027+0 1.883649+0 2.380795+0 1.927525+0 2.289092+0 1.949845+0 2.244574+0 1.972423+0 2.200929+0 1.995262+0 2.158160+0 2.000000+0 2.149454+0 2.018366+0 2.116228+0 2.044000+0 2.071360+0 2.089296+0 1.995752+0 2.113489+0 1.957150+0 2.137962+0 1.919295+0 2.162719+0 1.883311+0 2.187762+0 1.848003+0 2.213095+0 1.813364+0 2.238721+0 1.779404+0 2.264644+0 1.746087+0 2.290868+0 1.713530+0 2.344229+0 1.650289+0 2.371374+0 1.619549+0 2.398833+0 1.589382+0 2.426610+0 1.560633+0 2.454709+0 1.532411+0 2.483133+0 1.504705+0 2.511886+0 1.477500+0 2.540973+0 1.450809+0 2.570396+0 1.424607+0 2.600160+0 1.398981+0 2.660725+0 1.349154+0 2.691535+0 1.324909+0 2.722701+0 1.301101+0 2.754229+0 1.278367+0 2.786121+0 1.256037+0 2.851018+0 1.212546+0 2.884032+0 1.191368+0 2.917427+0 1.170577+0 2.951209+0 1.150152+0 3.000000+0 1.121769+0 3.090295+0 1.072244+0 3.162278+0 1.035301+0 3.198895+0 1.017310+0 3.235937+0 1.000088+0 3.273407+0 9.831612-1 3.349654+0 9.501688-1 3.388442+0 9.340897-1 3.427678+0 9.182985-1 3.467369+0 9.028330-1 3.589219+0 8.580216-1 3.672823+0 8.293898-1 3.715352+0 8.154343-1 3.758374+0 8.020777-1 3.801894+0 7.889430-1 3.890451+0 7.633205-1 3.935501+0 7.508228-1 4.000000+0 7.335408-1 4.027170+0 7.264889-1 4.168694+0 6.915815-1 4.265795+0 6.692470-1 4.315191+0 6.583517-1 4.365158+0 6.479122-1 4.415704+0 6.376389-1 4.466836+0 6.275306-1 4.570882+0 6.077963-1 4.623810+0 5.981631-1 4.677351+0 5.886918-1 4.731513+0 5.794048-1 4.897788+0 5.524373-1 5.011872+0 5.351600-1 5.069907+0 5.267250-1 5.128614+0 5.186380-1 5.188000+0 5.106758-1 5.308844+0 4.951193-1 5.432503+0 4.800397-1 5.495409+0 4.726729-1 5.559043+0 4.654261-1 5.623413+0 4.583173-1 5.821032+0 4.376534-1 5.956621+0 4.243979-1 6.025596+0 4.179214-1 6.095369+0 4.117141-1 6.165950+0 4.055993-1 6.309573+0 3.936436-1 6.456542+0 3.820424-1 6.531306+0 3.763707-1 6.606934+0 3.707883-1 6.683439+0 3.653083-1 6.918310+0 3.493625-1 7.161434+0 3.341129-1 7.244360+0 3.291791-1 7.328245+0 3.244405-1 7.413102+0 3.197703-1 7.585776+0 3.106325-1 7.762471+0 3.017576-1 7.852356+0 2.974156-1 7.943282+0 2.931401-1 8.000000+0 2.905287-1 8.035261+0 2.889321-1 8.317638+0 2.767048-1 8.609938+0 2.649951-1 8.709636+0 2.612030-1 8.810489+0 2.575547-1 8.912509+0 2.539576-1 9.000000+0 2.509455-1 9.225714+0 2.434669-1 9.440609+0 2.367161-1 9.549926+0 2.334113-1 9.660509+0 2.301526-1 9.772372+0 2.269422-1 9.885531+0 2.237766-1 1.023293+1 2.145813-1 1.059254+1 2.057639-1 1.071519+1 2.029062-1 1.083927+1 2.001575-1 1.096478+1 1.974463-1 1.109175+1 1.947722-1 1.135011+1 1.895324-1 1.161449+1 1.844345-1 1.174898+1 1.819371-1 1.188502+1 1.794738-1 1.202264+1 1.770458-1 1.216186+1 1.746505-1 1.258925+1 1.676863-1 1.273503+1 1.654271-1 1.303167+1 1.609997-1 1.318257+1 1.588306-1 1.333521+1 1.567329-1 1.348963+1 1.546629-1 1.364583+1 1.526206-1 1.412538+1 1.466539-1 1.496236+1 1.372247-1 1.513561+1 1.354129-1 1.531087+1 1.336251-1 1.548817+1 1.318621-1 1.566751+1 1.301226-1 1.584893+1 1.284127-1 1.603245+1 1.267252-1 1.621810+1 1.250598-1 1.640590+1 1.234484-1 1.659587+1 1.218581-1 1.757924+1 1.142083-1 1.972423+1 1.003213-1 2.000000+1 9.876493-2 2.018366+1 9.775420-2 2.041738+1 9.649981-2 2.065380+1 9.526202-2 2.089296+1 9.404011-2 2.113489+1 9.285839-2 2.137962+1 9.169172-2 2.290868+1 8.499314-2 2.317395+1 8.392544-2 2.630268+1 7.302995-2 2.660725+1 7.211254-2 2.691535+1 7.120721-2 2.722701+1 7.031581-2 2.754229+1 6.943584-2 2.800000+1 6.819524-2 2.818383+1 6.771746-2 2.851018+1 6.688512-2 3.126079+1 6.058430-2 3.162278+1 5.983971-2 3.672823+1 5.095339-2 3.715352+1 5.032747-2 3.758374+1 4.970931-2 3.801894+1 4.910037-2 3.845918+1 4.849908-2 3.890451+1 4.790517-2 3.935501+1 4.732840-2 3.981072+1 4.675866-2 4.415704+1 4.192995-2 4.466836+1 4.142525-2 5.370318+1 3.412862-2 5.432503+1 3.371782-2 5.495409+1 3.331213-2 5.559043+1 3.291136-2 5.623413+1 3.251542-2 5.688529+1 3.212508-2 5.754399+1 3.173953-2 5.821032+1 3.135861-2 5.888437+1 3.098226-2 6.000000+1 3.038690-2 6.095369+1 2.989557-2 6.760830+1 2.685907-2 6.839116+1 2.654135-2 8.709636+1 2.067263-2 8.912509+1 2.018644-2 9.120108+1 1.971184-2 9.332543+1 1.924843-2 9.440609+1 1.902083-2 9.660509+1 1.857451-2 9.885531+1 1.813875-2 1.000000+2 1.792473-2 1.023293+2 1.750422-2 1.059254+2 1.689934-2 1.148154+2 1.556814-2 1.161449+2 1.538674-2 1.462177+2 1.217156-2 1.513561+2 1.175104-2 1.603245+2 1.108234-2 1.698244+2 1.045172-2 1.737801+2 1.020964-2 1.757924+2 1.009074-2 1.840772+2 9.629221-3 1.862087+2 9.517192-3 1.972423+2 8.976295-3 1.995262+2 8.871865-3 2.041738+2 8.666629-3 2.113489+2 8.369642-3 2.290868+2 7.715680-3 2.317395+2 7.626529-3 2.917427+2 6.044788-3 3.019952+2 5.837665-3 3.198895+2 5.508168-3 3.388442+2 5.197279-3 3.467369+2 5.077895-3 3.507519+2 5.019246-3 3.672823+2 4.791495-3 3.715352+2 4.736196-3 3.935501+2 4.469127-3 3.981072+2 4.417549-3 4.073803+2 4.316171-3 4.216965+2 4.169143-3 4.570882+2 3.845271-3 4.623810+2 3.801106-3 5.821032+2 3.016970-3 6.025596+2 2.914205-3 1.202264+3 1.457147-3 1.273503+3 1.375373-3 1.348963+3 1.298190-3 1.380384+3 1.268544-3 1.396368+3 1.253977-3 1.462177+3 1.197381-3 1.479108+3 1.183636-3 1.566751+3 1.117243-3 1.584893+3 1.104418-3 1.621810+3 1.079209-3 1.678804+3 1.042553-3 1.819701+3 9.617934-4 3.672823+3 4.763699-4 4.623810+3 3.783548-4 4.786301+3 3.655043-4 3.801894+4 4.597134-5 4.027170+4 4.339865-5 4.265795+4 4.096994-5 1.000000+5 1.747047-5 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 9.640000-6 9.640000-6 1.369000-5 9.640000-6 1.369000-5 1.155624-5 1.445440-5 1.169125-5 1.550000-5 1.180113-5 1.698244-5 1.187530-5 1.950000-5 1.191162-5 2.572000-5 1.192233-5 2.572000-5 1.300393-5 3.630781-5 1.283098-5 4.350000-5 1.278849-5 5.184000-5 1.283010-5 5.184000-5 3.509097-5 5.240000-5 3.638783-5 5.290000-5 3.772516-5 5.370318-5 4.012493-5 5.495409-5 4.393490-5 5.570000-5 4.591360-5 5.615000-5 4.693598-5 5.649000-5 4.761959-5 5.649000-5 4.844680-5 5.720000-5 4.943061-5 5.800000-5 5.025183-5 5.910000-5 5.094997-5 6.190000-5 5.197484-5 6.309573-5 5.255556-5 6.490000-5 5.293788-5 7.350000-5 5.341453-5 7.852356-5 5.331468-5 1.023293-4 5.261501-5 1.244515-4 5.164350-5 1.283700-4 5.143020-5 1.283700-4 6.270292-5 1.304000-4 6.345391-5 1.340000-4 6.410381-5 1.412538-4 6.487713-5 1.622900-4 6.667565-5 1.622900-4 7.519685-5 1.635000-4 7.603442-5 1.648500-4 7.648420-5 1.670000-4 7.671313-5 1.820000-4 7.704759-5 2.018366-4 7.772988-5 2.116900-4 7.782968-5 2.116900-4 8.207599-5 2.190000-4 8.306442-5 2.290868-4 8.365688-5 2.338700-4 8.374837-5 2.338700-4 9.092151-5 2.349000-4 9.210944-5 2.363000-4 9.292326-5 2.378000-4 9.320854-5 2.411600-4 9.301171-5 2.411600-4 9.712156-5 2.426000-4 9.778354-5 2.448000-4 9.787224-5 2.520000-4 9.695562-5 2.580000-4 9.684773-5 2.630268-4 9.740729-5 2.675000-4 9.839524-5 2.730000-4 1.001726-4 2.820000-4 1.038288-4 2.970000-4 1.101199-4 3.054921-4 1.130766-4 3.130000-4 1.151456-4 3.240000-4 1.173370-4 3.370000-4 1.190032-4 3.550000-4 1.203980-4 3.820000-4 1.214650-4 4.343400-4 1.221471-4 5.298200-4 1.222070-4 5.298200-4 1.265596-4 5.595000-4 1.280806-4 5.595000-4 1.307487-4 5.888437-4 1.327131-4 6.320000-4 1.345759-4 7.793900-4 1.393267-4 7.793900-4 1.475232-4 9.385100-4 1.531170-4 9.385100-4 1.553011-4 1.072700-3 1.598140-4 1.072700-3 1.634360-4 1.274000-3 1.700085-4 1.548817-3 1.773718-4 1.862087-3 1.842330-4 2.238721-3 1.908751-4 2.660725-3 1.968892-4 2.889300-3 1.996934-4 2.889300-3 2.941449-4 3.021600-3 2.929430-4 3.021600-3 3.106430-4 3.517900-3 3.104727-4 3.517900-3 3.334838-4 4.147600-3 3.366856-4 4.147600-3 3.484515-4 4.447700-3 3.509005-4 4.447700-3 3.617773-4 5.900000-3 3.748611-4 7.673615-3 3.875166-4 9.800000-3 3.993699-4 1.244515-2 4.107541-4 1.461900-2 4.181994-4 1.461900-2 5.173345-4 1.739600-2 5.197526-4 1.739600-2 5.388995-4 1.804200-2 5.394357-4 1.804200-2 5.792817-4 2.570396-2 5.948725-4 3.630781-2 6.100572-4 4.954502-2 6.235764-4 6.760830-2 6.367392-4 9.225714-2 6.490296-4 9.876400-2 6.516279-4 9.876400-2 5.935435-4 2.454709-1 5.974854-4 6.760830-1 5.997420-4 1.000000+5 5.999799-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 9.640000-6 0.0 1.283700-4 0.0 1.283700-4 1.90179-10 1.288500-4 1.94324-10 1.297000-4 2.00311-10 1.304000-4 2.04347-10 1.314000-4 2.09017-10 1.325000-4 2.13224-10 1.340000-4 2.18000-10 1.380384-4 2.29221-10 1.445440-4 2.44120-10 1.500000-4 2.56175-10 1.603245-4 2.80673-10 1.622900-4 2.85788-10 1.622900-4 1.346831-9 1.626000-4 1.377222-9 1.629000-4 1.402801-9 1.632000-4 1.424397-9 1.635000-4 1.442632-9 1.639000-4 1.461592-9 1.643000-4 1.476161-9 1.648500-4 1.489510-9 1.655000-4 1.498584-9 1.662000-4 1.502649-9 1.670000-4 1.502388-9 1.757924-4 1.451331-9 1.800000-4 1.433506-9 1.820000-4 1.426163-9 1.995262-4 1.379981-9 2.089296-4 1.347387-9 2.116900-4 1.335946-9 2.116900-4 1.365196-9 2.213095-4 1.335122-9 2.338700-4 1.284457-9 2.338700-4 1.090179-8 2.339700-4 1.112507-8 2.341700-4 1.146830-8 2.344229-4 1.186060-8 2.346700-4 1.220036-8 2.350000-4 1.258254-8 2.352000-4 1.279514-8 2.355000-4 1.305917-8 2.359000-4 1.334449-8 2.363000-4 1.356332-8 2.367000-4 1.372348-8 2.372000-4 1.385792-8 2.378000-4 1.394421-8 2.385000-4 1.397016-8 2.392000-4 1.394056-8 2.400000-4 1.386253-8 2.411600-4 1.368728-8 2.411600-4 1.218895-8 2.416000-4 1.201105-8 2.423000-4 1.179091-8 2.434000-4 1.154317-8 2.448000-4 1.133276-8 2.470000-4 1.114488-8 2.485000-4 1.107525-8 2.500000-4 1.104187-8 2.520000-4 1.105480-8 2.538000-4 1.112279-8 2.553000-4 1.121865-8 2.565400-4 1.132360-8 2.580000-4 1.149181-8 2.595000-4 1.170812-8 2.608000-4 1.193280-8 2.623000-4 1.223500-8 2.645000-4 1.276461-8 2.660725-4 1.319395-8 2.675000-4 1.362004-8 2.692000-4 1.415853-8 2.722701-4 1.523123-8 2.754229-4 1.640591-8 2.851018-4 2.018339-8 2.917427-4 2.265528-8 2.930000-4 2.310173-8 2.970000-4 2.442127-8 3.015000-4 2.573166-8 3.054921-4 2.671815-8 3.090295-4 2.746476-8 3.130000-4 2.815145-8 3.165000-4 2.865144-8 3.200000-4 2.906710-8 3.240000-4 2.945446-8 3.320000-4 3.003631-8 3.410000-4 3.048182-8 3.550000-4 3.090348-8 3.715352-4 3.113593-8 4.000000-4 3.120908-8 4.623810-4 3.112584-8 5.298200-4 3.091942-8 5.298200-4 3.192933-8 5.595000-4 3.220865-8 5.595000-4 3.510273-8 5.821032-4 3.617592-8 6.100000-4 3.699354-8 6.850000-4 3.836649-8 7.793900-4 4.004801-8 7.793900-4 4.977486-8 8.709636-4 5.217950-8 9.385100-4 5.382942-8 9.385100-4 5.654971-8 1.072700-3 6.021513-8 1.072700-3 6.476352-8 1.216186-3 6.900899-8 1.396368-3 7.378238-8 1.570000-3 7.794800-8 1.778279-3 8.247130-8 2.000000-3 8.678026-8 2.264644-3 9.139732-8 2.570396-3 9.615228-8 2.889300-3 1.005756-7 2.889300-3 1.256650-7 3.021600-3 1.258496-7 3.021600-3 3.120362-5 3.110000-3 3.160620-5 3.162278-3 3.164476-5 3.273407-3 3.156090-5 3.388442-3 3.157149-5 3.517900-3 3.153085-5 3.517900-3 3.118184-5 4.147600-3 3.082708-5 4.147600-3 3.439591-5 4.447700-3 3.459601-5 4.447700-3 3.509092-5 5.500000-3 3.573368-5 7.161434-3 3.649579-5 9.225714-3 3.721847-5 1.230269-2 3.800448-5 1.461900-2 3.846157-5 1.461900-2 2.860477-3 1.717908-2 2.840768-3 1.739600-2 2.838294-3 1.739600-2 4.159496-3 1.778279-2 4.168714-3 1.804200-2 4.171172-3 1.804200-2 4.345903-3 2.290868-2 4.393817-3 2.917427-2 4.424049-3 4.073803-2 4.449072-3 7.079458-2 4.459555-3 9.876400-2 4.456560-3 9.876400-2 6.970024-2 1.205670-1 7.029495-2 1.584893-1 7.091773-2 2.344229-1 7.146519-2 4.415705-1 7.204359-2 8.413951-1 7.258051-2 1.216186+0 7.275504-2 1.000000+5 7.272160-2 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 9.640000-6 0.0 1.369000-5 4.050000-6 1.369000-5 2.133764-6 1.396368-5 2.353047-6 1.415000-5 2.505456-6 1.445440-5 2.763145-6 1.480000-5 3.065372-6 1.515000-5 3.378645-6 1.590000-5 4.072413-6 1.698244-5 5.107141-6 1.840772-5 6.504797-6 2.572000-5 1.379767-5 2.572000-5 1.271607-5 3.845918-5 2.564818-5 5.184000-5 3.900990-5 5.184000-5 1.674903-5 5.217000-5 1.633730-5 5.240000-5 1.601217-5 5.267000-5 1.557897-5 5.290000-5 1.517484-5 5.340000-5 1.420721-5 5.460000-5 1.170471-5 5.495409-5 1.101919-5 5.535000-5 1.032398-5 5.580000-5 9.644265-6 5.615000-5 9.214017-6 5.649000-5 8.870406-6 5.649000-5 8.043202-6 5.680000-5 7.893832-6 5.700000-5 7.821384-6 5.720000-5 7.769395-6 5.754399-5 7.716083-6 5.800000-5 7.748175-6 5.821032-5 7.781422-6 5.870000-5 7.962105-6 5.920000-5 8.202735-6 5.970000-5 8.508738-6 6.070000-5 9.195104-6 6.110000-5 9.453481-6 6.190000-5 9.925156-6 6.309573-5 1.054017-5 6.395200-5 1.117215-5 6.490000-5 1.196212-5 6.606934-5 1.301999-5 7.230000-5 1.892209-5 7.540000-5 2.197333-5 8.810489-5 3.505392-5 1.083927-4 5.600952-5 1.283700-4 7.693980-5 1.283700-4 6.566690-5 1.304000-4 6.694589-5 1.340000-4 6.989597-5 1.412538-4 7.637643-5 1.622900-4 9.561406-5 1.622900-4 8.709180-5 1.635000-4 8.746414-5 1.648500-4 8.836432-5 1.670000-4 9.028537-5 1.865000-4 1.092692-4 2.089296-4 1.311079-4 2.116900-4 1.338590-4 2.116900-4 1.296126-4 2.213095-4 1.380491-4 2.338700-4 1.501203-4 2.338700-4 1.429376-4 2.352000-4 1.428390-4 2.372000-4 1.440414-4 2.411600-4 1.481346-4 2.411600-4 1.440263-4 2.430000-4 1.451281-4 2.470000-4 1.494082-4 2.550000-4 1.581835-4 2.623000-4 1.650008-4 2.692000-4 1.703045-4 2.800000-4 1.770129-4 2.970000-4 1.868557-4 3.100000-4 1.955968-4 3.240000-4 2.066336-4 3.430000-4 2.234138-4 3.780000-4 2.566110-4 4.731513-4 3.508556-4 5.298200-4 4.075821-4 5.298200-4 4.032285-4 5.595000-4 4.313872-4 5.595000-4 4.287162-4 6.320000-4 4.973867-4 7.793900-4 6.400233-4 7.793900-4 6.318171-4 9.385100-4 7.853392-4 9.385100-4 7.831524-4 1.072700-3 9.128258-4 1.072700-3 9.091993-4 1.737801-3 1.556042-3 2.889300-3 2.689506-3 2.889300-3 2.595029-3 3.021600-3 2.728531-3 3.021600-3 2.679753-3 3.517900-3 3.175896-3 3.517900-3 3.153234-3 4.147600-3 3.780087-3 4.147600-3 3.764752-3 4.447700-3 4.062203-3 4.447700-3 4.050832-3 1.303167-2 1.258063-2 1.461900-2 1.416234-2 1.461900-2 1.124119-2 1.739600-2 1.403795-2 1.739600-2 1.269760-2 1.804200-2 1.333139-2 1.804200-2 1.311682-2 3.054921-2 2.551808-2 9.876400-2 9.365581-2 9.876400-2 2.847021-2 1.015000-1 3.115721-2 1.035142-1 3.305773-2 1.083927-1 3.779944-2 1.216186-1 5.070769-2 1.584893-1 8.697583-2 2.884032-1 2.161376-1 2.754229+0 2.680917+0 1.000000+5 9.999993+4 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 9.876400-2 1.703256+3 1.015000-1 1.585850+3 1.030000-1 1.534556+3 1.060000-1 1.423018+3 1.109175-1 1.274569+3 1.244515-1 9.485089+2 1.412538-1 6.872505+2 2.426610-1 1.689783+2 2.917427-1 1.054524+2 3.427678-1 7.031321+1 3.981072-1 4.862795+1 4.518559-1 3.583881+1 5.128614-1 2.661629+1 5.821032-1 1.991265+1 6.531306-1 1.540160+1 7.413102-1 1.169829+1 8.511380-1 8.740130+0 9.549926-1 6.905830+0 1.135011+0 4.908392+0 1.273503+0 3.928513+0 1.445440+0 3.100847+0 1.603245+0 2.571726+0 1.840772+0 2.019654+0 2.137962+0 1.565423+0 2.398833+0 1.296311+0 2.722701+0 1.061207+0 3.198895+0 8.297608-1 3.715352+0 6.651009-1 4.315191+0 5.369784-1 5.069907+0 4.296148-1 6.025596+0 3.408724-1 7.244360+0 2.684899-1 8.709636+0 2.130465-1 1.071519+1 1.654984-1 1.318257+1 1.295510-1 1.621810+1 1.020137-1 2.089296+1 7.670933-2 2.800000+1 5.562800-2 3.890451+1 3.907709-2 5.888437+1 2.527255-2 1.023293+2 1.427795-2 2.041738+2 7.069349-3 4.073803+2 3.520681-3 1.621810+3 8.803480-4 1.000000+5 1.425200-5 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 9.876400-2 5.771200-4 1.000000+5 5.771200-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 9.876400-2 8.814800-2 1.000000+5 8.814800-2 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 9.876400-2 1.003888-2 1.000000+5 9.999991+4 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.804200-2 6.010633+3 1.830000-2 5.855416+3 1.870000-2 5.643160+3 1.900000-2 5.502080+3 1.950000-2 5.245220+3 2.020000-2 4.955620+3 2.238721-2 4.115824+3 2.426610-2 3.569524+3 2.600160-2 3.138228+3 2.851018-2 2.633163+3 3.548134-2 1.706241+3 3.935501-2 1.377569+3 4.570882-2 1.006178+3 5.500000-2 6.729920+2 6.382635-2 4.824660+2 7.244360-2 3.614524+2 8.413951-2 2.553179+2 1.000000-1 1.695974+2 1.202264-1 1.087639+2 1.500000-1 6.327380+1 2.722701-1 1.447247+1 3.349654-1 8.724953+0 3.981072-1 5.764670+0 4.623810-1 4.056709+0 5.370318-1 2.876391+0 6.095369-1 2.164936+0 6.998420-1 1.601798+0 8.035261-1 1.194288+0 9.332543-1 8.759686-1 1.035142+0 7.112814-1 1.202264+0 5.305438-1 1.348963+0 4.262867-1 1.513561+0 3.447812-1 1.717908+0 2.753237-1 2.018366+0 2.085900-1 2.264644+0 1.721382-1 2.570396+0 1.404363-1 2.951209+0 1.133625-1 3.427678+0 9.050380-2 4.000000+0 7.229700-2 4.677351+0 5.801920-2 5.559043+0 4.586833-2 6.606934+0 3.654265-2 8.000000+0 2.863300-2 9.885531+0 2.205402-2 1.216186+1 1.721287-2 1.566751+1 1.282858-2 2.018366+1 9.638215-3 2.691535+1 7.020451-3 3.758374+1 4.901423-3 5.623413+1 3.206016-3 9.440609+1 1.875194-3 1.757924+2 9.947885-4 3.507519+2 4.949187-4 1.396368+3 1.236611-4 1.000000+5 1.723100-6 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.804200-2 8.351000-4 1.000000+5 8.351000-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.804200-2 5.467700-3 1.000000+5 5.467700-3 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.804200-2 1.173920-2 1.000000+5 9.999999+4 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.739600-2 1.215153+4 1.753000-2 1.199693+4 1.820000-2 1.095900+4 1.970000-2 9.000400+3 2.371374-2 5.596400+3 2.630268-2 4.257500+3 3.311311-2 2.289500+3 4.168694-2 1.209500+3 5.188000-2 6.515900+2 6.531306-2 3.363100+2 8.317638-2 1.665900+2 1.584893-1 2.526400+1 1.949845-1 1.385798+1 2.344229-1 8.177396+0 2.754229-1 5.190009+0 3.198895-1 3.427794+0 3.672823-1 2.354642+0 4.168694-1 1.680544+0 4.731513-1 1.208266+0 5.308844-1 9.014255-1 5.956621-1 6.774153-1 6.606935-1 5.274749-1 7.413102-1 4.029042-1 8.317638-1 3.101821-1 9.440609-1 2.343982-1 1.011579+0 2.024794-1 1.109175+0 1.680200-1 1.216186+0 1.403641-1 1.333521+0 1.180736-1 1.513561+0 9.388462-2 1.757924+0 7.205717-2 2.044000+0 5.560503-2 2.290868+0 4.600956-2 2.600160+0 3.756790-2 3.000000+0 3.012800-2 3.467369+0 2.424459-2 4.027170+0 1.951042-2 4.731513+0 1.556053-2 5.623413+0 1.230764-2 6.683439+0 9.810128-3 8.035261+0 7.759318-3 9.885531+0 6.009680-3 1.216186+1 4.690499-3 1.566751+1 3.495719-3 2.018366+1 2.626282-3 2.691535+1 1.912997-3 3.758374+1 1.335559-3 5.623413+1 8.736264-4 9.440609+1 5.109804-4 1.737801+2 2.742580-4 3.467369+2 1.364345-4 1.380384+3 3.408904-5 1.000000+5 4.695300-7 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.739600-2 5.865900-4 1.000000+5 5.865900-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.739600-2 7.450300-3 1.000000+5 7.450300-3 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.739600-2 9.359110-3 1.000000+5 9.999999+4 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.461900-2 2.860043+4 1.490000-2 2.720992+4 1.659587-2 2.029751+4 2.018366-2 1.174002+4 2.264644-2 8.435883+3 2.800000-2 4.540920+3 3.507519-2 2.315578+3 4.365158-2 1.188249+3 5.370318-2 6.250919+2 6.606934-2 3.261055+2 8.413951-2 1.514186+2 1.548817-1 2.154442+1 1.927525-1 1.077514+1 2.238721-1 6.746825+0 2.600160-1 4.253474+0 2.985383-1 2.799189+0 3.388442-1 1.921375+0 3.801894-1 1.374056+0 4.265795-1 9.898081-1 4.731513-1 7.416753-1 5.248075-1 5.595600-1 5.821032-1 4.252072-1 6.456542-1 3.254661-1 7.161434-1 2.509695-1 7.943282-1 1.950225-1 8.709636-1 1.569071-1 9.440609-1 1.301944-1 1.000000+0 1.146413-1 1.071519+0 9.918979-2 1.161449+0 8.443035-2 1.258925+0 7.238178-2 1.396368+0 5.988505-2 1.737801+0 4.063804-2 2.018366+0 3.138921-2 2.264644+0 2.590418-2 2.570396+0 2.113306-2 2.951209+0 1.705827-2 3.427678+0 1.361855-2 4.000000+0 1.087900-2 4.677351+0 8.730743-3 5.559043+0 6.902425-3 6.606934+0 5.499002-3 8.000000+0 4.308700-3 9.885531+0 3.318753-3 1.216186+1 2.590260-3 1.566751+1 1.930493-3 2.041738+1 1.431851-3 2.722701+1 1.043320-3 3.801894+1 7.285928-4 5.688529+1 4.766858-4 9.660509+1 2.755852-4 1.840772+2 1.428628-4 3.672823+2 7.110074-5 1.462177+3 1.777002-5 1.000000+5 2.593000-7 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.461900-2 5.855000-4 1.000000+5 5.855000-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.461900-2 4.800900-3 1.000000+5 4.800900-3 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.461900-2 9.232600-3 1.000000+5 9.999999+4 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 4.447700-3 1.621063+4 4.780000-3 1.477554+4 4.920000-3 1.424722+4 5.230000-3 1.307434+4 5.650000-3 1.179332+4 5.900000-3 1.108250+4 6.800000-3 8.930760+3 7.328245-3 7.983708+3 7.852356-3 7.147619+3 9.660509-3 5.069807+3 1.080000-2 4.174540+3 1.244515-2 3.245433+3 1.462177-2 2.410971+3 1.640590-2 1.940018+3 1.949845-2 1.388438+3 2.344229-2 9.614977+2 2.800000-2 6.680340+2 3.349654-2 4.583002+2 3.935501-2 3.240427+2 4.623810-2 2.274748+2 5.432503-2 1.585550+2 6.456542-2 1.068884+2 7.762471-2 6.962871+1 9.225714-2 4.622444+1 1.135011-1 2.805370+1 1.462177-1 1.511115+1 2.600160-1 3.640844+0 3.235937-1 2.134100+0 3.845918-1 1.409255+0 4.518559-1 9.637639-1 5.188000-1 7.007450-1 5.956621-1 5.132601-1 6.839117-1 3.789003-1 7.762471-1 2.889110-1 8.810489-1 2.216587-1 9.772372-1 1.795787-1 1.188502+0 1.221670-1 1.318257+0 1.002027-1 1.496236+0 7.926554-2 1.698244+0 6.325643-2 1.972423+0 4.884381-2 2.213095+0 4.025170-2 2.511886+0 3.279271-2 2.884032+0 2.643758-2 3.388442+0 2.072775-2 3.935501+0 1.666152-2 4.623810+0 1.327348-2 5.495409+0 1.048820-2 6.531306+0 8.351570-3 7.852356+0 6.599582-3 9.660509+0 5.106782-3 1.188502+1 3.982529-3 1.531087+1 2.965317-3 2.000000+1 2.192400-3 2.660725+1 1.600663-3 3.672823+1 1.130994-3 5.432503+1 7.484004-4 8.912509+1 4.479875-4 1.513561+2 2.607624-4 3.019952+2 1.295808-4 1.202264+3 3.235021-5 3.801894+4 1.020574-6 1.000000+5 3.879700-7 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 4.447700-3 6.159900-4 1.000000+5 6.159900-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.447700-3 4.665800-5 1.000000+5 4.665800-5 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.447700-3 3.785052-3 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 4.147600-3 2.612417+4 4.340000-3 2.495483+4 4.518559-3 2.384156+4 5.011872-3 2.097068+4 5.248075-3 1.971483+4 5.559043-3 1.813084+4 6.300000-3 1.502416+4 6.650000-3 1.379834+4 7.161434-3 1.223222+4 8.609938-3 8.837748+3 9.225714-3 7.771034+3 1.083927-2 5.679310+3 1.174898-2 4.824536+3 1.364583-2 3.526292+3 1.500000-2 2.872060+3 1.717908-2 2.123809+3 1.950000-2 1.586996+3 2.162719-2 1.244366+3 2.500000-2 8.778000+2 2.917427-2 5.991896+2 3.388442-2 4.101107+2 3.935501-2 2.784429+2 4.623810-2 1.819746+2 5.432503-2 1.180140+2 6.456542-2 7.363844+1 7.852356-2 4.280335+1 1.000000-1 2.171291+1 1.883649-1 3.607700+0 2.344229-1 1.952329+0 2.786121-1 1.210278+0 3.235937-1 8.049768-1 3.715352-1 5.561340-1 4.265795-1 3.870224-1 4.841724-1 2.796145-1 5.432503-1 2.094835-1 6.095369-1 1.580327-1 6.839117-1 1.201009-1 7.585776-1 9.444350-2 8.609938-1 7.096217-2 9.440609-1 5.807229-2 1.023293+0 4.908152-2 1.122018+0 4.079737-2 1.244515+0 3.339059-2 1.396368+0 2.695123-2 1.621810+0 2.059110-2 1.883649+0 1.585820-2 2.137962+0 1.279331-2 2.426610+0 1.040166-2 2.754229+0 8.519458-3 3.235937+0 6.664153-3 3.758374+0 5.344783-3 4.415704+0 4.248302-3 5.188000+0 3.402289-3 6.165950+0 2.702304-3 7.413102+0 2.130528-3 8.912509+0 1.692035-3 1.096478+1 1.315532-3 1.348963+1 1.030654-3 1.640590+1 8.227616-4 2.113489+1 6.188515-4 2.818383+1 4.513343-4 3.935501+1 3.154251-4 6.000000+1 2.025100-4 1.059254+2 1.126085-4 2.113489+2 5.578063-5 4.216965+2 2.778601-5 1.678804+3 6.948827-6 1.000000+5 1.164600-7 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 4.147600-3 5.387500-4 1.000000+5 5.387500-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.147600-3 9.211700-5 1.000000+5 9.211700-5 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.147600-3 3.516733-3 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 3.517900-3 8.873399+4 3.613000-3 8.531455+4 3.845918-3 7.731586+4 4.365158-3 6.262806+4 4.786301-3 5.302995+4 5.500000-3 4.103600+4 6.025596-3 3.447895+4 7.328245-3 2.320826+4 7.943282-3 1.957874+4 9.440609-3 1.343388+4 1.035142-2 1.090750+4 1.190000-2 7.899000+3 1.350000-2 5.841760+3 1.500000-2 4.517480+3 1.737801-2 3.124368+3 1.972423-2 2.255976+3 2.213095-2 1.668115+3 2.540973-2 1.152347+3 2.951209-2 7.650158+2 3.427678-2 5.034681+2 3.981072-2 3.286221+2 4.623810-2 2.128870+2 5.370318-2 1.369404+2 6.382635-2 8.166317+1 7.673615-2 4.667676+1 9.440609-2 2.468386+1 1.819701-1 3.213095+0 2.264644-1 1.639571+0 2.660725-1 1.005871+0 3.054921-1 6.663510-1 3.467369-1 4.600548-1 3.935501-1 3.199952-1 4.415705-1 2.317062-1 4.954502-1 1.690446-1 5.495409-1 1.281812-1 6.095369-1 9.787191-2 6.760830-1 7.527889-2 7.498942-1 5.832077-2 8.709636-1 4.068492-2 9.332543-1 3.468746-2 9.885531-1 3.055530-2 1.071519+0 2.583034-2 1.161449+0 2.199091-2 1.258925+0 1.884105-2 1.396368+0 1.557957-2 1.717908+0 1.078300-2 2.000000+0 8.291128-3 2.238721+0 6.864639-3 2.540973+0 5.596477-3 2.917427+0 4.514864-3 3.388442+0 3.602762-3 3.935501+0 2.896058-3 4.623810+0 2.307141-3 5.495409+0 1.823023-3 6.531306+0 1.451573-3 7.852356+0 1.147128-3 9.660509+0 8.876283-4 1.188502+1 6.922055-4 1.531087+1 5.154095-4 2.000000+1 3.810600-4 2.660725+1 2.782064-4 3.715352+1 1.941870-4 5.495409+1 1.285253-4 9.120108+1 7.604115-5 1.603245+2 4.274805-5 3.198895+2 2.125264-5 1.273503+3 5.307626-6 4.027170+4 1.674639-7 1.000000+5 6.743400-8 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 3.517900-3 4.749000-4 1.000000+5 4.749000-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.517900-3 2.903700-5 1.000000+5 2.903700-5 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.517900-3 3.013963-3 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 3.021600-3 2.397994+5 3.150000-3 2.181502+5 3.264200-3 1.988735+5 3.350000-3 1.865764+5 3.589219-3 1.560459+5 4.027170-3 1.144984+5 4.466836-3 8.608827+4 5.069907-3 6.022328+4 5.623413-3 4.457940+4 6.309573-3 3.167966+4 7.673615-3 1.742087+4 8.511380-3 1.258462+4 9.800000-3 8.038440+3 1.150000-2 4.773880+3 1.273503-2 3.405091+3 1.479108-2 2.058145+3 1.730000-2 1.203000+3 2.018366-2 7.028494+2 2.344229-2 4.138596+2 2.722701-2 2.419525+2 3.198895-2 1.347547+2 3.845918-2 6.845731+1 4.677351-2 3.306399+1 5.888437-2 1.393002+1 1.122019-1 1.218112+0 1.396368-1 5.363795-1 1.678804-1 2.706502-1 1.949845-1 1.562617-1 2.264644-1 9.083180-2 2.570396-1 5.782428-2 2.884032-1 3.864453-2 3.235937-1 2.603389-2 3.630781-1 1.767178-2 4.073803-1 1.208550-2 4.518559-1 8.638509-3 5.011872-1 6.219207-3 5.559043-1 4.513664-3 6.165950-1 3.302391-3 6.760830-1 2.518693-3 7.328245-1 1.999585-3 8.511380-1 1.318681-3 9.015711-1 1.130768-3 9.440609-1 1.005743-3 9.885531-1 9.001313-4 1.035142+0 8.112297-4 1.096478+0 7.176572-4 1.161449+0 6.392801-4 1.244515+0 5.606108-4 1.348963+0 4.846043-4 1.548817+0 3.809654-4 1.883649+0 2.702142-4 2.137962+0 2.178091-4 2.398833+0 1.803654-4 2.722701+0 1.476490-4 3.198895+0 1.154429-4 3.715352+0 9.253345-5 4.315191+0 7.470746-5 5.069907+0 5.977008-5 6.025596+0 4.742423-5 7.244360+0 3.735445-5 8.709636+0 2.964018-5 1.071519+1 2.302514-5 1.318257+1 1.802328-5 1.621810+1 1.419329-5 2.065380+1 1.080944-5 2.754229+1 7.878821-6 3.845918+1 5.503573-6 5.754399+1 3.601571-6 9.885531+1 2.057989-6 1.972423+2 1.018529-6 3.935501+2 5.071515-7 1.566751+3 1.267940-7 1.000000+5 1.982800-9 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 3.021600-3 3.522800-4 1.000000+5 3.522800-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.021600-3 1.043100-4 1.000000+5 1.043100-4 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.021600-3 2.565010-3 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.889300-3 4.030333+5 3.090295-3 3.208399+5 3.110000-3 3.146928+5 3.235937-3 2.843666+5 3.467369-3 2.365957+5 3.845918-3 1.782641+5 4.300000-3 1.304760+5 4.731513-3 9.922207+4 5.188000-3 7.577468+4 5.821032-3 5.369406+4 6.237348-3 4.350217+4 7.500000-3 2.450334+4 8.317638-3 1.759851+4 9.440609-3 1.167848+4 1.096478-2 7.114283+3 1.216186-2 5.017970+3 1.400000-2 3.100362+3 1.621810-2 1.856942+3 1.883649-2 1.092147+3 2.162719-2 6.639444+2 2.454709-2 4.182111+2 2.818383-2 2.510270+2 3.235937-2 1.498033+2 3.801894-2 8.146627+1 4.570882-2 4.029594+1 5.432503-2 2.069420+1 1.096478-1 1.342573+0 1.348963-1 6.025702-1 1.603245-1 3.113095-1 1.840772-1 1.847445-1 2.113489-1 1.104575-1 2.371374-1 7.245270-2 2.630268-1 4.990929-2 2.917427-1 3.463985-2 3.198895-1 2.520989-2 3.507519-1 1.846947-2 3.845918-1 1.362058-2 4.265795-1 9.741937-3 4.677351-1 7.284323-3 5.069907-1 5.683382-3 5.559043-1 4.312543-3 6.095369-1 3.297425-3 6.683439-1 2.539520-3 7.244360-1 2.034200-3 7.852356-1 1.640198-3 8.609938-1 1.287898-3 9.120108-1 1.114329-3 9.660509-1 9.710954-4 1.011579+0 8.752419-4 1.071519+0 7.738811-4 1.148154+0 6.727562-4 1.230269+0 5.889844-4 1.333521+0 5.079628-4 1.819701+0 2.938226-4 2.089296+0 2.319003-4 2.344229+0 1.917769-4 2.660725+0 1.567798-4 3.090295+0 1.245841-4 3.589219+0 9.968886-5 4.168694+0 8.035534-5 4.897788+0 6.418766-5 5.821032+0 5.085040-5 6.918310+0 4.059007-5 8.317638+0 3.214905-5 1.023293+1 2.493164-5 1.273503+1 1.922219-5 1.584893+1 1.492578-5 2.041738+1 1.121658-5 2.722701+1 8.172643-6 3.801894+1 5.707297-6 5.688529+1 3.734025-6 9.660509+1 2.158752-6 1.840772+2 1.119061-6 3.672823+2 5.569545-7 1.462177+3 1.391969-7 1.000000+5 2.031100-9 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.889300-3 3.506700-4 1.000000+5 3.506700-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.889300-3 1.406800-7 1.000000+5 1.406800-7 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.889300-3 2.538489-3 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.072700-3 3.614440+4 1.168000-3 3.415540+4 1.273503-3 3.152333+4 1.570000-3 2.527900+4 1.905461-3 2.003772+4 2.065380-3 1.805313+4 2.511886-3 1.382992+4 2.786121-3 1.191263+4 3.273407-3 9.371019+3 3.801894-3 7.424317+3 4.315191-3 6.063279+3 5.128614-3 4.557490+3 6.095369-3 3.394162+3 7.244360-3 2.505537+3 8.609938-3 1.834696+3 1.035142-2 1.304476+3 1.230269-2 9.402003+2 1.462177-2 6.729250+2 1.737801-2 4.782309+2 2.065380-2 3.375199+2 2.483133-2 2.308770+2 2.951209-2 1.605140+2 3.507519-2 1.107927+2 4.168694-2 7.589594+1 4.954502-2 5.162480+1 5.888437-2 3.485933+1 7.079458-2 2.275705+1 8.413951-2 1.515179+1 1.035142-1 9.218771+0 1.318257-1 5.120269+0 1.621810-1 3.075325+0 2.540973-1 1.013122+0 3.162278-1 5.935494-1 3.801894-1 3.810269-1 4.466836-1 2.604499-1 5.128614-1 1.892602-1 5.888437-1 1.385329-1 6.760830-1 1.021943-1 7.673615-1 7.787018-2 8.810489-1 5.830044-2 9.772372-1 4.722791-2 1.174898+0 3.285276-2 1.303167+0 2.692821-2 1.479108+0 2.128802-2 1.678804+0 1.697681-2 1.949845+0 1.310068-2 2.187762+0 1.078763-2 2.454709+0 8.944981-3 2.786121+0 7.331632-3 3.273407+0 5.738932-3 3.801894+0 4.605377-3 4.466836+0 3.662669-3 5.308844+0 2.889454-3 6.309573+0 2.297346-3 7.585776+0 1.812977-3 9.225714+0 1.420862-3 1.135011+1 1.106105-3 1.412538+1 8.560265-4 1.757924+1 6.664543-4 2.290868+1 4.959534-4 3.126079+1 3.535246-4 4.415704+1 2.446641-4 6.760830+1 1.567345-4 1.148154+2 9.086152-5 2.290868+2 4.504489-5 4.570882+2 2.244746-5 1.819701+3 5.615833-6 1.000000+5 1.020300-7 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.072700-3 3.522400-4 1.000000+5 3.522400-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.072700-3 3.018600-7 1.000000+5 3.018600-7 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.072700-3 7.201581-4 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 9.385100-4 3.181184+4 1.050000-3 3.150296+4 1.100000-3 3.130517+4 1.216186-3 3.038445+4 1.288250-3 2.964996+4 1.396368-3 2.842894+4 1.500000-3 2.721100+4 1.621810-3 2.576463+4 1.730000-3 2.450060+4 1.862087-3 2.293887+4 2.089296-3 2.050215+4 2.238721-3 1.905906+4 2.426610-3 1.737380+4 2.722701-3 1.510111+4 2.951209-3 1.360157+4 3.311311-3 1.161012+4 3.650000-3 1.009058+4 4.120975-3 8.388870+3 4.570882-3 7.116547+3 5.188000-3 5.768504+3 5.800000-3 4.757500+3 6.531306-3 3.846894+3 7.413102-3 3.041365+3 8.317638-3 2.438936+3 9.440609-3 1.898772+3 1.080000-2 1.443194+3 1.230269-2 1.097632+3 1.412538-2 8.142525+2 1.621810-2 5.989474+2 1.850000-2 4.435780+2 2.100000-2 3.299360+2 2.400000-2 2.398720+2 2.754229-2 1.713761+2 3.198895-2 1.179555+2 3.715352-2 8.055149+1 4.315191-2 5.460099+1 5.069907-2 3.564620+1 6.025596-2 2.239749+1 7.244360-2 1.353271+1 9.015711-2 7.378261+0 1.148154-1 3.744420+0 1.905461-1 8.977299-1 2.398833-1 4.718881-1 2.851018-1 2.933479-1 3.311311-1 1.956676-1 3.801894-1 1.355591-1 4.365158-1 9.459012-2 4.954502-1 6.849556-2 5.623413-1 4.997852-2 6.309573-1 3.780186-2 7.079458-1 2.880706-2 7.852356-1 2.271045-2 8.709636-1 1.800301-2 9.440609-1 1.511689-2 1.023293+0 1.277789-2 1.122018+0 1.062174-2 1.244515+0 8.693603-3 1.396368+0 7.016599-3 1.621810+0 5.361017-3 1.883649+0 4.128924-3 2.137962+0 3.329711-3 2.398833+0 2.757415-3 2.722701+0 2.257266-3 3.198895+0 1.764919-3 3.715352+0 1.414710-3 4.365158+0 1.123838-3 5.128614+0 8.995712-4 6.095369+0 7.141324-4 7.328245+0 5.627656-4 8.810489+0 4.467360-4 1.083927+1 3.471913-4 1.333521+1 2.718814-4 1.621810+1 2.169876-4 2.089296+1 1.631575-4 2.800000+1 1.183200-4 3.890451+1 8.311646-5 5.888437+1 5.375520-5 1.023293+2 3.036857-5 2.041738+2 1.503613-5 4.073803+2 7.488540-6 1.621810+3 1.872466-6 1.000000+5 3.031300-8 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 9.385100-4 3.179200-4 1.000000+5 3.179200-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 9.385100-4 2.590900-7 1.000000+5 2.590900-7 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 9.385100-4 6.203309-4 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 7.793900-4 1.854695+5 8.430000-4 1.753055+5 9.015711-4 1.651616+5 9.225714-4 1.621422+5 1.011579-3 1.481480+5 1.122018-3 1.326346+5 1.230269-3 1.194928+5 1.380384-3 1.039491+5 1.496236-3 9.365451+4 1.737801-3 7.631799+4 1.900000-3 6.712520+4 2.187762-3 5.419960+4 2.400000-3 4.685440+4 2.754229-3 3.737126+4 3.054921-3 3.132712+4 3.507519-3 2.455231+4 3.981072-3 1.946744+4 4.466836-3 1.566601+4 5.128614-3 1.196702+4 5.888437-3 9.058666+3 6.606934-3 7.133654+3 7.413102-3 5.584949+3 8.413951-3 4.236836+3 9.660509-3 3.108592+3 1.109175-2 2.261418+3 1.270000-2 1.642240+3 1.445440-2 1.200728+3 1.640590-2 8.777259+2 1.862087-2 6.373136+2 2.137962-2 4.459965+2 2.454709-2 3.097069+2 2.818383-2 2.133808+2 3.235937-2 1.459175+2 3.758374-2 9.591568+1 4.365158-2 6.256037+1 5.069907-2 4.050984+1 5.956621-2 2.517959+1 7.079458-2 1.501209+1 8.609938-2 8.286829+0 1.096478-1 3.942022+0 2.018366-1 5.975907-1 2.317395-1 3.878809-1 2.540973-1 2.926916-1 2.722701-1 2.383938-1 2.917427-1 1.954959-1 3.019952-1 1.773464-1 3.427678-1 1.224844-1 3.890451-1 8.521383-2 4.365158-1 6.170468-2 4.897788-1 4.500944-2 5.432503-1 3.411499-2 6.025596-1 2.603239-2 6.683439-1 2.000507-2 7.413102-1 1.548601-2 8.609938-1 1.080735-2 9.225714-1 9.211919-3 9.772372-1 8.109999-3 1.047129+0 7.014431-3 1.135011+0 5.962040-3 1.244515+0 4.988654-3 1.380384+0 4.120350-3 1.698244+0 2.849308-3 1.972423+0 2.198524-3 2.213095+0 1.811600-3 2.511886+0 1.475881-3 2.884032+0 1.189911-3 3.388442+0 9.329503-4 3.935501+0 7.499416-4 4.623810+0 5.974381-4 5.495409+0 4.720727-4 6.531306+0 3.759014-4 7.852356+0 2.970420-4 9.660509+0 2.298524-4 1.188502+1 1.792463-4 1.548817+1 1.317230-4 2.018366+1 9.767593-5 2.691535+1 7.114711-5 3.758374+1 4.967278-5 5.559043+1 3.288428-5 9.332543+1 1.922993-5 1.698244+2 1.044123-5 3.388442+2 5.193279-6 1.348963+3 1.297394-6 4.265795+4 4.094328-8 1.000000+5 1.746200-8 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 7.793900-4 2.818400-4 1.000000+5 2.818400-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 7.793900-4 2.091700-7 1.000000+5 2.091700-7 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 7.793900-4 4.973408-4 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 5.595000-4 1.352643+5 5.604000-4 1.383216+5 5.615500-4 1.403434+5 5.807000-4 1.738968+5 6.080000-4 1.977986+5 6.309573-4 2.052557+5 6.320000-4 2.063556+5 6.550000-4 2.118592+5 7.244360-4 2.219588+5 7.500000-4 2.240392+5 7.852356-4 2.249545+5 8.222426-4 2.245375+5 8.609938-4 2.226666+5 9.015711-4 2.193618+5 9.500000-4 2.139076+5 1.000000-3 2.073284+5 1.050000-3 2.000280+5 1.110000-3 1.907928+5 1.190000-3 1.779668+5 1.274000-3 1.651322+5 1.350000-3 1.539424+5 1.445440-3 1.405400+5 1.570000-3 1.248548+5 1.690000-3 1.115584+5 1.819701-3 9.884226+4 2.000000-3 8.396760+4 2.162719-3 7.283627+4 2.371374-3 6.105638+4 2.570396-3 5.201853+4 2.800000-3 4.355000+4 3.090295-3 3.522397+4 3.388442-3 2.865489+4 3.715352-3 2.316094+4 4.073803-3 1.858374+4 4.500000-3 1.454976+4 5.011872-3 1.106767+4 5.500000-3 8.683240+3 6.095369-3 6.595636+3 6.839116-3 4.806046+3 7.673615-3 3.472260+3 8.511380-3 2.573419+3 9.440609-3 1.895194+3 1.047129-2 1.387139+3 1.174898-2 9.737279+2 1.318257-2 6.786722+2 1.479108-2 4.697917+2 1.659587-2 3.230746+2 1.862087-2 2.207750+2 2.113489-2 1.441824+2 2.426610-2 8.987425+1 2.786121-2 5.559558+1 3.235937-2 3.278126+1 3.801894-2 1.840743+1 4.518559-2 9.837783+0 5.495409-2 4.796199+0 7.000000-2 1.955328+0 1.244515-1 2.287848-1 1.513561-1 1.109207-1 1.819701-1 5.650374-2 2.162719-1 3.025985-2 2.454709-1 1.926776-2 2.786121-1 1.235810-2 3.090295-1 8.648758-3 3.467369-1 5.862545-3 3.890451-1 4.003310-3 4.365158-1 2.752657-3 4.841724-1 1.979096-3 5.308844-1 1.486257-3 5.821032-1 1.123582-3 6.456542-1 8.262800-4 7.079458-1 6.332740-4 8.128305-1 4.303968-4 8.609938-1 3.669672-4 9.120108-1 3.149483-4 9.549926-1 2.803945-4 1.000000+0 2.512642-4 1.047129+0 2.267072-4 1.109175+0 2.007784-4 1.174898+0 1.790299-4 1.258925+0 1.571698-4 1.364583+0 1.360441-4 1.531087+0 1.114604-4 1.862087+0 7.901491-5 2.113489+0 6.365248-5 2.371374+0 5.267515-5 2.691535+0 4.308889-5 3.162278+0 3.366706-5 3.672823+0 2.697052-5 4.265795+0 2.176315-5 5.011872+0 1.740253-5 5.956621+0 1.380053-5 7.161434+0 1.086507-5 8.609938+0 8.617381-6 1.059254+1 6.691450-6 1.303167+1 5.235547-6 1.603245+1 4.121870-6 2.041738+1 3.138296-6 2.722701+1 2.286629-6 3.801894+1 1.596887-6 5.688529+1 1.044761-6 9.660509+1 6.040041-7 1.862087+2 3.094827-7 3.715352+2 1.540325-7 1.479108+3 3.850037-8 1.000000+5 5.68310-10 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 5.595000-4 2.189900-4 1.000000+5 2.189900-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 5.595000-4 1.308200-7 1.000000+5 1.308200-7 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 5.595000-4 3.403792-4 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 5.298200-4 2.287745+5 5.445000-4 2.659593+5 5.630000-4 3.089639+5 5.880000-4 3.353353+5 6.200000-4 3.582660+5 6.382635-4 3.629435+5 7.000000-4 3.733446+5 7.244360-4 3.748161+5 7.650000-4 3.734886+5 8.035261-4 3.697767+5 8.413951-4 3.639601+5 8.850000-4 3.550380+5 9.350000-4 3.429486+5 9.930000-4 3.274134+5 1.047129-3 3.120484+5 1.122018-3 2.904194+5 1.202264-3 2.685299+5 1.274000-3 2.498429+5 1.350000-3 2.309466+5 1.462177-3 2.056702+5 1.570000-3 1.843602+5 1.678804-3 1.651764+5 1.840772-3 1.408581+5 1.995262-3 1.216354+5 2.187762-3 1.019554+5 2.371374-3 8.682277+4 2.600160-3 7.166849+4 2.851018-3 5.874760+4 3.126079-3 4.776965+4 3.427678-3 3.859016+4 3.801894-3 3.008568+4 4.168694-3 2.395295+4 4.677351-3 1.784942+4 5.188000-3 1.358167+4 5.688529-3 1.058771+4 6.309573-3 7.946880+3 7.079458-3 5.728013+3 8.000000-3 4.008660+3 9.015711-3 2.802466+3 1.011579-2 1.969133+3 1.150000-2 1.317210+3 1.303167-2 8.820594+2 1.462177-2 6.052037+2 1.621810-2 4.286763+2 1.840772-2 2.791617+2 2.089296-2 1.804176+2 2.371374-2 1.157244+2 2.722701-2 7.073365+1 3.126079-2 4.290585+1 3.630781-2 2.476853+1 4.265795-2 1.359641+1 5.069907-2 7.094186+0 6.165950-2 3.367530+0 1.216186-1 2.477094-1 1.479108-1 1.175234-1 1.737801-1 6.404408-2 2.018366-1 3.671148-2 2.290868-1 2.305415-2 2.570396-1 1.521449-2 2.818383-1 1.098036-2 3.090295-1 7.976466-3 3.388442-1 5.836544-3 3.715352-1 4.300368-3 4.120975-1 3.073881-3 4.518559-1 2.296216-3 4.954502-1 1.727343-3 5.432503-1 1.308878-3 5.956621-1 9.992190-4 6.531306-1 7.682319-4 7.079458-1 6.144606-4 7.673615-1 4.948495-4 8.511380-1 3.776552-4 9.015711-1 3.269757-4 9.549926-1 2.849947-4 1.000000+0 2.567554-4 1.059254+0 2.269406-4 1.135011+0 1.971791-4 1.216186+0 1.725021-4 1.333521+0 1.454960-4 1.698244+0 9.480724-5 1.972423+0 7.313010-5 2.213095+0 6.026423-5 2.511886+0 4.909926-5 2.884032+0 3.958554-5 3.388442+0 3.103652-5 3.935501+0 2.494824-5 4.623810+0 1.987514-5 5.495409+0 1.570463-5 6.531306+0 1.250550-5 7.943282+0 9.739914-6 9.772372+0 7.540167-6 1.202264+1 5.882595-6 1.566751+1 4.325095-6 2.018366+1 3.249405-6 2.691535+1 2.366867-6 3.758374+1 1.652457-6 5.623413+1 1.080882-6 9.440609+1 6.322032-7 1.757924+2 3.353792-7 3.507519+2 1.668591-7 1.396368+3 4.169244-8 1.000000+5 5.80930-10 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 5.298200-4 2.107600-4 1.000000+5 2.107600-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 5.298200-4 5.146600-8 1.000000+5 5.146600-8 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 5.298200-4 3.190085-4 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 2.411600-4 1.093650+5 2.412000-4 1.108950+5 2.414000-4 1.151982+5 2.416000-4 1.190580+5 2.418700-4 1.236750+5 2.421000-4 1.269930+5 2.423000-4 1.295538+5 2.426000-4 1.326798+5 2.430000-4 1.358430+5 2.434000-4 1.379658+5 2.437000-4 1.389594+5 2.442000-4 1.397544+5 2.448000-4 1.396458+5 2.455000-4 1.384980+5 2.465000-4 1.357014+5 2.500000-4 1.238628+5 2.520000-4 1.181964+5 2.538000-4 1.140990+5 2.553000-4 1.114086+5 2.570396-4 1.090954+5 2.585000-4 1.077882+5 2.600160-4 1.070431+5 2.615000-4 1.068984+5 2.630268-4 1.073841+5 2.645000-4 1.084710+5 2.660725-4 1.103258+5 2.675000-4 1.126542+5 2.691535-4 1.161399+5 2.710000-4 1.210542+5 2.730000-4 1.276326+5 2.750000-4 1.355046+5 2.770000-4 1.446690+5 2.790000-4 1.551270+5 2.820000-4 1.731714+5 2.851018-4 1.948793+5 2.917427-4 2.522411+5 3.000000-4 3.462462+5 3.054921-4 4.230633+5 3.100000-4 4.938000+5 3.130000-4 5.440542+5 3.165000-4 6.051120+5 3.200000-4 6.678240+5 3.240000-4 7.407960+5 3.280000-4 8.138520+5 3.311311-4 8.707327+5 3.350000-4 9.401760+5 3.390000-4 1.010616+6 3.430000-4 1.079436+6 3.470000-4 1.146438+6 3.515000-4 1.219464+6 3.550000-4 1.274256+6 3.600000-4 1.349040+6 3.650000-4 1.419654+6 3.700000-4 1.485270+6 3.760000-4 1.556820+6 3.820000-4 1.620024+6 3.890451-4 1.683235+6 3.970000-4 1.742130+6 4.050000-4 1.788744+6 4.150000-4 1.833420+6 4.240000-4 1.862196+6 4.350000-4 1.885830+6 4.479900-4 1.899538+6 4.600000-4 1.899186+6 4.731513-4 1.886773+6 4.897788-4 1.856509+6 5.080000-4 1.811406+6 5.248075-4 1.763464+6 5.432503-4 1.705145+6 5.688529-4 1.619900+6 5.900000-4 1.546764+6 6.165950-4 1.453040+6 6.500000-4 1.337658+6 6.918310-4 1.203312+6 7.300000-4 1.090812+6 7.762471-4 9.667874+5 8.317638-4 8.367524+5 8.912509-4 7.189598+5 9.500000-4 6.203700+5 1.030000-3 5.102220+5 1.110000-3 4.228434+5 1.202264-3 3.432164+5 1.303167-3 2.761850+5 1.412538-3 2.207308+5 1.548817-3 1.695647+5 1.698244-3 1.292794+5 1.862087-3 9.784986+4 2.041738-3 7.355527+4 2.264644-3 5.293103+4 2.500000-3 3.836718+4 2.722701-3 2.890539+4 3.054921-3 1.956284+4 3.427678-3 1.312094+4 3.845918-3 8.724078+3 4.315191-3 5.752326+3 4.800000-3 3.885192+3 5.308844-3 2.663112+3 5.888437-3 1.794958+3 6.606934-3 1.149620+3 7.498942-3 6.983140+2 8.511380-3 4.205460+2 9.549926-3 2.633586+2 1.083927-2 1.562244+2 1.230269-2 9.200435+1 1.396368-2 5.380125+1 1.584893-2 3.124079+1 1.819701-2 1.713518+1 2.089296-2 9.330995+0 2.426610-2 4.794357+0 2.884032-2 2.206160+0 3.548134-2 8.618574-1 4.623810-2 2.569345-1 8.317638-2 1.730576-2 1.011580-1 7.085014-3 1.205670-1 3.204389-3 1.412538-1 1.577671-3 1.640590-1 8.134985-4 1.862087-1 4.676221-4 2.162719-1 2.450437-4 2.398833-1 1.577641-4 2.630268-1 1.074624-4 2.851018-1 7.735612-5 3.054921-1 5.868039-5 3.311311-1 4.280509-5 3.672823-1 2.875828-5 4.570882-1 1.255020-5 5.000000-1 8.998514-6 5.432503-1 6.670519-6 5.821032-1 5.231906-6 6.165950-1 4.296138-6 6.606935-1 3.414320-6 7.079458-1 2.730549-6 7.498942-1 2.274278-6 8.035261-1 1.818582-6 8.511380-1 1.519104-6 8.912509-1 1.323378-6 9.332543-1 1.160684-6 9.660509-1 1.057427-6 1.000000+0 9.682604-7 1.035142+0 8.914315-7 1.083927+0 8.040614-7 1.135011+0 7.303987-7 1.202264+0 6.530987-7 1.288250+0 5.760813-7 1.396368+0 5.015725-7 1.513561+0 4.384344-7 1.927525+0 2.868860-7 2.162719+0 2.360371-7 2.426610+0 1.955934-7 2.754229+0 1.602070-7 3.273407+0 1.231841-7 3.801894+0 9.885170-8 4.466836+0 7.861748-8 5.308844+0 6.202107-8 6.309573+0 4.931125-8 7.585776+0 3.891379-8 9.225714+0 3.049716-8 1.135011+1 2.374208-8 1.412538+1 1.837426-8 1.757924+1 1.430564-8 2.317395+1 1.051119-8 3.162278+1 7.494657-9 4.466836+1 5.188269-9 6.839116+1 3.324321-9 1.161449+2 1.927440-9 2.317395+2 9.55671-10 4.623810+2 4.76277-10 3.672823+3 5.96795-11 1.000000+5 2.19000-12 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 2.411600-4 1.266000-4 1.000000+5 1.266000-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 2.411600-4 1.442000-9 1.000000+5 1.442000-9 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 2.411600-4 1.145586-4 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 2.338700-4 1.317808+5 2.339700-4 1.354088+5 2.341700-4 1.410080+5 2.344229-4 1.474750+5 2.346700-4 1.531264+5 2.349000-4 1.577568+5 2.352000-4 1.631000+5 2.355000-4 1.675344+5 2.359000-4 1.722944+5 2.363000-4 1.758784+5 2.367000-4 1.784032+5 2.372000-4 1.803584+5 2.378000-4 1.813376+5 2.385000-4 1.811008+5 2.392000-4 1.798480+5 2.400000-4 1.776256+5 2.450000-4 1.602864+5 2.470000-4 1.547832+5 2.485000-4 1.515456+5 2.500000-4 1.490968+5 2.518700-4 1.471559+5 2.535000-4 1.464880+5 2.550000-4 1.467416+5 2.565400-4 1.479020+5 2.580000-4 1.498800+5 2.595000-4 1.528416+5 2.608000-4 1.561976+5 2.623000-4 1.610040+5 2.640000-4 1.676920+5 2.655000-4 1.747000+5 2.670000-4 1.827520+5 2.692000-4 1.964360+5 2.720000-4 2.170424+5 2.754229-4 2.470406+5 2.800000-4 2.955088+5 2.930000-4 4.900720+5 2.970000-4 5.677872+5 3.015000-4 6.643800+5 3.054921-4 7.568638+5 3.090295-4 8.427852+5 3.130000-4 9.420560+5 3.165000-4 1.030784+6 3.200000-4 1.119648+6 3.240000-4 1.220392+6 3.280000-4 1.319480+6 3.320000-4 1.416432+6 3.370000-4 1.534152+6 3.410000-4 1.625240+6 3.470000-4 1.756144+6 3.515000-4 1.849240+6 3.550000-4 1.918248+6 3.600000-4 2.011088+6 3.650000-4 2.096528+6 3.715352-4 2.196195+6 3.780000-4 2.281048+6 3.850000-4 2.357992+6 3.930000-4 2.428680+6 4.000000-4 2.477496+6 4.100000-4 2.529896+6 4.216965-4 2.570317+6 4.343400-4 2.592994+6 4.470000-4 2.596320+6 4.600000-4 2.581776+6 4.731513-4 2.551883+6 4.897788-4 2.498333+6 5.080000-4 2.427488+6 5.308844-4 2.326822+6 5.559043-4 2.209484+6 5.821032-4 2.082310+6 6.100000-4 1.945200+6 6.456542-4 1.775349+6 6.850000-4 1.602088+6 7.244360-4 1.443546+6 7.673615-4 1.286701+6 8.222426-4 1.112547+6 8.709636-4 9.795277+5 9.332543-4 8.345267+5 1.000000-3 7.064216+5 1.071519-3 5.941438+5 1.161449-3 4.817855+5 1.258925-3 3.880234+5 1.364583-3 3.102103+5 1.479108-3 2.466025+5 1.621810-3 1.882111+5 1.778279-3 1.426810+5 1.972423-3 1.035576+5 2.150000-3 7.881104+4 2.371374-3 5.739599+4 2.660725-3 3.916704+4 2.917427-3 2.864816+4 3.198895-3 2.084275+4 3.589219-3 1.388887+4 4.027170-3 9.175864+3 4.518559-3 6.011411+3 5.069907-3 3.906118+3 5.688529-3 2.517659+3 6.382635-3 1.610376+3 7.079458-3 1.070122+3 8.035261-3 6.443151+2 9.015711-3 4.033354+2 1.023293-2 2.390016+2 1.161449-2 1.405588+2 1.318257-2 8.206309+1 1.500000-2 4.706055+1 1.717908-2 2.604616+1 1.972423-2 1.415406+1 2.290868-2 7.254126+0 2.600160-2 4.094415+0 3.054921-2 1.961838+0 3.672823-2 8.397142-1 4.677351-2 2.732939-1 8.413951-2 1.771853-2 1.148154-1 4.197138-3 1.318257-1 2.227244-3 1.500000-1 1.240489-3 1.678804-1 7.502728-4 1.883649-1 4.519546-4 2.113489-1 2.742883-4 2.344229-1 1.762646-4 2.570396-1 1.198327-4 2.786121-1 8.607333-5 3.019952-1 6.221807-5 3.273407-1 4.525394-5 3.589219-1 3.166748-5 3.890451-1 2.332754-5 4.216965-1 1.731666-5 4.550800-1 1.316848-5 4.897788-1 1.020360-5 5.754399-1 5.903678-6 6.237348-1 4.517673-6 6.683439-1 3.614830-6 7.079458-1 3.019134-6 7.498942-1 2.537218-6 7.943282-1 2.148303-6 8.413951-1 1.832669-6 8.912509-1 1.575678-6 9.332543-1 1.404868-6 9.772372-1 1.260142-6 1.023293+0 1.137649-6 1.083927+0 1.007496-6 1.161449+0 8.770893-7 1.258925+0 7.522851-7 1.380384+0 6.366596-7 1.840772+0 3.838037-7 2.113489+0 3.030977-7 2.371374+0 2.508134-7 2.691535+0 2.051726-7 3.162278+0 1.603181-7 3.672823+0 1.284325-7 4.265795+0 1.036363-7 5.011872+0 8.287113-8 5.956621+0 6.571932-8 7.161434+0 5.173978-8 8.609938+0 4.103554-8 1.059254+1 3.186470-8 1.303167+1 2.493129-8 1.603245+1 1.962863-8 2.065380+1 1.475446-8 2.754229+1 1.075353-8 3.845918+1 7.511762-9 5.754399+1 4.915807-9 9.885531+1 2.809014-9 1.972423+2 1.390222-9 3.935501+2 6.92216-10 1.566751+3 1.73060-10 1.000000+5 2.70630-12 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 2.338700-4 1.256800-4 1.000000+5 1.256800-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 2.338700-4 5.750400-8 1.000000+5 5.750400-8 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 2.338700-4 1.081325-4 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 2.116900-4 4.650520+4 2.123000-4 4.715740+4 2.131000-4 4.845020+4 2.142000-4 4.997340+4 2.155000-4 5.150860+4 2.170000-4 5.297140+4 2.190000-4 5.454640+4 2.210000-4 5.577540+4 2.230000-4 5.669960+4 2.253000-4 5.746160+4 2.280000-4 5.802920+4 2.317395-4 5.835931+4 2.350000-4 5.832600+4 2.400000-4 5.790099+4 2.722701-4 5.464501+4 3.126079-4 5.104923+4 3.311311-4 4.927890+4 3.758374-4 4.511221+4 4.073803-4 4.240572+4 4.365158-4 3.994654+4 4.850000-4 3.614860+4 5.370318-4 3.260235+4 5.888437-4 2.946865+4 6.700000-4 2.535080+4 7.413102-4 2.238729+4 8.511380-4 1.873595+4 9.700000-4 1.571020+4 1.135011-3 1.261386+4 1.350000-3 9.813540+3 1.621810-3 7.461283+3 1.949845-3 5.624623+3 2.371374-3 4.134047+3 2.884032-3 3.014956+3 3.467369-3 2.223943+3 4.168694-3 1.628489+3 5.011872-3 1.183615+3 6.025596-3 8.538450+2 7.328245-3 5.987690+2 8.912509-3 4.165624+2 1.083927-2 2.874675+2 1.318257-2 1.968132+2 1.584893-2 1.367764+2 1.905461-2 9.436636+1 2.290868-2 6.461818+1 2.754229-2 4.390890+1 3.311311-2 2.960328+1 3.981072-2 1.980038+1 4.731513-2 1.348228+1 5.623413-2 9.115367+0 6.760830-2 5.958958+0 8.128305-2 3.865860+0 1.011580-1 2.294436+0 1.273503-1 1.309693+0 1.862087-1 5.137263-1 2.691535-1 2.068340-1 3.311311-1 1.248008-1 3.935501-1 8.249437-2 4.570882-1 5.804425-2 5.308844-1 4.114148-2 6.095369-1 3.016537-2 6.998420-1 2.229784-2 8.035261-1 1.661321-2 9.015711-1 1.307333-2 1.000000+0 1.060502-2 1.202264+0 7.385310-3 1.333521+0 6.062228-3 1.500000+0 4.878300-3 1.698244+0 3.911263-3 1.995262+0 2.961242-3 2.238721+0 2.441570-3 2.540973+0 1.990493-3 2.917427+0 1.605898-3 3.388442+0 1.281484-3 3.935501+0 1.030110-3 4.623810+0 8.206429-4 5.495409+0 6.484411-4 6.531306+0 5.163404-4 7.852356+0 4.080292-4 9.660509+0 3.157313-4 1.188502+1 2.462242-4 1.531087+1 1.833318-4 2.000000+1 1.355400-4 2.660725+1 9.896055-5 3.715352+1 6.907260-5 5.495409+1 4.571672-5 9.120108+1 2.704877-5 1.603245+2 1.520552-5 3.198895+2 7.559620-6 1.273503+3 1.887923-6 4.027170+4 5.956975-8 1.000000+5 2.398700-8 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 2.116900-4 1.461700-4 1.000000+5 1.461700-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 2.116900-4 1.806700-9 1.000000+5 1.806700-9 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 2.116900-4 6.551819-5 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 1.622900-4 3.440840+5 1.626000-4 3.541160+5 1.629000-4 3.622500+5 1.632000-4 3.687120+5 1.635000-4 3.737440+5 1.639000-4 3.781540+5 1.643000-4 3.806680+5 1.648500-4 3.812500+5 1.655000-4 3.790960+5 1.662000-4 3.744580+5 1.670000-4 3.673120+5 1.757924-4 2.852811+5 1.790000-4 2.627900+5 1.820000-4 2.450420+5 1.865000-4 2.226140+5 1.930000-4 1.962412+5 2.018366-4 1.678029+5 2.137962-4 1.382346+5 2.264644-4 1.146838+5 2.400000-4 9.572700+4 2.540973-4 8.077074+4 2.660725-4 7.088460+4 2.770000-4 6.361880+4 2.884032-4 5.746355+4 3.000000-4 5.238740+4 3.126079-4 4.791157+4 3.273407-4 4.370416+4 3.430000-4 4.011000+4 3.600000-4 3.695600+4 3.780000-4 3.425760+4 3.981072-4 3.183777+4 4.216965-4 2.958679+4 4.500000-4 2.745860+4 4.897788-4 2.512882+4 5.432503-4 2.273325+4 7.500000-4 1.695066+4 8.709636-4 1.470159+4 1.000000-3 1.279150+4 1.135011-3 1.117839+4 1.300000-3 9.601140+3 1.479108-3 8.245597+3 1.678804-3 7.051869+3 1.927525-3 5.899761+3 2.220000-3 4.873860+3 2.540973-3 4.027772+3 2.917427-3 3.286493+3 3.311311-3 2.706899+3 3.758374-3 2.213205+3 4.216965-3 1.831281+3 4.786301-3 1.476536+3 5.432503-3 1.181556+3 6.165950-3 9.388715+2 7.000000-3 7.403880+2 8.000000-3 5.721480+2 9.120108-3 4.410117+2 1.035142-2 3.404435+2 1.174898-2 2.610283+2 1.348963-2 1.938682+2 1.548817-2 1.428487+2 1.778279-2 1.044322+2 2.041738-2 7.576036+1 2.344229-2 5.454020+1 2.691535-2 3.897749+1 3.090295-2 2.765897+1 3.589219-2 1.892800+1 4.168694-2 1.285838+1 4.897788-2 8.414746+0 5.821032-2 5.298968+0 7.000000-2 3.207240+0 9.015711-2 1.594622+0 1.083927-1 9.537243-1 1.972423-1 1.768410-1 2.426610-1 9.926998-2 2.884032-1 6.176616-2 3.349654-1 4.121722-2 3.845918-1 2.856362-2 4.415705-1 1.994181-2 5.011872-1 1.445105-2 5.623413-1 1.085575-2 6.309573-1 8.212287-3 7.079458-1 6.259335-3 7.852356-1 4.935209-3 8.709636-1 3.912148-3 9.440609-1 3.284801-3 1.023293+0 2.776412-3 1.122018+0 2.307851-3 1.244515+0 1.888888-3 1.396368+0 1.524458-3 1.621810+0 1.164688-3 1.883649+0 8.969753-4 2.137962+0 7.233518-4 2.398833+0 5.990014-4 2.722701+0 4.903109-4 3.198895+0 3.833333-4 3.715352+0 3.072671-4 4.315191+0 2.480770-4 5.069907+0 1.984742-4 6.025596+0 1.574743-4 7.244360+0 1.240431-4 8.709636+0 9.842232-5 1.071519+1 7.645747-5 1.318257+1 5.984819-5 1.621810+1 4.713026-5 2.065380+1 3.589493-5 2.754229+1 2.616274-5 3.801894+1 1.849969-5 5.754399+1 1.195906-5 9.885531+1 6.833822-6 1.972423+2 3.382150-6 3.935501+2 1.684032-6 1.566751+3 4.210290-7 1.000000+5 6.584000-9 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 1.622900-4 1.048100-4 1.000000+5 1.048100-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.622900-4 5.034200-9 1.000000+5 5.034200-9 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.622900-4 5.747497-5 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 1.283700-4 6.598880+5 1.288500-4 6.666640+5 1.297000-4 6.723720+5 1.304000-4 6.729600+5 1.314000-4 6.689480+5 1.325000-4 6.606360+5 1.340000-4 6.456240+5 1.380384-4 6.015670+5 1.412538-4 5.646908+5 1.490000-4 4.857480+5 1.548817-4 4.381367+5 1.603245-4 4.021358+5 1.659587-4 3.717022+5 1.720000-4 3.452716+5 1.780000-4 3.239016+5 1.850000-4 3.034656+5 1.950000-4 2.799620+5 2.089296-4 2.541416+5 2.238721-4 2.322284+5 2.400000-4 2.135356+5 2.580000-4 1.971968+5 2.884032-4 1.762108+5 3.758374-4 1.354849+5 4.315191-4 1.173916+5 4.897788-4 1.022641+5 5.559043-4 8.842500+4 6.309573-4 7.592894+4 7.161434-4 6.473637+4 8.222426-4 5.398605+4 9.366400-4 4.516593+4 1.071519-3 3.732967+4 1.244515-3 2.996105+4 1.450000-3 2.374916+4 1.678804-3 1.886602+4 1.950000-3 1.480172+4 2.238721-3 1.175464+4 2.570396-3 9.272426+3 2.985383-3 7.115313+3 3.467369-3 5.412897+3 4.027170-3 4.081736+3 4.570882-3 3.191799+3 5.248075-3 2.421807+3 6.025596-3 1.823307+3 6.918310-3 1.362004+3 7.943282-3 1.009504+3 9.120108-3 7.421564+2 1.035142-2 5.559234+2 1.174898-2 4.136116+2 1.348963-2 2.972825+2 1.548817-2 2.119835+2 1.778279-2 1.499749+2 2.041738-2 1.052853+2 2.344229-2 7.333834+1 2.691535-2 5.070152+1 3.090295-2 3.479455+1 3.548134-2 2.370735+1 4.120975-2 1.552674+1 4.786301-2 1.009334+1 5.623413-2 6.298586+0 6.531306-2 4.036084+0 7.852356-2 2.314918+0 9.772372-2 1.186442+0 1.445440-1 3.540481-1 1.927525-1 1.457881-1 2.344229-1 8.021331-2 2.754229-1 4.939433-2 3.162278-1 3.283245-2 3.589219-1 2.273827-2 4.073803-1 1.586642-2 4.570882-1 1.152334-2 5.128614-1 8.432767-3 5.688529-1 6.411462-3 6.309573-1 4.908534-3 6.998420-1 3.785091-3 7.762471-1 2.940318-3 8.709636-1 2.232038-3 9.332543-1 1.904364-3 9.885531-1 1.678348-3 1.071519+0 1.419433-3 1.161449+0 1.208580-3 1.258925+0 1.035374-3 1.396368+0 8.559914-4 1.717908+0 5.922967-4 2.000000+0 4.554400-4 2.238721+0 3.771089-4 2.540973+0 3.074434-4 2.917427+0 2.480127-4 3.388442+0 1.979039-4 3.935501+0 1.590817-4 4.623810+0 1.267328-4 5.495409+0 1.001384-4 6.531306+0 7.973768-5 7.852356+0 6.301074-5 9.549926+0 4.944727-5 1.174898+1 3.854411-5 1.513561+1 2.868735-5 1.972423+1 2.125898-5 2.630268+1 1.547457-5 3.672823+1 1.079829-5 5.432503+1 7.145456-6 8.912509+1 4.277200-6 1.513561+2 2.489707-6 3.019952+2 1.237201-6 6.025596+2 6.175446-7 4.786301+3 7.743885-8 1.000000+5 3.704200-9 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 1.283700-4 1.032200-4 1.000000+5 1.032200-4 1 86000 7 7 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.283700-4 8.73730-10 1.000000+5 8.73730-10 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.283700-4 2.514913-5 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 5.649000-5 1.002936+6 5.680000-5 1.072476+6 5.700000-5 1.124128+6 5.720000-5 1.182732+6 5.740000-5 1.248408+6 5.770000-5 1.363876+6 5.800000-5 1.500628+6 5.830000-5 1.663804+6 5.860000-5 1.856304+6 5.888437-5 2.070439+6 5.920000-5 2.350604+6 5.956621-5 2.741978+6 5.985000-5 3.102512+6 6.030000-5 3.797752+6 6.070000-5 4.568720+6 6.110000-5 5.515960+6 6.180000-5 7.710160+6 6.220700-5 9.373860+6 6.237348-5 1.019017+7 6.300000-5 1.348010+7 6.309573-5 1.398446+7 6.385000-5 1.622761+7 6.395200-5 1.663434+7 6.490000-5 1.842655+7 6.606934-5 1.938722+7 6.760830-5 1.937048+7 6.950000-5 1.870874+7 7.079458-5 1.804821+7 7.300000-5 1.670461+7 7.330000-5 1.648243+7 7.540000-5 1.476411+7 7.620000-5 1.394519+7 7.800000-5 1.211016+7 7.950000-5 1.087696+7 8.150000-5 9.539880+6 8.423100-5 8.091158+6 9.549926-5 4.408982+6 1.122018-4 2.004794+6 1.380384-4 7.388268+5 1.500000-4 4.914200+5 1.690000-4 2.723672+5 1.778279-4 2.130281+5 1.850000-4 1.772044+5 1.907600-4 1.545341+5 1.950000-4 1.406472+5 2.000000-4 1.268136+5 2.060000-4 1.132400+5 2.113489-4 1.034324+5 2.162719-4 9.598255+4 2.213095-4 8.966681+4 2.264644-4 8.435336+4 2.317395-4 7.992244+4 2.371374-4 7.626651+4 2.430000-4 7.312600+4 2.483133-4 7.089558+4 2.540973-4 6.901328+4 2.600160-4 6.756988+4 2.660725-4 6.650174+4 2.730000-4 6.568480+4 2.818383-4 6.512413+4 2.917427-4 6.496184+4 3.054921-4 6.527108+4 3.235937-4 6.618654+4 3.672823-4 6.863080+4 3.935501-4 6.955148+4 4.200000-4 6.994920+4 4.466836-4 6.986414+4 4.731513-4 6.935963+4 5.011872-4 6.841599+4 5.308844-4 6.707628+4 5.650000-4 6.524640+4 6.025596-4 6.298701+4 6.456542-4 6.022513+4 6.918310-4 5.714570+4 7.413102-4 5.388792+4 8.035261-4 4.992537+4 8.609938-4 4.645666+4 9.332543-4 4.241693+4 1.011579-3 3.845331+4 1.096478-3 3.462161+4 1.202264-3 3.047451+4 1.318257-3 2.660825+4 1.462177-3 2.263306+4 1.603245-3 1.944839+4 1.757924-3 1.659043+4 1.927525-3 1.405703+4 2.113489-3 1.182968+4 2.317395-3 9.888764+3 2.540973-3 8.211553+3 2.786121-3 6.774159+3 3.054921-3 5.552151+3 3.388442-3 4.404806+3 3.758374-3 3.466773+3 4.168694-3 2.707065+3 4.623810-3 2.097580+3 5.128614-3 1.613265+3 5.688529-3 1.231849+3 6.309573-3 9.340794+2 7.000000-3 7.030240+2 7.762471-3 5.261741+2 8.709636-3 3.781444+2 9.772372-3 2.696468+2 1.096478-2 1.908038+2 1.230269-2 1.340147+2 1.380384-2 9.347031+1 1.548817-2 6.474534+1 1.757924-2 4.290251+1 2.000000-2 2.798807+1 2.264644-2 1.840932+1 2.600160-2 1.146551+1 3.000000-2 6.966816+0 3.467369-2 4.175785+0 4.073803-2 2.343677+0 4.841724-2 1.252526+0 5.888437-2 6.106006-1 7.673615-2 2.288987-1 1.288250-1 3.331906-2 1.584893-1 1.551506-2 1.883649-1 8.264017-3 2.213095-1 4.622648-3 2.511886-1 2.947927-3 2.818383-1 1.971162-3 3.090295-1 1.436274-3 3.467369-1 9.741832-4 3.890451-1 6.656256-4 4.365158-1 4.579275-4 4.841724-1 3.293146-4 5.370318-1 2.386353-4 5.888437-1 1.804435-4 6.456542-1 1.373008-4 7.079458-1 1.052139-4 7.673615-1 8.389399-5 8.609938-1 6.103917-5 9.120108-1 5.242411-5 9.549926-1 4.669812-5 1.000000+0 4.186700-5 1.059254+0 3.686428-5 1.122018+0 3.270689-5 1.188502+0 2.920545-5 1.273503+0 2.566826-5 1.396368+0 2.178714-5 1.531087+0 1.857172-5 1.862087+0 1.316598-5 2.113489+0 1.060554-5 2.371374+0 8.776253-6 2.691535+0 7.179374-6 3.162278+0 5.609842-6 3.672823+0 4.493994-6 4.265795+0 3.626332-6 5.011872+0 2.899792-6 5.956621+0 2.299616-6 7.161434+0 1.810456-6 8.609938+0 1.435945-6 1.059254+1 1.115001-6 1.303167+1 8.723951-7 1.603245+1 6.868121-7 2.065380+1 5.162702-7 2.754229+1 3.762892-7 3.845918+1 2.628499-7 5.821032+1 1.699519-7 1.000000+2 9.713500-8 1.995262+2 4.808140-8 3.981072+2 2.394204-8 1.584893+3 5.986100-9 1.000000+5 9.46960-11 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 5.649000-5 5.649000-5 1.000000+5 5.649000-5 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 5.649000-5 0.0 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 5.184000-5 1.788342+6 5.217000-5 1.898562+6 5.240000-5 1.988910+6 5.267000-5 2.114466+6 5.290000-5 2.239038+6 5.317000-5 2.409264+6 5.340000-5 2.576592+6 5.370000-5 2.831130+6 5.400000-5 3.132000+6 5.432503-5 3.518462+6 5.460000-5 3.902034+6 5.495409-5 4.485368+6 5.535000-5 5.278272+6 5.570000-5 6.126300+6 5.615000-5 7.461600+6 5.670000-5 9.552780+6 5.750000-5 1.375926+7 5.754399-5 1.410275+7 5.770000-5 1.507763+7 5.800000-5 1.719455+7 5.821032-5 1.891992+7 5.870000-5 2.253861+7 5.910000-5 2.579298+7 5.920000-5 2.662062+7 5.970000-5 2.976413+7 6.030000-5 3.103244+7 6.040000-5 3.146923+7 6.190000-5 3.311246+7 6.360000-5 3.399132+7 6.540000-5 3.303921+7 6.690000-5 3.146844+7 6.730000-5 3.069653+7 6.850000-5 2.804895+7 6.970000-5 2.579273+7 7.000000-5 2.513724+7 7.110000-5 2.261808+7 7.230000-5 2.035476+7 7.350000-5 1.847154+7 7.500000-5 1.651278+7 7.673615-5 1.464442+7 7.943282-5 1.232348+7 9.015711-5 6.674151+6 1.135011-4 2.139164+6 1.333521-4 9.676857+5 1.548817-4 4.597500+5 1.621810-4 3.673179+5 1.690000-4 3.024402+5 1.740000-4 2.649534+5 1.798871-4 2.294478+5 1.850000-4 2.047302+5 1.900000-4 1.850118+5 1.950000-4 1.689132+5 1.995262-4 1.569320+5 2.041738-4 1.467719+5 2.089296-4 1.382625+5 2.137962-4 1.312106+5 2.190000-4 1.252098+5 2.240000-4 1.206852+5 2.290868-4 1.171096+5 2.350000-4 1.140102+5 2.400000-4 1.121052+5 2.459800-4 1.105104+5 2.540973-4 1.092579+5 2.630268-4 1.087569+5 2.730000-4 1.089300+5 2.884032-4 1.100787+5 3.388442-4 1.152383+5 3.630781-4 1.167525+5 3.850000-4 1.173102+5 4.100000-4 1.171146+5 4.365158-4 1.160830+5 4.623810-4 1.144390+5 4.897788-4 1.121183+5 5.248075-4 1.085403+5 5.623413-4 1.042887+5 6.025596-4 9.947384+4 6.456542-4 9.423392+4 7.000000-4 8.767860+4 7.500000-4 8.191860+4 8.128305-4 7.515384+4 8.810489-4 6.838391+4 9.549926-4 6.181364+4 1.035142-3 5.551630+4 1.135011-3 4.870146+4 1.244515-3 4.239785+4 1.350000-3 3.726690+4 1.462177-3 3.266678+4 1.603245-3 2.788010+4 1.757924-3 2.362525+4 1.927525-3 1.988166+4 2.137962-3 1.624546+4 2.344229-3 1.348174+4 2.570396-3 1.111522+4 2.818383-3 9.104811+3 3.090295-3 7.410018+3 3.427678-3 5.832594+3 3.801894-3 4.554610+3 4.216965-3 3.528719+3 4.677351-3 2.712904+3 5.188000-3 2.070238+3 5.754399-3 1.568369+3 6.382635-3 1.179547+3 7.161434-3 8.526054+2 8.000000-3 6.191221+2 8.912509-3 4.498110+2 1.000000-2 3.175210+2 1.122018-2 2.223882+2 1.258925-2 1.545812+2 1.412538-2 1.066618+2 1.603245-2 7.034529+1 1.798871-2 4.783517+1 2.018366-2 3.230055+1 2.264644-2 2.164356+1 2.570396-2 1.383169+1 2.951209-2 8.421388+0 3.427678-2 4.885700+0 4.027170-2 2.697105+0 4.786301-2 1.415756+0 5.623413-2 7.700661-1 7.161434-2 3.061300-1 1.230269-1 3.843260-2 1.500000-1 1.809203-2 1.757924-1 9.963393-3 2.018366-1 5.969267-3 2.290868-1 3.758826-3 2.570396-1 2.486827-3 2.851018-1 1.726683-3 3.090295-1 1.307272-3 3.427678-1 9.211136-4 3.801894-1 6.541137-4 4.216965-1 4.680745-4 4.623810-1 3.500360-4 5.069907-1 2.637063-4 5.559043-1 2.002751-4 6.095369-1 1.532943-4 6.606935-1 1.220919-4 7.161434-1 9.785347-5 7.762471-1 7.893970-5 8.609938-1 6.022692-5 9.120108-1 5.214584-5 9.660509-1 4.546679-5 1.011579+0 4.099027-5 1.071519+0 3.625042-5 1.148154+0 3.151629-5 1.230269+0 2.759100-5 1.333521+0 2.379275-5 1.819701+0 1.375896-5 2.089296+0 1.085759-5 2.344229+0 8.978177-6 2.660725+0 7.339817-6 3.090295+0 5.832774-6 3.589219+0 4.667148-6 4.168694+0 3.761953-6 4.897788+0 3.005037-6 5.821032+0 2.380660-6 6.918310+0 1.900324-6 8.317638+0 1.505060-6 1.023293+1 1.167213-6 1.258925+1 9.121439-7 1.584893+1 6.987666-7 2.041738+1 5.251174-7 2.722701+1 3.826178-7 3.801894+1 2.671953-7 5.688529+1 1.748139-7 9.660509+1 1.010636-7 1.862087+2 5.178379-8 3.715352+2 2.577420-8 1.479108+3 6.442015-9 1.000000+5 9.50920-11 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 5.184000-5 5.184000-5 1.000000+5 5.184000-5 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 5.184000-5 0.0 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 2.572000-5 9.063480+5 2.600160-5 8.744993+5 2.660725-5 8.053309+5 2.851018-5 6.206471+5 3.349654-5 3.348871+5 3.589219-5 2.587665+5 3.801894-5 2.102413+5 3.981072-5 1.792214+5 4.168694-5 1.538697+5 4.350000-5 1.346082+5 4.518559-5 1.202445+5 4.677351-5 1.091644+5 4.850000-5 9.925780+4 5.011872-5 9.158894+4 5.188000-5 8.466421+4 5.370318-5 7.873965+4 5.580000-5 7.315700+4 5.800000-5 6.840240+4 6.025596-5 6.443178+4 6.300000-5 6.054140+4 6.606934-5 5.709600+4 6.918310-5 5.430739+4 7.328245-5 5.139173+4 7.852356-5 4.849828+4 8.609938-5 4.530432+4 1.080000-4 3.871440+4 1.202264-4 3.570528+4 1.333521-4 3.278403+4 1.500000-4 2.952820+4 1.800000-4 2.486660+4 2.089296-4 2.146670+4 2.344229-4 1.902292+4 2.630268-4 1.673390+4 3.054921-4 1.404517+4 3.507519-4 1.187328+4 4.073803-4 9.817321+3 4.954502-4 7.597098+3 5.688529-4 6.296181+3 6.760830-4 4.936512+3 8.222426-4 3.713280+3 9.772372-4 2.870887+3 1.216186-3 2.055190+3 1.531087-3 1.434038+3 1.927525-3 9.936899+2 2.426610-3 6.836722+2 3.019952-3 4.757732+2 3.715352-3 3.350329+2 4.518559-3 2.388332+2 5.495409-3 1.689786+2 6.456542-3 1.258753+2 8.035261-3 8.370299+1 1.230269-2 3.735766+1 1.462177-2 2.675386+1 1.698244-2 1.986194+1 2.041738-2 1.365147+1 2.454709-2 9.317629+0 2.951209-2 6.311336+0 3.548134-2 4.241115+0 4.265795-2 2.827599+0 5.069907-2 1.919731+0 6.095369-2 1.260049+0 7.328245-2 8.209545-1 8.609938-2 5.607547-1 1.059254-1 3.407673-1 1.364583-1 1.838244-1 1.678804-1 1.102908-1 2.540973-1 3.956818-2 3.162278-1 2.318100-2 3.801894-1 1.488138-2 4.466836-1 1.017265-2 5.128614-1 7.392599-3 5.888437-1 5.411573-3 6.760830-1 3.992209-3 7.673615-1 3.042076-3 8.810489-1 2.277742-3 9.772372-1 1.845316-3 1.188502+0 1.255303-3 1.318257+0 1.029617-3 1.496236+0 8.145148-4 1.698244+0 6.500215-4 1.972423+0 5.019145-4 2.213095+0 4.136159-4 2.511886+0 3.369702-4 2.884032+0 2.716703-4 3.388442+0 2.129960-4 3.935501+0 1.712110-4 4.623810+0 1.363981-4 5.495409+0 1.077761-4 6.531306+0 8.581886-5 7.852356+0 6.781589-5 9.660509+0 5.247671-5 1.188502+1 4.092262-5 1.531087+1 3.047086-5 2.000000+1 2.252800-5 2.660725+1 1.644731-5 3.715352+1 1.148064-5 5.495409+1 7.598371-6 9.120108+1 4.495573-6 1.603245+2 2.527270-6 3.198895+2 1.256483-6 1.273503+3 3.137844-7 4.027170+4 9.900712-9 1.000000+5 3.986700-9 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 2.572000-5 2.572000-5 1.000000+5 2.572000-5 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 2.572000-5 0.0 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 1.369000-5 3.405260+7 1.392000-5 3.388880+7 1.415000-5 3.352560+7 1.445440-5 3.280727+7 1.480000-5 3.175940+7 1.515000-5 3.049800+7 1.550000-5 2.913840+7 1.590000-5 2.750240+7 1.640590-5 2.540587+7 1.698244-5 2.309954+7 1.757924-5 2.086752+7 1.840772-5 1.808454+7 1.950000-5 1.500288+7 2.426610-5 7.257443+6 2.691535-5 5.179219+6 2.951209-5 3.867092+6 3.273407-5 2.806461+6 3.630781-5 2.052395+6 4.168694-5 1.364644+6 6.165950-5 4.362330+5 8.810489-5 1.528503+5 1.023293-4 9.913146+4 1.161449-4 6.922639+4 1.288250-4 5.194281+4 1.412538-4 4.050036+4 1.540000-4 3.230720+4 1.659587-4 2.674060+4 1.800000-4 2.194520+4 1.927525-4 1.869864+4 2.080000-4 1.575882+4 2.238721-4 1.346344+4 2.400000-4 1.168734+4 2.570396-4 1.024632+4 2.730000-4 9.187940+3 2.917427-4 8.202941+3 3.126079-4 7.340329+3 3.350000-4 6.607540+3 3.630781-4 5.888568+3 3.935501-4 5.285664+3 4.315191-4 4.709755+3 4.841724-4 4.112499+3 8.609938-4 2.149032+3 1.011579-3 1.781556+3 1.188502-3 1.466101+3 1.396368-3 1.197360+3 1.640590-3 9.702363+2 1.905461-3 7.921937+2 2.213095-3 6.419557+2 2.426610-3 5.613689+2 2.786121-3 4.547574+2 3.162278-3 3.723742+2 3.630781-3 2.970680+2 4.216965-3 2.308239+2 5.248075-3 1.584160+2 6.025596-3 1.240306+2 6.843790-3 9.829193+1 7.673615-3 7.920873+1 8.413951-3 6.617840+1 9.549926-3 5.129399+1 1.096478-2 3.854340+1 1.258925-2 2.873443+1 1.445440-2 2.125260+1 1.659587-2 1.559576+1 1.905461-2 1.135674+1 2.187762-2 8.207050+0 2.511886-2 5.887111+0 2.884032-2 4.193002+0 3.349654-2 2.880515+0 3.890451-2 1.963839+0 4.518559-2 1.329248+0 5.308844-2 8.667363-1 6.309573-2 5.439803-1 7.673615-2 3.181518-1 9.660509-2 1.678351-1 1.949845-1 2.328561-2 2.426610-1 1.265781-2 2.884032-1 7.875975-3 3.349654-1 5.255696-3 3.845918-1 3.642165-3 4.415705-1 2.542823-3 5.011872-1 1.842742-3 5.623413-1 1.384339-3 6.309573-1 1.047268-3 7.079458-1 7.982438-4 7.852356-1 6.294396-4 8.709636-1 4.990930-4 9.440609-1 4.191576-4 1.023293+0 3.543534-4 1.122018+0 2.945776-4 1.244515+0 2.410931-4 1.396368+0 1.945676-4 1.621810+0 1.486322-4 1.883649+0 1.144634-4 2.137962+0 9.232284-5 2.426610+0 7.505498-5 2.754229+0 6.147194-5 3.235937+0 4.808474-5 3.758374+0 3.856488-5 4.415704+0 3.065328-5 5.188000+0 2.454919-5 6.165950+0 1.949883-5 7.413102+0 1.537307-5 9.000000+0 1.206300-5 1.109175+1 9.362648-6 1.364583+1 7.337970-6 1.659587+1 5.859269-6 2.137962+1 4.408601-6 2.851018+1 3.216186-6 3.981072+1 2.248284-6 6.095369+1 1.437409-6 1.059254+2 8.125451-7 2.113489+2 4.024850-7 4.216965+2 2.004868-7 1.678804+3 5.013867-8 1.000000+5 8.40270-10 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 1.369000-5 1.369000-5 1.000000+5 1.369000-5 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 1.369000-5 0.0 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 9.640000-6 8.400600+7 9.800000-6 8.250560+7 1.000000-5 8.038640+7 1.035142-5 7.625341+7 1.071519-5 7.164999+7 1.100000-5 6.795800+7 1.135011-5 6.341421+7 1.180000-5 5.775320+7 1.216186-5 5.340928+7 1.270000-5 4.740400+7 1.333521-5 4.109761+7 1.396368-5 3.568511+7 1.479108-5 2.970681+7 1.584893-5 2.366957+7 1.778279-5 1.605691+7 2.162719-5 8.266817+6 2.454709-5 5.418568+6 2.730000-5 3.826208+6 3.054921-5 2.667514+6 3.427678-5 1.857126+6 3.845918-5 1.302359+6 4.315191-5 9.196125+5 4.800000-5 6.712520+5 5.288000-5 5.076752+5 5.754399-5 4.007011+5 6.237348-5 3.221783+5 6.683439-5 2.690918+5 7.161434-5 2.263445+5 7.673615-5 1.918140+5 8.222426-5 1.638078+5 8.810489-5 1.409249+5 9.440609-5 1.221214+5 1.011579-4 1.065600+5 1.083927-4 9.362119+4 1.161449-4 8.279970+4 1.244515-4 7.371749+4 1.333521-4 6.605894+4 1.445440-4 5.858372+4 1.566751-4 5.232810+4 1.737801-4 4.564104+4 1.995262-4 3.839906+4 3.126079-4 2.240806+4 4.120975-4 1.594656+4 5.011872-4 1.246995+4 5.821032-4 1.026153+4 6.683439-4 8.506336+3 8.035261-4 6.567123+3 9.440609-4 5.198275+3 1.096478-3 4.154105+3 1.288250-3 3.238633+3 1.513561-3 2.506478+3 1.778279-3 1.926545+3 2.065380-3 1.498543+3 2.426610-3 1.134293+3 2.851018-3 8.520929+2 3.467369-3 5.973330+2 4.000000-3 4.574489+2 4.518559-3 3.618252+2 5.128614-3 2.811008+2 5.821032-3 2.168646+2 6.683439-3 1.622280+2 7.673615-3 1.204262+2 8.810489-3 8.869865+1 1.011579-2 6.481806+1 1.161449-2 4.699243+1 1.333521-2 3.380063+1 1.531087-2 2.412051+1 1.757924-2 1.707693+1 2.018366-2 1.199609+1 2.317395-2 8.360881+0 2.660725-2 5.783333+0 3.054921-2 3.970995+0 3.507519-2 2.706980+0 4.073803-2 1.773699+0 4.731513-2 1.153312+0 5.559043-2 7.199931-1 6.531306-2 4.461209-1 7.852356-2 2.561224-1 9.772372-2 1.314417-1 1.862087-1 1.797041-2 2.290868-1 9.537752-3 2.691535-1 5.867621-3 3.090295-1 3.896007-3 3.507519-1 2.695227-3 3.981072-1 1.878345-3 4.466836-1 1.362473-3 5.011872-1 9.957299-4 5.559043-1 7.561846-4 6.165950-1 5.782466-4 6.839117-1 4.453867-4 7.585776-1 3.456129-4 8.609938-1 2.553241-4 9.225714-1 2.177478-4 9.772372-1 1.917683-4 1.047129+0 1.659066-4 1.135011+0 1.410303-4 1.244515+0 1.179987-4 1.380384+0 9.744910-5 1.678804+0 6.875494-5 1.949845+0 5.302364-5 2.187762+0 4.366470-5 2.483133+0 3.554739-5 2.851018+0 2.864004-5 3.349654+0 2.244248-5 3.890451+0 1.803000-5 4.570882+0 1.435545-5 5.432503+0 1.133708-5 6.456542+0 9.023008-6 7.762471+0 7.127014-6 9.440609+0 5.590468-6 1.161449+1 4.355952-6 1.496236+1 3.240586-6 1.972423+1 2.369946-6 2.630268+1 1.725104-6 3.672823+1 1.203853-6 5.370318+1 8.062218-7 8.709636+1 4.882709-7 1.462177+2 2.874644-7 2.917427+2 1.428045-7 5.821032+2 7.127076-8 4.623810+3 8.936571-9 1.000000+5 4.12940-10 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 9.640000-6 9.640000-6 1.000000+5 9.640000-6 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 9.640000-6 0.0 1.000000+5 1.000000+5 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 6.860200-7 1.025800+0 1.236350-6 1.026100+0 1.551150-6 1.026600+0 2.186770-6 1.027100+0 2.975140-6 1.027500+0 3.726330-6 1.028100+0 5.073330-6 1.028750+0 6.860200-6 1.029500+0 9.388370-6 1.030100+0 1.180700-5 1.031000+0 1.615600-5 1.032000+0 2.210550-5 1.033200+0 3.096600-5 1.034000+0 3.801370-5 1.035300+0 5.159810-5 1.036640+0 6.860200-5 1.038200+0 9.258060-5 1.039700+0 1.202810-4 1.041500+0 1.600320-4 1.043800+0 2.221300-4 1.046400+0 3.090520-4 1.048300+0 3.847780-4 1.051200+0 5.219440-4 1.054080+0 6.860200-4 1.057700+0 9.350890-4 1.061100+0 1.216320-3 1.065100+0 1.610270-3 1.070400+0 2.246490-3 1.076200+0 3.104640-3 1.080600+0 3.877190-3 1.087100+0 5.223850-3 1.093710+0 6.860200-3 1.102600+0 9.511540-3 1.110700+0 1.240490-2 1.120600+0 1.659390-2 1.133300+0 2.307260-2 1.147500+0 3.185630-2 1.158200+0 3.958930-2 1.174100+0 5.291250-2 1.190110+0 6.860200-2 1.205100+0 8.539420-2 1.227500+0 1.142910-1 1.250000+0 1.477000-1 1.265600+0 1.732480-1 1.294900+0 2.260700-1 1.331800+0 3.005290-1 1.362600+0 3.683950-1 1.397000+0 4.492160-1 1.433800+0 5.404610-1 1.477900+0 6.548440-1 1.500000+0 7.139000-1 1.562500+0 8.856070-1 1.617200+0 1.039730+0 1.712900+0 1.313430+0 1.784700+0 1.519210+0 1.892300+0 1.824970+0 2.000000+0 2.127000+0 2.044000+0 2.249000+0 2.163500+0 2.573460+0 2.372600+0 3.115210+0 2.686300+0 3.868190+0 3.000000+0 4.561000+0 3.500000+0 5.569760+0 4.000000+0 6.485000+0 5.000000+0 8.093000+0 6.000000+0 9.480000+0 7.000000+0 1.070000+1 8.000000+0 1.180000+1 9.000000+0 1.280000+1 1.000000+1 1.373000+1 1.100000+1 1.459000+1 1.200000+1 1.538000+1 1.300000+1 1.613000+1 1.400000+1 1.683000+1 1.500000+1 1.748000+1 1.600000+1 1.809000+1 1.800000+1 1.919000+1 2.000000+1 2.017000+1 2.200000+1 2.106000+1 2.400000+1 2.188000+1 2.600000+1 2.262000+1 2.800000+1 2.330000+1 3.000000+1 2.393000+1 4.000000+1 2.649000+1 5.000000+1 2.840000+1 6.000000+1 2.987000+1 8.000000+1 3.204000+1 1.000000+2 3.357000+1 1.500000+2 3.598000+1 2.000000+2 3.741000+1 3.000000+2 3.908000+1 4.000000+2 4.003000+1 5.000000+2 4.066000+1 6.000000+2 4.111000+1 8.000000+2 4.170000+1 1.000000+3 4.209000+1 1.500000+3 4.264000+1 2.000000+3 4.294000+1 3.000000+3 4.327000+1 4.000000+3 4.345000+1 5.000000+3 4.356000+1 6.000000+3 4.364000+1 8.000000+3 4.374000+1 1.000000+4 4.380000+1 1.500000+4 4.389000+1 2.000000+4 4.394000+1 3.000000+4 4.399000+1 4.000000+4 4.402000+1 5.000000+4 4.403000+1 6.000000+4 4.404000+1 8.000000+4 4.406000+1 1.000000+5 4.407000+1 1 86000 7 8 2.220000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 8.606270-7 2.090400+0 1.168520-6 2.094700+0 1.515160-6 2.099900+0 2.015710-6 2.106600+0 2.804020-6 2.114000+0 3.879710-6 2.119500+0 4.830220-6 2.127900+0 6.550680-6 2.136250+0 8.606270-6 2.147000+0 1.179980-5 2.156900+0 1.532650-5 2.169000+0 2.045420-5 2.184500+0 2.843200-5 2.201800+0 3.933660-5 2.214800+0 4.901030-5 2.234200+0 6.592750-5 2.253680+0 8.606270-5 2.281500+0 1.205460-4 2.307000+0 1.583360-4 2.338200+0 2.128970-4 2.377400+0 2.948360-4 2.410200+0 3.749820-4 2.446800+0 4.769980-4 2.485900+0 6.005670-4 2.532900+0 7.685990-4 2.556430+0 8.606270-4 2.611900+0 1.097400-3 2.660400+0 1.326720-3 2.745300+0 1.775750-3 2.809000+0 2.150550-3 2.904500+0 2.770440-3 3.000000+0 3.458000-3 3.125000+0 4.458580-3 3.234400+0 5.424500-3 3.425800+0 7.303030-3 3.569300+0 8.853790-3 3.784700+0 1.137790-2 4.000000+0 1.409000-2 4.250000+0 1.740440-2 4.625000+0 2.261080-2 5.000000+0 2.802000-2 5.500000+0 3.543910-2 6.000000+0 4.295000-2 6.750000+0 5.411070-2 7.000000+0 5.778000-2 8.000000+0 7.212000-2 9.000000+0 8.580000-2 1.000000+1 9.877000-2 1.100000+1 1.110000-1 1.200000+1 1.225000-1 1.300000+1 1.334000-1 1.400000+1 1.436000-1 1.500000+1 1.534000-1 1.600000+1 1.626000-1 1.800000+1 1.796000-1 2.000000+1 1.950000-1 2.200000+1 2.091000-1 2.400000+1 2.219000-1 2.600000+1 2.338000-1 2.800000+1 2.448000-1 3.000000+1 2.549000-1 4.000000+1 2.967000-1 5.000000+1 3.281000-1 6.000000+1 3.528000-1 8.000000+1 3.896000-1 1.000000+2 4.161000-1 1.500000+2 4.594000-1 2.000000+2 4.862000-1 3.000000+2 5.187000-1 4.000000+2 5.380000-1 5.000000+2 5.511000-1 6.000000+2 5.606000-1 8.000000+2 5.737000-1 1.000000+3 5.824000-1 1.500000+3 5.951000-1 2.000000+3 6.024000-1 3.000000+3 6.101000-1 4.000000+3 6.147000-1 5.000000+3 6.175000-1 6.000000+3 6.195000-1 8.000000+3 6.221000-1 1.000000+4 6.237000-1 1.500000+4 6.259000-1 2.000000+4 6.272000-1 3.000000+4 6.284000-1 4.000000+4 6.292000-1 5.000000+4 6.297000-1 6.000000+4 6.300000-1 8.000000+4 6.303000-1 1.000000+5 6.306000-1 1 86000 7 8 2.220000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 86000 7 9 2.220000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 8.600000+1 1.000000+5 8.600000+1 5.000000+5 8.598400+1 1.000000+6 8.594000+1 1.500000+6 8.586600+1 2.000000+6 8.576200+1 2.500000+6 8.563000+1 3.000000+6 8.546900+1 3.750000+6 8.517120+1 4.000000+6 8.506800+1 4.750000+6 8.469480+1 5.000000+6 8.456700+1 5.500000+6 8.428130+1 6.250000+6 8.380510+1 6.500000+6 8.364220+1 7.000000+6 8.329800+1 7.875000+6 8.265090+1 8.625000+6 8.205440+1 9.000000+6 8.175300+1 1.000000+7 8.090400+1 1.109400+7 7.993510+1 1.187500+7 7.922260+1 1.250000+7 7.864900+1 1.375000+7 7.747880+1 1.500000+7 7.631400+1 1.687500+7 7.456930+1 1.750000+7 7.400300+1 1.937500+7 7.232060+1 2.000000+7 7.177600+1 2.250000+7 6.965690+1 2.375000+7 6.863630+1 2.500000+7 6.764800+1 2.750000+7 6.573560+1 2.875000+7 6.481590+1 3.000000+7 6.391600+1 3.250000+7 6.216020+1 3.500000+7 6.046530+1 4.000000+7 5.722200+1 4.500000+7 5.413780+1 5.000000+7 5.124100+1 5.750000+7 4.725550+1 6.000000+7 4.603100+1 6.750000+7 4.265830+1 7.000000+7 4.163000+1 8.000000+7 3.791100+1 9.000000+7 3.468600+1 9.750000+7 3.249550+1 1.000000+8 3.180100+1 1.062500+8 3.012620+1 1.125000+8 2.853930+1 1.156300+8 2.777810+1 1.250000+8 2.561800+1 1.375000+8 2.302160+1 1.500000+8 2.082100+1 1.625000+8 1.900790+1 1.812500+8 1.687830+1 1.875000+8 1.629550+1 1.953100+8 1.564220+1 2.000000+8 1.528500+1 2.125000+8 1.444950+1 2.375000+8 1.312350+1 2.406300+8 1.298000+1 2.500000+8 1.257400+1 2.671900+8 1.188300+1 2.789100+8 1.141050+1 2.875000+8 1.104940+1 2.894500+8 1.096490+1 3.000000+8 1.049000+1 3.125000+8 9.897410+0 3.359400+8 8.880060+0 3.375000+8 8.821370+0 3.453100+8 8.549950+0 3.500000+8 8.404900+0 3.625000+8 8.081750+0 3.859400+8 7.575090+0 4.000000+8 7.255700+0 4.125000+8 6.935850+0 4.234400+8 6.642510+0 4.425800+8 6.134700+0 4.712900+8 5.463880+0 4.750000+8 5.388330+0 4.856400+8 5.188430+0 5.000000+8 4.957400+0 5.179700+8 4.729940+0 5.330100+8 4.577090+0 5.425800+8 4.492610+0 6.000000+8 4.073300+0 6.250000+8 3.897390+0 7.000000+8 3.421800+0 7.500000+8 3.173510+0 7.750000+8 3.049880+0 8.000000+8 2.917300+0 8.250000+8 2.773720+0 1.000000+9 1.908400+0 1.031300+9 1.814470+0 1.060500+9 1.741590+0 1.100900+9 1.659090+0 1.137900+9 1.597860+0 1.183200+9 1.536890+0 1.241300+9 1.474600+0 1.250000+9 1.466510+0 1.278200+9 1.441690+0 1.500000+9 1.290100+0 1.562500+9 1.250910+0 1.671900+9 1.182240+0 1.753900+9 1.131460+0 1.877000+9 1.056970+0 2.000000+9 9.856500-1 2.139200+9 9.091510-1 2.272600+9 8.407340-1 2.443000+9 7.603760-1 2.602800+9 6.921900-1 2.750000+9 6.351180-1 2.752700+9 6.341270-1 2.959000+9 5.628140-1 3.148200+9 5.053940-1 3.379700+9 4.441640-1 3.676800+9 3.780270-1 3.986900+9 3.212670-1 4.348700+9 2.676130-1 4.674400+9 2.284890-1 5.000000+9 1.962300-1 5.375000+9 1.658070-1 5.703100+9 1.439340-1 6.277300+9 1.138020-1 7.031000+9 8.553620-2 8.000000+9 6.131600-2 9.500000+9 3.904800-2 1.00000+10 3.410000-2 1.00000+11 7.524800-5 1.68570+11 1.904600-5 3.34410+11 3.184250-6 8.62510+11 2.743650-7 2.83020+12 1.305030-8 1.00000+14 1.53180-12 3.16230+15 2.28920-16 1.00000+17 3.26420-20 1 86000 7 0 2.220000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 6.40000-12 1.000000+2 6.40000-10 1.000000+3 6.400000-8 1.000000+4 6.400000-6 1.000000+5 6.400000-4 5.000000+5 1.600000-2 1.000000+6 6.400000-2 1.500000+6 1.436000-1 2.000000+6 2.536000-1 2.500000+6 3.928000-1 3.000000+6 5.596000-1 3.750000+6 8.576170-1 4.000000+6 9.688000-1 4.750000+6 1.333740+0 5.000000+6 1.465000+0 5.500000+6 1.739800+0 6.250000+6 2.179110+0 6.500000+6 2.331710+0 7.000000+6 2.644900+0 7.875000+6 3.212720+0 8.625000+6 3.714130+0 9.000000+6 3.968400+0 1.000000+7 4.652000+0 1.109400+7 5.404440+0 1.187500+7 5.941430+0 1.250000+7 6.370600+0 1.375000+7 7.222130+0 1.500000+7 8.065000+0 1.687500+7 9.311030+0 1.750000+7 9.721600+0 1.937500+7 1.093250+1 2.000000+7 1.132900+1 2.250000+7 1.286620+1 2.375000+7 1.360280+1 2.500000+7 1.431700+1 2.750000+7 1.566830+1 2.875000+7 1.630810+1 3.000000+7 1.692900+1 3.250000+7 1.811030+1 3.500000+7 1.923580+1 4.000000+7 2.138200+1 4.500000+7 2.346370+1 5.000000+7 2.550700+1 5.750000+7 2.849770+1 6.000000+7 2.946900+1 6.750000+7 3.226240+1 7.000000+7 3.315300+1 8.000000+7 3.646000+1 9.000000+7 3.935800+1 9.750000+7 4.128060+1 1.000000+8 4.188500+1 1.062500+8 4.331000+1 1.125000+8 4.464850+1 1.156300+8 4.528760+1 1.250000+8 4.711800+1 1.375000+8 4.939580+1 1.500000+8 5.153300+1 1.625000+8 5.354320+1 1.812500+8 5.633670+1 1.875000+8 5.721100+1 1.953100+8 5.826980+1 2.000000+8 5.888400+1 2.125000+8 6.044650+1 2.375000+8 6.326060+1 2.406300+8 6.358800+1 2.500000+8 6.452100+1 2.671900+8 6.608850+1 2.789100+8 6.706450+1 2.875000+8 6.773100+1 2.894500+8 6.787820+1 3.000000+8 6.864600+1 3.125000+8 6.948390+1 3.359400+8 7.088760+1 3.375000+8 7.097210+1 3.453100+8 7.139090+1 3.500000+8 7.163900+1 3.625000+8 7.225770+1 3.859400+8 7.330540+1 4.000000+8 7.388200+1 4.125000+8 7.435190+1 4.234400+8 7.475400+1 4.425800+8 7.539440+1 4.712900+8 7.627640+1 4.750000+8 7.638520+1 4.856400+8 7.667920+1 5.000000+8 7.706700+1 5.179700+8 7.751950+1 5.330100+8 7.787840+1 5.425800+8 7.809700+1 6.000000+8 7.929600+1 6.250000+8 7.974600+1 7.000000+8 8.092800+1 7.500000+8 8.156300+1 7.750000+8 8.184310+1 8.000000+8 8.210200+1 8.250000+8 8.232930+1 1.000000+9 8.351500+1 1.031300+9 8.365970+1 1.060500+9 8.379090+1 1.100900+9 8.394840+1 1.137900+9 8.407700+1 1.183200+9 8.421970+1 1.241300+9 8.438160+1 1.250000+9 8.440310+1 1.278200+9 8.447160+1 1.500000+9 8.491000+1 1.562500+9 8.500150+1 1.671900+9 8.515350+1 1.753900+9 8.526030+1 1.877000+9 8.538450+1 2.000000+9 8.550100+1 2.139200+9 8.559930+1 2.272600+9 8.567350+1 2.443000+9 8.575230+1 2.602800+9 8.581280+1 2.750000+9 8.585360+1 2.752700+9 8.585430+1 2.959000+9 8.589630+1 3.148200+9 8.592360+1 3.379700+9 8.595490+1 3.676800+9 8.596910+1 3.986900+9 8.598230+1 4.348700+9 8.599140+1 4.674400+9 8.599330+1 5.000000+9 8.599500+1 5.375000+9 8.599580+1 5.703100+9 8.599640+1 6.277300+9 8.599740+1 7.031000+9 8.599860+1 8.000000+9 8.600000+1 9.500000+9 8.600000+1 1.00000+10 8.600000+1 1.00000+11 8.600000+1 1.68570+11 8.600000+1 3.34410+11 8.600000+1 8.62510+11 8.600000+1 2.83020+12 8.600000+1 1.00000+14 8.600000+1 3.16230+15 8.600000+1 1.00000+17 8.600000+1 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 3.044363-6 0.0 6.172814-6 0.0 6.195604-6 3.182724+0 6.203201-6 4.230175+0 6.218395-6 7.726760+0 6.233588-6 1.302838+1 6.250681-6 2.138347+1 6.277300-6 3.747248+1 6.295312-6 4.769946+1 6.310951-6 5.368875+1 6.325793-6 5.565205+1 6.342403-6 5.277104+1 6.358257-6 4.601664+1 6.383655-6 3.087382+1 6.400718-6 2.077163+1 6.415912-6 1.340944+1 6.431105-6 7.991067+0 6.446299-6 4.395951+0 6.465291-6 1.675219+0 6.476686-6 0.0 7.188104-6 0.0 7.205797-6 3.651065-6 7.223489-6 7.224452-6 7.241182-6 1.319605-5 7.258874-6 2.225036-5 7.276567-6 3.463250-5 7.294260-6 4.976047-5 7.311952-6 6.599926-5 7.329645-6 8.080673-5 7.347337-6 9.177552-5 7.365030-6 9.783250-5 7.382723-6 9.661402-5 7.400415-6 9.014334-5 7.435800-6 7.207233-5 7.453493-6 6.561366-5 7.471186-6 6.237225-5 7.506571-6 6.145148-5 7.524340-6 6.003540-5 7.560491-6 4.815434-5 7.578566-6 3.951969-5 7.614717-6 2.093784-5 7.632792-6 1.351674-5 7.650867-6 8.055009-6 7.668942-6 4.431126-6 7.687018-6 2.250175-6 7.705093-6 0.0 7.847416-6 0.0 7.860572-6 2.609123-1 7.886047-6 4.880099+0 7.899268-6 7.415676+0 7.918615-6 1.341384+1 7.937963-6 2.241209+1 7.958893-6 3.581705+1 8.016564-6 8.040775+1 8.036478-6 9.051219+1 8.056218-6 9.409647+1 8.076656-6 9.037189+1 8.094506-6 8.202585+1 8.156463-6 3.965545+1 8.172567-6 3.045005+1 8.189576-6 2.246988+1 8.209202-6 1.559065+1 8.247528-6 5.474697+0 8.268081-6 3.771530+0 8.287707-6 2.434768+0 8.307334-6 1.450948+0 8.326960-6 7.981783-1 8.346586-6 4.053238-1 8.366212-6 0.0 8.526491-6 0.0 8.534504-6 6.766853-2 8.576517-6 3.348606+0 8.597524-6 6.092813+0 8.619843-6 1.071402+1 8.641653-6 1.683097+1 8.703870-6 3.812114+1 8.725790-6 4.322270+1 8.745672-6 4.519007+1 8.768977-6 4.343909+1 8.790358-6 3.873214+1 8.825149-6 2.740321+1 8.851690-6 1.835166+1 8.872670-6 1.314829+1 8.892202-6 9.565263+0 8.914136-6 7.642342+0 8.939215-6 7.599590+0 8.954973-6 8.292619+0 8.968820-6 1.035709+1 9.033852-6 2.103757+1 9.051696-6 2.326421+1 9.070234-6 2.453844+1 9.094703-6 2.440819+1 9.174095-6 1.940842+1 9.205681-6 1.892717+1 9.284441-6 1.986511+1 9.381937-6 2.017989+1 9.477135-6 1.943034+1 9.522275-6 1.885727+1 9.563003-6 1.763541+1 9.691158-6 1.310845+1 9.746150-6 1.201813+1 9.820522-6 1.154201+1 1.015251-5 1.150163+1 1.020658-5 1.275104+1 1.023256-5 1.383340+1 1.025988-5 1.552358+1 1.030366-5 1.925930+1 1.034941-5 2.338259+1 1.037731-5 2.493090+1 1.039936-5 2.536240+1 1.042727-5 2.457838+1 1.045634-5 2.256711+1 1.052269-5 1.640705+1 1.054767-5 1.451781+1 1.057265-5 1.312141+1 1.060387-5 1.204451+1 1.065161-5 1.102301+1 1.182456-5 9.799380+0 1.188289-5 1.213715+1 1.191172-5 1.408741+1 1.194082-5 1.706842+1 1.197076-5 2.134971+1 1.205722-5 3.656766+1 1.208921-5 4.035823+1 1.211926-5 4.166202+1 1.214867-5 4.054240+1 1.218057-5 3.690238+1 1.225550-5 2.441462+1 1.228820-5 1.942520+1 1.232094-5 1.565151+1 1.234640-5 1.342908+1 1.240646-5 9.915438+0 1.248102-5 9.120992+0 1.250390-5 9.042149+0 1.256515-5 1.005889+1 1.259857-5 1.122147+1 1.263304-5 1.308707+1 1.266675-5 1.560152+1 1.275229-5 2.296515+1 1.278533-5 2.479353+1 1.281572-5 2.537635+1 1.284570-5 2.491186+1 1.288227-5 2.304794+1 1.294716-5 1.867562+1 1.299403-5 1.672068+1 1.303685-5 1.673076+1 1.317189-5 1.938656+1 1.330896-5 1.919400+1 1.352628-5 1.880114+1 1.361478-5 1.798676+1 1.385487-5 1.455598+1 1.398618-5 1.388116+1 1.843596-5 8.500172+0 2.042303-5 6.699018+0 2.226567-5 5.471736+0 2.311242-5 5.016938+0 2.328308-5 5.284913+0 2.339686-5 5.800147+0 2.357851-5 6.990377+0 2.362939-5 7.200463+0 2.370209-5 7.221316+0 2.376042-5 7.029670+0 2.388796-5 6.156603+0 2.402312-5 5.189166+0 2.413641-5 4.735793+0 2.425018-5 4.543414+0 2.443166-5 4.690129+0 2.467629-5 5.072144+0 2.480773-5 5.058773+0 2.514162-5 4.736461+0 2.566428-5 4.495692+0 2.617074-5 4.106284+0 2.851018-5 3.373347+0 3.084325-5 2.835538+0 3.364940-5 2.350511+0 3.659880-5 1.971965+0 4.039142-5 1.614570+0 4.485551-5 1.313464+0 4.844821-5 1.133390+0 4.868671-5 1.365787+0 4.880596-5 1.561281+0 4.894011-5 1.911630+0 4.905766-5 2.328562+0 4.940220-5 3.808134+0 4.953636-5 4.196664+0 4.965577-5 4.335458+0 4.978149-5 4.221523+0 5.008383-5 3.396915+0 5.023683-5 3.004935+0 5.037596-5 2.806400+0 5.054157-5 2.797204+0 5.105086-5 3.024892+0 5.130461-5 2.957342+0 5.198051-5 2.538880+0 5.231503-5 2.487491+0 5.275606-5 2.611245+0 5.291477-5 2.681674+0 5.317700-5 2.945801+0 5.343574-5 3.367221+0 5.372347-5 4.132932+0 5.407569-5 5.151485+0 5.423347-5 5.463198+0 5.443676-5 5.579137+0 5.493145-5 5.580834+0 5.517798-5 5.891789+0 5.597463-5 7.738731+0 5.654477-5 9.312938+0 5.703926-5 1.117308+1 5.765646-5 1.437802+1 5.873322-5 2.162485+1 5.957461-5 2.725404+1 6.058750-5 3.187602+1 6.236826-5 3.961382+1 6.374362-5 4.578647+1 6.540000-5 4.898445+1 6.721662-5 4.872581+1 7.084607-5 4.236571+1 7.772149-5 2.960486+1 8.070027-5 2.529921+1 8.448702-5 2.116802+1 8.893291-5 1.743301+1 9.507370-5 1.351854+1 1.001148-4 1.109054+1 1.058705-4 8.958845+0 1.127758-4 7.051217+0 1.199258-4 5.607630+0 1.220675-4 5.251599+0 1.229916-4 5.433996+0 1.235934-4 5.859838+0 1.247543-4 7.089696+0 1.251037-4 7.240951+0 1.254406-4 7.217857+0 1.268350-4 6.453224+0 1.299897-4 5.454837+0 1.401151-4 4.323869+0 1.490000-4 3.569029+0 1.553385-4 3.148052+0 1.569406-4 3.212494+0 1.593040-4 3.752700+0 1.615071-4 3.857147+0 1.662797-4 3.482749+0 1.785963-4 2.877285+0 1.907600-4 2.498308+0 2.049007-4 2.221610+0 2.079154-4 2.245421+0 2.110193-4 2.338366+0 2.171788-4 2.230333+0 2.278622-4 2.181808+0 2.301298-4 2.277512+0 2.334330-4 2.566840+0 2.374370-4 2.812165+0 2.414111-4 3.101556+0 2.470000-4 3.111191+0 2.570396-4 3.033778+0 2.648996-4 3.149864+0 2.736020-4 3.502523+0 2.804044-4 3.961910+0 2.884032-4 4.726669+0 2.949949-4 5.564713+0 3.034895-4 6.937003+0 3.180533-4 9.921430+0 3.650000-4 2.063935+1 3.936600-4 2.573497+1 4.223038-4 2.917378+1 4.623810-4 3.209490+1 5.245418-4 3.392106+1 5.406936-4 3.547206+1 5.772218-4 3.719749+1 6.634083-4 3.653151+1 7.683958-4 3.451492+1 7.882595-4 3.569771+1 9.326433-4 3.215568+1 1.069214-3 2.929526+1 1.382400-3 2.328880+1 1.642657-3 1.944338+1 1.973991-3 1.583327+1 2.368664-3 1.276396+1 2.806000-3 1.035508+1 2.835669-3 1.042719+1 2.849491-3 1.097016+1 2.859493-3 1.190498+1 2.869958-3 1.355720+1 2.885685-3 1.720468+1 2.907681-3 2.243585+1 2.922488-3 2.450136+1 2.945484-3 2.545296+1 2.983116-3 2.566853+1 3.004893-3 2.729260+1 3.041815-3 3.208908+1 3.065694-3 3.342979+1 3.469430-3 2.833261+1 3.518053-3 2.985268+1 3.567662-3 3.110483+1 4.106541-3 2.567422+1 4.212332-3 2.601777+1 4.419897-3 2.460538+1 4.551190-3 2.434588+1 5.263202-3 1.980140+1 6.139387-3 1.581159+1 6.962416-3 1.309341+1 8.000000-3 1.061075+1 9.036820-3 8.795725+0 1.035132-2 7.117577+0 1.171521-2 5.859063+0 1.328941-2 4.793569+0 1.428112-2 4.288592+0 1.438704-2 4.397939+0 1.444417-2 4.662892+0 1.450119-2 5.190689+0 1.455976-2 6.038168+0 1.470229-2 8.502947+0 1.477939-2 9.322228+0 1.488671-2 9.704230+0 1.705269-2 7.827618+0 1.720672-2 7.981941+0 1.733773-2 8.635081+0 1.754568-2 9.950043+0 1.770599-2 1.023703+1 1.795488-2 1.049065+1 1.819067-2 1.112065+1 1.850187-2 1.108053+1 2.127471-2 8.933891+0 2.436633-2 7.215107+0 2.778332-2 5.843010+0 3.147345-2 4.763842+0 3.577616-2 3.859872+0 3.998510-2 3.206075+0 4.537654-2 2.592728+0 5.121238-2 2.111681+0 5.751165-2 1.732407+0 6.477482-2 1.413467+0 7.305027-2 1.148511+0 8.213014-2 9.377915-1 9.339742-2 7.502881-1 9.656896-2 7.167337-1 9.704223-2 7.454846-1 9.733765-2 7.984637-1 9.758917-2 8.807566-1 9.786032-2 1.020598+0 9.817968-2 1.262640+0 9.864813-2 1.739464+0 9.920092-2 2.329950+0 9.965815-2 2.689297+0 1.001159-1 2.884720+0 1.007985-1 2.965451+0 1.205735-1 2.257663+0 1.352401-1 1.880500+0 1.545666-1 1.517369+0 1.743396-1 1.248564+0 1.957470-1 1.035651+0 2.203293-1 8.557787-1 2.472881-1 7.112035-1 2.792303-1 5.874564-1 3.130581-1 4.922210-1 3.556611-1 4.057723-1 4.025360-1 3.382613-1 4.548735-1 2.843782-1 5.143396-1 2.406037-1 5.837810-1 2.039777-1 6.625978-1 1.744177-1 7.762471-1 1.450060-1 8.970223-1 1.236710-1 1.120601+0 9.754947-2 1.286622+0 8.339772-2 1.477239+0 7.129899-2 1.696098+0 6.095546-2 1.947381+0 5.211250-2 2.235892+0 4.455240-2 2.586270+0 3.778262-2 3.086391+0 3.090576-2 3.543651+0 2.642218-2 4.068655+0 2.258904-2 4.671441+0 1.931199-2 5.363532+0 1.651035-2 6.158159+0 1.411515-2 7.070513+0 1.206743-2 8.118035+0 1.031678-2 9.320751+0 8.820096-3 9.821357+0 8.314290-3 1.000000+1 1.741297-2 1 86000 7 0 2.220000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-8.596456+1 3.044363-6-8.558474+1 5.434144-6-8.271497+1 5.941643-6-7.850602+1 6.092313-6-7.377830+1 6.155032-6-6.857177+1 6.238811-6-5.158113+1 6.256498-6-5.040417+1 6.271691-6-5.226831+1 6.287953-6-5.806395+1 6.309556-6-7.173333+1 6.325793-6-8.479389+1 6.341554-6-7.827772+1 6.362407-6-6.539552+1 6.378046-6-5.973853+1 6.397513-6-5.768117+1 6.417811-6-6.014784+1 6.492515-6-7.575646+1 6.559942-6-8.162868+1 6.757652-6-8.778184+1 7.471186-6-7.886018+1 7.687018-6-7.217644+1 7.783542-6-6.563944+1 7.831942-6-5.954584+1 7.858927-6-5.338686+1 7.899268-6-4.199189+1 7.921034-6-3.518036+1 7.944614-6-2.915492+1 7.961859-6-2.693593+1 7.970989-6-2.730395+1 7.982624-6-2.931904+1 7.993427-6-3.259488+1 8.006104-6-3.833586+1 8.015354-6-4.462913+1 8.034065-6-6.036975+1 8.062463-6-8.914462+1 8.072965-6-8.041626+1 8.094506-6-6.154639+1 8.107866-6-5.336482+1 8.125079-6-4.659175+1 8.141970-6-4.297032+1 8.156463-6-4.221485+1 8.172567-6-4.392755+1 8.189576-6-4.671953+1 8.246665-6-5.938460+1 8.272988-6-6.594602+1 8.346586-6-7.739867+1 8.476297-6-9.076815+1 8.538671-6-8.303896+1 8.626613-6-6.974540+1 8.657449-6-6.810570+1 8.690000-6-7.171679+1 8.723044-6-8.189923+1 8.745672-6-9.154192+1 8.790358-6-7.473102+1 8.821557-6-6.893975+1 8.848551-6-6.884538+1 8.892202-6-7.581780+1 8.975508-6-9.227611+1 9.026719-6-9.221307+1 9.047248-6-9.175740+1 9.119226-6-8.353089+1 9.174095-6-8.265468+1 9.260381-6-8.379802+1 9.617761-6-7.726734+1 1.015830-5-8.628132+1 1.029945-5-8.981632+1 1.037063-5-8.498639+1 1.046454-5-7.475453+1 1.052269-5-7.324990+1 1.074186-5-7.911379+1 1.164414-5-8.634846+1 1.172973-5-8.551026+1 1.184009-5-8.004716+1 1.197076-5-7.166349+1 1.202537-5-7.325036+1 1.207086-5-7.944168+1 1.210547-5-8.605626+1 1.217572-5-7.064826+1 1.222495-5-6.497651+1 1.227365-5-6.402293+1 1.239005-5-7.080618+1 1.259857-5-8.435810+1 1.264196-5-8.595822+1 1.272603-5-8.564670+1 1.275229-5-8.541835+1 1.289038-5-7.448077+1 1.296686-5-7.437426+1 1.309409-5-7.802810+1 1.375597-5-7.146108+1 1.440073-5-7.336551+1 1.991758-5-7.189961+1 2.322619-5-7.379212+1 2.362939-5-7.332791+1 2.396574-5-7.147287+1 2.480773-5-7.278385+1 4.039142-5-7.858703+1 4.820837-5-8.521317+1 4.946183-5-8.733753+1 5.026348-5-8.621447+1 5.307034-5-9.205393+1 5.585755-5-9.905374+1 5.851902-5-1.064786+2 6.273466-5-9.707791+1 6.788013-5-7.039789+1 7.084607-5-6.091538+1 7.456067-5-5.479103+1 7.870145-5-5.158771+1 8.893291-5-5.084587+1 1.176189-4-5.569385+1 1.243953-4-5.821004+1 1.272688-4-5.662211+1 1.615071-4-6.032440+1 2.294254-4-6.599581+1 2.736020-4-7.054613+1 3.236103-4-7.740956+1 3.650000-4-7.702836+1 5.011872-4-6.182395+1 5.346840-4-6.008941+1 6.383322-4-4.905123+1 7.342707-4-4.286541+1 7.827882-4-4.181232+1 8.092043-4-3.926864+1 8.958723-4-3.502591+1 1.036819-3-3.067457+1 1.186411-3-2.736770+1 1.382400-3-2.483137+1 1.642657-3-2.334186+1 1.973991-3-2.321568+1 2.278682-3-2.454976+1 2.513553-3-2.693838+1 2.671102-3-2.997538+1 2.766477-3-3.334215+1 2.819856-3-3.689709+1 2.855819-3-4.182172+1 2.881362-3-4.543896+1 2.897359-3-4.557463+1 2.945484-3-3.994966+1 2.974770-3-3.897498+1 3.017878-3-3.969308+1 3.041815-3-3.770410+1 3.090705-3-3.191644+1 3.142996-3-2.855385+1 3.225665-3-2.530772+1 3.340364-3-2.268281+1 3.434008-3-2.183919+1 3.518053-3-2.264135+1 3.567662-3-2.061268+1 3.631116-3-1.835411+1 3.742765-3-1.618160+1 3.908534-3-1.417479+1 4.050987-3-1.327751+1 4.145747-3-1.332865+1 4.275014-3-1.165667+1 4.386419-3-1.104177+1 4.459995-3-1.077864+1 4.591201-3-9.358714+0 4.793659-3-8.080654+0 5.128614-3-6.706088+0 5.397436-3-5.952446+0 5.855876-3-5.091072+0 6.294528-3-4.578235+0 6.962416-3-4.192751+0 7.723471-3-4.041590+0 8.689291-3-4.137404+0 9.898470-3-4.499009+0 1.122826-2-5.141419+0 1.246867-2-6.035391+0 1.328941-2-6.960399+0 1.382850-2-7.948927+0 1.415606-2-8.988227+0 1.432667-2-9.990773+0 1.455976-2-1.232097+1 1.463557-2-1.247761+1 1.473834-2-1.170795+1 1.488671-2-1.006625+1 1.502436-2-9.090644+0 1.525650-2-8.177378+0 1.562248-2-7.407136+0 1.607131-2-6.957448+0 1.654817-2-6.881195+0 1.690031-2-7.166872+0 1.711997-2-7.745059+0 1.733773-2-8.626872+0 1.745481-2-8.604614+0 1.775572-2-7.493255+0 1.807085-2-7.078849+0 1.841642-2-5.763937+0 1.872541-2-5.004028+0 1.921985-2-4.210798+0 1.995979-2-3.404071+0 2.066331-2-2.852301+0 2.127471-2-2.486036+0 2.217154-2-2.076415+0 2.330773-2-1.699284+0 2.469248-2-1.374029+0 2.579754-2-1.193394+0 2.708254-2-1.041163+0 2.895736-2-8.997171-1 3.076855-2-8.266495-1 3.381135-2-7.842929-1 3.703735-2-7.980843-1 4.351328-2-9.191205-1 7.014581-2-1.613306+0 7.931859-2-1.905237+0 8.660842-2-2.227147+0 9.127492-2-2.552995+0 9.420361-2-2.896533+0 9.594978-2-3.255814+0 9.690175-2-3.613363+0 9.838334-2-4.478230+0 9.893233-2-4.516670+0 9.965815-2-4.143560+0 1.007985-1-3.405291+0 1.017087-1-3.048874+0 1.032486-1-2.678230+0 1.055891-1-2.321296+0 1.088130-1-2.008921+0 1.129715-1-1.732799+0 1.185912-1-1.487709+0 1.250732-1-1.305196+0 1.352401-1-1.126215+0 1.467974-1-1.006773+0 1.632695-1-9.208041-1 1.885360-1-8.738262-1 2.388391-1-8.804465-1 4.388779-1-1.002115+0 6.965137-1-1.065348+0 1.477239+0-1.100513+0 4.461192+0-1.113919+0 1.000000+1-1.114414+0 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.079754+0 1.036679-6 2.757231+0 1.055244-6 3.194426+0 1.072648-6 3.680013+0 1.088965-6 4.217326+0 1.104261-6 4.809748+0 1.118602-6 5.460746+0 1.132047-6 6.173878+0 1.144651-6 6.952785+0 1.156467-6 7.801197+0 1.167545-6 8.722929+0 1.177930-6 9.721880+0 1.187667-6 1.080203+1 1.196795-6 1.196745+1 1.205352-6 1.322227+1 1.213374-6 1.457075+1 1.220896-6 1.601721+1 1.227947-6 1.756606+1 1.234557-6 1.922178+1 1.240754-6 2.098895+1 1.246564-6 2.287220+1 1.252011-6 2.487628+1 1.257117-6 2.700599+1 1.261904-6 2.926633+1 1.266392-6 3.166248+1 1.270600-6 3.419994+1 1.274544-6 3.688450+1 1.278242-6 3.972223+1 1.281709-6 4.271937+1 1.284959-6 4.588240+1 1.288007-6 4.921831+1 1.290863-6 5.273517+1 1.293541-6 5.644270+1 1.298406-6 6.447997+1 1.302819-6 7.378140+1 1.306681-6 8.424197+1 1.310060-6 9.598737+1 1.313016-6 1.090510+2 1.315603-6 1.233386+2 1.317867-6 1.386324+2 1.319848-6 1.546257+2 1.321581-6 1.709708+2 1.323097-6 1.873224+2 1.325585-6 2.188606+2 1.329712-6 2.861873+2 1.334302-6 3.863259+2 1.336995-6 4.580588+2 1.338637-6 5.062457+2 1.340278-6 5.574665+2 1.343561-6 6.671270+2 1.343971-6 6.813239+2 1.346843-6 7.819284+2 1.347972-6 8.213489+2 1.350126-6 8.947813+2 1.351255-6 9.316174+2 1.352332-6 9.652965+2 1.353819-6 1.008827+3 1.355076-6 1.042361+3 1.356692-6 1.080315+3 1.358128-6 1.108491+3 1.359801-6 1.133942+3 1.361718-6 1.152467+3 1.363360-6 1.158772+3 1.363931-6 1.158845+3 1.365562-6 1.152989+3 1.367175-6 1.138448+3 1.367965-6 1.128238+3 1.369529-6 1.102305+3 1.371015-6 1.071015+3 1.373407-6 1.008646+3 1.374676-6 9.703738+2 1.375746-6 9.358067+2 1.377158-6 8.875387+2 1.378257-6 8.482564+2 1.379671-6 7.961974+2 1.381107-6 7.422111+2 1.382608-6 6.854102+2 1.384595-6 6.108099+2 1.386237-6 5.507866+2 1.388083-6 4.859763+2 1.389519-6 4.380924+2 1.393007-6 3.329030+2 1.394065-6 3.044051+2 1.395075-6 2.787450+2 1.396085-6 2.545998+2 1.397521-6 2.228552+2 1.399252-6 1.885597+2 1.401011-6 1.579836+2 1.402310-6 1.380041+2 1.404020-6 1.148650+2 1.405703-6 9.531632+1 1.407360-6 7.890753+1 1.408991-6 6.521907+1 1.411391-6 4.896202+1 1.415266-6 3.062815+1 1.416775-6 2.560633+1 1.418259-6 2.159610+1 1.418993-6 1.991779+1 1.419721-6 1.843264+1 1.420443-6 1.712401+1 1.421160-6 1.597660+1 1.421871-6 1.497640+1 1.422576-6 1.411055+1 1.423276-6 1.336729+1 1.423971-6 1.273584+1 1.468070-6 5.104476+1 1.470827-6 5.857124+1 1.473411-6 6.705197+1 1.475833-6 7.655035+1 1.478104-6 8.712728+1 1.480233-6 9.884153+1 1.482229-6 1.117469+2 1.484100-6 1.258876+2 1.485855-6 1.412924+2 1.487500-6 1.579704+2 1.489041-6 1.759077+2 1.490487-6 1.950656+2 1.493197-6 2.382824+2 1.495569-6 2.855908+2 1.497644-6 3.358783+2 1.501048-6 4.404851+2 1.506466-6 6.798859+2 1.509763-6 8.807038+2 1.512402-6 1.076566+3 1.514747-6 1.278755+3 1.515892-6 1.387411+3 1.517753-6 1.577915+3 1.519614-6 1.785255+3 1.523336-6 2.246302+3 1.523801-6 2.307776+3 1.527058-6 2.756384+3 1.528337-6 2.939030+3 1.530780-6 3.291692+3 1.532670-6 3.563073+3 1.534502-6 3.819779+3 1.536392-6 4.073085+3 1.538224-6 4.302511+3 1.539852-6 4.489331+3 1.541357-6 4.644833+3 1.542179-6 4.721926+3 1.544359-6 4.896931+3 1.546062-6 5.000968+3 1.548047-6 5.083234+3 1.549826-6 5.119800+3 1.550901-6 5.124537+3 1.552559-6 5.106224+3 1.554246-6 5.056272+3 1.554893-6 5.028965+3 1.557067-6 4.905764+3 1.558552-6 4.795414+3 1.559554-6 4.710046+3 1.561021-6 4.570555+3 1.562446-6 4.420373+3 1.564278-6 4.209275+3 1.565906-6 4.007962+3 1.567477-6 3.804753+3 1.569861-6 3.485450+3 1.571722-6 3.232508+3 1.573816-6 2.949539+3 1.575444-6 2.733747+3 1.579166-6 2.265860+3 1.581667-6 1.978264+3 1.582888-6 1.846979+3 1.585680-6 1.571093+3 1.589125-6 1.278087+3 1.595416-6 8.718881+2 1.598936-6 7.076223+2 1.600676-6 6.403695+2 1.602402-6 5.815825+2 1.604115-6 5.302504+2 1.605814-6 4.854415+2 1.607500-6 4.463091+2 1.610846-6 3.818984+2 1.614139-6 3.322623+2 1.617381-6 2.934960+2 1.620572-6 2.627138+2 1.623714-6 2.378266+2 1.626806-6 2.173398+2 1.629850-6 2.001892+2 1.632847-6 1.856142+2 1.635796-6 1.730657+2 1.641603-6 1.523959+2 1.647229-6 1.362166+2 1.652679-6 1.232118+2 1.657958-6 1.125447+2 1.663073-6 1.036526+2 1.668028-6 9.614042+1 1.672827-6 8.972028+1 1.677477-6 8.417722+1 1.687500-6 7.404811+1 1.694932-6 6.780821+1 1.702851-6 6.209231+1 1.710274-6 5.744950+1 1.717233-6 5.361946+1 1.723758-6 5.041582+1 1.735991-6 4.523232+1 1.746695-6 4.140595+1 1.756061-6 3.849638+1 1.764256-6 3.623237+1 1.778598-6 3.279071+1 1.789354-6 3.056684+1 1.805489-6 2.768760+1 1.826107-6 2.463143+1 1.844042-6 2.242418+1 1.866460-6 2.012352+1 1.888878-6 1.821126+1 1.914748-6 1.637223+1 1.942956-6 1.471062+1 1.975865-6 1.311541+1 2.004073-6 1.198042+1 2.040279-6 1.074781+1 2.067434-6 9.952430+0 2.108166-6 8.928578+0 2.175344-6 7.547740+0 2.254682-6 6.278203+0 2.405721-6 4.311320+0 2.448000-6 3.757048+0 2.471800-6 3.423957+0 2.493039-6 3.097300+0 2.508969-6 2.823070+0 2.520917-6 2.592896+0 2.529877-6 2.402495+0 2.536597-6 2.248787+0 2.541638-6 2.127709+0 2.549198-6 1.938840+0 2.554869-6 1.794281+0 2.559905-6 1.666668+0 2.575638-6 1.306244+0 2.581931-6 1.193945+0 2.583504-6 1.169908+0 2.588224-6 1.108987+0 2.589798-6 1.092747+0 2.592158-6 1.072582+0 2.594517-6 1.057845+0 2.596091-6 1.051284+0 2.598451-6 1.046779+0 2.600811-6 1.049308+0 2.603957-6 1.065106+0 2.606317-6 1.087638+0 2.607104-6 1.097428+0 2.613397-6 1.225005+0 2.615560-6 1.293045+0 2.616593-6 1.330724+0 2.618141-6 1.394131+0 2.620336-6 1.499453+0 2.622049-6 1.595456+0 2.623330-6 1.675976+0 2.625252-6 1.811820+0 2.627578-6 2.002450+0 2.630649-6 2.303130+0 2.634029-6 2.705935+0 2.644457-6 4.506661+0 2.648476-6 5.448939+0 2.652045-6 6.403289+0 2.655311-6 7.368662+0 2.657947-6 8.206637+0 2.661029-6 9.244571+0 2.663966-6 1.028092+1 2.667001-6 1.138656+1 2.669767-6 1.241193+1 2.672534-6 1.344029+1 2.675708-6 1.460483+1 2.678659-6 1.565421+1 2.680233-6 1.619432+1 2.682846-6 1.705252+1 2.685871-6 1.797205+1 2.692037-6 1.953837+1 2.694568-6 2.004137+1 2.699244-6 2.073232+1 2.702487-6 2.102268+1 2.704035-6 2.110621+1 2.706357-6 2.116562+1 2.708679-6 2.114777+1 2.710880-6 2.106217+1 2.712531-6 2.095609+1 2.716245-6 2.059537+1 2.717483-6 2.044040+1 2.723127-6 1.954622+1 2.725546-6 1.908410+1 2.730384-6 1.805725+1 2.736835-6 1.655945+1 2.738790-6 1.609330+1 2.744658-6 1.470499+1 2.760530-6 1.139250+1 2.764607-6 1.069877+1 2.768683-6 1.007460+1 2.775350-6 9.196746+0 2.782017-6 8.478327+0 2.787477-6 7.990836+0 2.795666-6 7.396062+0 2.803855-6 6.926156+0 2.808685-6 6.692937+0 2.815352-6 6.411867+0 2.822019-6 6.168018+0 2.828687-6 5.953013+0 2.835354-6 5.760743+0 2.842021-6 5.586712+0 2.865044-6 5.085309+0 2.885189-6 4.730481+0 2.920442-6 4.214106+0 2.973323-6 3.535106+0 2.999763-6 3.171475+0 3.012984-6 2.963507+0 3.019594-6 2.850479+0 3.026204-6 2.731586+0 3.033652-6 2.592385+0 3.052387-6 2.254381+0 3.058106-6 2.172573+0 3.063747-6 2.112647+0 3.069389-6 2.080793+0 3.071270-6 2.077723+0 3.078792-6 2.110318+0 3.080673-6 2.130887+0 3.086315-6 2.225525+0 3.089437-6 2.300076+0 3.092418-6 2.386335+0 3.095398-6 2.487299+0 3.099295-6 2.640915+0 3.104864-6 2.900055+0 3.118088-6 3.655304+0 3.123927-6 4.018864+0 3.131450-6 4.475717+0 3.132390-6 4.530210+0 3.138973-6 4.884981+0 3.142193-6 5.037351+0 3.148340-6 5.280276+0 3.150930-6 5.361802+0 3.153197-6 5.422402+0 3.157163-6 5.503815+0 3.160138-6 5.544213+0 3.164600-6 5.572259+0 3.169063-6 5.563141+0 3.174704-6 5.503465+0 3.176585-6 5.472915+0 3.184108-6 5.306761+0 3.191630-6 5.088008+0 3.194540-6 4.994228+0 3.203269-6 4.697873+0 3.226080-6 3.951628+0 3.241287-6 3.540247+0 3.257520-6 3.173134+0 3.265538-6 3.013869+0 3.277975-6 2.796829+0 3.282004-6 2.736088+0 3.290063-6 2.632859+0 3.298121-6 2.559584+0 3.306180-6 2.522848+0 3.310209-6 2.519826+0 3.314238-6 2.527549+0 3.318267-6 2.546094+0 3.321289-6 2.566985+0 3.325822-6 2.609033+0 3.330355-6 2.662884+0 3.338413-6 2.782334+0 3.354530-6 3.062764+0 3.362588-6 3.191456+0 3.364603-6 3.219764+0 3.370647-6 3.292186+0 3.373544-6 3.319340+0 3.378615-6 3.353726+0 3.382417-6 3.368027+0 3.388122-6 3.370807+0 3.393826-6 3.352080+0 3.398608-6 3.321391+0 3.402880-6 3.284028+0 3.410939-6 3.194097+0 3.435114-6 2.884516+0 3.440434-6 2.829198+0 3.444845-6 2.790393+0 3.450890-6 2.748612+0 3.457164-6 2.719436+0 3.461347-6 2.707608+0 3.465530-6 2.701264+0 3.473895-6 2.701988+0 3.503173-6 2.750009+0 3.515721-6 2.750305+0 3.524372-6 2.738690+0 3.541722-6 2.696763+0 3.564161-6 2.638878+0 3.587922-6 2.597024+0 3.681238-6 2.481387+0 3.722209-6 2.424777+0 3.767887-6 2.342823+0 3.810681-6 2.257681+0 3.839434-6 2.188898+0 3.892219-6 2.050616+0 3.921861-6 1.986436+0 4.032059-6 1.817589+0 4.131963-6 1.659828+0 4.196803-6 1.555664+0 4.315191-6 1.366147+0 4.418883-6 1.205071+0 4.531566-6 1.037837+0 4.611138-6 9.262308-1 4.753830-6 7.391099-1 4.899334-6 5.672750-1 4.969815-6 4.912094-1 5.062873-6 3.996481-1 5.205543-6 2.771877-1 5.371629-6 1.613233-1 5.487784-6 9.853624-2 5.624766-6 4.464112-2 5.712653-6 2.190551-2 5.847592-6 4.857080-3 5.882792-6 3.869699-3 5.887377-6 3.885143-3 5.948358-6 7.304991-3 6.012739-6 1.734500-2 6.079611-6 3.506438-2 6.144000-6 5.970946-2 6.222844-6 1.005122-1 6.290462-6 1.445416-1 6.389206-6 1.934143-1 6.495952-6 1.630147-1 6.579373-6 1.213232-1 6.660096-6 8.539599-2 6.687722-6 7.437897-2 6.740630-6 5.526342-2 6.792711-6 3.910697-2 6.843979-6 2.595290-2 6.894446-6 1.584249-2 6.993802-6 4.567388-3 7.044594-6 3.801113-3 7.077731-6 5.365869-3 7.090053-6 6.372598-3 7.183297-6 2.148084-2 7.273626-6 4.974365-2 7.361133-6 9.179536-2 7.445905-6 1.480621-1 7.528029-6 2.189943-1 7.615749-6 3.145141-1 7.696785-6 4.227523-1 7.765484-6 5.314644-1 7.848452-6 6.856864-1 7.901716-6 7.997364-1 7.969595-6 9.649037-1 8.101110-6 1.350029+0 8.224406-6 1.802048+0 8.346645-6 2.357157+0 8.452471-6 2.941359+0 8.560517-6 3.656469+0 8.818198-6 6.009987+0 9.039224-6 9.096359+0 9.164510-6 1.151238+1 9.274625-6 1.421784+1 9.324576-6 1.567991+1 9.371405-6 1.721496+1 9.456466-6 2.049727+1 9.536221-6 2.431591+1 9.601165-6 2.814852+1 9.662414-6 3.258835+1 9.712784-6 3.706841+1 9.757186-6 4.188041+1 9.796768-6 4.712442+1 9.831403-6 5.276363+1 9.861708-6 5.885462+1 9.888225-6 6.544466+1 9.911428-6 7.254444+1 9.931730-6 8.010989+1 9.949494-6 8.804179+1 9.965038-6 9.620068+1 9.978639-6 1.044287+2 9.990540-6 1.125702+2 1.001137-5 1.292038+2 1.002699-5 1.438868+2 1.008237-5 2.128730+2 1.009864-5 2.380555+2 1.011724-5 2.690419+2 1.012344-5 2.797810+2 1.014823-5 3.238587+2 1.015133-5 3.294074+2 1.017303-5 3.675731+2 1.018155-5 3.819123+2 1.019782-5 4.074945+2 1.020635-5 4.196590+2 1.021448-5 4.302915+2 1.022262-5 4.398352+2 1.023347-5 4.506532+2 1.024393-5 4.587925+2 1.025826-5 4.659139+2 1.027047-5 4.680279+2 1.027531-5 4.678188+2 1.028616-5 4.651498+2 1.029700-5 4.594333+2 1.030146-5 4.562121+2 1.031163-5 4.470016+2 1.032257-5 4.343191+2 1.033366-5 4.187470+2 1.034478-5 4.006690+2 1.035594-5 3.803384+2 1.036166-5 3.692207+2 1.037254-5 3.469303+2 1.038354-5 3.232584+2 1.038907-5 3.110480+2 1.039774-5 2.916722+2 1.040541-5 2.743843+2 1.041222-5 2.590448+2 1.042098-5 2.394830+2 1.043183-5 2.157458+2 1.044198-5 1.942576+2 1.044578-5 1.864581+2 1.045818-5 1.619736+2 1.046883-5 1.423246+2 1.047503-5 1.315424+2 1.048520-5 1.149480+2 1.049614-5 9.866048+1 1.050539-5 8.619501+1 1.051647-5 7.279302+1 1.052772-5 6.087404+1 1.054011-5 4.961514+1 1.055522-5 3.835082+1 1.058114-5 2.452557+1 1.058919-5 2.144354+1 1.059557-5 1.935021+1 1.060190-5 1.755586+1 1.060819-5 1.602984+1 1.061444-5 1.474988+1 1.062064-5 1.369188+1 1.062678-5 1.283364+1 1.063289-5 1.215483+1 1.063894-5 1.163692+1 1.065095-5 1.101656+1 1.066277-5 1.086099+1 1.067441-5 1.107502+1 1.068587-5 1.158241+1 1.069714-5 1.232259+1 1.071935-5 1.433871+1 1.076169-5 1.965471+1 1.078188-5 2.267745+1 1.082098-5 2.919633+1 1.111430-5 9.508481+1 1.118763-5 1.192378+2 1.128387-5 1.610143+2 1.136121-5 2.059757+2 1.140762-5 2.396539+2 1.144548-5 2.720069+2 1.149185-5 3.192330+2 1.151993-5 3.529216+2 1.154801-5 3.913896+2 1.158602-5 4.529831+2 1.160913-5 4.971272+2 1.163224-5 5.476579+2 1.166032-5 6.198256+2 1.169390-5 7.266652+2 1.171648-5 8.153999+2 1.174456-5 9.515200+2 1.176196-5 1.054380+3 1.178806-5 1.243344+3 1.180111-5 1.357005+3 1.181416-5 1.486022+3 1.183552-5 1.736036+3 1.185687-5 2.043878+3 1.187120-5 2.288842+3 1.189551-5 2.787117+3 1.196153-5 4.798287+3 1.198580-5 5.820541+3 1.199542-5 6.270495+3 1.201379-5 7.198223+3 1.202836-5 7.994853+3 1.204661-5 9.060929+3 1.205952-5 9.852991+3 1.207611-5 1.090640+4 1.208256-5 1.132348+4 1.210192-5 1.258469+4 1.211206-5 1.324285+4 1.212174-5 1.386310+4 1.213510-5 1.469758+4 1.214807-5 1.547091+4 1.216262-5 1.628153+4 1.217478-5 1.689965+4 1.218650-5 1.743521+4 1.219041-5 1.759908+4 1.220658-5 1.819140+4 1.222162-5 1.860679+4 1.223873-5 1.890644+4 1.225331-5 1.900813+4 1.226362-5 1.899284+4 1.227815-5 1.884855+4 1.229057-5 1.861359+4 1.230403-5 1.824724+4 1.231748-5 1.777284+4 1.232838-5 1.731456+4 1.234497-5 1.650560+4 1.235843-5 1.576401+4 1.237323-5 1.487831+4 1.238637-5 1.404448+4 1.239693-5 1.335146+4 1.240326-5 1.292887+4 1.241482-5 1.214991+4 1.242638-5 1.136795+4 1.244113-5 1.037813+4 1.245588-5 9.409964+3 1.247247-5 8.361690+3 1.248907-5 7.370031+3 1.251488-5 5.963156+3 1.252822-5 5.307234+3 1.254095-5 4.728289+3 1.255873-5 3.997146+3 1.257727-5 3.328363+3 1.258963-5 2.933610+3 1.260756-5 2.428418+3 1.261909-5 2.143378+3 1.263061-5 1.887205+3 1.265440-5 1.441618+3 1.270411-5 8.115734+2 1.272667-5 6.338925+2 1.273419-5 5.873244+2 1.274617-5 5.252590+2 1.275975-5 4.719019+2 1.276428-5 4.579646+2 1.277343-5 4.354714+2 1.278029-5 4.234610+2 1.278591-5 4.166542+2 1.279096-5 4.128283+2 1.279385-5 4.116064+2 1.279889-5 4.111304+2 1.280268-5 4.121485+2 1.280836-5 4.158599+2 1.281404-5 4.221620+2 1.282103-5 4.334382+2 1.282542-5 4.424756+2 1.283609-5 4.705876+2 1.284418-5 4.976197+2 1.284599-5 5.043512+2 1.287801-5 6.613025+2 1.291355-5 9.107651+2 1.292677-5 1.019706+3 1.294691-5 1.197440+3 1.295948-5 1.313151+3 1.297005-5 1.411787+3 1.298136-5 1.517326+3 1.299356-5 1.629544+3 1.300439-5 1.726405+3 1.301570-5 1.823383+3 1.303083-5 1.943995+3 1.304121-5 2.019243+3 1.305097-5 2.083429+3 1.306345-5 2.155228+3 1.307510-5 2.210762+3 1.309207-5 2.270225+3 1.310415-5 2.296267+3 1.311490-5 2.307804+3 1.312779-5 2.307215+3 1.314160-5 2.289527+3 1.314704-5 2.277915+3 1.316584-5 2.218749+3 1.317955-5 2.158789+3 1.319458-5 2.079103+3 1.320609-5 2.009926+3 1.322254-5 1.901645+3 1.323972-5 1.780622+3 1.325615-5 1.661501+3 1.327606-5 1.518084+3 1.332527-5 1.202020+3 1.334646-5 1.093939+3 1.336168-5 1.028838+3 1.337317-5 9.867940+2 1.338795-5 9.416155+2 1.340586-5 8.996393+2 1.341576-5 8.819987+2 1.342862-5 8.644815+2 1.344370-5 8.508219+2 1.345673-5 8.441573+2 1.347191-5 8.413060+2 1.348710-5 8.425801+2 1.353107-5 8.593052+2 1.357039-5 8.773815+2 1.360242-5 8.875917+2 1.363255-5 8.917920+2 1.366888-5 8.903569+2 1.369485-5 8.860483+2 1.376668-5 8.673284+2 1.386382-5 8.374199+2 1.391209-5 8.184788+2 1.394518-5 8.020953+2 1.398123-5 7.801703+2 1.400985-5 7.594455+2 1.403136-5 7.419412+2 1.406573-5 7.107997+2 1.409778-5 6.787954+2 1.413308-5 6.412184+2 1.417391-5 5.963315+2 1.423323-5 5.323393+2 1.431692-5 4.529320+2 1.433883-5 4.351170+2 1.437780-5 4.066688+2 1.441935-5 3.806886+2 1.446309-5 3.575984+2 1.449170-5 3.444743+2 1.452901-5 3.292667+2 1.459772-5 3.054290+2 1.466723-5 2.848737+2 1.484300-5 2.401974+2 1.501152-5 2.016528+2 1.506646-5 1.909884+2 1.509309-5 1.866833+2 1.512703-5 1.824035+2 1.513753-5 1.814148+2 1.518750-5 1.794079+2 1.520156-5 1.797583+2 1.523798-5 1.827658+2 1.524729-5 1.840367+2 1.527521-5 1.890745+2 1.528452-5 1.911502+2 1.531244-5 1.984684+2 1.534967-5 2.103280+2 1.540552-5 2.303505+2 1.542414-5 2.369158+2 1.545206-5 2.459998+2 1.546602-5 2.500265+2 1.549453-5 2.568070+2 1.550325-5 2.584331+2 1.554049-5 2.626374+2 1.555150-5 2.629751+2 1.557306-5 2.623942+2 1.559633-5 2.599388+2 1.561029-5 2.575882+2 1.563356-5 2.523121+2 1.564753-5 2.484019+2 1.567545-5 2.391504+2 1.568476-5 2.357056+2 1.571268-5 2.245432+2 1.572199-5 2.206076+2 1.575922-5 2.042638+2 1.579645-5 1.877148+2 1.589824-5 1.470778+2 1.593336-5 1.355289+2 1.596627-5 1.258993+2 1.602800-5 1.105837+2 1.615171-5 8.747669+1 1.621470-5 7.821591+1 1.627011-5 7.116169+1 1.631463-5 6.628510+1 1.635098-5 6.292346+1 1.638400-5 6.045904+1 1.640590-5 5.919317+1 1.642555-5 5.834988+1 1.644280-5 5.786839+1 1.646006-5 5.766095+1 1.647778-5 5.777043+1 1.649202-5 5.812531+1 1.650659-5 5.876460+1 1.651633-5 5.936412+1 1.652716-5 6.020923+1 1.654109-5 6.159881+1 1.655121-5 6.284549+1 1.655881-5 6.392333+1 1.657020-5 6.579017+1 1.658451-5 6.860403+1 1.659173-5 7.024211+1 1.660692-5 7.422959+1 1.662211-5 7.903880+1 1.664148-5 8.656620+1 1.665463-5 9.271519+1 1.666676-5 9.924318+1 1.668495-5 1.108083+2 1.670314-5 1.248547+2 1.672037-5 1.408604+2 1.673061-5 1.518003+2 1.674597-5 1.704770+2 1.677156-5 2.086145+2 1.678692-5 2.364079+2 1.681252-5 2.924633+2 1.687935-5 5.130610+2 1.690571-5 6.375102+2 1.693458-5 8.033786+2 1.696008-5 9.782020+2 1.697182-5 1.068192+3 1.700705-5 1.375445+3 1.702834-5 1.588492+3 1.703138-5 1.620585+3 1.707570-5 2.132472+3 1.711777-5 2.683196+3 1.713303-5 2.893971+3 1.714760-5 3.098418+3 1.716590-5 3.357368+3 1.718628-5 3.644594+3 1.719821-5 3.810239+3 1.721777-5 4.074872+3 1.723886-5 4.345577+3 1.726060-5 4.602637+3 1.728019-5 4.810130+3 1.728610-5 4.867558+3 1.730800-5 5.057079+3 1.732860-5 5.198646+3 1.734816-5 5.297119+3 1.736750-5 5.358152+3 1.740917-5 5.362906+3 1.742499-5 5.319703+3 1.743312-5 5.288163+3 1.746116-5 5.133447+3 1.748097-5 4.984415+3 1.749763-5 4.836458+3 1.751545-5 4.658103+3 1.753547-5 4.436913+3 1.755218-5 4.238423+3 1.757368-5 3.969495+3 1.759453-5 3.698765+3 1.761539-5 3.423491+3 1.763929-5 3.108471+3 1.765788-5 2.867590+3 1.770040-5 2.344406+3 1.771719-5 2.152545+3 1.774923-5 1.814787+3 1.778430-5 1.492803+3 1.783906-5 1.096113+3 1.788623-5 8.574624+2 1.789170-5 8.356658+2 1.793004-5 7.153715+2 1.793816-5 6.967960+2 1.797526-5 6.401048+2 1.798321-5 6.335556+2 1.799229-5 6.283096+2 1.801951-5 6.257809+2 1.802895-5 6.291406+2 1.804164-5 6.367315+2 1.805135-5 6.447432+2 1.806524-5 6.591802+2 1.808309-5 6.822517+2 1.810591-5 7.177079+2 1.815937-5 8.159767+2 1.818913-5 8.727360+2 1.820166-5 8.957800+2 1.822607-5 9.379566+2 1.824867-5 9.726022+2 1.825775-5 9.850764+2 1.828497-5 1.016904+3 1.830468-5 1.034329+3 1.832437-5 1.046821+3 1.834183-5 1.053814+3 1.836162-5 1.057249+3 1.838990-5 1.054521+3 1.841943-5 1.043415+3 1.845803-5 1.019376+3 1.850619-5 9.808823+2 1.858265-5 9.193786+2 1.860148-5 9.064647+2 1.863258-5 8.880485+2 1.866946-5 8.712368+2 1.869744-5 8.620221+2 1.874140-5 8.529187+2 1.875888-5 8.508062+2 1.887116-5 8.486379+2 1.898814-5 8.494789+2 1.905658-5 8.457830+2 1.910079-5 8.410057+2 1.916733-5 8.297370+2 1.919687-5 8.230348+2 1.926186-5 8.044763+2 1.933233-5 7.786876+2 1.940034-5 7.492911+2 1.948903-5 7.074106+2 1.963299-5 6.419921+2 1.967731-5 6.244202+2 1.975923-5 5.960787+2 1.984708-5 5.713694+2 1.997744-5 5.430862+2 2.016040-5 5.135222+2 2.040779-5 4.829399+2 2.071084-5 4.533482+2 2.097052-5 4.320785+2 2.113489-5 4.201487+2 2.148900-5 3.978051+2 2.180378-5 3.806726+2 2.216238-5 3.634181+2 2.271172-5 3.410107+2 2.320732-5 3.238190+2 2.385620-5 3.044204+2 2.438425-5 2.907648+2 2.519300-5 2.727903+2 2.622929-5 2.530585+2 2.835971-5 2.201267+2 2.898486-5 2.108889+2 2.947109-5 2.023770+2 2.973296-5 1.968998+2 2.987933-5 1.943698+2 2.995251-5 1.935824+2 3.002570-5 1.932659+2 3.014464-5 1.939487+2 3.021327-5 1.950311+2 3.033823-5 1.980176+2 3.053798-5 2.034118+2 3.061117-5 2.048195+2 3.067731-5 2.055956+2 3.078708-5 2.057094+2 3.090569-5 2.043066+2 3.105027-5 2.012036+2 3.130783-5 1.954051+2 3.146403-5 1.931530+2 3.163035-5 1.918393+2 3.212209-5 1.895841+2 3.269547-5 1.857453+2 3.308801-5 1.822620+2 3.358511-5 1.775201+2 3.630781-5 1.563950+2 3.750803-5 1.479017+2 3.857003-5 1.405812+2 4.000000-5 1.307601+2 4.131971-5 1.218658+2 4.276486-5 1.121001+2 4.403805-5 1.034505+2 4.553955-5 9.300888+1 4.687823-5 8.352312+1 4.841724-5 7.240636+1 4.926064-5 6.619789+1 5.038246-5 5.780742+1 5.104796-5 5.276814+1 5.198126-5 4.561865+1 5.285623-5 3.886043+1 5.333732-5 3.514947+1 5.435436-5 2.741772+1 5.516712-5 2.142059+1 5.584238-5 1.660672+1 5.648077-5 1.230601+1 5.672180-5 1.077262+1 5.707008-5 8.671211+0 5.743013-5 6.670459+0 5.755987-5 5.999714+0 5.796560-5 4.109682+0 5.818446-5 3.246583+0 5.834230-5 2.707256+0 5.847089-5 2.327380+0 5.861410-5 1.976212+0 5.867192-5 1.858419+0 5.875732-5 1.712313+0 5.890053-5 1.550467+0 5.904375-5 1.508875+0 5.912807-5 1.549233+0 5.918696-5 1.609137+0 5.924874-5 1.702170+0 5.933017-5 1.875382+0 5.947339-5 2.332183+0 5.961660-5 3.001079+0 5.969664-5 3.472936+0 5.990303-5 5.017599+0 5.999051-5 5.808220+0 6.008953-5 6.788876+0 6.013745-5 7.292075+0 6.028439-5 8.925206+0 6.036680-5 9.881843+0 6.044922-5 1.085149+1 6.050471-5 1.150537+1 6.060183-5 1.263951+1 6.067467-5 1.347360+1 6.073585-5 1.415921+1 6.078393-5 1.468721+1 6.083856-5 1.527530+1 6.089319-5 1.585127+1 6.104307-5 1.738348+1 6.139001-5 2.105476+1 6.151651-5 2.266296+1 6.159507-5 2.379568+1 6.170472-5 2.559072+1 6.180478-5 2.748053+1 6.194856-5 3.067455+1 6.209076-5 3.444261+1 6.226096-5 3.981258+1 6.252485-5 5.015848+1 6.291834-5 7.111434+1 6.317872-5 8.990589+1 6.349410-5 1.201038+2 6.419594-5 2.304041+2 6.442494-5 2.830453+2 6.458742-5 3.260271+2 6.472871-5 3.672296+2 6.488681-5 4.174370+2 6.502617-5 4.650404+2 6.519291-5 5.256060+2 6.529441-5 5.640568+2 6.539488-5 6.030015+2 6.553600-5 6.586461+2 6.566249-5 7.087799+2 6.579886-5 7.622450+2 6.593523-5 8.141893+2 6.606282-5 8.605998+2 6.617258-5 8.982944+2 6.631826-5 9.444886+2 6.645564-5 9.835233+2 6.659774-5 1.018942+3 6.670737-5 1.042767+3 6.682259-5 1.064584+3 6.699149-5 1.090929+3 6.715849-5 1.111013+3 6.737036-5 1.129212+3 6.758573-5 1.140895+3 6.781852-5 1.147444+3 6.801021-5 1.149111+3 6.844858-5 1.144394+3 6.898353-5 1.134876+3 6.925305-5 1.135150+3 6.948569-5 1.141000+3 6.968085-5 1.150851+3 7.000000-5 1.177330+3 7.031327-5 1.214749+3 7.126460-5 1.359558+3 7.163726-5 1.411253+3 7.198434-5 1.451599+3 7.231029-5 1.482597+3 7.276335-5 1.516598+3 7.307453-5 1.535523+3 7.380798-5 1.571990+3 7.447596-5 1.599177+3 7.520000-5 1.621147+3 7.574983-5 1.630602+3 7.622500-5 1.633285+3 7.684549-5 1.628790+3 7.732985-5 1.618154+3 7.778860-5 1.602003+3 7.822441-5 1.581917+3 7.884844-5 1.547618+3 7.983665-5 1.486283+3 8.118670-5 1.402636+3 8.240000-5 1.339485+3 8.369602-5 1.285383+3 8.477711-5 1.247725+3 8.622138-5 1.204905+3 8.928495-5 1.130828+3 9.660509-5 9.914746+2 1.035142-4 8.875328+2 1.098711-4 8.113746+2 1.198400-4 7.185556+2 1.312200-4 6.340353+2 1.377579-4 5.898535+2 1.398572-4 5.779397+2 1.405578-4 5.723118+2 1.431310-4 5.460942+2 1.440000-4 5.404504+2 1.448535-4 5.384200+2 1.457348-4 5.391487+2 1.473691-4 5.422241+2 1.499484-4 5.416144+2 1.527599-4 5.355330+2 1.576942-4 5.205361+2 1.641588-4 4.988396+2 1.700249-4 4.781361+2 1.768817-4 4.532246+2 1.807490-4 4.376983+2 1.824178-4 4.339574+2 1.853225-4 4.325297+2 1.899673-4 4.272906+2 1.949844-4 4.179429+2 1.992764-4 4.086189+2 2.032146-4 3.996074+2 2.091735-4 3.855395+2 2.141327-4 3.735727+2 2.194204-4 3.604168+2 2.263306-4 3.423191+2 2.338000-4 3.222031+2 2.409854-4 3.061017+2 2.500687-4 2.822381+2 2.546244-4 2.684539+2 2.606699-4 2.488202+2 2.622730-4 2.447742+2 2.649097-4 2.400006+2 2.685710-4 2.339177+2 2.741955-4 2.238525+2 2.766000-4 2.188912+2 2.787297-4 2.136852+2 2.807000-4 2.083652+2 2.833938-4 2.006390+2 2.860000-4 1.928847+2 2.890000-4 1.837742+2 2.920000-4 1.745970+2 2.964688-4 1.610440+2 3.034215-4 1.409598+2 3.098015-4 1.249167+2 3.134850-4 1.173039+2 3.159437-4 1.130848+2 3.177244-4 1.105261+2 3.202474-4 1.076778+2 3.239954-4 1.051900+2 3.271859-4 1.048466+2 3.322182-4 1.077545+2 3.389941-4 1.177598+2 3.429942-4 1.269586+2 3.457471-4 1.348562+2 3.500000-4 1.493561+2 3.525000-4 1.591035+2 3.596320-4 1.916109+2 3.640000-4 2.148152+2 3.696412-4 2.477110+2 3.749451-4 2.809452+2 3.789767-4 3.073810+2 3.823842-4 3.304020+2 3.880000-4 3.693091+2 3.940000-4 4.117556+2 4.000000-4 4.548663+2 4.077262-4 5.109361+2 4.158371-4 5.699240+2 4.244363-4 6.319621+2 4.326601-4 6.901077+2 4.427508-4 7.587257+2 4.532361-4 8.262632+2 4.646265-4 8.954422+2 4.771394-4 9.667060+2 4.938869-4 1.053896+3 5.084520-4 1.121171+3 5.228446-4 1.178674+3 5.317957-4 1.209020+3 5.439229-4 1.241883+3 5.564724-4 1.267973+3 5.602640-4 1.282055+3 5.641128-4 1.304011+3 5.741357-4 1.380359+3 5.794192-4 1.413534+3 5.905719-4 1.471029+3 5.956621-4 1.505491+3 6.044419-4 1.578145+3 6.127045-4 1.640581+3 6.259781-4 1.719136+3 6.438386-4 1.802059+3 6.619209-4 1.868093+3 6.880414-4 1.948114+3 7.134660-4 2.012675+3 7.422170-4 2.074164+3 7.706044-4 2.120610+3 8.036338-4 2.150047+3 8.088990-4 2.158152+3 8.129603-4 2.168919+3 8.242934-4 2.217295+3 8.399783-4 2.289501+3 8.511380-4 2.328993+3 8.718115-4 2.381974+3 9.015711-4 2.437914+3 9.345983-4 2.483537+3 9.951344-4 2.545192+3 1.021821-3 2.578686+3 1.056303-3 2.605490+3 1.093369-3 2.621317+3 1.114727-3 2.626063+3 1.130010-3 2.636282+3 1.161840-3 2.673463+3 1.202980-3 2.700916+3 1.252716-3 2.719619+3 1.320758-3 2.734304+3 1.394326-3 2.734603+3 1.469846-3 2.723917+3 1.550104-3 2.705684+3 1.642640-3 2.677805+3 1.724456-3 2.644769+3 1.826616-3 2.595811+3 1.944000-3 2.533243+3 2.063110-3 2.461516+3 2.174422-3 2.379529+3 2.279551-3 2.293338+3 2.383005-3 2.199556+3 2.475551-3 2.104221+3 2.547953-3 2.021145+3 2.617506-3 1.932179+3 2.677953-3 1.844873+3 2.730549-3 1.757888+3 2.775994-3 1.671244+3 2.810071-3 1.596532+3 2.843129-3 1.512549+3 2.871938-3 1.425663+3 2.893649-3 1.346659+3 2.911196-3 1.270109+3 2.925483-3 1.198120+3 2.935601-3 1.143226+3 2.952718-3 1.052417+3 2.961001-3 1.015728+3 2.967077-3 9.947213+2 2.970854-3 9.849034+2 2.974647-3 9.779227+2 2.978251-3 9.742037+2 2.982460-3 9.736969+2 2.986269-3 9.769482+2 2.991287-3 9.866991+2 2.995452-3 9.994453+2 3.001638-3 1.025700+3 3.007655-3 1.058663+3 3.012957-3 1.092612+3 3.030147-3 1.219141+3 3.038327-3 1.279187+3 3.044090-3 1.318375+3 3.051692-3 1.364349+3 3.059376-3 1.403082+3 3.067480-3 1.435270+3 3.077590-3 1.464417+3 3.086694-3 1.483199+3 3.103689-3 1.513362+3 3.109723-3 1.526721+3 3.116975-3 1.547017+3 3.123502-3 1.570281+3 3.132100-3 1.609049+3 3.140285-3 1.654491+3 3.155071-3 1.753580+3 3.170245-3 1.866144+3 3.177732-3 1.920879+3 3.187731-3 1.989490+3 3.199050-3 2.058231+3 3.210571-3 2.117113+3 3.220000-3 2.157267+3 3.237195-3 2.214937+3 3.259840-3 2.269429+3 3.285610-3 2.314490+3 3.318369-3 2.358138+3 3.352766-3 2.394168+3 3.388442-3 2.423151+3 3.432903-3 2.448226+3 3.467369-3 2.458672+3 3.510077-3 2.459210+3 3.540079-3 2.448969+3 3.596597-3 2.415745+3 3.610086-3 2.414914+3 3.624477-3 2.422264+3 3.636728-3 2.436311+3 3.657307-3 2.475013+3 3.699347-3 2.580876+3 3.715352-3 2.617572+3 3.733078-3 2.651650+3 3.757686-3 2.687937+3 3.784154-3 2.716326+3 3.822557-3 2.745797+3 3.861971-3 2.767385+3 3.917489-3 2.788531+3 3.971121-3 2.801565+3 4.034781-3 2.808976+3 4.086096-3 2.808693+3 4.149663-3 2.800818+3 4.225248-3 2.776941+3 4.279885-3 2.759615+3 4.315970-3 2.763012+3 4.417408-3 2.808821+3 4.457174-3 2.815998+3 4.529932-3 2.811152+3 4.601317-3 2.803825+3 4.642361-3 2.812315+3 4.748858-3 2.845618+3 4.796995-3 2.851006+3 4.927982-3 2.849914+3 5.113874-3 2.831595+3 5.378052-3 2.786822+3 5.649375-3 2.730215+3 6.073478-3 2.630635+3 6.484478-3 2.527782+3 6.963884-3 2.405976+3 7.477389-3 2.278172+3 8.104943-3 2.129320+3 8.759917-3 1.983327+3 9.549926-3 1.819691+3 1.041541-2 1.657165+3 1.084890-2 1.581305+3 1.136032-2 1.495797+3 1.180252-2 1.424697+3 1.224530-2 1.355900+3 1.263292-2 1.296896+3 1.294333-2 1.249983+3 1.324363-2 1.204490+3 1.350906-2 1.163795+3 1.373819-2 1.127745+3 1.393671-2 1.095189+3 1.410840-2 1.065478+3 1.425300-2 1.038697+3 1.436300-2 1.016588+3 1.447295-2 9.920217+2 1.456070-2 9.696289+2 1.463081-2 9.492543+2 1.473689-2 9.139287+2 1.487042-2 8.685504+2 1.493412-2 8.526560+2 1.497019-2 8.468996+2 1.501666-2 8.436317+2 1.507258-2 8.460609+2 1.513925-2 8.568143+2 1.531379-2 9.017100+2 1.535949-2 9.123721+2 1.541301-2 9.229546+2 1.546734-2 9.315285+2 1.554096-2 9.400605+2 1.562909-2 9.466724+2 1.572894-2 9.508957+2 1.584790-2 9.529049+2 1.597064-2 9.525752+2 1.613933-2 9.493320+2 1.642494-2 9.386389+2 1.662301-2 9.282939+2 1.678915-2 9.179910+2 1.698244-2 9.041354+2 1.713665-2 8.914445+2 1.727565-2 8.783172+2 1.740524-2 8.639921+2 1.758117-2 8.400231+2 1.780131-2 8.073772+2 1.788988-2 7.985167+2 1.797178-2 7.947000+2 1.806044-2 7.952359+2 1.832497-2 8.074631+2 1.865098-2 8.169972+2 1.901098-2 8.382514+2 1.919899-2 8.444911+2 1.946415-2 8.463785+2 1.982567-2 8.428301+2 2.041738-2 8.302730+2 2.089296-2 8.171395+2 2.182357-2 7.872971+2 2.278405-2 7.544626+2 2.394611-2 7.145510+2 2.556102-2 6.616527+2 2.754229-2 6.026630+2 3.054921-2 5.255182+2 3.419352-2 4.494573+2 3.731931-2 3.960629+2 4.007708-2 3.556679+2 4.531292-2 2.930247+2 5.142413-2 2.385716+2 5.588807-2 2.073306+2 6.292210-2 1.685010+2 7.393727-2 1.260713+2 7.990057-2 1.091509+2 8.586636-2 9.492993+1 9.024358-2 8.568079+1 9.335695-2 7.943192+1 9.560028-2 7.489213+1 9.709291-2 7.168175+1 9.776089-2 7.011515+1 9.832396-2 6.867452+1 9.913663-2 6.630588+1 1.005150-1 6.190383+1 1.009622-1 6.086187+1 1.013958-1 6.029340+1 1.017442-1 6.019019+1 1.021946-1 6.047359+1 1.029509-1 6.156815+1 1.036335-1 6.260337+1 1.042971-1 6.329845+1 1.051775-1 6.371613+1 1.064397-1 6.370616+1 1.080710-1 6.319560+1 1.101086-1 6.218002+1 1.123587-1 6.084403+1 1.152326-1 5.898403+1 1.206534-1 5.534473+1 1.277461-1 5.072321+1 1.364583-1 4.558724+1 1.517386-1 3.809867+1 1.760722-1 2.935890+1 2.044678-1 2.244801+1 2.399729-1 1.674533+1 2.930459-1 1.154069+1 3.633373-1 7.681338+0 4.930052-1 4.273315+0 6.978306-1 2.175313+0 1.127505+0 8.493124-1 1.776032+0 3.458964-1 3.543651+0 8.745163-2 1.070165+1 9.607031-3 3.231848+1 1.053496-3 9.760024+1 1.155148-4 2.947480+2 1.266596-5 8.901248+2 1.388795-6 3.162278+3 1.100373-7 1.000000+4 1.100373-8 3.162278+4 1.100373-9 1.000000+5 1.10037-10 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.584900-6 1.258900-6 4.096800-6 1.584900-6 6.493000-6 1.995300-6 1.029100-5 2.511900-6 1.631000-5 3.162300-6 2.584900-5 3.981100-6 4.096700-5 5.011900-6 6.492900-5 6.309600-6 1.029000-4 7.943300-6 1.630900-4 1.000000-5 2.584800-4 1.258900-5 4.096500-4 1.584900-5 6.489100-4 1.995300-5 1.027700-3 2.511900-5 1.627900-3 3.162300-5 2.579000-3 3.981100-5 4.086100-3 5.011900-5 6.473300-3 6.309600-5 1.025400-2 7.943300-5 1.621700-2 1.000000-4 2.563600-2 1.258900-4 4.048000-2 1.584900-4 6.376100-2 1.995300-4 1.000500-1 2.511900-4 1.561400-1 3.162300-4 2.416400-1 3.981100-4 3.685000-1 5.011900-4 5.464400-1 6.309600-4 7.876200-1 7.943300-4 1.104400+0 1.000000-3 1.516400+0 1.258900-3 2.056400+0 1.584900-3 2.763800+0 1.995300-3 3.675200+0 2.511900-3 4.816600+0 3.162300-3 6.213600+0 3.981100-3 7.850500+0 5.011900-3 9.679500+0 6.309600-3 1.172300+1 7.943300-3 1.406600+1 1.000000-2 1.671100+1 1.258900-2 1.952300+1 1.584900-2 2.237900+1 1.995300-2 2.520000+1 2.511900-2 2.795900+1 3.162300-2 3.057600+1 3.981100-2 3.286000+1 5.011900-2 3.462900+1 6.309600-2 3.577400+1 7.943300-2 3.629300+1 1.000000-1 3.621300+1 1.258900-1 3.552800+1 1.584900-1 3.437100+1 1.995300-1 3.278900+1 2.511900-1 3.092400+1 3.162300-1 2.887400+1 3.981100-1 2.672200+1 5.011900-1 2.453500+1 6.309600-1 2.236100+1 7.943300-1 2.023900+1 1.000000+0 1.818600+1 1.258900+0 1.624600+1 1.584900+0 1.441000+1 1.995300+0 1.269600+1 2.511900+0 1.111300+1 3.162300+0 9.666500+0 3.981100+0 8.357700+0 5.011900+0 7.185400+0 6.309600+0 6.144400+0 7.943300+0 5.229700+0 1.000000+1 4.431000+0 1.258900+1 3.739200+0 1.584900+1 3.143700+0 1.995300+1 2.634300+0 2.511900+1 2.200800+0 3.162300+1 1.833700+0 3.981100+1 1.524100+0 5.011900+1 1.263900+0 6.309600+1 1.046100+0 7.943300+1 8.642100-1 1.000000+2 7.127700-1 1.258900+2 5.869800-1 1.584900+2 4.827200-1 1.995300+2 3.964800-1 2.511900+2 3.252600-1 3.162300+2 2.665400-1 3.981100+2 2.182100-1 5.011900+2 1.784700-1 6.309600+2 1.458400-1 7.943300+2 1.190800-1 1.000000+3 9.715600-2 1.258900+3 7.921000-2 1.584900+3 6.453500-2 1.995300+3 5.254500-2 2.511900+3 4.275700-2 3.162300+3 3.477200-2 3.981100+3 2.826200-2 5.011900+3 2.295900-2 6.309600+3 1.864200-2 7.943300+3 1.513000-2 1.000000+4 1.227300-2 1.258900+4 9.951800-3 1.584900+4 8.066000-3 1.995300+4 6.535000-3 2.511900+4 5.292500-3 3.162300+4 4.284700-3 3.981100+4 3.467500-3 5.011900+4 2.805200-3 6.309600+4 2.268700-3 7.943300+4 1.834200-3 1.000000+5 1.482400-3 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994176-4 2.511886-4 2.510168-4 3.162278-4 3.159563-4 3.981072-4 3.976792-4 5.011872-4 5.005155-4 6.309573-4 6.299056-4 7.943282-4 7.926834-4 1.000000-3 9.974246-4 1.258925-3 1.254881-3 1.584893-3 1.578518-3 1.995262-3 1.985254-3 2.511886-3 2.496169-3 3.162278-3 3.137638-3 3.981072-3 3.942576-3 5.011872-3 4.951868-3 6.309573-3 6.216156-3 7.943282-3 7.797650-3 1.000000-2 9.772647-3 1.258925-2 1.223513-2 1.584893-2 1.530160-2 1.995262-2 1.911023-2 2.511886-2 2.382371-2 3.162278-2 2.963846-2 3.981072-2 3.679066-2 5.011872-2 4.555742-2 6.309573-2 5.626653-2 7.943282-2 6.929027-2 1.000000-1 8.506023-2 1.258925-1 1.041330-1 1.584893-1 1.269741-1 1.995262-1 1.543757-1 2.511886-1 1.871058-1 3.162278-1 2.260299-1 3.981072-1 2.721709-1 5.011872-1 3.267458-1 6.309573-1 3.911593-1 7.943282-1 4.670305-1 1.000000+0 5.565987-1 1.258925+0 6.617207-1 1.584893+0 7.860838-1 1.995262+0 9.331781-1 2.511886+0 1.107764+0 3.162278+0 1.315500+0 3.981072+0 1.563486+0 5.011872+0 1.860384+0 6.309573+0 2.216580+0 7.943282+0 2.645174+0 1.000000+1 3.161750+0 1.258925+1 3.785962+0 1.584893+1 4.541015+0 1.995262+1 5.456266+0 2.511886+1 6.567096+0 3.162278+1 7.917100+0 3.981072+1 9.559562+0 5.011872+1 1.156035+1 6.309573+1 1.400008+1 7.943282+1 1.697774+1 1.000000+2 2.061514+1 1.258925+2 2.506245+1 1.584893+2 3.050381+1 1.995262+2 3.716741+1 2.511886+2 4.533260+1 3.162278+2 5.534521+1 3.981072+2 6.762974+1 5.011872+2 8.271305+1 6.309573+2 1.012426+2 7.943282+2 1.240188+2 1.000000+3 1.520280+2 1.258925+3 1.864937+2 1.584893+3 2.289223+2 1.995262+3 2.811705+2 2.511886+3 3.455615+2 3.162278+3 4.249316+2 3.981072+3 5.228229+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88189-10 1.995262-5 1.090609-9 2.511886-5 1.728471-9 3.162278-5 2.739481-9 3.981072-5 4.341847-9 5.011872-5 6.881028-9 6.309573-5 1.090491-8 7.943282-5 1.727472-8 1.000000-4 2.736977-8 1.258925-4 4.335634-8 1.584893-4 6.865612-8 1.995262-4 1.086551-7 2.511886-4 1.718617-7 3.162278-4 2.715110-7 3.981072-4 4.279804-7 5.011872-4 6.716941-7 6.309573-4 1.051700-6 7.943282-4 1.644829-6 1.000000-3 2.575428-6 1.258925-3 4.043927-6 1.584893-3 6.375629-6 1.995262-3 1.000824-5 2.511886-3 1.571726-5 3.162278-3 2.463951-5 3.981072-3 3.849539-5 5.011872-3 6.000453-5 6.309573-3 9.341722-5 7.943282-3 1.456322-4 1.000000-2 2.273531-4 1.258925-2 3.541246-4 1.584893-2 5.473274-4 1.995262-2 8.423920-4 2.511886-2 1.295159-3 3.162278-2 1.984318-3 3.981072-2 3.020061-3 5.011872-2 4.561302-3 6.309573-2 6.829201-3 7.943282-2 1.014256-2 1.000000-1 1.493977-2 1.258925-1 2.175955-2 1.584893-1 3.151525-2 1.995262-1 4.515057-2 2.511886-1 6.408282-2 3.162278-1 9.019785-2 3.981072-1 1.259363-1 5.011872-1 1.744414-1 6.309573-1 2.397981-1 7.943282-1 3.272978-1 1.000000+0 4.434013-1 1.258925+0 5.972047-1 1.584893+0 7.988094-1 1.995262+0 1.062084+0 2.511886+0 1.404122+0 3.162278+0 1.846778+0 3.981072+0 2.417586+0 5.011872+0 3.151488+0 6.309573+0 4.092994+0 7.943282+0 5.298109+0 1.000000+1 6.838250+0 1.258925+1 8.803292+0 1.584893+1 1.130792+1 1.995262+1 1.449636+1 2.511886+1 1.855177+1 3.162278+1 2.370568+1 3.981072+1 3.025115+1 5.011872+1 3.855837+1 6.309573+1 4.909565+1 7.943282+1 6.245509+1 1.000000+2 7.938486+1 1.258925+2 1.008301+2 1.584893+2 1.279855+2 1.995262+2 1.623588+2 2.511886+2 2.058560+2 3.162278+2 2.608826+2 3.981072+2 3.304774+2 5.011872+2 4.184742+2 6.309573+2 5.297147+2 7.943282+2 6.703094+2 1.000000+3 8.479720+2 1.258925+3 1.072432+3 1.584893+3 1.355971+3 1.995262+3 1.714092+3 2.511886+3 2.166325+3 3.162278+3 2.737346+3 3.981072+3 3.458249+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 3.800000-6 2.294960+6 4.216965-6 1.620373+6 4.623810-6 1.199014+6 5.011872-6 9.272019+5 5.432503-6 7.215856+5 5.888437-6 5.655127+5 6.382635-6 4.461267+5 6.918310-6 3.541894+5 7.500000-6 2.828630+5 8.222426-6 2.205911+5 9.015711-6 1.731663+5 1.000000-5 1.329150+5 1.135011-5 9.694824+4 1.333521-5 6.538353+4 1.414000-5 5.676514+4 1.414000-5 7.833738+7 1.440000-5 7.055512+7 1.480000-5 6.083445+7 1.531087-5 5.100253+7 1.590000-5 4.228198+7 1.640590-5 3.642590+7 1.698244-5 3.109405+7 1.770000-5 2.591491+7 1.850000-5 2.150428+7 1.927525-5 1.819990+7 1.928000-5 1.818229+7 1.928000-5 5.094888+7 1.950000-5 4.774175+7 1.990000-5 4.274977+7 2.018366-5 3.971243+7 2.020000-5 3.954723+7 2.065380-5 3.543231+7 2.110000-5 3.201468+7 2.113489-5 3.177512+7 2.162719-5 2.865305+7 2.213095-5 2.592931+7 2.238721-5 2.470673+7 2.270000-5 2.332602+7 2.344229-5 2.051063+7 2.371374-5 1.961791+7 2.426610-5 1.796642+7 2.454709-5 1.721637+7 2.519300-5 1.563768+7 2.540973-5 1.516253+7 2.610000-5 1.378330+7 2.691535-5 1.238915+7 2.730000-5 1.179452+7 2.754229-5 1.144713+7 2.851018-5 1.019820+7 2.884032-5 9.821457+6 3.019952-5 8.448702+6 3.054921-5 8.146188+6 3.230000-5 6.828200+6 3.235937-5 6.789328+6 3.264000-5 6.609503+6 3.264000-5 7.066501+6 3.330000-5 6.644765+6 3.349654-5 6.524920+6 3.427678-5 6.080160+6 3.507519-5 5.664275+6 3.550000-5 5.461033+6 3.630781-5 5.099408+6 3.715352-5 4.754165+6 3.801894-5 4.431351+6 4.000000-5 3.799396+6 4.220000-5 3.232596+6 4.265795-5 3.129035+6 4.400000-5 2.852253+6 4.466836-5 2.726816+6 4.623810-5 2.459884+6 4.731513-5 2.297112+6 4.841724-5 2.146672+6 4.897788-5 2.075433+6 5.011872-5 1.938940+6 5.188000-5 1.751499+6 5.370318-5 1.584718+6 5.432503-5 1.532954+6 5.559043-5 1.434465+6 5.623413-5 1.387832+6 5.754399-5 1.300161+6 5.956621-5 1.179528+6 6.025596-5 1.142051+6 6.165950-5 1.071612+6 6.352000-5 9.875365+5 6.352000-5 3.322798+6 6.356000-5 3.406795+6 6.370000-5 3.668396+6 6.385000-5 3.995814+6 6.400000-5 4.381956+6 6.415000-5 4.834063+6 6.430000-5 5.367956+6 6.450000-5 6.225720+6 6.470000-5 7.294693+6 6.493000-5 8.851460+6 6.500000-5 9.415220+6 6.515000-5 1.076108+7 6.540000-5 1.359271+7 6.560000-5 1.651752+7 6.570000-5 1.825268+7 6.577000-5 1.941969+7 6.600000-5 2.463943+7 6.606934-5 2.642009+7 6.650000-5 3.270650+7 6.657000-5 3.386172+7 6.710000-5 3.833716+7 6.715000-5 3.856863+7 6.780000-5 3.989157+7 6.868000-5 3.984415+7 6.873000-5 3.967191+7 6.873000-5 4.123395+7 6.876000-5 4.118478+7 6.890000-5 4.089805+7 6.905000-5 4.063381+7 6.918310-5 4.044412+7 6.925000-5 4.036213+7 6.941200-5 4.022298+7 6.955000-5 4.016967+7 6.975500-5 4.022844+7 6.998000-5 4.052252+7 7.000000-5 4.056362+7 7.015000-5 4.094518+7 7.022000-5 4.118212+7 7.040300-5 4.175391+7 7.050000-5 4.210124+7 7.080000-5 4.346220+7 7.090000-5 4.435796+7 7.100000-5 4.495901+7 7.110000-5 4.534261+7 7.220000-5 4.583081+7 7.232000-5 4.568645+7 7.244360-5 4.552155+7 7.357000-5 4.456553+7 7.413102-5 4.372637+7 7.500000-5 4.257218+7 7.510000-5 4.245015+7 7.520000-5 4.226725+7 7.560000-5 4.134175+7 7.620000-5 3.988509+7 7.673615-5 3.873503+7 7.690000-5 3.839429+7 7.700000-5 3.820026+7 7.762471-5 3.644230+7 7.780000-5 3.564957+7 7.852356-5 3.358840+7 7.920000-5 3.183992+7 7.950000-5 3.094494+7 8.000000-5 2.959825+7 8.035261-5 2.875832+7 8.060000-5 2.818629+7 8.128305-5 2.675623+7 8.190000-5 2.559168+7 8.222426-5 2.502663+7 8.239100-5 2.474189+7 8.270000-5 2.422901+7 8.400000-5 2.229043+7 8.413951-5 2.210105+7 8.570000-5 2.010926+7 8.609938-5 1.964612+7 8.709636-5 1.854522+7 8.810489-5 1.750653+7 9.120108-5 1.470933+7 9.440609-5 1.236288+7 9.660509-5 1.100721+7 9.800000-5 1.024031+7 1.011579-4 8.746795+6 1.023293-4 8.260919+6 1.035142-4 7.808014+6 1.040000-4 7.631169+6 1.080000-4 6.362359+6 1.109175-4 5.606962+6 1.122018-4 5.309676+6 1.150000-4 4.726279+6 1.174898-4 4.274435+6 1.198400-4 3.895992+6 1.230269-4 3.446907+6 1.273503-4 2.931407+6 1.303167-4 2.629845+6 1.318257-4 2.491330+6 1.333521-4 2.359457+6 1.364583-4 2.116901+6 1.428894-4 1.702667+6 1.439100-4 1.646656+6 1.439100-4 2.319164+6 1.446000-4 2.260223+6 1.454000-4 2.197453+6 1.462177-4 2.138344+6 1.470000-4 2.086380+6 1.481000-4 2.020687+6 1.488000-4 1.977985+6 1.505000-4 1.875379+6 1.513561-4 1.828314+6 1.520000-4 1.793900+6 1.531087-4 1.738277+6 1.540000-4 1.695152+6 1.566751-4 1.578014+6 1.570000-4 1.564529+6 1.603245-4 1.438308+6 1.621810-4 1.375369+6 1.640590-4 1.316231+6 1.650000-4 1.288543+6 1.678804-4 1.209260+6 1.690000-4 1.180844+6 1.720000-4 1.110267+6 1.737801-4 1.071947+6 1.740000-4 1.067396+6 1.780000-4 9.906395+5 1.800000-4 9.558793+5 1.810000-4 9.395256+5 1.810000-4 1.227589+6 1.820000-4 1.205712+6 1.840772-4 1.162430+6 1.850000-4 1.143928+6 1.862087-4 1.120705+6 1.883649-4 1.080991+6 1.900000-4 1.052781+6 1.927525-4 1.008491+6 1.950000-4 9.743780+5 1.980000-4 9.327764+5 2.000000-4 9.069865+5 2.018366-4 8.849883+5 2.041738-4 8.589142+5 2.060000-4 8.397611+5 2.089296-4 8.108455+5 2.113489-4 7.886445+5 2.137962-4 7.674759+5 2.150000-4 7.578462+5 2.162719-4 7.478928+5 2.190000-4 7.275996+5 2.213095-4 7.115504+5 2.238721-4 6.947353+5 2.240000-4 6.939315+5 2.264644-4 6.791601+5 2.290868-4 6.645318+5 2.300000-4 6.597143+5 2.318700-4 6.500618+5 2.323400-4 6.477301+5 2.323400-4 6.998071+5 2.329000-4 6.976077+5 2.338000-4 6.946736+5 2.344229-4 6.925132+5 2.350000-4 6.903858+5 2.355000-4 6.886351+5 2.370000-4 6.829608+5 2.371374-4 6.824061+5 2.385000-4 6.772637+5 2.400000-4 6.713273+5 2.405000-4 6.694329+5 2.426610-4 6.609680+5 2.430000-4 6.596281+5 2.454709-4 6.502671+5 2.483133-4 6.401388+5 2.511886-4 6.304743+5 2.540973-4 6.212886+5 2.570396-4 6.125298+5 2.580000-4 6.098288+5 2.600160-4 6.044278+5 2.620700-4 5.991967+5 2.620700-4 8.598351+5 2.622000-4 8.521918+5 2.626000-4 8.348930+5 2.630268-4 8.191431+5 2.635000-4 8.043389+5 2.639000-4 7.936925+5 2.643000-4 7.843437+5 2.648500-4 7.733210+5 2.652000-4 7.672571+5 2.657000-4 7.596231+5 2.660725-4 7.546287+5 2.662000-4 7.529545+5 2.670000-4 7.437058+5 2.678500-4 7.354369+5 2.685000-4 7.300391+5 2.691535-4 7.253321+5 2.693000-4 7.242966+5 2.699500-4 7.202607+5 2.699500-4 9.122181+5 2.700000-4 9.088730+5 2.700100-4 9.082172+5 2.703000-4 8.963778+5 2.706000-4 8.856468+5 2.709000-4 8.761507+5 2.710000-4 8.733250+5 2.713000-4 8.652936+5 2.718000-4 8.539351+5 2.722701-4 8.447945+5 2.728000-4 8.363942+5 2.730000-4 8.336044+5 2.732000-4 8.308623+5 2.736000-4 8.259424+5 2.737000-4 8.247956+5 2.745000-4 8.167747+5 2.750000-4 8.124250+5 2.753000-4 8.100435+5 2.762000-4 8.039747+5 2.765000-4 8.022396+5 2.770000-4 7.996768+5 2.780000-4 7.953990+5 2.790000-4 7.924012+5 2.795200-4 7.911304+5 2.800000-4 7.902177+5 2.807000-4 7.892920+5 2.815000-4 7.886839+5 2.818383-4 7.886076+5 2.823000-4 7.885390+5 2.830000-4 7.888926+5 2.840500-4 7.899499+5 2.845800-4 7.908426+5 2.858000-4 7.934698+5 2.860000-4 7.940212+5 2.873000-4 7.982053+5 2.875000-4 7.989637+5 2.884032-4 8.028116+5 2.890000-4 8.054217+5 2.905000-4 8.135550+5 2.908000-4 8.153489+5 2.917427-4 8.215721+5 2.920000-4 8.233449+5 2.930000-4 8.307661+5 2.935000-4 8.348077+5 2.951209-4 8.490441+5 2.970000-4 8.683077+5 2.980000-4 8.795599+5 2.993000-4 8.955607+5 3.015000-4 9.255043+5 3.019952-4 9.330483+5 3.040000-4 9.653054+5 3.054921-4 9.916425+5 3.059100-4 9.993275+5 3.065000-4 1.010537+6 3.100000-4 1.084384+6 3.130000-4 1.157857+6 3.140000-4 1.184644+6 3.162278-4 1.246708+6 3.180000-4 1.300196+6 3.200000-4 1.363158+6 3.210000-4 1.396494+6 3.220000-4 1.430000+6 3.235937-4 1.485206+6 3.240000-4 1.499788+6 3.260000-4 1.571898+6 3.273407-4 1.622136+6 3.290000-4 1.685079+6 3.300000-4 1.723856+6 3.320000-4 1.802007+6 3.335000-4 1.862385+6 3.350000-4 1.922788+6 3.370000-4 2.005243+6 3.380000-4 2.046300+6 3.410000-4 2.172506+6 3.450000-4 2.342269+6 3.467369-4 2.415175+6 3.485000-4 2.491802+6 3.500000-4 2.554507+6 3.507519-4 2.586608+6 3.515000-4 2.619008+6 3.530000-4 2.683647+6 3.550000-4 2.768369+6 3.565000-4 2.831826+6 3.590000-4 2.936325+6 3.600000-4 2.977759+6 3.630781-4 3.102740+6 3.640000-4 3.139823+6 3.650000-4 3.178114+6 3.672823-4 3.267327+6 3.690000-4 3.333146+6 3.715352-4 3.425832+6 3.720000-4 3.443081+6 3.740000-4 3.514781+6 3.760000-4 3.583304+6 3.780000-4 3.649894+6 3.801894-4 3.719263+6 3.835000-4 3.820716+6 3.845918-4 3.852198+6 3.850000-4 3.864020+6 3.890451-4 3.975521+6 3.910000-4 4.026303+6 3.935501-4 4.088554+6 3.950000-4 4.124228+6 3.970000-4 4.169506+6 4.000000-4 4.233502+6 4.027170-4 4.292102+6 4.030000-4 4.297653+6 4.073803-4 4.377603+6 4.100000-4 4.425823+6 4.120975-4 4.457314+6 4.168694-4 4.529365+6 4.180000-4 4.546528+6 4.200000-4 4.570078+6 4.216965-4 4.590033+6 4.265795-4 4.647699+6 4.350000-4 4.718949+6 4.365158-4 4.729862+6 4.415704-4 4.757057+6 4.430000-4 4.764706+6 4.466836-4 4.779521+6 4.470000-4 4.780783+6 4.500000-4 4.787876+6 4.550000-4 4.799712+6 4.600000-4 4.805136+6 4.623810-4 4.804535+6 4.677351-4 4.803147+6 4.731513-4 4.797046+6 4.786301-4 4.784015+6 4.841724-4 4.766677+6 4.897788-4 4.749394+6 4.930000-4 4.735698+6 5.011872-4 4.694982+6 5.069907-4 4.666592+6 5.080000-4 4.661694+6 5.188000-4 4.593888+6 5.248075-4 4.557147+6 5.308844-4 4.511598+6 5.370318-4 4.466513+6 5.432503-4 4.421748+6 5.450000-4 4.409319+6 5.495409-4 4.371908+6 5.500000-4 4.368161+6 5.559043-4 4.320456+6 5.623413-4 4.269605+6 5.650000-4 4.248946+6 5.659500-4 4.241244+6 5.659500-4 4.486309+6 5.688529-4 4.468769+6 5.734700-4 4.438667+6 5.754399-4 4.425931+6 5.821032-4 4.383914+6 5.888437-4 4.340772+6 5.900000-4 4.333574+6 5.950000-4 4.303063+6 5.956621-4 4.298634+6 5.976000-4 4.284874+6 5.976000-4 4.451110+6 5.989500-4 4.445909+6 6.100000-4 4.388196+6 6.130000-4 4.372503+6 6.165950-4 4.352128+6 6.180500-4 4.344026+6 6.200000-4 4.332737+6 6.237348-4 4.307571+6 6.309573-4 4.256871+6 6.350000-4 4.229235+6 6.370000-4 4.215246+6 6.382635-4 4.206074+6 6.430000-4 4.165824+6 6.531306-4 4.084723+6 6.606934-4 4.023200+6 6.683439-4 3.963123+6 6.700000-4 3.950356+6 6.760830-4 3.902446+6 6.850000-4 3.834225+6 6.930000-4 3.773008+6 7.079458-4 3.662274+6 7.150000-4 3.610921+6 7.244360-4 3.544332+6 7.300000-4 3.505860+6 7.328245-4 3.485986+6 7.413102-4 3.427057+6 7.500000-4 3.368663+6 7.585776-4 3.311365+6 7.673615-4 3.253960+6 7.762471-4 3.197700+6 7.800000-4 3.173694+6 7.852356-4 3.140519+6 7.900000-4 3.110855+6 7.943282-4 3.084132+6 8.100000-4 2.988473+6 8.222426-4 2.917082+6 8.228000-4 2.913775+6 8.228000-4 3.092160+6 8.317638-4 3.038795+6 8.413951-4 2.983266+6 8.511380-4 2.927500+6 8.609938-4 2.872974+6 8.709636-4 2.819179+6 8.810489-4 2.765925+6 8.850000-4 2.745114+6 9.015711-4 2.660320+6 9.120108-4 2.607871+6 9.225714-4 2.556591+6 9.440609-4 2.456929+6 9.500000-4 2.430000+6 9.549926-4 2.407542+6 9.660509-4 2.359061+6 9.700000-4 2.341866+6 9.850000-4 2.278069+6 9.885531-4 2.263376+6 9.926900-4 2.246450+6 9.926900-4 2.277091+6 1.000000-3 2.247670+6 1.011579-3 2.201786+6 1.023293-3 2.156180+6 1.035142-3 2.111367+6 1.047129-3 2.067037+6 1.059254-3 2.023799+6 1.071519-3 1.981235+6 1.083927-3 1.939542+6 1.090000-3 1.919655+6 1.096478-3 1.898662+6 1.122018-3 1.818414+6 1.130300-3 1.793021+6 1.130300-3 1.827172+6 1.150000-3 1.768817+6 1.161449-3 1.736330+6 1.174898-3 1.699130+6 1.190000-3 1.658279+6 1.202264-3 1.626154+6 1.216186-3 1.590503+6 1.240000-3 1.531831+6 1.244515-3 1.521123+6 1.273503-3 1.454890+6 1.300000-3 1.397789+6 1.303167-3 1.391209+6 1.318257-3 1.359942+6 1.333521-3 1.329377+6 1.350000-3 1.297412+6 1.380384-3 1.241591+6 1.400000-3 1.206883+6 1.400500-3 1.206018+6 1.412538-3 1.185473+6 1.428894-3 1.158043+6 1.445440-3 1.131308+6 1.450000-3 1.124116+6 1.479108-3 1.079902+6 1.500000-3 1.049527+6 1.513561-3 1.030377+6 1.531087-3 1.006268+6 1.548817-3 9.826227+5 1.550000-3 9.810766+5 1.566751-3 9.595718+5 1.584893-3 9.371108+5 1.610000-3 9.073965+5 1.640590-3 8.727911+5 1.650000-3 8.625568+5 1.659587-3 8.521435+5 1.690000-3 8.204048+5 1.698244-3 8.120704+5 1.717908-3 7.927150+5 1.730000-3 7.811622+5 1.737801-3 7.737735+5 1.757924-3 7.552099+5 1.770000-3 7.444055+5 1.798871-3 7.193768+5 1.819701-3 7.021373+5 1.840772-3 6.852108+5 1.850000-3 6.780011+5 1.862087-3 6.686853+5 1.883649-3 6.525515+5 1.905461-3 6.366685+5 1.927525-3 6.211067+5 1.950000-3 6.058592+5 1.972423-3 5.912049+5 1.995262-3 5.768253+5 2.000000-3 5.738892+5 2.018366-3 5.627184+5 2.041738-3 5.489915+5 2.065380-3 5.354290+5 2.089296-3 5.221888+5 2.113489-3 5.092181+5 2.187762-3 4.723461+5 2.220000-3 4.576047+5 2.238721-3 4.492985+5 2.264644-3 4.379864+5 2.290868-3 4.269744+5 2.300000-3 4.232361+5 2.344229-3 4.058202+5 2.371374-3 3.956748+5 2.400000-3 3.853762+5 2.450000-3 3.682944+5 2.454709-3 3.667324+5 2.483133-3 3.574316+5 2.511886-3 3.483508+5 2.570396-3 3.309021+5 2.630268-3 3.143547+5 2.650000-3 3.091763+5 2.660725-3 3.064068+5 2.691535-3 2.985429+5 2.754229-3 2.833956+5 2.786121-3 2.761131+5 2.818383-3 2.690195+5 2.851018-3 2.621165+5 2.884032-3 2.554045+5 2.900000-3 2.522461+5 2.917427-3 2.488486+5 2.951209-3 2.424561+5 2.999200-3 2.337236+5 2.999200-3 6.839989+5 3.000000-3 6.830476+5 3.019952-3 6.598929+5 3.054921-3 6.217922+5 3.138900-3 5.417892+5 3.138900-3 8.069613+5 3.150000-3 7.926597+5 3.161000-3 7.788134+5 3.162278-3 7.777535+5 3.166000-3 7.746787+5 3.172000-3 7.686460+5 3.174000-3 7.661870+5 3.198895-3 7.440332+5 3.220000-3 7.259870+5 3.235937-3 7.127804+5 3.273407-3 6.892335+5 3.300000-3 6.731814+5 3.311311-3 6.672563+5 3.320000-3 6.627541+5 3.349654-3 6.481417+5 3.388442-3 6.296907+5 3.400000-3 6.243339+5 3.427678-3 6.117554+5 3.467369-3 5.943186+5 3.507519-3 5.770875+5 3.548134-3 5.603453+5 3.589219-3 5.440610+5 3.630781-3 5.282591+5 3.644500-3 5.231853+5 3.644500-3 6.100910+5 3.672823-3 5.984737+5 3.750000-3 5.680323+5 3.758374-3 5.649434+5 3.801894-3 5.492498+5 3.845918-3 5.338524+5 3.900000-3 5.157074+5 3.935501-3 5.042715+5 4.000000-3 4.844102+5 4.027170-3 4.763361+5 4.120975-3 4.497162+5 4.168694-3 4.369847+5 4.216965-3 4.246215+5 4.265795-3 4.126070+5 4.312500-3 4.015435+5 4.312500-3 4.263332+5 4.315191-3 4.256951+5 4.365158-3 4.139982+5 4.415704-3 4.026347+5 4.450000-3 3.951783+5 4.466836-3 3.915746+5 4.518559-3 3.808013+5 4.570882-3 3.703400+5 4.580000-3 3.685487+5 4.619100-3 3.609448+5 4.619100-3 3.763927+5 4.623810-3 3.754719+5 4.650000-3 3.704099+5 4.677351-3 3.652244+5 4.700000-3 3.610058+5 4.731513-3 3.552314+5 4.800000-3 3.431422+5 4.841724-3 3.360709+5 4.897788-3 3.268231+5 4.900000-3 3.264660+5 4.954502-3 3.178235+5 4.970000-3 3.154254+5 5.011872-3 3.090851+5 5.128614-3 2.923716+5 5.150000-3 2.894435+5 5.188000-3 2.843022+5 5.248075-3 2.764353+5 5.308844-3 2.687978+5 5.370318-3 2.613016+5 5.432503-3 2.540251+5 5.495409-3 2.469746+5 5.500000-3 2.464715+5 5.559043-3 2.401293+5 5.623413-3 2.334645+5 5.688529-3 2.269891+5 5.754399-3 2.206697+5 5.821032-3 2.145371+5 5.888437-3 2.085409+5 5.956621-3 2.026929+5 6.025596-3 1.969994+5 6.095369-3 1.914744+5 6.165950-3 1.861107+5 6.237348-3 1.808618+5 6.309573-3 1.757679+5 6.382635-3 1.708189+5 6.400000-3 1.696723+5 6.500000-3 1.632354+5 6.531306-3 1.612900+5 6.683439-3 1.522357+5 6.760830-3 1.479028+5 6.839116-3 1.437003+5 6.918310-3 1.396071+5 7.000000-3 1.355607+5 7.079458-3 1.317898+5 7.161434-3 1.280529+5 7.244360-3 1.244248+5 7.328245-3 1.209057+5 7.500000-3 1.141395+5 7.585776-3 1.109459+5 7.673615-3 1.078001+5 7.762471-3 1.047260+5 7.852356-3 1.017197+5 7.943282-3 9.880294+4 8.128305-3 9.319032+4 8.317638-3 8.790645+4 8.511380-3 8.291497+4 8.609938-3 8.053003+4 8.709636-3 7.820925+4 8.810489-3 7.595701+4 8.912509-3 7.376613+4 9.000000-3 7.194973+4 9.015711-3 7.163036+4 9.440609-3 6.371757+4 9.549926-3 6.188756+4 9.772372-3 5.837504+4 9.800000-3 5.795897+4 9.885531-3 5.668107+4 1.000000-2 5.503248+4 1.011579-2 5.342835+4 1.023293-2 5.186583+4 1.059254-2 4.745994+4 1.071519-2 4.608064+4 1.083927-2 4.474199+4 1.096478-2 4.343794+4 1.109175-2 4.217353+4 1.122018-2 4.094634+4 1.135011-2 3.974979+4 1.148154-2 3.858562+4 1.161449-2 3.745715+4 1.190000-2 3.518863+4 1.202264-2 3.427223+4 1.216186-2 3.327148+4 1.230269-2 3.229711+4 1.258925-2 3.042533+4 1.273503-2 2.953180+4 1.288250-2 2.866247+4 1.300000-2 2.799591+4 1.303167-2 2.781954+4 1.318257-2 2.700057+4 1.333521-2 2.620521+4 1.364583-2 2.468706+4 1.380384-2 2.396167+4 1.412538-2 2.257074+4 1.445440-2 2.125820+4 1.450000-2 2.108488+4 1.462177-2 2.062997+4 1.479108-2 2.002050+4 1.496236-2 1.942986+4 1.500000-2 1.930340+4 1.503400-2 1.919017+4 1.503400-2 4.679853+4 1.514000-2 4.598580+4 1.531087-2 4.471609+4 1.548817-2 4.335768+4 1.566751-2 4.203439+4 1.584893-2 4.075218+4 1.603245-2 3.950950+4 1.659587-2 3.600811+4 1.698244-2 3.385031+4 1.717908-2 3.282014+4 1.730000-2 3.219738+4 1.737801-2 3.180418+4 1.757924-2 3.081990+4 1.778279-2 2.986528+4 1.797100-2 2.901430+4 1.797100-2 4.086398+4 1.798871-2 4.073461+4 1.802600-2 4.046403+4 1.809000-2 4.003647+4 1.815000-2 3.972576+4 1.840772-2 3.827421+4 1.850000-2 3.777245+4 1.863000-2 3.708410+4 1.863000-2 4.284372+4 1.885000-2 4.160417+4 1.905461-2 4.048648+4 1.927525-2 3.932838+4 1.930000-2 3.920144+4 1.949845-2 3.821290+4 1.960000-2 3.772087+4 1.972423-2 3.712194+4 2.000000-2 3.583886+4 2.018366-2 3.501772+4 2.020000-2 3.494589+4 2.041738-2 3.402030+4 2.065380-2 3.303664+4 2.089296-2 3.208221+4 2.100000-2 3.166759+4 2.187762-2 2.850756+4 2.213095-2 2.767859+4 2.238721-2 2.687438+4 2.264644-2 2.608801+4 2.290868-2 2.532343+4 2.300000-2 2.506452+4 2.317395-2 2.458139+4 2.398833-2 2.249066+4 2.426610-2 2.183529+4 2.454709-2 2.119907+4 2.483133-2 2.058165+4 2.500000-2 2.022448+4 2.511886-2 1.997798+4 2.540973-2 1.938953+4 2.570396-2 1.881891+4 2.600160-2 1.826550+4 2.630268-2 1.772746+4 2.660725-2 1.720555+4 2.691535-2 1.669938+4 2.754229-2 1.572843+4 2.786121-2 1.526280+4 2.818383-2 1.481132+4 2.851018-2 1.436964+4 2.884032-2 1.394150+4 2.900000-2 1.374080+4 2.917427-2 1.352619+4 2.951209-2 1.312325+4 2.985383-2 1.273048+4 3.000000-2 1.256751+4 3.019952-2 1.234923+4 3.054921-2 1.197922+4 3.162278-2 1.093592+4 3.198895-2 1.060918+4 3.273407-2 9.985413+3 3.311311-2 9.687781+3 3.349654-2 9.399254+3 3.388442-2 9.119475+3 3.427678-2 8.848250+3 3.467369-2 8.583184+3 3.507519-2 8.325510+3 3.589219-2 7.833703+3 3.672823-2 7.368645+3 3.715352-2 7.145336+3 3.801894-2 6.719207+3 3.890451-2 6.319082+3 3.935501-2 6.128222+3 3.981072-2 5.943272+3 4.000000-2 5.868748+3 4.027170-2 5.764045+3 4.073803-2 5.589773+3 4.120975-2 5.420894+3 4.315191-2 4.793987+3 4.466836-2 4.370885+3 4.518559-2 4.237864+3 4.570882-2 4.108964+3 4.677351-2 3.863083+3 4.731513-2 3.745613+3 4.786301-2 3.630922+3 4.841724-2 3.519811+3 4.897788-2 3.412177+3 5.069907-2 3.108958+3 5.128614-2 3.014118+3 5.308844-2 2.746969+3 5.370318-2 2.663379+3 5.432503-2 2.582084+3 5.495409-2 2.503249+3 5.500000-2 2.497626+3 5.559043-2 2.426542+3 5.623413-2 2.352136+3 5.688529-2 2.279654+3 5.821032-2 2.141460+3 5.888437-2 2.075581+3 6.165950-2 1.832113+3 6.237348-2 1.775941+3 6.309573-2 1.721527+3 6.382635-2 1.668805+3 6.456542-2 1.617501+3 6.531306-2 1.567755+3 6.606934-2 1.519565+3 6.683439-2 1.472798+3 6.760830-2 1.427495+3 6.839116-2 1.383497+3 7.000000-2 1.298587+3 7.328245-2 1.146434+3 7.413102-2 1.110956+3 7.498942-2 1.076595+3 7.585776-2 1.043317+3 7.673615-2 1.011087+3 7.762471-2 9.798427+2 7.852356-2 9.495769+2 7.943282-2 9.202629+2 8.000000-2 9.026083+2 8.035261-2 8.918557+2 8.128305-2 8.643044+2 8.222426-2 8.376190+2 8.317638-2 8.117723+2 8.511380-2 7.624745+2 8.609938-2 7.389800+2 8.709636-2 7.160917+2 8.810489-2 6.939235+2 9.225714-2 6.117889+2 9.549926-2 5.567336+2 9.660509-2 5.395185+2 9.885531-2 5.066404+2 1.011580-1 4.757972+2 1.015200-1 4.711865+2 1.015200-1 2.114165+3 1.023293-1 2.070806+3 1.035142-1 2.009430+3 1.040000-1 1.984995+3 1.047129-1 1.952512+3 1.060000-1 1.895753+3 1.071519-1 1.842201+3 1.083927-1 1.786826+3 1.090000-1 1.760559+3 1.096478-1 1.734815+3 1.135011-1 1.592119+3 1.148154-1 1.545211+3 1.188502-1 1.412653+3 1.216186-1 1.330665+3 1.230269-1 1.291480+3 1.244515-1 1.253411+3 1.258925-1 1.216471+3 1.273503-1 1.180621+3 1.288250-1 1.146050+3 1.303167-1 1.112497+3 1.348963-1 1.017635+3 1.396368-1 9.308941+2 1.412538-1 9.036605+2 1.428894-1 8.772288+2 1.450000-1 8.446854+2 1.462177-1 8.264242+2 1.531088-1 7.327338+2 1.548817-1 7.110263+2 1.584893-1 6.695040+2 1.603245-1 6.496721+2 1.621810-1 6.304291+2 1.659587-1 5.936402+2 1.678804-1 5.760613+2 1.698244-1 5.590041+2 1.717908-1 5.424544+2 1.778279-1 4.956938+2 1.819701-1 4.667871+2 1.840772-1 4.529744+2 1.862087-1 4.395718+2 1.883649-1 4.265679+2 1.905461-1 4.139495+2 1.927525-1 4.017069+2 1.949845-1 3.898386+2 1.972423-1 3.783223+2 2.000000-1 3.648864+2 2.018366-1 3.563029+2 2.041738-1 3.457794+2 2.089296-1 3.256581+2 2.213095-1 2.803396+2 2.238721-1 2.720645+2 2.264644-1 2.640377+2 2.290868-1 2.562482+2 2.317395-1 2.486900+2 2.344229-1 2.413551+2 2.371374-1 2.342410+2 2.398833-1 2.273370+2 2.426610-1 2.207011+2 2.483133-1 2.080063+2 2.511886-1 2.019360+2 2.540973-1 1.960430+2 2.570396-1 1.903228+2 2.600160-1 1.847712+2 2.630268-1 1.793844+2 2.660725-1 1.741549+2 2.691535-1 1.690782+2 2.722701-1 1.641505+2 2.786121-1 1.547331+2 2.818383-1 1.502323+2 2.851018-1 1.458626+2 2.884032-1 1.416208+2 2.900000-1 1.396307+2 2.917427-1 1.375317+2 2.951209-1 1.335866+2 2.985383-1 1.297548+2 3.019952-1 1.260351+2 3.054921-1 1.224223+2 3.090295-1 1.189132+2 3.126079-1 1.155052+2 3.162278-1 1.121951+2 3.198895-1 1.089803+2 3.235937-1 1.058588+2 3.273407-1 1.028291+2 3.311311-1 9.988615+1 3.349654-1 9.702757+1 3.388442-1 9.425566+1 3.427678-1 9.156452+1 3.507519-1 8.649866+1 3.548134-1 8.407230+1 3.630781-1 7.942233+1 3.715352-1 7.502995+1 3.758374-1 7.292744+1 3.801894-1 7.088394+1 3.845918-1 6.889983+1 3.890451-1 6.697182+1 3.935501-1 6.509779+1 3.981072-1 6.330712+1 4.000000-1 6.258526+1 4.027170-1 6.156933+1 4.073803-1 5.987931+1 4.120975-1 5.823578+1 4.168694-1 5.663740+1 4.216965-1 5.508297+1 4.265795-1 5.357245+1 4.365158-1 5.067620+1 4.415705-1 4.928762+1 4.466836-1 4.793741+1 4.518559-1 4.662501+1 4.570882-1 4.537246+1 4.623810-1 4.415362+1 4.731513-1 4.181801+1 4.786301-1 4.069702+1 4.954502-1 3.751542+1 5.000000-1 3.671610+1 5.011872-1 3.651152+1 5.069907-1 3.553460+1 5.128614-1 3.458386+1 5.188000-1 3.367834+1 5.308844-1 3.193794+1 5.370318-1 3.110223+1 5.495409-1 2.950066+1 5.559043-1 2.873121+1 5.623413-1 2.798200+1 5.688529-1 2.725237+1 5.821032-1 2.584983+1 5.888437-1 2.518979+1 5.956621-1 2.454742+1 6.000000-1 2.415101+1 6.025596-1 2.392145+1 6.095369-1 2.331200+1 6.165950-1 2.271977+1 6.237348-1 2.214261+1 6.309573-1 2.158026+1 6.382635-1 2.103220+1 6.531306-1 1.997759+1 6.606935-1 1.947057+1 6.683439-1 1.898684+1 6.760830-1 1.851513+1 6.839117-1 1.805595+1 6.918310-1 1.760819+1 6.998420-1 1.717156+1 7.079458-1 1.674689+1 7.161434-1 1.633273+1 7.244360-1 1.592885+1 7.328245-1 1.553519+1 7.413102-1 1.515126+1 7.498942-1 1.477682+1 7.585776-1 1.442008+1 7.673615-1 1.407196+1 7.762471-1 1.373244+1 7.852356-1 1.340123+1 8.035261-1 1.276261+1 8.222427-1 1.215626+1 8.413951-1 1.157874+1 8.511380-1 1.130713+1 8.609938-1 1.104189+1 8.709636-1 1.078289+1 8.810489-1 1.053009+1 8.912509-1 1.028345+1 9.015711-1 1.004260+1 9.120108-1 9.807403+0 9.225714-1 9.578097+0 9.332543-1 9.354154+0 9.440609-1 9.136140+0 9.549926-1 8.928650+0 9.660509-1 8.725894+0 9.772372-1 8.527911+0 9.885531-1 8.334593+0 1.000000+0 8.145963+0 1.011579+0 7.961611+0 1.023293+0 7.781420+0 1.035142+0 7.605497+0 1.047129+0 7.433986+0 1.059254+0 7.266355+0 1.071519+0 7.102510+0 1.083927+0 6.942384+0 1.096478+0 6.786043+0 1.122018+0 6.488651+0 1.135011+0 6.344908+0 1.148154+0 6.204366+0 1.161449+0 6.066939+0 1.174898+0 5.932585+0 1.188502+0 5.801231+0 1.202264+0 5.672944+0 1.216186+0 5.547986+0 1.230269+0 5.425782+0 1.244515+0 5.306271+0 1.250000+0 5.261319+0 1.258925+0 5.189418+0 1.273503+0 5.078313+0 1.288250+0 4.969590+0 1.303167+0 4.863201+0 1.318257+0 4.759171+0 1.333521+0 4.657443+0 1.348963+0 4.557887+0 1.364583+0 4.460556+0 1.380384+0 4.365591+0 1.396368+0 4.272647+0 1.412538+0 4.181707+0 1.428894+0 4.092719+0 1.462177+0 3.924729+0 1.479108+0 3.843357+0 1.500000+0 3.746519+0 1.513561+0 3.685717+0 1.531087+0 3.609380+0 1.548817+0 3.534868+0 1.603245+0 3.320599+0 1.621810+0 3.253946+0 1.640590+0 3.188631+0 1.659587+0 3.124646+0 1.678804+0 3.061946+0 1.698244+0 3.000516+0 1.717908+0 2.940368+0 1.737801+0 2.881434+0 1.757924+0 2.823879+0 1.778279+0 2.767556+0 1.798871+0 2.712353+0 1.819701+0 2.658252+0 1.840772+0 2.606738+0 1.862087+0 2.556222+0 1.883649+0 2.506700+0 1.905461+0 2.458137+0 1.927525+0 2.410527+0 1.949845+0 2.363875+0 1.972423+0 2.318137+0 1.995262+0 2.273462+0 2.000000+0 2.264374+0 2.018366+0 2.229689+0 2.044000+0 2.182673+0 2.065380+0 2.144655+0 2.113489+0 2.064953+0 2.137962+0 2.026231+0 2.187762+0 1.950952+0 2.213095+0 1.914375+0 2.238721+0 1.878510+0 2.264644+0 1.843324+0 2.290868+0 1.808919+0 2.317395+0 1.775186+0 2.344229+0 1.742082+0 2.371374+0 1.709596+0 2.426610+0 1.647997+0 2.454709+0 1.618043+0 2.511886+0 1.559760+0 2.540973+0 1.531415+0 2.570396+0 1.503606+0 2.600160+0 1.476307+0 2.630268+0 1.449602+0 2.660725+0 1.423403+0 2.691535+0 1.397678+0 2.722701+0 1.372418+0 2.786121+0 1.324524+0 2.818383+0 1.301214+0 2.884032+0 1.255819+0 2.917427+0 1.233723+0 2.951209+0 1.212032+0 3.000000+0 1.181802+0 3.019952+0 1.169843+0 3.054921+0 1.149380+0 3.090295+0 1.129275+0 3.126079+0 1.109521+0 3.198895+0 1.072089+0 3.235937+0 1.053854+0 3.311311+0 1.018311+0 3.349654+0 1.000994+0 3.427678+0 9.672646-1 3.467369+0 9.508320-1 3.507519+0 9.347388-1 3.548134+0 9.189326-1 3.589219+0 9.033939-1 3.630781+0 8.881175-1 3.715352+0 8.591200-1 3.758374+0 8.449823-1 3.845918+0 8.174013-1 3.890451+0 8.039533-1 4.000000+0 7.724429-1 4.027170+0 7.649521-1 4.073803+0 7.524260-1 4.120975+0 7.401167-1 4.168694+0 7.280086-1 4.216965+0 7.160987-1 4.315191+0 6.934654-1 4.365158+0 6.824211-1 4.415704+0 6.715533-1 4.518559+0 6.503343-1 4.570882+0 6.399795-1 4.677351+0 6.197775-1 4.731513+0 6.099189-1 4.786301+0 6.002539-1 4.841724+0 5.907508-1 4.897788+0 5.813984-1 4.954502+0 5.721939-1 5.069907+0 5.546915-1 5.128614+0 5.461441-1 5.188000+0 5.377290-1 5.308844+0 5.212858-1 5.370318+0 5.132552-1 5.432503+0 5.053484-1 5.559043+0 4.899096-1 5.623413+0 4.823697-1 5.688529+0 4.749730-1 5.754399+0 4.676963-1 5.821032+0 4.605312-1 5.888437+0 4.534757-1 6.025596+0 4.400398-1 6.095369+0 4.334734-1 6.165950+0 4.270053-1 6.309573+0 4.143575-1 6.382635+0 4.081760-1 6.456542+0 4.020867-1 6.606934+0 3.901877-1 6.683439+0 3.843721-1 6.760830+0 3.786637-1 6.839116+0 3.730450-1 6.918310+0 3.675096-1 7.000000+0 3.619503-1 7.079458+0 3.568161-1 7.244360+0 3.465671-1 7.328245+0 3.415548-1 7.413102+0 3.366151-1 7.585776+0 3.269493-1 7.673615+0 3.222219-1 7.762471+0 3.175628-1 7.943282+0 3.084523-1 8.035261+0 3.039964-1 8.128305+0 2.996204-1 8.222427+0 2.953111-1 8.317638+0 2.910639-1 8.413951+0 2.868778-1 8.511380+0 2.828507-1 8.810489+0 2.711053-1 8.912509+0 2.673004-1 9.015711+0 2.635491-1 9.225714+0 2.562038-1 9.332543+0 2.526088-1 9.549926+0 2.455697-1 9.772372+0 2.387315-1 9.885531+0 2.353849-1 1.000000+1 2.320971-1 1.011579+1 2.288581-1 1.023293+1 2.256641-1 1.035142+1 2.225883-1 1.059254+1 2.165616-1 1.071519+1 2.136104-1 1.083927+1 2.106993-1 1.122018+1 2.022025-1 1.135011+1 1.994473-1 1.161449+1 1.940493-1 1.202264+1 1.862252-1 1.230269+1 1.811884-1 1.244515+1 1.787218-1 1.258925+1 1.762984-1 1.273503+1 1.739578-1 1.288250+1 1.716487-1 1.303167+1 1.693704-1 1.400000+1 1.558512-1 1.428894+1 1.522001-1 1.479108+1 1.462207-1 1.513561+1 1.423655-1 1.531087+1 1.404772-1 1.548817+1 1.386139-1 1.566751+1 1.367801-1 1.584893+1 1.349726-1 1.603245+1 1.332292-1 1.621810+1 1.315087-1 1.640590+1 1.298104-1 1.778279+1 1.185215-1 1.800000+1 1.169084-1 1.840772+1 1.139898-1 1.862087+1 1.125181-1 1.905461+1 1.096330-1 1.927525+1 1.082183-1 1.972423+1 1.054505-1 2.000000+1 1.038176-1 2.018366+1 1.027564-1 2.041738+1 1.014605-1 2.089296+1 9.891803-2 2.137962+1 9.643937-2 2.371374+1 8.603199-2 2.400000+1 8.490193-2 2.454709+1 8.281918-2 2.483133+1 8.177514-2 2.570396+1 7.872288-2 2.600160+1 7.773331-2 2.630268+1 7.675629-2 2.660725+1 7.579250-2 2.691535+1 7.484080-2 2.722701+1 7.391859-2 2.754229+1 7.300786-2 2.818383+1 7.121998-2 2.884032+1 6.947593-2 3.235937+1 6.137590-2 3.273407+1 6.061987-2 3.388442+1 5.840716-2 3.427678+1 5.768769-2 3.548134+1 5.558301-2 3.630781+1 5.422551-2 3.672823+1 5.355989-2 3.715352+1 5.290244-2 3.758374+1 5.225306-2 3.801894+1 5.162219-2 3.845918+1 5.099903-2 3.981072+1 4.917432-2 4.073803+1 4.799431-2 4.677351+1 4.148571-2 4.731513+1 4.098498-2 4.897788+1 3.951880-2 5.000000+1 3.866719-2 5.188000+1 3.719135-2 5.248075+1 3.674341-2 5.370318+1 3.586370-2 5.432503+1 3.543213-2 5.559043+1 3.458450-2 5.623413+1 3.416833-2 5.688529+1 3.376309-2 5.754399+1 3.336271-2 6.025596+1 3.180809-2 6.165950+1 3.105819-2 7.079458+1 2.691583-2 7.161434+1 2.659669-2 7.498942+1 2.535752-2 7.673615+1 2.475976-2 8.035261+1 2.360656-2 8.128305+1 2.332714-2 8.317638+1 2.277821-2 8.413951+1 2.250862-2 8.511380+1 2.224238-2 8.810489+1 2.146241-2 9.015711+1 2.095769-2 9.120108+1 2.071249-2 9.225714+1 2.047017-2 9.332543+1 2.023069-2 1.000000+2 1.885151-2 1.035142+2 1.819760-2 1.273503+2 1.472390-2 1.288250+2 1.455166-2 1.364583+2 1.372023-2 1.396368+2 1.340112-2 1.412538+2 1.324435-2 1.462177+2 1.278511-2 1.479108+2 1.263577-2 1.513561+2 1.234231-2 1.531087+2 1.219815-2 1.548817+2 1.205569-2 1.566751+2 1.191495-2 1.603245+2 1.163838-2 1.621810+2 1.150251-2 1.640590+2 1.136822-2 1.659587+2 1.123663-2 1.698244+2 1.097802-2 1.798871+2 1.035723-2 1.862087+2 1.000174-2 2.540973+2 7.304051-3 2.570396+2 7.219515-3 2.722701+2 6.811287-3 2.786121+2 6.654533-3 2.818383+2 6.577513-3 2.917427+2 6.351793-3 2.951209+2 6.278341-3 3.019952+2 6.133973-3 3.054921+2 6.063040-3 3.090295+2 5.992937-3 3.126079+2 5.923656-3 3.198895+2 5.787488-3 3.235937+2 5.720582-3 3.273407+2 5.654451-3 3.311311+2 5.589429-3 3.388442+2 5.461624-3 3.589219+2 5.154756-3 3.715352+2 4.978975-3 5.069907+2 3.643568-3 5.128614+2 3.601674-3 5.432503+2 3.399317-3 5.559043+2 3.321594-3 5.623413+2 3.283402-3 1.161449+3 1.584651-3 1.174898+3 1.566440-3 1.202264+3 1.530644-3 1.216186+3 1.513053-3 1.230269+3 1.495666-3 1.244515+3 1.478481-3 1.273503+3 1.444702-3 1.288250+3 1.428102-3 1.303167+3 1.411694-3 1.318257+3 1.395525-3 1.348963+3 1.363743-3 1.428894+3 1.287417-3 1.479108+3 1.243689-3 2.213095+3 8.310387-4 2.238721+3 8.215212-4 4.027170+3 4.565618-4 4.073803+3 4.513332-4 4.315191+3 4.260748-4 7.328245+4 2.505676-5 1.000000+5 1.835993-5 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 3.800000-6 3.800000-6 1.414000-5 3.800000-6 1.414000-5 1.413251-5 1.928000-5 1.412472-5 1.928000-5 1.744022-5 2.065380-5 1.725455-5 2.270000-5 1.710803-5 2.610000-5 1.701459-5 3.264000-5 1.700140-5 3.264000-5 1.801276-5 3.801894-5 1.803965-5 5.188000-5 1.799116-5 6.165950-5 1.805522-5 6.352000-5 1.807902-5 6.352000-5 5.001493-5 6.356000-5 5.037081-5 6.400000-5 5.349011-5 6.430000-5 5.543722-5 6.470000-5 5.767282-5 6.500000-5 5.904707-5 6.540000-5 6.047277-5 6.577000-5 6.141942-5 6.606934-5 6.199485-5 6.657000-5 6.235406-5 6.780000-5 6.257792-5 6.873000-5 6.260680-5 6.873000-5 6.283876-5 6.975500-5 6.315983-5 7.110000-5 6.425141-5 7.244360-5 6.477073-5 7.520000-5 6.529176-5 7.762471-5 6.541104-5 8.413951-5 6.494341-5 1.080000-4 6.393068-5 1.273503-4 6.280169-5 1.439100-4 6.145873-5 1.439100-4 8.018881-5 1.462177-4 7.972962-5 1.488000-4 7.972365-5 1.531087-4 7.956487-5 1.603245-4 7.994378-5 1.740000-4 8.144051-5 1.810000-4 8.228323-5 1.810000-4 9.285615-5 1.980000-4 9.352752-5 2.162719-4 9.372159-5 2.323400-4 9.341976-5 2.323400-4 9.961046-5 2.371374-4 1.002635-4 2.454709-4 1.004175-4 2.620700-4 1.000334-4 2.620700-4 1.171196-4 2.630268-4 1.153125-4 2.643000-4 1.136868-4 2.662000-4 1.122069-4 2.685000-4 1.111542-4 2.699500-4 1.107444-4 2.699500-4 1.200782-4 2.710000-4 1.186300-4 2.728000-4 1.172197-4 2.753000-4 1.162588-4 2.790000-4 1.157841-4 2.840500-4 1.161510-4 2.890000-4 1.173458-4 2.951209-4 1.197743-4 3.019952-4 1.234312-4 3.180000-4 1.331616-4 3.260000-4 1.372810-4 3.335000-4 1.403194-4 3.410000-4 1.426454-4 3.530000-4 1.452939-4 3.672823-4 1.472965-4 3.850000-4 1.487326-4 4.180000-4 1.499896-4 4.786301-4 1.506316-4 5.659500-4 1.505726-4 5.659500-4 1.562780-4 5.976000-4 1.580205-4 5.976000-4 1.620024-4 6.237348-4 1.642125-4 6.430000-4 1.651156-4 8.228000-4 1.713036-4 8.228000-4 1.810384-4 9.660509-4 1.866353-4 9.926900-4 1.875927-4 9.926900-4 1.902449-4 1.130300-3 1.953044-4 1.130300-3 1.996120-4 1.350000-3 2.075028-4 1.610000-3 2.152140-4 1.950000-3 2.234892-4 2.344229-3 2.312067-4 2.818383-3 2.386817-4 2.999200-3 2.411341-4 2.999200-3 3.628507-4 3.138900-3 3.548495-4 3.138900-3 3.783351-4 3.235937-3 3.759825-4 3.644500-3 3.755236-4 3.644500-3 4.042361-4 4.312500-3 4.077707-4 4.312500-3 4.220368-4 4.619100-3 4.250146-4 4.619100-3 4.382189-4 6.165950-3 4.544584-4 7.943282-3 4.692334-4 1.023293-2 4.840936-4 1.303167-2 4.980229-4 1.503400-2 5.060078-4 1.503400-2 6.233601-4 1.797100-2 6.264348-4 1.797100-2 6.483384-4 1.863000-2 6.487747-4 1.863000-2 6.966901-4 2.570396-2 7.137876-4 3.507519-2 7.301323-4 4.841724-2 7.471483-4 6.606934-2 7.629503-4 8.810489-2 7.768286-4 1.015200-1 7.832649-4 1.015200-1 7.136770-4 2.511886-1 7.183929-4 6.839117-1 7.211100-4 1.000000+5 7.213925-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 3.800000-6 0.0 1.439100-4 0.0 1.439100-4 2.85443-10 1.446000-4 2.83138-10 1.454000-4 2.81525-10 1.462177-4 2.80817-10 1.470000-4 2.81057-10 1.481000-4 2.83025-10 1.488000-4 2.83458-10 1.505000-4 2.83157-10 1.520000-4 2.84269-10 1.540000-4 2.86957-10 1.570000-4 2.92253-10 1.603245-4 2.99573-10 1.650000-4 3.11618-10 1.720000-4 3.31222-10 1.810000-4 3.57037-10 1.810000-4 1.693569-9 1.883649-4 1.676718-9 1.950000-4 1.653645-9 2.018366-4 1.626771-9 2.089296-4 1.601498-9 2.162719-4 1.567710-9 2.290868-4 1.495287-9 2.323400-4 1.475718-9 2.323400-4 1.519213-9 2.385000-4 1.490517-9 2.620700-4 1.359310-9 2.620700-4 2.371415-8 2.622000-4 2.328104-8 2.626000-4 2.229440-8 2.630268-4 2.137336-8 2.635000-4 2.049024-8 2.639000-4 1.984791-8 2.643000-4 1.928026-8 2.648500-4 1.861082-8 2.652000-4 1.824494-8 2.657000-4 1.778934-8 2.662000-4 1.739695-8 2.670000-4 1.685981-8 2.678500-4 1.639176-8 2.685000-4 1.610046-8 2.693000-4 1.580785-8 2.699500-4 1.561520-8 2.699500-4 1.271784-8 2.703000-4 1.281254-8 2.713000-4 1.295246-8 2.732000-4 1.307885-8 2.753000-4 1.318852-8 2.770000-4 1.332047-8 2.780000-4 1.341201-8 2.800000-4 1.367959-8 2.807000-4 1.378697-8 2.823000-4 1.409378-8 2.840500-4 1.450432-8 2.860000-4 1.506002-8 2.875000-4 1.554843-8 2.890000-4 1.608507-8 2.908000-4 1.679377-8 2.935000-4 1.797002-8 2.951209-4 1.872076-8 2.980000-4 2.014932-8 3.019952-4 2.229334-8 3.100000-4 2.678265-8 3.140000-4 2.895009-8 3.180000-4 3.091120-8 3.210000-4 3.221228-8 3.240000-4 3.336371-8 3.273407-4 3.446875-8 3.300000-4 3.523223-8 3.335000-4 3.610024-8 3.380000-4 3.700443-8 3.410000-4 3.753749-8 3.467369-4 3.835111-8 3.530000-4 3.903913-8 3.600000-4 3.957527-8 3.690000-4 4.000972-8 3.835000-4 4.034477-8 4.100000-4 4.057112-8 4.500000-4 4.055682-8 5.559043-4 4.017440-8 5.659500-4 4.013099-8 5.659500-4 4.143620-8 5.976000-4 4.173952-8 5.976000-4 4.579132-8 6.200000-4 4.700819-8 6.382635-4 4.740474-8 6.850000-4 4.809450-8 8.228000-4 5.057016-8 8.228000-4 6.165744-8 8.850000-4 6.346873-8 9.926900-4 6.618657-8 9.926900-4 6.932484-8 1.130300-3 7.320955-8 1.130300-3 7.865050-8 1.244515-3 8.232885-8 1.412538-3 8.718822-8 1.640590-3 9.313749-8 1.927525-3 9.972077-8 2.187762-3 1.049563-7 2.511886-3 1.107733-7 2.900000-3 1.169068-7 2.999200-3 1.183316-7 2.999200-3 1.530031-7 3.138900-3 1.512964-7 3.138900-3 3.715845-5 3.162278-3 3.709718-5 3.166000-3 3.701804-5 3.174000-3 3.665608-5 3.235937-3 3.478475-5 3.300000-3 3.412494-5 3.467369-3 3.399607-5 3.644500-3 3.398579-5 3.644500-3 3.364737-5 4.168694-3 3.333982-5 4.312500-3 3.323401-5 4.312500-3 3.710782-5 4.619100-3 3.734856-5 4.619100-3 3.788725-5 5.821032-3 3.866350-5 7.673615-3 3.953490-5 9.549926-3 4.024112-5 1.258925-2 4.107887-5 1.503400-2 4.160582-5 1.503400-2 2.999506-3 1.548817-2 3.001558-3 1.797100-2 2.976197-3 1.797100-2 4.404372-3 1.809000-2 4.395176-3 1.863000-2 4.404594-3 1.863000-2 4.590059-3 2.290868-2 4.635736-3 2.851018-2 4.670812-3 3.981072-2 4.699917-3 6.456542-2 4.716067-3 1.015200-1 4.714982-3 1.015200-1 7.158227-2 1.216186-1 7.215807-2 1.603245-1 7.281573-2 2.344229-1 7.337411-2 4.365158-1 7.400357-2 8.222427-1 7.456004-2 1.202264+0 7.476467-2 1.000000+5 7.472761-2 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 3.800000-6 0.0 1.414000-5 1.034000-5 1.414000-5 7.492612-9 1.928000-5 5.155281-6 1.928000-5 1.839782-6 1.950000-5 2.097909-6 1.990000-5 2.556648-6 2.065380-5 3.399254-6 2.162719-5 4.456124-6 2.270000-5 5.591968-6 2.454709-5 7.502798-6 2.754229-5 1.053980-5 3.264000-5 1.563860-5 3.264000-5 1.462724-5 3.801894-5 1.997929-5 5.623413-5 3.822565-5 6.352000-5 4.544098-5 6.352000-5 1.350507-5 6.356000-5 1.318919-5 6.385000-5 1.140070-5 6.400000-5 1.050989-5 6.415000-5 9.663400-6 6.430000-5 8.862783-6 6.450000-5 7.889810-6 6.470000-5 7.027180-6 6.493000-5 6.181951-6 6.500000-5 5.952932-6 6.515000-5 5.519171-6 6.540000-5 4.927230-6 6.560000-5 4.567013-6 6.570000-5 4.421333-6 6.600000-5 4.120024-6 6.606934-5 4.074491-6 6.650000-5 4.190551-6 6.657000-5 4.215941-6 6.710000-5 4.588060-6 6.780000-5 5.222081-6 6.873000-5 6.123202-6 6.873000-5 5.891241-6 6.918310-5 6.247693-6 6.941200-5 6.404472-6 6.955000-5 6.488407-6 6.975500-5 6.595172-6 7.000000-5 6.689819-6 7.050000-5 6.794239-6 7.090000-5 6.831387-6 7.100000-5 6.827705-6 7.110000-5 6.848585-6 7.220000-5 7.487540-6 7.357000-5 8.538235-6 7.520000-5 9.908238-6 7.700000-5 1.157727-5 7.762471-5 1.221367-5 7.780000-5 1.242416-5 7.920000-5 1.391069-5 8.128305-5 1.619024-5 8.413951-5 1.919610-5 9.800000-5 3.358486-5 1.198400-4 5.655585-5 1.364583-4 7.434546-5 1.439100-4 8.245127-5 1.439100-4 6.372090-5 1.462177-4 6.648780-5 1.488000-4 6.907607-5 1.520000-4 7.245271-5 1.603245-4 8.038042-5 1.780000-4 9.609060-5 1.810000-4 9.871641-5 1.810000-4 8.814216-5 1.980000-4 1.044708-4 2.190000-4 1.252990-4 2.323400-4 1.389188-4 2.323400-4 1.327280-4 2.385000-4 1.381467-4 2.580000-4 1.578496-4 2.620700-4 1.620353-4 2.620700-4 1.449267-4 2.630268-4 1.476929-4 2.643000-4 1.505939-4 2.662000-4 1.539757-4 2.693000-4 1.583756-4 2.699500-4 1.591899-4 2.699500-4 1.498591-4 2.713000-4 1.529633-4 2.736000-4 1.567606-4 2.770000-4 1.610463-4 2.823000-4 1.663666-4 2.884032-4 1.712181-4 2.951209-4 1.753279-4 3.040000-4 1.793574-4 3.200000-4 1.856989-4 3.300000-4 1.909633-4 3.410000-4 1.983171-4 3.550000-4 2.093234-4 3.740000-4 2.260135-4 4.073803-4 2.576400-4 4.897788-4 3.390767-4 5.659500-4 4.153373-4 5.659500-4 4.096306-4 5.976000-4 4.395378-4 5.976000-4 4.355518-4 6.382635-4 4.732140-4 8.228000-4 6.514459-4 8.228000-4 6.417000-4 9.926900-4 8.050311-4 9.926900-4 8.023758-4 1.130300-3 9.349224-4 1.130300-3 9.306093-4 1.770000-3 1.550594-3 2.999200-3 2.757948-3 2.999200-3 2.636196-3 3.138900-3 2.783899-3 3.138900-3 2.723406-3 3.427678-3 3.018090-3 3.644500-3 3.234991-3 3.644500-3 3.206616-3 4.312500-3 3.871495-3 4.312500-3 3.853355-3 4.619100-3 4.156737-3 4.619100-3 4.142994-3 1.230269-2 1.176692-2 1.503400-2 1.448639-2 1.503400-2 1.141113-2 1.797100-2 1.436837-2 1.797100-2 1.291829-2 1.863000-2 1.357663-2 1.863000-2 1.334325-2 3.054921-2 2.514864-2 1.015200-1 9.602175-2 1.015200-1 2.922405-2 1.047129-1 3.231733-2 1.071519-1 3.466327-2 1.188502-1 4.603308-2 1.584893-1 8.497859-2 2.818383-1 2.075399-1 2.065380+0 1.989942+0 1.000000+5 9.999993+4 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.015200-1 1.642979+3 1.040000-1 1.543916+3 1.060000-1 1.477096+3 1.090000-1 1.372684+3 1.135011-1 1.244842+3 1.273503-1 9.269855+2 1.450000-1 6.666780+2 2.398833-1 1.814726+2 2.900000-1 1.117920+2 3.427678-1 7.348457+1 3.935501-1 5.234874+1 4.518559-1 3.756174+1 5.128614-1 2.790718+1 5.821032-1 2.089586+1 6.606935-1 1.576412+1 7.498942-1 1.198157+1 8.413951-1 9.401674+0 9.440609-1 7.429682+0 1.096478+0 5.523918+0 1.258925+0 4.223747+0 1.428894+0 3.330398+0 1.603245+0 2.701689+0 1.819701+0 2.162819+0 2.065380+0 1.745017+0 2.371374+0 1.391053+0 2.722701+0 1.116693+0 3.126079+0 9.027835-1 3.630781+0 7.226334-1 4.216965+0 5.826656-1 4.954502+0 4.655754-1 5.888437+0 3.689831-1 7.000000+0 2.945100-1 8.413951+0 2.334263-1 1.023293+1 1.836236-1 1.258925+1 1.434641-1 1.584893+1 1.098301-1 2.018366+1 8.361440-2 2.691535+1 6.089903-2 3.758374+1 4.251886-2 5.623413+1 2.780272-2 9.015711+1 1.705329-2 1.640590+2 9.250652-3 3.273407+2 4.601203-3 1.303167+3 1.148754-3 1.000000+5 1.494100-5 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.015200-1 6.937200-4 1.000000+5 6.937200-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.015200-1 9.075900-2 1.000000+5 9.075900-2 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.015200-1 1.006728-2 1.000000+5 9.999991+4 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.863000-2 5.759619+3 1.930000-2 5.423220+3 1.960000-2 5.295300+3 2.020000-2 5.011200+3 2.100000-2 4.703840+3 2.317395-2 3.935961+3 2.511886-2 3.410993+3 2.691535-2 3.001176+3 2.951209-2 2.517082+3 3.672823-2 1.630558+3 4.120975-2 1.285043+3 4.731513-2 9.611401+2 5.623413-2 6.603876+2 6.382635-2 4.980000+2 7.328245-2 3.639653+2 8.609938-2 2.504983+2 1.023293-1 1.665150+2 1.230269-1 1.068786+2 1.548817-1 6.089724+1 2.722701-1 1.515046+1 3.349654-1 9.149343+0 3.981072-1 6.053075+0 4.623810-1 4.264207+0 5.370318-1 3.026424+0 6.095369-1 2.279500+0 6.998420-1 1.687711+0 8.035261-1 1.259030+0 9.332543-1 9.238115-1 1.035142+0 7.503146-1 1.202264+0 5.598387-1 1.364583+0 4.401674-1 1.531087+0 3.560903-1 1.737801+0 2.842553-1 1.972423+0 2.286865-1 2.264644+0 1.818425-1 2.600160+0 1.456384-1 3.000000+0 1.165900-1 3.467369+0 9.380145-2 4.027170+0 7.546669-2 4.731513+0 6.017109-2 5.623413+0 4.758756-2 6.683439+0 3.792166-2 8.035261+0 2.999217-2 9.885531+0 2.322517-2 1.244515+1 1.763947-2 1.548817+1 1.368136-2 1.927525+1 1.067791-2 2.570396+1 7.767950-3 3.548134+1 5.484448-3 5.188000+1 3.669578-3 8.035261+1 2.329010-3 1.462177+2 1.261354-3 2.917427+2 6.268951-4 1.161449+3 1.564039-4 7.328245+4 2.473281-6 1.000000+5 1.812500-6 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.863000-2 1.005200-3 1.000000+5 1.005200-3 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.863000-2 5.784200-3 1.000000+5 5.784200-3 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.863000-2 1.184060-2 1.000000+5 9.999999+4 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.797100-2 1.184968+4 1.802600-2 1.169207+4 1.809000-2 1.154300+4 1.815000-2 1.149000+4 1.885000-2 1.049700+4 2.041738-2 8.608500+3 2.483133-2 5.215700+3 2.754229-2 3.966800+3 3.427678-2 2.202800+3 4.315191-2 1.165400+3 5.370318-2 6.288300+2 6.760830-2 3.251700+2 8.810489-2 1.510100+2 1.584893-1 2.727500+1 1.927525-1 1.549989+1 2.344229-1 8.874904+0 2.786121-1 5.462695+0 3.235937-1 3.613567+0 3.715352-1 2.485797+0 4.216965-1 1.777275+0 4.786301-1 1.280340+0 5.370318-1 9.568671-1 6.025596-1 7.200831-1 6.760830-1 5.459900-1 7.498942-1 4.285540-1 8.413951-1 3.296507-1 9.120108-1 2.759852-1 9.885531-1 2.325731-1 1.083927+0 1.928497-1 1.202264+0 1.574600-1 1.348963+0 1.267531-1 1.548817+0 9.858083-2 1.757924+0 7.875608-2 1.995262+0 6.338729-2 2.290868+0 5.043706-2 2.630268+0 4.041839-2 3.019952+0 3.261735-2 3.507519+0 2.606235-2 4.073803+0 2.097983-2 4.786301+0 1.673694-2 5.688529+0 1.324401-2 6.760830+0 1.055920-2 8.128305+0 8.354889-3 1.000000+1 6.472500-3 1.244515+1 4.985166-3 1.566751+1 3.815523-3 1.972423+1 2.941092-3 2.630268+1 2.140810-3 3.630781+1 1.512353-3 5.370318+1 1.000185-3 8.413951+1 6.276968-4 1.548817+2 3.362175-4 3.090295+2 1.671729-4 1.230269+3 4.172199-5 1.000000+5 5.122200-7 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.797100-2 7.019700-4 1.000000+5 7.019700-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.797100-2 7.901300-3 1.000000+5 7.901300-3 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.797100-2 9.367730-3 1.000000+5 9.999999+4 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.503400-2 2.760836+4 1.531087-2 2.641482+4 1.717908-2 1.927892+4 1.850000-2 1.564828+4 2.041738-2 1.188646+4 2.238721-2 9.141983+3 2.818383-2 4.677845+3 3.589219-2 2.272970+3 4.466836-2 1.167014+3 5.500000-2 6.127480+2 6.839116-2 3.093040+2 8.810489-2 1.385707+2 1.548817-1 2.292052+1 1.927525-1 1.147808+1 2.238721-1 7.192623+0 2.600160-1 4.537433+0 2.985383-1 2.986170+0 3.388442-1 2.049832+0 3.801894-1 1.466196+0 4.265795-1 1.056872+0 4.786301-1 7.677290-1 5.308844-1 5.798496-1 5.888437-1 4.409924-1 6.531306-1 3.378003-1 7.244360-1 2.606815-1 8.035261-1 2.027267-1 9.120108-1 1.505289-1 9.660509-1 1.320590-1 1.023293+0 1.165948-1 1.096478+0 1.011116-1 1.188502+0 8.626452-2 1.303167+0 7.253169-2 1.462177+0 5.892333-2 1.757924+0 4.248311-2 1.972423+0 3.484984-2 2.264644+0 2.771489-2 2.600160+0 2.219677-2 3.000000+0 1.776800-2 3.467369+0 1.429517-2 4.027170+0 1.150109-2 4.731513+0 9.170101-3 5.623413+0 7.252398-3 6.683439+0 5.779313-3 8.035261+0 4.570922-3 9.885531+0 3.539494-3 1.244515+1 2.688265-3 1.566751+1 2.057555-3 1.972423+1 1.585970-3 2.630268+1 1.154447-3 3.630781+1 8.155123-4 5.370318+1 5.393664-4 8.413951+1 3.384912-4 1.531087+2 1.834455-4 3.054921+2 9.120148-5 1.216186+3 2.276008-5 1.000000+5 2.762200-7 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.503400-2 7.049300-4 1.000000+5 7.049300-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.503400-2 5.055500-3 1.000000+5 5.055500-3 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.503400-2 9.273570-3 1.000000+5 9.999999+4 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 4.619100-3 1.544790+4 4.970000-3 1.404640+4 5.128614-3 1.350807+4 5.432503-3 1.245021+4 5.956621-3 1.100103+4 6.500000-3 9.653520+3 7.000000-3 8.620620+3 7.585776-3 7.644680+3 8.128305-3 6.845159+3 1.000000-2 4.856260+3 1.109175-2 4.055148+3 1.300000-2 3.058500+3 1.548817-2 2.212770+3 1.757924-2 1.739226+3 2.041738-2 1.300212+3 2.426610-2 9.209507+2 2.900000-2 6.390300+2 3.427678-2 4.497152+2 4.027170-2 3.181133+2 4.731513-2 2.233813+2 5.559043-2 1.557696+2 6.606934-2 1.050689+2 8.000000-2 6.733160+1 9.660509-2 4.306386+1 1.188502-1 2.614259+1 1.548817-1 1.369003+1 2.570396-1 3.927092+0 3.198895-1 2.305012+0 3.801894-1 1.523423+0 4.466836-1 1.042457+0 5.128614-1 7.581963-1 5.888437-1 5.554491-1 6.760830-1 4.100397-1 7.673615-1 3.126124-1 8.810489-1 2.341601-1 9.772372-1 1.897543-1 1.188502+0 1.291498-1 1.318257+0 1.059230-1 1.500000+0 8.337289-2 1.698244+0 6.676271-2 1.927525+0 5.363604-2 2.213095+0 4.259677-2 2.540973+0 3.407498-2 2.917427+0 2.744996-2 3.349654+0 2.227096-2 3.890451+0 1.788815-2 4.570882+0 1.423929-2 5.432503+0 1.124344-2 6.456542+0 8.946560-3 7.762471+0 7.065840-3 9.549926+0 5.464099-3 1.202264+1 4.143882-3 1.513561+1 3.169124-3 1.862087+1 2.503738-3 2.483133+1 1.819743-3 3.427678+1 1.283699-3 5.000000+1 8.604600-4 7.673615+1 5.509367-4 1.412538+2 2.947234-4 2.818383+2 1.464318-4 5.623413+2 7.305111-5 2.238721+3 1.828629-5 1.000000+5 4.088500-7 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 4.619100-3 7.467400-4 1.000000+5 7.467400-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.619100-3 5.047400-5 1.000000+5 5.047400-5 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.619100-3 3.821886-3 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 4.312500-3 2.478964+4 4.450000-3 2.410730+4 4.700000-3 2.271360+4 5.308844-3 1.950269+4 5.559043-3 1.830347+4 6.165950-3 1.569606+4 6.839116-3 1.338133+4 7.500000-3 1.151094+4 8.912509-3 8.491869+3 9.549926-3 7.469239+3 1.122018-2 5.461692+3 1.216186-2 4.641139+3 1.412538-2 3.393763+3 1.548817-2 2.780704+3 1.778279-2 2.045693+3 2.018366-2 1.529678+3 2.264644-2 1.167291+3 2.600160-2 8.369882+2 3.000000-2 5.880340+2 3.467369-2 4.079894+2 4.027170-2 2.773830+2 4.677351-2 1.871887+2 5.500000-2 1.213664+2 6.606934-2 7.370058+1 8.035261-2 4.292555+1 1.023293-1 2.182721+1 1.905461-1 3.779341+0 2.398833-1 1.986678+0 2.851018-1 1.234817+0 3.349654-1 7.980141-1 3.845918-1 5.527458-1 4.365158-1 3.974724-1 4.954502-1 2.878920-1 5.559043-1 2.161751-1 6.237348-1 1.634420-1 6.998420-1 1.244819-1 7.762471-1 9.808045-2 8.709636-1 7.574904-2 9.440609-1 6.360929-2 1.023293+0 5.377880-2 1.122018+0 4.471580-2 1.250000+0 3.629876-2 1.396368+0 2.953346-2 1.640590+0 2.208571-2 1.862087+0 1.770267-2 2.113489+0 1.429713-2 2.426610+0 1.140993-2 2.786121+0 9.171690-3 3.198895+0 7.424586-3 3.715352+0 5.949926-3 4.315191+0 4.802604-3 5.069907+0 3.841503-3 6.025596+0 3.047636-3 7.244360+0 2.399987-3 8.810489+0 1.877249-3 1.059254+1 1.499969-3 1.273503+1 1.205251-3 1.603245+1 9.229069-4 2.041738+1 7.028835-4 2.722701+1 5.120884-4 3.801894+1 3.576321-4 5.688529+1 2.339058-4 9.120108+1 1.434956-4 1.659587+2 7.785076-5 3.311311+2 3.872617-5 1.318257+3 9.669156-6 1.000000+5 1.272200-7 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 4.312500-3 6.531200-4 1.000000+5 6.531200-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.312500-3 9.985600-5 1.000000+5 9.985600-5 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.312500-3 3.559524-3 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 3.644500-3 8.690576+4 3.750000-3 8.200466+4 4.000000-3 7.400000+4 4.580000-3 5.891600+4 4.900000-3 5.211400+4 5.688529-3 3.950390+4 6.165950-3 3.386282+4 6.683439-3 2.881241+4 7.673615-3 2.174561+4 8.317638-3 1.831601+4 9.800000-3 1.279124+4 1.083927-2 1.017275+4 1.230269-2 7.581417+3 1.380384-2 5.756026+3 1.548817-2 4.345348+3 1.778279-2 3.073350+3 2.000000-2 2.273180+3 2.264644-2 1.641703+3 2.600160-2 1.134293+3 3.000000-2 7.672040+2 3.467369-2 5.122632+2 4.027170-2 3.347241+2 4.677351-2 2.170479+2 5.432503-2 1.397644+2 6.456542-2 8.344537+1 7.673615-2 4.945344+1 9.660509-2 2.440338+1 1.862087-1 3.194209+0 2.290868-1 1.692308+0 2.691535-1 1.039742+0 3.090295-1 6.895143-1 3.507519-1 4.763609-1 3.935501-1 3.426083-1 4.415705-1 2.482465-1 4.954502-1 1.812340-1 5.495409-1 1.374467-1 6.095369-1 1.049447-1 6.760830-1 8.071741-2 7.498942-1 6.253069-2 8.709636-1 4.361142-2 9.332543-1 3.717994-2 9.885531-1 3.275232-2 1.071519+0 2.769328-2 1.161449+0 2.358081-2 1.258925+0 2.020429-2 1.396368+0 1.670280-2 1.717908+0 1.154332-2 1.949845+0 9.273990-3 2.238721+0 7.369717-3 2.570396+0 5.898866-3 2.951209+0 4.754706-3 3.427678+0 3.794518-3 4.000000+0 3.030500-3 4.677351+0 2.431410-3 5.559043+0 1.921940-3 6.606934+0 1.530794-3 7.943282+0 1.210158-3 9.772372+0 9.366750-4 1.230269+1 7.110673-4 1.548817+1 5.441036-4 1.927525+1 4.246614-4 2.600160+1 3.050696-4 3.630781+1 2.128191-4 5.370318+1 1.407509-4 8.413951+1 8.833211-5 1.531087+2 4.787049-5 3.054921+2 2.379940-5 1.216186+3 5.939417-6 1.000000+5 7.208200-8 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 3.644500-3 5.770900-4 1.000000+5 5.770900-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.644500-3 3.161000-5 1.000000+5 3.161000-5 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.644500-3 3.035800-3 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 3.138900-3 2.651721+5 3.166000-3 2.535991+5 3.172000-3 2.500060+5 3.174000-3 2.483566+5 3.235937-3 2.192000+5 3.300000-3 2.030771+5 3.320000-3 1.996515+5 3.672823-3 1.540870+5 4.027170-3 1.204001+5 4.570882-3 8.498477+4 5.150000-3 6.074080+4 5.821032-3 4.259243+4 6.531306-3 3.025039+4 7.943282-3 1.662402+4 8.810489-3 1.200581+4 1.011579-2 7.735663+3 1.190000-2 4.556440+3 1.318257-2 3.245352+3 1.514000-2 2.037649+3 1.778279-2 1.174526+3 2.089296-2 6.698083+2 2.454709-2 3.785906+2 2.917427-2 2.036058+2 3.467369-2 1.085846+2 4.120975-2 5.749146+1 5.069907-2 2.658977+1 6.531306-2 1.027247+1 1.135011-1 1.278733+0 1.412538-1 5.643671-1 1.698244-1 2.853142-1 1.972423-1 1.649923-1 2.344229-1 8.867827-2 2.660725-1 5.660683-2 3.019952-1 3.640064-2 3.388442-1 2.451923-2 3.758374-1 1.730844-2 4.073803-1 1.327964-2 4.518559-1 9.529279-3 5.069907-1 6.643486-3 5.623413-1 4.829063-3 6.237348-1 3.536593-3 6.839117-1 2.700627-3 7.413102-1 2.146577-3 8.511380-1 1.463542-3 9.015711-1 1.255557-3 9.440609-1 1.117124-3 9.885531-1 1.000136-3 1.035142+0 9.016074-4 1.096478+0 7.978238-4 1.161449+0 7.108119-4 1.250000+0 6.183264-4 1.364583+0 5.278569-4 1.531087+0 4.318824-4 1.819701+0 3.183163-4 2.018366+0 2.666517-4 2.317395+0 2.123097-4 2.660725+0 1.702335-4 3.054921+0 1.374567-4 3.548134+0 1.099006-4 4.120975+0 8.851871-5 4.841724+0 7.065439-5 5.754399+0 5.593729-5 6.839116+0 4.461855-5 8.222427+0 3.532153-5 1.011579+1 2.737657-5 1.258925+1 2.109491-5 1.584893+1 1.614913-5 2.018366+1 1.229405-5 2.691535+1 8.954482-6 3.758374+1 6.251835-6 5.623413+1 4.087994-6 9.015711+1 2.507424-6 1.621810+2 1.376120-6 3.235937+2 6.844466-7 1.288250+3 1.708702-7 1.000000+5 2.196900-9 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 3.138900-3 4.263200-4 1.000000+5 4.263200-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.138900-3 1.127700-4 1.000000+5 1.127700-4 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.138900-3 2.599810-3 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 2.999200-3 4.502753+5 3.161000-3 3.158380+5 3.467369-3 2.481723+5 3.801894-3 1.932674+5 4.315191-3 1.358014+5 4.841724-3 9.777620+4 5.308844-3 7.469844+4 5.888437-3 5.479848+4 6.400000-3 4.253934+4 7.762471-3 2.330627+4 8.609938-3 1.672344+4 9.800000-3 1.098918+4 1.135011-2 6.752477+3 1.273503-2 4.578064+3 1.450000-2 2.934558+3 1.698244-2 1.690378+3 1.972423-2 9.931902+2 2.300000-2 5.703066+2 2.691535-2 3.205341+2 3.162278-2 1.760704+2 3.715352-2 9.600877+1 4.466836-2 4.762399+1 5.308844-2 2.452081+1 7.000000-2 8.387909+0 1.096478-1 1.464533+0 1.348963-1 6.583206-1 1.603245-1 3.405042-1 1.840772-1 2.022441-1 2.089296-1 1.263111-1 2.344229-1 8.289521-2 2.630268-1 5.479953-2 2.917427-1 3.801988-2 3.235937-1 2.655785-2 3.548134-1 1.943643-2 3.890451-1 1.432789-2 4.168694-1 1.146521-2 4.570882-1 8.579730-3 5.011872-1 6.466196-3 5.495409-1 4.902836-3 6.025596-1 3.745094-3 6.531306-1 2.979880-3 7.079458-1 2.385711-3 7.762471-1 1.864126-3 8.609938-1 1.417486-3 9.120108-1 1.224502-3 9.660509-1 1.065561-3 1.011579+0 9.595249-4 1.071519+0 8.478629-4 1.135011+0 7.539542-4 1.216186+0 6.594954-4 1.318257+0 5.683768-4 1.621810+0 3.939445-4 1.862087+0 3.091452-4 2.065380+0 2.593854-4 2.371374+0 2.067846-4 2.722701+0 1.659963-4 3.126079+0 1.341950-4 3.630781+0 1.074183-4 4.216965+0 8.661343-5 4.954502+0 6.920801-5 5.888437+0 5.484927-5 7.000000+0 4.377900-5 8.413951+0 3.469885-5 1.023293+1 2.729578-5 1.258925+1 2.132649-5 1.584893+1 1.632596-5 2.000000+1 1.255700-5 2.660725+1 9.166846-6 3.715352+1 6.398439-6 5.559043+1 4.182966-6 8.810489+1 2.595710-6 1.603245+2 1.407610-6 3.198895+2 7.000341-7 1.273503+3 1.747520-7 1.000000+5 2.221000-9 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 2.999200-3 4.260300-4 1.000000+5 4.260300-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.999200-3 1.710000-7 1.000000+5 1.710000-7 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 2.999200-3 2.572999-3 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.130300-3 3.415162+4 1.190000-3 3.328300+4 1.240000-3 3.197780+4 1.350000-3 2.960120+4 1.450000-3 2.744320+4 1.640590-3 2.399306+4 1.972423-3 1.925623+4 2.113489-3 1.762282+4 2.570396-3 1.351163+4 2.818383-3 1.184939+4 3.349654-3 9.172059+3 3.801894-3 7.540448+3 4.365158-3 6.056454+3 5.248075-3 4.471800+3 6.237348-3 3.332691+3 7.328245-3 2.512790+3 8.609938-3 1.881086+3 1.011579-2 1.398562+3 1.202264-2 1.010681+3 1.445440-2 7.089880+2 1.730000-2 4.977740+2 2.065380-2 3.486325+2 2.454709-2 2.445981+2 2.917427-2 1.703557+2 3.467369-2 1.177870+2 4.120975-2 8.084225+1 4.897788-2 5.508707+1 5.821032-2 3.726616+1 7.000000-2 2.436207+1 8.317638-2 1.625936+1 1.023293-1 9.913550+0 1.303167-1 5.519099+0 1.621810-1 3.228641+0 2.540973-1 1.067553+0 3.162278-1 6.265253-1 3.801894-1 4.027689-1 4.466836-1 2.756309-1 5.128614-1 2.004739-1 5.888437-1 1.468601-1 6.760830-1 1.084100-1 7.762471-1 8.066015-2 8.810489-1 6.189903-2 9.772372-1 5.015533-2 1.174898+0 3.490729-2 1.303167+0 2.861188-2 1.479108+0 2.260860-2 1.678804+0 1.800871-2 1.905461+0 1.445757-2 2.187762+0 1.147363-2 2.511886+0 9.172716-3 2.884032+0 7.385185-3 3.311311+0 5.988407-3 3.845918+0 4.807240-3 4.518559+0 3.824430-3 5.308844+0 3.065400-3 6.309573+0 2.436813-3 7.585776+0 1.922701-3 9.225714+0 1.506656-3 1.122018+1 1.189211-3 1.400000+1 9.164200-4 1.778279+1 6.969269-4 2.371374+1 5.059185-4 3.235937+1 3.609124-4 4.677351+1 2.439549-4 7.079458+1 1.582663-4 1.273503+2 8.658134-5 2.540973+2 4.297006-5 5.069907+2 2.142329-5 4.027170+3 2.685142-6 1.000000+5 1.080600-7 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.130300-3 4.257700-4 1.000000+5 4.257700-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.130300-3 3.643100-7 1.000000+5 3.643100-7 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.130300-3 7.041657-4 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 9.926900-4 3.064068+4 1.202264-3 2.949376+4 1.303167-3 2.868036+4 1.400500-3 2.772047+4 1.513561-3 2.653379+4 1.650000-3 2.505120+4 1.819701-3 2.321270+4 1.950000-3 2.181480+4 2.187762-3 1.947316+4 2.371374-3 1.787455+4 2.570396-3 1.627707+4 2.884032-3 1.412267+4 3.150000-3 1.258016+4 3.548134-3 1.065656+4 3.900000-3 9.284060+3 4.365158-3 7.808169+3 4.841724-3 6.617516+3 5.500000-3 5.349140+3 6.095369-3 4.475629+3 6.839116-3 3.640705+3 7.762471-3 2.877195+3 8.709636-3 2.306670+3 9.885531-3 1.795230+3 1.122018-2 1.386447+3 1.273503-2 1.062828+3 1.450000-2 8.033060+2 1.659587-2 5.957057+2 1.905461-2 4.351473+2 2.187762-2 3.152754+2 2.500000-2 2.292740+2 2.884032-2 1.617702+2 3.349654-2 1.113348+2 3.890451-2 7.604409+1 4.518559-2 5.155581+1 5.308844-2 3.367208+1 6.309573-2 2.116845+1 7.673615-2 1.240402+1 9.549926-2 6.769265+0 1.949845-1 9.159281-1 2.426610-1 4.987200-1 2.884032-1 3.107098-1 3.349654-1 2.075926-1 3.845918-1 1.440281-1 4.415705-1 1.006717-1 5.011872-1 7.302799-2 5.688529-1 5.338099-2 6.382635-1 4.043637-2 7.161434-1 3.085746-2 8.035261-1 2.373287-2 8.810489-1 1.932971-2 9.549926-1 1.625107-2 1.035142+0 1.375560-2 1.135011+0 1.144782-2 1.258925+0 9.378170-3 1.412538+0 7.571893-3 1.640590+0 5.782211-3 1.862087+0 4.634617-3 2.113489+0 3.743562-3 2.426610+0 2.987738-3 2.786121+0 2.401486-3 3.198895+0 1.943925-3 3.715352+0 1.557820-3 4.365158+0 1.237204-3 5.128614+0 9.901153-4 6.095369+0 7.859051-4 7.328245+0 6.191951-4 8.912509+0 4.845597-4 1.071519+1 3.873273-4 1.288250+1 3.113353-4 1.621810+1 2.384695-4 2.089296+1 1.793710-4 2.818383+1 1.291400-4 3.981072+1 8.916176-5 6.025596+1 5.767070-5 1.000000+2 3.417900-5 1.798871+2 1.878347-5 3.589219+2 9.348158-6 1.428894+3 2.335094-6 1.000000+5 3.330800-8 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 9.926900-4 3.846900-4 1.000000+5 3.846900-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 9.926900-4 2.994100-7 1.000000+5 2.994100-7 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 9.926900-4 6.077006-4 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 8.228000-4 1.783842+5 8.709636-4 1.726349+5 1.000000-3 1.519176+5 1.071519-3 1.416282+5 1.216186-3 1.232592+5 1.318257-3 1.121212+5 1.479108-3 9.711027+4 1.610000-3 8.672360+4 1.883649-3 6.960351+4 2.065380-3 6.072887+4 2.400000-3 4.810720+4 2.650000-3 4.097200+4 3.054921-3 3.226354+4 3.427678-3 2.637304+4 3.845918-3 2.143168+4 4.415704-3 1.655655+4 4.954502-3 1.326022+4 5.623413-3 1.031453+4 6.500000-3 7.666600+3 7.500000-3 5.664320+3 8.511380-3 4.300796+3 9.549926-3 3.326515+3 1.071519-2 2.558139+3 1.202264-2 1.955939+3 1.364583-2 1.446098+3 1.548817-2 1.061818+3 1.757924-2 7.743622+2 2.000000-2 5.575280+2 2.290868-2 3.916010+2 2.630268-2 2.712809+2 3.019952-2 1.865041+2 3.467369-2 1.272827+2 4.027170-2 8.349382+1 4.677351-2 5.435835+1 5.495409-2 3.397375+1 6.456542-2 2.107520+1 7.762471-2 1.211577+1 9.549926-2 6.446801+0 1.819701-1 8.843021-1 2.264644-1 4.533814-1 2.691535-1 2.694887-1 3.126079-1 1.729227-1 3.548134-1 1.195634-1 4.000000-1 8.491902-2 4.466836-1 6.244585-2 5.011872-1 4.565075-2 5.623413-1 3.362450-2 6.237348-1 2.571802-2 6.918310-1 1.981294-2 7.673615-1 1.537631-2 8.709636-1 1.135277-2 9.332543-1 9.686266-3 9.885531-1 8.537052-3 1.071519+0 7.221087-3 1.161449+0 6.149781-3 1.273503+0 5.156816-3 1.412538+0 4.265489-3 1.717908+0 3.008962-3 1.949845+0 2.417496-3 2.238721+0 1.921094-3 2.570396+0 1.537697-3 2.951209+0 1.239460-3 3.427678+0 9.891515-4 4.000000+0 7.899800-4 4.677351+0 6.338095-4 5.559043+0 5.009987-4 6.606934+0 3.990487-4 7.943282+0 3.154650-4 9.772372+0 2.441634-4 1.230269+1 1.853594-4 1.548817+1 1.418356-4 1.927525+1 1.107001-4 2.570396+1 8.053092-5 3.548134+1 5.685778-5 5.188000+1 3.804260-5 8.035261+1 2.414522-5 1.462177+2 1.307743-5 2.917427+2 6.499032-6 1.161449+3 1.621435-6 1.000000+5 1.879000-8 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 8.228000-4 3.400500-4 1.000000+5 3.400500-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 8.228000-4 2.427600-7 1.000000+5 2.427600-7 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 8.228000-4 4.825072-4 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 5.976000-4 1.662359+5 5.989500-4 1.705355+5 6.180500-4 2.015915+5 6.200000-4 2.044221+5 6.350000-4 2.105605+5 6.370000-4 2.108600+5 6.430000-4 2.098480+5 6.850000-4 2.132852+5 7.328245-4 2.196684+5 7.800000-4 2.228048+5 8.100000-4 2.233008+5 8.413951-4 2.227329+5 8.850000-4 2.204184+5 9.225714-4 2.173658+5 9.700000-4 2.122772+5 1.023293-3 2.054752+5 1.090000-3 1.959992+5 1.161449-3 1.852712+5 1.244515-3 1.724528+5 1.333521-3 1.594675+5 1.412538-3 1.484246+5 1.513561-3 1.350501+5 1.650000-3 1.190384+5 1.770000-3 1.066904+5 1.905461-3 9.437033+4 2.089296-3 8.034115+4 2.238721-3 7.078716+4 2.454709-3 5.928471+4 2.660725-3 5.047450+4 2.900000-3 4.217960+4 3.198895-3 3.413053+4 3.507519-3 2.774872+4 3.845918-3 2.241597+4 4.216965-3 1.797640+4 4.650000-3 1.412892+4 5.188000-3 1.069490+4 5.688529-3 8.405984+3 6.309573-3 6.368393+3 7.079458-3 4.638427+3 7.943282-3 3.349900+3 8.810489-3 2.481992+3 9.800000-3 1.812016+3 1.083927-2 1.337168+3 1.216186-2 9.384338+2 1.364583-2 6.539300+2 1.531087-2 4.526125+2 1.737801-2 2.996746+2 1.972423-2 1.968800+2 2.238721-2 1.284149+2 2.570396-2 7.995131+1 2.951209-2 4.941074+1 3.427678-2 2.911104+1 4.027170-2 1.633859+1 4.786301-2 8.731536+0 5.821032-2 4.258232+0 7.852356-2 1.404657+0 1.230269-1 2.644014-1 1.678804-1 8.397291-2 1.883649-1 5.525240-2 2.344229-1 2.528206-2 2.691535-1 1.554499-2 3.090295-1 9.636206-3 3.427678-1 6.770485-3 3.801894-1 4.790354-3 4.120975-1 3.682697-3 4.570882-1 2.648286-3 5.128614-1 1.850676-3 5.688529-1 1.348926-3 6.309573-1 9.902216-4 6.918310-1 7.573176-4 7.585776-1 5.835441-4 8.609938-1 4.111043-4 9.120108-1 3.530815-4 9.549926-1 3.145275-4 1.000000+0 2.820081-4 1.059254+0 2.483437-4 1.122018+0 2.203682-4 1.188502+0 1.967999-4 1.288250+0 1.693773-4 1.412538+0 1.438591-4 1.531087+0 1.250499-4 1.819701+0 9.216700-5 2.018366+0 7.720330-5 2.317395+0 6.146593-5 2.660725+0 4.928369-5 3.054921+0 3.979440-5 3.548134+0 3.181638-5 4.120975+0 2.562613-5 4.841724+0 2.045453-5 5.754399+0 1.619344-5 6.839116+0 1.291650-5 8.222427+0 1.022584-5 1.000000+1 8.036500-6 1.244515+1 6.189688-6 1.566751+1 4.737404-6 1.972423+1 3.651707-6 2.630268+1 2.658120-6 3.630781+1 1.877771-6 5.370318+1 1.241851-6 8.317638+1 7.886693-7 1.513561+2 4.273424-7 3.019952+2 2.124446-7 1.202264+3 5.301336-8 1.000000+5 6.35990-10 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 5.976000-4 2.646400-4 1.000000+5 2.646400-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 5.976000-4 1.502300-7 1.000000+5 1.502300-7 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 5.976000-4 3.328098-4 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 5.659500-4 2.450646+5 5.734700-4 2.603842+5 5.950000-4 3.060693+5 6.130000-4 3.347767+5 6.382635-4 3.617653+5 6.606934-4 3.645190+5 6.930000-4 3.703494+5 7.244360-4 3.725883+5 7.585776-4 3.730813+5 7.900000-4 3.712068+5 8.222426-4 3.677148+5 8.609938-4 3.616112+5 9.015711-4 3.535347+5 9.500000-4 3.422070+5 1.000000-3 3.293604+5 1.059254-3 3.132337+5 1.122018-3 2.960075+5 1.216186-3 2.701450+5 1.303167-3 2.481537+5 1.380384-3 2.297052+5 1.479108-3 2.077628+5 1.610000-3 1.823208+5 1.730000-3 1.621188+5 1.883649-3 1.397897+5 2.041738-3 1.207349+5 2.220000-3 1.028844+5 2.450000-3 8.449680+4 2.660725-3 7.115221+4 2.951209-3 5.684567+4 3.220000-3 4.672410+4 3.548134-3 3.728344+4 3.845918-3 3.072796+4 4.265795-3 2.379134+4 4.677351-3 1.881425+4 5.150000-3 1.463274+4 5.821032-3 1.052376+4 6.531306-3 7.646526+3 7.161434-3 5.885210+3 7.943282-3 4.356531+3 8.912509-3 3.094183+3 1.000000-2 2.179938+3 1.122018-2 1.523888+3 1.258925-2 1.057279+3 1.412538-2 7.282402+2 1.584893-2 4.980998+2 1.778279-2 3.384695+2 2.018366-2 2.195757+2 2.290868-2 1.413678+2 2.600160-2 9.037135+1 2.985383-2 5.505325+1 3.467369-2 3.191999+1 4.027170-2 1.836772+1 4.786301-2 9.627834+0 5.821032-2 4.590891+0 7.585776-2 1.668714+0 1.188502-1 2.978142-1 1.462177-1 1.353358-1 1.717908-1 7.360443-2 1.927525-1 4.798159-2 2.371374-1 2.254556-2 2.660725-1 1.492669-2 2.951209-1 1.037140-2 3.235937-1 7.552895-3 3.548134-1 5.537030-3 3.890451-1 4.088547-3 4.216965-1 3.158295-3 4.623810-1 2.368728-3 5.188000-1 1.667774-3 5.688529-1 1.267877-3 6.165950-1 1.003642-3 6.683439-1 7.996161-4 7.244360-1 6.412585-4 7.852356-1 5.178043-4 8.609938-1 4.075069-4 9.120108-1 3.530795-4 9.660509-1 3.080584-4 1.011579+0 2.778456-4 1.071519+0 2.458412-4 1.148154+0 2.138677-4 1.244515+0 1.833178-4 1.364583+0 1.549006-4 1.778279+0 9.692373-5 2.000000+0 7.922848-5 2.290868+0 6.329643-5 2.630268+0 5.072473-5 3.019952+0 4.093480-5 3.507519+0 3.270864-5 4.073803+0 2.633030-5 4.786301+0 2.100543-5 5.688529+0 1.662079-5 6.760830+0 1.325094-5 8.128305+0 1.048586-5 1.000000+1 8.123100-6 1.244515+1 6.256436-6 1.566751+1 4.788503-6 1.972423+1 3.691117-6 2.630268+1 2.686764-6 3.630781+1 1.898010-6 5.370318+1 1.255253-6 8.413951+1 7.877687-7 1.531087+2 4.269262-7 3.054921+2 2.122497-7 1.216186+3 5.296942-8 1.000000+5 6.42850-10 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 5.659500-4 2.550200-4 1.000000+5 2.550200-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 5.659500-4 6.402500-8 1.000000+5 6.402500-8 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 5.659500-4 3.108660-4 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 2.699500-4 1.919574+5 2.700100-4 1.883184+5 2.703000-4 1.780446+5 2.706000-4 1.689234+5 2.709000-4 1.610274+5 2.713000-4 1.520484+5 2.718000-4 1.429206+5 2.722701-4 1.358613+5 2.728000-4 1.293948+5 2.732000-4 1.253028+5 2.737000-4 1.209456+5 2.745000-4 1.152204+5 2.753000-4 1.105800+5 2.762000-4 1.064958+5 2.770000-4 1.036500+5 2.780000-4 1.008816+5 2.790000-4 9.879120+4 2.800000-4 9.724560+4 2.815000-4 9.572640+4 2.830000-4 9.498720+4 2.845800-4 9.492365+4 2.860000-4 9.542880+4 2.875000-4 9.652980+4 2.890000-4 9.822420+4 2.905000-4 1.005258+5 2.920000-4 1.034526+5 2.935000-4 1.070172+5 2.951209-4 1.115939+5 2.970000-4 1.178460+5 2.993000-4 1.269150+5 3.015000-4 1.370688+5 3.040000-4 1.504554+5 3.065000-4 1.659600+5 3.100000-4 1.915722+5 3.130000-4 2.174850+5 3.220000-4 3.185340+5 3.260000-4 3.740040+5 3.290000-4 4.191288+5 3.320000-4 4.666650+5 3.350000-4 5.162502+5 3.380000-4 5.674230+5 3.410000-4 6.197640+5 3.450000-4 6.911880+5 3.485000-4 7.545840+5 3.515000-4 8.095020+5 3.550000-4 8.738580+5 3.590000-4 9.472260+5 3.630781-4 1.020928+6 3.672823-4 1.095255+6 3.720000-4 1.175430+6 3.760000-4 1.239942+6 3.801894-4 1.303636+6 3.850000-4 1.371426+6 3.910000-4 1.448496+6 3.970000-4 1.517034+6 4.030000-4 1.578258+6 4.100000-4 1.640880+6 4.180000-4 1.701396+6 4.265795-4 1.754150+6 4.350000-4 1.794162+6 4.430000-4 1.822188+6 4.550000-4 1.848126+6 4.677351-4 1.859080+6 4.786301-4 1.858748+6 4.930000-4 1.847028+6 5.080000-4 1.823412+6 5.248075-4 1.787585+6 5.450000-4 1.733502+6 5.650000-4 1.673406+6 5.821032-4 1.618918+6 6.100000-4 1.526844+6 6.382635-4 1.433582+6 6.700000-4 1.329156+6 7.079458-4 1.209996+6 7.500000-4 1.089546+6 7.943282-4 9.746773+5 8.413951-4 8.651818+5 9.015711-4 7.441140+5 9.660509-4 6.357105+5 1.035142-3 5.388222+5 1.122018-3 4.407039+5 1.202264-3 3.687811+5 1.303167-3 2.972981+5 1.412538-3 2.381755+5 1.531087-3 1.895476+5 1.690000-3 1.421502+5 1.850000-3 1.084008+5 2.041738-3 8.005782+4 2.238721-3 5.989783+4 2.483133-3 4.289136+4 2.754229-3 3.046467+4 3.019952-3 2.233257+4 3.349654-3 1.564246+4 3.758374-3 1.044272+4 4.265795-3 6.629894+3 4.800000-3 4.303422+3 5.370318-3 2.830067+3 6.025596-3 1.827379+3 6.760830-3 1.170818+3 7.500000-3 7.790400+2 8.317638-3 5.160253+2 9.440609-3 3.093281+2 1.071519-2 1.839922+2 1.216186-2 1.086409+2 1.380384-2 6.369256+1 1.566751-2 3.708040+1 1.798871-2 2.039470+1 2.065380-2 1.113501+1 2.398833-2 5.735108+0 2.851018-2 2.645848+0 3.507519-2 1.036914+0 4.466836-2 3.446599-1 8.511380-2 1.794856-2 1.035142-1 7.367820-3 1.230269-1 3.386020-3 1.428894-1 1.737859-3 1.659587-1 8.981027-4 1.883649-1 5.172976-4 2.089296-1 3.314212-4 2.344229-1 2.035885-4 2.630268-1 1.260123-4 2.917427-1 8.237970-5 3.273407-1 5.159915-5 3.548134-1 3.741951-5 3.845918-1 2.733519-5 4.027170-1 2.294003-5 4.365158-1 1.705467-5 4.731513-1 1.276780-5 5.688529-1 6.637682-6 6.237348-1 4.816774-6 6.760830-1 3.663046-6 7.244360-1 2.914637-6 7.762471-1 2.334189-6 8.413951-1 1.816820-6 8.810489-1 1.582822-6 9.225714-1 1.387352-6 9.549926-1 1.262956-6 9.885531-1 1.155412-6 1.023293+0 1.062943-6 1.071519+0 9.578750-7 1.122018+0 8.691817-7 1.188502+0 7.760505-7 1.273503+0 6.834203-7 1.380384+0 5.938038-7 1.513561+0 5.083952-7 1.862087+0 3.527762-7 2.065380+0 2.958593-7 2.371374+0 2.358469-7 2.722701+0 1.893265-7 3.126079+0 1.530575-7 3.630781+0 1.225171-7 4.216965+0 9.878557-8 4.954502+0 7.893095-8 5.888437+0 6.255505-8 7.079458+0 4.921257-8 8.511380+0 3.901136-8 1.035142+1 3.070202-8 1.273503+1 2.399762-8 1.603245+1 1.837533-8 2.041738+1 1.399512-8 2.754229+1 1.006922-8 3.845918+1 7.033978-9 5.754399+1 4.601508-9 9.332543+1 2.790291-9 1.698244+2 1.514299-9 3.388442+2 7.53372-10 1.348963+3 1.88119-10 1.000000+5 2.53300-12 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 2.699500-4 1.551000-4 1.000000+5 1.551000-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 2.699500-4 1.846400-9 1.000000+5 1.846400-9 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 2.699500-4 1.148482-4 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 2.620700-4 2.606384+5 2.622000-4 2.533224+5 2.626000-4 2.370280+5 2.630268-4 2.223451+5 2.635000-4 2.087160+5 2.639000-4 1.990584+5 2.643000-4 1.906944+5 2.648500-4 1.810192+5 2.652000-4 1.758088+5 2.657000-4 1.693888+5 2.662000-4 1.639176+5 2.670000-4 1.565232+5 2.678500-4 1.501540+5 2.685000-4 1.461976+5 2.693000-4 1.422088+5 2.700000-4 1.393600+5 2.710000-4 1.361168+5 2.722701-4 1.331176+5 2.736000-4 1.310376+5 2.750000-4 1.298040+5 2.765000-4 1.294288+5 2.780000-4 1.299504+5 2.795200-4 1.313676+5 2.807000-4 1.330864+5 2.823000-4 1.362984+5 2.840500-4 1.409973+5 2.858000-4 1.469592+5 2.873000-4 1.530800+5 2.890000-4 1.611464+5 2.908000-4 1.709968+5 2.930000-4 1.848912+5 2.951209-4 2.002814+5 2.980000-4 2.245104+5 3.015000-4 2.596328+5 3.059100-4 3.137160+5 3.140000-4 4.432800+5 3.180000-4 5.208864+5 3.210000-4 5.839296+5 3.240000-4 6.503496+5 3.273407-4 7.274885+5 3.300000-4 7.907768+5 3.335000-4 8.760080+5 3.370000-4 9.629280+5 3.410000-4 1.063696+6 3.450000-4 1.165328+6 3.485000-4 1.254328+6 3.530000-4 1.367808+6 3.565000-4 1.454472+6 3.600000-4 1.538952+6 3.640000-4 1.631976+6 3.690000-4 1.741784+6 3.740000-4 1.843488+6 3.780000-4 1.918696+6 3.835000-4 2.013288+6 3.890451-4 2.098779+6 3.950000-4 2.180536+6 4.027170-4 2.272137+6 4.100000-4 2.344960+6 4.180000-4 2.410208+6 4.265795-4 2.464023+6 4.365158-4 2.506911+6 4.470000-4 2.532832+6 4.600000-4 2.543544+6 4.731513-4 2.536746+6 4.897788-4 2.508073+6 5.080000-4 2.456984+6 5.248075-4 2.397754+6 5.450000-4 2.314976+6 5.688529-4 2.208846+6 5.956621-4 2.084163+6 6.237348-4 1.954610+6 6.531306-4 1.820495+6 6.850000-4 1.679520+6 7.300000-4 1.495672+6 7.762471-4 1.327890+6 8.222426-4 1.179210+6 8.810489-4 1.013845+6 9.440609-4 8.657608+5 1.011579-3 7.336998+5 1.096478-3 6.000415+5 1.174898-3 5.019177+5 1.273503-3 4.045042+5 1.380384-3 3.239800+5 1.500000-3 2.558096+5 1.650000-3 1.937144+5 1.819701-3 1.442981+5 1.995262-3 1.086586+5 2.238721-3 7.546899+4 2.454709-3 5.595311+4 2.691535-3 4.124911+4 3.019952-3 2.792523+4 3.400000-3 1.850800+4 3.758374-3 1.297472+4 4.120975-3 9.309963+3 4.570882-3 6.368698+3 5.128614-3 4.143717+3 5.688529-3 2.795217+3 6.382635-3 1.791604+3 7.079458-3 1.192740+3 7.943282-3 7.536054+2 9.015711-3 4.512222+2 1.023293-2 2.679774+2 1.161449-2 1.579159+2 1.318257-2 9.235969+1 1.500000-2 5.304704+1 1.717908-2 2.939478+1 1.972423-2 1.598736+1 2.264644-2 8.627837+0 2.660725-2 4.167423+0 3.198895-2 1.799163+0 3.935501-2 6.937401-1 5.069907-2 2.145886-1 7.498942-2 3.472236-2 1.071519-1 6.636161-3 1.244515-1 3.337234-3 1.428894-1 1.782265-3 1.621810-1 1.010481-3 1.819701-1 6.076256-4 2.018366-1 3.870308-4 2.238721-1 2.483094-4 2.483133-1 1.604897-4 2.818383-1 9.500777-5 3.054921-1 6.849414-5 3.311311-1 4.973581-5 3.507519-1 3.978806-5 3.801894-1 2.938919-5 4.120975-1 2.187686-5 4.570882-1 1.508808-5 4.954502-1 1.137752-5 5.370318-1 8.636866-6 5.821032-1 6.602552-6 6.309573-1 5.083476-6 6.760830-1 4.085433-6 7.244360-1 3.305913-6 7.673615-1 2.787726-6 8.222427-1 2.290654-6 8.810489-1 1.896284-6 9.549926-1 1.531574-6 9.885531-1 1.404211-6 1.023293+0 1.293684-6 1.071519+0 1.167265-6 1.122018+0 1.059864-6 1.188502+0 9.464160-7 1.273503+0 8.330161-7 1.380384+0 7.230269-7 1.513561+0 6.181995-7 1.840772+0 4.376190-7 2.044000+0 3.660700-7 2.344229+0 2.921706-7 2.691535+0 2.344101-7 3.090295+0 1.893952-7 3.589219+0 1.515104-7 4.168694+0 1.220969-7 4.897788+0 9.750938-8 5.821032+0 7.723838-8 6.918310+0 6.163864-8 8.317638+0 4.881804-8 1.011579+1 3.838521-8 1.258925+1 2.957652-8 1.584893+1 2.264243-8 2.000000+1 1.741500-8 2.691535+1 1.255450-8 3.801894+1 8.659054-9 5.688529+1 5.663277-9 9.120108+1 3.474270-9 1.659587+2 1.884911-9 3.311311+2 9.37625-10 1.318257+3 2.34101-10 1.000000+5 3.08020-12 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 2.620700-4 1.564000-4 1.000000+5 1.564000-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 2.620700-4 7.510700-8 1.000000+5 7.510700-8 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 2.620700-4 1.055949-4 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 2.323400-4 5.207700+4 2.329000-4 5.263680+4 2.338000-4 5.409380+4 2.344229-4 5.494180+4 2.355000-4 5.613660+4 2.370000-4 5.729540+4 2.385000-4 5.800120+4 2.405000-4 5.842220+4 2.426610-4 5.845679+4 3.350000-4 4.916960+4 3.630781-4 4.651761+4 4.120975-4 4.235181+4 4.415704-4 3.999169+4 4.841724-4 3.670948+4 5.432503-4 3.273795+4 5.888437-4 3.003460+4 6.606934-4 2.632522+4 7.413102-4 2.292177+4 8.511380-4 1.921935+4 9.549926-4 1.649727+4 1.122018-3 1.320189+4 1.333521-3 1.030451+4 1.584893-3 7.977873+3 1.927525-3 5.921691+3 2.344229-3 4.359708+3 2.851018-3 3.185436+3 3.467369-3 2.309434+3 4.168694-3 1.693476+3 5.011872-3 1.232665+3 6.025596-3 8.905070+2 7.244360-3 6.387020+2 8.810489-3 4.451750+2 1.059254-2 3.146508+2 1.273503-2 2.207859+2 1.531087-2 1.537899+2 1.840772-2 1.063487+2 2.213095-2 7.300214+1 2.660725-2 4.973707+1 3.162278-2 3.446495+1 3.801894-2 2.312577+1 4.570882-2 1.539610+1 5.432503-2 1.043731+1 6.531306-2 6.842510+0 7.943282-2 4.335035+0 9.660509-2 2.722785+0 1.216186-1 1.562779+0 1.548817-1 8.661478-1 2.570396-1 2.485048-1 3.198895-1 1.458805-1 3.845918-1 9.382515-2 4.518559-1 6.424313-2 5.188000-1 4.675286-2 6.000000-1 3.372210-2 6.839117-1 2.531319-2 7.852356-1 1.884506-2 8.912509-1 1.446847-2 9.885531-1 1.173176-2 1.202264+0 7.989198-3 1.333521+0 6.556775-3 1.513561+0 5.188392-3 1.717908+0 4.138672-3 1.949845+0 3.327291-3 2.238721+0 2.644242-3 2.570396+0 2.116481-3 2.951209+0 1.705942-3 3.427678+0 1.361421-3 4.000000+0 1.087300-3 4.677351+0 8.723736-4 5.559043+0 6.895759-4 6.606934+0 5.492499-4 7.943282+0 4.342008-4 9.772372+0 3.360774-4 1.230269+1 2.551260-4 1.548817+1 1.952160-4 1.927525+1 1.523697-4 2.570396+1 1.108464-4 3.548134+1 7.825844-5 5.248075+1 5.173384-5 8.128305+1 3.284168-5 1.479108+2 1.779006-5 2.951209+2 8.842043-6 1.174898+3 2.206143-6 1.000000+5 2.586300-8 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 2.323400-4 1.766100-4 1.000000+5 1.766100-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 2.323400-4 2.060200-9 1.000000+5 2.060200-9 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 2.323400-4 5.572794-5 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 1.810000-4 2.880632+5 1.980000-4 2.050400+5 2.018366-4 1.915432+5 2.264644-4 1.301332+5 2.426610-4 1.041237+5 2.570396-4 8.703360+4 2.691535-4 7.594251+4 2.800000-4 6.802900+4 2.917427-4 6.111779+4 3.054921-4 5.464391+4 3.200000-4 4.918040+4 3.350000-4 4.463220+4 3.507519-4 4.079385+4 3.650000-4 3.797840+4 3.801894-4 3.551134+4 4.000000-4 3.290660+4 4.216965-4 3.061530+4 4.500000-4 2.823380+4 4.786301-4 2.632579+4 5.188000-4 2.422336+4 5.888437-4 2.147505+4 7.852356-4 1.652076+4 9.120108-4 1.431711+4 1.047129-3 1.245020+4 1.174898-3 1.101434+4 1.350000-3 9.426460+3 1.548817-3 8.015712+3 1.757924-3 6.851797+3 2.000000-3 5.799280+3 2.264644-3 4.905271+3 2.570396-3 4.107550+3 2.917427-3 3.415350+3 3.311311-3 2.819484+3 3.758374-3 2.310617+3 4.216965-3 1.915936+3 4.731513-3 1.579032+3 5.370318-3 1.267485+3 6.095369-3 1.010073+3 6.918310-3 7.990734+2 7.852356-3 6.277379+2 8.912509-3 4.897253+2 1.011579-2 3.794354+2 1.148154-2 2.919449+2 1.303167-2 2.230941+2 1.496236-2 1.650897+2 1.717908-2 1.212085+2 1.972423-2 8.830607+1 2.264644-2 6.384339+1 2.600160-2 4.581778+1 3.000000-2 3.225500+1 3.467369-2 2.243824+1 4.027170-2 1.530601+1 4.731513-2 1.005967+1 5.559043-2 6.561106+0 6.683439-2 3.993280+0 8.128305-2 2.336917+0 1.047129-1 1.159345+0 2.000000-1 1.893994-1 2.483133-1 1.039762-1 2.951209-1 6.486617-2 3.427678-1 4.337760-2 3.935501-1 3.012140-2 4.466836-1 2.171090-2 5.069907-1 1.576121-2 5.688529-1 1.185939-2 6.382635-1 8.985143-3 7.161434-1 6.857835-3 8.035261-1 5.275005-3 8.810489-1 4.296175-3 9.549926-1 3.611730-3 1.035142+0 3.056960-3 1.135011+0 2.543997-3 1.258925+0 2.084035-3 1.412538+0 1.682652-3 1.659587+0 1.258926-3 1.883649+0 1.009691-3 2.137962+0 8.160994-4 2.454709+0 6.516786-4 2.818383+0 5.240607-4 3.235937+0 4.244362-4 3.758374+0 3.403293-4 4.415704+0 2.704435-4 5.188000+0 2.165467-4 6.165950+0 1.719714-4 7.413102+0 1.355627-4 9.015711+0 1.061316-4 1.083927+1 8.486893-5 1.303167+1 6.823989-5 1.640590+1 5.228682-5 2.137962+1 3.884278-5 2.884032+1 2.798232-5 4.073803+1 1.932949-5 6.165950+1 1.250859-5 1.035142+2 7.328908-6 1.862087+2 4.029356-6 3.715352+2 2.005706-6 1.479108+3 5.011119-7 1.000000+5 7.399700-9 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 1.810000-4 1.273400-4 1.000000+5 1.273400-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.810000-4 6.052700-9 1.000000+5 6.052700-9 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 1.810000-4 5.365395-5 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 1.439100-4 6.725080+5 1.446000-4 6.501240+5 1.454000-4 6.284680+5 1.462177-4 6.100235+5 1.470000-4 5.957080+5 1.481000-4 5.809920+5 1.488000-4 5.695840+5 1.505000-4 5.394640+5 1.520000-4 5.180520+5 1.540000-4 4.941640+5 1.570000-4 4.645040+5 1.603245-4 4.377237+5 1.640590-4 4.131688+5 1.678804-4 3.924150+5 1.720000-4 3.735880+5 1.780000-4 3.506260+5 1.883649-4 3.183720+5 2.018366-4 2.847734+5 2.137962-4 2.612008+5 2.238721-4 2.453134+5 2.371374-4 2.285705+5 2.570396-4 2.089197+5 2.917427-4 1.829444+5 3.845918-4 1.388101+5 4.415704-4 1.201750+5 5.069907-4 1.032657+5 5.754399-4 8.919169+4 6.606934-4 7.540462+4 7.500000-4 6.414800+4 8.511380-4 5.424486+4 9.885531-4 4.411214+4 1.150000-3 3.549056+4 1.318257-3 2.896415+4 1.513561-3 2.343215+4 1.737801-3 1.883789+4 2.000000-3 1.498948+4 2.300000-3 1.186364+4 2.630268-3 9.418124+3 3.000000-3 7.463520+3 3.427678-3 5.858230+3 3.935501-3 4.523585+3 4.518559-3 3.466807+3 5.188000-3 2.635516+3 5.956621-3 1.988201+3 6.839116-3 1.488001+3 7.852356-3 1.105106+3 9.000000-3 8.172760+2 1.023293-2 6.110231+2 1.161449-2 4.555112+2 1.333521-2 3.281023+2 1.531087-2 2.344554+2 1.757924-2 1.662156+2 2.018366-2 1.169279+2 2.317395-2 8.162104+1 2.660725-2 5.654821+1 3.054921-2 3.888991+1 3.507519-2 2.655282+1 4.073803-2 1.742853+1 4.731513-2 1.135343+1 5.559043-2 7.100308+0 6.382635-2 4.718018+0 7.673615-2 2.713015+0 9.549926-2 1.394167+0 1.840772-1 1.849959-1 2.290868-1 9.492302-2 2.691535-1 5.844461-2 3.126079-1 3.753022-2 3.548134-1 2.597771-2 4.000000-1 1.846600-2 4.466836-1 1.358118-2 5.011872-1 9.928874-3 5.559043-1 7.538874-3 6.165950-1 5.762723-3 6.839117-1 4.436711-3 7.585776-1 3.440700-3 8.709636-1 2.470453-3 9.332543-1 2.107544-3 9.885531-1 1.857296-3 1.071519+0 1.570828-3 1.161449+0 1.337778-3 1.273503+0 1.121832-3 1.412538+0 9.279562-4 1.717908+0 6.545966-4 1.949845+0 5.259261-4 2.238721+0 4.179513-4 2.570396+0 3.345361-4 2.951209+0 2.696430-4 3.427678+0 2.151874-4 4.000000+0 1.718600-4 4.677351+0 1.378907-4 5.559043+0 1.089950-4 6.606934+0 8.681385-5 7.943282+0 6.862924-5 9.772372+0 5.311898-5 1.230269+1 4.032522-5 1.531087+1 3.126861-5 1.905461+1 2.439508-5 2.570396+1 1.751969-5 3.548134+1 1.237003-5 5.248075+1 8.176952-6 8.128305+1 5.190921-6 1.479108+2 2.811839-6 2.951209+2 1.397527-6 1.174898+3 3.487066-7 1.000000+5 4.087800-9 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 1.439100-4 1.260500-4 1.000000+5 1.260500-4 1 87000 7 7 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.439100-4 9.84360-10 1.000000+5 9.84360-10 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.439100-4 1.785902-5 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 6.873000-5 1.562040+6 6.876000-5 1.615792+6 6.890000-5 1.805240+6 6.905000-5 2.043736+6 6.925000-5 2.430604+6 6.941200-5 2.815201+6 6.955000-5 3.201356+6 6.975500-5 3.901801+6 6.998000-5 4.885160+6 7.015000-5 5.818360+6 7.022000-5 6.263009+6 7.040300-5 7.371047+6 7.050000-5 7.998686+6 7.100000-5 1.200687+7 7.110000-5 1.271993+7 7.220000-5 1.659305+7 7.232000-5 1.679290+7 7.357000-5 1.874195+7 7.510000-5 1.985265+7 7.520000-5 1.986368+7 7.700000-5 1.912145+7 7.762471-5 1.829327+7 7.780000-5 1.773593+7 7.920000-5 1.562869+7 7.950000-5 1.506108+7 8.000000-5 1.424260+7 8.060000-5 1.340216+7 8.128305-5 1.259165+7 8.190000-5 1.195992+7 8.270000-5 1.124788+7 8.400000-5 1.027728+7 8.570000-5 9.233280+6 9.440609-5 5.652032+6 1.023293-4 3.742233+6 1.080000-4 2.860736+6 1.150000-4 2.111516+6 1.273503-4 1.296344+6 1.364583-4 9.254869+5 1.650000-4 3.589652+5 1.737801-4 2.785131+5 1.820000-4 2.233960+5 1.883649-4 1.906211+5 1.950000-4 1.635144+5 2.000000-4 1.469124+5 2.060000-4 1.305076+5 2.113489-4 1.185591+5 2.162719-4 1.094060+5 2.213095-4 1.015917+5 2.264644-4 9.495955+4 2.318700-4 8.925024+4 2.371374-4 8.471625+4 2.430000-4 8.066480+4 2.483133-4 7.774756+4 2.540973-4 7.524707+4 2.600160-4 7.328904+4 2.670000-4 7.160920+4 2.730000-4 7.060160+4 2.818383-4 6.967875+4 2.917427-4 6.922442+4 3.019952-4 6.919184+4 3.162278-4 6.959901+4 3.801894-4 7.286849+4 4.073803-4 7.365769+4 4.350000-4 7.388320+4 4.623810-4 7.359249+4 4.897788-4 7.288124+4 5.188000-4 7.173754+4 5.500000-4 7.015680+4 5.900000-4 6.781080+4 6.309573-4 6.514722+4 6.760830-4 6.206864+4 7.244360-4 5.872891+4 7.852356-4 5.462764+4 8.413951-4 5.098646+4 9.120108-4 4.672856+4 9.885531-4 4.249797+4 1.071519-3 3.839254+4 1.174898-3 3.391533+4 1.300000-3 2.931572+4 1.428894-3 2.536834+4 1.566751-3 2.187073+4 1.698244-3 1.909677+4 1.862087-3 1.625002+4 2.041738-3 1.373266+4 2.264644-3 1.126781+4 2.511886-3 9.171864+3 2.786121-3 7.405977+3 3.054921-3 6.082105+3 3.388442-3 4.835351+3 3.758374-3 3.813669+3 4.168694-3 2.984197+3 4.623810-3 2.317115+3 5.128614-3 1.785820+3 5.688529-3 1.366441+3 6.309573-3 1.038072+3 7.000000-3 7.826400+2 7.762471-3 5.868576+2 8.709636-3 4.226672+2 9.772372-3 3.020516+2 1.096478-2 2.142140+2 1.230269-2 1.507985+2 1.380384-2 1.053956+2 1.548817-2 7.314919+1 1.757924-2 4.856571+1 2.000000-2 3.174501+1 2.264644-2 2.092506+1 2.600160-2 1.306374+1 3.000000-2 7.957302+0 3.467369-2 4.779259+0 4.073803-2 2.688014+0 4.841724-2 1.439568+0 5.888437-2 7.035144-1 7.673615-2 2.645948-1 1.303167-1 3.712669-2 1.603245-1 1.733047-2 1.905461-1 9.249850-3 2.213095-1 5.404351-3 2.540973-1 3.313886-3 2.884032-1 2.131397-3 3.273407-1 1.380198-3 3.630781-1 9.737578-4 4.000000-1 7.076600-4 4.415705-1 5.156725-4 4.954502-1 3.596018-4 5.559043-1 2.523332-4 6.095369-1 1.912751-4 6.683439-1 1.459892-4 7.328245-1 1.122509-4 8.511380-1 7.411597-5 9.015711-1 6.355520-5 9.440609-1 5.652684-5 9.885531-1 5.059025-5 1.035142+0 4.559464-5 1.096478+0 4.033854-5 1.161449+0 3.593656-5 1.244515+0 3.151704-5 1.348963+0 2.724038-5 1.531087+0 2.184458-5 1.819701+0 1.609998-5 2.018366+0 1.348665-5 2.317395+0 1.073837-5 2.660725+0 8.610208-6 3.054921+0 6.952294-6 3.548134+0 5.558458-6 4.120975+0 4.476972-6 4.841724+0 3.573476-6 5.754399+0 2.829113-6 6.839116+0 2.256588-6 8.222427+0 1.786437-6 1.011579+1 1.384602-6 1.258925+1 1.066915-6 1.566751+1 8.276541-7 1.972423+1 6.379823-7 2.630268+1 4.643803-7 3.672823+1 3.240514-7 5.432503+1 2.143596-7 8.511380+1 1.345579-7 1.566751+2 7.208433-8 3.126079+2 3.584402-8 1.244515+3 8.946265-9 1.000000+5 1.11110-10 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 6.873000-5 6.873000-5 1.000000+5 6.873000-5 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 6.873000-5 0.0 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 6.352000-5 2.335261+6 6.356000-5 2.420964+6 6.370000-5 2.688504+6 6.385000-5 3.022230+6 6.400000-5 3.414624+6 6.415000-5 3.872898+6 6.430000-5 4.412904+6 6.450000-5 5.278734+6 6.470000-5 6.355680+6 6.493000-5 7.921500+6 6.515000-5 9.839580+6 6.540000-5 1.268064+7 6.560000-5 1.561290+7 6.570000-5 1.735176+7 6.577000-5 1.852134+7 6.600000-5 2.374946+7 6.606934-5 2.553263+7 6.657000-5 3.299205+7 6.710000-5 3.748571+7 6.715000-5 3.771887+7 6.780000-5 3.906337+7 6.868000-5 3.904393+7 7.080000-5 3.251384+7 7.090000-5 3.254952+7 7.244360-5 2.784803+7 7.560000-5 2.102308+7 7.620000-5 1.982772+7 7.690000-5 1.863492+7 7.762471-5 1.756495+7 7.852356-5 1.641186+7 8.000000-5 1.481364+7 8.239100-5 1.272036+7 8.810489-5 9.052266+6 9.800000-5 5.233044+6 1.040000-4 3.880776+6 1.230269-4 1.704169+6 1.318257-4 1.208012+6 1.540000-4 5.507118+5 1.621810-4 4.266190+5 1.690000-4 3.504450+5 1.740000-4 3.063912+5 1.800000-4 2.638242+5 1.850000-4 2.352756+5 1.900000-4 2.118294+5 1.950000-4 1.925904+5 2.000000-4 1.768434+5 2.041738-4 1.659078+5 2.089296-4 1.555170+5 2.137962-4 1.468074+5 2.190000-4 1.392882+5 2.240000-4 1.335144+5 2.290868-4 1.288503+5 2.350000-4 1.246896+5 2.400000-4 1.220394+5 2.454709-4 1.198833+5 2.511886-4 1.183068+5 2.580000-4 1.171440+5 2.660725-4 1.165303+5 2.770000-4 1.166082+5 2.917427-4 1.176514+5 3.467369-4 1.230078+5 3.715352-4 1.243924+5 3.935501-4 1.248130+5 4.200000-4 1.243866+5 4.466836-4 1.230986+5 4.731513-4 1.211826+5 5.011872-4 1.185798+5 5.370318-4 1.146418+5 5.754399-4 1.100189+5 6.165950-4 1.048033+5 6.606934-4 9.916644+4 7.150000-4 9.232080+4 7.673615-4 8.606320+4 8.317638-4 7.882151+4 9.015711-4 7.168343+4 9.850000-4 6.408180+4 1.083927-3 5.624903+4 1.174898-3 5.006261+4 1.273503-3 4.430225+4 1.400000-3 3.809814+4 1.550000-3 3.211932+4 1.717908-3 2.679733+4 1.905461-3 2.213846+4 2.089296-3 1.854842+4 2.290868-3 1.544020+4 2.511886-3 1.277023+4 2.786121-3 1.023545+4 3.054921-3 8.351078+3 3.388442-3 6.592093+3 3.758374-3 5.162407+3 4.168694-3 4.010851+3 4.623810-3 3.091958+3 5.128614-3 2.365896+3 5.688529-3 1.797278+3 6.309573-3 1.355321+3 7.079458-3 9.823845+2 7.852356-3 7.301953+2 8.709636-3 5.391176+2 9.772372-3 3.819076+2 1.096478-2 2.684257+2 1.230269-2 1.872265+2 1.380384-2 1.296206+2 1.548817-2 8.908786+1 1.737801-2 6.079581+1 1.972423-2 3.962596+1 2.238721-2 2.563131+1 2.540973-2 1.645787+1 2.884032-2 1.049364+1 3.273407-2 6.641330+0 3.801894-2 3.835940+0 4.466836-2 2.106850+0 5.432503-2 1.008856+0 6.839116-2 4.206243-1 1.258925-1 4.081634-2 1.531088-1 1.944589-2 1.778279-1 1.109860-2 2.041738-1 6.660272-3 2.317395-1 4.201589-3 2.600160-1 2.783763-3 2.884032-1 1.934623-3 3.198895-1 1.353412-3 3.507519-1 9.914995-4 3.845918-1 7.314389-4 4.120975-1 5.854235-4 4.518559-1 4.382757-4 5.000000-1 3.213700-4 5.495409-1 2.420766-4 6.025596-1 1.850030-4 6.531306-1 1.472417-4 7.079458-1 1.179336-4 7.673615-1 9.507151-5 8.609938-1 7.035642-5 9.120108-1 6.090102-5 9.660509-1 5.308887-5 1.011579+0 4.785584-5 1.071519+0 4.232033-5 1.148154+0 3.679711-5 1.230269+0 3.221893-5 1.333521+0 2.778189-5 1.798871+0 1.636627-5 2.018366+0 1.343908-5 2.317395+0 1.069848-5 2.660725+0 8.578604-6 3.054921+0 6.927589-6 3.548134+0 5.538714-6 4.120975+0 4.461051-6 4.841724+0 3.560728-6 5.754399+0 2.819054-6 6.839116+0 2.248646-6 8.222427+0 1.780134-6 1.011579+1 1.379683-6 1.258925+1 1.063050-6 1.584893+1 8.138633-7 2.018366+1 6.195930-7 2.691535+1 4.512717-7 3.758374+1 3.150702-7 5.623413+1 2.060248-7 9.015711+1 1.263662-7 1.640590+2 6.854720-8 3.273407+2 3.409573-8 1.303167+3 8.512423-9 1.000000+5 1.10720-10 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 6.352000-5 6.352000-5 1.000000+5 6.352000-5 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 6.352000-5 0.0 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 3.264000-5 4.569980+5 3.330000-5 4.340380+5 3.427678-5 3.994876+5 3.550000-5 3.590720+5 3.715352-5 3.105050+5 4.400000-5 1.765602+5 4.623810-5 1.503792+5 4.841724-5 1.304669+5 5.011872-5 1.179567+5 5.188000-5 1.072663+5 5.370318-5 9.816506+4 5.559043-5 9.044004+4 5.754399-5 8.389820+4 5.956621-5 7.836637+4 6.165950-5 7.369046+4 6.400000-5 6.944840+4 6.650000-5 6.579700+4 6.918310-5 6.263282+4 7.244360-5 5.954681+4 7.673615-5 5.634657+4 8.222426-5 5.314642+4 1.122018-4 4.182032+4 1.333521-4 3.634136+4 1.531087-4 3.227801+4 1.720000-4 2.899260+4 1.927525-4 2.589651+4 2.238721-4 2.213203+4 2.570396-4 1.901776+4 2.917427-4 1.642659+4 3.507519-4 1.315891+4 4.027170-4 1.106623+4 4.786301-4 8.836130+3 5.623413-4 7.105921+3 6.683439-4 5.583825+3 7.943282-4 4.353357+3 9.440609-4 3.370646+3 1.161449-3 2.461360+3 1.445440-3 1.751859+3 1.840772-3 1.194292+3 2.344229-3 8.080778+2 2.917427-3 5.634975+2 3.630781-3 3.899676+2 4.466836-3 2.730331+2 5.432503-3 1.935169+2 6.095369-3 1.573184+2 7.585776-3 1.051761+2 9.440609-3 6.977687+1 1.202264-2 4.402673+1 1.462177-2 3.010754+1 1.757924-2 2.090187+1 2.065380-2 1.508768+1 2.483133-2 1.030709+1 2.985383-2 6.985765+0 3.589219-2 4.698014+0 4.315191-2 3.134830+0 5.128614-2 2.129979+0 6.165950-2 1.399334+0 7.413102-2 9.125938-1 8.709636-2 6.238604-1 1.083927-1 3.691929-1 1.396368-1 1.994373-1 2.600160-1 4.314425-2 3.235937-1 2.533962-2 3.845918-1 1.675744-2 4.518559-1 1.147433-2 5.188000-1 8.350694-3 5.956621-1 6.121314-3 6.839117-1 4.521786-3 7.852356-1 3.366684-3 8.912509-1 2.585327-3 9.885531-1 2.096400-3 1.188502+0 1.459881-3 1.318257+0 1.197380-3 1.500000+0 9.424700-4 1.698244+0 7.546927-4 1.927525+0 6.063058-4 2.213095+0 4.815273-4 2.540973+0 3.851954-4 2.917427+0 3.103013-4 3.349654+0 2.517572-4 3.890451+0 2.022134-4 4.570882+0 1.609648-4 5.432503+0 1.270986-4 6.456542+0 1.011335-4 7.762471+0 7.987406-5 9.549926+0 6.176716-5 1.202264+1 4.684279-5 1.513561+1 3.582516-5 1.862087+1 2.830227-5 2.483133+1 2.057099-5 3.427678+1 1.451095-5 5.000000+1 9.726800-6 7.673615+1 6.227999-6 1.396368+2 3.370942-6 2.786121+2 1.674621-6 5.559043+2 8.353791-7 2.213095+3 2.091080-7 1.000000+5 4.621700-9 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 3.264000-5 3.264000-5 1.000000+5 3.264000-5 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 3.264000-5 0.0 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 1.928000-5 3.276659+7 1.950000-5 3.035180+7 1.990000-5 2.669260+7 2.020000-5 2.440480+7 2.065380-5 2.151574+7 2.110000-5 1.918368+7 2.162719-5 1.693772+7 2.213095-5 1.516523+7 2.270000-5 1.350588+7 2.344229-5 1.175420+7 2.426610-5 1.020533+7 2.519300-5 8.820363+6 2.610000-5 7.734820+6 2.730000-5 6.593660+6 2.851018-5 5.688809+6 3.019952-5 4.713235+6 3.230000-5 3.815420+6 3.507519-5 2.969976+6 4.000000-5 2.013160+6 4.897788-5 1.110153+6 7.413102-5 3.224639+5 8.709636-5 2.006421+5 1.023293-4 1.257949+5 1.174898-4 8.495341+4 1.318257-4 6.169854+4 1.462177-4 4.658557+4 1.603245-4 3.654041+4 1.737801-4 2.973999+4 1.862087-4 2.508588+4 2.000000-4 2.118340+4 2.150000-4 1.799430+4 2.300000-4 1.556322+4 2.454709-4 1.361981+4 2.630268-4 1.190728+4 2.818383-4 1.049331+4 3.019952-4 9.319416+3 3.235937-4 8.340372+3 3.500000-4 7.410320+3 3.801894-4 6.591194+3 4.168694-4 5.833000+3 4.623810-4 5.125364+3 5.308844-4 4.352880+3 8.317638-4 2.622218+3 1.011579-3 2.088902+3 1.202264-3 1.695999+3 1.412538-3 1.386037+3 1.659587-3 1.124151+3 1.927525-3 9.187753+2 2.238721-3 7.453419+2 2.570396-3 6.101621+2 2.951209-3 4.959636+2 3.388442-3 4.001231+2 3.589219-3 3.646336+2 4.120975-3 2.890691+2 4.731513-3 2.275431+2 5.495409-3 1.742896+2 6.839116-3 1.169353+2 7.943282-3 8.834984+1 9.015711-3 6.922135+1 1.011579-2 5.508137+1 1.148154-2 4.239320+1 1.303167-2 3.238654+1 1.479108-2 2.456954+1 1.698244-2 1.804622+1 1.949845-2 1.315417+1 2.238721-2 9.516025+0 2.570396-2 6.833877+0 2.951209-2 4.873079+0 3.427678-2 3.352010+0 4.000000-2 2.260584+0 4.677351-2 1.504937+0 5.495409-2 9.823332-1 6.456542-2 6.367414-1 7.852356-2 3.730574-1 9.885531-2 1.972436-1 2.018366-1 2.676726-2 2.483133-1 1.507431-2 2.951209-1 9.404255-3 3.427678-1 6.288815-3 3.935501-1 4.366934-3 4.466836-1 3.147660-3 5.069907-1 2.285137-3 5.688529-1 1.719480-3 6.382635-1 1.302753-3 7.161434-1 9.943150-4 8.035261-1 7.648494-4 8.810489-1 6.229955-4 9.549926-1 5.237873-4 1.035142+0 4.433514-4 1.135011+0 3.689672-4 1.258925+0 3.022598-4 1.412538+0 2.440312-4 1.640590+0 1.863523-4 1.862087+0 1.493662-4 2.113489+0 1.206301-4 2.426610+0 9.626373-5 2.786121+0 7.737238-5 3.198895+0 6.263001-5 3.715352+0 5.019060-5 4.315191+0 4.051242-5 5.069907+0 3.240499-5 6.025596+0 2.570823-5 7.244360+0 2.024529-5 8.810489+0 1.583536-5 1.059254+1 1.265306-5 1.273503+1 1.016676-5 1.603245+1 7.785222-6 2.041738+1 5.929227-6 2.722701+1 4.319780-6 3.801894+1 3.016820-6 5.688529+1 1.973144-6 9.225714+1 1.196191-6 1.659587+2 6.567097-7 3.311311+2 3.266784-7 1.318257+3 8.156367-8 1.000000+5 1.073200-9 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 1.928000-5 1.928000-5 1.000000+5 1.928000-5 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 1.928000-5 0.0 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 1.414000-5 7.828061+7 1.440000-5 7.050080+7 1.480000-5 6.078360+7 1.531087-5 5.095568+7 1.590000-5 4.223920+7 1.640590-5 3.638624+7 1.698244-5 3.105756+7 1.770000-5 2.588188+7 1.850000-5 2.147460+7 1.927525-5 1.817301+7 2.018366-5 1.516501+7 2.113489-5 1.272917+7 2.238721-5 1.029906+7 2.371374-5 8.388116+6 2.540973-5 6.604345+6 2.754229-5 5.037157+6 3.019952-5 3.725924+6 3.349654-5 2.674229+6 3.801894-5 1.797803+6 4.265795-5 1.261599+6 4.731513-5 9.235066+5 5.188000-5 7.048740+5 5.623413-5 5.603481+5 6.025596-5 4.631227+5 6.500000-5 3.784184+5 7.000000-5 3.129596+5 7.500000-5 2.641424+5 8.035261-5 2.246184+5 8.609938-5 1.924222+5 9.120108-5 1.702014+5 9.660509-5 1.514098+5 1.035142-4 1.325421+5 1.109175-4 1.169297+5 1.198400-4 1.024471+5 1.303167-4 8.951470+4 1.428894-4 7.779170+4 1.566751-4 6.810119+4 1.720000-4 5.990680+4 1.927525-4 5.161333+4 2.300000-4 4.136920+4 3.935501-4 2.149674+4 4.677351-4 1.729377+4 5.559043-4 1.380988+4 6.683439-4 1.077762+4 7.762471-4 8.746828+3 9.120108-4 6.932391+3 1.071519-3 5.457645+3 1.244515-3 4.337606+3 1.479108-3 3.301822+3 1.798871-3 2.408563+3 2.113489-3 1.844181+3 2.454709-3 1.428719+3 2.754229-3 1.166979+3 3.162278-3 9.063516+2 3.630781-3 6.989323+2 4.216965-3 5.234378+2 4.897788-3 3.891114+2 5.754399-3 2.805348+2 6.839116-3 1.961623+2 7.762471-3 1.498598+2 8.609938-3 1.194180+2 9.772372-3 8.980201+1 1.122018-2 6.532254+1 1.288250-2 4.714980+1 1.479108-2 3.376487+1 1.698244-2 2.398597+1 1.949845-2 1.690615+1 2.238721-2 1.182400+1 2.570396-2 8.207188+0 2.951209-2 5.654753+0 3.388442-2 3.867658+0 3.935501-2 2.543135+0 4.570882-2 1.659298+0 5.370318-2 1.039379+0 6.237348-2 6.685651-1 7.498942-2 3.851298-1 9.225714-2 2.053901-1 1.148154-1 1.050268-1 1.819701-1 2.543222-2 2.290868-1 1.259836-2 2.691535-1 7.757630-3 3.126079-1 4.982022-3 3.548134-1 3.448759-3 4.000000-1 2.451800-3 4.466836-1 1.803503-3 5.011872-1 1.318768-3 5.559043-1 1.001550-3 6.165950-1 7.657734-4 6.839117-1 5.897125-4 7.585776-1 4.574650-4 8.609938-1 3.377040-4 9.225714-1 2.878761-4 9.772372-1 2.534633-4 1.047129+0 2.192565-4 1.135011+0 1.864006-4 1.244515+0 1.559925-4 1.380384+0 1.288029-4 1.698244+0 8.893423-5 1.927525+0 7.140552-5 2.187762+0 5.778794-5 2.511886+0 4.620015-5 2.884032+0 3.719572-5 3.311311+0 3.016030-5 3.845918+0 2.421131-5 4.518559+0 1.926179-5 5.308844+0 1.543874-5 6.309573+0 1.227255-5 7.585776+0 9.683615-6 9.225714+0 7.588043-6 1.135011+1 5.907312-6 1.428894+1 4.507788-6 1.800000+1 3.462400-6 2.400000+1 2.514700-6 3.273407+1 1.795428-6 4.731513+1 1.213828-6 7.161434+1 7.876799-7 1.288250+2 4.309618-7 2.570396+2 2.139144-7 5.128614+2 1.066561-7 4.073803+3 1.336814-8 1.000000+5 5.44250-10 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 1.414000-5 1.414000-5 1.000000+5 1.414000-5 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 1.414000-5 0.0 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 3.800000-6 2.294960+6 4.216965-6 1.620373+6 4.623810-6 1.199014+6 5.011872-6 9.272019+5 5.432503-6 7.215856+5 5.888437-6 5.655127+5 6.382635-6 4.461267+5 6.918310-6 3.541894+5 7.500000-6 2.828630+5 8.222426-6 2.205911+5 9.015711-6 1.731663+5 1.000000-5 1.329150+5 1.135011-5 9.694824+4 1.333521-5 6.538353+4 2.162719-5 2.036706+4 2.454709-5 1.510573+4 2.691535-5 1.222927+4 2.884032-5 1.050746+4 3.054921-5 9.316595+3 3.235937-5 8.314010+3 3.427678-5 7.468926+3 3.630781-5 6.757925+3 3.801894-5 6.276946+3 4.000000-5 5.826440+3 4.220000-5 5.426180+3 4.466836-5 5.066473+3 4.731513-5 4.755062+3 5.011872-5 4.490693+3 5.432503-5 4.181324+3 7.000000-5 3.383970+3 7.673615-5 3.109346+3 8.413951-5 2.839027+3 9.120108-5 2.601073+3 1.011579-4 2.307164+3 1.122018-4 2.028759+3 1.513561-4 1.380360+3 1.840772-4 1.090674+3 2.483133-4 7.638620+2 2.884032-4 6.351378+2 3.054921-4 5.896616+2 4.073803-4 3.986287+2 4.897788-4 3.119108+2 5.495409-4 2.655717+2 6.382635-4 2.138390+2 8.511380-4 1.402227+2 9.660509-4 1.156896+2 1.318257-3 7.139136+1 1.698244-3 4.783149+1 1.905461-3 3.974930+1 2.018366-3 3.596953+1 3.273407-3 1.615107+1 4.027170-3 1.138697+1 4.954502-3 7.938498+0 6.025596-3 5.605856+0 7.328245-3 3.928965+0 8.912509-3 2.733348+0 1.083927-2 1.887586+0 1.318257-2 1.293872+0 1.603245-2 8.800805-1 1.927525-2 6.078835-1 2.317395-2 4.163201-1 2.786121-2 2.829859-1 3.311311-2 1.956655-1 3.981072-2 1.310028-1 4.786301-2 8.702823-2 5.688529-2 5.887273-2 6.839116-2 3.851592-2 8.222426-2 2.501472-2 1.011580-1 1.525263-2 1.288250-1 8.492882-3 1.603245-1 4.969708-3 2.511886-1 1.643456-3 3.162278-1 9.381446-4 3.758374-1 6.201670-4 4.415705-1 4.245463-4 5.069907-1 3.089534-4 5.821032-1 2.265436-4 6.606935-1 1.716642-4 7.498942-1 1.310214-4 8.413951-1 1.032059-4 9.549926-1 7.997913-5 1.188502+0 5.209433-5 1.348963+0 4.090144-5 1.513561+0 3.304108-5 1.698244+0 2.689275-5 1.927525+0 2.160706-5 2.213095+0 1.715909-5 2.540973+0 1.372605-5 2.917427+0 1.105757-5 3.349654+0 8.971608-6 3.890451+0 7.206235-6 4.570882+0 5.736183-6 5.370318+0 4.600076-6 6.382635+0 3.658569-6 7.673615+0 2.888130-6 9.332543+0 2.264091-6 1.161449+1 1.739287-6 1.479108+1 1.310980-6 1.840772+1 1.021735-6 2.454709+1 7.423917-7 3.388442+1 5.235621-7 4.897788+1 3.542320-7 7.498942+1 2.272888-7 1.364583+2 1.229858-7 2.722701+2 6.108033-8 5.432503+2 3.046574-8 4.315191+3 3.819124-9 1.000000+5 1.64700-10 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 3.800000-6 3.800000-6 1.000000+5 3.800000-6 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 3.800000-6 0.0 1.000000+5 1.000000+5 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 7.083140-7 1.025800+0 1.276530-6 1.026100+0 1.601560-6 1.026600+0 2.257830-6 1.027100+0 3.071830-6 1.027500+0 3.847430-6 1.028100+0 5.238200-6 1.028750+0 7.083140-6 1.029500+0 9.693470-6 1.030100+0 1.219070-5 1.031000+0 1.668100-5 1.032000+0 2.282380-5 1.033200+0 3.197230-5 1.034000+0 3.924900-5 1.035300+0 5.327500-5 1.036640+0 7.083140-5 1.038200+0 9.558930-5 1.039700+0 1.241900-4 1.041500+0 1.652330-4 1.043800+0 2.293490-4 1.046400+0 3.190960-4 1.048300+0 3.972830-4 1.051200+0 5.389060-4 1.054080+0 7.083140-4 1.057700+0 9.654770-4 1.061100+0 1.255840-3 1.065100+0 1.662600-3 1.070400+0 2.319490-3 1.076200+0 3.205530-3 1.080600+0 4.003180-3 1.087100+0 5.393610-3 1.093710+0 7.083140-3 1.102600+0 9.820670-3 1.110700+0 1.280810-2 1.120600+0 1.713330-2 1.133300+0 2.382280-2 1.147500+0 3.289220-2 1.158200+0 4.087670-2 1.174100+0 5.463280-2 1.190110+0 7.083140-2 1.205100+0 8.816750-2 1.227500+0 1.180010-1 1.250000+0 1.525000-1 1.265600+0 1.788930-1 1.294900+0 2.334960-1 1.331800+0 3.105420-1 1.362600+0 3.808390-1 1.397000+0 4.646290-1 1.433800+0 5.592960-1 1.477900+0 6.780140-1 1.500000+0 7.393000-1 1.562500+0 9.172930-1 1.617200+0 1.077060+0 1.712900+0 1.359870+0 1.784700+0 1.571870+0 1.892300+0 1.886320+0 2.000000+0 2.196000+0 2.044000+0 2.321000+0 2.163500+0 2.653020+0 2.372600+0 3.206180+0 2.686300+0 3.973160+0 3.000000+0 4.678000+0 3.500000+0 5.704890+0 4.000000+0 6.637000+0 5.000000+0 8.273000+0 6.000000+0 9.682000+0 7.000000+0 1.092000+1 8.000000+0 1.204000+1 9.000000+0 1.307000+1 1.000000+1 1.401000+1 1.100000+1 1.488000+1 1.200000+1 1.569000+1 1.300000+1 1.645000+1 1.400000+1 1.716000+1 1.500000+1 1.783000+1 1.600000+1 1.845000+1 1.800000+1 1.957000+1 2.000000+1 2.057000+1 2.200000+1 2.148000+1 2.400000+1 2.231000+1 2.600000+1 2.307000+1 2.800000+1 2.376000+1 3.000000+1 2.441000+1 4.000000+1 2.702000+1 5.000000+1 2.896000+1 6.000000+1 3.047000+1 8.000000+1 3.268000+1 1.000000+2 3.423000+1 1.500000+2 3.670000+1 2.000000+2 3.816000+1 3.000000+2 3.986000+1 4.000000+2 4.083000+1 5.000000+2 4.147000+1 6.000000+2 4.193000+1 8.000000+2 4.254000+1 1.000000+3 4.293000+1 1.500000+3 4.350000+1 2.000000+3 4.381000+1 3.000000+3 4.414000+1 4.000000+3 4.432000+1 5.000000+3 4.444000+1 6.000000+3 4.452000+1 8.000000+3 4.462000+1 1.000000+4 4.469000+1 1.500000+4 4.478000+1 2.000000+4 4.483000+1 3.000000+4 4.488000+1 4.000000+4 4.490000+1 5.000000+4 4.492000+1 6.000000+4 4.493000+1 8.000000+4 4.495000+1 1.000000+5 4.496000+1 1 87000 7 8 2.230000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 8.705820-7 2.090400+0 1.182030-6 2.094700+0 1.532690-6 2.099900+0 2.039020-6 2.106600+0 2.836450-6 2.114000+0 3.924590-6 2.119500+0 4.886090-6 2.127900+0 6.626460-6 2.136250+0 8.705820-6 2.147000+0 1.193630-5 2.156900+0 1.550380-5 2.169000+0 2.069080-5 2.184500+0 2.876090-5 2.201800+0 3.979160-5 2.214800+0 4.957720-5 2.234200+0 6.669010-5 2.253680+0 8.705820-5 2.281500+0 1.219400-4 2.307000+0 1.601680-4 2.338200+0 2.153590-4 2.377400+0 2.982460-4 2.410200+0 3.793190-4 2.446800+0 4.825140-4 2.485900+0 6.075130-4 2.532900+0 7.774890-4 2.556430+0 8.705820-4 2.611900+0 1.110100-3 2.660400+0 1.342070-3 2.745300+0 1.796300-3 2.809000+0 2.175440-3 2.904500+0 2.802510-3 3.000000+0 3.498000-3 3.125000+0 4.510060-3 3.234400+0 5.486980-3 3.425800+0 7.386760-3 3.569300+0 8.954960-3 3.784700+0 1.150730-2 4.000000+0 1.425000-2 4.250000+0 1.760210-2 4.625000+0 2.286840-2 5.000000+0 2.834000-2 5.500000+0 3.584370-2 6.000000+0 4.344000-2 6.750000+0 5.472920-2 7.000000+0 5.844000-2 8.000000+0 7.294000-2 9.000000+0 8.678000-2 1.000000+1 9.989000-2 1.100000+1 1.123000-1 1.200000+1 1.239000-1 1.300000+1 1.349000-1 1.400000+1 1.453000-1 1.500000+1 1.551000-1 1.600000+1 1.644000-1 1.800000+1 1.816000-1 2.000000+1 1.972000-1 2.200000+1 2.114000-1 2.400000+1 2.244000-1 2.600000+1 2.364000-1 2.800000+1 2.475000-1 3.000000+1 2.577000-1 4.000000+1 3.000000-1 5.000000+1 3.317000-1 6.000000+1 3.566000-1 8.000000+1 3.938000-1 1.000000+2 4.206000-1 1.500000+2 4.644000-1 2.000000+2 4.915000-1 3.000000+2 5.244000-1 4.000000+2 5.440000-1 5.000000+2 5.573000-1 6.000000+2 5.670000-1 8.000000+2 5.803000-1 1.000000+3 5.892000-1 1.500000+3 6.023000-1 2.000000+3 6.098000-1 3.000000+3 6.179000-1 4.000000+3 6.227000-1 5.000000+3 6.256000-1 6.000000+3 6.276000-1 8.000000+3 6.304000-1 1.000000+4 6.321000-1 1.500000+4 6.344000-1 2.000000+4 6.358000-1 3.000000+4 6.371000-1 4.000000+4 6.380000-1 5.000000+4 6.385000-1 6.000000+4 6.388000-1 8.000000+4 6.391000-1 1.000000+5 6.394000-1 1 87000 7 8 2.230000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 87000 7 9 2.230000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 8.700000+1 1.000000+5 8.700000+1 5.000000+5 8.696900+1 8.750000+5 8.691730+1 1.000000+6 8.690500+1 1.250000+6 8.685510+1 1.500000+6 8.680400+1 1.750000+6 8.673040+1 2.000000+6 8.665700+1 2.250000+6 8.656460+1 2.500000+6 8.647300+1 2.875000+6 8.631270+1 3.000000+6 8.625500+1 3.250000+6 8.612560+1 3.625000+6 8.593470+1 4.000000+6 8.573500+1 4.437500+6 8.548120+1 5.000000+6 8.513800+1 5.500000+6 8.480690+1 6.250000+6 8.427570+1 6.500000+6 8.409860+1 7.000000+6 8.373500+1 9.000000+6 8.219700+1 1.000000+7 8.137400+1 1.187500+7 7.979770+1 1.250000+7 7.926300+1 1.437500+7 7.760410+1 1.500000+7 7.704600+1 1.750000+7 7.477500+1 2.000000+7 7.255100+1 2.250000+7 7.039180+1 2.375000+7 6.934600+1 2.500000+7 6.833200+1 2.750000+7 6.636780+1 3.000000+7 6.451200+1 3.250000+7 6.274100+1 3.500000+7 6.105240+1 3.812500+7 5.901350+1 4.000000+7 5.782900+1 4.500000+7 5.477920+1 5.000000+7 5.189800+1 5.500000+7 4.918930+1 6.000000+7 4.667100+1 6.750000+7 4.325450+1 7.000000+7 4.221000+1 8.000000+7 3.843300+1 9.000000+7 3.517500+1 1.000000+8 3.228200+1 1.062500+8 3.061150+1 1.125000+8 2.903060+1 1.156300+8 2.827010+1 1.250000+8 2.610900+1 1.375000+8 2.349050+1 1.500000+8 2.124400+1 1.718800+8 1.817420+1 1.859400+8 1.668080+1 1.875000+8 1.653360+1 2.000000+8 1.548200+1 2.125000+8 1.461770+1 2.312500+8 1.356570+1 2.375000+8 1.326320+1 2.500000+8 1.270900+1 2.718800+8 1.183440+1 2.859400+8 1.126190+1 2.875000+8 1.119600+1 2.964800+8 1.080500+1 3.000000+8 1.064600+1 3.125000+8 1.006370+1 3.359400+8 9.058720+0 3.375000+8 9.000380+0 3.500000+8 8.583500+0 3.625000+8 8.255310+0 3.859400+8 7.731930+0 4.000000+8 7.400600+0 4.125000+8 7.070180+0 4.234400+8 6.767950+0 4.425800+8 6.245710+0 4.712900+8 5.556350+0 4.750000+8 5.478670+0 4.856400+8 5.272960+0 5.000000+8 5.034800+0 5.179700+8 4.799450+0 5.330100+8 4.640940+0 5.425800+8 4.553330+0 6.000000+8 4.123500+0 6.250000+8 3.946330+0 7.000000+8 3.474200+0 7.500000+8 3.224010+0 7.750000+8 3.099110+0 8.000000+8 2.965500+0 8.250000+8 2.820980+0 1.000000+9 1.948000+0 1.031300+9 1.852050+0 1.074300+9 1.745990+0 1.113800+9 1.668390+0 1.162000+9 1.592640+0 1.204300+9 1.538910+0 1.250000+9 1.490280+0 1.278200+9 1.464140+0 1.500000+9 1.305900+0 1.625000+9 1.226990+0 1.753900+9 1.147670+0 1.894500+9 1.064200+0 2.000000+9 1.004000+0 2.139200+9 9.281430-1 2.272600+9 8.599680-1 2.443000+9 7.795310-1 2.602800+9 7.109970-1 2.750000+9 6.534430-1 2.752700+9 6.524410-1 2.959000+9 5.802880-1 3.148200+9 5.220080-1 3.379700+9 4.596800-1 3.676800+9 3.921430-1 3.986900+9 3.340010-1 4.240200+9 2.941570-1 4.511500+9 2.577460-1 4.837200+9 2.211210-1 5.000000+9 2.052600-1 5.375000+9 1.737780-1 5.703100+9 1.510960-1 6.277300+9 1.197740-1 7.031000+9 9.029410-2 8.000000+9 6.493800-2 9.500000+9 4.152160-2 1.00000+10 3.630200-2 1.54060+10 1.162020-2 2.73280+10 2.558260-3 6.36640+10 2.742340-4 1.00000+11 8.323400-5 1.68570+11 2.121320-5 3.34410+11 3.578350-6 8.62510+11 3.120070-7 2.83020+12 1.505550-8 1.00000+14 1.84210-12 3.16230+15 2.86724-16 1.00000+17 4.26110-20 1 87000 7 0 2.230000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.22000-11 1.000000+2 1.220000-9 1.000000+3 1.220000-7 1.000000+4 1.220000-5 1.000000+5 1.220000-3 5.000000+5 3.050000-2 8.750000+5 9.340625-2 1.000000+6 1.220000-1 1.250000+6 1.888020-1 1.500000+6 2.684000-1 1.750000+6 3.594160-1 2.000000+6 4.607000-1 2.250000+6 5.711540-1 2.500000+6 6.895000-1 2.875000+6 8.789890-1 3.000000+6 9.448000-1 3.250000+6 1.079450+0 3.625000+6 1.287510+0 4.000000+6 1.500500+0 4.437500+6 1.752030+0 5.000000+6 2.078000+0 5.500000+6 2.368490+0 6.250000+6 2.807060+0 6.500000+6 2.954290+0 7.000000+6 3.251600+0 9.000000+6 4.482100+0 1.000000+7 5.124000+0 1.187500+7 6.356610+0 1.250000+7 6.770800+0 1.437500+7 8.005880+0 1.500000+7 8.415000+0 1.750000+7 1.003000+1 2.000000+7 1.160900+1 2.250000+7 1.314380+1 2.375000+7 1.388730+1 2.500000+7 1.461400+1 2.750000+7 1.600240+1 3.000000+7 1.730300+1 3.250000+7 1.851610+1 3.500000+7 1.966110+1 3.812500+7 2.102400+1 4.000000+7 2.181600+1 4.500000+7 2.387360+1 5.000000+7 2.587800+1 5.500000+7 2.785480+1 6.000000+7 2.979100+1 6.750000+7 3.257220+1 7.000000+7 3.346300+1 8.000000+7 3.679500+1 9.000000+7 3.974000+1 1.000000+8 4.231500+1 1.062500+8 4.376350+1 1.125000+8 4.511500+1 1.156300+8 4.576090+1 1.250000+8 4.760200+1 1.375000+8 4.988030+1 1.500000+8 5.201300+1 1.718800+8 5.544550+1 1.859400+8 5.747390+1 1.875000+8 5.768920+1 2.000000+8 5.936800+1 2.125000+8 6.094170+1 2.312500+8 6.310980+1 2.375000+8 6.378430+1 2.500000+8 6.506200+1 2.718800+8 6.706670+1 2.859400+8 6.821190+1 2.875000+8 6.833280+1 2.964800+8 6.901250+1 3.000000+8 6.926800+1 3.125000+8 7.012510+1 3.359400+8 7.156190+1 3.375000+8 7.164840+1 3.500000+8 7.233100+1 3.625000+8 7.296400+1 3.859400+8 7.403510+1 4.000000+8 7.462400+1 4.125000+8 7.510330+1 4.234400+8 7.551340+1 4.425800+8 7.617200+1 4.712900+8 7.706140+1 4.750000+8 7.716920+1 4.856400+8 7.747460+1 5.000000+8 7.786600+1 5.179700+8 7.832530+1 5.330100+8 7.868950+1 5.425800+8 7.891120+1 6.000000+8 8.012800+1 6.250000+8 8.058530+1 7.000000+8 8.178900+1 7.500000+8 8.243870+1 7.750000+8 8.272610+1 8.000000+8 8.299200+1 8.250000+8 8.322600+1 1.000000+9 8.444900+1 1.031300+9 8.459810+1 1.074300+9 8.479000+1 1.113800+9 8.494550+1 1.162000+9 8.510600+1 1.204300+9 8.524030+1 1.250000+9 8.536160+1 1.278200+9 8.543170+1 1.500000+9 8.587900+1 1.625000+9 8.606180+1 1.753900+9 8.623560+1 1.894500+9 8.637960+1 2.000000+9 8.648100+1 2.139200+9 8.658140+1 2.272600+9 8.665750+1 2.443000+9 8.673840+1 2.602800+9 8.680070+1 2.750000+9 8.684290+1 2.752700+9 8.684360+1 2.959000+9 8.688730+1 3.148200+9 8.691590+1 3.379700+9 8.694880+1 3.676800+9 8.696430+1 3.986900+9 8.697870+1 4.240200+9 8.698810+1 4.511500+9 8.699030+1 4.837200+9 8.699280+1 5.000000+9 8.699400+1 5.375000+9 8.699490+1 5.703100+9 8.699570+1 6.277300+9 8.699690+1 7.031000+9 8.699840+1 8.000000+9 8.700000+1 9.500000+9 8.700000+1 1.00000+10 8.700000+1 1.54060+10 8.700000+1 2.73280+10 8.700000+1 6.36640+10 8.700000+1 1.00000+11 8.700000+1 1.68570+11 8.700000+1 3.34410+11 8.700000+1 8.62510+11 8.700000+1 2.83020+12 8.700000+1 1.00000+14 8.700000+1 3.16230+15 8.700000+1 1.00000+17 8.700000+1 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.333712-6 0.0 1.338637-6 2.696050+0 1.340278-6 3.583334+0 1.343561-6 6.545253+0 1.346843-6 1.103620+1 1.350537-6 1.811370+1 1.356288-6 3.174253+1 1.360180-6 4.040569+1 1.363559-6 4.547915+1 1.366999-6 4.701835+1 1.370194-6 4.494824+1 1.373780-6 3.898019+1 1.379318-6 2.602882+1 1.382954-6 1.759542+1 1.386237-6 1.135899+1 1.389519-6 6.769144+0 1.392802-6 3.723762+0 1.397521-6 1.064763+0 1.399368-6 0.0 1.512170-6 0.0 1.518683-6 6.649104+0 1.519614-6 7.589284+0 1.523336-6 1.386245+1 1.527058-6 2.337399+1 1.531245-6 3.836372+1 1.537766-6 6.722874+1 1.542179-6 8.557678+1 1.546270-6 9.661276+1 1.549826-6 9.966597+1 1.553454-6 9.542370+1 1.557503-6 8.295105+1 1.563362-6 5.749146+1 1.568000-6 3.726602+1 1.571722-6 2.405765+1 1.575444-6 1.433664+1 1.579166-6 7.886701+0 1.584749-6 2.004831+0 1.586610-6 0.0 1.821623-6 0.0 1.826107-6 1.621573-6 1.830590-6 3.208646-6 1.835074-6 5.860854-6 1.839558-6 9.882206-6 1.844042-6 1.538157-5 1.848525-6 2.210046-5 1.853009-6 2.931271-5 1.857493-6 3.588926-5 1.861976-6 4.056270-5 1.866460-6 4.231976-5 1.870944-6 4.075805-5 1.875427-6 3.623578-5 1.879911-6 2.973828-5 1.888878-6 1.575557-5 1.893362-6 1.017125-5 1.897846-6 6.061334-6 1.902330-6 3.334390-6 1.906813-6 1.693240-6 1.910047-6 4.729731-7 1.911297-6 8.144731-7 1.919449-6 6.070840-6 1.924151-6 1.108889-5 1.928852-6 1.869739-5 1.933553-6 2.910233-5 1.938255-6 4.181464-5 1.942956-6 5.546040-5 1.947657-6 6.790339-5 1.952359-6 7.674567-5 1.957060-6 8.007006-5 1.961761-6 7.711528-5 1.966463-6 6.855902-5 1.971164-6 5.626558-5 1.980567-6 2.980993-5 1.985268-6 1.924426-5 1.989969-6 1.146820-5 1.994671-6 6.308751-6 1.999372-6 3.203653-6 2.004073-6 0.0 2.148898-6 0.0 2.154187-6 1.93536-15 2.159476-6 3.82954-15 2.164765-6 6.99498-15 2.170055-6 1.17945-14 2.175344-6 1.83580-14 2.180633-6 2.63771-14 2.185922-6 3.49850-14 2.191212-6 4.28341-14 2.196501-6 4.84119-14 2.201790-6 5.05090-14 2.207079-6 4.86451-14 2.212368-6 4.32477-14 2.217658-6 3.54929-14 2.228236-6 1.88044-14 2.233525-6 1.21395-14 2.238815-6 7.23425-15 2.244104-6 3.97962-15 2.249393-6 2.02090-15 2.254682-6 0.0 2.556759-6 0.0 2.566198-6 4.701630-2 2.569345-6 6.248961-2 2.575638-6 1.141424-1 2.581931-6 1.924597-1 2.588224-6 2.995620-1 2.598451-6 5.181242-1 2.607104-6 6.989570-1 2.614184-6 7.942430-1 2.620530-6 8.201413-1 2.628334-6 9.874609-1 2.634029-6 1.073890+0 2.640375-6 1.262311+0 2.646969-6 1.622151+0 2.653700-6 2.193537+0 2.665431-6 3.526256+0 2.672534-6 4.362354+0 2.679486-6 4.891031+0 2.685871-6 5.041966+0 2.692448-6 4.809577+0 2.699244-6 4.197022+0 2.717483-6 1.884467+0 2.723933-6 1.216552+0 2.730384-6 7.249841-1 2.736835-6 3.988270-1 2.744658-6 1.595314-1 2.749736-6 1.525628-5 2.757813-6 1.468836-5 2.768683-6 1.299183-5 2.782017-6 9.910692-6 2.803855-6 3.938063-6 2.808685-6 3.002336-6 2.815352-6 1.938203-6 2.822019-6 1.155031-6 2.828687-6 6.353918-7 2.835354-6 3.226590-7 2.842021-6 0.0 3.026204-6 0.0 3.033652-6 5.982873-3 3.041101-6 1.183846-2 3.048550-6 2.162391-2 3.056225-6 3.707670-2 3.063747-6 1.112376-1 3.071270-6 1.887147-1 3.078792-6 3.029325-1 3.086315-6 4.595936-1 3.097477-6 7.663024-1 3.112024-6 1.199062+0 3.118088-6 1.343919+0 3.123927-6 1.444542+0 3.132390-6 1.466353+0 3.140143-6 1.371611+0 3.148340-6 1.174324+0 3.169063-6 5.248541-1 3.176585-6 3.355193-1 3.184108-6 1.999483-1 3.191630-6 1.099954-1 3.203269-6 2.532993-2 3.206675-6 3.683681-6 3.208845-6 3.177274-6 3.210872-6 2.768097-6 3.218476-6 1.540811-6 3.223971-6 8.573188-7 3.226080-6 6.985955-7 3.233683-6 3.547545-7 3.241287-6 0.0 3.257520-6 0.0 3.265538-6 2.144825-3 3.273556-6 4.244018-3 3.273946-6 4.414149-3 3.282004-6 3.122793-2 3.290063-6 5.938590-2 3.298121-6 1.047299-1 3.306180-6 1.712183-1 3.314238-6 2.593939-1 3.334384-6 5.210097-1 3.338413-6 5.690677-1 3.346472-6 6.334623-1 3.354530-6 6.523213-1 3.362588-6 6.212512-1 3.370647-6 5.470548-1 3.393826-6 2.459837-1 3.398608-6 1.949474-1 3.402880-6 1.576552-1 3.410939-6 1.099278-1 3.415338-6 9.487803-2 3.418997-6 8.640998-2 3.423703-6 8.576189-2 3.432069-6 9.533065-2 3.435114-6 1.030027-1 3.440434-6 1.325455-1 3.461347-6 2.738778-1 3.465530-6 3.003372-1 3.473895-6 3.369780-1 3.482260-6 3.544492-1 3.490625-6 3.472770-1 3.503173-6 3.017554-1 3.515721-6 2.475832-1 3.524372-6 2.223000-1 3.532451-6 2.139626-1 3.541722-6 2.207659-1 3.555620-6 2.406211-1 3.574139-6 2.517189-1 3.614789-6 2.358951-1 3.681238-6 2.253490-1 3.734785-6 1.911810-1 3.767887-6 1.741525-1 3.781359-6 1.730491-1 3.799950-6 1.635578-1 3.839434-6 1.318811-1 3.866659-6 1.206420-1 3.921861-6 1.158546-1 4.315191-6 9.284345-2 4.753830-6 7.467072-2 5.205543-6 6.141613-2 5.712653-6 5.069296-2 6.290462-6 4.194200-2 6.993802-6 3.441279-2 7.765484-6 2.861736-2 8.734488-6 2.353326-2 9.931730-6 1.923683-2 1.007385-5 1.882506-2 1.011724-5 1.928839+0 1.012344-5 2.198914+0 1.014823-5 4.000980+0 1.017303-5 6.733357+0 1.020092-5 1.103948+1 1.024393-5 1.924532+1 1.027531-5 2.480058+1 1.029855-5 2.765439+1 1.032408-5 2.867657+1 1.035006-5 2.728387+1 1.037605-5 2.381103+1 1.041660-5 1.619318+1 1.044578-5 1.072349+1 1.047212-5 6.754815+0 1.049614-5 4.078512+0 1.052094-5 2.248534+0 1.055522-5 6.926248-1 1.056975-5 1.751390-2 1.160913-5 1.535225-2 1.189551-5 1.480939-2 1.195407-5 1.839473+0 1.198393-5 3.393394+0 1.201379-5 1.261472+1 1.204292-5 2.230165+1 1.207242-5 3.724449+1 1.210192-5 5.816082+1 1.213510-5 8.868037+1 1.219041-5 1.464940+2 1.222463-5 1.755733+2 1.225771-5 1.909243+2 1.228747-5 1.908462+2 1.231748-5 1.770805+2 1.235203-5 1.480353+2 1.242638-5 7.416952+1 1.245588-5 5.145559+1 1.248538-5 3.465326+1 1.251488-5 2.385494+1 1.255368-5 1.451860+1 1.257387-5 8.955229+0 1.258963-5 8.291582+0 1.267402-5 3.747708+0 1.270411-5 2.424109+0 1.273419-5 1.449966+0 1.274617-5 1.193034+0 1.276428-5 9.621870-1 1.278257-5 8.853575-1 1.282424-5 3.959693+0 1.284599-5 5.971657+0 1.287801-5 1.081007+1 1.291148-5 1.845109+1 1.294691-5 2.949671+1 1.303271-5 6.023923+1 1.307341-5 6.923468+1 1.310590-5 7.061636+1 1.313495-5 6.736328+1 1.317527-5 5.688801+1 1.325200-5 3.344627+1 1.326381-5 3.053180+1 1.329027-5 2.550226+1 1.332155-5 2.255581+1 1.335364-5 2.248822+1 1.341576-5 2.701207+1 1.345673-5 3.217611+1 1.348710-5 3.455080+1 1.353107-5 3.535802+1 1.367437-5 3.077321+1 1.391209-5 2.761449+1 1.398123-5 2.575431+1 1.417391-5 1.816054+1 1.423323-5 1.642060+1 1.431692-5 1.509152+1 1.446309-5 1.420227+1 1.513753-5 1.182825+1 1.523798-5 1.245903+1 1.528452-5 1.327843+1 1.537992-5 1.595944+1 1.545206-5 1.779268+1 1.550325-5 1.813599+1 1.555150-5 1.742033+1 1.563356-5 1.478766+1 1.571268-5 1.215558+1 1.575922-5 1.105590+1 1.581507-5 1.028689+1 1.588012-5 9.687076+0 1.681252-5 7.844340+0 1.694795-5 7.624126+0 1.703138-5 1.475641+1 1.707570-5 2.126028+1 1.711777-5 3.063521+1 1.716590-5 4.553745+1 1.728610-5 8.940807+1 1.733560-5 1.001871+2 1.736750-5 1.028496+2 1.741219-5 9.825902+1 1.746116-5 8.523627+1 1.757368-5 4.447948+1 1.761539-5 3.224204+1 1.765788-5 2.310060+1 1.770040-5 1.697112+1 1.777916-5 9.373280+0 1.778225-5 9.061245+0 1.779861-5 8.875703+0 1.789170-5 1.031514+1 1.793286-5 1.174971+1 1.797803-5 1.450123+1 1.802534-5 1.879215+1 1.815937-5 3.357968+1 1.820166-5 3.663638+1 1.824867-5 3.799229+1 1.829418-5 3.678978+1 1.836162-5 3.210572+1 1.842625-5 2.687679+1 1.846862-5 2.442123+1 1.850619-5 2.304794+1 1.855200-5 2.250342+1 1.875888-5 2.369775+1 1.903611-5 2.143261+1 1.919687-5 1.921635+1 1.944096-5 1.487581+1 1.957767-5 1.339533+1 1.975923-5 1.255955+1 2.071084-5 1.038225+1 2.180378-5 8.641896+0 2.271172-5 7.573309+0 2.385620-5 6.550296+0 2.571261-5 5.352666+0 2.759926-5 4.492879+0 2.973296-5 3.786463+0 2.995251-5 3.889581+0 3.014464-5 4.223088+0 3.039573-5 4.734685+0 3.053798-5 4.698270+0 3.078708-5 4.054785+0 3.097709-5 3.651622+0 3.119726-5 3.526168+0 3.163035-5 3.723762+0 3.331258-5 3.167200+0 3.630781-5 2.650903+0 4.000000-5 2.176110+0 4.403805-5 1.793621+0 4.841724-5 1.487906+0 5.333732-5 1.234404+0 5.969664-5 1.002161+0 5.999051-5 1.172659+0 6.013745-5 1.316481+0 6.028439-5 1.536870+0 6.050471-5 2.027169+0 6.089319-5 3.028944+0 6.104307-5 3.296073+0 6.118975-5 3.406525+0 6.139001-5 3.307625+0 6.180478-5 2.785888+0 6.194856-5 2.683996+0 6.209076-5 2.662741+0 6.240935-5 2.836352+0 6.302892-5 3.287607+0 6.349410-5 3.601087+0 6.381622-5 4.078005+0 6.410780-5 4.857516+0 6.435515-5 5.817539+0 6.458742-5 7.024648+0 6.481755-5 8.614199+0 6.502617-5 1.044250+1 6.529441-5 1.342484+1 6.566249-5 1.864603+1 6.631826-5 2.875554+1 6.670737-5 3.317054+1 6.715849-5 3.655086+1 6.781852-5 3.940083+1 6.883201-5 4.044660+1 6.968085-5 4.074969+1 7.177048-5 4.643680+1 7.351405-5 4.674999+1 7.574983-5 4.433668+1 7.822441-5 3.861477+1 8.118670-5 3.140627+1 8.369602-5 2.726109+1 8.759917-5 2.261304+1 9.217702-5 1.841078+1 9.760983-5 1.461108+1 1.035142-4 1.158087+1 1.098711-4 9.227051+0 1.152925-4 7.712833+0 1.220926-4 6.246160+0 1.290540-4 5.090224+0 1.367481-4 4.105615+0 1.377579-4 4.211965+0 1.384548-4 4.509716+0 1.398572-4 5.437376+0 1.405578-4 5.582679+0 1.431310-4 5.459706+0 1.457348-4 4.587126+0 1.473691-4 4.353543+0 1.550029-4 3.663316+0 1.641588-4 3.088118+0 1.731257-4 2.692746+0 1.749220-4 2.739188+0 1.758727-4 2.915615+0 1.768817-4 3.234819+0 1.789676-4 4.016306+0 1.798217-4 4.140945+0 1.807490-4 4.007884+0 1.827888-4 3.329617+0 1.840772-4 3.099937+0 1.853225-4 3.017309+0 1.992764-4 2.614469+0 2.141327-4 2.344848+0 2.263306-4 2.217696+0 2.293368-4 2.319603+0 2.318450-4 2.398295+0 2.365144-4 2.321026+0 2.536977-4 2.262362+0 2.555518-4 2.343685+0 2.566893-4 2.482359+0 2.600321-4 3.221078+0 2.613680-4 3.323386+0 2.643912-4 3.241658+0 2.666252-4 3.496547+0 2.685710-4 3.721148+0 2.700592-4 3.658800+0 2.730000-4 3.333635+0 2.753000-4 3.211287+0 2.807000-4 3.179680+0 2.890000-4 3.339480+0 2.964688-4 3.669427+0 3.034215-4 4.161777+0 3.112612-4 4.979363+0 3.202474-4 6.297602+0 3.322182-4 8.614965+0 3.525000-4 1.342195+1 3.823842-4 2.068765+1 4.077262-4 2.554126+1 4.326601-4 2.905362+1 4.646265-4 3.189564+1 5.084520-4 3.385874+1 5.602640-4 3.475960+1 5.741357-4 3.634839+1 5.956621-4 3.736141+1 6.127045-4 3.832294+1 6.880414-4 3.751652+1 8.088990-4 3.495743+1 8.285615-4 3.644039+1 9.808186-4 3.233620+1 1.130010-3 2.939148+1 1.469846-3 2.300680+1 1.724456-3 1.940551+1 2.063110-3 1.584547+1 2.475551-3 1.275046+1 2.911196-3 1.042124+1 2.942648-3 1.050022+1 2.956893-3 1.107942+1 2.967077-3 1.206736+1 2.978251-3 1.393062+1 2.991287-3 1.709608+1 3.012957-3 2.289537+1 3.026251-3 2.536567+1 3.044090-3 2.678862+1 3.095652-3 2.635976+1 3.116975-3 2.743883+1 3.162337-3 3.301747+1 3.187731-3 3.402303+1 3.432903-3 2.995477+1 3.581966-3 2.820229+1 3.624477-3 2.911606+1 3.669696-3 3.089069+1 3.733078-3 3.069730+1 4.225248-3 2.558155+1 4.388779-3 2.565760+1 4.601317-3 2.436618+1 4.712803-3 2.418650+1 5.521941-3 1.929341+1 6.251790-3 1.609060+1 7.169168-3 1.310494+1 8.104943-3 1.089051+1 9.153252-3 9.030547+0 1.041541-2 7.389635+0 1.180252-2 6.071998+0 1.350906-2 4.900001+0 1.468924-2 4.305597+0 1.479168-2 4.422435+0 1.485421-2 4.719797+0 1.491285-2 5.275458+0 1.497019-2 6.099395+0 1.511351-2 8.501315+0 1.519097-2 9.310473+0 1.527162-2 9.655150+0 1.562909-2 9.466967+0 1.758117-2 7.773255+0 1.775609-2 7.881772+0 1.788988-2 8.480763+0 1.810841-2 9.841963+0 1.827543-2 1.015630+1 1.852899-2 1.038361+1 1.884790-2 1.110028+1 2.278405-2 8.376685+0 2.607294-2 6.768683+0 2.992113-2 5.420439+0 3.297018-2 4.625176+0 3.731931-2 3.772245+0 4.182214-2 3.120268+0 4.737326-2 2.531273+0 5.346168-2 2.063058+0 6.050578-2 1.670182+0 6.826445-2 1.358925+0 7.689506-2 1.106716+0 8.586636-2 9.151112-1 9.709291-2 7.396502-1 9.913663-2 7.188701-1 9.969378-2 7.430021-1 1.000539-1 8.015218-1 1.003436-1 8.957959-1 1.005912-1 1.021866+0 1.008906-1 1.237283+0 1.012257-1 1.551120+0 1.019618-1 2.313111+0 1.024099-1 2.659371+0 1.029509-1 2.880894+0 1.036335-1 2.951717+0 1.232657-1 2.267968+0 1.400922-1 1.850871+0 1.592310-1 1.507679+0 1.819701-1 1.216157+0 2.044678-1 1.008238+0 2.306399-1 8.311762-1 2.601132-1 6.872414-1 2.930459-1 5.703932-1 3.319843-1 4.715996-1 3.787814-1 3.877738-1 4.318297-1 3.215057-1 4.930052-1 2.677889-1 5.623413-1 2.252230-1 6.401032-1 1.914565-1 7.328245-1 1.629539-1 8.333256-1 1.409687-1 9.633741-1 1.210048-1 1.173413+0 9.757266-2 1.347258+0 8.340160-2 1.546860+0 7.128869-2 1.776032+0 6.093501-2 2.039158+0 5.208506-2 2.341267+0 4.452044-2 2.688134+0 3.805447-2 3.086391+0 3.252759-2 3.543651+0 2.780342-2 4.068655+0 2.376536-2 4.709870+0 2.013307-2 5.616308+0 1.647855-2 6.448384+0 1.408527-2 7.403736+0 1.203959-2 8.500626+0 1.029101-2 9.760024+0 8.796382-3 1.000000+1 1.830887-2 1 87000 7 0 2.230000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-8.525804+1 1.240754-6-8.150574+1 1.302819-6-7.708790+1 1.326601-6-7.165423+1 1.333918-6-6.704593+1 1.347972-6-5.544715+1 1.352332-6-5.448199+1 1.356288-6-5.718456+1 1.360180-6-6.420871+1 1.363931-6-7.436986+1 1.367965-6-8.689838+1 1.374106-6-7.062888+1 1.378257-6-6.466088+1 1.382954-6-6.338257+1 1.389519-6-6.771678+1 1.404020-6-7.975504+1 1.423971-6-8.617147+1 1.478104-6-7.718080+1 1.497644-6-7.007562+1 1.507892-6-6.286726+1 1.512170-6-5.704173+1 1.519614-6-4.584451+1 1.523801-6-3.868646+1 1.528337-6-3.234694+1 1.531245-6-3.024726+1 1.533586-6-3.063049+1 1.535781-6-3.261976+1 1.537766-6-3.635379+1 1.540768-6-4.533395+1 1.544687-6-6.290290+1 1.549015-6-8.659239+1 1.550901-6-7.480579+1 1.554246-6-5.584899+1 1.557884-6-3.918177+1 1.560556-6-3.066071+1 1.562446-6-2.636791+1 1.564278-6-2.393739+1 1.565906-6-2.284656+1 1.567477-6-2.264376+1 1.570792-6-2.488898+1 1.575444-6-3.165747+1 1.581667-6-4.169188+1 1.586378-6-4.849667+1 1.589125-6-5.303135+1 1.597183-6-5.987207+1 1.610846-6-6.604995+1 1.635796-6-7.170827+1 1.694932-6-7.715657+1 1.861976-6-8.152917+1 2.639983-6-8.666177+1 2.672534-6-8.623196+1 2.712531-6-8.141917+1 2.842021-6-8.416356+1 3.123927-6-8.504091+1 3.210872-6-8.451921+1 6.894446-6-8.713595+1 9.221343-6-8.269562+1 9.861708-6-7.807374+1 1.004749-5-7.349832+1 1.020092-5-6.361418+1 1.024393-5-6.512839+1 1.028616-5-7.169820+1 1.035914-5-8.907887+1 1.040541-5-8.223956+1 1.044578-5-8.127652+1 1.056975-5-8.876087+1 1.069714-5-8.344862+1 1.136121-5-7.009694+1 1.160913-5-6.134890+1 1.174456-5-5.316157+1 1.183552-5-4.443150+1 1.188495-5-3.735199+1 1.192986-5-2.826904+1 1.195407-5-2.213192+1 1.196713-5-1.807414+1 1.197553-5-1.506485+1 1.198183-5-1.231585+1 1.198580-5-9.957025+0 1.198930-5-8.308914+0 1.199542-5-5.826600+0 1.201379-5 6.884031-1 1.202836-5 5.618239+0 1.203928-5 9.566973+0 1.204661-5 1.290178+1 1.206920-5 2.083893+1 1.207611-5 2.382509+1 1.210561-5 3.192382+1 1.212174-5 3.371237+1 1.213510-5 3.417119+1 1.214807-5 3.242888+1 1.216262-5 2.812951+1 1.217478-5 2.271787+1 1.218259-5 1.823751+1 1.218650-5 1.561836+1 1.220658-5-7.578425-1 1.221062-5-4.364851+0 1.221366-5-7.223725+0 1.221820-5-1.184844+1 1.222162-5-1.575726+1 1.222463-5-1.979516+1 1.224689-5-4.579676+1 1.226086-5-6.580283+1 1.228028-5-9.109229+1 1.229057-5-7.593661+1 1.231220-5-4.958007+1 1.231748-5-4.258823+1 1.232838-5-3.125148+1 1.234497-5-1.573442+1 1.234861-5-1.269680+1 1.235203-5-1.013929+1 1.235843-5-5.877029+0 1.236404-5-2.617287+0 1.236894-5-8.179443-2 1.237323-5 1.910500+0 1.238074-5 4.912295+0 1.238637-5 6.767381+0 1.239059-5 7.934408+0 1.239693-5 9.306818+0 1.240326-5 1.011008+1 1.241482-5 1.064963+1 1.242060-5 1.045178+1 1.242349-5 1.015427+1 1.244113-5 6.975487+0 1.244851-5 5.452836+0 1.245219-5 4.470488+0 1.245957-5 1.690491+0 1.247247-5-2.216800+0 1.247893-5-4.317671+0 1.248215-5-5.514835+0 1.248907-5-8.707844+0 1.251973-5-1.974223+1 1.254095-5-2.614979+1 1.256630-5-3.355129+1 1.258377-5-4.078027+1 1.261909-5-4.994798+1 1.278200-5-8.341814+1 1.282103-5-9.219515+1 1.291355-5-7.316252+1 1.295948-5-6.895265+1 1.299356-5-7.070178+1 1.301831-5-7.492711+1 1.306345-5-8.920126+1 1.307186-5-9.285873+1 1.314160-5-6.506356+1 1.317527-5-5.618620+1 1.320609-5-5.227450+1 1.323576-5-5.168280+1 1.326381-5-5.467678+1 1.331956-5-6.442562+1 1.337317-5-7.315583+1 1.343514-5-7.783617+1 1.348710-5-7.541955+1 1.357039-5-6.980470+1 1.367437-5-6.787015+1 1.396676-5-6.371434+1 1.411307-5-6.275965+1 1.452901-5-7.024958+1 1.518750-5-7.733389+1 1.537992-5-7.944328+1 1.563356-5-7.267163+1 1.652716-5-8.577119+1 1.678692-5-7.711200+1 1.690571-5-6.926956+1 1.694979-5-6.358958+1 1.703138-5-5.281183+1 1.712332-5-3.974232+1 1.717314-5-3.701272+1 1.719821-5-3.806101+1 1.723274-5-4.227786+1 1.726587-5-4.962521+1 1.728610-5-5.703697+1 1.732860-5-7.398958+1 1.735378-5-8.610273+1 1.742034-5-5.321181+1 1.746820-5-3.621728+1 1.748676-5-3.167800+1 1.751545-5-2.685301+1 1.753547-5-2.479788+1 1.755218-5-2.390494+1 1.756830-5-2.389770+1 1.761018-5-2.689634+1 1.765788-5-3.322451+1 1.774923-5-4.608765+1 1.778430-5-5.189903+1 1.782334-5-5.815419+1 1.798321-5-7.475407+1 1.806524-5-7.888438+1 1.814242-5-7.727971+1 1.824072-5-6.774185+1 1.830468-5-6.075634+1 1.837778-5-5.660967+1 1.842625-5-5.630547+1 1.860148-5-6.115688+1 1.875888-5-6.078151+1 1.930590-5-5.705079+1 1.997744-5-6.154850+1 2.241367-5-6.566326+1 3.039573-5-7.058482+1 3.119726-5-7.045264+1 5.104796-5-7.829887+1 5.818446-5-8.520146+1 6.118975-5-9.117477+1 6.282773-5-9.579232+1 6.442494-5-1.053113+2 6.566249-5-1.134423+2 6.645564-5-1.117709+2 6.844858-5-9.687356+1 7.139351-5-8.564062+1 7.447596-5-7.023806+1 7.732985-5-5.974098+1 7.983665-5-5.500033+1 8.622138-5-5.238431+1 9.898427-5-5.220543+1 1.457348-4-5.923250+1 1.794004-4-6.178340+1 2.536977-4-6.703683+1 3.034215-4-7.305517+1 3.457471-4-7.888763+1 3.823842-4-7.849178+1 5.317957-4-6.127110+1 5.695557-4-5.969839+1 6.127045-4-5.491201+1 6.619209-4-4.951693+1 7.422170-4-4.388088+1 8.088990-4-4.133912+1 8.285615-4-4.095119+1 8.718115-4-3.756402+1 9.672891-4-3.366212+1 1.093369-3-3.011132+1 1.252716-3-2.683001+1 1.469846-3-2.431027+1 1.724456-3-2.305071+1 2.063110-3-2.301781+1 2.383005-3-2.448354+1 2.617506-3-2.690246+1 2.775994-3-2.997580+1 2.871938-3-3.339693+1 2.925483-3-3.698661+1 2.961001-3-4.186193+1 2.986269-3-4.588804+1 3.001638-3-4.649872+1 3.026251-3-4.365631+1 3.059376-3-3.895051+1 3.086694-3-3.782225+1 3.132100-3-3.887366+1 3.155071-3-3.729352+1 3.199050-3-3.171720+1 3.237195-3-2.879329+1 3.318369-3-2.548552+1 3.432903-3-2.277184+1 3.540079-3-2.154192+1 3.596597-3-2.193435+1 3.636728-3-2.245769+1 3.669696-3-2.158865+1 3.733078-3-1.887612+1 3.822557-3-1.681507+1 3.971121-3-1.471771+1 4.149663-3-1.322584+1 4.255817-3-1.300171+1 4.315970-3-1.300822+1 4.417408-3-1.168288+1 4.529932-3-1.092271+1 4.620765-3-1.069319+1 4.748858-3-9.362437+0 4.927982-3-8.216562+0 5.245715-3-6.882925+0 5.649375-3-5.798656+0 6.073478-3-5.061595+0 6.484478-3-4.607228+0 7.169168-3-4.215703+0 8.104943-3-4.061327+0 9.153252-3-4.200943+0 1.041541-2-4.601209+0 1.180252-2-5.294699+0 1.294333-2-6.138540+0 1.373819-2-7.049778+0 1.425300-2-8.003746+0 1.456070-2-8.970725+0 1.473689-2-9.982011+0 1.497019-2-1.225415+1 1.504713-2-1.243722+1 1.513925-2-1.184461+1 1.531379-2-9.987918+0 1.546734-2-8.969615+0 1.572894-2-8.032143+0 1.613933-2-7.261165+0 1.662301-2-6.848914+0 1.713665-2-6.825003+0 1.750023-2-7.177703+0 1.770682-2-7.771382+0 1.788988-2-8.523782+0 1.801411-2-8.594183+0 1.832497-2-7.501817+0 1.865098-2-7.083054+0 1.901098-2-5.772022+0 1.932184-2-5.025015+0 1.982567-2-4.241343+0 2.041738-2-3.591202+0 2.089296-2-3.181069+0 2.182357-2-2.585520+0 2.278405-2-2.142954+0 2.394611-2-1.761065+0 2.508274-2-1.490748+0 2.647069-2-1.254823+0 2.754229-2-1.123993+0 2.931492-2-9.759763-1 3.111001-2-8.891473-1 3.297018-2-8.462036-1 3.506832-2-8.262842-1 3.845918-2-8.444258-1 4.531292-2-9.698818-1 7.082304-2-1.609907+0 8.310272-2-1.992323+0 9.024358-2-2.322867+0 9.452563-2-2.642980+0 9.709291-2-2.959890+0 9.877600-2-3.317845+0 9.983154-2-3.746370+0 1.010891-1-4.475771+0 1.015688-1-4.545634+0 1.021946-1-4.314190+0 1.033951-1-3.536074+0 1.042971-1-3.149363+0 1.057770-1-2.773383+0 1.080710-1-2.406162+0 1.113094-1-2.080279+0 1.152326-1-1.813467+0 1.206534-1-1.566020+0 1.277461-1-1.359895+0 1.364583-1-1.198770+0 1.479517-1-1.069036+0 1.638230-1-9.748524-1 1.891135-1-9.176743-1 2.306399-1-9.116256-1 4.502332-1-1.037620+0 7.563973-1-1.103782+0 2.039158+0-1.138220+0 6.158159+0-1.147102+0 1.000000+1-1.146029+0 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.686467-1 1.082889-6 5.568151-1 1.125396-6 6.854087-1 1.180833-6 8.980499-1 1.212469-6 1.046125+0 1.240150-6 1.195561+0 1.264370-6 1.343962+0 1.285564-6 1.489321+0 1.304108-6 1.631052+0 1.336560-6 1.912312+0 1.360899-6 2.155115+0 1.379153-6 2.360436+0 1.406535-6 2.709448+0 1.444504-6 3.284130+0 1.472739-6 3.803265+0 1.500975-6 4.420218+0 1.520189-6 4.906934+0 1.534895-6 5.321910+0 1.548681-6 5.751318+0 1.574529-6 6.669060+0 1.597147-6 7.615353+0 1.616938-6 8.582264+0 1.634254-6 9.557335+0 1.649407-6 1.052899+1 1.662665-6 1.148821+1 1.674265-6 1.242510+1 1.694567-6 1.431288+1 1.709793-6 1.598111+1 1.721213-6 1.741107+1 1.738342-6 1.989822+1 1.746907-6 2.132573+1 1.759792-6 2.376173+1 1.772755-6 2.663816+1 1.785717-6 3.004946+1 1.798680-6 3.414307+1 1.807322-6 3.735107+1 1.815963-6 4.103701+1 1.824605-6 4.530980+1 1.833247-6 5.031367+1 1.841889-6 5.624403+1 1.847445-6 6.066898+1 1.852654-6 6.535171+1 1.857537-6 7.030387+1 1.862115-6 7.553813+1 1.866407-6 8.106861+1 1.870431-6 8.691150+1 1.874203-6 9.308598+1 1.877739-6 9.961490+1 1.881055-6 1.065251+2 1.887271-6 1.221641+2 1.892711-6 1.398363+2 1.897470-6 1.597385+2 1.901635-6 1.818952+2 1.905278-6 2.061099+2 1.908467-6 2.319831+2 1.911257-6 2.589777+2 1.913698-6 2.864994+2 1.915834-6 3.139694+2 1.919338-6 3.667968+2 1.925152-6 4.790646+2 1.931640-6 6.460361+2 1.935539-6 7.686490+2 1.937915-6 8.512442+2 1.940291-6 9.392410+2 1.945043-6 1.128358+3 1.945637-6 1.152917+3 1.949796-6 1.327514+3 1.951429-6 1.396226+3 1.954548-6 1.524768+3 1.956182-6 1.589570+3 1.957741-6 1.649052+3 1.959895-6 1.726347+3 1.961714-6 1.786317+3 1.964053-6 1.854845+3 1.966132-6 1.906452+3 1.968555-6 1.954147+3 1.971330-6 1.990753+3 1.973706-6 2.005786+3 1.974533-6 2.007381+3 1.976894-6 2.001493+3 1.978636-6 1.987275+3 1.983283-6 1.909972+3 1.984765-6 1.874059+3 1.988251-6 1.770823+3 1.990089-6 1.707120+3 1.992567-6 1.612925+3 1.994980-6 1.513965+3 1.997320-6 1.413199+3 1.999399-6 1.321141+3 2.001571-6 1.223891+3 2.004448-6 1.095592+3 2.006824-6 9.919018+2 2.009498-6 8.794773+2 2.011577-6 7.960915+2 2.016626-6 6.118457+2 2.017740-6 5.750602+2 2.019411-6 5.226354+2 2.021081-6 4.735503+2 2.023161-6 4.171299+2 2.025834-6 3.520586+2 2.027969-6 3.059103+2 2.030273-6 2.616189+2 2.031797-6 2.352888+2 2.034809-6 1.896774+2 2.037775-6 1.523393+2 2.040694-6 1.219973+2 2.043568-6 9.749124+1 2.046397-6 7.779752+1 2.049183-6 6.203412+1 2.053279-6 4.416290+1 2.057291-6 3.146058+1 2.065046-6 1.620089+1 2.067551-6 1.311525+1 2.070016-6 1.071704+1 2.071230-6 9.737873+0 2.072434-6 8.883579+0 2.073629-6 8.142446+0 2.074814-6 7.504082+0 2.075990-6 6.959256+0 2.077157-6 6.499758+0 2.078314-6 6.118277+0 2.079463-6 5.808287+0 2.080033-6 5.678494+0 2.080601-6 5.564375+0 2.081588-6 5.400572+0 2.082150-6 5.326388+0 2.083268-6 5.217751+0 2.084378-6 5.159171+0 2.085480-6 5.146975+0 2.087665-6 5.249455+0 2.089816-6 5.502486+0 2.091934-6 5.886718+0 2.125287-6 2.586216+1 2.131541-6 3.284542+1 2.137404-6 4.076008+1 2.142900-6 4.963978+1 2.161658-6 9.560133+1 2.165639-6 1.100236+2 2.169371-6 1.258114+2 2.172869-6 1.430892+2 2.176149-6 1.619886+2 2.179224-6 1.826390+2 2.182106-6 2.051570+2 2.184809-6 2.296356+2 2.187342-6 2.561352+2 2.189718-6 2.846764+2 2.191944-6 3.152365+2 2.194032-6 3.477485+2 2.197946-6 4.207017+2 2.201371-6 5.000718+2 2.204368-6 5.839950+2 2.209285-6 7.574349+2 2.218285-6 1.224424+3 2.223112-6 1.574939+3 2.226330-6 1.853669+3 2.229138-6 2.128018+3 2.230823-6 2.306828+3 2.233562-6 2.620159+3 2.236301-6 2.960951+3 2.241778-6 3.717964+3 2.242463-6 3.818826+3 2.247256-6 4.554328+3 2.249138-6 4.853514+3 2.252733-6 5.430747+3 2.255514-6 5.874510+3 2.258210-6 6.293888+3 2.260992-6 6.707278+3 2.263688-6 7.081239+3 2.266084-6 7.385333+3 2.268732-6 7.683985+3 2.269508-6 7.763163+3 2.272717-6 8.046475+3 2.275223-6 8.214066+3 2.278143-6 8.345362+3 2.280875-6 8.403197+3 2.282874-6 8.405009+3 2.285597-6 8.352667+3 2.287504-6 8.279224+3 2.291417-6 8.038622+3 2.293604-6 7.855463+3 2.295078-6 7.714082+3 2.297237-6 7.483450+3 2.299334-6 7.235521+3 2.302030-6 6.887498+3 2.304426-6 6.555991+3 2.306737-6 6.221656+3 2.310246-6 5.696803+3 2.312984-6 5.281386+3 2.316065-6 4.816977+3 2.318462-6 4.463028+3 2.323939-6 3.696162+3 2.327619-6 3.225172+3 2.329417-6 3.010264+3 2.333525-6 2.558853+3 2.338661-6 2.074119+3 2.349293-6 1.334945+3 2.353488-6 1.127589+3 2.355574-6 1.039213+3 2.359728-6 8.883940+2 2.363850-6 7.671964+2 2.367939-6 6.698013+2 2.371997-6 5.912761+2 2.376023-6 5.275638+2 2.380017-6 4.754096+2 2.383980-6 4.322556+2 2.387913-6 3.961232+2 2.391814-6 3.654991+2 2.395685-6 3.392339+2 2.403367-6 2.963553+2 2.410929-6 2.629276+2 2.418372-6 2.360858+2 2.425699-6 2.140441+2 2.432912-6 1.956280+2 2.440012-6 1.800272+2 2.447001-6 1.666589+2 2.453881-6 1.550910+2 2.460653-6 1.449940+2 2.467320-6 1.361123+2 2.480445-6 1.211248+2 2.493159-6 1.091034+2 2.505477-6 9.927076+1 2.517409-6 9.110210+1 2.528968-6 8.422742+1 2.540167-6 7.837685+1 2.551015-6 7.334782+1 2.561524-6 6.898415+1 2.581886-6 6.168805+1 2.600975-6 5.595279+1 2.618871-6 5.134687+1 2.635649-6 4.758604+1 2.651378-6 4.447131+1 2.666124-6 4.185707+1 2.693772-6 3.759764+1 2.717965-6 3.442602+1 2.739133-6 3.200541+1 2.776178-6 2.838288+1 2.803962-6 2.607594+1 2.845637-6 2.313098+1 2.908633-6 1.951053+1 3.001021-6 1.547802+1 3.029448-6 1.446001+1 3.199163-6 9.139511+0 3.241592-6 7.845849+0 3.271425-6 6.899722+0 3.283607-6 6.492931+0 3.304925-6 5.736564+0 3.320914-6 5.118282+0 3.332905-6 4.618808+0 3.341899-6 4.224185+0 3.348644-6 3.919403+0 3.353703-6 3.688039+0 3.357497-6 3.514305+0 3.363188-6 3.255966+0 3.370952-6 2.915149+0 3.385463-6 2.356433+0 3.391683-6 2.165855+0 3.393756-6 2.110546+0 3.402048-6 1.935130+0 3.404898-6 1.892837+0 3.410340-6 1.839141+0 3.412629-6 1.827462+0 3.415242-6 1.822256+0 3.417201-6 1.824162+0 3.420141-6 1.836646+0 3.423080-6 1.861167+0 3.426600-6 1.907435+0 3.428389-6 1.938548+0 3.431376-6 2.002938+0 3.433296-6 2.053280+0 3.435739-6 2.128547+0 3.437700-6 2.198969+0 3.440642-6 2.323397+0 3.443583-6 2.473576+0 3.445095-6 2.562129+0 3.451997-6 3.086186+0 3.454372-6 3.321110+0 3.457014-6 3.622337+0 3.460411-6 4.079894+0 3.464089-6 4.678111+0 3.468242-6 5.502735+0 3.474010-6 6.957097+0 3.485190-6 1.102906+1 3.488536-6 1.261679+1 3.497403-6 1.771991+1 3.500150-6 1.956559+1 3.507107-6 2.476554+1 3.510177-6 2.727812+1 3.513956-6 3.052348+1 3.517332-6 3.354077+1 3.520789-6 3.671385+1 3.524698-6 4.035969+1 3.528585-6 4.399337+1 3.531993-6 4.713973+1 3.536926-6 5.154616+1 3.540530-6 5.459055+1 3.544861-6 5.798212+1 3.548492-6 6.055030+1 3.551621-6 6.253019+1 3.555998-6 6.489652+1 3.559903-6 6.657670+1 3.565963-6 6.832827+1 3.568832-6 6.878532+1 3.572932-6 6.902469+1 3.575568-6 6.892685+1 3.578204-6 6.863882+1 3.581333-6 6.806100+1 3.585438-6 6.693961+1 3.589397-6 6.550494+1 3.594979-6 6.297837+1 3.599240-6 6.072563+1 3.601371-6 5.951554+1 3.607764-6 5.564094+1 3.616287-6 5.017014+1 3.624811-6 4.471538+1 3.636599-6 3.774398+1 3.647019-6 3.246303+1 3.650967-6 3.070714+1 3.658617-6 2.768734+1 3.665788-6 2.528887+1 3.672512-6 2.338180+1 3.678815-6 2.185593+1 3.690634-6 1.955265+1 3.700975-6 1.799358+1 3.710023-6 1.688137+1 3.725858-6 1.532400+1 3.737735-6 1.437743+1 3.755549-6 1.318725+1 3.773363-6 1.218165+1 3.829089-6 9.638466+0 3.847665-6 8.863177+0 3.856952-6 8.469444+0 3.866240-6 8.066080+0 3.875528-6 7.649730+0 3.884815-6 7.218719+0 3.893985-6 6.780143+0 3.908097-6 6.095307+0 3.922738-6 5.426531+0 3.927530-6 5.234273+0 3.934137-6 5.005976+0 3.937440-6 4.912229+0 3.941907-6 4.812052+0 3.953650-6 4.733362+0 3.955327-6 4.748175+0 3.965015-6 4.985788+0 3.968596-6 5.144965+0 3.975432-6 5.564300+0 3.978739-6 5.822902+0 3.981895-6 6.103807+0 3.986406-6 6.562118+0 3.993115-6 7.361170+0 4.006732-6 9.340132+0 4.013012-6 1.036002+1 4.019320-6 1.140879+1 4.024731-6 1.230065+1 4.032096-6 1.345925+1 4.034350-6 1.379344+1 4.042767-6 1.492105+1 4.046074-6 1.530204+1 4.052386-6 1.591542+1 4.057576-6 1.629818+1 4.060538-6 1.646502+1 4.063129-6 1.657976+1 4.067664-6 1.671035+1 4.071066-6 1.675044+1 4.076167-6 1.672081+1 4.081269-6 1.658960+1 4.088535-6 1.624542+1 4.090957-6 1.609432+1 4.100645-6 1.534213+1 4.110333-6 1.441676+1 4.115177-6 1.391446+1 4.120021-6 1.339791+1 4.129708-6 1.235301+1 4.146226-6 1.065056+1 4.158354-6 9.539826+0 4.168586-6 8.725120+0 4.173388-6 8.386141+0 4.178190-6 8.076907+0 4.189106-6 7.492481+0 4.199367-6 7.106004+0 4.204497-6 6.976107+0 4.209627-6 6.889994+0 4.212192-6 6.863539+0 4.219888-6 6.850394+0 4.222453-6 6.867723+0 4.226942-6 6.923204+0 4.230309-6 6.984945+0 4.235359-6 7.107609+0 4.240409-6 7.262670+0 4.248104-6 7.549703+0 4.260930-6 8.109699+0 4.273755-6 8.671765+0 4.281450-6 8.962903+0 4.284016-6 9.047572+0 4.291711-6 9.256161+0 4.298765-6 9.380475+0 4.302132-6 9.415878+0 4.307182-6 9.439891+0 4.312232-6 9.430065+0 4.319927-6 9.355551+0 4.330188-6 9.165168+0 4.343013-6 8.838425+0 4.360538-6 8.375597+0 4.374406-6 8.095397+0 4.382411-6 7.986692+0 4.392072-6 7.907708+0 4.395575-6 7.891755+0 4.406160-6 7.876016+0 4.445280-6 7.955879+0 4.455831-6 7.954050+0 4.480234-6 7.893123+0 4.503618-6 7.806616+0 4.591211-6 7.589929+0 4.626102-6 7.482528+0 4.666345-6 7.301638+0 4.706797-6 7.125684+0 4.745040-6 7.025712+0 4.796101-6 6.911417+0 4.833020-6 6.792686+0 4.896990-6 6.572988+0 5.405432-6 5.248595+0 5.571211-6 4.929955+0 5.659177-6 4.758291+0 5.766573-6 4.542264+0 5.879968-6 4.310498+0 6.000000-6 4.063738+0 6.144000-6 3.767159+0 6.222534-6 3.606456+0 6.371262-6 3.307510+0 6.528361-6 3.000205+0 6.637690-6 2.792089+0 6.771304-6 2.545290+0 6.908360-6 2.300394+0 7.040088-6 2.075220+0 7.212826-6 1.795656+0 7.310840-6 1.645218+0 7.485580-6 1.392634+0 7.680000-6 1.132829+0 7.798606-6 9.858223-1 7.955589-6 8.068597-1 8.108148-6 6.476567-1 8.322539-6 4.368856-1 8.436591-6 3.371664-1 8.542969-6 2.548231-1 8.630508-6 1.949087-1 8.728288-6 1.371169-1 8.837722-6 8.451166-2 8.921776-6 5.349501-2 9.016258-6 2.904959-2 9.076904-6 1.951292-2 9.109265-6 1.654242-2 9.155041-6 1.497110-2 9.200460-6 1.651609-2 9.245524-6 2.100116-2 9.290236-6 2.776288-2 9.356607-6 3.852876-2 9.411241-6 4.305607-2 9.416669-6 4.313762-2 9.470718-6 4.020709-2 9.513671-6 3.425617-2 9.556288-6 2.727538-2 9.600000-6 2.074998-2 9.640526-6 1.619302-2 9.682152-6 1.342039-2 9.764754-6 1.420488-2 9.846065-6 2.370016-2 9.926106-6 4.228639-2 1.000490-5 7.039553-2 1.008245-5 1.083248-1 1.018348-5 1.739317-1 1.023396-5 2.141612-1 1.030794-5 2.830907-1 1.038800-5 3.723075-1 1.045245-5 4.560841-1 1.059358-5 6.783691-1 1.073030-5 9.500189-1 1.086275-5 1.275781+0 1.099106-5 1.659395+0 1.111536-5 2.103630+0 1.123577-5 2.611743+0 1.135243-5 3.188211+0 1.146543-5 3.836887+0 1.157491-5 4.561187+0 1.168096-5 5.365929+0 1.178371-5 6.256242+0 1.190174-5 7.428753+0 1.216355-5 1.073146+1 1.257530-5 1.874482+1 1.279274-5 2.511072+1 1.292873-5 3.017382+1 1.305623-5 3.587400+1 1.318257-5 4.265908+1 1.328781-5 4.938237+1 1.339287-5 5.729379+1 1.350000-5 6.686588+1 1.358369-5 7.563050+1 1.367025-5 8.614457+1 1.375671-5 9.841928+1 1.382748-5 1.100527+2 1.389880-5 1.235144+2 1.396567-5 1.380231+2 1.402836-5 1.536037+2 1.408712-5 1.702777+2 1.414222-5 1.880632+2 1.419387-5 2.069735+2 1.424230-5 2.270141+2 1.428770-5 2.481819+2 1.433026-5 2.704656+2 1.438712-5 3.046133+2 1.444263-5 3.438135+2 1.447551-5 3.703420+2 1.453715-5 4.283360+2 1.459109-5 4.902784+2 1.463829-5 5.558559+2 1.467959-5 6.246785+2 1.471572-5 6.962045+2 1.474734-5 7.696937+2 1.477501-5 8.442219+2 1.479921-5 9.187536+2 1.482039-5 9.922401+2 1.485746-5 1.142643+3 1.488526-5 1.276742+3 1.492175-5 1.485609+3 1.495694-5 1.728328+3 1.500551-5 2.143419+3 1.506077-5 2.756902+3 1.507920-5 3.002846+3 1.511604-5 3.572575+3 1.515288-5 4.270370+3 1.518973-5 5.133973+3 1.522657-5 6.210821+3 1.527012-5 7.833079+3 1.534420-5 1.168706+4 1.537022-5 1.340290+4 1.539904-5 1.551376+4 1.544352-5 1.912669+4 1.545760-5 2.033061+4 1.548805-5 2.296622+4 1.550062-5 2.404541+4 1.551858-5 2.555392+4 1.553301-5 2.672047+4 1.554834-5 2.789700+4 1.556821-5 2.929869+4 1.558370-5 3.027293+4 1.559731-5 3.102875+4 1.561889-5 3.201106+4 1.563781-5 3.263074+4 1.565755-5 3.301856+4 1.567597-5 3.313193+4 1.569422-5 3.300469+4 1.571300-5 3.262798+4 1.574187-5 3.158638+4 1.575877-5 3.073827+4 1.577034-5 3.006636+4 1.578687-5 2.899117+4 1.579750-5 2.823655+4 1.580813-5 2.743869+4 1.581979-5 2.652044+4 1.583510-5 2.525903+4 1.585478-5 2.356863+4 1.587359-5 2.190965+4 1.589241-5 2.023846+4 1.591358-5 1.837638+4 1.593005-5 1.696147+4 1.596768-5 1.390865+4 1.598062-5 1.293325+4 1.600532-5 1.119369+4 1.603354-5 9.415739+3 1.606486-5 7.711552+3 1.610077-5 6.093927+3 1.616976-5 3.863505+3 1.619083-5 3.372026+3 1.620783-5 3.027809+3 1.623010-5 2.638559+3 1.624567-5 2.403034+3 1.627147-5 2.068859+3 1.629644-5 1.801676+3 1.632266-5 1.568879+3 1.634539-5 1.399324+3 1.638400-5 1.164410+3 1.642209-5 9.821872+2 1.644230-5 9.007317+2 1.646251-5 8.278748+2 1.650293-5 7.035425+2 1.654335-5 6.023499+2 1.658377-5 5.197511+2 1.661142-5 4.722647+2 1.664441-5 4.238225+2 1.666462-5 3.980280+2 1.668483-5 3.748356+2 1.670677-5 3.522668+2 1.672525-5 3.351139+2 1.674546-5 3.180199+2 1.678588-5 2.880102+2 1.687683-5 2.327599+2 1.696254-5 1.892051+2 1.700082-5 1.734098+2 1.702022-5 1.668323+2 1.703946-5 1.615055+2 1.705547-5 1.581220+2 1.707466-5 1.554707+2 1.708352-5 1.548041+2 1.712003-5 1.560718+2 1.712811-5 1.572607+2 1.713732-5 1.590274+2 1.716498-5 1.669244+2 1.718149-5 1.734349+2 1.719438-5 1.793848+2 1.721872-5 1.924831+2 1.728722-5 2.381024+2 1.731271-5 2.561367+2 1.733494-5 2.712444+2 1.734475-5 2.775715+2 1.736681-5 2.907445+2 1.737678-5 2.961158+2 1.741600-5 3.128968+2 1.743527-5 3.182490+2 1.745067-5 3.210450+2 1.747220-5 3.227048+2 1.749376-5 3.217766+2 1.751137-5 3.191863+2 1.753447-5 3.134958+2 1.755675-5 3.058495+2 1.758356-5 2.943813+2 1.762115-5 2.754624+2 1.767241-5 2.476912+2 1.772015-5 2.233385+2 1.773774-5 2.152865+2 1.779051-5 1.950894+2 1.781236-5 1.885751+2 1.783842-5 1.821707+2 1.785406-5 1.789916+2 1.788675-5 1.737523+2 1.789530-5 1.726565+2 1.794174-5 1.682123+2 1.796470-5 1.666989+2 1.806084-5 1.620550+2 1.811078-5 1.594091+2 1.815461-5 1.565930+2 1.824327-5 1.495586+2 1.829026-5 1.452977+2 1.836942-5 1.376143+2 1.845233-5 1.291310+2 1.853972-5 1.199577+2 1.869497-5 1.041942+2 1.885594-5 9.018170+1 1.910321-5 7.303282+1 1.928176-5 6.211720+1 1.943090-5 5.343842+1 1.955256-5 4.671284+1 1.963816-5 4.224056+1 1.976412-5 3.617605+1 1.984874-5 3.254796+1 1.992808-5 2.956274+1 1.997391-5 2.805337+1 2.003619-5 2.628689+1 2.007000-5 2.547573+1 2.010275-5 2.479584+1 2.013448-5 2.424264+1 2.016522-5 2.381322+1 2.020060-5 2.346256+1 2.022362-5 2.332731+1 2.025136-5 2.327607+1 2.026490-5 2.330097+1 2.028479-5 2.340461+1 2.031051-5 2.367283+1 2.033238-5 2.403882+1 2.035674-5 2.462236+1 2.038034-5 2.539501+1 2.039187-5 2.585713+1 2.040322-5 2.637243+1 2.042556-5 2.758120+1 2.044720-5 2.903104+1 2.046817-5 3.073878+1 2.048848-5 3.272136+1 2.050815-5 3.499593+1 2.052721-5 3.757986+1 2.054568-5 4.049088+1 2.056357-5 4.374709+1 2.058090-5 4.736703+1 2.060072-5 5.214919+1 2.061395-5 5.577409+1 2.064546-5 6.604698+1 2.067500-5 7.822311+1 2.070269-5 9.245616+1 2.072866-5 1.088814+2 2.075300-5 1.276053+2 2.077582-5 1.486973+2 2.079721-5 1.721827+2 2.083607-5 2.262004+2 2.088571-5 3.231716+2 2.096173-5 5.601853+2 2.100049-5 7.382638+2 2.103790-5 9.576405+2 2.106547-5 1.154132+3 2.109590-5 1.409616+3 2.112288-5 1.673087+3 2.113910-5 1.849355+3 2.115459-5 2.030540+3 2.117008-5 2.224626+3 2.119607-5 2.579680+3 2.122206-5 2.971617+3 2.127729-5 3.921497+3 2.128338-5 4.035243+3 2.132927-5 4.939494+3 2.134602-5 5.286530+3 2.138186-5 6.047068+3 2.140174-5 6.473309+3 2.142546-5 6.978742+3 2.144629-5 7.414082+3 2.146649-5 7.823470+3 2.149246-5 8.323206+3 2.151555-5 8.734521+3 2.153688-5 9.080758+3 2.154844-5 9.252763+3 2.157519-5 9.604460+3 2.160097-5 9.875515+3 2.162691-5 1.007514+4 2.164800-5 1.018044+4 2.166240-5 1.022219+4 2.168816-5 1.023545+4 2.170572-5 1.019960+4 2.174454-5 9.995561+3 2.176804-5 9.793702+3 2.178858-5 9.573158+3 2.181308-5 9.261648+3 2.183654-5 8.920432+3 2.186334-5 8.487747+3 2.189134-5 7.997924+3 2.192379-5 7.397470+3 2.194978-5 6.902804+3 2.197902-5 6.343273+3 2.200176-5 5.912654+3 2.205374-5 4.968337+3 2.207848-5 4.547611+3 2.212571-5 3.810294+3 2.217916-5 3.092030+3 2.227529-5 2.112890+3 2.230812-5 1.861925+3 2.234094-5 1.647248+3 2.236791-5 1.495065+3 2.239770-5 1.349198+3 2.242184-5 1.246153+3 2.244880-5 1.144996+3 2.250273-5 9.793927+2 2.257153-5 8.218025+2 2.262709-5 7.253833+2 2.268264-5 6.481629+2 2.273820-5 5.849272+2 2.279376-5 5.321510+2 2.284932-5 4.874505+2 2.289173-5 4.577236+2 2.294666-5 4.239434+2 2.301599-5 3.877388+2 2.307396-5 3.622849+2 2.313076-5 3.413320+2 2.316740-5 3.299082+2 2.320404-5 3.201850+2 2.324434-5 3.115432+2 2.330114-5 3.032119+2 2.335793-5 2.995343+2 2.337787-5 2.993401+2 2.340777-5 3.000719+2 2.343768-5 3.019551+2 2.347733-5 3.060182+2 2.352831-5 3.132897+2 2.365037-5 3.341084+2 2.370844-5 3.423719+2 2.375200-5 3.467698+2 2.380400-5 3.495470+2 2.383405-5 3.498724+2 2.388868-5 3.482079+2 2.394469-5 3.439693+2 2.398361-5 3.399359+2 2.415423-5 3.192897+2 2.423333-5 3.112682+2 2.432051-5 3.045225+2 2.445301-5 2.974481+2 2.491637-5 2.792760+2 2.516700-5 2.681407+2 2.553979-5 2.513871+2 2.569610-5 2.455274+2 2.615577-5 2.313496+2 2.671213-5 2.174103+2 2.721158-5 2.069821+2 2.795948-5 1.939163+2 2.868469-5 1.829643+2 3.043080-5 1.619841+2 3.333938-5 1.352701+2 3.458251-5 1.252019+2 3.570000-5 1.157713+2 3.627835-5 1.100302+2 3.645694-5 1.085541+2 3.663553-5 1.077433+2 3.672483-5 1.076782+2 3.683254-5 1.079144+2 3.708201-5 1.093761+2 3.726874-5 1.104394+2 3.734989-5 1.106554+2 3.744237-5 1.106401+2 3.753486-5 1.103290+2 3.770707-5 1.090563+2 3.808731-5 1.049805+2 3.825816-5 1.034422+2 3.849607-5 1.018506+2 3.910978-5 9.865643+1 3.965203-5 9.564061+1 4.016145-5 9.270727+1 4.086842-5 8.851547+1 4.217284-5 8.081263+1 4.315190-5 7.509836+1 4.426712-5 6.865405+1 4.551283-5 6.151626+1 4.669757-5 5.479254+1 4.818523-5 4.641807+1 4.972785-5 3.785663+1 5.090291-5 3.149857+1 5.209028-5 2.527874+1 5.302954-5 2.056458+1 5.375476-5 1.709903+1 5.427385-5 1.473296+1 5.479837-5 1.245631+1 5.546201-5 9.762398+0 5.588739-5 8.167443+0 5.619700-5 7.083316+0 5.664082-5 5.653080+0 5.707078-5 4.420321+0 5.754399-5 3.260896+0 5.789079-5 2.559844+0 5.828168-5 1.939354+0 5.847102-5 1.709493+0 5.869049-5 1.504676+0 5.879723-5 1.429496+0 5.884087-5 1.403355+0 5.902147-5 1.322733+0 5.919925-5 1.283476+0 5.938283-5 1.276735+0 5.954652-5 1.289738+0 5.965360-5 1.302630+0 5.988171-5 1.326183+0 5.998406-5 1.330065+0 6.018622-5 1.319144+0 6.034517-5 1.292740+0 6.065691-5 1.209493+0 6.095898-5 1.122117+0 6.110649-5 1.087907+0 6.125169-5 1.063609+0 6.139462-5 1.050745+0 6.144000-5 1.049206+0 6.162829-5 1.057155+0 6.167601-5 1.063055+0 6.191475-5 1.118270+0 6.194862-5 1.129765+0 6.221270-5 1.253570+0 6.246853-5 1.436758+0 6.257628-5 1.534519+0 6.271637-5 1.681411+0 6.295646-5 1.989424+0 6.319646-5 2.375782+0 6.363265-5 3.311254+0 6.404896-5 4.539862+0 6.424741-5 5.261763+0 6.463190-5 6.952914+0 6.499236-5 8.945856+0 6.536853-5 1.153244+1 6.564711-5 1.384627+1 6.594412-5 1.675613+1 6.648362-5 2.348197+1 6.737453-5 4.031239+1 6.825778-5 6.829528+1 6.878599-5 9.386004+1 6.912665-5 1.156598+2 6.928573-5 1.276982+2 6.956413-5 1.522978+2 6.977292-5 1.743180+2 6.992952-5 1.932790+2 7.016441-5 2.265030+2 7.039931-5 2.668480+2 7.059111-5 3.064720+2 7.074587-5 3.438649+2 7.091915-5 3.927525+2 7.107068-5 4.428842+2 7.119073-5 4.885075+2 7.131486-5 5.422666+2 7.143898-5 6.040654+2 7.154118-5 6.622196+2 7.171641-5 7.812299+2 7.189164-5 9.326273+2 7.206687-5 1.129688+3 7.222532-5 1.363063+3 7.238377-5 1.668855+3 7.251979-5 2.008182+3 7.260654-5 2.271005+3 7.272363-5 2.694887+3 7.289321-5 3.479344+3 7.325146-5 6.012135+3 7.341162-5 7.621339+3 7.354001-5 9.151387+3 7.362633-5 1.030233+4 7.374802-5 1.208728+4 7.386115-5 1.390468+4 7.396186-5 1.563265+4 7.399474-5 1.621548+4 7.411526-5 1.841084+4 7.415359-5 1.912230+4 7.426858-5 2.126677+4 7.433041-5 2.241055+4 7.438650-5 2.343162+4 7.447948-5 2.506698+4 7.454900-5 2.622402+4 7.462812-5 2.745006+4 7.471545-5 2.866453+4 7.479252-5 2.959290+4 7.489259-5 3.056693+4 7.497155-5 3.113079+4 7.503447-5 3.144131+4 7.512835-5 3.166533+4 7.520113-5 3.163736+4 7.527071-5 3.144558+4 7.538528-5 3.078638+4 7.545038-5 3.023017+4 7.553673-5 2.930471+4 7.560823-5 2.839067+4 7.569478-5 2.712739+4 7.576757-5 2.595139+4 7.584546-5 2.460007+4 7.593291-5 2.299574+4 7.600596-5 2.160776+4 7.607640-5 2.024624+4 7.618160-5 1.820445+4 7.626092-5 1.668353+4 7.634394-5 1.513002+4 7.639375-5 1.422408+4 7.649007-5 1.254194+4 7.658859-5 1.093232+4 7.666902-5 9.711511+3 7.676026-5 8.434995+3 7.682978-5 7.541932+3 7.691369-5 6.556063+3 7.697786-5 5.869613+3 7.708421-5 4.856490+3 7.717195-5 4.132609+3 7.728551-5 3.335480+3 7.747434-5 2.322105+3 7.754580-5 2.028546+3 7.761725-5 1.778967+3 7.768852-5 1.570777+3 7.779542-5 1.329015+3 7.790232-5 1.165682+3 7.794759-5 1.118933+3 7.804755-5 1.061582+3 7.807989-5 1.056462+3 7.812017-5 1.059309+3 7.819278-5 1.090665+3 7.824090-5 1.130472+3 7.828522-5 1.181010+3 7.833957-5 1.261793+3 7.836066-5 1.298899+3 7.840661-5 1.391344+3 7.844689-5 1.485871+3 7.849215-5 1.607826+3 7.854623-5 1.776446+3 7.862935-5 2.087301+3 7.879646-5 2.922834+3 7.892768-5 3.800982+3 7.903027-5 4.638583+3 7.914705-5 5.764547+3 7.929056-5 7.409666+3 7.936128-5 8.326829+3 7.950878-5 1.045773+4 7.962414-5 1.231172+4 7.965526-5 1.283680+4 7.975704-5 1.461559+4 7.982603-5 1.586540+4 7.990834-5 1.738822+4 7.998204-5 1.876672+4 8.006747-5 2.036361+4 8.015959-5 2.205809+4 8.025454-5 2.374313+4 8.034009-5 2.518034+4 8.044902-5 2.685945+4 8.053818-5 2.807805+4 8.059317-5 2.874872+4 8.067872-5 2.965637+4 8.072124-5 3.004208+4 8.086612-5 3.100706+4 8.094952-5 3.130769+4 8.105157-5 3.141778+4 8.113019-5 3.131142+4 8.122411-5 3.097394+4 8.128745-5 3.062343+4 8.137580-5 2.998056+4 8.146378-5 2.917820+4 8.156257-5 2.810864+4 8.164508-5 2.709978+4 8.175117-5 2.567979+4 8.186419-5 2.405643+4 8.190187-5 2.349793+4 8.203598-5 2.147311+4 8.219302-5 1.910003+4 8.228147-5 1.779636+4 8.242846-5 1.572705+4 8.259022-5 1.363726+4 8.298825-5 9.517702+3 8.316568-5 8.157137+3 8.326040-5 7.540019+3 8.339686-5 6.771241+3 8.353176-5 6.135384+3 8.366705-5 5.604258+3 8.380207-5 5.163892+3 8.393683-5 4.798532+3 8.407132-5 4.494347+3 8.420556-5 4.239560+3 8.433953-5 4.024393+3 8.461548-5 3.673069+3 8.487331-5 3.423123+3 8.514475-5 3.214001+3 8.541186-5 3.045687+3 8.570666-5 2.890820+3 8.592844-5 2.790553+3 8.626110-5 2.660281+3 8.659655-5 2.548076+3 8.685825-5 2.471062+3 8.726588-5 2.365685+3 8.773761-5 2.261283+3 8.833147-5 2.150236+3 8.894394-5 2.053466+3 8.957367-5 1.967936+3 9.032339-5 1.880223+3 9.169821-5 1.747149+3 9.295929-5 1.647052+3 9.398477-5 1.576732+3 9.486357-5 1.523328+3 9.654966-5 1.435442+3 9.840919-5 1.355326+3 9.963676-5 1.308961+3 1.015956-4 1.243868+3 1.038370-4 1.179823+3 1.054691-4 1.139412+3 1.100232-4 1.045776+3 1.144567-4 9.727837+2 1.220183-4 8.725337+2 1.349642-4 7.417639+2 1.430969-4 6.760475+2 1.458084-4 6.547178+2 1.506261-4 6.162365+2 1.531201-4 5.938890+2 1.554589-4 5.698878+2 1.563192-4 5.635065+2 1.570437-4 5.606572+2 1.577943-4 5.602727+2 1.602850-4 5.667665+2 1.618782-4 5.669752+2 1.635390-4 5.635821+2 1.668679-4 5.548161+2 1.693363-4 5.466644+2 1.736197-4 5.303947+2 1.780000-4 5.127308+2 1.831352-4 4.911906+2 1.880993-4 4.698234+2 1.925096-4 4.481923+2 1.939391-4 4.405435+2 1.949477-4 4.372589+2 1.958679-4 4.370678+2 1.968821-4 4.399681+2 1.990479-4 4.492630+2 1.998861-4 4.509715+2 2.011451-4 4.505736+2 2.019864-4 4.488534+2 2.052039-4 4.394276+2 2.153401-4 4.138428+2 2.206967-4 3.995423+2 2.274957-4 3.804495+2 2.319837-4 3.674189+2 2.402288-4 3.430661+2 2.454717-4 3.264656+2 2.502167-4 3.111871+2 2.553573-4 2.980273+2 2.577249-4 2.907975+2 2.614230-4 2.776699+2 2.660725-4 2.590079+2 2.691535-4 2.447577+2 2.722882-4 2.274564+2 2.741691-4 2.148979+2 2.757835-4 2.019403+2 2.770000-4 1.902247+2 2.779024-4 1.802118+2 2.788956-4 1.679919+2 2.806267-4 1.464535+2 2.811405-4 1.413202+2 2.821702-4 1.357156+2 2.823309-4 1.356294+2 2.825955-4 1.360662+2 2.829575-4 1.379493+2 2.831325-4 1.394383+2 2.837606-4 1.481932+2 2.840809-4 1.548371+2 2.845732-4 1.680140+2 2.850152-4 1.828465+2 2.855688-4 2.050915+2 2.863455-4 2.417251+2 2.866237-4 2.558689+2 2.871318-4 2.822521+2 2.874077-4 2.965410+2 2.879325-4 3.228289+2 2.881037-4 3.309838+2 2.884032-4 3.445643+2 2.887968-4 3.608049+2 2.889864-4 3.678761+2 2.894374-4 3.824985+2 2.897923-4 3.916735+2 2.900974-4 3.978625+2 2.903749-4 4.021293+2 2.906444-4 4.050630+2 2.909061-4 4.068227+2 2.914070-4 4.074619+2 2.919710-4 4.045865+2 2.927880-4 3.958719+2 2.942235-4 3.769909+2 2.949808-4 3.691276+2 2.957918-4 3.636420+2 2.966050-4 3.608875+2 2.984180-4 3.583566+2 2.990770-4 3.563433+2 2.997221-4 3.529973+2 3.002396-4 3.492046+2 3.008445-4 3.435424+2 3.015134-4 3.359284+2 3.022133-4 3.268105+2 3.035960-4 3.071643+2 3.054921-4 2.814255+2 3.064469-4 2.702181+2 3.076883-4 2.576020+2 3.101717-4 2.375233+2 3.130000-4 2.194165+2 3.235937-4 1.672954+2 3.294417-4 1.450164+2 3.318518-4 1.371736+2 3.341326-4 1.305651+2 3.362500-4 1.251654+2 3.386914-4 1.198639+2 3.407484-4 1.161993+2 3.433267-4 1.126480+2 3.456000-4 1.104800+2 3.488709-4 1.089963+2 3.532457-4 1.102073+2 3.591218-4 1.176221+2 3.641218-4 1.289957+2 3.664832-4 1.359720+2 3.687804-4 1.437519+2 3.710010-4 1.521702+2 3.760741-4 1.743799+2 3.852843-4 2.237320+2 3.912976-4 2.610905+2 3.935501-4 2.759766+2 3.985000-4 3.101139+2 4.011986-4 3.294489+2 4.060100-4 3.649850+2 4.120975-4 4.111886+2 4.175000-4 4.527568+2 4.235614-4 4.994486+2 4.314511-4 5.598148+2 4.382847-4 6.114773+2 4.451182-4 6.622922+2 4.544646-4 7.300211+2 4.636806-4 7.943324+2 4.748929-4 8.685089+2 4.883711-4 9.515307+2 5.023723-4 1.030799+3 5.184000-4 1.111672+3 5.308844-4 1.166945+3 5.464024-4 1.225783+3 5.600527-4 1.266444+3 5.682116-4 1.283341+3 5.773854-4 1.291690+3 5.860766-4 1.288353+3 5.878762-4 1.290611+3 5.912809-4 1.308134+3 5.928715-4 1.325124+3 5.941433-4 1.343537+3 5.958481-4 1.374898+3 5.989135-4 1.446044+3 6.012372-4 1.503948+3 6.027410-4 1.538425+3 6.046022-4 1.573988+3 6.059375-4 1.593256+3 6.072124-4 1.606376+3 6.088477-4 1.615998+3 6.100464-4 1.618593+3 6.119138-4 1.617077+3 6.170729-4 1.602047+3 6.204764-4 1.603164+3 6.241856-4 1.625004+3 6.263442-4 1.647733+3 6.332715-4 1.744223+3 6.348981-4 1.764137+3 6.366475-4 1.781430+3 6.382963-4 1.793271+3 6.399251-4 1.800831+3 6.484897-4 1.807811+3 6.521841-4 1.814150+3 6.763263-4 1.911966+3 6.968762-4 1.983729+3 7.252183-4 2.065679+3 7.527169-4 2.130649+3 7.827691-4 2.188323+3 8.123167-4 2.230958+3 8.344327-4 2.249719+3 8.459691-4 2.255674+3 8.517082-4 2.263343+3 8.560517-4 2.273648+3 8.679450-4 2.319496+3 8.856974-4 2.398321+3 8.984781-4 2.442396+3 9.176692-4 2.488774+3 9.451353-4 2.534677+3 9.803614-4 2.578119+3 1.032726-3 2.619951+3 1.078932-3 2.673150+3 1.116610-3 2.701711+3 1.153753-3 2.716098+3 1.173689-3 2.719238+3 1.188373-3 2.727609+3 1.222052-3 2.764881+3 1.262347-3 2.790282+3 1.319043-3 2.807620+3 1.380818-3 2.810927+3 1.458000-3 2.806986+3 1.532232-3 2.796980+3 1.623561-3 2.776094+3 1.717908-3 2.745121+3 1.819701-3 2.699579+3 1.938228-3 2.640670+3 2.051593-3 2.577633+3 2.166476-3 2.503297+3 2.289044-3 2.413709+3 2.401424-3 2.322811+3 2.510662-3 2.222343+3 2.599655-3 2.131116+3 2.683799-3 2.034737+3 2.752692-3 1.944749+3 2.809240-3 1.861263+3 2.862633-3 1.771547+3 2.903778-3 1.691948+3 2.942727-3 1.604389+3 2.971489-3 1.528410+3 2.997882-3 1.445332+3 3.017840-3 1.370744+3 3.035954-3 1.294579+3 3.057904-3 1.203286+3 3.065932-3 1.175849+3 3.073317-3 1.156129+3 3.077447-3 1.147969+3 3.081921-3 1.141754+3 3.086625-3 1.138360+3 3.091542-3 1.138382+3 3.096038-3 1.141607+3 3.103207-3 1.152832+3 3.110680-3 1.171664+3 3.118153-3 1.196351+3 3.144464-3 1.304138+3 3.153880-3 1.341704+3 3.164750-3 1.380706+3 3.180989-3 1.430078+3 3.204502-3 1.494944+3 3.219730-3 1.545921+3 3.227929-3 1.579355+3 3.242714-3 1.651080+3 3.274246-3 1.831010+3 3.290000-3 1.917024+3 3.307555-3 2.001409+3 3.320938-3 2.057350+3 3.337270-3 2.116940+3 3.354099-3 2.169625+3 3.371840-3 2.216727+3 3.393321-3 2.263915+3 3.419056-3 2.309494+3 3.452431-3 2.356171+3 3.486881-3 2.393715+3 3.525864-3 2.425675+3 3.560682-3 2.445592+3 3.601883-3 2.458319+3 3.635596-3 2.458625+3 3.669278-3 2.448200+3 3.725637-3 2.421038+3 3.740114-3 2.422050+3 3.755477-3 2.431716+3 3.777522-3 2.462771+3 3.813400-3 2.543259+3 3.834874-3 2.593822+3 3.854322-3 2.633648+3 3.876571-3 2.670147+3 3.899974-3 2.699370+3 3.937421-3 2.733103+3 3.977164-3 2.758567+3 4.035904-3 2.784936+3 4.089296-3 2.800788+3 4.156133-3 2.812124+3 4.221718-3 2.815426+3 4.277145-3 2.812529+3 4.328523-3 2.803781+3 4.427751-3 2.768319+3 4.473268-3 2.763413+3 4.509627-3 2.774251+3 4.571162-3 2.801900+3 4.603483-3 2.810750+3 4.642360-3 2.814230+3 4.780908-3 2.800504+3 4.865804-3 2.823940+3 4.937637-3 2.840760+3 5.055336-3 2.844587+3 5.224474-3 2.832259+3 5.448162-3 2.799582+3 5.855246-3 2.720567+3 6.332030-3 2.610045+3 6.705217-3 2.518899+3 7.096033-3 2.422544+3 7.585775-3 2.301804+3 8.163473-3 2.165994+3 8.862946-3 2.011434+3 9.674422-3 1.844246+3 1.015956-2 1.751901+3 1.105506-2 1.593396+3 1.152210-2 1.516424+3 1.202640-2 1.436673+3 1.252127-2 1.361289+3 1.293358-2 1.300319+3 1.326338-2 1.251630+3 1.359530-2 1.202905+3 1.388158-2 1.160361+3 1.411648-2 1.124511+3 1.433406-2 1.090028+3 1.450121-2 1.062059+3 1.464019-2 1.037183+3 1.477281-2 1.011404+3 1.488145-2 9.878858+2 1.497226-2 9.655171+2 1.504473-2 9.451746+2 1.514694-2 9.124498+2 1.528783-2 8.664097+2 1.535785-2 8.498704+2 1.540498-2 8.435069+2 1.544990-2 8.416719+2 1.549694-2 8.441961+2 1.555153-2 8.521121+2 1.563373-2 8.707275+2 1.575993-2 9.023182+2 1.580707-2 9.123141+2 1.586868-2 9.230827+2 1.592899-2 9.311677+2 1.600281-2 9.382675+2 1.608633-2 9.434935+2 1.619679-2 9.472786+2 1.632398-2 9.487100+2 1.658647-2 9.452846+2 1.691841-2 9.331233+2 1.729225-2 9.123953+2 1.747833-2 8.996851+2 1.764117-2 8.870939+2 1.780420-2 8.727049+2 1.794402-2 8.583227+2 1.805539-2 8.448951+2 1.827271-2 8.136734+2 1.841043-2 7.954812+2 1.850297-2 7.878177+2 1.858366-2 7.852607+2 1.872025-2 7.882611+2 1.894950-2 7.980390+2 1.922528-2 8.053587+2 1.967152-2 8.292061+2 1.989419-2 8.343410+2 2.020796-2 8.342369+2 2.054755-2 8.297681+2 2.100708-2 8.200582+2 2.187762-2 7.957785+2 2.293053-2 7.620057+2 2.426610-2 7.176191+2 2.615170-2 6.576214+2 2.868509-2 5.853114+2 3.190758-2 5.077639+2 3.601004-2 4.284926+2 3.869009-2 3.856327+2 4.170944-2 3.437397+2 4.721522-2 2.824191+2 5.328435-2 2.317162+2 5.797258-2 2.006791+2 6.578176-2 1.606409+2 7.422610-2 1.293011+2 8.016837-2 1.121934+2 8.670469-2 9.656886+1 9.149616-2 8.661602+1 9.509556-2 7.964485+1 9.774214-2 7.456446+1 9.873932-2 7.258775+1 9.964236-2 7.071759+1 1.003963-1 6.904787+1 1.009775-1 6.764401+1 1.018518-1 6.523486+1 1.033349-1 6.075076+1 1.037468-1 5.985260+1 1.041944-1 5.929045+1 1.045621-1 5.918654+1 1.050630-1 5.950272+1 1.066100-1 6.163854+1 1.072712-1 6.223131+1 1.077294-1 6.246185+1 1.082984-1 6.259047+1 1.096724-1 6.246485+1 1.114315-1 6.184717+1 1.138705-1 6.059062+1 1.181772-1 5.797333+1 1.236693-1 5.443152+1 1.291963-1 5.095331+1 1.377340-1 4.598642+1 1.497932-1 3.996863+1 1.698244-1 3.215701+1 1.963251-1 2.483579+1 2.313265-1 1.842947+1 2.848806-1 1.252585+1 3.637318-1 7.893599+0 4.714520-1 4.800455+0 6.541086-1 2.544120+0 1.022000+0 1.062639+0 1.546860+0 4.693649-1 2.814822+0 1.428666-1 8.575359+0 1.544488-2 2.688134+1 1.571999-3 8.118035+1 1.723688-4 2.451607+2 1.889989-5 7.403736+2 2.072332-6 2.511886+3 1.800367-7 7.943282+3 1.800367-8 2.511886+4 1.800367-9 7.943282+4 1.80037-10 1.000000+5 1.13596-10 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.097900-6 1.258900-6 4.909800-6 1.584900-6 7.781500-6 1.995300-6 1.233300-5 2.511900-6 1.954600-5 3.162300-6 3.097800-5 3.981100-6 4.909700-5 5.011900-6 7.781300-5 6.309600-6 1.233300-4 7.943300-6 1.954600-4 1.000000-5 3.097700-4 1.258900-5 4.909500-4 1.584900-5 7.776800-4 1.995300-5 1.231700-3 2.511900-5 1.951000-3 3.162300-5 3.090800-3 3.981100-5 4.897100-3 5.011900-5 7.758200-3 6.309600-5 1.229000-2 7.943300-5 1.944300-2 1.000000-4 3.074300-2 1.258900-4 4.852900-2 1.584900-4 7.643100-2 1.995300-4 1.199200-1 2.511900-4 1.871800-1 3.162300-4 2.896900-1 3.981100-4 4.422500-1 5.011900-4 6.586400-1 6.309600-4 9.527800-1 7.943300-4 1.331300+0 1.000000-3 1.799400+0 1.258900-3 2.371500+0 1.584900-3 3.086300+0 1.995300-3 3.986800+0 2.511900-3 5.107800+0 3.162300-3 6.479100+0 3.981100-3 8.107300+0 5.011900-3 9.952200+0 6.309600-3 1.199300+1 7.943300-3 1.431800+1 1.000000-2 1.694900+1 1.258900-2 1.978600+1 1.584900-2 2.265700+1 1.995300-2 2.545400+1 2.511900-2 2.823200+1 3.162300-2 3.085800+1 3.981100-2 3.316300+1 5.011900-2 3.495200+1 6.309600-2 3.611600+1 7.943300-2 3.665100+1 1.000000-1 3.657900+1 1.258900-1 3.589500+1 1.584900-1 3.473600+1 1.995300-1 3.314500+1 2.511900-1 3.126400+1 3.162300-1 2.919100+1 3.981100-1 2.702000+1 5.011900-1 2.480700+1 6.309600-1 2.261100+1 7.943300-1 2.046900+1 1.000000+0 1.839600+1 1.258900+0 1.643600+1 1.584900+0 1.458000+1 1.995300+0 1.284700+1 2.511900+0 1.124600+1 3.162300+0 9.782400+0 3.981100+0 8.458400+0 5.011900+0 7.272100+0 6.309600+0 6.219400+0 7.943300+0 5.293200+0 1.000000+1 4.484900+0 1.258900+1 3.784700+0 1.584900+1 3.182000+0 1.995300+1 2.666400+0 2.511900+1 2.227700+0 3.162300+1 1.856100+0 3.981100+1 1.542700+0 5.011900+1 1.279400+0 6.309600+1 1.058900+0 7.943300+1 8.747700-1 1.000000+2 7.214800-1 1.258900+2 5.941600-1 1.584900+2 4.886200-1 1.995300+2 4.013200-1 2.511900+2 3.292400-1 3.162300+2 2.698000-1 3.981100+2 2.208800-1 5.011900+2 1.806500-1 6.309600+2 1.476200-1 7.943300+2 1.205400-1 1.000000+3 9.834300-2 1.258900+3 8.017800-2 1.584900+3 6.532400-2 1.995300+3 5.318800-2 2.511900+3 4.327900-2 3.162300+3 3.519700-2 3.981100+3 2.860800-2 5.011900+3 2.324000-2 6.309600+3 1.887000-2 7.943300+3 1.531500-2 1.000000+4 1.242300-2 1.258900+4 1.007300-2 1.584900+4 8.164700-3 1.995300+4 6.614900-3 2.511900+4 5.357200-3 3.162300+4 4.337100-3 3.981100+4 3.509900-3 5.011900+4 2.839500-3 6.309600+4 2.296400-3 7.943300+4 1.856600-3 1.000000+5 1.500500-3 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994176-4 2.511886-4 2.510168-4 3.162278-4 3.159562-4 3.981072-4 3.976790-4 5.011872-4 5.005147-4 6.309573-4 6.299041-4 7.943282-4 7.926821-4 1.000000-3 9.974393-4 1.258925-3 1.254931-3 1.584893-3 1.578635-3 1.995262-3 1.985424-3 2.511886-3 2.496407-3 3.162278-3 3.137941-3 3.981072-3 3.942840-3 5.011872-3 4.952259-3 6.309573-3 6.216546-3 7.943282-3 7.798191-3 1.000000-2 9.773350-3 1.258925-2 1.223645-2 1.584893-2 1.530289-2 1.995262-2 1.911056-2 2.511886-2 2.382483-2 3.162278-2 2.963982-2 3.981072-2 3.679089-2 5.011872-2 4.555916-2 6.309573-2 5.626930-2 7.943282-2 6.928710-2 1.000000-1 8.505479-2 1.258925-1 1.041218-1 1.584893-1 1.269647-1 1.995262-1 1.543623-1 2.511886-1 1.870754-1 3.162278-1 2.259975-1 3.981072-1 2.721458-1 5.011872-1 3.267255-1 6.309573-1 3.911176-1 7.943282-1 4.670612-1 1.000000+0 5.565052-1 1.258925+0 6.615871-1 1.584893+0 7.859226-1 1.995262+0 9.329662-1 2.511886+0 1.107477+0 3.162278+0 1.315178+0 3.981072+0 1.563166+0 5.011872+0 1.859996+0 6.309573+0 2.216160+0 7.943282+0 2.644788+0 1.000000+1 3.161322+0 1.258925+1 3.785478+0 1.584893+1 4.540620+0 1.995262+1 5.455839+0 2.511886+1 6.566673+0 3.162278+1 7.916604+0 3.981072+1 9.559108+0 5.011872+1 1.156011+1 6.309573+1 1.399968+1 7.943282+1 1.697728+1 1.000000+2 2.061471+1 1.258925+2 2.506211+1 1.584893+2 3.050364+1 1.995262+2 3.716707+1 2.511886+2 4.533208+1 3.162278+2 5.534489+1 3.981072+2 6.762934+1 5.011872+2 8.271264+1 6.309573+2 1.012419+2 7.943282+2 1.240184+2 1.000000+3 1.520266+2 1.258925+3 1.864911+2 1.584893+3 2.289146+2 1.995262+3 2.811762+2 2.511886+3 3.455610+2 3.162278+3 4.249284+2 3.981072+3 5.228168+2 5.011872+3 6.435780+2 6.309573+3 7.926398+2 7.943282+3 9.766720+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88191-10 1.995262-5 1.090612-9 2.511886-5 1.728476-9 3.162278-5 2.739488-9 3.981072-5 4.341855-9 5.011872-5 6.881041-9 6.309573-5 1.090495-8 7.943282-5 1.727627-8 1.000000-4 2.737184-8 1.258925-4 4.335599-8 1.584893-4 6.864856-8 1.995262-4 1.086544-7 2.511886-4 1.718724-7 3.162278-4 2.715334-7 3.981072-4 4.281622-7 5.011872-4 6.725777-7 6.309573-4 1.053249-6 7.943282-4 1.646131-6 1.000000-3 2.560749-6 1.258925-3 3.994543-6 1.584893-3 6.258509-6 1.995262-3 9.838131-6 2.511886-3 1.547899-5 3.162278-3 2.433620-5 3.981072-3 3.823143-5 5.011872-3 5.961345-5 6.309573-3 9.302699-5 7.943282-3 1.450916-4 1.000000-2 2.266504-4 1.258925-2 3.528054-4 1.584893-2 5.460381-4 1.995262-2 8.420611-4 2.511886-2 1.294033-3 3.162278-2 1.982958-3 3.981072-2 3.019828-3 5.011872-2 4.559566-3 6.309573-2 6.826438-3 7.943282-2 1.014572-2 1.000000-1 1.494521-2 1.258925-1 2.177070-2 1.584893-1 3.152458-2 1.995262-1 4.516389-2 2.511886-1 6.411322-2 3.162278-1 9.023023-2 3.981072-1 1.259614-1 5.011872-1 1.744618-1 6.309573-1 2.398397-1 7.943282-1 3.272670-1 1.000000+0 4.434948-1 1.258925+0 5.973383-1 1.584893+0 7.989706-1 1.995262+0 1.062296+0 2.511886+0 1.404409+0 3.162278+0 1.847099+0 3.981072+0 2.417906+0 5.011872+0 3.151877+0 6.309573+0 4.093414+0 7.943282+0 5.298494+0 1.000000+1 6.838678+0 1.258925+1 8.803776+0 1.584893+1 1.130831+1 1.995262+1 1.449678+1 2.511886+1 1.855219+1 3.162278+1 2.370617+1 3.981072+1 3.025161+1 5.011872+1 3.855862+1 6.309573+1 4.909605+1 7.943282+1 6.245554+1 1.000000+2 7.938529+1 1.258925+2 1.008304+2 1.584893+2 1.279857+2 1.995262+2 1.623592+2 2.511886+2 2.058566+2 3.162278+2 2.608829+2 3.981072+2 3.304778+2 5.011872+2 4.184746+2 6.309573+2 5.297154+2 7.943282+2 6.703098+2 1.000000+3 8.479734+2 1.258925+3 1.072434+3 1.584893+3 1.355979+3 1.995262+3 1.714086+3 2.511886+3 2.166325+3 3.162278+3 2.737349+3 3.981072+3 3.458255+3 5.011872+3 4.368294+3 6.309573+3 5.516934+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.730000-6 8.011460+6 5.000000-6 6.681420+6 5.821032-6 4.043888+6 6.839116-6 2.392658+6 8.035261-6 1.426279+6 9.549926-6 8.252700+5 1.135011-5 4.812089+5 1.318257-5 3.037649+5 1.500000-5 2.056720+5 1.659587-5 1.525655+5 1.800000-5 1.207736+5 1.862000-5 1.098822+5 1.862000-5 2.797626+7 1.883649-5 2.649331+7 1.945000-5 2.307765+7 1.950000-5 2.283596+7 2.000000-5 2.058435+7 2.070000-5 1.798905+7 2.089296-5 1.737684+7 2.162719-5 1.527579+7 2.238721-5 1.350190+7 2.270000-5 1.284880+7 2.371374-5 1.105464+7 2.400000-5 1.060740+7 2.488000-5 9.406903+6 2.488000-5 2.144762+7 2.511886-5 2.069543+7 2.540973-5 1.982438+7 2.600160-5 1.824678+7 2.610000-5 1.800262+7 2.660725-5 1.684962+7 2.700000-5 1.602184+7 2.818383-5 1.389699+7 2.951209-5 1.198447+7 2.985383-5 1.155864+7 3.000000-5 1.138261+7 3.162278-5 9.653441+6 3.350000-5 8.076262+6 3.570000-5 6.634517+6 3.801894-5 5.462138+6 3.954000-5 4.836247+6 3.954000-5 5.191709+6 3.981072-5 5.083326+6 4.120975-5 4.561438+6 4.265795-5 4.092043+6 4.315191-5 3.947929+6 4.518559-5 3.418478+6 4.570882-5 3.297666+6 4.677351-5 3.069388+6 4.738400-5 2.949117+6 4.900000-5 2.660493+6 5.000000-5 2.501097+6 5.069907-5 2.397151+6 5.080000-5 2.382789+6 5.248075-5 2.160571+6 5.308844-5 2.087353+6 5.400000-5 1.984600+6 5.500000-5 1.879965+6 5.580000-5 1.802535+6 5.754399-5 1.648706+6 5.900000-5 1.534072+6 5.956621-5 1.492961+6 6.095369-5 1.398783+6 6.165950-5 1.353975+6 6.309573-5 1.269752+6 6.400000-5 1.221105+6 6.683439-5 1.084905+6 6.760830-5 1.051542+6 7.000000-5 9.585354+5 7.244360-5 8.753446+5 7.328245-5 8.495923+5 7.552000-5 7.862196+5 7.552000-5 2.032650+7 7.762471-5 1.810384+7 7.852356-5 1.724770+7 7.870000-5 1.708562+7 7.920000-5 1.658077+7 8.132000-5 1.471338+7 8.132000-5 2.934106+7 8.222426-5 2.775179+7 8.270000-5 2.695767+7 8.317638-5 2.623674+7 8.570000-5 2.279482+7 8.730000-5 2.084944+7 8.810489-5 1.992126+7 8.912509-5 1.881617+7 9.225714-5 1.578576+7 9.450000-5 1.396157+7 9.549926-5 1.327344+7 9.800000-5 1.172493+7 9.900000-5 1.117596+7 1.000000-4 1.063549+7 1.023293-4 9.555203+6 1.047129-4 8.586240+6 1.083927-4 7.328630+6 1.100000-4 6.851090+6 1.109175-4 6.595812+6 1.122018-4 6.252919+6 1.161449-4 5.329393+6 1.170000-4 5.149524+6 1.174898-4 5.048392+6 1.220000-4 4.223787+6 1.258925-4 3.635495+6 1.260000-4 3.620690+6 1.303167-4 3.083831+6 1.364583-4 2.477579+6 1.396368-4 2.222355+6 1.428894-4 1.994508+6 1.450000-4 1.862255+6 1.500000-4 1.591871+6 1.540000-4 1.410769+6 1.566751-4 1.304231+6 1.580000-4 1.255278+6 1.584893-4 1.237791+6 1.598300-4 1.191877+6 1.598300-4 1.728449+6 1.598400-4 1.723427+6 1.599000-4 1.714329+6 1.599900-4 1.704489+6 1.601700-4 1.689951+6 1.604000-4 1.675726+6 1.609000-4 1.649254+6 1.617000-4 1.611690+6 1.627000-4 1.568823+6 1.643000-4 1.506346+6 1.659587-4 1.448041+6 1.665000-4 1.429876+6 1.678804-4 1.386680+6 1.690000-4 1.353009+6 1.720000-4 1.270787+6 1.737801-4 1.226033+6 1.760000-4 1.173657+6 1.780000-4 1.129688+6 1.800000-4 1.088873+6 1.819701-4 1.050765+6 1.840772-4 1.012213+6 1.850000-4 9.964909+5 1.883649-4 9.422459+5 1.905461-4 9.100474+5 1.930000-4 8.762574+5 1.950000-4 8.507016+5 1.972423-4 8.242754+5 1.980000-4 8.157699+5 2.003200-4 7.911795+5 2.003200-4 1.019590+6 2.018366-4 9.979557+5 2.020000-4 9.956649+5 2.065380-4 9.368271+5 2.080000-4 9.193529+5 2.089296-4 9.089361+5 2.113489-4 8.830642+5 2.137962-4 8.586101+5 2.162719-4 8.353126+5 2.170000-4 8.288113+5 2.190000-4 8.110423+5 2.213095-4 7.919875+5 2.238721-4 7.721907+5 2.244000-4 7.682179+5 2.264644-4 7.532895+5 2.300000-4 7.294438+5 2.317395-4 7.186608+5 2.344229-4 7.032569+5 2.350000-4 7.000164+5 2.371374-4 6.884755+5 2.400000-4 6.739633+5 2.426610-4 6.612608+5 2.430000-4 6.597091+5 2.454709-4 6.489589+5 2.500000-4 6.310677+5 2.511886-4 6.266847+5 2.536300-4 6.181007+5 2.536300-4 6.747199+5 2.540973-4 6.730551+5 2.570396-4 6.627794+5 2.580000-4 6.596916+5 2.635000-4 6.426517+5 2.650000-4 6.382906+5 2.660725-4 6.353241+5 2.691535-4 6.271307+5 2.754229-4 6.118962+5 2.770000-4 6.083539+5 2.818383-4 5.981534+5 2.851018-4 5.916712+5 2.884032-4 5.855061+5 2.900000-4 5.826870+5 2.911900-4 5.805937+5 2.911900-4 7.289657+5 2.912300-4 7.274662+5 2.914000-4 7.245900+5 2.917427-4 7.201340+5 2.922000-4 7.153861+5 2.928000-4 7.104032+5 2.933000-4 7.070091+5 2.940000-4 7.030711+5 2.947000-4 6.998533+5 2.951209-4 6.982683+5 2.955000-4 6.968825+5 2.965000-4 6.938740+5 2.980000-4 6.902814+5 2.997000-4 6.871376+5 2.997000-4 7.876550+5 2.998000-4 7.865721+5 3.000000-4 7.851492+5 3.001500-4 7.841530+5 3.007000-4 7.811562+5 3.015000-4 7.776732+5 3.019952-4 7.759360+5 3.022000-4 7.752298+5 3.032000-4 7.728454+5 3.040000-4 7.713966+5 3.045000-4 7.707074+5 3.056900-4 7.695486+5 3.057000-4 7.695393+5 3.073000-4 7.693432+5 3.080000-4 7.696652+5 3.090000-4 7.703978+5 3.100000-4 7.716719+5 3.107000-4 7.729440+5 3.115000-4 7.746684+5 3.126079-4 7.778148+5 3.130000-4 7.789574+5 3.145000-4 7.849034+5 3.150000-4 7.874565+5 3.162278-4 7.939687+5 3.172000-4 8.003615+5 3.180000-4 8.060436+5 3.185000-4 8.100389+5 3.200000-4 8.231395+5 3.215000-4 8.388343+5 3.220000-4 8.445224+5 3.230000-4 8.568227+5 3.240000-4 8.701564+5 3.245000-4 8.772658+5 3.260000-4 9.003109+5 3.275000-4 9.257264+5 3.280000-4 9.348090+5 3.290000-4 9.536695+5 3.311311-4 9.979477+5 3.320000-4 1.017728+6 3.340200-4 1.065634+6 3.350000-4 1.090795+6 3.380000-4 1.172527+6 3.388442-4 1.196688+6 3.400000-4 1.231240+6 3.412100-4 1.268839+6 3.430000-4 1.326038+6 3.440000-4 1.359314+6 3.460000-4 1.427645+6 3.470000-4 1.463184+6 3.485000-4 1.517017+6 3.507519-4 1.601823+6 3.515000-4 1.630363+6 3.540000-4 1.728816+6 3.550000-4 1.769125+6 3.565000-4 1.830665+6 3.580000-4 1.892767+6 3.600000-4 1.977961+6 3.615000-4 2.042279+6 3.630781-4 2.110997+6 3.650000-4 2.194677+6 3.665000-4 2.261075+6 3.680000-4 2.326602+6 3.700000-4 2.414839+6 3.715352-4 2.481565+6 3.740000-4 2.589423+6 3.750000-4 2.632228+6 3.758374-4 2.667470+6 3.780000-4 2.760898+6 3.801894-4 2.850503+6 3.820000-4 2.926985+6 3.850000-4 3.047865+6 3.890451-4 3.205301+6 3.935501-4 3.372695+6 3.985000-4 3.546086+6 4.000000-4 3.594548+6 4.030000-4 3.693198+6 4.080000-4 3.842951+6 4.090200-4 3.871951+6 4.120975-4 3.954429+6 4.130000-4 3.978895+6 4.150000-4 4.029583+6 4.180000-4 4.101307+6 4.200000-4 4.145750+6 4.240000-4 4.228899+6 4.265795-4 4.277643+6 4.280000-4 4.302408+6 4.315191-4 4.364043+6 4.320000-4 4.372511+6 4.350000-4 4.415657+6 4.390000-4 4.473600+6 4.415704-4 4.503076+6 4.466836-4 4.561859+6 4.470000-4 4.565505+6 4.478400-4 4.574118+6 4.550000-4 4.634920+6 4.570882-4 4.650046+6 4.623810-4 4.679196+6 4.650000-4 4.693593+6 4.677351-4 4.705129+6 4.700000-4 4.711415+6 4.740000-4 4.722427+6 4.786301-4 4.730467+6 4.850000-4 4.733522+6 4.897788-4 4.731105+6 4.954502-4 4.722764+6 4.970000-4 4.720519+6 5.011872-4 4.711373+6 5.080000-4 4.689891+6 5.150000-4 4.662615+6 5.188000-4 4.644599+6 5.248075-4 4.616348+6 5.308844-4 4.583504+6 5.432503-4 4.508651+6 5.500000-4 4.464868+6 5.559043-4 4.422571+6 5.583530-4 4.405224+6 5.623413-4 4.377274+6 5.688529-4 4.328942+6 5.720000-4 4.305926+6 5.821032-4 4.227307+6 5.888437-4 4.173688+6 5.956621-4 4.120734+6 6.000000-4 4.085495+6 6.025596-4 4.064941+6 6.030600-4 4.060764+6 6.030600-4 4.439307+6 6.095369-4 4.385562+6 6.200000-4 4.301264+6 6.280000-4 4.234736+6 6.367700-4 4.160609+6 6.367700-4 4.378902+6 6.382635-4 4.366485+6 6.456542-4 4.305923+6 6.531306-4 4.246300+6 6.600000-4 4.190515+6 6.606934-4 4.184772+6 6.760830-4 4.061088+6 6.780000-4 4.046281+6 6.839116-4 4.001406+6 6.850000-4 3.993244+6 6.918310-4 3.940294+6 7.000000-4 3.876538+6 7.161434-4 3.756064+6 7.244360-4 3.694411+6 7.413102-4 3.570734+6 7.500000-4 3.509966+6 7.585776-4 3.451821+6 7.673615-4 3.392217+6 7.762471-4 3.332399+6 7.852356-4 3.273840+6 8.035261-4 3.159406+6 8.128305-4 3.103948+6 8.200000-4 3.061155+6 8.222426-4 3.047992+6 8.413951-4 2.935356+6 8.600000-4 2.832992+6 8.609938-4 2.827670+6 8.673100-4 2.792866+6 8.673100-4 2.970139+6 8.709636-4 2.949337+6 8.810489-4 2.892007+6 8.850000-4 2.870084+6 8.912509-4 2.836500+6 9.000000-4 2.790642+6 9.120108-4 2.729421+6 9.225714-4 2.675820+6 9.440609-4 2.570648+6 9.500000-4 2.542816+6 9.660509-4 2.469695+6 9.772372-4 2.420348+6 9.850000-4 2.387098+6 9.885531-4 2.371834+6 9.930000-4 2.352724+6 1.023293-3 2.228487+6 1.030000-3 2.202216+6 1.047129-3 2.137347+6 1.048600-3 2.131929+6 1.048600-3 2.160928+6 1.050000-3 2.155788+6 1.056000-3 2.133845+6 1.059254-3 2.121887+6 1.071519-3 2.077173+6 1.090000-3 2.012457+6 1.110000-3 1.945529+6 1.122018-3 1.906807+6 1.135011-3 1.866344+6 1.155000-3 1.805279+6 1.161449-3 1.786286+6 1.174898-3 1.747384+6 1.189700-3 1.705843+6 1.189700-3 1.738940+6 1.216186-3 1.667909+6 1.230000-3 1.632494+6 1.230269-3 1.631816+6 1.244515-3 1.596016+6 1.250000-3 1.582450+6 1.258925-3 1.560629+6 1.273503-3 1.526033+6 1.288250-3 1.492273+6 1.290000-3 1.488350+6 1.303167-3 1.459392+6 1.318257-3 1.427243+6 1.330000-3 1.402812+6 1.333521-3 1.395583+6 1.348963-3 1.363916+6 1.350000-3 1.361831+6 1.364583-3 1.333036+6 1.380384-3 1.302883+6 1.400000-3 1.266992+6 1.412538-3 1.244656+6 1.428894-3 1.216350+6 1.445440-3 1.188582+6 1.462177-3 1.161525+6 1.479108-3 1.134639+6 1.480000-3 1.133250+6 1.496236-3 1.108426+6 1.500000-3 1.102744+6 1.513561-3 1.082635+6 1.570000-3 1.004440+6 1.584893-3 9.853112+5 1.610000-3 9.536973+5 1.621810-3 9.393759+5 1.640590-3 9.171628+5 1.659587-3 8.953575+5 1.698244-3 8.534598+5 1.737801-3 8.136896+5 1.757924-3 7.943111+5 1.770000-3 7.829578+5 1.778279-3 7.752439+5 1.819701-3 7.382504+5 1.840772-3 7.204865+5 1.883649-3 6.863666+5 1.900000-3 6.739162+5 1.905461-3 6.698093+5 1.950000-3 6.372883+5 1.972423-3 6.218297+5 2.000000-3 6.035979+5 2.018366-3 5.918716+5 2.041738-3 5.774378+5 2.065380-3 5.633131+5 2.070000-3 5.606161+5 2.089296-3 5.495511+5 2.113489-3 5.359348+5 2.162719-3 5.096825+5 2.187762-3 4.970731+5 2.200000-3 4.910694+5 2.238721-3 4.727839+5 2.264644-3 4.610475+5 2.290868-3 4.495129+5 2.300000-3 4.456009+5 2.317395-3 4.382589+5 2.344229-3 4.272472+5 2.398833-3 4.061261+5 2.400000-3 4.056920+5 2.426610-3 3.959179+5 2.454709-3 3.859868+5 2.483133-3 3.762970+5 2.511886-3 3.667966+5 2.540973-3 3.575080+5 2.570396-3 3.484389+5 2.630268-3 3.309761+5 2.660725-3 3.225553+5 2.691535-3 3.143547+5 2.710800-3 3.093887+5 2.720000-3 3.070369+5 2.722701-3 3.063506+5 2.754229-3 2.985094+5 2.800000-3 2.876547+5 2.818383-3 2.834633+5 2.851018-3 2.761912+5 2.917427-3 2.621226+5 2.985383-3 2.488140+5 3.000000-3 2.460646+5 3.019952-3 2.423756+5 3.090295-3 2.300087+5 3.111300-3 2.264831+5 3.111300-3 5.752787+5 3.126079-3 5.683926+5 3.150000-3 5.574821+5 3.162278-3 5.519912+5 3.198895-3 5.360605+5 3.213000-3 5.300898+5 3.235937-3 5.192183+5 3.258700-3 5.096375+5 3.258700-3 7.409203+5 3.273407-3 7.313635+5 3.275000-3 7.303363+5 3.281000-3 7.262274+5 3.290000-3 7.201237+5 3.311311-3 7.064929+5 3.349654-3 6.828640+5 3.378000-3 6.661063+5 3.427678-3 6.410879+5 3.507519-3 6.050359+5 3.548134-3 5.877813+5 3.589219-3 5.710231+5 3.600000-3 5.667240+5 3.630781-3 5.545014+5 3.672823-3 5.383975+5 3.758374-3 5.075870+5 3.773700-3 5.023248+5 3.773700-3 5.849930+5 3.801894-3 5.744140+5 3.845918-3 5.582536+5 3.890451-3 5.427350+5 3.935501-3 5.276686+5 3.981072-3 5.130065+5 4.027170-3 4.986118+5 4.073803-3 4.846142+5 4.120975-3 4.709172+5 4.150000-3 4.627640+5 4.168694-3 4.576132+5 4.216965-3 4.446865+5 4.300000-3 4.235552+5 4.365158-3 4.078468+5 4.415704-3 3.962108+5 4.482000-3 3.816503+5 4.482000-3 4.054592+5 4.518559-3 3.975048+5 4.560000-3 3.887558+5 4.570882-3 3.865220+5 4.623810-3 3.759117+5 4.677351-3 3.655391+5 4.731513-3 3.554656+5 4.795100-3 3.440439+5 4.795100-3 3.587550+5 4.800000-3 3.578783+5 4.841724-3 3.504729+5 4.897788-3 3.408561+5 4.920000-3 3.371517+5 5.011872-3 3.224013+5 5.128614-3 3.049372+5 5.150000-3 3.018899+5 5.188000-3 2.965963+5 5.248075-3 2.884347+5 5.308844-3 2.804642+5 5.350000-3 2.752416+5 5.432503-3 2.651680+5 5.500000-3 2.573201+5 5.559043-3 2.506899+5 5.623413-3 2.437407+5 5.688529-3 2.369885+5 5.754399-3 2.304309+5 5.800000-3 2.259937+5 5.821032-3 2.239830+5 5.888437-3 2.177182+5 6.009750-3 2.070479+5 6.025596-3 2.057111+5 6.095369-3 1.999712+5 6.165950-3 1.943990+5 6.237348-3 1.889915+5 6.309573-3 1.836813+5 6.456542-3 1.734760+5 6.606934-3 1.637894+5 6.683439-3 1.591575+5 6.800000-3 1.524216+5 6.839116-3 1.502518+5 6.918310-3 1.459927+5 7.000000-3 1.417577+5 7.079458-3 1.377952+5 7.161434-3 1.338721+5 7.300000-3 1.276028+5 7.413102-3 1.227939+5 7.585776-3 1.159471+5 7.673615-3 1.126632+5 7.762471-3 1.094777+5 7.852356-3 1.063672+5 7.943282-3 1.033394+5 8.035261-3 1.003809+5 8.222426-3 9.471573+4 8.317638-3 9.200981+4 8.413951-3 8.935370+4 8.511380-3 8.677465+4 8.609938-3 8.427411+4 8.709636-3 8.183823+4 8.810489-3 7.947472+4 9.015711-3 7.496147+4 9.120108-3 7.280096+4 9.225714-3 7.070525+4 9.549926-3 6.476826+4 9.660509-3 6.290389+4 9.800000-3 6.066015+4 9.885531-3 5.934042+4 1.000000-2 5.762242+4 1.011579-2 5.595670+4 1.035142-2 5.274894+4 1.047129-2 5.121193+4 1.059254-2 4.972180+4 1.071519-2 4.827170+4 1.096478-2 4.550342+4 1.109175-2 4.418154+4 1.122018-2 4.289447+4 1.135011-2 4.164284+4 1.150000-2 4.026176+4 1.174898-2 3.809703+4 1.188502-2 3.698448+4 1.202264-2 3.590472+4 1.216186-2 3.485756+4 1.230269-2 3.384254+4 1.244515-2 3.285793+4 1.258925-2 3.189957+4 1.273503-2 3.096416+4 1.288250-2 3.005093+4 1.303167-2 2.916594+4 1.318257-2 2.830834+4 1.333521-2 2.747660+4 1.348963-2 2.666817+4 1.364583-2 2.588467+4 1.380384-2 2.512395+4 1.396368-2 2.438647+4 1.412538-2 2.367119+4 1.428894-2 2.297613+4 1.445440-2 2.229709+4 1.462177-2 2.163905+4 1.479108-2 2.099922+4 1.496236-2 2.037912+4 1.513561-2 1.977827+4 1.531087-2 1.919540+4 1.545600-2 1.873123+4 1.545600-2 4.551984+4 1.552000-2 4.488041+4 1.556000-2 4.460789+4 1.566751-2 4.388665+4 1.570000-2 4.367149+4 1.580000-2 4.294436+4 1.584893-2 4.259464+4 1.603245-2 4.131741+4 1.621810-2 4.007500+4 1.625000-2 3.986673+4 1.640590-2 3.885451+4 1.659587-2 3.766878+4 1.678804-2 3.651991+4 1.698244-2 3.540562+4 1.717908-2 3.432596+4 1.737801-2 3.327973+4 1.757924-2 3.226452+4 1.770000-2 3.167573+4 1.778279-2 3.127542+4 1.819701-2 2.937306+4 1.840772-2 2.846479+4 1.856000-2 2.783100+4 1.856000-2 3.909244+4 1.862087-2 3.877555+4 1.880000-2 3.786364+4 1.900000-2 3.682508+4 1.923200-2 3.566893+4 1.923200-2 4.122370+4 1.940000-2 4.031603+4 1.949845-2 3.981009+4 1.950000-2 3.980220+4 1.972423-2 3.866931+4 1.995262-2 3.756178+4 2.000000-2 3.733771+4 2.018366-2 3.648687+4 2.030000-2 3.596505+4 2.041738-2 3.544494+4 2.065380-2 3.442850+4 2.080000-2 3.382006+4 2.089296-2 3.344064+4 2.100000-2 3.300660+4 2.162719-2 3.064246+4 2.170000-2 3.038361+4 2.187762-2 2.975847+4 2.213095-2 2.888957+4 2.238721-2 2.804677+4 2.264644-2 2.722895+4 2.290868-2 2.643564+4 2.300000-2 2.616705+4 2.317395-2 2.566533+4 2.344229-2 2.491763+4 2.398833-2 2.348687+4 2.426610-2 2.280346+4 2.483133-2 2.149278+4 2.511886-2 2.086630+4 2.540973-2 2.025439+4 2.570396-2 1.966081+4 2.600160-2 1.908515+4 2.630268-2 1.852688+4 2.660725-2 1.798201+4 2.691535-2 1.745286+4 2.722701-2 1.693905+4 2.754229-2 1.644077+4 2.851018-2 1.502544+4 2.884032-2 1.458068+4 2.917427-2 1.414944+4 2.951209-2 1.373103+4 2.985383-2 1.332189+4 3.000000-2 1.315197+4 3.019952-2 1.292493+4 3.054921-2 1.254008+4 3.090295-2 1.216655+4 3.162278-2 1.144910+4 3.273407-2 1.045334+4 3.311311-2 1.014149+4 3.349654-2 9.839172+3 3.388442-2 9.546073+3 3.400000-2 9.461093+3 3.427678-2 9.261822+3 3.467369-2 8.986218+3 3.507519-2 8.719028+3 3.548134-2 8.457715+3 3.589219-2 8.204204+3 3.630781-2 7.958188+3 3.672823-2 7.719738+3 3.715352-2 7.488603+3 3.801894-2 7.044652+3 3.845918-2 6.831463+3 3.890451-2 6.624886+3 3.935501-2 6.424646+3 4.000000-2 6.152364+3 4.027170-2 6.042489+3 4.073803-2 5.860183+3 4.120975-2 5.683307+3 4.168694-2 5.511891+3 4.216965-2 5.345598+3 4.265795-2 5.184261+3 4.315191-2 5.027463+3 4.415704-2 4.728262+3 4.570882-2 4.311189+3 4.623810-2 4.180667+3 4.677351-2 4.053573+3 4.731513-2 3.930430+3 4.786301-2 3.810993+3 4.841724-2 3.695274+3 4.897788-2 3.583035+3 4.954502-2 3.473535+3 5.069907-2 3.264492+3 5.188000-2 3.068298+3 5.248075-2 2.974747+3 5.370318-2 2.796300+3 5.432503-2 2.711220+3 5.495409-2 2.628768+3 5.500000-2 2.622887+3 5.559043-2 2.548846+3 5.688529-2 2.395645+3 5.754399-2 2.322296+3 5.821032-2 2.251243+3 5.888437-2 2.182344+3 6.095369-2 1.987074+3 6.237348-2 1.866895+3 6.309573-2 1.809611+3 6.531306-2 1.648294+3 6.606934-2 1.597848+3 6.760830-2 1.501535+3 6.839116-2 1.455622+3 6.918310-2 1.411132+3 7.000000-2 1.366903+3 7.079458-2 1.325598+3 7.328245-2 1.206571+3 7.444800-2 1.155876+3 7.498942-2 1.133330+3 7.673615-2 1.064613+3 7.943282-2 9.694109+2 8.000000-2 9.508134+2 8.035261-2 9.394961+2 8.317638-2 8.552005+2 8.413951-2 8.288152+2 8.511380-2 8.032485+2 8.609938-2 7.784844+2 8.709636-2 7.544973+2 9.015711-2 6.869113+2 9.120108-2 6.657514+2 9.225714-2 6.452299+2 9.440609-2 6.058979+2 9.772372-2 5.514180+2 1.000000-1 5.178813+2 1.011580-1 5.018993+2 1.023293-1 4.863966+2 1.035142-1 4.713798+2 1.043200-1 4.615303+2 1.043200-1 2.044829+3 1.047129-1 2.025872+3 1.059254-1 1.968904+3 1.065000-1 1.942695+3 1.071519-1 1.910928+3 1.075000-1 1.894257+3 1.083927-1 1.858272+3 1.088000-1 1.842157+3 1.109175-1 1.751172+3 1.125000-1 1.687190+3 1.135011-1 1.650380+3 1.148154-1 1.603748+3 1.161449-1 1.558444+3 1.174898-1 1.514425+3 1.188502-1 1.469802+3 1.202264-1 1.426497+3 1.230269-1 1.343689+3 1.258925-1 1.265707+3 1.273503-1 1.228432+3 1.288250-1 1.192244+3 1.303167-1 1.157128+3 1.372700-1 1.012203+3 1.380384-1 9.977669+2 1.412538-1 9.403698+2 1.479108-1 8.353322+2 1.500000-1 8.053385+2 1.513561-1 7.866640+2 1.531088-1 7.634069+2 1.548817-1 7.408411+2 1.566751-1 7.189493+2 1.603245-1 6.770913+2 1.611800-1 6.677728+2 1.650000-1 6.282637+2 1.659587-1 6.188524+2 1.678804-1 6.005678+2 1.698244-1 5.828249+2 1.737801-1 5.489017+2 1.757924-1 5.326900+2 1.798871-1 5.016935+2 1.840772-1 4.725084+2 1.883649-1 4.450268+2 1.905461-1 4.318997+2 1.927525-1 4.191616+2 1.949845-1 4.067999+2 1.972423-1 3.948041+2 2.000000-1 3.808080+2 2.018366-1 3.718676+2 2.089296-1 3.399619+2 2.113489-1 3.299497+2 2.137962-1 3.202335+2 2.213095-1 2.927715+2 2.264644-1 2.757961+2 2.290868-1 2.676819+2 2.344229-1 2.521645+2 2.371374-1 2.447519+2 2.398833-1 2.375578+2 2.426610-1 2.306356+2 2.454709-1 2.239155+2 2.483133-1 2.173925+2 2.540973-1 2.049124+2 2.570396-1 1.989446+2 2.600160-1 1.931551+2 2.630268-1 1.875354+2 2.660725-1 1.820794+2 2.691535-1 1.767909+2 2.754229-1 1.666716+2 2.786121-1 1.618350+2 2.851018-1 1.525794+2 2.884032-1 1.481529+2 2.917427-1 1.438552+2 2.951209-1 1.396825+2 2.985383-1 1.357078+2 3.000000-1 1.340560+2 3.054921-1 1.280953+2 3.090295-1 1.244510+2 3.126079-1 1.209111+2 3.162278-1 1.174720+2 3.198895-1 1.141313+2 3.273407-1 1.077349+2 3.311311-1 1.046753+2 3.349654-1 1.017028+2 3.388442-1 9.881632+1 3.427678-1 9.601598+1 3.467369-1 9.329507+1 3.548134-1 8.808275+1 3.589219-1 8.562909+1 3.672823-1 8.092600+1 3.715352-1 7.867244+1 3.722400-1 7.830760+1 3.758374-1 7.648210+1 3.801894-1 7.435556+1 3.845918-1 7.228851+1 3.890451-1 7.027987+1 3.935501-1 6.832708+1 3.981072-1 6.642865+1 4.000000-1 6.566196+1 4.027170-1 6.458306+1 4.073803-1 6.279195+1 4.120975-1 6.108038+1 4.168694-1 5.941583+1 4.216965-1 5.779784+1 4.265795-1 5.622404+1 4.315191-1 5.469444+1 4.365158-1 5.320653+1 4.415705-1 5.175911+1 4.466836-1 5.035117+1 4.518559-1 4.898174+1 4.677351-1 4.509487+1 4.731513-1 4.389529+1 4.786301-1 4.272773+1 4.841724-1 4.159125+1 4.897788-1 4.048605+1 5.000000-1 3.857645+1 5.011872-1 3.836304+1 5.069907-1 3.734371+1 5.128614-1 3.635149+1 5.188000-1 3.538580+1 5.248075-1 3.444675+1 5.308844-1 3.355066+1 5.432503-1 3.183200+1 5.495409-1 3.100671+1 5.559043-1 3.020290+1 5.623413-1 2.941995+1 5.688529-1 2.865732+1 5.754399-1 2.791448+1 5.821032-1 2.719130+1 5.888437-1 2.648697+1 5.956621-1 2.580104+1 6.000000-1 2.538663+1 6.025596-1 2.514681+1 6.095369-1 2.450951+1 6.165950-1 2.389039+1 6.237348-1 2.328696+1 6.309573-1 2.269879+1 6.382635-1 2.212549+1 6.456542-1 2.156699+1 6.531306-1 2.102267+1 6.683439-1 1.997499+1 6.760830-1 1.947137+1 6.839117-1 1.899080+1 6.918310-1 1.852239+1 6.998420-1 1.806557+1 7.079458-1 1.762115+1 7.161434-1 1.718783+1 7.244360-1 1.676523+1 7.328245-1 1.635306+1 7.413102-1 1.595103+1 7.498942-1 1.555888+1 7.585776-1 1.517674+1 7.673615-1 1.480407+1 7.762471-1 1.444873+1 7.852356-1 1.410200+1 7.943282-1 1.376378+1 8.000000-1 1.355885+1 8.035261-1 1.343370+1 8.128305-1 1.311174+1 8.222427-1 1.279837+1 8.413951-1 1.219394+1 8.511380-1 1.190275+1 8.609938-1 1.161854+1 8.709636-1 1.134771+1 8.810489-1 1.108347+1 8.912509-1 1.082539+1 9.015711-1 1.057355+1 9.120108-1 1.032758+1 9.225714-1 1.008807+1 9.332543-1 9.854127+0 9.440609-1 9.625829+0 9.549926-1 9.402912+0 9.660509-1 9.185481+0 9.772372-1 8.978388+0 9.885531-1 8.775964+0 1.000000+0 8.578495+0 1.011579+0 8.385478+0 1.023293+0 8.196792+0 1.035142+0 8.013057+0 1.047129+0 7.833435+0 1.059254+0 7.657851+0 1.071519+0 7.486241+0 1.096478+0 7.154670+0 1.109175+0 6.994430+0 1.122018+0 6.837801+0 1.135011+0 6.684877+0 1.148154+0 6.535380+0 1.161449+0 6.389257+0 1.174898+0 6.246487+0 1.188502+0 6.109802+0 1.202264+0 5.976123+0 1.216186+0 5.845455+0 1.230269+0 5.718029+0 1.244515+0 5.593382+0 1.250000+0 5.546544+0 1.258925+0 5.471622+0 1.273503+0 5.352537+0 1.288250+0 5.236113+0 1.318257+0 5.010816+0 1.333521+0 4.904626+0 1.348963+0 4.800683+0 1.364583+0 4.699025+0 1.380384+0 4.599825+0 1.396368+0 4.502808+0 1.412538+0 4.407869+0 1.428894+0 4.314976+0 1.500000+0 3.944190+0 1.513561+0 3.880821+0 1.531087+0 3.801241+0 1.548817+0 3.723350+0 1.603245+0 3.499852+0 1.640590+0 3.358357+0 1.659587+0 3.289791+0 1.698244+0 3.156948+0 1.717908+0 3.094347+0 1.737801+0 3.033064+0 1.798871+0 2.857010+0 1.819701+0 2.800626+0 1.840772+0 2.745359+0 1.862087+0 2.691182+0 1.883649+0 2.638092+0 1.905461+0 2.586105+0 1.927525+0 2.536659+0 1.949845+0 2.488228+0 2.000000+0 2.385024+0 2.018366+0 2.348936+0 2.041738+0 2.304262+0 2.089296+0 2.217447+0 2.113489+0 2.175286+0 2.187762+0 2.053653+0 2.213095+0 2.015585+0 2.264644+0 1.941642+0 2.317395+0 1.870634+0 2.344229+0 1.836111+0 2.371374+0 1.802226+0 2.426610+0 1.736321+0 2.454709+0 1.704288+0 2.540973+0 1.611771+0 2.570396+0 1.582838+0 2.630268+0 1.526588+0 2.691535+0 1.472516+0 2.722701+0 1.446202+0 2.754229+0 1.420360+0 2.818383+0 1.370053+0 2.851018+0 1.345579+0 2.951209+0 1.274819+0 3.019952+0 1.231111+0 3.090295+0 1.189062+0 3.126079+0 1.168579+0 3.198895+0 1.128667+0 3.235937+0 1.109232+0 3.388442+0 1.034849+0 3.507519+0 9.837845-1 3.589219+0 9.512604-1 3.630781+0 9.354035-1 3.715352+0 9.044806-1 3.758374+0 8.894093-1 3.935501+0 8.316482-1 4.073803+0 7.919158-1 4.168694+0 7.665725-1 4.216965+0 7.542067-1 4.265795+0 7.420405-1 4.365158+0 7.182946-1 4.415704+0 7.067119-1 4.623810+0 6.622597-1 4.786301+0 6.316445-1 4.897788+0 6.120918-1 4.954502+0 6.025436-1 5.011872+0 5.931445-1 5.128614+0 5.747845-1 5.188000+0 5.658216-1 5.432503+0 5.313774-1 5.495409+0 5.230991-1 5.688529+0 4.996939-1 5.821032+0 4.847260-1 5.888437+0 4.774110-1 5.956621+0 4.702066-1 6.095369+0 4.561228-1 6.165950+0 4.492420-1 6.456542+0 4.227658-1 6.531306+0 4.163943-1 6.760830+0 3.983381-1 6.918310+0 3.867744-1 7.000000+0 3.810090-1 7.079458+0 3.755464-1 7.161434+0 3.700553-1 7.328245+0 3.593132-1 7.413102+0 3.540612-1 7.762471+0 3.338279-1 7.852356+0 3.289530-1 8.128305+0 3.151104-1 8.222427+0 3.106409-1 8.413951+0 3.018923-1 8.511380+0 2.976109-1 8.609938+0 2.933901-1 8.709636+0 2.892293-1 8.810489+0 2.851277-1 8.912509+0 2.810843-1 9.015711+0 2.770993-1 9.332543+0 2.654908-1 9.440609+0 2.617305-1 9.885531+0 2.475666-1 1.023293+1 2.374781-1 1.047129+1 2.309818-1 1.059254+1 2.278007-1 1.083927+1 2.215694-1 1.100000+1 2.176756-1 1.109175+1 2.155086-1 1.122018+1 2.125417-1 1.161449+1 2.038907-1 1.174898+1 2.010861-1 1.216186+1 1.931074-1 1.258925+1 1.854679-1 1.288250+1 1.805434-1 1.303167+1 1.781305-1 1.348963+1 1.710835-1 1.380384+1 1.665413-1 1.400000+1 1.638176-1 1.412538+1 1.621201-1 1.462177+1 1.557139-1 1.479108+1 1.536783-1 1.500000+1 1.512367-1 1.513561+1 1.496906-1 1.548817+1 1.458157-1 1.603245+1 1.401907-1 1.621810+1 1.383643-1 1.640590+1 1.365617-1 1.659587+1 1.347827-1 1.757924+1 1.262289-1 1.778279+1 1.245845-1 1.800000+1 1.228736-1 1.819701+1 1.213597-1 1.840772+1 1.197790-1 1.883649+1 1.166818-1 1.905461+1 1.151961-1 1.927525+1 1.137311-1 1.972423+1 1.108641-1 2.041738+1 1.066986-1 2.089296+1 1.040089-1 2.113489+1 1.026896-1 2.137962+1 1.013871-1 2.290868+1 9.391136-2 2.344229+1 9.154405-2 2.371374+1 9.038290-2 2.400000+1 8.918838-2 2.426610+1 8.810481-2 2.483133+1 8.588597-2 2.511886+1 8.481835-2 2.540973+1 8.376499-2 2.630268+1 8.068982-2 2.691535+1 7.870267-2 2.722701+1 7.772755-2 2.800000+1 7.540649-2 2.851018+1 7.394631-2 2.884032+1 7.303009-2 3.162278+1 6.609753-2 3.235937+1 6.446977-2 3.273407+1 6.367102-2 3.311311+1 6.288216-2 3.349654+1 6.210320-2 3.427678+1 6.057509-2 3.467369+1 5.983825-2 3.507519+1 5.911103-2 3.630781+1 5.698633-2 3.672823+1 5.629522-2 3.758374+1 5.493802-2 3.845918+1 5.361354-2 3.935501+1 5.232099-2 4.027170+1 5.105962-2 4.570882+1 4.464636-2 4.623810+1 4.410490-2 4.731513+1 4.304160-2 4.841724+1 4.200396-2 4.897788+1 4.149464-2 4.954502+1 4.099179-2 5.069907+1 4.000430-2 5.128614+1 3.952741-2 5.308844+1 3.813394-2 5.370318+1 3.768045-2 5.432503+1 3.723236-2 5.559043+1 3.635208-2 5.688529+1 3.549264-2 5.754399+1 3.507056-2 6.918310+1 2.896102-2 7.079458+1 2.827631-2 7.328245+1 2.727949-2 7.673615+1 2.600485-2 7.762471+1 2.569565-2 7.852356+1 2.539024-2 8.000000+1 2.490377-2 8.128305+1 2.449565-2 8.222427+1 2.420779-2 8.317638+1 2.392341-2 8.810489+1 2.255320-2 8.912509+1 2.228872-2 9.015711+1 2.202735-2 9.225714+1 2.151375-2 9.332543+1 2.126147-2 9.549926+1 2.076573-2 9.660509+1 2.052222-2 1.188502+2 1.659629-2 1.216186+2 1.620933-2 1.258925+2 1.564575-2 1.333521+2 1.474966-2 1.364583+2 1.440591-2 1.380384+2 1.423705-2 1.412538+2 1.390525-2 1.428894+2 1.374377-2 1.445440+2 1.358416-2 1.462177+2 1.342662-2 1.548817+2 1.266610-2 1.584893+2 1.237411-2 1.603245+2 1.223064-2 1.640590+2 1.194868-2 1.678804+2 1.167322-2 1.717908+2 1.140411-2 1.737801+2 1.127188-2 2.371374+2 8.227176-3 2.426610+2 8.037511-3 2.511886+2 7.761179-3 2.660725+2 7.321576-3 2.722701+2 7.152830-3 2.754229+2 7.069920-3 2.818383+2 6.906975-3 2.851018+2 6.827334-3 2.884032+2 6.748609-3 2.917427+2 6.670853-3 3.090295+2 6.295361-3 3.162278+2 6.151149-3 3.198895+2 6.080288-3 3.273407+2 5.941004-3 3.349654+2 5.804912-3 3.427678+2 5.671935-3 3.467369+2 5.606593-3 4.731513+2 4.100448-3 4.841724+2 4.006518-3 5.011872+2 3.869641-3 5.308844+2 3.651827-3 5.432503+2 3.568186-3 5.495409+2 3.527087-3 5.623413+2 3.446304-3 5.688529+2 3.406748-3 5.754399+2 3.367647-3 5.821032+2 3.329014-3 1.230269+3 1.572681-3 1.258925+3 1.536810-3 1.273503+3 1.519181-3 1.303167+3 1.484529-3 1.333521+3 1.450669-3 1.364583+3 1.417579-3 1.380384+3 1.401319-3 1.883649+3 1.026259-3 1.927525+3 1.002850-3 1.995262+3 9.687350-4 2.113489+3 9.144356-4 4.216965+3 4.576710-4 4.315191+3 4.472326-4 4.365158+3 4.421032-4 4.466836+3 4.320199-4 4.518559+3 4.270727-4 4.570882+3 4.221821-4 4.623810+3 4.173486-4 3.890451+4 4.958927-5 3.981072+4 4.846034-5 8.035261+4 2.400766-5 8.222427+4 2.346111-5 1.000000+5 1.929027-5 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.730000-6 4.730000-6 1.862000-5 4.730000-6 1.862000-5 1.856544-5 2.488000-5 1.854329-5 2.488000-5 2.210073-5 2.818383-5 2.202693-5 3.954000-5 2.209809-5 3.954000-5 2.329229-5 5.308844-5 2.311090-5 6.400000-5 2.313942-5 7.552000-5 2.326030-5 7.552000-5 7.349862-5 8.132000-5 7.320597-5 8.132000-5 7.725114-5 1.174898-4 7.517895-5 1.364583-4 7.358136-5 1.566751-4 7.128031-5 1.598300-4 7.087101-5 1.598300-4 9.510329-5 1.599000-4 9.475997-5 1.601700-4 9.436763-5 1.617000-4 9.395785-5 1.643000-4 9.390328-5 1.720000-4 9.477582-5 1.883649-4 9.682304-5 2.003200-4 9.794410-5 2.003200-4 1.096281-4 2.213095-4 1.096404-4 2.536300-4 1.083326-4 2.536300-4 1.165636-4 2.911900-4 1.151775-4 2.911900-4 1.302479-4 2.922000-4 1.292690-4 2.947000-4 1.282855-4 2.997000-4 1.277937-4 2.997000-4 1.350788-4 3.022000-4 1.345302-4 3.073000-4 1.346506-4 3.126079-4 1.357281-4 3.172000-4 1.375978-4 3.220000-4 1.405952-4 3.280000-4 1.455412-4 3.388442-4 1.552511-4 3.460000-4 1.607201-4 3.540000-4 1.656020-4 3.630781-4 1.697518-4 3.715352-4 1.725220-4 3.820000-4 1.749178-4 3.985000-4 1.772570-4 4.200000-4 1.788965-4 4.570882-4 1.800914-4 5.308844-4 1.805946-4 6.030600-4 1.804035-4 6.030600-4 1.906195-4 6.367700-4 1.910895-4 6.367700-4 1.970019-4 7.585776-4 2.007161-4 8.673100-4 2.046124-4 8.673100-4 2.160080-4 1.048600-3 2.230537-4 1.048600-3 2.261331-4 1.189700-3 2.316537-4 1.189700-3 2.364973-4 1.462177-3 2.465375-4 1.778279-3 2.560323-4 2.113489-3 2.642766-4 2.570396-3 2.733556-4 3.111300-3 2.818961-4 3.111300-3 4.154619-4 3.258700-3 4.149359-4 3.258700-3 4.413893-4 3.427678-3 4.403060-4 3.773700-3 4.402045-4 3.773700-3 4.741138-4 4.482000-3 4.786763-4 4.482000-3 4.956004-4 4.795100-3 4.989144-4 4.795100-3 5.138294-4 6.309573-3 5.316525-4 8.222426-3 5.494957-4 1.059254-2 5.665979-4 1.348963-2 5.825714-4 1.545600-2 5.912893-4 1.545600-2 7.265868-4 1.856000-2 7.299758-4 1.856000-2 7.614777-4 1.923200-2 7.622950-4 1.923200-2 8.192397-4 2.754229-2 8.417151-4 3.845918-2 8.625352-4 5.248075-2 8.815364-4 7.079458-2 8.991852-4 9.772372-2 9.167471-4 1.043200-1 9.201052-4 1.043200-1 8.392417-4 2.540973-1 8.446543-4 6.760830-1 8.478503-4 1.000000+5 8.482237-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.730000-6 0.0 1.598300-4 0.0 1.598300-4 3.79259-10 1.598400-4 3.77041-10 1.599000-4 3.73985-10 1.599900-4 3.71239-10 1.601700-4 3.68232-10 1.604000-4 3.66500-10 1.609000-4 3.64791-10 1.617000-4 3.64043-10 1.627000-4 3.64514-10 1.643000-4 3.67010-10 1.665000-4 3.72700-10 1.690000-4 3.80800-10 1.780000-4 4.13397-10 1.850000-4 4.36113-10 1.905461-4 4.51933-10 2.003200-4 4.76581-10 2.003200-4 2.034386-9 2.170000-4 1.951898-9 2.264644-4 1.882961-9 2.454709-4 1.730152-9 2.536300-4 1.668929-9 2.536300-4 1.749318-9 2.691535-4 1.644065-9 2.851018-4 1.544186-9 2.911900-4 1.508871-9 2.911900-4 2.019182-8 2.912300-4 2.004977-8 2.914000-4 1.979584-8 2.917427-4 1.941556-8 2.922000-4 1.902302-8 2.928000-4 1.863066-8 2.933000-4 1.837936-8 2.940000-4 1.810976-8 2.947000-4 1.791384-8 2.955000-4 1.775880-8 2.965000-4 1.763227-8 2.980000-4 1.753810-8 2.997000-4 1.752773-8 2.997000-4 1.561094-8 3.019952-4 1.581266-8 3.045000-4 1.605394-8 3.057000-4 1.619928-8 3.073000-4 1.646136-8 3.090000-4 1.683296-8 3.100000-4 1.710217-8 3.115000-4 1.757907-8 3.130000-4 1.815113-8 3.145000-4 1.881665-8 3.162278-4 1.970127-8 3.180000-4 2.073570-8 3.200000-4 2.205271-8 3.220000-4 2.350178-8 3.245000-4 2.547119-8 3.320000-4 3.162293-8 3.350000-4 3.391506-8 3.380000-4 3.600846-8 3.412100-4 3.801283-8 3.440000-4 3.957105-8 3.470000-4 4.107031-8 3.515000-4 4.300373-8 3.550000-4 4.429318-8 3.580000-4 4.523083-8 3.600000-4 4.581721-8 3.630781-4 4.656233-8 3.665000-4 4.724481-8 3.700000-4 4.781507-8 3.758374-4 4.850423-8 3.850000-4 4.926784-8 3.935501-4 4.972494-8 4.080000-4 5.014671-8 4.350000-4 5.031481-8 4.786301-4 5.028018-8 6.000000-4 4.968805-8 6.030600-4 4.966452-8 6.030600-4 5.193754-8 6.367700-4 5.190578-8 6.367700-4 5.786720-8 7.000000-4 5.862235-8 7.852356-4 6.000576-8 8.673100-4 6.146250-8 8.673100-4 7.472322-8 9.225714-4 7.609219-8 1.048600-3 7.945280-8 1.048600-3 8.299128-8 1.189700-3 8.722613-8 1.189700-3 9.374930-8 1.428894-3 1.014823-7 1.659587-3 1.080338-7 1.950000-3 1.154043-7 2.200000-3 1.210449-7 2.570396-3 1.284164-7 2.985383-3 1.356412-7 3.111300-3 1.376540-7 3.111300-3 1.771222-7 3.258700-3 1.776323-7 3.258700-3 3.831448-5 3.290000-3 3.805832-5 3.378000-3 3.701841-5 3.427678-3 3.684819-5 3.672823-3 3.674774-5 3.773700-3 3.674043-5 3.773700-3 3.640418-5 4.216965-3 3.613809-5 4.482000-3 3.596006-5 4.482000-3 4.021731-5 4.795100-3 4.041342-5 4.795100-3 4.104744-5 5.888437-3 4.183392-5 7.413102-3 4.265321-5 9.885531-3 4.369541-5 1.318257-2 4.469251-5 1.545600-2 4.522790-5 1.545600-2 3.151571-3 1.552000-2 3.144104-3 1.584893-2 3.149062-3 1.856000-2 3.121991-3 1.856000-2 4.588741-3 1.923200-2 4.603192-3 1.923200-2 4.801729-3 2.426610-2 4.855824-3 3.019952-2 4.889528-3 4.120975-2 4.919069-3 6.606934-2 4.936468-3 1.043200-1 4.933204-3 1.043200-1 7.339070-2 1.230269-1 7.397396-2 1.611800-1 7.465799-2 2.344229-1 7.526527-2 4.518559-1 7.596302-2 9.225714-1 7.664731-2 2.454709+0 7.669482-2 1.000000+5 7.669573-2 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.730000-6 0.0 1.862000-5 1.389000-5 1.862000-5 5.455567-8 2.000000-5 1.440887-6 2.488000-5 6.336709-6 2.488000-5 2.779273-6 2.540973-5 3.333320-6 2.660725-5 4.563032-6 2.818383-5 6.156905-6 3.954000-5 1.744191-5 3.954000-5 1.624771-5 5.400000-5 3.089252-5 7.328245-5 5.004932-5 7.552000-5 5.225970-5 7.552000-5 2.021381-6 7.870000-5 5.343289-6 8.132000-5 8.114026-6 8.132000-5 4.068862-6 8.317638-5 6.030584-6 9.549926-5 1.908814-5 1.161449-4 4.087542-5 1.303167-4 5.615520-5 1.450000-4 7.232208-5 1.598300-4 8.895899-5 1.598300-4 6.472633-5 1.598400-4 6.487895-5 1.599900-4 6.541338-5 1.604000-4 6.616391-5 1.617000-4 6.774178-5 1.643000-4 7.039635-5 1.690000-4 7.465743-5 1.850000-4 8.853665-5 2.003200-4 1.023754-4 2.003200-4 9.068982-5 2.190000-4 1.093168-4 2.511886-4 1.427263-4 2.536300-4 1.452958-4 2.536300-4 1.370647-4 2.911900-4 1.760110-4 2.911900-4 1.609219-4 2.922000-4 1.629120-4 2.951209-4 1.668981-4 2.997000-4 1.718888-4 2.997000-4 1.646056-4 3.032000-4 1.687096-4 3.090000-4 1.740958-4 3.145000-4 1.781107-4 3.200000-4 1.807619-4 3.260000-4 1.821811-4 3.400000-4 1.837573-4 3.470000-4 1.855554-4 3.550000-4 1.888294-4 3.630781-4 1.932798-4 3.740000-4 2.007740-4 3.890451-4 2.129155-4 4.120975-4 2.336271-4 4.550000-4 2.748984-4 5.720000-4 3.914230-4 6.030600-4 4.226068-4 6.030600-4 4.123885-4 6.367700-4 4.456286-4 6.367700-4 4.397103-4 8.673100-4 6.626361-4 8.673100-4 6.512273-4 1.048600-3 8.254668-4 1.048600-3 8.223839-4 1.189700-3 9.579590-4 1.189700-3 9.531089-4 1.840772-3 1.582966-3 3.111300-3 2.829266-3 3.111300-3 2.695661-3 3.258700-3 2.843586-3 3.258700-3 2.778996-3 3.773700-3 3.296755-3 3.773700-3 3.263182-3 4.482000-3 3.967364-3 4.482000-3 3.946182-3 4.795100-3 4.255772-3 4.795100-3 4.240223-3 1.188502-2 1.126642-2 1.545600-2 1.481948-2 1.545600-2 1.157784-2 1.856000-2 1.470803-2 1.856000-2 1.320978-2 1.923200-2 1.386651-2 1.923200-2 1.361103-2 3.162278-2 2.587730-2 1.043200-1 9.846669-2 1.043200-1 3.009006-2 1.083927-1 3.399293-2 1.202264-1 4.546782-2 1.611800-1 8.567989-2 2.754229-1 1.991226-1 1.717908+0 1.640367+0 1.000000+5 9.999993+4 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.043200-1 1.583299+3 1.065000-1 1.506428+3 1.075000-1 1.468942+3 1.088000-1 1.430542+3 1.125000-1 1.311512+3 1.174898-1 1.180688+3 1.303167-1 9.053994+2 1.479108-1 6.571161+2 2.398833-1 1.890494+2 2.951209-1 1.114945+2 3.548134-1 7.050696+1 4.073803-1 5.036936+1 4.677351-1 3.624662+1 5.248075-1 2.773223+1 5.956621-1 2.080826+1 6.760830-1 1.572987+1 7.673615-1 1.197781+1 8.609938-1 9.415104+0 9.660509-1 7.453312+0 1.174898+0 5.072270+0 1.318257+0 4.068260+0 1.500000+0 3.201381+0 1.698244+0 2.562361+0 1.905461+0 2.099093+0 2.187762+0 1.666890+0 2.540973+0 1.308218+0 2.951209+0 1.034748+0 3.388442+0 8.399525-1 3.935501+0 6.750266-1 4.623810+0 5.375398-1 5.495409+0 4.245852-1 6.531306+0 3.379770-1 7.852356+0 2.670047-1 9.440609+0 2.124394-1 1.174898+1 1.632173-1 1.462177+1 1.263912-1 1.883649+1 9.471138-2 2.483133+1 6.971485-2 3.427678+1 4.917003-2 5.069907+1 3.247256-2 8.128305+1 1.988378-2 1.412538+2 1.128728-2 2.818383+2 5.606631-3 5.623413+2 2.797521-3 4.466836+3 3.506866-4 1.000000+5 1.565900-5 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.043200-1 8.156700-4 1.000000+5 8.156700-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.043200-1 9.334600-2 1.000000+5 9.334600-2 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.043200-1 1.015833-2 1.000000+5 9.999991+4 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.923200-2 5.554772+3 1.940000-2 5.452843+3 2.030000-2 5.058000+3 2.100000-2 4.756900+3 2.170000-2 4.510700+3 2.426610-2 3.686670+3 2.630268-2 3.193249+3 2.851018-2 2.744964+3 3.090295-2 2.351348+3 3.801894-2 1.557619+3 4.265795-2 1.227247+3 4.897788-2 9.177967+2 5.888437-2 6.147715+2 6.918310-2 4.285517+2 7.943282-2 3.124367+2 9.225714-2 2.204965+2 1.083927-1 1.504814+2 1.303167-1 9.655735+1 1.650000-1 5.426540+1 2.660725-1 1.672504+1 3.388442-1 9.322167+0 4.027170-1 6.181444+0 4.677351-1 4.359279+0 5.308844-1 3.264099+0 6.095369-1 2.397668+0 6.998420-1 1.774401+0 8.128305-1 1.291541+0 9.120108-1 1.018532+0 1.023293+0 8.091552-1 1.216186+0 5.772692-1 1.364583+0 4.639680-1 1.548817+0 3.675513-1 1.737801+0 2.994629-1 1.949845+0 2.456720-1 2.264644+0 1.916970-1 2.630268+0 1.507226-1 3.019952+0 1.215737-1 3.507519+0 9.714111-2 4.073803+0 7.819444-2 4.786301+0 6.236873-2 5.688529+0 4.934144-2 6.760830+0 3.933549-2 8.128305+0 3.111654-2 9.885531+0 2.444609-2 1.216186+1 1.907116-2 1.513561+1 1.478516-2 1.927525+1 1.123354-2 2.540973+1 8.273965-3 3.507519+1 5.838815-3 5.128614+1 3.904897-3 8.317638+1 2.363215-3 1.445440+2 1.341930-3 2.884032+2 6.667220-4 5.754399+2 3.326961-4 4.570882+3 4.170976-5 1.000000+5 1.905800-6 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.923200-2 1.184900-3 1.000000+5 1.184900-3 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.923200-2 6.076600-3 1.000000+5 6.076600-3 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.923200-2 1.197050-2 1.000000+5 9.999999+4 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.856000-2 1.126144+4 1.880000-2 1.099304+4 1.950000-2 1.007900+4 2.018366-2 9.246900+3 2.089296-2 8.498800+3 2.511886-2 5.314300+3 2.754229-2 4.178000+3 3.507519-2 2.186600+3 4.415704-2 1.159400+3 5.559043-2 6.068100+2 7.000000-2 3.141800+2 9.015711-2 1.513200+2 1.603245-1 2.846000+1 2.018366-1 1.467800+1 2.344229-1 9.595613+0 2.754229-1 6.115324+0 3.273407-1 3.805257+0 3.758374-1 2.622407+0 4.265795-1 1.877129+0 4.841724-1 1.353741+0 5.432503-1 1.012893+0 6.095369-1 7.634047-1 6.683439-1 6.124871-1 7.498942-1 4.687301-1 8.413951-1 3.614899-1 9.549926-1 2.736465-1 1.023293+0 2.367821-1 1.122018+0 1.967439-1 1.244515+0 1.609619-1 1.380384+0 1.327382-1 1.659587+0 9.526246-2 1.883649+0 7.637995-2 2.113489+0 6.295210-2 2.454709+0 4.932084-2 2.851018+0 3.893778-2 3.235937+0 3.209592-2 3.758374+0 2.573564-2 4.415704+0 2.044862-2 5.188000+0 1.637036-2 6.165950+0 1.299850-2 7.413102+0 1.024479-2 9.015711+0 8.018470-3 1.122018+1 6.150611-3 1.412538+1 4.691688-3 1.840772+1 3.467284-3 2.426610+1 2.550433-3 3.349654+1 1.797819-3 4.897788+1 1.201183-3 7.762471+1 7.438320-4 1.333521+2 4.269474-4 2.660725+2 2.119741-4 5.308844+2 1.057362-4 2.113489+3 2.645800-5 1.000000+5 5.585900-7 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.856000-2 8.393300-4 1.000000+5 8.393300-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.856000-2 8.213600-3 1.000000+5 8.213600-3 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.856000-2 9.507070-3 1.000000+5 9.999999+4 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.545600-2 2.678861+4 1.552000-2 2.634876+4 1.570000-2 2.568636+4 1.625000-2 2.342904+4 1.770000-2 1.853096+4 2.187762-2 1.022604+4 2.426610-2 7.587765+3 2.951209-2 4.285379+3 3.715352-2 2.153669+3 4.623810-2 1.105684+3 5.688529-2 5.821409+2 7.079458-2 2.932095+2 9.120108-2 1.314828+2 1.548817-1 2.436103+1 1.883649-1 1.310683+1 2.213095-1 7.927179+0 2.570396-1 5.005339+0 2.951209-1 3.297355+0 3.349654-1 2.263175+0 3.758374-1 1.617977+0 4.168694-1 1.203704+0 4.677351-1 8.732017-1 5.188000-1 6.586432-1 5.754399-1 5.002078-1 6.382635-1 3.825828-1 7.079458-1 2.947652-1 8.035261-1 2.155745-1 8.709636-1 1.778524-1 9.332543-1 1.518716-1 9.885531-1 1.339324-1 1.071519+0 1.133339-1 1.161449+0 9.655692-2 1.273503+0 8.098065-2 1.412538+0 6.695480-2 1.717908+0 4.719150-2 1.927525+0 3.866470-2 2.213095+0 3.071967-2 2.570396+0 2.412351-2 2.951209+0 1.943358-2 3.388442+0 1.577487-2 3.935501+0 1.267718-2 4.623810+0 1.009506-2 5.495409+0 7.973782-3 6.531306+0 6.347408-3 7.852356+0 5.014366-3 9.440609+0 3.989703-3 1.174898+1 3.065309-3 1.479108+1 2.342423-3 1.905461+1 1.755857-3 2.511886+1 1.292893-3 3.467369+1 9.121129-4 5.069907+1 6.098432-4 8.222427+1 3.690078-4 1.445440+2 2.070589-4 2.884032+2 1.028759-4 5.754399+2 5.133630-5 4.570882+3 6.435829-6 1.000000+5 2.940800-7 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.545600-2 8.211900-4 1.000000+5 8.211900-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.545600-2 5.323600-3 1.000000+5 5.323600-3 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.545600-2 9.311210-3 1.000000+5 9.999999+4 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 4.795100-3 1.471118+4 5.011872-3 1.390742+4 5.150000-3 1.340568+4 5.350000-3 1.278728+4 5.821032-3 1.136835+4 6.237348-3 1.035147+4 7.852356-3 7.316837+3 8.413951-3 6.552441+3 1.035142-2 4.649537+3 1.150000-2 3.871900+3 1.333521-2 2.977256+3 1.556000-2 2.240323+3 1.737801-2 1.819489+3 2.065380-2 1.302723+3 2.483133-2 9.025453+2 2.985383-2 6.188169+2 3.548134-2 4.304725+2 4.216965-2 2.968970+2 4.954502-2 2.083573+2 5.821032-2 1.452043+2 6.918310-2 9.788551+1 8.317638-2 6.375619+1 1.011580-1 4.007421+1 1.273503-1 2.301176+1 1.603245-1 1.312135+1 2.570396-1 4.114610+0 3.198895-1 2.419331+0 3.845918-1 1.558064+0 4.518559-1 1.067985+0 5.188000-1 7.779190-1 6.000000-1 5.615987-1 6.839117-1 4.218617-1 7.852356-1 3.142772-1 8.912509-1 2.414308-1 9.885531-1 1.958307-1 1.202264+0 1.334173-1 1.348963+0 1.071546-1 1.531087+0 8.482924-2 1.717908+0 6.906646-2 1.927525+0 5.661878-2 2.213095+0 4.498872-2 2.570396+0 3.532793-2 2.951209+0 2.845920-2 3.388442+0 2.310178-2 3.935501+0 1.856586-2 4.623810+0 1.478442-2 5.495409+0 1.167734-2 6.531306+0 9.295552-3 7.852356+0 7.343527-3 9.440609+0 5.842855-3 1.174898+1 4.489215-3 1.479108+1 3.430503-3 1.905461+1 2.571487-3 2.511886+1 1.893409-3 3.467369+1 1.335723-3 5.128614+1 8.824045-4 8.317638+1 5.340289-4 1.462177+2 2.997147-4 2.917427+2 1.489255-4 5.821032+2 7.431810-5 4.623810+3 9.317178-6 1.000000+5 4.306700-7 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 4.795100-3 8.626400-4 1.000000+5 8.626400-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.795100-3 5.587500-5 1.000000+5 5.587500-5 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.795100-3 3.876585-3 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 4.482000-3 2.380886+4 4.560000-3 2.327528+4 4.731513-3 2.242301+4 4.920000-3 2.145240+4 5.500000-3 1.866006+4 5.800000-3 1.735058+4 6.237348-3 1.558663+4 7.000000-3 1.306366+4 7.762471-3 1.105035+4 9.225714-3 8.156356+3 9.885531-3 7.176434+3 1.150000-2 5.354000+3 1.244515-2 4.569789+3 1.428894-2 3.427960+3 1.566751-2 2.814593+3 1.819701-2 2.021570+3 2.041738-2 1.554315+3 2.300000-2 1.177142+3 2.660725-2 8.301378+2 3.054921-2 5.910973+2 3.507519-2 4.177594+2 4.073803-2 2.846060+2 4.731513-2 1.924392+2 5.559043-2 1.253119+2 6.606934-2 7.854126+1 8.035261-2 4.588114+1 1.011580-1 2.417378+1 2.000000-1 3.561600+0 2.600160-1 1.724781+0 3.090295-1 1.078094+0 3.589219-1 7.223171-1 4.120975-1 5.027368-1 4.677351-1 3.632611-1 5.308844-1 2.644314-1 6.000000-1 1.960422-1 6.760830-1 1.475439-1 7.585776-1 1.130505-1 8.609938-1 8.503755-2 9.440609-1 6.964148-2 1.023293+0 5.889357-2 1.122018+0 4.897827-2 1.250000+0 3.976233-2 1.396368+0 3.234613-2 1.640590+0 2.417426-2 1.862087+0 1.937121-2 2.089296+0 1.595611-2 2.426610+0 1.249398-2 2.818383+0 9.857738-3 3.198895+0 8.120697-3 3.715352+0 6.507681-3 4.365158+0 5.167955-3 5.128614+0 4.135164-3 6.095369+0 3.281666-3 7.328245+0 2.585268-3 8.912509+0 2.022518-3 1.109175+1 1.550700-3 1.400000+1 1.178800-3 1.819701+1 8.734838-4 2.400000+1 6.419600-4 3.311311+1 4.526281-4 4.841724+1 3.023398-4 7.673615+1 1.871805-4 1.333521+2 1.061725-4 2.660725+2 5.271216-5 5.308844+2 2.629319-5 4.216965+3 3.295502-6 1.000000+5 1.389100-7 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 4.482000-3 7.668900-4 1.000000+5 7.668900-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.482000-3 1.084600-4 1.000000+5 1.084600-4 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.482000-3 3.606650-3 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 3.773700-3 8.266824+4 3.845918-3 7.990103+4 3.981072-3 7.600765+4 4.216965-3 6.920634+4 4.800000-3 5.550240+4 5.500000-3 4.316240+4 6.237348-3 3.401418+4 6.683439-3 2.968066+4 7.943282-3 2.085644+4 8.609938-3 1.755758+4 1.011579-2 1.232737+4 1.109175-2 9.998837+3 1.273503-2 7.251837+3 1.428894-2 5.502714+3 1.603245-2 4.151993+3 1.840772-2 2.934837+3 2.080000-2 2.143536+3 2.344229-2 1.566337+3 2.691535-2 1.081769+3 3.090295-2 7.413248+2 3.589219-2 4.882163+2 4.168694-2 3.189173+2 4.841724-2 2.067748+2 5.688529-2 1.287104+2 7.079458-2 6.707319+1 8.709636-2 3.588142+1 1.083927-1 1.839269+1 1.273503-1 1.118403+1 1.798871-1 3.799452+0 2.089296-1 2.392330+0 2.454709-1 1.464959+0 2.851018-1 9.357524-1 3.273407-1 6.229207-1 3.715352-1 4.319990-1 4.168694-1 3.119360-1 4.677351-1 2.269319-1 5.248075-1 1.663373-1 5.821032-1 1.266232-1 6.456542-1 9.707345-2 7.161434-1 7.495662-2 7.943282-1 5.829521-2 8.709636-1 4.673145-2 9.332543-1 3.983956-2 9.885531-1 3.507734-2 1.059254+0 3.033569-2 1.148154+0 2.580765-2 1.258925+0 2.163509-2 1.396368+0 1.788744-2 1.737801+0 1.210910-2 1.949845+0 9.927322-3 2.264644+0 7.745867-3 2.630268+0 6.089717-3 3.019952+0 4.911458-3 3.507519+0 3.924459-3 4.073803+0 3.159048-3 4.786301+0 2.519666-3 5.688529+0 1.993368-3 6.760830+0 1.589086-3 8.222427+0 1.239141-3 9.885531+0 9.876152-4 1.216186+1 7.704456-4 1.500000+1 6.035100-4 1.905461+1 4.597247-4 2.511886+1 3.384978-4 3.467369+1 2.388044-4 5.128614+1 1.577519-4 8.317638+1 9.547327-5 1.462177+2 5.358186-5 2.917427+2 2.662428-5 5.821032+2 1.328606-5 4.623810+3 1.665744-6 1.000000+5 7.699500-8 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 3.773700-3 6.801600-4 1.000000+5 6.801600-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.773700-3 3.436100-5 1.000000+5 3.436100-5 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.773700-3 3.059179-3 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 3.258700-3 2.312828+5 3.275000-3 2.274087+5 3.378000-3 2.008608+5 3.427678-3 1.924226+5 3.801894-3 1.474803+5 4.073803-3 1.226222+5 4.623810-3 8.657869+4 5.248075-3 6.065079+4 5.754399-3 4.651389+4 6.309573-3 3.548694+4 6.918310-3 2.691511+4 8.317638-3 1.529519+4 9.549926-3 9.889946+3 1.059254-2 7.102564+3 1.258925-2 4.040159+3 1.412538-2 2.753456+3 1.603245-2 1.795986+3 1.862087-2 1.074659+3 2.162719-2 6.377417+2 2.511886-2 3.756151+2 2.951209-2 2.107599+2 3.507519-2 1.125811+2 4.216965-2 5.721263+1 5.188000-2 2.649932+1 6.760830-2 9.824769+0 1.135011-1 1.400155+0 1.412538-1 6.190529-1 1.737801-1 2.878494-1 1.972423-1 1.817029-1 2.290868-1 1.060098-1 2.600160-1 6.763961-2 2.951209-1 4.346990-2 3.311311-1 2.925992-2 3.672823-1 2.063222-2 4.027170-1 1.522557-2 4.466836-1 1.092168-2 5.011872-1 7.613224-3 5.559043-1 5.532282-3 6.165950-1 4.049732-3 6.760830-1 3.090548-3 7.328245-1 2.454974-3 8.511380-1 1.621762-3 9.015711-1 1.391896-3 9.440609-1 1.238833-3 9.885531-1 1.109419-3 1.035142+0 1.000351-3 1.096478+0 8.853166-4 1.161449+0 7.887640-4 1.250000+0 6.860676-4 1.364583+0 5.856807-4 1.531087+0 4.791354-4 1.798871+0 3.601159-4 2.000000+0 3.002994-4 2.317395+0 2.355484-4 2.691535+0 1.854038-4 3.090295+0 1.497270-4 3.589219+0 1.197810-4 4.216965+0 9.495993-5 4.954502+0 7.586158-5 5.888437+0 6.011113-5 7.079458+0 4.728505-5 8.609938+0 3.693964-5 1.059254+1 2.868096-5 1.303167+1 2.242989-5 1.640590+1 1.719356-5 2.113489+1 1.292880-5 2.851018+1 9.309954-6 3.935501+1 6.587629-6 5.688529+1 4.469347-6 9.549926+1 2.614690-6 1.717908+2 1.436233-6 3.427678+2 7.144605-7 1.364583+3 1.784552-7 1.000000+5 2.430900-9 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 3.258700-3 4.996800-4 1.000000+5 4.996800-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.258700-3 1.223500-4 1.000000+5 1.223500-4 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.258700-3 2.636670-3 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 3.111300-3 3.487956+5 3.213000-3 3.196560+5 3.235937-3 3.121849+5 3.290000-3 2.975352+5 3.600000-3 2.351394+5 3.845918-3 1.965234+5 4.300000-3 1.440966+5 4.731513-3 1.098701+5 5.188000-3 8.421009+4 5.754399-3 6.200701+4 6.456542-3 4.378523+4 7.585776-3 2.652508+4 8.317638-3 1.983518+4 9.885531-3 1.134999+4 1.122018-2 7.467163+3 1.258925-2 5.075217+3 1.462177-2 3.043682+3 1.678804-2 1.882001+3 1.900000-2 1.215474+3 2.162719-2 7.645411+2 2.511886-2 4.439622+2 2.917427-2 2.558394+2 3.400000-2 1.445694+2 4.027170-2 7.631979+1 4.841724-2 3.779777+1 5.500000-2 2.312335+1 8.511380-2 4.241075+0 1.000000-1 2.280230+0 1.161449-1 1.296593+0 1.258925-1 9.525489-1 1.513561-1 4.628063-1 1.678804-1 3.118045-1 1.883649-1 2.026680-1 2.213095-1 1.119274-1 2.483133-1 7.375716-2 2.754229-1 5.100487-2 3.054921-1 3.550797-2 3.349654-1 2.588600-2 3.672823-1 1.899917-2 4.000000-1 1.436017-2 4.365158-1 1.087262-2 4.786301-1 8.166713-3 5.308844-1 5.964049-3 5.821032-1 4.542697-3 6.309573-1 3.604180-3 6.918310-1 2.788365-3 7.585776-1 2.174208-3 8.709636-1 1.508326-3 9.225714-1 1.304008-3 9.660509-1 1.167096-3 1.011579+0 1.050749-3 1.071519+0 9.283725-4 1.135011+0 8.255173-4 1.216186+0 7.221110-4 1.318257+0 6.223891-4 1.819701+0 3.521620-4 2.018366+0 2.950959-4 2.344229+0 2.306686-4 2.722701+0 1.816710-4 3.090295+0 1.493921-4 3.589219+0 1.195119-4 4.216965+0 9.474738-5 4.954502+0 7.569344-5 5.888437+0 5.997688-5 7.079458+0 4.718053-5 8.511380+0 3.738911-5 1.047129+1 2.901687-5 1.288250+1 2.268376-5 1.621810+1 1.738277-5 2.089296+1 1.306632-5 2.800000+1 9.473200-6 3.845918+1 6.735813-6 5.559043+1 4.567885-6 9.225714+1 2.703203-6 1.640590+2 1.501640-6 3.273407+2 7.467470-7 1.303167+3 1.864726-7 8.222427+4 2.949587-9 1.000000+5 2.425500-9 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 3.111300-3 5.021900-4 1.000000+5 5.021900-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.111300-3 2.027500-7 1.000000+5 2.027500-7 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.111300-3 2.608907-3 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.189700-3 3.309678+4 1.290000-3 3.057664+4 1.412538-3 2.811996+4 1.480000-3 2.681780+4 1.757924-3 2.211908+4 2.070000-3 1.818162+4 2.238721-3 1.641946+4 2.720000-3 1.259022+4 3.019952-3 1.082593+4 3.548134-3 8.514216+3 4.168694-3 6.622645+3 4.677351-3 5.506202+3 5.559043-3 4.138138+3 6.683439-3 3.020179+3 8.035261-3 2.182368+3 9.660509-3 1.562430+3 1.150000-2 1.129542+3 1.364583-2 8.154814+2 1.621810-2 5.828201+2 1.949845-2 4.041355+2 2.317395-2 2.845949+2 2.754229-2 1.989673+2 3.273407-2 1.380899+2 3.890451-2 9.513608+1 4.623810-2 6.506809+1 5.495409-2 4.418041+1 6.606934-2 2.900697+1 8.000000-2 1.859200+1 9.772372-2 1.156685+1 1.230269-1 6.645015+0 1.566751-1 3.686678+0 2.540973-1 1.124000+0 3.162278-1 6.608052-1 3.801894-1 4.254128-1 4.466836-1 2.914640-1 5.128614-1 2.121809-1 5.888437-1 1.555607-1 6.760830-1 1.149117-1 7.762471-1 8.554528-2 8.912509-1 6.413682-2 9.885531-1 5.201709-2 1.188502+0 3.623422-2 1.318257+0 2.971954-2 1.500000+0 2.338900-2 1.698244+0 1.872049-2 1.905461+0 1.533581-2 2.187762+0 1.217836-2 2.540973+0 9.557716-3 2.951209+0 7.559441-3 3.388442+0 6.136262-3 3.935501+0 4.931352-3 4.623810+0 3.926935-3 5.495409+0 3.101741-3 6.531306+0 2.469057-3 7.852356+0 1.950578-3 9.440609+0 1.552017-3 1.174898+1 1.192384-3 1.462177+1 9.233501-4 1.883649+1 6.919170-4 2.483133+1 5.093007-4 3.427678+1 3.592023-4 5.069907+1 2.372295-4 8.222427+1 1.435399-4 1.445440+2 8.054721-5 2.884032+2 4.001870-5 5.754399+2 1.996998-5 4.570882+3 2.503558-6 1.000000+5 1.143900-7 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.189700-3 4.861400-4 1.000000+5 4.861400-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.189700-3 4.299600-7 1.000000+5 4.299600-7 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.189700-3 7.031300-4 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.048600-3 2.899912+4 1.155000-3 2.859203+4 1.273503-3 2.797956+4 1.364583-3 2.727894+4 1.462177-3 2.640554+4 1.584893-3 2.524124+4 1.698244-3 2.412283+4 1.883649-3 2.227224+4 2.018366-3 2.094816+4 2.264644-3 1.870952+4 2.454709-3 1.718529+4 2.660725-3 1.565848+4 3.000000-3 1.350956+4 3.273407-3 1.205130+4 3.672823-3 1.026795+4 4.027170-3 8.982496+3 4.518559-3 7.530101+3 5.011872-3 6.384786+3 5.688529-3 5.170704+3 6.309573-3 4.321455+3 7.079458-3 3.517072+3 8.035261-3 2.780507+3 9.015711-3 2.229784+3 1.011579-2 1.776779+3 1.150000-2 1.369214+3 1.318257-2 1.028778+3 1.513561-2 7.638211+2 1.737801-2 5.623692+2 1.972423-2 4.217004+2 2.238721-2 3.141019+2 2.540973-2 2.324524+2 2.917427-2 1.661969+2 3.388442-2 1.146399+2 3.935501-2 7.845359+1 4.570882-2 5.328625+1 5.432503-2 3.382726+1 6.839116-2 1.827536+1 8.413951-2 1.041854+1 1.047129-1 5.711649+0 1.273503-1 3.313972+0 1.905461-1 1.062996+0 2.264644-1 6.572905-1 2.691535-1 4.091956-1 3.198895-1 2.566823-1 3.715352-1 1.726029-1 4.265795-1 1.205411-1 4.841724-1 8.734844-2 5.495409-1 6.376434-2 6.165950-1 4.823402-2 6.918310-1 3.674872-2 7.762471-1 2.821481-2 8.709636-1 2.181373-2 9.440609-1 1.832955-2 1.023293+0 1.550383-2 1.122018+0 1.289481-2 1.250000+0 1.046850-2 1.396368+0 8.515788-3 1.640590+0 6.364375-3 1.862087+0 5.100035-3 2.089296+0 4.200867-3 2.426610+0 3.289462-3 2.818383+0 2.595603-3 3.198895+0 2.138325-3 3.715352+0 1.713588-3 4.365158+0 1.360773-3 5.128614+0 1.088806-3 6.095369+0 8.641099-4 7.328245+0 6.807343-4 8.912509+0 5.325462-4 1.109175+1 4.083285-4 1.400000+1 3.103900-4 1.840772+1 2.270338-4 2.426610+1 1.670064-4 3.349654+1 1.177248-4 4.897788+1 7.865134-5 7.852356+1 4.812975-5 1.364583+2 2.730805-5 2.722701+2 1.356060-5 5.432503+2 6.765109-6 4.315191+3 8.479622-7 1.000000+5 3.657600-8 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.048600-3 4.525200-4 1.000000+5 4.525200-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.048600-3 3.431300-7 1.000000+5 3.431300-7 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.048600-3 5.957369-4 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 8.673100-4 1.772735+5 8.850000-4 1.724478+5 1.071519-3 1.437787+5 1.174898-3 1.301141+5 1.303167-3 1.157648+5 1.412538-3 1.050305+5 1.584893-3 9.053537+4 1.778279-3 7.720906+4 2.000000-3 6.528720+4 2.187762-3 5.701695+4 2.540973-3 4.508344+4 2.818383-3 3.802176+4 3.198895-3 3.067562+4 3.589219-3 2.503897+4 4.027170-3 2.031948+4 4.623810-3 1.567318+4 5.188000-3 1.253596+4 5.888437-3 9.737944+3 6.800000-3 7.241360+3 7.852356-3 5.333718+3 9.015711-3 3.941934+3 1.035142-2 2.888563+3 1.188502-2 2.098804+3 1.364583-2 1.512622+3 1.566751-2 1.081106+3 1.778279-2 7.889999+2 2.018366-2 5.719513+2 2.300000-2 4.076200+2 2.660725-2 2.771019+2 3.054921-2 1.906449+2 3.507519-2 1.302424+2 4.073803-2 8.553495+1 4.731513-2 5.574339+1 5.559043-2 3.488133+1 6.918310-2 1.829388+1 8.413951-2 1.018966+1 1.035142-1 5.441827+0 1.258925-1 2.989772+0 1.840772-1 9.178278-1 2.113489-1 6.004581-1 2.483133-1 3.686679-1 2.884032-1 2.359740-1 3.349654-1 1.520802-1 3.801894-1 1.056338-1 4.216965-1 7.890703-2 4.731513-1 5.748043-2 5.308844-1 4.218299-2 5.888437-1 3.214353-2 6.531306-1 2.466624-2 7.244360-1 1.906526-2 8.511380-1 1.291931-2 9.120108-1 1.099574-2 9.660509-1 9.667337-3 1.023293+0 8.552365-3 1.109175+0 7.256829-3 1.216186+0 6.061974-3 1.333521+0 5.102971-3 1.603245+0 3.663460-3 1.819701+0 2.931004-3 2.018366+0 2.457073-3 2.344229+0 1.920764-3 2.722701+0 1.512826-3 3.126079+0 1.222547-3 3.630781+0 9.785877-4 4.265795+0 7.762515-4 5.011872+0 6.204739-4 5.956621+0 4.918942-4 7.161434+0 3.871367-4 8.709636+0 3.025755-4 1.083927+1 2.317977-4 1.348963+1 1.789846-4 1.778279+1 1.303568-4 2.344229+1 9.579248-5 3.235937+1 6.746383-5 4.731513+1 4.504096-5 7.328245+1 2.854512-5 1.258925+2 1.637209-5 2.511886+2 8.123763-6 5.011872+2 4.050935-6 1.995262+3 1.013503-6 1.000000+5 2.019800-8 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 8.673100-4 3.955400-4 1.000000+5 3.955400-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 8.673100-4 2.836400-7 1.000000+5 2.836400-7 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 8.673100-4 4.714864-4 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 6.367700-4 2.182936+5 6.760830-4 2.173534+5 8.222426-4 2.216967+5 8.600000-4 2.211212+5 9.000000-4 2.190364+5 9.500000-4 2.149048+5 9.930000-4 2.104272+5 1.050000-3 2.032720+5 1.110000-3 1.949600+5 1.174898-3 1.855032+5 1.250000-3 1.744920+5 1.330000-3 1.628268+5 1.428894-3 1.493399+5 1.513561-3 1.384264+5 1.621810-3 1.253727+5 1.757924-3 1.109309+5 1.883649-3 9.928130+4 2.041738-3 8.648292+4 2.238721-3 7.330386+4 2.400000-3 6.432400+4 2.630268-3 5.370552+4 2.851018-3 4.557553+4 3.090295-3 3.841354+4 3.427678-3 3.060228+4 3.758374-3 2.479895+4 4.150000-3 1.963824+4 4.570882-3 1.552060+4 5.011872-3 1.232726+4 5.623413-3 9.160640+3 6.237348-3 6.957314+3 6.918310-3 5.247723+3 7.762471-3 3.804740+3 8.709636-3 2.735632+3 9.800000-3 1.935080+3 1.096478-2 1.381262+3 1.230269-2 9.705635+2 1.396368-2 6.530071+2 1.584893-2 4.356811+2 1.778279-2 2.995154+2 2.000000-2 2.030196+2 2.290868-2 1.285130+2 2.630268-2 8.007753+1 3.019952-2 4.953352+1 3.507519-2 2.921135+1 4.120975-2 1.641319+1 4.897788-2 8.782582+0 5.688529-2 5.078501+0 9.225714-2 8.489313-1 1.011580-1 6.057965-1 1.161449-1 3.676233-1 1.258925-1 2.734241-1 1.513561-1 1.364746-1 1.698244-1 8.936604-2 1.927525-1 5.652922-2 2.290868-1 3.047984-2 2.630268-1 1.873261-2 2.985383-1 1.207736-2 3.349654-1 8.150486-3 3.715352-1 5.761377-3 4.027170-1 4.423372-3 4.466836-1 3.178135-3 5.000000-1 2.235801-3 5.559043-1 1.615745-3 6.165950-1 1.184378-3 6.760830-1 9.042185-4 7.413102-1 6.954153-4 8.511380-1 4.744697-4 9.015711-1 4.072211-4 9.440609-1 3.624376-4 9.885531-1 3.245713-4 1.035142+0 2.926575-4 1.096478+0 2.590045-4 1.161449+0 2.307623-4 1.250000+0 2.007238-4 1.364583+0 1.713499-4 1.531087+0 1.401747-4 1.798871+0 1.053579-4 2.000000+0 8.785744-5 2.317395+0 6.891214-5 2.691535+0 5.424257-5 3.090295+0 4.380521-5 3.589219+0 3.504303-5 4.168694+0 2.823883-5 4.897788+0 2.254838-5 5.821032+0 1.785703-5 6.918310+0 1.424940-5 8.413951+0 1.112124-5 1.023293+1 8.748499-6 1.258925+1 6.833375-6 1.548817+1 5.373097-6 1.972423+1 4.085292-6 2.630268+1 2.973316-6 3.630781+1 2.099932-6 5.308844+1 1.405435-6 8.810489+1 8.310935-7 1.548817+2 4.668062-7 3.090295+2 2.320527-7 1.230269+3 5.792566-8 3.890451+4 1.827867-9 1.000000+5 7.11200-10 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 6.367700-4 3.096900-4 1.000000+5 3.096900-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 6.367700-4 1.714900-7 1.000000+5 1.714900-7 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 6.367700-4 3.269085-4 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 6.030600-4 3.785433+5 6.780000-4 3.744994+5 7.852356-4 3.716178+5 8.222426-4 3.684893+5 8.609938-4 3.630917+5 9.120108-4 3.536580+5 9.660509-4 3.414862+5 1.023293-3 3.270718+5 1.090000-3 3.093756+5 1.161449-3 2.901770+5 1.216186-3 2.755826+5 1.318257-3 2.498843+5 1.400000-3 2.308578+5 1.496236-3 2.098275+5 1.640590-3 1.820852+5 1.770000-3 1.609080+5 1.905461-3 1.415767+5 2.089296-3 1.197555+5 2.264644-3 1.027018+5 2.483133-3 8.546478+4 2.710800-3 7.124500+4 2.985383-3 5.783900+4 3.273407-3 4.705801+4 3.589219-3 3.800977+4 3.935501-3 3.049166+4 4.365158-3 2.361006+4 4.841724-3 1.812964+4 5.308844-3 1.424452+4 5.888437-3 1.078236+4 6.606934-3 7.843639+3 7.300000-3 5.911104+3 8.035261-3 4.476961+3 9.015711-3 3.183082+3 1.011579-2 2.244915+3 1.135011-2 1.570916+3 1.273503-2 1.090992+3 1.412538-2 7.810023+2 1.580000-2 5.405670+2 1.757924-2 3.785469+2 1.972423-2 2.561439+2 2.238721-2 1.654275+2 2.540973-2 1.060692+2 2.917427-2 6.481696+1 3.349654-2 3.931654+1 3.890451-2 2.270399+1 4.570882-2 1.247078+1 5.495409-2 6.237035+0 6.839116-2 2.715958+0 1.011580-1 6.068595-1 1.303167-1 2.307298-1 1.531088-1 1.253984-1 2.000000-1 4.628958-2 2.344229-1 2.630735-2 2.540973-1 1.962175-2 2.660725-1 1.652465-2 2.951209-1 1.148892-2 3.273407-1 8.049358-3 3.589219-1 5.907796-3 3.935501-1 4.366731-3 4.265795-1 3.375631-3 4.677351-1 2.532628-3 5.248075-1 1.783618-3 5.754399-1 1.356808-3 6.165950-1 1.111280-3 6.683439-1 8.864014-4 7.244360-1 7.116923-4 7.852356-1 5.751124-4 8.609938-1 4.519468-4 9.120108-1 3.910662-4 9.660509-1 3.407891-4 1.011579+0 3.071379-4 1.071519+0 2.715770-4 1.148154+0 2.361301-4 1.230269+0 2.067683-4 1.333521+0 1.783137-4 1.819701+0 1.029073-4 2.018366+0 8.623894-5 2.344229+0 6.741422-5 2.722701+0 5.309436-5 3.090295+0 4.366001-5 3.589219+0 3.492717-5 4.216965+0 2.768960-5 4.954502+0 2.212114-5 5.888437+0 1.752789-5 7.000000+0 1.398900-5 8.511380+0 1.092672-5 1.047129+1 8.480153-6 1.288250+1 6.629380-6 1.603245+1 5.147251-6 2.041738+1 3.917747-6 2.722701+1 2.854036-6 3.758374+1 2.017318-6 5.432503+1 1.367390-6 9.015711+1 8.089287-7 1.603245+2 4.492102-7 3.198895+2 2.233581-7 1.273503+3 5.576872-8 8.035261+4 8.82072-10 1.000000+5 7.08840-10 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 6.030600-4 3.002100-4 1.000000+5 3.002100-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 6.030600-4 7.632100-8 1.000000+5 7.632100-8 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 6.030600-4 3.027737-4 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 2.997000-4 1.005174+5 2.998000-4 9.961800+4 3.001500-4 9.777720+4 3.007000-4 9.555420+4 3.015000-4 9.318960+4 3.022000-4 9.171060+4 3.032000-4 9.027900+4 3.045000-4 8.915220+4 3.057000-4 8.858700+4 3.080000-4 8.821440+4 3.107000-4 8.843280+4 3.130000-4 8.927400+4 3.145000-4 9.030060+4 3.162278-4 9.207894+4 3.172000-4 9.341700+4 3.185000-4 9.561420+4 3.200000-4 9.879960+4 3.215000-4 1.027488+5 3.230000-4 1.075194+5 3.245000-4 1.131810+5 3.260000-4 1.197912+5 3.275000-4 1.274196+5 3.290000-4 1.361094+5 3.311311-4 1.503449+5 3.340200-4 1.732480+5 3.400000-4 2.332074+5 3.430000-4 2.689020+5 3.460000-4 3.077934+5 3.485000-4 3.424416+5 3.515000-4 3.865296+5 3.550000-4 4.412730+5 3.580000-4 4.909764+5 3.615000-4 5.518368+5 3.650000-4 6.152340+5 3.680000-4 6.711120+5 3.715352-4 7.378530+5 3.750000-4 8.034840+5 3.780000-4 8.598540+5 3.820000-4 9.336960+5 3.850000-4 9.877920+5 3.890451-4 1.058697+6 3.935501-4 1.134617+6 3.985000-4 1.214028+6 4.030000-4 1.282410+6 4.090200-4 1.367285+6 4.150000-4 1.443390+6 4.200000-4 1.500318+6 4.265795-4 1.566037+6 4.320000-4 1.612764+6 4.390000-4 1.664244+6 4.470000-4 1.712640+6 4.550000-4 1.751184+6 4.650000-4 1.786830+6 4.740000-4 1.807326+6 4.850000-4 1.821048+6 4.970000-4 1.824276+6 5.080000-4 1.818996+6 5.248075-4 1.797817+6 5.432503-4 1.761617+6 5.623413-4 1.714658+6 5.821032-4 1.658638+6 6.025596-4 1.596441+6 6.280000-4 1.516398+6 6.600000-4 1.413744+6 6.918310-4 1.314844+6 7.244360-4 1.217108+6 7.673615-4 1.095688+6 8.222426-4 9.578890+5 8.709636-4 8.506749+5 9.225714-4 7.500943+5 9.885531-4 6.404225+5 1.059254-3 5.435441+5 1.135011-3 4.578804+5 1.244515-3 3.609605+5 1.333521-3 3.002399+5 1.462177-3 2.328000+5 1.584893-3 1.852599+5 1.737801-3 1.415319+5 1.905461-3 1.074289+5 2.113489-3 7.807877+4 2.317395-3 5.839937+4 2.570396-3 4.179670+4 2.851018-3 2.967185+4 3.126079-3 2.174898+4 3.507519-3 1.462887+4 3.935501-3 9.753094+3 4.415704-3 6.447894+3 4.897788-3 4.411912+3 5.432503-3 2.999547+3 6.025596-3 2.026434+3 6.683439-3 1.360652+3 7.413102-3 9.080772+2 8.222426-3 6.025366+2 9.120108-3 3.975496+2 1.035142-2 2.374677+2 1.174898-2 1.407691+2 1.333521-2 8.284084+1 1.513561-2 4.841013+1 1.737801-2 2.673375+1 2.000000-2 1.450272+1 2.317395-2 7.576772+0 2.722701-2 3.694852+0 3.311311-2 1.531948+0 4.168694-2 5.390898-1 5.821032-2 1.173912-1 8.000000-2 2.724700-2 9.225714-2 1.425978-2 1.047129-1 8.081351-3 1.202264-1 4.409982-3 1.273503-1 3.412704-3 1.513561-1 1.555366-3 1.659587-1 1.034951-3 1.840772-1 6.595807-4 2.137962-1 3.477772-4 2.398833-1 2.140375-4 2.691535-1 1.326934-4 3.198895-1 6.550676-5 3.467369-1 4.743279-5 3.722400-1 3.595456-5 4.000000-1 2.738138-5 4.315191-1 2.070220-5 4.677351-1 1.549248-5 5.128614-1 1.120460-5 6.025596-1 6.429410-6 6.456542-1 5.038593-6 6.839117-1 4.134484-6 7.244360-1 3.414784-6 7.585776-1 2.947696-6 8.000000-1 2.504897-6 8.413951-1 2.160400-6 8.810489-1 1.899329-6 9.225714-1 1.680802-6 9.660509-1 1.498059-6 1.000000+0 1.381077-6 1.059254+0 1.216543-6 1.122018+0 1.079582-6 1.188502+0 9.640669-7 1.273503+0 8.472322-7 1.396368+0 7.189141-7 1.531087+0 6.124481-7 1.798871+0 4.603239-7 2.000000+0 3.838600-7 2.317395+0 3.010903-7 2.691535+0 2.369896-7 3.090295+0 1.913827-7 3.589219+0 1.531022-7 4.216965+0 1.213772-7 4.954502+0 9.696900-8 5.888437+0 7.683531-8 7.079458+0 6.044195-8 8.511380+0 4.789761-8 1.047129+1 3.717318-8 1.288250+1 2.906021-8 1.603245+1 2.256363-8 2.041738+1 1.717368-8 2.691535+1 1.266842-8 3.672823+1 9.062579-9 5.370318+1 6.066855-9 8.912509+1 3.588261-9 1.584893+2 1.992299-9 3.162278+2 9.90537-10 1.258925+3 2.47300-10 3.981072+4 7.80423-12 1.000000+5 3.10730-12 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 2.997000-4 1.848800-4 1.000000+5 1.848800-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 2.997000-4 2.507800-9 1.000000+5 2.507800-9 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 2.997000-4 1.148175-4 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 2.911900-4 1.483720+5 2.912300-4 1.469424+5 2.914000-4 1.443632+5 2.917427-4 1.405044+5 2.922000-4 1.365344+5 2.928000-4 1.325672+5 2.933000-4 1.300152+5 2.940000-4 1.272496+5 2.947000-4 1.251968+5 2.955000-4 1.235152+5 2.965000-4 1.220592+5 2.980000-4 1.207688+5 3.000000-4 1.200960+5 3.022000-4 1.202808+5 3.040000-4 1.211320+5 3.057000-4 1.226496+5 3.073000-4 1.248616+5 3.090000-4 1.281984+5 3.100000-4 1.307000+5 3.115000-4 1.352696+5 3.130000-4 1.409080+5 3.145000-4 1.477040+5 3.162278-4 1.570866+5 3.180000-4 1.685744+5 3.200000-4 1.839664+5 3.220000-4 2.020688+5 3.240000-4 2.229568+5 3.320000-4 3.332432+5 3.350000-4 3.842352+5 3.380000-4 4.395656+5 3.412100-4 5.031376+5 3.440000-4 5.618664+5 3.470000-4 6.284480+5 3.507519-4 7.164663+5 3.540000-4 7.963992+5 3.565000-4 8.598000+5 3.600000-4 9.505680+5 3.630781-4 1.031363+6 3.665000-4 1.121192+6 3.700000-4 1.212136+6 3.740000-4 1.313904+6 3.780000-4 1.412568+6 3.820000-4 1.507816+6 3.850000-4 1.576824+6 3.890451-4 1.666361+6 3.935501-4 1.761101+6 3.985000-4 1.858496+6 4.030000-4 1.940408+6 4.080000-4 2.023496+6 4.130000-4 2.097896+6 4.180000-4 2.163936+6 4.240000-4 2.232792+6 4.320000-4 2.308944+6 4.390000-4 2.363072+6 4.478400-4 2.416756+6 4.570882-4 2.456460+6 4.677351-4 2.483791+6 4.786301-4 2.495836+6 4.897788-4 2.494118+6 5.011872-4 2.481338+6 5.150000-4 2.452880+6 5.308844-4 2.407431+6 5.500000-4 2.340720+6 5.720000-4 2.251784+6 5.956621-4 2.148977+6 6.200000-4 2.040760+6 6.531306-4 1.892037+6 6.850000-4 1.755296+6 7.161434-4 1.626184+6 7.585776-4 1.461365+6 8.128305-4 1.275064+6 8.609938-4 1.130657+6 9.120108-4 9.956376+5 9.850000-4 8.334400+5 1.056000-3 7.045387+5 1.135011-3 5.875747+5 1.230269-3 4.764562+5 1.333521-3 3.833218+5 1.462177-3 2.966591+5 1.584893-3 2.354009+5 1.737801-3 1.795017+5 1.900000-3 1.370360+5 2.089296-3 1.021404+5 2.300000-3 7.527368+4 2.511886-3 5.657879+4 2.818383-3 3.861380+4 3.150000-3 2.644832+4 3.427678-3 1.973237+4 3.801894-3 1.369129+4 4.300000-3 8.786080+3 4.841724-3 5.678290+3 5.432503-3 3.687023+3 6.095369-3 2.375318+3 6.839116-3 1.518451+3 7.673615-3 9.633536+2 8.609938-3 6.068397+2 9.660509-3 3.797440+2 1.096478-2 2.249358+2 1.244515-2 1.322487+2 1.412538-2 7.718460+1 1.603245-2 4.472354+1 1.840772-2 2.446820+1 2.089296-2 1.398030+1 2.426610-2 7.157484+0 2.851018-2 3.453402+0 3.467369-2 1.413492+0 4.315191-2 5.164564-1 5.821032-2 1.290124-1 7.444800-2 4.115738-2 1.000000-1 1.051712-2 1.059254-1 8.120474-3 1.188502-1 4.881514-3 1.288250-1 3.377762-3 1.611800-1 1.195969-3 1.757924-1 8.146012-4 1.927525-1 5.456081-4 2.137962-1 3.502059-4 2.426610-1 2.051184-4 2.660725-1 1.399145-4 2.917427-1 9.610961-5 3.198895-1 6.651713-5 3.467369-1 4.855707-5 3.672823-1 3.897386-5 3.981072-1 2.892071-5 4.315191-1 2.161551-5 5.069907-1 1.216566-5 5.432503-1 9.565623-6 5.754399-1 7.876046-6 6.025596-1 6.776325-6 6.456542-1 5.468872-6 6.839117-1 4.592771-6 7.673615-1 3.213965-6 8.222427-1 2.609097-6 8.709636-1 2.206949-6 9.120108-1 1.941202-6 9.549926-1 1.717909-6 1.000000+0 1.531186-6 1.047129+0 1.375694-6 1.096478+0 1.245169-6 1.148154+0 1.134117-6 1.216186+0 1.016318-6 1.318257+0 8.786835-7 1.513561+0 6.932406-7 1.840772+0 4.904983-7 2.041738+0 4.111776-7 2.371374+0 3.215759-7 2.754229+0 2.534305-7 3.126079+0 2.085313-7 3.630781+0 1.669148-7 4.265795+0 1.324034-7 5.011872+0 1.058361-7 5.956621+0 8.390374-8 7.161434+0 6.603394-8 8.709636+0 5.161108-8 1.083927+1 3.953804-8 1.348963+1 3.052941-8 1.757924+1 2.252670-8 2.290868+1 1.675921-8 3.162278+1 1.179600-8 4.570882+1 7.967508-9 6.918310+1 5.168135-9 1.188502+2 2.961614-9 2.371374+2 1.468657-9 4.731513+2 7.32100-10 1.883649+3 1.83125-10 1.000000+5 3.44520-12 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 2.911900-4 1.892200-4 1.000000+5 1.892200-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 2.911900-4 9.330000-8 1.000000+5 9.330000-8 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 2.911900-4 1.018767-4 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 2.536300-4 5.661919+4 2.900000-4 5.316517+4 3.630781-4 4.684729+4 3.801894-4 4.535167+4 4.466836-4 3.990339+4 4.786301-4 3.757978+4 5.188000-4 3.477601+4 5.888437-4 3.051479+4 6.456542-4 2.757154+4 7.244360-4 2.406747+4 8.200000-4 2.065040+4 9.440609-4 1.718045+4 1.071519-3 1.446836+4 1.258925-3 1.152762+4 1.513561-3 8.811115+3 1.840772-3 6.560573+3 2.238721-3 4.846115+3 2.722701-3 3.551806+3 3.273407-3 2.632876+3 3.935501-3 1.937911+3 4.731513-3 1.415964+3 5.688529-3 1.026904+3 6.839116-3 7.391606+2 8.222426-3 5.282827+2 9.885531-3 3.748818+2 1.202264-2 2.583538+2 1.445440-2 1.806518+2 1.737801-2 1.254096+2 2.089296-2 8.641931+1 2.511886-2 5.910362+1 3.019952-2 4.011052+1 3.630781-2 2.700552+1 4.315191-2 1.850339+1 5.188000-2 1.226769+1 6.237348-2 8.069543+0 7.498942-2 5.267406+0 9.015711-2 3.413203+0 1.109175-1 2.079151+0 1.513561-1 9.773587-1 2.570396-1 2.661230-1 3.198895-1 1.564985-1 3.845918-1 1.007990-1 4.518559-1 6.909897-2 5.188000-1 5.033287-2 6.000000-1 3.633559-2 6.839117-1 2.729310-2 7.852356-1 2.033058-2 8.912509-1 1.561472-2 9.885531-1 1.266392-2 1.202264+0 8.627113-3 1.348963+0 6.929034-3 1.531087+0 5.485696-3 1.717908+0 4.466247-3 1.927525+0 3.661283-3 2.213095+0 2.909364-3 2.570396+0 2.284637-3 2.951209+0 1.840404-3 3.388442+0 1.493913-3 3.935501+0 1.200569-3 4.623810+0 9.560559-4 5.495409+0 7.551614-4 6.531306+0 6.011312-4 7.852356+0 4.748913-4 9.440609+0 3.778430-4 1.174898+1 2.903078-4 1.462177+1 2.247991-4 1.883649+1 1.684576-4 2.483133+1 1.239899-4 3.427678+1 8.744510-5 5.069907+1 5.775569-5 8.222427+1 3.494692-5 1.445440+2 1.961034-5 2.884032+2 9.742882-6 5.754399+2 4.861856-6 4.570882+3 6.095129-7 1.000000+5 2.785100-8 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 2.536300-4 2.064200-4 1.000000+5 2.064200-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 2.536300-4 2.626900-9 1.000000+5 2.626900-9 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 2.536300-4 4.720737-5 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.003200-4 2.284100+5 2.080000-4 1.991754+5 2.170000-4 1.729792+5 2.317395-4 1.371322+5 2.454709-4 1.129894+5 2.691535-4 8.489737+4 2.818383-4 7.402726+4 2.917427-4 6.715243+4 3.019952-4 6.123799+4 3.150000-4 5.512900+4 3.280000-4 5.018860+4 3.430000-4 4.554420+4 3.600000-4 4.130040+4 3.758374-4 3.810519+4 3.935501-4 3.521613+4 4.120975-4 3.278731+4 4.350000-4 3.039140+4 4.623810-4 2.811856+4 4.954502-4 2.595236+4 5.308844-4 2.412106+4 5.821032-4 2.204906+4 8.413951-4 1.571925+4 9.772372-4 1.360012+4 1.122018-3 1.180568+4 1.258925-3 1.042886+4 1.445440-3 8.916928+3 1.659587-3 7.561955+3 1.900000-3 6.382620+3 2.162719-3 5.387221+3 2.454709-3 4.532334+3 2.800000-3 3.759540+3 3.162278-3 3.141402+3 3.589219-3 2.587302+3 4.073803-3 2.115510+3 4.623810-3 1.716934+3 5.248075-3 1.383283+3 6.009750-3 1.088746+3 6.839116-3 8.598035+2 7.762471-3 6.773681+2 8.810489-3 5.299781+2 1.000000-2 4.117800+2 1.135011-2 3.177258+2 1.288250-2 2.434830+2 1.479108-2 1.807352+2 1.698244-2 1.331060+2 1.949845-2 9.727181+1 2.238721-2 7.053729+1 2.570396-2 5.077131+1 2.951209-2 3.628366+1 3.427678-2 2.501782+1 4.000000-2 1.691182+1 4.677351-2 1.128453+1 5.495409-2 7.383401+0 6.531306-2 4.651211+0 8.413951-2 2.340112+0 1.059254-1 1.243233+0 1.372700-1 6.050730-1 1.949845-1 2.259194-1 2.371374-1 1.313726-1 2.851018-1 7.945419-2 3.349654-1 5.152576-2 3.890451-1 3.472003-2 4.415705-1 2.503480-2 5.011872-1 1.817907-2 5.688529-1 1.330169-2 6.382635-1 1.008474-2 7.161434-1 7.701690-3 8.035261-1 5.927342-3 8.810489-1 4.829608-3 9.549926-1 4.061558-3 1.035142+0 3.438639-3 1.148154+0 2.798534-3 1.273503+0 2.294454-3 1.428894+0 1.853573-3 1.659587+0 1.415560-3 1.862087+0 1.157755-3 2.089296+0 9.536382-4 2.426610+0 7.467157-4 2.818383+0 5.891620-4 3.198895+0 4.853495-4 3.715352+0 3.889476-4 4.365158+0 3.088727-4 5.128614+0 2.471449-4 6.095369+0 1.961404-4 7.328245+0 1.545155-4 8.810489+0 1.226086-4 1.100000+1 9.360800-5 1.380384+1 7.161916-5 1.800000+1 5.285100-5 2.371374+1 3.887842-5 3.273407+1 2.738891-5 4.841724+1 1.806970-5 7.673615+1 1.118700-5 1.333521+2 6.345657-6 2.660725+2 3.150452-6 5.308844+2 1.571469-6 4.216965+3 1.969594-7 1.000000+5 8.302100-9 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.003200-4 1.501000-4 1.000000+5 1.501000-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.003200-4 7.430400-9 1.000000+5 7.430400-9 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.003200-4 5.021257-5 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 1.598300-4 5.365720+5 1.598400-4 5.318840+5 1.599000-4 5.247880+5 1.599900-4 5.179440+5 1.601700-4 5.093680+5 1.604000-4 5.027040+5 1.609000-4 4.924560+5 1.617000-4 4.802520+5 1.627000-4 4.680840+5 1.643000-4 4.525200+5 1.665000-4 4.362080+5 1.690000-4 4.217280+5 1.737801-4 3.997631+5 1.950000-4 3.224420+5 2.089296-4 2.882279+5 2.190000-4 2.683596+5 2.300000-4 2.508740+5 2.426610-4 2.348591+5 2.660725-4 2.117800+5 2.951209-4 1.896758+5 4.000000-4 1.395908+5 4.623810-4 1.197909+5 5.248075-4 1.040823+5 6.000000-4 8.901880+4 6.839116-4 7.580629+4 7.762471-4 6.443622+4 8.912509-4 5.356061+4 1.023293-3 4.418416+4 1.174898-3 3.619332+4 1.350000-3 2.941740+4 1.570000-3 2.331016+4 1.819701-3 1.843507+4 2.089296-3 1.470392+4 2.400000-3 1.164332+4 2.754229-3 9.175096+3 3.162278-3 7.174809+3 3.630781-3 5.570142+3 4.120975-3 4.388278+3 4.677351-3 3.434798+3 5.308844-3 2.671118+3 6.095369-3 2.014942+3 7.000000-3 1.507428+3 8.035261-3 1.119761+3 9.120108-3 8.465459+2 1.047129-2 6.191109+2 1.202264-2 4.492281+2 1.380384-2 3.234050+2 1.584893-2 2.309967+2 1.819701-2 1.637019+2 2.089296-2 1.151186+2 2.398833-2 8.032892+1 2.754229-2 5.562964+1 3.162278-2 3.824206+1 3.672823-2 2.527818+1 4.216965-2 1.712813+1 4.897788-2 1.115412+1 5.754399-2 6.976872+0 7.000000-2 3.913803+0 8.511380-2 2.181430+0 1.047129-1 1.164885+0 1.273503-1 6.397537-1 1.840772-1 2.038584-1 2.113489-1 1.334161-1 2.483133-1 8.193297-2 2.884032-1 5.246288-2 3.311311-1 3.499505-2 3.758374-1 2.431329-2 4.216965-1 1.758439-2 4.731513-1 1.281151-2 5.308844-1 9.403953-3 5.888437-1 7.167584-3 6.531306-1 5.500587-3 7.244360-1 4.251334-3 8.511380-1 2.880677-3 9.120108-1 2.451796-3 9.660509-1 2.155564-3 1.023293+0 1.906873-3 1.109175+0 1.617975-3 1.216186+0 1.351606-3 1.333521+0 1.137774-3 1.603245+0 8.167726-4 1.819701+0 6.534578-4 2.018366+0 5.477839-4 2.344229+0 4.282026-4 2.722701+0 3.372480-4 3.126079+0 2.725291-4 3.630781+0 2.181433-4 4.265795+0 1.730360-4 5.011872+0 1.383107-4 5.956621+0 1.096563-4 7.161434+0 8.629885-5 8.709636+0 6.744928-5 1.083927+1 5.167136-5 1.348963+1 3.989839-5 1.757924+1 2.944030-5 2.290868+1 2.190244-5 3.162278+1 1.541652-5 4.623810+1 1.028701-5 7.079458+1 6.594845-6 1.216186+2 3.780511-6 2.426610+2 1.875267-6 4.841724+2 9.348938-7 1.927525+3 2.338641-7 1.000000+5 4.502500-9 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 1.598300-4 1.489300-4 1.000000+5 1.489300-4 1 88000 7 7 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.598300-4 1.221700-9 1.000000+5 1.221700-9 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.598300-4 1.089878-5 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 8.132000-5 1.462768+7 9.450000-5 6.347444+6 9.900000-5 5.054797+6 1.000000-4 4.789520+6 1.047129-4 3.848058+6 1.161449-4 2.378844+6 1.220000-4 1.880304+6 1.303167-4 1.359557+6 1.760000-4 3.062636+5 1.840772-4 2.465747+5 1.905461-4 2.098131+5 1.972423-4 1.796923+5 2.020000-4 1.622220+5 2.080000-4 1.439656+5 2.137962-4 1.296240+5 2.190000-4 1.190148+5 2.244000-4 1.098871+5 2.300000-4 1.021088+5 2.350000-4 9.637880+4 2.400000-4 9.161480+4 2.454709-4 8.733615+4 2.511886-4 8.374100+4 2.570396-4 8.082959+4 2.635000-4 7.836600+4 2.691535-4 7.673706+4 2.770000-4 7.512680+4 2.851018-4 7.408043+4 2.951209-4 7.341525+4 3.056900-4 7.323366+4 3.200000-4 7.351520+4 3.430000-4 7.458120+4 3.850000-4 7.664960+4 4.120975-4 7.742593+4 4.415704-4 7.766094+4 4.700000-4 7.732720+4 5.011872-4 7.641967+4 5.308844-4 7.513859+4 5.688529-4 7.307780+4 6.095369-4 7.051794+4 6.531306-4 6.752376+4 7.000000-4 6.420280+4 7.500000-4 6.063640+4 8.128305-4 5.628947+4 8.709636-4 5.246175+4 9.500000-4 4.764480+4 1.030000-3 4.322120+4 1.122018-3 3.871587+4 1.230269-3 3.410552+4 1.348963-3 2.980392+4 1.462177-3 2.632846+4 1.610000-3 2.253740+4 1.778279-3 1.904006+4 1.972423-3 1.583611+4 2.200000-3 1.292180+4 2.454709-3 1.043906+4 2.710800-3 8.536572+3 3.000000-3 6.895720+3 3.311311-3 5.560754+3 3.672823-3 4.402440+3 4.073803-3 3.458025+3 4.518559-3 2.695021+3 5.011872-3 2.084631+3 5.559043-3 1.600785+3 6.165950-3 1.220399+3 6.839116-3 9.238722+2 7.585776-3 6.947756+2 8.511380-3 5.022978+2 9.549926-3 3.602661+2 1.071519-2 2.563646+2 1.202264-2 1.810388+2 1.348963-2 1.269222+2 1.513561-2 8.836932+1 1.717908-2 5.889856+1 1.949845-2 3.895500+1 2.213095-2 2.556661+1 2.511886-2 1.665950+1 2.884032-2 1.036245+1 3.311311-2 6.397801+0 3.845918-2 3.766414+0 4.570882-2 2.027143+0 5.188000-2 1.279996+0 6.606934-2 5.259435-1 9.225714-2 1.535554-1 1.011580-1 1.096855-1 1.161449-1 6.665338-2 1.258925-1 4.961204-2 1.513561-1 2.480395-2 1.698244-1 1.625712-2 1.927525-1 1.029300-2 2.290868-1 5.555706-3 2.630268-1 3.416822-3 3.000000-1 2.167400-3 3.349654-1 1.488059-3 3.715352-1 1.052137-3 4.073803-1 7.783847-4 4.518559-1 5.595933-4 5.069907-1 3.909335-4 5.623413-1 2.847608-4 6.237348-1 2.089431-4 6.839117-1 1.597689-4 7.498942-1 1.230848-4 8.609938-1 8.406695-5 9.120108-1 7.223093-5 9.549926-1 6.436155-5 1.000000+0 5.772000-5 1.059254+0 5.084025-5 1.122018+0 4.512005-5 1.188502+0 4.029829-5 1.288250+0 3.468346-5 1.412538+0 2.945397-5 1.531087+0 2.559809-5 1.798871+0 1.924169-5 2.000000+0 1.604400-5 2.317395+0 1.258209-5 2.691535+0 9.904161-6 3.090295+0 7.999144-6 3.589219+0 6.399165-6 4.216965+0 5.073134-6 4.954502+0 4.052909-6 5.888437+0 3.211356-6 7.079458+0 2.526240-6 8.609938+0 1.973535-6 1.059254+1 1.532238-6 1.303167+1 1.198276-6 1.659587+1 9.065765-7 2.137962+1 6.819446-7 2.884032+1 4.912072-7 4.027170+1 3.434406-7 5.754399+1 2.359285-7 9.660509+1 1.380497-7 1.737801+2 7.584043-8 3.467369+2 3.772942-8 1.380384+3 9.424699-9 1.000000+5 1.29870-10 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 8.132000-5 8.132000-5 1.000000+5 8.132000-5 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 8.132000-5 0.0 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 7.552000-5 1.954028+7 7.870000-5 1.637782+7 7.920000-5 1.588405+7 8.270000-5 1.301026+7 8.570000-5 1.129266+7 8.730000-5 1.043994+7 8.912509-5 9.504320+6 9.225714-5 8.049491+6 9.800000-5 5.992470+6 1.109175-4 3.328308+6 1.170000-4 2.564004+6 1.258925-4 1.774088+6 1.450000-4 8.680260+5 1.584893-4 5.562586+5 1.659587-4 4.437105+5 1.720000-4 3.739698+5 1.780000-4 3.192276+5 1.840772-4 2.754190+5 1.883649-4 2.502031+5 1.930000-4 2.273082+5 1.980000-4 2.068686+5 2.020000-4 1.931922+5 2.065380-4 1.801028+5 2.113489-4 1.686075+5 2.162719-4 1.589652+5 2.213095-4 1.509433+5 2.264644-4 1.443345+5 2.317395-4 1.389561+5 2.371374-4 1.346542+5 2.430000-4 1.311012+5 2.500000-4 1.280778+5 2.570396-4 1.260908+5 2.650000-4 1.248132+5 2.754229-4 1.242547+5 2.884032-4 1.246696+5 3.100000-4 1.265664+5 3.507519-4 1.303935+5 3.758374-4 1.317634+5 4.000000-4 1.321368+5 4.280000-4 1.315464+5 4.570882-4 1.299386+5 4.850000-4 1.276440+5 5.188000-4 1.241698+5 5.559043-4 1.197538+5 5.956621-4 1.146402+5 6.382635-4 1.089481+5 6.918310-4 1.018182+5 7.413102-4 9.541430+4 8.035261-4 8.780518+4 8.609938-4 8.126686+4 9.440609-4 7.271848+4 1.030000-3 6.490920+4 1.110000-3 5.855220+4 1.230000-3 5.038692+4 1.364583-3 4.287127+4 1.500000-3 3.670662+4 1.621810-3 3.211526+4 1.778279-3 2.726584+4 1.950000-3 2.299152+4 2.162719-3 1.883330+4 2.398833-3 1.529852+4 2.630268-3 1.263223+4 2.917427-3 1.010624+4 3.235937-3 8.020357+3 3.589219-3 6.314460+3 3.981072-3 4.932449+3 4.415704-3 3.822937+3 4.897788-3 2.940518+3 5.432503-3 2.244916+3 6.025596-3 1.701440+3 6.683439-3 1.280467+3 7.413102-3 9.569361+2 8.222426-3 7.103126+2 9.120108-3 5.237983+2 1.011579-2 3.837586+2 1.135011-2 2.695269+2 1.273503-2 1.878539+2 1.428894-2 1.299726+2 1.621810-2 8.598070+1 1.819701-2 5.864434+1 2.065380-2 3.820331+1 2.344229-2 2.469189+1 2.660725-2 1.584141+1 3.019952-2 1.009176+1 3.467369-2 6.118859+0 4.027170-2 3.530801+0 4.731513-2 1.938238+0 5.370318-2 1.203002+0 9.440609-2 1.407324-1 1.011580-1 1.085135-1 1.161449-1 6.490499-2 1.258925-1 4.787424-2 1.513561-1 2.345805-2 1.678804-1 1.587072-2 1.883649-1 1.035932-2 2.213095-1 5.751041-3 2.483133-1 3.802152-3 2.786121-1 2.532020-3 3.126079-1 1.699456-3 3.427678-1 1.243081-3 3.758374-1 9.154458-4 4.073803-1 7.049923-4 4.466836-1 5.274464-4 4.897788-1 3.974050-4 5.432503-1 2.910702-4 5.956621-1 2.223107-4 6.456542-1 1.767798-4 6.998420-1 1.414479-4 7.585776-1 1.138931-4 8.609938-1 8.169685-5 9.120108-1 7.068791-5 9.660509-1 6.160018-5 1.011579+0 5.551942-5 1.071519+0 4.909363-5 1.148154+0 4.268712-5 1.230269+0 3.737938-5 1.333521+0 3.223459-5 1.819701+0 1.860310-5 2.018366+0 1.558876-5 2.344229+0 1.218463-5 2.722701+0 9.596800-6 3.126079+0 7.755558-6 3.630781+0 6.207974-6 4.265795+0 4.924368-6 5.011872+0 3.936111-6 5.956621+0 3.120479-6 7.161434+0 2.455850-6 8.709636+0 1.919515-6 1.083927+1 1.470431-6 1.348963+1 1.135474-6 1.757924+1 8.378029-7 2.290868+1 6.232990-7 3.162278+1 4.387092-7 4.570882+1 2.963167-7 6.918310+1 1.922100-7 1.188502+2 1.101438-7 2.371374+2 5.462259-8 4.731513+2 2.722760-8 1.883649+3 6.810564-9 1.000000+5 1.28130-10 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 7.552000-5 7.552000-5 1.000000+5 7.552000-5 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 7.552000-5 0.0 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 3.954000-5 3.554620+5 3.981072-5 3.483681+5 4.120975-5 3.074927+5 4.570882-5 2.084118+5 4.738400-5 1.830070+5 4.900000-5 1.630572+5 5.080000-5 1.450682+5 5.248075-5 1.314841+5 5.400000-5 1.213320+5 5.580000-5 1.113842+5 5.754399-5 1.034587+5 5.956621-5 9.591037+4 6.165950-5 8.952851+4 6.400000-5 8.369560+4 6.683439-5 7.798797+4 7.000000-5 7.287800+4 7.328245-5 6.859194+4 7.762471-5 6.405312+4 8.222426-5 6.024777+4 8.810489-5 5.641322+4 9.549926-5 5.266933+4 1.220000-4 4.350940+4 1.364583-4 3.959142+4 1.580000-4 3.470260+4 1.800000-4 3.064140+4 2.018366-4 2.726604+4 2.344229-4 2.321229+4 2.691535-4 1.987332+4 3.126079-4 1.666078+4 3.630781-4 1.387611+4 4.315191-4 1.114080+4 5.011872-4 9.148335+3 5.956621-4 7.233756+3 7.161434-4 5.581563+3 8.609938-4 4.270811+3 1.047129-3 3.186868+3 1.288250-3 2.319202+3 1.640590-3 1.587498+3 2.113489-3 1.058527+3 2.660725-3 7.271587+2 3.349654-3 4.957063+2 4.120975-3 3.485268+2 5.011872-3 2.480788+2 6.095369-3 1.752737+2 7.161434-3 1.308825+2 8.709636-3 9.096165+1 1.000000-2 7.004430+1 1.412538-2 3.512535+1 1.640590-2 2.621258+1 1.840772-2 2.106270+1 2.041738-2 1.737945+1 2.213095-2 1.484213+1 2.426610-2 1.229120+1 2.691535-2 9.859935+0 3.054921-2 7.482031+0 3.672823-2 5.033319+0 4.415704-2 3.359680+0 5.248075-2 2.283393+0 6.309573-2 1.500780+0 7.673615-2 9.532541-1 9.225714-2 6.168476-1 1.148154-1 3.649431-1 1.500000-1 1.905881-1 2.540973-1 5.220526-2 3.162278-1 3.069071-2 3.801894-1 1.975755-2 4.466836-1 1.353651-2 5.128614-1 9.854519-3 5.888437-1 7.225073-3 6.760830-1 5.337111-3 7.762471-1 3.973148-3 8.912509-1 2.978812-3 9.885531-1 2.416052-3 1.202264+0 1.645932-3 1.348963+0 1.321969-3 1.531087+0 1.046600-3 1.717908+0 8.520958-4 1.927525+0 6.985136-4 2.213095+0 5.550557-4 2.570396+0 4.358689-4 2.951209+0 3.511184-4 3.388442+0 2.850149-4 3.935501+0 2.290489-4 4.623810+0 1.823947-4 5.432503+0 1.463200-4 6.456542+0 1.164162-4 7.762471+0 9.192452-5 9.332543+0 7.310790-5 1.161449+1 5.614701-5 1.462177+1 4.288773-5 1.883649+1 3.213777-5 2.483133+1 2.365587-5 3.427678+1 1.668524-5 5.069907+1 1.101837-5 8.222427+1 6.667216-6 1.428894+2 3.785368-6 2.851018+2 1.880517-6 5.688529+2 9.383430-7 4.518559+3 1.176265-7 1.000000+5 5.313400-9 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 3.954000-5 3.954000-5 1.000000+5 3.954000-5 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 3.954000-5 0.0 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 2.488000-5 1.204072+7 2.540973-5 1.105571+7 2.610000-5 9.981300+6 2.700000-5 8.839120+6 2.818383-5 7.651026+6 2.951209-5 6.608041+6 3.162278-5 5.352365+6 3.801894-5 3.084993+6 4.315191-5 2.094930+6 5.308844-5 1.106000+6 6.165950-5 7.030184+5 7.852356-5 3.420250+5 9.800000-5 1.775574+5 1.122018-4 1.196653+5 1.260000-4 8.588040+4 1.396368-4 6.445954+4 1.540000-4 4.941600+4 1.678804-4 3.937044+4 1.819701-4 3.206199+4 1.950000-4 2.705620+4 2.089296-4 2.299961+4 2.238721-4 1.968725+4 2.400000-4 1.695774+4 2.580000-4 1.463212+4 2.754229-4 1.289946+4 2.951209-4 1.137570+4 3.162278-4 1.010856+4 3.388442-4 9.043366+3 3.630781-4 8.141207+3 3.935501-4 7.253703+3 4.315191-4 6.412113+3 4.786301-4 5.626271+3 5.432503-4 4.836573+3 6.531306-4 3.917648+3 8.810489-4 2.790233+3 1.059254-3 2.249522+3 1.258925-3 1.824321+3 1.479108-3 1.489444+3 1.737801-3 1.206832+3 2.018366-3 9.855034+2 2.344229-3 7.988865+2 2.691535-3 6.535948+2 3.090295-3 5.309658+2 3.427678-3 4.514891+2 3.935501-3 3.609488+2 4.518559-3 2.863340+2 5.128614-3 2.299393+2 5.821032-3 1.833794+2 6.606934-3 1.452290+2 7.585776-3 1.117667+2 9.225714-3 7.646597+1 1.059254-2 5.809521+1 1.216186-2 4.381486+1 1.380384-2 3.358417+1 1.531087-2 2.685305+1 1.737801-2 2.025720+1 1.995262-2 1.477963+1 2.290868-2 1.070411+1 2.630268-2 7.696040+0 3.019952-2 5.494275+0 3.507519-2 3.784187+0 4.073803-2 2.586823+0 4.786301-2 1.703582+0 5.688529-2 1.080225+0 6.918310-2 6.393379-1 8.511380-2 3.639468-1 1.071519-1 1.930380-1 1.380384-1 9.537809-2 1.949845-1 3.617937-2 2.371374-1 2.104069-2 2.851018-1 1.272650-2 3.349654-1 8.253360-3 3.890451-1 5.561450-3 4.415705-1 4.010005-3 5.011872-1 2.911814-3 5.688529-1 2.130565-3 6.382635-1 1.615346-3 7.161434-1 1.233703-3 8.035261-1 9.495199-4 8.810489-1 7.736865-4 9.549926-1 6.506438-4 1.035142+0 5.508363-4 1.148154+0 4.483003-4 1.273503+0 3.675651-4 1.428894+0 2.969390-4 1.659587+0 2.267655-4 1.862087+0 1.854617-4 2.089296+0 1.527621-4 2.426610+0 1.196165-4 2.818383+0 9.438006-5 3.198895+0 7.775053-5 3.715352+0 6.230702-5 4.365158+0 4.947933-5 5.128614+0 3.959087-5 6.095369+0 3.141998-5 7.328245+0 2.475213-5 8.912509+0 1.936387-5 1.109175+1 1.484665-5 1.400000+1 1.128600-5 1.840772+1 8.255130-6 2.426610+1 6.072436-6 3.349654+1 4.280425-6 4.954502+1 2.825399-6 8.000000+1 1.716700-6 1.380384+2 9.813704-7 2.754229+2 4.873834-7 5.495409+2 2.431575-7 4.365158+3 3.047964-8 1.000000+5 1.329900-9 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 2.488000-5 2.488000-5 1.000000+5 2.488000-5 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 2.488000-5 0.0 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 1.862000-5 2.786638+7 1.883649-5 2.638692+7 1.945000-5 2.298036+7 2.000000-5 2.049412+7 2.070000-5 1.790680+7 2.162719-5 1.520242+7 2.270000-5 1.278396+7 2.400000-5 1.055084+7 2.600160-5 8.073623+6 3.000000-5 5.062040+6 3.801894-5 2.353614+6 4.265795-5 1.631911+6 4.677351-5 1.225649+6 5.069907-5 9.603175+5 5.500000-5 7.559640+5 5.900000-5 6.192200+5 6.309573-5 5.149906+5 6.760830-5 4.290463+5 7.244360-5 3.601682+5 7.762471-5 3.047385+5 8.317638-5 2.598599+5 8.912509-5 2.232223+5 9.549926-5 1.931024+5 1.023293-4 1.682168+5 1.100000-4 1.466876+5 1.174898-4 1.303589+5 1.260000-4 1.157996+5 1.364583-4 1.019310+5 1.500000-4 8.835360+4 1.659587-4 7.642201+4 1.850000-4 6.589240+4 2.089296-4 5.625271+4 2.540973-4 4.404042+4 3.758374-4 2.719440+4 4.677351-4 2.062731+4 5.583530-4 1.636672+4 6.606934-4 1.304111+4 7.762471-4 1.041376+4 9.120108-4 8.255871+3 1.071519-3 6.496478+3 1.258925-3 5.075234+3 1.479108-3 3.935835+3 1.737801-3 3.029773+3 2.065380-3 2.270701+3 2.426610-3 1.722356+3 2.818383-3 1.322873+3 3.281000-3 1.004273+3 3.801894-3 7.629096+2 4.365158-3 5.853483+2 5.011872-3 4.458504+2 5.754399-3 3.370006+2 6.683439-3 2.469790+2 7.673615-3 1.840678+2 8.810489-3 1.361645+2 1.000000-2 1.025758+2 1.135011-2 7.664872+1 1.303167-2 5.534946+1 1.496236-2 3.965653+1 1.717908-2 2.820023+1 1.972423-2 1.990058+1 2.264644-2 1.393172+1 2.600160-2 9.678410+0 3.000000-2 6.585857+0 3.467369-2 4.425352+0 4.027170-2 2.910952+0 4.677351-2 1.899623+0 5.495409-2 1.190563+0 6.839116-2 6.255935-1 8.317638-2 3.490382-1 1.023293-1 1.867135-1 1.258925-1 9.916170-2 1.840772-1 3.048868-2 2.113489-1 1.995362-2 2.483133-1 1.225499-2 2.884032-1 7.847950-3 3.311311-1 5.235601-3 3.758374-1 3.637974-3 4.216965-1 2.631453-3 4.731513-1 1.917436-3 5.308844-1 1.407585-3 5.888437-1 1.072949-3 6.531306-1 8.235660-4 7.244360-1 6.366903-4 8.511380-1 4.316351-4 9.120108-1 3.674551-4 9.660509-1 3.231099-4 1.023293+0 2.858669-4 1.109175+0 2.425762-4 1.216186+0 2.026387-4 1.333521+0 1.705725-4 1.603245+0 1.224386-4 1.819701+0 9.795680-5 2.018366+0 8.211644-5 2.344229+0 6.419059-5 2.722701+0 5.055544-5 3.090295+0 4.157245-5 3.589219+0 3.325740-5 4.216965+0 2.636610-5 4.954502+0 2.106398-5 5.888437+0 1.669032-5 7.079458+0 1.312936-5 8.511380+0 1.040420-5 1.047129+1 8.074702-6 1.288250+1 6.312428-6 1.621810+1 4.837123-6 2.089296+1 3.636029-6 2.800000+1 2.636100-6 3.845918+1 1.874411-6 5.559043+1 1.271100-6 9.332543+1 7.433737-7 1.678804+2 4.082079-7 3.349654+2 2.030350-7 1.333521+3 5.070679-8 1.000000+5 6.74960-10 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 1.862000-5 1.862000-5 1.000000+5 1.862000-5 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 1.862000-5 0.0 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 4.730000-6 8.011460+6 5.000000-6 6.681420+6 5.821032-6 4.043888+6 6.839116-6 2.392658+6 8.035261-6 1.426279+6 9.549926-6 8.252700+5 1.135011-5 4.812089+5 1.318257-5 3.037649+5 1.500000-5 2.056720+5 1.659587-5 1.525655+5 1.800000-5 1.207736+5 1.950000-5 9.659580+4 2.089296-5 8.022357+4 2.238721-5 6.710389+4 2.371374-5 5.818956+4 2.511886-5 5.079080+4 2.660725-5 4.465537+4 2.818383-5 3.955508+4 2.985383-5 3.529682+4 3.162278-5 3.172192+4 3.350000-5 2.869380+4 3.570000-5 2.587620+4 3.801894-5 2.353090+4 4.120975-5 2.101080+4 4.518559-5 1.861058+4 5.000000-5 1.640932+4 6.095369-5 1.299202+4 9.225714-5 8.082516+3 1.083927-4 6.755949+3 1.428894-4 5.014546+3 1.566751-4 4.517244+3 1.737801-4 3.985260+3 1.972423-4 3.391858+3 2.454709-4 2.554082+3 3.758374-4 1.452727+3 4.265795-4 1.222088+3 5.888437-4 7.791321+2 6.918310-4 6.161737+2 8.810489-4 4.309059+2 1.071519-3 3.194042+2 1.380384-3 2.152291+2 1.757924-3 1.465428+2 2.000000-3 1.190264+2 2.290868-3 9.433462+1 2.754229-3 6.944132+1 3.890451-3 3.935572+1 4.168694-3 3.499592+1 5.128614-3 2.438552+1 6.237348-3 1.721114+1 7.585776-3 1.205582+1 9.225714-3 8.381500+0 1.122018-2 5.783022+0 1.364583-2 3.959465+0 1.659587-2 2.689613+0 2.018366-2 1.812470+0 2.426610-2 1.240767+0 2.917427-2 8.429956-1 3.507519-2 5.681972-1 4.216965-2 3.799848-1 5.069907-2 2.521340-1 6.095369-2 1.659464-1 7.328245-2 1.084231-1 8.609938-2 7.424540-2 1.071519-1 4.403194-2 1.380384-1 2.384341-2 2.540973-1 5.334764-3 3.162278-1 3.137414-3 3.801894-1 2.020654-3 4.466836-1 1.385258-3 5.128614-1 1.009188-3 5.888437-1 7.406212-4 6.683439-1 5.616005-4 7.585776-1 4.288349-4 8.609938-1 3.298634-4 9.772372-1 2.556552-4 1.202264+0 1.704061-4 1.364583+0 1.339056-4 1.531087+0 1.082596-4 1.717908+0 8.813747-5 1.927525+0 7.225607-5 2.213095+0 5.741553-5 2.570396+0 4.508683-5 2.951209+0 3.632084-5 3.388442+0 2.948325-5 3.935501+0 2.369407-5 4.623810+0 1.886782-5 5.432503+0 1.513568-5 6.456542+0 1.204227-5 7.762471+0 9.508945-6 9.332543+0 7.562457-6 1.161449+1 5.808007-6 1.462177+1 4.436425-6 1.883649+1 3.324478-6 2.483133+1 2.447038-6 3.427678+1 1.725931-6 5.069907+1 1.139779-6 8.222427+1 6.896825-7 1.428894+2 3.915648-7 2.851018+2 1.945260-7 5.688529+2 9.706524-8 4.518559+3 1.216860-8 1.000000+5 5.49630-10 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 4.730000-6 4.730000-6 1.000000+5 4.730000-6 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 4.730000-6 0.0 1.000000+5 1.000000+5 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 7.296800-7 1.025800+0 1.315030-6 1.026100+0 1.649870-6 1.026600+0 2.325940-6 1.027100+0 3.164490-6 1.027500+0 3.963480-6 1.028100+0 5.396210-6 1.028750+0 7.296800-6 1.029500+0 9.985860-6 1.030100+0 1.255840-5 1.031000+0 1.718420-5 1.032000+0 2.351230-5 1.033200+0 3.293680-5 1.034000+0 4.043290-5 1.035300+0 5.488200-5 1.036640+0 7.296800-5 1.038200+0 9.847270-5 1.039700+0 1.279360-4 1.041500+0 1.702170-4 1.043800+0 2.362670-4 1.046400+0 3.287210-4 1.048300+0 4.092670-4 1.051200+0 5.551610-4 1.054080+0 7.296800-4 1.057700+0 9.946000-4 1.061100+0 1.293720-3 1.065100+0 1.712750-3 1.070400+0 2.389460-3 1.076200+0 3.302220-3 1.080600+0 4.123930-3 1.087100+0 5.556300-3 1.093710+0 7.296800-3 1.102600+0 1.011690-2 1.110700+0 1.319450-2 1.120600+0 1.765040-2 1.133300+0 2.454190-2 1.147500+0 3.388520-2 1.158200+0 4.211080-2 1.174100+0 5.628190-2 1.190110+0 7.296800-2 1.205100+0 9.082450-2 1.227500+0 1.215540-1 1.250000+0 1.571000-1 1.265600+0 1.843080-1 1.294900+0 2.406430-1 1.331800+0 3.202340-1 1.362600+0 3.929440-1 1.397000+0 4.796990-1 1.433800+0 5.777880-1 1.477900+0 7.008180-1 1.500000+0 7.643000-1 1.562500+0 9.483980-1 1.617200+0 1.113260+0 1.712900+0 1.404280+0 1.784700+0 1.621900+0 1.892300+0 1.944510+0 2.000000+0 2.263000+0 2.044000+0 2.392000+0 2.163500+0 2.734090+0 2.372600+0 3.301340+0 2.686300+0 4.082950+0 3.000000+0 4.798000+0 3.500000+0 5.841530+0 4.000000+0 6.790000+0 5.000000+0 8.454000+0 6.000000+0 9.886000+0 7.000000+0 1.115000+1 8.000000+0 1.229000+1 9.000000+0 1.333000+1 1.000000+1 1.429000+1 1.100000+1 1.518000+1 1.200000+1 1.600000+1 1.300000+1 1.678000+1 1.400000+1 1.750000+1 1.500000+1 1.818000+1 1.600000+1 1.881000+1 1.800000+1 1.995000+1 2.000000+1 2.097000+1 2.200000+1 2.190000+1 2.400000+1 2.275000+1 2.600000+1 2.352000+1 2.800000+1 2.423000+1 3.000000+1 2.488000+1 4.000000+1 2.755000+1 5.000000+1 2.953000+1 6.000000+1 3.106000+1 8.000000+1 3.332000+1 1.000000+2 3.491000+1 1.500000+2 3.742000+1 2.000000+2 3.891000+1 3.000000+2 4.064000+1 4.000000+2 4.164000+1 5.000000+2 4.229000+1 6.000000+2 4.276000+1 8.000000+2 4.338000+1 1.000000+3 4.378000+1 1.500000+3 4.436000+1 2.000000+3 4.468000+1 3.000000+3 4.502000+1 4.000000+3 4.520000+1 5.000000+3 4.532000+1 6.000000+3 4.540000+1 8.000000+3 4.551000+1 1.000000+4 4.557000+1 1.500000+4 4.567000+1 2.000000+4 4.572000+1 3.000000+4 4.577000+1 4.000000+4 4.580000+1 5.000000+4 4.581000+1 6.000000+4 4.582000+1 8.000000+4 4.584000+1 1.000000+5 4.585000+1 1 88000 7 8 2.260000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 8.805380-7 2.090400+0 1.195550-6 2.094700+0 1.550210-6 2.099900+0 2.062340-6 2.106600+0 2.868890-6 2.114000+0 3.969470-6 2.119500+0 4.941960-6 2.127900+0 6.702240-6 2.136250+0 8.805380-6 2.147000+0 1.207280-5 2.156900+0 1.568110-5 2.169000+0 2.092740-5 2.184500+0 2.908980-5 2.201800+0 4.024660-5 2.214800+0 5.014410-5 2.234200+0 6.745270-5 2.253680+0 8.805380-5 2.281500+0 1.233350-4 2.307000+0 1.620000-4 2.338200+0 2.178230-4 2.377400+0 3.016580-4 2.410200+0 3.836580-4 2.446800+0 4.880340-4 2.485900+0 6.144620-4 2.532900+0 7.863820-4 2.556430+0 8.805380-4 2.611900+0 1.122790-3 2.660400+0 1.357400-3 2.745300+0 1.816810-3 2.809000+0 2.200270-3 2.904500+0 2.834510-3 3.000000+0 3.538000-3 3.125000+0 4.561850-3 3.234400+0 5.550330-3 3.425800+0 7.472940-3 3.569300+0 9.060240-3 3.784700+0 1.164390-2 4.000000+0 1.442000-2 4.250000+0 1.781220-2 4.625000+0 2.313880-2 5.000000+0 2.867000-2 5.500000+0 3.625180-2 6.000000+0 4.393000-2 6.750000+0 5.535560-2 7.000000+0 5.911000-2 8.000000+0 7.376000-2 9.000000+0 8.775000-2 1.000000+1 1.010000-1 1.100000+1 1.135000-1 1.200000+1 1.253000-1 1.300000+1 1.364000-1 1.400000+1 1.469000-1 1.500000+1 1.568000-1 1.600000+1 1.662000-1 1.800000+1 1.836000-1 2.000000+1 1.994000-1 2.200000+1 2.137000-1 2.400000+1 2.269000-1 2.600000+1 2.390000-1 2.800000+1 2.502000-1 3.000000+1 2.606000-1 4.000000+1 3.032000-1 5.000000+1 3.353000-1 6.000000+1 3.604000-1 8.000000+1 3.980000-1 1.000000+2 4.251000-1 1.500000+2 4.694000-1 2.000000+2 4.968000-1 3.000000+2 5.301000-1 4.000000+2 5.500000-1 5.000000+2 5.635000-1 6.000000+2 5.734000-1 8.000000+2 5.870000-1 1.000000+3 5.961000-1 1.500000+3 6.096000-1 2.000000+3 6.172000-1 3.000000+3 6.256000-1 4.000000+3 6.306000-1 5.000000+3 6.336000-1 6.000000+3 6.357000-1 8.000000+3 6.386000-1 1.000000+4 6.404000-1 1.500000+4 6.428000-1 2.000000+4 6.443000-1 3.000000+4 6.456000-1 4.000000+4 6.465000-1 5.000000+4 6.470000-1 6.000000+4 6.474000-1 8.000000+4 6.477000-1 1.000000+5 6.480000-1 1 88000 7 8 2.260000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 88000 7 9 2.260000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 8.800000+1 1.000000+5 8.800000+1 5.000000+5 8.796800+1 7.500000+5 8.793180+1 9.375000+5 8.790720+1 1.000000+6 8.789700+1 1.250000+6 8.784050+1 1.500000+6 8.778300+1 1.875000+6 8.766430+1 2.000000+6 8.761900+1 2.375000+6 8.746800+1 2.500000+6 8.741300+1 2.875000+6 8.723430+1 3.000000+6 8.717000+1 3.250000+6 8.702720+1 3.625000+6 8.681180+1 4.000000+6 8.658500+1 4.437500+6 8.629760+1 4.812500+6 8.603640+1 5.000000+6 8.591000+1 5.500000+6 8.553850+1 5.875000+6 8.524920+1 6.437500+6 8.480400+1 6.500000+6 8.475160+1 7.000000+6 8.435100+1 8.000000+6 8.353120+1 9.000000+6 8.270000+1 1.000000+7 8.185300+1 1.250000+7 7.975000+1 1.500000+7 7.761000+1 1.750000+7 7.543100+1 2.000000+7 7.325900+1 2.375000+7 7.007130+1 2.500000+7 6.904400+1 2.875000+7 6.609440+1 3.000000+7 6.516200+1 3.250000+7 6.335950+1 3.500000+7 6.164650+1 3.625000+7 6.080970+1 4.000000+7 5.840600+1 4.500000+7 5.537620+1 5.000000+7 5.252200+1 5.500000+7 4.982890+1 6.000000+7 4.730900+1 6.750000+7 4.386110+1 7.000000+7 4.280200+1 8.000000+7 3.896300+1 9.000000+7 3.566000+1 1.000000+8 3.275200+1 1.062500+8 3.108330+1 1.125000+8 2.950870+1 1.156300+8 2.875070+1 1.250000+8 2.659000+1 1.359400+8 2.426740+1 1.500000+8 2.166900+1 1.750000+8 1.811950+1 1.875000+8 1.678560+1 2.000000+8 1.568900+1 2.125000+8 1.479270+1 2.312500+8 1.371040+1 2.375000+8 1.340220+1 2.500000+8 1.284200+1 2.718800+8 1.197020+1 2.859400+8 1.140550+1 2.875000+8 1.134160+1 2.964800+8 1.095730+1 3.000000+8 1.080100+1 3.125000+8 1.022930+1 3.359400+8 9.235650+0 3.375000+8 9.177870+0 3.500000+8 8.760500+0 3.625000+8 8.427400+0 3.859400+8 7.888200+0 4.000000+8 7.545300+0 4.125000+8 7.204980+0 4.234400+8 6.894470+0 4.425800+8 6.358690+0 4.750000+8 5.571820+0 4.784700+8 5.499820+0 4.928200+8 5.231990+0 5.000000+8 5.115000+0 5.179700+8 4.871420+0 5.330100+8 4.706820+0 5.425800+8 4.615790+0 6.000000+8 4.173700+0 7.000000+8 3.525500+0 7.500000+8 3.273880+0 7.750000+8 3.148110+0 8.000000+8 3.013500+0 8.250000+8 2.868560+0 9.500000+8 2.187420+0 1.000000+9 1.989600+0 1.031300+9 1.891610+0 1.074300+9 1.782490+0 1.113800+9 1.702010+0 1.162000+9 1.622840+0 1.204300+9 1.566260+0 1.250000+9 1.514930+0 1.278200+9 1.487140+0 1.389100+9 1.396760+0 1.500000+9 1.321400+0 1.625000+9 1.242100+0 1.718800+9 1.184650+0 1.859400+9 1.101680+0 2.000000+9 1.022300+0 2.139200+9 9.472060-1 2.272600+9 8.793580-1 2.443000+9 7.989170-1 2.602800+9 7.300810-1 2.750000+9 6.720740-1 2.752700+9 6.710630-1 2.959000+9 5.980930-1 3.148200+9 5.389630-1 3.379700+9 4.755390-1 3.676800+9 4.065990-1 3.986900+9 3.470640-1 4.240200+9 3.061640-1 4.511500+9 2.687100-1 4.837200+9 2.309560-1 5.000000+9 2.145800-1 5.375000+9 1.820240-1 5.703100+9 1.585210-1 6.277300+9 1.259870-1 7.031000+9 9.526450-2 8.000000+9 6.873900-2 9.500000+9 4.413160-2 1.00000+10 3.862900-2 1.54060+10 1.250920-2 1.00000+11 9.207200-5 1.68570+11 2.363160-5 3.34410+11 4.022550-6 8.62510+11 3.549810-7 2.83020+12 1.738260-8 1.00000+14 2.21890-12 3.16230+15 3.60007-16 1.00000+17 5.58050-20 1 88000 7 0 2.260000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.44000-11 1.000000+2 1.440000-9 1.000000+3 1.440000-7 1.000000+4 1.440000-5 1.000000+5 1.440000-3 5.000000+5 3.600000-2 7.500000+5 8.100000-2 9.375000+5 1.265625-1 1.000000+6 1.440000-1 1.250000+6 2.228660-1 1.500000+6 3.170000-1 1.875000+6 4.846810-1 2.000000+6 5.470000-1 2.375000+6 7.505600-1 2.500000+6 8.234000-1 2.875000+6 1.054150+0 3.000000+6 1.134600+0 3.250000+6 1.299570+0 3.625000+6 1.555140+0 4.000000+6 1.816900+0 4.437500+6 2.125240+0 4.812500+6 2.388970+0 5.000000+6 2.520000+0 5.500000+6 2.863680+0 5.875000+6 3.116290+0 6.437500+6 3.486870+0 6.500000+6 3.527260+0 7.000000+6 3.847900+0 8.000000+6 4.470420+0 9.000000+6 5.082400+0 1.000000+7 5.696000+0 1.250000+7 7.266500+0 1.500000+7 8.858000+0 1.750000+7 1.042700+1 2.000000+7 1.196400+1 2.375000+7 1.420750+1 2.500000+7 1.493400+1 2.875000+7 1.701570+1 3.000000+7 1.767200+1 3.250000+7 1.891660+1 3.500000+7 2.008760+1 3.625000+7 2.065160+1 4.000000+7 2.227000+1 4.500000+7 2.431030+1 5.000000+7 2.628300+1 5.500000+7 2.822880+1 6.000000+7 3.013900+1 6.750000+7 3.290040+1 7.000000+7 3.379000+1 8.000000+7 3.713600+1 9.000000+7 4.012100+1 1.000000+8 4.274400+1 1.062500+8 4.421650+1 1.125000+8 4.558590+1 1.156300+8 4.623860+1 1.250000+8 4.809300+1 1.359400+8 5.009740+1 1.500000+8 5.250200+1 1.750000+8 5.639420+1 1.875000+8 5.817470+1 2.000000+8 5.985800+1 2.125000+8 6.143990+1 2.312500+8 6.362670+1 2.375000+8 6.430680+1 2.500000+8 6.560200+1 2.718800+8 6.763950+1 2.859400+8 6.880690+1 2.875000+8 6.893020+1 2.964800+8 6.962400+1 3.000000+8 6.988500+1 3.125000+8 7.076110+1 3.359400+8 7.223090+1 3.375000+8 7.231940+1 3.500000+8 7.301800+1 3.625000+8 7.366580+1 3.859400+8 7.476120+1 4.000000+8 7.536300+1 4.125000+8 7.585970+1 4.234400+8 7.626460+1 4.425800+8 7.693880+1 4.750000+8 7.796040+1 4.784700+8 7.806040+1 4.928200+8 7.846510+1 5.000000+8 7.866400+1 5.179700+8 7.913010+1 5.330100+8 7.949970+1 5.425800+8 7.972450+1 6.000000+8 8.095900+1 7.000000+8 8.264900+1 7.500000+8 8.331350+1 7.750000+8 8.360810+1 8.000000+8 8.388100+1 8.250000+8 8.412150+1 9.500000+8 8.509120+1 1.000000+9 8.538100+1 1.031300+9 8.553440+1 1.074300+9 8.573190+1 1.113800+9 8.589170+1 1.162000+9 8.605640+1 1.204300+9 8.619410+1 1.250000+9 8.631840+1 1.278200+9 8.639010+1 1.389100+9 8.663890+1 1.500000+9 8.684700+1 1.625000+9 8.703340+1 1.718800+9 8.716430+1 1.859400+9 8.732190+1 2.000000+9 8.746100+1 2.139200+9 8.756380+1 2.272600+9 8.764180+1 2.443000+9 8.772510+1 2.602800+9 8.778920+1 2.750000+9 8.783290+1 2.752700+9 8.783370+1 2.959000+9 8.787920+1 3.148200+9 8.790930+1 3.379700+9 8.794370+1 3.676800+9 8.796060+1 3.986900+9 8.797640+1 4.240200+9 8.798670+1 4.511500+9 8.798940+1 4.837200+9 8.799250+1 5.000000+9 8.799400+1 5.375000+9 8.799490+1 5.703100+9 8.799570+1 6.277300+9 8.799690+1 7.031000+9 8.799840+1 8.000000+9 8.800000+1 9.500000+9 8.800000+1 1.00000+10 8.800000+1 1.54060+10 8.800000+1 1.00000+11 8.800000+1 1.68570+11 8.800000+1 3.34410+11 8.800000+1 8.62510+11 8.800000+1 2.83020+12 8.800000+1 1.00000+14 8.800000+1 3.16230+15 8.800000+1 1.00000+17 8.800000+1 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.433916-6 0.0 1.437445-6 2.705981-7 1.440975-6 5.354389-7 1.444504-6 9.780230-7 1.448034-6 1.649081-6 1.451563-6 2.566781-6 1.455092-6 3.687988-6 1.458622-6 4.891523-6 1.462151-6 5.988977-6 1.465681-6 6.768852-6 1.469210-6 7.062059-6 1.472739-6 6.801451-6 1.476269-6 6.046802-6 1.479798-6 4.962539-6 1.486857-6 2.629191-6 1.490386-6 1.697314-6 1.493916-6 1.011478-6 1.497445-6 5.564223-7 1.500975-6 2.825574-7 1.504504-6 0.0 1.755471-6 0.0 1.759792-6 9.035699-7 1.764113-6 1.787916-6 1.768434-6 3.265774-6 1.772755-6 5.506544-6 1.777076-6 8.570890-6 1.781397-6 1.231478-5 1.785717-6 1.633357-5 1.790038-6 1.999814-5 1.794359-6 2.260227-5 1.798680-6 2.358134-5 1.803001-6 2.271112-5 1.807322-6 2.019123-5 1.811643-6 1.657071-5 1.820284-6 8.779287-6 1.824605-6 5.667602-6 1.828926-6 3.377485-6 1.833247-6 1.857982-6 1.837568-6 9.435040-7 1.841889-6 0.0 1.930786-6 0.0 1.939697-6 4.432798+0 1.940291-6 4.725597+0 1.945043-6 8.631689+0 1.949796-6 1.455421+1 1.955142-6 2.388783+1 1.963468-6 4.186112+1 1.969102-6 5.328584+1 1.973994-6 5.997658+1 1.978636-6 6.216981+1 1.983832-6 5.895138+1 1.988791-6 5.140594+1 1.996735-6 3.448965+1 2.002072-6 2.320432+1 2.006824-6 1.497990+1 2.011577-6 8.926950+0 2.016329-6 4.910788+0 2.023161-6 1.404179+0 2.025834-6 0.0 2.225346-6 0.0 2.234931-6 8.516655+0 2.236301-6 9.720905+0 2.241778-6 1.775603+1 2.247256-6 2.993910+1 2.253418-6 4.913904+1 2.263014-6 8.611145+1 2.269508-6 1.096130+2 2.275529-6 1.237486+2 2.280875-6 1.275612+2 2.286411-6 1.214494+2 2.292059-6 1.062497+2 2.300682-6 7.363923+1 2.307507-6 4.773302+1 2.312984-6 3.081478+1 2.318462-6 1.836340+1 2.323939-6 1.010186+1 2.332155-6 2.567933+0 2.334894-6 0.0 2.887312-6 0.0 2.894419-6 2.76595-15 2.901526-6 5.47304-15 2.908633-6 9.99696-15 2.915739-6 1.68563-14 2.922846-6 2.62366-14 2.929953-6 3.76972-14 2.937060-6 4.99992-14 2.944166-6 6.12169-14 2.951273-6 6.91885-14 2.958380-6 7.21856-14 2.965487-6 6.95217-14 2.972594-6 6.18080-14 2.979700-6 5.07251-14 2.993914-6 2.68745-14 3.001021-6 1.73493-14 3.008127-6 1.03389-14 3.015234-6 5.68753-15 3.022341-6 2.88819-15 3.029448-6 0.0 3.368879-6 0.0 3.383390-6 1.101362-1 3.385463-6 1.257095-1 3.393756-6 2.296199-1 3.402048-6 3.871723-1 3.411136-6 6.284579-1 3.435739-6 1.417576+0 3.444109-6 1.594021+0 3.452523-6 1.652491+0 3.461658-6 1.563542+0 3.463052-6 1.541942+0 3.469843-6 1.684294+0 3.480624-6 1.835654+0 3.488536-6 2.154198+0 3.497403-6 2.895378+0 3.507488-6 4.270154+0 3.531993-6 8.558201+0 3.540530-6 9.555798+0 3.549000-6 9.884069+0 3.557156-6 9.490365+0 3.565963-6 8.345322+0 3.590717-6 3.694180+0 3.599240-6 2.384834+0 3.607764-6 1.421190+0 3.616287-6 7.818085-1 3.629072-6 1.987389-1 3.633334-6 0.0 3.773363-6 0.0 3.782651-6 9.44051-12 3.791939-6 1.86802-11 3.801226-6 3.41209-11 3.810514-6 5.75325-11 3.819802-6 8.95488-11 3.829089-6 1.28665-10 3.838377-6 1.70653-10 3.847665-6 2.08941-10 3.856952-6 2.36149-10 3.866240-6 2.46378-10 3.875528-6 2.37286-10 3.884815-6 2.10958-10 3.893985-6 1.73615-10 3.913154-6 2.712496-2 3.922738-6 4.954692-2 3.932323-6 8.354426-2 3.935952-6 1.011203-1 3.941907-6 2.001470-1 3.955327-6 4.370823-1 3.965015-6 6.832162-1 3.976635-6 1.099897+0 3.988947-6 1.654109+0 4.010320-6 2.670146+0 4.015112-6 2.852618+0 4.024731-6 3.087396+0 4.034350-6 3.115532+0 4.043970-6 2.924747+0 4.054192-6 2.517303+0 4.081269-6 1.115726+0 4.090957-6 7.160193-1 4.100645-6 4.266954-1 4.110333-6 2.347280-1 4.120021-6 1.191973-1 4.129708-6 1.98532-10 4.138518-6 2.22475-10 4.146226-6 2.38496-10 4.166637-6 1.036099-2 4.168586-6 1.199319-2 4.178190-6 6.842447-2 4.189106-6 1.365257-1 4.199367-6 2.387109-1 4.209627-6 3.874931-1 4.219888-6 5.836349-1 4.245539-6 1.160349+0 4.250669-6 1.265621+0 4.260930-6 1.405431+0 4.271190-6 1.444520+0 4.281450-6 1.373674+0 4.294276-6 1.155520+0 4.312232-6 7.766614-1 4.322492-6 5.841643-1 4.332753-6 4.529169-1 4.343013-6 3.947345-1 4.353274-6 4.067590-1 4.374406-6 5.603897-1 4.387214-6 7.058601-1 4.395575-6 7.838019-1 4.406160-6 8.310148-1 4.419215-6 8.200524-1 4.455831-6 6.654277-1 4.472552-6 6.446042-1 4.503618-6 6.679938-1 4.591211-6 6.337489-1 4.636522-6 5.967512-1 4.666345-6 5.536880-1 4.699963-6 5.517755-1 4.728879-6 5.725518-1 4.756657-6 5.732158-1 4.824183-6 5.194256-1 5.324691-6 4.137331-1 5.879968-6 3.293951-1 6.371262-6 2.748840-1 7.040088-6 2.197208-1 7.798606-6 1.752347-1 8.630508-6 1.405138-1 9.600000-6 1.116063-1 1.059358-5 9.052229-2 1.178371-5 7.235150-2 1.318257-5 5.732895-2 1.474734-5 4.570906-2 1.496867-5 4.436010-2 1.502393-5 1.789524+0 1.504235-5 2.363870+0 1.507920-5 4.281283+0 1.511604-5 7.188622+0 1.515288-5 1.116461+1 1.518973-5 1.602234+1 1.524499-5 2.361135+1 1.527012-5 2.660569+1 1.529025-5 2.845115+1 1.530026-5 3.196339+1 1.534420-5 4.433379+1 1.537022-5 5.073942+1 1.540315-5 6.223104+1 1.544352-5 8.404726+1 1.548805-5 1.190097+2 1.559731-5 2.249081+2 1.563781-5 2.489506+2 1.567400-5 2.541271+2 1.570887-5 2.422551+2 1.574795-5 2.117580+2 1.585478-5 9.496550+1 1.589241-5 6.132034+1 1.593005-5 3.655836+1 1.596768-5 2.012860+1 1.602413-5 5.145738+0 1.604295-5 3.884362-2 1.642209-5 3.701464-2 1.650293-5 4.554523-1 1.654335-5 8.014647-1 1.658377-5 1.326190+0 1.662420-5 2.043835+0 1.668483-5 3.390704+0 1.674546-5 4.720123+0 1.678588-5 5.329964+0 1.682630-5 5.559141+0 1.686672-5 5.355142+0 1.690714-5 4.764714+0 1.695312-5 3.827309+0 1.702846-5 3.488743+0 1.703946-5 3.525756+0 1.707830-5 4.045902+0 1.712003-5 5.436277+0 1.716944-5 8.227412+0 1.729310-5 1.715656+1 1.733494-5 1.913713+1 1.737678-5 1.977850+1 1.741913-5 1.894737+1 1.748370-5 1.559222+1 1.758356-5 9.577618+0 1.762653-5 7.944112+0 1.766702-5 7.156252+0 1.771010-5 7.084996+0 1.779845-5 8.023195+0 1.785406-5 9.146543+0 1.789530-5 9.659506+0 1.794174-5 9.862575+0 1.811078-5 9.143635+0 1.842675-5 8.052440+0 1.860878-5 7.380802+0 1.879861-5 7.044058+0 2.060072-5 5.412237+0 2.111810-5 5.048181+0 2.122206-5 1.532087+1 2.127404-5 2.383337+1 2.132927-5 3.785933+1 2.138186-5 5.605835+1 2.151555-5 1.123305+2 2.157162-5 1.313041+2 2.160097-5 1.370744+2 2.164521-5 1.403665+2 2.169465-5 1.346775+2 2.174975-5 1.181084+2 2.189780-5 5.534517+1 2.194978-5 3.732517+1 2.200176-5 2.405523+1 2.205374-5 1.524103+1 2.215770-5 4.444510+0 2.257153-5 4.238118+0 2.273820-5 4.389145+0 2.284932-5 4.708710+0 2.301599-5 5.437191+0 2.307396-5 5.597790+0 2.316740-5 6.087944+0 2.324434-5 6.437282+0 2.330114-5 6.914141+0 2.335793-5 7.649644+0 2.352831-5 1.091058+1 2.359231-5 1.176005+1 2.366489-5 1.204097+1 2.372478-5 1.165341+1 2.389736-5 9.224967+0 2.398361-5 8.403138+0 2.408749-5 8.305707+0 2.432051-5 8.638289+0 2.497915-5 7.845781+0 2.539699-5 7.217367+0 2.721158-5 6.084660+0 2.951209-5 5.064764+0 3.235937-5 4.164700+0 3.570000-5 3.392199+0 3.627835-5 3.291805+0 3.663553-5 3.412805+0 3.708201-5 3.803486+0 3.726874-5 3.746199+0 3.770707-5 3.200715+0 3.788566-5 3.098504+0 3.825816-5 3.126558+0 3.860443-5 3.133981+0 4.086842-5 2.739507+0 4.551283-5 2.177715+0 4.972785-5 1.810468+0 5.479837-5 1.491160+0 6.125169-5 1.209813+0 6.878599-5 9.889011-1 7.119073-5 9.344476-1 7.154118-5 1.066257+0 7.171641-5 1.177581+0 7.189164-5 1.348207+0 7.206687-5 1.582827+0 7.260654-5 2.499088+0 7.289321-5 2.808050+0 7.299849-5 2.874147+0 7.304645-5 2.963334+0 7.320271-5 3.732856+0 7.329982-5 4.767898+0 7.336287-5 5.906300+0 7.341162-5 7.265881+0 7.346730-5 9.402628+0 7.354001-5 1.298474+1 7.362633-5 1.829811+1 7.374802-5 2.690959+1 7.386115-5 3.733501+1 7.396186-5 4.904634+1 7.409336-5 6.814738+1 7.430276-5 1.078366+2 7.479252-5 2.154291+2 7.501301-5 2.480269+2 7.520113-5 2.572742+2 7.539772-5 2.457403+2 7.560823-5 2.139477+2 7.609988-5 1.110948+2 7.626092-5 8.295259+1 7.639375-5 6.452358+1 7.649007-5 5.367257+1 7.658859-5 4.458830+1 7.666902-5 3.867221+1 7.676026-5 3.325945+1 7.691369-5 2.609871+1 7.702465-5 2.242303+1 7.710551-5 2.102238+1 7.725116-5 2.054614+1 7.860886-5 2.114547+1 7.876715-5 2.160409+1 7.889348-5 2.427999+1 7.912199-5 3.343166+1 7.914705-5 3.451568+1 7.929056-5 4.312463+1 7.936128-5 4.858382+1 7.950878-5 6.281175+1 7.965526-5 8.145561+1 7.978213-5 1.006795+2 8.018296-5 1.731776+2 8.035264-5 2.048439+2 8.057487-5 2.340302+2 8.072124-5 2.452601+2 8.092689-5 2.433189+2 8.113019-5 2.248675+2 8.142273-5 1.787720+2 8.175117-5 1.199010+2 8.190187-5 9.669063+1 8.203598-5 7.926648+1 8.219302-5 6.331647+1 8.228147-5 5.634730+1 8.242846-5 4.728457+1 8.263646-5 3.705777+1 8.276764-5 3.353265+1 8.298825-5 3.178688+1 8.541186-5 2.833317+1 9.169821-5 2.139359+1 9.654966-5 1.741757+1 1.015956-4 1.437861+1 1.078203-4 1.159609+1 1.144567-4 9.350586+0 1.220183-4 7.375899+0 1.296000-4 5.878860+0 1.366506-4 4.819018+0 1.458084-4 3.790126+0 1.531201-4 3.176849+0 1.542513-4 3.114048+0 1.554589-4 3.177658+0 1.563192-4 3.360648+0 1.581526-4 3.906461+0 1.594161-4 3.992041+0 1.635390-4 3.594430+0 1.736197-4 3.058040+0 1.880993-4 2.548850+0 1.925096-4 2.433889+0 1.939391-4 2.537404+0 1.949477-4 2.769889+0 1.968821-4 3.440136+0 1.978181-4 3.547660+0 1.990479-4 3.381086+0 2.011451-4 3.018070+0 2.019864-4 2.919562+0 2.052039-4 2.799840+0 2.206967-4 2.518710+0 2.402288-4 2.313945+0 2.470377-4 2.288940+0 2.528059-4 2.490723+0 2.660725-4 2.419270+0 2.809478-4 2.412311+0 2.823309-4 3.354536+0 2.830224-4 4.161674+0 2.837606-4 5.530104+0 2.845732-4 7.665514+0 2.866237-4 1.428167+1 2.874077-4 1.600073+1 2.881037-4 1.661491+1 2.887968-4 1.624173+1 2.895967-4 1.474507+1 2.915037-4 9.639638+0 2.921238-4 8.321565+0 2.927880-4 7.398845+0 2.934711-4 6.977249+0 2.947967-4 7.025702+0 2.958745-4 7.754288+0 2.966050-4 7.938503+0 2.973024-4 7.838090+0 2.980862-4 7.398176+0 3.008445-4 4.791906+0 3.015134-4 4.313444+0 3.022133-4 3.947322+0 3.035960-4 3.470973+0 3.064469-4 3.379653+0 3.155799-4 3.582630+0 3.219988-4 3.909361+0 3.294417-4 4.558442+0 3.362500-4 5.424964+0 3.456000-4 7.006445+0 3.532457-4 8.596150+0 3.710010-4 1.303973+1 4.011986-4 2.082611+1 4.235614-4 2.553073+1 4.544646-4 3.005782+1 4.883711-4 3.301968+1 5.308844-4 3.476655+1 5.878762-4 3.515219+1 5.941433-4 3.636344+1 6.027410-4 4.074575+1 6.072124-4 4.028539+1 6.140957-4 3.844003+1 6.241856-4 3.836074+1 6.301613-4 3.993763+1 6.366475-4 4.208603+1 6.521841-4 3.967741+1 8.517082-4 3.534092+1 8.721332-4 3.684699+1 1.032726-3 3.244997+1 1.188373-3 2.942753+1 1.532232-3 2.315085+1 1.819701-3 1.922600+1 2.166476-3 1.574439+1 2.599655-3 1.264052+1 3.035954-3 1.043774+1 3.051239-3 1.094556+1 3.061152-3 1.169697+1 3.070405-3 1.292360+1 3.081921-3 1.530703+1 3.110680-3 2.316902+1 3.124476-3 2.541553+1 3.138976-3 2.605333+1 3.186275-3 2.482930+1 3.211638-3 2.604038+1 3.227929-3 2.833637+1 3.258590-3 3.410665+1 3.274246-3 3.536854+1 3.307555-3 3.418049+1 3.354099-3 3.265624+1 3.691867-3 2.814005+1 3.740114-3 2.858929+1 3.798562-3 3.077050+1 3.899974-3 3.010660+1 4.397489-3 2.523814+1 4.539271-3 2.551044+1 4.753924-3 2.408890+1 4.899523-3 2.387657+1 5.704926-3 1.921553+1 6.521913-3 1.579124+1 7.328245-3 1.325636+1 8.499141-3 1.059520+1 9.674422-3 8.679106+0 1.105506-2 7.051115+0 1.252127-2 5.797010+0 1.433406-2 4.675427+0 1.509597-2 4.321039+0 1.520294-2 4.437692+0 1.527116-2 4.759027+0 1.533342-2 5.353298+0 1.542506-2 6.743375+0 1.553107-2 8.456249+0 1.560734-2 9.249443+0 1.572187-2 9.669269+0 1.821004-2 7.686607+0 1.836738-2 7.904097+0 1.854180-2 8.861142+0 1.872025-2 9.841072+0 1.894950-2 1.010085+1 1.916951-2 1.041429+1 1.941016-2 1.098294+1 1.989419-2 1.077595+1 2.316613-2 8.518067+0 2.661675-2 6.844672+0 3.062936-2 5.460596+0 3.489413-2 4.414412+0 4.014578-2 3.501851+0 4.531201-2 2.862698+0 5.128614-2 2.323515+0 5.797258-2 1.888828+0 6.578176-2 1.522508+0 7.422610-2 1.238266+0 8.353677-2 1.010605+0 9.509556-2 8.087195-1 1.018518-1 7.232080-1 1.024137-1 7.445012-1 1.027775-1 7.970849-1 1.030725-1 8.833307-1 1.033349-1 1.005801+0 1.036903-1 1.250660+0 1.040314-1 1.561212+0 1.047882-1 2.316105+0 1.052813-1 2.673488+0 1.058656-1 2.883318+0 1.066100-1 2.938343+0 1.257739-1 2.285308+0 1.413622-1 1.898965+0 1.629071-1 1.514330+0 1.815125-1 1.273437+0 2.040099-1 1.056048+0 2.313265-1 8.641159-1 2.613627-1 7.130763-1 2.965018-1 5.859947-1 3.356611-1 4.861243-1 3.793748-1 4.059859-1 4.315191-1 3.377962-1 4.914414-1 2.825913-1 5.649251-1 2.354020-1 6.541086-1 1.961585-1 7.717915-1 1.615895-1 8.976871-1 1.370390-1 1.120601+0 1.082746-1 1.286622+0 9.253157-2 1.477239+0 7.907755-2 1.696589+0 6.755854-2 1.947381+0 5.775369-2 2.258160+0 4.882415-2 2.688134+0 4.002771-2 3.086391+0 3.420771-2 3.543651+0 2.923393-2 4.068655+0 2.498334-2 4.671441+0 2.135078-2 5.363532+0 1.824640-2 6.158159+0 1.559338-2 7.087074+0 1.329232-2 8.118035+0 1.138851-2 9.320751+0 9.732629-3 9.760024+0 9.236014-3 1.000000+1 1.923577-2 1 88000 7 0 2.260000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-8.726640+1 1.662665-6-8.391401+1 1.837568-6-7.931591+1 1.897470-6-7.386295+1 1.920769-6-6.829401+1 1.930489-6-6.305307+1 1.951429-6-4.716360+1 1.956182-6-4.572788+1 1.960934-6-4.722802+1 1.965241-6-5.188025+1 1.969102-6-5.881961+1 1.973706-6-6.991093+1 1.978636-6-8.392082+1 1.983283-6-7.912222+1 1.989263-6-6.538667+1 1.994201-6-5.842094+1 1.999399-6-5.560079+1 2.005636-6-5.700134+1 2.031797-6-7.660567+1 2.054623-6-8.364579+1 2.084378-6-8.762718+1 2.169371-6-7.580231+1 2.197946-6-6.813119+1 2.214586-6-5.991764+1 2.223112-6-5.246465+1 2.229138-6-4.372822+1 2.235616-6-3.593654+1 2.242463-6-2.565863+1 2.247940-6-1.868340+1 2.249138-6-1.756032+1 2.253418-6-1.488392+1 2.255514-6-1.486493+1 2.258210-6-1.615591+1 2.260093-6-1.794177+1 2.262340-6-2.140310+1 2.265057-6-2.763505+1 2.267432-6-3.424612+1 2.269165-6-4.052714+1 2.274101-6-6.094662+1 2.279547-6-8.794963+1 2.281966-6-7.455137+1 2.285769-6-5.562289+1 2.287504-6-4.741765+1 2.292059-6-2.899849+1 2.293604-6-2.402297+1 2.296552-6-1.616396+1 2.297237-6-1.453158+1 2.298435-6-1.216001+1 2.299334-6-1.066060+1 2.300682-6-8.822048+0 2.301356-6-8.094230+0 2.303399-6-6.648106+0 2.304426-6-6.141746+0 2.305967-6-5.802316+0 2.306737-6-5.878293+0 2.310246-6-7.771127+0 2.311615-6-8.746664+0 2.312300-6-9.407761+0 2.313669-6-1.135487+1 2.317264-6-1.551770+1 2.325822-6-2.808010+1 2.334209-6-3.837011+1 2.336511-6-4.232357+1 2.342939-6-4.864912+1 2.355574-6-5.603624+1 2.376023-6-6.287024+1 2.410929-6-6.910784+1 2.480445-6-7.487177+1 2.651378-6-7.996745+1 3.404898-6-8.679076+1 3.488536-6-8.784939+1 3.523236-6-8.743329+1 3.531993-6-8.762944+1 3.575568-6-7.875775+1 3.607764-6-7.916127+1 3.678815-6-8.264178+1 4.010320-6-8.570097+1 4.081269-6-8.280531+1 4.258364-6-8.493786+1 4.680910-6-8.480005+1 9.926106-6-8.779494+1 1.265009-5-8.252480+1 1.375671-5-7.612476+1 1.433026-5-6.850985+1 1.463829-5-6.056920+1 1.482039-5-5.258513+1 1.492175-5-4.573120+1 1.497788-5-3.997764+1 1.504235-5-3.248409+1 1.518973-5-1.141296+1 1.524499-5-4.246241+0 1.526341-5-1.597954+0 1.527012-5-5.275393-1 1.528019-5 1.583982+0 1.528522-5 2.925068+0 1.528773-5 3.733589+0 1.529275-5 5.899304+0 1.529650-5 7.013741+0 1.530026-5 7.837066+0 1.531868-5 1.123677+1 1.532789-5 1.271808+1 1.534420-5 1.484211+1 1.536019-5 1.792249+1 1.537022-5 2.079454+1 1.539904-5 2.786921+1 1.540315-5 2.931828+1 1.544864-5 4.159982+1 1.545760-5 4.300123+1 1.548805-5 4.588121+1 1.550062-5 4.522547+1 1.551858-5 4.143210+1 1.553301-5 3.639569+1 1.554834-5 2.902979+1 1.555927-5 2.271995+1 1.556821-5 1.680427+1 1.557491-5 1.184451+1 1.557993-5 7.782682+0 1.558370-5 4.511119+0 1.558935-5-8.525745-1 1.559218-5-3.823516+0 1.559359-5-5.431018+0 1.559731-5-1.013994+1 1.561889-5-3.438340+1 1.562912-5-4.753013+1 1.563781-5-6.081874+1 1.565951-5-8.986465+1 1.566969-5-7.361880+1 1.568290-5-5.434439+1 1.570271-5-2.782074+1 1.570887-5-1.820805+1 1.571300-5-1.270931+1 1.571660-5-8.210307+0 1.574187-5 2.111486+1 1.574394-5 2.381259+1 1.575171-5 3.186449+1 1.576494-5 4.286730+1 1.578687-5 5.657829+1 1.580813-5 6.564964+1 1.582854-5 7.075871+1 1.584986-5 7.181627+1 1.588771-5 6.418612+1 1.592593-5 4.989115+1 1.597238-5 2.927248+1 1.599406-5 2.116707+1 1.602413-5 1.075010+1 1.603354-5 7.046020+0 1.603825-5 4.944238+0 1.604060-5 3.759535+0 1.604493-5 1.041219+0 1.604864-5-7.867399-1 1.605513-5-3.477058+0 1.606486-5-6.911934+0 1.607460-5-9.908461+0 1.608412-5-1.254082+1 1.610077-5-1.662640+1 1.613200-5-2.302437+1 1.616976-5-2.927862+1 1.623010-5-3.711140+1 1.632266-5-4.608173+1 1.646251-5-5.611833+1 1.664441-5-6.566416+1 1.678588-5-6.884109+1 1.694450-5-7.098942+1 1.719438-5-8.214755+1 1.729049-5-8.057194+1 1.745067-5-6.963425+1 1.753447-5-6.770797+1 1.766702-5-7.172039+1 1.783842-5-7.600500+1 1.829026-5-7.605032+1 2.000129-5-8.599581+1 2.033238-5-8.899153+1 2.075300-5-7.967537+1 2.096173-5-7.061284+1 2.106547-5-6.261064+1 2.111602-5-5.587163+1 2.115459-5-4.954626+1 2.122206-5-4.006328+1 2.128338-5-2.982496+1 2.133536-5-2.247415+1 2.134602-5-2.142694+1 2.138186-5-1.881276+1 2.140174-5-1.860741+1 2.142546-5-1.989850+1 2.144629-5-2.203037+1 2.146649-5-2.530666+1 2.148759-5-3.016457+1 2.152853-5-4.329737+1 2.154844-5-5.180003+1 2.158290-5-6.852438+1 2.161864-5-8.845767+1 2.166240-5-6.261913+1 2.168988-5-4.733924+1 2.170572-5-3.855877+1 2.174975-5-1.821019+1 2.175950-5-1.451673+1 2.176804-5-1.166587+1 2.177551-5-9.398720+0 2.178858-5-5.864764+0 2.179838-5-3.536153+0 2.181308-5-5.096267-1 2.182778-5 2.007183+0 2.183654-5 3.265067+0 2.185185-5 4.996080+0 2.186334-5 5.907568+0 2.187195-5 6.361057+0 2.188488-5 6.620563+0 2.189134-5 6.511374+0 2.192379-5 4.419761+0 2.193678-5 3.366485+0 2.194328-5 2.656523+0 2.194978-5 1.638548+0 2.195627-5 5.730396-1 2.197902-5-2.320526+0 2.199039-5-3.885681+0 2.199607-5-4.781726+0 2.200176-5-5.904614+0 2.206273-5-1.598584+1 2.214170-5-2.679986+1 2.217916-5-3.348612+1 2.222904-5-3.897356+1 2.230812-5-4.487700+1 2.244880-5-5.176520+1 2.268264-5-5.901192+1 2.307396-5-6.623959+1 2.346033-5-7.072823+1 2.383405-5-6.641992+1 2.432051-5-6.884093+1 2.951209-5-7.292433+1 5.209028-5-8.213263+1 6.034517-5-8.870941+1 6.622257-5-8.283588+1 6.912665-5-7.546993+1 7.074587-5-6.687773+1 7.154118-5-5.942512+1 7.222532-5-4.957593+1 7.260654-5-4.183308+1 7.289321-5-3.376494+1 7.304645-5-2.781160+1 7.320271-5-2.006490+1 7.329982-5-1.407234+1 7.336287-5-9.544958+0 7.354001-5 4.495345+0 7.362633-5 1.112106+1 7.374802-5 2.038721+1 7.399474-5 3.948255+1 7.411526-5 4.678759+1 7.415359-5 4.828982+1 7.430276-5 5.100004+1 7.438650-5 4.893701+1 7.447948-5 4.351437+1 7.457777-5 3.449858+1 7.462812-5 2.847998+1 7.466637-5 2.318989+1 7.471545-5 1.533809+1 7.474731-5 9.404986+0 7.476324-5 6.068579+0 7.477121-5 4.244887+0 7.477917-5 2.153055+0 7.479252-5-1.247676+0 7.489259-5-2.362095+1 7.495044-5-3.780748+1 7.498738-5-4.850684+1 7.501301-5-5.716263+1 7.517131-5-1.021518+2 7.519733-5-1.115659+2 7.540938-5-5.223359+1 7.548387-5-3.490818+1 7.557176-5-1.653645+1 7.559237-5-1.163329+1 7.560823-5-8.371609+0 7.563896-5-2.842707+0 7.566777-5 1.756349+0 7.569478-5 5.660270+0 7.572010-5 9.020387+0 7.576757-5 1.460565+1 7.580911-5 1.880693+1 7.587726-5 2.435939+1 7.593291-5 2.772631+1 7.600596-5 3.047292+1 7.607640-5 3.097527+1 7.622066-5 2.632605+1 7.626092-5 2.391201+1 7.636885-5 1.693830+1 7.649007-5 7.153281+0 7.657469-5 1.858930-3 7.658859-5-1.177837+0 7.666902-5-8.145349+0 7.682978-5-2.126909+1 7.713913-5-4.575824+1 7.728551-5-5.493157+1 7.761725-5-7.026677+1 7.836066-5-9.888428+1 7.871445-5-8.012267+1 7.929056-5-3.726062+1 7.936128-5-3.156365+1 7.950878-5-2.072394+1 7.962414-5-1.351399+1 7.965526-5-1.198973+1 7.975704-5-7.620517+0 7.978213-5-6.905037+0 7.982603-5-6.327245+0 7.985896-5-6.296249+0 7.990834-5-6.768560+0 7.995773-5-7.668848+0 7.998204-5-8.286296+0 8.002760-5-1.010979+1 8.006747-5-1.224278+1 8.010236-5-1.449964+1 8.015959-5-1.900236+1 8.022562-5-2.552401+1 8.029480-5-3.414596+1 8.034009-5-4.133383+1 8.050125-5-7.100565+1 8.063604-5-1.018171+2 8.072124-5-8.142174+1 8.090860-5-3.586956+1 8.092689-5-3.077794+1 8.094952-5-2.536929+1 8.105157-5-3.570350+0 8.110789-5 8.516107+0 8.111548-5 1.044040+1 8.113019-5 1.361379+1 8.115776-5 1.891629+1 8.122411-5 2.992991+1 8.137580-5 5.097440+1 8.146378-5 5.989696+1 8.160972-5 6.935806+1 8.172465-5 7.227426+1 8.190187-5 6.899461+1 8.203598-5 6.291281+1 8.228147-5 4.797109+1 8.242846-5 3.852966+1 8.259022-5 2.910991+1 8.279936-5 1.556775+1 8.289451-5 1.065713+1 8.298825-5 6.510151+0 8.305118-5 4.067832+0 8.309287-5 2.574113+0 8.312441-5 1.504357+0 8.314786-5 7.368405-1 8.316568-5 1.714328-1 8.318196-5-3.322898-1 8.321841-5-1.418714+0 8.326040-5-2.610549+0 8.339686-5-6.013409+0 8.353176-5-8.878897+0 8.366705-5-1.138837+1 8.393683-5-1.555271+1 8.433953-5-2.032048+1 8.487331-5-2.494867+1 8.570666-5-2.988979+1 8.685825-5-3.423338+1 8.833147-5-3.775509+1 9.169821-5-4.212582+1 9.840919-5-4.643264+1 1.144567-4-5.138913+1 1.589560-4-5.948101+1 1.934872-4-6.259044+1 2.206967-4-6.382259+1 2.691535-4-6.900998+1 2.796218-4-7.250787+1 2.851585-4-7.838798+1 2.870339-4-7.502421+1 2.897923-4-6.533089+1 2.915037-4-6.376081+1 2.957918-4-6.701110+1 3.002396-4-6.515617+1 3.101717-4-6.952379+1 3.591218-4-7.915806+1 3.935501-4-8.030088+1 4.636806-4-7.240621+1 5.464024-4-6.274202+1 5.825703-4-6.091855+1 5.989135-4-6.249796+1 6.088477-4-5.721929+1 6.399251-4-5.580501+1 6.763263-4-5.083058+1 7.527169-4-4.481150+1 8.344327-4-4.084962+1 8.721332-4-4.034663+1 8.984781-4-3.794617+1 9.803614-4-3.415672+1 1.153753-3-2.938845+1 1.222052-3-2.802055+1 1.380818-3-2.537654+1 1.623561-3-2.330473+1 1.938228-3-2.243592+1 2.289044-3-2.302245+1 2.599655-3-2.500683+1 2.809240-3-2.773710+1 2.942727-3-3.097748+1 3.017840-3-3.437503+1 3.061152-3-3.838861+1 3.103207-3-4.389106+1 3.124476-3-4.376564+1 3.172664-3-3.881256+1 3.204502-3-3.793996+1 3.251641-3-3.903675+1 3.274246-3-3.764130+1 3.333859-3-3.096100+1 3.393321-3-2.752897+1 3.486881-3-2.443955+1 3.601883-3-2.221878+1 3.691867-3-2.163670+1 3.765653-3-2.248646+1 3.798562-3-2.166145+1 3.854322-3-1.927055+1 3.937421-3-1.722391+1 4.089296-3-1.496711+1 4.277145-3-1.328486+1 4.397489-3-1.282068+1 4.491007-3-1.284848+1 4.603483-3-1.145767+1 4.719015-3-1.081571+1 4.801861-3-1.059682+1 4.937637-3-9.255192+0 5.150000-3-8.022177+0 5.448162-3-6.859785+0 5.855246-3-5.814459+0 6.332030-3-5.041177+0 6.850222-3-4.540316+0 7.585775-3-4.210802+0 8.499141-3-4.106302+0 9.674422-3-4.298415+0 1.105506-2-4.768860+0 1.252127-2-5.548069+0 1.359530-2-6.416627+0 1.433406-2-7.364739+0 1.477281-2-8.294659+0 1.504473-2-9.293136+0 1.520294-2-1.039397+1 1.538018-2-1.213897+1 1.546877-2-1.239046+1 1.557226-2-1.172198+1 1.575993-2-9.823203+0 1.592899-2-8.816788+0 1.619679-2-7.942228+0 1.658647-2-7.234830+0 1.711872-2-6.789126+0 1.764117-2-6.746503+0 1.805539-2-7.099745+0 1.827271-2-7.674582+0 1.850297-2-8.542574+0 1.862298-2-8.518304+0 1.889142-2-7.567038+0 1.928007-2-7.001828+0 1.967152-2-5.635164+0 2.002106-2-4.893472+0 2.054755-2-4.150362+0 2.130007-2-3.411697+0 2.187762-2-2.987809+0 2.247330-2-2.638213+0 2.354041-2-2.168011+0 2.462781-2-1.821721+0 2.556102-2-1.594964+0 2.690476-2-1.354673+0 2.808937-2-1.200961+0 2.993987-2-1.039203+0 3.190758-2-9.403162-1 3.489413-2-8.797912-1 3.869009-2-8.792450-1 4.531201-2-9.837421-1 7.151286-2-1.610565+0 8.353677-2-1.957536+0 9.149616-2-2.284339+0 9.653994-2-2.615657+0 9.964236-2-2.963521+0 1.014629-1-3.327771+0 1.025575-1-3.748920+0 1.038773-1-4.486972+0 1.043805-1-4.555582+0 1.050630-1-4.298779+0 1.063454-1-3.506348+0 1.072712-1-3.142980+0 1.089166-1-2.757113+0 1.114315-1-2.390413+0 1.151878-1-2.051066+0 1.198670-1-1.771431+0 1.257739-1-1.541783+0 1.345146-1-1.330128+0 1.444936-1-1.182700+0 1.584537-1-1.062600+0 1.763452-1-9.890925-1 2.040099-1-9.502713-1 2.723991-1-9.706072-1 4.714520-1-1.077071+0 8.099585-1-1.141028+0 2.451607+0-1.172927+0 7.403736+0-1.180127+0 1.000000+1-1.178253+0 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.916356-1 1.037423-6 2.352805-1 1.053603-6 2.573375-1 1.068772-6 2.801336-1 1.082992-6 3.036591-1 1.096324-6 3.280730-1 1.121322-6 3.803002-1 1.143194-6 4.345749-1 1.162333-6 4.908466-1 1.179079-6 5.487943-1 1.193732-6 6.080671-1 1.206554-6 6.682901-1 1.217772-6 7.291193-1 1.227589-6 7.902152-1 1.236178-6 8.512310-1 1.243694-6 9.118343-1 1.250270-6 9.716465-1 1.256024-6 1.030204+0 1.266094-6 1.150104+0 1.273646-6 1.259132+0 1.279310-6 1.355463+0 1.283559-6 1.438218+0 1.289931-6 1.584264+0 1.296303-6 1.766422+0 1.299494-6 1.876645+0 1.302685-6 2.004205+0 1.305875-6 2.154408+0 1.309066-6 2.334752+0 1.312257-6 2.555630+0 1.315447-6 2.830955+0 1.318638-6 3.178427+0 1.321829-6 3.619088+0 1.323424-6 3.881518+0 1.325019-6 4.175851+0 1.326615-6 4.504792+0 1.329805-6 5.275643+0 1.336671-6 7.476317+0 1.339377-6 8.529653+0 1.340973-6 9.186386+0 1.344249-6 1.058025+1 1.344659-6 1.075607+1 1.347533-6 1.196526+1 1.348662-6 1.241970+1 1.351200-6 1.336542+1 1.352542-6 1.380898+1 1.353638-6 1.413488+1 1.355076-6 1.450581+1 1.356001-6 1.470664+1 1.356926-6 1.487560+1 1.358565-6 1.509130+1 1.359881-6 1.518264+1 1.361082-6 1.519950+1 1.362519-6 1.513455+1 1.364058-6 1.496164+1 1.364456-6 1.489977+1 1.366457-6 1.448442+1 1.367772-6 1.412125+1 1.368944-6 1.374155+1 1.370498-6 1.316411+1 1.371674-6 1.267761+1 1.373961-6 1.163056+1 1.375249-6 1.099582+1 1.376056-6 1.058620+1 1.377299-6 9.942638+0 1.378610-6 9.253898+0 1.379880-6 8.584267+0 1.381199-6 7.895018+0 1.382623-6 7.164916+0 1.383662-6 6.646165+0 1.385304-6 5.858009+0 1.386793-6 5.183914+0 1.387922-6 4.701569+0 1.389076-6 4.236335+0 1.390231-6 3.800953+0 1.393618-6 2.703566+0 1.394842-6 2.373524+0 1.397621-6 1.751815+0 1.399920-6 1.363657+0 1.401178-6 1.196043+0 1.402294-6 1.071920+0 1.403175-6 9.896030-1 1.403992-6 9.249797-1 1.404726-6 8.760244-1 1.405199-6 8.489965-1 1.405671-6 8.253417-1 1.406104-6 8.065695-1 1.406861-6 7.801544-1 1.407428-6 7.655487-1 1.408280-6 7.516804-1 1.409131-6 7.470716-1 1.410861-6 7.645362-1 1.412591-6 8.153754-1 1.414321-6 8.968175-1 1.415186-6 9.482406-1 1.416051-6 1.006419+0 1.417634-6 1.129487+0 1.421621-6 1.525145+0 1.422971-6 1.683393+0 1.424269-6 1.845475+0 1.425567-6 2.016085+0 1.429058-6 2.507090+0 1.429495-6 2.570734+0 1.432550-6 3.020583+0 1.433750-6 3.195875+0 1.436042-6 3.520046+0 1.437495-6 3.714113+0 1.438189-6 3.802472+0 1.439229-6 3.928896+0 1.440270-6 4.047019+0 1.441784-6 4.201889+0 1.443243-6 4.329688+0 1.443730-6 4.367158+0 1.445244-6 4.466120+0 1.446825-6 4.539353+0 1.448599-6 4.582730+0 1.450117-6 4.586229+0 1.450725-6 4.578859+0 1.452459-6 4.530464+0 1.454065-6 4.450382+0 1.454891-6 4.396514+0 1.456545-6 4.264260+0 1.458155-6 4.106758+0 1.458829-6 4.033239+0 1.461137-6 3.751879+0 1.462685-6 3.542196+0 1.463813-6 3.381281+0 1.464893-6 3.222185+0 1.466315-6 3.007973+0 1.467848-6 2.773700+0 1.469209-6 2.565532+0 1.470630-6 2.350458+0 1.471395-6 2.236614+0 1.472922-6 2.014539+0 1.474450-6 1.801545+0 1.475487-6 1.663175+0 1.476714-6 1.506534+0 1.478160-6 1.332908+0 1.478569-6 1.286005+0 1.480717-6 1.056595+0 1.482061-6 9.277564-1 1.482777-6 8.637056-1 1.483851-6 7.735982-1 1.484925-6 6.905405-1 1.486453-6 5.841989-1 1.488106-6 4.839846-1 1.489698-6 4.011588-1 1.491611-6 3.179086-1 1.494774-6 2.142313-1 1.496970-6 1.632056-1 1.497906-6 1.458429-1 1.499151-6 1.263381-1 1.499772-6 1.180125-1 1.500391-6 1.105597-1 1.501010-6 1.039239-1 1.501627-6 9.805214-2 1.502243-6 9.289406-2 1.503472-6 8.452326-2 1.504696-6 7.847029-2 1.505916-6 7.442040-2 1.507131-6 7.209509-2 1.508341-6 7.124946-2 1.509547-6 7.166933-2 1.510747-6 7.316837-2 1.513139-6 7.879466-2 1.515513-6 8.708352-2 1.517868-6 9.726813-2 1.520204-6 1.087922-1 1.522522-6 1.212550-1 1.524823-6 1.343692-1 1.529387-6 1.618951-1 1.533880-6 1.902143-1 1.538303-6 2.187709-1 1.542656-6 2.472679-1 1.546942-6 2.755452-1 1.555379-6 3.315819-1 1.563553-6 3.861527-1 1.571471-6 4.392627-1 1.579142-6 4.910077-1 1.594005-6 5.925090-1 1.607938-6 6.899869-1 1.634063-6 8.845969-1 1.708594-6 1.529526+0 1.739788-6 1.864657+0 1.759075-6 2.108725+0 1.773541-6 2.319217+0 1.784390-6 2.501016+0 1.792527-6 2.658117+0 1.804733-6 2.942472+0 1.821411-6 3.423657+0 1.825883-6 3.552365+0 1.830355-6 3.667348+0 1.834827-6 3.759319+0 1.839299-6 3.819452+0 1.841535-6 3.835356+0 1.843771-6 3.841052+0 1.846007-6 3.836305+0 1.848244-6 3.821199+0 1.850480-6 3.796155+0 1.852716-6 3.761930+0 1.857188-6 3.670578+0 1.861660-6 3.559088+0 1.867250-6 3.414207+0 1.871722-6 3.312712+0 1.875076-6 3.253896+0 1.877313-6 3.225362+0 1.879549-6 3.206422+0 1.881785-6 3.197626+0 1.884021-6 3.199219+0 1.886257-6 3.211156+0 1.888493-6 3.233129+0 1.892965-6 3.304898+0 1.897437-6 3.408454+0 1.901909-6 3.536371+0 1.922168-6 4.245238+0 1.985441-6 6.525015+0 2.001418-6 7.192582+0 2.025383-6 8.346241+0 2.054392-6 1.002180+1 2.074569-6 1.142772+1 2.094746-6 1.309444+1 2.114923-6 1.508911+1 2.130055-6 1.685730+1 2.145188-6 1.891901+1 2.162200-6 2.167482+1 2.173419-6 2.380749+1 2.183937-6 2.608824+1 2.193798-6 2.852500+1 2.203043-6 3.112570+1 2.211710-6 3.389822+1 2.219835-6 3.685052+1 2.227452-6 3.999078+1 2.234593-6 4.332743+1 2.241288-6 4.686931+1 2.247565-6 5.062581+1 2.253449-6 5.460709+1 2.259755-6 5.947188+1 2.264137-6 6.329007+1 2.269226-6 6.826914+1 2.273531-6 7.302777+1 2.277792-6 7.833705+1 2.281787-6 8.397015+1 2.285532-6 8.995312+1 2.292555-6 1.035593+2 2.298699-6 1.189908+2 2.304076-6 1.363512+2 2.308780-6 1.555710+2 2.312897-6 1.763959+2 2.316499-6 1.984247+2 2.319650-6 2.211744+2 2.322408-6 2.441455+2 2.326932-6 2.889672+2 2.332013-6 3.515001+2 2.342747-6 5.338971+2 2.347476-6 6.376452+2 2.350357-6 7.077119+2 2.353239-6 7.825147+2 2.359003-6 9.438163+2 2.359724-6 9.648194+2 2.364767-6 1.114533+3 2.366748-6 1.173662+3 2.370531-6 1.284651+3 2.373458-6 1.366940+3 2.376295-6 1.441910+3 2.379222-6 1.512628+3 2.382059-6 1.573178+3 2.384580-6 1.619236+3 2.387518-6 1.662466+3 2.390884-6 1.696781+3 2.393766-6 1.712335+3 2.394770-6 1.714655+3 2.397632-6 1.712364+3 2.399746-6 1.702222+3 2.405381-6 1.641286+3 2.407179-6 1.612114+3 2.411407-6 1.527154+3 2.413636-6 1.474230+3 2.416641-6 1.395527+3 2.419568-6 1.312411+3 2.422405-6 1.227423+3 2.424927-6 1.149516+3 2.427561-6 1.066974+3 2.431051-6 9.577346+2 2.433933-6 8.691808+2 2.437175-6 7.729039+2 2.439697-6 7.013167+2 2.445461-6 5.512569+2 2.447442-6 5.045661+2 2.449333-6 4.624756+2 2.452665-6 3.942974+2 2.455908-6 3.352581+2 2.458442-6 2.939895+2 2.461831-6 2.451923+2 2.464004-6 2.175515+2 2.466125-6 1.931220+2 2.470171-6 1.529915+2 2.473968-6 1.222052+2 2.477532-6 9.852676+1 2.480876-6 8.023080+1 2.484065-6 6.580131+1 2.489856-6 4.569106+1 2.497255-6 2.849757+1 2.503352-6 1.923417+1 2.510041-6 1.243494+1 2.522285-6 5.541213+0 2.524686-6 4.741421+0 2.526487-6 4.228867+0 2.529189-6 3.585449+0 2.531891-6 3.076834+0 2.533449-6 2.838921+0 2.534617-6 2.685174+0 2.536370-6 2.492012+0 2.537246-6 2.411520+0 2.538123-6 2.341321+0 2.539712-6 2.239322+0 2.540292-6 2.209936+0 2.541308-6 2.168310+0 2.542831-6 2.128557+0 2.544355-6 2.115026+0 2.547471-6 2.164888+0 2.550587-6 2.313104+0 2.553702-6 2.554107+0 2.556818-6 2.883727+0 2.563050-6 3.797847+0 2.574406-6 6.313586+0 2.581746-6 8.534354+0 2.587978-6 1.080999+1 2.594210-6 1.347336+1 2.600442-6 1.656238+1 2.607558-6 2.067326+1 2.614673-6 2.549797+1 2.619138-6 2.894324+1 2.627545-6 3.645993+1 2.633980-6 4.329131+1 2.653287-6 7.170493+1 2.659723-6 8.494741+1 2.666159-6 1.009721+2 2.672594-6 1.206649+2 2.675779-6 1.321440+2 2.680622-6 1.523903+2 2.685466-6 1.768467+2 2.688951-6 1.977336+2 2.692244-6 2.205768+2 2.695537-6 2.470417+2 2.698830-6 2.778261+2 2.702123-6 3.137459+2 2.705417-6 3.557436+2 2.708710-6 4.048928+2 2.711667-6 4.561258+2 2.716104-6 5.477360+2 2.722523-6 7.182425+2 2.732584-6 1.101614+3 2.738657-6 1.417556+3 2.743039-6 1.690594+3 2.745632-6 1.870838+3 2.748226-6 2.065099+3 2.752223-6 2.391598+3 2.753555-6 2.507542+3 2.760300-6 3.144312+3 2.761143-6 3.229164+3 2.767514-6 3.898847+3 2.769940-6 4.163020+3 2.775178-6 4.738127+3 2.778495-6 5.097274+3 2.780436-6 5.302575+3 2.783620-6 5.627544+3 2.787053-6 5.955593+3 2.790102-6 6.221794+3 2.793470-6 6.482510+3 2.794452-6 6.551092+3 2.798491-6 6.793969+3 2.801614-6 6.934935+3 2.805427-6 7.047328+3 2.808803-6 7.089655+3 2.810900-6 7.088482+3 2.814254-6 7.043125+3 2.816602-6 6.980223+3 2.821420-6 6.775077+3 2.824112-6 6.619244+3 2.825928-6 6.499058+3 2.828586-6 6.303132+3 2.831168-6 6.092650+3 2.834487-6 5.797382+3 2.837438-6 5.516297+3 2.840283-6 5.232965+3 2.844604-6 4.788455+3 2.847976-6 4.436857+3 2.851770-6 4.044025+3 2.854720-6 3.744794+3 2.861465-6 3.096980+3 2.865996-6 2.699470+3 2.868209-6 2.518188+3 2.873267-6 2.137623+3 2.879860-6 1.713603+3 2.892315-6 1.121418+3 2.897028-6 9.588272+2 2.901632-6 8.267900+2 2.906091-6 7.205062+2 2.910412-6 6.347410+2 2.914597-6 5.652130+2 2.918651-6 5.084846+2 2.922579-6 4.618341+2 2.926384-6 4.231280+2 2.933756-6 3.624535+2 2.940667-6 3.184302+2 2.947147-6 2.852630+2 2.953221-6 2.594469+2 2.958916-6 2.388042+2 2.964255-6 2.219342+2 2.974265-6 1.953123+2 2.983024-6 1.761181+2 2.990688-6 1.617150+2 2.997394-6 1.505839+2 3.009130-6 1.337347+2 3.017932-6 1.228461+2 3.031135-6 1.086605+2 3.044337-6 9.649043+1 3.059324-6 8.469212+1 3.066817-6 7.956886+1 3.073526-6 7.544761+1 3.081054-6 7.138501+1 3.089297-6 6.766517+1 3.093256-6 6.615930+1 3.097216-6 6.483652+1 3.101235-6 6.367783+1 3.108560-6 6.201674+1 3.113291-6 6.122334+1 3.120086-6 6.039920+1 3.126763-6 5.985572+1 3.146165-6 5.868654+1 3.154505-6 5.790810+1 3.160392-6 5.715028+1 3.166280-6 5.620271+1 3.171723-6 5.516254+1 3.179216-6 5.350534+1 3.186709-6 5.165160+1 3.193974-6 4.974676+1 3.219444-6 4.327012+1 3.231274-6 4.074723+1 3.239093-6 3.928465+1 3.254730-6 3.675708+1 3.287548-6 3.227131+1 3.301642-6 3.040448+1 3.317279-6 2.832775+1 3.332917-6 2.627198+1 3.365304-6 2.230422+1 3.373567-6 2.143164+1 3.381829-6 2.065744+1 3.390092-6 2.000485+1 3.398355-6 1.949255+1 3.406618-6 1.912971+1 3.413158-6 1.894620+1 3.423144-6 1.881974+1 3.431407-6 1.881830+1 3.447933-6 1.890317+1 3.456196-6 1.889324+1 3.462393-6 1.882957+1 3.467041-6 1.874232+1 3.474013-6 1.854109+1 3.480985-6 1.825275+1 3.489248-6 1.780275+1 3.497540-6 1.724743+1 3.506044-6 1.659294+1 3.514548-6 1.588017+1 3.522299-6 1.520500+1 3.545186-6 1.329701+1 3.554373-6 1.266186+1 3.562790-6 1.218917+1 3.567170-6 1.199125+1 3.571527-6 1.182936+1 3.575885-6 1.170334+1 3.581203-6 1.159820+1 3.585192-6 1.155353+1 3.591175-6 1.153785+1 3.597158-6 1.157679+1 3.608093-6 1.175306+1 3.630341-6 1.222404+1 3.638054-6 1.232599+1 3.643312-6 1.235958+1 3.651199-6 1.234823+1 3.659086-6 1.226180+1 3.668093-6 1.207962+1 3.676593-6 1.184183+1 3.683779-6 1.160506+1 3.694515-6 1.121543+1 3.707695-6 1.071595+1 3.741490-6 9.477301+0 3.759426-6 8.848498+0 3.791277-6 7.747899+0 3.806044-6 7.241046+0 3.832509-6 6.341307+0 3.841556-6 6.041177+0 3.864327-6 5.330767+0 3.879960-6 4.903015+0 3.899828-6 4.442420+0 3.918160-6 4.069091+0 3.927710-6 3.872771+0 3.936655-6 3.676647+0 3.946403-6 3.443567+0 3.952258-6 3.293437+0 3.960479-6 3.072457+0 3.968554-6 2.849965+0 3.987506-6 2.365661+0 3.994952-6 2.216216+0 3.999636-6 2.140626+0 4.006573-6 2.059524+0 4.007970-6 2.048032+0 4.012774-6 2.021724+0 4.017749-6 2.017007+0 4.019291-6 2.020380+0 4.022293-6 2.033718+0 4.026035-6 2.063227+0 4.030082-6 2.111921+0 4.032306-6 2.146466+0 4.036197-6 2.221036+0 4.039116-6 2.289559+0 4.041305-6 2.348600+0 4.044589-6 2.450522+0 4.047872-6 2.570124+0 4.050204-6 2.667029+0 4.053703-6 2.833357+0 4.057201-6 3.028286+0 4.058396-6 3.102238+0 4.066882-6 3.757273+0 4.070589-6 4.129825+0 4.074411-6 4.582023+0 4.078333-6 5.128845+0 4.082363-6 5.791390+0 4.086247-6 6.539944+0 4.093292-6 8.215816+0 4.107348-6 1.305184+1 4.111793-6 1.505612+1 4.122219-6 2.071720+1 4.126715-6 2.356611+1 4.133695-6 2.842930+1 4.137748-6 3.146626+1 4.142484-6 3.517265+1 4.147245-6 3.902027+1 4.151567-6 4.257034+1 4.155692-6 4.596311+1 4.160013-6 4.947217+1 4.163467-6 5.220758+1 4.168314-6 5.588800+1 4.172970-6 5.918565+1 4.175265-6 6.070659+1 4.179337-6 6.320621+1 4.183711-6 6.557581+1 4.193098-6 6.939692+1 4.197255-6 7.048865+1 4.203901-6 7.143414+1 4.208580-6 7.151066+1 4.213786-6 7.104264+1 4.217133-6 7.044938+1 4.220480-6 6.964158+1 4.225577-6 6.803241+1 4.230492-6 6.609590+1 4.232130-6 6.537644+1 4.237511-6 6.279107+1 4.242623-6 6.007561+1 4.245023-6 5.873404+1 4.252222-6 5.453754+1 4.262268-6 4.851232+1 4.264779-6 4.701799+1 4.277964-6 3.953750+1 4.299669-6 2.943873+1 4.304385-6 2.767386+1 4.313186-6 2.477903+1 4.320295-6 2.279168+1 4.332446-6 2.002253+1 4.342000-6 1.830335+1 4.355783-6 1.635830+1 4.369231-6 1.489742+1 4.386733-6 1.341658+1 4.400655-6 1.245762+1 4.418265-6 1.142013+1 4.465355-6 9.158242+0 4.480435-6 8.514597+0 4.495566-6 7.885392+0 4.517407-6 6.990698+0 4.533074-6 6.359786+0 4.555721-6 5.517955+0 4.566547-6 5.190884+0 4.572450-6 5.048966+0 4.578353-6 4.941128+0 4.583907-6 4.877305+0 4.588862-6 4.856457+0 4.604772-6 5.074459+0 4.616050-6 5.547467+0 4.620345-6 5.806003+0 4.628545-6 6.424223+0 4.632924-6 6.821027+0 4.641283-6 7.701216+0 4.654868-6 9.425595+0 4.663563-6 1.066236+1 4.666965-6 1.116107+1 4.672911-6 1.203758+1 4.679780-6 1.303518+1 4.686070-6 1.390909+1 4.694666-6 1.499828+1 4.697297-6 1.529991+1 4.707120-6 1.626198+1 4.711447-6 1.659332+1 4.719707-6 1.705234+1 4.725514-6 1.723323+1 4.728828-6 1.728350+1 4.734628-6 1.728042+1 4.740158-6 1.717346+1 4.747134-6 1.690397+1 4.752027-6 1.663373+1 4.760447-6 1.603469+1 4.763254-6 1.580286+1 4.774425-6 1.476083+1 4.785228-6 1.363802+1 4.788837-6 1.325198+1 4.805755-6 1.146832+1 4.825370-6 9.655323+0 4.831308-6 9.193364+0 4.841724-6 8.500827+0 4.849124-6 8.106485+0 4.861001-6 7.651624+0 4.866939-6 7.507572+0 4.872878-6 7.418460+0 4.875847-6 7.394065+0 4.884755-6 7.398031+0 4.888548-6 7.432927+0 4.895185-6 7.537320+0 4.900164-6 7.648163+0 4.909498-6 7.917645+0 4.932263-6 8.754150+0 4.944140-6 9.178513+0 4.947109-6 9.273564+0 4.956017-6 9.520466+0 4.959813-6 9.605547+0 4.965507-6 9.708028+0 4.971202-6 9.778960+0 4.977290-6 9.819475+0 4.981856-6 9.826491+0 4.992129-6 9.775113+0 5.003525-6 9.629144+0 5.015402-6 9.413835+0 5.039156-6 8.953753+0 5.053147-6 8.747273+0 5.061541-6 8.660364+0 5.073939-6 8.582537+0 5.086336-6 8.554666+0 5.104284-6 8.567261+0 5.133061-6 8.606194+0 5.161386-6 8.588770+0 5.258534-6 8.372793+0 5.296618-6 8.259098+0 5.353852-6 8.055073+0 5.379805-6 7.997284+0 5.410431-6 7.978534+0 5.463038-6 7.988374+0 5.494117-6 7.959824+0 5.639363-6 7.661279+0 6.327842-6 6.656718+0 6.879320-6 5.960743+0 7.416221-6 5.337812+0 7.842821-6 4.856381+0 8.223426-6 4.431616+0 8.685795-6 3.909681+0 9.013761-6 3.537741+0 9.225903-6 3.297145+0 9.425557-6 3.071658+0 9.720000-6 2.744498+0 9.940110-6 2.507651+0 1.014257-5 2.296284+0 1.033697-5 2.100095+0 1.060774-5 1.845303+0 1.084771-5 1.647372+0 1.097629-5 1.566562+0 1.104365-5 1.550316+0 1.105495-5 1.550283+0 1.120014-5 1.614434+0 1.130852-5 1.711120+0 1.145953-5 1.881834+0 1.162600-5 2.116562+0 1.178730-5 2.396508+0 1.194361-5 2.722615+0 1.205238-5 2.984957+0 1.217019-5 3.305508+0 1.231576-5 3.758484+0 1.245678-5 4.265808+0 1.264440-5 5.054408+0 1.285395-5 6.114573+0 1.321503-5 8.503828+0 1.347836-5 1.082925+1 1.364596-5 1.263448+1 1.380384-5 1.461328+1 1.393509-5 1.650588+1 1.411310-5 1.949004+1 1.423984-5 2.195715+1 1.436235-5 2.466572+1 1.451648-5 2.860281+1 1.466097-5 3.292908+1 1.479644-5 3.766145+1 1.492343-5 4.281308+1 1.504249-5 4.839472+1 1.515411-5 5.441688+1 1.525875-5 6.088722+1 1.535686-5 6.781079+1 1.544883-5 7.518976+1 1.553505-5 8.302010+1 1.563230-5 9.309917+1 1.569167-5 1.000129+2 1.576271-5 1.091716+2 1.582932-5 1.187618+2 1.589176-5 1.287639+2 1.599450-5 1.477288+2 1.605663-5 1.609887+2 1.615310-5 1.848748+2 1.623751-5 2.098267+2 1.631185-5 2.357462+2 1.638400-5 2.653387+2 1.643255-5 2.882619+2 1.648203-5 3.146384+2 1.652532-5 3.406688+2 1.656321-5 3.661106+2 1.663087-5 4.191743+2 1.667922-5 4.646676+2 1.671652-5 5.052962+2 1.677245-5 5.778726+2 1.680042-5 6.206654+2 1.682839-5 6.687307+2 1.686981-5 7.513196+2 1.691123-5 8.500218+2 1.695265-5 9.676078+2 1.701478-5 1.184383+3 1.708545-5 1.493890+3 1.712740-5 1.708426+3 1.716935-5 1.944140+3 1.722179-5 2.268563+3 1.729837-5 2.826271+3 1.732544-5 3.064472+3 1.735227-5 3.335208+3 1.737910-5 3.652595+3 1.742105-5 4.278060+3 1.743154-5 4.465497+3 1.746300-5 5.120235+3 1.747742-5 5.472850+3 1.750495-5 6.251465+3 1.754008-5 7.470785+3 1.761795-5 1.119102+4 1.765195-5 1.325638+4 1.765943-5 1.374234+4 1.770137-5 1.664268+4 1.771527-5 1.765361+4 1.774560-5 1.990075+4 1.775895-5 2.089188+4 1.777801-5 2.229227+4 1.779027-5 2.317363+4 1.781112-5 2.461925+4 1.783096-5 2.591018+4 1.784857-5 2.696686+4 1.786963-5 2.809572+4 1.789414-5 2.919399+4 1.791504-5 2.992289+4 1.792586-5 3.021949+4 1.794707-5 3.063165+4 1.796769-5 3.081172+4 1.797902-5 3.081670+4 1.800064-5 3.064222+4 1.801378-5 3.042032+4 1.804562-5 2.953803+4 1.806170-5 2.891956+4 1.807960-5 2.810906+4 1.809111-5 2.752619+4 1.811144-5 2.639233+4 1.813266-5 2.508834+4 1.815040-5 2.392514+4 1.817319-5 2.235837+4 1.819476-5 2.083049+4 1.821633-5 1.928611+4 1.824060-5 1.755985+4 1.825947-5 1.624463+4 1.830261-5 1.339725+4 1.833159-5 1.165058+4 1.834574-5 1.085429+4 1.837810-5 9.183476+3 1.841118-5 7.694309+3 1.850752-5 4.540752+3 1.853024-5 4.018578+3 1.855296-5 3.565476+3 1.857568-5 3.173734+3 1.859841-5 2.835919+3 1.862113-5 2.545040+3 1.864385-5 2.294663+3 1.866657-5 2.078971+3 1.868929-5 1.892796+3 1.871201-5 1.731611+3 1.873473-5 1.591504+3 1.878017-5 1.361676+3 1.882562-5 1.182427+3 1.887780-5 1.020426+3 1.891650-5 9.222314+2 1.896194-5 8.246605+2 1.901494-5 7.293583+2 1.905283-5 6.707568+2 1.909827-5 6.088434+2 1.914371-5 5.544284+2 1.918915-5 5.061681+2 1.932548-5 3.886905+2 1.941755-5 3.256724+2 1.957547-5 2.380496+2 1.967184-5 1.960778+2 1.972002-5 1.787394+2 1.976820-5 1.640503+2 1.979230-5 1.577199+2 1.981639-5 1.520571+2 1.984451-5 1.462609+2 1.986457-5 1.426330+2 1.988866-5 1.387883+2 1.991275-5 1.354453+2 1.994889-5 1.312137+2 2.000912-5 1.255765+2 2.010548-5 1.176059+2 2.016852-5 1.118979+2 2.023991-5 1.052348+2 2.028948-5 1.012976+2 2.033906-5 9.874434+1 2.034600-5 9.853572+1 2.039458-5 9.828980+1 2.041379-5 9.881482+1 2.043214-5 9.965051+1 2.046078-5 1.015846+2 2.047880-5 1.031652+2 2.051765-5 1.073685+2 2.059312-5 1.172369+2 2.063650-5 1.227524+2 2.068607-5 1.278170+2 2.070764-5 1.294090+2 2.074882-5 1.312037+2 2.076159-5 1.314090+2 2.078393-5 1.313639+2 2.080068-5 1.309990+2 2.082626-5 1.299219+2 2.085094-5 1.283384+2 2.088854-5 1.250610+2 2.093920-5 1.194738+2 2.100419-5 1.114817+2 2.107542-5 1.031758+2 2.112118-5 9.861201+1 2.116533-5 9.491199+1 2.121580-5 9.149122+1 2.129834-5 8.732155+1 2.148454-5 8.020616+1 2.157330-5 7.652577+1 2.166149-5 7.250186+1 2.176451-5 6.754374+1 2.190245-5 6.095000+1 2.217455-5 4.942034+1 2.234470-5 4.313929+1 2.244176-5 3.973172+1 2.252190-5 3.699199+1 2.258452-5 3.490295+1 2.267651-5 3.194206+1 2.287573-5 2.623585+1 2.294519-5 2.459455+1 2.298786-5 2.371063+1 2.301578-5 2.319209+1 2.304967-5 2.263426+1 2.308295-5 2.217250+1 2.310778-5 2.189033+1 2.313731-5 2.163246+1 2.316592-5 2.147306+1 2.319364-5 2.141453+1 2.322028-5 2.145872+1 2.324610-5 2.160744+1 2.327640-5 2.193285+1 2.330337-5 2.237813+1 2.332660-5 2.289497+1 2.333795-5 2.319659+1 2.336029-5 2.389351+1 2.338194-5 2.471083+1 2.340290-5 2.565022+1 2.342321-5 2.671307+1 2.344289-5 2.790050+1 2.346195-5 2.921340+1 2.348700-5 3.120782+1 2.349831-5 3.221807+1 2.353297-5 3.579211+1 2.356546-5 3.989138+1 2.359593-5 4.451489+1 2.362448-5 4.965991+1 2.365647-5 5.652937+1 2.367636-5 6.149332+1 2.369989-5 6.816433+1 2.372195-5 7.532074+1 2.374987-5 8.584384+1 2.376202-5 9.101133+1 2.379838-5 1.089854+2 2.383019-5 1.284247+2 2.385803-5 1.489547+2 2.388238-5 1.701658+2 2.392234-5 2.130096+2 2.395500-5 2.571616+2 2.399780-5 3.308165+2 2.412687-5 7.140056+2 2.417128-5 9.251406+2 2.421383-5 1.177992+3 2.424688-5 1.413100+3 2.428459-5 1.726635+3 2.430066-5 1.875823+3 2.434888-5 2.381308+3 2.438262-5 2.787152+3 2.438744-5 2.848600+3 2.445091-5 3.734202+3 2.445791-5 3.839962+3 2.451064-5 4.678865+3 2.452989-5 5.000024+3 2.457153-5 5.710435+3 2.458873-5 6.006318+3 2.461330-5 6.427262+3 2.462910-5 6.694624+3 2.465767-5 7.166581+3 2.468667-5 7.623197+3 2.471671-5 8.063286+3 2.474583-5 8.449088+3 2.478164-5 8.856788+3 2.481189-5 9.135285+3 2.482633-5 9.244806+3 2.485693-5 9.424023+3 2.488418-5 9.520683+3 2.490105-5 9.550093+3 2.493125-5 9.544405+3 2.495182-5 9.498147+3 2.496241-5 9.461231+3 2.499865-5 9.270114+3 2.502722-5 9.053111+3 2.505130-5 8.829039+3 2.507802-5 8.541104+3 2.510757-5 8.181421+3 2.513224-5 7.853423+3 2.516396-5 7.403228+3 2.519383-5 6.958779+3 2.522370-5 6.502979+3 2.525729-5 5.986492+3 2.528343-5 5.588356+3 2.534316-5 4.713389+3 2.537289-5 4.305378+3 2.542965-5 3.592446+3 2.550547-5 2.792135+3 2.558083-5 2.170780+3 2.563242-5 1.836770+3 2.566430-5 1.663062+3 2.569476-5 1.517781+3 2.572522-5 1.390614+3 2.575812-5 1.271269+3 2.578614-5 1.182561+3 2.585235-5 1.012073+3 2.590451-5 9.082803+2 2.596890-5 8.072798+2 2.600268-5 7.634601+2 2.608495-5 6.759518+2 2.617288-5 6.038943+2 2.621336-5 5.760113+2 2.629568-5 5.268771+2 2.640598-5 4.728486+2 2.651872-5 4.274141+2 2.666280-5 3.792121+2 2.680369-5 3.396918+2 2.693957-5 3.072563+2 2.706371-5 2.821641+2 2.712968-5 2.705849+2 2.720665-5 2.585954+2 2.734348-5 2.412144+2 2.739354-5 2.360851+2 2.745950-5 2.303448+2 2.749995-5 2.274178+2 2.757386-5 2.233036+2 2.762885-5 2.213341+2 2.769636-5 2.202390+2 2.776764-5 2.206279+2 2.786013-5 2.231529+2 2.808557-5 2.327832+2 2.811778-5 2.338064+2 2.818584-5 2.352315+2 2.823736-5 2.355718+2 2.829450-5 2.352064+2 2.834105-5 2.343875+2 2.843983-5 2.314827+2 2.862726-5 2.243094+2 2.882460-5 2.180372+2 2.903323-5 2.136286+2 2.962530-5 2.046105+2 3.037274-5 1.919734+2 3.121975-5 1.806136+2 3.251107-5 1.664539+2 3.645000-5 1.338303+2 3.784556-5 1.240593+2 3.890787-5 1.168029+2 4.021528-5 1.077943+2 4.119859-5 1.003209+2 4.164008-5 9.664607+1 4.185085-5 9.527109+1 4.205388-5 9.455451+1 4.224558-5 9.455571+1 4.266784-5 9.588241+1 4.277209-5 9.608187+1 4.289861-5 9.606251+1 4.300419-5 9.578870+1 4.319305-5 9.473527+1 4.349743-5 9.210283+1 4.369991-5 9.029327+1 4.390536-5 8.871513+1 4.423438-5 8.673111+1 4.474347-5 8.408259+1 4.541734-5 8.045896+1 4.602515-5 7.705572+1 4.720147-5 7.034234+1 4.870551-5 6.174004+1 5.040806-5 5.211192+1 5.191735-5 4.369235+1 5.327979-5 3.627633+1 5.432503-5 3.074827+1 5.527134-5 2.591357+1 5.617064-5 2.150730+1 5.693923-5 1.792162+1 5.783457-5 1.401465+1 5.844816-5 1.173113+1 5.898003-5 1.073257+1 5.900017-5 1.072338+1 5.972065-5 1.169164+1 6.045928-5 1.413935+1 6.387376-5 3.454452+1 6.553600-5 5.269692+1 6.665243-5 6.984319+1 6.760830-5 8.904985+1 6.815118-5 1.023165+2 6.871116-5 1.182082+2 6.919115-5 1.339459+2 6.978306-5 1.565581+2 7.023338-5 1.765906+2 7.071875-5 2.014869+2 7.126504-5 2.344026+2 7.187246-5 2.783966+2 7.227413-5 3.127557+2 7.276250-5 3.615617+2 7.316103-5 4.083350+2 7.356335-5 4.632757+2 7.397447-5 5.291536+2 7.434469-5 5.987554+2 7.465220-5 6.655420+2 7.502510-5 7.598328+2 7.532984-5 8.500395+2 7.556533-5 9.295269+2 7.585776-5 1.042477+3 7.612603-5 1.162777+3 7.643316-5 1.324755+3 7.663097-5 1.445817+3 7.689994-5 1.636468+3 7.712398-5 1.823396+3 7.734593-5 2.040179+3 7.758365-5 2.316598+3 7.783546-5 2.675099+3 7.805580-5 3.064000+3 7.824860-5 3.483369+3 7.841730-5 3.932310+3 7.856491-5 4.408296+3 7.869407-5 4.906842+3 7.880709-5 5.421663+3 7.890598-5 5.945224+3 7.899250-5 6.469490+3 7.914392-5 7.565669+3 7.925749-5 8.567188+3 7.934267-5 9.438100+3 7.947043-5 1.096810+4 7.959819-5 1.280798+4 7.981339-5 1.674088+4 8.007599-5 2.322803+4 8.022275-5 2.776278+4 8.034598-5 3.209454+4 8.046362-5 3.666591+4 8.058125-5 4.163536+4 8.077862-5 5.072332+4 8.085200-5 5.428179+4 8.099210-5 6.121809+4 8.106146-5 6.467039+4 8.112409-5 6.776617+4 8.121923-5 7.237984+4 8.130191-5 7.624647+4 8.139038-5 8.017118+4 8.145812-5 8.298667+4 8.155647-5 8.671660+4 8.165605-5 8.998315+4 8.175327-5 9.260058+4 8.179018-5 9.343254+4 8.190529-5 9.541346+4 8.199517-5 9.628126+4 8.211317-5 9.648065+4 8.218986-5 9.603302+4 8.237636-5 9.309761+4 8.246285-5 9.090131+4 8.256370-5 8.774052+4 8.264303-5 8.484799+4 8.273332-5 8.117822+4 8.283239-5 7.676738+4 8.290824-5 7.317456+4 8.299828-5 6.873084+4 8.306696-5 6.525201+4 8.315639-5 6.066061+4 8.327001-5 5.481820+4 8.335869-5 5.032171+4 8.347936-5 4.438570+4 8.357051-5 4.009810+4 8.372365-5 3.337692+4 8.380041-5 3.026542+4 8.405938-5 2.115905+4 8.415287-5 1.840715+4 8.424301-5 1.601586+4 8.434618-5 1.358176+4 8.446929-5 1.107581+4 8.459840-5 8.875948+3 8.476415-5 6.625575+3 8.486223-5 5.564230+3 8.499857-5 4.384933+3 8.514222-5 3.477537+3 8.525348-5 2.990304+3 8.535505-5 2.700032+3 8.546749-5 2.545678+3 8.551394-5 2.532789+3 8.555458-5 2.546050+3 8.559035-5 2.576821+3 8.562127-5 2.617954+3 8.564849-5 2.665467+3 8.567232-5 2.715795+3 8.571141-5 2.816281+3 8.575355-5 2.949965+3 8.579335-5 3.100800+3 8.583910-5 3.304337+3 8.588940-5 3.566345+3 8.595389-5 3.962496+3 8.603958-5 4.597463+3 8.632471-5 7.670927+3 8.642101-5 9.062807+3 8.663700-5 1.285080+4 8.667593-5 1.362935+4 8.683122-5 1.700482+4 8.691819-5 1.906650+4 8.695922-5 2.007635+4 8.708231-5 2.322482+4 8.717202-5 2.560487+4 8.726252-5 2.804772+4 8.733865-5 3.011197+4 8.742010-5 3.230625+4 8.750793-5 3.462670+4 8.758382-5 3.656924+4 8.768078-5 3.893100+4 8.773718-5 4.022739+4 8.782836-5 4.217757+4 8.792661-5 4.404606+4 8.797183-5 4.481525+4 8.806892-5 4.625504+4 8.814865-5 4.720759+4 8.821096-5 4.780000+4 8.830016-5 4.840885+4 8.837347-5 4.869475+4 8.841846-5 4.877412+4 8.855301-5 4.858105+4 8.864858-5 4.806514+4 8.875491-5 4.714555+4 8.882327-5 4.637665+4 8.889163-5 4.548061+4 8.896338-5 4.441548+4 8.905757-5 4.284691+4 8.915406-5 4.107085+4 8.930145-5 3.810947+4 8.939645-5 3.609351+4 8.952773-5 3.323950+4 8.959147-5 3.184632+4 8.980629-5 2.723954+4 8.991078-5 2.510188+4 9.011025-5 2.130702+4 9.034075-5 1.748693+4 9.067526-5 1.310144+4 9.078910-5 1.190740+4 9.088379-5 1.101922+4 9.098313-5 1.018230+4 9.115580-5 8.935737+3 9.126895-5 8.245143+3 9.138210-5 7.641000+3 9.160484-5 6.663270+3 9.167437-5 6.406365+3 9.182757-5 5.906787+3 9.202711-5 5.369307+3 9.222666-5 4.931105+3 9.253198-5 4.400351+3 9.284172-5 3.983672+3 9.311315-5 3.689319+3 9.338809-5 3.440871+3 9.368125-5 3.218249+3 9.385000-5 3.106090+3 9.410298-5 2.956052+3 9.436507-5 2.819977+3 9.465485-5 2.688572+3 9.501833-5 2.546905+3 9.558742-5 2.365504+3 9.597969-5 2.262742+3 9.618477-5 2.214881+3 9.668152-5 2.112908+3 9.722218-5 2.020476+3 9.788326-5 1.927712+3 9.850000-5 1.856413+3 9.923967-5 1.785367+3 1.000875-4 1.717951+3 1.005773-4 1.683999+3 1.014061-4 1.632990+3 1.024476-4 1.577868+3 1.038531-4 1.513865+3 1.058051-4 1.436395+3 1.078542-4 1.365744+3 1.108290-4 1.276391+3 1.130608-4 1.219633+3 1.158309-4 1.158310+3 1.182736-4 1.111859+3 1.213182-4 1.060295+3 1.270656-4 9.781542+2 1.376417-4 8.581661+2 1.569139-4 7.001144+2 1.598638-4 6.792340+2 1.629335-4 6.571982+2 1.661006-4 6.330678+2 1.704621-4 5.955996+2 1.718003-4 5.887970+2 1.729309-4 5.869821+2 1.753681-4 5.885556+2 1.769337-4 5.877931+2 1.781500-4 5.856893+2 1.831291-4 5.727609+2 1.881203-4 5.574592+2 1.937452-4 5.393607+2 1.984042-4 5.237947+2 2.041905-4 5.028059+2 2.075843-4 4.877173+2 2.109687-4 4.704768+2 2.119824-4 4.676893+2 2.129224-4 4.673846+2 2.141184-4 4.698304+2 2.157252-4 4.745006+2 2.171353-4 4.760311+2 2.183436-4 4.747575+2 2.371374-4 4.321260+2 2.460375-4 4.114801+2 2.511886-4 3.988668+2 2.605624-4 3.745626+2 2.688500-4 3.513700+2 2.720270-4 3.448561+2 2.740140-4 3.415284+2 2.780357-4 3.336547+2 2.812426-4 3.260470+2 2.915987-4 2.991143+2 3.000000-4 2.744693+2 3.038457-4 2.612911+2 3.077960-4 2.451813+2 3.100694-4 2.361982+2 3.108839-4 2.336287+2 3.116619-4 2.316655+2 3.127510-4 2.297897+2 3.147504-4 2.284282+2 3.171310-4 2.272155+2 3.188350-4 2.249211+2 3.218776-4 2.198918+2 3.258953-4 2.158179+2 3.273407-4 2.132614+2 3.289000-4 2.091343+2 3.305500-4 2.035806+2 3.319154-4 1.985320+2 3.378975-4 1.765576+2 3.410000-4 1.654809+2 3.433750-4 1.569686+2 3.474375-4 1.426306+2 3.548134-4 1.193206+2 3.566110-4 1.145196+2 3.585919-4 1.097755+2 3.599986-4 1.067928+2 3.627703-4 1.019348+2 3.658638-4 9.819374+1 3.686400-4 9.641789+1 3.715352-4 9.622293+1 3.758734-4 9.912514+1 3.783734-4 1.026021+2 3.841220-4 1.153443+2 3.855050-4 1.193772+2 3.878110-4 1.269967+2 3.906221-4 1.377593+2 3.948036-4 1.565330+2 4.033200-4 2.036648+2 4.085545-4 2.372296+2 4.135462-4 2.717361+2 4.158879-4 2.886968+2 4.196492-4 3.168754+2 4.220800-4 3.356346+2 4.260000-4 3.666479+2 4.307500-4 4.051301+2 4.367045-4 4.541252+2 4.422028-4 4.995436+2 4.492624-4 5.572574+2 4.576764-4 6.246173+2 4.654531-4 6.852911+2 4.745241-4 7.540008+2 4.818993-4 8.081060+2 4.930823-4 8.859062+2 5.040710-4 9.574753+2 5.184000-4 1.043171+3 5.308844-4 1.110888+3 5.418871-4 1.165543+3 5.561329-4 1.227373+3 5.697010-4 1.277553+3 5.825081-4 1.315441+3 5.933533-4 1.338563+3 6.015319-4 1.346882+3 6.073550-4 1.345134+3 6.109162-4 1.339454+3 6.147256-4 1.330602+3 6.175637-4 1.327044+3 6.191261-4 1.329389+3 6.200655-4 1.333307+3 6.231248-4 1.365459+3 6.246037-4 1.394642+3 6.262149-4 1.437961+3 6.280724-4 1.502118+3 6.322081-4 1.677455+3 6.338479-4 1.745293+3 6.352221-4 1.794926+3 6.371221-4 1.847409+3 6.388891-4 1.876215+3 6.402850-4 1.885051+3 6.412470-4 1.884563+3 6.430501-4 1.871630+3 6.444721-4 1.853217+3 6.502733-4 1.758444+3 6.514562-4 1.742975+3 6.548582-4 1.716101+3 6.584602-4 1.722604+3 6.601099-4 1.739117+3 6.616542-4 1.762362+3 6.634475-4 1.798009+3 6.664370-4 1.872398+3 6.694569-4 1.952321+3 6.711396-4 1.991866+3 6.726852-4 2.021928+3 6.740723-4 2.042616+3 6.749578-4 2.052489+3 6.764943-4 2.063540+3 6.780317-4 2.067550+3 6.795645-4 2.065819+3 6.829360-4 2.049902+3 6.871465-4 2.026332+3 6.895465-4 2.017573+3 6.962305-4 2.014673+3 7.191663-4 2.072090+3 7.520557-4 2.162673+3 7.787367-4 2.225145+3 8.128305-4 2.287929+3 8.439444-4 2.324620+3 8.702478-4 2.339311+3 8.856210-4 2.336490+3 8.927815-4 2.339324+3 8.975529-4 2.351084+3 9.024172-4 2.374752+3 9.145718-4 2.461776+3 9.207239-4 2.497861+3 9.304888-4 2.534052+3 9.558765-4 2.591669+3 9.874983-4 2.643380+3 1.019027-3 2.677467+3 1.054761-3 2.703677+3 1.093334-3 2.723634+3 1.126212-3 2.764933+3 1.163737-3 2.790913+3 1.206713-3 2.803393+3 1.229042-3 2.803260+3 1.241689-3 2.808349+3 1.265855-3 2.836226+3 1.294214-3 2.859224+3 1.344063-3 2.874537+3 1.404969-3 2.879039+3 1.477778-3 2.875567+3 1.556287-3 2.862963+3 1.639406-3 2.840662+3 1.739052-3 2.800758+3 1.840772-3 2.754232+3 1.957774-3 2.695317+3 2.072824-3 2.626091+3 2.189595-3 2.547012+3 2.317395-3 2.455061+3 2.445256-3 2.351799+3 2.552286-3 2.254549+3 2.652601-3 2.155244+3 2.741525-3 2.057961+3 2.821980-3 1.959272+3 2.906623-3 1.843588+3 2.959856-3 1.762611+3 3.007038-3 1.680115+3 3.046141-3 1.600338+3 3.073098-3 1.536284+3 3.102835-3 1.452865+3 3.125533-3 1.378562+3 3.154924-3 1.282093+3 3.165322-3 1.256471+3 3.173056-3 1.243327+3 3.181739-3 1.235952+3 3.187311-3 1.235636+3 3.196415-3 1.242353+3 3.203771-3 1.253524+3 3.217225-3 1.282942+3 3.243211-3 1.346242+3 3.266556-3 1.392318+3 3.292443-3 1.442556+3 3.308771-3 1.483483+3 3.318805-3 1.514820+3 3.327222-3 1.545449+3 3.344525-3 1.620660+3 3.375453-3 1.774020+3 3.383519-3 1.811214+3 3.392592-3 1.849607+3 3.410161-3 1.913647+3 3.441333-3 2.008725+3 3.472860-3 2.099305+3 3.495056-3 2.157307+3 3.521977-3 2.216722+3 3.550857-3 2.267994+3 3.583991-3 2.314669+3 3.620624-3 2.354524+3 3.663903-3 2.388790+3 3.704795-3 2.409451+3 3.744305-3 2.418097+3 3.780998-3 2.414753+3 3.846178-3 2.388113+3 3.860064-3 2.386592+3 3.874375-3 2.390729+3 3.888593-3 2.402044+3 3.911844-3 2.436520+3 3.959588-3 2.541460+3 3.981788-3 2.587433+3 4.000120-3 2.619288+3 4.027170-3 2.656236+3 4.059605-3 2.688518+3 4.103054-3 2.719354+3 4.160010-3 2.747963+3 4.216965-3 2.767507+3 4.283112-3 2.781842+3 4.347839-3 2.787833+3 4.401221-3 2.787137+3 4.471936-3 2.779031+3 4.559412-3 2.753747+3 4.619497-3 2.735717+3 4.657210-3 2.737669+3 4.741015-3 2.770552+3 4.775522-3 2.780078+3 4.818615-3 2.783952+3 4.931586-3 2.770388+3 4.982297-3 2.773966+3 5.085979-3 2.804859+3 5.184269-3 2.815270+3 5.269833-3 2.813550+3 5.479615-3 2.791913+3 5.797237-3 2.740790+3 6.062154-3 2.687178+3 6.382635-3 2.616733+3 6.805367-3 2.517815+3 7.341110-3 2.389951+3 7.894847-3 2.258758+3 8.535914-3 2.114884+3 8.868528-3 2.044127+3 9.674422-3 1.879498+3 1.059467-2 1.709271+3 1.106783-2 1.628185+3 1.155474-2 1.548771+3 1.207267-2 1.468080+3 1.254405-2 1.397487+3 1.302801-2 1.327421+3 1.338148-2 1.277374+3 1.375427-2 1.224927+3 1.406452-2 1.181184+3 1.435504-2 1.139360+3 1.459891-2 1.103173+3 1.480389-2 1.071366+3 1.497852-2 1.042615+3 1.510865-2 1.019571+3 1.522299-2 9.974668+2 1.532621-2 9.751281+2 1.541301-2 9.536682+2 1.553000-2 9.196759+2 1.570227-2 8.650875+2 1.576288-2 8.501964+2 1.581559-2 8.417323+2 1.586375-2 8.384934+2 1.592059-2 8.404276+2 1.597567-2 8.476092+2 1.606947-2 8.677237+2 1.618431-2 8.953360+2 1.628241-2 9.142983+2 1.634722-2 9.234901+2 1.642597-2 9.315102+2 1.651847-2 9.375820+2 1.663210-2 9.416780+2 1.676141-2 9.433607+2 1.690035-2 9.426828+2 1.705462-2 9.396752+2 1.740532-2 9.269533+2 1.778279-2 9.070856+2 1.797572-2 8.947042+2 1.826890-2 8.726398+2 1.843445-2 8.577065+2 1.857023-2 8.433870+2 1.875184-2 8.201769+2 1.897330-2 7.896157+2 1.907096-2 7.801089+2 1.915763-2 7.758194+2 1.924142-2 7.754582+2 1.959786-2 7.881495+2 1.981959-2 7.936713+2 2.002194-2 8.034434+2 2.026686-2 8.162522+2 2.048560-2 8.219141+2 2.079571-2 8.225706+2 2.121380-2 8.173991+2 2.171341-2 8.067704+2 2.246769-2 7.864088+2 2.348417-2 7.552172+2 2.465205-2 7.178237+2 2.626486-2 6.674171+2 2.845618-2 6.045563+2 3.182618-2 5.217072+2 3.528403-2 4.521631+2 3.853355-2 3.980327+2 4.264531-2 3.410270+2 4.845311-2 2.786060+2 5.272479-2 2.427299+2 5.708629-2 2.121991+2 6.477430-2 1.701503+2 7.601469-2 1.277630+2 8.229891-2 1.103665+2 8.862579-2 9.580611+1 9.387721-2 8.531522+1 9.765984-2 7.830839+1 1.004089-1 7.327081+1 1.022917-1 6.964463+1 1.030667-1 6.802259+1 1.037014-1 6.657736+1 1.046137-1 6.420514+1 1.061289-1 5.982998+1 1.066011-1 5.883090+1 1.069614-1 5.835852+1 1.073190-1 5.817250+1 1.078346-1 5.836492+1 1.086080-1 5.930007+1 1.093863-1 6.034795+1 1.099707-1 6.091712+1 1.108810-1 6.136143+1 1.114816-1 6.143588+1 1.130144-1 6.120109+1 1.147534-1 6.054864+1 1.179953-1 5.885572+1 1.214629-1 5.679924+1 1.271573-1 5.327863+1 1.330352-1 4.973863+1 1.447910-1 4.336412+1 1.577866-1 3.750169+1 1.804950-1 2.965292+1 2.136684-1 2.190460+1 2.610470-1 1.516488+1 3.187407-1 1.043839+1 4.126167-1 6.389394+0 5.770985-1 3.345121+0 8.423796-1 1.600600+0 1.286622+0 6.968303-1 2.135261+0 2.555148-1 4.671441+0 5.367354-2 1.410753+1 5.891427-3 4.260405+1 6.460155-4 1.286622+2 7.083456-5 3.885536+2 7.766859-6 1.258925+3 7.398560-7 3.981072+3 7.398560-8 1.258925+4 7.398560-9 3.981072+4 7.39856-10 1.000000+5 1.17259-10 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.002700-6 1.258900-6 4.758900-6 1.584900-6 7.542300-6 1.995300-6 1.195400-5 2.511900-6 1.894500-5 3.162300-6 3.002600-5 3.981100-6 4.758800-5 5.011900-6 7.542200-5 6.309600-6 1.195300-4 7.943300-6 1.894500-4 1.000000-5 3.002500-4 1.258900-5 4.758600-4 1.584900-5 7.541800-4 1.995300-5 1.195200-3 2.511900-5 1.893200-3 3.162300-5 2.998700-3 3.981100-5 4.750400-3 5.011900-5 7.526200-3 6.309600-5 1.192500-2 7.943300-5 1.887200-2 1.000000-4 2.985000-2 1.258900-4 4.714400-2 1.584900-4 7.431200-2 1.995300-4 1.167600-1 2.511900-4 1.826000-1 3.162300-4 2.835000-1 3.981100-4 4.348000-1 5.011900-4 6.523300-1 6.309600-4 9.529900-1 7.943300-4 1.346900+0 1.000000-3 1.839300+0 1.258900-3 2.439500+0 1.584900-3 3.177700+0 1.995300-3 4.098300+0 2.511900-3 5.234800+0 3.162300-3 6.622900+0 3.981100-3 8.275300+0 5.011900-3 1.015400+1 6.309600-3 1.222300+1 7.943300-3 1.454800+1 1.000000-2 1.715400+1 1.258900-2 2.002000+1 1.584900-2 2.288800+1 1.995300-2 2.574000+1 2.511900-2 2.850300+1 3.162300-2 3.113900+1 3.981100-2 3.345800+1 5.011900-2 3.527500+1 6.309600-2 3.627700+1 7.943300-2 3.700900+1 1.000000-1 3.694400+1 1.258900-1 3.626000+1 1.584900-1 3.509500+1 1.995300-1 3.349400+1 2.511900-1 3.160100+1 3.162300-1 2.951000+1 3.981100-1 2.731700+1 5.011900-1 2.508200+1 6.309600-1 2.286600+1 7.943300-1 2.070000+1 1.000000+0 1.860400+1 1.258900+0 1.662200+1 1.584900+0 1.474400+1 1.995300+0 1.299200+1 2.511900+0 1.137300+1 3.162300+0 9.893000+0 3.981100+0 8.554000+0 5.011900+0 7.354300+0 6.309600+0 6.289700+0 7.943300+0 5.353000+0 1.000000+1 4.535600+0 1.258900+1 3.827400+0 1.584900+1 3.217900+0 1.995300+1 2.696500+0 2.511900+1 2.252800+0 3.162300+1 1.877000+0 3.981100+1 1.560100+0 5.011900+1 1.293800+0 6.309600+1 1.070800+0 7.943300+1 8.846300-1 1.000000+2 7.296200-1 1.258900+2 6.008600-1 1.584900+2 4.941300-1 1.995300+2 4.058500-1 2.511900+2 3.329500-1 3.162300+2 2.728400-1 3.981100+2 2.233700-1 5.011900+2 1.826900-1 6.309600+2 1.492900-1 7.943300+2 1.219000-1 1.000000+3 9.945200-2 1.258900+3 8.108200-2 1.584900+3 6.606000-2 1.995300+3 5.378700-2 2.511900+3 4.376700-2 3.162300+3 3.559400-2 3.981100+3 2.893000-2 5.011900+3 2.350200-2 6.309600+3 1.908300-2 7.943300+3 1.548700-2 1.000000+4 1.256300-2 1.258900+4 1.018700-2 1.584900+4 8.256700-3 1.995300+4 6.689500-3 2.511900+4 5.417600-3 3.162300+4 4.386000-3 3.981100+4 3.549500-3 5.011900+4 2.871600-3 6.309600+4 2.322300-3 7.943300+4 1.877500-3 1.000000+5 1.517500-3 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584207-4 1.995262-4 1.994175-4 2.511886-4 2.510167-4 3.162278-4 3.159553-4 3.981072-4 3.976783-4 5.011872-4 5.005129-4 6.309573-4 6.299000-4 7.943282-4 7.926762-4 1.000000-3 9.974255-4 1.258925-3 1.254914-3 1.584893-3 1.578622-3 1.995262-3 1.985423-3 2.511886-3 2.496395-3 3.162278-3 3.137984-3 3.981072-3 3.942956-3 5.011872-3 4.952299-3 6.309573-3 6.216728-3 7.943282-3 7.798424-3 1.000000-2 9.773387-3 1.258925-2 1.223699-2 1.584893-2 1.530274-2 1.995262-2 1.911172-2 2.511886-2 2.382585-2 3.162278-2 2.964099-2 3.981072-2 3.679204-2 5.011872-2 4.555745-2 6.309573-2 5.627188-2 7.943282-2 6.928337-2 1.000000-1 8.505026-2 1.258925-1 1.041141-1 1.584893-1 1.269519-1 1.995262-1 1.543755-1 2.511886-1 1.870645-1 3.162278-1 2.259735-1 3.981072-1 2.721224-1 5.011872-1 3.266928-1 6.309573-1 3.910626-1 7.943282-1 4.669168-1 1.000000+0 5.564608-1 1.258925+0 6.615506-1 1.584893+0 7.858614-1 1.995262+0 9.329588-1 2.511886+0 1.107509+0 3.162278+0 1.315198+0 3.981072+0 1.563178+0 5.011872+0 1.860026+0 6.309573+0 2.216230+0 7.943282+0 2.644872+0 1.000000+1 3.161414+0 1.258925+1 3.785491+0 1.584893+1 4.540693+0 1.995262+1 5.456027+0 2.511886+1 6.566766+0 3.162278+1 7.916927+0 3.981072+1 9.559201+0 5.011872+1 1.156013+1 6.309573+1 1.399972+1 7.943282+1 1.697744+1 1.000000+2 2.061487+1 1.258925+2 2.506206+1 1.584893+2 3.050355+1 1.995262+2 3.716710+1 2.511886+2 4.533235+1 3.162278+2 5.534498+1 3.981072+2 6.762946+1 5.011872+2 8.271268+1 6.309573+2 1.012418+2 7.943282+2 1.240185+2 1.000000+3 1.520273+2 1.258925+3 1.864906+2 1.584893+3 2.289155+2 1.995262+3 2.811748+2 2.511886+3 3.455642+2 3.162278+3 4.249300+2 3.981072+3 5.228158+2 5.011872+3 6.435801+2 6.309573+3 7.926433+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34284-10 1.584893-5 6.88285-10 1.995262-5 1.090816-9 2.511886-5 1.728588-9 3.162278-5 2.739445-9 3.981072-5 4.341651-9 5.011872-5 6.881034-9 6.309573-5 1.090552-8 7.943282-5 1.727798-8 1.000000-4 2.737521-8 1.258925-4 4.336386-8 1.584893-4 6.866784-8 1.995262-4 1.087032-7 2.511886-4 1.719896-7 3.162278-4 2.724971-7 3.981072-4 4.288641-7 5.011872-4 6.743770-7 6.309573-4 1.057343-6 7.943282-4 1.651994-6 1.000000-3 2.574522-6 1.258925-3 4.011788-6 1.584893-3 6.271380-6 1.995262-3 9.839427-6 2.511886-3 1.549190-5 3.162278-3 2.429367-5 3.981072-3 3.811541-5 5.011872-3 5.957383-5 6.309573-3 9.284536-5 7.943282-3 1.448587-4 1.000000-2 2.266125-4 1.258925-2 3.522647-4 1.584893-2 5.461915-4 1.995262-2 8.408988-4 2.511886-2 1.293011-3 3.162278-2 1.981785-3 3.981072-2 3.018682-3 5.011872-2 4.561278-3 6.309573-2 6.823853-3 7.943282-2 1.014946-2 1.000000-1 1.494974-2 1.258925-1 2.177846-2 1.584893-1 3.153744-2 1.995262-1 4.515075-2 2.511886-1 6.412419-2 3.162278-1 9.025429-2 3.981072-1 1.259848-1 5.011872-1 1.744945-1 6.309573-1 2.398947-1 7.943282-1 3.274114-1 1.000000+0 4.435392-1 1.258925+0 5.973748-1 1.584893+0 7.990317-1 1.995262+0 1.062304+0 2.511886+0 1.404378+0 3.162278+0 1.847080+0 3.981072+0 2.417894+0 5.011872+0 3.151846+0 6.309573+0 4.093344+0 7.943282+0 5.298410+0 1.000000+1 6.838586+0 1.258925+1 8.803763+0 1.584893+1 1.130824+1 1.995262+1 1.449660+1 2.511886+1 1.855210+1 3.162278+1 2.370585+1 3.981072+1 3.025152+1 5.011872+1 3.855859+1 6.309573+1 4.909601+1 7.943282+1 6.245538+1 1.000000+2 7.938513+1 1.258925+2 1.008305+2 1.584893+2 1.279858+2 1.995262+2 1.623591+2 2.511886+2 2.058563+2 3.162278+2 2.608828+2 3.981072+2 3.304777+2 5.011872+2 4.184745+2 6.309573+2 5.297156+2 7.943282+2 6.703098+2 1.000000+3 8.479727+2 1.258925+3 1.072435+3 1.584893+3 1.355978+3 1.995262+3 1.714087+3 2.511886+3 2.166322+3 3.162278+3 2.737348+3 3.981072+3 3.458256+3 5.011872+3 4.368292+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.000000-6 6.855540+6 4.168694-6 7.000216+6 4.365158-6 7.114486+6 4.490000-6 7.161630+6 4.490000-6 1.069815+7 4.570882-6 1.079981+7 4.770000-6 1.097491+7 4.841724-6 1.102874+7 4.954502-6 1.109235+7 5.200000-6 1.120227+7 5.410000-6 1.123746+7 5.410000-6 2.005552+7 5.500000-6 1.959703+7 5.559043-6 1.930787+7 5.754399-6 1.841719+7 5.821032-6 1.813801+7 6.025596-6 1.734609+7 6.200000-6 1.673729+7 6.500000-6 1.581965+7 6.600000-6 1.554099+7 7.000000-6 1.455120+7 7.500000-6 1.351983+7 7.585776-6 1.336170+7 8.035261-6 1.258969+7 8.200000-6 1.233153+7 8.609938-6 1.172566+7 8.810489-6 1.145159+7 9.120108-6 1.104223+7 9.440609-6 1.064406+7 9.700000-6 1.033280+7 1.000000-5 9.987612+6 1.023293-5 9.725386+6 1.050000-5 9.432405+6 1.059254-5 9.335759+6 1.083927-5 9.076633+6 1.122018-5 8.690853+6 1.150000-5 8.414883+6 1.188502-5 8.049280+6 1.216186-5 7.793455+6 1.258925-5 7.415156+6 1.273503-5 7.288044+6 1.333521-5 6.789716+6 1.380384-5 6.413934+6 1.412538-5 6.176285+6 1.500000-5 5.558774+6 1.531087-5 5.350814+6 1.584893-5 5.019212+6 1.678804-5 4.484111+6 1.690000-5 4.426299+6 1.800000-5 3.887488+6 1.819701-5 3.799720+6 1.927525-5 3.358424+6 1.950000-5 3.274527+6 2.089296-5 2.808436+6 2.113489-5 2.736411+6 2.195000-5 2.508657+6 2.195000-5 1.919696+7 2.230000-5 1.828989+7 2.300000-5 1.664093+7 2.317395-5 1.626174+7 2.371374-5 1.515416+7 2.511886-5 1.270698+7 2.540973-5 1.227153+7 2.580000-5 1.171735+7 2.660725-5 1.067125+7 2.818383-5 8.962419+6 2.851018-5 8.655326+6 2.931000-5 7.957560+6 2.931000-5 1.548090+7 2.985383-5 1.473836+7 3.019952-5 1.429209+7 3.054921-5 1.384674+7 3.126079-5 1.299027+7 3.162278-5 1.257350+7 3.311311-5 1.103565+7 3.350000-5 1.067339+7 3.427678-5 9.993456+6 3.507519-5 9.349937+6 3.589219-5 8.736715+6 3.672823-5 8.164059+6 3.715352-5 7.891652+6 3.730000-5 7.800563+6 3.845918-5 7.113909+6 3.981072-5 6.411695+6 4.000000-5 6.318925+6 4.168694-5 5.564952+6 4.265795-5 5.184616+6 4.315191-5 5.002487+6 4.517000-5 4.339810+6 4.517000-5 4.649496+6 4.518559-5 4.644424+6 4.590000-5 4.419639+6 4.650000-5 4.241012+6 4.677351-5 4.162558+6 4.800000-5 3.834782+6 4.954502-5 3.469787+6 5.011872-5 3.346468+6 5.069907-5 3.227427+6 5.128614-5 3.113646+6 5.248075-5 2.898854+6 5.400000-5 2.654081+6 5.432503-5 2.605525+6 5.500000-5 2.509306+6 5.559043-5 2.428918+6 5.730000-5 2.217684+6 5.800000-5 2.138628+6 5.821032-5 2.115617+6 5.900000-5 2.033108+6 6.025596-5 1.911108+6 6.095369-5 1.847435+6 6.237348-5 1.726966+6 6.309573-5 1.671100+6 6.531306-5 1.514887+6 6.683439-5 1.419437+6 6.800000-5 1.352643+6 7.079458-5 1.209755+6 7.161434-5 1.171954+6 7.328245-5 1.100973+6 7.413102-5 1.067082+6 7.585776-5 1.002976+6 7.800000-5 9.317978+5 7.852356-5 9.155535+5 8.128305-5 8.360953+5 8.222426-5 8.116452+5 8.413951-5 7.651571+5 8.638000-5 7.153954+5 8.638000-5 3.751966+6 8.642000-5 3.817234+6 8.660000-5 3.993142+6 8.680000-5 4.181264+6 8.700000-5 4.361639+6 8.709636-5 4.444526+6 8.720000-5 4.535817+6 8.750000-5 4.784313+6 8.780000-5 5.019954+6 8.815000-5 5.278844+6 8.850000-5 5.523181+6 8.885000-5 5.752392+6 8.920000-5 5.966211+6 8.970000-5 6.246122+6 9.015711-5 6.474385+6 9.020000-5 6.496253+6 9.070000-5 6.716026+6 9.120108-5 6.901399+6 9.130000-5 6.938609+6 9.190000-5 7.115887+6 9.225714-5 7.194370+6 9.250000-5 7.248241+6 9.282000-5 7.297512+6 9.282000-5 9.015084+6 9.287000-5 9.066963+6 9.300000-5 9.161944+6 9.310000-5 9.231265+6 9.332543-5 9.381581+6 9.350000-5 9.494965+6 9.355000-5 9.525025+6 9.385000-5 9.697029+6 9.415000-5 9.862866+6 9.420000-5 9.889002+6 9.450000-5 1.002931+7 9.485000-5 1.018478+7 9.500000-5 1.024693+7 9.520000-5 1.031921+7 9.565000-5 1.046909+7 9.580000-5 1.051393+7 9.610000-5 1.058925+7 9.650000-5 1.067681+7 9.660509-5 1.069583+7 9.680000-5 1.073212+7 9.700000-5 1.076093+7 9.750000-5 1.081202+7 9.772372-5 1.082608+7 9.800000-5 1.083397+7 9.850000-5 1.082938+7 9.885531-5 1.081267+7 9.900000-5 1.080644+7 9.950000-5 1.075257+7 1.000000-4 1.068263+7 1.007000-4 1.054509+7 1.012000-4 1.043135+7 1.020000-4 1.022628+7 1.027000-4 1.001773+7 1.035142-4 9.759970+6 1.045000-4 9.432918+6 1.047129-4 9.359509+6 1.055000-4 9.094454+6 1.071519-4 8.538393+6 1.083927-4 8.131339+6 1.096478-4 7.744002+6 1.150000-4 6.305466+6 1.161449-4 6.042566+6 1.205000-4 5.145147+6 1.220000-4 4.870083+6 1.230269-4 4.689597+6 1.244515-4 4.452962+6 1.260000-4 4.208244+6 1.273503-4 4.005021+6 1.300000-4 3.640482+6 1.303167-4 3.599743+6 1.318257-4 3.408265+6 1.330000-4 3.267964+6 1.348963-4 3.056407+6 1.364583-4 2.894857+6 1.380384-4 2.740727+6 1.428894-4 2.327544+6 1.445440-4 2.204785+6 1.450000-4 2.172388+6 1.462177-4 2.088839+6 1.479108-4 1.979292+6 1.500000-4 1.854998+6 1.548817-4 1.601059+6 1.566751-4 1.519001+6 1.580000-4 1.462036+6 1.603245-4 1.368615+6 1.659587-4 1.174235+6 1.698244-4 1.061267+6 1.717908-4 1.009916+6 1.720000-4 1.004647+6 1.746600-4 9.407578+5 1.746600-4 1.356740+6 1.760000-4 1.321401+6 1.778279-4 1.276033+6 1.781500-4 1.268293+6 1.800000-4 1.225192+6 1.820000-4 1.181434+6 1.840772-4 1.139251+6 1.862087-4 1.098330+6 1.880000-4 1.065698+6 1.883649-4 1.059369+6 1.900000-4 1.032043+6 1.905461-4 1.023154+6 1.930000-4 9.846461+5 1.950000-4 9.555497+5 1.972423-4 9.249675+5 1.980000-4 9.149795+5 1.985000-4 9.086256+5 2.000000-4 8.895377+5 2.018366-4 8.670689+5 2.020000-4 8.651479+5 2.050000-4 8.317712+5 2.065380-4 8.159503+5 2.080000-4 8.017516+5 2.113489-4 7.712915+5 2.137962-4 7.508158+5 2.150000-4 7.412679+5 2.162719-4 7.313961+5 2.187900-4 7.135746+5 2.187900-4 8.952928+5 2.190000-4 8.934337+5 2.213095-4 8.737272+5 2.240000-4 8.522423+5 2.264644-4 8.336674+5 2.270000-4 8.298292+5 2.290868-4 8.144737+5 2.300000-4 8.078991+5 2.305000-4 8.044116+5 2.317395-4 7.955143+5 2.350000-4 7.734577+5 2.371374-4 7.593348+5 2.398833-4 7.426920+5 2.400000-4 7.419990+5 2.430000-4 7.249057+5 2.454709-4 7.117485+5 2.470800-4 7.036057+5 2.500000-4 6.892590+5 2.511886-4 6.840891+5 2.570396-4 6.602640+5 2.630268-4 6.388475+5 2.635000-4 6.372191+5 2.650000-4 6.322439+5 2.660725-4 6.289427+5 2.691535-4 6.196761+5 2.700000-4 6.172479+5 2.730000-4 6.090812+5 2.741000-4 6.062494+5 2.741000-4 6.616724+5 2.754229-4 6.581578+5 2.818383-4 6.422127+5 2.830000-4 6.394379+5 2.851018-4 6.347925+5 2.917427-4 6.207037+5 2.951209-4 6.141763+5 3.000000-4 6.053903+5 3.019952-4 6.019197+5 3.054921-4 5.961638+5 3.090295-4 5.906294+5 3.100000-4 5.891650+5 3.150000-4 5.817671+5 3.162278-4 5.800459+5 3.197400-4 5.753279+5 3.197400-4 6.799207+5 3.200000-4 6.796901+5 3.250000-4 6.754205+5 3.273407-4 6.737297+5 3.282400-4 6.730966+5 3.289000-4 6.726559+5 3.289000-4 7.449199+5 3.290000-4 7.451884+5 3.296000-4 7.459396+5 3.300000-4 7.462569+5 3.304000-4 7.466991+5 3.311311-4 7.472467+5 3.316000-4 7.476175+5 3.322000-4 7.479631+5 3.330000-4 7.487579+5 3.335000-4 7.491514+5 3.350000-4 7.510396+5 3.365000-4 7.535625+5 3.375300-4 7.559136+5 3.390000-4 7.602308+5 3.400000-4 7.638873+5 3.415000-4 7.707847+5 3.420000-4 7.735169+5 3.427678-4 7.780847+5 3.430000-4 7.794945+5 3.435000-4 7.829118+5 3.445000-4 7.903632+5 3.450000-4 7.945115+5 3.458000-4 8.017109+5 3.465000-4 8.086110+5 3.472000-4 8.160894+5 3.480000-4 8.254001+5 3.490000-4 8.380851+5 3.495000-4 8.449517+5 3.507519-4 8.636117+5 3.510000-4 8.674648+5 3.515000-4 8.756342+5 3.525000-4 8.929318+5 3.540000-4 9.214485+5 3.555000-4 9.531196+5 3.565000-4 9.761605+5 3.570000-4 9.878594+5 3.589219-4 1.036709+6 3.590000-4 1.038801+6 3.610000-4 1.094602+6 3.635000-4 1.170201+6 3.657000-4 1.242044+6 3.665000-4 1.269088+6 3.672823-4 1.296122+6 3.680000-4 1.321803+6 3.690000-4 1.357742+6 3.700000-4 1.394559+6 3.715352-4 1.452020+6 3.730000-4 1.508979+6 3.740000-4 1.548201+6 3.758374-4 1.622370+6 3.765000-4 1.649307+6 3.790000-4 1.754228+6 3.815000-4 1.861616+6 3.845918-4 1.997495+6 3.850000-4 2.015887+6 3.880000-4 2.151147+6 3.915000-4 2.310085+6 3.935501-4 2.401372+6 3.950000-4 2.468550+6 3.981072-4 2.607319+6 4.000000-4 2.688720+6 4.015000-4 2.755303+6 4.016400-4 2.761362+6 4.027170-4 2.806044+6 4.050000-4 2.903425+6 4.080000-4 3.025124+6 4.090000-4 3.065202+6 4.100000-4 3.103639+6 4.120975-4 3.185863+6 4.130000-4 3.220452+6 4.150000-4 3.293892+6 4.180000-4 3.402776+6 4.190000-4 3.437381+6 4.216965-4 3.527804+6 4.235600-4 3.591682+6 4.240000-4 3.605925+6 4.265795-4 3.686233+6 4.280000-4 3.731155+6 4.335000-4 3.888418+6 4.365158-4 3.964305+6 4.390000-4 4.027711+6 4.430000-4 4.115221+6 4.450000-4 4.159582+6 4.466836-4 4.190684+6 4.500000-4 4.252465+6 4.518559-4 4.284780+6 4.550000-4 4.333436+6 4.570882-4 4.362927+6 4.600000-4 4.404191+6 4.623810-4 4.433874+6 4.677351-4 4.492914+6 4.680000-4 4.495846+6 4.700000-4 4.514740+6 4.731513-4 4.540560+6 4.780000-4 4.580262+6 4.794100-4 4.589847+6 4.841724-4 4.616043+6 4.850000-4 4.620593+6 4.897788-4 4.639761+6 4.954502-4 4.655327+6 4.970000-4 4.659581+6 5.000000-4 4.663739+6 5.011872-4 4.664054+6 5.080000-4 4.665887+6 5.128614-4 4.661600+6 5.150000-4 4.657712+6 5.230000-4 4.643239+6 5.248075-4 4.637949+6 5.308844-4 4.615549+6 5.400000-4 4.582694+6 5.432503-4 4.565150+6 5.500000-4 4.529194+6 5.559043-4 4.498259+6 5.580000-4 4.487402+6 5.623413-4 4.462355+6 5.754399-4 4.377545+6 5.821032-4 4.332388+6 5.888437-4 4.283663+6 5.956621-4 4.235487+6 6.000000-4 4.203329+6 6.025596-4 4.184578+6 6.200000-4 4.050867+6 6.237348-4 4.021589+6 6.285300-4 3.984505+6 6.382635-4 3.906782+6 6.396200-4 3.896161+6 6.396200-4 4.263258+6 6.456542-4 4.216882+6 6.500000-4 4.184101+6 6.531306-4 4.159527+6 6.606934-4 4.098214+6 6.700000-4 4.025080+6 6.755100-4 3.982883+6 6.755100-4 4.187356+6 6.839116-4 4.125832+6 6.850000-4 4.117676+6 6.918310-4 4.064936+6 7.000000-4 4.003629+6 7.079458-4 3.945615+6 7.161434-4 3.887473+6 7.328245-4 3.765901+6 7.350000-4 3.750530+6 7.498942-4 3.648262+6 7.500000-4 3.647555+6 7.585776-4 3.589859+6 7.673615-4 3.529942+6 7.852356-4 3.412704+6 7.900000-4 3.381840+6 7.943282-4 3.353991+6 8.000000-4 3.318140+6 8.128305-4 3.236910+6 8.222426-4 3.179262+6 8.317638-4 3.120834+6 8.511380-4 3.007852+6 8.609938-4 2.951502+6 8.810489-4 2.841448+6 8.912509-4 2.787333+6 9.015711-4 2.733902+6 9.114400-4 2.684015+6 9.114400-4 2.850294+6 9.120108-4 2.847392+6 9.225714-4 2.793321+6 9.332543-4 2.740489+6 9.350000-4 2.731865+6 9.500000-4 2.659290+6 9.660509-4 2.584653+6 9.700000-4 2.566815+6 9.885531-4 2.482542+6 1.000000-3 2.432074+6 1.011579-3 2.382347+6 1.015000-3 2.367989+6 1.035142-3 2.285902+6 1.047129-3 2.238642+6 1.059254-3 2.192487+6 1.071519-3 2.146288+6 1.083927-3 2.100862+6 1.104800-3 2.028029+6 1.104800-3 2.055454+6 1.109175-3 2.040723+6 1.110000-3 2.037965+6 1.122018-3 1.997844+6 1.130000-3 1.971791+6 1.135011-3 1.955566+6 1.150000-3 1.908001+6 1.161449-3 1.872525+6 1.174898-3 1.832200+6 1.188502-3 1.792874+6 1.190000-3 1.788631+6 1.202264-3 1.753989+6 1.210000-3 1.732397+6 1.216186-3 1.715426+6 1.230269-3 1.677807+6 1.244515-3 1.640646+6 1.249500-3 1.627947+6 1.249500-3 1.659228+6 1.260000-3 1.632763+6 1.273503-3 1.599716+6 1.288250-3 1.564497+6 1.300000-3 1.537170+6 1.303167-3 1.529846+6 1.318257-3 1.495730+6 1.333521-3 1.462481+6 1.350000-3 1.427609+6 1.364583-3 1.397723+6 1.380384-3 1.366466+6 1.396368-3 1.335863+6 1.412538-3 1.305784+6 1.420000-3 1.292105+6 1.428894-3 1.276090+6 1.450000-3 1.239365+6 1.462177-3 1.218762+6 1.479108-3 1.190869+6 1.496236-3 1.163326+6 1.500000-3 1.157407+6 1.531087-3 1.110330+6 1.548817-3 1.084803+6 1.570000-3 1.055005+6 1.584893-3 1.034495+6 1.621810-3 9.863313+5 1.650000-3 9.519110+5 1.659587-3 9.405623+5 1.678804-3 9.183664+5 1.690000-3 9.058166+5 1.698244-3 8.966628+5 1.717908-3 8.753781+5 1.737801-3 8.544951+5 1.770000-3 8.221078+5 1.778279-3 8.140861+5 1.800000-3 7.936051+5 1.819701-3 7.756368+5 1.862087-3 7.391086+5 1.864900-3 7.367396+5 1.883649-3 7.212376+5 1.905461-3 7.038290+5 1.927525-3 6.867550+5 1.950000-3 6.699153+5 1.972423-3 6.537520+5 1.995262-3 6.378980+5 2.000000-3 6.346832+5 2.018366-3 6.223494+5 2.041738-3 6.070391+5 2.070000-3 5.893001+5 2.089296-3 5.775841+5 2.113489-3 5.633296+5 2.187762-3 5.226814+5 2.200000-3 5.164099+5 2.213095-3 5.098219+5 2.220000-3 5.063955+5 2.238721-3 4.972042+5 2.264644-3 4.848324+5 2.300000-3 4.686318+5 2.317395-3 4.609334+5 2.344229-3 4.494309+5 2.371374-3 4.382159+5 2.400000-3 4.268422+5 2.426610-3 4.165843+5 2.454709-3 4.060925+5 2.483133-3 3.957933+5 2.511886-3 3.857777+5 2.540973-3 3.760359+5 2.570396-3 3.665242+5 2.600160-3 3.572759+5 2.630268-3 3.482824+5 2.650000-3 3.425772+5 2.660725-3 3.395070+5 2.691535-3 3.308346+5 2.722701-3 3.223914+5 2.786121-3 3.060988+5 2.800000-3 3.027020+5 2.818383-3 2.982763+5 2.851018-3 2.906605+5 2.884032-3 2.832542+5 2.900000-3 2.797454+5 2.917427-3 2.759862+5 2.951209-3 2.688646+5 3.019952-3 2.551562+5 3.054921-3 2.485563+5 3.090295-3 2.421371+5 3.126079-3 2.358768+5 3.162278-3 2.297923+5 3.198895-3 2.238026+5 3.224100-3 2.198127+5 3.224100-3 5.450568+5 3.235937-3 5.402373+5 3.246000-3 5.361847+5 3.273407-3 5.253662+5 3.300000-3 5.151626+5 3.311311-3 5.109038+5 3.349654-3 4.968344+5 3.379600-3 4.862144+5 3.379600-3 6.887127+5 3.467369-3 6.487347+5 3.507519-3 6.312161+5 3.548134-3 6.141574+5 3.600000-3 5.933186+5 3.630781-3 5.807749+5 3.672823-3 5.642353+5 3.715352-3 5.481560+5 3.801894-3 5.168241+5 3.845918-3 5.018099+5 3.903900-3 4.829138+5 3.903900-3 5.617822+5 3.920000-3 5.563702+5 3.935501-3 5.511674+5 3.970000-3 5.398458+5 4.000000-3 5.301313+5 4.027170-3 5.215487+5 4.073803-3 5.068800+5 4.168694-3 4.788126+5 4.216965-3 4.653803+5 4.265795-3 4.521873+5 4.315191-3 4.393711+5 4.365158-3 4.268585+5 4.400000-3 4.184341+5 4.466836-3 4.029230+5 4.518559-3 3.914746+5 4.623810-3 3.694121+5 4.650000-3 3.641994+5 4.654700-3 3.632740+5 4.654700-3 3.858136+5 4.688000-3 3.791959+5 4.731513-3 3.707973+5 4.786301-3 3.605797+5 4.800000-3 3.580899+5 4.841724-3 3.506203+5 4.897788-3 3.409410+5 4.900000-3 3.405668+5 4.954502-3 3.315040+5 4.974300-3 3.282695+5 4.974300-3 3.422863+5 5.011872-3 3.361377+5 5.015000-3 3.356331+5 5.069907-3 3.269528+5 5.128614-3 3.179605+5 5.188000-3 3.091884+5 5.248075-3 3.006619+5 5.300000-3 2.935673+5 5.308844-3 2.923835+5 5.370318-3 2.843438+5 5.432503-3 2.765071+5 5.495409-3 2.689010+5 5.500000-3 2.683580+5 5.559043-3 2.614617+5 5.688529-3 2.472090+5 5.754399-3 2.403340+5 5.800000-3 2.357313+5 5.821032-3 2.336452+5 5.956621-3 2.208273+5 6.000000-3 2.169274+5 6.025596-3 2.146719+5 6.095369-3 2.086751+5 6.165950-3 2.028529+5 6.237348-3 1.971989+5 6.309573-3 1.917072+5 6.456542-3 1.810733+5 6.500000-3 1.780949+5 6.606934-3 1.710336+5 6.683439-3 1.662310+5 6.760830-3 1.615360+5 6.839116-3 1.569800+5 6.918310-3 1.525581+5 7.000000-3 1.481259+5 7.079458-3 1.439865+5 7.161434-3 1.398863+5 7.244360-3 1.359085+5 7.328245-3 1.320370+5 7.413102-3 1.282778+5 7.498942-3 1.246212+5 7.585776-3 1.210745+5 7.673615-3 1.176370+5 7.762471-3 1.143025+5 7.800000-3 1.129343+5 7.943282-3 1.079226+5 8.000000-3 1.060281+5 8.035261-3 1.048748+5 8.128305-3 1.019185+5 8.222426-3 9.902169+4 8.317638-3 9.619050+4 8.500000-3 9.105038+4 8.511380-3 9.074294+4 8.609938-3 8.814083+4 8.709636-3 8.560150+4 8.810489-3 8.313514+4 8.912509-3 8.074202+4 9.120108-3 7.614695+4 9.225714-3 7.395336+4 9.332543-3 7.181967+4 9.440609-3 6.974851+4 9.549926-3 6.774043+4 9.660509-3 6.578518+4 9.772372-3 6.388785+4 9.885531-3 6.204814+4 1.000000-2 6.025846+4 1.011579-2 5.852193+4 1.023293-2 5.683823+4 1.047129-2 5.360809+4 1.059254-2 5.204771+4 1.071519-2 5.053498+4 1.080000-2 4.952302+4 1.096478-2 4.763637+4 1.109175-2 4.624596+4 1.120000-2 4.510643+4 1.135011-2 4.359083+4 1.148154-2 4.232246+4 1.150000-2 4.214857+4 1.161449-2 4.108814+4 1.188502-2 3.873073+4 1.190000-2 3.860577+4 1.202264-2 3.760081+4 1.216186-2 3.650095+4 1.230269-2 3.543451+4 1.244515-2 3.440012+4 1.258925-2 3.339624+4 1.288250-2 3.147826+4 1.300000-2 3.075037+4 1.318257-2 2.966339+4 1.333521-2 2.879096+4 1.350000-2 2.788980+4 1.364583-2 2.712333+4 1.380384-2 2.632659+4 1.396368-2 2.555159+4 1.412538-2 2.480052+4 1.445440-2 2.336432+4 1.462177-2 2.267886+4 1.479108-2 2.201272+4 1.496236-2 2.136413+4 1.500000-2 2.122474+4 1.513561-2 2.073316+4 1.548817-2 1.952907+4 1.566751-2 1.895271+4 1.584893-2 1.839420+4 1.588300-2 1.829186+4 1.588300-2 4.398524+4 1.599000-2 4.335768+4 1.602000-2 4.318416+4 1.603245-2 4.309645+4 1.621810-2 4.181577+4 1.640590-2 4.057388+4 1.659587-2 3.936775+4 1.675000-2 3.842225+4 1.698244-2 3.700171+4 1.717908-2 3.585609+4 1.737801-2 3.477256+4 1.778279-2 3.270374+4 1.798871-2 3.171564+4 1.800000-2 3.166267+4 1.819701-2 3.073721+4 1.840772-2 2.978787+4 1.862087-2 2.886843+4 1.883649-2 2.797788+4 1.900000-2 2.732754+4 1.905461-2 2.711460+4 1.916300-2 2.669784+4 1.916300-2 3.754961+4 1.927525-2 3.701874+4 1.934000-2 3.671748+4 1.949845-2 3.595101+4 1.950000-2 3.594362+4 1.960000-2 3.547120+4 1.972423-2 3.488562+4 1.984800-2 3.431557+4 1.984800-2 3.965265+4 2.000000-2 3.888507+4 2.001000-2 3.883637+4 2.018366-2 3.800487+4 2.041738-2 3.691488+4 2.065380-2 3.585654+4 2.080000-2 3.522343+4 2.089296-2 3.483176+4 2.113489-2 3.383806+4 2.120000-2 3.357756+4 2.150000-2 3.240636+4 2.162719-2 3.192579+4 2.214200-2 3.007892+4 2.238721-2 2.925229+4 2.264644-2 2.841304+4 2.290868-2 2.759019+4 2.317395-2 2.679175+4 2.344229-2 2.600961+4 2.371374-2 2.525064+4 2.398833-2 2.451423+4 2.400000-2 2.448360+4 2.426610-2 2.379908+4 2.454709-2 2.310434+4 2.483133-2 2.242899+4 2.511886-2 2.177368+4 2.540973-2 2.113910+4 2.570396-2 2.052354+4 2.600160-2 1.992401+4 2.630268-2 1.934247+4 2.660725-2 1.877841+4 2.691535-2 1.823114+4 2.722701-2 1.769633+4 2.754229-2 1.717753+4 2.786121-2 1.667080+4 2.800000-2 1.645657+4 2.818383-2 1.617839+4 2.851018-2 1.570064+4 2.884032-2 1.523727+4 2.917427-2 1.478796+4 2.951209-2 1.435222+4 2.985383-2 1.392956+4 3.000000-2 1.375410+4 3.019952-2 1.351862+4 3.054921-2 1.311946+4 3.126079-2 1.235039+4 3.235937-2 1.127524+4 3.273407-2 1.093784+4 3.311311-2 1.061071+4 3.388442-2 9.986218+3 3.427678-2 9.688213+3 3.467369-2 9.399317+3 3.507519-2 9.119261+3 3.589219-2 8.584457+3 3.630781-2 8.329162+3 3.672823-2 8.081437+3 3.715352-2 7.839572+3 3.758374-2 7.605087+3 3.800000-2 7.387191+3 3.845918-2 7.156649+3 3.935501-2 6.732537+3 3.981072-2 6.528809+3 4.027170-2 6.331382+3 4.073803-2 6.140057+3 4.168694-2 5.775011+3 4.265795-2 5.432016+3 4.300000-2 5.317988+3 4.315191-2 5.268373+3 4.365158-2 5.109678+3 4.415704-2 4.955682+3 4.500000-2 4.712038+3 4.623810-2 4.383566+3 4.677351-2 4.250748+3 4.731513-2 4.122046+3 4.786301-2 3.997330+3 4.800000-2 3.966971+3 4.841724-2 3.876057+3 4.897788-2 3.758385+3 4.954502-2 3.644368+3 5.000000-2 3.556361+3 5.011872-2 3.533880+3 5.069907-2 3.426790+3 5.128614-2 3.322121+3 5.188000-2 3.220701+3 5.248075-2 3.122361+3 5.559043-2 2.674721+3 5.688529-2 2.514562+3 5.754399-2 2.438177+3 5.800000-2 2.387174+3 5.821032-2 2.364063+3 5.888437-2 2.292064+3 5.956621-2 2.222069+3 6.000000-2 2.178999+3 6.025596-2 2.154123+3 6.095369-2 2.088291+3 6.237348-2 1.961808+3 6.683439-2 1.627295+3 6.760830-2 1.577484+3 6.839116-2 1.529219+3 6.918310-2 1.482459+3 6.998420-2 1.437155+3 7.079458-2 1.393264+3 7.161434-2 1.350663+3 7.244360-2 1.309163+3 7.328245-2 1.268962+3 7.413102-2 1.229817+3 7.585776-2 1.155130+3 8.035261-2 9.879943+2 8.128305-2 9.576433+2 8.222426-2 9.282376+2 8.317638-2 8.996120+2 8.511380-2 8.450237+2 8.609938-2 8.189624+2 8.709636-2 7.937125+2 8.912509-2 7.455325+2 9.015711-2 7.225692+2 9.549926-2 6.180839+2 9.772372-2 5.804968+2 1.000000-1 5.451990+2 1.011580-1 5.283749+2 1.023293-1 5.120777+2 1.047129-1 4.809954+2 1.059254-1 4.661607+2 1.071900-1 4.513505+2 1.071900-1 1.979492+3 1.081000-1 1.938292+3 1.083927-1 1.925296+3 1.096478-1 1.870937+3 1.097000-1 1.868723+3 1.107000-1 1.824553+3 1.109175-1 1.816064+3 1.122019-1 1.767069+3 1.123000-1 1.763405+3 1.135011-1 1.714518+3 1.153000-1 1.644654+3 1.161449-1 1.615034+3 1.202264-1 1.482030+3 1.205000-1 1.473674+3 1.216186-1 1.438773+3 1.230269-1 1.396446+3 1.258925-1 1.315509+3 1.273503-1 1.276814+3 1.288250-1 1.239260+3 1.303167-1 1.202817+3 1.333521-1 1.133128+3 1.380384-1 1.036920+3 1.412538-1 9.773092+2 1.428894-1 9.488080+2 1.445440-1 9.211403+2 1.462177-1 8.942838+2 1.479108-1 8.682130+2 1.500000-1 8.374801+2 1.531088-1 7.944876+2 1.566751-1 7.483345+2 1.603245-1 7.048862+2 1.640590-1 6.639841+2 1.644310-1 6.600919+2 1.678804-1 6.254638+2 1.737801-1 5.718442+2 1.757924-1 5.550157+2 1.798871-1 5.228349+2 1.862087-1 4.780412+2 1.883649-1 4.639821+2 1.905461-1 4.503376+2 1.927525-1 4.371018+2 1.949845-1 4.242570+2 1.995262-1 3.996923+2 2.000000-1 3.972444+2 2.018366-1 3.879501+2 2.041738-1 3.765596+2 2.065380-1 3.655048+2 2.137962-1 3.342540+2 2.264644-1 2.880063+2 2.290868-1 2.795574+2 2.317395-1 2.713611+2 2.344229-1 2.634058+2 2.371374-1 2.556844+2 2.398833-1 2.481943+2 2.426610-1 2.409899+2 2.483133-1 2.272055+2 2.511886-1 2.206128+2 2.540973-1 2.142116+2 2.570396-1 2.079971+2 2.600160-1 2.019646+2 2.630268-1 1.961075+2 2.660725-1 1.904206+2 2.691535-1 1.849024+2 2.722701-1 1.795446+2 2.754229-1 1.743421+2 2.786121-1 1.692910+2 2.818383-1 1.643864+2 2.851018-1 1.596338+2 2.884032-1 1.550188+2 2.917427-1 1.505976+2 2.951209-1 1.463027+2 2.985383-1 1.421306+2 3.000000-1 1.403969+2 3.000060-1 1.403898+2 3.054921-1 1.341409+2 3.090295-1 1.303184+2 3.162278-1 1.229984+2 3.198895-1 1.194944+2 3.235937-1 1.160904+2 3.273407-1 1.127850+2 3.311311-1 1.095739+2 3.349654-1 1.064567+2 3.388442-1 1.034284+2 3.427678-1 1.005312+2 3.467369-1 9.771976+1 3.507519-1 9.498857+1 3.589219-1 8.975418+1 3.630781-1 8.724628+1 3.672823-1 8.480865+1 3.715352-1 8.243930+1 3.722400-1 8.205568+1 3.801894-1 7.789760+1 3.845918-1 7.572331+1 3.890451-1 7.360990+1 3.935501-1 7.155801+1 3.981072-1 6.960114+1 4.027170-1 6.769819+1 4.073803-1 6.584735+1 4.120975-1 6.405051+1 4.168694-1 6.230281+1 4.315191-1 5.734109+1 4.365158-1 5.577886+1 4.415705-1 5.425921+1 4.466836-1 5.278133+1 4.518559-1 5.136900+1 4.570882-1 4.999461+1 4.623810-1 4.865786+1 4.677351-1 4.735693+1 4.786301-1 4.486379+1 4.841724-1 4.366696+1 4.897788-1 4.250274+1 4.954502-1 4.137052+1 5.011872-1 4.026851+1 5.069907-1 3.919625+1 5.128614-1 3.817205+1 5.188000-1 3.717471+1 5.248075-1 3.620353+1 5.308844-1 3.525835+1 5.370318-1 3.433787+1 5.432503-1 3.344192+1 5.495409-1 3.257127+1 5.559043-1 3.172405+1 5.623413-1 3.089890+1 5.688529-1 3.009534+1 5.754399-1 2.931288+1 5.821032-1 2.856618+1 5.888437-1 2.783858+1 5.956621-1 2.712955+1 6.000000-1 2.669223+1 6.025596-1 2.643897+1 6.095369-1 2.576647+1 6.165950-1 2.511108+1 6.237348-1 2.447299+1 6.309573-1 2.385262+1 6.382635-1 2.324800+1 6.456542-1 2.265887+1 6.531306-1 2.209647+1 6.606935-1 2.154809+1 6.683439-1 2.101367+1 6.760830-1 2.049252+1 6.918310-1 1.948871+1 6.998420-1 1.900626+1 7.079458-1 1.853576+1 7.161434-1 1.807693+1 7.328245-1 1.719540+1 7.413102-1 1.678014+1 7.585776-1 1.597951+1 7.673615-1 1.559365+1 7.762471-1 1.521715+1 7.852356-1 1.485013+1 7.943282-1 1.449196+1 8.035261-1 1.414268+1 8.128305-1 1.380214+1 8.317638-1 1.314725+1 8.413951-1 1.283159+1 8.511380-1 1.253047+1 8.609938-1 1.223677+1 8.709636-1 1.194996+1 8.810489-1 1.167017+1 8.912509-1 1.139700+1 9.015711-1 1.113023+1 9.120108-1 1.086994+1 9.225714-1 1.061576+1 9.332543-1 1.036829+1 9.440609-1 1.012714+1 9.549926-1 9.897700+0 9.660509-1 9.673532+0 9.772372-1 9.454447+0 9.885531-1 9.240323+0 1.000000+0 9.031313+0 1.011579+0 8.827203+0 1.023293+0 8.627926+0 1.035142+0 8.433159+0 1.047129+0 8.242833+0 1.059254+0 8.057158+0 1.071519+0 7.875707+0 1.083927+0 7.698455+0 1.096478+0 7.525213+0 1.109175+0 7.358429+0 1.122018+0 7.195529+0 1.135011+0 7.036220+0 1.148154+0 6.880444+0 1.161449+0 6.728188+0 1.188502+0 6.433916+0 1.202264+0 6.291642+0 1.216186+0 6.152637+0 1.230269+0 6.016710+0 1.250000+0 5.834541+0 1.258925+0 5.754891+0 1.273503+0 5.631700+0 1.303167+0 5.393400+0 1.318257+0 5.278060+0 1.333521+0 5.165192+0 1.348963+0 5.054729+0 1.364583+0 4.946744+0 1.380384+0 4.841068+0 1.412538+0 4.637251+0 1.428894+0 4.538631+0 1.496236+0 4.173920+0 1.513561+0 4.087420+0 1.531087+0 4.002711+0 1.548817+0 3.919839+0 1.584893+0 3.759749+0 1.603245+0 3.682174+0 1.659587+0 3.464948+0 1.717908+0 3.260587+0 1.737801+0 3.195218+0 1.757924+0 3.131228+0 1.798871+0 3.007490+0 1.819701+0 2.947468+0 1.840772+0 2.890334+0 1.862087+0 2.834309+0 1.883649+0 2.779368+0 1.949845+0 2.620895+0 1.972423+0 2.570141+0 2.000000+0 2.510301+0 2.018366+0 2.471795+0 2.041738+0 2.424137+0 2.044000+0 2.419602+0 2.065380+0 2.377400+0 2.089296+0 2.332767+0 2.137962+0 2.245998+0 2.238721+0 2.082061+0 2.264644+0 2.043007+0 2.290868+0 2.004721+0 2.317395+0 1.967272+0 2.344229+0 1.930523+0 2.371374+0 1.894461+0 2.398833+0 1.859987+0 2.454709+0 1.792908+0 2.570396+0 1.665951+0 2.600160+0 1.635661+0 2.630268+0 1.605952+0 2.660725+0 1.576877+0 2.691535+0 1.548328+0 2.722701+0 1.520297+0 2.754229+0 1.493517+0 2.818383+0 1.441366+0 2.951209+0 1.342486+0 3.000000+0 1.308964+0 3.019952+0 1.295666+0 3.054921+0 1.272969+0 3.090295+0 1.250670+0 3.126079+0 1.228762+0 3.162278+0 1.207853+0 3.235937+0 1.167097+0 3.427678+0 1.071147+0 3.467369+0 1.052937+0 3.507519+0 1.035055+0 3.548134+0 1.017535+0 3.589219+0 1.000312+0 3.630781+0 9.833802-1 3.672823+0 9.672015-1 3.758374+0 9.356377-1 4.000000+0 8.553154-1 4.027170+0 8.470203-1 4.073803+0 8.331110-1 4.120975+0 8.194748-1 4.216965+0 7.928681-1 4.265795+0 7.798909-1 4.315191+0 7.674785-1 4.415704+0 7.432435-1 4.677351+0 6.859651-1 4.731513+0 6.750572-1 4.786301+0 6.643339-1 4.841724+0 6.538156-1 4.954502+0 6.332760-1 5.011872+0 6.232498-1 5.069907+0 6.136555-1 5.188000+0 5.949077-1 5.495409+0 5.505165-1 5.559043+0 5.420493-1 5.623413+0 5.337208-1 5.754399+0 5.174975-1 5.888437+0 5.017672-1 5.956621+0 4.940826-1 6.025596+0 4.867165-1 6.165950+0 4.723122-1 6.606934+0 4.316162-1 6.683439+0 4.251869-1 6.760830+0 4.188598-1 6.918310+0 4.065262-1 7.079458+0 3.945558-1 7.161434+0 3.887036-1 7.244360+0 3.830927-1 7.413102+0 3.721130-1 7.943282+0 3.410332-1 8.035261+0 3.361149-1 8.128305+0 3.312725-1 8.317638+0 3.218264-1 8.413951+0 3.172049-1 8.511380+0 3.126498-1 8.609938+0 3.081601-1 8.709636+0 3.038448-1 8.912509+0 2.953946-1 9.772372+0 2.638860-1 9.885531+0 2.601937-1 1.000000+1 2.565567-1 1.023293+1 2.494568-1 1.035142+1 2.459809-1 1.047129+1 2.425533-1 1.059254+1 2.392563-1 1.083927+1 2.327963-1 1.230269+1 2.002667-1 1.244515+1 1.975466-1 1.258925+1 1.948643-1 1.273503+1 1.922200-1 1.303167+1 1.870545-1 1.318257+1 1.845240-1 1.333521+1 1.820279-1 1.348963+1 1.796280-1 1.364583+1 1.772600-1 1.531087+1 1.552347-1 1.548817+1 1.531897-1 1.566751+1 1.511720-1 1.584893+1 1.491810-1 1.600000+1 1.475648-1 1.603245+1 1.472220-1 1.640590+1 1.433808-1 1.659587+1 1.414980-1 1.678804+1 1.396399-1 1.698244+1 1.378423-1 1.757924+1 1.325871-1 1.972423+1 1.164774-1 2.000000+1 1.146726-1 2.018366+1 1.135000-1 2.041738+1 1.120448-1 2.065380+1 1.106084-1 2.089296+1 1.091903-1 2.113489+1 1.077905-1 2.137962+1 1.064352-1 2.238721+1 1.011824-1 2.691535+1 8.264137-2 2.722701+1 8.160287-2 2.754229+1 8.058057-2 2.786121+1 7.957117-2 2.800000+1 7.913940-2 2.818383+1 7.857438-2 2.851018+1 7.760863-2 2.985383+1 7.386282-2 3.758374+1 5.767981-2 3.801894+1 5.697153-2 3.845918+1 5.627347-2 3.890451+1 5.558400-2 3.935501+1 5.490296-2 3.981072+1 5.424118-2 4.000000+1 5.397086-2 4.216965+1 5.105005-2 5.495409+1 3.862619-2 5.559043+1 3.816099-2 5.623413+1 3.770226-2 5.688529+1 3.724906-2 5.754399+1 3.680130-2 5.888437+1 3.593383-2 6.309573+1 3.345220-2 8.810489+1 2.367163-2 8.912509+1 2.339118-2 9.015711+1 2.311452-2 9.120108+1 2.284114-2 9.225714+1 2.257424-2 9.332543+1 2.231060-2 9.440609+1 2.205003-2 1.011579+2 2.054930-2 1.621810+2 1.269505-2 1.640590+2 1.254685-2 1.659587+2 1.240051-2 1.678804+2 1.225589-2 1.717908+2 1.197169-2 1.737801+2 1.183207-2 1.757924+2 1.169505-2 1.798871+2 1.142584-2 1.840772+2 1.116281-2 2.018366+2 1.016990-2 3.235937+2 6.309367-3 3.273407+2 6.236350-3 3.311311+2 6.164232-3 3.349654+2 6.092952-3 3.427678+2 5.952855-3 3.467369+2 5.884020-3 3.507519+2 5.816364-3 3.589219+2 5.683407-3 3.672823+2 5.553487-3 4.027170+2 5.062839-3 1.288250+3 1.574889-3 1.303167+3 1.556789-3 1.318257+3 1.538903-3 1.333521+3 1.521225-3 1.364583+3 1.486473-3 1.380384+3 1.469396-3 1.396368+3 1.452567-3 1.428894+3 1.419489-3 1.462177+3 1.387165-3 1.603245+3 1.265061-3 1.000000+5 2.024966-5 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.000000-6 4.000000-6 4.490000-6 4.000000-6 4.490000-6 4.161981-6 5.410000-6 4.175700-6 5.410000-6 4.718400-6 6.200000-6 4.591044-6 7.000000-6 4.497510-6 7.585776-6 4.447601-6 8.609938-6 4.385794-6 1.000000-5 4.335121-6 1.216186-5 4.295506-6 1.584893-5 4.269672-6 2.195000-5 4.259536-6 2.195000-5 1.963821-5 2.660725-5 1.930471-5 2.931000-5 1.914562-5 2.931000-5 2.408526-5 3.589219-5 2.419456-5 4.517000-5 2.416037-5 4.517000-5 2.555974-5 5.248075-5 2.534695-5 6.025596-5 2.531752-5 7.413102-5 2.555257-5 8.638000-5 2.586590-5 8.638000-5 7.484165-5 8.660000-5 7.560980-5 8.720000-5 7.706591-5 8.780000-5 7.810930-5 8.885000-5 7.937647-5 9.020000-5 8.041030-5 9.225714-5 8.128791-5 9.282000-5 8.143599-5 9.282000-5 8.360489-5 9.485000-5 8.480038-5 9.772372-5 8.575347-5 1.012000-4 8.625354-5 1.071519-4 8.622479-5 1.273503-4 8.483196-5 1.445440-4 8.293642-5 1.659587-4 7.987225-5 1.746600-4 7.846426-5 1.746600-4 1.044814-4 1.930000-4 1.069579-4 2.020000-4 1.077899-4 2.187900-4 1.088361-4 2.187900-4 1.212547-4 2.305000-4 1.213820-4 2.741000-4 1.185691-4 2.741000-4 1.276682-4 3.197400-4 1.253228-4 3.197400-4 1.393917-4 3.289000-4 1.397499-4 3.289000-4 1.466647-4 3.375300-4 1.485140-4 3.420000-4 1.504661-4 3.458000-4 1.530905-4 3.495000-4 1.565800-4 3.555000-4 1.636419-4 3.635000-4 1.735836-4 3.700000-4 1.804735-4 3.765000-4 1.859595-4 3.815000-4 1.893620-4 3.880000-4 1.929026-4 3.981072-4 1.968600-4 4.100000-4 1.998372-4 4.265795-4 2.023392-4 4.518559-4 2.042763-4 4.970000-4 2.055376-4 5.956621-4 2.057870-4 6.396200-4 2.055788-4 6.396200-4 2.169373-4 6.755100-4 2.175737-4 6.755100-4 2.237614-4 9.114400-4 2.324308-4 9.114400-4 2.446472-4 1.104800-3 2.525749-4 1.104800-3 2.559668-4 1.249500-3 2.616802-4 1.249500-3 2.669442-4 1.531087-3 2.775562-4 1.883649-3 2.882654-4 2.264644-3 2.976361-4 2.722701-3 3.067349-4 3.224100-3 3.148803-4 3.224100-3 4.641367-4 3.379600-3 4.644085-4 3.379600-3 4.924942-4 3.903900-3 4.929355-4 3.903900-3 5.311207-4 4.654700-3 5.366657-4 4.654700-3 5.556090-4 4.974300-3 5.593749-4 4.974300-3 5.761390-4 6.606934-3 5.968186-4 8.609938-3 6.168762-4 1.109175-2 6.360384-4 1.412538-2 6.538820-4 1.588300-2 6.622858-4 1.588300-2 8.100339-4 1.916300-2 8.145456-4 1.916300-2 8.478857-4 1.984800-2 8.487760-4 1.984800-2 9.122142-4 2.884032-2 9.380510-4 4.073803-2 9.620734-4 5.559043-2 9.830857-4 7.585776-2 1.003317-3 1.023293-1 1.021361-3 1.071900-1 1.024013-3 1.071900-1 9.342441-4 2.691535-1 9.404949-4 7.161434-1 9.437737-4 1.000000+5 9.441733-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.000000-6 0.0 1.746600-4 0.0 1.746600-4 7.17853-10 1.820000-4 7.70568-10 1.883649-4 8.12264-10 1.950000-4 8.50827-10 2.000000-4 8.75657-10 2.113489-4 9.19971-10 2.187900-4 9.42798-10 2.187900-4 2.599953-9 2.270000-4 2.599318-9 2.317395-4 2.577373-9 2.350000-4 2.554066-9 2.511886-4 2.394779-9 2.700000-4 2.217750-9 2.741000-4 2.182620-9 2.741000-4 2.332937-9 2.951209-4 2.175044-9 3.100000-4 2.073055-9 3.197400-4 2.013567-9 3.197400-4 1.882981-8 3.250000-4 1.928794-8 3.289000-4 1.967701-8 3.289000-4 1.815269-8 3.304000-4 1.824991-8 3.322000-4 1.844041-8 3.335000-4 1.864865-8 3.350000-4 1.897718-8 3.365000-4 1.942121-8 3.375300-4 1.979753-8 3.390000-4 2.044313-8 3.400000-4 2.095866-8 3.415000-4 2.184709-8 3.430000-4 2.287649-8 3.445000-4 2.404273-8 3.458000-4 2.515982-8 3.472000-4 2.646722-8 3.490000-4 2.828883-8 3.515000-4 3.102100-8 3.570000-4 3.729805-8 3.590000-4 3.948692-8 3.610000-4 4.152638-8 3.635000-4 4.386080-8 3.657000-4 4.569081-8 3.680000-4 4.739638-8 3.700000-4 4.872490-8 3.730000-4 5.048677-8 3.765000-4 5.223288-8 3.790000-4 5.335024-8 3.815000-4 5.433185-8 3.850000-4 5.551406-8 3.880000-4 5.634898-8 3.935501-4 5.752214-8 4.000000-4 5.842862-8 4.100000-4 5.927638-8 4.235600-4 5.992617-8 4.390000-4 6.020424-8 4.850000-4 6.026019-8 6.396200-4 5.937934-8 6.396200-4 6.195891-8 6.755100-4 6.192261-8 6.755100-4 6.838916-8 8.317638-4 7.126558-8 9.114400-4 7.273437-8 9.114400-4 8.739545-8 9.885531-4 8.982238-8 1.104800-3 9.310540-8 1.104800-3 9.707146-8 1.249500-3 1.015958-7 1.249500-3 1.090303-7 1.479108-3 1.169673-7 1.698244-3 1.236802-7 1.995262-3 1.318366-7 2.264644-3 1.384284-7 2.650000-3 1.467689-7 3.054921-3 1.544202-7 3.224100-3 1.573957-7 3.224100-3 2.038526-7 3.379600-3 2.047019-7 3.379600-3 3.887046-5 3.600000-3 3.948107-5 3.903900-3 3.942934-5 3.903900-3 3.913686-5 4.466836-3 3.876738-5 4.654700-3 3.864365-5 4.654700-3 4.322482-5 4.974300-3 4.346981-5 4.974300-3 4.416626-5 6.165950-3 4.506239-5 7.800000-3 4.600208-5 1.023293-2 4.710414-5 1.350000-2 4.816178-5 1.588300-2 4.876903-5 1.588300-2 3.286305-3 1.603245-2 3.295298-3 1.698244-2 3.290359-3 1.916300-2 3.266052-3 1.916300-2 4.833736-3 1.984800-2 4.850228-3 1.984800-2 5.060045-3 2.540973-2 5.120335-3 3.273407-2 5.161442-3 4.623810-2 5.195508-3 8.222426-2 5.210366-3 1.071900-1 5.209321-3 1.071900-1 7.534870-2 1.273503-1 7.596992-2 1.678804-1 7.668352-2 2.540973-1 7.733251-2 4.954502-1 7.808331-2 9.332543-1 7.872876-2 1.000000+5 7.876676-2 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.000000-6 0.0 4.490000-6 4.900000-7 4.490000-6 3.280192-7 4.954502-6 7.843983-7 5.410000-6 1.234300-6 5.410000-6 6.915998-7 5.559043-6 8.677398-7 5.821032-6 1.173370-6 6.200000-6 1.608956-6 6.600000-6 2.059726-6 7.000000-6 2.502490-6 7.585776-6 3.138175-6 8.609938-6 4.224144-6 1.023293-5 5.903675-6 1.333521-5 9.051460-6 2.195000-5 1.769046-5 2.195000-5 2.311788-6 2.371374-5 4.212350-6 2.660725-5 7.302541-6 2.931000-5 1.016438-5 2.931000-5 5.224739-6 3.054921-5 6.424089-6 3.507519-5 1.088409-5 4.265795-5 1.847413-5 4.517000-5 2.100963-5 4.517000-5 1.961026-5 5.248075-5 2.713380-5 6.095369-5 3.563128-5 8.222426-5 5.647104-5 8.638000-5 6.051410-5 8.638000-5 1.153835-5 8.642000-5 1.136746-5 8.660000-5 1.099020-5 8.680000-5 1.064432-5 8.700000-5 1.036322-5 8.720000-5 1.013409-5 8.750000-5 9.873703-6 8.780000-5 9.690696-6 8.815000-5 9.556172-6 8.850000-5 9.487411-6 8.885000-5 9.473531-6 8.920000-5 9.505720-6 8.970000-5 9.616525-6 9.020000-5 9.789695-6 9.070000-5 1.001426-5 9.130000-5 1.034062-5 9.190000-5 1.071887-5 9.250000-5 1.114097-5 9.282000-5 1.138401-5 9.282000-5 9.215105-6 9.287000-5 9.212492-6 9.332543-5 9.349232-6 9.385000-5 9.554765-6 9.450000-5 9.863544-6 9.520000-5 1.024903-5 9.610000-5 1.080936-5 9.700000-5 1.142993-5 9.800000-5 1.218252-5 9.900000-5 1.299239-5 1.000000-4 1.385337-5 1.012000-4 1.494646-5 1.027000-4 1.638392-5 1.055000-4 1.920964-5 1.096478-4 2.355752-5 1.230269-4 3.783039-5 1.330000-4 4.871652-5 1.479108-4 6.541450-5 1.659587-4 8.608645-5 1.746600-4 9.619574-5 1.746600-4 7.017788-5 1.905461-4 8.387562-5 2.020000-4 9.420925-5 2.187900-4 1.099529-4 2.187900-4 9.753272-5 2.305000-4 1.091154-4 2.741000-4 1.555288-4 2.741000-4 1.464295-4 3.197400-4 1.944152-4 3.197400-4 1.803295-4 3.289000-4 1.891304-4 3.289000-4 1.822171-4 3.375300-4 1.889962-4 3.420000-4 1.915117-4 3.465000-4 1.927907-4 3.515000-4 1.926803-4 3.635000-4 1.898725-4 3.700000-4 1.894778-4 3.765000-4 1.904882-4 3.815000-4 1.920836-4 3.880000-4 1.950411-4 3.981072-4 2.011890-4 4.100000-4 2.101036-4 4.280000-4 2.254388-4 4.570882-4 2.525209-4 5.150000-4 3.092210-4 6.396200-4 4.339818-4 6.396200-4 4.226207-4 6.755100-4 4.578744-4 6.755100-4 4.516802-4 9.114400-4 6.789364-4 9.114400-4 6.667054-4 1.104800-3 8.521320-4 1.104800-3 8.487361-4 1.249500-3 9.877183-4 1.249500-3 9.824468-4 1.905461-3 1.616475-3 3.224100-3 2.909062-3 3.224100-3 2.759760-3 3.379600-3 2.914987-3 3.379600-3 2.848235-3 3.903900-3 3.371535-3 3.903900-3 3.333643-3 4.654700-3 4.079391-3 4.654700-3 4.055866-3 4.974300-3 4.371455-3 4.974300-3 4.353995-3 1.190000-2 1.121097-2 1.588300-2 1.517195-2 1.588300-2 1.178666-2 1.862087-2 1.453348-2 1.916300-2 1.508240-2 1.916300-2 1.348138-2 1.984800-2 1.414900-2 1.984800-2 1.387574-2 3.311311-2 2.700248-2 1.071900-1 1.009567-1 1.071900-1 3.090705-2 1.135011-1 3.697565-2 1.258925-1 4.901641-2 1.678804-1 9.025937-2 3.090295-1 2.305199-1 1.972423+0 1.892706+0 1.000000+5 9.999992+4 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.071900-1 1.528142+3 1.097000-1 1.444904+3 1.107000-1 1.411058+3 1.123000-1 1.365718+3 1.153000-1 1.274512+3 1.205000-1 1.145450+3 1.333521-1 8.839425+2 1.531088-1 6.233218+2 2.398833-1 1.968016+2 2.884032-1 1.233144+2 3.388442-1 8.248695+1 3.935501-1 5.719452+1 4.466836-1 4.226911+1 5.069907-1 3.144857+1 5.754399-1 2.356220+1 6.456542-1 1.824482+1 7.328245-1 1.387149+1 8.413951-1 1.037132+1 9.440609-1 8.195571+0 1.096478+0 6.094675+0 1.258925+0 4.660774+0 1.428894+0 3.674861+0 1.603245+0 2.980964+0 1.819701+0 2.386178+0 2.065380+0 1.924772+0 2.371374+0 1.533801+0 2.722701+0 1.230854+0 3.126079+0 9.948064-1 3.630781+0 7.961510-1 4.265795+0 6.313929-1 5.011872+0 5.045803-1 5.956621+0 3.999997-1 7.161434+0 3.146892-1 8.609938+0 2.494844-1 1.047129+1 1.963730-1 1.333521+1 1.473711-1 1.678804+1 1.130547-1 2.113489+1 8.727087-2 2.818383+1 6.361734-2 3.935501+1 4.445213-2 5.754399+1 2.979648-2 9.120108+1 1.849375-2 1.737801+2 9.579982-3 3.467369+2 4.764077-3 1.380384+3 1.189735-3 1.000000+5 1.639600-5 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.071900-1 9.077300-4 1.000000+5 9.077300-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.071900-1 9.606500-2 1.000000+5 9.606500-2 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.071900-1 1.021727-2 1.000000+5 9.999990+4 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 1.984800-2 5.337079+3 2.000000-2 5.251920+3 2.120000-2 4.756220+3 2.162719-2 4.587279+3 2.264644-2 4.252417+3 2.511886-2 3.523216+3 2.754229-2 2.987883+3 3.126079-2 2.349582+3 3.935501-2 1.487345+3 4.415704-2 1.171694+3 5.069907-2 8.760562+2 6.095369-2 5.866753+2 7.161434-2 4.089219+2 8.222426-2 2.981573+2 9.549926-2 2.104247+2 1.135011-1 1.397490+2 1.380384-1 8.722995+1 2.818383-1 1.523416+1 3.427678-1 9.503112+0 4.073803-1 6.310940+0 4.677351-1 4.577907+0 5.432503-1 3.258333+0 6.237348-1 2.397727+0 7.161434-1 1.777220+0 8.128305-1 1.359824+0 9.225714-1 1.048418+0 1.047129+0 8.148951-1 1.230269+0 5.948939-1 1.380384+0 4.785023-1 1.548817+0 3.873865-1 1.757924+0 3.094523-1 2.000000+0 2.480847-1 2.290868+0 1.981013-1 2.630268+0 1.586981-1 3.019952+0 1.280370-1 3.507519+0 1.022872-1 4.073803+0 8.232093-2 4.786301+0 6.564626-2 5.623413+0 5.273593-2 6.760830+0 4.138737-2 8.128305+0 3.273250-2 1.000000+1 2.535300-2 1.273503+1 1.899457-2 1.584893+1 1.474356-2 2.018366+1 1.121723-2 2.722701+1 8.066115-3 3.801894+1 5.631721-3 5.559043+1 3.772335-3 8.912509+1 2.312513-3 1.640590+2 1.240338-3 3.273407+2 6.165533-4 1.303167+3 1.539243-4 1.000000+5 2.002300-6 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 1.984800-2 1.320100-3 1.000000+5 1.320100-3 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.984800-2 6.409100-3 1.000000+5 6.409100-3 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 1.984800-2 1.211880-2 1.000000+5 9.999999+4 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.916300-2 1.085177+4 1.934000-2 1.068137+4 1.960000-2 1.036700+4 2.018366-2 9.660800+3 2.080000-2 8.960700+3 2.162719-2 8.149000+3 2.454709-2 5.907400+3 2.691535-2 4.665300+3 3.000000-2 3.504800+3 3.672823-2 2.038100+3 4.623810-2 1.081600+3 5.800000-2 5.726000+2 7.328245-2 2.940700+2 9.772372-2 1.283800+2 1.603245-1 3.068300+1 2.018366-1 1.586300+1 2.371374-1 1.005100+1 2.818383-1 6.206300+0 3.311311-1 3.994440+0 3.801894-1 2.758281+0 4.315191-1 1.978309+0 4.897788-1 1.429317+0 5.495409-1 1.070906+0 6.165950-1 8.080711-1 6.918310-1 6.144197-1 7.762471-1 4.703617-1 8.511380-1 3.822880-1 9.332543-1 3.129874-1 1.011579+0 2.645356-1 1.109175+0 2.198539-1 1.230269+0 1.798482-1 1.380384+0 1.449941-1 1.603245+0 1.105875-1 1.819701+0 8.852411-2 2.065380+0 7.139519-2 2.371374+0 5.689837-2 2.722701+0 4.567081-2 3.126079+0 3.691996-2 3.630781+0 2.954746-2 4.265795+0 2.343261-2 5.011872+0 1.872616-2 5.956621+0 1.484575-2 7.161434+0 1.167901-2 8.609938+0 9.259183-3 1.047129+1 7.287853-3 1.333521+1 5.469306-3 1.678804+1 4.195812-3 2.113489+1 3.238907-3 2.818383+1 2.361063-3 3.935501+1 1.649748-3 5.754399+1 1.105842-3 9.225714+1 6.782766-4 1.757924+2 3.514177-4 3.507519+2 1.747713-4 1.396368+3 4.364841-5 1.000000+5 6.085200-7 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.916300-2 9.299100-4 1.000000+5 9.299100-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.916300-2 8.690600-3 1.000000+5 8.690600-3 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.916300-2 9.542490-3 1.000000+5 9.999999+4 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.588300-2 2.569338+4 1.602000-2 2.529570+4 1.675000-2 2.249576+4 1.717908-2 2.095093+4 1.800000-2 1.846888+4 2.089296-2 1.216233+4 2.317395-2 9.076048+3 2.570396-2 6.722483+3 3.054921-2 4.059255+3 3.845918-2 2.039532+3 4.800000-2 1.037868+3 5.888437-2 5.513121+2 7.328245-2 2.778181+2 9.549926-2 1.202143+2 1.566751-1 2.494473+1 1.905461-1 1.347072+1 2.290868-1 7.595850+0 2.660725-1 4.802744+0 3.054921-1 3.168565+0 3.467369-1 2.179740+0 3.890451-1 1.562071+0 4.315191-1 1.164940+0 4.841724-1 8.472582-1 5.370318-1 6.405771-1 5.956621-1 4.876487-1 6.606935-1 3.738731-1 8.035261-1 2.299377-1 8.709636-1 1.896729-1 9.332543-1 1.619428-1 9.885531-1 1.427976-1 1.071519+0 1.208137-1 1.161449+0 1.029061-1 1.273503+0 8.629678-2 1.412538+0 7.137388-2 1.717908+0 5.034537-2 1.949845+0 4.044199-2 2.238721+0 3.212167-2 2.570396+0 2.570099-2 2.951209+0 2.071051-2 3.427678+0 1.652569-2 4.000000+0 1.319600-2 4.677351+0 1.058310-2 5.495409+0 8.493069-3 6.606934+0 6.658766-3 7.943282+0 5.261161-3 9.772372+0 4.071451-3 1.230269+1 3.089641-3 1.531087+1 2.394970-3 1.972423+1 1.797159-3 2.691535+1 1.275442-3 3.758374+1 8.902728-4 5.495409+1 5.961986-4 8.810489+1 3.654195-4 1.621810+2 1.959692-4 3.235937+2 9.740644-5 1.288250+3 2.431421-5 1.000000+5 3.126700-7 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.588300-2 9.152200-4 1.000000+5 9.152200-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.588300-2 5.591200-3 1.000000+5 5.591200-3 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.588300-2 9.376580-3 1.000000+5 9.999999+4 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 4.974300-3 1.401677+4 5.370318-3 1.269091+4 5.500000-3 1.233448+4 5.956621-3 1.103166+4 6.500000-3 9.805460+3 6.918310-3 8.936164+3 7.585776-3 7.760503+3 8.128305-3 6.999780+3 8.709636-3 6.269258+3 1.071519-2 4.449536+3 1.188502-2 3.716409+3 1.380384-2 2.849614+3 1.603245-2 2.162853+3 1.800000-2 1.739384+3 2.150000-2 1.233134+3 2.570396-2 8.636557+2 3.054921-2 6.063943+2 3.630781-2 4.219934+2 4.300000-2 2.934400+2 5.069907-2 2.044318+2 5.956621-2 1.425288+2 7.079458-2 9.610270+1 8.511380-2 6.263414+1 1.047129-1 3.838647+1 1.258925-1 2.462801+1 2.570396-1 4.305684+0 3.235937-1 2.468320+0 3.890451-1 1.592692+0 4.570882-1 1.093593+0 5.248075-1 7.977555-1 6.025596-1 5.860695-1 6.918310-1 4.338019-1 7.943282-1 3.235609-1 9.015711-1 2.488266-1 1.000000+0 2.019995-1 1.202264+0 1.407794-1 1.348963+0 1.130750-1 1.531087+0 8.953548-2 1.737801+0 7.147339-2 1.972423+0 5.748896-2 2.264644+0 4.569286-2 2.600160+0 3.658161-2 3.000000+0 2.927600-2 3.467369+0 2.355003-2 4.027170+0 1.894340-2 4.731513+0 1.509848-2 5.559043+0 1.212308-2 6.683439+0 9.509261-3 8.035261+0 7.517001-3 9.885531+0 5.819760-3 1.258925+1 4.358378-3 1.584893+1 3.337295-3 2.018366+1 2.539012-3 2.722701+1 1.825842-3 3.758374+1 1.290541-3 5.495409+1 8.642495-4 8.810489+1 5.297037-4 1.621810+2 2.840741-4 3.235937+2 1.411928-4 1.288250+3 3.524560-5 1.000000+5 4.532500-7 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 4.974300-3 9.687500-4 1.000000+5 9.687500-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.974300-3 6.047700-5 1.000000+5 6.047700-5 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 4.974300-3 3.945073-3 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 4.654700-3 2.253965+4 4.900000-3 2.143220+4 5.128614-3 2.036739+4 5.800000-3 1.743350+4 6.025596-3 1.654147+4 6.683439-3 1.418306+4 7.413102-3 1.207955+4 8.128305-3 1.039345+4 9.549926-3 7.831168+3 1.023293-2 6.892507+3 1.190000-2 5.148480+3 1.288250-2 4.392829+3 1.496236-2 3.218057+3 1.640590-2 2.640645+3 1.900000-2 1.908720+3 2.150000-2 1.438840+3 2.400000-2 1.112862+3 2.786121-2 7.783479+2 3.235937-2 5.386007+2 3.800000-2 3.592700+2 4.415704-2 2.440587+2 5.188000-2 1.598676+2 6.095369-2 1.039487+2 7.413102-2 6.115271+1 8.709636-2 3.927304+1 1.135011-1 1.880145+1 1.927525-1 4.276280+0 2.426610-1 2.260030+0 2.884032-1 1.410281+0 3.388442-1 9.146163-1 3.890451-1 6.353483-1 4.415705-1 4.580551-1 5.011872-1 3.325906-1 5.688529-1 2.433507-1 6.382635-1 1.845022-1 7.161434-1 1.409124-1 8.035261-1 1.084557-1 8.810489-1 8.837643-2 9.549926-1 7.432329-2 1.035142+0 6.292102-2 1.148154+0 5.120441-2 1.273503+0 4.198115-2 1.428894+0 3.391857-2 1.659587+0 2.591476-2 1.883649+0 2.078234-2 2.137962+0 1.679277-2 2.454709+0 1.340456-2 2.818383+0 1.077587-2 3.235937+0 8.725354-3 3.758374+0 6.995047-3 4.415704+0 5.556870-3 5.188000+0 4.447953-3 6.165950+0 3.531329-3 7.413102+0 2.782175-3 8.912509+0 2.208844-3 1.083927+1 1.740713-3 1.364583+1 1.325649-3 1.757924+1 9.913266-4 2.238721+1 7.565905-4 2.985383+1 5.522785-4 4.216965+1 3.817023-4 6.309573+1 2.501150-4 1.011579+2 1.536466-4 2.018366+2 7.605319-5 4.027170+2 3.785917-5 1.603245+3 9.463488-6 1.000000+5 1.515000-7 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 4.654700-3 8.609200-4 1.000000+5 8.609200-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.654700-3 1.170600-4 1.000000+5 1.170600-4 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.654700-3 3.676720-3 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 3.903900-3 7.886838+4 3.970000-3 7.747617+4 4.027170-3 7.602821+4 4.315191-3 6.800553+4 4.954502-3 5.367693+4 5.500000-3 4.428440+4 6.309573-3 3.413434+4 6.918310-3 2.847482+4 8.222426-3 1.999424+4 8.912509-3 1.682255+4 1.047129-2 1.180020+4 1.150000-2 9.530760+3 1.318257-2 6.933027+3 1.479108-2 5.257852+3 1.659587-2 3.965184+3 1.905461-2 2.801119+3 2.150000-2 2.052552+3 2.426610-2 1.493625+3 2.800000-2 1.017304+3 3.235937-2 6.841925+2 3.758374-2 4.501370+2 4.365158-2 2.938215+2 5.069907-2 1.903753+2 5.956621-2 1.184202+2 7.079458-2 7.065003+1 8.511380-2 4.043048+1 1.059254-1 2.067054+1 1.798871-1 4.034578+0 2.264644-1 1.996159+0 2.660725-1 1.227995+0 3.090295-1 7.878716-1 3.507519-1 5.448659-1 3.981072-1 3.796323-1 4.466836-1 2.754465-1 5.011872-1 2.013303-1 5.623413-1 1.482857-1 6.237348-1 1.134113-1 6.918310-1 8.735981-2 7.673615-1 6.777190-2 8.709636-1 4.999358-2 9.332543-1 4.261708-2 9.885531-1 3.752054-2 1.059254+0 3.244638-2 1.148154+0 2.760073-2 1.250000+0 2.344795-2 1.380384+0 1.953389-2 1.717908+0 1.322521-2 1.949845+0 1.062281-2 2.238721+0 8.437687-3 2.570396+0 6.751177-3 2.951209+0 5.440168-3 3.427678+0 4.340781-3 4.000000+0 3.466100-3 4.677351+0 2.779853-3 5.495409+0 2.230890-3 6.606934+0 1.749028-3 7.943282+0 1.381907-3 9.772372+0 1.069446-3 1.230269+1 8.115612-4 1.531087+1 6.290808-4 2.000000+1 4.647900-4 2.722701+1 3.308555-4 3.801894+1 2.309961-4 5.559043+1 1.547349-4 8.912509+1 9.485456-5 1.640590+2 5.087586-5 3.273407+2 2.528949-5 1.303167+3 6.313264-6 1.000000+5 8.213000-8 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 3.903900-3 7.649300-4 1.000000+5 7.649300-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.903900-3 3.734600-5 1.000000+5 3.734600-5 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 3.903900-3 3.101624-3 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 3.379600-3 2.024983+5 3.600000-3 1.772015+5 3.920000-3 1.425264+5 4.216965-3 1.172367+5 4.800000-3 8.205280+4 5.370318-3 5.982063+4 5.956621-3 4.438382+4 6.683439-3 3.160511+4 7.244360-3 2.477403+4 8.609938-3 1.457377+4 9.885531-3 9.419646+3 1.096478-2 6.763129+3 1.300000-2 3.876772+3 1.462177-2 2.620432+3 1.659587-2 1.708996+3 1.950000-2 9.823240+2 2.264644-2 5.827722+2 2.660725-2 3.292980+2 3.126079-2 1.846320+2 3.715352-2 9.856874+1 4.500000-2 4.872840+1 4.954502-2 3.415198+1 5.888437-2 1.795809+1 1.161449-1 1.407797+0 1.445440-1 6.240326-1 1.737801-1 3.166359-1 2.018366-1 1.836694-1 2.317395-1 1.118590-1 2.630268-1 7.147337-2 2.985383-1 4.600027-2 3.349654-1 3.100251-2 3.715352-1 2.189069-2 4.027170-1 1.679273-2 4.466836-1 1.205203-2 5.011872-1 8.405648-3 5.559043-1 6.110750-3 6.165950-1 4.475018-3 6.760830-1 3.416324-3 7.328245-1 2.714634-3 8.511380-1 1.794744-3 9.015711-1 1.540911-3 9.440609-1 1.371778-3 9.885531-1 1.228674-3 1.035142+0 1.107967-3 1.096478+0 9.805933-4 1.161449+0 8.736449-4 1.250000+0 7.598695-4 1.364583+0 6.486886-4 1.531087+0 5.307385-4 1.819701+0 3.911852-4 2.044000+0 3.207253-4 2.344229+0 2.558543-4 2.691535+0 2.052097-4 3.090295+0 1.657697-4 3.589219+0 1.325882-4 4.216965+0 1.050903-4 4.954502+0 8.393968-5 5.888437+0 6.650807-5 7.079458+0 5.229766-5 8.511380+0 4.144128-5 1.047129+1 3.215589-5 1.333521+1 2.413144-5 1.678804+1 1.851308-5 2.113489+1 1.429088-5 2.818383+1 1.041769-5 3.935501+1 7.279118-6 5.754399+1 4.879173-6 9.225714+1 2.992751-6 1.757924+2 1.550563-6 3.507519+2 7.711260-7 1.396368+3 1.925873-7 1.000000+5 2.684900-9 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 3.379600-3 5.599300-4 1.000000+5 5.599300-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.379600-3 1.317100-4 1.000000+5 1.317100-4 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.379600-3 2.687960-3 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 3.224100-3 3.252441+5 3.467369-3 2.708811+5 3.715352-3 2.261889+5 4.027170-3 1.815879+5 4.518559-3 1.315909+5 5.069907-3 9.472709+4 5.688529-3 6.763762+4 6.309573-3 4.958071+4 6.918310-3 3.739943+4 8.317638-3 2.101520+4 9.225714-3 1.506411+4 1.047129-2 9.979194+3 1.202264-2 6.305963+3 1.350000-2 4.264026+3 1.548817-2 2.661084+3 1.778279-2 1.642853+3 2.041738-2 1.006499+3 2.344229-2 6.122124+2 2.691535-2 3.698945+2 3.126079-2 2.128152+2 3.672823-2 1.164852+2 4.415704-2 5.801058+1 5.248075-2 2.999476+1 6.839116-2 1.079720+1 1.122019-1 1.588419+0 1.380384-1 7.167967-1 1.640590-1 3.719829-1 1.883649-1 2.215752-1 2.137962-1 1.387644-1 2.398833-1 9.129873-2 2.691535-1 6.051055-2 3.000060-1 4.137111-2 3.311311-1 2.946239-2 3.630781-1 2.161105-2 3.981072-1 1.596830-2 4.365158-1 1.190733-2 4.786301-1 8.944783-3 5.308844-1 6.532833-3 5.821032-1 4.976189-3 6.309573-1 3.948243-3 6.918310-1 3.054534-3 7.585776-1 2.381491-3 8.709636-1 1.651141-3 9.225714-1 1.426982-3 9.660509-1 1.276805-3 1.011579+0 1.149219-3 1.071519+0 1.015126-3 1.135011+0 9.025550-4 1.216186+0 7.894971-4 1.318257+0 6.805695-4 1.840772+0 3.778230-4 2.065380+0 3.106231-4 2.371374+0 2.475049-4 2.722701+0 1.986270-4 3.126079+0 1.605436-4 3.630781+0 1.284829-4 4.265795+0 1.018948-4 5.011872+0 8.143139-5 5.956621+0 6.455444-5 7.161434+0 5.078608-5 8.609938+0 4.026293-5 1.047129+1 3.169085-5 1.333521+1 2.378311-5 1.678804+1 1.824531-5 2.113489+1 1.408391-5 2.818383+1 1.026679-5 3.935501+1 7.173927-6 5.754399+1 4.808662-6 9.225714+1 2.949511-6 1.757924+2 1.528098-6 3.507519+2 7.599755-7 1.396368+3 1.898035-7 1.000000+5 2.646100-9 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 3.224100-3 5.650100-4 1.000000+5 5.650100-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.224100-3 2.352500-7 1.000000+5 2.352500-7 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.224100-3 2.658855-3 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.249500-3 3.128190+4 1.479108-3 2.665273+4 1.548817-3 2.545457+4 1.800000-3 2.147860+4 1.864900-3 2.063237+4 2.187762-3 1.699617+4 2.371374-3 1.529487+4 2.900000-3 1.159534+4 3.198895-3 1.005527+4 3.801894-3 7.758581+3 4.466836-3 6.023598+3 5.015000-3 4.997209+3 6.000000-3 3.707060+3 7.161434-3 2.734226+3 8.511380-3 2.013838+3 1.023293-2 1.440348+3 1.216186-2 1.043491+3 1.445440-2 7.504066+2 1.737801-2 5.237494+2 2.089296-2 3.625718+2 2.483133-2 2.549342+2 2.951209-2 1.779435+2 3.507519-2 1.232972+2 4.168694-2 8.480710+1 5.000000-2 5.674720+1 6.000000-2 3.762360+1 7.161434-2 2.506331+1 8.609938-2 1.630116+1 1.081000-1 9.502200+0 1.380384-1 5.253684+0 2.540973-1 1.181779+0 3.235937-1 6.589397-1 3.890451-1 4.252275-1 4.570882-1 2.919943-1 5.248075-1 2.130087-1 6.025596-1 1.564837-1 6.918310-1 1.158217-1 7.943282-1 8.638104-2 9.015711-1 6.641884-2 1.000000+0 5.391600-2 1.202264+0 3.757518-2 1.348963+0 3.018091-2 1.531087+0 2.389798-2 1.737801+0 1.907487-2 1.972423+0 1.534381-2 2.264644+0 1.219828-2 2.600160+0 9.765662-3 3.000000+0 7.814200-3 3.467369+0 6.285847-3 4.027170+0 5.056221-3 4.731513+0 4.029823-3 5.559043+0 3.235637-3 6.683439+0 2.538137-3 8.035261+0 2.006397-3 9.885531+0 1.553385-3 1.244515+1 1.179290-3 1.548817+1 9.145097-4 2.000000+1 6.846400-4 2.722701+1 4.873429-4 3.801894+1 3.402589-4 5.559043+1 2.279194-4 8.912509+1 1.397155-4 1.659587+2 7.406853-5 3.311311+2 3.682107-5 1.318257+3 9.192945-6 1.000000+5 1.209800-7 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.249500-3 5.408900-4 1.000000+5 5.408900-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.249500-3 4.959300-7 1.000000+5 4.959300-7 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.249500-3 7.081141-4 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.104800-3 2.742545+4 1.210000-3 2.724792+4 1.333521-3 2.662423+4 1.420000-3 2.600860+4 1.531087-3 2.508321+4 1.650000-3 2.407080+4 1.770000-3 2.299720+4 1.883649-3 2.194316+4 2.018366-3 2.073691+4 2.187762-3 1.923361+4 2.454709-3 1.713226+4 2.650000-3 1.574902+4 2.917427-3 1.404049+4 3.235937-3 1.232773+4 3.548134-3 1.089082+4 4.000000-3 9.194440+3 4.400000-3 7.975600+3 4.954502-3 6.630092+3 5.500000-3 5.592060+3 6.165950-3 4.611007+3 7.000000-3 3.688000+3 7.800000-3 3.027800+3 8.810489-3 2.407800+3 1.000000-2 1.882160+3 1.135011-2 1.459713+3 1.288250-2 1.123653+3 1.462177-2 8.586462+2 1.659587-2 6.514940+2 1.883649-2 4.909039+2 2.150000-2 3.626580+2 2.483133-2 2.586377+2 2.851018-2 1.855746+2 3.273407-2 1.322056+2 3.758374-2 9.354025+1 4.365158-2 6.383741+1 5.128614-2 4.198184+1 6.095369-2 2.660340+1 7.328245-2 1.620764+1 9.015711-2 9.208595+0 1.135011-1 4.877118+0 1.995262-1 1.015456+0 2.483133-1 5.559321-1 2.951209-1 3.479035-1 3.427678-1 2.333535-1 3.935501-1 1.624758-1 4.518559-1 1.139558-1 5.128614-1 8.291753-2 5.821032-1 6.079381-2 6.531306-1 4.617996-2 7.328245-1 3.533916-2 8.317638-1 2.655382-2 9.120108-1 2.170240-2 9.885531-1 1.830690-2 1.083927+0 1.518897-2 1.202264+0 1.240332-2 1.348963+0 9.983093-3 1.548817+0 7.762361-3 1.757924+0 6.201197-3 2.000000+0 4.970022-3 2.290868+0 3.968610-3 2.630268+0 3.179174-3 3.019952+0 2.564898-3 3.507519+0 2.049061-3 4.073803+0 1.649086-3 4.786301+0 1.315047-3 5.623413+0 1.056443-3 6.760830+0 8.291074-4 8.128305+0 6.557303-4 1.000000+1 5.078900-4 1.273503+1 3.805181-4 1.600000+1 2.921800-4 2.041738+1 2.218500-4 2.754229+1 1.595734-4 3.845918+1 1.114473-4 5.623413+1 7.466781-5 9.015711+1 4.578178-5 1.678804+2 2.427361-5 3.349654+2 1.206846-5 1.333521+3 3.013075-6 1.000000+5 4.011200-8 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.104800-3 5.067900-4 1.000000+5 5.067900-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.104800-3 3.903500-7 1.000000+5 3.903500-7 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.104800-3 5.976197-4 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 9.114400-4 1.662785+5 9.700000-4 1.599286+5 1.122018-3 1.390839+5 1.230269-3 1.255378+5 1.380384-3 1.100102+5 1.479108-3 1.010455+5 1.659587-3 8.689478+4 1.905461-3 7.157749+4 2.113489-3 6.158604+4 2.344229-3 5.251670+4 2.660725-3 4.296344+4 2.951209-3 3.618122+4 3.349654-3 2.914326+4 3.801894-3 2.326751+4 4.265795-3 1.884165+4 4.897788-3 1.450155+4 5.559043-3 1.131514+4 6.237348-3 8.972854+3 7.079458-3 6.904113+3 8.128305-3 5.143474+3 9.332543-3 3.798974+3 1.080000-2 2.732440+3 1.244515-2 1.966406+3 1.412538-2 1.455034+3 1.603245-2 1.069255+3 1.819701-2 7.804429+2 2.065380-2 5.658876+2 2.371374-2 3.954793+2 2.722701-2 2.742222+2 3.126079-2 1.887456+2 3.589219-2 1.289856+2 4.168694-2 8.473678+1 4.841724-2 5.524669+1 5.688529-2 3.458139+1 6.760830-2 2.076655+1 8.128305-2 1.195757+1 1.011580-1 6.156387+0 1.905461-1 8.837036-1 2.344229-1 4.711993-1 2.754229-1 2.908548-1 3.235937-1 1.809345-1 3.672823-1 1.254824-1 4.120975-1 9.059892-2 4.623810-1 6.591551-2 5.188000-1 4.831001-2 5.754399-1 3.676292-2 6.382635-1 2.816800-2 7.079458-1 2.173725-2 7.852356-1 1.689635-2 8.709636-1 1.317749-2 9.332543-1 1.123875-2 9.885531-1 9.902845-3 1.071519+0 8.374816-3 1.161449+0 7.132076-3 1.273503+0 5.981017-3 1.412538+0 4.948178-3 1.737801+0 3.421384-3 1.972423+0 2.750134-3 2.264644+0 2.185757-3 2.600160+0 1.749942-3 3.000000+0 1.400500-3 3.467369+0 1.126574-3 4.027170+0 9.061881-4 4.731513+0 7.222379-4 5.559043+0 5.799057-4 6.683439+0 4.548823-4 8.035261+0 3.595801-4 9.885531+0 2.783979-4 1.244515+1 2.113425-4 1.566751+1 1.617593-4 2.018366+1 1.214571-4 2.722701+1 8.734154-5 3.801894+1 6.098136-5 5.559043+1 4.084816-5 8.912509+1 2.504067-5 1.659587+2 1.327424-5 3.311311+2 6.599189-6 1.318257+3 1.647560-6 1.000000+5 2.168200-8 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 9.114400-4 4.418400-4 1.000000+5 4.418400-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 9.114400-4 3.240500-7 1.000000+5 3.240500-7 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 9.114400-4 4.692760-4 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 6.755100-4 2.044726+5 7.350000-4 2.129361+5 7.673615-4 2.167506+5 8.128305-4 2.193116+5 8.511380-4 2.198821+5 8.912509-4 2.189599+5 9.350000-4 2.163376+5 9.700000-4 2.133088+5 1.015000-3 2.086836+5 1.071519-3 2.019018+5 1.135011-3 1.933495+5 1.202264-3 1.838330+5 1.288250-3 1.716400+5 1.350000-3 1.629392+5 1.462177-3 1.479794+5 1.548817-3 1.372452+5 1.650000-3 1.254076+5 1.800000-3 1.098580+5 1.927525-3 9.844999+4 2.070000-3 8.718960+4 2.264644-3 7.423681+4 2.454709-3 6.386920+4 2.660725-3 5.452851+4 2.917427-3 4.521641+4 3.162278-3 3.812923+4 3.507519-3 3.037387+4 3.801894-3 2.529228+4 4.216965-3 1.983216+4 4.650000-3 1.564596+4 5.128614-3 1.224962+4 5.688529-3 9.384574+3 6.309573-3 7.136931+3 7.000000-3 5.384880+3 7.762471-3 4.040003+3 8.609938-3 3.009257+3 9.660509-3 2.152688+3 1.096478-2 1.475844+3 1.230269-2 1.039011+3 1.380384-2 7.262219+2 1.548817-2 5.041154+2 1.737801-2 3.476399+2 1.949845-2 2.382453+2 2.214200-2 1.558734+2 2.540973-2 9.767443+1 2.917427-2 6.063572+1 3.388442-2 3.589576+1 3.981072-2 2.024620+1 4.731513-2 1.087397+1 5.754399-2 5.331422+0 7.413102-2 2.100211+0 1.273503-1 2.841413-1 1.678804-1 1.031535-1 1.905461-1 6.522510-2 2.344229-1 3.117837-2 2.691535-1 1.920381-2 3.090295-1 1.192561-2 3.427678-1 8.391174-3 3.801894-1 5.945600-3 4.120975-1 4.576111-3 4.570882-1 3.295586-3 5.188000-1 2.225219-3 5.754399-1 1.623522-3 6.382635-1 1.192903-3 6.998420-1 9.134041-4 7.585776-1 7.278471-4 8.511380-1 5.302495-4 9.015711-1 4.554311-4 9.440609-1 4.055552-4 9.885531-1 3.633311-4 1.035142+0 3.276907-4 1.096478+0 2.900558-4 1.161449+0 2.584351-4 1.250000+0 2.247758-4 1.364583+0 1.918664-4 1.531087+0 1.569506-4 1.819701+0 1.156725-4 2.041738+0 9.502298-5 2.344229+0 7.566899-5 2.691535+0 6.068799-5 3.090295+0 4.902075-5 3.589219+0 3.920867-5 4.216965+0 3.107743-5 4.954502+0 2.482294-5 5.888437+0 1.966763-5 7.079458+0 1.546596-5 8.511380+0 1.225491-5 1.035142+1 9.641834-6 1.318257+1 7.232858-6 1.659587+1 5.546987-6 2.089296+1 4.280377-6 2.818383+1 3.080636-6 3.981072+1 2.126387-6 5.888437+1 1.408592-6 9.332543+1 8.746032-7 1.798871+2 4.479355-7 3.589219+2 2.228074-7 1.428894+3 5.565331-8 1.000000+5 7.93990-10 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 6.755100-4 3.442900-4 1.000000+5 3.442900-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 6.755100-4 1.943500-7 1.000000+5 1.943500-7 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 6.755100-4 3.310257-4 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 6.396200-4 3.670973+5 7.328245-4 3.706853+5 7.900000-4 3.708528+5 8.222426-4 3.689472+5 8.609938-4 3.644986+5 9.015711-4 3.577958+5 9.500000-4 3.480636+5 1.000000-3 3.365472+5 1.059254-3 3.217790+5 1.130000-3 3.033090+5 1.202264-3 2.843947+5 1.273503-3 2.663263+5 1.396368-3 2.369046+5 1.479108-3 2.190048+5 1.570000-3 2.005722+5 1.717908-3 1.739985+5 1.862087-3 1.522182+5 2.000000-3 1.342122+5 2.220000-3 1.105998+5 2.400000-3 9.505680+4 2.650000-3 7.771560+4 2.884032-3 6.500977+4 3.162278-3 5.310942+4 3.467369-3 4.310788+4 3.845918-3 3.378094+4 4.216965-3 2.701679+4 4.731513-3 2.024242+4 5.188000-3 1.595044+4 5.754399-3 1.211760+4 6.500000-3 8.686740+3 7.328245-3 6.198188+3 8.128305-3 4.595567+3 8.912509-3 3.503545+3 9.885531-3 2.566017+3 1.120000-2 1.747998+3 1.258925-2 1.210219+3 1.412538-2 8.364600+2 1.584893-2 5.740281+2 1.778279-2 3.912770+2 2.018366-2 2.547757+2 2.290868-2 1.646250+2 2.600160-2 1.055981+2 2.985383-2 6.455834+1 3.672823-2 3.005521+1 5.011872-2 9.624466+0 6.095369-2 4.599026+0 8.035261-2 1.606392+0 1.230269-1 3.161190-1 1.500000-1 1.493286-1 1.757924-1 8.246272-2 2.041738-1 4.744720-2 2.317395-1 2.991854-2 2.600160-1 1.980928-2 2.884032-1 1.375858-2 3.198895-1 9.625023-3 3.507519-1 7.052935-3 3.845918-1 5.203648-3 4.168694-1 4.014151-3 4.570882-1 3.005933-3 5.069907-1 2.188663-3 5.559043-1 1.661580-3 6.025596-1 1.313872-3 6.531306-1 1.046676-3 7.079458-1 8.391814-4 7.762471-1 6.568270-4 8.609938-1 5.002137-4 9.120108-1 4.323869-4 9.660509-1 3.764440-4 1.011579+0 3.390698-4 1.071519+0 2.996691-4 1.135011+0 2.665048-4 1.216186+0 2.331222-4 1.318257+0 2.009043-4 1.819701+0 1.136959-4 2.044000+0 9.323371-5 2.344229+0 7.437924-5 2.691535+0 5.965392-5 3.090295+0 4.818636-5 3.589219+0 3.854154-5 4.216965+0 3.054875-5 4.954502+0 2.440067-5 5.888437+0 1.933342-5 7.079458+0 1.520281-5 8.511380+0 1.204690-5 1.047129+1 9.347385-6 1.333521+1 7.014920-6 1.678804+1 5.381563-6 2.113489+1 4.154178-6 2.818383+1 3.028305-6 3.935501+1 2.115930-6 5.754399+1 1.418383-6 9.225714+1 8.699614-7 1.757924+2 4.507198-7 3.507519+2 2.241542-7 1.396368+3 5.598301-8 1.000000+5 7.80480-10 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 6.396200-4 3.374900-4 1.000000+5 3.374900-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 6.396200-4 8.933700-8 1.000000+5 8.933700-8 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 6.396200-4 3.020407-4 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 3.289000-4 7.226400+4 3.290000-4 7.259880+4 3.296000-4 7.374600+4 3.304000-4 7.490820+4 3.316000-4 7.622400+4 3.330000-4 7.745940+4 3.350000-4 7.879680+4 3.400000-4 8.116380+4 3.420000-4 8.248020+4 3.435000-4 8.397840+4 3.450000-4 8.607060+4 3.465000-4 8.887860+4 3.480000-4 9.250140+4 3.495000-4 9.701460+4 3.510000-4 1.025088+5 3.525000-4 1.090626+5 3.540000-4 1.167546+5 3.555000-4 1.256790+5 3.570000-4 1.359048+5 3.590000-4 1.516482+5 3.665000-4 2.321436+5 3.690000-4 2.655882+5 3.715352-4 3.020960+5 3.740000-4 3.396522+5 3.765000-4 3.794628+5 3.790000-4 4.209546+5 3.815000-4 4.638918+5 3.845918-4 5.190759+5 3.880000-4 5.822556+5 3.915000-4 6.492360+5 3.950000-4 7.174440+5 3.981072-4 7.783277+5 4.015000-4 8.444160+5 4.050000-4 9.110940+5 4.080000-4 9.667080+5 4.120975-4 1.040042+6 4.150000-4 1.089918+6 4.190000-4 1.155810+6 4.240000-4 1.233888+6 4.280000-4 1.292604+6 4.335000-4 1.367904+6 4.390000-4 1.436034+6 4.450000-4 1.501968+6 4.500000-4 1.549848+6 4.550000-4 1.591710+6 4.623810-4 1.643767+6 4.700000-4 1.686972+6 4.794100-4 1.728759+6 4.897788-4 1.761409+6 5.000000-4 1.780896+6 5.128614-4 1.790771+6 5.248075-4 1.788604+6 5.400000-4 1.774410+6 5.580000-4 1.744668+6 5.754399-4 1.706355+6 5.956621-4 1.654364+6 6.200000-4 1.584966+6 6.500000-4 1.494366+6 6.839116-4 1.390540+6 7.161434-4 1.293986+6 7.500000-4 1.196466+6 7.852356-4 1.101900+6 8.222426-4 1.008373+6 8.810489-4 8.757684+5 9.332543-4 7.744611+5 9.885531-4 6.805650+5 1.059254-3 5.783011+5 1.150000-3 4.728486+5 1.230269-3 3.982340+5 1.333521-3 3.218003+5 1.450000-3 2.562462+5 1.570000-3 2.049294+5 1.737801-3 1.528174+5 1.905461-3 1.161739+5 2.089296-3 8.772139+4 2.300000-3 6.496200+4 2.540973-3 4.722737+4 2.800000-3 3.436824+4 3.090295-3 2.471462+4 3.467369-3 1.667475+4 3.845918-3 1.161186+4 4.216965-3 8.371561+3 4.731513-3 5.519370+3 5.308844-3 3.610069+3 6.000000-3 2.278872+3 6.760830-3 1.442653+3 7.585776-3 9.213249+2 8.500000-3 5.872590+2 9.440609-3 3.853819+2 1.059254-2 2.413231+2 1.202264-2 1.431293+2 1.364583-2 8.427267+1 1.548817-2 4.927382+1 1.778279-2 2.723182+1 2.041738-2 1.493843+1 2.371374-2 7.731343+0 2.786121-2 3.774699+0 3.388442-2 1.567448+0 4.265795-2 5.525899-1 8.035261-2 3.084291-2 1.011580-1 1.085946-2 1.216186-1 4.742706-3 1.428894-1 2.313918-3 1.644310-1 1.246881-3 1.862087-1 7.259082-4 2.065380-1 4.653025-4 2.317395-1 2.859971-4 2.600160-1 1.771198-4 2.917427-1 1.105541-4 3.273407-1 6.933432-5 3.507519-1 5.273160-5 3.722400-1 4.189165-5 4.027170-1 3.116940-5 4.466836-1 2.125829-5 4.897788-1 1.522952-5 5.370318-1 1.098314-5 5.888437-1 7.976316-6 6.456542-1 5.827663-6 6.998420-1 4.460956-6 7.943282-1 2.962648-6 8.413951-1 2.475215-6 8.810489-1 2.156664-6 9.225714-1 1.891533-6 9.549926-1 1.722901-6 9.885531-1 1.576879-6 1.023293+0 1.450872-6 1.071519+0 1.307568-6 1.122018+0 1.186578-6 1.188502+0 1.059507-6 1.273503+0 9.330770-7 1.380384+0 8.107052-7 1.513561+0 6.940607-7 1.862087+0 4.815858-7 2.065380+0 4.037639-7 2.371374+0 3.217194-7 2.722701+0 2.581726-7 3.126079+0 2.086661-7 3.630781+0 1.670021-7 4.265795+0 1.324404-7 5.011872+0 1.058361-7 5.956621+0 8.390507-8 7.161434+0 6.600980-8 8.609938+0 5.233226-8 1.047129+1 4.119025-8 1.333521+1 3.091195-8 1.678804+1 2.371487-8 2.113489+1 1.830612-8 2.818383+1 1.334486-8 3.935501+1 9.324379-9 5.754399+1 6.250014-9 9.225714+1 3.833603-9 1.757924+2 1.986172-9 3.507519+2 9.87800-10 1.396368+3 2.46701-10 1.000000+5 3.43930-12 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 3.289000-4 2.110300-4 1.000000+5 2.110300-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 3.289000-4 3.963800-9 1.000000+5 3.963800-9 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 3.289000-4 1.178660-4 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 3.197400-4 1.045928+5 3.250000-4 1.068864+5 3.300000-4 1.095376+5 3.322000-4 1.113744+5 3.335000-4 1.129944+5 3.350000-4 1.155584+5 3.365000-4 1.190352+5 3.375300-4 1.220282+5 3.390000-4 1.272432+5 3.400000-4 1.314760+5 3.415000-4 1.389512+5 3.430000-4 1.478808+5 3.445000-4 1.583856+5 3.458000-4 1.688536+5 3.472000-4 1.816344+5 3.490000-4 2.004696+5 3.515000-4 2.312664+5 3.565000-4 3.086544+5 3.590000-4 3.543112+5 3.610000-4 3.935672+5 3.635000-4 4.454608+5 3.657000-4 4.933288+5 3.680000-4 5.453248+5 3.700000-4 5.920120+5 3.730000-4 6.644752+5 3.758374-4 7.355898+5 3.790000-4 8.175280+5 3.815000-4 8.839440+5 3.850000-4 9.785120+5 3.880000-4 1.060176+6 3.915000-4 1.154840+6 3.950000-4 1.247752+6 3.981072-4 1.327953+6 4.016400-4 1.415985+6 4.050000-4 1.496464+6 4.090000-4 1.588056+6 4.130000-4 1.675112+6 4.180000-4 1.777464+6 4.235600-4 1.882560+6 4.280000-4 1.959392+6 4.335000-4 2.045192+6 4.390000-4 2.120168+6 4.450000-4 2.190232+6 4.518559-4 2.256620+6 4.600000-4 2.319720+6 4.680000-4 2.367928+6 4.780000-4 2.411896+6 4.850000-4 2.432768+6 4.970000-4 2.450664+6 5.080000-4 2.451968+6 5.230000-4 2.436560+6 5.400000-4 2.400784+6 5.623413-4 2.332903+6 5.821032-4 2.260385+6 6.025596-4 2.178552+6 6.285300-4 2.068278+6 6.531306-4 1.962259+6 6.850000-4 1.826096+6 7.161434-4 1.697832+6 7.585776-4 1.534399+6 8.000000-4 1.386472+6 8.511380-4 1.222139+6 9.120108-4 1.054538+6 9.700000-4 9.180080+5 1.035142-3 7.871674+5 1.110000-3 6.636336+5 1.190000-3 5.560688+5 1.300000-3 4.404136+5 1.412538-3 3.512175+5 1.548817-3 2.708810+5 1.690000-3 2.103904+5 1.862087-3 1.575330+5 2.018366-3 1.231917+5 2.238721-3 8.907019+4 2.426610-3 6.883204+4 2.722701-3 4.722810+4 3.019952-3 3.335723+4 3.300000-3 2.463208+4 3.672823-3 1.696254+4 4.168694-3 1.080126+4 4.731513-3 6.808142+3 5.370318-3 4.248996+3 6.095369-3 2.626456+3 6.839116-3 1.682352+3 7.673615-3 1.069415+3 8.709636-3 6.443363+2 9.772372-3 4.034839+2 1.096478-2 2.511691+2 1.244515-2 1.479351+2 1.412538-2 8.646375+1 1.621810-2 4.774396+1 1.862087-2 2.615618+1 2.113489-2 1.496297+1 2.454709-2 7.672234+0 2.884032-2 3.707784+0 3.467369-2 1.602571+0 4.315191-2 5.869173-1 5.821032-2 1.470564-1 7.413102-2 4.798264-2 1.011580-1 1.143737-2 1.288250-1 3.781004-3 1.462177-1 2.132355-3 1.640590-1 1.275957-3 1.798871-1 8.517358-4 2.018366-1 5.179905-4 2.264644-1 3.175365-4 2.511886-1 2.057937-4 2.786121-1 1.343730-4 3.090295-1 8.841889-5 3.349654-1 6.421388-5 3.630781-1 4.695281-5 3.845918-1 3.773605-5 4.168694-1 2.801029-5 4.518559-1 2.095794-5 4.897788-1 1.580115-5 5.308844-1 1.200406-5 5.754399-1 9.191717-6 6.165950-1 7.361911-6 6.683439-1 5.726906-6 7.328245-1 4.332880-6 8.035261-1 3.295398-6 8.709636-1 2.609763-6 9.660509-1 1.949413-6 1.000000+0 1.777669-6 1.035142+0 1.632084-6 1.071519+0 1.506703-6 1.109175+0 1.397817-6 1.161449+0 1.273197-6 1.216186+0 1.167017-6 1.303167+0 1.032145-6 1.412538+0 9.016461-7 1.513561+0 8.050242-7 1.883649+0 5.476091-7 2.089296+0 4.593292-7 2.398833+0 3.661975-7 2.754229+0 2.940490-7 3.162278+0 2.378165-7 3.672823+0 1.904406-7 4.315191+0 1.511140-7 5.069907+0 1.208261-7 6.025596+0 9.583536-8 7.244360+0 7.543162-8 8.709636+0 5.983007-8 1.059254+1 4.711178-8 1.348963+1 3.537111-8 1.698244+1 2.714416-8 2.137962+1 2.096002-8 2.851018+1 1.528342-8 4.000000+1 1.062800-8 5.888437+1 7.076186-9 9.440609+1 4.341972-9 1.840772+2 2.198226-9 3.672823+2 1.093568-9 1.462177+3 2.73199-10 1.000000+5 3.98860-12 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 3.197400-4 2.167800-4 1.000000+5 2.167800-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 3.197400-4 1.113300-7 1.000000+5 1.113300-7 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 3.197400-4 1.028487-4 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 2.741000-4 5.542298+4 3.100000-4 5.168498+4 3.850000-4 4.512500+4 4.027170-4 4.374377+4 4.731513-4 3.825462+4 5.128614-4 3.559566+4 5.559043-4 3.285970+4 6.382635-4 2.837233+4 7.000000-4 2.555500+4 7.943282-4 2.193050+4 8.912509-4 1.896391+4 1.035142-3 1.554603+4 1.174898-3 1.305482+4 1.396368-3 1.020002+4 1.678804-3 7.770594+3 2.041738-3 5.768189+3 2.483133-3 4.248934+3 3.019952-3 3.105795+3 3.630781-3 2.296318+3 4.365158-3 1.685833+3 5.248075-3 1.228417+3 6.309573-3 8.884248+2 7.585776-3 6.378557+2 9.120108-3 4.546643+2 1.096478-2 3.217999+2 1.318257-2 2.261263+2 1.599000-2 1.550133+2 1.927525-2 1.067424+2 2.317395-2 7.334252+1 2.786121-2 5.001055+1 3.311311-2 3.467752+1 3.981072-2 2.328559+1 4.786301-2 1.551228+1 5.754399-2 1.025334+1 6.918310-2 6.724409+0 8.317638-2 4.377272+0 1.023293-1 2.678567+0 1.273503-1 1.582406+0 1.603245-1 9.040494-1 2.570396-1 2.846489-1 3.198895-1 1.676875-1 3.845918-1 1.081572-1 4.518559-1 7.422720-2 5.188000-1 5.411632-2 6.000000-1 3.909933-2 6.918310-1 2.866808-2 7.943282-1 2.138025-2 9.015711-1 1.643914-2 1.000000+0 1.334405-2 1.202264+0 9.299420-3 1.348963+0 7.469514-3 1.531087+0 5.914741-3 1.737801+0 4.721535-3 1.972423+0 3.797723-3 2.264644+0 3.018514-3 2.600160+0 2.416625-3 3.000000+0 1.934000-3 3.467369+0 1.555735-3 4.027170+0 1.251404-3 4.731513+0 9.973767-4 5.559043+0 8.008238-4 6.683439+0 6.281755-4 8.035261+0 4.965718-4 9.885531+0 3.844515-4 1.244515+1 2.918532-4 1.566751+1 2.233777-4 2.018366+1 1.677326-4 2.722701+1 1.206139-4 3.758374+1 8.525019-5 5.495409+1 5.709167-5 8.810489+1 3.499196-5 1.621810+2 1.876561-5 3.235937+2 9.327495-6 1.288250+3 2.328264-6 1.000000+5 2.994100-8 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 2.741000-4 2.272000-4 1.000000+5 2.272000-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 2.741000-4 3.977200-9 1.000000+5 3.977200-9 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 2.741000-4 4.689602-5 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.187900-4 1.817182+5 2.270000-4 1.667872+5 2.305000-4 1.598484+5 2.350000-4 1.502624+5 2.500000-4 1.206556+5 2.700000-4 9.403680+4 2.917427-4 7.466980+4 3.054921-4 6.546739+4 3.162278-4 5.960442+4 3.282400-4 5.419246+4 3.390000-4 5.018220+4 3.507519-4 4.650707+4 3.672823-4 4.226791+4 3.850000-4 3.860220+4 4.050000-4 3.527080+4 4.216965-4 3.300796+4 4.430000-4 3.066040+4 4.677351-4 2.850009+4 4.954502-4 2.656823+4 5.308844-4 2.458857+4 5.754399-4 2.262586+4 6.456542-4 2.028209+4 8.810489-4 1.524601+4 1.011579-3 1.333630+4 1.150000-3 1.170148+4 1.318257-3 1.010454+4 1.500000-3 8.727200+3 1.717908-3 7.424898+3 1.950000-3 6.339240+3 2.213095-3 5.375470+3 2.511886-3 4.527136+3 2.851018-3 3.785823+3 3.246000-3 3.129280+3 3.672823-3 2.591947+3 4.168694-3 2.121354+3 4.688000-3 1.750194+3 5.300000-3 1.421742+3 6.000000-3 1.144364+3 6.839116-3 9.032242+2 7.762471-3 7.132451+2 8.810489-3 5.593098+2 1.000000-2 4.354940+2 1.135011-2 3.367623+2 1.288250-2 2.586528+2 1.479108-2 1.924707+2 1.698244-2 1.420892+2 1.949845-2 1.040840+2 2.238721-2 7.565795+1 2.570396-2 5.458723+1 2.951209-2 3.910306+1 3.427678-2 2.702899+1 3.935501-2 1.909112+1 4.897788-2 1.083760+1 5.888437-2 6.681403+0 7.079458-2 4.084749+0 8.709636-2 2.329776+0 1.096478-1 1.238752+0 2.041738-1 2.203929-1 2.511886-1 1.247240-1 3.000000-1 7.710155-2 3.507519-1 5.084420-2 4.027170-1 3.543195-2 4.570882-1 2.562207-2 5.188000-1 1.865973-2 5.888437-1 1.369439-2 6.606935-1 1.041171-2 7.413102-1 7.974579-3 8.413951-1 5.996639-3 9.225714-1 4.905171-3 1.000000+0 4.141384-3 1.096478+0 3.438906-3 1.216186+0 2.810519-3 1.364583+0 2.263924-3 1.584893+0 1.725263-3 1.798871+0 1.379821-3 2.018366+0 1.133782-3 2.344229+0 8.858333-4 2.691535+0 7.103791-4 3.090295+0 5.737088-4 3.589219+0 4.588757-4 4.216965+0 3.637145-4 4.954502+0 2.905157-4 5.888437+0 2.301786-4 7.079458+0 1.810049-4 8.511380+0 1.434315-4 1.047129+1 1.112898-4 1.333521+1 8.351977-5 1.678804+1 6.407291-5 2.113489+1 4.945939-5 2.818383+1 3.605488-5 3.935501+1 2.519333-5 5.754399+1 1.688696-5 9.225714+1 1.035770-5 1.757924+2 5.366339-6 3.507519+2 2.668845-6 1.396368+3 6.665445-7 1.000000+5 9.292500-9 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.187900-4 1.700200-4 1.000000+5 1.700200-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.187900-4 9.107300-9 1.000000+5 9.107300-9 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.187900-4 4.876089-5 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 1.746600-4 4.159825+5 1.985000-4 3.372644+5 2.050000-4 3.181212+5 2.162719-4 2.921719+5 2.371374-4 2.558906+5 2.500000-4 2.388460+5 2.650000-4 2.232596+5 3.090295-4 1.897466+5 4.120975-4 1.415414+5 4.731513-4 1.222118+5 5.432503-4 1.047196+5 6.200000-4 8.962480+4 7.079458-4 7.607438+4 8.128305-4 6.360728+4 9.332543-4 5.276751+4 1.071519-3 4.345482+4 1.244515-3 3.493229+4 1.450000-3 2.773272+4 1.698244-3 2.166461+4 1.995262-3 1.670271+4 2.317395-3 1.301771+4 2.660725-3 1.027409+4 3.054921-3 8.054404+3 3.467369-3 6.404541+3 4.027170-3 4.847237+3 4.623810-3 3.718289+3 5.248075-3 2.895974+3 6.025596-3 2.189167+3 6.918310-3 1.641423+3 7.943282-3 1.221218+3 9.120108-3 9.015559+2 1.047129-2 6.603497+2 1.202264-2 4.798418+2 1.380384-2 3.459220+2 1.584893-2 2.474097+2 1.819701-2 1.755643+2 2.001000-2 1.381149+2 2.238721-2 1.061771+2 2.398833-2 8.940927+1 2.570396-2 7.478951+1 2.786121-2 6.028350+1 3.054921-2 4.674013+1 3.388442-2 3.482892+1 4.073803-2 2.043237+1 4.841724-2 1.248772+1 5.754399-2 7.572593+0 6.683439-2 4.871696+0 8.035261-2 2.808223+0 1.000000-1 1.447974+0 1.862087-1 2.154634-1 2.317395-1 1.108930-1 2.722701-1 6.843913-2 3.162278-1 4.403844-2 3.589219-1 3.053188-2 4.027170-1 2.202720-2 4.518559-1 1.600774-2 5.069907-1 1.171758-2 5.688529-1 8.642023-3 6.309573-1 6.616867-3 6.998420-1 5.101839-3 7.762471-1 3.962058-3 8.709636-1 3.005914-3 9.332543-1 2.563812-3 9.885531-1 2.259155-3 1.071519+0 1.910633-3 1.161449+0 1.627143-3 1.273503+0 1.364542-3 1.412538+0 1.128901-3 1.737801+0 7.805033-4 1.972423+0 6.273779-4 2.264644+0 4.986662-4 2.600160+0 3.992309-4 3.000000+0 3.194900-4 3.467369+0 2.570000-4 4.027170+0 2.067252-4 4.731513+0 1.647628-4 5.559043+0 1.322977-4 6.683439+0 1.037740-4 8.035261+0 8.203203-5 9.885531+0 6.351043-5 1.244515+1 4.821443-5 1.548817+1 3.739007-5 2.000000+1 2.799200-5 2.722701+1 1.992499-5 3.801894+1 1.391154-5 5.559043+1 9.318739-6 8.912509+1 5.712546-6 1.659587+2 3.028347-6 3.311311+2 1.505439-6 1.318257+3 3.758570-7 1.000000+5 4.946200-9 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 1.746600-4 1.633200-4 1.000000+5 1.633200-4 1 89000 7 7 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.746600-4 2.341300-9 1.000000+5 2.341300-9 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.746600-4 1.133766-5 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 9.282000-5 1.717572+6 9.287000-5 1.761724+6 9.310000-5 1.896240+6 9.332543-5 2.024736+6 9.355000-5 2.149544+6 9.385000-5 2.311636+6 9.415000-5 2.467524+6 9.450000-5 2.643740+6 9.485000-5 2.812444+6 9.520000-5 2.972992+6 9.565000-5 3.168584+6 9.610000-5 3.351588+6 9.650000-5 3.502056+6 9.700000-5 3.673464+6 9.750000-5 3.824760+6 9.800000-5 3.956024+6 9.850000-5 4.067240+6 9.900000-5 4.157560+6 9.950000-5 4.228280+6 1.000000-4 4.279960+6 1.007000-4 4.322000+6 1.012000-4 4.332640+6 1.020000-4 4.320120+6 1.027000-4 4.283640+6 1.035142-4 4.218188+6 1.045000-4 4.113280+6 1.055000-4 3.988868+6 1.071519-4 3.763254+6 1.096478-4 3.418372+6 1.220000-4 2.146612+6 1.260000-4 1.855596+6 1.303167-4 1.584108+6 1.364583-4 1.265181+6 1.566751-4 6.353967+5 1.800000-4 3.200524+5 1.883649-4 2.570089+5 1.950000-4 2.186092+5 2.018366-4 1.873580+5 2.080000-4 1.649124+5 2.137962-4 1.477620+5 2.190000-4 1.350332+5 2.240000-4 1.247788+5 2.300000-4 1.146012+5 2.350000-4 1.076040+5 2.400000-4 1.017388+5 2.454709-4 9.641900+4 2.511886-4 9.189101+4 2.570396-4 8.817057+4 2.635000-4 8.495160+4 2.691535-4 8.276879+4 2.754229-4 8.091683+4 2.830000-4 7.932360+4 2.917427-4 7.816125+4 3.019952-4 7.746144+4 3.150000-4 7.725920+4 3.311311-4 7.762019+4 3.981072-4 8.062996+4 4.265795-4 8.122916+4 4.570882-4 8.125387+4 4.850000-4 8.074320+4 5.150000-4 7.970280+4 5.500000-4 7.802800+4 5.821032-4 7.615928+4 6.237348-4 7.339935+4 6.700000-4 7.011120+4 7.161434-4 6.672563+4 7.673615-4 6.297306+4 8.222426-4 5.906551+4 8.912509-4 5.439602+4 9.660509-4 4.972597+4 1.047129-3 4.513232+4 1.135011-3 4.068481+4 1.244515-3 3.586240+4 1.364583-3 3.135890+4 1.496236-3 2.721253+4 1.621810-3 2.390035+4 1.778279-3 2.046909+4 1.972423-3 1.705362+4 2.200000-3 1.394156+4 2.454709-3 1.128390+4 2.722701-3 9.161599+3 3.019952-3 7.378136+3 3.311311-3 6.045502+3 3.672823-3 4.795033+3 4.073803-3 3.773513+3 4.518559-3 2.947161+3 5.011872-3 2.284412+3 5.559043-3 1.757440+3 6.165950-3 1.342464+3 6.839116-3 1.018383+3 7.585776-3 7.672790+2 8.511380-3 5.558618+2 9.549926-3 3.995075+2 1.059254-2 2.947744+2 1.188502-2 2.087403+2 1.333521-2 1.467409+2 1.500000-2 1.016322+2 1.603245-2 8.227314+1 1.778279-2 5.841360+1 1.905461-2 4.678076+1 2.001000-2 4.016882+1 2.162719-2 3.201760+1 2.214200-2 2.983087+1 2.317395-2 2.570548+1 2.426610-2 2.196058+1 2.600160-2 1.718500+1 3.019952-2 9.972824+0 3.388442-2 6.634289+0 4.027170-2 3.629228+0 4.786301-2 1.953666+0 5.821032-2 9.601550-1 7.413102-2 3.957768-1 1.303167-1 4.946830-2 1.640590-1 2.131388-2 1.949845-1 1.141439-2 2.264644-1 6.690853-3 2.600160-1 4.116014-3 2.951209-1 2.655423-3 3.311311-1 1.793171-3 3.672823-1 1.267812-3 4.027170-1 9.376349-4 4.466836-1 6.741330-4 5.011872-1 4.709565-4 5.559043-1 3.427471-4 6.095369-1 2.600006-4 6.683439-1 1.986166-4 7.328245-1 1.528514-4 8.511380-1 1.010593-4 9.015711-1 8.669713-5 9.440609-1 7.713120-5 9.885531-1 6.904492-5 1.035142+0 6.223480-5 1.096478+0 5.506633-5 1.161449+0 4.906033-5 1.250000+0 4.268000-5 1.364583+0 3.644080-5 1.531087+0 2.982067-5 1.819701+0 2.197743-5 2.018366+0 1.840612-5 2.317395+0 1.464925-5 2.660725+0 1.174175-5 3.054921+0 9.478152-6 3.548134+0 7.576567-6 4.120975+0 6.100991-6 4.841724+0 4.867847-6 5.754399+0 3.852901-6 6.918310+0 3.026708-6 8.317638+0 2.396119-6 1.023293+1 1.857594-6 1.303167+1 1.392826-6 1.640590+1 1.067816-6 2.065380+1 8.237173-7 2.786121+1 5.926796-7 3.890451+1 4.140199-7 5.688529+1 2.774554-7 9.120108+1 1.701473-7 1.717908+2 8.917906-8 3.427678+2 4.434374-8 1.364583+3 1.107337-8 1.000000+5 1.50850-10 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 9.282000-5 9.282000-5 1.000000+5 9.282000-5 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 9.282000-5 0.0 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 8.638000-5 3.036571+6 8.642000-5 3.102684+6 8.660000-5 3.282378+6 8.680000-5 3.474672+6 8.700000-5 3.659184+6 8.720000-5 3.837420+6 8.750000-5 4.091880+6 8.780000-5 4.333410+6 8.815000-5 4.599078+6 8.850000-5 4.850094+6 8.885000-5 5.085888+6 8.920000-5 5.306196+6 8.970000-5 5.595216+6 9.020000-5 5.854272+6 9.070000-5 6.082800+6 9.130000-5 6.315660+6 9.190000-5 6.502980+6 9.250000-5 6.645120+6 9.300000-5 6.730200+6 9.350000-5 6.786420+6 9.420000-5 6.820080+6 9.500000-5 6.801420+6 9.580000-5 6.731400+6 9.680000-5 6.587760+6 9.772372-5 6.414880+6 9.900000-5 6.136860+6 1.000000-4 5.902740+6 1.020000-4 5.428566+6 1.161449-4 3.025194+6 1.205000-4 2.548602+6 1.244515-4 2.181043+6 1.303167-4 1.733167+6 1.479108-4 9.101005+5 1.603245-4 6.083810+5 1.698244-4 4.591247+5 1.760000-4 3.874950+5 1.820000-4 3.323442+5 1.880000-4 2.885034+5 1.930000-4 2.589372+5 1.980000-4 2.345484+5 2.020000-4 2.181648+5 2.065380-4 2.024218+5 2.113489-4 1.885338+5 2.162719-4 1.768258+5 2.213095-4 1.670306+5 2.264644-4 1.589071+5 2.317395-4 1.522362+5 2.371374-4 1.468234+5 2.430000-4 1.422654+5 2.500000-4 1.382652+5 2.570396-4 1.354870+5 2.650000-4 1.335012+5 2.730000-4 1.324398+5 2.830000-4 1.320618+5 2.951209-4 1.324833+5 3.589219-4 1.379881+5 3.850000-4 1.391976+5 4.100000-4 1.393338+5 4.365158-4 1.385191+5 4.623810-4 1.369675+5 4.897788-4 1.346154+5 5.248075-4 1.308252+5 5.623413-4 1.261929+5 6.025596-4 1.207817+5 6.500000-4 1.141812+5 7.000000-4 1.072644+5 7.585776-4 9.939736+4 8.222426-4 9.138164+4 8.912509-4 8.337187+4 9.660509-4 7.553819+4 1.059254-3 6.693880+4 1.161449-3 5.882210+4 1.260000-3 5.213638+4 1.380384-3 4.523467+4 1.531087-3 3.816788+4 1.698244-3 3.192272+4 1.862087-3 2.704052+4 2.018366-3 2.326316+4 2.213095-3 1.946961+4 2.426610-3 1.619072+4 2.691535-3 1.305955+4 2.951209-3 1.071074+4 3.273407-3 8.506973+3 3.630781-3 6.704673+3 4.027170-3 5.242916+3 4.466836-3 4.067313+3 4.954502-3 3.131430+3 5.495409-3 2.393197+3 6.095369-3 1.815644+3 6.760830-3 1.367529+3 7.498942-3 1.022958+3 8.317638-3 7.601092+2 9.225714-3 5.610994+2 1.023293-2 4.115075+2 1.148154-2 2.893721+2 1.288250-2 2.019226+2 1.445440-2 1.398552+2 1.603245-2 9.985109+1 1.778279-2 7.026151+1 1.905461-2 5.590678+1 2.001000-2 4.777094+1 2.162719-2 3.775273+1 2.214200-2 3.508396+1 2.317395-2 3.009161+1 2.426610-2 2.559106+1 2.600160-2 1.989410+1 2.851018-2 1.412430+1 3.019952-2 1.138332+1 3.427678-2 7.177412+0 4.027170-2 4.014986+0 4.677351-2 2.306780+0 5.559043-2 1.207753+0 6.918310-2 5.276590-1 1.202264-1 6.430786-2 1.479108-1 2.939454-2 1.737801-1 1.608401-2 2.000000-1 9.574293-3 2.264644-1 6.093828-3 2.540973-1 4.036977-3 2.851018-1 2.694358-3 3.198895-1 1.812798-3 3.507519-1 1.329050-3 3.845918-1 9.810190-4 4.120975-1 7.853508-4 4.518559-1 5.879701-4 4.954502-1 4.432512-4 5.432503-1 3.361501-4 5.956621-1 2.567332-4 6.456542-1 2.041403-4 6.998420-1 1.633363-4 7.585776-1 1.315252-4 8.511380-1 9.723234-5 9.015711-1 8.405417-5 9.549926-1 7.315825-5 1.000000+0 6.585100-5 1.059254+0 5.816242-5 1.135011+0 5.050696-5 1.216186+0 4.417672-5 1.318257+0 3.805977-5 1.819701+0 2.152386-5 2.044000+0 1.765000-5 2.344229+0 1.408013-5 2.691535+0 1.129297-5 3.090295+0 9.122477-6 3.589219+0 7.296576-6 4.216965+0 5.783328-6 4.954502+0 4.619293-6 5.888437+0 3.660011-6 7.079458+0 2.878044-6 8.511380+0 2.280601-6 1.047129+1 1.769614-6 1.333521+1 1.328005-6 1.678804+1 1.018840-6 2.113489+1 7.864422-7 2.818383+1 5.732919-7 3.935501+1 4.005790-7 5.754399+1 2.685093-7 9.225714+1 1.646925-7 1.737801+2 8.632876-8 3.467369+2 4.293188-8 1.380384+3 1.072135-8 1.000000+5 1.47760-10 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 8.638000-5 8.638000-5 1.000000+5 8.638000-5 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 8.638000-5 0.0 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 4.517000-5 3.096860+5 4.590000-5 2.907740+5 4.800000-5 2.413680+5 4.954502-5 2.125431+5 5.128614-5 1.863334+5 5.248075-5 1.714935+5 5.400000-5 1.556354+5 5.559043-5 1.419798+5 5.730000-5 1.299476+5 5.900000-5 1.201142+5 6.095369-5 1.108524+5 6.309573-5 1.026029+5 6.531306-5 9.564489+4 6.800000-5 8.878860+4 7.079458-5 8.298940+4 7.413102-5 7.734253+4 7.800000-5 7.203920+4 8.222426-5 6.736145+4 8.709636-5 6.304376+4 9.225714-5 5.941265+4 9.900000-5 5.569140+4 1.096478-4 5.120420+4 1.273503-4 4.538865+4 1.445440-4 4.066535+4 1.698244-4 3.509318+4 1.900000-4 3.145920+4 2.150000-4 2.765020+4 2.511886-4 2.332487+4 2.851018-4 2.016947+4 3.427678-4 1.616370+4 3.935501-4 1.360099+4 4.731513-4 1.071683+4 5.623413-4 8.498060+3 6.606934-4 6.797777+3 7.852356-4 5.313005+3 9.332543-4 4.123039+3 1.122018-3 3.124259+3 1.396368-3 2.229156+3 1.778279-3 1.522533+3 2.317395-3 9.944351+2 2.917427-3 6.816355+2 3.630781-3 4.727329+2 4.466836-3 3.317858+2 5.432503-3 2.357594+2 6.606934-3 1.662593+2 7.943282-3 1.188289+2 9.660509-3 8.238422+1 1.023293-2 7.376329+1 1.584893-2 3.107447+1 1.840772-2 2.326933+1 2.214200-2 1.649858+1 2.398833-2 1.408715+1 2.630268-2 1.166280+1 2.917427-2 9.358780+0 3.311311-2 7.091592+0 3.981072-2 4.689600+0 4.954502-2 2.888731+0 6.025596-2 1.858107+0 7.244360-2 1.215581+0 8.912509-2 7.481389-1 1.096478-1 4.570129-1 1.412538-1 2.471067-1 2.511886-1 6.044655-2 3.198895-1 3.369026-2 3.845918-1 2.172977-2 4.518559-1 1.491301-2 5.188000-1 1.087271-2 6.000000-1 7.855800-3 6.918310-1 5.760033-3 7.943282-1 4.295812-3 9.015711-1 3.303096-3 1.000000+0 2.681300-3 1.202264+0 1.868624-3 1.348963+0 1.500924-3 1.531087+0 1.188512-3 1.737801+0 9.487233-4 1.972423+0 7.630945-4 2.264644+0 6.065401-4 2.600160+0 4.855952-4 3.000000+0 3.886100-4 3.467369+0 3.126004-4 4.027170+0 2.514496-4 4.731513+0 2.004111-4 5.559043+0 1.609145-4 6.683439+0 1.262230-4 8.035261+0 9.977784-5 9.885531+0 7.725032-5 1.244515+1 5.864460-5 1.566751+1 4.488468-5 2.018366+1 3.370302-5 2.722701+1 2.423613-5 3.758374+1 1.713038-5 5.495409+1 1.147170-5 8.810489+1 7.031170-6 1.621810+2 3.770712-6 3.235937+2 1.874197-6 1.288250+3 4.678398-7 1.000000+5 6.016300-9 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 4.517000-5 4.517000-5 1.000000+5 4.517000-5 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 4.517000-5 0.0 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 2.931000-5 7.523339+6 3.019952-5 7.024979+6 3.126079-5 6.453557+6 3.311311-5 5.564452+6 3.507519-5 4.774267+6 3.730000-5 4.025860+6 3.981072-5 3.334824+6 4.265795-5 2.709405+6 4.677351-5 2.035108+6 5.559043-5 1.183897+6 6.237348-5 8.310564+5 7.413102-5 4.943150+5 1.000000-4 2.023280+5 1.150000-4 1.341612+5 1.300000-4 9.424220+4 1.428894-4 7.224166+4 1.580000-4 5.486360+4 1.720000-4 4.377740+4 1.862087-4 3.568520+4 2.000000-4 2.988560+4 2.150000-4 2.516540+4 2.300000-4 2.158940+4 2.454709-4 1.873738+4 2.630268-4 1.623390+4 2.818383-4 1.416993+4 3.000000-4 1.261930+4 3.200000-4 1.126730+4 3.430000-4 1.004086+4 3.715352-4 8.861885+3 4.000000-4 7.954960+3 4.365158-4 7.054278+3 4.850000-4 6.155440+3 5.500000-4 5.281640+3 6.500000-4 4.350720+3 9.225714-4 2.918418+3 1.109175-3 2.349761+3 1.318257-3 1.903823+3 1.548817-3 1.553129+3 1.819701-3 1.257343+3 2.113489-3 1.026052+3 2.454709-3 8.312830+2 2.818383-3 6.797671+2 3.235937-3 5.519393+2 3.630781-3 4.612609+2 4.168694-3 3.684224+2 4.786301-3 2.919842+2 5.432503-3 2.342560+2 6.165950-3 1.866642+2 7.000000-3 1.476723+2 8.000000-3 1.145584+2 9.225714-3 8.661424+1 1.161449-2 5.457996+1 1.333521-2 4.109763+1 1.513561-2 3.145966+1 1.603245-2 2.777613+1 1.819701-2 2.081619+1 1.972423-2 1.742501+1 2.238721-2 1.338649+1 2.398833-2 1.148081+1 2.570396-2 9.779229+0 2.786121-2 8.049597+0 3.054921-2 6.391763+0 3.388442-2 4.892192+0 3.981072-2 3.195646+0 4.841724-2 1.928516+0 5.821032-2 1.189643+0 6.918310-2 7.499892-1 8.511380-2 4.275111-1 1.083927-1 2.200263-1 2.018366-1 3.915884-2 2.511886-1 2.146850-2 3.000000-1 1.327200-2 3.507519-1 8.752374-3 4.027170-1 6.099322-3 4.570882-1 4.410482-3 5.188000-1 3.211899-3 5.888437-1 2.357176-3 6.606935-1 1.792232-3 7.413102-1 1.372802-3 8.413951-1 1.032340-3 9.225714-1 8.444350-4 1.000000+0 7.129400-4 1.096478+0 5.920033-4 1.216186+0 4.838298-4 1.364583+0 3.897359-4 1.584893+0 2.970319-4 1.798871+0 2.375855-4 2.044000+0 1.910900-4 2.344229+0 1.524477-4 2.691535+0 1.222691-4 3.090295+0 9.876612-5 3.589219+0 7.899694-5 4.216965+0 6.261355-5 4.954502+0 5.001145-5 5.888437+0 3.962536-5 7.079458+0 3.115954-5 8.413951+0 2.504719-5 1.035142+1 1.942642-5 1.318257+1 1.457227-5 1.659587+1 1.117581-5 2.089296+1 8.623875-6 2.800000+1 6.251100-6 3.890451+1 4.390371-6 5.688529+1 2.942188-6 9.120108+1 1.804341-6 1.717908+2 9.456477-7 3.427678+2 4.702280-7 1.364583+3 1.174178-7 1.000000+5 1.599700-9 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 2.931000-5 2.931000-5 1.000000+5 2.931000-5 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 2.931000-5 0.0 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 2.195000-5 1.668830+7 2.511886-5 1.087551+7 3.054921-5 5.878684+6 3.427678-5 4.065505+6 4.265795-5 2.001954+6 4.677351-5 1.494674+6 5.069907-5 1.164840+6 5.432503-5 9.462683+5 5.821032-5 7.735487+5 6.237348-5 6.366780+5 6.683439-5 5.279074+5 7.161434-5 4.412132+5 7.585776-5 3.822984+5 8.128305-5 3.242831+5 8.709636-5 2.771980+5 9.332543-5 2.386675+5 1.000000-4 2.069428+5 1.071519-4 1.807054+5 1.150000-4 1.584636+5 1.230269-4 1.407816+5 1.330000-4 1.237856+5 1.450000-4 1.082120+5 1.603245-4 9.329418+4 1.778279-4 8.062210+4 2.000000-4 6.887520+4 2.371374-4 5.536825+4 3.981072-4 2.897446+4 4.897788-4 2.221350+4 5.888437-4 1.740512+4 7.000000-4 1.373724+4 8.222426-4 1.094288+4 9.660509-4 8.650111+3 1.135011-3 6.788150+3 1.333521-3 5.286745+3 1.584893-3 4.013590+3 1.862087-3 3.081772+3 2.213095-3 2.303968+3 2.600160-3 1.742731+3 3.019952-3 1.335047+3 3.507519-3 1.015135+3 4.027170-3 7.827967+2 4.623810-3 5.994118+2 5.308844-3 4.556123+2 6.095369-3 3.437102+2 7.000000-3 2.572217+2 8.035261-3 1.912326+2 9.225714-3 1.410294+2 1.071519-2 1.005791+2 1.230269-2 7.307947+1 1.412538-2 5.269323+1 1.599000-2 3.902130+1 1.798871-2 2.889573+1 1.927525-2 2.436249+1 2.001000-2 2.227316+1 2.162719-2 1.869967+1 2.214200-2 1.770513+1 2.317395-2 1.578583+1 2.426610-2 1.397259+1 2.600160-2 1.154214+1 2.985383-2 7.922599+0 3.467369-2 5.228652+0 4.073803-2 3.314827+0 4.841724-2 2.017562+0 5.888437-2 1.140458+0 7.161434-2 6.395019-1 8.317638-2 4.085993-1 1.047129-1 2.029886-1 1.883649-1 3.364319-2 2.344229-1 1.732846-2 2.754229-1 1.070134-2 3.198895-1 6.891042-3 3.630781-1 4.781144-3 4.073803-1 3.452091-3 4.570882-1 2.510633-3 5.128614-1 1.839247-3 5.754399-1 1.357723-3 6.382635-1 1.040509-3 7.079458-1 8.030513-4 7.852356-1 6.242911-4 8.709636-1 4.870495-4 9.332543-1 4.154924-4 9.885531-1 3.661668-4 1.071519+0 3.097145-4 1.161449+0 2.637691-4 1.273503+0 2.211924-4 1.412538+0 1.829800-4 1.737801+0 1.265060-4 1.972423+0 1.016895-4 2.264644+0 8.082571-5 2.600160+0 6.470847-5 3.000000+0 5.178400-5 3.467369+0 4.165593-5 4.027170+0 3.350743-5 4.731513+0 2.670570-5 5.559043+0 2.144317-5 6.683439+0 1.681996-5 8.035261+0 1.329643-5 1.000000+1 1.015100-5 1.273503+1 7.605212-6 1.603245+1 5.826097-6 2.041738+1 4.433963-6 2.754229+1 3.189409-6 3.845918+1 2.227385-6 5.688529+1 1.474551-6 9.120108+1 9.042551-7 1.717908+2 4.739293-7 3.427678+2 2.356590-7 1.364583+3 5.884760-8 1.000000+5 8.01710-10 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 2.195000-5 2.195000-5 1.000000+5 2.195000-5 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 2.195000-5 0.0 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.600000+1 0.0 0.0 0.0 4.490000-6 3.536519+6 4.570882-6 3.608174+6 4.770000-6 3.746120+6 4.954502-6 3.850713+6 5.200000-6 3.961048+6 5.500000-6 4.058280+6 5.821032-6 4.125587+6 6.200000-6 4.171000+6 6.600000-6 4.184960+6 7.000000-6 4.171720+6 7.500000-6 4.127920+6 8.035261-6 4.054253+6 8.609938-6 3.949658+6 9.120108-6 3.839521+6 9.700000-6 3.699848+6 1.023293-5 3.561336+6 1.083927-5 3.393678+6 1.150000-5 3.205308+6 1.216186-5 3.014993+6 1.273503-5 2.849911+6 1.333521-5 2.680447+6 1.412538-5 2.464702+6 1.500000-5 2.239604+6 1.584893-5 2.037423+6 1.690000-5 1.810468+6 1.800000-5 1.600456+6 1.927525-5 1.390460+6 2.089296-5 1.169443+6 2.300000-5 9.433840+5 2.540973-5 7.497325+5 2.851018-5 5.704367+5 3.126079-5 4.554168+5 3.427678-5 3.610970+5 3.715352-5 2.925161+5 4.000000-5 2.396060+5 4.315191-5 1.936937+5 4.650000-5 1.560016+5 5.069907-5 1.204386+5 5.500000-5 9.374320+4 6.025596-5 7.035615+4 6.683439-5 5.038839+4 7.328245-5 3.714732+4 7.852356-5 2.936169+4 8.413951-5 2.306440+4 9.015711-5 1.798908+4 9.660509-5 1.393400+4 1.047129-4 1.026653+4 1.161449-4 6.870801+3 1.348963-4 3.829328+3 1.428894-4 3.072885+3 1.500000-4 2.567252+3 1.548817-4 2.296170+3 1.603245-4 2.046099+3 1.659587-4 1.833251+3 1.717908-4 1.651933+3 1.781500-4 1.489977+3 1.840772-4 1.365748+3 1.905461-4 1.253672+3 1.972423-4 1.158467+3 2.000000-4 1.124428+3 2.065380-4 1.066866+3 2.137962-4 1.015516+3 2.213095-4 9.732452+2 2.290868-4 9.385956+2 2.371374-4 9.103696+2 2.470800-4 8.837945+2 2.570396-4 8.641637+2 2.691535-4 8.472173+2 2.851018-4 8.329333+2 3.273407-4 8.106100+2 3.935501-4 7.891248+2 4.120975-4 7.802327+2 4.466836-4 7.596740+2 4.841724-4 7.345130+2 5.128614-4 7.133448+2 5.559043-4 6.795681+2 6.025596-4 6.423943+2 6.531306-4 6.027306+2 7.079458-4 5.614656+2 7.673615-4 5.194323+2 8.317638-4 4.771127+2 9.015711-4 4.352548+2 9.885531-4 3.890340+2 1.083927-3 3.450345+2 1.188502-3 3.037200+2 1.303167-3 2.654177+2 1.428894-3 2.303248+2 1.584893-3 1.948123+2 1.737801-3 1.667171+2 1.905461-3 1.417514+2 2.113489-3 1.172109+2 2.371374-3 9.409722+1 2.600160-3 7.836244+1 2.851018-3 6.480093+1 3.162278-3 5.191814+1 3.548134-3 4.022861+1 3.935501-3 3.174254+1 4.365158-3 2.486130+1 4.841724-3 1.932729+1 5.370318-3 1.491403+1 5.956621-3 1.142609+1 6.606934-3 8.691986+0 7.328245-3 6.566770+0 8.128305-3 4.928099+0 9.120108-3 3.555073+0 1.023293-2 2.544372+0 1.148154-2 1.806741+0 1.288250-2 1.273463+0 1.445440-2 8.912434-1 1.603245-2 6.424164-1 1.778279-2 4.562058-1 1.905461-2 3.654527-1 2.001000-2 3.138897-1 2.162719-2 2.503753-1 2.214200-2 2.333200-1 2.317395-2 2.010929-1 2.426610-2 1.718126-1 2.600160-2 1.344661-1 2.818383-2 1.004921-1 3.019952-2 7.798739-2 3.507519-2 4.568506-2 5.069907-2 1.242580-2 6.237348-2 5.844101-3 8.222426-2 2.117750-3 1.333521-1 3.563374-4 1.640590-1 1.671262-4 1.949845-1 8.955758-5 2.264644-1 5.250656-5 2.600160-1 3.230295-5 2.951209-1 2.084094-5 3.311311-1 1.407410-5 3.672823-1 9.950915-6 4.027170-1 7.359359-6 4.466836-1 5.290467-6 5.011872-1 3.696487-6 5.559043-1 2.692190-6 6.165950-1 1.975372-6 6.760830-1 1.510833-6 7.328245-1 1.202357-6 8.413951-1 8.218472-7 8.912509-1 7.049893-7 9.332543-1 6.269442-7 9.772372-1 5.607727-7 1.023293+0 5.049560-7 1.083927+0 4.463045-7 1.148154+0 3.971510-7 1.230269+0 3.478287-7 1.333521+0 3.002737-7 1.496236+0 2.456568-7 1.819701+0 1.738232-7 2.044000+0 1.425000-7 2.344229+0 1.136654-7 2.691535+0 9.116884-8 3.090295+0 7.365175-8 3.589219+0 5.891005-8 4.216965+0 4.669287-8 4.954502+0 3.729517-8 5.888437+0 2.955014-8 7.079458+0 2.323640-8 8.511380+0 1.841267-8 1.047129+1 1.428735-8 1.318257+1 1.086738-8 1.659587+1 8.334134-9 2.089296+1 6.431069-9 2.800000+1 4.661600-9 3.890451+1 3.274003-9 5.754399+1 2.167859-9 9.120108+1 1.345545-9 1.737801+2 6.97009-10 3.467369+2 3.46619-10 1.380384+3 8.65616-11 1.000000+5 1.19290-12 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.600000+1 0.0 0.0 0.0 4.490000-6 4.490000-6 1.000000+5 4.490000-6 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.600000+1 0.0 0.0 0.0 4.490000-6 0.0 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.700000+1 0.0 0.0 0.0 4.000000-6 6.855540+6 4.168694-6 7.000216+6 4.365158-6 7.114486+6 4.570882-6 7.191640+6 4.841724-6 7.241832+6 5.200000-6 7.241220+6 5.559043-6 7.185325+6 6.025596-6 7.062218+6 6.500000-6 6.897780+6 7.000000-6 6.694920+6 7.585776-6 6.434659+6 8.200000-6 6.145020+6 8.810489-6 5.846034+6 9.440609-6 5.532239+6 1.000000-5 5.251620+6 1.059254-5 4.954420+6 1.122018-5 4.645530+6 1.188502-5 4.325832+6 1.258925-5 4.001090+6 1.333521-5 3.674400+6 1.412538-5 3.349951+6 1.500000-5 3.020124+6 1.584893-5 2.729871+6 1.690000-5 2.409090+6 1.819701-5 2.069079+6 1.950000-5 1.782822+6 2.113489-5 1.488421+6 2.317395-5 1.202593+6 2.580000-5 9.304620+5 2.851018-5 7.281077+5 3.162278-5 5.603205+5 3.427678-5 4.538733+5 3.672823-5 3.769548+5 3.981072-5 3.011268+5 4.265795-5 2.468265+5 4.650000-5 1.908402+5 5.011872-5 1.514970+5 5.432503-5 1.174845+5 6.025596-5 8.400807+4 6.683439-5 5.956641+4 7.328245-5 4.352626+4 7.852356-5 3.419253+4 8.413951-5 2.670547+4 9.120108-5 1.985347+4 9.885531-5 1.464568+4 1.244515-4 6.038946+3 1.318257-4 4.869279+3 1.380384-4 4.123736+3 1.428894-4 3.657498+3 1.479108-4 3.259599+3 1.500000-4 3.115446+3 1.548817-4 2.838215+3 1.603245-4 2.582386+3 1.659587-4 2.364348+3 1.717908-4 2.178234+3 1.781500-4 2.011585+3 1.840772-4 1.883445+3 1.905461-4 1.767606+3 1.972423-4 1.669071+3 2.000000-4 1.633830+3 2.065380-4 1.573956+3 2.137962-4 1.521119+3 2.213095-4 1.478317+3 2.290868-4 1.443978+3 2.398833-4 1.409076+3 2.511886-4 1.384158+3 2.660725-4 1.363527+3 3.019952-4 1.339385+3 3.589219-4 1.280910+3 3.935501-4 1.241680+3 4.265795-4 1.199839+3 4.623810-4 1.151349+3 5.011872-4 1.096774+3 5.432503-4 1.035642+3 5.888437-4 9.706748+2 6.382635-4 9.033814+2 6.918310-4 8.353732+2 7.498942-4 7.674824+2 8.128305-4 7.004699+2 8.810489-4 6.350722+2 9.660509-4 5.635370+2 1.059254-3 4.963594+2 1.161449-3 4.340893+2 1.273503-3 3.770300+2 1.396368-3 3.253506+2 1.531087-3 2.787849+2 1.678804-3 2.370969+2 1.862087-3 1.960481+2 2.089296-3 1.573989+2 2.317395-3 1.283021+2 2.570396-3 1.038029+2 2.818383-3 8.541119+1 3.126079-3 6.806482+1 3.467369-3 5.382080+1 3.845918-3 4.222911+1 4.265795-3 3.288237+1 4.731513-3 2.541234+1 5.248075-3 1.949351+1 5.821032-3 1.484469+1 6.456542-3 1.122373+1 7.161434-3 8.426641+0 8.000000-3 6.156497+0 8.912509-3 4.499527+0 9.885531-3 3.308500+0 1.109175-2 2.332901+0 1.244515-2 1.632256+0 1.396368-2 1.133582+0 1.566751-2 7.816775-1 1.603245-2 7.247828-1 1.778279-2 5.098878-1 1.905461-2 4.058766-1 2.001000-2 3.470400-1 2.162719-2 2.748376-1 2.214200-2 2.555500-1 2.317395-2 2.192852-1 2.426610-2 1.865076-1 2.600160-2 1.449390-1 2.851018-2 1.028061-1 3.019952-2 8.280711-2 3.427678-2 5.224606-2 4.027170-2 2.922873-2 4.731513-2 1.611267-2 5.688529-2 8.092336-3 6.998420-2 3.697750-3 1.216186-1 4.517997-4 1.500000-1 2.047800-4 1.757924-1 1.132126-4 2.018366-1 6.805266-5 2.290868-1 4.298522-5 2.570396-1 2.850754-5 2.851018-1 1.982597-5 3.198895-1 1.334405-5 3.507519-1 9.786429-6 3.845918-1 7.227331-6 4.120975-1 5.789087-6 4.518559-1 4.338577-6 4.954502-1 3.274689-6 5.432503-1 2.486725-6 5.956621-1 1.902122-6 6.456542-1 1.514737-6 6.998420-1 1.214086-6 7.585776-1 9.796506-7 8.511380-1 7.274287-7 9.015711-1 6.304242-7 9.549926-1 5.498869-7 1.000000+0 4.956100-7 1.059254+0 4.382204-7 1.135011+0 3.808662-7 1.230269+0 3.260875-7 1.348963+0 2.752248-7 1.757924+0 1.720122-7 1.972423+0 1.410492-7 2.264644+0 1.121163-7 2.600160+0 8.976004-8 3.000000+0 7.183000-8 3.467369+0 5.778094-8 4.027170+0 4.647806-8 4.731513+0 3.704402-8 5.559043+0 2.974333-8 6.683439+0 2.333060-8 8.035261+0 1.844295-8 9.885531+0 1.427841-8 1.258925+1 1.069356-8 1.584893+1 8.188189-9 2.018366+1 6.229630-9 2.722701+1 4.479756-9 3.801894+1 3.127760-9 5.559043+1 2.095103-9 8.912509+1 1.284305-9 1.640590+2 6.88870-10 3.273407+2 3.42424-10 1.303167+3 8.54835-11 1.000000+5 1.11210-12 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.700000+1 0.0 0.0 0.0 4.000000-6 4.000000-6 1.000000+5 4.000000-6 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.700000+1 0.0 0.0 0.0 4.000000-6 0.0 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 5.410000-6 8.818060+6 5.754399-6 7.173045+6 7.000000-6 3.684560+6 8.609938-6 1.835714+6 1.050000-5 9.484960+5 1.216186-5 5.855770+5 1.380384-5 3.889543+5 1.531087-5 2.802583+5 1.678804-5 2.109074+5 1.819701-5 1.655867+5 1.950000-5 1.354412+5 2.089296-5 1.116577+5 2.230000-5 9.375780+4 2.371374-5 8.012303+4 2.511886-5 6.965788+4 2.660725-5 6.099287+4 2.818383-5 5.379442+4 2.985383-5 4.779961+4 3.162278-5 4.278550+4 3.350000-5 3.855000+4 3.589219-5 3.429865+4 3.845918-5 3.073395+4 4.168694-5 2.724717+4 4.518559-5 2.433209+4 5.069907-5 2.087088+4 5.800000-5 1.758392+4 7.328245-5 1.321751+4 9.225714-5 1.006677+4 1.083927-4 8.395302+3 1.462177-4 6.091353+3 1.603245-4 5.482841+3 1.778279-4 4.834112+3 2.113489-4 3.872876+3 2.630268-4 2.904679+3 3.715352-4 1.829317+3 4.265795-4 1.512605+3 6.000000-4 9.369580+2 7.943282-4 6.206935+2 9.332543-4 4.877434+2 1.216186-3 3.241731+2 1.548817-3 2.216059+2 2.000000-3 1.470590+2 2.630268-3 9.400960+1 2.786121-3 8.533124+1 4.731513-3 3.419750+1 5.956621-3 2.283604+1 7.244360-3 1.605983+1 8.810489-3 1.121227+1 1.011579-2 8.657318+0 1.364583-2 4.826053+0 1.698244-2 3.154262+0 1.927525-2 2.479021+0 2.238721-2 1.876643+0 2.454709-2 1.566218+0 2.722701-2 1.268446+0 3.054921-2 9.932671-1 3.467369-2 7.527991-1 4.027170-2 5.378995-1 4.954502-2 3.345032-1 6.237348-2 1.983818-1 7.585776-2 1.263095-1 8.912509-2 8.650227-2 1.109175-1 5.132609-2 1.445440-1 2.705395-2 2.570396-1 6.614829-3 3.198895-1 3.898035-3 3.801894-1 2.584159-3 4.466836-1 1.773356-3 5.128614-1 1.292943-3 5.888437-1 9.495133-4 6.760830-1 7.026508-4 7.673615-1 5.369572-4 8.709636-1 4.132007-4 9.885531-1 3.203629-4 1.216186+0 2.135959-4 1.380384+0 1.679793-4 1.548817+0 1.359410-4 1.757924+0 1.085911-4 2.000000+0 8.706100-5 2.290868+0 6.951999-5 2.630268+0 5.569070-5 3.019952+0 4.492979-5 3.507519+0 3.589440-5 4.073803+0 2.888825-5 4.786301+0 2.303667-5 5.623413+0 1.850674-5 6.760830+0 1.452416-5 8.128305+0 1.148662-5 1.000000+1 8.897000-6 1.273503+1 6.665730-6 1.600000+1 5.118200-6 2.041738+1 3.886198-6 2.754229+1 2.795401-6 3.845918+1 1.952238-6 5.623413+1 1.308031-6 9.015711+1 8.019816-7 1.678804+2 4.252082-7 3.349654+2 2.113978-7 1.333521+3 5.278212-8 1.000000+5 7.02670-10 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 5.410000-6 5.410000-6 1.000000+5 5.410000-6 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 5.410000-6 0.0 1.000000+5 1.000000+5 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 7.515100-7 1.025500+0 1.059430-6 1.025800+0 1.354380-6 1.026100+0 1.699230-6 1.026600+0 2.395520-6 1.027100+0 3.259160-6 1.027500+0 4.082060-6 1.028100+0 5.557650-6 1.028750+0 7.515100-6 1.029500+0 1.028460-5 1.030100+0 1.293420-5 1.031000+0 1.769830-5 1.032000+0 2.421570-5 1.033200+0 3.392220-5 1.034000+0 4.164260-5 1.035300+0 5.652390-5 1.036640+0 7.515100-5 1.038200+0 1.014190-4 1.039700+0 1.317630-4 1.041500+0 1.753090-4 1.043800+0 2.433350-4 1.046400+0 3.385560-4 1.048300+0 4.215110-4 1.051200+0 5.717700-4 1.054080+0 7.515100-4 1.057700+0 1.024360-3 1.061100+0 1.332430-3 1.065100+0 1.763990-3 1.070400+0 2.460940-3 1.076200+0 3.401010-3 1.080600+0 4.247300-3 1.087100+0 5.722520-3 1.093710+0 7.515100-3 1.102600+0 1.041960-2 1.110700+0 1.358940-2 1.120600+0 1.817860-2 1.133300+0 2.527650-2 1.147500+0 3.489970-2 1.158200+0 4.337160-2 1.174100+0 5.796660-2 1.190110+0 7.515100-2 1.205100+0 9.353960-2 1.227500+0 1.251850-1 1.250000+0 1.618000-1 1.265600+0 1.898380-1 1.294900+0 2.479310-1 1.331800+0 3.300940-1 1.362600+0 4.052170-1 1.397000+0 4.949880-1 1.433800+0 5.965430-1 1.477900+0 7.239690-1 1.500000+0 7.897000-1 1.562500+0 9.802350-1 1.641100+0 1.225550+0 1.706900+0 1.431890+0 1.811600+0 1.758010+0 1.937200+0 2.142250+0 2.000000+0 2.332000+0 2.044000+0 2.464000+0 2.163500+0 2.813850+0 2.372600+0 3.393600+0 2.686300+0 4.191030+0 3.000000+0 4.920000+0 3.500000+0 5.981430+0 4.000000+0 6.945000+0 5.000000+0 8.636000+0 6.000000+0 1.009000+1 7.000000+0 1.137000+1 8.000000+0 1.253000+1 9.000000+0 1.359000+1 1.000000+1 1.457000+1 1.100000+1 1.547000+1 1.200000+1 1.632000+1 1.300000+1 1.710000+1 1.400000+1 1.784000+1 1.500000+1 1.853000+1 1.600000+1 1.917000+1 1.800000+1 2.034000+1 2.000000+1 2.138000+1 2.200000+1 2.232000+1 2.400000+1 2.319000+1 2.600000+1 2.398000+1 2.800000+1 2.470000+1 3.000000+1 2.537000+1 4.000000+1 2.808000+1 5.000000+1 3.010000+1 6.000000+1 3.166000+1 8.000000+1 3.396000+1 1.000000+2 3.558000+1 1.500000+2 3.814000+1 2.000000+2 3.966000+1 3.000000+2 4.143000+1 4.000000+2 4.245000+1 5.000000+2 4.311000+1 6.000000+2 4.359000+1 8.000000+2 4.422000+1 1.000000+3 4.463000+1 1.500000+3 4.523000+1 2.000000+3 4.555000+1 3.000000+3 4.590000+1 4.000000+3 4.609000+1 5.000000+3 4.621000+1 6.000000+3 4.629000+1 8.000000+3 4.640000+1 1.000000+4 4.647000+1 1.500000+4 4.656000+1 2.000000+4 4.661000+1 3.000000+4 4.667000+1 4.000000+4 4.670000+1 5.000000+4 4.671000+1 6.000000+4 4.672000+1 8.000000+4 4.674000+1 1.000000+5 4.675000+1 1 89000 7 8 2.270000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 8.904930-7 2.090400+0 1.209070-6 2.094700+0 1.567740-6 2.099900+0 2.085660-6 2.106600+0 2.901320-6 2.114000+0 4.014350-6 2.119500+0 4.997840-6 2.127900+0 6.778010-6 2.136250+0 8.904930-6 2.147000+0 1.220930-5 2.156900+0 1.585840-5 2.169000+0 2.116400-5 2.184500+0 2.941870-5 2.201800+0 4.070160-5 2.214800+0 5.071100-5 2.234200+0 6.821530-5 2.253680+0 8.904930-5 2.281500+0 1.247290-4 2.307000+0 1.638310-4 2.338200+0 2.202850-4 2.377400+0 3.050680-4 2.410200+0 3.879950-4 2.446800+0 4.935510-4 2.485900+0 6.214080-4 2.532900+0 7.952720-4 2.556430+0 8.904930-4 2.611900+0 1.135490-3 2.660400+0 1.372750-3 2.745300+0 1.837360-3 2.809000+0 2.225170-3 2.904500+0 2.866570-3 3.000000+0 3.578000-3 3.125000+0 4.613350-3 3.234400+0 5.612860-3 3.425800+0 7.556780-3 3.569300+0 9.161570-3 3.784700+0 1.177350-2 4.000000+0 1.458000-2 4.250000+0 1.800940-2 4.625000+0 2.339530-2 5.000000+0 2.899000-2 5.500000+0 3.666220-2 6.000000+0 4.443000-2 6.750000+0 5.597570-2 7.000000+0 5.977000-2 8.000000+0 7.459000-2 9.000000+0 8.873000-2 1.000000+1 1.021000-1 1.100000+1 1.148000-1 1.200000+1 1.267000-1 1.300000+1 1.379000-1 1.400000+1 1.485000-1 1.500000+1 1.585000-1 1.600000+1 1.680000-1 1.800000+1 1.856000-1 2.000000+1 2.015000-1 2.200000+1 2.160000-1 2.400000+1 2.293000-1 2.600000+1 2.416000-1 2.800000+1 2.529000-1 3.000000+1 2.634000-1 4.000000+1 3.065000-1 5.000000+1 3.388000-1 6.000000+1 3.643000-1 8.000000+1 4.022000-1 1.000000+2 4.296000-1 1.500000+2 4.743000-1 2.000000+2 5.021000-1 3.000000+2 5.358000-1 4.000000+2 5.559000-1 5.000000+2 5.696000-1 6.000000+2 5.796000-1 8.000000+2 5.934000-1 1.000000+3 6.026000-1 1.500000+3 6.163000-1 2.000000+3 6.241000-1 3.000000+3 6.326000-1 4.000000+3 6.376000-1 5.000000+3 6.407000-1 6.000000+3 6.428000-1 8.000000+3 6.457000-1 1.000000+4 6.475000-1 1.500000+4 6.500000-1 2.000000+4 6.515000-1 3.000000+4 6.529000-1 4.000000+4 6.538000-1 5.000000+4 6.543000-1 6.000000+4 6.546000-1 8.000000+4 6.550000-1 1.000000+5 6.553000-1 1 89000 7 8 2.270000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 89000 7 9 2.270000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 8.900000+1 1.000000+5 8.900000+1 5.000000+5 8.896300+1 7.500000+5 8.892200+1 9.375000+5 8.889950+1 1.000000+6 8.889300+1 1.250000+6 8.884130+1 1.500000+6 8.878700+1 1.875000+6 8.866910+1 2.000000+6 8.862400+1 2.375000+6 8.847450+1 2.500000+6 8.842000+1 2.875000+6 8.824230+1 3.000000+6 8.817800+1 3.250000+6 8.803500+1 3.625000+6 8.781910+1 4.000000+6 8.759200+1 4.437500+6 8.730420+1 4.812500+6 8.704010+1 5.000000+6 8.691200+1 5.500000+6 8.653020+1 5.875000+6 8.623020+1 6.437500+6 8.576640+1 6.500000+6 8.571170+1 7.000000+6 8.529300+1 7.875000+6 8.454170+1 9.000000+6 8.355700+1 1.000000+7 8.265900+1 1.250000+7 8.045400+1 1.500000+7 7.824100+1 1.750000+7 7.603400+1 2.000000+7 7.386200+1 2.375000+7 7.067070+1 2.500000+7 6.964100+1 2.875000+7 6.668480+1 3.000000+7 6.575100+1 3.250000+7 6.394790+1 3.500000+7 6.223660+1 3.625000+7 6.140180+1 4.000000+7 5.900700+1 4.500000+7 5.599400+1 5.000000+7 5.315300+1 5.500000+7 5.046420+1 6.000000+7 4.793700+1 6.750000+7 4.445840+1 7.000000+7 4.338600+1 8.000000+7 3.949100+1 9.000000+7 3.614700+1 1.000000+8 3.321900+1 1.109400+8 3.036050+1 1.125000+8 2.997730+1 1.203100+8 2.812420+1 1.250000+8 2.706400+1 1.359400+8 2.473460+1 1.500000+8 2.210400+1 1.812500+8 1.771280+1 1.875000+8 1.705230+1 1.937500+8 1.645300+1 2.000000+8 1.590900+1 2.125000+8 1.497580+1 2.312500+8 1.385710+1 2.375000+8 1.354080+1 2.500000+8 1.297200+1 2.750000+8 1.198130+1 2.875000+8 1.148360+1 3.000000+8 1.095400+1 3.375000+8 9.352910+0 3.500000+8 8.935300+0 3.625000+8 8.598000+0 3.859400+8 8.043120+0 4.000000+8 7.689700+0 4.125000+8 7.340300+0 4.234400+8 7.022200+0 4.425800+8 6.473280+0 4.750000+8 5.668160+0 4.784700+8 5.594800+0 4.928200+8 5.318750+0 5.000000+8 5.198400+0 5.179700+8 4.946190+0 5.330100+8 4.775030+0 5.425800+8 4.680230+0 6.000000+8 4.223800+0 7.000000+8 3.575300+0 7.500000+8 3.322800+0 7.750000+8 3.196260+0 8.000000+8 3.061500+0 8.250000+8 2.916630+0 9.500000+8 2.239790+0 1.000000+9 2.034000+0 1.031300+9 1.933910+0 1.074300+9 1.821520+0 1.113800+9 1.737900+0 1.162000+9 1.655000+0 1.204300+9 1.595060+0 1.250000+9 1.540680+0 1.278200+9 1.511050+0 1.333700+9 1.459700+0 1.500000+9 1.336600+0 1.671900+9 1.227890+0 1.789100+9 1.158590+0 1.929700+9 1.078950+0 2.000000+9 1.040400+0 2.139200+9 9.661940-1 2.272600+9 8.987680-1 2.443000+9 8.184130-1 2.602800+9 7.493380-1 2.750000+9 6.909200-1 2.752700+9 6.899000-1 2.959000+9 6.161700-1 3.148200+9 5.562050-1 3.379700+9 4.917020-1 3.582200+9 4.423740-1 3.842200+9 3.874400-1 4.131600+9 3.356980-1 4.348700+9 3.023400-1 4.674400+9 2.596350-1 5.000000+9 2.241900-1 5.375000+9 1.905490-1 5.703100+9 1.662140-1 6.277300+9 1.324380-1 7.031000+9 1.004500-1 8.000000+9 7.272500-2 9.500000+9 4.688570-2 1.00000+10 4.108500-2 1.27030+10 2.214370-2 1.84370+10 8.408940-3 1.00000+11 1.018600-4 1.68570+11 2.633300-5 3.34410+11 4.523830-6 8.62510+11 4.041720-7 2.83020+12 2.008970-8 1.00000+14 2.67730-12 3.16230+15 4.53134-16 1.00000+17 7.33260-20 1 89000 7 0 2.270000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.40000-11 1.000000+2 1.400000-9 1.000000+3 1.400000-7 1.000000+4 1.400000-5 1.000000+5 1.400000-3 5.000000+5 3.500000-2 7.500000+5 7.875000-2 9.375000+5 1.230469-1 1.000000+6 1.400000-1 1.250000+6 2.166190-1 1.500000+6 3.083000-1 1.875000+6 4.726270-1 2.000000+6 5.340000-1 2.375000+6 7.352950-1 2.500000+6 8.077000-1 2.875000+6 1.038260+0 3.000000+6 1.119200+0 3.250000+6 1.285750+0 3.625000+6 1.545710+0 4.000000+6 1.814400+0 4.437500+6 2.134110+0 4.812500+6 2.410120+0 5.000000+6 2.548000+0 5.500000+6 2.911980+0 5.875000+6 3.181020+0 6.437500+6 3.576840+0 6.500000+6 3.620090+0 7.000000+6 3.962400+0 7.875000+6 4.542140+0 9.000000+6 5.264700+0 1.000000+7 5.898000+0 1.250000+7 7.487800+0 1.500000+7 9.092000+0 1.750000+7 1.067400+1 2.000000+7 1.222000+1 2.375000+7 1.447130+1 2.500000+7 1.520300+1 2.875000+7 1.731920+1 3.000000+7 1.799200+1 3.250000+7 1.927320+1 3.500000+7 2.048210+1 3.625000+7 2.106180+1 4.000000+7 2.271500+1 4.500000+7 2.475890+1 5.000000+7 2.671200+1 5.500000+7 2.863070+1 6.000000+7 3.051100+1 6.750000+7 3.324790+1 7.000000+7 3.413300+1 8.000000+7 3.748300+1 9.000000+7 4.049800+1 1.000000+8 4.316400+1 1.109400+8 4.571480+1 1.125000+8 4.605060+1 1.203100+8 4.767120+1 1.250000+8 4.858800+1 1.359400+8 5.059820+1 1.500000+8 5.300000+1 1.812500+8 5.778790+1 1.875000+8 5.866960+1 1.937500+8 5.952040+1 2.000000+8 6.035600+1 2.125000+8 6.194460+1 2.312500+8 6.414640+1 2.375000+8 6.483280+1 2.500000+8 6.614200+1 2.750000+8 6.848270+1 2.875000+8 6.952530+1 3.000000+8 7.049700+1 3.375000+8 7.298690+1 3.500000+8 7.370200+1 3.625000+8 7.436470+1 3.859400+8 7.548430+1 4.000000+8 7.609900+1 4.125000+8 7.660590+1 4.234400+8 7.701870+1 4.425800+8 7.770600+1 4.750000+8 7.874580+1 4.784700+8 7.884740+1 4.928200+8 7.925880+1 5.000000+8 7.946100+1 5.179700+8 7.993430+1 5.330100+8 8.030940+1 5.425800+8 8.053750+1 6.000000+8 8.179000+1 7.000000+8 8.350800+1 7.500000+8 8.418870+1 7.750000+8 8.448200+1 8.000000+8 8.476700+1 8.250000+8 8.501410+1 9.500000+8 8.601290+1 1.000000+9 8.631200+1 1.031300+9 8.647010+1 1.074300+9 8.667350+1 1.113800+9 8.683790+1 1.162000+9 8.700690+1 1.204300+9 8.714820+1 1.250000+9 8.727530+1 1.278200+9 8.734870+1 1.333700+9 8.748860+1 1.500000+9 8.781500+1 1.671900+9 8.807260+1 1.789100+9 8.822420+1 1.929700+9 8.837130+1 2.000000+9 8.844100+1 2.139200+9 8.854610+1 2.272600+9 8.862600+1 2.443000+9 8.871150+1 2.602800+9 8.877740+1 2.750000+9 8.882260+1 2.752700+9 8.882340+1 2.959000+9 8.887050+1 3.148200+9 8.890190+1 3.379700+9 8.893790+1 3.582200+9 8.895060+1 3.842200+9 8.896530+1 4.131600+9 8.898050+1 4.348700+9 8.898550+1 4.674400+9 8.898940+1 5.000000+9 8.899300+1 5.375000+9 8.899410+1 5.703100+9 8.899500+1 6.277300+9 8.899640+1 7.031000+9 8.899810+1 8.000000+9 8.900000+1 9.500000+9 8.900000+1 1.00000+10 8.900000+1 1.27030+10 8.900000+1 1.84370+10 8.900000+1 1.00000+11 8.900000+1 1.68570+11 8.900000+1 3.34410+11 8.900000+1 8.62510+11 8.900000+1 2.83020+12 8.900000+1 1.00000+14 8.900000+1 3.16230+15 8.900000+1 1.00000+17 8.900000+1 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.296303-6 0.0 1.299494-6 1.26886-15 1.302685-6 2.51072-15 1.305875-6 4.58603-15 1.309066-6 7.73267-15 1.312257-6 1.20358-14 1.315447-6 1.72933-14 1.318638-6 2.29367-14 1.321829-6 2.80828-14 1.325019-6 3.17397-14 1.328210-6 3.31145-14 1.331401-6 3.18925-14 1.334396-6 2.85716-14 1.340973-6 3.913296-1 1.344249-6 7.133085-1 1.347533-6 1.202736+0 1.351200-6 1.969899+0 1.360671-6 4.367983+0 1.364456-6 4.969290+0 1.367588-6 5.130522+0 1.371051-6 4.872443+0 1.374341-6 4.282416+0 1.379880-6 2.875092+0 1.383662-6 1.917567+0 1.387152-6 1.206721+0 1.390231-6 7.377083-1 1.393618-6 3.995918-1 1.398237-6 1.160390-1 1.400064-6 1.292465-3 1.400084-6 0.0 1.405671-6 0.0 1.410861-6 3.028998-7 1.412591-6 4.025857-7 1.416051-6 7.353556-7 1.418583-6 1.104436-6 1.425567-6 2.272036-1 1.429058-6 4.150047-1 1.432550-6 6.997535-1 1.436042-6 1.089159+0 1.445244-6 2.359724+0 1.448599-6 2.738455+0 1.450725-6 2.897707+0 1.453870-6 2.984929+0 1.457429-6 2.843702+0 1.461740-6 2.399082+0 1.471395-6 1.066312+0 1.474668-6 7.020677-1 1.477942-6 4.291971-1 1.481433-6 2.361048-1 1.486453-6 6.751124-2 1.488417-6 0.0 1.816938-6 0.0 1.821411-6 2.232177-2 1.825883-6 4.416863-2 1.830355-6 8.067761-2 1.834827-6 1.360335-1 1.839299-6 2.117351-1 1.846007-6 3.538045-1 1.852716-6 4.940337-1 1.857188-6 5.583660-1 1.861660-6 5.825528-1 1.866132-6 5.610551-1 1.870604-6 4.988038-1 1.877313-6 3.598044-1 1.884021-6 2.168833-1 1.888493-6 1.400123-1 1.892965-6 8.343732-2 1.897437-6 4.589955-2 1.901909-6 2.330830-2 1.906382-6 0.0 2.049348-6 0.0 2.054392-6 2.534599-8 2.059436-6 5.015272-8 2.064481-6 9.160805-8 2.069525-6 1.544638-7 2.074569-6 2.404216-7 2.079613-6 3.454412-7 2.084657-6 4.581722-7 2.089702-6 5.609668-7 2.094746-6 6.340151-7 2.099790-6 6.614788-7 2.104834-6 6.370685-7 2.109878-6 5.663832-7 2.114923-6 4.648240-7 2.125011-6 2.462673-7 2.130055-6 1.589816-7 2.135099-6 9.474166-8 2.140144-6 5.211816-8 2.145188-6 2.646618-8 2.150232-6 0.0 2.341712-6 0.0 2.350357-6 3.295721+0 2.353239-6 4.380360+0 2.359003-6 8.001086+0 2.364767-6 1.349093+1 2.371251-6 2.214266+1 2.381349-6 3.880288+1 2.388183-6 4.939295+1 2.394115-6 5.559488+1 2.399746-6 5.762788+1 2.406047-6 5.464459+1 2.412061-6 4.765039+1 2.421696-6 3.196995+1 2.428169-6 2.150909+1 2.433933-6 1.388552+1 2.439697-6 8.274776+0 2.445461-6 4.552022+0 2.452665-6 1.734695+0 2.456988-6 0.0 2.531891-6 0.0 2.542831-6 2.639641-8 2.544355-6 3.003474-8 2.550587-6 5.486090-8 2.556818-6 9.250302-8 2.563050-6 1.439802-7 2.581746-6 3.359438-7 2.587978-6 3.796899-7 2.594210-6 4.001341-7 2.600442-6 4.044802-7 2.614673-6 3.496147-7 2.619138-6 3.822225-7 2.625370-6 4.468494-7 2.627545-6 4.777200-7 2.633980-6 6.196268-7 2.640416-6 8.308924-7 2.653287-6 1.387961-6 2.659723-6 1.677889-6 2.666159-6 1.906188-6 2.672594-6 2.027587-6 2.675779-6 2.023454-6 2.688951-6 3.599859-2 2.695537-6 6.575264-2 2.702123-6 1.108667-1 2.708710-6 1.725621-1 2.728468-6 4.026313-1 2.735054-6 4.550612-1 2.740067-6 4.700562-1 2.753555-6 9.357572+0 2.760300-6 1.667792+1 2.767044-6 2.780251+1 2.775178-6 4.690861+1 2.794452-6 1.008670+2 2.801982-6 1.139314+2 2.808440-6 1.173316+2 2.815256-6 1.117099+2 2.822211-6 9.772920+1 2.832828-6 6.773385+1 2.841232-6 4.390515+1 2.847976-6 2.834364+1 2.854720-6 1.689078+1 2.861465-6 9.291756+0 2.871581-6 2.362002+0 2.874953-6 0.0 3.044337-6 0.0 3.058470-6 1.367052-2 3.059324-6 1.998598-2 3.066817-6 8.011742-2 3.073526-6 1.387069-1 3.081054-6 2.423356-1 3.089297-6 4.111418-1 3.097216-6 6.239149-1 3.113291-6 1.117743+0 3.120086-6 1.290539+0 3.126763-6 1.402081+0 3.134257-6 1.427329+0 3.141750-6 1.345879+0 3.150580-6 1.135194+0 3.166280-6 6.528380-1 3.171723-6 4.960655-1 3.179216-6 3.249913-1 3.186709-6 2.082966-1 3.193974-6 1.364747-1 3.201502-6 1.079427-1 3.209030-6 8.452851-2 3.231274-6 1.828073-1 3.239093-6 2.094829-1 3.246911-6 2.234107-1 3.254730-6 2.216063-1 3.262549-6 2.043075-1 3.272014-6 1.672210-1 3.287548-6 9.590590-2 3.293823-6 7.003722-2 3.301642-6 4.433671-2 3.309461-6 2.541652-2 3.313798-6 1.791996-2 3.317279-6 1.313196-2 3.325098-6 6.668553-3 3.332917-6 0.0 3.356699-6 0.0 3.356748-6 9.67674-11 3.357041-6 5.284847-5 3.365304-6 3.042566-2 3.373567-6 6.018825-2 3.381829-6 1.099121-1 3.390092-6 1.852853-1 3.398355-6 2.883350-1 3.423144-6 6.736603-1 3.431407-6 7.641040-1 3.439670-6 8.006220-1 3.447933-6 7.771436-1 3.456196-6 7.008212-1 3.480985-6 3.541893-1 3.489248-6 2.609680-1 3.497540-6 1.912363-1 3.506044-6 1.411197-1 3.514548-6 1.049113-1 3.519199-6 8.233609-2 3.522299-6 7.331733-2 3.536524-6 8.173831-2 3.540622-6 8.989934-2 3.545186-6 1.108788-1 3.554373-6 1.729488-1 3.558454-6 2.105667-1 3.562790-6 2.580606-1 3.567170-6 3.149026-1 3.575885-6 4.507263-1 3.597158-6 8.391566-1 3.608093-6 9.820205-1 3.617590-6 1.038383+0 3.627770-6 1.024247+0 3.638054-6 9.224869-1 3.659086-6 6.382854-1 3.668093-6 5.478558-1 3.676593-6 4.942464-1 3.683779-6 4.730204-1 3.694515-6 4.613718-1 3.707695-6 4.655578-1 3.741490-6 4.054102-1 3.759426-6 3.810066-1 3.806044-6 3.707747-1 3.841556-6 3.746132-1 3.864327-6 4.147156-1 3.879960-6 4.779788-1 3.918160-6 7.074394-1 3.927710-6 7.393491-1 3.936655-6 7.418514-1 3.946403-6 7.156816-1 3.968554-6 5.823112-1 3.987506-6 5.708241-1 3.997434-6 6.260352-1 4.006573-6 7.399460-1 4.019291-6 1.006176+0 4.050204-6 1.814653+0 4.058396-6 1.960568+0 4.068550-6 2.031800+0 4.079110-6 1.979231+0 4.081754-6 1.957678+0 4.095223-6 2.206763+0 4.102597-6 2.333408+0 4.111793-6 2.687693+0 4.122219-6 3.464755+0 4.133695-6 4.813974+0 4.163467-6 9.283690+0 4.174102-6 1.030918+1 4.184298-6 1.056274+1 4.193773-6 1.009851+1 4.204937-6 8.774114+0 4.232130-6 4.375855+0 4.242623-6 3.003786+0 4.252222-6 2.070494+0 4.262268-6 1.423605+0 4.282359-6 6.375906-1 4.400655-6 6.577266-1 4.480435-6 6.496314-1 4.533074-6 6.815258-1 4.566547-6 7.448836-1 4.582255-6 7.991528-1 4.604772-6 1.137898+0 4.617612-6 1.434794+0 4.630137-6 1.834689+0 4.654868-6 2.854005+0 4.670929-6 3.511045+0 4.684667-6 3.878626+0 4.697297-6 3.913732+0 4.708694-6 3.708524+0 4.721727-6 3.240796+0 4.752027-6 1.869557+0 4.763254-6 1.469344+0 4.774425-6 1.180619+0 4.785228-6 9.933563-1 4.807785-6 7.594311-1 4.825370-6 7.706174-1 4.849124-6 9.013448-1 4.861001-6 1.007071+0 4.875847-6 1.211187+0 4.888548-6 1.439315+0 4.920386-6 2.072239+0 4.932263-6 2.220443+0 4.947109-6 2.248856+0 4.959813-6 2.147747+0 4.981856-6 1.815205+0 4.995554-6 1.584745+0 5.003525-6 1.476414+0 5.015402-6 1.377346+0 5.027279-6 1.352908+0 5.044753-6 1.429408+0 5.073939-6 1.638477+0 5.086336-6 1.692592+0 5.104284-6 1.688181+0 5.145187-6 1.592421+0 5.258534-6 1.584200+0 5.353852-6 1.524428+0 5.433813-6 1.597847+0 5.559043-6 1.534771+0 6.879320-6 1.458013+0 1.105495-5 1.400525+0 1.436235-5 1.233135+0 1.704350-5 1.061419+0 1.712740-5 3.207192+0 1.716935-5 4.982664+0 1.721130-5 7.676135+0 1.725325-5 1.136056+1 1.737910-5 2.510205+1 1.742105-5 2.823271+1 1.746824-5 2.927717+1 1.751024-5 2.797647+1 1.752612-5 2.682916+1 1.754690-5 2.985123+1 1.761239-5 3.687145+1 1.765943-5 4.917032+1 1.770137-5 6.840114+1 1.774560-5 9.861481+1 1.787392-5 2.112267+2 1.792134-5 2.380096+2 1.796315-5 2.453701+2 1.800460-5 2.350874+2 1.804918-5 2.064069+2 1.817319-5 9.240876+1 1.821633-5 6.000435+1 1.825947-5 3.615489+1 1.830261-5 2.032981+1 1.836731-5 5.897014+0 1.838888-5 9.776342-1 1.957547-5 9.093130-1 1.967184-5 1.243195+0 1.972002-5 1.520976+0 1.976820-5 1.943528+0 1.981639-5 2.522364+0 1.996093-5 4.682946+0 2.000912-5 5.174523+0 2.005730-5 5.357730+0 2.011430-5 5.105042+0 2.014076-5 4.849649+0 2.018636-5 4.557779+0 2.023991-5 4.121515+0 2.028948-5 3.949835+0 2.033906-5 4.188406+0 2.039458-5 5.019289+0 2.047880-5 7.113871+0 2.053286-5 8.569519+0 2.059312-5 9.797193+0 2.064270-5 1.019543+1 2.069392-5 9.938118+0 2.076159-5 8.886983+0 2.087914-5 6.544981+0 2.093920-5 5.792589+0 2.098987-5 5.597086+0 2.107542-5 5.790210+0 2.121580-5 6.430956+0 2.129834-5 6.588520+0 2.176451-5 5.962224+0 2.206250-5 5.803088+0 2.280940-5 5.573858+0 2.426797-5 4.905114+0 2.438744-5 1.481441+1 2.444717-5 2.302080+1 2.451064-5 3.653826+1 2.457153-5 5.424599+1 2.475186-5 1.174604+2 2.481999-5 1.317040+2 2.488091-5 1.345488+2 2.493885-5 1.277934+2 2.500704-5 1.094196+2 2.516396-5 5.344604+1 2.522370-5 3.609569+1 2.528343-5 2.332077+1 2.534316-5 1.483748+1 2.546263-5 4.448029+0 2.680369-5 4.008887+0 2.699775-5 4.129501+0 2.712968-5 4.386918+0 2.738420-5 5.165375+0 2.762885-5 5.833200+0 2.772453-5 6.337463+0 2.794920-5 7.820380+0 2.801650-5 8.016674+0 2.811778-5 7.820507+0 2.834105-5 6.807424+0 2.843983-5 6.586890+0 2.897036-5 6.674314+0 2.954570-5 6.477451+0 3.037274-5 6.115305+0 3.364535-5 5.077836+0 3.784556-5 4.045796+0 4.164008-5 3.355346+0 4.205388-5 3.486044+0 4.256359-5 3.797332+0 4.277209-5 3.729301+0 4.327995-5 3.234036+0 4.349743-5 3.151535+0 4.423438-5 3.166226+0 4.720147-5 2.732869+0 5.191735-5 2.228113+0 5.693923-5 1.842813+0 6.317920-5 1.505792+0 7.071875-5 1.228511+0 7.959819-5 1.006689+0 7.999003-5 2.624797+0 8.018651-5 3.970715+0 8.058125-5 4.072559+1 8.077862-5 7.051268+1 8.099210-5 1.188641+2 8.121923-5 1.881403+2 8.177790-5 3.809293+2 8.199517-5 4.244109+2 8.218986-5 4.334902+2 8.238807-5 4.099362+2 8.260883-5 3.505775+2 8.315639-5 1.579087+2 8.335869-5 1.014834+2 8.354662-5 6.240139+1 8.374241-5 3.576753+1 8.409664-5 6.005371+0 8.413389-5 2.803731+0 8.459840-5 2.665571+0 8.486223-5 2.743065+0 8.525348-5 3.046450+0 8.582596-5 3.716860+0 8.599289-5 3.933327+0 8.642101-5 2.732816+1 8.663700-5 4.694510+1 8.686794-5 7.939654+1 8.710118-5 1.240680+2 8.771101-5 2.607449+2 8.795043-5 2.929351+2 8.814865-5 3.006319+2 8.834938-5 2.878611+2 8.857418-5 2.517299+2 8.917866-5 1.168848+2 8.939645-5 7.795498+1 8.959147-5 5.181321+1 8.980629-5 3.284246+1 9.022611-5 9.923801+0 9.115580-5 1.006348+1 9.253198-5 1.155903+1 9.465485-5 1.358801+1 9.668152-5 1.474582+1 9.923967-5 1.525104+1 1.024476-4 1.476973+1 1.130608-4 1.098451+1 1.213182-4 8.673208+0 1.297086-4 6.833942+0 1.376417-4 5.477958+0 1.450000-4 4.513756+0 1.536000-4 3.660425+0 1.629335-4 2.972416+0 1.681926-4 2.696897+0 1.700124-4 2.757696+0 1.709563-4 2.887979+0 1.733391-4 3.358051+0 1.742876-4 3.407219+0 1.881203-4 2.865320+0 2.041905-4 2.458099+0 2.093774-4 2.366212+0 2.109687-4 2.478996+0 2.119824-4 2.675357+0 2.141184-4 3.248586+0 2.151514-4 3.283686+0 2.177458-4 2.889451+0 2.204685-4 2.787074+0 2.460375-4 2.496546+0 2.669197-4 2.412011+0 2.732093-4 2.648103+0 2.812426-4 2.590169+0 3.077960-4 2.610639+0 3.100694-4 2.763575+0 3.116619-4 3.030399+0 3.140388-4 3.592846+0 3.154748-4 3.771879+0 3.171310-4 3.698103+0 3.194639-4 3.506764+0 3.208466-4 3.604088+0 3.242297-4 4.057079+0 3.258953-4 3.980645+0 3.289000-4 3.624814+0 3.319154-4 3.533400+0 3.433750-4 3.861192+0 3.495000-4 4.253047+0 3.566110-4 5.024343+0 3.627703-4 5.979930+0 3.715352-4 7.734586+0 3.855050-4 1.124350+1 4.220800-4 2.135219+1 4.422028-4 2.589371+1 4.654531-4 2.971011+1 4.930823-4 3.275390+1 5.418871-4 3.541148+1 6.175637-4 3.592004+1 6.231248-4 3.663349+1 6.268300-4 3.869670+1 6.338479-4 4.529271+1 6.371221-4 4.560400+1 6.459617-4 3.986403+1 6.514562-4 3.881093+1 6.601099-4 3.964570+1 6.711396-4 4.435863+1 6.764943-4 4.298474+1 6.829360-4 4.079747+1 6.962305-4 4.014590+1 8.927815-4 3.571443+1 9.145718-4 3.719559+1 1.093334-3 3.250063+1 1.241689-3 2.950199+1 1.639406-3 2.263455+1 1.957774-3 1.860972+1 2.317395-3 1.528644+1 2.741525-3 1.245429+1 3.142013-3 1.050197+1 3.157589-3 1.141180+1 3.165322-3 1.223179+1 3.173056-3 1.353137+1 3.181739-3 1.567645+1 3.196415-3 2.060576+1 3.212684-3 2.643118+1 3.220420-3 2.836102+1 3.228156-3 2.943505+1 3.236304-3 2.963752+1 3.260195-3 2.718047+1 3.282164-3 2.509215+1 3.297091-3 2.442773+1 3.318805-3 2.542774+1 3.335224-3 2.751572+1 3.367781-3 3.442836+1 3.383519-3 3.626653+1 3.402441-3 3.578725+1 3.441333-3 3.289704+1 3.472860-3 3.211303+1 3.829148-3 2.793842+1 3.874375-3 2.868022+1 3.924236-3 3.055005+1 4.000120-3 3.034132+1 4.559412-3 2.500688+1 4.707248-3 2.524956+1 4.931586-3 2.384199+1 5.085979-3 2.361671+1 5.921088-3 1.899211+1 6.805367-3 1.548074+1 7.599434-3 1.311193+1 8.868528-3 1.037874+1 1.010979-2 8.481552+0 1.155474-2 6.886729+0 1.302801-2 5.702504+0 1.480389-2 4.653958+0 1.553000-2 4.341194+0 1.563684-2 4.500103+0 1.570227-2 4.850881+0 1.576288-2 5.451774+0 1.586375-2 6.980227+0 1.597567-2 8.659230+0 1.606947-2 9.425518+0 1.618431-2 9.672301+0 1.875184-2 7.625503+0 1.892650-2 7.733020+0 1.907096-2 8.328656+0 1.929231-2 9.636565+0 1.947402-2 9.998065+0 1.975216-2 1.026376+1 2.002194-2 1.089368+1 2.048560-2 1.073430+1 2.348417-2 8.703823+0 2.702012-2 6.980227+0 3.038181-2 5.787201+0 3.443205-2 4.718595+0 3.853355-2 3.927207+0 4.264531-2 3.318669+0 4.845311-2 2.682968+0 5.493560-2 2.171580+0 6.228379-2 1.756095+0 7.004275-2 1.437658+0 7.895691-2 1.170936+0 8.862579-2 9.603850-1 1.004089-1 7.750589-1 1.046137-1 7.263845-1 1.052313-1 7.476771-1 1.056051-1 7.998330-1 1.059321-1 8.944253-1 1.062152-1 1.027638+0 1.064857-1 1.205872+0 1.069614-1 1.623149+0 1.076930-1 2.324367+0 1.082197-1 2.681584+0 1.087996-1 2.872445+0 1.099707-1 2.915429+0 1.271573-1 2.333663+0 1.447910-1 1.900825+0 1.669562-1 1.516436+0 1.882069-1 1.252819+0 2.136684-1 1.023747+0 2.406884-1 8.479762-1 2.720559-1 7.006618-1 3.063530-1 5.841476-1 3.469864-1 4.844840-1 3.949508-1 4.011461-1 4.484297-1 3.357050-1 5.082970-1 2.835504-1 5.770985-1 2.405976-1 6.550131-1 2.059142-1 7.640557-1 1.721158-1 8.861352-1 1.462456-1 1.070165+0 1.201175-1 1.228714+0 1.026329-1 1.410753+0 8.769337-2 1.619761+0 7.492850-2 1.859734+0 6.402172-2 2.135261+0 5.470256-2 2.451607+0 4.673991-2 2.814822+0 3.993633-2 3.231848+0 3.412310-2 3.736934+0 2.893225-2 4.461192+0 2.363937-2 5.122134+0 2.019836-2 5.880996+0 1.725824-2 6.752287+0 1.474608-2 7.752663+0 1.259961-2 8.901248+0 1.076558-2 9.760024+0 9.693727-3 1.000000+1 2.020149-2 1 89000 7 0 2.270000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-8.847117+1 1.331401-6-8.647804+1 1.357862-6-8.522196+1 1.371674-6-8.883236+1 1.387152-6-8.748164+1 1.410861-6-8.851695+1 1.446825-6-8.744333+1 1.458829-6-8.864094+1 1.490337-6-8.886503+1 2.094746-6-8.464500+1 2.259755-6-7.991815+1 2.312897-6-7.484356+1 2.336256-6-6.910687+1 2.366748-6-5.182261+1 2.373458-6-5.056034+1 2.379222-6-5.245196+1 2.385391-6-5.841032+1 2.393396-6-7.200969+1 2.399746-6-8.598135+1 2.405725-6-7.948200+1 2.413636-6-6.617700+1 2.419568-6-6.034722+1 2.426953-6-5.825450+1 2.434653-6-6.085150+1 2.464004-6-7.759900+1 2.492483-6-8.412888+1 2.544355-6-8.877934+1 2.659723-6-7.879061+1 2.702123-6-7.127195+1 2.725495-6-6.336705+1 2.737247-6-5.610729+1 2.745632-6-4.736856+1 2.753555-6-4.006848+1 2.761143-6-3.173507+1 2.768396-6-2.486944+1 2.769940-6-2.393738+1 2.775178-6-2.197003+1 2.777460-6-2.206279+1 2.780436-6-2.338311+1 2.783620-6-2.602841+1 2.787053-6-3.030107+1 2.791082-6-3.749009+1 2.793746-6-4.420993+1 2.800574-6-6.582312+1 2.806940-6-8.881385+1 2.810900-6-7.305675+1 2.816602-6-5.208399+1 2.822211-6-3.514269+1 2.824112-6-3.056672+1 2.828586-6-2.183808+1 2.831168-6-1.827858+1 2.833657-6-1.591910+1 2.837438-6-1.412493+1 2.839335-6-1.381362+1 2.840283-6-1.388396+1 2.844604-6-1.562712+1 2.847133-6-1.713379+1 2.848819-6-1.892561+1 2.853983-6-2.352782+1 2.863783-6-3.431764+1 2.873267-6-4.283629+1 2.878565-6-4.890015+1 2.889902-6-5.588319+1 2.910412-6-6.300693+1 2.947147-6-6.974205+1 3.017932-6-7.585620+1 3.120086-6-7.994468+1 3.209030-6-8.093908+1 3.456196-6-8.363822+1 3.643312-6-8.464541+1 4.093292-6-8.900738+1 4.126715-6-8.888724+1 4.163467-6-8.902740+1 4.213786-6-8.015471+1 4.252222-6-8.050843+1 4.342000-6-8.413237+1 4.666965-6-8.707578+1 4.752027-6-8.407100+1 4.929294-6-8.615326+1 1.162600-5-8.789363+1 1.466097-5-8.220003+1 1.589176-5-7.546752+1 1.648203-5-6.804391+1 1.680042-5-6.032610+1 1.697336-5-5.314173+1 1.708545-5-4.516079+1 1.727130-5-2.864512+1 1.732544-5-2.575679+1 1.736568-5-2.452368+1 1.743154-5-2.431263+1 1.746824-5-2.353559+1 1.749119-5-2.190567+1 1.751024-5-1.977993+1 1.752215-5-1.730673+1 1.752871-5-1.492049+1 1.753326-5-1.365816+1 1.754008-5-1.211044+1 1.756327-5-7.853820+0 1.757555-5-5.427308+0 1.759397-5-1.360701+0 1.760318-5 1.022307+0 1.760779-5 2.383369+0 1.761795-5 6.057571+0 1.764709-5 1.476354+1 1.765195-5 1.642046+1 1.765943-5 1.967984+1 1.770642-5 3.490425+1 1.774560-5 4.284331+1 1.775895-5 4.370071+1 1.777801-5 4.225620+1 1.779027-5 4.006131+1 1.781112-5 3.427744+1 1.783096-5 2.610786+1 1.784102-5 2.088163+1 1.784857-5 1.641833+1 1.785424-5 1.272143+1 1.785848-5 9.720982+0 1.786485-5 4.762607+0 1.786804-5 1.995362+0 1.786963-5 4.907076-1 1.787122-5-1.223197+0 1.787392-5-4.041092+0 1.789920-5-2.764503+1 1.791010-5-3.931690+1 1.792134-5-5.380152+1 1.795200-5-8.868354+1 1.796769-5-6.721683+1 1.799794-5-3.210110+1 1.800460-5-2.293676+1 1.800950-5-1.727916+1 1.801378-5-1.267517+1 1.804378-5 1.689567+1 1.804562-5 1.894748+1 1.804918-5 2.233159+1 1.806170-5 3.230819+1 1.807960-5 4.370031+1 1.810261-5 5.502845+1 1.811916-5 6.108912+1 1.814280-5 6.646356+1 1.816749-5 6.766872+1 1.821094-5 6.031862+1 1.825475-5 4.670934+1 1.830800-5 2.705340+1 1.833159-5 1.969165+1 1.836731-5 9.434079+0 1.837810-5 5.906073+0 1.838349-5 3.901512+0 1.838619-5 2.770355+0 1.839117-5 1.612820-1 1.839560-5-1.650159+0 1.840391-5-4.476656+0 1.841118-5-6.628452+0 1.842391-5-9.948698+0 1.843345-5-1.217045+1 1.844776-5-1.518174+1 1.846208-5-1.788811+1 1.848480-5-2.169791+1 1.853024-5-2.801332+1 1.859841-5-3.531966+1 1.868929-5-4.256650+1 1.882562-5-5.032915+1 1.905283-5-5.890686+1 1.941755-5-6.763796+1 1.991275-5-7.647794+1 2.022652-5-7.690129+1 2.049630-5-8.110992+1 2.080068-5-7.605921+1 2.121580-5-7.967136+1 2.275500-5-8.553524+1 2.331508-5-8.899101+1 2.383019-5-7.980869+1 2.408686-5-7.068502+1 2.421383-5-6.237860+1 2.426797-5-5.596607+1 2.430066-5-5.142302+1 2.438744-5-4.123809+1 2.445791-5-3.140016+1 2.451764-5-2.434163+1 2.457153-5-2.079661+1 2.458873-5-2.055889+1 2.461330-5-2.144462+1 2.462910-5-2.261611+1 2.465767-5-2.587000+1 2.468667-5-3.063352+1 2.471671-5-3.740035+1 2.474174-5-4.515283+1 2.480435-5-6.982920+1 2.482633-5-8.079671+1 2.484933-5-8.552369+1 2.490105-5-6.019968+1 2.493326-5-4.558737+1 2.495182-5-3.727133+1 2.499865-5-2.009558+1 2.501438-5-1.527038+1 2.502722-5-1.194814+1 2.503685-5-9.720600+0 2.505130-5-6.736455+0 2.506575-5-4.100389+0 2.507802-5-2.156499+0 2.508877-5-7.217546-1 2.510757-5 1.264084+0 2.512166-5 2.318522+0 2.513224-5 2.853245+0 2.514810-5 3.191036+0 2.515603-5 3.097962+0 2.519383-5 1.035558+0 2.520876-5 2.554358-2 2.521623-5-6.549436-1 2.522370-5-1.631607+0 2.523116-5-2.653650+0 2.525729-5-5.423297+0 2.527036-5-6.921195+0 2.527689-5-7.779259+0 2.528343-5-8.855710+0 2.535397-5-1.856742+1 2.544614-5-2.908492+1 2.548122-5-3.451690+1 2.552821-5-3.916397+1 2.563242-5-4.588092+1 2.578614-5-5.208827+1 2.608495-5-5.908842+1 2.666280-5-6.605747+1 2.749995-5-7.178354+1 2.794920-5-7.260480+1 2.834105-5-7.148017+1 3.364535-5-7.475246+1 5.327979-5-8.200865+1 5.972065-5-8.524206+1 6.760830-5-7.771569+1 7.187246-5-6.902715+1 7.434469-5-5.983915+1 7.585776-5-5.077975+1 7.689994-5-4.157050+1 7.758365-5-3.325181+1 7.805580-5-2.581966+1 7.841730-5-1.877872+1 7.869407-5-1.229640+1 7.880709-5-9.302600+0 7.890598-5-6.486191+0 7.899250-5-3.852358+0 7.914392-5 1.194159+0 7.925749-5 5.409605+0 7.934267-5 8.859484+0 7.947043-5 1.459859+1 7.959819-5 2.128010+1 7.970579-5 2.762172+1 7.981339-5 3.457146+1 7.994587-5 4.456746+1 8.007599-5 5.690617+1 8.015888-5 6.712618+1 8.022275-5 7.813356+1 8.055184-5 1.167642+2 8.085200-5 1.574257+2 8.106146-5 1.770685+2 8.124799-5 1.818666+2 8.139038-5 1.724601+2 8.151343-5 1.555770+2 8.163271-5 1.305908+2 8.172864-5 1.016662+2 8.177790-5 8.343566+1 8.190529-5 3.439834+1 8.193550-5 2.185992+1 8.195493-5 1.313963+1 8.196464-5 8.423808+0 8.196949-5 5.894279+0 8.197435-5 3.032186+0 8.197742-5 1.151517+0 8.198346-5-2.077589+0 8.199517-5-7.843765+0 8.201713-5-1.796806+1 8.213839-5-7.203613+1 8.217347-5-9.040086+1 8.218986-5-8.155895+1 8.236725-5-1.794496+0 8.237032-5-9.378172-5 8.237636-5 3.070762+0 8.238807-5 8.498915+0 8.241003-5 1.781546+1 8.242924-5 2.542700+1 8.246285-5 3.798153+1 8.256370-5 7.406321+1 8.260883-5 8.937958+1 8.270515-5 1.135378+2 8.283239-5 1.358620+2 8.293921-5 1.478104+2 8.306696-5 1.540726+2 8.315639-5 1.513447+2 8.334002-5 1.369127+2 8.354662-5 1.092537+2 8.380041-5 7.225697+1 8.405938-5 4.054210+1 8.411718-5 3.200551+1 8.415287-5 2.500232+1 8.420013-5 1.810945+1 8.424301-5 1.280880+1 8.428053-5 8.599368+0 8.434618-5 1.899707+0 8.439543-5-2.706531+0 8.446929-5-9.110614+0 8.459840-5-1.924467+1 8.476415-5-3.085646+1 8.525348-5-6.079105+1 8.572737-5-9.046780+1 8.579335-5-9.486840+1 8.597096-5-7.978896+1 8.605740-5-6.979832+1 8.640000-5-4.002677+1 8.663700-5-1.633269+1 8.665054-5-1.463793+1 8.667593-5-1.208605+1 8.685365-5 2.839180+0 8.686794-5 4.345827+0 8.689474-5 6.391562+0 8.691819-5 7.844263+0 8.695922-5 9.917258+0 8.710118-5 1.535673+1 8.713774-5 1.587380+1 8.717202-5 1.576289+1 8.720415-5 1.524450+1 8.726252-5 1.339766+1 8.728900-5 1.219301+1 8.733865-5 9.333118+0 8.738209-5 6.187911+0 8.742010-5 2.931125+0 8.745336-5-3.194406-1 8.748246-5-3.485142+0 8.750793-5-6.514182+0 8.754971-5-1.204862+1 8.758382-5-1.715050+1 8.762860-5-2.480730+1 8.767538-5-3.456294+1 8.771101-5-4.383325+1 8.786646-5-7.988258+1 8.792083-5-9.537658+1 8.797183-5-7.993506+1 8.809440-5-4.554356+1 8.812307-5-3.617923+1 8.813657-5-3.096782+1 8.817131-5-2.008833+1 8.821096-5-8.779584+0 8.827043-5 7.622620+0 8.831503-5 2.047668+1 8.833653-5 2.789139+1 8.837347-5 3.858280+1 8.841846-5 4.992555+1 8.857418-5 8.664429+1 8.864858-5 1.001951+2 8.875491-5 1.148870+2 8.889163-5 1.278765+2 8.905757-5 1.357914+2 8.917866-5 1.348079+2 8.939645-5 1.240008+2 8.959147-5 1.081556+2 8.991078-5 8.028039+1 9.016997-5 6.110057+1 9.027736-5 5.000502+1 9.039798-5 4.144941+1 9.056606-5 3.246873+1 9.067526-5 2.766494+1 9.088379-5 1.991928+1 9.098313-5 1.673105+1 9.115580-5 1.177588+1 9.126895-5 8.870578+0 9.138210-5 6.198547+0 9.160484-5 1.506049+0 9.182757-5-2.558482+0 9.202711-5-5.772477+0 9.222666-5-8.636976+0 9.253198-5-1.245922+1 9.284172-5-1.578149+1 9.338809-5-2.059812+1 9.410298-5-2.548317+1 9.501833-5-3.010919+1 9.618477-5-3.425523+1 9.788326-5-3.819547+1 1.005773-4-4.172284+1 1.078542-4-4.612175+1 1.242471-4-5.122147+1 1.742876-4-5.976639+1 2.151514-4-6.268304+1 3.038457-4-6.937142+1 3.242297-4-7.136248+1 3.906221-4-8.204496+1 4.260000-4-8.137427+1 5.561329-4-6.468761+1 6.073550-4-6.140549+1 6.200655-4-6.273771+1 6.289820-4-6.526010+1 6.335803-4-6.231948+1 6.395671-4-5.552541+1 6.444721-4-5.440161+1 6.634475-4-5.792520+1 6.694569-4-5.581037+1 6.764943-4-5.146349+1 7.191663-4-4.903462+1 8.128305-4-4.297642+1 8.856210-4-4.046696+1 9.067760-4-4.038172+1 9.304888-4-3.797953+1 1.019027-3-3.396989+1 1.206713-3-2.910445+1 1.265855-3-2.806427+1 1.404969-3-2.566395+1 1.639406-3-2.361944+1 1.957774-3-2.274308+1 2.317395-3-2.332257+1 2.652601-3-2.532980+1 2.906623-3-2.841100+1 3.046141-3-3.144005+1 3.125533-3-3.468453+1 3.165322-3-3.785293+1 3.212684-3-4.374982+1 3.236304-3-4.391011+1 3.295130-3-3.857414+1 3.327222-3-3.810049+1 3.375453-3-3.902029+1 3.402441-3-3.716494+1 3.456052-3-3.178241+1 3.521977-3-2.817292+1 3.620624-3-2.499475+1 3.744305-3-2.272735+1 3.829148-3-2.234860+1 3.899974-3-2.306681+1 3.939937-3-2.183072+1 4.000120-3-1.947225+1 4.103054-3-1.724077+1 4.283112-3-1.487104+1 4.471936-3-1.341670+1 4.592059-3-1.315583+1 4.657210-3-1.318380+1 4.775522-3-1.179627+1 4.895069-3-1.113499+1 4.982297-3-1.090171+1 5.128684-3-9.511654+0 5.370318-3-8.210376+0 5.687506-3-7.080451+0 6.062154-3-6.172423+0 6.569011-3-5.374845+0 7.159422-3-4.835523+0 7.894847-3-4.522871+0 8.868528-3-4.407810+0 1.010979-2-4.586120+0 1.155474-2-5.038761+0 1.302801-2-5.784290+0 1.406452-2-6.598088+0 1.480389-2-7.543207+0 1.522299-2-8.444469+0 1.548290-2-9.425199+0 1.563684-2-1.052716+1 1.581559-2-1.220302+1 1.589117-2-1.239371+1 1.600220-2-1.172164+1 1.618431-2-9.916688+0 1.634722-2-8.926408+0 1.663210-2-7.981098+0 1.705462-2-7.224130+0 1.762176-2-6.765377+0 1.815673-2-6.702624+0 1.857023-2-6.983135+0 1.882365-2-7.509416+0 1.911593-2-8.550713+0 1.924142-2-8.482614+0 1.953307-2-7.511946+0 1.988363-2-7.053096+0 2.026686-2-5.748860+0 2.063947-2-4.956241+0 2.121380-2-4.169248+0 2.197228-2-3.459946+0 2.287573-2-2.859324+0 2.388660-2-2.375429+0 2.510080-2-1.962803+0 2.626486-2-1.679131+0 2.770129-2-1.424318+0 2.911136-2-1.250689+0 3.111086-2-1.089637+0 3.353980-2-9.855312-1 3.631292-2-9.431034-1 3.981072-2-9.423907-1 4.641192-2-1.038929+0 7.004275-2-1.570648+0 8.556176-2-1.985970+0 9.387721-2-2.310420+0 9.912645-2-2.638725+0 1.022917-1-2.975614+0 1.042065-1-3.337270+0 1.052313-1-3.696254+0 1.067351-1-4.499745+0 1.073190-1-4.558836+0 1.079292-1-4.327406+0 1.093863-1-3.473390+0 1.103775-1-3.123116+0 1.122019-1-2.733399+0 1.147534-1-2.391921+0 1.179953-1-2.110457+0 1.234040-1-1.796260+0 1.303167-1-1.547523+0 1.395180-1-1.346769+0 1.535551-1-1.171752+0 1.669562-1-1.082465+0 1.882069-1-1.015333+0 2.231072-1-9.884405-1 5.082970-1-1.121520+0 8.861352-1-1.179534+0 2.688134+0-1.206779+0 8.118035+0-1.213430+0 1.000000+1-1.210999+0 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 8.034211-2 1.088254-6 1.192179-1 1.159484-6 1.614612-1 1.222089-6 2.084491-1 1.250488-6 2.336265-1 1.277112-6 2.599778-1 1.327032-6 3.167286-1 1.370713-6 3.754952-1 1.408933-6 4.353141-1 1.471638-6 5.533686-1 1.497243-6 6.104504-1 1.542051-6 7.243374-1 1.575657-6 8.231495-1 1.600862-6 9.069748-1 1.638669-6 1.049803+0 1.692981-6 1.295304+0 1.734246-6 1.525783+0 1.759004-6 1.687008+0 1.784439-6 1.873093+0 1.808284-6 2.068616+0 1.830638-6 2.274009+0 1.851596-6 2.489306+0 1.871244-6 2.714583+0 1.889663-6 2.949817+0 1.906932-6 3.194924+0 1.923121-6 3.449815+0 1.938298-6 3.714449+0 1.952527-6 3.989029+0 1.965866-6 4.274143+0 1.978372-6 4.569961+0 2.001820-6 5.212396+0 2.025000-6 5.989077+0 2.040290-6 6.607355+0 2.055998-6 7.365193+0 2.069743-6 8.165442+0 2.081770-6 9.009023+0 2.092294-6 9.897897+0 2.101502-6 1.083542+1 2.109559-6 1.182725+1 2.116608-6 1.288157+1 2.122777-6 1.400695+1 2.128175-6 1.520820+1 2.132898-6 1.648243+1 2.137030-6 1.781742+1 2.140646-6 1.919306+1 2.143810-6 2.058457+1 2.146578-6 2.196616+1 2.151423-6 2.480255+1 2.155057-6 2.731862+1 2.161359-6 3.254447+1 2.167790-6 3.901087+1 2.171289-6 4.295601+1 2.175287-6 4.774157+1 2.176620-6 4.938189+1 2.181951-6 5.600764+1 2.182618-6 5.682850+1 2.187283-6 6.237911+1 2.189115-6 6.441380+1 2.192614-6 6.795132+1 2.194446-6 6.957825+1 2.196196-6 7.095906+1 2.197945-6 7.215296+1 2.200277-6 7.342485+1 2.202527-6 7.427486+1 2.205609-6 7.479288+1 2.208233-6 7.461445+1 2.211273-6 7.367828+1 2.213606-6 7.243317+1 2.214897-6 7.155235+1 2.217083-6 6.976186+1 2.219437-6 6.743945+1 2.221821-6 6.470600+1 2.224254-6 6.157117+1 2.226589-6 5.828602+1 2.229014-6 5.464702+1 2.231363-6 5.096044+1 2.233794-6 4.704318+1 2.236222-6 4.308968+1 2.238084-6 4.006844+1 2.240242-6 3.661655+1 2.241928-6 3.397994+1 2.244239-6 3.048239+1 2.246259-6 2.756301+1 2.249149-6 2.365099+1 2.251424-6 2.081617+1 2.252352-6 1.972634+1 2.255000-6 1.683750+1 2.257683-6 1.425159+1 2.264445-6 9.257024+0 2.266856-6 7.978980+0 2.268773-6 7.138374+0 2.270349-6 6.557068+0 2.271861-6 6.088404+0 2.273245-6 5.731943+0 2.274399-6 5.485502+0 2.275519-6 5.288385+0 2.276065-6 5.206713+0 2.277142-6 5.072942+0 2.278185-6 4.976394+0 2.279196-6 4.912656+0 2.280175-6 4.877796+0 2.282071-6 4.881878+0 2.283849-6 4.966546+0 2.285516-6 5.112337+0 2.288641-6 5.545715+0 2.294111-6 6.752912+0 2.305328-6 1.072721+1 2.309222-6 1.250728+1 2.312474-6 1.412652+1 2.314340-6 1.510274+1 2.316207-6 1.610861+1 2.320472-6 1.849353+1 2.321894-6 1.930631+1 2.327581-6 2.256745+1 2.328292-6 2.296920+1 2.333268-6 2.567389+1 2.335223-6 2.666042+1 2.338955-6 2.836973+1 2.340910-6 2.915348+1 2.342776-6 2.981761+1 2.344642-6 3.039125+1 2.347130-6 3.100231+1 2.349529-6 3.141189+1 2.350329-6 3.150721+1 2.352817-6 3.166705+1 2.354416-6 3.165825+1 2.356016-6 3.156095+1 2.358859-6 3.116957+1 2.361348-6 3.060190+1 2.362725-6 3.020038+1 2.365057-6 2.938555+1 2.367568-6 2.833218+1 2.369688-6 2.731426+1 2.372230-6 2.595882+1 2.374593-6 2.458845+1 2.375115-6 2.427424+1 2.379070-6 2.178527+1 2.381608-6 2.012586+1 2.383548-6 1.884545+1 2.385949-6 1.726839+1 2.388527-6 1.560768+1 2.389912-6 1.473809+1 2.392560-6 1.313521+1 2.395430-6 1.150764+1 2.399446-6 9.461895+0 2.407266-6 6.378816+0 2.413064-6 4.891609+0 2.414619-6 4.603187+0 2.415608-6 4.442723+0 2.417091-6 4.234255+0 2.418573-6 4.062972+0 2.419995-6 3.932031+0 2.421062-6 3.854211+0 2.421861-6 3.806842+0 2.423061-6 3.752740+0 2.424507-6 3.713271+0 2.425980-6 3.700243+0 2.426958-6 3.705840+0 2.427932-6 3.722083+0 2.429872-6 3.784097+0 2.431797-6 3.881356+0 2.433708-6 4.009327+0 2.435603-6 4.163884+0 2.439364-6 4.539898+0 2.443066-6 4.983104+0 2.450297-6 5.997478+0 2.457360-6 7.112252+0 2.464201-6 8.264950+0 2.517225-6 1.883055+1 2.536488-6 2.407947+1 2.553418-6 2.998837+1 2.562891-6 3.402365+1 2.568297-6 3.662545+1 2.575047-6 4.023971+1 2.581375-6 4.406618+1 2.587308-6 4.811802+1 2.594927-6 5.413884+1 2.602972-6 6.178967+1 2.607555-6 6.692090+1 2.611851-6 7.238046+1 2.615879-6 7.819566+1 2.623431-6 9.146736+1 2.630039-6 1.065483+2 2.635822-6 1.234791+2 2.640881-6 1.421233+2 2.645308-6 1.621781+2 2.649181-6 1.832243+2 2.652571-6 2.047904+2 2.655536-6 2.264106+2 2.660402-6 2.682152+2 2.676708-6 4.796009+2 2.680857-6 5.534315+2 2.682884-6 5.925283+2 2.686177-6 6.601822+2 2.689471-6 7.326068+2 2.696058-6 8.894633+2 2.696882-6 9.099570+2 2.702646-6 1.056531+3 2.704910-6 1.114674+3 2.709233-6 1.224258+3 2.712578-6 1.305950+3 2.715821-6 1.380792+3 2.719166-6 1.451877+3 2.722408-6 1.513280+3 2.725290-6 1.560513+3 2.728648-6 1.605600+3 2.732495-6 1.642653+3 2.735788-6 1.661030+3 2.736935-6 1.664425+3 2.740207-6 1.665440+3 2.743459-6 1.653709+3 2.745292-6 1.641580+3 2.748514-6 1.610959+3 2.751118-6 1.577951+3 2.755756-6 1.502533+3 2.758386-6 1.451432+3 2.760602-6 1.404342+3 2.762756-6 1.355546+3 2.765277-6 1.295188+3 2.768519-6 1.213619+3 2.771401-6 1.138523+3 2.774412-6 1.058664+3 2.778401-6 9.525549+2 2.781694-6 8.662121+2 2.785400-6 7.720221+2 2.788282-6 7.017757+2 2.794869-6 5.539353+2 2.797236-6 5.057275+2 2.803991-6 3.836745+2 2.807790-6 3.251990+2 2.811136-6 2.796042+2 2.815508-6 2.279017+2 2.818739-6 1.950462+2 2.822400-6 1.628251+2 2.827569-6 1.254162+2 2.834461-6 8.788203+1 2.845660-6 4.911758+1 2.851690-6 3.612967+1 2.855136-6 3.043392+1 2.860305-6 2.368816+1 2.862028-6 2.183275+1 2.867197-6 1.719764+1 2.868920-6 1.591388+1 2.874089-6 1.267653+1 2.882704-6 8.790961+0 2.893041-6 5.699772+0 2.896487-6 4.923340+0 2.903379-6 3.653291+0 2.910271-6 2.700613+0 2.917163-6 2.023732+0 2.918024-6 1.957300+0 2.924055-6 1.601075+0 2.925293-6 1.551095+0 2.926707-6 1.503561+0 2.927767-6 1.474527+0 2.930152-6 1.429813+0 2.930947-6 1.421221+0 2.932670-6 1.413380+0 2.935254-6 1.429163+0 2.936546-6 1.449402+0 2.937838-6 1.477846+0 2.939507-6 1.526672+0 2.941482-6 1.602113+0 2.943457-6 1.696639+0 2.947053-6 1.917703+0 2.950649-6 2.202124+0 2.965033-6 3.983525+0 2.972224-6 5.274533+0 2.979416-6 6.849908+0 2.986608-6 8.729307+0 2.993800-6 1.093864+1 3.000992-6 1.351121+1 3.008184-6 1.648912+1 3.015376-6 1.992509+1 3.022567-6 2.388487+1 3.029759-6 2.845040+1 3.036951-6 3.372429+1 3.051335-6 4.695083+1 3.065718-6 6.511741+1 3.071972-6 7.518581+1 3.077835-6 8.622339+1 3.083332-6 9.831945+1 3.088484-6 1.115746+2 3.093315-6 1.260971+2 3.097844-6 1.419968+2 3.102090-6 1.593770+2 3.107241-6 1.844630+2 3.109802-6 1.989102+2 3.113301-6 2.211640+2 3.116581-6 2.450892+2 3.119656-6 2.706509+2 3.125421-6 3.283927+2 3.130466-6 3.917605+2 3.134880-6 4.593027+2 3.142122-6 6.003318+2 3.156678-6 1.035561+3 3.162899-6 1.300162+3 3.168777-6 1.600817+3 3.173571-6 1.884476+3 3.177467-6 2.140716+3 3.181363-6 2.419473+3 3.189155-6 3.038860+3 3.190129-6 3.121399+3 3.196947-6 3.723362+3 3.199626-6 3.968252+3 3.204739-6 4.440739+3 3.208696-6 4.803959+3 3.212531-6 5.147179+3 3.216488-6 5.485424+3 3.220324-6 5.791301+3 3.223733-6 6.039908+3 3.226883-6 6.246386+3 3.228603-6 6.348537+3 3.233168-6 6.579591+3 3.236734-6 6.715930+3 3.240887-6 6.822226+3 3.244774-6 6.868286+3 3.247617-6 6.868735+3 3.251492-6 6.824371+3 3.254205-6 6.763135+3 3.259771-6 6.563813+3 3.262882-6 6.412555+3 3.264979-6 6.295943+3 3.268051-6 6.105901+3 3.271033-6 5.901799+3 3.274869-6 5.615551+3 3.278278-6 5.343111+3 3.281565-6 5.068536+3 3.286557-6 4.637829+3 3.290453-6 4.297191+3 3.294836-6 3.916640+3 3.298245-6 3.626783+3 3.306037-6 2.999311+3 3.311273-6 2.614307+3 3.313829-6 2.438733+3 3.319674-6 2.070162+3 3.326381-6 1.704446+3 3.340249-6 1.132370+3 3.347535-6 9.179195+2 3.351008-6 8.329790+2 3.354372-6 7.600111+2 3.357632-6 6.972064+2 3.363946-6 5.946768+2 3.369867-6 5.176798+2 3.375417-6 4.589176+2 3.380620-6 4.132765+2 3.385498-6 3.771862+2 3.390071-6 3.481486+2 3.398646-6 3.034625+2 3.406149-6 2.722509+2 3.412714-6 2.494112+2 3.418458-6 2.320985+2 3.428511-6 2.064536+2 3.436051-6 1.902616+2 3.447360-6 1.696862+2 3.458669-6 1.525588+2 3.467182-6 1.414474+2 3.475695-6 1.315824+2 3.484208-6 1.227665+2 3.492722-6 1.148407+2 3.507468-6 1.028463+2 3.526168-6 9.010835+1 3.552313-6 7.557368+1 3.588279-6 5.968467+1 3.605943-6 5.346319+1 3.614775-6 5.086030+1 3.623607-6 4.866451+1 3.632440-6 4.691599+1 3.636249-6 4.630492+1 3.641963-6 4.554869+1 3.647677-6 4.497720+1 3.653306-6 4.457991+1 3.658936-6 4.432572+1 3.667768-6 4.414867+1 3.690698-6 4.410392+1 3.700341-6 4.387635+1 3.704717-6 4.368200+1 3.712739-6 4.315534+1 3.720760-6 4.240320+1 3.729593-6 4.133409+1 3.738425-6 4.005886+1 3.747257-6 3.864011+1 3.756089-6 3.714362+1 3.793093-6 3.113028+1 3.809169-6 2.893830+1 3.837302-6 2.570197+1 3.879502-6 2.175575+1 3.921702-6 1.838298+1 3.941008-6 1.693328+1 3.950661-6 1.621451+1 3.960313-6 1.549385+1 3.969966-6 1.476804+1 3.979619-6 1.403626+1 3.989272-6 1.330167+1 4.006817-6 1.199206+1 4.018230-6 1.120129+1 4.026542-6 1.068464+1 4.036404-6 1.016534+1 4.046266-6 9.775870+0 4.051554-6 9.628738+0 4.056841-6 9.527537+0 4.060435-6 9.485369+0 4.066726-6 9.462770+0 4.071443-6 9.486811+0 4.074981-6 9.526276+0 4.082942-6 9.674034+0 4.095578-6 1.003043+1 4.105440-6 1.035541+1 4.117768-6 1.074005+1 4.125165-6 1.093103+1 4.130096-6 1.103553+1 4.137492-6 1.115509+1 4.144889-6 1.123081+1 4.154751-6 1.127224+1 4.168219-6 1.124972+1 4.186619-6 1.113948+1 4.194200-6 1.107536+1 4.211411-6 1.086326+1 4.217541-6 1.075303+1 4.227914-6 1.050842+1 4.234279-6 1.031707+1 4.240644-6 1.009227+1 4.247268-6 9.822898+0 4.253892-6 9.519322+0 4.263966-6 9.000540+0 4.272850-6 8.498871+0 4.281689-6 7.974274+0 4.295072-6 7.166466+0 4.312036-6 6.188464+0 4.327593-6 5.400329+0 4.338193-6 4.945803+0 4.348792-6 4.567158+0 4.360638-6 4.236153+0 4.364663-6 4.145057+0 4.371707-6 4.009582+0 4.376990-6 3.926021+0 4.384914-6 3.824670+0 4.397314-6 3.704783+0 4.412390-6 3.573578+0 4.422990-6 3.457496+0 4.426185-6 3.415376+0 4.435771-6 3.264972+0 4.442479-6 3.137430+0 4.449500-6 2.985703+0 4.456243-6 2.825821+0 4.458490-6 2.770260+0 4.468201-6 2.524212+0 4.480438-6 2.224948+0 4.486587-6 2.091688+0 4.491412-6 1.999828+0 4.501195-6 1.857473+0 4.502715-6 1.841391+0 4.513360-6 1.780404+0 4.516205-6 1.780311+0 4.521636-6 1.800227+0 4.523300-6 1.811751+0 4.526421-6 1.840409+0 4.529152-6 1.873202+0 4.531542-6 1.907980+0 4.533633-6 1.943207+0 4.537292-6 2.016070+0 4.540036-6 2.080557+0 4.542094-6 2.134781+0 4.546725-6 2.276587+0 4.549661-6 2.381998+0 4.554535-6 2.587142+0 4.558191-6 2.769138+0 4.559409-6 2.835816+0 4.564103-6 3.124354+0 4.568916-6 3.479938+0 4.572452-6 3.786660+0 4.579797-6 4.572742+0 4.584858-6 5.255585+0 4.589396-6 5.985132+0 4.605776-6 9.798281+0 4.616437-6 1.352581+1 4.623695-6 1.672290+1 4.627090-6 1.841072+1 4.633092-6 2.169426+1 4.637049-6 2.406249+1 4.646036-6 2.999250+1 4.649804-6 3.267760+1 4.655097-6 3.660677+1 4.659828-6 4.023341+1 4.664577-6 4.393746+1 4.669191-6 4.755219+1 4.673945-6 5.123981+1 4.679114-6 5.514635+1 4.685457-6 5.969239+1 4.690366-6 6.294862+1 4.692637-6 6.436149+1 4.698133-6 6.749497+1 4.702585-6 6.970531+1 4.714011-6 7.384749+1 4.718820-6 7.488237+1 4.727524-6 7.565558+1 4.731325-6 7.555595+1 4.735091-6 7.520522+1 4.740432-6 7.429865+1 4.745053-6 7.315407+1 4.751118-6 7.119659+1 4.756966-6 6.888478+1 4.764453-6 6.543522+1 4.769990-6 6.261500+1 4.778368-6 5.806608+1 4.781161-6 5.650462+1 4.792255-6 5.025782+1 4.795419-6 4.849775+1 4.807963-6 4.180839+1 4.842064-6 2.743169+1 4.851193-6 2.462980+1 4.863656-6 2.142429+1 4.872415-6 1.953697+1 4.883204-6 1.755082+1 4.895285-6 1.567929+1 4.904377-6 1.446176+1 4.919559-6 1.270404+1 4.942374-6 1.053441+1 4.964618-6 8.836097+0 4.978354-6 7.972578+0 4.990328-6 7.332191+0 5.001744-6 6.815365+0 5.009233-6 6.522765+0 5.015738-6 6.295839+0 5.026433-6 5.971103+0 5.031869-6 5.825772+0 5.046979-6 5.474569+0 5.063648-6 5.148014+0 5.074646-6 4.958119+0 5.081658-6 4.849762+0 5.088670-6 4.755634+0 5.093889-6 4.698193+0 5.101717-6 4.639586+0 5.107588-6 4.623901+0 5.111833-6 4.631387+0 5.127852-6 4.846640+0 5.131427-6 4.943871+0 5.135002-6 5.062011+0 5.147491-6 5.654841+0 5.149071-6 5.751023+0 5.160130-6 6.563291+0 5.164980-6 6.995896+0 5.188779-6 9.702085+0 5.196539-6 1.073201+1 5.204645-6 1.183471+1 5.212815-6 1.293473+1 5.219114-6 1.374882+1 5.226195-6 1.460278+1 5.232503-6 1.528905+1 5.237891-6 1.580707+1 5.249113-6 1.664706+1 5.254171-6 1.690851+1 5.258999-6 1.708599+1 5.265979-6 1.721601+1 5.270012-6 1.722325+1 5.273541-6 1.718961+1 5.279717-6 1.704418+1 5.284349-6 1.686658+1 5.287823-6 1.669741+1 5.295640-6 1.621484+1 5.298245-6 1.602582+1 5.308408-6 1.517859+1 5.311795-6 1.486444+1 5.323948-6 1.365410+1 5.336799-6 1.231729+1 5.365950-6 9.582594+0 5.371513-6 9.160353+0 5.388204-6 8.151982+0 5.401320-6 7.651054+0 5.405709-6 7.541385+0 5.415842-6 7.395296+0 5.420467-6 7.375931+0 5.426612-6 7.392694+0 5.433299-6 7.461382+0 5.436196-6 7.505915+0 5.443016-6 7.641620+0 5.452987-6 7.903429+0 5.481715-6 8.831352+0 5.495067-6 9.210905+0 5.498655-6 9.296207+0 5.509475-6 9.499320+0 5.513302-6 9.550104+0 5.519791-6 9.609994+0 5.524397-6 9.632577+0 5.530848-6 9.637365+0 5.536331-6 9.618383+0 5.547356-6 9.524897+0 5.562472-6 9.310801+0 5.592888-6 8.809703+0 5.605366-6 8.650044+0 5.620429-6 8.520386+0 5.635493-6 8.457825+0 5.654184-6 8.449867+0 5.710000-6 8.550956+0 5.742363-6 8.569589+0 5.799889-6 8.543623+0 5.852016-6 8.463211+0 5.916242-6 8.334037+0 5.945328-6 8.318098+0 5.985768-6 8.352796+0 6.042274-6 8.414022+0 6.090663-6 8.412242+0 6.165950-6 8.372548+0 6.365959-6 8.330623+0 6.668568-6 8.327534+0 6.972870-6 8.397786+0 7.313486-6 8.531768+0 7.777721-6 8.789826+0 9.120108-6 9.658032+0 9.660509-6 9.939853+0 1.023293-5 1.012120+1 1.062689-5 1.015766+1 1.086516-5 1.014120+1 1.108042-5 1.008648+1 1.135011-5 9.989615+0 1.158719-5 9.869762+0 1.188986-5 9.661254+0 1.215000-5 9.436185+0 1.240453-5 9.184981+0 1.264393-5 8.924523+0 1.283232-5 8.838075+0 1.304050-5 9.158418+0 1.323960-5 9.672992+0 1.350316-5 1.050669+1 1.382372-5 1.175691+1 1.400346-5 1.259960+1 1.425075-5 1.396581+1 1.447505-5 1.542507+1 1.460186-5 1.636882+1 1.480303-5 1.807303+1 1.506359-5 2.066906+1 1.531189-5 2.364065+1 1.553192-5 2.679229+1 1.575687-5 3.063807+1 1.598182-5 3.525294+1 1.618225-5 4.016982+1 1.638400-5 4.607393+1 1.657667-5 5.281616+1 1.673444-5 5.934886+1 1.684579-5 6.463322+1 1.694572-5 6.993192+1 1.708048-5 7.804847+1 1.719617-5 8.605935+1 1.732848-5 9.664644+1 1.739756-5 1.028925+2 1.749344-5 1.125278+2 1.760776-5 1.257423+2 1.766759-5 1.335393+2 1.774659-5 1.449233+2 1.782066-5 1.568863+2 1.792671-5 1.765978+2 1.801622-5 1.961066+2 1.807343-5 2.102467+2 1.817735-5 2.400324+2 1.822449-5 2.556352+2 1.831288-5 2.892930+2 1.839023-5 3.246297+2 1.845790-5 3.614460+2 1.851712-5 3.995530+2 1.856893-5 4.387426+2 1.861427-5 4.787421+2 1.866331-5 5.295941+2 1.871902-5 5.994701+2 1.877217-5 6.811556+2 1.881203-5 7.538866+2 1.886435-5 8.661799+2 1.898007-5 1.184608+3 1.902482-5 1.329352+3 1.907142-5 1.487209+3 1.911801-5 1.647292+3 1.916461-5 1.805635+3 1.921121-5 1.962051+3 1.928111-5 2.210876+3 1.930440-5 2.307038+3 1.933935-5 2.477103+3 1.935100-5 2.543300+3 1.939760-5 2.876731+3 1.941444-5 3.031944+3 1.944420-5 3.364646+3 1.946022-5 3.579802+3 1.947551-5 3.812012+3 1.950016-5 4.247818+3 1.951552-5 4.561393+3 1.954454-5 5.250438+3 1.957903-5 6.248936+3 1.964631-5 8.802432+3 1.966805-5 9.799849+3 1.969966-5 1.138845+4 1.971320-5 1.211495+4 1.976136-5 1.487409+4 1.977688-5 1.580551+4 1.981007-5 1.782645+4 1.982847-5 1.894407+4 1.985041-5 2.025488+4 1.986848-5 2.130173+4 1.989317-5 2.266060+4 1.991486-5 2.376592+4 1.993575-5 2.473156+4 1.995399-5 2.548370+4 1.998221-5 2.645498+4 2.000425-5 2.703454+4 2.002743-5 2.746178+4 2.005156-5 2.769871+4 2.006684-5 2.773712+4 2.008830-5 2.764500+4 2.011222-5 2.734510+4 2.014663-5 2.656810+4 2.016585-5 2.597041+4 2.017881-5 2.550733+4 2.019780-5 2.474988+4 2.021623-5 2.393367+4 2.023993-5 2.278566+4 2.026100-5 2.169036+4 2.028132-5 2.058446+4 2.031217-5 1.884646+4 2.033625-5 1.746961+4 2.036334-5 1.592942+4 2.038441-5 1.475506+4 2.043257-5 1.220964+4 2.046492-5 1.064593+4 2.048073-5 9.932413+3 2.051685-5 8.433786+3 2.055908-5 6.920318+3 2.065920-5 4.298068+3 2.069506-5 3.641685+3 2.072926-5 3.127220+3 2.076131-5 2.728649+3 2.079136-5 2.416974+3 2.081954-5 2.170562+3 2.084595-5 1.973409+3 2.087071-5 1.813713+3 2.091714-5 1.567308+3 2.095777-5 1.395941+3 2.101358-5 1.209374+3 2.107885-5 1.041630+3 2.111968-5 9.564113+2 2.118091-5 8.492096+2 2.124215-5 7.607614+2 2.129444-5 6.965587+2 2.134672-5 6.406180+2 2.142436-5 5.696586+2 2.150358-5 5.089466+2 2.156503-5 4.682555+2 2.166043-5 4.138269+2 2.176500-5 3.637399+2 2.187762-5 3.182841+2 2.213099-5 2.376717+2 2.237358-5 1.765909+2 2.253905-5 1.416487+2 2.259830-5 1.312501+2 2.265365-5 1.229539+2 2.270900-5 1.162358+2 2.273667-5 1.135056+2 2.277819-5 1.101982+2 2.281970-5 1.077914+2 2.284737-5 1.066392+2 2.287505-5 1.058003+2 2.293040-5 1.048491+2 2.307360-5 1.038363+2 2.313210-5 1.028237+2 2.318736-5 1.012804+2 2.331917-5 9.647935+1 2.338388-5 9.470916+1 2.343895-5 9.407061+1 2.348748-5 9.429036+1 2.354066-5 9.531192+1 2.360992-5 9.746888+1 2.366691-5 9.941913+1 2.373498-5 1.012342+2 2.375214-5 1.015259+2 2.379287-5 1.018732+2 2.384252-5 1.015803+2 2.389291-5 1.004774+2 2.392506-5 9.939128+1 2.397510-5 9.722490+1 2.405637-5 9.293771+1 2.420866-5 8.476478+1 2.430979-5 8.032887+1 2.446064-5 7.499343+1 2.457600-5 7.118870+1 2.469191-5 6.717234+1 2.478560-5 6.376063+1 2.491311-5 5.902789+1 2.508493-5 5.280548+1 2.523154-5 4.776531+1 2.533945-5 4.419674+1 2.540230-5 4.216272+1 2.547915-5 3.971713+1 2.556584-5 3.702182+1 2.574429-5 3.184090+1 2.582195-5 2.988839+1 2.588009-5 2.864200+1 2.592940-5 2.778556+1 2.597669-5 2.718694+1 2.602923-5 2.683981+1 2.606814-5 2.684160+1 2.610586-5 2.708845+1 2.614336-5 2.760482+1 2.617424-5 2.825620+1 2.620867-5 2.924779+1 2.624334-5 3.055735+1 2.629038-5 3.288982+1 2.632876-5 3.532401+1 2.635153-5 3.701805+1 2.638069-5 3.948528+1 2.640893-5 4.222377+1 2.645709-5 4.778820+1 2.648847-5 5.210637+1 2.653871-5 6.038077+1 2.658340-5 6.943833+1 2.662721-5 8.026009+1 2.666829-5 9.258881+1 2.671515-5 1.099410+2 2.674290-5 1.222643+2 2.677674-5 1.398433+2 2.680847-5 1.593724+2 2.683822-5 1.809061+2 2.686611-5 2.044611+2 2.689225-5 2.300130+2 2.691676-5 2.574960+2 2.694880-5 2.994049+2 2.700042-5 3.841678+2 2.706698-5 5.337826+2 2.717290-5 9.017951+2 2.722174-5 1.141626+3 2.727092-5 1.437315+3 2.730889-5 1.706481+3 2.735159-5 2.054312+3 2.738516-5 2.362361+3 2.741874-5 2.700687+3 2.749010-5 3.514541+3 2.749797-5 3.611502+3 2.755725-5 4.379163+3 2.757890-5 4.672441+3 2.762021-5 5.243551+3 2.765432-5 5.718469+3 2.768737-5 6.173761+3 2.772147-5 6.629995+3 2.775453-5 7.050819+3 2.778391-5 7.400626+3 2.781106-5 7.698610+3 2.782588-5 7.849504+3 2.786523-5 8.204278+3 2.789784-5 8.442101+3 2.793227-5 8.632361+3 2.796545-5 8.752709+3 2.798765-5 8.797574+3 2.802094-5 8.810584+3 2.804362-5 8.782372+3 2.809354-5 8.617787+3 2.812172-5 8.466045+3 2.815812-5 8.213042+3 2.819339-5 7.913303+3 2.822722-5 7.583120+3 2.825546-5 7.280915+3 2.829179-5 6.865012+3 2.832536-5 6.461134+3 2.835894-5 6.046510+3 2.839672-5 5.576158+3 2.842610-5 5.213202+3 2.850165-5 4.318824+3 2.856041-5 3.685645+3 2.862757-5 3.048585+3 2.874314-5 2.185703+3 2.877749-5 1.983795+3 2.881185-5 1.804573+3 2.884621-5 1.646296+3 2.888057-5 1.507102+3 2.891493-5 1.385087+3 2.897160-5 1.216397+3 2.901801-5 1.103707+3 2.908673-5 9.701085+2 2.915544-5 8.669017+2 2.922416-5 7.858342+2 2.930147-5 7.135831+2 2.939140-5 6.472187+2 2.947852-5 5.955585+2 2.956292-5 5.539665+2 2.968428-5 5.046562+2 2.981349-5 4.619726+2 2.997054-5 4.197058+2 3.013830-5 3.827823+2 3.032371-5 3.488117+2 3.059772-5 3.070113+2 3.084040-5 2.753545+2 3.099222-5 2.578902+2 3.114404-5 2.427205+2 3.121995-5 2.361663+2 3.134324-5 2.271338+2 3.145668-5 2.206153+2 3.153165-5 2.172263+2 3.162602-5 2.139671+2 3.176221-5 2.112056+2 3.184058-5 2.106418+2 3.194097-5 2.109401+2 3.209251-5 2.130443+2 3.229807-5 2.166109+2 3.243756-5 2.176800+2 3.253644-5 2.173944+2 3.269521-5 2.154303+2 3.305816-5 2.091009+2 3.333584-5 2.058968+2 3.386097-5 2.015961+2 3.508060-5 1.888426+2 3.902420-5 1.581307+2 4.094944-5 1.452050+2 4.241310-5 1.357162+2 4.400058-5 1.254251+2 4.573341-5 1.136105+2 4.632515-5 1.089491+2 4.680066-5 1.051615+2 4.705967-5 1.036658+2 4.726144-5 1.030696+2 4.748910-5 1.030634+2 4.795260-5 1.040626+2 4.806779-5 1.041338+2 4.821172-5 1.039507+2 4.839295-5 1.032379+2 4.864872-5 1.014552+2 4.912641-5 9.735667+1 4.951517-5 9.463517+1 5.076279-5 8.762476+1 5.155520-5 8.297728+1 5.285785-5 7.513631+1 5.437738-5 6.598020+1 5.593481-5 5.664133+1 5.751806-5 4.725940+1 5.861268-5 4.090029+1 5.985272-5 3.386584+1 6.103403-5 2.750040+1 6.190436-5 2.481943+1 6.291901-5 2.747193+1 6.395327-5 3.286323+1 6.473788-5 3.773678+1 6.574876-5 4.512939+1 6.655490-5 5.206735+1 6.731704-5 5.963839+1 6.804612-5 6.795662+1 6.859108-5 7.500062+1 6.930766-5 8.549418+1 7.012588-5 9.938841+1 7.079458-5 1.125707+2 7.152124-5 1.291422+2 7.224351-5 1.483716+2 7.297821-5 1.712946+2 7.372800-5 1.988787+2 7.430385-5 2.235922+2 7.500000-5 2.584827+2 7.565582-5 2.974143+2 7.612395-5 3.295762+2 7.654126-5 3.618820+2 7.714785-5 4.160561+2 7.762471-5 4.658382+2 7.811553-5 5.251989+2 7.857610-5 5.899857+2 7.900789-5 6.603408+2 7.951888-5 7.581781+2 7.991533-5 8.473738+2 8.024875-5 9.334033+2 8.048152-5 1.000522+3 8.079422-5 1.101397+3 8.108737-5 1.208986+3 8.136221-5 1.323363+3 8.168574-5 1.478009+3 8.198794-5 1.646114+3 8.230017-5 1.849514+3 8.253300-5 2.025349+3 8.268580-5 2.154145+3 8.286073-5 2.316784+3 8.302473-5 2.486199+3 8.320129-5 2.690004+3 8.346676-5 3.047368+3 8.371900-5 3.459598+3 8.393971-5 3.897861+3 8.413284-5 4.360541+3 8.430182-5 4.845077+3 8.444968-5 5.347619+3 8.457906-5 5.862977+3 8.469226-5 6.384882+3 8.479132-5 6.906484+3 8.496582-5 8.005764+3 8.509467-5 8.998425+3 8.519218-5 9.873528+3 8.533844-5 1.142370+4 8.548470-5 1.331085+4 8.558991-5 1.491178+4 8.580032-5 1.883128+4 8.615625-5 2.807937+4 8.632634-5 3.382187+4 8.645545-5 3.877510+4 8.657868-5 4.396704+4 8.670192-5 4.957818+4 8.691428-5 6.005987+4 8.694082-5 6.142588+4 8.712664-5 7.117787+4 8.719964-5 7.503940+4 8.733900-5 8.231101+4 8.742169-5 8.648915+4 8.751017-5 9.077963+4 8.760953-5 9.530235+4 8.769251-5 9.878179+4 8.779921-5 1.027764+5 8.789126-5 1.057241+5 8.800130-5 1.085641+5 8.814606-5 1.110502+5 8.825409-5 1.119151+5 8.838521-5 1.117875+5 8.848390-5 1.108391+5 8.858077-5 1.092141+5 8.867211-5 1.070796+5 8.871410-5 1.059120+5 8.886081-5 1.009861+5 8.895021-5 9.740576+4 8.901226-5 9.469878+4 8.911781-5 8.973828+4 8.919862-5 8.569125+4 8.928936-5 8.095213+4 8.936516-5 7.688136+4 8.946260-5 7.155998+4 8.956878-5 6.573061+4 8.967496-5 5.995536+4 8.979441-5 5.362105+4 8.988732-5 4.887264+4 9.009968-5 3.880505+4 9.017268-5 3.563840+4 9.024236-5 3.276854+4 9.036513-5 2.808701+4 9.048459-5 2.399703+4 9.060007-5 2.047449+4 9.072105-5 1.722381+4 9.085825-5 1.405203+4 9.099545-5 1.138595+4 9.116351-5 8.740892+3 9.137960-5 6.217160+3 9.148936-5 5.266709+3 9.186990-5 3.452165+3 9.195463-5 3.336531+3 9.198442-5 3.320077+3 9.205273-5 3.330022+3 9.211488-5 3.397168+3 9.214239-5 3.444766+3 9.217835-5 3.523695+3 9.221108-5 3.612140+3 9.225766-5 3.765710+3 9.230302-5 3.946923+3 9.235978-5 4.218660+3 9.241475-5 4.530536+3 9.248375-5 4.991526+3 9.256921-5 5.673096+3 9.298533-5 1.086680+4 9.300207-5 1.114366+4 9.322986-5 1.543303+4 9.327079-5 1.630405+4 9.347189-5 2.098693+4 9.354530-5 2.284585+4 9.369959-5 2.695810+4 9.380085-5 2.976851+4 9.387988-5 3.199754+4 9.394039-5 3.371317+4 9.402686-5 3.616031+4 9.411719-5 3.868535+4 9.423184-5 4.179651+4 9.433537-5 4.446747+4 9.443146-5 4.678772+4 9.455695-5 4.952808+4 9.466374-5 5.155321+4 9.477082-5 5.326008+4 9.486927-5 5.451678+4 9.492991-5 5.513336+4 9.504558-5 5.596393+4 9.513751-5 5.629466+4 9.520578-5 5.635093+4 9.535403-5 5.592761+4 9.546561-5 5.513691+4 9.553241-5 5.448168+4 9.565142-5 5.300433+4 9.575828-5 5.137329+4 9.585874-5 4.961385+4 9.595561-5 4.774319+4 9.610206-5 4.466373+4 9.620693-5 4.232732+4 9.634372-5 3.918851+4 9.642579-5 3.728674+4 9.664673-5 3.223709+4 9.669276-5 3.121542+4 9.701907-5 2.449269+4 9.728219-5 1.991467+4 9.754757-5 1.614050+4 9.769762-5 1.436769+4 9.784767-5 1.283403+4 9.802057-5 1.133359+4 9.814424-5 1.041564+4 9.832083-5 9.298350+3 9.847255-5 8.493661+3 9.855751-5 8.096652+3 9.874082-5 7.351015+3 9.888007-5 6.870370+3 9.904611-5 6.376040+3 9.928990-5 5.773776+3 9.953368-5 5.284123+3 9.980249-5 4.841687+3 1.000481-4 4.505668+3 1.002943-4 4.220010+3 1.005474-4 3.968901+3 1.007625-4 3.782952+3 1.010059-4 3.597041+3 1.012426-4 3.436384+3 1.015420-4 3.255406+3 1.022336-4 2.903909+3 1.028051-4 2.663054+3 1.031686-4 2.529197+3 1.034760-4 2.426957+3 1.038287-4 2.321304+3 1.043464-4 2.186593+3 1.049838-4 2.048714+3 1.056542-4 1.930110+3 1.064528-4 1.816185+3 1.073000-4 1.720593+3 1.082500-4 1.636921+3 1.090500-4 1.581080+3 1.098000-4 1.537939+3 1.105000-4 1.503954+3 1.113750-4 1.468116+3 1.122913-4 1.436384+3 1.144014-4 1.376021+3 1.217593-4 1.206482+3 1.236369-4 1.169933+3 1.293461-4 1.076055+3 1.321428-4 1.036783+3 1.360042-4 9.886093+2 1.491432-4 8.563487+2 1.679757-4 7.164310+2 1.731863-4 6.832020+2 1.778045-4 6.536963+2 1.814471-4 6.297210+2 1.852981-4 5.993354+2 1.864745-4 5.931673+2 1.878836-4 5.905676+2 1.913606-4 5.919477+2 1.919697-4 5.914630+2 1.977950-4 5.797910+2 2.033049-4 5.653871+2 2.089785-4 5.490386+2 2.150972-4 5.303557+2 2.216282-4 5.090653+2 2.244295-4 4.980560+2 2.282161-4 4.819114+2 2.294259-4 4.793584+2 2.310500-4 4.798781+2 2.333632-4 4.837123+2 2.349707-4 4.834908+2 2.376520-4 4.777495+2 2.435212-4 4.655593+2 2.581610-4 4.360613+2 2.673269-4 4.152287+2 2.757539-4 3.952315+2 2.850156-4 3.710611+2 2.890239-4 3.602963+2 2.923846-4 3.538676+2 2.949120-4 3.500461+2 2.993462-4 3.416501+2 3.034988-4 3.320145+2 3.148654-4 3.033512+2 3.244788-4 2.761481+2 3.311311-4 2.541706+2 3.351188-4 2.383097+2 3.376372-4 2.287475+2 3.392559-4 2.242474+2 3.404314-4 2.221129+2 3.425813-4 2.201170+2 3.444612-4 2.187161+2 3.463082-4 2.161716+2 3.506973-4 2.078137+2 3.536243-4 2.036696+2 3.545382-4 2.021115+2 3.558463-4 1.992302+2 3.570801-4 1.957104+2 3.586097-4 1.904158+2 3.611109-4 1.805901+2 3.668253-4 1.582718+2 3.693750-4 1.487164+2 3.714375-4 1.410621+2 3.754000-4 1.267122+2 3.805171-4 1.101032+2 3.824375-4 1.047803+2 3.836412-4 1.017651+2 3.854857-4 9.768404+1 3.869987-4 9.486944+1 3.892472-4 9.165361+1 3.914990-4 8.966953+1 3.942092-4 8.899120+1 3.974987-4 9.070167+1 4.000502-4 9.393589+1 4.033344-4 1.004922+2 4.061884-4 1.082947+2 4.072479-4 1.116751+2 4.108736-4 1.251608+2 4.128981-4 1.339563+2 4.182500-4 1.613957+2 4.242836-4 1.986524+2 4.290346-4 2.318752+2 4.335000-4 2.654992+2 4.350000-4 2.772078+2 4.392852-4 3.115890+2 4.430000-4 3.423029+2 4.470000-4 3.761440+2 4.500000-4 4.019763+2 4.555000-4 4.500560+2 4.609977-4 4.986351+2 4.667852-4 5.498234+2 4.745151-4 6.172363+2 4.817611-4 6.785123+2 4.902671-4 7.474406+2 5.011872-4 8.315422+2 5.132585-4 9.190226+2 5.242880-4 9.940387+2 5.375485-4 1.077081+3 5.500000-4 1.147498+3 5.623600-4 1.210722+3 5.799288-4 1.289151+3 5.965503-4 1.349719+3 6.109585-4 1.389813+3 6.204930-4 1.408327+3 6.287972-4 1.416089+3 6.354469-4 1.414149+3 6.401506-4 1.405978+3 6.468670-4 1.385259+3 6.493540-4 1.382394+3 6.508863-4 1.386192+3 6.517822-4 1.391448+3 6.550867-4 1.438763+3 6.565515-4 1.477364+3 6.582433-4 1.536955+3 6.600881-4 1.619014+3 6.642032-4 1.838354+3 6.661737-4 1.938493+3 6.668871-4 1.970514+3 6.683439-4 2.025984+3 6.700000-4 2.069801+3 6.716136-4 2.091002+3 6.724185-4 2.093764+3 6.734646-4 2.090179+3 6.751999-4 2.068901+3 6.770760-4 2.030210+3 6.808110-4 1.934536+3 6.839116-4 1.864559+3 6.848966-4 1.847172+3 6.885223-4 1.809000+3 6.907832-4 1.807965+3 6.924161-4 1.818949+3 6.939381-4 1.838282+3 6.955835-4 1.868868+3 6.975792-4 1.918163+3 7.039148-4 2.115888+3 7.055704-4 2.161060+3 7.079598-4 2.209695+3 7.098999-4 2.232085+3 7.113617-4 2.238853+3 7.129729-4 2.237495+3 7.157573-4 2.219351+3 7.226057-4 2.154958+3 7.245688-4 2.142908+3 7.297697-4 2.130170+3 7.438138-4 2.155139+3 7.846449-4 2.262975+3 8.149667-4 2.335319+3 8.480195-4 2.396851+3 8.777591-4 2.434501+3 9.066858-4 2.453456+3 9.326329-4 2.445601+3 9.378460-4 2.450497+3 9.429859-4 2.465060+3 9.618891-4 2.555700+3 9.761824-4 2.615440+3 9.896564-4 2.659365+3 1.014814-3 2.714310+3 1.045191-3 2.759750+3 1.085121-3 2.802460+3 1.164101-3 2.854957+3 1.193533-3 2.885553+3 1.230269-3 2.909328+3 1.269821-3 2.920317+3 1.292113-3 2.921606+3 1.307805-3 2.927638+3 1.344245-3 2.958057+3 1.385161-3 2.974598+3 1.445440-3 2.983817+3 1.520110-3 2.984549+3 1.594043-3 2.977873+3 1.680979-3 2.957077+3 1.781092-3 2.923256+3 1.875535-3 2.885516+3 2.001838-3 2.825147+3 2.118331-3 2.761020+3 2.238994-3 2.689050+3 2.364808-3 2.605223+3 2.489593-3 2.511323+3 2.600489-3 2.421214+3 2.706099-3 2.327748+3 2.792644-3 2.241108+3 2.880554-3 2.143970+3 2.954386-3 2.052847+3 3.019432-3 1.962335+3 3.076983-3 1.870830+3 3.123831-3 1.784352+3 3.162663-3 1.699731+3 3.197107-3 1.609859+3 3.222928-3 1.531807+3 3.249293-3 1.448898+3 3.265558-3 1.406703+3 3.273625-3 1.391948+3 3.281692-3 1.382743+3 3.289710-3 1.379682+3 3.296078-3 1.381562+3 3.302274-3 1.386714+3 3.313765-3 1.402883+3 3.337820-3 1.444974+3 3.356346-3 1.469056+3 3.386161-3 1.501490+3 3.394061-3 1.513582+3 3.409247-3 1.544564+3 3.420175-3 1.574074+3 3.434789-3 1.623866+3 3.451818-3 1.696414+3 3.475979-3 1.814787+3 3.485487-3 1.860071+3 3.493687-3 1.896098+3 3.502100-3 1.929286+3 3.510513-3 1.958461+3 3.530903-3 2.016093+3 3.576665-3 2.134415+3 3.608363-3 2.221148+3 3.631320-3 2.276011+3 3.658974-3 2.330023+3 3.690058-3 2.377761+3 3.723704-3 2.417999+3 3.763407-3 2.453681+3 3.802745-3 2.478271+3 3.845918-3 2.493929+3 3.884983-3 2.497068+3 3.921191-3 2.489051+3 3.982702-3 2.463206+3 3.998316-3 2.463563+3 4.015300-3 2.472402+3 4.027774-3 2.485370+3 4.052567-3 2.526128+3 4.106587-3 2.641621+3 4.127256-3 2.679339+3 4.150000-3 2.712913+3 4.182863-3 2.749202+3 4.221718-3 2.779973+3 4.264708-3 2.804831+3 4.321768-3 2.828329+3 4.376623-3 2.843222+3 4.450693-3 2.853903+3 4.514425-3 2.855933+3 4.584469-3 2.851643+3 4.647910-3 2.841342+3 4.737228-3 2.812619+3 4.800097-3 2.793766+3 4.840986-3 2.796225+3 4.952389-3 2.831403+3 4.991990-3 2.834576+3 5.141140-3 2.818617+3 5.227737-3 2.838127+3 5.301995-3 2.854003+3 5.432503-3 2.855869+3 5.613039-3 2.839722+3 5.831251-3 2.807908+3 6.104147-3 2.756115+3 6.440302-3 2.684199+3 6.942933-3 2.567511+3 7.413102-3 2.454848+3 7.920452-3 2.333195+3 8.536681-3 2.192133+3 9.203089-3 2.047897+3 1.001440-2 1.883568+3 1.087785-2 1.724775+3 1.139921-2 1.635735+3 1.191928-2 1.551165+3 1.244165-2 1.470347+3 1.293823-2 1.396733+3 1.339249-2 1.331711+3 1.379996-2 1.274398+3 1.417750-2 1.221967+3 1.450804-2 1.175610+3 1.478809-2 1.135731+3 1.502686-2 1.100752+3 1.522641-2 1.070159+3 1.540122-2 1.041628+3 1.554992-2 1.015374+3 1.567628-2 9.906879+2 1.577775-2 9.682350+2 1.585822-2 9.479558+2 1.598101-2 9.120625+2 1.613180-2 8.659726+2 1.619161-2 8.518260+2 1.624576-2 8.433895+2 1.630109-2 8.400396+2 1.635329-2 8.419490+2 1.640236-2 8.477747+2 1.649365-2 8.658133+2 1.661047-2 8.929397+2 1.671684-2 9.133558+2 1.678744-2 9.232439+2 1.685288-2 9.300136+2 1.694582-2 9.365078+2 1.705811-2 9.409106+2 1.718277-2 9.428852+2 1.731969-2 9.426453+2 1.749183-2 9.398248+2 1.783122-2 9.286537+2 1.805695-2 9.182638+2 1.825200-2 9.077810+2 1.849520-2 8.929208+2 1.870334-2 8.784991+2 1.886472-2 8.659037+2 1.903604-2 8.506754+2 1.917173-2 8.366209+2 1.936056-2 8.130372+2 1.959322-2 7.821068+2 1.969605-2 7.728034+2 1.979374-2 7.687532+2 1.989183-2 7.691801+2 2.024070-2 7.808791+2 2.046295-2 7.863032+2 2.092282-2 8.081154+2 2.113489-2 8.129877+2 2.145432-2 8.132873+2 2.187022-2 8.079864+2 2.261808-2 7.915869+2 2.348727-2 7.674970+2 2.462152-2 7.328876+2 2.581517-2 6.960118+2 2.778114-2 6.379842+2 3.012616-2 5.756423+2 3.349654-2 4.993919+2 3.651433-2 4.425398+2 3.907812-2 4.008862+2 4.243204-2 3.537795+2 4.765467-2 2.948262+2 5.177417-2 2.578732+2 5.626916-2 2.243276+2 6.379447-2 1.803743+2 7.463950-2 1.363887+2 8.368619-2 1.106061+2 9.062409-2 9.503283+1 9.600680-2 8.463034+1 9.998689-2 7.753530+1 1.029594-1 7.232226+1 1.049570-1 6.866170+1 1.057739-1 6.704411+1 1.064413-1 6.561219+1 1.069908-1 6.431725+1 1.079082-1 6.186682+1 1.090200-1 5.882223+1 1.094584-1 5.792135+1 1.099069-1 5.735266+1 1.104058-1 5.719679+1 1.108520-1 5.743806+1 1.117292-1 5.848941+1 1.126534-1 5.957029+1 1.134038-1 6.008151+1 1.144509-1 6.030946+1 1.159386-1 6.010354+1 1.177941-1 5.944221+1 1.199629-1 5.838879+1 1.232328-1 5.657697+1 1.289188-1 5.322268+1 1.355727-1 4.934863+1 1.448325-1 4.439679+1 1.612229-1 3.707454+1 1.818676-1 3.004452+1 2.147972-1 2.229736+1 2.600160-1 1.571026+1 3.205993-1 1.062529+1 4.134883-1 6.553010+0 5.639622-1 3.604100+0 8.511380-1 1.617209+0 1.286622+0 7.187462-1 2.039158+0 2.889038-1 4.260405+0 6.657762-2 1.286622+1 7.310436-3 3.885536+1 8.016193-4 1.173413+2 8.789631-5 3.543651+2 9.637643-6 1.258925+3 7.636118-7 3.981072+3 7.636118-8 1.258925+4 7.636118-9 3.981072+4 7.63612-10 1.000000+5 1.21024-10 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.906400-6 1.258900-6 4.606400-6 1.584900-6 7.300600-6 1.995300-6 1.157100-5 2.511900-6 1.833800-5 3.162300-6 2.906400-5 3.981100-6 4.606300-5 5.011900-6 7.300500-5 6.309600-6 1.157000-4 7.943300-6 1.833800-4 1.000000-5 2.906300-4 1.258900-5 4.606100-4 1.584900-5 7.296400-4 1.995300-5 1.155600-3 2.511900-5 1.830600-3 3.162300-5 2.900000-3 3.981100-5 4.594800-3 5.011900-5 7.280600-3 6.309600-5 1.153700-2 7.943300-5 1.825300-2 1.000000-4 2.887000-2 1.258900-4 4.564300-2 1.584900-4 7.194600-2 1.995300-4 1.132000-1 2.511900-4 1.773100-1 3.162300-4 2.758600-1 3.981100-4 4.245100-1 5.011900-4 6.403800-1 6.309600-4 9.423900-1 7.943300-4 1.344300+0 1.000000-3 1.853700+0 1.258900-3 2.477200+0 1.584900-3 3.238500+0 1.995300-3 4.179100+0 2.511900-3 5.339600+0 3.162300-3 6.740100+0 3.981100-3 8.413000+0 5.011900-3 1.032800+1 6.309600-3 1.244000+1 7.943300-3 1.477500+1 1.000000-2 1.740000+1 1.258900-2 2.025500+1 1.584900-2 2.316600+1 1.995300-2 2.601200+1 2.511900-2 2.878300+1 3.162300-2 3.142300+1 3.981100-2 3.375900+1 5.011900-2 3.559700+1 6.309600-2 3.680000+1 7.943300-2 3.736400+1 1.000000-1 3.730600+1 1.258900-1 3.665000+1 1.584900-1 3.545900+1 1.995300-1 3.384800+1 2.511900-1 3.193600+1 3.162300-1 2.983000+1 3.981100-1 2.761200+1 5.011900-1 2.536000+1 6.309600-1 2.311700+1 7.943300-1 2.092700+1 1.000000+0 1.881500+1 1.258900+0 1.680200+1 1.584900+0 1.490400+1 1.995300+0 1.313300+1 2.511900+0 1.149600+1 3.162300+0 9.999800+0 3.981100+0 8.646100+0 5.011900+0 7.433500+0 6.309600+0 6.356700+0 7.943300+0 5.410400+0 1.000000+1 4.584200+0 1.258900+1 3.868400+0 1.584900+1 3.252400+0 1.995300+1 2.725400+0 2.511900+1 2.276900+0 3.162300+1 1.897100+0 3.981100+1 1.576800+0 5.011900+1 1.307600+0 6.309600+1 1.082300+0 7.943300+1 8.941000-1 1.000000+2 7.374200-1 1.258900+2 6.072800-1 1.584900+2 4.994200-1 1.995300+2 4.101900-1 2.511900+2 3.365100-1 3.162300+2 2.757600-1 3.981100+2 2.257600-1 5.011900+2 1.846400-1 6.309600+2 1.508900-1 7.943300+2 1.232000-1 1.000000+3 1.005200-1 1.258900+3 8.195000-2 1.584900+3 6.676700-2 1.995300+3 5.436200-2 2.511900+3 4.423600-2 3.162300+3 3.597400-2 3.981100+3 2.924000-2 5.011900+3 2.375400-2 6.309600+3 1.928700-2 7.943300+3 1.565300-2 1.000000+4 1.269800-2 1.258900+4 1.029600-2 1.584900+4 8.345000-3 1.995300+4 6.761000-3 2.511900+4 5.475600-3 3.162300+4 4.432900-3 3.981100+4 3.587500-3 5.011900+4 2.902300-3 6.309600+4 2.347200-3 7.943300+4 1.897600-3 1.000000+5 1.533700-3 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159557-4 3.981072-4 3.976778-4 5.011872-4 5.005115-4 6.309573-4 6.298969-4 7.943282-4 7.926698-4 1.000000-3 9.974102-4 1.258925-3 1.254896-3 1.584893-3 1.578595-3 1.995262-3 1.985392-3 2.511886-3 2.496420-3 3.162278-3 3.137956-3 3.981072-3 3.942922-3 5.011872-3 4.952201-3 6.309573-3 6.216728-3 7.943282-3 7.798554-3 1.000000-2 9.774123-3 1.258925-2 1.223748-2 1.584893-2 1.530389-2 1.995262-2 1.911230-2 2.511886-2 2.382662-2 3.162278-2 2.964267-2 3.981072-2 3.679320-2 5.011872-2 4.555784-2 6.309573-2 5.626653-2 7.943282-2 6.928072-2 1.000000-1 8.504573-2 1.258925-1 1.040655-1 1.584893-1 1.269394-1 1.995262-1 1.543333-1 2.511886-1 1.870492-1 3.162278-1 2.259662-1 3.981072-1 2.720999-1 5.011872-1 3.266497-1 6.309573-1 3.910487-1 7.943282-1 4.669207-1 1.000000+0 5.562803-1 1.258925+0 6.616565-1 1.584893+0 7.859242-1 1.995262+0 9.331152-1 2.511886+0 1.107614+0 3.162278+0 1.315325+0 3.981072+0 1.563306+0 5.011872+0 1.860210+0 6.309573+0 2.216413+0 7.943282+0 2.644950+0 1.000000+1 3.161579+0 1.258925+1 3.785672+0 1.584893+1 4.540862+0 1.995262+1 5.456120+0 2.511886+1 6.566965+0 3.162278+1 7.916961+0 3.981072+1 9.559444+0 5.011872+1 1.156016+1 6.309573+1 1.399996+1 7.943282+1 1.697761+1 1.000000+2 2.061502+1 1.258925+2 2.506225+1 1.584893+2 3.050358+1 1.995262+2 3.716730+1 2.511886+2 4.533249+1 3.162278+2 5.534507+1 3.981072+2 6.762957+1 5.011872+2 8.271299+1 6.309573+2 1.012425+2 7.943282+2 1.240186+2 1.000000+3 1.520282+2 1.258925+3 1.864936+2 1.584893+3 2.289211+2 1.995262+3 2.811688+2 2.511886+3 3.455641+2 3.162278+3 4.249301+2 3.981072+3 5.228206+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88194-10 1.995262-5 1.090620-9 2.511886-5 1.728488-9 3.162278-5 2.739503-9 3.981072-5 4.341872-9 5.011872-5 6.881391-9 6.309573-5 1.090597-8 7.943282-5 1.727720-8 1.000000-4 2.737500-8 1.258925-4 4.337306-8 1.584893-4 6.867863-8 1.995262-4 1.087447-7 2.511886-4 1.720779-7 3.162278-4 2.720382-7 3.981072-4 4.293683-7 5.011872-4 6.756913-7 6.309573-4 1.060403-6 7.943282-4 1.658430-6 1.000000-3 2.589834-6 1.258925-3 4.029505-6 1.584893-3 6.298483-6 1.995262-3 9.870743-6 2.511886-3 1.546635-5 3.162278-3 2.432199-5 3.981072-3 3.814922-5 5.011872-3 5.967115-5 6.309573-3 9.284564-5 7.943282-3 1.447285-4 1.000000-2 2.258766-4 1.258925-2 3.517723-4 1.584893-2 5.450457-4 1.995262-2 8.403234-4 2.511886-2 1.292241-3 3.162278-2 1.980108-3 3.981072-2 3.017519-3 5.011872-2 4.560882-3 6.309573-2 6.829209-3 7.943282-2 1.015210-2 1.000000-1 1.495427-2 1.258925-1 2.182708-2 1.584893-1 3.154992-2 1.995262-1 4.519293-2 2.511886-1 6.413948-2 3.162278-1 9.026155-2 3.981072-1 1.260072-1 5.011872-1 1.745375-1 6.309573-1 2.399087-1 7.943282-1 3.274075-1 1.000000+0 4.437197-1 1.258925+0 5.972689-1 1.584893+0 7.989690-1 1.995262+0 1.062147+0 2.511886+0 1.404273+0 3.162278+0 1.846952+0 3.981072+0 2.417766+0 5.011872+0 3.151662+0 6.309573+0 4.093160+0 7.943282+0 5.298333+0 1.000000+1 6.838421+0 1.258925+1 8.803582+0 1.584893+1 1.130807+1 1.995262+1 1.449650+1 2.511886+1 1.855190+1 3.162278+1 2.370582+1 3.981072+1 3.025127+1 5.011872+1 3.855856+1 6.309573+1 4.909578+1 7.943282+1 6.245522+1 1.000000+2 7.938498+1 1.258925+2 1.008303+2 1.584893+2 1.279857+2 1.995262+2 1.623589+2 2.511886+2 2.058562+2 3.162278+2 2.608827+2 3.981072+2 3.304776+2 5.011872+2 4.184742+2 6.309573+2 5.297148+2 7.943282+2 6.703096+2 1.000000+3 8.479718+2 1.258925+3 1.072432+3 1.584893+3 1.355972+3 1.995262+3 1.714093+3 2.511886+3 2.166322+3 3.162278+3 2.737348+3 3.981072+3 3.458251+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.980000-6 1.017887+7 4.987000-6 1.022034+7 5.200000-6 1.077569+7 5.420000-6 1.127172+7 5.620000-6 1.166233+7 5.620000-6 1.680794+7 5.623413-6 1.682145+7 5.710000-6 1.714349+7 5.850000-6 1.761666+7 5.900000-6 1.777236+7 5.970000-6 1.797897+7 5.970000-6 2.720029+7 6.100000-6 2.693353+7 6.165950-6 2.680921+7 6.237348-6 2.667006+7 6.350000-6 2.647146+7 6.500000-6 2.623712+7 6.606934-6 2.607805+7 6.760830-6 2.587098+7 6.850000-6 2.577633+7 7.200000-6 2.540360+7 7.244360-6 2.536297+7 7.500000-6 2.511800+7 7.673615-6 2.496832+7 7.852356-6 2.480488+7 8.128305-6 2.456864+7 8.222426-6 2.448123+7 8.511380-6 2.421342+7 8.609938-6 2.413431+7 9.015711-6 2.372736+7 9.120108-6 2.362247+7 9.440609-6 2.326421+7 9.660509-6 2.301281+7 9.930000-6 2.267601+7 1.020000-5 2.233063+7 1.023293-5 2.228424+7 1.035142-5 2.212106+7 1.071519-5 2.160723+7 1.083927-5 2.142154+7 1.122018-5 2.083745+7 1.135011-5 2.062899+7 1.180000-5 1.990263+7 1.202264-5 1.951604+7 1.230269-5 1.905345+7 1.273503-5 1.829897+7 1.290000-5 1.801291+7 1.330000-5 1.730933+7 1.350000-5 1.696082+7 1.364583-5 1.670001+7 1.380384-5 1.642563+7 1.420000-5 1.574441+7 1.445440-5 1.530864+7 1.496236-5 1.446543+7 1.513561-5 1.418286+7 1.570000-5 1.329220+7 1.590000-5 1.298568+7 1.659587-5 1.196714+7 1.678804-5 1.169791+7 1.757924-5 1.065267+7 1.770000-5 1.050087+7 1.800000-5 1.012828+7 1.883649-5 9.187282+6 1.950000-5 8.498596+6 2.018366-5 7.865077+6 2.089296-5 7.254001+6 2.187762-5 6.513213+6 2.213095-5 6.337578+6 2.230000-5 6.222196+6 2.371374-5 5.364788+6 2.426610-5 5.075238+6 2.454709-5 4.934832+6 2.501000-5 4.712044+6 2.501000-5 1.657728+7 2.511886-5 1.640373+7 2.580000-5 1.537424+7 2.660725-5 1.420963+7 2.754229-5 1.295828+7 2.800000-5 1.239916+7 2.818383-5 1.217610+7 2.985383-5 1.037989+7 3.126079-5 9.106373+6 3.162278-5 8.811318+6 3.198895-5 8.525944+6 3.350000-5 7.449447+6 3.352000-5 7.436465+6 3.352000-5 1.289945+7 3.410000-5 1.244092+7 3.427678-5 1.229528+7 3.480000-5 1.187090+7 3.550000-5 1.130855+7 3.570000-5 1.114895+7 3.650000-5 1.054214+7 3.715352-5 1.006186+7 3.780000-5 9.610448+6 3.801894-5 9.459242+6 3.935501-5 8.604380+6 4.000000-5 8.218550+6 4.073803-5 7.803238+6 4.265795-5 6.824814+6 4.315191-5 6.594502+6 4.415704-5 6.154775+6 4.472100-5 5.925159+6 4.650000-5 5.258392+6 4.677351-5 5.164365+6 4.731513-5 4.986036+6 4.841724-5 4.641509+6 5.055000-5 4.059417+6 5.055000-5 4.340363+6 5.069907-5 4.300014+6 5.120000-5 4.168561+6 5.128614-5 4.146320+6 5.248075-5 3.851751+6 5.400000-5 3.517237+6 5.432503-5 3.451038+6 5.500000-5 3.318759+6 5.559043-5 3.209177+6 5.688529-5 2.986100+6 5.850000-5 2.736909+6 5.900000-5 2.665707+6 6.000000-5 2.531903+6 6.025596-5 2.499251+6 6.165950-5 2.330917+6 6.309573-5 2.174703+6 6.350000-5 2.133731+6 6.531306-5 1.962959+6 6.683439-5 1.834114+6 6.730000-5 1.797319+6 6.760830-5 1.773596+6 6.918310-5 1.659679+6 7.079458-5 1.553565+6 7.161434-5 1.503733+6 7.328245-5 1.409234+6 7.413102-5 1.364209+6 7.500000-5 1.320284+6 7.762471-5 1.200266+6 7.800000-5 1.184436+6 7.852356-5 1.162911+6 8.000000-5 1.104967+6 8.035261-5 1.091921+6 8.128305-5 1.058530+6 8.222426-5 1.026135+6 8.511380-5 9.353183+5 8.709636-5 8.801824+5 9.120108-5 7.801006+5 9.225714-5 7.573332+5 9.500000-5 7.027706+5 9.711000-5 6.645638+5 9.711000-5 2.147513+6 9.740000-5 2.261799+6 9.795000-5 2.479987+6 9.800000-5 2.499986+6 9.850000-5 2.713070+6 9.885531-5 2.867089+6 9.900000-5 2.933132+6 9.940000-5 3.112618+6 9.980000-5 3.291952+6 1.002000-4 3.469123+6 1.007000-4 3.684610+6 1.012000-4 3.889699+6 1.016500-4 4.062504+6 1.020000-4 4.187441+6 1.025000-4 4.349739+6 1.030000-4 4.491218+6 1.035142-4 4.613681+6 1.040200-4 4.711008+6 1.042300-4 4.742056+6 1.042300-4 5.646993+6 1.045000-4 5.750639+6 1.047129-4 5.826319+6 1.050000-4 5.928576+6 1.053000-4 6.028360+6 1.055000-4 6.095467+6 1.059254-4 6.230450+6 1.060000-4 6.254069+6 1.063000-4 6.342463+6 1.065000-4 6.400430+6 1.068000-4 6.481356+6 1.071519-4 6.574875+6 1.072000-4 6.588171+6 1.076000-4 6.680240+6 1.080000-4 6.769971+6 1.084000-4 6.842878+6 1.088000-4 6.910735+6 1.090000-4 6.940275+6 1.093000-4 6.978881+6 1.097000-4 7.021244+6 1.100000-4 7.046563+6 1.101000-4 7.053268+6 1.105000-4 7.070914+6 1.109175-4 7.079193+6 1.110000-4 7.081118+6 1.115000-4 7.076393+6 1.116000-4 7.074171+6 1.122018-4 7.040876+6 1.127000-4 7.000789+6 1.133000-4 6.938487+6 1.135011-4 6.912541+6 1.140000-4 6.844795+6 1.148154-4 6.715931+6 1.155000-4 6.596939+6 1.163000-4 6.449158+6 1.175000-4 6.217613+6 1.190000-4 5.923878+6 1.202264-4 5.686346+6 1.210000-4 5.542882+6 1.216186-4 5.428392+6 1.220000-4 5.359297+6 1.273503-4 4.488489+6 1.275500-4 4.459590+6 1.288250-4 4.276447+6 1.303167-4 4.071839+6 1.318257-4 3.877304+6 1.340000-4 3.611225+6 1.350000-4 3.494305+6 1.364583-4 3.332287+6 1.370000-4 3.273332+6 1.376300-4 3.206417+6 1.380384-4 3.163962+6 1.415000-4 2.825458+6 1.428894-4 2.700428+6 1.430000-4 2.690778+6 1.462177-4 2.426436+6 1.480000-4 2.292234+6 1.496236-4 2.178054+6 1.500000-4 2.152631+6 1.513561-4 2.064174+6 1.531087-4 1.956568+6 1.548817-4 1.854892+6 1.566751-4 1.758780+6 1.584893-4 1.669007+6 1.590000-4 1.644805+6 1.640590-4 1.427805+6 1.659587-4 1.355987+6 1.678804-4 1.289554+6 1.698244-4 1.226602+6 1.740000-4 1.104447+6 1.757924-4 1.057578+6 1.800000-4 9.574977+5 1.819701-4 9.160191+5 1.840772-4 8.742997+5 1.862087-4 8.346345+5 1.883649-4 7.976747+5 1.890300-4 7.867263+5 1.894100-4 7.805645+5 1.894100-4 1.159883+6 1.905461-4 1.138672+6 1.949845-4 1.063439+6 1.950000-4 1.063191+6 1.990000-4 1.003244+6 2.000000-4 9.893276+5 2.041738-4 9.356769+5 2.060000-4 9.141631+5 2.065380-4 9.080909+5 2.089296-4 8.818909+5 2.113489-4 8.565098+5 2.120000-4 8.498889+5 2.137962-4 8.323776+5 2.150000-4 8.213100+5 2.162719-4 8.096994+5 2.176900-4 7.970555+5 2.190000-4 7.858582+5 2.213095-4 7.673180+5 2.220000-4 7.621897+5 2.238721-4 7.488654+5 2.240000-4 7.479707+5 2.280000-4 7.217862+5 2.290868-4 7.151092+5 2.300000-4 7.097861+5 2.330000-4 6.927420+5 2.344229-4 6.850901+5 2.371374-4 6.714288+5 2.374300-4 6.700116+5 2.374300-4 8.180092+5 2.380000-4 8.155500+5 2.386000-4 8.130588+5 2.398833-4 8.068829+5 2.400000-4 8.063261+5 2.425000-4 7.939877+5 2.430000-4 7.913685+5 2.454709-4 7.789326+5 2.483133-4 7.644690+5 2.485000-4 7.635577+5 2.511886-4 7.498233+5 2.520000-4 7.457639+5 2.524300-4 7.436910+5 2.542400-4 7.346658+5 2.570396-4 7.214010+5 2.580000-4 7.169573+5 2.600160-4 7.078994+5 2.630268-4 6.954305+5 2.660725-4 6.832612+5 2.691535-4 6.720658+5 2.710000-4 6.655385+5 2.730000-4 6.589090+5 2.754229-4 6.515354+5 2.800000-4 6.386046+5 2.851018-4 6.253028+5 2.884032-4 6.172688+5 2.930000-4 6.068269+5 2.947600-4 6.031082+5 2.947600-4 6.566790+5 2.951209-4 6.558817+5 2.985383-4 6.488010+5 3.050000-4 6.364358+5 3.054921-4 6.355508+5 3.162278-4 6.171600+5 3.200000-4 6.113768+5 3.311311-4 5.955111+5 3.320000-4 5.943610+5 3.349654-4 5.905736+5 3.388442-4 5.857566+5 3.430000-4 5.807735+5 3.486900-4 5.743462+5 3.486900-4 6.568198+5 3.487700-4 6.573202+5 3.492000-4 6.585140+5 3.498000-4 6.597733+5 3.507519-4 6.610969+5 3.518000-4 6.620490+5 3.532000-4 6.627502+5 3.548134-4 6.630868+5 3.550000-4 6.630735+5 3.556600-4 6.630458+5 3.585500-4 6.630258+5 3.585500-4 7.204946+5 3.587000-4 7.213591+5 3.592000-4 7.232446+5 3.596500-4 7.246890+5 3.598000-4 7.251103+5 3.601000-4 7.260711+5 3.610000-4 7.285226+5 3.616000-4 7.299028+5 3.618000-4 7.304732+5 3.630781-4 7.337037+5 3.640000-4 7.362734+5 3.643000-4 7.370422+5 3.653000-4 7.401852+5 3.655000-4 7.409349+5 3.657200-4 7.417164+5 3.665000-4 7.445396+5 3.672823-4 7.479359+5 3.677000-4 7.498004+5 3.690000-4 7.566495+5 3.705000-4 7.661180+5 3.720000-4 7.778348+5 3.731000-4 7.881008+5 3.735000-4 7.921286+5 3.743000-4 8.009386+5 3.752200-4 8.119483+5 3.754000-4 8.142683+5 3.765000-4 8.294418+5 3.770000-4 8.368829+5 3.777000-4 8.480558+5 3.790000-4 8.707206+5 3.801894-4 8.936291+5 3.815000-4 9.214608+5 3.830000-4 9.568730+5 3.843000-4 9.909244+5 3.845918-4 9.987445+5 3.860000-4 1.039112+6 3.865000-4 1.053846+6 3.880000-4 1.101398+6 3.890451-4 1.135745+6 3.900000-4 1.169089+6 3.920000-4 1.241773+6 3.935501-4 1.301037+6 3.940000-4 1.319161+6 3.960000-4 1.400007+6 3.965000-4 1.420579+6 3.981072-4 1.488750+6 3.985000-4 1.505414+6 4.000000-4 1.570209+6 4.007000-4 1.601908+6 4.027170-4 1.691666+6 4.030000-4 1.704841+6 4.050000-4 1.795936+6 4.073803-4 1.905440+6 4.080000-4 1.934649+6 4.090000-4 1.981239+6 4.100000-4 2.028083+6 4.115000-4 2.098393+6 4.120975-4 2.126468+6 4.130000-4 2.169781+6 4.140000-4 2.216675+6 4.165000-4 2.335777+6 4.168694-4 2.353058+6 4.200000-4 2.500823+6 4.216965-4 2.578327+6 4.230000-4 2.639819+6 4.260000-4 2.774811+6 4.265795-4 2.800888+6 4.290000-4 2.906159+6 4.300000-4 2.949197+6 4.315191-4 3.012103+6 4.320000-4 3.032320+6 4.335000-4 3.093740+6 4.350000-4 3.153032+6 4.365158-4 3.211384+6 4.370000-4 3.230260+6 4.387000-4 3.293520+6 4.415704-4 3.397012+6 4.430000-4 3.446220+6 4.470000-4 3.579424+6 4.518559-4 3.726449+6 4.530000-4 3.759826+6 4.570882-4 3.871884+6 4.580000-4 3.895662+6 4.623810-4 4.003004+6 4.630000-4 4.018375+6 4.677351-4 4.119182+6 4.680000-4 4.124885+6 4.700000-4 4.164885+6 4.731513-4 4.221350+6 4.740000-4 4.236633+6 4.760000-4 4.269636+6 4.800000-4 4.327734+6 4.841724-4 4.382910+6 4.850000-4 4.392292+6 4.897788-4 4.440026+6 4.930000-4 4.472334+6 4.954502-4 4.489346+6 5.011872-4 4.529130+6 5.040000-4 4.545257+6 5.069907-4 4.557962+6 5.120000-4 4.579231+6 5.128614-4 4.581907+6 5.150000-4 4.588544+6 5.188000-4 4.595230+6 5.233200-4 4.603123+6 5.248075-4 4.604177+6 5.260000-4 4.605004+6 5.300000-4 4.602597+6 5.308844-4 4.602066+6 5.350000-4 4.599510+6 5.400000-4 4.591318+6 5.432503-4 4.582155+6 5.495409-4 4.564653+6 5.500000-4 4.563388+6 5.559043-4 4.542409+6 5.580000-4 4.535019+6 5.650000-4 4.503848+6 5.688529-4 4.484367+6 5.754399-4 4.451374+6 5.821032-4 4.413596+6 5.888437-4 4.372097+6 5.956621-4 4.330993+6 6.025596-4 4.285286+6 6.100000-4 4.233417+6 6.165950-4 4.188348+6 6.200000-4 4.165454+6 6.237348-4 4.138231+6 6.309573-4 4.083390+6 6.382635-4 4.029267+6 6.456542-4 3.975773+6 6.500000-4 3.944934+6 6.531306-4 3.920131+6 6.700000-4 3.790820+6 6.760830-4 3.746038+6 6.766400-4 3.741801+6 6.766400-4 4.098783+6 6.839116-4 4.045728+6 6.850000-4 4.037383+6 6.918310-4 3.985695+6 7.000000-4 3.925558+6 7.079458-4 3.868641+6 7.148100-4 3.818934+6 7.148100-4 4.011824+6 7.244360-4 3.948238+6 7.328245-4 3.891856+6 7.413102-4 3.836616+6 7.480000-4 3.791677+6 7.498942-4 3.778857+6 7.500000-4 3.778144+6 7.585776-4 3.721119+6 7.650000-4 3.679587+6 7.673615-4 3.663718+6 7.800000-4 3.579293+6 7.852356-4 3.545416+6 7.950000-4 3.481832+6 8.035261-4 3.427387+6 8.128305-4 3.369704+6 8.222426-4 3.311185+6 8.350000-4 3.234173+6 8.500000-4 3.144682+6 8.511380-4 3.138072+6 8.609938-4 3.080177+6 8.709636-4 3.023030+6 8.810489-4 2.967062+6 8.850000-4 2.945121+6 8.912509-4 2.910793+6 9.015711-4 2.855670+6 9.225714-4 2.745520+6 9.440609-4 2.639583+6 9.500000-4 2.611530+6 9.549926-4 2.587709+6 9.561600-4 2.582194+6 9.561600-4 2.743014+6 9.660509-4 2.696151+6 9.752800-4 2.653408+6 9.885531-4 2.592650+6 1.000000-3 2.542217+6 1.011579-3 2.492218+6 1.015000-3 2.477540+6 1.035142-3 2.392650+6 1.047129-3 2.343325+6 1.059254-3 2.295194+6 1.071519-3 2.247518+6 1.083927-3 2.200269+6 1.110000-3 2.106236+6 1.135011-3 2.019610+6 1.148154-3 1.976402+6 1.161449-3 1.934256+6 1.162000-3 1.932522+6 1.162300-3 1.931578+6 1.162300-3 1.957595+6 1.171000-3 1.930558+6 1.174898-3 1.918578+6 1.188502-3 1.877367+6 1.190000-3 1.872920+6 1.202264-3 1.837140+6 1.210000-3 1.814799+6 1.230269-3 1.758096+6 1.244515-3 1.719738+6 1.258925-3 1.682014+6 1.278000-3 1.633558+6 1.288250-3 1.608429+6 1.303167-3 1.572469+6 1.310600-3 1.554950+6 1.310600-3 1.584874+6 1.333521-3 1.532293+6 1.350000-3 1.495846+6 1.364583-3 1.464434+6 1.380384-3 1.431563+6 1.396368-3 1.399348+6 1.412538-3 1.367956+6 1.428894-3 1.336995+6 1.445440-3 1.306790+6 1.450000-3 1.298638+6 1.462177-3 1.277162+6 1.496236-3 1.219619+6 1.513561-3 1.191710+6 1.531087-3 1.164503+6 1.548817-3 1.137680+6 1.566751-3 1.111174+6 1.570000-3 1.106479+6 1.584893-3 1.085235+6 1.603245-3 1.059936+6 1.611800-3 1.048465+6 1.621810-3 1.035274+6 1.640590-3 1.011037+6 1.650000-3 9.992355+5 1.659587-3 9.873343+5 1.678804-3 9.639606+5 1.690000-3 9.506299+5 1.737801-3 8.968313+5 1.757924-3 8.755465+5 1.778279-3 8.548224+5 1.800000-3 8.334365+5 1.819701-3 8.144700+5 1.840772-3 7.947626+5 1.862087-3 7.755747+5 1.900000-3 7.431861+5 1.927525-3 7.209968+5 1.949845-3 7.037093+5 1.950000-3 7.035916+5 1.972423-3 6.865201+5 2.018366-3 6.534526+5 2.070000-3 6.189703+5 2.089296-3 6.068054+5 2.113489-3 5.918524+5 2.137962-3 5.772812+5 2.162719-3 5.631045+5 2.187762-3 5.492354+5 2.213095-3 5.355801+5 2.238721-3 5.222990+5 2.264644-3 5.093811+5 2.300000-3 4.924132+5 2.317395-3 4.843769+5 2.350000-3 4.697218+5 2.371374-3 4.604420+5 2.400000-3 4.484534+5 2.426610-3 4.377032+5 2.454709-3 4.267520+5 2.483133-3 4.160365+5 2.511886-3 4.056167+5 2.540973-3 3.953232+5 2.570000-3 3.854474+5 2.570396-3 3.853152+5 2.600160-3 3.755596+5 2.630268-3 3.660722+5 2.650000-3 3.600263+5 2.691535-3 3.477901+5 2.700000-3 3.453489+5 2.754229-3 3.302983+5 2.786121-3 3.218965+5 2.800000-3 3.183149+5 2.851018-3 3.056118+5 2.900000-3 2.941213+5 2.917427-3 2.901770+5 2.985383-3 2.755464+5 2.985740-3 2.754717+5 3.000000-3 2.725130+5 3.019952-3 2.684414+5 3.054921-3 2.614667+5 3.090295-3 2.546884+5 3.162278-3 2.416562+5 3.198895-3 2.354072+5 3.235937-3 2.293130+5 3.311311-3 2.175604+5 3.338600-3 2.135187+5 3.338600-3 5.276451+5 3.349654-3 5.232961+5 3.388442-3 5.083620+5 3.400000-3 5.040298+5 3.467369-3 4.797971+5 3.480000-3 4.754383+5 3.502400-3 4.674663+5 3.502400-3 6.657936+5 3.507519-3 6.632738+5 3.527000-3 6.538065+5 3.548134-3 6.441265+5 3.589219-3 6.258389+5 3.650000-3 6.000917+5 3.672823-3 5.907862+5 3.715352-3 5.738353+5 3.758374-3 5.573690+5 3.845918-3 5.258637+5 3.890451-3 5.107944+5 3.900000-3 5.075860+5 3.935501-3 4.958850+5 3.981072-3 4.814096+5 4.000000-3 4.755722+5 4.027170-3 4.673538+5 4.036200-3 4.646667+5 4.036200-3 5.414308+5 4.073803-3 5.294304+5 4.080000-3 5.274847+5 4.130000-3 5.120004+5 4.150000-3 5.059596+5 4.168694-3 5.004038+5 4.216965-3 4.864607+5 4.265795-3 4.727870+5 4.315191-3 4.595117+5 4.365158-3 4.466084+5 4.415704-3 4.338789+5 4.518559-3 4.094910+5 4.570882-3 3.978129+5 4.677351-3 3.754663+5 4.731513-3 3.647674+5 4.800000-3 3.518354+5 4.831600-3 3.460404+5 4.831600-3 3.675577+5 4.841724-3 3.656846+5 4.897788-3 3.555618+5 4.900000-3 3.551688+5 4.954502-3 3.456671+5 5.011872-3 3.360618+5 5.069907-3 3.267377+5 5.080000-3 3.251543+5 5.128614-3 3.176639+5 5.150000-3 3.144473+5 5.157900-3 3.132619+5 5.157900-3 3.266112+5 5.159000-3 3.264431+5 5.188000-3 3.220560+5 5.248075-3 3.132418+5 5.308844-3 3.046739+5 5.350000-3 2.990607+5 5.370318-3 2.963354+5 5.432503-3 2.882077+5 5.500000-3 2.796701+5 5.559043-3 2.724439+5 5.623413-3 2.648956+5 5.754399-3 2.504486+5 5.821032-3 2.435189+5 5.888437-3 2.367820+5 5.956621-3 2.302380+5 6.025596-3 2.238766+5 6.095369-3 2.176362+5 6.165950-3 2.115546+5 6.237348-3 2.056251+5 6.309573-3 1.998781+5 6.382635-3 1.942846+5 6.456542-3 1.888523+5 6.531306-3 1.835745+5 6.606934-3 1.784521+5 6.683439-3 1.734762+5 6.760830-3 1.685762+5 6.800000-3 1.661735+5 6.839116-3 1.638167+5 6.998420-3 1.547071+5 7.000000-3 1.546198+5 7.079458-3 1.503138+5 7.161434-3 1.460502+5 7.244360-3 1.419142+5 7.328245-3 1.378940+5 7.413102-3 1.339625+5 7.585776-3 1.264421+5 7.673615-3 1.228466+5 7.852356-3 1.159609+5 8.000000-3 1.106948+5 8.035261-3 1.094880+5 8.128305-3 1.063920+5 8.222426-3 1.033858+5 8.317638-3 1.004694+5 8.413951-3 9.760405+4 8.500000-3 9.512551+4 8.511380-3 9.480361+4 8.709636-3 8.943986+4 8.810489-3 8.687643+4 8.912509-3 8.437749+4 9.015711-3 8.195116+4 9.120108-3 7.958553+4 9.225714-3 7.729054+4 9.332543-3 7.506267+4 9.440609-3 7.290268+4 9.549926-3 7.080155+4 9.800000-3 6.630306+4 9.885531-3 6.485640+4 1.000000-2 6.299081+4 1.011579-2 6.117797+4 1.023293-2 5.942010+4 1.035142-2 5.770583+4 1.047129-2 5.604226+4 1.059254-2 5.442918+4 1.071519-2 5.284612+4 1.083927-2 5.131090+4 1.096478-2 4.982218+4 1.109175-2 4.837890+4 1.122018-2 4.697594+4 1.135011-2 4.560540+4 1.150000-2 4.409505+4 1.161449-2 4.298710+4 1.174898-2 4.173096+4 1.188502-2 4.051229+4 1.216186-2 3.818616+4 1.230269-2 3.707626+4 1.244515-2 3.599874+4 1.250010-2 3.559341+4 1.258925-2 3.494969+4 1.273503-2 3.393259+4 1.303167-2 3.197984+4 1.318257-2 3.104742+4 1.333521-2 3.014236+4 1.364583-2 2.839638+4 1.396368-2 2.675683+4 1.400000-2 2.657762+4 1.412538-2 2.597044+4 1.428894-2 2.520786+4 1.445440-2 2.446641+4 1.462177-2 2.374743+4 1.479108-2 2.305000+4 1.496236-2 2.237395+4 1.500000-2 2.222894+4 1.513561-2 2.171758+4 1.584893-2 1.927139+4 1.603245-2 1.870441+4 1.621810-2 1.815233+4 1.631500-2 1.787324+4 1.631500-2 4.286227+4 1.640590-2 4.227402+4 1.643000-2 4.211997+4 1.659587-2 4.108082+4 1.665000-2 4.074932+4 1.678804-2 3.986716+4 1.698244-2 3.866659+4 1.717908-2 3.750183+4 1.720000-2 3.738081+4 1.737801-2 3.635108+4 1.757924-2 3.523288+4 1.778279-2 3.414975+4 1.780000-2 3.406019+4 1.798871-2 3.311462+4 1.819701-2 3.211258+4 1.840772-2 3.114113+4 1.850000-2 3.072845+4 1.862087-2 3.019876+4 1.870000-2 2.985848+4 1.883649-2 2.927184+4 1.905461-2 2.836692+4 1.949845-2 2.664166+4 1.950000-2 2.663589+4 1.972423-2 2.581749+4 1.978000-2 2.561925+4 1.978000-2 3.609504+4 2.000000-2 3.512450+4 2.047800-2 3.301484+4 2.047800-2 3.813654+4 2.065380-2 3.732918+4 2.080000-2 3.667606+4 2.089296-2 3.626276+4 2.113489-2 3.521769+4 2.135000-2 3.432406+4 2.150000-2 3.372597+4 2.162719-2 3.323465+4 2.165000-2 3.314757+4 2.213095-2 3.135790+4 2.225000-2 3.093583+4 2.238721-2 3.046523+4 2.264644-2 2.959273+4 2.290868-2 2.874603+4 2.300000-2 2.845925+4 2.317395-2 2.791913+4 2.344229-2 2.710613+4 2.371374-2 2.631693+4 2.398833-2 2.555140+4 2.426610-2 2.480874+4 2.454709-2 2.408827+4 2.483133-2 2.338934+4 2.511886-2 2.271125+4 2.540973-2 2.205257+4 2.543900-2 2.198774+4 2.570396-2 2.141141+4 2.600160-2 2.078483+4 2.630268-2 2.017702+4 2.650000-2 1.979228+4 2.660725-2 1.958734+4 2.691535-2 1.901502+4 2.754229-2 1.792143+4 2.786121-2 1.739916+4 2.818383-2 1.689238+4 2.851018-2 1.639724+4 2.884032-2 1.591332+4 2.917427-2 1.544408+4 2.951209-2 1.498890+4 3.000000-2 1.436361+4 3.054921-2 1.370259+4 3.090295-2 1.329926+4 3.126079-2 1.290516+4 3.162278-2 1.252306+4 3.198895-2 1.215107+4 3.235937-2 1.178830+4 3.273407-2 1.143664+4 3.311311-2 1.109572+4 3.349654-2 1.076471+4 3.388442-2 1.044382+4 3.427678-2 1.013266+4 3.487120-2 9.685142+3 3.507519-2 9.537939+3 3.548134-2 9.253998+3 3.589219-2 8.978730+3 3.630781-2 8.711838+3 3.672823-2 8.453041+3 3.715352-2 8.202106+3 3.801894-2 7.719486+3 3.845918-2 7.489194+3 3.890451-2 7.265695+3 3.935501-2 7.047687+3 3.981072-2 6.836344+3 4.000000-2 6.751081+3 4.027170-2 6.630406+3 4.073803-2 6.430181+3 4.120975-2 6.236141+3 4.216965-2 5.865791+3 4.265795-2 5.689139+3 4.315191-2 5.517925+3 4.415704-2 5.191093+3 4.466836-2 5.035018+3 4.518559-2 4.883597+3 4.570882-2 4.736838+3 4.623810-2 4.594562+3 4.677351-2 4.455388+3 4.786301-2 4.189784+3 4.841724-2 4.063110+3 4.954502-2 3.820269+3 5.011872-2 3.704480+3 5.069907-2 3.592258+3 5.128614-2 3.483517+3 5.188000-2 3.378120+3 5.308844-2 3.175399+3 5.370318-2 3.078739+3 5.432503-2 2.985064+3 5.495409-2 2.894222+3 5.688529-2 2.638236+3 5.754399-2 2.558151+3 5.800000-2 2.504681+3 5.821032-2 2.480450+3 5.956621-2 2.331819+3 6.000000-2 2.286891+3 6.025596-2 2.260858+3 6.095369-2 2.191956+3 6.165950-2 2.125060+3 6.237348-2 2.060247+3 6.309573-2 1.997026+3 6.382635-2 1.935769+3 6.456542-2 1.876426+3 6.531306-2 1.818894+3 6.760830-2 1.656839+3 6.839116-2 1.606161+3 6.918310-2 1.557062+3 7.161434-2 1.418761+3 7.244360-2 1.375452+3 7.328245-2 1.333491+3 7.500000-2 1.252673+3 7.585776-2 1.214513+3 7.673615-2 1.177079+3 7.762471-2 1.140818+3 7.852356-2 1.105671+3 7.943282-2 1.071626+3 8.222426-2 9.757473+2 8.317638-2 9.457685+2 8.511380-2 8.885948+2 8.709636-2 8.348789+2 8.912509-2 7.844658+2 9.015711-2 7.604332+2 9.332543-2 6.922657+2 9.660509-2 6.302894+2 9.772372-2 6.108987+2 9.885531-2 5.920942+2 1.000000-1 5.738753+2 1.011580-1 5.562123+2 1.023293-1 5.391034+2 1.035142-1 5.225288+2 1.047129-1 5.064550+2 1.071519-1 4.758012+2 1.096478-1 4.470304+2 1.101100-1 4.419402+2 1.101100-1 1.916421+3 1.113000-1 1.868436+3 1.116000-1 1.853366+3 1.122019-1 1.831133+3 1.123000-1 1.827546+3 1.135011-1 1.775509+3 1.148154-1 1.728262+3 1.150000-1 1.721771+3 1.161449-1 1.677739+3 1.188502-1 1.579708+3 1.190000-1 1.574514+3 1.202264-1 1.534862+3 1.216186-1 1.491533+3 1.244515-1 1.408535+3 1.288250-1 1.288267+3 1.303167-1 1.250514+3 1.318257-1 1.213861+3 1.333521-1 1.178289+3 1.348963-1 1.143721+3 1.364583-1 1.110174+3 1.396368-1 1.046013+3 1.445440-1 9.573367+2 1.462177-1 9.294888+2 1.479108-1 9.024541+2 1.496236-1 8.762074+2 1.513561-1 8.507293+2 1.531088-1 8.259931+2 1.580000-1 7.620485+2 1.584893-1 7.559731+2 1.603245-1 7.337850+2 1.621810-1 7.122497+2 1.640590-1 6.913556+2 1.698244-1 6.322921+2 1.717908-1 6.137519+2 1.737801-1 5.957559+2 1.778279-1 5.613224+2 1.819701-1 5.288843+2 1.862087-1 4.983294+2 1.883649-1 4.837225+2 1.905461-1 4.695451+2 1.927525-1 4.557848+2 1.949845-1 4.424286+2 1.972423-1 4.294651+2 2.000000-1 4.143455+2 2.018366-1 4.046845+2 2.041738-1 3.928372+2 2.162719-1 3.386456+2 2.213095-1 3.191286+2 2.213400-1 3.190152+2 2.238721-1 3.097971+2 2.264644-1 3.007391+2 2.299100-1 2.892611+2 2.317395-1 2.834132+2 2.344229-1 2.751336+2 2.400000-1 2.589699+2 2.426610-1 2.517253+2 2.454709-1 2.443777+2 2.483133-1 2.372461+2 2.511886-1 2.303230+2 2.540973-1 2.236021+2 2.570396-1 2.170780+2 2.600160-1 2.108279+2 2.630268-1 2.047598+2 2.660725-1 1.988671+2 2.691535-1 1.931514+2 2.722701-1 1.876032+2 2.754229-1 1.822145+2 2.818383-1 1.718990+2 2.851018-1 1.669665+2 2.884032-1 1.621755+2 2.917427-1 1.575225+2 2.951209-1 1.530039+2 3.019952-1 1.443524+2 3.054921-1 1.402125+2 3.090295-1 1.361914+2 3.162278-1 1.286079+2 3.198895-1 1.249763+2 3.235937-1 1.214475+2 3.273407-1 1.180200+2 3.311311-1 1.146923+2 3.349654-1 1.114633+2 3.388442-1 1.083253+2 3.427678-1 1.052759+2 3.467369-1 1.023130+2 3.507519-1 9.943360+1 3.548134-1 9.663726+1 3.630781-1 9.127864+1 3.672823-1 8.875256+1 3.758374-1 8.390866+1 3.801894-1 8.158896+1 3.845918-1 7.933348+1 3.890451-1 7.714054+1 3.935501-1 7.500910+1 3.981072-1 7.294205+1 4.000000-1 7.210725+1 4.027170-1 7.093237+1 4.073803-1 6.897810+1 4.120975-1 6.707784+1 4.168694-1 6.526492+1 4.265795-1 6.178502+1 4.365158-1 5.849384+1 4.415705-1 5.691466+1 4.466836-1 5.537909+1 4.518559-1 5.388551+1 4.570882-1 5.243229+1 4.623810-1 5.102201+1 4.731513-1 4.831481+1 4.786301-1 4.703947+1 4.841724-1 4.579784+1 4.897788-1 4.459015+1 4.954502-1 4.341434+1 5.000000-1 4.250341+1 5.011872-1 4.227022+1 5.069907-1 4.115643+1 5.128614-1 4.007227+1 5.188000-1 3.901672+1 5.248075-1 3.798905+1 5.308844-1 3.698900+1 5.370318-1 3.601732+1 5.432503-1 3.508986+1 5.495409-1 3.418712+1 5.559043-1 3.330817+1 5.623413-1 3.245185+1 5.688529-1 3.161769+1 5.754399-1 3.080499+1 5.821032-1 3.001342+1 5.888437-1 2.924220+1 5.956621-1 2.849084+1 6.000000-1 2.802725+1 6.025596-1 2.775881+1 6.095369-1 2.704601+1 6.165950-1 2.637039+1 6.237348-1 2.571176+1 6.309573-1 2.506974+1 6.382635-1 2.444376+1 6.456542-1 2.383347+1 6.531306-1 2.323856+1 6.683439-1 2.209297+1 6.760830-1 2.154156+1 6.839117-1 2.100416+1 6.918310-1 2.048067+1 6.998420-1 1.998083+1 7.079458-1 1.949437+1 7.161434-1 1.901979+1 7.244360-1 1.855685+1 7.328245-1 1.810530+1 7.413102-1 1.766474+1 7.498942-1 1.723492+1 7.585776-1 1.681557+1 7.673615-1 1.640643+1 7.762471-1 1.600731+1 7.852356-1 1.561831+1 7.943282-1 1.524680+1 8.035261-1 1.488530+1 8.128305-1 1.453238+1 8.222427-1 1.418789+1 8.317638-1 1.385166+1 8.511380-1 1.320293+1 8.609938-1 1.289066+1 8.709636-1 1.258578+1 8.912509-1 1.199769+1 9.015711-1 1.171403+1 9.120108-1 1.143815+1 9.225714-1 1.117481+1 9.332543-1 1.091759+1 9.440609-1 1.066669+1 9.549926-1 1.042157+1 9.660509-1 1.018209+1 9.772372-1 9.948126+0 9.885531-1 9.719815+0 1.000000+0 9.496815+0 1.011579+0 9.278943+0 1.035142+0 8.868810+0 1.047129+0 8.670602+0 1.059254+0 8.476986+0 1.071519+0 8.287739+0 1.096478+0 7.921935+0 1.109175+0 7.745131+0 1.122018+0 7.572286+0 1.135011+0 7.403481+0 1.148154+0 7.238550+0 1.161449+0 7.077337+0 1.174898+0 6.919723+0 1.188502+0 6.765628+0 1.202264+0 6.614999+0 1.216186+0 6.467726+0 1.230269+0 6.327903+0 1.244515+0 6.191130+0 1.250000+0 6.139706+0 1.258925+0 6.057519+0 1.273503+0 5.926853+0 1.303167+0 5.673936+0 1.318257+0 5.551555+0 1.333521+0 5.431852+0 1.348963+0 5.314720+0 1.364583+0 5.200126+0 1.380384+0 5.091139+0 1.396368+0 4.984524+0 1.428894+0 4.778154+0 1.496236+0 4.390721+0 1.513561+0 4.298896+0 1.531087+0 4.208990+0 1.548817+0 4.123679+0 1.621810+0 3.799461+0 1.659587+0 3.647181+0 1.698244+0 3.501013+0 1.717908+0 3.430175+0 1.737801+0 3.360793+0 1.757924+0 3.294873+0 1.778279+0 3.230262+0 1.819701+0 3.104811+0 1.840772+0 3.043925+0 1.862087+0 2.984294+0 1.883649+0 2.925831+0 1.905461+0 2.868516+0 1.927525+0 2.812325+0 1.949845+0 2.757263+0 1.972423+0 2.703303+0 1.995262+0 2.650441+0 2.018366+0 2.600097+0 2.044000+0 2.546018+0 2.065380+0 2.502278+0 2.089296+0 2.454758+0 2.113489+0 2.408189+0 2.137962+0 2.362505+0 2.187762+0 2.273724+0 2.213095+0 2.230615+0 2.238721+0 2.188342+0 2.264644+0 2.146870+0 2.290868+0 2.107420+0 2.317395+0 2.068704+0 2.344229+0 2.030700+0 2.371374+0 1.993394+0 2.398833+0 1.956773+0 2.426610+0 1.920864+0 2.454709+0 1.885613+0 2.511886+0 1.817046+0 2.540973+0 1.783719+0 2.570396+0 1.751019+0 2.600160+0 1.718918+0 2.630268+0 1.688384+0 2.660725+0 1.658399+0 2.691535+0 1.628946+0 2.722701+0 1.600017+0 2.754229+0 1.571600+0 2.786121+0 1.543719+0 2.818383+0 1.516332+0 2.884032+0 1.463011+0 2.917427+0 1.437072+0 2.951209+0 1.411604+0 3.000000+0 1.376108+0 3.019952+0 1.362435+0 3.054921+0 1.339014+0 3.090295+0 1.315995+0 3.126079+0 1.293372+0 3.162278+0 1.271138+0 3.198895+0 1.249287+0 3.273407+0 1.206749+0 3.349654+0 1.165662+0 3.388442+0 1.145657+0 3.427678+0 1.126003+0 3.467369+0 1.106687+0 3.507519+0 1.088270+0 3.548134+0 1.070163+0 3.589219+0 1.052357+0 3.630781+0 1.034848+0 3.672823+0 1.017630+0 3.715352+0 1.000699+0 3.801894+0 9.677111-1 3.890451+0 9.358133-1 3.935501+0 9.202685-1 4.000000+0 8.987676-1 4.027170+0 8.899629-1 4.073803+0 8.756299-1 4.120975+0 8.615309-1 4.168694+0 8.476586-1 4.216965+0 8.340100-1 4.265795+0 8.205811-1 4.315191+0 8.073683-1 4.365158+0 7.943688-1 4.466836+0 7.690202-1 4.570882+0 7.444822-1 4.623810+0 7.325146-1 4.677351+0 7.207444-1 4.731513+0 7.091632-1 4.786301+0 6.981099-1 4.841724+0 6.872311-1 4.897788+0 6.765219-1 4.954502+0 6.659795-1 5.011872+0 6.556016-1 5.069907+0 6.453852-1 5.128614+0 6.353284-1 5.248075+0 6.157022-1 5.370318+0 5.966836-1 5.432503+0 5.874004-1 5.495409+0 5.782654-1 5.559043+0 5.692726-1 5.688529+0 5.522052-1 5.754399+0 5.438659-1 5.821032+0 5.356526-1 5.888437+0 5.275633-1 5.956621+0 5.195964-1 6.025596+0 5.117496-1 6.095369+0 5.040215-1 6.237348+0 4.889284-1 6.382635+0 4.742882-1 6.456542+0 4.671369-1 6.531306+0 4.600936-1 6.606934+0 4.531594-1 6.683439+0 4.465303-1 6.760830+0 4.400033-1 6.839116+0 4.335730-1 6.918310+0 4.272367-1 7.000000+0 4.208715-1 7.079458+0 4.148406-1 7.161434+0 4.087781-1 7.244360+0 4.028043-1 7.413102+0 3.911291-1 7.585776+0 3.797930-1 7.673615+0 3.742514-1 7.762471+0 3.687909-1 7.943282+0 3.581113-1 8.035261+0 3.530241-1 8.128305+0 3.480125-1 8.317638+0 3.382034-1 8.413951+0 3.334031-1 8.511380+0 3.286709-1 8.609938+0 3.240059-1 8.709636+0 3.194071-1 8.810489+0 3.148735-1 8.912509+0 3.104045-1 9.120108+0 3.016641-1 9.332543+0 2.931703-1 9.440609+0 2.890158-1 9.549926+0 2.849213-1 9.660509+0 2.808852-1 9.772372+0 2.770224-1 9.885531+0 2.732156-1 1.011579+1 2.657598-1 1.023293+1 2.621083-1 1.035142+1 2.585072-1 1.047129+1 2.549554-1 1.059254+1 2.514525-1 1.071519+1 2.479980-1 1.109175+1 2.379240-1 1.161449+1 2.251266-1 1.174898+1 2.220378-1 1.202264+1 2.159884-1 1.216186+1 2.130260-1 1.230269+1 2.101811-1 1.244515+1 2.073766-1 1.258925+1 2.046096-1 1.273503+1 2.018794-1 1.288250+1 1.991856-1 1.300000+1 1.970881-1 1.380384+1 1.837722-1 1.462177+1 1.718435-1 1.479108+1 1.695535-1 1.500000+1 1.668055-1 1.513561+1 1.651082-1 1.531087+1 1.629622-1 1.548817+1 1.608440-1 1.798871+1 1.357066-1 1.972423+1 1.222320-1 1.995262+1 1.206447-1 2.000000+1 1.203204-1 2.018366+1 1.190790-1 2.041738+1 1.175774-1 2.065380+1 1.160948-1 2.213095+1 1.075916-1 2.570396+1 9.124474-2 2.600160+1 9.009537-2 2.660725+1 8.783994-2 2.691535+1 8.673384-2 2.722701+1 8.564188-2 2.800000+1 8.309670-2 2.818383+1 8.251275-2 2.851018+1 8.149535-2 3.090295+1 7.472088-2 3.507519+1 6.519528-2 3.548134+1 6.439204-2 3.630781+1 6.281511-2 3.672823+1 6.204144-2 3.715352+1 6.127741-2 3.758374+1 6.052294-2 3.845918+1 5.906864-2 3.890451+1 5.835467-2 3.935501+1 5.764930-2 3.981072+1 5.695289-2 4.000000+1 5.666843-2 4.466836+1 5.043519-2 5.188000+1 4.306453-2 5.248075+1 4.254433-2 5.370318+1 4.152274-2 5.432503+1 4.102133-2 5.495409+1 4.052607-2 5.559043+1 4.003687-2 5.688529+1 3.909257-2 5.754399+1 3.862880-2 5.821032+1 3.817054-2 5.888437+1 3.771797-2 6.606934+1 3.347719-2 8.035261+1 2.733337-2 8.222427+1 2.668909-2 8.511380+1 2.575105-2 8.609938+1 2.544582-2 8.709636+1 2.514424-2 8.810489+1 2.484628-2 9.015711+1 2.426093-2 9.332543+1 2.341990-2 9.440609+1 2.314609-2 9.549926+1 2.287548-2 9.660509+1 2.260804-2 9.885531+1 2.208272-2 1.122018+2 1.940423-2 1.333521+2 1.626751-2 1.396368+2 1.552034-2 1.513561+2 1.429443-2 1.531087+2 1.412741-2 1.566751+2 1.379920-2 1.621810+2 1.332116-2 1.659587+2 1.301170-2 1.698244+2 1.270946-2 1.717908+2 1.256099-2 1.798871+2 1.198424-2 1.862087+2 1.157309-2 1.883649+2 1.143920-2 1.905461+2 1.130686-2 1.927525+2 1.117605-2 1.972423+2 1.091904-2 2.238721+2 9.607543-3 2.511886+2 8.552504-3 2.540973+2 8.453593-3 2.630268+2 8.163677-3 2.691535+2 7.975964-3 2.754229+2 7.792568-3 2.917427+2 7.352339-3 3.054921+2 7.018131-3 3.311311+2 6.469443-3 3.388442+2 6.320706-3 3.589219+2 5.963657-3 3.715352+2 5.760346-3 3.758374+2 5.694128-3 3.801894+2 5.628671-3 3.845918+2 5.563966-3 3.935501+2 5.436803-3 4.466836+2 4.787608-3 5.011872+2 4.264957-3 5.069907+2 4.215938-3 5.248075+2 4.072237-3 5.370318+2 3.979175-3 5.495409+2 3.888239-3 1.161449+3 1.834263-3 1.216186+3 1.751388-3 1.318257+3 1.615269-3 1.348963+3 1.578359-3 1.428894+3 1.489731-3 1.479108+3 1.439128-3 1.496236+3 1.422645-3 1.513561+3 1.406351-3 1.531087+3 1.390244-3 1.566751+3 1.358584-3 1.778279+3 1.196910-3 1.995262+3 1.066692-3 2.018366+3 1.054476-3 2.089296+3 1.018662-3 2.137962+3 9.954649-4 2.187762+3 9.727960-4 1.000000+5 2.125042-5 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.980000-6 4.980000-6 5.620000-6 4.980000-6 5.620000-6 5.175931-6 5.970000-6 5.185036-6 5.970000-6 5.451151-6 6.850000-6 5.371936-6 7.852356-6 5.322642-6 9.440609-6 5.288008-6 1.290000-5 5.271224-6 2.501000-5 5.272526-6 2.501000-5 1.939968-5 2.660725-5 1.939332-5 3.198895-5 1.912546-5 3.352000-5 1.903206-5 3.352000-5 2.516778-5 3.550000-5 2.542137-5 3.935501-5 2.562370-5 4.472100-5 2.569007-5 5.055000-5 2.565279-5 5.055000-5 2.726435-5 5.688529-5 2.706243-5 6.309573-5 2.705566-5 7.161434-5 2.723886-5 8.709636-5 2.779878-5 9.711000-5 2.821512-5 9.711000-5 7.578997-5 9.740000-5 7.702340-5 9.800000-5 7.922444-5 9.885531-5 8.185624-5 9.980000-5 8.414236-5 1.007000-4 8.578522-5 1.020000-4 8.746339-5 1.035142-4 8.867407-5 1.042300-4 8.904266-5 1.042300-4 9.147645-5 1.072000-4 9.355949-5 1.100000-4 9.484721-5 1.127000-4 9.544910-5 1.163000-4 9.559814-5 1.303167-4 9.459910-5 1.430000-4 9.319285-5 1.590000-4 9.073983-5 1.894100-4 8.518634-5 1.894100-4 1.057022-4 2.120000-4 1.066174-4 2.374300-4 1.068011-4 2.374300-4 1.214738-4 2.430000-4 1.218133-4 2.524300-4 1.214049-4 2.800000-4 1.188220-4 2.947600-4 1.176414-4 2.947600-4 1.263424-4 3.486900-4 1.236872-4 3.486900-4 1.362943-4 3.507519-4 1.371348-4 3.556600-4 1.380199-4 3.585500-4 1.383698-4 3.585500-4 1.451800-4 3.672823-4 1.489974-4 3.705000-4 1.511060-4 3.743000-4 1.546381-4 3.777000-4 1.587912-4 3.830000-4 1.666065-4 3.900000-4 1.774402-4 3.940000-4 1.829523-4 3.985000-4 1.882360-4 4.030000-4 1.925948-4 4.100000-4 1.978281-4 4.168694-4 2.016270-4 4.265795-4 2.054287-4 4.387000-4 2.084361-4 4.570882-4 2.110598-4 4.850000-4 2.129884-4 5.350000-4 2.141521-4 6.531306-4 2.141877-4 6.766400-4 2.140564-4 6.766400-4 2.256978-4 7.148100-4 2.265865-4 7.148100-4 2.327256-4 8.128305-4 2.368038-4 9.561600-4 2.417428-4 9.561600-4 2.533142-4 1.162300-3 2.610936-4 1.162300-3 2.645587-4 1.310600-3 2.699784-4 1.310600-3 2.752351-4 1.621810-3 2.859924-4 1.972423-3 2.957792-4 2.400000-3 3.054322-4 2.917427-3 3.147074-4 3.338600-3 3.209372-4 3.338600-3 4.760478-4 3.502400-3 4.757947-4 3.502400-3 5.061504-4 4.036200-3 5.057378-4 4.036200-3 5.453175-4 4.831600-3 5.506800-4 4.831600-3 5.703294-4 5.157900-3 5.740370-4 5.157900-3 5.911184-4 6.839116-3 6.120067-4 8.912509-3 6.323321-4 1.135011-2 6.509552-4 1.445440-2 6.690594-4 1.631500-2 6.778479-4 1.631500-2 8.264986-4 1.978000-2 8.308999-4 1.978000-2 8.640149-4 2.047800-2 8.648979-4 2.047800-2 9.292543-4 2.851018-2 9.526837-4 4.027170-2 9.768318-4 5.495409-2 9.981194-4 7.500000-2 1.018739-3 1.023293-1 1.037702-3 1.101100-1 1.042032-3 1.101100-1 9.514344-4 2.754229-1 9.577213-4 7.328245-1 9.610307-4 1.000000+5 9.614214-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.980000-6 0.0 1.894100-4 0.0 1.894100-4 2.719303-9 1.950000-4 2.847697-9 2.000000-4 2.953245-9 2.065380-4 3.075113-9 2.089296-4 3.115608-9 2.150000-4 3.192935-9 2.280000-4 3.313278-9 2.344229-4 3.355427-9 2.374300-4 3.369603-9 2.374300-4 4.802232-9 2.400000-4 4.835808-9 2.430000-4 4.851068-9 2.454709-4 4.855154-9 2.511886-4 4.831592-9 2.600160-4 4.751763-9 2.754229-4 4.588234-9 2.947600-4 4.382601-9 2.947600-4 4.742974-9 3.349654-4 4.385587-9 3.486900-4 4.276484-9 3.486900-4 2.007929-8 3.487700-4 2.017946-8 3.492000-4 2.046657-8 3.498000-4 2.079767-8 3.507519-4 2.120826-8 3.518000-4 2.157409-8 3.532000-4 2.196552-8 3.550000-4 2.236943-8 3.585500-4 2.302119-8 3.585500-4 2.181521-8 3.601000-4 2.199114-8 3.618000-4 2.232131-8 3.630781-4 2.267426-8 3.643000-4 2.312774-8 3.655000-4 2.369330-8 3.665000-4 2.424501-8 3.677000-4 2.502737-8 3.690000-4 2.601568-8 3.705000-4 2.734041-8 3.720000-4 2.884994-8 3.735000-4 3.053381-8 3.754000-4 3.290511-8 3.770000-4 3.506323-8 3.801894-4 3.973026-8 3.845918-4 4.635748-8 3.865000-4 4.909034-8 3.880000-4 5.113094-8 3.900000-4 5.363268-8 3.920000-4 5.586659-8 3.940000-4 5.781312-8 3.965000-4 5.987894-8 3.985000-4 6.129483-8 4.007000-4 6.265615-8 4.030000-4 6.387618-8 4.050000-4 6.481263-8 4.100000-4 6.676928-8 4.140000-4 6.795314-8 4.168694-4 6.867936-8 4.216965-4 6.960090-8 4.265795-4 7.023685-8 4.370000-4 7.094855-8 4.580000-4 7.159179-8 4.760000-4 7.168476-8 5.432503-4 7.141107-8 6.766400-4 7.046277-8 6.766400-4 7.343942-8 7.148100-4 7.345699-8 7.148100-4 8.049129-8 7.673615-4 8.198342-8 9.561600-4 8.561025-8 9.561600-4 1.038685-7 1.035142-3 1.066825-7 1.162300-3 1.105830-7 1.162300-3 1.150319-7 1.310600-3 1.201659-7 1.310600-3 1.288454-7 1.548817-3 1.378372-7 1.778279-3 1.456375-7 2.113489-3 1.557895-7 2.400000-3 1.635047-7 2.851018-3 1.741557-7 3.235937-3 1.821766-7 3.338600-3 1.841680-7 3.338600-3 2.383031-7 3.502400-3 2.391714-7 3.502400-3 4.235682-5 3.758374-3 4.232873-5 4.036200-3 4.224501-5 4.036200-3 4.202496-5 4.518559-3 4.174263-5 4.831600-3 4.151690-5 4.831600-3 4.647668-5 5.157900-3 4.673972-5 5.157900-3 4.758979-5 6.531306-3 4.870216-5 8.317638-3 4.980610-5 1.047129-2 5.087146-5 1.303167-2 5.187090-5 1.631500-2 5.284583-5 1.631500-2 3.447322-3 1.678804-2 3.451863-3 1.978000-2 3.418531-3 1.978000-2 5.092934-3 2.047800-2 5.109497-3 2.047800-2 5.332662-3 2.543900-2 5.393252-3 3.198895-2 5.438433-3 4.518559-2 5.477351-3 7.244360-2 5.499512-3 1.101100-1 5.502592-3 1.101100-1 7.731497-2 1.288250-1 7.792939-2 1.737801-1 7.871212-2 2.540973-1 7.933367-2 4.623810-1 8.007022-2 9.015711-1 8.082726-2 1.000000+5 8.087417-2 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.980000-6 0.0 5.620000-6 6.400000-7 5.620000-6 4.440694-7 5.850000-6 6.678255-7 5.970000-6 7.849642-7 5.970000-6 5.188492-7 6.237348-6 8.146766-7 6.606934-6 1.217129-6 6.850000-6 1.478064-6 7.244360-6 1.895786-6 7.852356-6 2.529714-6 9.120108-6 3.827922-6 1.202264-5 6.750055-6 2.501000-5 1.973747-5 2.501000-5 5.610318-6 2.580000-5 6.391833-6 2.660725-5 7.213930-6 2.985383-5 1.060665-5 3.352000-5 1.448794-5 3.352000-5 8.352222-6 3.427678-5 8.991655-6 3.550000-5 1.007863-5 3.715352-5 1.162532-5 3.935501-5 1.373131-5 4.315191-5 1.747106-5 5.055000-5 2.489721-5 5.055000-5 2.328565-5 5.688529-5 2.982286-5 6.350000-5 3.644058-5 7.500000-5 4.765402-5 9.711000-5 6.889488-5 9.711000-5 2.132003-5 9.740000-5 2.037660-5 9.800000-5 1.877556-5 9.850000-5 1.765829-5 9.900000-5 1.674490-5 9.940000-5 1.614546-5 9.980000-5 1.565764-5 1.002000-4 1.527104-5 1.007000-4 1.491478-5 1.012000-4 1.468391-5 1.016500-4 1.457005-5 1.020000-4 1.453661-5 1.025000-4 1.456270-5 1.030000-4 1.466537-5 1.035142-4 1.484013-5 1.042300-4 1.518734-5 1.042300-4 1.275355-5 1.050000-4 1.291383-5 1.063000-4 1.329987-5 1.072000-4 1.364051-5 1.080000-4 1.399958-5 1.090000-4 1.453226-5 1.101000-4 1.521895-5 1.110000-4 1.586300-5 1.122018-4 1.682284-5 1.135011-4 1.797231-5 1.155000-4 1.989486-5 1.175000-4 2.193818-5 1.220000-4 2.671932-5 1.318257-4 3.736573-5 1.380384-4 4.422251-5 1.496236-4 5.737485-5 1.678804-4 7.868508-5 1.894100-4 1.042237-4 1.894100-4 8.370503-5 2.120000-4 1.053795-4 2.374300-4 1.306255-4 2.374300-4 1.159514-4 2.430000-4 1.211819-4 2.524300-4 1.310202-4 2.851018-4 1.666846-4 2.947600-4 1.771143-4 2.947600-4 1.684129-4 3.486900-4 2.249985-4 3.486900-4 2.123756-4 3.532000-4 2.155089-4 3.585500-4 2.201572-4 3.585500-4 2.133482-4 3.677000-4 2.184471-4 3.720000-4 2.196185-4 3.765000-4 2.192451-4 3.815000-4 2.171729-4 3.900000-4 2.125062-4 3.960000-4 2.105187-4 4.007000-4 2.101554-4 4.073803-4 2.112606-4 4.140000-4 2.137624-4 4.230000-4 2.187208-4 4.350000-4 2.272596-4 4.530000-4 2.423226-4 4.800000-4 2.671761-4 5.400000-4 3.257259-4 6.766400-4 4.625132-4 6.766400-4 4.508688-4 7.148100-4 4.881501-4 7.148100-4 4.820040-4 9.561600-4 7.143316-4 9.561600-4 7.027419-4 1.162300-3 9.010958-4 1.162300-3 8.976263-4 1.310600-3 1.040501-3 1.310600-3 1.035236-3 2.018366-3 1.721301-3 3.338600-3 3.017479-3 3.338600-3 2.862314-3 3.502400-3 3.026366-3 3.502400-3 2.953893-3 4.036200-3 3.488217-3 4.036200-3 3.448858-3 4.831600-3 4.239403-3 4.831600-3 4.214794-3 5.157900-3 4.537123-3 5.157900-3 4.519192-3 1.230269-2 1.159404-2 1.631500-2 1.558431-2 1.631500-2 1.204118-2 1.978000-2 1.553057-2 1.978000-2 1.382305-2 2.047800-2 1.450360-2 2.047800-2 1.421608-2 3.273407-2 2.633059-2 1.101100-1 1.035654-1 1.101100-1 3.184360-2 1.123000-1 3.390257-2 1.135011-1 3.510244-2 1.161449-1 3.761920-2 1.303167-1 5.140517-2 1.737801-1 9.411318-2 3.162278-1 2.356531-1 1.778279+0 1.696446+0 1.000000+5 9.999992+4 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.101100-1 1.474481+3 1.113000-1 1.439238+3 1.116000-1 1.427300+3 1.123000-1 1.408666+3 1.135011-1 1.368578+3 1.150000-1 1.329100+3 1.190000-1 1.216676+3 1.244515-1 1.091640+3 1.396368-1 8.140903+2 1.580000-1 5.960880+2 2.570396-1 1.717512+2 3.090295-1 1.080955+2 3.630781-1 7.263456+1 4.120975-1 5.348353+1 4.731513-1 3.861061+1 5.370318-1 2.884125+1 6.095369-1 2.170064+1 6.918310-1 1.646684+1 7.852356-1 1.258307+1 9.120108-1 9.231915+0 1.011579+0 7.493888+0 1.216186+0 5.224840+0 1.364583+0 4.200188+0 1.531087+0 3.398974+0 1.737801+0 2.714020+0 1.995262+0 2.140379+0 2.264644+0 1.733702+0 2.600160+0 1.388124+0 3.000000+0 1.111300+0 3.467369+0 8.937226-1 4.027170+0 7.186991-1 4.731513+0 5.726946-1 5.559043+0 4.597231-1 6.606934+0 3.659541-1 7.943282+0 2.891962-1 9.660509+0 2.268323-1 1.216186+1 1.720325-1 1.500000+1 1.347100-1 2.018366+1 9.616642-2 2.722701+1 6.916290-2 3.758374+1 4.887733-2 5.559043+1 3.233308-2 9.015711+1 1.959267-2 1.798871+2 9.678195-3 3.589219+2 4.816172-3 1.428894+3 1.203081-3 1.000000+5 1.716200-5 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.101100-1 9.242800-4 1.000000+5 9.242800-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.101100-1 9.883900-2 1.000000+5 9.883900-2 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.101100-1 1.034672-2 1.000000+5 9.999990+4 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.047800-2 5.121700+3 2.135000-2 4.761260+3 2.165000-2 4.658320+3 2.225000-2 4.429060+3 2.317395-2 4.145223+3 2.851018-2 2.853397+3 3.198895-2 2.293531+3 4.000000-2 1.473460+3 4.623810-2 1.091710+3 5.188000-2 8.566561+2 6.237348-2 5.741221+2 7.500000-2 3.799920+2 9.015711-2 2.489807+2 1.096478-1 1.572127+2 1.333521-1 9.842618+1 1.737801-1 5.175586+1 2.660725-1 1.829720+1 3.311311-1 1.080216+1 3.935501-1 7.173167+0 4.570882-1 5.063942+0 5.308844-1 3.603675+0 6.095369-1 2.650879+0 6.998420-1 1.963947+0 7.943282-1 1.501634+0 9.015711-1 1.156554+0 1.011579+0 9.185051-1 1.216186+0 6.405040-1 1.364583+0 5.148370-1 1.531087+0 4.165564-1 1.737801+0 3.326001-1 1.995262+0 2.622985-1 2.264644+0 2.124527-1 2.600160+0 1.700917-1 3.000000+0 1.361600-1 3.467369+0 1.095054-1 4.027170+0 8.806296-2 4.731513+0 7.017248-2 5.559043+0 5.632984-2 6.606934+0 4.484015-2 7.943282+0 3.543565-2 9.660509+0 2.779366-2 1.216186+1 2.107849-2 1.500000+1 1.650600-2 2.018366+1 1.178380-2 2.722701+1 8.474621-3 3.758374+1 5.988961-3 5.559043+1 3.961805-3 9.015711+1 2.400673-3 1.798871+2 1.185871-3 3.589219+2 5.901285-4 1.428894+3 1.474145-4 1.000000+5 2.102800-6 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.047800-2 1.344100-3 1.000000+5 1.344100-3 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.047800-2 6.771200-3 1.000000+5 6.771200-3 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.047800-2 1.236270-2 1.000000+5 9.999999+4 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 1.978000-2 1.047579+4 2.000000-2 1.026700+4 2.080000-2 9.362400+3 2.150000-2 8.616300+3 2.238721-2 7.811800+3 2.543900-2 5.651000+3 2.818383-2 4.346000+3 3.162278-2 3.208200+3 3.715352-2 2.086100+3 4.623810-2 1.146400+3 5.800000-2 6.089500+2 7.328245-2 3.137800+2 9.772372-2 1.375100+2 1.621810-1 3.198000+1 2.041738-1 1.658000+1 2.400000-1 1.051300+1 2.818383-1 6.726793+0 3.273407-1 4.470010+0 3.758374-1 3.087988+0 4.265795-1 2.215376+0 4.841724-1 1.600824+0 5.432503-1 1.199455+0 6.095369-1 9.050058-1 6.839117-1 6.880030-1 7.762471-1 5.129787-1 8.511380-1 4.171060-1 9.332543-1 3.416142-1 1.011579+0 2.887953-1 1.122018+0 2.346578-1 1.250000+0 1.905062-1 1.396368+0 1.549908-1 1.621810+0 1.183062-1 1.840772+0 9.477228-2 2.089296+0 7.645104-2 2.398833+0 6.094833-2 2.754229+0 4.895767-2 3.198895+0 3.892058-2 3.715352+0 3.117675-2 4.365158+0 2.474720-2 5.128614+0 1.979406-2 6.095369+0 1.570323-2 7.244360+0 1.254808-2 8.912509+0 9.670226-3 1.071519+1 7.726044-3 1.288250+1 6.208424-3 1.548817+1 5.013318-3 2.065380+1 3.618817-3 2.851018+1 2.539968-3 3.935501+1 1.796865-3 5.821032+1 1.189784-3 9.660509+1 7.046227-4 1.927525+2 3.483357-4 3.845918+2 1.734557-4 1.531087+3 4.334773-5 1.000000+5 6.626100-7 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 1.978000-2 9.450000-4 1.000000+5 9.450000-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.978000-2 9.187800-3 1.000000+5 9.187800-3 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 1.978000-2 9.647200-3 1.000000+5 9.999999+4 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.631500-2 2.498903+4 1.665000-2 2.379576+4 1.720000-2 2.180572+4 1.780000-2 1.981864+4 1.870000-2 1.733812+4 2.300000-2 9.693600+3 2.570396-2 7.043894+3 3.090295-2 4.113510+3 3.890451-2 2.069282+3 4.841724-2 1.063603+3 6.000000-2 5.481480+2 7.500000-2 2.726916+2 1.000000-1 1.098832+2 1.584893-1 2.552006+1 1.972423-1 1.284076+1 2.317395-1 7.792883+0 2.691535-1 4.935551+0 3.090295-1 3.260056+0 3.507519-1 2.244983+0 3.935501-1 1.610320+0 4.415705-1 1.164101+0 4.954502-1 8.481279-1 5.495409-1 6.422313-1 6.095369-1 4.896726-1 6.760830-1 3.760103-1 7.852356-1 2.589204-1 8.511380-1 2.131866-1 9.120108-1 1.816472-1 9.772372-1 1.559089-1 1.047129+0 1.348990-1 1.135011+0 1.147013-1 1.244515+0 9.600096-2 1.380384+0 7.927130-2 1.698244+0 5.474383-2 1.927525+0 4.394147-2 2.187762+0 3.552842-2 2.511886+0 2.839066-2 2.884032+0 2.285489-2 3.349654+0 1.821097-2 3.890451+0 1.462071-2 4.570882+0 1.163120-2 5.370318+0 9.322505-3 6.382635+0 7.410320-3 7.585776+0 5.933192-3 9.332543+0 4.580586-3 1.161449+1 3.516958-3 1.462177+1 2.685196-3 1.995262+1 1.885613-3 2.660725+1 1.372833-3 3.630781+1 9.816459-4 5.370318+1 6.489149-4 8.511380+1 4.024161-4 1.513561+2 2.233706-4 2.630268+2 1.275335-4 5.248075+2 6.361192-5 2.089296+3 1.592201-5 1.000000+5 3.322000-7 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.631500-2 9.328200-4 1.000000+5 9.328200-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.631500-2 5.875200-3 1.000000+5 5.875200-3 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.631500-2 9.506980-3 1.000000+5 9.999999+4 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 5.157900-3 1.334930+4 5.432503-3 1.251233+4 5.559043-3 1.212091+4 5.754399-3 1.162160+4 6.237348-3 1.037801+4 6.800000-3 9.231100+3 7.244360-3 8.397032+3 7.852356-3 7.420656+3 8.500000-3 6.588860+3 9.225714-3 5.772600+3 1.109175-2 4.256194+3 1.230269-2 3.555052+3 1.428894-2 2.726178+3 1.659587-2 2.069183+3 1.862087-2 1.666056+3 2.213095-2 1.192743+3 2.650000-2 8.329060+2 3.162278-2 5.798966+2 3.715352-2 4.135268+2 4.415704-2 2.854695+2 5.188000-2 2.004845+2 6.095369-2 1.398215+2 7.161434-2 9.687486+1 8.511380-2 6.492262+1 1.035142-1 4.090494+1 1.303167-1 2.356283+1 1.621810-1 1.386305+1 2.600160-1 4.382840+0 3.235937-1 2.587266+0 3.890451-1 1.671848+0 4.570882-1 1.149286+0 5.248075-1 8.391449-1 6.025596-1 6.169737-1 6.918310-1 4.569953-1 7.943282-1 3.410516-1 9.015711-1 2.623788-1 1.011579+0 2.082525-1 1.216186+0 1.452178-1 1.364583+0 1.167278-1 1.531087+0 9.444538-2 1.737801+0 7.540341-2 1.972423+0 6.063908-2 2.264644+0 4.817648-2 2.600160+0 3.857055-2 3.000000+0 3.087300-2 3.467369+0 2.482851-2 4.027170+0 1.996622-2 4.731513+0 1.590995-2 5.559043+0 1.277184-2 6.683439+0 1.001582-2 8.035261+0 7.918756-3 9.772372+0 6.213740-3 1.230269+1 4.714903-3 1.500000+1 3.742400-3 2.018366+1 2.671634-3 2.722701+1 1.921455-3 3.758374+1 1.357874-3 5.559043+1 8.982604-4 9.015711+1 5.443049-4 1.798871+2 2.688736-4 3.589219+2 1.338023-4 1.428894+3 3.342289-5 1.000000+5 4.767700-7 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 5.157900-3 9.919600-4 1.000000+5 9.919600-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.157900-3 6.753800-5 1.000000+5 6.753800-5 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.157900-3 4.098402-3 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 4.831600-3 2.151723+4 5.080000-3 2.045460+4 5.350000-3 1.930430+4 6.025596-3 1.661018+4 6.309573-3 1.558160+4 7.000000-3 1.334960+4 7.673615-3 1.157760+4 8.317638-3 1.016185+4 9.549926-3 7.990792+3 1.023293-2 7.058560+3 1.122018-2 5.926931+3 1.273503-2 4.631568+3 1.396368-2 3.840030+3 1.603245-2 2.875757+3 1.778279-2 2.296176+3 2.000000-2 1.768892+3 2.300000-2 1.283970+3 2.570396-2 9.888626+2 2.951209-2 7.094082+2 3.427678-2 4.905894+2 3.981072-2 3.363890+2 4.623810-2 2.288804+2 5.432503-2 1.500069+2 6.456542-2 9.462152+1 7.762471-2 5.743759+1 9.660509-2 3.149617+1 1.288250-1 1.416296+1 1.972423-1 4.327813+0 2.454709-1 2.368297+0 2.917427-1 1.481051+0 3.427678-1 9.624969-1 3.935501-1 6.698024-1 4.466836-1 4.836835-1 5.069907-1 3.517520-1 5.754399-1 2.577687-1 6.456542-1 1.957026-1 7.244360-1 1.496713-1 8.222427-1 1.123979-1 9.015711-1 9.178778-2 9.772372-1 7.735645-2 1.071519+0 6.412169-2 1.188502+0 5.232057-2 1.318257+0 4.299365-2 1.496236+0 3.409499-2 1.717908+0 2.664935-2 1.949845+0 2.141226-2 2.213095+0 1.732602-2 2.540973+0 1.385505-2 2.917427+0 1.116094-2 3.388442+0 8.898515-3 3.935501+0 7.148072-3 4.623810+0 5.689673-3 5.432503+0 4.562729-3 6.531306+0 3.574490-3 7.762471+0 2.864631-3 9.440609+0 2.244962-3 1.174898+1 1.724457-3 1.479108+1 1.317248-3 2.000000+1 9.348500-4 2.691535+1 6.739163-4 3.672823+1 4.819964-4 5.432503+1 3.187110-4 8.609938+1 1.976812-4 1.566751+2 1.071947-4 2.754229+2 6.051859-5 5.495409+2 3.019095-5 2.187762+3 7.557771-6 1.000000+5 1.651300-7 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 4.831600-3 8.863300-4 1.000000+5 8.863300-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.831600-3 1.262400-4 1.000000+5 1.262400-4 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 4.831600-3 3.819030-3 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.036200-3 7.676416+4 4.130000-3 7.420934+4 4.365158-3 6.805279+4 4.677351-3 6.051482+4 5.150000-3 5.124400+4 5.500000-3 4.538520+4 6.165950-3 3.659158+4 6.998420-3 2.861579+4 8.317638-3 2.011240+4 9.015711-3 1.692971+4 1.059254-2 1.189011+4 1.161449-2 9.644231+3 1.333521-2 6.996794+3 1.513561-2 5.163656+3 1.678804-2 4.007306+3 1.950000-2 2.751468+3 2.238721-2 1.927373+3 2.511886-2 1.423350+3 2.851018-2 1.013449+3 3.311311-2 6.726676+2 3.845918-2 4.427033+2 4.466836-2 2.890501+2 5.188000-2 1.873726+2 6.095369-2 1.166088+2 7.328245-2 6.725373+1 9.015711-2 3.589405+1 1.161449-1 1.651647+1 1.819701-1 4.145203+0 2.264644-1 2.127421+0 2.660725-1 1.309872+0 3.090295-1 8.409648-1 3.507519-1 5.818849-1 3.981072-1 4.055935-1 4.466836-1 2.943610-1 5.011872-1 2.151930-1 5.623413-1 1.585099-1 6.237348-1 1.212342-1 6.918310-1 9.338482-2 7.673615-1 7.244205-2 8.709636-1 5.343012-2 9.332543-1 4.554175-2 9.885531-1 4.009216-2 1.059254+0 3.466746-2 1.148154+0 2.948870-2 1.250000+0 2.505202-2 1.380384+0 2.087257-2 1.717908+0 1.413555-2 1.949845+0 1.135245-2 2.213095+0 9.185713-3 2.540973+0 7.344922-3 2.917427+0 5.915900-3 3.388442+0 4.716570-3 3.935501+0 3.788792-3 4.623810+0 3.015790-3 5.432503+0 2.418455-3 6.531306+0 1.894618-3 7.762471+0 1.518363-3 9.549926+0 1.173277-3 1.202264+1 8.893697-4 1.500000+1 6.870500-4 2.018366+1 4.904676-4 2.722701+1 3.527563-4 3.715352+1 2.523613-4 5.432503+1 1.689270-4 8.709636+1 1.035396-4 1.659587+2 5.358067-5 3.054921+2 2.889645-5 1.216186+3 7.210718-6 1.000000+5 8.752900-8 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.036200-3 7.849000-4 1.000000+5 7.849000-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.036200-3 4.069300-5 1.000000+5 4.069300-5 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.036200-3 3.210607-3 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 3.502400-3 1.983273+5 3.672823-3 1.760659+5 4.080000-3 1.342520+5 4.365158-3 1.120157+5 4.897788-3 8.152397+4 5.500000-3 5.882160+4 6.095369-3 4.374817+4 6.683439-3 3.338640+4 7.328245-3 2.532470+4 8.810489-3 1.438316+4 9.800000-3 1.028440+4 1.122018-2 6.679432+3 1.333521-2 3.799761+3 1.496236-2 2.590019+3 1.698244-2 1.690027+3 2.000000-2 9.643680+2 2.344229-2 5.541652+2 2.786121-2 3.005841+2 3.311311-2 1.616312+2 3.981072-2 8.267995+1 4.841724-2 4.023994+1 6.165950-2 1.638586+1 1.216186-1 1.291567+0 1.496236-1 5.986876-1 1.778279-1 3.180694-1 2.000000-1 2.078432-1 2.660725-1 7.632548-2 3.019952-1 4.861792-2 3.388442-1 3.281176-2 3.758374-1 2.320004-2 4.073803-1 1.782124-2 4.518559-1 1.280685-2 5.069907-1 8.942347-3 5.623413-1 6.509002-3 6.237348-1 4.772919-3 6.839117-1 3.648354-3 7.413102-1 2.902535-3 8.511380-1 1.983547-3 9.015711-1 1.703656-3 9.440609-1 1.517040-3 9.885531-1 1.359028-3 1.035142+0 1.225636-3 1.096478+0 1.084820-3 1.161449+0 9.665468-4 1.250000+0 8.406878-4 1.364583+0 7.176750-4 1.531087+0 5.871732-4 1.819701+0 4.328276-4 2.044000+0 3.547711-4 2.344229+0 2.829406-4 2.691535+0 2.269462-4 3.090295+0 1.833401-4 3.589219+0 1.466083-4 4.168694+0 1.180907-4 4.897788+0 9.425325-5 5.821032+0 7.462114-5 6.918310+0 5.951290-5 8.413951+0 4.644197-5 1.023293+1 3.651033-5 1.258925+1 2.851466-5 1.531087+1 2.271137-5 2.065380+1 1.617915-5 2.818383+1 1.149886-5 3.845918+1 8.232518-6 5.688529+1 5.448534-6 9.332543+1 3.263933-6 1.862087+2 1.612927-6 3.715352+2 8.029292-7 1.479108+3 2.006163-7 1.000000+5 2.962400-9 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 3.502400-3 5.777000-4 1.000000+5 5.777000-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.502400-3 1.416300-4 1.000000+5 1.416300-4 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.502400-3 2.783070-3 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 3.338600-3 3.141264+5 3.480000-3 2.813742+5 3.527000-3 2.707503+5 3.890451-3 2.091401+5 4.216965-3 1.676421+5 4.800000-3 1.163982+5 5.432503-3 8.145848+4 6.025596-3 6.001140+4 6.683439-3 4.391657+4 7.328245-3 3.302200+4 8.413951-3 2.144453+4 9.440609-3 1.481908+4 1.059254-2 1.019776+4 1.244515-2 5.972131+3 1.400000-2 4.009686+3 1.584893-2 2.619767+3 1.850000-2 1.526532+3 2.162719-2 8.762814+2 2.540973-2 4.895069+2 3.000000-2 2.662062+2 3.507519-2 1.489063+2 4.120975-2 8.122773+1 5.011872-2 3.859962+1 6.237348-2 1.666674+1 1.148154-1 1.576787+0 1.396368-1 7.451625-1 1.640590-1 4.048272-1 1.883649-1 2.415931-1 2.162719-1 1.452484-1 2.426610-1 9.568999-2 2.722701-1 6.349604-2 3.019952-1 4.420149-2 3.349654-1 3.098317-2 3.672823-1 2.275189-2 4.000000-1 1.720323-2 4.365158-1 1.302888-2 4.786301-1 9.788407-3 5.308844-1 7.149461-3 5.821032-1 5.445956-3 6.309573-1 4.320927-3 6.918310-1 3.342741-3 7.585776-1 2.606005-3 8.709636-1 1.806283-3 9.225714-1 1.560863-3 9.660509-1 1.396499-3 1.011579+0 1.256919-3 1.071519+0 1.110238-3 1.135011+0 9.870800-4 1.216186+0 8.633946-4 1.318257+0 7.443027-4 1.862087+0 4.051726-4 2.089296+0 3.331945-4 2.398833+0 2.655760-4 2.754229+0 2.132755-4 3.162278+0 1.724920-4 3.672823+0 1.380908-4 4.315191+0 1.095506-4 5.069907+0 8.757869-5 6.025596+0 6.944373-5 7.161434+0 5.546483-5 8.810489+0 4.272516-5 1.059254+1 3.411986-5 1.273503+1 2.740854-5 1.531087+1 2.212642-5 2.065380+1 1.576149-5 2.851018+1 1.106291-5 4.000000+1 7.692600-6 5.888437+1 5.120308-6 9.885531+1 2.997305-6 1.972423+2 1.482146-6 3.935501+2 7.381825-7 1.566751+3 1.845026-7 1.000000+5 2.886100-9 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 3.338600-3 5.814800-4 1.000000+5 5.814800-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.338600-3 2.751000-7 1.000000+5 2.751000-7 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.338600-3 2.756845-3 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.310600-3 2.992398+4 1.412538-3 2.765463+4 1.513561-3 2.579636+4 1.611800-3 2.428814+4 1.690000-3 2.304360+4 1.972423-3 1.927435+4 2.264644-3 1.630545+4 2.426610-3 1.490731+4 3.000000-3 1.113894+4 3.311311-3 9.652749+3 3.935501-3 7.449646+3 4.570882-3 5.891337+3 5.159000-3 4.849342+3 6.165950-3 3.605570+3 7.413102-3 2.627503+3 8.912509-3 1.895879+3 1.071519-2 1.355385+3 1.273503-2 9.815104+2 1.513561-2 7.054903+2 1.798871-2 5.034571+2 2.150000-2 3.527100+2 2.570396-2 2.450300+2 3.054921-2 1.710194+2 3.630781-2 1.184749+2 4.315191-2 8.148722+1 5.128614-2 5.562990+1 6.095369-2 3.771673+1 7.328245-2 2.472640+1 9.015711-2 1.524450+1 1.122019-1 9.077724+0 1.303167-1 6.332737+0 2.630268-1 1.143431+0 3.273407-1 6.753325-1 3.935501-1 4.366027-1 4.623810-1 3.002664-1 5.370318-1 2.138009-1 6.165950-1 1.573574-1 7.161434-1 1.137805-1 8.128305-1 8.706960-2 9.225714-1 6.712887-2 1.047129+0 5.217242-2 1.230269+0 3.808669-2 1.380384+0 3.063783-2 1.548817+0 2.480772-2 1.757924+0 1.982091-2 2.018366+0 1.564186-2 2.290868+0 1.267764-2 2.630268+0 1.015622-2 3.019952+0 8.195725-3 3.507519+0 6.546045-3 4.073803+0 5.267056-3 4.786301+0 4.199293-3 5.688529+0 3.321103-3 6.760830+0 2.646201-3 8.128305+0 2.093111-3 9.885531+0 1.643230-3 1.230269+1 1.264376-3 1.500000+1 1.003600-3 2.018366+1 7.164650-4 2.722701+1 5.152846-4 3.715352+1 3.686458-4 5.495409+1 2.438100-4 8.709636+1 1.512509-4 1.659587+2 7.826933-5 3.054921+2 4.221155-5 1.216186+3 1.053311-5 1.000000+5 1.278600-7 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.310600-3 5.483900-4 1.000000+5 5.483900-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.310600-3 5.798600-7 1.000000+5 5.798600-7 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.310600-3 7.616301-4 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.162300-3 2.601651+4 1.278000-3 2.587273+4 1.428894-3 2.511583+4 1.531087-3 2.438600+4 1.678804-3 2.322998+4 1.800000-3 2.226820+4 1.927525-3 2.121517+4 2.113489-3 1.967554+4 2.264644-3 1.845421+4 2.570000-3 1.623700+4 2.754229-3 1.505677+4 3.000000-3 1.360424+4 3.349654-3 1.184923+4 3.650000-3 1.057116+4 4.150000-3 8.817540+3 4.518559-3 7.776362+3 5.069907-3 6.503656+3 5.623413-3 5.502823+3 6.382635-3 4.445914+3 7.079458-3 3.708774+3 8.000000-3 2.972940+3 9.120108-3 2.324766+3 1.035142-2 1.818050+3 1.174898-2 1.410737+3 1.333521-2 1.086461+3 1.513561-2 8.305981+2 1.737801-2 6.146872+2 2.000000-2 4.487360+2 2.290868-2 3.284545+2 2.600160-2 2.439028+2 3.000000-2 1.729556+2 3.487120-2 1.194636+2 4.027170-2 8.324079+1 4.677351-2 5.676525+1 5.495409-2 3.730562+1 6.531306-2 2.360847+1 7.943282-2 1.393935+1 9.885531-2 7.672200+0 1.333521-1 3.356554+0 2.000000-1 1.092290+0 2.754229-1 4.568286-1 3.235937-1 2.964691-1 3.758374-1 1.998735-1 4.265795-1 1.441491-1 4.841724-1 1.046867-1 5.495409-1 7.658242-2 6.237348-1 5.646106-2 6.998420-1 4.310711-2 7.852356-1 3.316193-2 8.709636-1 2.634056-2 9.549926-1 2.161619-2 1.035142+0 1.830753-2 1.148154+0 1.490112-2 1.273503+0 1.221645-2 1.428894+0 9.869405-3 1.659587+0 7.541457-3 1.883649+0 6.047780-3 2.137962+0 4.883987-3 2.454709+0 3.897807-3 2.818383+0 3.134017-3 3.273407+0 2.494119-3 3.801894+0 2.000119-3 4.466836+0 1.589428-3 5.248075+0 1.272659-3 6.237348+0 1.010634-3 7.413102+0 8.083800-4 9.120108+0 6.235330-4 1.109175+1 4.917410-4 1.380384+1 3.797955-4 1.798871+1 2.804991-4 2.213095+1 2.223583-4 3.090295+1 1.544225-4 4.466836+1 1.042308-4 6.606934+1 6.918536-5 1.122018+2 4.010148-5 2.238721+2 1.985736-5 4.466836+2 9.898130-6 1.778279+3 2.475678-6 1.000000+5 4.395800-8 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.162300-3 5.218200-4 1.000000+5 5.218200-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.162300-3 4.453400-7 1.000000+5 4.453400-7 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.162300-3 6.400347-4 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 9.561600-4 1.608201+5 1.000000-3 1.567446+5 1.011579-3 1.554984+5 1.110000-3 1.422576+5 1.210000-3 1.301884+5 1.445440-3 1.058260+5 1.548817-3 9.712196+4 1.737801-3 8.335078+4 1.927525-3 7.197439+4 2.187762-3 5.985365+4 2.400000-3 5.192040+4 2.800000-3 4.057360+4 3.090295-3 3.440998+4 3.548134-3 2.711464+4 4.000000-3 2.186424+4 4.518559-3 1.745641+4 5.248075-3 1.310651+4 5.888437-3 1.043501+4 6.606934-3 8.261248+3 7.585776-3 6.190987+3 8.709636-3 4.598586+3 1.000000-2 3.387032+3 1.150000-2 2.464436+3 1.318257-2 1.791464+3 1.513561-2 1.286877+3 1.737801-2 9.169157+2 1.972423-2 6.672542+2 2.238721-2 4.823927+2 2.540973-2 3.464684+2 2.917427-2 2.397271+2 3.388442-2 1.594816+2 3.935501-2 1.052654+2 4.570882-2 6.893082+1 5.370318-2 4.334211+1 6.309573-2 2.704476+1 7.585776-2 1.564527+1 9.332543-2 8.380498+0 1.188502-1 4.012959+0 1.862087-1 1.015306+0 2.317395-1 5.231646-1 2.754229-1 3.122041-1 3.235937-1 1.943616-1 3.672823-1 1.348626-1 4.120975-1 9.740523-2 4.623810-1 7.088357-2 5.188000-1 5.196092-2 5.754399-1 3.954732-2 6.382635-1 3.030474-2 7.079458-1 2.338704-2 7.852356-1 1.817741-2 8.709636-1 1.417159-2 9.332543-1 1.208357-2 9.885531-1 1.064555-2 1.071519+0 9.001818-3 1.161449+0 7.665584-3 1.258925+0 6.568459-3 1.396368+0 5.430753-3 1.717908+0 3.754256-3 1.949845+0 3.015192-3 2.213095+0 2.439575-3 2.540973+0 1.950730-3 2.917427+0 1.571302-3 3.388442+0 1.252765-3 3.935501+0 1.006330-3 4.623810+0 8.010092-4 5.432503+0 6.423433-4 6.456542+0 5.108374-4 7.673615+0 4.092063-4 9.332543+0 3.205549-4 1.161449+1 2.461221-4 1.462177+1 1.879124-4 1.972423+1 1.336789-4 2.570396+1 9.976861-5 3.507519+1 7.127847-5 5.188000+1 4.708570-5 8.035261+1 2.988403-5 1.333521+2 1.778297-5 2.511886+2 9.349420-6 5.011872+2 4.662472-6 1.995262+3 1.166766-6 1.000000+5 2.324800-8 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 9.561600-4 4.391100-4 1.000000+5 4.391100-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 9.561600-4 3.970300-7 1.000000+5 3.970300-7 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 9.561600-4 5.166530-4 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 7.148100-4 1.928900+5 7.480000-4 2.070406+5 7.673615-4 2.122769+5 7.950000-4 2.158972+5 8.350000-4 2.176886+5 8.850000-4 2.177428+5 9.225714-4 2.165349+5 9.660509-4 2.138339+5 1.011579-3 2.097445+5 1.059254-3 2.045315+5 1.110000-3 1.983960+5 1.171000-3 1.903469+5 1.230269-3 1.821617+5 1.303167-3 1.720471+5 1.380384-3 1.615640+5 1.450000-3 1.523828+5 1.570000-3 1.376528+5 1.659587-3 1.275158+5 1.778279-3 1.150070+5 1.950000-3 9.936400+4 2.089296-3 8.854685+4 2.264644-3 7.674562+4 2.511886-3 6.330549+4 2.691535-3 5.534474+4 2.985383-3 4.482521+4 3.235937-3 3.782741+4 3.548134-3 3.090790+4 3.900000-3 2.495972+4 4.315191-3 1.968014+4 4.731513-3 1.575250+4 5.308844-3 1.181488+4 5.821032-3 9.321824+3 6.456542-3 7.092286+3 7.244360-3 5.189542+3 8.035261-3 3.889176+3 8.912509-3 2.895800+3 1.000000-2 2.070776+3 1.122018-2 1.469380+3 1.273503-2 9.988370+2 1.445440-2 6.731360+2 1.621810-2 4.668774+2 1.819701-2 3.217101+2 2.065380-2 2.120813+2 2.344229-2 1.387755+2 2.691535-2 8.671483+1 3.090295-2 5.378750+1 3.589219-2 3.181738+1 4.216965-2 1.793509+1 5.011872-2 9.629554+0 6.095369-2 4.722600+0 7.943282-2 1.784575+0 1.303167-1 2.877612-1 1.584893-1 1.407331-1 1.883649-1 7.537310-2 2.213400-1 4.236551-2 2.540973-1 2.602716-2 2.884032-1 1.676250-2 3.235937-1 1.131639-2 3.630781-1 7.705138-3 4.027170-1 5.489977-3 4.466836-1 3.939134-3 4.954502-1 2.847962-3 5.495409-1 2.074053-3 6.165950-1 1.469975-3 6.760830-1 1.122735-3 7.328245-1 8.924887-4 8.128305-1 6.676895-4 8.609938-1 5.715249-4 9.120108-1 4.924949-4 9.549926-1 4.397724-4 1.000000+0 3.950660-4 1.059254+0 3.484369-4 1.122018+0 3.094052-4 1.202264+0 2.703264-4 1.303167+0 2.328103-4 1.819701+0 1.291879-4 2.044000+0 1.059067-4 2.344229+0 8.447170-5 2.691535+0 6.775444-5 3.090295+0 5.473442-5 3.589219+0 4.376845-5 4.216965+0 3.468252-5 4.954502+0 2.769604-5 5.888437+0 2.193891-5 7.000000+0 1.750000-5 8.511380+0 1.366695-5 1.035142+1 1.074950-5 1.258925+1 8.512691-6 1.513561+1 6.870366-6 2.041738+1 4.892319-6 2.800000+1 3.457200-6 3.845918+1 2.457714-6 5.688529+1 1.626597-6 9.332543+1 9.744125-7 1.862087+2 4.815246-7 3.715352+2 2.397016-7 1.479108+3 5.988986-8 1.000000+5 8.84370-10 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 7.148100-4 3.542700-4 1.000000+5 3.542700-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 7.148100-4 2.197600-7 1.000000+5 2.197600-7 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 7.148100-4 3.603202-4 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 6.766400-4 3.569826+5 7.413102-4 3.700618+5 7.650000-4 3.708957+5 8.222426-4 3.687408+5 8.609938-4 3.652470+5 9.015711-4 3.595869+5 9.500000-4 3.506784+5 1.000000-3 3.398280+5 1.059254-3 3.257462+5 1.110000-3 3.129210+5 1.174898-3 2.962718+5 1.244515-3 2.785766+5 1.333521-3 2.568811+5 1.462177-3 2.277416+5 1.548817-3 2.100942+5 1.650000-3 1.908972+5 1.800000-3 1.659336+5 1.950000-3 1.449684+5 2.089296-3 1.281256+5 2.317395-3 1.054986+5 2.511886-3 9.004694+4 2.786121-3 7.277484+4 3.019952-3 6.128173+4 3.349654-3 4.869666+4 3.650000-3 3.999594+4 4.073803-3 3.080763+4 4.415704-3 2.528924+4 4.900000-3 1.945704+4 5.370318-3 1.533901+4 5.956621-3 1.164524+4 6.683439-3 8.497887+3 7.413102-3 6.349969+3 8.128305-3 4.874110+3 9.015711-3 3.596856+3 1.023293-2 2.458303+3 1.150000-2 1.716504+3 1.303167-2 1.158173+3 1.462177-2 8.001033+2 1.643000-2 5.461774+2 1.840772-2 3.739616+2 2.065380-2 2.531630+2 2.344229-2 1.636482+2 2.660725-2 1.050293+2 3.054921-2 6.425409+1 3.507519-2 3.902200+1 4.073803-2 2.256595+1 4.786301-2 1.241641+1 5.754399-2 6.224161+0 7.161434-2 2.718300+0 1.202264-1 3.775803-1 1.462177-1 1.802631-1 1.717908-1 9.871990-2 2.000000-1 5.635106-2 2.299100-1 3.396127-2 2.600160-1 2.185555-2 2.884032-1 1.517973-2 3.162278-1 1.104677-2 3.467369-1 8.090387-3 3.801894-1 5.964665-3 4.120975-1 4.595989-3 4.518559-1 3.437211-3 4.954502-1 2.589508-3 5.432503-1 1.965182-3 5.956621-1 1.501629-3 6.456542-1 1.194254-3 6.918310-1 9.866266-4 7.585776-1 7.714217-4 8.317638-1 6.076288-4 9.015711-1 4.946893-4 9.549926-1 4.279921-4 1.000000+0 3.836822-4 1.047129+0 3.463170-4 1.109175+0 3.068481-4 1.174898+0 2.737101-4 1.258925+0 2.403370-4 1.364583+0 2.079455-4 1.531087+0 1.702147-4 1.819701+0 1.254803-4 2.044000+0 1.028403-4 2.344229+0 8.201171-5 2.691535+0 6.578141-5 3.090295+0 5.314289-5 3.589219+0 4.249526-5 4.168694+0 3.422912-5 4.897788+0 2.731986-5 5.821032+0 2.162869-5 6.918310+0 1.724976-5 8.413951+0 1.346174-5 1.011579+1 1.073128-5 1.244515+1 8.377504-6 1.513561+1 6.670631-6 2.041738+1 4.750052-6 2.818383+1 3.332807-6 3.890451+1 2.357248-6 5.688529+1 1.579312-6 9.332543+1 9.460824-7 1.862087+2 4.675157-7 3.715352+2 2.327318-7 1.479108+3 5.814855-8 1.000000+5 8.58660-10 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 6.766400-4 3.477200-4 1.000000+5 3.477200-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 6.766400-4 1.046400-7 1.000000+5 1.046400-7 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 6.766400-4 3.288154-4 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 3.585500-4 5.746885+4 3.587000-4 5.833104+4 3.592000-4 6.020640+4 3.596500-4 6.163860+4 3.601000-4 6.289620+4 3.610000-4 6.497640+4 3.618000-4 6.647700+4 3.630781-4 6.844191+4 3.640000-4 6.956880+4 3.655000-4 7.101900+4 3.705000-4 7.485000+4 3.720000-4 7.648620+4 3.731000-4 7.806960+4 3.743000-4 8.025720+4 3.754000-4 8.275860+4 3.765000-4 8.578200+4 3.777000-4 8.972460+4 3.790000-4 9.480360+4 3.801894-4 1.002340+5 3.815000-4 1.071294+5 3.830000-4 1.162752+5 3.845918-4 1.275474+5 3.865000-4 1.433316+5 3.890451-4 1.685203+5 3.940000-4 2.313744+5 3.965000-4 2.694402+5 3.985000-4 3.023904+5 4.007000-4 3.406404+5 4.030000-4 3.822576+5 4.050000-4 4.194660+5 4.073803-4 4.647316+5 4.090000-4 4.959588+5 4.115000-4 5.447292+5 4.140000-4 5.943084+5 4.168694-4 6.518759+5 4.200000-4 7.154460+5 4.230000-4 7.765740+5 4.260000-4 8.374380+5 4.290000-4 8.975940+5 4.320000-4 9.560820+5 4.350000-4 1.012548+6 4.387000-4 1.079028+6 4.430000-4 1.151274+6 4.470000-4 1.213806+6 4.518559-4 1.284409+6 4.570882-4 1.354201+6 4.630000-4 1.425522+6 4.680000-4 1.480002+6 4.740000-4 1.537272+6 4.800000-4 1.586256+6 4.850000-4 1.620528+6 4.930000-4 1.664784+6 5.011872-4 1.698626+6 5.120000-4 1.730598+6 5.233200-4 1.751046+6 5.350000-4 1.759848+6 5.500000-4 1.755606+6 5.650000-4 1.739328+6 5.821032-4 1.710214+6 6.025596-4 1.665135+6 6.237348-4 1.610993+6 6.500000-4 1.537650+6 6.760830-4 1.461701+6 7.079458-4 1.368088+6 7.413102-4 1.272298+6 7.852356-4 1.152550+6 8.350000-4 1.028106+6 8.810489-4 9.233541+5 9.500000-4 7.866120+5 1.015000-3 6.788880+5 1.071519-3 5.981322+5 1.161449-3 4.912309+5 1.258925-3 4.006729+5 1.350000-3 3.334074+5 1.496236-3 2.519630+5 1.621810-3 2.008892+5 1.800000-3 1.484682+5 1.950000-3 1.170072+5 2.162719-3 8.528299+4 2.350000-3 6.578520+4 2.630268-3 4.587169+4 2.900000-3 3.329946+4 3.198895-3 2.398135+4 3.589219-3 1.617289+4 4.000000-3 1.107114+4 4.415704-3 7.784402+3 4.897788-3 5.347366+3 5.500000-3 3.485334+3 6.165950-3 2.267813+3 6.998420-3 1.396429+3 7.852356-3 8.915829+2 8.810489-3 5.651773+2 9.885531-3 3.558566+2 1.096478-2 2.333321+2 1.258925-2 1.318781+2 1.428894-2 7.762062+1 1.621810-2 4.536869+1 1.862087-2 2.506395+1 2.113489-2 1.445254+1 2.454709-2 7.482951+0 2.917427-2 3.472434+0 3.548134-2 1.442571+0 4.518559-2 4.831588-1 8.222426-2 3.172615-2 1.161449-1 6.666322-3 1.348963-1 3.414041-3 1.513561-1 2.052772-3 1.717908-1 1.182717-3 1.949845-1 6.865422-4 2.213095-1 4.012750-4 2.483133-1 2.480245-4 2.754229-1 1.619285-4 3.054921-1 1.064441-4 3.349654-1 7.375565-5 3.672823-1 5.144855-5 4.027170-1 3.615222-5 4.365158-1 2.672971-5 4.731513-1 1.989027-5 5.128614-1 1.490075-5 5.559043-1 1.124168-5 6.000000-1 8.666785-6 6.531306-1 6.559944-6 7.161434-1 4.887899-6 8.035261-1 3.416113-6 8.511380-1 2.837974-6 8.912509-1 2.459889-6 9.332543-1 2.146540-6 9.660509-1 1.948686-6 1.000000+0 1.778921-6 1.035142+0 1.633911-6 1.071519+0 1.508851-6 1.122018+0 1.366947-6 1.174898+0 1.247337-6 1.244515+0 1.121402-6 1.333521+0 9.937614-7 1.513561+0 8.056954-7 1.905461+0 5.372846-7 2.113489+0 4.508516-7 2.426610+0 3.595904-7 2.786121+0 2.889468-7 3.198895+0 2.338269-7 3.715352+0 1.873047-7 4.365158+0 1.486785-7 5.128614+0 1.189203-7 6.095369+0 9.434091-8 7.244360+0 7.538791-8 8.912509+0 5.809685-8 1.071519+1 4.641632-8 1.288250+1 3.729917-8 1.548817+1 3.011931-8 2.065380+1 2.174089-8 2.851018+1 1.525968-8 3.935501+1 1.079585-8 5.754399+1 7.234368-9 9.440609+1 4.334577-9 1.883649+2 2.142250-9 3.758374+2 1.066553-9 1.496236+3 2.66499-10 1.000000+5 3.98090-12 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 3.585500-4 2.237500-4 1.000000+5 2.237500-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 3.585500-4 7.901700-9 1.000000+5 7.901700-9 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 3.585500-4 1.347921-4 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 3.486900-4 8.247360+4 3.487700-4 8.306240+4 3.492000-4 8.473040+4 3.498000-4 8.664880+4 3.507519-4 8.901187+4 3.518000-4 9.110000+4 3.532000-4 9.330480+4 3.548134-4 9.535473+4 3.598000-4 1.003456+5 3.616000-4 1.028592+5 3.630781-4 1.057495+5 3.643000-4 1.088880+5 3.653000-4 1.120504+5 3.665000-4 1.166288+5 3.677000-4 1.221320+5 3.690000-4 1.292096+5 3.705000-4 1.389160+5 3.720000-4 1.503856+5 3.735000-4 1.637480+5 3.752200-4 1.815765+5 3.770000-4 2.030472+5 3.843000-4 3.253792+5 3.860000-4 3.613608+5 3.880000-4 4.066104+5 3.900000-4 4.544768+5 3.920000-4 5.043608+5 3.940000-4 5.557320+5 3.960000-4 6.082304+5 3.981072-4 6.644420+5 4.007000-4 7.346440+5 4.030000-4 7.977640+5 4.050000-4 8.532320+5 4.080000-4 9.372960+5 4.100000-4 9.937680+5 4.130000-4 1.078712+6 4.165000-4 1.177160+6 4.200000-4 1.273664+6 4.230000-4 1.353800+6 4.265795-4 1.445337+6 4.300000-4 1.528184+6 4.335000-4 1.608048+6 4.370000-4 1.683048+6 4.415704-4 1.774333+6 4.470000-4 1.873688+6 4.530000-4 1.972784+6 4.580000-4 2.046584+6 4.630000-4 2.112288+6 4.700000-4 2.190216+6 4.760000-4 2.244512+6 4.841724-4 2.302024+6 4.930000-4 2.347248+6 5.040000-4 2.385136+6 5.150000-4 2.406448+6 5.260000-4 2.412736+6 5.400000-4 2.402616+6 5.580000-4 2.368920+6 5.754399-4 2.321151+6 5.956621-4 2.253837+6 6.200000-4 2.161888+6 6.500000-4 2.040192+6 6.839116-4 1.899885+6 7.244360-4 1.735321+6 7.650000-4 1.580064+6 8.128305-4 1.411665+6 8.511380-4 1.288320+6 9.015711-4 1.141409+6 9.752800-4 9.600774+5 1.035142-3 8.366173+5 1.110000-3 7.062224+5 1.202264-3 5.779328+5 1.288250-3 4.826381+5 1.412538-3 3.764044+5 1.531087-3 3.007384+5 1.678804-3 2.308331+5 1.819701-3 1.820912+5 2.018366-3 1.330715+5 2.187762-3 1.036868+5 2.454709-3 7.194032+4 2.691535-3 5.330166+4 2.985383-3 3.778046+4 3.349654-3 2.553408+4 3.715352-3 1.780365+4 4.073803-3 1.284954+4 4.570882-3 8.482347+3 5.128614-3 5.552263+3 5.821032-3 3.451907+3 6.531306-3 2.222254+3 7.328245-3 1.419677+3 8.222426-3 9.001585+2 9.225714-3 5.666734+2 1.035142-2 3.543097+2 1.174898-2 2.098155+2 1.333521-2 1.233049+2 1.513561-2 7.193709+1 1.717908-2 4.167454+1 1.972423-2 2.280154+1 2.264644-2 1.237790+1 2.630268-2 6.338095+0 3.126079-2 2.904408+0 3.801894-2 1.189610+0 4.841724-2 3.914557-1 8.222426-2 3.384931-2 1.202264-1 5.921906-3 1.364583-1 3.334152-3 1.513561-1 2.098238-3 1.819701-1 9.332238-4 2.018366-1 5.953166-4 2.238721-1 3.823774-4 2.483133-1 2.475634-4 2.754229-1 1.615045-4 3.162278-1 9.233828-5 3.427678-1 6.707501-5 3.672823-1 5.133710-5 3.890451-1 4.134147-5 4.168694-1 3.211304-5 4.415705-1 2.615335-5 4.731513-1 2.060749-5 5.128614-1 1.572062-5 5.688529-1 1.119188-5 6.025596-1 9.282628-6 6.531306-1 7.082792-6 6.918310-1 5.868572-6 7.328245-1 4.893320-6 7.673615-1 4.258053-6 8.128305-1 3.612758-6 8.609938-1 3.089812-6 9.120108-1 2.660705-6 9.549926-1 2.375792-6 1.000000+0 2.135015-6 1.059254+0 1.884108-6 1.122018+0 1.673465-6 1.202264+0 1.462059-6 1.303167+0 1.258810-6 1.840772+0 6.841922-7 2.065380+0 5.622597-7 2.371374+0 4.478552-7 2.722701+0 3.594467-7 3.126079+0 2.905530-7 3.630781+0 2.324737-7 4.265795+0 1.843200-7 5.011872+0 1.472709-7 5.956621+0 1.167157-7 7.079458+0 9.317644-8 8.709636+0 7.174151-8 1.047129+1 5.726736-8 1.273503+1 4.536926-8 1.531087+1 3.662562-8 2.065380+1 2.609056-8 2.851018+1 1.831307-8 3.935501+1 1.295581-8 5.754399+1 8.681730-9 9.549926+1 5.140680-9 1.905461+2 2.540962-9 3.801894+2 1.265175-9 1.513561+3 3.16159-10 1.000000+5 4.77740-12 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 3.486900-4 2.240900-4 1.000000+5 2.240900-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 3.486900-4 1.301300-7 1.000000+5 1.301300-7 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 3.486900-4 1.244699-4 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 2.947600-4 5.357081+4 4.120975-4 4.313054+4 4.365158-4 4.131743+4 5.300000-4 3.481260+4 5.688529-4 3.249914+4 6.309573-4 2.911693+4 7.079458-4 2.562848+4 7.800000-4 2.284920+4 9.015711-4 1.906661+4 1.000000-3 1.665178+4 1.174898-3 1.337654+4 1.380384-3 1.064178+4 1.603245-3 8.551224+3 1.900000-3 6.627980+3 2.300000-3 4.938020+3 2.754229-3 3.716402+3 3.349654-3 2.709678+3 4.027170-3 1.998269+3 4.841724-3 1.463007+3 5.821032-3 1.063193+3 7.000000-3 7.665460+2 8.413951-3 5.491134+2 1.011579-2 3.904028+2 1.216186-2 2.755773+2 1.462177-2 1.931235+2 1.757924-2 1.343517+2 2.113489-2 9.277563+1 2.540973-2 6.358672+1 3.054921-2 4.324556+1 3.672823-2 2.917884+1 4.415704-2 1.953230+1 5.308844-2 1.297194+1 6.382635-2 8.548040+0 7.673615-2 5.589840+0 9.332543-2 3.532515+0 1.148154-1 2.155637+0 1.531088-1 1.075983+0 2.570396-1 3.039702-1 3.198895-1 1.793829-1 3.845918-1 1.158661-1 4.518559-1 7.961051-2 5.188000-1 5.809432-2 6.000000-1 4.200954-2 6.918310-1 3.082321-2 7.943282-1 2.299975-2 9.015711-1 1.769226-2 1.011579+0 1.404001-2 1.202264+0 1.000995-2 1.348963+0 8.040724-3 1.531087+0 6.367501-3 1.737801+0 5.083776-3 1.972423+0 4.088284-3 2.264644+0 3.247941-3 2.600160+0 2.600315-3 3.000000+0 2.081400-3 3.467369+0 1.673952-3 4.027170+0 1.346167-3 4.731513+0 1.072663-3 5.559043+0 8.610586-4 6.606934+0 6.854312-4 7.943282+0 5.416653-4 9.660509+0 4.248554-4 1.216186+1 3.222117-4 1.500000+1 2.523100-4 2.018366+1 1.801188-4 2.722701+1 1.295466-4 3.758374+1 9.154770-5 5.495409+1 6.129432-5 8.810489+1 3.757680-5 1.698244+2 1.922057-5 3.311311+2 9.783869-6 1.318257+3 2.442728-6 1.000000+5 3.214400-8 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 2.947600-4 2.243000-4 1.000000+5 2.243000-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 2.947600-4 8.800100-9 1.000000+5 8.800100-9 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 2.947600-4 7.045120-5 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.374300-4 1.479976+5 2.386000-4 1.485864+5 2.400000-4 1.482938+5 2.425000-4 1.467176+5 2.454709-4 1.437654+5 2.485000-4 1.397472+5 2.524300-4 1.335947+5 2.580000-4 1.242812+5 2.710000-4 1.046528+5 2.851018-4 8.935760+4 2.930000-4 8.190980+4 3.162278-4 6.581098+4 3.320000-4 5.759380+4 3.430000-4 5.293120+4 3.550000-4 4.869120+4 3.672823-4 4.509349+4 3.801894-4 4.193865+4 3.981072-4 3.833919+4 4.200000-4 3.481620+4 4.415704-4 3.204026+4 4.623810-4 2.987723+4 4.850000-4 2.797460+4 5.150000-4 2.596640+4 5.559043-4 2.382936+4 6.025596-4 2.192178+4 6.700000-4 1.980378+4 9.225714-4 1.475155+4 1.059254-3 1.290020+4 1.202264-3 1.133598+4 1.380384-3 9.768538+3 1.548817-3 8.573937+3 1.757924-3 7.378917+3 2.018366-3 6.215895+3 2.317395-3 5.192056+3 2.650000-3 4.326380+3 3.000000-3 3.629020+3 3.400000-3 3.018680+3 3.845918-3 2.500806+3 4.365158-3 2.046173+3 4.954502-3 1.661857+3 5.623413-3 1.339814+3 6.382635-3 1.072331+3 7.328245-3 8.341165+2 8.317638-3 6.575431+2 9.549926-3 5.033143+2 1.083927-2 3.911248+2 1.230269-2 3.018386+2 1.396368-2 2.313500+2 1.584893-2 1.761317+2 1.819701-2 1.298252+2 2.089296-2 9.495601+1 2.398833-2 6.892711+1 2.754229-2 4.966938+1 3.162278-2 3.553929+1 3.672823-2 2.454052+1 4.265795-2 1.681934+1 5.011872-2 1.110992+1 5.956621-2 7.065472+0 7.161434-2 4.324620+0 9.015711-2 2.318973+0 1.148154-1 1.196453+0 2.041738-1 2.439337-1 2.540973-1 1.341055-1 3.019952-1 8.418064-2 3.548134-1 5.490299-2 4.073803-1 3.832906-2 4.623810-1 2.776042-2 5.248075-1 2.024802-2 5.956621-1 1.488265-2 6.683439-1 1.133125-2 7.498942-1 8.691077-3 8.511380-1 6.544286-3 9.332543-1 5.359906-3 1.011579+0 4.530600-3 1.122018+0 3.681022-3 1.250000+0 2.988200-3 1.396368+0 2.430927-3 1.621810+0 1.855259-3 1.840772+0 1.485944-3 2.089296+0 1.198493-3 2.398833+0 9.552747-4 2.754229+0 7.671526-4 3.162278+0 6.204600-4 3.672823+0 4.967251-4 4.315191+0 3.940604-4 5.069907+0 3.150193-4 6.025596+0 2.497892-4 7.161434+0 1.995120-4 8.810489+0 1.536774-4 1.071519+1 1.210389-4 1.300000+1 9.624000-5 1.548817+1 7.854372-5 2.065380+1 5.669599-5 2.851018+1 3.979350-5 3.981072+1 2.780975-5 5.821032+1 1.864040-5 9.549926+1 1.117076-5 1.905461+2 5.521515-6 3.801894+2 2.749263-6 1.513561+3 6.870028-7 1.000000+5 1.038100-8 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.374300-4 1.879000-4 1.000000+5 1.879000-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.374300-4 1.128800-8 1.000000+5 1.128800-8 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.374300-4 4.951871-5 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 1.894100-4 3.793188+5 2.089296-4 3.304382+5 2.150000-4 3.153768+5 2.213095-4 3.000596+5 2.371374-4 2.719644+5 2.600160-4 2.403521+5 2.730000-4 2.265824+5 2.951209-4 2.083009+5 3.890451-4 1.568124+5 4.518559-4 1.341112+5 5.188000-4 1.152777+5 5.956621-4 9.830395+4 6.760830-4 8.430845+4 7.673615-4 7.181262+4 8.810489-4 5.980713+4 1.011579-3 4.942856+4 1.162000-3 4.053307+4 1.350000-3 3.244900+4 1.584893-3 2.536563+4 1.840772-3 2.000430+4 2.162719-3 1.536770+4 2.511886-3 1.193745+4 2.900000-3 9.301120+3 3.311311-3 7.339752+3 3.758374-3 5.819445+3 4.315191-3 4.486413+3 4.954502-3 3.432181+3 5.623413-3 2.666797+3 6.382635-3 2.058989+3 7.244360-3 1.578902+3 8.317638-3 1.173084+3 9.440609-3 8.874552+2 1.083927-2 6.495494+2 1.244515-2 4.716940+2 1.428894-2 3.398557+2 1.640590-2 2.429472+2 1.883649-2 1.723219+2 2.162719-2 1.212795+2 2.483133-2 8.470306+1 2.851018-2 5.871696+1 3.273407-2 4.040253+1 3.801894-2 2.673435+1 4.415704-2 1.755303+1 5.128614-2 1.144056+1 6.025596-2 7.160281+0 7.161434-2 4.300546+0 8.709636-2 2.393142+0 1.071519-1 1.276530+0 1.883649-1 2.276577-1 2.344229-1 1.174003-1 2.754229-1 7.255851-2 3.198895-1 4.675302-2 3.630781-1 3.245314-2 4.073803-1 2.343935-2 4.570882-1 1.705047-2 5.128614-1 1.249180-2 5.754399-1 9.220724-3 6.382635-1 7.065667-3 7.079458-1 5.452374-3 7.852356-1 4.237606-3 8.709636-1 3.304274-3 9.332543-1 2.817773-3 9.885531-1 2.482622-3 1.071519+0 2.099384-3 1.161449+0 1.787783-3 1.258925+0 1.531903-3 1.396368+0 1.266512-3 1.717908+0 8.755293-4 1.949845+0 7.031617-4 2.213095+0 5.688768-4 2.540973+0 4.548739-4 2.917427+0 3.664055-4 3.388442+0 2.921327-4 3.935501+0 2.346692-4 4.623810+0 1.867870-4 5.432503+0 1.497877-4 6.456542+0 1.191249-4 7.673615+0 9.542393-5 9.332543+0 7.475061-5 1.161449+1 5.739293-5 1.462177+1 4.381960-5 1.972423+1 3.117331-5 2.600160+1 2.297446-5 3.548134+1 1.641782-5 5.248075+1 1.084836-5 8.222427+1 6.805094-6 1.396368+2 3.956869-6 2.540973+2 2.155004-6 5.069907+2 1.074794-6 2.018366+3 2.689665-7 1.000000+5 5.421200-9 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 1.894100-4 1.479200-4 1.000000+5 1.479200-4 1 90000 7 7 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.894100-4 8.315100-9 1.000000+5 8.315100-9 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.894100-4 4.148168-5 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.042300-4 9.049372+5 1.047129-4 1.021310+6 1.053000-4 1.172376+6 1.059254-4 1.348077+6 1.063000-4 1.458556+6 1.068000-4 1.608864+6 1.072000-4 1.730156+6 1.076000-4 1.850740+6 1.080000-4 1.968704+6 1.084000-4 2.082668+6 1.088000-4 2.191076+6 1.093000-4 2.317088+6 1.097000-4 2.409184+6 1.101000-4 2.492364+6 1.105000-4 2.566736+6 1.110000-4 2.646556+6 1.116000-4 2.722888+6 1.122018-4 2.778867+6 1.127000-4 2.810828+6 1.133000-4 2.833232+6 1.140000-4 2.840016+6 1.148154-4 2.826267+6 1.155000-4 2.800684+6 1.163000-4 2.758464+6 1.175000-4 2.678340+6 1.190000-4 2.562904+6 1.210000-4 2.402008+6 1.288250-4 1.852433+6 1.340000-4 1.566044+6 1.380384-4 1.371456+6 1.415000-4 1.221808+6 1.462177-4 1.042272+6 1.659587-4 5.532624+5 1.800000-4 3.712816+5 1.905461-4 2.821184+5 1.990000-4 2.302488+5 2.060000-4 1.971848+5 2.120000-4 1.744652+5 2.176900-4 1.568142+5 2.220000-4 1.455528+5 2.280000-4 1.324040+5 2.330000-4 1.233392+5 2.380000-4 1.157120+5 2.430000-4 1.093008+5 2.483133-4 1.036138+5 2.542400-4 9.841678+4 2.600160-4 9.432064+4 2.660725-4 9.087562+4 2.730000-4 8.781360+4 2.800000-4 8.549480+4 2.884032-4 8.353166+4 2.951209-4 8.247315+4 3.050000-4 8.154360+4 3.162278-4 8.113611+4 3.311311-4 8.124002+4 3.556600-4 8.213826+4 4.027170-4 8.412344+4 4.315191-4 8.474642+4 4.623810-4 8.473516+4 4.954502-4 8.406206+4 5.248075-4 8.297984+4 5.559043-4 8.142836+4 5.956621-4 7.902264+4 6.382635-4 7.610654+4 6.850000-4 7.266320+4 7.328245-4 6.905306+4 7.852356-4 6.513141+4 8.500000-4 6.042720+4 9.225714-4 5.548955+4 1.000000-3 5.062680+4 1.083927-3 4.588895+4 1.190000-3 4.059760+4 1.288250-3 3.635103+4 1.412538-3 3.174541+4 1.548817-3 2.751155+4 1.690000-3 2.386980+4 1.862087-3 2.024021+4 2.070000-3 1.675980+4 2.300000-3 1.377056+4 2.570396-3 1.109056+4 2.851018-3 8.988046+3 3.162278-3 7.226772+3 3.467369-3 5.913529+3 3.845918-3 4.682738+3 4.265795-3 3.679604+3 4.731513-3 2.869617+3 5.248075-3 2.221181+3 5.821032-3 1.706698+3 6.456542-3 1.302134+3 7.161434-3 9.866428+2 8.000000-3 7.280409+2 8.912509-3 5.373407+2 1.000000-2 3.857677+2 1.122018-2 2.748054+2 1.258925-2 1.943057+2 1.412538-2 1.364035+2 1.603245-2 9.169865+1 1.819701-2 6.115381+1 2.065380-2 4.046709+1 2.344229-2 2.656926+1 2.691535-2 1.665674+1 3.090295-2 1.036326+1 3.589219-2 6.149716+0 4.216965-2 3.477994+0 5.011872-2 1.873773+0 6.095369-2 9.215749-1 7.852356-2 3.646622-1 1.333521-1 5.198344-2 1.621810-1 2.546933-2 1.927525-1 1.366827-2 2.264644-1 7.700731-3 2.600160-1 4.742320-3 2.951209-1 3.061901-3 3.311311-1 2.069209-3 3.672823-1 1.463812-3 4.027170-1 1.082975-3 4.466836-1 7.786433-4 5.000000-1 5.481269-4 5.559043-1 3.964281-4 6.165950-1 2.909121-4 6.760830-1 2.224301-4 7.413102-1 1.713260-4 8.511380-1 1.170662-4 9.015711-1 1.004975-4 9.440609-1 8.945481-5 9.885531-1 8.011207-5 1.035142+0 7.223401-5 1.096478+0 6.392423-5 1.161449+0 5.695000-5 1.250000+0 4.953400-5 1.364583+0 4.229224-5 1.531087+0 3.461019-5 1.819701+0 2.551382-5 2.044000+0 2.091000-5 2.344229+0 1.667483-5 2.691535+0 1.337547-5 3.126079+0 1.061900-5 3.630781+0 8.496247-6 4.265795+0 6.736318-6 5.011872+0 5.382289-6 5.956621+0 4.265577-6 7.079458+0 3.405219-6 8.709636+0 2.621939-6 1.047129+1 2.092874-6 1.273503+1 1.658083-6 1.531087+1 1.338571-6 2.065380+1 9.535352-7 2.851018+1 6.692671-7 3.935501+1 4.734764-7 5.754399+1 3.172936-7 9.549926+1 1.878760-7 1.905461+2 9.286416-8 3.801894+2 4.623722-8 1.513561+3 1.155444-8 1.000000+5 1.74600-10 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.042300-4 1.042300-4 1.000000+5 1.042300-4 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.042300-4 0.0 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 9.711000-5 1.482949+6 9.740000-5 1.602246+6 9.795000-5 1.829784+6 9.850000-5 2.071878+6 9.900000-5 2.299956+6 9.940000-5 2.485746+6 9.980000-5 2.671290+6 1.002000-4 2.854578+6 1.007000-4 3.077586+6 1.012000-4 3.290058+6 1.016500-4 3.469392+6 1.020000-4 3.599334+6 1.025000-4 3.768672+6 1.030000-4 3.917064+6 1.035142-4 4.046509+6 1.040200-4 4.150534+6 1.045000-4 4.228080+6 1.050000-4 4.287984+6 1.055000-4 4.327692+6 1.060000-4 4.348956+6 1.065000-4 4.353690+6 1.072000-4 4.336440+6 1.080000-4 4.288800+6 1.090000-4 4.198146+6 1.100000-4 4.084488+6 1.115000-4 3.890976+6 1.135011-4 3.621131+6 1.220000-4 2.649930+6 1.275500-4 2.176581+6 1.318257-4 1.868990+6 1.364583-4 1.581715+6 1.430000-4 1.250142+6 1.566751-4 7.852502+5 1.659587-4 5.900272+5 1.740000-4 4.696176+5 1.800000-4 4.007166+5 1.862087-4 3.438333+5 1.905461-4 3.111716+5 1.950000-4 2.826804+5 2.000000-4 2.558616+5 2.041738-4 2.370297+5 2.089296-4 2.189122+5 2.137962-4 2.034991+5 2.190000-4 1.899516+5 2.240000-4 1.793226+5 2.290868-4 1.705079+5 2.344229-4 1.630591+5 2.400000-4 1.568922+5 2.454709-4 1.521551+5 2.520000-4 1.478676+5 2.580000-4 1.449756+5 2.660725-4 1.423121+5 2.754229-4 1.405489+5 2.851018-4 1.397922+5 2.985383-4 1.399212+5 3.200000-4 1.415436+5 3.630781-4 1.451231+5 3.890451-4 1.462413+5 4.168694-4 1.463197+5 4.430000-4 1.453836+5 4.731513-4 1.433189+5 5.011872-4 1.406884+5 5.308844-4 1.373156+5 5.688529-4 1.323932+5 6.100000-4 1.266744+5 6.531306-4 1.204567+5 7.000000-4 1.136862+5 7.500000-4 1.066938+5 8.035261-4 9.950551+4 8.709636-4 9.109829+4 9.440609-4 8.277947+4 1.035142-3 7.361531+4 1.135011-3 6.489268+4 1.230269-3 5.775401+4 1.364583-3 4.929472+4 1.513561-3 4.168802+4 1.659587-3 3.565216+4 1.800000-3 3.089304+4 1.972423-3 2.613020+4 2.187762-3 2.144830+4 2.426610-3 1.746349+4 2.700000-3 1.401324+4 2.985383-3 1.130303+4 3.311311-3 8.982997+3 3.672823-3 7.085512+3 4.073803-3 5.546052+3 4.518559-3 4.307284+3 5.011872-3 3.319855+3 5.559043-3 2.539440+3 6.165950-3 1.928465+3 6.839116-3 1.454225+3 7.585776-3 1.088921+3 8.511380-3 7.833495+2 9.440609-3 5.783866+2 1.047129-2 4.242732+2 1.174898-2 2.984461+2 1.318257-2 2.083477+2 1.479108-2 1.443869+2 1.659587-2 9.927201+1 1.905461-2 6.282010+1 2.264644-2 3.514408+1 2.511886-2 2.466331+1 2.786121-2 1.716697+1 3.126079-2 1.139455+1 3.548134-2 7.204367+0 4.265795-2 3.660603+0 5.069907-2 1.926936+0 6.237348-2 8.846743-1 8.222426-2 3.104719-1 1.188502-1 7.648152-2 1.445440-1 3.655582-2 1.698244-1 2.003084-2 1.972423-1 1.154096-2 2.238721-1 7.285292-3 2.511886-1 4.825987-3 2.818383-1 3.219607-3 3.162278-1 2.164593-3 3.467369-1 1.585617-3 3.801894-1 1.169370-3 4.073803-1 9.354375-4 4.466836-1 7.000126-4 4.897788-1 5.275401-4 5.432503-1 3.865694-4 5.956621-1 2.953658-4 6.531306-1 2.273803-4 7.079458-1 1.820337-4 7.673615-1 1.466532-4 8.609938-1 1.084496-4 9.120108-1 9.385121-5 9.660509-1 8.179780-5 1.011579+0 7.372940-5 1.071519+0 6.519859-5 1.148154+0 5.668921-5 1.230269+0 4.963806-5 1.333521+0 4.280804-5 1.819701+0 2.472705-5 2.044000+0 2.026900-5 2.344229+0 1.616364-5 2.691535+0 1.296517-5 3.090295+0 1.047453-5 3.589219+0 8.375924-6 4.168694+0 6.746629-6 4.897788+0 5.384755-6 5.821032+0 4.263158-6 6.918310+0 3.400010-6 8.413951+0 2.653307-6 1.011579+1 2.115108-6 1.244515+1 1.651223-6 1.513561+1 1.314826-6 2.041738+1 9.362420-7 2.818383+1 6.569105-7 3.890451+1 4.646112-7 5.754399+1 3.075602-7 9.440609+1 1.842764-7 1.883649+2 9.107746-8 3.758374+2 4.534315-8 1.496236+3 1.133046-8 1.000000+5 1.69240-10 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 9.711000-5 9.711000-5 1.000000+5 9.711000-5 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 9.711000-5 0.0 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.055000-5 2.809460+5 5.120000-5 2.666280+5 5.248075-5 2.386458+5 5.400000-5 2.113120+5 5.559043-5 1.881493+5 5.688529-5 1.725716+5 5.850000-5 1.564546+5 6.000000-5 1.441432+5 6.165950-5 1.328735+5 6.350000-5 1.226244+5 6.531306-5 1.143166+5 6.730000-5 1.067766+5 6.918310-5 1.007964+5 7.161434-5 9.434165+4 7.413102-5 8.878509+4 7.800000-5 8.181840+4 8.222426-5 7.574133+4 8.709636-5 7.011139+4 9.225714-5 6.533496+4 9.800000-5 6.111180+4 1.047129-4 5.725089+4 1.135011-4 5.333311+4 1.364583-4 4.572067+4 1.548817-4 4.081707+4 1.840772-4 3.470696+4 2.041738-4 3.130111+4 2.300000-4 2.757140+4 2.691535-4 2.314667+4 3.054921-4 1.996677+4 3.672823-4 1.594346+4 4.265795-4 1.318419+4 5.128614-4 1.034986+4 6.165950-4 8.053409+3 7.413102-4 6.214693+3 8.912509-4 4.756839+3 1.071519-3 3.613468+3 1.303167-3 2.678561+3 1.640590-3 1.868460+3 2.113489-3 1.247187+3 2.691535-3 8.418543+2 3.388442-3 5.747572+2 4.168694-3 4.048267+2 5.128614-3 2.829869+2 6.237348-3 2.002808+2 7.585776-3 1.406777+2 8.810489-3 1.067541+2 1.059254-2 7.546131+1 1.303167-2 5.066268+1 1.603245-2 3.374953+1 2.000000-2 2.173911+1 2.426610-2 1.468704+1 2.884032-2 1.027466+1 3.349654-2 7.486110+0 3.981072-2 5.157514+0 4.786301-2 3.439125+0 5.754399-2 2.275175+0 6.918310-2 1.493972+0 8.317638-2 9.738782-1 1.023293-1 5.964522-1 1.303167-1 3.338965-1 1.621810-1 1.963463-1 2.540973-1 6.563461-2 3.198895-1 3.766836-2 3.845918-1 2.433029-2 4.518559-1 1.671705-2 5.188000-1 1.219899-2 6.000000-1 8.821500-3 6.918310-1 6.472704-3 7.943282-1 4.829993-3 9.015711-1 3.715179-3 1.000000+0 3.016400-3 1.202264+0 2.102342-3 1.348963+0 1.688652-3 1.531087+0 1.337226-3 1.737801+0 1.067645-3 1.972423+0 8.585872-4 2.264644+0 6.821021-4 2.600160+0 5.460961-4 3.000000+0 4.371200-4 3.467369+0 3.515439-4 4.027170+0 2.827020-4 4.731513+0 2.252653-4 5.559043+0 1.808334-4 6.683439+0 1.418113-4 8.035261+0 1.121179-4 9.772372+0 8.798017-5 1.230269+1 6.675821-5 1.500000+1 5.298800-5 2.018366+1 3.782709-5 2.722701+1 2.720562-5 3.715352+1 1.946311-5 5.495409+1 1.287236-5 8.709636+1 7.985713-6 1.621810+2 4.230479-6 2.917427+2 2.334537-6 1.161449+3 5.823680-7 1.000000+5 6.750600-9 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.055000-5 5.055000-5 1.000000+5 5.055000-5 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.055000-5 0.0 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 3.352000-5 5.462980+6 3.410000-5 5.368020+6 3.480000-5 5.214040+6 3.550000-5 5.038220+6 3.650000-5 4.773440+6 3.780000-5 4.422720+6 3.935501-5 4.019622+6 4.073803-5 3.680925+6 4.265795-5 3.249222+6 4.472100-5 2.838047+6 4.731513-5 2.396256+6 5.128614-5 1.863393+6 6.025596-5 1.118894+6 6.760830-5 7.836495+5 7.762471-5 5.158198+5 1.035142-4 2.177072+5 1.202264-4 1.399099+5 1.350000-4 1.000486+5 1.496236-4 7.483319+4 1.640590-4 5.812129+4 1.800000-4 4.540020+4 1.950000-4 3.693920+4 2.089296-4 3.112075+4 2.238721-4 2.639390+4 2.400000-4 2.252700+4 2.580000-4 1.925240+4 2.754229-4 1.681597+4 2.951209-4 1.468120+4 3.162278-4 1.291689+4 3.388442-4 1.145214+4 3.657200-4 1.010360+4 3.935501-4 9.021599+3 4.265795-4 8.024675+3 4.677351-4 7.079906+3 5.188000-4 6.198685+3 5.821032-4 5.388499+3 7.000000-4 4.347320+3 9.660509-4 3.005602+3 1.174898-3 2.383505+3 1.396368-3 1.928710+3 1.640590-3 1.571421+3 1.927525-3 1.270592+3 2.238721-3 1.035797+3 2.600160-3 8.382769+2 3.000000-3 6.798200+2 3.467369-3 5.456162+2 3.935501-3 4.470566+2 4.518559-3 3.563001+2 5.188000-3 2.817772+2 5.888437-3 2.255896+2 6.760830-3 1.756401+2 7.673615-3 1.386544+2 8.810489-3 1.063958+2 9.885531-3 8.469575+1 1.059254-2 7.324799+1 1.303167-2 4.697396+1 1.364583-2 4.270312+1 1.584893-2 3.195969+1 1.659587-2 2.911893+1 1.798871-2 2.443634+1 1.972423-2 1.982793+1 2.398833-2 1.259349+1 2.754229-2 9.073529+0 3.198895-2 6.311417+0 3.715352-2 4.356186+0 4.315191-2 2.984376+0 5.069907-2 1.970575+0 6.025596-2 1.253077+0 7.244360-2 7.664213-1 8.912509-2 4.372535-1 1.148154-1 2.183514-1 2.041738-1 4.453470-2 2.540973-1 2.448576-2 3.019952-1 1.537090-2 3.548134-1 1.002508-2 4.073803-1 6.998783-3 4.623810-1 5.069081-3 5.248075-1 3.697375-3 5.956621-1 2.717658-3 6.683439-1 2.069088-3 7.498942-1 1.586957-3 8.511380-1 1.195002-3 9.332543-1 9.787809-4 1.011579+0 8.273597-4 1.122018+0 6.722199-4 1.250000+0 5.457000-4 1.396368+0 4.439249-4 1.621810+0 3.387895-4 1.840772+0 2.713483-4 2.089296+0 2.188702-4 2.398833+0 1.744599-4 2.754229+0 1.401015-4 3.162278+0 1.133088-4 3.672823+0 9.071100-5 4.315191+0 7.196208-5 5.069907+0 5.752785-5 6.025596+0 4.561534-5 7.161434+0 3.643337-5 8.810489+0 2.806492-5 1.059254+1 2.241234-5 1.273503+1 1.800379-5 1.531087+1 1.453431-5 2.065380+1 1.035333-5 2.851018+1 7.266896-6 3.935501+1 5.141021-6 5.754399+1 3.445153-6 9.549926+1 2.039906-6 1.905461+2 1.008318-6 3.801894+2 5.020497-7 1.513561+3 1.254548-7 1.000000+5 1.895800-9 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 3.352000-5 3.352000-5 1.000000+5 3.352000-5 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 3.352000-5 0.0 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 2.501000-5 1.186524+7 2.580000-5 1.101068+7 2.660725-5 1.016584+7 2.800000-5 8.835280+6 2.985383-5 7.348849+6 3.198895-5 5.983511+6 3.427678-5 4.840265+6 3.715352-5 3.753113+6 4.677351-5 1.788956+6 5.069907-5 1.388055+6 5.500000-5 1.081708+6 5.900000-5 8.782920+5 6.309573-5 7.244982+5 6.683439-5 6.177824+5 7.079458-5 5.297913+5 7.500000-5 4.568680+5 8.000000-5 3.899612+5 8.511380-5 3.373236+5 9.120108-5 2.891840+5 9.800000-5 2.483144+5 1.047129-4 2.172140+5 1.122018-4 1.901866+5 1.202264-4 1.676978+5 1.288250-4 1.489090+5 1.380384-4 1.330905+5 1.500000-4 1.171268+5 1.659587-4 1.010384+5 1.862087-4 8.604071+4 2.113489-4 7.268362+4 2.570396-4 5.659281+4 3.935501-4 3.307436+4 4.897788-4 2.493893+4 5.821032-4 1.982522+4 6.839116-4 1.590359+4 8.128305-4 1.246710+4 9.660509-4 9.691135+3 1.135011-3 7.605513+3 1.333521-3 5.926525+3 1.566751-3 4.585029+3 1.840772-3 3.521913+3 2.213095-3 2.584078+3 2.600160-3 1.955960+3 3.019952-3 1.499458+3 3.507519-3 1.141062+3 4.073803-3 8.614453+2 4.677351-3 6.598341+2 5.370318-3 5.018063+2 6.165950-3 3.787879+2 7.079458-3 2.838083+2 8.128305-3 2.110404+2 9.332543-3 1.557250+2 1.083927-2 1.111366+2 1.250010-2 7.997461+1 1.428894-2 5.829876+1 1.621810-2 4.291841+1 1.840772-2 3.136437+1 2.113489-2 2.210561+1 2.426610-2 1.545775+1 2.786121-2 1.072791+1 3.198895-2 7.391506+0 3.715352-2 4.898450+0 4.265795-2 3.327168+0 4.954502-2 2.172475+0 5.821032-2 1.362372+0 6.839116-2 8.477193-1 8.317638-2 4.725308-1 1.047129-1 2.355516-1 1.905461-1 3.785076-2 2.344229-1 2.021876-2 2.754229-1 1.249746-2 3.198895-1 8.053266-3 3.630781-1 5.590345-3 4.073803-1 4.037829-3 4.570882-1 2.937425-3 5.128614-1 2.152280-3 5.754399-1 1.588920-3 6.382635-1 1.217703-3 7.079458-1 9.397704-4 7.852356-1 7.305002-4 8.709636-1 5.697714-4 9.332543-1 4.859792-4 9.885531-1 4.282374-4 1.071519+0 3.621796-4 1.161449+0 3.084365-4 1.258925+0 2.642859-4 1.396368+0 2.184867-4 1.717908+0 1.510237-4 1.949845+0 1.212935-4 2.213095+0 9.813478-5 2.540973+0 7.846850-5 2.917427+0 6.320502-5 3.388442+0 5.039213-5 3.935501+0 4.047976-5 4.623810+0 3.222124-5 5.432503+0 2.583847-5 6.456542+0 2.054828-5 7.673615+0 1.646014-5 9.440609+0 1.271346-5 1.174898+1 9.765366-6 1.479108+1 7.459525-6 2.000000+1 5.294100-6 2.691535+1 3.816387-6 3.672823+1 2.729581-6 5.432503+1 1.804811-6 8.609938+1 1.119479-6 1.531087+2 6.214465-7 2.691535+2 3.507641-7 5.370318+2 1.749725-7 2.137962+3 4.379824-8 1.000000+5 9.35150-10 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 2.501000-5 2.501000-5 1.000000+5 2.501000-5 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 2.501000-5 0.0 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.600000+1 0.0 0.0 0.0 5.620000-6 5.145611+6 5.710000-6 5.327960+6 5.900000-6 5.650848+6 6.100000-6 5.964520+6 6.350000-6 6.317648+6 6.606934-6 6.640640+6 6.850000-6 6.911280+6 7.200000-6 7.249096+6 7.500000-6 7.494688+6 7.852356-6 7.730410+6 8.222426-6 7.925658+6 8.609938-6 8.078178+6 9.015711-6 8.183376+6 9.440609-6 8.239554+6 9.930000-6 8.238640+6 1.035142-5 8.186905+6 1.083927-5 8.075661+6 1.135011-5 7.907416+6 1.180000-5 7.723040+6 1.230269-5 7.484683+6 1.273503-5 7.258210+6 1.330000-5 6.938208+6 1.380384-5 6.637237+6 1.445440-5 6.239402+6 1.513561-5 5.824380+6 1.590000-5 5.371000+6 1.678804-5 4.869778+6 1.770000-5 4.394920+6 1.883649-5 3.864471+6 2.018366-5 3.324036+6 2.187762-5 2.766400+6 2.426610-5 2.165812+6 2.754229-5 1.592945+6 3.126079-5 1.162691+6 3.427678-5 9.188752+5 3.715352-5 7.434481+5 4.000000-5 6.083920+5 4.315191-5 4.917265+5 4.650000-5 3.957664+5 5.069907-5 3.052931+5 5.500000-5 2.372944+5 6.025596-5 1.777897+5 6.683439-5 1.271509+5 7.328245-5 9.372654+4 7.852356-5 7.418216+4 8.511380-5 5.605968+4 9.120108-5 4.378060+4 9.800000-5 3.362800+4 1.071519-4 2.402363+4 1.376300-4 9.179378+3 1.462177-4 7.326369+3 1.531087-4 6.207848+3 1.590000-4 5.450056+3 1.640590-4 4.914473+3 1.698244-4 4.410192+3 1.757924-4 3.987939+3 1.819701-4 3.634013+3 1.883649-4 3.336770+3 1.949845-4 3.086903+3 2.000000-4 2.928992+3 2.065380-4 2.769656+3 2.137962-4 2.628070+3 2.213095-4 2.511927+3 2.290868-4 2.417005+3 2.371374-4 2.339860+3 2.454709-4 2.277641+3 2.570396-4 2.213805+3 2.691535-4 2.167491+3 2.851018-4 2.128115+3 3.349654-4 2.052229+3 3.981072-4 1.988890+3 4.315191-4 1.938340+3 4.677351-4 1.876976+3 5.011872-4 1.815794+3 5.432503-4 1.733054+3 5.888437-4 1.641691+3 6.382635-4 1.543398+3 6.918310-4 1.440589+3 7.498942-4 1.335664+3 8.128305-4 1.230003+3 8.810489-4 1.125029+3 9.549926-4 1.022513+3 1.047129-3 9.100578+2 1.148154-3 8.040049+2 1.258925-3 7.051967+2 1.380384-3 6.142086+2 1.513561-3 5.313432+2 1.659587-3 4.566935+2 1.819701-3 3.899921+2 2.018366-3 3.240567+2 2.238721-3 2.671650+2 2.483133-3 2.185832+2 2.754229-3 1.775079+2 3.054921-3 1.432868+2 3.349654-3 1.176510+2 3.672823-3 9.595228+1 4.073803-3 7.568235+1 4.518559-3 5.922403+1 5.011872-3 4.599688+1 5.559043-3 3.546683+1 6.165950-3 2.715305+1 6.839116-3 2.064454+1 7.585776-3 1.558956+1 8.413951-3 1.169407+1 9.440609-3 8.431478+0 1.059254-2 6.031378+0 1.188502-2 4.281497+0 1.333521-2 3.016974+0 1.500000-2 2.094314+0 1.698244-2 1.412457+0 1.949845-2 9.042365-1 2.290868-2 5.336313-1 2.540973-2 3.779973-1 2.851018-2 2.552853-1 3.235937-2 1.645286-1 3.715352-2 1.011007-1 4.677351-2 4.448390-2 5.688529-2 2.196254-2 6.918310-2 1.075904-2 1.318257-1 1.006627-3 1.621810-1 4.731263-4 1.927525-1 2.539049-4 2.264644-1 1.430410-4 2.600160-1 8.808302-5 2.951209-1 5.686826-5 3.311311-1 3.842816-5 3.672823-1 2.718511-5 4.027170-1 2.011487-5 4.466836-1 1.446882-5 5.011872-1 1.011459-5 5.559043-1 7.367495-6 6.165950-1 5.406195-6 6.760830-1 4.135468-6 7.413102-1 3.187457-6 8.511380-1 2.180646-6 9.015711-1 1.872937-6 9.440609-1 1.667669-6 9.885531-1 1.493830-6 1.035142+0 1.347083-6 1.096478+0 1.192229-6 1.161449+0 1.062216-6 1.250000+0 9.239100-7 1.364583+0 7.887592-7 1.531087+0 6.453804-7 1.819701+0 4.757261-7 2.044000+0 3.899300-7 2.344229+0 3.109791-7 2.691535+0 2.494306-7 3.090295+0 2.015008-7 3.589219+0 1.611322-7 4.216965+0 1.276824-7 4.954502+0 1.019603-7 5.888437+0 8.076585-8 7.000000+0 6.442600-8 8.609938+0 4.959725-8 1.035142+1 3.957290-8 1.258925+1 3.133891-8 1.513561+1 2.529304-8 2.041738+1 1.801050-8 2.818383+1 1.263683-8 3.935501+1 8.829226-9 5.754399+1 5.916653-9 9.440609+1 3.545067-9 1.883649+2 1.752084-9 3.758374+2 8.72270-10 1.496236+3 2.17957-10 1.000000+5 3.25580-12 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.600000+1 0.0 0.0 0.0 5.620000-6 5.620000-6 1.000000+5 5.620000-6 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.600000+1 0.0 0.0 0.0 5.620000-6 0.0 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.700000+1 0.0 0.0 0.0 4.980000-6 1.017887+7 4.987000-6 1.022034+7 5.200000-6 1.077569+7 5.420000-6 1.127172+7 5.623413-6 1.166899+7 5.850000-6 1.205160+7 6.165950-6 1.249025+7 6.500000-6 1.284936+7 6.850000-6 1.312824+7 7.244360-6 1.334473+7 7.673615-6 1.347396+7 8.128305-6 1.350627+7 8.609938-6 1.344109+7 9.120108-6 1.327530+7 9.660509-6 1.300637+7 1.020000-5 1.265652+7 1.071519-5 1.225955+7 1.122018-5 1.182255+7 1.180000-5 1.128002+7 1.230269-5 1.078608+7 1.290000-5 1.018218+7 1.350000-5 9.569664+6 1.420000-5 8.866776+6 1.496236-5 8.128594+6 1.570000-5 7.455576+6 1.659587-5 6.699731+6 1.757924-5 5.951853+6 1.883649-5 5.122524+6 2.018366-5 4.377797+6 2.213095-5 3.519708+6 2.454709-5 2.733124+6 2.800000-5 1.965264+6 3.126079-5 1.480819+6 3.427678-5 1.161604+6 3.715352-5 9.330238+5 4.000000-5 7.586484+5 4.315191-5 6.088022+5 4.650000-5 4.867536+5 5.069907-5 3.724319+5 5.500000-5 2.873556+5 6.025596-5 2.134702+5 6.760830-5 1.454404+5 7.500000-5 1.020256+5 8.128305-5 7.695017+4 8.709636-5 6.006985+4 9.500000-5 4.365756+4 1.059254-4 2.897450+4 1.216186-4 1.717207+4 1.303167-4 1.330618+4 1.370000-4 1.113174+4 1.428894-4 9.640541+3 1.480000-4 8.594388+3 1.531087-4 7.739873+3 1.584893-4 7.010742+3 1.640590-4 6.398583+3 1.698244-4 5.882970+3 1.757924-4 5.447611+3 1.819701-4 5.079435+3 1.890300-4 4.738955+3 1.949845-4 4.504513+3 2.000000-4 4.337448+3 2.065380-4 4.174337+3 2.137962-4 4.028998+3 2.213095-4 3.909777+3 2.290868-4 3.812597+3 2.398833-4 3.711369+3 2.511886-4 3.636175+3 2.754229-4 3.516025+3 3.054921-4 3.415696+3 3.672823-4 3.262322+3 4.000000-4 3.174877+3 4.365158-4 3.044785+3 4.731513-4 2.911098+3 5.069907-4 2.785523+3 5.495409-4 2.626096+3 5.956621-4 2.458345+3 6.456542-4 2.285341+3 7.000000-4 2.109828+3 7.585776-4 1.936185+3 8.222426-4 1.765399+3 9.015711-4 1.576838+3 9.885531-4 1.397690+3 1.083927-3 1.229828+3 1.188502-3 1.074434+3 1.303167-3 9.322318+2 1.428894-3 8.035031+2 1.584893-3 6.747143+2 1.757924-3 5.622039+2 1.949845-3 4.647600+2 2.137962-3 3.896215+2 2.371374-3 3.170465+2 2.630268-3 2.559904+2 2.917427-3 2.051404+2 3.235937-3 1.632678+2 3.589219-3 1.290051+2 3.981072-3 1.011679+2 4.415704-3 7.871690+1 4.897788-3 6.078823+1 5.432503-3 4.660225+1 6.025596-3 3.547106+1 6.683439-3 2.680393+1 7.413102-3 2.011291+1 8.222426-3 1.498964+1 9.120108-3 1.109760+1 1.011579-2 8.162531+0 1.135011-2 5.758455+0 1.273503-2 4.031363+0 1.428894-2 2.801386+0 1.584893-2 2.005401+0 1.798871-2 1.322718+0 2.113489-2 7.719908-1 2.398833-2 5.029123-1 2.600160-2 3.808713-1 2.917427-2 2.539418-1 3.311311-2 1.612503-1 3.801894-2 9.748476-2 4.677351-2 4.546086-2 5.688529-2 2.193391-2 6.760830-2 1.144619-2 1.216186-1 1.231817-3 1.479108-1 5.895728-4 1.737801-1 3.234696-4 2.000000-1 1.929800-4 2.264644-1 1.229834-4 2.540973-1 8.154683-5 2.851018-1 5.446685-5 3.198895-1 3.667082-5 3.507519-1 2.690026-5 3.845918-1 1.986893-5 4.120975-1 1.591579-5 4.518559-1 1.192769-5 4.954502-1 9.001772-6 5.432503-1 6.834323-6 5.956621-1 5.225945-6 6.456542-1 4.159961-6 6.998420-1 3.332545-6 7.585776-1 2.687302-6 8.511380-1 1.992587-6 9.015711-1 1.725468-6 9.549926-1 1.504004-6 1.000000+0 1.355000-6 1.059254+0 1.197725-6 1.135011+0 1.040763-6 1.216186+0 9.106062-7 1.333521+0 7.680542-7 1.778279+0 4.610983-7 2.018366+0 3.709686-7 2.317395+0 2.951222-7 2.660725+0 2.365677-7 3.054921+0 1.909955-7 3.548134+0 1.526372-7 4.120975+0 1.228795-7 4.841724+0 9.802357-8 5.754399+0 7.756571-8 6.839116+0 6.183197-8 8.317638+0 4.822950-8 1.011579+1 3.789785-8 1.244515+1 2.958566-8 1.513561+1 2.355807-8 2.041738+1 1.677510-8 2.800000+1 1.185400-8 3.935501+1 8.223563-9 5.754399+1 5.510753-9 9.549926+1 3.262993-9 1.905461+2 1.612913-9 3.801894+2 8.03068-10 1.513561+3 2.00684-10 1.000000+5 3.03240-12 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.700000+1 0.0 0.0 0.0 4.980000-6 4.980000-6 1.000000+5 4.980000-6 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.700000+1 0.0 0.0 0.0 4.980000-6 0.0 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 5.970000-6 9.221320+6 6.237348-6 7.944548+6 6.760830-6 6.001102+6 8.511380-6 2.719545+6 1.023293-5 1.452875+6 1.202264-5 8.447440+5 1.364583-5 5.552494+5 1.513561-5 3.962244+5 1.659587-5 2.955156+5 1.800000-5 2.296520+5 1.950000-5 1.804548+5 2.089296-5 1.476399+5 2.230000-5 1.230404+5 2.371374-5 1.043686+5 2.511886-5 9.008471+4 2.660725-5 7.831502+4 2.818383-5 6.858550+4 2.985383-5 6.050180+4 3.162278-5 5.375049+4 3.350000-5 4.807760+4 3.570000-5 4.284000+4 3.801894-5 3.848646+4 4.073803-5 3.444478+4 4.415704-5 3.047978+4 4.841724-5 2.670882+4 5.432503-5 2.284933+4 6.309573-5 1.881365+4 8.035261-5 1.392277+4 9.885531-5 1.083873+4 1.109175-4 9.486371+3 1.273503-4 8.140991+3 1.513561-4 6.750228+3 1.678804-4 5.997765+3 1.862087-4 5.286086+3 2.162719-4 4.363072+3 2.630268-4 3.364383+3 3.801894-4 2.052474+3 4.216965-4 1.777770+3 6.237348-4 1.021058+3 7.498942-4 7.788485+2 9.440609-4 5.524336+2 1.174898-3 3.947092+2 1.496236-3 2.699544+2 1.927525-3 1.800046+2 2.540973-3 1.147606+2 2.985740-3 8.793360+1 3.467369-3 6.779801+1 5.069907-3 3.530329+1 6.095369-3 2.558623+1 7.413102-3 1.798964+1 9.015711-3 1.255688+1 1.096478-2 8.700772+0 1.333521-2 5.983988+0 1.621810-2 4.083943+0 1.972423-2 2.765256+0 2.371374-2 1.901822+0 2.851018-2 1.298585+0 3.311311-2 9.461426-1 3.981072-2 6.359105-1 4.786301-2 4.241168-1 5.688529-2 2.879899-1 6.839116-2 1.891848-1 8.222426-2 1.233851-1 1.011580-1 7.559892-2 1.288250-1 4.233690-2 1.603245-1 2.490488-2 2.540973-1 8.095766-3 3.162278-1 4.777136-3 3.801894-1 3.085003-3 4.466836-1 2.119383-3 5.128614-1 1.546443-3 5.888437-1 1.136378-3 6.760830-1 8.413409-4 7.673615-1 6.431324-4 8.709636-1 4.949393-4 9.885531-1 3.837104-4 1.202264+0 2.615710-4 1.348963+0 2.100623-4 1.513561+0 1.697794-4 1.717908+0 1.354438-4 1.949845+0 1.088604-4 2.238721+0 8.643745-5 2.570396+0 6.915943-5 2.951209+0 5.573799-5 3.427678+0 4.446527-5 4.000000+0 3.549600-5 4.677351+0 2.846300-5 5.495409+0 2.283692-5 6.606934+0 1.789925-5 7.943282+0 1.414499-5 9.660509+0 1.109481-5 1.216186+1 8.414304-6 1.500000+1 6.588900-6 2.018366+1 4.703743-6 2.722701+1 3.382916-6 3.758374+1 2.390706-6 5.495409+1 1.600658-6 8.810489+1 9.812724-7 1.717908+2 4.960930-7 3.388442+2 2.496391-7 1.348963+3 6.233582-8 1.000000+5 8.39410-10 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 5.970000-6 5.970000-6 1.000000+5 5.970000-6 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 5.970000-6 0.0 1.000000+5 1.000000+5 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 7.733400-7 1.025500+0 1.090210-6 1.025800+0 1.393720-6 1.026100+0 1.748590-6 1.026600+0 2.465110-6 1.027100+0 3.353830-6 1.027500+0 4.200640-6 1.028100+0 5.719090-6 1.028750+0 7.733400-6 1.029500+0 1.058340-5 1.030100+0 1.330990-5 1.031000+0 1.821240-5 1.032000+0 2.491920-5 1.033200+0 3.490750-5 1.034000+0 4.285220-5 1.035300+0 5.816580-5 1.036640+0 7.733400-5 1.038200+0 1.043650-4 1.039700+0 1.355910-4 1.041500+0 1.804020-4 1.043800+0 2.504040-4 1.046400+0 3.483900-4 1.048300+0 4.337550-4 1.051200+0 5.883790-4 1.054080+0 7.733400-4 1.057700+0 1.054110-3 1.061100+0 1.371130-3 1.065100+0 1.815220-3 1.070400+0 2.532420-3 1.076200+0 3.499790-3 1.080600+0 4.370670-3 1.087100+0 5.888740-3 1.093710+0 7.733400-3 1.102600+0 1.072230-2 1.110700+0 1.398420-2 1.120600+0 1.870690-2 1.133300+0 2.601130-2 1.147500+0 3.591440-2 1.158200+0 4.463260-2 1.174100+0 5.965150-2 1.190110+0 7.733400-2 1.205100+0 9.625420-2 1.227500+0 1.288150-1 1.250000+0 1.665000-1 1.265600+0 1.953720-1 1.294900+0 2.552390-1 1.331800+0 3.400170-1 1.362600+0 4.176320-1 1.397000+0 5.104830-1 1.433800+0 6.156220-1 1.477900+0 7.476160-1 1.500000+0 8.157000-1 1.562500+0 1.012900+0 1.641100+0 1.266320+0 1.706900+0 1.478990+0 1.811600+0 1.814120+0 1.937200+0 2.207900+0 2.000000+0 2.402000+0 2.044000+0 2.537000+0 2.163500+0 2.894610+0 2.372600+0 3.486660+0 2.686300+0 4.300170+0 3.000000+0 5.043000+0 3.500000+0 6.122930+0 4.000000+0 7.102000+0 5.000000+0 8.820000+0 6.000000+0 1.030000+1 7.000000+0 1.160000+1 8.000000+0 1.278000+1 9.000000+0 1.386000+1 1.000000+1 1.485000+1 1.100000+1 1.577000+1 1.200000+1 1.663000+1 1.300000+1 1.743000+1 1.400000+1 1.818000+1 1.500000+1 1.888000+1 1.600000+1 1.954000+1 1.800000+1 2.072000+1 2.000000+1 2.178000+1 2.200000+1 2.275000+1 2.400000+1 2.363000+1 2.600000+1 2.443000+1 2.800000+1 2.517000+1 3.000000+1 2.585000+1 4.000000+1 2.861000+1 5.000000+1 3.067000+1 6.000000+1 3.226000+1 8.000000+1 3.461000+1 1.000000+2 3.626000+1 1.500000+2 3.887000+1 2.000000+2 4.042000+1 3.000000+2 4.223000+1 4.000000+2 4.326000+1 5.000000+2 4.394000+1 6.000000+2 4.443000+1 8.000000+2 4.507000+1 1.000000+3 4.549000+1 1.500000+3 4.610000+1 2.000000+3 4.643000+1 3.000000+3 4.679000+1 4.000000+3 4.698000+1 5.000000+3 4.710000+1 6.000000+3 4.719000+1 8.000000+3 4.730000+1 1.000000+4 4.736000+1 1.500000+4 4.746000+1 2.000000+4 4.751000+1 3.000000+4 4.757000+1 4.000000+4 4.760000+1 5.000000+4 4.762000+1 6.000000+4 4.763000+1 8.000000+4 4.764000+1 1.000000+5 4.765000+1 1 90000 7 8 2.320380+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 9.004480-7 2.090400+0 1.222580-6 2.094700+0 1.585270-6 2.099900+0 2.108970-6 2.106600+0 2.933760-6 2.114000+0 4.059230-6 2.119500+0 5.053710-6 2.127900+0 6.853780-6 2.136250+0 9.004480-6 2.147000+0 1.234580-5 2.156900+0 1.603570-5 2.169000+0 2.140060-5 2.184500+0 2.974760-5 2.201800+0 4.115670-5 2.214800+0 5.127800-5 2.234200+0 6.897790-5 2.253680+0 9.004480-5 2.281500+0 1.261240-4 2.307000+0 1.656630-4 2.338200+0 2.227470-4 2.377400+0 3.084780-4 2.410200+0 3.923320-4 2.446800+0 4.990680-4 2.485900+0 6.283540-4 2.532900+0 8.041620-4 2.556430+0 9.004480-4 2.611900+0 1.148180-3 2.660400+0 1.388110-3 2.745300+0 1.857920-3 2.809000+0 2.250060-3 2.904500+0 2.898640-3 3.000000+0 3.618000-3 3.125000+0 4.664820-3 3.234400+0 5.675340-3 3.425800+0 7.640520-3 3.569300+0 9.262740-3 3.784700+0 1.190300-2 4.000000+0 1.474000-2 4.250000+0 1.820700-2 4.625000+0 2.365290-2 5.000000+0 2.931000-2 5.500000+0 3.706700-2 6.000000+0 4.492000-2 6.750000+0 5.659320-2 7.000000+0 6.043000-2 8.000000+0 7.541000-2 9.000000+0 8.971000-2 1.000000+1 1.033000-1 1.100000+1 1.160000-1 1.200000+1 1.281000-1 1.300000+1 1.394000-1 1.400000+1 1.501000-1 1.500000+1 1.603000-1 1.600000+1 1.699000-1 1.800000+1 1.876000-1 2.000000+1 2.037000-1 2.200000+1 2.184000-1 2.400000+1 2.318000-1 2.600000+1 2.442000-1 2.800000+1 2.556000-1 3.000000+1 2.662000-1 4.000000+1 3.097000-1 5.000000+1 3.424000-1 6.000000+1 3.681000-1 8.000000+1 4.064000-1 1.000000+2 4.341000-1 1.500000+2 4.793000-1 2.000000+2 5.074000-1 3.000000+2 5.415000-1 4.000000+2 5.618000-1 5.000000+2 5.757000-1 6.000000+2 5.858000-1 8.000000+2 5.998000-1 1.000000+3 6.091000-1 1.500000+3 6.230000-1 2.000000+3 6.308000-1 3.000000+3 6.394000-1 4.000000+3 6.445000-1 5.000000+3 6.476000-1 6.000000+3 6.498000-1 8.000000+3 6.527000-1 1.000000+4 6.546000-1 1.500000+4 6.571000-1 2.000000+4 6.586000-1 3.000000+4 6.599000-1 4.000000+4 6.609000-1 5.000000+4 6.614000-1 6.000000+4 6.617000-1 8.000000+4 6.621000-1 1.000000+5 6.624000-1 1 90000 7 8 2.320380+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 90000 7 9 2.320380+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 9.000000+1 1.000000+5 9.000000+1 5.000000+5 8.995900+1 8.750000+5 8.990410+1 1.000000+6 8.989100+1 1.375000+6 8.982200+1 1.500000+6 8.979100+1 1.875000+6 8.967540+1 2.000000+6 8.963100+1 2.375000+6 8.948380+1 2.500000+6 8.943000+1 2.875000+6 8.925390+1 3.000000+6 8.919000+1 3.250000+6 8.904740+1 3.625000+6 8.883220+1 4.000000+6 8.860600+1 4.437500+6 8.831960+1 4.812500+6 8.806090+1 5.000000+6 8.792700+1 5.500000+6 8.754090+1 5.875000+6 8.723560+1 6.437500+6 8.676130+1 6.500000+6 8.670500+1 7.000000+6 8.627500+1 7.500000+6 8.582960+1 8.250000+6 8.516310+1 9.000000+6 8.447800+1 1.000000+7 8.354200+1 1.250000+7 8.123900+1 1.500000+7 7.893400+1 1.750000+7 7.667400+1 2.000000+7 7.447100+1 2.375000+7 7.124990+1 2.500000+7 7.021400+1 2.875000+7 6.724810+1 3.000000+7 6.631300+1 3.250000+7 6.450940+1 3.500000+7 6.280030+1 3.625000+7 6.197180+1 4.000000+7 5.958500+1 4.500000+7 5.659530+1 5.000000+7 5.377400+1 5.500000+7 5.109400+1 6.000000+7 4.856300+1 6.750000+7 4.505680+1 7.000000+7 4.397400+1 8.000000+7 4.002400+1 9.000000+7 3.663300+1 1.000000+8 3.368100+1 1.109400+8 3.081830+1 1.125000+8 3.043540+1 1.203100+8 2.858540+1 1.250000+8 2.752700+1 1.359400+8 2.519800+1 1.500000+8 2.254100+1 1.812500+8 1.802040+1 1.875000+8 1.733270+1 1.937500+8 1.670740+1 2.000000+8 1.614100+1 2.125000+8 1.516800+1 2.312500+8 1.400730+1 2.375000+8 1.368190+1 2.500000+8 1.310200+1 2.750000+8 1.211340+1 2.875000+8 1.162370+1 3.000000+8 1.110400+1 3.375000+8 9.525090+0 3.500000+8 9.107400+0 3.875000+8 8.158120+0 4.000000+8 7.833600+0 4.125000+8 7.476070+0 4.234400+8 7.151250+0 4.425800+8 6.591010+0 4.750000+8 5.768530+0 4.784700+8 5.693350+0 4.928200+8 5.410040+0 5.000000+8 5.285900+0 5.179700+8 5.024690+0 5.330100+8 4.846480+0 5.569300+8 4.613830+0 6.000000+8 4.274300+0 7.000000+8 3.623100+0 7.500000+8 3.370100+0 7.750000+8 3.243290+0 8.000000+8 3.108900+0 8.250000+8 2.964580+0 8.468800+8 2.830410+0 8.851600+8 2.607920+0 9.500000+8 2.287920+0 9.712900+8 2.195920+0 1.000000+9 2.080600+0 1.031300+9 1.978400+0 1.074300+9 1.862510+0 1.113800+9 1.775600+0 1.162000+9 1.688510+0 1.224000+9 1.599090+0 1.250000+9 1.567320+0 1.293000+9 1.520270+0 1.396500+9 1.427410+0 1.500000+9 1.351600+0 1.671900+9 1.242360+0 1.789100+9 1.174180+0 1.929700+9 1.096290+0 2.000000+9 1.058400+0 2.139200+9 9.851870-1 2.272600+9 9.182620-1 2.443000+9 8.380710-1 2.602800+9 7.688090-1 2.750000+9 7.100150-1 2.752700+9 7.089880-1 2.959000+9 6.345170-1 3.148200+9 5.737450-1 3.379700+9 5.081800-1 3.582200+9 4.579040-1 3.842200+9 4.017790-1 4.131600+9 3.487810-1 4.348700+9 3.145430-1 4.674400+9 2.706250-1 5.000000+9 2.341000-1 5.375000+9 1.993620-1 5.703100+9 1.741820-1 6.277300+9 1.391620-1 7.031000+9 1.058720-1 8.000000+9 7.690500-2 9.500000+9 4.978410-2 1.00000+10 4.367900-2 1.27030+10 2.366620-2 1.84370+10 9.064250-3 1.00000+11 1.126900-4 1.68570+11 2.934620-5 3.34410+11 5.088780-6 8.62510+11 4.603840-7 2.83020+12 2.323400-8 1.00000+14 3.23610-12 3.16230+15 5.71863-16 1.00000+17 9.66810-20 1 90000 7 0 2.320380+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.35000-11 1.000000+2 1.350000-9 1.000000+3 1.350000-7 1.000000+4 1.350000-5 1.000000+5 1.350000-3 5.000000+5 3.375000-2 8.750000+5 1.033594-1 1.000000+6 1.350000-1 1.375000+6 2.521230-1 1.500000+6 2.986000-1 1.875000+6 4.587610-1 2.000000+6 5.187000-1 2.375000+6 7.160510-1 2.500000+6 7.873000-1 2.875000+6 1.015070+0 3.000000+6 1.095300+0 3.250000+6 1.261070+0 3.625000+6 1.521300+0 4.000000+6 1.792000+0 4.437500+6 2.116310+0 4.812500+6 2.398340+0 5.000000+6 2.540000+0 5.500000+6 2.916480+0 5.875000+6 3.196720+0 6.437500+6 3.611230+0 6.500000+6 3.656630+0 7.000000+6 4.016500+0 7.500000+6 4.367680+0 8.250000+6 4.881320+0 9.000000+6 5.382600+0 1.000000+7 6.039000+0 1.250000+7 7.663400+0 1.500000+7 9.289000+0 1.750000+7 1.088900+1 2.000000+7 1.244600+1 2.375000+7 1.470610+1 2.500000+7 1.544200+1 2.875000+7 1.758440+1 3.000000+7 1.827100+1 3.250000+7 1.958840+1 3.500000+7 2.083740+1 3.625000+7 2.143690+1 4.000000+7 2.313900+1 4.500000+7 2.521340+1 5.000000+7 2.716200+1 5.500000+7 2.905430+1 6.000000+7 3.090900+1 6.750000+7 3.361830+1 7.000000+7 3.449600+1 8.000000+7 3.784200+1 9.000000+7 4.087900+1 1.000000+8 4.358200+1 1.109400+8 4.617520+1 1.125000+8 4.651790+1 1.203100+8 4.815640+1 1.250000+8 4.908600+1 1.359400+8 5.110790+1 1.500000+8 5.351000+1 1.812500+8 5.829140+1 1.875000+8 5.917260+1 1.937500+8 6.002400+1 2.000000+8 6.086000+1 2.125000+8 6.245300+1 2.312500+8 6.466760+1 2.375000+8 6.535970+1 2.500000+8 6.668200+1 2.750000+8 6.905600+1 2.875000+8 7.011680+1 3.000000+8 7.110700+1 3.375000+8 7.364970+1 3.500000+8 7.438100+1 3.875000+8 7.627870+1 4.000000+8 7.683200+1 4.125000+8 7.734970+1 4.234400+8 7.777080+1 4.425800+8 7.847160+1 4.750000+8 7.953020+1 4.784700+8 7.963350+1 4.928200+8 8.005160+1 5.000000+8 8.025700+1 5.179700+8 8.073730+1 5.330100+8 8.111780+1 5.569300+8 8.168970+1 6.000000+8 8.261900+1 7.000000+8 8.436500+1 7.500000+8 8.505990+1 7.750000+8 8.536020+1 8.000000+8 8.565200+1 8.250000+8 8.590560+1 8.468800+8 8.612200+1 8.851600+8 8.645650+1 9.500000+8 8.693290+1 9.712900+8 8.706590+1 1.000000+9 8.724100+1 1.031300+9 8.740380+1 1.074300+9 8.761320+1 1.113800+9 8.778230+1 1.162000+9 8.795600+1 1.224000+9 8.816090+1 1.250000+9 8.823170+1 1.293000+9 8.834580+1 1.396500+9 8.858210+1 1.500000+9 8.878400+1 1.671900+9 8.904620+1 1.789100+9 8.920050+1 1.929700+9 8.935010+1 2.000000+9 8.942100+1 2.139200+9 8.952820+1 2.272600+9 8.960990+1 2.443000+9 8.969750+1 2.602800+9 8.976530+1 2.750000+9 8.981190+1 2.752700+9 8.981270+1 2.959000+9 8.986170+1 3.148200+9 8.989460+1 3.379700+9 8.993230+1 3.582200+9 8.994600+1 3.842200+9 8.996190+1 4.131600+9 8.997840+1 4.348700+9 8.998410+1 4.674400+9 8.998870+1 5.000000+9 8.999300+1 5.375000+9 8.999410+1 5.703100+9 8.999500+1 6.277300+9 8.999640+1 7.031000+9 8.999810+1 8.000000+9 9.000000+1 9.500000+9 9.000000+1 1.00000+10 9.000000+1 1.27030+10 9.000000+1 1.84370+10 9.000000+1 1.00000+11 9.000000+1 1.68570+11 9.000000+1 3.34410+11 9.000000+1 8.62510+11 9.000000+1 2.83020+12 9.000000+1 1.00000+14 9.000000+1 3.16230+15 9.000000+1 1.00000+17 9.000000+1 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.047635-9 1.004743-6 8.278136-8 1.007203-6 1.512069-7 1.009664-6 2.549556-7 1.012125-6 3.968364-7 1.014586-6 5.701802-7 1.017047-6 7.562524-7 1.019508-6 9.259238-7 1.021969-6 1.046496-6 1.024430-6 1.091827-6 1.026891-6 1.051536-6 1.029352-6 9.348639-7 1.031813-6 7.672317-7 1.036735-6 4.064852-7 1.039196-6 2.624127-7 1.041657-6 1.563792-7 1.044117-6 8.602548-8 1.046578-6 4.368469-8 1.049039-6 0.0 1.676476-6 0.0 1.680602-6 7.79591-15 1.684729-6 1.54260-14 1.688855-6 2.81768-14 1.692981-6 4.75099-14 1.697108-6 7.39487-14 1.701234-6 1.06251-13 1.705361-6 1.40924-13 1.709487-6 1.72542-13 1.713614-6 1.95010-13 1.717740-6 2.03457-13 1.721866-6 1.95949-13 1.725993-6 1.74208-13 1.730119-6 1.42970-13 1.738372-6 7.57468-14 1.742499-6 4.88995-14 1.746625-6 2.91406-14 1.750751-6 1.60305-14 1.754878-6 8.14045-15 1.759004-6 0.0 2.165958-6 0.0 2.175287-6 7.240425-1 2.176620-6 8.264218-1 2.181951-6 1.509527+0 2.187283-6 2.545270+0 2.193280-6 4.177550+0 2.202527-6 7.288045+0 2.208608-6 9.243670+0 2.214272-6 1.047559+1 2.219759-6 1.086308+1 2.225315-6 1.034202+1 2.231103-6 8.966157+0 2.239889-6 6.049164+0 2.246259-6 3.968325+0 2.251424-6 2.586712+0 2.256755-6 1.539265+0 2.262003-6 8.522192-1 2.270030-6 2.090188-1 2.272515-6 5.544210-3 2.272582-6 0.0 2.310519-6 0.0 2.320472-6 4.589686-1 2.321894-6 5.238665-1 2.327581-6 9.568851-1 2.333268-6 1.613440+0 2.339666-6 2.648138+0 2.349529-6 4.619872+0 2.356016-6 5.859537+0 2.362058-6 6.640448+0 2.367912-6 6.886075+0 2.373998-6 6.535187+0 2.380004-6 5.685346+0 2.389685-6 3.772309+0 2.396003-6 2.543941+0 2.401818-6 1.624586+0 2.407266-6 9.844252-1 2.413064-6 5.360422-1 2.421062-6 1.556634-1 2.424261-6 0.0 2.676296-6 0.0 2.686177-6 3.261209+0 2.689471-6 4.334489+0 2.696058-6 7.917299+0 2.702646-6 1.334965+1 2.710057-6 2.191078+1 2.721597-6 3.839654+1 2.729407-6 4.887571+1 2.736187-6 5.501270+1 2.743112-6 5.686793+1 2.749824-6 5.407235+1 2.756528-6 4.737607+1 2.766898-6 3.283526+1 2.775107-6 2.128385+1 2.781694-6 1.374011+1 2.788282-6 8.188123+0 2.794869-6 4.504354+0 2.808044-6 5.194652-2 2.813785-6 8.838015-2 2.820677-6 1.614336-1 2.827569-6 2.721992-1 2.834461-6 4.236758-1 2.845660-6 7.327922-1 2.855136-6 9.885471-1 2.862028-6 1.117274+0 2.868920-6 1.165671+0 2.875812-6 1.122655+0 2.882704-6 9.980919-1 2.893041-6 7.199583-1 2.903379-6 4.339772-1 2.910271-6 2.801606-1 2.917163-6 1.669557-1 2.924055-6 9.184370-2 2.932670-6 3.500007-2 2.937838-6 1.161700-7 2.943457-6 1.797538-7 2.950649-6 3.030897-7 2.957841-6 4.717565-7 2.965033-6 6.778266-7 2.972224-6 8.990280-7 2.979416-6 1.100732-6 2.986608-6 1.244068-6 2.993800-6 1.297957-6 3.000992-6 1.250059-6 3.008184-6 1.111360-6 3.015376-6 9.120802-7 3.029759-6 4.832271-7 3.036951-6 3.119546-7 3.044143-6 1.859026-7 3.051335-6 1.022665-7 3.058527-6 5.193208-8 3.065718-6 0.0 3.165778-6 0.0 3.179415-6 7.710476+0 3.181363-6 8.800733+0 3.189155-6 1.607526+1 3.196947-6 2.710509+1 3.205713-6 4.448758+1 3.219365-6 7.796021+1 3.228603-6 9.923709+1 3.237169-6 1.120347+2 3.244774-6 1.154863+2 3.252650-6 1.099531+2 3.260684-6 9.619222+1 3.272951-6 6.666860+1 3.282661-6 4.321466+1 3.290453-6 2.789788+1 3.298245-6 1.662514+1 3.306037-6 9.145625+0 3.317726-6 2.324855+0 3.321622-6 0.0 3.458669-6 0.0 3.467182-6 2.88739-14 3.475695-6 5.71334-14 3.484208-6 1.04359-13 3.492722-6 1.75963-13 3.501235-6 2.73885-13 3.507468-6 3.61430-13 3.524735-6 7.763208-8 3.526168-6 8.826430-8 3.533368-6 2.499987-7 3.542001-6 4.747973-7 3.543800-6 5.316773-7 3.552313-6 8.793140-7 3.560885-6 1.377454-6 3.569564-6 2.018265-6 3.588279-6 3.578725-6 3.605943-6 1.012922-1 3.614775-6 1.850147-1 3.623607-6 3.119569-1 3.632440-6 4.855553-1 3.658936-6 1.132921+0 3.667768-6 1.280448+0 3.676600-6 1.335912+0 3.685432-6 1.286614+0 3.695965-6 1.104443+0 3.720760-6 4.973574-1 3.729593-6 3.210766-1 3.738425-6 1.913387-1 3.747257-6 1.052570-1 3.756089-6 5.345066-2 3.764921-6 0.0 3.921702-6 0.0 3.931355-6 9.49417-15 3.941008-6 1.87864-14 3.950661-6 3.43148-14 3.960313-6 5.78595-14 3.969966-6 9.00578-14 3.979619-6 1.29396-13 3.989272-6 1.71623-13 3.998924-6 2.10129-13 4.006700-6 2.32160-13 4.006817-6 3.049650-5 4.026542-6 1.055555-1 4.036404-6 1.927904-1 4.046266-6 3.250471-1 4.056841-6 5.218227-1 4.085596-6 1.177598+0 4.095578-6 1.339864+0 4.105440-6 1.418367+0 4.115302-6 1.400781+0 4.130096-6 1.242440+0 4.144889-6 1.045821+0 4.154751-6 9.619408-1 4.164614-6 9.357941-1 4.194200-6 1.030076+0 4.211411-6 9.613099-1 4.223671-6 8.337846-1 4.253892-6 3.901363-1 4.263966-6 2.795973-1 4.272850-6 2.139836-1 4.281689-6 1.753145-1 4.291805-6 1.500258-1 4.295072-6 1.478724-1 4.305720-6 1.550195-1 4.312036-6 1.761756-1 4.316993-6 2.007774-1 4.327593-6 2.433689-1 4.338193-6 2.968043-1 4.348792-6 3.695585-1 4.360638-6 4.821787-1 4.392838-6 8.940039-1 4.401790-6 9.837639-1 4.412390-6 1.036350+0 4.422990-6 1.024652+0 4.438454-6 9.019995-1 4.456243-6 6.901758-1 4.458490-6 6.614684-1 4.468201-6 5.868625-1 4.475988-6 5.450399-1 4.480438-6 5.312045-1 4.486587-6 5.280406-1 4.491412-6 5.379890-1 4.501195-6 6.137701-1 4.514394-6 8.206218-1 4.523300-6 1.032100+0 4.549661-6 1.762879+0 4.559409-6 1.966777+0 4.570202-6 2.075875+0 4.580908-6 2.057992+0 4.589396-6 1.986544+0 4.612477-6 2.293398+0 4.623360-6 2.691745+0 4.634592-6 3.495058+0 4.646036-6 4.773673+0 4.679372-6 9.659493+0 4.691381-6 1.086505+1 4.702585-6 1.128400+1 4.714792-6 1.083587+1 4.727524-6 9.539692+0 4.758915-6 5.094269+0 4.769990-6 3.784477+0 4.781161-6 2.775013+0 4.792255-6 2.060185+0 4.813960-6 1.101446+0 4.842064-6 9.150661-1 4.872415-6 7.616088-1 4.925008-6 5.956797-1 4.942374-6 5.726355-1 4.964618-6 5.864084-1 4.978354-6 6.343462-1 4.990328-6 7.051767-1 5.001744-6 7.948942-1 5.041755-6 1.166858+0 5.063648-6 1.284333+0 5.081658-6 1.289266+0 5.109545-6 1.212646+0 5.135002-6 1.428403+0 5.149071-6 1.693845+0 5.161893-6 2.066012+0 5.180039-6 2.786015+0 5.206516-6 3.950092+0 5.219114-6 4.345112+0 5.232503-6 4.509863+0 5.237891-6 4.508835+0 5.250952-6 4.282747+0 5.265979-6 3.755878+0 5.298245-6 2.358652+0 5.311795-6 1.912829+0 5.323948-6 1.629311+0 5.336799-6 1.437930+0 5.361075-6 1.220488+0 5.388204-6 1.374610+0 5.405709-6 1.549900+0 5.420467-6 1.762905+0 5.464471-6 2.580900+0 5.481715-6 2.778287+0 5.498655-6 2.786066+0 5.513302-6 2.673589+0 5.550944-6 2.148952+0 5.562472-6 2.036270+0 5.573921-6 1.977611+0 5.592888-6 2.011049+0 5.635493-6 2.249863+0 5.667877-6 2.294712+0 5.742363-6 2.276231+0 5.932088-6 2.277385+0 6.020092-6 2.360201+0 6.365959-6 2.408146+0 9.120108-6 3.080140+0 1.086516-5 3.321175+0 1.283232-5 3.325715+0 1.553192-5 3.011402+0 1.893162-5 2.462052+0 1.902482-5 4.431001+0 1.907142-5 6.063279+0 1.911801-5 8.542103+0 1.916461-5 1.193477+1 1.930440-5 2.459245+1 1.935100-5 2.747462+1 1.940342-5 2.843226+1 1.945002-5 2.723117+1 1.950016-5 2.393859+1 1.956571-5 1.804243+1 1.964631-5 2.557259+1 1.966203-5 2.723078+1 1.971019-5 3.874065+1 1.976136-5 6.042629+1 1.981007-5 9.000058+1 1.988351-5 1.461381+2 1.995399-5 1.992947+2 2.000694-5 2.246908+2 2.005294-5 2.317123+2 2.010261-5 2.205447+2 2.015227-5 1.932215+2 2.023401-5 1.297669+2 2.028809-5 8.803876+1 2.033625-5 5.762721+1 2.038441-5 3.524327+1 2.043257-5 2.038911+1 2.050481-5 6.839232+0 2.052889-5 2.220843+0 2.248760-5 1.962992+0 2.259830-5 2.257484+0 2.265365-5 2.505398+0 2.270900-5 2.884981+0 2.277819-5 3.566023+0 2.293040-5 5.356712+0 2.298575-5 5.799302+0 2.305221-5 5.927472+0 2.316613-5 5.491373+0 2.326798-5 4.804385+0 2.331917-5 4.679406+0 2.338388-5 4.927081+0 2.345319-5 5.616807+0 2.355293-5 6.897686+0 2.360992-5 7.435214+0 2.366691-5 7.767595+0 2.373498-5 7.708025+0 2.386734-5 6.719746+0 2.392506-5 6.230287+0 2.397510-5 5.947531+0 2.405637-5 5.760986+0 2.425431-5 5.952212+0 2.435484-5 6.131113+0 2.495667-5 5.795139+0 2.617424-5 5.553279+0 2.728443-5 5.191656+0 2.741874-5 1.457315+1 2.748590-5 2.234152+1 2.755725-5 3.513699+1 2.762861-5 5.272073+1 2.782206-5 1.105107+2 2.789784-5 1.248287+2 2.796545-5 1.286352+2 2.802932-5 1.234561+2 2.809978-5 1.085875+2 2.829179-5 5.115595+1 2.835894-5 3.473305+1 2.842610-5 2.264079+1 2.849326-5 1.461145+1 2.862757-5 4.779211+0 3.084040-5 4.178700+0 3.106813-5 4.283583+0 3.121995-5 4.508747+0 3.162602-5 5.438620+0 3.184058-5 5.835458+0 3.212205-5 6.744955+0 3.220771-5 6.869482+0 3.235863-5 6.723728+0 3.260329-5 6.267478+0 3.305816-5 6.235492+0 3.362110-5 6.265485+0 3.508060-5 5.843736+0 4.241310-5 4.214765+0 4.665308-5 3.499517+0 4.714624-5 3.592693+0 4.772544-5 3.887933+0 4.806779-5 3.823498+0 4.864872-5 3.349359+0 4.912641-5 3.278279+0 4.976656-5 3.267342+0 5.437738-5 2.679115+0 5.985272-5 2.186010+0 6.655490-5 1.769795+0 7.372800-5 1.462591+0 8.268580-5 1.196624+0 8.548470-5 1.131608+0 8.590552-5 2.858903+0 8.611593-5 4.289588+0 8.627720-5 5.952986+0 8.637329-5 1.500066+1 8.670192-5 4.674932+1 8.691428-5 7.911676+1 8.712664-5 1.259731+2 8.736776-5 1.978750+2 8.785181-5 3.658572+2 8.802277-5 4.167222+2 8.825409-5 4.572900+2 8.846227-5 4.618442+2 8.867211-5 4.331377+2 8.887962-5 3.774199+2 8.946260-5 1.713005+2 8.967496-5 1.103865+2 8.988732-5 6.615482+1 9.009968-5 3.685754+1 9.036513-5 1.468397+1 9.052440-5 1.031314+0 9.198442-5 1.006112+0 9.249944-5 1.172208+0 9.254649-5 1.195873+0 9.300207-5 2.572691+1 9.322986-5 4.598145+1 9.347189-5 7.920060+1 9.369959-5 1.216183+2 9.423184-5 2.425808+2 9.443146-5 2.827490+2 9.466811-5 3.121577+2 9.488306-5 3.183327+2 9.510704-5 3.012793+2 9.535403-5 2.595127+2 9.598791-5 1.166879+2 9.620693-5 7.704732+1 9.642579-5 4.765244+1 9.664673-5 2.780253+1 9.708047-5 4.120108+0 9.710231-5 2.905262+0 9.855751-5 3.839111+0 9.928990-5 4.569569+0 9.980249-5 5.324558+0 1.007625-4 6.999272+0 1.012426-4 7.400420+0 1.025100-4 7.386797+0 1.038287-4 8.122871+0 1.073000-4 1.010454+1 1.098000-4 1.098582+1 1.122913-4 1.125993+1 1.157000-4 1.084490+1 1.293461-4 7.786891+0 1.388958-4 6.117908+0 1.491432-4 4.725016+0 1.591957-4 3.729816+0 1.679757-4 3.094944+0 1.778045-4 2.576181+0 1.839171-4 2.384083+0 1.852981-4 2.485914+0 1.879924-4 3.043015+0 1.890300-4 3.126164+0 2.089785-4 2.635696+0 2.244295-4 2.399050+0 2.264844-4 2.393070+0 2.282161-4 2.506688+0 2.294259-4 2.700129+0 2.310500-4 3.051991+0 2.321500-4 3.161821+0 2.333632-4 3.056948+0 2.355204-4 2.773377+0 2.757539-4 2.567738+0 2.869166-4 2.568603+0 2.906021-4 2.723735+0 2.938022-4 2.840690+0 3.034988-4 2.775848+0 3.351188-4 2.835402+0 3.376372-4 3.003809+0 3.392559-4 3.256362+0 3.425813-4 3.929001+0 3.433856-4 3.985701+0 3.452741-4 3.890132+0 3.476309-4 3.700957+0 3.493304-4 3.820338+0 3.522191-4 4.204943+0 3.536243-4 4.232795+0 3.578115-4 3.798855+0 3.611109-4 3.740373+0 3.714375-4 4.136644+0 3.765000-4 4.507155+0 3.824375-4 5.207267+0 3.892472-4 6.403249+0 3.974987-4 8.337798+0 4.128981-4 1.278309+1 4.392852-4 2.079664+1 4.609977-4 2.613561+1 4.817611-4 2.994007+1 5.132585-4 3.360180+1 5.500000-4 3.586504+1 6.109585-4 3.692272+1 6.517822-4 3.665681+1 6.565515-4 3.836657+1 6.608476-4 4.258157+1 6.657551-4 4.824751+1 6.683439-4 4.910048+1 6.716136-4 4.704641+1 6.776465-4 4.112895+1 6.839116-4 3.925384+1 6.924161-4 4.008700+1 6.986928-4 4.306892+1 7.039148-4 4.611823+1 7.079598-4 4.596876+1 7.173232-4 4.150247+1 7.245688-4 4.082683+1 9.066858-4 3.669016+1 9.378460-4 3.617055+1 9.561800-4 3.756925+1 1.144705-3 3.264274+1 1.307805-3 2.957440+1 1.680979-3 2.312381+1 2.001838-3 1.905300+1 2.364808-3 1.567871+1 2.792644-3 1.279675+1 3.249293-3 1.057486+1 3.265558-3 1.169545+1 3.273625-3 1.268429+1 3.281692-3 1.423327+1 3.289710-3 1.640716+1 3.321783-3 2.831951+1 3.329802-3 3.032585+1 3.337820-3 3.131916+1 3.349080-3 3.099219+1 3.386161-3 2.589385+1 3.409247-3 2.433335+1 3.434789-3 2.564116+1 3.451818-3 2.803670+1 3.485487-3 3.563015+1 3.502100-3 3.741299+1 3.520452-3 3.655787+1 3.559970-3 3.301573+1 3.591262-3 3.210544+1 3.966931-3 2.783051+1 4.015300-3 2.898899+1 4.066696-3 3.059064+1 4.737228-3 2.469931+1 4.889228-3 2.495485+1 5.111643-3 2.359964+1 5.266628-3 2.340809+1 6.104147-3 1.894608+1 7.117766-3 1.510792+1 8.222426-3 1.216751+1 9.203089-3 1.024585+1 1.045704-2 8.417238+0 1.191928-2 6.861593+0 1.339249-2 5.713931+0 1.540122-2 4.576030+0 1.592593-2 4.351919+0 1.603936-2 4.454186+0 1.611365-2 4.765767+0 1.617490-2 5.289016+0 1.624576-2 6.221010+0 1.638381-2 8.347828+0 1.647938-2 9.276365+0 1.661047-2 9.657663+0 1.936056-2 7.550494+0 1.954345-2 7.680046+0 1.969605-2 8.322807+0 1.989183-2 9.474062+0 2.005879-2 9.890713+0 2.032313-2 1.008038+1 2.065997-2 1.081544+1 2.113489-2 1.065364+1 2.462152-2 8.424546+0 2.834653-2 6.753046+0 3.255204-2 5.408084+0 3.651433-2 4.486135+0 4.076552-2 3.745691+0 4.573349-2 3.096817+0 5.177417-2 2.517149+0 5.864835-2 2.040969+0 6.611762-2 1.665667+0 7.463950-2 1.355936+0 8.368619-2 1.114515+0 9.352122-2 9.215789-1 1.064413-1 7.382749-1 1.076914-1 7.330248-1 1.082203-1 7.633510-1 1.085929-1 8.282602-1 1.089119-1 9.341294-1 1.091936-1 1.078187+0 1.095783-1 1.354941+0 1.106343-1 2.322853+0 1.111312-1 2.652773+0 1.117292-1 2.852601+0 1.126534-1 2.909394+0 1.308622-1 2.317772+0 1.496650-1 1.875850+0 1.685343-1 1.555068+0 1.904638-1 1.280931+0 2.147972-1 1.059203+0 2.427660-1 8.736214-1 2.714876-1 7.343527-1 3.068451-1 6.090677-1 3.483624-1 5.044149-1 3.975347-1 4.165141-1 4.553955-1 3.447204-1 5.180803-1 2.902431-1 5.905409-1 2.455657-1 6.719605-1 2.099881-1 7.733898-1 1.786104-1 9.002746-1 1.514025-1 1.120601+0 1.197743-1 1.286622+0 1.023201-1 1.480139+0 8.722322-2 1.696098+0 7.467159-2 1.947381+0 6.379002-2 2.235892+0 5.449417-2 2.567148+0 4.655296-2 2.947480+0 3.976899-2 3.384160+0 3.397363-2 3.885536+0 2.902279-2 4.461192+0 2.479342-2 5.122134+0 2.118038-2 5.880996+0 1.809386-2 6.801197+0 1.533561-2 8.118035+0 1.252924-2 9.320751+0 1.070341-2 9.760024+0 1.015597-2 1.000000+1 2.117790-2 1 90000 7 0 2.320380+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-8.965767+1 2.055998-6-8.674316+1 2.163658-6-8.362767+1 2.197945-6-8.026182+1 2.214272-6-8.433703+1 2.229416-6-8.978086+1 2.246259-6-8.756765+1 2.271861-6-8.962551+1 2.347130-6-8.360294+1 2.384540-6-8.983688+1 2.419995-6-8.895141+1 2.615879-6-7.994613+1 2.660402-6-7.396440+1 2.676296-6-6.836880+1 2.704910-6-5.412754+1 2.712578-6-5.286994+1 2.719166-6-5.473453+1 2.726216-6-6.062277+1 2.735583-6-7.455888+1 2.743956-6-9.005472+1 2.751118-6-7.713810+1 2.759272-6-6.596231+1 2.766898-6-6.021746+1 2.775107-6-5.918872+1 2.785400-6-6.280627+1 2.816800-6-7.860191+1 2.848244-6-8.477404+1 2.937838-6-8.981250+1 3.077835-6-7.977252+1 3.125421-6-7.233362+1 3.149930-6-6.487546+1 3.162899-6-5.769673+1 3.171174-6-5.003592+1 3.181363-6-4.197696+1 3.190129-6-3.371128+1 3.197921-6-2.740874+1 3.204739-6-2.435495+1 3.207418-6-2.384139+1 3.212531-6-2.514171+1 3.216488-6-2.786740+1 3.220324-6-3.250339+1 3.225650-6-4.153615+1 3.232255-6-5.766901+1 3.236030-6-6.892973+1 3.243013-6-8.996830+1 3.247617-6-7.435786+1 3.254205-6-5.371424+1 3.260684-6-3.703659+1 3.264979-6-2.882213+1 3.268051-6-2.393727+1 3.271033-6-2.043211+1 3.273910-6-1.810816+1 3.278278-6-1.633985+1 3.281565-6-1.610096+1 3.288505-6-1.869730+1 3.297393-6-2.558568+1 3.308716-6-3.620126+1 3.321135-6-4.604852+1 3.326381-6-5.096125+1 3.340249-6-5.795135+1 3.363946-6-6.472067+1 3.412714-6-7.185483+1 3.507468-6-7.794310+1 3.667768-6-8.221136+1 3.793093-6-8.333620+1 4.105440-6-8.628835+1 4.316993-6-8.717035+1 4.523300-6-8.957049+1 4.627090-6-9.044474+1 4.669191-6-9.022000+1 4.679372-6-9.104913+1 4.737792-6-8.155292+1 4.781161-6-8.156927+1 4.904377-6-8.560127+1 5.206516-6-8.854439+1 5.298245-6-8.543278+1 5.464471-6-8.771171+1 5.852016-6-8.727896+1 1.350316-5-8.779099+1 1.657667-5-8.171298+1 1.782066-5-7.523372+1 1.845790-5-6.770761+1 1.877217-5-6.040402+1 1.892321-5-5.413691+1 1.917626-5-3.792318+1 1.924616-5-3.570396+1 1.930440-5-3.602727+1 1.941444-5-3.951073+1 1.946022-5-3.970538+1 1.950835-5-3.721241+1 1.953748-5-3.340829+1 1.955777-5-2.920833+1 1.957167-5-2.458556+1 1.957903-5-2.259764+1 1.963059-5-1.052765+1 1.964631-5-6.437585+0 1.965417-5-4.184542+0 1.965810-5-2.936778+0 1.966203-5-1.451511+0 1.966805-5 7.340264-1 1.969966-5 1.015195+1 1.970492-5 1.188633+1 1.971320-5 1.529187+1 1.976700-5 3.108103+1 1.977688-5 3.313169+1 1.981676-5 3.904596+1 1.983724-5 3.893533+1 1.986848-5 3.533733+1 1.988351-5 3.164218+1 1.989800-5 2.651789+1 1.991486-5 1.855239+1 1.992393-5 1.388885+1 1.993067-5 1.011427+1 1.993575-5 7.056251+0 1.994336-5 2.030235+0 1.994717-5-7.612659-1 1.994908-5-2.273881+0 1.995399-5-6.635709+0 1.998221-5-2.902350+1 1.999438-5-4.010580+1 2.000694-5-5.386181+1 2.004169-5-8.783997+1 2.005808-5-6.876554+1 2.009367-5-3.368392+1 2.009988-5-2.642325+1 2.010774-5-1.890105+1 2.011222-5-1.493352+1 2.014362-5 1.093041+1 2.014663-5 1.361676+1 2.015227-5 1.790488+1 2.016585-5 2.676532+1 2.019178-5 4.074381+1 2.020833-5 4.785289+1 2.023401-5 5.503385+1 2.026100-5 5.842044+1 2.028132-5 5.880786+1 2.032421-5 5.348619+1 2.037914-5 3.962351+1 2.043859-5 2.127722+1 2.044912-5 1.834330+1 2.050481-5 4.830595+0 2.051685-5 1.534269+0 2.052287-5-3.397635-1 2.052588-5-1.397747+0 2.053167-5-3.927927+0 2.053722-5-5.793727+0 2.054824-5-8.837130+0 2.055908-5-1.139556+1 2.058026-5-1.565971+1 2.060094-5-1.919777+1 2.064039-5-2.481399+1 2.069506-5-3.096942+1 2.079136-5-3.901904+1 2.091714-5-4.642146+1 2.111968-5-5.441300+1 2.142436-5-6.194621+1 2.197901-5-7.001786+1 2.287505-5-7.925612+1 2.326798-5-7.883861+1 2.355293-5-8.102031+1 2.392506-5-7.917980+1 2.606814-5-8.825003+1 2.624334-5-8.771861+1 2.680847-5-7.893451+1 2.709416-5-7.007153+1 2.723640-5-6.176402+1 2.728653-5-5.630371+1 2.741874-5-4.273852+1 2.749797-5-3.340932+1 2.756512-5-2.671316+1 2.762861-5-2.330409+1 2.765432-5-2.327101+1 2.769577-5-2.498881+1 2.772974-5-2.841935+1 2.775453-5-3.234039+1 2.780044-5-4.198114+1 2.782588-5-4.950996+1 2.787888-5-6.655458+1 2.793227-5-8.741731+1 2.798765-5-6.429810+1 2.802526-5-4.933290+1 2.804362-5-4.235307+1 2.809978-5-2.402493+1 2.812172-5-1.838702+1 2.814636-5-1.330692+1 2.815812-5-1.123466+1 2.817575-5-8.494775+0 2.819339-5-6.141468+0 2.820569-5-4.735947+0 2.822722-5-2.808456+0 2.824336-5-1.783806+0 2.825546-5-1.261550+0 2.827363-5-9.234884-1 2.828271-5-1.004821+0 2.832536-5-2.929473+0 2.834215-5-3.881861+0 2.835055-5-4.524611+0 2.836734-5-6.414330+0 2.841141-5-1.045009+1 2.842610-5-1.228031+1 2.851634-5-2.262320+1 2.861078-5-3.159129+1 2.864367-5-3.602631+1 2.869759-5-4.064802+1 2.881185-5-4.698301+1 2.901801-5-5.380756+1 2.939140-5-6.052439+1 3.013830-5-6.695011+1 3.162602-5-7.326031+1 5.593481-5-8.123135+1 6.190436-5-8.457068+1 7.079458-5-7.729704+1 7.565582-5-6.930796+1 7.857610-5-6.092646+1 8.048152-5-5.229980+1 8.168574-5-4.441439+1 8.268580-5-3.542965+1 8.320129-5-2.942789+1 8.371900-5-2.207880+1 8.413284-5-1.484634+1 8.430182-5-1.144311+1 8.444968-5-8.204282+0 8.457906-5-5.142411+0 8.469226-5-2.265411+0 8.479132-5 4.218440-1 8.496582-5 5.601470+0 8.509467-5 9.847883+0 8.519218-5 1.334869+1 8.533844-5 1.916041+1 8.548470-5 2.592086+1 8.569511-5 3.710312+1 8.590552-5 5.065070+1 8.606333-5 6.338146+1 8.621672-5 7.961089+1 8.627720-5 8.892671+1 8.637329-5 1.030199+2 8.670192-5 1.412314+2 8.694082-5 1.726336+2 8.719964-5 1.982638+2 8.736776-5 2.050407+2 8.751017-5 1.994891+2 8.765695-5 1.824393+2 8.777254-5 1.604500+2 8.794304-5 1.132409+2 8.800130-5 9.269671+1 8.802277-5 8.321597+1 8.814606-5 3.579818+1 8.817842-5 2.232898+1 8.819922-5 1.298185+1 8.820963-5 7.933800+0 8.821483-5 5.228151+0 8.822003-5 2.169302+0 8.822332-5 1.600222-1 8.822979-5-3.291216+0 8.824233-5-9.453510+0 8.827613-5-2.484348+1 8.840014-5-7.985968+1 8.841549-5-8.727891+1 8.845651-5-6.484207+1 8.852068-5-3.612129+1 8.858077-5-1.085267+1 8.861081-5 2.015443+0 8.862583-5 8.773888+0 8.863709-5 1.424931+1 8.864742-5 1.991294+1 8.867211-5 3.095268+1 8.871410-5 4.741853+1 8.887962-5 1.054287+2 8.898224-5 1.320457+2 8.911781-5 1.564251+2 8.923162-5 1.695600+2 8.936516-5 1.767317+2 8.946260-5 1.743984+2 8.965620-5 1.596097+2 8.988732-5 1.288232+2 9.017268-5 8.734470+1 9.044477-5 5.429138+1 9.051445-5 4.370299+1 9.053669-5 3.899182+1 9.055974-5 3.520899+1 9.063031-5 2.581825+1 9.067568-5 2.064266+1 9.072105-5 1.588784+1 9.077593-5 1.056316+1 9.085825-5 3.245721+0 9.094057-5-3.456766+0 9.099545-5-7.655509+0 9.109149-5-1.458871+1 9.127156-5-2.652853+1 9.217835-5-8.105342+1 9.228538-5-8.844321+1 9.249944-5-7.074129+1 9.261150-5-5.764420+1 9.298533-5-2.441067+1 9.300207-5-2.243083+1 9.322986-5 2.569663-1 9.324410-5 2.041616+0 9.327079-5 4.747337+0 9.345765-5 2.068007+1 9.347189-5 2.220179+1 9.349858-5 2.432397+1 9.354530-5 2.723252+1 9.369959-5 3.489496+1 9.375268-5 3.617776+1 9.380085-5 3.612534+1 9.387988-5 3.420741+1 9.394039-5 3.135323+1 9.399004-5 2.813053+1 9.405466-5 2.270039+1 9.409635-5 1.836283+1 9.411719-5 1.588991+1 9.420626-5 3.475368+0 9.423184-5-2.857709-1 9.427661-5-7.327787+0 9.431026-5-1.309254+1 9.435425-5-2.141057+1 9.440029-5-3.159525+1 9.443146-5-3.997546+1 9.458593-5-7.764070+1 9.462792-5-8.915523+1 9.468281-5-7.175296+1 9.482169-5-3.266836+1 9.485417-5-2.207835+1 9.486233-5-1.873042+1 9.488306-5-1.171342+1 9.490788-5-4.192554+0 9.492991-5 2.128344+0 9.506679-5 4.000716+1 9.510704-5 5.303910+1 9.516054-5 6.690912+1 9.535403-5 1.096015+2 9.546561-5 1.281378+2 9.565142-5 1.480599+2 9.581569-5 1.571646+2 9.595561-5 1.580340+2 9.620693-5 1.448175+2 9.642579-5 1.267132+2 9.669276-5 1.020046+2 9.708047-5 7.144917+1 9.714319-5 6.423374+1 9.728219-5 5.385905+1 9.745498-5 4.431127+1 9.769762-5 3.390173+1 9.784767-5 2.861083+1 9.802057-5 2.327194+1 9.832083-5 1.545543+1 9.855751-5 1.024524+1 9.874082-5 6.658764+0 9.888007-5 4.164744+0 9.904611-5 1.397538+0 9.928990-5-2.305418+0 9.953368-5-5.626319+0 9.980249-5-8.885147+0 1.000481-4-1.151181+1 1.002943-4-1.383256+1 1.007625-4-1.743378+1 1.015420-4-2.199289+1 1.031686-4-3.016103+1 1.043464-4-3.445255+1 1.064528-4-3.956566+1 1.098000-4-4.388308+1 1.170500-4-4.743924+1 1.388958-4-5.303367+1 1.897932-4-6.062272+1 2.333632-4-6.329282+1 3.311311-4-7.064267+1 3.536243-4-7.286619+1 4.108736-4-8.351817+1 4.430000-4-8.332743+1 5.799288-4-6.512701+1 6.287972-4-6.160810+1 6.493540-4-6.259881+1 6.608476-4-6.665078+1 6.645792-4-6.420290+1 6.716136-4-5.413536+1 6.751999-4-5.244506+1 6.975792-4-5.812635+1 7.023104-4-5.652848+1 7.098999-4-5.046850+1 7.157573-4-4.949026+1 7.297697-4-5.016752+1 8.480195-4-4.265168+1 9.252834-4-3.992661+1 9.471313-4-4.014838+1 1.014814-3-3.556688+1 1.124472-3-3.170700+1 1.269821-3-2.835845+1 1.344245-3-2.703927+1 1.520110-3-2.447755+1 1.781092-3-2.257593+1 2.118331-3-2.185480+1 2.489593-3-2.254332+1 2.792644-3-2.433508+1 3.019432-3-2.700751+1 3.162663-3-3.019320+1 3.243469-3-3.362178+1 3.281692-3-3.682431+1 3.329802-3-4.247722+1 3.349080-3-4.256490+1 3.409247-3-3.719297+1 3.443228-3-3.648519+1 3.493687-3-3.762615+1 3.520452-3-3.624362+1 3.576665-3-3.069377+1 3.631320-3-2.754968+1 3.723704-3-2.441209+1 3.845918-3-2.203183+1 3.946495-3-2.131516+1 4.027774-3-2.215429+1 4.066696-3-2.117205+1 4.127256-3-1.879129+1 4.221718-3-1.668979+1 4.376623-3-1.455821+1 4.584469-3-1.281724+1 4.737228-3-1.225291+1 4.840986-3-1.228898+1 4.952389-3-1.104206+1 5.070759-3-1.042284+1 5.165883-3-1.020440+1 5.301995-3-8.970792+0 5.531610-3-7.741097+0 5.831251-3-6.681890+0 6.265580-3-5.660612+0 6.809653-3-4.876605+0 7.413102-3-4.386081+0 8.222426-3-4.112337+0 9.203089-3-4.063908+0 1.045704-2-4.300425+0 1.191928-2-4.813445+0 1.339249-2-5.593708+0 1.450804-2-6.499618+0 1.522641-2-7.435750+0 1.567628-2-8.425926+0 1.592593-2-9.416217+0 1.609021-2-1.065967+1 1.624576-2-1.206480+1 1.632641-2-1.224952+1 1.643140-2-1.163805+1 1.661047-2-9.900156+0 1.678744-2-8.819389+0 1.705811-2-7.921119+0 1.749183-2-7.138244+0 1.805695-2-6.651358+0 1.870334-2-6.551539+0 1.917173-2-6.861684+0 1.942972-2-7.393223+0 1.969605-2-8.371050+0 1.984167-2-8.414866+0 2.017686-2-7.396281+0 2.051758-2-6.964974+0 2.092282-2-5.643708+0 2.128001-2-4.916430+0 2.187022-2-4.140239+0 2.261808-2-3.455478+0 2.348727-2-2.885641+0 2.431573-2-2.482188+0 2.553079-2-2.048945+0 2.639552-2-1.817220+0 2.778114-2-1.540243+0 2.944845-2-1.309245+0 3.097152-2-1.166213+0 3.255204-2-1.066464+0 3.523052-2-9.783423-1 3.907812-2-9.470819-1 4.243204-2-9.696172-1 5.177417-2-1.134593+0 8.070766-2-1.805495+0 9.062409-2-2.099356+0 9.808773-2-2.418066+0 1.029594-1-2.759602+0 1.057739-1-3.101367+0 1.074330-1-3.465071+0 1.084819-1-3.902594+0 1.095783-1-4.487268+0 1.102570-1-4.568721+0 1.110147-1-4.257055+0 1.123718-1-3.490745+0 1.134038-1-3.139328+0 1.151776-1-2.771907+0 1.177941-1-2.428826+0 1.217007-1-2.108954+0 1.271198-1-1.815704+0 1.334505-1-1.596073+0 1.415201-1-1.415234+0 1.533051-1-1.254241+0 1.685343-1-1.137149+0 1.904638-1-1.061935+0 2.332197-1-1.029321+0 5.180803-1-1.157383+0 9.002746-1-1.213301+0 2.814822+0-1.240662+0 8.500626+0-1.247212+0 1.000000+1-1.244343+0 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.309336-1 1.047409-6 1.668298-1 1.070245-6 1.873790-1 1.091655-6 2.090646-1 1.111726-6 2.318649-1 1.130543-6 2.557591-1 1.148184-6 2.807302-1 1.164722-6 3.067761-1 1.180227-6 3.340015-1 1.200000-6 3.732546-1 1.221165-6 4.214717-1 1.233142-6 4.524765-1 1.244370-6 4.847109-1 1.254897-6 5.181118-1 1.264765-6 5.527614-1 1.274017-6 5.887348-1 1.291365-6 6.668035-1 1.306544-6 7.499251-1 1.319825-6 8.388167-1 1.331446-6 9.339390-1 1.341615-6 1.035742+0 1.350513-6 1.144705+0 1.358298-6 1.261364+0 1.365110-6 1.386359+0 1.371071-6 1.520555+0 1.376287-6 1.665212+0 1.380850-6 1.822027+0 1.384843-6 1.992755+0 1.388337-6 2.178470+0 1.391395-6 2.378861+0 1.394070-6 2.591944+0 1.396411-6 2.814296+0 1.398459-6 3.041609+0 1.400251-6 3.269332+0 1.401819-6 3.493203+0 1.404563-6 3.946463+0 1.406621-6 4.342599+0 1.411493-6 5.489295+0 1.415132-6 6.538844+0 1.418012-6 7.472799+0 1.419751-6 8.071192+0 1.423228-6 9.312341+0 1.423663-6 9.468884+0 1.426705-6 1.054832+1 1.427901-6 1.095554+1 1.430183-6 1.168570+1 1.431378-6 1.203538+1 1.432519-6 1.234309+1 1.433660-6 1.262174+1 1.435182-6 1.294233+1 1.436649-6 1.319014+1 1.438007-6 1.336093+1 1.439148-6 1.345800+1 1.440615-6 1.351771+1 1.442571-6 1.347975+1 1.444201-6 1.334430+1 1.444622-6 1.329407+1 1.446741-6 1.294899+1 1.448133-6 1.264186+1 1.449374-6 1.231801+1 1.451058-6 1.180983+1 1.452256-6 1.140491+1 1.454634-6 1.051409+1 1.455735-6 1.006942+1 1.457365-6 9.385451+0 1.458984-6 8.685095+0 1.460076-6 8.206852+0 1.461480-6 7.591291+0 1.463001-6 6.930671+0 1.464224-6 6.409841+0 1.464957-6 6.103324+0 1.466696-6 5.399435+0 1.468217-6 4.814749+0 1.469467-6 4.359561+0 1.470689-6 3.938124+0 1.471912-6 3.541591+0 1.475389-6 2.555980+0 1.476727-6 2.233359+0 1.477797-6 1.997606+0 1.478867-6 1.781049+0 1.480388-6 1.504911+0 1.482189-6 1.223673+0 1.484096-6 9.758073-1 1.487150-6 6.724326-1 1.489448-6 5.090296-1 1.490875-6 4.311306-1 1.491886-6 3.855418-1 1.492549-6 3.595599-1 1.493202-6 3.368245-1 1.493844-6 3.170353-1 1.494477-6 2.999182-1 1.495099-6 2.852231-1 1.495712-6 2.727220-1 1.496919-6 2.533651-1 1.498088-6 2.406228-1 1.499220-6 2.332759-1 1.500317-6 2.303208-1 1.501380-6 2.309327-1 1.534325-6 1.158296+0 1.541878-6 1.724195+0 1.544981-6 2.020417+0 1.546093-6 2.135347+0 1.549431-6 2.504653+0 1.551607-6 2.761648+0 1.555407-6 3.227230+0 1.555882-6 3.285839+0 1.559208-6 3.689171+0 1.560514-6 3.840894+0 1.563008-6 4.112147+0 1.564832-6 4.289936+0 1.565702-6 4.367240+0 1.567008-6 4.472771+0 1.568313-6 4.564540+0 1.569075-6 4.611215+0 1.570409-6 4.679846+0 1.572159-6 4.743124+0 1.573565-6 4.770688+0 1.574884-6 4.776969+0 1.576547-6 4.757365+0 1.578210-6 4.706978+0 1.578893-6 4.677465+0 1.580841-6 4.565830+0 1.582625-6 4.429652+0 1.583372-6 4.363662+0 1.585296-6 4.171155+0 1.587022-6 3.974028+0 1.589849-6 3.611011+0 1.591327-6 3.406566+0 1.592784-6 3.198385+0 1.594012-6 3.019716+0 1.595141-6 2.854348+0 1.596517-6 2.652729+0 1.598000-6 2.437428+0 1.599318-6 2.249796+0 1.601012-6 2.015745+0 1.603031-6 1.750585+0 1.604645-6 1.551551+0 1.605495-6 1.451935+0 1.607054-6 1.279109+0 1.608731-6 1.108021+0 1.610148-6 9.759145-1 1.611847-6 8.325147-1 1.613571-6 7.035204-1 1.615222-6 5.950872-1 1.617163-6 4.856357-1 1.620014-6 3.572567-1 1.622953-6 2.602217-1 1.624574-6 2.198647-1 1.625867-6 1.935448-1 1.626511-6 1.821879-1 1.627154-6 1.719445-1 1.627796-6 1.627509-1 1.628436-6 1.545455-1 1.629075-6 1.472693-1 1.630351-6 1.352691-1 1.631622-6 1.263403-1 1.632888-6 1.200939-1 1.634149-6 1.161787-1 1.635406-6 1.142797-1 1.636657-6 1.141163-1 1.637903-6 1.154404-1 1.640386-6 1.217222-1 1.642850-6 1.316908-1 1.645294-6 1.442727-1 1.650126-6 1.743710-1 1.652513-6 1.909438-1 1.657251-6 2.259454-1 1.661914-6 2.624231-1 1.666505-6 2.999723-1 1.671024-6 3.384645-1 1.955722-6 3.257407+0 1.960536-6 3.351447+0 1.965350-6 3.458353+0 1.970164-6 3.578357+0 1.989419-6 4.144310+0 1.996385-6 4.335734+0 2.001263-6 4.442869+0 2.006141-6 4.517222+0 2.010733-6 4.551054+0 2.013488-6 4.553259+0 2.017131-6 4.535525+0 2.020774-6 4.496072+0 2.025652-6 4.415693+0 2.037847-6 4.162757+0 2.042010-6 4.092346+0 2.044597-6 4.059544+0 2.047184-6 4.037030+0 2.051052-6 4.024904+0 2.054919-6 4.040277+0 2.059797-6 4.098845+0 2.064675-6 4.197627+0 2.069553-6 4.330142+0 2.074430-6 4.488502+0 2.087530-6 4.983868+0 2.096914-6 5.358201+0 2.125064-6 6.473866+0 2.187831-6 9.434253+0 2.213984-6 1.106535+1 2.229676-6 1.220910+1 2.247157-6 1.366097+1 2.263546-6 1.522524+1 2.278910-6 1.690999+1 2.293314-6 1.872341+1 2.306818-6 2.067296+1 2.319478-6 2.276595+1 2.331346-6 2.500977+1 2.342473-6 2.741198+1 2.352904-6 2.998026+1 2.362684-6 3.272245+1 2.371852-6 3.564657+1 2.380447-6 3.876084+1 2.388505-6 4.207383+1 2.396059-6 4.559453+1 2.403142-6 4.933247+1 2.409781-6 5.329779+1 2.416006-6 5.750133+1 2.421841-6 6.195480+1 2.427312-6 6.667123+1 2.432441-6 7.166566+1 2.437250-6 7.695584+1 2.441757-6 8.256277+1 2.445983-6 8.851075+1 2.453907-6 1.020163+2 2.460841-6 1.173300+2 2.466908-6 1.346097+2 2.472216-6 1.538569+2 2.476861-6 1.748818+2 2.480925-6 1.973241+2 2.484481-6 2.207113+2 2.487593-6 2.445282+2 2.490316-6 2.682768+2 2.494783-6 3.138973+2 2.501167-6 3.956020+2 2.510485-6 5.552151+2 2.515551-6 6.635323+2 2.518640-6 7.368077+2 2.521728-6 8.151525+2 2.527904-6 9.845442+2 2.528677-6 1.006651+3 2.534081-6 1.164624+3 2.536204-6 1.227232+3 2.540837-6 1.361675+3 2.542873-6 1.418725+3 2.545783-6 1.496750+3 2.547654-6 1.544129+3 2.550683-6 1.615089+3 2.553469-6 1.672938+3 2.556543-6 1.727148+3 2.559173-6 1.764520+3 2.562068-6 1.795202+3 2.565157-6 1.815079+3 2.566232-6 1.818779+3 2.569299-6 1.820028+3 2.572336-6 1.807675+3 2.573709-6 1.797699+3 2.576746-6 1.766245+3 2.578999-6 1.734888+3 2.583791-6 1.647479+3 2.586811-6 1.579685+3 2.589966-6 1.500204+3 2.593024-6 1.416382+3 2.595133-6 1.355569+3 2.598147-6 1.265640+3 2.601296-6 1.169439+3 2.605111-6 1.052196+3 2.608199-6 9.584956+2 2.611673-6 8.560772+2 2.614376-6 7.795421+2 2.620552-6 6.179717+2 2.622305-6 5.759820+2 2.624306-6 5.303121+2 2.628808-6 4.365769+2 2.632581-6 3.677086+2 2.636523-6 3.049049+2 2.639242-6 2.668044+2 2.642737-6 2.236604+2 2.646621-6 1.828136+2 2.650460-6 1.490066+2 2.655081-6 1.158411+2 2.661022-6 8.322003+1 2.667572-6 5.743431+1 2.677397-6 3.270485+1 2.683947-6 2.239661+1 2.690616-6 1.517700+1 2.696238-6 1.088781+1 2.705097-6 6.404277+0 2.710588-6 4.619276+0 2.713903-6 3.819855+0 2.716227-6 3.366379+0 2.718381-6 3.017174+0 2.720534-6 2.731218+0 2.722880-6 2.486687+0 2.724417-6 2.362013+0 2.725954-6 2.264121+0 2.727184-6 2.204374+0 2.728652-6 2.153988+0 2.729533-6 2.134387+0 2.731196-6 2.118528+0 2.733691-6 2.145053+0 2.736186-6 2.229880+0 2.740427-6 2.503041+0 2.747058-6 3.245535+0 2.757359-6 5.161521+0 2.766951-6 7.829684+0 2.771527-6 9.429070+0 2.776103-6 1.125418+1 2.782756-6 1.432997+1 2.785108-6 1.554076+1 2.790585-6 1.861228+1 2.793323-6 2.027952+1 2.796810-6 2.252603+1 2.798818-6 2.388078+1 2.806737-6 2.961851+1 2.810578-6 3.260087+1 2.817462-6 3.819019+1 2.824346-6 4.398531+1 2.827788-6 4.692372+1 2.831230-6 4.987568+1 2.835124-6 5.322672+1 2.838044-6 5.575109+1 2.844615-6 6.151672+1 2.853660-6 7.001660+1 2.860146-6 7.706690+1 2.865650-6 8.421723+1 2.867371-6 8.676222+1 2.872534-6 9.556884+1 2.874671-6 9.983557+1 2.877876-6 1.070764+2 2.881081-6 1.155048+2 2.882795-6 1.205770+2 2.885794-6 1.305452+2 2.888043-6 1.390516+2 2.891417-6 1.537314+2 2.894791-6 1.710934+2 2.897431-6 1.868571+2 2.900070-6 2.048235+2 2.903512-6 2.320555+2 2.906954-6 2.642795+2 2.910396-6 3.023380+2 2.913838-6 3.471793+2 2.917280-6 3.998587+2 2.924909-6 5.505030+2 2.934490-6 8.242484+2 2.940020-6 1.035848+3 2.945630-6 1.297447+3 2.949921-6 1.532154+3 2.954384-6 1.809561+3 2.958011-6 2.060223+3 2.961638-6 2.332989+3 2.968892-6 2.939352+3 2.969799-6 3.020187+3 2.976146-6 3.609970+3 2.978640-6 3.850039+3 2.983400-6 4.313476+3 2.987084-6 4.669998+3 2.990654-6 5.007140+3 2.994338-6 5.339692+3 2.997908-6 5.640751+3 3.001082-6 5.885760+3 3.004014-6 6.089557+3 3.005615-6 6.190528+3 3.009866-6 6.419479+3 3.013185-6 6.555271+3 3.017052-6 6.662181+3 3.020519-6 6.709069+3 3.022614-6 6.714558+3 3.025846-6 6.689327+3 3.029134-6 6.622480+3 3.030395-6 6.586136+3 3.034631-6 6.422715+3 3.037527-6 6.276711+3 3.039479-6 6.163890+3 3.042339-6 5.979707+3 3.045116-6 5.781578+3 3.048686-6 5.503307+3 3.051860-6 5.238128+3 3.054920-6 4.970608+3 3.059567-6 4.550533+3 3.063194-6 4.217980+3 3.067274-6 3.846159+3 3.070448-6 3.562752+3 3.077702-6 2.948685+3 3.082576-6 2.571532+3 3.084956-6 2.399443+3 3.090396-6 2.037979+3 3.097409-6 1.638978+3 3.109964-6 1.102399+3 3.114526-6 9.570035+2 3.118802-6 8.408718+2 3.122811-6 7.476227+2 3.126569-6 6.722421+2 3.130093-6 6.108340+2 3.133396-6 5.603897+2 3.139590-6 4.814620+2 3.145009-6 4.260204+2 3.149751-6 3.857204+2 3.158050-6 3.292287+2 3.164274-6 2.956508+2 3.173610-6 2.552558+2 3.183102-6 2.229361+2 3.190937-6 2.010631+2 3.198772-6 1.825483+2 3.206606-6 1.667966+2 3.214441-6 1.534016+2 3.222276-6 1.420659+2 3.230111-6 1.325453+2 3.237946-6 1.246102+2 3.245879-6 1.179484+2 3.253829-6 1.123971+2 3.261779-6 1.077006+2 3.277679-6 9.984704+1 3.290583-6 9.406152+1 3.301530-6 8.915010+1 3.316294-6 8.239027+1 3.324128-6 7.879534+1 3.365756-6 6.168841+1 3.376570-6 5.809859+1 3.387086-6 5.495431+1 3.400078-6 5.149886+1 3.408988-6 4.937373+1 3.425058-6 4.596704+1 3.465169-6 3.888358+1 3.482268-6 3.604532+1 3.507628-6 3.209225+1 3.516553-6 3.090464+1 3.525561-6 2.987723+1 3.534175-6 2.907725+1 3.542506-6 2.847558+1 3.550838-6 2.802690+1 3.560018-6 2.767038+1 3.585860-6 2.691346+1 3.592321-6 2.666572+1 3.602011-6 2.618864+1 3.611702-6 2.556924+1 3.619704-6 2.495341+1 3.627978-6 2.423150+1 3.636549-6 2.341504+1 3.644753-6 2.259357+1 3.671476-6 1.994878+1 3.680718-6 1.913860+1 3.689521-6 1.844805+1 3.698387-6 1.783915+1 3.707358-6 1.730921+1 3.716329-6 1.685432+1 3.734270-6 1.609043+1 3.750063-6 1.546444+1 3.770528-6 1.460596+1 3.788999-6 1.385128+1 3.798234-6 1.353651+1 3.807469-6 1.329064+1 3.813917-6 1.316539+1 3.820364-6 1.307825+1 3.830524-6 1.300891+1 3.860171-6 1.300663+1 3.872702-6 1.293956+1 3.881711-6 1.282837+1 3.890720-6 1.265971+1 3.904190-6 1.230948+1 3.922948-6 1.168074+1 3.938499-6 1.109756+1 3.952106-6 1.057706+1 3.994000-6 9.030533+0 4.032850-6 7.646316+0 4.049174-6 7.062882+0 4.064596-6 6.517112+0 4.110096-6 5.081509+0 4.144205-6 4.247515+0 4.152795-6 4.046017+0 4.162859-6 3.801275+0 4.168372-6 3.661636+0 4.174264-6 3.507910+0 4.183368-6 3.263013+0 4.192511-6 3.014080+0 4.211380-6 2.539377+0 4.215999-6 2.441954+0 4.223891-6 2.302118+0 4.226326-6 2.266729+0 4.236652-6 2.162977+0 4.238031-6 2.155133+0 4.247685-6 2.141880+0 4.252014-6 2.159938+0 4.256146-6 2.191149+0 4.260279-6 2.236125+0 4.262615-6 2.267747+0 4.266705-6 2.334168+0 4.269772-6 2.393642+0 4.272072-6 2.444005+0 4.277248-6 2.577044+0 4.280277-6 2.669033+0 4.284840-6 2.830660+0 4.288262-6 2.973073+0 4.290055-6 3.056030+0 4.299832-6 3.636355+0 4.303845-6 3.953826+0 4.307053-6 4.249965+0 4.311408-6 4.722490+0 4.315483-6 5.250279+0 4.320106-6 5.966346+0 4.320972-6 6.115834+0 4.334814-6 9.304630+0 4.349231-6 1.461445+1 4.351974-6 1.589266+1 4.362943-6 2.190577+1 4.367213-6 2.462708+1 4.372666-6 2.838673+1 4.377769-6 3.216186+1 4.382809-6 3.608926+1 4.387694-6 4.003543+1 4.392102-6 4.366593+1 4.396769-6 4.753039+1 4.401602-6 5.149271+1 4.406479-6 5.538186+1 4.412493-6 5.992561+1 4.416564-6 6.278278+1 4.422030-6 6.626769+1 4.426615-6 6.882820+1 4.430598-6 7.075027+1 4.435374-6 7.265407+1 4.439216-6 7.385080+1 4.441785-6 7.447889+1 4.449491-6 7.552342+1 4.454037-6 7.555250+1 4.457294-6 7.531314+1 4.462637-6 7.447143+1 4.464819-6 7.397545+1 4.468637-6 7.290925+1 4.473649-6 7.115762+1 4.478481-6 6.913475+1 4.480092-6 6.839637+1 4.489100-6 6.378946+1 4.492946-6 6.163146+1 4.500622-6 5.711831+1 4.510804-6 5.098027+1 4.513462-6 4.939197+1 4.528289-6 4.097746+1 4.551684-6 3.021797+1 4.560702-6 2.702338+1 4.567545-6 2.493320+1 4.577227-6 2.241879+1 4.588176-6 2.011096+1 4.598408-6 1.837052+1 4.611770-6 1.655728+1 4.624689-6 1.516334+1 4.641510-6 1.370354+1 4.654608-6 1.275354+1 4.666946-6 1.196131+1 4.715668-6 9.398064+0 4.739106-6 8.336141+0 4.767434-6 7.108538+0 4.775801-6 6.756166+0 4.799398-6 5.830005+0 4.811740-6 5.432123+0 4.816913-6 5.296287+0 4.823506-6 5.158412+0 4.828991-6 5.079814+0 4.831086-6 5.059684+0 4.837371-6 5.036263+0 4.848915-6 5.160877+0 4.852762-6 5.257575+0 4.864648-6 5.753699+0 4.868734-6 5.997395+0 4.876534-6 6.570376+0 4.880620-6 6.926806+0 4.888420-6 7.710945+0 4.905121-6 9.786135+0 4.913537-6 1.097794+1 4.916830-6 1.145858+1 4.924570-6 1.259743+1 4.929876-6 1.336926+1 4.936008-6 1.423262+1 4.938052-6 1.451025+1 4.949664-6 1.594717+1 4.959736-6 1.693711+1 4.964809-6 1.732484+1 4.969652-6 1.761887+1 4.976544-6 1.790347+1 4.980386-6 1.799264+1 4.983748-6 1.802993+1 4.989631-6 1.800525+1 4.994043-6 1.791410+1 4.997352-6 1.780677+1 5.004798-6 1.745181+1 5.007280-6 1.730127+1 5.016194-6 1.664565+1 5.019166-6 1.639231+1 5.031052-6 1.524957+1 5.042938-6 1.397977+1 5.050000-6 1.320630+1 5.064481-6 1.166614+1 5.080344-6 1.017194+1 5.085108-6 9.780665+0 5.100567-6 8.732606+0 5.113060-6 8.156016+0 5.119306-6 7.961805+0 5.125553-6 7.829745+0 5.129094-6 7.781849+0 5.134407-6 7.745366+0 5.139720-6 7.749405+0 5.143769-6 7.778058+0 5.148208-6 7.833078+0 5.152260-6 7.903098+0 5.161375-6 8.120083+0 5.173674-6 8.508208+0 5.189107-6 9.059512+0 5.201454-6 9.473006+0 5.204543-6 9.565044+0 5.213809-6 9.802347+0 5.217256-6 9.873689+0 5.227599-6 1.002616+1 5.236445-6 1.008111+1 5.240667-6 1.008353+1 5.250167-6 1.003805+1 5.259237-6 9.939449+0 5.265141-6 9.853639+0 5.301713-6 9.235934+0 5.312421-6 9.106398+0 5.326094-6 9.004957+0 5.335915-6 8.974778+0 5.344340-6 8.972593+0 5.357086-6 8.998897+0 5.393769-6 9.122111+0 5.408130-6 9.143864+0 5.447371-6 9.094381+0 5.472010-6 9.016318+0 5.545455-6 8.736090+0 5.611154-6 8.458826+0 5.642612-6 8.379620+0 5.676031-6 8.357173+0 5.719147-6 8.358612+0 5.743052-6 8.339628+0 5.765498-6 8.302210+0 5.856227-6 8.091395+0 5.927596-6 7.996375+0 6.000000-6 7.895856+0 6.084608-6 7.713026+0 6.113499-6 7.662862+0 6.145822-6 7.628899+0 6.250171-6 7.598108+0 6.297955-6 7.539466+0 6.382635-6 7.382840+0 6.698764-6 6.893825+0 6.831314-6 6.750250+0 7.288858-6 6.229466+0 7.762471-6 5.718980+0 8.210602-6 5.263290+0 8.740410-6 4.729533+0 9.225714-6 4.253780+0 9.653560-6 3.833527+0 1.003418-5 3.461622+0 1.035142-5 3.160860+0 1.059254-5 2.937551+0 1.084440-5 2.712332+0 1.100539-5 2.573166+0 1.161449-5 2.107388+0 1.171505-5 2.044345+0 1.187968-5 1.951597+0 1.199359-5 1.895950+0 1.209008-5 1.856641+0 1.217807-5 1.833147+0 1.225309-5 1.829102+0 1.236483-5 1.853995+0 1.249795-5 1.916835+0 1.261268-5 1.989158+0 1.268114-5 2.039921+0 1.280855-5 2.150726+0 1.290508-5 2.250092+0 1.306073-5 2.440534+0 1.323320-5 2.697556+0 1.331541-5 2.839531+0 1.347470-5 3.154980+0 1.366875-5 3.612783+0 1.376417-5 3.871705+0 1.389528-5 4.272087+0 1.405329-5 4.828904+0 1.424183-5 5.608133+0 1.443827-5 6.574421+0 1.462177-5 7.649190+0 1.481143-5 8.964701+0 1.496235-5 1.018546+1 1.513274-5 1.178440+1 1.531556-5 1.380305+1 1.545268-5 1.556451+1 1.559305-5 1.763051+1 1.570977-5 1.958057+1 1.591088-5 2.350432+1 1.605926-5 2.695155+1 1.621810-5 3.129377+1 1.637164-5 3.626123+1 1.652783-5 4.226542+1 1.664497-5 4.754256+1 1.678736-5 5.505014+1 1.691071-5 6.272580+1 1.703663-5 7.194042+1 1.715742-5 8.238834+1 1.728077-5 9.506967+1 1.740412-5 1.103004+2 1.748636-5 1.222081+2 1.759831-5 1.412224+2 1.768541-5 1.587657+2 1.778535-5 1.826678+2 1.784007-5 1.978454+2 1.789137-5 2.136791+2 1.793947-5 2.301433+2 1.799710-5 2.522657+2 1.806910-5 2.843028+2 1.814471-5 3.245592+2 1.820780-5 3.648981+2 1.826443-5 4.079723+2 1.831399-5 4.525692+2 1.835735-5 4.983303+2 1.839529-5 5.447703+2 1.842849-5 5.912968+2 1.845754-5 6.372650+2 1.850838-5 7.315395+2 1.854651-5 8.155419+2 1.859655-5 9.453942+2 1.870682-5 1.315316+3 1.875275-5 1.500703+3 1.879868-5 1.700176+3 1.885609-5 1.964688+3 1.890203-5 2.188503+3 1.895944-5 2.496143+3 1.898241-5 2.635259+3 1.901685-5 2.873161+3 1.902834-5 2.962861+3 1.906279-5 3.274294+3 1.908575-5 3.526498+3 1.912020-5 3.992613+3 1.913599-5 4.248741+3 1.916613-5 4.826366+3 1.918946-5 5.364362+3 1.922314-5 6.301669+3 1.924922-5 7.171074+3 1.932445-5 1.044239+4 1.936142-5 1.246175+4 1.937474-5 1.324823+4 1.942207-5 1.625033+4 1.943732-5 1.726887+4 1.947064-5 1.953419+4 1.948539-5 2.053958+4 1.950647-5 2.195930+4 1.952003-5 2.285216+4 1.954294-5 2.430667+4 1.956456-5 2.559344+4 1.958376-5 2.664644+4 1.960670-5 2.777146+4 1.963358-5 2.887301+4 1.965651-5 2.960406+4 1.966839-5 2.990143+4 1.969165-5 3.031453+4 1.970661-5 3.045850+4 1.975191-5 3.030665+4 1.977308-5 2.993874+4 1.979468-5 2.937950+4 1.981112-5 2.883705+4 1.983235-5 2.799980+4 1.985101-5 2.714954+4 1.986913-5 2.623397+4 1.989243-5 2.494736+4 1.991313-5 2.372114+4 1.993310-5 2.248440+4 1.996342-5 2.054362+4 1.998709-5 1.900870+4 2.001371-5 1.729451+4 2.003442-5 1.598956+4 2.008175-5 1.316778+4 2.011355-5 1.143923+4 2.012909-5 1.065185+4 2.016458-5 9.001138+3 2.020488-5 7.383169+3 2.030435-5 4.476048+3 2.032921-5 3.957672+3 2.035408-5 3.507858+3 2.037894-5 3.118980+3 2.040381-5 2.783679+3 2.042868-5 2.495033+3 2.045354-5 2.246660+3 2.047841-5 2.032789+3 2.050751-5 1.819436+3 2.055300-5 1.550001+3 2.060274-5 1.322827+3 2.065247-5 1.145953+3 2.070220-5 1.004902+3 2.076262-5 8.677478+2 2.080166-5 7.939265+2 2.085140-5 7.126802+2 2.090113-5 6.428231+2 2.095086-5 5.820132+2 2.101747-5 5.117459+2 2.120151-5 3.632658+2 2.146000-5 2.247845+2 2.151256-5 2.050977+2 2.156513-5 1.884615+2 2.159141-5 1.812898+2 2.161769-5 1.748636+2 2.164859-5 1.682201+2 2.167025-5 1.641180+2 2.169653-5 1.597008+2 2.172664-5 1.553137+2 2.177538-5 1.494443+2 2.182794-5 1.442717+2 2.195579-5 1.330970+2 2.206912-5 1.228705+2 2.212330-5 1.187030+2 2.217195-5 1.160911+2 2.221407-5 1.150492+2 2.225655-5 1.153441+2 2.229203-5 1.166629+2 2.231332-5 1.179003+2 2.234872-5 1.206117+2 2.239424-5 1.250238+2 2.245541-5 1.317156+2 2.250429-5 1.368035+2 2.255968-5 1.413469+2 2.257872-5 1.424728+2 2.261507-5 1.438900+2 2.264814-5 1.442984+2 2.267515-5 1.440087+2 2.270078-5 1.432414+2 2.274238-5 1.410832+2 2.275619-5 1.401514+2 2.280666-5 1.360513+2 2.290103-5 1.269461+2 2.300114-5 1.179272+2 2.306125-5 1.135948+2 2.312107-5 1.101540+2 2.313727-5 1.093524+2 2.326947-5 1.041455+2 2.341120-5 9.935868+1 2.353514-5 9.480032+1 2.374137-5 8.679323+1 2.402512-5 7.696094+1 2.416374-5 7.275839+1 2.447578-5 6.381608+1 2.466096-5 5.858465+1 2.484224-5 5.351453+1 2.499388-5 4.936294+1 2.522585-5 4.331471+1 2.550213-5 3.697603+1 2.558186-5 3.542284+1 2.565887-5 3.408551+1 2.573833-5 3.290627+1 2.580797-5 3.207212+1 2.586775-5 3.153266+1 2.593012-5 3.117817+1 2.597689-5 3.107918+1 2.602500-5 3.115646+1 2.605849-5 3.133594+1 2.610162-5 3.174528+1 2.613086-5 3.215365+1 2.616399-5 3.276323+1 2.618737-5 3.329854+1 2.621076-5 3.393028+1 2.624194-5 3.493868+1 2.627313-5 3.615934+1 2.630743-5 3.778033+1 2.633549-5 3.935096+1 2.636668-5 4.138866+1 2.639786-5 4.377377+1 2.642904-5 4.655387+1 2.646363-5 5.016718+1 2.649141-5 5.353247+1 2.652259-5 5.787607+1 2.655704-5 6.348375+1 2.658495-5 6.875262+1 2.662923-5 7.871786+1 2.667074-5 9.026411+1 2.671424-5 1.052848+2 2.674614-5 1.186921+2 2.678035-5 1.358542+2 2.681241-5 1.551362+2 2.684633-5 1.796389+2 2.687066-5 2.003266+2 2.690352-5 2.331962+2 2.694507-5 2.845464+2 2.698725-5 3.505310+2 2.704227-5 4.632904+2 2.717435-5 9.115577+2 2.722869-5 1.195397+3 2.726610-5 1.433179+3 2.730364-5 1.710046+3 2.733923-5 2.010290+3 2.736500-5 2.251431+3 2.739418-5 2.549103+3 2.742777-5 2.923907+3 2.749914-5 3.828759+3 2.750702-5 3.936810+3 2.756632-5 4.793658+3 2.758797-5 5.121528+3 2.762930-5 5.760541+3 2.766342-5 6.292226+3 2.769648-5 6.801939+3 2.773060-5 7.312421+3 2.776366-5 7.782700+3 2.779305-5 8.172865+3 2.782021-5 8.504373+3 2.783504-5 8.671810+3 2.787440-5 9.063682+3 2.790514-5 9.310672+3 2.794225-5 9.532873+3 2.797465-5 9.654687+3 2.799686-5 9.698093+3 2.803016-5 9.701501+3 2.805285-5 9.661812+3 2.810286-5 9.458448+3 2.813174-5 9.272803+3 2.816905-5 8.966609+3 2.818712-5 8.793948+3 2.821719-5 8.476067+3 2.825390-5 8.043770+3 2.829225-5 7.552253+3 2.833469-5 6.976723+3 2.836828-5 6.508874+3 2.840606-5 5.980429+3 2.843545-5 5.574216+3 2.850263-5 4.684796+3 2.852573-5 4.396957+3 2.856981-5 3.879168+3 2.863279-5 3.219932+3 2.878237-5 2.049377+3 2.884032-5 1.731966+3 2.886420-5 1.619889+3 2.890784-5 1.440049+3 2.895958-5 1.263456+3 2.900000-5 1.148880+3 2.902816-5 1.079388+3 2.909910-5 9.351266+2 2.914452-5 8.614280+2 2.919230-5 7.960455+2 2.927513-5 7.050879+2 2.936629-5 6.282273+2 2.941924-5 5.914672+2 2.949130-5 5.482740+2 2.960113-5 4.936735+2 2.970802-5 4.498648+2 2.980753-5 4.150393+2 2.998894-5 3.622297+2 3.013502-5 3.274620+2 3.021187-5 3.115893+2 3.028393-5 2.981563+2 3.035645-5 2.860251+2 3.043440-5 2.745089+2 3.056527-5 2.586269+2 3.065169-5 2.504553+2 3.082382-5 2.396615+2 3.089106-5 2.374658+2 3.096709-5 2.363381+2 3.101476-5 2.363259+2 3.108136-5 2.371034+2 3.121345-5 2.406160+2 3.132959-5 2.444314+2 3.144881-5 2.473837+2 3.152349-5 2.482257+2 3.162467-5 2.479444+2 3.170234-5 2.467401+2 3.180130-5 2.443423+2 3.206764-5 2.368265+2 3.222002-5 2.335735+2 3.243084-5 2.306357+2 3.285407-5 2.262352+2 3.345620-5 2.173057+2 3.416760-5 2.085420+2 3.521981-5 1.986096+2 3.672823-5 1.877594+2 3.812355-5 1.797937+2 4.340103-5 1.567788+2 4.536057-5 1.483582+2 4.638469-5 1.430670+2 4.663908-5 1.425840+2 4.682721-5 1.428859+2 4.706306-5 1.440824+2 4.750392-5 1.471120+2 4.761695-5 1.475722+2 4.776666-5 1.477750+2 4.789192-5 1.475707+2 4.808627-5 1.466820+2 4.858500-5 1.432826+2 4.888540-5 1.417601+2 5.031226-5 1.375459+2 5.132306-5 1.338535+2 5.332831-5 1.259806+2 5.600991-5 1.143337+2 5.801169-5 1.047370+2 5.974036-5 9.570923+1 6.136282-5 8.672911+1 6.287380-5 7.794269+1 6.409047-5 7.060202+1 6.531738-5 6.299659+1 6.629553-5 5.699842+1 6.719270-5 5.394955+1 6.825123-5 5.780922+1 6.931973-5 6.541363+1 7.033614-5 7.416069+1 7.117650-5 8.271936+1 7.224517-5 9.565274+1 7.310840-5 1.080839+2 7.372800-5 1.183780+2 7.464423-5 1.360605+2 7.549371-5 1.555731+2 7.629678-5 1.774876+2 7.710230-5 2.036267+2 7.775773-5 2.286905+2 7.842150-5 2.583605+2 7.915370-5 2.971440+2 7.962906-5 3.264786+2 8.018641-5 3.659978+2 8.070893-5 4.090675+2 8.119879-5 4.558458+2 8.165804-5 5.065089+2 8.208858-5 5.612256+2 8.249222-5 6.201231+2 8.294968-5 6.976019+2 8.334112-5 7.748968+2 8.356113-5 8.236572+2 8.392416-5 9.140599+2 8.416208-5 9.811174+2 8.443612-5 1.067402+3 8.471898-5 1.168351+3 8.504370-5 1.302131+3 8.537138-5 1.461022+3 8.556984-5 1.571518+3 8.585191-5 1.751302+3 8.609385-5 1.931431+3 8.624715-5 2.060657+3 8.653460-5 2.342216+3 8.678612-5 2.642281+3 8.700620-5 2.959934+3 8.719876-5 3.293850+3 8.736726-5 3.641993+3 8.751469-5 4.001426+3 8.765434-5 4.401099+3 8.775658-5 4.738181+3 8.795412-5 5.522637+3 8.810227-5 6.254922+3 8.821339-5 6.904645+3 8.829672-5 7.457969+3 8.842173-5 8.409839+3 8.854673-5 9.529296+3 8.865571-5 1.066172+4 8.887365-5 1.343609+4 8.928250-5 2.086736+4 8.941852-5 2.407375+4 8.982787-5 3.597369+4 9.004788-5 4.355009+4 9.007538-5 4.453774+4 9.026790-5 5.159207+4 9.035052-5 5.464562+4 9.043539-5 5.775781+4 9.053550-5 6.135341+4 9.063127-5 6.466948+4 9.073882-5 6.818660+4 9.082865-5 7.090832+4 9.094415-5 7.405208+4 9.103950-5 7.629506+4 9.115347-5 7.849916+4 9.130342-5 8.051895+4 9.140314-5 8.126617+4 9.153405-5 8.149230+4 9.164522-5 8.100472+4 9.175467-5 7.992482+4 9.186339-5 7.828672+4 9.203388-5 7.467507+4 9.212210-5 7.236099+4 9.222251-5 6.941004+4 9.233269-5 6.584472+4 9.241704-5 6.292746+4 9.251175-5 5.950368+4 9.259086-5 5.655730+4 9.269258-5 5.269931+4 9.280499-5 4.840536+4 9.291741-5 4.414613+4 9.303593-5 3.976011+4 9.312812-5 3.646161+4 9.334813-5 2.913030+4 9.343193-5 2.657416+4 9.351191-5 2.426761+4 9.359190-5 2.209551+4 9.369003-5 1.961719+4 9.380231-5 1.703389+4 9.391003-5 1.480371+4 9.401444-5 1.286612+4 9.416753-5 1.040115+4 9.431966-5 8.358519+3 9.450227-5 6.381584+3 9.475642-5 4.361517+3 9.486863-5 3.700096+3 9.500404-5 3.065301+3 9.510862-5 2.687589+3 9.539170-5 2.117184+3 9.542679-5 2.090850+3 9.549926-5 2.067313+3 9.557966-5 2.090413+3 9.565782-5 2.163552+3 9.569311-5 2.213340+3 9.574032-5 2.296635+3 9.578163-5 2.385506+3 9.583261-5 2.516199+3 9.589142-5 2.696656+3 9.595228-5 2.917936+3 9.601639-5 3.190311+3 9.610788-5 3.651777+3 9.658793-5 7.627684+3 9.663410-5 8.157932+3 9.687079-5 1.129298+4 9.696186-5 1.267931+4 9.707107-5 1.446386+4 9.718089-5 1.637991+4 9.722757-5 1.722714+4 9.738882-5 2.027634+4 9.746845-5 2.183508+4 9.757018-5 2.385516+4 9.765575-5 2.556231+4 9.774731-5 2.737802+4 9.784603-5 2.930029+4 9.793135-5 3.091213+4 9.804033-5 3.287646+4 9.810718-5 3.401488+4 9.821582-5 3.573413+4 9.832851-5 3.731723+4 9.838238-5 3.799300+4 9.849412-5 3.921154+4 9.858615-5 4.001666+4 9.869445-5 4.072113+4 9.881916-5 4.119511+4 9.889516-5 4.130461+4 9.905339-5 4.110163+4 9.916827-5 4.060259+4 9.926871-5 3.993954+4 9.938856-5 3.889489+4 9.946046-5 3.814821+4 9.958248-5 3.670131+4 9.970013-5 3.512461+4 9.984927-5 3.293017+4 9.998864-5 3.074519+4 1.001433-4 2.824452+4 1.001948-4 2.740575+4 1.004211-4 2.377431+4 1.004712-4 2.299361+4 1.008219-4 1.794067+4 1.013671-4 1.195686+4 1.014914-4 1.092584+4 1.016145-4 1.001643+4 1.017381-4 9.206462+3 1.019309-4 8.130669+3 1.021237-4 7.251622+3 1.023138-4 6.544498+3 1.025039-4 5.965950+3 1.027675-4 5.328787+3 1.030216-4 4.849825+3 1.032793-4 4.461136+3 1.035700-4 4.105468+3 1.039253-4 3.753427+3 1.042737-4 3.469609+3 1.045953-4 3.246759+3 1.049790-4 3.018996+3 1.053620-4 2.825184+3 1.056506-4 2.697725+3 1.059473-4 2.581125+3 1.064694-4 2.405783+3 1.068871-4 2.288082+3 1.074375-4 2.157249+3 1.080811-4 2.031745+3 1.087000-4 1.932928+3 1.092239-4 1.862696+3 1.099738-4 1.779306+3 1.107869-4 1.706750+3 1.116154-4 1.647153+3 1.123125-4 1.605443+3 1.131745-4 1.562033+3 1.143104-4 1.515181+3 1.154262-4 1.477102+3 1.181381-4 1.401729+3 1.203553-4 1.349111+3 1.262964-4 1.228129+3 1.326736-4 1.124510+3 1.392436-4 1.039981+3 1.536000-4 8.952870+2 1.733739-4 7.471576+2 1.798871-4 7.048569+2 1.842537-4 6.754188+2 1.875020-4 6.503861+2 1.899547-4 6.308233+2 1.911500-4 6.246835+2 1.926023-4 6.222815+2 1.953666-4 6.243703+2 1.967854-4 6.237955+2 2.019937-4 6.136785+2 2.065380-4 6.026812+2 2.125819-4 5.861674+2 2.187901-4 5.679693+2 2.248031-4 5.494265+2 2.296812-4 5.333784+2 2.340234-4 5.168481+2 2.374700-4 5.019294+2 2.386326-4 4.991952+2 2.399337-4 4.989759+2 2.428554-4 5.047183+2 2.437785-4 5.057856+2 2.450910-4 5.055559+2 2.484468-4 4.995248+2 2.663268-4 4.644417+2 2.757273-4 4.441159+2 2.845238-4 4.244403+2 2.956188-4 3.974154+2 2.997658-4 3.870260+2 3.038748-4 3.798416+2 3.057676-4 3.771230+2 3.100392-4 3.698630+2 3.162278-4 3.567773+2 3.281216-4 3.289460+2 3.388442-4 3.008643+2 3.457814-4 2.806010+2 3.512758-4 2.616692+2 3.564477-4 2.418540+2 3.573968-4 2.389618+2 3.583298-4 2.366284+2 3.597117-4 2.341592+2 3.618268-4 2.321051+2 3.635785-4 2.307300+2 3.646355-4 2.295376+2 3.666035-4 2.263064+2 3.700269-4 2.198977+2 3.736843-4 2.149733+2 3.747768-4 2.132210+2 3.760724-4 2.105271+2 3.773060-4 2.072521+2 3.789389-4 2.019742+2 3.815971-4 1.920590+2 3.869000-4 1.718328+2 3.901500-4 1.598072+2 3.923000-4 1.519115+2 3.961750-4 1.379534+2 4.024375-4 1.175282+2 4.045000-4 1.117562+2 4.065000-4 1.067702+2 4.085000-4 1.024804+2 4.103743-4 9.917137+1 4.120975-4 9.679484+1 4.139981-4 9.496435+1 4.168694-4 9.385076+1 4.200000-4 9.497012+1 4.238186-4 9.966146+1 4.283936-4 1.100185+2 4.292480-4 1.125257+2 4.320000-4 1.218504+2 4.350232-4 1.342790+2 4.389703-4 1.538198+2 4.472464-4 2.055746+2 4.508819-4 2.321726+2 4.549280-4 2.640494+2 4.597500-4 3.044693+2 4.630000-4 3.328403+2 4.655631-4 3.557369+2 4.680000-4 3.778738+2 4.717357-4 4.123856+2 4.747864-4 4.409803+2 4.786301-4 4.773596+2 4.831551-4 5.204153+2 4.876148-4 5.628397+2 4.935820-4 6.191877+2 5.011872-4 6.894126+2 5.098993-4 7.663799+2 5.190000-4 8.424833+2 5.289257-4 9.209769+2 5.396718-4 1.001096+3 5.509211-4 1.079320+3 5.638421-4 1.161429+3 5.760000-4 1.231493+3 5.922061-4 1.313916+3 6.075001-4 1.380564+3 6.200000-4 1.426090+3 6.352787-4 1.470946+3 6.486747-4 1.496407+3 6.571435-4 1.502605+3 6.626178-4 1.500315+3 6.675139-4 1.492001+3 6.746605-4 1.470487+3 6.771714-4 1.467404+3 6.795962-4 1.474814+3 6.829361-4 1.515572+3 6.846076-4 1.554194+3 6.862754-4 1.606343+3 6.882689-4 1.685474+3 6.927274-4 1.900782+3 6.947474-4 1.994371+3 6.965828-4 2.064825+3 6.983843-4 2.114599+3 6.999295-4 2.139784+3 7.012326-4 2.148382+3 7.024094-4 2.146928+3 7.036144-4 2.137522+3 7.044976-4 2.126371+3 7.065773-4 2.089861+3 7.129901-4 1.958149+3 7.142028-4 1.938936+3 7.184802-4 1.898974+3 7.201976-4 1.896794+3 7.226813-4 1.909403+3 7.242286-4 1.927173+3 7.261173-4 1.959184+3 7.281320-4 2.004773+3 7.345890-4 2.190136+3 7.366290-4 2.242301+3 7.383096-4 2.276685+3 7.405996-4 2.308230+3 7.419982-4 2.318534+3 7.437514-4 2.322695+3 7.450164-4 2.320590+3 7.489911-4 2.296733+3 7.539304-4 2.260775+3 7.558248-4 2.251137+3 7.616556-4 2.240072+3 7.812333-4 2.280235+3 8.176121-4 2.374444+3 8.521569-4 2.455826+3 8.925344-4 2.523122+3 9.219625-4 2.553446+3 9.467751-4 2.563244+3 9.693165-4 2.553573+3 9.744285-4 2.561207+3 9.797920-4 2.579900+3 9.984065-4 2.674192+3 1.010724-3 2.724411+3 1.022557-3 2.762495+3 1.047129-3 2.817127+3 1.081059-3 2.870094+3 1.122826-3 2.915790+3 1.164407-3 2.945750+3 1.211094-3 2.972633+3 1.238023-3 2.999670+3 1.267754-3 3.019917+3 1.309241-3 3.033065+3 1.353585-3 3.033352+3 1.404527-3 3.071101+3 1.448322-3 3.085445+3 1.511904-3 3.092476+3 1.600744-3 3.091214+3 1.669167-3 3.082386+3 1.759228-3 3.058154+3 1.847736-3 3.025165+3 1.961101-3 2.977641+3 2.083291-3 2.919957+3 2.213095-3 2.843820+3 2.340858-3 2.763392+3 2.469249-3 2.674040+3 2.591242-3 2.580711+3 2.719915-3 2.473669+3 2.829416-3 2.371509+3 2.919527-3 2.279086+3 3.003041-3 2.184455+3 3.070277-3 2.099364+3 3.135391-3 2.005659+3 3.191658-3 1.910187+3 3.237302-3 1.821270+3 3.273581-3 1.739417+3 3.304171-3 1.658393+3 3.328865-3 1.582745+3 3.368842-3 1.456568+3 3.378339-3 1.433885+3 3.388960-3 1.416091+3 3.394848-3 1.410301+3 3.406132-3 1.407777+3 3.415075-3 1.413227+3 3.427866-3 1.429680+3 3.467821-3 1.498671+3 3.502924-3 1.556214+3 3.522111-3 1.594609+3 3.540314-3 1.640163+3 3.556894-3 1.692660+3 3.575927-3 1.767388+3 3.609220-3 1.915269+3 3.626865-3 1.985874+3 3.646635-3 2.053300+3 3.679748-3 2.152850+3 3.710046-3 2.240131+3 3.726697-3 2.284195+3 3.749999-3 2.338024+3 3.776902-3 2.388574+3 3.811200-3 2.438706+3 3.847877-3 2.479268+3 3.889139-3 2.512463+3 3.932160-3 2.535484+3 3.974522-3 2.547384+3 4.011291-3 2.547597+3 4.046313-3 2.537681+3 4.108067-3 2.511974+3 4.123683-3 2.513369+3 4.139315-3 2.522175+3 4.163055-3 2.551302+3 4.189395-3 2.601333+3 4.229120-3 2.685554+3 4.249771-3 2.723237+3 4.275211-3 2.760650+3 4.306854-3 2.795295+3 4.338969-3 2.821185+3 4.384595-3 2.848305+3 4.431871-3 2.868826+3 4.494148-3 2.887482+3 4.562919-3 2.899955+3 4.630926-3 2.905303+3 4.704044-3 2.904174+3 4.770200-3 2.896085+3 4.838564-3 2.879660+3 4.947378-3 2.839356+3 4.995739-3 2.833813+3 5.102846-3 2.864276+3 5.139220-3 2.870451+3 5.221771-3 2.866150+3 5.324146-3 2.853527+3 5.495409-3 2.884854+3 5.619368-3 2.883628+3 5.868005-3 2.856359+3 6.144000-3 2.807382+3 6.578472-3 2.715529+3 7.088378-3 2.596537+3 7.673615-3 2.455247+3 8.204696-3 2.328323+3 8.825955-3 2.188346+3 9.636207-3 2.015829+3 1.044870-2 1.857084+3 1.132563-2 1.700766+3 1.180140-2 1.621758+3 1.232426-2 1.539142+3 1.287887-2 1.455679+3 1.339249-2 1.381705+3 1.386787-2 1.315333+3 1.424788-2 1.263500+3 1.462093-2 1.212524+3 1.495647-2 1.166590+3 1.522758-2 1.128790+3 1.545235-2 1.096337+3 1.565660-2 1.065508+3 1.581411-2 1.040333+3 1.595976-2 1.015289+3 1.608944-2 9.906644+2 1.619381-2 9.681968+2 1.627698-2 9.477765+2 1.640129-2 9.124218+2 1.656083-2 8.653319+2 1.663280-2 8.497732+2 1.668860-2 8.427681+2 1.673653-2 8.409339+2 1.679710-2 8.441439+2 1.685461-2 8.520824+2 1.698250-2 8.791146+2 1.708206-2 9.005197+2 1.714478-2 9.116790+2 1.722090-2 9.222511+2 1.729403-2 9.296064+2 1.738404-2 9.356991+2 1.750022-2 9.401800+2 1.763149-2 9.422317+2 1.778333-2 9.419257+2 1.793700-2 9.394884+2 1.831270-2 9.275052+2 1.874522-2 9.066884+2 1.914511-2 8.822381+2 1.936564-2 8.664551+2 1.952355-2 8.537886+2 1.966754-2 8.407862+2 1.979984-2 8.270761+2 1.998434-2 8.043589+2 2.021532-2 7.748111+2 2.031890-2 7.658702+2 2.042047-2 7.618550+2 2.052878-2 7.624127+2 2.084493-2 7.725381+2 2.114745-2 7.802475+2 2.154259-2 7.985754+2 2.172426-2 8.033183+2 2.202956-2 8.047400+2 2.241879-2 8.007301+2 2.293372-2 7.909557+2 2.381300-2 7.689372+2 2.452941-2 7.487101+2 2.569384-2 7.138778+2 2.755212-2 6.589455+2 2.956457-2 6.040605+2 3.246796-2 5.344672+2 3.570062-2 4.691593+2 3.813646-2 4.269586+2 4.221881-2 3.667666+2 4.695978-2 3.107362+2 5.116433-2 2.709068+2 5.559659-2 2.360260+2 6.304679-2 1.899537+2 7.420287-2 1.423035+2 8.392051-2 1.137501+2 9.091542-2 9.782567+1 9.721090-2 8.569913+1 1.017054-1 7.789538+1 1.049388-1 7.247126+1 1.073094-1 6.838934+1 1.082302-1 6.670115+1 1.089739-1 6.524198+1 1.096026-1 6.389599+1 1.104800-1 6.176719+1 1.119649-1 5.788067+1 1.124209-1 5.699270+1 1.128912-1 5.643543+1 1.133803-1 5.629257+1 1.139340-1 5.660080+1 1.153703-1 5.826430+1 1.160197-1 5.881723+1 1.168656-1 5.918420+1 1.174918-1 5.925968+1 1.190261-1 5.904945+1 1.209201-1 5.839321+1 1.234678-1 5.718962+1 1.271234-1 5.521865+1 1.313388-1 5.282364+1 1.386980-1 4.869560+1 1.494979-1 4.317528+1 1.636129-1 3.709104+1 1.864433-1 2.953999+1 2.175417-1 2.240296+1 2.550719-1 1.674685+1 3.152791-1 1.128874+1 3.924336-1 7.458709+0 5.115023-1 4.486170+0 7.223808-1 2.296932+0 1.120601+0 9.732623-1 1.696098+0 4.297042-1 3.086391+0 1.307554-1 9.320751+0 1.438291-2 2.814822+1 1.577207-3 8.500626+1 1.729391-4 2.567148+2 1.896241-5 7.752663+2 2.079187-6 2.511886+3 1.980593-7 7.943282+3 1.980593-8 2.511886+4 1.980593-9 7.943282+4 1.98059-10 1.000000+5 1.24967-10 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.882900-6 1.258900-6 4.569100-6 1.584900-6 7.241500-6 1.995300-6 1.147700-5 2.511900-6 1.819000-5 3.162300-6 2.882900-5 3.981100-6 4.569000-5 5.011900-6 7.241300-5 6.309600-6 1.147700-4 7.943300-6 1.818900-4 1.000000-5 2.882700-4 1.258900-5 4.568800-4 1.584900-5 7.237100-4 1.995300-5 1.146200-3 2.511900-5 1.815600-3 3.162300-5 2.876200-3 3.981100-5 4.557000-3 5.011900-5 7.220600-3 6.309600-5 1.144100-2 7.943300-5 1.810100-2 1.000000-4 2.862600-2 1.258900-4 4.525200-2 1.584900-4 7.130900-2 1.995300-4 1.121600-1 2.511900-4 1.755600-1 3.162300-4 2.728800-1 3.981100-4 4.192900-1 5.011900-4 6.309000-1 6.309600-4 9.253300-1 7.943300-4 1.314700+0 1.000000-3 1.806400+0 1.258900-3 2.410800+0 1.584900-3 3.158800+0 1.995300-3 4.096600+0 2.511900-3 5.259700+0 3.162300-3 6.670400+0 3.981100-3 8.349000+0 5.011900-3 1.027000+1 6.309600-3 1.239400+1 7.943300-3 1.476100+1 1.000000-2 1.742300+1 1.258900-2 2.032900+1 1.584900-2 2.330700+1 1.995300-2 2.620400+1 2.511900-2 2.900900+1 3.162300-2 3.166900+1 3.981100-2 3.403500+1 5.011900-2 3.573300+1 6.309600-2 3.713400+1 7.943300-2 3.771100+1 1.000000-1 3.765600+1 1.258900-1 3.699200+1 1.584900-1 3.581800+1 1.995300-1 3.419700+1 2.511900-1 3.226900+1 3.162300-1 3.014500+1 3.981100-1 2.791000+1 5.011900-1 2.563400+1 6.309600-1 2.336700+1 7.943300-1 2.115300+1 1.000000+0 1.902000+1 1.258900+0 1.698400+1 1.584900+0 1.506600+1 1.995300+0 1.327500+1 2.511900+0 1.162100+1 3.162300+0 1.010800+1 3.981100+0 8.739600+0 5.011900+0 7.513900+0 6.309600+0 6.426000+0 7.943300+0 5.468900+0 1.000000+1 4.633700+0 1.258900+1 3.910200+0 1.584900+1 3.287600+0 1.995300+1 2.754900+0 2.511900+1 2.301500+0 3.162300+1 1.917600+0 3.981100+1 1.593800+0 5.011900+1 1.321800+0 6.309600+1 1.094000+0 7.943300+1 9.037600-1 1.000000+2 7.453900-1 1.258900+2 6.138500-1 1.584900+2 5.048200-1 1.995300+2 4.146200-1 2.511900+2 3.401500-1 3.162300+2 2.787400-1 3.981100+2 2.282000-1 5.011900+2 1.866400-1 6.309600+2 1.525200-1 7.943300+2 1.245300-1 1.000000+3 1.016000-1 1.258900+3 8.283500-2 1.584900+3 6.748900-2 1.995300+3 5.495000-2 2.511900+3 4.471400-2 3.162300+3 3.636300-2 3.981100+3 2.955600-2 5.011900+3 2.401000-2 6.309600+3 1.949500-2 7.943300+3 1.582200-2 1.000000+4 1.283500-2 1.258900+4 1.040700-2 1.584900+4 8.435200-3 1.995300+4 6.834100-3 2.511900+4 5.534800-3 3.162300+4 4.480800-3 3.981100+4 3.626200-3 5.011900+4 2.933600-3 6.309600+4 2.372500-3 7.943300+4 1.918100-3 1.000000+5 1.550300-3 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159558-4 3.981072-4 3.976780-4 5.011872-4 5.005121-4 6.309573-4 6.298983-4 7.943282-4 7.926726-4 1.000000-3 9.974181-4 1.258925-3 1.254900-3 1.584893-3 1.578600-3 1.995262-3 1.985389-3 2.511886-3 2.496376-3 3.162278-3 3.137927-3 3.981072-3 3.942895-3 5.011872-3 4.952199-3 6.309573-3 6.216567-3 7.943282-3 7.798275-3 1.000000-2 9.773707-3 1.258925-2 1.223681-2 1.584893-2 1.530278-2 1.995262-2 1.911092-2 2.511886-2 2.382545-2 3.162278-2 2.964184-2 3.981072-2 3.679235-2 5.011872-2 4.555491-2 6.309573-2 5.626394-2 7.943282-2 6.928573-2 1.000000-1 8.505852-2 1.258925-1 1.040986-1 1.584893-1 1.269264-1 1.995262-1 1.543167-1 2.511886-1 1.870303-1 3.162278-1 2.259442-1 3.981072-1 2.720710-1 5.011872-1 3.266193-1 6.309573-1 3.910243-1 7.943282-1 4.669679-1 1.000000+0 5.562809-1 1.258925+0 6.616490-1 1.584893+0 7.859253-1 1.995262+0 9.331215-1 2.511886+0 1.107613+0 3.162278+0 1.315351+0 3.981072+0 1.563339+0 5.011872+0 1.860237+0 6.309573+0 2.216450+0 7.943282+0 2.645034+0 1.000000+1 3.161617+0 1.258925+1 3.785833+0 1.584893+1 4.540883+0 1.995262+1 5.456144+0 2.511886+1 6.566972+0 3.162278+1 7.916963+0 3.981072+1 9.559436+0 5.011872+1 1.156022+1 6.309573+1 1.399998+1 7.943282+1 1.697763+1 1.000000+2 2.061505+1 1.258925+2 2.506236+1 1.584893+2 3.050367+1 1.995262+2 3.716732+1 2.511886+2 4.533251+1 3.162278+2 5.534511+1 3.981072+2 6.762962+1 5.011872+2 8.271298+1 6.309573+2 1.012425+2 7.943282+2 1.240187+2 1.000000+3 1.520279+2 1.258925+3 1.864937+2 1.584893+3 2.289223+2 1.995262+3 2.811693+2 2.511886+3 3.455610+2 3.162278+3 4.249305+2 3.981072+3 5.228228+2 5.011872+3 6.435841+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88188-10 1.995262-5 1.090607-9 2.511886-5 1.728468-9 3.162278-5 2.739477-9 3.981072-5 4.341843-9 5.011872-5 6.881359-9 6.309573-5 1.090593-8 7.943282-5 1.727678-8 1.000000-4 2.737403-8 1.258925-4 4.337102-8 1.584893-4 6.867240-8 1.995262-4 1.087301-7 2.511886-4 1.720420-7 3.162278-4 2.719496-7 3.981072-4 4.291389-7 5.011872-4 6.750844-7 6.309573-4 1.059031-6 7.943282-4 1.655627-6 1.000000-3 2.581887-6 1.258925-3 4.025010-6 1.584893-3 6.293056-6 1.995262-3 9.873536-6 2.511886-3 1.551070-5 3.162278-3 2.435096-5 3.981072-3 3.817639-5 5.011872-3 5.967302-5 6.309573-3 9.300650-5 7.943282-3 1.450074-4 1.000000-2 2.262934-4 1.258925-2 3.524476-4 1.584893-2 5.461477-4 1.995262-2 8.417003-4 2.511886-2 1.293415-3 3.162278-2 1.980935-3 3.981072-2 3.018367-3 5.011872-2 4.563813-3 6.309573-2 6.831798-3 7.943282-2 1.014709-2 1.000000-1 1.494148-2 1.258925-1 2.179394-2 1.584893-1 3.156292-2 1.995262-1 4.520953-2 2.511886-1 6.415834-2 3.162278-1 9.028359-2 3.981072-1 1.260362-1 5.011872-1 1.745679-1 6.309573-1 2.399330-1 7.943282-1 3.273604-1 1.000000+0 4.437191-1 1.258925+0 5.972764-1 1.584893+0 7.989679-1 1.995262+0 1.062141+0 2.511886+0 1.404274+0 3.162278+0 1.846926+0 3.981072+0 2.417732+0 5.011872+0 3.151635+0 6.309573+0 4.093123+0 7.943282+0 5.298248+0 1.000000+1 6.838383+0 1.258925+1 8.803421+0 1.584893+1 1.130805+1 1.995262+1 1.449648+1 2.511886+1 1.855189+1 3.162278+1 2.370581+1 3.981072+1 3.025128+1 5.011872+1 3.855850+1 6.309573+1 4.909576+1 7.943282+1 6.245519+1 1.000000+2 7.938495+1 1.258925+2 1.008302+2 1.584893+2 1.279856+2 1.995262+2 1.623589+2 2.511886+2 2.058561+2 3.162278+2 2.608827+2 3.981072+2 3.304776+2 5.011872+2 4.184743+2 6.309573+2 5.297148+2 7.943282+2 6.703095+2 1.000000+3 8.479721+2 1.258925+3 1.072432+3 1.584893+3 1.355971+3 1.995262+3 1.714093+3 2.511886+3 2.166325+3 3.162278+3 2.737347+3 3.981072+3 3.458249+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.130000-6 6.432361+6 4.265795-6 6.579569+6 4.466836-6 6.744320+6 4.677351-6 6.871106+6 4.710000-6 6.884315+6 4.710000-6 1.007442+7 4.786301-6 1.018286+7 4.954502-6 1.037755+7 5.000000-6 1.042142+7 5.200000-6 1.058919+7 5.308844-6 1.066857+7 5.432503-6 1.073963+7 5.623413-6 1.082954+7 5.670000-6 1.084549+7 5.670000-6 2.016623+7 5.700000-6 2.001912+7 5.821032-6 1.944849+7 6.000000-6 1.866260+7 6.025596-6 1.855666+7 6.382635-6 1.723101+7 6.500000-6 1.685419+7 6.683439-6 1.630230+7 6.760830-6 1.609017+7 6.800000-6 1.598379+7 6.800000-6 1.610592+7 7.000000-6 1.560564+7 7.100000-6 1.536823+7 7.200000-6 1.514452+7 7.328245-6 1.486744+7 7.500000-6 1.452600+7 7.600000-6 1.433336+7 7.640000-6 1.425918+7 7.640000-6 1.433267+7 7.673615-6 1.427228+7 7.700000-6 1.422535+7 7.762471-6 1.411296+7 7.852356-6 1.395740+7 7.950000-6 1.379627+7 8.035261-6 1.366182+7 8.128305-6 1.351549+7 8.200000-6 1.340704+7 8.350000-6 1.318365+7 8.609938-6 1.282984+7 8.709636-6 1.269692+7 8.912509-6 1.243265+7 9.225714-6 1.206421+7 9.549926-6 1.169002+7 9.700000-6 1.153199+7 9.772372-6 1.145880+7 9.850000-6 1.137874+7 1.035142-5 1.087786+7 1.047129-5 1.076418+7 1.096478-5 1.031089+7 1.100000-5 1.027952+7 1.109175-5 1.019912+7 1.135011-5 9.971220+6 1.161449-5 9.756589+6 1.174898-5 9.648378+6 1.202264-5 9.427327+6 1.216186-5 9.321319+6 1.230269-5 9.217975+6 1.244515-5 9.112725+6 1.290000-5 8.785414+6 1.303167-5 8.694638+6 1.310000-5 8.649062+6 1.318257-5 8.595026+6 1.333521-5 8.492311+6 1.350000-5 8.385942+6 1.396368-5 8.101196+6 1.420000-5 7.962542+6 1.428894-5 7.910622+6 1.462177-5 7.727734+6 1.479108-5 7.641363+6 1.500000-5 7.535107+6 1.548817-5 7.303057+6 1.570000-5 7.212931+6 1.584893-5 7.150001+6 1.603245-5 7.073391+6 1.621810-5 6.999810+6 1.659587-5 6.864884+6 1.678804-5 6.799577+6 1.737801-5 6.616992+6 1.770000-5 6.532625+6 1.778279-5 6.511502+6 1.800000-5 6.457337+6 1.862087-5 6.327667+6 1.905461-5 6.256176+6 1.927525-5 6.220988+6 1.980000-5 6.155093+6 2.018366-5 6.117848+6 2.041738-5 6.099361+6 2.089296-5 6.067139+6 2.113489-5 6.054517+6 2.190000-5 6.033562+6 2.213095-5 6.031201+6 2.230000-5 6.030612+6 2.238721-5 6.029679+6 2.300000-5 6.034582+6 2.344229-5 6.043741+6 2.382000-5 6.054727+6 2.382000-5 2.161641+7 2.400000-5 2.125310+7 2.430000-5 2.067179+7 2.454709-5 2.021734+7 2.511886-5 1.923839+7 2.540973-5 1.877578+7 2.570396-5 1.833322+7 2.630268-5 1.749924+7 2.660725-5 1.710440+7 2.691535-5 1.672371+7 2.722701-5 1.635968+7 2.754229-5 1.601116+7 2.770000-5 1.584128+7 2.786121-5 1.567063+7 2.851018-5 1.503605+7 2.884032-5 1.473956+7 2.900000-5 1.459974+7 3.019952-5 1.364815+7 3.054921-5 1.339542+7 3.162278-5 1.269954+7 3.198895-5 1.247893+7 3.261000-5 1.213130+7 3.261000-5 1.897122+7 3.311311-5 1.849655+7 3.326000-5 1.836205+7 3.330000-5 1.832536+7 3.349654-5 1.813918+7 3.400000-5 1.767623+7 3.427678-5 1.743348+7 3.467369-5 1.708662+7 3.507519-5 1.674869+7 3.600000-5 1.601764+7 3.630781-5 1.578553+7 3.650000-5 1.564472+7 3.672823-5 1.548131+7 3.715352-5 1.518368+7 3.845918-5 1.433701+7 3.890451-5 1.406731+7 3.900000-5 1.401035+7 3.935501-5 1.380360+7 4.073803-5 1.304981+7 4.168694-5 1.257248+7 4.216965-5 1.234073+7 4.265795-5 1.211687+7 4.300000-5 1.196570+7 4.315191-5 1.189878+7 4.365158-5 1.168103+7 4.518559-5 1.105366+7 4.570882-5 1.085350+7 4.722300-5 1.029826+7 4.786301-5 1.007798+7 4.900000-5 9.700670+6 4.954502-5 9.524880+6 5.001000-5 9.375250+6 5.001000-5 9.696290+6 5.011872-5 9.659343+6 5.101000-5 9.369267+6 5.128614-5 9.280791+6 5.150000-5 9.213222+6 5.308844-5 8.724415+6 5.370318-5 8.544035+6 5.400000-5 8.456531+6 5.432503-5 8.362850+6 5.500000-5 8.175440+6 5.580000-5 7.957436+6 5.623413-5 7.840003+6 5.730000-5 7.564297+6 5.754399-5 7.501944+6 5.800000-5 7.388038+6 5.821032-5 7.334737+6 5.888437-5 7.169152+6 5.900000-5 7.141349+6 5.956621-5 7.008094+6 6.025596-5 6.847550+6 6.070000-5 6.744154+6 6.095369-5 6.686336+6 6.165950-5 6.530378+6 6.237348-5 6.374998+6 6.300000-5 6.244441+6 6.400000-5 6.038352+6 6.456542-5 5.924008+6 6.531306-5 5.777756+6 6.580000-5 5.685410+6 6.606934-5 5.633742+6 6.683439-5 5.491059+6 6.839116-5 5.212898+6 6.918310-5 5.076418+6 7.079458-5 4.809557+6 7.150000-5 4.699250+6 7.161434-5 4.681344+6 7.328245-5 4.425982+6 7.413102-5 4.303844+6 7.585776-5 4.059185+6 7.673615-5 3.942690+6 7.762471-5 3.824649+6 7.800000-5 3.776251+6 7.943282-5 3.599028+6 8.035261-5 3.486451+6 8.222426-5 3.273218+6 8.413951-5 3.063659+6 8.500000-5 2.975403+6 8.511380-5 2.964005+6 8.810489-5 2.672477+6 9.015711-5 2.486343+6 9.120108-5 2.398746+6 9.150000-5 2.373895+6 9.225714-5 2.310995+6 9.440609-5 2.144177+6 9.549926-5 2.061939+6 9.660509-5 1.983079+6 9.772372-5 1.907660+6 9.800000-5 1.888854+6 9.840000-5 1.862059+6 9.840000-5 3.460562+6 9.849000-5 3.506184+6 9.890000-5 3.667276+6 9.930000-5 3.827126+6 9.960000-5 3.948554+6 1.000000-4 4.110050+6 1.003700-4 4.258816+6 1.007000-4 4.390185+6 1.011579-4 4.568225+6 1.016500-4 4.751471+6 1.020000-4 4.876264+6 1.025000-4 5.045289+6 1.030000-4 5.201193+6 1.035142-4 5.345973+6 1.040000-4 5.466960+6 1.045000-4 5.573791+6 1.047129-4 5.610544+6 1.050000-4 5.660675+6 1.050700-4 5.673057+6 1.055000-4 5.732047+6 1.060000-4 5.783858+6 1.060800-4 5.789272+6 1.060800-4 6.753053+6 1.062000-4 6.798418+6 1.065000-4 6.895193+6 1.066000-4 6.924572+6 1.071000-4 7.073848+6 1.071519-4 7.089317+6 1.072000-4 7.103758+6 1.075000-4 7.183021+6 1.080000-4 7.317261+6 1.082000-4 7.362302+6 1.084000-4 7.409260+6 1.087000-4 7.477315+6 1.088000-4 7.497602+6 1.092000-4 7.575156+6 1.095000-4 7.631046+6 1.096478-4 7.655066+6 1.101000-4 7.721979+6 1.105000-4 7.777049+6 1.109175-4 7.817620+6 1.110000-4 7.823775+6 1.115000-4 7.864197+6 1.120000-4 7.882461+6 1.126000-4 7.891556+6 1.128000-4 7.889675+6 1.131000-4 7.882395+6 1.137000-4 7.853697+6 1.143000-4 7.810531+6 1.148154-4 7.753357+6 1.150000-4 7.733194+6 1.157000-4 7.639491+6 1.161449-4 7.569771+6 1.165000-4 7.515157+6 1.170000-4 7.427890+6 1.173000-4 7.374085+6 1.180000-4 7.238549+6 1.190000-4 7.033354+6 1.191000-4 7.013306+6 1.203000-4 6.759838+6 1.210600-4 6.596305+6 1.216186-4 6.479083+6 1.218000-4 6.441520+6 1.230269-4 6.183481+6 1.240000-4 5.985802+6 1.244515-4 5.894047+6 1.250000-4 5.784740+6 1.273503-4 5.343608+6 1.280000-4 5.229302+6 1.288250-4 5.088009+6 1.307000-4 4.775068+6 1.315000-4 4.648681+6 1.318257-4 4.598338+6 1.333521-4 4.371383+6 1.340000-4 4.277474+6 1.350000-4 4.137208+6 1.364583-4 3.939239+6 1.365000-4 3.933759+6 1.380384-4 3.737827+6 1.381800-4 3.720389+6 1.382400-4 3.712891+6 1.396368-4 3.543602+6 1.400000-4 3.501104+6 1.415000-4 3.329058+6 1.428894-4 3.178845+6 1.445440-4 3.010665+6 1.450000-4 2.965037+6 1.462177-4 2.847213+6 1.479108-4 2.693027+6 1.480000-4 2.685193+6 1.500000-4 2.516620+6 1.510000-4 2.436359+6 1.513561-4 2.408482+6 1.540000-4 2.213682+6 1.548817-4 2.153035+6 1.566751-4 2.036143+6 1.570000-4 2.015842+6 1.600000-4 1.839665+6 1.603245-4 1.821771+6 1.621810-4 1.724594+6 1.627000-4 1.698657+6 1.659587-4 1.546555+6 1.660000-4 1.544744+6 1.678804-4 1.464974+6 1.690000-4 1.420032+6 1.698244-4 1.388468+6 1.717908-4 1.316822+6 1.720000-4 1.309490+6 1.737801-4 1.249671+6 1.760000-4 1.180055+6 1.778279-4 1.126537+6 1.786400-4 1.104148+6 1.798871-4 1.070933+6 1.810000-4 1.042413+6 1.819701-4 1.018400+6 1.835000-4 9.820592+5 1.846300-4 9.563737+5 1.850000-4 9.481601+5 1.850800-4 9.464266+5 1.862087-4 9.224415+5 1.865000-4 9.164466+5 1.880000-4 8.864540+5 1.885000-4 8.767637+5 1.895000-4 8.578250+5 1.905461-4 8.386243+5 1.908000-4 8.341358+5 1.922000-4 8.099953+5 1.927525-4 8.007540+5 1.936900-4 7.853976+5 1.940700-4 7.793038+5 1.940700-4 1.156493+6 1.950000-4 1.139363+6 1.961000-4 1.119991+6 1.965000-4 1.113084+6 1.972423-4 1.100462+6 1.973000-4 1.099502+6 1.980000-4 1.087979+6 1.985000-4 1.079877+6 1.995262-4 1.063571+6 2.000000-4 1.056185+6 2.010000-4 1.041247+6 2.015000-4 1.033916+6 2.018366-4 1.029035+6 2.025000-4 1.019535+6 2.028000-4 1.015292+6 2.040000-4 9.986264+5 2.041738-4 9.962533+5 2.055000-4 9.789473+5 2.060000-4 9.725616+5 2.065380-4 9.659596+5 2.070000-4 9.603558+5 2.085000-4 9.425606+5 2.089296-4 9.375737+5 2.098200-4 9.273721+5 2.100000-4 9.253345+5 2.113489-4 9.103267+5 2.118000-4 9.056303+5 2.120000-4 9.035645+5 2.137962-4 8.846308+5 2.140000-4 8.825270+5 2.162719-4 8.596667+5 2.170000-4 8.527773+5 2.182000-4 8.418277+5 2.187762-4 8.366605+5 2.188000-4 8.364436+5 2.213095-4 8.141176+5 2.214300-4 8.131053+5 2.215400-4 8.121839+5 2.220000-4 8.083515+5 2.264644-4 7.734727+5 2.270000-4 7.696092+5 2.280000-4 7.627523+5 2.290868-4 7.556078+5 2.317395-4 7.386838+5 2.330000-4 7.312069+5 2.344229-4 7.231695+5 2.371374-4 7.082987+5 2.380000-4 7.038987+5 2.392000-4 6.980951+5 2.398833-4 6.949447+5 2.400000-4 6.944099+5 2.426610-4 6.824426+5 2.430000-4 6.809467+5 2.450000-4 6.726430+5 2.454709-4 6.707902+5 2.458900-4 6.691550+5 2.458900-4 8.251082+5 2.483133-4 8.123754+5 2.511886-4 7.982498+5 2.540973-4 7.848766+5 2.570396-4 7.716426+5 2.580000-4 7.675513+5 2.600160-4 7.586821+5 2.625000-4 7.483636+5 2.635000-4 7.441307+5 2.660725-4 7.337853+5 2.691535-4 7.225482+5 2.700000-4 7.196254+5 2.722701-4 7.118947+5 2.743100-4 7.051154+5 2.754229-4 7.016244+5 2.786121-4 6.922197+5 2.800000-4 6.882418+5 2.818383-4 6.834930+5 2.830000-4 6.805347+5 2.851018-4 6.756592+5 2.884032-4 6.682622+5 2.900900-4 6.645886+5 2.917427-4 6.611943+5 2.951209-4 6.547120+5 2.985383-4 6.484128+5 3.000000-4 6.458741+5 3.019952-4 6.421341+5 3.030000-4 6.403252+5 3.051700-4 6.366541+5 3.051700-4 6.885372+5 3.054921-4 6.879643+5 3.090295-4 6.821818+5 3.126079-4 6.764865+5 3.162278-4 6.708904+5 3.198895-4 6.655599+5 3.200000-4 6.654007+5 3.235937-4 6.603092+5 3.273407-4 6.552312+5 3.280000-4 6.543558+5 3.311311-4 6.503938+5 3.376700-4 6.424000+5 3.388442-4 6.409986+5 3.404800-4 6.390435+5 3.467369-4 6.319769+5 3.507519-4 6.276950+5 3.550000-4 6.232424+5 3.589219-4 6.193651+5 3.630781-4 6.153265+5 3.670400-4 6.115282+5 3.670400-4 7.022570+5 3.672823-4 7.021116+5 3.715352-4 6.995844+5 3.730000-4 6.987286+5 3.758374-4 6.973314+5 3.768700-4 6.968369+5 3.776300-4 6.964666+5 3.776300-4 7.585486+5 3.777000-4 7.586973+5 3.779000-4 7.591666+5 3.785000-4 7.600336+5 3.794000-4 7.609091+5 3.800000-4 7.613167+5 3.801894-4 7.615075+5 3.808000-4 7.621400+5 3.815000-4 7.627345+5 3.822000-4 7.635989+5 3.830000-4 7.644350+5 3.845918-4 7.669178+5 3.858000-4 7.692657+5 3.869000-4 7.719673+5 3.880000-4 7.752563+5 3.890451-4 7.790593+5 3.895000-4 7.807578+5 3.898000-4 7.820650+5 3.908000-4 7.866782+5 3.912000-4 7.888037+5 3.923000-4 7.950971+5 3.928000-4 7.983727+5 3.935501-4 8.036653+5 3.940000-4 8.069212+5 3.943000-4 8.093222+5 3.958000-4 8.224438+5 3.973000-4 8.382273+5 3.980000-4 8.463076+5 3.985000-4 8.525425+5 4.000000-4 8.729260+5 4.015000-4 8.963482+5 4.027170-4 9.174242+5 4.030000-4 9.225370+5 4.045000-4 9.517163+5 4.065000-4 9.957278+5 4.073803-4 1.016629+6 4.085000-4 1.044757+6 4.090000-4 1.058083+6 4.100000-4 1.084923+6 4.115000-4 1.128570+6 4.120975-4 1.146218+6 4.140000-4 1.206283+6 4.165000-4 1.290835+6 4.168694-4 1.303659+6 4.190000-4 1.381295+6 4.200000-4 1.418783+6 4.216965-4 1.485149+6 4.220000-4 1.497043+6 4.240000-4 1.577943+6 4.265795-4 1.685324+6 4.270000-4 1.703412+6 4.290000-4 1.789409+6 4.300000-4 1.833593+6 4.315191-4 1.900791+6 4.328000-4 1.958599+6 4.343000-4 2.026309+6 4.360000-4 2.104600+6 4.365158-4 2.128011+6 4.371600-4 2.157733+6 4.390000-4 2.243197+6 4.400000-4 2.289247+6 4.415704-4 2.361941+6 4.420000-4 2.382322+6 4.430000-4 2.428304+6 4.450000-4 2.520613+6 4.460000-4 2.565855+6 4.466836-4 2.596426+6 4.485000-4 2.679757+6 4.500000-4 2.744674+6 4.518559-4 2.827532+6 4.550000-4 2.961194+6 4.580000-4 3.082507+6 4.590900-4 3.126005+6 4.615000-4 3.218589+6 4.623810-4 3.251550+6 4.630000-4 3.274922+6 4.650000-4 3.346739+6 4.680000-4 3.452092+6 4.690000-4 3.485501+6 4.731513-4 3.619744+6 4.780000-4 3.762151+6 4.786301-4 3.779926+6 4.835000-4 3.908130+6 4.841724-4 3.924922+6 4.890000-4 4.036435+6 4.897788-4 4.053306+6 4.954502-4 4.165892+6 5.011872-4 4.260405+6 5.020000-4 4.272493+6 5.069907-4 4.338786+6 5.080000-4 4.352236+6 5.128614-4 4.402433+6 5.150000-4 4.424568+6 5.188000-4 4.452522+6 5.230000-4 4.483485+6 5.260000-4 4.502083+6 5.308844-4 4.524825+6 5.320000-4 4.530020+6 5.370318-4 4.547709+6 5.400000-4 4.553821+6 5.432503-4 4.560407+6 5.495409-4 4.566775+6 5.540000-4 4.565581+6 5.559043-4 4.563273+6 5.623413-4 4.555595+6 5.650000-4 4.549877+6 5.688529-4 4.538529+6 5.754399-4 4.519353+6 5.800000-4 4.502406+6 5.821032-4 4.493009+6 5.900000-4 4.458174+6 5.956621-4 4.429550+6 6.025596-4 4.390989+6 6.095369-4 4.352756+6 6.100000-4 4.350244+6 6.150000-4 4.319760+6 6.165950-4 4.309200+6 6.200000-4 4.286834+6 6.237348-4 4.262526+6 6.309573-4 4.216157+6 6.382635-4 4.166378+6 6.456542-4 4.113919+6 6.531306-4 4.062105+6 6.606934-4 4.007353+6 6.700000-4 3.938370+6 6.760830-4 3.894326+6 6.839116-4 3.835801+6 6.850000-4 3.827786+6 7.032100-4 3.692450+6 7.032100-4 4.044281+6 7.079458-4 4.011755+6 7.161434-4 3.953164+6 7.172700-4 3.945242+6 7.244360-4 3.893335+6 7.300000-4 3.853857+6 7.437500-4 3.759575+6 7.437500-4 3.961008+6 7.500000-4 3.920765+6 7.585776-4 3.864083+6 7.586200-4 3.863790+6 7.673615-4 3.804251+6 7.800000-4 3.721423+6 7.900000-4 3.658368+6 8.000000-4 3.592930+6 8.035261-4 3.569759+6 8.128305-4 3.509974+6 8.222426-4 3.451372+6 8.280000-4 3.416204+6 8.317638-4 3.393183+6 8.413951-4 3.335580+6 8.423100-4 3.330023+6 8.430000-4 3.325750+6 8.511380-4 3.275911+6 8.709636-4 3.159135+6 8.810489-4 3.102608+6 8.850000-4 3.080939+6 9.015711-4 2.987942+6 9.120108-4 2.930960+6 9.332543-4 2.820620+6 9.440609-4 2.764997+6 9.500000-4 2.735047+6 9.549926-4 2.710025+6 9.772372-4 2.603228+6 9.885531-4 2.551641+6 9.905700-4 2.542633+6 9.905700-4 2.700547+6 9.930000-4 2.689525+6 1.000000-3 2.657995+6 1.011579-3 2.604954+6 1.023293-3 2.553153+6 1.035142-3 2.502573+6 1.047129-3 2.453129+6 1.059254-3 2.403956+6 1.070000-3 2.361346+6 1.071519-3 2.355322+6 1.083927-3 2.306104+6 1.096478-3 2.258006+6 1.100000-3 2.244815+6 1.109175-3 2.210934+6 1.122018-3 2.164707+6 1.130000-3 2.136767+6 1.135011-3 2.119351+6 1.161449-3 2.028550+6 1.174898-3 1.984561+6 1.188502-3 1.941660+6 1.190000-3 1.937030+6 1.202264-3 1.899759+6 1.210100-3 1.876351+6 1.210100-3 1.901118+6 1.216186-3 1.883259+6 1.230269-3 1.842993+6 1.244515-3 1.802443+6 1.273503-3 1.724027+6 1.280000-3 1.707227+6 1.288250-3 1.686103+6 1.303167-3 1.648990+6 1.313000-3 1.625098+6 1.318257-3 1.612541+6 1.330000-3 1.585046+6 1.333521-3 1.576852+6 1.362100-3 1.511870+6 1.362100-3 1.540403+6 1.364583-3 1.534911+6 1.380384-3 1.500416+6 1.396368-3 1.466620+6 1.412538-3 1.433685+6 1.428894-3 1.401551+6 1.445440-3 1.369711+6 1.450000-3 1.361152+6 1.462177-3 1.338411+6 1.470000-3 1.324111+6 1.480000-3 1.306059+6 1.500000-3 1.271093+6 1.513561-3 1.248243+6 1.531087-3 1.219677+6 1.548817-3 1.191850+6 1.566751-3 1.164706+6 1.570000-3 1.159892+6 1.584893-3 1.137962+6 1.603245-3 1.111335+6 1.610000-3 1.101787+6 1.621810-3 1.085311+6 1.640590-3 1.059881+6 1.650000-3 1.047499+6 1.659587-3 1.035121+6 1.698244-3 9.870475+5 1.717908-3 9.638577+5 1.730000-3 9.498226+5 1.737801-3 9.408468+5 1.778279-3 8.963540+5 1.800000-3 8.736613+5 1.819701-3 8.538417+5 1.840772-3 8.334248+5 1.850000-3 8.246761+5 1.862087-3 8.133780+5 1.883649-3 7.938224+5 1.900000-3 7.794837+5 1.905461-3 7.747850+5 1.927525-3 7.559789+5 1.949845-3 7.376545+5 1.950000-3 7.375297+5 1.972423-3 7.196989+5 2.018366-3 6.851547+5 2.065380-3 6.522240+5 2.070000-3 6.491228+5 2.089296-3 6.363498+5 2.150000-3 5.980708+5 2.162719-3 5.904991+5 2.187762-3 5.758875+5 2.213095-3 5.616320+5 2.238721-3 5.477646+5 2.300000-3 5.164519+5 2.344229-3 4.952822+5 2.348700-3 4.932043+5 2.371374-3 4.828726+5 2.398833-3 4.707782+5 2.400000-3 4.702725+5 2.426610-3 4.589514+5 2.454709-3 4.474496+5 2.483133-3 4.362603+5 2.511886-3 4.252832+5 2.540973-3 4.145652+5 2.570396-3 4.040753+5 2.600160-3 3.938647+5 2.630268-3 3.838674+5 2.660725-3 3.741463+5 2.691535-3 3.646817+5 2.722701-3 3.553993+5 2.754229-3 3.463681+5 2.786121-3 3.375631+5 2.800000-3 3.338222+5 2.818383-3 3.289012+5 2.851018-3 3.204333+5 2.884032-3 3.122029+5 2.917427-3 3.041953+5 2.951209-3 2.964114+5 2.985383-3 2.888333+5 3.019952-3 2.814101+5 3.054921-3 2.741819+5 3.090295-3 2.671243+5 3.126079-3 2.601779+5 3.162278-3 2.534136+5 3.198895-3 2.468382+5 3.235937-3 2.404413+5 3.273407-3 2.341730+5 3.311311-3 2.280739+5 3.349654-3 2.221465+5 3.400000-3 2.146669+5 3.427678-3 2.106985+5 3.443600-3 2.084580+5 3.443600-3 5.050922+5 3.467369-3 4.973126+5 3.548134-3 4.721516+5 3.589219-3 4.600418+5 3.600000-3 4.572315+5 3.616100-3 4.518870+5 3.616100-3 6.463470+5 3.641000-3 6.344744+5 3.645000-3 6.325950+5 3.672823-3 6.201281+5 3.715352-3 6.017084+5 3.758374-3 5.838381+5 3.801894-3 5.664982+5 3.900000-3 5.310146+5 3.935501-3 5.189242+5 3.981072-3 5.039487+5 4.027170-3 4.894150+5 4.073803-3 4.750480+5 4.120975-3 4.611055+5 4.159400-3 4.501656+5 4.159400-3 5.248780+5 4.168694-3 5.220188+5 4.216965-3 5.075151+5 4.230000-3 5.036986+5 4.265795-3 4.933233+5 4.300000-3 4.837378+5 4.315191-3 4.795650+5 4.365158-3 4.661803+5 4.400000-3 4.571641+5 4.415704-3 4.531447+5 4.466836-3 4.403100+5 4.518559-3 4.278505+5 4.570882-3 4.157452+5 4.623810-3 4.038952+5 4.677351-3 3.923342+5 4.731513-3 3.811096+5 4.800000-3 3.675380+5 4.841724-3 3.596046+5 4.897788-3 3.493106+5 4.954502-3 3.393227+5 5.001800-3 3.313018+5 5.001800-3 3.518293+5 5.011872-3 3.501164+5 5.069907-3 3.404064+5 5.128614-3 3.309781+5 5.188000-3 3.218193+5 5.248075-3 3.128808+5 5.300000-3 3.054199+5 5.308844-3 3.041646+5 5.334900-3 3.005000+5 5.334900-3 3.133019+5 5.370318-3 3.083054+5 5.379000-3 3.070983+5 5.432503-3 2.998017+5 5.495409-3 2.915458+5 5.500000-3 2.909583+5 5.623413-3 2.757449+5 5.754399-3 2.606839+5 5.821032-3 2.534963+5 5.888437-3 2.464856+5 5.956621-3 2.396405+5 5.960000-3 2.393085+5 6.025596-3 2.329745+5 6.095369-3 2.265008+5 6.165950-3 2.202173+5 6.237348-3 2.141003+5 6.309573-3 2.081638+5 6.382635-3 2.023565+5 6.500000-3 1.935133+5 6.531306-3 1.912382+5 6.606934-3 1.858753+5 6.683439-3 1.806595+5 6.760830-3 1.755999+5 6.800000-3 1.731175+5 6.839116-3 1.706762+5 6.918310-3 1.658847+5 7.000000-3 1.611318+5 7.079458-3 1.566570+5 7.161434-3 1.522290+5 7.244360-3 1.479343+5 7.328245-3 1.437590+5 7.378200-3 1.413236+5 7.413102-3 1.396562+5 7.498942-3 1.356678+5 7.585776-3 1.317996+5 7.673615-3 1.280442+5 7.852356-3 1.208654+5 7.943282-3 1.174380+5 8.035261-3 1.141130+5 8.128305-3 1.108806+5 8.222426-3 1.077369+5 8.317638-3 1.046872+5 8.413951-3 1.017251+5 8.511380-3 9.885162+4 8.609938-3 9.604645+4 8.709636-3 9.330168+4 8.720000-3 9.302211+4 8.810489-3 9.062082+4 8.912509-3 8.802018+4 9.015711-3 8.549829+4 9.120108-3 8.305134+4 9.225714-3 8.067410+4 9.332543-3 7.835617+4 9.440609-3 7.608564+4 9.660509-3 7.174593+4 9.772372-3 6.967499+4 9.885531-3 6.766521+4 1.011579-2 6.382751+4 1.023293-2 6.199454+4 1.035142-2 6.020825+4 1.047129-2 5.847594+4 1.059254-2 5.679578+4 1.083927-2 5.357658+4 1.096478-2 5.203190+4 1.122018-2 4.904526+4 1.135011-2 4.762015+4 1.148154-2 4.623881+4 1.150000-2 4.604943+4 1.161449-2 4.489533+4 1.174898-2 4.359095+4 1.188502-2 4.232181+4 1.190000-2 4.218532+4 1.202264-2 4.109046+4 1.216186-2 3.989144+4 1.230269-2 3.872935+4 1.244515-2 3.760299+4 1.258925-2 3.650610+4 1.273503-2 3.544290+4 1.288250-2 3.440731+4 1.303167-2 3.340352+4 1.318257-2 3.242980+4 1.333521-2 3.148447+4 1.348963-2 3.056729+4 1.364583-2 2.967824+4 1.380384-2 2.881645+4 1.400000-2 2.778422+4 1.412538-2 2.714810+4 1.428894-2 2.634832+4 1.445440-2 2.557332+4 1.462177-2 2.482208+4 1.479108-2 2.409394+4 1.496236-2 2.338624+4 1.500000-2 2.323463+4 1.513561-2 2.269952+4 1.531087-2 2.203328+4 1.548817-2 2.138750+4 1.566751-2 2.076134+4 1.580000-2 2.031551+4 1.584893-2 2.015358+4 1.603245-2 1.956119+4 1.621810-2 1.898240+4 1.640590-2 1.842149+4 1.659587-2 1.787790+4 1.674300-2 1.747250+4 1.674300-2 4.173827+4 1.678804-2 4.146200+4 1.686000-2 4.102591+4 1.698244-2 4.029882+4 1.700000-2 4.019602+4 1.717908-2 3.909928+4 1.737801-2 3.792858+4 1.757924-2 3.679322+4 1.770000-2 3.613195+4 1.778279-2 3.567682+4 1.798871-2 3.457875+4 1.800000-2 3.451991+4 1.819701-2 3.351429+4 1.820000-2 3.349934+4 1.840772-2 3.249677+4 1.862087-2 3.150958+4 1.883649-2 3.055292+4 1.905461-2 2.962563+4 1.927525-2 2.872696+4 1.930000-2 2.862840+4 1.972423-2 2.697937+4 1.995262-2 2.614578+4 2.018366-2 2.533813+4 2.040200-2 2.460630+4 2.040200-2 3.473809+4 2.041738-2 3.467283+4 2.065380-2 3.368797+4 2.089296-2 3.268730+4 2.111300-2 3.180241+4 2.111300-2 3.673432+4 2.113489-2 3.663671+4 2.120000-2 3.634839+4 2.126000-2 3.608549+4 2.137962-2 3.558384+4 2.162719-2 3.456183+4 2.187762-2 3.356999+4 2.200000-2 3.310001+4 2.213095-2 3.261046+4 2.238721-2 3.168747+4 2.264644-2 3.077846+4 2.300000-2 2.959711+4 2.317395-2 2.904572+4 2.344229-2 2.821449+4 2.371374-2 2.740784+4 2.398833-2 2.662356+4 2.400000-2 2.659094+4 2.426610-2 2.585437+4 2.454709-2 2.509914+4 2.511886-2 2.365531+4 2.540973-2 2.296570+4 2.570396-2 2.229681+4 2.600160-2 2.164729+4 2.630268-2 2.101711+4 2.691535-2 1.981490+4 2.722701-2 1.923996+4 2.754229-2 1.868199+4 2.786121-2 1.814018+4 2.800000-2 1.791063+4 2.818383-2 1.761280+4 2.884032-2 1.659704+4 2.900000-2 1.636258+4 2.917427-2 1.611194+4 2.985383-2 1.517918+4 3.000000-2 1.498835+4 3.019952-2 1.473323+4 3.090295-2 1.388025+4 3.126079-2 1.347285+4 3.162278-2 1.307772+4 3.198895-2 1.269241+4 3.230000-2 1.237529+4 3.235937-2 1.231565+4 3.273407-2 1.194834+4 3.300000-2 1.169687+4 3.311311-2 1.159207+4 3.349654-2 1.124645+4 3.427678-2 1.058660+4 3.467369-2 1.027163+4 3.500000-2 1.002212+4 3.548134-2 9.669014+3 3.589219-2 9.381315+3 3.630781-2 9.102311+3 3.715352-2 8.569555+3 3.758374-2 8.315275+3 3.845918-2 7.829565+3 3.890451-2 7.596125+3 3.935501-2 7.369608+3 4.000000-2 7.061528+3 4.027170-2 6.936226+3 4.073803-2 6.728352+3 4.120975-2 6.526679+3 4.168694-2 6.329671+3 4.216965-2 6.138756+3 4.265795-2 5.953727+3 4.315191-2 5.774408+3 4.365158-2 5.600624+3 4.466836-2 5.268919+3 4.518559-2 5.110646+3 4.570882-2 4.957240+3 4.623810-2 4.808416+3 4.677351-2 4.663997+3 4.731513-2 4.523576+3 4.786301-2 4.387482+3 4.800000-2 4.354343+3 4.841724-2 4.255448+3 4.897788-2 4.126807+3 5.011872-2 3.881318+3 5.069907-2 3.763688+3 5.188000-2 3.539267+3 5.248075-2 3.432243+3 5.308844-2 3.328530+3 5.370318-2 3.227333+3 5.432503-2 3.129099+3 5.495409-2 3.033919+3 5.623413-2 2.852301+3 5.688529-2 2.765599+3 5.754399-2 2.681578+3 5.821032-2 2.600161+3 5.888437-2 2.521269+3 5.956621-2 2.444823+3 6.025596-2 2.370744+3 6.165950-2 2.228893+3 6.237348-2 2.161253+3 6.309573-2 2.095495+3 6.382635-2 2.031729+3 6.456542-2 1.969476+3 6.531306-2 1.909164+3 6.606934-2 1.850725+3 6.683439-2 1.794099+3 6.760830-2 1.739198+3 6.839116-2 1.686005+3 6.998420-2 1.584545+3 7.079458-2 1.536174+3 7.328245-2 1.399908+3 7.498942-2 1.315979+3 7.500000-2 1.315481+3 7.673615-2 1.236495+3 7.762471-2 1.198551+3 7.852356-2 1.161708+3 7.943282-2 1.126013+3 8.035261-2 1.091429+3 8.128305-2 1.057904+3 8.222426-2 1.025427+3 8.413951-2 9.634837+2 8.609938-2 9.053495+2 8.709636-2 8.776360+2 8.810489-2 8.506549+2 9.015711-2 7.991971+2 9.120108-2 7.746675+2 9.225714-2 7.508647+2 9.332543-2 7.277995+2 9.772372-2 6.425154+2 1.000000-1 6.037468+2 1.011580-1 5.852607+2 1.023293-1 5.672558+2 1.035142-1 5.497968+2 1.059254-1 5.164970+2 1.071519-1 5.006160+2 1.096478-1 4.703244+2 1.109175-1 4.558835+2 1.122019-1 4.418929+2 1.130800-1 4.326593+2 1.130800-1 1.859327+3 1.142000-1 1.815039+3 1.146000-1 1.796243+3 1.148154-1 1.788708+3 1.153000-1 1.771924+3 1.165000-1 1.722581+3 1.180000-1 1.672033+3 1.188502-1 1.640998+3 1.202264-1 1.592429+3 1.216186-1 1.545246+3 1.220000-1 1.532659+3 1.230269-1 1.501147+3 1.273503-1 1.378031+3 1.288250-1 1.337678+3 1.303167-1 1.298512+3 1.333521-1 1.223602+3 1.348963-1 1.187788+3 1.364583-1 1.153028+3 1.380384-1 1.119289+3 1.396368-1 1.086542+3 1.428894-1 1.023903+3 1.445440-1 9.941989+2 1.479108-1 9.373504+2 1.496236-1 9.101605+2 1.500000-1 9.043283+2 1.531088-1 8.580916+2 1.548817-1 8.331899+2 1.584893-1 7.855420+2 1.603245-1 7.627637+2 1.621810-1 7.404372+2 1.640590-1 7.187663+2 1.659587-1 6.977422+2 1.737801-1 6.196363+2 1.757924-1 6.015203+2 1.778279-1 5.839365+2 1.819701-1 5.502991+2 1.862087-1 5.186086+2 1.883649-1 5.034563+2 1.905461-1 4.887479+2 1.927525-1 4.744709+2 1.949845-1 4.606123+2 1.995262-1 4.341020+2 2.000000-1 4.314609+2 2.018366-1 4.214323+2 2.041738-1 4.091333+2 2.065380-1 3.971960+2 2.137962-1 3.634596+2 2.187762-1 3.425798+2 2.264644-1 3.134931+2 2.290868-1 3.043591+2 2.317395-1 2.954921+2 2.344229-1 2.868843+2 2.371374-1 2.785276+2 2.398833-1 2.704196+2 2.454709-1 2.549062+2 2.483133-1 2.474872+2 2.511886-1 2.402897+2 2.540973-1 2.333815+2 2.570396-1 2.266737+2 2.600160-1 2.201596+2 2.630268-1 2.138332+2 2.660725-1 2.076907+2 2.722701-1 1.959325+2 2.754229-1 1.903058+2 2.786121-1 1.848443+2 2.818383-1 1.795399+2 2.851018-1 1.743881+2 2.884032-1 1.693842+2 2.917427-1 1.645244+2 2.951209-1 1.598077+2 3.000000-1 1.533228+2 3.019952-1 1.507767+2 3.054921-1 1.465154+2 3.090295-1 1.423822+2 3.126079-1 1.383664+2 3.162278-1 1.344642+2 3.198895-1 1.306744+2 3.235937-1 1.269920+2 3.273407-1 1.234149+2 3.311311-1 1.199387+2 3.311800-1 1.198948+2 3.349654-1 1.165606+2 3.388442-1 1.132777+2 3.427678-1 1.100902+2 3.507519-1 1.039821+2 3.548134-1 1.010571+2 3.589219-1 9.825890+1 3.630781-1 9.553975+1 3.672823-1 9.289618+1 3.715352-1 9.032598+1 3.758374-1 8.783110+1 3.801894-1 8.540527+1 3.845918-1 8.304657+1 3.890451-1 8.075345+1 3.935501-1 7.852645+1 4.027170-1 7.425536+1 4.073803-1 7.220965+1 4.120975-1 7.025943+1 4.168694-1 6.836197+1 4.216965-1 6.651604+1 4.265795-1 6.472004+1 4.315191-1 6.297259+1 4.365158-1 6.127243+1 4.415705-1 5.962167+1 4.518559-1 5.645560+1 4.570882-1 5.493759+1 4.623810-1 5.346144+1 4.677351-1 5.202506+1 4.731513-1 5.065250+1 4.786301-1 4.931633+1 4.841724-1 4.801545+1 4.954502-1 4.551588+1 5.000000-1 4.456008+1 5.011872-1 4.431541+1 5.069907-1 4.314852+1 5.128614-1 4.201482+1 5.188000-1 4.091120+1 5.248075-1 3.983683+1 5.308844-1 3.879126+1 5.370318-1 3.779237+1 5.432503-1 3.681933+1 5.495409-1 3.587137+1 5.559043-1 3.494785+1 5.623413-1 3.404876+1 5.688529-1 3.317367+1 5.754399-1 3.232110+1 5.821032-1 3.149068+1 5.888437-1 3.068161+1 5.956621-1 2.989517+1 6.000000-1 2.940991+1 6.025596-1 2.912890+1 6.095369-1 2.839999+1 6.165950-1 2.768972+1 6.237348-1 2.699761+1 6.309573-1 2.632292+1 6.382635-1 2.566581+1 6.456542-1 2.502515+1 6.531306-1 2.440050+1 6.606935-1 2.379161+1 6.683439-1 2.319794+1 6.760830-1 2.261912+1 6.804800-1 2.229960+1 6.839117-1 2.205533+1 6.918310-1 2.151793+1 6.998420-1 2.099383+1 7.079458-1 2.048329+1 7.161434-1 1.998520+1 7.244360-1 1.949924+1 7.328245-1 1.902511+1 7.413102-1 1.856263+1 7.498942-1 1.811141+1 7.585776-1 1.767119+1 7.673615-1 1.724187+1 7.682800-1 1.719787+1 7.762471-1 1.682304+1 7.852356-1 1.641544+1 7.943282-1 1.602650+1 8.035261-1 1.564685+1 8.128305-1 1.527639+1 8.222427-1 1.491471+1 8.317638-1 1.456160+1 8.413951-1 1.421695+1 8.511380-1 1.388048+1 8.609938-1 1.355198+1 8.611500-1 1.354687+1 8.709636-1 1.323149+1 8.810489-1 1.291864+1 8.912509-1 1.261431+1 9.015711-1 1.231715+1 9.120108-1 1.202707+1 9.225714-1 1.175008+1 9.332543-1 1.147968+1 9.440609-1 1.121557+1 9.549926-1 1.095755+1 9.660509-1 1.070551+1 9.772372-1 1.045964+1 9.885531-1 1.021963+1 1.000000+0 9.985267+0 1.011579+0 9.756847+0 1.023293+0 9.538480+0 1.035142+0 9.325116+0 1.047129+0 9.116533+0 1.059254+0 8.913071+0 1.071519+0 8.714157+0 1.083927+0 8.519706+0 1.096478+0 8.329670+0 1.109175+0 8.143866+0 1.122018+0 7.962220+0 1.135011+0 7.784611+0 1.148154+0 7.611109+0 1.161449+0 7.441688+0 1.188502+0 7.114158+0 1.202264+0 6.955839+0 1.216186+0 6.801512+0 1.230269+0 6.654517+0 1.244515+0 6.510790+0 1.250000+0 6.456714+0 1.258925+0 6.370178+0 1.273503+0 6.232638+0 1.288250+0 6.098223+0 1.303167+0 5.966714+0 1.318257+0 5.838040+0 1.333521+0 5.712147+0 1.348963+0 5.588959+0 1.364583+0 5.468908+0 1.380384+0 5.354376+0 1.396368+0 5.242242+0 1.412538+0 5.132469+0 1.428894+0 5.025011+0 1.496236+0 4.617567+0 1.500000+0 4.596313+0 1.513561+0 4.520980+0 1.531087+0 4.426412+0 1.548817+0 4.336691+0 1.566751+0 4.248816+0 1.640590+0 3.914755+0 1.659587+0 3.835430+0 1.678804+0 3.757716+0 1.698244+0 3.681651+0 1.717908+0 3.607161+0 1.737801+0 3.534182+0 1.757924+0 3.464838+0 1.778279+0 3.396860+0 1.798871+0 3.330229+0 1.819701+0 3.264907+0 1.840772+0 3.200866+0 1.862087+0 3.138082+0 1.883649+0 3.076530+0 1.905461+0 3.016189+0 1.927525+0 2.957033+0 1.949845+0 2.899128+0 1.972423+0 2.842366+0 1.995262+0 2.786904+0 2.000000+0 2.775910+0 2.018366+0 2.733944+0 2.041738+0 2.682003+0 2.044000+0 2.677060+0 2.065380+0 2.631051+0 2.089296+0 2.581067+0 2.113489+0 2.532032+0 2.137962+0 2.483929+0 2.187762+0 2.390455+0 2.213095+0 2.345117+0 2.238721+0 2.300647+0 2.264644+0 2.257019+0 2.290868+0 2.215489+0 2.317395+0 2.174758+0 2.344229+0 2.134787+0 2.371374+0 2.095550+0 2.398833+0 2.057035+0 2.426610+0 2.019228+0 2.454709+0 1.982115+0 2.511886+0 1.909932+0 2.540973+0 1.874886+0 2.570396+0 1.840490+0 2.600160+0 1.806725+0 2.630268+0 1.774590+0 2.660725+0 1.743051+0 2.691535+0 1.712081+0 2.722701+0 1.681661+0 2.754229+0 1.651782+0 2.786121+0 1.622434+0 2.818383+0 1.593608+0 2.884032+0 1.537486+0 2.917427+0 1.510216+0 2.951209+0 1.483432+0 3.000000+0 1.446103+0 3.019952+0 1.431724+0 3.054921+0 1.407107+0 3.090295+0 1.382921+0 3.126079+0 1.359150+0 3.162278+0 1.335787+0 3.198895+0 1.312827+0 3.235937+0 1.290261+0 3.349654+0 1.224870+0 3.388442+0 1.203851+0 3.427678+0 1.183197+0 3.467369+0 1.162896+0 3.507519+0 1.143532+0 3.548134+0 1.124505+0 3.589219+0 1.105799+0 3.630781+0 1.087405+0 3.672823+0 1.069317+0 3.715352+0 1.051530+0 3.758374+0 1.034039+0 3.890451+0 9.832960-1 3.935501+0 9.669668-1 4.000000+0 9.443744-1 4.027170+0 9.351227-1 4.073803+0 9.200530-1 4.120975+0 9.052380-1 4.168694+0 8.906651-1 4.216965+0 8.763272-1 4.265795+0 8.622200-1 4.315191+0 8.483399-1 4.365158+0 8.346835-1 4.415704+0 8.212468-1 4.570882+0 7.822239-1 4.623810+0 7.696530-1 4.677351+0 7.572857-1 4.731513+0 7.451171-1 4.786301+0 7.334994-1 4.841724+0 7.220717-1 4.897788+0 7.108251-1 4.954502+0 6.997536-1 5.011872+0 6.888548-1 5.069907+0 6.781256-1 5.128614+0 6.675635-1 5.188000+0 6.571661-1 5.432503+0 6.171740-1 5.495409+0 6.075773-1 5.559043+0 5.981313-1 5.623413+0 5.888323-1 5.688529+0 5.799507-1 5.754399+0 5.712100-1 5.821032+0 5.626033-1 5.888437+0 5.541263-1 5.956621+0 5.457772-1 6.025596+0 5.375538-1 6.095369+0 5.294544-1 6.165950+0 5.214770-1 6.456542+0 4.907541-1 6.531306+0 4.833718-1 6.606934+0 4.761017-1 6.683439+0 4.689409-1 6.760830+0 4.620825-1 6.839116+0 4.553294-1 6.918310+0 4.486765-1 7.079458+0 4.356611-1 7.161434+0 4.292957-1 7.244360+0 4.230233-1 7.328245+0 4.168426-1 7.413102+0 4.107522-1 7.852356+0 3.816115-1 7.943282+0 3.760455-1 8.035261+0 3.705607-1 8.128305+0 3.652914-1 8.222427+0 3.601178-1 8.317638+0 3.550188-1 8.511380+0 3.450363-1 8.609938+0 3.401508-1 8.709636+0 3.353346-1 8.810489+0 3.305865-1 8.912509+0 3.259058-1 9.440609+0 3.034791-1 9.549926+0 2.991889-1 9.660509+0 2.949594-1 9.772372+0 2.908806-1 9.885531+0 2.868716-1 1.011579+1 2.790205-1 1.047129+1 2.676444-1 1.071519+1 2.603196-1 1.083927+1 2.567325-1 1.109175+1 2.497062-1 1.122018+1 2.462656-1 1.161449+1 2.362259-1 1.174898+1 2.329759-1 1.188502+1 2.298394-1 1.202264+1 2.267556-1 1.230269+1 2.207127-1 1.244515+1 2.177520-1 1.318257+1 2.035336-1 1.348963+1 1.981097-1 1.364583+1 1.954523-1 1.380384+1 1.928304-1 1.396368+1 1.902438-1 1.412538+1 1.876918-1 1.428894+1 1.851774-1 1.445440+1 1.827482-1 1.462177+1 1.803529-1 1.531087+1 1.710813-1 1.603245+1 1.622863-1 1.698244+1 1.519256-1 1.717908+1 1.499343-1 1.737801+1 1.479691-1 1.757924+1 1.460387-1 1.862087+1 1.369386-1 2.137962+1 1.173450-1 2.213095+1 1.129014-1 2.238721+1 1.114579-1 2.264644+1 1.100357-1 2.290868+1 1.086345-1 2.426610+1 1.020019-1 2.454709+1 1.007248-1 2.851018+1 8.550716-2 2.917427+1 8.337940-2 2.951209+1 8.233756-2 2.985383+1 8.131103-2 3.162278+1 7.645153-2 3.273407+1 7.367637-2 4.000000+1 5.944674-2 4.027170+1 5.901749-2 4.120975+1 5.758050-2 4.168694+1 5.687598-2 4.216965+1 5.618194-2 4.518559+1 5.225320-2 4.731513+1 4.978787-2 5.821032+1 4.005643-2 5.888437+1 3.957536-2 5.956621+1 3.910008-2 6.025596+1 3.863050-2 6.095369+1 3.816659-2 6.165950+1 3.770865-2 6.237348+1 3.725717-2 6.309573+1 3.681111-2 6.918310+1 3.347066-2 7.413102+1 3.116580-2 9.225714+1 2.486317-2 9.332543+1 2.456927-2 9.549926+1 2.399184-2 9.660509+1 2.370834-2 9.772372+1 2.342831-2 9.885531+1 2.315206-2 1.161449+2 1.964313-2 1.318257+2 1.726344-2 1.757924+2 1.287257-2 1.778279+2 1.272233-2 1.819701+2 1.242710-2 1.840772+2 1.228209-2 1.862087+2 1.213882-2 1.883649+2 1.199722-2 1.905461+2 1.185851-2 2.317395+2 9.731313-3 2.630268+2 8.562803-3 3.507519+2 6.402556-3 3.548134+2 6.328531-3 3.630781+2 6.183038-3 3.672823+2 6.111560-3 3.715352+2 6.040922-3 3.758374+2 5.971104-3 3.801894+2 5.902485-3 4.623810+2 4.849540-3 5.248075+2 4.270553-3 1.396368+3 1.598868-3 1.412538+3 1.580493-3 1.445440+3 1.544377-3 1.462177+3 1.526632-3 1.479108+3 1.509092-3 1.496236+3 1.491753-3 1.513561+3 1.474672-3 1.840772+3 1.212462-3 2.089296+3 1.068195-3 1.000000+5 2.229030-5 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.130000-6 4.130000-6 4.710000-6 4.130000-6 4.710000-6 4.313659-6 5.670000-6 4.332589-6 5.670000-6 4.950734-6 6.500000-6 4.807649-6 6.800000-6 4.766168-6 6.800000-6 4.781590-6 7.640000-6 4.696187-6 7.640000-6 4.711281-6 8.350000-6 4.668416-6 9.225714-6 4.641465-6 1.035142-5 4.640380-6 1.161449-5 4.674735-6 1.290000-5 4.744048-6 1.428894-5 4.855421-6 1.570000-5 5.004236-6 1.737801-5 5.220835-6 2.113489-5 5.760359-6 2.300000-5 6.001311-6 2.382000-5 6.095350-6 2.382000-5 1.885535-5 2.900000-5 1.635393-5 3.162278-5 1.517703-5 3.261000-5 1.476817-5 3.261000-5 2.120089-5 3.507519-5 2.030003-5 3.935501-5 1.868284-5 4.315191-5 1.734388-5 4.570882-5 1.652309-5 4.786301-5 1.590016-5 5.001000-5 1.535062-5 5.001000-5 1.649818-5 5.150000-5 1.609565-5 5.400000-5 1.550193-5 5.623413-5 1.506227-5 5.888437-5 1.463316-5 6.165950-5 1.428125-5 6.456542-5 1.400363-5 6.683439-5 1.383224-5 6.918310-5 1.369916-5 7.161434-5 1.359734-5 7.585776-5 1.350312-5 8.035261-5 1.349488-5 8.511380-5 1.358304-5 9.015711-5 1.378645-5 9.549926-5 1.410466-5 9.840000-5 1.432288-5 9.840000-5 5.315979-5 9.849000-5 5.389533-5 9.890000-5 5.648231-5 9.930000-5 5.881257-5 9.960000-5 6.044418-5 1.000000-4 6.245734-5 1.007000-4 6.558370-5 1.011579-4 6.737209-5 1.016500-4 6.910432-5 1.025000-4 7.165378-5 1.030000-4 7.292131-5 1.040000-4 7.501372-5 1.050700-4 7.672102-5 1.060800-4 7.792306-5 1.060800-4 8.194155-5 1.075000-4 8.416238-5 1.092000-4 8.627714-5 1.110000-4 8.796150-5 1.131000-4 8.933658-5 1.157000-4 9.031035-5 1.191000-4 9.085770-5 1.288250-4 9.111363-5 1.450000-4 9.097296-5 1.627000-4 9.004942-5 1.786400-4 8.855363-5 1.927525-4 8.654993-5 1.940700-4 8.632879-5 1.940700-4 1.046164-4 2.120000-4 1.050213-4 2.290868-4 1.043682-4 2.458900-4 1.034028-4 2.458900-4 1.183983-4 2.580000-4 1.170315-4 3.000000-4 1.098376-4 3.051700-4 1.091764-4 3.051700-4 1.172537-4 3.311311-4 1.147069-4 3.589219-4 1.126771-4 3.670400-4 1.122153-4 3.670400-4 1.241252-4 3.776300-4 1.243061-4 3.776300-4 1.308114-4 3.858000-4 1.324247-4 3.898000-4 1.338886-4 3.940000-4 1.363548-4 3.980000-4 1.397945-4 4.015000-4 1.436180-4 4.085000-4 1.526059-4 4.140000-4 1.597711-4 4.200000-4 1.666616-4 4.240000-4 1.705949-4 4.300000-4 1.754752-4 4.371600-4 1.799815-4 4.460000-4 1.840315-4 4.550000-4 1.869077-4 4.690000-4 1.897530-4 4.890000-4 1.920310-4 5.188000-4 1.935918-4 5.754399-4 1.945551-4 7.032100-4 1.944689-4 7.032100-4 2.059253-4 7.437500-4 2.069888-4 7.437500-4 2.133253-4 8.850000-4 2.186168-4 9.905700-4 2.220842-4 9.905700-4 2.334105-4 1.188502-3 2.406803-4 1.210100-3 2.413953-4 1.210100-3 2.446119-4 1.362100-3 2.499351-4 1.362100-3 2.549171-4 1.659587-3 2.648743-4 2.018366-3 2.746220-4 2.426610-3 2.837097-4 2.985383-3 2.936028-4 3.443600-3 3.001886-4 3.443600-3 4.400813-4 3.616100-3 4.411277-4 3.616100-3 4.692468-4 4.159400-3 4.686615-4 4.159400-3 5.042540-4 5.001800-3 5.092622-4 5.001800-3 5.273998-4 5.334900-3 5.307793-4 5.334900-3 5.463850-4 7.079458-3 5.657297-4 9.225714-3 5.845147-4 1.188502-2 6.024498-4 1.513561-2 6.191096-4 1.674300-2 6.258722-4 1.674300-2 7.598033-4 2.040200-2 7.639462-4 2.040200-2 8.118412-4 2.111300-2 8.128487-4 2.111300-2 8.698485-4 2.917427-2 8.910783-4 4.120975-2 9.130925-4 5.754399-2 9.335887-4 7.943282-2 9.524157-4 1.096478-1 9.697048-4 1.130800-1 9.712639-4 1.130800-1 8.913693-4 2.818383-1 8.969920-4 7.852356-1 8.998349-4 1.000000+5 9.000977-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.130000-6 0.0 1.940700-4 0.0 1.940700-4 1.894111-9 2.000000-4 1.989508-9 2.070000-4 2.089097-9 2.120000-4 2.153096-9 2.182000-4 2.209626-9 2.220000-4 2.235687-9 2.330000-4 2.289351-9 2.430000-4 2.316726-9 2.458900-4 2.320747-9 2.458900-4 4.160990-9 2.540973-4 4.116323-9 2.600160-4 4.055637-9 2.660725-4 3.971104-9 2.818383-4 3.726041-9 3.030000-4 3.421875-9 3.051700-4 3.395916-9 3.051700-4 3.703980-9 3.235937-4 3.504930-9 3.404800-4 3.343395-9 3.589219-4 3.191868-9 3.670400-4 3.132612-9 3.670400-4 1.723660-8 3.730000-4 1.759452-8 3.776300-4 1.792390-8 3.776300-4 1.943768-8 3.808000-4 1.985248-8 3.822000-4 2.009184-8 3.830000-4 2.024392-8 3.845918-4 2.064148-8 3.858000-4 2.101625-8 3.869000-4 2.142080-8 3.880000-4 2.189003-8 3.898000-4 2.281195-8 3.912000-4 2.366204-8 3.923000-4 2.440574-8 3.943000-4 2.598128-8 3.958000-4 2.731810-8 3.980000-4 2.953831-8 4.000000-4 3.178373-8 4.030000-4 3.545485-8 4.090000-4 4.317442-8 4.120975-4 4.691974-8 4.140000-4 4.908295-8 4.168694-4 5.202850-8 4.190000-4 5.401578-8 4.220000-4 5.648043-8 4.240000-4 5.796058-8 4.270000-4 5.993639-8 4.300000-4 6.165957-8 4.328000-4 6.306730-8 4.371600-4 6.489172-8 4.420000-4 6.653239-8 4.466836-4 6.771112-8 4.518559-4 6.872662-8 4.590900-4 6.972584-8 4.690000-4 7.062032-8 4.841724-4 7.148945-8 5.020000-4 7.193582-8 5.400000-4 7.229002-8 6.100000-4 7.223578-8 7.032100-4 7.174221-8 7.032100-4 7.359370-8 7.437500-4 7.354622-8 7.437500-4 8.260349-8 8.430000-4 8.494804-8 9.905700-4 8.783873-8 9.905700-4 1.076594-7 1.059254-3 1.102571-7 1.210100-3 1.150893-7 1.210100-3 1.200268-7 1.362100-3 1.255235-7 1.362100-3 1.350585-7 1.621810-3 1.454353-7 1.883649-3 1.547811-7 2.238721-3 1.660854-7 2.540973-3 1.746271-7 2.951209-3 1.849825-7 3.443600-3 1.959387-7 3.443600-3 2.431456-7 3.616100-3 2.446332-7 3.616100-3 4.615148-5 3.801894-3 4.563019-5 4.159400-3 4.548148-5 4.159400-3 4.558504-5 4.731513-3 4.526808-5 5.001800-3 4.506861-5 5.001800-3 5.040495-5 5.334900-3 5.071951-5 5.334900-3 5.166117-5 6.760830-3 5.295469-5 8.128305-3 5.393906-5 1.059254-2 5.536322-5 1.400000-2 5.681303-5 1.674300-2 5.768968-5 1.674300-2 3.605912-3 1.717908-2 3.609558-3 1.995262-2 3.579476-3 2.040200-2 3.572550-3 2.040200-2 5.246473-3 2.111300-2 5.261667-3 2.111300-2 5.509728-3 2.630268-2 5.573572-3 3.311311-2 5.622711-3 4.570882-2 5.664230-3 7.079458-2 5.694179-3 1.130800-1 5.704974-3 1.130800-1 7.924718-2 1.364583-1 7.993002-2 1.819701-1 8.068322-2 2.851018-1 8.142109-2 5.370318-1 8.222623-2 9.332543-1 8.285975-2 2.264644+1 8.290670-2 1.000000+5 8.290507-2 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.130000-6 0.0 4.710000-6 5.800000-7 4.710000-6 3.963408-7 4.786301-6 4.701648-7 5.432503-6 1.103481-6 5.670000-6 1.337411-6 5.670000-6 7.192658-7 6.025596-6 1.140879-6 6.500000-6 1.692351-6 6.800000-6 2.033832-6 6.800000-6 2.018410-6 7.328245-6 2.604418-6 7.640000-6 2.943813-6 7.640000-6 2.928719-6 8.350000-6 3.681584-6 9.225714-6 4.584249-6 1.047129-5 5.829324-6 1.202264-5 7.329303-6 1.350000-5 8.712410-6 1.548817-5 1.050814-5 1.800000-5 1.269167-5 2.238721-5 1.646160-5 2.382000-5 1.772465-5 2.382000-5 4.964651-6 2.630268-5 8.647993-6 2.900000-5 1.264607-5 3.054921-5 1.490287-5 3.261000-5 1.784183-5 3.261000-5 1.140911-5 3.467369-5 1.421968-5 3.935501-5 2.067217-5 4.365158-5 2.647679-5 4.786301-5 3.196285-5 5.001000-5 3.465938-5 5.001000-5 3.351182-5 5.432503-5 3.889156-5 5.900000-5 4.438350-5 6.456542-5 5.056179-5 7.161434-5 5.801700-5 8.035261-5 6.685773-5 9.150000-5 7.764613-5 9.840000-5 8.407712-5 9.840000-5 4.524021-5 9.849000-5 4.459467-5 9.890000-5 4.241769-5 9.930000-5 4.048743-5 9.960000-5 3.915582-5 1.000000-4 3.754266-5 1.003700-4 3.619976-5 1.007000-4 3.511630-5 1.011579-4 3.378581-5 1.016500-4 3.254568-5 1.020000-4 3.178228-5 1.025000-4 3.084622-5 1.030000-4 3.007869-5 1.035142-4 2.944798-5 1.040000-4 2.898628-5 1.045000-4 2.862783-5 1.050700-4 2.834898-5 1.055000-4 2.822150-5 1.060800-4 2.815694-5 1.060800-4 2.413845-5 1.065000-4 2.383438-5 1.072000-4 2.346099-5 1.082000-4 2.310307-5 1.088000-4 2.296992-5 1.096478-4 2.289860-5 1.105000-4 2.294678-5 1.115000-4 2.314821-5 1.126000-4 2.353482-5 1.137000-4 2.407856-5 1.150000-4 2.489359-5 1.165000-4 2.600229-5 1.180000-4 2.726309-5 1.203000-4 2.935761-5 1.250000-4 3.393094-5 1.382400-4 4.712636-5 1.500000-4 5.921034-5 1.660000-4 7.620201-5 1.810000-4 9.273086-5 1.940700-4 1.077412-4 1.940700-4 8.945175-5 2.100000-4 1.049859-4 2.220000-4 1.172720-4 2.458900-4 1.424849-4 2.458900-4 1.274875-4 2.600160-4 1.432949-4 3.019952-4 1.924206-4 3.051700-4 1.959902-4 3.051700-4 1.879125-4 3.467369-4 2.332516-4 3.670400-4 2.548216-4 3.670400-4 2.428976-4 3.776300-4 2.533059-4 3.776300-4 2.467992-4 3.869000-4 2.541222-4 3.928000-4 2.572343-4 3.980000-4 2.581760-4 4.045000-4 2.571391-4 4.165000-4 2.536593-4 4.240000-4 2.533472-4 4.315191-4 2.549190-4 4.400000-4 2.584905-4 4.500000-4 2.645009-4 4.650000-4 2.758481-4 4.890000-4 2.968974-4 5.320000-4 3.379661-4 6.606934-4 4.659921-4 7.032100-4 5.086694-4 7.032100-4 4.972112-4 7.437500-4 5.366876-4 7.437500-4 5.303421-4 9.905700-4 7.683980-4 9.905700-4 7.570518-4 1.210100-3 9.685896-4 1.210100-3 9.653681-4 1.362100-3 1.112039-3 1.362100-3 1.107048-3 2.162719-3 1.884481-3 3.443600-3 3.143215-3 3.443600-3 3.003276-3 3.616100-3 3.174728-3 3.616100-3 3.100702-3 4.159400-3 3.645257-3 4.159400-3 3.609561-3 5.001800-3 4.447469-3 5.001800-3 4.423995-3 5.334900-3 4.753401-3 5.334900-3 4.736854-3 1.348963-2 1.282174-2 1.674300-2 1.605944-2 1.674300-2 1.237728-2 2.040200-2 1.606550-2 2.040200-2 1.434369-2 2.111300-2 1.503848-2 2.111300-2 1.473342-2 3.427678-2 2.774807-2 1.130800-1 1.064038-1 1.130800-1 3.294145-2 1.153000-1 3.506138-2 1.165000-1 3.626616-2 1.188502-1 3.849447-2 1.230269-1 4.257044-2 1.303167-1 4.961907-2 1.778279-1 9.629939-2 3.427678-1 2.602049-1 1.883649+0 1.799842+0 1.000000+5 9.999992+4 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.130800-1 1.426668+3 1.142000-1 1.393774+3 1.146000-1 1.378946+3 1.153000-1 1.361450+3 1.165000-1 1.323448+3 1.180000-1 1.286476+3 1.220000-1 1.180390+3 1.273503-1 1.064471+3 1.428894-1 7.942266+2 1.603245-1 5.944531+2 2.511886-1 1.893303+2 3.019952-1 1.192294+2 3.548134-1 8.012986+1 4.073803-1 5.738560+1 4.677351-1 4.144328+1 5.308844-1 3.096469+1 6.025596-1 2.329833+1 6.839117-1 1.767929+1 7.852356-1 1.318656+1 9.120108-1 9.679500+0 1.011579+0 7.858895+0 1.216186+0 5.480404+0 1.364583+0 4.405775+0 1.531087+0 3.565215+0 1.737801+0 2.846580+0 1.995262+0 2.244666+0 2.264644+0 1.817891+0 2.600160+0 1.455231+0 3.000000+0 1.164800+0 3.467369+0 9.366806-1 4.027170+0 7.532118-1 4.731513+0 6.001681-1 5.623413+0 4.742859-1 6.683439+0 3.777180-1 8.035261+0 2.984724-1 9.660509+0 2.375809-1 1.174898+1 1.876560-1 1.428894+1 1.491586-1 1.757924+1 1.176323-1 2.290868+1 8.750344-2 2.985383+1 6.549407-2 4.216965+1 4.525348-2 6.309573+1 2.965036-2 9.885531+1 1.864879-2 1.883649+2 9.663765-3 3.758374+2 4.809733-3 1.496236+3 1.201618-3 1.000000+5 1.795500-5 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.130800-1 8.671400-4 1.000000+5 8.671400-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.130800-1 1.015500-1 1.000000+5 1.015500-1 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.130800-1 1.066286-2 1.000000+5 9.999990+4 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.111300-2 4.931911+3 2.126000-2 4.855991+3 2.200000-2 4.582280+3 2.238721-2 4.457364+3 2.300000-2 4.240760+3 2.400000-2 3.956320+3 2.630268-2 3.348770+3 2.917427-2 2.782346+3 3.230000-2 2.297060+3 4.120975-2 1.419559+3 4.677351-2 1.092639+3 5.308844-2 8.375238+2 6.382635-2 5.615225+2 7.500000-2 3.917260+2 8.709636-2 2.784985+2 1.011580-1 1.966878+2 1.202264-1 1.307867+2 1.496236-1 7.735528+1 3.054921-1 1.369502+1 3.715352-1 8.599867+0 4.365158-1 5.903148+0 5.069907-1 4.195260+0 5.888437-1 3.004499+0 6.804800-1 2.192945+0 7.762471-1 1.657511+0 8.810489-1 1.275376+0 1.000000+0 9.889254-1 1.202264+0 6.893933-1 1.348963+0 5.537464-1 1.531087+0 4.384721-1 1.737801+0 3.500487-1 1.972423+0 2.814706-1 2.264644+0 2.235679-1 2.600160+0 1.789444-1 3.000000+0 1.432000-1 3.467369+0 1.151587-1 4.027170+0 9.260561-2 4.731513+0 7.378976-2 5.623413+0 5.831296-2 6.683439+0 4.644011-2 8.128305+0 3.616869-2 9.772372+0 2.880249-2 1.188502+1 2.275921-2 1.428894+1 1.833928-2 1.737801+1 1.465181-2 2.264644+1 1.089556-2 2.951209+1 8.153278-3 4.168694+1 5.632117-3 6.165950+1 3.733897-3 9.772372+1 2.320030-3 1.883649+2 1.188132-3 3.758374+2 5.913446-4 1.496236+3 1.477311-4 1.000000+5 2.207500-6 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.111300-2 1.237400-3 1.000000+5 1.237400-3 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.111300-2 7.109300-3 1.000000+5 7.109300-3 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.111300-2 1.276630-2 1.000000+5 9.999999+4 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.040200-2 1.013179+4 2.065380-2 9.893200+3 2.137962-2 9.124400+3 2.213095-2 8.372500+3 2.317395-2 7.485900+3 2.818383-2 4.560900+3 3.162278-2 3.377400+3 3.845918-2 2.005800+3 4.841724-2 1.069400+3 6.025596-2 5.814600+2 7.500000-2 3.132800+2 1.023293-1 1.289800+2 1.640590-1 3.332100+1 2.065380-1 1.732316+1 2.483133-1 1.033818+1 2.917427-1 6.626685+0 3.388442-1 4.415823+0 3.890451-1 3.058044+0 4.415705-1 2.199099+0 5.011872-1 1.593848+0 5.623413-1 1.198006+0 6.309573-1 9.070276-1 6.998420-1 7.111829-1 7.852356-1 5.468091-1 8.810489-1 4.235922-1 9.660509-1 3.468885-1 1.047129+0 2.935110-1 1.148154+0 2.443583-1 1.273503+0 2.004149-1 1.428894+0 1.620868-1 1.678804+0 1.214562-1 1.927525+0 9.555850-2 2.187762+0 7.725926-2 2.511886+0 6.173691-2 2.884032+0 4.970357-2 3.349654+0 3.960318-2 3.890451+0 3.179363-2 4.570882+0 2.529226-2 5.432503+0 1.995565-2 6.456542+0 1.586901-2 7.852356+0 1.234175-2 9.440609+0 9.814679-3 1.161449+1 7.641076-3 1.412538+1 6.071332-3 1.737801+1 4.786570-3 2.238721+1 3.605174-3 2.917427+1 2.697009-3 4.168694+1 1.840009-3 6.165950+1 1.219815-3 9.772372+1 7.579342-4 1.883649+2 3.881497-4 3.758374+2 1.931856-4 1.496236+3 4.826324-5 1.000000+5 7.211600-7 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.040200-2 9.281600-4 1.000000+5 9.281600-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.040200-2 9.311800-3 1.000000+5 9.311800-3 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.040200-2 1.016204-2 1.000000+5 9.999999+4 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.674300-2 2.426577+4 1.700000-2 2.340096+4 1.770000-2 2.100812+4 1.820000-2 1.943700+4 1.930000-2 1.656560+4 2.426610-2 8.697780+3 2.786121-2 5.828771+3 3.198895-2 3.892859+3 4.000000-2 1.998132+3 5.011872-2 1.006125+3 6.237348-2 5.118229+2 7.762471-2 2.582586+2 1.059254-1 9.681997+1 1.584893-1 2.705953+1 1.995262-1 1.316039+1 2.371374-1 7.716728+0 2.754229-1 4.894165+0 3.162278-1 3.238455+0 3.589219-1 2.234094+0 4.027170-1 1.605187+0 4.518559-1 1.161876+0 5.011872-1 8.749572-1 5.559043-1 6.632467-1 6.165950-1 5.061774-1 6.839117-1 3.890004-1 7.585776-1 3.011359-1 8.609938-1 2.218052-1 9.225714-1 1.888413-1 9.772372-1 1.660593-1 1.047129+0 1.434153-1 1.135011+0 1.218659-1 1.230269+0 1.043037-1 1.348963+0 8.792995-2 1.698244+0 5.828141-2 1.927525+0 4.677103-2 2.187762+0 3.780790-2 2.511886+0 3.020516-2 2.884032+0 2.431061-2 3.349654+0 1.936853-2 3.890451+0 1.554918-2 4.570882+0 1.236977-2 5.432503+0 9.759947-3 6.456542+0 7.761021-3 7.852356+0 6.035913-3 9.440609+0 4.800097-3 1.161449+1 3.737036-3 1.412538+1 2.969342-3 1.737801+1 2.341004-3 2.238721+1 1.763172-3 2.917427+1 1.319068-3 4.120975+1 9.109343-4 6.095369+1 6.037721-4 9.549926+1 3.795479-4 1.819701+2 1.966071-4 3.630781+2 9.782601-5 1.445440+3 2.443469-5 1.000000+5 3.527000-7 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.674300-2 8.562400-4 1.000000+5 8.562400-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.674300-2 6.160800-3 1.000000+5 6.160800-3 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.674300-2 9.725960-3 1.000000+5 9.999999+4 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 5.334900-3 1.280189+4 5.495409-3 1.228174+4 5.623413-3 1.194630+4 5.754399-3 1.157720+4 5.960000-3 1.109276+4 6.531306-3 9.759132+3 6.918310-3 9.038143+3 7.413102-3 8.169336+3 8.035261-3 7.212158+3 8.709636-3 6.398011+3 9.332543-3 5.731533+3 1.150000-2 4.058600+3 1.273503-2 3.399437+3 1.479108-2 2.607049+3 1.717908-2 1.978860+3 1.927525-2 1.593266+3 2.300000-2 1.131680+3 2.754229-2 7.898858+2 3.300000-2 5.452120+2 3.890451-2 3.857358+2 4.570882-2 2.728375+2 5.370318-2 1.915856+2 6.382635-2 1.301920+2 7.673615-2 8.549713+1 9.120108-2 5.721001+1 1.122019-1 3.504116+1 1.445440-1 1.908431+1 2.630268-1 4.456854+0 3.235937-1 2.710360+0 3.890451-1 1.754228+0 4.570882-1 1.207237+0 5.248075-1 8.822087-1 6.095369-1 6.331508-1 6.998420-1 4.695229-1 8.035261-1 3.507255-1 9.120108-1 2.700978-1 1.023293+0 2.145948-1 1.216186+0 1.530914-1 1.364583+0 1.230590-1 1.531087+0 9.956685-2 1.737801+0 7.949196-2 1.995262+0 6.268486-2 2.290868+0 4.982060-2 2.630268+0 3.990272-2 3.019952+0 3.219297-2 3.507519+0 2.571133-2 4.073803+0 2.068714-2 4.786301+0 1.649271-2 5.688529+0 1.304001-2 6.760830+0 1.039003-2 8.128305+0 8.213933-3 9.772372+0 6.540980-3 1.188502+1 5.168433-3 1.445440+1 4.109873-3 1.737801+1 3.327310-3 2.238721+1 2.506088-3 2.917427+1 1.874817-3 4.120975+1 1.294773-3 6.095369+1 8.581856-4 9.660509+1 5.331324-4 1.840772+2 2.762002-4 3.672823+2 1.374444-4 1.462177+3 3.433262-5 1.000000+5 5.013100-7 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 5.334900-3 9.127000-4 1.000000+5 9.127000-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.334900-3 7.376500-5 1.000000+5 7.376500-5 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.334900-3 4.348435-3 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 5.001800-3 2.052756+4 5.248075-3 1.959001+4 5.500000-3 1.860368+4 6.165950-3 1.613144+4 6.500000-3 1.502160+4 7.244360-3 1.279491+4 8.035261-3 1.089973+4 8.720000-3 9.539560+3 1.023293-2 7.211593+3 1.096478-2 6.351519+3 1.273503-2 4.761441+3 1.380384-2 4.055440+3 1.603245-2 2.974143+3 1.757924-2 2.442412+3 2.041738-2 1.756092+3 2.317395-2 1.315700+3 2.570396-2 1.033686+3 2.985383-2 7.231267+2 3.500000-2 4.896160+2 4.073803-2 3.344061+2 4.800000-2 2.195400+2 5.623413-2 1.450958+2 6.683439-2 9.164449+1 8.035261-2 5.571475+1 1.011580-1 2.965830+1 2.041738-1 4.245015+0 2.540973-1 2.331334+0 3.019952-1 1.462533+0 3.507519-1 9.828281-1 4.027170-1 6.855173-1 4.570882-1 4.959127-1 5.128614-1 3.718378-1 5.754399-1 2.807152-1 6.531306-1 2.076263-1 7.328245-1 1.590085-1 8.317638-1 1.195614-1 9.120108-1 9.776020-2 9.885531-1 8.248656-2 1.083927+0 6.844949-2 1.202264+0 5.590317-2 1.348963+0 4.499946-2 1.548817+0 3.499308-2 1.778279+0 2.740326-2 2.018366+0 2.205675-2 2.317395+0 1.754289-2 2.660725+0 1.406029-2 3.054921+0 1.135107-2 3.548134+0 9.070947-3 4.120975+0 7.302315-3 4.841724+0 5.824869-3 5.754399+0 4.608001-3 6.839116+0 3.673341-3 8.222427+0 2.905219-3 9.885531+0 2.314566-3 1.202264+1 1.829600-3 1.445440+1 1.474831-3 1.737801+1 1.194058-3 2.238721+1 8.993130-4 2.917427+1 6.727766-4 4.120975+1 4.646238-4 6.095369+1 3.079551-4 9.549926+1 1.935893-4 1.840772+2 9.911322-5 3.672823+2 4.932061-5 1.462177+3 1.231998-5 1.000000+5 1.799000-7 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 5.001800-3 8.201300-4 1.000000+5 8.201300-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.001800-3 1.365300-4 1.000000+5 1.365300-4 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.001800-3 4.045140-3 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.159400-3 7.471239+4 4.265795-3 7.173340+4 4.415704-3 6.802701+4 4.623810-3 6.306500+4 5.300000-3 4.979360+4 5.888437-3 4.093822+4 6.800000-3 3.109888+4 7.328245-3 2.680383+4 8.609938-3 1.926739+4 9.332543-3 1.620878+4 1.096478-2 1.137304+4 1.202264-2 9.219311+3 1.380384-2 6.683851+3 1.580000-2 4.829720+3 1.757924-2 3.715680+3 2.041738-2 2.548234+3 2.371374-2 1.729600+3 2.691535-2 1.236558+3 3.019952-2 9.064302+2 3.467369-2 6.201345+2 4.000000-2 4.156320+2 4.623810-2 2.749962+2 5.370318-2 1.782273+2 6.309573-2 1.109170+2 7.500000-2 6.620720+1 9.120108-2 3.664995+1 1.188502-1 1.630757+1 1.819701-1 4.407290+0 2.264644-1 2.265108+0 2.660725-1 1.395891+0 3.090295-1 8.968501-1 3.548134-1 6.007006-1 4.027170-1 4.191199-1 4.518559-1 3.042758-1 5.011872-1 2.295632-1 5.559043-1 1.743999-1 6.237348-1 1.294943-1 6.918310-1 9.973718-2 7.673615-1 7.735786-2 8.709636-1 5.705173-2 9.332543-1 4.864855-2 9.885531-1 4.286158-2 1.071519+0 3.624631-2 1.161449+0 3.086806-2 1.258925+0 2.645143-2 1.396368+0 2.186990-2 1.717908+0 1.511848-2 1.949845+0 1.214047-2 2.213095+0 9.819558-3 2.540973+0 7.849866-3 2.917427+0 6.321994-3 3.388442+0 5.039984-3 3.935501+0 4.048405-3 4.623810+0 3.222282-3 5.495409+0 2.543784-3 6.531306+0 2.023827-3 7.852356+0 1.597812-3 9.440609+0 1.270646-3 1.161449+1 9.892404-4 1.412538+1 7.860214-4 1.737801+1 6.196821-4 2.238721+1 4.667398-4 2.917427+1 3.491676-4 4.120975+1 2.411366-4 6.025596+1 1.617605-4 9.549926+1 1.004711-4 1.819701+2 5.204351-5 3.630781+2 2.589609-5 1.445440+3 6.468225-6 1.000000+5 9.336400-8 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.159400-3 7.187100-4 1.000000+5 7.187100-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.159400-3 4.620900-5 1.000000+5 4.620900-5 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.159400-3 3.394481-3 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 3.616100-3 1.944600+5 3.801894-3 1.684983+5 4.230000-3 1.277508+5 4.570882-3 1.036639+5 5.188000-3 7.294537+4 5.821032-3 5.262778+4 6.531306-3 3.771002+4 7.328245-3 2.677950+4 8.128305-3 1.950984+4 9.225714-3 1.320744+4 1.059254-2 8.529690+3 1.174898-2 6.120754+3 1.400000-2 3.448284+3 1.584893-2 2.279065+3 1.800000-2 1.481892+3 2.089296-2 8.878817+2 2.454709-2 5.057725+2 2.900000-2 2.801456+2 3.427678-2 1.537010+2 4.120975-2 7.867302+1 5.011872-2 3.831982+1 6.456542-2 1.497129+1 1.216186-1 1.409897+0 1.500000-1 6.486200-1 1.778279-1 3.482379-1 2.317395-1 1.334507-1 2.540973-1 9.620908-2 2.754229-1 7.275798-2 3.019952-1 5.336636-2 3.388442-1 3.607156-2 3.801894-1 2.456192-2 4.265795-1 1.684729-2 4.677351-1 1.254381-2 5.069907-1 9.755684-3 5.559043-1 7.388562-3 6.531306-1 4.598516-3 7.161434-1 3.529427-3 7.762471-1 2.817469-3 8.511380-1 2.187779-3 9.015711-1 1.879478-3 9.440609-1 1.673955-3 9.885531-1 1.499981-3 1.035142+0 1.353148-3 1.096478+0 1.197962-3 1.161449+0 1.067460-3 1.250000+0 9.284543-4 1.364583+0 7.925500-4 1.531087+0 6.483503-4 1.819701+0 4.779416-4 2.044000+0 3.917274-4 2.344229+0 3.123783-4 2.691535+0 2.505405-4 3.090295+0 2.023938-4 3.589219+0 1.618297-4 4.168694+0 1.303455-4 4.897788+0 1.040300-4 5.821032+0 8.233977-5 6.918310+0 6.567094-5 8.317638+0 5.196158-5 1.011579+1 4.083885-5 1.230269+1 3.230361-5 1.531087+1 2.503991-5 1.862087+1 2.004197-5 2.454709+1 1.474142-5 3.273407+1 1.078072-5 4.731513+1 7.285025-6 7.413102+1 4.560072-6 1.318257+2 2.525638-6 2.630268+2 1.253304-6 5.248075+2 6.250516-7 2.089296+3 1.564364-7 1.000000+5 3.264300-9 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 3.616100-3 5.345900-4 1.000000+5 5.345900-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.616100-3 1.528300-4 1.000000+5 1.528300-4 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.616100-3 2.928680-3 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 3.443600-3 2.966342+5 3.589219-3 2.705404+5 3.600000-3 2.690436+5 3.645000-3 2.596614+5 4.027170-3 1.992919+5 4.400000-3 1.561230+5 5.011872-3 1.080471+5 5.623413-3 7.746529+4 6.309573-3 5.509214+4 7.000000-3 4.021860+4 8.511380-3 2.186439+4 9.332543-3 1.629493+4 1.083927-2 1.002910+4 1.244515-2 6.343420+3 1.400000-2 4.266750+3 1.603245-2 2.682231+3 1.840772-2 1.657746+3 2.113489-2 1.016838+3 2.426610-2 6.192511+2 2.800000-2 3.678678+2 3.273407-2 2.068477+2 3.845918-2 1.133498+2 4.623810-2 5.654188+1 5.688529-2 2.564480+1 1.188502-1 1.499428+0 1.428894-1 7.413104-1 1.659587-1 4.211357-1 1.905461-1 2.516103-1 2.065380-1 1.871120-1 2.371374-1 1.135681-1 2.786121-1 6.390639-2 3.090295-1 4.457778-2 3.427678-1 3.132803-2 3.758374-1 2.304853-2 4.168694-1 1.644510-2 4.570882-1 1.227379-2 4.954502-1 9.567277-3 5.370318-1 7.517699-3 5.888437-1 5.752512-3 6.531306-1 4.289180-3 7.161434-1 3.327480-3 8.609938-1 2.033320-3 9.120108-1 1.754171-3 9.549926-1 1.567084-3 1.000000+0 1.408032-3 1.059254+0 1.241931-3 1.122018+0 1.102826-3 1.202264+0 9.635112-4 1.303167+0 8.297891-4 1.840772+0 4.513292-4 2.065380+0 3.708286-4 2.371374+0 2.953094-4 2.722701+0 2.369622-4 3.126079+0 1.915156-4 3.630781+0 1.532253-4 4.265795+0 1.214826-4 5.011872+0 9.705586-5 5.956621+0 7.689865-5 7.161434+0 6.048742-5 8.609938+0 4.792564-5 1.071519+1 3.667582-5 1.348963+1 2.791557-5 1.717908+1 2.113579-5 2.238721+1 1.571304-5 2.951209+1 1.160923-5 4.168694+1 8.019680-6 6.165950+1 5.316655-6 9.772372+1 3.303486-6 1.883649+2 1.691822-6 3.758374+2 8.420184-7 1.496236+3 2.103584-7 1.000000+5 3.143200-9 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 3.443600-3 5.383900-4 1.000000+5 5.383900-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.443600-3 2.763200-7 1.000000+5 2.763200-7 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.443600-3 2.904934-3 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.362100-3 2.853249+4 1.445440-3 2.678651+4 1.621810-3 2.394150+4 1.698244-3 2.284394+4 2.018366-3 1.873359+4 2.371374-3 1.540575+4 2.540973-3 1.407369+4 3.126079-3 1.058172+4 3.467369-3 9.101388+3 4.073803-3 7.146315+3 4.731513-3 5.652864+3 5.379000-3 4.598976+3 6.382635-3 3.460901+3 7.673615-3 2.522598+3 9.120108-3 1.858615+3 1.096478-2 1.329725+3 1.303167-2 9.635464+2 1.548817-2 6.929262+2 1.840772-2 4.947372+2 2.213095-2 3.426349+2 2.630268-2 2.409920+2 3.162278-2 1.642350+2 3.758374-2 1.137472+2 4.466836-2 7.822197+1 5.308844-2 5.340300+1 6.382635-2 3.526214+1 7.673615-2 2.311137+1 9.225714-2 1.502773+1 1.148154-1 8.941205+0 1.500000-1 4.701307+0 2.570396-1 1.269290+0 3.198895-1 7.505365-1 3.845918-1 4.855858-1 4.518559-1 3.340216-1 5.188000-1 2.439504-1 6.025596-1 1.749714-1 6.918310-1 1.296688-1 7.943282-1 9.679436-2 9.015711-1 7.447969-2 1.011579+0 5.912644-2 1.216186+0 4.123417-2 1.364583+0 3.314569-2 1.531087+0 2.681822-2 1.737801+0 2.140884-2 1.972423+0 1.721553-2 2.264644+0 1.367624-2 2.600160+0 1.094670-2 3.000000+0 8.759600-3 3.467369+0 7.044196-3 4.027170+0 5.664539-3 4.731513+0 4.513566-3 5.623413+0 3.566874-3 6.683439+0 2.840616-3 8.035261+0 2.244636-3 9.660509+0 1.786674-3 1.188502+1 1.392096-3 1.445440+1 1.106998-3 1.737801+1 8.962208-4 2.238721+1 6.750202-4 2.917427+1 5.049793-4 4.120975+1 3.487388-4 6.095369+1 2.311485-4 9.660509+1 1.435967-4 1.862087+2 7.352942-5 3.715352+2 3.659303-5 1.479108+3 9.141447-6 1.000000+5 1.350300-7 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.362100-3 5.189000-4 1.000000+5 5.189000-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.362100-3 6.403000-7 1.000000+5 6.403000-7 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.362100-3 8.425597-4 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.210100-3 2.476679+4 1.313000-3 2.463941+4 1.480000-3 2.391680+4 1.566751-3 2.339124+4 1.698244-3 2.247542+4 1.850000-3 2.137460+4 1.972423-3 2.045259+4 2.162719-3 1.901723+4 2.300000-3 1.800198+4 2.570396-3 1.612693+4 2.800000-3 1.473668+4 3.019952-3 1.350670+4 3.400000-3 1.166818+4 3.715352-3 1.039274+4 4.120975-3 8.997734+3 4.570882-3 7.744103+3 5.069907-3 6.608286+3 5.623413-3 5.607118+3 6.309573-3 4.632051+3 7.000000-3 3.876280+3 8.035261-3 3.029892+3 9.015711-3 2.447306+3 1.011579-2 1.964030+3 1.150000-2 1.525308+3 1.318257-2 1.155186+3 1.513561-2 8.644377+2 1.737801-2 6.413636+2 1.995262-2 4.719281+2 2.264644-2 3.537321+2 2.600160-2 2.563612+2 3.000000-2 1.822522+2 3.467369-2 1.279991+2 4.000000-2 8.967740+1 4.677351-2 6.027147+1 5.495409-2 3.971421+1 6.531306-2 2.520162+1 7.852356-2 1.539562+1 9.772372-2 8.504567+0 1.303167-1 3.858043+0 2.000000-1 1.184254+0 2.630268-1 5.623113-1 3.126079-1 3.540103-1 3.630781-1 2.386279-1 4.168694-1 1.669479-1 4.731513-1 1.211525-1 5.370318-1 8.856612-2 6.025596-1 6.707165-2 6.683439-1 5.255456-2 7.498942-1 4.037872-2 8.413951-1 3.124617-2 9.549926-1 2.374028-2 1.035142+0 2.007754-2 1.135011+0 1.670423-2 1.258925+0 1.368750-2 1.412538+0 1.105716-2 1.659587+0 8.277097-3 1.883649+0 6.636779-3 2.137962+0 5.358811-3 2.454709+0 4.275974-3 2.818383+0 3.437469-3 3.235937+0 2.783016-3 3.758374+0 2.230401-3 4.415704+0 1.771350-3 5.188000+0 1.417372-3 6.165950+0 1.124770-3 7.413102+0 8.859988-4 8.912509+0 7.029534-4 1.122018+1 5.313038-4 1.396368+1 4.105639-4 1.717908+1 3.235786-4 2.238721+1 2.405646-4 2.951209+1 1.777355-4 4.168694+1 1.227766-4 6.237348+1 8.042603-5 9.885531+1 4.998247-5 1.905461+2 2.560012-5 3.801894+2 1.274220-5 1.513561+3 3.183706-6 1.000000+5 4.812200-8 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.210100-3 4.883000-4 1.000000+5 4.883000-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.210100-3 4.940900-7 1.000000+5 4.940900-7 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.210100-3 7.213059-4 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 9.905700-4 1.579138+5 1.047129-3 1.524975+5 1.100000-3 1.456756+5 1.244515-3 1.281533+5 1.450000-3 1.071904+5 1.570000-3 9.722720+4 1.698244-3 8.767336+4 1.850000-3 7.802960+4 2.187762-3 6.119594+4 2.398833-3 5.324306+4 2.754229-3 4.273062+4 3.054921-3 3.604269+4 3.548134-3 2.787748+4 3.935501-3 2.319174+4 4.518559-3 1.799707+4 5.128614-3 1.414735+4 5.754399-3 1.129644+4 6.606934-3 8.551720+3 7.585776-3 6.417421+3 8.609938-3 4.894576+3 9.772372-3 3.706428+3 1.096478-2 2.861001+3 1.244515-2 2.137600+3 1.412538-2 1.585891+3 1.603245-2 1.168563+3 1.819701-2 8.552096+2 2.065380-2 6.217236+2 2.371374-2 4.358207+2 2.722701-2 3.030947+2 3.090295-2 2.158145+2 3.589219-2 1.433621+2 4.120975-2 9.759933+1 4.786301-2 6.386074+1 5.623413-2 4.012804+1 6.606934-2 2.502662+1 7.943282-2 1.447481+1 9.772372-2 7.754085+0 1.927525-1 9.778556-1 2.371374-1 5.229451-1 2.786121-1 3.235336-1 3.235937-1 2.085973-1 3.672823-1 1.448273-1 4.168694-1 1.012861-1 4.623810-1 7.608023-2 5.188000-1 5.578553-2 5.754399-1 4.247853-2 6.382635-1 3.256217-2 7.079458-1 2.515505-2 7.852356-1 1.956503-2 8.810489-1 1.490998-2 9.549926-1 1.235869-2 1.011579+0 1.088161-2 1.083927+0 9.418981-3 1.161449+0 8.208794-3 1.258925+0 7.041358-3 1.396368+0 5.828076-3 1.757924+0 3.873264-3 2.000000+0 3.101408-3 2.290868+0 2.474898-3 2.630268+0 1.982215-3 3.019952+0 1.599205-3 3.507519+0 1.277221-3 4.073803+0 1.027633-3 4.786301+0 8.192625-4 5.688529+0 6.477664-4 6.760830+0 5.161254-4 8.128305+0 4.080216-4 9.772372+0 3.249253-4 1.188502+1 2.567427-4 1.445440+1 2.041525-4 1.757924+1 1.631575-4 2.264644+1 1.229159-4 2.917427+1 9.313145-5 4.120975+1 6.431730-5 6.095369+1 4.263035-5 9.549926+1 2.679814-5 1.840772+2 1.371972-5 3.672823+2 6.827409-6 1.462177+3 1.705445-6 1.000000+5 2.490300-8 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 9.905700-4 4.157800-4 1.000000+5 4.157800-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 9.905700-4 4.268000-7 1.000000+5 4.268000-7 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 9.905700-4 5.743632-4 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 7.437500-4 2.014328+5 8.222426-4 2.152202+5 8.280000-4 2.159631+5 8.430000-4 2.162792+5 9.015711-4 2.160250+5 9.440609-4 2.146295+5 9.930000-4 2.115168+5 1.047129-3 2.065993+5 1.109175-3 1.996307+5 1.161449-3 1.932536+5 1.230269-3 1.842402+5 1.303167-3 1.744371+5 1.380384-3 1.641708+5 1.470000-3 1.526912+5 1.610000-3 1.358616+5 1.717908-3 1.241831+5 1.840772-3 1.118955+5 2.018366-3 9.655541+4 2.162719-3 8.595966+4 2.344229-3 7.443911+4 2.600160-3 6.132815+4 2.800000-3 5.305240+4 3.090295-3 4.335686+4 3.349654-3 3.656367+4 3.672823-3 2.985450+4 4.027170-3 2.422961+4 4.415704-3 1.951291+4 4.841724-3 1.562347+4 5.379000-3 1.201778+4 5.888437-3 9.532672+3 6.606934-3 7.040480+3 7.378200-3 5.220364+3 8.128305-3 3.990777+3 9.120108-3 2.877908+3 1.023293-2 2.058724+3 1.161449-2 1.411602+3 1.318257-2 9.592413+2 1.496236-2 6.462906+2 1.678804-2 4.481817+2 1.883649-2 3.087749+2 2.120000-2 2.093040+2 2.426610-2 1.331899+2 2.786121-2 8.323202+1 3.198895-2 5.163332+1 3.715352-2 3.055236+1 4.365158-2 1.723146+1 5.248075-2 8.881789+0 6.456542-2 4.179546+0 9.332543-2 1.080888+0 1.348963-1 2.788414-1 1.659587-1 1.310291-1 1.927525-1 7.647547-2 2.317395-1 3.980267-2 2.660725-1 2.455929-2 3.019952-1 1.588749-2 3.427678-1 1.035563-2 3.845918-1 7.064028-3 4.265795-1 5.042151-3 4.731513-1 3.626508-3 5.188000-1 2.728592-3 5.688529-1 2.067400-3 6.237348-1 1.576905-3 6.918310-1 1.171612-3 7.585776-1 9.053102-4 8.222427-1 7.272404-4 9.015711-1 5.686117-4 9.440609-1 5.054251-4 9.885531-1 4.520377-4 1.035142+0 4.072407-4 1.096478+0 3.601809-4 1.161449+0 3.208237-4 1.244515+0 2.813729-4 1.348963+0 2.433091-4 1.531087+0 1.952892-4 1.840772+0 1.410965-4 2.065380+0 1.159092-4 2.371374+0 9.230251-5 2.722701+0 7.407032-5 3.126079+0 5.986845-5 3.630781+0 4.789863-5 4.265795+0 3.797585-5 5.011872+0 3.034018-5 5.956621+0 2.403897-5 7.161434+0 1.890844-5 8.609938+0 1.498142-5 1.071519+1 1.146541-5 1.348963+1 8.726554-6 1.717908+1 6.607122-6 2.238721+1 4.912113-6 2.917427+1 3.674719-6 4.120975+1 2.537803-6 6.025596+1 1.702427-6 9.549926+1 1.057381-6 1.819701+2 5.477196-7 3.630781+2 2.725337-7 1.445440+3 6.807376-8 1.000000+5 9.82600-10 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 7.437500-4 3.315900-4 1.000000+5 3.315900-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 7.437500-4 2.516500-7 1.000000+5 2.516500-7 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 7.437500-4 4.119084-4 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 7.032100-4 3.518304+5 7.585776-4 3.669310+5 7.900000-4 3.709530+5 8.511380-4 3.664443+5 9.015711-4 3.608089+5 9.500000-4 3.527418+5 1.000000-3 3.425406+5 1.059254-3 3.291363+5 1.130000-3 3.119976+5 1.202264-3 2.939186+5 1.280000-3 2.747190+5 1.364583-3 2.546961+5 1.428894-3 2.400496+5 1.570000-3 2.108790+5 1.659587-3 1.943254+5 1.778279-3 1.741919+5 1.950000-3 1.492860+5 2.089296-3 1.323206+5 2.238721-3 1.165137+5 2.483133-3 9.547012+4 2.691535-3 8.118941+4 2.985383-3 6.533018+4 3.235937-3 5.483194+4 3.589219-3 4.339727+4 3.900000-3 3.576816+4 4.315191-3 2.803706+4 4.731513-3 2.231481+4 5.308844-3 1.662610+4 5.888437-3 1.264858+4 6.500000-3 9.682680+3 7.328245-3 6.938318+3 8.317638-3 4.829866+3 9.440609-3 3.328327+3 1.059254-2 2.352390+3 1.190000-2 1.643310+3 1.333521-2 1.148350+3 1.500000-2 7.871220+2 1.698244-2 5.242084+2 1.927525-2 3.434771+2 2.162719-2 2.322935+2 2.454709-2 1.499953+2 2.818383-2 9.234972+1 3.235937-2 5.642112+1 3.758374-2 3.282167+1 4.365158-2 1.895199+1 5.188000-2 9.978232+0 6.309573-2 4.783851+0 8.810489-2 1.348670+0 1.288250-1 3.182795-1 1.531088-1 1.661292-1 1.819701-1 8.749484-2 2.018366-1 5.981129-2 2.511886-1 2.740152-2 2.722701-1 2.044698-2 3.019952-1 1.426116-2 3.349654-1 1.001607-2 3.672823-1 7.361416-3 4.027170-1 5.446848-3 4.415705-1 4.060178-3 4.841724-1 3.052578-3 5.308844-1 2.313310-3 5.754399-1 1.827207-3 6.309573-1 1.405909-3 6.918310-1 1.090102-3 7.585776-1 8.519280-4 8.317638-1 6.705054-4 9.549926-1 4.728154-4 1.000000+0 4.228765-4 1.047129+0 3.807153-4 1.096478+0 3.449968-4 1.161449+0 3.073778-4 1.230269+0 2.757251-4 1.333521+0 2.383715-4 1.496236+0 1.954288-4 1.840772+0 1.355500-4 2.065380+0 1.113622-4 2.371374+0 8.868692-5 2.722701+0 7.115735-5 3.126079+0 5.750425-5 3.630781+0 4.600679-5 4.216965+0 3.707611-5 4.954502+0 2.960604-5 5.888437+0 2.344541-5 7.079458+0 1.843234-5 8.609938+0 1.439010-5 1.071519+1 1.101223-5 1.348963+1 8.381950-6 1.717908+1 6.346206-6 2.238721+1 4.718110-6 2.917427+1 3.529619-6 4.120975+1 2.437627-6 6.095369+1 1.615622-6 9.660509+1 1.003707-6 1.840772+2 5.199848-7 3.672823+2 2.587540-7 1.462177+3 6.463643-8 1.000000+5 9.43800-10 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 7.032100-4 3.261600-4 1.000000+5 3.261600-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 7.032100-4 9.302500-8 1.000000+5 9.302500-8 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 7.032100-4 3.769570-4 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 3.776300-4 6.208201+4 3.779000-4 6.278880+4 3.785000-4 6.381840+4 3.794000-4 6.493200+4 3.808000-4 6.625020+4 3.822000-4 6.730500+4 3.845918-4 6.862768+4 3.898000-4 7.071180+4 3.912000-4 7.146360+4 3.928000-4 7.268580+4 3.943000-4 7.430460+4 3.958000-4 7.650240+4 3.973000-4 7.937280+4 3.985000-4 8.221560+4 4.000000-4 8.651400+4 4.015000-4 9.171660+4 4.030000-4 9.790500+4 4.045000-4 1.051524+5 4.065000-4 1.166208+5 4.085000-4 1.303230+5 4.100000-4 1.421682+5 4.168694-4 2.141657+5 4.200000-4 2.561190+5 4.220000-4 2.853942+5 4.240000-4 3.163704+5 4.265795-4 3.583321+5 4.290000-4 3.995856+5 4.315191-4 4.440505+5 4.343000-4 4.948962+5 4.371600-4 5.487531+5 4.400000-4 6.036480+5 4.430000-4 6.629640+5 4.460000-4 7.229400+5 4.485000-4 7.731120+5 4.518559-4 8.400039+5 4.550000-4 9.016020+5 4.580000-4 9.586620+5 4.615000-4 1.022658+6 4.650000-4 1.083570+6 4.690000-4 1.149420+6 4.731513-4 1.213165+6 4.780000-4 1.282176+6 4.835000-4 1.353912+6 4.890000-4 1.418274+6 4.954502-4 1.484724+6 5.020000-4 1.541844+6 5.080000-4 1.585086+6 5.150000-4 1.626018+6 5.230000-4 1.661718+6 5.320000-4 1.691292+6 5.432503-4 1.715364+6 5.540000-4 1.727532+6 5.650000-4 1.729404+6 5.800000-4 1.719822+6 5.956621-4 1.698824+6 6.150000-4 1.662132+6 6.382635-4 1.607450+6 6.606934-4 1.548710+6 6.850000-4 1.481052+6 7.172700-4 1.389686+6 7.585776-4 1.274245+6 8.000000-4 1.163598+6 8.423100-4 1.058602+6 8.850000-4 9.616800+5 9.332543-4 8.614877+5 1.000000-3 7.413420+5 1.070000-3 6.358140+5 1.135011-3 5.523141+5 1.230269-3 4.521081+5 1.330000-3 3.701484+5 1.428894-3 3.056345+5 1.584893-3 2.297870+5 1.717908-3 1.826927+5 1.905461-3 1.349189+5 2.070000-3 1.051848+5 2.300000-3 7.604640+4 2.511886-3 5.757518+4 2.786121-3 4.122496+4 3.090295-3 2.927474+4 3.400000-3 2.121486+4 3.801894-3 1.444369+4 4.300000-3 9.364560+3 4.800000-3 6.306600+3 5.308844-3 4.362462+3 5.888437-3 2.967872+3 6.531306-3 2.006502+3 7.328245-3 1.289353+3 8.222426-3 8.224096+2 9.225714-3 5.209400+2 1.047129-2 3.127551+2 1.188502-2 1.862861+2 1.348963-2 1.101758+2 1.531087-2 6.471710+1 1.757924-2 3.593439+1 2.018366-2 1.980323+1 2.344229-2 1.029946+1 2.754229-2 5.053669+0 3.311311-2 2.221566+0 4.120975-2 8.299120-1 5.754399-2 1.827113-1 8.035261-2 4.010072-2 1.202264-1 6.532542-3 1.396368-1 3.356130-3 1.548817-1 2.128142-3 1.757924-1 1.228951-3 1.995262-1 7.150493-4 2.264644-1 4.192910-4 2.540973-1 2.598785-4 2.851018-1 1.622477-4 3.273407-1 9.293501-5 3.589219-1 6.450620-5 3.935501-1 4.509261-5 4.265795-1 3.318819-5 4.570882-1 2.566902-5 4.954502-1 1.915907-5 5.308844-1 1.501136-5 5.688529-1 1.185408-5 6.095369-1 9.420503-6 6.606935-1 7.259020-6 7.161434-1 5.634672-6 7.852356-1 4.248529-6 8.511380-1 3.340645-6 9.549926-1 2.392240-6 9.885531-1 2.175132-6 1.023293+0 1.991107-6 1.059254+0 1.833883-6 1.096478+0 1.698109-6 1.148154+0 1.543697-6 1.202264+0 1.413055-6 1.288250+0 1.248694-6 1.380384+0 1.111221-6 1.500000+0 9.711365-7 1.905461+0 6.374554-7 2.113489+0 5.347785-7 2.426610+0 4.264248-7 2.786121+0 3.425876-7 3.198895+0 2.772032-7 3.715352+0 2.220365-7 4.365158+0 1.762375-7 5.128614+0 1.409477-7 6.095369+0 1.117963-7 7.328245+0 8.801889-8 8.810489+0 6.980232-8 1.109175+1 5.273187-8 1.380384+1 4.073215-8 1.717908+1 3.167596-8 2.238721+1 2.355030-8 2.917427+1 1.761812-8 4.120975+1 1.216686-8 6.095369+1 8.064332-9 9.660509+1 5.009841-9 1.840772+2 2.595453-9 3.672823+2 1.291531-9 1.462177+3 3.22623-10 1.000000+5 4.71090-12 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 3.776300-4 2.037900-4 1.000000+5 2.037900-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 3.776300-4 3.642000-8 1.000000+5 3.642000-8 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 3.776300-4 1.738036-4 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 3.670400-4 9.072881+4 3.730000-4 9.278080+4 3.777000-4 9.477280+4 3.800000-4 9.623840+4 3.815000-4 9.768720+4 3.830000-4 9.971440+4 3.845918-4 1.026766+5 3.858000-4 1.055840+5 3.869000-4 1.087864+5 3.880000-4 1.125680+5 3.895000-4 1.187336+5 3.908000-4 1.250960+5 3.923000-4 1.337184+5 3.940000-4 1.452864+5 3.958000-4 1.598008+5 3.980000-4 1.809776+5 4.000000-4 2.037456+5 4.065000-4 3.016504+5 4.090000-4 3.484296+5 4.115000-4 3.994568+5 4.140000-4 4.540208+5 4.165000-4 5.115472+5 4.190000-4 5.715112+5 4.216965-4 6.385674+5 4.240000-4 6.975864+5 4.270000-4 7.765976+5 4.300000-4 8.576240+5 4.328000-4 9.346640+5 4.360000-4 1.023616+6 4.390000-4 1.106968+6 4.420000-4 1.189456+6 4.450000-4 1.270200+6 4.485000-4 1.361296+6 4.518559-4 1.444805+6 4.550000-4 1.519336+6 4.590900-4 1.610705+6 4.630000-4 1.692408+6 4.680000-4 1.789088+6 4.731513-4 1.880015+6 4.786301-4 1.967053+6 4.841724-4 2.044792+6 4.897788-4 2.112817+6 4.954502-4 2.170978+6 5.011872-4 2.219589+6 5.080000-4 2.265768+6 5.150000-4 2.302232+6 5.260000-4 2.342080+6 5.370318-4 2.364767+6 5.495409-4 2.372163+6 5.623413-4 2.363300+6 5.754399-4 2.341898+6 5.900000-4 2.306824+6 6.100000-4 2.246744+6 6.309573-4 2.172977+6 6.531306-4 2.088594+6 6.760830-4 1.997169+6 7.079458-4 1.869574+6 7.500000-4 1.704960+6 7.900000-4 1.557024+6 8.413951-4 1.383005+6 8.850000-4 1.250416+6 9.332543-4 1.117188+6 1.000000-3 9.579920+5 1.071519-3 8.164358+5 1.135011-3 7.101877+5 1.230269-3 5.796162+5 1.333521-3 4.697151+5 1.450000-3 3.744256+5 1.584893-3 2.920761+5 1.730000-3 2.269920+5 1.905461-3 1.705814+5 2.089296-3 1.289547+5 2.300000-3 9.563520+4 2.540973-3 6.961541+4 2.800000-3 5.072360+4 3.090295-3 3.651952+4 3.427678-3 2.566430+4 3.758374-3 1.864148+4 4.168694-3 1.292676+4 4.677351-3 8.535650+3 5.308844-3 5.355577+3 6.025596-3 3.327866+3 6.839116-3 2.048303+3 7.673615-3 1.307044+3 8.609938-3 8.278979+2 9.660509-3 5.207241+2 1.096478-2 3.102271+2 1.244515-2 1.833961+2 1.412538-2 1.075964+2 1.621810-2 5.965679+1 1.862087-2 3.281445+1 2.113489-2 1.883987+1 2.454709-2 9.699760+0 2.884032-2 4.707009+0 3.467369-2 2.042854+0 4.315191-2 7.515143-1 5.821032-2 1.894462-1 8.128305-2 4.057568-2 1.188502-1 7.128776-3 1.364583-1 3.812821-3 1.531088-1 2.279648-3 1.862087-1 9.635089-4 2.065380-1 6.148807-4 2.290868-1 3.955247-4 2.511886-1 2.690328-4 2.754229-1 1.842657-4 3.019952-1 1.271255-4 3.311800-1 8.831867-5 3.589219-1 6.460796-5 3.890451-1 4.757414-5 4.168694-1 3.683813-5 4.415705-1 2.993834-5 4.786301-1 2.258781-5 5.495409-1 1.408055-5 5.956621-1 1.075536-5 6.382635-1 8.588949-6 6.839117-1 6.904876-6 7.244360-1 5.790673-6 7.682800-1 4.868779-6 8.128305-1 4.148802-6 8.611500-1 3.548753-6 9.015711-1 3.154194-6 9.440609-1 2.818441-6 9.885531-1 2.533808-6 1.047129+0 2.236664-6 1.122018+0 1.941280-6 1.202264+0 1.696903-6 1.318257+0 1.429920-6 1.798871+0 8.239198-7 2.041738+0 6.631939-7 2.344229+0 5.277799-7 2.691535+0 4.232475-7 3.090295+0 3.418804-7 3.589219+0 2.733658-7 4.168694+0 2.201830-7 4.897788+0 1.757263-7 5.821032+0 1.390815-7 6.918310+0 1.109252-7 8.317638+0 8.777269-8 1.011579+1 6.898286-8 1.244515+1 5.382796-8 1.603245+1 4.010380-8 2.137962+1 2.900625-8 2.851018+1 2.114229-8 4.000000+1 1.469900-8 5.821032+1 9.903217-9 9.225714+1 6.147702-9 1.757924+2 3.183166-9 3.507519+2 1.583452-9 1.396368+3 3.95441-10 1.000000+5 5.51390-12 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 3.670400-4 2.044000-4 1.000000+5 2.044000-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 3.670400-4 1.123000-7 1.000000+5 1.123000-7 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 3.670400-4 1.625277-4 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 3.051700-4 5.188311+4 4.216965-4 4.206710+4 4.466836-4 4.033927+4 5.400000-4 3.416100+4 5.821032-4 3.181111+4 6.382635-4 2.890107+4 7.300000-4 2.493860+4 8.035261-4 2.228066+4 9.332543-4 1.849690+4 1.047129-3 1.591582+4 1.216186-3 1.298945+4 1.412538-3 1.051035+4 1.650000-3 8.379360+3 1.949845-3 6.525214+3 2.344229-3 4.914929+3 2.818383-3 3.677534+3 3.467369-3 2.632672+3 4.216965-3 1.904301+3 5.069907-3 1.393787+3 6.165950-3 9.922855+2 7.413102-3 7.151092+2 8.912509-3 5.116624+2 1.083927-2 3.556969+2 1.303167-2 2.507531+2 1.566751-2 1.754841+2 1.883649-2 1.219048+2 2.264644-2 8.405671+1 2.722701-2 5.752099+1 3.235937-2 4.002138+1 3.890451-2 2.697250+1 4.677351-2 1.803453+1 5.623413-2 1.196415+1 6.760830-2 7.875846+0 8.222426-2 5.009482+0 1.000000-1 3.162020+0 1.288250-1 1.726304+0 1.603245-1 1.017903+0 2.570396-1 3.229961-1 3.198895-1 1.909658-1 3.845918-1 1.235476-1 4.518559-1 8.498272-2 5.188000-1 6.206467-2 6.025596-1 4.451328-2 6.918310-1 3.298680-2 7.943282-1 2.462293-2 9.015711-1 1.894567-2 1.011579+0 1.504038-2 1.216186+0 1.048903-2 1.364583+0 8.431536-3 1.531087+0 6.822162-3 1.737801+0 5.446569-3 1.972423+0 4.379442-3 2.264644+0 3.478382-3 2.600160+0 2.784198-3 3.000000+0 2.228200-3 3.467369+0 1.791885-3 4.027170+0 1.440941-3 4.731513+0 1.148119-3 5.623413+0 9.073192-4 6.683439+0 7.225904-4 8.035261+0 5.709893-4 9.660509+0 4.544952-4 1.174898+1 3.589958-4 1.428894+1 2.853565-4 1.737801+1 2.279831-4 2.238721+1 1.717066-4 2.951209+1 1.268612-4 4.168694+1 8.763539-5 6.165950+1 5.809823-5 9.772372+1 3.609930-5 1.862087+2 1.870465-5 3.715352+2 9.308427-6 1.479108+3 2.325319-6 1.000000+5 3.434800-8 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 3.051700-4 2.163700-4 1.000000+5 2.163700-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.051700-4 7.484200-9 1.000000+5 7.484200-9 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.051700-4 8.879252-5 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.458900-4 1.559532+5 2.540973-4 1.446679+5 2.580000-4 1.389218+5 2.625000-4 1.317084+5 2.700000-4 1.195286+5 2.800000-4 1.051932+5 3.030000-4 8.169040+4 3.235937-4 6.743866+4 3.404800-4 5.846049+4 3.550000-4 5.231800+4 3.672823-4 4.807544+4 3.801894-4 4.437627+4 3.935501-4 4.118789+4 4.120975-4 3.756130+4 4.315191-4 3.448492+4 4.518559-4 3.185120+4 4.731513-4 2.960344+4 4.954502-4 2.769432+4 5.230000-4 2.580360+4 5.559043-4 2.400585+4 6.025596-4 2.199895+4 6.606934-4 2.007328+4 9.772372-4 1.399912+4 1.122018-3 1.224000+4 1.273503-3 1.075072+4 1.462177-3 9.259629+3 1.659587-3 8.013688+3 1.900000-3 6.814400+3 2.162719-3 5.792057+3 2.454709-3 4.905509+3 2.800000-3 4.098220+3 3.162278-3 3.447118+3 3.589219-3 2.859202+3 4.073803-3 2.354422+3 4.623810-3 1.924537+3 5.248075-3 1.561507+3 5.956621-3 1.257707+3 6.760830-3 1.005705+3 7.673615-3 7.983054+2 8.709636-3 6.292493+2 9.885531-3 4.925697+2 1.122018-2 3.829007+2 1.273503-2 2.956083+2 1.445440-2 2.266714+2 1.659587-2 1.683685+2 1.905461-2 1.240850+2 2.187762-2 9.074337+1 2.511886-2 6.586337+1 2.884032-2 4.746018+1 3.311311-2 3.395913+1 3.845918-2 2.345325+1 4.466836-2 1.607809+1 5.248075-2 1.062523+1 6.237348-2 6.762550+0 7.498942-2 4.142839+0 9.332543-2 2.295220+0 1.188502-1 1.187211+0 2.041738-1 2.679258-1 2.540973-1 1.477315-1 3.054921-1 9.012094-2 3.589219-1 5.889814-2 4.120975-1 4.119124-2 4.731513-1 2.903019-2 5.370318-1 2.122086-2 6.025596-1 1.606791-2 6.760830-1 1.225099-2 7.585776-1 9.409607-3 8.609938-1 7.090951-3 9.332543-1 5.958015-3 1.011579+0 5.041994-3 1.135011+0 4.008405-3 1.258925+0 3.281275-3 1.412538+0 2.648792-3 1.640590+0 2.022678-3 1.883649+0 1.589186-3 2.137962+0 1.283060-3 2.454709+0 1.023738-3 2.818383+0 8.229972-4 3.235937+0 6.663224-4 3.758374+0 5.340191-4 4.415704+0 4.241079-4 5.188000+0 3.393539-4 6.165950+0 2.692980-4 7.413102+0 2.121256-4 8.912509+0 1.682989-4 1.122018+1 1.272081-4 1.396368+1 9.829833-5 1.737801+1 7.647140-5 2.238721+1 5.759708-5 2.917427+1 4.308805-5 4.120975+1 2.975737-5 6.095369+1 1.972308-5 9.660509+1 1.225241-5 1.862087+2 6.274053-6 3.715352+2 3.122348-6 1.479108+3 7.800137-7 1.000000+5 1.152100-8 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.458900-4 1.827400-4 1.000000+5 1.827400-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.458900-4 1.205700-8 1.000000+5 1.205700-8 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.458900-4 6.313794-5 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 1.940700-4 3.771890+5 2.041738-4 3.516425+5 2.120000-4 3.349912+5 2.187762-4 3.189851+5 2.270000-4 2.996792+5 2.380000-4 2.792640+5 2.660725-4 2.407534+5 2.800000-4 2.262652+5 3.019952-4 2.084017+5 4.415704-4 1.410760+5 5.069907-4 1.216367+5 5.800000-4 1.044880+5 6.531306-4 9.077642+4 7.500000-4 7.644840+4 8.511380-4 6.484030+4 9.772372-4 5.376626+4 1.135011-3 4.351793+4 1.318257-3 3.492504+4 1.513561-3 2.831083+4 1.737801-3 2.280610+4 2.018366-3 1.791661+4 2.344229-3 1.397421+4 2.722701-3 1.081934+4 3.126079-3 8.485535+3 3.548134-3 6.751330+3 4.027170-3 5.339742+3 4.570882-3 4.197531+3 5.248075-3 3.205176+3 6.025596-3 2.428024+3 6.918310-3 1.825555+3 7.943282-3 1.361501+3 9.120108-3 1.007868+3 1.047129-2 7.400651+2 1.202264-2 5.392046+2 1.380384-2 3.898048+2 1.584893-2 2.796019+2 1.819701-2 1.989934+2 2.089296-2 1.405249+2 2.398833-2 9.846666+1 2.754229-2 6.848043+1 3.162278-2 4.727778+1 3.630781-2 3.240830+1 4.216965-2 2.136182+1 4.897788-2 1.397404+1 5.754399-2 8.779918+0 6.760830-2 5.475607+0 8.128305-2 3.167434+0 1.000000-1 1.697199+0 1.949845-1 2.219965-1 2.398833-1 1.188121-1 2.818383-1 7.357358-2 3.235937-1 4.911442-2 3.672823-1 3.413203-2 4.168694-1 2.389139-2 4.677351-1 1.739710-2 5.188000-1 1.316294-2 5.754399-1 1.002622-2 6.456542-1 7.465442-3 7.161434-1 5.765260-3 7.943282-1 4.483576-3 8.709636-1 3.592907-3 9.332543-1 3.063489-3 9.885531-1 2.698972-3 1.071519+0 2.282384-3 1.161449+0 1.943659-3 1.258925+0 1.665517-3 1.396368+0 1.377111-3 1.737801+0 9.329102-4 1.972423+0 7.496130-4 2.238721+0 6.067427-4 2.570396+0 4.853509-4 2.951209+0 3.911060-4 3.427678+0 3.119836-4 4.000000+0 2.490400-4 4.677351+0 1.996829-4 5.559043+0 1.577151-4 6.606934+0 1.255423-4 8.035261+0 9.773226-5 9.660509+0 7.779304-5 1.174898+1 6.144608-5 1.428894+1 4.884198-5 1.737801+1 3.902116-5 2.238721+1 2.938953-5 2.917427+1 2.198653-5 4.120975+1 1.518399-5 6.165950+1 9.944160-6 9.772372+1 6.178868-6 1.883649+2 3.164317-6 3.758374+2 1.574856-6 1.496236+3 3.934584-7 1.000000+5 5.879100-9 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 1.940700-4 1.424000-4 1.000000+5 1.424000-4 1 91000 7 7 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.940700-4 5.807500-9 1.000000+5 5.807500-9 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 1.940700-4 5.166419-5 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.060800-4 9.637804+5 1.062000-4 1.000972+6 1.066000-4 1.103604+6 1.071000-4 1.238396+6 1.075000-4 1.349664+6 1.080000-4 1.491876+6 1.084000-4 1.606212+6 1.088000-4 1.720072+6 1.092000-4 1.832820+6 1.096478-4 1.956440+6 1.101000-4 2.076720+6 1.105000-4 2.178324+6 1.109175-4 2.278483+6 1.115000-4 2.407384+6 1.120000-4 2.506352+6 1.126000-4 2.610188+6 1.131000-4 2.683704+6 1.137000-4 2.756236+6 1.143000-4 2.811756+6 1.150000-4 2.856256+6 1.157000-4 2.881268+6 1.165000-4 2.888128+6 1.173000-4 2.875976+6 1.180000-4 2.852792+6 1.191000-4 2.798184+6 1.203000-4 2.721236+6 1.218000-4 2.611040+6 1.240000-4 2.440112+6 1.288250-4 2.086689+6 1.350000-4 1.710796+6 1.400000-4 1.456056+6 1.445440-4 1.254897+6 1.500000-4 1.048148+6 1.720000-4 5.281880+5 1.862087-4 3.575642+5 1.972423-4 2.710924+5 2.041738-4 2.307853+5 2.113489-4 1.977137+5 2.170000-4 1.766684+5 2.220000-4 1.610732+5 2.280000-4 1.454876+5 2.330000-4 1.346880+5 2.392000-4 1.235849+5 2.450000-4 1.151056+5 2.511886-4 1.077273+5 2.570396-4 1.020609+5 2.635000-4 9.701920+4 2.691535-4 9.347396+4 2.754229-4 9.032418+4 2.830000-4 8.741880+4 2.900900-4 8.542324+4 2.985383-4 8.376815+4 3.054921-4 8.287239+4 3.162278-4 8.210948+4 3.280000-4 8.187680+4 3.467369-4 8.223324+4 4.168694-4 8.507235+4 4.466836-4 8.560398+4 4.786301-4 8.547507+4 5.128614-4 8.468426+4 5.432503-4 8.349172+4 5.800000-4 8.156400+4 6.200000-4 7.908200+4 6.606934-4 7.627549+4 7.079458-4 7.280404+4 7.586200-4 6.903219+4 8.128305-4 6.502681+4 8.810489-4 6.017675+4 9.500000-4 5.557640+4 1.035142-3 5.035742+4 1.122018-3 4.558115+4 1.230269-3 4.035075+4 1.333521-3 3.601832+4 1.462177-3 3.141755+4 1.621810-3 2.670093+4 1.800000-3 2.246468+4 1.972423-3 1.916604+4 2.162719-3 1.622832+4 2.371374-3 1.365308+4 2.600160-3 1.141321+4 2.884032-3 9.258076+3 3.198895-3 7.450591+3 3.548134-3 5.948208+3 3.935501-3 4.712026+3 4.365158-3 3.703845+3 4.841724-3 2.889307+3 5.370318-3 2.237137+3 5.956621-3 1.719703+3 6.606934-3 1.312559+3 7.328245-3 9.948854+2 8.128305-3 7.490340+2 9.120108-3 5.422585+2 1.023293-2 3.894721+2 1.148154-2 2.775788+2 1.288250-2 1.963641+2 1.445440-2 1.379165+2 1.621810-2 9.619700+1 1.840772-2 6.422710+1 2.089296-2 4.255150+1 2.371374-2 2.797899+1 2.722701-2 1.756965+1 3.126079-2 1.094910+1 3.630781-2 6.507860+0 4.265795-2 3.686725+0 5.069907-2 1.989651+0 6.165950-2 9.805837-1 7.943282-2 3.890573-1 1.348963-1 5.577925-2 1.640590-1 2.739026-2 1.949845-1 1.472783-2 2.290868-1 8.312490-3 2.630268-1 5.127125-3 3.000000-1 3.260383-3 3.388442-1 2.160091-3 3.801894-1 1.474213-3 4.315191-1 9.762855-4 4.731513-1 7.285690-4 5.069907-1 5.881995-4 5.559043-1 4.460967-4 6.531306-1 2.782433-4 7.161434-1 2.137515-4 7.762471-1 1.707105-4 8.609938-1 1.284537-4 9.120108-1 1.104542-4 9.549926-1 9.847544-5 1.000000+0 8.835600-5 1.059254+0 7.785584-5 1.122018+0 6.910275-5 1.202264+0 6.037061-5 1.303167+0 5.201204-5 1.531087+0 3.920369-5 1.819701+0 2.889655-5 2.044000+0 2.368000-5 2.344229+0 1.888013-5 2.691535+0 1.514079-5 3.090295+0 1.223007-5 3.589219+0 9.779041-6 4.168694+0 7.876493-6 4.897788+0 6.286158-6 5.821032+0 4.975465-6 6.918310+0 3.968274-6 8.317638+0 3.139901-6 1.011579+1 2.467694-6 1.244515+1 1.925573-6 1.603245+1 1.434665-6 2.137962+1 1.037689-6 2.851018+1 7.563149-7 4.027170+1 5.220509-7 5.888437+1 3.500423-7 9.332543+1 2.173386-7 1.778279+2 1.125493-7 3.548134+2 5.599308-8 1.412538+3 1.398428-8 1.000000+5 1.97250-10 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.060800-4 1.060800-4 1.000000+5 1.060800-4 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.060800-4 0.0 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 9.840000-5 1.598503+6 9.849000-5 1.650084+6 9.890000-5 1.837998+6 9.930000-5 2.023518+6 9.960000-5 2.163882+6 1.000000-4 2.350212+6 1.003700-4 2.521541+6 1.007000-4 2.672706+6 1.011579-4 2.877715+6 1.016500-4 3.090384+6 1.020000-4 3.235686+6 1.025000-4 3.433422+6 1.030000-4 3.617364+6 1.035142-4 3.790298+6 1.040000-4 3.937164+6 1.045000-4 4.070448+6 1.050700-4 4.199542+6 1.055000-4 4.280694+6 1.060000-4 4.357710+6 1.065000-4 4.416624+6 1.072000-4 4.470402+6 1.080000-4 4.494930+6 1.087000-4 4.488036+6 1.095000-4 4.453464+6 1.105000-4 4.378572+6 1.115000-4 4.278024+6 1.128000-4 4.123158+6 1.143000-4 3.927438+6 1.170000-4 3.569730+6 1.230269-4 2.869704+6 1.288250-4 2.337715+6 1.333521-4 1.992908+6 1.381800-4 1.679084+6 1.445440-4 1.339945+6 1.603245-4 7.893587+5 1.690000-4 6.067860+5 1.778279-4 4.739849+5 1.850000-4 3.938352+5 1.905461-4 3.447251+5 1.950000-4 3.118608+5 2.000000-4 2.808006+5 2.060000-4 2.503200+5 2.113489-4 2.283032+5 2.162719-4 2.115878+5 2.213095-4 1.974267+5 2.264644-4 1.855214+5 2.317395-4 1.755987+5 2.371374-4 1.674109+5 2.430000-4 1.603710+5 2.483133-4 1.553553+5 2.540973-4 1.510960+5 2.600160-4 1.477903+5 2.660725-4 1.452935+5 2.743100-4 1.430212+5 2.830000-4 1.416846+5 2.917427-4 1.411402+5 3.054921-4 1.413679+5 3.273407-4 1.430954+5 3.672823-4 1.465442+5 3.935501-4 1.478275+5 4.216965-4 1.480940+5 4.500000-4 1.472166+5 4.786301-4 1.453724+5 5.069907-4 1.428423+5 5.400000-4 1.391904+5 5.800000-4 1.340628+5 6.237348-4 1.280377+5 6.700000-4 1.214034+5 7.244360-4 1.136366+5 7.800000-4 1.059798+5 8.413951-4 9.795330+4 9.120108-4 8.945682+4 1.000000-3 7.992840+4 1.083927-3 7.191875+4 1.190000-3 6.314520+4 1.303167-3 5.519621+4 1.412538-3 4.869911+4 1.548817-3 4.192689+4 1.730000-3 3.470550+4 1.927525-3 2.858507+4 2.150000-3 2.328720+4 2.400000-3 1.877364+4 2.660725-3 1.521472+4 2.951209-3 1.222327+4 3.273407-3 9.736640+3 3.641000-3 7.650552+3 4.027170-3 6.044126+3 4.466836-3 4.706497+3 4.954502-3 3.637148+3 5.495409-3 2.789512+3 6.095369-3 2.123847+3 6.760830-3 1.605626+3 7.498942-3 1.205299+3 8.413951-3 8.694216+2 9.332543-3 6.434873+2 1.035142-2 4.731595+2 1.161449-2 3.337099+2 1.303167-2 2.335627+2 1.462177-2 1.622611+2 1.640590-2 1.119191+2 1.840772-2 7.666155+1 2.089296-2 5.017173+1 2.371374-2 3.257468+1 2.691535-2 2.099470+1 3.090295-2 1.290120+1 3.548134-2 7.868900+0 4.073803-2 4.766329+0 4.731513-2 2.746909+0 5.623413-2 1.443192+0 6.998420-2 6.332163-1 1.216186-1 7.790821-2 1.479108-1 3.732931-2 1.737801-1 2.049936-2 2.018366-1 1.183689-2 2.290868-1 7.487056-3 2.570396-1 4.969474-3 2.884032-1 3.322306-3 3.198895-1 2.328544-3 3.548134-1 1.643959-3 3.890451-1 1.214432-3 4.265795-1 9.028451-4 4.623810-1 7.007736-4 5.011872-1 5.474743-4 5.432503-1 4.311799-4 5.956621-1 3.306443-4 6.606935-1 2.467503-4 7.244360-1 1.916140-4 7.852356-1 1.545716-4 8.609938-1 1.214064-4 9.120108-1 1.050571-4 9.660509-1 9.156495-5 1.011579+0 8.253927-5 1.071519+0 7.299682-5 1.148154+0 6.347355-5 1.230269+0 5.557929-5 1.333521+0 4.793210-5 1.640590+0 3.321300-5 1.883649+0 2.607543-5 2.113489+0 2.145377-5 2.426610+0 1.710652-5 2.786121+0 1.374359-5 3.198895+0 1.112084-5 3.715352+0 8.907777-6 4.365158+0 7.070500-6 5.128614+0 5.654673-6 6.095369+0 4.484985-6 7.328245+0 3.531185-6 8.810489+0 2.800347-6 1.109175+1 2.115553-6 1.380384+1 1.634128-6 1.717908+1 1.270812-6 2.238721+1 9.447863-7 2.917427+1 7.067976-7 4.120975+1 4.881192-7 6.095369+1 3.235272-7 9.549926+1 2.033814-7 1.819701+2 1.053485-7 3.630781+2 5.241917-8 1.445440+3 1.309278-8 1.000000+5 1.88990-10 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 9.840000-5 9.840000-5 1.000000+5 9.840000-5 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 9.840000-5 0.0 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.500000+1 0.0 0.0 0.0 7.640000-6 7.348782+4 7.673615-6 7.427974+4 7.762471-6 7.553516+4 7.950000-6 7.869798+4 8.128305-6 8.218065+4 8.350000-6 8.712516+4 8.609938-6 9.378219+4 8.912509-6 1.025942+5 9.225714-6 1.129071+5 9.700000-6 1.307006+5 1.202264-5 2.508486+5 1.310000-5 3.233923+5 1.428894-5 4.150872+5 1.548817-5 5.196333+5 1.678804-5 6.461036+5 1.800000-5 7.750896+5 1.905461-5 8.943495+5 2.018366-5 1.027849+6 2.113489-5 1.143049+6 2.230000-5 1.284317+6 2.344229-5 1.420367+6 2.454709-5 1.547255+6 2.570396-5 1.673013+6 2.660725-5 1.764654+6 2.770000-5 1.866583+6 2.900000-5 1.974669+6 3.019952-5 2.062225+6 3.162278-5 2.151756+6 3.311311-5 2.229643+6 3.467369-5 2.295711+6 3.672823-5 2.362999+6 3.890451-5 2.413040+6 4.073803-5 2.439081+6 4.300000-5 2.452612+6 4.518559-5 2.446694+6 4.722300-5 2.423594+6 4.900000-5 2.390092+6 5.101000-5 2.338827+6 5.308844-5 2.272417+6 5.500000-5 2.200860+6 5.730000-5 2.104723+6 5.956621-5 2.003201+6 6.165950-5 1.905997+6 6.400000-5 1.795612+6 6.683439-5 1.662815+6 6.918310-5 1.555863+6 7.161434-5 1.448677+6 7.413102-5 1.341752+6 7.673615-5 1.236218+6 7.943282-5 1.132919+6 8.222426-5 1.031918+6 8.511380-5 9.336453+5 8.810489-5 8.391645+5 9.120108-5 7.490974+5 9.440609-5 6.636588+5 9.772372-5 5.835526+5 1.011579-4 5.094493+5 1.040000-4 4.543406+5 1.071519-4 3.992462+5 1.109175-4 3.412455+5 1.148154-4 2.892974+5 1.180000-4 2.521440+5 1.216186-4 2.150660+5 1.250000-4 1.849037+5 1.280000-4 1.613469+5 1.315000-4 1.371926+5 1.350000-4 1.162406+5 1.380384-4 1.003945+5 1.415000-4 8.468830+4 1.445440-4 7.268515+4 1.479108-4 6.115033+4 1.510000-4 5.201127+4 1.540000-4 4.431249+4 1.570000-4 3.763441+4 1.600000-4 3.185366+4 1.627000-4 2.733412+4 1.660000-4 2.259395+4 1.690000-4 1.894843+4 1.720000-4 1.585620+4 1.760000-4 1.247726+4 1.835000-4 8.019516+3 1.865000-4 6.795858+3 1.885000-4 6.127252+3 1.905461-4 5.552720+3 1.922000-4 5.162581+3 1.936900-4 4.863707+3 1.950000-4 4.639466+3 1.965000-4 4.424186+3 1.980000-4 4.250375+3 1.995262-4 4.113185+3 2.010000-4 4.016058+3 2.025000-4 3.950366+3 2.040000-4 3.915764+3 2.055000-4 3.909978+3 2.070000-4 3.930901+3 2.085000-4 3.976535+3 2.100000-4 4.044986+3 2.118000-4 4.154778+3 2.140000-4 4.326044+3 2.162719-4 4.541033+3 2.188000-4 4.820229+3 2.214300-4 5.149394+3 2.290868-4 6.278214+3 2.317395-4 6.698867+3 2.344229-4 7.133011+3 2.371374-4 7.579892+3 2.426610-4 8.508388+3 2.483133-4 9.476573+3 2.540973-4 1.047544+4 2.600160-4 1.149495+4 2.660725-4 1.252428+4 2.722701-4 1.355210+4 2.786121-4 1.456686+4 2.851018-4 1.555705+4 2.917427-4 1.651157+4 2.985383-4 1.741990+4 3.054921-4 1.825625+4 3.126079-4 1.902287+4 3.198895-4 1.971783+4 3.273407-4 2.033659+4 3.376700-4 2.104558+4 3.467369-4 2.153404+4 3.589219-4 2.201167+4 3.715352-4 2.231655+4 3.845918-4 2.246171+4 4.073803-4 2.245589+4 4.216965-4 2.236468+4 4.365158-4 2.215923+4 4.518559-4 2.185016+4 4.731513-4 2.129727+4 4.954502-4 2.061062+4 5.188000-4 1.983945+4 5.432503-4 1.898845+4 5.754399-4 1.783659+4 6.095369-4 1.662485+4 6.456542-4 1.538855+4 6.839116-4 1.414741+4 7.244360-4 1.292406+4 7.673615-4 1.173663+4 8.222426-4 1.037939+4 8.810489-4 9.112254+3 9.440609-4 7.945421+3 1.011579-3 6.883365+3 1.096478-3 5.777854+3 1.188502-3 4.811668+3 1.288250-3 3.977112+3 1.396368-3 3.264096+3 1.531087-3 2.583661+3 1.659587-3 2.092118+3 1.819701-3 1.631690+3 2.018366-3 1.223660+3 2.213095-3 9.422897+2 2.398833-3 7.447618+2 2.570396-3 6.048774+2 2.786121-3 4.713546+2 3.054921-3 3.519155+2 3.349654-3 2.611548+2 3.715352-3 1.853075+2 4.120975-3 1.305038+2 4.570882-3 9.130783+1 5.069907-3 6.343486+1 5.623413-3 4.375163+1 6.237348-3 2.995934+1 6.918310-3 2.037156+1 7.673615-3 1.375950+1 8.609938-3 8.830588+0 9.660509-3 5.624535+0 1.083927-2 3.556929+0 1.216186-2 2.233943+0 1.380384-2 1.328972+0 1.566751-2 7.844737-1 1.778279-2 4.595495-1 2.041738-2 2.543906-1 2.344229-2 1.397772-1 2.722701-2 7.252634-2 3.235937-2 3.374826-2 3.935501-2 1.406573-2 5.069907-2 4.492012-3 8.709636-2 3.886444-4 1.096478-1 1.380707-4 1.303167-1 6.385578-5 1.479108-1 3.650422-5 1.659587-1 2.212497-5 1.883649-1 1.285065-5 2.187762-1 6.818404-6 2.454709-1 4.215478-6 2.754229-1 2.625086-6 3.054921-1 1.725854-6 3.388442-1 1.142871-6 3.758374-1 7.626848-7 4.168694-1 5.130970-7 4.570882-1 3.634120-7 4.954502-1 2.705365-7 5.370318-1 2.030154-7 5.821032-1 1.535080-7 6.309573-1 1.169588-7 6.839117-1 8.980340-8 7.413102-1 6.949735-8 8.035261-1 5.417035-8 8.413951-1 4.683129-8 8.810489-1 4.071842-8 9.225714-1 3.564458-8 9.549926-1 3.242359-8 9.885531-1 2.963788-8 1.023293+0 2.723609-8 1.059254+0 2.515207-8 1.109175+0 2.277119-8 1.161449+0 2.075207-8 1.230269+0 1.861756-8 1.318257+0 1.646203-8 1.513561+0 1.304490-8 1.883649+0 8.873081-9 2.089296+0 7.439423-9 2.398833+0 5.928202-9 2.754229+0 4.759845-9 3.162278+0 3.849221-9 3.672823+0 3.081415-9 4.315191+0 2.444473-9 5.069907+0 1.953984-9 6.025596+0 1.548955-9 7.244360+0 1.218961-9 8.709636+0 9.66259-10 1.083927+1 7.39779-10 1.364583+1 5.63338-10 1.717908+1 4.32271-10 2.238721+1 3.21379-10 2.917427+1 2.40423-10 4.120975+1 1.66032-10 6.095369+1 1.10056-10 9.549926+1 6.91803-11 1.819701+2 3.58351-11 3.630781+2 1.78307-11 1.445440+3 4.45377-12 1.000000+5 6.42870-14 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.500000+1 0.0 0.0 0.0 7.640000-6 7.640000-6 1.000000+5 7.640000-6 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.500000+1 0.0 0.0 0.0 7.640000-6 0.0 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.600000+1 0.0 0.0 0.0 6.800000-6 1.221284+5 7.100000-6 1.304163+5 7.328245-6 1.380318+5 7.600000-6 1.487147+5 7.852356-6 1.601116+5 8.200000-6 1.778964+5 8.709636-6 2.079163+5 1.100000-5 3.903393+5 1.216186-5 5.079072+5 1.333521-5 6.422055+5 1.462177-5 8.066337+5 1.603245-5 1.006169+6 1.737801-5 1.212785+6 1.862087-5 1.414238+6 1.980000-5 1.611078+6 2.089296-5 1.794950+6 2.190000-5 1.961811+6 2.300000-5 2.137594+6 2.400000-5 2.289514+6 2.511886-5 2.448410+6 2.630268-5 2.600890+6 2.754229-5 2.741579+6 2.884032-5 2.868976+6 3.019952-5 2.982051+6 3.162278-5 3.079017+6 3.326000-5 3.166369+6 3.507519-5 3.239227+6 3.715352-5 3.295981+6 3.935501-5 3.327474+6 4.168694-5 3.333635+6 4.365158-5 3.316876+6 4.570882-5 3.277084+6 4.786301-5 3.213444+6 4.954502-5 3.149127+6 5.150000-5 3.058979+6 5.370318-5 2.941123+6 5.580000-5 2.817767+6 5.800000-5 2.680178+6 6.025596-5 2.533247+6 6.300000-5 2.353526+6 6.580000-5 2.173834+6 6.839116-5 2.012026+6 7.150000-5 1.827033+6 7.413102-5 1.679547+6 7.673615-5 1.540811+6 7.943282-5 1.405216+6 8.222426-5 1.274228+6 8.511380-5 1.147951+6 8.810489-5 1.026656+6 9.150000-5 9.013154+5 9.440609-5 8.041255+5 9.772372-5 7.035318+5 1.011579-4 6.108170+5 1.047129-4 5.264168+5 1.082000-4 4.536136+5 1.110000-4 4.016901+5 1.148154-4 3.396048+5 1.180000-4 2.944876+5 1.210600-4 2.561185+5 1.244515-4 2.188069+5 1.280000-4 1.850382+5 1.307000-4 1.624804+5 1.340000-4 1.381466+5 1.365000-4 1.218894+5 1.396368-4 1.038986+5 1.428894-4 8.774365+4 1.450000-4 7.846145+4 1.480000-4 6.673080+4 1.510000-4 5.656654+4 1.540000-4 4.779921+4 1.570000-4 4.025507+4 1.600000-4 3.377997+4 1.627000-4 2.876476+4 1.660000-4 2.356554+4 1.698244-4 1.865603+4 1.786400-4 1.094575+4 1.810000-4 9.568207+3 1.835000-4 8.367198+3 1.850800-4 7.732156+3 1.865000-4 7.236475+3 1.880000-4 6.784726+3 1.895000-4 6.401799+3 1.908000-4 6.121970+3 1.922000-4 5.871226+3 1.936900-4 5.658363+3 1.950000-4 5.514254+3 1.961000-4 5.422494+3 1.973000-4 5.351076+3 1.985000-4 5.307933+3 2.000000-4 5.291236+3 2.015000-4 5.312996+3 2.028000-4 5.360676+3 2.065380-4 5.571576+3 2.098200-4 5.791215+3 2.137962-4 6.100432+3 2.182000-4 6.498548+3 2.213095-4 6.815453+3 2.264644-4 7.407622+3 2.317395-4 8.102171+3 2.371374-4 8.908448+3 2.454709-4 1.034825+4 2.722701-4 1.655996+4 2.818383-4 1.927268+4 2.884032-4 2.122830+4 2.951209-4 2.326976+4 3.000000-4 2.475469+4 3.090295-4 2.597020+4 3.162278-4 2.681457+4 3.235937-4 2.756639+4 3.311311-4 2.822221+4 3.388442-4 2.878013+4 3.507519-4 2.943295+4 3.630781-4 2.986939+4 3.768700-4 3.011013+4 3.890451-4 3.014119+4 4.120975-4 2.992674+4 4.265795-4 2.964488+4 4.415704-4 2.922638+4 4.623810-4 2.848148+4 4.841724-4 2.755728+4 5.128614-4 2.622364+4 5.370318-4 2.505386+4 5.688529-4 2.348554+4 6.025596-4 2.184626+4 6.382635-4 2.018687+4 6.760830-4 1.852886+4 7.161434-4 1.689971+4 7.585776-4 1.532255+4 8.128305-4 1.352514+4 8.709636-4 1.185283+4 9.332543-4 1.031747+4 1.000000-3 8.923988+3 1.083927-3 7.477121+3 1.174898-3 6.215806+3 1.273503-3 5.128842+3 1.380384-3 4.202512+3 1.500000-3 3.400224+3 1.640590-3 2.687439+3 1.778279-3 2.160264+3 1.927525-3 1.725175+3 2.065380-3 1.414666+3 2.238721-3 1.115145+3 2.454709-3 8.435395+2 2.691535-3 6.338352+2 2.985383-3 4.559606+2 3.311311-3 3.254620+2 3.715352-3 2.219711+2 4.120975-3 1.561031+2 4.570882-3 1.089027+2 5.069907-3 7.539326+1 5.623413-3 5.181468+1 6.237348-3 3.535623+1 6.918310-3 2.395545+1 7.673615-3 1.612085+1 8.609938-3 1.030228+1 9.660509-3 6.533083+0 1.083927-2 4.112871+0 1.216186-2 2.571139+0 1.364583-2 1.596356+0 1.548817-2 9.377901-1 1.737801-2 5.742658-1 1.972423-2 3.324435-1 2.264644-2 1.817324-1 2.630268-2 9.370838-2 3.090295-2 4.555338-2 3.715352-2 1.981060-2 4.623810-2 7.306996-3 9.015711-2 3.406830-4 1.109175-1 1.323700-4 1.303167-1 6.375363-5 1.479108-1 3.615689-5 1.659587-1 2.177078-5 1.862087-1 1.320523-5 2.137962-1 7.310125-6 2.371374-1 4.723126-6 2.600160-1 3.223767-6 2.851018-1 2.215439-6 3.126079-1 1.533656-6 3.427678-1 1.069917-6 3.715352-1 7.859793-7 4.073803-1 5.566704-7 4.365158-1 4.318416-7 4.677351-1 3.371988-7 5.000000-1 2.674500-7 5.370318-1 2.111316-7 5.821032-1 1.630560-7 6.606935-1 1.092911-7 7.161434-1 8.524406-8 7.673615-1 6.930523-8 8.413951-1 5.299961-8 8.912509-1 4.513205-8 9.332543-1 3.992965-8 9.772372-1 3.555115-8 1.023293+0 3.188065-8 1.071519+0 2.879322-8 1.122018+0 2.616484-8 1.188502+0 2.338025-8 1.288250+0 2.015714-8 1.412538+0 1.714854-8 1.513561+0 1.523381-8 1.840772+0 1.078325-8 2.065380+0 8.858193-9 2.371374+0 7.054305-9 2.722701+0 5.660547-9 3.126079+0 4.574902-9 3.630781+0 3.660168-9 4.216965+0 2.949652-9 4.954502+0 2.355359-9 5.888437+0 1.865255-9 7.079458+0 1.466435-9 8.511380+0 1.161371-9 1.047129+1 9.00827-10 1.318257+1 6.85002-10 1.698244+1 5.11494-10 2.213095+1 3.80166-10 2.917427+1 2.80803-10 4.120975+1 1.93925-10 6.095369+1 1.28539-10 9.549926+1 8.08003-11 1.840772+2 4.13681-11 3.672823+2 2.05859-11 1.462177+3 5.14220-12 1.000000+5 7.50850-14 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.600000+1 0.0 0.0 0.0 6.800000-6 6.800000-6 1.000000+5 6.800000-6 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.600000+1 0.0 0.0 0.0 6.800000-6 0.0 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.001000-5 3.210400+5 5.128614-5 2.913262+5 5.400000-5 2.366360+5 5.580000-5 2.085180+5 5.754399-5 1.862571+5 5.900000-5 1.707842+5 6.070000-5 1.556260+5 6.237348-5 1.431871+5 6.400000-5 1.329884+5 6.606934-5 1.221582+5 6.839116-5 1.122275+5 7.079458-5 1.038188+5 7.328245-5 9.661380+4 7.673615-5 8.845815+4 8.035261-5 8.158339+4 8.500000-5 7.451120+4 9.015711-5 6.832674+4 9.549926-5 6.327849+4 1.011579-4 5.905795+4 1.071519-4 5.550747+4 1.150000-4 5.181620+4 1.500000-4 4.076240+4 1.862087-4 3.324063+4 2.089296-4 2.963969+4 2.400000-4 2.558540+4 2.818383-4 2.141654+4 3.200000-4 1.847418+4 3.845918-4 1.478535+4 4.466836-4 1.223897+4 5.308844-4 9.769727+3 6.309573-4 7.734796+3 7.500000-4 6.076840+3 9.015711-4 4.661604+3 1.083927-3 3.547683+3 1.318257-3 2.633991+3 1.603245-3 1.941964+3 2.065380-3 1.299044+3 2.630268-3 8.782704+2 3.349654-3 5.892166+2 4.168694-3 4.075841+2 5.128614-3 2.853108+2 6.237348-3 2.022009+2 7.585776-3 1.422272+2 8.810489-3 1.080498+2 1.059254-2 7.646397+1 1.303167-2 5.139580+1 1.603245-2 3.428058+1 2.018366-2 2.171408+1 2.454709-2 1.461959+1 2.917427-2 1.023879+1 3.427678-2 7.283585+0 4.073803-2 5.019332+0 4.897788-2 3.347879+0 5.888437-2 2.215583+0 7.079458-2 1.455500+0 8.413951-2 9.751035-1 1.035142-1 5.979258-1 1.333521-1 3.260897-1 1.659587-1 1.919827-1 2.570396-1 6.625805-2 3.198895-1 3.917641-2 3.845918-1 2.534516-2 4.518559-1 1.743354-2 5.188000-1 1.273200-2 6.025596-1 9.131492-3 6.918310-1 6.766992-3 7.943282-1 5.051285-3 9.015711-1 3.886925-3 1.011579+0 3.085573-3 1.216186+0 2.151823-3 1.364583+0 1.729738-3 1.531087+0 1.399561-3 1.737801+0 1.117365-3 1.972423+0 8.984602-4 2.264644+0 7.136210-4 2.600160+0 5.712042-4 3.000000+0 4.571300-4 3.467369+0 3.676061-4 4.027170+0 2.956063-4 4.731513+0 2.355457-4 5.623413+0 1.861388-4 6.683439+0 1.482448-4 8.128305+0 1.154558-4 9.772372+0 9.194259-5 1.188502+1 7.265015-5 1.445440+1 5.776958-5 1.757924+1 4.616703-5 2.264644+1 3.478163-5 2.951209+1 2.602650-5 4.216965+1 1.776069-5 6.237348+1 1.177715-5 9.885531+1 7.319075-6 1.905461+2 3.748740-6 3.801894+2 1.865910-6 1.513561+3 4.661941-7 1.000000+5 7.046700-9 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.001000-5 5.001000-5 1.000000+5 5.001000-5 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.001000-5 0.0 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 3.261000-5 6.839919+6 3.330000-5 6.546800+6 3.427678-5 6.123399+6 3.600000-5 5.418200+6 3.845918-5 4.558163+6 4.073803-5 3.892994+6 4.315191-5 3.302378+6 4.570882-5 2.783610+6 4.900000-5 2.248260+6 6.095369-5 1.132004+6 6.839116-5 7.939492+5 8.035261-5 4.883698+5 1.080000-4 2.017380+5 1.244515-4 1.328578+5 1.400000-4 9.455140+4 1.548817-4 7.108704+4 1.698244-4 5.517664+4 1.862087-4 4.312735+4 2.018366-4 3.500527+4 2.162719-4 2.945507+4 2.317395-4 2.495224+4 2.483133-4 2.129032+4 2.660725-4 1.829156+4 2.851018-4 1.582760+4 3.054921-4 1.379844+4 3.235937-4 1.238276+4 3.467369-4 1.095277+4 3.715352-4 9.753921+3 4.000000-4 8.679440+3 4.315191-4 7.754384+3 4.731513-4 6.823479+3 5.188000-4 6.049266+3 5.754399-4 5.320800+3 6.606934-4 4.519842+3 1.023293-3 2.741091+3 1.230269-3 2.205179+3 1.462177-3 1.785087+3 1.717908-3 1.454416+3 2.018366-3 1.175966+3 2.344229-3 9.585190+2 2.722701-3 7.755134+2 3.126079-3 6.333064+2 3.589219-3 5.135145+2 4.027170-3 4.285885+2 4.623810-3 3.419452+2 5.308844-3 2.707090+2 6.025596-3 2.169095+2 6.918310-3 1.690320+2 7.943282-3 1.306760+2 9.120108-3 1.001892+2 1.135011-2 6.508420+1 1.318257-2 4.809891+1 1.500000-2 3.678820+1 1.686000-2 2.866561+1 1.905461-2 2.187129+1 2.187762-2 1.599129+1 2.511886-2 1.160642+1 2.884032-2 8.363276+0 3.349654-2 5.818255+0 3.890451-2 4.016600+0 4.518559-2 2.752413+0 5.308844-2 1.818293+0 6.237348-2 1.192549+0 7.498942-2 7.303534-1 9.332543-2 4.045724-1 1.202264-1 2.024861-1 1.995262-1 5.023809-2 2.511886-1 2.683756-2 3.019952-1 1.636713-2 3.548134-1 1.069084-2 4.073803-1 7.472500-3 4.677351-1 5.263173-3 5.308844-1 3.844944-3 6.025596-1 2.830482-3 6.760830-1 2.157993-3 7.585776-1 1.657427-3 8.609938-1 1.249078-3 9.332543-1 1.049572-3 1.011579+0 8.882368-4 1.135011+0 7.061636-4 1.258925+0 5.780659-4 1.412538+0 4.666383-4 1.640590+0 3.563144-4 1.862087+0 2.855402-4 2.113489+0 2.304219-4 2.426610+0 1.837393-4 2.786121+0 1.476101-4 3.198895+0 1.194353-4 3.715352+0 9.566715-5 4.365158+0 7.593539-5 5.128614+0 6.072972-5 6.095369+0 4.816700-5 7.328245+0 3.792375-5 8.810489+0 3.007526-5 1.109175+1 2.271994-5 1.380384+1 1.754985-5 1.717908+1 1.364819-5 2.238721+1 1.014643-5 2.917427+1 7.590790-6 4.120975+1 5.242260-6 6.095369+1 3.474609-6 9.660509+1 2.158518-6 1.840772+2 1.118294-6 3.672823+2 5.564736-7 1.462177+3 1.390089-7 1.000000+5 2.029700-9 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 3.261000-5 3.261000-5 1.000000+5 3.261000-5 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 3.261000-5 0.0 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 2.382000-5 1.556168+7 2.786121-5 9.422260+6 3.349654-5 5.253058+6 3.845918-5 3.361083+6 4.570882-5 1.918050+6 5.011872-5 1.431341+6 5.432503-5 1.115486+6 5.821032-5 9.065107+5 6.237348-5 7.416227+5 6.683439-5 6.111599+5 7.150000-5 5.097520+5 7.585776-5 4.376915+5 8.035261-5 3.796495+5 8.511380-5 3.312808+5 9.015711-5 2.907477+5 9.660509-5 2.503723+5 1.035142-4 2.171754+5 1.109175-4 1.897118+5 1.190000-4 1.664984+5 1.273503-4 1.478151+5 1.364583-4 1.318304+5 1.479108-4 1.162271+5 1.621810-4 1.014186+5 1.819701-4 8.622858+4 2.041738-4 7.386311+4 2.371374-4 6.093690+4 4.027170-4 3.141504+4 5.011872-4 2.372535+4 6.025596-4 1.858654+4 7.161434-4 1.467141+4 8.413951-4 1.168286+4 9.885531-4 9.233958+3 1.161449-3 7.245914+3 1.364583-3 5.644535+3 1.603245-3 4.365266+3 1.883649-3 3.351688+3 2.238721-3 2.506617+3 2.630268-3 1.897072+3 3.054921-3 1.454244+3 3.548134-3 1.106752+3 4.120975-3 8.359021+2 4.731513-3 6.405862+2 5.432503-3 4.874497+2 6.237348-3 3.681385+2 7.161434-3 2.759804+2 8.222426-3 2.053391+2 9.440609-3 1.516199+2 1.096478-2 1.083139+2 1.258925-2 7.883081+1 1.445440-2 5.693357+1 1.640590-2 4.194646+1 1.862087-2 3.066551+1 2.137962-2 2.162149+1 2.454709-2 1.513177+1 2.818383-2 1.051205+1 3.235937-2 7.249567+0 3.758374-2 4.808834+0 4.365158-2 3.164617+0 5.069907-2 2.067158+0 5.956621-2 1.296972+0 7.079458-2 7.805468-1 8.609938-2 4.354390-1 1.059254-1 2.329477-1 1.905461-1 3.892741-2 2.344229-1 2.082048-2 2.754229-1 1.288110-2 3.198895-1 8.307210-3 3.672823-1 5.583783-3 4.168694-1 3.908755-3 4.677351-1 2.846498-3 5.188000-1 2.153992-3 5.754399-1 1.641003-3 6.456542-1 1.222053-3 7.161434-1 9.438257-4 7.943282-1 7.340958-4 8.709636-1 5.884515-4 9.332543-1 5.018535-4 9.885531-1 4.421987-4 1.071519+0 3.739819-4 1.161449+0 3.184973-4 1.258925+0 2.729210-4 1.396368+0 2.256394-4 1.717908+0 1.559644-4 1.949845+0 1.252445-4 2.213095+0 1.013113-4 2.540973+0 8.099142-5 2.917427+0 6.522563-5 3.388442+0 5.199807-5 3.935501+0 4.176769-5 4.623810+0 3.324540-5 5.495409+0 2.624454-5 6.531306+0 2.088007-5 7.943282+0 1.624706-5 9.549926+0 1.292617-5 1.174898+1 1.006752-5 1.428894+1 8.002385-6 1.737801+1 6.393335-6 2.264644+1 4.754468-6 2.951209+1 3.557763-6 4.168694+1 2.457627-6 6.165950+1 1.629302-6 9.772372+1 1.012360-6 1.883649+2 5.184489-7 3.758374+2 2.580391-7 1.496236+3 6.446494-8 1.000000+5 9.63250-10 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 2.382000-5 2.382000-5 1.000000+5 2.382000-5 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 2.382000-5 0.0 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.600000+1 0.0 0.0 0.0 4.710000-6 3.190102+6 4.786301-6 3.267928+6 5.000000-6 3.431200+6 5.200000-6 3.560056+6 5.432503-6 3.685212+6 5.700000-6 3.801140+6 6.000000-6 3.900920+6 6.382635-6 3.992273+6 6.760830-6 4.049919+6 7.200000-6 4.082320+6 7.700000-6 4.086440+6 8.200000-6 4.061200+6 8.709636-6 4.010663+6 9.225714-6 3.937169+6 9.772372-6 3.839611+6 1.035142-5 3.719047+6 1.096478-5 3.574847+6 1.161449-5 3.408590+6 1.230269-5 3.224354+6 1.290000-5 3.060440+6 1.350000-5 2.894188+6 1.420000-5 2.702264+6 1.500000-5 2.489744+6 1.584893-5 2.276303+6 1.678804-5 2.056834+6 1.778279-5 1.844963+6 1.905461-5 1.606326+6 2.041738-5 1.388041+6 2.213095-5 1.161271+6 2.430000-5 9.370153+5 2.722701-5 7.154872+5 3.019952-5 5.558599+5 3.349654-5 4.288386+5 3.650000-5 3.435256+5 3.935501-5 2.811232+5 4.265795-5 2.251080+5 4.570882-5 1.849312+5 4.954502-5 1.458917+5 5.370318-5 1.142678+5 5.888437-5 8.577725+4 6.531306-5 6.161875+4 7.161434-5 4.560659+4 7.762471-5 3.483872+4 8.413951-5 2.642904+4 9.120108-5 1.988099+4 9.800000-5 1.530532+4 1.050000-4 1.183628+4 1.150000-4 8.372480+3 1.364583-4 4.331109+3 1.462177-4 3.337206+3 1.513561-4 2.941350+3 1.566751-4 2.605545+3 1.621810-4 2.319068+3 1.678804-4 2.074527+3 1.737801-4 1.865706+3 1.798871-4 1.687383+3 1.862087-4 1.535175+3 1.927525-4 1.405413+3 2.000000-4 1.288092+3 2.065380-4 1.216321+3 2.137962-4 1.151745+3 2.215400-4 1.096533+3 2.290868-4 1.053356+3 2.371374-4 1.016376+3 2.454709-4 9.858846+2 2.570396-4 9.536325+2 2.691535-4 9.292146+2 2.818383-4 9.110025+2 3.019952-4 8.919578+2 3.235937-4 8.769286+2 4.027170-4 8.454613+2 4.415704-4 8.215576+2 4.786301-4 7.959691+2 5.128614-4 7.700464+2 5.559043-4 7.351890+2 6.025596-4 6.965525+2 6.531306-4 6.547530+2 7.079458-4 6.110854+2 7.673615-4 5.665450+2 8.317638-4 5.216389+2 9.015711-4 4.770599+2 9.772372-4 4.335104+2 1.071519-3 3.857589+2 1.174898-3 3.407168+2 1.288250-3 2.987588+2 1.412538-3 2.601360+2 1.548817-3 2.249887+2 1.698244-3 1.933322+2 1.883649-3 1.617619+2 2.089296-3 1.342792+2 2.348700-3 1.080064+2 2.540973-3 9.273353+1 2.786121-3 7.703071+1 3.090295-3 6.202633+1 3.427678-3 4.956384+1 3.801894-3 3.935455+1 4.216965-3 3.102149+1 4.677351-3 2.426572+1 5.188000-3 1.884212+1 5.754399-3 1.452646+1 6.382635-3 1.111968+1 7.079458-3 8.452136+0 7.852356-3 6.380863+0 8.709636-3 4.785611+0 9.772372-3 3.450060+0 1.096478-2 2.467823+0 1.230269-2 1.751901+0 1.380384-2 1.234604+0 1.548817-2 8.639258-1 1.737801-2 6.004334-1 1.972423-2 3.993625-1 2.238721-2 2.635941-1 2.540973-2 1.727142-1 2.917427-2 1.080759-1 3.349654-2 6.712876-2 3.890451-2 3.977639-2 4.570882-2 2.246969-2 5.432503-2 1.209496-2 6.760830-2 5.471449-3 9.225714-2 1.754870-3 1.348963-1 4.357168-4 1.621810-1 2.230740-4 1.927525-1 1.199047-4 2.264644-1 6.763823-5 2.600160-1 4.169206-5 2.951209-1 2.694035-5 3.311311-1 1.823360-5 3.715352-1 1.242761-5 4.216965-1 8.220017-6 4.623810-1 6.125451-6 5.011872-1 4.764939-6 5.495409-1 3.610356-6 6.309573-1 2.406953-6 6.998420-1 1.786814-6 7.673615-1 1.381268-6 8.511380-1 1.039983-6 9.015711-1 8.935874-7 9.440609-1 7.959218-7 9.885531-1 7.132095-7 1.035142+0 6.433810-7 1.096478+0 5.695755-7 1.161449+0 5.075091-7 1.250000+0 4.414000-7 1.364583+0 3.767765-7 1.531087+0 3.082120-7 1.819701+0 2.271850-7 2.044000+0 1.861700-7 2.344229+0 1.484285-7 2.691535+0 1.190321-7 3.090295+0 9.615076-8 3.589219+0 7.688124-8 4.168694+0 6.192411-8 4.897788+0 4.942157-8 5.821032+0 3.911657-8 6.918310+0 3.119737-8 8.317638+0 2.468528-8 1.011579+1 1.940131-8 1.244515+1 1.513833-8 1.603245+1 1.127878-8 2.137962+1 8.157764-9 2.851018+1 5.946071-9 4.027170+1 4.104271-9 5.956621+1 2.719090-9 9.332543+1 1.708677-9 1.778279+2 8.84837-10 3.548134+2 4.40205-10 1.412538+3 1.09937-10 1.000000+5 1.55070-12 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.600000+1 0.0 0.0 0.0 4.710000-6 4.710000-6 1.000000+5 4.710000-6 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.600000+1 0.0 0.0 0.0 4.710000-6 0.0 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.700000+1 0.0 0.0 0.0 4.130000-6 6.432361+6 4.265795-6 6.579569+6 4.466836-6 6.744320+6 4.677351-6 6.871106+6 4.954502-6 6.981183+6 5.308844-6 7.049779+6 5.623413-6 7.061389+6 6.025596-6 7.026860+6 6.500000-6 6.937800+6 7.000000-6 6.801480+6 7.500000-6 6.634800+6 8.035261-6 6.433091+6 8.609938-6 6.196644+6 9.225714-6 5.925733+6 9.850000-6 5.639952+6 1.047129-5 5.347279+6 1.109175-5 5.050820+6 1.174898-5 4.739072+6 1.244515-5 4.413622+6 1.318257-5 4.080583+6 1.396368-5 3.743522+6 1.479108-5 3.407953+6 1.570000-5 3.068952+6 1.659587-5 2.765674+6 1.770000-5 2.432496+6 1.905461-5 2.082480+6 2.041738-5 1.787976+6 2.230000-5 1.459602+6 2.454709-5 1.161466+6 2.754229-5 8.755601+5 3.054921-5 6.740300+5 3.349654-5 5.309629+5 3.672823-5 4.150815+5 3.935501-5 3.430555+5 4.265795-5 2.727491+5 4.570882-5 2.225341+5 4.954502-5 1.742841+5 5.432503-5 1.305807+5 5.888437-5 1.007422+5 6.456542-5 7.443743+4 7.079458-5 5.465662+4 7.800000-5 3.918522+4 8.511380-5 2.880374+4 9.225714-5 2.151134+4 1.000000-4 1.595424+4 1.244515-4 6.974745+3 1.318257-4 5.634606+3 1.382400-4 4.750303+3 1.445440-4 4.072094+3 1.500000-4 3.603204+3 1.548817-4 3.273977+3 1.603245-4 2.969463+3 1.659587-4 2.709341+3 1.717908-4 2.486806+3 1.778279-4 2.296265+3 1.846300-4 2.120108+3 1.905461-4 1.993542+3 1.972423-4 1.874422+3 2.000000-4 1.831698+3 2.065380-4 1.758278+3 2.137962-4 1.692837+3 2.215400-4 1.637659+3 2.290868-4 1.595281+3 2.398833-4 1.549557+3 2.540973-4 1.507581+3 2.722701-4 1.467569+3 2.951209-4 1.432782+3 3.758374-4 1.353985+3 4.027170-4 1.325317+3 4.415704-4 1.270254+3 4.786301-4 1.215915+3 5.128614-4 1.164428+3 5.559043-4 1.099077+3 6.025596-4 1.029977+3 6.531306-4 9.582014+2 7.079458-4 8.853571+2 7.673615-4 8.127423+2 8.317638-4 7.415586+2 9.120108-4 6.628595+2 1.000000-3 5.879686+2 1.096478-3 5.176344+2 1.202264-3 4.524539+2 1.318257-3 3.927622+2 1.445440-3 3.387169+2 1.584893-3 2.900532+2 1.737801-3 2.465971+2 1.927525-3 2.038629+2 2.162719-3 1.638000+2 2.398833-3 1.335815+2 2.660725-3 1.081295+2 2.917427-3 8.899376+1 3.235937-3 7.095525+1 3.589219-3 5.614295+1 3.981072-3 4.409271+1 4.415704-3 3.437102+1 4.897788-3 2.659383+1 5.432503-3 2.042342+1 6.025596-3 1.557060+1 6.683439-3 1.178598+1 7.413102-3 8.859023+0 8.222426-3 6.613593+0 9.120108-3 4.904450+0 1.011579-2 3.613230+0 1.135011-2 2.553736+0 1.273503-2 1.791050+0 1.428894-2 1.246774+0 1.603245-2 8.615937-1 1.798871-2 5.912339-1 2.041738-2 3.876745-1 2.317395-2 2.521819-1 2.630268-2 1.628202-1 3.019952-2 1.002308-1 3.467369-2 6.123047-2 4.027170-2 3.562318-2 4.731513-2 1.971673-2 5.688529-2 9.945563-3 6.839116-2 4.978012-3 1.230269-1 5.388790-4 1.500000-1 2.560400-4 1.757924-1 1.420451-4 2.018366-1 8.561006-5 2.290868-1 5.416779-5 2.570396-1 3.596741-5 2.884032-1 2.405793-5 3.198895-1 1.687244-5 3.548134-1 1.192109-5 3.890451-1 8.812912-6 4.265795-1 6.556717-6 4.623810-1 5.092732-6 5.011872-1 3.981600-6 5.432503-1 3.138088-6 5.956621-1 2.408998-6 6.531306-1 1.859626-6 7.161434-1 1.446000-6 7.762471-1 1.168192-6 8.511380-1 9.205463-7 9.015711-1 7.976130-7 9.549926-1 6.956201-7 1.000000+0 6.269400-7 1.059254+0 5.543652-7 1.135011+0 4.818259-7 1.230269+0 4.125407-7 1.348963+0 3.482267-7 1.778279+0 2.133783-7 2.018366+0 1.716398-7 2.317395+0 1.365026-7 2.660725+0 1.093975-7 3.054921+0 8.831360-8 3.548134+0 7.057348-8 4.120975+0 5.681302-8 4.841724+0 4.531818-8 5.754399+0 3.585034-8 6.839116+0 2.857840-8 8.222427+0 2.260346-8 9.885531+0 1.800732-8 1.202264+1 1.423411-8 1.462177+1 1.132326-8 1.737801+1 9.289296-9 2.238721+1 6.996724-9 2.917427+1 5.234231-9 4.120975+1 3.614798-9 6.095369+1 2.395887-9 9.660509+1 1.488398-9 1.862087+2 7.62150-10 3.715352+2 3.79298-10 1.479108+3 9.47529-11 1.000000+5 1.39960-12 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.700000+1 0.0 0.0 0.0 4.130000-6 4.130000-6 1.000000+5 4.130000-6 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.700000+1 0.0 0.0 0.0 4.130000-6 0.0 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 5.670000-6 9.320740+6 5.821032-6 8.562687+6 6.683439-6 5.377688+6 8.035261-6 2.909714+6 9.549926-6 1.647005+6 1.135011-5 9.389667+5 1.303167-5 6.029796+5 1.462177-5 4.193231+5 1.621810-5 3.043867+5 1.778279-5 2.304105+5 1.927525-5 1.816780+5 2.089296-5 1.443024+5 2.238721-5 1.192501+5 2.400000-5 9.912860+4 2.540973-5 8.570071+4 2.691535-5 7.442413+4 2.851018-5 6.501003+4 3.019952-5 5.713676+4 3.198895-5 5.053503+4 3.400000-5 4.467220+4 3.630781-5 3.940615+4 3.900000-5 3.464200+4 4.216965-5 3.032769+4 4.570882-5 2.664912+4 5.011872-5 2.318367+4 5.623413-5 1.965391+4 6.237348-5 1.705451+4 7.328245-5 1.381066+4 8.511380-5 1.142995+4 1.000000-4 9.375260+3 1.161449-4 7.868788+3 1.603245-4 5.509962+3 1.778279-4 4.880275+3 2.000000-4 4.218640+3 2.344229-4 3.436496+3 3.090295-4 2.381064+3 3.801894-4 1.813374+3 4.168694-4 1.599720+3 6.165950-4 9.254913+2 7.244360-4 7.331137+2 9.549926-4 4.870647+2 1.161449-3 3.615253+2 1.445440-3 2.569844+2 1.862087-3 1.717853+2 2.426610-3 1.118512+2 2.851018-3 8.580338+1 5.188000-3 3.064873+1 6.237348-3 2.220110+1 7.585776-3 1.562325+1 9.225714-3 1.091533+1 1.122018-2 7.570801+0 1.364583-2 5.212248+0 1.659587-2 3.561326+0 2.018366-2 2.414581+0 2.454709-2 1.624298+0 2.884032-2 1.164572+0 3.467369-2 7.883166-1 4.168694-2 5.295071-1 5.011872-2 3.529321-1 6.025596-2 2.333341-1 7.328245-2 1.491339-1 8.609938-2 1.025006-1 1.071519-1 6.110306-2 1.380384-1 3.328957-2 2.570396-1 7.352953-3 3.198895-1 4.348188-3 3.845918-1 2.813359-3 4.518559-1 1.936128-3 5.188000-1 1.414933-3 6.000000-1 1.024900-3 6.839117-1 7.720987-4 7.852356-1 5.769455-4 8.912509-1 4.448376-4 1.011579+0 3.454951-4 1.230269+0 2.357931-4 1.396368+0 1.855950-4 1.566751+0 1.503232-4 1.778279+0 1.201741-4 2.044000+0 9.471800-5 2.344229+0 7.552074-5 2.691535+0 6.056232-5 3.090295+0 4.891832-5 3.589219+0 3.911439-5 4.168694+0 3.150442-5 4.897788+0 2.514338-5 5.821032+0 1.990121-5 6.918310+0 1.587231-5 8.317638+0 1.255900-5 1.011579+1 9.870726-6 1.230269+1 7.807743-6 1.531087+1 6.052164-6 1.862087+1 4.844140-6 2.426610+1 3.608595-6 3.162278+1 2.704563-6 4.518559+1 1.848364-6 6.918310+1 1.183974-6 1.161449+2 6.947508-7 2.317395+2 3.442590-7 4.623810+2 1.715813-7 1.840772+3 4.291781-8 1.000000+5 7.88960-10 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 5.670000-6 5.670000-6 1.000000+5 5.670000-6 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 5.670000-6 0.0 1.000000+5 1.000000+5 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 7.956340-7 1.025500+0 1.121640-6 1.025800+0 1.433900-6 1.026100+0 1.799000-6 1.026600+0 2.536170-6 1.027100+0 3.450520-6 1.027500+0 4.321730-6 1.028100+0 5.883960-6 1.028750+0 7.956340-6 1.029500+0 1.088850-5 1.030100+0 1.369360-5 1.031000+0 1.873750-5 1.032000+0 2.563750-5 1.033200+0 3.591390-5 1.034000+0 4.408760-5 1.035300+0 5.984260-5 1.036640+0 7.956340-5 1.038200+0 1.073730-4 1.039700+0 1.395000-4 1.041500+0 1.856030-4 1.043800+0 2.576230-4 1.046400+0 3.584340-4 1.048300+0 4.462590-4 1.051200+0 6.053410-4 1.054080+0 7.956340-4 1.057700+0 1.084500-3 1.061100+0 1.410660-3 1.065100+0 1.867550-3 1.070400+0 2.605420-3 1.076200+0 3.600680-3 1.080600+0 4.496660-3 1.087100+0 6.058500-3 1.093710+0 7.956340-3 1.102600+0 1.103150-2 1.110700+0 1.438740-2 1.120600+0 1.924650-2 1.133300+0 2.676160-2 1.147500+0 3.695050-2 1.158200+0 4.592030-2 1.174100+0 6.137220-2 1.190110+0 7.956340-2 1.205100+0 9.902660-2 1.227500+0 1.325230-1 1.250000+0 1.713000-1 1.265600+0 2.010230-1 1.294900+0 2.626990-1 1.331800+0 3.501410-1 1.362600+0 4.302890-1 1.397000+0 5.262750-1 1.433800+0 6.350620-1 1.477900+0 7.717120-1 1.500000+0 8.422000-1 1.562500+0 1.046230+0 1.641100+0 1.307920+0 1.706900+0 1.527300+0 1.811600+0 1.871880+0 1.937200+0 2.275450+0 2.000000+0 2.474000+0 2.044000+0 2.612000+0 2.163500+0 2.977370+0 2.372600+0 3.581680+0 2.686300+0 4.411540+0 3.000000+0 5.168000+0 3.500000+0 6.264380+0 4.000000+0 7.259000+0 5.000000+0 9.005000+0 6.000000+0 1.050000+1 7.000000+0 1.183000+1 8.000000+0 1.303000+1 9.000000+0 1.412000+1 1.000000+1 1.513000+1 1.100000+1 1.607000+1 1.200000+1 1.694000+1 1.300000+1 1.776000+1 1.400000+1 1.852000+1 1.500000+1 1.923000+1 1.600000+1 1.990000+1 1.800000+1 2.111000+1 2.000000+1 2.219000+1 2.200000+1 2.317000+1 2.400000+1 2.407000+1 2.600000+1 2.489000+1 2.800000+1 2.564000+1 3.000000+1 2.633000+1 4.000000+1 2.915000+1 5.000000+1 3.125000+1 6.000000+1 3.287000+1 8.000000+1 3.526000+1 1.000000+2 3.694000+1 1.500000+2 3.960000+1 2.000000+2 4.118000+1 3.000000+2 4.303000+1 4.000000+2 4.408000+1 5.000000+2 4.478000+1 6.000000+2 4.527000+1 8.000000+2 4.593000+1 1.000000+3 4.636000+1 1.500000+3 4.698000+1 2.000000+3 4.731000+1 3.000000+3 4.768000+1 4.000000+3 4.787000+1 5.000000+3 4.800000+1 6.000000+3 4.809000+1 8.000000+3 4.820000+1 1.000000+4 4.827000+1 1.500000+4 4.837000+1 2.000000+4 4.842000+1 3.000000+4 4.848000+1 4.000000+4 4.851000+1 5.000000+4 4.852000+1 6.000000+4 4.854000+1 8.000000+4 4.855000+1 1.000000+5 4.856000+1 1 91000 7 8 2.330000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 9.104030-7 2.090400+0 1.236100-6 2.094700+0 1.602790-6 2.099900+0 2.132290-6 2.106600+0 2.966190-6 2.114000+0 4.104100-6 2.119500+0 5.109580-6 2.127900+0 6.929560-6 2.136250+0 9.104030-6 2.147000+0 1.248230-5 2.156900+0 1.621300-5 2.169000+0 2.163720-5 2.184500+0 3.007650-5 2.201800+0 4.161170-5 2.214800+0 5.184490-5 2.234200+0 6.974050-5 2.253680+0 9.104030-5 2.281500+0 1.275180-4 2.307000+0 1.674940-4 2.338200+0 2.252100-4 2.377400+0 3.118880-4 2.410200+0 3.966690-4 2.446800+0 5.045850-4 2.485900+0 6.353000-4 2.532900+0 8.130510-4 2.556430+0 9.104030-4 2.611900+0 1.160880-3 2.660400+0 1.403460-3 2.745300+0 1.878480-3 2.809000+0 2.274960-3 2.904500+0 2.930710-3 3.000000+0 3.658000-3 3.125000+0 4.716300-3 3.234400+0 5.737820-3 3.425800+0 7.724250-3 3.569300+0 9.363910-3 3.784700+0 1.203250-2 4.000000+0 1.490000-2 4.250000+0 1.840470-2 4.625000+0 2.391050-2 5.000000+0 2.963000-2 5.500000+0 3.747160-2 6.000000+0 4.541000-2 6.750000+0 5.721160-2 7.000000+0 6.109000-2 8.000000+0 7.623000-2 9.000000+0 9.068000-2 1.000000+1 1.044000-1 1.100000+1 1.173000-1 1.200000+1 1.295000-1 1.300000+1 1.409000-1 1.400000+1 1.517000-1 1.500000+1 1.620000-1 1.600000+1 1.717000-1 1.800000+1 1.896000-1 2.000000+1 2.059000-1 2.200000+1 2.207000-1 2.400000+1 2.343000-1 2.600000+1 2.467000-1 2.800000+1 2.583000-1 3.000000+1 2.690000-1 4.000000+1 3.130000-1 5.000000+1 3.460000-1 6.000000+1 3.719000-1 8.000000+1 4.106000-1 1.000000+2 4.385000-1 1.500000+2 4.841000-1 2.000000+2 5.124000-1 3.000000+2 5.467000-1 4.000000+2 5.671000-1 5.000000+2 5.811000-1 6.000000+2 5.912000-1 8.000000+2 6.053000-1 1.000000+3 6.146000-1 1.500000+3 6.285000-1 2.000000+3 6.364000-1 3.000000+3 6.450000-1 4.000000+3 6.500000-1 5.000000+3 6.531000-1 6.000000+3 6.553000-1 8.000000+3 6.582000-1 1.000000+4 6.601000-1 1.500000+4 6.626000-1 2.000000+4 6.641000-1 3.000000+4 6.654000-1 4.000000+4 6.663000-1 5.000000+4 6.669000-1 6.000000+4 6.672000-1 8.000000+4 6.676000-1 1.000000+5 6.679000-1 1 91000 7 8 2.330000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 91000 7 9 2.330000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 9.100000+1 1.000000+5 9.100000+1 5.000000+5 9.096000+1 8.750000+5 9.090590+1 1.000000+6 9.089300+1 1.375000+6 9.082450+1 1.500000+6 9.079400+1 1.875000+6 9.068070+1 2.000000+6 9.063700+1 2.375000+6 9.049190+1 2.500000+6 9.043900+1 2.875000+6 9.026650+1 3.000000+6 9.020400+1 3.250000+6 9.006470+1 3.625000+6 8.985030+1 4.000000+6 8.963400+1 4.437500+6 8.935490+1 4.812500+6 8.909780+1 5.000000+6 8.897300+1 5.500000+6 8.859810+1 5.875000+6 8.830220+1 6.437500+6 8.784340+1 6.500000+6 8.778910+1 7.000000+6 8.737400+1 7.875000+6 8.662720+1 9.000000+6 8.564300+1 1.000000+7 8.474000+1 1.250000+7 8.250700+1 1.500000+7 8.023900+1 1.750000+7 7.797400+1 2.000000+7 7.573000+1 2.375000+7 7.240280+1 2.500000+7 7.132500+1 2.875000+7 6.822580+1 3.000000+7 6.724600+1 3.250000+7 6.535480+1 3.500000+7 6.356550+1 3.625000+7 6.270050+1 4.000000+7 6.022100+1 4.500000+7 5.714660+1 4.750000+7 5.568560+1 5.000000+7 5.427600+1 5.500000+7 5.157230+1 6.000000+7 4.903300+1 6.750000+7 4.553020+1 7.000000+7 4.444800+1 8.000000+7 4.051000+1 9.000000+7 3.713100+1 1.000000+8 3.418500+1 1.109400+8 3.131960+1 1.125000+8 3.093580+1 1.203100+8 2.908020+1 1.250000+8 2.801800+1 1.359400+8 2.567680+1 1.500000+8 2.298600+1 1.875000+8 1.761900+1 2.000000+8 1.637900+1 2.171900+8 1.502970+1 2.359400+8 1.390200+1 2.375000+8 1.382070+1 2.500000+8 1.322900+1 2.750000+8 1.224150+1 2.875000+8 1.175920+1 3.000000+8 1.124800+1 3.375000+8 9.700300+0 3.500000+8 9.266900+0 3.812500+8 8.456500+0 3.937500+8 8.138910+0 4.000000+8 7.969800+0 4.125000+8 7.606060+0 4.234400+8 7.276130+0 4.425800+8 6.707000+0 4.750000+8 5.870110+0 4.784700+8 5.793320+0 4.928200+8 5.503270+0 5.000000+8 5.375700+0 5.179700+8 5.105750+0 5.330100+8 4.920410+0 5.569300+8 4.677700+0 6.000000+8 4.325900+0 7.000000+8 3.669600+0 7.500000+8 3.416200+0 7.750000+8 3.289470+0 8.000000+8 3.155500+0 8.250000+8 3.011910+0 8.468800+8 2.880690+0 9.500000+8 2.335880+0 1.000000+9 2.127200+0 1.045900+9 1.979530+0 1.088000+9 1.870420+0 1.139500+9 1.762450+0 1.204300+9 1.655290+0 1.250000+9 1.593770+0 1.258500+9 1.583260+0 1.344800+9 1.491310+0 1.448300+9 1.404170+0 1.500000+9 1.366400+0 1.750000+9 1.211570+0 1.875000+9 1.142740+0 2.000000+9 1.076300+0 2.139200+9 1.004130+0 2.272600+9 9.377560-1 2.443000+9 8.578430-1 2.602800+9 7.883560-1 2.750000+9 7.292530-1 2.752700+9 7.282060-1 2.959000+9 6.530460-1 3.148200+9 5.915130-1 3.379700+9 5.249470-1 3.582200+9 4.737320-1 3.842200+9 4.164300-1 4.131600+9 3.621640-1 4.348700+9 3.270510-1 4.674400+9 2.819210-1 5.000000+9 2.443100-1 5.375000+9 2.084660-1 5.703100+9 1.824340-1 6.277300+9 1.461400-1 7.031000+9 1.115250-1 8.000000+9 8.128700-2 9.500000+9 5.284230-2 1.00000+10 4.641800-2 1.27030+10 2.528490-2 1.84370+10 9.758220-3 3.06880+10 2.629720-3 8.26720+10 2.035130-4 1.00000+11 1.246900-4 1.68570+11 3.271280-5 3.34410+11 5.726690-6 8.62510+11 5.247910-7 2.83020+12 2.689660-8 1.00000+14 3.91870-12 3.16230+15 7.23654-16 1.00000+17 1.27930-19 1 91000 7 0 2.330000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.34000-11 1.000000+2 1.340000-9 1.000000+3 1.340000-7 1.000000+4 1.340000-5 1.000000+5 1.340000-3 5.000000+5 3.350000-2 8.750000+5 1.025938-1 1.000000+6 1.340000-1 1.375000+6 2.500660-1 1.500000+6 2.961000-1 1.875000+6 4.545110-1 2.000000+6 5.137000-1 2.375000+6 7.082540-1 2.500000+6 7.784000-1 2.875000+6 1.002070+0 3.000000+6 1.080700+0 3.250000+6 1.242920+0 3.625000+6 1.496970+0 4.000000+6 1.760500+0 4.437500+6 2.075290+0 4.812500+6 2.348220+0 5.000000+6 2.485000+0 5.500000+6 2.847610+0 5.875000+6 3.116940+0 6.437500+6 3.514970+0 6.500000+6 3.558480+0 7.000000+6 3.904400+0 7.875000+6 4.492420+0 9.000000+6 5.227700+0 1.000000+7 5.873000+0 1.250000+7 7.497500+0 1.500000+7 9.143000+0 1.750000+7 1.076700+1 2.000000+7 1.234500+1 2.375000+7 1.462460+1 2.500000+7 1.536400+1 2.875000+7 1.750460+1 3.000000+7 1.818900+1 3.250000+7 1.950220+1 3.500000+7 2.074950+1 3.625000+7 2.134950+1 4.000000+7 2.306200+1 4.500000+7 2.517190+1 4.750000+7 2.617490+1 5.000000+7 2.716300+1 5.500000+7 2.909970+1 6.000000+7 3.098800+1 6.750000+7 3.374030+1 7.000000+7 3.463100+1 8.000000+7 3.803200+1 9.000000+7 4.113700+1 1.000000+8 4.391600+1 1.109400+8 4.658470+1 1.125000+8 4.693680+1 1.203100+8 4.861600+1 1.250000+8 4.956500+1 1.359400+8 5.161890+1 1.500000+8 5.403000+1 1.875000+8 5.968870+1 2.000000+8 6.137400+1 2.171900+8 6.353850+1 2.359400+8 6.571280+1 2.375000+8 6.588670+1 2.500000+8 6.721900+1 2.750000+8 6.962170+1 2.875000+8 7.069950+1 3.000000+8 7.170700+1 3.375000+8 7.430220+1 3.500000+8 7.505000+1 3.812500+8 7.669110+1 3.937500+8 7.727670+1 4.000000+8 7.755800+1 4.125000+8 7.808740+1 4.234400+8 7.851770+1 4.425800+8 7.923340+1 4.750000+8 8.031310+1 4.784700+8 8.041820+1 4.928200+8 8.084390+1 5.000000+8 8.105300+1 5.179700+8 8.154120+1 5.330100+8 8.192770+1 5.569300+8 8.250820+1 6.000000+8 8.345100+1 7.000000+8 8.522400+1 7.500000+8 8.593190+1 7.750000+8 8.623880+1 8.000000+8 8.653700+1 8.250000+8 8.679700+1 8.468800+8 8.701880+1 9.500000+8 8.785260+1 1.000000+9 8.817000+1 1.045900+9 8.841410+1 1.088000+9 8.861400+1 1.139500+9 8.882380+1 1.204300+9 8.905420+1 1.250000+9 8.918780+1 1.258500+9 8.921120+1 1.344800+9 8.943760+1 1.448300+9 8.965090+1 1.500000+9 8.975200+1 1.750000+9 9.013110+1 1.875000+9 9.026990+1 2.000000+9 9.040000+1 2.139200+9 9.050970+1 2.272600+9 9.059380+1 2.443000+9 9.068430+1 2.602800+9 9.075460+1 2.750000+9 9.080340+1 2.752700+9 9.080430+1 2.959000+9 9.085600+1 3.148200+9 9.089110+1 3.379700+9 9.093130+1 3.582200+9 9.094650+1 3.842200+9 9.096430+1 4.131600+9 9.098260+1 4.348700+9 9.098900+1 4.674400+9 9.099420+1 5.000000+9 9.099900+1 5.375000+9 9.099920+1 5.703100+9 9.099930+1 6.277300+9 9.099950+1 7.031000+9 9.099970+1 8.000000+9 9.100000+1 9.500000+9 9.100000+1 1.00000+10 9.100000+1 1.27030+10 9.100000+1 1.84370+10 9.100000+1 3.06880+10 9.100000+1 8.26720+10 9.100000+1 1.00000+11 9.100000+1 1.68570+11 9.100000+1 3.34410+11 9.100000+1 8.62510+11 9.100000+1 2.83020+12 9.100000+1 1.00000+14 9.100000+1 3.16230+15 9.100000+1 1.00000+17 9.100000+1 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 3.413739-7 1.003393-6 1.852826-7 1.005769-6 1.104152-7 1.008145-6 6.074029-8 1.011050-6 2.399682-8 1.012897-6 3.15296-15 1.013450-6 2.79869-15 1.015850-6 1.66782-15 1.018250-6 9.17482-16 1.020650-6 4.65907-16 1.023050-6 0.0 1.412796-6 0.0 1.418012-6 2.787465-1 1.419751-6 3.704833-1 1.423228-6 6.767181-1 1.426705-6 1.141040+0 1.430618-6 1.872788+0 1.436649-6 3.267217+0 1.441050-6 4.211232+0 1.444622-6 4.714382+0 1.447939-6 4.867343+0 1.451591-6 4.624601+0 1.455041-6 4.072706+0 1.460778-6 2.769683+0 1.464957-6 1.819202+0 1.468652-6 1.144820+0 1.471912-6 6.998663-1 1.475389-6 3.850022-1 1.480388-6 1.100866-1 1.482344-6 0.0 1.534325-6 0.0 1.540934-6 3.819332-7 1.541878-6 4.359384-7 1.544006-6 6.388234-7 1.551607-6 2.196581-1 1.555407-6 4.012228-1 1.559208-6 6.765159-1 1.563008-6 1.052990+0 1.574884-6 2.496808+0 1.578447-6 2.784333+0 1.582413-6 2.885809+0 1.586354-6 2.746043+0 1.590299-6 2.398046+0 1.601249-6 1.054750+0 1.605050-6 6.787541-1 1.608731-6 4.091243-1 1.612532-6 2.247615-1 1.617876-6 6.526937-2 1.619987-6 8.178541-4 1.620000-6 4.089304-4 1.620014-6 0.0 1.955722-6 0.0 1.960536-6 1.08264-16 1.965350-6 2.14224-16 1.970164-6 3.91298-16 1.974977-6 6.59783-16 1.979791-6 1.02695-15 1.981752-6 1.20938-15 1.991507-6 4.171390-2 1.996385-6 7.619385-2 2.001263-6 1.284733-1 2.006141-6 1.999676-1 2.020774-6 4.665772-1 2.025652-6 5.273341-1 2.030530-6 5.501767-1 2.035408-6 5.298738-1 2.040286-6 4.710821-1 2.054919-6 2.048297-1 2.059797-6 1.322310-1 2.064675-6 7.880019-2 2.069553-6 4.334863-2 2.074430-6 2.201291-2 2.079308-6 0.0 2.125064-6 0.0 2.130295-6 2.444094-8 2.135525-6 4.836188-8 2.140756-6 8.833692-8 2.145987-6 1.489482-7 2.151217-6 2.318366-7 2.156448-6 3.331062-7 2.161678-6 4.418118-7 2.166909-6 5.409359-7 2.172139-6 6.113757-7 2.177370-6 6.378587-7 2.182601-6 6.143201-7 2.187831-6 5.461588-7 2.193062-6 4.482261-7 2.203523-6 2.374736-7 2.208753-6 1.533047-7 2.213984-6 9.135863-8 2.219215-6 5.025713-8 2.224445-6 2.552113-8 2.229676-6 0.0 2.509375-6 0.0 2.518640-6 3.236227+0 2.521728-6 4.301286+0 2.527904-6 7.926728+0 2.534081-6 1.344991+1 2.540837-6 2.188761+1 2.559173-6 5.008862+1 2.565530-6 5.676970+1 2.572003-6 5.920080+1 2.578357-6 5.682951+1 2.584368-6 5.073212+1 2.599116-6 2.846103+1 2.602023-6 2.388997+1 2.608199-6 1.584134+1 2.614376-6 9.752275+0 2.620552-6 5.579747+0 2.630309-6 1.458944+0 2.632905-6 4.090950-1 2.636523-6 2.770442-1 2.644291-6 1.055766-1 2.648952-6 0.0 2.661022-6 0.0 2.670847-6 2.35044-14 2.674122-6 3.12398-14 2.680672-6 5.70621-14 2.687221-6 9.62146-14 2.694010-6 1.52141-13 2.702921-6 1.943988-8 2.707272-6 4.110975-8 2.713903-6 8.343421-8 2.716227-6 1.025120-7 2.720534-6 1.459143-7 2.722880-6 1.742278-7 2.725954-6 2.186883-7 2.729533-6 3.073294-7 2.736186-6 4.939684-7 2.740427-6 6.297997-7 2.747058-6 8.778322-7 2.766951-6 1.723115-6 2.776103-6 2.013560-6 2.785108-6 2.127924-6 2.796810-6 3.034482-2 2.798818-6 6.454898-2 2.806737-6 2.145640-1 2.810578-6 2.940195-1 2.817462-6 5.135998-1 2.824346-6 8.318219-1 2.831230-6 1.248723+0 2.846805-6 2.357872+0 2.853660-6 2.749990+0 2.860146-6 2.968636+0 2.865650-6 3.016712+0 2.872534-6 2.853957+0 2.882795-6 2.259844+0 2.897431-6 1.224232+0 2.900070-6 1.046723+0 2.906954-6 6.693879-1 2.913838-6 3.956208-1 2.920722-6 2.091919-1 2.922212-6 1.833033-1 2.931048-6 5.214060-2 2.934490-6 0.0 2.947130-6 0.0 2.959825-6 7.619658+0 2.961638-6 8.697073+0 2.968892-6 1.588592+1 2.976146-6 2.678584+1 2.984307-6 4.396358+1 2.997015-6 7.704196+1 3.005615-6 9.806822+1 3.013590-6 1.107151+2 3.020519-6 1.142140+2 3.027590-6 1.093525+2 3.035481-6 9.505921+1 3.046901-6 6.588334+1 3.055940-6 4.270565+1 3.063194-6 2.756928+1 3.070448-6 1.642932+1 3.077702-6 9.037903+0 3.088583-6 2.297472+0 3.092210-6 0.0 3.182946-6 0.0 3.183102-6 4.153180-5 3.190937-6 4.330224-2 3.198772-6 8.567082-2 3.206606-6 1.564638-1 3.214441-6 2.637868-1 3.222276-6 4.105348-1 3.230111-6 5.899211-1 3.241912-6 8.814579-1 3.245879-6 9.736188-1 3.253829-6 1.109892+0 3.261779-6 1.171783+0 3.269729-6 1.149741+0 3.277679-6 1.053789+0 3.301530-6 5.911413-1 3.309480-6 4.591229-1 3.316294-6 3.657086-1 3.324128-6 2.881761-1 3.339798-6 1.823245-1 3.352410-6 1.782478-1 3.365756-6 1.838206-1 3.376570-6 1.946935-1 3.387086-6 1.928698-1 3.400078-6 1.994529-1 3.408988-6 2.114211-1 3.436620-6 2.759079-1 3.444876-6 2.797681-1 3.449000-6 2.763568-1 3.457110-6 2.533150-1 3.465169-6 2.208820-1 3.482268-6 1.304473-1 3.490840-6 1.161104-1 3.499058-6 1.100808-1 3.507628-6 1.316401-1 3.516553-6 1.876324-1 3.525561-6 2.781552-1 3.534175-6 3.879319-1 3.550838-6 6.171426-1 3.560018-6 7.000977-1 3.568632-6 7.287380-1 3.577246-6 7.036504-1 3.585860-6 6.325108-1 3.611702-6 3.225485-1 3.619704-6 2.438870-1 3.627978-6 1.805494-1 3.636549-6 1.323938-1 3.644753-6 9.889662-2 3.653534-6 7.512798-2 3.662505-6 7.851541-2 3.671476-6 9.392485-2 3.680718-6 1.278318-1 3.689521-6 1.795925-1 3.698387-6 2.468978-1 3.716329-6 3.936887-1 3.725299-6 4.483120-1 3.734270-6 4.730544-1 3.743241-6 4.643342-1 3.770528-6 3.605494-1 3.779764-6 3.468727-1 3.788999-6 3.704090-1 3.798234-6 4.344859-1 3.807469-6 5.320928-1 3.825444-6 7.404266-1 3.835175-6 8.335435-1 3.844410-6 8.672206-1 3.853645-6 8.532225-1 3.872702-6 7.230354-1 3.890720-6 5.803649-1 3.904190-6 5.068545-1 3.922948-6 4.433883-1 3.938499-6 4.082367-1 3.994000-6 3.705674-1 4.055851-6 3.453801-1 4.077502-6 3.605817-1 4.085467-6 3.725967-1 4.102876-6 4.315588-1 4.134775-6 6.129930-1 4.144205-6 6.557362-1 4.152795-6 6.791340-1 4.162859-6 6.824922-1 4.179895-6 6.365511-1 4.195559-6 5.667626-1 4.215999-6 5.995308-1 4.226326-6 6.732820-1 4.238031-6 8.334520-1 4.249259-6 1.059368+0 4.280277-6 1.862565+0 4.290055-6 2.039536+0 4.301706-6 2.109664+0 4.312411-6 2.039804+0 4.320106-6 1.946795+0 4.341621-6 2.234811+0 4.351974-6 2.632451+0 4.363286-6 3.505063+0 4.375151-6 4.926699+0 4.407061-6 9.674460+0 4.416564-6 1.060803+1 4.427262-6 1.093362+1 4.437749-6 1.046455+1 4.450448-6 8.986003+0 4.480092-6 4.333652+0 4.490387-6 3.038558+0 4.500622-6 2.085743+0 4.510804-6 1.448237+0 4.532067-6 6.345592-1 4.624689-6 6.457734-1 4.699966-6 6.382155-1 4.775801-6 6.862262-1 4.811740-6 7.488832-1 4.828991-6 8.062120-1 4.852762-6 1.159852+0 4.866134-6 1.462186+0 4.878020-6 1.825286+0 4.893525-6 2.431263+0 4.916830-6 3.429911+0 4.929876-6 3.842819+0 4.938052-6 4.020821+0 4.949664-6 4.062165+0 4.961995-6 3.847515+0 4.976544-6 3.329241+0 5.007280-6 1.946032+0 5.019166-6 1.520664+0 5.031052-6 1.211256+0 5.042938-6 1.006801+0 5.066709-6 7.661723-1 5.075581-6 7.722263-1 5.100567-6 9.099224-1 5.113060-6 1.021165+0 5.125553-6 1.182533+0 5.143769-6 1.511633+0 5.173674-6 2.099776+0 5.189107-6 2.299357+0 5.204543-6 2.319255+0 5.217256-6 2.221210+0 5.236445-6 1.951633+0 5.253333-6 1.675811+0 5.265141-6 1.535630+0 5.276470-6 1.464094+0 5.289600-6 1.461013+0 5.305996-6 1.552361+0 5.344340-6 1.808132+0 5.369833-6 1.827774+0 5.408130-6 1.731082+0 5.611154-6 1.606817+0 5.698060-6 1.684594+0 5.801743-6 1.620249+0 5.956144-6 1.631728+0 6.113499-6 1.600000+0 6.226553-6 1.635113+0 6.382635-6 1.583999+0 8.210602-6 1.572042+0 1.280855-5 1.620805+0 1.728077-5 1.644521+0 1.866089-5 1.688824+0 1.875275-5 3.832515+0 1.879868-5 5.603155+0 1.884461-5 8.286803+0 1.889054-5 1.195608+1 1.902834-5 2.563768+1 1.907427-5 2.875619+1 1.912594-5 2.980047+1 1.917187-5 2.851507+1 1.922314-5 2.483526+1 1.922978-5 2.420929+1 1.932445-5 3.321782+1 1.937178-5 4.422719+1 1.942207-5 6.589548+1 1.947064-5 9.680306+1 1.961139-5 2.102297+2 1.966343-5 2.371202+2 1.970661-5 2.449471+2 1.975478-5 2.342284+2 1.980627-5 2.038435+2 1.988660-5 1.366999+2 1.993976-5 9.254608+1 1.998709-5 6.036853+1 2.003442-5 3.668744+1 2.008175-5 2.097586+1 2.015275-5 6.649700+0 2.017642-5 1.766608+0 2.135488-5 1.847804+0 2.146000-5 2.184976+0 2.151256-5 2.461148+0 2.156513-5 2.877836+0 2.161769-5 3.446194+0 2.177538-5 5.563294+0 2.182794-5 6.047205+0 2.188050-5 6.231857+0 2.194442-5 5.981838+0 2.204265-5 5.407523+0 2.206912-5 5.221497+0 2.212330-5 5.050834+0 2.217195-5 5.201250+0 2.221407-5 5.646550+0 2.225655-5 6.340600+0 2.239424-5 9.336301+0 2.245541-5 1.030425+1 2.250429-5 1.066434+1 2.256923-5 1.046208+1 2.264814-5 9.427697+0 2.275619-5 7.749690+0 2.282348-5 7.130983+0 2.290103-5 6.989016+0 2.306125-5 7.353768+0 2.313727-5 7.637067+0 2.326947-5 7.689892+0 2.365882-5 7.246237+0 2.550213-5 6.805154+0 2.729341-5 6.360439+0 2.742777-5 1.625475+1 2.749495-5 2.444238+1 2.756632-5 3.792272+1 2.763770-5 5.644330+1 2.783084-5 1.172210+2 2.790889-5 1.325335+2 2.797465-5 1.363993+2 2.803855-5 1.309569+2 2.810926-5 1.152390+2 2.830110-5 5.488638+1 2.836828-5 3.760814+1 2.843545-5 2.488864+1 2.850263-5 1.644545+1 2.863699-5 6.115457+0 2.998894-5 5.924048+0 3.028393-5 6.172895+0 3.060848-5 7.010965+0 3.089106-5 7.806293+0 3.126591-5 9.666229+0 3.140251-5 9.794322+0 3.170234-5 8.937810+0 3.206764-5 8.880548+0 3.270683-5 9.003998+0 3.345620-5 8.693646+0 4.055387-5 7.625852+0 4.638469-5 7.069082+0 4.750392-5 7.570600+0 4.835673-5 7.007583+0 5.031226-5 6.932106+0 7.629678-5 4.367560+0 8.854673-5 3.334143+0 8.898263-5 4.770576+0 8.920057-5 5.969016+0 8.938783-5 7.537260+0 8.941852-5 9.842096+0 8.982787-5 4.208979+1 9.004788-5 6.943825+1 9.026790-5 1.089715+2 9.053550-5 1.746956+2 9.103950-5 3.165053+2 9.117571-5 3.503211+2 9.140314-5 3.867050+2 9.162796-5 3.941482+2 9.183903-5 3.738982+2 9.206443-5 3.261196+2 9.269258-5 1.456538+2 9.291741-5 9.368647+1 9.312812-5 5.796693+1 9.334813-5 3.322358+1 9.369003-5 9.909723+0 9.378817-5 3.070851+0 9.425938-5 3.314523+0 9.475642-5 3.818497+0 9.510862-5 4.242573+0 9.549926-5 4.566654+0 9.592356-5 4.634975+0 9.616073-5 4.556917+0 9.663410-5 2.482183+1 9.687079-5 4.168980+1 9.712373-5 6.979942+1 9.738882-5 1.106100+2 9.807599-5 2.356934+2 9.835775-5 2.663474+2 9.858615-5 2.722117+2 9.881916-5 2.582623+2 9.907883-5 2.224571+2 9.973935-5 1.019534+2 9.995919-5 6.945178+1 1.001948-4 4.389022+1 1.004211-4 2.739836+1 1.008945-4 6.509818+0 1.017381-4 7.470052+0 1.027675-4 9.014016+0 1.032793-4 9.361738+0 1.045953-4 9.412311+0 1.092239-4 1.179790+1 1.123125-4 1.262449+1 1.154262-4 1.264511+1 1.203553-4 1.161798+1 1.326736-4 8.496257+0 1.422309-4 6.620401+0 1.509050-4 5.282648+0 1.594043-4 4.276994+0 1.681363-4 3.503988+0 1.768072-4 2.927736+0 1.842537-4 2.554813+0 1.885724-4 2.463352+0 1.899547-4 2.565896+0 1.927356-4 3.136173+0 1.937112-4 3.217054+0 2.065380-4 2.856709+0 2.248031-4 2.530691+0 2.356742-4 2.426367+0 2.374700-4 2.548301+0 2.386326-4 2.737163+0 2.409731-4 3.240418+0 2.421678-4 3.286098+0 2.450910-4 2.975335+0 2.484468-4 2.894462+0 2.757273-4 2.765519+0 2.975426-4 2.787902+0 3.045193-4 3.061700+0 3.162278-4 3.035458+0 3.537513-4 3.160982+0 3.564477-4 3.316707+0 3.583298-4 3.588585+0 3.618268-4 4.241551+0 3.635785-4 4.295334+0 3.672924-4 4.076897+0 3.688077-4 4.172846+0 3.727771-4 4.627915+0 3.747768-4 4.547017+0 3.789389-4 4.186932+0 3.815971-4 4.153238+0 3.923000-4 4.487673+0 3.985000-4 4.899013+0 4.045000-4 5.553108+0 4.120975-4 6.799439+0 4.200000-4 8.555572+0 4.328110-4 1.214308+1 4.655631-4 2.238057+1 4.876148-4 2.788061+1 5.098993-4 3.183878+1 5.396718-4 3.510716+1 5.760000-4 3.718049+1 6.352787-4 3.800938+1 6.795962-4 3.760459+1 6.846076-4 3.918881+1 6.899765-4 4.406395+1 6.947474-4 4.874755+1 6.983843-4 4.873625+1 7.065773-4 4.223277+1 7.129901-4 4.037608+1 7.226813-4 4.099753+1 7.293644-4 4.381609+1 7.345890-4 4.655880+1 7.392579-4 4.644063+1 7.489911-4 4.256318+1 7.616556-4 4.185722+1 9.693165-4 3.678468+1 9.917427-4 3.837374+1 1.190899-3 3.302645+1 1.353585-3 2.986413+1 1.759228-3 2.308819+1 2.083291-3 1.908695+1 2.469249-3 1.560725+1 2.919527-3 1.269131+1 3.353576-3 1.064736+1 3.370085-3 1.158433+1 3.378339-3 1.242174+1 3.388960-3 1.427241+1 3.394848-3 1.563998+1 3.415075-3 2.219635+1 3.427866-3 2.648259+1 3.436257-3 2.848527+1 3.444374-3 2.957977+1 3.452629-3 2.980936+1 3.474532-3 2.773803+1 3.494672-3 2.549904+1 3.522111-3 2.415404+1 3.548134-3 2.526564+1 3.566277-3 2.748718+1 3.600550-3 3.446257+1 3.617890-3 3.636628+1 3.637658-3 3.585122+1 3.679748-3 3.286135+1 3.726697-3 3.183116+1 4.071198-3 2.781613+1 4.123683-3 2.838041+1 4.189395-3 3.053215+1 4.915960-3 2.441905+1 5.071418-3 2.467504+1 5.298588-3 2.341333+1 5.451807-3 2.318942+1 6.263784-3 1.899922+1 7.254793-3 1.530778+1 8.204696-3 1.272218+1 9.245651-3 1.061697+1 1.044870-2 8.794629+0 1.180140-2 7.280346+0 1.339249-2 5.969264+0 1.522758-2 4.871167+0 1.634372-2 4.365714+0 1.646453-2 4.476795+0 1.654277-2 4.813976+0 1.660807-2 5.387046+0 1.670730-2 6.758857+0 1.682497-2 8.483182+0 1.692503-2 9.349706+0 1.704101-2 9.646023+0 1.989837-2 7.510429+0 2.012090-2 7.540168+0 2.026536-2 7.987247+0 2.052878-2 9.443473+0 2.070897-2 9.835699+0 2.102339-2 1.014291+1 2.135433-2 1.078290+1 2.569384-2 8.210374+0 2.956457-2 6.587495+0 3.415414-2 5.224967+0 3.813646-2 4.369849+0 4.344623-2 3.526980+0 4.899479-2 2.891680+0 5.559659-2 2.340526+0 6.304679-2 1.895111+0 7.121364-2 1.541348+0 8.083103-2 1.242724+0 9.091542-2 1.016784+0 1.033920-1 8.164375-1 1.104800-1 7.350991-1 1.110775-1 7.605446-1 1.114849-1 8.223791-1 1.117696-1 9.052029-1 1.120453-1 1.026995+0 1.124209-1 1.266451+0 1.128912-1 1.664757+0 1.137076-1 2.381377+0 1.142243-1 2.684876+0 1.148975-1 2.861742+0 1.164071-1 2.876675+0 1.335317-1 2.331548+0 1.525636-1 1.891079+0 1.727631-1 1.555771+0 1.934834-1 1.301396+0 2.175417-1 1.082595+0 2.465580-1 8.897352-1 2.786121-1 7.371139-1 3.152791-1 6.114198-1 3.598467-1 5.029035-1 4.089727-1 4.188613-1 4.677351-1 3.483099-1 5.328203-1 2.934654-1 6.042964-1 2.504095-1 6.878599-1 2.145332-1 7.947571-1 1.820838-1 9.265631-1 1.544962-1 1.120601+0 1.259207-1 1.286622+0 1.075473-1 1.477239+0 9.185479-2 1.696098+0 7.845203-2 1.947381+0 6.700489-2 2.235892+0 5.722804-2 2.567148+0 4.887775-2 2.962437+0 4.151566-2 3.543651+0 3.382854-2 4.068655+0 2.889253-2 4.671441+0 2.467675-2 5.363532+0 2.107610-2 6.158159+0 1.800084-2 7.070513+0 1.537429-2 8.118035+0 1.313099-2 9.320751+0 1.121501-2 9.760024+0 1.064062-2 1.000000+1 2.218718-2 1 91000 7 0 2.330000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-9.056301+1 1.410191-6-8.860922+1 1.438659-6-8.762637+1 1.452256-6-9.077383+1 1.469467-6-8.950112+1 1.501380-6-9.065417+1 1.574884-6-8.922709+1 1.591327-6-9.052097+1 2.224445-6-8.686461+1 2.416006-6-8.205578+1 2.476861-6-7.680607+1 2.503219-6-7.083937+1 2.536204-6-5.296869+1 2.542873-6-5.141774+1 2.549525-6-5.341337+1 2.556543-6-5.922440+1 2.564963-6-7.285442+1 2.573709-6-9.089361+1 2.585923-6-6.920232+1 2.594149-6-6.153292+1 2.601296-6-5.929703+1 2.608971-6-6.139033+1 2.640990-6-7.855693+1 2.670847-6-8.544167+1 2.731196-6-9.090183+1 2.853660-6-8.119813+1 2.891417-6-7.891726+1 2.922212-6-7.122640+1 2.940020-6-6.298158+1 2.947130-6-5.697112+1 2.954384-6-5.035515+1 2.961638-6-4.405468+1 2.969799-6-3.582253+1 2.977053-6-2.954617+1 2.984307-6-2.611636+1 2.987084-6-2.608881+1 2.991561-6-2.767892+1 2.994338-6-2.990704+1 2.997908-6-3.447228+1 3.002867-6-4.337752+1 3.009016-6-5.929601+1 3.012753-6-7.126593+1 3.018959-6-9.082257+1 3.022614-6-7.739596+1 3.029134-6-5.568005+1 3.035481-6-3.829812+1 3.039479-6-3.019111+1 3.042339-6-2.537126+1 3.045116-6-2.191448+1 3.047793-6-1.962462+1 3.051860-6-1.788709+1 3.054920-6-1.765832+1 3.061380-6-2.023908+1 3.069655-6-2.706482+1 3.080195-6-3.757814+1 3.091756-6-4.733371+1 3.096051-6-5.175631+1 3.107610-6-5.831055+1 3.130093-6-6.551721+1 3.173610-6-7.270003+1 3.245879-6-7.835318+1 3.550838-6-8.478503+1 4.320972-6-9.056103+1 4.351974-6-9.161540+1 4.394661-6-9.115817+1 4.407061-6-9.104215+1 4.457294-6-8.212759+1 4.492946-6-8.188657+1 4.588176-6-8.594601+1 4.916830-6-8.912840+1 5.007280-6-8.597461+1 5.186021-6-8.811472+1 1.290508-5-9.015238+1 1.605926-5-8.496768+1 1.740412-5-7.855177+1 1.806910-5-7.115626+1 1.842849-5-6.322903+1 1.859655-5-5.683775+1 1.875275-5-4.660455+1 1.890203-5-3.505552+1 1.895944-5-3.237253+1 1.901685-5-3.156830+1 1.913599-5-3.309738+1 1.918192-5-3.134281+1 1.921206-5-2.776457+1 1.922646-5-2.475284+1 1.923274-5-2.250115+1 1.924922-5-1.844553+1 1.928683-5-1.053760+1 1.930564-5-6.188638+0 1.931504-5-3.691219+0 1.931974-5-2.281281+0 1.932445-5-5.708402-1 1.933036-5 1.553257+0 1.936142-5 1.080724+1 1.936660-5 1.255032+1 1.937474-5 1.601923+1 1.942761-5 3.231308+1 1.947064-5 4.046184+1 1.948539-5 4.134252+1 1.950647-5 3.989313+1 1.952003-5 3.765885+1 1.954294-5 3.174037+1 1.955829-5 2.620904+1 1.957553-5 1.835887+1 1.958376-5 1.391721+1 1.958993-5 1.024054+1 1.959455-5 7.257556+0 1.960150-5 2.329424+0 1.960497-5-4.205103-1 1.960670-5-1.915737+0 1.961139-5-6.437064+0 1.963913-5-3.003447+1 1.965109-5-4.171227+1 1.966343-5-5.622124+1 1.969740-5-9.146146+1 1.970661-5-7.928863+1 1.975043-5-3.173460+1 1.975478-5-2.641450+1 1.976485-5-1.621598+1 1.977308-5-8.677823+0 1.978542-5 2.008516+0 1.979468-5 1.002305+1 1.980072-5 1.585676+1 1.981112-5 2.398104+1 1.981961-5 2.973505+1 1.984510-5 4.448270+1 1.986137-5 5.197903+1 1.988660-5 5.953896+1 1.991313-5 6.308410+1 1.993310-5 6.346652+1 1.997526-5 5.777995+1 2.002924-5 4.304478+1 2.008767-5 2.356649+1 2.011355-5 1.626861+1 2.015275-5 6.097738+0 2.016458-5 2.598007+0 2.017050-5 6.091276-1 2.017346-5-5.133327-1 2.017642-5-1.901285+0 2.017997-5-3.522261+0 2.018620-5-5.694604+0 2.019568-5-8.470761+0 2.020488-5-1.083239+1 2.021732-5-1.367080+1 2.023596-5-1.739831+1 2.025461-5-2.066128+1 2.030435-5-2.781783+1 2.037894-5-3.587733+1 2.047841-5-4.370404+1 2.060274-5-5.077574+1 2.080166-5-5.864228+1 2.120151-5-6.858581+1 2.169653-5-7.750064+1 2.206912-5-7.846106+1 2.234872-5-8.227295+1 2.270078-5-7.806209+1 2.313727-5-8.103928+1 2.558186-5-8.851103+1 2.611332-5-9.095402+1 2.674614-5-8.231677+1 2.704227-5-7.414675+1 2.720988-5-6.563358+1 2.728658-5-5.868727+1 2.733923-5-5.217061+1 2.742777-5-4.297828+1 2.750702-5-3.318689+1 2.757420-5-2.616008+1 2.763770-5-2.259287+1 2.766342-5-2.256679+1 2.770488-5-2.438769+1 2.773060-5-2.693279+1 2.775746-5-3.093664+1 2.780313-5-4.067977+1 2.783084-5-4.871063+1 2.789304-5-7.023158+1 2.794225-5-9.056548+1 2.799686-5-6.660568+1 2.803448-5-5.085443+1 2.805285-5-4.350742+1 2.810926-5-2.413540+1 2.813174-5-1.808719+1 2.815700-5-1.266494+1 2.816905-5-1.046402+1 2.818712-5-7.569176+0 2.820520-5-5.107158+0 2.821719-5-3.716554+0 2.823817-5-1.806988+0 2.825390-5-7.937569-1 2.826570-5-2.804797-1 2.828340-5 4.177726-2 2.829225-5-4.953591-2 2.833469-5-2.065914+0 2.835148-5-3.069260+0 2.835988-5-3.746438+0 2.837667-5-5.737073+0 2.842076-5-9.990039+0 2.842811-5-1.084541+1 2.843545-5-1.191843+1 2.852573-5-2.281710+1 2.862020-5-3.227213+1 2.865358-5-3.700207+1 2.870240-5-4.149316+1 2.880607-5-4.778477+1 2.900000-5-5.497543+1 2.927513-5-6.099026+1 2.980753-5-6.745943+1 3.065169-5-7.350824+1 3.126591-5-7.473321+1 3.180130-5-7.427149+1 4.055387-5-7.723156+1 6.136282-5-8.127491+1 6.719270-5-8.403030+1 7.549371-5-7.661667+1 8.018641-5-6.836143+1 8.294968-5-5.964667+1 8.471898-5-5.060190+1 8.585191-5-4.194789+1 8.653460-5-3.486649+1 8.700620-5-2.868818+1 8.751469-5-2.030283+1 8.775658-5-1.544252+1 8.795412-5-1.091688+1 8.810227-5-7.118794+0 8.821339-5-3.997361+0 8.829672-5-1.477096+0 8.842173-5 2.647309+0 8.848423-5 4.900057+0 8.854673-5 7.354522+0 8.865571-5 1.185977+1 8.876468-5 1.663296+1 8.892814-5 2.474686+1 8.909160-5 3.457161+1 8.924739-5 4.622282+1 8.936150-5 5.749310+1 8.941852-5 6.571517+1 8.982787-5 1.053347+2 9.007538-5 1.317778+2 9.035052-5 1.538811+2 9.053550-5 1.585798+2 9.067038-5 1.537515+2 9.082865-5 1.382284+2 9.094415-5 1.193765+2 9.109313-5 8.681460+1 9.115347-5 6.998747+1 9.117571-5 6.221605+1 9.130342-5 2.294414+1 9.133694-5 1.170694+1 9.135849-5 3.894924+0 9.136926-5-3.273925-1 9.137465-5-2.590988+0 9.138345-5-6.830610+0 9.139015-5-9.720076+0 9.140314-5-1.488421+1 9.142750-5-2.395967+1 9.156127-5-7.221657+1 9.159416-5-8.593925+1 9.163384-5-6.857300+1 9.169340-5-4.685846+1 9.178530-5-1.464172+1 9.180062-5-8.898128+0 9.180827-5-5.852327+0 9.181210-5-4.236311+0 9.181934-5-8.054065-1 9.182604-5 1.970630+0 9.183903-5 6.880135+0 9.186339-5 1.531286+1 9.188470-5 2.220830+1 9.206443-5 7.552152+1 9.216176-5 9.715965+1 9.228127-5 1.165865+2 9.241704-5 1.314146+2 9.256258-5 1.394106+2 9.266715-5 1.393370+2 9.288930-5 1.258022+2 9.312812-5 9.977597+1 9.343193-5 6.397088+1 9.369003-5 3.869267+1 9.376363-5 3.013623+1 9.380231-5 2.394628+1 9.382883-5 2.047922+1 9.387523-5 1.535181+1 9.391003-5 1.193493+1 9.396224-5 7.257866+0 9.401444-5 2.975084+0 9.407567-5-1.659932+0 9.416753-5-8.000918+0 9.425938-5-1.378934+1 9.441008-5-2.238417+1 9.462594-5-3.331565+1 9.510862-5-5.462550+1 9.578163-5-8.425489+1 9.584707-5-8.763815+1 9.610788-5-7.164482+1 9.624377-5-5.950868+1 9.661593-5-3.384106+1 9.687079-5-1.355977+1 9.688558-5-1.208401+1 9.691332-5-9.857655+0 9.696186-5-6.478721+0 9.703467-5-1.877946+0 9.707107-5 4.547203-1 9.708927-5 1.725345+0 9.712373-5 4.688394+0 9.715422-5 6.564301+0 9.718089-5 7.887276+0 9.722757-5 9.757510+0 9.738882-5 1.460987+1 9.742992-5 1.503309+1 9.746845-5 1.487725+1 9.750457-5 1.434763+1 9.757018-5 1.254455+1 9.759994-5 1.138910+1 9.765575-5 8.670006+0 9.770458-5 5.699290+0 9.774731-5 2.636879+0 9.778470-5-4.103114-1 9.781741-5-3.371279+0 9.784603-5-6.200218+0 9.789299-5-1.136027+1 9.793135-5-1.610805+1 9.798168-5-2.322221+1 9.803427-5-3.227632+1 9.807599-5-4.119915+1 9.825204-5-7.455258+1 9.832009-5-8.979653+1 9.838238-5-7.381549+1 9.852346-5-4.144775+1 9.855646-5-3.264158+1 9.857210-5-2.769390+1 9.858615-5-2.392792+1 9.879681-5 2.510012+1 9.881916-5 3.092189+1 9.884679-5 3.705298+1 9.889516-5 4.675099+1 9.907883-5 8.049649+1 9.920480-5 9.707383+1 9.938856-5 1.125803+2 9.958248-5 1.199059+2 9.973935-5 1.191096+2 9.995919-5 1.097373+2 1.001948-4 9.417242+1 1.004712-4 7.347698+1 1.008582-4 4.903993+1 1.009199-4 4.318527+1 1.009961-4 3.786051+1 1.011507-4 2.974124+1 1.012434-4 2.574686+1 1.013671-4 2.108456+1 1.014914-4 1.697971+1 1.016145-4 1.336453+1 1.017381-4 1.010029+1 1.019309-4 5.623355+0 1.021237-4 1.754804+0 1.023138-4-1.579998+0 1.025039-4-4.494678+0 1.027675-4-7.979459+0 1.030216-4-1.086548+1 1.035700-4-1.605393+1 1.042737-4-2.159169+1 1.049790-4-2.620878+1 1.059473-4-3.107598+1 1.074375-4-3.627237+1 1.092239-4-4.034470+1 1.123125-4-4.424243+1 1.181381-4-4.733011+1 1.422309-4-5.315143+1 1.937112-4-6.088324+1 2.428554-4-6.375246+1 3.457814-4-7.070755+1 3.727771-4-7.349049+1 4.103743-4-8.051815+1 4.435000-4-8.535315+1 4.786301-4-8.337451+1 5.922061-4-6.680149+1 6.486747-4-6.188389+1 6.746605-4-6.204480+1 6.891208-4-6.617786+1 6.927274-4-6.425649+1 7.004897-4-5.464679+1 7.044976-4-5.311727+1 7.281320-4-5.792296+1 7.345890-4-5.542604+1 7.419982-4-5.044792+1 7.489911-4-4.991086+1 7.616556-4-5.009056+1 8.925344-4-4.198518+1 9.610974-4-3.978025+1 9.837590-4-3.991330+1 1.022557-3-3.686852+1 1.122826-3-3.264545+1 1.309241-3-2.819717+1 1.382400-3-2.706630+1 1.511904-3-2.493611+1 1.759228-3-2.277526+1 2.083291-3-2.172806+1 2.469249-3-2.203169+1 2.829416-3-2.373662+1 3.070277-3-2.613753+1 3.237302-3-2.924937+1 3.328865-3-3.243237+1 3.378339-3-3.579007+1 3.427866-3-4.155612+1 3.452629-3-4.219661+1 3.522111-3-3.666405+1 3.556894-3-3.624573+1 3.609220-3-3.740570+1 3.637658-3-3.575859+1 3.695042-3-3.024437+1 3.749999-3-2.722927+1 3.847877-3-2.409841+1 3.974522-3-2.182604+1 4.071198-3-2.126134+1 4.151768-3-2.207121+1 4.189395-3-2.115664+1 4.249771-3-1.881924+1 4.338969-3-1.681212+1 4.494148-3-1.465825+1 4.704044-3-1.283670+1 4.881583-3-1.206351+1 4.995739-3-1.218837+1 5.139220-3-1.079356+1 5.259645-3-1.027490+1 5.348251-3-1.004249+1 5.495409-3-8.790057+0 5.720620-3-7.663733+0 5.999195-3-6.714388+0 6.423146-3-5.732829+0 6.928380-3-4.986397+0 7.435414-3-4.527473+0 8.204696-3-4.191754+0 9.245651-3-4.078936+0 1.044870-2-4.253038+0 1.180140-2-4.656799+0 1.339249-2-5.393717+0 1.462093-2-6.251178+0 1.545235-2-7.167814+0 1.595976-2-8.083588+0 1.627698-2-9.076813+0 1.646453-2-1.021555+1 1.666215-2-1.197753+1 1.676472-2-1.220297+1 1.687784-2-1.146962+1 1.708206-2-9.604349+0 1.729403-2-8.531576+0 1.763149-2-7.621609+0 1.813728-2-6.901128+0 1.874522-2-6.523941+0 1.936564-2-6.522466+0 1.979984-2-6.854830+0 2.006268-2-7.425601+0 2.031890-2-8.343716+0 2.047131-2-8.372531+0 2.077692-2-7.442434+0 2.114745-2-6.969309+0 2.161868-2-5.525999+0 2.202956-2-4.783606+0 2.267090-2-4.022073+0 2.362352-2-3.260869+0 2.452941-2-2.744090+0 2.569384-2-2.273415+0 2.699293-2-1.907237+0 2.859236-2-1.586851+0 3.021929-2-1.366696+0 3.246796-2-1.170669+0 3.511277-2-1.053346+0 3.813646-2-1.000400+0 4.221881-2-9.994429-1 4.899479-2-1.094647+0 7.420287-2-1.634131+0 9.091542-2-2.062067+0 9.973038-2-2.397938+0 1.049388-1-2.719274+0 1.082302-1-3.067170+0 1.100945-1-3.421173+0 1.112285-1-3.831854+0 1.125449-1-4.505635+0 1.132398-1-4.580253+0 1.139340-1-4.314649+0 1.153703-1-3.526611+0 1.164071-1-3.179053+0 1.182298-1-2.809277+0 1.209201-1-2.466451+0 1.252861-1-2.123034+0 1.313388-1-1.821542+0 1.386980-1-1.592619+0 1.494979-1-1.390605+0 1.636129-1-1.241411+0 1.778279-1-1.158668+0 2.009671-1-1.095452+0 2.465580-1-1.072382+0 5.328203-1-1.195473+0 9.773020-1-1.251182+0 2.962437+0-1.275281+0 8.901248+0-1.281651+0 1.000000+1-1.278325+0 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.143372-1 1.053568-6 1.506272-1 1.084234-6 1.765462-1 1.108409-6 2.005009-1 1.126281-6 2.204692-1 1.143037-6 2.413231-1 1.158745-6 2.630617-1 1.173472-6 2.856856-1 1.187278-6 3.091952-1 1.200221-6 3.335764-1 1.212355-6 3.588248-1 1.223731-6 3.849795-1 1.234396-6 4.120802-1 1.244394-6 4.401565-1 1.253768-6 4.692434-1 1.262555-6 4.994065-1 1.270794-6 5.307434-1 1.278517-6 5.632880-1 1.292999-6 6.342175-1 1.305670-6 7.101907-1 1.316758-6 7.918565-1 1.326459-6 8.797594-1 1.334948-6 9.744019-1 1.342375-6 1.076231+0 1.350000-6 1.207292+0 1.354562-6 1.304042+0 1.359538-6 1.432272+0 1.363892-6 1.572176+0 1.367701-6 1.725323+0 1.371035-6 1.892478+0 1.373952-6 2.073041+0 1.376504-6 2.264897+0 1.378737-6 2.464719+0 1.380691-6 2.668502+0 1.382401-6 2.872134+0 1.383897-6 3.071841+0 1.386515-6 3.474896+0 1.389951-6 4.118679+0 1.396675-6 5.786151+0 1.399517-6 6.642891+0 1.401233-6 7.193999+0 1.404666-6 8.343086+0 1.405095-6 8.488659+0 1.408098-6 9.497203+0 1.409277-6 9.880244+0 1.411530-6 1.057187+1 1.412709-6 1.090600+1 1.413836-6 1.120224+1 1.414962-6 1.147296+1 1.416463-6 1.178883+1 1.417911-6 1.203879+1 1.419252-6 1.221765+1 1.420378-6 1.232608+1 1.421826-6 1.240655+1 1.423756-6 1.240680+1 1.425365-6 1.231193+1 1.425963-6 1.225476+1 1.427326-6 1.208049+1 1.428849-6 1.181615+1 1.430470-6 1.145857+1 1.432145-6 1.101367+1 1.433740-6 1.052741+1 1.435661-6 9.873131+0 1.437308-6 9.265544+0 1.438986-6 8.614579+0 1.440447-6 8.030973+0 1.442049-6 7.383465+0 1.443276-6 6.887395+0 1.444402-6 6.436480+0 1.445850-6 5.867474+0 1.447566-6 5.215840+0 1.449068-6 4.671768+0 1.450301-6 4.246286+0 1.451508-6 3.850705+0 1.452714-6 3.476899+0 1.456147-6 2.539570+0 1.457467-6 2.229525+0 1.458523-6 2.001642+0 1.459579-6 1.791142+0 1.461080-6 1.520727+0 1.462603-6 1.279509+0 1.464026-6 1.082523+0 1.465258-6 9.323888-1 1.467074-6 7.429666-1 1.468848-6 5.909128-1 1.471149-6 4.356895-1 1.474326-6 2.854112-1 1.475398-6 2.484261-1 1.476456-6 2.176517-1 1.477497-6 1.923286-1 1.478011-6 1.814776-1 1.478522-6 1.717211-1 1.479535-6 1.551288-1 1.480532-6 1.420761-1 1.481513-6 1.320718-1 1.482480-6 1.246906-1 1.483431-6 1.195652-1 1.484367-6 1.163788-1 1.486210-6 1.147788-1 1.487996-6 1.181943-1 1.489726-6 1.253035-1 1.491402-6 1.351349-1 1.494649-6 1.607523-1 1.497693-6 1.909558-1 1.520523-6 5.799287-1 1.523376-6 6.624492-1 1.525873-6 7.464140-1 1.528058-6 8.306048-1 1.531643-6 9.944131-1 1.538412-6 1.410124+0 1.543352-6 1.814251+0 1.545905-6 2.056441+0 1.547151-6 2.182231+0 1.549050-6 2.382211+0 1.550950-6 2.590490+0 1.554749-6 3.021653+0 1.555223-6 3.075963+0 1.558547-6 3.450053+0 1.559853-6 3.590981+0 1.562346-6 3.843346+0 1.563652-6 3.964013+0 1.564898-6 4.070056+0 1.566145-6 4.165931+0 1.567807-6 4.275957+0 1.569410-6 4.360646+0 1.570893-6 4.418610+0 1.572140-6 4.451145+0 1.573742-6 4.470332+0 1.575879-6 4.455091+0 1.577660-6 4.406419+0 1.578120-6 4.388579+0 1.580132-6 4.285768+0 1.581743-6 4.175678+0 1.582701-6 4.099126+0 1.584625-6 3.922746+0 1.586295-6 3.747598+0 1.589114-6 3.414517+0 1.590603-6 3.224127+0 1.591537-6 3.101267+0 1.592974-6 2.908286+0 1.594490-6 2.701884+0 1.595960-6 2.501386+0 1.597485-6 2.295249+0 1.599132-6 2.077207+0 1.600334-6 1.922508+0 1.602233-6 1.687866+0 1.603955-6 1.487591+0 1.604815-6 1.392396+0 1.606373-6 1.229069+0 1.607931-6 1.077893+0 1.609393-6 9.474694-1 1.611146-6 8.057554-1 1.612510-6 7.064608-1 1.613265-6 6.555929-1 1.614397-6 5.845868-1 1.615529-6 5.197560-1 1.617191-6 4.352674-1 1.619396-6 3.414537-1 1.624136-6 2.004545-1 1.625817-6 1.669584-1 1.626855-6 1.498500-1 1.627829-6 1.360336-1 1.628758-6 1.247159-1 1.629629-6 1.156184-1 1.630445-6 1.083154-1 1.631210-6 1.024651-1 1.632645-6 9.384991-2 1.633900-6 8.855173-2 1.634998-6 8.541609-2 1.636921-6 8.281247-2 1.638362-6 8.289415-2 1.640525-6 8.564686-2 1.642687-6 9.089366-2 1.644709-6 9.751723-2 1.646731-6 1.054001-1 1.650774-6 1.237796-1 1.654817-6 1.443044-1 1.658860-6 1.659546-1 1.662904-6 1.881449-1 1.666947-6 2.105471-1 1.670990-6 2.329820-1 1.675033-6 2.553554-1 1.679077-6 2.776219-1 1.683120-6 2.997641-1 1.687163-6 3.217807-1 1.691207-6 3.436800-1 1.695250-6 3.654756-1 1.699293-6 3.871843-1 1.703336-6 4.088246-1 1.707380-6 4.304158-1 1.711423-6 4.519775-1 1.719509-6 4.950898-1 1.723553-6 5.166784-1 1.740757-6 6.092899-1 1.756886-6 6.981518-1 1.787128-6 8.739086-1 1.840051-6 1.218502+0 1.879744-6 1.523316+0 1.909513-6 1.790736+0 1.931840-6 2.022144+0 1.948586-6 2.221070+0 1.961145-6 2.392436+0 1.970564-6 2.540312+0 1.984693-6 2.808860+0 2.003741-6 3.261472+0 2.008661-6 3.378260+0 2.013581-6 3.482583+0 2.018501-6 3.566111+0 2.023421-6 3.620952+0 2.025881-6 3.635638+0 2.028341-6 3.641159+0 2.030801-6 3.637317+0 2.033260-6 3.624198+0 2.035720-6 3.602192+0 2.038180-6 3.571993+0 2.043100-6 3.491230+0 2.048020-6 3.392713+0 2.054170-6 3.265145+0 2.057860-6 3.196715+0 2.060320-6 3.157780+0 2.062780-6 3.125721+0 2.065239-6 3.101575+0 2.067699-6 3.086107+0 2.070159-6 3.079800+0 2.072619-6 3.082861+0 2.075079-6 3.095234+0 2.077539-6 3.116628+0 2.082459-6 3.184365+0 2.087379-6 3.280483+0 2.092299-6 3.398163+0 2.108252-6 3.852097+0 2.118605-6 4.157384+0 2.128958-6 4.455711+0 2.144487-6 4.898334+0 2.175546-6 5.836209+0 2.206605-6 6.924810+0 2.230041-6 7.884931+0 2.252013-6 8.920553+0 2.272611-6 1.004072+1 2.291922-6 1.125250+1 2.310026-6 1.256198+1 2.326999-6 1.397523+1 2.342911-6 1.549876+1 2.357828-6 1.713910+1 2.371813-6 1.890134+1 2.387734-6 2.122907+1 2.397215-6 2.281160+1 2.408739-6 2.497425+1 2.419542-6 2.728580+1 2.429669-6 2.975345+1 2.439164-6 3.238430+1 2.448066-6 3.518570+1 2.456411-6 3.816537+1 2.464234-6 4.133151+1 2.471569-6 4.469279+1 2.478445-6 4.825848+1 2.484892-6 5.203850+1 2.490935-6 5.604360+1 2.496601-6 6.028577+1 2.501912-6 6.477884+1 2.506892-6 6.953917+1 2.511561-6 7.458618+1 2.515937-6 7.994242+1 2.524144-6 9.211507+1 2.531324-6 1.059395+2 2.537607-6 1.215699+2 2.543105-6 1.390175+2 2.547915-6 1.581161+2 2.552124-6 1.785397+2 2.555807-6 1.998561+2 2.560000-6 2.287614+2 2.564317-6 2.645330+2 2.568364-6 3.044476+2 2.582729-6 5.058822+2 2.587942-6 6.043219+2 2.591119-6 6.708131+2 2.594296-6 7.418065+2 2.600650-6 8.949169+2 2.601445-6 9.148555+2 2.607005-6 1.056994+3 2.609189-6 1.113135+3 2.613359-6 1.218522+3 2.616586-6 1.296660+3 2.619713-6 1.367848+3 2.622940-6 1.434995+3 2.626067-6 1.492479+3 2.628847-6 1.536198+3 2.632086-6 1.577219+3 2.635797-6 1.609756+3 2.638974-6 1.624476+3 2.640080-6 1.626659+3 2.643236-6 1.624426+3 2.645566-6 1.614752+3 2.651779-6 1.556790+3 2.654780-6 1.513210+3 2.658013-6 1.456254+3 2.660817-6 1.399453+3 2.662738-6 1.357131+3 2.665482-6 1.292573+3 2.667247-6 1.248958+3 2.669997-6 1.178412+3 2.673018-6 1.098443+3 2.676173-6 1.013492+3 2.680078-6 9.084118+2 2.683255-6 8.245136+2 2.686830-6 7.333080+2 2.689610-6 6.654949+2 2.695964-6 5.233415+2 2.699047-6 4.616247+2 2.703978-6 3.734406+2 2.707792-6 3.140973+2 2.711447-6 2.642878+2 2.715622-6 2.153288+2 2.719297-6 1.787097+2 2.723895-6 1.405274+2 2.728036-6 1.125177+2 2.731130-6 9.500872+1 2.736026-6 7.238223+1 2.741432-6 5.334897+1 2.748131-6 3.638347+1 2.757359-6 2.134717+1 2.763730-6 1.471351+1 2.770369-6 9.935741+0 2.778198-6 6.211366+0 2.782626-6 4.757769+0 2.785473-6 4.015932+0 2.788320-6 3.402552+0 2.791875-6 2.793808+0 2.793584-6 2.556355+0 2.794866-6 2.399801+0 2.798713-6 2.031435+0 2.799916-6 1.944967+0 2.801053-6 1.874980+0 2.802599-6 1.797202+0 2.805551-6 1.700950+0 2.806406-6 1.685146+0 2.807902-6 1.669821+0 2.810145-6 1.674942+0 2.812389-6 1.711918+0 2.813776-6 1.749872+0 2.816202-6 1.842677+0 2.818022-6 1.933382+0 2.820752-6 2.101744+0 2.823482-6 2.307212+0 2.826149-6 2.542296+0 2.837480-6 3.903583+0 2.840812-6 4.414771+0 2.846580-6 5.424168+0 2.853418-6 6.841079+0 2.856837-6 7.647583+0 2.860256-6 8.525290+0 2.863675-6 9.479120+0 2.867095-6 1.051434+1 2.873933-6 1.285141+1 2.880771-6 1.558374+1 2.887609-6 1.876232+1 2.894447-6 2.244315+1 2.901285-6 2.669029+1 2.908289-6 3.170738+1 2.914962-6 3.720881+1 2.929747-6 5.253254+1 2.942741-6 7.089216+1 2.948636-6 8.134820+1 2.954162-6 9.275425+1 2.959343-6 1.052003+2 2.964200-6 1.187863+2 2.968754-6 1.336180+2 2.973023-6 1.498002+2 2.977025-6 1.674291+2 2.980777-6 1.865837+2 2.984294-6 2.073185+2 2.987592-6 2.296575+2 2.990684-6 2.535908+2 2.996480-6 3.079387+2 3.001552-6 3.680461+2 3.005990-6 4.326170+2 3.009874-6 5.000989+2 3.016245-6 6.374825+2 3.030194-6 1.088408+3 3.036695-6 1.386052+3 3.040353-6 1.581413+3 3.044894-6 1.852879+3 3.048451-6 2.087901+3 3.052007-6 2.342059+3 3.059973-6 2.974187+3 3.060891-6 3.051962+3 3.067323-6 3.617061+3 3.069893-6 3.849949+3 3.074799-6 4.297861+3 3.078595-6 4.640821+3 3.082275-6 4.963661+3 3.086072-6 5.280441+3 3.089751-6 5.565448+3 3.093022-6 5.795758+3 3.096045-6 5.985790+3 3.097695-6 6.079233+3 3.102075-6 6.288407+3 3.105496-6 6.409233+3 3.109481-6 6.499600+3 3.112734-6 6.531665+3 3.119890-6 6.469035+3 3.123234-6 6.378711+3 3.127600-6 6.206292+3 3.130584-6 6.055797+3 3.132596-6 5.940723+3 3.135543-6 5.754365+3 3.138405-6 5.555385+3 3.142085-6 5.277777+3 3.145356-6 5.014752+3 3.148510-6 4.750590+3 3.153299-6 4.337733+3 3.157037-6 4.012312+3 3.161031-6 3.667809+3 3.164137-6 3.405533+3 3.172273-6 2.758143+3 3.175680-6 2.509094+3 3.182185-6 2.076338+3 3.187599-6 1.761322+3 3.194907-6 1.401519+3 3.205682-6 9.973659+2 3.209598-6 8.832159+2 3.213515-6 7.840838+2 3.217431-6 6.983853+2 3.221347-6 6.245734+2 3.225264-6 5.611758+2 3.229180-6 5.068208+2 3.233096-6 4.602536+2 3.237012-6 4.203448+2 3.240929-6 3.860925+2 3.244845-6 3.566187+2 3.249372-6 3.275102+2 3.253899-6 3.027788+2 3.261297-6 2.696955+2 3.269325-6 2.413632+2 3.277927-6 2.170186+2 3.293945-6 1.819875+2 3.307505-6 1.587310+2 3.323457-6 1.362732+2 3.338835-6 1.185683+2 3.352330-6 1.056925+2 3.360383-6 9.900330+1 3.376489-6 8.740651+1 3.408702-6 6.913289+1 3.481029-6 4.161821+1 3.507176-6 3.471593+1 3.515866-6 3.277906+1 3.524314-6 3.108675+1 3.532883-6 2.956351+1 3.545401-6 2.765736+1 3.567160-6 2.491603+1 3.575729-6 2.387104+1 3.584298-6 2.275756+1 3.590725-6 2.185043+1 3.595545-6 2.112144+1 3.602776-6 1.994631+1 3.610006-6 1.868125+1 3.618575-6 1.710138+1 3.627144-6 1.550862+1 3.638792-6 1.353777+1 3.643076-6 1.293755+1 3.644283-6 1.278600+1 3.648567-6 1.232128+1 3.652852-6 1.198984+1 3.658061-6 1.180144+1 3.659798-6 1.179776+1 3.668762-6 1.231838+1 3.670478-6 1.253016+1 3.678314-6 1.399497+1 3.681666-6 1.487824+1 3.687685-6 1.685072+1 3.693854-6 1.936332+1 3.702865-6 2.379864+1 3.708198-6 2.674447+1 3.713014-6 2.952819+1 3.714239-6 3.024612+1 3.719166-6 3.313935+1 3.723630-6 3.571920+1 3.726564-6 3.736254+1 3.730685-6 3.956544+1 3.733876-6 4.116217+1 3.742028-6 4.467542+1 3.745249-6 4.579859+1 3.751397-6 4.746831+1 3.756061-6 4.829570+1 3.758723-6 4.859420+1 3.761051-6 4.875216+1 3.765127-6 4.880079+1 3.768183-6 4.865295+1 3.770475-6 4.844298+1 3.775633-6 4.768061+1 3.777352-6 4.734371+1 3.783309-6 4.589605+1 3.785294-6 4.532790+1 3.792017-6 4.315217+1 3.794258-6 4.235766+1 3.803222-6 3.897013+1 3.823087-6 3.141077+1 3.835461-6 2.739793+1 3.839633-6 2.622220+1 3.845891-6 2.463254+1 3.852149-6 2.324487+1 3.858949-6 2.194780+1 3.865749-6 2.084330+1 3.875265-6 1.956000+1 3.884780-6 1.850118+1 3.908394-6 1.634885+1 3.919275-6 1.541259+1 3.930157-6 1.444830+1 3.947156-6 1.285183+1 3.968786-6 1.068693+1 3.975394-6 1.001804+1 3.997672-6 7.934336+0 4.001496-6 7.635977+0 4.006665-6 7.279498+0 4.009525-6 7.109685+0 4.028278-6 6.665435+0 4.038185-6 7.049335+0 4.039447-6 7.135090+0 4.048287-6 7.984125+0 4.052418-6 8.532700+0 4.056021-6 9.089375+0 4.061540-6 1.007816+1 4.075917-6 1.331353+1 4.082235-6 1.494874+1 4.087221-6 1.628200+1 4.092688-6 1.774982+1 4.097512-6 1.901864+1 4.101658-6 2.006737+1 4.106335-6 2.118176+1 4.108699-6 2.171048+1 4.118139-6 2.353079+1 4.121860-6 2.410017+1 4.128963-6 2.492490+1 4.133862-6 2.528390+1 4.139104-6 2.547611+1 4.143385-6 2.548890+1 4.146596-6 2.541671+1 4.149506-6 2.529352+1 4.154423-6 2.496853+1 4.156229-6 2.481476+1 4.164077-6 2.395822+1 4.166693-6 2.361321+1 4.176276-6 2.215690+1 4.186040-6 2.046693+1 4.194529-6 1.892622+1 4.203502-6 1.730190+1 4.211646-6 1.587665+1 4.227600-6 1.331094+1 4.236775-6 1.199120+1 4.246832-6 1.067314+1 4.256889-6 9.479240+0 4.269138-6 8.177131+0 4.300508-6 5.556999+0 4.313264-6 4.803113+0 4.324389-6 4.305601+0 4.329659-6 4.122264+0 4.334929-6 3.971666+0 4.338038-6 3.897678+0 4.342701-6 3.806484+0 4.347364-6 3.737872+0 4.350239-6 3.706223+0 4.355269-6 3.669249+0 4.359042-6 3.656121+0 4.364701-6 3.658805+0 4.370360-6 3.688027+0 4.376527-6 3.751856+0 4.381156-6 3.824790+0 4.386946-6 3.953054+0 4.390213-6 4.047659+0 4.399573-6 4.438589+0 4.403251-6 4.655401+0 4.406761-6 4.905110+0 4.410271-6 5.203611+0 4.413948-6 5.576946+0 4.417019-6 5.943023+0 4.420968-6 6.496210+0 4.423312-6 6.873380+0 4.425784-6 7.314135+0 4.430637-6 8.320566+0 4.435788-6 9.616151+0 4.443255-6 1.196670+1 4.455630-6 1.725982+1 4.462497-6 2.100655+1 4.468409-6 2.469390+1 4.473070-6 2.788767+1 4.478334-6 3.176951+1 4.483098-6 3.550246+1 4.488006-6 3.952208+1 4.492697-6 4.348297+1 4.497124-6 4.728050+1 4.502000-6 5.147399+1 4.506625-6 5.540146+1 4.510542-6 5.864532+1 4.515715-6 6.274941+1 4.519819-6 6.581135+1 4.525388-6 6.961735+1 4.530104-6 7.246914+1 4.530850-6 7.288578+1 4.542043-6 7.786841+1 4.546519-6 7.914597+1 4.553887-6 8.031319+1 4.559263-6 8.043039+1 4.562241-6 8.023537+1 4.567716-6 7.941471+1 4.571711-6 7.845925+1 4.575613-6 7.725795+1 4.578164-6 7.634015+1 4.583760-6 7.399765+1 4.585078-6 7.338629+1 4.593149-6 6.923357+1 4.595839-6 6.771976+1 4.600781-6 6.481548+1 4.606400-6 6.137750+1 4.616935-6 5.478588+1 4.620246-6 5.272997+1 4.633929-6 4.462523+1 4.656797-6 3.346982+1 4.663074-6 3.103485+1 4.671073-6 2.831796+1 4.678731-6 2.609759+1 4.685984-6 2.430566+1 4.692858-6 2.285494+1 4.700023-6 2.156544+1 4.710399-6 2.003261+1 4.716243-6 1.931080+1 4.728030-6 1.808957+1 4.740000-6 1.707835+1 4.752628-6 1.616504+1 4.784566-6 1.414540+1 4.794808-6 1.352530+1 4.805868-6 1.285976+1 4.816885-6 1.220096+1 4.839929-6 1.084320+1 4.872375-6 8.998231+0 4.900000-6 7.549858+0 4.914643-6 6.900154+0 4.923034-6 6.596802+0 4.926651-6 6.486810+0 4.933742-6 6.315191+0 4.940186-6 6.218196+0 4.958030-6 6.321362+0 4.970174-6 6.774287+0 4.971692-6 6.855461+0 4.977004-6 7.184293+0 4.983835-6 7.710308+0 4.987019-6 7.994951+0 4.994461-6 8.755327+0 5.008073-6 1.045584+1 5.017674-6 1.184183+1 5.024680-6 1.291186+1 5.032213-6 1.408185+1 5.038880-6 1.510440+1 5.044554-6 1.594390+1 5.053852-6 1.721356+1 5.056698-6 1.756730+1 5.067324-6 1.870325+1 5.071498-6 1.905884+1 5.079468-6 1.957899+1 5.086014-6 1.984258+1 5.089749-6 1.992549+1 5.093018-6 1.995791+1 5.098738-6 1.992619+1 5.103028-6 1.983085+1 5.109464-6 1.957950+1 5.115899-6 1.920891+1 5.125007-6 1.850899+1 5.128043-6 1.823697+1 5.140186-6 1.700393+1 5.152330-6 1.562684+1 5.174607-6 1.308095+1 5.190967-6 1.144799+1 5.207139-6 1.018617+1 5.219893-6 9.488019+0 5.226269-6 9.242791+0 5.232646-6 9.066769+0 5.236228-6 8.997711+0 5.241600-6 8.933110+0 5.246972-6 8.913385+0 5.250482-6 8.923459+0 5.256625-6 8.981632+0 5.261232-6 9.056236+0 5.268142-6 9.211363+0 5.275053-6 9.409122+0 5.296416-6 1.016578+1 5.309170-6 1.061529+1 5.312358-6 1.071694+1 5.321924-6 1.098247+1 5.325112-6 1.105566+1 5.334678-6 1.122285+1 5.343446-6 1.130354+1 5.351816-6 1.131668+1 5.360186-6 1.127303+1 5.372940-6 1.111875+1 5.385942-6 1.089189+1 5.412133-6 1.040802+1 5.425229-6 1.022220+1 5.436216-6 1.011108+1 5.447204-6 1.003968+1 5.455203-6 1.000897+1 5.468722-6 9.986482+0 5.510196-6 9.982983+0 5.533340-6 9.950618+0 5.607391-6 9.743046+0 5.664422-6 9.534881+0 5.722781-6 9.287625+0 5.755080-6 9.204971+0 5.787990-6 9.181055+0 5.829204-6 9.179679+0 5.849378-6 9.164954+0 5.876328-6 9.120998+0 6.007330-6 8.776399+0 6.291317-6 8.133281+0 6.363208-6 7.952517+0 6.394532-6 7.898244+0 6.425857-6 7.886819+0 6.441519-6 7.901655+0 6.469926-6 7.961641+0 6.519830-6 8.110787+0 6.535492-6 8.146515+0 6.554567-6 8.171073+0 6.578090-6 8.167143+0 6.598141-6 8.134623+0 6.629466-6 8.043643+0 6.720310-6 7.724738+0 6.913669-6 7.280183+0 6.964720-6 7.200186+0 7.000000-6 7.168730+0 7.100857-6 7.144988+0 7.143189-6 7.102575+0 7.202960-6 6.984656+0 7.263604-6 6.850973+0 7.316314-6 6.766467+0 7.387843-6 6.725310+0 7.426466-6 6.742682+0 7.512036-6 6.812884+0 7.533124-6 6.814709+0 7.558953-6 6.801020+0 7.601406-6 6.743510+0 7.881733-6 6.200025+0 7.933422-6 6.126807+0 7.984690-6 6.082667+0 8.106210-6 6.028774+0 8.164350-6 5.972582+0 8.261250-6 5.850589+0 8.462897-6 5.649985+0 8.733568-6 5.374019+0 9.362857-6 4.721803+0 9.826567-6 4.257305+0 1.025145-5 3.828970+0 1.055728-5 3.524712+0 1.085000-5 3.240314+0 1.108443-5 3.017698+0 1.137801-5 2.747482+0 1.166502-5 2.501579+0 1.218376-5 2.117917+0 1.230188-5 2.046200+0 1.244348-5 1.969530+0 1.256791-5 1.911606+0 1.266531-5 1.874201+0 1.277702-5 1.845906+0 1.284905-5 1.840992+0 1.294572-5 1.853486+0 1.305749-5 1.889444+0 1.312928-5 1.921139+0 1.325201-5 1.988495+0 1.339473-5 2.087890+0 1.351725-5 2.192885+0 1.366875-5 2.349793+0 1.375119-5 2.449017+0 1.384075-5 2.569366+0 1.402413-5 2.859308+0 1.420761-5 3.213884+0 1.436995-5 3.588533+0 1.452305-5 4.001186+0 1.467241-5 4.468145+0 1.486956-5 5.192372+0 1.497107-5 5.619998+0 1.506706-5 6.065701+0 1.521106-5 6.816674+0 1.541832-5 8.080594+0 1.558182-5 9.257198+0 1.577079-5 1.086006+1 1.595977-5 1.276574+1 1.611095-5 1.455394+1 1.621826-5 1.599488+1 1.640408-5 1.887225+1 1.656667-5 2.185400+1 1.672740-5 2.532904+1 1.688813-5 2.943712+1 1.704887-5 3.431872+1 1.712923-5 3.710966+1 1.727826-5 4.301582+1 1.741586-5 4.945596+1 1.752243-5 5.523696+1 1.763747-5 6.242160+1 1.774532-5 7.022110+1 1.784642-5 7.864515+1 1.796284-5 8.994185+1 1.803841-5 9.836758+1 1.811338-5 1.077355+2 1.819148-5 1.187446+2 1.826470-5 1.304181+2 1.833334-5 1.427502+2 1.842097-5 1.608114+2 1.851890-5 1.847756+2 1.856762-5 1.985063+2 1.861733-5 2.139871+2 1.866393-5 2.300414+2 1.875132-5 2.649616+2 1.882778-5 3.019845+2 1.889959-5 3.440447+2 1.895322-5 3.815016+2 1.901514-5 4.332591+2 1.904926-5 4.667172+2 1.908848-5 5.105361+2 1.912280-5 5.544481+2 1.915282-5 5.978404+2 1.920572-5 6.874975+2 1.924478-5 7.661260+2 1.930089-5 9.000399+2 1.937492-5 1.116841+3 1.941066-5 1.237307+3 1.945832-5 1.411586+3 1.950598-5 1.597981+3 1.955364-5 1.792642+3 1.960130-5 1.993840+3 1.969662-5 2.439430+3 1.973237-5 2.644997+3 1.974428-5 2.722206+3 1.978003-5 2.990159+3 1.980386-5 3.207780+3 1.983066-5 3.501259+3 1.984556-5 3.690905+3 1.985598-5 3.836504+3 1.988726-5 4.345303+3 1.990364-5 4.660172+3 1.991928-5 4.995344+3 1.994914-5 5.738227+3 1.998761-5 6.914823+3 2.006084-5 9.904624+3 2.009337-5 1.154899+4 2.011794-5 1.290822+4 2.016709-5 1.587123+4 2.018293-5 1.687651+4 2.021662-5 1.905407+4 2.024299-5 2.075732+4 2.025576-5 2.157054+4 2.028004-5 2.307435+4 2.029893-5 2.418925+4 2.031338-5 2.500081+4 2.033404-5 2.608377+4 2.035687-5 2.715623+4 2.036368-5 2.744768+4 2.039247-5 2.852003+4 2.041496-5 2.916105+4 2.044116-5 2.967240+4 2.046465-5 2.990543+4 2.047885-5 2.994089+4 2.050075-5 2.984005+4 2.052302-5 2.954733+4 2.054438-5 2.909347+4 2.056603-5 2.847076+4 2.057988-5 2.799200+4 2.059311-5 2.748098+4 2.061249-5 2.664548+4 2.063130-5 2.574575+4 2.065549-5 2.448137+4 2.067708-5 2.327123+4 2.069773-5 2.206099+4 2.072921-5 2.015384+4 2.075378-5 1.864559+4 2.078143-5 1.696127+4 2.080293-5 1.567912+4 2.085208-5 1.290690+4 2.087072-5 1.192988+4 2.090632-5 1.019931+4 2.094487-5 8.538733+3 2.098207-5 7.151268+3 2.108642-5 4.304727+3 2.111215-5 3.806558+3 2.113788-5 3.374368+3 2.116361-5 3.000756+3 2.118934-5 2.678603+3 2.121507-5 2.401226+3 2.124080-5 2.162481+3 2.126653-5 1.956816+3 2.129225-5 1.779304+3 2.131798-5 1.625626+3 2.136944-5 1.375396+3 2.142090-5 1.182495+3 2.147970-5 1.011121+3 2.152382-5 9.071966+2 2.157527-5 8.055246+2 2.163856-5 7.020752+2 2.167819-5 6.466248+2 2.173491-5 5.770123+2 2.185067-5 4.615271+2 2.211048-5 2.832811+2 2.217911-5 2.498912+2 2.223343-5 2.273291+2 2.228776-5 2.082206+2 2.234208-5 1.924987+2 2.238665-5 1.819702+2 2.241339-5 1.765813+2 2.244268-5 1.713876+2 2.248787-5 1.645956+2 2.255938-5 1.559806+2 2.268875-5 1.427971+2 2.280163-5 1.314772+2 2.285762-5 1.266580+2 2.289526-5 1.241572+2 2.291360-5 1.232273+2 2.295159-5 1.220100+2 2.299579-5 1.219241+2 2.301065-5 1.222305+2 2.303295-5 1.230024+2 2.305524-5 1.241340+2 2.309125-5 1.266472+2 2.313754-5 1.308631+2 2.323902-5 1.415332+2 2.330550-5 1.472896+2 2.333026-5 1.488267+2 2.335389-5 1.499161+2 2.339366-5 1.508548+2 2.342191-5 1.508272+2 2.344309-5 1.504390+2 2.347487-5 1.493068+2 2.350665-5 1.475890+2 2.354846-5 1.446133+2 2.358543-5 1.415021+2 2.372205-5 1.290737+2 2.376722-5 1.254258+2 2.383194-5 1.209743+2 2.389805-5 1.173561+2 2.401748-5 1.125012+2 2.423147-5 1.052969+2 2.443287-5 9.811867+1 2.477379-5 8.700908+1 2.515091-5 7.653388+1 2.531528-5 7.223025+1 2.559080-5 6.517509+1 2.582402-5 5.932610+1 2.600849-5 5.482272+1 2.617882-5 5.080552+1 2.652601-5 4.322169+1 2.675531-5 3.894022+1 2.687392-5 3.708922+1 2.693712-5 3.623337+1 2.699254-5 3.556745+1 2.704623-5 3.500468+1 2.709824-5 3.454338+1 2.714863-5 3.418247+1 2.722108-5 3.383065+1 2.728982-5 3.371204+1 2.733379-5 3.376934+1 2.738799-5 3.401466+1 2.742892-5 3.435288+1 2.746866-5 3.483179+1 2.750717-5 3.546169+1 2.752597-5 3.583670+1 2.756299-5 3.672132+1 2.759886-5 3.778692+1 2.763360-5 3.904403+1 2.766726-5 4.050282+1 2.770000-5 4.218090+1 2.773145-5 4.406477+1 2.776205-5 4.618737+1 2.779169-5 4.855090+1 2.782041-5 5.116566+1 2.784823-5 5.404254+1 2.787518-5 5.719313+1 2.790128-5 6.062986+1 2.792658-5 6.436608+1 2.797558-5 7.294454+1 2.802319-5 8.335869+1 2.806459-5 9.453366+1 2.810496-5 1.078376+2 2.814963-5 1.260634+2 2.817831-5 1.401802+2 2.821158-5 1.594545+2 2.824277-5 1.809029+2 2.827201-5 2.045548+2 2.829942-5 2.303950+2 2.833612-5 2.715673+2 2.837180-5 3.202300+2 2.841684-5 3.964355+2 2.848263-5 5.452649+2 2.857698-5 8.629872+2 2.863388-5 1.131776+3 2.868405-5 1.427291+3 2.872139-5 1.686975+3 2.876231-5 2.013256+3 2.878129-5 2.180018+3 2.881663-5 2.516747+3 2.885196-5 2.887681+3 2.892704-5 3.783649+3 2.893533-5 3.890671+3 2.899771-5 4.739507+3 2.902049-5 5.064353+3 2.906396-5 5.697478+3 2.909985-5 6.224212+3 2.913463-5 6.729072+3 2.917052-5 7.234512+3 2.920530-5 7.699895+3 2.923621-5 8.085724+3 2.927037-5 8.473656+3 2.928038-5 8.578545+3 2.932220-5 8.968262+3 2.935412-5 9.207582+3 2.939278-5 9.423217+3 2.942724-5 9.542793+3 2.945061-5 9.583684+3 2.948563-5 9.583669+3 2.950950-5 9.541920+3 2.956230-5 9.333886+3 2.959437-5 9.134748+3 2.962240-5 8.919820+3 2.965585-5 8.618764+3 2.968776-5 8.292261+3 2.972402-5 7.882873+3 2.976190-5 7.421689+3 2.980597-5 6.856398+3 2.984131-5 6.391708+3 2.988106-5 5.867444+3 2.991197-5 5.464866+3 2.998264-5 4.584645+3 3.000693-5 4.300151+3 3.005400-5 3.781594+3 3.011956-5 3.138805+3 3.025404-5 2.122312+3 3.029127-5 1.908229+3 3.032850-5 1.719946+3 3.036909-5 1.541450+3 3.040297-5 1.411648+3 3.043630-5 1.299188+3 3.048985-5 1.146067+3 3.055124-5 1.005240+3 3.061394-5 8.915003+2 3.068418-5 7.913956+2 3.072000-5 7.489258+2 3.078511-5 6.831760+2 3.086070-5 6.210752+2 3.094611-5 5.641447+2 3.101187-5 5.273055+2 3.108746-5 4.905931+2 3.124641-5 4.275102+2 3.141818-5 3.740916+2 3.157285-5 3.353018+2 3.165018-5 3.186756+2 3.172751-5 3.037547+2 3.180510-5 2.904280+2 3.196825-5 2.675294+2 3.207010-5 2.566017+2 3.212189-5 2.520116+2 3.218635-5 2.472034+2 3.226636-5 2.426377+2 3.233501-5 2.399586+2 3.243073-5 2.380882+2 3.252287-5 2.381680+2 3.262539-5 2.399687+2 3.281281-5 2.452956+2 3.294526-5 2.481771+2 3.302306-5 2.488862+2 3.311863-5 2.486275+2 3.320394-5 2.474682+2 3.333235-5 2.446355+2 3.363255-5 2.374830+2 3.385560-5 2.342075+2 3.429929-5 2.302283+2 3.445863-5 2.283668+2 3.496658-5 2.211088+2 3.569669-5 2.129712+2 3.658927-5 2.056310+2 3.770563-5 1.984862+2 3.907622-5 1.918647+2 4.048993-5 1.865399+2 4.349249-5 1.783317+2 4.713435-5 1.701030+2 4.852873-5 1.658306+2 4.876762-5 1.658860+2 4.890993-5 1.663286+2 4.915200-5 1.678536+2 4.972980-5 1.730593+2 4.997838-5 1.740875+2 5.016111-5 1.739956+2 5.048978-5 1.725661+2 5.099936-5 1.701504+2 5.131947-5 1.694814+2 5.248075-5 1.685562+2 5.339764-5 1.670116+2 5.547076-5 1.626928+2 5.854735-5 1.542863+2 6.098080-5 1.458819+2 6.287803-5 1.378869+2 6.474706-5 1.289030+2 6.622645-5 1.209852+2 6.764871-5 1.126682+2 6.900442-5 1.041135+2 7.038822-5 9.486595+1 7.162747-5 8.959690+1 7.168941-5 8.962952+1 7.281722-5 9.543183+1 7.415670-5 1.076589+2 7.521335-5 1.193537+2 7.629569-5 1.336667+2 7.723893-5 1.484701+2 7.826502-5 1.675778+2 7.921620-5 1.887254+2 8.013362-5 2.130261+2 8.094523-5 2.384994+2 8.175230-5 2.684170+2 8.235705-5 2.945045+2 8.302688-5 3.278904+2 8.360048-5 3.609917+2 8.417440-5 3.991810+2 8.471245-5 4.405111+2 8.535914-5 4.987184+2 8.584396-5 5.498125+2 8.613310-5 5.839720+2 8.654873-5 6.388011+2 8.693838-5 6.973804+2 8.735810-5 7.697534+2 8.777922-5 8.540117+2 8.810489-5 9.288272+2 8.855039-5 1.047960+3 8.891490-5 1.163270+3 8.929547-5 1.305359+3 8.967768-5 1.476492+3 8.991140-5 1.598775+3 9.025738-5 1.811082+3 9.057311-5 2.046629+3 9.085395-5 2.300884+3 9.109109-5 2.559160+3 9.130260-5 2.833898+3 9.149603-5 3.132908+3 9.164960-5 3.411802+3 9.179130-5 3.709888+3 9.191528-5 4.009804+3 9.202377-5 4.307979+3 9.221361-5 4.928074+3 9.235600-5 5.494104+3 9.246279-5 5.987824+3 9.262298-5 6.861271+3 9.278316-5 7.924725+3 9.289735-5 8.819531+3 9.301318-5 9.860300+3 9.323991-5 1.234437+4 9.369666-5 1.951987+4 9.379604-5 2.151340+4 9.421520-5 3.163145+4 9.444596-5 3.820404+4 9.447481-5 3.906102+4 9.467672-5 4.518504+4 9.475605-5 4.761408+4 9.483177-5 4.992028+4 9.494600-5 5.333883+4 9.505659-5 5.652856+4 9.516085-5 5.937664+4 9.524588-5 6.155114+4 9.536741-5 6.437481+4 9.547970-5 6.663329+4 9.560239-5 6.865577+4 9.574941-5 7.039414+4 9.585500-5 7.114467+4 9.599361-5 7.146744+4 9.610151-5 7.119012+4 9.618891-5 7.062899+4 9.630277-5 6.945909+4 9.636487-5 6.861985+4 9.653442-5 6.566017+4 9.665200-5 6.309225+4 9.677484-5 6.002977+4 9.689389-5 5.675920+4 9.700431-5 5.352150+4 9.709654-5 5.070865+4 9.721511-5 4.700210+4 9.733050-5 4.335612+4 9.744588-5 3.972820+4 9.757568-5 3.573096+4 9.767664-5 3.272164+4 9.790740-5 2.630188+4 9.802789-5 2.325491+4 9.822054-5 1.886992+4 9.835965-5 1.608816+4 9.849024-5 1.376775+4 9.864298-5 1.139700+4 9.878942-5 9.450025+3 9.895746-5 7.574094+3 9.917350-5 5.656291+3 9.942599-5 4.005544+3 9.951890-5 3.533950+3 9.970916-5 2.764402+3 9.976205-5 2.593607+3 1.000537-4 1.957304+3 1.002132-4 1.817917+3 1.003160-4 1.805901+3 1.004160-4 1.854391+3 1.004858-4 1.924586+3 1.005467-4 2.011087+3 1.005955-4 2.098035+3 1.006526-4 2.220251+3 1.006871-4 2.304923+3 1.007260-4 2.410503+3 1.008024-4 2.650163+3 1.008807-4 2.941750+3 1.009725-4 3.345849+3 1.012521-4 5.021357+3 1.013997-4 6.195712+3 1.015278-4 7.385863+3 1.015970-4 8.094572+3 1.017462-4 9.781272+3 1.018432-4 1.098945+4 1.020276-4 1.351170+4 1.021002-4 1.457692+4 1.021953-4 1.602673+4 1.023400-4 1.832518+4 1.024619-4 2.032233+4 1.025624-4 2.198737+4 1.026726-4 2.381133+4 1.027914-4 2.574628+4 1.028710-4 2.700804+4 1.029815-4 2.869106+4 1.030631-4 2.987014+4 1.032078-4 3.179017+4 1.033286-4 3.319402+4 1.033794-4 3.372224+4 1.034964-4 3.478795+4 1.035929-4 3.549560+4 1.036870-4 3.602933+4 1.038061-4 3.647436+4 1.038964-4 3.663790+4 1.039434-4 3.666344+4 1.041068-4 3.644001+4 1.042286-4 3.596922+4 1.042999-4 3.558032+4 1.044168-4 3.477399+4 1.045554-4 3.357369+4 1.046578-4 3.254008+4 1.047636-4 3.136176+4 1.049202-4 2.945413+4 1.050690-4 2.751744+4 1.052280-4 2.537566+4 1.052810-4 2.465605+4 1.055211-4 2.143597+4 1.055727-4 2.076240+4 1.059338-4 1.638173+4 1.064936-4 1.113354+4 1.065943-4 1.040094+4 1.067750-4 9.236464+3 1.069557-4 8.248629+3 1.071191-4 7.490531+3 1.072502-4 6.963262+3 1.073814-4 6.499944+3 1.076438-4 5.735038+3 1.079127-4 5.128472+3 1.081077-4 4.774142+3 1.083180-4 4.454222+3 1.085178-4 4.197454+3 1.087077-4 3.987412+3 1.089751-4 3.735788+3 1.092412-4 3.524924+3 1.095638-4 3.308492+3 1.099014-4 3.115908+3 1.106625-4 2.765789+3 1.110169-4 2.630963+3 1.113908-4 2.504031+3 1.118025-4 2.380501+3 1.122811-4 2.255907+3 1.129874-4 2.103574+3 1.137836-4 1.967086+3 1.145390-4 1.863571+3 1.153433-4 1.774560+3 1.162252-4 1.696412+3 1.172188-4 1.627018+3 1.183198-4 1.567112+3 1.193500-4 1.522949+3 1.202264-4 1.492071+3 1.214643-4 1.455630+3 1.239171-4 1.397893+3 1.336048-4 1.224004+3 1.430000-4 1.097800+3 1.616859-4 9.144795+2 1.830000-4 7.619184+2 1.895759-4 7.201030+2 1.931250-4 6.966150+2 1.954040-4 6.803549+2 1.991274-4 6.507238+2 2.003827-4 6.442093+2 2.017509-4 6.416579+2 2.051500-4 6.440963+2 2.063119-4 6.435765+2 2.115969-4 6.335174+2 2.173424-4 6.186740+2 2.235501-4 6.015171+2 2.297613-4 5.838214+2 2.371374-4 5.620075+2 2.448958-4 5.376722+2 2.488255-4 5.213945+2 2.507379-4 5.138003+2 2.519457-4 5.109174+2 2.532427-4 5.103200+2 2.572897-4 5.165136+2 2.588269-4 5.163974+2 2.611738-4 5.129196+2 2.839366-4 4.695650+2 2.951209-4 4.462791+2 3.095405-4 4.139328+2 3.157960-4 3.990245+2 3.200560-4 3.924791+2 3.259524-4 3.833657+2 3.331547-4 3.689219+2 3.459721-4 3.405368+2 3.566279-4 3.146275+2 3.658740-4 2.893491+2 3.732802-4 2.658134+2 3.798100-4 2.418558+2 3.817718-4 2.365202+2 3.833966-4 2.335626+2 3.884685-4 2.278024+2 3.904868-4 2.242470+2 3.928422-4 2.190441+2 3.963790-4 2.102118+2 3.991938-4 2.021624+2 4.037297-4 1.880360+2 4.065912-4 1.794084+2 4.106625-4 1.672694+2 4.138805-4 1.572123+2 4.168694-4 1.474916+2 4.191947-4 1.398311+2 4.240000-4 1.244272+2 4.284375-4 1.117914+2 4.307000-4 1.063326+2 4.329372-4 1.017767+2 4.354065-4 9.787266+1 4.377561-4 9.538878+1 4.401958-4 9.420178+1 4.417964-4 9.423992+1 4.450000-4 9.634822+1 4.481726-4 1.011774+2 4.527012-4 1.128142+2 4.561282-4 1.253170+2 4.570994-4 1.294365+2 4.614976-4 1.512030+2 4.684362-4 1.953601+2 4.732181-4 2.318390+2 4.780127-4 2.723923+2 4.813553-4 3.025886+2 4.845295-4 3.324408+2 4.872877-4 3.591263+2 4.900000-4 3.858865+2 4.941850-4 4.279057+2 4.973553-4 4.601697+2 5.011872-4 4.995056+2 5.055335-4 5.443619+2 5.100337-4 5.908723+2 5.150000-4 6.419153+2 5.219813-4 7.124543+2 5.264650-4 7.566552+2 5.331685-4 8.204314+2 5.412858-4 8.938276+2 5.514032-4 9.798075+2 5.638682-4 1.078609+3 5.777287-4 1.180070+3 5.906290-4 1.266469+3 6.050000-4 1.353182+3 6.177604-4 1.421626+3 6.335000-4 1.497373+3 6.533221-4 1.578726+3 6.700000-4 1.633994+3 6.851550-4 1.672835+3 6.995021-4 1.700020+3 7.095835-4 1.766719+3 7.131649-4 1.838786+3 7.148972-4 1.886566+3 7.184948-4 2.004758+3 7.233950-4 2.154222+3 7.255093-4 2.191161+3 7.271956-4 2.202829+3 7.289594-4 2.197597+3 7.307820-4 2.175436+3 7.341084-4 2.105596+3 7.375637-4 2.023432+3 7.392343-4 1.989744+3 7.409236-4 1.962858+3 7.444162-4 1.933471+3 7.504432-4 1.958030+3 7.517146-4 1.973134+3 7.551896-4 2.028802+3 7.586729-4 2.101200+3 7.605717-4 2.144139+3 7.660783-4 2.253872+3 7.677995-4 2.275849+3 7.695870-4 2.289788+3 7.715043-4 2.294426+3 7.735110-4 2.288999+3 7.831010-4 2.210618+3 7.846078-4 2.203157+3 7.878880-4 2.197060+3 7.967274-4 2.227967+3 8.099964-4 2.296176+3 8.280000-4 2.369759+3 8.567366-4 2.463458+3 8.893878-4 2.548019+3 9.166463-4 2.604082+3 9.501783-4 2.657221+3 9.783160-4 2.683984+3 1.008390-3 2.693378+3 1.020299-3 2.715457+3 1.037448-3 2.775387+3 1.051474-3 2.830956+3 1.064829-3 2.874598+3 1.087479-3 2.925423+3 1.119414-3 2.974252+3 1.161449-3 3.020945+3 1.198918-3 3.050099+3 1.250445-3 3.074335+3 1.297988-3 3.114420+3 1.334634-3 3.130988+3 1.400791-3 3.133446+3 1.419156-3 3.138560+3 1.460155-3 3.169292+3 1.507367-3 3.185619+3 1.569282-3 3.191873+3 1.645725-3 3.189742+3 1.727525-3 3.176594+3 1.819701-3 3.148848+3 1.922024-3 3.111358+3 2.024184-3 3.067908+3 2.144125-3 3.007884+3 2.270213-3 2.934569+3 2.408584-3 2.848802+3 2.544632-3 2.752811+3 2.683316-3 2.647923+3 2.786121-3 2.561944+3 2.900000-3 2.458918+3 2.996143-3 2.363944+3 3.085133-3 2.266988+3 3.162278-3 2.172051+3 3.219678-3 2.089674+3 3.279301-3 1.994682+3 3.325658-3 1.910740+3 3.367787-3 1.822485+3 3.400000-3 1.743486+3 3.428605-3 1.661566+3 3.478565-3 1.506908+3 3.486932-3 1.486940+3 3.495452-3 1.471122+3 3.503971-3 1.460725+3 3.515280-3 1.455961+3 3.523187-3 1.458515+3 3.538050-3 1.473762+3 3.613748-3 1.603163+3 3.638911-3 1.654907+3 3.657158-3 1.699419+3 3.674650-3 1.750942+3 3.694841-3 1.823166+3 3.728832-3 1.958998+3 3.746635-3 2.023653+3 3.775773-3 2.114198+3 3.834464-3 2.282355+3 3.854775-3 2.334581+3 3.879270-3 2.388420+3 3.906358-3 2.436587+3 3.939816-3 2.482900+3 3.973350-3 2.518314+3 4.015300-3 2.550994+3 4.055416-3 2.571876+3 4.090697-3 2.582218+3 4.135052-3 2.584010+3 4.168085-3 2.575659+3 4.231872-3 2.547364+3 4.247482-3 2.546564+3 4.262785-3 2.552114+3 4.288033-3 2.577573+3 4.313022-3 2.620524+3 4.369586-3 2.735756+3 4.392544-3 2.773914+3 4.419378-3 2.809047+3 4.453738-3 2.842395+3 4.494582-3 2.871139+3 4.543010-3 2.895595+3 4.601375-3 2.915666+3 4.663426-3 2.929286+3 4.735344-3 2.937716+3 4.878626-3 2.934951+3 4.942971-3 2.925631+3 5.008184-3 2.909347+3 5.125122-3 2.864897+3 5.175231-3 2.857817+3 5.251575-3 2.875894+3 5.316857-3 2.889612+3 5.363187-3 2.889815+3 5.485061-3 2.870894+3 5.535332-3 2.872503+3 5.647897-3 2.894867+3 5.765923-3 2.898584+3 5.923358-3 2.885148+3 6.144000-3 2.851847+3 6.475153-3 2.789401+3 6.949298-3 2.683747+3 7.503328-3 2.552943+3 8.036686-3 2.425341+3 8.619235-3 2.289843+3 9.310743-3 2.138455+3 1.012171-2 1.972622+3 1.105987-2 1.797315+3 1.161240-2 1.702405+3 1.214532-2 1.615750+3 1.270201-2 1.529891+3 1.328965-2 1.443717+3 1.375272-2 1.378643+3 1.425813-2 1.310054+3 1.467250-2 1.254519+3 1.506092-2 1.203018+3 1.539184-2 1.158739+3 1.566751-2 1.121073+3 1.590953-2 1.086860+3 1.610617-2 1.057672+3 1.628241-2 1.029779+3 1.640913-2 1.008097+3 1.654079-2 9.831789+2 1.664108-2 9.615706+2 1.672121-2 9.419754+2 1.683643-2 9.098561+2 1.699505-2 8.645855+2 1.706386-2 8.499427+2 1.710908-2 8.436519+2 1.714204-2 8.410468+2 1.719246-2 8.404605+2 1.725516-2 8.451799+2 1.733869-2 8.587343+2 1.753275-2 8.993896+2 1.759079-2 9.093596+2 1.766801-2 9.198672+2 1.774397-2 9.273685+2 1.783477-2 9.334031+2 1.795104-2 9.378217+2 1.808469-2 9.398566+2 1.821396-2 9.397419+2 1.839920-2 9.371340+2 1.857487-2 9.327015+2 1.881438-2 9.243555+2 1.926767-2 9.031499+2 1.971401-2 8.766916+2 2.008573-2 8.498989+2 2.024939-2 8.359703+2 2.039686-2 8.215797+2 2.059600-2 7.983151+2 2.084791-2 7.670522+2 2.095564-2 7.578953+2 2.105118-2 7.538421+2 2.115497-2 7.536355+2 2.156882-2 7.650153+2 2.179439-2 7.707121+2 2.223912-2 7.895766+2 2.245989-2 7.939025+2 2.277334-2 7.939916+2 2.320706-2 7.887026+2 2.373067-2 7.783579+2 2.467104-2 7.548864+2 2.581155-2 7.227371+2 2.700386-2 6.881771+2 2.888153-2 6.355859+2 3.154596-2 5.682280+2 3.450995-2 5.040415+2 3.815346-2 4.377132+2 4.221881-2 3.767158+2 4.783561-2 3.103533+2 5.193412-2 2.720298+2 5.632003-2 2.377230+2 6.371262-2 1.921222+2 7.504935-2 1.437692+2 8.488814-2 1.149628+2 9.214886-2 9.857222+1 9.592539-2 9.119449+1 1.017527-1 8.092925+1 1.059254-1 7.412955+1 1.088501-1 6.941523+1 1.100334-1 6.744773+1 1.110016-1 6.576598+1 1.118274-1 6.423410+1 1.124973-1 6.287755+1 1.134264-1 6.074100+1 1.149622-1 5.691640+1 1.154721-1 5.598333+1 1.158624-1 5.553527+1 1.162991-1 5.534524+1 1.167995-1 5.550101+1 1.176058-1 5.628675+1 1.187272-1 5.747518+1 1.196386-1 5.800901+1 1.202264-1 5.814759+1 1.209235-1 5.816733+1 1.227143-1 5.781338+1 1.245962-1 5.711417+1 1.278579-1 5.555633+1 1.330259-1 5.279758+1 1.380384-1 5.006307+1 1.459024-1 4.594562+1 1.573499-1 4.060406+1 1.739677-1 3.421537+1 2.008790-1 2.655289+1 2.368735-1 1.971267+1 2.895208-1 1.361428+1 3.568958-1 9.190220+0 4.574172-1 5.726809+0 6.422583-1 2.973782+0 9.886186-1 1.282343+0 1.477239+0 5.823030-1 2.451607+0 2.133103-1 5.616308+0 4.084300-2 1.696098+1 4.481738-3 5.122134+1 4.914252-4 1.546860+2 5.388382-5 4.671441+2 5.908244-6 1.584893+3 5.132870-7 5.011872+3 5.132870-8 1.584893+4 5.132870-9 5.011872+4 5.13287-10 1.000000+5 1.28932-10 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.826500-6 1.258900-6 4.479700-6 1.584900-6 7.099900-6 1.995300-6 1.125200-5 2.511900-6 1.783400-5 3.162300-6 2.826500-5 3.981100-6 4.479600-5 5.011900-6 7.099700-5 6.309600-6 1.125200-4 7.943300-6 1.783300-4 1.000000-5 2.826400-4 1.258900-5 4.479400-4 1.584900-5 7.095700-4 1.995300-5 1.123800-3 2.511900-5 1.780200-3 3.162300-5 2.820200-3 3.981100-5 4.468400-3 5.011900-5 7.080200-3 6.309600-5 1.121900-2 7.943300-5 1.775800-2 1.000000-4 2.809500-2 1.258900-4 4.438900-2 1.584900-4 7.000700-2 1.995300-4 1.100900-1 2.511900-4 1.724000-1 3.162300-4 2.682200-1 3.981100-4 4.125800-1 5.011900-4 6.216300-1 6.309600-4 9.132400-1 7.943300-4 1.300200+0 1.000000-3 1.790600+0 1.258900-3 2.395200+0 1.584900-3 3.144500+0 1.995300-3 4.085500+0 2.511900-3 5.254300+0 3.162300-3 6.671400+0 3.981100-3 8.356200+0 5.011900-3 1.029100+1 6.309600-3 1.243800+1 7.943300-3 1.482900+1 1.000000-2 1.751400+1 1.258900-2 2.042600+1 1.584900-2 2.348000+1 1.995300-2 2.642400+1 2.511900-2 2.925400+1 3.162300-2 3.193100+1 3.981100-2 3.418300+1 5.011900-2 3.603200+1 6.309600-2 3.746500+1 7.943300-2 3.805900+1 1.000000-1 3.801900+1 1.258900-1 3.737300+1 1.584900-1 3.613100+1 1.995300-1 3.454600+1 2.511900-1 3.260500+1 3.162300-1 3.046100+1 3.981100-1 2.820500+1 5.011900-1 2.590500+1 6.309600-1 2.362200+1 7.943300-1 2.138700+1 1.000000+0 1.922600+1 1.258900+0 1.717600+1 1.584900+0 1.523800+1 1.995300+0 1.342700+1 2.511900+0 1.175400+1 3.162300+0 1.022500+1 3.981100+0 8.841200+0 5.011900+0 7.601300+0 6.309600+0 6.501000+0 7.943300+0 5.532900+0 1.000000+1 4.688000+0 1.258900+1 3.956000+0 1.584900+1 3.326100+0 1.995300+1 2.787200+0 2.511900+1 2.328500+0 3.162300+1 1.940100+0 3.981100+1 1.612500+0 5.011900+1 1.337300+0 6.309600+1 1.106800+0 7.943300+1 9.143800-1 1.000000+2 7.541500-1 1.258900+2 6.210600-1 1.584900+2 5.107500-1 1.995300+2 4.195000-1 2.511900+2 3.441400-1 3.162300+2 2.820200-1 3.981100+2 2.308800-1 5.011900+2 1.888300-1 6.309600+2 1.543100-1 7.943300+2 1.259900-1 1.000000+3 1.028000-1 1.258900+3 8.380900-2 1.584900+3 6.828200-2 1.995300+3 5.559600-2 2.511900+3 4.523900-2 3.162300+3 3.679000-2 3.981100+3 2.990300-2 5.011900+3 2.429200-2 6.309600+3 1.972500-2 7.943300+3 1.600800-2 1.000000+4 1.298600-2 1.258900+4 1.053000-2 1.584900+4 8.534400-3 1.995300+4 6.914400-3 2.511900+4 5.599800-3 3.162300+4 4.533500-3 3.981100+4 3.668800-3 5.011900+4 2.968100-3 6.309600+4 2.400400-3 7.943300+4 1.940700-3 1.000000+5 1.568500-3 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941554-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159551-4 3.981072-4 3.976779-4 5.011872-4 5.005118-4 6.309573-4 6.298976-4 7.943282-4 7.926711-4 1.000000-3 9.974120-4 1.258925-3 1.254896-3 1.584893-3 1.578593-3 1.995262-3 1.985377-3 2.511886-3 2.496359-3 3.162278-3 3.137905-3 3.981072-3 3.942871-3 5.011872-3 4.952152-3 6.309573-3 6.216478-3 7.943282-3 7.798148-3 1.000000-2 9.773555-3 1.258925-2 1.223592-2 1.584893-2 1.530229-2 1.995262-2 1.911016-2 2.511886-2 2.382490-2 3.162278-2 2.964159-2 3.981072-2 3.678918-2 5.011872-2 4.555341-2 6.309573-2 5.626174-2 7.943282-2 6.927394-2 1.000000-1 8.503277-2 1.258925-1 1.040479-1 1.584893-1 1.269955-1 1.995262-1 1.543002-1 2.511886-1 1.870061-1 3.162278-1 2.259218-1 3.981072-1 2.720421-1 5.011872-1 3.265967-1 6.309573-1 3.909715-1 7.943282-1 4.668055-1 1.000000+0 5.563677-1 1.258925+0 6.614227-1 1.584893+0 7.857346-1 1.995262+0 9.328129-1 2.511886+0 1.107376+0 3.162278+0 1.315078+0 3.981072+0 1.563060+0 5.011872+0 1.859908+0 6.309573+0 2.216112+0 7.943282+0 2.644756+0 1.000000+1 3.161311+0 1.258925+1 3.785384+0 1.584893+1 4.540596+0 1.995262+1 5.455912+0 2.511886+1 6.566607+0 3.162278+1 7.916829+0 3.981072+1 9.559116+0 5.011872+1 1.156000+1 6.309573+1 1.399963+1 7.943282+1 1.697734+1 1.000000+2 2.061477+1 1.258925+2 2.506194+1 1.584893+2 3.050342+1 1.995262+2 3.716703+1 2.511886+2 4.533228+1 3.162278+2 5.534490+1 3.981072+2 6.762941+1 5.011872+2 8.271264+1 6.309573+2 1.012423+2 7.943282+2 1.240185+2 1.000000+3 1.520274+2 1.258925+3 1.864903+2 1.584893+3 2.289149+2 1.995262+3 2.811740+2 2.511886+3 3.455631+2 3.162278+3 4.249289+2 3.981072+3 5.228151+2 5.011872+3 6.435809+2 6.309573+3 7.926433+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88193-10 1.995262-5 1.090618-9 2.511886-5 1.728485-9 3.162278-5 2.739500-9 3.981072-5 4.341869-9 5.011872-5 6.881387-9 6.309573-5 1.090599-8 7.943282-5 1.727903-8 1.000000-4 2.737730-8 1.258925-4 4.336890-8 1.584893-4 6.868575-8 1.995262-4 1.087353-7 2.511886-4 1.720672-7 3.162278-4 2.726878-7 3.981072-4 4.293135-7 5.011872-4 6.754281-7 6.309573-4 1.059740-6 7.943282-4 1.657087-6 1.000000-3 2.588045-6 1.258925-3 4.029871-6 1.584893-3 6.300609-6 1.995262-3 9.884910-6 2.511886-3 1.552759-5 3.162278-3 2.437233-5 3.981072-3 3.820069-5 5.011872-3 5.972026-5 6.309573-3 9.309553-5 7.943282-3 1.451341-4 1.000000-2 2.264446-4 1.258925-2 3.533343-4 1.584893-2 5.466453-4 1.995262-2 8.424672-4 2.511886-2 1.293962-3 3.162278-2 1.981188-3 3.981072-2 3.021540-3 5.011872-2 4.565312-3 6.309573-2 6.833993-3 7.943282-2 1.015889-2 1.000000-1 1.496723-2 1.258925-1 2.184466-2 1.584893-1 3.149380-2 1.995262-1 4.522601-2 2.511886-1 6.418254-2 3.162278-1 9.030593-2 3.981072-1 1.260651-1 5.011872-1 1.745906-1 6.309573-1 2.399859-1 7.943282-1 3.275227-1 1.000000+0 4.436323-1 1.258925+0 5.975027-1 1.584893+0 7.991586-1 1.995262+0 1.062449+0 2.511886+0 1.404510+0 3.162278+0 1.847200+0 3.981072+0 2.418012+0 5.011872+0 3.151965+0 6.309573+0 4.093462+0 7.943282+0 5.298527+0 1.000000+1 6.838689+0 1.258925+1 8.803870+0 1.584893+1 1.130834+1 1.995262+1 1.449671+1 2.511886+1 1.855226+1 3.162278+1 2.370595+1 3.981072+1 3.025160+1 5.011872+1 3.855872+1 6.309573+1 4.909611+1 7.943282+1 6.245548+1 1.000000+2 7.938523+1 1.258925+2 1.008306+2 1.584893+2 1.279859+2 1.995262+2 1.623592+2 2.511886+2 2.058564+2 3.162278+2 2.608829+2 3.981072+2 3.304778+2 5.011872+2 4.184746+2 6.309573+2 5.297150+2 7.943282+2 6.703097+2 1.000000+3 8.479726+2 1.258925+3 1.072435+3 1.584893+3 1.355978+3 1.995262+3 1.714088+3 2.511886+3 2.166323+3 3.162278+3 2.737349+3 3.981072+3 3.458257+3 5.011872+3 4.368291+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.130000-6 6.277742+6 4.216965-6 6.380484+6 4.415704-6 6.557310+6 4.623810-6 6.697708+6 4.740000-6 6.751944+6 4.740000-6 9.805547+6 4.800000-6 9.892344+6 4.900000-6 1.001729+7 4.960000-6 1.008043+7 5.188000-6 1.029366+7 5.248075-6 1.034247+7 5.432503-6 1.046305+7 5.600000-6 1.055307+7 5.754399-6 1.061429+7 5.780000-6 1.062198+7 5.780000-6 2.019100+7 6.025596-6 1.903794+7 6.165950-6 1.844363+7 6.382635-6 1.762537+7 6.500000-6 1.722311+7 6.760830-6 1.640909+7 7.000000-6 1.575576+7 7.079458-6 1.555154+7 7.200000-6 1.526219+7 7.585776-6 1.443290+7 7.700000-6 1.420827+7 7.950000-6 1.374420+7 7.950000-6 1.398033+7 8.150000-6 1.364719+7 8.200000-6 1.356882+7 8.222426-6 1.353250+7 8.350000-6 1.332566+7 8.500000-6 1.309700+7 8.550000-6 1.302448+7 8.709636-6 1.280329+7 8.770000-6 1.272026+7 8.810489-6 1.266590+7 8.910000-6 1.252851+7 8.910000-6 1.267148+7 9.015711-6 1.253160+7 9.120108-6 1.239919+7 9.225714-6 1.227051+7 9.350000-6 1.211994+7 9.440609-6 1.201450+7 9.500000-6 1.194342+7 9.660509-6 1.175905+7 9.772372-6 1.163664+7 9.930000-6 1.146519+7 1.000000-5 1.139200+7 1.011579-5 1.126830+7 1.020000-5 1.118152+7 1.035142-5 1.103148+7 1.050000-5 1.088417+7 1.059254-5 1.079647+7 1.085000-5 1.055032+7 1.096478-5 1.044676+7 1.100000-5 1.041401+7 1.122018-5 1.021765+7 1.161449-5 9.876576+6 1.165000-5 9.846341+6 1.188502-5 9.654402+6 1.216186-5 9.431559+6 1.230269-5 9.325009+6 1.258925-5 9.112062+6 1.273503-5 9.003420+6 1.290000-5 8.886161+6 1.333521-5 8.588822+6 1.350000-5 8.478632+6 1.364583-5 8.382015+6 1.412538-5 8.092846+6 1.420000-5 8.048819+6 1.479108-5 7.718232+6 1.496236-5 7.633393+6 1.500000-5 7.614515+6 1.531087-5 7.458518+6 1.570000-5 7.285230+6 1.584893-5 7.221979+6 1.659587-5 6.935462+6 1.678804-5 6.870959+6 1.717908-5 6.746159+6 1.757924-5 6.639173+6 1.778279-5 6.589447+6 1.850000-5 6.440584+6 1.862087-5 6.420410+6 1.900000-5 6.363063+6 1.905461-5 6.356082+6 1.927525-5 6.328271+6 1.995262-5 6.269964+6 2.000000-5 6.267107+6 2.041738-5 6.246695+6 2.070000-5 6.239133+6 2.137962-5 6.244177+6 2.150000-5 6.247403+6 2.190000-5 6.263473+6 2.213095-5 6.276307+6 2.238721-5 6.293230+6 2.270000-5 6.319949+6 2.317395-5 6.365257+6 2.398833-5 6.463533+6 2.400000-5 6.465024+6 2.426610-5 6.501000+6 2.457000-5 6.542177+6 2.457000-5 2.195571+7 2.511886-5 2.097203+7 2.540973-5 2.049025+7 2.570396-5 2.002841+7 2.580000-5 1.988343+7 2.630268-5 1.917045+7 2.660725-5 1.876775+7 2.691535-5 1.838159+7 2.754229-5 1.766594+7 2.770000-5 1.749704+7 2.818383-5 1.700518+7 2.851018-5 1.670553+7 2.884032-5 1.642147+7 2.900000-5 1.628764+7 2.951209-5 1.587912+7 3.019952-5 1.539208+7 3.150000-5 1.459039+7 3.162278-5 1.452302+7 3.273407-5 1.395749+7 3.311311-5 1.378515+7 3.350000-5 1.361413+7 3.409000-5 1.337521+7 3.409000-5 2.004937+7 3.427678-5 1.990364+7 3.467369-5 1.960087+7 3.480000-5 1.950578+7 3.507519-5 1.929156+7 3.548134-5 1.898867+7 3.589219-5 1.869497+7 3.650000-5 1.826356+7 3.758374-5 1.755388+7 3.801894-5 1.728319+7 3.845918-5 1.702325+7 3.850000-5 1.699985+7 3.950000-5 1.644551+7 3.981072-5 1.628265+7 4.000000-5 1.618609+7 4.073803-5 1.581969+7 4.150000-5 1.546100+7 4.168694-5 1.537739+7 4.220000-5 1.515094+7 4.265795-5 1.495450+7 4.315191-5 1.475319+7 4.400000-5 1.441805+7 4.466836-5 1.416564+7 4.500000-5 1.404349+7 4.518559-5 1.397685+7 4.623810-5 1.360475+7 4.650000-5 1.351452+7 4.731513-5 1.324639+7 4.800000-5 1.302053+7 4.841724-5 1.289035+7 4.954502-5 1.254798+7 5.011872-5 1.237605+7 5.069907-5 1.220369+7 5.150000-5 1.197473+7 5.188000-5 1.186461+7 5.223000-5 1.176168+7 5.223000-5 1.209225+7 5.248075-5 1.201417+7 5.308844-5 1.183162+7 5.328000-5 1.177534+7 5.350000-5 1.171159+7 5.400000-5 1.156237+7 5.432503-5 1.146419+7 5.559043-5 1.110013+7 5.580000-5 1.103961+7 5.688529-5 1.072638+7 5.700000-5 1.069460+7 5.754399-5 1.054705+7 5.800000-5 1.042099+7 5.888437-5 1.017582+7 5.900000-5 1.014463+7 5.956621-5 9.995011+6 6.000000-5 9.878056+6 6.025596-5 9.810245+6 6.095369-5 9.623152+6 6.165950-5 9.441977+6 6.237348-5 9.257052+6 6.300000-5 9.094748+6 6.309573-5 9.070442+6 6.400000-5 8.847187+6 6.456542-5 8.706754+6 6.500000-5 8.597807+6 6.531306-5 8.520857+6 6.650000-5 8.240514+6 6.683439-5 8.161192+6 6.730000-5 8.052932+6 6.918310-5 7.624557+6 7.000000-5 7.443429+6 7.079458-5 7.269414+6 7.161434-5 7.096889+6 7.244360-5 6.923399+6 7.413102-5 6.580897+6 7.500000-5 6.410040+6 7.585776-5 6.243364+6 7.673615-5 6.079112+6 7.800000-5 5.846672+6 7.852356-5 5.751914+6 7.943282-5 5.592963+6 8.035261-5 5.433244+6 8.128305-5 5.274632+6 8.222426-5 5.120648+6 8.300000-5 4.994659+6 8.317638-5 4.966608+6 8.413951-5 4.813729+6 8.511380-5 4.665700+6 8.609938-5 4.517865+6 8.709636-5 4.371147+6 8.810489-5 4.229231+6 8.912509-5 4.087892+6 9.120108-5 3.812896+6 9.225714-5 3.678260+6 9.332543-5 3.545432+6 9.440609-5 3.417914+6 9.500000-5 3.348449+6 9.660509-5 3.165965+6 9.772372-5 3.046482+6 9.800000-5 3.017086+6 9.885531-5 2.926574+6 1.000000-4 2.811046+6 1.010000-4 2.715242+6 1.011579-4 2.700113+6 1.023293-4 2.589042+6 1.035142-4 2.482725+6 1.040000-4 2.440788+6 1.040200-4 2.439041+6 1.040200-4 3.776682+6 1.041400-4 3.813921+6 1.047000-4 3.950815+6 1.047129-4 3.953994+6 1.051000-4 4.054330+6 1.055000-4 4.161902+6 1.059254-4 4.278697+6 1.063000-4 4.383196+6 1.068500-4 4.536217+6 1.071519-4 4.616705+6 1.074000-4 4.685983+6 1.079500-4 4.830100+6 1.080000-4 4.841997+6 1.085000-4 4.965402+6 1.091000-4 5.100716+6 1.097000-4 5.220487+6 1.100000-4 5.270633+6 1.103000-4 5.321999+6 1.109175-4 5.405969+6 1.110000-4 5.414252+6 1.115000-4 5.465277+6 1.122018-4 5.511674+6 1.123500-4 5.516595+6 1.123500-4 6.338248+6 1.127000-4 6.416346+6 1.132000-4 6.513881+6 1.135011-4 6.567698+6 1.140000-4 6.660428+6 1.146000-4 6.757335+6 1.148154-4 6.792023+6 1.150000-4 6.817787+6 1.152000-4 6.847230+6 1.155000-4 6.888869+6 1.157000-4 6.913818+6 1.162000-4 6.973298+6 1.163000-4 6.984251+6 1.166500-4 7.016357+6 1.170000-4 7.045976+6 1.174898-4 7.083190+6 1.175000-4 7.084027+6 1.180000-4 7.105529+6 1.185000-4 7.120037+6 1.188502-4 7.124954+6 1.190000-4 7.125073+6 1.197000-4 7.111157+6 1.202264-4 7.090718+6 1.205000-4 7.075143+6 1.208000-4 7.055037+6 1.214000-4 7.003612+6 1.216186-4 6.980612+6 1.221000-4 6.930725+6 1.225000-4 6.881216+6 1.229000-4 6.829846+6 1.230269-4 6.811276+6 1.236000-4 6.728789+6 1.240000-4 6.665459+6 1.245000-4 6.587297+6 1.250000-4 6.502274+6 1.255000-4 6.418553+6 1.258925-4 6.348748+6 1.265000-4 6.240699+6 1.273503-4 6.083914+6 1.280000-4 5.967164+6 1.288250-4 5.814982+6 1.300000-4 5.606223+6 1.303167-4 5.549502+6 1.310000-4 5.429154+6 1.318257-4 5.288144+6 1.330000-4 5.092100+6 1.333521-4 5.033943+6 1.338900-4 4.946718+6 1.350000-4 4.772159+6 1.365000-4 4.547904+6 1.372400-4 4.441877+6 1.380384-4 4.328923+6 1.400000-4 4.062202+6 1.402400-4 4.030909+6 1.412538-4 3.902063+6 1.415000-4 3.871040+6 1.428894-4 3.701257+6 1.430000-4 3.688153+6 1.450000-4 3.456273+6 1.462177-4 3.323781+6 1.480000-4 3.137835+6 1.496236-4 2.976240+6 1.500000-4 2.940187+6 1.513561-4 2.814817+6 1.530000-4 2.671489+6 1.531087-4 2.662318+6 1.540000-4 2.587442+6 1.548817-4 2.515554+6 1.560000-4 2.428001+6 1.566751-4 2.376895+6 1.570000-4 2.352791+6 1.584893-4 2.245997+6 1.590000-4 2.210481+6 1.603245-4 2.121455+6 1.611900-4 2.065642+6 1.621810-4 2.004040+6 1.635000-4 1.925554+6 1.650000-4 1.840913+6 1.659587-4 1.789241+6 1.660000-4 1.787079+6 1.678804-4 1.692011+6 1.680000-4 1.686196+6 1.690000-4 1.638511+6 1.698244-4 1.600459+6 1.705000-4 1.570137+6 1.720000-4 1.505377+6 1.737801-4 1.432913+6 1.740000-4 1.424396+6 1.757924-4 1.357336+6 1.778279-4 1.286094+6 1.798871-4 1.219659+6 1.800000-4 1.216152+6 1.820000-4 1.156154+6 1.841500-4 1.096889+6 1.862087-4 1.043990+6 1.865000-4 1.036786+6 1.883649-4 9.922913+5 1.890000-4 9.779921+5 1.905461-4 9.444266+5 1.908000-4 9.391215+5 1.915000-4 9.247335+5 1.927525-4 8.997600+5 1.929400-4 8.961098+5 1.940000-4 8.758482+5 1.945000-4 8.665204+5 1.950000-4 8.573467+5 1.957000-4 8.449796+5 1.973000-4 8.177121+5 1.985000-4 7.981229+5 1.990000-4 7.901689+5 2.000000-4 7.746104+5 2.005000-4 7.671864+5 2.015000-4 7.526571+5 2.018366-4 7.478662+5 2.020000-4 7.455875+5 2.030000-4 7.318779+5 2.033900-4 7.266416+5 2.033900-4 1.095193+6 2.035000-4 1.093446+6 2.041738-4 1.082863+6 2.045000-4 1.077795+6 2.050000-4 1.070119+6 2.058000-4 1.058044+6 2.060000-4 1.055067+6 2.065380-4 1.047314+6 2.074600-4 1.034271+6 2.080000-4 1.026776+6 2.089296-4 1.014106+6 2.090000-4 1.013171+6 2.095000-4 1.006587+6 2.107000-4 9.911056+5 2.110000-4 9.873064+5 2.113489-4 9.829280+5 2.123000-4 9.714846+5 2.124000-4 9.702974+5 2.137962-4 9.540098+5 2.140000-4 9.516811+5 2.155000-4 9.348847+5 2.162719-4 9.264610+5 2.170000-4 9.187972+5 2.190000-4 8.989686+5 2.200000-4 8.893919+5 2.213095-4 8.769905+5 2.215000-4 8.752177+5 2.220000-4 8.706064+5 2.240000-4 8.534915+5 2.264644-4 8.333337+5 2.270000-4 8.291111+5 2.285500-4 8.171521+5 2.290868-4 8.131921+5 2.300000-4 8.065471+5 2.317395-4 7.941858+5 2.344229-4 7.765607+5 2.371374-4 7.599919+5 2.379860-4 7.553660+5 2.398833-4 7.452311+5 2.400000-4 7.446188+5 2.426610-4 7.313541+5 2.454709-4 7.185456+5 2.483133-4 7.065003+5 2.500000-4 6.999040+5 2.511886-4 6.953434+5 2.540973-4 6.853236+5 2.570396-4 6.760269+5 2.588600-4 6.707215+5 2.593800-4 6.692064+5 2.593800-4 8.163000+5 2.600160-4 8.136134+5 2.635000-4 7.998403+5 2.640000-4 7.979773+5 2.645600-4 7.958933+5 2.660725-4 7.903004+5 2.691535-4 7.796551+5 2.722701-4 7.688705+5 2.730000-4 7.664014+5 2.754229-4 7.582403+5 2.780000-4 7.499577+5 2.786121-4 7.479499+5 2.800000-4 7.434731+5 2.818383-4 7.378636+5 2.884032-4 7.198644+5 2.917427-4 7.113820+5 2.951209-4 7.034856+5 2.985383-4 6.965155+5 3.019952-4 6.897943+5 3.030000-4 6.879675+5 3.054921-4 6.837109+5 3.126079-4 6.719206+5 3.162278-4 6.663535+5 3.180000-4 6.638176+5 3.198895-4 6.613105+5 3.200000-4 6.611608+5 3.206500-4 6.602986+5 3.206500-4 7.109223+5 3.240000-4 7.062169+5 3.273407-4 7.018567+5 3.349654-4 6.921368+5 3.350000-4 6.920929+5 3.427678-4 6.828949+5 3.436000-4 6.819154+5 3.467369-4 6.783601+5 3.507519-4 6.739605+5 3.548134-4 6.696799+5 3.589219-4 6.653764+5 3.600000-4 6.642517+5 3.672823-4 6.570596+5 3.715352-4 6.529473+5 3.758374-4 6.489157+5 3.801894-4 6.449670+5 3.845918-4 6.409925+5 3.850000-4 6.406226+5 3.907500-4 6.354298+5 3.907500-4 7.214162+5 3.935501-4 7.193503+5 3.950000-4 7.182796+5 4.000000-4 7.156644+5 4.015000-4 7.149343+5 4.020900-4 7.147612+5 4.020900-4 7.732672+5 4.023000-4 7.737515+5 4.027170-4 7.742781+5 4.030000-4 7.746367+5 4.040000-4 7.754209+5 4.055000-4 7.766729+5 4.058000-4 7.768685+5 4.073803-4 7.785147+5 4.075000-4 7.786949+5 4.090000-4 7.807125+5 4.100000-4 7.825450+5 4.101300-4 7.827746+5 4.115000-4 7.858573+5 4.120975-4 7.875594+5 4.130000-4 7.901671+5 4.145000-4 7.955697+5 4.153000-4 7.990188+5 4.158000-4 8.013358+5 4.168694-4 8.070339+5 4.170000-4 8.077469+5 4.173000-4 8.094727+5 4.185000-4 8.173334+5 4.190000-4 8.208934+5 4.200000-4 8.287594+5 4.215000-4 8.425987+5 4.216965-4 8.445680+5 4.220000-4 8.476503+5 4.230000-4 8.587239+5 4.240000-4 8.708303+5 4.245000-4 8.773739+5 4.260000-4 8.987993+5 4.265795-4 9.078181+5 4.270000-4 9.145438+5 4.275000-4 9.228155+5 4.290000-4 9.497475+5 4.307000-4 9.839730+5 4.315191-4 1.002049+6 4.320000-4 1.013057+6 4.323000-4 1.019885+6 4.340000-4 1.061502+6 4.343000-4 1.069391+6 4.365158-4 1.130052+6 4.390000-4 1.205245+6 4.410000-4 1.270736+6 4.415704-4 1.289967+6 4.430000-4 1.340643+6 4.450000-4 1.414169+6 4.458000-4 1.444499+6 4.466836-4 1.478741+6 4.470000-4 1.491328+6 4.480000-4 1.530865+6 4.492000-4 1.579754+6 4.500000-4 1.612443+6 4.518559-4 1.690897+6 4.523000-4 1.709695+6 4.540000-4 1.783076+6 4.550000-4 1.827465+6 4.565000-4 1.893899+6 4.570882-4 1.920225+6 4.580000-4 1.962041+6 4.590000-4 2.007649+6 4.600000-4 2.053511+6 4.615000-4 2.122282+6 4.623810-4 2.163086+6 4.630000-4 2.192357+6 4.640000-4 2.238344+6 4.665000-4 2.355901+6 4.677351-4 2.412005+6 4.690000-4 2.471236+6 4.700000-4 2.518048+6 4.720000-4 2.609541+6 4.731513-4 2.662248+6 4.750000-4 2.745158+6 4.760000-4 2.789700+6 4.780000-4 2.876800+6 4.786301-4 2.903857+6 4.790000-4 2.919879+6 4.810000-4 3.002824+6 4.835000-4 3.105948+6 4.841724-4 3.132573+6 4.870000-4 3.241625+6 4.880000-4 3.278977+6 4.897788-4 3.342699+6 4.910000-4 3.387163+6 4.920000-4 3.421717+6 4.957500-4 3.546642+6 4.963700-4 3.566259+6 5.011872-4 3.711928+6 5.060000-4 3.842033+6 5.069907-4 3.867800+6 5.080000-4 3.891732+6 5.100000-4 3.939599+6 5.128614-4 4.004956+6 5.135000-4 4.019674+6 5.150000-4 4.051029+6 5.188000-4 4.124852+6 5.190000-4 4.128756+6 5.210000-4 4.163792+6 5.248075-4 4.225212+6 5.260000-4 4.244603+6 5.308844-4 4.308411+6 5.320000-4 4.323095+6 5.370318-4 4.372895+6 5.400000-4 4.402421+6 5.432503-4 4.424408+6 5.480000-4 4.456579+6 5.500000-4 4.467557+6 5.559043-4 4.490829+6 5.580000-4 4.499096+6 5.623413-4 4.511278+6 5.688529-4 4.520384+6 5.690000-4 4.520591+6 5.754399-4 4.523070+6 5.821032-4 4.516889+6 5.888437-4 4.503963+6 5.900000-4 4.501727+6 5.956621-4 4.485239+6 6.000000-4 4.469343+6 6.025596-4 4.460044+6 6.050000-4 4.451243+6 6.095369-4 4.431234+6 6.100000-4 4.429203+6 6.165950-4 4.396260+6 6.200000-4 4.379488+6 6.237348-4 4.361258+6 6.280000-4 4.337373+6 6.309573-4 4.319199+6 6.456542-4 4.230872+6 6.500000-4 4.202801+6 6.531306-4 4.181197+6 6.683439-4 4.079246+6 6.700000-4 4.068411+6 6.760830-4 4.025795+6 6.839116-4 3.968978+6 7.000000-4 3.856611+6 7.079458-4 3.797228+6 7.161434-4 3.737576+6 7.244360-4 3.678799+6 7.300000-4 3.640147+6 7.351400-4 3.602104+6 7.351400-4 3.917698+6 7.478000-4 3.853785+6 7.481000-4 3.853571+6 7.498942-4 3.843009+6 7.585776-4 3.793015+6 7.630000-4 3.767234+6 7.650000-4 3.754841+6 7.673615-4 3.739568+6 7.701800-4 3.721471+6 7.781800-4 3.667091+6 7.781800-4 3.852647+6 7.800000-4 3.841569+6 7.852356-4 3.810137+6 7.970000-4 3.740554+6 8.000000-4 3.722968+6 8.030000-4 3.704916+6 8.035261-4 3.701616+6 8.222426-4 3.584340+6 8.280000-4 3.549756+6 8.317638-4 3.527216+6 8.320000-4 3.525811+6 8.413951-4 3.468768+6 8.511380-4 3.407889+6 8.609938-4 3.348303+6 8.709636-4 3.289989+6 8.780000-4 3.249952+6 8.810489-4 3.232508+6 9.015711-4 3.116937+6 9.120108-4 3.058532+6 9.332543-4 2.945362+6 9.440609-4 2.889268+6 9.500000-4 2.859060+6 9.549926-4 2.833837+6 9.772372-4 2.722852+6 9.885531-4 2.669264+6 9.930000-4 2.648257+6 1.000000-3 2.615564+6 1.011579-3 2.562442+6 1.023293-3 2.510537+6 1.030500-3 2.478919+6 1.030500-3 2.636109+6 1.035142-3 2.615391+6 1.047129-3 2.562811+6 1.059254-3 2.511450+6 1.071519-3 2.460774+6 1.083927-3 2.410539+6 1.090000-3 2.386554+6 1.096478-3 2.361248+6 1.110000-3 2.308855+6 1.122018-3 2.263923+6 1.130000-3 2.234893+6 1.135011-3 2.216813+6 1.148154-3 2.170501+6 1.150000-3 2.164016+6 1.161449-3 2.124497+6 1.170000-3 2.095591+6 1.174898-3 2.078988+6 1.188502-3 2.033955+6 1.202264-3 1.990030+6 1.216186-3 1.946796+6 1.230269-3 1.904389+6 1.244515-3 1.862467+6 1.264200-3 1.807010+6 1.264200-3 1.830545+6 1.273503-3 1.805272+6 1.274000-3 1.803907+6 1.288250-3 1.765491+6 1.300000-3 1.734578+6 1.318257-3 1.688047+6 1.348963-3 1.614245+6 1.350000-3 1.611846+6 1.364583-3 1.578355+6 1.380384-3 1.542814+6 1.396368-3 1.507635+6 1.412538-3 1.473358+6 1.419900-3 1.458173+6 1.419900-3 1.485353+6 1.428894-3 1.466967+6 1.445440-3 1.434057+6 1.450000-3 1.425201+6 1.462177-3 1.401736+6 1.479108-3 1.369621+6 1.496236-3 1.338335+6 1.500000-3 1.331610+6 1.513561-3 1.307562+6 1.515000-3 1.305049+6 1.531087-3 1.277509+6 1.548817-3 1.248151+6 1.566751-3 1.219338+6 1.570000-3 1.214227+6 1.584893-3 1.191074+6 1.610000-3 1.153631+6 1.621810-3 1.136536+6 1.640590-3 1.110163+6 1.650000-3 1.097190+6 1.659587-3 1.084211+6 1.698244-3 1.034126+6 1.717908-3 1.009887+6 1.730000-3 9.952743+5 1.737801-3 9.859454+5 1.778279-3 9.396255+5 1.800000-3 9.159516+5 1.819701-3 8.951511+5 1.840772-3 8.737199+5 1.862087-3 8.526789+5 1.883649-3 8.322002+5 1.905461-3 8.120385+5 1.927525-3 7.923995+5 1.950000-3 7.730549+5 1.972423-3 7.543344+5 2.000000-3 7.322554+5 2.018366-3 7.181123+5 2.030000-3 7.093057+5 2.065380-3 6.835124+5 2.089296-3 6.669030+5 2.113489-3 6.506100+5 2.150000-3 6.269959+5 2.187762-3 6.037985+5 2.213095-3 5.888067+5 2.220000-3 5.848209+5 2.264644-3 5.600350+5 2.290868-3 5.461409+5 2.317395-3 5.325685+5 2.344229-3 5.193686+5 2.350000-3 5.165861+5 2.371374-3 5.064103+5 2.388200-3 4.985659+5 2.398833-3 4.936855+5 2.426610-3 4.812810+5 2.454709-3 4.692063+5 2.483133-3 4.573846+5 2.511886-3 4.458882+5 2.540973-3 4.346524+5 2.570396-3 4.237137+5 2.600160-3 4.130757+5 2.630268-3 4.026216+5 2.650000-3 3.959342+5 2.691535-3 3.823929+5 2.722701-3 3.726862+5 2.754229-3 3.631823+5 2.786121-3 3.539413+5 2.818383-3 3.449242+5 2.851018-3 3.360732+5 2.900000-3 3.234287+5 2.917427-3 3.190784+5 2.951209-3 3.108976+5 2.985383-3 3.028971+5 3.000000-3 2.995677+5 3.019952-3 2.951127+5 3.054921-3 2.875311+5 3.126079-3 2.728804+5 3.162278-3 2.658006+5 3.198895-3 2.589201+5 3.235937-3 2.522041+5 3.273407-3 2.456602+5 3.311311-3 2.392673+5 3.400000-3 2.252263+5 3.427678-3 2.210561+5 3.507519-3 2.096249+5 3.548134-3 2.041510+5 3.555200-3 2.032098+5 3.555200-3 4.940798+5 3.589219-3 4.816556+5 3.596000-3 4.792313+5 3.630781-3 4.681581+5 3.672823-3 4.552548+5 3.695000-3 4.486493+5 3.715352-3 4.421647+5 3.736800-3 4.354733+5 3.736800-3 6.197133+5 3.758374-3 6.105207+5 3.763000-3 6.085745+5 3.801894-3 5.930856+5 3.845918-3 5.762093+5 3.860000-3 5.709491+5 3.890451-3 5.593634+5 3.900000-3 5.557984+5 3.935501-3 5.428117+5 4.000000-3 5.207606+5 4.027170-3 5.118454+5 4.073803-3 4.970360+5 4.120975-3 4.826328+5 4.168694-3 4.686552+5 4.216965-3 4.548904+5 4.265795-3 4.415253+5 4.289600-3 4.352091+5 4.289600-3 5.076355+5 4.315191-3 5.003063+5 4.319000-3 4.992270+5 4.365158-3 4.864031+5 4.415704-3 4.728856+5 4.466836-3 4.596237+5 4.518559-3 4.467471+5 4.623810-3 4.218017+5 4.677351-3 4.097940+5 4.731513-3 3.981389+5 4.786301-3 3.867438+5 4.800000-3 3.839680+5 4.841724-3 3.756771+5 4.897788-3 3.649233+5 4.954502-3 3.544788+5 5.011872-3 3.442941+5 5.181500-3 3.165257+5 5.181500-3 3.361109+5 5.188000-3 3.350878+5 5.300000-3 3.180286+5 5.308844-3 3.167348+5 5.370318-3 3.079490+5 5.432503-3 2.993787+5 5.450000-3 2.970294+5 5.495409-3 2.910400+5 5.500000-3 2.904442+5 5.521300-3 2.876757+5 5.521300-3 2.998701+5 5.559043-3 2.949480+5 5.568000-3 2.937974+5 5.623413-3 2.868248+5 5.690000-3 2.787527+5 5.700000-3 2.775732+5 5.754399-3 2.712593+5 5.800000-3 2.661290+5 5.821032-3 2.638027+5 5.888437-3 2.564975+5 5.956621-3 2.493660+5 6.000000-3 2.449911+5 6.025596-3 2.424619+5 6.095369-3 2.357365+5 6.100570-3 2.352453+5 6.165950-3 2.291967+5 6.237348-3 2.228248+5 6.300000-3 2.174462+5 6.309573-3 2.166411+5 6.382635-3 2.106397+5 6.500000-3 2.014340+5 6.531306-3 1.990679+5 6.606934-3 1.934848+5 6.683439-3 1.880650+5 6.760830-3 1.827990+5 6.800000-3 1.802191+5 6.839116-3 1.776954+5 6.918310-3 1.727415+5 6.928200-3 1.721344+5 6.998420-3 1.678999+5 7.000000-3 1.678064+5 7.079458-3 1.631966+5 7.161434-3 1.585987+5 7.244360-3 1.541218+5 7.300000-3 1.512213+5 7.328245-3 1.497690+5 7.498942-3 1.414109+5 7.500000-3 1.413612+5 7.585776-3 1.374134+5 7.650000-3 1.345471+5 7.673615-3 1.335133+5 7.762471-3 1.297100+5 7.800000-3 1.281512+5 7.852356-3 1.260172+5 7.943282-3 1.224308+5 8.035261-3 1.189416+5 8.128305-3 1.155574+5 8.222426-3 1.122671+5 8.317638-3 1.090764+5 8.413951-3 1.059816+5 8.511380-3 1.029701+5 8.709636-3 9.722084+4 8.810489-3 9.447425+4 8.912509-3 9.180844+4 9.015711-3 8.920254+4 9.120108-3 8.664120+4 9.225714-3 8.414980+4 9.332543-3 8.173139+4 9.440609-3 7.937010+4 9.500000-3 7.811441+4 9.660509-3 7.486069+4 9.772372-3 7.269955+4 9.800000-3 7.217969+4 9.885531-3 7.060392+4 1.000000-2 6.856966+4 1.011579-2 6.659438+4 1.023293-2 6.467365+4 1.047129-2 6.100262+4 1.060000-2 5.914427+4 1.080000-2 5.640530+4 1.083927-2 5.588852+4 1.096478-2 5.427817+4 1.109175-2 5.271644+4 1.122018-2 5.120242+4 1.135011-2 4.973305+4 1.148154-2 4.828284+4 1.150000-2 4.808406+4 1.174898-2 4.551230+4 1.188502-2 4.419039+4 1.190000-2 4.404822+4 1.202264-2 4.290552+4 1.216186-2 4.165465+4 1.230269-2 4.044221+4 1.244515-2 3.926705+4 1.258925-2 3.812164+4 1.273503-2 3.701134+4 1.288250-2 3.593409+4 1.300000-2 3.510730+4 1.318257-2 3.387509+4 1.333521-2 3.289087+4 1.348963-2 3.192910+4 1.350000-2 3.186596+4 1.380384-2 3.009245+4 1.396368-2 2.921599+4 1.412538-2 2.836633+4 1.428894-2 2.754255+4 1.445440-2 2.673436+4 1.450000-2 2.651760+4 1.462177-2 2.594875+4 1.500000-2 2.428690+4 1.531087-2 2.303018+4 1.548817-2 2.235299+4 1.566751-2 2.169677+4 1.584893-2 2.106078+4 1.603245-2 2.044407+4 1.621810-2 1.984601+4 1.640590-2 1.926319+4 1.659587-2 1.869716+4 1.678804-2 1.814696+4 1.698244-2 1.761159+4 1.718200-2 1.708373+4 1.718200-2 4.060848+4 1.737801-2 3.949038+4 1.750000-2 3.881663+4 1.757924-2 3.835397+4 1.778279-2 3.719941+4 1.819701-2 3.499533+4 1.840772-2 3.392895+4 1.862087-2 3.289388+4 1.883649-2 3.188970+4 1.905461-2 3.091677+4 1.972423-2 2.817411+4 1.995262-2 2.731418+4 2.000000-2 2.714037+4 2.018366-2 2.647230+4 2.041738-2 2.565457+4 2.065380-2 2.486244+4 2.089296-2 2.409505+4 2.104400-2 2.362604+4 2.104400-2 3.343074+4 2.113489-2 3.306354+4 2.150000-2 3.164206+4 2.162719-2 3.115469+4 2.176800-2 3.062715+4 2.176800-2 3.536207+4 2.187762-2 3.491575+4 2.215000-2 3.384089+4 2.220000-2 3.365360+4 2.230000-2 3.327984+4 2.264644-2 3.200257+4 2.290868-2 3.109193+4 2.310000-2 3.045513+4 2.317395-2 3.021065+4 2.344229-2 2.934607+4 2.371374-2 2.850669+4 2.398833-2 2.769972+4 2.400000-2 2.766615+4 2.426610-2 2.690693+4 2.454709-2 2.613691+4 2.483133-2 2.538249+4 2.511886-2 2.464315+4 2.600160-2 2.255446+4 2.630268-2 2.189948+4 2.660725-2 2.126407+4 2.691535-2 2.064676+4 2.722701-2 2.004780+4 2.730000-2 1.991087+4 2.754229-2 1.946375+4 2.786121-2 1.889780+4 2.800000-2 1.865872+4 2.851018-2 1.781575+4 2.884032-2 1.729842+4 2.917427-2 1.679659+4 2.951209-2 1.630614+4 2.985383-2 1.583030+4 3.000000-2 1.563279+4 3.019952-2 1.536692+4 3.054921-2 1.491614+4 3.090295-2 1.447884+4 3.126079-2 1.405371+4 3.162278-2 1.364140+4 3.198895-2 1.324137+4 3.235937-2 1.285318+4 3.273407-2 1.247660+4 3.311311-2 1.210656+4 3.349654-2 1.174781+4 3.388442-2 1.139789+4 3.427678-2 1.105838+4 3.467369-2 1.072922+4 3.507519-2 1.041012+4 3.548134-2 1.010065+4 3.589219-2 9.800222+3 3.630781-2 9.508650+3 3.672823-2 9.225951+3 3.758374-2 8.685989+3 3.801894-2 8.428160+3 3.845918-2 8.178130+3 3.981072-2 7.472772+3 4.000000-2 7.380906+3 4.027170-2 7.250950+3 4.073803-2 7.035098+3 4.120975-2 6.825830+3 4.168694-2 6.621487+3 4.216965-2 6.422085+3 4.265795-2 6.228735+3 4.315191-2 6.041348+3 4.365158-2 5.859741+3 4.466836-2 5.513034+3 4.518559-2 5.347644+3 4.570882-2 5.187273+3 4.623810-2 5.031212+3 4.677351-2 4.879954+3 4.786301-2 4.591251+3 4.800000-2 4.556656+3 4.841724-2 4.453306+3 4.897788-2 4.319410+3 4.954502-2 4.189590+3 5.011872-2 4.063755+3 5.128614-2 3.822381+3 5.188000-2 3.706730+3 5.248075-2 3.594641+3 5.370318-2 3.380773+3 5.432503-2 3.278752+3 5.495409-2 3.179189+3 5.623413-2 2.989235+3 5.688529-2 2.898482+3 5.754399-2 2.810465+3 5.821032-2 2.725149+3 5.956621-2 2.562370+3 6.025596-2 2.484742+3 6.165950-2 2.336582+3 6.237348-2 2.265920+3 6.309573-2 2.197187+3 6.456542-2 2.065638+3 6.531306-2 2.002898+3 6.606934-2 1.941722+3 6.683439-2 1.882346+3 6.760830-2 1.824819+3 6.839116-2 1.769038+3 6.998420-2 1.662614+3 7.079458-2 1.611875+3 7.161434-2 1.562715+3 7.244360-2 1.515083+3 7.328245-2 1.468923+3 7.413102-2 1.424197+3 7.498942-2 1.380859+3 7.673615-2 1.298172+3 7.762471-2 1.258542+3 7.852356-2 1.220131+3 7.943282-2 1.182781+3 8.000000-2 1.160233+3 8.035261-2 1.146505+3 8.128305-2 1.111348+3 8.222426-2 1.077289+3 8.511380-2 9.812743+2 8.609938-2 9.512454+2 8.810489-2 8.939670+2 8.912509-2 8.665294+2 9.120108-2 8.141966+2 9.332543-2 7.650706+2 9.440609-2 7.416256+2 9.660509-2 6.968921+2 1.000000-1 6.348799+2 1.011580-1 6.154672+2 1.023293-1 5.966597+2 1.035142-1 5.783462+2 1.047129-1 5.605787+2 1.059254-1 5.433656+2 1.071519-1 5.266895+2 1.083927-1 5.105318+2 1.109175-1 4.796993+2 1.122019-1 4.649975+2 1.135011-1 4.507531+2 1.148154-1 4.369512+2 1.161100-1 4.239225+2 1.161100-1 1.801238+3 1.161449-1 1.799865+3 1.174898-1 1.748054+3 1.188502-1 1.697744+3 1.202264-1 1.648888+3 1.207000-1 1.635702+3 1.216186-1 1.603871+3 1.244515-1 1.510859+3 1.250000-1 1.493721+3 1.258925-1 1.467523+3 1.303167-1 1.346759+3 1.318257-1 1.308768+3 1.333521-1 1.270457+3 1.348963-1 1.233268+3 1.364583-1 1.197174+3 1.396368-1 1.128136+3 1.445440-1 1.031998+3 1.450000-1 1.023652+3 1.496236-1 9.449062+2 1.500000-1 9.388726+2 1.513561-1 9.175514+2 1.531088-1 8.909829+2 1.548817-1 8.651884+2 1.566751-1 8.401444+2 1.603245-1 7.922181+2 1.640590-1 7.470528+2 1.659587-1 7.254493+2 1.678804-1 7.042322+2 1.717908-1 6.636478+2 1.778279-1 6.071267+2 1.798871-1 5.893805+2 1.819701-1 5.721549+2 1.862087-1 5.392043+2 1.883649-1 5.235167+2 1.927525-1 4.935017+2 1.949845-1 4.791479+2 1.972423-1 4.652131+2 2.000000-1 4.489476+2 2.041738-1 4.258119+2 2.065380-1 4.134403+2 2.089296-1 4.014293+2 2.113489-1 3.897759+2 2.162719-1 3.674773+2 2.213095-1 3.464579+2 2.213400-1 3.463358+2 2.238721-1 3.364048+2 2.290868-1 3.171670+2 2.317395-1 3.079670+2 2.344229-1 2.990345+2 2.371374-1 2.903661+2 2.398833-1 2.819497+2 2.426610-1 2.737778+2 2.483133-1 2.581397+2 2.511886-1 2.506598+2 2.540973-1 2.434021+2 2.570396-1 2.363563+2 2.600160-1 2.295935+2 2.630268-1 2.230270+2 2.660725-1 2.166486+2 2.691535-1 2.104531+2 2.722701-1 2.044360+2 2.786121-1 1.929199+2 2.818383-1 1.874080+2 2.851018-1 1.820541+2 2.884032-1 1.768534+2 2.917427-1 1.718017+2 2.951209-1 1.669021+2 2.985383-1 1.621459+2 3.000000-1 1.601695+2 3.019952-1 1.575257+2 3.054921-1 1.530382+2 3.090295-1 1.486788+2 3.126079-1 1.445041+2 3.162278-1 1.404495+2 3.198895-1 1.365091+2 3.235937-1 1.326806+2 3.273407-1 1.289601+2 3.311311-1 1.253442+2 3.388442-1 1.184143+2 3.427678-1 1.150947+2 3.467369-1 1.118711+2 3.507519-1 1.087379+2 3.548134-1 1.056927+2 3.589219-1 1.027396+2 3.630781-1 9.986973+1 3.672823-1 9.712378+1 3.715352-1 9.445344+1 3.758374-1 9.185664+1 3.801894-1 8.933148+1 3.845918-1 8.687585+1 3.890451-1 8.448884+1 3.935501-1 8.216774+1 4.000000-1 7.900159+1 4.027170-1 7.772015+1 4.073803-1 7.558845+1 4.120975-1 7.351606+1 4.168694-1 7.153861+1 4.216965-1 6.961448+1 4.265795-1 6.774574+1 4.315191-1 6.592730+1 4.365158-1 6.415779+1 4.415705-1 6.243582+1 4.466836-1 6.076018+1 4.472100-1 6.059142+1 4.518559-1 5.913196+1 4.570882-1 5.754829+1 4.623810-1 5.600752+1 4.677351-1 5.450840+1 4.731513-1 5.304943+1 4.786301-1 5.165523+1 4.897788-1 4.897598+1 4.954502-1 4.769186+1 5.011872-1 4.644149+1 5.069907-1 4.522464+1 5.128614-1 4.404105+1 5.188000-1 4.288850+1 5.248075-1 4.176673+1 5.308844-1 4.067466+1 5.370318-1 3.961132+1 5.432503-1 3.859565+1 5.495409-1 3.760603+1 5.559043-1 3.664184+1 5.623413-1 3.570296+1 5.688529-1 3.478831+1 5.754399-1 3.389992+1 5.821032-1 3.303425+1 5.888437-1 3.219069+1 5.956621-1 3.136877+1 6.025596-1 3.056804+1 6.095369-1 2.978821+1 6.165950-1 2.904570+1 6.237348-1 2.832214+1 6.309573-1 2.761662+1 6.382635-1 2.692879+1 6.456542-1 2.625890+1 6.531306-1 2.560569+1 6.606935-1 2.497026+1 6.623700-1 2.483252+1 6.683439-1 2.435062+1 6.760830-1 2.374653+1 6.839117-1 2.315744+1 6.918310-1 2.258322+1 6.998420-1 2.203491+1 7.079458-1 2.150009+1 7.161434-1 2.097826+1 7.244360-1 2.046965+1 7.328245-1 1.997341+1 7.413102-1 1.948921+1 7.498942-1 1.901676+1 7.585776-1 1.855590+1 7.673615-1 1.810738+1 7.762471-1 1.766971+1 7.852356-1 1.724267+1 7.943282-1 1.682598+1 8.000000-1 1.657899+1 8.035261-1 1.642814+1 8.128305-1 1.604012+1 8.222427-1 1.566134+1 8.413951-1 1.493042+1 8.511380-1 1.457787+1 8.609938-1 1.423365+1 8.709636-1 1.389890+1 8.810489-1 1.357208+1 8.912509-1 1.325297+1 9.015711-1 1.294136+1 9.120108-1 1.263730+1 9.225714-1 1.234040+1 9.332543-1 1.205759+1 9.440609-1 1.178135+1 9.549926-1 1.151156+1 9.660509-1 1.124795+1 9.772372-1 1.099038+1 9.885531-1 1.073963+1 1.000000+0 1.049466+1 1.011579+0 1.025571+1 1.023293+0 1.002233+1 1.035142+0 9.798520+0 1.047129+0 9.579717+0 1.059254+0 9.365967+0 1.071519+0 9.157037+0 1.083927+0 8.952765+0 1.096478+0 8.753062+0 1.109175+0 8.558065+0 1.122018+0 8.367429+0 1.135011+0 8.181022+0 1.148154+0 7.998955+0 1.161449+0 7.821000+0 1.174898+0 7.647004+0 1.188502+0 7.476889+0 1.202264+0 7.310990+0 1.216186+0 7.148958+0 1.230269+0 6.994459+0 1.244515+0 6.843333+0 1.250000+0 6.786514+0 1.258925+0 6.695607+0 1.273503+0 6.551115+0 1.288250+0 6.409751+0 1.303167+0 6.271445+0 1.318257+0 6.136122+0 1.333521+0 6.003724+0 1.348963+0 5.874717+0 1.364583+0 5.748491+0 1.380384+0 5.628132+0 1.396368+0 5.510373+0 1.412538+0 5.395094+0 1.428894+0 5.282265+0 1.513561+0 4.752570+0 1.531087+0 4.653525+0 1.548817+0 4.556689+0 1.566751+0 4.464437+0 1.640590+0 4.113789+0 1.659587+0 4.030541+0 1.698244+0 3.869074+0 1.717908+0 3.790786+0 1.737801+0 3.714358+0 1.757924+0 3.639542+0 1.778279+0 3.568239+0 1.798871+0 3.498346+0 1.819701+0 3.429823+0 1.840772+0 3.362643+0 1.862087+0 3.296779+0 1.883649+0 3.232224+0 1.905461+0 3.168936+0 1.927525+0 3.106890+0 1.949845+0 3.046057+0 1.972423+0 2.986634+0 2.000000+0 2.916576+0 2.018366+0 2.872599+0 2.044000+0 2.812986+0 2.065380+0 2.764767+0 2.113489+0 2.660984+0 2.137962+0 2.610578+0 2.187762+0 2.512619+0 2.213095+0 2.465027+0 2.238721+0 2.418513+0 2.264644+0 2.372881+0 2.290868+0 2.328146+0 2.317395+0 2.285455+0 2.344229+0 2.243556+0 2.371374+0 2.202425+0 2.426610+0 2.122412+0 2.454709+0 2.083514+0 2.511886+0 2.007849+0 2.540973+0 1.971053+0 2.570396+0 1.935067+0 2.600160+0 1.899744+0 2.630268+0 1.865093+0 2.660725+0 1.832018+0 2.691535+0 1.799536+0 2.722701+0 1.767631+0 2.786121+0 1.705507+0 2.818383+0 1.675277+0 2.884032+0 1.616420+0 2.917427+0 1.587773+0 2.951209+0 1.559736+0 3.000000+0 1.520662+0 3.054921+0 1.478604+0 3.090295+0 1.453230+0 3.126079+0 1.428297+0 3.162278+0 1.403792+0 3.235937+0 1.356036+0 3.273407+0 1.332778+0 3.349654+0 1.287455+0 3.388442+0 1.265374+0 3.427678+0 1.243755+0 3.467369+0 1.222508+0 3.548134+0 1.181130+0 3.589219+0 1.161520+0 3.630781+0 1.142239+0 3.672823+0 1.123279+0 3.758374+0 1.086299+0 3.801894+0 1.068272+0 3.890451+0 1.033116+0 3.935501+0 1.015973+0 4.000000+0 9.923429-1 4.027170+0 9.826668-1 4.120975+0 9.504814-1 4.168694+0 9.352174-1 4.216965+0 9.202017-1 4.265795+0 9.054271-1 4.365158+0 8.765861-1 4.415704+0 8.625161-1 4.570882+0 8.216493-1 4.623810+0 8.084622-1 4.677351+0 7.955368-1 4.731513+0 7.828196-1 4.841724+0 7.580122-1 4.897788+0 7.462368-1 4.954502+0 7.346466-1 5.011872+0 7.232366-1 5.128614+0 7.009454-1 5.188000+0 6.900621-1 5.370318+0 6.584176-1 5.432503+0 6.481954-1 5.495409+0 6.381318-1 5.559043+0 6.282620-1 5.623413+0 6.185463-1 5.754399+0 5.995783-1 5.821032+0 5.905645-1 5.888437+0 5.816881-1 5.956621+0 5.729454-1 6.095369+0 5.558520-1 6.165950+0 5.474999-1 6.382635+0 5.231911-1 6.456542+0 5.153305-1 6.531306+0 5.075879-1 6.606934+0 4.999887-1 6.683439+0 4.925041-1 6.839116+0 4.778803-1 6.918310+0 4.709104-1 6.998420+0 4.640423-1 7.000000+0 4.639086-1 7.079458+0 4.572756-1 7.161434+0 4.506076-1 7.328245+0 4.375621-1 7.413102+0 4.311835-1 7.673615+0 4.126013-1 7.762471+0 4.065870-1 7.852356+0 4.006604-1 8.000000+0 3.912886-1 8.035261+0 3.891084-1 8.222427+0 3.778995-1 8.317638+0 3.725664-1 8.413951+0 3.673085-1 8.511380+0 3.621259-1 8.609938+0 3.570163-1 8.810489+0 3.470126-1 8.912509+0 3.421178-1 9.225714+0 3.278447-1 9.440609+0 3.186617-1 9.549926+0 3.141671-1 9.772372+0 3.053966-1 1.011579+1 2.927083-1 1.023293+1 2.886965-1 1.035142+1 2.847398-1 1.047129+1 2.808378-1 1.059254+1 2.769896-1 1.083927+1 2.694506-1 1.096478+1 2.657585-1 1.100000+1 2.647393-1 1.109175+1 2.621177-1 1.148154+1 2.514929-1 1.174898+1 2.446501-1 1.188502+1 2.412991-1 1.202264+1 2.380045-1 1.216186+1 2.347552-1 1.258925+1 2.252780-1 1.273503+1 2.222796-1 1.288250+1 2.193210-1 1.303167+1 2.164026-1 1.318257+1 2.135229-1 1.348963+1 2.078780-1 1.364583+1 2.051119-1 1.380384+1 2.023825-1 1.428894+1 1.944129-1 1.445440+1 1.918267-1 1.462177+1 1.892819-1 1.479108+1 1.867710-1 1.566751+1 1.747133-1 1.584893+1 1.723988-1 1.621810+1 1.679526-1 1.659587+1 1.636211-1 1.698244+1 1.594021-1 1.737801+1 1.552919-1 1.757924+1 1.532767-1 1.778279+1 1.512878-1 1.800000+1 1.492189-1 1.819701+1 1.473880-1 1.905461+1 1.399159-1 1.927525+1 1.381079-1 1.949845+1 1.363244-1 2.041738+1 1.295231-1 2.213095+1 1.184270-1 2.317395+1 1.125195-1 2.344229+1 1.110893-1 2.371374+1 1.096772-1 2.398833+1 1.082835-1 2.400000+1 1.082250-1 2.426610+1 1.069121-1 2.454709+1 1.055582-1 2.600160+1 9.916044-2 3.054921+1 8.323561-2 3.162278+1 8.017137-2 3.198895+1 7.917525-2 3.235937+1 7.819148-2 3.273407+1 7.722020-2 3.311311+1 7.626390-2 3.349654+1 7.531947-2 3.548134+1 7.084828-2 4.315191+1 5.753931-2 4.518559+1 5.479047-2 4.570882+1 5.412402-2 4.623810+1 5.346568-2 4.677351+1 5.281550-2 4.731513+1 5.217466-2 4.786301+1 5.154190-2 4.841724+1 5.091682-2 5.128614+1 4.794939-2 6.456542+1 3.771118-2 6.839116+1 3.551359-2 6.918310+1 3.508968-2 6.998420+1 3.467084-2 7.079458+1 3.425701-2 7.161434+1 3.384818-2 7.244360+1 3.344500-2 7.328245+1 3.304678-2 7.413102+1 3.265330-2 7.498942+1 3.226941-2 8.035261+1 3.006013-2 1.083927+2 2.210668-2 1.188502+2 2.011222-2 1.202264+2 1.987591-2 1.216186+2 1.964238-2 1.230269+2 1.941158-2 1.244515+2 1.918351-2 1.258925+2 1.895816-2 1.273503+2 1.873544-2 1.288250+2 1.851562-2 1.303167+2 1.829843-2 1.318257+2 1.808386-2 1.364583+2 1.745512-2 1.380384+2 1.725249-2 1.479108+2 1.608557-2 1.905461+2 1.244269-2 2.238721+2 1.056694-2 2.317395+2 1.020334-2 2.371374+2 9.967915-3 2.398833+2 9.852250-3 2.454709+2 9.624929-3 2.483133+2 9.513246-3 2.511886+2 9.402866-3 2.540973+2 9.293763-3 2.570396+2 9.186003-3 2.600160+2 9.079503-3 2.630268+2 8.974257-3 2.722701+2 8.665781-3 2.754229+2 8.565836-3 2.951209+2 7.990046-3 3.801894+2 6.190710-3 4.466836+2 5.262940-3 4.623810+2 5.082984-3 4.731513+2 4.966444-3 4.786301+2 4.909180-3 4.897788+2 4.796626-3 4.954502+2 4.741321-3 5.011872+2 4.686657-3 5.069907+2 4.632622-3 5.128614+2 4.579239-3 5.188000+2 4.526476-3 5.248075+2 4.474327-3 5.432503+2 4.321460-3 5.495409+2 4.271863-3 5.888437+2 3.986057-3 1.513561+3 1.547162-3 1.778279+3 1.316331-3 1.840772+3 1.271536-3 1.883649+3 1.242522-3 1.905461+3 1.228265-3 1.949845+3 1.200239-3 1.972423+3 1.186466-3 1.995262+3 1.172853-3 2.018366+3 1.159395-3 2.041738+3 1.146094-3 2.065380+3 1.132947-3 2.089296+3 1.119951-3 2.162719+3 1.081851-3 2.187762+3 1.069461-3 2.344229+3 9.980503-4 1.000000+5 2.335955-5 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.130000-6 4.130000-6 4.740000-6 4.130000-6 4.740000-6 4.319964-6 5.780000-6 4.341845-6 5.780000-6 5.023423-6 6.500000-6 4.889049-6 7.200000-6 4.787929-6 7.950000-6 4.706913-6 7.950000-6 4.761689-6 8.910000-6 4.700079-6 8.910000-6 4.747577-6 9.930000-6 4.726543-6 1.100000-5 4.741929-6 1.188502-5 4.780251-6 1.290000-5 4.852866-6 1.364583-5 4.924876-6 1.479108-5 5.067053-6 1.584893-5 5.230761-6 1.717908-5 5.477692-6 1.905461-5 5.877177-6 2.150000-5 6.417358-6 2.317395-5 6.752427-6 2.457000-5 6.994895-6 2.457000-5 1.933312-5 2.951209-5 1.668834-5 3.162278-5 1.564486-5 3.350000-5 1.481088-5 3.409000-5 1.456637-5 3.409000-5 2.106552-5 3.981072-5 1.863522-5 4.315191-5 1.732859-5 4.623810-5 1.626342-5 4.841724-5 1.559989-5 5.069907-5 1.499174-5 5.223000-5 1.462547-5 5.223000-5 1.565347-5 5.432503-5 1.513182-5 5.580000-5 1.480544-5 5.800000-5 1.438765-5 6.025596-5 1.403197-5 6.309573-5 1.367496-5 6.650000-5 1.335548-5 7.000000-5 1.311834-5 7.413102-5 1.293708-5 7.852356-5 1.283329-5 8.317638-5 1.280302-5 8.810489-5 1.285461-5 9.332543-5 1.299740-5 9.885531-5 1.323927-5 1.040200-4 1.354686-5 1.040200-4 4.559102-5 1.041400-4 4.641458-5 1.051000-4 5.170253-5 1.059254-4 5.592625-5 1.063000-4 5.771018-5 1.068500-4 6.015704-5 1.074000-4 6.240046-5 1.080000-4 6.461493-5 1.085000-4 6.629894-5 1.091000-4 6.810143-5 1.100000-4 7.038259-5 1.110000-4 7.246185-5 1.115000-4 7.333393-5 1.123500-4 7.456072-5 1.123500-4 7.945950-5 1.140000-4 8.248863-5 1.157000-4 8.508150-5 1.175000-4 8.728454-5 1.190000-4 8.870364-5 1.208000-4 8.994628-5 1.230269-4 9.094062-5 1.265000-4 9.174420-5 1.365000-4 9.259157-5 1.513561-4 9.325946-5 1.660000-4 9.326764-5 1.800000-4 9.268792-5 1.915000-4 9.160376-5 2.030000-4 8.985841-5 2.033900-4 8.978843-5 2.033900-4 1.049188-4 2.170000-4 1.044764-4 2.317395-4 1.031728-4 2.593800-4 9.983757-5 2.593800-4 1.156141-4 2.754229-4 1.127930-4 2.951209-4 1.088420-4 3.180000-4 1.051822-4 3.206500-4 1.048272-4 3.206500-4 1.125079-4 3.467369-4 1.097283-4 3.715352-4 1.078357-4 3.907500-4 1.068238-4 3.907500-4 1.177794-4 4.020900-4 1.178634-4 4.020900-4 1.240408-4 4.101300-4 1.254893-4 4.145000-4 1.269565-4 4.185000-4 1.291403-4 4.220000-4 1.318722-4 4.260000-4 1.359366-4 4.315191-4 1.427371-4 4.410000-4 1.550862-4 4.470000-4 1.618304-4 4.523000-4 1.667830-4 4.590000-4 1.717854-4 4.665000-4 1.760279-4 4.760000-4 1.798469-4 4.880000-4 1.829651-4 5.011872-4 1.850997-4 5.210000-4 1.869509-4 5.559043-4 1.883954-4 6.237348-4 1.891622-4 7.351400-4 1.890097-4 7.351400-4 1.997913-4 7.585776-4 2.014879-4 7.781800-4 2.022486-4 7.781800-4 2.082667-4 8.413951-4 2.111450-4 1.030500-3 2.173875-4 1.030500-3 2.289469-4 1.264200-3 2.369639-4 1.264200-3 2.401046-4 1.419900-3 2.453742-4 1.419900-3 2.502743-4 1.737801-3 2.605253-4 2.113489-3 2.703636-4 2.540973-3 2.794964-4 3.054921-3 2.883623-4 3.555200-3 2.954070-4 3.555200-3 4.323958-4 3.736800-3 4.323003-4 3.736800-3 4.597230-4 4.289600-3 4.594524-4 4.289600-3 4.943572-4 5.181500-3 4.994261-4 5.181500-3 5.171957-4 5.521300-3 5.204923-4 5.521300-3 5.356974-4 7.328245-3 5.547713-4 9.500000-3 5.729508-4 1.216186-2 5.901512-4 1.548817-2 6.065523-4 1.718200-2 6.133719-4 1.718200-2 7.413512-4 2.104400-2 7.455832-4 2.104400-2 7.909298-4 2.176800-2 7.918524-4 2.176800-2 8.471721-4 3.000000-2 8.677186-4 4.168694-2 8.880370-4 5.821032-2 9.079645-4 8.000000-2 9.259610-4 1.109175-1 9.429374-4 1.161100-1 9.451872-4 1.161100-1 8.678527-4 2.851018-1 8.732417-4 7.852356-1 8.760827-4 1.000000+5 8.763340-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.130000-6 0.0 2.033900-4 0.0 2.033900-4 2.114069-9 2.095000-4 2.206626-9 2.162719-4 2.292846-9 2.220000-4 2.350494-9 2.270000-4 2.387365-9 2.317395-4 2.410059-9 2.426610-4 2.438708-9 2.511886-4 2.440433-9 2.593800-4 2.432258-9 2.593800-4 4.440670-9 2.691535-4 4.336991-9 2.754229-4 4.241684-9 2.951209-4 3.885083-9 3.126079-4 3.607807-9 3.206500-4 3.490181-9 3.206500-4 3.841938-9 3.350000-4 3.668593-9 3.467369-4 3.539606-9 3.600000-4 3.409009-9 3.758374-4 3.274730-9 3.850000-4 3.205523-9 3.907500-4 3.167407-9 3.907500-4 1.609518-8 3.950000-4 1.621733-8 4.020900-4 1.662366-8 4.020900-4 1.835420-8 4.058000-4 1.881167-8 4.075000-4 1.911471-8 4.090000-4 1.945261-8 4.101300-4 1.976960-8 4.115000-4 2.022879-8 4.130000-4 2.083805-8 4.145000-4 2.156604-8 4.158000-4 2.229982-8 4.173000-4 2.327253-8 4.190000-4 2.454446-8 4.200000-4 2.537584-8 4.220000-4 2.722578-8 4.240000-4 2.930604-8 4.270000-4 3.279336-8 4.290000-4 3.528114-8 4.343000-4 4.215122-8 4.365158-4 4.492695-8 4.390000-4 4.787020-8 4.415704-4 5.066521-8 4.430000-4 5.212196-8 4.458000-4 5.470066-8 4.480000-4 5.652297-8 4.500000-4 5.802960-8 4.523000-4 5.960617-8 4.550000-4 6.127107-8 4.590000-4 6.335347-8 4.640000-4 6.545594-8 4.677351-4 6.671954-8 4.731513-4 6.815692-8 4.790000-4 6.925676-8 4.870000-4 7.028212-8 4.963700-4 7.107405-8 5.100000-4 7.180928-8 5.260000-4 7.227367-8 5.623413-4 7.265471-8 6.309573-4 7.261874-8 7.351400-4 7.209699-8 7.351400-4 7.380856-8 7.781800-4 7.397294-8 7.781800-4 8.350718-8 8.035261-4 8.467381-8 8.413951-4 8.590019-8 9.015711-4 8.734380-8 1.030500-3 9.002206-8 1.030500-3 1.124892-7 1.264200-3 1.204647-7 1.264200-3 1.258616-7 1.419900-3 1.318702-7 1.419900-3 1.424117-7 1.659587-3 1.527153-7 1.927525-3 1.630812-7 2.264644-3 1.747438-7 2.570396-3 1.842489-7 3.019952-3 1.966925-7 3.507519-3 2.085071-7 3.555200-3 2.095927-7 3.555200-3 2.560286-7 3.736800-3 2.573350-7 3.736800-3 4.907755-5 3.860000-3 4.916122-5 3.935501-3 4.896951-5 4.289600-3 4.878962-5 4.289600-3 4.894961-5 4.800000-3 4.870295-5 5.181500-3 4.840914-5 5.181500-3 5.416450-5 5.521300-3 5.451230-5 5.521300-3 5.554576-5 6.928200-3 5.690771-5 9.120108-3 5.853843-5 1.150000-2 5.990296-5 1.500000-2 6.141457-5 1.718200-2 6.216846-5 1.718200-2 3.764997-3 1.757924-2 3.771180-3 2.104400-2 3.729551-3 2.104400-2 5.517983-3 2.176800-2 5.532027-3 2.176800-2 5.792268-3 2.660725-2 5.856010-3 3.311311-2 5.910338-3 4.623810-2 5.958268-3 7.161434-2 5.991474-3 1.161100-1 6.004335-3 1.161100-1 8.126545-2 1.396368-1 8.196446-2 1.819701-1 8.268976-2 2.722701-1 8.342677-2 5.248075-1 8.432616-2 9.120108-1 8.500842-2 1.698244+0 8.507467-2 1.000000+5 8.507585-2 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.130000-6 0.0 4.740000-6 6.100000-7 4.740000-6 4.200363-7 5.188000-6 8.567438-7 5.780000-6 1.438155-6 5.780000-6 7.565770-7 6.025596-6 1.051598-6 6.500000-6 1.610951-6 7.000000-6 2.186227-6 7.700000-6 2.968796-6 7.950000-6 3.243087-6 7.950000-6 3.188311-6 8.770000-6 4.063278-6 8.910000-6 4.209921-6 8.910000-6 4.162423-6 9.930000-6 5.203457-6 1.100000-5 6.258071-6 1.230269-5 7.496153-6 1.364583-5 8.720954-6 1.531087-5 1.016699-5 1.717908-5 1.170139-5 2.270000-5 1.603783-5 2.457000-5 1.757510-5 2.457000-5 5.236882-6 2.660725-5 8.367265-6 2.900000-5 1.204820-5 3.019952-5 1.386366-5 3.162278-5 1.597792-5 3.350000-5 1.868912-5 3.409000-5 1.952363-5 3.409000-5 1.302448-5 3.650000-5 1.646190-5 4.000000-5 2.144070-5 4.315191-5 2.582332-5 4.650000-5 3.031944-5 5.011872-5 3.498225-5 5.223000-5 3.760453-5 5.223000-5 3.657653-5 5.580000-5 4.099456-5 6.025596-5 4.622399-5 6.650000-5 5.314452-5 7.500000-5 6.208892-5 8.609938-5 7.327383-5 1.000000-4 8.669921-5 1.040200-4 9.047314-5 1.040200-4 5.842898-5 1.041400-4 5.772542-5 1.051000-4 5.339747-5 1.059254-4 4.999915-5 1.063000-4 4.858982-5 1.068500-4 4.669296-5 1.074000-4 4.499954-5 1.080000-4 4.338507-5 1.085000-4 4.220106-5 1.091000-4 4.099857-5 1.097000-4 4.001316-5 1.103000-4 3.922438-5 1.110000-4 3.853815-5 1.115000-4 3.816607-5 1.123500-4 3.778928-5 1.123500-4 3.289050-5 1.127000-4 3.253222-5 1.140000-4 3.151137-5 1.152000-4 3.083131-5 1.163000-4 3.042050-5 1.175000-4 3.021546-5 1.188502-4 3.027365-5 1.197000-4 3.046135-5 1.208000-4 3.085372-5 1.221000-4 3.150947-5 1.236000-4 3.247874-5 1.258925-4 3.424910-5 1.288250-4 3.681000-5 1.372400-4 4.459483-5 1.480000-4 5.482322-5 1.603245-4 6.698804-5 1.740000-4 8.097963-5 1.865000-4 9.434384-5 1.990000-4 1.084599-4 2.033900-4 1.136016-4 2.033900-4 9.846912-5 2.170000-4 1.125213-4 2.317395-4 1.285643-4 2.593800-4 1.595400-4 2.593800-4 1.437614-4 2.786121-4 1.664553-4 3.030000-4 1.954846-4 3.206500-4 2.158193-4 3.206500-4 2.081382-4 3.589219-4 2.502090-4 3.907500-4 2.839230-4 3.907500-4 2.729545-4 4.020900-4 2.842100-4 4.020900-4 2.780308-4 4.120975-4 2.860151-4 4.185000-4 2.893356-4 4.245000-4 2.901667-4 4.323000-4 2.884935-4 4.430000-4 2.854798-4 4.500000-4 2.851962-4 4.580000-4 2.868186-4 4.677351-4 2.910699-4 4.790000-4 2.981564-4 4.963700-4 3.118668-4 5.248075-4 3.375411-4 5.888437-4 3.998296-4 7.351400-4 5.460582-4 7.351400-4 5.352749-4 7.781800-4 5.758574-4 7.781800-4 5.698298-4 1.030500-3 8.130225-4 1.030500-3 8.014407-4 1.264200-3 1.027116-3 1.264200-3 1.023970-3 1.419900-3 1.174394-3 1.419900-3 1.169483-3 2.290868-3 2.016302-3 3.555200-3 3.259583-3 3.555200-3 3.122548-3 3.736800-3 3.304243-3 3.736800-3 3.228000-3 4.289600-3 3.781358-3 4.289600-3 3.746293-3 5.181500-3 4.633665-3 5.181500-3 4.610140-3 5.521300-3 4.946296-3 5.521300-3 4.930057-3 1.428894-2 1.362663-2 1.718200-2 1.650646-2 1.718200-2 1.267565-2 2.104400-2 1.656887-2 2.104400-2 1.473509-2 2.176800-2 1.544412-2 2.176800-2 1.512856-2 3.467369-2 2.787992-2 1.148154-1 1.078665-1 1.161100-1 1.091605-1 1.161100-1 3.397670-2 1.202264-1 3.796076-2 1.216186-1 3.927513-2 1.364583-1 5.368566-2 1.819701-1 9.840953-2 3.388442-1 2.542291-1 1.659587+0 1.573638+0 1.000000+5 9.999991+4 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.161100-1 1.377315+3 1.202264-1 1.263030+3 1.207000-1 1.253916+3 1.250000-1 1.146438+3 1.318257-1 1.007993+3 1.450000-1 7.910120+2 1.659587-1 5.637311+2 1.862087-1 4.203684+2 2.570396-1 1.856724+2 3.090295-1 1.172150+2 3.630781-1 7.895769+1 4.120975-1 5.824884+1 4.731513-1 4.213679+1 5.370318-1 3.152992+1 6.095369-1 2.376041+1 6.918310-1 1.805270+1 7.943282-1 1.348153+1 9.225714-1 9.906486+0 1.023293+0 8.051882+0 1.216186+0 5.745143+0 1.364583+0 4.618753+0 1.548817+0 3.660261+0 1.757924+0 2.923572+0 2.000000+0 2.342923+0 2.290868+0 1.870245+0 2.630268+0 1.498284+0 3.054921+0 1.187779+0 3.548134+0 9.488147-1 4.120975+0 7.635303-1 4.841724+0 6.089188-1 5.754399+0 4.816499-1 6.839116+0 3.838929-1 8.222427+0 3.035724-1 1.011579+1 2.351358-1 1.258925+1 1.809701-1 1.584893+1 1.384863-1 1.949845+1 1.095150-1 2.454709+1 8.480224-2 3.349654+1 6.050937-2 4.841724+1 4.090468-2 7.413102+1 2.623256-2 1.364583+2 1.402253-2 2.722701+2 6.961872-3 5.432503+2 3.471775-3 2.162719+3 8.691476-4 1.000000+5 1.876700-5 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.161100-1 8.440500-4 1.000000+5 8.440500-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.161100-1 1.044300-1 1.000000+5 1.044300-1 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.161100-1 1.083595-2 1.000000+5 9.999989+4 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.176800-2 4.734915+3 2.215000-2 4.583476+3 2.230000-2 4.540560+3 2.264644-2 4.416132+3 2.310000-2 4.278840+3 2.371374-2 4.077291+3 2.483133-2 3.780513+3 2.754229-2 3.132107+3 3.000000-2 2.689500+3 3.349654-2 2.184055+3 4.168694-2 1.418260+3 4.570882-2 1.174706+3 5.432503-2 8.184005+2 6.531306-2 5.490463+2 7.673615-2 3.833077+2 8.810489-2 2.798920+2 1.023293-1 1.979100+2 1.216186-1 1.317482+2 1.500000-1 7.977660+1 2.917427-1 1.596476+1 3.548134-1 1.002594+1 4.216965-1 6.697111+0 4.897788-1 4.754257+0 5.688529-1 3.402314+0 6.531306-1 2.515798+0 7.585776-1 1.828293+0 8.609938-1 1.405517+0 9.772372-1 1.088585+0 1.188502+0 7.416037-1 1.333521+0 5.952972-1 1.513561+0 4.709797-1 1.717908+0 3.756685-1 1.949845+0 3.018455-1 2.213095+0 2.441957-1 2.540973+0 1.952496-1 2.917427+0 1.572601-1 3.388442+0 1.253310-1 3.935501+0 1.006312-1 4.623810+0 8.007728-2 5.495409+0 6.320679-2 6.531306+0 5.027965-2 7.852356+0 3.968628-2 9.549926+0 3.111840-2 1.188502+1 2.390077-2 1.445440+1 1.900092-2 1.819701+1 1.459812-2 2.400000+1 1.072400-2 3.273407+1 7.652045-3 4.677351+1 5.233344-3 7.161434+1 3.354093-3 1.273503+2 1.856333-3 2.540973+2 9.209958-4 5.069907+2 4.590978-4 2.018366+3 1.149132-4 1.000000+5 2.315400-6 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.176800-2 1.205000-3 1.000000+5 1.205000-3 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.176800-2 7.475600-3 1.000000+5 7.475600-3 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.176800-2 1.308740-2 1.000000+5 9.999999+4 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.104400-2 9.804704+3 2.150000-2 9.360100+3 2.220000-2 8.670400+3 2.290868-2 8.019300+3 2.400000-2 7.165600+3 2.917427-2 4.375400+3 3.273407-2 3.243100+3 4.000000-2 1.903700+3 5.011872-2 1.029800+3 6.237348-2 5.608800+2 7.852356-2 2.931700+2 1.035142-1 1.335400+2 1.659587-1 3.470200+1 2.089296-1 1.809100+1 2.511886-1 1.082081+1 2.951209-1 6.949803+0 3.427678-1 4.639645+0 3.935501-1 3.218560+0 4.472100-1 2.311204+0 5.069907-1 1.682914+0 5.688529-1 1.266763+0 6.382635-1 9.604080-1 7.161434-1 7.343055-1 8.035261-1 5.656610-1 9.225714-1 4.172340-1 1.000000+0 3.513923-1 1.096478+0 2.914480-1 1.202264+0 2.435064-1 1.333521+0 2.003910-1 1.531087+0 1.559323-1 1.757924+0 1.220225-1 2.000000+0 9.775521-2 2.290868+0 7.803663-2 2.630268+0 6.252633-2 3.054921+0 4.957908-2 3.548134+0 3.960511-2 4.120975+0 3.187147-2 4.841724+0 2.541771-2 5.754399+0 2.010505-2 6.839116+0 1.602389-2 8.222427+0 1.267192-2 1.011579+1 9.815059-3 1.258925+1 7.554044-3 1.566751+1 5.858089-3 1.927525+1 4.630642-3 2.454709+1 3.539775-3 3.349654+1 2.525770-3 4.841724+1 1.707397-3 7.498942+1 1.082032-3 1.380384+2 5.784923-4 2.754229+2 2.872431-4 5.495409+2 1.432553-4 2.187762+3 3.586441-5 1.000000+5 7.833900-7 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.104400-2 9.002000-4 1.000000+5 9.002000-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.104400-2 9.827500-3 1.000000+5 9.827500-3 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.104400-2 1.031630-2 1.000000+5 9.999999+4 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.718200-2 2.352475+4 1.750000-2 2.252824+4 1.819701-2 2.027653+4 2.000000-2 1.563852+4 2.454709-2 8.791527+3 2.730000-2 6.471080+3 3.273407-2 3.809743+3 4.120975-2 1.916613+3 5.128614-2 9.855266+2 6.309573-2 5.199264+2 7.943282-2 2.533383+2 1.083927-1 9.513343+1 1.603245-1 2.764808+1 2.000000-1 1.384772+1 2.344229-1 8.481238+0 2.722701-1 5.380396+0 3.126079-1 3.560430+0 3.548134-1 2.456054+0 4.000000-1 1.740606+0 4.466836-1 1.276575+0 5.011872-1 9.307932-1 5.559043-1 7.053993-1 6.165950-1 5.384909-1 6.839117-1 4.139711-1 7.943282-1 2.850686-1 8.609938-1 2.348008-1 9.225714-1 2.001840-1 9.772372-1 1.762898-1 1.047129+0 1.525071-1 1.135011+0 1.296681-1 1.244515+0 1.085383-1 1.380384+0 8.964643-2 1.717908+0 6.066389-2 1.949845+0 4.871153-2 2.213095+0 3.940897-2 2.540973+0 3.150965-2 2.917427+0 2.537735-2 3.388442+0 2.022513-2 3.935501+0 1.623969-2 4.623810+0 1.292271-2 5.495409+0 1.020003-2 6.531306+0 8.113861-3 7.852356+0 6.404434-3 9.549926+0 5.021690-3 1.188502+1 3.857051-3 1.445440+1 3.066290-3 1.819701+1 2.355767-3 2.400000+1 1.730600-3 3.273407+1 1.234870-3 4.677351+1 8.445344-4 7.161434+1 5.412618-4 1.288250+2 2.960641-4 2.570396+2 1.469060-4 5.128614+2 7.323454-5 2.041738+3 1.833086-5 1.000000+5 3.736400-7 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.718200-2 8.342900-4 1.000000+5 8.342900-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.718200-2 6.454000-3 1.000000+5 6.454000-3 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.718200-2 9.893710-3 1.000000+5 9.999999+4 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 5.521300-3 1.219433+4 5.690000-3 1.171395+4 5.800000-3 1.145734+4 5.956621-3 1.104925+4 6.165950-3 1.059722+4 6.760830-3 9.318087+3 7.161434-3 8.630228+3 7.650000-3 7.841840+3 8.511380-3 6.661647+3 9.120108-3 6.004609+3 9.885531-3 5.272805+3 1.190000-2 3.881020+3 1.318257-2 3.249057+3 1.531087-2 2.491842+3 1.757924-2 1.932198+3 1.972423-2 1.556829+3 2.371374-2 1.090154+3 2.851018-2 7.549019+2 3.388442-2 5.297756+2 4.027170-2 3.685525+2 4.800000-2 2.526160+2 5.623413-2 1.783842+2 6.606934-2 1.243312+2 7.852356-2 8.384920+1 9.332543-2 5.613502+1 1.161449-1 3.348595+1 1.500000-1 1.814802+1 2.600160-1 4.787938+0 3.198895-1 2.915517+0 3.845918-1 1.888903+0 4.518559-1 1.300807+0 5.188000-1 9.509140-1 6.025596-1 6.826826-1 6.918310-1 5.063244-1 7.943282-1 3.782153-1 9.015711-1 2.911727-1 1.011579+0 2.312343-1 1.216186+0 1.613119-1 1.364583+0 1.296665-1 1.531087+0 1.049000-1 1.737801+0 8.372728-2 1.972423+0 6.732063-2 2.264644+0 5.348322-2 2.600160+0 4.281642-2 3.000000+0 3.426600-2 3.467369+0 2.754551-2 4.027170+0 2.214174-2 4.731513+0 1.763907-2 5.623413+0 1.393760-2 6.683439+0 1.109785-2 8.035261+0 8.768035-3 9.772372+0 6.881124-3 1.216186+1 5.289574-3 1.479108+1 4.208566-3 1.819701+1 3.320283-3 2.400000+1 2.439200-3 3.273407+1 1.740389-3 4.731513+1 1.175957-3 7.244360+1 7.538176-4 1.303167+2 4.123936-4 2.600160+2 2.046540-4 5.188000+2 1.020253-4 2.065380+3 2.553984-5 1.000000+5 5.266100-7 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 5.521300-3 8.944000-4 1.000000+5 8.944000-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.521300-3 7.992600-5 1.000000+5 7.992600-5 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.521300-3 4.546974-3 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 5.181500-3 1.958512+4 5.450000-3 1.864406+4 5.700000-3 1.775214+4 6.500000-3 1.506818+4 6.928200-3 1.377795+4 7.800000-3 1.153518+4 8.413951-3 1.024735+4 9.015711-3 9.162187+3 1.060000-2 6.907940+3 1.135011-2 6.093893+3 1.333521-2 4.469437+3 1.450000-2 3.780160+3 1.678804-2 2.789585+3 1.840772-2 2.289938+3 2.113489-2 1.689125+3 2.371374-2 1.300222+3 2.660725-2 9.953418+2 3.090295-2 6.967340+2 3.589219-2 4.831868+2 4.168694-2 3.322761+2 4.841724-2 2.267452+2 5.688529-2 1.491035+2 6.760830-2 9.439577+1 8.222426-2 5.576232+1 1.035142-1 2.976763+1 2.041738-1 4.576915+0 2.540973-1 2.519665+0 3.019952-1 1.583445+0 3.548134-1 1.033813+0 4.073803-1 7.223833-1 4.623810-1 5.236415-1 5.248075-1 3.822553-1 5.956621-1 2.811908-1 6.683439-1 2.142531-1 7.498942-1 1.644367-1 8.609938-1 1.207699-1 9.440609-1 9.901471-2 1.023293+0 8.377993-2 1.135011+0 6.814041-2 1.258925+0 5.583368-2 1.412538+0 4.508246-2 1.640590+0 3.442477-2 1.862087+0 2.758345-2 2.113489+0 2.226057-2 2.426610+0 1.775477-2 2.786121+0 1.426675-2 3.235937+0 1.134407-2 3.758374+0 9.088168-3 4.365158+0 7.333455-3 5.128614+0 5.863981-3 6.095369+0 4.650523-3 7.328245+0 3.660694-3 8.810489+0 2.903008-3 1.096478+1 2.223249-3 1.380384+1 1.692963-3 1.778279+1 1.265633-3 2.371374+1 9.180045-4 3.235937+1 6.544995-4 4.623810+1 4.475068-4 7.079458+1 2.867475-4 1.244515+2 1.605543-4 2.483133+2 7.963797-5 4.954502+2 3.969222-5 1.972423+3 9.933682-6 1.000000+5 1.956000-7 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 5.181500-3 8.043800-4 1.000000+5 8.043800-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.181500-3 1.471800-4 1.000000+5 1.471800-4 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.181500-3 4.229940-3 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.289600-3 7.242637+4 4.623810-3 6.429860+4 4.954502-3 5.716031+4 5.500000-3 4.763600+4 6.025596-3 4.018703+4 6.918310-3 3.083650+4 7.585776-3 2.569359+4 8.912509-3 1.844914+4 9.660509-3 1.551109+4 1.135011-2 1.087303+4 1.244515-2 8.809029+3 1.428894-2 6.381286+3 1.621810-2 4.703580+3 1.819701-2 3.543353+3 2.089296-2 2.500763+3 2.400000-2 1.747332+3 2.722701-2 1.251997+3 3.090295-2 8.900815+2 3.548134-2 6.090840+2 4.120975-2 4.006081+2 4.800000-2 2.593442+2 5.623413-2 1.638684+2 6.606934-2 1.019295+2 8.000000-2 5.754240+1 1.000000-1 2.929084+1 1.258925-1 1.449203+1 1.862087-1 4.364562+0 2.290868-1 2.326772+0 2.691535-1 1.435850+0 3.126079-1 9.237494-1 3.589219-1 6.194749-1 4.073803-1 4.326916-1 4.570882-1 3.144306-1 5.069907-1 2.374392-1 5.623413-1 1.805329-1 6.309573-1 1.341619-1 6.998420-1 1.034125-1 7.762471-1 8.026262-2 8.709636-1 6.085928-2 9.332543-1 5.187546-2 9.885531-1 4.567079-2 1.059254+0 3.949612-2 1.148154+0 3.360171-2 1.250000+0 2.855071-2 1.380384+0 2.378865-2 1.737801+0 1.578410-2 1.972423+0 1.268132-2 2.238721+0 1.026547-2 2.570396+0 8.213233-3 2.951209+0 6.619216-3 3.427678+0 5.278367-3 4.000000+0 4.211700-3 4.677351+0 3.376333-3 5.559043+0 2.666410-3 6.606934+0 2.122102-3 8.000000+0 1.660800-3 9.772372+0 1.296260-3 1.202264+1 1.010137-3 1.462177+1 8.033540-4 1.819701+1 6.254519-4 2.400000+1 4.594800-4 3.273407+1 3.278423-4 4.677351+1 2.242221-4 7.161434+1 1.437041-4 1.273503+2 7.953057-5 2.540973+2 3.945949-5 5.069907+2 1.966955-5 2.018366+3 4.923226-6 1.000000+5 9.920000-8 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.289600-3 7.041000-4 1.000000+5 7.041000-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.289600-3 4.991100-5 1.000000+5 4.991100-5 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.289600-3 3.535589-3 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 3.736800-3 1.842400+5 3.860000-3 1.700312+5 3.935501-3 1.610168+5 4.415704-3 1.192569+5 4.731513-3 9.889955+4 5.370318-3 6.954101+4 5.888437-3 5.357345+4 6.531306-3 3.971533+4 7.300000-3 2.860320+4 7.943282-3 2.214242+4 9.332543-3 1.349695+4 1.083927-2 8.412666+3 1.202264-2 6.037118+3 1.428894-2 3.432713+3 1.659587-2 2.082894+3 1.862087-2 1.410164+3 2.150000-2 8.605760+2 2.511886-2 5.001784+2 2.951209-2 2.827691+2 3.507519-2 1.522513+2 4.216965-2 7.801165+1 5.188000-2 3.646653+1 6.683439-2 1.426973+1 1.216186-1 1.537112+0 1.500000-1 7.083160-1 1.778279-1 3.807613-1 2.290868-1 1.527428-1 2.540973-1 1.058206-1 2.786121-1 7.691081-2 3.467369-1 3.665167-2 3.890451-1 2.501097-2 4.365158-1 1.719128-2 4.786301-1 1.282908-2 5.128614-1 1.036109-2 5.623413-1 7.857317-3 6.531306-1 5.066652-3 7.244360-1 3.766794-3 8.609938-1 2.330130-3 9.120108-1 1.999482-3 9.549926-1 1.779951-3 1.000000+0 1.595040-3 1.047129+0 1.439336-3 1.109175+0 1.275032-3 1.174898+0 1.137244-3 1.258925+0 9.986775-4 1.364583+0 8.644920-4 1.531087+0 7.080959-4 1.840772+0 5.115211-4 2.065380+0 4.202817-4 2.371374+0 3.347970-4 2.722701+0 2.687349-4 3.162278+0 2.134540-4 3.672823+0 1.708105-4 4.265795+0 1.376790-4 5.011872+0 1.099716-4 5.956621+0 8.712483-5 7.161434+0 6.851715-5 8.609938+0 5.428452-5 1.059254+1 4.211854-5 1.318257+1 3.246772-5 1.737801+1 2.360815-5 2.344229+1 1.689522-5 3.198895+1 1.204181-5 4.570882+1 8.231727-6 6.918310+1 5.336812-6 1.216186+2 2.987152-6 2.398833+2 1.498654-6 4.786301+2 7.468123-7 1.905461+3 1.868635-7 1.000000+5 3.554500-9 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 3.736800-3 5.245400-4 1.000000+5 5.245400-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.736800-3 1.644700-4 1.000000+5 1.644700-4 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.736800-3 3.047790-3 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 3.555200-3 2.908700+5 3.596000-3 2.813309+5 3.695000-3 2.628108+5 3.763000-3 2.493203+5 4.168694-3 1.897947+5 4.518559-3 1.519552+5 5.188000-3 1.026837+5 5.821032-3 7.354379+4 6.382635-3 5.600188+4 7.079458-3 4.095845+4 7.673615-3 3.191702+4 9.015711-3 1.925833+4 1.011579-2 1.329212+4 1.135011-2 9.137360+3 1.333521-2 5.343700+3 1.500000-2 3.585408+3 1.698244-2 2.339838+3 1.972423-2 1.386420+3 2.317395-2 7.813632+2 2.722701-2 4.362580+2 3.198895-2 2.414914+2 3.758374-2 1.326868+2 4.518559-2 6.638868+1 5.432503-2 3.297351+1 7.079458-2 1.194693+1 1.202264-1 1.557188+0 1.445440-1 7.716874-1 1.678804-1 4.392275-1 1.927525-1 2.628630-1 2.213095-1 1.584810-1 2.483133-1 1.046646-1 2.786121-1 6.962688-2 3.090295-1 4.858621-2 3.427678-1 3.415560-2 3.758374-1 2.513467-2 4.168694-1 1.793760-2 4.570882-1 1.338993-2 4.954502-1 1.043839-2 5.370318-1 8.202637-3 5.888437-1 6.276726-3 6.531306-1 4.681148-3 7.161434-1 3.631880-3 8.222427-1 2.505613-3 8.810489-1 2.084960-3 9.332543-1 1.801493-3 9.772372-1 1.612350-3 1.023293+0 1.452296-3 1.083927+0 1.283929-3 1.148154+0 1.142750-3 1.230269+0 1.000991-3 1.333521+0 8.641646-4 1.840772+0 4.901463-4 2.065380+0 4.027161-4 2.371374+0 3.207651-4 2.722701+0 2.574413-4 3.162278+0 2.044628-4 3.672823+0 1.636120-4 4.265795+0 1.318808-4 5.011872+0 1.053467-4 5.956621+0 8.345786-5 7.161434+0 6.563305-5 8.609938+0 5.199948-5 1.059254+1 4.034573-5 1.318257+1 3.110122-5 1.737801+1 2.261437-5 2.344229+1 1.618405-5 3.235937+1 1.139293-5 4.623810+1 7.790065-6 6.998420+1 5.051570-6 1.230269+2 2.827919-6 2.454709+2 1.402548-6 4.897788+2 6.990012-7 1.949845+3 1.749270-7 1.000000+5 3.404900-9 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 3.555200-3 5.281000-4 1.000000+5 5.281000-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.555200-3 2.884700-7 1.000000+5 2.884700-7 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.555200-3 3.026812-3 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.419900-3 2.717971+4 1.515000-3 2.537800+4 1.737801-3 2.215709+4 1.840772-3 2.077477+4 2.113489-3 1.770651+4 2.454709-3 1.475959+4 2.650000-3 1.335116+4 3.235937-3 1.014147+4 3.548134-3 8.874790+3 4.216965-3 6.851769+3 4.841724-3 5.520519+3 5.500000-3 4.500940+3 6.606934-3 3.320387+3 7.943282-3 2.420808+3 9.500000-3 1.763988+3 1.135011-2 1.276458+3 1.350000-2 9.237100+2 1.603245-2 6.653035+2 1.905461-2 4.749878+2 2.264644-2 3.366509+2 2.691535-2 2.368692+2 3.198895-2 1.654337+2 3.801894-2 1.146993+2 4.518559-2 7.892749+1 5.370318-2 5.393295+1 6.456542-2 3.564643+1 7.762471-2 2.338024+1 9.440609-2 1.481995+1 1.161449-1 9.072285+0 1.500000-1 4.908600+0 2.600160-1 1.295483+0 3.235937-1 7.675188-1 3.890451-1 4.974217-1 4.570882-1 3.429083-1 5.308844-1 2.444767-1 6.095369-1 1.801114-1 6.998420-1 1.336738-1 8.128305-1 9.754460-2 9.225714-1 7.518642-2 1.035142+0 5.978200-2 1.230269+0 4.267713-2 1.396368+0 3.360443-2 1.566751+0 2.722401-2 1.778279+0 2.175827-2 2.018366+0 1.751687-2 2.317395+0 1.393474-2 2.660725+0 1.116921-2 3.090295+0 8.859181-3 3.589219+0 7.081033-3 4.168694+0 5.701425-3 4.897788+0 4.549350-3 5.821032+0 3.600449-3 7.000000+0 2.827900-3 8.413951+0 2.238980-3 1.035142+1 1.735669-3 1.288250+1 1.336992-3 1.659587+1 9.971335-4 2.213095+1 7.215674-4 3.054921+1 5.072223-4 4.315191+1 3.506216-4 6.456542+1 2.297987-4 1.083927+2 1.346930-4 1.905461+2 7.583339-5 3.801894+2 3.774065-5 1.513561+3 9.428434-6 1.000000+5 1.424600-7 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.419900-3 5.131600-4 1.000000+5 5.131600-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.419900-3 7.079600-7 1.000000+5 7.079600-7 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.419900-3 9.060320-4 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.264200-3 2.353543+4 1.380384-3 2.337309+4 1.548817-3 2.268831+4 1.650000-3 2.211680+4 1.778279-3 2.129492+4 1.905461-3 2.046542+4 2.030000-3 1.962098+4 2.187762-3 1.852656+4 2.344229-3 1.747415+4 2.540973-3 1.617570+4 2.818383-3 1.455454+4 3.019952-3 1.348812+4 3.311311-3 1.208011+4 3.672823-3 1.060519+4 4.000000-3 9.460620+3 4.518559-3 7.963281+3 4.954502-3 6.947030+3 5.623413-3 5.702875+3 6.165950-3 4.910815+3 7.000000-3 3.964420+3 7.852356-3 3.239169+3 8.810489-3 2.627600+3 1.000000-2 2.070500+3 1.135011-2 1.618381+3 1.288250-2 1.255186+3 1.462177-2 9.662597+2 1.659587-2 7.384334+2 1.905461-2 5.462556+2 2.162719-2 4.114085+2 2.454709-2 3.077767+2 2.800000-2 2.260900+2 3.235937-2 1.598555+2 3.758374-2 1.107704+2 4.365158-2 7.617104+1 5.128614-2 5.049515+1 6.025596-2 3.321959+1 7.244360-2 2.042052+1 8.810489-2 1.208134+1 1.109175-1 6.462828+0 2.113489-1 1.105320+0 2.600160-1 6.299675-1 3.090295-1 3.970150-1 3.589219-1 2.678981-1 4.120975-1 1.876041-1 4.731513-1 1.323456-1 5.370318-1 9.682392-2 6.095369-1 7.138242-2 6.839117-1 5.449339-2 7.852356-1 3.970843-2 8.609938-1 3.236728-2 9.332543-1 2.723268-2 1.011579+0 2.306619-2 1.148154+0 1.793702-2 1.273503+0 1.469601-2 1.428894+0 1.186989-2 1.659587+0 9.066964-3 1.883649+0 7.269714-3 2.137962+0 5.870503-3 2.454709+0 4.685146-3 2.818383+0 3.766958-3 3.273407+0 2.996935-3 3.801894+0 2.402248-3 4.415704+0 1.939485-3 5.188000+0 1.551698-3 6.165950+0 1.231210-3 7.413102+0 9.695674-4 8.912509+0 7.692894-4 1.109175+1 5.894044-4 1.380384+1 4.550675-4 1.778279+1 3.402131-4 2.371374+1 2.467621-4 3.235937+1 1.759204-4 4.623810+1 1.202893-4 6.998420+1 7.800246-5 1.230269+2 4.366706-5 2.454709+2 2.165736-5 4.897788+2 1.079389-5 1.949845+3 2.701046-6 1.000000+5 5.257600-8 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.264200-3 4.812400-4 1.000000+5 4.812400-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.264200-3 5.402300-7 1.000000+5 5.402300-7 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.264200-3 7.824198-4 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.030500-3 1.571900+5 1.170000-3 1.382170+5 1.300000-3 1.239032+5 1.531087-3 1.020506+5 1.659587-3 9.219350+4 1.883649-3 7.768739+4 2.113489-3 6.578564+4 2.388200-3 5.487545+4 2.630268-3 4.716618+4 3.054921-3 3.699100+4 3.400000-3 3.084272+4 3.845918-3 2.486993+4 4.365158-3 1.976396+4 4.897788-3 1.594001+4 5.623413-3 1.221036+4 6.382635-3 9.487511+3 7.161434-3 7.495957+3 8.128305-3 5.744815+3 9.332543-3 4.261634+3 1.080000-2 3.079544+3 1.244515-2 2.226245+3 1.428894-2 1.609169+3 1.640590-2 1.153637+3 1.862087-2 8.443431+2 2.113489-2 6.139225+2 2.426610-2 4.303673+2 2.786121-2 2.993666+2 3.162278-2 2.132072+2 3.672823-2 1.416599+2 4.216965-2 9.646972+1 4.897788-2 6.315111+1 5.754399-2 3.969868+1 6.839116-2 2.394809+1 8.222426-2 1.385519+1 1.000000-1 7.688657+0 2.000000-1 9.347220-1 2.426610-1 5.223993-1 2.851018-1 3.238064-1 3.311311-1 2.091511-1 3.758374-1 1.454572-1 4.265795-1 1.019105-1 4.731513-1 7.668328-2 5.308844-1 5.632853-2 5.888437-1 4.295995-2 6.531306-1 3.298578-2 7.244360-1 2.552008-2 8.128305-1 1.933497-2 9.440609-1 1.360405-2 1.000000+0 1.195602-2 1.071519+0 1.033293-2 1.148154+0 8.995773-3 1.250000+0 7.647410-3 1.380384+0 6.377537-3 1.778279+0 4.068755-3 2.018366+0 3.272905-3 2.290868+0 2.652624-3 2.630268+0 2.124951-3 3.054921+0 1.684599-3 3.548134+0 1.345672-3 4.120975+0 1.082888-3 4.841724+0 8.636172-4 5.754399+0 6.831120-4 6.839116+0 5.444710-4 8.222427+0 4.305512-4 1.011579+1 3.334901-4 1.258925+1 2.566692-4 1.566751+1 1.990462-4 1.905461+1 1.593760-4 2.426610+1 1.218047-4 3.311311+1 8.688537-5 4.786301+1 5.872120-5 7.328245+1 3.765134-5 1.318257+2 2.060057-5 2.630268+2 1.022468-5 5.248075+2 5.097791-6 2.089296+3 1.276131-6 1.000000+5 2.661800-8 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.030500-3 4.112400-4 1.000000+5 4.112400-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.030500-3 4.668000-7 1.000000+5 4.668000-7 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.030500-3 6.187932-4 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 7.781800-4 1.855558+5 8.030000-4 2.006565+5 8.320000-4 2.101316+5 8.780000-4 2.149636+5 9.440609-4 2.135611+5 9.930000-4 2.111384+5 1.035142-3 2.079655+5 1.090000-3 2.026784+5 1.161449-3 1.945847+5 1.216186-3 1.878422+5 1.288250-3 1.786005+5 1.364583-3 1.686417+5 1.462177-3 1.562492+5 1.548817-3 1.457356+5 1.698244-3 1.290205+5 1.800000-3 1.187360+5 1.927525-3 1.068498+5 2.113489-3 9.199058+4 2.264644-3 8.174123+4 2.454709-3 7.064384+4 2.722701-3 5.807437+4 2.951209-3 4.949524+4 3.273407-3 3.993627+4 3.548134-3 3.359494+4 3.935501-3 2.666359+4 4.315191-3 2.156473+4 4.800000-3 1.672568+4 5.300000-3 1.310408+4 5.888437-3 1.003242+4 6.531306-3 7.654872+3 7.300000-3 5.679880+3 8.128305-3 4.224748+3 9.015711-3 3.154309+3 1.000000-2 2.340120+3 1.122018-2 1.666982+3 1.273503-2 1.137866+3 1.428894-2 7.980633+2 1.621810-2 5.359291+2 1.819701-2 3.705940+2 2.041738-2 2.546902+2 2.344229-2 1.611110+2 2.660725-2 1.051267+2 3.054921-2 6.548725+1 3.548134-2 3.891779+1 4.168694-2 2.204325+1 4.954502-2 1.189415+1 6.025596-2 5.863569+0 7.673615-2 2.426500+0 1.364583-1 2.940087-1 1.659587-1 1.443653-1 1.927525-1 8.435006-2 2.317395-1 4.393943-2 2.660725-1 2.713851-2 3.019952-1 1.757541-2 3.427678-1 1.146956-2 3.890451-1 7.546779-3 4.315191-1 5.392986-3 4.786301-1 3.882772-3 5.128614-1 3.134884-3 5.623413-1 2.373886-3 6.165950-1 1.810133-3 6.760830-1 1.389590-3 7.413102-1 1.073787-3 8.222427-1 8.095413-4 9.660509-1 5.283403-4 1.000000+0 4.846393-4 1.047129+0 4.352713-4 1.096478+0 3.937902-4 1.148154+0 3.584978-4 1.216186+0 3.211095-4 1.318257+0 2.777462-4 1.513561+0 2.195721-4 1.862087+0 1.523193-4 2.065380+0 1.276383-4 2.371374+0 1.016640-4 2.722701+0 8.158887-5 3.162278+0 6.479520-5 3.672823+0 5.184971-5 4.265795+0 4.179351-5 5.011872+0 3.338421-5 5.956621+0 2.644814-5 7.161434+0 2.079933-5 8.511380+0 1.671674-5 1.047129+1 1.296414-5 1.303167+1 9.990381-6 1.698244+1 7.356688-6 2.317395+1 5.194219-6 3.162278+1 3.701222-6 4.518559+1 2.529423-6 6.839116+1 1.639507-6 1.188502+2 9.283818-7 2.238721+2 4.878839-7 4.466836+2 2.430262-7 1.778279+3 6.078142-8 1.000000+5 1.079000-9 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 7.781800-4 3.272000-4 1.000000+5 3.272000-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 7.781800-4 2.719300-7 1.000000+5 2.719300-7 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 7.781800-4 4.507081-4 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 7.351400-4 3.155936+5 7.478000-4 3.425840+5 7.481000-4 3.444773+5 7.630000-4 3.612578+5 7.701800-4 3.662587+5 7.852356-4 3.691042+5 7.970000-4 3.701550+5 8.280000-4 3.692968+5 9.015711-4 3.616372+5 9.500000-4 3.545202+5 1.000000-3 3.451698+5 1.059254-3 3.323967+5 1.130000-3 3.158220+5 1.202264-3 2.983104+5 1.273503-3 2.810081+5 1.364583-3 2.596025+5 1.462177-3 2.379700+5 1.610000-3 2.081694+5 1.717908-3 1.890815+5 1.840772-3 1.693020+5 2.018366-3 1.448851+5 2.187762-3 1.256225+5 2.350000-3 1.098726+5 2.600160-3 9.025310+4 2.818383-3 7.660207+4 3.126079-3 6.151017+4 3.400000-3 5.114484+4 3.763000-3 4.059598+4 4.073803-3 3.369635+4 4.518559-3 2.621503+4 4.954502-3 2.083003+4 5.500000-3 1.593000+4 6.095369-3 1.213645+4 6.683439-3 9.457187+3 7.500000-3 6.864600+3 8.413951-3 4.942579+3 9.225714-3 3.776478+3 1.023293-2 2.773347+3 1.150000-2 1.943448+3 1.300000-2 1.326342+3 1.462177-2 9.123171+2 1.640590-2 6.278640+2 1.840772-2 4.291763+2 2.065380-2 2.914578+2 2.344229-2 1.890448+2 2.660725-2 1.217336+2 3.054921-2 7.473970+1 3.507519-2 4.554327+1 4.073803-2 2.643138+1 4.786301-2 1.459902+1 5.754399-2 7.347690+0 7.161434-2 3.224164+0 1.303167-1 3.334520-1 1.531088-1 1.820166-1 1.819701-1 9.596834-2 2.041738-1 6.294727-2 2.344229-1 3.821065-2 2.630268-1 2.536422-2 2.917427-1 1.765407-2 3.235937-1 1.237700-2 3.589219-1 8.744203-3 3.935501-1 6.464327-3 4.315191-1 4.809537-3 4.731513-1 3.604806-3 5.069907-1 2.920091-3 5.495409-1 2.300739-3 6.025596-1 1.765376-3 6.623700-1 1.355059-3 7.244360-1 1.060603-3 7.943282-1 8.299728-4 9.015711-1 5.965681-4 9.549926-1 5.167864-4 1.000000+0 4.637672-4 1.059254+0 4.087114-4 1.122018+0 3.628017-4 1.202264+0 3.169845-4 1.303167+0 2.731014-4 1.531087+0 2.058110-4 1.819701+0 1.516534-4 2.044000+0 1.242822-4 2.344229+0 9.911095-5 2.691535+0 7.949108-5 3.126079+0 6.309087-5 3.630781+0 5.045692-5 4.216965+0 4.064840-5 4.954502+0 3.245179-5 5.888437+0 2.569605-5 7.079458+0 2.019805-5 8.511380+0 1.599455-5 1.047129+1 1.240514-5 1.303167+1 9.559016-6 1.698244+1 7.039100-6 2.317395+1 4.969950-6 3.162278+1 3.541447-6 4.518559+1 2.420243-6 6.839116+1 1.568768-6 1.202264+2 8.779216-7 2.317395+2 4.507944-7 4.623810+2 2.245879-7 1.840772+3 5.618423-8 1.000000+5 1.032500-9 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 7.351400-4 3.228500-4 1.000000+5 3.228500-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 7.351400-4 9.334400-8 1.000000+5 9.334400-8 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 7.351400-4 4.121967-4 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 4.020900-4 5.850606+4 4.023000-4 5.905134+4 4.030000-4 6.014100+4 4.040000-4 6.121800+4 4.055000-4 6.243480+4 4.075000-4 6.368040+4 4.100000-4 6.478620+4 4.153000-4 6.665880+4 4.170000-4 6.760380+4 4.185000-4 6.880620+4 4.200000-4 7.046820+4 4.215000-4 7.268940+4 4.230000-4 7.555380+4 4.245000-4 7.914000+4 4.260000-4 8.352600+4 4.275000-4 8.878260+4 4.290000-4 9.499800+4 4.307000-4 1.032972+5 4.323000-4 1.124316+5 4.340000-4 1.236414+5 4.365158-4 1.433214+5 4.430000-4 2.118360+5 4.458000-4 2.490432+5 4.480000-4 2.810472+5 4.500000-4 3.119892+5 4.523000-4 3.495132+5 4.540000-4 3.783510+5 4.565000-4 4.222398+5 4.590000-4 4.677900+5 4.615000-4 5.146626+5 4.640000-4 5.627526+5 4.665000-4 6.118740+5 4.690000-4 6.618000+5 4.720000-4 7.224780+5 4.750000-4 7.831980+5 4.780000-4 8.434500+5 4.810000-4 9.025860+5 4.841724-4 9.633648+5 4.880000-4 1.033488+6 4.920000-4 1.102386+6 4.963700-4 1.172557+6 5.011872-4 1.243467+6 5.060000-4 1.308354+6 5.100000-4 1.357806+6 5.150000-4 1.414344+6 5.210000-4 1.473870+6 5.260000-4 1.516854+6 5.320000-4 1.560924+6 5.400000-4 1.607196+6 5.480000-4 1.641210+6 5.580000-4 1.670892+6 5.690000-4 1.690944+6 5.821032-4 1.701303+6 5.956621-4 1.698368+6 6.100000-4 1.684212+6 6.280000-4 1.655556+6 6.500000-4 1.609422+6 6.760830-4 1.545452+6 7.000000-4 1.482078+6 7.300000-4 1.399950+6 7.585776-4 1.321939+6 8.000000-4 1.212240+6 8.413951-4 1.108364+6 8.810489-4 1.016189+6 9.332543-4 9.062383+5 9.885531-4 8.019055+5 1.071519-3 6.693870+5 1.148154-3 5.695201+5 1.230269-3 4.805110+5 1.350000-3 3.789114+5 1.450000-3 3.136884+5 1.570000-3 2.522274+5 1.730000-3 1.919574+5 1.883649-3 1.498780+5 2.089296-3 1.100736+5 2.290868-3 8.299260+4 2.511886-3 6.221213+4 2.786121-3 4.461116+4 3.054921-3 3.299304+4 3.427678-3 2.243078+4 3.801894-3 1.572484+4 4.216965-3 1.094895+4 4.731513-3 7.263944+3 5.308844-3 4.779899+3 6.000000-3 3.036804+3 6.800000-3 1.892466+3 7.673615-3 1.188539+3 8.709636-3 7.237359+2 9.800000-3 4.524738+2 1.096478-2 2.874389+2 1.216186-2 1.881149+2 1.396368-2 1.060927+2 1.584893-2 6.231720+1 1.819701-2 3.460266+1 2.089296-2 1.906993+1 2.426610-2 9.921975+0 2.851018-2 4.871522+0 3.427678-2 2.143244+0 4.265795-2 8.016090-1 9.660509-2 1.979381-2 1.148154-1 9.113098-3 1.333521-1 4.685101-3 1.496236-1 2.826178-3 1.717908-1 1.552868-3 1.949845-1 9.033684-4 2.213400-1 5.290991-4 2.483133-1 3.278511-4 2.786121-1 2.044530-4 3.235937-1 1.117171-4 3.548134-1 7.750217-5 3.890451-1 5.413811-5 4.216965-1 3.981333-5 4.570882-1 2.949528-5 4.954502-1 2.200696-5 5.308844-1 1.723650-5 5.754399-1 1.305561-5 6.237348-1 9.960304-6 6.760830-1 7.650301-6 7.413102-1 5.702291-6 8.035261-1 4.431886-6 8.511380-1 3.673150-6 8.912509-1 3.182179-6 9.225714-1 2.871298-6 9.549926-1 2.603130-6 9.885531-1 2.372592-6 1.023293+0 2.175219-6 1.059254+0 2.005487-6 1.096478+0 1.858260-6 1.148154+0 1.690035-6 1.202264+0 1.547029-6 1.288250+0 1.366351-6 1.396368+0 1.191807-6 1.513561+0 1.043619-6 1.905461+0 6.956863-7 2.113489+0 5.836940-7 2.426610+0 4.655101-7 2.786121+0 3.740388-7 3.235937+0 2.974003-7 3.758374+0 2.382531-7 4.365158+0 1.922527-7 5.128614+0 1.537327-7 6.095369+0 1.219212-7 7.328245+0 9.596917-8 8.810489+0 7.610673-8 1.096478+1 5.828512-8 1.364583+1 4.498291-8 1.757924+1 3.361689-8 2.371374+1 2.406626-8 3.235937+1 1.715820-8 4.677351+1 1.158998-8 7.161434+1 7.428364-9 1.273503+2 4.111206-9 2.540973+2 2.039736-9 5.069907+2 1.016809-9 2.018366+3 2.54490-10 1.000000+5 5.12780-12 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 4.020900-4 1.995100-4 1.000000+5 1.995100-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 4.020900-4 3.949600-8 1.000000+5 3.949600-8 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 4.020900-4 2.025405-4 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 3.907500-4 8.598640+4 3.950000-4 8.658160+4 4.015000-4 8.877680+4 4.040000-4 9.009840+4 4.058000-4 9.161200+4 4.073803-4 9.354943+4 4.090000-4 9.630560+4 4.101300-4 9.877469+4 4.115000-4 1.024552+5 4.130000-4 1.074400+5 4.145000-4 1.135264+5 4.158000-4 1.197760+5 4.173000-4 1.282096+5 4.190000-4 1.394912+5 4.200000-4 1.470480+5 4.220000-4 1.643656+5 4.240000-4 1.848224+5 4.270000-4 2.218000+5 4.320000-4 3.005480+5 4.343000-4 3.435216+5 4.365158-4 3.884404+5 4.390000-4 4.423568+5 4.410000-4 4.881024+5 4.430000-4 5.356344+5 4.450000-4 5.847272+5 4.470000-4 6.352040+5 4.492000-4 6.921584+5 4.518559-4 7.626568+5 4.550000-4 8.482640+5 4.580000-4 9.314960+5 4.600000-4 9.875520+5 4.630000-4 1.071744+6 4.665000-4 1.169264+6 4.700000-4 1.264616+6 4.731513-4 1.347560+6 4.760000-4 1.419672+6 4.790000-4 1.492256+6 4.835000-4 1.594368+6 4.870000-4 1.668144+6 4.910000-4 1.746696+6 4.957500-4 1.832373+6 5.011872-4 1.920803+6 5.069907-4 2.004108+6 5.135000-4 2.084072+6 5.190000-4 2.140552+6 5.260000-4 2.198848+6 5.320000-4 2.237840+6 5.400000-4 2.276816+6 5.500000-4 2.309272+6 5.623413-4 2.330500+6 5.754399-4 2.334414+6 5.900000-4 2.319816+6 6.050000-4 2.290512+6 6.237348-4 2.240146+6 6.456542-4 2.168425+6 6.700000-4 2.079896+6 7.000000-4 1.964720+6 7.300000-4 1.848088+6 7.650000-4 1.715728+6 8.035261-4 1.575791+6 8.413951-4 1.447791+6 9.015711-4 1.263761+6 9.549926-4 1.119663+6 1.023293-3 9.598466+5 1.096478-3 8.179289+5 1.170000-3 6.990656+5 1.273503-3 5.639789+5 1.380384-3 4.565760+5 1.500000-3 3.642520+5 1.640590-3 2.833637+5 1.778279-3 2.245975+5 1.950000-3 1.709824+5 2.150000-3 1.270904+5 2.371374-3 9.366170+4 2.630268-3 6.728212+4 2.900000-3 4.890600+4 3.198895-3 3.525532+4 3.548134-3 2.476183+4 3.900000-3 1.782408+4 4.319000-3 1.242152+4 4.841724-3 8.223332+3 5.432503-3 5.382368+3 6.095369-3 3.494704+3 6.839116-3 2.251569+3 7.673615-3 1.439620+3 8.709636-3 8.727153+2 9.772372-3 5.493957+2 1.096478-2 3.435406+2 1.244515-2 2.035207+2 1.412538-2 1.196176+2 1.621810-2 6.643609+1 1.862087-2 3.660521+1 2.113489-2 2.105072+1 2.454709-2 1.086097+1 2.884032-2 5.282320+0 3.427678-2 2.420992+0 4.216965-2 9.413560-1 5.688529-2 2.381384-1 8.128305-2 4.602732-2 1.174898-1 8.557584-3 1.364583-1 4.348865-3 1.566751-1 2.346229-3 1.778279-1 1.342600-3 2.000000-1 8.060649-4 2.213095-1 5.227154-4 2.426610-1 3.547546-4 2.630268-1 2.541633-4 2.884032-1 1.749148-4 3.162278-1 1.212971-4 3.467369-1 8.475598-5 3.758374-1 6.230979-5 4.073803-1 4.614294-5 4.365158-1 3.590793-5 4.731513-1 2.704885-5 5.128614-1 2.052869-5 5.688529-1 1.449338-5 6.165950-1 1.113010-5 6.683439-1 8.610819-6 7.161434-1 6.956429-6 7.673615-1 5.653549-6 8.128305-1 4.786144-6 8.609938-1 4.078545-6 9.015711-1 3.607269-6 9.440609-1 3.209383-6 9.885531-1 2.874727-6 1.035142+0 2.593718-6 1.096478+0 2.296679-6 1.161449+0 2.046692-6 1.250000+0 1.780195-6 1.364583+0 1.519356-6 1.531087+0 1.242503-6 1.819701+0 9.155915-7 2.044000+0 7.503600-7 2.344229+0 5.983759-7 2.691535+0 4.799237-7 3.126079+0 3.809100-7 3.630781+0 3.046291-7 4.216965+0 2.454137-7 4.954502+0 1.959337-7 5.888437+0 1.551465-7 7.079458+0 1.219434-7 8.511380+0 9.656967-8 1.047129+1 7.489664-8 1.303167+1 5.771270-8 1.698244+1 4.249835-8 2.317395+1 3.000614-8 3.198895+1 2.111746-8 4.570882+1 1.443587-8 6.918310+1 9.358731-9 1.216186+2 5.238364-9 2.371374+2 2.658997-9 4.731513+2 1.324950-9 1.883649+3 3.31495-10 1.000000+5 6.23340-12 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 3.907500-4 1.987400-4 1.000000+5 1.987400-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 3.907500-4 1.116300-7 1.000000+5 1.116300-7 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 3.907500-4 1.918984-4 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 3.206500-4 5.062366+4 4.000000-4 4.341940+4 4.570882-4 3.950973+4 4.786301-4 3.803578+4 5.754399-4 3.224379+4 6.200000-4 2.996760+4 7.000000-4 2.632380+4 7.800000-4 2.332240+4 8.609938-4 2.072236+4 9.885531-4 1.742858+4 1.110000-3 1.496462+4 1.288250-3 1.221456+4 1.531087-3 9.551807+3 1.819701-3 7.407699+3 2.150000-3 5.754960+3 2.600160-3 4.285462+3 3.126079-3 3.198364+3 3.801894-3 2.327009+3 4.623810-3 1.679496+3 5.559043-3 1.226520+3 6.683439-3 8.890282+2 8.128305-3 6.264434+2 9.885531-3 4.378009+2 1.202264-2 3.034769+2 1.445440-2 2.133868+2 1.737801-2 1.489225+2 2.089296-2 1.031575+2 2.511886-2 7.092115+1 3.019952-2 4.838473+1 3.630781-2 3.275109+1 4.365158-2 2.199394+1 5.188000-2 1.503290+1 6.237348-2 9.941585+0 7.498942-2 6.526022+0 9.120108-2 4.139753+0 1.122019-1 2.536992+0 1.513561-1 1.238213+0 2.570396-1 3.431208-1 3.198895-1 2.032262-1 3.845918-1 1.316718-1 4.518559-1 9.067874-2 5.188000-1 6.628625-2 6.025596-1 4.758351-2 6.918310-1 3.528676-2 7.943282-1 2.635465-2 9.015711-1 2.028753-2 1.011579+0 1.610770-2 1.216186+0 1.123616-2 1.364583+0 9.032632-3 1.531087+0 7.307877-3 1.737801+0 5.833006-3 1.972423+0 4.689801-3 2.264644+0 3.725553-3 2.600160+0 2.982518-3 3.000000+0 2.387000-3 3.467369+0 1.918857-3 4.027170+0 1.542435-3 4.731513+0 1.228774-3 5.623413+0 9.709458-4 6.683439+0 7.731261-4 8.035261+0 6.108000-4 9.772372+0 4.793587-4 1.216186+1 3.684866-4 1.479108+1 2.931836-4 1.819701+1 2.312992-4 2.400000+1 1.699200-4 3.273407+1 1.212389-4 4.731513+1 8.191835-5 7.244360+1 5.251316-5 1.303167+2 2.872815-5 2.600160+2 1.425712-5 5.188000+2 7.107679-6 2.065380+3 1.779155-6 1.000000+5 3.668500-8 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 3.206500-4 2.126900-4 1.000000+5 2.126900-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.206500-4 8.430000-9 1.000000+5 8.430000-9 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.206500-4 1.079516-4 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.593800-4 1.470936+5 2.691535-4 1.347770+5 2.730000-4 1.295656+5 2.780000-4 1.223082+5 2.951209-4 9.927387+4 3.180000-4 7.817680+4 3.436000-4 6.242751+4 3.600000-4 5.482640+4 3.715352-4 5.042883+4 3.850000-4 4.614040+4 4.000000-4 4.223340+4 4.168694-4 3.866945+4 4.365158-4 3.531346+4 4.600000-4 3.209680+4 4.841724-4 2.945989+4 5.080000-4 2.738380+4 5.308844-4 2.576674+4 5.623413-4 2.397482+4 6.025596-4 2.216090+4 6.531306-4 2.036801+4 7.161434-4 1.863439+4 1.011579-3 1.357947+4 1.161449-3 1.188161+4 1.318257-3 1.044456+4 1.513561-3 9.002507+3 1.717908-3 7.795698+3 1.950000-3 6.703120+3 2.220000-3 5.702400+3 2.540973-3 4.780272+3 2.900000-3 3.992320+3 3.311311-3 3.306318+3 3.758374-3 2.741802+3 4.265795-3 2.257225+3 4.841724-3 1.844692+3 5.500000-3 1.494432+3 6.300000-3 1.184326+3 7.161434-3 9.434941+2 8.128305-3 7.482629+2 9.225714-3 5.893636+2 1.047129-2 4.609453+2 1.188502-2 3.580126+2 1.348963-2 2.761657+2 1.531087-2 2.115923+2 1.757924-2 1.570371+2 2.018366-2 1.156438+2 2.317395-2 8.450658+1 2.660725-2 6.129753+1 3.054921-2 4.414507+1 3.548134-2 3.069309+1 4.120975-2 2.117763+1 4.841724-2 1.408714+1 5.688529-2 9.299332+0 7.762471-2 4.154792+0 9.120108-2 2.717936+0 1.047129-1 1.875817+0 1.188502-1 1.325839+0 1.333521-1 9.603371-1 1.548817-1 6.263420-1 1.778279-1 4.258718-1 2.065380-1 2.826422-1 2.426610-1 1.831539-1 2.951209-1 1.090296-1 3.507519-1 6.916368-2 4.027170-1 4.836897-2 4.623810-1 3.408097-2 5.248075-1 2.490243-2 5.956621-1 1.833339-2 6.683439-1 1.397840-2 7.498942-1 1.073435-2 8.609938-1 7.888251-3 9.440609-1 6.469119-3 1.023293+0 5.474638-3 1.135011+0 4.452883-3 1.258925+0 3.648358-3 1.412538+0 2.945487-3 1.640590+0 2.248887-3 1.862087+0 1.801862-3 2.113489+0 1.454081-3 2.426610+0 1.159690-3 2.786121+0 9.317947-4 3.235937+0 7.408658-4 3.758374+0 5.935258-4 4.365158+0 4.789293-4 5.128614+0 3.829631-4 6.095369+0 3.037116-4 7.328245+0 2.390711-4 8.810489+0 1.895945-4 1.083927+1 1.472219-4 1.348963+1 1.135797-4 1.757924+1 8.374283-5 2.371374+1 5.995328-5 3.235937+1 4.274429-5 4.623810+1 2.922540-5 7.079458+1 1.872662-5 1.258925+2 1.036288-5 2.511886+2 5.140795-6 5.011872+2 2.562384-6 1.995262+3 6.413194-7 1.000000+5 1.277400-8 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.593800-4 1.873900-4 1.000000+5 1.873900-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.593800-4 1.357800-8 1.000000+5 1.357800-8 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.593800-4 7.197642-5 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.033900-4 3.685513+5 2.200000-4 3.301257+5 2.264644-4 3.162909+5 2.371374-4 2.934876+5 2.511886-4 2.701186+5 2.800000-4 2.345956+5 2.951209-4 2.204895+5 3.200000-4 2.023196+5 4.518559-4 1.419531+5 5.188000-4 1.223874+5 5.888437-4 1.060952+5 6.700000-4 9.106320+4 7.673615-4 7.692324+4 8.709636-4 6.523246+4 1.000000-3 5.407680+4 1.150000-3 4.438560+4 1.318257-3 3.633428+4 1.513561-3 2.947418+4 1.737801-3 2.375782+4 2.018366-3 1.867512+4 2.344229-3 1.457486+4 2.722701-3 1.129164+4 3.126079-3 8.862702+3 3.589219-3 6.910271+3 4.073803-3 5.467219+3 4.677351-3 4.205363+3 5.370318-3 3.210410+3 6.100570-3 2.485228+3 7.000000-3 1.872084+3 8.035261-3 1.397678+3 9.120108-3 1.061845+3 1.047129-2 7.806960+2 1.202264-2 5.695691+2 1.380384-2 4.123229+2 1.584893-2 2.961642+2 1.819701-2 2.110733+2 2.089296-2 1.492649+2 2.398833-2 1.047397+2 2.754229-2 7.294741+1 3.162278-2 5.043378+1 3.630781-2 3.462091+1 4.216965-2 2.285498+1 4.897788-2 1.497321+1 5.754399-2 9.422933+0 6.760830-2 5.885782+0 8.128305-2 3.410608+0 1.000000-1 1.831096+0 1.972423-1 2.325325-1 2.398833-1 1.290322-1 2.818383-1 7.997428-2 3.273407-1 5.167136-2 3.715352-1 3.594777-2 4.216965-1 2.518853-2 4.731513-1 1.835887-2 5.248075-1 1.390322-2 5.888437-1 1.028840-2 6.606935-1 7.673423-3 7.328245-1 5.934734-3 8.609938-1 4.021335-3 9.225714-1 3.423850-3 9.772372-1 3.010752-3 1.047129+0 2.600190-3 1.135011+0 2.209608-3 1.230269+0 1.891347-3 1.348963+0 1.594560-3 1.717908+0 1.035529-3 1.949845+0 8.314239-4 2.213095+0 6.725944-4 2.540973+0 5.377794-4 2.917427+0 4.331391-4 3.388442+0 3.452000-4 3.935501+0 2.771726-4 4.623810+0 2.205586-4 5.432503+0 1.768167-4 6.456542+0 1.405850-4 7.762471+0 1.109149-4 9.440609+0 8.692667-5 1.174898+1 6.673926-5 1.445440+1 5.233435-5 1.819701+1 4.020844-5 2.400000+1 2.953800-5 3.273407+1 2.107643-5 4.677351+1 1.441424-5 7.161434+1 9.238349-6 1.288250+2 5.053105-6 2.570396+2 2.507445-6 5.128614+2 1.249981-6 2.041738+3 3.128706-7 1.000000+5 6.377200-9 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.033900-4 1.347500-4 1.000000+5 1.347500-4 1 92000 7 7 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.033900-4 6.282200-9 1.000000+5 6.282200-9 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.033900-4 6.863372-5 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.123500-4 8.216528+5 1.127000-4 8.877120+5 1.135011-4 1.041612+6 1.140000-4 1.145760+6 1.146000-4 1.276628+6 1.152000-4 1.410568+6 1.157000-4 1.522740+6 1.162000-4 1.633808+6 1.166500-4 1.731068+6 1.170000-4 1.804128+6 1.175000-4 1.903896+6 1.180000-4 1.997212+6 1.185000-4 2.082628+6 1.190000-4 2.159772+6 1.197000-4 2.252620+6 1.202264-4 2.310482+6 1.208000-4 2.362008+6 1.214000-4 2.403116+6 1.221000-4 2.435632+6 1.229000-4 2.454492+6 1.236000-4 2.457236+6 1.245000-4 2.445056+6 1.255000-4 2.414916+6 1.265000-4 2.372220+6 1.280000-4 2.293104+6 1.300000-4 2.173800+6 1.330000-4 1.990952+6 1.380384-4 1.710699+6 1.430000-4 1.472824+6 1.480000-4 1.263828+6 1.531087-4 1.077632+6 1.584893-4 9.099378+5 1.778279-4 5.109761+5 1.905461-4 3.640842+5 2.018366-4 2.763636+5 2.089296-4 2.353962+5 2.162719-4 2.017149+5 2.220000-4 1.804400+5 2.285500-4 1.604865+5 2.344229-4 1.458774+5 2.400000-4 1.343796+5 2.454709-4 1.249794+5 2.511886-4 1.168199+5 2.570396-4 1.099414+5 2.635000-4 1.037760+5 2.691535-4 9.940028+4 2.754229-4 9.546725+4 2.818383-4 9.227107+4 2.884032-4 8.971450+4 2.951209-4 8.771238+4 3.030000-4 8.600640+4 3.126079-4 8.466365+4 3.240000-4 8.384960+4 3.350000-4 8.361720+4 3.507519-4 8.384739+4 4.265795-4 8.674403+4 4.570882-4 8.724569+4 4.897788-4 8.707690+4 5.188000-4 8.640739+4 5.500000-4 8.523640+4 5.821032-4 8.363040+4 6.237348-4 8.111586+4 6.683439-4 7.808099+4 7.161434-4 7.460279+4 7.673615-4 7.077977+4 8.222426-4 6.672544+4 8.810489-4 6.250856+4 9.549926-4 5.749968+4 1.035142-3 5.249679+4 1.135011-3 4.690721+4 1.230269-3 4.219793+4 1.350000-3 3.707800+4 1.496236-3 3.182686+4 1.621810-3 2.805437+4 1.778279-3 2.413424+4 1.972423-3 2.020784+4 2.187762-3 1.677747+4 2.426610-3 1.381640+4 2.691535-3 1.128692+4 2.985383-3 9.147856+3 3.311311-3 7.355882+3 3.630781-3 6.021215+3 4.027170-3 4.770041+3 4.466836-3 3.749978+3 4.954502-3 2.925843+3 5.495409-3 2.266098+3 6.095369-3 1.742494+3 6.760830-3 1.330394+3 7.498942-3 1.008757+3 8.317638-3 7.597324+2 9.332543-3 5.502049+2 1.047129-2 3.954535+2 1.174898-2 2.821673+2 1.318257-2 1.998423+2 1.462177-2 1.455083+2 1.640590-2 1.015558+2 1.862087-2 6.784005+1 2.113489-2 4.497728+1 2.398833-2 2.961191+1 2.754229-2 1.862534+1 3.162278-2 1.162572+1 3.672823-2 6.921199+0 4.315191-2 3.927717+0 5.128614-2 2.123550+0 6.237348-2 1.048687+0 8.035261-2 4.171673-1 1.348963-1 6.272736-2 1.640590-1 3.085849-2 1.949845-1 1.661710-2 2.290868-1 9.390135-3 2.630268-1 5.797175-3 3.000000-1 3.689432-3 3.388442-1 2.445877-3 3.801894-1 1.670289-3 4.265795-1 1.148820-3 4.677351-1 8.571475-4 5.069907-1 6.677592-4 5.559043-1 5.066312-4 6.456542-1 3.270893-4 7.161434-1 2.432314-4 8.609938-1 1.456626-4 9.120108-1 1.249338-4 9.549926-1 1.111743-4 1.000000+0 9.959100-5 1.047129+0 8.984602-5 1.109175+0 7.957433-5 1.174898+0 7.096941-5 1.258925+0 6.232329-5 1.364583+0 5.395530-5 1.531087+0 4.420138-5 1.840772+0 3.192343-5 2.065380+0 2.622832-5 2.371374+0 2.089186-5 2.722701+0 1.676589-5 3.162278+0 1.331435-5 3.672823+0 1.065426-5 4.265795+0 8.587847-6 5.011872+0 6.859845-6 5.956621+0 5.434617-6 7.161434+0 4.273894-6 8.609938+0 3.386073-6 1.059254+1 2.627210-6 1.318257+1 2.025236-6 1.737801+1 1.472643-6 2.344229+1 1.053881-6 3.198895+1 7.511560-7 4.570882+1 5.134726-7 6.918310+1 3.328950-7 1.216186+2 1.863286-7 2.398833+2 9.348389-8 4.786301+2 4.658356-8 1.905461+3 1.165607-8 1.000000+5 2.21720-10 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.123500-4 1.123500-4 1.000000+5 1.123500-4 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.123500-4 0.0 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 1.040200-4 1.337641+6 1.041400-4 1.385328+6 1.047000-4 1.570206+6 1.051000-4 1.707888+6 1.055000-4 1.849008+6 1.059254-4 2.000794+6 1.063000-4 2.135532+6 1.068500-4 2.332002+6 1.074000-4 2.524452+6 1.079500-4 2.710566+6 1.085000-4 2.887482+6 1.091000-4 3.067050+6 1.097000-4 3.229842+6 1.103000-4 3.373626+6 1.109175-4 3.500318+6 1.115000-4 3.599370+6 1.122018-4 3.692327+6 1.127000-4 3.741378+6 1.132000-4 3.777090+6 1.140000-4 3.808428+6 1.148154-4 3.811576+6 1.155000-4 3.795156+6 1.163000-4 3.757968+6 1.175000-4 3.674526+6 1.188502-4 3.554222+6 1.205000-4 3.387408+6 1.225000-4 3.176622+6 1.258925-4 2.833623+6 1.318257-4 2.320335+6 1.372400-4 1.936415+6 1.412538-4 1.691868+6 1.462177-4 1.429911+6 1.540000-4 1.100286+6 1.659587-4 7.513106+5 1.737801-4 5.972140+5 1.820000-4 4.775790+5 1.883649-4 4.066992+5 1.950000-4 3.481272+5 2.000000-4 3.122730+5 2.060000-4 2.768850+5 2.113489-4 2.511547+5 2.170000-4 2.288760+5 2.220000-4 2.126676+5 2.264644-4 2.005371+5 2.317395-4 1.886145+5 2.371374-4 1.786906+5 2.426610-4 1.705180+5 2.483133-4 1.638678+5 2.540973-4 1.585328+5 2.600160-4 1.543239+5 2.660725-4 1.510740+5 2.730000-4 1.483968+5 2.818383-4 1.462188+5 2.917427-4 1.449837+5 3.019952-4 1.446415+5 3.162278-4 1.451625+5 3.507519-4 1.481978+5 3.850000-4 1.506894+5 4.120975-4 1.515526+5 4.365158-4 1.514241+5 4.623810-4 1.504202+5 4.897788-4 1.485383+5 5.188000-4 1.458413+5 5.500000-4 1.423386+5 5.888437-4 1.373434+5 6.309573-4 1.314884+5 6.760830-4 1.250175+5 7.244360-4 1.180345+5 7.852356-4 1.095397+5 8.413951-4 1.020750+5 9.120108-4 9.334541+4 9.885531-4 8.475862+4 1.083927-3 7.528032+4 1.174898-3 6.738696+4 1.288250-3 5.895573+4 1.428894-3 5.025515+4 1.566751-3 4.327138+4 1.698244-3 3.775937+4 1.883649-3 3.145045+4 2.089296-3 2.597980+4 2.344229-3 2.081502+4 2.600160-3 1.690831+4 2.900000-3 1.346916+4 3.235937-3 1.062899+4 3.548134-3 8.651165+3 3.935501-3 6.809149+3 4.365158-3 5.319808+3 4.841724-3 4.125107+3 5.370318-3 3.174710+3 5.956621-3 2.425331+3 6.606934-3 1.839582+3 7.328245-3 1.385397+3 8.128305-3 1.036171+3 9.015711-3 7.698467+2 1.011579-2 5.492451+2 1.135011-2 3.889574+2 1.273503-2 2.733417+2 1.412538-2 1.976276+2 1.584893-2 1.367691+2 1.778279-2 9.396646+1 2.018366-2 6.169539+1 2.290868-2 4.020963+1 2.600160-2 2.601581+1 2.985383-2 1.605200+1 3.427678-2 9.826504+0 3.981072-2 5.728647+0 4.623810-2 3.311382+0 5.495409-2 1.745075+0 6.760830-2 8.022461-1 1.258925-1 7.648774-2 1.531088-1 3.675322-2 1.798871-1 2.023887-2 2.089296-1 1.171878-2 2.371374-1 7.431492-3 2.660725-1 4.945351-3 2.985383-1 3.315580-3 3.311311-1 2.330461-3 3.672823-1 1.650317-3 4.027170-1 1.222591-3 4.415705-1 9.117002-4 4.786301-1 7.097585-4 5.128614-1 5.758233-4 5.623413-1 4.392532-4 6.237348-1 3.266685-4 6.839117-1 2.526913-4 7.498942-1 1.968599-4 8.609938-1 1.365761-4 9.120108-1 1.179946-4 9.660509-1 1.026929-4 1.011579+0 9.248755-5 1.071519+0 8.174059-5 1.135011+0 7.269885-5 1.216186+0 6.360034-5 1.318257+0 5.481949-5 1.840772+0 3.041091-5 2.065380+0 2.498673-5 2.371374+0 1.990097-5 2.722701+0 1.597191-5 3.162278+0 1.268488-5 3.672823+0 1.015036-5 4.265795+0 8.181623-6 5.011872+0 6.535402-6 5.956621+0 5.177558-6 7.161434+0 4.071715-6 8.609938+0 3.225907-6 1.059254+1 2.502927-6 1.318257+1 1.929424-6 1.737801+1 1.402922-6 2.344229+1 1.003997-6 3.198895+1 7.156252-7 4.570882+1 4.891810-7 6.918310+1 3.171480-7 1.216186+2 1.775133-7 2.371374+2 9.010352-8 4.731513+2 4.489697-8 1.883649+3 1.123346-8 1.000000+5 2.11230-10 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 1.040200-4 1.040200-4 1.000000+5 1.040200-4 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 1.040200-4 0.0 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.500000+1 0.0 0.0 0.0 8.910000-6 1.429658+5 9.120108-6 1.443340+5 9.350000-6 1.465581+5 9.660509-6 1.508123+5 9.930000-6 1.556635+5 1.020000-5 1.615713+5 1.050000-5 1.693511+5 1.085000-5 1.799943+5 1.122018-5 1.930729+5 1.165000-5 2.104926+5 1.216186-5 2.342868+5 1.273503-5 2.647977+5 1.350000-5 3.116330+5 1.479108-5 4.059791+5 1.778279-5 6.967521+5 1.927525-5 8.778424+5 2.070000-5 1.070186+6 2.190000-5 1.243609+6 2.317395-5 1.436150+6 2.426610-5 1.605173+6 2.540973-5 1.781824+6 2.660725-5 1.962905+6 2.770000-5 2.121987+6 2.900000-5 2.301228+6 3.019952-5 2.455085+6 3.150000-5 2.607536+6 3.273407-5 2.737755+6 3.427678-5 2.881884+6 3.589219-5 3.012946+6 3.758374-5 3.130200+6 3.950000-5 3.240028+6 4.168694-5 3.339219+6 4.400000-5 3.416581+6 4.623810-5 3.463234+6 4.841724-5 3.481173+6 5.011872-5 3.476790+6 5.188000-5 3.455386+6 5.400000-5 3.406926+6 5.580000-5 3.347616+6 5.800000-5 3.255996+6 6.025596-5 3.144474+6 6.237348-5 3.027064+6 6.456542-5 2.896161+6 6.730000-5 2.725435+6 7.000000-5 2.554256+6 7.244360-5 2.399768+6 7.500000-5 2.240491+6 7.800000-5 2.058975+6 8.035261-5 1.922070+6 8.317638-5 1.763987+6 8.609938-5 1.607810+6 8.912509-5 1.455308+6 9.225714-5 1.307932+6 9.500000-5 1.187426+6 9.800000-5 1.064821+6 1.011579-4 9.465820+5 1.047129-4 8.265600+5 1.080000-4 7.269970+5 1.110000-4 6.451153+5 1.148154-4 5.527377+5 1.180000-4 4.848361+5 1.216186-4 4.166118+5 1.250000-4 3.605787+5 1.288250-4 3.053401+5 1.318257-4 2.674006+5 1.350000-4 2.317981+5 1.380384-4 2.016337+5 1.415000-4 1.714996+5 1.450000-4 1.451425+5 1.480000-4 1.254503+5 1.513561-4 1.062077+5 1.540000-4 9.290682+4 1.570000-4 7.960319+4 1.603245-4 6.685232+4 1.635000-4 5.639561+4 1.660000-4 4.920592+4 1.690000-4 4.165765+4 1.720000-4 3.516584+4 1.757924-4 2.829209+4 1.800000-4 2.216384+4 1.890000-4 1.323163+4 1.915000-4 1.156215+4 1.940000-4 1.018154+4 1.957000-4 9.392292+3 1.973000-4 8.750915+3 1.990000-4 8.169414+3 2.005000-4 7.735911+3 2.020000-4 7.371901+3 2.035000-4 7.072832+3 2.050000-4 6.834397+3 2.065380-4 6.648652+3 2.080000-4 6.523500+3 2.095000-4 6.443619+3 2.110000-4 6.409483+3 2.124000-4 6.416053+3 2.137962-4 6.457033+3 2.155000-4 6.550191+3 2.170000-4 6.668489+3 2.190000-4 6.874460+3 2.213095-4 7.173995+3 2.240000-4 7.596103+3 2.270000-4 8.146233+3 2.317395-4 9.154176+3 2.400000-4 1.120240+4 2.454709-4 1.268307+4 2.500000-4 1.394455+4 2.540973-4 1.509776+4 2.588600-4 1.644048+4 2.640000-4 1.787561+4 2.691535-4 1.928167+4 2.722701-4 2.011190+4 2.754229-4 2.093357+4 2.818383-4 2.254112+4 2.884032-4 2.408546+4 2.951209-4 2.555027+4 3.054921-4 2.762836+4 3.126079-4 2.893298+4 3.198895-4 3.013767+4 3.273407-4 3.123324+4 3.349654-4 3.221275+4 3.427678-4 3.307153+4 3.507519-4 3.380719+4 3.589219-4 3.441951+4 3.715352-4 3.511116+4 3.845918-4 3.554346+4 4.027170-4 3.578495+4 4.168694-4 3.585018+4 4.315191-4 3.571356+4 4.466836-4 3.539093+4 4.623810-4 3.490067+4 4.841724-4 3.402124+4 5.128614-4 3.265580+4 5.370318-4 3.140338+4 5.623413-4 3.002132+4 5.956621-4 2.816335+4 6.309573-4 2.622887+4 6.683439-4 2.425642+4 7.079458-4 2.228032+4 7.498942-4 2.033557+4 8.000000-4 1.822533+4 8.511380-4 1.630324+4 9.120108-4 1.430077+4 9.772372-4 1.246356+4 1.047129-3 1.079235+4 1.122018-3 9.287285+3 1.216186-3 7.737144+3 1.318257-3 6.398028+3 1.428894-3 5.253957+3 1.566751-3 4.161766+3 1.717908-3 3.270683+3 1.883649-3 2.550164+3 2.065380-3 1.972891+3 2.264644-3 1.514626+3 2.483133-3 1.154452+3 2.754229-3 8.437013+2 3.019952-3 6.343879+2 3.311311-3 4.738155+2 3.630781-3 3.514846+2 3.935501-3 2.689216+2 4.315191-3 1.966788+2 4.786301-3 1.372681+2 5.308844-3 9.508147+1 5.956621-3 6.275724+1 6.606934-3 4.289444+1 7.328245-3 2.912492+1 8.128305-3 1.964641+1 9.120108-3 1.258919+1 1.023293-2 8.006333+0 1.148154-2 5.054927+0 1.288250-2 3.169503+0 1.462177-2 1.882324+0 1.659587-2 1.109407+0 1.883649-2 6.492597-1 2.162719-2 3.592199-1 2.511886-2 1.876351-1 2.951209-2 9.248214-2 3.507519-2 4.299508-2 4.315191-2 1.701026-2 8.912509-2 6.471219-4 1.122019-1 2.306652-4 1.348963-1 1.015859-4 1.513561-1 6.122410-5 1.717908-1 3.539472-5 1.949845-1 2.062256-5 2.238721-1 1.151737-5 2.511886-1 7.136301-6 2.818383-1 4.454369-6 3.126079-1 2.935085-6 3.467369-1 1.948150-6 3.801894-1 1.362204-6 4.216965-1 9.177639-7 4.623810-1 6.509547-7 5.011872-1 4.852784-7 5.432503-1 3.655459-7 5.888437-1 2.774219-7 6.382635-1 2.119975-7 6.998420-1 1.570966-7 7.673615-1 1.172712-7 8.000000-1 1.029700-7 8.413951-1 8.706683-8 8.810489-1 7.515827-8 9.225714-1 6.535085-8 9.549926-1 5.917626-8 9.885531-1 5.387982-8 1.023293+0 4.935663-8 1.059254+0 4.547800-8 1.096478+0 4.212280-8 1.148154+0 3.830011-8 1.202264+0 3.505989-8 1.288250+0 3.097657-8 1.396368+0 2.703906-8 1.513561+0 2.369500-8 1.905461+0 1.579403-8 2.113489+0 1.325205-8 2.426610+0 1.056916-8 2.786121+0 8.491984-9 3.235937+0 6.751840-9 3.758374+0 5.409082-9 4.365158+0 4.364721-9 5.128614+0 3.490143-9 6.095369+0 2.767886-9 7.328245+0 2.178774-9 8.810489+0 1.727787-9 1.083927+1 1.341729-9 1.348963+1 1.035053-9 1.757924+1 7.63186-10 2.371374+1 5.46377-10 3.235937+1 3.89534-10 4.623810+1 2.66345-10 7.079458+1 1.70663-10 1.273503+2 9.33375-11 2.540973+2 4.63082-11 5.069907+2 2.30836-11 2.018366+3 5.77757-12 1.000000+5 1.16420-13 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.500000+1 0.0 0.0 0.0 8.910000-6 8.910000-6 1.000000+5 8.910000-6 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.500000+1 0.0 0.0 0.0 8.910000-6 0.0 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.600000+1 0.0 0.0 0.0 7.950000-6 2.361297+5 8.150000-6 2.372492+5 8.350000-6 2.395686+5 8.550000-6 2.430298+5 8.770000-6 2.480749+5 9.015711-6 2.553288+5 9.225714-6 2.627162+5 9.500000-6 2.740464+5 9.772372-6 2.869957+5 1.011579-5 3.056802+5 1.050000-5 3.295654+5 1.100000-5 3.650306+5 1.161449-5 4.149228+5 1.230269-5 4.786440+5 1.350000-5 6.082009+5 1.678804-5 1.077612+6 1.850000-5 1.382198+6 2.000000-5 1.676936+6 2.137962-5 1.963982+6 2.270000-5 2.246646+6 2.398833-5 2.522767+6 2.511886-5 2.760426+6 2.630268-5 2.999081+6 2.754229-5 3.233331+6 2.884032-5 3.459253+6 3.019952-5 3.673084+6 3.162278-5 3.870259+6 3.311311-5 4.047971+6 3.467369-5 4.206571+6 3.650000-5 4.361308+6 3.850000-5 4.495074+6 4.073803-5 4.606120+6 4.315191-5 4.686271+6 4.518559-5 4.720240+6 4.731513-5 4.722201+6 4.954502-5 4.689423+6 5.150000-5 4.631309+6 5.350000-5 4.543760+6 5.559043-5 4.425801+6 5.754399-5 4.295974+6 5.956621-5 4.145248+6 6.165950-5 3.975299+6 6.400000-5 3.774695+6 6.650000-5 3.555335+6 6.918310-5 3.319300+6 7.161434-5 3.107184+6 7.413102-5 2.892959+6 7.673615-5 2.679621+6 7.943282-5 2.467662+6 8.222426-5 2.257727+6 8.511380-5 2.052322+6 8.810489-5 1.853283+6 9.120108-5 1.660922+6 9.440609-5 1.476744+6 9.772372-5 1.303118+6 1.010000-4 1.147998+6 1.040000-4 1.019175+6 1.071519-4 8.971017+5 1.100000-4 7.980620+5 1.135011-4 6.895228+5 1.170000-4 5.939929+5 1.205000-4 5.102996+5 1.240000-4 4.373377+5 1.273503-4 3.762382+5 1.303167-4 3.284329+5 1.338900-4 2.779634+5 1.365000-4 2.455703+5 1.400000-4 2.073468+5 1.430000-4 1.787816+5 1.462177-4 1.519819+5 1.496236-4 1.275222+5 1.530000-4 1.067706+5 1.560000-4 9.087348+4 1.590000-4 7.707705+4 1.621810-4 6.449462+4 1.650000-4 5.491797+4 1.680000-4 4.616206+4 1.705000-4 3.986599+4 1.740000-4 3.239117+4 1.841500-4 1.783412+4 1.865000-4 1.566763+4 1.890000-4 1.375733+4 1.908000-4 1.260984+4 1.927525-4 1.156179+4 1.945000-4 1.078386+4 1.957000-4 1.033105+4 1.973000-4 9.823499+3 1.985000-4 9.510709+3 2.000000-4 9.196120+3 2.015000-4 8.960902+3 2.030000-4 8.799416+3 2.045000-4 8.706330+3 2.058000-4 8.677102+3 2.074600-4 8.704080+3 2.090000-4 8.788753+3 2.107000-4 8.943365+3 2.123000-4 9.142686+3 2.140000-4 9.406755+3 2.162719-4 9.835724+3 2.190000-4 1.045269+4 2.215000-4 1.110263+4 2.344229-4 1.533372+4 2.379860-4 1.665674+4 2.426610-4 1.842273+4 2.454709-4 1.949331+4 2.483133-4 2.057906+4 2.511886-4 2.167677+4 2.540973-4 2.278313+4 2.588600-4 2.457734+4 2.645600-4 2.667993+4 2.691535-4 2.832595+4 2.754229-4 3.048535+4 2.818383-4 3.257346+4 2.884032-4 3.456763+4 2.951209-4 3.644808+4 3.054921-4 3.909783+4 3.126079-4 4.073530+4 3.198895-4 4.222035+4 3.273407-4 4.354325+4 3.349654-4 4.469748+4 3.427678-4 4.567977+4 3.548134-4 4.683114+4 3.672823-4 4.760700+4 3.801894-4 4.803096+4 3.935501-4 4.813658+4 4.168694-4 4.798187+4 4.315191-4 4.761552+4 4.466836-4 4.701923+4 4.677351-4 4.590938+4 4.897788-4 4.449759+4 5.188000-4 4.244827+4 5.432503-4 4.062169+4 5.754399-4 3.815133+4 6.095369-4 3.555454+4 6.456542-4 3.290694+4 6.839116-4 3.025003+4 7.244360-4 2.763190+4 7.673615-4 2.509118+4 8.222426-4 2.218800+4 8.810489-4 1.947769+4 9.440609-4 1.697991+4 1.011579-3 1.470568+4 1.096478-3 1.234022+4 1.188502-3 1.027372+4 1.288250-3 8.489288+3 1.396368-3 6.965061+3 1.513561-3 5.677036+3 1.659587-3 4.460481+3 1.819701-3 3.477518+3 2.000000-3 2.673304+3 2.187762-3 2.073229+3 2.371374-3 1.639447+3 2.570396-3 1.287524+3 2.754229-3 1.040107+3 3.000000-3 7.923413+2 3.311311-3 5.743164+2 3.672823-3 4.064103+2 4.073803-3 2.854372+2 4.677351-3 1.765958+2 5.188000-3 1.223437+2 5.754399-3 8.417819+1 6.309573-3 5.999666+1 6.998420-3 4.070520+1 7.762471-3 2.742980+1 8.709636-3 1.755461+1 9.772372-3 1.114867+1 1.096478-2 7.031210+0 1.230269-2 4.403794+0 1.380384-2 2.738841+0 1.548817-2 1.690766+0 1.757924-2 9.871714-1 1.995262-2 5.721895-1 2.290868-2 3.131935-1 2.660725-2 1.617309-1 3.126079-2 7.874579-2 3.758374-2 3.430505-2 4.677351-2 1.267995-2 9.120108-2 5.963265-4 1.135011-1 2.204571-4 1.333521-1 1.063550-4 1.500000-1 6.287400-5 1.678804-1 3.833568-5 1.883649-1 2.328695-5 2.162719-1 1.291088-5 2.398833-1 8.352741-6 2.630268-1 5.708671-6 2.884032-1 3.929096-6 3.162278-1 2.723916-6 3.467369-1 1.902732-6 3.758374-1 1.399300-6 4.168694-1 9.508325-7 4.466836-1 7.393632-7 4.786301-1 5.787962-7 5.011872-1 4.937474-7 5.370318-1 3.926787-7 5.821032-1 3.030311-7 6.606935-1 2.032038-7 7.161434-1 1.585636-7 7.762471-1 1.245749-7 8.511380-1 9.498265-8 9.015711-1 8.072057-8 9.440609-1 7.132803-8 9.885531-1 6.346371-8 1.035142+0 5.691287-8 1.083927+0 5.142873-8 1.135011+0 4.677688-8 1.202264+0 4.186063-8 1.303167+0 3.615823-8 1.428894+0 3.083155-8 1.513561+0 2.795809-8 1.862087+0 1.939458-8 2.065380+0 1.625160-8 2.371374+0 1.294343-8 2.722701+0 1.038792-8 3.162278+0 8.250167-9 3.672823+0 6.601872-9 4.265795+0 5.321414-9 5.011872+0 4.250648-9 5.956621+0 3.367531-9 7.161434+0 2.648316-9 8.609938+0 2.098173-9 1.059254+1 1.627950-9 1.318257+1 1.254968-9 1.737801+1 9.12511-10 2.344229+1 6.53022-10 3.198895+1 4.65448-10 4.570882+1 3.18170-10 6.918310+1 2.06276-10 1.216186+2 1.15455-10 2.398833+2 5.79263-11 4.786301+2 2.88658-11 1.905461+3 7.22253-12 1.000000+5 1.37390-13 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.600000+1 0.0 0.0 0.0 7.950000-6 7.950000-6 1.000000+5 7.950000-6 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.600000+1 0.0 0.0 0.0 7.950000-6 0.0 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.223000-5 3.305680+5 5.308844-5 3.111580+5 5.700000-5 2.349440+5 5.900000-5 2.062520+5 6.095369-5 1.835996+5 6.300000-5 1.644102+5 6.500000-5 1.491554+5 6.683439-5 1.375523+5 6.918310-5 1.252880+5 7.161434-5 1.149527+5 7.413102-5 1.061503+5 7.673615-5 9.856873+4 8.035261-5 8.993860+4 8.413951-5 8.262875+4 8.810489-5 7.635338+4 9.332543-5 6.968462+4 9.885531-5 6.411242+4 1.047129-4 5.946749+4 1.109175-4 5.558120+4 1.190000-4 5.159880+4 1.698244-4 3.672586+4 2.041738-4 3.068471+4 2.300000-4 2.712120+4 2.754229-4 2.228054+4 3.126079-4 1.928988+4 3.715352-4 1.569516+4 4.315191-4 1.304137+4 5.188000-4 1.028793+4 6.095369-4 8.297787+3 7.244360-4 6.541849+3 8.609938-4 5.118933+3 1.023293-3 3.977514+3 1.244515-3 2.964496+3 1.531087-3 2.154215+3 1.905461-3 1.526429+3 2.454709-3 1.016269+3 3.126079-3 6.839622+2 3.935501-3 4.656167+2 4.841724-3 3.270290+2 5.888437-3 2.325760+2 7.161434-3 1.642003+2 8.709636-3 1.150385+2 1.047129-2 8.154438+1 1.273503-2 5.614016+1 1.566751-2 3.752449+1 2.041738-2 2.223036+1 2.483133-2 1.498180+1 2.951209-2 1.050110+1 3.467369-2 7.474641+0 4.120975-2 5.154860+0 4.954502-2 3.441055+0 5.956621-2 2.279245+0 7.244360-2 1.459622+0 8.511380-2 1.004901+0 1.059254-1 6.003183-1 1.364583-1 3.278193-1 2.570396-1 7.077739-2 3.198895-1 4.192266-2 3.845918-1 2.716104-2 4.518559-1 1.870462-2 5.188000-1 1.367300-2 6.025596-1 9.815297-3 6.918310-1 7.278926-3 7.943282-1 5.436531-3 9.015711-1 4.184946-3 1.011579+0 3.322872-3 1.216186+0 2.317901-3 1.364583+0 1.863309-3 1.531087+0 1.507511-3 1.737801+0 1.203253-3 1.972423+0 9.674412-4 2.264644+0 7.685534-4 2.600160+0 6.152689-4 3.000000+0 4.924100-4 3.467369+0 3.958426-4 4.027170+0 3.181920-4 4.731513+0 2.534821-4 5.623413+0 2.002958-4 6.683439+0 1.594881-4 8.035261+0 1.260006-4 9.772372+0 9.888601-5 1.216186+1 7.601347-5 1.479108+1 6.047917-5 1.819701+1 4.771393-5 2.400000+1 3.505200-5 3.273407+1 2.501054-5 4.731513+1 1.689861-5 7.244360+1 1.083269-5 1.303167+2 5.926265-6 2.600160+2 2.940986-6 5.188000+2 1.466193-6 2.065380+3 3.670140-7 1.000000+5 7.567600-9 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.223000-5 5.223000-5 1.000000+5 5.223000-5 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.223000-5 0.0 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 3.409000-5 6.674160+6 3.480000-5 6.394640+6 3.589219-5 5.951442+6 3.758374-5 5.302160+6 4.000000-5 4.503840+6 4.220000-5 3.890340+6 4.466836-5 3.309497+6 4.731513-5 2.791254+6 5.069907-5 2.258601+6 6.309573-5 1.134967+6 7.079458-5 7.956414+5 8.222426-5 5.064370+5 1.122018-4 1.998228+5 1.288250-4 1.329612+5 1.462177-4 9.217673+4 1.621810-4 6.879164+4 1.778279-4 5.338191+4 1.950000-4 4.170720+4 2.113489-4 3.385106+4 2.264644-4 2.847898+4 2.426610-4 2.412288+4 2.600160-4 2.057557+4 2.786121-4 1.767274+4 2.985383-4 1.528736+4 3.198895-4 1.332454+4 3.427678-4 1.170853+4 3.672823-4 1.036560+4 3.935501-4 9.240459+3 4.216965-4 8.289146+3 4.518559-4 7.483609+3 4.897788-4 6.687381+3 5.432503-4 5.836431+3 6.095369-4 5.063169+3 7.161434-4 4.190914+3 1.047129-3 2.717150+3 1.274000-3 2.156997+3 1.513561-3 1.748379+3 1.778279-3 1.425091+3 2.089296-3 1.152759+3 2.426610-3 9.398962+2 2.818383-3 7.606661+2 3.235937-3 6.213618+2 3.715352-3 5.040026+2 4.168694-3 4.208604+2 4.786301-3 3.358516+2 5.495409-3 2.659300+2 6.237348-3 2.131959+2 7.079458-3 1.697479+2 8.035261-3 1.342464+2 9.225714-3 1.031155+2 1.135011-2 6.872236+1 1.318257-2 5.089380+1 1.500000-2 3.900107+1 1.698244-2 2.998094+1 1.905461-2 2.329375+1 2.187762-2 1.707219+1 2.511886-2 1.242219+1 2.884032-2 8.973947+0 3.311311-2 6.437219+0 3.845918-2 4.457698+0 4.466836-2 3.063933+0 5.248075-2 2.030485+0 6.165950-2 1.335909+0 7.413102-2 8.210240-1 9.120108-2 4.710104-1 1.174898-1 2.368891-1 2.041738-1 5.214797-2 2.540973-1 2.882573-2 3.054921-1 1.761846-2 3.589219-1 1.153166-2 4.120975-1 8.074455-3 4.731513-1 5.697025-3 5.370318-1 4.168405-3 6.095369-1 3.073361-3 6.839117-1 2.346537-3 7.673615-1 1.804602-3 8.709636-1 1.361243-3 9.440609-1 1.144888-3 1.023293+0 9.699948-4 1.148154+0 7.717608-4 1.273503+0 6.323276-4 1.428894+0 5.108282-4 1.659587+0 3.902503-4 1.883649+0 3.128799-4 2.137962+0 2.526405-4 2.454709+0 2.016156-4 2.818383+0 1.620956-4 3.273407+0 1.289596-4 3.801894+0 1.033713-4 4.415704+0 8.345667-5 5.188000+0 6.676849-5 6.165950+0 5.297908-5 7.413102+0 4.172141-5 8.912509+0 3.310312-5 1.100000+1 2.561600-5 1.380384+1 1.958163-5 1.778279+1 1.463945-5 2.371374+1 1.061814-5 3.235937+1 7.570124-6 4.623810+1 5.176013-6 6.998420+1 3.356481-6 1.244515+2 1.856984-6 2.483133+2 9.211366-7 4.954502+2 4.590916-7 1.972423+3 1.148944-7 1.000000+5 2.262400-9 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 3.409000-5 3.409000-5 1.000000+5 3.409000-5 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 3.409000-5 0.0 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 2.457000-5 1.541353+7 2.818383-5 9.863822+6 3.548134-5 4.722993+6 4.265795-5 2.592251+6 4.800000-5 1.768260+6 5.248075-5 1.332875+6 5.688529-5 1.040097+6 6.095369-5 8.465264+5 6.531306-5 6.938346+5 7.000000-5 5.726760+5 7.413102-5 4.916373+5 7.852356-5 4.243624+5 8.317638-5 3.685413+5 8.810489-5 3.220251+5 9.332543-5 2.830202+5 1.000000-4 2.441384+5 1.071519-4 2.121605+5 1.150000-4 1.851152+5 1.230269-4 1.636128+5 1.318257-4 1.451816+5 1.412538-4 1.296936+5 1.531087-4 1.145315+5 1.678804-4 1.001112+5 1.883649-4 8.526325+4 2.137962-4 7.204591+4 2.540973-4 5.784338+4 4.027170-4 3.255888+4 5.011872-4 2.460454+4 6.000000-4 1.939984+4 7.079458-4 1.548116+4 8.317638-4 1.234253+4 9.772372-4 9.767053+3 1.148154-3 7.673028+3 1.348963-3 5.983065+3 1.584893-3 4.630513+3 1.862087-3 3.558178+3 2.213095-3 2.663236+3 2.600160-3 2.017467+3 3.054921-3 1.516578+3 3.548134-3 1.155216+3 4.120975-3 8.734228+2 4.731513-3 6.699788+2 5.432503-3 5.103194+2 6.237348-3 3.858841+2 7.161434-3 2.896022+2 8.222426-3 2.157165+2 9.440609-3 1.594715+2 1.096478-2 1.140898+2 1.258925-2 8.315633+1 1.445440-2 6.014768+1 1.621810-2 4.560282+1 1.840772-2 3.340035+1 2.113489-2 2.360159+1 2.426610-2 1.655376+1 2.786121-2 1.152524+1 3.198895-2 7.965271+0 3.672823-2 5.465654+0 4.265795-2 3.606756+0 4.954502-2 2.362158+0 5.821032-2 1.486063+0 6.839116-2 9.277996-1 8.222426-2 5.374483-1 1.011580-1 2.885998-1 1.972423-1 3.797177-2 2.398833-1 2.107328-2 2.818383-1 1.306255-2 3.273407-1 8.440372-3 3.715352-1 5.872392-3 4.216965-1 4.115209-3 4.731513-1 2.999795-3 5.248075-1 2.272064-3 5.888437-1 1.681598-3 6.606935-1 1.254307-3 7.328245-1 9.701751-4 8.609938-1 6.575986-4 9.225714-1 5.600101-4 9.772372-1 4.925197-4 1.047129+0 4.254156-4 1.135011+0 3.615325-4 1.230269+0 3.094507-4 1.348963+0 2.608763-4 1.698244+0 1.728753-4 1.927525+0 1.387183-4 2.187762+0 1.121455-4 2.511886+0 8.960946-5 2.884032+0 7.212957-5 3.349654+0 5.745174-5 3.890451+0 4.610428-5 4.570882+0 3.666688-5 5.370318+0 2.938029-5 6.382635+0 2.334778-5 7.673615+0 1.841188-5 9.225714+0 1.462871-5 1.148154+1 1.122196-5 1.428894+1 8.675994-6 1.800000+1 6.659000-6 2.398833+1 4.834982-6 3.273407+1 3.448014-6 4.677351+1 2.358085-6 7.161434+1 1.511373-6 1.273503+2 8.364341-7 2.540973+2 4.149978-7 5.069907+2 2.068630-7 2.018366+3 5.177783-8 1.000000+5 1.043300-9 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 2.457000-5 2.457000-5 1.000000+5 2.457000-5 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 2.457000-5 0.0 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.600000+1 0.0 0.0 0.0 4.740000-6 3.053603+6 4.800000-6 3.112744+6 4.960000-6 3.239908+6 5.188000-6 3.396170+6 5.432503-6 3.534766+6 5.754399-6 3.679877+6 6.025596-6 3.774360+6 6.382635-6 3.869568+6 6.760830-6 3.939606+6 7.200000-6 3.986324+6 7.700000-6 4.006440+6 8.222426-6 3.996670+6 8.709636-6 3.962937+6 9.225714-6 3.905221+6 9.772372-6 3.823434+6 1.035142-5 3.718001+6 1.096478-5 3.589591+6 1.161449-5 3.437093+6 1.230269-5 3.264407+6 1.290000-5 3.109212+6 1.350000-5 2.949712+6 1.420000-5 2.763996+6 1.496236-5 2.565203+6 1.570000-5 2.379740+6 1.659587-5 2.167030+6 1.757924-5 1.951699+6 1.862087-5 1.745401+6 1.995262-5 1.514239+6 2.150000-5 1.288280+6 2.317395-5 1.087813+6 2.570396-5 8.540495+5 2.851018-5 6.655204+5 3.162278-5 5.153961+5 3.507519-5 3.961487+5 3.801894-5 3.208236+5 4.150000-5 2.531424+5 4.466836-5 2.059691+5 4.841724-5 1.631287+5 5.248075-5 1.281529+5 5.688529-5 1.000197+5 6.309573-5 7.211400+4 7.000000-5 5.153360+4 7.673615-5 3.801075+4 8.300000-5 2.912524+4 8.912509-5 2.273725+4 9.660509-5 1.704120+4 1.035142-4 1.321948+4 1.122018-4 9.765539+3 1.310000-4 5.395000+3 1.428894-4 3.876361+3 1.500000-4 3.236532+3 1.566751-4 2.772071+3 1.621810-4 2.463621+3 1.678804-4 2.199847+3 1.737801-4 1.974260+3 1.798871-4 1.781370+3 1.862087-4 1.616540+3 1.929400-4 1.472218+3 2.000000-4 1.348520+3 2.065380-4 1.270059+3 2.137962-4 1.199199+3 2.213095-4 1.139954+3 2.290868-4 1.090460+3 2.371374-4 1.049193+3 2.454709-4 1.014895+3 2.540973-4 9.865145+2 2.660725-4 9.563625+2 2.786121-4 9.333899+2 2.951209-4 9.125130+2 3.162278-4 8.941478+2 3.467369-4 8.780305+2 4.000000-4 8.585280+2 4.415704-4 8.331397+2 4.786301-4 8.078176+2 5.128614-4 7.822406+2 5.559043-4 7.478356+2 6.025596-4 7.094997+2 6.531306-4 6.676636+2 7.079458-4 6.238382+2 7.673615-4 5.790961+2 8.317638-4 5.339517+2 9.015711-4 4.890420+2 9.772372-4 4.449555+2 1.071519-3 3.964815+2 1.174898-3 3.506533+2 1.288250-3 3.078699+2 1.412538-3 2.684085+2 1.548817-3 2.324287+2 1.698244-3 1.999647+2 1.883649-3 1.675418+2 2.089296-3 1.392779+2 2.317395-3 1.149068+2 2.570396-3 9.408809+1 2.851018-3 7.645052+1 3.162278-3 6.165292+1 3.507519-3 4.934069+1 3.890451-3 3.918768+1 4.315191-3 3.088922+1 4.786301-3 2.416809+1 5.308844-3 1.877150+1 5.888437-3 1.447511+1 6.531306-3 1.108280+1 7.244360-3 8.426613+0 8.035261-3 6.363732+0 9.015711-3 4.622157+0 1.011579-2 3.331212+0 1.135011-2 2.383525+0 1.273503-2 1.692777+0 1.412538-2 1.235812+0 1.584893-2 8.647348-1 1.778279-2 6.008551-1 2.018366-2 3.995494-1 2.290868-2 2.638082-1 2.630268-2 1.664310-1 3.019952-2 1.041922-1 3.507519-2 6.219932-2 4.073803-2 3.685330-2 4.841724-2 1.998496-2 5.821032-2 1.031932-2 7.328245-2 4.478213-3 1.396368-1 4.247614-4 1.678804-1 2.181064-4 2.000000-1 1.165900-4 2.344229-1 6.651485-5 2.691535-1 4.111545-5 3.054921-1 2.664263-5 3.427678-1 1.808104-5 3.845918-1 1.235929-5 4.315191-1 8.508899-6 4.731513-1 6.355206-6 5.069907-1 5.133177-6 5.559043-1 3.894094-6 6.382635-1 2.600257-6 7.079458-1 1.933828-6 8.128305-1 1.317704-6 8.709636-1 1.089468-6 9.225714-1 9.366295-7 9.660509-1 8.352197-7 1.011579+0 7.499290-7 1.071519+0 6.612266-7 1.135011+0 5.874349-7 1.202264+0 5.251940-7 1.303167+0 4.526854-7 1.531087+0 3.416578-7 1.840772+0 2.467609-7 2.065380+0 2.027409-7 2.371374+0 1.614894-7 2.722701+0 1.295981-7 3.162278+0 1.029189-7 3.672823+0 8.235551-8 4.265795+0 6.638217-8 5.011872+0 5.302520-8 5.956621+0 4.200809-8 7.161434+0 3.303605-8 8.609938+0 2.617409-8 1.059254+1 2.030810-8 1.318257+1 1.565456-8 1.737801+1 1.138308-8 2.344229+1 8.146175-9 3.198895+1 5.806330-9 4.570882+1 3.969028-9 6.918310+1 2.573178-9 1.216186+2 1.440319-9 2.398833+2 7.22600-10 4.786301+2 3.60079-10 1.905461+3 9.00980-11 1.000000+5 1.71390-12 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.600000+1 0.0 0.0 0.0 4.740000-6 4.740000-6 1.000000+5 4.740000-6 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.600000+1 0.0 0.0 0.0 4.740000-6 0.0 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.700000+1 0.0 0.0 0.0 4.130000-6 6.277742+6 4.216965-6 6.380484+6 4.415704-6 6.557310+6 4.623810-6 6.697708+6 4.900000-6 6.825180+6 5.248075-6 6.912165+6 5.600000-6 6.942480+6 6.025596-6 6.920770+6 6.500000-6 6.847080+6 7.000000-6 6.727080+6 7.585776-6 6.548344+6 8.200000-6 6.330660+6 8.810489-6 6.091926+6 9.440609-6 5.827668+6 1.000000-5 5.583474+6 1.059254-5 5.316481+6 1.122018-5 5.029037+6 1.188502-5 4.724927+6 1.258925-5 4.407329+6 1.333521-5 4.079691+6 1.412538-5 3.746346+6 1.500000-5 3.400104+6 1.584893-5 3.089308+6 1.678804-5 2.774677+6 1.778279-5 2.475905+6 1.905461-5 2.143512+6 2.041738-5 1.841720+6 2.213095-5 1.531672+6 2.426610-5 1.230817+6 2.691535-5 9.552117+5 3.019952-5 7.148175+5 3.311311-5 5.633140+5 3.650000-5 4.347774+5 3.981072-5 3.422986+5 4.265795-5 2.813166+5 4.650000-5 2.183562+5 5.011872-5 1.738612+5 5.432503-5 1.351572+5 6.000000-5 9.819120+4 6.683439-5 6.878084+4 7.413102-5 4.846980+4 8.128305-5 3.524581+4 8.810489-5 2.648720+4 9.500000-5 2.015514+4 1.035142-4 1.466526+4 1.258925-4 7.023830+3 1.333521-4 5.682449+3 1.402400-4 4.748866+3 1.462177-4 4.116332+3 1.500000-4 3.783582+3 1.548817-4 3.433575+3 1.611900-4 3.063063+3 1.678804-4 2.748238+3 1.737801-4 2.522255+3 1.798871-4 2.328436+3 1.862087-4 2.162250+3 1.927525-4 2.019941+3 2.000000-4 1.890750+3 2.074600-4 1.801555+3 2.137962-4 1.740530+3 2.213095-4 1.681976+3 2.290868-4 1.633874+3 2.398833-4 1.583204+3 2.511886-4 1.544980+3 2.691535-4 1.503611+3 2.951209-4 1.459802+3 3.758374-4 1.371890+3 4.101300-4 1.333519+3 4.466836-4 1.280818+3 4.841724-4 1.225213+3 5.248075-4 1.163732+3 5.688529-4 1.097366+3 6.165950-4 1.027396+3 6.683439-4 9.549300+2 7.244360-4 8.815749+2 7.852356-4 8.085876+2 8.511380-4 7.370977+2 9.332543-4 6.582153+2 1.023293-3 5.833439+2 1.122018-3 5.132606+2 1.230269-3 4.483704+2 1.348963-3 3.889666+2 1.479108-3 3.351185+2 1.621810-3 2.866838+2 1.778279-3 2.436173+2 1.972423-3 2.013447+2 2.187762-3 1.653706+2 2.426610-3 1.348786+2 2.691535-3 1.092090+2 2.985383-3 8.776901+1 3.311311-3 6.999032+1 3.672823-3 5.539306+1 4.073803-3 4.351003+1 4.518559-3 3.391649+1 5.011872-3 2.624221+1 5.568000-3 2.007203+1 6.165950-3 1.536717+1 6.839116-3 1.163320+1 7.585776-3 8.745379+0 8.413951-3 6.529563+0 9.332543-3 4.842866+0 1.047129-2 3.449049+0 1.174898-2 2.438005+0 1.318257-2 1.710118+0 1.462177-2 1.234072+0 1.640590-2 8.525262-1 1.840772-2 5.847457-1 2.089296-2 3.833007-1 2.371374-2 2.494307-1 2.691535-2 1.611467-1 3.054921-2 1.033966-1 3.507519-2 6.324546-2 4.073803-2 3.684516-2 4.786301-2 2.042253-2 5.754399-2 1.031861-2 6.998420-2 4.953499-3 1.244515-1 5.632264-4 1.513561-1 2.706784-4 1.778279-1 1.490220-4 2.065380-1 8.626866-5 2.344229-1 5.469637-5 2.630268-1 3.639078-5 2.951209-1 2.439265-5 3.273407-1 1.714200-5 3.630781-1 1.213675-5 4.000000-1 8.853200-6 4.365158-1 6.700597-6 4.731513-1 5.214557-6 5.069907-1 4.229262-6 5.495409-1 3.336714-6 6.025596-1 2.563934-6 6.606935-1 1.981231-6 7.244360-1 1.542191-6 7.852356-1 1.246722-6 8.609938-1 9.815008-7 9.120108-1 8.503797-7 9.660509-1 7.418956-7 1.011579+0 6.691300-7 1.071519+0 5.920902-7 1.148154+0 5.151431-7 1.244515+0 4.416306-7 1.364583+0 3.732500-7 1.798871+0 2.288817-7 2.018366+0 1.878531-7 2.317395+0 1.494471-7 2.660725+0 1.197849-7 3.090295+0 9.500641-8 3.589219+0 7.593697-8 4.168694+0 6.114212-8 4.897788+0 4.878769-8 5.821032+0 3.861135-8 6.998420+0 3.033482-8 8.413951+0 2.401085-8 1.035142+1 1.861374-8 1.288250+1 1.433728-8 1.659587+1 1.069342-8 2.213095+1 7.738120-9 3.054921+1 5.439544-9 4.315191+1 3.760048-9 6.456542+1 2.464312-9 1.083927+2 1.444515-9 1.905461+2 8.13240-10 3.801894+2 4.04738-10 1.513561+3 1.01115-10 1.000000+5 1.52780-12 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.700000+1 0.0 0.0 0.0 4.130000-6 4.130000-6 1.000000+5 4.130000-6 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.700000+1 0.0 0.0 0.0 4.130000-6 0.0 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 5.780000-6 9.569020+6 6.165950-6 7.733177+6 7.079458-6 4.876115+6 8.500000-6 2.667600+6 1.000000-5 1.571114+6 1.188502-5 9.019724+5 1.364583-5 5.827836+5 1.531087-5 4.074921+5 1.717908-5 2.871718+5 1.900000-5 2.130880+5 2.070000-5 1.665036+5 2.238721-5 1.338584+5 2.400000-5 1.110262+5 2.580000-5 9.209220+4 2.754229-5 7.833055+4 2.951209-5 6.650913+4 3.150000-5 5.740760+4 3.350000-5 5.029860+4 3.589219-5 4.371042+4 3.845918-5 3.826279+4 4.150000-5 3.330000+4 4.500000-5 2.894640+4 4.841724-5 2.567189+4 5.328000-5 2.212027+4 5.888437-5 1.906856+4 6.531306-5 1.646442+4 7.585776-5 1.344677+4 8.709636-5 1.123219+4 1.023293-4 9.164557+3 1.174898-4 7.761268+3 1.318257-4 6.802731+3 1.659587-4 5.260368+3 1.862087-4 4.588669+3 2.113489-4 3.917594+3 2.483133-4 3.175108+3 3.054921-4 2.410361+3 3.801894-4 1.812079+3 4.168694-4 1.600057+3 6.237348-4 9.126992+2 7.244360-4 7.365234+2 9.772372-4 4.735076+2 1.174898-3 3.581264+2 1.445440-3 2.594658+2 1.840772-3 1.768442+2 2.398833-3 1.152670+2 2.917427-3 8.354052+1 3.311311-3 6.721929+1 5.188000-3 3.133938+1 6.095369-3 2.371382+1 7.498942-3 1.637026+1 9.120108-3 1.145070+1 1.109175-2 7.949971+0 1.348963-2 5.477388+0 1.640590-2 3.744553+0 1.995262-2 2.539735+0 2.398833-2 1.749365+0 2.884032-2 1.196149+0 3.467369-2 8.107824-1 4.168694-2 5.453222-1 5.011872-2 3.639601-1 6.025596-2 2.409512-1 7.328245-2 1.542270-1 8.609938-2 1.061304-1 1.071519-1 6.337352-2 1.396368-1 3.365095-2 2.630268-1 7.266191-3 3.273407-1 4.307937-3 3.935501-1 2.794145-3 4.623810-1 1.927226-3 5.308844-1 1.411226-3 6.095369-1 1.040576-3 6.998420-1 7.729989-4 8.035261-1 5.786591-4 9.120108-1 4.468460-4 1.035142+0 3.475463-4 1.230269+0 2.482234-4 1.396368+0 1.953892-4 1.566751+0 1.582375-4 1.778279+0 1.264646-4 2.018366+0 1.018187-4 2.317395+0 8.099994-5 2.660725+0 6.492368-5 3.090295+0 5.149487-5 3.589219+0 4.115952-5 4.168694+0 3.314069-5 4.897788+0 2.644425-5 5.821032+0 2.092820-5 6.918310+0 1.668778-5 8.317638+0 1.320300-5 1.023293+1 1.023080-5 1.273503+1 7.877211-6 1.621810+1 5.950678-6 2.041738+1 4.589329-6 2.600160+1 3.513064-6 3.548134+1 2.510018-6 5.128614+1 1.698875-6 8.035261+1 1.064957-6 1.479108+2 5.699377-7 2.951209+2 2.831684-7 5.888437+2 1.412769-7 2.344229+3 3.537385-8 1.000000+5 8.28070-10 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 5.780000-6 5.780000-6 1.000000+5 5.780000-6 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 5.780000-6 0.0 1.000000+5 1.000000+5 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 8.179280-7 1.025500+0 1.153060-6 1.025800+0 1.474070-6 1.026100+0 1.849410-6 1.026600+0 2.607240-6 1.027100+0 3.547200-6 1.027500+0 4.442830-6 1.028100+0 6.048830-6 1.028750+0 8.179280-6 1.029500+0 1.119360-5 1.030100+0 1.407730-5 1.031000+0 1.926250-5 1.032000+0 2.635590-5 1.033200+0 3.692020-5 1.034000+0 4.532290-5 1.035300+0 6.151940-5 1.036640+0 8.179280-5 1.038200+0 1.103820-4 1.039700+0 1.434080-4 1.041500+0 1.908030-4 1.043800+0 2.648410-4 1.046400+0 3.684770-4 1.048300+0 4.587640-4 1.051200+0 6.223030-4 1.054080+0 8.179280-4 1.057700+0 1.114890-3 1.061100+0 1.450180-3 1.065100+0 1.919880-3 1.070400+0 2.678420-3 1.076200+0 3.701570-3 1.080600+0 4.622650-3 1.087100+0 6.228250-3 1.093710+0 8.179280-3 1.102600+0 1.134060-2 1.110700+0 1.479070-2 1.120600+0 1.978600-2 1.133300+0 2.751210-2 1.147500+0 3.798690-2 1.158200+0 4.720830-2 1.174100+0 6.309310-2 1.190110+0 8.179280-2 1.205100+0 1.017980-1 1.227500+0 1.362290-1 1.250000+0 1.761000-1 1.265600+0 2.066780-1 1.294900+0 2.701630-1 1.331800+0 3.603310-1 1.362600+0 4.430720-1 1.397000+0 5.422700-1 1.433800+0 6.547950-1 1.477900+0 7.961890-1 1.500000+0 8.691000-1 1.562500+0 1.079880+0 1.641100+0 1.349570+0 1.706900+0 1.575070+0 1.811600+0 1.928460+0 1.937200+0 2.342090+0 2.000000+0 2.546000+0 2.044000+0 2.688000+0 2.163500+0 3.063410+0 2.372600+0 3.682000+0 2.686300+0 4.526520+0 3.000000+0 5.294000+0 3.500000+0 6.407830+0 4.000000+0 7.419000+0 5.000000+0 9.191000+0 6.000000+0 1.071000+1 7.000000+0 1.206000+1 8.000000+0 1.327000+1 9.000000+0 1.439000+1 1.000000+1 1.541000+1 1.100000+1 1.637000+1 1.200000+1 1.725000+1 1.300000+1 1.808000+1 1.400000+1 1.886000+1 1.500000+1 1.959000+1 1.600000+1 2.027000+1 1.800000+1 2.150000+1 2.000000+1 2.260000+1 2.200000+1 2.360000+1 2.400000+1 2.451000+1 2.600000+1 2.535000+1 2.800000+1 2.611000+1 3.000000+1 2.682000+1 4.000000+1 2.969000+1 5.000000+1 3.182000+1 6.000000+1 3.348000+1 8.000000+1 3.591000+1 1.000000+2 3.763000+1 1.500000+2 4.034000+1 2.000000+2 4.195000+1 3.000000+2 4.383000+1 4.000000+2 4.491000+1 5.000000+2 4.562000+1 6.000000+2 4.612000+1 8.000000+2 4.679000+1 1.000000+3 4.723000+1 1.500000+3 4.786000+1 2.000000+3 4.820000+1 3.000000+3 4.857000+1 4.000000+3 4.878000+1 5.000000+3 4.890000+1 6.000000+3 4.899000+1 8.000000+3 4.911000+1 1.000000+4 4.918000+1 1.500000+4 4.928000+1 2.000000+4 4.933000+1 3.000000+4 4.939000+1 4.000000+4 4.942000+1 5.000000+4 4.944000+1 6.000000+4 4.945000+1 8.000000+4 4.947000+1 1.000000+5 4.948000+1 1 92000 7 8 2.380510+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 9.203580-7 2.090400+0 1.249620-6 2.094700+0 1.620320-6 2.099900+0 2.155610-6 2.106600+0 2.998630-6 2.114000+0 4.148980-6 2.119500+0 5.165450-6 2.127900+0 7.005330-6 2.136250+0 9.203580-6 2.147000+0 1.261880-5 2.156900+0 1.639020-5 2.169000+0 2.187380-5 2.184500+0 3.040530-5 2.201800+0 4.206670-5 2.214800+0 5.241180-5 2.234200+0 7.050310-5 2.253680+0 9.203580-5 2.281500+0 1.289120-4 2.307000+0 1.693260-4 2.338200+0 2.276730-4 2.377400+0 3.152990-4 2.410200+0 4.010070-4 2.446800+0 5.101040-4 2.485900+0 6.422490-4 2.532900+0 8.219430-4 2.556430+0 9.203580-4 2.611900+0 1.173570-3 2.660400+0 1.418790-3 2.745300+0 1.898980-3 2.809000+0 2.299790-3 2.904500+0 2.962700-3 3.000000+0 3.698000-3 3.125000+0 4.768100-3 3.234400+0 5.801190-3 3.425800+0 7.810460-3 3.569300+0 9.469220-3 3.784700+0 1.216910-2 4.000000+0 1.507000-2 4.250000+0 1.861460-2 4.625000+0 2.418070-2 5.000000+0 2.996000-2 5.500000+0 3.788060-2 6.000000+0 4.590000-2 6.750000+0 5.783000-2 7.000000+0 6.175000-2 8.000000+0 7.705000-2 9.000000+0 9.166000-2 1.000000+1 1.055000-1 1.100000+1 1.186000-1 1.200000+1 1.308000-1 1.300000+1 1.424000-1 1.400000+1 1.533000-1 1.500000+1 1.637000-1 1.600000+1 1.735000-1 1.800000+1 1.916000-1 2.000000+1 2.081000-1 2.200000+1 2.230000-1 2.400000+1 2.367000-1 2.600000+1 2.493000-1 2.800000+1 2.610000-1 3.000000+1 2.718000-1 4.000000+1 3.162000-1 5.000000+1 3.495000-1 6.000000+1 3.757000-1 8.000000+1 4.148000-1 1.000000+2 4.429000-1 1.500000+2 4.889000-1 2.000000+2 5.175000-1 3.000000+2 5.520000-1 4.000000+2 5.726000-1 5.000000+2 5.867000-1 6.000000+2 5.969000-1 8.000000+2 6.110000-1 1.000000+3 6.204000-1 1.500000+3 6.344000-1 2.000000+3 6.423000-1 3.000000+3 6.509000-1 4.000000+3 6.561000-1 5.000000+3 6.592000-1 6.000000+3 6.614000-1 8.000000+3 6.643000-1 1.000000+4 6.662000-1 1.500000+4 6.686000-1 2.000000+4 6.701000-1 3.000000+4 6.715000-1 4.000000+4 6.724000-1 5.000000+4 6.730000-1 6.000000+4 6.733000-1 8.000000+4 6.737000-1 1.000000+5 6.740000-1 1 92000 7 8 2.380510+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 92000 7 9 2.380510+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 9.200000+1 1.000000+5 9.200000+1 5.000000+5 9.195900+1 7.500000+5 9.192100+1 9.375000+5 9.190010+1 1.000000+6 9.189400+1 1.250000+6 9.184700+1 1.500000+6 9.179700+1 1.875000+6 9.168590+1 2.000000+6 9.164300+1 2.375000+6 9.150020+1 2.500000+6 9.144800+1 2.875000+6 9.127770+1 3.000000+6 9.121600+1 3.250000+6 9.107850+1 3.625000+6 9.086710+1 4.000000+6 9.065400+1 4.437500+6 9.037950+1 4.812500+6 9.012610+1 5.000000+6 9.000300+1 5.500000+6 8.963180+1 5.875000+6 8.933810+1 6.437500+6 8.888200+1 6.500000+6 8.882800+1 7.000000+6 8.841500+1 7.875000+6 8.767130+1 9.000000+6 8.669000+1 1.000000+7 8.578800+1 1.250000+7 8.354900+1 1.500000+7 8.126400+1 1.750000+7 7.897800+1 2.000000+7 7.670600+1 2.375000+7 7.331550+1 2.500000+7 7.222100+1 2.875000+7 6.905310+1 3.000000+7 6.805000+1 3.437500+7 6.472550+1 3.500000+7 6.427940+1 3.812500+7 6.210670+1 4.000000+7 6.086400+1 4.500000+7 5.774230+1 4.750000+7 5.626480+1 5.000000+7 5.484200+1 5.500000+7 5.212010+1 6.000000+7 4.956800+1 6.750000+7 4.604870+1 7.000000+7 4.496100+1 8.000000+7 4.100200+1 9.000000+7 3.760900+1 1.000000+8 3.465500+1 1.109400+8 3.178810+1 1.125000+8 3.140220+1 1.203100+8 2.954900+1 1.250000+8 2.848800+1 1.359400+8 2.614530+1 1.437500+8 2.459790+1 1.453100+8 2.429900+1 1.500000+8 2.343300+1 1.718800+8 1.990350+1 1.875000+8 1.792210+1 1.906300+8 1.757670+1 2.000000+8 1.663300+1 2.171900+8 1.522330+1 2.289100+8 1.445130+1 2.375000+8 1.396660+1 2.429700+8 1.368660+1 2.500000+8 1.335900+1 2.812500+8 1.213490+1 2.875000+8 1.189550+1 2.937500+8 1.164740+1 3.000000+8 1.139200+1 3.375000+8 9.845840+0 3.500000+8 9.426500+0 3.812500+8 8.603490+0 3.937500+8 8.279750+0 4.000000+8 8.107400+0 4.125000+8 7.738020+0 4.234400+8 7.403470+0 4.425800+8 6.827530+0 4.750000+8 5.975850+0 4.784700+8 5.896950+0 4.928200+8 5.600400+0 5.000000+8 5.469200+0 5.179700+8 5.190100+0 5.330100+8 4.997230+0 5.569300+8 4.743650+0 6.000000+8 4.378100+0 7.000000+8 3.715100+0 7.500000+8 3.461370+0 7.750000+8 3.335210+0 8.000000+8 3.201600+0 8.250000+8 3.059020+0 8.468800+8 2.931310+0 9.500000+8 2.381220+0 1.000000+9 2.174600+0 1.045900+9 2.023850+0 1.088000+9 1.911110+0 1.139500+9 1.798390+0 1.204300+9 1.685670+0 1.250000+9 1.620500+0 1.258500+9 1.609350+0 1.344800+9 1.511770+0 1.461200+9 1.409880+0 1.500000+9 1.381000+0 1.812500+9 1.192160+0 1.937500+9 1.126240+0 2.000000+9 1.094000+0 2.139200+9 1.022940+0 2.272600+9 9.571710-1 2.443000+9 8.775540-1 2.602800+9 8.079860-1 2.750000+9 7.485950-1 2.752700+9 7.475410-1 2.959000+9 6.717810-1 3.148200+9 6.095000-1 3.379700+9 5.418990-1 3.670900+9 4.688380-1 3.914500+9 4.165610-1 4.185900+9 3.664030-1 4.476700+9 3.206420-1 4.825600+9 2.746910-1 5.000000+9 2.548300-1 5.375000+9 2.178730-1 5.703100+9 1.909780-1 6.277300+9 1.533920-1 7.031000+9 1.174240-1 8.000000+9 8.587900-2 9.500000+9 5.606230-2 1.00000+10 4.930700-2 1.27030+10 2.700330-2 1.84370+10 1.050200-2 2.45630+10 5.051360-3 1.00000+11 1.380000-4 1.68570+11 3.648030-5 3.34410+11 6.448560-6 8.62510+11 5.986880-7 2.83020+12 3.117230-8 1.00000+14 4.75430-12 3.16230+15 9.18236-16 1.00000+17 1.69900-19 1 92000 7 0 2.380510+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.32000-11 1.000000+2 1.320000-9 1.000000+3 1.320000-7 1.000000+4 1.320000-5 1.000000+5 1.320000-3 5.000000+5 3.300000-2 7.500000+5 7.425000-2 9.375000+5 1.160156-1 1.000000+6 1.320000-1 1.250000+6 2.043210-1 1.500000+6 2.910000-1 1.875000+6 4.467920-1 2.000000+6 5.051000-1 2.375000+6 6.967580-1 2.500000+6 7.659000-1 2.875000+6 9.866290-1 3.000000+6 1.064300+0 3.250000+6 1.224630+0 3.625000+6 1.475990+0 4.000000+6 1.737100+0 4.437500+6 2.049530+0 4.812500+6 2.320860+0 5.000000+6 2.457000+0 5.500000+6 2.818430+0 5.875000+6 3.087310+0 6.437500+6 3.485270+0 6.500000+6 3.528810+0 7.000000+6 3.875200+0 7.875000+6 4.464770+0 9.000000+6 5.202900+0 1.000000+7 5.851000+0 1.250000+7 7.481900+0 1.500000+7 9.136000+0 1.750000+7 1.077100+1 2.000000+7 1.235900+1 2.375000+7 1.464710+1 2.500000+7 1.538700+1 2.875000+7 1.753390+1 3.000000+7 1.822200+1 3.437500+7 2.049860+1 3.500000+7 2.080900+1 3.812500+7 2.230200+1 4.000000+7 2.315700+1 4.500000+7 2.530030+1 4.750000+7 2.632000+1 5.000000+7 2.732100+1 5.500000+7 2.927370+1 6.000000+7 3.117800+1 6.750000+7 3.394600+1 7.000000+7 3.484200+1 8.000000+7 3.827000+1 9.000000+7 4.141800+1 1.000000+8 4.425400+1 1.109400+8 4.698790+1 1.125000+8 4.734870+1 1.203100+8 4.906720+1 1.250000+8 5.003600+1 1.359400+8 5.211750+1 1.437500+8 5.349370+1 1.453100+8 5.376190+1 1.500000+8 5.455100+1 1.718800+8 5.797660+1 1.875000+8 6.021060+1 1.906300+8 6.063800+1 2.000000+8 6.189400+1 2.171900+8 6.406320+1 2.289100+8 6.544710+1 2.375000+8 6.642050+1 2.429700+8 6.701520+1 2.500000+8 6.776100+1 2.812500+8 7.074050+1 2.875000+8 7.128230+1 2.937500+8 7.180120+1 3.000000+8 7.230600+1 3.375000+8 7.495260+1 3.500000+8 7.571700+1 3.812500+8 7.739550+1 3.937500+8 7.799430+1 4.000000+8 7.828200+1 4.125000+8 7.882300+1 4.234400+8 7.926230+1 4.425800+8 7.999280+1 4.750000+8 8.109320+1 4.784700+8 8.120020+1 4.928200+8 8.163320+1 5.000000+8 8.184600+1 5.179700+8 8.234210+1 5.330100+8 8.273450+1 5.569300+8 8.332360+1 6.000000+8 8.428000+1 7.000000+8 8.608100+1 7.500000+8 8.680210+1 7.750000+8 8.711550+1 8.000000+8 8.742000+1 8.250000+8 8.768630+1 8.468800+8 8.791350+1 9.500000+8 8.877040+1 1.000000+9 8.909700+1 1.045900+9 8.934800+1 1.088000+9 8.955350+1 1.139500+9 8.976890+1 1.204300+9 9.000540+1 1.250000+9 9.014220+1 1.258500+9 9.016610+1 1.344800+9 9.039790+1 1.461200+9 9.064190+1 1.500000+9 9.071900+1 1.812500+9 9.117720+1 1.937500+9 9.131390+1 2.000000+9 9.137900+1 2.139200+9 9.149060+1 2.272600+9 9.157610+1 2.443000+9 9.166810+1 2.602800+9 9.173960+1 2.750000+9 9.178930+1 2.752700+9 9.179020+1 2.959000+9 9.184290+1 3.148200+9 9.187880+1 3.379700+9 9.191980+1 3.670900+9 9.194210+1 3.914500+9 9.195900+1 4.185900+9 9.197660+1 4.476700+9 9.198260+1 4.825600+9 9.198900+1 5.000000+9 9.199200+1 5.375000+9 9.199320+1 5.703100+9 9.199420+1 6.277300+9 9.199590+1 7.031000+9 9.199780+1 8.000000+9 9.200000+1 9.500000+9 9.200000+1 1.00000+10 9.200000+1 1.27030+10 9.200000+1 1.84370+10 9.200000+1 2.45630+10 9.200000+1 1.00000+11 9.200000+1 1.68570+11 9.200000+1 3.34410+11 9.200000+1 8.62510+11 9.200000+1 2.83020+12 9.200000+1 1.00000+14 9.200000+1 3.16230+15 9.200000+1 1.00000+17 9.200000+1 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.110464-5 1.006317-6 5.157277-6 1.008705-6 3.329359-6 1.011094-6 1.984059-6 1.013483-6 1.091447-6 1.015872-6 5.542491-7 1.018260-6 0.0 1.038235-6 0.0 1.040791-6 3.431723-8 1.043346-6 6.790434-8 1.045902-6 1.240328-7 1.048457-6 2.091364-7 1.051013-6 3.255191-7 1.053568-6 4.677105-7 1.056124-6 6.203428-7 1.058679-6 7.595217-7 1.061235-6 8.584255-7 1.063790-6 8.956099-7 1.066345-6 8.625597-7 1.068901-6 7.668552-7 1.071456-6 6.293490-7 1.076567-6 3.334339-7 1.079123-6 2.152533-7 1.081678-6 1.282756-7 1.084234-6 7.056545-8 1.086789-6 3.583392-8 1.089345-6 0.0 1.394369-6 0.0 1.399517-6 2.699981-1 1.401233-6 3.588559-1 1.404666-6 6.554796-1 1.408098-6 1.105229+0 1.411959-6 1.814011+0 1.417911-6 3.164677+0 1.422255-6 4.079064+0 1.425573-6 4.554545+0 1.429054-6 4.714584+0 1.432678-6 4.476606+0 1.436064-6 3.944886+0 1.441679-6 2.693624+0 1.445850-6 1.762107+0 1.449497-6 1.108891+0 1.452714-6 6.779013-1 1.456147-6 3.729191-1 1.461080-6 1.066316-1 1.463011-6 0.0 1.543352-6 0.0 1.549050-6 1.604190-1 1.550950-6 2.132138-1 1.554749-6 3.894524-1 1.558547-6 6.566702-1 1.562821-6 1.077793+0 1.569410-6 1.880289+0 1.574217-6 2.423571+0 1.578120-6 2.713135+0 1.581743-6 2.801164+0 1.585679-6 2.665693+0 1.589552-6 2.338115+0 1.595385-6 1.642367+0 1.600334-6 1.046954+0 1.604370-6 6.588460-1 1.607931-6 4.027742-1 1.611849-6 2.181693-1 1.617191-6 6.335502-2 1.619328-6 0.0 1.642687-6 0.0 1.648752-6 3.798916-7 1.650774-6 5.049159-7 1.654817-6 9.222701-7 1.658860-6 1.555074-6 1.662904-6 2.420460-6 1.666947-6 3.477752-6 1.670990-6 4.612679-6 1.675033-6 5.647571-6 1.679077-6 6.382989-6 1.683120-6 6.659481-6 1.687163-6 6.413730-6 1.691207-6 5.702100-6 1.695250-6 4.679646-6 1.703336-6 2.479312-6 1.707380-6 1.600558-6 1.711423-6 9.538179-7 1.715466-6 5.247030-7 1.719509-6 2.664500-7 1.723553-6 0.0 1.998822-6 0.0 2.003741-6 2.050772-2 2.008661-6 4.057912-2 2.013581-6 7.412108-2 2.018501-6 1.249783-1 2.023421-6 1.945277-1 2.030801-6 3.250514-1 2.038180-6 4.538844-1 2.043100-6 5.129885-1 2.048020-6 5.352097-1 2.052940-6 5.154591-1 2.057860-6 4.582668-1 2.065239-6 3.305637-1 2.072619-6 1.992576-1 2.077539-6 1.286337-1 2.082459-6 7.665651-2 2.087379-6 4.216938-2 2.092299-6 2.141408-2 2.097218-6 0.0 2.103075-6 0.0 2.108252-6 2.404708-8 2.113428-6 4.758253-8 2.118605-6 8.691339-8 2.123781-6 1.465479-7 2.128958-6 2.281006-7 2.134134-6 3.277383-7 2.139311-6 4.346921-7 2.144487-6 5.322188-7 2.149664-6 6.015235-7 2.154840-6 6.275798-7 2.160016-6 6.044205-7 2.165193-6 5.373576-7 2.170369-6 4.410030-7 2.180722-6 2.336468-7 2.185899-6 1.508342-7 2.191075-6 8.988640-8 2.196252-6 4.944725-8 2.201428-6 2.510986-8 2.206605-6 0.0 2.581588-6 0.0 2.591119-6 3.212735+0 2.594296-6 4.270063+0 2.600650-6 7.799619+0 2.607005-6 1.315123+1 2.614153-6 2.158511+1 2.625285-6 3.782583+1 2.632819-6 4.814924+1 2.639359-6 5.419500+1 2.645566-6 5.617681+1 2.652513-6 5.326864+1 2.659023-6 4.654189+1 2.676901-6 2.096749+1 2.683255-6 1.353588+1 2.689610-6 8.066417+0 2.695964-6 4.437402+0 2.705151-6 1.249999+0 2.708672-6 3.390450-8 2.710617-6 4.345261-8 2.717256-6 8.809981-8 2.721338-6 1.257557-7 2.723895-6 1.756073-7 2.728036-6 2.678714-7 2.734224-6 4.222983-7 2.741432-6 6.667383-7 2.748131-6 9.557080-7 2.763730-6 1.733870-6 2.770369-6 2.004930-6 2.778198-6 2.191921-6 2.791875-6 3.389924-2 2.798713-6 6.191776-2 2.805551-6 1.044003-1 2.812389-6 1.624970-1 2.830148-6 3.477945-1 2.834148-6 3.881137-1 2.840812-6 4.314179-1 2.846580-6 4.470796-1 2.853418-6 4.305812-1 2.860256-6 3.828064-1 2.870514-6 2.761315-1 2.880771-6 1.664469-1 2.887609-6 1.074523-1 2.894447-6 6.403388-2 2.901285-6 3.522556-2 2.908289-6 1.745523-2 2.914962-6 0.0 3.037057-6 0.0 3.052007-6 8.592554+0 3.059483-6 1.569500+1 3.067323-6 2.718070+1 3.075733-6 4.432143+1 3.096045-6 9.397185+1 3.105496-6 1.093076+2 3.112734-6 1.127851+2 3.120343-6 1.074147+2 3.128476-6 9.303607+1 3.141165-6 6.180124+1 3.149561-6 4.144504+1 3.157037-6 2.668660+1 3.164137-6 1.623188+1 3.171613-6 8.929288+0 3.186016-6 3.533274-1 3.186563-6 2.353959-2 3.197850-6 8.335051-2 3.205682-6 1.522313-1 3.213515-6 2.566591-1 3.221347-6 3.994534-1 3.233096-6 6.673963-1 3.244845-6 9.318230-1 3.253899-6 1.060199+0 3.261297-6 1.101026+0 3.269325-6 1.056657+0 3.277927-6 9.281700-1 3.293945-6 6.059177-1 3.299673-6 5.021760-1 3.307505-6 3.928024-1 3.315356-6 3.241108-1 3.323457-6 2.899369-1 3.333990-6 2.740279-1 3.338835-6 2.577542-1 3.344277-6 2.674158-1 3.352330-6 2.707579-1 3.360383-6 2.621400-1 3.368436-6 2.428230-1 3.376489-6 2.148408-1 3.400649-6 1.143765-1 3.408702-6 8.570982-2 3.414081-6 6.900471-2 3.420663-6 5.846131-2 3.428764-6 5.267723-2 3.436864-6 5.328311-2 3.449258-6 5.984922-2 3.453065-6 6.026488-2 3.457584-6 6.428937-2 3.465910-6 6.707413-2 3.474236-6 6.459891-2 3.481029-6 5.876848-2 3.498606-6 9.203183-2 3.507176-6 1.260969-1 3.515866-6 1.860281-1 3.524314-6 2.704248-1 3.545401-6 5.433028-1 3.549574-6 5.986926-1 3.558591-6 6.811277-1 3.567160-6 7.126360-1 3.575729-6 6.918427-1 3.584298-6 6.252930-1 3.610006-6 3.222055-1 3.618575-6 2.384411-1 3.627144-6 1.738804-1 3.635714-6 1.262827-1 3.641870-6 1.009863-1 3.648567-6 2.615148-1 3.652852-6 3.658912-1 3.659798-6 5.522573-1 3.668762-6 9.616758-1 3.678858-6 1.700716+0 3.687685-6 2.580684+0 3.714239-6 5.786091+0 3.724592-6 6.560458+0 3.732712-6 6.750096+0 3.743199-6 6.330621+0 3.753020-6 5.435976+0 3.777352-6 2.536167+0 3.785294-6 1.772416+0 3.794258-6 1.165428+0 3.803222-6 7.860501-1 3.821150-6 4.032783-1 3.852149-6 6.796172-1 3.865749-6 7.673077-1 3.875265-6 8.003513-1 3.884780-6 8.051238-1 3.893278-6 7.848685-1 3.908394-6 7.038855-1 3.930157-6 5.513355-1 3.947156-6 4.697043-1 3.968786-6 4.115440-1 3.975394-6 4.000863-1 4.008076-6 3.799212-1 4.028278-6 7.352891-1 4.038185-6 1.030103+0 4.048958-6 1.536494+0 4.059880-6 2.237084+0 4.087221-6 4.293116+0 4.098826-6 4.843555+0 4.108699-6 4.967944+0 4.119492-6 4.698133+0 4.130667-6 4.082338+0 4.156229-6 2.276764+0 4.166693-6 1.705434+0 4.176276-6 1.323079+0 4.186040-6 1.058647+0 4.202242-6 7.444938-1 4.205199-6 6.810169-1 4.227600-6 5.825348-1 4.246832-6 4.935872-1 4.256889-6 4.666485-1 4.269138-6 4.485216-1 4.286854-6 4.483099-1 4.292135-6 4.591226-1 4.313264-6 6.371193-1 4.324389-6 7.796601-1 4.334929-6 9.605629-1 4.359042-6 1.507123+0 4.370360-6 1.776921+0 4.381156-6 1.968600+0 4.390213-6 2.069209+0 4.400910-6 2.082719+0 4.411608-6 1.986398+0 4.421314-6 1.839494+0 4.443586-6 2.176415+0 4.454387-6 2.631129+0 4.465724-6 3.532159+0 4.476307-6 4.771853+0 4.510542-6 9.816454+0 4.519819-6 1.074361+1 4.530850-6 1.109376+1 4.542770-6 1.052656+1 4.554975-6 9.106598+0 4.585078-6 4.424328+0 4.595839-6 3.081199+0 4.606400-6 2.107652+0 4.616935-6 1.462411+0 4.638570-6 6.689743-1 4.663074-6 7.391292-1 4.700023-6 9.166378-1 4.716243-6 9.741313-1 4.728030-6 9.862140-1 4.740000-6 9.705690-1 4.768532-6 8.587562-1 4.794808-6 7.510843-1 4.816885-6 7.060695-1 4.839929-6 6.860908-1 4.878619-6 6.964533-1 4.914643-6 7.512749-1 4.933742-6 8.132872-1 4.958030-6 1.173814+0 4.971692-6 1.481365+0 4.983835-6 1.850522+0 4.999891-6 2.474855+0 5.024680-6 3.528060+0 5.043036-6 4.072123+0 5.056698-6 4.134555+0 5.068842-6 3.941190+0 5.081745-6 3.503510+0 5.115899-6 1.971839+0 5.128043-6 1.538524+0 5.140186-6 1.222692+0 5.152330-6 1.014015+0 5.176618-6 7.700924-1 5.181631-6 7.739563-1 5.207139-6 9.149102-1 5.219893-6 1.028682+0 5.232646-6 1.193666+0 5.250482-6 1.513833+0 5.283360-6 2.154955+0 5.296416-6 2.330086+0 5.312358-6 2.362704+0 5.325112-6 2.276131+0 5.337866-6 2.115285+0 5.360186-6 1.748545+0 5.372940-6 1.586049+0 5.385942-6 1.497441+0 5.402311-6 1.503950+0 5.447204-6 1.757958+0 5.468722-6 1.804946+0 5.533340-6 1.703699+0 5.664422-6 1.674863+0 5.734160-6 1.644445+0 5.815327-6 1.717499+0 5.914650-6 1.651452+0 6.394532-6 1.619708+0 6.519830-6 1.749174+0 6.645128-6 1.604257+0 6.964720-6 1.586776+0 7.100857-6 1.630730+0 7.242993-6 1.579561+0 7.454710-6 1.660878+0 7.533124-6 1.661383+0 7.639673-6 1.597030+0 7.933422-6 1.580116+0 8.106210-6 1.620308+0 8.261250-6 1.601482+0 1.312928-5 1.639144+0 1.712923-5 1.657931+0 1.936300-5 1.751799+0 1.945832-5 3.884519+0 1.950598-5 5.645509+0 1.955364-5 8.314074+0 1.960130-5 1.196239+1 1.974428-5 2.556646+1 1.979194-5 2.866774+1 1.984556-5 2.970712+1 1.989322-5 2.843046+1 1.994305-5 2.507727+1 1.996743-5 2.287647+1 2.006572-5 3.172789+1 2.011487-5 4.286784+1 2.016709-5 6.465398+1 2.021662-5 9.484084+1 2.036368-5 2.085677+2 2.041771-5 2.352337+2 2.046465-5 2.426136+2 2.051256-5 2.323686+2 2.056603-5 2.022402+2 2.064944-5 1.356628+2 2.070464-5 9.188111+1 2.075378-5 5.997504+1 2.080293-5 3.649407+1 2.085208-5 2.091567+1 2.092835-5 6.210592+0 2.095037-5 1.870218+0 2.207046-5 1.982208+0 2.217911-5 2.319835+0 2.223343-5 2.595269+0 2.228776-5 3.010046+0 2.234208-5 3.574938+0 2.250505-5 5.676850+0 2.255938-5 6.157865+0 2.261691-5 6.333708+0 2.274660-5 5.778591+0 2.280163-5 5.408408+0 2.285762-5 5.219017+0 2.291360-5 5.387907+0 2.295159-5 5.766756+0 2.299579-5 6.446475+0 2.313754-5 9.446251+0 2.320753-5 1.051408+1 2.324951-5 1.088650+1 2.331450-5 1.077815+1 2.342191-5 9.447563+0 2.350665-5 8.201590+0 2.358543-5 7.486977+0 2.365665-5 7.351544+0 2.391621-5 7.978785+0 2.412103-5 7.878806+0 2.451677-5 7.623214+0 2.871062-5 6.791987+0 2.885196-5 1.662057+1 2.892704-5 2.551841+1 2.899771-5 3.813048+1 2.907280-5 5.651220+1 2.927596-5 1.168317+2 2.935807-5 1.320307+2 2.942724-5 1.358719+2 2.949445-5 1.304771+2 2.956940-5 1.147117+2 2.977064-5 5.502170+1 2.984131-5 3.788365+1 2.991197-5 2.526881+1 2.998264-5 1.689667+1 3.012398-5 6.656356+0 3.141818-5 6.579268+0 3.172751-5 6.842103+0 3.207010-5 7.707723+0 3.233501-5 8.435292+0 3.274361-5 1.037019+1 3.289495-5 1.053737+1 3.320394-5 9.811278+0 3.346707-5 9.733495+0 3.421590-5 9.949078+0 3.496658-5 9.685978+0 4.349249-5 9.092138+0 4.852873-5 8.952947+0 4.972980-5 9.538861+0 5.067024-5 9.021863+0 5.339764-5 8.966365+0 6.622645-5 7.865017+0 9.278316-5 4.796719+0 9.323991-5 6.110579+0 9.346828-5 7.213452+0 9.372516-5 9.186939+0 9.375367-5 9.475342+0 9.421520-5 4.195798+1 9.444596-5 6.734934+1 9.467672-5 1.038677+2 9.494600-5 1.613932+2 9.561420-5 3.242752+2 9.585500-5 3.597795+2 9.609536-5 3.679638+2 9.631652-5 3.501041+2 9.655689-5 3.053921+2 9.721511-5 1.377684+2 9.744588-5 9.016716+1 9.767664-5 5.544251+1 9.790740-5 3.239443+1 9.833183-5 6.500359+0 9.836893-5 4.193819+0 9.895746-5 4.175165+0 9.951890-5 4.297442+0 1.000537-4 4.655451+0 1.010257-4 5.580586+0 1.010430-4 5.587973+0 1.015480-4 2.522446+1 1.017973-4 4.121834+1 1.020691-4 6.837534+1 1.023400-4 1.054161+2 1.030631-4 2.217263+2 1.033535-4 2.490849+2 1.035929-4 2.543342+2 1.038388-4 2.410118+2 1.041068-4 2.085264+2 1.047988-4 9.619044+1 1.050387-4 6.486785+1 1.052810-4 4.151856+1 1.055211-4 2.603217+1 1.060170-4 6.514499+0 1.072502-4 7.264351+0 1.081077-4 8.211628+0 1.089751-4 9.347426+0 1.095638-4 9.676359+0 1.110169-4 9.650831+0 1.162252-4 1.156055+1 1.193500-4 1.211307+1 1.226653-4 1.201458+1 1.284595-4 1.081307+1 1.398757-4 8.171552+0 1.492610-4 6.437531+0 1.584893-4 5.098059+0 1.673069-4 4.123108+0 1.768667-4 3.342963+0 1.865000-4 2.770149+0 1.931250-4 2.486658+0 1.976621-4 2.379848+0 1.991274-4 2.488386+0 2.021186-4 3.092546+0 2.030770-4 3.177618+0 2.235501-4 2.742887+0 2.371374-4 2.580491+0 2.488255-4 2.527452+0 2.507379-4 2.648971+0 2.519457-4 2.825544+0 2.544892-4 3.324840+0 2.557212-4 3.374522+0 2.594531-4 3.071750+0 2.658321-4 3.008249+0 2.951209-4 2.971285+0 3.129794-4 3.028851+0 3.200560-4 3.317116+0 3.331547-4 3.309007+0 3.769983-4 3.497109+0 3.798100-4 3.654441+0 3.817718-4 3.916376+0 3.854253-4 4.546547+0 3.873605-4 4.607788+0 3.913592-4 4.406234+0 3.928422-4 4.491458+0 3.972099-4 4.957077+0 3.991938-4 4.898236+0 4.037297-4 4.544960+0 4.065912-4 4.514440+0 4.168694-4 4.840346+0 4.240000-4 5.327091+0 4.307000-4 6.116660+0 4.377561-4 7.354852+0 4.450000-4 9.039846+0 4.570994-4 1.258367+1 4.900000-4 2.344299+1 5.100337-4 2.869248+1 5.331685-4 3.300105+1 5.638682-4 3.635371+1 6.050000-4 3.848212+1 6.851550-4 3.879609+1 7.095835-4 3.844566+1 7.148972-4 4.012596+1 7.184948-4 4.300330+1 7.233950-4 4.846197+1 7.271956-4 5.049861+1 7.307820-4 4.888934+1 7.375637-4 4.299683+1 7.444162-4 4.101468+1 7.551896-4 4.180028+1 7.605717-4 4.382908+1 7.677995-4 4.773603+1 7.715043-4 4.784374+1 7.831010-4 4.326230+1 7.967274-4 4.263155+1 1.008390-3 3.733777+1 1.031194-3 3.891469+1 1.250445-3 3.316873+1 1.419156-3 3.002020+1 1.819701-3 2.331413+1 2.144125-3 1.935207+1 2.544632-3 1.577765+1 2.996143-3 1.288263+1 3.461373-3 1.072014+1 3.478565-3 1.165481+1 3.486932-3 1.246334+1 3.495452-3 1.376512+1 3.503971-3 1.562597+1 3.523187-3 2.151442+1 3.538050-3 2.629892+1 3.546570-3 2.827156+1 3.555400-3 2.940400+1 3.563609-3 2.964557+1 3.586354-3 2.769380+1 3.613748-3 2.511560+1 3.632179-3 2.421416+1 3.665758-3 2.527879+1 3.684088-3 2.737099+1 3.719763-3 3.415689+1 3.737677-3 3.598440+1 3.756410-3 3.557558+1 3.800702-3 3.263837+1 3.854775-3 3.159528+1 4.216041-3 2.768667+1 4.262785-3 2.865358+1 4.313022-3 3.034474+1 4.392544-3 3.010485+1 5.055985-3 2.437631+1 5.156479-3 2.427628+1 5.251575-3 2.443048+1 5.485061-3 2.319493+1 5.647897-3 2.293918+1 6.475153-3 1.884588+1 7.503328-3 1.516528+1 8.619235-3 1.231072+1 9.694889-3 1.029509+1 1.105987-2 8.406572+0 1.270201-2 6.774280+0 1.425813-2 5.651819+0 1.628241-2 4.578212+0 1.677862-2 4.381372+0 1.690068-2 4.501910+0 1.697652-2 4.826547+0 1.704354-2 5.397049+0 1.714204-2 6.713411+0 1.725516-2 8.342108+0 1.735681-2 9.273728+0 1.748880-2 9.637782+0 2.050377-2 7.445842+0 2.073740-2 7.447101+0 2.089931-2 7.895169+0 2.115497-2 9.286666+0 2.133780-2 9.738026+0 2.164840-2 1.001079+1 2.195680-2 1.064939+1 2.245989-2 1.050560+1 2.614509-2 8.324501+0 2.962616-2 6.845719+0 3.359285-2 5.605646+0 3.815346-2 4.561052+0 4.398906-2 3.615643+0 4.976640-2 2.949499+0 5.632003-2 2.400111+0 6.371262-2 1.952285+0 7.214143-2 1.582118+0 8.166411-2 1.282927+0 9.214886-2 1.044500+0 1.039626-1 8.507056-1 1.134264-1 7.391940-1 1.140538-1 7.644613-1 1.144721-1 8.257324-1 1.147645-1 9.077697-1 1.151130-1 1.062721+0 1.154721-1 1.293646+0 1.161763-1 1.893277+0 1.167995-1 2.402827+0 1.173343-1 2.692231+0 1.180496-1 2.856252+0 1.196386-1 2.857809+0 1.380384-1 2.296792+0 1.573499-1 1.871580+0 1.788375-1 1.531786+0 2.008790-1 1.276487+0 2.270980-1 1.054387+0 2.568547-1 8.709415-1 2.895208-1 7.258266-1 3.265632-1 6.063167-1 3.682633-1 5.088107-1 4.168694-1 4.268545-1 4.775980-1 3.549798-1 5.401322-1 3.023416-1 6.130558-1 2.581515-1 6.964593-1 2.219887-1 8.047831-1 1.886003-1 9.369818-1 1.604361-1 1.173413+0 1.255602-1 1.347258+0 1.072160-1 1.561145+0 9.063175-2 1.859734+0 7.416688-2 2.135261+0 6.333115-2 2.451607+0 5.407851-2 2.814822+0 4.617768-2 3.231848+0 3.943116-2 3.710658+0 3.367029-2 4.260405+0 2.875109-2 4.899541+0 2.450720-2 5.616308+0 2.096375-2 6.448384+0 1.790096-2 7.403736+0 1.528565-2 8.500626+0 1.305242-2 9.760024+0 1.114547-2 1.000000+1 2.327378-2 1 92000 7 0 2.380510+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-9.159160+1 1.393127-6-8.968875+1 1.420378-6-8.891765+1 1.433740-6-9.156463+1 1.452564-6-9.059472+1 1.491402-6-9.163408+1 1.574217-6-9.031444+1 1.590603-6-9.150157+1 2.272611-6-8.818800+1 2.484892-6-8.348928+1 2.552124-6-7.790944+1 2.577404-6-7.197683+1 2.609189-6-5.583329+1 2.616586-6-5.460824+1 2.622940-6-5.645755+1 2.629741-6-6.227257+1 2.638776-6-7.602365+1 2.645566-6-8.917489+1 2.652158-6-8.267533+1 2.660817-6-6.964309+1 2.669011-6-6.352648+1 2.676173-6-6.207971+1 2.686830-6-6.578688+1 2.717256-6-8.114062+1 2.752030-6-8.773877+1 2.806406-6-9.182573+1 2.936454-6-8.322610+1 2.990684-6-7.584117+1 3.018846-6-6.811233+1 3.033197-6-6.070429+1 3.044894-6-5.039494+1 3.052007-6-4.449175+1 3.060891-6-3.591636+1 3.069893-6-2.910741+1 3.075733-6-2.694879+1 3.078595-6-2.704358+1 3.083210-6-2.884977+1 3.086072-6-3.118877+1 3.089751-6-3.588650+1 3.094862-6-4.491865+1 3.102075-6-6.322990+1 3.111376-6-9.182076+1 3.121191-6-5.922578+1 3.128476-6-4.021480+1 3.132596-6-3.238316+1 3.135543-6-2.777258+1 3.138405-6-2.447784+1 3.141165-6-2.232189+1 3.145356-6-2.076170+1 3.148510-6-2.062089+1 3.155168-6-2.329015+1 3.163361-6-2.984170+1 3.175680-6-4.142195+1 3.186016-6-4.986772+1 3.190002-6-5.396116+1 3.202745-6-6.103860+1 3.225264-6-6.804826+1 3.261297-6-7.339952+1 3.368436-6-8.054982+1 3.575729-6-8.603427+1 3.705377-6-9.004982+1 3.765127-6-8.337809+1 3.893278-6-8.698447+1 4.083110-6-9.023573+1 4.152617-6-8.590786+1 4.399573-6-9.050890+1 4.467418-6-9.219110+1 4.509686-6-9.183496+1 4.562241-6-8.266368+1 4.600781-6-8.261867+1 4.692858-6-8.671144+1 5.024680-6-8.982414+1 5.115899-6-8.667497+1 5.293844-6-8.889027+1 1.351725-5-9.123798+1 1.688813-5-8.569015+1 1.819148-5-7.910117+1 1.882778-5-7.163026+1 1.915282-5-6.425872+1 1.932975-5-5.727891+1 1.950598-5-4.536403+1 1.961397-5-3.769458+1 1.967279-5-3.522628+1 1.974428-5-3.482658+1 1.985598-5-3.696790+1 1.990364-5-3.587528+1 1.994305-5-3.211912+1 1.996286-5-2.821837+1 1.997645-5-2.398684+1 2.002667-5-1.327339+1 2.004619-5-8.811711+0 2.005596-5-6.253446+0 2.006084-5-4.809663+0 2.007187-5-8.824989-1 2.010412-5 8.521491+0 2.010949-5 1.028079+1 2.011794-5 1.377016+1 2.017285-5 3.008002+1 2.018293-5 3.222398+1 2.022311-5 3.853998+1 2.024299-5 3.852451+1 2.026854-5 3.553281+1 2.029011-5 3.059317+1 2.030664-5 2.515732+1 2.031338-5 2.251986+1 2.032519-5 1.727606+1 2.033404-5 1.276680+1 2.034068-5 9.014330+0 2.034566-5 5.958344+0 2.035313-5 8.884234-1 2.035687-5-1.952696+0 2.035874-5-3.502034+0 2.036368-5-8.108236+0 2.039247-5-3.166153+1 2.040489-5-4.327937+1 2.041771-5-5.769842+1 2.045299-5-9.294628+1 2.046991-5-7.275115+1 2.050622-5-3.599854+1 2.051256-5-2.838920+1 2.052302-5-1.826860+1 2.053156-5-1.078782+1 2.054438-5-1.829771-1 2.055079-5 5.066314+0 2.055399-5 7.769955+0 2.056027-5 1.355820+1 2.056603-5 1.805032+1 2.057988-5 2.732998+1 2.060634-5 4.196536+1 2.062324-5 4.940514+1 2.064944-5 5.691017+1 2.067708-5 6.043684+1 2.069773-5 6.081705+1 2.074150-5 5.518651+1 2.079756-5 4.058382+1 2.085896-5 2.105576+1 2.087072-5 1.772346+1 2.092835-5 3.261832+0 2.093936-5 8.891011-2 2.094487-5-1.713619+0 2.094762-5-2.729411+0 2.095405-5-5.582817+0 2.096095-5-7.868935+0 2.097302-5-1.117182+1 2.098207-5-1.332779+1 2.100923-5-1.881296+1 2.104140-5-2.408506+1 2.108642-5-3.006511+1 2.116361-5-3.793419+1 2.126653-5-4.560904+1 2.142090-5-5.372549+1 2.167819-5-6.262396+1 2.234208-5-7.682808+1 2.263083-5-7.805810+1 2.289526-5-8.057969+1 2.311440-5-8.296313+1 2.344309-5-7.887574+1 2.401748-5-8.180141+1 2.693712-5-9.019345+1 2.742892-5-9.218732+1 2.810496-5-8.400264+1 2.845006-5-7.527571+1 2.860351-5-6.819676+1 2.869938-5-6.060294+1 2.876231-5-5.334381+1 2.885196-5-4.455285+1 2.893533-5-3.485021+1 2.900599-5-2.788881+1 2.907280-5-2.436005+1 2.909985-5-2.433801+1 2.914346-5-2.615098+1 2.917921-5-2.974945+1 2.920530-5-3.385604+1 2.925361-5-4.394631+1 2.928038-5-5.182153+1 2.933615-5-6.964722+1 2.939355-5-9.199667+1 2.945061-5-6.833731+1 2.949018-5-5.270533+1 2.950950-5-4.541283+1 2.956940-5-2.600099+1 2.959437-5-1.973930+1 2.962240-5-1.419001+1 2.963578-5-1.196325+1 2.965585-5-9.070422+0 2.967592-5-6.667532+0 2.968776-5-5.477635+0 2.970848-5-3.837295+0 2.972402-5-2.971676+0 2.973567-5-2.539445+0 2.975316-5-2.288104+0 2.976190-5-2.388059+0 2.980597-5-4.352902+0 2.982364-5-5.345291+0 2.983247-5-6.016021+0 2.985014-5-7.989322+0 2.989651-5-1.220648+1 3.000693-5-2.493175+1 3.010631-5-3.431328+1 3.014592-5-3.948147+1 3.022665-5-4.572061+1 3.036909-5-5.250510+1 3.061394-5-5.946462+1 3.108746-5-6.671199+1 3.207010-5-7.454957+1 3.274361-5-7.611402+1 3.346707-5-7.598800+1 4.349249-5-7.856954+1 6.622645-5-8.117317+1 7.168941-5-8.331783+1 8.013362-5-7.552697+1 8.471245-5-6.742936+1 8.735810-5-5.926823+1 8.891490-5-5.182244+1 8.991140-5-4.515500+1 9.085395-5-3.647753+1 9.149603-5-2.842278+1 9.191528-5-2.169797+1 9.221361-5-1.588220+1 9.246279-5-1.012347+1 9.262298-5-5.841365+0 9.270307-5-3.474908+0 9.278316-5-8.702267-1 9.289735-5 3.063027+0 9.301318-5 7.263745+0 9.312572-5 1.171580+1 9.323991-5 1.679277+1 9.341119-5 2.556905+1 9.352538-5 3.255245+1 9.365384-5 4.189384+1 9.373942-5 5.023406+1 9.379604-5 5.733742+1 9.421520-5 9.240241+1 9.447481-5 1.163938+2 9.475605-5 1.357776+2 9.498210-5 1.401502+2 9.516085-5 1.315762+2 9.531532-5 1.160115+2 9.543576-5 9.810371+1 9.552365-5 8.056277+1 9.559026-5 6.395221+1 9.561420-5 5.666600+1 9.574941-5 2.018615+1 9.578490-5 9.718788+0 9.580772-5 2.434195+0 9.581913-5-1.505809+0 9.582483-5-3.618949+0 9.583414-5-7.578949+0 9.584124-5-1.027747+1 9.585500-5-1.510040+1 9.588078-5-2.357900+1 9.602322-5-6.905262+1 9.606220-5-8.398764+1 9.611342-5-6.522133+1 9.626459-5-1.753380+1 9.628519-5-1.039076+1 9.628863-5-9.075779+0 9.629567-5-6.066173+0 9.630277-5-3.436828+0 9.631652-5 1.210293+0 9.634231-5 9.189204+0 9.636487-5 1.571333+1 9.655689-5 6.672258+1 9.665200-5 8.581401+1 9.677484-5 1.040473+2 9.693472-5 1.197747+2 9.709654-5 1.272068+2 9.721511-5 1.255845+2 9.741703-5 1.148856+2 9.767664-5 9.032242+1 9.796876-5 5.986184+1 9.829474-5 3.131857+1 9.835038-5 2.531006+1 9.838301-5 2.055816+1 9.840940-5 1.749556+1 9.845559-5 1.296285+1 9.849024-5 9.940304+0 9.854220-5 5.801506+0 9.859417-5 2.014313+0 9.864298-5-1.295602+0 9.871620-5-5.903863+0 9.878942-5-1.017281+1 9.895746-5-1.897397+1 9.917350-5-2.885635+1 9.951890-5-4.270088+1 1.005955-4-8.284964+1 1.006526-4-8.530271+1 1.009479-4-7.049032+1 1.011432-4-5.592912+1 1.015076-4-3.426197+1 1.015970-4-2.759254+1 1.017718-4-1.624552+1 1.018133-4-1.272185+1 1.018432-4-1.063565+1 1.020276-4-2.844552-3 1.020526-4 1.433685+0 1.020691-4 2.642813+0 1.021002-4 4.265214+0 1.021546-4 6.375903+0 1.021953-4 7.589306+0 1.023400-4 1.117971+1 1.023833-4 1.151057+1 1.024239-4 1.130761+1 1.024619-4 1.075991+1 1.024976-4 9.962745+0 1.025310-4 8.979088+0 1.025624-4 7.855219+0 1.026212-4 5.229758+0 1.026726-4 2.376548+0 1.027176-4-5.556320-1 1.027570-4-3.467567+0 1.027914-4-6.293481+0 1.028216-4-8.990857+0 1.028710-4-1.390761+1 1.029114-4-1.842870+1 1.029644-4-2.520144+1 1.030134-4-3.269348+1 1.030631-4-4.221495+1 1.032449-4-7.320115+1 1.033132-4-8.724696+1 1.033794-4-7.219331+1 1.035272-4-4.213057+1 1.035618-4-3.395466+1 1.035782-4-2.935796+1 1.036205-4-1.980154+1 1.036870-4-6.344065+0 1.037505-4 6.104947+0 1.037823-4 1.253307+1 1.038061-4 1.774465+1 1.038225-4 2.195255+1 1.038695-4 3.150112+1 1.039434-4 4.421593+1 1.041068-4 7.005757+1 1.042286-4 8.479430+1 1.044168-4 9.986091+1 1.046108-4 1.080190+2 1.047636-4 1.088356+2 1.050087-4 1.004860+2 1.052810-4 8.425576+1 1.055727-4 6.494660+1 1.059754-4 4.249001+1 1.060585-4 3.576772+1 1.061392-4 3.103708+1 1.062915-4 2.410077+1 1.063929-4 2.027586+1 1.065943-4 1.384556+1 1.067750-4 9.024477+0 1.069557-4 4.863221+0 1.071191-4 1.529034+0 1.072502-4-9.064404-1 1.073814-4-3.156348+0 1.076438-4-7.179868+0 1.079127-4-1.074522+1 1.083180-4-1.522977+1 1.087077-4-1.869228+1 1.092412-4-2.236888+1 1.106625-4-2.972431+1 1.122811-4-3.592298+1 1.145390-4-4.117974+1 1.172188-4-4.474111+1 1.226653-4-4.790724+1 1.492610-4-5.367999+1 2.030770-4-6.141449+1 2.563743-4-6.448088+1 3.658740-4-7.142455+1 4.216965-4-7.871600+1 4.614976-4-8.633490+1 4.941850-4-8.551611+1 6.177604-4-6.623474+1 6.851550-4-5.950630+1 7.233950-4-5.820324+1 7.392343-4-5.829725+1 7.660783-4-5.504158+1 7.878880-4-5.310302+1 8.280000-4-4.856822+1 9.166463-4-4.248585+1 9.997260-4-3.917119+1 1.031194-3-3.921527+1 1.064829-3-3.650480+1 1.161449-3-3.251660+1 1.377248-3-2.762712+1 1.433898-3-2.688827+1 1.569282-3-2.467929+1 1.819701-3-2.257205+1 2.144125-3-2.153720+1 2.544632-3-2.181920+1 2.900000-3-2.338204+1 3.162278-3-2.580556+1 3.325658-3-2.859786+1 3.428605-3-3.179892+1 3.478565-3-3.470348+1 3.546570-3-4.176795+1 3.572045-3-4.147368+1 3.632179-3-3.635677+1 3.674650-3-3.564328+1 3.728832-3-3.686925+1 3.756410-3-3.550470+1 3.818867-3-2.988449+1 3.879270-3-2.679412+1 3.973350-3-2.393970+1 4.090697-3-2.185425+1 4.194304-3-2.116013+1 4.288033-3-2.193606+1 4.327896-3-2.078171+1 4.392544-3-1.845816+1 4.494582-3-1.639596+1 4.663426-3-1.425916+1 4.878626-3-1.255756+1 5.055985-3-1.185548+1 5.175231-3-1.199559+1 5.316857-3-1.068255+1 5.443416-3-1.015123+1 5.535332-3-9.920846+0 5.698332-3-8.629809+0 5.923358-3-7.577796+0 6.300500-3-6.422582+0 6.760830-3-5.513743+0 7.300000-3-4.843098+0 8.036686-3-4.352827+0 8.989799-3-4.128510+0 1.012171-2-4.163516+0 1.161240-2-4.507934+0 1.328965-2-5.171602+0 1.467250-2-5.993396+0 1.566751-2-6.920879+0 1.628241-2-7.868450+0 1.664108-2-8.817948+0 1.683643-2-9.758015+0 1.710908-2-1.200501+1 1.719246-2-1.218986+1 1.728293-2-1.176044+1 1.753275-2-9.564143+0 1.774397-2-8.520192+0 1.808469-2-7.617266+0 1.857487-2-6.912567+0 1.926767-2-6.467378+0 1.991408-2-6.450394+0 2.039686-2-6.780760+0 2.067134-2-7.321268+0 2.095564-2-8.306505+0 2.109859-2-8.371917+0 2.147505-2-7.352887+0 2.179439-2-6.979130+0 2.223912-2-5.647900+0 2.261808-2-4.930529+0 2.320706-2-4.202892+0 2.408261-2-3.466503+0 2.498964-2-2.919910+0 2.614509-2-2.427557+0 2.750860-2-2.018769+0 2.888153-2-1.729194+0 3.036618-2-1.501725+0 3.209631-2-1.319290+0 3.450995-2-1.160478+0 3.715353-2-1.077456+0 4.070491-2-1.040491+0 4.585011-2-1.070957+0 5.632003-2-1.249984+0 8.488814-2-1.870395+0 9.592539-2-2.177093+0 1.039626-1-2.506718+0 1.088501-1-2.840534+0 1.118274-1-3.198090+0 1.134264-1-3.551801+0 1.145839-1-4.039435+0 1.157327-1-4.570335+0 1.162991-1-4.590166+0 1.171250-1-4.255313+0 1.183635-1-3.591502+0 1.196386-1-3.177711+0 1.217495-1-2.786666+0 1.245962-1-2.457401+0 1.278579-1-2.207036+0 1.330259-1-1.932938+0 1.404429-1-1.680625+0 1.496777-1-1.489977+0 1.612242-1-1.342924+0 1.788375-1-1.217947+0 2.008790-1-1.148292+0 2.473516-1-1.114950+0 5.654201-1-1.238445+0 1.070165+0-1.288301+0 3.231848+0-1.310882+0 9.760024+0-1.316854+0 1.000000+1-1.312865+0 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.047996-1 1.036459-6 1.271184-1 1.053463-6 1.392462-1 1.078969-6 1.599272-1 1.112630-6 1.925068-1 1.134379-6 2.180585-1 1.156168-6 2.482666-1 1.175704-6 2.803623-1 1.189658-6 3.070375-1 1.200000-6 3.292473-1 1.209475-6 3.517301-1 1.218465-6 3.753189-1 1.226893-6 3.998168-1 1.234794-6 4.252695-1 1.242201-6 4.517298-1 1.249145-6 4.792697-1 1.255656-6 5.079547-1 1.261759-6 5.378061-1 1.273203-6 6.032523-1 1.283216-6 6.739156-1 1.291978-6 7.503523-1 1.299645-6 8.331044-1 1.306353-6 9.227318-1 1.312222-6 1.019940+0 1.317358-6 1.125738+0 1.321852-6 1.241516+0 1.325785-6 1.368827+0 1.329225-6 1.508831+0 1.332236-6 1.661669+0 1.334870-6 1.826124+0 1.337175-6 1.999704+0 1.339192-6 2.179048+0 1.340957-6 2.360441+0 1.342501-6 2.540284+0 1.343852-6 2.715417+0 1.346216-6 3.065663+0 1.349320-6 3.618218+0 1.355470-6 5.049053+0 1.358306-6 5.851861+0 1.359972-6 6.357005+0 1.363303-6 7.416395+0 1.363719-6 7.551257+0 1.366634-6 8.490423+0 1.367779-6 8.849714+0 1.369965-6 9.503298+0 1.371110-6 9.821974+0 1.372203-6 1.010669+1 1.373296-6 1.036931+1 1.374753-6 1.068005+1 1.376159-6 1.093152+1 1.377460-6 1.111765+1 1.378553-6 1.123665+1 1.379958-6 1.133665+1 1.381832-6 1.137317+1 1.383393-6 1.131701+1 1.383973-6 1.127605+1 1.385627-6 1.110018+1 1.387159-6 1.086180+1 1.388448-6 1.060804+1 1.390041-6 1.023235+1 1.391191-6 9.922642+0 1.393588-6 9.188605+0 1.395093-6 8.678363+0 1.397029-6 7.982494+0 1.398509-6 7.431296+0 1.399944-6 6.889580+0 1.401401-6 6.339042+0 1.402924-6 5.771033+0 1.404941-6 5.041353+0 1.406398-6 4.537335+0 1.406814-6 4.397628+0 1.408766-6 3.771553+0 1.409937-6 3.420623+0 1.413268-6 2.533049+0 1.414550-6 2.236557+0 1.415574-6 2.017490+0 1.416599-6 1.814139+0 1.418056-6 1.551262+0 1.419667-6 1.295225+0 1.421161-6 1.088037+0 1.422654-6 9.079725-1 1.424128-6 7.547186-1 1.425578-6 6.253247-1 1.427006-6 5.166974-1 1.428412-6 4.260143-1 1.429796-6 3.507363-1 1.431831-6 2.618441-1 1.435274-6 1.589613-1 1.436627-6 1.313921-1 1.437256-6 1.205794-1 1.437882-6 1.109742-1 1.438502-6 1.024920-1 1.439118-6 9.503447-2 1.439729-6 8.851145-2 1.440335-6 8.284043-2 1.440937-6 7.794594-2 1.442130-6 7.019105-2 1.443305-6 6.480665-2 1.444462-6 6.138719-2 1.445600-6 5.959666-2 1.446721-6 5.915723-2 1.447824-6 5.983957-2 1.449996-6 6.389014-2 1.452100-6 7.059129-2 1.454138-6 7.914694-2 1.459938-6 1.117036-1 1.463525-6 1.365091-1 1.470250-6 1.910792-1 1.482018-6 3.157567-1 1.486431-6 3.770716-1 1.490293-6 4.413457-1 1.493671-6 5.088131-1 1.496628-6 5.791969-1 1.500000-6 6.761082-1 1.501478-6 7.253197-1 1.503459-6 7.987110-1 1.505192-6 8.706903-1 1.508225-6 1.016249+0 1.517323-6 1.628633+0 1.519832-6 1.846427+0 1.521058-6 1.959855+0 1.522925-6 2.140606+0 1.524792-6 2.329412+0 1.528527-6 2.722155+0 1.528994-6 2.771821+0 1.532262-6 3.115319+0 1.533546-6 3.245464+0 1.535997-6 3.479870+0 1.537280-6 3.592760+0 1.538506-6 3.692572+0 1.539731-6 3.783481+0 1.541365-6 3.889000+0 1.542941-6 3.971773+0 1.544400-6 4.030184+0 1.545625-6 4.064784+0 1.547201-6 4.088906+0 1.549301-6 4.084181+0 1.551052-6 4.047563+0 1.551504-6 4.033298+0 1.553780-6 3.932313+0 1.555275-6 3.840494+0 1.556607-6 3.742756+0 1.558379-6 3.591603+0 1.559762-6 3.458645+0 1.562256-6 3.191255+0 1.563744-6 3.018429+0 1.564676-6 2.906395+0 1.566108-6 2.730189+0 1.567598-6 2.543407+0 1.569232-6 2.337515+0 1.570542-6 2.173241+0 1.571768-6 2.021684+0 1.573343-6 1.831366+0 1.575211-6 1.614808+0 1.576903-6 1.429054+0 1.578187-6 1.295786+0 1.579500-6 1.166908+0 1.581046-6 1.025266+0 1.582250-6 9.228681-1 1.583973-6 7.883845-1 1.585219-6 7.000608-1 1.585985-6 6.493968-1 1.587133-6 5.785101-1 1.588282-6 5.135986-1 1.589916-6 4.311506-1 1.591518-6 3.609297-1 1.593234-6 2.965443-1 1.595301-6 2.323842-1 1.600198-6 1.290295-1 1.601195-6 1.148341-1 1.602515-6 9.892576-2 1.603171-6 9.213960-2 1.603825-6 8.606124-2 1.604476-6 8.064106-2 1.605125-6 7.583225-2 1.606417-6 6.786123-2 1.607699-6 6.184673-2 1.608972-6 5.750393-2 1.610234-6 5.458396-2 1.611486-6 5.287055-2 1.612729-6 5.217673-2 1.613961-6 5.234158-2 1.616408-6 5.472970-2 1.618816-6 5.915743-2 1.621187-6 6.498652-2 1.625817-6 7.916230-2 1.628078-6 8.696029-2 1.632530-6 1.032908-1 1.636842-6 1.198359-1 1.641020-6 1.362021-1 1.645067-6 1.521989-1 1.648988-6 1.677380-1 1.656584-6 1.977979-1 1.663706-6 2.258261-1 1.670383-6 2.519522-1 1.682901-6 3.006471-1 1.693855-6 3.431320-1 1.713024-6 4.178496-1 1.727400-6 4.747786-1 1.748966-6 5.625955-1 1.770531-6 6.543269-1 1.787962-6 7.323087-1 1.809752-6 8.358902-1 1.840258-6 9.949383-1 1.857689-6 1.095382+0 1.915579-6 1.490159+0 1.934186-6 1.647691+0 1.948142-6 1.783734+0 1.958609-6 1.902111+0 1.966459-6 2.004781+0 1.978233-6 2.188936+0 1.994907-6 2.503761+0 1.999805-6 2.594799+0 2.004703-6 2.675235+0 2.009601-6 2.738028+0 2.014499-6 2.776488+0 2.016948-6 2.784909+0 2.019397-6 2.785540+0 2.021846-6 2.778205+0 2.024296-6 2.762964+0 2.026745-6 2.740132+0 2.029194-6 2.710282+0 2.034092-6 2.633020+0 2.038990-6 2.540178+0 2.048786-6 2.353151+0 2.050759-6 2.321504+0 2.053718-6 2.280755+0 2.056677-6 2.249438+0 2.060079-6 2.226483+0 2.063481-6 2.218260+0 2.065930-6 2.221499+0 2.068379-6 2.232162+0 2.073277-6 2.274013+0 2.078175-6 2.339180+0 2.083073-6 2.421985+0 2.102238-6 2.818301+0 2.112362-6 3.030058+0 2.122487-6 3.233699+0 2.137674-6 3.532373+0 2.157923-6 3.940145+0 2.238056-6 5.923246+0 2.261500-6 6.678589+0 2.283479-6 7.488865+0 2.304084-6 8.356786+0 2.323401-6 9.284628+0 2.341511-6 1.027435+1 2.358489-6 1.132763+1 2.374406-6 1.244582+1 2.389328-6 1.363002+1 2.403318-6 1.488121+1 2.416433-6 1.620026+1 2.428728-6 1.758784+1 2.440255-6 1.904439+1 2.451062-6 2.057023+1 2.461193-6 2.216556+1 2.470691-6 2.383034+1 2.479595-6 2.556380+1 2.487943-6 2.736421+1 2.495769-6 2.922898+1 2.510443-6 3.327891+1 2.523283-6 3.756607+1 2.534518-6 4.206426+1 2.544348-6 4.674327+1 2.552949-6 5.156779+1 2.560476-6 5.649883+1 2.567061-6 6.149603+1 2.572824-6 6.651949+1 2.577866-6 7.153063+1 2.586689-6 8.211076+1 2.593307-6 9.210707+1 2.598270-6 1.012110+2 2.601993-6 1.092076+2 2.607577-6 1.236073+2 2.613160-6 1.417350+2 2.616376-6 1.543180+2 2.619592-6 1.687914+2 2.622808-6 1.854490+2 2.626024-6 2.046091+2 2.629240-6 2.266100+2 2.632456-6 2.518025+2 2.635672-6 2.805404+2 2.643712-6 3.700984+2 2.652426-6 4.995995+2 2.658184-6 6.047774+2 2.661200-6 6.658588+2 2.664216-6 7.307022+2 2.670741-6 8.816450+2 2.671584-6 9.019462+2 2.677480-6 1.046716+3 2.679691-6 1.101266+3 2.684514-6 1.217875+3 2.686629-6 1.267034+3 2.689652-6 1.334040+3 2.691596-6 1.374583+3 2.694768-6 1.435535+3 2.697724-6 1.485487+3 2.700988-6 1.531704+3 2.703777-6 1.562936+3 2.707600-6 1.592225+3 2.710494-6 1.603386+3 2.714475-6 1.602722+3 2.716868-6 1.593358+3 2.723248-6 1.536606+3 2.726330-6 1.493780+3 2.729793-6 1.435112+3 2.733057-6 1.370893+3 2.736467-6 1.296149+3 2.739772-6 1.217869+3 2.741946-6 1.164044+3 2.745053-6 1.084963+3 2.748299-6 1.000917+3 2.752310-6 8.970590+2 2.755573-6 8.141402+2 2.759244-6 7.239847+2 2.762099-6 6.569473+2 2.768624-6 5.164290+2 2.770969-6 4.707832+2 2.773646-6 4.220214+2 2.777660-6 3.556407+2 2.781675-6 2.973006+2 2.785480-6 2.491521+2 2.788751-6 2.130082+2 2.792424-6 1.777755+2 2.796807-6 1.424509+2 2.801435-6 1.121107+2 2.807430-6 8.170148+1 2.820950-6 3.962208+1 2.834471-6 1.932639+1 2.847992-6 9.475059+0 2.861513-6 4.610517+0 2.864893-6 3.862481+0 2.868273-6 3.256046+0 2.869963-6 3.001050+0 2.872498-6 2.674213+0 2.875033-6 2.409921+0 2.878414-6 2.147666+0 2.880949-6 2.013922+0 2.882267-6 1.964515+0 2.883679-6 1.926228+0 2.884616-6 1.908988+0 2.886016-6 1.895021+0 2.886945-6 1.893370+0 2.888796-6 1.907668+0 2.890632-6 1.944270+0 2.892454-6 2.001834+0 2.896070-6 2.175719+0 2.899629-6 2.419833+0 2.955684-6 1.386573+1 2.966195-6 1.794434+1 2.976048-6 2.265778+1 2.985286-6 2.802279+1 2.993946-6 3.404784+1 3.023502-6 6.516447+1 3.031001-6 7.698310+1 3.035654-6 8.552897+1 3.041166-6 9.714292+1 3.046334-6 1.098304+2 3.051179-6 1.236916+2 3.055721-6 1.388299+2 3.059979-6 1.553442+2 3.063971-6 1.733212+2 3.067713-6 1.928274+2 3.072000-6 2.189908+2 3.077595-6 2.607553+2 3.083377-6 3.154541+2 3.088436-6 3.755546+2 3.092863-6 4.397076+2 3.096736-6 5.063602+2 3.105686-6 7.064339+2 3.117005-6 1.076812+3 3.123489-6 1.361251+3 3.129174-6 1.659158+3 3.131539-6 1.796912+3 3.135384-6 2.038112+3 3.139228-6 2.300205+3 3.146917-6 2.881605+3 3.147878-6 2.958993+3 3.155152-6 3.569940+3 3.157969-6 3.814770+3 3.160658-6 4.050184+3 3.164034-6 4.345362+3 3.167789-6 4.668503+3 3.169985-6 4.852961+3 3.173589-6 5.144550+3 3.177475-6 5.438410+3 3.180926-6 5.676484+3 3.184114-6 5.873571+3 3.185843-6 5.970068+3 3.190348-6 6.183766+3 3.193866-6 6.309326+3 3.198725-6 6.418449+3 3.202311-6 6.449183+3 3.206547-6 6.430331+3 3.209948-6 6.372585+3 3.213298-6 6.279992+3 3.218301-6 6.080040+3 3.221999-6 5.889310+3 3.225583-6 5.674120+3 3.228771-6 5.461190+3 3.232351-6 5.202157+3 3.235341-6 4.972967+3 3.239185-6 4.665869+3 3.243029-6 4.350113+3 3.246874-6 4.031178+3 3.251199-6 3.674794+3 3.254563-6 3.403253+3 3.262252-6 2.815034+3 3.265015-6 2.617976+3 3.271322-6 2.202029+3 3.277630-6 1.836809+3 3.285537-6 1.452108+3 3.299372-6 9.591833+2 3.302285-6 8.807567+2 3.306654-6 7.770620+2 3.311023-6 6.883466+2 3.316432-6 5.964181+2 3.321841-6 5.211477+2 3.325840-6 4.744161+2 3.329840-6 4.340563+2 3.333840-6 3.991140+2 3.337839-6 3.687561+2 3.345838-6 3.190248+2 3.353837-6 2.803158+2 3.360223-6 2.551439+2 3.366609-6 2.337771+2 3.377158-6 2.046517+2 3.386428-6 1.837180+2 3.394622-6 1.679115+2 3.406756-6 1.480709+2 3.416585-6 1.344692+2 3.425951-6 1.231599+2 3.434869-6 1.136479+2 3.450348-6 9.953389+1 3.460174-6 9.190155+1 3.472027-6 8.387270+1 3.480531-6 7.883870+1 3.489035-6 7.437549+1 3.497540-6 7.045634+1 3.504373-6 6.768062+1 3.511206-6 6.521476+1 3.517129-6 6.330655+1 3.523052-6 6.158744+1 3.531556-6 5.939648+1 3.548564-6 5.566994+1 3.563446-6 5.268851+1 3.573013-6 5.074301+1 3.582580-6 4.872224+1 3.591085-6 4.685822+1 3.599589-6 4.494527+1 3.608093-6 4.300947+1 3.643671-6 3.538695+1 3.652574-6 3.376569+1 3.661832-6 3.224907+1 3.670736-6 3.095948+1 3.679639-6 2.982941+1 3.688543-6 2.884108+1 3.706350-6 2.717258+1 3.724310-6 2.567264+1 3.733455-6 2.490267+1 3.742599-6 2.410600+1 3.751744-6 2.328083+1 3.770032-6 2.158618+1 3.794322-6 1.944271+1 3.806610-6 1.848887+1 3.825186-6 1.728176+1 3.836628-6 1.669629+1 3.846165-6 1.630386+1 3.852332-6 1.609492+1 3.862011-6 1.583162+1 3.871690-6 1.563378+1 3.903481-6 1.516061+1 3.911394-6 1.501590+1 3.919688-6 1.483123+1 3.929413-6 1.456592+1 3.945165-6 1.402763+1 3.961343-6 1.336765+1 3.981366-6 1.247751+1 4.010246-6 1.118649+1 4.026682-6 1.047055+1 4.043884-6 9.727396+0 4.059024-6 9.071295+0 4.074776-6 8.388063+0 4.096671-6 7.465817+0 4.118412-6 6.647475+0 4.131647-6 6.229905+0 4.144249-6 5.901218+0 4.154526-6 5.683034+0 4.164823-6 5.504010+0 4.174110-6 5.368870+0 4.202491-6 5.009868+0 4.212562-6 4.865129+0 4.222634-6 4.696377+0 4.232705-6 4.499551+0 4.242776-6 4.274659+0 4.252847-6 4.025287+0 4.262919-6 3.757630+0 4.272990-6 3.479285+0 4.285415-6 3.132659+0 4.295886-6 2.846541+0 4.306357-6 2.571931+0 4.322372-6 2.181515+0 4.337769-6 1.843828+0 4.365158-6 1.348016+0 4.372440-6 1.246010+0 4.377329-6 1.186995+0 4.382217-6 1.136698+0 4.386677-6 1.099270+0 4.396050-6 1.050292+0 4.400736-6 1.042441+0 4.403079-6 1.042963+0 4.405422-6 1.046535+0 4.408108-6 1.054443+0 4.412138-6 1.074045+0 4.416167-6 1.102991+0 4.417580-6 1.115348+0 4.423869-6 1.184046+0 4.428782-6 1.252804+0 4.431081-6 1.289319+0 4.438979-6 1.434494+0 4.447537-6 1.623431+0 4.464219-6 2.081691+0 4.472370-6 2.360875+0 4.478933-6 2.628006+0 4.482504-6 2.795464+0 4.492766-6 3.403030+0 4.497117-6 3.737580+0 4.503927-6 4.388032+0 4.508287-6 4.904797+0 4.512867-6 5.549617+0 4.518410-6 6.493177+0 4.520495-6 6.899989+0 4.532413-6 9.862853+0 4.542061-6 1.317463+1 4.549153-6 1.618593+1 4.555228-6 1.915944+1 4.560186-6 2.184574+1 4.564219-6 2.419144+1 4.567817-6 2.639294+1 4.573680-6 3.016873+1 4.577644-6 3.282543+1 4.582821-6 3.637502+1 4.586549-6 3.895707+1 4.591583-6 4.242762+1 4.596462-6 4.571854+1 4.600784-6 4.852461+1 4.605254-6 5.127177+1 4.609739-6 5.382355+1 4.614037-6 5.603588+1 4.618982-6 5.825321+1 4.622279-6 5.951408+1 4.627142-6 6.102745+1 4.631026-6 6.192195+1 4.641605-6 6.286607+1 4.646172-6 6.258980+1 4.653241-6 6.137478+1 4.656584-6 6.048461+1 4.659819-6 5.944387+1 4.662903-6 5.829791+1 4.665701-6 5.713856+1 4.670455-6 5.493354+1 4.674111-6 5.306276+1 4.679283-6 5.020813+1 4.684103-6 4.738495+1 4.690563-6 4.346094+1 4.695870-6 4.020875+1 4.702601-6 3.617795+1 4.718818-6 2.773399+1 4.721138-6 2.674815+1 4.725199-6 2.519144+1 4.731290-6 2.329443+1 4.734580-6 2.250473+1 4.737382-6 2.196867+1 4.740542-6 2.151868+1 4.742997-6 2.128432+1 4.751018-6 2.123201+1 4.753483-6 2.143558+1 4.754675-6 2.157078+1 4.758801-6 2.222116+1 4.763594-6 2.332243+1 4.767413-6 2.445455+1 4.771377-6 2.585362+1 4.777285-6 2.832612+1 4.794456-6 3.751393+1 4.800749-6 4.132146+1 4.806948-6 4.512181+1 4.810063-6 4.701293+1 4.815982-6 5.050546+1 4.821588-6 5.361859+1 4.824282-6 5.502341+1 4.828891-6 5.726045+1 4.834236-6 5.955087+1 4.838034-6 6.095450+1 4.844379-6 6.284266+1 4.848650-6 6.377184+1 4.855075-6 6.462901+1 4.859065-6 6.483079+1 4.862873-6 6.478897+1 4.866682-6 6.452300+1 4.871760-6 6.383282+1 4.875025-6 6.319660+1 4.878289-6 6.241874+1 4.884093-6 6.071367+1 4.889897-6 5.864353+1 4.895700-6 5.626824+1 4.901504-6 5.365044+1 4.904493-6 5.222824+1 4.910935-6 4.904039+1 4.913111-6 4.793652+1 4.924718-6 4.196946+1 4.928125-6 4.022910+1 4.938343-6 3.515709+1 4.947933-6 3.071061+1 4.958046-6 2.645039+1 4.968656-6 2.250527+1 4.987956-6 1.670003+1 5.000203-6 1.385295+1 5.012450-6 1.156880+1 5.024698-6 9.784513+0 5.030741-6 9.074347+0 5.034709-6 8.666828+0 5.040570-6 8.148553+0 5.057530-6 7.199710+0 5.069918-6 7.011872+0 5.071466-6 7.017349+0 5.082305-6 7.225721+0 5.087003-6 7.402735+0 5.091487-6 7.615770+0 5.097828-6 7.982475+0 5.107020-6 8.624680+0 5.122234-6 9.854117+0 5.130299-6 1.051998+1 5.134921-6 1.088753+1 5.142084-6 1.142067+1 5.144472-6 1.158593+1 5.157404-6 1.234983+1 5.169948-6 1.287406+1 5.182192-6 1.324144+1 5.194922-6 1.362401+1 5.201116-6 1.387552+1 5.207089-6 1.419544+1 5.210675-6 1.443526+1 5.216257-6 1.489547+1 5.221839-6 1.547859+1 5.222979-6 1.561432+1 5.230955-6 1.673792+1 5.236890-6 1.778398+1 5.248650-6 2.041095+1 5.261448-6 2.406601+1 5.274375-6 2.841584+1 5.281839-6 3.110486+1 5.289376-6 3.385463+1 5.296137-6 3.627994+1 5.300684-6 3.785569+1 5.305917-6 3.958689+1 5.311947-6 4.143957+1 5.324706-6 4.470665+1 5.328818-6 4.553784+1 5.337863-6 4.694428+1 5.344526-6 4.759669+1 5.351655-6 4.793498+1 5.357477-6 4.794455+1 5.365119-6 4.761659+1 5.372487-6 4.696865+1 5.374943-6 4.668761+1 5.384512-6 4.532482+1 5.387702-6 4.478802+1 5.400764-6 4.226618+1 5.417984-6 3.845825+1 5.433011-6 3.501138+1 5.441862-6 3.302304+1 5.476742-6 2.608516+1 5.489742-6 2.399582+1 5.502742-6 2.220944+1 5.509242-6 2.142952+1 5.515743-6 2.072291+1 5.522243-6 2.008676+1 5.528743-6 1.951737+1 5.542428-6 1.851618+1 5.549271-6 1.810384+1 5.556113-6 1.774147+1 5.569789-6 1.714005+1 5.586413-6 1.656865+1 5.603825-6 1.608314+1 5.647087-6 1.508235+1 5.685614-6 1.430650+1 5.805110-6 1.224186+1 5.818975-6 1.205334+1 5.830310-6 1.192629+1 5.842660-6 1.182364+1 5.854649-6 1.176649+1 5.872766-6 1.177031+1 5.879740-6 1.180205+1 5.895313-6 1.193168+1 5.910900-6 1.213250+1 5.956621-6 1.289903+1 5.967203-6 1.305497+1 5.981256-6 1.321786+1 5.996345-6 1.332175+1 6.012346-6 1.334269+1 6.026537-6 1.328628+1 6.038230-6 1.319322+1 6.049475-6 1.307147+1 6.063801-6 1.288299+1 6.128850-6 1.193568+1 6.173665-6 1.144697+1 6.248357-6 1.091351+1 6.367863-6 1.033549+1 6.477742-6 9.919317+0 6.576003-6 9.593988+0 7.287493-6 7.800859+0 7.408167-6 7.466876+0 7.444636-6 7.406936+0 7.466301-6 7.402473+0 7.481104-6 7.416729+0 7.499339-6 7.455117+0 7.528445-6 7.560901+0 7.590947-6 7.867755+0 7.609315-6 7.938294+0 7.627682-6 7.984762+0 7.641667-6 8.001191+0 7.655652-6 8.000529+0 7.682785-6 7.953617+0 7.718150-6 7.824071+0 7.811359-6 7.396944+0 7.959839-6 6.942044+0 8.018615-6 6.835496+0 8.038207-6 6.815324+0 8.072666-6 6.800575+0 8.175352-6 6.820656+0 8.194944-6 6.810324+0 8.222426-6 6.779463+0 8.253721-6 6.723225+0 8.351809-6 6.501738+0 8.423363-6 6.377244+0 8.487540-6 6.285047+0 8.521914-6 6.247646+0 8.554548-6 6.230595+0 8.576225-6 6.233241+0 8.601063-6 6.251549+0 8.659312-6 6.344592+0 8.704663-6 6.422456+0 8.726773-6 6.445560+0 8.752310-6 6.452560+0 8.783046-6 6.429594+0 8.818004-6 6.364858+0 8.855683-6 6.262130+0 8.961707-6 5.934693+0 9.024243-6 5.783583+0 9.081514-6 5.687236+0 9.144377-6 5.627595+0 9.235338-6 5.603585+0 9.298474-6 5.586277+0 9.329429-6 5.565736+0 9.389420-6 5.501451+0 9.503570-6 5.354846+0 9.609692-6 5.246492+0 9.917638-6 4.916047+0 1.012646-5 4.661304+0 1.039495-5 4.389222+0 1.080000-5 3.964248+0 1.109861-5 3.648525+0 1.139950-5 3.335304+0 1.165750-5 3.076890+0 1.193040-5 2.815898+0 1.230269-5 2.485184+0 1.260654-5 2.245559+0 1.276337-5 2.136610+0 1.290563-5 2.048171+0 1.299930-5 1.995991+0 1.314468-5 1.925712+0 1.322377-5 1.893912+0 1.331976-5 1.863638+0 1.341280-5 1.847044+0 1.345690-5 1.844838+0 1.354153-5 1.851155+0 1.369731-5 1.891060+0 1.376859-5 1.918364+0 1.389806-5 1.981201+0 1.401553-5 2.053503+0 1.412538-5 2.135548+0 1.420824-5 2.207488+0 1.433606-5 2.336328+0 1.443026-5 2.445995+0 1.454232-5 2.594343+0 1.468286-5 2.810549+0 1.487431-5 3.164302+0 1.505691-5 3.574806+0 1.524491-5 4.084441+0 1.542213-5 4.656681+0 1.556821-5 5.206906+0 1.575521-5 6.032998+0 1.598144-5 7.239933+0 1.617764-5 8.507653+0 1.637384-5 1.002809+1 1.654471-5 1.159861+1 1.672700-5 1.357654+1 1.687281-5 1.542613+1 1.703663-5 1.783908+1 1.721055-5 2.087343+1 1.738622-5 2.454088+1 1.755092-5 2.864193+1 1.770531-5 3.320595+1 1.785006-5 3.826288+1 1.798577-5 4.383525+1 1.813166-5 5.091390+1 1.823226-5 5.658963+1 1.834407-5 6.382397+1 1.844890-5 7.166030+1 1.854717-5 8.010629+1 1.866710-5 9.214436+1 1.873413-5 9.986006+1 1.880666-5 1.091525+2 1.890890-5 1.242155+2 1.902047-5 1.438638+2 1.911641-5 1.641348+2 1.919664-5 1.840969+2 1.924818-5 1.986727+2 1.929650-5 2.137978+2 1.938710-5 2.467304+2 1.946637-5 2.816922+2 1.953574-5 3.184832+2 1.960459-5 3.626174+2 1.964954-5 3.967558+2 1.969601-5 4.376947+2 1.973667-5 4.792955+2 1.977225-5 5.210228+2 1.980338-5 5.622901+2 1.985786-5 6.470176+2 1.989872-5 7.225768+2 1.995235-5 8.393991+2 2.003362-5 1.056982+3 2.007058-5 1.171435+3 2.011986-5 1.336639+3 2.016914-5 1.512546+3 2.021842-5 1.694895+3 2.026770-5 1.881199+3 2.036626-5 2.283542+3 2.040322-5 2.465450+3 2.041554-5 2.533522+3 2.045250-5 2.769628+3 2.046482-5 2.861652+3 2.051410-5 3.321267+3 2.053104-5 3.521299+3 2.056338-5 3.978618+3 2.058032-5 4.263406+3 2.059649-5 4.567866+3 2.061833-5 5.034206+3 2.064966-5 5.824109+3 2.075541-5 9.688107+3 2.078866-5 1.129551+4 2.081375-5 1.261988+4 2.086460-5 1.554274+4 2.088098-5 1.653377+4 2.091226-5 1.845807+4 2.093897-5 2.010323+4 2.095489-5 2.107010+4 2.097765-5 2.241622+4 2.099959-5 2.365563+4 2.102138-5 2.480962+4 2.104648-5 2.601950+4 2.106798-5 2.693396+4 2.109778-5 2.798607+4 2.112104-5 2.861429+4 2.114815-5 2.911450+4 2.117027-5 2.932962+4 2.121894-5 2.918082+4 2.124168-5 2.882414+4 2.126488-5 2.828260+4 2.128254-5 2.775765+4 2.130536-5 2.694779+4 2.132540-5 2.612569+4 2.134486-5 2.524074+4 2.136989-5 2.399760+4 2.139213-5 2.281321+4 2.141359-5 2.161900+4 2.144616-5 1.974563+4 2.147158-5 1.826455+4 2.150018-5 1.661102+4 2.152243-5 1.535263+4 2.157774-5 1.240690+4 2.160075-5 1.128162+4 2.164468-5 9.326627+3 2.168278-5 7.848342+3 2.173083-5 6.271666+3 2.183171-5 3.899129+3 2.185674-5 3.475979+3 2.188325-5 3.086218+3 2.190976-5 2.749616+3 2.193626-5 2.459486+3 2.196277-5 2.209620+3 2.200392-5 1.888424+3 2.204229-5 1.648052+3 2.206880-5 1.508648+3 2.212334-5 1.274894+3 2.217483-5 1.103589+3 2.222852-5 9.612165+2 2.228221-5 8.455793+2 2.233639-5 7.487706+2 2.239057-5 6.669620+2 2.244474-5 5.966850+2 2.255310-5 4.815312+2 2.271471-5 3.529114+2 2.282653-5 2.863705+2 2.288243-5 2.593503+2 2.293834-5 2.364160+2 2.297168-5 2.246342+2 2.301941-5 2.100933+2 2.305715-5 2.003893+2 2.309488-5 1.920818+2 2.314521-5 1.828094+2 2.321789-5 1.720005+2 2.338577-5 1.512870+2 2.346531-5 1.420548+2 2.352278-5 1.362706+2 2.355760-5 1.334545+2 2.358026-5 1.319923+2 2.361488-5 1.304145+2 2.364384-5 1.297663+2 2.368021-5 1.298678+2 2.371658-5 1.309843+2 2.374204-5 1.323322+2 2.377546-5 1.347216+2 2.381843-5 1.386026+2 2.392391-5 1.495092+2 2.394209-5 1.512378+2 2.399301-5 1.553236+2 2.400756-5 1.562354+2 2.405121-5 1.581611+2 2.406934-5 1.585819+2 2.410106-5 1.587703+2 2.412831-5 1.583878+2 2.416156-5 1.572859+2 2.419624-5 1.554811+2 2.425858-5 1.509575+2 2.434383-5 1.434098+2 2.444097-5 1.350150+2 2.449595-5 1.309605+2 2.453472-5 1.284776+2 2.459883-5 1.250124+2 2.471456-5 1.202177+2 2.494188-5 1.124116+2 2.538244-5 9.757873+1 2.591830-5 8.324132+1 2.630419-5 7.388577+1 2.661809-5 6.656218+1 2.685495-5 6.122921+1 2.704710-5 5.704592+1 2.737151-5 5.033732+1 2.788140-5 4.120648+1 2.800530-5 3.942788+1 2.813426-5 3.785556+1 2.825528-5 3.668608+1 2.836886-5 3.588861+1 2.847505-5 3.542684+1 2.855010-5 3.528646+1 2.862159-5 3.532746+1 2.868818-5 3.556212+1 2.874270-5 3.593744+1 2.880540-5 3.663441+1 2.884558-5 3.726754+1 2.888483-5 3.805665+1 2.892284-5 3.900935+1 2.895967-5 4.013720+1 2.899535-5 4.145116+1 2.902992-5 4.296171+1 2.906340-5 4.467897+1 2.909584-5 4.661291+1 2.912726-5 4.877354+1 2.915770-5 5.117114+1 2.918719-5 5.381644+1 2.921663-5 5.681450+1 2.924344-5 5.989632+1 2.927025-5 6.335602+1 2.932220-5 7.132346+1 2.937090-5 8.065205+1 2.942303-5 9.321287+1 2.945949-5 1.040076+2 2.949949-5 1.182465+2 2.953710-5 1.344523+2 2.957237-5 1.527024+2 2.960543-5 1.730718+2 2.963819-5 1.969919+2 2.966549-5 2.202811+2 2.969273-5 2.470671+2 2.971828-5 2.758657+2 2.974222-5 3.065459+2 2.977651-5 3.575850+2 2.982517-5 4.469871+2 2.997743-5 9.068002+2 3.004143-5 1.211162+3 3.008852-5 1.488288+3 3.012838-5 1.761794+3 3.015193-5 1.941086+3 3.017548-5 2.133887+3 3.021253-5 2.464864+3 3.024957-5 2.829649+3 3.032830-5 3.711373+3 3.033698-5 3.816739+3 3.040239-5 4.652691+3 3.042626-5 4.972695+3 3.047185-5 5.596465+3 3.050947-5 6.115448+3 3.054594-5 6.612850+3 3.058356-5 7.110733+3 3.061319-5 7.485331+3 3.063855-5 7.789620+3 3.067068-5 8.148450+3 3.069875-5 8.433371+3 3.074216-5 8.812628+3 3.077606-5 9.050450+3 3.081659-5 9.260884+3 3.085272-5 9.376554+3 3.087069-5 9.408082+3 3.090497-5 9.419913+3 3.093896-5 9.369526+3 3.099442-5 9.159662+3 3.102259-5 8.996290+3 3.104458-5 8.844421+3 3.107601-5 8.593405+3 3.109621-5 8.412857+3 3.111641-5 8.218869+3 3.114050-5 7.971958+3 3.117211-5 7.625958+3 3.121275-5 7.152821+3 3.124980-5 6.702998+3 3.128684-5 6.244206+3 3.132852-5 5.727116+3 3.136094-5 5.330404+3 3.143503-5 4.464083+3 3.146049-5 4.184400+3 3.150912-5 3.682155+3 3.157858-5 3.044437+3 3.174373-5 1.916800+3 3.177440-5 1.762929+3 3.182369-5 1.546748+3 3.187835-5 1.347042+3 3.191082-5 1.245824+3 3.194865-5 1.142145+3 3.198895-5 1.046511+3 3.202896-5 9.646108+2 3.209141-5 8.583148+2 3.217562-5 7.471207+2 3.225128-5 6.700825+2 3.232838-5 6.073013+2 3.240737-5 5.547944+2 3.249999-5 5.041146+2 3.263048-5 4.465645+2 3.279480-5 3.895894+2 3.295624-5 3.453134+2 3.303928-5 3.261303+2 3.311827-5 3.098932+2 3.319840-5 2.953005+2 3.328399-5 2.816964+2 3.340537-5 2.657362+2 3.344450-5 2.613929+2 3.352128-5 2.539767+2 3.360200-5 2.477388+2 3.368272-5 2.430806+2 3.373426-5 2.409213+2 3.385082-5 2.382859+2 3.391317-5 2.380528+2 3.399123-5 2.387270+2 3.409920-5 2.409268+2 3.425024-5 2.448491+2 3.438857-5 2.474487+2 3.447776-5 2.480441+2 3.457484-5 2.476376+2 3.470546-5 2.456794+2 3.504198-5 2.383483+2 3.520252-5 2.357608+2 3.548134-5 2.330348+2 3.576959-5 2.305711+2 3.616905-5 2.255509+2 3.643187-5 2.220209+2 3.707077-5 2.153131+2 3.784501-5 2.094949+2 3.908690-5 2.027868+2 4.012380-5 1.987084+2 4.147924-5 1.949367+2 4.358881-5 1.915712+2 4.656519-5 1.895998+2 4.952734-5 1.882596+2 5.032446-5 1.873125+2 5.065925-5 1.873968+2 5.101203-5 1.888567+2 5.127662-5 1.912252+2 5.174575-5 1.967893+2 5.203132-5 1.992092+2 5.222289-5 1.998886+2 5.238389-5 1.998982+2 5.323664-5 1.977855+2 5.364061-5 1.980493+2 5.474792-5 1.997511+2 5.594265-5 2.001251+2 5.900000-5 1.999753+2 6.165950-5 1.977328+2 6.389527-5 1.939035+2 6.614973-5 1.879694+2 6.804324-5 1.811424+2 6.991747-5 1.727681+2 7.148804-5 1.644905+2 7.304703-5 1.550952+2 7.450490-5 1.452736+2 7.570537-5 1.374433+2 7.631985-5 1.361159+2 7.745973-5 1.426850+2 7.864820-5 1.553917+2 8.000645-5 1.731746+2 8.115568-5 1.912875+2 8.204717-5 2.078318+2 8.317638-5 2.326561+2 8.423128-5 2.606640+2 8.517507-5 2.908096+2 8.609480-5 3.260022+2 8.685899-5 3.607808+2 8.768478-5 4.054869+2 8.838519-5 4.506433+2 8.899693-5 4.968922+2 8.931163-5 5.236444+2 8.995878-5 5.862564+2 9.023378-5 6.164817+2 9.067760-5 6.707246+2 9.104427-5 7.214556+2 9.146396-5 7.873188+2 9.185969-5 8.584871+2 9.230695-5 9.518423+2 9.266671-5 1.039136+3 9.293297-5 1.112213+3 9.332543-5 1.235856+3 9.372454-5 1.385725+3 9.404678-5 1.529341+3 9.438475-5 1.707929+3 9.470252-5 1.909672+3 9.500000-5 2.137867+3 9.522385-5 2.342506+3 9.543673-5 2.571202+3 9.562299-5 2.806008+3 9.578598-5 3.044910+3 9.592859-5 3.285549+3 9.605337-5 3.525334+3 9.627175-5 4.026670+3 9.643553-5 4.488359+3 9.655836-5 4.894692+3 9.665049-5 5.239138+3 9.678868-5 5.829666+3 9.692687-5 6.522815+3 9.716544-5 8.011999+3 9.728473-5 8.920652+3 9.752330-5 1.112851+4 9.801235-5 1.761055+4 9.821822-5 2.121804+4 9.836594-5 2.412685+4 9.851367-5 2.728250+4 9.875496-5 3.287643+4 9.878512-5 3.360539+4 9.899625-5 3.881210+4 9.907920-5 4.087625+4 9.923754-5 4.477002+4 9.933677-5 4.713659+4 9.944294-5 4.956626+4 9.956643-5 5.221150+4 9.966172-5 5.408540+4 9.978975-5 5.632580+4 9.991314-5 5.813688+4 9.997650-5 5.891937+4 1.001179-4 6.027310+4 1.002283-4 6.093119+4 1.003732-4 6.123921+4 1.004573-4 6.112386+4 1.006991-4 5.960806+4 1.007918-4 5.858131+4 1.008395-4 5.796350+4 1.009930-4 5.559197+4 1.010907-4 5.380822+4 1.011585-4 5.246014+4 1.012738-4 4.998780+4 1.013621-4 4.796667+4 1.014882-4 4.493040+4 1.016200-4 4.163262+4 1.017711-4 3.778017+4 1.018917-4 3.470790+4 1.020381-4 3.105250+4 1.021330-4 2.875309+4 1.023743-4 2.327014+4 1.024413-4 2.185819+4 1.027470-4 1.610788+4 1.029035-4 1.362446+4 1.030562-4 1.149613+4 1.032528-4 9.165427+3 1.034365-4 7.367110+3 1.036322-4 5.807877+3 1.041007-4 3.267527+3 1.043044-4 2.572692+3 1.046486-4 1.834621+3 1.048753-4 1.617553+3 1.050082-4 1.588342+3 1.051267-4 1.625883+3 1.052218-4 1.701612+3 1.052959-4 1.790012+3 1.053632-4 1.893638+3 1.054052-4 1.970191+3 1.054638-4 2.092139+3 1.055154-4 2.215113+3 1.055691-4 2.358700+3 1.056623-4 2.647988+3 1.057940-4 3.146912+3 1.060675-4 4.550246+3 1.062586-4 5.846813+3 1.063997-4 6.978335+3 1.065741-4 8.581229+3 1.066945-4 9.814857+3 1.069379-4 1.259594+4 1.070717-4 1.426505+4 1.072244-4 1.625819+4 1.073496-4 1.793932+4 1.074206-4 1.890136+4 1.075413-4 2.053728+4 1.076715-4 2.227629+4 1.077588-4 2.341155+4 1.078798-4 2.492641+4 1.079705-4 2.600262+4 1.080857-4 2.727611+4 1.082119-4 2.853185+4 1.083072-4 2.936713+4 1.084342-4 3.031404+4 1.085312-4 3.089832+4 1.087747-4 3.179524+4 1.089003-4 3.192799+4 1.090702-4 3.175142+4 1.091978-4 3.135980+4 1.092725-4 3.103341+4 1.093949-4 3.035328+4 1.095324-4 2.939524+4 1.096473-4 2.845792+4 1.097950-4 2.710122+4 1.099182-4 2.586671+4 1.100734-4 2.421772+4 1.101856-4 2.298605+4 1.102978-4 2.173967+4 1.105528-4 1.893039+4 1.106085-4 1.833238+4 1.110341-4 1.412639+4 1.114894-4 1.055822+4 1.117260-4 9.111778+3 1.119328-4 8.056935+3 1.121351-4 7.193912+3 1.122718-4 6.693975+3 1.124084-4 6.252988+3 1.125595-4 5.825991+3 1.127573-4 5.349230+3 1.129551-4 4.950005+3 1.131136-4 4.675973+3 1.133906-4 4.275334+3 1.136677-4 3.951939+3 1.139623-4 3.671223+3 1.141904-4 3.488442+3 1.144001-4 3.341688+3 1.146051-4 3.214708+3 1.148258-4 3.093222+3 1.150742-4 2.972331+3 1.153366-4 2.859466+3 1.156848-4 2.728219+3 1.160350-4 2.612408+3 1.168201-4 2.392582+3 1.171997-4 2.300806+3 1.178224-4 2.167269+3 1.183118-4 2.076213+3 1.189458-4 1.974704+3 1.198891-4 1.852201+3 1.208295-4 1.756087+3 1.219492-4 1.667011+3 1.233402-4 1.584358+3 1.245000-4 1.532568+3 1.259500-4 1.483380+3 1.273503-4 1.446733+3 1.287000-4 1.417866+3 1.334481-4 1.338485+3 1.449814-4 1.176469+3 1.902459-4 7.926859+2 1.971788-4 7.497091+2 2.012464-4 7.237645+2 2.035800-4 7.079847+2 2.082086-4 6.719141+2 2.094375-4 6.657738+2 2.107505-4 6.633293+2 2.132814-4 6.661151+2 2.158000-4 6.678246+2 2.213095-4 6.613863+2 2.268032-4 6.508473+2 2.371374-4 6.276899+2 2.434193-4 6.127605+2 2.485808-4 5.997400+2 2.570396-4 5.767322+2 2.594428-4 5.687126+2 2.641013-4 5.513038+2 2.654414-4 5.485111+2 2.667395-4 5.481423+2 2.712438-4 5.553901+2 2.733750-4 5.549151+2 2.800141-4 5.440119+2 2.990324-4 5.116055+2 3.117247-4 4.866372+2 3.260900-4 4.548239+2 3.314197-4 4.428722+2 3.374072-4 4.346206+2 3.419872-4 4.274875+2 3.539769-4 4.033622+2 3.693524-4 3.680341+2 3.816306-4 3.363357+2 3.915121-4 3.073573+2 3.974462-4 2.870985+2 4.032614-4 2.652131+2 4.052766-4 2.594271+2 4.069042-4 2.561357+2 4.101893-4 2.521188+2 4.125980-4 2.490918+2 4.147582-4 2.451455+2 4.170875-4 2.397865+2 4.208509-4 2.298298+2 4.240849-4 2.199812+2 4.288205-4 2.042909+2 4.320000-4 1.939819+2 4.363155-4 1.799991+2 4.394757-4 1.693069+2 4.422000-4 1.597929+2 4.450000-4 1.499351+2 4.535000-4 1.224409+2 4.553750-4 1.174668+2 4.574577-4 1.126395+2 4.595306-4 1.086731+2 4.621894-4 1.049754+2 4.644928-4 1.031717+2 4.670932-4 1.028346+2 4.700000-4 1.047279+2 4.725105-4 1.083694+2 4.765000-4 1.180488+2 4.802484-4 1.315249+2 4.835029-4 1.466674+2 4.882181-4 1.741133+2 4.957902-4 2.306637+2 5.000551-4 2.682565+2 5.030000-4 2.961636+2 5.050749-4 3.166312+2 5.080000-4 3.464388+2 5.108838-4 3.767261+2 5.135220-4 4.050602+2 5.159501-4 4.315534+2 5.194422-4 4.701647+2 5.242880-4 5.243034+2 5.289942-4 5.770469+2 5.347941-4 6.417809+2 5.417569-4 7.185744+2 5.475000-4 7.804475+2 5.559043-4 8.673315+2 5.617120-4 9.245230+2 5.684933-4 9.880171+2 5.790377-4 1.080836+3 5.903311-4 1.172739+3 6.025596-4 1.264312+3 6.117925-4 1.328598+3 6.273357-4 1.426252+3 6.456542-4 1.526241+3 6.654560-4 1.617318+3 6.837540-4 1.687675+3 6.996061-4 1.737018+3 7.169997-4 1.778369+3 7.315342-4 1.805669+3 7.398610-4 1.868492+3 7.436944-4 1.945331+3 7.454266-4 1.992940+3 7.492411-4 2.117400+3 7.541476-4 2.266155+3 7.563974-4 2.305865+3 7.582503-4 2.318436+3 7.601451-4 2.311847+3 7.620246-4 2.288054+3 7.656570-4 2.210499+3 7.689883-4 2.131627+3 7.707636-4 2.096112+3 7.725845-4 2.067690+3 7.763176-4 2.037980+3 7.820936-4 2.058721+3 7.839642-4 2.079140+3 7.880663-4 2.142992+3 7.939478-4 2.266300+3 7.993353-4 2.369553+3 8.013936-4 2.394124+3 8.033794-4 2.406937+3 8.053804-4 2.408898+3 8.073558-4 2.401335+3 8.168513-4 2.318805+3 8.190502-4 2.307516+3 8.225880-4 2.302132+3 8.320029-4 2.337402+3 8.462526-4 2.409415+3 8.676796-4 2.494087+3 9.041698-4 2.606677+3 9.339261-4 2.677135+3 9.681622-4 2.740483+3 1.003651-3 2.782184+3 1.043614-3 2.796470+3 1.056046-3 2.812054+3 1.070427-3 2.855011+3 1.093327-3 2.944092+3 1.106751-3 2.986212+3 1.132691-3 3.040823+3 1.164796-3 3.088345+3 1.205426-3 3.132549+3 1.255354-3 3.170119+3 1.310690-3 3.192767+3 1.356146-3 3.224405+3 1.397502-3 3.238085+3 1.461403-3 3.237351+3 1.479769-3 3.243197+3 1.519181-3 3.271924+3 1.566751-3 3.287868+3 1.629005-3 3.293010+3 1.716511-3 3.286733+3 1.790838-3 3.269029+3 1.898676-3 3.236189+3 1.998136-3 3.199128+3 2.109284-3 3.149501+3 2.235689-3 3.080721+3 2.367931-3 3.004012+3 2.513142-3 2.909057+3 2.637850-3 2.821409+3 2.783973-3 2.709007+3 2.909336-3 2.604392+3 3.032886-3 2.491797+3 3.136437-3 2.384113+3 3.224503-3 2.281948+3 3.298598-3 2.185577+3 3.359310-3 2.096273+3 3.409082-3 2.013161+3 3.454025-3 1.927321+3 3.492962-3 1.840827+3 3.527000-3 1.751430+3 3.551942-3 1.676256+3 3.588468-3 1.565489+3 3.596911-3 1.544832+3 3.605699-3 1.527397+3 3.614665-3 1.514758+3 3.621382-3 1.509008+3 3.628189-3 1.506467+3 3.640861-3 1.509848+3 3.658480-3 1.527756+3 3.696022-3 1.586379+3 3.729608-3 1.648414+3 3.769304-3 1.734292+3 3.794000-3 1.799546+3 3.814643-3 1.866054+3 3.850020-3 1.993725+3 3.868816-3 2.056997+3 3.906765-3 2.169570+3 3.941499-3 2.269038+3 3.961163-3 2.323006+3 3.978294-3 2.366082+3 4.007935-3 2.429471+3 4.039203-3 2.482019+3 4.073870-3 2.526928+3 4.112422-3 2.564370+3 4.150913-3 2.591121+3 4.194526-3 2.610356+3 4.237157-3 2.618372+3 4.271957-3 2.615935+3 4.333184-3 2.591963+3 4.370362-3 2.579425+3 4.385968-3 2.581390+3 4.403013-3 2.591349+3 4.430029-3 2.625076+3 4.499383-3 2.760336+3 4.520998-3 2.796992+3 4.543263-3 2.827912+3 4.574643-3 2.861264+3 4.615324-3 2.892256+3 4.667265-3 2.920147+3 4.720862-3 2.940205+3 4.772375-3 2.953204+3 4.853847-3 2.965384+3 4.993052-3 2.967811+3 5.132888-3 2.948381+3 5.243418-3 2.913230+3 5.312384-3 2.886624+3 5.363642-3 2.880416+3 5.491587-3 2.907250+3 5.573830-3 2.904557+3 5.693639-3 2.886114+3 5.796014-3 2.901882+3 5.884229-3 2.913026+3 6.033576-3 2.906209+3 6.259548-3 2.876102+3 6.551885-3 2.822812+3 6.874405-3 2.754104+3 7.328245-3 2.650211+3 7.776000-3 2.545835+3 8.222426-3 2.439589+3 8.857314-3 2.293248+3 9.529333-3 2.146834+3 1.028460-2 1.993971+3 1.123230-2 1.817537+3 1.228076-2 1.642794+3 1.278428-2 1.565233+3 1.336042-2 1.480749+3 1.393039-2 1.401038+3 1.445440-2 1.330523+3 1.487648-2 1.275176+3 1.527786-2 1.223330+3 1.561736-2 1.179203+3 1.592435-2 1.138842+3 1.617731-2 1.104774+3 1.640417-2 1.072989+3 1.658820-2 1.045842+3 1.675184-2 1.020065+3 1.688496-2 9.972277+2 1.700326-2 9.745763+2 1.710027-2 9.534264+2 1.722963-2 9.204349+2 1.744692-2 8.607449+2 1.751582-2 8.474354+2 1.758256-2 8.404532+2 1.764022-2 8.398082+2 1.771339-2 8.458224+2 1.780820-2 8.618798+2 1.795396-2 8.918810+2 1.806005-2 9.097640+2 1.812269-2 9.177083+2 1.820802-2 9.256605+2 1.831521-2 9.320103+2 1.843211-2 9.357878+2 1.857461-2 9.375230+2 1.873054-2 9.369662+2 1.890046-2 9.342305+2 1.912492-2 9.281094+2 1.955450-2 9.110432+2 2.002488-2 8.868646+2 2.026370-2 8.726350+2 2.048580-2 8.580202+2 2.068332-2 8.436690+2 2.086474-2 8.289011+2 2.101878-2 8.145574+2 2.122108-2 7.920886+2 2.147429-2 7.612964+2 2.158277-2 7.513506+2 2.168055-2 7.460999+2 2.177379-2 7.446054+2 2.194709-2 7.480489+2 2.225916-2 7.559491+2 2.249219-2 7.619837+2 2.285263-2 7.770647+2 2.306791-2 7.825106+2 2.338661-2 7.838707+2 2.378397-2 7.799856+2 2.430201-2 7.708616+2 2.486709-2 7.581491+2 2.602773-2 7.278720+2 2.717033-2 6.959539+2 2.913860-2 6.417956+2 3.130275-2 5.869648+2 3.408617-2 5.248804+2 3.768889-2 4.568097+2 4.078411-2 4.072447+2 4.530529-2 3.472058+2 5.079427-2 2.900135+2 5.510894-2 2.537026+2 6.022209-2 2.181696+2 7.084807-2 1.641434+2 8.000000-2 1.321196+2 9.051557-2 1.053072+2 9.788828-2 9.066949+1 1.013036-1 8.469619+1 1.065250-1 7.624394+1 1.102792-1 7.045512+1 1.128144-1 6.648930+1 1.138114-1 6.484774+1 1.146991-1 6.329358+1 1.154031-1 6.195190+1 1.164016-1 5.978822+1 1.181093-1 5.577641+1 1.186244-1 5.493252+1 1.190494-1 5.452687+1 1.194350-1 5.440773+1 1.200237-1 5.463140+1 1.217198-1 5.631612+1 1.226310-1 5.689132+1 1.237372-1 5.711095+1 1.254314-1 5.688792+1 1.275976-1 5.616783+1 1.301366-1 5.503791+1 1.338243-1 5.320082+1 1.400850-1 4.992627+1 1.493173-1 4.526208+1 1.599387-1 4.045740+1 1.791001-1 3.335216+1 2.064568-1 2.594558+1 2.438864-1 1.919383+1 2.874353-1 1.418124+1 3.567514-1 9.458363+0 4.579009-1 5.880804+0 6.225578-1 3.252467+0 9.386420-1 1.462345+0 1.347258+0 7.197915-1 2.135261+0 2.894454-1 4.461192+0 6.671936-2 1.347258+1 7.326593-3 4.068655+1 8.033715-4 1.228714+2 8.808820-5 3.710658+2 9.658680-6 1.258925+3 8.391113-7 3.981072+3 8.391113-8 1.258925+4 8.391113-9 3.981072+4 8.39111-10 1.000000+5 1.32990-10 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.786400-6 1.258900-6 4.416200-6 1.584900-6 6.999100-6 1.995300-6 1.109300-5 2.511900-6 1.758100-5 3.162300-6 2.786400-5 3.981100-6 4.416100-5 5.011900-6 6.999000-5 6.309600-6 1.109300-4 7.943300-6 1.758000-4 1.000000-5 2.786300-4 1.258900-5 4.415900-4 1.584900-5 6.995100-4 1.995300-5 1.107900-3 2.511900-5 1.755000-3 3.162300-5 2.780400-3 3.981100-5 4.405300-3 5.011900-5 6.980300-3 6.309600-5 1.106100-2 7.943300-5 1.750100-2 1.000000-4 2.768100-2 1.258900-4 4.376700-2 1.584900-4 6.899700-2 1.995300-4 1.085800-1 2.511900-4 1.701100-1 3.162300-4 2.647700-1 3.981100-4 4.076200-1 5.011900-4 6.148500-1 6.309600-4 9.046600-1 7.943300-4 1.290500+0 1.000000-3 1.781200+0 1.258900-3 2.387400+0 1.584900-3 3.139300+0 1.995300-3 4.083400+0 2.511900-3 5.256100+0 3.162300-3 6.676400+0 3.981100-3 8.364000+0 5.011900-3 1.030900+1 6.309600-3 1.247200+1 7.943300-3 1.488900+1 1.000000-2 1.760000+1 1.258900-2 2.056900+1 1.584900-2 2.364300+1 1.995300-2 2.663200+1 2.511900-2 2.949300+1 3.162300-2 3.219300+1 3.981100-2 3.460000+1 5.011900-2 3.651900+1 6.309600-2 3.779700+1 7.943300-2 3.840700+1 1.000000-1 3.837800+1 1.258900-1 3.773500+1 1.584900-1 3.648800+1 1.995300-1 3.489800+1 2.511900-1 3.293900+1 3.162300-1 3.077700+1 3.981100-1 2.850200+1 5.011900-1 2.618000+1 6.309600-1 2.386900+1 7.943300-1 2.161100+1 1.000000+0 1.943600+1 1.258900+0 1.735900+1 1.584900+0 1.540100+1 1.995300+0 1.357200+1 2.511900+0 1.188200+1 3.162300+0 1.033600+1 3.981100+0 8.937700+0 5.011900+0 7.684500+0 6.309600+0 6.572000+0 7.943300+0 5.593600+0 1.000000+1 4.739500+0 1.258900+1 3.999600+0 1.584900+1 3.362700+0 1.995300+1 2.817900+0 2.511900+1 2.354200+0 3.162300+1 1.961500+0 3.981100+1 1.630300+0 5.011900+1 1.352100+0 6.309600+1 1.119000+0 7.943300+1 9.244700-1 1.000000+2 7.624800-1 1.258900+2 6.279200-1 1.584900+2 5.163900-1 1.995300+2 4.241300-1 2.511900+2 3.479400-1 3.162300+2 2.851300-1 3.981100+2 2.334300-1 5.011900+2 1.909200-1 6.309600+2 1.560100-1 7.943300+2 1.273900-1 1.000000+3 1.039300-1 1.258900+3 8.473500-2 1.584900+3 6.903600-2 1.995300+3 5.621000-2 2.511900+3 4.573900-2 3.162300+3 3.719700-2 3.981100+3 3.023300-2 5.011900+3 2.456100-2 6.309600+3 1.994200-2 7.943300+3 1.618500-2 1.000000+4 1.312900-2 1.258900+4 1.064600-2 1.584900+4 8.628700-3 1.995300+4 6.990800-3 2.511900+4 5.661700-3 3.162300+4 4.583500-3 3.981100+4 3.709400-3 5.011900+4 3.000900-3 6.309600+4 2.426900-3 7.943300+4 1.962100-3 1.000000+5 1.585800-3 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997262-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159557-4 3.981072-4 3.976777-4 5.011872-4 5.005115-4 6.309573-4 6.298970-4 7.943282-4 7.926698-4 1.000000-3 9.974093-4 1.258925-3 1.254891-3 1.584893-3 1.578586-3 1.995262-3 1.985369-3 2.511886-3 2.496349-3 3.162278-3 3.137896-3 3.981072-3 3.942862-3 5.011872-3 4.952129-3 6.309573-3 6.216283-3 7.943282-3 7.798041-3 1.000000-2 9.773407-3 1.258925-2 1.223630-2 1.584893-2 1.530183-2 1.995262-2 1.910944-2 2.511886-2 2.382430-2 3.162278-2 2.964086-2 3.981072-2 3.679184-2 5.011872-2 4.555441-2 6.309573-2 5.625599-2 7.943282-2 6.927884-2 1.000000-1 8.502666-2 1.258925-1 1.040344-1 1.584893-1 1.269810-1 1.995262-1 1.542819-1 2.511886-1 1.869896-1 3.162278-1 2.258852-1 3.981072-1 2.720137-1 5.011872-1 3.265811-1 6.309573-1 3.909671-1 7.943282-1 4.668677-1 1.000000+0 5.560943-1 1.258925+0 6.614324-1 1.584893+0 7.856605-1 1.995262+0 9.326934-1 2.511886+0 1.107217+0 3.162278+0 1.314896+0 3.981072+0 1.562849+0 5.011872+0 1.859705+0 6.309573+0 2.216004+0 7.943282+0 2.644370+0 1.000000+1 3.160972+0 1.258925+1 3.785163+0 1.584893+1 4.540242+0 1.995262+1 5.455494+0 2.511886+1 6.566311+0 3.162278+1 7.916236+0 3.981072+1 9.558775+0 5.011872+1 1.155963+1 6.309573+1 1.399937+1 7.943282+1 1.697702+1 1.000000+2 2.061436+1 1.258925+2 2.506176+1 1.584893+2 3.050328+1 1.995262+2 3.716693+1 2.511886+2 4.533181+1 3.162278+2 5.534434+1 3.981072+2 6.762911+1 5.011872+2 8.271252+1 6.309573+2 1.012419+2 7.943282+2 1.240177+2 1.000000+3 1.520266+2 1.258925+3 1.864897+2 1.584893+3 2.289187+2 1.995262+3 2.811769+2 2.511886+3 3.455612+2 3.162278+3 4.249306+2 3.981072+3 5.228172+2 5.011872+3 6.435773+2 6.309573+3 7.926362+2 7.943282+3 9.766708+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88196-10 1.995262-5 1.090625-9 2.511886-5 1.728496-9 3.162278-5 2.739513-9 3.981072-5 4.341884-9 5.011872-5 6.881404-9 6.309573-5 1.090599-8 7.943282-5 1.727738-8 1.000000-4 2.737541-8 1.258925-4 4.337392-8 1.584893-4 6.868124-8 1.995262-4 1.087508-7 2.511886-4 1.720930-7 3.162278-4 2.720757-7 3.981072-4 4.294343-7 5.011872-4 6.757091-7 6.309573-4 1.060364-6 7.943282-4 1.658444-6 1.000000-3 2.590711-6 1.258925-3 4.034288-6 1.584893-3 6.306899-6 1.995262-3 9.893038-6 2.511886-3 1.553737-5 3.162278-3 2.438147-5 3.981072-3 3.820922-5 5.011872-3 5.974354-5 6.309573-3 9.329048-5 7.943282-3 1.452415-4 1.000000-2 2.265925-4 1.258925-2 3.529511-4 1.584893-2 5.471062-4 1.995262-2 8.431840-4 2.511886-2 1.294569-3 3.162278-2 1.981912-3 3.981072-2 3.018872-3 5.011872-2 4.564311-3 6.309573-2 6.839740-3 7.943282-2 1.015399-2 1.000000-1 1.497334-2 1.258925-1 2.185810-2 1.584893-1 3.150831-2 1.995262-1 4.524431-2 2.511886-1 6.419909-2 3.162278-1 9.034257-2 3.981072-1 1.260935-1 5.011872-1 1.746061-1 6.309573-1 2.399902-1 7.943282-1 3.274605-1 1.000000+0 4.439057-1 1.258925+0 5.974930-1 1.584893+0 7.992327-1 1.995262+0 1.062569+0 2.511886+0 1.404669+0 3.162278+0 1.847382+0 3.981072+0 2.418223+0 5.011872+0 3.152168+0 6.309573+0 4.093569+0 7.943282+0 5.298913+0 1.000000+1 6.839028+0 1.258925+1 8.804091+0 1.584893+1 1.130869+1 1.995262+1 1.449713+1 2.511886+1 1.855255+1 3.162278+1 2.370654+1 3.981072+1 3.025194+1 5.011872+1 3.855909+1 6.309573+1 4.909636+1 7.943282+1 6.245580+1 1.000000+2 7.938564+1 1.258925+2 1.008308+2 1.584893+2 1.279860+2 1.995262+2 1.623593+2 2.511886+2 2.058568+2 3.162278+2 2.608834+2 3.981072+2 3.304781+2 5.011872+2 4.184747+2 6.309573+2 5.297154+2 7.943282+2 6.703106+2 1.000000+3 8.479734+2 1.258925+3 1.072436+3 1.584893+3 1.355975+3 1.995262+3 1.714085+3 2.511886+3 2.166325+3 3.162278+3 2.737347+3 3.981072+3 3.458255+3 5.011872+3 4.368295+3 6.309573+3 5.516937+3 7.943282+3 6.966612+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 4.110000-6 6.172208+6 4.180000-6 6.262800+6 4.365158-6 6.428768+6 4.600000-6 6.588240+6 4.750000-6 6.655468+6 4.750000-6 9.598441+6 4.800000-6 9.673835+6 4.900000-6 9.795988+6 4.960000-6 9.857782+6 5.150000-6 1.003383+7 5.248075-6 1.011354+7 5.420000-6 1.022688+7 5.600000-6 1.032466+7 5.700000-6 1.036595+7 5.880000-6 1.042531+7 5.880000-6 2.024645+7 5.956621-6 1.990613+7 6.025596-6 1.956857+7 6.350000-6 1.815981+7 6.500000-6 1.759992+7 6.700000-6 1.691741+7 6.918310-6 1.625215+7 7.000000-6 1.602789+7 7.100000-6 1.575946+7 7.585776-6 1.462416+7 8.128305-6 1.358510+7 8.222426-6 1.342567+7 8.317638-6 1.326414+7 8.609938-6 1.281124+7 8.810489-6 1.252018+7 9.030000-6 1.221159+7 9.030000-6 1.259269+7 9.120108-6 1.247063+7 9.200000-6 1.236665+7 9.440609-6 1.205863+7 9.772372-6 1.165581+7 1.000000-5 1.139658+7 1.010000-5 1.128237+7 1.012000-5 1.126009+7 1.012000-5 1.149020+7 1.035142-5 1.124047+7 1.059254-5 1.098924+7 1.060000-5 1.098132+7 1.085000-5 1.072716+7 1.090000-5 1.067869+7 1.096478-5 1.061711+7 1.120000-5 1.039148+7 1.122018-5 1.037290+7 1.150000-5 1.011216+7 1.161449-5 1.001191+7 1.175000-5 9.892004+6 1.188502-5 9.776963+6 1.190000-5 9.763680+6 1.210000-5 9.592455+6 1.230269-5 9.428207+6 1.245000-5 9.309791+6 1.258925-5 9.202297+6 1.273503-5 9.087089+6 1.280000-5 9.037475+6 1.290000-5 8.963097+6 1.318257-5 8.753960+6 1.320000-5 8.741629+6 1.333521-5 8.648409+6 1.350000-5 8.532516+6 1.364583-5 8.429687+6 1.365000-5 8.426820+6 1.412538-5 8.122020+6 1.420000-5 8.075112+6 1.428894-5 8.017889+6 1.470000-5 7.772854+6 1.496236-5 7.631300+6 1.513561-5 7.534397+6 1.531087-5 7.442420+6 1.570000-5 7.255876+6 1.584893-5 7.187132+6 1.610000-5 7.072055+6 1.621810-5 7.021432+6 1.659587-5 6.874061+6 1.678804-5 6.802689+6 1.698244-5 6.731448+6 1.757924-5 6.545466+6 1.778279-5 6.488859+6 1.840772-5 6.335399+6 1.862087-5 6.293461+6 1.883649-5 6.253678+6 1.905461-5 6.218659+6 1.980000-5 6.126195+6 2.041738-5 6.085072+6 2.070000-5 6.075256+6 2.113489-5 6.071317+6 2.162719-5 6.082688+6 2.213095-5 6.112175+6 2.238721-5 6.133077+6 2.290868-5 6.185158+6 2.317395-5 6.217733+6 2.378500-5 6.306453+6 2.400000-5 6.340398+6 2.426610-5 6.385092+6 2.454709-5 6.436939+6 2.511886-5 6.551205+6 2.525000-5 6.577565+6 2.525000-5 2.199380+7 2.580000-5 2.104534+7 2.600160-5 2.072379+7 2.630268-5 2.026964+7 2.660725-5 1.983508+7 2.691535-5 1.942360+7 2.754229-5 1.866279+7 2.800000-5 1.816317+7 2.818383-5 1.798228+7 2.884032-5 1.738712+7 2.917427-5 1.711059+7 2.951209-5 1.684734+7 3.000000-5 1.650070+7 3.040000-5 1.623683+7 3.090295-5 1.593113+7 3.126079-5 1.573719+7 3.162278-5 1.554909+7 3.198895-5 1.536911+7 3.273407-5 1.504796+7 3.300000-5 1.494119+7 3.427678-5 1.449452+7 3.450000-5 1.442540+7 3.467369-5 1.437161+7 3.552000-5 1.413849+7 3.552000-5 2.070781+7 3.589219-5 2.047685+7 3.630781-5 2.021962+7 3.672823-5 1.995664+7 3.740000-5 1.956436+7 3.758374-5 1.945920+7 3.801894-5 1.920692+7 3.900000-5 1.869088+7 3.935501-5 1.851611+7 3.950000-5 1.844725+7 3.981072-5 1.829490+7 4.120975-5 1.768144+7 4.168694-5 1.749708+7 4.265795-5 1.711544+7 4.315191-5 1.693864+7 4.400000-5 1.665940+7 4.415704-5 1.660600+7 4.466836-5 1.643403+7 4.623810-5 1.596585+7 4.677351-5 1.580895+7 4.800000-5 1.547191+7 4.850000-5 1.534790+7 5.000000-5 1.496467+7 5.011872-5 1.493590+7 5.080000-5 1.477673+7 5.188000-5 1.450568+7 5.248075-5 1.436487+7 5.300000-5 1.424973+7 5.400000-5 1.400644+7 5.439000-5 1.391530+7 5.439000-5 1.425694+7 5.495409-5 1.411733+7 5.500000-5 1.410612+7 5.623413-5 1.377942+7 5.688529-5 1.361671+7 5.900000-5 1.306952+7 5.920000-5 1.301473+7 6.025596-5 1.273558+7 6.095369-5 1.255924+7 6.165950-5 1.236719+7 6.309573-5 1.199688+7 6.382635-5 1.179760+7 6.531306-5 1.141294+7 6.580000-5 1.128133+7 6.606934-5 1.120988+7 6.760830-5 1.081709+7 6.800000-5 1.071210+7 6.839116-5 1.060918+7 7.000000-5 1.020320+7 7.244360-5 9.589841+6 7.328245-5 9.377819+6 7.413102-5 9.171339+6 7.500000-5 8.967802+6 7.585776-5 8.758923+6 7.673615-5 8.552517+6 7.800000-5 8.268218+6 7.852356-5 8.146761+6 7.943282-5 7.942511+6 8.035261-5 7.743434+6 8.150000-5 7.489327+6 8.317638-5 7.139368+6 8.511380-5 6.738546+6 8.609938-5 6.546990+6 8.709636-5 6.348358+6 8.810489-5 6.155757+6 8.912509-5 5.969427+6 9.000000-5 5.805281+6 9.225714-5 5.409389+6 9.332543-5 5.223699+6 9.500000-5 4.949957+6 9.549926-5 4.867617+6 9.800000-5 4.481301+6 1.000000-4 4.185703+6 1.011579-4 4.026607+6 1.035142-4 3.711676+6 1.040000-4 3.650778+6 1.047129-4 3.559506+6 1.060000-4 3.402175+6 1.071519-4 3.268941+6 1.094700-4 3.010352+6 1.094700-4 4.180029+6 1.096478-4 4.206644+6 1.098000-4 4.228469+6 1.100000-4 4.255672+6 1.107000-4 4.363407+6 1.113000-4 4.465869+6 1.118500-4 4.566351+6 1.122018-4 4.630923+6 1.124000-4 4.669780+6 1.129500-4 4.773796+6 1.135011-4 4.876550+6 1.141000-4 4.981023+6 1.146000-4 5.062650+6 1.150000-4 5.120837+6 1.152000-4 5.151384+6 1.157700-4 5.224624+6 1.161449-4 5.264586+6 1.163000-4 5.281765+6 1.169000-4 5.332622+6 1.170000-4 5.338335+6 1.174898-4 5.366600+6 1.175000-4 5.367195+6 1.182500-4 5.387477+6 1.184800-4 5.386392+6 1.184800-4 6.115452+6 1.186000-4 6.132344+6 1.190000-4 6.182083+6 1.192000-4 6.201949+6 1.198000-4 6.270497+6 1.204000-4 6.333736+6 1.205000-4 6.343205+6 1.208500-4 6.375349+6 1.211000-4 6.400177+6 1.212000-4 6.408570+6 1.218000-4 6.458659+6 1.219000-4 6.466591+6 1.225000-4 6.506925+6 1.230269-4 6.541334+6 1.235000-4 6.561298+6 1.240000-4 6.579786+6 1.242800-4 6.587228+6 1.244515-4 6.589655+6 1.245000-4 6.590385+6 1.252000-4 6.590418+6 1.257000-4 6.584314+6 1.258925-4 6.579440+6 1.262000-4 6.568759+6 1.267000-4 6.545057+6 1.273503-4 6.505397+6 1.278000-4 6.470354+6 1.280000-4 6.453676+6 1.287000-4 6.383535+6 1.295000-4 6.292417+6 1.303167-4 6.188775+6 1.310000-4 6.091848+6 1.318257-4 5.968025+6 1.320000-4 5.942269+6 1.330000-4 5.786345+6 1.333521-4 5.729177+6 1.345000-4 5.547081+6 1.348963-4 5.482432+6 1.350000-4 5.465680+6 1.364583-4 5.232737+6 1.365000-4 5.226011+6 1.380384-4 4.984293+6 1.390000-4 4.839929+6 1.400000-4 4.691943+6 1.412538-4 4.510690+6 1.415000-4 4.476181+6 1.421100-4 4.391771+6 1.421350-4 4.388355+6 1.428894-4 4.286882+6 1.430000-4 4.272024+6 1.450000-4 4.013216+6 1.465000-4 3.828009+6 1.479108-4 3.662890+6 1.480000-4 3.652761+6 1.500000-4 3.430236+6 1.513561-4 3.286079+6 1.531087-4 3.110427+6 1.548817-4 2.941112+6 1.560000-4 2.840003+6 1.566751-4 2.780305+6 1.580000-4 2.667762+6 1.590000-4 2.584951+6 1.610000-4 2.428438+6 1.621810-4 2.341467+6 1.635000-4 2.248723+6 1.640590-4 2.210317+6 1.650000-4 2.147390+6 1.670000-4 2.020779+6 1.678804-4 1.967969+6 1.680000-4 1.960939+6 1.698244-4 1.857402+6 1.705000-4 1.820899+6 1.717908-4 1.753370+6 1.720000-4 1.742737+6 1.737801-4 1.656475+6 1.740000-4 1.646215+6 1.757924-4 1.565243+6 1.770000-4 1.513662+6 1.778279-4 1.479534+6 1.798871-4 1.398832+6 1.800000-4 1.394581+6 1.819701-4 1.323943+6 1.820000-4 1.322909+6 1.840772-4 1.253590+6 1.862087-4 1.187378+6 1.880000-4 1.135881+6 1.883649-4 1.125933+6 1.890000-4 1.108935+6 1.915000-4 1.045436+6 1.927525-4 1.015552+6 1.940000-4 9.869430+5 1.949845-4 9.651902+5 1.950000-4 9.648530+5 1.953400-4 9.576387+5 1.957000-4 9.500936+5 1.973000-4 9.176037+5 1.980000-4 9.039052+5 1.990000-4 8.850671+5 2.000000-4 8.668211+5 2.007000-4 8.543858+5 2.018366-4 8.347759+5 2.020000-4 8.320718+5 2.023000-4 8.271518+5 2.035000-4 8.079284+5 2.040000-4 8.001258+5 2.050000-4 7.848678+5 2.055000-4 7.774180+5 2.065380-4 7.622971+5 2.070000-4 7.557327+5 2.080000-4 7.418264+5 2.085000-4 7.353179+5 2.095000-4 7.225767+5 2.100000-4 7.163461+5 2.107000-4 7.077774+5 2.115000-4 6.981990+5 2.123000-4 6.888323+5 2.125600-4 6.858409+5 2.125600-4 1.048681+6 2.128000-4 1.045315+6 2.137962-4 1.031563+6 2.140000-4 1.028856+6 2.142000-4 1.026221+6 2.155000-4 1.009408+6 2.158000-4 1.005603+6 2.168100-4 9.930129+5 2.170000-4 9.907136+5 2.173000-4 9.871125+5 2.185000-4 9.729732+5 2.190000-4 9.671991+5 2.198000-4 9.583500+5 2.213095-4 9.420782+5 2.230900-4 9.236429+5 2.238721-4 9.157766+5 2.240000-4 9.145036+5 2.250000-4 9.051584+5 2.265000-4 8.915218+5 2.270000-4 8.870776+5 2.290868-4 8.690491+5 2.300000-4 8.616621+5 2.317395-4 8.482537+5 2.345100-4 8.278676+5 2.350000-4 8.245038+5 2.371374-4 8.103303+5 2.398833-4 7.929536+5 2.400000-4 7.922354+5 2.420000-4 7.809571+5 2.426610-4 7.773062+5 2.454709-4 7.622694+5 2.460000-4 7.598172+5 2.483133-4 7.493092+5 2.500000-4 7.418970+5 2.511886-4 7.368202+5 2.540973-4 7.257531+5 2.550000-4 7.224179+5 2.570396-4 7.150131+5 2.580000-4 7.119305+5 2.600160-4 7.055973+5 2.630268-4 6.969221+5 2.635000-4 6.956610+5 2.637900-4 6.948842+5 2.650000-4 6.918938+5 2.660725-4 6.892486+5 2.691535-4 6.819229+5 2.703130-4 6.793640+5 2.710000-4 6.778422+5 2.729500-4 6.739031+5 2.729500-4 8.137313+5 2.750000-4 8.072194+5 2.754229-4 8.058886+5 2.786121-4 7.963272+5 2.800000-4 7.924891+5 2.818383-4 7.874736+5 2.830000-4 7.844265+5 2.851018-4 7.787558+5 2.860000-4 7.763557+5 2.880000-4 7.708476+5 2.884032-4 7.698035+5 2.900000-4 7.657866+5 2.917427-4 7.612680+5 2.951209-4 7.530304+5 2.970000-4 7.487071+5 2.985383-4 7.451893+5 3.019952-4 7.377760+5 3.030000-4 7.356612+5 3.054921-4 7.307197+5 3.090295-4 7.239169+5 3.100000-4 7.222457+5 3.126079-4 7.182213+5 3.162278-4 7.127839+5 3.198895-4 7.074390+5 3.200000-4 7.072789+5 3.235937-4 7.024250+5 3.273407-4 6.974744+5 3.280000-4 6.966108+5 3.311311-4 6.927396+5 3.320000-4 6.916598+5 3.328000-4 6.907145+5 3.349654-4 6.882750+5 3.350000-4 6.882356+5 3.362500-4 6.868301+5 3.362500-4 7.363086+5 3.370000-4 7.353928+5 3.388442-4 7.332495+5 3.429800-4 7.284620+5 3.430000-4 7.284391+5 3.467369-4 7.243717+5 3.507519-4 7.200528+5 3.548134-4 7.157707+5 3.550000-4 7.155711+5 3.589219-4 7.114728+5 3.600000-4 7.103433+5 3.672823-4 7.033202+5 3.715352-4 6.992600+5 3.801894-4 6.911906+5 3.845918-4 6.872381+5 3.935501-4 6.790522+5 3.981072-4 6.750777+5 4.000000-4 6.734378+5 4.027170-4 6.711155+5 4.073803-4 6.672252+5 4.100000-4 6.650907+5 4.120975-4 6.634502+5 4.137700-4 6.620571+5 4.146000-4 6.613544+5 4.146000-4 7.434728+5 4.168694-4 7.412179+5 4.170000-4 7.410890+5 4.195000-4 7.391953+5 4.216965-4 7.379850+5 4.255000-4 7.359446+5 4.265795-4 7.355477+5 4.267500-4 7.354810+5 4.267500-4 7.910195+5 4.270000-4 7.914820+5 4.277000-4 7.921543+5 4.280000-4 7.923050+5 4.290000-4 7.930790+5 4.300000-4 7.936115+5 4.307000-4 7.942336+5 4.315191-4 7.948409+5 4.317000-4 7.949769+5 4.330000-4 7.964788+5 4.332000-4 7.966814+5 4.344000-4 7.983797+5 4.355000-4 8.003814+5 4.365158-4 8.027281+5 4.370000-4 8.038280+5 4.385000-4 8.081470+5 4.400000-4 8.135394+5 4.415704-4 8.207060+5 4.422000-4 8.240285+5 4.430000-4 8.286076+5 4.440000-4 8.350946+5 4.445000-4 8.385861+5 4.450000-4 8.424351+5 4.465000-4 8.549967+5 4.466836-4 8.567636+5 4.480000-4 8.699682+5 4.485000-4 8.754193+5 4.495000-4 8.873075+5 4.508000-4 9.042811+5 4.515400-4 9.147815+5 4.523000-4 9.262430+5 4.535000-4 9.458271+5 4.550000-4 9.728292+5 4.565000-4 1.002873+6 4.570882-4 1.015626+6 4.585000-4 1.047131+6 4.600000-4 1.084186+6 4.607000-4 1.101952+6 4.623810-4 1.148199+6 4.630000-4 1.165756+6 4.640000-4 1.195650+6 4.665000-4 1.274822+6 4.677351-4 1.316002+6 4.690000-4 1.360864+6 4.700000-4 1.396414+6 4.715000-4 1.453024+6 4.731513-4 1.516328+6 4.740000-4 1.550726+6 4.765000-4 1.653202+6 4.786301-4 1.743441+6 4.790000-4 1.759887+6 4.815000-4 1.869927+6 4.841724-4 1.990719+6 4.850000-4 2.027714+6 4.865000-4 2.097314+6 4.871500-4 2.127760+6 4.890000-4 2.213631+6 4.897788-4 2.250105+6 4.900000-4 2.260605+6 4.923700-4 2.371716+6 4.930000-4 2.401467+6 4.954502-4 2.515237+6 4.965000-4 2.564309+6 4.990000-4 2.678704+6 5.000000-4 2.724567+6 5.011872-4 2.777073+6 5.020000-4 2.813741+6 5.030000-4 2.857953+6 5.050000-4 2.944219+6 5.060000-4 2.986810+6 5.080000-4 3.068937+6 5.100000-4 3.150200+6 5.110000-4 3.189232+6 5.128614-4 3.260373+6 5.135000-4 3.285201+6 5.150000-4 3.337774+6 5.170000-4 3.409381+6 5.188000-4 3.472077+6 5.200000-4 3.511469+6 5.230000-4 3.606246+6 5.245000-4 3.651384+6 5.248075-4 3.660153+6 5.280000-4 3.752470+6 5.308844-4 3.827755+6 5.320000-4 3.857277+6 5.370318-4 3.974719+6 5.380000-4 3.996385+6 5.400000-4 4.036637+6 5.432503-4 4.098774+6 5.450000-4 4.132571+6 5.495409-4 4.205505+6 5.500000-4 4.212936+6 5.559043-4 4.289044+6 5.560000-4 4.290288+6 5.580000-4 4.313415+6 5.623413-4 4.356056+6 5.650000-4 4.378440+6 5.688529-4 4.404678+6 5.690000-4 4.405681+6 5.754399-4 4.442102+6 5.760000-4 4.445268+6 5.850000-4 4.473651+6 5.888437-4 4.478083+6 5.956621-4 4.485826+6 6.025596-4 4.480304+6 6.050000-4 4.478314+6 6.095369-4 4.471265+6 6.165950-4 4.453074+6 6.237348-4 4.429553+6 6.309573-4 4.399889+6 6.313200-4 4.398407+6 6.382635-4 4.365421+6 6.430000-4 4.343237+6 6.456542-4 4.328753+6 6.500000-4 4.305179+6 6.531306-4 4.286573+6 6.606934-4 4.242294+6 6.683439-4 4.198476+6 6.700000-4 4.188018+6 6.760830-4 4.147215+6 6.839116-4 4.095626+6 6.918310-4 4.044649+6 6.930000-4 4.037204+6 7.079458-4 3.931759+6 7.161434-4 3.876018+6 7.244360-4 3.818668+6 7.300000-4 3.778511+6 7.413102-4 3.698925+6 7.500000-4 3.637253+6 7.585776-4 3.578060+6 7.672900-4 3.516662+6 7.672900-4 3.857233+6 7.673615-4 3.856767+6 7.762471-4 3.799648+6 7.852356-4 3.741545+6 7.943282-4 3.684433+6 7.950000-4 3.680284+6 8.000000-4 3.648831+6 8.035261-4 3.625798+6 8.128305-4 3.566311+6 8.129400-4 3.565601+6 8.129400-4 3.749811+6 8.222426-4 3.694950+6 8.237000-4 3.686525+6 8.317638-4 3.640018+6 8.350000-4 3.621730+6 8.480000-4 3.548609+6 8.500000-4 3.537404+6 8.511380-4 3.530797+6 8.609938-4 3.472974+6 8.709636-4 3.414966+6 8.750000-4 3.392040+6 8.810489-4 3.357809+6 8.912509-4 3.300721+6 9.000000-4 3.252604+6 9.015711-4 3.243611+6 9.120108-4 3.185021+6 9.225714-4 3.126861+6 9.332543-4 3.069870+6 9.440609-4 3.012804+6 9.549926-4 2.956951+6 9.772372-4 2.843999+6 9.850000-4 2.806122+6 9.885531-4 2.788908+6 1.000000-3 2.734666+6 1.011579-3 2.680114+6 1.015000-3 2.664334+6 1.023293-3 2.625870+6 1.030000-3 2.595441+6 1.035142-3 2.572375+6 1.059254-3 2.467847+6 1.070000-3 2.423546+6 1.070800-3 2.420238+6 1.070800-3 2.573798+6 1.071519-3 2.570724+6 1.083927-3 2.518674+6 1.090000-3 2.493302+6 1.096478-3 2.466477+6 1.109175-3 2.415252+6 1.122018-3 2.365253+6 1.135011-3 2.316440+6 1.148154-3 2.268479+6 1.161449-3 2.221652+6 1.174898-3 2.174859+6 1.190000-3 2.123556+6 1.202264-3 2.083098+6 1.216186-3 2.038455+6 1.230269-3 1.994895+6 1.244515-3 1.951256+6 1.270000-3 1.876035+6 1.273503-3 1.866009+6 1.288250-3 1.824743+6 1.300000-3 1.792931+6 1.303167-3 1.784507+6 1.318257-3 1.744872+6 1.319500-3 1.741633+6 1.319500-3 1.763915+6 1.333521-3 1.728037+6 1.348963-3 1.689328+6 1.350000-3 1.686780+6 1.380384-3 1.614396+6 1.412538-3 1.542593+6 1.428894-3 1.507975+6 1.440000-3 1.484755+6 1.445440-3 1.473578+6 1.462177-3 1.440030+6 1.478900-3 1.407437+6 1.478900-3 1.433351+6 1.479108-3 1.432950+6 1.513561-3 1.368301+6 1.548817-3 1.306615+6 1.566751-3 1.276602+6 1.570000-3 1.271280+6 1.584893-3 1.246911+6 1.610000-3 1.207394+6 1.621810-3 1.189391+6 1.640590-3 1.161606+6 1.650000-3 1.148073+6 1.659587-3 1.134543+6 1.698244-3 1.082521+6 1.701200-3 1.078665+6 1.717908-3 1.057107+6 1.730000-3 1.041823+6 1.737801-3 1.032116+6 1.778279-3 9.836653+5 1.800000-3 9.591481+5 1.819701-3 9.374935+5 1.850000-3 9.056789+5 1.862087-3 8.933542+5 1.883649-3 8.718594+5 1.905461-3 8.507585+5 1.927525-3 8.301930+5 1.949845-3 8.100239+5 1.950000-3 8.098865+5 1.972423-3 7.903221+5 2.000000-3 7.671225+5 2.018366-3 7.522588+5 2.030000-3 7.430769+5 2.041738-3 7.339790+5 2.065380-3 7.160473+5 2.070000-3 7.126234+5 2.089296-3 6.984876+5 2.137962-3 6.647197+5 2.150000-3 6.566980+5 2.162719-3 6.483468+5 2.187762-3 6.323561+5 2.213095-3 6.167777+5 2.220000-3 6.126352+5 2.238721-3 6.015424+5 2.264644-3 5.866859+5 2.290868-3 5.722331+5 2.300000-3 5.672960+5 2.317395-3 5.579775+5 2.344229-3 5.440611+5 2.400000-3 5.166392+5 2.426610-3 5.042868+5 2.454709-3 4.917258+5 2.483133-3 4.794607+5 2.500000-3 4.723591+5 2.511886-3 4.674216+5 2.540973-3 4.555555+5 2.570396-3 4.440042+5 2.600160-3 4.327311+5 2.630268-3 4.217704+5 2.660725-3 4.111107+5 2.691535-3 4.007455+5 2.722701-3 3.906348+5 2.754229-3 3.806710+5 2.786121-3 3.708976+5 2.818383-3 3.613905+5 2.851018-3 3.521299+5 2.884032-3 3.431194+5 2.900000-3 3.388880+5 2.951209-3 3.258265+5 3.000000-3 3.139963+5 3.019952-3 3.093164+5 3.054921-3 3.013238+5 3.090295-3 2.935269+5 3.126079-3 2.859493+5 3.140000-3 2.830766+5 3.150000-3 2.810373+5 3.162278-3 2.785538+5 3.235937-3 2.643206+5 3.273407-3 2.574981+5 3.311311-3 2.507803+5 3.349654-3 2.442515+5 3.388442-3 2.378835+5 3.427678-3 2.316657+5 3.467369-3 2.256140+5 3.500000-3 2.208108+5 3.507519-3 2.197228+5 3.548134-3 2.139785+5 3.589219-3 2.083545+5 3.630781-3 2.028889+5 3.668100-3 1.981363+5 3.668100-3 4.736263+5 3.672823-3 4.722129+5 3.693000-3 4.662345+5 3.713000-3 4.604179+5 3.715352-3 4.597850+5 3.758374-3 4.484314+5 3.780000-3 4.428731+5 3.790000-3 4.406586+5 3.801894-3 4.369793+5 3.845918-3 4.237227+5 3.859200-3 4.198324+5 3.859200-3 5.941724+5 3.870000-3 5.899986+5 3.890451-3 5.825294+5 3.935501-3 5.665445+5 3.970000-3 5.546849+5 4.000000-3 5.445057+5 4.027170-3 5.355051+5 4.073803-3 5.198905+5 4.120975-3 5.047424+5 4.150000-3 4.957208+5 4.168694-3 4.900273+5 4.230000-3 4.719789+5 4.265795-3 4.619168+5 4.300000-3 4.525797+5 4.315191-3 4.485092+5 4.365158-3 4.352891+5 4.415704-3 4.224482+5 4.421600-3 4.209846+5 4.421600-3 4.912680+5 4.466836-3 4.791464+5 4.500000-3 4.705335+5 4.518559-3 4.658109+5 4.540000-3 4.604355+5 4.570882-3 4.528080+5 4.623810-3 4.400172+5 4.650000-3 4.338801+5 4.677351-3 4.275982+5 4.731513-3 4.154074+5 4.786301-3 4.035686+5 4.800000-3 4.006802+5 4.841724-3 3.920481+5 4.954502-3 3.700140+5 5.069907-3 3.491260+5 5.128614-3 3.391365+5 5.188000-3 3.294440+5 5.248075-3 3.199890+5 5.308844-3 3.107951+5 5.365500-3 3.025435+5 5.365500-3 3.212613+5 5.370318-3 3.205569+5 5.405000-3 3.155174+5 5.432503-3 3.116032+5 5.495409-3 3.029146+5 5.623413-3 2.863022+5 5.688529-3 2.783233+5 5.712200-3 2.754778+5 5.712200-3 2.871389+5 5.754399-3 2.820534+5 5.821032-3 2.742909+5 5.888437-3 2.666985+5 5.890000-3 2.665258+5 5.956621-3 2.593395+5 6.000000-3 2.547817+5 6.025596-3 2.521465+5 6.095369-3 2.451505+5 6.165950-3 2.383486+5 6.237348-3 2.317480+5 6.309573-3 2.253416+5 6.456542-3 2.130171+5 6.500000-3 2.095620+5 6.531306-3 2.071174+5 6.606934-3 2.013464+5 6.683439-3 1.957017+5 6.760830-3 1.902260+5 6.800000-3 1.875385+5 6.918310-3 1.797133+5 6.928200-3 1.790820+5 6.998420-3 1.746906+5 7.161434-3 1.650890+5 7.244360-3 1.604695+5 7.328245-3 1.559827+5 7.413102-3 1.515610+5 7.498942-3 1.472666+5 7.500000-3 1.472148+5 7.585776-3 1.430895+5 7.673615-3 1.390371+5 7.762471-3 1.351058+5 7.852356-3 1.312929+5 7.943282-3 1.275571+5 8.000000-3 1.253020+5 8.035261-3 1.239244+5 8.128305-3 1.203901+5 8.222426-3 1.169564+5 8.317638-3 1.136181+5 8.413951-3 1.103778+5 8.511380-3 1.072308+5 8.609938-3 1.041783+5 8.709636-3 1.012238+5 8.912509-3 9.557874+4 9.000000-3 9.328016+4 9.015711-3 9.287593+4 9.120108-3 9.024766+4 9.225714-3 8.769859+4 9.332543-3 8.520498+4 9.400000-3 8.366793+4 9.440609-3 8.275807+4 9.549926-3 8.037910+4 9.660509-3 7.806019+4 9.800000-3 7.526676+4 9.885531-3 7.362517+4 1.000000-2 7.150727+4 1.011579-2 6.944180+4 1.023293-2 6.743759+4 1.047129-2 6.360622+4 1.059254-2 6.177637+4 1.071519-2 5.999311+4 1.083927-2 5.826419+4 1.096478-2 5.658797+4 1.109175-2 5.496189+4 1.122018-2 5.337562+4 1.148154-2 5.034389+4 1.161449-2 4.889707+4 1.174898-2 4.749264+4 1.188502-2 4.612052+4 1.190000-2 4.597224+4 1.202264-2 4.477931+4 1.216186-2 4.347764+4 1.230269-2 4.221061+4 1.244515-2 4.097873+4 1.258925-2 3.978372+4 1.261910-2 3.954239+4 1.273503-2 3.862489+4 1.288250-2 3.750019+4 1.300000-2 3.663759+4 1.318257-2 3.534824+4 1.333521-2 3.431897+4 1.364583-2 3.235420+4 1.380384-2 3.141472+4 1.396368-2 3.050009+4 1.400000-2 3.029758+4 1.412538-2 2.960989+4 1.445440-2 2.790847+4 1.462177-2 2.709649+4 1.479108-2 2.630566+4 1.496236-2 2.553410+4 1.500000-2 2.536892+4 1.513561-2 2.478590+4 1.531087-2 2.405796+4 1.548817-2 2.335246+4 1.566751-2 2.266586+4 1.584893-2 2.200039+4 1.603245-2 2.135345+4 1.621810-2 2.072644+4 1.659587-2 1.952973+4 1.678804-2 1.895871+4 1.698244-2 1.840160+4 1.717908-2 1.786017+4 1.737801-2 1.733545+4 1.757924-2 1.682665+4 1.762600-2 1.671053+4 1.762600-2 3.953878+4 1.790000-2 3.808330+4 1.798871-2 3.758882+4 1.819701-2 3.646244+4 1.840772-2 3.536971+4 1.862087-2 3.431033+4 1.865000-2 3.416900+4 1.883649-2 3.326364+4 1.905461-2 3.224419+4 1.927525-2 3.125555+4 1.949845-2 3.030785+4 1.972423-2 2.938927+4 1.995262-2 2.849904+4 2.000000-2 2.831908+4 2.018366-2 2.763586+4 2.041738-2 2.678335+4 2.089296-2 2.515435+4 2.113489-2 2.437802+4 2.137962-2 2.362610+4 2.162719-2 2.289762+4 2.170200-2 2.268312+4 2.170200-2 3.213840+4 2.187762-2 3.149569+4 2.200000-2 3.105837+4 2.213095-2 3.058144+4 2.238721-2 2.967558+4 2.244000-2 2.949364+4 2.244000-2 3.405702+4 2.264644-2 3.326919+4 2.265000-2 3.325582+4 2.275000-2 3.289358+4 2.290868-2 3.232186+4 2.317395-2 3.139734+4 2.344229-2 3.050008+4 2.371374-2 2.963439+4 2.380000-2 2.936881+4 2.398833-2 2.879256+4 2.426610-2 2.797151+4 2.450000-2 2.730580+4 2.454709-2 2.717597+4 2.483133-2 2.639998+4 2.511886-2 2.563962+4 2.540973-2 2.490175+4 2.570396-2 2.418491+4 2.600160-2 2.348166+4 2.630268-2 2.279928+4 2.691535-2 2.149500+4 2.722701-2 2.087189+4 2.754229-2 2.026853+4 2.786121-2 1.967958+4 2.818383-2 1.910825+4 2.851018-2 1.855326+4 2.884032-2 1.801431+4 2.900000-2 1.776157+4 2.951209-2 1.698399+4 3.000000-2 1.628680+4 3.019952-2 1.601333+4 3.054921-2 1.554612+4 3.070000-2 1.535055+4 3.162278-2 1.422172+4 3.198895-2 1.380622+4 3.235937-2 1.340269+4 3.273407-2 1.301116+4 3.311311-2 1.263086+4 3.349654-2 1.225759+4 3.388442-2 1.189356+4 3.427678-2 1.154065+4 3.467369-2 1.119850+4 3.507519-2 1.086670+4 3.548134-2 1.054498+4 3.589219-2 1.023277+4 3.630781-2 9.928747+3 3.672823-2 9.633898+3 3.758374-2 9.070176+3 3.801894-2 8.801119+3 3.845918-2 8.539832+3 3.890451-2 8.286471+3 4.000000-2 7.706586+3 4.027170-2 7.571618+3 4.073803-2 7.347564+3 4.120975-2 7.130311+3 4.168694-2 6.918253+3 4.216965-2 6.711433+3 4.265795-2 6.510547+3 4.315191-2 6.315817+3 4.365158-2 6.127074+3 4.415704-2 5.944041+3 4.466836-2 5.765169+3 4.518559-2 5.591800+3 4.570882-2 5.423756+3 4.677351-2 5.102962+3 4.731513-2 4.949911+3 4.786301-2 4.801526+3 4.841724-2 4.657661+3 4.897788-2 4.518209+3 4.954502-2 4.382896+3 5.000000-2 4.278420+3 5.011872-2 4.251733+3 5.069907-2 4.124453+3 5.128614-2 4.001042+3 5.188000-2 3.880439+3 5.248075-2 3.762940+3 5.370318-2 3.538754+3 5.432503-2 3.431827+3 5.495409-2 3.328201+3 5.500000-2 3.320809+3 5.559043-2 3.227745+3 5.623413-2 3.130393+3 5.688529-2 3.036041+3 5.754399-2 2.943940+3 5.821032-2 2.854692+3 5.888437-2 2.768206+3 5.956621-2 2.684317+3 6.025596-2 2.603002+3 6.095369-2 2.524200+3 6.165950-2 2.447762+3 6.382635-2 2.232331+3 6.456542-2 2.164698+3 6.531306-2 2.098914+3 6.760830-2 1.913527+3 6.839116-2 1.855472+3 6.918310-2 1.798831+3 7.000000-2 1.742839+3 7.079458-2 1.690672+3 7.244360-2 1.589113+3 7.328245-2 1.540685+3 7.413102-2 1.493725+3 7.498942-2 1.448224+3 7.585776-2 1.404136+3 7.852356-2 1.279907+3 8.000000-2 1.217608+3 8.128305-2 1.166739+3 8.222426-2 1.131174+3 8.317638-2 1.096496+3 8.413951-2 1.062862+3 8.511380-2 1.030277+3 8.810489-2 9.384778+2 8.912509-2 9.097646+2 9.015711-2 8.819449+2 9.120108-2 8.549735+2 9.660509-2 7.321896+2 9.772372-2 7.098694+2 9.885531-2 6.882414+2 1.000000-1 6.671610+2 1.011580-1 6.467231+2 1.059254-1 5.710468+2 1.083927-1 5.366415+2 1.109175-1 5.043092+2 1.122019-1 4.888920+2 1.174898-1 4.318424+2 1.188502-1 4.186691+2 1.192000-1 4.153721+2 1.192000-1 1.745056+3 1.202264-1 1.708807+3 1.216186-1 1.661257+3 1.218000-1 1.655200+3 1.225000-1 1.628258+3 1.230269-1 1.611668+3 1.244515-1 1.568005+3 1.250000-1 1.551644+3 1.258925-1 1.523020+3 1.273503-1 1.477815+3 1.288250-1 1.433946+3 1.318257-1 1.355154+3 1.333521-1 1.317410+3 1.348963-1 1.279091+3 1.364583-1 1.241894+3 1.380384-1 1.205783+3 1.396368-1 1.170727+3 1.445440-1 1.071577+3 1.462177-1 1.040439+3 1.496236-1 9.808595+2 1.513561-1 9.523404+2 1.548817-1 8.977733+2 1.584893-1 8.463464+2 1.603245-1 8.217524+2 1.610000-1 8.129542+2 1.659587-1 7.522094+2 1.698244-1 7.091594+2 1.717908-1 6.885825+2 1.778279-1 6.303746+2 1.798871-1 6.120900+2 1.819701-1 5.943381+2 1.840772-1 5.771028+2 1.905461-1 5.283473+2 1.927525-1 5.130331+2 1.949845-1 4.981640+2 1.972423-1 4.837276+2 2.000000-1 4.668747+2 2.018366-1 4.561074+2 2.041738-1 4.429002+2 2.065380-1 4.300784+2 2.113489-1 4.055411+2 2.137962-1 3.938042+2 2.162719-1 3.824157+2 2.187762-1 3.713577+2 2.213095-1 3.606203+2 2.238721-1 3.501944+2 2.290868-1 3.302399+2 2.344229-1 3.114256+2 2.371374-1 3.024264+2 2.398833-1 2.936880+2 2.400000-1 2.933245+2 2.426610-1 2.852079+2 2.483133-1 2.689771+2 2.511886-1 2.612127+2 2.540973-1 2.536725+2 2.570396-1 2.463519+2 2.576800-1 2.447989+2 2.600160-1 2.393092+2 2.630268-1 2.324869+2 2.660725-1 2.258596+2 2.691535-1 2.194215+2 2.722701-1 2.131676+2 2.754229-1 2.070994+2 2.786121-1 2.012053+2 2.800000-1 1.987136+2 2.818383-1 1.954812+2 2.851018-1 1.899216+2 2.917427-1 1.792730+2 2.951209-1 1.741754+2 3.000000-1 1.671649+2 3.000060-1 1.671565+2 3.019952-1 1.644118+2 3.054921-1 1.597414+2 3.090295-1 1.552048+2 3.126079-1 1.508588+2 3.162278-1 1.466349+2 3.198895-1 1.425296+2 3.235937-1 1.385435+2 3.273407-1 1.346696+2 3.311311-1 1.309041+2 3.349654-1 1.272442+2 3.388442-1 1.236867+2 3.427678-1 1.202342+2 3.467369-1 1.168783+2 3.507519-1 1.136163+2 3.548134-1 1.104483+2 3.589219-1 1.073688+2 3.630781-1 1.043758+2 3.672823-1 1.015133+2 3.715352-1 9.872991+1 3.758374-1 9.602294+1 3.801894-1 9.339035+1 3.845918-1 9.083015+1 3.890451-1 8.834128+1 4.027170-1 8.127784+1 4.073803-1 7.905773+1 4.120975-1 7.689961+1 4.168694-1 7.484042+1 4.216965-1 7.283691+1 4.265795-1 7.088717+1 4.315191-1 6.898977+1 4.365158-1 6.714327+1 4.415705-1 6.534624+1 4.466836-1 6.359743+1 4.518559-1 6.189550+1 4.570882-1 6.023990+1 4.677351-1 5.706605+1 4.731513-1 5.554266+1 4.786301-1 5.409090+1 4.841724-1 5.267721+1 4.897788-1 5.130056+1 4.954502-1 4.995993+1 5.011872-1 4.865441+1 5.069907-1 4.738304+1 5.128614-1 4.614570+1 5.188000-1 4.494074+1 5.248075-1 4.376926+1 5.308844-1 4.262840+1 5.370318-1 4.151743+1 5.432503-1 4.043583+1 5.495409-1 3.940235+1 5.559043-1 3.839755+1 5.623413-1 3.741843+1 5.754399-1 3.553557+1 5.821032-1 3.463015+1 5.888437-1 3.374874+1 5.956621-1 3.288983+1 6.025596-1 3.205281+1 6.095369-1 3.123775+1 6.165950-1 3.046071+1 6.237348-1 2.970304+1 6.309573-1 2.896466+1 6.382635-1 2.824633+1 6.456542-1 2.754585+1 6.531306-1 2.686285+1 6.606935-1 2.619763+1 6.683439-1 2.554893+1 6.760830-1 2.491630+1 6.839117-1 2.429955+1 6.918310-1 2.369809+1 6.998420-1 2.312348+1 7.079458-1 2.256325+1 7.161434-1 2.201662+1 7.244360-1 2.148331+1 7.328245-1 2.096420+1 7.413102-1 2.045819+1 7.498942-1 1.996441+1 7.585776-1 1.948256+1 7.673615-1 1.901249+1 7.762471-1 1.855377+1 7.852356-1 1.810640+1 7.943282-1 1.766982+1 8.000000-1 1.741075+1 8.035261-1 1.725260+1 8.128305-1 1.684537+1 8.222427-1 1.644785+1 8.317638-1 1.606011+1 8.413951-1 1.568153+1 8.511380-1 1.531283+1 8.609938-1 1.495284+1 8.709636-1 1.460159+1 8.810489-1 1.425866+1 8.912509-1 1.392380+1 9.015711-1 1.359681+1 9.120108-1 1.327750+1 9.225714-1 1.296592+1 9.332543-1 1.266174+1 9.440609-1 1.237187+1 9.549926-1 1.208932+1 9.660509-1 1.181410+1 9.772372-1 1.154516+1 9.885531-1 1.128236+1 1.000000+0 1.102560+1 1.011579+0 1.077494+1 1.022000+0 1.055667+1 1.023293+0 1.053009+1 1.035142+0 1.029128+1 1.047129+0 1.006161+1 1.059254+0 9.837126+0 1.071519+0 9.617702+0 1.083927+0 9.403329+0 1.096478+0 9.193749+0 1.109175+0 8.988829+0 1.122018+0 8.788504+0 1.135011+0 8.592900+0 1.148154+0 8.401727+0 1.161449+0 8.215402+0 1.174898+0 8.033209+0 1.188502+0 7.855067+0 1.202264+0 7.680871+0 1.216186+0 7.510537+0 1.230269+0 7.344095+0 1.244515+0 7.185600+0 1.250000+0 7.126046+0 1.258925+0 7.030822+0 1.273503+0 6.879479+0 1.288250+0 6.731396+0 1.303167+0 6.586964+0 1.318257+0 6.445634+0 1.333521+0 6.307343+0 1.348963+0 6.172010+0 1.364583+0 6.039589+0 1.380384+0 5.910097+0 1.396368+0 5.786533+0 1.412538+0 5.665693+0 1.428894+0 5.547426+0 1.462177+0 5.318249+0 1.496236+0 5.099276+0 1.513561+0 4.993200+0 1.531087+0 4.889327+0 1.548817+0 4.787688+0 1.566751+0 4.690839+0 1.640590+0 4.322652+0 1.659587+0 4.235513+0 1.678804+0 4.150226+0 1.698244+0 4.066654+0 1.737801+0 3.904530+0 1.757924+0 3.825972+0 1.778279+0 3.750946+0 1.798871+0 3.677389+0 1.840772+0 3.534580+0 1.862087+0 3.465269+0 1.883649+0 3.397317+0 1.905461+0 3.330910+0 1.927525+0 3.265875+0 1.949845+0 3.202109+0 2.000000+0 3.065814+0 2.018366+0 3.018198+0 2.044000+0 2.953757+0 2.065380+0 2.903051+0 2.089296+0 2.847966+0 2.113489+0 2.793926+0 2.137962+0 2.740912+0 2.162719+0 2.688919+0 2.187762+0 2.638158+0 2.213095+0 2.588355+0 2.264644+0 2.491555+0 2.290868+0 2.444526+0 2.317395+0 2.398449+0 2.344229+0 2.354511+0 2.371374+0 2.311379+0 2.398833+0 2.269039+0 2.426610+0 2.227474+0 2.454709+0 2.186683+0 2.483133+0 2.146827+0 2.511886+0 2.107698+0 2.570396+0 2.031566+0 2.600160+0 1.994543+0 2.630268+0 1.958243+0 2.660725+0 1.922604+0 2.691535+0 1.888575+0 2.722701+0 1.855150+0 2.754229+0 1.822316+0 2.786121+0 1.790064+0 2.818383+0 1.758392+0 2.851018+0 1.727421+0 2.884032+0 1.696994+0 2.951209+0 1.637742+0 3.000000+0 1.596817+0 3.054921+0 1.552782+0 3.090295+0 1.525468+0 3.126079+0 1.499300+0 3.198895+0 1.448305+0 3.235937+0 1.423462+0 3.273407+0 1.399045+0 3.311311+0 1.375055+0 3.349654+0 1.351583+0 3.427678+0 1.305835+0 3.467369+0 1.283548+0 3.548134+0 1.240166+0 3.589219+0 1.219028+0 3.630781+0 1.198805+0 3.715352+0 1.159362+0 3.758374+0 1.140130+0 3.801894+0 1.121218+0 3.845918+0 1.102624+0 3.890451+0 1.084423+0 4.000000+0 1.041748+0 4.027170+0 1.031604+0 4.120975+0 9.978773-1 4.168694+0 9.814300-1 4.216965+0 9.656867-1 4.315191+0 9.349550-1 4.365158+0 9.199583-1 4.415704+0 9.052020-1 4.466836+0 8.906864-1 4.518559+0 8.764680-1 4.677351+0 8.351604-1 4.731513+0 8.218301-1 4.841724+0 7.958382-1 4.897788+0 7.831525-1 4.954502+0 7.709865-1 5.069907+0 7.472199-1 5.128614+0 7.356128-1 5.248075+0 7.129369-1 5.308844+0 7.018658-1 5.370318+0 6.910148-1 5.559043+0 6.594585-1 5.623413+0 6.492649-1 5.754399+0 6.293732-1 5.821032+0 6.196571-1 5.888437+0 6.103387-1 6.025596+0 5.921212-1 6.095369+0 5.832176-1 6.237348+0 5.658099-1 6.309573+0 5.573042-1 6.382635+0 5.489639-1 6.606934+0 5.246851-1 6.683439+0 5.168342-1 6.839116+0 5.015024-1 6.918310+0 4.940079-1 7.000000+0 4.866741-1 7.161434+0 4.727398-1 7.244360+0 4.658561-1 7.413102+0 4.523880-1 7.498942+0 4.458023-1 7.585776+0 4.393193-1 7.673615+0 4.329504-1 7.943282+0 4.143927-1 8.035261+0 4.083860-1 8.317638+0 3.909034-1 8.413951+0 3.852439-1 8.511380+0 3.798024-1 8.810489+0 3.639358-1 8.912509+0 3.587957-1 9.015711+0 3.537281-1 9.120108+0 3.487336-1 9.225714+0 3.438152-1 9.332543+0 3.389819-1 9.549926+0 3.295185-1 9.660509+0 3.248869-1 1.000000+1 3.113948-1 1.011579+1 3.070233-1 1.023293+1 3.028068-1 1.035142+1 2.986492-1 1.083927+1 2.825822-1 1.109175+1 2.748759-1 1.122018+1 2.711021-1 1.135011+1 2.673807-1 1.148154+1 2.637144-1 1.161449+1 2.601098-1 1.188502+1 2.530479-1 1.202264+1 2.495897-1 1.230269+1 2.428222-1 1.244515+1 2.395077-1 1.258925+1 2.363136-1 1.273503+1 2.331624-1 1.318257+1 2.239592-1 1.333521+1 2.209731-1 1.380384+1 2.122512-1 1.400000+1 2.087878-1 1.428894+1 2.038747-1 1.445440+1 2.011595-1 1.462177+1 1.984880-1 1.500000+1 1.926878-1 1.513561+1 1.906846-1 1.548817+1 1.856591-1 1.566751+1 1.831963-1 1.584893+1 1.808207-1 1.603245+1 1.784762-1 1.678804+1 1.693987-1 1.698244+1 1.672024-1 1.737801+1 1.628950-1 1.757924+1 1.607830-1 1.800000+1 1.565305-1 1.819701+1 1.546175-1 1.840772+1 1.526197-1 1.905461+1 1.467799-1 1.927525+1 1.448836-1 2.018366+1 1.375471-1 2.065380+1 1.340193-1 2.089296+1 1.323215-1 2.113489+1 1.306455-1 2.213095+1 1.241512-1 2.238721+1 1.225787-1 2.264644+1 1.210262-1 2.317395+1 1.179798-1 2.344229+1 1.164855-1 2.400000+1 1.134930-1 2.426610+1 1.121215-1 2.454709+1 1.107072-1 2.511886+1 1.079320-1 2.540973+1 1.065721-1 2.570396+1 1.052293-1 2.600160+1 1.039035-1 2.630268+1 1.026167-1 2.818383+1 9.522521-2 2.917427+1 9.173160-2 3.019952+1 8.836615-2 3.054921+1 8.727202-2 3.198895+1 8.302925-2 3.235937+1 8.200117-2 3.349654+1 7.899328-2 3.388442+1 7.801738-2 3.427678+1 7.705432-2 3.507519+1 7.516370-2 3.548134+1 7.423669-2 3.589219+1 7.332116-2 3.630781+1 7.243187-2 3.672823+1 7.155350-2 3.935501+1 6.650265-2 4.000000+1 6.536681-2 4.120975+1 6.333510-2 4.265795+1 6.105885-2 4.315191+1 6.031843-2 4.518559+1 5.744545-2 4.570882+1 5.674884-2 4.786301+1 5.404632-2 4.841724+1 5.339230-2 4.897788+1 5.274665-2 5.011872+1 5.147869-2 5.069907+1 5.085668-2 5.128614+1 5.024220-2 5.188000+1 4.963515-2 5.248075+1 4.904416-2 5.308844+1 4.846029-2 5.754399+1 4.456332-2 5.888437+1 4.350859-2 6.095369+1 4.197314-2 6.382635+1 4.000983-2 6.456542+1 3.953353-2 6.918310+1 3.679243-2 6.998420+1 3.635442-2 7.498942+1 3.383409-2 7.585776+1 3.343199-2 7.673615+1 3.303489-2 7.943282+1 3.187168-2 8.035261+1 3.149337-2 8.128305+1 3.111955-2 8.222427+1 3.075017-2 8.317638+1 3.038955-2 8.413951+1 3.003319-2 8.511380+1 2.968100-2 9.332543+1 2.700825-2 9.549926+1 2.637855-2 9.885531+1 2.546143-2 1.000000+2 2.516286-2 1.059254+2 2.372172-2 1.083927+2 2.316866-2 1.188502+2 2.108236-2 1.202264+2 2.083515-2 1.333521+2 1.873686-2 1.348963+2 1.851741-2 1.380384+2 1.808641-2 1.428894+2 1.745864-2 1.445440+2 1.725430-2 1.462177+2 1.705242-2 1.479108+2 1.685290-2 1.531087+2 1.626824-2 1.548817+2 1.607964-2 1.566751+2 1.589326-2 1.584893+2 1.570904-2 1.778279+2 1.398026-2 1.840772+2 1.349972-2 1.905461+2 1.303571-2 1.927525+2 1.288461-2 2.065380+2 1.201409-2 2.113489+2 1.173719-2 2.317395+2 1.069194-2 2.344229+2 1.056802-2 2.570396+2 9.626965-3 2.600160+2 9.515464-3 2.630268+2 9.405285-3 2.660725+2 9.296382-3 2.786121+2 8.873236-3 2.818383+2 8.770507-3 2.851018+2 8.668983-3 2.884032+2 8.568633-3 2.917427+2 8.469447-3 3.054921+2 8.084050-3 3.090295+2 7.990906-3 3.126079+2 7.898837-3 3.162278+2 7.807828-3 3.548134+2 6.953484-3 3.672823+2 6.715899-3 3.801894+2 6.486431-3 3.845918+2 6.411698-3 4.120975+2 5.981036-3 4.216965+2 5.844009-3 4.623810+2 5.326583-3 4.677351+2 5.265216-3 5.128614+2 4.799054-3 5.188000+2 4.743793-3 5.248075+2 4.689177-3 5.308844+2 4.635191-3 5.559043+2 4.425390-3 5.623413+2 4.374446-3 5.688529+2 4.324094-3 5.754399+2 4.274322-3 5.821032+2 4.225122-3 6.095369+2 4.033923-3 6.165950+2 3.987660-3 6.237348+2 3.941928-3 6.309573+2 3.896722-3 7.079458+2 3.472210-3 7.328245+2 3.354116-3 7.585776+2 3.240038-3 7.673615+2 3.202881-3 1.640590+3 1.495979-3 1.678804+3 1.461864-3 1.840772+3 1.333006-3 1.862087+3 1.317720-3 4.073803+3 6.014458-4 4.120975+3 5.945499-4 4.168694+3 5.877335-4 4.216965+3 5.809952-4 4.415704+3 5.548060-4 4.466836+3 5.484454-4 4.518559+3 5.421582-4 4.570882+3 5.359428-4 4.623810+3 5.297989-4 4.841724+3 5.059191-4 4.897788+3 5.001267-4 4.954502+3 4.944006-4 5.011872+3 4.887402-4 5.623413+3 4.355801-4 1.161449+4 2.108652-4 1.202264+4 2.037053-4 1.216186+4 2.013729-4 1.000000+5 2.448040-5 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 4.110000-6 4.110000-6 4.750000-6 4.110000-6 4.750000-6 4.306230-6 5.880000-6 4.331495-6 5.880000-6 5.082643-6 6.700000-6 4.924296-6 7.100000-6 4.861094-6 7.585776-6 4.796086-6 8.317638-6 4.718377-6 9.030000-6 4.661860-6 9.030000-6 4.794055-6 1.000000-5 4.751439-6 1.012000-5 4.748390-6 1.012000-5 4.855965-6 1.096478-5 4.855404-6 1.190000-5 4.883239-6 1.290000-5 4.947867-6 1.365000-5 5.019577-6 1.428894-5 5.097520-6 1.531087-5 5.254659-6 1.621810-5 5.426790-6 1.698244-5 5.594999-6 1.778279-5 5.790811-6 1.905461-5 6.134305-6 2.238721-5 7.096642-6 2.400000-5 7.516141-6 2.525000-5 7.800713-6 2.525000-5 2.003154-5 3.040000-5 1.716886-5 3.198895-5 1.635666-5 3.300000-5 1.587152-5 3.467369-5 1.513617-5 3.552000-5 1.479547-5 3.552000-5 2.137010-5 3.981072-5 1.939593-5 4.265795-5 1.818826-5 4.466836-5 1.740972-5 4.677351-5 1.666840-5 4.850000-5 1.610872-5 5.080000-5 1.545359-5 5.300000-5 1.490929-5 5.439000-5 1.461089-5 5.439000-5 1.556411-5 5.688529-5 1.498822-5 5.920000-5 1.454419-5 6.165950-5 1.415868-5 6.382635-5 1.388010-5 6.606934-5 1.364342-5 6.839116-5 1.344622-5 7.000000-5 1.332875-5 7.413102-5 1.310758-5 7.943282-5 1.293821-5 8.317638-5 1.287590-5 8.912509-5 1.286647-5 9.500000-5 1.294925-5 1.011579-4 1.312875-5 1.071519-4 1.339166-5 1.094700-4 1.351889-5 1.094700-4 4.036842-5 1.113000-4 4.896941-5 1.124000-4 5.388248-5 1.129500-4 5.616280-5 1.135011-4 5.830843-5 1.141000-4 6.049202-5 1.146000-4 6.217035-5 1.152000-4 6.400565-5 1.161449-4 6.649821-5 1.170000-4 6.838686-5 1.175000-4 6.935701-5 1.184800-4 7.094063-5 1.184800-4 7.660808-5 1.204000-4 8.037929-5 1.225000-4 8.392196-5 1.245000-4 8.664349-5 1.262000-4 8.843399-5 1.280000-4 8.981925-5 1.303167-4 9.102351-5 1.333521-4 9.194993-5 1.400000-4 9.309433-5 1.548817-4 9.482727-5 1.680000-4 9.571970-5 1.820000-4 9.603869-5 1.927525-4 9.565433-5 2.035000-4 9.453123-5 2.125600-4 9.297306-5 2.125600-4 1.047705-4 2.250000-4 1.036709-4 2.420000-4 1.012733-4 2.729500-4 9.631005-5 2.729500-4 1.126362-4 2.917427-4 1.086954-4 3.100000-4 1.047682-4 3.311311-4 1.012285-4 3.362500-4 1.005113-4 3.362500-4 1.078110-4 3.600000-4 1.052190-4 3.845918-4 1.033151-4 4.146000-4 1.017751-4 4.146000-4 1.118555-4 4.267500-4 1.118093-4 4.267500-4 1.176804-4 4.355000-4 1.191864-4 4.400000-4 1.206997-4 4.440000-4 1.228662-4 4.480000-4 1.259826-4 4.523000-4 1.303711-4 4.570882-4 1.362196-4 4.665000-4 1.484044-4 4.715000-4 1.542134-4 4.765000-4 1.592309-4 4.815000-4 1.634463-4 4.871500-4 1.673371-4 4.954502-4 1.716865-4 5.050000-4 1.751934-4 5.170000-4 1.780418-4 5.320000-4 1.802108-4 5.560000-4 1.820565-4 5.956621-4 1.832710-4 6.839116-4 1.838077-4 7.672900-4 1.836383-4 7.672900-4 1.955970-4 8.129400-4 1.970153-4 8.129400-4 2.031851-4 8.912509-4 2.068468-4 1.070800-3 2.126365-4 1.070800-3 2.240765-4 1.319500-3 2.323292-4 1.319500-3 2.353793-4 1.478900-3 2.405924-4 1.478900-3 2.453992-4 1.819701-3 2.559302-4 2.187762-3 2.652080-4 2.630268-3 2.743745-4 3.162278-3 2.832497-4 3.668100-3 2.901540-4 3.668100-3 4.224389-4 3.801894-3 4.233710-4 3.859200-3 4.231552-4 3.859200-3 4.498605-4 4.421600-3 4.499736-4 4.421600-3 4.840913-4 5.365500-3 4.891381-4 5.365500-3 5.065438-4 5.712200-3 5.097266-4 5.712200-3 5.245482-4 7.585776-3 5.433245-4 9.885531-3 5.614865-4 1.261910-2 5.781332-4 1.603245-2 5.940421-4 1.762600-2 6.001395-4 1.762600-2 7.223619-4 2.170200-2 7.266322-4 2.170200-2 7.692148-4 2.244000-2 7.701457-4 2.244000-2 8.239911-4 3.070000-2 8.433097-4 4.168694-2 8.615976-4 5.754399-2 8.804851-4 7.852356-2 8.975945-4 1.083927-1 9.140242-4 1.192000-1 9.186309-4 1.192000-1 8.436827-4 2.951209-1 8.489500-4 8.222427-1 8.516707-4 1.000000+5 8.518629-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.110000-6 0.0 2.125600-4 0.0 2.125600-4 2.271814-9 2.190000-4 2.354066-9 2.250000-4 2.414276-9 2.300000-4 2.452909-9 2.350000-4 2.481100-9 2.400000-4 2.497060-9 2.511886-4 2.505751-9 2.580000-4 2.495320-9 2.691535-4 2.464862-9 2.729500-4 2.449951-9 2.729500-4 4.647911-9 2.830000-4 4.498637-9 2.900000-4 4.369564-9 3.090295-4 3.972314-9 3.235937-4 3.713729-9 3.362500-4 3.510964-9 3.362500-4 3.902885-9 3.507519-4 3.716212-9 3.600000-4 3.608427-9 3.715352-4 3.486463-9 3.845918-4 3.362674-9 4.000000-4 3.238833-9 4.146000-4 3.136390-9 4.146000-4 1.518273-8 4.170000-4 1.515363-8 4.195000-4 1.519644-8 4.255000-4 1.545354-8 4.267500-4 1.553329-8 4.267500-4 1.726370-8 4.300000-4 1.761992-8 4.317000-4 1.787511-8 4.332000-4 1.816820-8 4.344000-4 1.845523-8 4.355000-4 1.876841-8 4.370000-4 1.928018-8 4.385000-4 1.989738-8 4.400000-4 2.062765-8 4.415704-4 2.152597-8 4.430000-4 2.246783-8 4.445000-4 2.358618-8 4.466836-4 2.546171-8 4.485000-4 2.722769-8 4.508000-4 2.973281-8 4.523000-4 3.147795-8 4.550000-4 3.481978-8 4.607000-4 4.219532-8 4.640000-4 4.629145-8 4.665000-4 4.915996-8 4.690000-4 5.179570-8 4.715000-4 5.418549-8 4.740000-4 5.633593-8 4.765000-4 5.826253-8 4.790000-4 5.998327-8 4.815000-4 6.152075-8 4.850000-4 6.338004-8 4.890000-4 6.515997-8 4.930000-4 6.663093-8 4.965000-4 6.766635-8 5.020000-4 6.889460-8 5.080000-4 6.985497-8 5.150000-4 7.064525-8 5.280000-4 7.159651-8 5.450000-4 7.225747-8 5.690000-4 7.258727-8 6.095369-4 7.280466-8 7.079458-4 7.248869-8 7.672900-4 7.214988-8 7.672900-4 7.408653-8 8.129400-4 7.406092-8 8.129400-4 8.473921-8 8.709636-4 8.708465-8 9.332543-4 8.890637-8 1.070800-3 9.192438-8 1.070800-3 1.171370-7 1.319500-3 1.262328-7 1.319500-3 1.320909-7 1.478900-3 1.386408-7 1.478900-3 1.502890-7 1.737801-3 1.621362-7 2.018366-3 1.737188-7 2.400000-3 1.878275-7 2.722701-3 1.983941-7 3.162278-3 2.114013-7 3.668100-3 2.245366-7 3.668100-3 2.697162-7 3.859200-3 2.715539-7 3.859200-3 5.205912-5 4.027170-3 5.259401-5 4.365158-3 5.231160-5 4.421600-3 5.230240-5 4.421600-3 5.253969-5 4.954502-3 5.229976-5 5.365500-3 5.195406-5 5.365500-3 5.815363-5 5.712200-3 5.852188-5 5.712200-3 5.965997-5 7.161434-3 6.117051-5 9.549926-3 6.305760-5 1.244515-2 6.476140-5 1.566751-2 6.620440-5 1.762600-2 6.693439-5 1.762600-2 3.927571-3 1.798871-2 3.934510-3 2.113489-2 3.897504-3 2.170200-2 3.888759-3 2.170200-2 5.793807-3 2.244000-2 5.811051-3 2.244000-2 6.086238-3 2.754229-2 6.156262-3 3.427678-2 6.214379-3 4.677351-2 6.264525-3 7.244360-2 6.303193-3 1.192000-1 6.321276-3 1.192000-1 8.330996-2 1.396368-1 8.396442-2 2.018366-1 8.496175-2 3.235937-1 8.578133-2 6.025596-1 8.666123-2 9.772372-1 8.725349-2 1.000000+5 8.727163-2 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 4.110000-6 0.0 4.750000-6 6.400000-7 4.750000-6 4.437699-7 4.960000-6 6.473099-7 5.700000-6 1.371446-6 5.880000-6 1.548505-6 5.880000-6 7.973567-7 6.350000-6 1.362425-6 6.700000-6 1.775704-6 7.100000-6 2.238906-6 7.585776-6 2.789690-6 8.317638-6 3.599261-6 9.030000-6 4.368140-6 9.030000-6 4.235945-6 1.000000-5 5.248561-6 1.012000-5 5.371610-6 1.012000-5 5.264035-6 1.122018-5 6.360560-6 1.245000-5 7.535600-6 1.365000-5 8.630423-6 1.496236-5 9.766025-6 1.621810-5 1.079131-5 1.778279-5 1.199198-5 2.041738-5 1.388838-5 2.317395-5 1.586554-5 2.525000-5 1.744929-5 2.525000-5 5.218461-6 2.660725-5 7.324635-6 2.917427-5 1.133997-5 3.126079-5 1.454180-5 3.300000-5 1.712848-5 3.467369-5 1.953752-5 3.552000-5 2.072453-5 3.552000-5 1.414990-5 3.981072-5 2.041479-5 4.315191-5 2.516145-5 4.677351-5 3.010511-5 5.011872-5 3.447472-5 5.400000-5 3.930639-5 5.439000-5 3.977911-5 5.439000-5 3.882589-5 5.688529-5 4.189707-5 6.165950-5 4.750082-5 6.800000-5 5.452435-5 7.673615-5 6.372379-5 9.000000-5 7.712477-5 1.060000-4 9.266324-5 1.094700-4 9.595111-5 1.094700-4 6.910158-5 1.118500-4 6.037307-5 1.124000-4 5.851752-5 1.129500-4 5.678720-5 1.135011-4 5.519267-5 1.141000-4 5.360798-5 1.146000-4 5.242965-5 1.152000-4 5.119435-5 1.157700-4 5.019807-5 1.163000-4 4.942074-5 1.170000-4 4.861314-5 1.175000-4 4.814299-5 1.184800-4 4.753937-5 1.184800-4 4.187192-5 1.192000-4 4.111320-5 1.205000-4 3.994196-5 1.219000-4 3.891737-5 1.230269-4 3.831103-5 1.245000-4 3.785651-5 1.257000-4 3.773927-5 1.267000-4 3.783675-5 1.280000-4 3.818075-5 1.295000-4 3.883745-5 1.310000-4 3.971809-5 1.333521-4 4.140217-5 1.365000-4 4.393059-5 1.450000-4 5.124876-5 1.560000-4 6.107161-5 1.680000-4 7.228030-5 1.800000-4 8.396249-5 1.915000-4 9.576193-5 2.023000-4 1.076066-4 2.125600-4 1.195869-4 2.125600-4 1.077872-4 2.270000-4 1.235621-4 2.500000-4 1.500262-4 2.729500-4 1.766375-4 2.729500-4 1.603092-4 3.162278-4 2.125817-4 3.362500-4 2.357352-4 3.362500-4 2.284351-4 3.715352-4 2.672920-4 4.146000-4 3.128218-4 4.146000-4 3.027293-4 4.267500-4 3.149252-4 4.267500-4 3.090523-4 4.370000-4 3.173727-4 4.440000-4 3.211106-4 4.495000-4 3.220654-4 4.570882-4 3.208310-4 4.700000-4 3.174151-4 4.786301-4 3.174576-4 4.871500-4 3.197485-4 4.965000-4 3.242882-4 5.100000-4 3.333787-4 5.308844-4 3.507322-4 5.650000-4 3.824664-4 6.606934-4 4.768352-4 7.672900-4 5.835795-4 7.672900-4 5.716189-4 8.129400-4 6.158507-4 8.129400-4 6.096701-4 1.023293-3 8.119884-4 1.070800-3 8.580715-4 1.070800-3 8.466064-4 1.319500-3 1.087045-3 1.319500-3 1.083989-3 1.478900-3 1.238169-3 1.478900-3 1.233351-3 2.426610-3 2.156013-3 3.668100-3 3.377721-3 3.668100-3 3.245392-3 3.859200-3 3.435773-3 3.859200-3 3.357281-3 4.421600-3 3.919324-3 4.421600-3 3.884969-3 5.365500-3 4.824408-3 5.365500-3 4.800803-3 5.712200-3 5.143952-3 5.712200-3 5.127992-3 1.513561-2 1.447930-2 1.762600-2 1.695893-2 1.762600-2 1.297607-2 2.170200-2 1.708661-2 2.170200-2 1.513898-2 2.244000-2 1.585880-2 2.244000-2 1.552977-2 3.589219-2 2.881699-2 1.122019-1 1.049665-1 1.192000-1 1.119601-1 1.192000-1 3.504636-2 1.218000-1 3.751825-2 1.230269-1 3.873505-2 1.258925-1 4.146766-2 1.318257-1 4.722307-2 1.717908-1 8.638168-2 2.722701-1 1.859005-1 1.096478+0 1.008320+0 1.000000+5 9.999991+4 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.192000-1 1.329684+3 1.218000-1 1.263312+3 1.225000-1 1.242390+3 1.250000-1 1.186258+3 1.288250-1 1.097106+3 1.333521-1 1.010531+3 2.576800-1 1.916363+2 3.090295-1 1.219317+2 3.630781-1 8.224351+1 4.120975-1 6.073332+1 4.731513-1 4.398077+1 5.432503-1 3.209575+1 6.095369-1 2.484285+1 6.918310-1 1.888870+1 7.943282-1 1.411471+1 9.332543-1 1.013681+1 1.035142+0 8.245902+0 1.230269+0 5.885824+0 1.380384+0 4.735474+0 1.548817+0 3.835082+0 1.757924+0 3.064752+0 2.044000+0 2.366163+0 2.317395+0 1.921364+0 2.660725+0 1.540158+0 3.090295+0 1.222014+0 3.589219+0 9.765372-1 4.168694+0 7.862095-1 4.897788+0 6.273649-1 5.821032+0 4.963942-1 6.918310+0 3.957383-1 8.413951+0 3.086098-1 1.011579+1 2.459521-1 1.244515+1 1.918661-1 1.566751+1 1.467579-1 2.065380+1 1.073600-1 2.600160+1 8.324042-2 3.589219+1 5.873983-2 5.188000+1 3.976411-2 8.222427+1 2.463496-2 1.531087+2 1.303287-2 3.054921+2 6.476800-3 6.095369+2 3.231786-3 4.841724+3 4.053452-4 1.000000+5 1.961400-5 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.192000-1 8.202700-4 1.000000+5 8.202700-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.192000-1 1.073600-1 1.000000+5 1.073600-1 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.192000-1 1.101973-2 1.000000+5 9.999989+4 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.244000-2 4.563374+3 2.265000-2 4.470631+3 2.344229-2 4.218230+3 2.380000-2 4.118320+3 2.450000-2 3.904520+3 2.570396-2 3.608495+3 2.722701-2 3.248228+3 3.070000-2 2.618660+3 3.311311-2 2.274582+3 3.589219-2 1.947692+3 4.415704-2 1.291029+3 5.128614-2 9.467460+2 5.688529-2 7.610525+2 6.839116-2 5.101203+2 8.222426-2 3.378784+2 9.885531-2 2.215277+2 1.202264-1 1.400962+2 1.496236-1 8.320389+1 2.722701-1 1.963615+1 3.388442-1 1.166974+1 4.027170-1 7.791571+0 4.731513-1 5.386537+0 5.495409-1 3.850980+0 6.309573-1 2.845181+0 7.244360-1 2.117493+0 8.413951-1 1.549682+0 9.549926-1 1.198179+0 1.148154+0 8.335855-1 1.288250+0 6.678418-1 1.462177+0 5.273475-1 1.640590+0 4.285531-1 1.883649+0 3.367726-1 2.162719+0 2.665393-1 2.454709+0 2.167293-1 2.818383+0 1.742803-1 3.311311+0 1.362770-1 3.845918+0 1.092774-1 4.466836+0 8.827345-2 5.308844+0 6.955847-2 6.309573+0 5.523377-2 7.585776+0 4.353940-2 9.225714+0 3.407408-2 1.148154+1 2.613576-2 1.445440+1 1.993799-2 1.800000+1 1.551300-2 2.400000+1 1.124800-2 3.349654+1 7.830897-3 4.786301+1 5.357581-3 7.498942+1 3.354105-3 1.333521+2 1.857389-3 2.570396+2 9.543421-4 5.128614+2 4.758826-4 4.073803+3 5.964041-5 1.000000+5 2.428100-6 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.244000-2 1.172000-3 1.000000+5 1.172000-3 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.244000-2 7.864800-3 1.000000+5 7.864800-3 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.244000-2 1.340320-2 1.000000+5 9.999999+4 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.170200-2 9.455277+3 2.200000-2 9.202900+3 2.275000-2 8.512000+3 2.371374-2 7.681800+3 2.454709-2 7.073200+3 3.019952-2 4.197100+3 3.349654-2 3.208600+3 4.120975-2 1.853500+3 5.128614-2 1.023400+3 6.456542-2 5.410500+2 8.128305-2 2.833900+2 1.083927-1 1.252800+2 1.698244-1 3.496700+1 2.137962-1 1.828800+1 2.570396-1 1.096783+1 3.019952-1 7.061957+0 3.507519-1 4.725926+0 4.027170-1 3.286103+0 4.570882-1 2.372257+0 5.188000-1 1.726114+0 5.821032-1 1.302026+0 6.531306-1 9.893650-1 7.328245-1 7.580815-1 8.222427-1 5.851337-1 9.440609-1 4.324946-1 1.022000+0 3.661197-1 1.122018+0 3.034675-1 1.244515+0 2.484677-1 1.396368+0 2.006673-1 1.659587+0 1.472094-1 1.905461+0 1.157315-1 2.162719+0 9.343853-2 2.454709+0 7.599370-2 2.818383+0 6.112263-2 3.311311+0 4.779992-2 3.845918+0 3.833014-2 4.466836+0 3.096228-2 5.308844+0 2.439753-2 6.309573+0 1.937316-2 7.498942+0 1.549686-2 9.120108+0 1.212292-2 1.135011+1 9.294486-3 1.428894+1 7.087158-3 1.800000+1 5.441100-3 2.400000+1 3.945100-3 3.388442+1 2.712926-3 4.841724+1 1.856546-3 7.585776+1 1.162552-3 1.348963+2 6.438730-4 2.600160+2 3.308698-4 5.188000+2 1.649939-4 4.120975+3 2.067959-5 1.000000+5 8.516500-7 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.170200-2 8.713700-4 1.000000+5 8.713700-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.170200-2 1.036400-2 1.000000+5 1.036400-2 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.170200-2 1.046663-2 1.000000+5 9.999999+4 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.762600-2 2.282825+4 1.790000-2 2.203060+4 1.865000-2 1.973940+4 1.927525-2 1.801148+4 2.018366-2 1.589171+4 2.483133-2 8.879963+3 2.754229-2 6.594753+3 3.311311-2 3.854602+3 4.168694-2 1.941451+3 5.188000-2 9.993856+2 6.382635-2 5.278219+2 8.000000-2 2.610824+2 1.083927-1 1.004625+2 1.603245-1 2.926764+1 2.000000-1 1.467660+1 2.400000-1 8.368246+0 2.800000-1 5.249656+0 3.198895-1 3.533506+0 3.630781-1 2.441748+0 4.073803-1 1.756487+0 4.570882-1 1.272594+0 5.069907-1 9.587227-1 5.623413-1 7.275784-1 6.237348-1 5.558931-1 6.998420-1 4.153681-1 7.762471-1 3.218973-1 8.609938-1 2.513373-1 9.440609-1 2.026624-1 1.000000+0 1.782991-1 1.071519+0 1.542010-1 1.148154+0 1.342751-1 1.250000+0 1.141295-1 1.380384+0 9.514322-2 1.757924+0 6.194294-2 2.018366+0 4.881465-2 2.290868+0 3.953363-2 2.600160+0 3.224758-2 3.000000+0 2.581600-2 3.467369+0 2.074877-2 4.027170+0 1.667612-2 4.731513+0 1.328504-2 5.623413+0 1.049568-2 6.683439+0 8.355146-3 8.035261+0 6.601665-3 9.660509+0 5.252003-3 1.202264+1 4.034877-3 1.513561+1 3.083190-3 1.927525+1 2.341870-3 2.511886+1 1.745010-3 3.507519+1 1.215457-3 5.011872+1 8.324233-4 7.943282+1 5.154028-4 1.428894+2 2.823063-4 2.786121+2 1.434816-4 5.559043+2 7.157047-5 4.415704+3 8.973183-6 1.000000+5 3.959800-7 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.762600-2 8.118300-4 1.000000+5 8.118300-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.762600-2 6.753600-3 1.000000+5 6.753600-3 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.762600-2 1.006057-2 1.000000+5 9.999999+4 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 5.712200-3 1.166110+4 5.890000-3 1.117950+4 6.025596-3 1.088296+4 6.500000-3 9.864300+3 6.918310-3 9.030925+3 7.500000-3 8.105280+3 8.128305-3 7.197862+3 8.609938-3 6.579250+3 9.332543-3 5.836873+3 1.000000-2 5.229920+3 1.230269-2 3.715187+3 1.364583-2 3.103838+3 1.584893-2 2.380677+3 1.819701-2 1.845990+3 2.041738-2 1.487368+3 2.454709-2 1.041453+3 2.951209-2 7.210998+2 3.548134-2 4.940417+2 4.216965-2 3.434078+2 5.011872-2 2.366904+2 5.888437-2 1.660007+2 6.918310-2 1.156481+2 8.317638-2 7.591144+1 1.011580-1 4.810781+1 1.273503-1 2.789457+1 1.610000-1 1.589969+1 2.600160-1 4.998972+0 3.198895-1 3.049377+0 3.845918-1 1.978649+0 4.518559-1 1.364299+0 5.188000-1 9.982820-1 6.025596-1 7.173293-1 6.918310-1 5.323933-1 8.000000-1 3.920707-1 9.120108-1 2.994264-1 1.023293+0 2.379770-1 1.216186+0 1.697980-1 1.364583+0 1.364984-1 1.531087+0 1.104507-1 1.737801+0 8.820175-2 2.018366+0 6.817609-2 2.290868+0 5.521391-2 2.600160+0 4.503830-2 3.000000+0 3.605600-2 3.467369+0 2.897870-2 4.027170+0 2.329052-2 4.731513+0 1.855440-2 5.623413+0 1.465847-2 6.683439+0 1.166932-2 8.035261+0 9.220187-3 9.660509+0 7.335063-3 1.202264+1 5.635199-3 1.513561+1 4.306105-3 1.927525+1 3.270670-3 2.511886+1 2.437175-3 3.507519+1 1.697572-3 5.011872+1 1.162600-3 7.943282+1 7.198292-4 1.445440+2 3.896735-4 2.818383+2 1.980770-4 5.623413+2 9.880659-5 4.466836+3 1.238920-5 1.000000+5 5.530400-7 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 5.712200-3 8.746900-4 1.000000+5 8.746900-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.712200-3 8.654600-5 1.000000+5 8.654600-5 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.712200-3 4.750964-3 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 5.365500-3 1.871779+4 5.821032-3 1.721474+4 6.095369-3 1.629974+4 6.800000-3 1.420502+4 7.328245-3 1.276907+4 8.222426-3 1.073853+4 8.912509-3 9.457355+3 9.400000-3 8.668660+3 1.109175-2 6.496375+3 1.190000-2 5.705600+3 1.400000-2 4.172660+3 1.513561-2 3.568025+3 1.757924-2 2.615874+3 1.927525-2 2.146347+3 2.213095-2 1.583100+3 2.540973-2 1.155604+3 2.851018-2 8.832248+2 3.273407-2 6.349008+2 3.801894-2 4.400862+2 4.415704-2 3.025173+2 5.188000-2 2.003609+2 6.095369-2 1.316860+2 7.328245-2 8.083252+1 9.015711-2 4.628900+1 1.122019-1 2.550780+1 2.041738-1 4.931657+0 2.540973-1 2.721494+0 3.054921-1 1.661642+0 3.589219-1 1.087090+0 4.120975-1 7.609552-1 4.731513-1 5.368072-1 5.370318-1 3.927387-1 6.025596-1 2.975923-1 6.760830-1 2.270603-1 7.585776-1 1.745002-1 8.609938-1 1.315545-1 9.332543-1 1.105504-1 1.011579+0 9.355926-2 1.135011+0 7.438181-2 1.258925+0 6.089199-2 1.412538+0 4.916436-2 1.640590+0 3.755793-2 1.883649+0 2.950906-2 2.137962+0 2.380580-2 2.426610+0 1.934559-2 2.786121+0 1.554816-2 3.273407+0 1.215140-2 3.801894+0 9.738426-3 4.415704+0 7.862235-3 5.248075+0 6.192018-3 6.237348+0 4.914362-3 7.413102+0 3.929128-3 9.015711+0 3.072171-3 1.122018+1 2.354569-3 1.400000+1 1.813200-3 1.757924+1 1.396343-3 2.344229+1 1.011675-3 3.235937+1 7.122533-4 4.570882+1 4.928829-4 6.998420+1 3.157476-4 1.202264+2 1.809500-4 2.317395+2 9.285910-5 4.623810+2 4.628573-5 1.840772+3 1.157943-5 1.000000+5 2.127900-7 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 5.365500-3 7.878800-4 1.000000+5 7.878800-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.365500-3 1.583600-4 1.000000+5 1.583600-4 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.365500-3 4.419260-3 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.421600-3 7.028345+4 4.540000-3 6.739642+4 5.188000-3 5.386082+4 5.688529-3 4.584110+4 6.531306-3 3.532916+4 7.328245-3 2.826681+4 7.852356-3 2.461559+4 9.225714-3 1.765758+4 1.000000-2 1.483656+4 1.174898-2 1.039008+4 1.300000-2 8.237240+3 1.479108-2 6.089782+3 1.678804-2 4.485719+3 1.883649-2 3.377351+3 2.162719-2 2.382123+3 2.483133-2 1.665616+3 2.818383-2 1.191352+3 3.198895-2 8.466424+2 3.672823-2 5.791276+2 4.216965-2 3.933626+2 4.897788-2 2.568302+2 5.688529-2 1.665183+2 6.760830-2 1.002081+2 8.128305-2 5.783418+1 1.000000-1 3.092280+1 1.905461-1 4.318933+0 2.344229-1 2.307558+0 2.754229-1 1.426660+0 3.198895-1 9.195617-1 3.672823-1 6.177953-1 4.168694-1 4.322766-1 4.677351-1 3.146658-1 5.188000-1 2.380113-1 5.754399-1 1.812407-1 6.456542-1 1.348987-1 7.161434-1 1.041329-1 7.943282-1 8.094159-2 8.709636-1 6.485750-2 9.332543-1 5.527671-2 9.885531-1 4.866021-2 1.059254+0 4.207630-2 1.148154+0 3.579233-2 1.250000+0 3.040991-2 1.380384+0 2.534120-2 1.737801+0 1.682679-2 2.000000+0 1.319948-2 2.264644+0 1.072566-2 2.570396+0 8.743762-3 2.951209+0 7.048537-3 3.427678+0 5.619800-3 4.000000+0 4.483400-3 4.677351+0 3.594233-3 5.559043+0 2.838113-3 6.606934+0 2.258199-3 7.943282+0 1.783433-3 9.549926+0 1.418187-3 1.188502+1 1.089085-3 1.500000+1 8.294900-4 1.905461+1 6.316499-4 2.511886+1 4.646251-4 3.507519+1 3.236320-4 5.011872+1 2.216371-4 7.943282+1 1.372246-4 1.445440+2 7.428737-5 2.786121+2 3.820338-5 5.559043+2 1.905578-5 4.415704+3 2.389159-6 1.000000+5 1.054300-7 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.421600-3 6.884500-4 1.000000+5 6.884500-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.421600-3 5.396100-5 1.000000+5 5.396100-5 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.421600-3 3.679189-3 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 3.859200-3 1.743400+5 3.970000-3 1.640163+5 4.027170-3 1.587460+5 4.230000-3 1.393388+5 4.570882-3 1.137753+5 4.954502-3 9.135994+4 5.623413-3 6.414674+4 6.309573-3 4.621690+4 7.161434-3 3.192734+4 7.852356-3 2.424150+4 9.549926-3 1.329659+4 1.059254-2 9.593961+3 1.216186-2 6.177358+3 1.462177-2 3.385548+3 1.698244-2 2.055109+3 1.905461-2 1.391941+3 2.187762-2 8.666377+2 2.570396-2 4.943174+2 3.054921-2 2.684288+2 3.630781-2 1.445812+2 4.365158-2 7.412748+1 5.370318-2 3.468346+1 7.000000-2 1.301368+1 1.230269-1 1.603963+0 1.513561-1 7.475526-1 1.798871-1 3.988686-1 2.000000-1 2.723952-1 2.398833-1 1.429675-1 2.722701-1 9.180432-2 3.090295-1 5.937915-2 3.467369-1 4.024334-2 3.890451-1 2.747794-2 4.365158-1 1.889739-2 4.786301-1 1.410815-2 5.128614-1 1.139747-2 5.623413-1 8.646455-3 6.531306-1 5.578718-3 7.244360-1 4.149036-3 8.609938-1 2.568118-3 9.120108-1 2.204049-3 9.549926-1 1.962200-3 1.000000+0 1.758374-3 1.047129+0 1.586654-3 1.109175+0 1.405437-3 1.174898+0 1.253470-3 1.258925+0 1.100673-3 1.364583+0 9.527899-4 1.531087+0 7.805123-4 1.862087+0 5.528801-4 2.089296+0 4.541816-4 2.371374+0 3.685781-4 2.722701+0 2.958254-4 3.198895+0 2.309101-4 3.715352+0 1.848420-4 4.315191+0 1.490683-4 5.069907+0 1.191396-4 6.025596+0 9.440884-5 7.161434+0 7.537490-5 8.810489+0 5.802133-5 1.083927+1 4.504781-5 1.333521+1 3.522705-5 1.698244+1 2.665168-5 2.238721+1 1.954336-5 2.917427+1 1.462221-5 4.120975+1 1.009530-5 6.095369+1 6.690411-6 9.885531+1 4.058571-6 1.905461+2 2.077865-6 3.801894+2 1.034525-6 7.585776+2 5.166228-7 1.202264+4 3.249316-8 1.000000+5 3.905600-9 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 3.859200-3 5.141700-4 1.000000+5 5.141700-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.859200-3 1.767700-4 1.000000+5 1.767700-4 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.859200-3 3.168260-3 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 3.668100-3 2.754900+5 3.713000-3 2.677966+5 3.780000-3 2.580764+5 3.790000-3 2.569914+5 3.870000-3 2.417286+5 4.315191-3 1.806182+5 4.677351-3 1.444970+5 5.370318-3 9.752874+4 5.956621-3 7.219674+4 6.606934-3 5.312185+4 7.328245-3 3.882257+4 8.000000-3 2.956956+4 9.332543-3 1.822900+4 1.059254-2 1.211369+4 1.188502-2 8.316715+3 1.380384-2 5.048272+3 1.548817-2 3.415466+3 1.757924-2 2.208594+3 2.041738-2 1.307981+3 2.371374-2 7.679718+2 2.754229-2 4.473120+2 3.235937-2 2.478958+2 3.801894-2 1.363388+2 4.570882-2 6.830187+1 5.500000-2 3.385869+1 7.244360-2 1.179894+1 1.216186-1 1.614533+0 1.462177-1 8.015148-1 1.698244-1 4.568860-1 1.949845-1 2.738103-1 2.213095-1 1.723540-1 2.483133-1 1.138888-1 2.786121-1 7.580000-2 3.090295-1 5.291398-2 3.427678-1 3.720997-2 3.758374-1 2.738889-2 4.168694-1 1.955048-2 4.570882-1 1.459593-2 4.954502-1 1.137952-2 5.370318-1 8.942658-3 5.888437-1 6.843153-3 6.531306-1 5.103526-3 7.161434-1 3.959387-3 8.222427-1 2.731032-3 8.810489-1 2.272114-3 9.332543-1 1.962965-3 9.772372-1 1.756768-3 1.023293+0 1.582364-3 1.083927+0 1.398854-3 1.148154+0 1.244927-3 1.230269+0 1.090375-3 1.333521+0 9.413724-4 1.840772+0 5.343682-4 2.089296+0 4.303307-4 2.371374+0 3.492342-4 2.722701+0 2.803084-4 3.198895+0 2.188073-4 3.715352+0 1.751587-4 4.315191+0 1.412553-4 5.069907+0 1.128899-4 6.025596+0 8.945986-5 7.161434+0 7.142334-5 8.810489+0 5.497902-5 1.083927+1 4.268649-5 1.318257+1 3.383430-5 1.678804+1 2.558760-5 2.213095+1 1.875749-5 2.818383+1 1.438432-5 4.000000+1 9.873400-6 5.888437+1 6.572069-6 9.549926+1 3.984608-6 1.840772+2 2.039184-6 3.672823+2 1.014977-6 7.328245+2 5.068125-7 1.161449+4 3.187266-8 1.000000+5 3.700800-9 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 3.668100-3 5.175800-4 1.000000+5 5.175800-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.668100-3 3.022100-7 1.000000+5 3.022100-7 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.668100-3 3.150218-3 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.478900-3 2.591410+4 1.584893-3 2.406105+4 1.717908-3 2.217903+4 1.800000-3 2.119820+4 1.905461-3 1.989975+4 2.238721-3 1.648088+4 2.570396-3 1.392741+4 2.786121-3 1.251856+4 3.388442-3 9.556595+3 3.758374-3 8.216378+3 4.415704-3 6.450245+3 5.188000-3 5.009161+3 5.821032-3 4.160480+3 6.928200-3 3.114715+3 8.317638-3 2.275414+3 9.885531-3 1.676190+3 1.174898-2 1.224568+3 1.400000-2 8.832060+2 1.678804-2 6.243110+2 2.000000-2 4.434500+2 2.371374-2 3.155887+2 2.818383-2 2.219244+2 3.349654-2 1.548833+2 4.000000-2 1.062250+2 4.786301-2 7.198048+1 5.688529-2 4.912897+1 6.839116-2 3.244061+1 8.222426-2 2.125995+1 1.011580-1 1.309983+1 1.258925-1 7.796489+0 2.600160-1 1.357938+0 3.235937-1 8.061640-1 3.890451-1 5.232824-1 4.570882-1 3.611908-1 5.308844-1 2.577798-1 6.095369-1 1.900684-1 6.998420-1 1.411561-1 8.128305-1 1.030667-1 9.225714-1 7.948240-2 1.047129+0 6.178467-2 1.230269+0 4.511356-2 1.380384+0 3.629325-2 1.548817+0 2.938933-2 1.757924+0 2.348457-2 2.044000+0 1.813001-2 2.317395+0 1.472082-2 2.660725+0 1.179923-2 3.090295+0 9.361143-3 3.589219+0 7.480584-3 4.168694+0 6.022545-3 4.897788+0 4.805750-3 5.821032+0 3.802493-3 6.918310+0 3.031466-3 8.413951+0 2.364003-3 1.023293+1 1.857859-3 1.258925+1 1.449972-3 1.584893+1 1.109424-3 2.089296+1 8.119040-4 2.630268+1 6.296661-4 3.630781+1 4.444521-4 5.248075+1 3.009420-4 8.317638+1 1.864861-4 1.548817+2 9.866923-5 3.090295+2 4.904106-5 6.165950+2 2.447098-5 4.897788+3 3.069468-6 1.000000+5 1.502500-7 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.478900-3 5.064600-4 1.000000+5 5.064600-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.478900-3 7.829200-7 1.000000+5 7.829200-7 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.478900-3 9.716571-4 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.319500-3 2.228245+4 1.440000-3 2.216683+4 1.621810-3 2.149937+4 1.737801-3 2.088787+4 1.883649-3 2.003591+4 2.030000-3 1.916518+4 2.187762-3 1.818331+4 2.400000-3 1.686614+4 2.570396-3 1.582544+4 2.900000-3 1.402064+4 3.126079-3 1.292113+4 3.427678-3 1.158041+4 3.801894-3 1.017323+4 4.150000-3 9.052240+3 4.731513-3 7.522977+3 5.188000-3 6.560029+3 5.888437-3 5.384859+3 6.500000-3 4.583720+3 7.328245-3 3.742980+3 8.317638-3 2.993782+3 9.225714-3 2.478439+3 1.047129-2 1.952741+3 1.202264-2 1.491613+3 1.364583-2 1.155745+3 1.548817-2 8.888952+2 1.757924-2 6.787339+2 2.000000-2 5.119380+2 2.264644-2 3.875644+2 2.600160-2 2.823058+2 3.000000-2 2.017080+2 3.467369-2 1.424057+2 4.027170-2 9.857557+1 4.731513-2 6.578472+1 5.495409-2 4.487197+1 6.531306-2 2.863231+1 7.852356-2 1.759234+1 9.660509-2 1.009075+1 1.258925-1 4.915950+0 2.018366-1 1.354805+0 2.600160-1 6.839746-1 3.126079-1 4.189722-1 3.630781-1 2.832135-1 4.168694-1 1.986154-1 4.731513-1 1.444240-1 5.370318-1 1.057704-1 6.095369-1 7.805867-2 6.760830-1 6.128186-2 7.585776-1 4.717300-2 8.511380-1 3.656066-2 9.549926-1 2.849979-2 1.035142+0 2.410630-2 1.135011+0 2.005654-2 1.258925+0 1.643328-2 1.412538+0 1.327660-2 1.659587+0 9.941936-3 1.905461+0 7.814937-3 2.162719+0 6.308204-3 2.454709+0 5.129327-3 2.818383+0 4.124551-3 3.311311+0 3.225173-3 3.845918+0 2.586247-3 4.466836+0 2.089081-3 5.308844+0 1.646143-3 6.309573+0 1.307184-3 7.585776+0 1.030403-3 9.225714+0 8.064075-4 1.148154+1 6.185364-4 1.445440+1 4.718519-4 1.819701+1 3.626276-4 2.426610+1 2.629881-4 3.388442+1 1.830422-4 4.841724+1 1.252656-4 7.585776+1 7.843984-5 1.348963+2 4.344311-5 2.630268+2 2.206636-5 5.248075+2 1.100493-5 4.168694+3 1.379332-6 1.000000+5 5.746200-8 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.319500-3 4.737800-4 1.000000+5 4.737800-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.319500-3 5.899700-7 1.000000+5 5.899700-7 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.319500-3 8.451300-4 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.070800-3 1.535600+5 1.161449-3 1.412254+5 1.190000-3 1.380292+5 1.333521-3 1.222152+5 1.584893-3 9.942375+4 1.730000-3 8.892080+4 1.950000-3 7.552720+4 2.162719-3 6.498649+4 2.454709-3 5.381945+4 2.691535-3 4.658125+4 3.150000-3 3.605308+4 3.500000-3 3.013212+4 4.000000-3 2.384092+4 4.518559-3 1.909147+4 5.069907-3 1.538685+4 5.821032-3 1.177678+4 6.606934-3 9.143966+3 7.413102-3 7.219984+3 8.413951-3 5.529457+3 9.660509-3 4.099090+3 1.109175-2 3.013095+3 1.273503-2 2.196175+3 1.462177-2 1.587606+3 1.678804-2 1.138282+3 1.927525-2 8.095547+2 2.213095-2 5.713352+2 2.540973-2 4.000300+2 2.900000-2 2.824304+2 3.273407-2 2.040517+2 3.801894-2 1.355500+2 4.365158-2 9.227349+1 5.069907-2 6.038645+1 5.956621-2 3.795887+1 7.079458-2 2.289754+1 8.511380-2 1.325172+1 1.059254-1 6.865433+0 1.584893-1 2.018588+0 2.065380-1 9.046413-1 2.483133-1 5.209742-1 2.917427-1 3.234849-1 3.349654-1 2.164359-1 3.801894-1 1.507519-1 4.265795-1 1.092421-1 4.786301-1 7.971262-2 5.370318-1 5.858690-2 5.956621-1 4.471113-2 6.606935-1 3.434634-2 7.328245-1 2.656139-2 8.511380-1 1.845557-2 9.120108-1 1.570151-2 9.660509-1 1.380195-2 1.023293+0 1.220757-2 1.109175+0 1.035594-2 1.202264+0 8.843299-3 1.303167+0 7.598934-3 1.462177+0 6.170737-3 1.757924+0 4.450711-3 2.018366+0 3.507779-3 2.290868+0 2.840870-3 2.600160+0 2.317333-3 3.000000+0 1.855200-3 3.467369+0 1.491062-3 4.027170+0 1.198395-3 4.731513+0 9.547084-4 5.623413+0 7.542444-4 6.683439+0 6.004161-4 8.035261+0 4.744099-4 9.660509+0 3.774168-4 1.202264+1 2.899517-4 1.513561+1 2.215653-4 1.927525+1 1.682899-4 2.540973+1 1.238337-4 3.548134+1 8.627765-5 5.069907+1 5.910077-5 8.035261+1 3.660045-5 1.462177+2 1.981682-5 2.851018+2 1.007442-5 5.688529+2 5.025645-6 4.518559+3 6.301508-7 1.000000+5 2.845600-8 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.070800-3 4.043800-4 1.000000+5 4.043800-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.070800-3 5.145100-7 1.000000+5 5.145100-7 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.070800-3 6.659055-4 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 8.129400-4 1.842100+5 8.237000-4 1.894034+5 8.480000-4 1.991582+5 8.750000-4 2.067155+5 8.810489-4 2.079540+5 9.120108-4 2.116537+5 9.332543-4 2.123624+5 9.772372-4 2.111548+5 1.030000-3 2.081516+5 1.083927-3 2.037719+5 1.135011-3 1.986507+5 1.202264-3 1.909888+5 1.270000-3 1.827884+5 1.350000-3 1.727256+5 1.428894-3 1.628211+5 1.513561-3 1.524860+5 1.610000-3 1.413056+5 1.737801-3 1.275296+5 1.862087-3 1.155667+5 1.972423-3 1.057933+5 2.150000-3 9.187640+4 2.344229-3 7.923973+4 2.511886-3 6.993003+4 2.754229-3 5.872942+4 3.000000-3 4.964840+4 3.273407-3 4.148330+4 3.630781-3 3.325106+4 3.935501-3 2.780862+4 4.365158-3 2.193370+4 4.786301-3 1.763348+4 5.308844-3 1.369092+4 5.888437-3 1.054497+4 6.531306-3 8.062171+3 7.244360-3 6.118528+3 8.035261-3 4.611503+3 9.015711-3 3.341433+3 1.011579-2 2.401386+3 1.122018-2 1.771805+3 1.244515-2 1.299486+3 1.380384-2 9.474892+2 1.548817-2 6.625098+2 1.737801-2 4.601467+2 1.949845-2 3.175508+2 2.213095-2 2.096604+2 2.511886-2 1.374650+2 2.884032-2 8.608738+1 3.311311-2 5.351966+1 3.845918-2 3.174304+1 4.518559-2 1.794982+1 5.432503-2 9.280993+0 6.760830-2 4.203890+0 1.396368-1 2.969553-1 1.698244-1 1.461938-1 1.972423-1 8.559429-2 2.344229-1 4.650934-2 2.660725-1 2.993607-2 3.019952-1 1.940949-2 3.427678-1 1.268016-2 3.890451-1 8.350533-3 4.315191-1 5.969870-3 4.786301-1 4.299705-3 5.128614-1 3.472676-3 5.623413-1 2.631506-3 6.165950-1 2.007964-3 6.760830-1 1.542395-3 7.244360-1 1.269209-3 7.852356-1 1.005946-3 8.317638-1 8.567666-4 8.810489-1 7.342151-4 9.332543-1 6.339427-4 9.772372-1 5.672587-4 1.023293+0 5.108344-4 1.083927+0 4.514865-4 1.148154+0 4.017595-4 1.230269+0 3.518777-4 1.333521+0 3.038272-4 1.548817+0 2.338745-4 1.840772+0 1.724888-4 2.065380+0 1.416301-4 2.344229+0 1.148661-4 2.691535+0 9.212491-5 3.126079+0 7.312509-5 3.630781+0 5.846896-5 4.216965+0 4.709979-5 4.954502+0 3.760414-5 5.888437+0 2.976811-5 7.000000+0 2.373700-5 8.511380+0 1.852459-5 1.035142+1 1.456509-5 1.273503+1 1.137166-5 1.603245+1 8.703579-6 2.113489+1 6.372109-6 2.630268+1 5.005684-6 3.672823+1 3.490014-6 5.308844+1 2.363677-6 8.413951+1 1.465028-6 1.548817+2 7.844063-7 3.090295+2 3.898542-7 6.165950+2 1.945344-7 4.897788+3 2.440097-8 1.000000+5 1.194400-9 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 8.129400-4 3.226100-4 1.000000+5 3.226100-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 8.129400-4 2.914300-7 1.000000+5 2.914300-7 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 8.129400-4 4.900386-4 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 7.672900-4 3.405715+5 7.950000-4 3.522121+5 8.350000-4 3.618495+5 8.609938-4 3.643816+5 8.912509-4 3.629903+5 9.332543-4 3.583017+5 9.850000-4 3.501036+5 1.035142-3 3.403882+5 1.090000-3 3.285258+5 1.161449-3 3.120209+5 1.230269-3 2.957346+5 1.303167-3 2.785085+5 1.380384-3 2.607232+5 1.479108-3 2.392128+5 1.570000-3 2.206170+5 1.701200-3 1.966161+5 1.800000-3 1.803780+5 1.927525-3 1.612881+5 2.137962-3 1.349376+5 2.300000-3 1.182408+5 2.500000-3 1.008504+5 2.722701-3 8.522214+4 2.951209-3 7.219124+4 3.273407-3 5.784883+4 3.548134-3 4.838385+4 3.935501-3 3.814958+4 4.300000-3 3.092508+4 4.800000-3 2.362770+4 5.248075-3 1.885911+4 5.821032-3 1.441988+4 6.531306-3 1.060128+4 7.161434-3 8.235156+3 7.943282-3 6.159334+3 9.015711-3 4.277257+3 1.023293-2 2.940632+3 1.161449-2 2.002383+3 1.318257-2 1.350826+3 1.500000-2 8.959140+2 1.698244-2 5.986780+2 1.905461-2 4.090466+2 2.137962-2 2.776854+2 2.398833-2 1.873116+2 2.754229-2 1.158885+2 3.162278-2 7.114940+1 3.630781-2 4.336025+1 4.216965-2 2.516839+1 5.000000-2 1.344126+1 6.025596-2 6.706778+0 7.585776-2 2.819054+0 1.318257-1 3.488826-1 1.548817-1 1.907729-1 1.840772-1 1.007441-1 2.113489-1 6.081481-2 2.398833-1 3.856107-2 2.691535-1 2.566207-2 3.000060-1 1.760346-2 3.349654-1 1.209649-2 3.672823-1 8.896531-3 4.027170-1 6.587462-3 4.415705-1 4.914338-3 4.841724-1 3.699083-3 5.308844-1 2.805737-3 5.821032-1 2.143559-3 6.382635-1 1.649605-3 6.998420-1 1.278813-3 7.673615-1 9.991188-4 8.413951-1 7.861118-4 9.549926-1 5.704848-4 1.000000+0 5.102117-4 1.047129+0 4.593366-4 1.096478+0 4.162367-4 1.161449+0 3.708471-4 1.230269+0 3.326626-4 1.333521+0 2.876260-4 1.496236+0 2.358572-4 1.862087+0 1.604276-4 2.089296+0 1.317740-4 2.371374+0 1.069315-4 2.722701+0 8.582321-5 3.198895+0 6.699127-5 3.715352+0 5.362720-5 4.315191+0 4.324756-5 5.069907+0 3.456362-5 6.025596+0 2.739002-5 7.161434+0 2.186761-5 8.810489+0 1.683252-5 1.083927+1 1.306950-5 1.318257+1 1.035894-5 1.678804+1 7.834036-6 2.213095+1 5.742987-6 2.818383+1 4.404147-6 3.935501+1 3.075633-6 5.754399+1 2.061134-6 9.332543+1 1.249150-6 1.778279+2 6.466115-7 3.548134+2 3.217642-7 7.079458+2 1.606444-7 5.623413+3 2.016003-8 1.000000+5 1.133100-9 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 7.672900-4 3.190800-4 1.000000+5 3.190800-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 7.672900-4 9.408400-8 1.000000+5 9.408400-8 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 7.672900-4 4.481159-4 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 4.267500-4 5.553852+4 4.270000-4 5.609856+4 4.277000-4 5.704194+4 4.290000-4 5.820264+4 4.307000-4 5.930226+4 4.330000-4 6.043740+4 4.365158-4 6.161828+4 4.400000-4 6.264120+4 4.422000-4 6.365760+4 4.440000-4 6.496440+4 4.450000-4 6.594540+4 4.465000-4 6.782100+4 4.480000-4 7.025640+4 4.495000-4 7.332660+4 4.508000-4 7.655940+4 4.523000-4 8.100480+4 4.535000-4 8.516640+4 4.550000-4 9.118380+4 4.565000-4 9.819060+4 4.585000-4 1.091952+5 4.607000-4 1.237038+5 4.630000-4 1.417866+5 4.690000-4 2.038416+5 4.715000-4 2.359590+5 4.740000-4 2.713794+5 4.765000-4 3.096720+5 4.790000-4 3.505380+5 4.815000-4 3.934878+5 4.841724-4 4.415005+5 4.865000-4 4.847430+5 4.890000-4 5.325156+5 4.923700-4 5.987786+5 4.954502-4 6.607330+5 4.990000-4 7.329840+5 5.020000-4 7.942920+5 5.050000-4 8.548500+5 5.080000-4 9.141600+5 5.110000-4 9.716460+5 5.135000-4 1.017864+6 5.170000-4 1.079520+6 5.200000-4 1.129458+6 5.245000-4 1.199076+6 5.280000-4 1.249110+6 5.320000-4 1.302036+6 5.370318-4 1.362800+6 5.400000-4 1.395558+6 5.450000-4 1.445676+6 5.500000-4 1.489722+6 5.560000-4 1.534656+6 5.623413-4 1.573639+6 5.690000-4 1.605312+6 5.760000-4 1.630602+6 5.850000-4 1.652688+6 5.956621-4 1.668360+6 6.050000-4 1.674546+6 6.165950-4 1.673483+6 6.313200-4 1.660999+6 6.500000-4 1.632750+6 6.700000-4 1.592712+6 6.930000-4 1.538916+6 7.161434-4 1.480190+6 7.413102-4 1.413954+6 7.762471-4 1.321233+6 8.128305-4 1.226646+6 8.511380-4 1.132155+6 9.000000-4 1.020252+6 9.549926-4 9.064388+5 1.015000-3 7.972740+5 1.083927-3 6.880192+5 1.174898-3 5.698785+5 1.244515-3 4.954351+5 1.333521-3 4.157959+5 1.462177-3 3.266006+5 1.570000-3 2.694090+5 1.717908-3 2.093649+5 1.883649-3 1.606968+5 2.070000-3 1.215144+5 2.290868-3 8.933077+4 2.511886-3 6.704436+4 2.754229-3 5.001797+4 3.054921-3 3.569679+4 3.388442-3 2.528695+4 3.758374-3 1.777712+4 4.168694-3 1.240929+4 4.650000-3 8.432340+3 5.248075-3 5.448791+3 5.956621-3 3.417433+3 6.760830-3 2.123349+3 7.673615-3 1.307242+3 8.709636-3 7.976649+2 9.800000-3 4.996356+2 1.096478-2 3.179511+2 1.244515-2 1.896247+2 1.412538-2 1.122737+2 1.621810-2 6.286948+1 1.862087-2 3.493894+1 2.113489-2 2.025635+1 2.454709-2 1.055439+1 2.884032-2 5.190018+0 3.467369-2 2.287650+0 4.315191-2 8.574279-1 8.128305-2 4.908717-2 1.396368-1 4.339405-3 1.548817-1 2.752768-3 1.717908-1 1.759135-3 1.927525-1 1.077779-3 2.187762-1 6.337848-4 2.483133-1 3.743831-4 2.786121-1 2.336294-4 3.235937-1 1.277959-4 3.548134-1 8.873381-5 3.890451-1 6.205431-5 4.216965-1 4.569302-5 4.518559-1 3.537020-5 4.897788-1 2.641280-5 5.308844-1 1.986162-5 5.754399-1 1.503888-5 6.237348-1 1.146461-5 6.760830-1 8.798448-6 7.328245-1 6.796985-6 8.035261-1 5.096073-6 8.413951-1 4.389415-6 8.810489-1 3.802595-6 9.225714-1 3.317451-6 9.549926-1 3.010788-6 9.885531-1 2.746705-6 1.023293+0 2.520157-6 1.059254+0 2.324674-6 1.109175+0 2.102685-6 1.161449+0 1.915594-6 1.230269+0 1.718954-6 1.318257+0 1.521315-6 1.513561+0 1.208683-6 1.927525+0 7.901752-7 2.162719+0 6.503057-7 2.454709+0 5.287754-7 2.818383+0 4.252007-7 3.311311+0 3.324832-7 3.845918+0 2.666148-7 4.466836+0 2.153696-7 5.308844+0 1.697088-7 6.309573+0 1.347601-7 7.585776+0 1.062254-7 9.225714+0 8.313429-8 1.148154+1 6.376562-8 1.445440+1 4.864417-8 1.819701+1 3.738387-8 2.426610+1 2.711189-8 3.388442+1 1.887069-8 4.841724+1 1.291348-8 7.585776+1 8.086403-9 1.348963+2 4.478574-9 2.600160+2 2.301498-9 5.188000+2 1.147708-9 4.120975+3 1.43839-10 1.000000+5 5.92390-12 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 4.267500-4 1.954300-4 1.000000+5 1.954300-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 4.267500-4 4.017900-8 1.000000+5 4.017900-8 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 4.267500-4 2.312798-4 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 4.146000-4 8.211840+4 4.170000-4 8.174720+4 4.195000-4 8.192080+4 4.255000-4 8.351120+4 4.280000-4 8.457040+4 4.300000-4 8.594640+4 4.317000-4 8.771920+4 4.332000-4 8.989520+4 4.344000-4 9.213040+4 4.355000-4 9.461760+4 4.370000-4 9.876320+4 4.385000-4 1.038688+5 4.400000-4 1.100368+5 4.415704-4 1.177435+5 4.430000-4 1.259736+5 4.445000-4 1.359648+5 4.465000-4 1.516344+5 4.485000-4 1.702232+5 4.515400-4 2.045492+5 4.570882-4 2.871343+5 4.600000-4 3.404440+5 4.623810-4 3.885581+5 4.640000-4 4.233264+5 4.665000-4 4.798584+5 4.690000-4 5.394160+5 4.715000-4 6.015088+5 4.740000-4 6.658296+5 4.765000-4 7.320568+5 4.790000-4 7.999096+5 4.815000-4 8.690800+5 4.841724-4 9.440578+5 4.871500-4 1.028246+6 4.900000-4 1.108704+6 4.930000-4 1.192448+6 4.965000-4 1.287736+6 5.000000-4 1.379280+6 5.030000-4 1.454032+6 5.060000-4 1.525160+6 5.100000-4 1.613864+6 5.135000-4 1.685904+6 5.188000-4 1.785533+6 5.230000-4 1.856864+6 5.280000-4 1.933464+6 5.320000-4 1.988536+6 5.380000-4 2.061016+6 5.450000-4 2.130456+6 5.500000-4 2.170672+6 5.580000-4 2.220376+6 5.650000-4 2.251464+6 5.760000-4 2.282464+6 5.850000-4 2.295624+6 5.956621-4 2.300134+6 6.095369-4 2.290130+6 6.237348-4 2.265726+6 6.430000-4 2.217440+6 6.683439-4 2.137725+6 6.930000-4 2.050096+6 7.244360-4 1.933099+6 7.585776-4 1.804524+6 8.000000-4 1.653976+6 8.500000-4 1.483360+6 9.000000-4 1.328448+6 9.549926-4 1.176773+6 1.000000-3 1.066016+6 1.070000-3 9.143920+5 1.161449-3 7.532992+5 1.230269-3 6.539522+5 1.318257-3 5.479713+5 1.428894-3 4.431296+5 1.548817-3 3.556763+5 1.698244-3 2.744740+5 1.850000-3 2.142432+5 2.041738-3 1.597493+5 2.220000-3 1.237720+5 2.483133-3 8.720663+4 2.722701-3 6.491116+4 3.019952-3 4.624426+4 3.349654-3 3.267248+4 3.672823-3 2.385152+4 4.120975-3 1.596539+4 4.677351-3 1.016216+4 5.308844-3 6.403230+3 6.000000-3 4.060000+3 6.760830-3 2.581029+3 7.585776-3 1.654478+3 8.511380-3 1.052706+3 9.660509-3 6.348726+2 1.096478-2 3.796119+2 1.230269-2 2.362167+2 1.412538-2 1.325718+2 1.603245-2 7.751280+1 1.840772-2 4.282580+1 2.089296-2 2.468811+1 2.398833-2 1.343824+1 2.786121-2 6.902791+0 3.311311-2 3.175020+0 4.027170-2 1.305875+0 5.248075-2 3.887399-1 8.128305-2 5.207560-2 1.188502-1 9.220573-3 1.396368-1 4.434568-3 1.548817-1 2.789054-3 1.717908-1 1.767789-3 1.905461-1 1.128622-3 2.162719-1 6.577186-4 2.398833-1 4.254186-4 2.630268-1 2.908396-4 2.851018-1 2.098448-4 3.126079-1 1.455600-4 3.427678-1 1.017511-4 3.758374-1 7.166824-5 4.073803-1 5.309882-5 4.415705-1 3.961860-5 4.786301-1 2.978453-5 5.188000-1 2.256142-5 5.559043-1 1.789459-5 6.025596-1 1.375870-5 6.531306-1 1.065981-5 7.161434-1 8.030321-6 7.762471-1 6.316411-6 8.317638-1 5.176248-6 9.120108-1 3.996137-6 9.549926-1 3.533594-6 9.885531-1 3.237986-6 1.023293+0 2.981809-6 1.071519+0 2.689355-6 1.122018+0 2.441469-6 1.188502+0 2.180194-6 1.273503+0 1.919541-6 1.380384+0 1.667027-6 1.513561+0 1.426313-6 1.883649+0 9.703592-7 2.113489+0 7.974744-7 2.398833+0 6.475788-7 2.754229+0 5.200905-7 3.235937+0 4.062099-7 3.758374+0 3.253594-7 4.365158+0 2.625347-7 5.128614+0 2.099279-7 6.095369+0 1.664378-7 7.244360+0 1.329407-7 8.912509+0 1.023816-7 1.109175+1 7.843287-8 1.380384+1 6.055996-8 1.737801+1 4.647736-8 2.317395+1 3.366473-8 3.198895+1 2.369304-8 4.518559+1 1.639109-8 6.918310+1 1.049818-8 1.188502+2 6.015274-9 2.317395+2 3.050933-9 4.623810+2 1.520659-9 1.840772+3 3.80426-10 1.000000+5 6.99100-12 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 4.146000-4 1.930400-4 1.000000+5 1.930400-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 4.146000-4 1.122000-7 1.000000+5 1.122000-7 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 4.146000-4 2.214478-4 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 3.362500-4 4.947851+4 4.315191-4 4.099550+4 4.786301-4 3.798825+4 5.128614-4 3.576352+4 6.025596-4 3.088178+4 6.531306-4 2.849588+4 7.500000-4 2.453960+4 8.317638-4 2.181298+4 9.332543-4 1.896039+4 1.059254-3 1.614901+4 1.216186-3 1.343278+4 1.380384-3 1.128011+4 1.650000-3 8.735080+3 2.000000-3 6.566500+3 2.426610-3 4.885173+3 2.951209-3 3.593645+3 3.589219-3 2.623677+3 4.315191-3 1.937951+3 5.188000-3 1.421216+3 6.237348-3 1.034603+3 7.413102-3 7.630674+2 8.912509-3 5.475702+2 1.071519-2 3.900663+2 1.288250-2 2.758953+2 1.548817-2 1.937243+2 1.862087-2 1.350045+2 2.238721-2 9.338046+1 2.691535-2 6.410053+1 3.235937-2 4.366112+1 3.890451-2 2.950584+1 4.677351-2 1.978191+1 5.623413-2 1.315744+1 6.760830-2 8.684514+0 8.128305-2 5.690729+0 1.000000-1 3.507980+0 1.244515-1 2.088204+0 1.584893-1 1.170037+0 2.570396-1 3.639254-1 3.198895-1 2.159327-1 3.845918-1 1.401103-1 4.518559-1 9.660596-2 5.188000-1 7.068542-2 6.025596-1 5.078713-2 6.998420-1 3.677545-2 8.128305-1 2.684612-2 9.225714-1 2.070265-2 1.047129+0 1.609251-2 1.230269+0 1.175086-2 1.396368+0 9.253234-3 1.566751+0 7.498431-3 1.778279+0 5.995908-3 2.065380+0 4.640001-3 2.344229+0 3.762777-3 2.691535+0 3.018084-3 3.126079+0 2.395921-3 3.630781+0 1.915677-3 4.216965+0 1.543166-3 4.954502+0 1.232070-3 5.888437+0 9.753399-4 7.000000+0 7.777200-4 8.511380+0 6.069331-4 1.035142+1 4.771981-4 1.273503+1 3.725798-4 1.603245+1 2.851674-4 2.113489+1 2.087766-4 2.630268+1 1.640025-4 3.672823+1 1.143470-4 5.308844+1 7.744499-5 8.511380+1 4.743279-5 1.584893+2 2.510573-5 3.162278+2 1.248005-5 6.309573+2 6.228138-6 5.011872+3 7.812939-7 1.000000+5 3.913400-8 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 3.362500-4 2.091400-4 1.000000+5 2.091400-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.362500-4 9.343300-9 1.000000+5 9.343300-9 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.362500-4 1.271007-4 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.729500-4 1.398282+5 2.830000-4 1.280998+5 2.860000-4 1.244634+5 2.900000-4 1.192922+5 2.970000-4 1.099916+5 3.090295-4 9.561509+4 3.328000-4 7.535800+4 3.370000-4 7.251340+4 3.600000-4 5.996160+4 3.801894-4 5.156489+4 3.935501-4 4.709472+4 4.100000-4 4.258860+4 4.265795-4 3.893925+4 4.430000-4 3.599060+4 4.623810-4 3.313153+4 4.850000-4 3.040980+4 5.080000-4 2.815300+4 5.308844-4 2.631342+4 5.559043-4 2.467075+4 5.888437-4 2.294176+4 6.309573-4 2.120518+4 6.839116-4 1.949070+4 7.585776-4 1.763712+4 1.059254-3 1.299703+4 1.202264-3 1.150729+4 1.380384-3 1.000195+4 1.584893-3 8.621616+3 1.800000-3 7.462140+3 2.041738-3 6.421071+3 2.317395-3 5.483213+3 2.630268-3 4.648908+3 3.019952-3 3.852588+3 3.427678-3 3.219147+3 3.935501-3 2.624849+3 4.500000-3 2.135680+3 5.128614-3 1.732522+3 5.821032-3 1.404185+3 6.606934-3 1.129678+3 7.413102-3 9.211475+2 8.413951-3 7.308919+2 9.549926-3 5.758713+2 1.083927-2 4.505820+2 1.230269-2 3.501119+2 1.396368-2 2.701885+2 1.584893-2 2.071028+2 1.819701-2 1.537830+2 2.089296-2 1.133074+2 2.398833-2 8.285129+1 2.754229-2 6.013708+1 3.162278-2 4.333741+1 3.672823-2 3.015377+1 4.265795-2 2.082183+1 5.011872-2 1.386389+1 5.888437-2 9.162217+0 7.000000-2 5.830340+0 8.413951-2 3.577929+0 1.059254-1 1.925787+0 2.113489-1 2.944569-1 2.630268-1 1.632621-1 3.126079-1 1.031606-1 3.672823-1 6.769658-2 4.216965-1 4.751182-2 4.841724-1 3.360151-2 5.495409-1 2.463977-2 6.165950-1 1.870963-2 6.918310-1 1.430505-2 7.762471-1 1.101633-2 8.709636-1 8.532553-3 9.440609-1 7.178525-3 1.023293+0 6.082521-3 1.148154+0 4.839209-3 1.273503+0 3.964714-3 1.428894+0 3.203117-3 1.659587+0 2.448329-3 1.905461+0 1.924687-3 2.162719+0 1.553480-3 2.454709+0 1.263148-3 2.818383+0 1.015772-3 3.311311+0 7.942946-4 3.845918+0 6.369309-4 4.466836+0 5.145021-4 5.308844+0 4.054203-4 6.309573+0 3.219331-4 7.585776+0 2.537662-4 9.225714+0 1.986002-4 1.148154+1 1.523335-4 1.445440+1 1.162068-4 1.800000+1 9.041500-5 2.400000+1 6.555700-5 3.349654+1 4.564257-5 4.786301+1 3.122624-5 7.498942+1 1.954928-5 1.348963+2 1.069940-5 2.600160+2 5.498143-6 5.188000+2 2.741763-6 4.120975+3 3.436347-7 1.000000+5 1.415200-8 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.729500-4 1.913200-4 1.000000+5 1.913200-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.729500-4 1.524100-8 1.000000+5 1.524100-8 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.729500-4 8.161476-5 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.125600-4 3.628402+5 2.350000-4 3.115560+5 2.454709-4 2.906706+5 2.600160-4 2.675434+5 2.917427-4 2.309423+5 3.090295-4 2.160152+5 3.429800-4 1.937374+5 4.677351-4 1.407935+5 5.370318-4 1.213169+5 6.095369-4 1.051040+5 6.918310-4 9.042730+4 7.852356-4 7.722674+4 8.912509-4 6.548777+4 1.023293-3 5.428155+4 1.174898-3 4.464629+4 1.350000-3 3.641220+4 1.548817-3 2.956157+4 1.800000-3 2.336324+4 2.089296-3 1.836382+4 2.426610-3 1.431770+4 2.818383-3 1.108089+4 3.235937-3 8.689796+3 3.715352-3 6.769924+3 4.300000-3 5.159320+3 4.954502-3 3.933916+3 5.688529-3 2.996929+3 6.456542-3 2.319826+3 7.413102-3 1.741538+3 8.413951-3 1.329852+3 9.660509-3 9.835612+2 1.096478-2 7.409808+2 1.258925-2 5.399242+2 1.445440-2 3.903407+2 1.659587-2 2.799873+2 1.905461-2 1.992881+2 2.187762-2 1.407791+2 2.511886-2 9.869530+1 2.884032-2 6.867962+1 3.311311-2 4.744193+1 3.845918-2 3.152567+1 4.466836-2 2.078517+1 5.188000-2 1.360362+1 6.095369-2 8.551954+0 7.244360-2 5.155735+0 8.810489-2 2.881883+0 1.083927-1 1.545191+0 1.927525-1 2.697379-1 2.371374-1 1.446934-1 2.786121-1 8.971449-2 3.235937-1 5.796820-2 3.715352-1 3.902660-2 4.216965-1 2.735565-2 4.731513-1 1.994344-2 5.248075-1 1.510613-2 5.888437-1 1.118031-2 6.606935-1 8.338579-3 7.328245-1 6.448489-3 8.609938-1 4.368450-3 9.225714-1 3.719022-3 9.772372-1 3.270045-3 1.047129+0 2.823851-3 1.135011+0 2.399355-3 1.230269+0 2.053557-3 1.348963+0 1.731460-3 1.698244+0 1.148347-3 1.949845+0 9.033588-4 2.213095+0 7.300759-4 2.511886+0 5.944087-4 2.884032+0 4.785788-4 3.349654+0 3.811604-4 3.890451+0 3.058182-4 4.518559+0 2.471677-4 5.370318+0 1.948663-4 6.382635+0 1.548156-4 7.673615+0 1.220947-4 9.332543+0 9.559996-5 1.161449+1 7.335651-5 1.462177+1 5.598600-5 1.840772+1 4.303912-5 2.454709+1 3.122469-5 3.427678+1 2.173914-5 4.897788+1 1.488060-5 7.673615+1 9.319881-6 1.380384+2 5.102313-6 2.660725+2 2.622667-6 5.308844+2 1.307961-6 4.216965+3 1.639542-7 1.000000+5 6.909300-9 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.125600-4 1.270700-4 1.000000+5 1.270700-4 1 93000 7 7 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.125600-4 6.566000-9 1.000000+5 6.566000-9 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.125600-4 8.548343-5 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.184800-4 7.290602+5 1.186000-4 7.464160+5 1.192000-4 8.238080+5 1.205000-4 1.025432+6 1.212000-4 1.146564+6 1.218000-4 1.254088+6 1.225000-4 1.380540+6 1.230269-4 1.474064+6 1.235000-4 1.555512+6 1.240000-4 1.637804+6 1.245000-4 1.715372+6 1.252000-4 1.814080+6 1.257000-4 1.876800+6 1.262000-4 1.932460+6 1.267000-4 1.980852+6 1.273503-4 2.032779+6 1.280000-4 2.072444+6 1.287000-4 2.102440+6 1.295000-4 2.122188+6 1.303167-4 2.127941+6 1.310000-4 2.123504+6 1.320000-4 2.104620+6 1.330000-4 2.074516+6 1.345000-4 2.015252+6 1.364583-4 1.924110+6 1.390000-4 1.798972+6 1.428894-4 1.614167+6 1.480000-4 1.396744+6 1.531087-4 1.205701+6 1.580000-4 1.043864+6 1.635000-4 8.853560+5 1.862087-4 4.624875+5 1.980000-4 3.429376+5 2.080000-4 2.714664+5 2.168100-4 2.244716+5 2.240000-4 1.945892+5 2.300000-4 1.743220+5 2.350000-4 1.601304+5 2.400000-4 1.480232+5 2.454709-4 1.368162+5 2.511886-4 1.270351+5 2.570396-4 1.187427+5 2.630268-4 1.117580+5 2.691535-4 1.059167+5 2.754229-4 1.010714+5 2.818383-4 9.709040+4 2.884032-4 9.385825+4 2.951209-4 9.127272+4 3.030000-4 8.899480+4 3.100000-4 8.752400+4 3.200000-4 8.612880+4 3.320000-4 8.527520+4 3.430000-4 8.504000+4 3.600000-4 8.529360+4 4.365158-4 8.811239+4 4.677351-4 8.859233+4 5.000000-4 8.840640+4 5.308844-4 8.767050+4 5.650000-4 8.635640+4 6.025596-4 8.441290+4 6.456542-4 8.173299+4 6.918310-4 7.855498+4 7.413102-4 7.494231+4 8.000000-4 7.058120+4 8.609938-4 6.613529+4 9.332543-4 6.108427+4 1.011579-3 5.599692+4 1.096478-3 5.094654+4 1.190000-3 4.597080+4 1.300000-3 4.082080+4 1.412538-3 3.627635+4 1.566751-3 3.103069+4 1.717908-3 2.679761+4 1.862087-3 2.344076+4 2.070000-3 1.950800+4 2.300000-3 1.610968+4 2.570396-3 1.304554+4 2.851018-3 1.062814+4 3.162278-3 8.591503+3 3.507519-3 6.890502+3 3.890451-3 5.483034+3 4.315191-3 4.330167+3 4.786301-3 3.394241+3 5.308844-3 2.640380+3 5.888437-3 2.038695+3 6.531306-3 1.562941+3 7.244360-3 1.189952+3 8.035261-3 8.998567+2 9.000000-3 6.577849+2 1.000000-2 4.882206+2 1.122018-2 3.498585+2 1.258925-2 2.488254+2 1.412538-2 1.756844+2 1.584893-2 1.231754+2 1.798871-2 8.269932+1 2.041738-2 5.508771+1 2.317395-2 3.641458+1 2.630268-2 2.389711+1 3.019952-2 1.498025+1 3.507519-2 8.958313+0 4.073803-2 5.316999+0 4.841724-2 2.888900+0 5.821032-2 1.494120+0 7.328245-2 6.496061-1 1.380384-1 6.468753-2 1.698244-1 3.060547-2 2.018366-1 1.651908-2 2.344229-1 9.744400-3 2.691535-1 6.029168-3 3.054921-1 3.910173-3 3.427678-1 2.655211-3 3.845918-1 1.816002-3 4.315191-1 1.251030-3 4.731513-1 9.348259-4 5.069907-1 7.552900-4 5.559043-1 5.731185-4 6.382635-1 3.827451-4 7.079458-1 2.846061-4 8.128305-1 1.937648-4 8.709636-1 1.600442-4 9.225714-1 1.374804-4 9.660509-1 1.225247-4 1.011579+0 1.099620-4 1.059254+0 9.933018-5 1.122018+0 8.809716-5 1.188502+0 7.866211-5 1.273503+0 6.915514-5 1.380384+0 5.993247-5 1.531087+0 5.010878-5 1.862087+0 3.549422-5 2.089296+0 2.915635-5 2.371374+0 2.366024-5 2.722701+0 1.898960-5 3.198895+0 1.482244-5 3.715352+0 1.186534-5 4.315191+0 9.568961-6 5.069907+0 7.647787-6 6.025596+0 6.060412-6 7.161434+0 4.838569-6 8.810489+0 3.724516-6 1.083927+1 2.891772-6 1.333521+1 2.261322-6 1.698244+1 1.710908-6 2.238721+1 1.254573-6 2.917427+1 9.386178-7 4.120975+1 6.480307-7 6.095369+1 4.294721-7 1.000000+2 2.574700-7 1.927525+2 1.318421-7 3.845918+2 6.564383-8 7.673615+2 3.278263-8 1.216186+4 2.061903-9 1.000000+5 2.50710-10 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.184800-4 1.184800-4 1.000000+5 1.184800-4 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.184800-4 0.0 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 1.094700-4 1.169677+6 1.096478-4 1.215015+6 1.098000-4 1.252746+6 1.107000-4 1.482594+6 1.113000-4 1.646730+6 1.118500-4 1.802256+6 1.124000-4 1.959348+6 1.129500-4 2.115690+6 1.135011-4 2.269570+6 1.141000-4 2.430714+6 1.146000-4 2.558442+6 1.152000-4 2.701056+6 1.157700-4 2.824041+6 1.163000-4 2.926248+6 1.169000-4 3.026754+6 1.175000-4 3.110664+6 1.182500-4 3.192111+6 1.190000-4 3.248550+6 1.198000-4 3.283218+6 1.204000-4 3.293814+6 1.211000-4 3.291426+6 1.219000-4 3.272238+6 1.230269-4 3.221615+6 1.242800-4 3.142168+6 1.258925-4 3.018377+6 1.278000-4 2.858046+6 1.303167-4 2.644715+6 1.350000-4 2.279586+6 1.400000-4 1.945512+6 1.450000-4 1.659150+6 1.500000-4 1.412190+6 1.560000-4 1.162680+6 1.720000-4 7.079580+5 1.800000-4 5.651292+5 1.880000-4 4.588686+5 1.950000-4 3.878304+5 2.018366-4 3.333958+5 2.080000-4 2.942826+5 2.137962-4 2.644380+5 2.190000-4 2.423676+5 2.240000-4 2.246838+5 2.290868-4 2.096853+5 2.345100-4 1.964986+5 2.400000-4 1.856226+5 2.454709-4 1.768492+5 2.511886-4 1.695100+5 2.570396-4 1.635958+5 2.637900-4 1.583951+5 2.710000-4 1.543602+5 2.786121-4 1.514131+5 2.880000-4 1.491624+5 2.985383-4 1.479368+5 3.100000-4 1.476618+5 3.280000-4 1.485372+5 3.845918-4 1.532532+5 4.120975-4 1.544050+5 4.365158-4 1.545304+5 4.623810-4 1.537702+5 4.897788-4 1.521197+5 5.188000-4 1.496226+5 5.500000-4 1.462680+5 5.888437-4 1.414126+5 6.309573-4 1.356430+5 6.760830-4 1.291707+5 7.300000-4 1.213806+5 7.852356-4 1.135722+5 8.511380-4 1.047221+5 9.225714-4 9.581582+4 1.000000-3 8.704440+4 1.083927-3 7.852830+4 1.190000-3 6.916260+4 1.303167-3 6.061579+4 1.412538-3 5.361188+4 1.570000-3 4.525326+4 1.737801-3 3.811484+4 1.905461-3 3.239010+4 2.070000-3 2.783424+4 2.290868-3 2.295893+4 2.540973-3 1.871007+4 2.818383-3 1.512894+4 3.140000-3 1.202214+4 3.467369-3 9.663344+3 3.845918-3 7.635500+3 4.265795-3 5.986414+3 4.731513-3 4.657385+3 5.248075-3 3.596467+3 5.821032-3 2.756868+3 6.456542-3 2.097890+3 7.161434-3 1.585127+3 8.000000-3 1.165896+3 8.912509-3 8.576543+2 9.885531-3 6.345367+2 1.109175-2 4.505534+2 1.244515-2 3.174322+2 1.396368-2 2.219595+2 1.566751-2 1.540698+2 1.757924-2 1.061899+2 1.972423-2 7.268834+1 2.213095-2 4.942502+1 2.511886-2 3.209060+1 2.851018-2 2.068672+1 3.273407-2 1.271900+1 3.758374-2 7.762887+0 4.265795-2 4.904068+0 5.011872-2 2.710545+0 6.025596-2 1.365099+0 7.852356-2 5.049418-1 1.244515-1 8.905373-2 1.513561-1 4.281882-2 1.778279-1 2.358748-2 2.065380-1 1.365992-2 2.344229-1 8.662635-3 2.630268-1 5.764487-3 2.951209-1 3.864361-3 3.273407-1 2.715771-3 3.630781-1 1.922607-3 4.027170-1 1.371814-3 4.415705-1 1.023101-3 4.786301-1 7.964740-4 5.128614-1 6.461011-4 5.623413-1 4.927329-4 6.237348-1 3.664050-4 6.839117-1 2.835030-4 7.498942-1 2.209309-4 8.609938-1 1.532832-4 9.120108-1 1.324098-4 9.660509-1 1.152184-4 1.011579+0 1.037518-4 1.071519+0 9.167989-5 1.135011+0 8.152929-5 1.216186+0 7.132145-5 1.318257+0 6.147952-5 1.840772+0 3.413699-5 2.089296+0 2.749102-5 2.371374+0 2.230877-5 2.722701+0 1.790466-5 3.198895+0 1.397551-5 3.715352+0 1.118751-5 4.315191+0 9.022285-6 5.069907+0 7.210792-6 6.025596+0 5.714169-6 7.161434+0 4.562104-6 8.810489+0 3.511779-6 1.083927+1 2.726564-6 1.333521+1 2.132120-6 1.698244+1 1.613177-6 2.264644+1 1.167801-6 3.019952+1 8.525031-7 4.265795+1 5.890353-7 6.382635+1 3.859804-7 1.059254+2 2.288399-7 2.065380+2 1.159025-7 4.120975+2 5.773490-8 1.640590+3 1.443414-8 1.000000+5 2.36390-10 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 1.094700-4 1.094700-4 1.000000+5 1.094700-4 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 1.094700-4 0.0 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.500000+1 0.0 0.0 0.0 1.012000-5 2.301091+5 1.035142-5 2.292332+5 1.060000-5 2.292057+5 1.090000-5 2.304109+5 1.122018-5 2.331102+5 1.150000-5 2.367554+5 1.175000-5 2.409366+5 1.210000-5 2.483080+5 1.245000-5 2.575069+5 1.280000-5 2.684201+5 1.320000-5 2.829779+5 1.364583-5 3.017982+5 1.412538-5 3.250992+5 1.470000-5 3.570592+5 1.531087-5 3.957877+5 1.610000-5 4.529034+5 1.698244-5 5.263659+5 1.840772-5 6.661150+5 2.162719-5 1.074977+6 2.317395-5 1.311992+6 2.454709-5 1.538650+6 2.580000-5 1.754199+6 2.691535-5 1.950404+6 2.818383-5 2.174232+6 2.917427-5 2.346025+6 3.040000-5 2.552064+6 3.162278-5 2.748050+6 3.300000-5 2.955436+6 3.450000-5 3.164168+6 3.589219-5 3.340982+6 3.758374-5 3.533731+6 3.950000-5 3.725375+6 4.168694-5 3.914267+6 4.400000-5 4.081450+6 4.623810-5 4.211137+6 4.850000-5 4.310771+6 5.080000-5 4.378674+6 5.300000-5 4.409171+6 5.500000-5 4.406720+6 5.688529-5 4.379232+6 5.900000-5 4.321451+6 6.095369-5 4.244603+6 6.309573-5 4.137425+6 6.531306-5 4.006012+6 6.760830-5 3.853999+6 7.000000-5 3.683666+6 7.244360-5 3.501286+6 7.500000-5 3.305648+6 7.800000-5 3.075162+6 8.035261-5 2.896453+6 8.317638-5 2.685829+6 8.609938-5 2.473530+6 8.912509-5 2.261718+6 9.225714-5 2.053071+6 9.500000-5 1.879633+6 9.800000-5 1.700224+6 1.011579-4 1.524021+6 1.040000-4 1.377283+6 1.071519-4 1.227549+6 1.100000-4 1.103495+6 1.135011-4 9.651358+5 1.174898-4 8.258321+5 1.208500-4 7.224358+5 1.244515-4 6.242173+5 1.280000-4 5.389573+5 1.318257-4 4.586899+5 1.350000-4 4.003176+5 1.380384-4 3.506286+5 1.415000-4 3.006008+5 1.450000-4 2.564475+5 1.480000-4 2.232503+5 1.513561-4 1.906514+5 1.548817-4 1.609594+5 1.580000-4 1.381327+5 1.610000-4 1.188939+5 1.640590-4 1.017487+5 1.670000-4 8.736948+4 1.705000-4 7.262761+4 1.740000-4 6.013815+4 1.770000-4 5.100578+4 1.800000-4 4.315982+4 1.840772-4 3.430666+4 1.953400-4 1.833719+4 1.980000-4 1.598270+4 2.000000-4 1.449718+4 2.020000-4 1.323408+4 2.040000-4 1.217497+4 2.055000-4 1.150412+4 2.070000-4 1.093150+4 2.085000-4 1.045071+4 2.100000-4 1.005577+4 2.115000-4 9.741041+3 2.128000-4 9.529018+3 2.142000-4 9.359852+3 2.155000-4 9.254389+3 2.170000-4 9.190566+3 2.185000-4 9.184652+3 2.198000-4 9.223240+3 2.213095-4 9.315531+3 2.230900-4 9.485192+3 2.250000-4 9.734219+3 2.270000-4 1.006237+4 2.290868-4 1.047080+4 2.317395-4 1.107591+4 2.350000-4 1.193226+4 2.483133-4 1.630241+4 2.540973-4 1.845780+4 2.580000-4 1.994834+4 2.635000-4 2.206086+4 2.691535-4 2.421820+4 2.750000-4 2.641138+4 2.800000-4 2.823727+4 2.851018-4 3.003310+4 2.917427-4 3.225134+4 2.985383-4 3.438272+4 3.054921-4 3.641927+4 3.126079-4 3.835284+4 3.198895-4 4.016802+4 3.273407-4 4.184937+4 3.349654-4 4.338425+4 3.429800-4 4.479780+4 3.507519-4 4.597888+4 3.589219-4 4.702835+4 3.715352-4 4.828959+4 3.845918-4 4.918408+4 3.981072-4 4.973257+4 4.137700-4 5.014548+4 4.265795-4 5.022134+4 4.415704-4 5.003728+4 4.570882-4 4.958969+4 4.731513-4 4.890629+4 4.954502-4 4.768059+4 5.188000-4 4.622207+4 5.432503-4 4.453184+4 5.688529-4 4.264459+4 6.025596-4 4.008569+4 6.382635-4 3.740187+4 6.760830-4 3.464273+4 7.161434-4 3.187214+4 7.585776-4 2.914128+4 8.035261-4 2.648695+4 8.609938-4 2.344816+4 9.225714-4 2.060525+4 9.885531-4 1.798286+4 1.059254-3 1.559317+4 1.135011-3 1.343794+4 1.230269-3 1.121327+4 1.333521-3 9.286126+3 1.445440-3 7.635405+3 1.584893-3 6.057662+3 1.717908-3 4.914193+3 1.883649-3 3.840297+3 2.065380-3 2.977930+3 2.264644-3 2.292285+3 2.483133-3 1.751755+3 2.722701-3 1.329349+3 3.000000-3 9.871928+2 3.311311-3 7.236289+2 3.630781-3 5.378825+2 4.000000-3 3.910024+2 4.415704-3 2.801815+2 4.841724-3 2.037776+2 5.370318-3 1.413027+2 6.000000-3 9.472993+1 6.683439-3 6.383302+1 7.498942-3 4.156681+1 8.317638-3 2.805872+1 9.332543-3 1.799279+1 1.047129-2 1.145097+1 1.174898-2 7.234850+0 1.318257-2 4.539556+0 1.496236-2 2.698114+0 1.698244-2 1.591502+0 1.927525-2 9.321924-1 2.213095-2 5.162565-1 2.570396-2 2.699591-1 3.019952-2 1.332230-1 3.589219-2 6.202323-2 4.415704-2 2.458376-2 9.015711-2 9.916453-4 1.122019-1 3.730653-4 1.348963-1 1.647628-4 1.513561-1 9.943758-5 1.717908-1 5.754573-5 1.949845-1 3.355904-5 2.238721-1 1.876111-5 2.511886-1 1.163429-5 2.818383-1 7.267783-6 3.126079-1 4.792230-6 3.467369-1 3.182920-6 3.845918-1 2.130533-6 4.265795-1 1.437534-6 4.677351-1 1.021094-6 5.011872-1 7.944114-7 5.432503-1 5.986112-7 5.888437-1 4.544384-7 6.382635-1 3.473577-7 6.998420-1 2.574626-7 7.673615-1 1.922240-7 8.000000-1 1.687900-7 8.413951-1 1.427228-7 8.810489-1 1.232012-7 9.225714-1 1.071227-7 9.549926-1 9.699922-8 9.885531-1 8.831512-8 1.023293+0 8.089851-8 1.059254+0 7.453817-8 1.096478+0 6.903585-8 1.148154+0 6.276687-8 1.202264+0 5.745371-8 1.288250+0 5.076184-8 1.396368+0 4.431375-8 1.513561+0 3.883949-8 1.927525+0 2.539059-8 2.162719+0 2.089554-8 2.454709+0 1.699077-8 2.818383+0 1.366283-8 3.311311+0 1.068360-8 3.845918+0 8.567020-9 4.466836+0 6.920329-9 5.308844+0 5.453085-9 6.309573+0 4.330080-9 7.585776+0 3.413310-9 9.225714+0 2.671339-9 1.148154+1 2.048940-9 1.445440+1 1.563050-9 1.819701+1 1.201215-9 2.426610+1 8.71154-10 3.388442+1 6.06359-10 4.841724+1 4.14951-10 7.585776+1 2.59841-10 1.348963+2 1.43904-10 2.600160+2 7.39523-11 5.188000+2 3.68780-11 4.120975+3 4.62199-12 1.000000+5 1.90350-13 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.500000+1 0.0 0.0 0.0 1.012000-5 1.012000-5 1.000000+5 1.012000-5 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.500000+1 0.0 0.0 0.0 1.012000-5 0.0 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.600000+1 0.0 0.0 0.0 9.030000-6 3.810986+5 9.120108-6 3.787280+5 9.440609-6 3.747115+5 9.772372-6 3.737525+5 1.010000-5 3.761227+5 1.035142-5 3.799717+5 1.060000-5 3.855878+5 1.085000-5 3.928358+5 1.120000-5 4.056907+5 1.150000-5 4.191535+5 1.190000-5 4.404312+5 1.230269-5 4.654946+5 1.273503-5 4.962571+5 1.318257-5 5.322107+5 1.365000-5 5.740744+5 1.428894-5 6.381994+5 1.513561-5 7.351178+5 1.621810-5 8.781455+5 2.070000-5 1.682909+6 2.238721-5 2.060764+6 2.378500-5 2.393550+6 2.511886-5 2.719478+6 2.630268-5 3.010040+6 2.754229-5 3.309135+6 2.884032-5 3.611846+6 3.000000-5 3.868564+6 3.126079-5 4.129335+6 3.273407-5 4.408487+6 3.427678-5 4.671980+6 3.589219-5 4.916548+6 3.758374-5 5.139155+6 3.950000-5 5.355190+6 4.168694-5 5.562075+6 4.400000-5 5.735852+6 4.623810-5 5.859683+6 4.850000-5 5.942480+6 5.080000-5 5.980423+6 5.300000-5 5.969497+6 5.500000-5 5.920857+6 5.688529-5 5.844185+6 5.900000-5 5.725086+6 6.095369-5 5.586590+6 6.309573-5 5.408924+6 6.531306-5 5.204312+6 6.760830-5 4.977255+6 7.000000-5 4.729317+6 7.244360-5 4.469447+6 7.500000-5 4.196792+6 7.800000-5 3.881410+6 8.035261-5 3.639347+6 8.317638-5 3.355776+6 8.609938-5 3.073674+6 8.912509-5 2.796075+6 9.225714-5 2.523941+6 9.500000-5 2.298944+6 9.800000-5 2.068826+6 1.011579-4 1.845387+6 1.040000-4 1.660127+6 1.071519-4 1.471669+6 1.100000-4 1.316772+6 1.135011-4 1.145717+6 1.170000-4 9.941581+5 1.205000-4 8.599732+5 1.240000-4 7.418889+5 1.273503-4 6.426127+5 1.303167-4 5.646563+5 1.333521-4 4.934636+5 1.365000-4 4.279741+5 1.400000-4 3.642439+5 1.430000-4 3.164383+5 1.465000-4 2.676452+5 1.500000-4 2.254814+5 1.531087-4 1.930019+5 1.560000-4 1.665688+5 1.590000-4 1.425718+5 1.621810-4 1.204947+5 1.650000-4 1.034935+5 1.680000-4 8.775984+4 1.705000-4 7.632649+4 1.740000-4 6.259943+4 1.778279-4 5.024040+4 1.820000-4 3.944861+4 1.890000-4 2.645938+4 1.915000-4 2.310807+4 1.940000-4 2.032565+4 1.957000-4 1.872742+4 1.973000-4 1.742237+4 1.990000-4 1.623208+4 2.007000-4 1.522964+4 2.023000-4 1.444541+4 2.035000-4 1.395200+4 2.050000-4 1.344226+4 2.065380-4 1.303541+4 2.080000-4 1.275006+4 2.095000-4 1.255296+4 2.107000-4 1.246055+4 2.123000-4 1.242144+4 2.140000-4 1.247765+4 2.158000-4 1.263776+4 2.173000-4 1.284361+4 2.190000-4 1.314967+4 2.213095-4 1.367740+4 2.240000-4 1.443574+4 2.265000-4 1.526052+4 2.300000-4 1.657990+4 2.420000-4 2.211205+4 2.460000-4 2.415813+4 2.511886-4 2.687736+4 2.550000-4 2.889937+4 2.600160-4 3.156304+4 2.650000-4 3.417456+4 2.703130-4 3.688290+4 2.754229-4 3.940271+4 2.818383-4 4.243074+4 2.884032-4 4.534840+4 2.951209-4 4.812453+4 3.019952-4 5.076094+4 3.090295-4 5.329867+4 3.162278-4 5.565850+4 3.235937-4 5.782114+4 3.311311-4 5.977140+4 3.388442-4 6.149835+4 3.467369-4 6.299533+4 3.548134-4 6.425984+4 3.672823-4 6.572497+4 3.801894-4 6.669119+4 3.935501-4 6.719402+4 4.120975-4 6.746766+4 4.265795-4 6.731978+4 4.415704-4 6.681114+4 4.570882-4 6.597532+4 4.786301-4 6.441687+4 5.011872-4 6.244262+4 5.248075-4 6.021933+4 5.495409-4 5.772156+4 5.754399-4 5.501481+4 6.095369-4 5.143997+4 6.456542-4 4.775791+4 6.839116-4 4.403121+4 7.244360-4 4.033571+4 7.673615-4 3.672789+4 8.222426-4 3.257608+4 8.810489-4 2.867308+4 9.440609-4 2.505738+4 1.011579-3 2.175120+4 1.083927-3 1.876719+4 1.174898-3 1.568193+4 1.273503-3 1.300409+4 1.380384-3 1.070567+4 1.513561-3 8.502512+3 1.640590-3 6.905258+3 1.778279-3 5.572550+3 1.949845-3 4.328887+3 2.137962-3 3.337676+3 2.344229-3 2.554660+3 2.570396-3 1.941395+3 2.818383-3 1.465305+3 3.090295-3 1.098662+3 3.388442-3 8.182766+2 3.693000-3 6.176356+2 3.758374-3 5.849197+2 3.845918-3 5.413704+2 3.890451-3 5.192682+2 4.073803-3 4.337993+2 4.265795-3 3.654766+2 4.466836-3 3.100044+2 4.731513-3 2.542116+2 5.128614-3 1.942476+2 5.405000-3 1.633964+2 5.956621-3 1.149508+2 6.606934-3 7.845451+1 7.328245-3 5.317284+1 8.128305-3 3.579682+1 9.120108-3 2.288897+1 1.023293-2 1.452257+1 1.148154-2 9.145574+0 1.288250-2 5.718411+0 1.462177-2 3.384749+0 1.659587-2 1.987646+0 1.883649-2 1.158622+0 2.162719-2 6.380155-1 2.483133-2 3.486363-1 2.884032-2 1.797751-1 3.388442-2 8.742355-2 4.073803-2 3.805541-2 5.188000-2 1.266342-2 9.120108-2 9.617855-4 1.174898-1 3.040166-4 1.348963-1 1.632917-4 1.513561-1 9.788898-5 1.717908-1 5.625588-5 1.927525-1 3.423930-5 2.187762-1 1.996340-5 2.426610-1 1.292897-5 2.660725-1 8.847123-6 2.917427-1 6.099486-6 3.198895-1 4.235407-6 3.507519-1 2.962867-6 3.801894-1 2.181498-6 4.216965-1 1.483904-6 4.518559-1 1.154979-6 4.841724-1 9.052095-7 5.069907-1 7.733597-7 5.432503-1 6.160163-7 5.888437-1 4.761166-7 6.606935-1 3.311192-7 7.161434-1 2.582933-7 7.762471-1 2.028201-7 8.511380-1 1.544054-7 8.912509-1 1.353688-7 9.332543-1 1.193789-7 9.772372-1 1.060241-7 1.011579+0 9.752504-8 1.059254+0 8.783861-8 1.109175+0 7.963928-8 1.174898+0 7.101124-8 1.250000+0 6.325300-8 1.348963+0 5.524001-8 1.513561+0 4.540606-8 1.883649+0 3.089059-8 2.113489+0 2.539010-8 2.398833+0 2.061839-8 2.754229+0 1.655871-8 3.235937+0 1.293251-8 3.758374+0 1.035846-8 4.365158+0 8.358250-9 5.128614+0 6.683388-9 6.095369+0 5.298906-9 7.244360+0 4.232603-9 8.912509+0 3.259612-9 1.109175+1 2.497042-9 1.380384+1 1.928046-9 1.757924+1 1.460547-9 2.344229+1 1.058158-9 3.235937+1 7.45016-10 4.570882+1 5.15545-10 6.998420+1 3.30266-10 1.202264+2 1.89266-10 2.344229+2 9.60084-11 4.677351+2 4.78562-11 1.862087+3 1.19730-11 1.000000+5 2.22570-13 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.600000+1 0.0 0.0 0.0 9.030000-6 9.030000-6 1.000000+5 9.030000-6 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.600000+1 0.0 0.0 0.0 9.030000-6 0.0 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.439000-5 3.416380+5 5.495409-5 3.295221+5 5.623413-5 3.017552+5 5.920000-5 2.465100+5 6.165950-5 2.115740+5 6.382635-5 1.872396+5 6.580000-5 1.692220+5 6.800000-5 1.527658+5 7.000000-5 1.404156+5 7.244360-5 1.279418+5 7.500000-5 1.172506+5 7.800000-5 1.069932+5 8.150000-5 9.730400+4 8.511380-5 8.915872+4 9.000000-5 8.030200+4 9.500000-5 7.310220+4 1.000000-4 6.731080+4 1.047129-4 6.285778+4 1.100000-4 5.877060+4 1.161449-4 5.493329+4 1.244515-4 5.082547+4 1.380384-4 4.568172+4 2.137962-4 2.954565+4 2.426610-4 2.585088+4 2.917427-4 2.110410+4 3.311311-4 1.824396+4 4.000000-4 1.453802+4 4.623810-4 1.213075+4 5.559043-4 9.557378+3 6.606934-4 7.579281+3 7.852356-4 5.965527+3 9.332543-4 4.660295+3 1.109175-3 3.615560+3 1.333521-3 2.738515+3 1.640590-3 1.987892+3 2.089296-3 1.356427+3 2.660725-3 9.184171+2 3.427678-3 6.054822+2 4.265795-3 4.194573+2 5.248075-3 2.941246+2 6.456542-3 2.046292+2 7.852356-3 1.441496+2 9.332543-3 1.051061+2 1.122018-2 7.440218+1 1.380384-2 5.004176+1 1.698244-2 3.340080+1 2.137962-2 2.117621+1 2.570396-2 1.460252+1 3.019952-2 1.048005+1 3.589219-2 7.279195+0 4.265795-2 5.018874+0 5.128614-2 3.349628+0 6.165950-2 2.218563+0 7.498942-2 1.420845+0 8.912509-2 9.521451-1 1.109175-1 5.688387-1 1.445440-1 3.023757-1 2.600160-1 7.327883-2 3.235937-1 4.349941-2 3.890451-1 2.823714-2 4.570882-1 1.947888-2 5.248075-1 1.426070-2 6.095369-1 1.025230-2 6.998420-1 7.612701-3 8.128305-1 5.557347-3 9.225714-1 4.285558-3 1.047129+0 3.331588-3 1.230269+0 2.432661-3 1.380384+0 1.957034-3 1.548817+0 1.584720-3 1.757924+0 1.266261-3 2.018366+0 9.986953-4 2.290868+0 8.088823-4 2.630268+0 6.479064-4 3.054921+0 5.137106-4 3.548134+0 4.102719-4 4.120975+0 3.301197-4 4.841724+0 2.632829-4 5.754399+0 2.082104-4 6.839116+0 1.659080-4 8.317638+0 1.293254-4 1.000000+1 1.030200-4 1.230269+1 8.033330-5 1.548817+1 6.142673-5 2.018366+1 4.550041-5 2.570396+1 3.481691-5 3.548134+1 2.456341-5 5.128614+1 1.662373-5 8.128305+1 1.029748-5 1.479108+2 5.575981-6 2.917427+2 2.802357-6 5.821032+2 1.398089-6 4.623810+3 1.753241-7 1.000000+5 8.101400-9 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.439000-5 5.439000-5 1.000000+5 5.439000-5 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.439000-5 0.0 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 3.552000-5 6.569319+6 3.630781-5 6.271772+6 3.740000-5 5.846560+6 3.900000-5 5.259480+6 4.168694-5 4.413414+6 4.415704-5 3.767269+6 4.677351-5 3.194912+6 5.000000-5 2.618340+6 5.400000-5 2.063160+6 6.531306-5 1.132922+6 7.328245-5 7.940730+5 8.511380-5 5.054382+5 1.161449-4 1.993640+5 1.350000-4 1.279214+5 1.531087-4 8.889513+4 1.698244-4 6.633338+4 1.883649-4 4.987971+4 2.065380-4 3.899933+4 2.238721-4 3.167085+4 2.400000-4 2.663480+4 2.580000-4 2.241040+4 2.754229-4 1.929699+4 2.951209-4 1.658447+4 3.162278-4 1.435825+4 3.350000-4 1.280556+4 3.550000-4 1.147960+4 3.801894-4 1.015783+4 4.073803-4 9.041374+3 4.365158-4 8.101127+3 4.700000-4 7.254020+3 5.150000-4 6.383120+3 5.688529-4 5.602097+3 6.309573-4 4.928112+3 7.244360-4 4.186801+3 1.122018-3 2.541734+3 1.348963-3 2.045683+3 1.584893-3 1.680050+3 1.862087-3 1.369467+3 2.187762-3 1.107729+3 2.540973-3 9.030468+2 2.951209-3 7.306920+2 3.388442-3 5.967495+2 3.890451-3 4.839369+2 4.466836-3 3.895779+2 5.069907-3 3.171735+2 5.754399-3 2.564703+2 6.531306-3 2.059851+2 7.413102-3 1.642966+2 8.511380-3 1.273793+2 9.660509-3 1.001708+2 1.109175-2 7.648512+1 1.273503-2 5.793839+1 1.462177-2 4.354358+1 1.757924-2 2.946346+1 1.995262-2 2.231419+1 2.290868-2 1.635053+1 2.630268-2 1.189675+1 3.019952-2 8.594862+0 3.507519-2 5.995620+0 4.073803-2 4.150349+0 4.731513-2 2.852034+0 5.559043-2 1.890047+0 6.531306-2 1.243605+0 7.852356-2 7.649183-1 9.772372-2 4.259924-1 1.288250-1 2.013499-1 2.113489-1 5.228808-2 2.630268-1 2.899394-2 3.162278-1 1.777488-2 3.672823-1 1.202397-2 4.216965-1 8.438986-3 4.841724-1 5.968349-3 5.495409-1 4.376586-3 6.165950-1 3.323241-3 6.918310-1 2.540837-3 7.762471-1 1.956681-3 8.709636-1 1.515568-3 9.440609-1 1.275100-3 1.023293+0 1.080443-3 1.148154+0 8.596043-4 1.273503+0 7.042608-4 1.428894+0 5.689623-4 1.659587+0 4.348792-4 1.905461+0 3.418724-4 2.162719+0 2.759520-4 2.454709+0 2.243812-4 2.818383+0 1.804338-4 3.311311+0 1.410918-4 3.845918+0 1.131403-4 4.466836+0 9.139184-5 5.308844+0 7.201412-5 6.309573+0 5.718361-5 7.498942+0 4.574111-5 9.120108+0 3.578154-5 1.135011+1 2.743394-5 1.428894+1 2.091866-5 1.800000+1 1.606000-5 2.400000+1 1.164500-5 3.349654+1 8.107273-6 4.786301+1 5.546676-6 7.498942+1 3.472569-6 1.333521+2 1.922896-6 2.570396+2 9.880301-7 5.128614+2 4.926874-7 4.073803+3 6.174642-8 1.000000+5 2.513800-9 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 3.552000-5 3.552000-5 1.000000+5 3.552000-5 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 3.552000-5 0.0 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 2.525000-5 1.541624+7 2.800000-5 1.092264+7 3.090295-5 7.927414+6 3.672823-5 4.546007+6 4.800000-5 1.896700+6 5.248075-5 1.425669+6 5.688529-5 1.109265+6 6.095369-5 9.003216+5 6.531306-5 7.357806+5 7.000000-5 6.055000+5 7.413102-5 5.185143+5 7.852356-5 4.464279+5 8.317638-5 3.867423+5 8.810489-5 3.371423+5 9.332543-5 2.956966+5 1.000000-4 2.545288+5 1.071519-4 2.207669+5 1.150000-4 1.922864+5 1.230269-4 1.696764+5 1.318257-4 1.502981+5 1.412538-4 1.340494+5 1.531087-4 1.182066+5 1.678804-4 1.032197+5 1.883649-4 8.785958+4 2.137962-4 7.418943+4 2.500000-4 6.077120+4 4.073803-4 3.307409+4 5.011872-4 2.538135+4 5.956621-4 2.022299+4 7.079458-4 1.599635+4 8.317638-4 1.276115+4 9.772372-4 1.010828+4 1.148154-3 7.946754+3 1.348963-3 6.201006+3 1.584893-3 4.802598+3 1.862087-3 3.692920+3 2.213095-3 2.765547+3 2.600160-3 2.095960+3 3.054921-3 1.576535+3 3.548134-3 1.201768+3 4.120975-3 9.094043+2 4.731513-3 6.982320+2 5.432503-3 5.323760+2 6.237348-3 4.029985+2 7.161434-3 3.027908+2 8.222426-3 2.258052+2 9.440609-3 1.671307+2 1.096478-2 1.197336+2 1.261910-2 8.691087+1 1.445440-2 6.329690+1 1.621810-2 4.804705+1 1.840772-2 3.523551+1 2.113489-2 2.493283+1 2.426610-2 1.751044+1 2.786121-2 1.220770+1 3.198895-2 8.448567+0 3.672823-2 5.805442+0 4.216965-2 3.962059+0 4.897788-2 2.600095+0 5.754399-2 1.639160+0 6.760830-2 1.025458+0 8.128305-2 5.952747-1 1.000000-1 3.203666-1 1.972423-1 4.092237-2 2.426610-1 2.197100-2 2.851018-1 1.363779-2 3.311311-1 8.823581-3 3.758374-1 6.145779-3 4.265795-1 4.311423-3 4.786301-1 3.145883-3 5.308844-1 2.384858-3 5.956621-1 1.766636-3 6.683439-1 1.318770-3 7.413102-1 1.020748-3 8.609938-1 7.114636-4 9.225714-1 6.058065-4 9.772372-1 5.327418-4 1.047129+0 4.601033-4 1.135011+0 3.909623-4 1.230269+0 3.346157-4 1.348963+0 2.821169-4 1.678804+0 1.909140-4 1.927525+0 1.501032-4 2.187762+0 1.212453-4 2.483133+0 9.865249-5 2.851018+0 7.937325-5 3.311311+0 6.318034-5 3.845918+0 5.066338-5 4.466836+0 4.092499-5 5.308844+0 3.224823-5 6.309573+0 2.560716-5 7.498942+0 2.048326-5 9.120108+0 1.602271-5 1.148154+1 1.211713-5 1.445440+1 9.243600-6 1.819701+1 7.103889-6 2.426610+1 5.151862-6 3.388442+1 3.585895-6 4.841724+1 2.453916-6 7.585776+1 1.536649-6 1.333521+2 8.610891-7 2.600160+2 4.373332-7 5.188000+2 2.180855-7 4.120975+3 2.733312-8 1.000000+5 1.125700-9 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 2.525000-5 2.525000-5 1.000000+5 2.525000-5 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 2.525000-5 0.0 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.600000+1 0.0 0.0 0.0 4.750000-6 2.942973+6 4.800000-6 2.996280+6 4.960000-6 3.121992+6 5.150000-6 3.252960+6 5.420000-6 3.409620+6 5.700000-6 3.539868+6 5.956621-6 3.636843+6 6.350000-6 3.750052+6 6.700000-6 3.823132+6 7.100000-6 3.877504+6 7.585776-6 3.912078+6 8.128305-6 3.918713+6 8.609938-6 3.900156+6 9.200000-6 3.850248+6 9.772372-6 3.778175+6 1.035142-5 3.685870+6 1.096478-5 3.570868+6 1.161449-5 3.431639+6 1.230269-5 3.271593+6 1.290000-5 3.125960+6 1.350000-5 2.974860+6 1.420000-5 2.796684+6 1.496236-5 2.603866+6 1.570000-5 2.422640+6 1.659587-5 2.213054+6 1.757924-5 1.998515+6 1.862087-5 1.791259+6 1.980000-5 1.582756+6 2.113489-5 1.378060+6 2.290868-5 1.151790+6 2.511886-5 9.307862+5 2.800000-5 7.177960+5 3.126079-5 5.474126+5 3.467369-5 4.212853+5 3.801894-5 3.313815+5 4.120975-5 2.668391+5 4.466836-5 2.132355+5 4.800000-5 1.734292+5 5.188000-5 1.377401+5 5.623413-5 1.077016+5 6.165950-5 8.070950+4 6.839116-5 5.787663+4 7.585776-5 4.117456+4 8.317638-5 3.018721+4 8.912509-5 2.377506+4 9.549926-5 1.862017+4 1.035142-4 1.389066+4 1.122018-4 1.028404+4 1.421350-4 4.179560+3 1.500000-4 3.419752+3 1.566751-4 2.925555+3 1.640590-4 2.497391+3 1.698244-4 2.229374+3 1.757924-4 1.999771+3 1.819701-4 1.803196+3 1.883649-4 1.635066+3 1.949845-4 1.491494+3 2.000000-4 1.399660+3 2.065380-4 1.314627+3 2.137962-4 1.237570+3 2.213095-4 1.172879+3 2.290868-4 1.118570+3 2.371374-4 1.073029+3 2.454709-4 1.034923+3 2.540973-4 1.003146+3 2.660725-4 9.690325+2 2.786121-4 9.426863+2 2.917427-4 9.225769+2 3.090295-4 9.039452+2 3.311311-4 8.884692+2 4.027170-4 8.601808+2 4.415704-4 8.367424+2 4.786301-4 8.120032+2 5.128614-4 7.870564+2 5.559043-4 7.534632+2 6.025596-4 7.159036+2 6.531306-4 6.747344+2 7.079458-4 6.313208+2 7.673615-4 5.866505+2 8.317638-4 5.416094+2 9.015711-4 4.968097+2 9.772372-4 4.526223+2 1.071519-3 4.038935+2 1.174898-3 3.577065+2 1.288250-3 3.144873+2 1.412538-3 2.745404+2 1.548817-3 2.380474+2 1.698244-3 2.050620+2 1.883649-3 1.720652+2 2.089296-3 1.432557+2 2.317395-3 1.185109+2 2.511886-3 1.016583+2 2.754229-3 8.470263+1 3.090295-3 6.685790+1 3.427678-3 5.368625+1 3.801894-3 4.280529+1 4.168694-3 3.477829+1 4.623810-3 2.733276+1 5.128614-3 2.132363+1 5.688529-3 1.651375+1 6.309573-3 1.269649+1 6.998420-3 9.693533+0 7.762471-3 7.350478+0 8.609938-3 5.536900+0 9.660509-3 4.010846+0 1.083927-2 2.882614+0 1.216186-2 2.055984+0 1.364583-2 1.455617+0 1.531087-2 1.023234+0 1.717908-2 7.143496-1 1.949845-2 4.774275-1 2.213095-2 3.166193-1 2.511886-2 2.083903-1 2.884032-2 1.310197-1 3.311311-2 8.176783-2 3.845918-2 4.869376-2 4.518559-2 2.764132-2 5.370318-2 1.495201-2 6.456542-2 7.707460-3 8.413951-2 2.946157-3 1.348963-1 5.277043-4 1.659587-1 2.495759-4 1.972423-1 1.346162-4 2.290868-1 7.933472-5 2.630268-1 4.903000-5 3.000000-1 3.123600-5 3.388442-1 2.072741-5 3.801894-1 1.416727-5 4.265795-1 9.752648-6 4.677351-1 7.281246-6 5.069907-1 5.675096-6 5.559043-1 4.307266-6 6.382635-1 2.877922-6 7.079458-1 2.141116-6 8.128305-1 1.459754-6 8.709636-1 1.207445-6 9.225714-1 1.038381-6 9.660509-1 9.261290-7 1.011579+0 8.316475-7 1.071519+0 7.333127-7 1.135011+0 6.514655-7 1.202264+0 5.824110-7 1.288250+0 5.125082-7 1.412538+0 4.356250-7 1.531087+0 3.789235-7 1.862087+0 2.684137-7 2.089296+0 2.204856-7 2.371374+0 1.789223-7 2.722701+0 1.436063-7 3.198895+0 1.120955-7 3.715352+0 8.973153-8 4.315191+0 7.236331-8 5.069907+0 5.783328-8 6.025596+0 4.582969-8 7.161434+0 3.658975-8 8.810489+0 2.816576-8 1.083927+1 2.186786-8 1.333521+1 1.710054-8 1.698244+1 1.293822-8 2.264644+1 9.366188-9 3.054921+1 6.752775-9 4.315191+1 4.667004-9 6.456542+1 3.058884-9 1.083927+2 1.792552-9 2.113489+2 9.08159-10 4.216965+2 4.52442-10 1.678804+3 1.13132-10 1.000000+5 1.89590-12 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.600000+1 0.0 0.0 0.0 4.750000-6 4.750000-6 1.000000+5 4.750000-6 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.600000+1 0.0 0.0 0.0 4.750000-6 0.0 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.700000+1 0.0 0.0 0.0 4.110000-6 6.172208+6 4.180000-6 6.262800+6 4.365158-6 6.428768+6 4.600000-6 6.588240+6 4.900000-6 6.721260+6 5.248075-6 6.803603+6 5.600000-6 6.831120+6 6.025596-6 6.810310+6 6.500000-6 6.740580+6 7.000000-6 6.626580+6 7.585776-6 6.458010+6 8.222426-6 6.244796+6 8.810489-6 6.027365+6 9.440609-6 5.777694+6 1.000000-5 5.546304+6 1.059254-5 5.292395+6 1.122018-5 5.018112+6 1.188502-5 4.726694+6 1.258925-5 4.420016+6 1.333521-5 4.102646+6 1.412538-5 3.777808+6 1.496236-5 3.451499+6 1.584893-5 3.130089+6 1.678804-5 2.817814+6 1.778279-5 2.518933+6 1.905461-5 2.184464+6 2.041738-5 1.879825+6 2.213095-5 1.564579+6 2.400000-5 1.292016+6 2.660725-5 1.004494+6 2.951209-5 7.745624+5 3.300000-5 5.808798+5 3.672823-5 4.369562+5 3.981072-5 3.501105+5 4.315191-5 2.786433+5 4.677351-5 2.199150+5 5.011872-5 1.784516+5 5.500000-5 1.335402+5 6.025596-5 9.957586+4 6.606934-5 7.354295+4 7.244360-5 5.398481+4 7.943282-5 3.938284+4 8.709636-5 2.851734+4 9.549926-5 2.047630+4 1.060000-4 1.393404+4 1.273503-4 7.012074+3 1.348963-4 5.680493+3 1.421100-4 4.723967+3 1.479108-4 4.122959+3 1.513561-4 3.827182+3 1.566751-4 3.447443+3 1.621810-4 3.122095+3 1.678804-4 2.842961+3 1.737801-4 2.603250+3 1.798871-4 2.397319+3 1.862087-4 2.220472+3 1.927525-4 2.068801+3 2.000000-4 1.930884+3 2.065380-4 1.846215+3 2.137962-4 1.770177+3 2.213095-4 1.707144+3 2.290868-4 1.655078+3 2.398833-4 1.599799+3 2.511886-4 1.557623+3 2.660725-4 1.519073+3 2.818383-4 1.491931+3 3.019952-4 1.467525+3 3.801894-4 1.372700+3 4.168694-4 1.327925+3 4.466836-4 1.286462+3 4.841724-4 1.231456+3 5.248075-4 1.170678+3 5.688529-4 1.105020+3 6.165950-4 1.035560+3 6.683439-4 9.633555+2 7.244360-4 8.901324+2 7.943282-4 8.068941+2 8.709636-4 7.257979+2 9.549926-4 6.477534+2 1.035142-3 5.826444+2 1.135011-3 5.125500+2 1.244515-3 4.477249+2 1.380384-3 3.815572+2 1.513561-3 3.287100+2 1.659587-3 2.810873+2 1.819701-3 2.387410+2 2.018366-3 1.972203+2 2.238721-3 1.619613+2 2.483133-3 1.320574+2 2.754229-3 1.068933+2 3.054921-3 8.588195+1 3.388442-3 6.847394+1 3.758374-3 5.418782+1 4.168694-3 4.256130+1 4.623810-3 3.317923+1 5.128614-3 2.567454+1 5.688529-3 1.972017+1 6.309573-3 1.503579+1 6.998420-3 1.138296+1 7.762471-3 8.557871+0 8.609938-3 6.390498+0 9.549926-3 4.740374+0 1.059254-2 3.493333+0 1.188502-2 2.469840+0 1.333521-2 1.732850+0 1.500000-2 1.197151+0 1.678804-2 8.343087-1 1.883649-2 5.727892-1 2.137962-2 3.758186-1 2.426610-2 2.446526-1 2.754229-2 1.580913-1 3.162278-2 9.742127-2 3.630781-2 5.958959-2 4.216965-2 3.471867-2 4.954502-2 1.925125-2 5.956621-2 9.733404-3 7.413102-2 4.289875-3 1.273503-1 5.588806-4 1.548817-1 2.690780-4 1.819701-1 1.484475-4 2.113489-1 8.611309-5 2.398833-1 5.470851-5 2.691535-1 3.647353-5 3.000000-1 2.506400-5 3.311311-1 1.793288-5 3.672823-1 1.271208-5 4.073803-1 9.083129-6 4.466836-1 6.784342-6 4.841724-1 5.290207-6 5.188000-1 4.299778-6 5.623413-1 3.398711-6 6.237348-1 2.532107-6 6.839117-1 1.961915-6 7.498942-1 1.531602-6 8.511380-1 1.100362-6 9.015711-1 9.521095-7 9.549926-1 8.293224-7 1.000000+0 7.468400-7 1.059254+0 6.599477-7 1.135011+0 5.733850-7 1.216186+0 5.017130-7 1.333521+0 4.232975-7 1.798871+0 2.492852-7 2.044000+0 2.001500-7 2.317395+0 1.625065-7 2.660725+0 1.302508-7 3.090295+0 1.033367-7 3.589219+0 8.257965-8 4.168694+0 6.648577-8 4.897788+0 5.305340-8 5.821032+0 4.197708-8 6.918310+0 3.346501-8 8.413951+0 2.609741-8 1.023293+1 2.050991-8 1.258925+1 1.600621-8 1.603245+1 1.208593-8 2.113489+1 8.848710-9 2.630268+1 6.951145-9 3.672823+1 4.846447-9 5.308844+1 3.282393-9 8.511380+1 2.010397-9 1.566751+2 1.076598-9 3.126079+2 5.35133-10 6.237348+2 2.67045-10 4.954502+3 3.34979-11 1.000000+5 1.65860-12 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.700000+1 0.0 0.0 0.0 4.110000-6 4.110000-6 1.000000+5 4.110000-6 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.700000+1 0.0 0.0 0.0 4.110000-6 0.0 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 5.880000-6 9.821140+6 5.956621-6 9.455710+6 6.918310-6 5.754537+6 8.317638-6 3.144845+6 9.772372-6 1.866154+6 1.161449-5 1.075220+6 1.333521-5 6.965009+5 1.513561-5 4.708543+5 1.698244-5 3.323048+5 1.883649-5 2.445951+5 2.070000-5 1.863984+5 2.238721-5 1.497484+5 2.426610-5 1.204403+5 2.600160-5 1.005947+5 2.800000-5 8.355880+4 3.000000-5 7.079380+4 3.198895-5 6.106635+4 3.427678-5 5.246985+4 3.672823-5 4.541724+4 3.935501-5 3.958231+4 4.265795-5 3.398070+4 4.623810-5 2.939622+4 5.011872-5 2.562367+4 5.500000-5 2.203520+4 6.095369-5 1.879535+4 6.760830-5 1.614213+4 7.673615-5 1.350622+4 8.709636-5 1.138146+4 1.011579-4 9.357328+3 1.161449-4 7.872180+3 1.303167-4 6.863498+3 1.717908-4 5.010295+3 1.949845-4 4.303576+3 2.213095-4 3.667370+3 3.054921-4 2.396044+3 3.801894-4 1.803510+3 4.216965-4 1.568988+3 6.095369-4 9.412060+2 7.079458-4 7.620173+2 9.440609-4 4.996284+2 1.109175-3 3.926483+2 1.348963-3 2.907123+2 1.717908-3 1.988319+2 2.187762-3 1.349476+2 2.884032-3 8.595328+1 5.495409-3 2.877174+1 6.165950-3 2.356778+1 7.585776-3 1.628380+1 9.225714-3 1.140023+1 1.122018-2 7.922139+0 1.364583-2 5.463184+0 1.659587-2 3.738013+0 1.995262-2 2.596090+0 2.398833-2 1.789903+0 2.884032-2 1.224973+0 3.427678-2 8.519895-1 4.120975-2 5.740462-1 4.954502-2 3.838165-1 5.956621-2 2.545571-1 7.244360-2 1.632457-1 8.511380-2 1.125234-1 1.059254-1 6.733401-2 1.364583-1 3.684444-2 2.570396-1 7.998000-3 3.198895-1 4.746407-3 3.845918-1 3.079971-3 4.518559-1 2.124572-3 5.248075-1 1.515994-3 6.025596-1 1.118084-3 6.918310-1 8.306603-4 7.943282-1 6.217781-4 9.015711-1 4.800063-4 1.023293+0 3.731720-4 1.230269+0 2.605276-4 1.396368+0 2.050851-4 1.548817+0 1.696234-4 1.757924+0 1.355632-4 2.044000+0 1.046300-4 2.317395+0 8.493347-5 2.630268+0 6.932786-5 3.054921+0 5.498328-5 3.548134+0 4.391175-5 4.120975+0 3.533281-5 4.841724+0 2.817941-5 5.754399+0 2.228527-5 6.839116+0 1.775734-5 8.317638+0 1.384173-5 1.000000+1 1.102700-5 1.230269+1 8.598232-6 1.548817+1 6.574622-6 2.018366+1 4.869948-6 2.570396+1 3.726529-6 3.548134+1 2.629054-6 5.128614+1 1.779308-6 8.128305+1 1.102149-6 1.479108+2 5.968143-7 2.884032+2 3.034440-7 5.754399+2 1.513828-7 4.570882+3 1.898248-8 1.000000+5 8.67110-10 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 5.880000-6 5.880000-6 1.000000+5 5.880000-6 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 5.880000-6 0.0 1.000000+5 1.000000+5 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 8.402230-7 1.025500+0 1.184490-6 1.025800+0 1.514250-6 1.026100+0 1.899820-6 1.026600+0 2.678310-6 1.027100+0 3.643890-6 1.027500+0 4.563930-6 1.028100+0 6.213710-6 1.028750+0 8.402230-6 1.029500+0 1.149870-5 1.030100+0 1.446100-5 1.031000+0 1.978750-5 1.032000+0 2.707430-5 1.033200+0 3.792650-5 1.034000+0 4.655830-5 1.035300+0 6.319630-5 1.036640+0 8.402230-5 1.038200+0 1.133910-4 1.039700+0 1.473170-4 1.041500+0 1.960040-4 1.043800+0 2.720600-4 1.046400+0 3.785210-4 1.048300+0 4.712690-4 1.051200+0 6.392660-4 1.054080+0 8.402230-4 1.057700+0 1.145280-3 1.061100+0 1.489710-3 1.065100+0 1.972210-3 1.070400+0 2.751430-3 1.076200+0 3.802460-3 1.080600+0 4.748650-3 1.087100+0 6.398010-3 1.093710+0 8.402230-3 1.102600+0 1.164980-2 1.110700+0 1.519400-2 1.120600+0 2.032560-2 1.133300+0 2.826250-2 1.147500+0 3.902330-2 1.158200+0 4.849630-2 1.174100+0 6.481400-2 1.190110+0 8.402230-2 1.205100+0 1.045710-1 1.227500+0 1.399350-1 1.250000+0 1.809000-1 1.265600+0 2.123320-1 1.294900+0 2.776410-1 1.331800+0 3.705120-1 1.362600+0 4.558390-1 1.397000+0 5.582510-1 1.433800+0 6.745300-1 1.477900+0 8.207190-1 1.500000+0 8.961000-1 1.562500+0 1.113850+0 1.641100+0 1.391970+0 1.706900+0 1.623990+0 1.811600+0 1.986730+0 1.937200+0 2.409760+0 2.000000+0 2.618000+0 2.044000+0 2.763000+0 2.163500+0 3.146240+0 2.372600+0 3.777480+0 2.686300+0 4.638710+0 3.000000+0 5.420000+0 3.500000+0 6.550130+0 4.000000+0 7.575000+0 5.000000+0 9.374000+0 6.000000+0 1.091000+1 7.000000+0 1.228000+1 8.000000+0 1.351000+1 9.000000+0 1.464000+1 1.000000+1 1.569000+1 1.100000+1 1.666000+1 1.200000+1 1.756000+1 1.300000+1 1.840000+1 1.400000+1 1.919000+1 1.500000+1 1.993000+1 1.600000+1 2.063000+1 1.800000+1 2.188000+1 2.000000+1 2.300000+1 2.200000+1 2.402000+1 2.400000+1 2.495000+1 2.600000+1 2.580000+1 2.800000+1 2.658000+1 3.000000+1 2.730000+1 4.000000+1 3.023000+1 5.000000+1 3.240000+1 6.000000+1 3.409000+1 8.000000+1 3.657000+1 1.000000+2 3.832000+1 1.500000+2 4.108000+1 2.000000+2 4.272000+1 3.000000+2 4.463000+1 4.000000+2 4.573000+1 5.000000+2 4.645000+1 6.000000+2 4.697000+1 8.000000+2 4.765000+1 1.000000+3 4.809000+1 1.500000+3 4.872000+1 2.000000+3 4.908000+1 3.000000+3 4.943000+1 4.000000+3 4.967000+1 5.000000+3 4.979000+1 6.000000+3 4.988000+1 8.000000+3 5.000000+1 1.000000+4 5.008000+1 1.500000+4 5.017000+1 2.000000+4 5.023000+1 3.000000+4 5.028000+1 4.000000+4 5.032000+1 5.000000+4 5.034000+1 6.000000+4 5.035000+1 8.000000+4 5.036000+1 1.000000+5 5.037000+1 1 93000 7 8 2.370000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 9.303140-7 2.090400+0 1.263140-6 2.094700+0 1.637850-6 2.099900+0 2.178920-6 2.106600+0 3.031060-6 2.114000+0 4.193860-6 2.119500+0 5.221330-6 2.127900+0 7.081110-6 2.136250+0 9.303140-6 2.147000+0 1.275530-5 2.156900+0 1.656750-5 2.169000+0 2.211040-5 2.184500+0 3.073420-5 2.201800+0 4.252170-5 2.214800+0 5.297870-5 2.234200+0 7.126580-5 2.253680+0 9.303140-5 2.281500+0 1.303070-4 2.307000+0 1.711570-4 2.338200+0 2.301360-4 2.377400+0 3.187100-4 2.410200+0 4.053450-4 2.446800+0 5.156210-4 2.485900+0 6.491960-4 2.532900+0 8.308340-4 2.556430+0 9.303140-4 2.611900+0 1.186260-3 2.660400+0 1.434140-3 2.745300+0 1.919540-3 2.809000+0 2.324680-3 2.904500+0 2.994770-3 3.000000+0 3.738000-3 3.125000+0 4.819590-3 3.234400+0 5.863710-3 3.425800+0 7.894300-3 3.569300+0 9.570540-3 3.784700+0 1.229870-2 4.000000+0 1.523000-2 4.250000+0 1.881190-2 4.625000+0 2.443720-2 5.000000+0 3.028000-2 5.500000+0 3.829090-2 6.000000+0 4.640000-2 6.750000+0 5.845070-2 7.000000+0 6.241000-2 8.000000+0 7.787000-2 9.000000+0 9.263000-2 1.000000+1 1.066000-1 1.100000+1 1.198000-1 1.200000+1 1.322000-1 1.300000+1 1.439000-1 1.400000+1 1.550000-1 1.500000+1 1.654000-1 1.600000+1 1.753000-1 1.800000+1 1.936000-1 2.000000+1 2.102000-1 2.200000+1 2.253000-1 2.400000+1 2.392000-1 2.600000+1 2.519000-1 2.800000+1 2.637000-1 3.000000+1 2.746000-1 4.000000+1 3.195000-1 5.000000+1 3.531000-1 6.000000+1 3.795000-1 8.000000+1 4.190000-1 1.000000+2 4.473000-1 1.500000+2 4.938000-1 2.000000+2 5.225000-1 3.000000+2 5.574000-1 4.000000+2 5.781000-1 5.000000+2 5.923000-1 6.000000+2 6.026000-1 8.000000+2 6.168000-1 1.000000+3 6.262000-1 1.500000+3 6.403000-1 2.000000+3 6.482000-1 3.000000+3 6.569000-1 4.000000+3 6.621000-1 5.000000+3 6.652000-1 6.000000+3 6.674000-1 8.000000+3 6.703000-1 1.000000+4 6.722000-1 1.500000+4 6.747000-1 2.000000+4 6.762000-1 3.000000+4 6.776000-1 4.000000+4 6.785000-1 5.000000+4 6.790000-1 6.000000+4 6.794000-1 8.000000+4 6.797000-1 1.000000+5 6.800000-1 1 93000 7 8 2.370000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 93000 7 9 2.370000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 9.300000+1 1.000000+5 9.300000+1 5.000000+5 9.295800+1 8.750000+5 9.290630+1 1.000000+6 9.289400+1 1.375000+6 9.282930+1 1.500000+6 9.280000+1 1.875000+6 9.269020+1 2.000000+6 9.264800+1 2.375000+6 9.250820+1 2.500000+6 9.245700+1 2.875000+6 9.228900+1 3.000000+6 9.222800+1 3.250000+6 9.208990+1 3.625000+6 9.188610+1 4.000000+6 9.167300+1 4.437500+6 9.140260+1 4.812500+6 9.115240+1 5.000000+6 9.103100+1 5.500000+6 9.066370+1 5.875000+6 9.037260+1 6.437500+6 8.992000+1 6.500000+6 8.986630+1 7.000000+6 8.945600+1 7.875000+6 8.871640+1 9.000000+6 8.773900+1 1.000000+7 8.683900+1 1.250000+7 8.459700+1 1.500000+7 8.229800+1 1.750000+7 7.999800+1 2.000000+7 7.770100+1 2.250000+7 7.540000+1 2.375000+7 7.425880+1 2.500000+7 7.314400+1 2.875000+7 6.991260+1 3.000000+7 6.888700+1 3.437500+7 6.548480+1 3.500000+7 6.502150+1 3.812500+7 6.279620+1 4.000000+7 6.153200+1 4.500000+7 5.835350+1 4.750000+7 5.685500+1 5.000000+7 5.541500+1 5.750000+7 5.136110+1 6.000000+7 5.009900+1 6.750000+7 4.655800+1 7.000000+7 4.546400+1 8.000000+7 4.148400+1 9.000000+7 3.807700+1 1.000000+8 3.511700+1 1.109400+8 3.224910+1 1.125000+8 3.186350+1 1.203100+8 3.001180+1 1.250000+8 2.895200+1 1.359400+8 2.661010+1 1.437500+8 2.505660+1 1.453100+8 2.475620+1 1.500000+8 2.388100+1 1.875000+8 1.823840+1 2.000000+8 1.689800+1 2.171900+8 1.542440+1 2.289100+8 1.461920+1 2.375000+8 1.411450+1 2.429700+8 1.382730+1 2.500000+8 1.349100+1 2.812500+8 1.226800+1 2.875000+8 1.203160+1 2.937500+8 1.178860+1 3.000000+8 1.153600+1 3.375000+8 1.001330+1 3.500000+8 9.581500+0 3.812500+8 8.746940+0 3.937500+8 8.417790+0 4.000000+8 8.242900+0 4.125000+8 7.869290+0 4.750000+8 6.083870+0 5.000000+8 5.565600+0 5.125000+8 5.358740+0 5.343800+8 5.059810+0 5.630900+8 4.751550+0 6.000000+8 4.431200+0 6.750000+8 3.903950+0 7.000000+8 3.760300+0 7.625000+8 3.443880+0 7.875000+8 3.315020+0 8.000000+8 3.247800+0 8.250000+8 3.106390+0 8.468800+8 2.979760+0 9.500000+8 2.431460+0 1.000000+9 2.222900+0 1.045900+9 2.068850+0 1.088000+9 1.952430+0 1.139500+9 1.834990+0 1.205600+9 1.714100+0 1.250000+9 1.647370+0 1.279200+9 1.608290+0 1.334400+9 1.543140+0 1.417200+9 1.462060+0 1.500000+9 1.395300+0 1.812500+9 1.207350+0 1.937500+9 1.143170+0 2.000000+9 1.111600+0 2.139200+9 1.041730+0 2.272600+9 9.766350-1 2.440400+9 8.985500-1 2.600300+9 8.288340-1 2.750000+9 7.681410-1 2.750300+9 7.680230-1 2.959000+9 6.907220-1 3.086500+9 6.475640-1 3.325700+9 5.743310-1 3.535000+9 5.179670-1 3.718100+9 4.738990-1 4.038600+9 4.070610-1 4.278900+9 3.643530-1 4.639500+9 3.101380-1 5.000000+9 2.656600-1 5.375000+9 2.275820-1 5.703100+9 1.998170-1 6.277300+9 1.609220-1 7.031000+9 1.235750-1 8.000000+9 9.069000-2 9.000000+9 6.796180-2 1.00000+10 5.235600-2 1.27030+10 2.883240-2 1.55700+10 1.730230-2 2.15420+10 7.623110-3 1.00000+11 1.527500-4 1.68570+11 4.069160-5 3.34410+11 7.264040-6 8.62510+11 6.834270-7 2.83020+12 3.616320-8 1.00000+14 5.77970-12 3.16230+15 1.16862-15 1.00000+17 2.26490-19 1 93000 7 0 2.370000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.30000-11 1.000000+2 1.300000-9 1.000000+3 1.300000-7 1.000000+4 1.300000-5 1.000000+5 1.300000-3 5.000000+5 3.250000-2 8.750000+5 9.953125-2 1.000000+6 1.300000-1 1.375000+6 2.424550-1 1.500000+6 2.871000-1 1.875000+6 4.410110-1 2.000000+6 4.986000-1 2.375000+6 6.881050-1 2.500000+6 7.565000-1 2.875000+6 9.751130-1 3.000000+6 1.052100+0 3.250000+6 1.211120+0 3.625000+6 1.460690+0 4.000000+6 1.720300+0 4.437500+6 2.031430+0 4.812500+6 2.301960+0 5.000000+6 2.438000+0 5.500000+6 2.799430+0 5.875000+6 3.068730+0 6.437500+6 3.467870+0 6.500000+6 3.511580+0 7.000000+6 3.859500+0 7.875000+6 4.452310+0 9.000000+6 5.194700+0 1.000000+7 5.846000+0 1.250000+7 7.483500+0 1.500000+7 9.143000+0 1.750000+7 1.078400+1 2.000000+7 1.237500+1 2.250000+7 1.391270+1 2.375000+7 1.466340+1 2.500000+7 1.540300+1 2.875000+7 1.755160+1 3.000000+7 1.824200+1 3.437500+7 2.053640+1 3.500000+7 2.085030+1 3.812500+7 2.236170+1 4.000000+7 2.323000+1 4.500000+7 2.540650+1 4.750000+7 2.644250+1 5.000000+7 2.745600+1 5.750000+7 3.039570+1 6.000000+7 3.134900+1 6.750000+7 3.413580+1 7.000000+7 3.503800+1 8.000000+7 3.849500+1 9.000000+7 4.168300+1 1.000000+8 4.457300+1 1.109400+8 4.737380+1 1.125000+8 4.774380+1 1.203100+8 4.950510+1 1.250000+8 5.049600+1 1.359400+8 5.261280+1 1.437500+8 5.400620+1 1.453100+8 5.427460+1 1.500000+8 5.507200+1 1.875000+8 6.074000+1 2.000000+8 6.242000+1 2.171900+8 6.459270+1 2.289100+8 6.598390+1 2.375000+8 6.695150+1 2.429700+8 6.755660+1 2.500000+8 6.830400+1 2.812500+8 7.131460+1 2.875000+8 7.186350+1 2.937500+8 7.238640+1 3.000000+8 7.290200+1 3.375000+8 7.559840+1 3.500000+8 7.637900+1 3.812500+8 7.809470+1 3.937500+8 7.870690+1 4.000000+8 7.900100+1 4.125000+8 7.955390+1 4.750000+8 8.187060+1 5.000000+8 8.263700+1 5.125000+8 8.298930+1 5.343800+8 8.357470+1 5.630900+8 8.428760+1 6.000000+8 8.510800+1 6.750000+8 8.652410+1 7.000000+8 8.693600+1 7.625000+8 8.783190+1 7.875000+8 8.814750+1 8.000000+8 8.830200+1 8.250000+8 8.857480+1 8.468800+8 8.880740+1 9.500000+8 8.968720+1 1.000000+9 9.002300+1 1.045900+9 9.028110+1 1.088000+9 9.049230+1 1.139500+9 9.071360+1 1.205600+9 9.096110+1 1.250000+9 9.109670+1 1.279200+9 9.118040+1 1.334400+9 9.133360+1 1.417200+9 9.151630+1 1.500000+9 9.168700+1 1.812500+9 9.215000+1 1.937500+9 9.229090+1 2.000000+9 9.235800+1 2.139200+9 9.247160+1 2.272600+9 9.255900+1 2.440400+9 9.265170+1 2.600300+9 9.272550+1 2.750000+9 9.277760+1 2.750300+9 9.277770+1 2.959000+9 9.283310+1 3.086500+9 9.285850+1 3.325700+9 9.290350+1 3.535000+9 9.292630+1 3.718100+9 9.294050+1 4.038600+9 9.296380+1 4.278900+9 9.297630+1 4.639500+9 9.298390+1 5.000000+9 9.299100+1 5.375000+9 9.299220+1 5.703100+9 9.299320+1 6.277300+9 9.299490+1 7.031000+9 9.299680+1 8.000000+9 9.299900+1 9.000000+9 9.299950+1 1.00000+10 9.300000+1 1.27030+10 9.300000+1 1.55700+10 9.300000+1 2.15420+10 9.300000+1 1.00000+11 9.300000+1 1.68570+11 9.300000+1 3.34410+11 9.300000+1 8.62510+11 9.300000+1 2.83020+12 9.300000+1 1.00000+14 9.300000+1 3.16230+15 9.300000+1 1.00000+17 9.300000+1 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.104475-6 0.0 1.107193-6 7.319306-7 1.109912-6 1.448289-6 1.112630-6 2.645418-6 1.115349-6 4.460538-6 1.118067-6 6.942791-6 1.120786-6 9.975502-6 1.123504-6 1.323090-5 1.126223-6 1.619936-5 1.128941-6 1.830881-5 1.131660-6 1.910190-5 1.134379-6 1.840511-5 1.137097-6 1.640494-5 1.145253-6 7.382042-6 1.147971-6 5.003164-6 1.150690-6 3.319259-6 1.153408-6 2.271465-6 1.156168-6 1.688665-6 1.158845-6 1.052978-6 1.161750-6 1.103795-6 1.164541-6 1.063062-6 1.167332-6 9.451109-7 1.170122-6 7.756413-7 1.175704-6 4.109407-7 1.178495-6 2.652890-7 1.181286-6 1.580933-7 1.184076-6 8.696840-8 1.186867-6 4.416352-8 1.189658-6 0.0 1.353310-6 0.0 1.358306-6 2.609360-1 1.359972-6 3.468113-1 1.363303-6 6.334792-1 1.366634-6 1.068133+0 1.370381-6 1.753126+0 1.376159-6 3.058458+0 1.380374-6 3.942155+0 1.383595-6 4.401678+0 1.386973-6 4.556345+0 1.390382-6 4.342310+0 1.393966-6 3.772679+0 1.399585-6 2.519187+0 1.403275-6 1.702964+0 1.406814-6 1.071672+0 1.409937-6 6.551484-1 1.413268-6 3.604025-1 1.418056-6 1.030526-1 1.419930-6 0.0 1.517323-6 0.0 1.522925-6 1.549302-1 1.524792-6 2.059185-1 1.528527-6 3.761269-1 1.532262-6 6.342016-1 1.536463-6 1.040915+0 1.542941-6 1.815953+0 1.547667-6 2.340646+0 1.551504-6 2.620302+0 1.555066-6 2.705320+0 1.558966-6 2.572164+0 1.562694-6 2.263652+0 1.568855-6 1.539419+0 1.573343-6 1.011131+0 1.577312-6 6.363029-1 1.580813-6 3.889929-1 1.584548-6 2.139882-1 1.589916-6 6.118727-2 1.592017-6 0.0 1.770531-6 0.0 1.774889-6 3.052211-7 1.779247-6 6.039484-7 1.783604-6 1.103161-6 1.787962-6 1.860081-6 1.792320-6 2.895201-6 1.796678-6 4.159867-6 1.801036-6 5.517395-6 1.805394-6 6.755267-6 1.809752-6 7.634928-6 1.814110-6 7.965650-6 1.818468-6 7.671698-6 1.822826-6 6.820492-6 1.827184-6 5.597497-6 1.835900-6 2.965597-6 1.840258-6 1.914486-6 1.844616-6 1.140897-6 1.848973-6 6.276166-7 1.853331-6 3.187107-7 1.857689-6 0.0 1.990008-6 0.0 1.994907-6 1.996547-2 1.999805-6 3.950615-2 2.004703-6 7.216122-2 2.009601-6 1.216737-1 2.014499-6 1.893842-1 2.021846-6 3.164566-1 2.029194-6 4.418831-1 2.034092-6 4.994244-1 2.038990-6 5.210581-1 2.043888-6 5.018297-1 2.048786-6 4.461497-1 2.063481-6 1.939890-1 2.068379-6 1.252326-1 2.073277-6 7.462971-2 2.078175-6 4.105453-2 2.083073-6 2.084810-2 2.087972-6 3.408290-7 2.097175-6 5.225297-7 2.102238-6 5.905727-7 2.107300-6 6.161546-7 2.112362-6 5.934170-7 2.117425-6 5.275749-7 2.122487-6 4.329745-7 2.132611-6 2.293932-7 2.137674-6 1.480883-7 2.142736-6 8.825001-8 2.147798-6 4.854706-8 2.152860-6 2.465273-8 2.157923-6 0.0 2.613160-6 0.0 2.622808-6 2.36823-14 2.626024-6 3.14763-14 2.632456-6 5.74941-14 2.638888-6 9.69429-14 2.645320-6 1.50891-13 2.651165-6 2.10772-13 2.664216-6 4.243438+0 2.670741-6 7.750986+0 2.677480-6 1.330611+1 2.684514-6 2.134079+1 2.703777-6 4.784901+1 2.710494-6 5.385708+1 2.716868-6 5.582653+1 2.724002-6 5.293649+1 2.730417-6 4.663171+1 2.749048-6 2.084261+1 2.755573-6 1.347279+1 2.762099-6 8.055772+0 2.768624-6 4.478364+0 2.781675-6 1.655909-1 2.799436-6 3.448108-1 2.807430-6 4.032133-1 2.814190-6 4.206792-1 2.820950-6 4.051550-1 2.827711-6 3.602014-1 2.837851-6 2.598257-1 2.847992-6 1.566180-1 2.854752-6 1.011072-1 2.861513-6 6.025263-2 2.868273-6 3.314547-2 2.878414-6 8.425712-3 2.881794-6 0.0 3.123850-6 0.0 3.137306-6 7.440271+0 3.139228-6 8.492322+0 3.146917-6 1.551192+1 3.154606-6 2.615523+1 3.164034-6 4.479350+1 3.185843-6 9.600334+1 3.193866-6 1.082354+2 3.201693-6 1.120528+2 3.209424-6 1.069453+2 3.219211-6 8.986673+1 3.239185-6 4.275779+1 3.246874-6 2.788163+1 3.254563-6 1.685560+1 3.262252-6 9.465925+0 3.277630-6 3.464285-1 3.279954-6 3.105314-1 3.287721-6 2.348723-1 3.295488-6 2.041744-1 3.311023-6 2.147735-1 3.321841-6 2.760935-1 3.329840-6 3.033515-1 3.337839-6 3.091279-1 3.345838-6 2.922367-1 3.353837-6 2.563450-1 3.377158-6 1.144891-1 3.383275-6 8.352726-2 3.386428-6 7.066467-2 3.391602-6 5.305884-2 3.394622-6 4.480511-2 3.398727-6 3.523700-2 3.406756-6 2.259552-2 3.409831-6 1.966923-2 3.416585-6 1.980008-2 3.422816-6 2.150865-2 3.425951-6 2.492642-2 3.450348-6 5.554903-2 3.454531-6 5.916364-2 3.460174-6 8.061192-2 3.472027-6 1.185825-1 3.480531-6 1.578318-1 3.489035-6 2.159519-1 3.497540-6 2.962964-1 3.523052-6 6.072617-1 3.531556-6 6.796191-1 3.540060-6 7.075267-1 3.548564-6 6.839262-1 3.557068-6 6.172802-1 3.582580-6 3.157488-1 3.591085-6 2.322442-1 3.599589-6 1.678821-1 3.608093-6 1.205810-1 3.617314-6 8.282706-2 3.624589-6 6.322634-2 3.635122-6 6.829461-2 3.643671-6 8.368089-2 3.652574-6 1.163589-1 3.661832-6 1.705680-1 3.679639-6 3.086741-1 3.688543-6 3.802493-1 3.697446-6 4.324031-1 3.706350-6 4.555142-1 3.715254-6 4.454162-1 3.724310-6 4.138504-1 3.742599-6 3.038739-1 3.751744-6 2.601770-1 3.760888-6 2.373921-1 3.770032-6 2.375253-1 3.779177-6 2.560438-1 3.794322-6 3.036096-1 3.806610-6 3.623184-1 3.825186-6 4.263898-1 3.836628-6 4.806138-1 3.862011-6 6.641407-1 3.871690-6 7.393246-1 3.882078-6 7.863584-1 3.890111-6 7.945807-1 3.903481-6 7.553539-1 3.929413-6 5.854934-1 3.945165-6 4.937900-1 3.961343-6 4.299442-1 3.981366-6 3.860824-1 4.010246-6 3.574673-1 4.035044-6 3.255128-1 4.074776-6 2.602301-1 4.092337-6 2.505662-1 4.106009-6 2.726798-1 4.112375-6 2.878089-1 4.121537-6 3.202457-1 4.133719-6 3.829152-1 4.154526-6 5.167515-1 4.174110-6 6.378112-1 4.182349-6 6.745688-1 4.192420-6 6.967272-1 4.202491-6 6.933142-1 4.212562-6 6.668349-1 4.252847-6 4.842119-1 4.262919-6 4.584377-1 4.275953-6 4.410839-1 4.292630-6 4.412686-1 4.306357-6 4.722750-1 4.337769-6 5.741327-1 4.358710-6 6.146573-1 4.372440-6 6.114861-1 4.383999-6 5.974415-1 4.405422-6 6.797742-1 4.417580-6 7.885034-1 4.428782-6 9.545053-1 4.440918-6 1.204950+0 4.472370-6 1.940955+0 4.482504-6 2.088597+0 4.494047-6 2.130063+0 4.505368-6 2.039499+0 4.517729-6 1.845171+0 4.540149-6 2.163442+0 4.551133-6 2.619395+0 4.562147-6 3.467272+0 4.574294-6 4.899263+0 4.606099-6 9.600074+0 4.619303-6 1.095192+1 4.631026-6 1.120702+1 4.642450-6 1.059744+1 4.654365-6 9.207128+0 4.685282-6 4.422891+0 4.695870-6 3.106530+0 4.706656-6 2.113628+0 4.715901-6 1.543403+0 4.718818-6 1.489457+0 4.739483-6 1.344587+0 4.751393-6 1.966984+0 4.763594-6 2.940123+0 4.777285-6 4.453704+0 4.810063-6 8.646641+0 4.822965-6 9.643100+0 4.834236-6 9.876332+0 4.846509-6 9.354662+0 4.856526-6 8.447513+0 4.875025-6 6.068604+0 4.889897-6 4.140331+0 4.901504-6 2.917834+0 4.913111-6 2.018684+0 4.924718-6 1.422953+0 4.947933-6 6.962176-1 4.981833-6 7.097994-1 5.012450-6 7.570571-1 5.032755-6 8.230980-1 5.057530-6 1.191732+0 5.071466-6 1.505272+0 5.084013-6 1.888307+0 5.104355-6 2.693079+0 5.130299-6 3.752866+0 5.144472-6 4.147696+0 5.158856-6 4.201301+0 5.169948-6 4.031719+0 5.183910-6 3.567757+0 5.210675-6 2.935234+0 5.222979-6 2.862890+0 5.234598-6 3.084756+0 5.248650-6 3.782257+0 5.279326-6 6.124236+0 5.298391-6 7.513341+0 5.311947-6 7.876772+0 5.326201-6 7.655266+0 5.340181-6 6.955869+0 5.374943-6 4.588703+0 5.387702-6 3.898599+0 5.400764-6 3.360320+0 5.433011-6 2.384790+0 5.438737-6 2.192241+0 5.463741-6 1.788563+0 5.476742-6 1.627302+0 5.489742-6 1.540937+0 5.502742-6 1.531363+0 5.556113-6 1.817640+0 5.569789-6 1.843748+0 5.621237-6 1.752318+0 5.774226-6 1.707640+0 5.818975-6 1.697391+0 5.854649-6 1.781858+0 5.879740-6 1.884682+0 5.932855-6 2.170239+0 5.956621-6 2.225738+0 5.981256-6 2.179685+0 6.049475-6 1.803152+0 6.079337-6 1.717044+0 6.106778-6 1.676025+0 7.408167-6 1.589966+0 7.481104-6 1.646745+0 7.572579-6 1.827130+0 7.609315-6 1.826622+0 7.718150-6 1.619417+0 7.811359-6 1.581897+0 8.038207-6 1.602481+0 8.155760-6 1.677859+0 8.320616-6 1.602949+0 8.576225-6 1.659914+0 8.684674-6 1.763264+0 8.752310-6 1.733634+0 8.855683-6 1.628741+0 8.961707-6 1.597355+0 9.298474-6 1.683489+0 9.433744-6 1.646829+0 1.322377-5 1.650217+0 1.738622-5 1.643067+0 2.002130-5 1.750668+0 2.011986-5 3.869852+0 2.016914-5 5.619459+0 2.021842-5 8.270620+0 2.026770-5 1.189498+1 2.041554-5 2.540897+1 2.046482-5 2.849009+1 2.052026-5 2.952317+1 2.056954-5 2.825561+1 2.061833-5 2.516192+1 2.065803-5 2.171836+1 2.076050-5 3.056073+1 2.081057-5 4.162066+1 2.086460-5 6.345531+1 2.091818-5 9.536897+1 2.106798-5 2.065218+2 2.112388-5 2.329238+2 2.117027-5 2.406100+2 2.122201-5 2.300891+2 2.127733-5 2.002610+2 2.136363-5 1.343465+2 2.142074-5 9.100069+1 2.147158-5 5.941243+1 2.152243-5 3.616570+1 2.157328-5 2.074307+1 2.166740-5 3.317573+0 2.167497-5 1.888904+0 2.271471-5 2.006149+0 2.282653-5 2.343013+0 2.288243-5 2.617203+0 2.293834-5 3.029311+0 2.299425-5 3.590336+0 2.316198-5 5.677273+0 2.321789-5 6.155117+0 2.327380-5 6.339229+0 2.334003-5 6.112257+0 2.340565-5 5.820782+0 2.346531-5 5.441383+0 2.352278-5 5.257422+0 2.358026-5 5.428610+0 2.364384-5 6.129615+0 2.376114-5 8.462165+0 2.381843-5 9.674379+0 2.389421-5 1.075060+1 2.394209-5 1.108027+1 2.400756-5 1.086760+1 2.410106-5 9.740265+0 2.419624-5 8.395127+0 2.427586-5 7.739312+0 2.436484-5 7.641974+0 2.461890-5 8.211805+0 2.518380-5 7.865762+0 2.899535-5 7.160960+0 3.010139-5 7.077974+0 3.024957-5 1.681922+1 3.032830-5 2.563486+1 3.040239-5 3.812794+1 3.048111-5 5.633523+1 3.069412-5 1.160821+2 3.078020-5 1.311403+2 3.085272-5 1.349483+2 3.092319-5 1.296102+2 3.100204-5 1.139224+2 3.121275-5 5.490448+1 3.128684-5 3.793856+1 3.136094-5 2.545237+1 3.143503-5 1.716755+1 3.158321-5 7.036809+0 3.279480-5 7.049863+0 3.311827-5 7.326719+0 3.344450-5 8.109728+0 3.373426-5 8.918035+0 3.417354-5 1.095161+1 3.433189-5 1.113843+1 3.470546-5 1.045275+1 3.576959-5 1.067635+1 3.707077-5 1.047438+1 4.656519-5 1.056724+1 5.065925-5 1.076582+1 5.190000-5 1.143309+1 5.282191-5 1.098750+1 5.594265-5 1.108213+1 6.614973-5 1.058498+1 8.000645-5 8.951560+0 9.692687-5 6.440272+0 9.740401-5 7.620868+0 9.764259-5 8.620135+0 9.788116-5 1.015312+1 9.803109-5 1.147738+1 9.851367-5 4.154418+1 9.875496-5 6.476273+1 9.899625-5 9.801563+1 9.927206-5 1.491986+2 9.996142-5 2.967075+2 1.002283-4 3.313127+2 1.004573-4 3.402429+2 1.007168-4 3.213974+2 1.010136-4 2.707352+2 1.016505-4 1.281131+2 1.018917-4 8.462695+1 1.021330-4 5.271106+1 1.023743-4 3.152331+1 1.028569-4 5.590093+0 1.043044-4 5.438709+0 1.051267-4 5.641386+0 1.058584-4 6.236478+0 1.063833-4 2.442137+1 1.066451-4 3.924332+1 1.069379-4 6.517173+1 1.072244-4 9.973943+1 1.079705-4 2.047739+2 1.082802-4 2.305279+2 1.085312-4 2.352124+2 1.087917-4 2.225698+2 1.090702-4 1.927571+2 1.097950-4 8.940832+1 1.100414-4 6.105347+1 1.102978-4 3.931676+1 1.105528-4 2.490888+1 1.110696-4 7.018082+0 1.131136-4 7.868302+0 1.139623-4 8.588340+0 1.150742-4 9.867099+0 1.156848-4 1.015296+1 1.171997-4 1.003162+1 1.233402-4 1.153479+1 1.273503-4 1.181672+1 1.314772-4 1.131081+1 1.484126-4 7.663673+0 1.584341-4 5.972199+0 1.678804-4 4.734306+0 1.759325-4 3.930184+0 1.843036-4 3.291060+0 1.936679-4 2.758489+0 2.012464-4 2.454894+0 2.056150-4 2.324242+0 2.071634-4 2.346581+0 2.082086-4 2.451192+0 2.112372-4 3.062871+0 2.123397-4 3.166029+0 2.317395-4 2.814201+0 2.485808-4 2.662857+0 2.621440-4 2.652379+0 2.641013-4 2.764559+0 2.654414-4 2.946778+0 2.680400-4 3.434728+0 2.693624-4 3.498513+0 2.733750-4 3.223941+0 2.800141-4 3.174542+0 3.260900-4 3.262591+0 3.314197-4 3.409315+0 3.357940-4 3.597679+0 3.539769-4 3.628084+0 4.002914-4 3.858159+0 4.032614-4 4.010045+0 4.052766-4 4.251234+0 4.091663-4 4.875471+0 4.112390-4 4.952712+0 4.156254-4 4.766750+0 4.186480-4 5.012187+0 4.218868-4 5.315703+0 4.240849-4 5.254238+0 4.288205-4 4.930965+0 4.320000-4 4.910858+0 4.422000-4 5.243909+0 4.492586-4 5.733201+0 4.553750-4 6.446252+0 4.621894-4 7.614112+0 4.700000-4 9.441763+0 4.802484-4 1.248932+1 5.159501-4 2.482814+1 5.347941-4 2.994263+1 5.559043-4 3.403450+1 5.903311-4 3.778994+1 6.273357-4 3.957760+1 6.996061-4 3.990039+1 7.398610-4 3.926532+1 7.454266-4 4.097320+1 7.492411-4 4.396456+1 7.563974-4 5.102623+1 7.601451-4 5.104985+1 7.689883-4 4.388875+1 7.763176-4 4.190406+1 7.880663-4 4.261522+1 7.939478-4 4.476444+1 8.013936-4 4.857597+1 8.053804-4 4.854274+1 8.168513-4 4.398284+1 8.320029-4 4.330648+1 1.050675-3 3.795539+1 1.075139-3 3.945638+1 1.310690-3 3.332513+1 1.479769-3 3.016091+1 1.790838-3 2.484689+1 2.109284-3 2.065676+1 2.513142-3 1.678852+1 2.909336-3 1.400785+1 3.454025-3 1.125249+1 3.570546-3 1.078881+1 3.588468-3 1.170484+1 3.596911-3 1.246621+1 3.605699-3 1.371868+1 3.614665-3 1.555534+1 3.636602-3 2.189954+1 3.649671-3 2.579974+1 3.658480-3 2.771250+1 3.667290-3 2.881094+1 3.676100-3 2.908012+1 3.703048-3 2.689513+1 3.729608-3 2.483728+1 3.746624-3 2.410055+1 3.776398-3 2.467492+1 3.794000-3 2.592112+1 3.814643-3 2.893016+1 3.840771-3 3.367778+1 3.859780-3 3.544207+1 3.879254-3 3.504867+1 3.925844-3 3.231303+1 4.007935-3 3.108122+1 4.333184-3 2.763016+1 4.385968-3 2.828824+1 4.442163-3 3.020483+1 4.520998-3 3.009141+1 5.243418-3 2.408205+1 5.342728-3 2.404851+1 5.456008-3 2.407564+1 5.661127-3 2.298120+1 5.835469-3 2.276757+1 6.693064-3 1.868190+1 7.776000-3 1.497498+1 8.857314-3 1.230691+1 1.028460-2 9.801278+0 1.172154-2 8.015041+0 1.336042-2 6.531645+0 1.527786-2 5.290805+0 1.717850-2 4.398208+0 1.732351-2 4.483350+0 1.740304-2 4.768019+0 1.746472-2 5.217896+0 1.755119-2 6.230016+0 1.771339-2 8.485119+0 1.780820-2 9.278677+0 1.795396-2 9.630278+0 2.112903-2 7.383274+0 2.136566-2 7.354565+0 2.152711-2 7.716895+0 2.182990-2 9.262256+0 2.202372-2 9.676858+0 2.235917-2 1.002415+1 2.265320-2 1.059160+1 2.321372-2 1.038668+1 2.670005-2 8.386401+0 3.062239-2 6.772142+0 3.495747-2 5.485409+0 3.962273-2 4.480902+0 4.530529-2 3.601187+0 5.079427-2 2.984253+0 5.763135-2 2.418732+0 6.531306-2 1.962254+0 7.380834-2 1.596734+0 8.369408-2 1.291841+0 9.419633-2 1.056807+0 1.065250-1 8.577049-1 1.164016-1 7.430067-1 1.170557-1 7.655221-1 1.174898-1 8.231108-1 1.177745-1 8.957586-1 1.181093-1 1.029874+0 1.184893-1 1.254133+0 1.190494-1 1.698627+0 1.199073-1 2.392767+0 1.204783-1 2.686999+0 1.211627-1 2.840508+0 1.226310-1 2.851380+0 1.431668-1 2.250986+0 1.642092-1 1.817064+0 1.858141-1 1.499005+0 2.064568-1 1.272569+0 2.344229-1 1.045143+0 2.624801-1 8.780607-1 3.011272-1 7.138834-1 3.411070-1 5.940502-1 3.844880-1 5.001928-1 4.370659-1 4.187330-1 4.993649-1 3.506806-1 5.737861-1 2.937205-1 6.579023-1 2.489557-1 7.663222-1 2.091257-1 8.976871-1 1.762591-1 1.120601+0 1.389656-1 1.286622+0 1.186368-1 1.477239+0 1.012819-1 1.696098+0 8.646582-2 1.947381+0 7.381708-2 2.235892+0 6.301868-2 2.581524+0 5.347165-2 3.086391+0 4.357107-2 3.543651+0 3.719724-2 4.068655+0 3.175580-2 4.671441+0 2.711037-2 5.363532+0 2.314451-2 6.158159+0 1.975879-2 7.070513+0 1.686836-2 8.118035+0 1.440075-2 9.320751+0 1.229412-2 9.803331+0 1.160638-2 1.000000+1 2.437119-2 1 93000 7 0 2.370000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-9.260915+1 1.353518-6-9.072742+1 1.378553-6-9.012838+1 1.391191-6-9.254313+1 1.409644-6-9.150037+1 1.456113-6-9.267786+1 1.547667-6-9.143066+1 1.563744-6-9.245305+1 2.304084-6-8.952108+1 2.544348-6-8.491804+1 2.616376-6-7.967050+1 2.645320-6-7.372196+1 2.679691-6-5.705581+1 2.686629-6-5.581913+1 2.694768-6-5.865649+1 2.702178-6-6.519065+1 2.710494-6-7.837335+1 2.716868-6-9.021673+1 2.723637-6-8.374576+1 2.732098-6-7.129524+1 2.740931-6-6.469481+1 2.748299-6-6.324545+1 2.759244-6-6.699136+1 2.790087-6-8.216295+1 2.824331-6-8.820552+1 2.890632-6-9.284749+1 3.035654-6-8.274732+1 3.083377-6-7.551061+1 3.109943-6-6.739985+1 3.122407-6-6.002426+1 3.129174-6-5.376358+1 3.139228-6-4.595070+1 3.147878-6-3.792390+1 3.156177-6-3.127349+1 3.164034-6-2.850619+1 3.167789-6-2.892473+1 3.171907-6-3.106489+1 3.176349-6-3.509777+1 3.180926-6-4.130950+1 3.185050-6-4.951181+1 3.192671-6-6.963355+1 3.200371-6-9.286813+1 3.210932-6-5.903955+1 3.219211-6-3.948979+1 3.223791-6-3.183842+1 3.227283-6-2.739907+1 3.230072-6-2.481436+1 3.234059-6-2.244608+1 3.237263-6-2.175062+1 3.243029-6-2.344737+1 3.245913-6-2.482726+1 3.254563-6-3.166399+1 3.265015-6-4.098702+1 3.277235-6-5.057191+1 3.281896-6-5.495250+1 3.295488-6-6.192035+1 3.321841-6-6.927021+1 3.377158-6-7.640067+1 3.489035-6-8.282214+1 3.846165-6-8.825047+1 4.417580-6-9.272228+1 4.537466-6-9.290536+1 4.589714-6-9.094495+1 4.618916-6-9.318007+1 4.662903-6-8.612935+1 4.702601-6-8.699734+1 4.781431-6-9.370599+1 4.822262-6-9.055304+1 4.871760-6-8.421512+1 4.938343-6-8.649898+1 5.118790-6-9.161503+1 5.209081-6-9.019277+1 5.279326-6-9.182150+1 5.365119-6-8.568646+1 5.647087-6-8.865790+1 1.412538-5-9.230166+1 1.755092-5-8.678450+1 1.880666-5-8.064997+1 1.946637-5-7.334207+1 1.980338-5-6.612538+1 1.998683-5-5.928122+1 2.016914-5-4.760148+1 2.028002-5-4.017658+1 2.035394-5-3.756431+1 2.041554-5-3.760709+1 2.053104-5-4.027657+1 2.058032-5-3.963313+1 2.061833-5-3.688655+1 2.064128-5-3.358621+1 2.065594-5-3.018810+1 2.066744-5-2.663359+1 2.071978-5-1.563943+1 2.074014-5-1.106727+1 2.075032-5-8.446468+0 2.075541-5-6.967191+0 2.076676-5-2.987180+0 2.078866-5 3.248160+0 2.079962-5 6.429049+0 2.080509-5 8.181782+0 2.081375-5 1.166213+1 2.087055-5 2.806055+1 2.088098-5 3.022777+1 2.091818-5 3.642942+1 2.092927-5 3.711895+1 2.094746-5 3.649644+1 2.096789-5 3.380854+1 2.097765-5 3.184731+1 2.099959-5 2.582400+1 2.100690-5 2.326480+1 2.102138-5 1.748277+1 2.103223-5 1.249087+1 2.104038-5 8.301405+0 2.104648-5 4.867809+0 2.105106-5 2.100723+0 2.105793-5-2.439149+0 2.106137-5-4.956515+0 2.106309-5-6.320256+0 2.106798-5-1.062815+1 2.109778-5-3.382239+1 2.111314-5-4.786924+1 2.112388-5-5.956459+1 2.116033-5-9.412664+1 2.117027-5-8.211675+1 2.121735-5-3.540072+1 2.122201-5-3.017526+1 2.123284-5-2.015747+1 2.124168-5-1.275270+1 2.125494-5-2.255505+0 2.126156-5 2.940580+0 2.126488-5 5.616853+0 2.127137-5 1.134663+1 2.127733-5 1.579328+1 2.128254-5 1.932674+1 2.129167-5 2.497884+1 2.131904-5 3.946552+1 2.133652-5 4.682918+1 2.136363-5 5.425651+1 2.139213-5 5.774145+1 2.141359-5 5.811963+1 2.145887-5 5.254140+1 2.151687-5 3.807993+1 2.158611-5 1.715006+1 2.160075-5 1.341428+1 2.164468-5 2.973744+0 2.165983-5-9.719080-1 2.166740-5-3.222185+0 2.167119-5-4.495753+0 2.167781-5-7.312626+0 2.168278-5-8.989138+0 2.169024-5-1.113179+1 2.169770-5-1.302793+1 2.171095-5-1.601352+1 2.173083-5-1.987561+1 2.176397-5-2.524154+1 2.180373-5-3.051108+1 2.188325-5-3.865974+1 2.200392-5-4.743648+1 2.217483-5-5.595142+1 2.244474-5-6.476650+1 2.301941-5-7.721420+1 2.350841-5-8.008930+1 2.377546-5-8.363168+1 2.416156-5-7.959354+1 2.471456-5-8.242116+1 2.813426-5-9.120716+1 2.874270-5-9.332650+1 2.945949-5-8.537288+1 2.982517-5-7.677674+1 3.002004-5-6.782873+1 3.009817-5-6.114577+1 3.015193-5-5.531391+1 3.024957-5-4.630941+1 3.033698-5-3.671309+1 3.041107-5-2.983092+1 3.048111-5-2.634543+1 3.050947-5-2.632702+1 3.055520-5-2.812785+1 3.059268-5-3.169577+1 3.062417-5-3.651811+1 3.067068-5-4.576483+1 3.069875-5-5.356737+1 3.076271-5-7.322950+1 3.081778-5-9.342117+1 3.087069-5-7.241651+1 3.091871-5-5.462701+1 3.093896-5-4.740493+1 3.100204-5-2.809948+1 3.102259-5-2.312038+1 3.104458-5-1.870808+1 3.107601-5-1.360644+1 3.109621-5-1.096403+1 3.111641-5-8.771029+0 3.114050-5-6.748540+0 3.115856-5-5.670518+0 3.117211-5-5.118096+0 3.119243-5-4.752309+0 3.120259-5-4.828877+0 3.124980-5-6.784849+0 3.126832-5-7.767124+0 3.127758-5-8.431229+0 3.129611-5-1.038534+1 3.134473-5-1.456242+1 3.146049-5-2.716874+1 3.157395-5-3.750303+1 3.160737-5-4.169520+1 3.170218-5-4.840808+1 3.187835-5-5.578751+1 3.217562-5-6.292420+1 3.279480-5-7.066516+1 3.373426-5-7.689144+1 3.433189-5-7.701103+1 4.147924-5-7.961849+1 7.148804-5-8.103784+1 7.631985-5-8.269412+1 8.517507-5-7.410056+1 8.931163-5-6.655200+1 9.185969-5-5.871102+1 9.332543-5-5.184312+1 9.438475-5-4.487630+1 9.522385-5-3.731410+1 9.578598-5-3.063222+1 9.627175-5-2.323510+1 9.655836-5-1.783579+1 9.678868-5-1.269084+1 9.692687-5-9.060279+0 9.716544-5-2.078899+0 9.728473-5 1.793358+0 9.740401-5 6.118209+0 9.752330-5 1.091366+1 9.764259-5 1.629046+1 9.782152-5 2.577534+1 9.795613-5 3.489869+1 9.801235-5 3.978882+1 9.804217-5 4.341108+1 9.811973-5 5.031922+1 9.847674-5 7.516271+1 9.878512-5 1.000472+2 9.907920-5 1.175524+2 9.927206-5 1.220184+2 9.944294-5 1.173872+2 9.961905-5 1.039802+2 9.975774-5 8.695491+1 9.986485-5 6.878629+1 9.994935-5 5.149813+1 9.997650-5 4.438126+1 1.000896-4 1.809644+1 1.001179-4 1.122560+1 1.001391-4 5.863483+0 1.001550-4 1.682273+0 1.001789-4-4.963337+0 1.001908-4-8.558684+0 1.001967-4-1.048713+1 1.002065-4-1.410099+1 1.002283-4-2.096767+1 1.004034-4-7.006402+1 1.004406-4-8.220819+1 1.004573-4-7.585085+1 1.006853-4-9.797980+0 1.006899-4-8.022008+0 1.006991-4-5.033708+0 1.007168-4 1.775569-1 1.007334-4 4.696587+0 1.007646-4 1.258161+1 1.007918-4 1.903579+1 1.008395-4 2.962799+1 1.010136-4 6.595622+1 1.011257-4 8.355463+1 1.012738-4 9.975605+1 1.014342-4 1.102460+2 1.015896-4 1.132968+2 1.018616-4 1.017809+2 1.021330-4 7.949670+1 1.024413-4 5.147513+1 1.027470-4 2.835744+1 1.028294-4 2.106810+1 1.028569-4 1.778952+1 1.028731-4 1.571581+1 1.029035-4 1.269557+1 1.029566-4 8.249387+0 1.029965-4 5.298265+0 1.030562-4 1.274058+0 1.031160-4-2.392225+0 1.031844-4-6.251879+0 1.032528-4-9.825971+0 1.033673-4-1.530803+1 1.035142-4-2.162006+1 1.037586-4-3.092561+1 1.043044-4-4.860083+1 1.052959-4-7.928748+1 1.054052-4-8.322299+1 1.057361-4-6.916927+1 1.058652-4-6.086262+1 1.059830-4-5.351317+1 1.063521-4-3.430283+1 1.064304-4-2.910764+1 1.066191-4-1.840490+1 1.066623-4-1.518470+1 1.066945-4-1.322802+1 1.069203-4-2.067482+0 1.069379-4-9.680688-1 1.069708-4 4.938212-1 1.070285-4 2.370339+0 1.070717-4 3.428841+0 1.072244-4 6.434876+0 1.072689-4 6.654002+0 1.073105-4 6.409208+0 1.073496-4 5.865174+0 1.073863-4 5.104968+0 1.074206-4 4.183663+0 1.074850-4 1.929426+0 1.075413-4-6.013096-1 1.075907-4-3.248727+0 1.076338-4-5.907359+0 1.076715-4-8.507231+0 1.077335-4-1.336447+1 1.078030-4-1.980474+1 1.078798-4-2.845866+1 1.079305-4-3.574150+1 1.079705-4-4.242649+1 1.081728-4-7.262772+1 1.082384-4-8.472657+1 1.083072-4-7.099150+1 1.084620-4-4.329496+1 1.084982-4-3.575600+1 1.085155-4-3.147660+1 1.085312-4-2.820947+1 1.087659-4 1.421816+1 1.087747-4 1.618098+1 1.087917-4 1.942092+1 1.088515-4 2.926224+1 1.090702-4 5.998461+1 1.091978-4 7.349389+1 1.093378-4 8.400597+1 1.095324-4 9.308608+1 1.097211-4 9.585566+1 1.100106-4 8.794681+1 1.102978-4 7.295779+1 1.106085-4 5.498849+1 1.110341-4 3.409879+1 1.110986-4 2.930408+1 1.111857-4 2.462880+1 1.113098-4 1.943936+1 1.113913-4 1.653940+1 1.114894-4 1.341993+1 1.116359-4 9.328321+0 1.117854-4 5.682748+0 1.118949-4 3.281140+0 1.119830-4 1.489576+0 1.121351-4-1.356536+0 1.122718-4-3.685764+0 1.124084-4-5.833720+0 1.125595-4-8.034999+0 1.127573-4-1.066514+1 1.131136-4-1.480474+1 1.136677-4-2.012240+1 1.144001-4-2.545972+1 1.153366-4-2.996548+1 1.178224-4-3.797996+1 1.198891-4-4.227295+1 1.233402-4-4.633193+1 1.298887-4-4.928553+1 1.789672-4-5.752561+1 2.132814-4-6.182607+1 2.712438-4-6.443704+1 3.816306-4-7.082098+1 4.422000-4-7.820004+1 4.871238-4-8.728621+1 5.159501-4-8.676989+1 6.273357-4-6.834009+1 6.996061-4-6.032412+1 7.492411-4-5.771010+1 7.707636-4-5.808316+1 7.939478-4-5.486257+1 8.190502-4-5.327954+1 8.676796-4-4.790677+1 9.681622-4-4.149268+1 1.043614-3-3.884019+1 1.075139-3-3.872575+1 1.106751-3-3.617703+1 1.205426-3-3.223595+1 1.397502-3-2.782810+1 1.519181-3-2.595026+1 1.716511-3-2.352951+1 1.998136-3-2.183430+1 2.367931-3-2.126401+1 2.783973-3-2.210584+1 3.136437-3-2.423961+1 3.359310-3-2.693896+1 3.492962-3-2.990091+1 3.570546-3-3.308798+1 3.614665-3-3.675150+1 3.658480-3-4.125246+1 3.684321-3-4.108274+1 3.746624-3-3.603019+1 3.785282-3-3.512378+1 3.850020-3-3.642343+1 3.879254-3-3.512037+1 3.941499-3-2.978434+1 4.007935-3-2.653370+1 4.112422-3-2.354985+1 4.237157-3-2.156531+1 4.333184-3-2.114506+1 4.416636-3-2.190474+1 4.459326-3-2.078453+1 4.520998-3-1.856470+1 4.615324-3-1.659086+1 4.772375-3-1.452685+1 4.993052-3-1.269111+1 5.199530-3-1.172648+1 5.363642-3-1.180094+1 5.532369-3-1.037035+1 5.721759-3-9.851169+0 5.884229-3-8.599834+0 6.128352-3-7.506335+0 6.551885-3-6.299662+0 6.874405-3-5.674235+0 7.328245-3-5.061124+0 7.986265-3-4.520642+0 8.857314-3-4.218252+0 9.857119-3-4.141894+0 1.123230-2-4.353437+0 1.278428-2-4.826848+0 1.445440-2-5.618561+0 1.561736-2-6.456176+0 1.640417-2-7.355816+0 1.688496-2-8.264296+0 1.717850-2-9.237503+0 1.735283-2-1.033564+1 1.755119-2-1.197817+1 1.764022-2-1.215657+1 1.775585-2-1.151975+1 1.795396-2-9.767019+0 1.812269-2-8.812061+0 1.843211-2-7.856734+0 1.890046-2-7.059552+0 1.955450-2-6.520476+0 2.026370-2-6.351646+0 2.086474-2-6.578284+0 2.122108-2-7.044743+0 2.163468-2-8.322617+0 2.177379-2-8.321755+0 2.209222-2-7.436701+0 2.249219-2-6.919100+0 2.295197-2-5.587799+0 2.338661-2-4.836371+0 2.403785-2-4.107329+0 2.486709-2-3.454918+0 2.602773-2-2.819964+0 2.717033-2-2.386009+0 2.856017-2-2.009053+0 2.975924-2-1.771316+0 3.130275-2-1.544373+0 3.315172-2-1.357303+0 3.573757-2-1.201648+0 3.852407-2-1.120237+0 4.221483-2-1.087641+0 4.678966-2-1.113856+0 5.763135-2-1.288984+0 8.706309-2-1.904305+0 9.788828-2-2.192721+0 1.065250-1-2.528098+0 1.116675-1-2.862899+0 1.146991-1-3.208113+0 1.164016-1-3.562590+0 1.175958-1-4.040050+0 1.187272-1-4.563611+0 1.194350-1-4.598808+0 1.203318-1-4.225232+0 1.217198-1-3.532606+0 1.231538-1-3.130205+0 1.254314-1-2.756520+0 1.286794-1-2.426203+0 1.338243-1-2.096697+0 1.400850-1-1.839902+0 1.493173-1-1.606467+0 1.599387-1-1.443245+0 1.728829-1-1.324140+0 1.916708-1-1.231020+0 2.245157-1-1.169157+0 3.011272-1-1.172576+0 5.737861-1-1.276045+0 1.070165+0-1.323329+0 3.231848+0-1.346233+0 9.803331+0-1.352486+0 1.000000+1-1.349945+0 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.111135-1 1.109921-6 1.812908-1 1.180093-6 2.435333-1 1.214276-6 2.808703-1 1.289497-6 3.817833-1 1.323620-6 4.377153-1 1.355610-6 4.970902-1 1.413717-6 6.251292-1 1.440077-6 6.932323-1 1.464788-6 7.642942-1 1.511122-6 9.165999-1 1.551665-6 1.073724+0 1.587140-6 1.233542+0 1.618180-6 1.393438+0 1.645340-6 1.551158+0 1.669106-6 1.706056+0 1.710695-6 2.016166+0 1.741887-6 2.286718+0 1.765281-6 2.517725+0 1.800372-6 2.914659+0 1.849016-6 3.578632+0 1.880640-6 4.107054+0 1.912264-6 4.732184+0 1.925818-6 5.035931+0 1.951592-6 5.679127+0 1.975755-6 6.371765+0 1.998409-6 7.118022+0 2.019646-6 7.919799+0 2.039556-6 8.778228+0 2.058222-6 9.694225+0 2.075721-6 1.066913+1 2.092127-6 1.170444+1 2.107507-6 1.280129+1 2.121926-6 1.396047+1 2.135443-6 1.518247+1 2.148116-6 1.646754+1 2.159997-6 1.781574+1 2.171135-6 1.922697+1 2.181577-6 2.070116+1 2.191366-6 2.223833+1 2.200544-6 2.383801+1 2.209148-6 2.549863+1 2.217214-6 2.721736+1 2.232338-6 3.094359+1 2.245572-6 3.487736+1 2.257152-6 3.899377+1 2.267284-6 4.326399+1 2.276149-6 4.765423+1 2.283907-6 5.212696+1 2.290694-6 5.664250+1 2.296633-6 6.116084+1 2.301830-6 6.564334+1 2.306377-6 7.005412+1 2.314335-6 7.916502+1 2.320303-6 8.752980+1 2.324779-6 9.496326+1 2.331494-6 1.086500+2 2.334851-6 1.169898+2 2.338208-6 1.266130+2 2.343963-6 1.469002+2 2.346841-6 1.592810+2 2.349718-6 1.734846+2 2.352596-6 1.897937+2 2.355474-6 2.085153+2 2.358351-6 2.299758+2 2.361229-6 2.545144+2 2.364106-6 2.824739+2 2.369862-6 3.499743+2 2.379685-6 5.060371+2 2.384488-6 6.022989+2 2.387415-6 6.671463+2 2.390342-6 7.362351+2 2.396197-6 8.847155+2 2.396929-6 9.039980+2 2.402052-6 1.041086+3 2.404064-6 1.095044+3 2.408586-6 1.213389+3 2.410976-6 1.272876+3 2.413659-6 1.335852+3 2.415900-6 1.384543+3 2.418781-6 1.440800+3 2.421708-6 1.489400+3 2.424412-6 1.525605+3 2.425837-6 1.541021+3 2.429267-6 1.567116+3 2.431863-6 1.576036+3 2.435435-6 1.572617+3 2.437582-6 1.561814+3 2.443306-6 1.502137+3 2.445132-6 1.474269+3 2.449427-6 1.393971+3 2.451691-6 1.344331+3 2.454744-6 1.270847+3 2.457717-6 1.193558+3 2.460599-6 1.114783+3 2.463160-6 1.042759+3 2.465836-6 9.666149+2 2.469381-6 8.660768+2 2.472308-6 7.847554+2 2.475601-6 6.965139+2 2.478163-6 6.310163+2 2.484018-6 4.940476+2 2.486030-6 4.515257+2 2.487951-6 4.132357+2 2.489872-6 3.772191+2 2.492434-6 3.327338+2 2.495727-6 2.813835+2 2.498901-6 2.378887+2 2.501947-6 2.013677+2 2.505838-6 1.615579+2 2.508115-6 1.415199+2 2.511851-6 1.132979+2 2.516045-6 8.765267+1 2.518047-6 7.737071+1 2.521051-6 6.400611+1 2.524054-6 5.280897+1 2.527160-6 4.317605+1 2.530266-6 3.522116+1 2.533373-6 2.867430+1 2.539585-6 1.890512+1 2.545798-6 1.239378+1 2.552010-6 8.110758+0 2.555117-6 6.578047+0 2.556670-6 5.934341+0 2.559000-6 5.103323+0 2.561329-6 4.416788+0 2.562883-6 4.031165+0 2.565212-6 3.550294+0 2.566377-6 3.350392+0 2.567542-6 3.175665+0 2.569095-6 2.979714+0 2.570187-6 2.865958+0 2.571354-6 2.765237+0 2.571954-6 2.721510+0 2.572855-6 2.665868+0 2.573755-6 2.621826+0 2.575308-6 2.572070+0 2.577638-6 2.556555+0 2.579967-6 2.607676+0 2.583074-6 2.772488+0 2.586180-6 3.040659+0 2.592393-6 3.864249+0 2.598605-6 5.046284+0 2.604818-6 6.571933+0 2.611031-6 8.439580+0 2.617243-6 1.065857+1 2.623456-6 1.324825+1 2.629668-6 1.623788+1 2.635881-6 1.966736+1 2.642094-6 2.358869+1 2.648306-6 2.806818+1 2.655906-6 3.443065+1 2.663030-6 4.144655+1 2.687344-6 7.677762+1 2.692503-6 8.769198+1 2.697340-6 9.958277+1 2.701874-6 1.125412+2 2.706125-6 1.266657+2 2.710111-6 1.420564+2 2.713847-6 1.588079+2 2.717350-6 1.770015+2 2.720634-6 1.966969+2 2.723713-6 2.179268+2 2.726599-6 2.406921+2 2.729305-6 2.649601+2 2.734378-6 3.196238+2 2.738818-6 3.794358+2 2.742702-6 4.430452+2 2.749075-6 5.755385+2 2.763028-6 1.030368+3 2.769169-6 1.322166+3 2.772516-6 1.508497+3 2.776710-6 1.770244+3 2.780119-6 2.006158+3 2.783528-6 2.262283+3 2.790346-6 2.829612+3 2.791198-6 2.905039+3 2.797164-6 3.453935+3 2.799507-6 3.676629+3 2.803981-6 4.105262+3 2.807443-6 4.433780+3 2.810799-6 4.743316+3 2.814261-6 5.047369+3 2.817617-6 5.321268+3 2.820600-6 5.542915+3 2.823356-6 5.726087+3 2.824861-6 5.816288+3 2.828855-6 6.018698+3 2.831975-6 6.136199+3 2.836028-6 6.231734+3 2.838523-6 6.257218+3 2.845204-6 6.199141+3 2.847039-6 6.151681+3 2.852132-6 5.953461+3 2.854853-6 5.810508+3 2.856688-6 5.701002+3 2.859375-6 5.523408+3 2.861985-6 5.333530+3 2.865341-6 5.068295+3 2.868324-6 4.816722+3 2.871200-6 4.563849+3 2.875568-6 4.168286+3 2.878976-6 3.856242+3 2.882811-6 3.508357+3 2.885794-6 3.243846+3 2.892612-6 2.672510+3 2.897193-6 2.322770+3 2.899430-6 2.163482+3 2.904543-6 1.829519+3 2.910434-6 1.497571+3 2.927465-6 8.294426+2 2.933576-6 6.760415+2 2.936489-6 6.152305+2 2.939312-6 5.628813+2 2.944780-6 4.773359+2 2.949906-6 4.129311+2 2.954712-6 3.635946+2 2.959217-6 3.250906+2 2.963441-6 2.944687+2 2.971361-6 2.479512+2 2.978291-6 2.157654+2 3.027730-6 8.533619+1 3.030990-6 8.046724+1 3.034249-6 7.612287+1 3.039837-6 7.001998+1 3.041699-6 6.839461+1 3.049149-6 6.414477+1 3.050081-6 6.388088+1 3.056600-6 6.379175+1 3.059160-6 6.461433+1 3.064050-6 6.752805+1 3.067076-6 7.019317+1 3.070444-6 7.389204+1 3.073150-6 7.738671+1 3.077499-6 8.387195+1 3.087331-6 1.014576+2 3.092220-6 1.109824+2 3.096062-6 1.184615+2 3.098681-6 1.234418+2 3.101766-6 1.290844+2 3.108750-6 1.404831+2 3.111311-6 1.440363+2 3.116200-6 1.496850+2 3.120126-6 1.530377+2 3.122000-6 1.542459+2 3.124810-6 1.555741+2 3.127621-6 1.563207+2 3.130353-6 1.564970+2 3.132403-6 1.562828+2 3.137013-6 1.547705+2 3.138550-6 1.539682+2 3.144138-6 1.499330+2 3.146000-6 1.482398+2 3.151588-6 1.423115+2 3.153451-6 1.401008+2 3.160901-6 1.304645+2 3.163905-6 1.263536+2 3.174360-6 1.119245+2 3.188017-6 9.465891+1 3.195567-6 8.648522+1 3.203117-6 7.939026+1 3.210666-6 7.331616+1 3.218216-6 6.814375+1 3.231267-6 6.091104+1 3.243502-6 5.557820+1 3.254972-6 5.145698+1 3.265726-6 4.814578+1 3.285888-6 4.295024+1 3.303531-6 3.917809+1 3.318968-6 3.631124+1 3.345983-6 3.202128+1 3.366244-6 2.926695+1 3.458474-6 1.976723+1 3.484012-6 1.768684+1 3.501037-6 1.637614+1 3.519815-6 1.498038+1 3.535087-6 1.387094+1 3.543600-6 1.325828+1 3.552113-6 1.264726+1 3.561991-6 1.193746+1 3.570426-6 1.132816+1 3.586163-6 1.017459+1 3.594676-6 9.536246+0 3.603188-6 8.884179+0 3.611701-6 8.216195+0 3.620213-6 7.531960+0 3.628726-6 6.835154+0 3.635305-6 6.294641+0 3.641062-6 5.828341+0 3.654363-6 4.839834+0 3.657737-6 4.627889+0 3.660690-6 4.462817+0 3.665857-6 4.232316+0 3.669732-6 4.120714+0 3.672639-6 4.079306+0 3.674818-6 4.075648+0 3.676453-6 4.089925+0 3.678599-6 4.132732+0 3.680668-6 4.201984+0 3.682190-6 4.271746+0 3.683219-6 4.328473+0 3.685019-6 4.447264+0 3.686369-6 4.553428+0 3.688394-6 4.741643+0 3.690419-6 4.966532+0 3.692685-6 5.264150+0 3.694384-6 5.520967+0 3.696613-6 5.903932+0 3.699622-6 6.507357+0 3.702339-6 7.142357+0 3.707560-6 8.615682+0 3.718878-6 1.301861+1 3.721424-6 1.423992+1 3.727624-6 1.754870+1 3.731552-6 1.987144+1 3.734551-6 2.174961+1 3.738006-6 2.400813+1 3.741743-6 2.654544+1 3.744786-6 2.866391+1 3.748547-6 3.131994+1 3.752273-6 3.396084+1 3.754268-6 3.536710+1 3.758588-6 3.836027+1 3.762681-6 4.108847+1 3.764769-6 4.242475+1 3.768370-6 4.461779+1 3.772253-6 4.679707+1 3.781031-6 5.084631+1 3.784518-6 5.206675+1 3.790092-6 5.351477+1 3.793207-6 5.404548+1 3.796180-6 5.436420+1 3.799154-6 5.450084+1 3.801419-6 5.448484+1 3.805666-6 5.418393+1 3.808215-6 5.384099+1 3.812745-6 5.295150+1 3.817276-6 5.173658+1 3.821807-6 5.023938+1 3.826337-6 4.850660+1 3.828602-6 4.756697+1 3.835398-6 4.452761+1 3.844460-6 4.017513+1 3.846725-6 3.906863+1 3.853521-6 3.577730+1 3.863475-6 3.119153+1 3.881736-6 2.405642+1 3.893260-6 2.053308+1 3.903716-6 1.793164+1 3.976904-6 7.625212+0 3.996481-6 5.928025+0 4.006269-6 5.248829+0 4.016058-6 4.698005+0 4.018505-6 4.580855+0 4.025847-6 4.277985+0 4.030273-6 4.129435+0 4.034498-6 4.010229+0 4.038722-6 3.911867+0 4.042845-6 3.834817+0 4.048256-6 3.760462+0 4.051734-6 3.728159+0 4.056595-6 3.703421+0 4.063854-6 3.714605+0 4.066274-6 3.733110+0 4.074790-6 3.874844+0 4.078155-6 3.972718+0 4.084579-6 4.249876+0 4.087887-6 4.450282+0 4.089990-6 4.602301+0 4.092750-6 4.834673+0 4.094525-6 5.005728+0 4.097681-6 5.356486+0 4.099840-6 5.634163+0 4.102117-6 5.963321+0 4.106101-6 6.638260+0 4.109089-6 7.235468+0 4.113011-6 8.150417+0 4.118514-6 9.711528+0 4.132770-6 1.548977+1 4.138866-6 1.879007+1 4.143736-6 2.178683+1 4.148796-6 2.522104+1 4.153001-6 2.830367+1 4.157093-6 3.147680+1 4.161818-6 3.531864+1 4.166410-6 3.918591+1 4.170757-6 4.291881+1 4.175204-6 4.675632+1 4.179508-6 5.043248+1 4.184051-6 5.421330+1 4.188612-6 5.784215+1 4.190396-6 5.920244+1 4.194468-6 6.215664+1 4.198855-6 6.506761+1 4.208626-6 7.032570+1 4.212507-6 7.188296+1 4.219657-6 7.389532+1 4.223207-6 7.447318+1 4.226427-6 7.475682+1 4.231711-6 7.473843+1 4.233868-6 7.456414+1 4.237643-6 7.403834+1 4.242599-6 7.294950+1 4.247377-6 7.151360+1 4.248970-6 7.095937+1 4.257795-6 6.731638+1 4.261577-6 6.551475+1 4.269141-6 6.162151+1 4.279227-6 5.611946+1 4.289313-6 5.062717+1 4.318102-6 3.716938+1 4.328500-6 3.342077+1 4.338898-6 3.024008+1 4.349296-6 2.755402+1 4.359170-6 2.538657+1 4.369469-6 2.345125+1 4.380491-6 2.167740+1 4.390889-6 2.023167+1 4.401287-6 1.896636+1 4.411685-6 1.785023+1 4.422083-6 1.685764+1 4.432481-6 1.596639+1 4.543459-6 8.865255+0 4.554642-6 8.195534+0 4.565825-6 7.541141+0 4.582600-6 6.640264+0 4.588191-6 6.379251+0 4.596513-6 6.046909+0 4.599374-6 5.951610+0 4.604316-6 5.814219+0 4.615434-6 5.655141+0 4.619140-6 5.655996+0 4.622153-6 5.678986+0 4.631192-6 5.878060+0 4.635072-6 6.027332+0 4.642480-6 6.424590+0 4.646884-6 6.731771+0 4.651087-6 7.074180+0 4.655290-6 7.463523+0 4.662673-6 8.254671+0 4.677656-6 1.020845+1 4.686044-6 1.143472+1 4.690237-6 1.206198+1 4.695130-6 1.279267+1 4.700023-6 1.351050+1 4.711419-6 1.506490+1 4.712854-6 1.524364+1 4.722903-6 1.634933+1 4.727831-6 1.678406+1 4.734386-6 1.723733+1 4.739769-6 1.749665+1 4.744165-6 1.763084+1 4.747462-6 1.768565+1 4.752407-6 1.769531+1 4.757353-6 1.762077+1 4.762237-6 1.746907+1 4.767121-6 1.724567+1 4.775484-6 1.671725+1 4.778272-6 1.650591+1 4.789224-6 1.554667+1 4.800512-6 1.442278+1 4.814770-6 1.296517+1 4.828436-6 1.167453+1 4.839219-6 1.080094+1 4.846673-6 1.029097+1 4.851130-6 1.002597+1 4.858477-6 9.656535+0 4.869498-6 9.261531+0 4.880518-6 9.053498+0 4.887336-6 9.013523+0 4.894153-6 9.036486+0 4.899197-6 9.090951+0 4.908025-6 9.254630+0 4.914646-6 9.426389+0 4.927059-6 9.831691+0 4.946419-6 1.055437+1 4.959166-6 1.098682+1 4.962218-6 1.107608+1 4.971373-6 1.129848+1 4.974424-6 1.135552+1 4.983579-6 1.146965+1 4.989178-6 1.149559+1 4.993377-6 1.149313+1 5.002825-6 1.142194+1 5.011930-6 1.127666+1 5.017886-6 1.114843+1 5.029797-6 1.083777+1 5.058802-6 1.002520+1 5.066576-6 9.844116+0 5.077441-6 9.636432+0 5.086779-6 9.501701+0 5.099208-6 9.378727+0 5.117455-6 9.281193+0 5.159405-6 9.148240+0 5.175414-6 9.071752+0 5.210897-6 8.852524+0 5.299540-6 8.271438+0 5.317803-6 8.174875+0 5.341724-6 8.092192+0 5.359140-6 8.076774+0 5.377015-6 8.105262+0 5.402109-6 8.206800+0 5.436633-6 8.368942+0 5.457978-6 8.414039+0 5.475324-6 8.397307+0 5.488801-6 8.350341+0 5.509320-6 8.231921+0 5.563780-6 7.819529+0 5.590880-6 7.656990+0 5.608871-6 7.580310+0 5.645256-6 7.485587+0 5.686038-6 7.405457+0 5.726820-6 7.281824+0 5.786985-6 7.029122+0 5.856150-6 6.706128+0 5.874851-6 6.618494+0 5.903858-6 6.506889+0 5.918081-6 6.474226+0 5.935086-6 6.464113+0 5.950174-6 6.486662+0 5.960833-6 6.521606+0 5.976821-6 6.602038+0 5.992975-6 6.711149+0 6.022165-6 6.939309+0 6.036950-6 7.046212+0 6.052370-6 7.135255+0 6.067683-6 7.191776+0 6.084989-6 7.211233+0 6.097413-6 7.195818+0 6.109453-6 7.159356+0 6.122128-6 7.101337+0 6.136235-6 7.018224+0 6.181996-6 6.686799+0 6.223474-6 6.404738+0 6.247402-6 6.272315+0 6.293932-6 6.074272+0 6.448230-6 5.598281+0 6.480000-6 5.530096+0 6.511405-6 5.498748+0 6.542992-6 5.504297+0 6.590374-6 5.538841+0 6.621961-6 5.536157+0 6.654469-6 5.489034+0 6.685228-6 5.407184+0 6.754474-6 5.189942+0 6.803744-6 5.081826+0 6.904290-6 4.934276+0 7.200173-6 4.438601+0 7.280726-6 4.290599+0 7.408924-6 4.026417+0 7.463442-6 3.931575+0 7.555520-6 3.795650+0 7.762471-6 3.490849+0 8.035261-6 3.096598+0 8.192000-6 2.871842+0 8.420000-6 2.551506+0 8.725990-6 2.142240+0 9.015711-6 1.780889+0 9.120108-6 1.657634+0 9.332543-6 1.419048+0 9.549926-6 1.192658+0 9.665331-6 1.081055+0 1.004279-5 7.467229-1 1.035142-5 5.162886-1 1.039665-5 4.867310-1 1.072840-5 3.008478-1 1.089229-5 2.310072-1 1.103942-5 1.845305-1 1.118521-5 1.533036-1 1.132644-5 1.379001-1 1.146326-5 1.377808-1 1.157625-5 1.495566-1 1.159580-5 1.527646-1 1.172420-5 1.827609-1 1.184859-5 2.272540-1 1.196910-5 2.858733-1 1.208583-5 3.582903-1 1.225494-5 4.914829-1 1.241460-5 6.510233-1 1.261546-5 8.830506-1 1.272858-5 9.668495-1 1.273439-5 9.687883-1 1.296986-5 8.852539-1 1.313811-5 7.680166-1 1.329601-5 6.635839-1 1.344522-5 5.722809-1 1.358548-5 4.946086-1 1.384210-5 3.775408-1 1.395851-5 3.374130-1 1.406764-5 3.089708-1 1.416995-5 2.917616-1 1.426587-5 2.849437-1 1.444572-5 2.983661-1 1.460309-5 3.425174-1 1.474078-5 4.115500-1 1.486126-5 4.998994-1 1.496669-5 6.019599-1 1.515118-5 8.420814-1 1.539332-5 1.305379+0 1.554899-5 1.715104+0 1.570465-5 2.228601+0 1.582061-5 2.692010+0 1.593658-5 3.236923+0 1.605254-5 3.875016+0 1.616851-5 4.620087+0 1.640044-5 6.500228+0 1.659267-5 8.556069+0 1.723550-5 2.075721+1 1.736001-5 2.461259+1 1.748452-5 2.920703+1 1.760903-5 3.470865+1 1.769204-5 3.898682+1 1.779791-5 4.529125+1 1.791580-5 5.364881+1 1.799022-5 5.979981+1 1.807746-5 6.805141+1 1.815925-5 7.699808+1 1.823592-5 8.665363+1 1.830780-5 9.702524+1 1.837519-5 1.081162+2 1.846180-5 1.247049+2 1.855313-5 1.457183+2 1.860518-5 1.596849+2 1.865399-5 1.743487+2 1.870801-5 1.926444+2 1.874263-5 2.056872+2 1.882598-5 2.421856+2 1.889343-5 2.783553+2 1.895501-5 3.182588+2 1.900889-5 3.602477+2 1.905603-5 4.039992+2 1.909728-5 4.490579+2 1.913338-5 4.948391+2 1.916496-5 5.406751+2 1.919259-5 5.858819+2 1.924095-5 6.782820+2 1.927723-5 7.603045+2 1.932483-5 8.868620+2 1.943375-5 1.268325+3 1.948147-5 1.479010+3 1.952919-5 1.718117+3 1.964848-5 2.475006+3 1.967233-5 2.666665+3 1.969619-5 2.878662+3 1.972005-5 3.115452+3 1.975584-5 3.528831+3 1.976777-5 3.685193+3 1.981548-5 4.426418+3 1.984531-5 5.002489+3 1.988397-5 5.906415+3 1.993477-5 7.406647+3 1.999279-5 9.598388+3 2.003027-5 1.128343+4 2.005245-5 1.236980+4 2.008056-5 1.382563+4 2.010341-5 1.505910+4 2.013751-5 1.694614+4 2.016293-5 1.835624+4 2.018436-5 1.952308+4 2.020761-5 2.074402+4 2.023163-5 2.193069+4 2.025297-5 2.289961+4 2.027654-5 2.385532+4 2.028345-5 2.410978+4 2.031214-5 2.502391+4 2.033453-5 2.556516+4 2.035811-5 2.595732+4 2.038184-5 2.615945+4 2.040267-5 2.617400+4 2.042572-5 2.601297+4 2.044249-5 2.578128+4 2.046344-5 2.536145+4 2.048500-5 2.478693+4 2.050540-5 2.412114+4 2.053083-5 2.314227+4 2.055077-5 2.227539+4 2.057317-5 2.121590+4 2.059187-5 2.027497+4 2.061591-5 1.901010+4 2.064397-5 1.748589+4 2.066852-5 1.613652+4 2.067849-5 1.558938+4 2.069956-5 1.444498+4 2.072098-5 1.330644+4 2.077058-5 1.082129+4 2.078778-5 1.002293+4 2.080419-5 9.295473+3 2.082060-5 8.603507+3 2.085603-5 7.235408+3 2.088415-5 6.273346+3 2.092706-5 5.011418+3 2.097756-5 3.822197+3 2.105501-5 2.520000+3 2.108083-5 2.199585+3 2.110665-5 1.925084+3 2.113267-5 1.688775+3 2.115828-5 1.490385+3 2.118410-5 1.319778+3 2.121708-5 1.137881+3 2.123573-5 1.050178+3 2.125699-5 9.616049+2 2.128888-5 8.481368+2 2.132076-5 7.538844+2 2.135570-5 6.682042+2 2.139063-5 5.970260+2 2.141645-5 5.518452+2 2.144227-5 5.117839+2 2.149390-5 4.437073+2 2.154553-5 3.876248+2 2.161683-5 3.243489+2 2.169664-5 2.697416+2 2.172324-5 2.554287+2 2.175482-5 2.412033+2 2.177645-5 2.332969+2 2.179228-5 2.284968+2 2.180811-5 2.245528+2 2.182966-5 2.205842+2 2.184795-5 2.184927+2 2.188286-5 2.177278+2 2.189816-5 2.186891+2 2.192215-5 2.217005+2 2.193360-5 2.237478+2 2.195078-5 2.275010+2 2.197931-5 2.353442+2 2.201498-5 2.473983+2 2.209569-5 2.789507+2 2.214308-5 2.964356+2 2.214890-5 2.983814+2 2.220634-5 3.140866+2 2.223003-5 3.183688+2 2.224901-5 3.207659+2 2.226984-5 3.223089+2 2.229900-5 3.225634+2 2.232359-5 3.211161+2 2.234079-5 3.192595+2 2.236745-5 3.151377+2 2.239424-5 3.096734+2 2.243637-5 2.990138+2 2.248120-5 2.859445+2 2.259578-5 2.521516+2 2.262428-5 2.448230+2 2.266667-5 2.351613+2 2.270819-5 2.271820+2 2.275656-5 2.196096+2 2.277291-5 2.174194+2 2.286585-5 2.075470+2 2.310756-5 1.888942+2 2.344250-5 1.640215+2 2.362152-5 1.531953+2 2.371374-5 1.482843+2 2.393073-5 1.379705+2 2.542357-5 8.727013+1 2.601790-5 7.283691+1 2.704254-5 5.317532+1 2.724210-5 5.031445+1 2.737588-5 4.866317+1 2.750966-5 4.727829+1 2.764343-5 4.621483+1 2.777721-5 4.551610+1 2.791099-5 4.516891+1 2.816182-5 4.504625+1 2.831232-5 4.512910+1 2.837921-5 4.531080+1 2.844610-5 4.569859+1 2.847954-5 4.600612+1 2.851298-5 4.641222+1 2.855005-5 4.700090+1 2.858596-5 4.773664+1 2.862075-5 4.863256+1 2.865445-5 4.970071+1 2.868710-5 5.095232+1 2.871873-5 5.239808+1 2.874937-5 5.404849+1 2.877905-5 5.591408+1 2.880780-5 5.800566+1 2.883566-5 6.033457+1 2.886265-5 6.291277+1 2.891493-5 6.897594+1 2.896395-5 7.624060+1 2.900990-5 8.483768+1 2.905298-5 9.490703+1 2.909337-5 1.065902+2 2.913123-5 1.200213+2 2.916673-5 1.353166+2 2.920060-5 1.529021+2 2.923121-5 1.718241+2 2.926046-5 1.931074+2 2.928788-5 2.163899+2 2.931358-5 2.416050+2 2.933769-5 2.686477+2 2.938146-5 3.276343+2 2.942118-5 3.942449+2 2.948634-5 5.372887+2 2.957442-5 8.172354+2 2.962755-5 1.046970+3 2.966897-5 1.263764+3 2.971233-5 1.529833+3 2.974981-5 1.794270+3 2.977229-5 1.968878+3 2.980884-5 2.278672+3 2.984539-5 2.620595+3 2.992306-5 3.448518+3 2.994020-5 3.647962+3 2.999160-5 4.276021+3 3.001972-5 4.634721+3 3.006470-5 5.221490+3 3.008937-5 5.546080+3 3.011577-5 5.891870+3 3.014542-5 6.274299+3 3.017018-5 6.585577+3 3.020202-5 6.969983+3 3.022251-5 7.205423+3 3.025806-5 7.585965+3 3.028857-5 7.879283+3 3.033140-5 8.229932+3 3.036485-5 8.447716+3 3.040326-5 8.631337+3 3.043630-5 8.729135+3 3.045821-5 8.762489+3 3.049203-5 8.764229+3 3.052557-5 8.706954+3 3.057992-5 8.494642+3 3.061072-5 8.313351+3 3.065050-5 8.020987+3 3.066977-5 7.858148+3 3.070251-5 7.554103+3 3.072606-5 7.316737+3 3.075698-5 6.985830+3 3.079672-5 6.535827+3 3.083389-5 6.098891+3 3.087106-5 5.655008+3 3.091091-5 5.180203+3 3.094191-5 4.817000+3 3.101501-5 4.001691+3 3.104219-5 3.718522+3 3.109408-5 3.214403+3 3.115701-5 2.672987+3 3.126678-5 1.917118+3 3.131597-5 1.651686+3 3.136281-5 1.436439+3 3.139143-5 1.321271+3 3.144485-5 1.135874+3 3.148336-5 1.023363+3 3.152187-5 9.261562+2 3.156038-5 8.422723+2 3.159889-5 7.698944+2 3.163740-5 7.073888+2 3.167591-5 6.533124+2 3.172031-5 5.997998+2 3.176470-5 5.542014+2 3.183618-5 4.941338+2 3.189260-5 4.559688+2 3.194176-5 4.280665+2 3.199091-5 4.043644+2 3.204960-5 3.808062+2 3.213802-5 3.536966+2 3.221504-5 3.371903+2 3.229206-5 3.264300+2 3.232527-5 3.233635+2 3.237510-5 3.203348+2 3.242686-5 3.189367+2 3.249039-5 3.191883+2 3.252966-5 3.201688+2 3.277203-5 3.303133+2 3.283953-5 3.318838+2 3.290108-5 3.322293+2 3.295347-5 3.316658+2 3.305882-5 3.283666+2 3.323372-5 3.188118+2 3.346352-5 3.057236+2 3.361456-5 2.994428+2 3.380803-5 2.939273+2 3.414673-5 2.858990+2 3.427678-5 2.822121+2 3.483079-5 2.651931+2 3.511565-5 2.583771+2 3.565488-5 2.486500+2 3.615489-5 2.415963+2 3.700000-5 2.325767+2 3.796427-5 2.253653+2 3.852298-5 2.222888+2 3.937834-5 2.187057+2 4.051260-5 2.155650+2 4.197192-5 2.137850+2 4.373087-5 2.136528+2 4.628850-5 2.160465+2 4.940000-5 2.198981+2 4.961265-5 2.206775+2 4.988589-5 2.227162+2 5.014036-5 2.258796+2 5.061871-5 2.334138+2 5.086099-5 2.362697+2 5.104038-5 2.374456+2 5.118358-5 2.378292+2 5.199384-5 2.374306+2 5.242180-5 2.389171+2 5.338115-5 2.434810+2 5.763750-5 2.573429+2 6.102263-5 2.664470+2 6.390300-5 2.718801+2 6.683439-5 2.740966+2 6.918310-5 2.729619+2 7.161434-5 2.690738+2 7.361606-5 2.631621+2 7.548071-5 2.555584+2 7.717412-5 2.466442+2 7.894174-5 2.352488+2 8.190628-5 2.131263+2 8.239453-5 2.124470+2 8.388031-5 2.246952+2 8.509756-5 2.418084+2 8.625447-5 2.615501+2 8.747660-5 2.870139+2 8.861034-5 3.160218+2 8.964107-5 3.482304+2 9.062327-5 3.857485+2 9.143012-5 4.231113+2 9.221275-5 4.667144+2 9.269668-5 4.982441+2 9.332543-5 5.456877+2 9.375106-5 5.827955+2 9.434829-5 6.433313+2 9.471419-5 6.864066+2 9.502731-5 7.276424+2 9.549926-5 7.989171+2 9.601496-5 8.923656+2 9.646613-5 9.914289+2 9.681878-5 1.083484+3 9.724123-5 1.215904+3 9.737096-5 1.262570+3 9.769406-5 1.394190+3 9.797676-5 1.531689+3 9.830400-5 1.725867+3 9.844058-5 1.821292+3 9.862997-5 1.971488+3 9.879569-5 2.123662+3 9.900000-5 2.344936+3 9.910821-5 2.480583+3 9.928961-5 2.743434+3 9.945614-5 3.032439+3 9.958103-5 3.285801+3 9.967470-5 3.499962+3 9.982235-5 3.886202+3 9.995572-5 4.294290+3 1.002017-4 5.225477+3 1.003248-4 5.793330+3 1.004478-4 6.439845+3 1.006938-4 7.999667+3 1.011314-4 1.179004+4 1.013320-4 1.399713+4 1.014715-4 1.570171+4 1.016110-4 1.753428+4 1.018599-4 2.106670+4 1.018910-4 2.152662+4 1.021087-4 2.480969+4 1.021943-4 2.611057+4 1.023576-4 2.856436+4 1.024565-4 3.000699+4 1.025623-4 3.149194+4 1.026860-4 3.312405+4 1.027804-4 3.427604+4 1.029081-4 3.567782+4 1.030157-4 3.670032+4 1.031346-4 3.763860+4 1.032552-4 3.836546+4 1.033832-4 3.887322+4 1.034288-4 3.898576+4 1.035594-4 3.910491+4 1.036701-4 3.896889+4 1.039002-4 3.800384+4 1.040143-4 3.720115+4 1.041797-4 3.569238+4 1.042971-4 3.440261+4 1.043958-4 3.319625+4 1.045014-4 3.180094+4 1.046200-4 3.012920+4 1.047190-4 2.866766+4 1.048464-4 2.672948+4 1.049708-4 2.480171+4 1.050953-4 2.287062+4 1.052353-4 2.072712+4 1.053443-4 1.910307+4 1.055930-4 1.561099+4 1.056209-4 1.524263+4 1.060388-4 1.037220+4 1.061900-4 8.928586+3 1.063571-4 7.527654+3 1.066078-4 5.785595+3 1.072098-4 3.036165+3 1.073700-4 2.563658+3 1.075114-4 2.214533+3 1.077953-4 1.674260+3 1.082759-4 1.158689+3 1.084508-4 1.085127+3 1.086211-4 1.075305+3 1.087428-4 1.108845+3 1.088401-4 1.162047+3 1.089214-4 1.225696+3 1.089950-4 1.299398+3 1.090821-4 1.407449+3 1.091171-4 1.457623+3 1.091809-4 1.559116+3 1.092413-4 1.667917+3 1.093465-4 1.888120+3 1.094865-4 2.245481+3 1.095937-4 2.571754+3 1.100181-4 4.354463+3 1.101182-4 4.894628+3 1.103110-4 6.062421+3 1.104401-4 6.935228+3 1.105822-4 7.973014+3 1.106880-4 8.791979+3 1.107423-4 9.226383+3 1.109295-4 1.078091+4 1.110618-4 1.191677+4 1.111708-4 1.286335+4 1.112903-4 1.390038+4 1.114192-4 1.500125+4 1.115494-4 1.607659+4 1.116756-4 1.706669+4 1.117185-4 1.738777+4 1.118829-4 1.853370+4 1.120124-4 1.932447+4 1.121576-4 2.007269+4 1.122587-4 2.049865+4 1.124980-4 2.116675+4 1.125985-4 2.129860+4 1.127190-4 2.133899+4 1.128508-4 2.123804+4 1.129340-4 2.109869+4 1.130528-4 2.080271+4 1.131292-4 2.055549+4 1.132056-4 2.026658+4 1.132962-4 1.987380+4 1.134150-4 1.928360+4 1.135679-4 1.841851+4 1.137027-4 1.757659+4 1.138375-4 1.668056+4 1.140481-4 1.521650+4 1.141071-4 1.480030+4 1.144079-4 1.269970+4 1.145253-4 1.191162+4 1.147894-4 1.025035+4 1.153510-4 7.389433+3 1.156022-4 6.425031+3 1.158036-4 5.781401+3 1.160141-4 5.218043+3 1.161739-4 4.856045+3 1.163297-4 4.550337+3 1.166278-4 4.073643+3 1.169260-4 3.707751+3 1.172731-4 3.380924+3 1.175663-4 3.163158+3 1.179719-4 2.921690+3 1.184125-4 2.713177+3 1.187924-4 2.565021+3 1.191950-4 2.432120+3 1.195000-4 2.344810+3 1.202708-4 2.164035+3 1.210143-4 2.030217+3 1.217700-4 1.923217+3 1.224147-4 1.849307+3 1.232000-4 1.775870+3 1.243152-4 1.694855+3 1.255307-4 1.628578+3 1.266421-4 1.581955+3 1.279162-4 1.540130+3 1.295245-4 1.499215+3 1.310720-4 1.467915+3 1.368945-4 1.378875+3 1.767721-4 9.592164+2 1.959899-4 8.243901+2 2.018366-4 7.857114+2 2.049306-4 7.645344+2 2.068345-4 7.505499+2 2.094857-4 7.287285+2 2.120924-4 7.075098+2 2.133672-4 7.009966+2 2.147015-4 6.986036+2 2.176156-4 7.018639+2 2.197204-4 7.021688+2 2.218138-4 6.991787+2 2.280711-4 6.847771+2 2.387401-4 6.565682+2 2.448921-4 6.393747+2 2.570396-4 6.037890+2 2.636545-4 5.840670+2 2.678102-4 5.702396+2 2.735454-4 5.463919+2 2.749288-4 5.427308+2 2.765019-4 5.418231+2 2.783168-4 5.447049+2 2.805414-4 5.496683+2 2.830047-4 5.511296+2 2.848339-4 5.490670+2 3.025484-4 5.180181+2 3.181091-4 4.903968+2 3.364089-4 4.534723+2 3.424946-4 4.407639+2 3.482686-4 4.332989+2 3.534485-4 4.258617+2 3.680098-4 3.992520+2 3.840000-4 3.663756+2 3.943413-4 3.432286+2 4.055985-4 3.153003+2 4.132880-4 2.933355+2 4.182162-4 2.770498+2 4.226298-4 2.621430+2 4.246886-4 2.566473+2 4.268047-4 2.526390+2 4.326803-4 2.457564+2 4.351038-4 2.419118+2 4.383034-4 2.354867+2 4.413399-4 2.283675+2 4.446191-4 2.195707+2 4.501000-4 2.035682+2 4.529486-4 1.952134+2 4.565726-4 1.843579+2 4.607000-4 1.713747+2 4.640000-4 1.605974+2 4.670176-4 1.506619+2 4.755413-4 1.245596+2 4.781838-4 1.178010+2 4.804375-4 1.128091+2 4.827483-4 1.085678+2 4.855362-4 1.048151+2 4.864977-4 1.039030+2 4.887483-4 1.025998+2 4.915200-4 1.027093+2 4.942435-4 1.048036+2 4.964364-4 1.080110+2 4.991939-4 1.140500+2 5.033182-4 1.273309+2 5.069907-4 1.434698+2 5.088385-4 1.531332+2 5.117539-4 1.704720+2 5.205000-4 2.371196+2 5.236474-4 2.658948+2 5.254100-4 2.829483+2 5.290000-4 3.195131+2 5.342489-4 3.765672+2 5.390000-4 4.308432+2 5.432985-4 4.813527+2 5.448752-4 5.000956+2 5.480000-4 5.374415+2 5.503020-4 5.650372+2 5.560000-4 6.332734+2 5.607500-4 6.897031+2 5.663168-4 7.547621+2 5.736726-4 8.383044+2 5.789381-4 8.961084+2 5.845112-4 9.551067+2 5.905765-4 1.016359+3 6.003276-4 1.108245+3 6.106631-4 1.197558+3 6.237348-4 1.300553+3 6.382635-4 1.403524+3 6.535293-4 1.498867+3 6.645076-4 1.559832+3 6.780569-4 1.628375+3 6.944328-4 1.700307+3 7.140852-4 1.773366+3 7.293328-4 1.818250+3 7.454640-4 1.853648+3 7.590135-4 1.875170+3 7.688730-4 1.929234+3 7.728299-4 1.991923+3 7.747431-4 2.033834+3 7.788091-4 2.140686+3 7.837519-4 2.264317+3 7.860714-4 2.301630+3 7.879780-4 2.317302+3 7.898996-4 2.318777+3 7.920739-4 2.304920+3 7.946364-4 2.273307+3 7.994126-4 2.201215+3 8.012167-4 2.178351+3 8.028751-4 2.161883+3 8.066051-4 2.142913+3 8.127646-4 2.160833+3 8.156857-4 2.186519+3 8.199651-4 2.241483+3 8.261090-4 2.347260+3 8.317638-4 2.438786+3 8.336755-4 2.459885+3 8.357668-4 2.474877+3 8.376180-4 2.480930+3 8.398149-4 2.480219+3 8.502293-4 2.434051+3 8.531123-4 2.429360+3 8.553721-4 2.430554+3 8.643883-4 2.463380+3 8.802500-4 2.537218+3 9.035939-4 2.623439+3 9.372559-4 2.724545+3 9.745577-4 2.809640+3 1.011360-3 2.866790+3 1.044533-3 2.898453+3 1.079625-3 2.905668+3 1.086719-3 2.910611+3 1.092137-3 2.919527+3 1.101306-3 2.946004+3 1.130674-3 3.065507+3 1.144835-3 3.108368+3 1.171877-3 3.163218+3 1.212024-3 3.219094+3 1.258926-3 3.264887+3 1.294890-3 3.289610+3 1.374500-3 3.324688+3 1.408478-3 3.348205+3 1.454190-3 3.360013+3 1.517924-3 3.354275+3 1.534720-3 3.359207+3 1.578065-3 3.388370+3 1.618103-3 3.399704+3 1.686068-3 3.404185+3 1.755484-3 3.400401+3 1.843423-3 3.380448+3 1.933081-3 3.352745+3 2.045969-3 3.310317+3 2.156503-3 3.258884+3 2.288036-3 3.189566+3 2.406951-3 3.122283+3 2.546006-3 3.033368+3 2.672636-3 2.946911+3 2.813867-3 2.841390+3 2.939021-3 2.740011+3 3.066862-3 2.628746+3 3.169400-3 2.530498+3 3.267083-3 2.421309+3 3.344995-3 2.327194+3 3.423210-3 2.221817+3 3.486131-3 2.125178+3 3.535360-3 2.038546+3 3.576697-3 1.954518+3 3.611512-3 1.871862+3 3.641884-3 1.786919+3 3.666077-3 1.709307+3 3.697744-3 1.603436+3 3.715061-3 1.555251+3 3.724862-3 1.535241+3 3.735805-3 1.521085+3 3.742890-3 1.516969+3 3.752403-3 1.517725+3 3.760914-3 1.524112+3 3.769970-3 1.536038+3 3.788083-3 1.571520+3 3.833924-3 1.685025+3 3.861082-3 1.745206+3 3.913685-3 1.845424+3 3.934519-3 1.897135+3 3.961850-3 1.983864+3 4.003460-3 2.131998+3 4.039141-3 2.251789+3 4.066134-3 2.334277+3 4.080807-3 2.375032+3 4.102737-3 2.429311+3 4.130804-3 2.486818+3 4.161115-3 2.535856+3 4.199933-3 2.583759+3 4.243660-3 2.622900+3 4.285859-3 2.648687+3 4.333956-3 2.665455+3 4.378769-3 2.668970+3 4.414820-3 2.661651+3 4.488669-3 2.628878+3 4.504858-3 2.627253+3 4.521458-3 2.632142+3 4.535116-3 2.642152+3 4.561559-3 2.676891+3 4.634069-3 2.816307+3 4.657602-3 2.853880+3 4.685464-3 2.888865+3 4.722371-3 2.922676+3 4.762689-3 2.948998+3 4.821269-3 2.975861+3 4.874320-3 2.992895+3 4.948707-3 3.008938+3 5.013590-3 3.016869+3 5.097417-3 3.019183+3 5.178882-3 3.013668+3 5.258175-3 3.001992+3 5.331915-3 2.985072+3 5.435001-3 2.947954+3 5.506537-3 2.921375+3 5.549400-3 2.917462+3 5.683509-3 2.941414+3 5.772457-3 2.935038+3 5.887042-3 2.916913+3 6.081605-3 2.939635+3 6.240996-3 2.929182+3 6.451898-3 2.898745+3 6.737004-3 2.844795+3 7.228738-3 2.736320+3 7.629569-3 2.644675+3 8.184071-3 2.512537+3 8.826153-3 2.362295+3 9.836747-3 2.141240+3 1.063162-2 1.983108+3 1.158944-2 1.808649+3 1.263416-2 1.638416+3 1.319433-2 1.554041+3 1.371968-2 1.478805+3 1.431913-2 1.397110+3 1.482491-2 1.330292+3 1.531087-2 1.268141+3 1.570839-2 1.217591+3 1.608051-2 1.170297+3 1.639142-2 1.130225+3 1.665185-2 1.095718+3 1.687784-2 1.064484+3 1.707948-2 1.034868+3 1.724248-2 1.008948+3 1.738195-2 9.843598+2 1.749199-2 9.623406+2 1.757968-2 9.423831+2 1.770965-2 9.084161+2 1.788345-2 8.621425+2 1.794675-2 8.497139+2 1.799959-2 8.429346+2 1.806411-2 8.399262+2 1.811941-2 8.420402+2 1.819086-2 8.503106+2 1.832092-2 8.746465+2 1.844251-2 8.979967+2 1.850378-2 9.076605+2 1.856893-2 9.159898+2 1.865472-2 9.241133+2 1.875627-2 9.303932+2 1.887286-2 9.344784+2 1.901366-2 9.364878+2 1.916461-2 9.362625+2 1.934638-2 9.337318+2 1.954410-2 9.289237+2 1.981211-2 9.199122+2 2.029326-2 8.986517+2 2.079173-2 8.715183+2 2.122386-2 8.435060+2 2.141041-2 8.295657+2 2.158370-2 8.149794+2 2.172603-2 8.012485+2 2.192366-2 7.789436+2 2.217890-2 7.497567+2 2.229220-2 7.412304+2 2.239621-2 7.375341+2 2.250235-2 7.375246+2 2.317618-2 7.537843+2 2.355067-2 7.684538+2 2.377156-2 7.735042+2 2.410000-2 7.744791+2 2.455334-2 7.697623+2 2.502331-2 7.614144+2 2.600160-2 7.389718+2 2.709173-2 7.104859+2 2.842313-2 6.744503+2 3.053204-2 6.192988+2 3.320978-2 5.563744+2 3.608621-2 4.977721+2 3.903225-2 4.457845+2 4.308633-2 3.852190+2 4.797955-2 3.265174+2 5.211150-2 2.862828+2 5.678393-2 2.483415+2 6.420670-2 2.010683+2 7.590553-2 1.497060+2 8.617908-2 1.190561+2 9.345202-2 1.024543+2 1.010488-1 8.817349+1 1.044567-1 8.250738+1 1.096951-1 7.442067+1 1.117595-1 7.136698+1 1.135291-1 6.876364+1 1.161449-1 6.482442+1 1.170656-1 6.335409+1 1.179073-1 6.192130+1 1.186095-1 6.061659+1 1.195661-1 5.860486+1 1.211974-1 5.494635+1 1.216877-1 5.414975+1 1.222087-1 5.365153+1 1.226660-1 5.354085+1 1.232461-1 5.378306+1 1.248132-1 5.526083+1 1.256309-1 5.580685+1 1.267077-1 5.609531+1 1.274341-1 5.609589+1 1.292674-1 5.573684+1 1.314368-1 5.496934+1 1.346727-1 5.352056+1 1.388439-1 5.147523+1 1.431955-1 4.928703+1 1.494722-1 4.618850+1 1.605343-1 4.117085+1 1.742477-1 3.585634+1 1.942903-1 2.966978+1 2.213677-1 2.350722+1 2.619408-1 1.730370+1 3.211580-1 1.185580+1 3.986805-1 7.883996+0 5.281697-1 4.602045+0 7.615171-1 2.265834+0 1.173413+0 9.738100-1 1.776032+0 4.301539-1 3.231848+0 1.309366-1 9.760024+0 1.440514-2 2.947480+1 1.579636-3 8.901248+1 1.732044-4 2.688134+2 1.899149-5 8.118035+2 2.082375-6 2.511886+3 2.175008-7 7.943282+3 2.175008-8 2.511886+4 2.175008-9 7.943282+4 2.17501-10 1.000000+5 1.37234-10 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.821500-6 1.258900-6 4.471700-6 1.584900-6 7.087200-6 1.995300-6 1.123200-5 2.511900-6 1.780200-5 3.162300-6 2.821400-5 3.981100-6 4.471700-5 5.011900-6 7.087100-5 6.309600-6 1.123200-4 7.943300-6 1.780200-4 1.000000-5 2.821300-4 1.258900-5 4.471400-4 1.584900-5 7.082900-4 1.995300-5 1.121800-3 2.511900-5 1.776900-3 3.162300-5 2.814900-3 3.981100-5 4.459900-3 5.011900-5 7.066700-3 6.309600-5 1.119800-2 7.943300-5 1.771500-2 1.000000-4 2.801500-2 1.258900-4 4.427300-2 1.584900-4 6.982800-2 1.995300-4 1.097800-1 2.511900-4 1.718300-1 3.162300-4 2.670400-1 3.981100-4 4.102200-1 5.011900-4 6.168000-1 6.309600-4 9.036000-1 7.943300-4 1.282900+0 1.000000-3 1.763800+0 1.258900-3 2.360600+0 1.584900-3 3.107900+0 1.995300-3 4.050600+0 2.511900-3 5.217000+0 3.162300-3 6.619900+0 3.981100-3 8.283000+0 5.011900-3 1.020700+1 6.309600-3 1.237500+1 7.943300-3 1.481100+1 1.000000-2 1.755600+1 1.258900-2 2.057900+1 1.584900-2 2.372500+1 1.995300-2 2.678900+1 2.511900-2 2.969800+1 3.162300-2 3.243000+1 3.981100-2 3.472300+1 5.011900-2 3.681800+1 6.309600-2 3.812200+1 7.943300-2 3.875200+1 1.000000-1 3.873300+1 1.258900-1 3.809400+1 1.584900-1 3.689400+1 1.995300-1 3.524400+1 2.511900-1 3.326600+1 3.162300-1 3.109400+1 3.981100-1 2.879700+1 5.011900-1 2.645400+1 6.309600-1 2.412000+1 7.943300-1 2.183900+1 1.000000+0 1.964000+1 1.258900+0 1.754200+1 1.584900+0 1.556400+1 1.995300+0 1.371600+1 2.511900+0 1.200800+1 3.162300+0 1.044700+1 3.981100+0 9.033200+0 5.011900+0 7.766800+0 6.309600+0 6.642500+0 7.943300+0 5.653600+0 1.000000+1 4.790500+0 1.258900+1 4.042600+0 1.584900+1 3.398900+0 1.995300+1 2.848300+0 2.511900+1 2.379600+0 3.162300+1 1.982700+0 3.981100+1 1.647900+0 5.011900+1 1.366600+0 6.309600+1 1.131100+0 7.943300+1 9.344500-1 1.000000+2 7.707100-1 1.258900+2 6.347000-1 1.584900+2 5.219600-1 1.995300+2 4.287100-1 2.511900+2 3.517000-1 3.162300+2 2.882100-1 3.981100+2 2.359500-1 5.011900+2 1.929800-1 6.309600+2 1.577000-1 7.943300+2 1.287600-1 1.000000+3 1.050500-1 1.258900+3 8.565000-2 1.584900+3 6.978200-2 1.995300+3 5.681700-2 2.511900+3 4.623300-2 3.162300+3 3.759800-2 3.981100+3 3.056000-2 5.011900+3 2.482600-2 6.309600+3 2.015800-2 7.943300+3 1.636000-2 1.000000+4 1.327100-2 1.258900+4 1.076100-2 1.584900+4 8.721800-3 1.995300+4 7.066300-3 2.511900+4 5.722800-3 3.162300+4 4.633000-3 3.981100+4 3.749400-3 5.011900+4 3.033300-3 6.309600+4 2.453100-3 7.943300+4 1.983300-3 1.000000+5 1.602900-3 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159558-4 3.981072-4 3.976770-4 5.011872-4 5.005108-4 6.309573-4 6.298987-4 7.943282-4 7.926732-4 1.000000-3 9.974146-4 1.258925-3 1.254896-3 1.584893-3 1.578587-3 1.995262-3 1.985362-3 2.511886-3 2.496340-3 3.162278-3 3.137861-3 3.981072-3 3.942886-3 5.011872-3 4.952152-3 6.309573-3 6.216350-3 7.943282-3 7.797806-3 1.000000-2 9.772935-3 1.258925-2 1.223549-2 1.584893-2 1.530045-2 1.995262-2 1.910750-2 2.511886-2 2.382206-2 3.162278-2 2.963945-2 3.981072-2 3.678684-2 5.011872-2 4.555233-2 6.309573-2 5.625265-2 7.943282-2 6.927436-2 1.000000-1 8.502021-2 1.258925-1 1.040258-1 1.584893-1 1.268792-1 1.995262-1 1.542676-1 2.511886-1 1.870254-1 3.162278-1 2.258572-1 3.981072-1 2.719861-1 5.011872-1 3.265320-1 6.309573-1 3.909261-1 7.943282-1 4.667780-1 1.000000+0 5.561243-1 1.258925+0 6.614142-1 1.584893+0 7.856188-1 1.995262+0 9.327391-1 2.511886+0 1.107149+0 3.162278+0 1.314810+0 3.981072+0 1.562726+0 5.011872+0 1.859545+0 6.309573+0 2.215836+0 7.943282+0 2.644215+0 1.000000+1 3.160756+0 1.258925+1 3.784925+0 1.584893+1 4.539960+0 1.995262+1 5.455206+0 2.511886+1 6.566008+0 3.162278+1 7.915998+0 3.981072+1 9.558471+0 5.011872+1 1.155929+1 6.309573+1 1.399904+1 7.943282+1 1.697670+1 1.000000+2 2.061412+1 1.258925+2 2.506145+1 1.584893+2 3.050283+1 1.995262+2 3.716679+1 2.511886+2 4.533235+1 3.162278+2 5.534414+1 3.981072+2 6.762944+1 5.011872+2 8.271223+1 6.309573+2 1.012417+2 7.943282+2 1.240177+2 1.000000+3 1.520267+2 1.258925+3 1.864916+2 1.584893+3 2.289191+2 1.995262+3 2.811772+2 2.511886+3 3.455593+2 3.162278+3 4.249307+2 3.981072+3 5.228176+2 5.011872+3 6.435775+2 6.309573+3 7.926346+2 7.943282+3 9.766634+2 1.000000+4 1.203935+3 1.258925+4 1.484751+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88188-10 1.995262-5 1.090606-9 2.511886-5 1.728467-9 3.162278-5 2.739476-9 3.981072-5 4.341841-9 5.011872-5 6.881356-9 6.309573-5 1.090593-8 7.943282-5 1.727675-8 1.000000-4 2.737397-8 1.258925-4 4.336673-8 1.584893-4 6.868509-8 1.995262-4 1.087306-7 2.511886-4 1.720324-7 3.162278-4 2.719240-7 3.981072-4 4.301261-7 5.011872-4 6.763903-7 6.309573-4 1.058603-6 7.943282-4 1.655030-6 1.000000-3 2.585430-6 1.258925-3 4.029183-6 1.584893-3 6.306685-6 1.995262-3 9.900300-6 2.511886-3 1.554626-5 3.162278-3 2.441669-5 3.981072-3 3.818608-5 5.011872-3 5.972032-5 6.309573-3 9.322299-5 7.943282-3 1.454768-4 1.000000-2 2.270654-4 1.258925-2 3.537676-4 1.584893-2 5.484779-4 1.995262-2 8.451259-4 2.511886-2 1.296801-3 3.162278-2 1.983326-3 3.981072-2 3.023875-3 5.011872-2 4.566390-3 6.309573-2 6.843085-3 7.943282-2 1.015847-2 1.000000-1 1.497979-2 1.258925-1 2.186672-2 1.584893-1 3.161008-2 1.995262-1 4.525862-2 2.511886-1 6.416326-2 3.162278-1 9.037061-2 3.981072-1 1.261211-1 5.011872-1 1.746552-1 6.309573-1 2.400313-1 7.943282-1 3.275502-1 1.000000+0 4.438757-1 1.258925+0 5.975112-1 1.584893+0 7.992744-1 1.995262+0 1.062523+0 2.511886+0 1.404737+0 3.162278+0 1.847468+0 3.981072+0 2.418346+0 5.011872+0 3.152328+0 6.309573+0 4.093737+0 7.943282+0 5.299068+0 1.000000+1 6.839244+0 1.258925+1 8.804329+0 1.584893+1 1.130897+1 1.995262+1 1.449742+1 2.511886+1 1.855286+1 3.162278+1 2.370678+1 3.981072+1 3.025225+1 5.011872+1 3.855943+1 6.309573+1 4.909670+1 7.943282+1 6.245612+1 1.000000+2 7.938588+1 1.258925+2 1.008311+2 1.584893+2 1.279865+2 1.995262+2 1.623594+2 2.511886+2 2.058563+2 3.162278+2 2.608836+2 3.981072+2 3.304777+2 5.011872+2 4.184750+2 6.309573+2 5.297156+2 7.943282+2 6.703105+2 1.000000+3 8.479733+2 1.258925+3 1.072434+3 1.584893+3 1.355974+3 1.995262+3 1.714085+3 2.511886+3 2.166327+3 3.162278+3 2.737347+3 3.981072+3 3.458254+3 5.011872+3 4.368295+3 6.309573+3 5.516939+3 7.943282+3 6.966619+3 1.000000+4 8.796065+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.420000-6 9.579960+6 5.688529-6 8.243580+6 6.250000-6 6.104614+6 6.250000-6 6.841992+6 6.310000-6 6.651468+6 6.531306-6 6.020033+6 6.606934-6 5.825722+6 6.760830-6 5.463542+6 7.000000-6 4.968444+6 7.244360-6 4.535049+6 7.400000-6 4.292066+6 7.400000-6 4.738826+6 7.440000-6 4.676800+6 7.500000-6 4.588682+6 7.673615-6 4.352785+6 7.700000-6 4.319463+6 7.762471-6 4.243218+6 7.943282-6 4.039278+6 8.035261-6 3.943691+6 8.128305-6 3.853118+6 8.350000-6 3.657072+6 8.420000-6 3.600945+6 8.709636-6 3.393395+6 8.912509-6 3.271454+6 9.015711-6 3.215780+6 9.120108-6 3.163742+6 9.332543-6 3.069701+6 9.549926-6 2.987234+6 9.660509-6 2.950681+6 1.000000-5 2.857045+6 1.011579-5 2.830950+6 1.035142-5 2.787539+6 1.047129-5 2.769680+6 1.071519-5 2.741142+6 1.083927-5 2.730547+6 1.122018-5 2.713489+6 1.174898-5 2.719446+6 1.180000-5 2.721860+6 1.216186-5 2.747777+6 1.244515-5 2.776331+6 1.303167-5 2.856908+6 1.333521-5 2.909426+6 1.412538-5 3.074875+6 1.445440-5 3.153884+6 1.513561-5 3.336227+6 1.640590-5 3.731353+6 1.883649-5 4.648775+6 2.018366-5 5.233404+6 2.070000-5 5.464906+6 2.089296-5 5.551801+6 2.213095-5 6.130324+6 2.264644-5 6.374183+6 2.317395-5 6.624467+6 2.342000-5 6.743113+6 2.342000-5 3.159505+7 2.360000-5 3.062322+7 2.400000-5 2.892848+7 2.426610-5 2.789795+7 2.454709-5 2.695918+7 2.483133-5 2.607582+7 2.540973-5 2.456444+7 2.550000-5 2.434673+7 2.600160-5 2.329460+7 2.630268-5 2.272015+7 2.691535-5 2.173883+7 2.722701-5 2.128778+7 2.754229-5 2.088906+7 2.786121-5 2.051122+7 2.819900-5 2.014226+7 2.851018-5 1.984659+7 2.917427-5 1.927232+7 2.960000-5 1.894455+7 3.019952-5 1.856313+7 3.080000-5 1.822068+7 3.150000-5 1.787181+7 3.198895-5 1.767571+7 3.235937-5 1.753449+7 3.388442-5 1.706105+7 3.392000-5 1.705144+7 3.392000-5 2.679642+7 3.400000-5 2.667275+7 3.427678-5 2.625375+7 3.430000-5 2.621981+7 3.500000-5 2.530791+7 3.510000-5 2.518651+7 3.589219-5 2.434326+7 3.700000-5 2.334678+7 3.758374-5 2.290990+7 3.801894-5 2.260932+7 3.810000-5 2.255238+7 3.981072-5 2.154692+7 4.000000-5 2.145428+7 4.027170-5 2.132665+7 4.073803-5 2.110268+7 4.220000-5 2.048678+7 4.265795-5 2.032196+7 4.400000-5 1.984762+7 4.518559-5 1.949099+7 4.623810-5 1.917985+7 4.786301-5 1.877157+7 4.800000-5 1.874050+7 5.011872-5 1.824141+7 5.080000-5 1.808595+7 5.128614-5 1.797313+7 5.188000-5 1.784282+7 5.248075-5 1.771749+7 5.308844-5 1.758483+7 5.312000-5 1.757759+7 5.312000-5 1.796719+7 5.370318-5 1.782641+7 5.495409-5 1.753743+7 5.500000-5 1.752724+7 5.559043-5 1.738559+7 5.623413-5 1.722740+7 5.650000-5 1.716365+7 5.688529-5 1.707273+7 5.730000-5 1.697723+7 5.821032-5 1.675387+7 6.000000-5 1.631537+7 6.070000-5 1.614091+7 6.237348-5 1.571885+7 6.309573-5 1.553238+7 6.382635-5 1.533770+7 6.456542-5 1.514726+7 6.580000-5 1.482028+7 6.650000-5 1.463151+7 6.683439-5 1.454334+7 6.839116-5 1.412329+7 6.918310-5 1.390825+7 7.079458-5 1.347073+7 7.161434-5 1.324804+7 7.328245-5 1.279081+7 7.413102-5 1.256049+7 7.585776-5 1.209025+7 7.673615-5 1.185357+7 7.800000-5 1.151063+7 7.852356-5 1.137377+7 8.000000-5 1.098649+7 8.150000-5 1.059440+7 8.300000-5 1.021005+7 8.317638-5 1.016402+7 8.413951-5 9.918661+6 8.609938-5 9.430958+6 8.709636-5 9.186363+6 8.810489-5 8.940037+6 8.912509-5 8.700744+6 9.015711-5 8.457717+6 9.150000-5 8.144844+6 9.225714-5 7.975618+6 9.332543-5 7.735292+6 9.500000-5 7.367128+6 9.549926-5 7.258276+6 9.660509-5 7.024933+6 9.800000-5 6.736652+6 9.900000-5 6.532808+6 9.950000-5 6.434115+6 1.011579-4 6.112005+6 1.020000-4 5.950994+6 1.023293-4 5.889583+6 1.040000-4 5.583074+6 1.050000-4 5.403919+6 1.060000-4 5.228009+6 1.071519-4 5.034738+6 1.083927-4 4.831507+6 1.098500-4 4.601080+6 1.098500-4 5.895707+6 1.099600-4 5.926043+6 1.100000-4 5.932473+6 1.102500-4 5.974381+6 1.106000-4 6.033003+6 1.110000-4 6.098368+6 1.110500-4 6.107134+6 1.115000-4 6.178449+6 1.120000-4 6.256052+6 1.124000-4 6.315982+6 1.129500-4 6.394465+6 1.135011-4 6.468362+6 1.141000-4 6.538322+6 1.146000-4 6.591181+6 1.152000-4 6.647118+6 1.159000-4 6.700724+6 1.161449-4 6.714389+6 1.165000-4 6.735862+6 1.170000-4 6.755944+6 1.171000-4 6.759720+6 1.177000-4 6.769460+6 1.185000-4 6.765345+6 1.192600-4 6.743094+6 1.195000-4 6.730409+6 1.195000-4 7.517697+6 1.196000-4 7.533075+6 1.200000-4 7.576446+6 1.202264-4 7.597661+6 1.205000-4 7.622534+6 1.208000-4 7.651125+6 1.213000-4 7.687362+6 1.216186-4 7.711165+6 1.217000-4 7.715688+6 1.220000-4 7.730677+6 1.222000-4 7.742116+6 1.227000-4 7.769378+6 1.233000-4 7.789324+6 1.235000-4 7.795249+6 1.237000-4 7.798642+6 1.240000-4 7.801685+6 1.242000-4 7.803817+6 1.244515-4 7.804249+6 1.245000-4 7.804474+6 1.247000-4 7.802216+6 1.252000-4 7.793022+6 1.258925-4 7.776118+6 1.265000-4 7.746573+6 1.270000-4 7.718513+6 1.273503-4 7.695118+6 1.277000-4 7.667320+6 1.285000-4 7.593160+6 1.292000-4 7.518853+6 1.293500-4 7.501916+6 1.302000-4 7.393027+6 1.303167-4 7.376493+6 1.310000-4 7.279607+6 1.318257-4 7.153233+6 1.320000-4 7.126035+6 1.330000-4 6.958057+6 1.340000-4 6.783635+6 1.348963-4 6.621084+6 1.350000-4 6.602646+6 1.365000-4 6.323058+6 1.380384-4 6.035513+6 1.400000-4 5.680048+6 1.412538-4 5.457372+6 1.430000-4 5.162002+6 1.450000-4 4.837431+6 1.462177-4 4.652471+6 1.465000-4 4.610362+6 1.479108-4 4.404641+6 1.500000-4 4.116705+6 1.513561-4 3.940484+6 1.520000-4 3.860211+6 1.531087-4 3.724997+6 1.540000-4 3.619414+6 1.566751-4 3.320849+6 1.584893-4 3.133922+6 1.603245-4 2.954303+6 1.621810-4 2.784034+6 1.630000-4 2.712912+6 1.640590-4 2.623910+6 1.650000-4 2.546668+6 1.665000-4 2.429536+6 1.670000-4 2.391820+6 1.698244-4 2.191548+6 1.700000-4 2.179723+6 1.705000-4 2.146342+6 1.730000-4 1.988345+6 1.740000-4 1.929164+6 1.760000-4 1.817131+6 1.770000-4 1.764124+6 1.778279-4 1.721632+6 1.790000-4 1.664326+6 1.800000-4 1.617267+6 1.819701-4 1.529340+6 1.820000-4 1.528057+6 1.835000-4 1.465326+6 1.854000-4 1.390528+6 1.862087-4 1.360193+6 1.865000-4 1.349623+6 1.905461-4 1.213406+6 1.930000-4 1.140293+6 1.972423-4 1.029224+6 2.000000-4 9.650480+5 2.018366-4 9.268708+5 2.041738-4 8.820873+5 2.045000-4 8.761089+5 2.065380-4 8.400780+5 2.068000-4 8.357125+5 2.078400-4 8.187469+5 2.089296-4 8.015217+5 2.090000-4 8.004309+5 2.110000-4 7.703945+5 2.118800-4 7.577157+5 2.120000-4 7.560181+5 2.125000-4 7.492594+5 2.137962-4 7.321885+5 2.140000-4 7.295660+5 2.155000-4 7.107371+5 2.162719-4 7.013481+5 2.164200-4 6.995759+5 2.164200-4 1.068156+6 2.168000-4 1.062530+6 2.170000-4 1.059598+6 2.183000-4 1.041212+6 2.187762-4 1.034625+6 2.196000-4 1.023442+6 2.207500-4 1.008207+6 2.213095-4 1.001030+6 2.220000-4 9.923561+5 2.238721-4 9.699835+5 2.240900-4 9.674424+5 2.264644-4 9.405259+5 2.280000-4 9.238834+5 2.290868-4 9.129036+5 2.295000-4 9.088202+5 2.317395-4 8.875073+5 2.330000-4 8.759715+5 2.344229-4 8.636045+5 2.350000-4 8.587191+5 2.371374-4 8.413744+5 2.380000-4 8.347703+5 2.398833-4 8.211138+5 2.400000-4 8.202897+5 2.426610-4 8.022904+5 2.430000-4 8.000757+5 2.454709-4 7.848415+5 2.483133-4 7.686807+5 2.511886-4 7.538659+5 2.520000-4 7.498583+5 2.540973-4 7.400763+5 2.570396-4 7.277062+5 2.580000-4 7.238544+5 2.600160-4 7.162557+5 2.630268-4 7.061160+5 2.635000-4 7.045976+5 2.650000-4 7.000648+5 2.660725-4 6.971620+5 2.691535-4 6.898831+5 2.722701-4 6.835006+5 2.730000-4 6.821260+5 2.754229-4 6.781685+5 2.786121-4 6.738178+5 2.800000-4 6.721302+5 2.813300-4 6.707933+5 2.813300-4 8.308735+5 2.818383-4 8.275413+5 2.827000-4 8.221542+5 2.840000-4 8.157079+5 2.855000-4 8.099722+5 2.868000-4 8.059479+5 2.884032-4 8.019452+5 2.890000-4 8.006447+5 2.917427-4 7.959020+5 2.925000-4 7.946991+5 2.951209-4 7.911216+5 2.985383-4 7.874116+5 3.000000-4 7.862336+5 3.019952-4 7.818491+5 3.030000-4 7.796037+5 3.090295-4 7.672898+5 3.100000-4 7.653820+5 3.126079-4 7.607640+5 3.162278-4 7.546899+5 3.180000-4 7.518563+5 3.200000-4 7.488770+5 3.235937-4 7.439381+5 3.280000-4 7.383798+5 3.311311-4 7.348453+5 3.350000-4 7.304502+5 3.390000-4 7.262002+5 3.427678-4 7.226285+5 3.430000-4 7.224016+5 3.466400-4 7.192222+5 3.466400-4 7.673242+5 3.467369-4 7.672318+5 3.535700-4 7.611476+5 3.548134-4 7.601523+5 3.589219-4 7.566529+5 3.672823-4 7.501295+5 3.715352-4 7.467960+5 3.758374-4 7.436830+5 3.801894-4 7.406890+5 3.890451-4 7.343168+5 3.935501-4 7.312254+5 4.000000-4 7.265776+5 4.027170-4 7.244457+5 4.073803-4 7.207231+5 4.120975-4 7.171839+5 4.168694-4 7.135227+5 4.200000-4 7.110808+5 4.216965-4 7.097095+5 4.265795-4 7.059211+5 4.315191-4 7.020115+5 4.330900-4 7.007447+5 4.330900-4 8.055727+5 4.332000-4 8.038156+5 4.336000-4 8.000615+5 4.341000-4 7.961698+5 4.345000-4 7.935364+5 4.352000-4 7.897296+5 4.358000-4 7.871256+5 4.365158-4 7.846065+5 4.367000-4 7.839695+5 4.375000-4 7.817652+5 4.385000-4 7.795632+5 4.400000-4 7.770071+5 4.415704-4 7.749564+5 4.430000-4 7.733880+5 4.451800-4 7.714576+5 4.460800-4 7.708342+5 4.460800-4 8.397064+5 4.464000-4 8.381937+5 4.466836-4 8.371734+5 4.468000-4 8.367545+5 4.470000-4 8.361442+5 4.477000-4 8.341717+5 4.483000-4 8.328160+5 4.490000-4 8.314826+5 4.500000-4 8.302235+5 4.501000-4 8.300950+5 4.507000-4 8.295258+5 4.513000-4 8.291150+5 4.523000-4 8.286843+5 4.528000-4 8.286272+5 4.540000-4 8.287653+5 4.550000-4 8.291832+5 4.565000-4 8.305375+5 4.570882-4 8.313083+5 4.580000-4 8.325097+5 4.595000-4 8.353793+5 4.607000-4 8.382440+5 4.610000-4 8.390998+5 4.623810-4 8.434273+5 4.632000-4 8.464710+5 4.640000-4 8.496993+5 4.648000-4 8.534191+5 4.658000-4 8.584540+5 4.663000-4 8.613020+5 4.677351-4 8.701698+5 4.692000-4 8.809828+5 4.700000-4 8.874211+5 4.705000-4 8.918021+5 4.720000-4 9.060394+5 4.731513-4 9.185416+5 4.735000-4 9.224670+5 4.750000-4 9.406588+5 4.765000-4 9.611703+5 4.780000-4 9.838602+5 4.786301-4 9.941406+5 4.795000-4 1.008857+6 4.810000-4 1.036354+6 4.820000-4 1.056262+6 4.827000-4 1.070445+6 4.841724-4 1.102514+6 4.850000-4 1.121672+6 4.880000-4 1.196915+6 4.910000-4 1.281642+6 4.930000-4 1.342688+6 4.940000-4 1.375436+6 4.950000-4 1.408507+6 4.954502-4 1.423711+6 4.960000-4 1.442704+6 4.985000-4 1.532064+6 5.000000-4 1.587385+6 5.011872-4 1.633613+6 5.040000-4 1.745403+6 5.069907-4 1.869749+6 5.070000-4 1.870157+6 5.100000-4 1.999538+6 5.128614-4 2.126332+6 5.160000-4 2.268036+6 5.188000-4 2.395265+6 5.190000-4 2.404722+6 5.220000-4 2.541370+6 5.248075-4 2.667085+6 5.253000-4 2.689944+6 5.254100-4 2.694925+6 5.280000-4 2.808399+6 5.290000-4 2.852361+6 5.300000-4 2.894665+6 5.308844-4 2.932737+6 5.310000-4 2.937758+6 5.320000-4 2.980165+6 5.335000-4 3.041883+6 5.350000-4 3.102670+6 5.370318-4 3.182429+6 5.390000-4 3.258383+6 5.400000-4 3.295184+6 5.432503-4 3.412463+6 5.465000-4 3.520169+6 5.480000-4 3.568601+6 5.495409-4 3.615661+6 5.500000-4 3.629802+6 5.520000-4 3.688479+6 5.540000-4 3.743627+6 5.559043-4 3.793723+6 5.580000-4 3.849685+6 5.635000-4 3.976681+6 5.650000-4 4.006131+6 5.688529-4 4.082711+6 5.690000-4 4.085664+6 5.740000-4 4.168468+6 5.754399-4 4.190462+6 5.760000-4 4.199011+6 5.800000-4 4.252267+6 5.830000-4 4.288309+6 5.850000-4 4.308991+6 5.900000-4 4.355245+6 5.980000-4 4.405947+6 6.000000-4 4.416078+6 6.025596-4 4.425336+6 6.058100-4 4.437062+6 6.095369-4 4.445978+6 6.100000-4 4.447072+6 6.165950-4 4.454518+6 6.237348-4 4.455111+6 6.280000-4 4.450549+6 6.309573-4 4.445072+6 6.382635-4 4.431685+6 6.390000-4 4.429558+6 6.456542-4 4.405945+6 6.531306-4 4.379697+6 6.550000-4 4.371840+6 6.606934-4 4.343610+6 6.700000-4 4.298202+6 6.760830-4 4.265489+6 6.839116-4 4.218505+6 6.850000-4 4.212035+6 6.918310-4 4.171810+6 7.000000-4 4.120758+6 7.079458-4 4.068260+6 7.161434-4 4.015214+6 7.244360-4 3.959684+6 7.328245-4 3.900972+6 7.413102-4 3.843053+6 7.585776-4 3.724533+6 7.673615-4 3.663239+6 7.762471-4 3.602851+6 7.852356-4 3.540943+6 7.941700-4 3.481070+6 7.941700-4 3.829387+6 7.943282-4 3.828395+6 8.035261-4 3.768572+6 8.128305-4 3.709882+6 8.200000-4 3.664195+6 8.283800-4 3.612083+6 8.317638-4 3.591050+6 8.413951-4 3.532454+6 8.425500-4 3.525286+6 8.425500-4 3.712559+6 8.500000-4 3.669823+6 8.511380-4 3.663276+6 8.570000-4 3.629959+6 8.609938-4 3.607350+6 8.650000-4 3.584184+6 8.709636-4 3.549345+6 8.760000-4 3.520408+6 8.810489-4 3.491497+6 8.850000-4 3.468429+6 8.912509-4 3.432093+6 9.100000-4 3.327280+6 9.120108-4 3.316311+6 9.225714-4 3.257892+6 9.332543-4 3.200323+6 9.350000-4 3.190799+6 9.549926-4 3.082780+6 9.660509-4 3.025258+6 9.700000-4 3.005147+6 9.772372-4 2.968092+6 9.885531-4 2.911157+6 1.000000-3 2.855419+6 1.023293-3 2.744416+6 1.030000-3 2.713670+6 1.035142-3 2.690271+6 1.047129-3 2.635904+6 1.059254-3 2.582684+6 1.071519-3 2.529392+6 1.090000-3 2.451923+6 1.096478-3 2.425472+6 1.106000-3 2.386798+6 1.106000-3 2.539472+6 1.109175-3 2.526238+6 1.114000-3 2.506345+6 1.130000-3 2.442234+6 1.135011-3 2.422609+6 1.148154-3 2.371809+6 1.161449-3 2.322184+6 1.174898-3 2.273278+6 1.190000-3 2.220391+6 1.202264-3 2.178186+6 1.230269-3 2.086644+6 1.244515-3 2.041375+6 1.258925-3 1.997117+6 1.273503-3 1.953663+6 1.288250-3 1.910647+6 1.303167-3 1.868709+6 1.318257-3 1.827440+6 1.333521-3 1.786514+6 1.348963-3 1.746371+6 1.364583-3 1.707220+6 1.370500-3 1.692569+6 1.370500-3 1.713802+6 1.380384-3 1.689765+6 1.396368-3 1.651843+6 1.420000-3 1.597783+6 1.445440-3 1.542426+6 1.450000-3 1.532708+6 1.462177-3 1.507240+6 1.479108-3 1.472951+6 1.500000-3 1.432295+6 1.513561-3 1.406421+6 1.533700-3 1.369166+6 1.533700-3 1.393859+6 1.550000-3 1.364596+6 1.570000-3 1.330038+6 1.584893-3 1.304663+6 1.603245-3 1.274434+6 1.610000-3 1.263562+6 1.621810-3 1.244821+6 1.640590-3 1.215654+6 1.659587-3 1.187216+6 1.670000-3 1.172063+6 1.698244-3 1.132455+6 1.717908-3 1.105980+6 1.737801-3 1.079936+6 1.740000-3 1.077093+6 1.757924-3 1.054373+6 1.778279-3 1.029232+6 1.819701-3 9.809069+5 1.840772-3 9.576736+5 1.850000-3 9.477661+5 1.862087-3 9.350166+5 1.883649-3 9.125736+5 1.905461-3 8.905060+5 1.927525-3 8.690150+5 1.972423-3 8.274677+5 2.000000-3 8.033192+5 2.018366-3 7.877274+5 2.041738-3 7.684457+5 2.070000-3 7.460979+5 2.089296-3 7.312961+5 2.113489-3 7.132738+5 2.150000-3 6.872324+5 2.187762-3 6.618329+5 2.213095-3 6.456017+5 2.220000-3 6.412424+5 2.238721-3 6.296387+5 2.264644-3 6.140773+5 2.290868-3 5.988339+5 2.300000-3 5.936635+5 2.317395-3 5.839998+5 2.371374-3 5.552288+5 2.426610-3 5.277796+5 2.454709-3 5.145883+5 2.500000-3 4.943420+5 2.511886-3 4.891988+5 2.540973-3 4.768798+5 2.570396-3 4.647995+5 2.600160-3 4.529695+5 2.630268-3 4.414697+5 2.660725-3 4.302737+5 2.691535-3 4.193574+5 2.722701-3 4.087336+5 2.754229-3 3.983466+5 2.786121-3 3.881958+5 2.800000-3 3.838894+5 2.818383-3 3.782962+5 2.884032-3 3.590818+5 2.951209-3 3.409167+5 2.985383-3 3.321908+5 3.000000-3 3.285593+5 3.019952-3 3.236952+5 3.054921-3 3.153807+5 3.090295-3 3.071934+5 3.126079-3 2.992350+5 3.198895-3 2.839301+5 3.235937-3 2.765834+5 3.273407-3 2.694084+5 3.311311-3 2.623936+5 3.388442-3 2.489369+5 3.400000-3 2.469960+5 3.427678-3 2.424216+5 3.467369-3 2.360790+5 3.507519-3 2.298865+5 3.548134-3 2.238623+5 3.589219-3 2.179914+5 3.630781-3 2.122790+5 3.650000-3 2.097137+5 3.672823-3 2.067115+5 3.715352-3 2.012819+5 3.758374-3 1.959654+5 3.776900-3 1.937330+5 3.776900-3 4.644130+5 3.815000-3 4.515661+5 3.845918-3 4.427188+5 3.890451-3 4.303953+5 3.900000-3 4.278173+5 3.935501-3 4.184161+5 3.977800-3 4.066656+5 3.977800-3 5.762114+5 3.981072-3 5.749890+5 4.000000-3 5.679866+5 4.005000-3 5.661570+5 4.073803-3 5.426034+5 4.120975-3 5.272320+5 4.168694-3 5.122749+5 4.216965-3 4.972244+5 4.265795-3 4.826180+5 4.300000-3 4.727372+5 4.315191-3 4.684783+5 4.400000-3 4.456700+5 4.415704-3 4.416137+5 4.500000-3 4.206999+5 4.518559-3 4.162104+5 4.549900-3 4.087617+5 4.549900-3 4.768487+5 4.581000-3 4.689358+5 4.677351-3 4.455691+5 4.731513-3 4.330440+5 4.740000-3 4.311268+5 4.800000-3 4.178389+5 4.841724-3 4.089272+5 4.897788-3 3.973788+5 5.011872-3 3.752843+5 5.188000-3 3.437465+5 5.248075-3 3.338386+5 5.370318-3 3.148936+5 5.432503-3 3.058292+5 5.495409-3 2.970289+5 5.548500-3 2.898814+5 5.548500-3 3.077416+5 5.559043-3 3.063179+5 5.623413-3 2.978165+5 5.688529-3 2.895234+5 5.800000-3 2.760146+5 5.821032-3 2.735693+5 5.888437-3 2.658736+5 5.900000-3 2.645840+5 5.902100-3 2.643502+5 5.902100-3 2.754723+5 5.956621-3 2.693839+5 6.000000-3 2.646752+5 6.025596-3 2.619538+5 6.095369-3 2.547384+5 6.165950-3 2.477241+5 6.309573-3 2.341927+5 6.382635-3 2.276956+5 6.456542-3 2.213886+5 6.531306-3 2.152267+5 6.606934-3 2.092195+5 6.650000-3 2.059086+5 6.683439-3 2.033829+5 6.800000-3 1.949168+5 6.839116-3 1.921877+5 6.998420-3 1.816302+5 7.000000-3 1.815294+5 7.079458-3 1.765604+5 7.161434-3 1.716130+5 7.244360-3 1.668118+5 7.300000-3 1.637008+5 7.328245-3 1.621436+5 7.413102-3 1.575920+5 7.585776-3 1.488695+5 7.673615-3 1.446698+5 7.762471-3 1.405868+5 7.852356-3 1.366258+5 7.943282-3 1.327527+5 8.000000-3 1.304178+5 8.035261-3 1.289957+5 8.128305-3 1.253179+5 8.222426-3 1.217285+5 8.317638-3 1.182477+5 8.413951-3 1.148689+5 8.609938-3 1.084148+5 8.709636-3 1.053327+5 8.810489-3 1.023403+5 9.000000-3 9.702864+4 9.015711-3 9.660644+4 9.120108-3 9.386673+4 9.225714-3 9.120918+4 9.300000-3 8.940411+4 9.440609-3 8.612392+4 9.549926-3 8.369402+4 9.660509-3 8.130091+4 9.885531-3 7.669277+4 1.000000-2 7.448173+4 1.011579-2 7.233499+4 1.023293-2 7.025143+4 1.035142-2 6.823038+4 1.047129-2 6.626698+4 1.059254-2 6.435256+4 1.071519-2 6.249064+4 1.109175-2 5.723989+4 1.122018-2 5.559189+4 1.135011-2 5.399406+4 1.148154-2 5.244330+4 1.150000-2 5.223066+4 1.161449-2 5.093165+4 1.174898-2 4.946469+4 1.188502-2 4.804154+4 1.190000-2 4.788841+4 1.202264-2 4.665968+4 1.216186-2 4.531967+4 1.230269-2 4.400410+4 1.244515-2 4.272403+4 1.258925-2 4.148326+4 1.273503-2 4.027561+4 1.288250-2 3.910075+4 1.318257-2 3.685768+4 1.333521-2 3.578542+4 1.355400-2 3.431811+4 1.364583-2 3.372809+4 1.396368-2 3.179485+4 1.412538-2 3.087223+4 1.428894-2 2.997587+4 1.445440-2 2.910346+4 1.450000-2 2.886937+4 1.462177-2 2.825465+4 1.479108-2 2.743076+4 1.500000-2 2.646097+4 1.513561-2 2.585544+4 1.531087-2 2.510045+4 1.566751-2 2.364962+4 1.580000-2 2.314121+4 1.584893-2 2.295674+4 1.603245-2 2.228285+4 1.621810-2 2.162971+4 1.640590-2 2.099514+4 1.650000-2 2.068722+4 1.659587-2 2.037923+4 1.678804-2 1.978124+4 1.698244-2 1.920158+4 1.717908-2 1.863835+4 1.737801-2 1.809169+4 1.757924-2 1.756122+4 1.778279-2 1.704475+4 1.798871-2 1.654383+4 1.807100-2 1.634950+4 1.807100-2 3.854070+4 1.819701-2 3.789519+4 1.835000-2 3.713125+4 1.840772-2 3.682523+4 1.883649-2 3.465442+4 1.905461-2 3.361838+4 1.927525-2 3.259666+4 1.949845-2 3.160491+4 1.950000-2 3.159817+4 1.972423-2 3.064144+4 1.995262-2 2.970745+4 2.000000-2 2.951867+4 2.018366-2 2.880233+4 2.041738-2 2.792497+4 2.065380-2 2.707384+4 2.089296-2 2.624903+4 2.113489-2 2.543880+4 2.137962-2 2.465325+4 2.162719-2 2.389225+4 2.187762-2 2.315441+4 2.237100-2 2.179045+4 2.237100-2 3.095317+4 2.238721-2 3.089566+4 2.264644-2 2.999556+4 2.290000-2 2.914839+4 2.290868-2 2.911931+4 2.300000-2 2.881582+4 2.312200-2 2.841665+4 2.312200-2 3.280953+4 2.317395-2 3.261894+4 2.334000-2 3.202005+4 2.344229-2 3.167064+4 2.371374-2 3.076944+4 2.398833-2 2.989465+4 2.400000-2 2.985826+4 2.410000-2 2.954900+4 2.426610-2 2.904948+4 2.450000-2 2.836634+4 2.454709-2 2.822952+4 2.500000-2 2.696027+4 2.511886-2 2.664050+4 2.530000-2 2.616344+4 2.540973-2 2.588320+4 2.550000-2 2.565556+4 2.580000-2 2.491129+4 2.600160-2 2.442442+4 2.630268-2 2.372219+4 2.660725-2 2.303986+4 2.691535-2 2.237021+4 2.722701-2 2.172058+4 2.754229-2 2.109030+4 2.786121-2 2.047878+4 2.818383-2 1.988548+4 2.851018-2 1.930988+4 2.884032-2 1.874836+4 2.917427-2 1.820365+4 2.951209-2 1.767489+4 2.985383-2 1.716230+4 3.000000-2 1.694949+4 3.019952-2 1.666467+4 3.090295-2 1.571230+4 3.126079-2 1.525736+4 3.162278-2 1.481597+4 3.223700-2 1.410157+4 3.235937-2 1.396411+4 3.311311-2 1.315785+4 3.349654-2 1.277279+4 3.388442-2 1.239859+4 3.427678-2 1.203525+4 3.467369-2 1.168031+4 3.500000-2 1.139939+4 3.507519-2 1.133573+4 3.548134-2 1.100038+4 3.589219-2 1.067523+4 3.630781-2 1.035965+4 3.758374-2 9.464012+3 3.845918-2 8.911288+3 3.890451-2 8.647449+3 4.027170-2 7.901018+3 4.120975-2 7.440303+3 4.168694-2 7.220328+3 4.216965-2 7.007011+3 4.265795-2 6.800131+3 4.315191-2 6.597988+3 4.365158-2 6.400873+3 4.415704-2 6.209803+3 4.466836-2 6.024589+3 4.518559-2 5.844853+3 4.570882-2 5.669207+3 4.677351-2 5.333912+3 4.786301-2 5.018908+3 4.841724-2 4.868614+3 4.897788-2 4.722887+3 5.000000-2 4.472550+3 5.011872-2 4.444688+3 5.069907-2 4.311517+3 5.188000-2 4.057029+3 5.248075-2 3.935482+3 5.308844-2 3.817625+3 5.370318-2 3.702666+3 5.623413-2 3.275443+3 5.688529-2 3.176747+3 5.754399-2 3.081091+3 5.821032-2 2.988358+3 6.000000-2 2.756345+3 6.025596-2 2.725209+3 6.095369-2 2.642717+3 6.165950-2 2.562767+3 6.237348-2 2.485269+3 6.309573-2 2.410078+3 6.456542-2 2.266579+3 6.606934-2 2.131799+3 6.683439-2 2.067505+3 6.839116-2 1.943986+3 6.918310-2 1.885082+3 7.000000-2 1.826888+3 7.161434-2 1.718276+3 7.244360-2 1.665915+3 7.328245-2 1.615181+3 7.413102-2 1.566011+3 7.498942-2 1.518354+3 7.500000-2 1.517779+3 7.585776-2 1.472137+3 7.943282-2 1.301160+3 8.128305-2 1.223406+3 8.222426-2 1.186323+3 8.317638-2 1.150376+3 8.413951-2 1.115312+3 8.511380-2 1.081248+3 8.609938-2 1.048173+3 8.709636-2 1.016128+3 8.810489-2 9.850592+2 8.912509-2 9.549557+2 9.015711-2 9.257834+2 9.120108-2 8.975134+2 9.225714-2 8.701210+2 9.660509-2 7.687333+2 9.772372-2 7.452149+2 1.011580-1 6.789529+2 1.035142-1 6.380893+2 1.071519-1 5.814272+2 1.083927-1 5.636983+2 1.096478-1 5.465194+2 1.109175-1 5.298647+2 1.122019-1 5.137243+2 1.135011-1 4.980844+2 1.161449-1 4.681010+2 1.174898-1 4.537977+2 1.188502-1 4.399388+2 1.223500-1 4.068772+2 1.223500-1 1.690304+3 1.230269-1 1.667925+3 1.244515-1 1.622184+3 1.250000-1 1.605048+3 1.258925-1 1.573464+3 1.260000-1 1.569717+3 1.273503-1 1.530770+3 1.283000-1 1.504196+3 1.288250-1 1.488160+3 1.318257-1 1.400895+3 1.333521-1 1.361678+3 1.348963-1 1.323568+3 1.364583-1 1.286534+3 1.380384-1 1.250500+3 1.396368-1 1.214095+3 1.412538-1 1.178751+3 1.428894-1 1.144444+3 1.462177-1 1.078805+3 1.479108-1 1.047417+3 1.500000-1 1.010414+3 1.513561-1 9.873642+2 1.531088-1 9.586459+2 1.548817-1 9.307676+2 1.566751-1 9.037036+2 1.603245-1 8.521471+2 1.621810-1 8.274831+2 1.659587-1 7.802835+2 1.678804-1 7.577073+2 1.701200-1 7.325308+2 1.717908-1 7.145030+2 1.737801-1 6.938368+2 1.798871-1 6.354227+2 1.800000-1 6.344085+2 1.819701-1 6.170654+2 1.883649-1 5.651243+2 1.905461-1 5.488039+2 1.927525-1 5.329583+2 1.949845-1 5.175713+2 1.972423-1 5.026304+2 2.000000-1 4.851868+2 2.018366-1 4.740354+2 2.065380-1 4.470727+2 2.113489-1 4.216514+2 2.187762-1 3.862285+2 2.238721-1 3.643044+2 2.264644-1 3.538150+2 2.317395-1 3.337355+2 2.344229-1 3.241285+2 2.371374-1 3.147998+2 2.398833-1 3.057404+2 2.426610-1 2.969424+2 2.454709-1 2.883986+2 2.500000-1 2.753415+2 2.511886-1 2.720761+2 2.540973-1 2.643107+2 2.570396-1 2.567676+2 2.600160-1 2.494420+2 2.630268-1 2.423277+2 2.660725-1 2.354169+2 2.691535-1 2.287092+2 2.722701-1 2.221932+2 2.754229-1 2.158631+2 2.786121-1 2.097149+2 2.818383-1 2.037421+2 2.851018-1 1.979399+2 2.884032-1 1.923033+2 2.917427-1 1.868314+2 2.951209-1 1.815780+2 2.985383-1 1.764726+2 3.000000-1 1.743540+2 3.019952-1 1.715196+2 3.054921-1 1.667059+2 3.090295-1 1.620276+2 3.126079-1 1.574818+2 3.162278-1 1.530677+2 3.198895-1 1.487780+2 3.235937-1 1.446108+2 3.273407-1 1.405608+2 3.311311-1 1.366246+2 3.349654-1 1.327989+2 3.388442-1 1.290826+2 3.427678-1 1.254706+2 3.467369-1 1.220110+2 3.507519-1 1.186470+2 3.630781-1 1.091026+2 3.672823-1 1.061034+2 3.715352-1 1.031874+2 3.758374-1 1.003516+2 3.801894-1 9.759400+1 3.845918-1 9.491399+1 3.890451-1 9.230898+1 3.935501-1 8.977552+1 3.981072-1 8.731183+1 4.027170-1 8.496384+1 4.120975-1 8.045586+1 4.168694-1 7.829463+1 4.216965-1 7.619239+1 4.265795-1 7.414683+1 4.315191-1 7.215745+1 4.365158-1 7.022513+1 4.466836-1 6.651461+1 4.518559-1 6.473366+1 4.570882-1 6.300044+1 4.623810-1 6.134515+1 4.677351-1 5.973350+1 4.731513-1 5.816609+1 4.786301-1 5.663991+1 4.841724-1 5.515520+1 4.897788-1 5.370958+1 4.954502-1 5.230188+1 5.011872-1 5.093116+1 5.069907-1 4.959954+1 5.128614-1 4.830278+1 5.188000-1 4.704000+1 5.248075-1 4.581045+1 5.308844-1 4.463683+1 5.370318-1 4.349527+1 5.432503-1 4.238301+1 5.495409-1 4.129949+1 5.559043-1 4.024378+1 5.623413-1 3.921511+1 5.688529-1 3.821278+1 5.754399-1 3.723610+1 5.821032-1 3.628441+1 5.888437-1 3.535926+1 5.956621-1 3.445826+1 6.000000-1 3.390285+1 6.025596-1 3.358871+1 6.095369-1 3.275369+1 6.165950-1 3.194022+1 6.219700-1 3.134041+1 6.237348-1 3.114706+1 6.309573-1 3.037362+1 6.382635-1 2.961942+1 6.456542-1 2.888398+1 6.531306-1 2.816681+1 6.606935-1 2.746759+1 6.683439-1 2.678614+1 6.760830-1 2.612237+1 6.839117-1 2.547658+1 6.918310-1 2.485947+1 6.998420-1 2.425738+1 7.079458-1 2.366989+1 7.161434-1 2.309706+1 7.244360-1 2.253814+1 7.328245-1 2.199284+1 7.413102-1 2.146106+1 7.498942-1 2.094215+1 7.673615-1 1.994286+1 7.762471-1 1.946138+1 7.852356-1 1.899260+1 7.943282-1 1.854420+1 8.035261-1 1.810641+1 8.128305-1 1.767897+1 8.222427-1 1.726187+1 8.317638-1 1.685492+1 8.413951-1 1.645759+1 8.511380-1 1.606964+1 8.609938-1 1.569091+1 8.709636-1 1.532164+1 8.810489-1 1.496118+1 8.912509-1 1.460925+1 9.015711-1 1.426655+1 9.120108-1 1.393190+1 9.225714-1 1.361161+1 9.332543-1 1.329870+1 9.440609-1 1.299354+1 9.549926-1 1.269596+1 9.660509-1 1.240523+1 9.772372-1 1.212120+1 9.885531-1 1.184375+1 1.000000+0 1.157291+1 1.011579+0 1.130890+1 1.023293+0 1.105602+1 1.035142+0 1.080925+1 1.047129+0 1.056797+1 1.059254+0 1.033237+1 1.071519+0 1.010203+1 1.083927+0 9.876926+0 1.096478+0 9.656866+0 1.109175+0 9.441698+0 1.122018+0 9.231349+0 1.135011+0 9.025827+0 1.148154+0 8.825194+0 1.161449+0 8.629098+0 1.174898+0 8.437373+0 1.188502+0 8.249920+0 1.202264+0 8.066625+0 1.216186+0 7.887395+0 1.230269+0 7.716923+0 1.250000+0 7.487429+0 1.258925+0 7.387130+0 1.273503+0 7.227864+0 1.288250+0 7.072103+0 1.303167+0 6.919709+0 1.318257+0 6.770597+0 1.333521+0 6.624705+0 1.348963+0 6.482032+0 1.364583+0 6.342461+0 1.396368+0 6.079577+0 1.412538+0 5.952247+0 1.428894+0 5.827752+0 1.445440+0 5.705988+0 1.500000+0 5.331157+0 1.513561+0 5.243888+0 1.531087+0 5.134334+0 1.548817+0 5.027417+0 1.584893+0 4.825773+0 1.603245+0 4.728025+0 1.621810+0 4.632325+0 1.640590+0 4.538567+0 1.659587+0 4.446808+0 1.678804+0 4.356962+0 1.717908+0 4.182695+0 1.737801+0 4.098202+0 1.757924+0 4.015677+0 1.778279+0 3.936893+0 1.798871+0 3.859653+0 1.819701+0 3.783946+0 1.840772+0 3.709780+0 1.862087+0 3.637072+0 1.883649+0 3.565788+0 1.905461+0 3.496002+0 1.927525+0 3.427629+0 1.949845+0 3.360591+0 1.972423+0 3.294876+0 2.000000+0 3.217575+0 2.018366+0 3.168951+0 2.044000+0 3.103027+0 2.065380+0 3.049717+0 2.089296+0 2.991801+0 2.113489+0 2.935028+0 2.137962+0 2.879335+0 2.162719+0 2.824780+0 2.213095+0 2.718822+0 2.238721+0 2.667350+0 2.264644+0 2.616853+0 2.290868+0 2.567473+0 2.317395+0 2.520274+0 2.344229+0 2.473945+0 2.371374+0 2.428477+0 2.398833+0 2.383845+0 2.426610+0 2.340067+0 2.454709+0 2.297095+0 2.483133+0 2.254977+0 2.540973+0 2.173094+0 2.570396+0 2.133281+0 2.600160+0 2.094197+0 2.630268+0 2.055955+0 2.660725+0 2.019379+0 2.691535+0 1.983454+0 2.722701+0 1.948177+0 2.754229+0 1.913527+0 2.786121+0 1.879520+0 2.818383+0 1.846118+0 2.851018+0 1.813359+0 2.917427+0 1.749615+0 2.951209+0 1.718594+0 3.000000+0 1.675358+0 3.019952+0 1.658247+0 3.054921+0 1.629722+0 3.090295+0 1.601688+0 3.126079+0 1.574143+0 3.162278+0 1.547071+0 3.198895+0 1.520485+0 3.273407+0 1.468679+0 3.388442+0 1.394414+0 3.427678+0 1.370508+0 3.467369+0 1.347011+0 3.507519+0 1.323992+0 3.548134+0 1.301965+0 3.589219+0 1.280306+0 3.630781+0 1.259011+0 3.672823+0 1.238071+0 3.715352+0 1.217495+0 3.801894+0 1.177365+0 3.935501+0 1.119753+0 4.000000+0 1.093625+0 4.073803+0 1.064968+0 4.120975+0 1.047365+0 4.168694+0 1.030497+0 4.216965+0 1.013902+0 4.265795+0 9.975768-1 4.315191+0 9.815148-1 4.365158+0 9.657236-1 4.466836+0 9.349004-1 4.623810+0 8.905931-1 4.677351+0 8.762979-1 4.786301+0 8.483920-1 4.841724+0 8.348181-1 4.897788+0 8.218096-1 4.954502+0 8.090042-1 5.011872+0 7.964013-1 5.069907+0 7.839947-1 5.128614+0 7.717907-1 5.248075+0 7.479512-1 5.432503+0 7.136374-1 5.495409+0 7.025544-1 5.623413+0 6.809025-1 5.688529+0 6.703613-1 5.821032+0 6.502793-1 5.888437+0 6.404653-1 5.956621+0 6.308016-1 6.025596+0 6.212837-1 6.095369+0 6.119160-1 6.237348+0 5.936033-1 6.456542+0 5.672085-1 6.531306+0 5.586748-1 6.606934+0 5.502697-1 6.760830+0 5.338368-1 6.839116+0 5.258312-1 7.000000+0 5.104344-1 7.079458+0 5.031255-1 7.161434+0 4.957783-1 7.244360+0 4.885436-1 7.413102+0 4.743904-1 7.762471+0 4.473560-1 7.852356+0 4.408426-1 7.943282+0 4.344241-1 8.128305+0 4.218660-1 8.222427+0 4.157422-1 8.413951+0 4.040468-1 8.511380+0 3.983231-1 8.609938+0 3.926818-1 8.709636+0 3.871205-1 8.810489+0 3.816421-1 9.015711+0 3.709173-1 9.332543+0 3.554245-1 9.440609+0 3.504061-1 9.549926+0 3.454585-1 9.772372+0 3.357720-1 9.885531+0 3.310439-1 1.023293+1 3.175428-1 1.047129+1 3.088493-1 1.059254+1 3.045932-1 1.071519+1 3.003959-1 1.083927+1 2.962562-1 1.100000+1 2.910502-1 1.122018+1 2.841854-1 1.135011+1 2.802754-1 1.161449+1 2.726251-1 1.174898+1 2.688792-1 1.202264+1 2.615414-1 1.244515+1 2.511865-1 1.273503+1 2.445123-1 1.288250+1 2.412424-1 1.300000+1 2.386947-1 1.318257+1 2.348337-1 1.333521+1 2.316936-1 1.364583+1 2.255422-1 1.400000+1 2.188890-1 1.412538+1 2.166220-1 1.428894+1 2.137294-1 1.479108+1 2.052888-1 1.531087+1 1.971823-1 1.603245+1 1.871035-1 1.640590+1 1.822589-1 1.659587+1 1.798844-1 1.678804+1 1.775409-1 1.698244+1 1.752279-1 1.717908+1 1.729451-1 1.737801+1 1.706935-1 1.757924+1 1.684714-1 1.778279+1 1.662800-1 1.819701+1 1.619862-1 1.905461+1 1.537295-1 2.089296+1 1.387647-1 2.187762+1 1.318378-1 2.213095+1 1.301611-1 2.238721+1 1.285058-1 2.264644+1 1.268715-1 2.290868+1 1.252579-1 2.317395+1 1.236649-1 2.344229+1 1.220931-1 2.371374+1 1.205423-1 2.400000+1 1.189482-1 2.483133+1 1.145388-1 2.851018+1 9.853958-2 3.000000+1 9.322236-2 3.019952+1 9.255196-2 3.054921+1 9.139902-2 3.090295+1 9.026104-2 3.126079+1 8.913875-2 3.198895+1 8.693607-2 4.073803+1 6.717003-2 4.265795+1 6.394958-2 4.315191+1 6.316900-2 4.365158+1 6.239796-2 4.415704+1 6.163694-2 4.466836+1 6.088592-2 4.570882+1 5.941136-2 6.025596+1 4.449821-2 6.382635+1 4.189780-2 6.531306+1 4.090081-2 6.606934+1 4.041125-2 6.683439+1 3.992786-2 6.839116+1 3.897907-2 6.998420+1 3.805289-2 9.885531+1 2.666462-2 1.035142+2 2.542974-2 1.047129+2 2.513007-2 1.059254+2 2.483395-2 1.071519+2 2.454134-2 1.083927+2 2.425215-2 1.096478+2 2.396667-2 1.109175+2 2.368454-2 1.135011+2 2.313030-2 1.161449+2 2.258906-2 1.174898+2 2.232355-2 1.927525+2 1.349621-2 2.065380+2 1.258104-2 2.089296+2 1.243467-2 2.113489+2 1.229000-2 2.137962+2 1.214702-2 2.162719+2 1.200570-2 2.187762+2 1.186612-2 2.213095+2 1.172817-2 2.264644+2 1.145708-2 2.317395+2 1.119226-2 2.344229+2 1.106227-2 3.845918+2 6.715913-3 4.120975+2 6.264155-3 4.168694+2 6.191875-3 4.216965+2 6.120431-3 4.265795+2 6.049810-3 4.315191+2 5.980004-3 4.365158+2 5.911032-3 4.415704+2 5.842855-3 4.518559+2 5.708859-3 4.623810+2 5.577939-3 4.677351+2 5.513641-3 1.531087+3 1.678193-3 1.640590+3 1.565845-3 1.659587+3 1.547866-3 1.678804+3 1.530094-3 1.698244+3 1.512525-3 1.717908+3 1.495159-3 1.737801+3 1.477995-3 1.757924+3 1.461029-3 1.798871+3 1.427680-3 1.840772+3 1.395092-3 1.862087+3 1.379082-3 1.000000+5 2.563991-5 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.420000-6 5.420000-6 6.250000-6 5.420000-6 6.250000-6 5.509451-6 7.400000-6 5.557109-6 7.400000-6 5.730851-6 8.709636-6 5.867575-6 1.122018-5 6.183684-6 1.244515-5 6.312100-6 1.333521-5 6.386316-6 1.445440-5 6.459030-6 1.640590-5 6.544231-6 1.883649-5 6.604706-6 2.342000-5 6.659650-6 2.342000-5 1.984295-5 2.630268-5 1.743000-5 2.819900-5 1.594433-5 2.960000-5 1.494031-5 3.080000-5 1.415604-5 3.198895-5 1.344364-5 3.392000-5 1.243202-5 3.392000-5 2.024649-5 3.510000-5 1.925490-5 3.589219-5 1.864418-5 3.758374-5 1.749512-5 3.810000-5 1.716749-5 4.027170-5 1.594999-5 4.265795-5 1.480743-5 4.400000-5 1.424625-5 4.518559-5 1.378089-5 4.623810-5 1.340395-5 4.800000-5 1.282034-5 5.080000-5 1.203091-5 5.312000-5 1.147988-5 5.312000-5 1.238280-5 5.559043-5 1.181031-5 5.821032-5 1.129228-5 6.070000-5 1.088139-5 6.309573-5 1.055253-5 6.580000-5 1.024905-5 6.918310-5 9.949077-6 7.161434-5 9.782570-6 7.413102-5 9.642041-6 7.852356-5 9.460779-6 8.317638-5 9.337381-6 8.810489-5 9.270400-6 9.332543-5 9.255006-6 9.950000-5 9.308753-6 1.050000-4 9.416921-6 1.098500-4 9.558971-6 1.098500-4 3.158168-5 1.099600-4 3.226961-5 1.106000-4 3.530513-5 1.110500-4 3.734028-5 1.115000-4 3.929196-5 1.120000-4 4.136495-5 1.124000-4 4.294522-5 1.129500-4 4.500397-5 1.135011-4 4.694154-5 1.141000-4 4.893739-5 1.146000-4 5.049438-5 1.152000-4 5.223414-5 1.161449-4 5.467934-5 1.171000-4 5.685665-5 1.177000-4 5.807800-5 1.185000-4 5.952612-5 1.195000-4 6.104958-5 1.195000-4 6.717078-5 1.208000-4 7.014929-5 1.222000-4 7.294641-5 1.237000-4 7.554574-5 1.252000-4 7.776425-5 1.270000-4 7.995663-5 1.293500-4 8.214611-5 1.320000-4 8.384161-5 1.350000-4 8.506339-5 1.400000-4 8.631414-5 1.650000-4 9.080540-5 1.820000-4 9.328704-5 1.930000-4 9.427542-5 2.000000-4 9.448499-5 2.090000-4 9.384990-5 2.164200-4 9.283834-5 2.164200-4 1.060962-4 2.317395-4 1.051668-4 2.483133-4 1.033992-4 2.600160-4 1.015676-4 2.730000-4 9.892237-5 2.813300-4 9.684767-5 2.813300-4 1.137949-4 2.840000-4 1.121104-4 2.890000-4 1.098453-4 3.000000-4 1.053691-4 3.200000-4 1.008849-4 3.390000-4 9.730109-5 3.466400-4 9.605259-5 3.466400-4 1.029299-4 3.672823-4 1.000872-4 3.890451-4 9.772832-5 4.073803-4 9.623807-5 4.330900-4 9.489447-5 4.330900-4 1.064961-4 4.341000-4 1.056359-4 4.358000-4 1.048292-4 4.385000-4 1.042094-4 4.451800-4 1.037668-4 4.460800-4 1.037582-4 4.460800-4 1.104872-4 4.490000-4 1.099273-4 4.540000-4 1.100049-4 4.580000-4 1.106009-4 4.623810-4 1.118545-4 4.663000-4 1.136349-4 4.705000-4 1.163357-4 4.750000-4 1.201644-4 4.795000-4 1.248018-4 4.940000-4 1.414551-4 5.000000-4 1.474738-4 5.040000-4 1.510101-4 5.100000-4 1.555163-4 5.160000-4 1.591721-4 5.248075-4 1.632428-4 5.350000-4 1.665310-4 5.480000-4 1.692081-4 5.650000-4 1.712641-4 5.900000-4 1.728268-4 6.390000-4 1.739146-4 7.585776-4 1.741886-4 7.941700-4 1.741056-4 7.941700-4 1.864273-4 8.425500-4 1.878963-4 8.425500-4 1.942155-4 9.350000-4 1.980447-4 1.106000-3 2.032771-4 1.106000-3 2.148151-4 1.370500-3 2.232371-4 1.370500-3 2.261502-4 1.533700-3 2.313137-4 1.533700-3 2.359444-4 1.883649-3 2.464336-4 2.264644-3 2.558009-4 2.722701-3 2.650858-4 3.311311-3 2.746176-4 3.776900-3 2.808099-4 3.776900-3 4.068381-4 3.977800-3 4.067488-4 3.977800-3 4.321658-4 4.549900-3 4.322257-4 4.549900-3 4.646357-4 5.548500-3 4.698217-4 5.548500-3 4.864380-4 5.902100-3 4.894886-4 5.902100-3 5.042452-4 7.852356-3 5.228528-4 1.011579-2 5.398962-4 1.288250-2 5.561324-4 1.640590-2 5.719566-4 1.807100-2 5.780805-4 1.807100-2 6.917346-4 2.237100-2 6.961129-4 2.237100-2 7.348639-4 2.312200-2 7.356725-4 2.312200-2 7.870901-4 3.235937-2 8.069671-4 4.518559-2 8.261427-4 6.309573-2 8.445467-4 8.709636-2 8.613815-4 1.188502-1 8.762726-4 1.223500-1 8.775671-4 1.223500-1 8.052396-4 2.951209-1 8.102344-4 8.035261-1 8.129058-4 1.000000+5 8.131141-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.420000-6 0.0 2.164200-4 0.0 2.164200-4 1.750879-9 2.220000-4 1.804146-9 2.295000-4 1.860912-9 2.350000-4 1.895453-9 2.430000-4 1.932765-9 2.483133-4 1.947550-9 2.540973-4 1.954222-9 2.600160-4 1.950734-9 2.691535-4 1.930199-9 2.754229-4 1.907243-9 2.813300-4 1.877205-9 2.813300-4 4.657706-9 2.827000-4 4.548054-9 2.840000-4 4.465511-9 2.855000-4 4.391591-9 2.868000-4 4.338871-9 2.890000-4 4.264449-9 3.000000-4 3.945431-9 3.180000-4 3.555476-9 3.311311-4 3.303579-9 3.430000-4 3.096972-9 3.466400-4 3.043018-9 3.466400-4 3.412118-9 3.589219-4 3.245111-9 3.672823-4 3.139381-9 3.801894-4 2.993754-9 3.935501-4 2.860336-9 4.073803-4 2.743462-9 4.216965-4 2.641772-9 4.330900-4 2.573296-9 4.330900-4 1.632745-8 4.332000-4 1.613754-8 4.336000-4 1.574558-8 4.341000-4 1.534388-8 4.345000-4 1.507599-8 4.352000-4 1.469773-8 4.358000-4 1.444899-8 4.367000-4 1.416210-8 4.375000-4 1.397599-8 4.385000-4 1.380848-8 4.400000-4 1.364550-8 4.415704-4 1.354893-8 4.430000-4 1.350613-8 4.451800-4 1.349510-8 4.460800-4 1.351113-8 4.460800-4 1.629617-8 4.470000-4 1.620472-8 4.490000-4 1.614955-8 4.507000-4 1.620804-8 4.528000-4 1.639144-8 4.540000-4 1.654225-8 4.550000-4 1.670077-8 4.565000-4 1.699901-8 4.580000-4 1.736634-8 4.595000-4 1.781612-8 4.610000-4 1.835307-8 4.623810-4 1.892035-8 4.640000-4 1.969613-8 4.658000-4 2.070010-8 4.677351-4 2.195018-8 4.700000-4 2.364515-8 4.720000-4 2.534140-8 4.735000-4 2.674412-8 4.750000-4 2.821404-8 4.765000-4 2.977530-8 4.795000-4 3.307755-8 4.880000-4 4.294936-8 4.910000-4 4.624321-8 4.950000-4 5.027806-8 4.985000-4 5.345350-8 5.011872-4 5.564072-8 5.040000-4 5.771403-8 5.070000-4 5.968773-8 5.100000-4 6.143737-8 5.128614-4 6.290833-8 5.160000-4 6.431691-8 5.190000-4 6.548024-8 5.220000-4 6.648125-8 5.254100-4 6.744578-8 5.320000-4 6.888225-8 5.400000-4 7.005303-8 5.520000-4 7.118661-8 5.690000-4 7.206393-8 5.900000-4 7.255213-8 6.382635-4 7.288839-8 7.244360-4 7.270419-8 7.941700-4 7.233759-8 7.941700-4 7.411660-8 8.425500-4 7.407292-8 8.425500-4 8.809293-8 9.120108-4 9.126312-8 9.350000-4 9.222600-8 1.106000-3 9.685843-8 1.106000-3 1.248831-7 1.370500-3 1.356447-7 1.370500-3 1.422655-7 1.533700-3 1.498626-7 1.533700-3 1.626498-7 1.778279-3 1.752379-7 2.041738-3 1.876178-7 2.371374-3 2.014810-7 2.691535-3 2.138121-7 3.126079-3 2.285198-7 3.548134-3 2.414087-7 3.776900-3 2.477375-7 3.776900-3 2.901350-7 3.977800-3 2.920484-7 3.977800-3 5.664474-5 4.168694-3 5.695903-5 4.415704-3 5.670375-5 4.549900-3 5.664856-5 4.549900-3 5.725560-5 4.897788-3 5.714461-5 5.548500-3 5.669998-5 5.548500-3 6.338634-5 5.902100-3 6.376101-5 5.902100-3 6.497023-5 7.413102-3 6.671908-5 9.885531-3 6.885677-5 1.273503-2 7.070458-5 1.621810-2 7.240027-5 1.807100-2 7.313636-5 1.807100-2 4.097515-3 1.840772-2 4.104306-3 2.162719-2 4.065869-3 2.237100-2 4.053914-3 2.237100-2 6.088772-3 2.312200-2 6.103071-3 2.312200-2 6.391957-3 2.786121-2 6.462639-3 3.467369-2 6.527077-3 4.677351-2 6.582141-3 7.000000-2 6.625331-3 1.223500-1 6.647988-3 1.223500-1 8.540282-2 1.428894-1 8.606767-2 2.065380-1 8.708257-2 3.273407-1 8.794258-2 5.956621-1 8.885577-2 9.772372-1 8.950225-2 1.000000+5 8.951822-2 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.420000-6 0.0 6.250000-6 8.300000-7 6.250000-6 7.405489-7 6.760830-6 1.233468-6 7.400000-6 1.842891-6 7.400000-6 1.669149-6 8.128305-6 2.327060-6 9.120108-6 3.201747-6 1.122018-5 5.036496-6 1.244515-5 6.133050-6 1.412538-5 7.685311-6 1.640590-5 9.861669-6 2.089296-5 1.425754-5 2.342000-5 1.676035-5 2.342000-5 3.577045-6 2.360000-5 3.918161-6 2.550000-5 7.410904-6 2.722701-5 1.053726-5 2.851018-5 1.279525-5 2.960000-5 1.465969-5 3.080000-5 1.664396-5 3.235937-5 1.912130-5 3.392000-5 2.148798-5 3.392000-5 1.367351-5 3.510000-5 1.584510-5 3.589219-5 1.724801-5 3.758374-5 2.008862-5 3.810000-5 2.093251-5 4.027170-5 2.432171-5 4.265795-5 2.785052-5 4.518559-5 3.140470-5 4.800000-5 3.517966-5 5.188000-5 4.011643-5 5.312000-5 4.164012-5 5.312000-5 4.073720-5 5.821032-5 4.691804-5 6.382635-5 5.336220-5 7.161434-5 6.183177-5 8.317638-5 7.383900-5 1.011579-4 9.182339-5 1.098500-4 1.002910-4 1.098500-4 7.826832-5 1.100000-4 7.754229-5 1.110500-4 7.370972-5 1.120000-4 7.063505-5 1.129500-4 6.794603-5 1.141000-4 6.516261-5 1.152000-4 6.296586-5 1.161449-4 6.146556-5 1.171000-4 6.024335-5 1.177000-4 5.962200-5 1.185000-4 5.897388-5 1.195000-4 5.845042-5 1.195000-4 5.232922-5 1.202264-4 5.134677-5 1.216186-4 4.977655-5 1.227000-4 4.882667-5 1.240000-4 4.799475-5 1.252000-4 4.743575-5 1.265000-4 4.710136-5 1.277000-4 4.701730-5 1.293500-4 4.720389-5 1.310000-4 4.772680-5 1.320000-4 4.815839-5 1.340000-4 4.929931-5 1.365000-4 5.100605-5 1.400000-4 5.368586-5 1.584893-4 6.877553-5 1.770000-4 8.437425-5 1.865000-4 9.272794-5 1.972423-4 1.027883-4 2.045000-4 1.102415-4 2.155000-4 1.225157-4 2.164200-4 1.235817-4 2.164200-4 1.103221-4 2.330000-4 1.279418-4 2.511886-4 1.481863-4 2.691535-4 1.693833-4 2.813300-4 1.844805-4 2.813300-4 1.675304-4 2.855000-4 1.741380-4 3.000000-4 1.946270-4 3.280000-4 2.286899-4 3.466400-4 2.505844-4 3.466400-4 2.437067-4 3.801894-4 2.815752-4 4.168694-4 3.212004-4 4.330900-4 3.381930-4 4.330900-4 3.265775-4 4.365158-4 3.318872-4 4.460800-4 3.423083-4 4.460800-4 3.355765-4 4.528000-4 3.428692-4 4.610000-4 3.495952-4 4.677351-4 3.532583-4 4.750000-4 3.548074-4 4.850000-4 3.538106-4 4.960000-4 3.523877-4 5.040000-4 3.529322-4 5.128614-4 3.554398-4 5.253000-4 3.617920-4 5.400000-4 3.722103-4 5.635000-4 3.922949-4 6.100000-4 4.364940-4 7.941700-4 6.199920-4 7.941700-4 6.076686-4 8.425500-4 6.545796-4 8.425500-4 6.482464-4 1.106000-3 9.026260-4 1.106000-3 8.910600-4 1.370500-3 1.147127-3 1.370500-3 1.144208-3 1.533700-3 1.302236-3 1.533700-3 1.297593-3 2.540973-3 2.279116-3 3.776900-3 3.495842-3 3.776900-3 3.369772-3 3.977800-3 3.570759-3 3.977800-3 3.488990-3 4.549900-3 4.061026-3 4.549900-3 4.028009-3 5.548500-3 5.021978-3 5.548500-3 4.998676-3 5.902100-3 5.348851-3 5.902100-3 5.332885-3 1.584893-2 1.520694-2 1.807100-2 1.741978-2 1.807100-2 1.328175-2 2.237100-2 1.762097-2 2.237100-2 1.554736-2 2.312200-2 1.628326-2 2.312200-2 1.594295-2 3.630781-2 2.895718-2 1.083927-1 1.008757-1 1.223500-1 1.148244-1 1.223500-1 3.614194-2 1.250000-1 3.864580-2 1.260000-1 3.966668-2 1.288250-1 4.233749-2 1.348963-1 4.825026-2 1.531088-1 6.603434-2 2.238721-1 1.358040-1 5.688529-1 4.792418-1 1.000000+5 9.999991+4 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.223500-1 1.283427+3 1.250000-1 1.220952+3 1.260000-1 1.193758+3 1.283000-1 1.146072+3 1.318257-1 1.067924+3 1.380384-1 9.562478+2 1.566751-1 6.942654+2 2.500000-1 2.145400+2 2.917427-1 1.460810+2 3.427678-1 9.841145+1 3.981072-1 6.867112+1 4.570882-1 4.968931+1 5.248075-1 3.622719+1 6.000000-1 2.687325+1 6.839117-1 2.024361+1 7.852356-1 1.512672+1 9.120108-1 1.112062+1 1.011579+0 9.035281+0 1.216186+0 6.304095+0 1.364583+0 5.068145+0 1.548817+0 4.016195+0 1.757924+0 3.207882+0 2.000000+0 2.570432+0 2.290868+0 2.051146+0 2.630268+0 1.642510+0 3.019952+0 1.324786+0 3.507519+0 1.057738+0 4.120975+0 8.367420-1 4.841724+0 6.669377-1 5.688529+0 5.355533-1 6.839116+0 4.200893-1 8.222427+0 3.321377-1 9.885531+0 2.644723-1 1.202264+1 2.089526-1 1.531087+1 1.575352-1 1.905461+1 1.228181-1 2.483133+1 9.151110-2 3.198895+1 6.945846-2 4.570882+1 4.746742-2 6.998420+1 3.040281-2 1.174898+2 1.783531-2 2.344229+2 8.838442-3 4.677351+2 4.405261-3 1.862087+3 1.101878-3 1.000000+5 2.048600-5 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.223500-1 7.823100-4 1.000000+5 7.823100-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.223500-1 1.103700-1 1.000000+5 1.103700-1 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.223500-1 1.119769-2 1.000000+5 9.999989+4 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.312200-2 4.392883+3 2.334000-2 4.297671+3 2.410000-2 4.070040+3 2.450000-2 3.967520+3 2.530000-2 3.741420+3 2.660725-2 3.443174+3 2.951209-2 2.851226+3 3.223700-2 2.434569+3 3.630781-2 1.942771+3 4.518559-2 1.259513+3 5.011872-2 1.017177+3 5.821032-2 7.431697+2 7.000000-2 4.981440+2 8.317638-2 3.390135+2 9.660509-2 2.409668+2 1.135011-1 1.657697+2 1.364583-1 1.073626+2 1.800000-1 5.534360+1 2.985383-1 1.643602+1 3.630781-1 1.036895+1 4.315191-1 6.954265+0 5.011872-1 4.952249+0 5.821032-1 3.556383+0 6.760830-1 2.573663+0 7.762471-1 1.923157+0 8.912509-1 1.446673+0 1.000000+0 1.148873+0 1.216186+0 7.837727-1 1.364583+0 6.300030-1 1.531087+0 5.096312-1 1.737801+0 4.067745-1 1.972423+0 3.270209-1 2.264644+0 2.597018-1 2.600160+0 2.078191-1 3.000000+0 1.662600-1 3.467369+0 1.336637-1 4.073803+0 1.056769-1 4.786301+0 8.418563-2 5.623413+0 6.756606-2 6.760830+0 5.297320-2 8.128305+0 4.186201-2 9.772372+0 3.332011-2 1.202264+1 2.595695-2 1.531087+1 1.957001-2 1.905461+1 1.525797-2 2.483133+1 1.136841-2 3.198895+1 8.628735-3 4.570882+1 5.896790-3 6.998420+1 3.776838-3 1.161449+2 2.241936-3 2.317395+2 1.110850-3 4.623810+2 5.536291-4 1.840772+3 1.384723-4 1.000000+5 2.545000-6 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.312200-2 1.119700-3 1.000000+5 1.119700-3 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.312200-2 8.260700-3 1.000000+5 8.260700-3 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.312200-2 1.374160-2 1.000000+5 9.999999+4 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.237100-2 9.162718+3 2.290000-2 8.702900+3 2.550000-2 6.716700+3 3.162278-2 3.909600+3 3.500000-2 3.004300+3 4.265795-2 1.781700+3 5.308844-2 9.853800+2 6.683439-2 5.219100+2 8.413951-2 2.739500+2 1.737801-1 3.523100+1 2.187762-1 1.848500+1 2.660725-1 1.077414+1 3.126079-1 6.957362+0 3.630781-1 4.670480+0 4.120975-1 3.356082+0 4.677351-1 2.428653+0 5.308844-1 1.770786+0 5.956621-1 1.338394+0 6.683439-1 1.018919+0 7.498942-1 7.815472-1 8.609938-1 5.736850-1 9.440609-1 4.702839-1 1.023293+0 3.979231-1 1.135011+0 3.236620-1 1.258925+0 2.652410-1 1.412538+0 2.142054-1 1.640590+0 1.636126-1 1.883649+0 1.285393-1 2.137962+0 1.037693-1 2.454709+0 8.279363-2 2.818383+0 6.656039-2 3.273407+0 5.295822-2 3.801894+0 4.245224-2 4.466836+0 3.371050-2 5.248075+0 2.697096-2 6.237348+0 2.140373-2 7.413102+0 1.710594-2 9.015711+0 1.337515-2 1.135011+1 1.010785-2 1.428894+1 7.707782-3 1.778279+1 5.996781-3 2.371374+1 4.348168-3 3.090295+1 3.256483-3 4.415704+1 2.223703-3 6.683439+1 1.440526-3 1.083927+2 8.748883-4 2.162719+2 4.331104-4 4.315191+2 2.157799-4 1.717908+3 5.394677-5 1.000000+5 9.253400-7 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.237100-2 8.270200-4 1.000000+5 8.270200-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.237100-2 1.092800-2 1.000000+5 1.092800-2 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.237100-2 1.061598-2 1.000000+5 9.999999+4 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.807100-2 2.219120+4 1.835000-2 2.141768+4 1.905461-2 1.936880+4 2.089296-2 1.503919+4 2.580000-2 8.308760+3 2.851018-2 6.234505+3 3.427678-2 3.642446+3 4.315191-2 1.834059+3 5.370318-2 9.441171+2 6.683439-2 4.812245+2 8.511380-2 2.265207+2 1.333521-1 5.520437+1 1.737801-1 2.406274+1 2.113489-1 1.310468+1 2.454709-1 8.283688+0 2.884032-1 5.094399+0 3.349654-1 3.274317+0 3.801894-1 2.269200+0 4.265795-1 1.637461+0 4.786301-1 1.190384+0 5.308844-1 8.998748-1 5.888437-1 6.849709-1 6.606935-1 5.097596-1 7.328245-1 3.934420-1 8.128305-1 3.058687-1 9.332543-1 2.208574-1 9.885531-1 1.940370-1 1.047129+0 1.716338-1 1.122018+0 1.491490-1 1.216186+0 1.275838-1 1.333521+0 1.075298-1 1.659587+0 7.274133-2 1.905461+0 5.714807-2 2.162719+0 4.615686-2 2.483133+0 3.684424-2 2.851018+0 2.962952-2 3.273407+0 2.399642-2 3.801894+0 1.923613-2 4.466836+0 1.527536-2 5.248075+0 1.222130-2 6.237348+0 9.698249-3 7.413102+0 7.751181-3 9.015711+0 6.060425-3 1.122018+1 4.643671-3 1.400000+1 3.576400-3 1.757924+1 2.752934-3 2.344229+1 1.995414-3 3.090295+1 1.475541-3 4.365158+1 1.019957-3 6.606934+1 6.605955-4 1.083927+2 3.964321-4 2.162719+2 1.962572-4 4.315191+2 9.777547-5 1.717908+3 2.444426-5 1.000000+5 4.192900-7 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.807100-2 7.754700-4 1.000000+5 7.754700-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.807100-2 7.062500-3 1.000000+5 7.062500-3 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.807100-2 1.023303-2 1.000000+5 9.999999+4 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 5.902100-3 1.112208+4 6.165950-3 1.055069+4 6.309573-3 1.020624+4 6.650000-3 9.560640+3 7.079458-3 8.750671+3 7.673615-3 7.859735+3 8.035261-3 7.355672+3 9.015711-3 6.173162+3 9.660509-3 5.571301+3 1.035142-2 4.992205+3 1.273503-2 3.547282+3 1.412538-2 2.963826+3 1.650000-2 2.250080+3 1.927525-2 1.689089+3 2.162719-2 1.359112+3 2.540973-2 9.944432+2 3.019952-2 7.046972+2 3.589219-2 4.947105+2 4.265795-2 3.442671+2 5.069907-2 2.375113+2 6.000000-2 1.640558+2 7.000000-2 1.161880+2 8.317638-2 7.844150+1 1.011580-1 4.979277+1 1.273503-1 2.892720+1 1.603245-1 1.668887+1 2.600160-1 5.215713+0 3.198895-1 3.187117+0 3.845918-1 2.071138+0 4.570882-1 1.392861+0 5.248075-1 1.020762+0 6.095369-1 7.345969-1 7.079458-1 5.327472-1 8.222427-1 3.894245-1 9.332543-1 3.006721-1 1.071519+0 2.287413-1 1.250000+0 1.695399-1 1.428894+0 1.318902-1 1.603245+0 1.069917-1 1.819701+0 8.562829-2 2.089296+0 6.768725-2 2.398833+0 5.392552-2 2.754229+0 4.328561-2 3.162278+0 3.499454-2 3.672823+0 2.800493-2 4.315191+0 2.220238-2 5.069907+0 1.773493-2 6.025596+0 1.405338-2 7.161434+0 1.121578-2 8.709636+0 8.756889-3 1.083927+1 6.700876-3 1.333521+1 5.240281-3 1.717908+1 3.911615-3 2.317395+1 2.797559-3 3.054921+1 2.068260-3 4.365158+1 1.411988-3 6.606934+1 9.144632-4 1.083927+2 5.487819-4 2.162719+2 2.716820-4 4.315191+2 1.353479-4 1.717908+3 3.383921-5 1.000000+5 5.804300-7 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 5.902100-3 8.549800-4 1.000000+5 8.549800-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.902100-3 9.371100-5 1.000000+5 9.371100-5 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 5.902100-3 4.953409-3 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 5.548500-3 1.786018+4 5.900000-3 1.679786+4 6.165950-3 1.600690+4 6.998420-3 1.367909+4 7.413102-3 1.262484+4 8.035261-3 1.121045+4 8.810489-3 9.742027+3 9.660509-3 8.405706+3 1.150000-2 6.208920+3 1.230269-2 5.483800+3 1.450000-2 3.999500+3 1.580000-2 3.366480+3 1.840772-2 2.452450+3 2.041738-2 1.961484+3 2.300000-2 1.508736+3 2.660725-2 1.082841+3 2.951209-2 8.502013+2 3.349654-2 6.288880+2 3.890451-2 4.365481+2 4.518559-2 3.005497+2 5.308844-2 1.993746+2 6.237348-2 1.312412+2 7.500000-2 8.068732+1 9.225714-2 4.633026+1 1.161449-1 2.480330+1 2.065380-1 5.145971+0 2.570396-1 2.847729+0 3.090295-1 1.742789+0 3.630781-1 1.142518+0 4.168694-1 8.011704-1 4.786301-1 5.661457-1 5.432503-1 4.148435-1 6.095369-1 3.147815-1 6.839117-1 2.405048-1 7.673615-1 1.850823-1 8.709636-1 1.397160-1 9.440609-1 1.175566-1 1.023293+0 9.962374-2 1.148154+0 7.928000-2 1.273503+0 6.496263-2 1.428894+0 5.248142-2 1.659587+0 4.009740-2 1.883649+0 3.214826-2 2.137962+0 2.595202-2 2.454709+0 2.070367-2 2.818383+0 1.664120-2 3.273407+0 1.323903-2 3.801894+0 1.061254-2 4.466836+0 8.427285-3 5.248075+0 6.742458-3 6.237348+0 5.350594-3 7.413102+0 4.276349-3 9.015711+0 3.343587-3 1.122018+1 2.561923-3 1.400000+1 1.973100-3 1.757924+1 1.518768-3 2.344229+1 1.100859-3 3.090295+1 8.140752-4 4.415704+1 5.559090-4 6.683439+1 3.601125-4 1.109175+2 2.136137-4 2.213095+2 1.057839-4 4.415704+2 5.270675-5 1.757924+3 1.317919-5 1.000000+5 2.313200-7 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 5.548500-3 7.561300-4 1.000000+5 7.561300-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.548500-3 1.719100-4 1.000000+5 1.719100-4 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.548500-3 4.620460-3 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.549900-3 6.808700+4 4.740000-3 6.395600+4 5.011872-3 5.840052+4 5.821032-3 4.495286+4 6.531306-3 3.620123+4 7.585776-3 2.710219+4 8.035261-3 2.414348+4 9.549926-3 1.689289+4 1.047129-2 1.383085+4 1.216186-2 9.924210+3 1.333521-2 8.030953+3 1.531087-2 5.809145+3 1.757924-2 4.157317+3 1.950000-2 3.217000+3 2.264644-2 2.202176+3 2.630268-2 1.492053+3 3.000000-2 1.051380+3 3.388442-2 7.558284+2 3.890451-2 5.162350+2 4.466836-2 3.501612+2 5.188000-2 2.283201+2 6.025596-2 1.478627+2 7.161434-2 8.890271+1 8.709636-2 4.953305+1 1.096478-1 2.468042+1 1.905461-1 4.581348+0 2.344229-1 2.450871+0 2.754229-1 1.516553+0 3.198895-1 9.781432-1 3.672823-1 6.574698-1 4.168694-1 4.601970-1 4.677351-1 3.350687-1 5.188000-1 2.534794-1 5.821032-1 1.873518-1 6.531306-1 1.395565-1 7.244360-1 1.078033-1 8.511380-1 7.293573-2 9.120108-1 6.201939-2 9.772372-1 5.311000-2 1.047129+0 4.586535-2 1.135011+0 3.897538-2 1.230269+0 3.336251-2 1.348963+0 2.813032-2 1.717908+0 1.827027-2 1.949845+0 1.466788-2 2.213095+0 1.186396-2 2.540973+0 9.482199-3 2.917427+0 7.633838-3 3.388442+0 6.083876-3 3.935501+0 4.884980-3 4.623810+0 3.885375-3 5.432503+0 3.113500-3 6.456542+0 2.474355-3 7.762471+0 1.951583-3 9.332543+0 1.550600-3 1.161449+1 1.189603-3 1.479108+1 8.958880-4 1.819701+1 7.068338-4 2.400000+1 5.191100-4 3.126079+1 3.890787-4 4.466836+1 2.657625-4 6.839116+1 1.701442-4 1.135011+2 1.009616-4 2.264644+2 5.001116-5 4.518559+2 2.492225-5 1.798871+3 6.232506-6 1.000000+5 1.119400-7 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.549900-3 6.592100-4 1.000000+5 6.592100-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.549900-3 6.090000-5 1.000000+5 6.090000-5 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.549900-3 3.829790-3 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 3.977800-3 1.695458+5 4.168694-3 1.515703+5 4.300000-3 1.394244+5 4.677351-3 1.118915+5 5.011872-3 9.279037+4 5.623413-3 6.733388+4 6.456542-3 4.546884+4 7.300000-3 3.178192+4 8.128305-3 2.304580+4 9.885531-3 1.263186+4 1.109175-2 8.784395+3 1.258925-2 5.864278+3 1.500000-2 3.309192+3 1.698244-2 2.189094+3 1.927525-2 1.428282+3 2.264644-2 8.219982+2 2.660725-2 4.688921+2 3.162278-2 2.546893+2 3.758374-2 1.372307+2 4.570882-2 6.751910+1 5.623413-2 3.161310+1 7.585776-2 1.046475+1 1.244515-1 1.672702+0 1.513561-1 8.153101-1 1.798871-1 4.356144-1 2.113489-1 2.444246-1 2.426610-1 1.499141-1 2.754229-1 9.640095-2 3.126079-1 6.244335-2 3.507519-1 4.237753-2 3.935501-1 2.897566-2 4.365158-1 2.070476-2 4.786301-1 1.546461-2 5.128614-1 1.249725-2 5.623413-1 9.484406-3 6.531306-1 6.123393-3 7.244360-1 4.556286-3 8.609938-1 2.821884-3 9.120108-1 2.422161-3 9.549926-1 2.156588-3 1.000000+0 1.932749-3 1.047129+0 1.744164-3 1.109175+0 1.545153-3 1.174898+0 1.378246-3 1.258925+0 1.210376-3 1.364583+0 1.047779-3 1.531087+0 8.582406-4 1.840772+0 6.199775-4 2.065380+0 5.093025-4 2.371374+0 4.055577-4 2.722701+0 3.253977-4 3.162278+0 2.584008-4 3.672823+0 2.067858-4 4.315191+0 1.639443-4 5.069907+0 1.309613-4 6.025596+0 1.037720-4 7.161434+0 8.281728-5 8.709636+0 6.466147-5 1.083927+1 4.947967-5 1.333521+1 3.869518-5 1.717908+1 2.888398-5 2.317395+1 2.065733-5 3.090295+1 1.508287-5 4.415704+1 1.030008-5 6.683439+1 6.672156-6 1.096478+2 4.004777-6 2.187762+2 1.982861-6 4.365158+2 9.879390-7 1.737801+3 2.470105-7 1.000000+5 4.286000-9 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 3.977800-3 4.931300-4 1.000000+5 4.931300-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.977800-3 1.918100-4 1.000000+5 1.918100-4 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 3.977800-3 3.292860-3 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 3.776900-3 2.706800+5 3.815000-3 2.623048+5 3.935501-3 2.423492+5 4.005000-3 2.303370+5 4.500000-3 1.683294+5 5.011872-3 1.245144+5 5.688529-3 8.662112+4 6.309573-3 6.402659+4 7.079458-3 4.538466+4 7.852356-3 3.306123+4 9.549926-3 1.788714+4 1.059254-2 1.281075+4 1.216186-2 8.162719+3 1.428894-2 4.766917+3 1.621810-2 3.098499+3 1.819701-2 2.083530+3 2.113489-2 1.233428+3 2.500000-2 6.779460+2 2.951209-2 3.717053+2 3.467369-2 2.056234+2 4.120975-2 1.081802+2 5.011872-2 5.181352+1 6.309573-2 2.158005+1 1.230269-1 1.672875+0 1.479108-1 8.319265-1 1.717908-1 4.749318-1 1.972423-1 2.850215-1 2.238721-1 1.796355-1 2.511886-1 1.188431-1 2.818383-1 7.919522-2 3.126079-1 5.534826-2 3.467369-1 3.896684-2 3.801894-1 2.871168-2 4.216965-1 2.051699-2 4.623810-1 1.533440-2 5.011872-1 1.196805-2 5.432503-1 9.415925-3 5.956621-1 7.212419-3 6.531306-1 5.558771-3 7.161434-1 4.312273-3 8.222427-1 2.973954-3 8.810489-1 2.473947-3 9.332543-1 2.137189-3 9.772372-1 1.912632-3 1.023293+0 1.722750-3 1.083927+0 1.523026-3 1.148154+0 1.355542-3 1.230269+0 1.187381-3 1.333521+0 1.025157-3 1.548817+0 7.887786-4 1.840772+0 5.815252-4 2.065380+0 4.777094-4 2.371374+0 3.803518-4 2.722701+0 3.051288-4 3.126079+0 2.465463-4 3.630781+0 1.971933-4 4.265795+0 1.562520-4 5.011872+0 1.247429-4 5.956621+0 9.879421-5 7.079458+0 7.880888-5 8.609938+0 6.150306-5 1.071519+1 4.704175-5 1.318257+1 3.677325-5 1.698244+1 2.743826-5 2.290868+1 1.961651-5 3.054921+1 1.431950-5 4.365158+1 9.775628-6 6.606934+1 6.331250-6 1.083927+2 3.799439-6 2.162719+2 1.880922-6 4.315191+2 9.370849-7 1.717908+3 2.342796-7 1.000000+5 4.018600-9 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 3.776900-3 4.970400-4 1.000000+5 4.970400-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.776900-3 3.204800-7 1.000000+5 3.204800-7 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.776900-3 3.279540-3 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.533700-3 2.469335+4 1.740000-3 2.167980+4 1.850000-3 2.043700+4 1.972423-3 1.903241+4 2.300000-3 1.591548+4 2.660725-3 1.332562+4 2.884032-3 1.198025+4 3.507519-3 9.146478+3 3.900000-3 7.836740+3 4.581000-3 6.154861+3 5.370318-3 4.797119+3 6.025596-3 3.985221+3 7.161434-3 2.991468+3 8.609938-3 2.180669+3 1.023293-2 1.606669+3 1.216186-2 1.174014+3 1.445440-2 8.509869+2 1.717908-2 6.120644+2 2.018366-2 4.470136+2 2.400000-2 3.166800+2 2.851018-2 2.230819+2 3.349654-2 1.596640+2 4.027170-2 1.080769+2 4.841724-2 7.254809+1 5.754399-2 4.955368+1 6.918310-2 3.275102+1 8.222426-2 2.206452+1 1.011580-1 1.361508+1 1.288250-1 7.686920+0 1.621810-1 4.430734+0 2.570396-1 1.462995+0 3.198895-1 8.697895-1 3.845918-1 5.652764-1 4.570882-1 3.801770-1 5.248075-1 2.786143-1 6.095369-1 2.004924-1 7.079458-1 1.453850-1 8.222427-1 1.062548-1 9.332543-1 8.202372-2 1.071519+0 6.239090-2 1.250000+0 4.624392-2 1.412538+0 3.674963-2 1.584893+0 2.979159-2 1.798871+0 2.382680-2 2.044000+0 1.915498-2 2.344229+0 1.526992-2 2.691535+0 1.224185-2 3.090295+0 9.885074-3 3.589219+0 7.901659-3 4.216965+0 6.257708-3 4.954502+0 4.993222-3 5.888437+0 3.952480-3 7.000000+0 3.150500-3 8.511380+0 2.458213-3 1.047129+1 1.905762-3 1.273503+1 1.508851-3 1.640590+1 1.124461-3 2.187762+1 8.133487-4 3.000000+1 5.753300-4 4.265795+1 3.946613-4 6.382635+1 2.585735-4 1.035142+2 1.569306-4 2.065380+2 7.764287-5 4.120975+2 3.867102-5 1.640590+3 9.665742-6 1.000000+5 1.583300-7 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.533700-3 4.927000-4 1.000000+5 4.927000-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.533700-3 8.716600-7 1.000000+5 8.716600-7 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.533700-3 1.040128-3 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.370500-3 2.123270+4 1.500000-3 2.100792+4 1.670000-3 2.045680+4 1.778279-3 1.996638+4 1.905461-3 1.931286+4 2.070000-3 1.842912+4 2.213095-3 1.762999+4 2.454709-3 1.626629+4 2.630268-3 1.528763+4 2.951209-3 1.364480+4 3.198895-3 1.252684+4 3.467369-3 1.140519+4 3.900000-3 9.863660+3 4.216965-3 8.903204+3 4.731513-3 7.585520+3 5.188000-3 6.636679+3 5.821032-3 5.563031+3 6.456542-3 4.716982+3 7.328245-3 3.819452+3 8.128305-3 3.191966+3 9.225714-3 2.543571+3 1.047129-2 2.009233+3 1.174898-2 1.610079+3 1.318257-2 1.282044+3 1.500000-2 9.854640+2 1.717908-2 7.413816+2 1.950000-2 5.641180+2 2.238721-2 4.155606+2 2.540973-2 3.117963+2 2.917427-2 2.262231+2 3.349654-2 1.629539+2 3.890451-2 1.133032+2 4.518559-2 7.816790+1 5.308844-2 5.201328+1 6.237348-2 3.435223+1 7.413102-2 2.186316+1 9.015711-2 1.299945+1 1.135011-1 6.995609+0 2.018366-1 1.464850+0 2.660725-1 6.972439-1 3.162278-1 4.414453-1 3.672823-1 2.990451-1 4.216965-1 2.101368-1 4.841724-1 1.487474-1 5.495409-1 1.091576-1 6.165950-1 8.294237-2 6.918310-1 6.347223-2 7.762471-1 4.896922-2 8.810489-1 3.710081-2 9.660509-1 3.044059-2 1.047129+0 2.577851-2 1.148154+0 2.147069-2 1.273503+0 1.760936-2 1.428894+0 1.423563-2 1.678804+0 1.066096-2 1.905461+0 8.551557-3 2.162719+0 6.907331-3 2.483133+0 5.513546-3 2.851018+0 4.433813-3 3.273407+0 3.590797-3 3.801894+0 2.878430-3 4.466836+0 2.285773-3 5.248075+0 1.828806-3 6.237348+0 1.451266-3 7.413102+0 1.159908-3 9.015711+0 9.068734-4 1.122018+1 6.948685-4 1.400000+1 5.351700-4 1.757924+1 4.119391-4 2.344229+1 2.985866-4 3.090295+1 2.208018-4 4.415704+1 1.507784-4 6.683439+1 9.767091-5 1.109175+2 5.793891-5 2.213095+2 2.869079-5 4.415704+2 1.429591-5 1.757924+3 3.574590-6 1.000000+5 6.274200-8 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.370500-3 4.583700-4 1.000000+5 4.583700-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.370500-3 6.700400-7 1.000000+5 6.700400-7 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.370500-3 9.114600-4 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.106000-3 1.526745+5 1.135011-3 1.476075+5 1.230269-3 1.348569+5 1.380384-3 1.192485+5 1.603245-3 9.960802+4 1.757924-3 8.864571+4 2.018366-3 7.339859+4 2.238721-3 6.308903+4 2.540973-3 5.218734+4 2.786121-3 4.513719+4 3.235937-3 3.533697+4 3.548134-3 3.021372+4 4.073803-3 2.371311+4 4.581000-3 1.915471+4 5.188000-3 1.517290+4 5.956621-3 1.161131+4 6.683439-3 9.227985+3 7.585776-3 7.118510+3 8.709636-3 5.318786+3 1.000000-2 3.940188+3 1.150000-2 2.883800+3 1.318257-2 2.108209+3 1.513561-2 1.523005+3 1.737801-2 1.091324+3 1.972423-2 7.983533+2 2.238721-2 5.801544+2 2.540973-2 4.188893+2 2.917427-2 2.915302+2 3.349654-2 2.013348+2 3.890451-2 1.337648+2 4.518559-2 8.818231+1 5.248075-2 5.770341+1 6.165950-2 3.627059+1 7.328245-2 2.188331+1 8.912509-2 1.224056+1 1.109175-1 6.340133+0 1.972423-1 1.109943+0 2.426610-1 5.964030-1 2.851018-1 3.703539-1 3.311311-1 2.395508-1 3.801894-1 1.614142-1 4.315191-1 1.132588-1 4.786301-1 8.532472-2 5.370318-1 6.274476-2 6.025596-1 4.649727-2 6.683439-1 3.576155-2 7.498942-1 2.693745-2 8.413951-1 2.044921-2 9.549926-1 1.520101-2 1.011579+0 1.337753-2 1.083927+0 1.157583-2 1.161449+0 1.008891-2 1.258925+0 8.656549-3 1.396368+0 7.167406-3 1.778279+0 4.668638-3 2.018366+0 3.754828-3 2.317395+0 2.985499-3 2.660725+0 2.392051-3 3.054921+0 1.930501-3 3.548134+0 1.542275-3 4.168694+0 1.220731-3 4.897788+0 9.735247-4 5.821032+0 7.702041-4 7.000000+0 6.045800-4 8.511380+0 4.717294-4 1.047129+1 3.657167-4 1.273503+1 2.895373-4 1.640590+1 2.157883-4 2.187762+1 1.560748-4 3.000000+1 1.104000-4 4.265795+1 7.573579-5 6.382635+1 4.961921-5 1.047129+2 2.976152-5 2.089296+2 1.472690-5 4.168694+2 7.335387-6 1.659587+3 1.833561-6 1.000000+5 3.038300-8 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.106000-3 3.951900-4 1.000000+5 3.951900-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.106000-3 5.630000-7 1.000000+5 5.630000-7 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.106000-3 7.102470-4 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 8.425500-4 1.872730+5 8.570000-4 1.928070+5 8.760000-4 1.987326+5 9.100000-4 2.067571+5 9.225714-4 2.090772+5 9.350000-4 2.108324+5 9.549926-4 2.109815+5 1.023293-3 2.080203+5 1.071519-3 2.048130+5 1.130000-3 1.996732+5 1.190000-3 1.934556+5 1.258925-3 1.855633+5 1.333521-3 1.766757+5 1.420000-3 1.661308+5 1.513561-3 1.549134+5 1.610000-3 1.438528+5 1.698244-3 1.343127+5 1.862087-3 1.181397+5 1.972423-3 1.084489+5 2.113489-3 9.712484+4 2.317395-3 8.318015+4 2.500000-3 7.276840+4 2.722701-3 6.205513+4 3.019952-3 5.072963+4 3.273407-3 4.305257+4 3.650000-3 3.417544+4 3.935501-3 2.897005+4 4.400000-3 2.247220+4 4.800000-3 1.831592+4 5.370318-3 1.394308+4 5.888437-3 1.107013+4 6.531306-3 8.480881+3 7.300000-3 6.316600+3 8.035261-3 4.868251+3 9.015711-3 3.534743+3 1.011579-2 2.545316+3 1.135011-2 1.818447+3 1.273503-2 1.289450+3 1.412538-2 9.404104+2 1.584893-2 6.578360+2 1.778279-2 4.571088+2 2.000000-2 3.131772+2 2.264644-2 2.085142+2 2.600160-2 1.316140+2 2.985383-2 8.242112+1 3.467369-2 4.924229+1 4.027170-2 2.920042+1 4.786301-2 1.584972+1 5.754399-2 8.194406+0 7.161434-2 3.713523+0 1.412538-1 3.123564-1 1.701200-1 1.596305-1 2.000000-1 8.963440-2 2.398833-1 4.731201-2 2.754229-1 2.933118-2 3.126079-1 1.905841-2 3.507519-1 1.296522-2 3.935501-1 8.876974-3 4.365158-1 6.355806-3 4.841724-1 4.585395-3 5.188000-1 3.709017-3 5.688529-1 2.815189-3 6.237348-1 2.151148-3 7.244360-1 1.406578-3 7.852356-1 1.114916-3 8.317638-1 9.495988-4 8.810489-1 8.137746-4 9.332543-1 7.026407-4 9.772372-1 6.287386-4 1.023293+0 5.662150-4 1.083927+0 5.004747-4 1.148154+0 4.454043-4 1.230269+0 3.901584-4 1.333521+0 3.368877-4 1.531087+0 2.646370-4 1.819701+0 1.949967-4 2.044000+0 1.597860-4 2.344229+0 1.273853-4 2.691535+0 1.021237-4 3.090295+0 8.246094-5 3.589219+0 6.591509-5 4.216965+0 5.220106-5 4.954502+0 4.165271-5 5.888437+0 3.297132-5 7.000000+0 2.628100-5 8.511380+0 2.050585-5 1.047129+1 1.589734-5 1.273503+1 1.258578-5 1.659587+1 9.257642-6 2.213095+1 6.698547-6 3.000000+1 4.799300-6 4.265795+1 3.292196-6 6.382635+1 2.156973-6 1.047129+2 1.293724-6 2.089296+2 6.401772-7 4.168694+2 3.188666-7 1.659587+3 7.970472-8 1.000000+5 1.320800-9 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 8.425500-4 3.131700-4 1.000000+5 3.131700-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 8.425500-4 3.520100-7 1.000000+5 3.520100-7 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 8.425500-4 5.290280-4 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 7.941700-4 3.483166+5 8.283800-4 3.597605+5 8.500000-4 3.643305+5 8.650000-4 3.660059+5 8.850000-4 3.650553+5 9.120108-4 3.618547+5 9.772372-4 3.529662+5 1.030000-3 3.436494+5 1.090000-3 3.313326+5 1.161449-3 3.154846+5 1.230269-3 2.996988+5 1.303167-3 2.828589+5 1.396368-3 2.618044+5 1.500000-3 2.395914+5 1.570000-3 2.255952+5 1.737801-3 1.949727+5 1.862087-3 1.753738+5 2.000000-3 1.558566+5 2.213095-3 1.306944+5 2.371374-3 1.152564+5 2.570396-3 9.877233+4 2.818383-3 8.226298+4 3.054921-3 6.963137+4 3.388442-3 5.572419+4 3.715352-3 4.537025+4 4.120975-3 3.570478+4 4.518559-3 2.864869+4 5.011872-3 2.219218+4 5.559043-3 1.705040+4 6.095369-3 1.340389+4 6.800000-3 9.994440+3 7.585776-3 7.391997+3 8.317638-3 5.699091+3 9.300000-3 4.128930+3 1.047129-2 2.906639+3 1.190000-2 1.971942+3 1.333521-2 1.384851+3 1.513561-2 9.268700+2 1.698244-2 6.385619+2 1.905461-2 4.369729+2 2.137962-2 2.971147+2 2.426610-2 1.929737+2 2.754229-2 1.244298+2 3.162278-2 7.650651+1 3.630781-2 4.670384+1 4.216965-2 2.715716+1 5.000000-2 1.453122+1 6.025596-2 7.265302+0 7.585776-2 3.060895+0 1.318257-1 3.806659-1 1.548817-1 2.084013-1 1.798871-1 1.199548-1 2.065380-1 7.255625-2 2.371374-1 4.421443-2 2.722701-1 2.715279-2 3.054921-1 1.821536-2 3.388442-1 1.280615-2 3.758374-1 9.068900-3 4.120975-1 6.719870-3 4.466836-1 5.202117-3 4.731513-1 4.352988-3 5.128614-1 3.414332-3 5.623413-1 2.605765-3 6.382635-1 1.814346-3 6.998420-1 1.403743-3 7.673615-1 1.094167-3 8.609938-1 8.067779-4 9.120108-1 6.971718-4 9.660509-1 6.069437-4 1.011579+0 5.467639-4 1.071519+0 4.833463-4 1.135011+0 4.299356-4 1.216186+0 3.761437-4 1.318257+0 3.242024-4 1.840772+0 1.798136-4 2.065380+0 1.477330-4 2.371374+0 1.176288-4 2.722701+0 9.436332-5 3.126079+0 7.624380-5 3.630781+0 6.098054-5 4.265795+0 4.831958-5 5.011872+0 3.857612-5 5.956621+0 3.055193-5 7.079458+0 2.437084-5 8.609938+0 1.901949-5 1.059254+1 1.475181-5 1.288250+1 1.168378-5 1.659587+1 8.710683-6 2.213095+1 6.302860-6 3.000000+1 4.515800-6 4.265795+1 3.097722-6 6.382635+1 2.029556-6 1.047129+2 1.217319-6 2.089296+2 6.023579-7 4.168694+2 3.000351-7 1.659587+3 7.499679-8 1.000000+5 1.242700-9 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 7.941700-4 3.095700-4 1.000000+5 3.095700-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 7.941700-4 9.189600-8 1.000000+5 9.189600-8 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 7.941700-4 4.845081-4 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 4.460800-4 6.887219+4 4.464000-4 6.758040+4 4.468000-4 6.642000+4 4.477000-4 6.434520+4 4.483000-4 6.330060+4 4.490000-4 6.232800+4 4.501000-4 6.125160+4 4.513000-4 6.049140+4 4.528000-4 5.991540+4 4.550000-4 5.954946+4 4.580000-4 5.949444+4 4.610000-4 5.983368+4 4.632000-4 6.047280+4 4.648000-4 6.123720+4 4.663000-4 6.224700+4 4.677351-4 6.353173+4 4.692000-4 6.521400+4 4.705000-4 6.706140+4 4.720000-4 6.965400+4 4.735000-4 7.279080+4 4.750000-4 7.652040+4 4.765000-4 8.091120+4 4.780000-4 8.600760+4 4.795000-4 9.188160+4 4.810000-4 9.858060+4 4.827000-4 1.072608+5 4.850000-4 1.209516+5 4.880000-4 1.424832+5 4.950000-4 2.099220+5 4.985000-4 2.525976+5 5.011872-4 2.891112+5 5.040000-4 3.304644+5 5.070000-4 3.778182+5 5.100000-4 4.281138+5 5.128614-4 4.785369+5 5.160000-4 5.362704+5 5.190000-4 5.933724+5 5.220000-4 6.519240+5 5.253000-4 7.173780+5 5.280000-4 7.712580+5 5.310000-4 8.308560+5 5.335000-4 8.799120+5 5.370318-4 9.475459+5 5.400000-4 1.002306+6 5.432503-4 1.059780+6 5.465000-4 1.114176+6 5.500000-4 1.169262+6 5.540000-4 1.227648+6 5.580000-4 1.281474+6 5.635000-4 1.347816+6 5.690000-4 1.406058+6 5.740000-4 1.452396+6 5.800000-4 1.500306+6 5.850000-4 1.533798+6 5.900000-4 1.561902+6 5.980000-4 1.596570+6 6.058100-4 1.620438+6 6.165950-4 1.640230+6 6.280000-4 1.649286+6 6.390000-4 1.649190+6 6.531306-4 1.639409+6 6.700000-4 1.615968+6 6.918310-4 1.574253+6 7.161434-4 1.519070+6 7.413102-4 1.456532+6 7.762471-4 1.366833+6 8.128305-4 1.273032+6 8.609938-4 1.154967+6 9.120108-4 1.038875+6 9.700000-4 9.198600+5 1.035142-3 8.027801+5 1.096478-3 7.063888+5 1.190000-3 5.836560+5 1.273503-3 4.953296+5 1.364583-3 4.158453+5 1.500000-3 3.243510+5 1.621810-3 2.624982+5 1.757924-3 2.093913+5 1.927525-3 1.607098+5 2.089296-3 1.266640+5 2.317395-3 9.257670+4 2.540973-3 6.955816+4 2.818383-3 5.005614+4 3.126079-3 3.573431+4 3.467369-3 2.532074+4 3.845918-3 1.780598+4 4.265795-3 1.243463+4 4.800000-3 8.192580+3 5.432503-3 5.238820+3 6.165950-3 3.284228+3 7.000000-3 2.038104+3 8.000000-3 1.221318+3 9.015711-3 7.657995+2 1.011579-2 4.850190+2 1.135011-2 3.051037+2 1.273503-2 1.907196+2 1.428894-2 1.185363+2 1.640590-2 6.645632+1 1.883649-2 3.697794+1 2.162719-2 2.042236+1 2.511886-2 1.065192+1 2.951209-2 5.244268+0 3.548134-2 2.314278+0 4.415704-2 8.688108-1 8.317638-2 5.002137-2 1.035142-1 1.877531-2 1.258925-1 7.870563-3 1.462177-1 4.071552-3 1.678804-1 2.231236-3 1.883649-1 1.360443-3 2.113489-1 8.351878-4 2.371374-1 5.163117-4 2.660725-1 3.215781-4 2.951209-1 2.115024-4 3.273407-1 1.400365-4 3.890451-1 7.120433-5 4.168694-1 5.463943-5 4.466836-1 4.221907-5 4.677351-1 3.575704-5 5.011872-1 2.807865-5 5.308844-1 2.307913-5 5.821032-1 1.702181-5 6.456542-1 1.214543-5 7.244360-1 8.213139-6 7.673615-1 6.787450-6 8.035261-1 5.856901-6 8.511380-1 4.925630-6 9.120108-1 4.032936-6 9.660509-1 3.424060-6 1.000000+0 3.122356-6 1.035142+0 2.866287-6 1.071519+0 2.645961-6 1.109175+0 2.454779-6 1.161449+0 2.236146-6 1.216186+0 2.049989-6 1.303167+0 1.813548-6 1.412538+0 1.584714-6 1.513561+0 1.415171-6 1.905461+0 9.433096-7 2.113489+0 7.912274-7 2.426610+0 6.307568-7 2.786121+0 5.066210-7 3.198895+0 4.098274-7 3.715352+0 3.281588-7 4.365158+0 2.603070-7 5.128614+0 2.080416-7 6.095369+0 1.649357-7 7.244360+0 1.316951-7 8.810489+0 1.028681-7 1.100000+1 7.844900-8 1.364583+1 6.078762-8 1.737801+1 4.600947-8 2.317395+1 3.333854-8 3.054921+1 2.464593-8 4.365158+1 1.682598-8 6.606934+1 1.089761-8 1.083927+2 6.539713-9 2.162719+2 3.237516-9 4.315191+2 1.612898-9 1.717908+3 4.03253-10 1.000000+5 6.91690-12 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 4.460800-4 1.858000-4 1.000000+5 1.858000-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 4.460800-4 4.746700-8 1.000000+5 4.746700-8 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 4.460800-4 2.602325-4 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 4.330900-4 1.048280+5 4.332000-4 1.031592+5 4.336000-4 9.972560+4 4.341000-4 9.623360+4 4.345000-4 9.391920+4 4.352000-4 9.066880+4 4.358000-4 8.854000+4 4.367000-4 8.609040+4 4.375000-4 8.450000+4 4.385000-4 8.306160+4 4.400000-4 8.164320+4 4.415704-4 8.077369+4 4.430000-4 8.034400+4 4.451800-4 8.013369+4 4.470000-4 8.029760+4 4.490000-4 8.086320+4 4.507000-4 8.174080+4 4.523000-4 8.298400+4 4.540000-4 8.484880+4 4.550000-4 8.624640+4 4.565000-4 8.882240+4 4.580000-4 9.203520+4 4.595000-4 9.595760+4 4.607000-4 9.965840+4 4.623810-4 1.057593+5 4.640000-4 1.127416+5 4.658000-4 1.219088+5 4.677351-4 1.335658+5 4.700000-4 1.498168+5 4.720000-4 1.667096+5 4.750000-4 1.968792+5 4.820000-4 2.912576+5 4.850000-4 3.418840+5 4.880000-4 3.981312+5 4.910000-4 4.595072+5 4.940000-4 5.254384+5 4.960000-4 5.716864+5 4.985000-4 6.318224+5 5.011872-4 6.990438+5 5.040000-4 7.718832+5 5.070000-4 8.518160+5 5.100000-4 9.335040+5 5.128614-4 1.012328+6 5.160000-4 1.098960+6 5.190000-4 1.181056+6 5.220000-4 1.261616+6 5.254100-4 1.350386+6 5.290000-4 1.439688+6 5.320000-4 1.510520+6 5.350000-4 1.577648+6 5.390000-4 1.661232+6 5.432503-4 1.742668+6 5.480000-4 1.825032+6 5.520000-4 1.887648+6 5.580000-4 1.970640+6 5.635000-4 2.035880+6 5.690000-4 2.091184+6 5.760000-4 2.148048+6 5.830000-4 2.191208+6 5.900000-4 2.222408+6 6.000000-4 2.250544+6 6.100000-4 2.263968+6 6.237348-4 2.265286+6 6.382635-4 2.250077+6 6.550000-4 2.215704+6 6.760830-4 2.158026+6 7.000000-4 2.079672+6 7.244360-4 1.993267+6 7.585776-4 1.868292+6 7.943282-4 1.738647+6 8.413951-4 1.575082+6 8.810489-4 1.447176+6 9.332543-4 1.292797+6 1.000000-3 1.119880+6 1.059254-3 9.864202+5 1.135011-3 8.401816+5 1.230269-3 6.919190+5 1.318257-3 5.814367+5 1.445440-3 4.565988+5 1.570000-3 3.648880+5 1.717908-3 2.834288+5 1.883649-3 2.172566+5 2.070000-3 1.641728+5 2.264644-3 1.248855+5 2.511886-3 9.039438+4 2.754229-3 6.735594+4 3.054921-3 4.802718+4 3.400000-3 3.358688+4 3.758374-3 2.385706+4 4.168694-3 1.663373+4 4.677351-3 1.104883+4 5.248075-3 7.277101+3 5.800000-3 5.029624+3 6.382635-3 3.512919+3 7.079458-3 2.367506+3 8.000000-3 1.474240+3 9.000000-3 9.266000+2 1.000000-2 6.077784+2 1.109175-2 3.991797+2 1.244515-2 2.486665+2 1.396368-2 1.539489+2 1.603245-2 8.588172+1 1.840772-2 4.753703+1 2.089296-2 2.745160+1 2.398833-2 1.497044+1 2.786121-2 7.705008+0 3.311311-2 3.551475+0 4.027170-2 1.463863+0 5.188000-2 4.605427-1 8.128305-2 5.876738-2 1.188502-1 1.044241-2 1.380384-1 5.323160-3 1.500000-1 3.676440-3 1.905461-1 1.303763-3 2.113489-1 8.267998-4 2.344229-1 5.340462-4 2.540973-1 3.824251-4 2.786121-1 2.629077-4 3.054921-1 1.820356-4 3.349654-1 1.269642-4 3.672823-1 8.921995-5 4.027170-1 6.318257-5 4.466836-1 4.319772-5 4.786301-1 3.371777-5 5.128614-1 2.649271-5 5.370318-1 2.265936-5 5.754399-1 1.806902-5 6.219700-1 1.411717-5 6.760830-1 1.089320-5 7.328245-1 8.536091-6 7.943282-1 6.732140-6 8.609938-1 5.343267-6 9.332543-1 4.267653-6 1.000000+0 3.537243-6 1.035142+0 3.242879-6 1.071519+0 2.990875-6 1.109175+0 2.773222-6 1.161449+0 2.525525-6 1.216186+0 2.315627-6 1.303167+0 2.049970-6 1.412538+0 1.793498-6 1.500000+0 1.628659-6 1.927525+0 1.047667-6 2.162719+0 8.627449-7 2.483133+0 6.886621-7 2.851018+0 5.537883-7 3.273407+0 4.484924-7 3.801894+0 3.595189-7 4.466836+0 2.854907-7 5.248075+0 2.284153-7 6.237348+0 1.812614-7 7.413102+0 1.448629-7 9.015711+0 1.132657-7 1.135011+1 8.560009-8 1.428894+1 6.527496-8 1.778279+1 5.078480-8 2.371374+1 3.682340-8 3.090295+1 2.757801-8 4.365158+1 1.906308-8 6.606934+1 1.234669-8 1.096478+2 7.322242-9 2.187762+2 3.625470-9 4.365158+2 1.806373-9 1.737801+3 4.51635-10 1.000000+5 7.83650-12 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 4.330900-4 1.840500-4 1.000000+5 1.840500-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 4.330900-4 1.082700-7 1.000000+5 1.082700-7 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 4.330900-4 2.489317-4 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 3.466400-4 4.810201+4 4.930000-4 3.685460+4 5.300000-4 3.458360+4 6.309573-4 2.946404+4 6.839116-4 2.716145+4 7.943282-4 2.308724+4 8.709636-4 2.077093+4 9.885531-4 1.779283+4 1.114000-3 1.528286+4 1.303167-3 1.238787+4 1.479108-3 1.038638+4 1.737801-3 8.237046+3 2.089296-3 6.264695+3 2.540973-3 4.642300+3 3.090295-3 3.413770+3 3.758374-3 2.491285+3 4.518559-3 1.839469+3 5.495409-3 1.322380+3 6.606934-3 9.618887+2 7.943282-3 6.944672+2 9.549926-3 4.977474+2 1.161449-2 3.466562+2 1.396368-2 2.447438+2 1.678804-2 1.715138+2 2.018366-2 1.192806+2 2.426610-2 8.231900+1 2.917427-2 5.637579+1 3.507519-2 3.830850+1 4.216965-2 2.583045+1 5.069907-2 1.728217+1 6.095369-2 1.146989+1 7.413102-2 7.361612+0 8.810489-2 4.943303+0 1.096478-1 2.960702+0 1.428894-1 1.578498+0 2.630268-1 3.642494-1 3.273407-1 2.167495-1 3.935501-1 1.409800-1 4.623810-1 9.741892-2 5.308844-1 7.143045-2 6.165950-1 5.142941-2 7.161434-1 3.731538-2 8.317638-1 2.728669-2 9.440609-1 2.107898-2 1.109175+0 1.533537-2 1.273503+0 1.173849-2 1.445440+0 9.262838-3 1.621810+0 7.519560-3 1.840772+0 6.022099-3 2.113489+0 4.763450-3 2.426610+0 3.797405-3 2.786121+0 3.050011-3 3.198895+0 2.467245-3 3.715352+0 1.975569-3 4.365158+0 1.567087-3 5.128614+0 1.252439-3 6.095369+0 9.929227-4 7.244360+0 7.928203-4 8.810489+0 6.193042-4 1.100000+1 4.722800-4 1.364583+1 3.659534-4 1.737801+1 2.769908-4 2.317395+1 2.007015-4 3.054921+1 1.483821-4 4.365158+1 1.012942-4 6.606934+1 6.560562-5 1.083927+2 3.937082-5 2.162719+2 1.949083-5 4.315191+2 9.710084-6 1.717908+3 2.427664-6 1.000000+5 4.164100-8 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 3.466400-4 2.057600-4 1.000000+5 2.057600-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.466400-4 8.930900-9 1.000000+5 8.930900-9 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.466400-4 1.408711-4 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.813300-4 1.600802+5 2.827000-4 1.525348+5 2.840000-4 1.470522+5 2.855000-4 1.423166+5 2.868000-4 1.390614+5 2.890000-4 1.347210+5 2.925000-4 1.292136+5 3.019952-4 1.164789+5 3.200000-4 9.524620+4 3.430000-4 7.572840+4 3.672823-4 6.189321+4 3.890451-4 5.255120+4 4.073803-4 4.641123+4 4.216965-4 4.252690+4 4.365158-4 3.918912+4 4.550000-4 3.578640+4 4.731513-4 3.305919+4 4.954502-4 3.031147+4 5.188000-4 2.796524+4 5.432503-4 2.596182+4 5.688529-4 2.425872+4 6.000000-4 2.259860+4 6.382635-4 2.098549+4 6.839116-4 1.945597+4 7.413102-4 1.793161+4 8.317638-4 1.609948+4 1.109175-3 1.239013+4 1.273503-3 1.085074+4 1.450000-3 9.511680+3 1.659587-3 8.228704+3 1.883649-3 7.128274+3 2.150000-3 6.088060+3 2.454709-3 5.158184+3 2.800000-3 4.341300+3 3.198895-3 3.618889+3 3.650000-3 2.998460+3 4.168694-3 2.461572+3 4.731513-3 2.024493+3 5.370318-3 1.652787+3 6.095369-3 1.339327+3 6.839116-3 1.099145+3 7.762471-3 8.783506+2 8.810489-3 6.967853+2 1.000000-2 5.488820+2 1.135011-2 4.293759+2 1.288250-2 3.335978+2 1.462177-2 2.574281+2 1.659587-2 1.973025+2 1.905461-2 1.464935+2 2.187762-2 1.079243+2 2.511886-2 7.890948+1 2.884032-2 5.727505+1 3.311311-2 4.127741+1 3.845918-2 2.872711+1 4.466836-2 1.984267+1 5.248075-2 1.321682+1 6.237348-2 8.481435+0 7.498942-2 5.241343+0 9.120108-2 3.118517+0 1.161449-1 1.628214+0 2.238721-1 2.758158-1 2.754229-1 1.583842-1 3.273407-1 1.004426-1 3.801894-1 6.814502-2 4.365158-1 4.796978-2 4.954502-1 3.500625-2 5.623413-1 2.572695-2 6.309573-1 1.957491-2 7.079458-1 1.499643-2 7.943282-1 1.157228-2 8.810489-1 9.206879-3 9.549926-1 7.756007-3 1.035142+0 6.580244-3 1.161449+0 5.240408-3 1.288250+0 4.297183-3 1.445440+0 3.473482-3 1.678804+0 2.655100-3 1.905461+0 2.129952-3 2.162719+0 1.720512-3 2.483133+0 1.373333-3 2.851018+0 1.104356-3 3.273407+0 8.943757-4 3.801894+0 7.169492-4 4.466836+0 5.693220-4 5.248075+0 4.555001-4 6.237348+0 3.614734-4 7.413102+0 2.889002-4 9.015711+0 2.258827-4 1.122018+1 1.730729-4 1.412538+1 1.319262-4 1.757924+1 1.026038-4 2.344229+1 7.437076-5 3.090295+1 5.499640-5 4.415704+1 3.755541-5 6.683439+1 2.432825-5 1.109175+2 1.443094-5 2.213095+2 7.146240-6 4.415704+2 3.560735-6 1.757924+3 8.903587-7 1.000000+5 1.562700-8 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.813300-4 1.848100-4 1.000000+5 1.848100-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.813300-4 1.630900-8 1.000000+5 1.630900-8 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.813300-4 9.650369-5 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.164200-4 3.685800+5 2.295000-4 3.333073+5 2.371374-4 3.161138+5 2.650000-4 2.676404+5 3.000000-4 2.288160+5 3.162278-4 2.152206+5 3.427678-4 1.976507+5 4.786301-4 1.403494+5 5.500000-4 1.208864+5 6.237348-4 1.048778+5 7.079458-4 9.026695+4 8.035261-4 7.711232+4 9.120108-4 6.540597+4 1.047129-3 5.422133+4 1.202264-3 4.459258+4 1.364583-3 3.703800+4 1.584893-3 2.951795+4 1.862087-3 2.291825+4 2.187762-3 1.764009+4 2.570396-3 1.346492+4 2.985383-3 1.039877+4 3.427678-3 8.138386+3 3.935501-3 6.327400+3 4.518559-3 4.885165+3 5.188000-3 3.744887+3 5.956621-3 2.848970+3 6.839116-3 2.151135+3 7.852356-3 1.611414+3 9.015711-3 1.197899+3 1.035142-2 8.838135+2 1.188502-2 6.469533+2 1.364583-2 4.698653+2 1.566751-2 3.385879+2 1.798871-2 2.421432+2 2.065380-2 1.718566+2 2.371374-2 1.210315+2 2.722701-2 8.457947+1 3.126079-2 5.867582+1 3.589219-2 4.041939+1 4.168694-2 2.678554+1 4.841724-2 1.761485+1 5.688529-2 1.112843+1 6.606934-2 7.212600+0 7.943282-2 4.195259+0 9.772372-2 2.262016+0 1.288250-1 9.827109-1 1.949845-1 2.805167-1 2.398833-1 1.507257-1 2.818383-1 9.358196-2 3.273407-1 6.054457-2 3.758374-1 4.080907-2 4.265795-1 2.863523-2 4.786301-1 2.089634-2 5.308844-1 1.584184-2 5.956621-1 1.173482-2 6.683439-1 8.758823-3 7.413102-1 6.778147-3 8.609938-1 4.721797-3 9.225714-1 4.019390-3 9.772372-1 3.533983-3 1.047129+0 3.051845-3 1.135011+0 2.593372-3 1.230269+0 2.219920-3 1.348963+0 1.871798-3 1.717908+0 1.215817-3 1.949845+0 9.760530-4 2.213095+0 7.893511-4 2.540973+0 6.308701-4 2.917427+0 5.079266-4 3.388442+0 4.048052-4 3.935501+0 3.250341-4 4.623810+0 2.585197-4 5.432503+0 2.071667-4 6.531306+0 1.621759-4 7.852356+0 1.279760-4 9.440609+0 1.017258-4 1.174898+1 7.807549-5 1.479108+1 5.960978-5 1.819701+1 4.703067-5 2.400000+1 3.454000-5 3.126079+1 2.588903-5 4.466836+1 1.768284-5 6.839116+1 1.132142-5 1.135011+2 6.717920-6 2.264644+2 3.327625-6 4.518559+2 1.658264-6 1.798871+3 4.146970-7 1.000000+5 7.448300-9 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.164200-4 1.312600-4 1.000000+5 1.312600-4 1 94000 7 7 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.164200-4 5.074100-9 1.000000+5 5.074100-9 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.164200-4 8.515493-5 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.195000-4 7.872882+5 1.196000-4 8.078520+5 1.202264-4 9.094397+5 1.208000-4 1.005904+6 1.213000-4 1.091604+6 1.217000-4 1.160636+6 1.222000-4 1.246808+6 1.227000-4 1.332524+6 1.233000-4 1.433772+6 1.237000-4 1.499680+6 1.242000-4 1.579584+6 1.247000-4 1.656336+6 1.252000-4 1.729416+6 1.258925-4 1.823870+6 1.265000-4 1.899392+6 1.270000-4 1.955944+6 1.277000-4 2.026216+6 1.285000-4 2.093176+6 1.293500-4 2.148432+6 1.302000-4 2.188068+6 1.310000-4 2.211744+6 1.320000-4 2.224688+6 1.330000-4 2.221476+6 1.340000-4 2.204912+6 1.350000-4 2.177680+6 1.365000-4 2.122060+6 1.380384-4 2.053201+6 1.400000-4 1.956208+6 1.430000-4 1.803304+6 1.479108-4 1.567686+6 1.540000-4 1.315316+6 1.584893-4 1.154777+6 1.640590-4 9.814294+5 1.698244-4 8.290473+5 1.905461-4 4.658844+5 2.018366-4 3.514314+5 2.120000-4 2.781816+5 2.207500-4 2.310008+5 2.280000-4 2.003360+5 2.350000-4 1.764840+5 2.400000-4 1.623104+5 2.454709-4 1.491052+5 2.520000-4 1.360184+5 2.580000-4 1.261424+5 2.635000-4 1.186044+5 2.691535-4 1.121307+5 2.754229-4 1.062229+5 2.818383-4 1.013308+5 2.884032-4 9.732008+4 2.951209-4 9.407140+4 3.030000-4 9.115200+4 3.100000-4 8.920800+4 3.180000-4 8.758240+4 3.280000-4 8.625080+4 3.390000-4 8.546280+4 3.535700-4 8.517732+4 3.715352-4 8.553015+4 4.415704-4 8.818131+4 4.731513-4 8.876900+4 5.011872-4 8.876912+4 5.308844-4 8.825552+4 5.650000-4 8.714040+4 6.025596-4 8.541051+4 6.382635-4 8.338275+4 6.850000-4 8.035080+4 7.328245-4 7.701000+4 7.852356-4 7.320988+4 8.500000-4 6.850880+4 9.120108-4 6.415614+4 9.885531-4 5.904592+4 1.071519-3 5.395224+4 1.161449-3 4.892800+4 1.258925-3 4.409396+4 1.380384-3 3.883083+4 1.500000-3 3.439592+4 1.659587-3 2.943841+4 1.840772-3 2.487018+4 2.018366-3 2.125142+4 2.213095-3 1.804344+4 2.426610-3 1.522308+4 2.691535-3 1.247809+4 3.000000-3 1.004736+4 3.311311-3 8.188685+3 3.672823-3 6.557335+3 4.073803-3 5.209934+3 4.518559-3 4.107765+3 5.011872-3 3.214477+3 5.559043-3 2.497139+3 6.165950-3 1.925803+3 6.839116-3 1.474626+3 7.585776-3 1.121352+3 8.413951-3 8.469325+2 9.440609-3 6.153016+2 1.059254-2 4.437367+2 1.188502-2 3.177266+2 1.333521-2 2.257988+2 1.479108-2 1.648359+2 1.659587-2 1.153631+2 1.883649-2 7.729054+1 2.162719-2 4.951594+1 2.454709-2 3.268598+1 2.818383-2 2.061782+1 3.235937-2 1.290597+1 3.758374-2 7.707852+0 4.365158-2 4.568874+0 5.188000-2 2.478828+0 6.309573-2 1.229353+0 8.128305-2 4.914561-1 1.333521-1 8.129788-2 1.659587-1 3.695267-2 1.972423-1 1.996164-2 2.317395-1 1.131205-2 2.660725-1 7.001462-3 3.019952-1 4.541367-3 3.388442-1 3.083898-3 3.801894-1 2.108992-3 4.265795-1 1.452684-3 4.677351-1 1.085072-3 5.069907-1 8.459850-4 5.559043-1 6.422008-4 6.382635-1 4.291337-4 7.079458-1 3.192391-4 8.128305-1 2.174683-4 8.709636-1 1.796751-4 9.225714-1 1.543809-4 9.660509-1 1.376131-4 1.011579+0 1.235268-4 1.059254+0 1.116024-4 1.122018+0 9.899679-5 1.188502+0 8.840266-5 1.273503+0 7.772038-5 1.396368+0 6.601557-5 1.531087+0 5.629614-5 1.840772+0 4.066114-5 2.065380+0 3.339789-5 2.371374+0 2.659052-5 2.722701+0 2.133114-5 3.126079+0 1.723513-5 3.630781+0 1.378450-5 4.265795+0 1.092253-5 5.011872+0 8.720244-6 5.956621+0 6.906315-6 7.079458+0 5.509256-6 8.609938+0 4.299433-6 1.059254+1 3.334606-6 1.300000+1 2.613100-6 1.678804+1 1.943410-6 2.264644+1 1.388887-6 3.019952+1 1.013512-6 4.315191+1 6.917639-7 6.531306+1 4.479287-7 1.071519+2 2.687532-7 2.137962+2 1.330261-7 4.265795+2 6.627080-8 1.698244+3 1.656767-8 1.000000+5 2.80920-10 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.195000-4 1.195000-4 1.000000+5 1.195000-4 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.195000-4 0.0 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 1.098500-4 1.294627+6 1.099600-4 1.341774+6 1.102500-4 1.435152+6 1.106000-4 1.547586+6 1.110500-4 1.689852+6 1.115000-4 1.829142+6 1.120000-4 1.980708+6 1.124000-4 2.098650+6 1.129500-4 2.255262+6 1.135011-4 2.405592+6 1.141000-4 2.560842+6 1.146000-4 2.683164+6 1.152000-4 2.820426+6 1.159000-4 2.966202+6 1.165000-4 3.078096+6 1.171000-4 3.177330+6 1.177000-4 3.263520+6 1.185000-4 3.358146+6 1.192600-4 3.426449+6 1.200000-4 3.473664+6 1.208000-4 3.504390+6 1.216186-4 3.515949+6 1.227000-4 3.504024+6 1.235000-4 3.478314+6 1.245000-4 3.429768+6 1.258925-4 3.339041+6 1.273503-4 3.224674+6 1.292000-4 3.064296+6 1.318257-4 2.828723+6 1.350000-4 2.554914+6 1.412538-4 2.086052+6 1.462177-4 1.778350+6 1.520000-4 1.477860+6 1.584893-4 1.201779+6 1.778279-4 6.696606+5 1.862087-4 5.332367+5 1.930000-4 4.492992+5 2.000000-4 3.814422+5 2.065380-4 3.313300+5 2.120000-4 2.972892+5 2.170000-4 2.712552+5 2.220000-4 2.493438+5 2.280000-4 2.276082+5 2.330000-4 2.126844+5 2.380000-4 2.001972+5 2.430000-4 1.897830+5 2.483133-4 1.806434+5 2.540973-4 1.725946+5 2.600160-4 1.660656+5 2.660725-4 1.608569+5 2.730000-4 1.563786+5 2.800000-4 1.531296+5 2.884032-4 1.505317+5 2.985383-4 1.487828+5 3.100000-4 1.480554+5 3.235937-4 1.482727+5 3.467369-4 1.499928+5 3.890451-4 1.536646+5 4.200000-4 1.550916+5 4.500000-4 1.552038+5 4.786301-4 1.542326+5 5.069907-4 1.523909+5 5.400000-4 1.493826+5 5.754399-4 1.454074+5 6.165950-4 1.401520+5 6.606934-4 1.340633+5 7.079458-4 1.273406+5 7.585776-4 1.201672+5 8.200000-4 1.116894+5 8.912509-4 1.024584+5 9.660509-4 9.350716+4 1.047129-3 8.475886+4 1.135011-3 7.628926+4 1.244515-3 6.714988+4 1.364583-3 5.861223+4 1.479108-3 5.173272+4 1.640590-3 4.371084+4 1.819701-3 3.660673+4 2.018366-3 3.040195+4 2.220000-3 2.544936+4 2.426610-3 2.142745+4 2.660725-3 1.782531+4 2.951209-3 1.438490+4 3.235937-3 1.181295+4 3.589219-3 9.393401+3 3.981072-3 7.415421+3 4.415704-3 5.809592+3 4.897788-3 4.517173+3 5.432503-3 3.485386+3 6.025596-3 2.669367+3 6.683439-3 2.029757+3 7.413102-3 1.532687+3 8.222426-3 1.149383+3 9.120108-3 8.560188+2 1.023293-2 6.125324+2 1.148154-2 4.351715+2 1.288250-2 3.067963+2 1.412538-2 2.305441+2 1.584893-2 1.600546+2 1.778279-2 1.102931+2 2.018366-2 7.264824+1 2.290868-2 4.751460+1 2.600160-2 3.085008+1 2.951209-2 1.989090+1 3.388442-2 1.223027+1 3.890451-2 7.463810+0 4.466836-2 4.519607+0 5.248075-2 2.497309+0 6.456542-2 1.154490+0 1.273503-1 9.001532-2 1.548817-1 4.339453-2 1.819701-1 2.396144-2 2.113489-1 1.390788-2 2.398833-1 8.838182-3 2.691535-1 5.893037-3 3.000000-1 4.049685-3 3.349654-1 2.787871-3 3.715352-1 1.977701-3 4.120975-1 1.413862-3 4.518559-1 1.056488-3 4.897788-1 8.239735-4 5.308844-1 6.473214-4 5.821032-1 4.951818-4 6.456542-1 3.691931-4 7.079458-1 2.863977-4 7.762471-1 2.237819-4 8.609938-1 1.701338-4 9.120108-1 1.469627-4 9.660509-1 1.278914-4 1.011579+0 1.151815-4 1.071519+0 1.017997-4 1.135011+0 9.053819-5 1.216186+0 7.920523-5 1.318257+0 6.827401-5 1.640590+0 4.637764-5 1.883649+0 3.639957-5 2.113489+0 2.994409-5 2.426610+0 2.387157-5 2.786121+0 1.917283-5 3.198895+0 1.550950-5 3.715352+0 1.241912-5 4.365158+0 9.851263-6 5.128614+0 7.873130-6 6.095369+0 6.241724-6 7.244360+0 4.983776-6 8.810489+0 3.893055-6 1.100000+1 2.968800-6 1.364583+1 2.300438-6 1.737801+1 1.741207-6 2.317395+1 1.261681-6 3.054921+1 9.327116-7 4.365158+1 6.367664-7 6.606934+1 4.124053-7 1.083927+2 2.474924-7 2.162719+2 1.225229-7 4.315191+2 6.103895-8 1.717908+3 1.526036-8 1.000000+5 2.61760-10 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 1.098500-4 1.098500-4 1.000000+5 1.098500-4 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 1.098500-4 0.0 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.500000+1 0.0 0.0 0.0 7.400000-6 4.467599+5 7.440000-6 4.437774+5 7.700000-6 4.352351+5 7.943282-6 4.306623+5 8.128305-6 4.289398+5 8.420000-6 4.295085+5 8.709636-6 4.334852+5 9.015711-6 4.409554+5 9.332543-6 4.519332+5 9.660509-6 4.664644+5 1.000000-5 4.844677+5 1.035142-5 5.060215+5 1.071519-5 5.311972+5 1.122018-5 5.705935+5 1.180000-5 6.215506+5 1.244515-5 6.845978+5 1.333521-5 7.816042+5 1.445440-5 9.185961+5 1.640590-5 1.194603+6 2.070000-5 1.945819+6 2.264644-5 2.334628+6 2.454709-5 2.729820+6 2.600160-5 3.034873+6 2.754229-5 3.351875+6 2.917427-5 3.675021+6 3.080000-5 3.979134+6 3.235937-5 4.248969+6 3.400000-5 4.507357+6 3.589219-5 4.774328+6 3.801894-5 5.035696+6 4.027170-5 5.269652+6 4.265795-5 5.476743+6 4.518559-5 5.654212+6 4.800000-5 5.801609+6 5.080000-5 5.899040+6 5.308844-5 5.940029+6 5.559043-5 5.943168+6 5.821032-5 5.902319+6 6.070000-5 5.822849+6 6.309573-5 5.710613+6 6.580000-5 5.548452+6 6.839116-5 5.365630+6 7.079458-5 5.175256+6 7.328245-5 4.962296+6 7.585776-5 4.732081+6 7.852356-5 4.487360+6 8.150000-5 4.208659+6 8.413951-5 3.960932+6 8.709636-5 3.687137+6 9.015711-5 3.408640+6 9.332543-5 3.127186+6 9.660509-5 2.847249+6 9.950000-5 2.611364+6 1.023293-4 2.391055+6 1.050000-4 2.193445+6 1.083927-4 1.958873+6 1.110000-4 1.791310+6 1.135011-4 1.640522+6 1.170000-4 1.445887+6 1.205000-4 1.270459+6 1.240000-4 1.113231+6 1.273503-4 9.781533+5 1.303167-4 8.703491+5 1.340000-4 7.510401+5 1.365000-4 6.784641+5 1.400000-4 5.869778+5 1.430000-4 5.171609+5 1.465000-4 4.449731+5 1.500000-4 3.818136+5 1.531087-4 3.323818+5 1.566751-4 2.825333+5 1.603245-4 2.383805+5 1.640590-4 1.996059+5 1.670000-4 1.730760+5 1.705000-4 1.455365+5 1.740000-4 1.219007+5 1.770000-4 1.044201+5 1.800000-4 8.922219+4 1.835000-4 7.403147+4 1.865000-4 6.292701+4 1.905461-4 5.040307+4 2.018366-4 2.731856+4 2.045000-4 2.386583+4 2.068000-4 2.137185+4 2.090000-4 1.937045+4 2.110000-4 1.784914+4 2.125000-4 1.688005+4 2.140000-4 1.604801+4 2.155000-4 1.534431+4 2.168000-4 1.483183+4 2.183000-4 1.434591+4 2.196000-4 1.401072+4 2.213095-4 1.368336+4 2.240900-4 1.331622+4 2.264644-4 1.312028+4 2.290868-4 1.301489+4 2.317395-4 1.301528+4 2.344229-4 1.311620+4 2.371374-4 1.331464+4 2.398833-4 1.360954+4 2.426610-4 1.400153+4 2.454709-4 1.449278+4 2.483133-4 1.508682+4 2.511886-4 1.578842+4 2.540973-4 1.660353+4 2.570396-4 1.753916+4 2.600160-4 1.860327+4 2.630268-4 1.980468+4 2.660725-4 2.115288+4 2.691535-4 2.265795+4 2.722701-4 2.433023+4 2.786121-4 2.821790+4 3.000000-4 4.626877+4 3.090295-4 4.980826+4 3.162278-4 5.248197+4 3.235937-4 5.506625+4 3.311311-4 5.753987+4 3.427678-4 6.099917+4 3.548134-4 6.410308+4 3.672823-4 6.679944+4 3.801894-4 6.904702+4 3.935501-4 7.081649+4 4.027170-4 7.169975+4 4.168694-4 7.253565+4 4.315191-4 7.289742+4 4.466836-4 7.281399+4 4.623810-4 7.232270+4 4.786301-4 7.146720+4 5.011872-4 6.985050+4 5.248075-4 6.790825+4 5.495409-4 6.557475+4 5.754399-4 6.292724+4 6.095369-4 5.930595+4 6.456542-4 5.545644+4 6.839116-4 5.146563+4 7.244360-4 4.744020+4 7.673615-4 4.345433+4 8.128305-4 3.956194+4 8.709636-4 3.508406+4 9.332543-4 3.087785+4 1.000000-3 2.698695+4 1.071519-3 2.343999+4 1.148154-3 2.022974+4 1.244515-3 1.690343+4 1.348963-3 1.401803+4 1.462177-3 1.154889+4 1.584893-3 9.451441+3 1.717908-3 7.682615+3 1.883649-3 6.016283+3 2.089296-3 4.530981+3 2.290868-3 3.497135+3 2.511886-3 2.679221+3 2.722701-3 2.108678+3 2.985383-3 1.589652+3 3.273407-3 1.189662+3 3.630781-3 8.518288+2 4.073803-3 5.830097+2 4.518559-3 4.114275+2 5.011872-3 2.881547+2 5.559043-3 2.002512+2 6.165950-3 1.381465+2 6.839116-3 9.462712+1 7.585776-3 6.437361+1 8.413951-3 4.349987+1 9.440609-3 2.793331+1 1.071519-2 1.702476+1 1.202264-2 1.077887+1 1.355400-2 6.646792+0 1.531087-2 4.028205+0 1.737801-2 2.375072+0 1.995262-2 1.323903+0 2.317395-2 6.975740-1 2.691535-2 3.647733-1 3.126079-2 1.894418-1 3.758374-2 8.387256-2 4.677351-2 3.160543-2 9.015711-2 1.661638-3 1.122019-1 6.264589-4 1.364583-1 2.635612-4 1.531088-1 1.593494-4 1.737801-1 9.238022-5 1.972423-1 5.396403-5 2.264644-1 3.021034-5 2.540973-1 1.875889-5 2.851018-1 1.173517-5 3.162278-1 7.750246-6 3.507519-1 5.156758-6 3.890451-1 3.457690-6 4.315191-1 2.336218-6 4.731513-1 1.661464-6 5.069907-1 1.294467-6 5.495409-1 9.767290-7 5.956621-1 7.424479-7 6.456542-1 5.682157-7 7.079458-1 4.217558-7 8.035261-1 2.828885-7 8.413951-1 2.428848-7 8.810489-1 2.097528-7 9.225714-1 1.824543-7 9.549926-1 1.652606-7 9.885531-1 1.505069-7 1.023293+0 1.379025-7 1.059254+0 1.270860-7 1.096478+0 1.177220-7 1.148154+0 1.070451-7 1.202264+0 9.798846-8 1.288250+0 8.657134-8 1.396368+0 7.556087-8 1.513561+0 6.620962-8 1.905461+0 4.413280-8 2.113489+0 3.701929-8 2.426610+0 2.951195-8 2.786121+0 2.370347-8 3.198895+0 1.917427-8 3.715352+0 1.535299-8 4.365158+0 1.217845-8 5.128614+0 9.733277-9 6.095369+0 7.716575-9 7.244360+0 6.161416-9 8.810489+0 4.812909-9 1.100000+1 3.670300-9 1.364583+1 2.844015-9 1.737801+1 2.152531-9 2.344229+1 1.540065-9 3.090295+1 1.138813-9 4.415704+1 7.77698-10 6.683439+1 5.03784-10 1.109175+2 2.98836-10 2.213095+2 1.47983-10 4.415704+2 7.37348-11 1.757924+3 1.84373-11 1.000000+5 3.23610-13 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.500000+1 0.0 0.0 0.0 7.400000-6 7.400000-6 1.000000+5 7.400000-6 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.500000+1 0.0 0.0 0.0 7.400000-6 0.0 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.600000+1 0.0 0.0 0.0 6.250000-6 7.373782+5 6.310000-6 7.301723+5 6.531306-6 7.155645+5 6.760830-6 7.067169+5 7.000000-6 7.030728+5 7.244360-6 7.049374+5 7.500000-6 7.116031+5 7.762471-6 7.232861+5 8.035261-6 7.396051+5 8.350000-6 7.632237+5 8.709636-6 7.957812+5 9.120108-6 8.390463+5 9.549926-6 8.902669+5 1.011579-5 9.656006+5 1.083927-5 1.073288+6 1.174898-5 1.224126+6 1.303167-5 1.461745+6 1.513561-5 1.906421+6 2.018366-5 3.201981+6 2.213095-5 3.757299+6 2.400000-5 4.297472+6 2.540973-5 4.698357+6 2.691535-5 5.110050+6 2.851018-5 5.522335+6 3.019952-5 5.925110+6 3.198895-5 6.306084+6 3.388442-5 6.660279+6 3.589219-5 6.982749+6 3.801894-5 7.266021+6 4.027170-5 7.512544+6 4.265795-5 7.720243+6 4.518559-5 7.881107+6 4.800000-5 7.999951+6 5.011872-5 8.043466+6 5.248075-5 8.043873+6 5.500000-5 7.994945+6 5.730000-5 7.901002+6 6.000000-5 7.733722+6 6.237348-5 7.547123+6 6.456542-5 7.343279+6 6.683439-5 7.103509+6 6.918310-5 6.835389+6 7.161434-5 6.543761+6 7.413102-5 6.227747+6 7.673615-5 5.892333+6 8.000000-5 5.473129+6 8.300000-5 5.089781+6 8.609938-5 4.698909+6 8.912509-5 4.330009+6 9.225714-5 3.961237+6 9.500000-5 3.649404+6 9.800000-5 3.324729+6 1.011579-4 3.003086+6 1.040000-4 2.730139+6 1.071519-4 2.447277+6 1.100000-4 2.211373+6 1.135011-4 1.945724+6 1.170000-4 1.705254+6 1.205000-4 1.489837+6 1.240000-4 1.298218+6 1.273503-4 1.134485+6 1.303167-4 1.004394+6 1.340000-4 8.612431+5 1.365000-4 7.745997+5 1.400000-4 6.658523+5 1.430000-4 5.832786+5 1.465000-4 4.984044+5 1.500000-4 4.245838+5 1.531087-4 3.671007+5 1.566751-4 3.094884+5 1.603245-4 2.588713+5 1.630000-4 2.265462+5 1.665000-4 1.896051+5 1.700000-4 1.580063+5 1.730000-4 1.347106+5 1.760000-4 1.145448+5 1.790000-4 9.715779+4 1.820000-4 8.221677+4 1.854000-4 6.788809+4 1.972423-4 3.525733+4 2.000000-4 3.053224+4 2.018366-4 2.853098+4 2.041738-4 2.642991+4 2.065380-4 2.471981+4 2.078400-4 2.392747+4 2.089296-4 2.333577+4 2.118800-4 2.201800+4 2.137962-4 2.135446+4 2.162719-4 2.068680+4 2.187762-4 2.020018+4 2.213095-4 1.987614+4 2.238721-4 1.970068+4 2.264644-4 1.966347+4 2.290868-4 1.975724+4 2.317395-4 1.997731+4 2.344229-4 2.032122+4 2.371374-4 2.078845+4 2.398833-4 2.138019+4 2.426610-4 2.209914+4 2.454709-4 2.294939+4 2.483133-4 2.393626+4 2.511886-4 2.506618+4 2.540973-4 2.634658+4 2.570396-4 2.778574+4 2.600160-4 2.939266+4 2.630268-4 3.117685+4 2.660725-4 3.314819+4 2.722701-4 3.769177+4 2.818383-4 4.614429+4 2.951209-4 6.068990+4 3.000000-4 6.674946+4 3.162278-4 7.311905+4 3.311311-4 7.863673+4 3.427678-4 8.262902+4 3.548134-4 8.639843+4 3.672823-4 8.984902+4 3.801894-4 9.288023+4 3.935501-4 9.539020+4 4.000000-4 9.636270+4 4.120975-4 9.704824+4 4.265795-4 9.727825+4 4.415704-4 9.693964+4 4.570882-4 9.608138+4 4.731513-4 9.475973+4 5.000000-4 9.195161+4 5.248075-4 8.889895+4 5.495409-4 8.552442+4 5.754399-4 8.178834+4 6.095369-4 7.676103+4 6.456542-4 7.149807+4 6.839116-4 6.611216+4 7.244360-4 6.073947+4 7.673615-4 5.546773+4 8.128305-4 5.035637+4 8.709636-4 4.451254+4 9.332543-4 3.905228+4 1.000000-3 3.402986+4 1.071519-3 2.947596+4 1.148154-3 2.537228+4 1.244515-3 2.113726+4 1.348963-3 1.747720+4 1.479108-3 1.396539+4 1.603245-3 1.140165+4 1.737801-3 9.246698+3 1.883649-3 7.446868+3 2.041738-3 5.942949+3 2.213095-3 4.711227+3 2.426610-3 3.586082+3 2.660725-3 2.710196+3 2.985383-3 1.897577+3 3.311311-3 1.366238+3 3.672823-3 9.760800+2 4.073803-3 6.918997+2 4.518559-3 4.865490+2 5.011872-3 3.395364+2 5.559043-3 2.351640+2 6.165950-3 1.616351+2 6.839116-3 1.102977+2 7.585776-3 7.474332+1 8.413951-3 5.030683+1 9.440609-3 3.215900+1 1.071519-2 1.950031+1 1.202264-2 1.228694+1 1.355400-2 7.537482+0 1.513561-2 4.767093+0 1.717908-2 2.796008+0 1.949845-2 1.627663+0 2.238721-2 8.957880-1 2.600160-2 4.654249-1 3.019952-2 2.400343-1 3.589219-2 1.108388-1 4.365158-2 4.579657-2 5.821032-2 1.236257-2 9.120108-2 1.595902-3 1.174898-1 5.057429-4 1.348963-1 2.719990-4 1.513561-1 1.632158-4 1.717908-1 9.387555-5 1.927525-1 5.718059-5 2.187762-1 3.339184-5 2.426610-1 2.165321-5 2.691535-1 1.414641-5 2.951209-1 9.757807-6 3.235937-1 6.780982-6 3.507519-1 4.963755-6 3.801894-1 3.656549-6 4.216965-1 2.489523-6 4.518559-1 1.938944-6 4.841724-1 1.520450-6 5.069907-1 1.299221-6 5.432503-1 1.034787-6 5.888437-1 7.996703-7 6.606935-1 5.565436-7 7.161434-1 4.345377-7 7.762471-1 3.415815-7 8.511380-1 2.605483-7 9.015711-1 2.214621-7 9.440609-1 1.957125-7 9.885531-1 1.741470-7 1.035142+0 1.561795-7 1.083927+0 1.411363-7 1.135011+0 1.283751-7 1.202264+0 1.148874-7 1.303167+0 9.924103-8 1.428894+0 8.462338-8 1.513561+0 7.673691-8 1.862087+0 5.322951-8 2.065380+0 4.459942-8 2.371374+0 3.550931-8 2.722701+0 2.848556-8 3.126079+0 2.301574-8 3.630781+0 1.840832-8 4.265795+0 1.458634-8 5.011872+0 1.164500-8 5.956621+0 9.222624-9 7.079458+0 7.356974-9 8.609938+0 5.741436-9 1.059254+1 4.453004-9 1.300000+1 3.489500-9 1.678804+1 2.595233-9 2.238721+1 1.878495-9 3.019952+1 1.353465-9 4.315191+1 9.23765-10 6.531306+1 5.98156-10 1.071519+2 3.58897-10 2.137962+2 1.77648-10 4.265795+2 8.84972-11 1.698244+3 2.21240-11 1.000000+5 3.75140-13 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.600000+1 0.0 0.0 0.0 6.250000-6 6.250000-6 1.000000+5 6.250000-6 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.600000+1 0.0 0.0 0.0 6.250000-6 0.0 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.312000-5 3.895960+5 5.370318-5 3.795705+5 5.495409-5 3.533027+5 5.650000-5 3.220820+5 6.382635-5 2.103379+5 6.650000-5 1.835262+5 6.918310-5 1.620393+5 7.161434-5 1.462381+5 7.413102-5 1.327526+5 7.673615-5 1.211954+5 8.000000-5 1.093506+5 8.317638-5 9.994621+4 8.709636-5 9.048472+4 9.150000-5 8.192800+4 9.660509-5 7.399954+4 1.020000-4 6.733400+4 1.071519-4 6.220828+4 1.135011-4 5.714483+4 1.202264-4 5.289327+4 1.273503-4 4.927368+4 1.380384-4 4.497562+4 1.621810-4 3.794856+4 2.317395-4 2.628291+4 2.722701-4 2.208341+4 3.235937-4 1.820200+4 3.758374-4 1.527278+4 4.466836-4 1.238330+4 5.248075-4 1.009745+4 6.165950-4 8.180034+3 7.413102-4 6.373348+3 8.810489-4 5.003305+3 1.047129-3 3.899526+3 1.258925-3 2.966437+3 1.550000-3 2.159840+3 1.905461-3 1.564304+3 2.426610-3 1.063651+3 3.090295-3 7.175912+2 3.890451-3 4.897911+2 4.841724-3 3.382507+2 5.956621-3 2.364026+2 7.244360-3 1.672766+2 8.810489-3 1.174839+2 1.047129-2 8.530021+1 1.273503-2 5.888275+1 1.566751-2 3.947057+1 2.089296-2 2.241476+1 2.511886-2 1.549705+1 3.000000-2 1.077813+1 3.548134-2 7.576414+0 4.216965-2 5.232640+0 5.069907-2 3.498387+0 6.095369-2 2.321306+0 7.413102-2 1.489508+0 8.709636-2 1.027064+0 1.083927-1 6.151139-1 1.412538-1 3.278667-1 2.630268-1 7.351796-2 3.235937-1 4.494074-2 3.890451-1 2.921591-2 4.570882-1 2.017836-2 5.248075-1 1.478677-2 6.095369-1 1.064019-2 7.079458-1 7.715494-3 8.222427-1 5.638905-3 9.332543-1 4.353063-3 1.071519+0 3.311369-3 1.250000+0 2.454300-3 1.412538+0 1.950434-3 1.584893+0 1.581149-3 1.798871+0 1.264556-3 2.044000+0 1.016600-3 2.344229+0 8.104142-4 2.691535+0 6.497133-4 3.090295+0 5.246368-4 3.589219+0 4.193709-4 4.216965+0 3.321177-4 4.954502+0 2.650031-4 5.888437+0 2.097679-4 7.000000+0 1.672100-4 8.413951+0 1.323573-4 1.023293+1 1.040125-4 1.244515+1 8.227706-5 1.603245+1 6.127334-5 2.089296+1 4.544004-5 2.851018+1 3.226422-5 4.073803+1 2.199445-5 6.025596+1 1.457116-5 9.885531+1 8.731602-6 1.927525+2 4.419541-6 3.845918+2 2.200126-6 1.531087+3 5.496725-7 1.000000+5 8.402900-9 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.312000-5 5.312000-5 1.000000+5 5.312000-5 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.312000-5 0.0 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 3.392000-5 9.744977+6 3.430000-5 9.270120+6 3.510000-5 8.413100+6 3.589219-5 7.706066+6 3.700000-5 6.893080+6 3.810000-5 6.229460+6 3.981072-5 5.400975+6 4.220000-5 4.508780+6 5.011872-5 2.683951+6 5.623413-5 1.881094+6 6.918310-5 9.872916+5 7.800000-5 6.848080+5 9.549926-5 3.733147+5 1.244515-4 1.698887+5 1.450000-4 1.086154+5 1.640590-4 7.619061+4 1.819701-4 5.696984+4 2.000000-4 4.399540+4 2.187762-4 3.465748+4 2.371374-4 2.816364+4 2.540973-4 2.372826+4 2.730000-4 1.999844+4 2.917427-4 1.718728+4 3.126079-4 1.478170+4 3.350000-4 1.280266+4 3.589219-4 1.118173+4 3.801894-4 1.004747+4 4.073803-4 8.900123+3 4.365158-4 7.937427+3 4.700000-4 7.075380+3 5.069907-4 6.334191+3 5.559043-4 5.584677+3 6.095369-4 4.961004+3 6.760830-4 4.372032+3 7.852356-4 3.673097+3 1.161449-3 2.357052+3 1.396368-3 1.899649+3 1.640590-3 1.561786+3 1.927525-3 1.274465+3 2.238721-3 1.047659+3 2.600160-3 8.550001+2 3.019952-3 6.925689+2 3.467369-3 5.662996+2 4.000000-3 4.564480+2 4.581000-3 3.692052+2 5.248075-3 2.962773+2 6.000000-3 2.367580+2 6.839116-3 1.887248+2 7.762471-3 1.505216+2 8.810489-3 1.192181+2 1.011579-2 9.173810+1 1.161449-2 7.003151+1 1.333521-2 5.303973+1 1.531087-2 3.985740+1 1.798871-2 2.835695+1 2.041738-2 2.149605+1 2.344229-2 1.576731+1 2.691535-2 1.148668+1 3.090295-2 8.309166+0 3.589219-2 5.804268+0 4.168694-2 4.023397+0 4.897788-2 2.689547+0 5.754399-2 1.784294+0 6.839116-2 1.140521+0 8.317638-2 6.811868-1 1.035142-1 3.798042-1 2.187762-1 5.007953-2 2.691535-1 2.873737-2 3.235937-1 1.766779-2 3.758374-1 1.198069-2 4.315191-1 8.428624-3 4.954502-1 5.975249-3 5.623413-1 4.391385-3 6.309573-1 3.341380-3 7.079458-1 2.559967-3 7.943282-1 1.975510-3 8.810489-1 1.571618-3 9.549926-1 1.323938-3 1.035142+0 1.123296-3 1.161449+0 8.945686-4 1.288250+0 7.335259-4 1.445440+0 5.929362-4 1.678804+0 4.532374-4 1.905461+0 3.635853-4 2.162719+0 2.936867-4 2.483133+0 2.344246-4 2.851018+0 1.885145-4 3.273407+0 1.526727-4 3.801894+0 1.223863-4 4.466836+0 9.718640-5 5.248075+0 7.775607-5 6.237348+0 6.170424-5 7.413102+0 4.931570-5 9.015711+0 3.855882-5 1.122018+1 2.954464-5 1.412538+1 2.251947-5 1.757924+1 1.751513-5 2.344229+1 1.269554-5 3.090295+1 9.388153-6 4.415704+1 6.410904-6 6.683439+1 4.152928-6 1.096478+2 2.492698-6 2.187762+2 1.234149-6 4.365158+2 6.149100-7 1.737801+3 1.537425-7 1.000000+5 2.667700-9 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 3.392000-5 3.392000-5 1.000000+5 3.392000-5 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 3.392000-5 0.0 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 2.342000-5 2.485194+7 2.360000-5 2.379260+7 2.426610-5 2.074284+7 2.483133-5 1.864841+7 2.550000-5 1.659632+7 2.630268-5 1.459101+7 2.722701-5 1.272746+7 2.819900-5 1.114311+7 2.960000-5 9.340360+6 3.150000-5 7.511040+6 3.427678-5 5.636683+6 4.000000-5 3.372256+6 4.623810-5 2.094697+6 5.128614-5 1.499830+6 5.559043-5 1.163763+6 6.000000-5 9.213400+5 6.456542-5 7.414472+5 6.918310-5 6.085716+5 7.328245-5 5.192783+5 7.800000-5 4.400560+5 8.317638-5 3.738683+5 8.810489-5 3.252114+5 9.332543-5 2.846589+5 9.900000-5 2.499124+5 1.060000-4 2.166124+5 1.135011-4 1.891338+5 1.220000-4 1.651148+5 1.303167-4 1.467995+5 1.400000-4 1.300548+5 1.513561-4 1.148747+5 1.650000-4 1.009640+5 1.819701-4 8.790953+4 2.065380-4 7.412528+4 2.371374-4 6.205274+4 4.120975-4 3.137607+4 5.069907-4 2.413187+4 6.095369-4 1.896745+4 7.161434-4 1.525490+4 8.511380-4 1.198423+4 1.000000-3 9.495640+3 1.174898-3 7.466152+3 1.364583-3 5.930749+3 1.603245-3 4.593217+3 1.883649-3 3.531018+3 2.238721-3 2.643793+3 2.630268-3 2.003539+3 3.090295-3 1.507049+3 3.589219-3 1.148864+3 4.168694-3 8.695037+2 4.841724-3 6.530511+2 5.559043-3 4.978324+2 6.382635-3 3.767831+2 7.328245-3 2.830614+2 8.413951-3 2.110690+2 9.660509-3 1.562278+2 1.122018-2 1.119769+2 1.288250-2 8.176468+1 1.479108-2 5.925247+1 1.678804-2 4.374145+1 1.905461-2 3.206566+1 2.187762-2 2.267952+1 2.511886-2 1.591859+1 2.884032-2 1.109064+1 3.311311-2 7.671627+0 3.845918-2 5.106099+0 4.466836-2 3.371595+0 5.188000-2 2.209922+0 6.095369-2 1.391642+0 7.244360-2 8.408987-1 8.810489-2 4.713012-1 1.071519-1 2.622946-1 1.972423-1 4.147120-2 2.426610-1 2.229427-2 2.851018-1 1.385033-2 3.311311-1 8.967134-3 3.801894-1 6.048904-3 4.315191-1 4.247965-3 4.841724-1 3.102576-3 5.370318-1 2.354089-3 6.025596-1 1.745314-3 6.760830-1 1.303889-3 7.498942-1 1.009951-3 8.609938-1 7.237986-4 9.225714-1 6.162388-4 9.772372-1 5.419003-4 1.047129+0 4.680459-4 1.135011+0 3.977560-4 1.230269+0 3.404636-4 1.348963+0 2.870532-4 1.717908+0 1.864154-4 1.949845+0 1.496652-4 2.238721+0 1.187920-4 2.570396+0 9.500067-5 2.951209+0 7.652190-5 3.427678+0 6.102192-5 4.000000+0 4.869000-5 4.677351+0 3.901215-5 5.495409+0 3.127864-5 6.606934+0 2.449826-5 7.943282+0 1.934188-5 9.549926+0 1.538095-5 1.174898+1 1.197291-5 1.479108+1 9.141121-6 1.819701+1 7.212154-6 2.400000+1 5.296700-6 3.126079+1 3.969992-6 4.466836+1 2.711690-6 6.839116+1 1.736120-6 1.135011+2 1.030156-6 2.264644+2 5.102881-7 4.518559+2 2.542928-7 1.798871+3 6.359327-8 1.000000+5 1.142200-9 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 2.342000-5 2.342000-5 1.000000+5 2.342000-5 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 2.342000-5 0.0 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 5.420000-6 9.579960+6 5.688529-6 8.243580+6 6.606934-6 5.113119+6 7.673615-6 3.197349+6 8.912509-6 2.015875+6 1.047129-5 1.237379+6 1.216186-5 7.925038+5 1.412538-5 5.112191+5 1.640590-5 3.324280+5 1.883649-5 2.251284+5 2.089296-5 1.691464+5 2.317395-5 1.279674+5 2.540973-5 1.005725+5 2.786121-5 7.964403+4 3.019952-5 6.541563+4 3.235937-5 5.561569+4 3.500000-5 4.659420+4 3.758374-5 3.994882+4 4.073803-5 3.381904+4 4.400000-5 2.906940+4 4.786301-5 2.485045+4 5.188000-5 2.153516+4 5.688529-5 1.842149+4 6.237348-5 1.588953+4 6.918310-5 1.355285+4 7.673615-5 1.163970+4 8.912509-5 9.437399+3 1.011579-4 7.955859+3 1.161449-4 6.638841+3 1.348963-4 5.505543+3 1.972423-4 3.515423+3 2.213095-4 3.043979+3 3.090295-4 1.968887+3 4.000000-4 1.409482+3 4.841724-4 1.092040+3 6.918310-4 6.662343+2 8.035261-4 5.380277+2 1.059254-3 3.581457+2 1.288250-3 2.663440+2 1.584893-3 1.931925+2 2.000000-3 1.336464+2 2.570396-3 8.910636+1 2.722701-3 8.108696+1 3.019952-3 6.769844+1 4.315191-3 3.721554+1 5.495409-3 2.464216+1 6.382635-3 1.898903+1 7.852356-3 1.312995+1 9.549926-3 9.199850+0 1.161449-2 6.399171+0 1.412538-2 4.417748+0 1.717908-2 3.026392+0 2.065380-2 2.104398+0 2.511886-2 1.419311+0 2.884032-2 1.068742+0 3.467369-2 7.262545-1 4.168694-2 4.897513-1 5.011872-2 3.277424-1 6.025596-2 2.175562-1 7.328245-2 1.396562-1 8.609938-2 9.633819-2 1.071519-1 5.772202-2 1.396368-1 3.077943-2 2.630268-1 6.716190-3 3.235937-1 4.106463-3 3.890451-1 2.670429-3 4.570882-1 1.845274-3 5.248075-1 1.353005-3 6.095369-1 9.743944-4 6.998420-1 7.248978-4 8.035261-1 5.432969-4 9.225714-1 4.104267-4 1.083927+0 2.986595-4 1.258925+0 2.234270-4 1.428894+0 1.761047-4 1.584893+0 1.457983-4 1.798871+0 1.166120-4 2.065380+0 9.212098-5 2.371374+0 7.334411-5 2.722701+0 5.883782-5 3.126079+0 4.754055-5 3.630781+0 3.802316-5 4.265795+0 3.012872-5 5.011872+0 2.405350-5 5.956621+0 1.904965-5 7.079458+0 1.519625-5 8.609938+0 1.185897-5 1.059254+1 9.197894-6 1.300000+1 7.207800-6 1.678804+1 5.360602-6 2.238721+1 3.880190-6 3.019952+1 2.795594-6 4.315191+1 1.908086-6 6.531306+1 1.235510-6 1.059254+2 7.501169-7 2.113489+2 3.712332-7 4.216965+2 1.849251-7 1.678804+3 4.622724-8 1.000000+5 7.74870-10 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 5.420000-6 5.420000-6 1.000000+5 5.420000-6 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 5.420000-6 0.0 1.000000+5 1.000000+5 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 8.625170-7 1.025500+0 1.215920-6 1.025800+0 1.554430-6 1.026100+0 1.950230-6 1.026600+0 2.749370-6 1.027100+0 3.740570-6 1.027500+0 4.685030-6 1.028100+0 6.378580-6 1.028750+0 8.625170-6 1.029500+0 1.180380-5 1.030100+0 1.484470-5 1.031000+0 2.031260-5 1.032000+0 2.779270-5 1.033200+0 3.893290-5 1.034000+0 4.779370-5 1.035300+0 6.487310-5 1.036640+0 8.625170-5 1.038200+0 1.163990-4 1.039700+0 1.512260-4 1.041500+0 2.012050-4 1.043800+0 2.792790-4 1.046400+0 3.885640-4 1.048300+0 4.837730-4 1.051200+0 6.562280-4 1.054080+0 8.625170-4 1.057700+0 1.175660-3 1.061100+0 1.529240-3 1.065100+0 2.024540-3 1.070400+0 2.824430-3 1.076200+0 3.903340-3 1.080600+0 4.874630-3 1.087100+0 6.567760-3 1.093710+0 8.625170-3 1.102600+0 1.195890-2 1.110700+0 1.559720-2 1.120600+0 2.086520-2 1.133300+0 2.901300-2 1.147500+0 4.005980-2 1.158200+0 4.978430-2 1.174100+0 6.653500-2 1.190110+0 8.625170-2 1.205100+0 1.073420-1 1.227500+0 1.436410-1 1.250000+0 1.857000-1 1.280300+0 2.506520-1 1.307700+0 3.169740-1 1.343000+0 4.119230-1 1.382200+0 5.280530-1 1.411700+0 6.215970-1 1.455800+0 7.690530-1 1.500000+0 9.236000-1 1.562500+0 1.148590+0 1.641100+0 1.435460+0 1.706900+0 1.674270+0 1.811600+0 2.046580+0 1.937200+0 2.479350+0 2.000000+0 2.692000+0 2.044000+0 2.840000+0 2.163500+0 3.230970+0 2.372600+0 3.874210+0 2.686300+0 4.751320+0 3.000000+0 5.546000+0 3.500000+0 6.693410+0 4.000000+0 7.733000+0 5.000000+0 9.557000+0 6.000000+0 1.111000+1 7.000000+0 1.250000+1 8.000000+0 1.375000+1 9.000000+0 1.490000+1 1.000000+1 1.596000+1 1.100000+1 1.695000+1 1.200000+1 1.787000+1 1.300000+1 1.872000+1 1.400000+1 1.953000+1 1.500000+1 2.028000+1 1.600000+1 2.098000+1 1.800000+1 2.226000+1 2.000000+1 2.340000+1 2.200000+1 2.444000+1 2.400000+1 2.539000+1 2.600000+1 2.626000+1 2.800000+1 2.705000+1 3.000000+1 2.778000+1 4.000000+1 3.076000+1 5.000000+1 3.298000+1 6.000000+1 3.470000+1 8.000000+1 3.723000+1 1.000000+2 3.902000+1 1.500000+2 4.183000+1 2.000000+2 4.350000+1 3.000000+2 4.545000+1 4.000000+2 4.656000+1 5.000000+2 4.729000+1 6.000000+2 4.782000+1 8.000000+2 4.851000+1 1.000000+3 4.896000+1 1.500000+3 4.960000+1 2.000000+3 4.996000+1 3.000000+3 5.033000+1 4.000000+3 5.056000+1 5.000000+3 5.069000+1 6.000000+3 5.078000+1 8.000000+3 5.090000+1 1.000000+4 5.098000+1 1.500000+4 5.107000+1 2.000000+4 5.113000+1 3.000000+4 5.118000+1 4.000000+4 5.122000+1 5.000000+4 5.125000+1 6.000000+4 5.126000+1 8.000000+4 5.127000+1 1.000000+5 5.128000+1 1 94000 7 8 2.390520+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 9.402690-7 2.090400+0 1.276650-6 2.094700+0 1.655370-6 2.099900+0 2.202240-6 2.106600+0 3.063500-6 2.114000+0 4.238740-6 2.119500+0 5.277200-6 2.127900+0 7.156880-6 2.136250+0 9.402690-6 2.147000+0 1.289180-5 2.156900+0 1.674480-5 2.169000+0 2.234700-5 2.184500+0 3.106310-5 2.201800+0 4.297670-5 2.214800+0 5.354570-5 2.234200+0 7.202840-5 2.253680+0 9.402690-5 2.281500+0 1.317010-4 2.307000+0 1.729890-4 2.338200+0 2.325980-4 2.377400+0 3.221200-4 2.410200+0 4.096820-4 2.446800+0 5.211380-4 2.485900+0 6.561420-4 2.532900+0 8.397240-4 2.556430+0 9.402690-4 2.611900+0 1.198960-3 2.660400+0 1.449500-3 2.745300+0 1.940090-3 2.809000+0 2.349580-3 2.904500+0 3.026840-3 3.000000+0 3.778000-3 3.125000+0 4.871070-3 3.234400+0 5.926200-3 3.425800+0 7.978030-3 3.569300+0 9.671720-3 3.784700+0 1.242820-2 4.000000+0 1.539000-2 4.250000+0 1.900950-2 4.625000+0 2.469480-2 5.000000+0 3.060000-2 5.500000+0 3.869570-2 6.000000+0 4.689000-2 6.750000+0 5.906820-2 7.000000+0 6.307000-2 8.000000+0 7.870000-2 9.000000+0 9.361000-2 1.000000+1 1.077000-1 1.100000+1 1.211000-1 1.200000+1 1.336000-1 1.300000+1 1.454000-1 1.400000+1 1.566000-1 1.500000+1 1.671000-1 1.600000+1 1.772000-1 1.800000+1 1.956000-1 2.000000+1 2.124000-1 2.200000+1 2.277000-1 2.400000+1 2.416000-1 2.600000+1 2.545000-1 2.800000+1 2.664000-1 3.000000+1 2.774000-1 4.000000+1 3.227000-1 5.000000+1 3.566000-1 6.000000+1 3.833000-1 8.000000+1 4.231000-1 1.000000+2 4.517000-1 1.500000+2 4.984000-1 2.000000+2 5.273000-1 3.000000+2 5.624000-1 4.000000+2 5.832000-1 5.000000+2 5.974000-1 6.000000+2 6.078000-1 8.000000+2 6.220000-1 1.000000+3 6.315000-1 1.500000+3 6.456000-1 2.000000+3 6.536000-1 3.000000+3 6.622000-1 4.000000+3 6.674000-1 5.000000+3 6.705000-1 6.000000+3 6.727000-1 8.000000+3 6.757000-1 1.000000+4 6.776000-1 1.500000+4 6.801000-1 2.000000+4 6.816000-1 3.000000+4 6.829000-1 4.000000+4 6.839000-1 5.000000+4 6.844000-1 6.000000+4 6.847000-1 8.000000+4 6.851000-1 1.000000+5 6.854000-1 1 94000 7 8 2.390520+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 94000 7 9 2.390520+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 9.400000+1 1.000000+5 9.400000+1 5.000000+5 9.396300+1 8.750000+5 9.391130+1 1.000000+6 9.389900+1 1.250000+6 9.385290+1 1.500000+6 9.380400+1 1.750000+6 9.372910+1 2.000000+6 9.365400+1 2.375000+6 9.351620+1 2.500000+6 9.346600+1 2.875000+6 9.330230+1 3.000000+6 9.324300+1 3.250000+6 9.310850+1 3.625000+6 9.291000+1 4.000000+6 9.270200+1 4.437500+6 9.243800+1 4.812500+6 9.219490+1 5.000000+6 9.207700+1 5.500000+6 9.172270+1 5.875000+6 9.144320+1 6.437500+6 9.100990+1 6.500000+6 9.095870+1 7.000000+6 9.056700+1 7.875000+6 8.986210+1 9.000000+6 8.892900+1 1.000000+7 8.806700+1 1.250000+7 8.590900+1 1.500000+7 8.365800+1 1.750000+7 8.135200+1 2.000000+7 7.901500+1 2.250000+7 7.665290+1 2.375000+7 7.547600+1 2.500000+7 7.432400+1 2.875000+7 7.097300+1 3.000000+7 6.990700+1 3.500000+7 6.588470+1 4.000000+7 6.226300+1 4.500000+7 5.898260+1 4.750000+7 5.744210+1 5.000000+7 5.597000+1 5.750000+7 5.184470+1 6.000000+7 5.057100+1 6.750000+7 4.700580+1 7.000000+7 4.590800+1 8.000000+7 4.192600+1 9.000000+7 3.852800+1 1.000000+8 3.557900+1 1.109400+8 3.271940+1 1.125000+8 3.233460+1 1.203100+8 3.048590+1 1.250000+8 2.942700+1 1.359400+8 2.708280+1 1.437500+8 2.552110+1 1.453100+8 2.521810+1 1.500000+8 2.433400+1 1.625000+8 2.213610+1 1.875000+8 1.856360+1 2.000000+8 1.717200+1 2.171900+8 1.563290+1 2.289100+8 1.479160+1 2.429700+8 1.397020+1 2.500000+8 1.362600+1 2.812500+8 1.240060+1 2.875000+8 1.216700+1 2.937500+8 1.192680+1 3.000000+8 1.167700+1 3.125000+8 1.115190+1 3.375000+8 1.015010+1 3.406300+8 1.003800+1 3.500000+8 9.728100+0 3.812500+8 8.883500+0 3.937500+8 8.549950+0 4.000000+8 8.373100+0 4.125000+8 7.996080+0 4.750000+8 6.192060+0 5.000000+8 5.663000+0 5.125000+8 5.449950+0 5.343800+8 5.139810+0 5.630900+8 4.818160+0 6.000000+8 4.485600+0 6.750000+8 3.949860+0 7.000000+8 3.805600+0 7.625000+8 3.489190+0 7.875000+8 3.361030+0 8.000000+8 3.294300+0 8.250000+8 3.154130+0 8.468800+8 3.028620+0 8.851600+8 2.812450+0 9.500000+8 2.482270+0 9.712900+8 2.387420+0 1.000000+9 2.271600+0 1.045900+9 2.114040+0 1.088000+9 1.994060+0 1.139500+9 1.871630+0 1.205600+9 1.744710+0 1.250000+9 1.674160+0 1.279200+9 1.632780+0 1.334400+9 1.563930+0 1.417200+9 1.478690+0 1.500000+9 1.409400+0 1.625000+9 1.325310+0 1.859400+9 1.198770+0 2.000000+9 1.129100+0 2.139200+9 1.060470+0 2.272600+9 9.961020-1 2.440400+9 9.184370-1 2.600300+9 8.487430-1 2.750000+9 7.878380-1 2.750300+9 7.877190-1 2.959000+9 7.098600-1 3.086500+9 6.662610-1 3.325700+9 5.920810-1 3.535000+9 5.348270-1 3.718100+9 4.899650-1 4.038600+9 4.217620-1 4.278900+9 3.780790-1 4.639500+9 3.225070-1 5.000000+9 2.768100-1 5.375000+9 2.376050-1 5.703100+9 2.089630-1 6.277300+9 1.687420-1 7.031000+9 1.299900-1 8.000000+9 9.573000-2 9.000000+9 7.195340-2 1.00000+10 5.557300-2 1.27030+10 3.077130-2 1.55700+10 1.854840-2 2.15420+10 8.225460-3 1.00000+11 1.691200-4 1.68570+11 4.540960-5 3.34410+11 8.187830-6 8.62510+11 7.808140-7 2.83020+12 4.200030-8 1.00000+14 7.04070-12 3.16230+15 1.49168-15 1.00000+17 3.03140-19 1 94000 7 0 2.390520+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.31000-11 1.000000+2 1.310000-9 1.000000+3 1.310000-7 1.000000+4 1.310000-5 1.000000+5 1.310000-3 5.000000+5 3.275000-2 8.750000+5 1.002969-1 1.000000+6 1.310000-1 1.250000+6 2.033920-1 1.500000+6 2.903000-1 1.750000+6 3.905550-1 2.000000+6 5.033000-1 2.375000+6 6.934590-1 2.500000+6 7.620000-1 2.875000+6 9.804540-1 3.000000+6 1.057200+0 3.250000+6 1.215410+0 3.625000+6 1.462910+0 4.000000+6 1.719400+0 4.437500+6 2.025560+0 4.812500+6 2.290960+0 5.000000+6 2.424000+0 5.500000+6 2.776820+0 5.875000+6 3.039410+0 6.437500+6 3.428240+0 6.500000+6 3.471030+0 7.000000+6 3.810600+0 7.875000+6 4.391070+0 9.000000+6 5.124300+0 1.000000+7 5.774000+0 1.250000+7 7.422200+0 1.500000+7 9.089000+0 1.750000+7 1.072000+1 2.000000+7 1.228800+1 2.250000+7 1.379560+1 2.375000+7 1.453030+1 2.500000+7 1.525400+1 2.875000+7 1.736020+1 3.000000+7 1.803900+1 3.500000+7 2.062030+1 4.000000+7 2.300700+1 4.500000+7 2.521700+1 4.750000+7 2.627650+1 5.000000+7 2.731500+1 5.750000+7 3.032490+1 6.000000+7 3.130100+1 6.750000+7 3.413830+1 7.000000+7 3.505900+1 8.000000+7 3.858000+1 9.000000+7 4.184000+1 1.000000+8 4.481200+1 1.109400+8 4.770350+1 1.125000+8 4.808570+1 1.203100+8 4.990330+1 1.250000+8 5.092400+1 1.359400+8 5.309620+1 1.437500+8 5.451740+1 1.453100+8 5.478850+1 1.500000+8 5.559300+1 1.625000+8 5.761410+1 1.875000+8 6.127900+1 2.000000+8 6.295600+1 2.171900+8 6.512740+1 2.289100+8 6.652020+1 2.429700+8 6.809790+1 2.500000+8 6.884900+1 2.812500+8 7.188590+1 2.875000+8 7.244120+1 2.937500+8 7.297130+1 3.000000+8 7.349400+1 3.125000+8 7.447410+1 3.375000+8 7.623830+1 3.406300+8 7.643980+1 3.500000+8 7.703500+1 3.812500+8 7.878770+1 3.937500+8 7.941340+1 4.000000+8 7.971400+1 4.125000+8 8.027910+1 4.750000+8 8.264480+1 5.000000+8 8.342600+1 5.125000+8 8.378460+1 5.343800+8 8.438000+1 5.630900+8 8.510430+1 6.000000+8 8.593700+1 6.750000+8 8.737380+1 7.000000+8 8.779200+1 7.625000+8 8.870370+1 7.875000+8 8.902550+1 8.000000+8 8.918300+1 8.250000+8 8.946200+1 8.468800+8 8.970000+1 8.851600+8 9.007090+1 9.500000+8 9.060280+1 9.712900+8 9.075180+1 1.000000+9 9.094800+1 1.045900+9 9.121330+1 1.088000+9 9.143040+1 1.139500+9 9.165780+1 1.205600+9 9.191200+1 1.250000+9 9.205100+1 1.279200+9 9.213680+1 1.334400+9 9.229390+1 1.417200+9 9.248050+1 1.500000+9 9.265500+1 1.625000+9 9.286480+1 1.859400+9 9.318060+1 2.000000+9 9.333700+1 2.139200+9 9.345250+1 2.272600+9 9.354160+1 2.440400+9 9.363630+1 2.600300+9 9.371180+1 2.750000+9 9.376530+1 2.750300+9 9.376540+1 2.959000+9 9.382250+1 3.086500+9 9.384890+1 3.325700+9 9.389560+1 3.535000+9 9.391970+1 3.718100+9 9.393490+1 4.038600+9 9.395970+1 4.278900+9 9.397310+1 4.639500+9 9.398190+1 5.000000+9 9.399000+1 5.375000+9 9.399150+1 5.703100+9 9.399280+1 6.277300+9 9.399480+1 7.031000+9 9.399730+1 8.000000+9 9.400000+1 9.000000+9 9.400000+1 1.00000+10 9.400000+1 1.27030+10 9.400000+1 1.55700+10 9.400000+1 2.15420+10 9.400000+1 1.00000+11 9.400000+1 1.68570+11 9.400000+1 3.34410+11 9.400000+1 8.62510+11 9.400000+1 2.83020+12 9.400000+1 1.00000+14 9.400000+1 3.16230+15 9.400000+1 1.00000+17 9.400000+1 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.157304-6 0.0 1.160153-6 9.238934-7 1.163002-6 1.828130-6 1.165850-6 3.339229-6 1.168699-6 5.630399-6 1.171547-6 8.763670-6 1.174396-6 1.259177-5 1.177244-6 1.670096-5 1.180093-6 2.044795-5 1.182941-6 2.311065-5 1.185790-6 2.411174-5 1.188639-6 2.322195-5 1.191487-6 2.064538-5 1.194336-6 1.694342-5 1.200033-6 8.976754-6 1.202881-6 5.795080-6 1.205730-6 3.453453-6 1.208578-6 1.899773-6 1.211427-6 9.647257-7 1.214276-6 0.0 1.835462-6 0.0 1.839980-6 3.102047-7 1.844498-6 6.138096-7 1.849016-6 1.121173-6 1.853533-6 1.890452-6 1.858051-6 2.942474-6 1.862569-6 4.227789-6 1.867087-6 5.607482-6 1.871604-6 6.865566-6 1.876122-6 7.759589-6 1.880640-6 8.095712-6 1.885158-6 7.796960-6 1.889676-6 6.931855-6 1.894193-6 5.688892-6 1.903229-6 3.014018-6 1.907747-6 1.945745-6 1.912264-6 1.159525-6 1.916782-6 6.378642-7 1.921300-6 3.239145-7 1.925818-6 0.0 2.338208-6 0.0 2.346841-6 1.861948-6 2.349718-6 2.474725-6 2.355474-6 4.520287-6 2.361229-6 7.621825-6 2.366984-6 1.186331-5 2.376975-6 2.112822-5 2.378633-6 2.272979-5 2.387415-6 3.151933+0 2.390342-6 4.189242+0 2.396197-6 7.651968+0 2.402052-6 1.290225+1 2.408586-6 2.113047+1 2.425837-6 4.723756+1 2.431863-6 5.316885+1 2.437582-6 5.511313+1 2.443982-6 5.226002+1 2.450092-6 4.557103+1 2.459878-6 3.057485+1 2.466454-6 2.057048+1 2.472308-6 1.327959+1 2.478163-6 7.913683+0 2.484018-6 4.353382+0 2.492434-6 1.244795+0 2.495727-6 0.0 2.524054-6 0.0 2.533373-6 1.64362-15 2.536479-6 2.18455-15 2.542692-6 3.99026-15 2.548904-6 6.72812-15 2.555117-6 1.04723-14 2.566377-6 1.90346-14 2.573755-6 2.44346-14 2.579967-6 2.76164-14 2.586180-6 2.88127-14 2.592393-6 2.77494-14 2.598605-6 2.46705-14 2.604818-6 2.02468-14 2.617243-6 1.07269-14 2.623456-6 6.92491-15 2.629668-6 4.12675-15 2.635881-6 2.27016-15 2.642094-6 1.15281-15 2.648306-6 0.0 2.769893-6 0.0 2.781824-6 7.352803+0 2.783528-6 8.392486+0 2.790346-6 1.532956+1 2.797164-6 2.584775+1 2.804834-6 4.242390+1 2.816778-6 7.434381+1 2.824861-6 9.463369+1 2.831975-6 1.065813+2 2.838523-6 1.104200+2 2.845610-6 1.053552+2 2.852931-6 9.173007+1 2.863663-6 6.357599+1 2.872159-6 4.121002+1 2.878976-6 2.660376+1 2.885794-6 1.585393+1 2.892612-6 8.721379+0 2.902839-6 2.217010+0 2.906247-6 0.0 3.026799-6 0.0 3.039837-6 6.977219-1 3.041699-6 7.963794-1 3.049149-6 1.454652+0 3.056600-6 2.452743+0 3.064720-6 3.970503+0 3.087331-6 9.052333+0 3.094316-6 1.009478+1 3.101766-6 1.047951+1 3.109681-6 9.976064+0 3.117628-6 8.674036+0 3.138550-6 3.910500+0 3.146000-6 2.524482+0 3.153451-6 1.504411+0 3.160901-6 8.275888-1 3.174360-6 8.145467-2 3.175801-6 3.36050-20 3.180468-6 2.65438-20 3.188017-6 1.71358-20 3.195567-6 1.02117-20 3.203117-6 5.61753-21 3.210666-6 2.85265-21 3.218216-6 0.0 3.427028-6 0.0 3.435463-6 7.22193-15 3.443898-6 1.42902-14 3.452334-6 2.61022-14 3.458474-6 3.91310-14 3.475499-6 6.809483-8 3.484012-6 1.243807-7 3.492524-6 2.097229-7 3.501037-6 3.264320-7 3.519815-6 6.507690-7 3.528250-6 7.811367-7 3.535087-6 8.608325-7 3.543600-6 8.981212-7 3.552113-6 8.649783-7 3.561991-6 7.469234-7 3.586163-6 3.343688-7 3.594676-6 2.158569-7 3.603188-6 1.286352-7 3.611701-6 7.076330-8 3.620213-6 3.593439-8 3.628726-6 0.0 3.681358-6 0.0 3.697330-6 5.703840-1 3.699622-6 6.547257-1 3.708942-6 1.216375+0 3.718091-6 2.050326+0 3.727624-6 3.241842+0 3.744576-6 5.871334+0 3.754268-6 7.273638+0 3.763741-6 8.203978+0 3.772802-6 8.496706+0 3.781598-6 8.154098+0 3.791225-6 7.136600+0 3.805666-6 4.947798+0 3.817276-6 3.174035+0 3.826337-6 2.049047+0 3.835398-6 1.221085+0 3.844460-6 6.717289-1 3.858051-6 1.707562-1 3.862582-6 0.0 3.976904-6 0.0 3.991587-6 9.487476-2 3.996481-6 1.260985-1 4.006269-6 2.303293-1 4.016058-6 3.883668-1 4.025847-6 6.044897-1 4.056595-6 1.434463+0 4.066274-6 1.603069+0 4.076014-6 1.655518+0 4.085311-6 1.587595+0 4.097999-6 1.341339+0 4.118514-6 1.582956+0 4.128471-6 1.987903+0 4.138567-6 2.787453+0 4.149236-6 4.094246+0 4.179508-6 8.836632+0 4.189232-6 9.886010+0 4.199466-6 1.026830+1 4.209256-6 9.884106+0 4.219657-6 8.750449+0 4.248970-6 4.172211+0 4.259056-6 2.916547+0 4.269141-6 2.005123+0 4.279227-6 1.399490+0 4.289313-6 1.015752+0 4.299399-6 5.745379-1 4.307704-6 5.218942-1 4.318102-6 4.272419-1 4.328500-6 3.225012-1 4.338898-6 2.244947-1 4.349296-6 1.441262-1 4.359170-6 8.734058-2 4.369469-6 4.804692-2 4.380491-6 2.268963-2 4.390066-6 2.436513-7 4.390889-6 2.334884-7 4.401287-6 1.391424-7 4.411685-6 7.654336-8 4.422083-6 3.886957-8 4.432481-6 0.0 4.543459-6 0.0 4.554642-6 1.420934-2 4.565825-6 2.811637-2 4.577008-6 5.135737-2 4.588191-6 8.659637-2 4.596513-6 1.224342-1 4.599374-6 1.658648-1 4.619140-6 4.857125-1 4.631192-6 7.703345-1 4.642480-6 1.125881+0 4.660532-6 1.869177+0 4.677656-6 2.628446+0 4.690237-6 3.073586+0 4.700023-6 3.296400+0 4.712854-6 3.305153+0 4.724338-6 3.071286+0 4.737257-6 2.574169+0 4.762237-6 1.400577+0 4.767121-6 1.184154+0 4.778272-6 7.931729-1 4.789224-6 5.266844-1 4.800512-6 3.716410-1 4.814770-6 3.016185-1 4.822787-6 2.736186-1 4.839219-6 4.101794-1 4.851130-6 5.577832-1 4.887336-6 9.500481-1 4.934508-6 1.558207+0 4.946419-6 1.643575+0 4.959166-6 1.630949+0 4.971373-6 1.515062+0 4.989178-6 1.218580+0 5.005974-6 9.054765-1 5.017886-6 7.286177-1 5.024688-6 6.615796-1 5.029797-6 6.243962-1 5.041708-6 5.984820-1 5.053619-6 6.395588-1 5.074351-6 7.914978-1 5.077441-6 8.044515-1 5.086779-6 8.849977-1 5.099208-6 9.449208-1 5.111637-6 9.542526-1 5.159405-6 8.304739-1 5.299540-6 7.999984-1 5.341724-6 8.222637-1 5.377015-6 9.019008-1 5.391661-6 9.521978-1 5.420697-6 9.799341-1 5.443006-6 9.495624-1 5.496532-6 7.799674-1 5.523668-6 7.320014-1 5.547449-6 7.156097-1 5.590880-6 7.321407-1 5.645256-6 7.756982-1 5.686038-6 7.589089-1 5.742242-6 7.080235-1 5.817713-6 7.065318-1 5.874851-6 6.893442-1 5.918081-6 7.196459-1 5.950174-6 7.887998-1 5.992975-6 9.237813-1 6.008876-6 9.550244-1 6.022165-6 9.627624-1 6.036950-6 9.478795-1 6.067683-6 8.529109-1 6.109453-6 6.997561-1 6.136235-6 6.331254-1 6.163898-6 5.898367-1 6.223474-6 5.747419-1 6.322841-6 5.929034-1 6.448230-6 5.853075-1 6.495611-6 6.106442-1 6.558786-6 6.716431-1 6.590374-6 6.692388-1 6.685228-6 5.595902-1 6.732722-6 5.455128-1 6.836590-6 5.800029-1 6.938278-6 5.470732-1 7.243080-6 5.096295-1 7.375954-6 4.818510-1 7.555520-6 4.876458-1 8.420000-6 4.341111-1 9.332543-6 4.101078-1 1.039665-5 4.140948-1 1.159580-5 4.510213-1 1.296986-5 5.290363-1 1.444572-5 6.529359-1 1.605254-5 8.316005-1 1.815925-5 1.138238+0 1.938604-5 1.355200+0 1.948147-5 3.494681+0 1.952919-5 5.257287+0 1.957690-5 7.925176+0 1.962462-5 1.157104+1 1.969619-5 1.840969+1 1.976777-5 2.515995+1 1.981548-5 2.825976+1 1.986959-5 2.929455+1 1.988876-5 2.888390+1 1.991092-5 3.235070+1 1.997616-5 3.928033+1 1.998667-5 4.017322+1 2.003562-5 4.975522+1 2.008764-5 6.828392+1 2.013751-5 9.494807+1 2.028345-5 1.975041+2 2.033727-5 2.215059+2 2.038463-5 2.281400+2 2.043175-5 2.186044+2 2.048500-5 1.902473+2 2.061591-5 9.170417+1 2.067202-5 5.633662+1 2.072098-5 3.423704+1 2.077058-5 1.945974+1 2.084422-5 6.055384+0 2.086784-5 1.660267+0 2.097756-5 1.683662+0 2.108083-5 2.062077+0 2.113267-5 2.369510+0 2.118410-5 2.825352+0 2.123573-5 3.447194+0 2.139063-5 5.758075+0 2.144227-5 6.288186+0 2.149390-5 6.494385+0 2.154553-5 6.331968+0 2.161683-5 5.601247+0 2.172324-5 5.319951+0 2.177645-5 5.682309+0 2.182966-5 6.737795+0 2.188818-5 8.797800+0 2.204249-5 1.627134+1 2.210234-5 1.832024+1 2.214890-5 1.910755+1 2.220634-5 1.881749+1 2.228539-5 1.659584+1 2.239424-5 1.274864+1 2.243637-5 1.170129+1 2.248120-5 1.094453+1 2.254599-5 1.063947+1 2.277291-5 1.164701+1 2.292337-5 1.148848+1 2.330511-5 1.057880+1 2.492107-5 9.219750+0 2.676442-5 8.419943+0 2.942118-5 8.034167+0 2.969919-5 8.025885+0 2.984539-5 1.740750+1 2.992306-5 2.589602+1 2.999616-5 3.792476+1 3.007328-5 5.537923+1 3.028857-5 1.138278+2 3.036893-5 1.274738+2 3.044048-5 1.311418+2 3.051001-5 1.260055+2 3.058674-5 1.112123+2 3.079672-5 5.387859+1 3.087106-5 3.740730+1 3.094191-5 2.576092+1 3.101501-5 1.778875+1 3.116121-5 8.042691+0 3.156038-5 8.289576+0 3.189260-5 9.087120+0 3.221504-5 1.065299+1 3.237510-5 1.212324+1 3.259205-5 1.434836+1 3.269313-5 1.485078+1 3.279864-5 1.475337+1 3.309188-5 1.344145+1 3.334693-5 1.318826+1 3.400000-5 1.335725+1 3.483079-5 1.271144+1 3.852298-5 1.228115+1 4.628850-5 1.268687+1 4.988589-5 1.318706+1 5.073910-5 1.382789+1 5.163278-5 1.342887+1 5.418138-5 1.372711+1 6.390300-5 1.399762+1 7.548071-5 1.315639+1 9.062327-5 1.082425+1 9.995572-5 9.072750+0 1.004478-4 9.964380+0 1.006938-4 1.073192+1 1.010265-4 1.249728+1 1.011132-4 1.307583+1 1.016110-4 3.667211+1 1.018599-4 5.485422+1 1.021087-4 8.087313+1 1.023920-4 1.207291+2 1.030157-4 2.217789+2 1.032552-4 2.522090+2 1.033991-4 2.636254+2 1.036701-4 2.675082+2 1.039156-4 2.519125+2 1.041797-4 2.175222+2 1.048464-4 1.041081+2 1.050953-4 7.007650+1 1.053443-4 4.509959+1 1.055930-4 2.859244+1 1.060908-4 8.588008+0 1.072098-4 9.226937+0 1.090821-4 9.001382+0 1.095242-4 9.100575+0 1.100699-4 2.335569+1 1.103550-4 3.601218+1 1.106214-4 5.370449+1 1.109295-4 8.197371+1 1.117185-4 1.669112+2 1.120242-4 1.863766+2 1.122587-4 1.912138+2 1.125143-4 1.837632+2 1.128001-4 1.617639+2 1.135679-4 7.829315+1 1.138375-4 5.435800+1 1.141071-4 3.678658+1 1.143766-4 2.517614+1 1.149158-4 1.115686+1 1.166278-4 1.254344+1 1.191950-4 1.275902+1 1.243152-4 1.384591+1 1.279162-4 1.396333+1 1.321250-4 1.341665+1 1.497245-4 8.907123+0 1.597539-4 6.886322+0 1.683643-4 5.530723+0 1.767721-4 4.497769+0 1.854000-4 3.694547+0 1.959899-4 2.978003+0 2.049306-4 2.550130+0 2.094857-4 2.419293+0 2.110530-4 2.455062+0 2.120924-4 2.563212+0 2.152310-4 3.217022+0 2.163640-4 3.314409+0 2.332228-4 2.919608+0 2.520000-4 2.705198+0 2.713123-4 2.671551+0 2.735454-4 2.796527+0 2.749288-4 2.991754+0 2.776348-4 3.541451+0 2.789516-4 3.664714+0 2.805414-4 3.608223+0 2.837473-4 3.375058+0 2.878635-4 3.310313+0 3.388515-4 3.540061+0 3.467547-4 3.844735+0 4.194155-4 4.271622+0 4.236127-4 4.500497+0 4.287691-4 5.204320+0 4.308645-4 5.314523+0 4.359303-4 5.195397+0 4.425247-4 5.719414+0 4.446191-4 5.700840+0 4.513000-4 5.391204+0 4.607000-4 5.545748+0 4.698500-4 5.997132+0 4.781838-4 6.806685+0 4.864977-4 8.118601+0 4.942435-4 9.837230+0 5.033182-4 1.240494+1 5.205000-4 1.840288+1 5.448752-4 2.694901+1 5.663168-4 3.259820+1 5.905765-4 3.675434+1 6.237348-4 3.969685+1 6.780569-4 4.121992+1 7.688730-4 4.021877+1 7.747431-4 4.166455+1 7.788091-4 4.428029+1 7.860714-4 5.016463+1 7.898996-4 5.044898+1 8.012167-4 4.418449+1 8.066051-4 4.314344+1 8.199651-4 4.355765+1 8.261090-4 4.538141+1 8.336755-4 4.859190+1 8.398149-4 4.823599+1 8.502293-4 4.503794+1 1.086719-3 3.863558+1 1.111032-3 4.016125+1 1.356276-3 3.366803+1 1.534720-3 3.040576+1 1.933081-3 2.389465+1 2.288036-3 1.966219+1 2.672636-3 1.629357+1 3.169400-3 1.315327+1 3.679497-3 1.085868+1 3.697744-3 1.158059+1 3.706575-3 1.221881+1 3.716024-3 1.332862+1 3.724862-3 1.482051+1 3.742890-3 1.912661+1 3.760914-3 2.392613+1 3.769970-3 2.579802+1 3.783607-3 2.730017+1 3.801614-3 2.727537+1 3.844226-3 2.475154+1 3.861082-3 2.415182+1 3.895407-3 2.449612+1 3.913685-3 2.551271+1 3.934519-3 2.801977+1 3.971390-3 3.347213+1 3.990769-3 3.440133+1 4.066134-3 3.168113+1 4.470156-3 2.756396+1 4.521458-3 2.844358+1 4.576034-3 3.018405+1 4.657602-3 3.000246+1 5.435001-3 2.378974+1 5.647744-3 2.381697+1 5.855863-3 2.278052+1 6.031509-3 2.255954+1 6.898426-3 1.857785+1 7.968650-3 1.502211+1 9.120108-3 1.225430+1 1.063162-2 9.702062+0 1.211307-2 7.937407+0 1.371968-2 6.532525+0 1.570839-2 5.281544+0 1.765006-2 4.408173+0 1.777678-2 4.525104+0 1.786159-2 4.875217+0 1.792537-2 5.390246+0 1.803247-2 6.733459+0 1.815998-2 8.447348+0 1.825034-2 9.219021+0 1.836118-2 9.586554+0 1.887286-2 9.314083+0 2.158370-2 7.422007+0 2.200472-2 7.269822+0 2.217890-2 7.593103+0 2.250235-2 9.177249+0 2.269949-2 9.600949+0 2.304845-2 9.967444+0 2.334140-2 1.051064+1 2.390782-2 1.031565+1 2.791576-2 8.143495+0 3.173375-2 6.669544+0 3.608621-2 5.436980+0 4.130303-2 4.373359+0 4.607421-2 3.661089+0 5.211150-2 2.990787+0 5.923970-2 2.418358+0 6.683864-2 1.977885+0 7.590553-2 1.597063+0 8.617908-2 1.289870+0 9.716468-2 1.052687+0 1.096951-1 8.571900-1 1.195661-1 7.476693-1 1.202264-1 7.755568-1 1.206241-1 8.318243-1 1.209666-1 9.238150-1 1.212994-1 1.064271+0 1.216877-1 1.297876+0 1.224495-1 1.905168+0 1.230303-1 2.350267+0 1.235503-1 2.631672+0 1.240972-1 2.788736+0 1.252500-1 2.852172+0 1.467343-1 2.246734+0 1.647776-1 1.874571+0 1.874587-1 1.535829+0 2.118961-1 1.270996+0 2.406594-1 1.044547+0 2.722702-1 8.661597-1 3.078276-1 7.209757-1 3.490568-1 5.998916-1 3.986805-1 4.966533-1 4.579009-1 4.112593-1 5.281697-1 3.414227-1 6.019340-1 2.900610-1 6.886570-1 2.474965-1 7.966672-1 2.101477-1 9.288457-1 1.785217-1 1.173413+0 1.383858-1 1.359923+0 1.169046-1 1.619761+0 9.563105-2 1.859734+0 8.162372-2 2.135261+0 6.966808-2 2.451607+0 5.946361-2 2.814822+0 5.075382-2 3.231848+0 4.331978-2 3.710658+0 3.697462-2 4.268021+0 3.149729-2 4.891600+0 2.693634-2 5.616308+0 2.299090-2 6.448384+0 1.962337-2 7.403736+0 1.674908-2 8.500626+0 1.429580-2 9.760024+0 1.220186-2 1.000000+1 2.551565-2 1 94000 7 0 2.390520+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-9.359756+1 2.039556-6-9.043246+1 2.276149-6-8.581366+1 2.346841-6-8.035016+1 2.372739-6-7.460651+1 2.404064-6-5.788429+1 2.410976-6-5.660300+1 2.417340-6-5.909227+1 2.424412-6-6.600615+1 2.431863-6-7.891483+1 2.437582-6-9.058274+1 2.443655-6-8.529191+1 2.451691-6-7.257680+1 2.457717-6-6.700829+1 2.465836-6-6.507458+1 2.476882-6-6.935652+1 2.503328-6-8.373195+1 2.536479-6-9.050103+1 2.575308-6-9.372085+1 2.697340-6-8.300232+1 2.738818-6-7.520541+1 2.757690-6-6.834349+1 2.768445-6-6.127352+1 2.774613-6-5.491950+1 2.783528-6-4.720498+1 2.791198-6-3.929721+1 2.799507-6-3.229190+1 2.804834-6-2.997154+1 2.809121-6-3.039559+1 2.813143-6-3.259486+1 2.816778-6-3.672294+1 2.822277-6-4.665063+1 2.828855-6-6.429135+1 2.837725-6-9.363199+1 2.847039-6-6.077012+1 2.853630-6-4.257538+1 2.858523-6-3.316379+1 2.861985-6-2.842536+1 2.865341-6-2.574661+1 2.868324-6-2.454882+1 2.871200-6-2.433316+1 2.877272-6-2.683566+1 2.885794-6-3.435158+1 2.897193-6-4.549649+1 2.905821-6-5.306405+1 2.910434-6-5.779317+1 2.924261-6-6.523131+1 2.949906-6-7.265197+1 2.978291-6-7.748347+1 3.070444-6-8.859151+1 3.093850-6-8.556939+1 3.124810-6-7.856974+1 3.151588-6-7.932740+1 3.210666-6-8.406100+1 3.511380-6-8.923725+1 3.690419-6-9.299664+1 3.726664-6-9.345086+1 3.754268-6-9.335453+1 3.804000-6-8.539774+1 4.006269-6-9.149549+1 4.120213-6-9.355736+1 4.179508-6-9.352239+1 4.231711-6-8.447407+1 4.279227-6-8.541358+1 4.432481-6-8.926141+1 4.683248-6-9.157222+1 4.767121-6-8.872121+1 4.934508-6-9.057621+1 1.358548-5-9.462791+1 1.686196-5-8.988573+1 1.815925-5-8.363309+1 1.882598-5-7.584676+1 1.916496-5-6.786709+1 1.935543-5-5.978215+1 1.952919-5-4.689141+1 1.964848-5-3.718109+1 1.972005-5-3.340413+1 1.982741-5-3.054569+1 1.986959-5-2.781579+1 1.988637-5-2.516424+1 1.989638-5-2.262453+1 1.991092-5-2.057244+1 1.996604-5-1.372231+1 1.998141-5-1.094858+1 1.999279-5-8.014498+0 2.001421-5-3.489410+0 2.002492-5-1.106455+0 2.003027-5 2.370911-1 2.003562-5 1.924832+0 2.004174-5 3.813302+0 2.005245-5 6.334589+0 2.007655-5 1.147304+1 2.008056-5 1.246128+1 2.008764-5 1.472630+1 2.009337-5 1.604856+1 2.010341-5 1.779957+1 2.013751-5 2.271658+1 2.015150-5 2.343897+1 2.016293-5 2.307494+1 2.017150-5 2.238131+1 2.018436-5 2.075154+1 2.019721-5 1.854310+1 2.020761-5 1.624878+1 2.021671-5 1.374426+1 2.022467-5 1.121118+1 2.023163-5 8.730412+0 2.024382-5 3.765619+0 2.025297-5-5.255063-1 2.025982-5-4.106999+0 2.026497-5-7.029414+0 2.027268-5-1.188753+1 2.027846-5-1.610449+1 2.028345-5-2.044987+1 2.031644-5-4.581767+1 2.032874-5-5.731706+1 2.034240-5-7.092858+1 2.037152-5-9.800474+1 2.038979-5-7.784467+1 2.042572-5-4.389258+1 2.043175-5-3.710561+1 2.044249-5-2.742241+1 2.045068-5-2.072373+1 2.047302-5-3.466122+0 2.047621-5-6.974255-1 2.047927-5 1.923089+0 2.048500-5 6.096030+0 2.049002-5 9.406277+0 2.049881-5 1.468926+1 2.051528-5 2.333545+1 2.053083-5 3.057140+1 2.055077-5 3.763704+1 2.057317-5 4.310008+1 2.059187-5 4.574779+1 2.060990-5 4.635794+1 2.065799-5 4.122505+1 2.067202-5 3.782876+1 2.071562-5 2.654075+1 2.072098-5 2.461090+1 2.077058-5 9.922118+0 2.077684-5 7.819353+0 2.078778-5 4.805670+0 2.080419-5 7.411881-1 2.082060-5-3.122817+0 2.084422-5-8.881311+0 2.085603-5-1.212226+1 2.086488-5-1.499399+1 2.087049-5-1.742504+1 2.088415-5-2.159199+1 2.091023-5-2.753333+1 2.095863-5-3.581841+1 2.102920-5-4.479810+1 2.113267-5-5.436217+1 2.128888-5-6.422659+1 2.144227-5-6.942714+1 2.161683-5-7.343969+1 2.193360-5-8.504781+1 2.206909-5-8.390963+1 2.228539-5-7.585637+1 2.239424-5-7.568725+1 2.266667-5-8.032438+1 2.777721-5-9.357822+1 2.831232-5-9.541710+1 2.905298-5-8.778293+1 2.942118-5-7.952195+1 2.960000-5-7.187838+1 2.969541-5-6.439335+1 2.977229-5-5.676209+1 2.984539-5-5.002475+1 2.994020-5-3.995044+1 3.001972-5-3.315034+1 3.007328-5-3.055543+1 3.010345-5-3.057116+1 3.014542-5-3.266525+1 3.018610-5-3.669021+1 3.023984-5-4.523802+1 3.027427-5-5.277977+1 3.035168-5-7.599332+1 3.040727-5-9.589549+1 3.045821-5-7.615554+1 3.052557-5-5.213781+1 3.058674-5-3.392924+1 3.062051-5-2.635834+1 3.065050-5-2.122182+1 3.066977-5-1.851216+1 3.070251-5-1.481557+1 3.072606-5-1.292744+1 3.074373-5-1.193139+1 3.075698-5-1.143116+1 3.077685-5-1.112831+1 3.078679-5-1.122931+1 3.085248-5-1.424688+1 3.087106-5-1.584195+1 3.093416-5-2.156925+1 3.104219-5-3.318421+1 3.114443-5-4.223649+1 3.119258-5-4.786536+1 3.130300-5-5.509503+1 3.152187-5-6.346988+1 3.189260-5-7.153830+1 3.242686-5-7.773108+1 3.309188-5-7.646889+1 3.511565-5-7.914479+1 4.373087-5-8.131629+1 5.418138-5-8.070790+1 7.548071-5-7.964696+1 8.239453-5-8.145186+1 9.062327-5-7.289028+1 9.434829-5-6.529308+1 9.646613-5-5.783076+1 9.797676-5-4.919616+1 9.879569-5-4.215176+1 9.945614-5-3.418482+1 9.988546-5-2.705822+1 1.002017-4-2.021468+1 1.003248-4-1.722656+1 1.004478-4-1.389158+1 1.006323-4-8.212773+0 1.006938-4-6.069053+0 1.008168-4-1.398076+0 1.008783-4 1.180740+0 1.009398-4 4.031793+0 1.010265-4 8.593682+0 1.010699-4 1.125417+1 1.011024-4 1.364030+1 1.011314-4 1.633785+1 1.011859-4 2.006001+1 1.013320-4 2.808801+1 1.015761-4 4.074741+1 1.018910-4 5.992620+1 1.021943-4 7.352040+1 1.023920-4 7.696892+1 1.025130-4 7.521323+1 1.026056-4 7.164763+1 1.027379-4 6.353021+1 1.028762-4 5.075182+1 1.030503-4 2.791117+1 1.031152-4 1.794763+1 1.031346-4 1.460899+1 1.031790-4 6.034756+0 1.032225-4-1.937755+0 1.032552-4-8.031727+0 1.032980-4-1.646904+1 1.033428-4-2.642814+1 1.033663-4-3.287921+1 1.034288-4-4.671912+1 1.035928-4-8.065291+1 1.036701-4-6.115498+1 1.038922-4-1.460518+1 1.039002-4-1.255666+1 1.039156-4-9.149792+0 1.039446-4-3.391183+0 1.039699-4 1.278047+0 1.040143-4 8.930747+0 1.041797-4 3.588490+1 1.042604-4 4.621662+1 1.043314-4 5.357617+1 1.044521-4 6.332479+1 1.045445-4 6.871296+1 1.046766-4 7.340760+1 1.048145-4 7.397260+1 1.050642-4 6.530279+1 1.053170-4 5.006956+1 1.056209-4 2.856936+1 1.060388-4 3.798740+0 1.060648-4 1.891646+0 1.060778-4 8.217705-1 1.060908-4-4.837425-1 1.061003-4-1.474471+0 1.061189-4-3.015910+0 1.061552-4-5.549243+0 1.061900-4-7.694438+0 1.062527-4-1.114526+1 1.063571-4-1.610606+1 1.065113-4-2.230057+1 1.067015-4-2.874896+1 1.070828-4-3.924045+1 1.077953-4-5.480088+1 1.089214-4-7.898354+1 1.090821-4-8.323902+1 1.094573-4-7.115069+1 1.095937-4-6.405258+1 1.100699-4-4.474038+1 1.103385-4-3.249984+1 1.104401-4-2.786246+1 1.105822-4-2.241461+1 1.106214-4-2.039366+1 1.106880-4-1.817985+1 1.107423-4-1.689327+1 1.109295-4-1.359329+1 1.109765-4-1.331405+1 1.110618-4-1.378755+1 1.111367-4-1.501273+1 1.112345-4-1.764096+1 1.113391-4-2.173138+1 1.114519-4-2.772426+1 1.115494-4-3.444931+1 1.116392-4-4.239828+1 1.119467-4-7.824816+1 1.119833-4-8.361184+1 1.121576-4-5.911120+1 1.122460-4-4.614006+1 1.122587-4-4.374360+1 1.124896-4-1.049785+1 1.124980-4-9.002537+0 1.125143-4-6.517406+0 1.125449-4-2.310329+0 1.125985-4 4.377950+0 1.127406-4 2.070739+1 1.127731-4 2.494196+1 1.128508-4 3.278290+1 1.129340-4 3.948820+1 1.130528-4 4.712698+1 1.132056-4 5.427882+1 1.133641-4 5.874368+1 1.135297-4 5.978387+1 1.138038-4 5.417717+1 1.140776-4 4.384605+1 1.144079-4 2.908237+1 1.145253-4 2.452350+1 1.147894-4 1.515665+1 1.148774-4 1.150597+1 1.148966-4 1.055800+1 1.149458-4 7.667840+0 1.149984-4 5.407229+0 1.150772-4 2.601564+0 1.151561-4 1.862897-1 1.152340-4-1.937441+0 1.153510-4-4.752191+0 1.154679-4-7.231038+0 1.156022-4-9.752274+0 1.158036-4-1.301876+1 1.161739-4-1.781985+1 1.166278-4-2.227600+1 1.172731-4-2.705128+1 1.184125-4-3.330163+1 1.195000-4-3.752428+1 1.217700-4-4.294729+1 1.243152-4-4.628870+1 1.295245-4-4.924634+1 2.152310-4-6.217721+1 2.741875-4-6.588791+1 3.405970-4-6.857062+1 4.182162-4-7.391739+1 4.670176-4-7.988739+1 5.117539-4-8.900933+1 5.400000-4-8.885200+1 6.535293-4-6.915269+1 7.293328-4-6.065200+1 7.788091-4-5.836452+1 7.976085-4-5.869553+1 8.236955-4-5.507537+1 8.502293-4-5.327836+1 8.802500-4-4.956391+1 9.745577-4-4.279415+1 1.068127-3-3.892927+1 1.111032-3-3.861288+1 1.144835-3-3.596397+1 1.258926-3-3.165496+1 1.454190-3-2.744731+1 1.550883-3-2.618892+1 1.686068-3-2.418256+1 1.933081-3-2.223862+1 2.288036-3-2.118047+1 2.672636-3-2.139263+1 3.066862-3-2.292011+1 3.344995-3-2.522399+1 3.535360-3-2.818532+1 3.641884-3-3.125891+1 3.697744-3-3.430683+1 3.760914-3-4.067999+1 3.788083-3-4.111196+1 3.861082-3-3.549045+1 3.903964-3-3.470227+1 3.971390-3-3.606777+1 4.003460-3-3.441601+1 4.066134-3-2.927520+1 4.130804-3-2.629464+1 4.243660-3-2.326581+1 4.378769-3-2.133344+1 4.470156-3-2.115972+1 4.535116-3-2.186823+1 4.576034-3-2.116623+1 4.657602-3-1.835965+1 4.762689-3-1.632169+1 4.948707-3-1.409650+1 5.178882-3-1.235046+1 5.394968-3-1.148890+1 5.549400-3-1.160038+1 5.725844-3-1.019853+1 5.912280-3-9.727887+0 6.081605-3-8.493405+0 6.354138-3-7.360609+0 6.737004-3-6.319685+0 7.228738-3-5.465036+0 7.804303-3-4.831961+0 8.405650-3-4.451030+0 9.120108-3-4.245783+0 1.015180-2-4.175117+0 1.158944-2-4.397104+0 1.319433-2-4.879755+0 1.482491-2-5.635196+0 1.608051-2-6.526649+0 1.687784-2-7.445048+0 1.738195-2-8.439747+0 1.765006-2-9.409471+0 1.783638-2-1.070302+1 1.799959-2-1.198183+1 1.809462-2-1.211999+1 1.820322-2-1.150761+1 1.844251-2-9.511236+0 1.865472-2-8.514431+0 1.901366-2-7.599159+0 1.954410-2-6.861196+0 2.029326-2-6.385718+0 2.100674-2-6.319135+0 2.158370-2-6.606427+0 2.192366-2-7.127867+0 2.229220-2-8.280864+0 2.244751-2-8.295234+0 2.277198-2-7.426898+0 2.317618-2-6.912128+0 2.365839-2-5.571280+0 2.410000-2-4.846109+0 2.479018-2-4.101891+0 2.563009-2-3.475857+0 2.673869-2-2.888174+0 2.791576-2-2.445701+0 2.936890-2-2.061037+0 3.102441-2-1.757217+0 3.320978-2-1.487169+0 3.500000-2-1.343428+0 3.797541-2-1.208136+0 4.130303-2-1.148726+0 4.607421-2-1.143347+0 5.452966-2-1.250638+0 8.617908-2-1.871114+0 1.010488-1-2.244885+0 1.096951-1-2.578392+0 1.149910-1-2.924814+0 1.179073-1-3.262105+0 1.195661-1-3.611980+0 1.208400-1-4.127678+0 1.218307-1-4.570365+0 1.224495-1-4.632838+0 1.232461-1-4.380898+0 1.248132-1-3.605058+0 1.260910-1-3.227562+0 1.283005-1-2.846771+0 1.314368-1-2.511806+0 1.369316-1-2.157724+0 1.431955-1-1.898523+0 1.530658-1-1.652332+0 1.647776-1-1.481144+0 1.790583-1-1.359316+0 2.031845-1-1.257960+0 2.406594-1-1.207847+0 3.643376-1-1.241405+0 6.650458-1-1.329407+0 1.546860+0-1.369470+0 4.694823+0-1.385504+0 1.000000+1-1.386131+0 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.610879-2 1.092053-6 1.443565-1 1.163583-6 1.954073-1 1.197722-6 2.248361-1 1.261732-6 2.915401-1 1.325740-6 3.752451-1 1.364141-6 4.364601-1 1.402754-6 5.074049-1 1.438954-6 5.833858-1 1.472891-6 6.645367-1 1.504707-6 7.505860-1 1.534534-6 8.412207-1 1.588713-6 1.034824+0 1.613290-6 1.137070+0 1.636331-6 1.243336+0 1.679533-6 1.469953+0 1.717335-6 1.702572+0 1.750411-6 1.938520+0 1.779353-6 2.174232+0 1.804678-6 2.406738+0 1.826836-6 2.635007+0 1.865614-6 3.092444+0 1.894697-6 3.492629+0 1.916510-6 3.835227+0 1.949228-6 4.426382+0 1.991704-6 5.353046+0 2.020973-6 6.134763+0 2.050243-6 7.066401+0 2.074635-6 7.985134+0 2.101394-6 9.177702+0 2.121907-6 1.024970+1 2.141139-6 1.141026+1 2.159168-6 1.266517+1 2.176071-6 1.401965+1 2.191917-6 1.547899+1 2.206772-6 1.704868+1 2.220700-6 1.873438+1 2.233756-6 2.054191+1 2.245997-6 2.247729+1 2.257473-6 2.454670+1 2.268231-6 2.675650+1 2.278317-6 2.911322+1 2.287773-6 3.162354+1 2.296638-6 3.429436+1 2.304948-6 3.713277+1 2.312740-6 4.014618+1 2.320044-6 4.334234+1 2.326892-6 4.672952+1 2.333312-6 5.031653+1 2.339330-6 5.411281+1 2.344972-6 5.812866+1 2.350262-6 6.237564+1 2.355221-6 6.686714+1 2.359871-6 7.161906+1 2.364229-6 7.665029+1 2.368315-6 8.198265+1 2.375977-6 9.407585+1 2.382681-6 1.077697+2 2.388547-6 1.232026+2 2.393679-6 1.403710+2 2.398171-6 1.590998+2 2.402100-6 1.790629+2 2.405539-6 1.998365+2 2.408547-6 2.209616+2 2.411180-6 2.419973+2 2.415499-6 2.823306+2 2.421672-6 3.543395+2 2.430683-6 4.943076+2 2.435588-6 5.889234+2 2.438579-6 6.527219+2 2.441569-6 7.207469+2 2.447549-6 8.671348+2 2.448296-6 8.861656+2 2.453529-6 1.021608+3 2.455585-6 1.074990+3 2.459509-6 1.175002+3 2.461565-6 1.225508+3 2.463527-6 1.271931+3 2.466237-6 1.332371+3 2.468526-6 1.379379+3 2.471469-6 1.433277+3 2.474086-6 1.474069+3 2.477134-6 1.512064+3 2.480627-6 1.541737+3 2.483617-6 1.554586+3 2.484658-6 1.556253+3 2.487628-6 1.552949+3 2.489820-6 1.542875+3 2.495668-6 1.485472+3 2.497533-6 1.458412+3 2.501933-6 1.379852+3 2.504302-6 1.330040+3 2.506299-6 1.284621+3 2.508264-6 1.237289+3 2.510616-6 1.177869+3 2.513638-6 1.098102+3 2.516325-6 1.025171+3 2.519132-6 9.481237+2 2.522536-6 8.550985+2 2.525291-6 7.812332+2 2.528655-6 6.940914+2 2.531271-6 6.293517+2 2.537695-6 4.845040+2 2.539981-6 4.383619+2 2.544347-6 3.586504+2 2.547387-6 3.096438+2 2.550488-6 2.650418+2 2.553607-6 2.254257+2 2.556630-6 1.917469+2 2.560469-6 1.551351+2 2.564307-6 1.247048+2 2.568913-6 9.524869+1 2.571984-6 7.927889+1 2.575055-6 6.581227+1 2.578126-6 5.450880+1 2.584267-6 3.718542+1 2.590409-6 2.522107+1 2.596551-6 1.702911+1 2.608834-6 7.719228+0 2.611905-6 6.357384+0 2.614976-6 5.266765+0 2.618047-6 4.408364+0 2.619720-6 4.026768+0 2.621381-6 3.702745+0 2.623029-6 3.431290+0 2.624663-6 3.207974+0 2.626286-6 3.028868+0 2.627895-6 2.890473+0 2.628693-6 2.835649+0 2.629885-6 2.770191+0 2.631069-6 2.723830+0 2.631855-6 2.703006+0 2.633421-6 2.684272+0 2.634975-6 2.694416+0 2.638058-6 2.794117+0 2.641092-6 2.988189+0 2.644080-6 3.264655+0 2.691132-6 1.632970+1 2.699954-6 2.086972+1 2.708225-6 2.604586+1 2.715979-6 3.187818+1 2.730063-6 4.557166+1 2.742441-6 6.213941+1 2.748057-6 7.160719+1 2.753321-6 8.194631+1 2.758257-6 9.323433+1 2.762883-6 1.055599+2 2.767221-6 1.190190+2 2.771288-6 1.337096+2 2.775100-6 1.497240+2 2.778674-6 1.671418+2 2.782025-6 1.860214+2 2.785166-6 2.063951+2 2.788112-6 2.282639+2 2.790872-6 2.515968+2 2.796049-6 3.042134+2 2.800579-6 3.618547+2 2.804542-6 4.232121+2 2.811045-6 5.511453+2 2.824116-6 9.450485+2 2.830563-6 1.225264+3 2.834969-6 1.454782+3 2.839258-6 1.709349+3 2.842744-6 1.939000+3 2.846229-6 2.188533+3 2.853201-6 2.741980+3 2.854072-6 2.815634+3 2.860172-6 3.352143+3 2.862569-6 3.570081+3 2.867143-6 3.990041+3 2.870684-6 4.312394+3 2.874115-6 4.616579+3 2.877655-6 4.915914+3 2.881086-6 5.186159+3 2.884136-6 5.405419+3 2.886954-6 5.587174+3 2.888493-6 5.676939+3 2.892578-6 5.879400+3 2.895768-6 5.998193+3 2.899124-6 6.083228+3 2.902567-6 6.126107+3 2.905505-6 6.126596+3 2.908971-6 6.084646+3 2.911398-6 6.028531+3 2.916378-6 5.848152+3 2.919161-6 5.712071+3 2.921038-6 5.607386+3 2.923785-6 5.437053+3 2.926454-6 5.254376+3 2.929885-6 4.998482+3 2.932935-6 4.755165+3 2.935876-6 4.510108+3 2.940342-6 4.125955+3 2.943828-6 3.822297+3 2.947749-6 3.483188+3 2.950799-6 3.224968+3 2.957771-6 2.666152+3 2.962454-6 2.323368+3 2.964742-6 2.167068+3 2.969970-6 1.838997+3 2.976855-6 1.470195+3 2.990230-6 9.455493+2 2.995435-6 8.000262+2 2.998008-6 7.381662+2 3.003112-6 6.325531+2 3.008136-6 5.477525+2 3.013082-6 4.795646+2 3.017950-6 4.244996+2 3.022743-6 3.797287+2 3.027460-6 3.430037+2 3.032104-6 3.125656+2 3.036676-6 2.870543+2 3.041175-6 2.654265+2 3.050035-6 2.305807+2 3.058617-6 2.039929+2 3.066931-6 1.830148+2 3.074985-6 1.660251+2 3.082788-6 1.519837+2 3.090346-6 1.401911+2 3.097669-6 1.301560+2 3.104763-6 1.215214+2 3.118507-6 1.072493+2 3.131392-6 9.618861+1 3.143472-6 8.739757+1 3.154796-6 8.026879+1 3.165413-6 7.439152+1 3.175367-6 6.947718+1 3.194029-6 6.153277+1 3.210359-6 5.567482+1 3.224648-6 5.121923+1 3.237150-6 4.774848+1 3.259029-6 4.246537+1 3.275439-6 3.904513+1 3.300053-6 3.460410+1 3.332851-6 2.968756+1 3.373767-6 2.475652+1 3.471966-6 1.632727+1 3.509466-6 1.389215+1 3.535191-6 1.238305+1 3.560915-6 1.097748+1 3.578065-6 1.008777+1 3.595214-6 9.229536+0 3.612364-6 8.397830+0 3.620939-6 7.990482+0 3.629514-6 7.588081+0 3.638088-6 7.190116+0 3.646663-6 6.796101+0 3.655238-6 6.405581+0 3.669874-6 5.745916+0 3.682681-6 5.174758+0 3.693887-6 4.679047+0 3.703692-6 4.248379+0 3.712272-6 3.874232+0 3.727286-6 3.227955+0 3.738547-6 2.754959+0 3.746992-6 2.411804+0 3.753326-6 2.164737+0 3.758077-6 1.987687+0 3.772329-6 1.525805+0 3.776971-6 1.410055+0 3.781614-6 1.320035+0 3.786257-6 1.262967+0 3.790899-6 1.247828+0 3.795542-6 1.285645+0 3.797863-6 1.328488+0 3.800184-6 1.389775+0 3.802506-6 1.471582+0 3.804246-6 1.547749+0 3.806858-6 1.688240+0 3.809469-6 1.863500+0 3.811791-6 2.051666+0 3.813532-6 2.214647+0 3.815817-6 2.459416+0 3.819335-6 2.911541+0 3.824886-6 3.837263+0 3.832836-6 5.707685+0 3.837934-6 7.309212+0 3.841319-6 8.570929+0 3.845108-6 1.018753+1 3.847381-6 1.126704+1 3.849742-6 1.247936+1 3.852842-6 1.421566+1 3.856827-6 1.669771+1 3.858525-6 1.784194+1 3.864337-6 2.215802+1 3.867971-6 2.516862+1 3.869909-6 2.686880+1 3.874994-6 3.163348+1 3.877418-6 3.404910+1 3.879355-6 3.604146+1 3.885703-6 4.290464+1 3.889541-6 4.725304+1 3.893759-6 5.214456+1 3.897505-6 5.653618+1 3.901417-6 6.111670+1 3.904942-6 6.518807+1 3.908589-6 6.929550+1 3.912729-6 7.376582+1 3.914374-6 7.546988+1 3.918643-6 7.965645+1 3.923073-6 8.357898+1 3.925288-6 8.535547+1 3.929733-6 8.850413+1 3.933401-6 9.065014+1 3.935381-6 9.162756+1 3.940230-6 9.346283+1 3.943786-6 9.428938+1 3.945663-6 9.454591+1 3.951884-6 9.451127+1 3.956381-6 9.365905+1 3.960740-6 9.220528+1 3.965537-6 8.994388+1 3.970186-6 8.715719+1 3.974319-6 8.425083+1 3.978305-6 8.112259+1 3.984356-6 7.588523+1 3.989080-6 7.149897+1 3.990260-6 7.037344+1 3.997493-6 6.333547+1 3.998526-6 6.232014+1 4.007973-6 5.312359+1 4.013286-6 4.813843+1 4.017419-6 4.441313+1 4.024504-6 3.841131+1 4.029692-6 3.436543+1 4.035338-6 3.032403+1 4.045084-6 2.425308+1 4.067472-6 1.435393+1 4.074935-6 1.211928+1 4.082398-6 1.031152+1 4.084886-6 9.792853+0 4.092348-6 8.457321+0 4.094882-6 8.071841+0 4.098682-6 7.550949+0 4.102483-6 7.092895+0 4.105800-6 6.739497+0 4.110687-6 6.289366+0 4.112580-6 6.135494+0 4.117629-6 5.775495+0 4.121416-6 5.549470+0 4.122678-6 5.481910+0 4.130251-6 5.153406+0 4.132776-6 5.072493+0 4.143122-6 4.898599+0 4.146628-6 4.904887+0 4.153320-6 5.031599+0 4.154595-6 5.075473+0 4.156826-6 5.169593+0 4.158499-6 5.255681+0 4.161008-6 5.411873+0 4.164368-6 5.676865+0 4.167237-6 5.959595+0 4.169091-6 6.172525+0 4.171383-6 6.471386+0 4.178403-6 7.660584+0 4.182352-6 8.534231+0 4.186894-6 9.744517+0 4.189663-6 1.059827+1 4.205780-6 1.749492+1 4.211420-6 2.071764+1 4.215974-6 2.361510+1 4.220887-6 2.701486+1 4.225429-6 3.038156+1 4.229349-6 3.343250+1 4.233731-6 3.696650+1 4.238102-6 4.058046+1 4.242484-6 4.424236+1 4.247088-6 4.807536+1 4.250162-6 5.059397+1 4.254020-6 5.367705+1 4.258400-6 5.702528+1 4.261457-6 5.923830+1 4.266471-6 6.259854+1 4.270421-6 6.496940+1 4.273623-6 6.668952+1 4.278972-6 6.912067+1 4.283683-6 7.076975+1 4.289993-6 7.221729+1 4.294591-6 7.271198+1 4.299708-6 7.271256+1 4.302997-6 7.241604+1 4.306287-6 7.189703+1 4.309905-6 7.108195+1 4.314655-6 6.965218+1 4.319235-6 6.792494+1 4.325890-6 6.489778+1 4.331018-6 6.222828+1 4.333582-6 6.080736+1 4.339351-6 5.745391+1 4.341274-6 5.630016+1 4.351531-6 5.001074+1 4.354095-6 4.843522+1 4.361787-6 4.379489+1 4.372043-6 3.797495+1 4.401615-6 2.479675+1 4.408226-6 2.262218+1 4.414631-6 2.075377+1 4.427039-6 1.771370+1 4.438673-6 1.542898+1 4.449579-6 1.366286+1 4.470028-6 1.102214+1 4.519234-6 6.461422+0 4.530976-6 5.567500+0 4.541251-6 4.834550+0 4.550241-6 4.237292+0 4.564991-6 3.381266+0 4.571013-6 3.094897+0 4.576283-6 2.886202+0 4.580894-6 2.743222+0 4.584929-6 2.654572+0 4.588460-6 2.609695+0 4.591549-6 2.599082+0 4.594252-6 2.614425+0 4.598982-6 2.704124+0 4.602530-6 2.831096+0 4.605190-6 2.964284+0 4.607186-6 3.087509+0 4.608683-6 3.193931+0 4.610928-6 3.377433+0 4.613173-6 3.591346+0 4.615899-6 3.895004+0 4.618839-6 4.280436+0 4.622558-6 4.861612+0 4.627053-6 5.717520+0 4.632622-6 7.036496+0 4.641966-6 9.981259+0 4.647929-6 1.239737+1 4.649910-6 1.330023+1 4.654433-6 1.555550+1 4.659312-6 1.829929+1 4.670738-6 2.601241+1 4.674223-6 2.871848+1 4.676439-6 3.052119+1 4.683804-6 3.694235+1 4.688383-6 4.123495+1 4.692242-6 4.500504+1 4.697335-6 5.015377+1 4.700958-6 5.390659+1 4.704835-6 5.797573+1 4.710075-6 6.351121+1 4.714758-6 6.843204+1 4.719706-6 7.353690+1 4.724897-6 7.871043+1 4.730150-6 8.367690+1 4.736822-6 8.946729+1 4.740618-6 9.245123+1 4.752268-6 9.991587+1 4.754264-6 1.009120+2 4.764097-6 1.045031+2 4.767793-6 1.052737+2 4.774850-6 1.058616+2 4.779084-6 1.056687+2 4.782261-6 1.052645+2 4.788046-6 1.039838+2 4.792769-6 1.024488+2 4.798969-6 9.983033+1 4.804947-6 9.673491+1 4.812632-6 9.207719+1 4.818324-6 8.824032+1 4.826861-6 8.205638+1 4.829707-6 7.991851+1 4.841090-6 7.121512+1 4.848953-6 6.524394+1 4.856114-6 5.996514+1 4.865936-6 5.311267+1 4.880297-6 4.414332+1 4.902030-6 3.325827+1 4.911246-6 2.960412+1 4.918547-6 2.708482+1 4.930564-6 2.360190+1 4.935423-6 2.241065+1 4.947511-6 1.993827+1 4.953555-6 1.894521+1 4.959600-6 1.810103+1 4.965644-6 1.739613+1 4.971688-6 1.682084+1 4.975561-6 1.651576+1 4.982338-6 1.609181+1 4.987421-6 1.585780+1 4.995046-6 1.562502+1 5.002670-6 1.551171+1 5.007953-6 1.548927+1 5.020042-6 1.555610+1 5.044218-6 1.581690+1 5.056307-6 1.583228+1 5.066154-6 1.573424+1 5.070854-6 1.564864+1 5.081428-6 1.536586+1 5.093023-6 1.492948+1 5.105406-6 1.436032+1 5.135310-6 1.290702+1 5.143015-6 1.258489+1 5.150720-6 1.230327+1 5.161535-6 1.198637+1 5.172350-6 1.176731+1 5.199906-6 1.163926+1 5.213684-6 1.177525+1 5.227463-6 1.201051+1 5.268536-6 1.295107+1 5.284717-6 1.325147+1 5.292204-6 1.335022+1 5.304924-6 1.344562+1 5.315125-6 1.345107+1 5.327963-6 1.336805+1 5.338617-6 1.322896+1 5.360099-6 1.279418+1 5.381502-6 1.223192+1 5.443606-6 1.055630+1 5.463069-6 1.013389+1 5.483360-6 9.777547+0 5.488194-6 9.707450+0 5.503399-6 9.530481+0 5.515789-6 9.442177+0 5.528527-6 9.412573+0 5.541057-6 9.451522+0 5.547556-6 9.500106+0 5.555794-6 9.590158+0 5.563829-6 9.708179+0 5.578511-6 9.994633+0 5.597402-6 1.046560+1 5.623008-6 1.115805+1 5.636650-6 1.148100+1 5.650423-6 1.173306+1 5.656079-6 1.180961+1 5.664564-6 1.189196+1 5.673049-6 1.193419+1 5.680716-6 1.193814+1 5.688384-6 1.191114+1 5.701886-6 1.179623+1 5.715389-6 1.161165+1 5.728892-6 1.137905+1 5.780873-6 1.038138+1 5.812661-6 9.876357+0 5.850697-6 9.410258+0 6.002867-6 8.049626+0 6.032418-6 7.838727+0 6.047193-6 7.759712+0 6.061968-6 7.705700+0 6.076744-6 7.680757+0 6.090522-6 7.685073+0 6.104300-6 7.714549+0 6.121069-6 7.777858+0 6.165395-6 7.985491+0 6.182792-6 8.033119+0 6.195118-6 8.042514+0 6.207444-6 8.029003+0 6.224496-6 7.972675+0 6.239272-6 7.892574+0 6.268822-6 7.674638+0 6.312041-6 7.337316+0 6.328820-6 7.232163+0 6.349207-6 7.133768+0 6.374540-6 7.053302+0 6.456000-6 6.898045+0 6.499458-6 6.764181+0 6.585827-6 6.450013+0 6.660594-6 6.166921+0 6.720273-6 5.892168+0 6.746812-6 5.765846+0 6.781046-6 5.636073+0 6.796999-6 5.602887+0 6.814078-6 5.595693+0 6.833069-6 5.628043+0 6.846240-6 5.676598+0 6.864871-6 5.778928+0 6.898215-6 6.027654+0 6.914435-6 6.155306+0 6.931164-6 6.273643+0 6.949583-6 6.374099+0 6.961541-6 6.417293+0 6.979399-6 6.445627+0 6.997289-6 6.430958+0 7.012413-6 6.388660+0 7.028522-6 6.319562+0 7.044599-6 6.232995+0 7.132039-6 5.709249+0 7.200000-6 5.393613+0 7.286561-6 5.054746+0 7.322430-6 4.936229+0 7.340365-6 4.888739+0 7.358300-6 4.852377+0 7.376235-6 4.829014+0 7.390767-6 4.820175+0 7.417669-6 4.826009+0 7.483845-6 4.894571+0 7.515504-6 4.900043+0 7.529229-6 4.889444+0 7.555585-6 4.846097+0 7.591455-6 4.749415+0 7.645259-6 4.582960+0 7.673615-6 4.510093+0 7.712819-6 4.435035+0 7.821543-6 4.282472+0 8.052392-6 3.924972+0 8.112131-6 3.827801+0 8.147728-6 3.763137+0 8.227304-6 3.600744+0 8.305803-6 3.442805+0 8.366640-6 3.341628+0 8.517224-6 3.137286+0 8.627178-6 2.983622+0 8.761224-6 2.800899+0 9.015711-6 2.455363+0 9.350000-6 2.016032+0 9.717453-6 1.571233+0 1.010000-5 1.161908+0 1.029404-5 9.764941-1 1.060658-5 7.074105-1 1.089959-5 4.935612-1 1.102178-5 4.166239-1 1.117428-5 3.346954-1 1.143180-5 2.263997-1 1.158670-5 1.806362-1 1.167323-5 1.629156-1 1.178893-5 1.483327-1 1.189957-5 1.444234-1 1.203626-5 1.539244-1 1.211176-5 1.666393-1 1.231069-5 2.255781-1 1.249718-5 3.159281-1 1.275134-5 5.049245-1 1.294884-5 7.090372-1 1.312465-5 9.311122-1 1.330514-5 1.103081+0 1.331291-5 1.105743+0 1.350658-5 1.045630+0 1.368429-5 9.127844-1 1.386588-5 7.800749-1 1.397679-5 7.032038-1 1.411738-5 6.114890-1 1.426453-5 5.236905-1 1.450597-5 4.027631-1 1.460455-5 3.638418-1 1.470655-5 3.314282-1 1.477707-5 3.141952-1 1.490647-5 2.945618-1 1.500351-5 2.910021-1 1.514908-5 3.060810-1 1.522079-5 3.237704-1 1.529464-5 3.500793-1 1.533229-5 3.669095-1 1.536993-5 3.861863-1 1.544523-5 4.325010-1 1.552052-5 4.899080-1 1.559581-5 5.593750-1 1.567591-5 6.476854-1 1.578404-5 7.928611-1 1.604756-5 1.296815+0 1.618438-5 1.661188+0 1.628699-5 1.990200+0 1.644092-5 2.587116+0 1.659484-5 3.328221+0 1.671738-5 4.042222+0 1.683992-5 4.887647+0 1.696245-5 5.886392+0 1.721365-5 8.527287+0 1.785574-5 2.123096+1 1.798233-5 2.536731+1 1.810341-5 3.010360+1 1.821691-5 3.539250+1 1.832332-5 4.126101+1 1.842309-5 4.773254+1 1.851661-5 5.482515+1 1.862142-5 6.420433+1 1.868649-5 7.093918+1 1.876356-5 7.999386+1 1.883580-5 8.972946+1 1.890354-5 1.001510+2 1.898617-5 1.148969+2 1.902656-5 1.230564+2 1.909370-5 1.382563+2 1.918374-5 1.624988+2 1.923726-5 1.794713+2 1.931595-5 2.088009+2 1.939140-5 2.431221+2 1.946472-5 2.842510+2 1.951517-5 3.184424+2 1.957315-5 3.655652+2 1.960994-5 4.009486+2 1.964863-5 4.438442+2 1.968249-5 4.870474+2 1.971212-5 5.299049+2 1.976397-5 6.182235+2 1.980285-5 6.973530+2 1.985389-5 8.205776+2 1.996854-5 1.189648+3 2.001757-5 1.389975+3 2.006659-5 1.617747+3 2.018917-5 2.341585+3 2.021368-5 2.525394+3 2.023820-5 2.728834+3 2.026397-5 2.968528+3 2.029948-5 3.353001+3 2.032558-5 3.684804+3 2.036709-5 4.320288+3 2.039378-5 4.812314+3 2.043493-5 5.722333+3 2.053965-5 9.017618+3 2.057815-5 1.059926+4 2.060094-5 1.161901+4 2.062982-5 1.298563+4 2.065329-5 1.414357+4 2.068853-5 1.592568+4 2.071599-5 1.731632+4 2.073912-5 1.846433+4 2.076327-5 1.961539+4 2.078698-5 2.067656+4 2.080804-5 2.154325+4 2.083321-5 2.246454+4 2.086183-5 2.333291+4 2.088619-5 2.390117+4 2.090804-5 2.426498+4 2.093216-5 2.449792+4 2.095232-5 2.455298+4 2.097336-5 2.447413+4 2.099632-5 2.423167+4 2.100131-5 2.415778+4 2.103887-5 2.337292+4 2.106510-5 2.260313+4 2.108365-5 2.196191+4 2.110578-5 2.110544+4 2.112757-5 2.017956+4 2.115364-5 1.898648+4 2.118088-5 1.766905+4 2.121231-5 1.609781+4 2.123746-5 1.482972+4 2.126575-5 1.341872+4 2.128775-5 1.234819+4 2.133804-5 1.004415+4 2.135533-5 9.309937+3 2.137183-5 8.640532+3 2.140479-5 7.400965+3 2.143863-5 6.267911+3 2.147107-5 5.314481+3 2.150609-5 4.426282+3 2.157942-5 2.992820+3 2.163215-5 2.261305+3 2.166106-5 1.945508+3 2.168998-5 1.680061+3 2.171637-5 1.475528+3 2.173471-5 1.351809+3 2.176347-5 1.184032+3 2.179250-5 1.042323+3 2.181764-5 9.383262+2 2.184305-5 8.479118+2 2.186941-5 7.671725+2 2.189577-5 6.974473+2 2.194850-5 5.836270+2 2.200123-5 4.947502+2 2.205395-5 4.233380+2 2.208061-5 3.924198+2 2.211111-5 3.607654+2 2.214855-5 3.269876+2 2.216893-5 3.108957+2 2.218931-5 2.964274+2 2.221402-5 2.810913+2 2.224366-5 2.659560+2 2.226765-5 2.563563+2 2.229801-5 2.476509+2 2.231669-5 2.442026+2 2.235236-5 2.415689+2 2.236768-5 2.419707+2 2.237761-5 2.426996+2 2.239173-5 2.443441+2 2.240321-5 2.461831+2 2.242043-5 2.497312+2 2.244897-5 2.574785+2 2.248366-5 2.694226+2 2.257520-5 3.072202+2 2.261747-5 3.238408+2 2.263607-5 3.303390+2 2.268340-5 3.436531+2 2.270559-5 3.480119+2 2.273251-5 3.515218+2 2.276271-5 3.530749+2 2.277852-5 3.528934+2 2.279826-5 3.517435+2 2.281523-5 3.499758+2 2.284068-5 3.460818+2 2.286613-5 3.408680+2 2.290254-5 3.315534+2 2.296130-5 3.135379+2 2.309091-5 2.726530+2 2.311854-5 2.651793+2 2.316390-5 2.543472+2 2.320527-5 2.460440+2 2.325430-5 2.379668+2 2.334643-5 2.266876+2 2.342882-5 2.190203+2 2.361316-5 2.035736+2 2.390154-5 1.803037+2 2.410229-5 1.669156+2 2.430618-5 1.554464+2 2.455234-5 1.435926+2 2.559682-5 1.053150+2 2.654440-5 8.078264+1 2.749162-5 6.206035+1 2.790732-5 5.543001+1 2.819449-5 5.152252+1 2.840797-5 4.908352+1 2.853477-5 4.787727+1 2.867089-5 4.683038+1 2.880700-5 4.608555+1 2.894311-5 4.567731+1 2.907253-5 4.558396+1 2.942676-5 4.581541+1 2.956613-5 4.588485+1 2.963113-5 4.604339+1 2.967312-5 4.623939+1 2.971379-5 4.652859+1 2.975320-5 4.692780+1 2.979137-5 4.745224+1 2.982835-5 4.811560+1 2.986417-5 4.893030+1 2.989887-5 4.990769+1 2.993249-5 5.105838+1 2.996506-5 5.239259+1 2.999756-5 5.397014+1 3.002718-5 5.565198+1 3.005679-5 5.759791+1 3.008547-5 5.976929+1 3.014105-5 6.492780+1 3.019315-5 7.117623+1 3.024200-5 7.863665+1 3.028779-5 8.744133+1 3.033072-5 9.772670+1 3.037097-5 1.096250+2 3.040871-5 1.232548+2 3.045007-5 1.416247+2 3.047724-5 1.560621+2 3.050833-5 1.753339+2 3.053748-5 1.965176+2 3.056481-5 2.195637+2 3.059043-5 2.443854+2 3.061444-5 2.708621+2 3.063696-5 2.988453+2 3.067918-5 3.607713+2 3.074844-5 4.948977+2 3.084778-5 7.804009+2 3.089854-5 9.802580+2 3.095060-5 1.230675+3 3.098840-5 1.444273+3 3.102819-5 1.700109+3 3.105094-5 1.861081+3 3.108906-5 2.155409+3 3.112718-5 2.480418+3 3.120818-5 3.267814+3 3.122605-5 3.457547+3 3.127966-5 4.055063+3 3.130899-5 4.396301+3 3.135590-5 4.954382+3 3.138172-5 5.264093+3 3.142064-5 5.727385+3 3.145519-5 6.128903+3 3.149129-5 6.531030+3 3.152087-5 6.842136+3 3.155773-5 7.199952+3 3.158938-5 7.475611+3 3.163406-5 7.805967+3 3.166894-5 8.010217+3 3.170888-5 8.180725+3 3.174600-5 8.275153+3 3.177183-5 8.303489+3 3.181168-5 8.286769+3 3.184883-5 8.206296+3 3.186245-5 8.161610+3 3.190728-5 7.959974+3 3.194205-5 7.749977+3 3.197245-5 7.532087+3 3.200872-5 7.235477+3 3.203049-5 7.040956+3 3.206893-5 6.672421+3 3.210909-5 6.261200+3 3.215703-5 5.748183+3 3.219570-5 5.326593+3 3.223920-5 4.853849+3 3.227304-5 4.492945+3 3.234702-5 3.743004+3 3.238298-5 3.404567+3 3.245163-5 2.815959+3 3.251905-5 2.317275+3 3.267628-5 1.454548+3 3.271624-5 1.295018+3 3.276800-5 1.118580+3 3.279620-5 1.035284+3 3.283960-5 9.227430+2 3.288303-5 8.269113+2 3.293607-5 7.292098+2 3.297586-5 6.677567+2 3.303553-5 5.912283+2 3.309520-5 5.299873+2 3.313593-5 4.953082+2 3.317666-5 4.654542+2 3.324124-5 4.264298+2 3.333958-5 3.827052+2 3.342104-5 3.578582+2 3.346833-5 3.473283+2 3.351561-5 3.392802+2 3.354580-5 3.353117+2 3.359109-5 3.308901+2 3.363638-5 3.280929+2 3.366906-5 3.269461+2 3.371807-5 3.263672+2 3.377233-5 3.269767+2 3.384896-5 3.292620+2 3.400968-5 3.349786+2 3.411494-5 3.365642+2 3.418460-5 3.360706+2 3.426952-5 3.338204+2 3.434045-5 3.307864+2 3.446694-5 3.237853+2 3.469244-5 3.109704+2 3.484304-5 3.045100+2 3.502402-5 2.990833+2 3.539493-5 2.898030+2 3.555620-5 2.847753+2 3.598579-5 2.702458+2 3.623927-5 2.631276+2 3.655328-5 2.562157+2 3.690016-5 2.501217+2 3.749402-5 2.417716+2 3.784923-5 2.377329+2 3.826913-5 2.337205+2 3.910891-5 2.275481+2 3.981072-5 2.239800+2 4.050621-5 2.213161+2 4.123942-5 2.194986+2 4.282833-5 2.179903+2 4.392621-5 2.184224+2 4.536477-5 2.203553+2 4.748623-5 2.251810+2 5.130821-5 2.362614+2 5.155936-5 2.377979+2 5.180840-5 2.403288+2 5.211885-5 2.450846+2 5.257015-5 2.532466+2 5.269888-5 2.551747+2 5.289176-5 2.573329+2 5.318194-5 2.588819+2 5.395900-5 2.598901+2 5.432503-5 2.617794+2 5.529369-5 2.685840+2 5.900000-5 2.895573+2 6.129893-5 3.020123+2 6.377180-5 3.141380+2 6.626560-5 3.250387+2 6.882302-5 3.343395+2 7.147299-5 3.407842+2 7.398471-5 3.435508+2 7.650177-5 3.425700+2 7.867200-5 3.387422+2 8.053998-5 3.324892+2 8.249734-5 3.230022+2 8.436734-5 3.107473+2 8.579577-5 2.992692+2 8.730570-5 2.884440+2 8.769391-5 2.883119+2 8.912509-5 3.019943+2 9.042147-5 3.236601+2 9.165626-5 3.488438+2 9.277887-5 3.766367+2 9.386420-5 4.093043+2 9.472738-5 4.405718+2 9.557097-5 4.769581+2 9.609035-5 5.029372+2 9.669266-5 5.372706+2 9.729464-5 5.770382+2 9.789290-5 6.232849+2 9.830400-5 6.598564+2 9.886999-5 7.180915+2 9.944295-5 7.886251+2 1.000000-4 8.717609+2 1.003610-4 9.355400+2 1.008443-4 1.036857+3 1.011919-4 1.124084+3 1.015498-4 1.230398+3 1.016988-4 1.280697+3 1.020590-4 1.421128+3 1.023293-4 1.548667+3 1.024626-4 1.620500+3 1.026564-4 1.737945+3 1.029743-4 1.973393+3 1.031041-4 2.089164+3 1.033313-4 2.327684+3 1.035017-4 2.543848+3 1.036295-4 2.731882+3 1.038212-4 3.064557+3 1.039170-4 3.257616+3 1.040129-4 3.471185+3 1.042689-4 4.159470+3 1.043969-4 4.578747+3 1.045249-4 5.056217+3 1.046529-4 5.598044+3 1.049729-4 7.272550+3 1.053604-4 9.995212+3 1.058313-4 1.436624+4 1.060905-4 1.718710+4 1.061229-4 1.755413+4 1.063497-4 2.017337+4 1.064388-4 2.121120+4 1.066413-4 2.353563+4 1.067552-4 2.479476+4 1.068425-4 2.572145+4 1.069671-4 2.697274+4 1.070973-4 2.816614+4 1.072408-4 2.931775+4 1.073763-4 3.022292+4 1.075547-4 3.110665+4 1.076877-4 3.151846+4 1.078413-4 3.171576+4 1.079709-4 3.164583+4 1.081325-4 3.125724+4 1.082460-4 3.079053+4 1.084385-4 2.965815+4 1.085461-4 2.885432+4 1.086301-4 2.815116+4 1.087501-4 2.704382+4 1.088659-4 2.587788+4 1.089786-4 2.466687+4 1.090759-4 2.357469+4 1.092011-4 2.212537+4 1.093307-4 2.059330+4 1.094603-4 1.905330+4 1.096116-4 1.727491+4 1.097195-4 1.603545+4 1.099787-4 1.321769+4 1.100068-4 1.292943+4 1.104017-4 9.288690+3 1.105997-4 7.778218+3 1.108405-4 6.224343+3 1.114485-4 3.503097+3 1.115874-4 3.077583+3 1.117577-4 2.632236+3 1.119368-4 2.242090+3 1.122025-4 1.784986+3 1.125386-4 1.372647+3 1.129435-4 1.079480+3 1.131331-4 1.016662+3 1.133292-4 1.006757+3 1.134759-4 1.040143+3 1.136097-4 1.104624+3 1.137168-4 1.181849+3 1.138048-4 1.263714+3 1.138363-4 1.297338+3 1.139109-4 1.386217+3 1.139732-4 1.470876+3 1.140817-4 1.642114+3 1.141860-4 1.836810+3 1.143589-4 2.229090+3 1.144686-4 2.525287+3 1.147477-4 3.453952+3 1.149000-4 4.070252+3 1.151040-4 5.015454+3 1.152142-4 5.581100+3 1.154690-4 7.022315+3 1.155617-4 7.586389+3 1.157547-4 8.814381+3 1.158703-4 9.574358+3 1.159973-4 1.042082+4 1.161101-4 1.117412+4 1.162279-4 1.195396+4 1.163790-4 1.292880+4 1.164991-4 1.367113+4 1.166366-4 1.447113+4 1.167922-4 1.529442+4 1.169150-4 1.587028+4 1.170577-4 1.644505+4 1.171930-4 1.688580+4 1.174573-4 1.742582+4 1.175358-4 1.750073+4 1.176670-4 1.753717+4 1.177852-4 1.747591+4 1.178755-4 1.737065+4 1.180045-4 1.713604+4 1.180875-4 1.693566+4 1.181704-4 1.669898+4 1.183277-4 1.615956+4 1.184919-4 1.548616+4 1.186705-4 1.465312+4 1.188463-4 1.375947+4 1.190310-4 1.277487+4 1.190925-4 1.244157+4 1.193816-4 1.088342+4 1.194355-4 1.059919+4 1.198747-4 8.444983+3 1.202631-4 6.865961+3 1.205569-4 5.900376+3 1.207039-4 5.489062+3 1.208591-4 5.102752+3 1.210123-4 4.766258+3 1.211602-4 4.479989+3 1.213108-4 4.223594+3 1.215154-4 3.924920+3 1.217512-4 3.640522+3 1.219659-4 3.426977+3 1.221184-4 3.296654+3 1.224253-4 3.076935+3 1.227625-4 2.884738+3 1.231545-4 2.706016+3 1.236154-4 2.536919+3 1.240424-4 2.407355+3 1.244515-4 2.301151+3 1.250267-4 2.174996+3 1.255463-4 2.079879+3 1.261492-4 1.987537+3 1.271314-4 1.868721+3 1.282629-4 1.766404+3 1.292187-4 1.700541+3 1.305651-4 1.630192+3 1.318257-4 1.581016+3 1.333767-4 1.535828+3 1.349617-4 1.501287+3 1.367016-4 1.471933+3 1.495347-4 1.316288+3 1.601021-4 1.201949+3 1.747575-4 1.065350+3 1.950074-4 9.104497+2 2.062583-4 8.362624+2 2.129307-4 7.928793+2 2.147619-4 7.800362+2 2.181170-4 7.532675+2 2.207458-4 7.316230+2 2.220726-4 7.244846+2 2.235602-4 7.215846+2 2.265952-4 7.250465+2 2.287461-4 7.260491+2 2.314127-4 7.234796+2 2.371374-4 7.131730+2 2.470193-4 6.917917+2 2.580540-4 6.647863+2 2.711199-4 6.313776+2 2.770268-4 6.152417+2 2.818383-4 6.002640+2 2.886545-4 5.732070+2 2.921207-4 5.626859+2 2.946556-4 5.574148+2 2.977422-4 5.550160+2 3.024502-4 5.551166+2 3.135574-4 5.470649+2 3.313467-4 5.242856+2 3.521729-4 4.911632+2 3.630781-4 4.718150+2 3.691990-4 4.638309+2 3.839997-4 4.417485+2 4.000000-4 4.127564+2 4.147200-4 3.825274+2 4.294573-4 3.481872+2 4.405208-4 3.190722+2 4.485075-4 2.966964+2 4.539930-4 2.809014+2 4.617211-4 2.596189+2 4.674150-4 2.448410+2 4.695663-4 2.386261+2 4.740821-4 2.247632+2 4.785000-4 2.109614+2 4.823000-4 1.987768+2 4.860250-4 1.863080+2 4.897788-4 1.733315+2 4.925000-4 1.638689+2 5.005886-4 1.374560+2 5.034262-4 1.295453+2 5.061050-4 1.230994+2 5.089370-4 1.176086+2 5.118240-4 1.136642+2 5.138929-4 1.120046+2 5.164668-4 1.114479+2 5.188000-4 1.125039+2 5.213111-4 1.154092+2 5.242880-4 1.213583+2 5.267647-4 1.284660+2 5.302484-4 1.418747+2 5.336385-4 1.587873+2 5.358587-4 1.719292+2 5.385139-4 1.897769+2 5.472485-4 2.638431+2 5.508738-4 3.006287+2 5.522490-4 3.153680+2 5.563119-4 3.611275+2 5.590310-4 3.933570+2 5.625437-4 4.365098+2 5.652500-4 4.706393+2 5.670000-4 4.930059+2 5.695000-4 5.252482+2 5.722500-4 5.609739+2 5.740000-4 5.837835+2 5.783487-4 6.404697+2 5.835516-4 7.078144+2 5.875000-4 7.582300+2 5.938930-4 8.380061+2 6.012602-4 9.265819+2 6.090372-4 1.015613+3 6.183151-4 1.114340+3 6.291439-4 1.218976+3 6.419607-4 1.330095+3 6.553600-4 1.434229+3 6.725079-4 1.551743+3 6.866865-4 1.636980+3 7.010158-4 1.711783+3 7.152725-4 1.776951+3 7.332714-4 1.847900+3 7.500000-4 1.901552+3 7.661617-4 1.941837+3 7.952509-4 1.996452+3 7.998800-4 2.031847+3 8.039388-4 2.091480+3 8.059774-4 2.132850+3 8.101171-4 2.233441+3 8.153122-4 2.353123+3 8.177028-4 2.388197+3 8.196352-4 2.402651+3 8.217253-4 2.403719+3 8.239990-4 2.389606+3 8.273981-4 2.348657+3 8.315046-4 2.291775+3 8.334121-4 2.269990+3 8.352366-4 2.254097+3 8.392795-4 2.238023+3 8.457780-4 2.259663+3 8.493280-4 2.290345+3 8.537498-4 2.345021+3 8.598929-4 2.444563+3 8.659643-4 2.537388+3 8.677467-4 2.556286+3 8.698830-4 2.571716+3 8.718755-4 2.578797+3 8.741814-4 2.579014+3 8.852644-4 2.536981+3 8.906620-4 2.536608+3 8.991624-4 2.568779+3 9.127475-4 2.632798+3 9.394234-4 2.733045+3 9.667460-4 2.814447+3 1.005971-3 2.907669+3 1.041118-3 2.967617+3 1.079182-3 3.007612+3 1.103859-3 3.014792+3 1.119647-3 3.014341+3 1.127315-3 3.019344+3 1.132844-3 3.028152+3 1.147780-3 3.075337+3 1.171584-3 3.172160+3 1.186160-3 3.216722+3 1.212031-3 3.270090+3 1.244753-3 3.316526+3 1.293285-3 3.365539+3 1.345609-3 3.402222+3 1.430843-3 3.428866+3 1.463553-3 3.449568+3 1.504072-3 3.461498+3 1.577288-3 3.457570+3 1.596526-3 3.462640+3 1.638400-3 3.489434+3 1.693332-3 3.503436+3 1.758556-3 3.505149+3 1.839586-3 3.491388+3 1.930301-3 3.467298+3 2.045414-3 3.429306+3 2.147460-3 3.385335+3 2.268127-3 3.325892+3 2.390164-3 3.260364+3 2.542034-3 3.167414+3 2.682337-3 3.075657+3 2.834230-3 2.965822+3 2.975827-3 2.854412+3 3.090751-3 2.756850+3 3.200272-3 2.656632+3 3.311311-3 2.546092+3 3.401707-3 2.445114+3 3.472011-3 2.357959+3 3.538334-3 2.266612+3 3.602156-3 2.167489+3 3.650428-3 2.081767+3 3.692232-3 1.996376+3 3.727204-3 1.912695+3 3.757108-3 1.827769+3 3.780933-3 1.750081+3 3.819455-3 1.621206+3 3.828787-3 1.595397+3 3.838488-3 1.573572+3 3.850147-3 1.555861+3 3.857449-3 1.550143+3 3.866729-3 1.549120+3 3.875718-3 1.554629+3 3.884780-3 1.566101+3 3.894112-3 1.583222+3 3.909398-3 1.619957+3 3.952244-3 1.742838+3 3.974138-3 1.798004+3 3.995707-3 1.841334+3 4.047197-3 1.928860+3 4.067265-3 1.974714+3 4.096400-3 2.059567+3 4.154094-3 2.251254+3 4.178424-3 2.328359+3 4.194304-3 2.375086+3 4.212269-3 2.423397+3 4.236714-3 2.480419+3 4.263694-3 2.531997+3 4.297320-3 2.582447+3 4.333862-3 2.624205+3 4.374719-3 2.658816+3 4.423459-3 2.687026+3 4.468318-3 2.701744+3 4.516027-3 2.704622+3 4.552940-3 2.696019+3 4.625937-3 2.664144+3 4.642628-3 2.663350+3 4.662874-3 2.671419+3 4.689335-3 2.699187+3 4.718592-3 2.748575+3 4.757621-3 2.824306+3 4.779458-3 2.862398+3 4.805037-3 2.899443+3 4.834456-3 2.932346+3 4.876908-3 2.966614+3 4.924115-3 2.993510+3 4.987786-3 3.018800+3 5.049185-3 3.035231+3 5.130789-3 3.047588+3 5.288475-3 3.049584+3 5.448773-3 3.027718+3 5.517478-3 3.010889+3 5.624061-3 2.971750+3 5.695330-3 2.944261+3 5.745415-3 2.938444+3 5.875265-3 2.959204+3 5.964160-3 2.952812+3 6.086532-3 2.931996+3 6.275931-3 2.951000+3 6.427508-3 2.942091+3 6.645311-3 2.910315+3 6.948243-3 2.852750+3 7.473885-3 2.736762+3 8.058422-3 2.598789+3 8.447648-3 2.507769+3 9.028696-3 2.372646+3 9.780207-3 2.207399+3 1.045754-2 2.070030+3 1.135623-2 1.900609+3 1.240045-2 1.723382+3 1.296984-2 1.634894+3 1.353764-2 1.551329+3 1.412061-2 1.469902+3 1.471810-2 1.390062+3 1.523987-2 1.323188+3 1.573711-2 1.260844+3 1.614736-2 1.210107+3 1.652437-2 1.163401+3 1.683794-2 1.123972+3 1.710552-2 1.089249+3 1.733507-2 1.058118+3 1.752309-2 1.031063+3 1.768880-2 1.005285+3 1.783288-2 9.803896+2 1.794373-2 9.586063+2 1.803014-2 9.393350+2 1.815835-2 9.067100+2 1.832842-2 8.626071+2 1.839961-2 8.488516+2 1.844837-2 8.426149+2 1.850333-2 8.392942+2 1.853896-2 8.393299+2 1.861430-2 8.446912+2 1.869069-2 8.558718+2 1.886718-2 8.893341+2 1.893601-2 9.008462+2 1.900402-2 9.102158+2 1.907764-2 9.180719+2 1.916644-2 9.248080+2 1.927868-2 9.301031+2 1.940681-2 9.331939+2 1.955804-2 9.342174+2 1.973736-2 9.329309+2 1.992445-2 9.294733+2 2.014207-2 9.234447+2 2.059444-2 9.062303+2 2.112776-2 8.801742+2 2.161989-2 8.515759+2 2.197682-2 8.275587+2 2.216441-2 8.131194+2 2.232740-2 7.989114+2 2.255543-2 7.752350+2 2.282265-2 7.449056+2 2.293529-2 7.352070+2 2.304093-2 7.297684+2 2.314420-2 7.280986+2 2.333095-2 7.312363+2 2.386036-2 7.433315+2 2.434811-2 7.603880+2 2.461562-2 7.639894+2 2.500748-2 7.624953+2 2.545285-2 7.564807+2 2.602017-2 7.456433+2 2.703325-2 7.220527+2 2.844871-2 6.856706+2 3.037932-2 6.357137+2 3.331050-2 5.665211+2 3.596500-2 5.118983+2 3.916987-2 4.546208+2 4.349079-2 3.897618+2 4.844470-2 3.303549+2 5.245125-2 2.911636+2 5.738979-2 2.508874+2 6.526807-2 2.011144+2 7.681263-2 1.509660+2 8.682041-2 1.210832+2 9.477639-2 1.029848+2 1.028086-1 8.814274+1 1.065473-1 8.208530+1 1.096211-1 7.741010+1 1.122435-1 7.359126+1 1.162606-1 6.790921+1 1.190375-1 6.392543+1 1.201219-1 6.227916+1 1.210104-1 6.083785+1 1.217311-1 5.956178+1 1.227129-1 5.759637+1 1.243269-1 5.413481+1 1.249063-1 5.322594+1 1.254200-1 5.275945+1 1.258628-1 5.264302+1 1.264238-1 5.283188+1 1.282309-1 5.439454+1 1.289812-1 5.483315+1 1.301201-1 5.508699+1 1.308622-1 5.506772+1 1.328639-1 5.464838+1 1.350216-1 5.388771+1 1.385702-1 5.234474+1 1.428894-1 5.029483+1 1.486033-1 4.753693+1 1.578577-1 4.326742+1 1.727195-1 3.728091+1 1.923801-1 3.095752+1 2.182123-1 2.475225+1 2.554996-1 1.859924+1 3.148820-1 1.264151+1 3.920926-1 8.367702+0 5.166045-1 4.941756+0 7.610378-1 2.336080+0 1.228714+0 9.166855-1 1.859734+0 4.047949-1 3.384160+0 1.231846-1 1.032996+1 1.326347-2 3.231848+1 1.355127-3 9.760024+1 1.485870-4 2.947480+2 1.629224-5 8.901248+2 1.786408-6 3.162278+3 1.415411-7 1.000000+4 1.415411-8 3.162278+4 1.415411-9 1.000000+5 1.41541-10 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.773800-6 1.258900-6 4.396200-6 1.584900-6 6.967400-6 1.995300-6 1.104300-5 2.511900-6 1.750100-5 3.162300-6 2.773800-5 3.981100-6 4.396100-5 5.011900-6 6.967300-5 6.309600-6 1.104200-4 7.943300-6 1.750100-4 1.000000-5 2.773700-4 1.258900-5 4.395900-4 1.584900-5 6.963300-4 1.995300-5 1.102900-3 2.511900-5 1.747000-3 3.162300-5 2.767600-3 3.981100-5 4.384900-3 5.011900-5 6.948000-3 6.309600-5 1.100900-2 7.943300-5 1.741500-2 1.000000-4 2.753600-2 1.258900-4 4.353400-2 1.584900-4 6.863400-2 1.995300-4 1.079800-1 2.511900-4 1.691200-1 3.162300-4 2.630400-1 3.981100-4 4.044700-1 5.011900-4 6.087300-1 6.309600-4 8.930200-1 7.943300-4 1.269800+0 1.000000-3 1.748700+0 1.258900-3 2.344100+0 1.584900-3 3.090300+0 1.995300-3 4.033500+0 2.511900-3 5.202400+0 3.162300-3 6.608200+0 3.981100-3 8.271900+0 5.011900-3 1.020300+1 6.309600-3 1.238400+1 7.943300-3 1.483800+1 1.000000-2 1.760400+1 1.258900-2 2.065700+1 1.584900-2 2.385300+1 1.995300-2 2.697400+1 2.511900-2 2.992300+1 3.162300-2 3.268000+1 3.981100-2 3.514200+1 5.011900-2 3.711800+1 6.309600-2 3.844800+1 7.943300-2 3.909900+1 1.000000-1 3.908700+1 1.258900-1 3.845500+1 1.584900-1 3.725300+1 1.995300-1 3.559300+1 2.511900-1 3.359900+1 3.162300-1 3.140800+1 3.981100-1 2.909200+1 5.011900-1 2.672800+1 6.309600-1 2.437200+1 7.943300-1 2.206900+1 1.000000+0 1.984900+1 1.258900+0 1.773000+1 1.584900+0 1.573000+1 1.995300+0 1.386200+1 2.511900+0 1.213600+1 3.162300+0 1.055800+1 3.981100+0 9.129500+0 5.011900+0 7.849600+0 6.309600+0 6.713100+0 7.943300+0 5.713800+0 1.000000+1 4.841400+0 1.258900+1 4.085600+0 1.584900+1 3.435000+0 1.995300+1 2.878500+0 2.511900+1 2.404900+0 3.162300+1 2.003700+0 3.981100+1 1.665400+0 5.011900+1 1.381100+0 6.309600+1 1.143100+0 7.943300+1 9.443600-1 1.000000+2 7.788800-1 1.258900+2 6.414300-1 1.584900+2 5.275000-1 1.995300+2 4.332500-1 2.511900+2 3.554300-1 3.162300+2 2.912700-1 3.981100+2 2.384500-1 5.011900+2 1.950200-1 6.309600+2 1.593700-1 7.943300+2 1.301300-1 1.000000+3 1.061700-1 1.258900+3 8.655700-2 1.584900+3 7.052100-2 1.995300+3 5.741900-2 2.511900+3 4.672300-2 3.162300+3 3.799700-2 3.981100+3 3.088400-2 5.011900+3 2.508900-2 6.309600+3 2.037100-2 7.943300+3 1.653300-2 1.000000+4 1.341200-2 1.258900+4 1.087500-2 1.584900+4 8.814200-3 1.995300+4 7.141200-3 2.511900+4 5.783500-3 3.162300+4 4.682100-3 3.981100+4 3.789200-3 5.011900+4 3.065400-3 6.309600+4 2.479100-3 7.943300+4 2.004300-3 1.000000+5 1.619900-3 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159557-4 3.981072-4 3.976779-4 5.011872-4 5.005120-4 6.309573-4 6.298982-4 7.943282-4 7.926721-4 1.000000-3 9.974126-4 1.258925-3 1.254893-3 1.584893-3 1.578581-3 1.995262-3 1.985353-3 2.511886-3 2.496327-3 3.162278-3 3.137843-3 3.981072-3 3.942809-3 5.011872-3 4.952119-3 6.309573-3 6.216286-3 7.943282-3 7.797695-3 1.000000-2 9.772772-3 1.258925-2 1.223520-2 1.584893-2 1.529981-2 1.995262-2 1.910643-2 2.511886-2 2.382088-2 3.162278-2 2.963845-2 3.981072-2 3.679018-2 5.011872-2 4.555102-2 6.309573-2 5.625434-2 7.943282-2 6.927018-2 1.000000-1 8.501449-2 1.258925-1 1.040236-1 1.584893-1 1.268792-1 1.995262-1 1.542515-1 2.511886-1 1.870080-1 3.162278-1 2.258498-1 3.981072-1 2.719575-1 5.011872-1 3.265153-1 6.309573-1 3.908925-1 7.943282-1 4.667826-1 1.000000+0 5.560360-1 1.258925+0 6.612669-1 1.584893+0 7.855521-1 1.995262+0 9.325867-1 2.511886+0 1.107114+0 3.162278+0 1.314795+0 3.981072+0 1.562751+0 5.011872+0 1.859603+0 6.309573+0 2.215887+0 7.943282+0 2.644262+0 1.000000+1 3.160882+0 1.258925+1 3.785077+0 1.584893+1 4.540139+0 1.995262+1 5.455427+0 2.511886+1 6.566209+0 3.162278+1 7.916218+0 3.981072+1 9.558698+0 5.011872+1 1.155959+1 6.309573+1 1.399931+1 7.943282+1 1.697695+1 1.000000+2 2.061437+1 1.258925+2 2.506168+1 1.584893+2 3.050317+1 1.995262+2 3.716685+1 2.511886+2 4.533174+1 3.162278+2 5.534426+1 3.981072+2 6.762905+1 5.011872+2 8.271246+1 6.309573+2 1.012419+2 7.943282+2 1.240178+2 1.000000+3 1.520266+2 1.258925+3 1.864905+2 1.584893+3 2.289186+2 1.995262+3 2.811768+2 2.511886+3 3.455597+2 3.162278+3 4.249296+2 3.981072+3 5.228169+2 5.011872+3 6.435771+2 6.309573+3 7.926361+2 7.943282+3 9.766707+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88192-10 1.995262-5 1.090615-9 2.511886-5 1.728481-9 3.162278-5 2.739494-9 3.981072-5 4.341862-9 5.011872-5 6.881380-9 6.309573-5 1.090595-8 7.943282-5 1.727608-8 1.000000-4 2.737233-8 1.258925-4 4.337262-8 1.584893-4 6.868090-8 1.995262-4 1.087455-7 2.511886-4 1.720680-7 3.162278-4 2.720208-7 3.981072-4 4.292776-7 5.011872-4 6.752116-7 6.309573-4 1.059163-6 7.943282-4 1.656142-6 1.000000-3 2.587442-6 1.258925-3 4.032608-6 1.584893-3 6.311849-6 1.995262-3 9.908828-6 2.511886-3 1.555984-5 3.162278-3 2.443505-5 3.981072-3 3.826235-5 5.011872-3 5.975299-5 6.309573-3 9.328705-5 7.943282-3 1.455876-4 1.000000-2 2.272280-4 1.258925-2 3.540591-4 1.584893-2 5.491265-4 1.995262-2 8.461906-4 2.511886-2 1.297984-3 3.162278-2 1.984324-3 3.981072-2 3.020536-3 5.011872-2 4.567698-3 6.309573-2 6.841393-3 7.943282-2 1.016264-2 1.000000-1 1.498551-2 1.258925-1 2.186897-2 1.584893-1 3.161014-2 1.995262-1 4.527478-2 2.511886-1 6.418061-2 3.162278-1 9.037792-2 3.981072-1 1.261496-1 5.011872-1 1.746719-1 6.309573-1 2.400649-1 7.943282-1 3.275457-1 1.000000+0 4.439640-1 1.258925+0 5.976585-1 1.584893+0 7.993411-1 1.995262+0 1.062676+0 2.511886+0 1.404772+0 3.162278+0 1.847483+0 3.981072+0 2.418320+0 5.011872+0 3.152269+0 6.309573+0 4.093687+0 7.943282+0 5.299021+0 1.000000+1 6.839118+0 1.258925+1 8.804177+0 1.584893+1 1.130879+1 1.995262+1 1.449720+1 2.511886+1 1.855266+1 3.162278+1 2.370656+1 3.981072+1 3.025202+1 5.011872+1 3.855914+1 6.309573+1 4.909643+1 7.943282+1 6.245587+1 1.000000+2 7.938563+1 1.258925+2 1.008309+2 1.584893+2 1.279861+2 1.995262+2 1.623594+2 2.511886+2 2.058569+2 3.162278+2 2.608835+2 3.981072+2 3.304781+2 5.011872+2 4.184748+2 6.309573+2 5.297155+2 7.943282+2 6.703104+2 1.000000+3 8.479734+2 1.258925+3 1.072435+3 1.584893+3 1.355975+3 1.995262+3 1.714086+3 2.511886+3 2.166327+3 3.162278+3 2.737348+3 3.981072+3 3.458255+3 5.011872+3 4.368295+3 6.309573+3 5.516937+3 7.943282+3 6.966612+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.490000-6 9.813440+6 5.688529-6 8.818544+6 6.760830-6 5.110127+6 7.000000-6 4.586830+6 7.000000-6 5.633966+6 7.244360-6 5.126806+6 7.420000-6 4.805630+6 7.673615-6 4.397085+6 7.762471-6 4.268443+6 7.920000-6 4.057630+6 8.200000-6 3.727148+6 8.290000-6 3.632075+6 8.290000-6 4.261568+6 8.330000-6 4.214713+6 8.420000-6 4.118136+6 8.609938-6 3.930414+6 8.709636-6 3.839490+6 8.912509-6 3.670594+6 9.000000-6 3.603471+6 9.015711-6 3.591891+6 9.200000-6 3.465542+6 9.350000-6 3.371539+6 9.440609-6 3.319400+6 9.700000-6 3.184010+6 1.000000-5 3.054035+6 1.010000-5 3.015536+6 1.023293-5 2.969266+6 1.050000-5 2.887715+6 1.060000-5 2.862131+6 1.100000-5 2.777478+6 1.135011-5 2.727290+6 1.150000-5 2.711005+6 1.174898-5 2.691623+6 1.202264-5 2.678981+6 1.216186-5 2.676505+6 1.258925-5 2.682544+6 1.273503-5 2.688518+6 1.310000-5 2.713412+6 1.355400-5 2.758257+6 1.365000-5 2.770133+6 1.412538-5 2.839458+6 1.440000-5 2.884764+6 1.462177-5 2.925272+6 1.513561-5 3.031862+6 1.603245-5 3.247885+6 1.610000-5 3.265883+6 1.650000-5 3.378271+6 1.737801-5 3.644466+6 1.819701-5 3.918921+6 1.883649-5 4.149183+6 1.927525-5 4.314233+6 2.137962-5 5.182607+6 2.238721-5 5.639018+6 2.350000-5 6.158454+6 2.371374-5 6.259859+6 2.389000-5 6.344284+6 2.389000-5 3.227190+7 2.400000-5 3.157826+7 2.440000-5 2.963912+7 2.454709-5 2.902156+7 2.483133-5 2.789389+7 2.540000-5 2.600077+7 2.540973-5 2.597269+7 2.600160-5 2.438645+7 2.630268-5 2.371044+7 2.650000-5 2.329504+7 2.660725-5 2.307586+7 2.730000-5 2.187148+7 2.754229-5 2.149482+7 2.818383-5 2.065921+7 2.851018-5 2.027674+7 2.884032-5 1.994362+7 2.900000-5 1.979244+7 2.985383-5 1.907230+7 3.000000-5 1.897193+7 3.054921-5 1.861713+7 3.126079-5 1.822069+7 3.150000-5 1.810474+7 3.162278-5 1.805224+7 3.230000-5 1.777975+7 3.349654-5 1.740368+7 3.388442-5 1.730162+7 3.400000-5 1.727576+7 3.514000-5 1.705634+7 3.514000-5 2.698528+7 3.548134-5 2.649597+7 3.570000-5 2.619366+7 3.589219-5 2.595065+7 3.630781-5 2.544663+7 3.672823-5 2.500285+7 3.715352-5 2.458677+7 3.758374-5 2.422216+7 3.801894-5 2.386481+7 3.900000-5 2.318525+7 3.981072-5 2.273171+7 4.027170-5 2.248197+7 4.216965-5 2.167300+7 4.220000-5 2.166254+7 4.315191-5 2.132563+7 4.415704-5 2.102088+7 4.466836-5 2.088542+7 4.472100-5 2.087129+7 4.500000-5 2.079984+7 4.677351-5 2.037363+7 4.731513-5 2.026494+7 4.786301-5 2.015587+7 4.954502-5 1.983685+7 5.011872-5 1.974555+7 5.069907-5 1.965132+7 5.080000-5 1.963566+7 5.248075-5 1.936964+7 5.300000-5 1.929599+7 5.308844-5 1.928230+7 5.432503-5 1.907643+7 5.500000-5 1.897548+7 5.506000-5 1.896682+7 5.506000-5 1.936988+7 5.559043-5 1.928711+7 5.580000-5 1.925450+7 5.660000-5 1.910414+7 5.821032-5 1.882503+7 5.900000-5 1.866804+7 6.000000-5 1.848168+7 6.070000-5 1.835793+7 6.095369-5 1.830338+7 6.309573-5 1.786972+7 6.531306-5 1.737796+7 6.580000-5 1.727641+7 6.606934-5 1.721027+7 6.760830-5 1.684573+7 6.839116-5 1.666936+7 7.079458-5 1.607138+7 7.161434-5 1.585072+7 7.244360-5 1.563454+7 7.328245-5 1.542277+7 7.585776-5 1.473429+7 7.673615-5 1.448793+7 7.852356-5 1.400988+7 7.900000-5 1.387264+7 8.035261-5 1.349544+7 8.128305-5 1.324626+7 8.150000-5 1.318939+7 8.222426-5 1.298321+7 8.413951-5 1.246252+7 8.609938-5 1.191981+7 8.709636-5 1.165818+7 9.015711-5 1.083890+7 9.120108-5 1.055449+7 9.332543-5 1.000874+7 9.500000-5 9.571871+6 9.660509-5 9.177993+6 9.885531-5 8.622235+6 9.950000-5 8.471598+6 1.000000-4 8.352514+6 1.023293-4 7.809613+6 1.030000-4 7.657207+6 1.050000-4 7.212272+6 1.059254-4 7.011430+6 1.060000-4 6.995570+6 1.083927-4 6.497533+6 1.090000-4 6.374556+6 1.096478-4 6.243386+6 1.110000-4 5.980934+6 1.120000-4 5.790867+6 1.122018-4 5.753476+6 1.135011-4 5.514422+6 1.149000-4 5.264135+6 1.149000-4 6.393360+6 1.150000-4 6.410296+6 1.154000-4 6.440187+6 1.158000-4 6.471415+6 1.162000-4 6.504257+6 1.166000-4 6.537314+6 1.170000-4 6.571044+6 1.171900-4 6.585810+6 1.174898-4 6.610582+6 1.180000-4 6.649860+6 1.185000-4 6.684950+6 1.190300-4 6.720135+6 1.195000-4 6.748896+6 1.200000-4 6.776391+6 1.205000-4 6.798251+6 1.207000-4 6.807565+6 1.212000-4 6.823017+6 1.216186-4 6.830821+6 1.218000-4 6.834455+6 1.225000-4 6.836569+6 1.230269-4 6.829372+6 1.232000-4 6.827663+6 1.240000-4 6.803265+6 1.244515-4 6.779291+6 1.247000-4 6.766770+6 1.250000-4 6.745482+6 1.252900-4 6.724625+6 1.252900-4 7.427757+6 1.255000-4 7.439416+6 1.257000-4 7.447483+6 1.260000-4 7.457483+6 1.262000-4 7.465394+6 1.266000-4 7.476557+6 1.270000-4 7.488544+6 1.273503-4 7.495027+6 1.278000-4 7.503352+6 1.280000-4 7.507939+6 1.285000-4 7.509167+6 1.288250-4 7.509690+6 1.290000-4 7.510448+6 1.292000-4 7.508337+6 1.298000-4 7.499564+6 1.300000-4 7.495662+6 1.303167-4 7.490946+6 1.305000-4 7.486066+6 1.311000-4 7.466142+6 1.315000-4 7.450457+6 1.318257-4 7.434304+6 1.325000-4 7.394413+6 1.330000-4 7.361728+6 1.331000-4 7.354353+6 1.337000-4 7.304973+6 1.343000-4 7.251627+6 1.350000-4 7.184141+6 1.358000-4 7.089781+6 1.365000-4 7.001740+6 1.373000-4 6.895128+6 1.380384-4 6.787590+6 1.384600-4 6.722546+6 1.390000-4 6.639946+6 1.391000-4 6.624686+6 1.400000-4 6.478865+6 1.402000-4 6.446431+6 1.412538-4 6.268334+6 1.414000-4 6.244210+6 1.415000-4 6.226783+6 1.428894-4 5.989520+6 1.447000-4 5.681083+6 1.450000-4 5.629979+6 1.465000-4 5.377956+6 1.470000-4 5.296614+6 1.480000-4 5.133807+6 1.500000-4 4.824612+6 1.513561-4 4.623161+6 1.540000-4 4.253089+6 1.550000-4 4.120448+6 1.566751-4 3.908275+6 1.570000-4 3.868311+6 1.580000-4 3.747833+6 1.584893-4 3.690634+6 1.603245-4 3.481786+6 1.621810-4 3.284383+6 1.640590-4 3.095641+6 1.650000-4 3.004439+6 1.678804-4 2.744343+6 1.680000-4 2.734127+6 1.698244-4 2.583429+6 1.705000-4 2.529675+6 1.717908-4 2.429933+6 1.740000-4 2.270798+6 1.760000-4 2.136862+6 1.770000-4 2.073140+6 1.800000-4 1.894696+6 1.835000-4 1.709577+6 1.840772-4 1.681145+6 1.865000-4 1.569395+6 1.883649-4 1.489517+6 1.900000-4 1.424007+6 1.905461-4 1.402919+6 1.940200-4 1.279392+6 1.950000-4 1.247166+6 1.980000-4 1.155166+6 2.018366-4 1.052913+6 2.041738-4 9.969516+5 2.050000-4 9.784642+5 2.065380-4 9.454451+5 2.070000-4 9.358560+5 2.089296-4 8.974174+5 2.093350-4 8.897278+5 2.100000-4 8.774032+5 2.113489-4 8.536793+5 2.123000-4 8.376214+5 2.137962-4 8.132900+5 2.139800-4 8.103722+5 2.145000-4 8.022634+5 2.162719-4 7.755770+5 2.165000-4 7.723357+5 2.185000-4 7.448446+5 2.187762-4 7.411742+5 2.190000-4 7.382419+5 2.200000-4 7.255229+5 2.213095-4 7.094003+5 2.215000-4 7.071139+5 2.220000-4 7.011944+5 2.230000-4 6.898826+5 2.238721-4 6.802853+5 2.247000-4 6.713924+5 2.248000-4 6.703368+5 2.252500-4 6.656336+5 2.252500-4 1.024634+6 2.263000-4 1.011076+6 2.264644-4 1.008990+6 2.280000-4 9.902057+5 2.290868-4 9.776358+5 2.297500-4 9.701363+5 2.300000-4 9.673488+5 2.310000-4 9.563372+5 2.317395-4 9.483630+5 2.325000-4 9.403254+5 2.330000-4 9.351298+5 2.340000-4 9.251325+5 2.344229-4 9.209803+5 2.355000-4 9.107913+5 2.371374-4 8.957476+5 2.380000-4 8.880887+5 2.388000-4 8.812817+5 2.398833-4 8.722677+5 2.400000-4 8.713136+5 2.410000-4 8.634934+5 2.426610-4 8.508770+5 2.430000-4 8.483654+5 2.454709-4 8.311764+5 2.458000-4 8.290139+5 2.483133-4 8.130006+5 2.511886-4 7.963650+5 2.520000-4 7.919410+5 2.540973-4 7.811324+5 2.570396-4 7.674291+5 2.580000-4 7.631623+5 2.600160-4 7.547404+5 2.630268-4 7.435004+5 2.635000-4 7.418106+5 2.660725-4 7.332487+5 2.691535-4 7.243515+5 2.722701-4 7.165319+5 2.730000-4 7.148029+5 2.754229-4 7.097420+5 2.800000-4 7.029848+5 2.818383-4 7.009214+5 2.851018-4 6.981659+5 2.880000-4 6.962817+5 2.884032-4 6.961110+5 2.950600-4 6.951847+5 2.950600-4 8.507795+5 2.951209-4 8.504207+5 2.962000-4 8.444359+5 2.969000-4 8.412486+5 2.980000-4 8.372760+5 2.995000-4 8.333933+5 3.000000-4 8.324566+5 3.009600-4 8.292995+5 3.019952-4 8.264074+5 3.030000-4 8.237426+5 3.054921-4 8.180905+5 3.065000-4 8.159308+5 3.100000-4 8.091117+5 3.126079-4 8.045137+5 3.150000-4 8.003617+5 3.151200-4 8.001680+5 3.162278-4 7.983550+5 3.180000-4 7.956645+5 3.198895-4 7.928998+5 3.273407-4 7.825727+5 3.280000-4 7.816688+5 3.311311-4 7.777409+5 3.349654-4 7.734701+5 3.350000-4 7.734313+5 3.388442-4 7.696962+5 3.390000-4 7.695441+5 3.427678-4 7.662036+5 3.507519-4 7.595305+5 3.548134-4 7.563132+5 3.589219-4 7.533599+5 3.624400-4 7.510478+5 3.624400-4 7.978823+5 3.630781-4 7.974131+5 3.650000-4 7.959257+5 3.696900-4 7.926341+5 3.758374-4 7.883533+5 3.780000-4 7.868181+5 3.801894-4 7.853458+5 3.850000-4 7.820126+5 3.890451-4 7.794246+5 3.935501-4 7.764424+5 4.000000-4 7.721856+5 4.027170-4 7.700131+5 4.120975-4 7.630404+5 4.216965-4 7.555885+5 4.265795-4 7.520561+5 4.365158-4 7.440298+5 4.415704-4 7.402063+5 4.500000-4 7.334407+5 4.518559-4 7.319622+5 4.570882-4 7.279475+5 4.571700-4 7.278768+5 4.571700-4 8.313896+5 4.572500-4 8.296262+5 4.576000-4 8.259075+5 4.579500-4 8.226958+5 4.585000-4 8.185130+5 4.591000-4 8.148182+5 4.596000-4 8.122606+5 4.603000-4 8.092931+5 4.611000-4 8.065284+5 4.619000-4 8.042871+5 4.630000-4 8.018039+5 4.641000-4 7.997927+5 4.653000-4 7.979756+5 4.668000-4 7.960915+5 4.690000-4 7.938550+5 4.700900-4 7.929778+5 4.710300-4 7.922369+5 4.710300-4 8.596991+5 4.713000-4 8.581531+5 4.719000-4 8.558476+5 4.725000-4 8.539240+5 4.731513-4 8.521830+5 4.735000-4 8.514145+5 4.740000-4 8.504437+5 4.750000-4 8.489515+5 4.757000-4 8.481937+5 4.765000-4 8.475411+5 4.772000-4 8.471798+5 4.780000-4 8.469951+5 4.786301-4 8.469883+5 4.790000-4 8.469726+5 4.800000-4 8.472763+5 4.807000-4 8.476038+5 4.823000-4 8.489711+5 4.827000-4 8.494794+5 4.840000-4 8.513292+5 4.850000-4 8.531485+5 4.852300-4 8.536394+5 4.866400-4 8.569024+5 4.870000-4 8.579037+5 4.880000-4 8.608999+5 4.890000-4 8.644284+5 4.897788-4 8.674296+5 4.910000-4 8.728795+5 4.915000-4 8.753006+5 4.925000-4 8.807702+5 4.935000-4 8.867107+5 4.940000-4 8.900271+5 4.954502-4 9.004587+5 4.955000-4 9.008297+5 4.958000-4 9.031572+5 4.970000-4 9.133623+5 4.980000-4 9.226234+5 4.985000-4 9.276284+5 5.000000-4 9.438793+5 5.011872-4 9.580209+5 5.015000-4 9.619463+5 5.030000-4 9.821454+5 5.045000-4 1.004477+6 5.060000-4 1.029104+6 5.069907-4 1.046803+6 5.080000-4 1.065837+6 5.100000-4 1.106313+6 5.110000-4 1.128552+6 5.128614-4 1.171897+6 5.135000-4 1.187975+6 5.150000-4 1.226621+6 5.160000-4 1.254026+6 5.188000-4 1.335166+6 5.190000-4 1.341381+6 5.220000-4 1.437613+6 5.220200-4 1.438272+6 5.248075-4 1.535026+6 5.253000-4 1.552590+6 5.280000-4 1.654047+6 5.300000-4 1.731640+6 5.310000-4 1.772742+6 5.339400-4 1.894710+6 5.370318-4 2.027949+6 5.400000-4 2.159493+6 5.430000-4 2.294702+6 5.432503-4 2.306258+6 5.450000-4 2.384977+6 5.465000-4 2.453872+6 5.480000-4 2.521539+6 5.495409-4 2.591548+6 5.500000-4 2.612894+6 5.510000-4 2.657576+6 5.530000-4 2.747078+6 5.540000-4 2.790948+6 5.559043-4 2.874075+6 5.560000-4 2.878336+6 5.570000-4 2.921031+6 5.590000-4 3.005617+6 5.600000-4 3.046332+6 5.635000-4 3.187852+6 5.650000-4 3.243788+6 5.670000-4 3.320266+6 5.688529-4 3.384437+6 5.705000-4 3.442690+6 5.720000-4 3.493865+6 5.740000-4 3.558363+6 5.754399-4 3.602819+6 5.760000-4 3.620268+6 5.780000-4 3.678632+6 5.800000-4 3.734135+6 5.815000-4 3.776377+6 5.821032-4 3.792316+6 5.850000-4 3.865251+6 5.888437-4 3.951380+6 5.900000-4 3.977670+6 5.956621-4 4.086755+6 6.000000-4 4.155885+6 6.030000-4 4.200273+6 6.050000-4 4.225968+6 6.095369-4 4.278835+6 6.100000-4 4.284255+6 6.165950-4 4.341015+6 6.180000-4 4.351197+6 6.200000-4 4.362314+6 6.237348-4 4.383157+6 6.240000-4 4.384636+6 6.282500-4 4.402568+6 6.309573-4 4.410199+6 6.320000-4 4.413101+6 6.382635-4 4.422781+6 6.390000-4 4.423922+6 6.430000-4 4.425492+6 6.456542-4 4.423682+6 6.531306-4 4.418482+6 6.550000-4 4.415152+6 6.606934-4 4.400425+6 6.683439-4 4.380855+6 6.700000-4 4.375389+6 6.760830-4 4.349918+6 6.839116-4 4.317553+6 6.850000-4 4.313089+6 6.918310-4 4.276152+6 7.000000-4 4.232878+6 7.079458-4 4.187605+6 7.080000-4 4.187298+6 7.161434-4 4.136891+6 7.244360-4 4.086774+6 7.300000-4 4.051236+6 7.328245-4 4.033358+6 7.498942-4 3.919794+6 7.500000-4 3.919108+6 7.585776-4 3.861229+6 7.642400-4 3.823796+6 7.673615-4 3.802184+6 7.800000-4 3.716688+6 7.852356-4 3.680793+6 8.000000-4 3.582459+6 8.128305-4 3.496327+6 8.266800-4 3.403911+6 8.266800-4 3.743173+6 8.317638-4 3.711731+6 8.413951-4 3.653525+6 8.511380-4 3.594077+6 8.609938-4 3.533941+6 8.709636-4 3.475062+6 8.730000-4 3.463256+6 8.761400-4 3.445039+6 8.779000-4 3.434895+6 8.779000-4 3.622197+6 8.850000-4 3.583221+6 8.912509-4 3.548263+6 8.950000-4 3.527009+6 9.100000-4 3.442911+6 9.120108-4 3.431663+6 9.200000-4 3.387648+6 9.332543-4 3.316917+6 9.350000-4 3.307808+6 9.430000-4 3.265545+6 9.440609-4 3.259898+6 9.600000-4 3.175208+6 9.772372-4 3.086715+6 9.885531-4 3.031045+6 1.000000-3 2.974863+6 1.011579-3 2.917004+6 1.023293-3 2.859777+6 1.047129-3 2.749085+6 1.050800-3 2.732693+6 1.059254-3 2.695349+6 1.070000-3 2.648672+6 1.071519-3 2.642186+6 1.083927-3 2.587637+6 1.096478-3 2.534266+6 1.110000-3 2.478533+6 1.117100-3 2.450066+6 1.122018-3 2.430521+6 1.135011-3 2.380102+6 1.147000-3 2.333287+6 1.147000-3 2.481767+6 1.150000-3 2.469865+6 1.155000-3 2.450129+6 1.174898-3 2.374121+6 1.188502-3 2.324010+6 1.190000-3 2.318600+6 1.202264-3 2.275037+6 1.210000-3 2.248242+6 1.216186-3 2.227078+6 1.230269-3 2.180073+6 1.244515-3 2.132956+6 1.250000-3 2.115246+6 1.273503-3 2.041417+6 1.288250-3 1.997033+6 1.303167-3 1.953681+6 1.318257-3 1.911342+6 1.333521-3 1.869408+6 1.348963-3 1.827403+6 1.350000-3 1.824636+6 1.396368-3 1.706892+6 1.412538-3 1.668726+6 1.420000-3 1.651346+6 1.428200-3 1.632446+6 1.428200-3 1.652684+6 1.428894-3 1.651098+6 1.445440-3 1.613260+6 1.450000-3 1.603047+6 1.462177-3 1.576257+6 1.500000-3 1.497496+6 1.530000-3 1.439046+6 1.531087-3 1.436985+6 1.548817-3 1.404017+6 1.570000-3 1.365828+6 1.584893-3 1.339673+6 1.595200-3 1.322028+6 1.595200-3 1.345647+6 1.603245-3 1.332009+6 1.610000-3 1.320621+6 1.640590-3 1.270969+6 1.650000-3 1.256300+6 1.659587-3 1.241550+6 1.678804-3 1.212803+6 1.690000-3 1.196338+6 1.698244-3 1.184429+6 1.700000-3 1.181889+6 1.717908-3 1.156468+6 1.730000-3 1.139695+6 1.737801-3 1.129071+6 1.757924-3 1.102193+6 1.798871-3 1.050557+6 1.819701-3 1.025755+6 1.820000-3 1.025405+6 1.840772-3 1.001540+6 1.862087-3 9.778160+5 1.883649-3 9.542765+5 1.900000-3 9.369980+5 1.905461-3 9.313374+5 1.927525-3 9.088596+5 1.972423-3 8.656348+5 2.018366-3 8.242988+5 2.041738-3 8.042535+5 2.070000-3 7.806382+5 2.113489-3 7.463258+5 2.137962-3 7.280325+5 2.162719-3 7.101166+5 2.187762-3 6.926263+5 2.213095-3 6.755083+5 2.238721-3 6.587449+5 2.264644-3 6.423255+5 2.290868-3 6.263560+5 2.317395-3 6.108251+5 2.344229-3 5.956981+5 2.350000-3 5.925184+5 2.371374-3 5.808611+5 2.398833-3 5.663888+5 2.426610-3 5.523091+5 2.450000-3 5.408104+5 2.457300-3 5.372762+5 2.511886-3 5.117958+5 2.540973-3 4.988730+5 2.570396-3 4.863070+5 2.600160-3 4.740822+5 2.630268-3 4.620233+5 2.691535-3 4.388966+5 2.722701-3 4.278110+5 2.754229-3 4.169209+5 2.786121-3 4.062472+5 2.818383-3 3.958578+5 2.851018-3 3.857083+5 2.884032-3 3.758065+5 2.900000-3 3.711521+5 2.917427-3 3.661712+5 2.951209-3 3.567904+5 3.000000-3 3.438646+5 3.019952-3 3.387595+5 3.090295-3 3.214301+5 3.126079-3 3.131297+5 3.150000-3 3.077304+5 3.162278-3 3.050108+5 3.200000-3 2.968801+5 3.235937-3 2.894312+5 3.273407-3 2.819548+5 3.311311-3 2.746871+5 3.349654-3 2.675695+5 3.388442-3 2.605694+5 3.400000-3 2.585254+5 3.467369-3 2.470618+5 3.507519-3 2.405889+5 3.548134-3 2.342998+5 3.589219-3 2.281829+5 3.630781-3 2.222306+5 3.650000-3 2.195571+5 3.672823-3 2.164154+5 3.715352-3 2.106970+5 3.758374-3 2.051195+5 3.892500-3 1.890137+5 3.892500-3 4.583311+5 3.924000-3 4.486409+5 3.935501-3 4.446192+5 3.981072-3 4.291621+5 4.000000-3 4.229583+5 4.027170-3 4.142664+5 4.060000-3 4.040687+5 4.073803-3 4.004679+5 4.103600-3 3.928207+5 4.103600-3 5.538307+5 4.120975-3 5.478803+5 4.150000-3 5.381316+5 4.168694-3 5.321438+5 4.265795-3 5.025229+5 4.315191-3 4.883323+5 4.365158-3 4.745489+5 4.370000-3 4.732428+5 4.415704-3 4.610417+5 4.466836-3 4.478817+5 4.518559-3 4.348224+5 4.570882-3 4.221274+5 4.623810-3 4.097896+5 4.685500-3 3.958320+5 4.685500-3 4.619760+5 4.786301-3 4.384024+5 4.841724-3 4.261720+5 4.897788-3 4.141646+5 4.954502-3 4.024863+5 5.011872-3 3.910622+5 5.069907-3 3.799745+5 5.128614-3 3.691162+5 5.248075-3 3.483462+5 5.308844-3 3.382934+5 5.370318-3 3.285396+5 5.432503-3 3.190628+5 5.500000-3 3.091996+5 5.559043-3 3.009256+5 5.623413-3 2.922455+5 5.688529-3 2.838218+5 5.741600-3 2.771635+5 5.741600-3 2.942359+5 5.821032-3 2.843979+5 5.825000-3 2.839189+5 5.888437-3 2.764637+5 5.956621-3 2.687664+5 6.025596-3 2.612850+5 6.095369-3 2.539200+5 6.102100-3 2.532226+5 6.102100-3 2.638601+5 6.237348-3 2.501029+5 6.290000-3 2.450297+5 6.309573-3 2.431878+5 6.382635-3 2.364802+5 6.400000-3 2.349260+5 6.450000-3 2.305188+5 6.456542-3 2.299499+5 6.531306-3 2.235935+5 6.606934-3 2.173683+5 6.683439-3 2.113302+5 6.800000-3 2.025694+5 6.839116-3 1.997351+5 6.850000-3 1.989567+5 6.918310-3 1.941562+5 7.079458-3 1.834801+5 7.150000-3 1.790759+5 7.161434-3 1.783734+5 7.244360-3 1.733931+5 7.328245-3 1.685359+5 7.413102-3 1.637838+5 7.498942-3 1.591733+5 7.500000-3 1.591177+5 7.585776-3 1.547046+5 7.673615-3 1.503659+5 7.762471-3 1.461491+5 7.800000-3 1.444199+5 7.852356-3 1.420477+5 7.943282-3 1.380515+5 8.000000-3 1.356419+5 8.035261-3 1.341673+5 8.128305-3 1.303811+5 8.222426-3 1.266813+5 8.317638-3 1.230794+5 8.511380-3 1.161446+5 8.609938-3 1.128335+5 8.709636-3 1.096107+5 8.912509-3 1.034521+5 9.000000-3 1.009513+5 9.015711-3 1.005116+5 9.120108-3 9.765778+4 9.225714-3 9.488174+4 9.300000-3 9.299538+4 9.332543-3 9.218515+4 9.549926-3 8.702404+4 9.660509-3 8.455934+4 9.800000-3 8.159400+4 9.885531-3 7.983774+4 9.900000-3 7.954384+4 1.000000-2 7.755036+4 1.011579-2 7.533169+4 1.023293-2 7.317369+4 1.035142-2 7.107276+4 1.047129-2 6.902379+4 1.059254-2 6.703327+4 1.071519-2 6.509239+4 1.083927-2 6.321058+4 1.096478-2 6.138569+4 1.122018-2 5.788703+4 1.135011-2 5.621734+4 1.148154-2 5.459691+4 1.161449-2 5.302595+4 1.174898-2 5.150154+4 1.200000-2 4.881903+4 1.202264-2 4.858714+4 1.230269-2 4.583353+4 1.258925-2 4.323375+4 1.273503-2 4.197753+4 1.288250-2 4.075853+4 1.300000-2 3.981988+4 1.303167-2 3.957212+4 1.318257-2 3.842096+4 1.333521-2 3.730198+4 1.348963-2 3.621700+4 1.350000-2 3.614576+4 1.380384-2 3.413952+4 1.396368-2 3.314445+4 1.412538-2 3.217995+4 1.428894-2 3.124417+4 1.450000-2 3.009189+4 1.462177-2 2.945398+4 1.479108-2 2.859488+4 1.500000-2 2.758396+4 1.513561-2 2.695247+4 1.548817-2 2.540484+4 1.584893-2 2.394966+4 1.603245-2 2.325000+4 1.621810-2 2.256952+4 1.640590-2 2.190709+4 1.650000-2 2.158540+4 1.659587-2 2.126328+4 1.698244-2 2.003230+4 1.717908-2 1.944356+4 1.737801-2 1.887290+4 1.757924-2 1.831975+4 1.778279-2 1.778367+4 1.798871-2 1.726347+4 1.800000-2 1.723558+4 1.819701-2 1.675705+4 1.852700-2 1.599644+4 1.852700-2 3.758332+4 1.862087-2 3.711072+4 1.865000-2 3.696572+4 1.883649-2 3.605626+4 1.890000-2 3.575266+4 1.905461-2 3.498718+4 1.950000-2 3.290397+4 1.970000-2 3.202411+4 1.972423-2 3.191772+4 1.995262-2 3.093830+4 2.018366-2 2.998946+4 2.041738-2 2.906811+4 2.065380-2 2.817535+4 2.113489-2 2.647049+4 2.137962-2 2.565761+4 2.150000-2 2.527045+4 2.187762-2 2.410651+4 2.213095-2 2.336540+4 2.238721-2 2.264686+4 2.264644-2 2.195084+4 2.290868-2 2.127658+4 2.306200-2 2.089558+4 2.306200-2 2.973912+4 2.317395-2 2.937051+4 2.318000-2 2.935074+4 2.335000-2 2.882414+4 2.344229-2 2.853412+4 2.360000-2 2.804793+4 2.371374-2 2.769859+4 2.382700-2 2.735624+4 2.382700-2 3.156842+4 2.400000-2 3.099805+4 2.420000-2 3.035659+4 2.426610-2 3.015161+4 2.430000-2 3.004721+4 2.483133-2 2.846211+4 2.511886-2 2.765861+4 2.530000-2 2.717216+4 2.540973-2 2.687908+4 2.570396-2 2.611442+4 2.580000-2 2.587151+4 2.600160-2 2.536784+4 2.630268-2 2.464899+4 2.660725-2 2.394293+4 2.691535-2 2.325679+4 2.722701-2 2.259096+4 2.754229-2 2.193907+4 2.786121-2 2.130642+4 2.818383-2 2.069007+4 2.917427-2 1.893610+4 2.951209-2 1.838610+4 2.985383-2 1.785234+4 3.000000-2 1.763134+4 3.019952-2 1.733592+4 3.054921-2 1.683381+4 3.090295-2 1.634655+4 3.162278-2 1.541435+4 3.235937-2 1.453668+4 3.273407-2 1.411411+4 3.311311-2 1.370420+4 3.388442-2 1.291541+4 3.427678-2 1.253866+4 3.467369-2 1.217276+4 3.507519-2 1.181734+4 3.548134-2 1.146981+4 3.630781-2 1.080230+4 3.672823-2 1.048335+4 3.715352-2 1.017222+4 3.758374-2 9.870446+3 3.801894-2 9.577851+3 3.890451-2 9.019048+3 3.935501-2 8.752299+3 3.981072-2 8.493360+3 4.000000-2 8.388979+3 4.027170-2 8.242282+3 4.073803-2 7.998539+3 4.120975-2 7.762182+3 4.168694-2 7.532911+3 4.216965-2 7.310542+3 4.265795-2 7.094856+3 4.315191-2 6.885514+3 4.365158-2 6.682392+3 4.400000-2 6.545723+3 4.415704-2 6.484992+3 4.466836-2 6.291548+3 4.518559-2 6.104034+3 4.570882-2 5.922068+3 4.677351-2 5.572415+3 4.731513-2 5.405590+3 4.786301-2 5.243708+3 4.897788-2 4.934664+3 5.011872-2 4.644180+3 5.069907-2 4.505354+3 5.128614-2 4.370406+3 5.248075-2 4.112723+3 5.432503-2 3.754689+3 5.495409-2 3.642562+3 5.500000-2 3.634564+3 5.559043-2 3.533352+3 5.623413-2 3.426899+3 5.754399-2 3.223729+3 5.821032-2 3.126794+3 5.888437-2 3.032244+3 5.956621-2 2.940594+3 6.000000-2 2.884288+3 6.025596-2 2.851735+3 6.095369-2 2.765564+3 6.165950-2 2.681980+3 6.309573-2 2.522433+3 6.382635-2 2.446322+3 6.531306-2 2.301053+3 6.606934-2 2.231695+3 6.839116-2 2.036145+3 6.918310-2 1.974914+3 6.928200-2 1.967400+3 7.000000-2 1.913740+3 7.161434-2 1.800291+3 7.413102-2 1.641082+3 7.498942-2 1.591255+3 7.585776-2 1.542971+3 7.673615-2 1.496180+3 7.762471-2 1.450836+3 7.852356-2 1.406861+3 7.943282-2 1.364076+3 8.035261-2 1.322610+3 8.128305-2 1.282428+3 8.317638-2 1.205755+3 8.413951-2 1.169180+3 8.609938-2 1.099372+3 8.709636-2 1.066021+3 8.912509-2 1.002210+3 9.015711-2 9.717249+2 9.225714-2 9.132645+2 9.332543-2 8.853890+2 9.549926-2 8.322072+2 9.772372-2 7.822401+2 1.035142-1 6.702392+2 1.059254-1 6.300941+2 1.071519-1 6.109464+2 1.083927-1 5.922870+2 1.148154-1 5.072963+2 1.161449-1 4.918441+2 1.174898-1 4.768695+2 1.188502-1 4.623585+2 1.216186-1 4.346660+2 1.230269-1 4.214566+2 1.244515-1 4.086555+2 1.255700-1 3.989770+2 1.255700-1 1.639321+3 1.270000-1 1.594983+3 1.273503-1 1.582935+3 1.275000-1 1.577824+3 1.283000-1 1.555546+3 1.288250-1 1.538558+3 1.297000-1 1.510778+3 1.320000-1 1.449221+3 1.333521-1 1.410823+3 1.348963-1 1.368671+3 1.350000-1 1.365903+3 1.364583-1 1.329998+3 1.380384-1 1.292579+3 1.396368-1 1.256218+3 1.412538-1 1.220884+3 1.428894-1 1.186549+3 1.462177-1 1.118648+3 1.479108-1 1.086175+3 1.531088-1 9.943242+2 1.548817-1 9.654746+2 1.566751-1 9.374662+2 1.584893-1 9.102732+2 1.603245-1 8.841199+2 1.621810-1 8.587205+2 1.659587-1 8.100840+2 1.717908-1 7.422595+2 1.737801-1 7.209420+2 1.757924-1 7.002395+2 1.778279-1 6.801348+2 1.800000-1 6.595725+2 1.819701-1 6.415127+2 1.840772-1 6.229517+2 1.862087-1 6.049298+2 1.949845-1 5.379225+2 1.972423-1 5.223706+2 2.000000-1 5.042141+2 2.018366-1 4.926093+2 2.041738-1 4.784416+2 2.065380-1 4.646830+2 2.089296-1 4.513212+2 2.113489-1 4.383447+2 2.137962-1 4.257427+2 2.162719-1 4.135039+2 2.187762-1 4.016183+2 2.213095-1 3.900754+2 2.238721-1 3.788658+2 2.264644-1 3.679873+2 2.290868-1 3.574217+2 2.317395-1 3.471607+2 2.371374-1 3.275163+2 2.398833-1 3.181162+2 2.400000-1 3.177251+2 2.426610-1 3.089926+2 2.454709-1 3.001315+2 2.483133-1 2.915264+2 2.511886-1 2.831686+2 2.540973-1 2.750509+2 2.570396-1 2.672365+2 2.600160-1 2.596447+2 2.630268-1 2.522704+2 2.691535-1 2.381597+2 2.710800-1 2.339516+2 2.722701-1 2.314071+2 2.786121-1 2.184827+2 2.818383-1 2.122945+2 2.851018-1 2.062826+2 2.851700-1 2.061596+2 2.884032-1 2.004449+2 2.917427-1 1.947738+2 2.951209-1 1.892634+2 3.000060-1 1.816746+2 3.019952-1 1.787462+2 3.054921-1 1.737572+2 3.090295-1 1.689078+2 3.126079-1 1.641982+2 3.162278-1 1.596211+2 3.198895-1 1.551720+2 3.235937-1 1.508472+2 3.273407-1 1.466448+2 3.311311-1 1.425622+2 3.349654-1 1.385941+2 3.388442-1 1.347366+2 3.427678-1 1.309925+2 3.467369-1 1.273529+2 3.507519-1 1.238146+2 3.548134-1 1.203749+2 3.589219-1 1.170817+2 3.672823-1 1.107696+2 3.715352-1 1.077433+2 3.758374-1 1.048015+2 3.801894-1 1.019407+2 3.845918-1 9.915833+1 3.890451-1 9.645209+1 3.981072-1 9.126146+1 4.027170-1 8.877209+1 4.073803-1 8.635078+1 4.120975-1 8.404509+1 4.168694-1 8.180356+1 4.216965-1 7.962324+1 4.265795-1 7.750165+1 4.315191-1 7.543698+1 4.415705-1 7.147191+1 4.466836-1 6.956839+1 4.518559-1 6.771570+1 4.570882-1 6.591239+1 4.623810-1 6.415722+1 4.677351-1 6.244964+1 4.731513-1 6.082003+1 4.786301-1 5.923309+1 4.841724-1 5.769132+1 4.897788-1 5.619044+1 4.954502-1 5.472865+1 5.011872-1 5.330507+1 5.069907-1 5.191857+1 5.188000-1 4.925307+1 5.248075-1 4.797214+1 5.308844-1 4.672665+1 5.370318-1 4.551411+1 5.432503-1 4.435577+1 5.495409-1 4.322701+1 5.559043-1 4.212735+1 5.623413-1 4.105815+1 5.688529-1 4.001620+1 5.754399-1 3.900073+1 5.821032-1 3.801108+1 5.888437-1 3.704717+1 5.956621-1 3.610879+1 6.000000-1 3.552963+1 6.025596-1 3.519425+1 6.095369-1 3.430305+1 6.165950-1 3.345407+1 6.309573-1 3.182000+1 6.382635-1 3.103321+1 6.456542-1 3.026598+1 6.531306-1 2.952003+1 6.606935-1 2.879249+1 6.683439-1 2.808374+1 6.839117-1 2.671846+1 6.918310-1 2.606094+1 6.998420-1 2.541980+1 7.079458-1 2.480686+1 7.161434-1 2.420874+1 7.244360-1 2.362575+1 7.328245-1 2.305688+1 7.413102-1 2.250173+1 7.498942-1 2.196006+1 7.585776-1 2.143284+1 7.673615-1 2.091830+1 7.762471-1 2.041675+1 7.852356-1 1.992733+1 7.943282-1 1.944966+1 8.000000-1 1.916020+1 8.035261-1 1.898344+1 8.128305-1 1.853727+1 8.222427-1 1.810159+1 8.317638-1 1.767618+1 8.413951-1 1.726102+1 8.511380-1 1.685619+1 8.609938-1 1.646087+1 8.709636-1 1.607590+1 8.810489-1 1.570056+1 8.912509-1 1.533402+1 9.015711-1 1.497604+1 9.120108-1 1.462642+1 9.225714-1 1.428499+1 9.332543-1 1.395205+1 9.440609-1 1.362725+1 9.549926-1 1.331815+1 9.660509-1 1.301610+1 9.772372-1 1.272091+1 9.885531-1 1.243323+1 1.000000+0 1.215242+1 1.011579+0 1.187839+1 1.023293+0 1.161053+1 1.035142+0 1.134881+1 1.047129+0 1.109297+1 1.059254+0 1.084293+1 1.071519+0 1.059882+1 1.083927+0 1.036359+1 1.096478+0 1.013360+1 1.109175+0 9.908698+0 1.122018+0 9.688813+0 1.135011+0 9.473883+0 1.148154+0 9.263977+0 1.161449+0 9.058997+0 1.174898+0 8.858555+0 1.188502+0 8.662559+0 1.202264+0 8.470947+0 1.216186+0 8.284086+0 1.230269+0 8.101352+0 1.250000+0 7.855438+0 1.258925+0 7.750849+0 1.273503+0 7.584768+0 1.303167+0 7.263553+0 1.318257+0 7.108098+0 1.333521+0 6.955979+0 1.348963+0 6.807141+0 1.364583+0 6.661942+0 1.380384+0 6.519839+0 1.412538+0 6.244837+0 1.428894+0 6.115083+0 1.445440+0 5.988058+0 1.479108+0 5.742056+0 1.500000+0 5.597194+0 1.513561+0 5.506172+0 1.531087+0 5.391923+0 1.548817+0 5.280427+0 1.584893+0 5.064320+0 1.603245+0 4.962280+0 1.621810+0 4.862294+0 1.640590+0 4.764394+0 1.659587+0 4.668580+0 1.698244+0 4.482744+0 1.717908+0 4.392630+0 1.737801+0 4.304344+0 1.778279+0 4.133714+0 1.798871+0 4.050950+0 1.819701+0 3.971841+0 1.840772+0 3.894278+0 1.862087+0 3.818285+0 1.883649+0 3.743775+0 1.905461+0 3.670804+0 1.927525+0 3.599278+0 1.949845+0 3.529145+0 1.972423+0 3.460385+0 1.995262+0 3.393022+0 2.044000+0 3.256483+0 2.065380+0 3.199320+0 2.089296+0 3.138828+0 2.113489+0 3.079481+0 2.137962+0 3.021300+0 2.162719+0 2.964289+0 2.213095+0 2.853511+0 2.238721+0 2.799690+0 2.264644+0 2.746928+0 2.317395+0 2.644715+0 2.344229+0 2.595045+0 2.371374+0 2.547576+0 2.398833+0 2.500976+0 2.426610+0 2.455263+0 2.454709+0 2.410440+0 2.483133+0 2.366437+0 2.540973+0 2.280853+0 2.570396+0 2.239233+0 2.600160+0 2.198406+0 2.660725+0 2.119245+0 2.691535+0 2.080740+0 2.722701+0 2.043927+0 2.754229+0 2.007766+0 2.786121+0 1.972271+0 2.818383+0 1.937447+0 2.851018+0 1.903240+0 2.917427+0 1.836644+0 2.951209+0 1.804228+0 3.000000+0 1.759081+0 3.090295+0 1.680529+0 3.126079+0 1.650986+0 3.162278+0 1.622698+0 3.198895+0 1.594896+0 3.273407+0 1.540752+0 3.311311+0 1.514407+0 3.388442+0 1.463076+0 3.427678+0 1.438069+0 3.467369+0 1.413510+0 3.589219+0 1.342559+0 3.630781+0 1.319709+0 3.672823+0 1.297836+0 3.715352+0 1.276327+0 3.801894+0 1.234402+0 3.845918+0 1.213985+0 3.935501+0 1.174171+0 4.000000+0 1.146853+0 4.027170+0 1.135676+0 4.168694+0 1.080512+0 4.216965+0 1.062727+0 4.265795+0 1.045690+0 4.315191+0 1.028927+0 4.415704+0 9.962263-1 4.466836+0 9.802873-1 4.623810+0 9.339985-1 4.677351+0 9.190612-1 4.731513+0 9.043745-1 4.897788+0 8.618499-1 4.954502+0 8.481240-1 5.011872+0 8.349559-1 5.069907+0 8.219922-1 5.188000+0 7.966839-1 5.248075+0 7.843380-1 5.308844+0 7.721840-1 5.495409+0 7.368506-1 5.559043+0 7.254367-1 5.623413+0 7.142092-1 5.821032+0 6.816663-1 5.888437+0 6.711516-1 5.956621+0 6.610647-1 6.025596+0 6.511293-1 6.165950+0 6.317187-1 6.237348+0 6.222430-1 6.309573+0 6.129095-1 6.531306+0 5.857489-1 6.606934+0 5.769664-1 6.683439+0 5.683226-1 6.918310+0 5.432425-1 7.000000+0 5.349731-1 7.079458+0 5.273381-1 7.161434+0 5.196627-1 7.328245+0 5.046563-1 7.498942+0 4.901001-1 7.585776+0 4.829803-1 7.852356+0 4.622418-1 7.943282+0 4.555292-1 8.035261+0 4.489192-1 8.413951+0 4.235019-1 8.511380+0 4.173757-1 8.609938+0 4.114844-1 8.709636+0 4.056764-1 8.912509+0 3.943131-1 9.120108+0 3.832805-1 9.225714+0 3.778806-1 9.549926+0 3.621376-1 9.660509+0 3.570375-1 9.772372+0 3.520133-1 1.023293+1 3.326770-1 1.035142+1 3.280114-1 1.047129+1 3.235237-1 1.059254+1 3.190978-1 1.071519+1 3.147355-1 1.100000+1 3.050272-1 1.122018+1 2.978919-1 1.174898+1 2.819536-1 1.188502+1 2.781046-1 1.202264+1 2.743081-1 1.216186+1 2.705658-1 1.230269+1 2.668848-1 1.288250+1 2.526566-1 1.303167+1 2.492197-1 1.318257+1 2.459047-1 1.333521+1 2.426339-1 1.348963+1 2.394085-1 1.380384+1 2.330930-1 1.396368+1 2.299981-1 1.412538+1 2.269441-1 1.479108+1 2.151323-1 1.500000+1 2.116587-1 1.513561+1 2.094609-1 1.584893+1 1.985978-1 1.603245+1 1.959713-1 1.621810+1 1.934276-1 1.640590+1 1.909169-1 1.659587+1 1.884389-1 1.698244+1 1.835815-1 1.800000+1 1.718673-1 1.819701+1 1.697605-1 1.862087+1 1.653888-1 1.927525+1 1.590430-1 1.949845+1 1.569827-1 2.018366+1 1.509789-1 2.041738+1 1.490291-1 2.065380+1 1.471401-1 2.089296+1 1.452752-1 2.113489+1 1.434338-1 2.137962+1 1.416158-1 2.213095+1 1.363016-1 2.400000+1 1.246073-1 2.426610+1 1.230964-1 2.511886+1 1.184813-1 2.570396+1 1.155018-1 2.600160+1 1.140406-1 2.630268+1 1.126025-1 2.660725+1 1.111826-1 2.691535+1 1.098064-1 2.722701+1 1.084474-1 2.754229+1 1.071057-1 3.311311+1 8.777467-2 3.427678+1 8.455927-2 3.548134+1 8.146167-2 3.630781+1 7.946031-2 3.672823+1 7.848052-2 3.715352+1 7.752962-2 4.786301+1 5.931251-2 4.954502+1 5.718531-2 5.188000+1 5.446725-2 5.308844+1 5.315727-2 5.370318+1 5.251424-2 5.432503+1 5.188034-2 5.495409+1 5.126323-2 7.413102+1 3.756471-2 7.585776+1 3.667697-2 8.128305+1 3.413767-2 8.317638+1 3.333104-2 8.413951+1 3.293494-2 8.511380+1 3.254423-2 8.609938+1 3.215819-2 8.709636+1 3.178160-2 1.258925+2 2.180077-2 1.288250+2 2.129315-2 1.412538+2 1.937824-2 1.428894+2 1.915134-2 1.479108+2 1.848646-2 1.500000+2 1.822310-2 1.513561+2 1.805610-2 1.548817+2 1.763629-2 1.566751+2 1.743007-2 1.584893+2 1.722801-2 1.621810+2 1.683104-2 2.483133+2 1.093492-2 2.540973+2 1.068296-2 2.722701+2 9.961386-3 2.851018+2 9.507647-3 2.884032+2 9.397477-3 2.917427+2 9.288593-3 2.951209+2 9.180971-3 3.019952+2 8.969604-3 3.054921+2 8.865755-3 3.090295+2 8.763108-3 3.126079+2 8.662119-3 3.162278+2 8.562306-3 3.235937+2 8.366163-3 4.954502+2 5.449228-3 5.069907+2 5.324400-3 5.432503+2 4.966810-3 5.688529+2 4.741871-3 5.754399+2 4.687247-3 5.821032+2 4.633254-3 5.888437+2 4.579882-3 6.025596+2 4.475036-3 6.095369+2 4.423517-3 6.165950+2 4.372591-3 6.237348+2 4.322435-3 6.309573+2 4.272860-3 6.456542+2 4.175424-3 1.972423+3 1.364035-3 4.027170+3 6.672170-4 4.315191+3 6.226055-4 4.518559+3 5.945349-4 4.570882+3 5.877172-4 4.623810+3 5.809779-4 4.677351+3 5.743158-4 4.786301+3 5.612226-4 4.841724+3 5.547883-4 4.897788+3 5.484279-4 4.954502+3 5.421487-4 5.011872+3 5.359416-4 5.128614+3 5.237405-4 1.000000+5 2.685022-5 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.490000-6 5.490000-6 7.000000-6 5.490000-6 7.000000-6 5.770650-6 8.290000-6 5.868604-6 8.290000-6 6.226277-6 9.700000-6 6.424207-6 1.216186-5 6.813483-6 1.365000-5 7.004974-6 1.513561-5 7.145746-6 1.650000-5 7.237958-6 1.883649-5 7.338052-6 2.238721-5 7.415633-6 2.389000-5 7.435841-6 2.389000-5 2.065530-5 2.754229-5 1.767302-5 2.900000-5 1.655472-5 3.000000-5 1.582773-5 3.162278-5 1.474968-5 3.230000-5 1.434108-5 3.388442-5 1.345812-5 3.514000-5 1.284819-5 3.514000-5 2.105022-5 3.630781-5 1.999904-5 3.758374-5 1.898890-5 3.900000-5 1.800709-5 4.027170-5 1.722242-5 4.220000-5 1.617135-5 4.415704-5 1.525232-5 4.500000-5 1.488781-5 4.731513-5 1.399983-5 4.954502-5 1.326527-5 5.080000-5 1.289678-5 5.308844-5 1.230326-5 5.506000-5 1.186355-5 5.506000-5 1.276240-5 5.821032-5 1.207235-5 6.095369-5 1.157497-5 6.309573-5 1.124850-5 6.606934-5 1.087713-5 6.839116-5 1.063781-5 7.161434-5 1.037402-5 7.328245-5 1.026084-5 7.673615-5 1.007310-5 8.128305-5 9.892779-6 8.609938-5 9.771850-6 9.120108-5 9.700166-6 9.660509-5 9.675954-6 1.030000-4 9.714206-6 1.096478-4 9.822218-6 1.149000-4 9.956968-6 1.149000-4 2.849250-5 1.150000-4 2.900689-5 1.162000-4 3.361691-5 1.174898-4 3.832593-5 1.185000-4 4.177122-5 1.195000-4 4.492797-5 1.205000-4 4.777793-5 1.212000-4 4.964254-5 1.218000-4 5.110886-5 1.225000-4 5.269070-5 1.232000-4 5.412600-5 1.244515-4 5.633667-5 1.252900-4 5.761166-5 1.252900-4 6.401829-5 1.266000-4 6.696069-5 1.285000-4 7.075706-5 1.305000-4 7.422998-5 1.325000-4 7.711119-5 1.343000-4 7.923123-5 1.365000-4 8.126712-5 1.391000-4 8.298609-5 1.415000-4 8.412650-5 1.450000-4 8.534738-5 1.603245-4 8.922943-5 1.770000-4 9.305898-5 1.905461-4 9.568695-5 1.980000-4 9.671796-5 2.065380-4 9.736890-5 2.145000-4 9.724284-5 2.230000-4 9.632594-5 2.252500-4 9.597681-5 2.252500-4 1.082934-4 2.355000-4 1.075303-4 2.483133-4 1.057744-4 2.630268-4 1.029286-4 2.754229-4 9.984113-5 2.884032-4 9.602663-5 2.950600-4 9.383912-5 2.950600-4 1.111036-4 2.980000-4 1.089220-4 3.000000-4 1.077661-4 3.065000-4 1.057923-4 3.280000-4 1.003545-4 3.427678-4 9.717370-5 3.589219-4 9.423817-5 3.624400-4 9.369127-5 3.624400-4 1.003294-4 3.801894-4 9.788384-5 4.027170-4 9.548695-5 4.265795-4 9.378930-5 4.518559-4 9.263536-5 4.571700-4 9.244697-5 4.571700-4 1.037438-4 4.579500-4 1.029591-4 4.596000-4 1.020453-4 4.619000-4 1.014040-4 4.668000-4 1.009082-4 4.710300-4 1.008029-4 4.710300-4 1.074587-4 4.735000-4 1.068627-4 4.780000-4 1.067652-4 4.827000-4 1.073384-4 4.870000-4 1.084099-4 4.915000-4 1.102478-4 4.958000-4 1.128370-4 5.000000-4 1.161961-4 5.045000-4 1.205905-4 5.128614-4 1.301329-4 5.220200-4 1.405657-4 5.280000-4 1.465195-4 5.339400-4 1.515396-4 5.400000-4 1.557540-4 5.480000-4 1.600859-4 5.570000-4 1.636516-4 5.670000-4 1.663891-4 5.815000-4 1.688910-4 6.000000-4 1.706913-4 6.309573-4 1.720917-4 6.918310-4 1.729134-4 8.266800-4 1.729030-4 8.266800-4 1.854647-4 8.779000-4 1.870328-4 8.779000-4 1.936949-4 1.000000-3 1.986418-4 1.147000-3 2.030600-4 1.147000-3 2.147295-4 1.428200-3 2.235943-4 1.428200-3 2.264993-4 1.595200-3 2.316540-4 1.595200-3 2.362820-4 1.927525-3 2.461580-4 2.317395-3 2.557041-4 2.786121-3 2.652313-4 3.400000-3 2.751382-4 3.892500-3 2.816481-4 3.892500-3 4.081017-4 4.103600-3 4.063359-4 4.103600-3 4.315862-4 4.685500-3 4.319514-4 4.685500-3 4.629918-4 5.741600-3 4.680771-4 5.741600-3 4.847282-4 6.102100-3 4.876437-4 6.102100-3 5.021618-4 8.128305-3 5.205430-4 1.047129-2 5.373867-4 1.333521-2 5.533907-4 1.698244-2 5.689825-4 1.852700-2 5.744007-4 1.852700-2 6.853004-4 2.306200-2 6.895668-4 2.306200-2 7.269532-4 2.382700-2 7.277966-4 2.382700-2 7.785138-4 3.311311-2 7.978055-4 4.570882-2 8.160533-4 6.382635-2 8.341911-4 8.709636-2 8.502131-4 1.188502-1 8.649087-4 1.255700-1 8.673812-4 1.255700-1 7.961142-4 3.054921-1 8.011385-4 8.413951-1 8.036709-4 1.000000+5 8.038708-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.490000-6 0.0 2.252500-4 0.0 2.252500-4 1.772307-9 2.310000-4 1.821077-9 2.371374-4 1.861459-9 2.430000-4 1.889734-9 2.483133-4 1.906580-9 2.540973-4 1.916179-9 2.600160-4 1.916793-9 2.660725-4 1.906926-9 2.730000-4 1.883179-9 2.818383-4 1.842134-9 2.884032-4 1.802598-9 2.950600-4 1.754590-9 2.950600-4 4.767512-9 2.962000-4 4.653138-9 2.969000-4 4.592607-9 2.980000-4 4.512312-9 3.000000-4 4.400454-9 3.019952-4 4.328193-9 3.054921-4 4.227411-9 3.198895-4 3.870934-9 3.311311-4 3.605019-9 3.350000-4 3.517704-9 3.427678-4 3.359860-9 3.548134-4 3.135546-9 3.589219-4 3.063892-9 3.624400-4 3.009410-9 3.624400-4 3.403546-9 3.758374-4 3.214710-9 3.890451-4 3.052497-9 4.027170-4 2.904666-9 4.120975-4 2.818206-9 4.265795-4 2.699679-9 4.415704-4 2.597451-9 4.571700-4 2.507922-9 4.571700-4 1.598593-8 4.572500-4 1.579314-8 4.576000-4 1.540360-8 4.579500-4 1.506946-8 4.585000-4 1.464054-8 4.591000-4 1.427035-8 4.596000-4 1.402129-8 4.603000-4 1.374328-8 4.611000-4 1.349838-8 4.619000-4 1.331492-8 4.630000-4 1.313338-8 4.641000-4 1.300783-8 4.653000-4 1.291566-8 4.668000-4 1.284651-8 4.690000-4 1.280749-8 4.710300-4 1.282287-8 4.710300-4 1.544643-8 4.719000-4 1.534959-8 4.735000-4 1.527364-8 4.757000-4 1.531587-8 4.772000-4 1.541712-8 4.790000-4 1.561517-8 4.807000-4 1.588061-8 4.827000-4 1.630395-8 4.840000-4 1.663646-8 4.852300-4 1.701224-8 4.870000-4 1.764686-8 4.880000-4 1.805548-8 4.897788-4 1.889090-8 4.915000-4 1.983032-8 4.935000-4 2.109248-8 4.958000-4 2.277366-8 4.980000-4 2.461008-8 5.000000-4 2.647231-8 5.015000-4 2.795299-8 5.030000-4 2.951950-8 5.060000-4 3.283457-8 5.135000-4 4.159994-8 5.160000-4 4.443626-8 5.190000-4 4.767945-8 5.220200-4 5.072070-8 5.253000-4 5.372086-8 5.280000-4 5.598185-8 5.310000-4 5.823537-8 5.339400-4 6.020421-8 5.370318-4 6.203394-8 5.400000-4 6.357381-8 5.432503-4 6.503621-8 5.480000-4 6.677569-8 5.530000-4 6.823996-8 5.590000-4 6.951970-8 5.670000-4 7.067406-8 5.760000-4 7.152669-8 5.900000-4 7.232216-8 6.100000-4 7.287896-8 6.531306-4 7.322161-8 7.328245-4 7.310328-8 8.266800-4 7.259436-8 8.266800-4 7.451570-8 8.779000-4 7.448673-8 8.779000-4 9.065909-8 1.000000-3 9.601102-8 1.117100-3 9.957993-8 1.147000-3 1.004451-7 1.147000-3 1.313677-7 1.428200-3 1.438571-7 1.428200-3 1.511350-7 1.595200-3 1.594144-7 1.595200-3 1.736300-7 1.840772-3 1.872036-7 2.070000-3 1.989759-7 2.371374-3 2.129440-7 2.691535-3 2.266453-7 2.951209-3 2.366618-7 3.400000-3 2.525596-7 3.892500-3 2.679646-7 3.892500-3 3.103340-7 4.103600-3 3.119962-7 4.103600-3 6.004868-5 4.415704-3 6.069230-5 4.518559-3 6.071521-5 4.685500-3 6.064247-5 4.685500-3 6.184279-5 5.011872-3 6.175701-5 5.741600-3 6.130209-5 5.741600-3 6.848463-5 6.102100-3 6.895155-5 6.102100-3 7.034275-5 7.762471-3 7.243167-5 9.549926-3 7.419212-5 1.083927-2 7.529120-5 1.318257-2 7.698173-5 1.659587-2 7.885094-5 1.852700-2 7.971822-5 1.852700-2 4.271719-3 1.905461-2 4.275214-3 2.306200-2 4.217045-3 2.306200-2 6.385755-3 2.382700-2 6.404193-3 2.382700-2 6.705999-3 2.818383-2 6.776519-3 3.548134-2 6.851045-3 4.786301-2 6.910801-3 7.000000-2 6.957696-3 1.255700-1 6.985556-3 1.255700-1 8.752361-2 1.479108-1 8.822975-2 2.018366-1 8.914066-2 3.126079-1 9.002960-2 5.821032-1 9.107228-2 9.332543-1 9.174218-2 1.000000+5 9.178936-2 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.490000-6 0.0 7.000000-6 1.510000-6 7.000000-6 1.229350-6 7.673615-6 1.857540-6 8.290000-6 2.421396-6 8.290000-6 2.063723-6 8.912509-6 2.604914-6 1.000000-5 3.528240-6 1.216186-5 5.348377-6 1.355400-5 6.559735-6 1.513561-5 7.989864-6 1.650000-5 9.262042-6 1.927525-5 1.192414-5 2.389000-5 1.645416-5 2.389000-5 3.234698-6 2.400000-5 3.443133-6 2.660725-5 8.183745-6 2.818383-5 1.101226-5 2.985383-5 1.392354-5 3.162278-5 1.687310-5 3.349654-5 1.983336-5 3.514000-5 2.229181-5 3.514000-5 1.408978-5 3.589219-5 1.553323-5 3.715352-5 1.783941-5 3.801894-5 1.934525-5 3.900000-5 2.099291-5 4.027170-5 2.304928-5 4.220000-5 2.602865-5 4.500000-5 3.011219-5 4.786301-5 3.405515-5 5.080000-5 3.790322-5 5.506000-5 4.319645-5 5.506000-5 4.229760-5 6.000000-5 4.826195-5 6.606934-5 5.519221-5 7.328245-5 6.302161-5 8.609938-5 7.632753-5 1.060000-4 9.624518-5 1.149000-4 1.049430-4 1.149000-4 8.640750-5 1.150000-4 8.599311-5 1.170000-4 8.042691-5 1.185000-4 7.672878-5 1.200000-4 7.360066-5 1.212000-4 7.155746-5 1.225000-4 6.980930-5 1.232000-4 6.907400-5 1.247000-4 6.795313-5 1.252900-4 6.767834-5 1.252900-4 6.127171-5 1.266000-4 5.963931-5 1.285000-4 5.774294-5 1.300000-4 5.659268-5 1.315000-4 5.577144-5 1.331000-4 5.522087-5 1.350000-4 5.505954-5 1.365000-4 5.523288-5 1.380384-4 5.567877-5 1.402000-4 5.663366-5 1.428894-4 5.823159-5 1.470000-4 6.108362-5 1.650000-4 7.465663-5 1.800000-4 8.631340-5 1.905461-4 9.485915-5 1.980000-4 1.012820-4 2.065380-4 1.091691-4 2.145000-4 1.172572-4 2.248000-4 1.287465-4 2.252500-4 1.292732-4 2.252500-4 1.169548-4 2.371374-4 1.297830-4 2.520000-4 1.468681-4 2.691535-4 1.676640-4 2.884032-4 1.923748-4 2.950600-4 2.012191-4 2.950600-4 1.839516-4 2.995000-4 1.914608-4 3.065000-4 2.007035-4 3.350000-4 2.362336-4 3.624400-4 2.687457-4 3.624400-4 2.621072-4 4.000000-4 3.042815-4 4.500000-4 3.572914-4 4.571700-4 3.647205-4 4.571700-4 3.534103-4 4.603000-4 3.584890-4 4.710300-4 3.702143-4 4.710300-4 3.635559-4 4.780000-4 3.712193-4 4.880000-4 3.792341-4 4.958000-4 3.829402-4 5.030000-4 3.839270-4 5.253000-4 3.813189-4 5.339400-4 3.823402-4 5.450000-4 3.863296-4 5.590000-4 3.946420-4 5.780000-4 4.095315-4 6.100000-4 4.386224-4 7.000000-4 5.269734-4 8.266800-4 6.537044-4 8.266800-4 6.411407-4 8.779000-4 6.907927-4 8.779000-4 6.841144-4 1.147000-3 9.438395-4 1.147000-3 9.321391-4 1.428200-3 1.204462-3 1.428200-3 1.201550-3 1.595200-3 1.363387-3 1.595200-3 1.358744-3 2.630268-3 2.367760-3 3.892500-3 3.610584-3 3.892500-3 3.484088-3 4.103600-3 3.696952-3 4.103600-3 3.611965-3 4.685500-3 4.192906-3 4.685500-3 4.160665-3 5.741600-3 5.212221-3 5.741600-3 5.188387-3 6.102100-3 5.545505-3 6.102100-3 5.529595-3 1.659587-2 1.594951-2 1.852700-2 1.787288-2 1.852700-2 1.356998-2 2.306200-2 1.815539-2 2.306200-2 1.594929-2 2.382700-2 1.669501-2 2.382700-2 1.634249-2 3.672823-2 2.906582-2 9.772372-2 8.989094-2 1.255700-1 1.177171-1 1.255700-1 3.725027-2 1.288250-1 4.037317-2 1.333521-1 4.474132-2 1.479108-1 5.888392-2 2.018366-1 1.118969-1 3.890451-1 2.978464-1 1.548817+0 1.456227+0 1.000000+5 9.999991+4 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.255700-1 1.240344+3 1.270000-1 1.207922+3 1.275000-1 1.194814+3 1.283000-1 1.178900+3 1.297000-1 1.144950+3 1.320000-1 1.100278+3 1.350000-1 1.037402+3 1.428894-1 9.044710+2 1.584893-1 6.964766+2 1.800000-1 5.073040+2 2.018366-1 3.801987+2 2.540973-1 2.135795+2 3.000060-1 1.415862+2 3.548134-1 9.414184+1 4.073803-1 6.772286+1 4.677351-1 4.912052+1 5.370318-1 3.589525+1 6.095369-1 2.711665+1 6.998420-1 2.014784+1 8.035261-1 1.508388+1 9.440609-1 1.085140+1 1.071519+0 8.445414+0 1.250000+0 6.260038+0 1.412538+0 4.975394+0 1.584893+0 4.034067+0 1.798871+0 3.226878+0 2.065380+0 2.548570+0 2.344229+0 2.067192+0 2.691535+0 1.657509+0 3.126079+0 1.315159+0 3.630781+0 1.051267+0 4.216965+0 8.465627-1 4.954502+0 6.756135-1 5.888437+0 5.346364-1 7.000000+0 4.261600-1 8.511380+0 3.324804-1 1.035142+1 2.612935-1 1.303167+1 1.985303-1 1.603245+1 1.561171-1 2.041738+1 1.187206-1 2.660725+1 8.857598-2 3.672823+1 6.252486-2 5.432503+1 4.133285-2 8.609938+1 2.562018-2 1.566751+2 1.388631-2 3.090295+2 6.981576-3 6.165950+2 3.483615-3 4.897788+3 4.369382-4 1.000000+5 2.139200-5 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.255700-1 7.731900-4 1.000000+5 7.731900-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.255700-1 1.134300-1 1.000000+5 1.134300-1 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.255700-1 1.136681-2 1.000000+5 9.999989+4 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.382700-2 4.212172+3 2.420000-2 4.086932+3 2.483133-2 3.913412+3 2.530000-2 3.799860+3 2.600160-2 3.612972+3 2.722701-2 3.350345+3 2.786121-2 3.216212+3 2.985383-2 2.833104+3 3.311311-2 2.354471+3 3.672823-2 1.935626+3 4.570882-2 1.257247+3 5.069907-2 1.016204+3 5.821032-2 7.617501+2 6.928200-2 5.233017+2 7.852356-2 3.967804+2 9.015711-2 2.908408+2 1.071519-1 1.956777+2 1.288250-1 1.272118+2 1.621810-1 7.366034+1 2.710800-1 2.153037+1 3.388442-1 1.271521+1 4.073803-1 8.291150+0 4.786301-1 5.745005+0 5.559043-1 4.119594+0 6.456542-1 2.975974+0 7.498942-1 2.166436+0 8.609938-1 1.628312+0 9.772372-1 1.262390+0 1.202264+0 8.414949-1 1.348963+0 6.759818-1 1.531087+0 5.352188-1 1.737801+0 4.272520-1 1.995262+0 3.368096-1 2.264644+0 2.726890-1 2.600160+0 2.182250-1 3.000000+0 1.746000-1 3.467369+0 1.402825-1 4.027170+0 1.127075-1 4.731513+0 8.975696-2 5.623413+0 7.088317-2 6.683439+0 5.640701-2 8.035261+0 4.455300-2 9.772372+0 3.493445-2 1.216186+1 2.685165-2 1.513561+1 2.078840-2 1.949845+1 1.558250-2 2.600160+1 1.132124-2 3.630781+1 7.890565-3 5.370318+1 5.214900-3 8.413951+1 3.270410-3 1.513561+2 1.792985-3 2.951209+2 9.116570-4 5.888437+2 4.548168-4 4.677351+3 5.703509-5 1.000000+5 2.666600-6 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.382700-2 1.107900-3 1.000000+5 1.107900-3 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.382700-2 8.666100-3 1.000000+5 8.666100-3 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.382700-2 1.405300-2 1.000000+5 9.999999+4 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.306200-2 8.843539+3 2.318000-2 8.742001+3 2.335000-2 8.620100+3 2.360000-2 8.419300+3 2.430000-2 7.857700+3 2.511886-2 7.244400+3 2.630268-2 6.488800+3 3.235937-2 3.860900+3 3.548134-2 3.045300+3 4.400000-2 1.728900+3 5.500000-2 9.465500+2 6.918310-2 5.034800+2 8.709636-2 2.648700+2 1.778279-1 3.549600+1 2.238721-1 1.868400+1 2.630268-1 1.199773+1 3.090295-1 7.756278+0 3.589219-1 5.210967+0 4.120975-1 3.636194+0 4.677351-1 2.632964+0 5.248075-1 1.976181+0 5.888437-1 1.493313+0 6.606935-1 1.136480+0 7.673615-1 8.046601-1 8.413951-1 6.547439-1 9.225714-1 5.366559-1 1.000000+0 4.540873-1 1.135011+0 3.528930-1 1.258925+0 2.889659-1 1.412538+0 2.332955-1 1.640590+0 1.781655-1 1.883649+0 1.399714-1 2.137962+0 1.129667-1 2.426610+0 9.181034-2 2.786121+0 7.376959-2 3.273407+0 5.763281-2 3.801894+0 4.617413-2 4.415704+0 3.726483-2 5.188000+0 2.980083-2 6.165950+0 2.363133-2 7.328245+0 1.887746-2 8.912509+0 1.475065-2 1.071519+1 1.177547-2 1.348963+1 8.956814-3 1.698244+1 6.867470-3 2.213095+1 5.098447-3 2.754229+1 4.009032-3 3.715352+1 2.901859-3 5.495409+1 1.918780-3 8.609938+1 1.203811-3 1.584893+2 6.448603-4 3.162278+2 3.205045-4 6.309573+2 1.599411-4 5.011872+3 2.006231-5 1.000000+5 1.005100-6 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.306200-2 8.152900-4 1.000000+5 8.152900-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.306200-2 1.151000-2 1.000000+5 1.151000-2 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.306200-2 1.073671-2 1.000000+5 9.999999+4 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.852700-2 2.158688+4 1.890000-2 2.055924+4 1.970000-2 1.838244+4 2.580000-2 8.660280+3 2.818383-2 6.730375+3 3.507519-2 3.559527+3 4.415704-2 1.792824+3 5.559043-2 8.914222+2 6.918310-2 4.544434+2 8.912509-2 2.064839+2 1.621810-1 3.156251+1 2.018366-1 1.598819+1 2.400000-1 9.393720+0 2.851018-1 5.590208+0 3.273407-1 3.714108+0 3.715352-1 2.571753+0 4.168694-1 1.853665+0 4.677351-1 1.345600+0 5.248075-1 9.843394-1 5.821032-1 7.481220-1 6.456542-1 5.727831-1 7.161434-1 4.417313-1 8.709636-1 2.745814-1 9.332543-1 2.338331-1 9.885531-1 2.057439-1 1.059254+0 1.778539-1 1.148154+0 1.512886-1 1.250000+0 1.285643-1 1.380384+0 1.071639-1 1.737801+0 7.114986-2 1.972423+0 5.714894-2 2.238721+0 4.623642-2 2.570396+0 3.697843-2 2.951209+0 2.979302-2 3.427678+0 2.374596-2 4.000000+0 1.893800-2 4.677351+0 1.517686-2 5.559043+0 1.197915-2 6.606934+0 9.527813-3 7.943282+0 7.521981-3 9.660509+0 5.895406-3 1.202264+1 4.529445-3 1.500000+1 3.495100-3 1.949845+1 2.592893-3 2.600160+1 1.883774-3 3.672823+1 1.296911-3 5.370318+1 8.677375-4 8.413951+1 5.441854-4 1.513561+2 2.983421-4 2.951209+2 1.516972-4 5.888437+2 7.567988-5 4.677351+3 9.490456-6 1.000000+5 4.437100-7 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.852700-2 7.674800-4 1.000000+5 7.674800-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.852700-2 7.378100-3 1.000000+5 7.378100-3 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.852700-2 1.038142-2 1.000000+5 9.999999+4 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 6.102100-3 1.063750+4 6.290000-3 1.020280+4 6.450000-3 9.897420+3 6.606934-3 9.584274+3 6.850000-3 9.173460+3 7.500000-3 8.086080+3 7.852356-3 7.611311+3 8.317638-3 7.017065+3 1.011579-2 5.221592+3 1.096478-2 4.586478+3 1.318257-2 3.385186+3 1.462177-2 2.828607+3 1.698244-2 2.169890+3 1.950000-2 1.682420+3 2.187762-2 1.355708+3 2.600160-2 9.708226+2 3.090295-2 6.883124+2 3.630781-2 4.951048+2 4.265795-2 3.533987+2 5.011872-2 2.503603+2 6.000000-2 1.689464+2 7.161434-2 1.138035+2 8.609938-2 7.482766+1 1.035142-1 4.882779+1 1.273503-1 2.998686+1 1.659587-1 1.594903+1 2.630268-1 5.290809+0 3.235937-1 3.239928+0 3.890451-1 2.109609+0 4.623810-1 1.421374+0 5.308844-1 1.043278+0 6.165950-1 7.519366-1 7.161434-1 5.460868-1 8.317638-1 3.996537-1 9.440609-1 3.089088-1 1.122018+0 2.198020-1 1.273503+0 1.720916-1 1.445440+0 1.357966-1 1.621810+0 1.102469-1 1.840772+0 8.829478-2 2.113489+0 6.982023-2 2.398833+0 5.669968-2 2.754229+0 4.551609-2 3.198895+0 3.615450-2 3.715352+0 2.893298-2 4.315191+0 2.332488-2 5.069907+0 1.863423-2 6.025596+0 1.476135-2 7.161434+0 1.178081-2 8.709636+0 9.196786-3 1.059254+1 7.234292-3 1.333521+1 5.500674-3 1.659587+1 4.271853-3 2.137962+1 3.210161-3 2.722701+1 2.459441-3 3.715352+1 1.758229-3 5.432503+1 1.176670-3 8.609938+1 7.293583-4 1.566751+2 3.953244-4 3.126079+2 1.964529-4 6.237348+2 9.803462-5 4.954502+3 1.229596-5 1.000000+5 6.089800-7 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 6.102100-3 8.477600-4 1.000000+5 8.477600-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.102100-3 1.034600-4 1.000000+5 1.034600-4 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.102100-3 5.150880-3 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 5.741600-3 1.707243+4 5.825000-3 1.677482+4 6.095369-3 1.605638+4 6.400000-3 1.522040+4 7.244360-3 1.306793+4 7.673615-3 1.206010+4 8.222426-3 1.090692+4 9.120108-3 9.318078+3 9.900000-3 8.177160+3 1.023293-2 7.742279+3 1.202264-2 5.844219+3 1.288250-2 5.143177+3 1.500000-2 3.841160+3 1.621810-2 3.286500+3 1.883649-2 2.412778+3 2.065380-2 1.981331+3 2.371374-2 1.463238+3 2.722701-2 1.069526+3 3.019952-2 8.407735+2 3.467369-2 6.056842+2 4.027170-2 4.208114+2 4.731513-2 2.816755+2 5.559043-2 1.869475+2 6.531306-2 1.231340+2 7.762471-2 7.815731+1 9.549926-2 4.493222+1 1.244515-1 2.195017+1 2.000000-1 6.031900+0 2.600160-1 2.979030+0 3.126079-1 1.827452+0 3.672823-1 1.200526+0 4.216965-1 8.432073-1 4.841724-1 5.966364-1 5.495409-1 4.377268-1 6.165950-1 3.326014-1 6.918310-1 2.545668-1 7.762471-1 1.962403-1 8.709636-1 1.521234-1 9.440609-1 1.280358-1 1.023293+0 1.085103-1 1.148154+0 8.635576-2 1.273503+0 7.076728-2 1.428894+0 5.717233-2 1.659587+0 4.368441-2 1.905461+0 3.433776-2 2.162719+0 2.773024-2 2.483133+0 2.213508-2 2.851018+0 1.780267-2 3.311311+0 1.416606-2 3.845918+0 1.135628-2 4.466836+0 9.169974-3 5.308844+0 7.222631-3 6.309573+0 5.733147-3 7.585776+0 4.517496-3 9.225714+0 3.534469-3 1.122018+1 2.786439-3 1.412538+1 2.122651-3 1.862087+1 1.547007-3 2.511886+1 1.108339-3 3.548134+1 7.623426-4 5.188000+1 5.097222-4 8.128305+1 3.194674-4 1.412538+2 1.813310-4 2.722701+2 9.321210-5 5.432503+2 4.649020-5 4.315191+3 5.827852-6 1.000000+5 2.513600-7 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 5.741600-3 7.550500-4 1.000000+5 7.550500-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.741600-3 1.850900-4 1.000000+5 1.850900-4 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.741600-3 4.801460-3 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.685500-3 6.614400+4 4.954502-3 6.060658+4 5.248075-3 5.504122+4 6.025596-3 4.315679+4 6.800000-3 3.434228+4 7.800000-3 2.628940+4 8.317638-3 2.311202+4 9.800000-3 1.645412+4 1.059254-2 1.390465+4 1.258925-2 9.474631+3 1.380384-2 7.662612+3 1.584893-2 5.538350+3 1.800000-2 4.067680+3 2.018366-2 3.063922+3 2.317395-2 2.158300+3 2.660725-2 1.507388+3 3.019952-2 1.077178+3 3.427678-2 7.648762+2 3.935501-2 5.228010+2 4.518559-2 3.549118+2 5.248075-2 2.316115+2 6.095369-2 1.501310+2 7.161434-2 9.349496+1 8.609938-2 5.401405+1 1.071519-1 2.793361+1 1.949845-1 4.524978+0 2.454709-1 2.266620+0 2.884032-1 1.406613+0 3.311311-1 9.407517-1 3.758374-1 6.548917-1 4.265795-1 4.592173-1 4.786301-1 3.349095-1 5.370318-1 2.460295-1 6.000000-1 1.841636-1 6.683439-1 1.400202-1 7.413102-1 1.083744-1 8.709636-1 7.346129-2 9.332543-1 6.259176-2 9.885531-1 5.508992-2 1.059254+0 4.763208-2 1.148154+0 4.052030-2 1.250000+0 3.443185-2 1.380384+0 2.869714-2 1.737801+0 1.905092-2 1.995262+0 1.500474-2 2.264644+0 1.214598-2 2.600160+0 9.719689-3 3.000000+0 7.777000-3 3.467369+0 6.248722-3 4.027170+0 5.020583-3 4.731513+0 3.998122-3 5.623413+0 3.157401-3 6.683439+0 2.512586-3 8.035261+0 1.984554-3 9.772372+0 1.556046-3 1.230269+1 1.179824-3 1.513561+1 9.259833-4 1.949845+1 6.941188-4 2.600160+1 5.042763-4 3.630781+1 3.514716-4 5.370318+1 2.322933-4 8.511380+1 1.439539-4 1.513561+2 7.986634-5 2.951209+2 4.060775-5 5.888437+2 2.025947-5 4.677351+3 2.540542-6 1.000000+5 1.187800-7 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.685500-3 6.487500-4 1.000000+5 6.487500-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.685500-3 6.902600-5 1.000000+5 6.902600-5 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.685500-3 3.967724-3 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 4.103600-3 1.610100+5 4.370000-3 1.389427+5 4.466836-3 1.317350+5 4.841724-3 1.066313+5 5.248075-3 8.560005+4 6.025596-3 5.812291+4 6.683439-3 4.320982+4 7.150000-3 3.553556+4 8.000000-3 2.548868+4 8.609938-3 2.040518+4 1.035142-2 1.156877+4 1.230269-2 6.691773+3 1.350000-2 4.960960+3 1.603245-2 2.822821+3 1.905461-2 1.582836+3 2.213095-2 9.500242+2 2.540973-2 5.890288+2 2.951209-2 3.485586+2 3.467369-2 1.966942+2 4.120975-2 1.057617+2 5.011872-2 5.197391+1 6.382635-2 2.141129+1 1.273503-1 1.670395+0 1.548817-1 8.161858-1 1.840772-1 4.370661-1 2.162719-1 2.457662-1 2.483133-1 1.510470-1 2.818383-1 9.732587-2 3.198895-1 6.317820-2 3.589219-1 4.296426-2 4.027170-1 2.944064-2 4.466836-1 2.110015-2 4.954502-1 1.523155-2 5.432503-1 1.147025-2 5.956621-1 8.698207-3 6.456542-1 6.883929-3 7.079458-1 5.309372-3 8.035261-1 3.755073-3 8.609938-1 3.102426-3 9.120108-1 2.661821-3 9.549926-1 2.367282-3 1.000000+0 2.117490-3 1.047129+0 1.906744-3 1.096478+0 1.728139-3 1.161449+0 1.539961-3 1.230269+0 1.381568-3 1.333521+0 1.194587-3 1.531087+0 9.404858-4 1.840772+0 6.794623-4 2.065380+0 5.579726-4 2.344229+0 4.526013-4 2.691535+0 3.629366-4 3.126079+0 2.880000-4 3.630781+0 2.302119-4 4.216965+0 1.853845-4 4.954502+0 1.479490-4 5.888437+0 1.170776-4 7.000000+0 9.332300-5 8.511380+0 7.280749-5 1.035142+1 5.721863-5 1.303167+1 4.347421-5 1.603245+1 3.418551-5 2.041738+1 2.599762-5 2.660725+1 1.939663-5 3.672823+1 1.369146-5 5.432503+1 9.051296-6 8.609938+1 5.610464-6 1.566751+2 3.040901-6 3.054921+2 1.546743-6 6.095369+2 7.717383-7 4.841724+3 9.678995-8 1.000000+5 4.684500-9 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 4.103600-3 4.931900-4 1.000000+5 4.931900-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.103600-3 2.057900-4 1.000000+5 2.057900-4 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.103600-3 3.404620-3 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 3.892500-3 2.693174+5 3.924000-3 2.631321+5 4.060000-3 2.326674+5 4.150000-3 2.184996+5 4.623810-3 1.632508+5 5.069907-3 1.261759+5 5.688529-3 9.078199+4 6.531306-3 6.068270+4 7.328245-3 4.297948+4 8.128305-3 3.128539+4 9.885531-3 1.690796+4 1.096478-2 1.210277+4 1.258925-2 7.706235+3 1.462177-2 4.674543+3 1.650000-2 3.100440+3 1.883649-2 1.963777+3 2.187762-2 1.161964+3 2.540973-2 6.817559+2 2.985383-2 3.806202+2 3.507519-2 2.107849+2 4.168694-2 1.110121+2 5.011872-2 5.560187+1 6.309573-2 2.320542+1 1.230269-1 1.808492+0 1.479108-1 9.004987-1 1.717908-1 5.145527-1 1.972423-1 3.090379-1 2.238721-1 1.948968-1 2.511886-1 1.290073-1 2.818383-1 8.600844-2 3.126079-1 6.013191-2 3.467369-1 4.234799-2 3.845918-1 3.005583-2 4.216965-1 2.231661-2 4.623810-1 1.668611-2 5.069907-1 1.256641-2 5.559043-1 9.534827-3 6.025596-1 7.539309-3 6.531306-1 6.010284-3 7.161434-1 4.673896-3 7.943282-1 3.551005-3 8.709636-1 2.773161-3 9.225714-1 2.391895-3 9.660509-1 2.137003-3 1.011579+0 1.921140-3 1.071519+0 1.695377-3 1.135011+0 1.506852-3 1.216186+0 1.318349-3 1.318257+0 1.137314-3 1.548817+0 8.577263-4 1.840772+0 6.324079-4 2.065380+0 5.193949-4 2.344229+0 4.212983-4 2.691535+0 3.377908-4 3.126079+0 2.680081-4 3.630781+0 2.142303-4 4.216965+0 1.725161-4 4.954502+0 1.376807-4 5.888437+0 1.089473-4 7.000000+0 8.684500-5 8.511380+0 6.775453-5 1.035142+1 5.324678-5 1.303167+1 4.045687-5 1.603245+1 3.181302-5 2.041738+1 2.419271-5 2.660725+1 1.805063-5 3.672823+1 1.274214-5 5.432503+1 8.422947-6 8.609938+1 5.221027-6 1.566751+2 2.829803-6 3.126079+2 1.406284-6 6.237348+2 7.017469-7 4.954502+3 8.801956-8 1.000000+5 4.359300-9 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 3.892500-3 4.968500-4 1.000000+5 4.968500-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.892500-3 3.400700-7 1.000000+5 3.400700-7 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 3.892500-3 3.395310-3 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.595200-3 2.361925+4 1.700000-3 2.207054+4 1.737801-3 2.152869+4 1.820000-3 2.052940+4 1.927525-3 1.941474+4 2.041738-3 1.820327+4 2.371374-3 1.529589+4 2.754229-3 1.274226+4 2.951209-3 1.163859+4 3.650000-3 8.683720+3 4.073803-3 7.397546+3 4.786301-3 5.806409+3 5.688529-3 4.426722+3 6.382635-3 3.673631+3 7.500000-3 2.808780+3 9.015711-3 2.047231+3 1.083927-2 1.476921+3 1.300000-2 1.060240+3 1.548817-2 7.639178+2 1.819701-2 5.610460+2 2.150000-2 4.048620+2 2.570396-2 2.833124+2 3.054921-2 1.990763+2 3.630781-2 1.388563+2 4.315191-2 9.613529+1 5.128614-2 6.607490+1 6.165950-2 4.393967+1 7.413102-2 2.900169+1 8.709636-2 2.003531+1 1.083927-1 1.202789+1 1.412538-1 6.428019+0 2.113489-1 2.446294+0 2.818383-1 1.230104+0 3.427678-1 7.758194-1 4.120975-1 5.063664-1 4.841724-1 3.510796-1 5.559043-1 2.582842-1 6.456542-1 1.865668-1 7.498942-1 1.358023-1 8.709636-1 9.959755-2 9.772372-1 7.897296-2 1.188502+0 5.381543-2 1.333521+0 4.320368-2 1.513561+0 3.418467-2 1.717908+0 2.727168-2 1.972423+0 2.148335-2 2.238721+0 1.738039-2 2.570396+0 1.389970-2 2.951209+0 1.119856-2 3.427678+0 8.925704-3 4.000000+0 7.118500-3 4.677351+0 5.704517-3 5.559043+0 4.502632-3 6.606934+0 3.581328-3 7.943282+0 2.827290-3 9.660509+0 2.216004-3 1.202264+1 1.702485-3 1.500000+1 1.313800-3 1.927525+1 9.873041-4 2.570396+1 7.170555-4 3.630781+1 4.935135-4 5.308844+1 3.301320-4 8.317638+1 2.069903-4 1.479108+2 1.147975-4 2.884032+2 5.835915-5 5.754399+2 2.911225-5 4.570882+3 3.650394-6 1.000000+5 1.667800-7 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.595200-3 4.953200-4 1.000000+5 4.953200-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.595200-3 9.693100-7 1.000000+5 9.693100-7 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.595200-3 1.098911-3 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.428200-3 2.023839+4 1.737801-3 1.937456+4 1.883649-3 1.877966+4 2.041738-3 1.802816+4 2.213095-3 1.717933+4 2.350000-3 1.648368+4 2.600160-3 1.521258+4 2.786121-3 1.428464+4 3.150000-3 1.262656+4 3.400000-3 1.162892+4 3.672823-3 1.061987+4 4.150000-3 9.116560+3 4.518559-3 8.142727+3 5.069907-3 6.923492+3 5.559043-3 6.047845+3 6.237348-3 5.059877+3 6.918310-3 4.283313+3 7.852356-3 3.461665+3 8.709636-3 2.888679+3 9.885531-3 2.297853+3 1.135011-2 1.772710+3 1.288250-2 1.385708+3 1.450000-2 1.093272+3 1.640590-2 8.477477+2 1.862087-2 6.484407+2 2.113489-2 4.924845+2 2.400000-2 3.711040+2 2.754229-2 2.711034+2 3.162278-2 1.963559+2 3.672823-2 1.373632+2 4.216965-2 9.807635+1 4.897788-2 6.758661+1 5.754399-2 4.492097+1 6.839116-2 2.876639+1 8.317638-2 1.721430+1 1.035142-1 9.617298+0 2.213095-1 1.236886+0 2.722701-1 7.109429-1 3.235937-1 4.512475-1 3.758374-1 3.064267-1 4.315191-1 2.158327-1 4.954502-1 1.531409-1 5.623413-1 1.126224-1 6.382635-1 8.345718-2 7.244360-1 6.234714-2 8.035261-1 4.934610-2 8.810489-1 4.034998-2 9.549926-1 3.404051-2 1.047129+0 2.824275-2 1.188502+0 2.201559-2 1.303167+0 1.847383-2 1.479108+0 1.463205-2 1.698244+0 1.142820-2 1.949845+0 8.994537-3 2.213095+0 7.272479-3 2.540973+0 5.812352-3 2.917427+0 4.679988-3 3.388442+0 3.728002-3 3.935501+0 2.991862-3 4.623810+0 2.379871-3 5.495409+0 1.877491-3 6.531306+0 1.492588-3 7.852356+0 1.177808-3 9.549926+0 9.227190-4 1.174898+1 7.183868-4 1.479108+1 5.481685-4 1.927525+1 4.053507-4 2.570396+1 2.943884-4 3.630781+1 2.026182-4 5.308844+1 1.355352-4 8.413951+1 8.397840-5 1.500000+2 4.646500-5 2.884032+2 2.395963-5 5.754399+2 1.195250-5 4.570882+3 1.498693-6 1.000000+5 6.847300-8 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.428200-3 4.608200-4 1.000000+5 4.608200-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.428200-3 7.381800-7 1.000000+5 7.381800-7 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.428200-3 9.666418-4 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.147000-3 1.484800+5 1.303167-3 1.289060+5 1.445440-3 1.147088+5 1.678804-3 9.558089+4 1.819701-3 8.619926+4 2.018366-3 7.480866+4 2.162719-3 6.781887+4 2.600160-3 5.148270+4 2.851018-3 4.453855+4 3.349654-3 3.418449+4 3.672823-3 2.920837+4 4.265795-3 2.243565+4 4.841724-3 1.778322+4 5.432503-3 1.431306+4 6.309573-3 1.069027+4 7.161434-3 8.281471+3 8.035261-3 6.527180+3 9.225714-3 4.866720+3 1.059254-2 3.597584+3 1.230269-2 2.568729+3 1.428894-2 1.816157+3 1.650000-2 1.289640+3 1.883649-2 9.337956+2 2.150000-2 6.715240+2 2.426610-2 4.935662+2 2.786121-2 3.448366+2 3.235937-2 2.318356+2 3.715352-2 1.595036+2 4.315191-2 1.055926+2 5.011872-2 6.935297+1 5.888437-2 4.375721+1 7.000000-2 2.648611+1 8.413951-2 1.539069+1 1.059254-1 7.735630+0 1.364583-1 3.603445+0 1.949845-1 1.224154+0 2.398833-1 6.582983-1 2.851700-1 3.951511-1 3.311311-1 2.560567-1 3.801894-1 1.727162-1 4.315191-1 1.212685-1 4.841724-1 8.854056-2 5.432503-1 6.511251-2 6.025596-1 4.970736-2 6.683439-1 3.822057-2 7.413102-1 2.958679-2 8.709636-1 2.005425-2 9.332543-1 1.708547-2 9.885531-1 1.503660-2 1.059254+0 1.300017-2 1.148154+0 1.105897-2 1.250000+0 9.397517-3 1.380384+0 7.832495-3 1.737801+0 5.199569-3 1.972423+0 4.176374-3 2.238721+0 3.378824-3 2.570396+0 2.702151-3 2.951209+0 2.176961-3 3.427678+0 1.735107-3 4.000000+0 1.383800-3 4.677351+0 1.108960-3 5.559043+0 8.753071-4 6.606934+0 6.961947-4 7.943282+0 5.496262-4 9.660509+0 4.307784-4 1.202264+1 3.309583-4 1.500000+1 2.553900-4 1.949845+1 1.894687-4 2.600160+1 1.376508-4 3.672823+1 9.476485-5 5.432503+1 6.264471-5 8.609938+1 3.883080-5 1.566751+2 2.104662-5 3.054921+2 1.070533-5 6.095369+2 5.341319-6 4.841724+3 6.699012-7 1.000000+5 3.242200-8 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.147000-3 3.981100-4 1.000000+5 3.981100-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.147000-3 6.173000-7 1.000000+5 6.173000-7 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.147000-3 7.482727-4 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 8.779000-4 1.873025+5 9.600000-4 2.030847+5 1.000000-3 2.071004+5 1.011579-3 2.073060+5 1.050800-3 2.057071+5 1.096478-3 2.026761+5 1.150000-3 1.981644+5 1.210000-3 1.921556+5 1.273503-3 1.851437+5 1.350000-3 1.763932+5 1.428894-3 1.671024+5 1.530000-3 1.553000+5 1.650000-3 1.419684+5 1.737801-3 1.328143+5 1.905461-3 1.167281+5 2.041738-3 1.052956+5 2.187762-3 9.421333+4 2.426610-3 7.898513+4 2.600160-3 6.982336+4 2.818383-3 6.000645+4 3.126079-3 4.899825+4 3.388442-3 4.155309+4 3.758374-3 3.332978+4 4.073803-3 2.791567+4 4.518559-3 2.203707+4 4.954502-3 1.774436+4 5.559043-3 1.340538+4 6.095369-3 1.063750+4 6.800000-3 8.022400+3 7.585776-3 5.999937+3 8.317638-3 4.670306+3 9.332543-3 3.389164+3 1.047129-2 2.439405+3 1.174898-2 1.742055+3 1.303167-2 1.278416+3 1.450000-2 9.237600+2 1.621810-2 6.527522+2 1.819701-2 4.537497+2 2.041738-2 3.134229+2 2.317395-2 2.071749+2 2.660725-2 1.308508+2 3.054921-2 8.199241+1 3.548134-2 4.903197+1 4.120975-2 2.910544+1 4.897788-2 1.581564+1 5.956621-2 7.855736+0 7.498942-2 3.418754+0 1.462177-1 3.019841-1 1.757924-1 1.557642-1 2.018366-1 9.537472-2 2.454709-1 4.805509-2 2.818383-1 2.983929-2 3.162278-1 2.019236-2 3.548134-1 1.375592-2 3.981072-1 9.438699-3 4.415705-1 6.764416-3 4.897788-1 4.883159-3 5.370318-1 3.680761-3 5.821032-1 2.893601-3 6.382635-1 2.213302-3 7.585776-1 1.348689-3 8.128305-1 1.112520-3 8.609938-1 9.531934-4 9.120108-1 8.221893-4 9.549926-1 7.346605-4 1.000000+0 6.602723-4 1.059254+0 5.824918-4 1.122018+0 5.173384-4 1.202264+0 4.520644-4 1.303167+0 3.893720-4 1.840772+0 2.117417-4 2.065380+0 1.739031-4 2.344229+0 1.410491-4 2.691535+0 1.130865-4 3.126079+0 8.972218-5 3.630781+0 7.171900-5 4.216965+0 5.775307-5 4.954502+0 4.609002-5 5.888437+0 3.647352-5 7.000000+0 2.907300-5 8.511380+0 2.268166-5 1.035142+1 1.782524-5 1.303167+1 1.354411-5 1.603245+1 1.065023-5 2.041738+1 8.099113-6 2.660725+1 6.042666-6 3.672823+1 4.265554-6 5.432503+1 2.819732-6 8.609938+1 1.747850-6 1.566751+2 9.473437-7 3.090295+2 4.762921-7 6.165950+2 2.376570-7 4.897788+3 2.980779-8 1.000000+5 1.459400-9 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 8.779000-4 3.158700-4 1.000000+5 3.158700-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 8.779000-4 3.872400-7 1.000000+5 3.872400-7 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 8.779000-4 5.616428-4 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 8.266800-4 3.392619+5 8.730000-4 3.526265+5 8.950000-4 3.577310+5 9.100000-4 3.594666+5 9.430000-4 3.585538+5 1.000000-3 3.507006+5 1.059254-3 3.402081+5 1.117100-3 3.283560+5 1.174898-3 3.158182+5 1.250000-3 2.989764+5 1.333521-3 2.801577+5 1.420000-3 2.610810+5 1.500000-3 2.442264+5 1.603245-3 2.237916+5 1.717908-3 2.028316+5 1.862087-3 1.797726+5 1.972423-3 1.639630+5 2.137962-3 1.429304+5 2.350000-3 1.208112+5 2.511886-3 1.066944+5 2.754229-3 8.911202+4 3.019952-3 7.392481+4 3.311311-3 6.081557+4 3.650000-3 4.911204+4 4.027170-3 3.924911+4 4.415704-3 3.160331+4 4.897788-3 2.456515+4 5.370318-3 1.950591+4 5.956621-3 1.493688+4 6.606934-3 1.134989+4 7.328245-3 8.562856+3 8.222426-3 6.209060+3 9.300000-3 4.360752+3 1.047129-2 3.074973+3 1.161449-2 2.250472+3 1.273503-2 1.696399+3 1.412538-2 1.227333+3 1.584893-2 8.505881+2 1.778279-2 5.853321+2 1.972423-2 4.157763+2 2.213095-2 2.825534+2 2.483133-2 1.908775+2 2.818383-2 1.231290+2 3.235937-2 7.574382+1 3.715352-2 4.625421+1 4.315191-2 2.691041+1 5.069907-2 1.490620+1 6.095369-2 7.529344+0 7.585776-2 3.319364+0 1.333521-1 3.972963-1 1.566751-1 2.178663-1 1.840772-1 1.203444-1 2.041738-1 8.256861-2 2.483133-1 4.111743-2 2.691535-1 3.094229-2 3.054921-1 1.996480-2 3.388442-1 1.403444-2 3.715352-1 1.032524-2 4.027170-1 7.938244-3 4.415705-1 5.923942-3 4.841724-1 4.453197-3 5.308844-1 3.371372-3 5.821032-1 2.571259-3 6.309573-1 2.041668-3 6.839117-1 1.632303-3 7.498942-1 1.273837-3 8.222427-1 1.001737-3 9.015711-1 7.899484-4 9.549926-1 6.853309-4 1.000000+0 6.155786-4 1.059254+0 5.428515-4 1.122018+0 4.820396-4 1.202264+0 4.212083-4 1.303167+0 3.628501-4 1.840772+0 1.974431-4 2.065380+0 1.621309-4 2.344229+0 1.314871-4 2.691535+0 1.054285-4 3.126079+0 8.365607-5 3.630781+0 6.686948-5 4.216965+0 5.384802-5 4.954502+0 4.297408-5 5.888437+0 3.400675-5 7.000000+0 2.710700-5 8.511380+0 2.114831-5 1.035142+1 1.662016-5 1.303167+1 1.262776-5 1.603245+1 9.929914-6 2.041738+1 7.551508-6 2.660725+1 5.634128-6 3.672823+1 3.977104-6 5.370318+1 2.661014-6 8.511380+1 1.649120-6 1.548817+2 8.937043-7 3.019952+2 4.545214-7 6.025596+2 2.267682-7 4.786301+3 2.844042-8 1.000000+5 1.360700-9 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 8.266800-4 3.115000-4 1.000000+5 3.115000-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 8.266800-4 9.379300-8 1.000000+5 9.379300-8 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 8.266800-4 5.150862-4 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 4.710300-4 6.746219+4 4.713000-4 6.612840+4 4.719000-4 6.417420+4 4.725000-4 6.260040+4 4.731513-4 6.123770+4 4.740000-4 5.989122+4 4.750000-4 5.875788+4 4.765000-4 5.767188+4 4.780000-4 5.703372+4 4.800000-4 5.660766+4 4.827000-4 5.642448+4 4.852300-4 5.652268+4 4.870000-4 5.677272+4 4.890000-4 5.731716+4 4.910000-4 5.823000+4 4.925000-4 5.922096+4 4.940000-4 6.052800+4 4.955000-4 6.219780+4 4.970000-4 6.428160+4 4.985000-4 6.682500+4 5.000000-4 6.987540+4 5.015000-4 7.348320+4 5.030000-4 7.770000+4 5.045000-4 8.258760+4 5.060000-4 8.819160+4 5.080000-4 9.688560+4 5.100000-4 1.070910+5 5.128614-4 1.245811+5 5.220200-4 2.061403+5 5.253000-4 2.451108+5 5.280000-4 2.808564+5 5.310000-4 3.241266+5 5.339400-4 3.698773+5 5.370318-4 4.212175+5 5.400000-4 4.732470+5 5.430000-4 5.282610+5 5.450000-4 5.660262+5 5.480000-4 6.241620+5 5.510000-4 6.834720+5 5.540000-4 7.434540+5 5.570000-4 8.034720+5 5.600000-4 8.629080+5 5.635000-4 9.307020+5 5.670000-4 9.960300+5 5.705000-4 1.058238+6 5.740000-4 1.116870+6 5.780000-4 1.179174+6 5.821032-4 1.237872+6 5.850000-4 1.276104+6 5.900000-4 1.336188+6 5.956621-4 1.395947+6 6.000000-4 1.435944+6 6.050000-4 1.476258+6 6.100000-4 1.510722+6 6.165950-4 1.547716+6 6.240000-4 1.579200+6 6.320000-4 1.602462+6 6.430000-4 1.620762+6 6.550000-4 1.627620+6 6.683439-4 1.624177+6 6.850000-4 1.607556+6 7.000000-4 1.583658+6 7.244360-4 1.534256+6 7.500000-4 1.474836+6 7.800000-4 1.400634+6 8.128305-4 1.318147+6 8.511380-4 1.223858+6 8.912509-4 1.129843+6 9.440609-4 1.014482+6 1.000000-3 9.048540+5 1.071519-3 7.819005+5 1.135011-3 6.874451+5 1.230269-3 5.688118+5 1.318257-3 4.808013+5 1.412538-3 4.033216+5 1.548817-3 3.162921+5 1.678804-3 2.540546+5 1.840772-3 1.959116+5 2.018366-3 1.501291+5 2.213095-3 1.140893+5 2.450000-3 8.368920+4 2.722701-3 6.011658+4 3.000000-3 4.406388+4 3.349654-3 3.069021+4 3.672823-3 2.253733+4 4.073803-3 1.581924+4 4.570882-3 1.058464+4 5.069907-3 7.319498+3 5.623413-3 5.029462+3 6.309573-3 3.289871+3 7.079458-3 2.135297+3 8.035261-3 1.315792+3 9.015711-3 8.408059+2 1.011579-2 5.334896+2 1.135011-2 3.361841+2 1.273503-2 2.105112+2 1.428894-2 1.310157+2 1.621810-2 7.726235+1 1.862087-2 4.309765+1 2.137962-2 2.386067+1 2.483133-2 1.247804+1 2.917427-2 6.159787+0 3.467369-2 2.868974+0 4.265795-2 1.137795+0 5.956621-2 2.537549-1 8.035261-2 6.595642-2 1.174898-1 1.213233-2 1.396368-1 5.659070-3 1.603245-1 3.095871-3 1.819701-1 1.793567-3 2.065380-1 1.047983-3 2.317395-1 6.475786-4 2.630268-1 3.843217-4 2.917427-1 2.523311-4 3.235937-1 1.668767-4 3.548134-1 1.163460-4 3.890451-1 8.177754-5 4.265795-1 5.787329-5 4.786301-1 3.788643-5 5.188000-1 2.831784-5 5.623413-1 2.130704-5 6.025596-1 1.679876-5 6.456542-1 1.332909-5 6.918310-1 1.064896-5 7.328245-1 8.885724-6 7.852356-1 7.206425-6 9.120108-1 4.644880-6 9.549926-1 4.087765-6 9.885531-1 3.734227-6 1.023293+0 3.430548-6 1.059254+0 3.167563-6 1.109175+0 2.867461-6 1.161449+0 2.613251-6 1.230269+0 2.344789-6 1.318257+0 2.073890-6 1.513561+0 1.644422-6 1.905461+0 1.096193-6 2.137962+0 9.018202-7 2.454709+0 7.193254-7 2.818383+0 5.781542-7 3.273407+0 4.597760-7 3.801894+0 3.683670-7 4.415704+0 2.972923-7 5.248075+0 2.340390-7 6.237348+0 1.856803-7 7.498942+0 1.462319-7 9.120108+0 1.143658-7 1.100000+1 9.102400-8 1.396368+1 6.862461-8 1.819701+1 5.064853-8 2.426610+1 3.672946-8 3.427678+1 2.523608-8 4.954502+1 1.706628-8 7.585776+1 1.094519-8 1.288250+2 6.353882-9 2.540973+2 3.188116-9 5.069907+2 1.589649-9 4.027170+3 1.99206-10 1.000000+5 8.01830-12 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 4.710300-4 1.856200-4 1.000000+5 1.856200-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 4.710300-4 4.625600-8 1.000000+5 4.625600-8 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 4.710300-4 2.853637-4 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 4.571700-4 1.035128+5 4.572500-4 1.018184+5 4.576000-4 9.840160+4 4.579500-4 9.549120+4 4.585000-4 9.178080+4 4.591000-4 8.860000+4 4.596000-4 8.646960+4 4.603000-4 8.409840+4 4.611000-4 8.201280+4 4.619000-4 8.044800+4 4.630000-4 7.889072+4 4.641000-4 7.780072+4 4.653000-4 7.698296+4 4.668000-4 7.634024+4 4.690000-4 7.590856+4 4.713000-4 7.592984+4 4.735000-4 7.638840+4 4.757000-4 7.738240+4 4.772000-4 7.844888+4 4.790000-4 8.024480+4 4.807000-4 8.254800+4 4.823000-4 8.534320+4 4.840000-4 8.906960+4 4.850000-4 9.166400+4 4.866400-4 9.662609+4 4.880000-4 1.014680+5 4.897788-4 1.088874+5 4.915000-4 1.173512+5 4.935000-4 1.289376+5 4.958000-4 1.448152+5 4.980000-4 1.627984+5 5.011872-4 1.941328+5 5.080000-4 2.836392+5 5.110000-4 3.328544+5 5.135000-4 3.782096+5 5.160000-4 4.272304+5 5.190000-4 4.905576+5 5.220000-4 5.583096+5 5.248075-4 6.252673+5 5.280000-4 7.051360+5 5.310000-4 7.832240+5 5.339400-4 8.620202+5 5.370318-4 9.466018+5 5.400000-4 1.028664+6 5.432503-4 1.118558+6 5.465000-4 1.207376+6 5.500000-4 1.300648+6 5.530000-4 1.377760+6 5.560000-4 1.451664+6 5.590000-4 1.521944+6 5.635000-4 1.620096+6 5.670000-4 1.690208+6 5.720000-4 1.781160+6 5.760000-4 1.846416+6 5.815000-4 1.925912+6 5.850000-4 1.970792+6 5.900000-4 2.027400+6 5.956621-4 2.081674+6 6.030000-4 2.137424+6 6.100000-4 2.176688+6 6.180000-4 2.207496+6 6.282500-4 2.229497+6 6.390000-4 2.237304+6 6.531306-4 2.231154+6 6.700000-4 2.205744+6 6.850000-4 2.170416+6 7.080000-4 2.102920+6 7.328245-4 2.020414+6 7.642400-4 1.909166+6 8.000000-4 1.781704+6 8.413951-4 1.638462+6 8.850000-4 1.496736+6 9.350000-4 1.346520+6 9.885531-4 1.202790+6 1.071519-3 1.010908+6 1.135011-3 8.863200+5 1.230269-3 7.305216+5 1.333521-3 5.979211+5 1.428894-3 4.997761+5 1.570000-3 3.880080+5 1.698244-3 3.120916+5 1.862087-3 2.398295+5 2.041738-3 1.829805+5 2.238721-3 1.386003+5 2.457300-3 1.039505+5 2.722701-3 7.515734+4 3.019952-3 5.372546+4 3.349654-3 3.811733+4 3.715352-3 2.683708+4 4.120975-3 1.875502+4 4.570882-3 1.301767+4 5.128614-3 8.605551+3 5.821032-3 5.406984+3 6.606934-3 3.364367+3 7.500000-3 2.072888+3 8.511380-3 1.266779+3 9.549926-3 8.029588+2 1.071519-2 5.053665+2 1.200000-2 3.183424+2 1.333521-2 2.058357+2 1.500000-2 1.258360+2 1.717908-2 7.079757+1 1.972423-2 3.910122+1 2.264644-2 2.142672+1 2.630268-2 1.108105+1 3.090295-2 5.404541+0 3.672823-2 2.485040+0 4.518559-2 9.701205-1 8.128305-2 6.618505-2 1.188502-1 1.179906-2 1.380384-1 6.021764-3 1.548817-1 3.613348-3 1.737801-1 2.185116-3 1.949845-1 1.326122-3 2.137962-1 8.951348-4 2.371374-1 5.795689-4 2.600160-1 3.964603-4 2.851018-1 2.729599-4 3.126079-1 1.892184-4 3.427678-1 1.321108-4 3.715352-1 9.708959-5 4.073803-1 6.877928-5 4.466836-1 4.909440-5 4.954502-1 3.377882-5 5.248075-1 2.759080-5 5.559043-1 2.267316-5 5.754399-1 2.023459-5 6.095369-1 1.687295-5 6.683439-1 1.273181-5 7.498942-1 8.888571-6 8.035261-1 7.206436-6 8.511380-1 6.087045-6 9.015711-1 5.179347-6 9.440609-1 4.581104-6 9.885531-1 4.079196-6 1.035142+0 3.659831-6 1.083927+0 3.308107-6 1.135011+0 3.009334-6 1.202264+0 2.693165-6 1.303167+0 2.326086-6 1.428894+0 1.983005-6 1.513561+0 1.797971-6 1.862087+0 1.247438-6 2.089296+0 1.024717-6 2.371374+0 8.315343-7 2.722701+0 6.671722-7 3.162278+0 5.297098-7 3.672823+0 4.236644-7 4.265795+0 3.413520-7 5.011872+0 2.725597-7 5.956621+0 2.158011-7 7.079458+0 1.721468-7 8.609938+0 1.343325-7 1.047129+1 1.056148-7 1.318257+1 8.027615-8 1.640590+1 6.232071-8 2.089296+1 4.742272-8 2.691535+1 3.585480-8 3.715352+1 2.531473-8 5.495409+1 1.673796-8 8.609938+1 1.050103-8 1.566751+2 5.691716-9 3.126079+2 2.828516-9 6.237348+2 1.411421-9 4.954502+3 1.77032-10 1.000000+5 8.76790-12 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 4.571700-4 1.831800-4 1.000000+5 1.831800-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 4.571700-4 1.107600-7 1.000000+5 1.107600-7 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 4.571700-4 2.738792-4 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 3.624400-4 4.683450+4 5.188000-4 3.523886+4 5.559043-4 3.311773+4 6.700000-4 2.776220+4 7.300000-4 2.541020+4 8.511380-4 2.143943+4 9.332543-4 1.925301+4 1.070000-3 1.624854+4 1.202264-3 1.397737+4 1.412538-3 1.123689+4 1.610000-3 9.346461+3 1.900000-3 7.347580+3 2.264644-3 5.649331+3 2.754229-3 4.178322+3 3.349654-3 3.067557+3 4.120975-3 2.193370+3 5.011872-3 1.585220+3 6.025596-3 1.159180+3 7.244360-3 8.413786+2 8.709636-3 6.061448+2 1.047129-2 4.335009+2 1.258925-2 3.077816+2 1.513561-2 2.169141+2 1.819701-2 1.517428+2 2.187762-2 1.053539+2 2.630268-2 7.258777+1 3.162278-2 4.962207+1 3.801894-2 3.365440+1 4.570882-2 2.264639+1 5.432503-2 1.550912+1 6.531306-2 1.027913+1 7.943282-2 6.587366+0 9.772372-2 4.076985+0 1.216186-1 2.437088+0 1.603245-1 1.261248+0 2.722701-1 3.550557-1 3.388442-1 2.117673-1 4.027170-1 1.417811-1 4.731513-1 9.825680-2 5.495409-1 7.037841-2 6.309573-1 5.206792-2 7.328245-1 3.786062-2 8.609938-1 2.709107-2 9.772372-1 2.097927-2 1.188502+0 1.429578-2 1.333521+0 1.147680-2 1.513561+0 9.080985-3 1.717908+0 7.244414-3 1.972423+0 5.706880-3 2.238721+0 4.617152-3 2.570396+0 3.692466-3 2.951209+0 2.974808-3 3.427678+0 2.371050-3 4.000000+0 1.891000-3 4.677351+0 1.515395-3 5.559043+0 1.196125-3 6.606934+0 9.513652-4 7.943282+0 7.510680-4 9.660509+0 5.886645-4 1.202264+1 4.522664-4 1.500000+1 3.489900-4 1.949845+1 2.589085-4 2.600160+1 1.880974-4 3.672823+1 1.295035-4 5.432503+1 8.560531-5 8.609938+1 5.306236-5 1.566751+2 2.875995-5 3.090295+2 1.446010-5 6.165950+2 7.215052-6 4.897788+3 9.049427-7 1.000000+5 4.430500-8 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 3.624400-4 2.067800-4 1.000000+5 2.067800-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.624400-4 9.724000-9 1.000000+5 9.724000-9 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.624400-4 1.556503-4 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 2.950600-4 1.555948+5 2.962000-4 1.489570+5 2.969000-4 1.455448+5 2.980000-4 1.411600+5 2.995000-4 1.365986+5 3.009600-4 1.331490+5 3.030000-4 1.293540+5 3.065000-4 1.241644+5 3.180000-4 1.099906+5 3.350000-4 9.168420+4 3.589219-4 7.300083+4 3.780000-4 6.253120+4 4.027170-4 5.208562+4 4.216965-4 4.588444+4 4.365158-4 4.194788+4 4.518559-4 3.856295+4 4.700900-4 3.526353+4 4.897788-4 3.236531+4 5.150000-4 2.937420+4 5.400000-4 2.699080+4 5.650000-4 2.505180+4 5.900000-4 2.346720+4 6.200000-4 2.192580+4 6.531306-4 2.055265+4 7.000000-4 1.899910+4 7.585776-4 1.747548+4 8.413951-4 1.582897+4 1.174898-3 1.168319+4 1.350000-3 1.022006+4 1.531087-3 8.992898+3 1.757924-3 7.751372+3 1.972423-3 6.801262+3 2.238721-3 5.850057+3 2.540973-3 4.996170+3 2.900000-3 4.204720+3 3.311311-3 3.509741+3 3.758374-3 2.932119+3 4.265795-3 2.432162+3 4.841724-3 2.002780+3 5.500000-3 1.634778+3 6.237348-3 1.328194+3 7.079458-3 1.069662+3 8.035261-3 8.551993+2 9.120108-3 6.787396+2 1.035142-2 5.349160+2 1.174898-2 4.186583+2 1.333521-2 3.254296+2 1.513561-2 2.512453+2 1.737801-2 1.880017+2 1.995262-2 1.395768+2 2.290868-2 1.028195+2 2.630268-2 7.517648+1 3.019952-2 5.456794+1 3.507519-2 3.826017+1 4.073803-2 2.661754+1 4.731513-2 1.838115+1 5.559043-2 1.224197+1 6.606934-2 7.857571+0 7.943282-2 4.858324+0 9.772372-2 2.805859+0 1.273503-1 1.378815+0 2.290868-1 2.837605-1 2.818383-1 1.634462-1 3.349654-1 1.039381-1 3.890451-1 7.069088-2 4.466836-1 4.986732-2 5.069907-1 3.645864-2 5.754399-1 2.684772-2 6.456542-1 2.047340-2 7.244360-1 1.572293-2 8.317638-1 1.155208-2 9.120108-1 9.458380-3 9.885531-1 7.993246-3 1.109175+0 6.348676-3 1.250000+0 5.035469-3 1.412538+0 4.010357-3 1.640590+0 3.061970-3 1.883649+0 2.405194-3 2.137962+0 1.941108-3 2.454709+0 1.548337-3 2.818383+0 1.244431-3 3.273407+0 9.896121-4 3.801894+0 7.928650-4 4.415704+0 6.398882-4 5.248075+0 5.037404-4 6.237348+0 3.996535-4 7.498942+0 3.147591-4 9.120108+0 2.461635-4 1.100000+1 1.959200-4 1.380384+1 1.497061-4 1.800000+1 1.103700-4 2.400000+1 8.002700-5 3.311311+1 5.637255-5 4.786301+1 3.809363-5 7.413102+1 2.412588-5 1.258925+2 1.400199-5 2.483133+2 7.023515-6 4.954502+2 3.501847-6 1.972423+3 8.760083-7 1.000000+5 1.725900-8 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 2.950600-4 1.882400-4 1.000000+5 1.882400-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.950600-4 1.822900-8 1.000000+5 1.822900-8 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 2.950600-4 1.068018-4 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.252500-4 3.590000+5 2.400000-4 3.231300+5 2.511886-4 3.009828+5 2.754229-4 2.626577+5 3.150000-4 2.223360+5 3.350000-4 2.074552+5 4.954502-4 1.386789+5 5.688529-4 1.194917+5 6.456542-4 1.035151+5 7.328245-4 8.904081+4 8.317638-4 7.601911+4 9.440609-4 6.443787+4 1.083927-3 5.337754+4 1.244515-3 4.386855+4 1.428894-3 3.578613+4 1.650000-3 2.873260+4 1.905461-3 2.290344+4 2.213095-3 1.795876+4 2.570396-3 1.398171+4 3.000000-3 1.071364+4 3.467369-3 8.289780+3 4.000000-3 6.390360+3 4.570882-3 4.979232+3 5.248075-3 3.818766+3 6.025596-3 2.906365+3 6.839116-3 2.248015+3 7.762471-3 1.727744+3 8.912509-3 1.286722+3 1.023293-2 9.511303+2 1.174898-2 6.975675+2 1.348963-2 5.076125+2 1.548817-2 3.665112+2 1.778279-2 2.626293+2 2.041738-2 1.867646+2 2.344229-2 1.317962+2 2.691535-2 9.228636+1 3.090295-2 6.414952+1 3.548134-2 4.427644+1 4.120975-2 2.940247+1 4.786301-2 1.937361+1 5.623413-2 1.226548+1 6.606934-2 7.705889+0 7.943282-2 4.493577+0 9.772372-2 2.429558+0 1.244515-1 1.173813+0 1.949845-1 3.023358-1 2.398833-1 1.626401-1 2.851018-1 9.771833-2 3.311311-1 6.329962-2 3.801894-1 4.271431-2 4.315191-1 3.000602-2 4.841724-1 2.191730-2 5.432503-1 1.612510-2 6.025596-1 1.231458-2 6.683439-1 9.469635-3 7.413102-1 7.331371-3 8.709636-1 4.970788-3 9.332543-1 4.235582-3 9.885531-1 3.728102-3 1.059254+0 3.223541-3 1.148154+0 2.742278-3 1.250000+0 2.330200-3 1.380384+0 1.942070-3 1.737801+0 1.289372-3 1.995262+0 1.015482-3 2.264644+0 8.219117-4 2.600160+0 6.577420-4 3.000000+0 5.263300-4 3.467369+0 4.228953-4 4.027170+0 3.397760-4 4.731513+0 2.705812-4 5.623413+0 2.136824-4 6.683439+0 1.700398-4 8.035261+0 1.343122-4 9.772372+0 1.053092-4 1.216186+1 8.094556-5 1.513561+1 6.266824-5 1.949845+1 4.697597-5 2.600160+1 3.412872-5 3.672823+1 2.349582-5 5.432503+1 1.553273-5 8.609938+1 9.627732-6 1.566751+2 5.218283-6 3.090295+2 2.623564-6 6.165950+2 1.309136-6 4.897788+3 1.641887-7 1.000000+5 8.038700-9 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.252500-4 1.311300-4 1.000000+5 1.311300-4 1 95000 7 7 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.252500-4 5.058400-9 1.000000+5 5.058400-9 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.252500-4 9.411494-5 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.252900-4 7.031327+5 1.257000-4 7.555760+5 1.266000-4 8.701480+5 1.273503-4 9.715916+5 1.280000-4 1.061668+6 1.285000-4 1.131688+6 1.292000-4 1.229552+6 1.298000-4 1.311896+6 1.305000-4 1.404988+6 1.311000-4 1.481248+6 1.318257-4 1.567918+6 1.325000-4 1.642140+6 1.331000-4 1.702280+6 1.337000-4 1.756604+6 1.343000-4 1.804492+6 1.350000-4 1.852084+6 1.358000-4 1.895576+6 1.365000-4 1.924440+6 1.373000-4 1.947348+6 1.380384-4 1.959668+6 1.391000-4 1.964068+6 1.402000-4 1.954664+6 1.414000-4 1.931444+6 1.428894-4 1.888628+6 1.447000-4 1.823140+6 1.470000-4 1.729236+6 1.500000-4 1.602128+6 1.540000-4 1.439672+6 1.584893-4 1.274002+6 1.640590-4 1.093037+6 1.698244-4 9.310163+5 1.760000-4 7.831880+5 1.980000-4 4.353840+5 2.089296-4 3.352094+5 2.190000-4 2.685136+5 2.264644-4 2.305107+5 2.344229-4 1.982152+5 2.400000-4 1.796984+5 2.454709-4 1.642796+5 2.520000-4 1.488948+5 2.580000-4 1.371976+5 2.635000-4 1.282080+5 2.691535-4 1.204346+5 2.754229-4 1.132871+5 2.818383-4 1.073180+5 2.884032-4 1.023783+5 2.951209-4 9.833269+4 3.019952-4 9.505903+4 3.100000-4 9.213920+4 3.180000-4 8.998560+4 3.280000-4 8.812480+4 3.390000-4 8.688400+4 3.507519-4 8.623696+4 3.650000-4 8.609800+4 3.850000-4 8.658880+4 4.500000-4 8.900800+4 4.850000-4 8.963440+4 5.188000-4 8.954627+4 5.500000-4 8.888480+4 5.888437-4 8.747885+4 6.237348-4 8.578281+4 6.606934-4 8.362612+4 7.079458-4 8.054022+4 7.585776-4 7.701492+4 8.128305-4 7.310398+4 8.761400-4 6.858263+4 9.440609-4 6.389119+4 1.023293-3 5.873026+4 1.110000-3 5.354160+4 1.216186-3 4.784229+4 1.318257-3 4.301418+4 1.450000-3 3.763404+4 1.584893-3 3.296204+4 1.730000-3 2.873956+4 1.905461-3 2.452778+4 2.113489-3 2.052091+4 2.344229-3 1.702718+4 2.600160-3 1.401575+4 2.884032-3 1.144674+4 3.200000-3 9.269800+3 3.548134-3 7.460125+3 3.935501-3 5.953103+3 4.315191-3 4.841069+3 4.786301-3 3.807681+3 5.308844-3 2.972907+3 5.888437-3 2.304418+3 6.531306-3 1.773294+3 7.244360-3 1.354997+3 8.035261-3 1.028308+3 9.000000-3 7.546077+2 1.000000-2 5.620907+2 1.122018-2 4.043649+2 1.258925-2 2.886972+2 1.412538-2 2.046041+2 1.584893-2 1.439710+2 1.778279-2 1.006097+2 2.018366-2 6.732002+1 2.290868-2 4.470171+1 2.600160-2 2.947111+1 2.985383-2 1.856533+1 3.427678-2 1.160828+1 4.000000-2 6.813609+0 4.677351-2 3.939903+0 5.623413-2 2.050128+0 6.918310-2 9.751185-1 1.428894-1 7.063750-2 1.757924-1 3.357578-2 2.089296-1 1.819612-2 2.426610-1 1.077597-2 2.786121-1 6.692973-3 3.162278-1 4.356786-3 3.548134-1 2.969158-3 3.981072-1 2.038244-3 4.415705-1 1.462882-3 4.897788-1 1.057165-3 5.432503-1 7.692199-4 5.956621-1 5.839786-4 6.456542-1 4.626943-4 7.079458-1 3.573157-4 8.035261-1 2.530744-4 8.609938-1 2.089719-4 9.120108-1 1.793006-4 9.549926-1 1.595579-4 1.000000+0 1.429100-4 1.047129+0 1.288943-4 1.109175+0 1.141399-4 1.174898+0 1.017951-4 1.258925+0 8.940459-5 1.364583+0 7.742426-5 1.531087+0 6.345817-5 1.840772+0 4.583832-5 2.065380+0 3.764107-5 2.344229+0 3.053059-5 2.691535+0 2.447851-5 3.126079+0 1.942108-5 3.630781+0 1.552353-5 4.216965+0 1.250057-5 4.954502+0 9.976472-6 5.888437+0 7.894716-6 7.000000+0 6.293000-6 8.511380+0 4.909590-6 1.035142+1 3.858407-6 1.303167+1 2.931586-6 1.603245+1 2.305240-6 2.041738+1 1.753054-6 2.660725+1 1.308004-6 3.672823+1 9.232771-7 5.432503+1 6.103504-7 8.609938+1 3.783240-7 1.566751+2 2.050527-7 3.126079+2 1.019015-7 6.237348+2 5.085051-8 4.954502+3 6.378082-9 1.000000+5 3.15880-10 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.252900-4 1.252900-4 1.000000+5 1.252900-4 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.252900-4 0.0 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 1.149000-4 1.129225+6 1.150000-4 1.163490+6 1.154000-4 1.263582+6 1.158000-4 1.363818+6 1.162000-4 1.464498+6 1.166000-4 1.564248+6 1.170000-4 1.663548+6 1.174898-4 1.783299+6 1.180000-4 1.905168+6 1.185000-4 2.021382+6 1.190300-4 2.140647+6 1.195000-4 2.242368+6 1.200000-4 2.345868+6 1.207000-4 2.481594+6 1.212000-4 2.571312+6 1.218000-4 2.670336+6 1.225000-4 2.773302+6 1.232000-4 2.862186+6 1.240000-4 2.945940+6 1.247000-4 3.003738+6 1.255000-4 3.052482+6 1.262000-4 3.080778+6 1.270000-4 3.097860+6 1.280000-4 3.098652+6 1.290000-4 3.079776+6 1.303167-4 3.030803+6 1.315000-4 2.969058+6 1.330000-4 2.874348+6 1.350000-4 2.731698+6 1.373000-4 2.559486+6 1.400000-4 2.360538+6 1.450000-4 2.024358+6 1.513561-4 1.665145+6 1.566751-4 1.414643+6 1.621810-4 1.195290+6 1.840772-4 6.309890+5 1.905461-4 5.322647+5 1.980000-4 4.432710+5 2.041738-4 3.851343+5 2.100000-4 3.404400+5 2.162719-4 3.012120+5 2.220000-4 2.719518+5 2.280000-4 2.468076+5 2.330000-4 2.294400+5 2.380000-4 2.148156+5 2.430000-4 2.025312+5 2.483133-4 1.916593+5 2.540973-4 1.819851+5 2.600160-4 1.740361+5 2.660725-4 1.675979+5 2.730000-4 1.619550+5 2.800000-4 1.577544+5 2.880000-4 1.543992+5 2.951209-4 1.524161+5 3.054921-4 1.507694+5 3.162278-4 1.501522+5 3.311311-4 1.504354+5 3.548134-4 1.522214+5 4.000000-4 1.560258+5 4.265795-4 1.572038+5 4.570882-4 1.573564+5 4.850000-4 1.564824+5 5.150000-4 1.546098+5 5.500000-4 1.514382+5 5.900000-4 1.469382+5 6.309573-4 1.416977+5 6.760830-4 1.354555+5 7.300000-4 1.278264+5 7.852356-4 1.200531+5 8.511380-4 1.110968+5 9.200000-4 1.023456+5 1.000000-3 9.297300+4 1.083927-3 8.415774+4 1.190000-3 7.434060+4 1.288250-3 6.647514+4 1.412538-3 5.795856+4 1.548817-3 5.014905+4 1.690000-3 4.344960+4 1.862087-3 3.678481+4 2.070000-3 3.041526+4 2.317395-3 2.460395+4 2.600160-3 1.963175+4 2.917427-3 1.551596+4 3.235937-3 1.245449+4 3.589219-3 9.922099+3 3.981072-3 7.842544+3 4.415704-3 6.154074+3 4.897788-3 4.793180+3 5.432503-3 3.704549+3 6.025596-3 2.841951+3 6.683439-3 2.164619+3 7.413102-3 1.637229+3 8.222426-3 1.229796+3 9.120108-3 9.175035+2 1.011579-2 6.800164+2 1.135011-2 4.838051+2 1.273503-2 3.415340+2 1.428894-2 2.392766+2 1.603245-2 1.663946+2 1.798871-2 1.148865+2 2.018366-2 7.878076+1 2.290868-2 5.162393+1 2.600160-2 3.357415+1 2.951209-2 2.168067+1 3.388442-2 1.335436+1 3.890451-2 8.164017+0 4.466836-2 4.951885+0 5.248075-2 2.741338+0 6.531306-2 1.217126+0 1.333521-1 8.407292-2 1.603245-1 4.240087-2 1.862087-1 2.446980-2 2.137962-1 1.483110-2 2.426610-1 9.437831-3 2.722701-1 6.301226-3 3.019952-1 4.408746-3 3.349654-1 3.106081-3 3.715352-1 2.204214-3 4.120975-1 1.576413-3 4.518559-1 1.178373-3 4.954502-1 8.869608-4 5.432503-1 6.724300-4 5.888437-1 5.311511-4 6.382635-1 4.226621-4 6.918310-1 3.386248-4 7.585776-1 2.647861-4 8.709636-1 1.841968-4 9.225714-1 1.593409-4 9.660509-1 1.426580-4 1.011579+0 1.284620-4 1.071519+0 1.135177-4 1.135011+0 1.009532-4 1.216186+0 8.831910-5 1.318257+0 7.614039-5 1.883649+0 4.061206-5 2.113489+0 3.339741-5 2.398833+0 2.712088-5 2.754229+0 2.177192-5 3.198895+0 1.729422-5 3.715352+0 1.383979-5 4.315191+0 1.115732-5 5.069907+0 8.913662-6 6.025596+0 7.060891-6 7.161434+0 5.635347-6 8.709636+0 4.399273-6 1.059254+1 3.460553-6 1.333521+1 2.631292-6 1.659587+1 2.043427-6 2.113489+1 1.555484-6 2.691535+1 1.191256-6 3.715352+1 8.410397-7 5.495409+1 5.561111-7 8.709636+1 3.447722-7 1.621810+2 1.825708-7 3.235937+2 9.075990-8 6.456542+2 4.529532-8 5.128614+3 5.682016-9 1.000000+5 2.91310-10 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 1.149000-4 1.149000-4 1.000000+5 1.149000-4 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 1.149000-4 0.0 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.500000+1 0.0 0.0 0.0 8.290000-6 6.294924+5 8.330000-6 6.235920+5 8.609938-6 6.016293+5 8.912509-6 5.835270+5 9.200000-6 5.710560+5 9.440609-6 5.636683+5 9.700000-6 5.589030+5 1.000000-5 5.566710+5 1.023293-5 5.573436+5 1.060000-5 5.622780+5 1.100000-5 5.724090+5 1.135011-5 5.849173+5 1.174898-5 6.029426+5 1.216186-5 6.255849+5 1.258925-5 6.528130+5 1.310000-5 6.900150+5 1.365000-5 7.352250+5 1.440000-5 8.049420+5 1.513561-5 8.815116+5 1.610000-5 9.936840+5 1.737801-5 1.161366+6 1.927525-5 1.447538+6 2.350000-5 2.219283+6 2.540973-5 2.610948+6 2.730000-5 3.010710+6 2.900000-5 3.371220+6 3.054921-5 3.692966+6 3.230000-5 4.041720+6 3.400000-5 4.360650+6 3.589219-5 4.689616+6 3.758374-5 4.958539+6 3.981072-5 5.276088+6 4.220000-5 5.574930+6 4.466836-5 5.842261+6 4.731513-5 6.083548+6 5.011872-5 6.292193+6 5.300000-5 6.455430+6 5.580000-5 6.558810+6 5.821032-5 6.604713+6 6.070000-5 6.609480+6 6.309573-5 6.571028+6 6.580000-5 6.480570+6 6.839116-5 6.353986+6 7.079458-5 6.204812+6 7.328245-5 6.021536+6 7.585776-5 5.809182+6 7.852356-5 5.572325+6 8.150000-5 5.290710+6 8.413951-5 5.029965+6 8.709636-5 4.733020+6 9.015711-5 4.424373+6 9.332543-5 4.104483+6 9.660509-5 3.777326+6 1.000000-4 3.448800+6 1.030000-4 3.168510+6 1.060000-4 2.898543+6 1.090000-4 2.641581+6 1.122018-4 2.384092+6 1.150000-4 2.173365+6 1.180000-4 1.961979+6 1.216186-4 1.727745+6 1.250000-4 1.529784+6 1.288250-4 1.328677+6 1.318257-4 1.186436+6 1.350000-4 1.050063+6 1.390000-4 8.977470+5 1.428894-4 7.684050+5 1.465000-4 6.628800+5 1.500000-4 5.727210+5 1.540000-4 4.830030+5 1.570000-4 4.240500+5 1.603245-4 3.660734+5 1.640590-4 3.092090+5 1.678804-4 2.591564+5 1.705000-4 2.291136+5 1.740000-4 1.937706+5 1.770000-4 1.673661+5 1.800000-4 1.441641+5 1.835000-4 1.207317+5 1.865000-4 1.034385+5 1.900000-4 8.613450+4 1.940200-4 6.958111+4 1.980000-4 5.620830+4 2.065380-4 3.576998+4 2.100000-4 3.008550+4 2.123000-4 2.698959+4 2.145000-4 2.448456+4 2.165000-4 2.256186+4 2.185000-4 2.094969+4 2.200000-4 1.992954+4 2.215000-4 1.906047+4 2.230000-4 1.833315+4 2.247000-4 1.766901+4 2.263000-4 1.718889+4 2.280000-4 1.682175+4 2.297500-4 1.658649+4 2.310000-4 1.650093+4 2.325000-4 1.648293+4 2.340000-4 1.655139+4 2.355000-4 1.670037+4 2.371374-4 1.694839+4 2.388000-4 1.728465+4 2.410000-4 1.784907+4 2.430000-4 1.846932+4 2.458000-4 1.948995+4 2.630268-4 2.764558+4 2.722701-4 3.290405+4 2.818383-4 3.892055+4 2.884032-4 4.332823+4 2.951209-4 4.801413+4 3.000000-4 5.149170+4 3.054921-4 5.463334+4 3.126079-4 5.852779+4 3.198895-4 6.227730+4 3.273407-4 6.584158+4 3.349654-4 6.918518+4 3.427678-4 7.227828+4 3.507519-4 7.509725+4 3.589219-4 7.762493+4 3.696900-4 8.042663+4 3.801894-4 8.261599+4 3.935501-4 8.470525+4 4.120975-4 8.684594+4 4.265795-4 8.787601+4 4.415704-4 8.831895+4 4.570882-4 8.821502+4 4.731513-4 8.761506+4 4.897788-4 8.657746+4 5.188000-4 8.420281+4 5.432503-4 8.175021+4 5.688529-4 7.883939+4 6.000000-4 7.502400+4 6.309573-4 7.113959+4 6.683439-4 6.643777+4 7.079458-4 6.159165+4 7.498942-4 5.672210+4 8.000000-4 5.131650+4 8.511380-4 4.629664+4 9.120108-4 4.096966+4 9.772372-4 3.599376+4 1.047129-3 3.140483+4 1.122018-3 2.722253+4 1.202264-3 2.345044+4 1.303167-3 1.955851+4 1.412538-3 1.619317+4 1.531087-3 1.331485+4 1.659587-3 1.087812+4 1.798871-3 8.830894+3 1.972423-3 6.906864+3 2.162719-3 5.364043+3 2.371374-3 4.135271+3 2.600160-3 3.164368+3 2.851018-3 2.403552+3 3.090295-3 1.877885+3 3.388442-3 1.406188+3 3.715352-3 1.045590+3 4.120975-3 7.434190+2 4.570882-3 5.252576+2 5.069907-3 3.683989+2 5.623413-3 2.564831+2 6.237348-3 1.771989+2 6.918310-3 1.215336+2 7.673615-3 8.278180+1 8.511380-3 5.601111+1 9.549926-3 3.602029+1 1.083927-2 2.199188+1 1.230269-2 1.332300+1 1.396368-2 8.006754+0 1.584893-2 4.773398+0 1.778279-2 2.961266+0 2.018366-2 1.734130+0 2.317395-2 9.596820-1 2.691535-2 5.015272-1 3.273407-2 2.126351-1 3.981072-2 8.945112-2 5.128614-2 2.891898-2 9.015711-2 2.319277-3 1.148154-1 7.914381-4 1.396368-1 3.333818-4 1.548817-1 2.121398-4 1.737801-1 1.293721-4 1.972423-1 7.567584-5 2.264644-1 4.241060-5 2.540973-1 2.635509-5 2.851018-1 1.649905-5 3.162278-1 1.090283-5 3.507519-1 7.258254-6 3.890451-1 4.869183-6 4.265795-1 3.437693-6 4.677351-1 2.443633-6 5.188000-1 1.678196-6 5.623413-1 1.261354-6 6.025596-1 9.941549-7 6.456542-1 7.923550-7 6.998420-1 6.130476-7 7.673615-1 4.608798-7 8.000000-1 4.058600-7 8.511380-1 3.315431-7 8.912509-1 2.867749-7 9.332543-1 2.497196-7 9.660509-1 2.263686-7 1.000000+0 2.063800-7 1.035142+0 1.893609-7 1.071519+0 1.747435-7 1.109175+0 1.620811-7 1.161449+0 1.476267-7 1.216186+0 1.353423-7 1.303167+0 1.197687-7 1.412538+0 1.047166-7 1.500000+0 9.504100-8 1.927525+0 6.113994-8 2.162719+0 5.033274-8 2.483133+0 4.017417-8 2.851018+0 3.230911-8 3.311311+0 2.570802-8 3.845918+0 2.060840-8 4.466836+0 1.664099-8 5.308844+0 1.310753-8 6.309573+0 1.040469-8 7.585776+0 8.198394-9 9.225714+0 6.414421-9 1.122018+1 5.056792-9 1.412538+1 3.852201-9 1.862087+1 2.807577-9 2.511886+1 2.011469-9 3.548134+1 1.383560-9 5.188000+1 9.25036-10 8.128305+1 5.79776-10 1.428894+2 3.25253-10 2.722701+2 1.69161-10 5.432503+2 8.43703-11 4.315191+3 1.05762-11 1.000000+5 4.56180-13 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.500000+1 0.0 0.0 0.0 8.290000-6 8.290000-6 1.000000+5 8.290000-6 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.500000+1 0.0 0.0 0.0 8.290000-6 0.0 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.600000+1 0.0 0.0 0.0 7.000000-6 1.047136+6 7.244360-6 1.003906+6 7.420000-6 9.785160+5 7.673615-6 9.495219+5 7.920000-6 9.291400+5 8.200000-6 9.135200+5 8.420000-6 9.066320+5 8.709636-6 9.034160+5 9.015711-6 9.064224+5 9.350000-6 9.164720+5 9.700000-6 9.335080+5 1.010000-5 9.600040+5 1.050000-5 9.929360+5 1.100000-5 1.042128+6 1.150000-5 1.099160+6 1.202264-5 1.166136+6 1.273503-5 1.268230+6 1.355400-5 1.399217+6 1.462177-5 1.589567+6 1.603245-5 1.871416+6 1.819701-5 2.364226+6 2.238721-5 3.484657+6 2.454709-5 4.112934+6 2.650000-5 4.688000+6 2.818383-5 5.172789+6 3.000000-5 5.671880+6 3.162278-5 6.091779+6 3.349654-5 6.536743+6 3.548134-5 6.958020+6 3.758374-5 7.353070+6 3.981072-5 7.713652+6 4.220000-5 8.040920+6 4.500000-5 8.359200+6 4.786301-5 8.610655+6 5.080000-5 8.797960+6 5.308844-5 8.892108+6 5.580000-5 8.939160+6 5.821032-5 8.925395+6 6.070000-5 8.856200+6 6.309573-5 8.734246+6 6.580000-5 8.541800+6 6.839116-5 8.311981+6 7.079458-5 8.061071+6 7.328245-5 7.771377+6 7.585776-5 7.451198+6 7.852356-5 7.102768+6 8.150000-5 6.697240+6 8.413951-5 6.332270+6 8.709636-5 5.924037+6 9.015711-5 5.502380+6 9.332543-5 5.071888+6 9.660509-5 4.640416+6 9.950000-5 4.272240+6 1.023293-4 3.924942+6 1.050000-4 3.611812+6 1.083927-4 3.237518+6 1.110000-4 2.967300+6 1.135011-4 2.722405+6 1.171900-4 2.388884+6 1.205000-4 2.118020+6 1.240000-4 1.858464+6 1.278000-4 1.606248+6 1.315000-4 1.389476+6 1.350000-4 1.208020+6 1.384600-4 1.048577+6 1.415000-4 9.237120+5 1.450000-4 7.963360+5 1.480000-4 6.996320+5 1.513561-4 6.034759+5 1.550000-4 5.121240+5 1.584893-4 4.362589+5 1.621810-4 3.669008+5 1.650000-4 3.205468+5 1.680000-4 2.768396+5 1.705000-4 2.444884+5 1.740000-4 2.048344+5 1.770000-4 1.755076+5 1.800000-4 1.499568+5 1.835000-4 1.243744+5 1.865000-4 1.056880+5 1.905461-4 8.465356+4 1.950000-4 6.623520+4 2.018366-4 4.579643+4 2.050000-4 3.899524+4 2.070000-4 3.543176+4 2.093350-4 3.192004+4 2.113489-4 2.945656+4 2.139800-4 2.689927+4 2.162719-4 2.515886+4 2.187762-4 2.367104+4 2.213095-4 2.252465+4 2.238721-4 2.166772+4 2.248000-4 2.142269+4 2.264644-4 2.106116+4 2.290868-4 2.067594+4 2.317395-4 2.049095+4 2.344229-4 2.049143+4 2.371374-4 2.066788+4 2.398833-4 2.101517+4 2.426610-4 2.153192+4 2.454709-4 2.222008+4 2.483133-4 2.308453+4 2.511886-4 2.413287+4 2.540973-4 2.537520+4 2.570396-4 2.682391+4 2.600160-4 2.849355+4 2.630268-4 3.040066+4 2.660725-4 3.256351+4 2.691535-4 3.500184+4 2.722701-4 3.773652+4 2.754229-4 4.078908+4 2.818383-4 4.793371+4 3.000000-4 7.523760+4 3.151200-4 8.311881+4 3.273407-4 8.924722+4 3.388442-4 9.471465+4 3.507519-4 9.997592+4 3.630781-4 1.049080+5 3.758374-4 1.093796+5 3.890451-4 1.132549+5 4.000000-4 1.158468+5 4.120975-4 1.169977+5 4.265795-4 1.176634+5 4.415704-4 1.176565+5 4.570882-4 1.170358+5 4.786301-4 1.153872+5 5.011872-4 1.129108+5 5.248075-4 1.097178+5 5.495409-4 1.059132+5 5.754399-4 1.016126+5 6.095369-4 9.572288+4 6.456542-4 8.946272+4 6.839116-4 8.298342+4 7.244360-4 7.645930+4 7.673615-4 7.000853+4 8.128305-4 6.371638+4 8.709636-4 5.648989+4 9.332543-4 4.970790+4 1.000000-3 4.342950+4 1.071519-3 3.769576+4 1.155000-3 3.209284+4 1.244515-3 2.715971+4 1.348963-3 2.251583+4 1.462177-3 1.853198+4 1.603245-3 1.472271+4 1.737801-3 1.195510+4 1.883649-3 9.642626+3 2.018366-3 7.975479+3 2.187762-3 6.343546+3 2.398833-3 4.846106+3 2.630268-3 3.675147+3 2.951209-3 2.582953+3 3.273407-3 1.866684+3 3.630781-3 1.338599+3 4.000000-3 9.739812+2 4.415704-3 6.986873+2 4.897788-3 4.895192+2 5.432503-3 3.403189+2 6.025596-3 2.348137+2 6.683439-3 1.608241+2 7.413102-3 1.093678+2 8.222426-3 7.386741+1 9.225714-3 4.739514+1 1.047129-2 2.885080+1 1.174898-2 1.825466+1 1.318257-2 1.147082+1 1.479108-2 7.156750+0 1.659587-2 4.432357+0 1.798871-2 3.153498+0 2.041738-2 1.831148+0 2.344229-2 1.004150+0 2.786121-2 4.702619-1 3.311311-2 2.184975-1 4.000000-2 9.370900-2 5.011872-2 3.374683-2 9.772372-2 1.612535-3 1.161449-1 7.393184-4 1.348963-1 3.788018-4 1.531088-1 2.165886-4 1.737801-1 1.247965-4 1.949845-1 7.611012-5 2.187762-1 4.672096-5 2.426610-1 3.031565-5 2.691535-1 1.981499-5 2.951209-1 1.367071-5 3.235937-1 9.502869-6 3.507519-1 6.958304-6 3.801894-1 5.127317-6 4.120975-1 3.802654-6 4.466836-1 2.839183-6 4.841724-1 2.134916-6 5.248075-1 1.616828-6 5.623413-1 1.282014-6 6.025596-1 1.023224-6 6.456542-1 8.241979-7 6.918310-1 6.683515-7 7.498942-1 5.272871-7 8.035261-1 4.324076-7 8.511380-1 3.650295-7 9.015711-1 3.102095-7 9.440609-1 2.740942-7 9.885531-1 2.438913-7 1.035142+0 2.187814-7 1.083927+0 1.976943-7 1.135011+0 1.797602-7 1.202264+0 1.607830-7 1.303167+0 1.388648-7 1.428894+0 1.184928-7 1.513561+0 1.074977-7 1.862087+0 7.457799-8 2.089296+0 6.127286-8 2.371374+0 4.972770-8 2.722701+0 3.989462-8 3.162278+0 3.167101-8 3.672823+0 2.533055-8 4.265795+0 2.040949-8 5.011872+0 1.629676-8 5.956621+0 1.290283-8 7.079458+0 1.029309-8 8.609938+0 8.031508-9 1.047129+1 6.314756-9 1.318257+1 4.799752-9 1.621810+1 3.775577-9 2.065380+1 2.872146-9 2.691535+1 2.143779-9 3.672823+1 1.532236-9 5.432503+1 1.012929-9 8.609938+1 6.27862-10 1.566751+2 3.40308-10 3.054921+2 1.73094-10 6.095369+2 8.63642-11 4.841724+3 1.08322-11 1.000000+5 5.24230-13 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.600000+1 0.0 0.0 0.0 7.000000-6 7.000000-6 1.000000+5 7.000000-6 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.600000+1 0.0 0.0 0.0 7.000000-6 0.0 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 5.506000-5 4.030540+5 5.559043-5 3.946438+5 5.660000-5 3.746020+5 5.821032-5 3.424716+5 6.095369-5 2.926710+5 6.531306-5 2.301268+5 6.839116-5 1.971623+5 7.079458-5 1.764907+5 7.328245-5 1.588062+5 7.585776-5 1.436752+5 7.900000-5 1.286042+5 8.222426-5 1.160861+5 8.609938-5 1.039501+5 9.015711-5 9.374778+4 9.500000-5 8.398880+4 1.000000-4 7.592680+4 1.059254-4 6.832426+4 1.120000-4 6.217600+4 1.174898-4 5.770000+4 1.244515-4 5.311899+4 1.318257-4 4.923538+4 1.412538-4 4.526221+4 1.580000-4 3.987080+4 1.905461-4 3.255589+4 2.454709-4 2.490956+4 3.000000-4 1.996166+4 3.507519-4 1.670078+4 4.216965-4 1.340509+4 4.897788-4 1.114176+4 5.888437-4 8.796933+3 6.918310-4 7.099535+3 8.128305-4 5.692632+3 9.772372-4 4.386632+3 1.174898-3 3.352395+3 1.412538-3 2.542878+3 1.737801-3 1.848416+3 2.187762-3 1.285905+3 2.754229-3 8.878254+2 3.507519-3 5.972843+2 4.415704-3 4.064321+2 5.432503-3 2.853810+2 6.683439-3 1.988608+2 8.128305-3 1.403088+2 9.549926-3 1.046366+2 1.148154-2 7.416738+1 1.412538-2 4.995626+1 1.757924-2 3.265563+1 2.238721-2 2.028355+1 2.691535-2 1.401104+1 3.090295-2 1.055533+1 3.672823-2 7.343492+0 4.365158-2 5.070507+0 5.248075-2 3.389287+0 6.309573-2 2.248755+0 7.673615-2 1.443000+0 9.225714-2 9.430246-1 1.161449-1 5.495155-1 1.531088-1 2.849810-1 2.570396-1 8.224900-2 3.198895-1 4.898153-2 3.845918-1 3.187642-2 4.570882-1 2.146427-2 5.248075-1 1.574424-2 6.095369-1 1.133963-2 7.079458-1 8.229112-3 8.222427-1 6.018060-3 9.332543-1 4.647579-3 1.071519+0 3.536018-3 1.250000+0 2.621000-3 1.428894+0 2.039095-3 1.603245+0 1.654364-3 1.819701+0 1.324139-3 2.089296+0 1.046320-3 2.371374+0 8.491399-4 2.722701+0 6.812599-4 3.162278+0 5.408536-4 3.672823+0 4.325737-4 4.265795+0 3.485342-4 5.011872+0 2.783009-4 5.956621+0 2.203447-4 7.079458+0 1.757735-4 8.609938+0 1.371552-4 1.035142+1 1.093503-4 1.303167+1 8.308454-5 1.603245+1 6.533309-5 2.041738+1 4.968386-5 2.660725+1 3.706878-5 3.715352+1 2.584726-5 5.495409+1 1.709060-5 8.709636+1 1.059596-5 1.584893+2 5.743773-6 3.162278+2 2.854774-6 6.309573+2 1.424566-6 5.011872+3 1.786953-7 1.000000+5 8.952500-9 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 5.506000-5 5.506000-5 1.000000+5 5.506000-5 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 5.506000-5 0.0 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 3.514000-5 9.928940+6 3.570000-5 9.216620+6 3.630781-5 8.549711+6 3.715352-5 7.771345+6 3.801894-5 7.111465+6 3.900000-5 6.481600+6 4.027170-5 5.809419+6 4.216965-5 5.006857+6 4.472100-5 4.176478+6 5.248075-5 2.572917+6 7.161434-5 9.803399+5 8.035261-5 6.901195+5 9.885531-5 3.709514+5 1.300000-4 1.643718+5 1.513561-4 1.053222+5 1.717908-4 7.321222+4 1.905461-4 5.473105+4 2.089296-4 4.252085+4 2.300000-4 3.291700+4 2.483133-4 2.701534+4 2.660725-4 2.274946+4 2.851018-4 1.928214+4 3.054921-4 1.645689+4 3.280000-4 1.408114+4 3.507519-4 1.224280+4 3.758374-4 1.068363+4 4.000000-4 9.513120+3 4.265795-4 8.494291+3 4.570882-4 7.571369+3 4.897788-4 6.795678+3 5.300000-4 6.051960+3 5.800000-4 5.347020+3 6.382635-4 4.726255+3 7.161434-4 4.108478+3 8.317638-4 3.454349+3 1.216186-3 2.247768+3 1.462177-3 1.812680+3 1.717908-3 1.490574+3 2.018366-3 1.216647+3 2.344229-3 1.000277+3 2.722701-3 8.164427+2 3.162278-3 6.613510+2 3.630781-3 5.406515+2 4.168694-3 4.388859+2 4.623810-3 3.732999+2 5.308844-3 2.982757+2 6.095369-3 2.364791+2 6.918310-3 1.897961+2 7.852356-3 1.513063+2 9.015711-3 1.172338+2 1.096478-2 8.079601+1 1.273503-2 6.035701+1 1.462177-2 4.578430+1 1.659587-2 3.529627+1 1.865000-2 2.759364+1 2.113489-2 2.101294+1 2.426610-2 1.543309+1 2.786121-2 1.124692+1 3.235937-2 7.919297+0 3.758374-2 5.532969+0 4.365158-2 3.836408+0 5.128614-2 2.565690+0 6.025596-2 1.703136+0 7.161434-2 1.089447+0 8.709636-2 6.515002-1 1.071519-1 3.752261-1 2.264644-1 4.996149-2 2.786121-1 2.876962-2 3.311311-1 1.828728-2 3.845918-1 1.243110-2 4.415705-1 8.764090-3 5.011872-1 6.403622-3 5.688529-1 4.712366-3 6.382635-1 3.591100-3 7.161434-1 2.756050-3 8.222427-1 2.023777-3 9.015711-1 1.655533-3 9.772372-1 1.397595-3 1.083927+0 1.134468-3 1.216186+0 9.061144-4 1.348963+0 7.454228-4 1.548817+0 5.795251-4 1.778279+0 4.537556-4 2.044000+0 3.573800-4 2.317395+0 2.902241-4 2.660725+0 2.325457-4 3.090295+0 1.843962-4 3.589219+0 1.473126-4 4.168694+0 1.185606-4 4.897788+0 9.456646-5 5.821032+0 7.479588-5 6.918310+0 5.960839-5 8.413951+0 4.646949-5 1.023293+1 3.650257-5 1.288250+1 2.772379-5 1.584893+1 2.179226-5 2.018366+1 1.656832-5 2.630268+1 1.235655-5 3.672823+1 8.614220-6 5.370318+1 5.763463-6 8.413951+1 3.614417-6 1.500000+2 1.999900-6 2.917427+2 1.019324-6 5.821032+2 5.085090-7 4.623810+3 6.376490-8 1.000000+5 2.947100-9 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 3.514000-5 3.514000-5 1.000000+5 3.514000-5 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 3.514000-5 0.0 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 2.389000-5 2.592762+7 2.400000-5 2.518096+7 2.440000-5 2.304688+7 2.483133-5 2.109207+7 2.540000-5 1.892012+7 2.600160-5 1.701013+7 2.660725-5 1.539763+7 2.754229-5 1.335720+7 2.851018-5 1.166681+7 2.985383-5 9.819873+6 3.150000-5 8.098920+6 3.388442-5 6.289043+6 3.758374-5 4.432865+6 4.415704-5 2.595074+6 4.954502-5 1.780454+6 5.432503-5 1.325397+6 5.900000-5 1.024540+6 6.309573-5 8.361755+5 6.760830-5 6.828029+5 7.244360-5 5.616749+5 7.673615-5 4.802516+5 8.128305-5 4.130884+5 8.609938-5 3.575330+5 9.120108-5 3.114122+5 9.660509-5 2.729697+5 1.023293-4 2.407693+5 1.096478-4 2.086971+5 1.174898-4 1.822707+5 1.260000-4 1.600740+5 1.350000-4 1.417752+5 1.450000-4 1.258692+5 1.566751-4 1.114766+5 1.698244-4 9.894683+4 1.883649-4 8.558487+4 2.137962-4 7.228430+4 2.454709-4 6.059371+4 4.216965-4 3.114143+4 5.128614-4 2.431505+4 6.165950-4 1.912313+4 7.244360-4 1.538719+4 8.609938-4 1.209493+4 1.011579-3 9.587404+3 1.188502-3 7.540987+3 1.396368-3 5.883373+3 1.640590-3 4.555410+3 1.927525-3 3.501053+3 2.290868-3 2.620310+3 2.691535-3 1.984672+3 3.162278-3 1.492173+3 3.672823-3 1.137191+3 4.265795-3 8.604459+2 4.954502-3 6.460849+2 5.688529-3 4.924034+2 6.531306-3 3.725972+2 7.498942-3 2.798718+2 8.609938-3 2.086639+2 9.885531-3 1.544511+2 1.148154-2 1.107376+2 1.318257-2 8.086969+1 1.500000-2 5.986362+1 1.717908-2 4.325219+1 1.972423-2 3.081410+1 2.264644-2 2.178142+1 2.600160-2 1.528081+1 3.000000-2 1.050514+1 3.467369-2 7.133176+0 4.027170-2 4.743050+0 4.677351-2 3.129047+0 5.495409-2 1.983380+0 6.382635-2 1.289752+0 7.585776-2 7.790697-1 9.332543-2 4.219410-1 1.148154-1 2.267549-1 1.972423-1 4.433548-2 2.426610-1 2.386491-2 2.851018-1 1.483891-2 3.311311-1 9.613630-3 3.801894-1 6.488250-3 4.315191-1 4.558529-3 4.841724-1 3.330078-3 5.432503-1 2.450207-3 6.025596-1 1.871332-3 6.683439-1 1.439232-3 7.413102-1 1.114465-3 8.709636-1 7.559128-4 9.332543-1 6.442034-4 9.885531-1 5.670626-4 1.059254+0 4.903345-4 1.148154+0 4.171451-4 1.250000+0 3.544700-4 1.380384+0 2.954172-4 1.737801+0 1.960757-4 1.972423+0 1.574992-4 2.238721+0 1.274395-4 2.570396+0 1.019169-4 2.951209+0 8.210147-5 3.427678+0 6.543705-5 4.000000+0 5.218800-5 4.677351+0 4.182194-5 5.559043+0 3.301079-5 6.606934+0 2.625592-5 7.943282+0 2.072839-5 9.660509+0 1.624665-5 1.188502+1 1.265399-5 1.479108+1 9.788720-6 1.927525+1 7.238377-6 2.570396+1 5.257009-6 3.630781+1 3.618160-6 5.370318+1 2.391203-6 8.413951+1 1.499637-6 1.479108+2 8.416616-7 2.851018+2 4.328485-7 5.688529+2 2.159125-7 4.518559+3 2.707239-8 1.000000+5 1.222700-9 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 2.389000-5 2.389000-5 1.000000+5 2.389000-5 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 2.389000-5 0.0 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 5.490000-6 9.813440+6 5.688529-6 8.818544+6 6.760830-6 5.110127+6 7.762471-6 3.326397+6 9.000000-6 2.117540+6 1.050000-5 1.333832+6 1.216186-5 8.650448+5 1.412538-5 5.604906+5 1.650000-5 3.601460+5 1.883649-5 2.486639+5 2.137962-5 1.758341+5 2.371374-5 1.333326+5 2.630268-5 1.018680+5 2.884032-5 8.077621+4 3.126079-5 6.639163+4 3.388442-5 5.495408+4 3.672823-5 4.582632+4 3.981072-5 3.848783+4 4.315191-5 3.257432+4 4.677351-5 2.778150+4 5.069907-5 2.386028+4 5.500000-5 2.058440+4 6.000000-5 1.770896+4 6.606934-5 1.510743+4 7.328245-5 1.282668+4 8.128305-5 1.097794+4 9.332543-5 8.992638+3 1.096478-4 7.199894+3 1.230269-4 6.178130+3 1.400000-4 5.237640+3 2.018366-4 3.373600+3 2.344229-4 2.789551+3 4.365158-4 1.239208+3 5.069907-4 1.014202+3 7.328245-4 6.086791+2 8.413951-4 4.994552+2 1.071519-3 3.499333+2 1.318257-3 2.560369+2 1.603245-3 1.892845+2 2.018366-3 1.315797+2 2.754229-3 7.964926+1 3.019952-3 6.790281+1 4.365158-3 3.666808+1 5.559043-3 2.430443+1 6.456542-3 1.873813+1 7.943282-3 1.296846+1 9.660509-3 9.094203+0 1.174898-2 6.328865+0 1.428894-2 4.370910+0 1.737801-2 2.995589+0 2.113489-2 2.037309+0 2.540973-2 1.407175+0 2.917427-2 1.060409+0 3.507519-2 7.212759-1 4.216965-2 4.867998-1 5.069907-2 3.260172-1 6.095369-2 2.165999-1 7.413102-2 1.391777-1 8.709636-2 9.608163-2 1.083927-1 5.764126-2 1.412538-1 3.078985-2 2.600160-1 7.134467-3 3.235937-1 4.251483-3 3.890451-1 2.768850-3 4.570882-1 1.915590-3 5.248075-1 1.405872-3 6.095369-1 1.013354-3 6.998420-1 7.543948-4 8.035261-1 5.657134-4 9.225714-1 4.275490-4 1.083927+0 3.111596-4 1.258925+0 2.327998-4 1.428894+0 1.835040-4 1.584893+0 1.519404-4 1.798871+0 1.215372-4 2.065380+0 9.598132-5 2.344229+0 7.784412-5 2.691535+0 6.241405-5 3.126079+0 4.952166-5 3.630781+0 3.958449-5 4.216965+0 3.187602-5 4.954502+0 2.543891-5 5.888437+0 2.013145-5 7.000000+0 1.604700-5 8.511380+0 1.251943-5 1.035142+1 9.838728-6 1.303167+1 7.475342-6 1.603245+1 5.878231-6 2.041738+1 4.470253-6 2.660725+1 3.335214-6 3.672823+1 2.354344-6 5.432503+1 1.556381-6 8.609938+1 9.647176-7 1.566751+2 5.228806-7 3.090295+2 2.628812-7 6.165950+2 1.311758-7 4.897788+3 1.645258-8 1.000000+5 8.05480-10 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 5.490000-6 5.490000-6 1.000000+5 5.490000-6 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 5.490000-6 0.0 1.000000+5 1.000000+5 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 8.848120-7 1.025500+0 1.247350-6 1.025800+0 1.594610-6 1.026100+0 2.000640-6 1.026600+0 2.820440-6 1.027100+0 3.837260-6 1.027500+0 4.806130-6 1.028100+0 6.543460-6 1.028750+0 8.848120-6 1.029500+0 1.210890-5 1.030100+0 1.522840-5 1.031000+0 2.083760-5 1.032000+0 2.851110-5 1.033200+0 3.993920-5 1.034000+0 4.902910-5 1.035300+0 6.655000-5 1.036640+0 8.848120-5 1.038200+0 1.194080-4 1.039700+0 1.551350-4 1.041500+0 2.064060-4 1.043800+0 2.864980-4 1.046400+0 3.986080-4 1.048300+0 4.962780-4 1.051200+0 6.731910-4 1.054080+0 8.848120-4 1.057700+0 1.206050-3 1.061100+0 1.568770-3 1.065100+0 2.076870-3 1.070400+0 2.897430-3 1.076200+0 4.004230-3 1.080600+0 5.000630-3 1.087100+0 6.737520-3 1.093710+0 8.848120-3 1.102600+0 1.226810-2 1.110700+0 1.600060-2 1.120600+0 2.140490-2 1.133300+0 2.976370-2 1.147500+0 4.109640-2 1.158200+0 5.107270-2 1.174100+0 6.825640-2 1.190110+0 8.848120-2 1.205100+0 1.101130-1 1.227500+0 1.473450-1 1.250000+0 1.905000-1 1.280300+0 2.572030-1 1.307700+0 3.253960-1 1.343000+0 4.231560-1 1.382200+0 5.429080-1 1.411700+0 6.394800-1 1.455800+0 7.918250-1 1.500000+0 9.515000-1 1.562500+0 1.183640+0 1.641100+0 1.478890+0 1.706900+0 1.724030+0 1.811600+0 2.105170+0 1.937200+0 2.548040+0 2.000000+0 2.766000+0 2.044000+0 2.918000+0 2.163500+0 3.319040+0 2.372600+0 3.976670+0 2.686300+0 4.868560+0 3.000000+0 5.674000+0 3.500000+0 6.837210+0 4.000000+0 7.892000+0 5.000000+0 9.741000+0 6.000000+0 1.131000+1 7.000000+0 1.272000+1 8.000000+0 1.399000+1 9.000000+0 1.516000+1 1.000000+1 1.624000+1 1.100000+1 1.724000+1 1.200000+1 1.817000+1 1.300000+1 1.904000+1 1.400000+1 1.986000+1 1.500000+1 2.063000+1 1.600000+1 2.134000+1 1.800000+1 2.264000+1 2.000000+1 2.380000+1 2.200000+1 2.486000+1 2.400000+1 2.583000+1 2.600000+1 2.671000+1 2.800000+1 2.752000+1 3.000000+1 2.826000+1 4.000000+1 3.131000+1 5.000000+1 3.357000+1 6.000000+1 3.532000+1 8.000000+1 3.790000+1 1.000000+2 3.972000+1 1.500000+2 4.258000+1 2.000000+2 4.428000+1 3.000000+2 4.627000+1 4.000000+2 4.740000+1 5.000000+2 4.815000+1 6.000000+2 4.868000+1 8.000000+2 4.939000+1 1.000000+3 4.984000+1 1.500000+3 5.050000+1 2.000000+3 5.086000+1 3.000000+3 5.123000+1 4.000000+3 5.147000+1 5.000000+3 5.161000+1 6.000000+3 5.170000+1 8.000000+3 5.182000+1 1.000000+4 5.190000+1 1.500000+4 5.199000+1 2.000000+4 5.206000+1 3.000000+4 5.210000+1 4.000000+4 5.215000+1 5.000000+4 5.217000+1 6.000000+4 5.218000+1 8.000000+4 5.219000+1 1.000000+5 5.220000+1 1 95000 7 8 2.420000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 9.502240-7 2.090400+0 1.290170-6 2.094700+0 1.672900-6 2.099900+0 2.225560-6 2.106600+0 3.095930-6 2.114000+0 4.283620-6 2.119500+0 5.333070-6 2.127900+0 7.232650-6 2.136250+0 9.502240-6 2.147000+0 1.302820-5 2.156900+0 1.692210-5 2.169000+0 2.258360-5 2.184500+0 3.139200-5 2.201800+0 4.343180-5 2.214800+0 5.411260-5 2.234200+0 7.279100-5 2.253680+0 9.502240-5 2.281500+0 1.330950-4 2.307000+0 1.748200-4 2.338200+0 2.350600-4 2.377400+0 3.255300-4 2.410200+0 4.140190-4 2.446800+0 5.266550-4 2.485900+0 6.630880-4 2.532900+0 8.486140-4 2.556430+0 9.502240-4 2.611900+0 1.211660-3 2.660400+0 1.464850-3 2.745300+0 1.960650-3 2.809000+0 2.374480-3 2.904500+0 3.058910-3 3.000000+0 3.818000-3 3.125000+0 4.922550-3 3.234400+0 5.988680-3 3.425800+0 8.061770-3 3.569300+0 9.772900-3 3.784700+0 1.255770-2 4.000000+0 1.555000-2 4.250000+0 1.920720-2 4.625000+0 2.495230-2 5.000000+0 3.092000-2 5.500000+0 3.910050-2 6.000000+0 4.738000-2 6.750000+0 5.968540-2 7.000000+0 6.373000-2 8.000000+0 7.952000-2 9.000000+0 9.458000-2 1.000000+1 1.089000-1 1.100000+1 1.223000-1 1.200000+1 1.350000-1 1.300000+1 1.469000-1 1.400000+1 1.582000-1 1.500000+1 1.689000-1 1.600000+1 1.790000-1 1.800000+1 1.976000-1 2.000000+1 2.146000-1 2.200000+1 2.300000-1 2.400000+1 2.441000-1 2.600000+1 2.571000-1 2.800000+1 2.691000-1 3.000000+1 2.802000-1 4.000000+1 3.259000-1 5.000000+1 3.602000-1 6.000000+1 3.871000-1 8.000000+1 4.272000-1 1.000000+2 4.561000-1 1.500000+2 5.032000-1 2.000000+2 5.323000-1 3.000000+2 5.676000-1 4.000000+2 5.886000-1 5.000000+2 6.029000-1 6.000000+2 6.133000-1 8.000000+2 6.276000-1 1.000000+3 6.371000-1 1.500000+3 6.512000-1 2.000000+3 6.593000-1 3.000000+3 6.680000-1 4.000000+3 6.732000-1 5.000000+3 6.763000-1 6.000000+3 6.785000-1 8.000000+3 6.815000-1 1.000000+4 6.834000-1 1.500000+4 6.859000-1 2.000000+4 6.874000-1 3.000000+4 6.888000-1 4.000000+4 6.897000-1 5.000000+4 6.902000-1 6.000000+4 6.906000-1 8.000000+4 6.909000-1 1.000000+5 6.912000-1 1 95000 7 8 2.420000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 95000 7 9 2.420000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 9.500000+1 1.000000+5 9.500000+1 5.000000+5 9.496200+1 1.000000+6 9.490000+1 1.375000+6 9.483580+1 1.500000+6 9.480700+1 1.750000+6 9.473310+1 2.000000+6 9.465900+1 2.375000+6 9.451650+1 2.500000+6 9.447400+1 2.875000+6 9.431260+1 3.000000+6 9.425400+1 3.250000+6 9.412100+1 3.625000+6 9.392460+1 4.000000+6 9.371900+1 4.437500+6 9.345850+1 4.812500+6 9.321850+1 5.000000+6 9.310200+1 5.500000+6 9.275150+1 5.875000+6 9.247460+1 6.437500+6 9.204480+1 6.500000+6 9.199400+1 7.000000+6 9.160500+1 7.875000+6 9.090420+1 9.000000+6 8.997600+1 1.000000+7 8.911800+1 1.250000+7 8.696200+1 1.500000+7 8.470800+1 1.750000+7 8.239600+1 2.000000+7 8.004300+1 2.250000+7 7.765780+1 2.500000+7 7.529900+1 2.875000+7 7.189180+1 3.000000+7 7.080500+1 3.500000+7 6.669480+1 4.000000+7 6.299100+1 4.500000+7 5.964140+1 4.750000+7 5.807210+1 5.000000+7 5.657500+1 5.750000+7 5.239780+1 6.000000+7 5.110600+1 6.750000+7 4.750550+1 7.000000+7 4.639800+1 8.000000+7 4.238600+1 9.000000+7 3.897200+1 1.000000+8 3.601800+1 1.109400+8 3.315990+1 1.125000+8 3.277550+1 1.203100+8 3.093280+1 1.250000+8 2.987600+1 1.359400+8 2.753850+1 1.437500+8 2.597600+1 1.453100+8 2.567180+1 1.500000+8 2.478300+1 1.625000+8 2.255940+1 1.750000+8 2.059560+1 2.000000+8 1.746100+1 2.171900+8 1.585310+1 2.289100+8 1.497460+1 2.429700+8 1.412040+1 2.500000+8 1.376700+1 2.812500+8 1.253600+1 2.875000+8 1.230560+1 2.937500+8 1.206720+1 3.000000+8 1.182000+1 3.125000+8 1.129830+1 3.500000+8 9.873600+0 3.812500+8 9.019460+0 3.937500+8 8.682180+0 4.000000+8 8.503700+0 4.125000+8 8.123970+0 4.750000+8 6.303640+0 5.000000+8 5.763800+0 5.125000+8 5.544100+0 5.343800+8 5.223070+0 5.630900+8 4.887240+0 6.000000+8 4.541100+0 6.500000+8 4.157860+0 7.000000+8 3.850500+0 7.625000+8 3.534300+0 7.875000+8 3.406830+0 8.000000+8 3.340400+0 8.250000+8 3.201520+0 8.468800+8 3.077180+0 8.851600+8 2.860960+0 9.500000+8 2.533860+0 1.000000+9 2.320200+0 1.031300+9 2.207250+0 1.089800+9 2.030640+0 1.141100+9 1.904450+0 1.205600+9 1.775010+0 1.250000+9 1.700630+0 1.259600+9 1.685930+0 1.319700+9 1.602710+0 1.384100+9 1.528410+0 1.461400+9 1.454930+0 1.500000+9 1.423300+0 1.625000+9 1.338410+0 1.859400+9 1.214320+0 2.000000+9 1.146500+0 2.139200+9 1.079150+0 2.272600+9 1.015560+0 2.440400+9 9.383630-1 2.600300+9 8.687380-1 2.750000+9 8.076600-1 2.750300+9 8.075410-1 2.959000+9 7.291290-1 3.086500+9 6.851230-1 3.325700+9 6.100760-1 3.535000+9 5.519670-1 3.718100+9 5.063190-1 4.038600+9 4.367570-1 4.278900+9 3.921180-1 4.639500+9 3.351930-1 5.000000+9 2.882800-1 5.375000+9 2.479460-1 5.703100+9 2.184210-1 6.277300+9 1.768590-1 7.031000+9 1.366790-1 8.000000+9 1.010100-1 9.000000+9 7.615120-2 1.00000+10 5.896700-2 1.27030+10 3.283250-2 1.55700+10 1.987920-2 2.15420+10 8.874010-3 3.13500+10 3.470130-3 1.00000+11 1.873000-4 1.68570+11 5.069520-5 3.34410+11 9.235110-6 8.62510+11 8.929060-7 2.83020+12 4.884610-8 1.00000+14 8.59560-12 3.16230+15 1.90995-15 1.00000+17 4.07370-19 1 95000 7 0 2.420000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.29000-11 1.000000+2 1.290000-9 1.000000+3 1.290000-7 1.000000+4 1.290000-5 1.000000+5 1.290000-3 5.000000+5 3.225000-2 1.000000+6 1.290000-1 1.375000+6 2.413990-1 1.500000+6 2.860000-1 1.750000+6 3.848760-1 2.000000+6 4.960000-1 2.375000+6 6.837280-1 2.500000+6 7.514000-1 2.875000+6 9.672320-1 3.000000+6 1.043100+0 3.250000+6 1.199610+0 3.625000+6 1.444710+0 4.000000+6 1.699000+0 4.437500+6 2.002910+0 4.812500+6 2.266670+0 5.000000+6 2.399000+0 5.500000+6 2.750300+0 5.875000+6 3.012030+0 6.437500+6 3.399880+0 6.500000+6 3.442590+0 7.000000+6 3.781500+0 7.875000+6 4.361080+0 9.000000+6 5.094300+0 1.000000+7 5.745000+0 1.250000+7 7.391900+0 1.500000+7 9.065000+0 1.750000+7 1.070000+1 2.000000+7 1.227700+1 2.250000+7 1.378820+1 2.500000+7 1.524600+1 2.875000+7 1.735310+1 3.000000+7 1.803300+1 3.500000+7 2.062370+1 4.000000+7 2.302700+1 4.500000+7 2.525950+1 4.750000+7 2.633040+1 5.000000+7 2.738000+1 5.750000+7 3.041670+1 6.000000+7 3.140100+1 6.750000+7 3.426180+1 7.000000+7 3.519000+1 8.000000+7 3.874000+1 9.000000+7 4.204000+1 1.000000+8 4.506700+1 1.109400+8 4.802970+1 1.125000+8 4.842220+1 1.203100+8 5.029210+1 1.250000+8 5.133800+1 1.359400+8 5.356070+1 1.437500+8 5.501190+1 1.453100+8 5.529010+1 1.500000+8 5.610600+1 1.625000+8 5.814920+1 1.750000+8 6.004210+1 2.000000+8 6.349500+1 2.171900+8 6.566630+1 2.289100+8 6.706130+1 2.429700+8 6.864420+1 2.500000+8 6.939900+1 2.812500+8 7.246080+1 2.875000+8 7.302220+1 2.937500+8 7.355880+1 3.000000+8 7.408800+1 3.125000+8 7.508210+1 3.500000+8 7.768800+1 3.812500+8 7.947810+1 3.937500+8 8.011760+1 4.000000+8 8.042500+1 4.125000+8 8.100260+1 4.750000+8 8.341730+1 5.000000+8 8.421300+1 5.125000+8 8.457760+1 5.343800+8 8.518280+1 5.630900+8 8.591840+1 6.000000+8 8.676300+1 6.500000+8 8.776760+1 7.000000+8 8.864500+1 7.625000+8 8.957300+1 7.875000+8 8.990130+1 8.000000+8 9.006200+1 8.250000+8 9.034730+1 8.468800+8 9.059070+1 8.851600+8 9.097060+1 9.500000+8 9.151640+1 1.000000+9 9.187100+1 1.031300+9 9.205810+1 1.089800+9 9.237540+1 1.141100+9 9.260650+1 1.205600+9 9.286100+1 1.250000+9 9.300850+1 1.259600+9 9.303890+1 1.319700+9 9.321010+1 1.384100+9 9.337490+1 1.461400+9 9.354270+1 1.500000+9 9.362200+1 1.625000+9 9.383570+1 1.859400+9 9.415700+1 2.000000+9 9.431600+1 2.139200+9 9.443370+1 2.272600+9 9.452470+1 2.440400+9 9.462150+1 2.600300+9 9.469900+1 2.750000+9 9.475410+1 2.750300+9 9.475420+1 2.959000+9 9.481330+1 3.086500+9 9.484070+1 3.325700+9 9.488930+1 3.535000+9 9.491460+1 3.718100+9 9.493070+1 4.038600+9 9.495710+1 4.278900+9 9.497150+1 4.639500+9 9.498110+1 5.000000+9 9.499000+1 5.375000+9 9.499150+1 5.703100+9 9.499280+1 6.277300+9 9.499480+1 7.031000+9 9.499730+1 8.000000+9 9.500000+1 9.000000+9 9.500000+1 1.00000+10 9.500000+1 1.27030+10 9.500000+1 1.55700+10 9.500000+1 2.15420+10 9.500000+1 3.13500+10 9.500000+1 1.00000+11 9.500000+1 1.68570+11 9.500000+1 3.34410+11 9.500000+1 8.62510+11 9.500000+1 2.83020+12 9.500000+1 1.00000+14 9.500000+1 3.16230+15 9.500000+1 1.00000+17 9.500000+1 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.300139-6 0.0 1.303339-6 1.059172-6 1.306539-6 2.095809-6 1.309739-6 3.828166-6 1.312939-6 6.454813-6 1.316139-6 1.004686-5 1.319339-6 1.443548-5 1.322540-6 1.914634-5 1.325740-6 2.344198-5 1.328940-6 2.649456-5 1.332140-6 2.764222-5 1.335340-6 2.662216-5 1.338540-6 2.366832-5 1.341740-6 1.942431-5 1.348141-6 1.029115-5 1.351341-6 6.643607-6 1.354541-6 3.959114-6 1.357741-6 2.177941-6 1.360941-6 1.105983-6 1.364141-6 0.0 1.981947-6 0.0 1.986825-6 3.846122-7 1.991704-6 7.610415-7 1.996582-6 1.390104-6 2.001460-6 2.343907-6 2.006338-6 3.648272-6 2.011217-6 5.241890-6 2.016095-6 6.952524-6 2.020973-6 8.512380-6 2.025852-6 9.620849-6 2.030730-6 1.003760-5 2.035608-6 9.667183-6 2.040487-6 8.594570-6 2.045365-6 7.053462-6 2.055122-6 3.736978-6 2.060000-6 2.412463-6 2.064878-6 1.437655-6 2.069756-6 7.908660-7 2.074635-6 4.016105-7 2.079513-6 0.0 2.429608-6 0.0 2.438579-6 3.133279+0 2.441569-6 4.164457+0 2.447549-6 7.606722+0 2.453529-6 1.282598+1 2.460257-6 2.105127+1 2.470734-6 3.689033+1 2.477823-6 4.695843+1 2.483979-6 5.285468+1 2.489820-6 5.478747+1 2.496358-6 5.195122+1 2.502628-6 4.525505+1 2.512883-6 2.997036+1 2.519780-6 1.988149+1 2.525291-6 1.320113+1 2.531271-6 7.866942+0 2.537251-6 4.327685+0 2.545563-6 1.342137+0 2.549212-6 3.690783-5 2.552600-6 3.837740-5 2.556630-6 3.945321-5 2.562772-6 3.799728-5 2.568913-6 3.378133-5 2.578126-6 2.436764-5 2.587338-6 1.468835-5 2.593480-6 9.482291-6 2.599622-6 5.650767-6 2.605763-6 3.108533-6 2.614976-6 7.902017-7 2.618047-6 0.0 2.832287-6 0.0 2.844487-6 7.274128+0 2.846229-6 8.302686+0 2.853201-6 1.516554+1 2.860172-6 2.557118+1 2.868015-6 4.196996+1 2.880228-6 7.354833+1 2.888493-6 9.362111+1 2.896157-6 1.056945+2 2.902961-6 1.089508+2 2.910007-6 1.037307+2 2.917195-6 9.074855+1 2.928170-6 6.289573+1 2.936857-6 4.076907+1 2.943828-6 2.631910+1 2.950799-6 1.568430+1 2.957771-6 8.628061+0 2.968227-6 2.193288+0 2.971713-6 0.0 3.324668-6 0.0 3.332851-6 3.86868-15 3.341034-6 7.65506-15 3.349217-6 1.39826-14 3.357401-6 2.35766-14 3.365584-6 3.66967-14 3.373767-6 5.27264-14 3.381950-6 6.99331-14 3.390134-6 8.56231-14 3.398317-6 9.67728-14 3.406500-6 1.00965-13 3.414683-6 9.72389-14 3.422866-6 8.64499-14 3.431050-6 7.09484-14 3.447416-6 3.75890-14 3.455599-6 2.42661-14 3.463783-6 1.44609-14 3.471966-6 7.95505-15 3.483742-6 2.26837-15 3.488332-6 3.61244-15 3.500892-6 1.33677-14 3.509466-6 2.44173-14 3.518041-6 4.11709-14 3.526616-6 6.40822-14 3.535191-6 9.20742-14 3.543766-6 1.22122-13 3.552340-6 1.49521-13 3.560915-6 1.68991-13 3.569490-6 1.76311-13 3.578065-6 1.69805-13 3.586640-6 1.50964-13 3.595214-6 1.23895-13 3.612364-6 6.56403-14 3.620939-6 4.23751-14 3.629514-6 2.52525-14 3.638088-6 1.38916-14 3.646663-6 7.05432-15 3.655238-6 0.0 3.772329-6 0.0 3.786257-6 1.24870-20 3.790899-6 1.65966-20 3.800184-6 3.03150-20 3.809469-6 5.11153-20 3.819879-6 8.37599-20 3.837934-6 1.53846-19 3.854835-6 8.907169-1 3.856827-6 9.946986-1 3.866274-6 1.816898+0 3.876311-6 3.169850+0 3.885703-6 4.889925+0 3.913802-6 1.117105+1 3.924308-6 1.265264+1 3.933401-6 1.306817+1 3.942714-6 1.250682+1 3.952991-6 1.087208+1 3.967862-6 7.535186+0 3.979633-6 4.884315+0 3.989080-6 3.153144+0 3.998526-6 1.879048+0 4.007973-6 1.033680+0 4.022143-6 2.627656-1 4.026866-6 0.0 4.042597-6 0.0 4.052547-6 6.462186-2 4.062497-6 1.278688-1 4.072448-6 2.335629-1 4.082398-6 3.938191-1 4.092348-6 6.129762-1 4.110687-6 1.122222+0 4.122678-6 1.439180+0 4.132776-6 1.620883+0 4.144397-6 1.670306+0 4.154595-6 1.576809+0 4.165642-6 1.349468+0 4.167237-6 1.319736+0 4.187905-6 1.554960+0 4.198061-6 1.966519+0 4.208494-6 2.797778+0 4.218973-6 4.072224+0 4.250162-6 8.950920+0 4.260311-6 1.001135+1 4.270421-6 1.036221+1 4.280377-6 9.944373+0 4.291011-6 8.738313+0 4.320762-6 3.870901+0 4.331018-6 2.498919+0 4.341274-6 1.489176+0 4.351531-6 8.192071-1 4.366915-6 2.082458-1 4.372043-6 4.105682-8 4.380533-6 0.0 4.613173-6 0.0 4.624806-6 1.483287-2 4.647573-6 8.655295-1 4.659312-6 1.607403+0 4.670738-6 2.725044+0 4.683804-6 4.591569+0 4.712627-6 9.646007+0 4.722022-6 1.113060+1 4.730793-6 1.219938+1 4.740618-6 1.289476+1 4.752962-6 1.279215+1 4.765441-6 1.176646+1 4.779084-6 9.882531+0 4.806940-6 5.370705+0 4.818324-6 3.803175+0 4.829707-6 2.549274+0 4.841090-6 1.608969+0 4.851574-6 8.202870-1 4.852474-6 7.615399-1 4.863064-6 4.686120-1 4.874553-6 2.577868-1 4.897531-6 7.009582-3 4.906529-6 1.113650-2 4.911246-6 1.474428-2 4.918547-6 5.480482-2 4.930564-6 1.248213-1 4.935423-6 1.550287-1 4.947511-6 2.693857-1 4.959600-6 4.352060-1 4.971688-6 6.531706-1 5.007953-6 1.408699+0 5.020042-6 1.563297+0 5.032130-6 1.606543+0 5.044218-6 1.530466+0 5.059888-6 1.306703+0 5.084953-6 8.604544-1 5.093023-6 7.511609-1 5.098811-6 6.964103-1 5.105406-6 6.515179-1 5.116749-6 6.307530-1 5.130173-6 6.845669-1 5.172350-6 1.057167+0 5.253196-6 1.552785+0 5.268536-6 1.577780+0 5.284717-6 1.515366+0 5.338617-6 1.026182+0 5.360099-6 9.006717-1 5.393546-6 7.953230-1 5.422245-6 7.807318-1 5.455137-6 7.936627-1 5.488194-6 8.544859-1 5.528527-6 9.831537-1 5.547556-6 1.084275+0 5.572360-6 1.270256+0 5.597402-6 1.472539+0 5.609786-6 1.534116+0 5.623008-6 1.546774+0 5.636650-6 1.501729+0 5.656079-6 1.345520+0 5.688384-6 1.021436+0 5.701886-6 9.103530-1 5.715389-6 8.276867-1 5.728892-6 7.716441-1 5.755897-6 7.003486-1 6.002867-6 6.398904-1 6.047193-6 6.701481-1 6.076744-6 7.294821-1 6.121069-6 8.622298-1 6.135845-6 8.914724-1 6.150620-6 9.004763-1 6.165395-6 8.864492-1 6.195118-6 8.011729-1 6.239272-6 6.591643-1 6.254047-6 6.290458-1 6.281271-6 6.049606-1 6.298373-6 5.986958-1 6.349207-6 6.525449-1 6.389780-6 6.977224-1 6.420376-6 6.975054-1 6.483577-6 6.371858-1 6.585827-6 6.310119-1 6.746812-6 5.998674-1 6.781046-6 6.234107-1 6.796999-6 6.441560-1 6.814078-6 6.808109-1 6.864871-6 8.531642-1 6.879867-6 9.082891-1 6.898215-6 9.494870-1 6.914435-6 9.591288-1 6.931164-6 9.381501-1 6.961541-6 8.358606-1 6.997289-6 6.946505-1 7.028522-6 6.073448-1 7.044599-6 5.815304-1 7.077408-6 5.487245-1 7.286561-6 5.265315-1 7.340365-6 5.429863-1 7.376235-6 5.765185-1 7.447975-6 6.715983-1 7.483845-6 6.708829-1 7.529229-6 6.072068-1 7.573520-6 5.429149-1 7.609390-6 5.213318-1 7.645259-6 5.251372-1 7.712819-6 5.650422-1 7.749960-6 5.661913-1 7.848000-6 5.373626-1 8.112131-6 5.108351-1 8.254816-6 4.757770-1 8.438477-6 4.937730-1 9.350000-6 4.511793-1 1.029404-5 4.346577-1 1.143180-5 4.448208-1 1.275134-5 4.908563-1 1.411738-5 5.746583-1 1.567591-5 7.096941-1 1.756850-5 9.340640-1 1.960994-5 1.248035+0 1.991951-5 1.303661+0 2.001757-5 3.405516+0 2.006659-5 5.137107+0 2.011562-5 7.758037+0 2.016465-5 1.133902+1 2.031174-5 2.468684+1 2.036709-5 2.787967+1 2.041554-5 2.876467+1 2.043277-5 2.841179+1 2.046742-5 3.318844+1 2.053336-5 3.950222+1 2.058365-5 4.876886+1 2.063709-5 6.665554+1 2.068853-5 9.255670+1 2.083826-5 1.916273+2 2.089355-5 2.148816+2 2.094220-5 2.212495+2 2.099061-5 2.120014+2 2.104388-5 1.852579+2 2.118716-5 8.375279+1 2.123746-5 5.462708+1 2.128775-5 3.319410+1 2.133804-5 1.897673+1 2.140479-5 7.542043+0 2.143863-5 1.659491+0 2.152669-5 1.973562+0 2.157942-5 2.277778+0 2.163215-5 2.733380+0 2.168998-5 3.425251+0 2.184305-5 5.654561+0 2.189577-5 6.183196+0 2.194850-5 6.389373+0 2.200123-5 6.228615+0 2.206728-5 5.585196+0 2.208061-5 5.417929+0 2.218931-5 5.224946+0 2.224366-5 5.678746+0 2.229801-5 6.865500+0 2.235769-5 9.123424+0 2.252825-5 1.767723+1 2.258196-5 1.945439+1 2.263607-5 2.020723+1 2.269147-5 1.970484+1 2.277852-5 1.702940+1 2.286613-5 1.381038+1 2.291468-5 1.249768+1 2.296130-5 1.164843+1 2.301649-5 1.127270+1 2.320527-5 1.191502+1 2.325430-5 1.221379+1 2.337349-5 1.216553+1 2.373829-5 1.107287+1 2.497752-5 9.799616+0 2.654440-5 8.821864+0 2.873894-5 8.250366+0 3.097470-5 8.145743+0 3.112718-5 1.729256+1 3.120818-5 2.556741+1 3.128442-5 3.729334+1 3.136488-5 5.431489+1 3.158938-5 1.112733+2 3.167320-5 1.245737+2 3.174600-5 1.281279+2 3.183216-5 1.210635+2 3.191498-5 1.051411+2 3.211836-5 5.309027+1 3.219570-5 3.701666+1 3.227304-5 2.525809+1 3.234702-5 1.772342+1 3.249950-5 8.249179+0 3.283960-5 8.633300+0 3.313593-5 9.459935+0 3.342104-5 1.084348+1 3.363638-5 1.289855+1 3.383373-5 1.494058+1 3.392726-5 1.541987+1 3.404663-5 1.531039+1 3.434045-5 1.406947+1 3.469244-5 1.383569+1 3.519141-5 1.403690+1 3.598579-5 1.329598+1 3.981072-5 1.294644+1 4.748623-5 1.373746+1 5.180840-5 1.456425+1 5.269888-5 1.528722+1 5.361765-5 1.495230+1 5.900000-5 1.574829+1 6.882302-5 1.629307+1 7.867200-5 1.570789+1 9.165626-5 1.368625+1 1.040129-4 1.105425+1 1.046529-4 1.213703+1 1.050369-4 1.349765+1 1.053129-4 1.506361+1 1.058313-4 3.597538+1 1.060905-4 5.189190+1 1.063497-4 7.459442+1 1.066413-4 1.089350+2 1.073456-4 2.053144+2 1.076733-4 2.344909+2 1.079442-4 2.397816+2 1.081917-4 2.287090+2 1.084676-4 1.997026+2 1.092011-4 9.445986+1 1.094603-4 6.443050+1 1.097195-4 4.235561+1 1.099787-4 2.770757+1 1.104971-4 9.871849+0 1.122025-4 1.069176+1 1.143094-4 1.037796+1 1.148779-4 2.282956+1 1.151623-4 3.324750+1 1.154690-4 5.068200+1 1.157547-4 7.262840+1 1.164085-4 1.329492+2 1.166366-4 1.518953+2 1.169378-4 1.670112+2 1.171930-4 1.701603+2 1.174858-4 1.609634+2 1.177302-4 1.447407+2 1.185298-4 7.118304+1 1.188111-4 5.002752+1 1.190925-4 3.447172+1 1.193816-4 2.399572+1 1.199366-4 1.168228+1 1.215154-4 1.270725+1 1.224253-4 1.324973+1 1.250267-4 1.327070+1 1.305651-4 1.395158+1 1.349617-4 1.384759+1 1.402201-4 1.291736+1 1.562285-4 8.869116+0 1.659587-4 6.930614+0 1.747575-4 5.556320+0 1.842454-4 4.417886+0 1.920655-4 3.707025+0 2.028124-4 2.990399+0 2.129307-4 2.524108+0 2.181170-4 2.384060+0 2.197075-4 2.415297+0 2.207458-4 2.519318+0 2.240625-4 3.202994+0 2.252600-4 3.305163+0 2.412809-4 2.975975+0 2.580540-4 2.819944+0 2.770268-4 2.805083+0 2.850187-4 2.863936+0 2.871470-4 2.989283+0 2.886545-4 3.193857+0 2.914472-4 3.747300+0 2.928259-4 3.887568+0 2.946556-4 3.835419+0 2.990098-4 3.581800+0 3.313467-4 3.686280+0 3.545717-4 3.858089+0 3.630781-4 4.184886+0 4.429869-4 4.685616+0 4.474280-4 4.905266+0 4.539930-4 5.669589+0 4.605613-4 5.597680+0 4.674150-4 6.113689+0 4.695663-4 6.114750+0 4.757000-4 5.833604+0 4.823000-4 5.873222+0 4.925000-4 6.242251+0 5.005886-4 6.864078+0 5.089370-4 7.963567+0 5.164668-4 9.428420+0 5.267647-4 1.216419+1 5.422484-4 1.753721+1 5.695000-4 2.768641+1 5.875000-4 3.287320+1 6.090372-4 3.713975+1 6.419607-4 4.056770+1 6.866865-4 4.223197+1 7.812905-4 4.142719+1 7.998800-4 4.102864+1 8.059774-4 4.239830+1 8.101171-4 4.483413+1 8.177028-4 5.049488+1 8.217253-4 5.076057+1 8.334121-4 4.484507+1 8.392795-4 4.387658+1 8.537498-4 4.424977+1 8.598929-4 4.587601+1 8.698830-4 4.932513+1 8.788546-4 4.723291+1 8.906620-4 4.516366+1 1.127315-3 3.917083+1 1.151977-3 4.068016+1 1.412660-3 3.383689+1 1.596526-3 3.052726+1 1.930301-3 2.503038+1 2.268127-3 2.078133+1 2.682337-3 1.697870+1 3.200272-3 1.359546+1 3.780933-3 1.094969+1 3.791458-3 1.092057+1 3.810122-3 1.157274+1 3.819455-3 1.217852+1 3.828787-3 1.315385+1 3.838488-3 1.464529+1 3.857449-3 1.881630+1 3.875718-3 2.336289+1 3.884780-3 2.518214+1 3.894112-3 2.646674+1 3.909398-3 2.715178+1 3.932670-3 2.634966+1 3.978878-3 2.438845+1 4.017597-3 2.453537+1 4.036412-3 2.538907+1 4.057522-3 2.757516+1 4.096400-3 3.277641+1 4.116530-3 3.371963+1 4.212269-3 3.125455+1 4.607572-3 2.749535+1 4.662874-3 2.858491+1 4.718592-3 3.018419+1 4.876908-3 2.922671+1 5.624061-3 2.354817+1 5.837509-3 2.358904+1 6.053924-3 2.255634+1 6.230969-3 2.235457+1 7.283561-3 1.783602+1 8.447648-3 1.431238+1 9.345983-3 1.228673+1 1.045754-2 1.036609+1 1.185144-2 8.546109+0 1.353764-2 6.954633+0 1.523987-2 5.777552+0 1.752309-2 4.633336+0 1.809736-2 4.421239+0 1.822838-2 4.543461+0 1.830544-2 4.843446+0 1.837770-2 5.395758+0 1.848749-2 6.731626+0 1.861430-2 8.394857+0 1.872583-2 9.288550+0 1.886718-2 9.612668+0 2.216441-2 7.385836+0 2.264058-2 7.173590+0 2.282265-2 7.389401+0 2.299173-2 8.073852+0 2.320331-2 9.111787+0 2.341162-2 9.527231+0 2.378135-2 9.948529+0 2.412682-2 1.046698+1 2.895155-2 8.004170+0 3.331050-2 6.435338+0 3.793696-2 5.230897+0 4.349079-2 4.199987+0 4.844470-2 3.522709+0 5.488493-2 2.871269+0 6.259363-2 2.308561+0 7.083916-2 1.879728+0 8.003940-2 1.531240+0 9.072120-2 1.240765+0 1.028086-1 1.004715+0 1.162606-1 8.164417-1 1.227129-1 7.520862-1 1.233809-1 7.788546-1 1.238399-1 8.436879-1 1.242037-1 9.447701-1 1.246203-1 1.132446+0 1.250371-1 1.399372+0 1.261813-1 2.282640+0 1.267287-1 2.588583+0 1.273769-1 2.777413+0 1.285331-1 2.836439+0 1.486033-1 2.283185+0 1.681026-1 1.886912+0 1.923801-1 1.532950+0 2.182123-1 1.262936+0 2.454709-1 1.054498+0 2.774618-1 8.767221-1 3.148820-1 7.270724-1 3.581007-1 6.034300-1 4.086142-1 5.015400-1 4.685668-1 4.171644-1 5.404723-1 3.471393-1 6.183723-1 2.942222-1 7.202778-1 2.465730-1 8.472331-1 2.063561-1 9.994379-1 1.740134-1 1.173413+0 1.453733-1 1.347258+0 1.240530-1 1.546860+0 1.058595-1 1.776032+0 9.033422-2 2.043727+0 7.689717-2 2.341267+0 6.578052-2 2.688134+0 5.613320-2 3.086391+0 4.790075-2 3.543651+0 4.087566-2 4.068655+0 3.488087-2 4.671441+0 2.976527-2 5.363532+0 2.539992-2 6.158159+0 2.167478-2 7.070513+0 1.849598-2 8.118035+0 1.578337-2 9.390870+0 1.335789-2 9.760024+0 1.277507-2 1.000000+1 2.647934-2 1 95000 7 0 2.420000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-9.462595+1 2.101394-6-9.135437+1 2.326892-6-8.690030+1 2.398171-6-8.143701+1 2.425144-6-7.529957+1 2.455585-6-5.931611+1 2.463527-6-5.823940+1 2.469998-6-6.085973+1 2.477134-6-6.845451+1 2.484658-6-8.148647+1 2.489820-6-9.177870+1 2.496024-6-8.616981+1 2.504302-6-7.344377+1 2.510616-6-6.787383+1 2.519132-6-6.607832+1 2.530617-6-7.065237+1 2.556630-6-8.444174+1 2.590409-6-9.120155+1 2.634975-6-9.469566+1 2.758257-6-8.439143+1 2.800579-6-7.674259+1 2.821392-6-6.923287+1 2.831425-6-6.241670+1 2.839258-6-5.509964+1 2.846229-6-4.914216+1 2.854072-6-4.133545+1 2.862569-6-3.442386+1 2.868015-6-3.214090+1 2.872399-6-3.257089+1 2.876511-6-3.475673+1 2.880228-6-3.885002+1 2.885852-6-4.868616+1 2.893191-6-6.792094+1 2.901475-6-9.474064+1 2.905505-6-8.035170+1 2.911398-6-6.087797+1 2.917910-6-4.351156+1 2.922914-6-3.418323+1 2.926454-6-2.948270+1 2.929885-6-2.681983+1 2.932935-6-2.562316+1 2.935876-6-2.539823+1 2.942085-6-2.784845+1 2.950799-6-3.524557+1 2.962454-6-4.621451+1 2.971277-6-5.365340+1 2.976855-6-5.891003+1 2.992843-6-6.656325+1 3.022743-6-7.387048+1 3.082788-6-8.057966+1 3.224648-6-8.643993+1 3.820867-6-9.510896+1 3.895900-6-9.061406+1 3.924814-6-9.463521+1 3.960740-6-8.564935+1 3.990260-6-8.540770+1 4.074935-6-9.158981+1 4.193674-6-9.483382+1 4.243625-6-9.497818+1 4.302997-6-8.556108+1 4.341274-6-8.618984+1 4.438673-6-9.052156+1 4.632622-6-9.504577+1 4.698596-6-9.191721+1 4.730793-6-9.470653+1 4.782261-6-8.489865+1 4.818324-6-8.404450+1 4.953555-6-9.025567+1 9.350000-6-9.334539+1 1.411738-5-9.575268+1 1.741176-5-9.108169+1 1.876356-5-8.445353+1 1.939140-5-7.688604+1 1.971212-5-6.928448+1 1.988670-5-6.207314+1 2.006659-5-4.936930+1 2.018917-5-3.985641+1 2.026397-5-3.612209+1 2.037777-5-3.299813+1 2.041554-5-3.054083+1 2.043062-5-2.826457+1 2.044304-5-2.553177+1 2.046742-5-2.251307+1 2.049868-5-1.897843+1 2.052542-5-1.512883+1 2.053965-5-1.185261+1 2.056165-5-7.540949+0 2.057265-5-5.263490+0 2.057815-5-3.977348+0 2.058994-5-5.480936-1 2.060094-5 1.868474+0 2.062569-5 6.799377+0 2.062982-5 7.749751+0 2.063709-5 9.931508+0 2.064298-5 1.120403+1 2.065329-5 1.288839+1 2.068853-5 1.767650+1 2.069659-5 1.824429+1 2.070364-5 1.834485+1 2.071599-5 1.788523+1 2.072524-5 1.709354+1 2.073912-5 1.527366+1 2.075301-5 1.281326+1 2.076327-5 1.051923+1 2.077225-5 8.070831+0 2.078011-5 5.621662+0 2.078698-5 3.240250+0 2.079902-5-1.491280+0 2.080804-5-5.554741+0 2.081481-5-8.932416+0 2.081989-5-1.168078+1 2.082750-5-1.623613+1 2.083321-5-2.017746+1 2.083826-5-2.431939+1 2.087215-5-4.890245+1 2.088479-5-6.006207+1 2.089882-5-7.327367+1 2.092861-5-9.923269+1 2.094751-5-7.958429+1 2.098441-5-4.663429+1 2.099061-5-4.004089+1 2.100131-5-3.087546+1 2.103629-5-4.384880+0 2.103887-5-2.185095+0 2.104388-5 1.398413+0 2.104858-5 4.423986+0 2.105739-5 9.536289+0 2.106510-5 1.354636+1 2.107184-5 1.675901+1 2.108365-5 2.179877+1 2.109250-5 2.513875+1 2.110578-5 2.950393+1 2.112757-5 3.513554+1 2.115364-5 3.920418+1 2.117459-5 4.017655+1 2.118716-5 3.918706+1 2.122488-5 3.444877+1 2.123746-5 3.154269+1 2.124374-5 2.976389+1 2.127675-5 2.226849+1 2.128775-5 1.890848+1 2.133804-5 4.774694+0 2.134433-5 2.755176+0 2.135533-5-1.383938-1 2.137183-5-4.039718+0 2.140479-5-1.148804+1 2.142124-5-1.556922+1 2.143645-5-2.014114+1 2.144156-5-2.227830+1 2.145666-5-2.660297+1 2.148549-5-3.273449+1 2.153988-5-4.136924+1 2.160578-5-4.920473+1 2.171637-5-5.864979+1 2.184305-5-6.538633+1 2.216893-5-7.626992+1 2.239173-5-8.560614+1 2.252825-5-8.517609+1 2.276271-5-7.620320+1 2.290254-5-7.646332+1 2.318489-5-8.104027+1 2.894311-5-9.483703+1 2.952106-5-9.660626+1 3.033072-5-8.878628+1 3.072000-5-8.012064+1 3.089854-5-7.225167+1 3.097470-5-6.596271+1 3.112718-5-5.253766+1 3.122605-5-4.273309+1 3.130899-5-3.612040+1 3.136488-5-3.360086+1 3.140936-5-3.401750+1 3.145519-5-3.685346+1 3.149129-5-4.068561+1 3.154876-5-4.983246+1 3.158462-5-5.810040+1 3.165521-5-7.801569+1 3.171324-5-9.711186+1 3.177183-5-7.587066+1 3.184883-5-5.122987+1 3.191498-5-3.401213+1 3.195311-5-2.679313+1 3.198696-5-2.208514+1 3.200872-5-1.973148+1 3.203049-5-1.788222+1 3.205246-5-1.649238+1 3.208129-5-1.538853+1 3.210909-5-1.529026+1 3.217636-5-1.808300+1 3.219570-5-1.964431+1 3.226458-5-2.542233+1 3.238298-5-3.722639+1 3.249352-5-4.673221+1 3.254136-5-5.173658+1 3.267628-5-5.944656+1 3.293607-5-6.794921+1 3.342104-5-7.663098+1 3.377233-5-7.905649+1 3.434045-5-7.779061+1 3.623927-5-8.043351+1 4.536477-5-8.289896+1 5.599461-5-8.203363+1 8.053998-5-7.907175+1 8.769391-5-8.052729+1 9.557097-5-7.197595+1 9.886999-5-6.522584+1 1.011919-4-5.697685+1 1.024626-4-4.954379+1 1.033313-4-4.189878+1 1.039170-4-3.442677+1 1.043969-4-2.585180+1 1.046529-4-2.006490+1 1.047809-4-1.670673+1 1.049729-4-1.093155+1 1.050369-4-8.715886+0 1.051059-4-6.131727+0 1.051576-4-4.051205+0 1.052352-4-5.305311-1 1.052741-4 1.536310+0 1.052935-4 2.721399+0 1.053291-4 5.478371+0 1.053604-4 7.391731+0 1.058313-4 2.889383+1 1.061229-4 4.345061+1 1.063821-4 5.377906+1 1.066413-4 5.845891+1 1.067552-4 5.734194+1 1.069137-4 5.181023+1 1.070072-4 4.657055+1 1.070973-4 3.994865+1 1.072408-4 2.607928+1 1.073046-4 1.889488+1 1.073456-4 1.368646+1 1.073763-4 9.262218+0 1.074028-4 4.808951+0 1.075243-4-1.320367+1 1.075945-4-2.446809+1 1.076394-4-3.282375+1 1.076733-4-4.002121+1 1.078871-4-7.893151+1 1.079580-4-6.370396+1 1.081484-4-2.966824+1 1.081762-4-2.361244+1 1.082207-4-1.561594+1 1.082460-4-1.148161+1 1.084234-4 1.520924+1 1.084385-4 1.770815+1 1.084949-4 2.516391+1 1.085909-4 3.527311+1 1.086987-4 4.413186+1 1.088273-4 5.192629+1 1.089786-4 5.752290+1 1.091385-4 5.930546+1 1.093996-4 5.272086+1 1.096911-4 3.826145+1 1.100068-4 1.944060+1 1.104275-4-1.516060+0 1.104623-4-3.587918+0 1.104797-4-4.754212+0 1.105144-4-7.602955+0 1.105402-4-9.279580+0 1.105997-4-1.252699+1 1.106587-4-1.529582+1 1.107471-4-1.895154+1 1.109035-4-2.447248+1 1.112185-4-3.337182+1 1.115874-4-4.159810+1 1.122025-4-5.256755+1 1.134759-4-7.354121+1 1.138363-4-8.084603+1 1.142353-4-7.025745+1 1.144686-4-6.090240+1 1.148779-4-4.718733+1 1.151623-4-3.627788+1 1.152142-4-3.406050+1 1.155027-4-2.460459+1 1.155617-4-2.325416+1 1.157860-4-1.957736+1 1.158703-4-1.955725+1 1.159604-4-2.052700+1 1.160617-4-2.266935+1 1.161463-4-2.530554+1 1.162580-4-3.025417+1 1.164085-4-3.874189+1 1.165282-4-4.707533+1 1.166200-4-5.563821+1 1.168709-4-8.145035+1 1.169519-4-7.097943+1 1.171412-4-4.880750+1 1.171930-4-4.127682+1 1.174421-4-1.229391+1 1.174573-4-1.024244+1 1.174858-4-6.928366+0 1.175358-4-1.661533+0 1.176670-4 1.118874+1 1.177009-4 1.496432+1 1.177302-4 1.771150+1 1.177852-4 2.216396+1 1.178755-4 2.827665+1 1.180045-4 3.516754+1 1.181704-4 4.146587+1 1.183277-4 4.497367+1 1.184919-4 4.574775+1 1.187760-4 4.089180+1 1.190617-4 3.180601+1 1.194355-4 1.783748+1 1.198128-4 6.319360+0 1.198747-4 4.202751+0 1.199056-4 2.999679+0 1.199366-4 1.491709+0 1.199529-4 6.222395-1 1.199693-4-8.052457-2 1.200060-4-1.456277+0 1.200703-4-3.512545+0 1.201667-4-6.134539+0 1.202631-4-8.408054+0 1.204136-4-1.147209+1 1.205569-4-1.400053+1 1.208591-4-1.841891+1 1.213108-4-2.346747+1 1.219659-4-2.861592+1 1.227625-4-3.283843+1 1.244515-4-3.908848+1 1.261492-4-4.312385+1 1.292187-4-4.721283+1 1.349617-4-5.022684+1 2.252600-4-6.255450+1 2.928259-4-6.648349+1 4.000000-4-7.051005+1 4.695663-4-7.685233+1 5.061050-4-8.343804+1 5.422484-4-9.039142+1 5.722500-4-8.904994+1 6.725079-4-7.031616+1 7.500000-4-6.110654+1 8.078335-4-5.795257+1 8.295264-4-5.848802+1 8.578858-4-5.469735+1 8.852644-4-5.298952+1 9.127475-4-4.956783+1 1.005971-3-4.289709+1 1.103859-3-3.881282+1 1.151977-3-3.840508+1 1.186160-3-3.577690+1 1.293285-3-3.171331+1 1.504072-3-2.722646+1 1.758556-3-2.381868+1 2.045414-3-2.181790+1 2.390164-3-2.097618+1 2.834230-3-2.140097+1 3.200272-3-2.297721+1 3.472011-3-2.531420+1 3.650428-3-2.813815+1 3.757108-3-3.120521+1 3.810122-3-3.406557+1 3.875718-3-4.054110+1 3.902897-3-4.098376+1 3.978878-3-3.494764+1 4.027429-3-3.401797+1 4.096400-3-3.546962+1 4.128087-3-3.404659+1 4.194304-3-2.893987+1 4.263694-3-2.595373+1 4.374719-3-2.315082+1 4.516027-3-2.122533+1 4.607572-3-2.113019+1 4.675509-3-2.178319+1 4.718592-3-2.088124+1 4.805037-3-1.806859+1 4.924115-3-1.596011+1 5.130789-3-1.369567+1 5.360220-3-1.210745+1 5.578954-3-1.129310+1 5.745415-3-1.140095+1 5.918800-3-1.007510+1 6.113660-3-9.607730+0 6.275931-3-8.466232+0 6.531306-3-7.418001+0 6.948243-3-6.314380+0 7.473885-3-5.438192+0 8.058422-3-4.842133+0 8.748000-3-4.440906+0 9.780207-3-4.227173+0 1.093327-2-4.252060+0 1.296984-2-4.712670+0 1.471810-2-5.401474+0 1.614736-2-6.257741+0 1.710552-2-7.177049+0 1.768880-2-8.121786+0 1.803014-2-9.106734+0 1.822838-2-1.021825+1 1.844837-2-1.193410+1 1.853896-2-1.211284+1 1.865939-2-1.150656+1 1.886718-2-9.759479+0 1.907764-2-8.669948+0 1.940681-2-7.757468+0 1.992445-2-6.954293+0 2.059444-2-6.434671+0 2.137121-2-6.243762+0 2.197682-2-6.385614+0 2.245312-2-6.821805+0 2.271443-2-7.421174+0 2.299173-2-8.280584+0 2.314420-2-8.270845+0 2.348572-2-7.406422+0 2.386036-2-6.962383+0 2.434811-2-5.648540+0 2.479717-2-4.908640+0 2.545285-2-4.206023+0 2.637712-2-3.525754+0 2.752681-2-2.931029+0 2.895155-2-2.425712+0 3.037932-2-2.079030+0 3.242848-2-1.737126+0 3.416960-2-1.540565+0 3.596500-2-1.399033+0 3.793696-2-1.298492+0 4.182214-2-1.207714+0 4.644443-2-1.189651+0 5.488493-2-1.281239+0 8.328118-2-1.805639+0 9.868459-2-2.143575+0 1.096211-1-2.482696+0 1.162606-1-2.822038+0 1.201219-1-3.169901+0 1.223062-1-3.532242+0 1.235460-1-3.930936+0 1.250371-1-4.587224+0 1.256409-1-4.652847+0 1.264238-1-4.430032+0 1.278882-1-3.712939+0 1.289812-1-3.356323+0 1.308622-1-2.994287+0 1.339801-1-2.627878+0 1.385702-1-2.299728+0 1.457017-1-1.982717+0 1.548817-1-1.740528+0 1.681026-1-1.538881+0 1.867939-1-1.386765+0 2.089296-1-1.302543+0 2.554996-1-1.251559+0 6.889083-1-1.370026+0 1.859734+0-1.410123+0 5.616308+0-1.423474+0 1.000000+1-1.423023+0 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.235108-1 1.013367-6 1.386693-1 1.024000-6 1.528619-1 1.029198-6 1.606157-1 1.036379-6 1.724188-1 1.043112-6 1.848502-1 1.049424-6 1.979395-1 1.055341-6 2.117174-1 1.060888-6 2.262178-1 1.066089-6 2.414766-1 1.070965-6 2.575307-1 1.075536-6 2.744186-1 1.079821-6 2.921808-1 1.083838-6 3.108607-1 1.087605-6 3.305044-1 1.091136-6 3.511594-1 1.094446-6 3.728722-1 1.097549-6 3.956872-1 1.100459-6 4.196484-1 1.103186-6 4.448030-1 1.108300-6 5.008897-1 1.112775-6 5.630217-1 1.116691-6 6.321962-1 1.120117-6 7.096173-1 1.123115-6 7.963420-1 1.125738-6 8.928188-1 1.128033-6 9.985683-1 1.130041-6 1.112150+0 1.131799-6 1.231388+0 1.133336-6 1.353716+0 1.134682-6 1.476527+0 1.135859-6 1.597439+0 1.136889-6 1.714454+0 1.138692-6 1.946652+0 1.145183-6 3.113508+0 1.146916-6 3.517154+0 1.148324-6 3.871978+0 1.149732-6 4.248304+0 1.152548-6 5.051077+0 1.152900-6 5.154707+0 1.155364-6 5.886928+0 1.156332-6 6.172719+0 1.158180-6 6.703085+0 1.159148-6 6.967965+0 1.160072-6 7.209297+0 1.161348-6 7.519721+0 1.162426-6 7.757340+0 1.163812-6 8.023899+0 1.165044-6 8.219133+0 1.166479-6 8.391562+0 1.168124-6 8.510177+0 1.169532-6 8.541130+0 1.170022-6 8.536282+0 1.171421-6 8.477974+0 1.172732-6 8.364324+0 1.173484-6 8.274046+0 1.174824-6 8.070303+0 1.176155-6 7.816961+0 1.178151-6 7.353495+0 1.179240-6 7.064669+0 1.180157-6 6.805040+0 1.181368-6 6.444085+0 1.182311-6 6.151474+0 1.183524-6 5.765058+0 1.184756-6 5.365799+0 1.186043-6 4.947185+0 1.187748-6 4.399496+0 1.189156-6 3.960481+0 1.190740-6 3.488069+0 1.191972-6 3.140114+0 1.194964-6 2.379045+0 1.195872-6 2.173669+0 1.196738-6 1.989054+0 1.197604-6 1.815614+0 1.198837-6 1.588003+0 1.200322-6 1.342642+0 1.201593-6 1.156734+0 1.203140-6 9.585245-1 1.204670-6 7.906754-1 1.205682-6 6.936752-1 1.206686-6 6.075579-1 1.207682-6 5.313149-1 1.208670-6 4.639882-1 1.209651-6 4.046768-1 1.210623-6 3.525411-1 1.211589-6 3.068050-1 1.212546-6 2.667566-1 1.214440-6 2.011872-1 1.216303-6 1.513540-1 1.218138-6 1.136515-1 1.219944-6 8.522766-2 1.221722-6 6.385970-2 1.223472-6 4.783637-2 1.226047-6 3.105798-2 1.229387-6 1.768417-2 1.230205-6 1.544443-2 1.231018-6 1.353870-2 1.231824-6 1.192581-2 1.232622-6 1.057270-2 1.233414-6 9.445519-3 1.234199-6 8.518464-3 1.234394-6 8.315256-3 1.235172-6 7.606237-3 1.235944-6 7.050090-3 1.236711-6 6.630355-3 1.237473-6 6.334278-3 1.238228-6 6.149809-3 1.238978-6 6.066565-3 1.239722-6 6.075592-3 1.241198-6 6.342241-3 1.242650-6 6.900025-3 1.244081-6 7.710555-3 1.245488-6 8.744238-3 1.246874-6 9.977598-3 1.249603-6 1.299519-2 1.252246-6 1.661759-2 1.254806-6 2.073301-2 1.294493-6 1.308467-1 1.299454-6 1.557146-1 1.303795-6 1.834029-1 1.307593-6 2.141769-1 1.310917-6 2.481978-1 1.313825-6 2.854206-1 1.316369-6 3.255095-1 1.318596-6 3.678455-1 1.320544-6 4.116118-1 1.322249-6 4.559110-1 1.325045-6 5.427297-1 1.328186-6 6.646497-1 1.334386-6 9.951662-1 1.337465-6 1.206413+0 1.339107-6 1.331063+0 1.340749-6 1.463007+0 1.344033-6 1.743537+0 1.344443-6 1.779651+0 1.347316-6 2.034055+0 1.348445-6 2.132927+0 1.350600-6 2.315592+0 1.351729-6 2.406316+0 1.352807-6 2.488594+0 1.353884-6 2.565809+0 1.355321-6 2.659498+0 1.356706-6 2.738258+0 1.357989-6 2.799723+0 1.359067-6 2.842043+0 1.360657-6 2.887800+0 1.362582-6 2.914874+0 1.364038-6 2.913970+0 1.366041-6 2.882268+0 1.367638-6 2.832250+0 1.369163-6 2.764881+0 1.370766-6 2.674983+0 1.371418-6 2.633250+0 1.373690-6 2.467085+0 1.375159-6 2.345159+0 1.376230-6 2.250562+0 1.377641-6 2.119994+0 1.378741-6 2.014868+0 1.380156-6 1.876946+0 1.381592-6 1.735464+0 1.383093-6 1.588210+0 1.385082-6 1.397237+0 1.386518-6 1.264166+0 1.386929-6 1.227113+0 1.389238-6 1.028218+0 1.390007-6 9.659039-1 1.393291-6 7.251611-1 1.394555-6 6.438954-1 1.395565-6 5.835364-1 1.396575-6 5.272423-1 1.398012-6 4.540443-1 1.399513-6 3.858950-1 1.400954-6 3.280691-1 1.402399-6 2.770681-1 1.403827-6 2.330490-1 1.404772-6 2.071649-1 1.405709-6 1.838486-1 1.406639-6 1.628933-1 1.407562-6 1.441018-1 1.408477-6 1.272868-1 1.409386-6 1.122717-1 1.410287-6 9.889115-2 1.411181-6 8.699080-2 1.412068-6 7.642751-2 1.412949-6 6.706901-2 1.413822-6 5.879361-2 1.415549-6 4.505560-2 1.417248-6 3.443407-2 1.419335-6 2.457663-2 1.422184-6 1.544448-2 1.422983-6 1.358223-2 1.423776-6 1.198099-2 1.424954-6 1.000299-2 1.425734-6 8.927080-3 1.426508-6 8.020608-3 1.427275-6 7.263442-3 1.428037-6 6.637864-3 1.428792-6 6.128307-3 1.429542-6 5.721111-3 1.431030-6 5.165801-3 1.432494-6 4.896488-3 1.433935-6 4.852060-3 1.435354-6 4.985809-3 1.436751-6 5.261980-3 1.438126-6 5.653088-3 1.439480-6 6.137855-3 1.442144-6 7.335792-3 1.444726-6 8.751825-3 1.447227-6 1.032095-2 1.449649-6 1.199755-2 1.451996-6 1.374787-2 1.456543-6 1.743200-2 1.460806-6 2.116611-2 1.464803-6 2.485589-2 1.468549-6 2.844463-2 1.475575-6 3.542568-2 1.481721-6 4.173087-2 1.487100-6 4.735773-2 1.496513-6 5.738969-2 1.503572-6 6.503639-2 1.514161-6 7.667019-2 1.524750-6 8.848636-2 1.532256-6 9.697605-2 1.540854-6 1.068274-1 1.548439-6 1.156408-1 1.556024-6 1.245777-1 1.567402-6 1.382342-1 1.578780-6 1.522246-1 1.586365-6 1.617588-1 1.601536-6 1.814289-1 1.616706-6 2.021656-1 1.669831-6 2.815758-1 1.709675-6 3.507127-1 1.761970-6 4.604835-1 1.778779-6 5.028681-1 1.803993-6 5.763689-1 1.816600-6 6.201661-1 1.829206-6 6.730024-1 1.833709-6 6.953590-1 1.838211-6 7.202735-1 1.842713-6 7.482395-1 1.847216-6 7.796616-1 1.851718-6 8.147079-1 1.865849-6 9.416376-1 1.870430-6 9.821534-1 1.875011-6 1.017237+0 1.879592-6 1.043042+0 1.881883-6 1.051279+0 1.884174-6 1.055844+0 1.886190-6 1.056555+0 1.889215-6 1.051442+0 1.892239-6 1.038681+0 1.895078-6 1.019827+0 1.897917-6 9.947280-1 1.901353-6 9.570639-1 1.902499-6 9.430201-1 1.905935-6 8.975534-1 1.908225-6 8.653754-1 1.912807-6 8.000290-1 1.919106-6 7.174970-1 1.922168-6 6.840621-1 1.923687-6 6.696201-1 1.925405-6 6.551674-1 1.927696-6 6.391585-1 1.929986-6 6.269884-1 1.933422-6 6.159309-1 1.934568-6 6.141126-1 1.939149-6 6.154742-1 1.943730-6 6.288328-1 1.946021-6 6.391289-1 1.948311-6 6.513371-1 1.952893-6 6.800465-1 1.964042-6 7.608003-1 1.972726-6 8.233381-1 1.981138-6 8.796369-1 1.997437-6 9.793465-1 2.119677-6 1.707774+0 2.153497-6 1.956085+0 2.218998-6 2.544540+0 2.263991-6 3.054480+0 2.308136-6 3.667690+0 2.341246-6 4.221644+0 2.383313-6 5.073749+0 2.420287-6 5.986776+0 2.450000-6 6.874561+0 2.473770-6 7.713487+0 2.497540-6 8.695838+0 2.519223-6 9.755730+0 2.537825-6 1.083602+1 2.554275-6 1.195889+1 2.574788-6 1.355600+1 2.587431-6 1.456905+1 2.594080-6 1.508167+1 2.606033-6 1.594454+1 2.631546-6 1.772607+1 2.637853-6 1.825381+1 2.646655-6 1.912226+1 2.651714-6 1.970547+1 2.656772-6 2.035673+1 2.663079-6 2.126783+1 2.669385-6 2.228999+1 2.675692-6 2.342156+1 2.688305-6 2.600338+1 2.709633-6 3.136430+1 2.718964-6 3.417577+1 2.727712-6 3.714280+1 2.735913-6 4.027940+1 2.743602-6 4.359898+1 2.750810-6 4.711400+1 2.757567-6 5.083663+1 2.763903-6 5.477946+1 2.769842-6 5.895637+1 2.775410-6 6.338329+1 2.780630-6 6.807885+1 2.785524-6 7.306449+1 2.790112-6 7.836405+1 2.798714-6 9.043242+1 2.806241-6 1.041467+2 2.812828-6 1.196071+2 2.818591-6 1.367585+2 2.823633-6 1.553779+2 2.828045-6 1.751081+2 2.831906-6 1.955152+2 2.835284-6 2.161484+2 2.840826-6 2.564741+2 2.847050-6 3.128496+2 2.859371-6 4.654213+2 2.865968-6 5.714516+2 2.869486-6 6.347945+2 2.873005-6 7.024634+2 2.880042-6 8.485333+2 2.880921-6 8.675684+2 2.887079-6 1.003361+3 2.889498-6 1.057046+3 2.894116-6 1.157913+3 2.897689-6 1.232791+3 2.901152-6 1.301095+3 2.904726-6 1.365625+3 2.908189-6 1.420984+3 2.911268-6 1.463197+3 2.914855-6 1.502964+3 2.918965-6 1.534769+3 2.922483-6 1.549483+3 2.923708-6 1.551799+3 2.927203-6 1.550325+3 2.929783-6 1.541562+3 2.936663-6 1.487369+3 2.938858-6 1.461216+3 2.944020-6 1.384782+3 2.946741-6 1.337051+3 2.950411-6 1.265963+3 2.953984-6 1.190785+3 2.957448-6 1.113829+3 2.960526-6 1.043223+3 2.963742-6 9.683617+2 2.968003-6 8.692099+2 2.971521-6 7.887766+2 2.975480-6 7.012769+2 2.978558-6 6.361853+2 2.985595-6 4.996719+2 2.988014-6 4.571823+2 2.990323-6 4.188765+2 2.994391-6 3.568300+2 2.998350-6 3.031130+2 3.002468-6 2.539967+2 3.006597-6 2.113309+2 3.009811-6 1.823811+2 3.013943-6 1.501859+2 3.018712-6 1.193456+2 3.023126-6 9.605603+1 3.030472-6 6.655330+1 3.041491-6 3.835636+1 3.048837-6 2.680032+1 3.054718-6 2.029816+1 3.058762-6 1.685864+1 3.064409-6 1.310454+1 3.066291-6 1.206992+1 3.073820-6 8.743707+0 3.084449-6 5.590186+0 3.092175-6 4.024558+0 3.102097-6 2.622226+0 3.109443-6 1.931680+0 3.110361-6 1.863751+0 3.116789-6 1.494868+0 3.118538-6 1.425660+0 3.119536-6 1.391947+0 3.120409-6 1.365853+0 3.121841-6 1.329859+0 3.123162-6 1.304098+0 3.124002-6 1.291385+0 3.126521-6 1.270130+0 3.129017-6 1.273674+0 3.130264-6 1.284487+0 3.131512-6 1.301261+0 3.133321-6 1.336069+0 3.135385-6 1.390811+0 3.138482-6 1.502550+0 3.141579-6 1.649364+0 3.144518-6 1.820760+0 3.148927-6 2.135710+0 3.153337-6 2.519522+0 3.162343-6 3.517068+0 3.170051-6 4.601744+0 3.179223-6 6.182268+0 3.193174-6 9.250118+0 3.201809-6 1.160806+1 3.209338-6 1.399943+1 3.216393-6 1.656582+1 3.224006-6 1.974098+1 3.231326-6 2.325379+1 3.238647-6 2.729007+1 3.247129-6 3.273528+1 3.285668-6 7.341886+1 3.292622-6 8.508863+1 3.299576-6 9.888200+1 3.307658-6 1.183779+2 3.311940-6 1.306459+2 3.316223-6 1.446009+2 3.324306-6 1.768252+2 3.330246-6 2.069630+2 3.334701-6 2.342791+2 3.341384-6 2.849795+2 3.348067-6 3.506824+2 3.352560-6 4.055236+2 3.357054-6 4.707397+2 3.364948-6 6.156548+2 3.379370-6 1.009431+3 3.386468-6 1.278717+3 3.388974-6 1.387185+3 3.400418-6 1.974171+3 3.402686-6 2.108078+3 3.411020-6 2.645308+3 3.412062-6 2.716913+3 3.419950-6 3.283150+3 3.423021-6 3.511625+3 3.425952-6 3.731479+3 3.429628-6 4.006889+3 3.433687-6 4.306670+3 3.436063-6 4.477914+3 3.439960-6 4.748811+3 3.444163-6 5.022101+3 3.447894-6 5.243764+3 3.452017-6 5.460802+3 3.453212-6 5.517593+3 3.458096-6 5.717736+3 3.461909-6 5.835593+3 3.466352-6 5.927093+3 3.469914-6 5.963374+3 3.477955-6 5.922096+3 3.480596-6 5.872018+3 3.486374-6 5.703358+3 3.489396-6 5.585165+3 3.492758-6 5.431872+3 3.497081-6 5.204933+3 3.500350-6 5.014194+3 3.504022-6 4.784006+3 3.507088-6 4.581420+3 3.511031-6 4.310915+3 3.515198-6 4.017443+3 3.519366-6 3.721205+3 3.524054-6 3.390436+3 3.527700-6 3.138611+3 3.536780-6 2.547589+3 3.541600-6 2.261526+3 3.547975-6 1.917861+3 3.554310-6 1.617651+3 3.563367-6 1.259741+3 3.573422-6 9.529195+2 3.581581-6 7.639829+2 3.585806-6 6.839456+2 3.590031-6 6.143601+2 3.594578-6 5.497294+2 3.599125-6 4.943389+2 3.603512-6 4.484343+2 3.610091-6 3.911136+2 3.616798-6 3.441447+2 3.622975-6 3.088732+2 3.631535-6 2.695795+2 3.640094-6 2.385252+2 3.648795-6 2.130447+2 3.655320-6 1.969492+2 3.665108-6 1.764642+2 3.674896-6 1.593429+2 3.683619-6 1.462631+2 3.692673-6 1.344195+2 3.701727-6 1.240300+2 3.716525-6 1.096098+2 3.723759-6 1.035436+2 3.732769-6 9.677355+1 3.741105-6 9.121603+1 3.752848-6 8.441872+1 3.764822-6 7.858169+1 3.776796-6 7.367332+1 3.787853-6 6.979965+1 3.806322-6 6.431040+1 3.845010-6 5.456069+1 3.869211-6 4.886901+1 3.925962-6 3.734500+1 3.955736-6 3.268767+1 3.985757-6 2.883671+1 4.010907-6 2.612022+1 4.030131-6 2.433927+1 4.040451-6 2.350014+1 4.050985-6 2.273475+1 4.063945-6 2.192043+1 4.079844-6 2.109491+1 4.121227-6 1.937982+1 4.133793-6 1.882938+1 4.148780-6 1.810011+1 4.163728-6 1.730091+1 4.183859-6 1.617205+1 4.215284-6 1.452939+1 4.226883-6 1.401099+1 4.245345-6 1.329454+1 4.288547-6 1.192823+1 4.317078-6 1.105493+1 4.340709-6 1.032195+1 4.384618-6 9.043040+0 4.429031-6 7.870505+0 4.484259-6 6.480710+0 4.531597-6 5.309830+0 4.563092-6 4.514572+0 4.570898-6 4.312727+0 4.586991-6 3.889621+0 4.601022-6 3.514246+0 4.612564-6 3.204175+0 4.624477-6 2.888654+0 4.637074-6 2.570060+0 4.653864-6 2.195454+0 4.659796-6 2.084061+0 4.674171-6 1.876775+0 4.679186-6 1.828755+0 4.690945-6 1.771424+0 4.702885-6 1.794727+0 4.707061-6 1.821615+0 4.715035-6 1.897628+0 4.720807-6 1.970956+0 4.727229-6 2.068422+0 4.735485-6 2.215569+0 4.744090-6 2.394109+0 4.751715-6 2.577682+0 4.758784-6 2.777920+0 4.761141-6 2.853407+0 4.770870-6 3.232278+0 4.775280-6 3.452412+0 4.782331-6 3.894236+0 4.786273-6 4.202397+0 4.788779-6 4.425947+0 4.792068-6 4.756440+0 4.796297-6 5.251470+0 4.800736-6 5.868409+0 4.805390-6 6.638564+0 4.811200-6 7.803787+0 4.818427-6 9.618010+0 4.831588-6 1.414692+1 4.839423-6 1.768834+1 4.844925-6 2.057287+1 4.850988-6 2.412743+1 4.854994-6 2.668487+1 4.863565-6 3.266059+1 4.869079-6 3.681687+1 4.873707-6 4.044935+1 4.877593-6 4.357265+1 4.882151-6 4.728941+1 4.887130-6 5.136545+1 4.891914-6 5.524730+1 4.897224-6 5.945008+1 4.902325-6 6.331592+1 4.907562-6 6.704179+1 4.911769-6 6.981315+1 4.917715-6 7.332821+1 4.922710-6 7.586582+1 4.934617-6 8.017175+1 4.940014-6 8.125133+1 4.948644-6 8.181505+1 4.953519-6 8.151276+1 4.957154-6 8.100794+1 4.962743-6 7.979090+1 4.969178-6 7.778197+1 4.974553-6 7.566272+1 4.979736-6 7.329262+1 4.987376-6 6.932479+1 4.993288-6 6.596153+1 4.996244-6 6.421125+1 5.002896-6 6.016532+1 5.005113-6 5.879672+1 5.016937-6 5.150572+1 5.019893-6 4.971857+1 5.028762-6 4.453535+1 5.042038-6 3.746907+1 5.063987-6 2.806158+1 5.069063-6 2.630070+1 5.078898-6 2.329932+1 5.088118-6 2.093252+1 5.100000-6 1.842765+1 5.104865-6 1.755332+1 5.120059-6 1.527634+1 5.133354-6 1.372179+1 5.144987-6 1.260195+1 5.165345-6 1.101038+1 5.195882-6 9.147612+0 5.239341-6 7.009699+0 5.252206-6 6.437851+0 5.263964-6 5.936987+0 5.289877-6 4.946325+0 5.302834-6 4.551948+0 5.309681-6 4.386585+0 5.316527-6 4.259360+0 5.321721-6 4.192717+0 5.326915-6 4.155532+0 5.331627-6 4.150156+0 5.353138-6 4.539029+0 5.366249-6 5.169373+0 5.371247-6 5.496191+0 5.382404-6 6.399538+0 5.405303-6 8.927718+0 5.413478-6 9.992162+0 5.419443-6 1.079730+1 5.426934-6 1.181995+1 5.434019-6 1.277580+1 5.439688-6 1.351565+1 5.445356-6 1.421990+1 5.446976-6 1.441287+1 5.455479-6 1.535150+1 5.459932-6 1.578508+1 5.471269-6 1.667243+1 5.475733-6 1.692733+1 5.484253-6 1.725425+1 5.491321-6 1.736235+1 5.495354-6 1.735786+1 5.498883-6 1.731522+1 5.505060-6 1.715652+1 5.509692-6 1.697059+1 5.513166-6 1.679582+1 5.520982-6 1.630152+1 5.523588-6 1.610854+1 5.533421-6 1.527400+1 5.536699-6 1.496454+1 5.546533-6 1.396943+1 5.549811-6 1.362195+1 5.562922-6 1.220305+1 5.578717-6 1.054925+1 5.595001-6 9.062483+0 5.606180-6 8.232367+0 5.609757-6 8.004511+0 5.620491-6 7.437572+0 5.623903-6 7.294617+0 5.634140-6 6.973279+0 5.637540-6 6.901479+0 5.642640-6 6.825137+0 5.647740-6 6.784839+0 5.652091-6 6.777334+0 5.655899-6 6.789775+0 5.662561-6 6.850530+0 5.667559-6 6.925084+0 5.671306-6 6.995140+0 5.679739-6 7.188969+0 5.702299-6 7.836580+0 5.716030-6 8.218572+0 5.729762-6 8.518364+0 5.733262-6 8.576673+0 5.743762-6 8.701548+0 5.753387-6 8.748515+0 5.757980-6 8.748917+0 5.768316-6 8.702879+0 5.782261-6 8.557826+0 5.799761-6 8.298526+0 5.822033-6 7.959949+0 5.836921-6 7.780368+0 5.846082-6 7.696404+0 5.855759-6 7.629545+0 5.874238-6 7.553624+0 5.934485-6 7.460367+0 5.975696-6 7.335279+0 6.086448-6 6.886467+0 6.112758-6 6.807830+0 6.134003-6 6.771671+0 6.159600-6 6.763369+0 6.211508-6 6.797943+0 6.231815-6 6.791653+0 6.247994-6 6.767929+0 6.274621-6 6.691107+0 6.296021-6 6.602121+0 6.373787-6 6.227562+0 6.637912-6 5.272990+0 6.710482-6 5.013021+0 6.792003-6 4.711413+0 6.863270-6 4.439002+0 6.918310-6 4.222818+0 6.951049-6 4.091517+0 7.004064-6 3.873746+0 7.073022-6 3.580324+0 7.124741-6 3.353197+0 7.159220-6 3.198680+0 7.193700-6 3.042067+0 7.228179-6 2.884080+0 7.279898-6 2.647227+0 7.393948-6 2.166659+0 7.423682-6 2.068380+0 7.441989-6 2.018463+0 7.459169-6 1.981292+0 7.476000-6 1.956590+0 7.490423-6 1.947537+0 7.497636-6 1.948354+0 7.508007-6 1.957341+0 7.517847-6 1.976349+0 7.524153-6 1.995129+0 7.532668-6 2.030474+0 7.540639-6 2.076134+0 7.548973-6 2.139889+0 7.556964-6 2.219915+0 7.562097-6 2.283022+0 7.567070-6 2.354317+0 7.571887-6 2.434198+0 7.576554-6 2.523035+0 7.581076-6 2.621170+0 7.585456-6 2.728909+0 7.589699-6 2.846515+0 7.593809-6 2.974209+0 7.597791-6 3.112161+0 7.605506-6 3.424652+0 7.612739-6 3.780312+0 7.619520-6 4.178575+0 7.625877-6 4.618010+0 7.631836-6 5.096399+0 7.637424-6 5.610849+0 7.642662-6 6.157919+0 7.652176-6 7.334245+0 7.660538-6 8.592051+0 7.680572-6 1.266217+1 7.700377-6 1.854978+1 7.712434-6 2.325860+1 7.722976-6 2.817878+1 7.728909-6 3.130254+1 7.734573-6 3.453379+1 7.740237-6 3.801538+1 7.749739-6 4.443159+1 7.759241-6 5.157477+1 7.779434-6 6.909557+1 7.781661-6 7.121041+1 7.798439-6 8.812959+1 7.804563-6 9.466865+1 7.816256-6 1.075097+2 7.825907-6 1.182890+2 7.830584-6 1.235122+2 7.837636-6 1.313224+2 7.844912-6 1.392197+2 7.854266-6 1.489889+2 7.862580-6 1.571634+2 7.871015-6 1.648227+2 7.873864-6 1.672417+2 7.885371-6 1.760193+2 7.893860-6 1.813544+2 7.902449-6 1.856562+2 7.911723-6 1.889764+2 7.918185-6 1.904429+2 7.927260-6 1.913045+2 7.936075-6 1.908017+2 7.950477-6 1.872257+2 7.959525-6 1.833401+2 7.968294-6 1.784815+2 7.977945-6 1.720306+2 7.987299-6 1.648337+2 7.995614-6 1.577958+2 8.003632-6 1.505592+2 8.015807-6 1.389783+2 8.025309-6 1.296571+2 8.040157-6 1.150223+2 8.044314-6 1.109741+2 8.063319-6 9.314747+1 8.069852-6 8.737205+1 8.082323-6 7.697773+1 8.100141-6 6.373710+1 8.143902-6 3.957965+1 8.156048-6 3.479777+1 8.167436-6 3.095110+1 8.178111-6 2.784004+1 8.192000-6 2.441300+1 8.206885-6 2.139289+1 8.223305-6 1.868877+1 8.237673-6 1.674629+1 8.262816-6 1.404424+1 8.288881-6 1.188752+1 8.379292-6 6.914042+0 8.399815-6 6.122903+0 8.420339-6 5.475801+0 8.430601-6 5.223796+0 8.440862-6 5.033783+0 8.451124-6 4.920187+0 8.461386-6 4.900797+0 8.471648-6 4.997057+0 8.476779-6 5.096306+0 8.481909-6 5.234257+0 8.487040-6 5.414686+0 8.490888-6 5.580288+0 8.496661-6 5.881627+0 8.502433-6 6.252113+0 8.507564-6 6.644838+0 8.511412-6 6.981584+0 8.516463-6 7.482345+0 8.522956-6 8.231525+0 8.530939-6 9.329471+0 8.540564-6 1.093934+1 8.556561-6 1.439612+1 8.575152-6 1.980495+1 8.587639-6 2.436458+1 8.591301-6 2.584893+1 8.605925-6 3.245467+1 8.616511-6 3.790323+1 8.627480-6 4.411049+1 8.637139-6 5.001130+1 8.651237-6 5.924532+1 8.659530-6 6.494936+1 8.668645-6 7.137741+1 8.676739-6 7.716416+1 8.685194-6 8.322190+1 8.693246-6 8.893827+1 8.701493-6 9.467121+1 8.710403-6 1.006452+2 8.714151-6 1.030691+2 8.726496-6 1.105789+2 8.736037-6 1.157823+2 8.748911-6 1.217966+2 8.757171-6 1.249678+2 8.763737-6 1.270731+2 8.773138-6 1.294148+2 8.780051-6 1.306160+2 8.784365-6 1.311386+2 8.798619-6 1.316262+2 8.805397-6 1.312016+2 8.811867-6 1.304153+2 8.820966-6 1.287086+2 8.829017-6 1.266489+2 8.839369-6 1.233124+2 8.844627-6 1.213503+2 8.856458-6 1.163676+2 8.860401-6 1.145545+2 8.870917-6 1.094174+2 8.881433-6 1.039383+2 8.886691-6 1.011081+2 8.902466-6 9.242608+1 8.923498-6 8.087730+1 8.933507-6 7.557226+1 8.959088-6 6.303433+1 8.996256-6 4.822134+1 9.007167-6 4.469138+1 9.018077-6 4.151631+1 9.028988-6 3.867602+1 9.039898-6 3.614630+1 9.061719-6 3.191053+1 9.083540-6 2.858813+1 9.105361-6 2.597050+1 9.127182-6 2.387937+1 9.149003-6 2.217340+1 9.170824-6 2.074724+1 9.218051-6 1.830133+1 9.262086-6 1.657015+1 9.284883-6 1.585608+1 9.307680-6 1.527475+1 9.330478-6 1.483864+1 9.353275-6 1.455883+1 9.364674-6 1.447928+1 9.376073-6 1.443960+1 9.387471-6 1.443847+1 9.398870-6 1.447366+1 9.421668-6 1.463928+1 9.444465-6 1.490018+1 9.490060-6 1.551171+1 9.512857-6 1.575836+1 9.535655-6 1.590729+1 9.558452-6 1.593221+1 9.569851-6 1.589478+1 9.581250-6 1.582445+1 9.604047-6 1.559200+1 9.626845-6 1.525595+1 9.649642-6 1.484518+1 9.672440-6 1.439081+1 9.738172-6 1.307380+1 9.773414-6 1.246119+1 9.826276-6 1.170627+1 9.903454-6 1.087242+1 1.003586-5 9.777100+0 1.022580-5 8.389084+0 1.024044-5 8.301637+0 1.029086-5 8.086460+0 1.031683-5 8.049560+0 1.034127-5 8.073346+0 1.036647-5 8.161441+0 1.037791-5 8.222251+0 1.039507-5 8.335628+0 1.042716-5 8.603853+0 1.046729-5 8.983017+0 1.049250-5 9.201829+0 1.051771-5 9.374805+0 1.054291-5 9.482034+0 1.055396-5 9.505020+0 1.057054-5 9.510625+0 1.058712-5 9.481823+0 1.060283-5 9.424388+0 1.061853-5 9.340270+0 1.064373-5 9.158372+0 1.066894-5 8.933693+0 1.069414-5 8.683959+0 1.076708-5 7.957726+0 1.079265-5 7.735961+0 1.084578-5 7.366582+0 1.087235-5 7.233164+0 1.089891-5 7.134487+0 1.092548-5 7.068820+0 1.094739-5 7.036906+0 1.098724-5 7.018845+0 1.105930-5 7.037117+0 1.108639-5 7.032495+0 1.111347-5 7.011542+0 1.114056-5 6.972227+0 1.116765-5 6.915857+0 1.122133-5 6.770350+0 1.128410-5 6.588026+0 1.134850-5 6.425557+0 1.156108-5 5.969213+0 1.166945-5 5.676037+0 1.175739-5 5.407620+0 1.181582-5 5.268956+0 1.184128-5 5.234590+0 1.187086-5 5.221815+0 1.190105-5 5.241771+0 1.192452-5 5.279738+0 1.194123-5 5.317309+0 1.198693-5 5.450464+0 1.201727-5 5.546545+0 1.204632-5 5.628346+0 1.207261-5 5.683618+0 1.210030-5 5.714925+0 1.211132-5 5.718615+0 1.213761-5 5.706302+0 1.216585-5 5.660924+0 1.218845-5 5.603240+0 1.221629-5 5.511294+0 1.224368-5 5.405146+0 1.233046-5 5.046890+0 1.237932-5 4.878220+0 1.241182-5 4.790368+0 1.245419-5 4.706851+0 1.249038-5 4.660798+0 1.254070-5 4.625282+0 1.265474-5 4.573718+0 1.269555-5 4.538561+0 1.274772-5 4.474855+0 1.290938-5 4.228532+0 1.302200-5 4.075486+0 1.319415-5 3.839159+0 1.330282-5 3.670101+0 1.345524-5 3.434570+0 1.353324-5 3.332907+0 1.373968-5 3.114940+0 1.389281-5 2.956645+0 1.407752-5 2.763839+0 1.456338-5 2.315192+0 1.469246-5 2.217781+0 1.481300-5 2.137870+0 1.492238-5 2.075126+0 1.504311-5 2.017244+0 1.514114-5 1.979637+0 1.521406-5 1.957689+0 1.531087-5 1.937382+0 1.539636-5 1.928360+0 1.546928-5 1.927225+0 1.559122-5 1.937983+0 1.570056-5 1.960469+0 1.579308-5 1.988941+0 1.597131-5 2.068602+0 1.609503-5 2.145026+0 1.615256-5 2.187272+0 1.630000-5 2.316635+0 1.642048-5 2.446392+0 1.658280-5 2.658431+0 1.674637-5 2.919907+0 1.690483-5 3.225509+0 1.708206-5 3.636248+0 1.720704-5 3.975837+0 1.735958-5 4.455175+0 1.749066-5 4.931146+0 1.764947-5 5.596063+0 1.778279-5 6.237626+0 1.789709-5 6.857379+0 1.800663-5 7.520211+0 1.815228-5 8.518498+0 1.830000-5 9.684075+0 1.846106-5 1.115876+1 1.862087-5 1.286946+1 1.876595-5 1.467519+1 1.895366-5 1.744387+1 1.913262-5 2.063062+1 1.930039-5 2.421020+1 1.945768-5 2.820761+1 1.960514-5 3.264712+1 1.974338-5 3.755319+1 1.987298-5 4.294360+1 2.001820-5 5.008190+1 2.012560-5 5.626453+1 2.021518-5 6.212859+1 2.031529-5 6.958389+1 2.040915-5 7.759122+1 2.049714-5 8.615569+1 2.058510-5 9.592480+1 2.065697-5 1.049585+2 2.075090-5 1.184550+2 2.079744-5 1.259629+2 2.089296-5 1.433994+2 2.097691-5 1.614045+2 2.104882-5 1.792745+2 2.113489-5 2.043435+2 2.121401-5 2.318523+2 2.128938-5 2.632326+2 2.135533-5 2.961088+2 2.141304-5 3.302876+2 2.146354-5 3.654936+2 2.150772-5 4.013456+2 2.154638-5 4.373715+2 2.158021-5 4.730530+2 2.163941-5 5.464354+2 2.168381-5 6.119717+2 2.174208-5 7.133819+2 2.183237-5 9.069081+2 2.187762-5 1.019495+3 2.192440-5 1.144647+3 2.197810-5 1.295708+3 2.203180-5 1.450198+3 2.204523-5 1.488882+3 2.208550-5 1.604577+3 2.213920-5 1.759065+3 2.221975-5 2.009655+3 2.224660-5 2.107841+3 2.229359-5 2.315815+3 2.230030-5 2.350620+3 2.235400-5 2.694239+3 2.237246-5 2.845760+3 2.240770-5 3.196448+3 2.242616-5 3.417521+3 2.244378-5 3.655864+3 2.247051-5 4.073739+3 2.250287-5 4.680994+3 2.254235-5 5.588787+3 2.262250-5 8.058066+3 2.265211-5 9.188462+3 2.268851-5 1.072962+4 2.270411-5 1.143692+4 2.275958-5 1.413570+4 2.277745-5 1.505081+4 2.281654-5 1.708747+4 2.283399-5 1.799831+4 2.285893-5 1.928370+4 2.287496-5 2.009140+4 2.290187-5 2.139640+4 2.292699-5 2.253780+4 2.294929-5 2.347175+4 2.297595-5 2.446995+4 2.300744-5 2.545558+4 2.303430-5 2.611018+4 2.305839-5 2.653854+4 2.308518-5 2.682966+4 2.309576-5 2.688963+4 2.315304-5 2.667208+4 2.317853-5 2.628928+4 2.321181-5 2.554426+4 2.323894-5 2.475037+4 2.326523-5 2.384077+4 2.328890-5 2.292068+4 2.331548-5 2.179333+4 2.333768-5 2.079133+4 2.336623-5 1.944510+4 2.339396-5 1.809900+4 2.342169-5 1.673954+4 2.345289-5 1.522136+4 2.347716-5 1.406567+4 2.353728-5 1.136831+4 2.355474-5 1.064201+4 2.360713-5 8.646716+3 2.365062-5 7.212942+3 2.370507-5 5.703910+3 2.380658-5 3.659832+3 2.383507-5 3.238741+3 2.386872-5 2.812022+3 2.389397-5 2.536378+3 2.393183-5 2.184383+3 2.397145-5 1.882666+3 2.400602-5 1.665075+3 2.403451-5 1.512087+3 2.406300-5 1.379055+3 2.411999-5 1.160908+3 2.417895-5 9.857693+2 2.423023-5 8.634914+2 2.429094-5 7.448835+2 2.436343-5 6.304610+2 2.440926-5 5.698116+2 2.448336-5 4.869685+2 2.454333-5 4.315377+2 2.460330-5 3.850362+2 2.463618-5 3.629366+2 2.466907-5 3.430343+2 2.469821-5 3.270988+2 2.474782-5 3.032785+2 2.478563-5 2.875880+2 2.484391-5 2.668125+2 2.490313-5 2.489325+2 2.505344-5 2.116129+2 2.517677-5 1.857445+2 2.523844-5 1.750735+2 2.528170-5 1.690277+2 2.532179-5 1.647473+2 2.534347-5 1.630228+2 2.538287-5 1.610172+2 2.540096-5 1.605927+2 2.542809-5 1.605355+2 2.545522-5 1.611486+2 2.549527-5 1.631734+2 2.553688-5 1.664645+2 2.561435-5 1.746088+2 2.567969-5 1.818885+2 2.575657-5 1.887782+2 2.577362-5 1.898814+2 2.582478-5 1.920452+2 2.586824-5 1.924592+2 2.590972-5 1.916590+2 2.595529-5 1.895735+2 2.599245-5 1.870971+2 2.605719-5 1.816162+2 2.626592-5 1.622211+2 2.635106-5 1.560600+2 2.647879-5 1.490157+2 2.709857-5 1.239459+2 2.736000-5 1.157125+2 2.764512-5 1.080488+2 2.872882-5 8.329598+1 2.948436-5 6.883449+1 2.983293-5 6.286695+1 3.028657-5 5.561860+1 3.118483-5 4.328959+1 3.137533-5 4.120283+1 3.157890-5 3.929754+1 3.171697-5 3.824220+1 3.179581-5 3.774170+1 3.187640-5 3.731557+1 3.201786-5 3.679000+1 3.215457-5 3.654257+1 3.234355-5 3.651246+1 3.252606-5 3.668893+1 3.263678-5 3.695394+1 3.271076-5 3.728480+1 3.275818-5 3.760108+1 3.280448-5 3.801594+1 3.284934-5 3.854248+1 3.289279-5 3.919494+1 3.293489-5 3.998641+1 3.297567-5 4.092892+1 3.301518-5 4.203357+1 3.305346-5 4.331082+1 3.309053-5 4.477069+1 3.312645-5 4.642306+1 3.316125-5 4.827788+1 3.319496-5 5.034542+1 3.322761-5 5.263645+1 3.326092-5 5.530527+1 3.332054-5 6.107256+1 3.337800-5 6.811780+1 3.343187-5 7.642501+1 3.348238-5 8.613133+1 3.352972-5 9.737748+1 3.357411-5 1.102990+2 3.361572-5 1.250163+2 3.365474-5 1.416255+2 3.370043-5 1.653360+2 3.372560-5 1.807365+2 3.375774-5 2.032493+2 3.378788-5 2.276732+2 3.381613-5 2.539141+2 3.386745-5 3.113058+2 3.391401-5 3.763374+2 3.402159-5 5.883570+2 3.409646-5 8.021747+2 3.415594-5 1.021022+3 3.421335-5 1.280221+3 3.425277-5 1.488243+3 3.429742-5 1.755543+3 3.432420-5 1.932658+3 3.436634-5 2.237165+3 3.440848-5 2.573346+3 3.449803-5 3.387865+3 3.450790-5 3.485350+3 3.458230-5 4.259640+3 3.460946-5 4.556377+3 3.466131-5 5.135181+3 3.470411-5 5.617023+3 3.474559-5 6.078934+3 3.478839-5 6.541259+3 3.482987-5 6.966617+3 3.486674-5 7.318806+3 3.490748-5 7.672197+3 3.491941-5 7.767563+3 3.496879-5 8.117681+3 3.500736-5 8.336238+3 3.505151-5 8.521580+3 3.508973-5 8.622823+3 3.511500-5 8.658691+3 3.515398-5 8.665109+3 3.519265-5 8.613358+3 3.525551-5 8.410771+3 3.529270-5 8.226656+3 3.532521-5 8.030351+3 3.536401-5 7.757549+3 3.540189-5 7.456073+3 3.544660-5 7.063628+3 3.549331-5 6.621687+3 3.554622-5 6.095662+3 3.558836-5 5.667639+3 3.563577-5 5.186307+3 3.567264-5 4.817787+3 3.575692-5 4.015323+3 3.578589-5 3.756948+3 3.584120-5 3.293871+3 3.590440-5 2.817576+3 3.601749-5 2.112355+3 3.610835-5 1.676053+3 3.614564-5 1.527215+3 3.619007-5 1.370420+3 3.623450-5 1.233898+3 3.627893-5 1.115452+3 3.632336-5 1.012939+3 3.636779-5 9.243257+2 3.641222-5 8.477250+2 3.645665-5 7.814237+2 3.654551-5 6.737895+2 3.662895-5 5.958424+2 3.671238-5 5.339831+2 3.678625-5 4.890766+2 3.691366-5 4.271090+2 3.696734-5 4.054282+2 3.705789-5 3.734225+2 3.715352-5 3.447558+2 3.724978-5 3.203055+2 3.737145-5 2.947440+2 3.744699-5 2.815165+2 3.752295-5 2.700731+2 3.775062-5 2.459252+2 3.784353-5 2.400965+2 3.794162-5 2.362262+2 3.801226-5 2.347424+2 3.807441-5 2.342173+2 3.820062-5 2.348857+2 3.849043-5 2.396138+2 3.864145-5 2.407433+2 3.877945-5 2.401852+2 3.892692-5 2.382754+2 3.929961-5 2.324493+2 3.959600-5 2.299511+2 3.989858-5 2.277810+2 4.022454-5 2.238933+2 4.068721-5 2.174737+2 4.109634-5 2.132451+2 4.169444-5 2.090552+2 4.273171-5 2.042799+2 4.349575-5 2.021255+2 4.475008-5 2.005688+2 4.645907-5 2.014341+2 4.800000-5 2.042429+2 4.985396-5 2.097372+2 5.275000-5 2.217731+2 5.599187-5 2.382587+2 5.671902-5 2.425960+2 5.699860-5 2.453272+2 5.731029-5 2.497062+2 5.810485-5 2.647768+2 5.832098-5 2.679798+2 5.854576-5 2.702691+2 5.892998-5 2.721853+2 5.947643-5 2.740877+2 5.983390-5 2.764483+2 6.070000-5 2.844401+2 6.147522-5 2.910850+2 6.569011-5 3.238165+2 6.839116-5 3.439198+2 7.100128-5 3.613369+2 7.349725-5 3.755846+2 7.606037-5 3.869746+2 7.881603-5 3.949794+2 8.128505-5 3.977979+2 8.380582-5 3.957003+2 8.568199-5 3.907707+2 8.750855-5 3.825812+2 8.929128-5 3.714890+2 9.067760-5 3.608038+2 9.205855-5 3.557661+2 9.349455-5 3.715106+2 9.497673-5 3.993112+2 9.623195-5 4.279801+2 9.734724-5 4.584462+2 9.840875-5 4.931198+2 9.952858-5 5.373758+2 1.005256-4 5.855345+2 1.012008-4 6.243111+2 1.020352-4 6.810810+2 1.024609-4 7.147123+2 1.030487-4 7.675765+2 1.036971-4 8.364521+2 1.042730-4 9.094544+2 1.048492-4 9.970038+2 1.053738-4 1.093215+3 1.058540-4 1.199515+3 1.063071-4 1.321048+3 1.065469-4 1.396099+3 1.068574-4 1.507410+3 1.071292-4 1.621032+3 1.073669-4 1.736144+3 1.076499-4 1.897513+3 1.079163-4 2.080942+3 1.080557-4 2.192312+3 1.082996-4 2.419474+3 1.084825-4 2.623155+3 1.086537-4 2.846080+3 1.088255-4 3.108131+3 1.089284-4 3.286685+3 1.090313-4 3.483782+3 1.092997-4 4.100858+3 1.094339-4 4.475363+3 1.095681-4 4.901622+3 1.097022-4 5.385813+3 1.098364-4 5.934222+3 1.101048-4 7.248195+3 1.106330-4 1.081420+4 1.108061-4 1.228551+4 1.110133-4 1.423744+4 1.111167-4 1.528245+4 1.113889-4 1.821772+4 1.114229-4 1.859956+4 1.116610-4 2.132464+4 1.117546-4 2.240470+4 1.119699-4 2.485501+4 1.120988-4 2.626706+4 1.121976-4 2.730282+4 1.123387-4 2.869323+4 1.124861-4 3.000496+4 1.126375-4 3.117103+4 1.127885-4 3.212109+4 1.129625-4 3.292092+4 1.131003-4 3.331161+4 1.132593-4 3.348282+4 1.133524-4 3.344150+4 1.136020-4 3.281924+4 1.137220-4 3.226424+4 1.138619-4 3.142211+4 1.140065-4 3.035077+4 1.141303-4 2.928820+4 1.142666-4 2.798644+4 1.143987-4 2.661547+4 1.145107-4 2.538616+4 1.146548-4 2.374153+4 1.147909-4 2.214795+4 1.149270-4 2.054099+4 1.150800-4 1.874615+4 1.151991-4 1.737800+4 1.154713-4 1.440886+4 1.156541-4 1.257940+4 1.157434-4 1.174254+4 1.159476-4 9.979204+3 1.161904-4 8.159093+3 1.165057-4 6.234067+3 1.169486-4 4.260859+3 1.172231-4 3.383164+3 1.174247-4 2.869734+3 1.176271-4 2.445186+3 1.178654-4 2.042093+3 1.182934-4 1.528293+3 1.187336-4 1.241650+3 1.188757-4 1.202308+3 1.190949-4 1.198680+3 1.192344-4 1.236215+3 1.193802-4 1.312263+3 1.194922-4 1.398556+3 1.195642-4 1.467760+3 1.196734-4 1.594324+3 1.197630-4 1.718684+3 1.198502-4 1.858363+3 1.199247-4 1.993009+3 1.200826-4 2.326973+3 1.203560-4 3.071036+3 1.206065-4 3.948408+3 1.207489-4 4.532111+3 1.210698-4 6.067142+3 1.211033-4 6.244242+3 1.213724-4 7.765905+3 1.215272-4 8.710537+3 1.217028-4 9.826834+3 1.218424-4 1.073585+4 1.219933-4 1.172634+4 1.221110-4 1.249538+4 1.222380-4 1.331102+4 1.223689-4 1.412654+4 1.225193-4 1.501770+4 1.226739-4 1.586558+4 1.228094-4 1.653862+4 1.229322-4 1.708181+4 1.230939-4 1.768762+4 1.231891-4 1.798114+4 1.234687-4 1.854798+4 1.235873-4 1.864956+4 1.238036-4 1.861887+4 1.239480-4 1.844686+4 1.241064-4 1.812645+4 1.242316-4 1.778295+4 1.243268-4 1.747316+4 1.244626-4 1.696579+4 1.246240-4 1.627647+4 1.247630-4 1.562207+4 1.249020-4 1.492499+4 1.250784-4 1.399893+4 1.251842-4 1.343070+4 1.255129-4 1.166641+4 1.260390-4 9.075014+3 1.264903-4 7.266810+3 1.268088-4 6.251248+3 1.270272-4 5.672636+3 1.272097-4 5.255747+3 1.273574-4 4.958493+3 1.275360-4 4.641703+3 1.276178-4 4.510808+3 1.277987-4 4.249336+3 1.280100-4 3.986813+3 1.281563-4 3.828118+3 1.284083-4 3.591223+3 1.287022-4 3.361820+3 1.290189-4 3.157190+3 1.294185-4 2.945039+3 1.298651-4 2.751325+3 1.301492-4 2.645969+3 1.306765-4 2.479080+3 1.311020-4 2.366887+3 1.314219-4 2.293958+3 1.317643-4 2.225666+3 1.321849-4 2.154124+3 1.326803-4 2.084659+3 1.333521-4 2.009399+3 1.340375-4 1.945897+3 1.355245-4 1.825109+3 1.365670-4 1.750412+3 1.380151-4 1.665292+3 1.397862-4 1.586707+3 1.414958-4 1.531136+3 1.435731-4 1.482788+3 1.453964-4 1.452998+3 1.490500-4 1.411541+3 1.533012-4 1.370422+3 1.609266-4 1.294070+3 1.728000-4 1.181660+3 1.920495-4 1.022273+3 2.150000-4 8.685399+2 2.242090-4 8.131066+2 2.291941-4 7.819247+2 2.343859-4 7.429461+2 2.358474-4 7.351884+2 2.373871-4 7.315523+2 2.390051-4 7.321921+2 2.416631-4 7.360576+2 2.433952-4 7.366902+2 2.490332-4 7.302233+2 2.560000-4 7.172740+2 2.713413-4 6.856318+2 2.770268-4 6.732532+2 2.864719-4 6.518783+2 2.953063-4 6.312209+2 2.994173-4 6.200864+2 3.054540-4 5.999230+2 3.069932-4 5.967255+2 3.093974-4 5.968078+2 3.123034-4 6.020920+2 3.152672-4 6.047762+2 3.180561-4 6.026784+2 3.243645-4 5.935336+2 3.459261-4 5.615068+2 3.701809-4 5.191877+2 3.845918-4 4.936065+2 3.914418-4 4.848962+2 4.050420-4 4.651925+2 4.216965-4 4.360541+2 4.398211-4 3.987976+2 4.518559-4 3.707049+2 4.626931-4 3.429934+2 4.716049-4 3.181042+2 4.776073-4 3.011842+2 4.822384-4 2.874823+2 4.963433-4 2.452834+2 5.001205-4 2.333789+2 5.049834-4 2.167321+2 5.094096-4 2.015652+2 5.134614-4 1.876295+2 5.173750-4 1.738492+2 5.203750-4 1.631738+2 5.259741-4 1.438980+2 5.286255-4 1.355626+2 5.310000-4 1.288130+2 5.336385-4 1.223402+2 5.353750-4 1.187880+2 5.377734-4 1.149574+2 5.400000-4 1.126596+2 5.419736-4 1.117480+2 5.435541-4 1.118420+2 5.457984-4 1.133197+2 5.484849-4 1.172906+2 5.509991-4 1.232955+2 5.542485-4 1.344506+2 5.587485-4 1.563263+2 5.614983-4 1.733937+2 5.633983-4 1.868253+2 5.728500-4 2.725459+2 5.762485-4 3.101844+2 5.792489-4 3.458609+2 5.822674-4 3.837378+2 5.837494-4 4.029619+2 5.870000-4 4.463228+2 5.882500-4 4.633630+2 5.910000-4 5.014025+2 5.930000-4 5.294349+2 5.965000-4 5.789563+2 5.982500-4 6.038313+2 6.030000-4 6.712999+2 6.050983-4 7.009404+2 6.087698-4 7.523690+2 6.148836-4 8.363585+2 6.220554-4 9.314408+2 6.301104-4 1.032728+3 6.359803-4 1.102282+3 6.441140-4 1.192120+3 6.546598-4 1.298117+3 6.618830-4 1.364305+3 6.741398-4 1.466946+3 6.855000-4 1.553113+3 7.000000-4 1.651858+3 7.140852-4 1.736132+3 7.235243-4 1.786340+3 7.417974-4 1.873768+3 7.585776-4 1.940914+3 7.746605-4 1.993047+3 7.943282-4 2.043781+3 8.268349-4 2.105486+3 8.328891-4 2.154561+3 8.370524-4 2.224922+3 8.391364-4 2.273025+3 8.434247-4 2.390048+3 8.488960-4 2.525547+3 8.514443-4 2.560398+3 8.535392-4 2.569482+3 8.555674-4 2.561131+3 8.580230-4 2.531501+3 8.659643-4 2.378624+3 8.675828-4 2.353212+3 8.700178-4 2.325146+3 8.738926-4 2.306897+3 8.787537-4 2.322013+3 8.848811-4 2.381126+3 8.895629-4 2.449698+3 8.962231-4 2.572245+3 9.019737-4 2.667073+3 9.047150-4 2.694586+3 9.065781-4 2.704375+3 9.088246-4 2.706489+3 9.113548-4 2.697774+3 9.216628-4 2.622057+3 9.245568-4 2.611622+3 9.282500-4 2.611178+3 9.362485-4 2.644755+3 9.489505-4 2.718082+3 9.685281-4 2.805176+3 9.993035-4 2.908246+3 1.028844-3 2.984231+3 1.059254-3 3.044015+3 1.096478-3 3.100045+3 1.128456-3 3.127012+3 1.165917-3 3.133753+3 1.179188-3 3.148220+3 1.194041-3 3.191103+3 1.219747-3 3.289305+3 1.232613-3 3.328118+3 1.259424-3 3.382798+3 1.298487-3 3.436775+3 1.342988-3 3.479639+3 1.389009-3 3.510480+3 1.429117-3 3.525143+3 1.495561-3 3.539825+3 1.526484-3 3.558262+3 1.557569-3 3.569270+3 1.606444-3 3.571045+3 1.656064-3 3.565705+3 1.727826-3 3.601776+3 1.798871-3 3.605971+3 1.883961-3 3.591322+3 1.978108-3 3.567023+3 2.074521-3 3.535716+3 2.191046-3 3.485972+3 2.309072-3 3.427146+3 2.449759-3 3.350304+3 2.583514-3 3.268318+3 2.705284-3 3.188935+3 2.862163-3 3.079379+3 3.006412-3 2.970792+3 3.130269-3 2.870089+3 3.259305-3 2.757708+3 3.368992-3 2.652908+3 3.467368-3 2.549124+3 3.559143-3 2.442494+3 3.641246-3 2.335668+3 3.699408-3 2.250387+3 3.752970-3 2.160799+3 3.802173-3 2.064689+3 3.841578-3 1.974673+3 3.873169-3 1.890318+3 3.906682-3 1.788632+3 3.935529-3 1.701974+3 3.953365-3 1.658843+3 3.963436-3 1.640843+3 3.977682-3 1.625012+3 3.990769-3 1.620986+3 4.004268-3 1.626935+3 4.021379-3 1.647213+3 4.039765-3 1.681249+3 4.099297-3 1.822376+3 4.122672-3 1.869301+3 4.174550-3 1.961159+3 4.203596-3 2.026485+3 4.246686-3 2.145672+3 4.313400-3 2.352791+3 4.343227-3 2.438914+3 4.363618-3 2.489690+3 4.392420-3 2.548927+3 4.428020-3 2.604936+3 4.465767-3 2.649099+3 4.504224-3 2.682291+3 4.553664-3 2.711652+3 4.603180-3 2.728212+3 4.648081-3 2.731398+3 4.687306-3 2.723465+3 4.762466-3 2.690643+3 4.778882-3 2.688049+3 4.796762-3 2.691422+3 4.813309-3 2.701665+3 4.841026-3 2.734488+3 4.920511-3 2.875358+3 4.944533-3 2.910868+3 4.974919-3 2.946368+3 5.011872-3 2.978244+3 5.060284-3 3.007952+3 5.121238-3 3.033828+3 5.188000-3 3.052579+3 5.256073-3 3.064196+3 5.418839-3 3.070235+3 5.511249-3 3.063574+3 5.671159-3 3.035702+3 5.800635-3 2.993719+3 5.880908-3 2.960840+3 5.942624-3 2.948762+3 6.084757-3 2.965592+3 6.177647-3 2.957587+3 6.299638-3 2.937412+3 6.501569-3 2.953138+3 6.684767-3 2.937286+3 6.954925-3 2.893691+3 7.454244-3 2.790956+3 7.831377-3 2.706154+3 8.427348-3 2.566499+3 8.939002-3 2.448172+3 9.506446-3 2.320211+3 1.024398-2 2.164662+3 1.104744-2 2.007420+3 1.208770-2 1.822124+3 1.264373-2 1.731520+3 1.326702-2 1.636029+3 1.387605-2 1.548184+3 1.453136-2 1.458978+3 1.513634-2 1.380302+3 1.566328-2 1.314322+3 1.618607-2 1.250522+3 1.662724-2 1.197327+3 1.700122-2 1.152039+3 1.732445-2 1.112286+3 1.758210-2 1.079512+3 1.781586-2 1.048380+3 1.800000-2 1.022305+3 1.814554-2 1.000092+3 1.828793-2 9.760840+2 1.839953-2 9.547147+2 1.848986-2 9.350829+2 1.861419-2 9.044047+2 1.878733-2 8.609022+2 1.886340-2 8.466072+2 1.893228-2 8.388663+2 1.900456-2 8.370955+2 1.907862-2 8.418644+2 1.916298-2 8.535713+2 1.937620-2 8.918581+2 1.950539-2 9.092731+2 1.959056-2 9.170852+2 1.969220-2 9.233355+2 1.981224-2 9.276436+2 1.994603-2 9.298416+2 2.010781-2 9.300564+2 2.046536-2 9.243820+2 2.093245-2 9.093972+2 2.149226-2 8.849603+2 2.181572-2 8.685741+2 2.234396-2 8.382579+2 2.274099-2 8.114971+2 2.291266-2 7.981206+2 2.306597-2 7.846274+2 2.327771-2 7.628291+2 2.355845-2 7.326551+2 2.367967-2 7.236029+2 2.379001-2 7.192825+2 2.390666-2 7.186119+2 2.457802-2 7.326169+2 2.506470-2 7.487525+2 2.531565-2 7.524841+2 2.569527-2 7.517378+2 2.618032-2 7.456626+2 2.680426-2 7.341162+2 2.791387-2 7.090008+2 2.913231-2 6.787110+2 3.085851-2 6.355180+2 3.306026-2 5.838280+2 3.645337-2 5.138657+2 3.975347-2 4.556123+2 4.308985-2 4.050031+2 4.820649-2 3.415558+2 5.210976-2 3.021073+2 5.671462-2 2.629799+2 6.427223-2 2.124322+2 7.611718-2 1.579067+2 8.609938-2 1.266077+2 9.712990-2 1.014182+2 1.053968-1 8.672948+1 1.122211-1 7.638773+1 1.172380-1 6.945455+1 1.191842-1 6.683374+1 1.207864-1 6.466294+1 1.221371-1 6.279002+1 1.232425-1 6.119094+1 1.241626-1 5.977054+1 1.249149-1 5.850357+1 1.259280-1 5.657468+1 1.276432-1 5.309523+1 1.281520-1 5.234179+1 1.287119-1 5.184834+1 1.293027-1 5.174708+1 1.299710-1 5.206292+1 1.315170-1 5.335608+1 1.323183-1 5.380767+1 1.334421-1 5.405444+1 1.342848-1 5.403406+1 1.363379-1 5.361294+1 1.388053-1 5.276138+1 1.429942-1 5.097705+1 1.472836-1 4.900536+1 1.536957-1 4.604563+1 1.649023-1 4.118585+1 1.804674-1 3.540917+1 2.022023-1 2.906195+1 2.304093-1 2.302123+1 2.726623-1 1.694475+1 3.349654-1 1.156727+1 4.170944-1 7.648759+0 5.523617-1 4.468865+0 8.181851-1 2.088575+0 1.228714+0 9.441441-1 1.859734+0 4.171176-1 3.384160+0 1.269771-1 1.022000+1 1.396986-2 3.086391+1 1.531886-3 9.320751+1 1.679680-4 2.814822+2 1.841732-5 8.500626+2 2.019419-6 3.162278+3 1.459245-7 1.000000+4 1.459245-8 3.162278+4 1.459245-9 1.000000+5 1.45924-10 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.670300-6 1.258900-6 4.232200-6 1.584900-6 6.707500-6 1.995300-6 1.063100-5 2.511900-6 1.684800-5 3.162300-6 2.670300-5 3.981100-6 4.232100-5 5.011900-6 6.707400-5 6.309600-6 1.063000-4 7.943300-6 1.684800-4 1.000000-5 2.670200-4 1.258900-5 4.231900-4 1.584900-5 6.703900-4 1.995300-5 1.061800-3 2.511900-5 1.682100-3 3.162300-5 2.664800-3 3.981100-5 4.222300-3 5.011900-5 6.690300-3 6.309600-5 1.060100-2 7.943300-5 1.677300-2 1.000000-4 2.652500-2 1.258900-4 4.194500-2 1.584900-4 6.615900-2 1.995300-4 1.041600-1 2.511900-4 1.632800-1 3.162300-4 2.543800-1 3.981100-4 3.923200-1 5.011900-4 5.936700-1 6.309600-4 8.780900-1 7.943300-4 1.259200+0 1.000000-3 1.745700+0 1.258900-3 2.349900+0 1.584900-3 3.102400+0 1.995300-3 4.050900+0 2.511900-3 5.228300+0 3.162300-3 6.653300+0 3.981100-3 8.336800+0 5.011900-3 1.028400+1 6.309600-3 1.248000+1 7.943300-3 1.496000+1 1.000000-2 1.774900+1 1.258900-2 2.082600+1 1.584900-2 2.404700+1 1.995300-2 2.719600+1 2.511900-2 3.017300+1 3.162300-2 3.294900+1 3.981100-2 3.543000+1 5.011900-2 3.742700+1 6.309600-2 3.878700+1 7.943300-2 3.944900+1 1.000000-1 3.944700+1 1.258900-1 3.881400+1 1.584900-1 3.760600+1 1.995300-1 3.593800+1 2.511900-1 3.393500+1 3.162300-1 3.172200+1 3.981100-1 2.938700+1 5.011900-1 2.699800+1 6.309600-1 2.462200+1 7.943300-1 2.229900+1 1.000000+0 2.005500+1 1.258900+0 1.791500+1 1.584900+0 1.589500+1 1.995300+0 1.400800+1 2.511900+0 1.226400+1 3.162300+0 1.066900+1 3.981100+0 9.225200+0 5.011900+0 7.931800+0 6.309600+0 6.783800+0 7.943300+0 5.773800+0 1.000000+1 4.892100+0 1.258900+1 4.128400+0 1.584900+1 3.471000+0 1.995300+1 2.908700+0 2.511900+1 2.430100+0 3.162300+1 2.024700+0 3.981100+1 1.682800+0 5.011900+1 1.395600+0 6.309600+1 1.155100+0 7.943300+1 9.542500-1 1.000000+2 7.870400-1 1.258900+2 6.481500-1 1.584900+2 5.330200-1 1.995300+2 4.377900-1 2.511900+2 3.591500-1 3.162300+2 2.943200-1 3.981100+2 2.409500-1 5.011900+2 1.970700-1 6.309600+2 1.610400-1 7.943300+2 1.314900-1 1.000000+3 1.072800-1 1.258900+3 8.746400-2 1.584900+3 7.126000-2 1.995300+3 5.802100-2 2.511900+3 4.721200-2 3.162300+3 3.839500-2 3.981100+3 3.120700-2 5.011900+3 2.535200-2 6.309600+3 2.058500-2 7.943300+3 1.670600-2 1.000000+4 1.355200-2 1.258900+4 1.098900-2 1.584900+4 8.906600-3 1.995300+4 7.216000-3 2.511900+4 5.844000-3 3.162300+4 4.731200-3 3.981100+4 3.828900-3 5.011900+4 3.097600-3 6.309600+4 2.505100-3 7.943300+4 2.025300-3 1.000000+5 1.636900-3 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510165-4 3.162278-4 3.159556-4 3.981072-4 3.976775-4 5.011872-4 5.005108-4 6.309573-4 6.298950-4 7.943282-4 7.926660-4 1.000000-3 9.974031-4 1.258925-3 1.254876-3 1.584893-3 1.578563-3 1.995262-3 1.985329-3 2.511886-3 2.496320-3 3.162278-3 3.137824-3 3.981072-3 3.942837-3 5.011872-3 4.952094-3 6.309573-3 6.216137-3 7.943282-3 7.797678-3 1.000000-2 9.772763-3 1.258925-2 1.223520-2 1.584893-2 1.529982-2 1.995262-2 1.910641-2 2.511886-2 2.382078-2 3.162278-2 2.963851-2 3.981072-2 3.679023-2 5.011872-2 4.555075-2 6.309573-2 5.624849-2 7.943282-2 6.926772-2 1.000000-1 8.501242-2 1.258925-1 1.040104-1 1.584893-1 1.268694-1 1.995262-1 1.542670-1 2.511886-1 1.869925-1 3.162278-1 2.258333-1 3.981072-1 2.719345-1 5.011872-1 3.264774-1 6.309573-1 3.908532-1 7.943282-1 4.667290-1 1.000000+0 5.559702-1 1.258925+0 6.613164-1 1.584893+0 7.855172-1 1.995262+0 9.325432-1 2.511886+0 1.107078+0 3.162278+0 1.314766+0 3.981072+0 1.562715+0 5.011872+0 1.859588+0 6.309573+0 2.215741+0 7.943282+0 2.644413+0 1.000000+1 3.160906+0 1.258925+1 3.785091+0 1.584893+1 4.540221+0 1.995262+1 5.455457+0 2.511886+1 6.566315+0 3.162278+1 7.916202+0 3.981072+1 9.559089+0 5.011872+1 1.155973+1 6.309573+1 1.399937+1 7.943282+1 1.697696+1 1.000000+2 2.061441+1 1.258925+2 2.506175+1 1.584893+2 3.050325+1 1.995262+2 3.716673+1 2.511886+2 4.533176+1 3.162278+2 5.534454+1 3.981072+2 6.762902+1 5.011872+2 8.271235+1 6.309573+2 1.012420+2 7.943282+2 1.240181+2 1.000000+3 1.520262+2 1.258925+3 1.864899+2 1.584893+3 2.289163+2 1.995262+3 2.811755+2 2.511886+3 3.455620+2 3.162278+3 4.249286+2 3.981072+3 5.228145+2 5.011872+3 6.435768+2 6.309573+3 7.926391+2 7.943282+3 9.766720+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88200-10 1.995262-5 1.090636-9 2.511886-5 1.728513-9 3.162278-5 2.739536-9 3.981072-5 4.341911-9 5.011872-5 6.881434-9 6.309573-5 1.090601-8 7.943282-5 1.727687-8 1.000000-4 2.737415-8 1.258925-4 4.337601-8 1.584893-4 6.869089-8 1.995262-4 1.087684-7 2.511886-4 1.721301-7 3.162278-4 2.721614-7 3.981072-4 4.296882-7 5.011872-4 6.764750-7 6.309573-4 1.062338-6 7.943282-4 1.662210-6 1.000000-3 2.596893-6 1.258925-3 4.049346-6 1.584893-3 6.330033-6 1.995262-3 9.933082-6 2.511886-3 1.556666-5 3.162278-3 2.445328-5 3.981072-3 3.823425-5 5.011872-3 5.977818-5 6.309573-3 9.343611-5 7.943282-3 1.456045-4 1.000000-2 2.272370-4 1.258925-2 3.540582-4 1.584893-2 5.491119-4 1.995262-2 8.462154-4 2.511886-2 1.298086-3 3.162278-2 1.984271-3 3.981072-2 3.020486-3 5.011872-2 4.567975-3 6.309573-2 6.847241-3 7.943282-2 1.016510-2 1.000000-1 1.498758-2 1.258925-1 2.188218-2 1.584893-1 3.161989-2 1.995262-1 4.525926-2 2.511886-1 6.419619-2 3.162278-1 9.039444-2 3.981072-1 1.261727-1 5.011872-1 1.747098-1 6.309573-1 2.401042-1 7.943282-1 3.275993-1 1.000000+0 4.440298-1 1.258925+0 5.976090-1 1.584893+0 7.993760-1 1.995262+0 1.062719+0 2.511886+0 1.404809+0 3.162278+0 1.847512+0 3.981072+0 2.418356+0 5.011872+0 3.152284+0 6.309573+0 4.093833+0 7.943282+0 5.298870+0 1.000000+1 6.839094+0 1.258925+1 8.804163+0 1.584893+1 1.130871+1 1.995262+1 1.449717+1 2.511886+1 1.855255+1 3.162278+1 2.370657+1 3.981072+1 3.025163+1 5.011872+1 3.855900+1 6.309573+1 4.909636+1 7.943282+1 6.245586+1 1.000000+2 7.938559+1 1.258925+2 1.008308+2 1.584893+2 1.279861+2 1.995262+2 1.623595+2 2.511886+2 2.058569+2 3.162278+2 2.608832+2 3.981072+2 3.304782+2 5.011872+2 4.184749+2 6.309573+2 5.297154+2 7.943282+2 6.703101+2 1.000000+3 8.479738+2 1.258925+3 1.072436+3 1.584893+3 1.355977+3 1.995262+3 1.714087+3 2.511886+3 2.166324+3 3.162278+3 2.737349+3 3.981072+3 3.458257+3 5.011872+3 4.368296+3 6.309573+3 5.516934+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 3.930000-6 6.129062+6 4.000000-6 6.204180+6 4.200000-6 6.354960+6 4.466836-6 6.492110+6 4.650000-6 6.547620+6 4.650000-6 9.288278+6 4.731513-6 9.382398+6 4.900000-6 9.523031+6 5.100000-6 9.669481+6 5.128614-6 9.686515+6 5.370318-6 9.805299+6 5.432503-6 9.829838+6 5.700000-6 9.906362+6 5.888437-6 9.943232+6 6.025596-6 9.957288+6 6.180000-6 9.963799+6 6.180000-6 2.057288+7 6.382635-6 1.957037+7 6.456542-6 1.922613+7 6.760830-6 1.792138+7 6.918310-6 1.732821+7 7.244360-6 1.623983+7 7.585776-6 1.527776+7 7.762471-6 1.483280+7 8.035261-6 1.420656+7 8.222426-6 1.382645+7 8.317638-6 1.363955+7 8.912509-6 1.260487+7 9.549926-6 1.167775+7 1.023293-5 1.083415+7 1.083927-5 1.016474+7 1.100000-5 9.999356+6 1.109175-5 9.903242+6 1.150000-5 9.504112+6 1.174898-5 9.271020+6 1.195000-5 9.083169+6 1.195000-5 1.002366+7 1.216186-5 9.811276+6 1.219000-5 9.784458+6 1.250000-5 9.490212+6 1.273503-5 9.269738+6 1.288250-5 9.134057+6 1.318257-5 8.871327+6 1.348000-5 8.618760+6 1.348000-5 9.174996+6 1.348963-5 9.166680+6 1.364583-5 9.029163+6 1.365000-5 9.025585+6 1.396368-5 8.768278+6 1.412538-5 8.635909+6 1.420000-5 8.577042+6 1.428894-5 8.505497+6 1.445440-5 8.376297+6 1.479108-5 8.128802+6 1.480000-5 8.122183+6 1.490000-5 8.049272+6 1.496236-5 8.005217+6 1.531087-5 7.759954+6 1.566751-5 7.530629+6 1.570000-5 7.509563+6 1.584893-5 7.413346+6 1.621810-5 7.188375+6 1.630000-5 7.141513+6 1.650000-5 7.031319+6 1.659587-5 6.978148+6 1.670000-5 6.919426+6 1.678804-5 6.871673+6 1.717908-5 6.671848+6 1.730000-5 6.614378+6 1.737801-5 6.578592+6 1.757924-5 6.485488+6 1.770000-5 6.429240+6 1.778279-5 6.392419+6 1.830000-5 6.179975+6 1.840772-5 6.140526+6 1.862087-5 6.062410+6 1.883649-5 5.984314+6 1.927525-5 5.844443+6 1.950000-5 5.780106+6 1.980000-5 5.700106+6 1.990000-5 5.673869+6 2.018366-5 5.605638+6 2.055000-5 5.529607+6 2.070000-5 5.502216+6 2.089296-5 5.467787+6 2.113489-5 5.430542+6 2.187762-5 5.339543+6 2.190000-5 5.337571+6 2.213095-5 5.320701+6 2.264644-5 5.292185+6 2.270000-5 5.289876+6 2.300000-5 5.282225+6 2.371374-5 5.291719+6 2.454709-5 5.342369+6 2.483133-5 5.368567+6 2.500000-5 5.386310+6 2.580000-5 5.495952+6 2.660725-5 5.638064+6 2.694000-5 5.705932+6 2.700000-5 5.718783+6 2.700000-5 2.176598+7 2.786121-5 2.017389+7 2.818383-5 1.968114+7 2.851018-5 1.921453+7 2.917427-5 1.836436+7 2.951209-5 1.797993+7 2.985383-5 1.763880+7 3.000000-5 1.750040+7 3.126079-5 1.647901+7 3.162278-5 1.625531+7 3.300000-5 1.555784+7 3.311311-5 1.551274+7 3.388442-5 1.522566+7 3.427678-5 1.511135+7 3.467369-5 1.501329+7 3.507519-5 1.491818+7 3.589219-5 1.477194+7 3.630781-5 1.471186+7 3.715352-5 1.462178+7 3.758374-5 1.459672+7 3.890451-5 1.454908+7 3.900000-5 1.454970+7 3.935501-5 1.455098+7 3.964000-5 1.455007+7 3.964000-5 2.102989+7 4.027170-5 2.081695+7 4.030000-5 2.080814+7 4.073803-5 2.066085+7 4.120975-5 2.051127+7 4.150000-5 2.042096+7 4.216965-5 2.022143+7 4.265795-5 2.009499+7 4.300000-5 2.001012+7 4.315191-5 1.997450+7 4.400000-5 1.978235+7 4.466836-5 1.965874+7 4.518559-5 1.957119+7 4.570882-5 1.949118+7 4.623810-5 1.941136+7 4.677351-5 1.934264+7 4.800000-5 1.921150+7 4.841724-5 1.917945+7 4.900000-5 1.912786+7 5.011872-5 1.904364+7 5.069907-5 1.901428+7 5.080000-5 1.901038+7 5.150000-5 1.897613+7 5.248075-5 1.892787+7 5.308844-5 1.890918+7 5.370318-5 1.889822+7 5.400000-5 1.888913+7 5.432503-5 1.887623+7 5.559043-5 1.883819+7 5.623413-5 1.883098+7 5.650000-5 1.882420+7 5.754399-5 1.879061+7 5.800000-5 1.878073+7 5.821032-5 1.877707+7 5.900000-5 1.874677+7 6.025596-5 1.869083+7 6.069000-5 1.867637+7 6.069000-5 1.905769+7 6.070000-5 1.905720+7 6.095369-5 1.903820+7 6.150000-5 1.899820+7 6.190000-5 1.896277+7 6.309573-5 1.886373+7 6.382635-5 1.879113+7 6.400000-5 1.877461+7 6.500000-5 1.866519+7 6.531306-5 1.863320+7 6.606934-5 1.853942+7 6.683439-5 1.843482+7 6.760830-5 1.833413+7 6.839116-5 1.821535+7 6.918310-5 1.808405+7 7.000000-5 1.795479+7 7.079458-5 1.781230+7 7.161434-5 1.765354+7 7.244360-5 1.749929+7 7.328245-5 1.732738+7 7.413102-5 1.714266+7 7.500000-5 1.695937+7 7.585776-5 1.676398+7 7.673615-5 1.655332+7 7.762471-5 1.634655+7 7.800000-5 1.625268+7 7.852356-5 1.612402+7 7.943282-5 1.589031+7 8.000000-5 1.574806+7 8.035261-5 1.566113+7 8.128305-5 1.541696+7 8.222426-5 1.516255+7 8.317638-5 1.491301+7 8.413951-5 1.465048+7 8.511380-5 1.437856+7 8.609938-5 1.411214+7 8.709636-5 1.383380+7 8.810489-5 1.354700+7 8.912509-5 1.326678+7 9.015711-5 1.297550+7 9.120108-5 1.267712+7 9.225714-5 1.238588+7 9.332543-5 1.208538+7 9.500000-5 1.161669+7 9.650000-5 1.119898+7 9.660509-5 1.116935+7 9.800000-5 1.078631+7 9.900000-5 1.051020+7 9.950000-5 1.037606+7 1.011579-4 9.932196+6 1.023293-4 9.621109+6 1.040000-4 9.186326+6 1.047129-4 9.001495+6 1.050000-4 8.928495+6 1.059254-4 8.691492+6 1.071519-4 8.390425+6 1.080000-4 8.182032+6 1.083927-4 8.085055+6 1.100000-4 7.703473+6 1.102500-4 7.646282+6 1.109175-4 7.490716+6 1.110000-4 7.471777+6 1.135011-4 6.912710+6 1.161449-4 6.348068+6 1.170000-4 6.178258+6 1.174898-4 6.077689+6 1.205000-4 5.503220+6 1.220000-4 5.228074+6 1.240000-4 4.888081+6 1.252300-4 4.682461+6 1.252300-4 5.580013+6 1.254000-4 5.573467+6 1.258925-4 5.549239+6 1.261000-4 5.540422+6 1.277300-4 5.515887+6 1.280000-4 5.515635+6 1.288250-4 5.520724+6 1.290000-4 5.523903+6 1.298000-4 5.538170+6 1.303167-4 5.547854+6 1.305000-4 5.552645+6 1.311900-4 5.565899+6 1.315000-4 5.569569+6 1.318257-4 5.573079+6 1.325000-4 5.573795+6 1.331000-4 5.568935+6 1.337000-4 5.558067+6 1.343000-4 5.540589+6 1.350000-4 5.511488+6 1.358000-4 5.462310+6 1.364583-4 5.411731+6 1.364600-4 5.411604+6 1.364600-4 5.987968+6 1.366700-4 5.982763+6 1.372000-4 5.962876+6 1.373000-4 5.960268+6 1.378000-4 5.942289+6 1.380384-4 5.936431+6 1.385000-4 5.920225+6 1.390000-4 5.908457+6 1.391000-4 5.906240+6 1.391900-4 5.903055+6 1.396368-4 5.888046+6 1.400000-4 5.878068+6 1.402000-4 5.873459+6 1.407000-4 5.858711+6 1.414000-4 5.840577+6 1.415000-4 5.837578+6 1.423000-4 5.812076+6 1.428894-4 5.792818+6 1.430000-4 5.788532+6 1.430700-4 5.785786+6 1.437000-4 5.756847+6 1.442000-4 5.732386+6 1.447000-4 5.705639+6 1.448000-4 5.699953+6 1.455000-4 5.654581+6 1.462177-4 5.602997+6 1.465000-4 5.580095+6 1.470000-4 5.539181+6 1.479108-4 5.452663+6 1.488000-4 5.361341+6 1.498000-4 5.251828+6 1.500000-4 5.228721+6 1.505000-4 5.169074+6 1.513561-4 5.063568+6 1.515000-4 5.046194+6 1.525000-4 4.921187+6 1.531087-4 4.843208+6 1.541400-4 4.712695+6 1.548817-4 4.617460+6 1.560000-4 4.476420+6 1.566751-4 4.391111+6 1.584893-4 4.168555+6 1.600000-4 3.989956+6 1.603245-4 3.952285+6 1.604600-4 3.936575+6 1.621810-4 3.742319+6 1.640590-4 3.540834+6 1.650000-4 3.443701+6 1.670000-4 3.245584+6 1.678804-4 3.161635+6 1.705000-4 2.925153+6 1.717908-4 2.814429+6 1.720000-4 2.796712+6 1.737801-4 2.651752+6 1.740000-4 2.634534+6 1.760000-4 2.482578+6 1.770000-4 2.409785+6 1.778279-4 2.351290+6 1.798871-4 2.212647+6 1.800000-4 2.205363+6 1.810000-4 2.141847+6 1.835000-4 1.990407+6 1.850000-4 1.905897+6 1.862087-4 1.840881+6 1.865000-4 1.825662+6 1.880000-4 1.749549+6 1.890000-4 1.700825+6 1.905461-4 1.628648+6 1.927525-4 1.533243+6 1.929400-4 1.525496+6 1.930000-4 1.523028+6 1.940000-4 1.482496+6 1.972423-4 1.360429+6 1.980000-4 1.333812+6 1.995262-4 1.282992+6 2.000000-4 1.267751+6 2.020000-4 1.206209+6 2.041738-4 1.143838+6 2.060000-4 1.096076+6 2.065380-4 1.082593+6 2.090000-4 1.023812+6 2.113489-4 9.720728+5 2.120000-4 9.587014+5 2.137962-4 9.232370+5 2.150000-4 9.009162+5 2.160000-4 8.830224+5 2.170000-4 8.657465+5 2.180000-4 8.492996+5 2.190200-4 8.330933+5 2.198000-4 8.210497+5 2.213095-4 7.985806+5 2.220000-4 7.887165+5 2.230000-4 7.750295+5 2.238721-4 7.635254+5 2.245000-4 7.555148+5 2.250000-4 7.492706+5 2.260000-4 7.370733+5 2.264644-4 7.315493+5 2.265000-4 7.311289+5 2.275000-4 7.195247+5 2.280000-4 7.138715+5 2.290868-4 7.021899+5 2.292300-4 7.006710+5 2.295000-4 6.978472+5 2.307000-4 6.855688+5 2.323000-4 6.699250+5 2.330000-4 6.633660+5 2.340000-4 6.546234+5 2.341500-4 6.533392+5 2.350000-4 6.462105+5 2.358000-4 6.396219+5 2.371374-4 6.290557+5 2.373000-4 6.277910+5 2.380000-4 6.224431+5 2.391700-4 6.137721+5 2.396500-4 6.104480+5 2.396500-4 9.430620+5 2.400000-4 9.400196+5 2.407000-4 9.341489+5 2.426610-4 9.182207+5 2.445000-4 9.040438+5 2.450000-4 9.003018+5 2.454709-4 8.969277+5 2.465000-4 8.898724+5 2.483133-4 8.778756+5 2.490000-4 8.734440+5 2.500000-4 8.671960+5 2.520000-4 8.555467+5 2.540973-4 8.442633+5 2.560000-4 8.344739+5 2.570396-4 8.295751+5 2.580000-4 8.251464+5 2.600160-4 8.164373+5 2.620000-4 8.082526+5 2.630268-4 8.043635+5 2.635000-4 8.025106+5 2.650000-4 7.969704+5 2.670000-4 7.897674+5 2.691535-4 7.827633+5 2.710000-4 7.772996+5 2.730000-4 7.714601+5 2.754229-4 7.652225+5 2.770000-4 7.615854+5 2.786121-4 7.578358+5 2.800000-4 7.549002+5 2.818383-4 7.515037+5 2.830000-4 7.495966+5 2.880000-4 7.415331+5 2.884032-4 7.409931+5 2.917427-4 7.367802+5 2.930000-4 7.353209+5 2.951209-4 7.330219+5 2.985383-4 7.303743+5 3.000000-4 7.292703+5 3.019952-4 7.276905+5 3.030000-4 7.270359+5 3.050000-4 7.260152+5 3.060000-4 7.254904+5 3.090295-4 7.238160+5 3.100000-4 7.233260+5 3.126079-4 7.222160+5 3.148000-4 7.214062+5 3.148000-4 8.457712+5 3.150000-4 8.454750+5 3.162278-4 8.436920+5 3.180000-4 8.411018+5 3.198895-4 8.385992+5 3.235937-4 8.341272+5 3.273407-4 8.299946+5 3.311311-4 8.255036+5 3.325000-4 8.238873+5 3.349654-4 8.207537+5 3.350000-4 8.207083+5 3.388442-4 8.163542+5 3.390000-4 8.161941+5 3.400000-4 8.151259+5 3.440000-4 8.109139+5 3.470000-4 8.077524+5 3.470500-4 8.077041+5 3.540000-4 8.011292+5 3.550000-4 8.001816+5 3.589219-4 7.967432+5 3.600000-4 7.958848+5 3.630781-4 7.936619+5 3.650000-4 7.922199+5 3.672823-4 7.904418+5 3.715352-4 7.873002+5 3.758374-4 7.842780+5 3.801894-4 7.810432+5 3.843000-4 7.781647+5 3.843000-4 8.236981+5 3.845918-4 8.234704+5 3.850000-4 8.231547+5 3.890451-4 8.201817+5 3.935501-4 8.167208+5 3.970000-4 8.141830+5 4.000000-4 8.119160+5 4.027170-4 8.099519+5 4.073803-4 8.064407+5 4.100000-4 8.043356+5 4.120975-4 8.027149+5 4.168694-4 7.991459+5 4.216965-4 7.954010+5 4.265795-4 7.915508+5 4.315191-4 7.877821+5 4.365158-4 7.838453+5 4.415704-4 7.796907+5 4.466836-4 7.756281+5 4.518559-4 7.714031+5 4.550000-4 7.687870+5 4.570882-4 7.671066+5 4.600000-4 7.647904+5 4.623810-4 7.628843+5 4.677351-4 7.584616+5 4.731513-4 7.537373+5 4.786301-4 7.491709+5 4.841724-4 7.444356+5 4.874700-4 7.415819+5 4.874700-4 8.156310+5 4.886000-4 8.131777+5 4.897788-4 8.111224+5 4.914000-4 8.089468+5 4.930000-4 8.073192+5 4.932000-4 8.071192+5 4.954502-4 8.053441+5 4.970000-4 8.040472+5 5.000000-4 8.019141+5 5.011872-4 8.010787+5 5.012500-4 8.010442+5 5.022500-4 8.004630+5 5.022500-4 8.495434+5 5.024000-4 8.496974+5 5.031000-4 8.498327+5 5.032200-4 8.498181+5 5.045000-4 8.499453+5 5.055000-4 8.499158+5 5.069907-4 8.502849+5 5.070000-4 8.502870+5 5.075000-4 8.505454+5 5.087000-4 8.510780+5 5.100000-4 8.520904+5 5.110000-4 8.532221+5 5.115000-4 8.537682+5 5.128614-4 8.557930+5 5.143000-4 8.585846+5 5.150000-4 8.602500+5 5.155000-4 8.614765+5 5.170000-4 8.658838+5 5.185000-4 8.713949+5 5.190000-4 8.735232+5 5.200000-4 8.780986+5 5.208000-4 8.822467+5 5.215000-4 8.861472+5 5.222000-4 8.904554+5 5.230000-4 8.957435+5 5.238000-4 9.016075+5 5.248075-4 9.096153+5 5.253000-4 9.136588+5 5.265000-4 9.248543+5 5.280000-4 9.403432+5 5.295000-4 9.582536+5 5.300000-4 9.647249+5 5.308844-4 9.766250+5 5.310000-4 9.782230+5 5.320000-4 9.927577+5 5.335000-4 1.016589+6 5.350000-4 1.043053+6 5.365000-4 1.071765+6 5.370318-4 1.082720+6 5.380000-4 1.103545+6 5.385000-4 1.114396+6 5.400000-4 1.149354+6 5.407000-4 1.166702+6 5.432503-4 1.234062+6 5.457000-4 1.305710+6 5.480000-4 1.378733+6 5.495409-4 1.430600+6 5.500000-4 1.446803+6 5.510000-4 1.482146+6 5.520000-4 1.518758+6 5.540000-4 1.593992+6 5.550000-4 1.633676+6 5.559043-4 1.669291+6 5.560000-4 1.673137+6 5.580000-4 1.756047+6 5.600000-4 1.840426+6 5.610000-4 1.884252+6 5.623413-4 1.942685+6 5.628000-4 1.963312+6 5.642000-4 2.026974+6 5.650000-4 2.062983+6 5.670000-4 2.155460+6 5.688529-4 2.240579+6 5.697000-4 2.281144+6 5.720000-4 2.388093+6 5.730000-4 2.435786+6 5.740000-4 2.482128+6 5.754399-4 2.549215+6 5.760000-4 2.575968+6 5.770000-4 2.622098+6 5.790000-4 2.714595+6 5.800000-4 2.759845+6 5.821032-4 2.854919+6 5.830000-4 2.894492+6 5.850000-4 2.981480+6 5.865000-4 3.044769+6 5.888437-4 3.142127+6 5.890000-4 3.148760+6 5.900000-4 3.188605+6 5.930000-4 3.305820+6 5.956621-4 3.401922+6 5.965000-4 3.432889+6 6.000000-4 3.550610+6 6.025596-4 3.628724+6 6.030000-4 3.642365+6 6.050000-4 3.701466+6 6.065000-4 3.742904+6 6.095369-4 3.823011+6 6.100000-4 3.835386+6 6.140000-4 3.927763+6 6.157900-4 3.966614+6 6.165950-4 3.982386+6 6.190000-4 4.029878+6 6.220000-4 4.084766+6 6.237348-4 4.113280+6 6.240000-4 4.117659+6 6.280000-4 4.177082+6 6.300000-4 4.203248+6 6.350000-4 4.261658+6 6.382635-4 4.289540+6 6.410000-4 4.312920+6 6.430000-4 4.327621+6 6.456542-4 4.342651+6 6.460000-4 4.344607+6 6.531306-4 4.376791+6 6.606934-4 4.390718+6 6.653400-4 4.394144+6 6.720500-4 4.391813+6 6.760830-4 4.386362+6 6.780000-4 4.383791+6 6.839116-4 4.370429+6 6.850000-4 4.367972+6 6.918310-4 4.347405+6 6.930000-4 4.343907+6 7.000000-4 4.317283+6 7.080000-4 4.281671+6 7.161434-4 4.240583+6 7.244360-4 4.194851+6 7.300000-4 4.164662+6 7.328245-4 4.148022+6 7.350000-4 4.135209+6 7.413102-4 4.095759+6 7.498942-4 4.043242+6 7.500000-4 4.042603+6 7.585776-4 3.987653+6 7.673615-4 3.929617+6 7.762471-4 3.872339+6 7.800000-4 3.848563+6 7.852356-4 3.813803+6 8.000000-4 3.713952+6 8.035261-4 3.690766+6 8.128305-4 3.630774+6 8.200000-4 3.583475+6 8.222426-4 3.568318+6 8.413951-4 3.442865+6 8.511380-4 3.381748+6 8.609938-4 3.318905+6 8.637100-4 3.301381+6 8.654400-4 3.290284+6 8.654400-4 3.623916+6 8.709636-4 3.590461+6 8.781000-4 3.548068+6 8.912509-4 3.474003+6 9.015711-4 3.418062+6 9.120108-4 3.359428+6 9.170000-4 3.332118+6 9.196400-4 3.317268+6 9.196400-4 3.486828+6 9.200000-4 3.485075+6 9.225714-4 3.472603+6 9.308000-4 3.433514+6 9.332543-4 3.421819+6 9.350000-4 3.413551+6 9.415000-4 3.382684+6 9.440609-4 3.370438+6 9.500000-4 3.342468+6 9.530000-4 3.327570+6 9.549926-4 3.317536+6 9.650000-4 3.266759+6 9.700000-4 3.241485+6 9.772372-4 3.205248+6 9.885531-4 3.149075+6 9.900000-4 3.142026+6 1.000000-3 3.093317+6 1.015000-3 3.018499+6 1.023293-3 2.977119+6 1.047129-3 2.862093+6 1.059254-3 2.806449+6 1.070000-3 2.758619+6 1.071519-3 2.751826+6 1.074300-3 2.739221+6 1.083927-3 2.695955+6 1.096478-3 2.641194+6 1.122018-3 2.534836+6 1.135011-3 2.483491+6 1.148154-3 2.431554+6 1.150000-3 2.424401+6 1.161449-3 2.380023+6 1.174898-3 2.329308+6 1.190000-3 2.274481+6 1.194400-3 2.258886+6 1.194400-3 2.401206+6 1.202264-3 2.372818+6 1.216186-3 2.322594+6 1.230269-3 2.272580+6 1.258925-3 2.175971+6 1.285000-3 2.093877+6 1.288250-3 2.083942+6 1.303167-3 2.038963+6 1.318257-3 1.994423+6 1.333521-3 1.950523+6 1.348963-3 1.907501+6 1.364583-3 1.865555+6 1.380384-3 1.824313+6 1.400000-3 1.774853+6 1.412538-3 1.743842+6 1.420000-3 1.725775+6 1.445440-3 1.665659+6 1.450000-3 1.655234+6 1.462177-3 1.627682+6 1.479108-3 1.590347+6 1.493200-3 1.560310+6 1.493200-3 1.579226+6 1.500000-3 1.565051+6 1.513561-3 1.536927+6 1.548817-3 1.466888+6 1.570000-3 1.426752+6 1.584893-3 1.399543+6 1.603245-3 1.367121+6 1.610000-3 1.355490+6 1.621810-3 1.335517+6 1.630000-3 1.321936+6 1.650000-3 1.289668+6 1.659587-3 1.274363+6 1.664100-3 1.267162+6 1.664100-3 1.289600+6 1.678804-3 1.266360+6 1.698244-3 1.236652+6 1.717908-3 1.207729+6 1.730000-3 1.190468+6 1.750000-3 1.162550+6 1.757924-3 1.151788+6 1.778279-3 1.124776+6 1.800000-3 1.096602+6 1.840772-3 1.046150+6 1.862087-3 1.021234+6 1.883649-3 9.969664+5 1.905461-3 9.733028+5 1.927525-3 9.498867+5 1.949845-3 9.270805+5 1.950000-3 9.269252+5 1.972423-3 9.048593+5 2.000000-3 8.784631+5 2.018366-3 8.615568+5 2.041738-3 8.405904+5 2.065380-3 8.201492+5 2.089296-3 8.001285+5 2.113489-3 7.806222+5 2.150000-3 7.525483+5 2.162719-3 7.430539+5 2.187762-3 7.245570+5 2.238721-3 6.888591+5 2.264644-3 6.717327+5 2.290868-3 6.550765+5 2.317395-3 6.388573+5 2.344229-3 6.230583+5 2.371374-3 6.076868+5 2.376900-3 6.046121+5 2.400000-3 5.919625+5 2.454709-3 5.631419+5 2.511886-3 5.352398+5 2.540973-3 5.218463+5 2.570396-3 5.088221+5 2.600160-3 4.960412+5 2.630268-3 4.835046+5 2.660725-3 4.711764+5 2.691535-3 4.591942+5 2.754229-3 4.361729+5 2.800000-3 4.204130+5 2.818383-3 4.142937+5 2.851018-3 4.036927+5 2.884032-3 3.933627+5 2.900000-3 3.885106+5 2.917427-3 3.833161+5 2.951209-3 3.734255+5 3.019952-3 3.544641+5 3.054921-3 3.453561+5 3.090295-3 3.365014+5 3.126079-3 3.277856+5 3.162278-3 3.193153+5 3.198895-3 3.110587+5 3.223700-3 3.056263+5 3.235937-3 3.029886+5 3.273407-3 2.951108+5 3.349654-3 2.800186+5 3.388442-3 2.726883+5 3.467369-3 2.586466+5 3.500000-3 2.531496+5 3.507519-3 2.519079+5 3.548134-3 2.453259+5 3.589219-3 2.388978+5 3.600000-3 2.372479+5 3.650000-3 2.298074+5 3.715352-3 2.205641+5 3.720000-3 2.199232+5 3.758374-3 2.147293+5 3.845918-3 2.035537+5 3.890451-3 1.981999+5 3.900000-3 1.970766+5 3.935501-3 1.929716+5 4.000000-3 1.858153+5 4.015600-3 1.841382+5 4.015600-3 4.329993+5 4.027170-3 4.298501+5 4.073803-3 4.174485+5 4.120975-3 4.053832+5 4.168694-3 3.936780+5 4.237200-3 3.776912+5 4.237200-3 5.356098+5 4.265795-3 5.261278+5 4.285000-3 5.198910+5 4.315191-3 5.111219+5 4.350000-3 5.012678+5 4.365158-3 4.967745+5 4.400000-3 4.866595+5 4.415704-3 4.821855+5 4.466836-3 4.680039+5 4.518559-3 4.542228+5 4.570882-3 4.409251+5 4.731513-3 4.033495+5 4.786301-3 3.913899+5 4.829000-3 3.824093+5 4.829000-3 4.462553+5 4.841724-3 4.434071+5 4.897788-3 4.311608+5 4.900000-3 4.306878+5 4.920000-3 4.264396+5 4.954502-3 4.191518+5 5.000000-3 4.098060+5 5.011872-3 4.074130+5 5.069907-3 3.959965+5 5.128614-3 3.847936+5 5.188000-3 3.739209+5 5.308844-3 3.527664+5 5.370318-3 3.426578+5 5.432503-3 3.328397+5 5.495409-3 3.232536+5 5.500000-3 3.225693+5 5.623413-3 3.048195+5 5.688529-3 2.960091+5 5.754399-3 2.874546+5 5.821032-3 2.791557+5 5.888437-3 2.711057+5 5.945600-3 2.645359+5 5.945600-3 2.806862+5 5.956621-3 2.794219+5 6.025596-3 2.716319+5 6.095369-3 2.640745+5 6.100000-3 2.635828+5 6.165950-3 2.566888+5 6.237348-3 2.494288+5 6.309573-3 2.423823+5 6.313100-3 2.420457+5 6.313100-3 2.521630+5 6.382635-3 2.455209+5 6.500000-3 2.348845+5 6.531306-3 2.321571+5 6.606934-3 2.257493+5 6.650000-3 2.222130+5 6.683439-3 2.195172+5 6.760830-3 2.134072+5 6.800000-3 2.104093+5 6.839116-3 2.074642+5 6.850000-3 2.066541+5 6.918310-3 2.016847+5 7.079458-3 1.905761+5 7.161434-3 1.852490+5 7.244360-3 1.800808+5 7.300000-3 1.767310+5 7.328245-3 1.750636+5 7.413102-3 1.701913+5 7.498942-3 1.654520+5 7.500000-3 1.653948+5 7.585776-3 1.608000+5 7.673615-3 1.562869+5 7.800000-3 1.501167+5 7.852356-3 1.476512+5 7.943282-3 1.435084+5 8.000000-3 1.409886+5 8.035261-3 1.394541+5 8.128305-3 1.355185+5 8.222426-3 1.317014+5 8.317638-3 1.279947+5 8.413951-3 1.243480+5 8.511380-3 1.208120+5 8.609938-3 1.173833+5 8.709636-3 1.140391+5 8.912509-3 1.076140+5 9.000000-3 1.050060+5 9.015711-3 1.045467+5 9.120108-3 1.015666+5 9.225714-3 9.867634+4 9.332543-3 9.586724+4 9.440609-3 9.314340+4 9.500000-3 9.169747+4 9.549926-3 9.050594+4 9.660509-3 8.793883+4 9.800000-3 8.484902+4 9.900000-3 8.272925+4 1.000000-2 8.067080+4 1.011579-2 7.837971+4 1.020000-2 7.677069+4 1.023293-2 7.615271+4 1.035142-2 7.397086+4 1.040000-2 7.310225+4 1.059254-2 6.978459+4 1.071519-2 6.777409+4 1.083927-2 6.581651+4 1.096478-2 6.391649+4 1.122018-2 6.028050+4 1.135011-2 5.854535+4 1.148154-2 5.685454+4 1.150000-2 5.662277+4 1.161449-2 5.521534+4 1.188502-2 5.208365+4 1.216186-2 4.913332+4 1.230269-2 4.772539+4 1.244515-2 4.635263+4 1.258925-2 4.501983+4 1.270000-2 4.403309+4 1.273503-2 4.372528+4 1.288250-2 4.246045+4 1.303167-2 4.123437+4 1.318257-2 4.003919+4 1.333521-2 3.887617+4 1.355400-2 3.728809+4 1.364583-2 3.664688+4 1.380384-2 3.558006+4 1.396368-2 3.454548+4 1.400000-2 3.431644+4 1.412538-2 3.353909+4 1.428894-2 3.256262+4 1.445440-2 3.161466+4 1.479108-2 2.980214+4 1.513561-2 2.809674+4 1.531087-2 2.728302+4 1.548817-2 2.649114+4 1.566751-2 2.572027+4 1.584893-2 2.497256+4 1.603245-2 2.424301+4 1.621810-2 2.353498+4 1.640590-2 2.284608+4 1.650000-2 2.251157+4 1.678804-2 2.152872+4 1.698244-2 2.089755+4 1.717908-2 2.028589+4 1.737801-2 1.969126+4 1.757924-2 1.911358+4 1.778279-2 1.855368+4 1.798871-2 1.801101+4 1.800000-2 1.798190+4 1.819701-2 1.748272+4 1.840772-2 1.697025+4 1.862087-2 1.647299+4 1.883649-2 1.598989+4 1.899400-2 1.564928+4 1.899400-2 3.664668+4 1.905461-2 3.634424+4 1.927525-2 3.527239+4 1.949845-2 3.423282+4 1.950000-2 3.422575+4 1.972423-2 3.322125+4 2.000000-2 3.204179+4 2.018366-2 3.125964+4 2.041738-2 3.030220+4 2.065380-2 2.937439+4 2.089296-2 2.847543+4 2.100000-2 2.808951+4 2.113489-2 2.761339+4 2.150000-2 2.637924+4 2.162719-2 2.596680+4 2.187762-2 2.518021+4 2.190000-2 2.511154+4 2.213095-2 2.440477+4 2.238721-2 2.365245+4 2.264644-2 2.292298+4 2.290868-2 2.221563+4 2.317395-2 2.153040+4 2.344229-2 2.086491+4 2.371374-2 2.022038+4 2.377600-2 2.007641+4 2.377600-2 2.861418+4 2.398833-2 2.798184+4 2.410000-2 2.765727+4 2.426610-2 2.716960+4 2.454709-2 2.637104+4 2.455400-2 2.635179+4 2.455400-2 3.041459+4 2.468000-2 3.000961+4 2.483133-2 2.955363+4 2.485000-2 2.949806+4 2.490000-2 2.934745+4 2.511886-2 2.871144+4 2.528000-2 2.825574+4 2.540973-2 2.789164+4 2.550000-2 2.764222+4 2.570396-2 2.709833+4 2.600160-2 2.633185+4 2.610000-2 2.608729+4 2.630268-2 2.558580+4 2.660725-2 2.485769+4 2.670000-2 2.464124+4 2.691535-2 2.415498+4 2.700000-2 2.396760+4 2.722701-2 2.346862+4 2.754229-2 2.279990+4 2.786121-2 2.214482+4 2.818383-2 2.150901+4 2.820000-2 2.147779+4 2.851018-2 2.088565+4 2.884032-2 2.028036+4 2.951209-2 1.912343+4 2.985383-2 1.857057+4 3.000000-2 1.834077+4 3.054921-2 1.751251+4 3.090295-2 1.700500+4 3.126079-2 1.651259+4 3.150000-2 1.619464+4 3.162278-2 1.603466+4 3.198895-2 1.557185+4 3.235937-2 1.512225+4 3.273407-2 1.468592+4 3.311311-2 1.426248+4 3.349654-2 1.384960+4 3.388442-2 1.344572+4 3.400000-2 1.332855+4 3.427678-2 1.305345+4 3.467369-2 1.267280+4 3.548134-2 1.194541+4 3.589219-2 1.159634+4 3.630781-2 1.125546+4 3.672823-2 1.092452+4 3.715352-2 1.060341+4 3.801894-2 9.986884+3 3.845918-2 9.692576+3 3.890451-2 9.406919+3 3.935501-2 9.128635+3 3.981072-2 8.858426+3 4.027170-2 8.596421+3 4.073803-2 8.342353+3 4.120975-2 8.095937+3 4.168694-2 7.856981+3 4.216965-2 7.625228+3 4.265795-2 7.400130+3 4.315191-2 7.181845+3 4.466836-2 6.565771+3 4.518559-2 6.370312+3 4.570882-2 6.180824+3 4.623810-2 5.996748+3 4.677351-2 5.818259+3 4.731513-2 5.645223+3 4.841724-2 5.312667+3 4.897788-2 5.153975+3 4.954502-2 4.999900+3 5.011872-2 4.850533+3 5.069907-2 4.705708+3 5.308844-2 4.169297+3 5.370318-2 4.044795+3 5.432503-2 3.923970+3 5.495409-2 3.806828+3 5.559043-2 3.693231+3 5.688529-2 3.474359+3 5.754399-2 3.369939+3 5.821032-2 3.268584+3 5.956621-2 3.075140+3 6.000000-2 3.016641+3 6.025596-2 2.982852+3 6.095369-2 2.893394+3 6.165950-2 2.806118+3 6.237348-2 2.721458+3 6.309573-2 2.639406+3 6.382635-2 2.559805+3 6.606934-2 2.335382+3 6.683439-2 2.265108+3 6.760830-2 2.196986+3 6.839116-2 2.130943+3 6.918310-2 2.066850+3 6.998420-2 2.004314+3 7.161434-2 1.884981+3 7.244360-2 1.828061+3 7.328245-2 1.772897+3 7.498942-2 1.666894+3 7.500000-2 1.666265+3 7.585776-2 1.616290+3 7.673615-2 1.567251+3 8.035261-2 1.385786+3 8.128305-2 1.343854+3 8.222426-2 1.303207+3 8.317638-2 1.263775+3 8.511380-2 1.188515+3 8.609938-2 1.152614+3 8.709636-2 1.117819+3 8.810489-2 1.083819+3 8.912509-2 1.050813+3 9.015711-2 1.018809+3 9.225714-2 9.576865+2 9.332543-2 9.285385+2 9.440609-2 9.002933+2 9.885531-2 7.957852+2 1.000000-1 7.716378+2 1.011580-1 7.482313+2 1.023293-1 7.255297+2 1.035142-1 7.035283+2 1.071519-1 6.412013+2 1.096478-1 6.027960+2 1.122019-1 5.666889+2 1.174898-1 5.009056+2 1.188502-1 4.857088+2 1.202264-1 4.709797+2 1.216186-1 4.566984+2 1.230269-1 4.428571+2 1.249600-1 4.247912+2 1.258925-1 4.164010+2 1.273503-1 4.037387+2 1.288250-1 3.914659+2 1.288600-1 3.911809+2 1.288600-1 1.588250+3 1.303167-1 1.545311+3 1.318257-1 1.502546+3 1.332000-1 1.461575+3 1.333521-1 1.457731+3 1.348963-1 1.419514+3 1.350000-1 1.416999+3 1.364583-1 1.377869+3 1.380384-1 1.337143+3 1.390000-1 1.313167+3 1.396368-1 1.298508+3 1.412538-1 1.262308+3 1.445440-1 1.192932+3 1.450000-1 1.183745+3 1.479108-1 1.125247+3 1.513561-1 1.061099+3 1.548817-1 1.000622+3 1.566751-1 9.716946+2 1.584893-1 9.435864+2 1.603245-1 9.162946+2 1.621810-1 8.897942+2 1.640590-1 8.642608+2 1.659587-1 8.394743+2 1.717908-1 7.693154+2 1.737801-1 7.472619+2 1.757924-1 7.258436+2 1.840772-1 6.461988+2 1.850000-1 6.380965+2 1.862087-1 6.276462+2 1.905461-1 5.920544+2 1.927525-1 5.750256+2 1.949845-1 5.584896+2 1.972423-1 5.424312+2 2.000000-1 5.236803+2 2.018366-1 5.116921+2 2.041738-1 4.969842+2 2.065380-1 4.827118+2 2.089296-1 4.688504+2 2.137962-1 4.423139+2 2.187762-1 4.172836+2 2.213095-1 4.053065+2 2.238721-1 3.936828+2 2.264644-1 3.823933+2 2.290868-1 3.714284+2 2.371374-1 3.403898+2 2.398833-1 3.307147+2 2.400000-1 3.303121+2 2.426610-1 3.213204+2 2.454709-1 3.121939+2 2.483133-1 3.033274+2 2.511886-1 2.947138+2 2.570396-1 2.782162+2 2.600160-1 2.703179+2 2.660725-1 2.552014+2 2.691535-1 2.479639+2 2.722701-1 2.409326+2 2.754229-1 2.341024+2 2.786121-1 2.274665+2 2.800000-1 2.246613+2 2.818383-1 2.210219+2 2.851018-1 2.147621+2 2.884032-1 2.086797+2 2.917427-1 2.027703+2 2.951209-1 1.971207+2 3.000060-1 1.893388+2 3.019952-1 1.862993+2 3.054921-1 1.811207+2 3.090295-1 1.760863+2 3.126079-1 1.711922+2 3.162278-1 1.664343+2 3.198895-1 1.618096+2 3.235937-1 1.573161+2 3.273407-1 1.529488+2 3.311311-1 1.487029+2 3.349654-1 1.445765+2 3.388442-1 1.405648+2 3.467369-1 1.328805+2 3.507519-1 1.292512+2 3.548134-1 1.257212+2 3.589219-1 1.222879+2 3.630781-1 1.189484+2 3.672823-1 1.157024+2 3.715352-1 1.125500+2 3.758374-1 1.094842+2 3.801894-1 1.065021+2 3.845918-1 1.036018+2 3.890451-1 1.007809+2 3.935501-1 9.803952+1 3.981072-1 9.537293+1 4.027170-1 9.278001+1 4.073803-1 9.029799+1 4.120975-1 8.788254+1 4.168694-1 8.553325+1 4.216965-1 8.324689+1 4.265795-1 8.102212+1 4.315191-1 7.885688+1 4.365158-1 7.674964+1 4.415705-1 7.470264+1 4.466836-1 7.271253+1 4.518559-1 7.077575+1 4.570882-1 6.889060+1 4.623810-1 6.709202+1 4.677351-1 6.534198+1 4.731513-1 6.363842+1 4.786301-1 6.197969+1 4.841724-1 6.036425+1 4.897788-1 5.879101+1 4.954502-1 5.725884+1 5.011872-1 5.576675+1 5.069907-1 5.431534+1 5.128614-1 5.290502+1 5.188000-1 5.153220+1 5.248075-1 5.019501+1 5.308844-1 4.891764+1 5.370318-1 4.767300+1 5.432503-1 4.646070+1 5.495409-1 4.527925+1 5.559043-1 4.412796+1 5.623413-1 4.300608+1 5.688529-1 4.191397+1 5.754399-1 4.085033+1 5.821032-1 3.981372+1 5.888437-1 3.880344+1 5.956621-1 3.782096+1 6.025596-1 3.686382+1 6.095369-1 3.594950+1 6.237348-1 3.418847+1 6.309573-1 3.334109+1 6.382635-1 3.251625+1 6.456542-1 3.171193+1 6.531306-1 3.092753+1 6.606935-1 3.016257+1 6.683439-1 2.941667+1 6.760830-1 2.868943+1 6.839117-1 2.798019+1 6.918310-1 2.729013+1 6.998420-1 2.663028+1 7.079458-1 2.598689+1 7.161434-1 2.535961+1 7.244360-1 2.474756+1 7.328245-1 2.415064+1 7.413102-1 2.356823+1 7.498942-1 2.299988+1 7.585776-1 2.244540+1 7.673615-1 2.190431+1 7.762471-1 2.137627+1 7.852356-1 2.086128+1 7.943282-1 2.036888+1 8.000000-1 2.007155+1 8.035261-1 1.988994+1 8.128305-1 1.942227+1 8.222427-1 1.896564+1 8.413951-1 1.808451+1 8.511380-1 1.765943+1 8.609938-1 1.724461+1 8.709636-1 1.683996+1 8.810489-1 1.644539+1 8.912509-1 1.606007+1 9.015711-1 1.569191+1 9.120108-1 1.533221+1 9.225714-1 1.498178+1 9.332543-1 1.463946+1 9.440609-1 1.430512+1 9.549926-1 1.397928+1 9.660509-1 1.366087+1 9.772372-1 1.334993+1 9.885531-1 1.304625+1 1.000000+0 1.274949+1 1.011579+0 1.245980+1 1.023293+0 1.218142+1 1.035142+0 1.190966+1 1.047129+0 1.164451+1 1.059254+0 1.138530+1 1.071519+0 1.113187+1 1.083927+0 1.088428+1 1.096478+0 1.064221+1 1.109175+0 1.040552+1 1.122018+0 1.017416+1 1.135011+0 9.947949+0 1.148154+0 9.726785+0 1.161449+0 9.510776+0 1.174898+0 9.299827+0 1.188502+0 9.093713+0 1.202264+0 8.892169+0 1.216186+0 8.695122+0 1.230269+0 8.506819+0 1.244515+0 8.323151+0 1.250000+0 8.254051+0 1.258925+0 8.143557+0 1.273503+0 7.967875+0 1.288250+0 7.796039+0 1.303167+0 7.628146+0 1.318257+0 7.463898+0 1.333521+0 7.303332+0 1.348963+0 7.146215+0 1.364583+0 6.992488+0 1.380384+0 6.842066+0 1.396368+0 6.698558+0 1.412538+0 6.558483+0 1.428894+0 6.421348+0 1.462177+0 6.155688+0 1.479108+0 6.027142+0 1.500000+0 5.874195+0 1.513561+0 5.778178+0 1.531087+0 5.657644+0 1.566751+0 5.424061+0 1.621810+0 5.101445+0 1.659587+0 4.897103+0 1.678804+0 4.798062+0 1.698244+0 4.701163+0 1.717908+0 4.606301+0 1.737801+0 4.513357+0 1.757924+0 4.422290+0 1.778279+0 4.333123+0 1.798871+0 4.248436+0 1.819701+0 4.165406+0 1.840772+0 4.084000+0 1.883649+0 3.925934+0 1.905461+0 3.849243+0 1.927525+0 3.774175+0 1.949845+0 3.700629+0 1.972423+0 3.628527+0 2.000000+0 3.543503+0 2.018366+0 3.490057+0 2.044000+0 3.417840+0 2.065380+0 3.359423+0 2.137962+0 3.172587+0 2.162719+0 3.112668+0 2.187762+0 3.053952+0 2.213095+0 2.996355+0 2.238721+0 2.939884+0 2.264644+0 2.884483+0 2.290868+0 2.830160+0 2.317395+0 2.776860+0 2.344229+0 2.725828+0 2.371374+0 2.675894+0 2.398833+0 2.626876+0 2.483133+0 2.485144+0 2.511886+0 2.439640+0 2.540973+0 2.395023+0 2.570396+0 2.351233+0 2.600160+0 2.308274+0 2.630268+0 2.266106+0 2.660725+0 2.224736+0 2.691535+0 2.184120+0 2.722701+0 2.145253+0 2.754229+0 2.107202+0 2.786121+0 2.069827+0 2.884032+0 1.961633+0 2.917427+0 1.926855+0 2.951209+0 1.892740+0 2.985383+0 1.859235+0 3.019952+0 1.826351+0 3.054921+0 1.794076+0 3.090295+0 1.762371+0 3.126079+0 1.732066+0 3.162278+0 1.702382+0 3.198895+0 1.673207+0 3.311311+0 1.588651+0 3.388442+0 1.534689+0 3.427678+0 1.508433+0 3.467369+0 1.482632+0 3.507519+0 1.457291+0 3.548134+0 1.432403+0 3.589219+0 1.407940+0 3.630781+0 1.384521+0 3.672823+0 1.361571+0 3.715352+0 1.339000+0 3.845918+0 1.273510+0 3.935501+0 1.231657+0 4.000000+0 1.202975+0 4.027170+0 1.191232+0 4.073803+0 1.171536+0 4.168694+0 1.133148+0 4.216965+0 1.114428+0 4.265795+0 1.096496+0 4.315191+0 1.078913+0 4.365158+0 1.061612+0 4.518559+0 1.011356+0 4.623810+0 9.791939-1 4.677351+0 9.635189-1 4.731513+0 9.480978-1 4.786301+0 9.329353-1 4.897788+0 9.033574-1 4.954502+0 8.889220-1 5.011872+0 8.750965-1 5.069907+0 8.615325-1 5.128614+0 8.481788-1 5.308844+0 8.093479-1 5.432503+0 7.844634-1 5.495409+0 7.723246-1 5.559043+0 7.603761-1 5.623413+0 7.486213-1 5.821032+0 7.144614-1 5.888437+0 7.034246-1 5.956621+0 6.928274-1 6.025596+0 6.824235-1 6.095369+0 6.721759-1 6.309573+0 6.423480-1 6.456542+0 6.232092-1 6.531306+0 6.138663-1 6.683439+0 5.956025-1 6.760830+0 5.866881-1 6.998420+0 5.607396-1 7.000000+0 5.605738-1 7.079458+0 5.525516-1 7.161434+0 5.444872-1 7.244360+0 5.365665-1 7.328245+0 5.287611-1 7.585776+0 5.060199-1 7.762471+0 4.914111-1 7.852356+0 4.842748-1 8.035261+0 4.703144-1 8.128305+0 4.634957-1 8.413951+0 4.436283-1 8.511380+0 4.373507-1 8.609938+0 4.311619-1 8.709636+0 4.250791-1 8.810489+0 4.190820-1 9.225714+0 3.959287-1 9.549926+0 3.794129-1 9.660509+0 3.740684-1 9.885531+0 3.636061-1 1.000000+1 3.584921-1 1.035142+1 3.435785-1 1.047129+1 3.388643-1 1.059254+1 3.342151-1 1.071519+1 3.296443-1 1.083927+1 3.251356-1 1.122018+1 3.119772-1 1.135011+1 3.077115-1 1.161449+1 2.993552-1 1.174898+1 2.952670-1 1.202264+1 2.872592-1 1.216186+1 2.833418-1 1.288250+1 2.645431-1 1.303167+1 2.610199-1 1.318257+1 2.575435-1 1.333521+1 2.541233-1 1.348963+1 2.507482-1 1.380384+1 2.441324-1 1.396368+1 2.408910-1 1.412538+1 2.376925-1 1.428894+1 2.345369-1 1.462177+1 2.283565-1 1.513561+1 2.193914-1 1.548817+1 2.136179-1 1.659587+1 1.971943-1 1.678804+1 1.946445-1 1.698244+1 1.921349-1 1.717908+1 1.896579-1 1.737801+1 1.872127-1 1.757924+1 1.847997-1 1.778279+1 1.824180-1 1.819701+1 1.777507-1 1.883649+1 1.709737-1 1.949845+1 1.644610-1 1.972423+1 1.623459-1 2.264644+1 1.389887-1 2.290868+1 1.372455-1 2.317395+1 1.355265-1 2.344229+1 1.338292-1 2.371374+1 1.321548-1 2.985383+1 1.027377-1 3.000000+1 1.022005-1 4.315191+1 6.920453-2 6.456542+1 4.534005-2 6.531306+1 4.480468-2 1.059254+2 2.720699-2 1.071519+2 2.688645-2 1.083927+2 2.657309-2 1.096478+2 2.626342-2 2.000000+2 1.424214-2 2.018366+2 1.411020-2 2.041738+2 1.394585-2 2.065380+2 1.378360-2 2.089296+2 1.362429-2 2.113489+2 1.346683-2 3.981072+2 7.105478-3 4.027170+2 7.023358-3 4.073803+2 6.942216-3 4.120975+2 6.862077-3 4.168694+2 6.783233-3 4.216965+2 6.705298-3 1.584893+3 1.775287-3 1.603245+3 1.754890-3 1.621810+3 1.734731-3 1.640590+3 1.714813-3 1.659587+3 1.695176-3 1.678804+3 1.675765-3 1.000000+5 2.809037-5 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 3.930000-6 3.930000-6 4.650000-6 3.930000-6 4.650000-6 4.142448-6 6.180000-6 4.180627-6 6.180000-6 5.211669-6 6.918310-6 5.041934-6 7.762471-6 4.883448-6 8.317638-6 4.799768-6 8.912509-6 4.725743-6 9.549926-6 4.660951-6 1.023293-5 4.606201-6 1.150000-5 4.532556-6 1.195000-5 4.512936-6 1.195000-5 5.210736-6 1.288250-5 5.184302-6 1.348000-5 5.184020-6 1.348000-5 5.686965-6 1.445440-5 5.730615-6 1.531087-5 5.804096-6 1.621810-5 5.922077-6 1.678804-5 6.017856-6 1.770000-5 6.207815-6 1.862087-5 6.446388-6 1.950000-5 6.715242-6 2.055000-5 7.084746-6 2.190000-5 7.618905-6 2.500000-5 8.937821-6 2.660725-5 9.571272-6 2.700000-5 9.715366-6 2.700000-5 2.245864-5 3.126079-5 2.018826-5 3.427678-5 1.863349-5 3.630781-5 1.770001-5 3.758374-5 1.717296-5 3.964000-5 1.643034-5 3.964000-5 2.358180-5 4.315191-5 2.176567-5 4.570882-5 2.057266-5 4.841724-5 1.945889-5 5.080000-5 1.859964-5 5.370318-5 1.770422-5 5.650000-5 1.698098-5 5.900000-5 1.644571-5 6.069000-5 1.613240-5 6.069000-5 1.702394-5 6.400000-5 1.638699-5 6.683439-5 1.595206-5 7.000000-5 1.557056-5 7.328245-5 1.527248-5 7.800000-5 1.496569-5 8.317638-5 1.474544-5 9.015711-5 1.457685-5 9.800000-5 1.450638-5 1.071519-4 1.454914-5 1.161449-4 1.470851-5 1.240000-4 1.493892-5 1.252300-4 1.498545-5 1.252300-4 3.271843-5 1.261000-4 3.484859-5 1.277300-4 3.942252-5 1.305000-4 4.801700-5 1.318257-4 5.183215-5 1.325000-4 5.362198-5 1.331000-4 5.510028-5 1.337000-4 5.646605-5 1.343000-4 5.771700-5 1.350000-4 5.903319-5 1.358000-4 6.039414-5 1.364600-4 6.136270-5 1.364600-4 6.859109-5 1.415000-4 7.796461-5 1.437000-4 8.163561-5 1.455000-4 8.418251-5 1.470000-4 8.593168-5 1.488000-4 8.761746-5 1.515000-4 8.950177-5 1.548817-4 9.121968-5 1.621810-4 9.403066-5 1.740000-4 9.777926-5 1.850000-4 1.006899-4 1.972423-4 1.032302-4 2.065380-4 1.044649-4 2.150000-4 1.048356-4 2.220000-4 1.044799-4 2.295000-4 1.034053-4 2.380000-4 1.013319-4 2.396500-4 1.008316-4 2.396500-4 1.151223-4 2.500000-4 1.132553-4 2.650000-4 1.095938-4 2.930000-4 1.019432-4 3.100000-4 9.804036-5 3.148000-4 9.706453-5 3.148000-4 1.126887-4 3.350000-4 1.074547-4 3.540000-4 1.030848-4 3.715352-4 1.000355-4 3.843000-4 9.817999-5 3.843000-4 1.050269-4 4.073803-4 1.024830-4 4.315191-4 1.005482-4 4.600000-4 9.903957-5 4.874700-4 9.818476-5 4.874700-4 1.072368-4 4.914000-4 1.068288-4 5.022500-4 1.068361-4 5.022500-4 1.123276-4 5.100000-4 1.133112-4 5.155000-4 1.147467-4 5.200000-4 1.167282-4 5.238000-4 1.191815-4 5.265000-4 1.214141-4 5.300000-4 1.249098-4 5.335000-4 1.289771-4 5.407000-4 1.385062-4 5.480000-4 1.482680-4 5.540000-4 1.554796-4 5.600000-4 1.616474-4 5.650000-4 1.659452-4 5.720000-4 1.707869-4 5.800000-4 1.749442-4 5.890000-4 1.782864-4 6.000000-4 1.810260-4 6.165950-4 1.834785-4 6.382635-4 1.851576-4 6.780000-4 1.863648-4 7.673615-4 1.868682-4 8.654400-4 1.866804-4 8.654400-4 2.003095-4 9.196400-4 2.022674-4 9.196400-4 2.090483-4 9.700000-4 2.120609-4 1.059254-3 2.152969-4 1.194400-3 2.193824-4 1.194400-3 2.317886-4 1.493200-3 2.415319-4 1.493200-3 2.446012-4 1.664100-3 2.500093-4 1.664100-3 2.549317-4 2.041738-3 2.662936-4 2.454709-3 2.764474-4 2.917427-3 2.858809-4 3.507519-3 2.956978-4 4.015600-3 3.026811-4 4.015600-3 4.357380-4 4.237200-3 4.358573-4 4.237200-3 4.638708-4 4.829000-3 4.638742-4 4.829000-3 4.973392-4 5.945600-3 5.030683-4 5.945600-3 5.208886-4 6.313100-3 5.240759-4 6.313100-3 5.395218-4 8.317638-3 5.586262-4 1.071519-2 5.767666-4 1.364583-2 5.939748-4 1.737801-2 6.107826-4 1.899400-2 6.167417-4 1.899400-2 7.329731-4 2.377600-2 7.376998-4 2.377600-2 7.759039-4 2.455400-2 7.767865-4 2.455400-2 8.309553-4 3.467369-2 8.522066-4 4.841724-2 8.722301-4 6.683439-2 8.907288-4 9.225714-2 9.081925-4 1.288250-1 9.246534-4 1.288600-1 9.246657-4 1.288600-1 8.494795-4 3.090295-1 8.547495-4 8.609938-1 8.575948-4 1.000000+5 8.577179-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 3.930000-6 0.0 2.396500-4 0.0 2.396500-4 1.901242-9 2.465000-4 1.941381-9 2.520000-4 1.961362-9 2.580000-4 1.971494-9 2.635000-4 1.970850-9 2.710000-4 1.950828-9 2.818383-4 1.905200-9 3.030000-4 1.792778-9 3.148000-4 1.725337-9 3.148000-4 4.569105-9 3.198895-4 4.438809-9 3.273407-4 4.273118-9 3.350000-4 4.080395-9 3.470500-4 3.774397-9 3.550000-4 3.587430-9 3.672823-4 3.349515-9 3.801894-4 3.124510-9 3.843000-4 3.057904-9 3.843000-4 3.512746-9 3.970000-4 3.341658-9 4.100000-4 3.186554-9 4.216965-4 3.065313-9 4.365158-4 2.928027-9 4.550000-4 2.786495-9 4.731513-4 2.673029-9 4.874700-4 2.599963-9 4.874700-4 1.318307-8 4.886000-4 1.299721-8 4.897788-4 1.286751-8 4.914000-4 1.277535-8 4.932000-4 1.274810-8 4.970000-4 1.279616-8 5.012500-4 1.291970-8 5.022500-4 1.296937-8 5.022500-4 1.445890-8 5.055000-4 1.472518-8 5.075000-4 1.497775-8 5.087000-4 1.516044-8 5.100000-4 1.541029-8 5.115000-4 1.576181-8 5.128614-4 1.614517-8 5.143000-4 1.662526-8 5.155000-4 1.708884-8 5.170000-4 1.775490-8 5.185000-4 1.852681-8 5.200000-4 1.940971-8 5.215000-4 2.040972-8 5.230000-4 2.153158-8 5.253000-4 2.349024-8 5.265000-4 2.464272-8 5.280000-4 2.615538-8 5.300000-4 2.837356-8 5.320000-4 3.073629-8 5.335000-4 3.259768-8 5.370318-4 3.717976-8 5.407000-4 4.203566-8 5.432503-4 4.530948-8 5.457000-4 4.831216-8 5.480000-4 5.096822-8 5.510000-4 5.414474-8 5.540000-4 5.700092-8 5.560000-4 5.873459-8 5.580000-4 6.035230-8 5.610000-4 6.250397-8 5.650000-4 6.492646-8 5.688529-4 6.687356-8 5.740000-4 6.890369-8 5.790000-4 7.039123-8 5.850000-4 7.162282-8 5.900000-4 7.229951-8 6.000000-4 7.318599-8 6.165950-4 7.392854-8 6.350000-4 7.424759-8 6.930000-4 7.438389-8 8.222426-4 7.376921-8 8.654400-4 7.348542-8 8.654400-4 7.588319-8 9.196400-4 7.593148-8 9.196400-4 9.261495-8 9.530000-4 9.561582-8 9.772372-4 9.733439-8 1.000000-3 9.858425-8 1.023293-3 9.953151-8 1.194400-3 1.048881-7 1.194400-3 1.389406-7 1.380384-3 1.482719-7 1.493200-3 1.535970-7 1.493200-3 1.598889-7 1.664100-3 1.686514-7 1.664100-3 1.837355-7 1.950000-3 1.997785-7 2.187762-3 2.120366-7 2.570396-3 2.296022-7 2.851018-3 2.414714-7 3.235937-3 2.559445-7 3.650000-3 2.701485-7 4.015600-3 2.814957-7 4.015600-3 3.237931-7 4.237200-3 3.262405-7 4.237200-3 6.512999-5 4.285000-3 6.493048-5 4.350000-3 6.520151-5 4.570882-3 6.486812-5 4.829000-3 6.468484-5 4.829000-3 6.599840-5 5.432503-3 6.581065-5 5.945600-3 6.541752-5 5.945600-3 7.306050-5 6.313100-3 7.359143-5 6.313100-3 7.505863-5 8.035261-3 7.734404-5 9.660509-3 7.902997-5 1.122018-2 8.042424-5 1.380384-2 8.235460-5 1.737801-2 8.438267-5 1.899400-2 8.514243-5 1.899400-2 4.448217-3 2.041738-2 4.439005-3 2.377600-2 4.388615-3 2.377600-2 6.695770-3 2.455400-2 6.716044-3 2.455400-2 7.034295-3 2.985383-2 7.119004-3 3.672823-2 7.191423-3 4.954502-2 7.256779-3 7.328245-2 7.309081-3 1.288600-1 7.339784-3 1.288600-1 8.966694-2 1.513561-1 9.038427-2 2.089296-1 9.136480-2 3.349654-1 9.236842-2 5.956621-1 9.338917-2 1.000000+0 9.410910-2 1.000000+5 9.410712-2 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 3.930000-6 0.0 4.650000-6 7.200000-7 4.650000-6 5.075523-7 4.900000-6 7.484246-7 5.700000-6 1.528019-6 6.180000-6 1.999373-6 6.180000-6 9.683307-7 6.456542-6 1.310641-6 6.918310-6 1.876376-6 7.244360-6 2.268030-6 7.762471-6 2.879023-6 8.317638-6 3.517870-6 8.912509-6 4.186766-6 9.549926-6 4.888975-6 1.083927-5 6.272210-6 1.195000-5 7.437064-6 1.195000-5 6.739264-6 1.318257-5 8.000824-6 1.348000-5 8.295980-6 1.348000-5 7.793035-6 1.445440-5 8.723785-6 1.570000-5 9.851105-6 1.678804-5 1.077018-5 1.778279-5 1.155512-5 1.883649-5 1.232819-5 2.018366-5 1.323287-5 2.190000-5 1.428109-5 2.580000-5 1.653792-5 2.700000-5 1.728463-5 2.700000-5 4.541355-6 2.851018-5 6.834708-6 3.162278-5 1.162845-5 3.388442-5 1.505824-5 3.589219-5 1.801147-5 3.758374-5 2.041078-5 3.964000-5 2.320966-5 3.964000-5 1.605820-5 4.315191-5 2.138624-5 4.623810-5 2.589505-5 4.900000-5 2.976269-5 5.248075-5 3.441550-5 5.650000-5 3.951902-5 6.069000-5 4.455760-5 6.069000-5 4.366606-5 6.606934-5 5.000987-5 7.244360-5 5.710353-5 8.222426-5 6.744463-5 9.900000-5 8.449447-5 1.220000-4 1.071276-4 1.252300-4 1.102445-4 1.252300-4 9.251157-5 1.261000-4 9.125141-5 1.280000-4 8.774910-5 1.305000-4 8.248300-5 1.318257-4 7.999355-5 1.331000-4 7.799972-5 1.343000-4 7.658300-5 1.358000-4 7.540586-5 1.364600-4 7.509730-5 1.364600-4 6.786891-5 1.415000-4 6.353539-5 1.437000-4 6.206439-5 1.448000-4 6.153714-5 1.465000-4 6.113968-5 1.479108-4 6.107390-5 1.498000-4 6.141357-5 1.515000-4 6.199823-5 1.548817-4 6.366202-5 1.604600-4 6.706576-5 1.678804-4 7.196858-5 1.770000-4 7.835976-5 1.880000-4 8.660360-5 1.980000-4 9.464229-5 2.065380-4 1.020731-4 2.150000-4 1.101644-4 2.230000-4 1.186168-4 2.307000-4 1.275358-4 2.396500-4 1.388184-4 2.396500-4 1.245258-4 2.520000-4 1.391778-4 2.691535-4 1.607021-4 2.985383-4 1.979305-4 3.148000-4 2.177337-4 3.148000-4 2.021067-4 3.470500-4 2.424600-4 3.715352-4 2.714964-4 3.843000-4 2.861170-4 3.843000-4 2.792696-4 4.265795-4 3.256759-4 4.841724-4 3.859167-4 4.874700-4 3.892826-4 4.874700-4 3.802201-4 5.022500-4 3.954010-4 5.022500-4 3.899080-4 5.150000-4 4.004014-4 5.230000-4 4.043839-4 5.300000-4 4.050618-4 5.407000-4 4.021518-4 5.520000-4 3.987517-4 5.610000-4 3.983649-4 5.697000-4 4.002878-4 5.821032-4 4.061940-4 5.965000-4 4.161448-4 6.220000-4 4.379020-4 6.720500-4 4.857126-4 8.654400-4 6.786861-4 8.654400-4 6.650546-4 9.196400-4 7.172966-4 9.196400-4 7.104990-4 1.047129-3 8.321108-4 1.194400-3 9.749127-4 1.194400-3 9.624724-4 1.493200-3 1.251514-3 1.493200-3 1.248439-3 1.664100-3 1.413922-3 1.664100-3 1.408985-3 2.754229-3 2.471183-3 4.015600-3 3.712637-3 4.015600-3 3.579538-3 4.237200-3 3.801016-3 4.237200-3 3.708199-3 4.829000-3 4.300441-3 4.829000-3 4.265662-3 5.945600-3 5.377114-3 5.945600-3 5.351651-3 6.313100-3 5.715433-3 6.313100-3 5.698520-3 1.678804-2 1.609549-2 1.899400-2 1.829212-2 1.899400-2 1.381281-2 2.377600-2 1.864969-2 2.377600-2 1.630433-2 2.455400-2 1.706117-2 2.455400-2 1.668875-2 3.801894-2 2.996101-2 9.885531-2 9.061484-2 1.288600-1 1.205956-1 1.288600-1 3.834358-2 1.318257-1 4.116162-2 1.333521-1 4.267304-2 1.350000-1 4.419966-2 1.412538-1 5.030540-2 1.548817-1 6.357588-2 2.137962-1 1.215237-1 4.518559-1 3.580987-1 2.187762+0 2.092789+0 1.000000+5 9.999990+4 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.288600-1 1.197069+3 1.318257-1 1.134502+3 1.332000-1 1.103614+3 1.350000-1 1.071674+3 1.390000-1 9.937940+2 1.450000-1 8.984940+2 1.621810-1 6.782211+2 1.850000-1 4.889540+2 2.371374-1 2.627163+2 2.917427-1 1.573190+2 3.467369-1 1.035033+2 4.027170-1 7.249807+1 4.570882-1 5.397244+1 5.248075-1 3.944204+1 6.025596-1 2.904498+1 6.918310-1 2.155599+1 7.852356-1 1.651384+1 8.912509-1 1.273929+1 1.011579+0 9.898327+0 1.216186+0 6.910284+0 1.380384+0 5.436165+0 1.566751+0 4.308449+0 1.778279+0 3.441821+0 2.000000+0 2.814655+0 2.317395+0 2.205696+0 2.691535+0 1.734826+0 3.090295+0 1.399804+0 3.589219+0 1.118302+0 4.216965+0 8.851611-1 4.954502+0 7.060488-1 5.888437+0 5.587115-1 7.000000+0 4.452400-1 8.413951+0 3.523576-1 1.035142+1 2.728929-1 1.288250+1 2.101142-1 1.659587+1 1.566267-1 2.264644+1 1.104022-1 2.985383+1 8.161111-2 4.315191+1 5.497350-2 6.456542+1 3.601642-2 1.071519+2 2.135727-2 2.065380+2 1.094912-2 4.120975+2 5.450935-3 1.640590+3 1.362177-3 1.000000+5 2.231400-5 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.288600-1 8.249100-4 1.000000+5 8.249100-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.288600-1 1.165700-1 1.000000+5 1.165700-1 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.288600-1 1.146509-2 1.000000+5 9.999988+4 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.455400-2 4.062807+3 2.468000-2 4.005492+3 2.490000-2 3.937609+3 2.528000-2 3.842480+3 2.550000-2 3.781140+3 2.610000-2 3.644380+3 2.670000-2 3.492660+3 2.820000-2 3.191140+3 3.162278-2 2.591889+3 3.311311-2 2.389045+3 3.548134-2 2.103061+3 3.890451-2 1.762940+3 4.731513-2 1.197404+3 5.308844-2 9.447491+2 6.095369-2 7.076665+2 7.328245-2 4.751572+2 8.709636-2 3.236137+2 1.035142-1 2.184712+2 1.249600-1 1.411584+2 1.566751-1 8.279059+1 3.000060-1 1.762691+1 3.672823-1 1.099294+1 4.365158-1 7.397878+0 5.069907-1 5.283504+0 5.888437-1 3.804312+0 6.839117-1 2.759657+0 7.943282-1 2.017514+0 9.120108-1 1.521223+0 1.035142+0 1.183126+0 1.230269+0 8.453024-1 1.396368+0 6.654605-1 1.566751+0 5.388551-1 1.778279+0 4.304993-1 2.018366+0 3.466777-1 2.344229+0 2.707373-1 2.722701+0 2.130927-1 3.126079+0 1.720640-1 3.630781+0 1.375372-1 4.265795+0 1.089238-1 5.011872+0 8.693093-2 5.956621+0 6.882767-2 7.161434+0 5.408167-2 8.609938+0 4.282660-2 1.059254+1 3.319656-2 1.318257+1 2.558314-2 1.678804+1 1.933678-2 2.264644+1 1.381065-2 2.985383+1 1.020842-2 4.315191+1 6.876760-3 6.456542+1 4.505369-3 1.059254+2 2.703392-3 2.041738+2 1.385684-3 4.073803+2 6.898158-4 1.621810+3 1.723722-4 1.000000+5 2.791300-6 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.455400-2 1.182300-3 1.000000+5 1.182300-3 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.455400-2 9.098500-3 1.000000+5 9.098500-3 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.455400-2 1.427320-2 1.000000+5 9.999999+4 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.377600-2 8.537774+3 2.410000-2 8.307600+3 2.485000-2 7.746400+3 2.600160-2 6.934200+3 2.700000-2 6.342500+3 3.349654-2 3.703400+3 3.715352-2 2.836200+3 4.466836-2 1.749800+3 5.559043-2 9.723500+2 6.918310-2 5.343200+2 8.709636-2 2.820200+2 1.757924-1 3.938100+1 2.213095-1 2.077100+1 2.600160-1 1.335000+1 2.917427-1 9.780887+0 3.388442-1 6.561036+0 3.890451-1 4.569249+0 4.415705-1 3.301176+0 5.011872-1 2.401939+0 5.623413-1 1.811427+0 6.309573-1 1.375521+0 7.079458-1 1.052177+0 7.943282-1 8.091816-1 8.709636-1 6.603814-1 9.440609-1 5.563040-1 1.023293+0 4.718047-1 1.161449+0 3.673214-1 1.288250+0 3.012555-1 1.462177+0 2.384402-1 1.678804+0 1.860235-1 1.905461+0 1.492394-1 2.162719+0 1.206792-1 2.511886+0 9.460074-2 2.917427+0 7.474371-2 3.388442+0 5.953542-2 3.935501+0 4.777656-2 4.623810+0 3.798476-2 5.432503+0 3.042946-2 6.456542+0 2.417582-2 7.762471+0 1.906250-2 9.549926+0 1.471861-2 1.161449+1 1.161254-2 1.428894+1 9.098886-3 1.778279+1 7.077313-3 2.290868+1 5.328203-3 2.985383+1 3.988775-3 4.315191+1 2.686898-3 6.456542+1 1.760325-3 1.059254+2 1.056261-3 2.018366+2 5.477707-4 4.027170+2 2.726653-4 1.603245+3 6.813282-5 1.000000+5 1.090600-6 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.377600-2 8.657400-4 1.000000+5 8.657400-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.377600-2 1.212100-2 1.000000+5 1.212100-2 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.377600-2 1.078926-2 1.000000+5 9.999999+4 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.899400-2 2.099740+4 2.000000-2 1.834716+4 2.089296-2 1.625149+4 2.190000-2 1.429580+4 2.754229-2 7.499951+3 3.054921-2 5.561905+3 3.589219-2 3.475557+3 4.466836-2 1.813239+3 5.559043-2 9.348911+2 6.918310-2 4.773318+2 8.810489-2 2.252010+2 1.640590-1 3.215910+1 2.041738-1 1.631468+1 2.400000-1 9.943737+0 2.800000-1 6.247750+0 3.198895-1 4.210457+0 3.630781-1 2.912813+0 4.120975-1 2.030245+0 4.623810-1 1.472907+0 5.128614-1 1.110617+0 5.688529-1 8.430543-1 6.309573-1 6.442542-1 6.998420-1 4.958377-1 7.762471-1 3.843610-1 8.609938-1 3.001211-1 9.440609-1 2.418548-1 1.000000+0 2.127095-1 1.071519+0 1.839401-1 1.148154+0 1.601941-1 1.250000+0 1.362041-1 1.380384+0 1.135594-1 1.757924+0 7.384737-2 1.972423+0 6.054281-2 2.264644+0 4.811768-2 2.630268+0 3.780329-2 3.019952+0 3.046947-2 3.507519+0 2.431349-2 4.073803+0 1.954287-2 4.786301+0 1.556328-2 5.623413+0 1.248721-2 6.683439+0 9.935330-3 8.035261+0 7.845156-3 9.885531+0 6.065648-3 1.202264+1 4.791644-3 1.513561+1 3.659063-3 1.883649+1 2.851481-3 2.344229+1 2.233597-3 3.000000+1 1.706000-3 4.315191+1 1.155194-3 6.456542+1 7.568402-4 1.071519+2 4.487923-4 2.041738+2 2.327758-4 4.073803+2 1.158775-4 1.621810+3 2.895654-5 1.000000+5 4.688900-7 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.899400-2 8.196000-4 1.000000+5 8.196000-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.899400-2 7.700000-3 1.000000+5 7.700000-3 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.899400-2 1.047440-2 1.000000+5 9.999999+4 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 6.313100-3 1.011730+4 6.500000-3 9.740040+3 6.650000-3 9.479740+3 6.850000-3 9.115980+3 7.079458-3 8.759090+3 7.673615-3 7.828121+3 8.317638-3 7.030683+3 9.000000-3 6.257140+3 9.440609-3 5.810496+3 1.020000-2 5.185940+3 1.096478-2 4.624153+3 1.333521-2 3.357270+3 1.479108-2 2.808315+3 1.717908-2 2.157843+3 2.000000-2 1.633022+3 2.238721-2 1.321845+3 2.660725-2 9.473426+2 3.198895-2 6.566219+2 3.845918-2 4.502654+2 4.570882-2 3.132173+2 5.370318-2 2.215056+2 6.309573-2 1.555407+2 7.500000-2 1.056854+2 9.015711-2 6.948006+1 1.096478-1 4.413614+1 1.380384-1 2.566048+1 2.722701-1 5.079262+0 3.311311-1 3.204683+0 3.981072-1 2.091743+0 4.677351-1 1.449798+0 5.370318-1 1.065802+0 6.237348-1 7.693371-1 7.244360-1 5.595105-1 8.511380-1 4.004064-1 9.660509-1 3.100423-1 1.174898+0 2.112515-1 1.318257+0 1.694817-1 1.500000+0 1.333500-1 1.698244+0 1.067217-1 1.927525+0 8.569106-2 2.213095+0 6.802152-2 2.570396+0 5.337527-2 2.985383+0 4.221434-2 3.467369+0 3.366584-2 4.027170+0 2.704580-2 4.731513+0 2.152579-2 5.559043+0 1.726269-2 6.683439+0 1.352354-2 8.035261+0 1.067860-2 9.885531+0 8.256454-3 1.202264+1 6.522260-3 1.513561+1 4.980612-3 1.883649+1 3.881364-3 2.344229+1 3.040332-3 3.000000+1 2.322100-3 4.315191+1 1.572398-3 6.456542+1 1.030206-3 1.059254+2 6.181450-4 2.018366+2 3.205656-4 4.027170+2 1.595687-4 1.603245+3 3.987264-5 1.000000+5 6.382400-7 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 6.313100-3 9.090500-4 1.000000+5 9.090500-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.313100-3 1.101600-4 1.000000+5 1.101600-4 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.313100-3 5.293890-3 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 5.945600-3 1.615026+4 6.100000-3 1.582175+4 6.500000-3 1.483008+4 6.839116-3 1.396746+4 7.500000-3 1.247072+4 7.943282-3 1.152707+4 8.609938-3 1.024413+4 9.549926-3 8.750250+3 1.040000-2 7.637420+3 1.230269-2 5.713862+3 1.318257-2 5.035954+3 1.548817-2 3.701305+3 1.678804-2 3.152650+3 1.950000-2 2.315680+3 2.150000-2 1.879782+3 2.454709-2 1.406158+3 2.818383-2 1.028501+3 3.150000-2 7.946780+2 3.630781-2 5.672994+2 4.216965-2 3.942129+2 4.897788-2 2.717362+2 5.754399-2 1.805523+2 6.839116-2 1.155515+2 8.222426-2 7.121177+1 1.011580-1 4.098272+1 1.318257-1 2.006601+1 2.041738-1 6.134790+0 2.722701-1 2.851451+0 2.951209-1 2.297344+0 3.467369-1 1.507455+0 4.027170-1 1.026610+0 4.623810-1 7.253319-1 5.248075-1 5.312131-1 5.956621-1 3.919645-1 6.683439-1 2.995516-1 7.498942-1 2.305463-1 8.609938-1 1.697359-1 9.332543-1 1.427856-1 1.011579+0 1.209290-1 1.148154+0 9.406639-2 1.273503+0 7.708585-2 1.428894+0 6.225855-2 1.659587+0 4.753397-2 1.883649+0 3.810258-2 2.137962+0 3.078320-2 2.483133+0 2.411132-2 2.884032+0 1.903545-2 3.311311+0 1.541588-2 3.845918+0 1.235716-2 4.518559+0 9.813895-3 5.308844+0 7.853666-3 6.309573+0 6.233665-3 7.585776+0 4.910323-3 9.225714+0 3.842067-3 1.122018+1 3.027339-3 1.380384+1 2.369607-3 1.737801+1 1.817253-3 2.290868+1 1.332872-3 2.985383+1 9.978190-4 4.315191+1 6.721446-4 6.456542+1 4.403596-4 1.071519+2 2.611287-4 2.041738+2 1.354349-4 4.073803+2 6.742353-5 1.621810+3 1.684811-5 1.000000+5 2.728200-7 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 5.945600-3 8.127800-4 1.000000+5 8.127800-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.945600-3 1.982500-4 1.000000+5 1.982500-4 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 5.945600-3 4.934570-3 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.829000-3 6.384600+4 4.920000-3 6.224489+4 5.188000-3 5.718455+4 5.500000-3 5.174800+4 6.165950-3 4.228898+4 6.800000-3 3.517756+4 7.943282-3 2.600886+4 8.609938-3 2.209805+4 9.900000-3 1.656648+4 1.071519-2 1.396433+4 1.270000-2 9.586200+3 1.400000-2 7.661560+3 1.584893-2 5.731370+3 1.800000-2 4.215120+3 2.000000-2 3.252744+3 2.317395-2 2.243040+3 2.660725-2 1.568730+3 2.985383-2 1.157521+3 3.400000-2 8.159840+2 3.935501-2 5.463120+2 4.570882-2 3.595153+2 5.308844-2 2.348120+2 6.165950-2 1.523462+2 7.328245-2 9.178706+1 8.912509-2 5.127207+1 1.122019-1 2.562674+1 1.927525-1 4.965127+0 2.371374-1 2.663705+0 2.786121-1 1.651785+0 3.235937-1 1.067391+0 3.715352-1 7.186408-1 4.216965-1 5.037474-1 4.731513-1 3.672169-1 5.308844-1 2.696002-1 5.956621-1 1.994585-1 6.606935-1 1.531971-1 7.328245-1 1.184745-1 8.609938-1 8.021992-2 9.225714-1 6.826635-2 9.772372-1 6.001234-2 1.035142+0 5.307795-2 1.109175+0 4.609855-2 1.202264+0 3.938783-2 1.318257+0 3.315665-2 1.479108+0 2.695422-2 1.757924+0 1.981985-2 1.972423+0 1.625021-2 2.264644+0 1.291530-2 2.630268+0 1.014672-2 3.019952+0 8.178188-3 3.507519+0 6.525970-3 4.073803+0 5.245513-3 4.786301+0 4.177277-3 5.623413+0 3.351613-3 6.683439+0 2.666756-3 8.035261+0 2.105689-3 9.885531+0 1.628055-3 1.202264+1 1.286113-3 1.513561+1 9.821193-4 1.883649+1 7.653581-4 2.344229+1 5.995115-4 3.000000+1 4.579000-4 4.315191+1 3.100622-4 6.531306+1 2.007229-4 1.083927+2 1.190448-4 2.089296+2 6.103814-5 4.168694+2 3.039067-5 1.659587+3 7.594830-6 1.000000+5 1.258500-7 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.829000-3 6.977800-4 1.000000+5 6.977800-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.829000-3 7.386600-5 1.000000+5 7.386600-5 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.829000-3 4.057354-3 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 4.237200-3 1.579186+5 4.285000-3 1.528113+5 4.350000-3 1.479544+5 4.518559-3 1.334736+5 5.069907-3 9.844271+4 5.432503-3 8.147017+4 6.165950-3 5.710119+4 6.918310-3 4.108496+4 7.800000-3 2.893476+4 8.709636-3 2.078499+4 1.059254-2 1.137621+4 1.188502-2 7.905163+3 1.355400-2 5.193181+3 1.621810-2 2.886627+3 1.862087-2 1.820136+3 2.089296-2 1.233242+3 2.426610-2 7.380645+2 2.851018-2 4.210576+2 3.388442-2 2.288214+2 4.073803-2 1.183795+2 5.011872-2 5.591823+1 6.382635-2 2.309304+1 1.071519-1 3.422593+0 1.364583-1 1.407695+0 1.640590-1 7.202241-1 1.949845-1 3.871606-1 2.264644-1 2.275826-1 2.600160-1 1.403305-1 2.951209-1 9.072231-2 3.311311-1 6.143393-2 3.715352-1 4.189643-2 4.120975-1 2.988479-2 4.570882-1 2.146260-2 5.069907-1 1.552538-2 5.559043-1 1.171546-2 6.025596-1 9.212265-3 6.531306-1 7.300954-3 7.161434-1 5.638283-3 7.943282-1 4.250529-3 8.609938-1 3.403899-3 9.120108-1 2.921100-3 9.549926-1 2.598334-3 1.000000+0 2.324596-3 1.047129+0 2.093625-3 1.096478+0 1.897785-3 1.161449+0 1.691331-3 1.244515+0 1.485814-3 1.348963+0 1.285606-3 1.513561+0 1.053819-3 1.819701+0 7.604742-4 2.018366+0 6.367534-4 2.344229+0 4.973332-4 2.722701+0 3.914988-4 3.126079+0 3.161561-4 3.630781+0 2.527201-4 4.265795+0 2.001490-4 5.011872+0 1.597379-4 5.956621+0 1.264641-4 7.161434+0 9.937390-5 8.609938+0 7.869332-5 1.059254+1 6.099834-5 1.318257+1 4.700811-5 1.678804+1 3.553142-5 2.264644+1 2.537665-5 2.985383+1 1.875823-5 4.315191+1 1.263574-5 6.456542+1 8.278556-6 1.071519+2 4.909109-6 2.041738+2 2.546137-6 4.073803+2 1.267547-6 1.621810+3 3.167363-7 1.000000+5 5.128900-9 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 4.237200-3 5.308700-4 1.000000+5 5.308700-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.237200-3 2.201200-4 1.000000+5 2.201200-4 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.237200-3 3.486210-3 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 4.015600-3 2.488611+5 4.731513-3 1.600072+5 5.188000-3 1.237437+5 5.956621-3 8.322843+4 6.683439-3 5.942318+4 7.500000-3 4.209036+4 8.317638-3 3.066196+4 1.023293-2 1.596980+4 1.135011-2 1.142410+4 1.303167-2 7.269672+3 1.531087-2 4.239310+3 1.737801-2 2.752778+3 1.950000-2 1.849074+3 2.264644-2 1.093935+3 2.660725-2 6.156425+2 3.162278-2 3.292822+2 3.715352-2 1.821204+2 4.466836-2 9.180473+1 5.370318-2 4.592872+1 6.918310-2 1.755688+1 1.230269-1 1.953071+0 1.479108-1 9.736947-1 1.717908-1 5.568859-1 1.972423-1 3.347198-1 2.238721-1 2.112287-1 2.511886-1 1.398913-1 2.818383-1 9.330817-2 3.126079-1 6.525906-2 3.467369-1 4.597284-2 3.845918-1 3.263660-2 4.216965-1 2.423681-2 4.623810-1 1.812396-2 5.069907-1 1.365044-2 5.559043-1 1.035803-2 6.025596-1 8.190447-3 6.531306-1 6.529039-3 7.161434-1 5.076946-3 7.943282-1 3.857066-3 8.609938-1 3.105255-3 9.120108-1 2.674966-3 9.549926-1 2.386867-3 1.000000+0 2.142391-3 1.059254+0 1.888015-3 1.122018+0 1.676059-3 1.202264+0 1.464632-3 1.303167+0 1.262098-3 1.531087+0 9.512431-4 1.819701+0 7.005593-4 2.018366+0 5.866401-4 2.344229+0 4.581640-4 2.722701+0 3.606118-4 3.126079+0 2.911779-4 3.630781+0 2.327530-4 4.265795+0 1.843358-4 5.011872+0 1.471192-4 5.956621+0 1.164782-4 7.161434+0 9.152414-5 8.609938+0 7.247735-5 1.059254+1 5.617967-5 1.318257+1 4.329428-5 1.678804+1 3.272436-5 2.264644+1 2.337243-5 2.985383+1 1.727647-5 4.315191+1 1.163774-5 6.456542+1 7.624549-6 1.071519+2 4.521287-6 2.041738+2 2.345088-6 4.073803+2 1.167413-6 1.621810+3 2.917143-7 1.000000+5 4.723700-9 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 4.015600-3 5.341900-4 1.000000+5 5.341900-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.015600-3 3.550900-7 1.000000+5 3.550900-7 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.015600-3 3.481055-3 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.664100-3 2.243786+4 1.750000-3 2.119651+4 1.927525-3 1.918338+4 2.041738-3 1.811046+4 2.162719-3 1.695625+4 2.511886-3 1.421806+4 2.917427-3 1.182003+4 3.162278-3 1.062047+4 3.890451-3 7.961011+3 4.315191-3 6.837149+3 5.069907-3 5.359420+3 5.956621-3 4.156529+3 6.683439-3 3.449913+3 8.000000-3 2.554940+3 9.660509-3 1.844846+3 1.161449-2 1.328773+3 1.380384-2 9.686113+2 1.650000-2 6.928220+2 1.949845-2 5.025545+2 2.317395-2 3.579093+2 2.754229-2 2.530005+2 3.273407-2 1.774989+2 3.890451-2 1.236069+2 4.623810-2 8.543780+1 5.495409-2 5.864745+1 6.606934-2 3.893954+1 8.035261-2 2.500871+1 9.885531-2 1.552802+1 1.202264-1 9.831387+0 1.603245-1 4.952042+0 2.511886-1 1.691538+0 3.162278-1 9.815749-1 3.801894-1 6.393846-1 4.466836-1 4.425153-1 5.248075-1 3.085406-1 6.025596-1 2.279645-1 6.998420-1 1.656911-1 8.222427-1 1.184514-1 9.772372-1 8.335181-2 1.174898+0 5.804479-2 1.303167+0 4.759430-2 1.479108+0 3.761486-2 1.678804+0 2.994590-2 1.905461+0 2.402605-2 2.187762+0 1.906124-2 2.540973+0 1.494844-2 2.951209+0 1.181506-2 3.427678+0 9.416368-3 4.000000+0 7.509000-3 4.677351+0 6.014310-3 5.495409+0 4.820572-3 6.531306+0 3.831789-3 7.852356+0 3.022776-3 9.660509+0 2.334981-3 1.174898+1 1.843051-3 1.462177+1 1.425327-3 1.819701+1 1.109482-3 2.317395+1 8.465472-4 2.985383+1 6.418091-4 4.315191+1 4.323267-4 6.456542+1 2.832416-4 1.071519+2 1.679594-4 2.041738+2 8.711603-5 4.073803+2 4.336743-5 1.621810+3 1.083729-5 1.000000+5 1.754800-7 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.664100-3 5.329200-4 1.000000+5 5.329200-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.664100-3 1.035600-6 1.000000+5 1.035600-6 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.664100-3 1.130144-3 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.493200-3 1.891578+4 1.630000-3 1.876610+4 1.800000-3 1.836551+4 1.950000-3 1.781452+4 2.113489-3 1.712088+4 2.290868-3 1.633712+4 2.454709-3 1.558613+4 2.691535-3 1.449555+4 2.851018-3 1.377319+4 3.162278-3 1.243883+4 3.467369-3 1.129746+4 3.720000-3 1.042492+4 4.168694-3 9.064758+3 4.570882-3 8.046510+3 5.011872-3 7.085461+3 5.623413-3 6.003606+3 6.165950-3 5.219029+3 6.918310-3 4.351705+3 7.673615-3 3.667011+3 8.609938-3 3.012421+3 9.800000-3 2.392140+3 1.096478-2 1.944402+3 1.230269-2 1.562241+3 1.400000-2 1.212250+3 1.603245-2 9.210549+2 1.840772-2 6.901401+2 2.113489-2 5.127794+2 2.426610-2 3.778876+2 2.786121-2 2.762900+2 3.198895-2 2.004833+2 3.672823-2 1.444317+2 4.216965-2 1.033480+2 4.897788-2 7.140307+1 5.754399-2 4.757700+1 6.839116-2 3.055391+1 8.222426-2 1.890277+1 1.011580-1 1.092619+1 1.333521-1 5.212878+0 2.041738-1 1.656324+0 2.691535-1 7.939792-1 3.235937-1 4.897976-1 3.801894-1 3.233333-1 4.365158-1 2.280487-1 5.011872-1 1.620433-1 5.688529-1 1.193462-1 6.382635-1 9.099486-2 7.161434-1 6.995076-2 8.128305-1 5.279209-2 9.440609-1 3.819681-2 1.023293+0 3.229818-2 1.122018+0 2.686437-2 1.250000+0 2.181771-2 1.396368+0 1.775577-2 1.659587+0 1.300372-2 1.883649+0 1.042291-2 2.137962+0 8.421147-3 2.483133+0 6.596073-3 2.884032+0 5.207235-3 3.311311+0 4.217128-3 3.845918+0 3.380480-3 4.518559+0 2.684652-3 5.308844+0 2.148367-3 6.309573+0 1.705256-3 7.585776+0 1.343222-3 9.225714+0 1.050989-3 1.135011+1 8.168151-4 1.412538+1 6.310585-4 1.757924+1 4.906687-4 2.290868+1 3.646202-4 2.985383+1 2.729587-4 4.315191+1 1.838649-4 6.456542+1 1.204656-4 1.059254+2 7.228184-5 2.018366+2 3.748504-5 4.027170+2 1.865940-5 1.603245+3 4.662467-6 1.000000+5 7.463200-8 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.493200-3 4.977800-4 1.000000+5 4.977800-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.493200-3 6.788900-7 1.000000+5 6.788900-7 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.493200-3 9.947411-4 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.194400-3 1.423195+5 1.333521-3 1.270556+5 1.500000-3 1.114428+5 1.757924-3 9.162526+4 1.905461-3 8.251331+4 2.162719-3 6.919775+4 2.400000-3 5.932200+4 2.754229-3 4.813145+4 3.019952-3 4.153439+4 3.507519-3 3.242009+4 3.900000-3 2.699528+4 4.466836-3 2.120962+4 5.069907-3 1.678744+4 5.688529-3 1.349147+4 6.531306-3 1.029304+4 7.413102-3 7.968832+3 8.317638-3 6.276008+3 9.500000-3 4.729080+3 1.083927-2 3.543367+3 1.244515-2 2.597250+3 1.428894-2 1.888043+3 1.650000-2 1.342660+3 1.883649-2 9.734706+2 2.162719-2 6.906647+2 2.454709-2 5.008290+2 2.818383-2 3.501743+2 3.235937-2 2.429712+2 3.672823-2 1.726983+2 4.216965-2 1.182388+2 4.897788-2 7.785105+1 5.754399-2 4.924824+1 6.760830-2 3.092119+1 8.128305-2 1.801892+1 1.000000-1 9.732800+0 1.333521-1 4.096608+0 2.000000-1 1.206728+0 2.483133-1 6.332447-1 2.917427-1 3.944969-1 3.388442-1 2.560416-1 3.890451-1 1.729807-1 4.415705-1 1.216117-1 4.954502-1 8.889008-2 5.559043-1 6.549520-2 6.237348-1 4.863496-2 6.918310-1 3.746297-2 7.943282-1 2.657025-2 8.609938-1 2.189931-2 9.225714-1 1.868223-2 9.772372-1 1.645960-2 1.047129+0 1.424432-2 1.135011+0 1.211639-2 1.244515+0 1.014581-2 1.380384+0 8.378116-3 1.717908+0 5.664417-3 1.949845+0 4.548505-3 2.238721+0 3.612654-3 2.600160+0 2.836472-3 3.019952+0 2.244750-3 3.507519+0 1.791254-3 4.073803+0 1.439806-3 4.786301+0 1.146612-3 5.623413+0 9.199827-4 6.683439+0 7.319740-4 8.035261+0 5.779845-4 9.885531+0 4.468834-4 1.202264+1 3.530176-4 1.513561+1 2.695759-4 1.883649+1 2.100811-4 2.344229+1 1.645616-4 2.985383+1 1.263508-4 4.315191+1 8.510747-5 6.456542+1 5.575910-5 1.071519+2 3.306462-5 2.041738+2 1.714917-5 4.073803+2 8.537307-6 1.621810+3 2.133355-6 1.000000+5 3.454500-8 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.194400-3 4.287000-4 1.000000+5 4.287000-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.194400-3 6.794200-7 1.000000+5 6.794200-7 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.194400-3 7.650206-4 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 9.196400-4 1.695600+5 9.308000-4 1.778408+5 9.415000-4 1.847518+5 9.530000-4 1.910368+5 9.650000-4 1.963459+5 9.772372-4 2.004946+5 9.900000-4 2.035458+5 1.000000-3 2.051000+5 1.015000-3 2.062032+5 1.023293-3 2.062536+5 1.096478-3 2.022120+5 1.161449-3 1.973220+5 1.216186-3 1.922943+5 1.285000-3 1.851812+5 1.380384-3 1.745088+5 1.462177-3 1.651634+5 1.548817-3 1.553379+5 1.659587-3 1.432485+5 1.778279-3 1.311404+5 1.905461-3 1.191637+5 2.065380-3 1.058744+5 2.187762-3 9.669907+4 2.376900-3 8.414365+4 2.600160-3 7.191898+4 2.800000-3 6.273400+4 3.090295-3 5.183025+4 3.349654-3 4.410268+4 3.650000-3 3.684152+4 4.027170-3 2.978522+4 4.400000-3 2.441256+4 4.900000-3 1.902024+4 5.370318-3 1.526233+4 5.956621-3 1.181826+4 6.606934-3 9.076352+3 7.300000-3 6.993680+3 8.222426-3 5.079956+3 9.225714-3 3.695866+3 1.023293-2 2.756764+3 1.135011-2 2.043458+3 1.273503-2 1.454414+3 1.445440-2 9.920676+2 1.640590-2 6.709403+2 1.862087-2 4.500923+2 2.100000-2 3.059068+2 2.371374-2 2.056944+2 2.691535-2 1.350920+2 3.090295-2 8.477553+1 3.589219-2 5.076583+1 4.168694-2 3.017497+1 4.954502-2 1.642400+1 6.025596-2 8.173120+0 7.585776-2 3.565000+0 1.445440-1 3.444461-1 1.737801-1 1.778753-1 2.018366-1 1.046351-1 2.398833-1 5.714502-2 2.754229-1 3.548183-2 3.126079-1 2.308773-2 3.507519-1 1.572703-2 3.935501-1 1.078814-2 4.365158-1 7.735031-3 4.841724-1 5.586029-3 5.308844-1 4.210690-3 5.821032-1 3.195413-3 6.382635-1 2.442262-3 6.918310-1 1.946827-3 7.673615-1 1.466467-3 9.440609-1 8.440398-4 9.885531-1 7.506942-4 1.023293+0 6.911868-4 1.071519+0 6.233181-4 1.122018+0 5.658855-4 1.188502+0 5.054269-4 1.273503+0 4.451303-4 1.380384+0 3.866527-4 1.513561+0 3.308510-4 1.840772+0 2.339978-4 2.044000+0 1.956740-4 2.371374+0 1.532004-4 2.754229+0 1.206519-4 3.162278+0 9.747645-5 3.672823+0 7.796061-5 4.315191+0 6.177628-5 5.069907+0 4.932981-5 6.025596+0 3.907638-5 7.161434+0 3.117852-5 8.609938+0 2.469008-5 1.059254+1 1.913834-5 1.318257+1 1.474891-5 1.678804+1 1.114780-5 2.264644+1 7.961967-6 2.985383+1 5.885499-6 4.315191+1 3.964428-6 6.456542+1 2.597395-6 1.071519+2 1.540237-6 2.089296+2 7.804330-7 4.168694+2 3.885709-7 1.659587+3 9.710794-8 1.000000+5 1.609200-9 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 9.196400-4 3.417100-4 1.000000+5 3.417100-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 9.196400-4 4.190100-7 1.000000+5 4.190100-7 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 9.196400-4 5.775110-4 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 8.654400-4 3.336316+5 8.781000-4 3.372438+5 9.170000-4 3.529084+5 9.350000-4 3.561923+5 9.500000-4 3.575857+5 9.700000-4 3.560021+5 1.000000-3 3.523361+5 1.074300-3 3.394576+5 1.135011-3 3.275362+5 1.202264-3 3.131684+5 1.288250-3 2.941363+5 1.364583-3 2.773809+5 1.450000-3 2.590428+5 1.548817-3 2.388077+5 1.650000-3 2.195544+5 1.730000-3 2.053320+5 1.905461-3 1.776424+5 2.018366-3 1.620582+5 2.162719-3 1.441115+5 2.400000-3 1.197354+5 2.570396-3 1.053788+5 2.818383-3 8.798344+4 3.090295-3 7.297468+4 3.349654-3 6.153698+4 3.715352-3 4.904072+4 4.073803-3 3.977695+4 4.518559-3 3.118260+4 5.000000-3 2.437902+4 5.500000-3 1.920498+4 6.095369-3 1.473647+4 6.683439-3 1.154969+4 7.413102-3 8.720959+3 8.317638-3 6.328818+3 9.225714-3 4.707327+3 1.011579-2 3.598848+3 1.135011-2 2.554010+3 1.273503-2 1.798288+3 1.445440-2 1.211758+3 1.621810-2 8.398953+2 1.819701-2 5.781142+2 2.041738-2 3.952521+2 2.290868-2 2.685088+2 2.600160-2 1.742926+2 2.951209-2 1.123110+2 3.388442-2 6.903297+1 3.935501-2 4.042767+1 4.570882-2 2.349720+1 5.432503-2 1.246593+1 6.683439-2 5.777470+0 1.396368-1 3.655772-1 1.659587-1 1.925059-1 1.905461-1 1.159635-1 2.187762-1 7.037951-2 2.483133-1 4.484713-2 2.851018-1 2.765631-2 3.162278-1 1.937015-2 3.507519-1 1.366221-2 3.845918-1 1.008451-2 4.216965-1 7.501655-3 4.623810-1 5.619102-3 5.069907-1 4.238620-3 5.559043-1 3.219721-3 6.095369-1 2.464593-3 6.606935-1 1.963918-3 7.161434-1 1.575399-3 7.762471-1 1.271592-3 8.609938-1 9.692003-4 9.120108-1 8.380634-4 9.660509-1 7.298078-4 1.011579+0 6.575196-4 1.071519+0 5.813301-4 1.135011+0 5.171602-4 1.216186+0 4.525157-4 1.318257+0 3.900420-4 1.798871+0 2.250372-4 2.018366+0 1.847112-4 2.344229+0 1.442458-4 2.722701+0 1.135443-4 3.126079+0 9.169187-5 3.630781+0 7.329434-5 4.265795+0 5.804703-5 5.011872+0 4.632660-5 5.956621+0 3.667808-5 7.161434+0 2.882072-5 8.609938+0 2.282287-5 1.059254+1 1.769059-5 1.318257+1 1.363328-5 1.678804+1 1.030461-5 2.264644+1 7.359845-6 2.985383+1 5.440372-6 4.315191+1 3.664676-6 6.456542+1 2.400990-6 1.071519+2 1.423675-6 2.041738+2 7.384381-7 4.073803+2 3.676115-7 1.621810+3 9.186060-8 1.000000+5 1.487500-9 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 8.654400-4 3.347200-4 1.000000+5 3.347200-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 8.654400-4 9.953000-8 1.000000+5 9.953000-8 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 8.654400-4 5.306205-4 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 5.022500-4 4.908048+4 5.024000-4 4.932120+4 5.031000-4 4.986030+4 5.045000-4 5.049882+4 5.075000-4 5.146326+4 5.110000-4 5.228916+4 5.170000-4 5.329398+4 5.190000-4 5.383332+4 5.208000-4 5.459544+4 5.222000-4 5.544480+4 5.238000-4 5.675370+4 5.253000-4 5.836764+4 5.265000-4 5.996874+4 5.280000-4 6.239640+4 5.295000-4 6.535560+4 5.310000-4 6.889560+4 5.320000-4 7.161060+4 5.335000-4 7.626000+4 5.350000-4 8.166360+4 5.365000-4 8.788140+4 5.385000-4 9.757200+4 5.407000-4 1.102518+5 5.432503-4 1.278436+5 5.510000-4 2.025366+5 5.540000-4 2.401452+5 5.560000-4 2.677656+5 5.580000-4 2.973210+5 5.600000-4 3.285894+5 5.628000-4 3.750270+5 5.650000-4 4.134996+5 5.670000-4 4.498350+5 5.697000-4 5.006772+5 5.720000-4 5.454378+5 5.740000-4 5.852802+5 5.770000-4 6.462300+5 5.800000-4 7.081500+5 5.830000-4 7.705320+5 5.865000-4 8.426400+5 5.900000-4 9.131400+5 5.930000-4 9.715380+5 5.965000-4 1.036542+6 6.000000-4 1.097652+6 6.030000-4 1.146714+6 6.065000-4 1.199928+6 6.100000-4 1.248912+6 6.140000-4 1.299882+6 6.190000-4 1.356570+6 6.240000-4 1.406388+6 6.300000-4 1.457034+6 6.350000-4 1.492458+6 6.410000-4 1.527222+6 6.460000-4 1.550346+6 6.531306-4 1.575258+6 6.606934-4 1.592430+6 6.720500-4 1.605496+6 6.850000-4 1.607094+6 7.000000-4 1.597842+6 7.161434-4 1.576728+6 7.350000-4 1.542276+6 7.585776-4 1.491592+6 7.852356-4 1.428832+6 8.200000-4 1.343970+6 8.609938-4 1.244839+6 9.015711-4 1.150641+6 9.549926-4 1.035115+6 1.015000-3 9.180480+5 1.071519-3 8.199011+5 1.150000-3 7.019580+5 1.216186-3 6.166711+5 1.318257-3 5.075375+5 1.420000-3 4.215234+5 1.513561-3 3.569858+5 1.659587-3 2.786572+5 1.800000-3 2.226048+5 1.972423-3 1.712907+5 2.162719-3 1.307918+5 2.371374-3 9.905892+4 2.630268-3 7.197607+4 2.917427-3 5.183162+4 3.198895-3 3.848687+4 3.589219-3 2.629141+4 3.935501-3 1.925522+4 4.400000-3 1.310796+4 4.954502-3 8.628535+3 5.500000-3 5.928054+3 6.095369-3 4.072158+3 6.839116-3 2.654224+3 7.673615-3 1.716853+3 8.709636-3 1.054075+3 9.800000-3 6.639840+2 1.096478-2 4.247311+2 1.230269-2 2.669004+2 1.380384-2 1.666952+2 1.566751-2 9.864751+1 1.798871-2 5.524156+1 2.065380-2 3.069856+1 2.398833-2 1.611466+1 2.818383-2 7.984829+0 3.349654-2 3.732637+0 4.073803-2 1.564119+0 5.370318-2 4.538352-1 8.035261-2 7.428368-2 1.023293-1 2.519143-2 1.216186-1 1.171525-2 1.412538-1 6.074693-3 1.603245-1 3.507160-3 1.840772-1 1.940751-3 2.089296-1 1.136469-3 2.371374-1 6.705930-4 2.660725-1 4.176833-4 2.951209-1 2.746785-4 3.273407-1 1.820100-4 3.589219-1 1.273240-4 3.981072-1 8.584165-5 4.786301-1 4.317270-5 5.188000-1 3.215673-5 5.559043-1 2.513209-5 5.956621-1 1.977538-5 6.309573-1 1.632399-5 6.760830-1 1.305588-5 7.943282-1 7.863668-6 8.413951-1 6.602288-6 8.810489-1 5.772441-6 9.225714-1 5.077595-6 9.660509-1 4.498256-6 1.000000+0 4.129362-6 1.047129+0 3.711472-6 1.096478+0 3.359436-6 1.148154+0 3.059213-6 1.216186+0 2.740420-6 1.318257+0 2.369746-6 1.513561+0 1.871637-6 1.840772+0 1.323881-6 2.044000+0 1.106830-6 2.371374+0 8.663448-7 2.754229+0 6.823152-7 3.162278+0 5.513042-7 3.672823+0 4.409392-7 4.315191+0 3.494047-7 5.069907+0 2.790060-7 6.025596+0 2.210166-7 7.244360+0 1.737555-7 8.709636+0 1.376551-7 1.071519+1 1.067436-7 1.333521+1 8.230151-8 1.698244+1 6.223070-8 2.264644+1 4.503246-8 2.985383+1 3.328816-8 4.315191+1 2.242283-8 6.456542+1 1.469075-8 1.071519+2 8.711348-9 2.041738+2 4.518314-9 4.073803+2 2.249311-9 1.621810+3 5.62063-10 1.000000+5 9.10140-12 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 5.022500-4 2.018900-4 1.000000+5 2.018900-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 5.022500-4 3.875200-8 1.000000+5 3.875200-8 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 5.022500-4 3.003212-4 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 4.874700-4 7.404911+4 4.886000-4 7.256416+4 4.897788-4 7.151392+4 4.914000-4 7.073160+4 4.932000-4 7.043672+4 4.970000-4 7.060248+4 5.011872-4 7.127715+4 5.032200-4 7.191584+4 5.055000-4 7.312864+4 5.070000-4 7.433576+4 5.087000-4 7.621407+4 5.100000-4 7.808360+4 5.115000-4 8.077680+4 5.128614-4 8.377944+4 5.143000-4 8.759680+4 5.155000-4 9.133360+4 5.170000-4 9.678080+4 5.185000-4 1.031720+5 5.200000-4 1.105952+5 5.215000-4 1.191504+5 5.230000-4 1.289320+5 5.253000-4 1.465320+5 5.280000-4 1.716104+5 5.350000-4 2.614272+5 5.380000-4 3.112576+5 5.407000-4 3.616480+5 5.432503-4 4.136730+5 5.457000-4 4.673504+5 5.480000-4 5.207136+5 5.500000-4 5.692152+5 5.520000-4 6.194856+5 5.550000-4 6.978392+5 5.580000-4 7.791560+5 5.610000-4 8.628560+5 5.642000-4 9.538880+5 5.670000-4 1.034224+6 5.697000-4 1.111552+6 5.730000-4 1.204840+6 5.760000-4 1.287480+6 5.790000-4 1.367216+6 5.821032-4 1.445903+6 5.850000-4 1.515488+6 5.890000-4 1.604936+6 5.930000-4 1.686496+6 5.965000-4 1.751648+6 6.000000-4 1.811296+6 6.050000-4 1.887392+6 6.100000-4 1.953696+6 6.157900-4 2.019052+6 6.220000-4 2.076400+6 6.280000-4 2.120248+6 6.350000-4 2.158360+6 6.430000-4 2.187240+6 6.531306-4 2.206454+6 6.653400-4 2.211780+6 6.780000-4 2.203464+6 6.930000-4 2.180016+6 7.080000-4 2.144880+6 7.300000-4 2.081016+6 7.500000-4 2.016176+6 7.800000-4 1.913168+6 8.128305-4 1.798669+6 8.511380-4 1.668276+6 9.015711-4 1.506048+6 9.500000-4 1.363216+6 1.000000-3 1.229288+6 1.070000-3 1.064064+6 1.135011-3 9.328552+5 1.202264-3 8.149715+5 1.303167-3 6.692702+5 1.400000-3 5.585336+5 1.500000-3 4.658944+5 1.650000-3 3.597088+5 1.778279-3 2.916644+5 1.972423-3 2.163085+5 2.150000-3 1.675184+5 2.400000-3 1.198344+5 2.630268-3 9.000317+4 2.917427-3 6.464564+4 3.223700-3 4.662727+4 3.548134-3 3.386210+4 4.000000-3 2.248800+4 4.415704-3 1.592448+4 4.841724-3 1.148731+4 5.500000-3 7.242496+3 6.237348-3 4.549064+3 7.079458-3 2.821655+3 8.035261-3 1.734078+3 9.120108-3 1.056019+3 1.023293-2 6.676727+2 1.150000-2 4.164520+2 1.303167-2 2.493215+2 1.479108-2 1.471727+2 1.678804-2 8.627943+1 1.905461-2 5.021363+1 2.187762-2 2.761461+1 2.540973-2 1.433482+1 2.985383-2 7.017643+0 3.548134-2 3.238050+0 4.315191-2 1.336665+0 5.821032-2 3.417946-1 8.128305-2 7.438424-2 1.071519-1 2.122775-2 1.258925-1 1.028632-2 1.445440-1 5.566111-3 1.640590-1 3.193466-3 1.862087-1 1.845745-3 2.089296-1 1.128886-3 2.398833-1 6.308853-4 2.660725-1 4.107973-4 2.917427-1 2.824922-4 3.162278-1 2.049703-4 3.467369-1 1.431526-4 3.801894-1 1.007448-4 4.265795-1 6.553582-5 4.623810-1 4.887433-5 4.954502-1 3.827191-5 5.248075-1 3.142810-5 5.623413-1 2.497317-5 6.095369-1 1.921095-5 6.683439-1 1.419622-5 7.161434-1 1.137756-5 7.585776-1 9.511653-6 8.035261-1 8.000609-6 8.511380-1 6.779166-6 8.912509-1 5.974013-6 9.332543-1 5.296643-6 9.772372-1 4.727692-6 1.023293+0 4.250839-6 1.083927+0 3.753123-6 1.148154+0 3.338791-6 1.230269+0 2.925273-6 1.333521+0 2.527777-6 1.531087+0 1.988636-6 1.819701+0 1.464498-6 2.018366+0 1.226235-6 2.344229+0 9.576943-7 2.722701+0 7.537164-7 3.126079+0 6.085450-7 3.630781+0 4.864408-7 4.265795+0 3.852492-7 5.011872+0 3.074651-7 5.956621+0 2.434268-7 7.079458+0 1.941401-7 8.511380+0 1.536697-7 1.047129+1 1.190566-7 1.303167+1 9.171180-8 1.678804+1 6.839173-8 2.264644+1 4.884643-8 2.985383+1 3.610704-8 4.315191+1 2.432187-8 6.456542+1 1.593478-8 1.059254+2 9.561466-9 2.018366+2 4.958439-9 4.027170+2 2.468218-9 1.603245+3 6.16747-10 1.000000+5 9.87220-12 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 4.874700-4 1.978900-4 1.000000+5 1.978900-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 4.874700-4 1.191700-7 1.000000+5 1.191700-7 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 4.874700-4 2.894608-4 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 3.843000-4 4.553338+4 4.841724-4 3.726910+4 5.559043-4 3.322448+4 7.000000-4 2.662200+4 7.585776-4 2.447935+4 8.912509-4 2.044850+4 9.772372-4 1.834669+4 1.122018-3 1.544230+4 1.258925-3 1.329922+4 1.479108-3 1.068483+4 1.678804-3 8.936839+3 1.972423-3 7.070583+3 2.371374-3 5.365333+3 2.884032-3 3.967104+3 3.500000-3 2.921400+3 4.265795-3 2.120704+3 5.128614-3 1.562904+3 6.237348-3 1.121242+3 7.500000-3 8.137700+2 9.015711-3 5.864657+2 1.083927-2 4.194860+2 1.303167-2 2.978707+2 1.566751-2 2.099444+2 1.883649-2 1.468678+2 2.264644-2 1.019648+2 2.722701-2 7.024691+1 3.273407-2 4.801692+1 3.935501-2 3.256326+1 4.731513-2 2.190965+1 5.688529-2 1.462522+1 6.839116-2 9.688872+0 8.317638-2 6.205538+0 1.011580-1 3.944812+0 1.273503-1 2.295906+0 2.722701-1 3.754695-1 3.388442-1 2.243543-1 4.027170-1 1.504151-1 4.731513-1 1.043663-1 5.495409-1 7.483080-2 6.309573-1 5.540836-2 7.328245-1 4.032074-2 8.609938-1 2.887029-2 9.772372-1 2.236441-2 1.188502+0 1.524560-2 1.333521+0 1.223932-2 1.513561+0 9.680988-3 1.717908+0 7.717789-3 1.949845+0 6.201287-3 2.238721+0 4.925592-3 2.600160+0 3.867398-3 3.019952+0 3.060709-3 3.507519+0 2.442365-3 4.073803+0 1.963144-3 4.786301+0 1.563343-3 5.623413+0 1.254379-3 6.760830+0 9.831717-4 8.128305+0 7.767086-4 1.000000+1 6.007900-4 1.216186+1 4.747878-4 1.548817+1 3.578951-4 1.949845+1 2.755241-4 2.371374+1 2.215481-4 3.000000+1 1.713700-4 4.315191+1 1.160437-4 6.456542+1 7.602516-5 1.071519+2 4.508238-5 2.041738+2 2.338233-5 4.073803+2 1.164072-5 1.621810+3 2.908699-6 1.000000+5 4.710000-8 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 3.843000-4 2.220400-4 1.000000+5 2.220400-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.843000-4 1.128600-8 1.000000+5 1.128600-8 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 3.843000-4 1.622487-4 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 3.148000-4 1.243650+5 3.198895-4 1.187552+5 3.273407-4 1.120022+5 3.325000-4 1.068736+5 3.400000-4 9.899920+4 3.550000-4 8.484120+4 3.715352-4 7.329849+4 3.850000-4 6.520080+4 4.100000-4 5.428800+4 4.365158-4 4.555218+4 4.550000-4 4.079900+4 4.731513-4 3.701990+4 4.930000-4 3.369180+4 5.150000-4 3.073980+4 5.400000-4 2.805340+4 5.688529-4 2.557244+4 5.956621-4 2.371112+4 6.237348-4 2.212300+4 6.531306-4 2.077089+4 6.918310-4 1.934265+4 7.413102-4 1.789979+4 8.035261-4 1.647072+4 8.912509-4 1.492221+4 1.230269-3 1.113080+4 1.400000-3 9.834120+3 1.603245-3 8.573039+3 1.840772-3 7.390635+3 2.065380-3 6.487293+3 2.344229-3 5.580740+3 2.691535-3 4.697180+3 3.054921-3 3.980133+3 3.467369-3 3.349108+3 3.935501-3 2.798143+3 4.466836-3 2.320965+3 5.069907-3 1.911132+3 5.754399-3 1.561952+3 6.531306-3 1.267110+3 7.328245-3 1.040900+3 8.317638-3 8.326725+2 9.549926-3 6.473351+2 1.096478-2 4.988849+2 1.244515-2 3.901663+2 1.412538-2 3.030829+2 1.603245-2 2.338294+2 1.840772-2 1.748434+2 2.113489-2 1.297140+2 2.426610-2 9.549353+1 2.786121-2 6.978021+1 3.198895-2 5.062259+1 3.715352-2 3.547646+1 4.315191-2 2.467153+1 5.069907-2 1.655126+1 6.000000-2 1.081742+1 7.161434-2 6.863498+0 8.709636-2 4.115445+0 1.096478-1 2.235067+0 2.187762-1 3.511944-1 2.722701-1 1.963740-1 3.235937-1 1.249124-1 3.801894-1 8.247822-2 4.365158-1 5.818121-2 5.011872-1 4.134529-2 5.688529-1 3.045192-2 6.382635-1 2.322201-2 7.161434-1 1.783287-2 8.222427-1 1.310343-2 9.015711-1 1.072363-2 9.772372-1 9.056359-3 1.096478+0 7.189131-3 1.230269+0 5.746956-3 1.380384+0 4.631000-3 1.621810+0 3.457125-3 1.840772+0 2.767406-3 2.065380+0 2.276258-3 2.398833+0 1.779736-3 2.786121+0 1.402429-3 3.198895+0 1.133736-3 3.715352+0 9.072896-4 4.365158+0 7.193533-4 5.128614+0 5.747333-4 6.095369+0 4.555069-4 7.328245+0 3.582752-4 8.810489+0 2.839706-4 1.083927+1 2.203017-4 1.348963+1 1.699315-4 1.717908+1 1.285351-4 2.290868+1 9.305256-5 2.985383+1 6.966064-5 4.315191+1 4.692354-5 6.456542+1 3.074324-5 1.071519+2 1.822963-5 2.041738+2 9.455371-6 4.073803+2 4.707062-6 1.621810+3 1.176209-6 1.000000+5 1.904600-8 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 3.148000-4 2.033200-4 1.000000+5 2.033200-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.148000-4 2.106500-8 1.000000+5 2.106500-8 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.148000-4 1.114589-4 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.396500-4 3.326140+5 2.630268-4 2.941976+5 2.786121-4 2.698425+5 2.930000-4 2.517904+5 3.350000-4 2.141964+5 3.589219-4 1.985721+5 4.897788-4 1.442769+5 5.623413-4 1.244753+5 6.382635-4 1.080240+5 7.300000-4 9.220920+4 8.222426-4 7.960502+4 9.332543-4 6.759693+4 1.059254-3 5.699192+4 1.216186-3 4.695079+4 1.400000-3 3.823952+4 1.621810-3 3.061114+4 1.883649-3 2.421719+4 2.162719-3 1.937740+4 2.511886-3 1.511181+4 2.900000-3 1.182348+4 3.349654-3 9.181004+3 3.845918-3 7.157629+3 4.466836-3 5.424984+3 5.188000-3 4.077153+3 5.956621-3 3.108577+3 6.800000-3 2.380424+3 7.852356-3 1.766476+3 9.015711-3 1.316665+3 1.035142-2 9.737248+2 1.188502-2 7.145439+2 1.364583-2 5.203007+2 1.566751-2 3.759299+2 1.798871-2 2.695206+2 2.065380-2 1.917528+2 2.371374-2 1.353832+2 2.722701-2 9.489728+1 3.126079-2 6.603296+1 3.589219-2 4.561222+1 4.168694-2 3.031504+1 4.841724-2 1.999302+1 5.688529-2 1.267035+1 6.683439-2 7.967970+0 8.035261-2 4.651812+0 9.885531-2 2.518520+0 1.288250-1 1.137057+0 1.972423-1 3.150340-1 2.426610-1 1.697501-1 2.884032-1 1.021342-1 3.349654-1 6.624109-2 3.845918-1 4.475046-2 4.365158-1 3.147107-2 4.897788-1 2.301000-2 5.495409-1 1.694432-2 6.095369-1 1.295030-2 6.760830-1 9.965358-3 7.498942-1 7.720103-3 8.709636-1 5.381810-3 9.332543-1 4.585423-3 9.885531-1 4.035935-3 1.059254+0 3.489888-3 1.148154+0 2.969256-3 1.250000+0 2.523400-3 1.380384+0 2.102868-3 1.737801+0 1.394537-3 1.949845+0 1.142636-3 2.238721+0 9.076793-4 2.600160+0 7.126577-4 3.019952+0 5.639347-4 3.507519+0 4.500083-4 4.073803+0 3.617131-4 4.786301+0 2.880461-4 5.623413+0 2.311160-4 6.760830+0 1.811544-4 8.128305+0 1.431112-4 1.000000+1 1.107000-4 1.216186+1 8.748063-5 1.548817+1 6.594375-5 1.972423+1 5.011396-5 2.371374+1 4.082093-5 3.000000+1 3.157500-5 4.315191+1 2.138046-5 6.456542+1 1.400788-5 1.071519+2 8.306486-6 2.041738+2 4.308259-6 4.073803+2 2.144749-6 1.621810+3 5.359408-7 1.000000+5 8.678400-9 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.396500-4 1.413500-4 1.000000+5 1.413500-4 1 96000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.396500-4 5.390600-9 1.000000+5 5.390600-9 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.396500-4 9.829461-5 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.364600-4 5.763641+5 1.372000-4 6.138080+5 1.378000-4 6.511680+5 1.385000-4 7.028920+5 1.407000-4 9.062640+5 1.415000-4 9.879840+5 1.423000-4 1.069204+6 1.430700-4 1.144566+6 1.437000-4 1.202536+6 1.442000-4 1.245492+6 1.448000-4 1.292816+6 1.455000-4 1.341684+6 1.462177-4 1.384000+6 1.470000-4 1.421076+6 1.479108-4 1.452769+6 1.488000-4 1.472648+6 1.498000-4 1.483456+6 1.505000-4 1.484768+6 1.515000-4 1.479316+6 1.525000-4 1.466924+6 1.541400-4 1.435798+6 1.560000-4 1.390576+6 1.584893-4 1.322322+6 1.621810-4 1.217954+6 1.670000-4 1.087692+6 1.717908-4 9.677510+5 1.760000-4 8.703240+5 1.810000-4 7.646160+5 1.880000-4 6.362160+5 2.041738-4 4.228534+5 2.137962-4 3.385572+5 2.238721-4 2.728903+5 2.330000-4 2.278488+5 2.400000-4 2.004332+5 2.454709-4 1.825228+5 2.520000-4 1.645500+5 2.580000-4 1.508052+5 2.635000-4 1.401820+5 2.691535-4 1.309427+5 2.754229-4 1.223906+5 2.818383-4 1.151912+5 2.884032-4 1.091781+5 2.951209-4 1.042009+5 3.019952-4 1.001210+5 3.100000-4 9.641960+4 3.180000-4 9.362560+4 3.273407-4 9.126247+4 3.350000-4 8.989480+4 3.470000-4 8.853960+4 3.600000-4 8.786480+4 3.758374-4 8.777149+4 4.000000-4 8.842560+4 4.600000-4 9.053360+4 4.954502-4 9.110859+4 5.300000-4 9.095920+4 5.650000-4 9.017520+4 6.025596-4 8.876983+4 6.382635-4 8.698932+4 6.850000-4 8.420360+4 7.328245-4 8.103860+4 7.852356-4 7.734797+4 8.413951-4 7.331752+4 9.015711-4 6.905671+4 9.700000-4 6.435960+4 1.047129-3 5.939416+4 1.135011-3 5.416848+4 1.230269-3 4.906720+4 1.333521-3 4.413856+4 1.462177-3 3.882488+4 1.610000-3 3.365828+4 1.757924-3 2.933958+4 1.927525-3 2.523938+4 2.150000-3 2.092360+4 2.371374-3 1.754441+4 2.600160-3 1.477135+4 2.851018-3 1.236188+4 3.162278-3 1.004366+4 3.507519-3 8.097542+3 3.890451-3 6.478695+3 4.315191-3 5.145664+3 4.786301-3 4.055102+3 5.308844-3 3.171704+3 5.888437-3 2.462800+3 6.531306-3 1.898550+3 7.244360-3 1.453331+3 8.035261-3 1.104949+3 9.015711-3 8.084147+2 1.011579-2 5.869420+2 1.135011-2 4.232877+2 1.273503-2 3.029980+2 1.396368-2 2.305207+2 1.566751-2 1.624892+2 1.757924-2 1.136959+2 2.000000-2 7.559632+1 2.264644-2 5.069759+1 2.570396-2 3.350899+1 2.951209-2 2.116847+1 3.388442-2 1.326976+1 3.935501-2 7.939510+0 4.623810-2 4.529545+0 5.495409-2 2.463405+0 6.606934-2 1.277000+0 8.609938-2 4.920806-1 1.396368-1 8.574448-2 1.717908-1 4.080303-2 2.041738-1 2.212514-2 2.371374-1 1.310353-2 2.722701-1 8.136546-3 3.090295-1 5.293974-3 3.467369-1 3.605607-3 3.890451-1 2.472925-3 4.365158-1 1.709018-3 4.841724-1 1.234384-3 5.370318-1 8.979980-4 5.888437-1 6.815822-4 6.382635-1 5.395622-4 6.998420-1 4.163698-4 7.673615-1 3.235744-4 8.035261-1 2.857483-4 8.609938-1 2.361027-4 9.120108-1 2.026833-4 9.549926-1 1.804305-4 1.000000+0 1.616500-4 1.047129+0 1.458258-4 1.109175+0 1.291630-4 1.174898+0 1.152136-4 1.258925+0 1.011983-4 1.364583+0 8.761719-5 1.513561+0 7.326267-5 1.819701+0 5.285994-5 2.018366+0 4.425700-5 2.344229+0 3.456172-5 2.722701+0 2.720224-5 3.126079+0 2.196443-5 3.630781+0 1.755716-5 4.265795+0 1.390441-5 5.011872+0 1.109674-5 5.956621+0 8.786126-6 7.161434+0 6.903838-6 8.609938+0 5.467132-6 1.059254+1 4.237721-6 1.318257+1 3.265776-6 1.678804+1 2.468445-6 2.264644+1 1.763023-6 2.985383+1 1.303220-6 4.315191+1 8.778496-7 6.456542+1 5.751384-7 1.071519+2 3.410433-7 2.065380+2 1.748360-7 4.120975+2 8.704451-8 1.640590+3 2.175233-8 1.000000+5 3.56320-10 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.364600-4 1.364600-4 1.000000+5 1.364600-4 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.364600-4 0.0 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 1.252300-4 8.975523+5 1.254000-4 9.185640+5 1.261000-4 9.968700+5 1.280000-4 1.259904+6 1.290000-4 1.416618+6 1.298000-4 1.544970+6 1.305000-4 1.656000+6 1.311900-4 1.761491+6 1.318257-4 1.853245+6 1.325000-4 1.943082+6 1.331000-4 2.015292+6 1.337000-4 2.079462+6 1.343000-4 2.135052+6 1.350000-4 2.188788+6 1.358000-4 2.235624+6 1.366700-4 2.269823+6 1.373000-4 2.284548+6 1.380384-4 2.292184+6 1.391000-4 2.287428+6 1.402000-4 2.266662+6 1.414000-4 2.230242+6 1.428894-4 2.171399+6 1.447000-4 2.088048+6 1.470000-4 1.974576+6 1.500000-4 1.826670+6 1.548817-4 1.602365+6 1.600000-4 1.392936+6 1.650000-4 1.211466+6 1.705000-4 1.036350+6 1.778279-4 8.414621+5 1.905461-4 5.959705+5 1.980000-4 4.949610+5 2.041738-4 4.288956+5 2.113489-4 3.676038+5 2.170000-4 3.286416+5 2.220000-4 2.997234+5 2.280000-4 2.707416+5 2.330000-4 2.506020+5 2.391700-4 2.299440+5 2.450000-4 2.139960+5 2.500000-4 2.026416+5 2.560000-4 1.914036+5 2.620000-4 1.823604+5 2.670000-4 1.762350+5 2.730000-4 1.703052+5 2.800000-4 1.650096+5 2.880000-4 1.606578+5 2.951209-4 1.579685+5 3.030000-4 1.559820+5 3.126079-4 1.546002+5 3.235937-4 1.540093+5 3.388442-4 1.543122+5 3.630781-4 1.561339+5 4.073803-4 1.596970+5 4.365158-4 1.608310+5 4.677351-4 1.608477+5 4.954502-4 1.598463+5 5.248075-4 1.578846+5 5.623413-4 1.544049+5 6.000000-4 1.501086+5 6.382635-4 1.451453+5 6.850000-4 1.386798+5 7.328245-4 1.318844+5 7.852356-4 1.244120+5 8.511380-4 1.153493+5 9.200000-4 1.063938+5 1.000000-3 9.682320+4 1.083927-3 8.774648+4 1.190000-3 7.764960+4 1.303167-3 6.836295+4 1.412538-3 6.069233+4 1.570000-3 5.146218+4 1.730000-3 4.385784+4 1.883649-3 3.789464+4 2.089296-3 3.147922+4 2.317395-3 2.593963+4 2.600160-3 2.072823+4 2.917427-3 1.640840+4 3.235937-3 1.319001+4 3.600000-3 1.045350+4 4.027170-3 8.115052+3 4.466836-3 6.372278+3 4.954502-3 4.965835+3 5.495409-3 3.841664+3 6.095369-3 2.950197+3 6.760830-3 2.249026+3 7.498942-3 1.702161+3 8.317638-3 1.279476+3 9.225714-3 9.554122+2 1.035142-2 6.856347+2 1.161449-2 4.885778+2 1.303167-2 3.454689+2 1.428894-2 2.601275+2 1.603245-2 1.810269+2 1.798871-2 1.250351+2 2.041738-2 8.257612+1 2.317395-2 5.415766+1 2.630268-2 3.526086+1 3.000000-2 2.241397+1 3.427678-2 1.405808+1 3.935501-2 8.603751+0 4.518559-2 5.224171+0 5.308844-2 2.896144+0 6.606934-2 1.288380+0 1.303167-1 1.018681-1 1.584893-1 4.927740-2 1.862087-1 2.728971-2 2.137962-1 1.655719-2 2.426610-1 1.054475-2 2.722701-1 7.044340-3 3.054921-1 4.740710-3 3.388442-1 3.342773-3 3.758374-1 2.374228-3 4.120975-1 1.763219-3 4.518559-1 1.318177-3 4.954502-1 9.924582-4 5.432503-1 7.528944-4 5.956621-1 5.756433-4 6.456542-1 4.584556-4 7.079458-1 3.561619-4 8.222427-1 2.395842-4 8.810489-1 2.001372-4 9.332543-1 1.734365-4 9.772372-1 1.555305-4 1.023293+0 1.402925-4 1.083927+0 1.241688-4 1.161449+0 1.081110-4 1.250000+0 9.403400-5 1.364583+0 8.021044-5 1.819701+0 4.825513-5 2.018366+0 4.041052-5 2.344229+0 3.155782-5 2.722701+0 2.483797-5 3.126079+0 2.005541-5 3.630781+0 1.603127-5 4.265795+0 1.269633-5 5.011872+0 1.013289-5 5.956621+0 8.022514-6 7.079458+0 6.397967-6 8.511380+0 5.064129-6 1.047129+1 3.923736-6 1.303167+1 3.022460-6 1.678804+1 2.253894-6 2.264644+1 1.609789-6 2.985383+1 1.189928-6 4.315191+1 8.015526-7 6.456542+1 5.251475-7 1.071519+2 3.114073-7 2.041738+2 1.615130-7 4.073803+2 8.040541-8 1.621810+3 2.009260-8 1.000000+5 3.25350-10 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 1.252300-4 1.252300-4 1.000000+5 1.252300-4 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 1.252300-4 0.0 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.500000+1 0.0 0.0 0.0 1.348000-5 5.562357+5 1.364583-5 5.497642+5 1.428894-5 5.314690+5 1.480000-5 5.204040+5 1.531087-5 5.128005+5 1.584893-5 5.089853+5 1.630000-5 5.090100+5 1.678804-5 5.122446+5 1.730000-5 5.193420+5 1.778279-5 5.294985+5 1.830000-5 5.440470+5 1.883649-5 5.630234+5 1.927525-5 5.814603+5 1.990000-5 6.123060+5 2.055000-5 6.500580+5 2.113489-5 6.890282+5 2.190000-5 7.471470+5 2.270000-5 8.166330+5 2.371374-5 9.174023+5 2.500000-5 1.065615+6 2.660725-5 1.281991+6 2.985383-5 1.811800+6 3.162278-5 2.140641+6 3.311311-5 2.430959+6 3.467369-5 2.740746+6 3.630781-5 3.066363+6 3.758374-5 3.317901+6 3.900000-5 3.590430+6 4.073803-5 3.911530+6 4.265795-5 4.248962+6 4.466836-5 4.581649+6 4.677351-5 4.908519+6 4.900000-5 5.231130+6 5.150000-5 5.564400+6 5.400000-5 5.864670+6 5.650000-5 6.128310+6 5.900000-5 6.349980+6 6.150000-5 6.523140+6 6.400000-5 6.642240+6 6.606934-5 6.698149+6 6.839116-5 6.715509+6 7.079458-5 6.685251+6 7.328245-5 6.605867+6 7.585776-5 6.477777+6 7.852356-5 6.304191+6 8.128305-5 6.090334+6 8.413951-5 5.841020+6 8.709636-5 5.559987+6 9.015711-5 5.251288+6 9.332543-5 4.920336+6 9.650000-5 4.583640+6 9.950000-5 4.264680+6 1.023293-4 3.965961+6 1.050000-4 3.688680+6 1.080000-4 3.386250+6 1.110000-4 3.096300+6 1.135011-4 2.865487+6 1.170000-4 2.560485+6 1.205000-4 2.277729+6 1.240000-4 2.018868+6 1.277300-4 1.769284+6 1.315000-4 1.543023+6 1.350000-4 1.354734+6 1.391900-4 1.155138+6 1.430000-4 9.962640+5 1.465000-4 8.674290+5 1.500000-4 7.532100+5 1.531087-4 6.628298+5 1.566751-4 5.708395+5 1.603245-4 4.884873+5 1.640590-4 4.152356+5 1.678804-4 3.504288+5 1.705000-4 3.112710+5 1.740000-4 2.649441+5 1.778279-4 2.213264+5 1.810000-4 1.901466+5 1.850000-4 1.564500+5 1.890000-4 1.282011+5 1.930000-4 1.046343+5 1.972423-4 8.404394+4 2.020000-4 6.555540+4 2.120000-4 3.919800+4 2.150000-4 3.390420+4 2.170000-4 3.092280+4 2.190200-4 2.831676+4 2.213095-4 2.581642+4 2.230000-4 2.425524+4 2.250000-4 2.269641+4 2.265000-4 2.171799+4 2.280000-4 2.089191+4 2.295000-4 2.020875+4 2.307000-4 1.975905+4 2.323000-4 1.928529+4 2.340000-4 1.892946+4 2.358000-4 1.870638+4 2.373000-4 1.863246+4 2.391700-4 1.867218+4 2.407000-4 1.880556+4 2.426610-4 1.909868+4 2.445000-4 1.948809+4 2.465000-4 2.002623+4 2.490000-4 2.085018+4 2.520000-4 2.203461+4 2.560000-4 2.389512+4 2.710000-4 3.275610+4 2.770000-4 3.675360+4 2.830000-4 4.084950+4 2.884032-4 4.455822+4 2.930000-4 4.768770+4 2.985383-4 5.138491+4 3.050000-4 5.555880+4 3.100000-4 5.867070+4 3.162278-4 6.239031+4 3.235937-4 6.653421+4 3.311311-4 7.045053+4 3.390000-4 7.418850+4 3.470500-4 7.767261+4 3.550000-4 8.078070+4 3.650000-4 8.419800+4 3.758374-4 8.733275+4 3.850000-4 8.958780+4 3.970000-4 9.198960+4 4.073803-4 9.358241+4 4.216965-4 9.518419+4 4.365158-4 9.619661+4 4.518559-4 9.663826+4 4.677351-4 9.653901+4 4.841724-4 9.593808+4 5.069907-4 9.446603+4 5.308844-4 9.235690+4 5.559043-4 8.964448+4 5.821032-4 8.643659+4 6.165950-4 8.192122+4 6.531306-4 7.700680+4 6.918310-4 7.181693+4 7.328245-4 6.650398+4 7.762471-4 6.117146+4 8.222426-4 5.591198+4 8.709636-4 5.080583+4 9.332543-4 4.497425+4 1.000000-3 3.952770+4 1.071519-3 3.450062+4 1.148154-3 2.991473+4 1.230269-3 2.577631+4 1.333521-3 2.150456+4 1.445440-3 1.780576+4 1.584893-3 1.423527+4 1.717908-3 1.162317+4 1.862087-3 9.429397+3 2.041738-3 7.370561+3 2.238721-3 5.719614+3 2.454709-3 4.406224+3 2.691535-3 3.369897+3 2.951209-3 2.558729+3 3.235937-3 1.929647+3 3.548134-3 1.445612+3 3.890451-3 1.075956+3 4.315191-3 7.659659+2 4.786301-3 5.411671+2 5.308844-3 3.792795+2 5.821032-3 2.746497+2 6.382635-3 1.974152+2 7.079458-3 1.351616+2 7.943282-3 8.804255+1 8.912509-3 5.698410+1 1.000000-2 3.662951+1 1.122018-2 2.339807+1 1.258925-2 1.484232+1 1.380384-2 1.025527+1 1.548817-2 6.407490+0 1.757924-2 3.789263+0 2.018366-2 2.119079+0 2.344229-2 1.121056+0 2.722701-2 5.885633-1 3.162278-2 3.068208-1 3.801894-2 1.364479-1 4.731513-2 5.168528-2 9.332543-2 2.492888-3 1.188502-1 8.518135-4 1.380384-1 4.412596-4 1.548817-1 2.676893-4 1.757924-1 1.556491-4 2.018366-1 8.681787-5 2.290868-1 5.115087-5 2.570396-1 3.183823-5 2.884032-1 1.996489-5 3.198895-1 1.321278-5 3.548134-1 8.808579-6 3.935501-1 5.917923-6 4.315191-1 4.184414-6 4.731513-1 2.978846-6 5.248075-1 2.048081-6 5.688529-1 1.540775-6 6.025596-1 1.263994-6 6.456542-1 1.007546-6 6.998420-1 7.797241-7 7.673615-1 5.863696-7 8.000000-1 5.164400-7 8.511380-1 4.219311-7 8.912509-1 3.649864-7 9.332543-1 3.178430-7 9.660509-1 2.881294-7 1.000000+0 2.626900-7 1.035142+0 2.410285-7 1.071519+0 2.224325-7 1.109175+0 2.063290-7 1.161449+0 1.879504-7 1.216186+0 1.723302-7 1.303167+0 1.525022-7 1.412538+0 1.333157-7 1.500000+0 1.209800-7 1.883649+0 8.093537-8 2.065380+0 6.920154-8 2.398833+0 5.410613-8 2.786121+0 4.263650-8 3.198895+0 3.446813-8 3.715352+0 2.758353-8 4.365158+0 2.186993-8 5.128614+0 1.747315-8 6.095369+0 1.384811-8 7.328245+0 1.089209-8 8.810489+0 8.633290-9 1.083927+1 6.697614-9 1.348963+1 5.166139-9 1.698244+1 3.959164-9 2.264644+1 2.865018-9 2.985383+1 2.117789-9 4.315191+1 1.426570-9 6.531306+1 9.23473-10 1.096478+2 5.41302-10 2.113489+2 2.77572-10 4.216965+2 1.38213-10 1.678804+3 3.45418-11 1.000000+5 5.79040-13 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.500000+1 0.0 0.0 0.0 1.348000-5 1.348000-5 1.000000+5 1.348000-5 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.500000+1 0.0 0.0 0.0 1.348000-5 0.0 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.600000+1 0.0 0.0 0.0 1.195000-5 9.404946+5 1.216186-5 9.169868+5 1.273503-5 8.703621+5 1.318257-5 8.424845+5 1.365000-5 8.211640+5 1.412538-5 8.067754+5 1.445440-5 8.011267+5 1.490000-5 7.986920+5 1.531087-5 8.014149+5 1.570000-5 8.081360+5 1.621810-5 8.231488+5 1.670000-5 8.430600+5 1.717908-5 8.683250+5 1.770000-5 9.018120+5 1.830000-5 9.478440+5 1.883649-5 9.955938+5 1.950000-5 1.063128+6 2.018366-5 1.142276+6 2.089296-5 1.234513+6 2.187762-5 1.379359+6 2.300000-5 1.567720+6 2.454709-5 1.866137+6 2.818383-5 2.720636+6 3.000000-5 3.205932+6 3.162278-5 3.656274+6 3.311311-5 4.073349+6 3.467369-5 4.505704+6 3.589219-5 4.836017+6 3.758374-5 5.278068+6 3.935501-5 5.717719+6 4.120975-5 6.148585+6 4.315191-5 6.567222+6 4.570882-5 7.073747+6 4.841724-5 7.558545+6 5.080000-5 7.937960+6 5.370318-5 8.339214+6 5.623413-5 8.630208+6 5.821032-5 8.812169+6 6.070000-5 8.977520+6 6.309573-5 9.067549+6 6.531306-5 9.091137+6 6.760830-5 9.055288+6 7.000000-5 8.954800+6 7.244360-5 8.792859+6 7.500000-5 8.570920+6 7.762471-5 8.298131+6 8.035261-5 7.975419+6 8.317638-5 7.609050+6 8.609938-5 7.207036+6 8.912509-5 6.776778+6 9.225714-5 6.322833+6 9.500000-5 5.922360+6 9.800000-5 5.486720+6 1.011579-4 5.037305+6 1.040000-4 4.644720+6 1.071519-4 4.225758+6 1.102500-4 3.833117+6 1.135011-4 3.445604+6 1.170000-4 3.059716+6 1.205000-4 2.706368+6 1.240000-4 2.384720+6 1.277300-4 2.076104+6 1.315000-4 1.798880+6 1.350000-4 1.570472+6 1.390000-4 1.340036+6 1.428894-4 1.144169+6 1.465000-4 9.850160+5 1.500000-4 8.496040+5 1.531087-4 7.432486+5 1.566751-4 6.355829+5 1.604600-4 5.363081+5 1.640590-4 4.547343+5 1.678804-4 3.802800+5 1.705000-4 3.356664+5 1.740000-4 2.832592+5 1.770000-4 2.441972+5 1.800000-4 2.099652+5 1.835000-4 1.754932+5 1.865000-4 1.501204+5 1.905461-4 1.212322+5 1.940000-4 1.007840+5 1.995262-4 7.486690+4 2.060000-4 5.324560+4 2.090000-4 4.584880+4 2.113489-4 4.104169+4 2.137962-4 3.685773+4 2.160000-4 3.374252+4 2.180000-4 3.140256+4 2.198000-4 2.966076+4 2.213095-4 2.844669+4 2.230000-4 2.733564+4 2.245000-4 2.655512+4 2.260000-4 2.595520+4 2.275000-4 2.552420+4 2.292300-4 2.522240+4 2.307000-4 2.511904+4 2.323000-4 2.515492+4 2.341500-4 2.537474+4 2.358000-4 2.571940+4 2.380000-4 2.637724+4 2.400000-4 2.715324+4 2.426610-4 2.841846+4 2.454709-4 3.000646+4 2.490000-4 3.231096+4 2.650000-4 4.559800+4 2.710000-4 5.120720+4 2.770000-4 5.689960+4 2.830000-4 6.258600+4 2.884032-4 6.764224+4 2.930000-4 7.184960+4 3.000000-4 7.801160+4 3.060000-4 8.302280+4 3.126079-4 8.825383+4 3.198895-4 9.364954+4 3.273407-4 9.870970+4 3.349654-4 1.033939+5 3.440000-4 1.083808+5 3.540000-4 1.132136+5 3.630781-4 1.169513+5 3.758374-4 1.212913+5 3.890451-4 1.247333+5 4.027170-4 1.273046+5 4.168694-4 1.291248+5 4.315191-4 1.301328+5 4.466836-4 1.303641+5 4.623810-4 1.298694+5 4.786301-4 1.287109+5 5.012500-4 1.262591+5 5.248075-4 1.230942+5 5.495409-4 1.191635+5 5.754399-4 1.146177+5 6.095369-4 1.083079+5 6.456542-4 1.015514+5 6.839116-4 9.448793+4 7.244360-4 8.730488+4 7.673615-4 8.014435+4 8.128305-4 7.312276+4 8.637100-4 6.597517+4 9.225714-4 5.859815+4 9.885531-4 5.137803+4 1.059254-3 4.474637+4 1.135011-3 3.872268+4 1.230269-3 3.246020+4 1.333521-3 2.699691+4 1.445440-3 2.228716+4 1.584893-3 1.775698+4 1.717908-3 1.445509+4 1.862087-3 1.169237+4 2.041738-3 9.108402+3 2.238721-3 7.044150+3 2.454709-3 5.408448+3 2.691535-3 4.123442+3 2.951209-3 3.122255+3 3.235937-3 2.347683+3 3.548134-3 1.753204+3 3.890451-3 1.300593+3 4.315191-3 9.224956+2 4.731513-3 6.755268+2 5.069907-3 5.317413+2 5.495409-3 3.990114+2 6.095369-3 2.736670+2 7.161434-3 1.511696+2 8.035261-3 9.824735+1 9.015711-3 6.327044+1 1.011579-2 4.044227+1 1.135011-2 2.569004+1 1.273503-2 1.620238+1 1.396368-2 1.113963+1 1.566751-2 6.917563+0 1.778279-2 4.062888+0 2.041738-2 2.254908+0 2.344229-2 1.243221+0 2.722701-2 6.472428-1 3.126079-2 3.519566-1 3.715352-2 1.629949-1 4.570882-2 6.415509-2 6.237348-2 1.568041-2 9.332543-2 2.518477-3 1.174898-1 8.898848-4 1.348963-1 4.797193-4 1.513561-1 2.883801-4 1.717908-1 1.661678-4 1.927525-1 1.013619-4 2.187762-1 5.926073-5 2.426610-1 3.845834-5 2.691535-1 2.514727-5 2.951209-1 1.736300-5 3.235937-1 1.207637-5 3.548134-1 8.464502-6 3.845918-1 6.243442-6 4.168694-1 4.634123-6 4.518559-1 3.462533-6 4.897788-1 2.605846-6 5.308844-1 1.975863-6 5.688529-1 1.568724-6 6.025596-1 1.300827-6 6.456542-1 1.047621-6 6.918310-1 8.492105-7 7.498942-1 6.695233-7 8.035261-1 5.486167-7 8.511380-1 4.626525-7 9.015711-1 3.927782-7 9.440609-1 3.468043-7 9.885531-1 3.084137-7 1.035142+0 2.765557-7 1.083927+0 2.498513-7 1.135011+0 2.271745-7 1.202264+0 2.032091-7 1.303167+0 1.755409-7 1.428894+0 1.498196-7 1.513561+0 1.359264-7 1.840772+0 9.613916-8 2.044000+0 8.038500-8 2.371374+0 6.292803-8 2.754229+0 4.955831-8 3.162278+0 4.003983-8 3.672823+0 3.202383-8 4.315191+0 2.537617-8 5.069907+0 2.026370-8 6.025596+0 1.605197-8 7.244360+0 1.261934-8 8.709636+0 9.997625-9 1.071519+1 7.752780-9 1.333521+1 5.977371-9 1.698244+1 4.519663-9 2.264644+1 3.270595-9 2.985383+1 2.417655-9 4.315191+1 1.628478-9 6.456542+1 1.066984-9 1.059254+2 6.40192-10 2.000000+2 3.35100-10 3.981072+2 1.67186-10 1.584893+3 4.17749-11 1.000000+5 6.61010-13 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.600000+1 0.0 0.0 0.0 1.195000-5 1.195000-5 1.000000+5 1.195000-5 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.600000+1 0.0 0.0 0.0 1.195000-5 0.0 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 6.069000-5 3.813180+5 6.095369-5 3.766526+5 6.190000-5 3.579400+5 6.683439-5 2.677931+5 6.918310-5 2.359819+5 7.161434-5 2.091908+5 7.413102-5 1.866798+5 7.673615-5 1.677247+5 7.943282-5 1.516788+5 8.222426-5 1.379877+5 8.511380-5 1.261925+5 8.912509-5 1.127803+5 9.332543-5 1.014214+5 9.900000-5 8.918920+4 1.047129-4 7.949557+4 1.100000-4 7.228360+4 1.161449-4 6.554882+4 1.220000-4 6.041280+4 1.288250-4 5.560836+4 1.364583-4 5.131575+4 1.462177-4 4.693806+4 1.621810-4 4.141328+4 1.862087-4 3.532784+4 2.570396-4 2.482986+4 3.273407-4 1.889213+4 3.801894-4 1.584175+4 4.570882-4 1.266344+4 5.432503-4 1.018070+4 6.382635-4 8.250804+3 7.585776-4 6.538304+3 9.120108-4 5.060276+3 1.096478-3 3.883843+3 1.333521-3 2.907315+3 1.621810-3 2.158842+3 2.018366-3 1.535098+3 2.540973-3 1.063816+3 3.273407-3 7.048169+2 4.120975-3 4.812328+2 5.128614-3 3.325135+2 6.309573-3 2.325250+2 7.673615-3 1.646449+2 9.332543-3 1.157096+2 1.059254-2 9.164313+1 1.288250-2 6.341267+1 1.584893-2 4.261182+1 2.041738-2 2.597583+1 2.483133-2 1.760943+1 2.951209-2 1.240763+1 3.467369-2 8.874077+0 4.120975-2 6.150143+0 4.954502-2 4.126628+0 5.956621-2 2.747995+0 7.244360-2 1.769993+0 8.609938-2 1.192402+0 1.071519-1 7.168419-1 1.396368-1 3.838261-1 2.691535-1 8.011541-2 3.311311-1 4.918225-2 3.981072-1 3.209893-2 4.677351-1 2.224610-2 5.370318-1 1.635203-2 6.237348-1 1.180141-2 7.244360-1 8.581016-3 8.511380-1 6.139247-3 9.660509-1 4.752914-3 1.174898+0 3.238410-3 1.318257+0 2.598093-3 1.500000+0 2.044200-3 1.698244+0 1.636173-3 1.927525+0 1.313723-3 2.213095+0 1.042607-3 2.540973+0 8.332773-4 2.951209+0 6.587170-4 3.427678+0 5.250064-4 4.000000+0 4.186700-4 4.677351+0 3.353289-4 5.495409+0 2.687716-4 6.531306+0 2.136451-4 7.852356+0 1.685340-4 9.660509+0 1.301915-4 1.174898+1 1.027603-4 1.462177+1 7.947139-5 1.819701+1 6.186103-5 2.317395+1 4.719976-5 3.000000+1 3.559700-5 4.315191+1 2.410494-5 6.456542+1 1.579218-5 1.071519+2 9.364557-6 2.065380+2 4.800803-6 4.120975+2 2.390121-6 1.640590+3 5.972845-7 1.000000+5 9.784000-9 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 6.069000-5 6.069000-5 1.000000+5 6.069000-5 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 6.069000-5 0.0 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 3.964000-5 6.479820+6 4.030000-5 6.244340+6 4.150000-5 5.798680+6 4.518559-5 4.619101+6 4.841724-5 3.818007+6 5.150000-5 3.199780+6 5.432503-5 2.730403+6 5.821032-5 2.207992+6 7.161434-5 1.148486+6 8.000000-5 8.161000+5 9.120108-5 5.494452+5 1.303167-4 1.889496+5 1.513561-4 1.214993+5 1.720000-4 8.386960+4 1.927525-4 6.068641+4 2.150000-4 4.483660+4 2.350000-4 3.527540+4 2.540973-4 2.876444+4 2.730000-4 2.400260+4 2.917427-4 2.042353+4 3.150000-4 1.707404+4 3.350000-4 1.487628+4 3.589219-4 1.284048+4 3.845918-4 1.116897+4 4.120975-4 9.792798+3 4.415704-4 8.649865+3 4.731513-4 7.695405+3 5.069907-4 6.895115+3 5.432503-4 6.218117+3 5.888437-4 5.550351+3 6.456542-4 4.912830+3 7.161434-4 4.317602+3 8.128305-4 3.716159+3 1.333521-3 2.117214+3 1.584893-3 1.727825+3 1.862087-3 1.418746+3 2.162719-3 1.173435+3 2.511886-3 9.637211+2 2.917427-3 7.857134+2 3.388442-3 6.357202+2 3.890451-3 5.190882+2 4.466836-3 4.208098+2 5.011872-3 3.511243+2 5.754399-3 2.800190+2 6.531306-3 2.259875+2 7.413102-3 1.811368+2 8.413951-3 1.442012+2 9.660509-3 1.115959+2 1.148154-2 8.037332+1 1.333521-2 6.001951+1 1.531087-2 4.550481+1 1.737801-2 3.506750+1 1.949845-2 2.749357+1 2.238721-2 2.032728+1 2.570396-2 1.491244+1 2.951209-2 1.086003+1 3.427678-2 7.643855+0 3.981072-2 5.338641+0 4.623810-2 3.700548+0 5.432503-2 2.474736+0 6.382635-2 1.642812+0 7.673615-2 1.020277+0 9.440609-2 5.921581-1 1.188502-1 3.208165-1 2.238721-1 5.866913-2 2.754229-1 3.384844-2 3.273407-1 2.154328-2 3.845918-1 1.423336-2 4.415705-1 1.004626-2 5.069907-1 7.143800-3 5.754399-1 5.265122-3 6.456542-1 4.017978-3 7.244360-1 3.087748-3 8.413951-1 2.213469-3 9.225714-1 1.814656-3 1.000000+0 1.535600-3 1.135011+0 1.193793-3 1.273503+0 9.564717-4 1.428894+0 7.724480-4 1.659587+0 5.897106-4 1.883649+0 4.727048-4 2.137962+0 3.819400-4 2.483133+0 2.991638-4 2.884032+0 2.361676-4 3.311311+0 1.912606-4 3.845918+0 1.533156-4 4.518559+0 1.217579-4 5.308844+0 9.743696-5 6.309573+0 7.734005-5 7.585776+0 6.092100-5 9.225714+0 4.766791-5 1.122018+1 3.756015-5 1.396368+1 2.900756-5 1.737801+1 2.254623-5 2.290868+1 1.653693-5 2.985383+1 1.237979-5 4.315191+1 8.339148-6 6.456542+1 5.463542-6 1.071519+2 3.239752-6 2.041738+2 1.680351-6 4.073803+2 8.365211-7 1.621810+3 2.090344-7 1.000000+5 3.384800-9 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 3.964000-5 3.964000-5 1.000000+5 3.964000-5 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 3.964000-5 0.0 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 2.700000-5 1.604720+7 2.786121-5 1.425131+7 2.951209-5 1.158560+7 3.126079-5 9.494522+6 3.388442-5 7.251433+6 4.300000-5 3.307032+6 5.069907-5 1.917701+6 5.559043-5 1.422553+6 6.025596-5 1.103118+6 6.500000-5 8.750760+5 6.918310-5 7.279073+5 7.328245-5 6.176296+5 7.800000-5 5.202720+5 8.317638-5 4.393263+5 8.810489-5 3.801200+5 9.332543-5 3.310416+5 9.900000-5 2.891956+5 1.059254-4 2.496399+5 1.135011-4 2.165171+5 1.220000-4 1.880908+5 1.303167-4 1.665286+5 1.400000-4 1.469356+5 1.500000-4 1.311728+5 1.621810-4 1.162277+5 1.778279-4 1.016093+5 2.000000-4 8.636280+4 2.264644-4 7.328494+4 2.630268-4 6.064810+4 4.265795-4 3.336003+4 5.248075-4 2.564188+4 6.237348-4 2.045801+4 7.413102-4 1.619850+4 8.709636-4 1.293389+4 1.023293-3 1.025015+4 1.202264-3 8.062291+3 1.412538-3 6.293474+3 1.659587-3 4.874099+3 1.949845-3 3.747992+3 2.290868-3 2.860830+3 2.691535-3 2.167426+3 3.198895-3 1.596949+3 3.715352-3 1.217231+3 4.315191-3 9.212219+2 5.011872-3 6.919910+2 5.754399-3 5.276729+2 6.606934-3 3.995136+2 7.585776-3 3.001772+2 8.709636-3 2.239228+2 1.011579-2 1.617386+2 1.161449-2 1.190360+2 1.333521-2 8.695054+1 1.513561-2 6.473365+1 1.717908-2 4.782296+1 1.972423-2 3.410852+1 2.264644-2 2.414468+1 2.600160-2 1.696442+1 3.000000-2 1.168092+1 3.467369-2 7.942916+0 4.027170-2 5.289134+0 4.677351-2 3.494308+0 5.495409-2 2.218262+0 6.382635-2 1.444482+0 7.585776-2 8.738915-1 9.225714-2 4.906276-1 1.122019-1 2.735130-1 2.000000-1 4.806600-2 2.454709-1 2.610068-2 2.884032-1 1.625079-2 3.349654-1 1.054115-2 3.845918-1 7.122135-3 4.365158-1 5.009108-3 4.897788-1 3.662600-3 5.495409-1 2.697165-3 6.095369-1 2.061527-3 6.760830-1 1.586664-3 7.498942-1 1.229459-3 8.709636-1 8.573201-4 9.332543-1 7.305151-4 9.885531-1 6.429948-4 1.059254+0 5.559998-4 1.148154+0 4.730578-4 1.250000+0 4.020300-4 1.380384+0 3.350308-4 1.737801+0 2.221894-4 1.949845+0 1.820477-4 2.238721+0 1.445963-4 2.600160+0 1.135306-4 3.019952+0 8.984545-5 3.507519+0 7.169433-5 4.073803+0 5.762714-5 4.786301+0 4.589118-5 5.623413+0 3.682130-5 6.760830+0 2.886018-5 8.128305+0 2.280018-5 1.000000+1 1.763600-5 1.216186+1 1.393724-5 1.548817+1 1.050583-5 1.972423+1 7.984057-6 2.371374+1 6.503463-6 3.000000+1 5.030400-6 4.315191+1 3.406314-6 6.456542+1 2.231713-6 1.071519+2 1.323351-6 2.041738+2 6.863889-7 4.073803+2 3.416927-7 1.621810+3 8.538503-8 1.000000+5 1.382600-9 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 2.700000-5 2.700000-5 1.000000+5 2.700000-5 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 2.700000-5 0.0 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.600000+1 0.0 0.0 0.0 4.650000-6 2.740658+6 4.731513-6 2.810627+6 4.900000-6 2.930652+6 5.128614-6 3.071042+6 5.370318-6 3.194324+6 5.700000-6 3.329376+6 6.025596-6 3.430802+6 6.382635-6 3.516775+6 6.760830-6 3.581772+6 7.244360-6 3.633585+6 7.762471-6 3.661051+6 8.317638-6 3.664358+6 8.912509-6 3.641726+6 9.549926-6 3.592510+6 1.023293-5 3.517454+6 1.083927-5 3.432931+6 1.150000-5 3.324760+6 1.219000-5 3.199083+6 1.273503-5 3.091864+6 1.348963-5 2.934017+6 1.420000-5 2.779812+6 1.496236-5 2.611698+6 1.570000-5 2.449940+6 1.650000-5 2.278452+6 1.737801-5 2.097572+6 1.840772-5 1.898208+6 1.950000-5 1.704436+6 2.070000-5 1.513524+6 2.213095-5 1.314733+6 2.371374-5 1.128691+6 2.580000-5 9.297640+5 2.851018-5 7.326827+5 3.162278-5 5.680570+5 3.507519-5 4.375096+5 3.890451-5 3.342943+5 4.216965-5 2.694054+5 4.570882-5 2.156722+5 4.900000-5 1.768896+5 5.308844-5 1.398121+5 5.800000-5 1.068844+5 6.309573-5 8.218713+4 6.918310-5 6.125714+4 7.673615-5 4.368911+4 8.511380-5 3.091021+4 9.332543-5 2.253716+4 1.011579-4 1.695965+4 1.083927-4 1.321020+4 1.174898-4 9.805915+3 1.479108-4 4.110226+3 1.566751-4 3.325628+3 1.640590-4 2.822565+3 1.717908-4 2.410067+3 1.798871-4 2.072723+3 1.862087-4 1.861167+3 1.929400-4 1.675231+3 2.000000-4 1.515268+3 2.065380-4 1.410915+3 2.137962-4 1.315545+3 2.213095-4 1.234679+3 2.290868-4 1.166017+3 2.371374-4 1.107687+3 2.454709-4 1.058157+3 2.540973-4 1.016164+3 2.630268-4 9.806553+2 2.754229-4 9.418996+2 2.884032-4 9.114066+2 3.000000-4 8.908040+2 3.162278-4 8.727409+2 3.349654-4 8.590419+2 3.672823-4 8.451215+2 4.027170-4 8.336500+2 4.518559-4 8.075839+2 4.954502-4 7.818546+2 5.370318-4 7.541219+2 5.821032-4 7.222022+2 6.237348-4 6.916685+2 6.760830-4 6.529958+2 7.328245-4 6.119641+2 8.000000-4 5.657200+2 8.709636-4 5.204561+2 9.440609-4 4.776649+2 1.023293-3 4.355965+2 1.122018-3 3.890958+2 1.230269-3 3.448815+2 1.348963-3 3.034304+2 1.479108-3 2.650690+2 1.621810-3 2.300187+2 1.778279-3 1.982964+2 1.972423-3 1.665370+2 2.264644-3 1.310447+2 2.454709-3 1.131459+2 2.660725-3 9.682598+1 2.917427-3 8.044421+1 3.349654-3 6.050377+1 3.758374-3 4.736672+1 4.168694-3 3.773610+1 4.570882-3 3.062531+1 5.069907-3 2.404182+1 5.623413-3 1.873790+1 6.237348-3 1.449903+1 6.918310-3 1.113913+1 7.673615-3 8.499019+0 8.511380-3 6.440474+0 9.549926-3 4.696513+0 1.083927-2 3.291350+0 1.216186-2 2.364640+0 1.355400-2 1.720076+0 1.513561-2 1.233353+0 1.698244-2 8.653254-1 1.927525-2 5.813059-1 2.213095-2 3.736431-1 2.511886-2 2.473940-1 2.884032-2 1.565667-1 3.311311-2 9.831387-2 3.845918-2 5.891784-2 4.466836-2 3.504688-2 5.308844-2 1.909578-2 6.382635-2 9.916614-3 8.222426-2 3.990844-3 1.412538-1 5.656993-4 1.737801-1 2.693571-4 2.065380-1 1.461382-4 2.398833-1 8.659979-5 2.754229-1 5.380782-5 3.126079-1 3.503339-5 3.507519-1 2.387721-5 3.935501-1 1.639040-5 4.365158-1 1.176084-5 4.841724-1 8.497529-6 5.370318-1 6.184026-6 5.888437-1 4.695417-6 6.309573-1 3.842857-6 6.918310-1 2.964432-6 7.585776-1 2.303685-6 8.035261-1 1.973229-6 8.609938-1 1.632412-6 9.120108-1 1.402696-6 9.549926-1 1.249507-6 1.000000+0 1.120000-6 1.047129+0 1.010686-6 1.109175+0 8.954507-7 1.174898+0 7.988624-7 1.258925+0 7.016839-7 1.364583+0 6.073364-7 1.531087+0 4.972843-7 1.819701+0 3.662551-7 2.018366+0 3.066405-7 2.344229+0 2.394413-7 2.722701+0 1.884582-7 3.126079+0 1.521768-7 3.630781+0 1.216441-7 4.265795+0 9.633938-8 5.011872+0 7.688774-8 5.956621+0 6.087535-8 7.079458+0 4.854828-8 8.511380+0 3.842708-8 1.047129+1 2.977381-8 1.303167+1 2.293443-8 1.678804+1 1.710305-8 2.264644+1 1.221536-8 2.985383+1 9.029355-9 4.315191+1 6.082286-9 6.456542+1 3.984828-9 1.071519+2 2.362930-9 2.065380+2 1.211356-9 4.120975+2 6.03087-10 1.640590+3 1.50713-10 1.000000+5 2.46880-12 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.600000+1 0.0 0.0 0.0 4.650000-6 4.650000-6 1.000000+5 4.650000-6 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.600000+1 0.0 0.0 0.0 4.650000-6 0.0 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.700000+1 0.0 0.0 0.0 3.930000-6 6.129062+6 4.000000-6 6.204180+6 4.200000-6 6.354960+6 4.466836-6 6.492110+6 4.731513-6 6.571771+6 5.100000-6 6.616020+6 5.432503-6 6.609851+6 5.888437-6 6.554841+6 6.382635-6 6.456135+6 6.918310-6 6.317440+6 7.585776-6 6.117950+6 8.222426-6 5.910048+6 8.912509-6 5.670612+6 9.549926-6 5.441125+6 1.023293-5 5.186254+6 1.100000-5 4.894224+6 1.174898-5 4.606349+6 1.250000-5 4.318590+6 1.318257-5 4.059039+6 1.396368-5 3.769009+6 1.479108-5 3.474182+6 1.566751-5 3.177383+6 1.659587-5 2.883357+6 1.757924-5 2.597973+6 1.862087-5 2.324471+6 1.980000-5 2.049408+6 2.113489-5 1.780537+6 2.264644-5 1.523453+6 2.454709-5 1.260742+6 2.660725-5 1.036743+6 2.951209-5 8.002783+5 3.300000-5 6.004500+5 3.589219-5 4.811498+5 3.935501-5 3.750071+5 4.300000-5 2.927436+5 4.623810-5 2.374962+5 5.011872-5 1.868975+5 5.400000-5 1.486596+5 5.821032-5 1.173729+5 6.382635-5 8.715319+4 7.079458-5 6.183902+4 7.943282-5 4.187353+4 8.810489-5 2.924107+4 9.660509-5 2.109252+4 1.071519-4 1.447748+4 1.318257-4 6.726448+3 1.396368-4 5.463326+3 1.462177-4 4.649754+3 1.500000-4 4.262964+3 1.566751-4 3.712730+3 1.621810-4 3.343766+3 1.678804-4 3.025495+3 1.737801-4 2.750923+3 1.798871-4 2.514116+3 1.862087-4 2.310045+3 1.927525-4 2.134457+3 2.000000-4 1.974246+3 2.065380-4 1.875536+3 2.137962-4 1.786123+3 2.213095-4 1.711187+3 2.290868-4 1.648458+3 2.371374-4 1.596054+3 2.483133-4 1.539540+3 2.600160-4 1.495459+3 2.754229-4 1.453911+3 2.917427-4 1.423445+3 3.273407-4 1.373670+3 3.935501-4 1.306563+3 4.168694-4 1.278858+3 4.570882-4 1.226816+3 5.000000-4 1.169466+3 5.432503-4 1.110849+3 5.888437-4 1.049393+3 6.382635-4 9.839415+2 6.918310-4 9.160098+2 7.498942-4 8.471606+2 8.128305-4 7.784821+2 8.912509-4 7.014359+2 9.772372-4 6.271527+2 1.071519-3 5.565713+2 1.174898-3 4.903146+2 1.288250-3 4.288838+2 1.412538-3 3.725363+2 1.548817-3 3.213457+2 1.698244-3 2.752853+2 1.883649-3 2.295741+2 2.113489-3 1.860849+2 2.344229-3 1.529446+2 2.600160-3 1.248021+2 2.884032-3 1.010854+2 3.198895-3 8.126932+1 3.548134-3 6.485926+1 3.935501-3 5.138416+1 4.365158-3 4.041105+1 4.841724-3 3.154981+1 5.370318-3 2.445278+1 5.956621-3 1.881511+1 6.606934-3 1.437231+1 7.328245-3 1.089965+1 8.128305-3 8.208706+0 9.015711-3 6.140141+0 1.011579-2 4.414067+0 1.135011-2 3.151251+0 1.273503-2 2.232425+0 1.396368-2 1.683996+0 1.548817-2 1.217595+0 1.737801-2 8.429820-1 1.949845-2 5.794560-1 2.213095-2 3.812189-1 2.511886-2 2.489878-1 2.851018-2 1.614667-1 3.235937-2 1.039831-1 3.715352-2 6.386962-2 4.265795-2 3.895852-2 5.011872-2 2.171432-2 6.025596-2 1.104194-2 7.498942-2 4.899892-3 1.303167-1 6.214213-4 1.584893-1 3.007525-4 1.862087-1 1.666297-4 2.137962-1 1.011354-4 2.426610-1 6.443375-5 2.722701-1 4.306323-5 3.019952-1 3.015591-5 3.349654-1 2.126108-5 3.715352-1 1.510040-5 4.073803-1 1.121531-5 4.466836-1 8.386589-6 4.897788-1 6.315700-6 5.370318-1 4.790894-6 5.821032-1 3.786427-6 6.237348-1 3.112501-6 6.760830-1 2.493030-6 7.328245-1 2.009814-6 8.609938-1 1.322664-6 9.120108-1 1.145770-6 9.660509-1 9.993203-7 1.011579+0 9.010876-7 1.071519+0 7.971948-7 1.148154+0 6.936019-7 1.230269+0 6.076683-7 1.348963+0 5.132677-7 1.840772+0 2.961270-7 2.044000+0 2.477300-7 2.371374+0 1.939351-7 2.754229+0 1.527313-7 3.162278+0 1.233964-7 3.672823+0 9.869266-8 4.315191+0 7.820483-8 5.069907+0 6.244816-8 6.025596+0 4.946845-8 7.244360+0 3.888972-8 8.709636+0 3.081056-8 1.071519+1 2.389279-8 1.333521+1 1.842129-8 1.698244+1 1.392840-8 2.290868+1 9.952581-9 2.985383+1 7.450595-9 4.315191+1 5.018768-9 6.456542+1 3.288133-9 1.071519+2 1.949774-9 2.065380+2 9.99573-10 4.120975+2 4.97637-10 1.640590+3 1.24358-10 1.000000+5 2.03710-12 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.700000+1 0.0 0.0 0.0 3.930000-6 3.930000-6 1.000000+5 3.930000-6 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.700000+1 0.0 0.0 0.0 3.930000-6 0.0 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 6.180000-6 1.060908+7 6.456542-6 9.260313+6 8.035261-6 4.575139+6 9.549926-6 2.644114+6 1.109175-5 1.655862+6 1.288250-5 1.043986+6 1.479108-5 6.869338+5 1.659587-5 4.875554+5 1.862087-5 3.484462+5 2.070000-5 2.575740+5 2.264644-5 2.005287+5 2.483133-5 1.562329+5 2.694000-5 1.260947+5 2.917427-5 1.029455+5 3.162278-5 8.440714+4 3.427678-5 6.970797+4 3.715352-5 5.799935+4 4.027170-5 4.861389+4 4.400000-5 4.035820+4 4.800000-5 3.385720+4 5.248075-5 2.849953+4 5.754399-5 2.404508+4 6.309573-5 2.042633+4 6.918310-5 1.748041+4 7.673615-5 1.479139+4 8.609938-5 1.237952+4 9.800000-5 1.022922+4 1.109175-4 8.576883+3 1.258925-4 7.223188+3 1.391900-4 6.343510+3 1.621810-4 5.257196+3 1.927525-4 4.262905+3 2.213095-4 3.576861+3 3.090295-4 2.300654+3 4.027170-4 1.627735+3 4.954502-4 1.231651+3 7.244360-4 7.278207+2 8.413951-4 5.872464+2 1.071519-3 4.121457+2 1.303167-3 3.071272+2 1.603245-3 2.232444+2 2.000000-3 1.576132+2 2.540973-3 1.072914+2 3.126079-3 7.646257+1 4.897788-3 3.601174+1 6.025596-3 2.528900+1 7.413102-3 1.756152+1 9.015711-3 1.235558+1 1.096478-2 8.628460+0 1.333521-2 5.979178+0 1.603245-2 4.203050+0 1.927525-2 2.933176+0 2.317395-2 2.032096+0 2.786121-2 1.397521+0 3.349654-2 9.538855-1 4.027170-2 6.460432-1 4.841724-2 4.340188-1 5.821032-2 2.893688-1 6.998420-2 1.914159-1 8.511380-2 1.224592-1 1.035142-1 7.778575-2 1.333521-1 4.279174-2 2.187762-1 1.313502-2 2.884032-1 6.808044-3 3.507519-1 4.302233-3 4.120975-1 2.966845-3 4.841724-1 2.061398-3 5.623413-1 1.480447-3 6.456542-1 1.098280-3 7.413102-1 8.205541-4 8.511380-1 6.174127-4 9.772372-1 4.680785-4 1.202264+0 3.123009-4 1.364583+0 2.454670-4 1.531087+0 1.984593-4 1.737801+0 1.583293-4 1.972423+0 1.273173-4 2.290868+0 9.929620-5 2.660725+0 7.805758-5 3.054921+0 6.295311-5 3.548134+0 5.026350-5 4.168694+0 3.976202-5 4.897788+0 3.169955-5 5.821032+0 2.507127-5 6.998420+0 1.967974-5 8.413951+0 1.557005-5 1.035142+1 1.205856-5 1.288250+1 9.284844-6 1.659587+1 6.921081-6 2.264644+1 4.878655-6 2.985383+1 3.606276-6 4.315191+1 2.429200-6 6.456542+1 1.591529-6 1.059254+2 9.549245-7 2.018366+2 4.952398-7 4.027170+2 2.465143-7 1.603245+3 6.159889-8 1.000000+5 9.86010-10 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 6.180000-6 6.180000-6 1.000000+5 6.180000-6 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 6.180000-6 0.0 1.000000+5 1.000000+5 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 9.075710-7 1.025500+0 1.279440-6 1.025800+0 1.635630-6 1.026100+0 2.052100-6 1.026600+0 2.892980-6 1.027100+0 3.935970-6 1.027500+0 4.929750-6 1.028100+0 6.711770-6 1.028750+0 9.075710-6 1.029500+0 1.242040-5 1.030100+0 1.562010-5 1.031000+0 2.137360-5 1.032000+0 2.924450-5 1.033200+0 4.096650-5 1.034000+0 5.029020-5 1.035300+0 6.826180-5 1.036640+0 9.075710-5 1.038200+0 1.224800-4 1.039700+0 1.591260-4 1.041500+0 2.117150-4 1.043800+0 2.938670-4 1.046400+0 4.088610-4 1.048300+0 5.090440-4 1.051200+0 6.905070-4 1.054080+0 9.075710-4 1.057700+0 1.237070-3 1.061100+0 1.609120-3 1.065100+0 2.130290-3 1.070400+0 2.971960-3 1.076200+0 4.107220-3 1.080600+0 5.129240-3 1.087100+0 6.910820-3 1.093710+0 9.075710-3 1.102600+0 1.258370-2 1.110700+0 1.641220-2 1.120600+0 2.195570-2 1.133300+0 3.052980-2 1.147500+0 4.215450-2 1.158200+0 5.238770-2 1.174100+0 7.001330-2 1.190110+0 9.075710-2 1.205100+0 1.129430-1 1.227500+0 1.511280-1 1.250000+0 1.954000-1 1.280300+0 2.638810-1 1.307700+0 3.339620-1 1.343000+0 4.345510-1 1.382200+0 5.579460-1 1.411700+0 6.575740-1 1.455800+0 8.148970-1 1.500000+0 9.799000-1 1.562500+0 1.219860+0 1.641100+0 1.524620+0 1.706900+0 1.777120+0 1.811600+0 2.168320+0 1.937200+0 2.620530+0 2.000000+0 2.842000+0 2.044000+0 2.996000+0 2.163500+0 3.402590+0 2.372600+0 4.071050+0 2.686300+0 4.981500+0 3.000000+0 5.804000+0 3.500000+0 6.984690+0 4.000000+0 8.052000+0 5.000000+0 9.927000+0 6.000000+0 1.151000+1 7.000000+0 1.294000+1 8.000000+0 1.423000+1 9.000000+0 1.542000+1 1.000000+1 1.651000+1 1.100000+1 1.753000+1 1.200000+1 1.848000+1 1.300000+1 1.936000+1 1.400000+1 2.020000+1 1.500000+1 2.098000+1 1.600000+1 2.170000+1 1.800000+1 2.303000+1 2.000000+1 2.421000+1 2.200000+1 2.528000+1 2.400000+1 2.627000+1 2.600000+1 2.717000+1 2.800000+1 2.799000+1 3.000000+1 2.875000+1 4.000000+1 3.185000+1 5.000000+1 3.415000+1 6.000000+1 3.594000+1 8.000000+1 3.857000+1 1.000000+2 4.042000+1 1.500000+2 4.333000+1 2.000000+2 4.507000+1 3.000000+2 4.709000+1 4.000000+2 4.825000+1 5.000000+2 4.901000+1 6.000000+2 4.955000+1 8.000000+2 5.027000+1 1.000000+3 5.074000+1 1.500000+3 5.140000+1 2.000000+3 5.178000+1 3.000000+3 5.215000+1 4.000000+3 5.240000+1 5.000000+3 5.253000+1 6.000000+3 5.263000+1 8.000000+3 5.275000+1 1.000000+4 5.283000+1 1.500000+4 5.293000+1 2.000000+4 5.299000+1 3.000000+4 5.304000+1 4.000000+4 5.308000+1 5.000000+4 5.311000+1 6.000000+4 5.312000+1 8.000000+4 5.313000+1 1.000000+5 5.314000+1 1 96000 7 8 2.470000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 9.601790-7 2.090400+0 1.303680-6 2.094700+0 1.690420-6 2.099900+0 2.248870-6 2.106600+0 3.128370-6 2.114000+0 4.328490-6 2.119500+0 5.388940-6 2.127900+0 7.308430-6 2.136250+0 9.601790-6 2.147000+0 1.316470-5 2.156900+0 1.709940-5 2.169000+0 2.282020-5 2.184500+0 3.172090-5 2.201800+0 4.388680-5 2.214800+0 5.467950-5 2.234200+0 7.355360-5 2.253680+0 9.601790-5 2.281500+0 1.344900-4 2.307000+0 1.766520-4 2.338200+0 2.375240-4 2.377400+0 3.289410-4 2.410200+0 4.183580-4 2.446800+0 5.321750-4 2.485900+0 6.700380-4 2.532900+0 8.575060-4 2.556430+0 9.601790-4 2.611900+0 1.224340-3 2.660400+0 1.480180-3 2.745300+0 1.981140-3 2.809000+0 2.399280-3 2.904500+0 3.090880-3 3.000000+0 3.858000-3 3.125000+0 4.974430-3 3.234400+0 6.052230-3 3.425800+0 8.148440-3 3.569300+0 9.878860-3 3.784700+0 1.269500-2 4.000000+0 1.572000-2 4.250000+0 1.941500-2 4.625000+0 2.521570-2 5.000000+0 3.124000-2 5.500000+0 3.950300-2 6.000000+0 4.787000-2 6.750000+0 6.030440-2 7.000000+0 6.439000-2 8.000000+0 8.034000-2 9.000000+0 9.556000-2 1.000000+1 1.100000-1 1.100000+1 1.236000-1 1.200000+1 1.364000-1 1.300000+1 1.484000-1 1.400000+1 1.598000-1 1.500000+1 1.706000-1 1.600000+1 1.808000-1 1.800000+1 1.996000-1 2.000000+1 2.167000-1 2.200000+1 2.323000-1 2.400000+1 2.465000-1 2.600000+1 2.596000-1 2.800000+1 2.718000-1 3.000000+1 2.830000-1 4.000000+1 3.292000-1 5.000000+1 3.637000-1 6.000000+1 3.909000-1 8.000000+1 4.314000-1 1.000000+2 4.605000-1 1.500000+2 5.080000-1 2.000000+2 5.374000-1 3.000000+2 5.731000-1 4.000000+2 5.942000-1 5.000000+2 6.086000-1 6.000000+2 6.191000-1 8.000000+2 6.336000-1 1.000000+3 6.432000-1 1.500000+3 6.574000-1 2.000000+3 6.655000-1 3.000000+3 6.743000-1 4.000000+3 6.795000-1 5.000000+3 6.827000-1 6.000000+3 6.849000-1 8.000000+3 6.878000-1 1.000000+4 6.897000-1 1.500000+4 6.922000-1 2.000000+4 6.938000-1 3.000000+4 6.952000-1 4.000000+4 6.961000-1 5.000000+4 6.966000-1 6.000000+4 6.970000-1 8.000000+4 6.973000-1 1.000000+5 6.976000-1 1 96000 7 8 2.470000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 96000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 9.600000+1 1.000000+5 9.600000+1 5.000000+5 9.595600+1 1.000000+6 9.589500+1 1.375000+6 9.583630+1 1.500000+6 9.580900+1 1.875000+6 9.570460+1 2.000000+6 9.566400+1 2.375000+6 9.552230+1 2.500000+6 9.548000+1 2.875000+6 9.531950+1 3.000000+6 9.526100+1 3.437500+6 9.503460+1 3.812500+6 9.482610+1 4.000000+6 9.472600+1 4.500000+6 9.443170+1 4.875000+6 9.418640+1 5.000000+6 9.410900+1 5.500000+6 9.375290+1 5.875000+6 9.346940+1 6.437500+6 9.302730+1 6.500000+6 9.297480+1 7.000000+6 9.257300+1 7.875000+6 9.184730+1 9.000000+6 9.088600+1 1.000000+7 8.999800+1 1.250000+7 8.776100+1 1.500000+7 8.544200+1 1.750000+7 8.311700+1 2.000000+7 8.076600+1 2.250000+7 7.838950+1 2.500000+7 7.604100+1 2.875000+7 7.264240+1 3.000000+7 7.155500+1 3.500000+7 6.742440+1 4.000000+7 6.369000+1 4.500000+7 6.031020+1 4.750000+7 5.872710+1 5.000000+7 5.721700+1 5.750000+7 5.300070+1 6.000000+7 5.170100+1 6.750000+7 4.806360+1 7.000000+7 4.694300+1 8.000000+7 4.287800+1 9.000000+7 3.942100+1 1.000000+8 3.644000+1 1.125000+8 3.319110+1 1.218800+8 3.099390+1 1.250000+8 3.029800+1 1.359400+8 2.797270+1 1.437500+8 2.641290+1 1.453100+8 2.611040+1 1.500000+8 2.522100+1 1.625000+8 2.298250+1 1.750000+8 2.098470+1 2.000000+8 1.776500+1 2.171900+8 1.608600+1 2.289100+8 1.516560+1 2.429700+8 1.427850+1 2.500000+8 1.391400+1 2.625000+8 1.337470+1 2.859400+8 1.250550+1 2.875000+8 1.244720+1 3.000000+8 1.196600+1 3.125000+8 1.143560+1 3.500000+8 1.001800+1 3.812500+8 9.154700+0 3.937500+8 8.814260+0 4.000000+8 8.634500+0 4.125000+8 8.252770+0 4.234400+8 7.907570+0 4.425800+8 7.312960+0 4.750000+8 6.418670+0 4.856400+8 6.168260+0 5.000000+8 5.868200+0 5.125000+8 5.642020+0 5.343800+8 5.308990+0 5.630900+8 4.958400+0 6.000000+8 4.597900+0 6.500000+8 4.205060+0 7.000000+8 3.894900+0 7.625000+8 3.578390+0 7.875000+8 3.451920+0 8.000000+8 3.386100+0 8.250000+8 3.248540+0 8.468800+8 3.125370+0 8.851600+8 2.912270+0 9.500000+8 2.583100+0 1.000000+9 2.368400+0 1.062500+9 2.151480+0 1.117200+9 1.998570+0 1.186000+9 1.843150+0 1.243500+9 1.737670+0 1.250000+9 1.726920+0 1.307700+9 1.640130+0 1.376400+9 1.554460+0 1.458800+9 1.471880+0 1.500000+9 1.437000+0 2.000000+9 1.163700+0 2.139200+9 1.097760+0 2.272600+9 1.034950+0 2.357800+9 9.955950-1 2.522900+9 9.218830-1 2.677700+9 8.566100-1 2.750000+9 8.275480-1 2.890900+9 7.734370-1 3.086500+9 7.041850-1 3.325700+9 6.282880-1 3.535000+9 5.693520-1 3.718100+9 5.229530-1 4.038600+9 4.520780-1 4.278900+9 4.064870-1 4.639500+9 3.482210-1 5.000000+9 3.000900-1 5.375000+9 2.586190-1 5.703100+9 2.282000-1 6.277300+9 1.852770-1 7.031000+9 1.436400-1 7.677000+9 1.172980-1 8.000000+9 1.065300-1 9.000000+9 8.056630-2 1.00000+10 6.254600-2 1.27030+10 3.502610-2 1.55700+10 2.130170-2 2.15420+10 9.574790-3 3.13500+10 3.770520-3 1.00000+11 2.074800-4 1.68570+11 5.661240-5 3.34410+11 1.042060-5 8.62510+11 1.021730-6 2.83020+12 5.685250-8 1.00000+14 1.05170-11 3.16230+15 2.45351-15 1.00000+17 5.49750-19 1 96000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.24300-11 1.000000+2 1.243000-9 1.000000+3 1.243000-7 1.000000+4 1.243000-5 1.000000+5 1.243000-3 5.000000+5 3.107500-2 1.000000+6 1.243000-1 1.375000+6 2.325560-1 1.500000+6 2.756000-1 1.875000+6 4.237690-1 2.000000+6 4.792000-1 2.375000+6 6.621340-1 2.500000+6 7.283000-1 2.875000+6 9.401360-1 3.000000+6 1.014800+0 3.437500+6 1.288930+0 3.812500+6 1.538000+0 4.000000+6 1.666800+0 4.500000+6 2.020250+0 4.875000+6 2.290600+0 5.000000+6 2.381000+0 5.500000+6 2.739760+0 5.875000+6 3.006440+0 6.437500+6 3.401730+0 6.500000+6 3.445130+0 7.000000+6 3.791600+0 7.875000+6 4.387640+0 9.000000+6 5.134600+0 1.000000+7 5.783200+0 1.250000+7 7.432200+0 1.500000+7 9.115700+0 1.750000+7 1.074400+1 2.000000+7 1.235600+1 2.250000+7 1.390040+1 2.500000+7 1.538000+1 2.875000+7 1.750460+1 3.000000+7 1.818900+1 3.500000+7 2.079910+1 4.000000+7 2.322200+1 4.500000+7 2.547200+1 4.750000+7 2.655120+1 5.000000+7 2.760900+1 5.750000+7 3.066990+1 6.000000+7 3.166200+1 6.750000+7 3.454470+1 7.000000+7 3.548000+1 8.000000+7 3.905800+1 9.000000+7 4.238400+1 1.000000+8 4.543500+1 1.125000+8 4.881570+1 1.218800+8 5.106030+1 1.250000+8 5.175500+1 1.359400+8 5.400130+1 1.437500+8 5.546670+1 1.453100+8 5.574540+1 1.500000+8 5.657200+1 1.625000+8 5.864040+1 1.750000+8 6.055580+1 2.000000+8 6.403700+1 2.171900+8 6.621170+1 2.289100+8 6.760670+1 2.429700+8 6.919240+1 2.500000+8 6.995100+1 2.625000+8 7.123930+1 2.859400+8 7.347310+1 2.875000+8 7.361300+1 3.000000+8 7.469700+1 3.125000+8 7.570290+1 3.500000+8 7.834000+1 3.812500+8 8.016430+1 3.937500+8 8.081780+1 4.000000+8 8.113200+1 4.125000+8 8.172230+1 4.234400+8 8.220060+1 4.425800+8 8.299510+1 4.750000+8 8.418670+1 4.856400+8 8.453620+1 5.000000+8 8.499700+1 5.125000+8 8.536430+1 5.343800+8 8.598990+1 5.630900+8 8.672490+1 6.000000+8 8.758700+1 6.500000+8 8.860570+1 7.000000+8 8.949700+1 7.625000+8 9.044410+1 7.875000+8 9.077970+1 8.000000+8 9.094400+1 8.250000+8 9.123540+1 8.468800+8 9.148400+1 8.851600+8 9.187190+1 9.500000+8 9.242890+1 1.000000+9 9.279100+1 1.062500+9 9.316790+1 1.117200+9 9.344400+1 1.186000+9 9.372790+1 1.243500+9 9.393620+1 1.250000+9 9.395750+1 1.307700+9 9.413240+1 1.376400+9 9.431460+1 1.458800+9 9.450100+1 1.500000+9 9.458800+1 2.000000+9 9.529400+1 2.139200+9 9.541370+1 2.272600+9 9.550640+1 2.357800+9 9.555750+1 2.522900+9 9.565160+1 2.677700+9 9.571440+1 2.750000+9 9.574140+1 2.890900+9 9.578680+1 3.086500+9 9.583110+1 3.325700+9 9.588160+1 3.535000+9 9.590830+1 3.718100+9 9.592540+1 4.038600+9 9.595340+1 4.278900+9 9.596870+1 4.639500+9 9.597930+1 5.000000+9 9.598900+1 5.375000+9 9.599050+1 5.703100+9 9.599180+1 6.277300+9 9.599380+1 7.031000+9 9.599630+1 7.677000+9 9.599810+1 8.000000+9 9.599900+1 9.000000+9 9.599950+1 1.00000+10 9.600000+1 1.27030+10 9.600000+1 1.55700+10 9.600000+1 2.15420+10 9.600000+1 3.13500+10 9.600000+1 1.00000+11 9.600000+1 1.68570+11 9.600000+1 3.34410+11 9.600000+1 8.62510+11 9.600000+1 2.83020+12 9.600000+1 1.00000+14 9.600000+1 3.16230+15 9.600000+1 1.00000+17 9.600000+1 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.144099-6 0.0 1.149380-6 2.879972-1 1.149732-6 3.070203-1 1.152548-6 5.607976-1 1.155364-6 9.455818-1 1.158532-6 1.551983+0 1.163465-6 2.719701+0 1.166804-6 3.461961+0 1.169702-6 3.896656+0 1.172576-6 4.032673+0 1.175472-6 3.839195+0 1.178470-6 3.339825+0 1.183221-6 2.230150+0 1.186340-6 1.507576+0 1.189156-6 9.732387-1 1.191972-6 5.799806-1 1.194788-6 3.190521-1 1.198837-6 9.122898-2 1.200421-6 0.0 1.334181-6 0.0 1.340338-6 1.685583-1 1.340749-6 1.796920-1 1.344033-6 3.282222-1 1.347316-6 5.534277-1 1.351011-6 9.083406-1 1.356706-6 1.584667+0 1.360657-6 2.026208+0 1.364038-6 2.280625+0 1.367460-6 2.358323+0 1.370766-6 2.246994+0 1.374262-6 1.954724+0 1.379449-6 1.348794+0 1.383440-6 8.823502-1 1.386929-6 5.552613-1 1.390007-6 3.394495-1 1.393291-6 1.867340-1 1.398012-6 5.339426-2 1.399859-6 0.0 1.524750-6 0.0 1.528503-6 9.125832-8 1.532256-6 1.805751-7 1.536009-6 3.298351-7 1.539762-6 5.561473-7 1.540854-6 6.460215-7 1.548439-6 3.841880-6 1.552232-6 6.283579-6 1.556024-6 9.719703-6 1.559817-6 1.416544-5 1.567402-6 2.478123-5 1.571195-6 2.954841-5 1.574987-6 3.276350-5 1.578780-6 3.371671-5 1.582573-6 3.215567-5 1.586365-6 2.838909-5 1.597743-6 1.218936-5 1.601536-6 7.835112-6 1.605328-6 4.669166-6 1.609121-6 2.568547-6 1.612914-6 1.304336-6 1.616706-6 0.0 1.829206-6 0.0 1.833709-6 2.172792-8 1.838211-6 4.299357-8 1.842713-6 7.853127-8 1.847216-6 1.324145-7 1.851718-6 2.061021-7 1.858744-6 3.496936-7 1.861267-6 4.034012-7 1.865849-6 1.849144-2 1.870430-6 3.658903-2 1.875011-6 6.683242-2 1.879592-6 1.126882-1 1.884174-6 1.753979-1 1.897917-6 4.092487-1 1.902499-6 4.625403-1 1.907080-6 4.825761-1 1.911661-6 4.647678-1 1.916243-6 4.131999-1 1.923687-6 2.877768-1 1.929986-6 1.796622-1 1.934568-6 1.159836-1 1.939149-6 6.911795-2 1.943730-6 3.802235-2 1.950602-6 9.665436-3 1.952893-6 0.0 2.241918-6 0.0 2.247436-6 5.657905-7 2.252954-6 1.119543-6 2.258473-6 2.044937-6 2.263991-6 3.448045-6 2.269509-6 5.366854-6 2.275027-6 7.711174-6 2.280545-6 1.022763-5 2.286064-6 1.252228-5 2.291582-6 1.415292-5 2.297100-6 1.476598-5 2.302618-6 1.422108-5 2.308136-6 1.264319-5 2.313655-6 1.037612-5 2.324691-6 5.497347-6 2.330209-6 3.548896-6 2.335727-6 2.114888-6 2.341246-6 1.163417-6 2.346764-6 5.907961-7 2.352282-6 0.0 2.414344-6 0.0 2.420287-6 1.59143-14 2.426229-6 3.14900-14 2.432172-6 5.75190-14 2.438114-6 9.69849-14 2.444057-6 1.50956-13 2.450000-6 2.16896-13 2.455942-6 2.87678-13 2.461885-6 3.52221-13 2.467827-6 3.98086-13 2.473770-6 4.15330-13 2.479713-6 4.00004-13 2.485655-6 3.55622-13 2.489894-6 3.10164-13 2.502152-6 3.535470-8 2.508280-6 6.457805-8 2.514409-6 1.088873-7 2.519223-6 1.564589-7 2.521311-6 1.974688-7 2.531624-6 4.176007-7 2.537825-6 5.830370-7 2.546374-6 8.605404-7 2.562175-6 1.435836-6 2.574788-6 2.409499-2 2.581230-6 4.465628-2 2.587431-6 7.439883-2 2.594080-6 1.184708-1 2.612627-6 2.694879-1 2.618934-6 3.045799-1 2.625240-6 3.177731-1 2.631546-6 3.060464-1 2.637853-6 2.720892-1 2.656772-6 1.183062-1 2.663079-6 7.637436-2 2.669385-6 4.551365-2 2.675692-6 2.503743-2 2.681998-6 1.271428-2 2.688305-6 0.0 2.858931-6 0.0 2.869486-6 3.139614+0 2.873005-6 4.172877+0 2.880042-6 7.622101+0 2.887079-6 1.285191+1 2.894995-6 2.109383+1 2.907323-6 3.696492+1 2.915666-6 4.705337+1 2.922909-6 5.296153+1 2.929783-6 5.489824+1 2.937476-6 5.205625+1 2.944819-6 4.539335+1 2.956582-6 3.045563+1 2.964484-6 2.049027+1 2.971521-6 1.322781+1 2.978558-6 7.882827+0 2.985595-6 4.342604+0 2.994391-6 1.711370+0 2.999669-6 9.096656-2 3.006597-6 1.587066-1 3.013943-6 2.675879-1 3.021289-6 4.164794-1 3.033227-6 7.202955-1 3.043328-6 9.716417-1 3.050674-6 1.098130+0 3.058762-6 1.141399+0 3.066291-6 1.087968+0 3.073820-6 9.544349-1 3.094751-6 4.320061-1 3.102097-6 2.856568-1 3.109443-6 1.820577-1 3.116789-6 1.193662-1 3.131512-6 6.140745-2 3.144518-6 1.002692-1 3.153337-6 1.241508-1 3.162343-6 1.411775-1 3.170051-6 1.514928-1 3.179223-6 1.584833-1 3.193174-6 1.609761-1 3.201809-6 1.559634-1 3.209338-6 1.467510-1 3.216393-6 1.333870-1 3.224006-6 1.138633-1 3.238647-6 6.822272-2 3.247129-6 4.622227-2 3.254837-6 2.983975-2 3.262545-6 1.778271-2 3.270253-6 9.782866-3 3.279343-6 4.078966-3 3.283413-6 2.567196-3 3.285668-6 9.395887-3 3.299576-6 6.065810-2 3.307658-6 1.102364-1 3.316223-6 1.910119-1 3.324306-6 2.940514-1 3.348067-6 6.641785-1 3.357054-6 7.543364-1 3.364948-6 7.821488-1 3.372803-6 7.546635-1 3.382169-6 6.581618-1 3.386017-6 6.053630-1 3.402686-6 8.564288+0 3.411020-6 1.524089+1 3.419354-6 2.544134+1 3.429628-6 4.344175+1 3.453212-6 9.253962+1 3.462375-6 1.044782+2 3.469914-6 1.079970+2 3.478932-6 1.025938+2 3.487043-6 9.072826+1 3.511031-6 4.064277+1 3.519366-6 2.642480+1 3.527700-6 1.595078+1 3.536034-6 8.980434+0 3.550339-6 1.626076+0 3.552703-6 3.810891-1 3.570217-6 2.615578-1 3.573422-6 2.445934-1 3.581581-6 2.144691-1 3.590031-6 2.067310-1 3.599125-6 2.222488-1 3.616798-6 2.825397-1 3.622975-6 3.091406-1 3.631535-6 3.318750-1 3.640094-6 3.385731-1 3.674896-6 3.010612-1 3.683619-6 2.995941-1 3.701727-6 3.105110-1 3.716525-6 3.400836-1 3.723759-6 3.597118-1 3.732769-6 3.949902-1 3.741105-6 4.385104-1 3.764822-6 6.157888-1 3.776796-6 7.103458-1 3.787853-6 7.594328-1 3.796474-6 7.714170-1 3.806322-6 7.482485-1 3.820206-6 6.659369-1 3.845010-6 4.751414-1 3.861621-6 3.837726-1 3.881593-6 3.141204-1 3.891171-6 2.920054-1 3.913353-6 2.700722-1 3.925962-6 2.679167-1 3.943313-6 2.825636-1 3.978740-6 3.310183-1 4.000542-6 3.480404-1 4.020284-6 3.778848-1 4.030131-6 3.988017-1 4.040451-6 4.303268-1 4.050985-6 4.740565-1 4.079844-6 6.219060-1 4.090576-6 6.596373-1 4.100474-6 6.738526-1 4.110372-6 6.650693-1 4.121227-6 6.317874-1 4.158629-6 4.641061-1 4.168537-6 4.378579-1 4.183859-6 4.206576-1 4.197529-6 4.205519-1 4.215284-6 4.586545-1 4.245345-6 5.533409-1 4.266906-6 5.895836-1 4.277231-6 5.882229-1 4.317078-6 5.282967-1 4.327326-6 5.244916-1 4.384618-6 5.667819-1 4.570898-6 5.924707-1 4.653864-6 6.011868-1 4.656262-6 6.020482-1 4.679186-6 7.327956-1 4.690945-6 8.419925-1 4.704403-6 1.037772+0 4.718710-6 1.325054+0 4.749584-6 2.011050+0 4.761141-6 2.179350+0 4.772929-6 2.227737+0 4.784840-6 2.141718+0 4.801575-6 1.848268+0 4.804655-6 1.802355+0 4.828833-6 2.145712+0 4.840180-6 2.631632+0 4.851762-6 3.530776+0 4.864249-6 4.990867+0 4.900220-6 1.028717+1 4.911769-6 1.141130+1 4.922710-6 1.181471+1 4.935494-6 1.127397+1 4.949669-6 9.689263+0 4.981463-6 4.835812+0 4.993288-6 3.365929+0 5.005113-6 2.284727+0 5.016937-6 1.568100+0 5.040587-6 6.935819-1 5.263964-6 7.338981-1 5.302834-6 7.903097-1 5.326915-6 8.684451-1 5.353138-6 1.260360+0 5.368067-6 1.597351+0 5.382404-6 2.040052+0 5.400975-6 2.773135+0 5.429667-6 3.950980+0 5.446976-6 4.386382+0 5.459932-6 4.438672+0 5.472892-6 4.232260+0 5.486711-6 3.763860+0 5.523588-6 2.104676+0 5.536699-6 1.636673+0 5.549811-6 1.294291+0 5.562922-6 1.071963+0 5.578717-6 9.146897-1 5.589145-6 8.577690-1 5.606180-6 9.552437-1 5.620491-6 1.087090+0 5.637540-6 1.327156+0 5.655899-6 1.670146+0 5.688567-6 2.325109+0 5.702299-6 2.498317+0 5.716030-6 2.552920+0 5.733262-6 2.459793+0 5.757980-6 2.120608+0 5.771761-6 1.908953+0 5.785761-6 1.755198+0 5.799761-6 1.682617+0 5.816307-6 1.708523+0 5.846082-6 1.867328+0 5.874238-6 1.964476+0 5.942275-6 1.877181+0 6.112758-6 1.827733+0 6.211508-6 1.941506+0 6.296021-6 1.821528+0 6.475603-6 1.772659+0 7.721232-6 1.648856+0 7.759241-6 2.984344+0 7.779434-6 4.193275+0 7.798439-6 5.906895+0 7.818631-6 8.404710+0 7.873864-6 1.666195+1 7.894949-6 1.865115+1 7.914481-6 1.917029+1 7.932029-6 1.845505+1 7.952705-6 1.625575+1 8.006304-6 8.201935+0 8.025309-6 5.873312+0 8.044314-6 4.159285+0 8.063319-6 3.021737+0 8.101328-6 1.630136+0 8.545488-6 1.628344+0 8.587639-6 2.665029+0 8.608672-6 3.525719+0 8.630361-6 4.879858+0 8.653481-6 6.884151+0 8.714151-6 1.314935+1 8.737237-6 1.465412+1 8.757171-6 1.508883+1 8.780051-6 1.437578+1 8.801084-6 1.281682+1 8.860401-6 6.642721+0 8.881433-6 4.857701+0 8.902466-6 3.543796+0 8.923498-6 2.671789+0 8.965562-6 1.605047+0 9.262086-6 1.599026+0 9.330478-6 1.724315+0 9.376073-6 1.928814+0 9.444465-6 2.369647+0 9.467263-6 2.470024+0 9.490060-6 2.507669+0 9.524256-6 2.425014+0 9.626845-6 1.812707+0 9.672440-6 1.664638+0 9.718034-6 1.592079+0 1.024044-5 1.584743+0 1.031683-5 1.673908+0 1.037791-5 1.862521+0 1.045469-5 2.159163+0 1.049250-5 2.220552+0 1.053031-5 2.162268+0 1.064373-5 1.732070+0 1.069414-5 1.627899+0 1.076708-5 1.576514+0 1.089891-5 1.633390+0 1.103221-5 1.814142+0 1.111347-5 1.795270+0 1.122133-5 1.699940+0 1.138823-5 1.730783+0 1.172818-5 1.684517+0 1.184128-5 1.687558+0 1.192452-5 1.818066+0 1.201727-5 2.011888+0 1.207261-5 2.030970+0 1.224368-5 1.758681+0 1.233046-5 1.705098+0 1.249038-5 1.763431+0 1.262410-5 1.841660+0 1.284960-5 1.779421+0 1.353324-5 1.743690+0 1.456338-5 1.728123+0 1.862087-5 1.615166+0 2.128938-5 1.648872+0 2.181700-5 1.669542+0 2.192440-5 3.731944+0 2.197810-5 5.435572+0 2.203180-5 8.017134+0 2.208550-5 1.154647+1 2.224660-5 2.470566+1 2.230030-5 2.770544+1 2.236071-5 2.871062+1 2.241441-5 2.747547+1 2.247051-5 2.421623+1 2.253425-5 1.913223+1 2.263951-5 2.723165+1 2.264518-5 2.773733+1 2.270064-5 3.887847+1 2.275958-5 6.020882+1 2.281654-5 9.009529+1 2.298144-5 1.982682+2 2.304241-5 2.236173+2 2.309576-5 2.303582+2 2.315649-5 2.176376+2 2.321848-5 1.866162+2 2.336623-5 8.735051+1 2.342169-5 5.702137+1 2.347716-5 3.470118+1 2.353262-5 1.989331+1 2.363445-5 3.302512+0 2.364355-5 1.790479+0 2.436343-5 1.858958+0 2.448336-5 2.186480+0 2.454333-5 2.453349+0 2.460330-5 2.855503+0 2.466907-5 3.467697+0 2.484391-5 5.447448+0 2.490313-5 5.908404+0 2.496310-5 6.088191+0 2.503875-5 5.832752+0 2.517677-5 5.188446+0 2.523844-5 5.074446+0 2.530010-5 5.348356+0 2.534347-5 5.857737+0 2.540096-5 6.866391+0 2.554677-5 1.008656+1 2.562401-5 1.137718+1 2.567969-5 1.188176+1 2.575657-5 1.168134+1 2.586824-5 1.037053+1 2.599245-5 8.765380+0 2.605719-5 8.354047+0 2.616970-5 8.292512+0 2.635106-5 8.642282+0 2.647879-5 8.715209+0 2.695247-5 8.268554+0 3.028657-5 7.482218+0 3.343187-5 7.366642+0 3.423993-5 7.411631+0 3.440848-5 1.677451+1 3.449803-5 2.524049+1 3.458230-5 3.723434+1 3.467185-5 5.471040+1 3.491415-5 1.120512+2 3.501206-5 1.265067+2 3.509456-5 1.301693+2 3.517471-5 1.250591+2 3.526374-5 1.101873+2 3.550409-5 5.344843+1 3.558836-5 3.718632+1 3.567264-5 2.522050+1 3.575692-5 1.728450+1 3.592547-5 7.590453+0 3.696734-5 7.824133+0 3.724978-5 8.192220+0 3.752295-5 8.855553+0 3.784353-5 9.801675+0 3.830889-5 1.198779+1 3.849043-5 1.228686+1 3.892692-5 1.180907+1 3.984956-5 1.223486+1 4.068721-5 1.203387+1 4.800000-5 1.319236+1 5.699860-5 1.540971+1 5.832098-5 1.637254+1 5.947643-5 1.620662+1 6.569011-5 1.745299+1 7.349725-5 1.815643+1 8.128505-5 1.791695+1 9.349455-5 1.609235+1 1.090313-4 1.237748+1 1.097022-4 1.345099+1 1.101048-4 1.481830+1 1.105724-4 1.758049+1 1.111167-4 3.895387+1 1.113889-4 5.490564+1 1.116610-4 7.763314+1 1.119699-4 1.125006+2 1.126752-4 2.052298+2 1.128052-4 2.201470+2 1.131003-4 2.411337+2 1.133524-4 2.448898+2 1.136182-4 2.323100+2 1.139102-4 2.019432+2 1.146548-4 9.765574+1 1.149270-4 6.684773+1 1.151991-4 4.415543+1 1.154713-4 2.907703+1 1.160156-4 1.058729+1 1.200252-4 9.707688+0 1.201565-4 9.714768+0 1.207489-4 2.234969+1 1.210488-4 3.304213+1 1.213724-4 5.102605+1 1.217028-4 7.619394+1 1.225193-4 1.493365+2 1.229012-4 1.700350+2 1.231891-4 1.733854+2 1.234879-4 1.641116+2 1.238036-4 1.427351+2 1.246240-4 6.901473+1 1.249020-4 4.881936+1 1.251842-4 3.352925+1 1.254800-4 2.291127+1 1.260715-4 9.969633+0 1.306765-4 1.047915+1 1.317643-4 1.105534+1 1.330191-4 1.198098+1 1.340375-4 1.204697+1 1.355245-4 1.170847+1 1.453964-4 1.174930+1 1.508253-4 1.105793+1 1.688496-4 7.428238+0 1.792453-4 5.791293+0 1.891178-4 4.594099+0 1.988031-4 3.722846+0 2.076962-4 3.138205+0 2.184500-4 2.636028+0 2.242090-4 2.446952+0 2.319742-4 2.259099+0 2.337532-4 2.319455+0 2.350000-4 2.456000+0 2.384206-4 3.094900+0 2.397607-4 3.211296+0 2.630268-4 3.028693+0 2.864719-4 3.050852+0 3.031890-4 3.176326+0 3.054540-4 3.287879+0 3.069932-4 3.476595+0 3.100346-4 3.997444+0 3.114473-4 4.093158+0 3.180561-4 3.832456+0 3.760545-4 4.244324+0 3.845918-4 4.593256+0 4.216965-4 4.796445+0 4.716049-4 5.098396+0 4.763785-4 5.341211+0 4.822384-4 6.038256+0 4.845570-4 6.114439+0 4.902375-4 5.972693+0 4.974514-4 6.517941+0 5.074597-4 6.205325+0 5.173750-4 6.450848+0 5.259741-4 6.983183+0 5.336385-4 7.862133+0 5.419736-4 9.389988+0 5.509991-4 1.176158+1 5.633983-4 1.607766+1 5.965000-4 2.918606+1 6.148836-4 3.461371+1 6.359803-4 3.875261+1 6.618830-4 4.150735+1 7.140852-4 4.337966+1 8.126876-4 4.220047+1 8.328891-4 4.173331+1 8.391364-4 4.327537+1 8.434247-4 4.602244+1 8.514443-4 5.235316+1 8.555674-4 5.229489+1 8.659643-4 4.555350+1 8.738926-4 4.421747+1 8.895629-4 4.493785+1 8.962231-4 4.690506+1 9.047150-4 5.032203+1 9.113548-4 4.947779+1 9.216628-4 4.603600+1 1.173360-3 3.955326+1 1.198428-3 4.105210+1 1.466757-3 3.398585+1 1.656064-3 3.055770+1 2.074521-3 2.412105+1 2.449759-3 1.983194+1 2.862163-3 1.638978+1 3.368992-3 1.332326+1 3.906682-3 1.098502+1 3.926353-3 1.171288+1 3.935529-3 1.231856+1 3.945843-3 1.342933+1 3.956226-3 1.505899+1 3.977682-3 1.973399+1 3.994625-3 2.366897+1 4.004268-3 2.534342+1 4.013910-3 2.640169+1 4.033157-3 2.672552+1 4.093798-3 2.417916+1 4.122672-3 2.389101+1 4.153461-3 2.464609+1 4.174550-3 2.629311+1 4.224647-3 3.274760+1 4.246686-3 3.364370+1 4.343227-3 3.124213+1 4.744815-3 2.739860+1 4.796762-3 2.824413+1 4.857830-3 3.003848+1 4.974919-3 2.955052+1 5.800635-3 2.338912+1 5.918820-3 2.327351+1 6.046183-3 2.330909+1 6.265897-3 2.231340+1 6.453366-3 2.207866+1 7.454244-3 1.791297+1 8.669007-3 1.431786+1 9.903104-3 1.171728+1 1.104744-2 9.915023+0 1.264373-2 8.059149+0 1.453136-2 6.487115+0 1.662724-2 5.252679+0 1.855156-2 4.434724+0 1.868301-2 4.550365+0 1.876685-2 4.867363+0 1.884093-2 5.426148+0 1.893228-2 6.482194+0 1.907862-2 8.365580+0 1.916298-2 9.095422+0 1.928389-2 9.549354+0 1.969220-2 9.402843+0 2.253656-2 7.494646+0 2.336796-2 7.114072+0 2.355845-2 7.405627+0 2.396874-2 9.192625+0 2.449415-2 9.853634+0 2.484229-2 1.038048+1 2.954928-2 8.062263+0 3.393321-2 6.506657+0 3.890451-2 5.239265+0 4.308985-2 4.446593+0 4.820649-2 3.708498+0 5.424691-2 3.058655+0 6.168079-2 2.475286+0 6.999196-2 2.007450+0 7.939058-2 1.626424+0 8.987106-2 1.322004+0 1.012406-1 1.082191+0 1.148791-1 8.750446-1 1.259280-1 7.566845-1 1.265780-1 7.803030-1 1.270423-1 8.391160-1 1.274020-1 9.291441-1 1.277535-1 1.067389+0 1.281520-1 1.290002+0 1.289494-1 1.880590+0 1.296853-1 2.395274+0 1.303249-1 2.673198+0 1.311995-1 2.811442+0 1.375448-1 2.659102+0 1.573851-1 2.164306+0 1.804674-1 1.754875+0 2.022023-1 1.474164+0 2.304093-1 1.207270+0 2.611675-1 9.994056-1 2.945508-1 8.353298-1 3.349654-1 6.931032-1 3.818783-1 5.760183-1 4.373816-1 4.782244-1 5.031746-1 3.980177-1 5.821032-1 3.317063-1 6.732269-1 2.790292-1 7.779246-1 2.369478-1 9.054720-1 2.016163-1 1.120601+0 1.607749-1 1.286622+0 1.371658-1 1.477239+0 1.170236-1 1.696098+0 9.983914-2 1.947381+0 8.517818-2 2.235892+0 7.267013-2 2.567148+0 6.199882-2 2.947480+0 5.289456-2 3.384160+0 4.512722-2 3.885536+0 3.850047-2 4.496376+0 3.256342-2 5.363532+0 2.657849-2 6.158159+0 2.267555-2 7.070513+0 1.934574-2 8.118035+0 1.650490-2 9.320751+0 1.408123-2 9.760024+0 1.335518-2 1.000000+1 2.796649-2 1 96000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-9.557660+1 1.149732-6-9.379828+1 1.168124-6-9.433444+1 1.175907-6-9.536377+1 1.191972-6-9.439184+1 1.254806-6-9.585878+1 1.363592-6-9.518554+1 2.297100-6-9.374477+1 2.709633-6-8.933313+1 2.812828-6-8.396368+1 2.850020-6-7.796053+1 2.889498-6-6.085259+1 2.897689-6-5.965382+1 2.904726-6-6.145873+1 2.913742-6-6.868356+1 2.922909-6-8.177497+1 2.929783-6-9.340617+1 2.937083-6-8.689722+1 2.946741-6-7.422716+1 2.953984-6-6.867957+1 2.963742-6-6.675726+1 2.977019-6-7.104493+1 3.009811-6-8.582484+1 3.047001-6-9.169191+1 3.131512-6-9.581435+1 3.285668-6-8.648841+1 3.348067-6-7.781723+1 3.374824-6-7.014305+1 3.385536-6-6.386764+1 3.388974-6-6.076073+1 3.402686-6-5.133023+1 3.412062-6-4.360084+1 3.421067-6-3.718708+1 3.429628-6-3.453963+1 3.433687-6-3.495787+1 3.439960-6-3.830020+1 3.446295-6-4.472774+1 3.451342-6-5.267472+1 3.460614-6-7.422580+1 3.468740-6-9.610609+1 3.480596-6-6.270738+1 3.488298-6-4.561960+1 3.492758-6-3.869528+1 3.498824-6-3.198419+1 3.504022-6-2.858235+1 3.507088-6-2.759318+1 3.510046-6-2.751398+1 3.518324-6-3.056044+1 3.527700-6-3.725017+1 3.541600-6-4.794058+1 3.552703-6-5.588544+1 3.561083-6-6.163746+1 3.581581-6-6.906335+1 3.616798-6-7.582493+1 3.701727-6-8.292398+1 3.845010-6-8.709367+1 4.245345-6-9.167884+1 4.819645-6-9.657161+1 4.883815-6-9.487704+1 4.905372-6-9.612972+1 4.957154-6-8.714896+1 4.996244-6-8.686678+1 5.104865-6-9.134802+1 5.426934-6-9.455015+1 5.523588-6-9.125411+1 5.698866-6-9.360055+1 7.476000-6-9.578226+1 7.690101-6-9.376562+1 7.830584-6-8.767053+1 7.873864-6-9.118457+1 7.904519-6-9.557125+1 7.963910-6-8.524679+1 8.006304-6-8.350154+1 8.167436-6-9.055115+1 8.551644-6-9.528670+1 8.673270-6-9.191006+1 8.733359-6-9.534887+1 8.811867-6-8.565101+1 8.876175-6-8.449771+1 9.039898-6-8.962098+1 9.490060-6-9.181972+1 1.597131-5-9.548031+1 1.930039-5-9.032376+1 2.065697-5-8.392900+1 2.135533-5-7.604544+1 2.168381-5-6.854037+1 2.183237-5-6.216706+1 2.210075-5-4.698088+1 2.219290-5-4.472779+1 2.224660-5-4.515921+1 2.237246-5-4.873754+1 2.242616-5-4.885424+1 2.247847-5-4.628432+1 2.251660-5-4.138080+1 2.253425-5-3.725138+1 2.255237-5-3.276651+1 2.260497-5-2.260428+1 2.263384-5-1.608966+1 2.264518-5-1.281792+1 2.265211-5-1.067455+1 2.268851-5-1.380817+0 2.269458-5 3.402319-1 2.270064-5 2.442848+0 2.270411-5 3.730507+0 2.275611-5 1.683587+1 2.275958-5 1.795749+1 2.276608-5 1.948558+1 2.277745-5 2.154270+1 2.281654-5 2.706656+1 2.283399-5 2.783741+1 2.284824-5 2.733010+1 2.285893-5 2.642419+1 2.287496-5 2.429859+1 2.289100-5 2.132516+1 2.290187-5 1.879860+1 2.291971-5 1.361261+1 2.292699-5 1.112267+1 2.293973-5 6.205045+0 2.294929-5 2.001561+0 2.295646-5-1.483295+0 2.296184-5-4.314253+0 2.296990-5-8.999587+0 2.297595-5-1.304854+1 2.298144-5-1.740030+1 2.301394-5-3.993687+1 2.303069-5-5.351686+1 2.304241-5-6.481048+1 2.308145-5-9.788049+1 2.309576-5-8.268415+1 2.315126-5-3.565825+1 2.315649-5-3.065718+1 2.316862-5-2.112675+1 2.317853-5-1.412697+1 2.320824-5 5.740175+0 2.321181-5 8.301275+0 2.321848-5 1.238614+1 2.323017-5 1.862865+1 2.323894-5 2.279568+1 2.326523-5 3.345849+1 2.328890-5 4.076800+1 2.331548-5 4.623049+1 2.333768-5 4.869791+1 2.335909-5 4.892004+1 2.340802-5 4.321603+1 2.347109-5 2.929403+1 2.347716-5 2.738404+1 2.353262-5 1.297452+1 2.353728-5 1.152835+1 2.355474-5 7.283397+0 2.360713-5-3.743618+0 2.362534-5-7.857258+0 2.363445-5-1.020126+1 2.363900-5-1.152912+1 2.364612-5-1.419346+1 2.365737-5-1.735742+1 2.367836-5-2.190105+1 2.372110-5-2.897041+1 2.377808-5-3.608088+1 2.386872-5-4.444279+1 2.400602-5-5.335186+1 2.423023-5-6.304775+1 2.463618-5-7.483732+1 2.490313-5-7.823545+1 2.522302-5-8.121359+1 2.549527-5-8.543185+1 2.590972-5-8.109321+1 2.647879-5-8.398093+1 3.187640-5-9.490874+1 3.263678-5-9.703234+1 3.352972-5-8.913442+1 3.395475-5-8.047483+1 3.415594-5-7.234039+1 3.423993-5-6.593852+1 3.440848-5-5.225331+1 3.450790-5-4.307854+1 3.460946-5-3.556756+1 3.467185-5-3.317833+1 3.472485-5-3.367617+1 3.477456-5-3.615002+1 3.482209-5-4.111660+1 3.488748-5-5.186406+1 3.496879-5-7.155807+1 3.505590-5-9.752930+1 3.511500-5-7.772421+1 3.519265-5-5.375497+1 3.526374-5-3.542790+1 3.530452-5-2.759530+1 3.534073-5-2.234514+1 3.536401-5-1.961244+1 3.540189-5-1.609543+1 3.542744-5-1.441972+1 3.546097-5-1.308971+1 3.548253-5-1.282332+1 3.549331-5-1.291667+1 3.556729-5-1.576559+1 3.558836-5-1.732546+1 3.566342-5-2.311939+1 3.578589-5-3.443920+1 3.590440-5-4.338977+1 3.595014-5-4.818948+1 3.605935-5-5.482548+1 3.627893-5-6.253053+1 3.662895-5-6.949712+1 3.744699-5-7.824167+1 3.826659-5-8.168155+1 4.800000-5-8.463973+1 5.983390-5-8.403268+1 8.568199-5-7.935345+1 9.205855-5-8.024061+1 9.952858-5-7.215693+1 1.036971-4-6.407504+1 1.058540-4-5.691535+1 1.073669-4-4.892527+1 1.082996-4-4.143918+1 1.089284-4-3.419555+1 1.094339-4-2.614151+1 1.097022-4-2.084529+1 1.099706-4-1.452071+1 1.101048-4-1.087067+1 1.102390-4-6.785568+0 1.103061-4-4.550896+0 1.103732-4-2.097575+0 1.104230-4-1.120339-1 1.104977-4 3.200317+0 1.105350-4 5.132481+0 1.105537-4 6.236723+0 1.105935-4 9.146425+0 1.106330-4 1.135705+1 1.107023-4 1.463450+1 1.110650-4 2.924400+1 1.114229-4 4.636522+1 1.116951-4 5.671110+1 1.119699-4 6.147042+1 1.120988-4 6.009846+1 1.121976-4 5.713484+1 1.123387-4 5.034084+1 1.124861-4 3.968090+1 1.126375-4 2.440571+1 1.127036-4 1.684363+1 1.127460-4 1.140521+1 1.127779-4 6.805078+0 1.128052-4 2.186280+0 1.129625-4-2.116326+1 1.130303-4-3.246011+1 1.131003-4-4.629611+1 1.132791-4-7.683298+1 1.133524-4-6.151998+1 1.135936-4-1.921473+1 1.136182-4-1.439630+1 1.136487-4-9.287687+0 1.136753-4-5.131321+0 1.137220-4 1.708828+0 1.138444-4 1.856218+1 1.138787-4 2.375201+1 1.139102-4 2.779185+1 1.140065-4 3.817905+1 1.141638-4 5.183781+1 1.142666-4 5.809180+1 1.143987-4 6.282038+1 1.145828-4 6.477315+1 1.148589-4 5.852727+1 1.151694-4 4.377038+1 1.155053-4 2.440164+1 1.156541-4 1.707609+1 1.158795-4 6.798341+0 1.159476-4 3.278595+0 1.159816-4 1.289066+0 1.159986-4 1.716862-1 1.160156-4-1.199513+0 1.160278-4-2.224393+0 1.160520-4-3.818204+0 1.160996-4-6.455262+0 1.161457-4-8.687504+0 1.161904-4-1.065675+1 1.162770-4-1.409188+1 1.164413-4-1.966595+1 1.166395-4-2.534242+1 1.169486-4-3.271567+1 1.174247-4-4.198841+1 1.193802-4-7.381711+1 1.195642-4-7.746572+1 1.200252-4-6.598682+1 1.203560-4-5.334540+1 1.207285-4-4.117219+1 1.211033-4-2.672868+1 1.214127-4-1.693630+1 1.215272-4-1.482856+1 1.217028-4-1.266403+1 1.217523-4-1.250839+1 1.218424-4-1.305395+1 1.219215-4-1.422065+1 1.219933-4-1.578458+1 1.221110-4-1.937412+1 1.222380-4-2.474147+1 1.223689-4-3.218014+1 1.224690-4-3.976303+1 1.225510-4-4.783153+1 1.227853-4-6.975107+1 1.228564-4-7.827866+1 1.230532-4-5.523439+1 1.231512-4-4.317183+1 1.231891-4-3.768829+1 1.234587-4-6.962726+0 1.234687-4-5.562631+0 1.234879-4-3.251136+0 1.235241-4 6.366693-1 1.235873-4 6.751486+0 1.238036-4 2.570490+1 1.239029-4 3.269125+1 1.240325-4 3.967339+1 1.241711-4 4.521553+1 1.243268-4 4.936008+1 1.244626-4 5.116338+1 1.245822-4 5.115369+1 1.248673-4 4.590171+1 1.251313-4 3.767095+1 1.255129-4 2.360331+1 1.260066-4 8.509517+0 1.260390-4 7.285027+0 1.260954-4 4.565274+0 1.261372-4 2.981443+0 1.262000-4 9.827994-1 1.262627-4-7.657961-1 1.263765-4-3.530423+0 1.264903-4-5.929896+0 1.266186-4-8.320432+0 1.268088-4-1.140757+1 1.270272-4-1.444351+1 1.273574-4-1.828453+1 1.277987-4-2.243282+1 1.284083-4-2.694033+1 1.294185-4-3.245952+1 1.311020-4-3.886892+1 1.326803-4-4.255654+1 1.380151-4-4.815757+1 1.435731-4-5.098802+1 2.397607-4-6.331411+1 3.123034-4-6.634034+1 4.518559-4-7.284604+1 5.173750-4-8.084932+1 5.662730-4-9.173512+1 5.930000-4-9.122357+1 7.000000-4-7.033454+1 7.746605-4-6.127145+1 8.391364-4-5.728728+1 8.675828-4-5.795465+1 8.962231-4-5.416934+1 9.282500-4-5.222818+1 9.685281-4-4.780930+1 1.059254-3-4.184229+1 1.154782-3-3.819176+1 1.198428-3-3.796542+1 1.232613-3-3.537347+1 1.342988-3-3.126395+1 1.466757-3-2.851101+1 1.637695-3-2.582839+1 1.883961-3-2.287290+1 2.191046-3-2.115754+1 2.583514-3-2.061000+1 3.006412-3-2.130831+1 3.368992-3-2.307046+1 3.641246-3-2.567668+1 3.802173-3-2.852490+1 3.898462-3-3.167790+1 3.945843-3-3.471292+1 4.004268-3-4.011997+1 4.033157-3-3.996010+1 4.099297-3-3.490749+1 4.145214-3-3.371554+1 4.224647-3-3.528111+1 4.260235-3-3.398228+1 4.326112-3-2.892868+1 4.392420-3-2.596310+1 4.504224-3-2.308080+1 4.648081-3-2.111159+1 4.744815-3-2.092899+1 4.826825-3-2.156912+1 4.873619-3-2.036474+1 4.944533-3-1.811410+1 5.060284-3-1.602943+1 5.256073-3-1.382320+1 5.511249-3-1.202966+1 5.749812-3-1.110124+1 5.880908-3-1.114168+1 5.965200-3-1.110140+1 6.084757-3-1.012256+1 6.217533-3-9.643172+0 6.328140-3-9.440362+0 6.501569-3-8.295949+0 6.808362-3-7.157792+0 7.261321-3-6.108314+0 7.831377-3-5.283485+0 8.427348-3-4.753306+0 9.242540-3-4.386095+0 1.024398-2-4.240235+0 1.156286-2-4.328192+0 1.326702-2-4.724299+0 1.513634-2-5.439713+0 1.662724-2-6.320308+0 1.758210-2-7.235782+0 1.814554-2-8.141449+0 1.848986-2-9.117889+0 1.868301-2-1.016890+1 1.889719-2-1.182467+1 1.900456-2-1.209023+1 1.912906-2-1.148823+1 1.937620-2-9.526061+0 1.959056-2-8.544690+0 1.994603-2-7.646141+0 2.046536-2-6.904224+0 2.121679-2-6.368408+0 2.208323-2-6.199961+0 2.274099-2-6.394734+0 2.317707-2-6.831015+0 2.344229-2-7.465897+0 2.367967-2-8.205541+0 2.384609-2-8.267913+0 2.420037-2-7.415599+0 2.457802-2-6.975390+0 2.506470-2-5.706065+0 2.548789-2-5.000795+0 2.618032-2-4.263819+0 2.719372-2-3.538988+0 2.830959-2-2.983816+0 2.954928-2-2.545871+0 3.085851-2-2.211416+0 3.306026-2-1.828908+0 3.471113-2-1.633805+0 3.715352-2-1.443139+0 3.975347-2-1.326666+0 4.308985-2-1.259775+0 4.820649-2-1.242485+0 5.671462-2-1.333220+0 8.987106-2-1.932416+0 1.053968-1-2.289165+0 1.148791-1-2.616367+0 1.207864-1-2.961134+0 1.241626-1-3.316249+0 1.259280-1-3.662688+0 1.272697-1-4.169200+0 1.283131-1-4.603830+0 1.289494-1-4.667669+0 1.298270-1-4.407457+0 1.315170-1-3.633556+0 1.328825-1-3.269984+0 1.352520-1-2.897896+0 1.388053-1-2.555820+0 1.429942-1-2.294930+0 1.499133-1-2.011588+0 1.573851-1-1.815947+0 1.694210-1-1.620370+0 1.851858-1-1.474665+0 2.111796-1-1.358182+0 2.502968-1-1.303486+0 3.646860-1-1.322269+0 7.001432-1-1.409261+0 2.135261+0-1.450015+0 6.448384+0-1.461777+0 1.000000+1-1.460513+0 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 8.325028-2 1.123969-6 1.426809-1 1.154039-6 1.618332-1 1.200000-6 1.955284-1 1.258216-6 2.465017-1 1.301576-6 2.921257-1 1.372715-6 3.837827-1 1.401764-6 4.288687-1 1.452598-6 5.195042-1 1.490724-6 5.986943-1 1.519319-6 6.661126-1 1.562211-6 7.812736-1 1.624856-6 9.835311-1 1.672265-6 1.172901+0 1.722897-6 1.418445+0 1.759252-6 1.625500+0 1.793336-6 1.848944+0 1.825289-6 2.088660+0 1.855245-6 2.344318+0 1.883329-6 2.615649+0 1.909657-6 2.902128+0 1.934340-6 3.202980+0 1.957481-6 3.517525+0 1.979175-6 3.845184+0 1.999513-6 4.185900+0 2.018580-6 4.540386+0 2.054331-6 5.301254+0 2.085612-6 6.089647+0 2.112984-6 6.900605+0 2.136934-6 7.723851+0 2.157891-6 8.548737+0 2.176228-6 9.366113+0 2.192272-6 1.016868+1 2.206311-6 1.094821+1 2.230880-6 1.250993+1 2.249306-6 1.388099+1 2.263126-6 1.504973+1 2.283856-6 1.707092+1 2.304586-6 1.948142+1 2.321603-6 2.183831+1 2.338620-6 2.463857+1 2.355638-6 2.800465+1 2.366982-6 3.064466+1 2.378327-6 3.367947+1 2.389672-6 3.719898+1 2.401017-6 4.132219+1 2.412362-6 4.621002+1 2.418034-6 4.900734+1 2.425113-6 5.289801+1 2.431748-6 5.702210+1 2.437970-6 6.139090+1 2.443802-6 6.601680+1 2.449270-6 7.091379+1 2.454396-6 7.609812+1 2.459201-6 8.158904+1 2.463706-6 8.740928+1 2.467930-6 9.358494+1 2.475850-6 1.076144+2 2.482779-6 1.235311+2 2.488842-6 1.414915+2 2.494148-6 1.614832+2 2.498790-6 1.832929+2 2.502852-6 2.065336+2 2.506406-6 2.307072+2 2.509516-6 2.552779+2 2.512237-6 2.797331+2 2.516702-6 3.265942+2 2.523082-6 4.101866+2 2.532405-6 5.727182+2 2.537516-6 6.834130+2 2.540631-6 7.581252+2 2.543746-6 8.378477+2 2.549977-6 1.009619+3 2.550756-6 1.031971+3 2.556207-6 1.191201+3 2.558349-6 1.254036+3 2.562438-6 1.371894+3 2.564580-6 1.431489+3 2.566624-6 1.486321+3 2.569447-6 1.557803+3 2.571832-6 1.613491+3 2.574899-6 1.677480+3 2.577625-6 1.726059+3 2.580801-6 1.771520+3 2.584439-6 1.807379+3 2.587554-6 1.823354+3 2.588639-6 1.825621+3 2.591733-6 1.822610+3 2.594018-6 1.811404+3 2.600109-6 1.745527+3 2.602053-6 1.714185+3 2.606623-6 1.623145+3 2.609032-6 1.566539+3 2.612281-6 1.482453+3 2.615445-6 1.393739+3 2.618512-6 1.303096+3 2.621238-6 1.220056+3 2.624085-6 1.132120+3 2.627857-6 1.015803+3 2.630973-6 9.215584+2 2.634477-6 8.191381+2 2.637203-6 7.430119+2 2.643434-6 5.835187+2 2.645575-6 5.339164+2 2.647620-6 4.892119+2 2.651222-6 4.168224+2 2.654726-6 3.541625+2 2.657560-6 3.089578+2 2.661499-6 2.538242+2 2.665347-6 2.080317+2 2.667873-6 1.819459+2 2.670358-6 1.590798+2 2.672806-6 1.390804+2 2.677585-6 1.063981+2 2.682217-6 8.160677+1 2.688897-6 5.525586+1 2.697326-6 3.352111+1 2.707203-6 1.860747+1 2.710946-6 1.491913+1 2.714572-6 1.208797+1 2.718084-6 9.919053+0 2.721487-6 8.267702+0 2.724783-6 7.025493+0 2.727976-6 6.110163+0 2.731070-6 5.458371+0 2.734066-6 5.020567+0 2.736970-6 4.757365+0 2.738376-6 4.681542+0 2.739760-6 4.637458+0 2.826968-6 2.985778+1 2.833926-6 3.479124+1 2.840884-6 4.072099+1 2.847842-6 4.782823+1 2.854801-6 5.632800+1 2.861759-6 6.649772+1 2.868717-6 7.871872+1 2.875675-6 9.353670+1 2.882634-6 1.117519+2 2.889592-6 1.345536+2 2.893071-6 1.481991+2 2.896550-6 1.637149+2 2.900029-6 1.814568+2 2.903508-6 2.018527+2 2.906987-6 2.254137+2 2.910466-6 2.527446+2 2.913946-6 2.845538+2 2.917425-6 3.216617+2 2.920904-6 3.650065+2 2.924383-6 4.156469+2 2.927862-6 4.747602+2 2.931341-6 5.436347+2 2.938299-6 7.162879+2 2.949606-6 1.122627+3 2.955709-6 1.421319+3 2.960374-6 1.692295+3 2.963253-6 1.878690+3 2.966132-6 2.079866+3 2.968882-6 2.285697+3 2.971632-6 2.504515+3 2.978911-6 3.141057+3 2.979821-6 3.225809+3 2.986189-6 3.843419+3 2.988691-6 4.094430+3 2.993468-6 4.578331+3 2.997164-6 4.949958+3 3.000746-6 5.300807+3 3.004442-6 5.646235+3 3.008025-6 5.958271+3 3.011209-6 6.211592+3 3.014152-6 6.421719+3 3.015758-6 6.525559+3 3.020023-6 6.759992+3 3.023353-6 6.897812+3 3.027233-6 7.004515+3 3.030863-6 7.049666+3 3.033519-6 7.048671+3 3.037138-6 7.001316+3 3.039672-6 6.937313+3 3.044872-6 6.730717+3 3.047777-6 6.574550+3 3.049736-6 6.454325+3 3.052605-6 6.258603+3 3.055391-6 6.048597+3 3.058974-6 5.754304+3 3.062158-6 5.474385+3 3.065229-6 5.192400+3 3.069892-6 4.750263+3 3.073531-6 4.400711+3 3.077625-6 4.010301+3 3.080809-6 3.712993+3 3.088088-6 3.069528+3 3.092978-6 2.674792+3 3.095366-6 2.494799+3 3.100825-6 2.116991+3 3.106962-6 1.749262+3 3.122030-6 1.086329+3 3.125728-6 9.689863+2 3.129396-6 8.672316+2 3.133036-6 7.792105+2 3.136648-6 7.031844+2 3.140231-6 6.375556+2 3.143787-6 5.808802+2 3.147314-6 5.318724+2 3.154314-6 4.522131+2 3.161205-6 3.916381+2 3.167988-6 3.447317+2 3.174665-6 3.076491+2 3.181238-6 2.777068+2 3.187708-6 2.530457+2 3.194076-6 2.323737+2 3.200346-6 2.147827+2 3.206517-6 1.996225+2 3.212592-6 1.864176+2 3.224552-6 1.643772+2 3.236139-6 1.468966+2 3.247363-6 1.327151+2 3.258236-6 1.210021+2 3.268770-6 1.111854+2 3.278975-6 1.028559+2 3.288860-6 9.571198+1 3.298437-6 8.952601+1 3.316992-6 7.922212+1 3.334387-6 7.116738+1 3.350695-6 6.472317+1 3.365984-6 5.947212+1 3.383380-6 5.426195+1 3.393755-6 5.148176+1 3.418950-6 4.556573+1 3.440996-6 4.118300+1 3.477164-6 3.521432+1 3.506702-6 3.120718+1 3.528856-6 2.860407+1 3.564113-6 2.501619+1 3.696150-6 1.547961+1 3.731605-6 1.356075+1 3.758725-6 1.218078+1 3.785082-6 1.089564+1 3.831445-6 8.894105+0 3.841806-6 8.525742+0 3.856768-6 8.055420+0 3.875922-6 7.549461+0 3.923601-6 6.542817+0 3.932132-6 6.371532+0 3.949549-6 6.015404+0 3.975211-6 5.470885+0 3.999794-6 4.930272+0 4.021304-6 4.446503+0 4.040125-6 4.017034+0 4.056594-6 3.636899+0 4.071004-6 3.300715+0 4.084434-6 2.984127+0 4.097348-6 2.676840+0 4.113953-6 2.279584+0 4.128433-6 1.937208+0 4.139294-6 1.690571+0 4.158130-6 1.314190+0 4.165002-6 1.204523+0 4.170156-6 1.135976+0 4.173158-6 1.102271+0 4.177651-6 1.061269+0 4.187277-6 1.015922+0 4.189845-6 1.014448+0 4.192412-6 1.017676+0 4.194979-6 1.025684+0 4.198830-6 1.046750+0 4.201718-6 1.069693+0 4.203964-6 1.091737+0 4.206210-6 1.117406+0 4.209579-6 1.162556+0 4.213591-6 1.226307+0 4.216900-6 1.286632+0 4.225062-6 1.462166+0 4.239683-6 1.851229+0 4.250148-6 2.175440+0 4.261669-6 2.591710+0 4.266400-6 2.794762+0 4.271500-6 3.048009+0 4.275503-6 3.280780+0 4.277688-6 3.423822+0 4.285149-6 4.022465+0 4.288849-6 4.399227+0 4.291583-6 4.719771+0 4.296107-6 5.342493+0 4.300147-6 6.011116+0 4.305116-6 7.003992+0 4.309003-6 7.930489+0 4.317724-6 1.056734+1 4.326927-6 1.431889+1 4.332883-6 1.733662+1 4.336403-6 1.934775+1 4.346761-6 2.623533+1 4.349568-6 2.833952+1 4.357029-6 3.436106+1 4.361108-6 3.787689+1 4.365663-6 4.194212+1 4.369486-6 4.543332+1 4.373972-6 4.957370+1 4.378612-6 5.384710+1 4.383270-6 5.806081+1 4.388030-6 6.221355+1 4.392424-6 6.584583+1 4.396806-6 6.921799+1 4.401653-6 7.259264+1 4.406470-6 7.551668+1 4.410332-6 7.751535+1 4.413639-6 7.896319+1 4.419163-6 8.080995+1 4.424087-6 8.183119+1 4.431119-6 8.225514+1 4.434754-6 8.200442+1 4.439843-6 8.113792+1 4.442328-6 8.050623+1 4.445381-6 7.955371+1 4.449556-6 7.795590+1 4.452468-6 7.665493+1 4.455889-6 7.495019+1 4.460907-6 7.214566+1 4.462322-6 7.129792+1 4.468798-6 6.715531+1 4.472914-6 6.434653+1 4.476272-6 6.198517+1 4.483507-6 5.677944+1 4.494099-6 4.916238+1 4.496115-6 4.774624+1 4.510590-6 3.820428+1 4.521749-6 3.184105+1 4.536184-6 2.508046+1 4.542384-6 2.267657+1 4.549205-6 2.035278+1 4.557951-6 1.781771+1 4.562966-6 1.656551+1 4.573013-6 1.443458+1 4.585067-6 1.242308+1 4.594447-6 1.117563+1 4.604170-6 1.010555+1 4.622048-6 8.563069+0 4.633235-6 7.794022+0 4.640000-6 7.381341+0 4.652315-6 6.707359+0 4.685010-6 5.233208+0 4.712461-6 4.191902+0 4.729078-6 3.615127+0 4.739546-6 3.273466+0 4.761706-6 2.635429+0 4.767552-6 2.496376+0 4.773398-6 2.374821+0 4.779243-6 2.274296+0 4.785089-6 2.198782+0 4.790935-6 2.152664+0 4.796781-6 2.140656+0 4.802243-6 2.164616+0 4.804974-6 2.190655+0 4.808459-6 2.238559+0 4.809921-6 2.263780+0 4.812663-6 2.319585+0 4.831855-6 3.055555+0 4.844278-6 3.885949+0 4.859106-6 5.241975+0 4.865539-6 5.938628+0 4.872569-6 6.758147+0 4.877439-6 7.352411+0 4.882898-6 8.034193+0 4.887614-6 8.628594+0 4.893081-6 9.312876+0 4.898830-6 1.001402+1 4.903112-6 1.051518+1 4.908659-6 1.112657+1 4.914206-6 1.168358+1 4.916333-6 1.188015+1 4.921186-6 1.228913+1 4.926780-6 1.268502+1 4.937874-6 1.320185+1 4.942427-6 1.330329+1 4.950817-6 1.331681+1 4.952966-6 1.328441+1 4.956996-6 1.318530+1 4.960523-6 1.305870+1 4.966308-6 1.277467+1 4.971033-6 1.247747+1 4.974577-6 1.221959+1 4.977235-6 1.200819+1 4.983214-6 1.148259+1 4.985208-6 1.129381+1 4.994083-6 1.038855+1 4.997041-6 1.006866+1 5.005916-6 9.078108+0 5.008875-6 8.742989+0 5.020708-6 7.417146+0 5.023070-6 7.160194+0 5.039603-6 5.499552+0 5.055919-6 4.187153+0 5.063550-6 3.705881+0 5.076404-6 3.094420+0 5.080539-6 2.949953+0 5.089866-6 2.712626+0 5.094141-6 2.642517+0 5.102303-6 2.569839+0 5.106578-6 2.560773+0 5.110658-6 2.568572+0 5.114739-6 2.590718+0 5.118501-6 2.622307+0 5.124902-6 2.696404+0 5.131803-6 2.797581+0 5.148929-6 3.084124+0 5.153602-6 3.157790+0 5.159043-6 3.235046+0 5.165261-6 3.308238+0 5.174370-6 3.379028+0 5.179278-6 3.396879+0 5.181970-6 3.400332+0 5.190044-6 3.383775+0 5.194435-6 3.358400+0 5.202818-6 3.281182+0 5.210029-6 3.189618+0 5.219342-6 3.048116+0 5.239545-6 2.729461+0 5.246989-6 2.638299+0 5.252315-6 2.591460+0 5.255229-6 2.574114+0 5.259601-6 2.561199+0 5.263974-6 2.566573+0 5.266216-6 2.577450+0 5.276451-6 2.712929+0 5.279693-6 2.791162+0 5.282634-6 2.879852+0 5.285805-6 2.996532+0 5.290609-6 3.220514+0 5.293665-6 3.396588+0 5.296119-6 3.559268+0 5.298851-6 3.764689+0 5.301484-6 3.989339+0 5.303714-6 4.201756+0 5.308448-6 4.727358+0 5.313181-6 5.368083+0 5.317790-6 6.119664+0 5.321536-6 6.836208+0 5.325704-6 7.758862+0 5.334527-6 1.021887+1 5.350342-6 1.681192+1 5.358941-6 2.187766+1 5.363851-6 2.532254+1 5.366615-6 2.745253+1 5.371453-6 3.152727+1 5.378709-6 3.850851+1 5.385058-6 4.551013+1 5.388335-6 4.945817+1 5.396451-6 6.021490+1 5.401527-6 6.763757+1 5.404232-6 7.180389+1 5.411334-6 8.339195+1 5.414932-6 8.959393+1 5.420091-6 9.882677+1 5.427927-6 1.134644+2 5.432503-6 1.222521+2 5.438208-6 1.333319+2 5.443058-6 1.427600+2 5.448248-6 1.527417+2 5.453844-6 1.632453+2 5.458679-6 1.719898+2 5.464685-6 1.822647+2 5.466825-6 1.857371+2 5.474531-6 1.972568+2 5.480798-6 2.053159+2 5.483471-6 2.083517+2 5.489633-6 2.143640+2 5.494757-6 2.182539+2 5.507235-6 2.232781+2 5.512594-6 2.234668+2 5.522352-6 2.208519+2 5.528838-6 2.171215+2 5.532633-6 2.142595+2 5.538860-6 2.085740+2 5.545851-6 2.008910+2 5.551691-6 1.935861+2 5.559199-6 1.832541+2 5.565498-6 1.739806+2 5.571797-6 1.643460+2 5.575007-6 1.593523+2 5.584637-6 1.442830+2 5.597611-6 1.244649+2 5.624506-6 8.857934+1 5.644599-6 6.804330+1 5.658205-6 5.720611+1 5.665312-6 5.242997+1 5.675973-6 4.626651+1 5.686633-6 4.114426+1 5.702726-6 3.500034+1 5.713503-6 3.172343+1 5.722367-6 2.942062+1 5.728565-6 2.798530+1 5.736539-6 2.631895+1 5.743992-6 2.491887+1 5.751771-6 2.359652+1 5.766832-6 2.136859+1 5.779612-6 1.975582+1 5.793334-6 1.824935+1 5.813487-6 1.637065+1 5.833137-6 1.483539+1 5.852201-6 1.356005+1 5.870615-6 1.248404+1 5.906345-6 1.072027+1 5.939842-6 9.343667+0 6.003966-6 7.158349+0 6.065794-6 5.358367+0 6.107243-6 4.267113+0 6.137110-6 3.545076+0 6.157338-6 3.097297+0 6.191414-6 2.451399+0 6.200016-6 2.315953+0 6.209484-6 2.182075+0 6.217831-6 2.078124+0 6.226930-6 1.980595+0 6.236214-6 1.898573+0 6.244949-6 1.837783+0 6.252924-6 1.796106+0 6.262833-6 1.762378+0 6.269509-6 1.750626+0 6.279044-6 1.748613+0 6.285174-6 1.756218+0 6.293054-6 1.776004+0 6.302382-6 1.814045+0 6.311127-6 1.864873+0 6.319418-6 1.928356+0 6.327140-6 2.003549+0 6.334217-6 2.089421+0 6.340972-6 2.190631+0 6.347305-6 2.307227+0 6.353242-6 2.440650+0 6.358808-6 2.592146+0 6.364027-6 2.762634+0 6.368919-6 2.952625+0 6.373505-6 3.162181+0 6.377805-6 3.390914+0 6.381836-6 3.638012+0 6.385615-6 3.902294+0 6.389158-6 4.182268+0 6.392479-6 4.476204+0 6.395593-6 4.782198+0 6.399881-6 5.256788+0 6.403735-6 5.741608+0 6.407239-6 6.235265+0 6.414911-6 7.515276+0 6.425394-6 9.785392+0 6.444868-6 1.605246+1 6.454342-6 2.029078+1 6.462122-6 2.444696+1 6.469555-6 2.902937+1 6.476864-6 3.414409+1 6.486620-6 4.193071+1 6.492721-6 4.735367+1 6.495973-6 5.041302+1 6.504509-6 5.897365+1 6.511830-6 6.687457+1 6.522684-6 7.937096+1 6.530126-6 8.833083+1 6.533784-6 9.280910+1 6.539424-6 9.975923+1 6.546470-6 1.084306+2 6.553299-6 1.167068+2 6.560237-6 1.248548+2 6.566334-6 1.316955+2 6.569652-6 1.352585+2 6.578292-6 1.438943+2 6.585594-6 1.503360+2 6.588660-6 1.527759+2 6.596291-6 1.580980+2 6.602551-6 1.616096+2 6.607424-6 1.637802+2 6.614401-6 1.659996+2 6.619983-6 1.670086+2 6.623133-6 1.672764+2 6.633575-6 1.666284+2 6.641124-6 1.647421+2 6.648441-6 1.618543+2 6.655508-6 1.581577+2 6.663941-6 1.527134+2 6.669001-6 1.489765+2 6.677366-6 1.421547+2 6.680155-6 1.397300+2 6.688083-6 1.325124+2 6.696011-6 1.249428+2 6.705922-6 1.152193+2 6.711868-6 1.093520+2 6.727725-6 9.403219+1 6.735752-6 8.664930+1 6.755257-6 7.030196+1 6.786999-6 4.951457+1 6.795250-6 4.530517+1 6.803501-6 4.154995+1 6.816735-6 3.639850+1 6.831228-6 3.184676+1 6.836673-6 3.039581+1 6.844840-6 2.845590+1 6.864856-6 2.474760+1 6.882395-6 2.251473+1 6.891005-6 2.170907+1 6.899615-6 2.107214+1 6.907963-6 2.060196+1 6.916310-6 2.026432+1 6.924246-6 2.005540+1 6.930198-6 1.996422+1 6.939126-6 1.992242+1 6.948054-6 1.998135+1 6.959356-6 2.017657+1 6.970658-6 2.047704+1 6.985026-6 2.096113+1 7.023013-6 2.237523+1 7.037962-6 2.285053+1 7.046375-6 2.307877+1 7.058995-6 2.336180+1 7.071614-6 2.357161+1 7.094800-6 2.377233+1 7.115455-6 2.376450+1 7.136110-6 2.359191+1 7.155745-6 2.327595+1 7.167512-6 2.301446+1 7.187538-6 2.244586+1 7.202290-6 2.193276+1 7.217041-6 2.134971+1 7.238966-6 2.038409+1 7.256109-6 1.957915+1 7.323664-6 1.653769+1 7.339790-6 1.594025+1 7.353756-6 1.548292+1 7.375922-6 1.488376+1 7.393988-6 1.451855+1 7.412054-6 1.426766+1 7.430120-6 1.412905+1 7.441955-6 1.409508+1 7.451716-6 1.409737+1 7.474495-6 1.418854+1 7.520450-6 1.452620+1 7.538516-6 1.462219+1 7.556582-6 1.465651+1 7.565615-6 1.464578+1 7.579164-6 1.459295+1 7.592714-6 1.449749+1 7.610780-6 1.431273+1 7.628846-6 1.408001+1 7.680895-6 1.335513+1 7.709472-6 1.304583+1 7.734560-6 1.285882+1 7.753230-6 1.276479+1 7.863754-6 1.243325+1 7.968154-6 1.203648+1 8.087705-6 1.168700+1 8.147740-6 1.148654+1 8.182006-6 1.132852+1 8.229044-6 1.103052+1 8.269518-6 1.068814+1 8.294579-6 1.043941+1 8.373711-6 9.590952+0 8.387863-6 9.460160+0 8.429155-6 9.207754+0 8.449800-6 9.187476+0 8.470446-6 9.258359+0 8.482057-6 9.341523+0 8.493667-6 9.456177+0 8.512787-6 9.710222+0 8.524259-6 9.897363+0 8.555026-6 1.048930+1 8.575479-6 1.091222+1 8.595932-6 1.131375+1 8.616385-6 1.165649+1 8.626612-6 1.179592+1 8.643815-6 1.197231+1 8.655156-6 1.204530+1 8.673108-6 1.208831+1 8.685652-6 1.206705+1 8.698197-6 1.200672+1 8.718650-6 1.183579+1 8.738840-6 1.159830+1 8.759485-6 1.130944+1 8.851630-6 9.971118+0 8.925637-6 9.210434+0 8.969575-6 8.927375+0 8.993850-6 8.831455+0 9.013514-6 8.788065+0 9.035483-6 8.776360+0 9.052564-6 8.792640+0 9.085518-6 8.875133+0 9.145330-6 9.090159+0 9.167299-6 9.148287+0 9.190302-6 9.179434+0 9.210706-6 9.177608+0 9.231110-6 9.148652+0 9.255177-6 9.085401+0 9.345122-6 8.761347+0 9.385227-6 8.659693+0 9.432325-6 8.588422+0 9.712800-6 8.301181+0 9.761171-6 8.241787+0 9.821058-6 8.136924+0 9.859648-6 8.043172+0 9.897864-6 7.928979+0 9.979550-6 7.634918+0 1.008432-5 7.253998+0 1.017563-5 6.980383+0 1.029566-5 6.688142+0 1.060694-5 6.056389+0 1.109175-5 5.187774+0 1.167300-5 4.210835+0 1.199970-5 3.687858+0 1.226752-5 3.265387+0 1.239687-5 3.061027+0 1.259789-5 2.748193+0 1.266720-5 2.661326+0 1.272251-5 2.612131+0 1.276946-5 2.587820+0 1.281262-5 2.579477+0 1.286362-5 2.583460+0 1.295318-5 2.605835+0 1.300655-5 2.614626+0 1.307111-5 2.611250+0 1.314217-5 2.587934+0 1.316560-5 2.576378+0 1.330785-5 2.481994+0 1.340571-5 2.407044+0 1.379919-5 2.113401+0 1.394711-5 2.020528+0 1.405340-5 1.963708+0 1.413495-5 1.928424+0 1.418350-5 1.912512+0 1.425170-5 1.899251+0 1.430481-5 1.898319+0 1.434494-5 1.903943+0 1.440523-5 1.922946+0 1.448279-5 1.963625+0 1.468235-5 2.097919+0 1.480000-5 2.164780+0 1.500175-5 2.273218+0 1.514419-5 2.373137+0 1.519490-5 2.415982+0 1.529141-5 2.509420+0 1.542248-5 2.662661+0 1.562407-5 2.959804+0 1.575309-5 3.195002+0 1.590446-5 3.524547+0 1.611518-5 4.086511+0 1.627050-5 4.589219+0 1.646000-5 5.323550+0 1.666610-5 6.291252+0 1.682435-5 7.177061+0 1.699034-5 8.266500+0 1.711283-5 9.191569+0 1.723148-5 1.019973+1 1.746576-5 1.256879+1 1.761110-5 1.433704+1 1.777141-5 1.660183+1 1.792531-5 1.914579+1 1.805654-5 2.166256+1 1.820455-5 2.495712+1 1.841572-5 3.062479+1 1.855634-5 3.517817+1 1.870343-5 4.079586+1 1.884133-5 4.702337+1 1.897252-5 5.399539+1 1.909182-5 6.141374+1 1.920544-5 6.963691+1 1.931197-5 7.858150+1 1.941183-5 8.826697+1 1.951852-5 1.002805+2 1.961101-5 1.123670+2 1.967552-5 1.218823+2 1.978286-5 1.400885+2 1.989279-5 1.625159+2 1.995635-5 1.776456+2 2.001595-5 1.935577+2 2.009104-5 2.164178+2 2.017329-5 2.458054+2 2.021933-5 2.646501+2 2.030564-5 3.057516+2 2.038116-5 3.495197+2 2.044725-5 3.957311+2 2.050507-5 4.441199+2 2.055856-5 4.974547+2 2.059994-5 5.458161+2 2.063867-5 5.979632+2 2.070223-5 7.012451+2 2.075413-5 8.056400+2 2.079305-5 8.980590+2 2.084414-5 1.040366+3 2.101276-5 1.708834+3 2.111570-5 2.292267+3 2.118552-5 2.794337+3 2.121306-5 3.026736+3 2.124060-5 3.284942+3 2.128108-5 3.723253+3 2.130132-5 3.974385+3 2.132157-5 4.250801+3 2.137947-5 5.210388+3 2.142450-5 6.168275+3 2.148502-5 7.810118+3 2.154437-5 9.855820+3 2.159053-5 1.173951+4 2.164658-5 1.430865+4 2.165276-5 1.460598+4 2.170095-5 1.697072+4 2.171823-5 1.782263+4 2.174292-5 1.902334+4 2.175879-5 1.977595+4 2.178462-5 2.095086+4 2.180095-5 2.165225+4 2.182429-5 2.258417+4 2.185007-5 2.349843+4 2.185759-5 2.373907+4 2.188232-5 2.443938+4 2.190949-5 2.503354+4 2.193078-5 2.536041+4 2.195696-5 2.558657+4 2.196696-5 2.562063+4 2.202260-5 2.528035+4 2.204587-5 2.487963+4 2.206961-5 2.432480+4 2.209529-5 2.357195+4 2.211755-5 2.280461+4 2.213186-5 2.226142+4 2.215585-5 2.127533+4 2.217912-5 2.024271+4 2.219857-5 1.933580+4 2.222356-5 1.812743+4 2.224994-5 1.682191+4 2.227632-5 1.550765+4 2.230599-5 1.404465+4 2.232907-5 1.293425+4 2.238182-5 1.054353+4 2.240078-5 9.747791+3 2.242242-5 8.886675+3 2.245487-5 7.694776+3 2.249366-5 6.432720+3 2.253624-5 5.249479+3 2.266503-5 2.803562+3 2.269236-5 2.462233+3 2.271968-5 2.168410+3 2.274700-5 1.915912+3 2.280164-5 1.512558+3 2.285629-5 1.213304+3 2.289196-5 1.059807+3 2.290385-5 1.014624+3 2.301660-5 7.000510+2 2.307486-5 6.012859+2 2.308169-5 5.921115+2 2.312951-5 5.410888+2 2.315132-5 5.251587+2 2.319298-5 5.066756+2 2.321193-5 5.031215+2 2.323222-5 5.024236+2 2.324878-5 5.040753+2 2.326120-5 5.065334+2 2.328916-5 5.155212+2 2.331429-5 5.271509+2 2.334840-5 5.471292+2 2.344964-5 6.192695+2 2.348129-5 6.409147+2 2.353051-5 6.695162+2 2.355340-5 6.800051+2 2.357524-5 6.880932+2 2.359709-5 6.942006+2 2.362499-5 6.990616+2 2.364777-5 7.006167+2 2.366486-5 7.004135+2 2.369049-5 6.980486+2 2.371612-5 6.934430+2 2.377072-5 6.776402+2 2.383177-5 6.538854+2 2.392190-5 6.167203+2 2.396354-5 6.015523+2 2.401129-5 5.869515+2 2.404364-5 5.789673+2 2.409279-5 5.697710+2 2.414195-5 5.637725+2 2.426610-5 5.581486+2 2.438241-5 5.559658+2 2.444797-5 5.522722+2 2.452795-5 5.430271+2 2.459394-5 5.305033+2 2.465013-5 5.160537+2 2.468921-5 5.039724+2 2.473132-5 4.892027+2 2.478377-5 4.685559+2 2.482842-5 4.493541+2 2.489221-5 4.200891+2 2.494855-5 3.932944+2 2.501287-5 3.626717+2 2.511575-5 3.160523+2 2.526376-5 2.587304+2 2.537152-5 2.254154+2 2.547821-5 1.986464+2 2.557903-5 1.778481+2 2.567354-5 1.613460+2 2.576215-5 1.478636+2 2.592829-5 1.263351+2 2.622709-5 9.564724+1 2.668395-5 5.876855+1 2.680054-5 5.036188+1 2.688406-5 4.467183+1 2.705958-5 3.435901+1 2.709356-5 3.275924+1 2.712194-5 3.155514+1 2.714841-5 3.055134+1 2.717049-5 2.980879+1 2.719121-5 2.919451+1 2.721068-5 2.869427+1 2.723766-5 2.812857+1 2.726228-5 2.774714+1 2.729133-5 2.746756+1 2.730525-5 2.740024+1 2.733530-5 2.740378+1 2.735801-5 2.754162+1 2.739139-5 2.795328+1 2.741919-5 2.848135+1 2.745041-5 2.926634+1 2.747675-5 3.007782+1 2.749650-5 3.076997+1 2.752614-5 3.193152+1 2.757658-5 3.420339+1 2.770090-5 4.081676+1 2.775810-5 4.402352+1 2.778697-5 4.561561+1 2.782691-5 4.775202+1 2.786050-5 4.946725+1 2.789644-5 5.119978+1 2.793679-5 5.300001+1 2.798495-5 5.492748+1 2.803463-5 5.665268+1 2.808032-5 5.800234+1 2.813759-5 5.938632+1 2.818982-5 6.037249+1 2.825839-5 6.131352+1 2.834654-5 6.203334+1 2.842492-5 6.231050+1 2.853062-5 6.228780+1 2.865771-5 6.184115+1 2.878873-5 6.106250+1 2.896541-5 5.968074+1 2.914797-5 5.798920+1 2.926144-5 5.684477+1 2.947333-5 5.457808+1 2.963774-5 5.274102+1 2.982649-5 5.058575+1 3.011272-5 4.731134+1 3.052371-5 4.286117+1 3.080000-5 4.028187+1 3.097531-5 3.895555+1 3.112600-5 3.808322+1 3.127412-5 3.751696+1 3.141313-5 3.725772+1 3.163753-5 3.722418+1 3.189544-5 3.732061+1 3.199545-5 3.749178+1 3.206643-5 3.778282+1 3.211227-5 3.809175+1 3.215669-5 3.851240+1 3.219971-5 3.906091+1 3.224139-5 3.975186+1 3.228177-5 4.059840+1 3.232089-5 4.161249+1 3.236020-5 4.285412+1 3.239549-5 4.418676+1 3.243106-5 4.576746+1 3.246551-5 4.755729+1 3.249888-5 4.956654+1 3.253122-5 5.180594+1 3.256254-5 5.428679+1 3.259288-5 5.702117+1 3.265173-5 6.342322+1 3.270679-5 7.103052+1 3.275846-5 7.999865+1 3.280690-5 9.046016+1 3.285231-5 1.025561+2 3.289489-5 1.164187+2 3.293480-5 1.321615+2 3.297222-5 1.498700+2 3.300730-5 1.695948+2 3.304019-5 1.913465+2 3.307102-5 2.150938+2 3.309993-5 2.407649+2 3.315243-5 2.974059+2 3.317625-5 3.280634+2 3.322091-5 3.954269+2 3.337318-5 7.543916+2 3.342610-5 9.407998+2 3.348820-5 1.210959+3 3.353867-5 1.476427+3 3.356527-5 1.634166+3 3.361605-5 1.971160+3 3.365732-5 2.280523+3 3.369859-5 2.621750+3 3.378629-5 3.447207+3 3.380563-5 3.645913+3 3.386367-5 4.271338+3 3.389543-5 4.628332+3 3.394621-5 5.212005+3 3.398753-5 5.690301+3 3.402365-5 6.103884+3 3.405383-5 6.441534+3 3.409262-5 6.859123+3 3.411792-5 7.118090+3 3.415113-5 7.437864+3 3.419082-5 7.784224+3 3.423767-5 8.133466+3 3.427765-5 8.373113+3 3.429837-5 8.474259+3 3.433787-5 8.620976+3 3.437495-5 8.701535+3 3.441598-5 8.724789+3 3.444902-5 8.693236+3 3.446658-5 8.658479+3 3.452769-5 8.444375+3 3.456015-5 8.275315+3 3.459628-5 8.046500+3 3.461950-5 7.878824+3 3.465927-5 7.558778+3 3.469907-5 7.203057+3 3.473232-5 6.884326+3 3.477507-5 6.453237+3 3.481714-5 6.013921+3 3.485921-5 5.568200+3 3.490278-5 5.108121+3 3.493667-5 4.756203+3 3.501921-5 3.940391+3 3.504887-5 3.666424+3 3.511658-5 3.087505+3 3.518877-5 2.547842+3 3.529219-5 1.917576+3 3.540085-5 1.423530+3 3.544091-5 1.279432+3 3.548134-5 1.152137+3 3.553241-5 1.014654+3 3.557370-5 9.204016+2 3.564390-5 7.896998+2 3.566226-5 7.608860+2 3.575006-5 6.486208+2 3.579405-5 6.058583+2 3.583805-5 5.705037+2 3.589219-5 5.356995+2 3.592605-5 5.181528+2 3.595356-5 5.059957+2 3.599484-5 4.909181+2 3.603612-5 4.791879+2 3.607601-5 4.706067+2 3.610593-5 4.657206+2 3.615081-5 4.605329+2 3.619569-5 4.575082+2 3.626106-5 4.561032+2 3.636712-5 4.586887+2 3.657738-5 4.682833+2 3.664512-5 4.702118+2 3.673724-5 4.711558+2 3.683316-5 4.700952+2 3.692698-5 4.673252+2 3.708270-5 4.598122+2 3.717881-5 4.536242+2 3.730848-5 4.432177+2 3.745209-5 4.282562+2 3.751177-5 4.208080+2 3.761412-5 4.062967+2 3.774439-5 3.849448+2 3.779795-5 3.754229+2 3.790200-5 3.561600+2 3.807365-5 3.239259+2 3.831221-5 2.831148+2 3.840250-5 2.697842+2 3.854339-5 2.515548+2 3.870956-5 2.337483+2 3.891422-5 2.161623+2 3.902806-5 2.079080+2 3.928789-5 1.917650+2 4.002434-5 1.552171+2 4.023673-5 1.464068+2 4.037442-5 1.416954+2 4.048768-5 1.387468+2 4.058438-5 1.370849+2 4.067951-5 1.363485+2 4.077804-5 1.366084+2 4.087674-5 1.379324+2 4.096000-5 1.398379+2 4.104172-5 1.423339+2 4.118221-5 1.477601+2 4.148146-5 1.613086+2 4.161117-5 1.668262+2 4.176726-5 1.725442+2 4.192500-5 1.771334+2 4.208804-5 1.806930+2 4.225347-5 1.833032+2 4.254485-5 1.862557+2 4.310463-5 1.892256+2 4.390883-5 1.916197+2 4.714069-5 1.993004+2 4.933110-5 2.066998+2 5.195535-5 2.186785+2 5.481500-5 2.340192+2 5.521976-5 2.370476+2 5.561043-5 2.420030+2 5.593200-5 2.481949+2 5.646945-5 2.603015+2 5.673850-5 2.649599+2 5.702416-5 2.679990+2 5.771687-5 2.715233+2 5.822575-5 2.754063+2 5.871568-5 2.795331+2 5.905928-5 2.817020+2 6.011760-5 2.861603+2 6.100084-5 2.917814+2 6.210681-5 3.017968+2 6.265398-5 3.086347+2 6.387266-5 3.265124+2 6.513267-5 3.425160+2 6.800875-5 3.750275+2 7.039872-5 4.013773+2 7.265511-5 4.253885+2 7.520557-5 4.506578+2 7.777374-5 4.735880+2 8.052910-5 4.942124+2 8.341612-5 5.107326+2 8.609938-5 5.207550+2 8.887894-5 5.247170+2 9.090213-5 5.226056+2 9.282122-5 5.162305+2 9.472143-5 5.054642+2 9.636071-5 4.920119+2 9.781621-5 4.767286+2 9.909658-5 4.664408+2 9.947094-5 4.668206+2 1.008895-4 4.872383+2 1.020569-4 5.174141+2 1.030683-4 5.497278+2 1.040434-4 5.873392+2 1.049954-4 6.321166+2 1.056408-4 6.685166+2 1.064139-4 7.205971+2 1.071519-4 7.815397+2 1.076907-4 8.352166+2 1.082157-4 8.972954+2 1.086770-4 9.621053+2 1.092665-4 1.063574+3 1.097622-4 1.171440+3 1.100826-4 1.256428+3 1.102927-4 1.320745+3 1.106989-4 1.470529+3 1.110098-4 1.615884+3 1.112892-4 1.778279+3 1.114542-4 1.892730+3 1.117042-4 2.099686+3 1.119453-4 2.347968+3 1.120256-4 2.443699+3 1.123014-4 2.832617+3 1.124392-4 3.068183+3 1.125771-4 3.336020+3 1.127150-4 3.640004+3 1.128528-4 3.984085+3 1.130596-4 4.583886+3 1.134659-4 6.095334+3 1.137554-4 7.468239+3 1.139558-4 8.564274+3 1.141895-4 9.982350+3 1.145042-4 1.208294+4 1.147489-4 1.380864+4 1.148554-4 1.456686+4 1.149571-4 1.528657+4 1.150932-4 1.623394+4 1.152639-4 1.737481+4 1.153829-4 1.812582+4 1.155463-4 1.907626+4 1.156791-4 1.976596+4 1.157987-4 2.031205+4 1.159032-4 2.072499+4 1.160647-4 2.123448+4 1.162063-4 2.154250+4 1.163707-4 2.172868+4 1.164573-4 2.175060+4 1.167218-4 2.149076+4 1.168451-4 2.120494+4 1.169889-4 2.074653+4 1.171382-4 2.013810+4 1.172661-4 1.951955+4 1.174081-4 1.874033+4 1.175457-4 1.790643+4 1.176681-4 1.711246+4 1.178254-4 1.603693+4 1.179653-4 1.504664+4 1.181051-4 1.404068+4 1.182624-4 1.290892+4 1.183848-4 1.204061+4 1.186887-4 9.982908+3 1.188133-4 9.196056+3 1.190512-4 7.809046+3 1.193082-4 6.497605+3 1.198897-4 4.248112+3 1.201462-4 3.538389+3 1.202928-4 3.197366+3 1.204394-4 2.897309+3 1.205860-4 2.633545+3 1.207045-4 2.443864+3 1.209602-4 2.095256+3 1.212430-4 1.788357+3 1.215531-4 1.524711+3 1.218217-4 1.346203+3 1.221165-4 1.198264+3 1.224192-4 1.100895+3 1.226444-4 1.069928+3 1.228800-4 1.082975+3 1.230294-4 1.119349+3 1.231818-4 1.182133+3 1.233177-4 1.262214+3 1.233967-4 1.320038+3 1.234953-4 1.404605+3 1.235946-4 1.504287+3 1.236645-4 1.583659+3 1.237824-4 1.735456+3 1.239168-4 1.936817+3 1.240230-4 2.118116+3 1.244850-4 3.144620+3 1.245580-4 3.342251+3 1.247798-4 4.000495+3 1.248524-4 4.233946+3 1.251360-4 5.221558+3 1.252642-4 5.702418+3 1.254698-4 6.507427+3 1.256184-4 7.107164+3 1.257409-4 7.606832+3 1.258821-4 8.182771+3 1.260366-4 8.804893+3 1.261694-4 9.325530+3 1.263304-4 9.928946+3 1.264914-4 1.049103+4 1.266466-4 1.098290+4 1.267747-4 1.134480+4 1.269195-4 1.169948+4 1.270342-4 1.193549+4 1.271805-4 1.217411+4 1.273376-4 1.234826+4 1.274297-4 1.240969+4 1.276063-4 1.244218+4 1.277307-4 1.239827+4 1.278606-4 1.229518+4 1.279977-4 1.212592+4 1.281542-4 1.186212+4 1.282821-4 1.159601+4 1.284534-4 1.117752+4 1.286010-4 1.076970+4 1.287915-4 1.019305+4 1.289916-4 9.546925+3 1.290583-4 9.326026+3 1.293632-4 8.308376+3 1.296121-4 7.499257+3 1.300600-4 6.177604+3 1.304306-4 5.263863+3 1.306502-4 4.806043+3 1.308127-4 4.506249+3 1.309694-4 4.247136+3 1.312101-4 3.901520+3 1.313937-4 3.676553+3 1.315078-4 3.551781+3 1.318291-4 3.254112+3 1.322170-4 2.980069+3 1.324450-4 2.852320+3 1.327767-4 2.699802+3 1.330695-4 2.590483+3 1.333600-4 2.499916+3 1.335480-4 2.448789+3 1.338228-4 2.382602+3 1.341683-4 2.310695+3 1.346096-4 2.232268+3 1.354143-4 2.113672+3 1.366809-4 1.960049+3 1.380326-4 1.821113+3 1.387926-4 1.752828+3 1.398411-4 1.670426+3 1.407989-4 1.607479+3 1.415042-4 1.569110+3 1.423958-4 1.530614+3 1.432411-4 1.503593+3 1.438875-4 1.487731+3 1.447000-4 1.471509+3 1.472000-4 1.432098+3 1.496686-4 1.403668+3 1.518000-4 1.386504+3 1.579919-4 1.352411+3 1.620000-4 1.327818+3 1.670764-4 1.289788+3 1.744455-4 1.230893+3 1.846078-4 1.149717+3 1.978246-4 1.050504+3 2.150220-4 9.355692+2 2.250000-4 8.753798+2 2.310995-4 8.386392+2 2.374498-4 8.002690+2 2.389719-4 7.958310+2 2.411078-4 7.964373+2 2.430291-4 7.963356+2 2.445494-4 7.903967+2 2.480991-4 7.660020+2 2.500000-4 7.596729+2 2.523238-4 7.596599+2 2.545000-4 7.610874+2 2.621440-4 7.555152+2 2.692485-4 7.444338+2 2.772746-4 7.296505+2 2.870000-4 7.102180+2 2.968395-4 6.896264+2 3.055556-4 6.705249+2 3.150919-4 6.459708+2 3.206347-4 6.358276+2 3.276448-4 6.170328+2 3.298340-4 6.140133+2 3.330766-4 6.133946+2 3.374637-4 6.137650+2 3.513348-4 6.038195+2 3.747991-4 5.746664+2 3.892447-4 5.528058+2 4.008423-4 5.321705+2 4.093269-4 5.218788+2 4.240000-4 5.007678+2 4.433813-4 4.656685+2 4.579112-4 4.359741+2 4.705577-4 4.071838+2 4.850091-4 3.705064+2 4.959542-4 3.409852+2 5.008848-4 3.269742+2 5.043307-4 3.157095+2 5.124203-4 2.887015+2 5.184561-4 2.713924+2 5.211949-4 2.626846+2 5.257812-4 2.466874+2 5.308844-4 2.290446+2 5.363265-4 2.107886+2 5.400000-4 1.979943+2 5.432503-4 1.862489+2 5.465000-4 1.743367+2 5.524977-4 1.530788+2 5.553750-4 1.438335+2 5.580000-4 1.363040+2 5.604035-4 1.303885+2 5.623413-4 1.264371+2 5.650000-4 1.223993+2 5.670482-4 1.205207+2 5.691330-4 1.198304+2 5.714980-4 1.206691+2 5.737047-4 1.231225+2 5.760391-4 1.275870+2 5.778069-4 1.323081+2 5.805500-4 1.420104+2 5.832000-4 1.542024+2 5.864435-4 1.729608+2 5.901864-4 1.998635+2 5.991009-4 2.856105+2 6.037786-4 3.413053+2 6.068339-4 3.809410+2 6.084600-4 4.029485+2 6.114170-4 4.443779+2 6.132500-4 4.708452+2 6.170480-4 5.271616+2 6.205000-4 5.795573+2 6.217485-4 5.986875+2 6.250000-4 6.487495+2 6.268400-4 6.771321+2 6.300000-4 7.257715+2 6.354136-4 8.081799+2 6.400000-4 8.764908+2 6.455000-4 9.559330+2 6.531306-4 1.060929+3 6.606934-4 1.158509+3 6.678024-4 1.243903+3 6.755561-4 1.329883+3 6.835000-4 1.410580+3 6.945000-4 1.511490+3 7.021500-4 1.575362+3 7.124467-4 1.654335+3 7.268285-4 1.753161+3 7.388324-4 1.826024+3 7.515947-4 1.894980+3 7.663126-4 1.964020+3 7.864320-4 2.045271+3 8.041845-4 2.103460+3 8.246126-4 2.156355+3 8.438204-4 2.191464+3 8.611909-4 2.242961+3 8.631123-4 2.260909+3 8.673726-4 2.319624+3 8.716084-4 2.402615+3 8.737535-4 2.449706+3 8.796476-4 2.560311+3 8.819707-4 2.582488+3 8.840737-4 2.587352+3 8.861567-4 2.577413+3 8.888624-4 2.544997+3 8.969869-4 2.390308+3 8.991784-4 2.355255+3 9.013258-4 2.329546+3 9.052696-4 2.307196+3 9.095597-4 2.316300+3 9.157800-4 2.373487+3 9.183579-4 2.407816+3 9.236029-4 2.491981+3 9.300993-4 2.610454+3 9.357057-4 2.697658+3 9.385283-4 2.725896+3 9.406030-4 2.738031+3 9.428557-4 2.742988+3 9.455621-4 2.739220+3 9.540831-4 2.699492+3 9.569968-4 2.691359+3 9.627429-4 2.696605+3 9.697411-4 2.732318+3 9.793704-4 2.793440+3 9.944694-4 2.868231+3 1.015401-3 2.945161+3 1.044119-3 3.028562+3 1.082019-3 3.112709+3 1.123898-3 3.181561+3 1.160710-3 3.219812+3 1.210377-3 3.239656+3 1.228122-3 3.263201+3 1.242077-3 3.301679+3 1.261527-3 3.383034+3 1.275949-3 3.431918+3 1.299211-3 3.482787+3 1.334004-3 3.533344+3 1.372461-3 3.572158+3 1.426326-3 3.606970+3 1.476640-3 3.625855+3 1.556043-3 3.639496+3 1.592780-3 3.658804+3 1.642628-3 3.668550+3 1.709388-3 3.659571+3 1.729407-3 3.662335+3 1.780360-3 3.687956+3 1.841434-3 3.690921+3 1.906293-3 3.682188+3 2.005953-3 3.659787+3 2.103064-3 3.629164+3 2.220000-3 3.580421+3 2.340858-3 3.524062+3 2.472643-3 3.452608+3 2.606720-3 3.373737+3 2.770627-3 3.272800+3 2.922680-3 3.166318+3 3.073974-3 3.054105+3 3.220097-3 2.935738+3 3.347245-3 2.825420+3 3.469864-3 2.709744+3 3.572175-3 2.603212+3 3.665109-3 2.496490+3 3.743186-3 2.396698+3 3.803585-3 2.310562+3 3.859780-3 2.219825+3 3.908724-3 2.128554+3 3.946689-3 2.046394+3 3.981812-3 1.957406+3 4.009380-3 1.876614+3 4.068700-3 1.692729+3 4.084859-3 1.656052+3 4.099362-3 1.634885+3 4.109015-3 1.628132+3 4.118910-3 1.627699+3 4.129040-3 1.634047+3 4.138699-3 1.646161+3 4.148030-3 1.662903+3 4.164315-3 1.701556+3 4.204573-3 1.817317+3 4.218529-3 1.853714+3 4.231819-3 1.883595+3 4.246771-3 1.911330+3 4.279578-3 1.956507+3 4.312087-3 1.999142+3 4.331708-3 2.032914+3 4.350723-3 2.074448+3 4.373020-3 2.134809+3 4.396528-3 2.210095+3 4.434810-3 2.343810+3 4.455335-3 2.411887+3 4.471292-3 2.459814+3 4.493422-3 2.517499+3 4.519088-3 2.571926+3 4.551190-3 2.624670+3 4.590533-3 2.672826+3 4.629636-3 2.707837+3 4.680010-3 2.738682+3 4.727259-3 2.755335+3 4.776350-3 2.760233+3 4.817588-3 2.753270+3 4.898512-3 2.718216+3 4.917034-3 2.714814+3 4.937541-3 2.718740+3 4.966439-3 2.741753+3 4.989156-3 2.773593+3 5.053590-3 2.889347+3 5.077779-3 2.927206+3 5.106033-3 2.962881+3 5.141167-3 2.995985+3 5.180037-3 3.022446+3 5.231717-3 3.047697+3 5.297814-3 3.070277+3 5.354569-3 3.083285+3 5.448162-3 3.095462+3 5.615181-3 3.095184+3 5.779297-3 3.075647+3 5.867692-3 3.056849+3 5.943129-3 3.034511+3 6.081898-3 2.978231+3 6.146551-3 2.964459+3 6.289192-3 2.978444+3 6.376607-3 2.971471+3 6.506252-3 2.948537+3 6.726862-3 2.960310+3 6.928273-3 2.939970+3 7.157918-3 2.901293+3 7.507716-3 2.831125+3 7.993418-3 2.722029+3 8.505258-3 2.604424+3 9.213012-3 2.441268+3 1.020352-2 2.226495+3 1.097860-2 2.072480+3 1.196224-2 1.893218+3 1.306644-2 1.713297+3 1.416900-2 1.553114+3 1.469561-2 1.482163+3 1.530675-2 1.403407+3 1.584893-2 1.336146+3 1.637314-2 1.273061+3 1.684380-2 1.217482+3 1.725794-2 1.168836+3 1.760293-2 1.127780+3 1.789617-2 1.092032+3 1.814471-2 1.060624+3 1.836116-2 1.031730+3 1.853955-2 1.006095+3 1.869560-2 9.814297+2 1.881861-2 9.594972+2 1.891711-2 9.395366+2 1.906359-2 9.051833+2 1.925024-2 8.596542+2 1.933081-2 8.450428+2 1.940727-2 8.371472+2 1.947483-2 8.359094+2 1.954747-2 8.404036+2 1.963373-2 8.518401+2 1.982397-2 8.851927+2 1.989722-2 8.964069+2 2.002498-2 9.110052+2 2.012082-2 9.181044+2 2.022290-2 9.229271+2 2.036266-2 9.263961+2 2.050904-2 9.274783+2 2.069322-2 9.264004+2 2.089507-2 9.230511+2 2.111339-2 9.175658+2 2.162719-2 8.995807+2 2.196687-2 8.849328+2 2.252975-2 8.571565+2 2.305900-2 8.269880+2 2.330053-2 8.114838+2 2.348659-2 7.984242+2 2.366066-2 7.848722+2 2.380889-2 7.718260+2 2.401875-2 7.505000+2 2.428914-2 7.227744+2 2.441076-2 7.142351+2 2.452523-2 7.100593+2 2.465182-2 7.095109+2 2.531713-2 7.226626+2 2.582994-2 7.385706+2 2.606517-2 7.417937+2 2.644744-2 7.410900+2 2.698777-2 7.344291+2 2.752408-2 7.247818+2 2.826117-2 7.091872+2 2.953317-2 6.793540+2 3.130711-2 6.364148+2 3.382404-2 5.790361+2 3.725100-2 5.104943+2 4.052059-2 4.540895+2 4.435707-2 3.976761+2 4.945997-2 3.368457+2 5.310259-2 3.009888+2 5.781226-2 2.616890+2 6.552715-2 2.112834+2 7.745130-2 1.575899+2 8.758508-2 1.264190+2 9.919850-2 1.005454+2 1.080061-1 8.541474+1 1.120263-1 7.939796+1 1.154670-1 7.458363+1 1.205671-1 6.785494+1 1.240967-1 6.329344+1 1.254679-1 6.146921+1 1.265422-1 5.997626+1 1.274653-1 5.860706+1 1.282152-1 5.739354+1 1.292369-1 5.552989+1 1.309616-1 5.220099+1 1.314836-1 5.146466+1 1.320488-1 5.098545+1 1.326570-1 5.087634+1 1.333514-1 5.117924+1 1.350515-1 5.249352+1 1.360500-1 5.294464+1 1.373801-1 5.307944+1 1.393920-1 5.275259+1 1.420496-1 5.190832+1 1.459073-1 5.034614+1 1.507117-1 4.823838+1 1.587831-1 4.466719+1 1.703722-1 3.990874+1 1.882480-1 3.372188+1 2.166806-1 2.635414+1 2.578037-1 1.926580+1 3.056824-1 1.408631+1 3.804262-1 9.355528+0 4.997468-1 5.568835+0 6.938251-1 2.959780+0 1.120601+0 1.164600+0 1.696098+0 5.156023-1 2.814822+0 1.888472-1 6.755256+0 3.294702-2 2.039158+1 3.617934-3 6.158159+1 3.966972-4 1.859734+2 4.349694-5 5.616308+2 4.769343-6 1.995262+3 3.778856-7 6.309573+3 3.778856-8 1.995262+4 3.778856-9 6.309573+4 3.77886-10 1.000000+5 1.50439-10 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.634000-6 1.258900-6 4.174500-6 1.584900-6 6.616200-6 1.995300-6 1.048600-5 2.511900-6 1.661900-5 3.162300-6 2.633900-5 3.981100-6 4.174500-5 5.011900-6 6.616100-5 6.309600-6 1.048600-4 7.943300-6 1.661900-4 1.000000-5 2.633800-4 1.258900-5 4.174300-4 1.584900-5 6.612600-4 1.995300-5 1.047400-3 2.511900-5 1.659200-3 3.162300-5 2.628600-3 3.981100-5 4.164900-3 5.011900-5 6.599500-3 6.309600-5 1.045700-2 7.943300-5 1.654500-2 1.000000-4 2.616700-2 1.258900-4 4.138000-2 1.584900-4 6.527400-2 1.995300-4 1.027800-1 2.511900-4 1.611500-1 3.162300-4 2.511400-1 3.981100-4 3.875100-1 5.011900-4 5.867900-1 6.309600-4 8.691800-1 7.943300-4 1.248200+0 1.000000-3 1.732900+0 1.258900-3 2.336600+0 1.584900-3 3.087900+0 1.995300-3 4.039400+0 2.511900-3 5.220000+0 3.162300-3 6.652300+0 3.981100-3 8.348100+0 5.011900-3 1.031200+1 6.309600-3 1.252900+1 7.943300-3 1.502500+1 1.000000-2 1.785000+1 1.258900-2 2.095900+1 1.584900-2 2.421400+1 1.995300-2 2.739800+1 2.511900-2 3.038200+1 3.162300-2 3.321100+1 3.981100-2 3.571400+1 5.011900-2 3.773500+1 6.309600-2 3.911600+1 7.943300-2 3.979700+1 1.000000-1 3.980400+1 1.258900-1 3.917500+1 1.584900-1 3.792600+1 1.995300-1 3.629000+1 2.511900-1 3.426500+1 3.162300-1 3.203800+1 3.981100-1 2.968200+1 5.011900-1 2.727400+1 6.309600-1 2.487300+1 7.943300-1 2.252600+1 1.000000+0 2.026100+1 1.258900+0 1.810000+1 1.584900+0 1.605900+1 1.995300+0 1.415200+1 2.511900+0 1.239100+1 3.162300+0 1.077900+1 3.981100+0 9.321100+0 5.011900+0 8.014400+0 6.309600+0 6.854000+0 7.943300+0 5.833900+0 1.000000+1 4.943100+0 1.258900+1 4.171400+0 1.584900+1 3.507200+0 1.995300+1 2.939000+0 2.511900+1 2.455400+0 3.162300+1 2.045800+0 3.981100+1 1.700400+0 5.011900+1 1.410200+0 6.309600+1 1.167100+0 7.943300+1 9.642100-1 1.000000+2 7.952600-1 1.258900+2 6.549100-1 1.584900+2 5.385900-1 1.995300+2 4.423600-1 2.511900+2 3.629000-1 3.162300+2 2.973900-1 3.981100+2 2.434600-1 5.011900+2 1.991200-1 6.309600+2 1.627200-1 7.943300+2 1.328600-1 1.000000+3 1.084000-1 1.258900+3 8.837700-2 1.584900+3 7.200400-2 1.995300+3 5.862600-2 2.511900+3 4.770500-2 3.162300+3 3.879600-2 3.981100+3 3.153300-2 5.011900+3 2.561700-2 6.309600+3 2.080000-2 7.943300+3 1.688100-2 1.000000+4 1.369400-2 1.258900+4 1.110400-2 1.584900+4 8.999600-3 1.995300+4 7.291300-3 2.511900+4 5.905100-3 3.162300+4 4.780600-3 3.981100+4 3.868800-3 5.011900+4 3.129900-3 6.309600+4 2.531200-3 7.943300+4 2.046400-3 1.000000+5 1.654000-3 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510165-4 3.162278-4 3.159556-4 3.981072-4 3.976774-4 5.011872-4 5.005106-4 6.309573-4 6.298945-4 7.943282-4 7.926650-4 1.000000-3 9.974049-4 1.258925-3 1.254878-3 1.584893-3 1.578558-3 1.995262-3 1.985337-3 2.511886-3 2.496305-3 3.162278-3 3.137801-3 3.981072-3 3.942800-3 5.011872-3 4.952036-3 6.309573-3 6.216050-3 7.943282-3 7.797369-3 1.000000-2 9.772603-3 1.258925-2 1.223498-2 1.584893-2 1.529954-2 1.995262-2 1.910601-2 2.511886-2 2.381979-2 3.162278-2 2.963805-2 3.981072-2 3.678986-2 5.011872-2 4.555002-2 6.309573-2 5.624674-2 7.943282-2 6.926423-2 1.000000-1 8.500704-2 1.258925-1 1.040080-1 1.584893-1 1.269387-1 1.995262-1 1.542196-1 2.511886-1 1.869731-1 3.162278-1 2.258070-1 3.981072-1 2.719082-1 5.011872-1 3.264565-1 6.309573-1 3.908231-1 7.943282-1 4.667039-1 1.000000+0 5.559187-1 1.258925+0 6.611709-1 1.584893+0 7.854824-1 1.995262+0 9.324933-1 2.511886+0 1.107014+0 3.162278+0 1.314697+0 3.981072+0 1.562655+0 5.011872+0 1.859528+0 6.309573+0 2.215757+0 7.943282+0 2.644184+0 1.000000+1 3.160803+0 1.258925+1 3.785005+0 1.584893+1 4.540086+0 1.995262+1 5.455364+0 2.511886+1 6.566146+0 3.162278+1 7.916156+0 3.981072+1 9.558649+0 5.011872+1 1.155950+1 6.309573+1 1.399925+1 7.943282+1 1.697685+1 1.000000+2 2.061431+1 1.258925+2 2.506163+1 1.584893+2 3.050306+1 1.995262+2 3.716674+1 2.511886+2 4.533167+1 3.162278+2 5.534426+1 3.981072+2 6.762900+1 5.011872+2 8.271235+1 6.309573+2 1.012419+2 7.943282+2 1.240178+2 1.000000+3 1.520264+2 1.258925+3 1.864903+2 1.584893+3 2.289182+2 1.995262+3 2.811763+2 2.511886+3 3.455587+2 3.162278+3 4.249277+2 3.981072+3 5.228160+2 5.011872+3 6.435767+2 6.309573+3 7.926365+2 7.943282+3 9.766719+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88202-10 1.995262-5 1.090640-9 2.511886-5 1.728519-9 3.162278-5 2.739544-9 3.981072-5 4.341920-9 5.011872-5 6.881444-9 6.309573-5 1.090603-8 7.943282-5 1.727703-8 1.000000-4 2.737451-8 1.258925-4 4.337667-8 1.584893-4 6.869284-8 1.995262-4 1.087731-7 2.511886-4 1.721419-7 3.162278-4 2.721908-7 3.981072-4 4.297600-7 5.011872-4 6.766457-7 6.309573-4 1.062881-6 7.943282-4 1.663218-6 1.000000-3 2.595133-6 1.258925-3 4.046971-6 1.584893-3 6.335188-6 1.995262-3 9.924948-6 2.511886-3 1.558107-5 3.162278-3 2.447656-5 3.981072-3 3.827162-5 5.011872-3 5.983616-5 6.309573-3 9.352363-5 7.943282-3 1.459136-4 1.000000-2 2.273967-4 1.258925-2 3.542715-4 1.584893-2 5.493929-4 1.995262-2 8.466097-4 2.511886-2 1.299069-3 3.162278-2 1.984722-3 3.981072-2 3.020857-3 5.011872-2 4.568701-3 6.309573-2 6.848993-3 7.943282-2 1.016860-2 1.000000-1 1.499296-2 1.258925-1 2.188457-2 1.584893-1 3.155065-2 1.995262-1 4.530663-2 2.511886-1 6.421557-2 3.162278-1 9.042074-2 3.981072-1 1.261990-1 5.011872-1 1.747307-1 6.309573-1 2.401342-1 7.943282-1 3.276243-1 1.000000+0 4.440813-1 1.258925+0 5.977546-1 1.584893+0 7.994108-1 1.995262+0 1.062769+0 2.511886+0 1.404873+0 3.162278+0 1.847581+0 3.981072+0 2.418417+0 5.011872+0 3.152345+0 6.309573+0 4.093817+0 7.943282+0 5.299099+0 1.000000+1 6.839197+0 1.258925+1 8.804249+0 1.584893+1 1.130885+1 1.995262+1 1.449726+1 2.511886+1 1.855272+1 3.162278+1 2.370662+1 3.981072+1 3.025207+1 5.011872+1 3.855922+1 6.309573+1 4.909649+1 7.943282+1 6.245597+1 1.000000+2 7.938569+1 1.258925+2 1.008309+2 1.584893+2 1.279863+2 1.995262+2 1.623595+2 2.511886+2 2.058570+2 3.162278+2 2.608835+2 3.981072+2 3.304782+2 5.011872+2 4.184749+2 6.309573+2 5.297155+2 7.943282+2 6.703104+2 1.000000+3 8.479736+2 1.258925+3 1.072435+3 1.584893+3 1.355975+3 1.995262+3 1.714086+3 2.511886+3 2.166328+3 3.162278+3 2.737350+3 3.981072+3 3.458256+3 5.011872+3 4.368296+3 6.309573+3 5.516937+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 3.850000-6 6.200943+6 3.960000-6 6.301800+6 4.168694-6 6.431918+6 4.415704-6 6.531256+6 4.600000-6 6.569523+6 4.600000-6 9.279399+6 4.640000-6 9.329615+6 4.700000-6 9.383753+6 4.841724-6 9.488770+6 5.011872-6 9.598189+6 5.069907-6 9.630069+6 5.270000-6 9.713455+6 5.432503-6 9.764403+6 5.600000-6 9.799455+6 5.888437-6 9.836020+6 5.956621-6 9.840599+6 6.237348-6 9.833901+6 6.280000-6 9.830651+6 6.280000-6 2.071469+7 6.531306-6 1.947569+7 6.606934-6 1.911529+7 7.079458-6 1.717817+7 7.200000-6 1.675831+7 7.585776-6 1.556376+7 7.852356-6 1.485664+7 8.035261-6 1.441203+7 8.200000-6 1.404747+7 8.609938-6 1.323147+7 8.810489-6 1.287041+7 9.332543-6 1.203481+7 9.440609-6 1.187567+7 9.500000-6 1.178856+7 1.000000-5 1.112732+7 1.011579-5 1.098360+7 1.071519-5 1.029483+7 1.109175-5 9.887909+6 1.135011-5 9.633100+6 1.150000-5 9.488050+6 1.202264-5 9.000344+6 1.216186-5 8.875662+6 1.273503-5 8.379126+6 1.284000-5 8.291120+6 1.284000-5 9.448877+6 1.288250-5 9.407614+6 1.290000-5 9.390809+6 1.310000-5 9.195422+6 1.350000-5 8.836546+6 1.364583-5 8.708305+6 1.412538-5 8.301784+6 1.420000-5 8.242793+6 1.445440-5 8.040918+6 1.453000-5 7.980321+6 1.453000-5 8.659121+6 1.462177-5 8.582303+6 1.479108-5 8.446169+6 1.480000-5 8.439134+6 1.500000-5 8.285558+6 1.513561-5 8.181043+6 1.531087-5 8.052232+6 1.548817-5 7.920768+6 1.566751-5 7.792810+6 1.584893-5 7.669749+6 1.610000-5 7.500508+6 1.621810-5 7.425540+6 1.659587-5 7.186950+6 1.678804-5 7.072137+6 1.710000-5 6.894097+6 1.717908-5 6.851446+6 1.737801-5 6.744329+6 1.757924-5 6.636456+6 1.770000-5 6.574869+6 1.800000-5 6.429495+6 1.819701-5 6.340275+6 1.840772-5 6.246433+6 1.850000-5 6.205161+6 1.870000-5 6.120481+6 1.883649-5 6.065480+6 1.905461-5 5.980740+6 1.920000-5 5.928068+6 1.927525-5 5.901970+6 1.950000-5 5.823465+6 1.972423-5 5.746213+6 1.980000-5 5.721924+6 2.041738-5 5.543513+6 2.065380-5 5.486258+6 2.070000-5 5.475010+6 2.090000-5 5.426196+6 2.113489-5 5.373670+6 2.150000-5 5.303280+6 2.190000-5 5.237967+6 2.213095-5 5.205376+6 2.270000-5 5.137353+6 2.317395-5 5.102701+6 2.350000-5 5.085887+6 2.371374-5 5.078369+6 2.400000-5 5.074880+6 2.426610-5 5.074111+6 2.483133-5 5.088132+6 2.511886-5 5.103869+6 2.540973-5 5.125755+6 2.600160-5 5.180936+6 2.610000-5 5.191341+6 2.650000-5 5.240747+6 2.730000-5 5.365803+6 2.751000-5 5.404561+6 2.751000-5 2.182881+7 2.754229-5 2.175863+7 2.786121-5 2.109141+7 2.818383-5 2.046141+7 2.884032-5 1.937656+7 2.917427-5 1.888070+7 2.951209-5 1.841560+7 3.019952-5 1.761425+7 3.054921-5 1.724979+7 3.090295-5 1.690985+7 3.162278-5 1.633308+7 3.198895-5 1.607746+7 3.235937-5 1.583867+7 3.273407-5 1.561799+7 3.300000-5 1.548245+7 3.350000-5 1.525561+7 3.427678-5 1.495820+7 3.507519-5 1.472085+7 3.548134-5 1.461948+7 3.589219-5 1.453714+7 3.590900-5 1.453413+7 3.672823-5 1.440936+7 3.758374-5 1.432353+7 3.801894-5 1.429607+7 3.850000-5 1.428141+7 3.900000-5 1.427147+7 3.935501-5 1.427392+7 4.027170-5 1.430301+7 4.073803-5 1.432573+7 4.101000-5 1.434072+7 4.101000-5 2.084176+7 4.150000-5 2.069560+7 4.180000-5 2.061502+7 4.216965-5 2.051142+7 4.220000-5 2.050337+7 4.265795-5 2.037371+7 4.330000-5 2.021671+7 4.415704-5 2.003939+7 4.518559-5 1.984752+7 4.570882-5 1.977205+7 4.623810-5 1.970976+7 4.650000-5 1.968031+7 4.677351-5 1.964736+7 4.841724-5 1.951720+7 4.900000-5 1.948478+7 5.000000-5 1.943860+7 5.080000-5 1.942518+7 5.128614-5 1.942044+7 5.188000-5 1.942386+7 5.248075-5 1.942142+7 5.308844-5 1.942988+7 5.400000-5 1.944677+7 5.432503-5 1.945724+7 5.500000-5 1.947266+7 5.580000-5 1.949800+7 5.623413-5 1.951081+7 5.688529-5 1.953639+7 5.754399-5 1.955477+7 5.821032-5 1.958174+7 5.888437-5 1.960514+7 5.956621-5 1.963243+7 6.095369-5 1.967186+7 6.165950-5 1.968861+7 6.220000-5 1.970498+7 6.237348-5 1.970622+7 6.279000-5 1.971108+7 6.279000-5 2.010730+7 6.309573-5 2.010722+7 6.382635-5 2.009506+7 6.405000-5 2.009163+7 6.456542-5 2.008551+7 6.531306-5 2.006061+7 6.683439-5 1.999604+7 6.760830-5 1.994976+7 6.839116-5 1.989169+7 6.918310-5 1.983726+7 7.000000-5 1.976269+7 7.161434-5 1.959509+7 7.244360-5 1.949283+7 7.328245-5 1.937588+7 7.413102-5 1.926181+7 7.500000-5 1.912575+7 7.585776-5 1.897746+7 7.673615-5 1.883073+7 7.762471-5 1.866240+7 7.943282-5 1.829784+7 8.000000-5 1.817297+7 8.035261-5 1.809640+7 8.128305-5 1.788115+7 8.222426-5 1.766932+7 8.230000-5 1.765257+7 8.317638-5 1.744132+7 8.413951-5 1.719815+7 8.511380-5 1.695892+7 8.609938-5 1.670302+7 8.650000-5 1.659404+7 8.810489-5 1.617042+7 8.912509-5 1.588934+7 9.015711-5 1.559631+7 9.120108-5 1.530962+7 9.225714-5 1.500819+7 9.332543-5 1.469748+7 9.400000-5 1.450659+7 9.500000-5 1.421479+7 9.549926-5 1.406597+7 9.660509-5 1.374502+7 9.800000-5 1.333516+7 9.950000-5 1.289499+7 1.000000-4 1.274553+7 1.011579-4 1.240895+7 1.023293-4 1.206762+7 1.035142-4 1.171990+7 1.040000-4 1.158139+7 1.050000-4 1.129222+7 1.060000-4 1.100018+7 1.071519-4 1.067653+7 1.080000-4 1.043799+7 1.100000-4 9.881149+6 1.110000-4 9.609302+6 1.122018-4 9.283072+6 1.128000-4 9.126176+6 1.143000-4 8.736025+6 1.150000-4 8.554759+6 1.161449-4 8.268911+6 1.174898-4 7.939386+6 1.190000-4 7.577350+6 1.205000-4 7.229850+6 1.220000-4 6.891794+6 1.230269-4 6.666318+6 1.240000-4 6.461360+6 1.253700-4 6.177992+6 1.273503-4 5.786046+6 1.290000-4 5.475692+6 1.303167-4 5.237119+6 1.303500-4 5.231107+6 1.303500-4 6.074125+6 1.307000-4 6.043556+6 1.313000-4 5.993032+6 1.318257-4 5.957609+6 1.323000-4 5.929964+6 1.330000-4 5.898609+6 1.333521-4 5.885075+6 1.340000-4 5.866671+6 1.350000-4 5.843141+6 1.358000-4 5.829218+6 1.364583-4 5.818113+6 1.365000-4 5.817653+6 1.373000-4 5.797428+6 1.380384-4 5.774747+6 1.387000-4 5.749644+6 1.395000-4 5.711955+6 1.400000-4 5.682142+6 1.403000-4 5.663350+6 1.411000-4 5.602578+6 1.412538-4 5.588895+6 1.419000-4 5.533080+6 1.423900-4 5.484335+6 1.423900-4 6.029403+6 1.428894-4 5.999250+6 1.430000-4 5.991321+6 1.435700-4 5.955974+6 1.436000-4 5.953841+6 1.440000-4 5.928791+6 1.445440-4 5.897305+6 1.447000-4 5.886852+6 1.458000-4 5.827908+6 1.471000-4 5.762850+6 1.472000-4 5.758332+6 1.479108-4 5.723729+6 1.480000-4 5.719861+6 1.485000-4 5.694356+6 1.487000-4 5.683765+6 1.495000-4 5.639693+6 1.500000-4 5.611042+6 1.502000-4 5.599266+6 1.510000-4 5.547527+6 1.513561-4 5.522228+6 1.518000-4 5.491238+6 1.520000-4 5.475568+6 1.525000-4 5.434611+6 1.532000-4 5.373239+6 1.540000-4 5.298780+6 1.548817-4 5.211750+6 1.550000-4 5.199394+6 1.555000-4 5.145646+6 1.560000-4 5.089274+6 1.565000-4 5.033327+6 1.575000-4 4.916941+6 1.584893-4 4.799886+6 1.585000-4 4.798606+6 1.600000-4 4.615051+6 1.615000-4 4.431848+6 1.621810-4 4.349209+6 1.635000-4 4.193502+6 1.640590-4 4.127008+6 1.659587-4 3.909389+6 1.660000-4 3.904832+6 1.678804-4 3.698338+6 1.698244-4 3.495610+6 1.717908-4 3.300139+6 1.720000-4 3.280032+6 1.735900-4 3.130448+6 1.740000-4 3.093007+6 1.757924-4 2.933773+6 1.770000-4 2.831860+6 1.778279-4 2.764185+6 1.780000-4 2.750390+6 1.790000-4 2.670003+6 1.800000-4 2.592168+6 1.819701-4 2.446420+6 1.820000-4 2.444294+6 1.826000-4 2.401531+6 1.835000-4 2.338791+6 1.840772-4 2.299440+6 1.865000-4 2.143577+6 1.900000-4 1.937087+6 1.905461-4 1.907107+6 1.930000-4 1.779122+6 1.940000-4 1.729839+6 1.950000-4 1.681833+6 1.972423-4 1.580665+6 1.980000-4 1.548701+6 2.000000-4 1.467718+6 2.020000-4 1.392518+6 2.041738-4 1.316210+6 2.065380-4 1.240765+6 2.113489-4 1.104677+6 2.120000-4 1.088147+6 2.137962-4 1.044969+6 2.153900-4 1.008692+6 2.162719-4 9.894984+5 2.170000-4 9.742685+5 2.180000-4 9.539478+5 2.187762-4 9.386957+5 2.205000-4 9.060795+5 2.213095-4 8.914781+5 2.220000-4 8.792858+5 2.231500-4 8.602537+5 2.240000-4 8.466237+5 2.250000-4 8.310995+5 2.255000-4 8.235254+5 2.264644-4 8.092941+5 2.270000-4 8.015455+5 2.280000-4 7.875574+5 2.285000-4 7.808565+5 2.290868-4 7.731622+5 2.291400-4 7.724700+5 2.300000-4 7.614737+5 2.307000-4 7.527712+5 2.317395-4 7.401833+5 2.323000-4 7.336950+5 2.335000-4 7.201701+5 2.340000-4 7.146976+5 2.344229-4 7.101544+5 2.350000-4 7.041956+5 2.358000-4 6.961373+5 2.365000-4 6.892563+5 2.371374-4 6.831402+5 2.373000-4 6.815929+5 2.380000-4 6.750500+5 2.390000-4 6.659690+5 2.398833-4 6.581779+5 2.400000-4 6.571720+5 2.407000-4 6.515013+5 2.418600-4 6.423699+5 2.423000-4 6.390068+5 2.440000-4 6.264205+5 2.454709-4 6.161399+5 2.458000-4 6.139672+5 2.465000-4 6.094532+5 2.480000-4 6.001353+5 2.483133-4 5.982512+5 2.486200-4 5.964790+5 2.486200-4 9.225667+5 2.490000-4 9.197227+5 2.500000-4 9.124129+5 2.511886-4 9.039820+5 2.520000-4 8.985476+5 2.540973-4 8.851656+5 2.560000-4 8.736202+5 2.570396-4 8.677398+5 2.600160-4 8.524595+5 2.630268-4 8.381383+5 2.644700-4 8.321562+5 2.650000-4 8.300270+5 2.691535-4 8.142143+5 2.722701-4 8.044799+5 2.754229-4 7.952431+5 2.785000-4 7.873495+5 2.786121-4 7.870679+5 2.818383-4 7.792137+5 2.830000-4 7.769048+5 2.851018-4 7.728047+5 2.870000-4 7.692475+5 2.884032-4 7.669768+5 2.900000-4 7.648308+5 2.930000-4 7.610289+5 2.951209-4 7.584399+5 2.985383-4 7.553392+5 3.000000-4 7.540244+5 3.015000-4 7.526798+5 3.019952-4 7.523201+5 3.030000-4 7.517191+5 3.050000-4 7.508655+5 3.054921-4 7.506332+5 3.090295-4 7.489894+5 3.100000-4 7.486925+5 3.126079-4 7.476669+5 3.162278-4 7.469378+5 3.198895-4 7.462273+5 3.235937-4 7.458028+5 3.240000-4 7.457046+5 3.292600-4 7.455356+5 3.292600-4 8.662782+5 3.311311-4 8.642249+5 3.320000-4 8.631561+5 3.340000-4 8.609177+5 3.358400-4 8.592657+5 3.388442-4 8.567538+5 3.390000-4 8.566399+5 3.400000-4 8.558507+5 3.427678-4 8.534980+5 3.430000-4 8.533233+5 3.470000-4 8.499591+5 3.500000-4 8.471516+5 3.507519-4 8.464607+5 3.530000-4 8.444596+5 3.548134-4 8.428155+5 3.550000-4 8.426604+5 3.600000-4 8.384600+5 3.650000-4 8.344614+5 3.672823-4 8.326268+5 3.680000-4 8.320964+5 3.690000-4 8.314496+5 3.758374-4 8.268570+5 3.801894-4 8.241103+5 3.850000-4 8.210995+5 3.935501-4 8.159174+5 3.981072-4 8.130707+5 4.000000-4 8.118365+5 4.000700-4 8.117915+5 4.008700-4 8.113094+5 4.008700-4 8.554431+5 4.027170-4 8.541714+5 4.073803-4 8.511629+5 4.100000-4 8.493549+5 4.120975-4 8.478675+5 4.168694-4 8.444527+5 4.216965-4 8.411537+5 4.240000-4 8.394748+5 4.265795-4 8.375191+5 4.315191-4 8.338820+5 4.365158-4 8.303485+5 4.415704-4 8.264469+5 4.466836-4 8.224602+5 4.518559-4 8.185500+5 4.570882-4 8.142119+5 4.623810-4 8.099576+5 4.677351-4 8.058555+5 4.700000-4 8.039578+5 4.731513-4 8.013040+5 4.786301-4 7.966023+5 4.841724-4 7.919897+5 4.954502-4 7.820224+5 5.011872-4 7.772123+5 5.069907-4 7.722611+5 5.122700-4 7.673517+5 5.122700-4 8.395624+5 5.126000-4 8.385031+5 5.128614-4 8.378602+5 5.135000-4 8.363010+5 5.145000-4 8.342526+5 5.150000-4 8.334212+5 5.155000-4 8.325988+5 5.168000-4 8.308305+5 5.190000-4 8.285046+5 5.220000-4 8.258927+5 5.248075-4 8.237548+5 5.260000-4 8.228570+5 5.280000-4 8.215971+5 5.280200-4 8.215876+5 5.280200-4 8.690972+5 5.283000-4 8.692396+5 5.295000-4 8.691916+5 5.300000-4 8.690725+5 5.308844-4 8.690324+5 5.315000-4 8.689407+5 5.330000-4 8.690437+5 5.340000-4 8.693743+5 5.345000-4 8.695149+5 5.360000-4 8.703892+5 5.370318-4 8.713358+5 5.374000-4 8.716867+5 5.385000-4 8.730849+5 5.385800-4 8.731858+5 5.400000-4 8.754681+5 5.415000-4 8.785764+5 5.432503-4 8.832045+5 5.435000-4 8.839991+5 5.450000-4 8.891599+5 5.457000-4 8.919867+5 5.465000-4 8.954593+5 5.473000-4 8.994121+5 5.485000-4 9.058714+5 5.490000-4 9.089003+5 5.503000-4 9.174526+5 5.507000-4 9.203551+5 5.522000-4 9.321847+5 5.537300-4 9.462962+5 5.550000-4 9.592792+5 5.559043-4 9.696021+5 5.565000-4 9.766573+5 5.580000-4 9.959496+5 5.595000-4 1.017409+6 5.608000-4 1.037907+6 5.623413-4 1.064696+6 5.630000-4 1.077084+6 5.640000-4 1.096325+6 5.650000-4 1.116970+6 5.658000-4 1.133835+6 5.680000-4 1.184940+6 5.688529-4 1.205838+6 5.700000-4 1.235447+6 5.708000-4 1.257408+6 5.730000-4 1.320283+6 5.758000-4 1.407511+6 5.780000-4 1.481795+6 5.790000-4 1.516772+6 5.800000-4 1.552981+6 5.807000-4 1.579305+6 5.821032-4 1.632445+6 5.830000-4 1.667554+6 5.850000-4 1.748023+6 5.872000-4 1.839086+6 5.880000-4 1.873567+6 5.888437-4 1.909638+6 5.900000-4 1.960948+6 5.923000-4 2.063018+6 5.930000-4 2.095044+6 5.950000-4 2.186392+6 5.956621-4 2.217267+6 5.973000-4 2.292425+6 5.990000-4 2.372521+6 6.000000-4 2.418637+6 6.025596-4 2.539399+6 6.050000-4 2.652707+6 6.080000-4 2.789334+6 6.084600-4 2.810520+6 6.095369-4 2.857929+6 6.100000-4 2.878651+6 6.115000-4 2.945010+6 6.130000-4 3.009300+6 6.150000-4 3.094175+6 6.162600-4 3.145551+6 6.165950-4 3.158791+6 6.190000-4 3.255877+6 6.200000-4 3.292466+6 6.220000-4 3.367242+6 6.237348-4 3.430554+6 6.250000-4 3.474046+6 6.280000-4 3.574291+6 6.320000-4 3.695395+6 6.350000-4 3.776811+6 6.370000-4 3.828651+6 6.382635-4 3.858785+6 6.390000-4 3.876458+6 6.430000-4 3.965897+6 6.437300-4 3.980923+6 6.456542-4 4.017343+6 6.480000-4 4.062203+6 6.500000-4 4.093407+6 6.531306-4 4.142797+6 6.550000-4 4.169411+6 6.589600-4 4.217462+6 6.606934-4 4.235759+6 6.630000-4 4.260193+6 6.650000-4 4.277821+6 6.700000-4 4.314436+6 6.720000-4 4.326284+6 6.760830-4 4.344012+6 6.780000-4 4.352359+6 6.800000-4 4.358473+6 6.839116-4 4.365046+6 6.850000-4 4.366861+6 6.890000-4 4.373488+6 6.918310-4 4.371777+6 7.000000-4 4.366809+6 7.079458-4 4.347608+6 7.120000-4 4.337900+6 7.161434-4 4.325043+6 7.244360-4 4.291936+6 7.265700-4 4.283487+6 7.328245-4 4.255311+6 7.350000-4 4.245530+6 7.413102-4 4.212704+6 7.498942-4 4.164313+6 7.585776-4 4.116489+6 7.673615-4 4.060490+6 7.762471-4 4.005158+6 7.852356-4 3.950490+6 7.943282-4 3.889368+6 8.000000-4 3.852074+6 8.128305-4 3.769958+6 8.200000-4 3.723239+6 8.222426-4 3.708047+6 8.413951-4 3.582110+6 8.511380-4 3.520791+6 8.609938-4 3.458156+6 8.709636-4 3.393968+6 8.810489-4 3.330909+6 8.912509-4 3.268944+6 8.988200-4 3.222866+6 8.988200-4 3.288978+6 8.989000-4 3.290027+6 8.994000-4 3.291438+6 9.000000-4 3.293973+6 9.007000-4 3.298068+6 9.015711-4 3.304751+6 9.027000-4 3.315620+6 9.035000-4 3.324615+6 9.042000-4 3.333135+6 9.050000-4 3.343355+6 9.056000-4 3.351139+6 9.063000-4 3.360164+6 9.069000-4 3.367670+6 9.075000-4 3.374847+6 9.083000-4 3.383730+6 9.090000-4 3.390736+6 9.098000-4 3.397745+6 9.104000-4 3.402295+6 9.111000-4 3.406800+6 9.120108-4 3.411427+6 9.130000-4 3.414963+6 9.140000-4 3.417139+6 9.150600-4 3.418127+6 9.165000-4 3.417704+6 9.185000-4 3.414628+6 9.200000-4 3.410750+6 9.210000-4 3.408214+6 9.225714-4 3.403076+6 9.240000-4 3.398483+6 9.280000-4 3.383902+6 9.332543-4 3.363011+6 9.335000-4 3.362013+6 9.390000-4 3.337106+6 9.440609-4 3.312073+6 9.500000-4 3.280549+6 9.549926-4 3.252730+6 9.561200-4 3.246301+6 9.561200-4 3.412417+6 9.660509-4 3.361534+6 9.772372-4 3.306255+6 9.780000-4 3.302558+6 9.800000-4 3.292973+6 9.885531-4 3.250662+6 1.000000-3 3.194235+6 1.011579-3 3.137797+6 1.030000-3 3.049352+6 1.035142-3 3.024691+6 1.047129-3 2.968596+6 1.054200-3 2.936373+6 1.059254-3 2.913227+6 1.071519-3 2.858433+6 1.083927-3 2.802962+6 1.096478-3 2.748462+6 1.110000-3 2.691801+6 1.122018-3 2.642412+6 1.135011-3 2.588717+6 1.148154-3 2.535773+6 1.150000-3 2.528434+6 1.161449-3 2.482674+6 1.188502-3 2.379823+6 1.190000-3 2.374330+6 1.202264-3 2.330105+6 1.210000-3 2.302629+6 1.216186-3 2.280618+6 1.230269-3 2.231473+6 1.236600-3 2.209429+6 1.236600-3 2.348311+6 1.244515-3 2.320334+6 1.245000-3 2.318637+6 1.273503-3 2.222407+6 1.285000-3 2.185476+6 1.288250-3 2.175162+6 1.303167-3 2.127698+6 1.318257-3 2.081366+6 1.333521-3 2.035523+6 1.348963-3 1.990823+6 1.350000-3 1.987877+6 1.380384-3 1.904219+6 1.396368-3 1.862053+6 1.412538-3 1.820930+6 1.428894-3 1.780227+6 1.445440-3 1.740522+6 1.462177-3 1.700971+6 1.470000-3 1.682972+6 1.479108-3 1.662233+6 1.513561-3 1.587395+6 1.531087-3 1.550942+6 1.548817-3 1.515046+6 1.554000-3 1.504639+6 1.554000-3 1.522477+6 1.570000-3 1.491050+6 1.584893-3 1.462498+6 1.603245-3 1.428506+6 1.621810-3 1.395379+6 1.640590-3 1.362938+6 1.659587-3 1.331075+6 1.678804-3 1.300035+6 1.695000-3 1.274569+6 1.698244-3 1.269559+6 1.717908-3 1.239508+6 1.728800-3 1.223351+6 1.728800-3 1.244651+6 1.730000-3 1.242876+6 1.737801-3 1.231420+6 1.745000-3 1.220993+6 1.757924-3 1.202527+6 1.778279-3 1.174339+6 1.798871-3 1.146647+6 1.800000-3 1.145159+6 1.850000-3 1.081660+6 1.862087-3 1.066989+6 1.883649-3 1.041433+6 1.905461-3 1.016471+6 1.927525-3 9.920965+5 1.949845-3 9.683692+5 1.950000-3 9.682075+5 1.972423-3 9.450915+5 2.000000-3 9.176246+5 2.018366-3 9.000282+5 2.065380-3 8.567432+5 2.089296-3 8.359168+5 2.110000-3 8.185047+5 2.113489-3 8.155993+5 2.137962-3 7.956433+5 2.162719-3 7.762206+5 2.187762-3 7.571946+5 2.220000-3 7.335693+5 2.238721-3 7.202481+5 2.264644-3 7.024204+5 2.290868-3 6.849591+5 2.300000-3 6.790153+5 2.344229-3 6.511420+5 2.371374-3 6.349021+5 2.398833-3 6.190025+5 2.454709-3 5.885068+5 2.483133-3 5.737711+5 2.511886-3 5.594385+5 2.540973-3 5.452993+5 2.570396-3 5.315504+5 2.600160-3 5.181697+5 2.650000-3 4.969063+5 2.660725-3 4.925059+5 2.691535-3 4.801296+5 2.722701-3 4.679158+5 2.754229-3 4.559110+5 2.786121-3 4.442285+5 2.818383-3 4.328726+5 2.884032-3 4.110935+5 2.900000-3 4.060519+5 2.917427-3 4.006489+5 2.951209-3 3.903889+5 2.985383-3 3.804157+5 3.000000-3 3.762019+5 3.019952-3 3.705590+5 3.054921-3 3.609566+5 3.090295-3 3.516126+5 3.126079-3 3.425285+5 3.150000-3 3.366551+5 3.198895-3 3.251085+5 3.235937-3 3.167582+5 3.300000-3 3.028270+5 3.311311-3 3.004533+5 3.349654-3 2.926118+5 3.388442-3 2.849856+5 3.400000-3 2.827714+5 3.427678-3 2.775674+5 3.467369-3 2.703564+5 3.507519-3 2.633245+5 3.548134-3 2.564375+5 3.589219-3 2.496993+5 3.630781-3 2.431331+5 3.672823-3 2.367506+5 3.715352-3 2.305230+5 3.758374-3 2.244648+5 3.801894-3 2.185609+5 3.845918-3 2.128255+5 3.900000-3 2.060307+5 3.935501-3 2.017154+5 3.981072-3 1.963563+5 4.000000-3 1.941919+5 4.027170-3 1.911469+5 4.073803-3 1.860795+5 4.120975-3 1.811395+5 4.134300-3 1.797778+5 4.134300-3 4.195756+5 4.140000-3 4.180615+5 4.168694-3 4.105531+5 4.216965-3 3.983409+5 4.261100-3 3.875984+5 4.265795-3 3.865536+5 4.365158-3 3.653049+5 4.366900-3 3.649475+5 4.366900-3 5.168275+5 4.415704-3 5.030912+5 4.466836-3 4.888424+5 4.490000-3 4.825750+5 4.500000-3 4.797667+5 4.518559-3 4.746054+5 4.570882-3 4.604658+5 4.623810-3 4.467213+5 4.677351-3 4.336112+5 4.841724-3 3.965203+5 4.897788-3 3.848911+5 4.954502-3 3.736039+5 4.968600-3 3.708291+5 4.968600-3 4.337416+5 5.000000-3 4.268031+5 5.011872-3 4.242193+5 5.050000-3 4.160567+5 5.069907-3 4.120185+5 5.128614-3 4.004113+5 5.188000-3 3.891268+5 5.248075-3 3.781734+5 5.308844-3 3.674281+5 5.370318-3 3.570000+5 5.432503-3 3.468154+5 5.495409-3 3.368425+5 5.500000-3 3.361309+5 5.559043-3 3.271675+5 5.623413-3 3.177712+5 5.688529-3 3.086347+5 5.821032-3 2.909594+5 5.956621-3 2.743355+5 6.025596-3 2.663974+5 6.095369-3 2.586950+5 6.148800-3 2.530068+5 6.148800-3 2.684020+5 6.165950-3 2.665782+5 6.237348-3 2.591689+5 6.309573-3 2.519152+5 6.340000-3 2.489488+5 6.400000-3 2.432263+5 6.456542-3 2.379680+5 6.500000-3 2.340367+5 6.523300-3 2.319579+5 6.523300-3 2.416539+5 6.531306-3 2.409289+5 6.606934-3 2.342299+5 6.683439-3 2.277293+5 6.700000-3 2.263573+5 6.740000-3 2.230825+5 6.839116-3 2.152933+5 6.900000-3 2.106648+5 6.918310-3 2.092990+5 7.079458-3 1.977873+5 7.161434-3 1.922928+5 7.300000-3 1.834696+5 7.328245-3 1.817430+5 7.413102-3 1.766796+5 7.500000-3 1.716772+5 7.585776-3 1.669366+5 7.650000-3 1.635074+5 7.673615-3 1.622693+5 7.762471-3 1.576962+5 7.852356-3 1.532609+5 7.943282-3 1.489542+5 8.000000-3 1.463610+5 8.128305-3 1.407148+5 8.222426-3 1.367749+5 8.317638-3 1.329514+5 8.413951-3 1.292011+5 8.500000-3 1.259771+5 8.511380-3 1.255559+5 8.709636-3 1.185022+5 8.810489-3 1.151348+5 8.912509-3 1.118569+5 9.015711-3 1.086776+5 9.225714-3 1.025594+5 9.332543-3 9.963924+4 9.440609-3 9.680193+4 9.500000-3 9.529285+4 9.549926-3 9.405050+4 9.660509-3 9.137525+4 9.885531-3 8.625851+4 1.000000-2 8.381528+4 1.011579-2 8.144134+4 1.023293-2 7.913841+4 1.035142-2 7.688772+4 1.040000-2 7.599087+4 1.059254-2 7.255362+4 1.060000-2 7.242506+4 1.071519-2 7.047590+4 1.080000-2 6.908861+4 1.083927-2 6.845645+4 1.096478-2 6.649156+4 1.109175-2 6.457651+4 1.122018-2 6.270892+4 1.135011-2 6.089817+4 1.148154-2 5.914036+4 1.161449-2 5.743633+4 1.174898-2 5.578261+4 1.188502-2 5.417760+4 1.202264-2 5.261610+4 1.230269-2 4.963317+4 1.244515-2 4.820699+4 1.258925-2 4.682444+4 1.273503-2 4.548131+4 1.303167-2 4.290371+4 1.318257-2 4.166517+4 1.319400-2 4.157296+4 1.333521-2 4.045661+4 1.348963-2 3.928505+4 1.350000-2 3.920811+4 1.364583-2 3.814890+4 1.380384-2 3.704275+4 1.396368-2 3.596741+4 1.400000-2 3.572934+4 1.412538-2 3.492162+4 1.416900-2 3.464680+4 1.428894-2 3.390631+4 1.445440-2 3.291641+4 1.496236-2 3.012541+4 1.500000-2 2.993240+4 1.513561-2 2.925043+4 1.520000-2 2.893435+4 1.531087-2 2.840155+4 1.548817-2 2.757750+4 1.566751-2 2.677570+4 1.584893-2 2.599832+4 1.603245-2 2.524389+4 1.621810-2 2.450941+4 1.640590-2 2.379681+4 1.650000-2 2.345091+4 1.678804-2 2.242939+4 1.698244-2 2.177383+4 1.717908-2 2.113700+4 1.737801-2 2.051972+4 1.757924-2 1.991910+4 1.778279-2 1.933561+4 1.798871-2 1.876844+4 1.800000-2 1.873802+4 1.840772-2 1.768441+4 1.850000-2 1.745781+4 1.862087-2 1.716703+4 1.883649-2 1.666534+4 1.905461-2 1.617682+4 1.927525-2 1.570295+4 1.946200-2 1.531633+4 1.946200-2 3.571861+4 1.949845-2 3.554963+4 1.972423-2 3.452779+4 1.985000-2 3.397593+4 2.000000-2 3.330028+4 2.018366-2 3.249830+4 2.041738-2 3.151412+4 2.065380-2 3.055993+4 2.089296-2 2.963434+4 2.113489-2 2.873531+4 2.137962-2 2.786377+4 2.162719-2 2.701894+4 2.187762-2 2.620015+4 2.213095-2 2.540584+4 2.238721-2 2.463495+4 2.264644-2 2.388789+4 2.290868-2 2.315152+4 2.300000-2 2.290250+4 2.317395-2 2.243787+4 2.371374-2 2.107456+4 2.400000-2 2.039784+4 2.426610-2 1.979499+4 2.450300-2 1.927760+4 2.450300-2 2.751968+4 2.454709-2 2.739739+4 2.480000-2 2.671086+4 2.483133-2 2.662437+4 2.511886-2 2.584860+4 2.529400-2 2.538371+4 2.529400-2 2.928430+4 2.540973-2 2.893954+4 2.550000-2 2.867444+4 2.553000-2 2.859060+4 2.600160-2 2.731598+4 2.630268-2 2.654106+4 2.640000-2 2.629723+4 2.691535-2 2.506694+4 2.722701-2 2.435182+4 2.754229-2 2.365759+4 2.770000-2 2.332044+4 2.786121-2 2.298674+4 2.800000-2 2.270492+4 2.818383-2 2.233872+4 2.820000-2 2.230660+4 2.851018-2 2.169767+4 2.900000-2 2.078320+4 2.917427-2 2.046796+4 2.951209-2 1.987530+4 3.000000-2 1.906157+4 3.019952-2 1.874232+4 3.054921-2 1.820069+4 3.126079-2 1.716527+4 3.150000-2 1.683600+4 3.162278-2 1.667043+4 3.198895-2 1.618841+4 3.273407-2 1.526593+4 3.300000-2 1.495443+4 3.388442-2 1.398034+4 3.467369-2 1.318547+4 3.507519-2 1.280239+4 3.548134-2 1.243075+4 3.589219-2 1.207013+4 3.630781-2 1.171804+4 3.672823-2 1.137597+4 3.715352-2 1.104188+4 3.758374-2 1.071778+4 3.801894-2 1.040312+4 3.845918-2 1.009792+4 3.890451-2 9.800534+3 3.935501-2 9.511896+3 3.981072-2 9.232000+3 4.027170-2 8.959152+3 4.120975-2 8.437735+3 4.168694-2 8.188784+3 4.216965-2 7.947022+3 4.265795-2 7.712561+3 4.365158-2 7.264610+3 4.415704-2 7.050510+3 4.472100-2 6.821928+3 4.518559-2 6.641395+3 4.570882-2 6.446049+3 4.623810-2 6.256600+3 4.786301-2 5.714915+3 4.800000-2 5.672294+3 4.841724-2 5.545052+3 4.897788-2 5.380325+3 4.900000-2 5.373968+3 4.954502-2 5.219589+3 5.011872-2 5.063720+3 5.069907-2 4.912605+3 5.128614-2 4.765962+3 5.188000-2 4.623792+3 5.248075-2 4.485941+3 5.308844-2 4.352299+3 5.370318-2 4.222704+3 5.500000-2 3.966488+3 5.559043-2 3.856669+3 5.623413-2 3.741636+3 5.688529-2 3.630077+3 5.754399-2 3.521893+3 5.821032-2 3.416050+3 5.956621-2 3.214027+3 6.025596-2 3.117551+3 6.165950-2 2.933378+3 6.237348-2 2.845510+3 6.309573-2 2.759798+3 6.456542-2 2.596158+3 6.531306-2 2.518017+3 6.606934-2 2.442206+3 6.683439-2 2.368702+3 6.760830-2 2.297456+3 6.839116-2 2.228394+3 6.998420-2 2.096529+3 7.079458-2 2.033614+3 7.161434-2 1.972571+3 7.244360-2 1.913229+3 7.498942-2 1.745306+3 7.500000-2 1.744652+3 7.585776-2 1.692423+3 7.852356-2 1.543222+3 7.943282-2 1.496492+3 8.035261-2 1.451191+3 8.128305-2 1.407288+3 8.317638-2 1.323502+3 8.609938-2 1.207221+3 8.709636-2 1.170791+3 8.810489-2 1.135478+3 9.120108-2 1.035459+3 9.225714-2 1.004067+3 9.332543-2 9.736429+2 9.549926-2 9.154590+2 9.660509-2 8.877074+2 9.772372-2 8.607912+2 9.885531-2 8.347043+2 1.011580-1 7.849180+2 1.023293-1 7.610725+2 1.035142-1 7.379627+2 1.059254-1 6.938480+2 1.071519-1 6.727928+2 1.096478-1 6.326038+2 1.109175-1 6.134329+2 1.161449-1 5.424073+2 1.188502-1 5.100851+2 1.216186-1 4.795866+2 1.244515-1 4.509375+2 1.273503-1 4.240184+2 1.288250-1 4.111763+2 1.303167-1 3.987296+2 1.318257-1 3.866607+2 1.322100-1 3.836683+2 1.322100-1 1.541953+3 1.333521-1 1.508306+3 1.344000-1 1.478327+3 1.353000-1 1.455885+3 1.364583-1 1.422314+3 1.365000-1 1.421125+3 1.380384-1 1.384853+3 1.385000-1 1.374231+3 1.396368-1 1.345301+3 1.400000-1 1.336237+3 1.425000-1 1.276072+3 1.428894-1 1.267539+3 1.445440-1 1.232128+3 1.500000-1 1.124785+3 1.513561-1 1.099319+3 1.548817-1 1.036770+3 1.584893-1 9.777972+2 1.603245-1 9.495860+2 1.621810-1 9.221914+2 1.640590-1 8.955903+2 1.678804-1 8.446781+2 1.698244-1 8.205201+2 1.757924-1 7.521304+2 1.778279-1 7.306312+2 1.819701-1 6.894637+2 1.862087-1 6.506260+2 1.883649-1 6.320509+2 1.905461-1 6.140078+2 1.927525-1 5.964024+2 1.972423-1 5.626993+2 2.000000-1 5.433074+2 2.018366-1 5.309083+2 2.089296-1 4.865690+2 2.113489-1 4.726308+2 2.137962-1 4.591009+2 2.162719-1 4.459593+2 2.213095-1 4.207979+2 2.264644-1 3.970637+2 2.290868-1 3.857739+2 2.317395-1 3.748065+2 2.371374-1 3.538173+2 2.398833-1 3.437703+2 2.426610-1 3.340094+2 2.454709-1 3.245270+2 2.511886-1 3.063648+2 2.570396-1 2.892326+2 2.630268-1 2.730611+2 2.691535-1 2.577969+2 2.722701-1 2.504971+2 2.754229-1 2.434058+2 2.786121-1 2.365245+2 2.818383-1 2.299163+2 2.884032-1 2.172526+2 2.917427-1 2.111858+2 2.951209-1 2.052921+2 2.985383-1 1.995633+2 3.019952-1 1.939949+2 3.054921-1 1.885822+2 3.090295-1 1.833209+2 3.126079-1 1.782066+2 3.162278-1 1.732353+2 3.198895-1 1.684078+2 3.235937-1 1.637780+2 3.273407-1 1.592769+2 3.349654-1 1.506476+2 3.388442-1 1.465185+2 3.427678-1 1.425031+2 3.467369-1 1.385979+2 3.507519-1 1.348000+2 3.548134-1 1.311064+2 3.589219-1 1.275144+2 3.672823-1 1.206234+2 3.715352-1 1.173225+2 3.758374-1 1.141121+2 3.801894-1 1.110383+2 3.845918-1 1.080499+2 3.890451-1 1.051422+2 3.935501-1 1.023131+2 3.981072-1 9.956141+1 4.000000-1 9.844942+1 4.027170-1 9.688391+1 4.073803-1 9.428296+1 4.120975-1 9.175206+1 4.168694-1 8.928920+1 4.216965-1 8.689262+1 4.265795-1 8.456293+1 4.315191-1 8.229746+1 4.365158-1 8.009293+1 4.415705-1 7.799006+1 4.466836-1 7.594257+1 4.518559-1 7.394895+1 4.570882-1 7.200773+1 4.623810-1 7.011760+1 4.677351-1 6.827739+1 4.731513-1 6.648638+1 4.786301-1 6.474599+1 4.897788-1 6.140727+1 4.954502-1 5.980322+1 5.000000-1 5.858200+1 5.011872-1 5.826927+1 5.128614-1 5.531963+1 5.188000-1 5.390141+1 5.248075-1 5.251959+1 5.308844-1 5.117329+1 5.370318-1 4.986250+1 5.432503-1 4.858617+1 5.495409-1 4.734665+1 5.623413-1 4.496198+1 5.688529-1 4.381517+1 5.754399-1 4.271925+1 5.821032-1 4.165078+1 5.888437-1 4.060908+1 5.956621-1 3.959410+1 6.000000-1 3.896749+1 6.025596-1 3.860451+1 6.095369-1 3.763989+1 6.165950-1 3.670063+1 6.237348-1 3.578500+1 6.309573-1 3.489269+1 6.382635-1 3.402455+1 6.456542-1 3.317837+1 6.531306-1 3.235329+1 6.606935-1 3.156537+1 6.683439-1 3.079668+1 6.760830-1 3.004684+1 6.839117-1 2.931531+1 6.918310-1 2.860253+1 6.998420-1 2.790711+1 7.079458-1 2.722861+1 7.161434-1 2.656664+1 7.244360-1 2.592111+1 7.328245-1 2.529201+1 7.413102-1 2.467960+1 7.498942-1 2.408210+1 7.585776-1 2.351134+1 7.673615-1 2.295415+1 7.852356-1 2.188025+1 8.000000-1 2.104838+1 8.035261-1 2.085665+1 8.222427-1 1.988153+1 8.317638-1 1.941137+1 8.413951-1 1.895235+1 8.511380-1 1.850426+1 8.609938-1 1.806813+1 8.709636-1 1.765124+1 8.810489-1 1.724472+1 8.912509-1 1.684758+1 9.015711-1 1.645959+1 9.120108-1 1.608074+1 9.225714-1 1.571065+1 9.332543-1 1.534935+1 9.440609-1 1.499646+1 9.549926-1 1.465229+1 9.660509-1 1.431610+1 9.772372-1 1.398873+1 9.885531-1 1.367566+1 1.000000+0 1.336970+1 1.011579+0 1.307061+1 1.023293+0 1.277819+1 1.035142+0 1.249274+1 1.047129+0 1.221390+1 1.059254+0 1.194133+1 1.071519+0 1.167491+1 1.083927+0 1.141442+1 1.096478+0 1.115976+1 1.109175+0 1.091087+1 1.122018+0 1.066775+1 1.135011+0 1.043002+1 1.148154+0 1.019762+1 1.161449+0 9.970735+0 1.174898+0 9.748928+0 1.188502+0 9.532074+0 1.202264+0 9.320700+0 1.216186+0 9.118615+0 1.230269+0 8.920920+0 1.244515+0 8.727612+0 1.250000+0 8.654885+0 1.258925+0 8.538529+0 1.273503+0 8.353545+0 1.303167+0 7.996027+0 1.318257+0 7.823087+0 1.333521+0 7.654003+0 1.348963+0 7.489158+0 1.364583+0 7.331709+0 1.380384+0 7.177569+0 1.412538+0 6.879106+0 1.428894+0 6.734569+0 1.479108+0 6.319393+0 1.500000+0 6.158254+0 1.513561+0 6.057026+0 1.531087+0 5.930501+0 1.548817+0 5.810059+0 1.603245+0 5.463238+0 1.659587+0 5.137237+0 1.678804+0 5.033083+0 1.698244+0 4.931059+0 1.717908+0 4.831110+0 1.737801+0 4.733565+0 1.757924+0 4.640459+0 1.778279+0 4.549202+0 1.840772+0 4.286184+0 1.862087+0 4.201972+0 1.883649+0 4.119415+0 1.905461+0 4.038479+0 1.927525+0 3.959254+0 1.949845+0 3.881584+0 1.972423+0 3.805736+0 1.995262+0 3.731376+0 2.000000+0 3.716632+0 2.018366+0 3.660360+0 2.065380+0 3.522445+0 2.089296+0 3.455449+0 2.113489+0 3.389755+0 2.137962+0 3.325311+0 2.162719+0 3.262090+0 2.187762+0 3.200155+0 2.213095+0 3.139408+0 2.238721+0 3.079818+0 2.264644+0 3.021594+0 2.290868+0 2.964472+0 2.317395+0 2.909912+0 2.371374+0 2.803846+0 2.398833+0 2.752272+0 2.426610+0 2.701669+0 2.454709+0 2.651995+0 2.483133+0 2.603236+0 2.511886+0 2.555437+0 2.540973+0 2.508524+0 2.570396+0 2.462475+0 2.600160+0 2.417449+0 2.630268+0 2.373251+0 2.660725+0 2.330971+0 2.722701+0 2.248702+0 2.754229+0 2.208663+0 2.786121+0 2.169355+0 2.818383+0 2.130745+0 2.851018+0 2.092824+0 2.884032+0 2.055625+0 2.917427+0 2.019096+0 2.951209+0 1.983218+0 3.000000+0 1.933415+0 3.019952+0 1.913640+0 3.054921+0 1.880643+0 3.126079+0 1.816382+0 3.162278+0 1.785079+0 3.198895+0 1.754316+0 3.235937+0 1.724096+0 3.273407+0 1.694398+0 3.311311+0 1.665210+0 3.349654+0 1.636564+0 3.388442+0 1.608415+0 3.427678+0 1.580752+0 3.467369+0 1.553674+0 3.507519+0 1.527061+0 3.548134+0 1.501591+0 3.630781+0 1.451946+0 3.672823+0 1.427743+0 3.715352+0 1.403943+0 3.758374+0 1.380549+0 3.801894+0 1.357546+0 3.845918+0 1.334926+0 3.890451+0 1.312711+0 3.935501+0 1.290870+0 4.000000+0 1.260651+0 4.027170+0 1.248323+0 4.073803+0 1.227635+0 4.120975+0 1.207291+0 4.168694+0 1.187798+0 4.265795+0 1.149772+0 4.315191+0 1.131218+0 4.365158+0 1.112964+0 4.415704+0 1.095012+0 4.466836+0 1.077349+0 4.518559+0 1.059972+0 4.570882+0 1.042897+0 4.623810+0 1.026101+0 4.677351+0 1.009576+0 4.731513+0 9.933814-1 4.786301+0 9.774477-1 4.841724+0 9.617695-1 4.897788+0 9.467419-1 5.011872+0 9.174036-1 5.069907+0 9.030771-1 5.128614+0 8.889745-1 5.188000+0 8.750984-1 5.248075+0 8.614385-1 5.308844+0 8.479923-1 5.370318+0 8.347732-1 5.432503+0 8.217631-1 5.495409+0 8.089563-1 5.559043+0 7.963988-1 5.623413+0 7.840371-1 5.688529+0 7.718673-1 5.754399+0 7.601873-1 5.956621+0 7.262150-1 6.025596+0 7.152316-1 6.095369+0 7.044145-1 6.165950+0 6.937656-1 6.237348+0 6.832777-1 6.309573+0 6.729483-1 6.382635+0 6.627881-1 6.456542+0 6.527834-1 6.531306+0 6.429301-1 6.606934+0 6.332627-1 6.683439+0 6.237409-1 6.760830+0 6.143625-1 6.839116+0 6.053505-1 7.161434+0 5.706228-1 7.244360+0 5.622568-1 7.328245+0 5.540135-1 7.413102+0 5.458945-1 7.498942+0 5.378944-1 7.585776+0 5.300116-1 7.673615+0 5.222544-1 7.762471+0 5.146123-1 7.852356+0 5.070826-1 8.000000+0 4.951791-1 8.035261+0 4.924100-1 8.128305+0 4.852341-1 8.222427+0 4.783412-1 8.609938+0 4.517490-1 8.709636+0 4.453353-1 8.810489+0 4.390126-1 8.912509+0 4.327822-1 9.015711+0 4.266401-1 9.225714+0 4.146162-1 9.332543+0 4.087389-1 9.440609+0 4.029459-1 9.549926+0 3.972352-1 9.660509+0 3.916056-1 9.885531+0 3.806263-1 1.000000+1 3.752530-1 1.011579+1 3.700865-1 1.047129+1 3.550169-1 1.059254+1 3.501316-1 1.071519+1 3.453136-1 1.083927+1 3.405633-1 1.122018+1 3.267017-1 1.135011+1 3.222126-1 1.161449+1 3.134205-1 1.174898+1 3.091150-1 1.202264+1 3.006811-1 1.230269+1 2.925067-1 1.244515+1 2.885036-1 1.258925+1 2.846472-1 1.288250+1 2.770914-1 1.300000+1 2.741676-1 1.303167+1 2.733893-1 1.318257+1 2.697365-1 1.333521+1 2.661341-1 1.400000+1 2.514348-1 1.412538+1 2.488334-1 1.445440+1 2.422403-1 1.462177+1 2.390097-1 1.500000+1 2.319963-1 1.531087+1 2.265300-1 1.548817+1 2.235189-1 1.566751+1 2.206067-1 1.603245+1 2.148979-1 1.621810+1 2.120991-1 1.640590+1 2.093367-1 1.678804+1 2.039196-1 1.698244+1 2.012646-1 1.717908+1 1.986443-1 1.840772+1 1.836233-1 1.862087+1 1.812353-1 1.905461+1 1.765529-1 1.927525+1 1.742574-1 1.949845+1 1.719917-1 1.972423+1 1.697628-1 2.000000+1 1.671135-1 2.018366+1 1.654274-1 2.041738+1 1.633289-1 2.065380+1 1.612571-1 2.089296+1 1.592115-1 2.113489+1 1.571924-1 2.137962+1 1.551989-1 2.454709+1 1.331601-1 2.483133+1 1.314730-1 2.511886+1 1.298076-1 2.540973+1 1.281673-1 3.162278+1 1.009996-1 3.198895+1 9.974119-2 3.235937+1 9.852220-2 4.518559+1 6.898547-2 4.570882+1 6.814287-2 4.623810+1 6.732608-2 6.839116+1 4.469147-2 6.918310+1 4.415608-2 6.998420+1 4.363536-2 1.148154+2 2.620676-2 1.161449+2 2.589823-2 1.174898+2 2.559664-2 2.290868+2 1.297881-2 2.317395+2 1.282786-2 2.344229+2 1.267981-2 4.570882+2 6.468197-3 4.623810+2 6.393600-3 4.677351+2 6.320159-3 1.819701+3 1.617142-3 1.840772+3 1.598575-3 1.862087+3 1.580269-3 1.000000+5 2.939021-5 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 3.850000-6 3.850000-6 4.600000-6 3.850000-6 4.600000-6 4.069024-6 5.956621-6 4.106731-6 6.280000-6 4.112718-6 6.280000-6 5.251464-6 7.200000-6 5.035194-6 8.035261-6 4.876381-6 8.810489-6 4.761180-6 9.500000-6 4.679222-6 1.011579-5 4.620681-6 1.109175-5 4.548264-6 1.216186-5 4.490964-6 1.284000-5 4.463413-6 1.284000-5 5.489784-6 1.364583-5 5.461345-6 1.453000-5 5.462413-6 1.453000-5 6.173234-6 1.548817-5 6.227450-6 1.621810-5 6.297245-6 1.717908-5 6.430939-6 1.819701-5 6.628161-6 1.920000-5 6.879710-6 1.980000-5 7.056896-6 2.070000-5 7.356484-6 2.190000-5 7.813424-6 2.350000-5 8.497736-6 2.610000-5 9.656637-6 2.751000-5 1.024343-5 2.751000-5 2.323500-5 3.162278-5 2.115296-5 3.507519-5 1.941907-5 3.672823-5 1.866944-5 3.900000-5 1.775877-5 4.101000-5 1.707695-5 4.101000-5 2.454224-5 4.415704-5 2.285846-5 4.677351-5 2.159499-5 4.900000-5 2.064200-5 5.128614-5 1.977393-5 5.400000-5 1.887720-5 5.688529-5 1.807268-5 5.956621-5 1.745394-5 6.237348-5 1.691641-5 6.279000-5 1.684688-5 6.279000-5 1.775218-5 6.531306-5 1.726730-5 6.839116-5 1.678091-5 7.161434-5 1.638159-5 7.500000-5 1.606419-5 7.943282-5 1.576390-5 8.511380-5 1.550986-5 9.225714-5 1.532600-5 1.000000-4 1.523869-5 1.080000-4 1.524067-5 1.174898-4 1.534752-5 1.273503-4 1.557507-5 1.303500-4 1.566765-5 1.303500-4 3.158423-5 1.313000-4 3.348969-5 1.323000-4 3.576629-5 1.333521-4 3.842591-5 1.365000-4 4.704191-5 1.373000-4 4.912785-5 1.380384-4 5.093741-5 1.387000-4 5.244780-5 1.395000-4 5.412319-5 1.403000-4 5.563965-5 1.412538-4 5.724133-5 1.419000-4 5.821721-5 1.423900-4 5.885411-5 1.423900-4 6.640589-5 1.447000-4 7.044215-5 1.487000-4 7.767122-5 1.502000-4 8.015841-5 1.525000-4 8.340105-5 1.540000-4 8.513088-5 1.565000-4 8.740603-5 1.585000-4 8.883050-5 1.635000-4 9.155045-5 1.740000-4 9.598058-5 1.840772-4 9.963921-5 1.950000-4 1.030270-4 2.041738-4 1.053557-4 2.137962-4 1.070438-4 2.213095-4 1.076242-4 2.285000-4 1.074390-4 2.358000-4 1.064429-4 2.440000-4 1.044271-4 2.486200-4 1.029198-4 2.486200-4 1.181291-4 2.600160-4 1.155678-4 2.754229-4 1.111317-4 2.985383-4 1.040233-4 3.126079-4 1.002962-4 3.240000-4 9.765087-5 3.292600-4 9.657316-5 3.292600-4 1.117778-4 3.400000-4 1.088602-4 3.600000-4 1.040098-4 3.690000-4 1.021075-4 3.850000-4 9.936252-5 4.008700-4 9.715033-5 4.008700-4 1.038082-4 4.216965-4 1.015561-4 4.415704-4 9.996487-5 4.677351-4 9.845148-5 4.954502-4 9.748326-5 5.122700-4 9.709304-5 5.122700-4 1.057738-4 5.155000-4 1.053079-4 5.260000-4 1.051937-4 5.280200-4 1.052360-4 5.280200-4 1.105585-4 5.360000-4 1.114758-4 5.415000-4 1.128410-4 5.457000-4 1.145396-4 5.490000-4 1.164181-4 5.522000-4 1.187670-4 5.565000-4 1.227909-4 5.608000-4 1.276799-4 5.688529-4 1.382511-4 5.758000-4 1.474610-4 5.821032-4 1.549878-4 5.880000-4 1.610550-4 5.950000-4 1.669147-4 6.000000-4 1.702838-4 6.080000-4 1.745153-4 6.165950-4 1.777804-4 6.280000-4 1.807334-4 6.437300-4 1.831456-4 6.650000-4 1.848700-4 7.000000-4 1.860148-4 7.852356-4 1.865800-4 8.988200-4 1.863821-4 8.988200-4 1.893577-4 9.027000-4 1.915584-4 9.098000-4 1.968740-4 9.140000-4 1.987329-4 9.225714-4 2.003443-4 9.390000-4 2.018269-4 9.561200-4 2.024190-4 9.561200-4 2.094465-4 1.054200-3 2.138173-4 1.161449-3 2.175397-4 1.236600-3 2.196984-4 1.236600-3 2.323092-4 1.513561-3 2.412765-4 1.554000-3 2.424632-4 1.554000-3 2.455050-4 1.728800-3 2.509356-4 1.728800-3 2.558558-4 2.113489-3 2.672326-4 2.540973-3 2.775644-4 3.054921-3 2.878666-4 3.715352-3 2.984800-4 4.134300-3 3.041336-4 4.134300-3 4.353651-4 4.366900-3 4.354967-4 4.366900-3 4.638797-4 4.968600-3 4.640606-4 4.968600-3 4.980260-4 6.148800-3 5.035743-4 6.148800-3 5.213610-4 6.523300-3 5.245499-4 6.523300-3 5.399946-4 8.709636-3 5.602008-4 1.122018-2 5.785114-4 1.428894-2 5.958810-4 1.800000-2 6.120099-4 1.946200-2 6.172719-4 1.946200-2 7.301446-4 2.450300-2 7.350952-4 2.450300-2 7.761398-4 2.529400-2 7.770983-4 2.529400-2 8.302043-4 3.507519-2 8.502966-4 4.800000-2 8.689939-4 6.683439-2 8.878377-4 9.225714-2 9.050558-4 1.288250-1 9.212337-4 1.322100-1 9.224137-4 1.322100-1 8.488854-4 3.162278-1 8.541514-4 9.015711-1 8.569061-4 1.000000+5 8.569836-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 3.850000-6 0.0 2.486200-4 0.0 2.486200-4 1.690868-9 2.540973-4 1.711805-9 2.570396-4 1.719560-9 2.644700-4 1.726184-9 2.691535-4 1.723377-9 2.754229-4 1.711099-9 2.830000-4 1.680245-9 2.951209-4 1.621829-9 3.292600-4 1.441721-9 3.292600-4 4.441793-9 3.340000-4 4.308188-9 3.430000-4 4.099034-9 3.600000-4 3.658141-9 3.690000-4 3.444486-9 3.801894-4 3.222108-9 3.850000-4 3.134044-9 3.935501-4 2.987064-9 4.008700-4 2.872180-9 4.008700-4 3.330562-9 4.120975-4 3.178961-9 4.265795-4 3.011786-9 4.365158-4 2.908245-9 4.518559-4 2.770802-9 4.677351-4 2.647923-9 4.841724-4 2.542499-9 5.011872-4 2.451807-9 5.122700-4 2.401338-9 5.122700-4 1.228462-8 5.126000-4 1.219221-8 5.135000-4 1.202532-8 5.145000-4 1.188876-8 5.155000-4 1.180041-8 5.168000-4 1.173203-8 5.190000-4 1.169890-8 5.220000-4 1.172147-8 5.260000-4 1.180249-8 5.280200-4 1.187441-8 5.280200-4 1.382190-8 5.315000-4 1.409047-8 5.330000-4 1.425864-8 5.345000-4 1.447170-8 5.360000-4 1.473601-8 5.374000-4 1.503742-8 5.385800-4 1.533687-8 5.400000-4 1.575488-8 5.415000-4 1.627342-8 5.435000-4 1.710343-8 5.450000-4 1.783107-8 5.465000-4 1.866614-8 5.485000-4 1.995087-8 5.503000-4 2.128170-8 5.522000-4 2.286757-8 5.537300-4 2.429369-8 5.550000-4 2.554143-8 5.565000-4 2.713375-8 5.580000-4 2.881078-8 5.595000-4 3.056789-8 5.623413-4 3.410091-8 5.708000-4 4.503437-8 5.730000-4 4.774425-8 5.758000-4 5.101312-8 5.790000-4 5.443463-8 5.807000-4 5.614754-8 5.830000-4 5.828559-8 5.850000-4 6.000329-8 5.888437-4 6.293541-8 5.930000-4 6.561943-8 5.956621-4 6.708058-8 6.000000-4 6.905561-8 6.025596-4 7.005518-8 6.080000-4 7.170171-8 6.130000-4 7.279620-8 6.200000-4 7.386422-8 6.280000-4 7.465498-8 6.430000-4 7.549158-8 6.630000-4 7.597167-8 7.244360-4 7.615806-8 8.413951-4 7.565859-8 8.988200-4 7.530965-8 8.988200-4 7.478685-8 9.050000-4 7.404024-8 9.120108-4 7.317152-8 9.225714-4 7.268096-8 9.500000-4 7.216843-8 9.561200-4 7.211030-8 9.561200-4 9.152728-8 9.800000-4 9.339703-8 1.035142-3 9.661685-8 1.122018-3 1.006031-7 1.236600-3 1.038359-7 1.236600-3 1.398062-7 1.445440-3 1.498303-7 1.554000-3 1.547111-7 1.554000-3 1.616456-7 1.728800-3 1.705170-7 1.728800-3 1.861363-7 2.018366-3 2.023194-7 2.300000-3 2.167971-7 2.786121-3 2.389580-7 3.150000-3 2.537315-7 3.589219-3 2.698224-7 4.027170-3 2.844162-7 4.134300-3 2.877589-7 4.134300-3 3.187190-7 4.366900-3 3.215119-7 4.366900-3 6.931288-5 4.500000-3 6.949983-5 4.677351-3 6.914291-5 4.968600-3 6.890102-5 4.968600-3 7.024066-5 5.370318-3 7.014807-5 6.148800-3 6.959475-5 6.148800-3 7.775662-5 6.523300-3 7.831731-5 6.523300-3 7.990268-5 8.222426-3 8.226383-5 9.660509-3 8.385223-5 1.148154-2 8.560254-5 1.428894-2 8.779430-5 1.778279-2 8.989338-5 1.946200-2 9.072204-5 1.946200-2 4.625082-3 2.018366-2 4.623586-3 2.371374-2 4.574227-3 2.450300-2 4.560811-3 2.450300-2 6.979611-3 2.529400-2 7.003141-3 2.529400-2 7.340951-3 3.054921-2 7.430370-3 3.758374-2 7.508497-3 5.069907-2 7.581493-3 7.244360-2 7.637294-3 1.288250-1 7.677025-3 1.322100-1 7.677979-3 1.322100-1 9.184174-2 1.621810-1 9.268771-2 2.213095-1 9.363015-2 3.467369-1 9.463294-2 6.165950-1 9.572317-2 1.023293+0 9.643383-2 1.000000+5 9.641575-2 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 3.850000-6 0.0 4.600000-6 7.500000-7 4.600000-6 5.309764-7 4.700000-6 6.266875-7 5.069907-6 9.841768-7 5.956621-6 1.849890-6 6.280000-6 2.167282-6 6.280000-6 1.028536-6 6.606934-6 1.435581-6 7.200000-6 2.164806-6 7.852356-6 2.944531-6 8.609938-6 3.821725-6 9.500000-6 4.820778-6 1.071519-5 6.141840-6 1.216186-5 7.670896-6 1.284000-5 8.376587-6 1.284000-5 7.350216-6 1.364583-5 8.184485-6 1.453000-5 9.067587-6 1.453000-5 8.356766-6 1.566751-5 9.425357-6 1.678804-5 1.041593-5 1.800000-5 1.141387-5 1.927525-5 1.237418-5 2.070000-5 1.334352-5 2.213095-5 1.422322-5 2.650000-5 1.667122-5 2.751000-5 1.726657-5 2.751000-5 4.275002-6 2.917427-5 6.760122-6 3.350000-5 1.330956-5 3.590900-5 1.687574-5 3.801894-5 1.988448-5 4.027170-5 2.295890-5 4.101000-5 2.393305-5 4.101000-5 1.646776-5 4.415704-5 2.129858-5 4.677351-5 2.517852-5 5.000000-5 2.975065-5 5.308844-5 3.392683-5 5.688529-5 3.881261-5 6.165950-5 4.461620-5 6.279000-5 4.594312-5 6.279000-5 4.503782-5 6.839116-5 5.161025-5 7.500000-5 5.893581-5 8.511380-5 6.960394-5 1.035142-4 8.828455-5 1.290000-4 1.133750-4 1.303500-4 1.146824-4 1.303500-4 9.876577-5 1.318257-4 9.716359-5 1.333521-4 9.492619-5 1.365000-4 8.945809-5 1.380384-4 8.710099-5 1.395000-4 8.537681-5 1.411000-4 8.409041-5 1.423900-4 8.353589-5 1.423900-4 7.598411-5 1.447000-4 7.425785-5 1.487000-4 7.102878-5 1.502000-4 7.004159-5 1.520000-4 6.925212-5 1.540000-4 6.886912-5 1.560000-4 6.901633-5 1.585000-4 6.966950-5 1.621810-4 7.129703-5 1.678804-4 7.439547-5 1.780000-4 8.049246-5 1.865000-4 8.605835-5 1.972423-4 9.360753-5 2.065380-4 1.006833-4 2.153900-4 1.081556-4 2.231500-4 1.154982-4 2.307000-4 1.234782-4 2.390000-4 1.332472-4 2.483133-4 1.452891-4 2.486200-4 1.457002-4 2.486200-4 1.304892-4 2.600160-4 1.444465-4 2.818383-4 1.727373-4 3.054921-4 2.033876-4 3.292600-4 2.326854-4 3.292600-4 2.174778-4 3.600000-4 2.559865-4 3.850000-4 2.856343-4 4.008700-4 3.037168-4 4.008700-4 2.970585-4 4.415704-4 3.416027-4 5.011872-4 4.038460-4 5.122700-4 4.151746-4 5.122700-4 4.064840-4 5.280200-4 4.227721-4 5.280200-4 4.174477-4 5.400000-4 4.275975-4 5.490000-4 4.325616-4 5.565000-4 4.336819-4 5.658000-4 4.316287-4 5.807000-4 4.272385-4 5.900000-4 4.270552-4 6.000000-4 4.296472-4 6.130000-4 4.363766-4 6.280000-4 4.471920-4 6.550000-4 4.707166-4 7.161434-4 5.298172-4 8.988200-4 7.123626-4 8.988200-4 7.093875-4 9.130000-4 7.145364-4 9.390000-4 7.371008-4 9.561200-4 7.536289-4 9.561200-4 7.465820-4 1.236600-3 1.016798-3 1.236600-3 1.004151-3 1.554000-3 1.311382-3 1.554000-3 1.308333-3 1.728800-3 1.477694-3 1.728800-3 1.472758-3 2.900000-3 2.614753-3 4.134300-3 3.829879-3 4.134300-3 3.698616-3 4.366900-3 3.931082-3 4.366900-3 3.833707-3 4.968600-3 4.435638-3 4.968600-3 4.400333-3 6.148800-3 5.575631-3 6.148800-3 5.549682-3 6.523300-3 5.920433-3 6.523300-3 5.903403-3 1.757924-2 1.687904-2 1.946200-2 1.875401-2 1.946200-2 1.410677-2 2.450300-2 1.920709-2 2.450300-2 1.674725-2 2.529400-2 1.751376-2 2.529400-2 1.712284-2 3.801894-2 2.965152-2 9.332543-2 8.476017-2 1.322100-1 1.236096-1 1.322100-1 3.951938-2 1.353000-1 4.249238-2 1.365000-1 4.370956-2 1.396368-1 4.668808-2 1.445440-1 5.147786-2 1.548817-1 6.149403-2 2.162719-1 1.218470-1 4.315191-1 3.356252-1 1.698244+0 1.600970+0 1.000000+5 9.999990+4 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.322100-1 1.158285+3 1.344000-1 1.111112+3 1.353000-1 1.095148+3 1.365000-1 1.068780+3 1.385000-1 1.035282+3 1.425000-1 9.618800+2 1.500000-1 8.508160+2 1.678804-1 6.416979+2 1.905461-1 4.688107+2 2.264644-1 3.047962+2 2.786121-1 1.825801+2 3.198895-1 1.304311+2 3.758374-1 8.870470+1 4.365158-1 6.245930+1 4.954502-1 4.677068+1 5.688529-1 3.436719+1 6.531306-1 2.544527+1 7.498942-1 1.898696+1 8.609938-1 1.428044+1 9.772372-1 1.107642+1 1.202264+0 7.385483+0 1.348963+0 5.932853+0 1.531087+0 4.696572+0 1.737801+0 3.748617+0 1.995262+0 2.954964+0 2.290868+0 2.347572+0 2.630268+0 1.879382+0 3.019952+0 1.515408+0 3.507519+0 1.209286+0 4.120975+0 9.560467-1 4.841724+0 7.616155-1 5.688529+0 6.112346-1 6.760830+0 4.865110-1 8.128305+0 3.842525-1 1.000000+1 2.971600-1 1.244515+1 2.284664-1 1.548817+1 1.770072-1 2.000000+1 1.323400-1 2.540973+1 1.015084-1 3.198895+1 7.899459-2 4.570882+1 5.396874-2 6.918310+1 3.497138-2 1.161449+2 2.051105-2 2.317395+2 1.015962-2 4.623810+2 5.063696-3 1.840772+3 1.266062-3 1.000000+5 2.327700-5 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.322100-1 8.245300-4 1.000000+5 8.245300-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.322100-1 1.197200-1 1.000000+5 1.197200-1 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.322100-1 1.166547-2 1.000000+5 9.999988+4 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.529400-2 3.900592+3 2.550000-2 3.822789+3 2.640000-2 3.603860+3 2.691535-2 3.496170+3 2.770000-2 3.316180+3 2.900000-2 3.076680+3 3.589219-2 2.091669+3 3.981072-2 1.717255+3 4.900000-2 1.138944+3 5.500000-2 8.976880+2 6.237348-2 6.901514+2 7.500000-2 4.635300+2 8.810489-2 3.242359+2 1.011580-1 2.371577+2 1.188502-1 1.636731+2 1.428894-1 1.064057+2 1.905461-1 5.381705+1 2.754229-1 2.243055+1 3.349654-1 1.418458+1 4.027170-1 9.278187+0 4.731513-1 6.442883+0 5.432503-1 4.744932+0 6.309573-1 3.431543+0 7.328245-1 2.500204+0 8.511380-1 1.835351+0 9.660509-1 1.422264+0 1.188502+0 9.478401-1 1.333521+0 7.609274-1 1.513561+0 6.018974-1 1.717908+0 4.800540-1 1.949845+0 3.856577-1 2.238721+0 3.060300-1 2.570396+0 2.446973-1 2.951209+0 1.970704-1 3.427678+0 1.570768-1 4.000000+0 1.252600-1 4.677351+0 1.003069-1 5.495409+0 8.037685-2 6.531306+0 6.388187-2 7.852356+0 5.038347-2 9.660509+0 3.891099-2 1.202264+1 2.987596-2 1.500000+1 2.305400-2 1.949845+1 1.709239-2 2.511886+1 1.290180-2 3.198895+1 9.915287-3 4.570882+1 6.774117-3 6.918310+1 4.389612-3 1.148154+2 2.605108-3 2.290868+2 1.290120-3 4.570882+2 6.429933-4 1.819701+3 1.607593-4 1.000000+5 2.921700-6 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.529400-2 1.175800-3 1.000000+5 1.175800-3 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.529400-2 9.539300-3 1.000000+5 9.539300-3 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.529400-2 1.457890-2 1.000000+5 9.999999+4 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.450300-2 8.242078+3 2.480000-2 8.055800+3 2.511886-2 7.831500+3 2.600160-2 7.218800+3 2.820000-2 5.940500+3 3.467369-2 3.551700+3 3.845918-2 2.721800+3 4.623810-2 1.681600+3 5.754399-2 9.360500+2 7.244360-2 4.992800+2 9.332543-2 2.476600+2 1.862087-1 3.602800+1 2.317395-1 1.969900+1 2.691535-1 1.310729+1 3.162278-1 8.510268+0 3.672823-1 5.740465+0 4.216965-1 4.020008+0 4.786301-1 2.919942+0 5.432503-1 2.136752+0 6.095369-1 1.620256+0 6.839117-1 1.238074+0 7.673615-1 9.530736-1 8.709636-1 7.196452-1 9.440609-1 6.055751-1 1.023293+0 5.132507-1 1.148154+0 4.084970-1 1.273503+0 3.347612-1 1.428894+0 2.704727-1 1.659587+0 2.066525-1 1.905461+0 1.624289-1 2.162719+0 1.311887-1 2.483133+0 1.047108-1 2.851018+0 8.419934-2 3.311311+0 6.699690-2 3.845918+0 5.370464-2 4.518559+0 4.264431-2 5.308844+0 3.411758-2 6.309573+0 2.707528-2 7.585776+0 2.132428-2 9.225714+0 1.668190-2 1.122018+1 1.314361-2 1.400000+1 1.011500-2 1.840772+1 7.387856-3 2.454709+1 5.358609-3 3.198895+1 4.016113-3 4.570882+1 2.743840-3 6.918310+1 1.777972-3 1.161449+2 1.042804-3 2.317395+2 5.165194-4 4.623810+2 2.574427-4 1.840772+3 6.436875-5 1.000000+5 1.183400-6 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.450300-2 8.721400-4 1.000000+5 8.721400-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.450300-2 1.263700-2 1.000000+5 1.263700-2 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.450300-2 1.099386-2 1.000000+5 9.999999+4 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.946200-2 2.040228+4 1.985000-2 1.942088+4 2.264644-2 1.354758+4 2.818383-2 7.319551+3 3.162278-2 5.248955+3 3.672823-2 3.393343+3 4.623810-2 1.710512+3 5.754399-2 8.818287+2 7.161434-2 4.503888+2 9.120108-2 2.126113+2 1.678804-1 3.158421+1 2.113489-1 1.550092+1 2.511886-1 9.154059+0 2.917427-1 5.848068+0 3.349654-1 3.895454+0 3.801894-1 2.703031+0 4.265795-1 1.951829+0 4.786301-1 1.419303+0 5.308844-1 1.072651+0 5.888437-1 8.160546-1 6.531306-1 6.250492-1 7.244360-1 4.821651-1 8.035261-1 3.746095-1 9.225714-1 2.701005-1 9.772372-1 2.369056-1 1.035142+0 2.092400-1 1.109175+0 1.815998-1 1.202264+0 1.551742-1 1.318257+0 1.306940-1 1.479108+0 1.063331-1 1.778279+0 7.667897-2 2.018366+0 6.166865-2 2.317395+0 4.903062-2 2.660725+0 3.927585-2 3.054921+0 3.168573-2 3.548134+0 2.529922-2 4.168694+0 2.001204-2 4.897788+0 1.595060-2 5.754399+0 1.280789-2 6.839116+0 1.019933-2 8.222427+0 8.059416-3 1.011579+1 6.235509-3 1.258925+1 4.796096-3 1.566751+1 3.717186-3 2.018366+1 2.787723-3 2.540973+1 2.160087-3 3.235937+1 1.660281-3 4.623810+1 1.134592-3 6.998420+1 7.353616-4 1.174898+2 4.313806-4 2.344229+2 2.136919-4 4.677351+2 1.065164-4 1.862087+3 2.663317-5 1.000000+5 4.953400-7 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.946200-2 8.148800-4 1.000000+5 8.148800-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.946200-2 8.029100-3 1.000000+5 8.029100-3 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.946200-2 1.061802-2 1.000000+5 9.999999+4 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 6.523300-3 9.695921+3 6.740000-3 9.254800+3 6.900000-3 8.998400+3 7.079458-3 8.700735+3 7.328245-3 8.341468+3 7.943282-3 7.456517+3 8.511380-3 6.802872+3 9.015711-3 6.265938+3 9.885531-3 5.446782+3 1.060000-2 4.912920+3 1.135011-2 4.407399+3 1.380384-2 3.200742+3 1.531087-2 2.677652+3 1.778279-2 2.057607+3 2.065380-2 1.564083+3 2.317395-2 1.260459+3 2.754229-2 9.032663+2 3.300000-2 6.303780+2 3.890451-2 4.502139+2 4.623810-2 3.135134+2 5.500000-2 2.160600+2 6.456542-2 1.520537+2 7.585776-2 1.061151+2 9.120108-2 6.981962+1 1.109175-1 4.440398+1 1.400000-1 2.569840+1 2.691535-1 5.436038+0 3.273407-1 3.434323+0 3.935501-1 2.244187+0 4.677351-1 1.516973+0 5.370318-1 1.116296+0 6.237348-1 8.065457-1 7.244360-1 5.870350-1 8.511380-1 4.204055-1 9.660509-1 3.256436-1 1.188502+0 2.169857-1 1.333521+0 1.741983-1 1.513561+0 1.378059-1 1.717908+0 1.099101-1 1.949845+0 8.829423-2 2.238721+0 7.006030-2 2.570396+0 5.601840-2 2.951209+0 4.511515-2 3.427678+0 3.595892-2 4.000000+0 2.867500-2 4.677351+0 2.296323-2 5.495409+0 1.840042-2 6.531306+0 1.462469-2 7.852356+0 1.153395-2 9.660509+0 8.907860-3 1.202264+1 6.839352-3 1.500000+1 5.277600-3 1.949845+1 3.912783-3 2.511886+1 2.953579-3 3.198895+1 2.269855-3 4.570882+1 1.550814-3 6.918310+1 1.004875-3 1.161449+2 5.893943-4 2.317395+2 2.919333-4 4.623810+2 1.455050-4 1.840772+3 3.638081-5 1.000000+5 6.688600-7 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 6.523300-3 9.094800-4 1.000000+5 9.094800-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.523300-3 1.178300-4 1.000000+5 1.178300-4 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.523300-3 5.495990-3 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 6.148800-3 1.539518+4 6.340000-3 1.500304+4 6.700000-3 1.419470+4 6.918310-3 1.368753+4 7.650000-3 1.211720+4 8.000000-3 1.143180+4 8.511380-3 1.047231+4 9.549926-3 8.821357+3 1.000000-2 8.214560+3 1.080000-2 7.265300+3 1.273503-2 5.470599+3 1.364583-2 4.823531+3 1.603245-2 3.548116+3 1.737801-2 3.023476+3 2.018366-2 2.222780+3 2.213095-2 1.827054+3 2.553000-2 1.336978+3 2.917427-2 9.889408+2 3.273407-2 7.576336+2 3.758374-2 5.462331+2 4.365158-2 3.799357+2 5.069907-2 2.621425+2 5.956621-2 1.743752+2 7.079458-2 1.117531+2 8.609938-2 6.692660+1 1.059254-1 3.859053+1 2.213095-1 5.315857+0 2.722701-1 3.062158+0 3.235937-1 1.946653+0 3.801894-1 1.284806+0 4.365158-1 9.060675-1 5.011872-1 6.437485-1 5.688529-1 4.740874-1 6.382635-1 3.615260-1 7.161434-1 2.776416-1 8.222427-1 2.040259-1 9.015711-1 1.669793-1 9.772372-1 1.410238-1 1.096478+0 1.119488-1 1.230269+0 8.948423-2 1.380384+0 7.211782-2 1.603245+0 5.498322-2 1.840772+0 4.312954-2 2.089296+0 3.477157-2 2.398833+0 2.769993-2 2.754229+0 2.223137-2 3.198895+0 1.765687-2 3.715352+0 1.413043-2 4.365158+0 1.120216-2 5.128614+0 8.947885-3 6.095369+0 7.089921-3 7.328245+0 5.575912-3 8.810489+0 4.418620-3 1.071519+1 3.475769-3 1.318257+1 2.715258-3 1.678804+1 2.052533-3 2.089296+1 1.603428-3 2.540973+1 1.291088-3 3.235937+1 9.923807-4 4.623810+1 6.781344-4 6.998420+1 4.395311-4 1.174898+2 2.578380-4 2.344229+2 1.277218-4 4.677351+2 6.366498-5 1.862087+3 1.591842-5 1.000000+5 2.960600-7 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 6.148800-3 8.136700-4 1.000000+5 8.136700-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.148800-3 2.118900-4 1.000000+5 2.118900-4 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.148800-3 5.123240-3 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 4.968600-3 6.291246+4 5.050000-3 6.071393+4 5.370318-3 5.496474+4 5.688529-3 4.977312+4 6.400000-3 4.036000+4 7.161434-3 3.261050+4 8.317638-3 2.432557+4 8.810489-3 2.164664+4 1.023293-2 1.588039+4 1.109175-2 1.333602+4 1.303167-2 9.327758+3 1.428894-2 7.548628+3 1.650000-2 5.386120+3 1.883649-2 3.907786+3 2.089296-2 3.024971+3 2.426610-2 2.070694+3 2.800000-2 1.427800+3 3.198895-2 1.002518+3 3.630781-2 7.116742+2 4.168694-2 4.863409+2 4.800000-2 3.274688+2 5.559043-2 2.154805+2 6.531306-2 1.351208+2 7.852356-2 7.860723+1 9.660509-2 4.237598+1 1.244515-1 1.974591+1 1.927525-1 5.253197+0 2.371374-1 2.821655+0 2.818383-1 1.692950+0 3.273407-1 1.095332+0 3.758374-1 7.382826-1 4.265795-1 5.180462-1 4.786301-1 3.779796-1 5.370318-1 2.777434-1 6.025596-1 2.056594-1 6.683439-1 1.580832-1 7.413102-1 1.223396-1 8.709636-1 8.288531-2 9.332543-1 7.060335-2 9.885531-1 6.213171-2 1.059254+0 5.371622-2 1.148154+0 4.569677-2 1.250000+0 3.883390-2 1.380384+0 3.236852-2 1.757924+0 2.105402-2 2.000000+0 1.685348-2 2.290868+0 1.344390-2 2.630268+0 1.076297-2 3.019952+0 8.678576-3 3.507519+0 6.925329-3 4.120975+0 5.475001-3 4.841724+0 4.361555-3 5.688529+0 3.500360-3 6.760830+0 2.786141-3 8.128305+0 2.200509-3 1.000000+1 1.701700-3 1.244515+1 1.308330-3 1.531087+1 1.027212-3 1.972423+1 7.697852-4 2.511886+1 5.886424-4 3.198895+1 4.523740-4 4.570882+1 3.090634-4 6.918310+1 2.002768-4 1.161449+2 1.174650-4 2.317395+2 5.818095-5 4.623810+2 2.899846-5 1.840772+3 7.250515-6 1.000000+5 1.333000-7 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 4.968600-3 6.982300-4 1.000000+5 6.982300-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.968600-3 7.813700-5 1.000000+5 7.813700-5 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 4.968600-3 4.192233-3 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 4.366900-3 1.518800+5 4.490000-3 1.422504+5 4.623810-3 1.310414+5 5.248075-3 9.370483+4 5.688529-3 7.507039+4 6.500000-3 5.153560+4 7.413102-3 3.531027+4 8.317638-3 2.513726+4 9.015711-3 1.972267+4 1.096478-2 1.078700+4 1.230269-2 7.492112+3 1.400000-2 4.955160+3 1.678804-2 2.734014+3 1.927525-2 1.723511+3 2.187762-2 1.122704+3 2.540973-2 6.714990+2 3.000000-2 3.763872+2 3.548134-2 2.080253+2 4.265795-2 1.076156+2 5.188000-2 5.300672+1 6.531306-2 2.286228+1 1.273503-1 1.965514+0 1.548817-1 9.625183-1 1.819701-1 5.384119-1 2.113489-1 3.161087-1 2.454709-1 1.869672-1 2.818383-1 1.159184-1 3.198895-1 7.535617-2 3.589219-1 5.130999-2 4.027170-1 3.520113-2 4.466836-1 2.525408-2 4.954502-1 1.824773-2 5.432503-1 1.375312-2 5.956621-1 1.043775-2 6.456542-1 8.265993-3 7.079458-1 6.379775-3 8.035261-1 4.515896-3 8.609938-1 3.728910-3 9.120108-1 3.199649-3 9.549926-1 2.847560-3 1.000000+0 2.550696-3 1.047129+0 2.300764-3 1.109175+0 2.037596-3 1.174898+0 1.817342-3 1.258925+0 1.596204-3 1.364583+0 1.382297-3 1.531087+0 1.132865-3 1.840772+0 8.181795-4 2.065380+0 6.719829-4 2.371374+0 5.349741-4 2.722701+0 4.290970-4 3.162278+0 3.405902-4 3.672823+0 2.724086-4 4.315191+0 2.158402-4 5.069907+0 1.723167-4 6.025596+0 1.364659-4 7.244360+0 1.072729-4 8.609938+0 8.619450-5 1.047129+1 6.774563-5 1.300000+1 5.232000-5 1.621810+1 4.047826-5 2.041738+1 3.118180-5 2.540973+1 2.447373-5 3.198895+1 1.904579-5 4.570882+1 1.301192-5 6.918310+1 8.431619-6 1.161449+2 4.945363-6 2.317395+2 2.449384-6 4.623810+2 1.220854-6 1.840772+3 3.052547-7 1.000000+5 5.612000-9 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 4.366900-3 5.320800-4 1.000000+5 5.320800-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.366900-3 2.350900-4 1.000000+5 2.350900-4 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.366900-3 3.599730-3 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 4.134300-3 2.397978+5 4.261100-3 2.200857+5 4.415704-3 2.010754+5 4.954502-3 1.471271+5 5.432503-3 1.135399+5 6.237348-3 7.625839+4 6.839116-3 5.820049+4 7.673615-3 4.124383+4 8.500000-3 3.014700+4 1.040000-2 1.598646+4 1.188502-2 1.038076+4 1.318257-2 7.396030+3 1.548817-2 4.317184+3 1.757924-2 2.805310+3 1.972423-2 1.886012+3 2.300000-2 1.100952+3 2.691535-2 6.289383+2 3.162278-2 3.511770+2 3.715352-2 1.945267+2 4.415704-2 1.025321+2 5.308844-2 5.140548+1 6.760830-2 2.058205+1 1.244515-1 2.017188+0 1.500000-1 9.979357-1 1.757924-1 5.529335-1 2.018366-1 3.329781-1 2.290868-1 2.105182-1 2.570396-1 1.396799-1 2.884032-1 9.335224-2 3.198895-1 6.541572-2 3.548134-1 4.617375-2 3.935501-1 3.284618-2 4.315191-1 2.443882-2 4.731513-1 1.830990-2 5.188000-1 1.381662-2 5.688529-1 1.050514-2 6.095369-1 8.601383-3 6.606935-1 6.859344-3 7.244360-1 5.337319-3 8.609938-1 3.380576-3 9.120108-1 2.919699-3 9.660509-1 2.540088-3 1.011579+0 2.286943-3 1.071519+0 2.020676-3 1.135011+0 1.797063-3 1.216186+0 1.572365-3 1.318257+0 1.355684-3 1.862087+0 7.375207-4 2.089296+0 6.062650-4 2.398833+0 4.829589-4 2.754229+0 3.875927-4 3.198895+0 3.078236-4 3.715352+0 2.463408-4 4.365158+0 1.952882-4 5.128614+0 1.559908-4 6.095369+0 1.236047-4 7.328245+0 9.720603-5 8.810489+0 7.703275-5 1.071519+1 6.059491-5 1.318257+1 4.733558-5 1.678804+1 3.578332-5 2.089296+1 2.795280-5 2.540973+1 2.250814-5 3.198895+1 1.751557-5 4.623810+1 1.182186-5 6.998420+1 7.662528-6 1.174898+2 4.495033-6 2.344229+2 2.226690-6 4.677351+2 1.109890-6 1.862087+3 2.775164-7 1.000000+5 5.161400-9 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 4.134300-3 5.337500-4 1.000000+5 5.337500-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.134300-3 3.419300-7 1.000000+5 3.419300-7 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.134300-3 3.600208-3 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.728800-3 2.130044+4 1.972423-3 1.853414+4 2.113489-3 1.730144+4 2.220000-3 1.636706+4 2.650000-3 1.325986+4 3.019952-3 1.128836+4 3.235937-3 1.030518+4 4.027170-3 7.605151+3 4.466836-3 6.532805+3 5.248075-3 5.121973+3 6.095369-3 4.046766+3 6.839116-3 3.361624+3 8.222426-3 2.473073+3 9.885531-3 1.800771+3 1.188502-2 1.298073+3 1.428894-2 9.269557+2 1.698244-2 6.703665+2 2.018366-2 4.810215+2 2.400000-2 3.422440+2 2.851018-2 2.421542+2 3.388442-2 1.698763+2 4.027170-2 1.182863+2 4.800000-2 8.125100+1 5.688529-2 5.608628+1 6.839116-2 3.724204+1 8.317638-2 2.391788+1 1.035142-1 1.445468+1 1.303167-1 8.441829+0 2.630268-1 1.585896+0 3.198895-1 1.000719+0 3.890451-1 6.362869-1 4.623810-1 4.298683-1 5.308844-1 3.161404-1 6.165950-1 2.282798-1 7.161434-1 1.660403-1 8.413951-1 1.188148-1 9.549926-1 9.195634-2 1.161449+0 6.261713-2 1.303167+0 5.020462-2 1.479108+0 3.966255-2 1.678804+0 3.158643-2 1.905461+0 2.534283-2 2.187762+0 2.008612-2 2.511886+0 1.604078-2 2.884032+0 1.290273-2 3.349654+0 1.027157-2 3.890451+0 8.238124-3 4.570882+0 6.545020-3 5.370318+0 5.239114-3 6.382635+0 4.159822-3 7.673615+0 3.277746-3 9.332543+0 2.565201-3 1.135011+1 2.022048-3 1.412538+1 1.561421-3 1.862087+1 1.137424-3 2.483133+1 8.254153-4 3.198895+1 6.264415-4 4.570882+1 4.279823-4 6.918310+1 2.773370-4 1.161449+2 1.626640-4 2.317395+2 8.056713-5 4.623810+2 4.015640-5 1.840772+3 1.004036-5 1.000000+5 1.845900-7 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.728800-3 5.384400-4 1.000000+5 5.384400-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.728800-3 1.083200-6 1.000000+5 1.083200-6 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.728800-3 1.189277-3 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.554000-3 1.783829+4 1.695000-3 1.772670+4 1.883649-3 1.731202+4 2.018366-3 1.687838+4 2.187762-3 1.623940+4 2.371374-3 1.551406+4 2.511886-3 1.493512+4 2.722701-3 1.405177+4 2.900000-3 1.333070+4 3.150000-3 1.232392+4 3.507519-3 1.105181+4 3.758374-3 1.024350+4 4.120975-3 9.175487+3 4.570882-3 8.056538+3 5.000000-3 7.143680+3 5.688529-3 5.949851+3 6.237348-3 5.185363+3 7.079458-3 4.253100+3 7.852356-3 3.589428+3 8.810489-3 2.952328+3 9.885531-3 2.409082+3 1.109175-2 1.952473+3 1.258925-2 1.537141+3 1.428894-2 1.200477+3 1.621810-2 9.303316+2 1.850000-2 7.081920+2 2.113489-2 5.331768+2 2.400000-2 4.037220+2 2.754229-2 2.964572+2 3.150000-2 2.177720+2 3.630781-2 1.559576+2 4.168694-2 1.119280+2 4.786301-2 7.981423+1 5.623413-2 5.338870+1 6.606934-2 3.545135+1 7.943282-2 2.202760+1 9.660509-2 1.318461+1 1.244515-1 6.725719+0 2.113489-1 1.628979+0 2.691535-1 8.580036-1 3.198895-1 5.464047-1 3.758374-1 3.612107-1 4.365158-1 2.478074-1 5.011872-1 1.763249-1 5.688529-1 1.300026-1 6.382635-1 9.921141-2 7.161434-1 7.623094-2 8.222427-1 5.604464-2 9.015711-1 4.588051-2 9.772372-1 3.875296-2 1.096478+0 3.076285-2 1.230269+0 2.459029-2 1.380384+0 1.981658-2 1.603245+0 1.510726-2 1.840772+0 1.185023-2 2.089296+0 9.552674-3 2.398833+0 7.609052-3 2.754229+0 6.106512-3 3.198895+0 4.849797-3 3.715352+0 3.881126-3 4.365158+0 3.076841-3 5.128614+0 2.457714-3 6.095369+0 1.947400-3 7.328245+0 1.531511-3 8.810489+0 1.213650-3 1.071519+1 9.546726-4 1.318257+1 7.457885-4 1.678804+1 5.637811-4 2.089296+1 4.404071-4 2.540973+1 3.546209-4 3.235937+1 2.725642-4 4.623810+1 1.862633-4 6.998420+1 1.207196-4 1.174898+2 7.082086-5 2.344229+2 3.508223-5 4.677351+2 1.748651-5 1.862087+3 4.372359-6 1.000000+5 8.131900-8 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.554000-3 5.020800-4 1.000000+5 5.020800-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.554000-3 7.465600-7 1.000000+5 7.465600-7 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.554000-3 1.051173-3 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.236600-3 1.388814+5 1.380384-3 1.238607+5 1.531087-3 1.103257+5 1.730000-3 9.489640+4 1.905461-3 8.392197+4 2.065380-3 7.521371+4 2.290868-3 6.492036+4 2.722701-3 5.003425+4 2.985383-3 4.330798+4 3.467369-3 3.384607+4 3.845918-3 2.837755+4 4.500000-3 2.149072+4 5.011872-3 1.763474+4 5.688529-3 1.388906+4 6.531306-3 1.060761+4 7.300000-3 8.485600+3 8.317638-3 6.485101+3 9.660509-3 4.719382+3 1.109175-2 3.488061+3 1.258925-2 2.624289+3 1.416900-2 1.999590+3 1.584893-2 1.537004+3 1.800000-2 1.132500+3 2.041738-2 8.314040+2 2.317395-2 6.054085+2 2.630268-2 4.380228+2 3.019952-2 3.055206+2 3.467369-2 2.115427+2 4.027170-2 1.409458+2 4.623810-2 9.621465+1 5.370318-2 6.315896+1 6.309573-2 3.984590+1 7.498942-2 2.413994+1 9.120108-2 1.356982+1 1.161449-1 6.605094+0 1.396368-1 3.796725+0 2.000000-1 1.284513+0 2.426610-1 7.213709-1 2.818383-1 4.645153-1 3.273407-1 3.012131-1 3.758374-1 2.033515-1 4.315191-1 1.383258-1 4.897788-1 9.791492-2 5.495409-1 7.205209-2 6.165950-1 5.346958-2 6.839117-1 4.116304-2 7.585776-1 3.190137-2 8.511380-1 2.411724-2 9.120108-1 2.051527-2 9.772372-1 1.757581-2 1.047129+0 1.518204-2 1.135011+0 1.290337-2 1.230269+0 1.104595-2 1.348963+0 9.313881-3 1.717908+0 6.049022-3 1.949845+0 4.855853-3 2.213095+0 3.926880-3 2.540973+0 3.138013-3 2.917427+0 2.525816-3 3.388442+0 2.011997-3 3.935501+0 1.614574-3 4.623810+0 1.283462-3 5.432503+0 1.027917-3 6.456542+0 8.165544-4 7.762471+0 6.437077-4 9.549926+0 4.969153-4 1.174898+1 3.866346-4 1.462177+1 2.989533-4 1.927525+1 2.180127-4 2.511886+1 1.624476-4 3.198895+1 1.248383-4 4.570882+1 8.529179-5 6.918310+1 5.526875-5 1.161449+2 3.241657-5 2.317395+2 1.605591-5 4.623810+2 8.002674-6 1.840772+3 2.000897-6 1.000000+5 3.678700-8 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.236600-3 4.329300-4 1.000000+5 4.329300-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.236600-3 7.120500-7 1.000000+5 7.120500-7 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.236600-3 8.029580-4 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 9.561200-4 1.661165+5 9.800000-4 1.778781+5 1.030000-3 1.913860+5 1.083927-3 1.971334+5 1.110000-3 1.994372+5 1.122018-3 1.996957+5 1.148154-3 1.981951+5 1.216186-3 1.927110+5 1.285000-3 1.861088+5 1.350000-3 1.792228+5 1.445440-3 1.688060+5 1.531087-3 1.593089+5 1.621810-3 1.494733+5 1.745000-3 1.367725+5 1.862087-3 1.255809+5 2.018366-3 1.119263+5 2.162719-3 1.008816+5 2.300000-3 9.135480+4 2.511886-3 7.858580+4 2.722701-3 6.810559+4 2.917427-3 5.985920+4 3.235937-3 4.889087+4 3.507519-3 4.152990+4 3.845918-3 3.417085+4 4.216965-3 2.795142+4 4.570882-3 2.329341+4 5.069907-3 1.830120+4 5.559043-3 1.466048+4 6.165950-3 1.134423+4 6.839116-3 8.706795+3 7.500000-3 6.840280+3 8.413951-3 5.022501+3 9.332543-3 3.774327+3 1.035142-2 2.818422+3 1.161449-2 2.022123+3 1.318257-2 1.390982+3 1.500000-2 9.411800+2 1.698244-2 6.412052+2 1.927525-2 4.300389+2 2.187762-2 2.862194+2 2.483133-2 1.891575+2 2.851018-2 1.194486+2 3.273407-2 7.487765+1 3.801894-2 4.479370+1 4.472100-2 2.544885+1 5.308844-2 1.389631+1 6.456542-2 6.912563+0 8.709636-2 2.350955+0 1.396368-1 4.262044-1 1.698244-1 2.113077-1 2.000000-1 1.183528-1 2.398833-1 6.268102-2 2.754229-1 3.896044-2 3.126079-1 2.537616-2 3.548134-1 1.665326-2 3.981072-1 1.143765-2 4.415705-1 8.212908-3 4.897788-1 5.940220-3 5.370318-1 4.483614-3 5.888437-1 3.406802-3 6.456542-1 2.607155-3 7.079458-1 2.015938-3 7.852356-1 1.521246-3 9.440609-1 9.322857-4 9.885531-1 8.294586-4 1.035142+0 7.439004-4 1.083927+0 6.721271-4 1.135011+0 6.111393-4 1.202264+0 5.466522-4 1.303167+0 4.721970-4 1.428894+0 4.029922-4 1.513561+0 3.656269-4 1.862087+0 2.535981-4 2.065380+0 2.124487-4 2.371374+0 1.691243-4 2.722701+0 1.356472-4 3.162278+0 1.076639-4 3.672823+0 8.610949-5 4.315191+0 6.822738-5 5.069907+0 5.446944-5 6.025596+0 4.313631-5 7.244360+0 3.390882-5 8.609938+0 2.724652-5 1.047129+1 2.141477-5 1.300000+1 1.653900-5 1.640590+1 1.262787-5 2.065380+1 9.731066-6 2.540973+1 7.736255-6 3.198895+1 6.020332-6 4.570882+1 4.113066-6 6.918310+1 2.665305-6 1.161449+2 1.563262-6 2.317395+2 7.742837-7 4.623810+2 3.859207-7 1.840772+3 9.649227-8 1.000000+5 1.774000-9 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 9.561200-4 3.467800-4 1.000000+5 3.467800-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 9.561200-4 4.709800-7 1.000000+5 4.709800-7 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 9.561200-4 6.088690-4 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 8.988200-4 6.611221+4 8.989000-4 6.764280+4 8.994000-4 7.206000+4 9.000000-4 7.819680+4 9.007000-4 8.648520+4 9.027000-4 1.162230+5 9.035000-4 1.301490+5 9.042000-4 1.429746+5 9.050000-4 1.581030+5 9.056000-4 1.695612+5 9.063000-4 1.828632+5 9.069000-4 1.940280+5 9.075000-4 2.048574+5 9.083000-4 2.185998+5 9.090000-4 2.298486+5 9.098000-4 2.416944+5 9.104000-4 2.498652+5 9.111000-4 2.585850+5 9.120108-4 2.686838+5 9.130000-4 2.781510+5 9.140000-4 2.863050+5 9.150600-4 2.936103+5 9.165000-4 3.017364+5 9.185000-4 3.104724+5 9.210000-4 3.187356+5 9.240000-4 3.264912+5 9.280000-4 3.349812+5 9.335000-4 3.444060+5 9.390000-4 3.510954+5 9.440609-4 3.546790+5 9.500000-4 3.562668+5 9.780000-4 3.538770+5 1.000000-3 3.527280+5 1.071519-3 3.417066+5 1.135011-3 3.300218+5 1.202264-3 3.162663+5 1.288250-3 2.978004+5 1.380384-3 2.778989+5 1.470000-3 2.590866+5 1.570000-3 2.390712+5 1.678804-3 2.187282+5 1.778279-3 2.016651+5 1.972423-3 1.723219+5 2.110000-3 1.544868+5 2.264644-3 1.366984+5 2.511886-3 1.133865+5 2.691535-3 9.950527+4 2.985383-3 8.099113+4 3.235937-3 6.861176+4 3.548134-3 5.632213+4 3.900000-3 4.567554+4 4.265795-3 3.718263+4 4.677351-3 2.990915+4 5.128614-3 2.389607+4 5.623413-3 1.897444+4 6.237348-3 1.452811+4 6.839116-3 1.138711+4 7.585776-3 8.598008+3 8.500000-3 6.262980+3 9.332543-3 4.798064+3 1.040000-2 3.500250+3 1.174898-2 2.432694+3 1.319400-2 1.707119+3 1.500000-2 1.143564+3 1.698244-2 7.693856+2 1.905461-2 5.289360+2 2.137962-2 3.612381+2 2.400000-2 2.447706+2 2.754229-2 1.527984+2 3.162278-2 9.442470+1 3.630781-2 5.792335+1 4.216965-2 3.385548+1 4.954502-2 1.883958+1 5.956621-2 9.562160+0 7.498942-2 4.060618+0 1.288250-1 5.357288-1 1.584893-1 2.480627-1 1.862087-1 1.372634-1 2.137962-1 8.323571-2 2.426610-1 5.301224-2 2.722701-1 3.541541-2 3.054921-1 2.382646-2 3.427678-1 1.614732-2 3.801894-1 1.145997-2 4.168694-1 8.507385-3 4.570882-1 6.365370-3 5.011872-1 4.798160-3 5.495409-1 3.643264-3 6.025596-1 2.785433-3 6.531306-1 2.216829-3 6.998420-1 1.833044-3 7.585776-1 1.478391-3 8.317638-1 1.164913-3 9.120108-1 9.201448-4 9.660509-1 7.998107-4 1.011579+0 7.197282-4 1.071519+0 6.357466-4 1.135011+0 5.653053-4 1.216186+0 4.946068-4 1.318257+0 4.265128-4 1.840772+0 2.368326-4 2.065380+0 1.945354-4 2.371374+0 1.548652-4 2.722701+0 1.242147-4 3.162278+0 9.859447-5 3.672823+0 7.885794-5 4.315191+0 6.248199-5 5.069907+0 4.988198-5 6.025596+0 3.950391-5 7.244360+0 3.105321-5 8.709636+0 2.459613-5 1.059254+1 1.933974-5 1.318257+1 1.489946-5 1.678804+1 1.126304-5 2.089296+1 8.798406-6 2.540973+1 7.084736-6 3.235937+1 5.445308-6 4.623810+1 3.721239-6 6.998420+1 2.411871-6 1.174898+2 1.414839-6 2.344229+2 7.008767-7 4.677351+2 3.493543-7 1.862087+3 8.735181-8 1.000000+5 1.624600-9 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 8.988200-4 3.344100-4 1.000000+5 3.344100-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 8.988200-4 4.930100-8 1.000000+5 4.930100-8 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 8.988200-4 5.643607-4 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 5.280200-4 4.750956+4 5.283000-4 4.778490+4 5.295000-4 4.830258+4 5.340000-4 4.934046+4 5.385000-4 5.010684+4 5.435000-4 5.075898+4 5.457000-4 5.129160+4 5.473000-4 5.190546+4 5.490000-4 5.284824+4 5.507000-4 5.416224+4 5.522000-4 5.568624+4 5.537300-4 5.764454+4 5.550000-4 5.961438+4 5.565000-4 6.239340+4 5.580000-4 6.570420+4 5.595000-4 6.960360+4 5.608000-4 7.350120+4 5.623413-4 7.880729+4 5.640000-4 8.542560+4 5.658000-4 9.376020+4 5.680000-4 1.057536+5 5.700000-4 1.185210+5 5.790000-4 2.008380+5 5.821032-4 2.389859+5 5.850000-4 2.789016+5 5.872000-4 3.117750+5 5.900000-4 3.566076+5 5.923000-4 3.956628+5 5.950000-4 4.438392+5 5.973000-4 4.866708+5 6.000000-4 5.387646+5 6.025596-4 5.896804+5 6.050000-4 6.393240+5 6.080000-4 7.012860+5 6.100000-4 7.429260+5 6.130000-4 8.052420+5 6.162600-4 8.720716+5 6.190000-4 9.269280+5 6.220000-4 9.849900+5 6.250000-4 1.040478+6 6.280000-4 1.093038+6 6.320000-4 1.158120+6 6.350000-4 1.203192+6 6.390000-4 1.258224+6 6.437300-4 1.316228+6 6.480000-4 1.362546+6 6.531306-4 1.411095+6 6.589600-4 1.457856+6 6.650000-4 1.497078+6 6.720000-4 1.532358+6 6.800000-4 1.560210+6 6.890000-4 1.579164+6 7.000000-4 1.588842+6 7.120000-4 1.588224+6 7.265700-4 1.576937+6 7.413102-4 1.557285+6 7.585776-4 1.525914+6 7.852356-4 1.468739+6 8.128305-4 1.404239+6 8.511380-4 1.312520+6 8.912509-4 1.218269+6 9.332543-4 1.124101+6 9.885531-4 1.009511+6 1.054200-3 8.876090+5 1.122018-3 7.775640+5 1.210000-3 6.566280+5 1.288250-3 5.660582+5 1.412538-3 4.511815+5 1.513561-3 3.781231+5 1.640590-3 3.050344+5 1.800000-3 2.366160+5 1.950000-3 1.886298+5 2.187762-3 1.348713+5 2.371374-3 1.059238+5 2.660725-3 7.436536+4 2.917427-3 5.561954+4 3.235937-3 3.984448+4 3.589219-3 2.831137+4 3.935501-3 2.077567+4 4.415704-3 1.399348+4 4.897788-3 9.732040+3 5.432503-3 6.724936+3 6.095369-3 4.425831+3 6.918310-3 2.768159+3 7.852356-3 1.715533+3 8.912509-3 1.053671+3 1.011579-2 6.416073+2 1.135011-2 4.057478+2 1.273503-2 2.549147+2 1.428894-2 1.591778+2 1.621810-2 9.418744+1 1.862087-2 5.273537+1 2.137962-2 2.930463+1 2.483133-2 1.538640+1 2.917427-2 7.627534+0 3.467369-2 3.568350+0 4.216965-2 1.496851+0 5.754399-2 3.727237-1 8.035261-2 8.347036-2 1.035142-1 2.712638-2 1.513561-1 5.081535-3 1.678804-1 3.245261-3 1.883649-1 1.987487-3 2.113489-1 1.226236-3 2.454709-1 6.592706-4 2.722701-1 4.317946-4 3.019952-1 2.847740-4 3.349654-1 1.894277-4 3.715352-1 1.269390-4 4.365158-1 6.880985-5 4.731513-1 5.095849-5 5.128614-1 3.799369-5 5.495409-1 2.973041-5 5.821032-1 2.436996-5 6.237348-1 1.933649-5 7.328245-1 1.137531-5 7.852356-1 9.118433-6 8.317638-1 7.636236-6 8.709636-1 6.664541-6 9.120108-1 5.852457-6 9.549926-1 5.175874-6 9.885531-1 4.744914-6 1.035142+0 4.257369-6 1.083927+0 3.847783-6 1.135011+0 3.499186-6 1.202264+0 3.130024-6 1.303167+0 2.703161-6 1.428894+0 2.306027-6 1.513561+0 2.091662-6 1.862087+0 1.450560-6 2.065380+0 1.215464-6 2.371374+0 9.677292-7 2.722701+0 7.760821-7 3.126079+0 6.267643-7 3.630781+0 5.010088-7 4.265795+0 3.967495-7 5.011872+0 3.165742-7 5.956621+0 2.505773-7 7.161434+0 1.968756-7 8.609938+0 1.558648-7 1.059254+1 1.208095-7 1.303167+1 9.434231-8 1.640590+1 7.223737-8 2.065380+1 5.566917-8 2.540973+1 4.425640-8 3.198895+1 3.444062-8 4.570882+1 2.352939-8 6.918310+1 1.524717-8 1.161449+2 8.943062-9 2.317395+2 4.429386-9 4.623810+2 2.207685-9 1.840772+3 5.51999-10 1.000000+5 1.01480-11 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 5.280200-4 2.026000-4 1.000000+5 2.026000-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 5.280200-4 4.750000-8 1.000000+5 4.750000-8 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 5.280200-4 3.253725-4 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 5.122700-4 7.221071+4 5.126000-4 7.145472+4 5.135000-4 7.007808+4 5.145000-4 6.894344+4 5.155000-4 6.819392+4 5.168000-4 6.758856+4 5.190000-4 6.721728+4 5.220000-4 6.724392+4 5.260000-4 6.767664+4 5.280000-4 6.812824+4 5.300000-4 6.888488+4 5.315000-4 6.974072+4 5.330000-4 7.091872+4 5.345000-4 7.248664+4 5.360000-4 7.451152+4 5.374000-4 7.687184+4 5.385800-4 7.925645+4 5.400000-4 8.265200+4 5.415000-4 8.692880+4 5.432503-4 9.291081+4 5.450000-4 1.000776+5 5.465000-4 1.072704+5 5.485000-4 1.185256+5 5.503000-4 1.304480+5 5.522000-4 1.450456+5 5.550000-4 1.706984+5 5.630000-4 2.742480+5 5.650000-4 3.073920+5 5.680000-4 3.623192+5 5.708000-4 4.188960+5 5.730000-4 4.666456+5 5.758000-4 5.312416+5 5.780000-4 5.847152+5 5.807000-4 6.532416+5 5.830000-4 7.138864+5 5.850000-4 7.681080+5 5.880000-4 8.514480+5 5.900000-4 9.081280+5 5.930000-4 9.940080+5 5.956621-4 1.070575+6 5.990000-4 1.165816+6 6.025596-4 1.265140+6 6.050000-4 1.331072+6 6.084600-4 1.420730+6 6.115000-4 1.495160+6 6.150000-4 1.575328+6 6.190000-4 1.659440+6 6.237348-4 1.748747+6 6.280000-4 1.820136+6 6.320000-4 1.879816+6 6.370000-4 1.945256+6 6.430000-4 2.011288+6 6.480000-4 2.056744+6 6.550000-4 2.106896+6 6.630000-4 2.146912+6 6.700000-4 2.169232+6 6.780000-4 2.183184+6 6.890000-4 2.187920+6 7.000000-4 2.181160+6 7.161434-4 2.156952+6 7.350000-4 2.112392+6 7.585776-4 2.042312+6 7.852356-4 1.954343+6 8.200000-4 1.835568+6 8.609938-4 1.697414+6 9.015711-4 1.566700+6 9.549926-4 1.406906+6 1.011579-3 1.254484+6 1.071519-3 1.111381+6 1.150000-3 9.504880+5 1.230269-3 8.125360+5 1.318257-3 6.861902+5 1.445440-3 5.434819+5 1.548817-3 4.532384+5 1.698244-3 3.524683+5 1.850000-3 2.771672+5 2.018366-3 2.153955+5 2.220000-3 1.623552+5 2.454709-3 1.194941+5 2.691535-3 8.963117+4 2.985383-3 6.436621+4 3.300000-3 4.638528+4 3.672823-3 3.243846+4 4.073803-3 2.276894+4 4.500000-3 1.609960+4 5.011872-3 1.098438+4 5.688529-3 6.941308+3 6.456542-3 4.344069+3 7.328245-3 2.692959+3 8.317638-3 1.654107+3 9.500000-3 9.821760+2 1.071519-2 6.074972+2 1.202264-2 3.810312+2 1.350000-2 2.366512+2 1.520000-2 1.444472+2 1.717908-2 8.625304+1 1.949845-2 5.021509+1 2.238721-2 2.763147+1 2.600160-2 1.435417+1 3.054921-2 7.032901+0 3.630781-2 3.247995+0 4.415704-2 1.342413+0 5.956621-2 3.440504-1 8.128305-2 8.339798-2 1.188502-1 1.497175-2 1.380384-1 7.659534-3 1.621810-1 3.753519-3 1.778279-1 2.514180-3 1.927525-1 1.782890-3 2.454709-1 6.467872-4 2.722701-1 4.217519-4 2.985383-1 2.904674-4 3.273407-1 2.016855-4 3.548134-1 1.475424-4 3.890451-1 1.040138-4 4.216965-1 7.716510-5 4.570882-1 5.768799-5 4.897788-1 4.526320-5 5.248075-1 3.574083-5 5.623413-1 2.841116-5 6.025596-1 2.276782-5 6.531306-1 1.771487-5 7.328245-1 1.248642-5 8.035261-1 9.504336-6 8.810489-1 7.288180-6 9.772372-1 5.448178-6 1.011579+0 4.975914-6 1.047129+0 4.574730-6 1.083927+0 4.229202-6 1.122018+0 3.929042-6 1.174898+0 3.585192-6 1.244515+0 3.224647-6 1.333521+0 2.860095-6 1.513561+0 2.323134-6 1.905461+0 1.548042-6 2.113489+0 1.298601-6 2.426610+0 1.035142-6 2.786121+0 8.311138-7 3.198895+0 6.719914-7 3.715352+0 5.377685-7 4.365158+0 4.263229-7 5.128614+0 3.405362-7 6.095369+0 2.698317-7 7.328245+0 2.122062-7 8.810489+0 1.681642-7 1.071519+1 1.322878-7 1.303167+1 1.047494-7 1.640590+1 8.020395-8 2.065380+1 6.180811-8 2.540973+1 4.913696-8 3.198895+1 3.823888-8 4.570882+1 2.612451-8 6.918310+1 1.692885-8 1.161449+2 9.928779-9 2.317395+2 4.917907-9 4.623810+2 2.451206-9 1.840772+3 6.12877-10 1.000000+5 1.12680-11 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 5.122700-4 1.980200-4 1.000000+5 1.980200-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 5.122700-4 1.173100-7 1.000000+5 1.173100-7 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 5.122700-4 3.141327-4 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 4.008700-4 4.413369+4 5.248075-4 3.481963+4 5.688529-4 3.251712+4 6.095369-4 3.043273+4 7.328245-4 2.539641+4 8.000000-4 2.313360+4 9.440609-4 1.919164+4 1.035142-3 1.719055+4 1.202264-3 1.423858+4 1.350000-3 1.222582+4 1.584893-3 9.816824+3 1.862087-3 7.799767+3 2.162719-3 6.258970+3 2.540973-3 4.908296+3 3.090295-3 3.624956+3 3.715352-3 2.706587+3 4.518559-3 1.970179+3 5.500000-3 1.421090+3 6.606934-3 1.040040+3 8.000000-3 7.450720+2 9.660509-3 5.320300+2 1.161449-2 3.800909+2 1.396368-2 2.695346+2 1.678804-2 1.897256+2 2.018366-2 1.325461+2 2.426610-2 9.188388+1 2.917427-2 6.320197+1 3.507519-2 4.313370+1 4.168694-2 2.993231+1 5.011872-2 2.011560+1 6.025596-2 1.341391+1 7.244360-2 8.877858+0 8.709636-2 5.834070+0 1.071519-1 3.609595+0 1.364583-1 2.044287+0 2.722701-1 3.960953-1 3.388442-1 2.371115-1 4.027170-1 1.591892-1 4.786301-1 1.077836-1 5.623413-1 7.547966-2 6.456542-1 5.600023-2 7.498942-1 4.083068-2 8.709636-1 2.998595-2 9.885531-1 2.325242-2 1.202264+0 1.585852-2 1.348963+0 1.274008-2 1.531087+0 1.008629-2 1.737801+0 8.050285-3 1.972423+0 6.471040-3 2.264644+0 5.137845-3 2.600160+0 4.110653-3 3.000000+0 3.287800-3 3.467369+0 2.641823-3 4.027170+0 2.122281-3 4.731513+0 1.688881-3 5.559043+0 1.353988-3 6.606934+0 1.076655-3 8.000000+0 8.419400-4 9.885531+0 6.472179-4 1.230269+1 4.973753-4 1.531087+1 3.852096-4 1.972423+1 2.886803-4 2.511886+1 2.207459-4 3.198895+1 1.696416-4 4.570882+1 1.159044-4 6.918310+1 7.510345-5 1.161449+2 4.405085-5 2.317395+2 2.181820-5 4.623810+2 1.087443-5 1.840772+3 2.719015-6 1.000000+5 4.998900-8 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 4.008700-4 2.262000-4 1.000000+5 2.262000-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.008700-4 1.175700-8 1.000000+5 1.175700-8 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.008700-4 1.746582-4 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 3.292600-4 1.207426+5 3.340000-4 1.154940+5 3.430000-4 1.077440+5 3.470000-4 1.040080+5 3.530000-4 9.810440+4 3.680000-4 8.437740+4 4.000700-4 6.416436+4 4.100000-4 5.954960+4 4.365158-4 4.964978+4 4.623810-4 4.227858+4 4.786301-4 3.858770+4 4.954502-4 3.540612+4 5.150000-4 3.237120+4 5.370318-4 2.960344+4 5.623413-4 2.703886+4 5.900000-4 2.477300+4 6.200000-4 2.278900+4 6.500000-4 2.119240+4 6.850000-4 1.970614+4 7.244360-4 1.837818+4 7.762471-4 1.699581+4 8.413951-4 1.563067+4 9.225714-4 1.430960+4 1.303167-3 1.045421+4 1.479108-3 9.257711+3 1.678804-3 8.145539+3 1.927525-3 7.025247+3 2.162719-3 6.167938+3 2.454709-3 5.307696+3 2.818383-3 4.468481+3 3.198895-3 3.786890+3 3.630781-3 3.186806+3 4.120975-3 2.662704+3 4.677351-3 2.208611+3 5.308844-3 1.818561+3 6.025596-3 1.486239+3 6.839116-3 1.205588+3 7.673615-3 9.903426+2 8.709636-3 7.920932+2 9.885531-3 6.290123+2 1.122018-2 4.958585+2 1.273503-2 3.882576+2 1.445440-2 3.019481+2 1.640590-2 2.332023+2 1.883649-2 1.745791+2 2.162719-2 1.296711+2 2.483133-2 9.558085+1 2.851018-2 6.993414+1 3.273407-2 5.080247+1 3.801894-2 3.565675+1 4.415704-2 2.483432+1 5.128614-2 1.717184+1 6.025596-2 1.145535+1 7.161434-2 7.368450+0 8.609938-2 4.567586+0 1.071519-1 2.567702+0 2.426610-1 2.909088-1 2.951209-1 1.738358-1 3.507519-1 1.111489-1 4.073803-1 7.596541-2 4.677351-1 5.383722-2 5.308844-1 3.953299-2 6.025596-1 2.924260-2 6.760830-1 2.239490-2 7.585776-1 1.726906-2 8.709636-1 1.274086-2 9.549926-1 1.047967-2 1.035142+0 8.895526-3 1.174898+0 6.929657-3 1.303167+0 5.686979-3 1.479108+0 4.504364-3 1.698244+0 3.517360-3 1.927525+0 2.823157-3 2.213095+0 2.238679-3 2.540973+0 1.788876-3 2.917427+0 1.439817-3 3.388442+0 1.146919-3 3.935501+0 9.203812-4 4.623810+0 7.316298-4 5.432503+0 5.859572-4 6.456542+0 4.654710-4 7.762471+0 3.669438-4 9.440609+0 2.873071-4 1.161449+1 2.234536-4 1.445440+1 1.727019-4 1.905461+1 1.258998-4 2.511886+1 9.260083-5 3.198895+1 7.116536-5 4.570882+1 4.861968-5 6.918310+1 3.150570-5 1.161449+2 1.847924-5 2.317395+2 9.152519-6 4.623810+2 4.561833-6 1.840772+3 1.140630-6 1.000000+5 2.097000-8 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 3.292600-4 2.056600-4 1.000000+5 2.056600-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.292600-4 2.296600-8 1.000000+5 2.296600-8 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.292600-4 1.235770-4 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.486200-4 3.260877+5 2.754229-4 2.844474+5 2.870000-4 2.670796+5 3.015000-4 2.497568+5 3.500000-4 2.087924+5 3.758374-4 1.932982+5 4.786301-4 1.508712+5 5.559043-4 1.288434+5 6.382635-4 1.105742+5 7.244360-4 9.539739+4 8.222426-4 8.172249+4 9.440609-4 6.844581+4 1.071519-3 5.774722+4 1.230269-3 4.760595+4 1.428894-3 3.827987+4 1.640590-3 3.106348+4 1.883649-3 2.503817+4 2.187762-3 1.967756+4 2.570396-3 1.505374+4 3.000000-3 1.155324+4 3.467369-3 8.952713+3 3.981072-3 6.973307+3 4.570882-3 5.395850+3 5.248075-3 4.146232+3 6.025596-3 3.163063+3 6.918310-3 2.394650+3 7.852356-3 1.843302+3 9.015711-3 1.375375+3 1.035142-2 1.018265+3 1.188502-2 7.481438+2 1.364583-2 5.454777+2 1.566751-2 3.946486+2 1.798871-2 2.833194+2 2.065380-2 2.018599+2 2.371374-2 1.427266+2 2.722701-2 1.001663+2 3.126079-2 6.978280+1 3.589219-2 4.826761+1 4.120975-2 3.315775+1 4.786301-2 2.191102+1 5.623413-2 1.391432+1 6.606934-2 8.767907+0 7.943282-2 5.129856+0 9.772372-2 2.783571+0 1.244515-1 1.350337+0 1.972423-1 3.382818-1 2.426610-1 1.825071-1 2.884032-1 1.099089-1 3.349654-1 7.133065-2 3.845918-1 4.821288-2 4.365158-1 3.391830-2 4.897788-1 2.480506-2 5.495409-1 1.826824-2 6.095369-1 1.396252-2 6.760830-1 1.074413-2 7.498942-1 8.322890-3 8.709636-1 5.801007-3 9.332543-1 4.941989-3 9.885531-1 4.349224-3 1.059254+0 3.760183-3 1.148154+0 3.198878-3 1.250000+0 2.718500-3 1.380384+0 2.265791-3 1.737801+0 1.503630-3 1.972423+0 1.207807-3 2.264644+0 9.591300-4 2.600160+0 7.673564-4 3.000000+0 6.136700-4 3.467369+0 4.930977-4 4.073803+0 3.896136-4 4.786301+0 3.102126-4 5.623413+0 2.488370-4 6.683439+0 1.979651-4 8.035261+0 1.562798-4 9.885531+0 1.208082-4 1.230269+1 9.283684-5 1.531087+1 7.190080-5 1.972423+1 5.388260-5 2.511886+1 4.120244-5 3.198895+1 3.166501-5 4.570882+1 2.163334-5 6.918310+1 1.401860-5 1.161449+2 8.222049-6 2.317395+2 4.072455-6 4.623810+2 2.029801-6 1.840772+3 5.075084-7 1.000000+5 9.330500-9 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.486200-4 1.459500-4 1.000000+5 1.459500-4 1 97000 7 7 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.486200-4 4.783800-9 1.000000+5 4.783800-9 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.486200-4 1.026652-4 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.423900-4 5.450681+5 1.430000-4 5.673280+5 1.436000-4 5.943280+5 1.440000-4 6.156480+5 1.447000-4 6.586680+5 1.471000-4 8.457310+5 1.480000-4 9.235240+5 1.487000-4 9.834480+5 1.495000-4 1.049420+6 1.502000-4 1.103472+6 1.510000-4 1.159444+6 1.518000-4 1.208348+6 1.525000-4 1.244644+6 1.532000-4 1.274756+6 1.540000-4 1.301696+6 1.548817-4 1.322671+6 1.555000-4 1.332324+6 1.565000-4 1.340184+6 1.575000-4 1.339896+6 1.585000-4 1.333020+6 1.600000-4 1.313408+6 1.615000-4 1.286244+6 1.635000-4 1.243032+6 1.660000-4 1.183864+6 1.698244-4 1.091842+6 1.740000-4 9.948160+5 1.780000-4 9.068160+5 1.820000-4 8.240160+5 1.865000-4 7.375240+5 1.930000-4 6.263320+5 2.120000-4 3.947516+5 2.220000-4 3.167292+5 2.317395-4 2.597287+5 2.400000-4 2.222068+5 2.483133-4 1.922051+5 2.560000-4 1.700276+5 2.630268-4 1.535756+5 2.691535-4 1.417098+5 2.754229-4 1.315761+5 2.818383-4 1.229818+5 2.884032-4 1.157460+5 2.951209-4 1.097040+5 3.019952-4 1.047040+5 3.090295-4 1.006081+5 3.162278-4 9.729196+4 3.240000-4 9.451880+4 3.320000-4 9.236920+4 3.427678-4 9.035882+4 3.548134-4 8.901558+4 3.672823-4 8.834757+4 3.801894-4 8.818656+4 4.027170-4 8.864484+4 4.700000-4 9.095800+4 5.069907-4 9.153229+4 5.432503-4 9.135856+4 5.800000-4 9.051840+4 6.200000-4 8.899120+4 6.606934-4 8.692664+4 7.079458-4 8.409754+4 7.585776-4 8.074915+4 8.128305-4 7.696813+4 8.709636-4 7.287315+4 9.332543-4 6.854491+4 1.011579-3 6.332956+4 1.096478-3 5.806207+4 1.190000-3 5.275960+4 1.288250-3 4.775858+4 1.412538-3 4.220534+4 1.531087-3 3.762727+4 1.678804-3 3.276944+4 1.850000-3 2.809516+4 2.018366-3 2.431388+4 2.220000-3 2.062132+4 2.454709-3 1.719909+4 2.722701-3 1.415303+4 3.019952-3 1.155566+4 3.349654-3 9.363654+3 3.715352-3 7.529963+3 4.140000-3 5.949200+3 4.570882-3 4.760483+3 5.069907-3 3.743159+3 5.623413-3 2.921275+3 6.237348-3 2.263283+3 6.918310-3 1.740961+3 7.673615-3 1.329906+3 8.511380-3 1.009035+3 9.549926-3 7.367413+2 1.071519-2 5.339234+2 1.202264-2 3.841062+2 1.348963-2 2.742453+2 1.513561-2 1.941714+2 1.698244-2 1.364698+2 1.927525-2 9.186334+1 2.187762-2 6.138153+1 2.483133-2 4.072387+1 2.851018-2 2.582691+1 3.273407-2 1.625239+1 3.801894-2 9.761768+0 4.415704-2 5.819147+0 5.248075-2 3.177836+0 6.309573-2 1.654013+0 8.035261-2 6.957099-1 1.428894-1 8.749498-2 1.757924-1 4.173335-2 2.089296-1 2.267914-2 2.426610-1 1.346178-2 2.786121-1 8.377576-3 3.162278-1 5.462326-3 3.548134-1 3.727564-3 3.981072-1 2.561865-3 4.415705-1 1.840046-3 4.897788-1 1.330823-3 5.432503-1 9.696430-4 5.956621-1 7.370833-4 6.456542-1 5.843241-4 7.079458-1 4.514305-4 8.035261-1 3.199529-4 8.609938-1 2.644924-4 9.120108-1 2.271435-4 9.549926-1 2.022616-4 1.000000+0 1.812500-4 1.047129+0 1.635316-4 1.109175+0 1.448540-4 1.174898+0 1.292048-4 1.258925+0 1.134766-4 1.364583+0 9.824709-5 1.531087+0 8.048921-5 1.840772+0 5.812841-5 2.065380+0 4.773936-5 2.371374+0 3.800257-5 2.722701+0 3.047929-5 3.162278+0 2.419125-5 3.672823+0 1.934834-5 4.315191+0 1.533034-5 5.069907+0 1.223896-5 6.025596+0 9.692617-6 7.244360+0 7.619196-6 8.709636+0 6.035064-6 1.059254+1 4.745286-6 1.303167+1 3.705567-6 1.640590+1 2.837383-6 2.065380+1 2.186617-6 2.540973+1 1.738354-6 3.162278+1 1.369716-6 4.518559+1 9.355269-7 6.839116+1 6.060844-7 1.148154+2 3.554170-7 2.290868+2 1.760174-7 4.570882+2 8.772386-8 1.819701+3 2.193336-8 1.000000+5 3.98610-10 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.423900-4 1.423900-4 1.000000+5 1.423900-4 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.423900-4 0.0 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 1.303500-4 8.430185+5 1.307000-4 8.751240+5 1.313000-4 9.298800+5 1.323000-4 1.036344+6 1.340000-4 1.248888+6 1.350000-4 1.383618+6 1.358000-4 1.491474+6 1.365000-4 1.583088+6 1.373000-4 1.681974+6 1.380384-4 1.765572+6 1.387000-4 1.832790+6 1.395000-4 1.903242+6 1.403000-4 1.960938+6 1.411000-4 2.005782+6 1.419000-4 2.038134+6 1.428894-4 2.062127+6 1.435700-4 2.069399+6 1.445440-4 2.068525+6 1.458000-4 2.051292+6 1.472000-4 2.016138+6 1.485000-4 1.973160+6 1.500000-4 1.915890+6 1.520000-4 1.832976+6 1.550000-4 1.705344+6 1.584893-4 1.561878+6 1.635000-4 1.372236+6 1.678804-4 1.222349+6 1.720000-4 1.094094+6 1.780000-4 9.288000+5 1.972423-4 5.589999+5 2.041738-4 4.738424+5 2.113489-4 4.043225+5 2.162719-4 3.653416+5 2.220000-4 3.272130+5 2.280000-4 2.941728+5 2.344229-4 2.652146+5 2.400000-4 2.445108+5 2.454709-4 2.275479+5 2.511886-4 2.128084+5 2.570396-4 2.003942+5 2.630268-4 1.900396+5 2.691535-4 1.815068+5 2.754229-4 1.745763+5 2.818383-4 1.690459+5 2.884032-4 1.647269+5 2.951209-4 1.614420+5 3.030000-4 1.587402+5 3.126079-4 1.567117+5 3.240000-4 1.555758+5 3.388442-4 1.554267+5 3.600000-4 1.566438+5 4.120975-4 1.609196+5 4.415704-4 1.621889+5 4.731513-4 1.623355+5 5.011872-4 1.614646+5 5.308844-4 1.596110+5 5.688529-4 1.562153+5 6.025596-4 1.525195+5 6.382635-4 1.480642+5 6.850000-4 1.417314+5 7.328245-4 1.350379+5 7.852356-4 1.276271+5 8.511380-4 1.185331+5 9.200000-4 1.095450+5 1.000000-3 9.984120+4 1.083927-3 9.064635+4 1.188502-3 8.046860+4 1.288250-3 7.202338+4 1.412538-3 6.297859+4 1.548817-3 5.464138+4 1.698244-3 4.708451+4 1.883649-3 3.949459+4 2.089296-3 3.284649+4 2.300000-3 2.748642+4 2.511886-3 2.320864+4 2.754229-3 1.933487+4 3.054921-3 1.562979+4 3.400000-3 1.244796+4 3.758374-3 9.985821+3 4.168694-3 7.894656+3 4.570882-3 6.365023+3 5.069907-3 4.958820+3 5.623413-3 3.835620+3 6.237348-3 2.945268+3 6.918310-3 2.245458+3 7.673615-3 1.700073+3 8.511380-3 1.278052+3 9.549926-3 9.235461+2 1.071519-2 6.622900+2 1.202264-2 4.713494+2 1.348963-2 3.328482+2 1.513561-2 2.330203+2 1.698244-2 1.618922+2 1.905461-2 1.116743+2 2.162719-2 7.367195+1 2.454709-2 4.823875+1 2.786121-2 3.135652+1 3.162278-2 2.024044+1 3.630781-2 1.246211+1 4.168694-2 7.619283+0 4.897788-2 4.257497+0 5.821032-2 2.264258+0 6.998420-2 1.144944+0 1.318257-1 1.075542-1 1.603245-1 5.211394-2 1.883649-1 2.890496-2 2.162719-1 1.756124-2 2.454709-1 1.119881-2 2.754229-1 7.490417-3 3.090295-1 5.047144-3 3.427678-1 3.562748-3 3.801894-1 2.533402-3 4.168694-1 1.883612-3 4.570882-1 1.409952-3 5.011872-1 1.062833-3 5.495409-1 8.070812-4 6.000000-1 6.252198-4 6.531306-1 4.923943-4 7.161434-1 3.828974-4 8.609938-1 2.353927-4 9.120108-1 2.034166-4 9.660509-1 1.770629-4 1.011579+0 1.594765-4 1.071519+0 1.409522-4 1.135011+0 1.253664-4 1.216186+0 1.096833-4 1.318257+0 9.455334-5 1.883649+0 5.040709-5 2.113489+0 4.146056-5 2.426610+0 3.304665-5 2.786121+0 2.653649-5 3.235937+0 2.108774-5 3.758374+0 1.688517-5 4.415704+0 1.339314-5 5.188000+0 1.070377-5 6.165950+0 8.485805-6 7.413102+0 6.676976-6 8.912509+0 5.293569-6 1.083927+1 4.165700-6 1.333521+1 3.255346-6 1.717908+1 2.429701-6 2.137962+1 1.899383-6 2.540973+1 1.569055-6 3.198895+1 1.221050-6 4.570882+1 8.342087-7 6.918310+1 5.405647-7 1.161449+2 3.170532-7 2.317395+2 1.570328-7 4.623810+2 7.827113-8 1.840772+3 1.956999-8 1.000000+5 3.59800-10 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 1.303500-4 1.303500-4 1.000000+5 1.303500-4 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 1.303500-4 0.0 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.500000+1 0.0 0.0 0.0 1.453000-5 6.788009+5 1.480000-5 6.660820+5 1.548817-5 6.400531+5 1.610000-5 6.219735+5 1.659587-5 6.109956+5 1.717908-5 6.029490+5 1.770000-5 5.997255+5 1.819701-5 6.002907+5 1.870000-5 6.044946+5 1.920000-5 6.122329+5 1.980000-5 6.260055+5 2.041738-5 6.453200+5 2.090000-5 6.639357+5 2.150000-5 6.914671+5 2.213095-5 7.256431+5 2.270000-5 7.611048+5 2.350000-5 8.183722+5 2.426610-5 8.813579+5 2.511886-5 9.609550+5 2.610000-5 1.064640+6 2.730000-5 1.208814+6 2.917427-5 1.470608+6 3.235937-5 2.003793+6 3.427678-5 2.364077+6 3.590900-5 2.683863+6 3.758374-5 3.016801+6 3.935501-5 3.369104+6 4.073803-5 3.640759+6 4.220000-5 3.921358+6 4.415704-5 4.283414+6 4.623810-5 4.651071+6 4.841724-5 5.017623+6 5.080000-5 5.398352+6 5.308844-5 5.742606+6 5.580000-5 6.119826+6 5.821032-5 6.424420+6 6.095369-5 6.730268+6 6.309573-5 6.932396+6 6.531306-5 7.101997+6 6.760830-5 7.231902+6 7.000000-5 7.316911+6 7.244360-5 7.351022+6 7.500000-5 7.330934+6 7.762471-5 7.254635+6 8.035261-5 7.123111+6 8.317638-5 6.940723+6 8.609938-5 6.711763+6 8.912509-5 6.439644+6 9.225714-5 6.128479+6 9.500000-5 5.838135+6 9.800000-5 5.507723+6 1.011579-4 5.150732+6 1.040000-4 4.825232+6 1.071519-4 4.464305+6 1.100000-4 4.142638+6 1.128000-4 3.834170+6 1.161449-4 3.479459+6 1.190000-4 3.190799+6 1.220000-4 2.903265+6 1.253700-4 2.601324+6 1.290000-4 2.302230+6 1.330000-4 2.004465+6 1.365000-4 1.769955+6 1.400000-4 1.558264+6 1.440000-4 1.342635+6 1.480000-4 1.153080+6 1.520000-4 9.871093+5 1.560000-4 8.421185+5 1.600000-4 7.158203+5 1.640590-4 6.047987+5 1.678804-4 5.143903+5 1.717908-4 4.344051+5 1.757924-4 3.640597+5 1.790000-4 3.150849+5 1.826000-4 2.671030+5 1.865000-4 2.225379+5 1.905461-4 1.834433+5 1.940000-4 1.550800+5 1.980000-4 1.272301+5 2.020000-4 1.040403+5 2.065380-4 8.257982+4 2.170000-4 4.871484+4 2.205000-4 4.122170+4 2.231500-4 3.657405+4 2.250000-4 3.380165+4 2.270000-4 3.120534+4 2.291400-4 2.885388+4 2.307000-4 2.739729+4 2.323000-4 2.611343+4 2.340000-4 2.496746+4 2.358000-4 2.398237+4 2.373000-4 2.332871+4 2.390000-4 2.275912+4 2.407000-4 2.235911+4 2.423000-4 2.212669+4 2.440000-4 2.202195+4 2.458000-4 2.205904+4 2.480000-4 2.229410+4 2.500000-4 2.267279+4 2.520000-4 2.319404+4 2.540973-4 2.387947+4 2.570396-4 2.505460+4 2.600160-4 2.646514+4 2.644700-4 2.892405+4 2.786121-4 3.857535+4 2.851018-4 4.350928+4 2.900000-4 4.731289+4 2.951209-4 5.131101+4 3.000000-4 5.510192+4 3.054921-4 5.930062+4 3.100000-4 6.266260+4 3.162278-4 6.715115+4 3.235937-4 7.220718+4 3.311311-4 7.707999+4 3.390000-4 8.179814+4 3.470000-4 8.617505+4 3.550000-4 9.015185+4 3.650000-4 9.461242+4 3.758374-4 9.878558+4 3.850000-4 1.017802+5 3.981072-4 1.053582+5 4.100000-4 1.079225+5 4.240000-4 1.101154+5 4.365158-4 1.114906+5 4.518559-4 1.124917+5 4.677351-4 1.128276+5 4.841724-4 1.125400+5 5.069907-4 1.113037+5 5.308844-4 1.092483+5 5.559043-4 1.064319+5 5.821032-4 1.029781+5 6.165950-4 9.798739+4 6.456542-4 9.359105+4 6.839116-4 8.771662+4 7.244360-4 8.159912+4 7.673615-4 7.538299+4 8.128305-4 6.918870+4 8.609938-4 6.312216+4 9.120108-4 5.725009+4 9.772372-4 5.055448+4 1.047129-3 4.432750+4 1.122018-3 3.860219+4 1.202264-3 3.340135+4 1.303167-3 2.800806+4 1.412538-3 2.331110+4 1.531087-3 1.926055+4 1.659587-3 1.580430+4 1.798871-3 1.288282+4 1.949845-3 1.043524+4 2.137962-3 8.143414+3 2.344229-3 6.308023+3 2.570396-3 4.851391+3 2.818383-3 3.705757+3 3.090295-3 2.811468+3 3.388442-3 2.118162+3 3.715352-3 1.585054+3 4.073803-3 1.178320+3 4.518559-3 8.377937+2 5.011872-3 5.911277+2 5.495409-3 4.306203+2 6.025596-3 3.116560+2 6.683439-3 2.147078+2 7.413102-3 1.468570+2 8.413951-3 9.157620+1 9.440609-3 5.919843+1 1.059254-2 3.800131+1 1.188502-2 2.422417+1 1.333521-2 1.533141+1 1.496236-2 9.623091+0 1.698244-2 5.718467+0 1.927525-2 3.372833+0 2.238721-2 1.792996+0 2.600160-2 9.455820-1 3.019952-2 4.950520-1 3.589219-2 2.326361-1 4.415704-2 9.318883-2 6.165950-2 2.110669-2 9.332543-2 3.332673-3 1.188502-1 1.141483-3 1.380384-1 5.921533-4 1.548817-1 3.596098-4 1.757924-1 2.093341-4 2.018366-1 1.168944-4 2.290868-1 6.892861-5 2.570396-1 4.293273-5 2.884032-1 2.693894-5 3.198895-1 1.783838-5 3.548134-1 1.189923-5 3.935501-1 7.999075-6 4.315191-1 5.658993-6 4.731513-1 4.030886-6 5.248075-1 2.773405-6 5.688529-1 2.087706-6 6.025596-1 1.713409-6 6.456542-1 1.366424-6 6.998420-1 1.057985-6 7.673615-1 7.960197-7 8.000000-1 7.012200-7 8.511380-1 5.730285-7 8.912509-1 4.957587-7 9.332543-1 4.317690-7 9.660509-1 3.914268-7 1.000000+0 3.568800-7 1.035142+0 3.274565-7 1.071519+0 3.021908-7 1.109175+0 2.803073-7 1.161449+0 2.553288-7 1.216186+0 2.340991-7 1.303167+0 2.071658-7 1.412538+0 1.811171-7 1.500000+0 1.643700-7 1.905461+0 1.078371-7 2.113489+0 9.044420-8 2.426610+0 7.209035-8 2.786121+0 5.788772-8 3.235937+0 4.600139-8 3.758374+0 3.683419-8 4.415704+0 2.921650-8 5.188000+0 2.334960-8 6.165950+0 1.851102-8 7.413102+0 1.456502-8 8.912509+0 1.154710-8 1.083927+1 9.087222-9 1.333521+1 7.101370-9 1.698244+1 5.370303-9 2.113489+1 4.196601-9 2.540973+1 3.422768-9 3.198895+1 2.663619-9 4.570882+1 1.819803-9 6.918310+1 1.179185-9 1.148154+2 6.99820-10 2.290868+2 3.46575-10 4.570882+2 1.72732-10 1.819701+3 4.31861-11 1.000000+5 7.84870-13 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.500000+1 0.0 0.0 0.0 1.453000-5 1.453000-5 1.000000+5 1.453000-5 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.500000+1 0.0 0.0 0.0 1.453000-5 0.0 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.600000+1 0.0 0.0 0.0 1.284000-5 1.157757+6 1.310000-5 1.120768+6 1.364583-5 1.060996+6 1.412538-5 1.019226+6 1.462177-5 9.857199+5 1.513561-5 9.601583+5 1.566751-5 9.432262+5 1.610000-5 9.359134+5 1.659587-5 9.340929+5 1.710000-5 9.390540+5 1.757924-5 9.498537+5 1.800000-5 9.640094+5 1.850000-5 9.863089+5 1.905461-5 1.017737+6 1.972423-5 1.064734+6 2.041738-5 1.123564+6 2.113489-5 1.195035+6 2.190000-5 1.282926+6 2.270000-5 1.387434+6 2.371374-5 1.538089+6 2.483133-5 1.727106+6 2.650000-5 2.051813+6 3.019952-5 2.926608+6 3.198895-5 3.404902+6 3.350000-5 3.823709+6 3.507519-5 4.265088+6 3.672823-5 4.725162+6 3.850000-5 5.208276+6 4.027170-5 5.672348+6 4.220000-5 6.154973+6 4.415704-5 6.618779+6 4.650000-5 7.137831+6 4.900000-5 7.651477+6 5.188000-5 8.196967+6 5.432503-5 8.617025+6 5.688529-5 9.006464+6 5.956621-5 9.352594+6 6.220000-5 9.623683+6 6.456542-5 9.800288+6 6.683439-5 9.904663+6 6.918310-5 9.945241+6 7.161434-5 9.919028+6 7.413102-5 9.824060+6 7.673615-5 9.658684+6 7.943282-5 9.424312+6 8.230000-5 9.118494+6 8.511380-5 8.775477+6 8.810489-5 8.374951+6 9.120108-5 7.929508+6 9.400000-5 7.507614+6 9.660509-5 7.105607+6 9.950000-5 6.654585+6 1.023293-4 6.213373+6 1.050000-4 5.799636+6 1.080000-4 5.342767+6 1.110000-4 4.900116+6 1.143000-4 4.435265+6 1.174898-4 4.010950+6 1.205000-4 3.634067+6 1.240000-4 3.226927+6 1.273503-4 2.870223+6 1.303167-4 2.581289+6 1.340000-4 2.255726+6 1.365000-4 2.054369+6 1.400000-4 1.797564+6 1.440000-4 1.537975+6 1.480000-4 1.311557+6 1.513561-4 1.144412+6 1.550000-4 9.838815+5 1.584893-4 8.486464+5 1.621810-4 7.234566+5 1.660000-4 6.113282+5 1.698244-4 5.146363+5 1.735900-4 4.327325+5 1.770000-4 3.686077+5 1.800000-4 3.192582+5 1.835000-4 2.691749+5 1.865000-4 2.319827+5 1.900000-4 1.944874+5 1.940000-4 1.584247+5 1.980000-4 1.286231+5 2.020000-4 1.042259+5 2.120000-4 6.215225+4 2.153900-4 5.276110+4 2.180000-4 4.687819+4 2.205000-4 4.222392+4 2.220000-4 3.985272+4 2.240000-4 3.714451+4 2.255000-4 3.543078+4 2.270000-4 3.397084+4 2.285000-4 3.274918+4 2.300000-4 3.175087+4 2.317395-4 3.085441+4 2.335000-4 3.021249+4 2.350000-4 2.986108+4 2.365000-4 2.967699+4 2.380000-4 2.964911+4 2.398833-4 2.981899+4 2.418600-4 3.022266+4 2.440000-4 3.089592+4 2.465000-4 3.196124+4 2.490000-4 3.329313+4 2.520000-4 3.519823+4 2.560000-4 3.817944+4 2.650000-4 4.625419+4 2.722701-4 5.364436+4 2.785000-4 6.027842+4 2.830000-4 6.514791+4 2.884032-4 7.101116+4 2.930000-4 7.596025+4 2.985383-4 8.180602+4 3.050000-4 8.838997+4 3.100000-4 9.328369+4 3.162278-4 9.912507+4 3.235937-4 1.056380+5 3.311311-4 1.117907+5 3.400000-4 1.183370+5 3.500000-4 1.249120+5 3.600000-4 1.306611+5 3.690000-4 1.350931+5 3.801894-4 1.397488+5 3.935501-4 1.442204+5 4.073803-4 1.476740+5 4.216965-4 1.501490+5 4.365158-4 1.516530+5 4.518559-4 1.522259+5 4.677351-4 1.519266+5 4.841724-4 1.508294+5 5.069907-4 1.483430+5 5.308844-4 1.449267+5 5.559043-4 1.405752+5 5.821032-4 1.354585+5 6.165950-4 1.282870+5 6.531306-4 1.205081+5 6.918310-4 1.123137+5 7.328245-4 1.039411+5 7.762471-4 9.555039+4 8.222426-4 8.728410+4 8.810489-4 7.770358+4 9.440609-4 6.866032+4 1.011579-3 6.024026+4 1.083927-3 5.248701+4 1.161449-3 4.543164+4 1.245000-3 3.904594+4 1.348963-3 3.253958+4 1.462177-3 2.689117+4 1.603245-3 2.145475+4 1.737801-3 1.748510+4 1.883649-3 1.415880+4 2.065380-3 1.104355+4 2.264644-3 8.549687+3 2.483133-3 6.571329+3 2.722701-3 5.016011+3 3.000000-3 3.747492+3 3.311311-3 2.762713+3 3.630781-3 2.064079+3 4.000000-3 1.508257+3 4.415704-3 1.087000+3 4.841724-3 7.960810+2 5.128614-3 6.522572+2 5.623413-3 4.703427+2 6.237348-3 3.229633+2 7.328245-3 1.785756+2 8.128305-3 1.212444+2 9.015711-3 8.172595+1 1.011579-2 5.233979+1 1.135011-2 3.328885+1 1.273503-2 2.101802+1 1.412538-2 1.380232+1 1.584893-2 8.584966+0 1.798871-2 5.052744+0 2.065380-2 2.810693+0 2.371374-2 1.552004+0 2.754229-2 8.091631-1 3.162278-2 4.405440-1 3.758374-2 2.043705-1 4.623810-2 8.060687-2 5.370318-2 4.095369-2 7.943282-2 6.924160-3 9.549926-2 3.019965-3 1.023293-1 2.220219-3 1.216186-1 1.033334-3 1.500000-1 4.016200-4 1.640590-1 2.712198-4 1.819701-1 1.735366-4 2.137962-1 8.760930-5 2.371374-1 5.680180-5 2.630268-1 3.709941-5 2.884032-1 2.558729-5 3.162278-1 1.776971-5 3.467369-1 1.243024-5 3.758374-1 9.151296-6 4.073803-1 6.781680-6 4.415705-1 5.061454-6 4.786301-1 3.803627-6 5.248075-1 2.766509-6 5.623413-1 2.192531-6 6.025596-1 1.748870-6 6.456542-1 1.408155-6 6.918310-1 1.141402-6 7.498942-1 8.999271-7 8.035261-1 7.374355-7 8.511380-1 6.217931-7 9.015711-1 5.277936-7 9.440609-1 4.659461-7 9.885531-1 4.143003-7 1.035142+0 3.714443-7 1.083927+0 3.355377-7 1.135011+0 3.050619-7 1.202264+0 2.728716-7 1.303167+0 2.357368-7 1.428894+0 2.012363-7 1.513561+0 1.826044-7 1.862087+0 1.266515-7 2.065380+0 1.060975-7 2.371374+0 8.445899-8 2.722701+0 6.773885-8 3.162278+0 5.376407-8 3.672823+0 4.300127-8 4.315191+0 3.407116-8 5.069907+0 2.720046-8 6.025596+0 2.154180-8 7.244360+0 1.693354-8 8.709636+0 1.341260-8 1.059254+1 1.054645-8 1.303167+1 8.235468-9 1.640590+1 6.305982-9 2.065380+1 4.859618-9 2.540973+1 3.863350-9 3.198895+1 3.006466-9 4.570882+1 2.054038-9 6.918310+1 1.330958-9 1.161449+2 7.80655-10 2.317395+2 3.86663-10 4.623810+2 1.92718-10 1.840772+3 4.81862-11 1.000000+5 8.85900-13 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.600000+1 0.0 0.0 0.0 1.284000-5 1.284000-5 1.000000+5 1.284000-5 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.600000+1 0.0 0.0 0.0 1.284000-5 0.0 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 6.279000-5 3.962120+5 6.309573-5 3.915277+5 6.382635-5 3.775777+5 7.000000-5 2.675420+5 7.244360-5 2.365437+5 7.500000-5 2.101120+5 7.762471-5 1.880067+5 8.035261-5 1.692267+5 8.317638-5 1.532416+5 8.650000-5 1.378164+5 9.015711-5 1.239747+5 9.500000-5 1.092442+5 1.000000-4 9.711280+4 1.060000-4 8.552140+4 1.122018-4 7.606838+4 1.174898-4 6.957571+4 1.240000-4 6.312420+4 1.303167-4 5.811630+4 1.380384-4 5.321444+4 1.479108-4 4.828309+4 1.621810-4 4.280381+4 1.819701-4 3.712937+4 2.041738-4 3.244300+4 2.722701-4 2.346100+4 3.507519-4 1.752808+4 4.265795-4 1.385886+4 5.011872-4 1.135359+4 6.025596-4 8.968123+3 7.161434-4 7.135049+3 8.511380-4 5.634718+3 1.000000-3 4.491300+3 1.188502-3 3.498648+3 1.445440-3 2.614645+3 1.757924-3 1.938770+3 2.187762-3 1.376804+3 2.754229-3 9.527506+2 3.548134-3 6.303176+2 4.518559-3 4.215209+2 5.623413-3 2.907017+2 6.918310-3 2.028766+2 8.413951-3 1.433679+2 1.000000-2 1.048668+2 1.174898-2 7.724119+1 1.513561-2 4.808786+1 1.840772-2 3.285206+1 2.264644-2 2.177504+1 3.000000-2 1.234807+1 3.589219-2 8.538695+0 4.120975-2 6.387937+0 4.897788-2 4.404072+0 5.821032-2 3.013544+0 7.079458-2 1.944817+0 8.609938-2 1.245546+0 1.035142-1 8.135760-1 1.333521-1 4.484742-1 2.264644-1 1.273099-1 2.951209-1 6.802267-2 3.589219-1 4.308331-2 4.216965-1 2.977085-2 4.954502-1 2.072385-2 5.754399-1 1.490597-2 6.606935-1 1.107139-2 7.673615-1 8.081693-3 8.912509-1 5.941906-3 1.011579+0 4.614322-3 1.216186+0 3.220891-3 1.380384+0 2.534132-3 1.548817+0 2.051273-3 1.757924+0 1.638237-3 2.000000+0 1.312500-3 2.290868+0 1.047101-3 2.630268+0 8.382427-4 3.019952+0 6.758209-4 3.507519+0 5.392943-4 4.120975+0 4.263561-4 4.841724+0 3.396472-4 5.688529+0 2.725810-4 6.760830+0 2.169656-4 8.128305+0 1.713565-4 1.000000+1 1.325200-4 1.244515+1 1.018839-4 1.548817+1 7.893766-5 2.000000+1 5.901900-5 2.540973+1 4.526847-5 3.198895+1 3.522832-5 4.570882+1 2.406798-5 6.918310+1 1.559565-5 1.161449+2 9.147266-6 2.317395+2 4.530666-6 4.623810+2 2.258203-6 1.840772+3 5.646144-7 1.000000+5 1.038000-8 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 6.279000-5 6.279000-5 1.000000+5 6.279000-5 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 6.279000-5 0.0 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 4.101000-5 6.501040+6 4.180000-5 6.210880+6 4.330000-5 5.658060+6 4.841724-5 4.167507+6 5.188000-5 3.428785+6 5.500000-5 2.889040+6 5.888437-5 2.346430+6 7.413102-5 1.135966+6 8.222426-5 8.254471+5 9.332543-5 5.633116+5 1.364583-4 1.810103+5 1.584893-4 1.164567+5 1.819701-4 7.806034+4 2.041738-4 5.631116+4 2.264644-4 4.225490+4 2.483133-4 3.296246+4 2.691535-4 2.671512+4 2.900000-4 2.214340+4 3.126079-4 1.846442+4 3.358400-4 1.563176+4 3.600000-4 1.339962+4 3.850000-4 1.163384+4 4.120975-4 1.015889+4 4.415704-4 8.921050+3 4.731513-4 7.891139+3 5.069907-4 7.033101+3 5.432503-4 6.311682+3 5.888437-4 5.607507+3 6.382635-4 5.017044+3 7.000000-4 4.450540+3 7.852356-4 3.867221+3 9.120108-4 3.250485+3 1.348963-3 2.088821+3 1.603245-3 1.708026+3 1.883649-3 1.405618+3 2.187762-3 1.164880+3 2.540973-3 9.584774+2 2.951209-3 7.828863+2 3.427678-3 6.346253+2 3.935501-3 5.191319+2 4.518559-3 4.216773+2 5.069907-3 3.525057+2 5.821032-3 2.816672+2 6.606934-3 2.277486+2 7.585776-3 1.791921+2 8.709636-3 1.398691+2 1.000000-2 1.083114+2 1.148154-2 8.303544+1 1.348963-2 6.043097+1 1.757924-2 3.556650+1 2.000000-2 2.727533+1 2.238721-2 2.138671+1 2.540973-2 1.614303+1 2.917427-2 1.177957+1 3.388442-2 8.316075+0 3.935501-2 5.826667+0 4.570882-2 4.051494+0 5.370318-2 2.718261+0 6.309573-2 1.810207+0 7.585776-2 1.128116+0 9.332543-2 6.571397-1 1.161449-1 3.684910-1 2.290868-1 6.011800-2 2.818383-1 3.479152-2 3.349654-1 2.220323-2 3.935501-1 1.470792-2 4.518559-1 1.040524-2 5.128614-1 7.626476-3 5.821032-1 5.629536-3 6.531306-1 4.302137-3 7.328245-1 3.310511-3 8.511380-1 2.376874-3 9.332543-1 1.951331-3 1.011579+0 1.653278-3 1.148154+0 1.286106-3 1.273503+0 1.053823-3 1.428894+0 8.511685-4 1.659587+0 6.501387-4 1.883649+0 5.211748-4 2.137962+0 4.206757-4 2.454709+0 3.355178-4 2.818383+0 2.695762-4 3.273407+0 2.143531-4 3.801894+0 1.717323-4 4.466836+0 1.362894-4 5.248075+0 1.089800-4 6.237348+0 8.644298-5 7.498942+0 6.804906-5 9.015711+0 5.397499-5 1.083927+1 4.308601-5 1.333521+1 3.367050-5 1.698244+1 2.546277-5 2.113489+1 1.989773-5 2.540973+1 1.622805-5 3.235937+1 1.247358-5 4.623810+1 8.523777-6 6.998420+1 5.524648-6 1.174898+2 3.240866-6 2.344229+2 1.605442-6 4.677351+2 8.002319-7 1.862087+3 2.000911-7 1.000000+5 3.721300-9 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 4.101000-5 4.101000-5 1.000000+5 4.101000-5 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 4.101000-5 0.0 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 2.751000-5 1.642425+7 2.818383-5 1.491978+7 2.951209-5 1.254926+7 3.090295-5 1.063230+7 3.273407-5 8.710276+6 3.548134-5 6.646598+6 5.248075-5 1.813882+6 5.754399-5 1.345445+6 6.237348-5 1.043665+6 6.683439-5 8.453253+5 7.161434-5 6.897688+5 7.585776-5 5.858046+5 8.035261-5 5.004516+5 8.511380-5 4.302494+5 9.015711-5 3.722820+5 9.549926-5 3.242412+5 1.011579-4 2.842202+5 1.080000-4 2.464948+5 1.150000-4 2.164884+5 1.230269-4 1.896350+5 1.318257-4 1.667833+5 1.412538-4 1.477157+5 1.513561-4 1.317360+5 1.621810-4 1.182492+5 1.757924-4 1.049584+5 1.950000-4 9.075280+4 2.187762-4 7.777656+4 2.511886-4 6.514914+4 4.466836-4 3.200106+4 5.432503-4 2.495561+4 6.500000-4 1.972648+4 7.673615-4 1.575455+4 9.015711-4 1.257334+4 1.059254-3 9.960776+3 1.244515-3 7.829982+3 1.445440-3 6.218089+3 1.698244-3 4.813888+3 2.000000-3 3.684474+3 2.371374-3 2.767802+3 2.786121-3 2.095617+3 3.311311-3 1.542969+3 3.845918-3 1.175052+3 4.466836-3 8.885209+2 5.188000-3 6.668315+2 6.025596-3 4.965211+2 6.918310-3 3.753823+2 8.000000-3 2.774864+2 9.225714-3 2.047190+2 1.083927-2 1.439619+2 1.244515-2 1.056963+2 1.412538-2 7.908594+1 1.584893-2 6.036950+1 1.798871-2 4.454144+1 2.065380-2 3.172840+1 2.371374-2 2.243373+1 2.722701-2 1.574450+1 3.126079-2 1.096902+1 3.589219-2 7.587235+0 4.168694-2 5.050148+0 4.841724-2 3.335520+0 5.688529-2 2.117126+0 6.683439-2 1.333293+0 8.035261-2 7.795960-1 9.885531-2 4.228182-1 1.288250-1 1.914598-1 2.000000-1 5.113400-2 2.454709-1 2.780028-2 2.917427-1 1.675238-2 3.388442-1 1.088013-2 3.890451-1 7.359610-3 4.415705-1 5.181412-3 5.000000-1 3.700200-3 5.623413-1 2.711982-3 6.237348-1 2.076101-3 6.918310-1 1.600244-3 7.673615-1 1.241748-3 8.709636-1 9.153716-4 9.332543-1 7.798838-4 9.885531-1 6.863800-4 1.059254+0 5.934505-4 1.148154+0 5.048722-4 1.250000+0 4.290500-4 1.380384+0 3.575941-4 1.737801+0 2.373091-4 1.972423+0 1.906173-4 2.264644+0 1.513616-4 2.600160+0 1.210986-4 3.000000+0 9.684900-5 3.467369+0 7.782090-5 4.073803+0 6.148923-5 4.786301+0 4.895788-5 5.623413+0 3.927088-5 6.683439+0 3.124199-5 8.035261+0 2.466370-5 9.885531+0 1.906551-5 1.230269+1 1.465126-5 1.531087+1 1.134727-5 1.972423+1 8.503612-6 2.511886+1 6.502521-6 3.198895+1 4.997256-6 4.570882+1 3.414152-6 6.918310+1 2.212353-6 1.161449+2 1.297585-6 2.317395+2 6.427046-7 4.623810+2 3.203376-7 1.840772+3 8.009393-8 1.000000+5 1.472500-9 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 2.751000-5 2.751000-5 1.000000+5 2.751000-5 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 2.751000-5 0.0 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.600000+1 0.0 0.0 0.0 4.600000-6 2.709876+6 4.640000-6 2.751960+6 4.841724-6 2.893727+6 5.011872-6 2.996975+6 5.270000-6 3.129256+6 5.600000-6 3.262384+6 5.888437-6 3.351863+6 6.237348-6 3.435934+6 6.606934-6 3.501061+6 7.079458-6 3.553353+6 7.585776-6 3.582745+6 8.200000-6 3.589344+6 8.810489-6 3.568835+6 9.440609-6 3.524995+6 1.011579-5 3.457399+6 1.071519-5 3.381440+6 1.135011-5 3.286455+6 1.202264-5 3.174107+6 1.273503-5 3.043772+6 1.350000-5 2.892968+6 1.420000-5 2.749192+6 1.500000-5 2.581524+6 1.584893-5 2.403967+6 1.659587-5 2.250760+6 1.737801-5 2.095370+6 1.840772-5 1.901436+6 1.950000-5 1.711700+6 2.070000-5 1.523544+6 2.190000-5 1.356252+6 2.350000-5 1.164008+6 2.540973-5 9.752091+5 2.786121-5 7.850001+5 3.054921-5 6.277962+5 3.427678-5 4.710413+5 3.801894-5 3.608904+5 4.150000-5 2.862248+5 4.518559-5 2.268655+5 4.841724-5 1.867193+5 5.248075-5 1.477541+5 5.688529-5 1.160032+5 6.165950-5 9.047383+4 6.839116-5 6.516785+4 7.585776-5 4.656682+4 8.413951-5 3.302085+4 9.225714-5 2.414109+4 1.000000-4 1.821896+4 1.071519-4 1.422931+4 1.161449-4 1.059220+4 1.290000-4 7.146680+3 1.500000-4 4.043720+3 1.584893-4 3.302367+3 1.678804-4 2.690595+3 1.757924-4 2.299179+3 1.840772-4 1.979109+3 1.905461-4 1.778490+3 1.972423-4 1.606767+3 2.000000-4 1.545008+3 2.065380-4 1.434251+3 2.137962-4 1.332792+3 2.213095-4 1.246535+3 2.290868-4 1.173085+3 2.371374-4 1.110491+3 2.454709-4 1.057155+3 2.540973-4 1.011762+3 2.630268-4 9.732213+2 2.722701-4 9.406240+2 2.851018-4 9.051053+2 2.985383-4 8.773177+2 3.126079-4 8.592615+2 3.311311-4 8.436588+2 3.548134-4 8.314497+2 4.027170-4 8.160669+2 4.518559-4 7.917238+2 4.954502-4 7.678218+2 5.385800-4 7.407186+2 5.821032-4 7.115058+2 6.237348-4 6.824603+2 6.760830-4 6.454805+2 7.328245-4 6.059726+2 7.943282-4 5.648405+2 8.609938-4 5.230562+2 9.332543-4 4.812399+2 1.011579-3 4.399645+2 1.096478-3 3.997027+2 1.202264-3 3.555391+2 1.318257-3 3.138656+2 1.445440-3 2.750724+2 1.584893-3 2.394405+2 1.737801-3 2.070492+2 1.927525-3 1.744563+2 2.238721-3 1.355214+2 2.398833-3 1.199480+2 2.570396-3 1.052015+2 2.786121-3 8.962851+1 3.388442-3 5.992501+1 3.801894-3 4.696241+1 4.216965-3 3.745914+1 4.570882-3 3.124773+1 5.069907-3 2.457112+1 5.623413-3 1.918251+1 6.237348-3 1.486916+1 6.918310-3 1.144381+1 7.673615-3 8.747026+0 8.511380-3 6.640380+0 9.549926-3 4.851652+0 1.071519-2 3.518380+0 1.202264-2 2.532791+0 1.348963-2 1.809527+0 1.513561-2 1.281969+0 1.698244-2 9.015369-1 1.927525-2 6.072288-1 2.187762-2 4.059621-1 2.483133-2 2.694729-1 2.851018-2 1.709856-1 3.273407-2 1.076488-1 3.801894-2 6.468844-2 4.415704-2 3.857889-2 5.248075-2 2.107801-2 6.309573-2 1.097622-2 8.035261-2 4.619974-3 1.445440-1 5.582203-4 1.778279-1 2.664292-4 2.113489-1 1.448682-4 2.454709-1 8.603674-5 2.818383-1 5.357657-5 3.198895-1 3.495913-5 3.589219-1 2.387680-5 4.027170-1 1.642625-5 4.466836-1 1.181066-5 4.954502-1 8.552059-6 5.432503-1 6.458057-6 5.956621-1 4.910682-6 6.456542-1 3.894905-6 7.079458-1 3.011406-6 8.035261-1 2.137346-6 8.609938-1 1.768765-6 9.120108-1 1.520302-6 9.549926-1 1.354596-6 1.000000+0 1.214500-6 1.047129+0 1.096183-6 1.109175+0 9.712131-7 1.174898+0 8.663211-7 1.258925+0 7.607683-7 1.364583+0 6.585304-7 1.531087+0 5.393238-7 1.840772+0 3.894836-7 2.065380+0 3.198845-7 2.371374+0 2.546446-7 2.722701+0 2.042316-7 3.162278+0 1.620971-7 3.672823+0 1.296485-7 4.315191+0 1.027255-7 5.069907+0 8.201033-8 6.025596+0 6.494756-8 7.244360+0 5.105400-8 8.709636+0 4.043880-8 1.059254+1 3.179608-8 1.303167+1 2.482975-8 1.640590+1 1.901285-8 2.065380+1 1.465138-8 2.540973+1 1.164783-8 3.162278+1 9.177793-9 4.518559+1 6.268657-9 6.839116+1 4.061200-9 1.148154+2 2.381572-9 2.290868+2 1.179429-9 4.570882+2 5.87814-10 1.819701+3 1.46964-10 1.000000+5 2.67100-12 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.600000+1 0.0 0.0 0.0 4.600000-6 4.600000-6 1.000000+5 4.600000-6 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.600000+1 0.0 0.0 0.0 4.600000-6 0.0 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.700000+1 0.0 0.0 0.0 3.850000-6 6.200943+6 3.960000-6 6.301800+6 4.168694-6 6.431918+6 4.415704-6 6.531256+6 4.700000-6 6.589740+6 5.069907-6 6.603272+6 5.432503-6 6.569273+6 5.956621-6 6.472088+6 6.531306-6 6.324694+6 7.200000-6 6.123120+6 7.852356-6 5.910279+6 8.609938-6 5.650972+6 9.332543-6 5.396395+6 1.000000-5 5.154426+6 1.071519-5 4.892529+6 1.150000-5 4.602204+6 1.216186-5 4.358398+6 1.290000-5 4.088058+6 1.364583-5 3.819514+6 1.445440-5 3.537976+6 1.531087-5 3.252739+6 1.621810-5 2.967127+6 1.717908-5 2.686583+6 1.819701-5 2.415438+6 1.927525-5 2.156440+6 2.065380-5 1.866823+6 2.213095-5 1.603814+6 2.400000-5 1.330314+6 2.600160-5 1.098415+6 2.884032-5 8.499528+5 3.162278-5 6.723780+5 3.507519-5 5.132203+5 3.900000-5 3.859776+5 4.216965-5 3.108189+5 4.570882-5 2.470574+5 5.000000-5 1.896030+5 5.400000-5 1.499022+5 5.821032-5 1.184794+5 6.405000-5 8.707337+4 7.161434-5 6.018872+4 8.000000-5 4.137834+4 8.810489-5 2.964516+4 9.660509-5 2.141612+4 1.071519-4 1.472882+4 1.333521-4 6.573499+3 1.412538-4 5.342597+3 1.479108-4 4.549233+3 1.513561-4 4.210857+3 1.584893-4 3.636437+3 1.659587-4 3.163883+3 1.717908-4 2.865349+3 1.778279-4 2.607597+3 1.840772-4 2.385232+3 1.905461-4 2.193663+3 1.972423-4 2.028990+3 2.000000-4 1.969608+3 2.065380-4 1.866852+3 2.137962-4 1.773549+3 2.213095-4 1.695114+3 2.290868-4 1.629219+3 2.371374-4 1.573935+3 2.483133-4 1.513975+3 2.600160-4 1.466861+3 2.722701-4 1.429977+3 2.884032-4 1.394903+3 3.198895-4 1.347157+3 4.000000-4 1.267152+3 4.168694-4 1.248783+3 4.570882-4 1.198851+3 5.011872-4 1.142393+3 5.432503-4 1.087851+3 5.888437-4 1.028438+3 6.382635-4 9.658369+2 6.918310-4 9.010080+2 7.498942-4 8.346041+2 8.128305-4 7.679895+2 8.810489-4 7.022135+2 9.660509-4 6.292094+2 1.059254-3 5.594626+2 1.161449-3 4.937013+2 1.273503-3 4.324504+2 1.396368-3 3.760634+2 1.548817-3 3.188602+2 1.717908-3 2.684019+2 1.905461-3 2.242328+2 2.113489-3 1.859006+2 2.344229-3 1.529523+2 2.600160-3 1.249132+2 2.884032-3 1.012911+2 3.198895-3 8.155471+1 3.548134-3 6.518976+1 3.935501-3 5.173070+1 4.365158-3 4.075037+1 4.841724-3 3.186693+1 5.370318-3 2.473755+1 5.956621-3 1.906364+1 6.606934-3 1.458558+1 7.328245-3 1.107951+1 8.128305-3 8.357846+0 9.015711-3 6.261885+0 1.011579-2 4.508943+0 1.135011-2 3.222701+0 1.273503-2 2.285505+0 1.412538-2 1.665714+0 1.584893-2 1.162728+0 1.778279-2 8.055645-1 2.018366-2 5.337844-1 2.290868-2 3.511607-1 2.600160-2 2.292922-1 2.951209-2 1.486524-1 3.388442-2 9.192376-2 3.890451-2 5.642641-2 4.518559-2 3.300022-2 5.308844-2 1.837990-2 6.309573-2 9.747664-3 8.035261-2 3.973902-3 1.303167-1 6.552829-4 1.584893-1 3.175730-4 1.862087-1 1.761112-4 2.137962-1 1.069730-4 2.426610-1 6.820065-5 2.722701-1 4.560748-5 3.054921-1 3.072671-5 3.388442-1 2.168949-5 3.758374-1 1.542324-5 4.120975-1 1.146739-5 4.518559-1 8.583967-6 4.954502-1 6.471132-6 5.432503-1 4.914195-6 5.888437-1 3.887841-6 6.382635-1 3.098392-6 6.918310-1 2.486324-6 7.498942-1 2.007879-6 8.609938-1 1.403709-6 9.120108-1 1.216018-6 9.660509-1 1.060610-6 1.011579+0 9.563500-7 1.071519+0 8.459716-7 1.148154+0 7.357781-7 1.230269+0 6.443886-7 1.333521+0 5.557914-7 1.840772+0 3.144735-7 2.065380+0 2.583533-7 2.371374+0 2.056775-7 2.722701+0 1.649548-7 3.126079+0 1.332271-7 3.630781+0 1.064947-7 4.265795+0 8.433218-8 5.011872+0 6.728982-8 5.956621+0 5.326167-8 7.161434+0 4.184823-8 8.609938+0 3.313104-8 1.047129+1 2.603909-8 1.288250+1 2.032708-8 1.603245+1 1.576527-8 2.041738+1 1.198595-8 2.540973+1 9.406932-9 3.198895+1 7.320577-9 4.570882+1 5.001449-9 6.918310+1 3.240855-9 1.161449+2 1.900852-9 2.317395+2 9.41525-10 4.623810+2 4.69262-10 1.840772+3 1.17335-10 1.000000+5 2.15710-12 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.700000+1 0.0 0.0 0.0 3.850000-6 3.850000-6 1.000000+5 3.850000-6 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.700000+1 0.0 0.0 0.0 3.850000-6 0.0 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 6.280000-6 1.088404+7 6.531306-6 9.663057+6 8.035261-6 4.980048+6 9.500000-6 2.936720+6 1.109175-5 1.815339+6 1.288250-5 1.148546+6 1.479108-5 7.581197+5 1.678804-5 5.215049+5 1.883649-5 3.737174+5 2.113489-5 2.697360+5 2.317395-5 2.091510+5 2.540973-5 1.632298+5 2.754229-5 1.321976+5 3.019952-5 1.046600+5 3.300000-5 8.421360+4 3.589219-5 6.905541+4 3.900000-5 5.715740+4 4.265795-5 4.696220+4 4.677351-5 3.866277+4 5.128614-5 3.207917+4 5.623413-5 2.682052+4 6.165950-5 2.258086+4 6.683439-5 1.953741+4 7.328245-5 1.667543+4 8.128305-5 1.405733+4 9.015711-5 1.193622+4 1.035142-4 9.684284+3 1.150000-4 8.309920+3 1.303167-4 6.979670+3 1.445440-4 6.086144+3 1.659587-4 5.112132+3 2.000000-4 4.052000+3 2.344229-4 3.296697+3 3.126079-4 2.247023+3 4.315191-4 1.470101+3 5.128614-4 1.164528+3 7.413102-4 6.996541+2 8.511380-4 5.743760+2 1.083927-3 4.035013+2 1.333521-3 2.958565+2 1.621810-3 2.191384+2 2.018366-3 1.554754+2 2.570396-3 1.055572+2 3.126079-3 7.667873+1 5.688529-3 2.809671+1 6.309573-3 2.351403+1 7.762471-3 1.632492+1 9.440609-3 1.148243+1 1.148154-2 8.015307+0 1.396368-2 5.551878+0 1.698244-2 3.815554+0 2.041738-2 2.661028+0 2.454709-2 1.842109+0 2.951209-2 1.265248+0 3.548134-2 8.623397-1 4.265795-2 5.832002-1 5.128614-2 3.913783-1 6.165950-2 2.606661-1 7.498942-2 1.678242-1 9.225714-2 1.044442-1 1.096478-1 6.989793-2 1.445440-1 3.642053-2 2.691535-1 8.307455-3 3.349654-1 4.972102-3 4.000000-1 3.301500-3 4.731513-1 2.259120-3 5.495409-1 1.622297-3 6.309573-1 1.203094-3 7.328245-1 8.771427-4 8.413951-1 6.599782-4 9.660509-1 5.001977-4 1.202264+0 3.262105-4 1.364583+0 2.564090-4 1.531087+0 2.073353-4 1.737801+0 1.654624-4 1.972423+0 1.330205-4 2.264644+0 1.056395-4 2.600160+0 8.451723-5 3.000000+0 6.758900-5 3.467369+0 5.430965-5 4.073803+0 4.291184-5 4.786301+0 3.416592-5 5.623413+0 2.740611-5 6.683439+0 2.180352-5 8.035261+0 1.721217-5 9.885531+0 1.330496-5 1.230269+1 1.022507-5 1.531087+1 7.918933-6 1.972423+1 5.934502-6 2.511886+1 4.537949-6 3.198895+1 3.487461-6 4.570882+1 2.382624-6 6.918310+1 1.543922-6 1.148154+2 9.162764-7 2.290868+2 4.537780-7 4.570882+2 2.261612-7 1.819701+3 5.654558-8 1.000000+5 1.027600-9 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 6.280000-6 6.280000-6 1.000000+5 6.280000-6 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 6.280000-6 0.0 1.000000+5 1.000000+5 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 9.303300-7 1.025500+0 1.311520-6 1.025800+0 1.676650-6 1.026100+0 2.103560-6 1.026600+0 2.965530-6 1.027100+0 4.034670-6 1.027500+0 5.053380-6 1.028100+0 6.880080-6 1.028750+0 9.303300-6 1.029500+0 1.273180-5 1.030100+0 1.601180-5 1.031000+0 2.190960-5 1.032000+0 2.997780-5 1.033200+0 4.199380-5 1.034000+0 5.155130-5 1.035300+0 6.997360-5 1.036640+0 9.303300-5 1.038200+0 1.255510-4 1.039700+0 1.631160-4 1.041500+0 2.170240-4 1.043800+0 3.012370-4 1.046400+0 4.191140-4 1.048300+0 5.218090-4 1.051200+0 7.078220-4 1.054080+0 9.303300-4 1.057700+0 1.268100-3 1.061100+0 1.649470-3 1.065100+0 2.183700-3 1.070400+0 3.046480-3 1.076200+0 4.210210-3 1.080600+0 5.257860-3 1.087100+0 7.084100-3 1.093710+0 9.303300-3 1.102600+0 1.289930-2 1.110700+0 1.682400-2 1.120600+0 2.250670-2 1.133300+0 3.129620-2 1.147500+0 4.321290-2 1.158200+0 5.370300-2 1.174100+0 7.177060-2 1.190110+0 9.303300-2 1.205100+0 1.157710-1 1.227500+0 1.549090-1 1.250000+0 2.003000-1 1.280300+0 2.705780-1 1.307700+0 3.425880-1 1.343000+0 4.460950-1 1.382200+0 5.732740-1 1.411700+0 6.760840-1 1.455800+0 8.385660-1 1.500000+0 1.009000+0 1.562500+0 1.256550+0 1.641100+0 1.570180+0 1.706900+0 1.829320+0 1.811600+0 2.229800+0 1.937200+0 2.692170+0 2.000000+0 2.919000+0 2.044000+0 3.077000+0 2.163500+0 3.493630+0 2.372600+0 4.176210+0 2.686300+0 5.101530+0 3.000000+0 5.935000+0 3.500000+0 7.132000+0 4.000000+0 8.214000+0 5.000000+0 1.011000+1 6.000000+0 1.171000+1 7.000000+0 1.316000+1 8.000000+0 1.447000+1 9.000000+0 1.568000+1 1.000000+1 1.679000+1 1.100000+1 1.782000+1 1.200000+1 1.879000+1 1.300000+1 1.969000+1 1.400000+1 2.053000+1 1.500000+1 2.132000+1 1.600000+1 2.207000+1 1.800000+1 2.341000+1 2.000000+1 2.461000+1 2.200000+1 2.571000+1 2.400000+1 2.671000+1 2.600000+1 2.763000+1 2.800000+1 2.847000+1 3.000000+1 2.924000+1 4.000000+1 3.239000+1 5.000000+1 3.474000+1 6.000000+1 3.656000+1 8.000000+1 3.924000+1 1.000000+2 4.113000+1 1.500000+2 4.410000+1 2.000000+2 4.586000+1 3.000000+2 4.792000+1 4.000000+2 4.909000+1 5.000000+2 4.987000+1 6.000000+2 5.042000+1 8.000000+2 5.115000+1 1.000000+3 5.163000+1 1.500000+3 5.230000+1 2.000000+3 5.268000+1 3.000000+3 5.307000+1 4.000000+3 5.332000+1 5.000000+3 5.345000+1 6.000000+3 5.355000+1 8.000000+3 5.368000+1 1.000000+4 5.376000+1 1.500000+4 5.385000+1 2.000000+4 5.392000+1 3.000000+4 5.397000+1 4.000000+4 5.402000+1 5.000000+4 5.404000+1 6.000000+4 5.405000+1 8.000000+4 5.406000+1 1.000000+5 5.407000+1 1 97000 7 8 2.470000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 9.701340-7 2.090400+0 1.317200-6 2.094700+0 1.707950-6 2.099900+0 2.272190-6 2.106600+0 3.160800-6 2.114000+0 4.373370-6 2.119500+0 5.444820-6 2.127900+0 7.384200-6 2.136250+0 9.701340-6 2.147000+0 1.330120-5 2.156900+0 1.727670-5 2.169000+0 2.305680-5 2.184500+0 3.204980-5 2.201800+0 4.434180-5 2.214800+0 5.524640-5 2.234200+0 7.431620-5 2.253680+0 9.701340-5 2.281500+0 1.358840-4 2.307000+0 1.784830-4 2.338200+0 2.399860-4 2.377400+0 3.323510-4 2.410200+0 4.226950-4 2.446800+0 5.376910-4 2.485900+0 6.769830-4 2.532900+0 8.663960-4 2.556430+0 9.701340-4 2.611900+0 1.237040-3 2.660400+0 1.495530-3 2.745300+0 2.001700-3 2.809000+0 2.424180-3 2.904500+0 3.122950-3 3.000000+0 3.898000-3 3.125000+0 5.025900-3 3.234400+0 6.114720-3 3.425800+0 8.232170-3 3.569300+0 9.980030-3 3.784700+0 1.282450-2 4.000000+0 1.588000-2 4.250000+0 1.961270-2 4.625000+0 2.547330-2 5.000000+0 3.156000-2 5.500000+0 3.990760-2 6.000000+0 4.836000-2 6.750000+0 6.092250-2 7.000000+0 6.505000-2 8.000000+0 8.116000-2 9.000000+0 9.653000-2 1.000000+1 1.111000-1 1.100000+1 1.248000-1 1.200000+1 1.377000-1 1.300000+1 1.499000-1 1.400000+1 1.614000-1 1.500000+1 1.723000-1 1.600000+1 1.826000-1 1.800000+1 2.016000-1 2.000000+1 2.189000-1 2.200000+1 2.346000-1 2.400000+1 2.490000-1 2.600000+1 2.622000-1 2.800000+1 2.745000-1 3.000000+1 2.858000-1 4.000000+1 3.324000-1 5.000000+1 3.673000-1 6.000000+1 3.947000-1 8.000000+1 4.355000-1 1.000000+2 4.649000-1 1.500000+2 5.129000-1 2.000000+2 5.425000-1 3.000000+2 5.784000-1 4.000000+2 5.997000-1 5.000000+2 6.142000-1 6.000000+2 6.248000-1 8.000000+2 6.393000-1 1.000000+3 6.490000-1 1.500000+3 6.633000-1 2.000000+3 6.714000-1 3.000000+3 6.802000-1 4.000000+3 6.855000-1 5.000000+3 6.887000-1 6.000000+3 6.909000-1 8.000000+3 6.939000-1 1.000000+4 6.958000-1 1.500000+4 6.983000-1 2.000000+4 6.998000-1 3.000000+4 7.012000-1 4.000000+4 7.022000-1 5.000000+4 7.027000-1 6.000000+4 7.030000-1 8.000000+4 7.034000-1 1.000000+5 7.037000-1 1 97000 7 8 2.470000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 97000 7 9 2.470000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 9.700000+1 1.000000+5 9.700000+1 5.000000+5 9.695600+1 1.000000+6 9.689500+1 1.375000+6 9.683880+1 1.500000+6 9.681200+1 1.875000+6 9.670820+1 2.000000+6 9.666800+1 2.375000+6 9.652860+1 2.500000+6 9.648700+1 2.875000+6 9.632870+1 3.000000+6 9.627100+1 3.437500+6 9.604760+1 3.812500+6 9.584180+1 4.000000+6 9.574300+1 4.500000+6 9.545210+1 4.875000+6 9.520960+1 5.000000+6 9.513300+1 5.468700+6 9.480170+1 6.015600+6 9.438650+1 6.500000+6 9.400970+1 6.753900+6 9.380330+1 7.000000+6 9.361100+1 7.875000+6 9.288980+1 9.000000+6 9.193400+1 1.000000+7 9.105100+1 1.250000+7 8.881900+1 1.500000+7 8.649900+1 1.750000+7 8.417000+1 2.000000+7 8.180700+1 2.250000+7 7.941120+1 2.500000+7 7.703800+1 2.875000+7 7.359270+1 3.000000+7 7.248800+1 3.500000+7 6.827490+1 4.000000+7 6.445800+1 4.500000+7 6.100490+1 4.750000+7 5.938980+1 5.000000+7 5.785100+1 5.750000+7 5.356500+1 6.000000+7 5.224800+1 6.750000+7 4.856570+1 7.000000+7 4.743300+1 8.000000+7 4.333100+1 9.000000+7 3.985100+1 1.000000+8 3.686200+1 1.125000+8 3.361340+1 1.218800+8 3.142200+1 1.250000+8 3.072900+1 1.359400+8 2.841420+1 1.437500+8 2.685760+1 1.453100+8 2.655510+1 1.500000+8 2.566400+1 1.625000+8 2.340920+1 1.750000+8 2.138560+1 1.812500+8 2.046720+1 2.000000+8 1.807600+1 2.171900+8 1.633120+1 2.289100+8 1.537270+1 2.394500+8 1.466040+1 2.500000+8 1.407600+1 2.625000+8 1.352440+1 2.859400+8 1.264940+1 3.000000+8 1.211000+1 3.125000+8 1.158920+1 3.500000+8 1.015300+1 3.812500+8 9.282310+0 3.937500+8 8.939860+0 4.000000+8 8.759800+0 4.125000+8 8.377270+0 4.234400+8 8.031470+0 4.750000+8 6.533780+0 5.000000+8 5.973400+0 5.125000+8 5.741100+0 5.343800+8 5.396540+0 5.630900+8 5.031180+0 6.000000+8 4.656400+0 6.500000+8 4.253430+0 7.000000+8 3.939100+0 7.625000+8 3.622320+0 7.875000+8 3.496670+0 8.000000+8 3.431400+0 8.250000+8 3.295130+0 8.468800+8 3.173090+0 8.851600+8 2.961510+0 9.500000+8 2.632500+0 1.000000+9 2.415900+0 1.062500+9 2.194090+0 1.117200+9 2.035980+0 1.186000+9 1.874190+0 1.243500+9 1.763670+0 1.250000+9 1.752470+0 1.307700+9 1.661490+0 1.376400+9 1.572050+0 1.458800+9 1.486160+0 1.500000+9 1.450400+0 1.562500+9 1.403830+0 2.000000+9 1.180800+0 2.139200+9 1.116220+0 2.272600+9 1.054260+0 2.357800+9 1.015260+0 2.522900+9 9.419080-1 2.677700+9 8.766610-1 2.750000+9 8.475340-1 2.890900+9 7.931830-1 3.086500+9 7.234170-1 3.325700+9 6.467080-1 3.535000+9 5.869740-1 3.718100+9 5.398450-1 4.038600+9 4.676850-1 4.278900+9 4.211590-1 4.639500+9 3.615690-1 5.000000+9 3.122300-1 5.375000+9 2.696280-1 5.703100+9 2.383160-1 6.277300+9 1.940250-1 6.708000+9 1.676620-1 7.354000+9 1.363200-1 8.000000+9 1.123200-1 9.000000+9 8.520530-2 1.00000+10 6.632000-2 1.27030+10 3.734820-2 1.55700+10 2.281980-2 2.15420+10 1.032590-2 3.13500+10 4.096250-3 1.00000+11 2.299200-4 1.68570+11 6.326080-5 3.34410+11 1.176950-5 1.39060+12 3.681470-7 1.17920+13 2.156690-9 1.00000+14 1.28990-11 3.16230+15 3.16230-15 1.00000+17 7.45150-19 1 97000 7 0 2.470000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.22600-11 1.000000+2 1.226000-9 1.000000+3 1.226000-7 1.000000+4 1.226000-5 1.000000+5 1.226000-3 5.000000+5 3.065000-2 1.000000+6 1.226000-1 1.375000+6 2.294030-1 1.500000+6 2.719000-1 1.875000+6 4.182390-1 2.000000+6 4.730000-1 2.375000+6 6.537780-1 2.500000+6 7.192000-1 2.875000+6 9.288020-1 3.000000+6 1.002700+0 3.437500+6 1.274070+0 3.812500+6 1.520940+0 4.000000+6 1.648900+0 4.500000+6 2.000920+0 4.875000+6 2.270520+0 5.000000+6 2.360500+0 5.468700+6 2.695670+0 6.015600+6 3.082210+0 6.500000+6 3.420600+0 6.753900+6 3.596210+0 7.000000+6 3.766000+0 7.875000+6 4.361740+0 9.000000+6 5.109600+0 1.000000+7 5.758900+0 1.250000+7 7.409600+0 1.500000+7 9.100300+0 1.750000+7 1.074100+1 2.000000+7 1.236000+1 2.250000+7 1.391540+1 2.500000+7 1.540800+1 2.875000+7 1.755360+1 3.000000+7 1.824500+1 3.500000+7 2.088250+1 4.000000+7 2.333100+1 4.500000+7 2.560670+1 4.750000+7 2.669660+1 5.000000+7 2.776300+1 5.750000+7 3.085470+1 6.000000+7 3.185700+1 6.750000+7 3.476980+1 7.000000+7 3.571500+1 8.000000+7 3.933000+1 9.000000+7 4.269000+1 1.000000+8 4.577200+1 1.125000+8 4.918750+1 1.218800+8 5.145580+1 1.250000+8 5.215800+1 1.359400+8 5.442980+1 1.437500+8 5.591310+1 1.453100+8 5.619540+1 1.500000+8 5.703300+1 1.625000+8 5.913110+1 1.750000+8 6.107830+1 1.812500+8 6.199670+1 2.000000+8 6.458800+1 2.171900+8 6.676100+1 2.289100+8 6.816000+1 2.394500+8 6.935480+1 2.500000+8 7.050800+1 2.625000+8 7.180680+1 2.859400+8 7.406540+1 3.000000+8 7.530400+1 3.125000+8 7.632000+1 3.500000+8 7.898600+1 3.812500+8 8.085200+1 3.937500+8 8.151190+1 4.000000+8 8.183600+1 4.125000+8 8.243430+1 4.234400+8 8.293310+1 4.750000+8 8.495240+1 5.000000+8 8.578000+1 5.125000+8 8.615730+1 5.343800+8 8.678390+1 5.630900+8 8.753820+1 6.000000+8 8.841100+1 6.500000+8 8.944190+1 7.000000+8 9.034800+1 7.625000+8 9.131410+1 7.875000+8 9.165710+1 8.000000+8 9.182500+1 8.250000+8 9.212260+1 8.468800+8 9.237660+1 8.851600+8 9.277250+1 9.500000+8 9.334110+1 1.000000+9 9.371100+1 1.062500+9 9.409680+1 1.117200+9 9.437980+1 1.186000+9 9.467140+1 1.243500+9 9.488560+1 1.250000+9 9.490740+1 1.307700+9 9.508730+1 1.376400+9 9.527460+1 1.458800+9 9.546580+1 1.500000+9 9.555500+1 1.562500+9 9.566810+1 2.000000+9 9.627200+1 2.139200+9 9.639340+1 2.272600+9 9.648770+1 2.357800+9 9.653990+1 2.522900+9 9.663580+1 2.677700+9 9.670010+1 2.750000+9 9.672790+1 2.890900+9 9.677470+1 3.086500+9 9.682070+1 3.325700+9 9.687310+1 3.535000+9 9.690110+1 3.718100+9 9.691930+1 4.038600+9 9.694910+1 4.278900+9 9.696550+1 4.639500+9 9.697720+1 5.000000+9 9.698800+1 5.375000+9 9.698970+1 5.703100+9 9.699110+1 6.277300+9 9.699330+1 6.708000+9 9.699490+1 7.354000+9 9.699700+1 8.000000+9 9.699900+1 9.000000+9 9.699950+1 1.00000+10 9.700000+1 1.27030+10 9.700000+1 1.55700+10 9.700000+1 2.15420+10 9.700000+1 3.13500+10 9.700000+1 1.00000+11 9.700000+1 1.68570+11 9.700000+1 3.34410+11 9.700000+1 1.39060+12 9.700000+1 1.17920+13 9.700000+1 1.00000+14 9.700000+1 3.16230+15 9.700000+1 1.00000+17 9.700000+1 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.605102-6 0.0 1.609053-6 1.316140-6 1.613004-6 2.604277-6 1.616955-6 4.756926-6 1.620905-6 8.020830-6 1.624856-6 1.248436-5 1.628807-6 1.793770-5 1.632758-6 2.379148-5 1.636708-6 2.912929-5 1.640659-6 3.292246-5 1.644610-6 3.434857-5 1.648561-6 3.308102-5 1.652512-6 2.941055-5 1.656462-6 2.413689-5 1.664364-6 1.278791-5 1.668315-6 8.255428-6 1.672265-6 4.919644-6 1.676216-6 2.706337-6 1.680167-6 1.374308-6 1.684118-6 0.0 2.304586-6 0.0 2.310258-6 6.570093-7 2.315930-6 1.300040-6 2.321603-6 2.374630-6 2.327275-6 4.003952-6 2.332948-6 6.232118-6 2.338620-6 8.954397-6 2.344293-6 1.187657-5 2.349965-6 1.454117-5 2.355638-6 1.643470-5 2.361310-6 1.714660-5 2.366982-6 1.651385-5 2.372655-6 1.468157-5 2.378327-6 1.204899-5 2.389672-6 6.383649-6 2.395345-6 4.121061-6 2.401017-6 2.455858-6 2.406690-6 1.350987-6 2.412362-6 6.860464-7 2.418034-6 0.0 2.531286-6 0.0 2.540631-6 3.398655+0 2.543746-6 4.517169+0 2.549977-6 8.250979+0 2.556207-6 1.391228+1 2.563217-6 2.283423+1 2.574132-6 4.001479+1 2.581519-6 5.093561+1 2.587931-6 5.733125+1 2.594018-6 5.942774+1 2.600829-6 5.635127+1 2.607330-6 4.913863+1 2.617745-6 3.296844+1 2.624742-6 2.218087+1 2.630973-6 1.431920+1 2.637203-6 8.533217+0 2.643434-6 4.694193+0 2.651222-6 1.788873+0 2.655894-6 0.0 2.826968-6 0.0 2.833926-6 2.428634-6 2.840884-6 4.805597-6 2.847842-6 8.777816-6 2.854801-6 1.480060-5 2.861759-6 2.303702-5 2.868717-6 3.309992-5 2.875675-6 4.390172-5 2.882634-6 5.375143-5 2.889592-6 6.075086-5 2.896550-6 6.338241-5 2.903508-6 6.104344-5 2.910466-6 5.427042-5 2.920904-6 3.914713-5 2.931341-6 2.359715-5 2.938299-6 1.523350-5 2.945258-6 9.078076-6 2.952216-6 4.993924-6 2.957075-6 3.278532-6 2.971632-6 8.910379+0 2.978911-6 1.627554+1 2.986189-6 2.744279+1 2.994377-6 4.504184+1 3.007129-6 7.893150+1 3.015758-6 1.004735+2 3.023760-6 1.134305+2 3.030863-6 1.169251+2 3.038220-6 1.113229+2 3.045725-6 9.739065+1 3.057183-6 6.749921+1 3.066252-6 4.375306+1 3.073531-6 2.824545+1 3.080809-6 1.683227+1 3.088088-6 9.259568+0 3.099005-6 2.353820+0 3.102645-6 0.0 3.595316-6 0.0 3.604165-6 6.79327-15 3.613015-6 1.34420-14 3.621864-6 2.45529-14 3.630714-6 4.13996-14 3.639563-6 6.44382-14 3.648412-6 9.25857-14 3.657262-6 1.22800-13 3.666111-6 1.50351-13 3.674961-6 1.69930-13 3.683810-6 1.77291-13 3.692659-6 1.70748-13 3.696000-6 1.63596-13 3.696150-6 1.541652-7 3.697497-6 1.940540-7 3.698832-6 2.431009-7 3.700156-6 3.031684-7 3.701902-6 4.042381-7 3.703629-6 5.350808-7 3.705194-6 6.877577-7 3.706883-6 8.986039-7 3.708552-6 1.166492-6 3.710201-6 1.504765-6 3.711832-6 1.929361-6 3.713443-6 2.459200-6 3.715035-6 3.116608-6 3.716609-6 3.927777-6 3.718165-6 4.923260-6 3.719702-6 6.138495-6 3.721724-6 8.172171-6 3.723715-6 1.078377-5 3.725675-6 1.410883-5 3.727365-6 1.772854-5 3.729503-6 2.356587-5 3.731605-6 3.102034-5 3.733670-6 4.045008-5 3.735699-6 5.226996-5 3.737693-6 6.695596-5 3.739651-6 8.504903-5 3.741576-6 1.071583-4 3.743467-6 1.339637-4 3.745756-6 1.746699-4 3.748154-6 2.292467-4 3.750518-6 2.980148-4 3.752826-6 3.829319-4 3.755082-6 4.866261-4 3.757285-6 6.119111-4 3.760143-6 8.177004-4 3.762228-6 1.005138-3 3.765266-6 1.347176-3 3.768199-6 1.772004-3 3.771031-6 2.290415-3 3.773764-6 2.912720-3 3.776402-6 3.648430-3 3.779786-6 4.822679-3 3.783013-6 6.230499-3 3.786093-6 7.883211-3 3.789030-6 9.786745-3 3.793186-6 1.311186-2 3.797058-6 1.698078-2 3.801061-6 2.187652-2 3.805473-6 2.846085-2 3.810121-6 3.688192-2 3.814842-6 4.711370-2 3.820940-6 6.293748-2 3.828889-6 8.789085-2 3.837514-6 1.197742-1 3.867566-6 2.425099-1 3.881094-6 2.864412-1 3.896818-6 3.208453-1 3.915628-6 3.421754-1 3.949549-6 3.547178-1 4.171875-6 3.836192-1 4.192412-6 5.304848-1 4.202680-6 6.511012-1 4.213591-6 8.488825-1 4.225062-6 1.136652+0 4.254966-6 2.028582+0 4.266400-6 2.237297+0 4.275503-6 2.294827+0 4.286937-6 2.190564+0 4.297825-6 1.952371+0 4.303848-6 1.797805+0 4.325112-6 2.057290+0 4.335734-6 2.549626+0 4.346761-6 3.540644+0 4.357661-6 5.025073+0 4.389298-6 1.046185+1 4.400552-6 1.169947+1 4.410332-6 1.206496+1 4.420614-6 1.159622+1 4.432231-6 1.012811+1 4.462322-6 4.770462+0 4.472914-6 3.228704+0 4.483507-6 2.094397+0 4.494099-6 1.342372+0 4.515284-6 4.252640-1 4.549205-6 4.432487-1 4.585067-6 4.932651-1 4.640000-6 5.908485-1 4.685010-6 6.246043-1 4.750014-6 6.396347-1 4.779243-6 6.912889-1 4.802243-6 7.762848-1 4.807704-6 8.035316-1 4.832586-6 1.264478+0 4.845648-6 1.620784+0 4.857492-6 2.049182+0 4.882898-6 3.222475+0 4.903112-6 4.146747+0 4.916333-6 4.480314+0 4.926780-6 4.540124+0 4.940000-6 4.281883+0 4.952966-6 3.754168+0 4.985208-6 2.068683+0 4.997041-6 1.579631+0 5.008875-6 1.220273+0 5.020708-6 9.825131-1 5.044376-6 7.048719-1 5.052558-6 7.124336-1 5.077430-6 8.779809-1 5.091421-6 1.035150+0 5.103857-6 1.234447+0 5.118501-6 1.543130+0 5.152048-6 2.322409+0 5.166718-6 2.509748+0 5.179278-6 2.535043+0 5.194435-6 2.394020+0 5.210029-6 2.135700+0 5.228368-6 1.777899+0 5.242442-6 1.585252+0 5.252315-6 1.511546+0 5.266216-6 1.506379+0 5.279693-6 1.583128+0 5.298851-6 1.730145+0 5.321536-6 1.866111+0 5.342396-6 1.861917+0 5.359581-6 1.818158+0 5.386789-6 3.263064+0 5.399981-6 4.475994+0 5.413247-6 6.331633+0 5.427927-6 9.161525+0 5.466825-6 1.799788+1 5.482813-6 2.006051+1 5.494757-6 2.041302+1 5.508106-6 1.936209+1 5.524655-6 1.635453+1 5.559199-6 8.356545+0 5.571797-6 6.005031+0 5.584637-6 4.216541+0 5.597611-6 2.991418+0 5.623419-6 1.422026+0 5.686633-6 1.033921+0 5.713503-6 9.094927-1 5.736539-6 8.488953-1 5.779612-6 8.130846-1 6.157338-6 8.747977-1 6.191414-6 9.143838-1 6.217831-6 9.884254-1 6.244949-6 1.121421+0 6.319418-6 1.622641+0 6.358808-6 1.774313+0 6.423065-6 1.831744+0 6.442549-6 1.840862+0 6.475006-6 3.092723+0 6.490863-6 4.117495+0 6.506720-6 5.658386+0 6.524435-6 8.042210+0 6.569652-6 1.533098+1 6.587846-6 1.714416+1 6.602551-6 1.762143+1 6.618183-6 1.693959+1 6.635433-6 1.495853+1 6.680155-6 7.705266+0 6.696011-6 5.607674+0 6.711868-6 4.063576+0 6.727725-6 3.038334+0 6.759439-6 1.782932+0 6.831228-6 1.771827+0 6.864856-6 1.890457+0 6.891005-6 2.076660+0 6.916310-6 2.367348+0 6.970658-6 3.198948+0 6.985026-6 3.366351+0 7.001528-6 3.454548+0 7.023013-6 3.418134+0 7.094800-6 2.988099+0 7.136110-6 2.858937+0 7.167512-6 2.608996+0 7.238966-6 1.963062+0 7.273251-6 1.796685+0 7.307537-6 1.713917+0 7.353756-6 1.726698+0 7.393988-6 1.786612+0 7.441955-6 1.975994+0 7.502384-6 2.255661+0 7.520450-6 2.278436+0 7.556582-6 2.191439+0 7.628846-6 1.853555+0 7.664978-6 1.805465+0 7.709472-6 1.859550+0 7.771900-6 1.976664+0 7.886763-6 1.906921+0 8.147740-6 1.868070+0 8.355419-6 1.654477+0 8.387863-6 1.642970+0 8.449800-6 1.747809+0 8.493667-6 1.950881+0 8.555026-6 2.361294+0 8.575479-6 2.458319+0 8.595932-6 2.500022+0 8.626612-6 2.436592+0 8.685652-6 2.076936+0 8.718650-6 1.870546+0 8.759485-6 1.713766+0 8.812733-6 1.628266+0 8.925637-6 1.617787+0 9.013514-6 1.689645+0 9.123361-6 1.926853+0 9.167299-6 1.931557+0 9.277146-6 1.735076+0 9.345122-6 1.741901+0 9.432325-6 1.793654+0 9.761171-6 1.751174+0 1.002682-5 1.599159+0 1.266720-5 1.539717+0 1.286362-5 1.645152+0 1.300655-5 1.713582+0 1.440523-5 1.685851+0 1.475248-5 1.783872+0 1.920544-5 1.628678+0 2.090983-5 1.623070+0 2.101276-5 3.812779+0 2.106423-5 5.622453+0 2.111570-5 8.366039+0 2.116717-5 1.211805+1 2.132157-5 2.610951+1 2.137947-5 2.944795+1 2.143227-5 3.033745+1 2.148502-5 3.748285+1 2.153778-5 4.246021+1 2.159053-5 5.186046+1 2.164658-5 6.973629+1 2.170095-5 9.589595+1 2.185759-5 1.951324+2 2.191559-5 2.186483+2 2.196696-5 2.244386+2 2.202575-5 2.114571+2 2.207972-5 1.840585+2 2.222356-5 8.520591+1 2.227632-5 5.580935+1 2.232907-5 3.426667+1 2.238182-5 2.018169+1 2.248733-5 3.712637+0 2.263771-5 5.985734+0 2.269236-5 6.550185+0 2.274700-5 6.764334+0 2.280164-5 6.579218+0 2.285629-5 6.038693+0 2.290385-5 5.409016+0 2.301660-5 5.426785+0 2.307486-5 6.231086+0 2.312951-5 7.868520+0 2.319957-5 1.142583+1 2.336174-5 2.170842+1 2.342503-5 2.433130+1 2.348129-5 2.531901+1 2.353883-5 2.460369+1 2.362499-5 2.140929+1 2.371612-5 1.738218+1 2.377072-5 1.555875+1 2.383177-5 1.446818+1 2.389283-5 1.416231+1 2.411737-5 1.471288+1 2.414195-5 1.480499+1 2.426610-5 1.429815+1 2.442130-5 1.302086+1 2.454774-5 1.107933+1 2.473132-5 7.306235+0 2.482842-5 5.187146+0 2.489221-5 4.122102+0 2.494855-5 3.344070+0 2.497767-5 3.023055+0 2.501287-5 2.713699+0 2.505449-5 2.415566+0 2.511575-5 2.131002+0 2.518284-5 1.958565+0 2.526376-5 1.869742+0 2.622709-5 1.955318+0 2.688406-5 2.058416+0 2.702283-5 2.164031+0 2.712194-5 2.361205+0 2.721068-5 2.698769+0 2.729133-5 3.183878+0 2.739139-5 4.032822+0 2.763522-5 6.561526+0 2.775810-5 7.494911+0 2.789644-5 8.054885+0 2.813759-5 8.250938+0 3.080000-5 7.499989+0 3.353352-5 7.316341+0 3.369859-5 1.673289+1 3.378629-5 2.525196+1 3.386883-5 3.732210+1 3.395536-5 5.469848+1 3.419898-5 1.134822+2 3.428972-5 1.271749+2 3.437051-5 1.308574+2 3.444902-5 1.257078+2 3.453488-5 1.110685+2 3.477507-5 5.290617+1 3.485921-5 3.649731+1 3.493667-5 2.522955+1 3.501921-5 1.728961+1 3.518428-5 7.727188+0 3.550669-5 8.560019+0 3.575006-5 9.778106+0 3.592605-5 1.128449+1 3.619569-5 1.474185+1 3.634605-5 1.601133+1 3.648485-5 1.615990+1 3.692698-5 1.439909+1 3.730848-5 1.324300+1 3.751177-5 1.197842+1 3.779795-5 9.753280+0 3.804130-5 8.469495+0 3.821560-5 8.042911+0 3.854339-5 7.878054+0 4.023673-5 8.275683+0 4.058438-5 8.718224+0 4.087674-5 9.697088+0 4.128831-5 1.143196+1 4.161117-5 1.212824+1 4.310463-5 1.249812+1 4.933110-5 1.373829+1 5.561043-5 1.564191+1 5.660381-5 1.664101+1 5.771687-5 1.647258+1 6.210681-5 1.752824+1 6.513267-5 1.868487+1 7.265511-5 2.021348+1 8.052910-5 2.078495+1 9.090213-5 2.000295+1 1.030683-4 1.747098+1 1.120256-4 1.496429+1 1.128528-4 1.596391+1 1.134043-4 1.782382+1 1.136301-4 1.892720+1 1.141895-4 3.536338+1 1.144692-4 4.760987+1 1.147489-4 6.506227+1 1.150932-4 9.456803+1 1.158423-4 1.682217+2 1.162063-4 1.905400+2 1.164573-4 1.946388+2 1.167385-4 1.856165+2 1.170387-4 1.627771+2 1.178254-4 8.012184+1 1.181051-4 5.633840+1 1.183848-4 3.881298+1 1.186645-4 2.715748+1 1.192239-4 1.285969+1 1.207045-4 1.296339+1 1.221165-4 1.352206+1 1.236645-4 1.283756+1 1.238750-4 1.269196+1 1.244850-4 2.188045+1 1.248154-4 3.060859+1 1.251360-4 4.368571+1 1.254698-4 6.238786+1 1.263532-4 1.205525+2 1.266885-4 1.339074+2 1.270008-4 1.367001+2 1.272993-4 1.299512+2 1.276829-4 1.097124+2 1.284534-4 5.745879+1 1.287534-4 4.089897+1 1.290583-4 2.853133+1 1.293632-4 2.035698+1 1.299730-4 1.048144+1 1.324450-4 1.181038+1 1.338228-4 1.262489+1 1.354143-4 1.239449+1 1.387926-4 1.144083+1 1.415042-4 1.151702+1 1.438875-4 1.209982+1 1.518000-4 1.190143+1 1.579919-4 1.097443+1 1.744455-4 7.628846+0 1.846078-4 5.989224+0 1.947547-4 4.726094+0 2.032237-4 3.928608+0 2.120202-4 3.305959+0 2.213095-4 2.827969+0 2.310995-4 2.484063+0 2.360950-4 2.405066+0 2.374498-4 2.482706+0 2.389719-4 2.716139+0 2.405600-4 2.985596+0 2.416593-4 3.018234+0 2.430291-4 2.819550+0 2.450504-4 2.430359+0 2.459362-4 2.373520+0 2.470658-4 2.433402+0 2.505812-4 3.049452+0 2.523238-4 3.188116+0 2.772746-4 3.136584+0 3.055556-4 3.281301+0 3.127823-4 3.362345+0 3.158966-4 3.571653+0 3.199328-4 4.265256+0 3.214080-4 4.333030+0 3.233370-4 4.123021+0 3.258428-4 3.780076+0 3.281841-4 3.734243+0 3.330766-4 4.057059+0 3.513348-4 4.251597+0 3.868172-4 4.558752+0 3.940974-4 4.782552+0 4.008423-4 4.804466+0 4.093269-4 4.972743+0 4.907576-4 5.517191+0 4.959542-4 5.741581+0 5.020265-4 6.327909+0 5.043307-4 6.356052+0 5.099920-4 6.117171+0 5.140383-4 6.428162+0 5.184561-4 6.824556+0 5.281587-4 6.472902+0 5.465000-4 7.044819+0 5.553750-4 7.731092+0 5.623413-4 8.658942+0 5.691330-4 9.976624+0 5.778069-4 1.228394+1 5.872486-4 1.553244+1 6.217485-4 2.975743+1 6.400000-4 3.558363+1 6.606934-4 3.992264+1 6.835000-4 4.259751+1 7.268285-4 4.447933+1 8.041845-4 4.399208+1 8.631123-4 4.258418+1 8.716084-4 4.463596+1 8.819707-4 5.082737+1 8.861567-4 5.076866+1 8.969869-4 4.443025+1 9.052696-4 4.330078+1 9.268608-4 4.612982+1 9.385283-4 4.990062+1 9.455621-4 4.913977+1 9.569968-4 4.632113+1 1.160710-3 4.128526+1 1.210377-3 4.016043+1 1.242077-3 4.115339+1 1.523289-3 3.418845+1 1.729407-3 3.060363+1 2.103064-3 2.480718+1 2.472643-3 2.049219+1 2.922680-3 1.668820+1 3.469864-3 1.340301+1 4.019964-3 1.105219+1 4.039492-3 1.156710+1 4.049665-3 1.205876+1 4.059542-3 1.283721+1 4.070226-3 1.408858+1 4.093372-3 1.802517+1 4.118910-3 2.265722+1 4.138699-3 2.457721+1 4.168694-3 2.479437+1 4.231819-3 2.385165+1 4.279578-3 2.435455+1 4.299221-3 2.550308+1 4.350723-3 3.093896+1 4.383889-3 3.225268+1 4.877808-3 2.733369+1 4.937541-3 2.823164+1 5.005656-3 2.999201+1 5.180037-3 2.897170+1 6.001015-3 2.313287+1 6.121742-3 2.301595+1 6.247766-3 2.306442+1 6.471737-3 2.209531+1 6.670687-3 2.184454+1 7.645369-3 1.791906+1 8.710207-3 1.477280+1 9.830400-3 1.231002+1 1.144231-2 9.770637+0 1.306644-2 7.969779+0 1.469561-2 6.636098+0 1.684380-2 5.361758+0 1.899788-2 4.446811+0 1.913831-2 4.549177+0 1.922926-2 4.870689+0 1.930516-2 5.419699+0 1.940727-2 6.574884+0 1.954747-2 8.320557+0 1.963373-2 9.061425+0 1.976221-2 9.541288+0 2.022290-2 9.356405+0 2.305900-2 7.506192+0 2.401875-2 7.030799+0 2.423133-2 7.205309+0 2.441076-2 7.842767+0 2.465182-2 8.948633+0 2.485991-2 9.357840+0 2.522594-2 9.758012+0 2.559394-2 1.029659+1 3.072898-2 7.887157+0 3.467369-2 6.544313+0 3.963921-2 5.297004+0 4.435707-2 4.424300+0 5.100653-2 3.530291+0 5.781226-2 2.879064+0 6.552715-2 2.341690+0 7.425759-2 1.904073+0 8.408277-2 1.547623+0 9.521235-2 1.257774+0 1.080061-1 1.018347+0 1.225165-1 8.246763-1 1.292369-1 7.613967-1 1.299052-1 7.872152-1 1.303450-1 8.426458-1 1.307255-1 9.352124-1 1.311071-1 1.084004+0 1.314836-1 1.289424+0 1.322752-1 1.855265+0 1.330426-1 2.377428+0 1.336406-1 2.639104+0 1.344602-1 2.787634+0 1.373801-1 2.753970+0 1.587831-1 2.212535+0 1.830776-1 1.779439+0 2.076428-1 1.468856+0 2.360176-1 1.209684+0 2.683125-1 9.977398-1 3.056824-1 8.238951-1 3.495237-1 6.802235-1 3.981072-1 5.673118-1 4.577464-1 4.703121-1 5.256511-1 3.936500-1 6.042964-1 3.317412-1 6.938251-1 2.823301-1 7.943282-1 2.428992-1 9.128416-1 2.097380-1 1.120601+0 1.685887-1 1.286622+0 1.438007-1 1.477239+0 1.226574-1 1.696098+0 1.046228-1 1.956757+0 8.876914-2 2.341267+0 7.218866-2 2.688134+0 6.157459-2 3.086391+0 5.252114-2 3.543651+0 4.479883-2 4.068655+0 3.821196-2 4.671441+0 3.259357-2 5.363532+0 2.780126-2 6.158159+0 2.371358-2 7.070513+0 2.022691-2 8.173860+0 1.712293-2 9.760024+0 1.395636-2 1.000000+1 2.924581-2 1 97000 7 0 2.470000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-9.665200+1 2.157891-6-9.348167+1 2.412362-6-8.892899+1 2.488842-6-8.380795+1 2.520348-6-7.806818+1 2.532405-6-7.255831+1 2.558349-6-5.857567+1 2.564580-6-5.721947+1 2.571832-6-5.922947+1 2.578501-6-6.537637+1 2.587360-6-7.991402+1 2.594018-6-9.381425+1 2.600481-6-8.734024+1 2.609032-6-7.361736+1 2.615445-6-6.760374+1 2.623428-6-6.544344+1 2.631751-6-6.811920+1 2.664075-6-8.559238+1 2.699352-6-9.280097+1 2.739760-6-9.687549+1 2.868717-6-8.718147+1 2.917425-6-7.932131+1 2.943518-6-7.069747+1 2.954342-6-6.403749+1 2.963253-6-5.532023+1 2.971632-6-4.806414+1 2.979821-6-3.969236+1 2.988691-6-3.228030+1 2.994377-6-2.983350+1 2.997164-6-2.981910+1 3.001656-6-3.146923+1 3.004442-6-3.376434+1 3.008025-6-3.845670+1 3.013000-6-4.760018+1 3.020023-6-6.635309+1 3.029275-6-9.691464+1 3.033519-6-8.132982+1 3.039672-6-6.042980+1 3.046471-6-4.179125+1 3.051695-6-3.177936+1 3.055391-6-2.673422+1 3.058078-6-2.438141+1 3.062158-6-2.259115+1 3.065229-6-2.234929+1 3.071711-6-2.497787+1 3.080013-6-3.195166+1 3.090590-6-4.269863+1 3.102190-6-5.266710+1 3.106962-6-5.754332+1 3.118304-6-6.396774+1 3.143787-6-7.192988+1 3.194076-6-7.942539+1 3.298437-6-8.574643+1 3.564113-6-9.099001+1 4.323342-6-9.699899+1 4.372881-6-9.499614+1 4.397296-6-9.703585+1 4.442328-6-8.811509+1 4.481520-6-8.838155+1 4.573013-6-9.285491+1 4.897649-6-9.658000+1 4.985208-6-9.324932+1 5.161763-6-9.648570+1 5.279693-6-9.746646+1 5.363851-6-9.471242+1 5.435000-6-9.022829+1 5.466825-6-9.442906+1 5.481377-6-9.713670+1 5.524655-6-8.499929+1 5.557322-6-8.234399+1 5.665312-6-8.938030+1 5.939842-6-9.345000+1 6.430975-6-9.728460+1 6.533784-6-9.212339+1 6.577332-6-9.649110+1 6.586978-6-9.699490+1 6.644782-6-8.599989+1 6.688083-6-8.458431+1 6.816735-6-9.078896+1 6.985026-6-9.259919+1 7.323664-6-9.248145+1 8.655156-6-9.322798+1 1.500175-5-9.651925+1 1.841572-5-9.057132+1 1.967552-5-8.396422+1 2.030564-5-7.656456+1 2.063867-5-6.925561+1 2.084414-5-6.160319+1 2.101276-5-5.060410+1 2.118552-5-3.675307+1 2.128108-5-3.176601+1 2.139072-5-2.807601+1 2.142450-5-2.498518+1 2.143227-5-2.356517+1 2.144175-5-2.170402+1 2.146880-5-1.836266+1 2.149821-5-1.569146+1 2.151800-5-1.326896+1 2.153283-5-1.092362+1 2.154437-5-8.471480+0 2.156745-5-4.387084+0 2.157899-5-2.205127+0 2.158476-5-9.669283-1 2.159053-5 5.981043-1 2.164328-5 1.160089+1 2.164658-5 1.254570+1 2.165276-5 1.379260+1 2.170095-5 2.025422+1 2.171016-5 2.080930+1 2.171823-5 2.083395+1 2.173234-5 2.013048+1 2.174292-5 1.907247+1 2.175879-5 1.672169+1 2.177466-5 1.355141+1 2.178462-5 1.111016+1 2.179333-5 8.605902+0 2.180095-5 6.150035+0 2.181428-5 1.234337+0 2.182429-5-3.012823+0 2.183179-5-6.555717+0 2.183741-5-9.444854+0 2.184585-5-1.424224+1 2.185218-5-1.839594+1 2.185759-5-2.262316+1 2.189314-5-4.748517+1 2.190607-5-5.851158+1 2.192111-5-7.233301+1 2.195171-5-9.832713+1 2.196696-5-8.226855+1 2.202260-5-3.498467+1 2.203166-5-2.729104+1 2.204587-5-1.690407+1 2.206622-5-3.264920+0 2.206961-5-9.419607-1 2.207529-5 3.379628+0 2.207972-5 6.282962+0 2.208802-5 1.107021+1 2.209529-5 1.480859+1 2.210801-5 2.059257+1 2.211755-5 2.439773+1 2.213186-5 2.936130+1 2.215585-5 3.592057+1 2.217912-5 4.006162+1 2.219857-5 4.180843+1 2.221731-5 4.168849+1 2.226313-5 3.583240+1 2.227632-5 3.281147+1 2.232330-5 2.163716+1 2.232907-5 1.970758+1 2.238182-5 5.096078+0 2.238842-5 3.011388+0 2.240078-5-1.719401-1 2.242242-5-5.137409+0 2.245487-5-1.236378+1 2.247110-5-1.630236+1 2.248327-5-1.978024+1 2.249366-5-2.359414+1 2.250942-5-2.764245+1 2.254719-5-3.480574+1 2.260227-5-4.233093+1 2.269236-5-5.053257+1 2.319957-5-8.042907+1 2.332616-5-8.171885+1 2.346810-5-7.571128+1 2.359709-5-6.932388+1 2.371612-5-6.820100+1 2.396354-5-7.256078+1 2.414195-5-7.289434+1 2.468921-5-7.029507+1 2.501287-5-7.453640+1 2.557903-5-8.132227+1 2.761631-5-9.387886+1 2.865771-5-9.173131+1 3.127412-5-9.653690+1 3.194623-5-9.830209+1 3.280690-5-9.052175+1 3.322091-5-8.224159+1 3.342610-5-7.436572+1 3.352927-5-6.707921+1 3.361605-5-5.941771+1 3.369859-5-5.264950+1 3.380563-5-4.252895+1 3.389543-5-3.569714+1 3.395536-5-3.311515+1 3.400067-5-3.339917+1 3.405383-5-3.641385+1 3.409262-5-4.033510+1 3.415113-5-4.887102+1 3.419382-5-5.805438+1 3.427024-5-7.850915+1 3.433498-5-9.863211+1 3.439053-5-7.947109+1 3.446658-5-5.541986+1 3.453488-5-3.741090+1 3.456015-5-3.210155+1 3.459628-5-2.610735+1 3.464273-5-2.029838+1 3.467374-5-1.747290+1 3.469907-5-1.582942+1 3.473232-5-1.457243+1 3.475369-5-1.437880+1 3.476438-5-1.452092+1 3.483817-5-1.774297+1 3.485921-5-1.937624+1 3.492820-5-2.508255+1 3.504887-5-3.679776+1 3.518005-5-4.776256+1 3.523392-5-5.300181+1 3.536011-5-6.003737+1 3.557370-5-6.753175+1 3.595356-5-7.540715+1 3.626106-5-7.694282+1 3.683316-5-7.497118+1 3.779795-5-7.541522+1 3.902806-5-8.159500+1 4.118221-5-8.734926+1 4.390883-5-8.580609+1 5.688529-5-8.564603+1 7.520557-5-8.119708+1 9.282122-5-7.754333+1 9.947094-5-7.862306+1 1.056408-4-7.066394+1 1.086770-4-6.347274+1 1.102927-4-5.705268+1 1.114542-4-4.974909+1 1.120256-4-4.435923+1 1.125771-4-3.739630+1 1.130596-4-2.911611+1 1.133354-4-2.289786+1 1.134659-4-1.924541+1 1.135878-4-1.505673+1 1.136301-4-1.297863+1 1.136505-4-1.185919+1 1.136887-4-1.024079+1 1.137554-4-7.839940+0 1.138556-4-4.680448+0 1.140727-4 1.639471+0 1.141311-4 3.499872+0 1.141603-4 4.520841+0 1.141895-4 5.732014+0 1.144692-4 1.546097+1 1.145042-4 1.688208+1 1.147876-4 2.510462+1 1.148554-4 2.635716+1 1.150932-4 2.835608+1 1.152144-4 2.716495+1 1.153072-4 2.500277+1 1.153829-4 2.252440+1 1.154824-4 1.828058+1 1.155463-4 1.489776+1 1.156102-4 1.079865+1 1.156791-4 5.859023+0 1.157308-4 1.957901+0 1.157696-4-1.181983+0 1.157987-4-3.688233+0 1.158423-4-7.765570+0 1.158750-4-1.121969+1 1.159032-4-1.468778+1 1.160890-4-3.523376+1 1.161583-4-4.447527+1 1.162352-4-5.535829+1 1.163908-4-7.541399+1 1.164573-4-6.483762+1 1.167218-4-2.918959+1 1.167698-4-2.280395+1 1.168451-4-1.414240+1 1.169529-4-2.732177+0 1.169709-4-7.913509-1 1.170062-4 3.363399+0 1.170387-4 6.600392+0 1.170955-4 1.157774+1 1.171382-4 1.493176+1 1.172661-4 2.382153+1 1.173622-4 2.918553+1 1.174769-4 3.354341+1 1.176157-4 3.611762+1 1.177468-4 3.694375+1 1.178254-4 3.608390+1 1.180352-4 3.213270+1 1.183542-4 2.077106+1 1.183848-4 1.923250+1 1.186645-4 7.537807+0 1.186887-4 6.339517+0 1.187340-4 4.481732+0 1.188133-4 1.579039+0 1.190512-4-6.563700+0 1.191376-4-9.780504+0 1.192023-4-1.263016+1 1.192367-4-1.470532+1 1.193082-4-1.787043+1 1.194738-4-2.329823+1 1.197064-4-2.915426+1 1.201462-4-3.756293+1 1.207045-4-4.563245+1 1.218217-4-5.772024+1 1.230294-4-7.037258+1 1.233967-4-7.553497+1 1.238359-4-6.667231+1 1.240230-4-6.105080+1 1.244850-4-4.989408+1 1.248524-4-3.954604+1 1.251715-4-3.203019+1 1.254426-4-2.893753+1 1.255750-4-2.865580+1 1.257409-4-3.044496+1 1.259342-4-3.486013+1 1.261201-4-4.162285+1 1.262519-4-4.840344+1 1.266303-4-7.599332+1 1.267747-4-6.285989+1 1.269629-4-4.642261+1 1.270342-4-3.930900+1 1.272574-4-2.055219+1 1.272993-4-1.642214+1 1.273711-4-1.083030+1 1.274297-4-6.760017+0 1.276063-4 4.742738+0 1.276318-4 6.490885+0 1.276829-4 9.378926+0 1.277756-4 1.374279+1 1.278606-4 1.703946+1 1.279977-4 2.121097+1 1.281542-4 2.441166+1 1.282821-4 2.581253+1 1.284069-4 2.592068+1 1.286772-4 2.263690+1 1.290250-4 1.459484+1 1.290583-4 1.350495+1 1.293632-4 5.228240+0 1.294182-4 3.599472+0 1.295145-4 1.270259+0 1.298034-4-5.124214+0 1.298882-4-7.186713+0 1.299518-4-9.016802+0 1.300078-4-1.106725+1 1.301123-4-1.371251+1 1.303174-4-1.761223+1 1.306502-4-2.233639+1 1.312101-4-2.796253+1 1.318291-4-3.239527+1 1.327767-4-3.701854+1 1.341683-4-4.079257+1 1.387926-4-4.782131+1 1.432411-4-5.177703+1 1.555000-4-5.375936+1 2.180000-4-6.044936+1 2.422650-4-6.276436+1 2.545000-4-6.365512+1 3.513348-4-6.736576+1 4.705577-4-7.275809+1 5.363265-4-8.014763+1 5.955240-4-9.311934+1 6.217485-4-9.217450+1 7.124467-4-7.291521+1 7.864320-4-6.276545+1 8.631123-4-5.699508+1 9.095597-4-5.691101+1 9.455621-4-5.355005+1 9.697411-4-5.124874+1 1.015401-3-4.681255+1 1.123898-3-4.052735+1 1.210377-3-3.791162+1 1.242077-3-3.776082+1 1.275949-3-3.526159+1 1.372461-3-3.162445+1 1.523289-3-2.826985+1 1.685590-3-2.575368+1 1.906293-3-2.316620+1 2.220000-3-2.128303+1 2.606720-3-2.058202+1 3.073974-3-2.118988+1 3.469864-3-2.300326+1 3.743186-3-2.549952+1 3.908724-3-2.825667+1 4.009380-3-3.130864+1 4.059542-3-3.425786+1 4.118910-3-3.965929+1 4.148030-3-3.987168+1 4.218529-3-3.473897+1 4.264379-3-3.344659+1 4.312087-3-3.405658+1 4.361809-3-3.502205+1 4.396528-3-3.337006+1 4.455335-3-2.895712+1 4.519088-3-2.606840+1 4.629636-3-2.320909+1 4.776350-3-2.118433+1 4.877808-3-2.093167+1 4.952455-3-2.166025+1 4.989156-3-2.116478+1 5.077779-3-1.833539+1 5.180037-3-1.640013+1 5.354569-3-1.431265+1 5.615181-3-1.231883+1 5.867692-3-1.115991+1 6.041607-3-1.091187+1 6.146551-3-1.107212+1 6.330603-3-9.836456+0 6.537524-3-9.381853+0 6.726862-3-8.207328+0 7.040428-3-7.117956+0 7.507716-3-6.097060+0 7.993418-3-5.409542+0 8.710207-3-4.783898+0 9.479598-3-4.450172+0 1.052416-2-4.292793+0 1.196224-2-4.392598+0 1.416900-2-4.940588+0 1.584893-2-5.630854+0 1.725794-2-6.509321+0 1.814471-2-7.412330+0 1.869560-2-8.374499+0 1.899788-2-9.337282+0 1.920619-2-1.063726+1 1.936802-2-1.184080+1 1.947483-2-1.207366+1 1.960288-2-1.145616+1 1.982397-2-9.701757+0 2.002498-2-8.702006+0 2.036266-2-7.785001+0 2.089507-2-6.978591+0 2.162719-2-6.404952+0 2.252975-2-6.152903+0 2.330053-2-6.296747+0 2.380889-2-6.703572+0 2.410806-2-7.295379+0 2.441076-2-8.202241+0 2.458583-2-8.238478+0 2.492903-2-7.437707+0 2.531713-2-6.983449+0 2.582994-2-5.699139+0 2.623902-2-5.041373+0 2.698777-2-4.271736+0 2.795158-2-3.607804+0 2.917427-2-3.018437+0 3.023757-2-2.646826+0 3.198895-2-2.216954+0 3.382404-2-1.910061+0 3.646982-2-1.623336+0 3.860375-2-1.476268+0 4.183062-2-1.356367+0 4.621991-2-1.298105+0 5.100653-2-1.303904+0 6.291492-2-1.453739+0 9.919850-2-2.115812+0 1.120263-1-2.439791+0 1.205671-1-2.781340+0 1.254679-1-3.125142+0 1.282152-1-3.476304+0 1.297171-1-3.845061+0 1.316522-1-4.623777+0 1.322752-1-4.687856+0 1.332344-1-4.412827+0 1.347332-1-3.733825+0 1.360500-1-3.360309+0 1.382906-1-2.991053+0 1.420496-1-2.620048+0 1.483956-1-2.258628+0 1.553071-1-2.009922+0 1.659735-1-1.777128+0 1.782900-1-1.617972+0 1.991707-1-1.469617+0 2.263638-1-1.385074+0 2.793121-1-1.344714+0 7.294624-1-1.451572+0 2.235892+0-1.488777+0 6.755256+0-1.500348+0 1.000000+1-1.498775+0 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 6.598343-2 1.142105-6 1.211832-1 1.181234-6 1.419949-1 1.217917-6 1.643247-1 1.284549-6 2.130646-1 1.343112-6 2.663551-1 1.419490-6 3.548256-1 1.463075-6 4.165410-1 1.501211-6 4.787741-1 1.563780-6 6.007298-1 1.634038-6 7.750528-1 1.667571-6 8.743794-1 1.692720-6 9.578540-1 1.730445-6 1.098716+0 1.789929-6 1.363137+0 1.837803-6 1.626632+0 1.894077-6 2.011329+0 1.930514-6 2.310458+0 1.964674-6 2.636608+0 1.996699-6 2.990493+0 2.026722-6 3.372509+0 2.054869-6 3.782361+0 2.081256-6 4.219951+0 2.105995-6 4.686275+0 2.129187-6 5.181818+0 2.150930-6 5.706529+0 2.171313-6 6.260164+0 2.190423-6 6.842317+0 2.208339-6 7.452421+0 2.225134-6 8.089762+0 2.240880-6 8.753615+0 2.255642-6 9.443659+0 2.269481-6 1.015973+1 2.282456-6 1.090012+1 2.306783-6 1.249485+1 2.328068-6 1.415912+1 2.346694-6 1.588024+1 2.362991-6 1.764131+1 2.377251-6 1.942381+1 2.389728-6 2.120947+1 2.400646-6 2.298028+1 2.410199-6 2.471840+1 2.418558-6 2.640721+1 2.433186-6 2.981521+1 2.444157-6 3.283529+1 2.452385-6 3.542503+1 2.464728-6 3.996281+1 2.470899-6 4.259181+1 2.477070-6 4.551356+1 2.483167-6 4.873751+1 2.489264-6 5.235841+1 2.495361-6 5.645436+1 2.501458-6 6.112705+1 2.507555-6 6.651270+1 2.513652-6 7.279927+1 2.519749-6 8.025312+1 2.525846-6 8.925825+1 2.531943-6 1.003699+2 2.538040-6 1.143807+2 2.544137-6 1.323902+2 2.547185-6 1.433370+2 2.550234-6 1.558629+2 2.553282-6 1.702115+2 2.556331-6 1.866486+2 2.560000-6 2.096045+2 2.562428-6 2.269393+2 2.565476-6 2.513965+2 2.571573-6 3.104417+2 2.583647-6 4.740602+2 2.588861-6 5.655387+2 2.592040-6 6.272731+2 2.595218-6 6.931414+2 2.601574-6 8.350446+2 2.602369-6 8.535086+2 2.607931-6 9.850356+2 2.610116-6 1.036938+3 2.614287-6 1.134289+3 2.617515-6 1.206401+3 2.620644-6 1.272042+3 2.623872-6 1.333899+3 2.627000-6 1.386799+3 2.629781-6 1.426983+3 2.633022-6 1.464624+3 2.636734-6 1.494383+3 2.639912-6 1.507728+3 2.641019-6 1.509659+3 2.644176-6 1.507358+3 2.646506-6 1.498256+3 2.652721-6 1.444304+3 2.654704-6 1.418575+3 2.659367-6 1.343754+3 2.661825-6 1.297195+3 2.665140-6 1.227993+3 2.668367-6 1.154941+3 2.671496-6 1.080261+3 2.674277-6 1.011814+3 2.677182-6 9.392995+2 2.681031-6 8.433300+2 2.684209-6 7.655275+2 2.687785-6 6.809287+2 2.690566-6 6.180147+2 2.696922-6 4.860971+2 2.699107-6 4.450379+2 2.701193-6 4.080176+2 2.704868-6 3.480368+2 2.708443-6 2.960787+2 2.711601-6 2.553033+2 2.714942-6 2.171462+2 2.718248-6 1.841164+2 2.722598-6 1.472074+2 2.726881-6 1.173544+2 2.731098-6 9.339646+1 2.737299-6 6.625890+1 2.743357-6 4.709478+1 2.751230-6 3.004857+1 2.758875-6 1.934689+1 2.766282-6 1.257954+1 2.773460-6 8.253675+0 2.780416-6 5.478839+0 2.783812-6 4.498046+0 2.787155-6 3.725378+0 2.790446-6 3.126418+0 2.792066-6 2.884265+0 2.793673-6 2.675593+0 2.795268-6 2.497902+0 2.796850-6 2.348951+0 2.798420-6 2.226730+0 2.799977-6 2.129426+0 2.801135-6 2.071928+0 2.802667-6 2.014468+0 2.804192-6 1.977630+0 2.805704-6 1.960332+0 2.808705-6 1.980109+0 2.811660-6 2.066088+0 2.814568-6 2.211478+0 2.820293-6 2.662671+0 2.825840-6 3.295377+0 2.856736-6 1.013790+1 2.865552-6 1.322370+1 2.873816-6 1.668714+1 2.881564-6 2.051833+1 2.888828-6 2.470928+1 2.895637-6 2.925360+1 2.902022-6 3.414669+1 2.928433-6 6.379152+1 2.936831-6 7.808887+1 2.944450-6 9.438363+1 2.951117-6 1.122172+2 2.956950-6 1.315437+2 2.962054-6 1.522318+2 2.966520-6 1.740544+2 2.970428-6 1.967026+2 2.973848-6 2.198145+2 2.976840-6 2.430111+2 2.982076-6 2.916185+2 2.986002-6 3.361042+2 2.988948-6 3.748291+2 2.993366-6 4.429429+2 3.001473-6 6.058888+2 3.012541-6 9.302455+2 3.019158-6 1.193375+3 3.022798-6 1.362938+3 3.027371-6 1.601960+3 3.031088-6 1.817629+3 3.034804-6 2.052009+3 3.042238-6 2.571985+3 3.043167-6 2.641199+3 3.049671-6 3.145465+3 3.052226-6 3.350359+3 3.057104-6 3.745284+3 3.060879-6 4.048527+3 3.064537-6 4.334785+3 3.068312-6 4.616609+3 3.072000-6 4.873167+3 3.075222-6 5.077908+3 3.078228-6 5.249414+3 3.079868-6 5.334192+3 3.084224-6 5.525703+3 3.087625-6 5.638445+3 3.091587-6 5.725983+3 3.095294-6 5.763410+3 3.098007-6 5.763114+3 3.101703-6 5.725284+3 3.104291-6 5.673691+3 3.109601-6 5.506526+3 3.112568-6 5.379921+3 3.116570-6 5.175813+3 3.120529-6 4.941244+3 3.123991-6 4.714359+3 3.126882-6 4.512479+3 3.130599-6 4.240618+3 3.134734-6 3.927852+3 3.138869-6 3.610757+3 3.143050-6 3.292078+3 3.146302-6 3.049216+3 3.153736-6 2.523061+3 3.158730-6 2.199930+3 3.161169-6 2.052496+3 3.166744-6 1.742846+3 3.172825-6 1.449457+3 3.189381-6 8.705660+2 3.192983-6 7.814286+2 3.196558-6 7.036988+2 3.200105-6 6.360556+2 3.203624-6 5.772617+2 3.207115-6 5.261788+2 3.210579-6 4.817757+2 3.217454-6 4.091795+2 3.224221-6 3.537151+2 3.230882-6 3.107232+2 3.237439-6 2.768008+2 3.243894-6 2.495141+2 3.250247-6 2.271431+2 3.256502-6 2.084764+2 3.262659-6 1.926563+2 3.268719-6 1.790686+2 3.274685-6 1.672651+2 3.286431-6 1.476209+2 3.297809-6 1.320818+2 3.308832-6 1.194963+2 3.319510-6 1.091128+2 3.329855-6 1.004164+2 3.339876-6 9.304094+1 3.349584-6 8.671728+1 3.358989-6 8.124293+1 3.377211-6 7.212740+1 3.394293-6 6.500439+1 3.410309-6 5.930728+1 3.425323-6 5.466655+1 3.439399-6 5.082800+1 3.452595-6 4.760959+1 3.477338-6 4.238637+1 3.498987-6 3.851668+1 3.517931-6 3.556488+1 3.534507-6 3.326148+1 3.563514-6 2.974644+1 3.585270-6 2.746448+1 3.617903-6 2.449398+1 3.668507-6 2.070985+1 3.722419-6 1.750452+1 3.830243-6 1.273232+1 3.880959-6 1.100725+1 4.058463-6 6.060260+0 4.096000-6 5.102109+0 4.117053-6 4.574107+0 4.131917-6 4.199678+0 4.144924-6 3.868363+0 4.156304-6 3.574167+0 4.176220-6 3.046825+0 4.191157-6 2.640944+0 4.202359-6 2.333921+0 4.210761-6 2.105716+0 4.217063-6 1.938141+0 4.221789-6 1.815813+0 4.232422-6 1.556789+0 4.241832-6 1.354861+0 4.246393-6 1.269201+0 4.251606-6 1.182910+0 4.256820-6 1.110360+0 4.259426-6 1.079622+0 4.265291-6 1.024719+0 4.268549-6 1.003017+0 4.277672-6 9.762753-1 4.279546-6 9.769280-1 4.281684-6 9.801632-1 4.288099-6 1.005214+0 4.292110-6 1.031922+0 4.296119-6 1.066443+0 4.300968-6 1.117871+0 4.305583-6 1.175946+0 4.311558-6 1.263740+0 4.317728-6 1.369911+0 4.320029-6 1.414041+0 4.326138-6 1.545939+0 4.329804-6 1.637883+0 4.340556-6 1.991851+0 4.343406-6 2.115349+0 4.350982-6 2.532660+0 4.353833-6 2.731696+0 4.357005-6 2.986487+0 4.361083-6 3.373795+0 4.364961-6 3.814460+0 4.369658-6 4.458538+0 4.374833-6 5.330776+0 4.391702-6 9.678053+0 4.395615-6 1.107678+1 4.401286-6 1.339614+1 4.405848-6 1.552013+1 4.408741-6 1.698744+1 4.413574-6 1.964397+1 4.417543-6 2.201116+1 4.425328-6 2.710153+1 4.429195-6 2.982161+1 4.432781-6 3.243644+1 4.436647-6 3.533565+1 4.441183-6 3.881072+1 4.446094-6 4.261414+1 4.450732-6 4.619238+1 4.455445-6 4.975937+1 4.459114-6 5.245151+1 4.463530-6 5.555286+1 4.468312-6 5.868971+1 4.470991-6 6.032728+1 4.475884-6 6.305999+1 4.479808-6 6.498377+1 4.483167-6 6.642411+1 4.487976-6 6.813203+1 4.491513-6 6.910926+1 4.493719-6 6.959599+1 4.500338-6 7.048080+1 4.505339-6 7.057852+1 4.508519-6 7.039094+1 4.510903-6 7.012666+1 4.514480-6 6.953875+1 4.518057-6 6.873177+1 4.521697-6 6.770023+1 4.526474-6 6.605212+1 4.531081-6 6.418237+1 4.537996-6 6.094715+1 4.543375-6 5.815371+1 4.546065-6 5.668923+1 4.552117-6 5.328023+1 4.554135-6 5.212034+1 4.564894-6 4.589061+1 4.571618-6 4.207864+1 4.581033-6 3.701686+1 4.596991-6 2.950444+1 4.608000-6 2.523045+1 4.613804-6 2.327714+1 4.620175-6 2.135870+1 4.626346-6 1.971026+1 4.632325-6 1.829371+1 4.643909-6 1.598929+1 4.654769-6 1.426369+1 4.664950-6 1.294261+1 4.674495-6 1.190519+1 4.692392-6 1.033713+1 4.708052-6 9.240067+0 4.735456-6 7.686073+0 4.776563-6 5.801458+0 4.797116-6 4.951693+0 4.807393-6 4.539930+0 4.817669-6 4.137468+0 4.829527-6 3.689445+0 4.853243-6 2.897170+0 4.859172-6 2.736517+0 4.865102-6 2.598319+0 4.871031-6 2.487168+0 4.875477-6 2.424536+0 4.879163-6 2.387848+0 4.881887-6 2.370401+0 4.900958-6 2.523298+0 4.902459-6 2.558610+0 4.912962-6 2.913851+0 4.915119-6 3.011088+0 4.924966-6 3.563375+0 4.932250-6 4.085496+0 4.946293-6 5.341944+0 4.953939-6 6.140316+0 4.960201-6 6.836258+0 4.964770-6 7.359595+0 4.970929-6 8.073965+0 4.973732-6 8.398773+0 4.979359-6 9.042184+0 4.984986-6 9.663767+0 4.988550-6 1.004056+1 4.992770-6 1.046492+1 4.997740-6 1.092823+1 5.008994-6 1.179663+1 5.013120-6 1.204225+1 5.020998-6 1.239032+1 5.025359-6 1.251189+1 5.029315-6 1.257749+1 5.032777-6 1.260004+1 5.035806-6 1.259338+1 5.041107-6 1.252377+1 5.045083-6 1.242486+1 5.048065-6 1.232562+1 5.054774-6 1.202906+1 5.057010-6 1.190926+1 5.066013-6 1.133465+1 5.069014-6 1.111441+1 5.078017-6 1.038683+1 5.081018-6 1.012667+1 5.093022-6 9.034223+0 5.096999-6 8.663646+0 5.108929-6 7.564253+0 5.120000-6 6.602417+0 5.135046-6 5.457221+0 5.141312-6 5.050392+0 5.147595-6 4.688995+0 5.160203-6 4.112631+0 5.163355-6 4.000312+0 5.172811-6 3.739366+0 5.175964-6 3.677248+0 5.180692-6 3.606583+0 5.185420-6 3.561940+0 5.187362-6 3.550832+0 5.191004-6 3.540849+0 5.194191-6 3.543194+0 5.199768-6 3.570344+0 5.203951-6 3.608176+0 5.207089-6 3.645295+0 5.214147-6 3.752111+0 5.223244-6 3.925324+0 5.235852-6 4.196767+0 5.250036-6 4.486962+0 5.261068-6 4.662696+0 5.264220-6 4.701316+0 5.273676-6 4.781345+0 5.276839-6 4.795538+0 5.282374-6 4.804975+0 5.286526-6 4.799396+0 5.292753-6 4.771637+0 5.298980-6 4.722499+0 5.308690-6 4.610002+0 5.311927-6 4.564677+0 5.324874-6 4.358241+0 5.354005-6 3.879887+0 5.363716-6 3.750441+0 5.374541-6 3.632294+0 5.386785-6 3.530308+0 5.393881-6 3.484097+0 5.406693-6 3.417651+0 5.438494-6 3.285661+0 5.448176-6 3.241822+0 5.468705-6 3.134941+0 5.481823-6 3.058019+0 5.511391-6 2.871566+0 5.547297-6 2.636282+0 5.567284-6 2.500964+0 5.588917-6 2.349238+0 5.604011-6 2.240718+0 5.627536-6 2.071287+0 5.681990-6 1.718501+0 5.719196-6 1.518810+0 5.736333-6 1.428356+0 5.751925-6 1.342089+0 5.766112-6 1.258893+0 5.779085-6 1.178916+0 5.791713-6 1.098405+0 5.805028-6 1.012355+0 5.817650-6 9.317246-1 5.849951-6 7.447160-1 5.858688-6 7.021689-1 5.871700-6 6.473845-1 5.877786-6 6.256780-1 5.886149-6 6.003269-1 5.891705-6 5.865682-1 5.898664-6 5.731239-1 5.906243-6 5.638240-1 5.912584-6 5.609666-1 5.919543-6 5.639835-1 5.926503-6 5.748963-1 5.933463-6 5.958263-1 5.937741-6 6.149003-1 5.941885-6 6.388598-1 5.945900-6 6.681230-1 5.949790-6 7.031270-1 5.953558-6 7.443177-1 5.958976-6 8.184561-1 5.964116-6 9.083427-1 5.967604-6 9.822543-1 5.972723-6 1.113155+0 5.975750-6 1.205000+0 5.978707-6 1.306479+0 5.981571-6 1.417074+0 5.984346-6 1.536913+0 5.989638-6 1.804567+0 5.994605-6 2.109394+0 6.001560-6 2.640397+0 6.023651-6 5.451451+0 6.031874-6 7.097998+0 6.036685-6 8.257504+0 6.044579-6 1.052157+1 6.050623-6 1.259678+1 6.055250-6 1.440849+1 6.061863-6 1.736488+1 6.068572-6 2.084415+1 6.075187-6 2.478801+1 6.079518-6 2.766306+1 6.092511-6 3.776886+1 6.099281-6 4.395062+1 6.104684-6 4.934034+1 6.113877-6 5.942611+1 6.117875-6 6.415920+1 6.131065-6 8.111550+1 6.135880-6 8.774799+1 6.145073-6 1.008978+2 6.151400-6 1.101994+2 6.156931-6 1.184037+2 6.161551-6 1.252494+2 6.167490-6 1.339600+2 6.172742-6 1.414982+2 6.178404-6 1.493647+2 6.185049-6 1.581254+2 6.191269-6 1.657425+2 6.199114-6 1.743617+2 6.206299-6 1.811237+2 6.213153-6 1.864351+2 6.220013-6 1.905416+2 6.226503-6 1.932494+2 6.232667-6 1.947301+2 6.239273-6 1.951265+2 6.250375-6 1.930678+2 6.256609-6 1.904826+2 6.263544-6 1.864896+2 6.268003-6 1.833491+2 6.275215-6 1.774154+2 6.280033-6 1.729276+2 6.286357-6 1.664937+2 6.294487-6 1.574830+2 6.301958-6 1.486629+2 6.309429-6 1.395139+2 6.321102-6 1.249675+2 6.324370-6 1.209082+2 6.339311-6 1.028609+2 6.342202-6 9.951390+1 6.362438-6 7.797494+1 6.381708-6 6.108431+1 6.399587-6 4.870995+1 6.413733-6 4.098370+1 6.420724-6 3.776242+1 6.427660-6 3.491446+1 6.441424-6 3.016490+1 6.454973-6 2.646733+1 6.468310-6 2.357282+1 6.481438-6 2.128192+1 6.494362-6 1.944114+1 6.507083-6 1.793583+1 6.519606-6 1.668213+1 6.544260-6 1.469048+1 6.568144-6 1.317666+1 6.591281-6 1.197318+1 6.613696-6 1.098587+1 6.635409-6 1.015766+1 6.656445-6 9.451176+0 6.700000-6 8.215586+0 6.869590-6 4.717986+0 7.002870-6 2.625904+0 7.021974-6 2.353901+0 7.039885-6 2.105003+0 7.056676-6 1.878017+0 7.072417-6 1.672022+0 7.087175-6 1.486320+0 7.101010-6 1.320412+0 7.113981-6 1.174001+0 7.137541-6 9.395708-1 7.148228-6 8.521050-1 7.158247-6 7.852369-1 7.167641-6 7.397845-1 7.176447-6 7.166756-1 7.184703-6 7.168500-1 7.192443-6 7.411529-1 7.200000-6 7.929057-1 7.206501-6 8.644659-1 7.209690-6 9.102356-1 7.212779-6 9.620756-1 7.215771-6 1.019935+0 7.218670-6 1.083739+0 7.221479-6 1.153393+0 7.224199-6 1.228780+0 7.226835-6 1.309762+0 7.231862-6 1.487868+0 7.235419-6 1.634442+0 7.242526-6 1.985161+0 7.253096-6 2.674789+0 7.269642-6 4.272471+0 7.278626-6 5.476047+0 7.285637-6 6.614902+0 7.293197-6 8.065934+0 7.299909-6 9.570392+0 7.308540-6 1.183645+1 7.316833-6 1.440164+1 7.323626-6 1.681057+1 7.330808-6 1.967996+1 7.344518-6 2.614102+1 7.352670-6 3.062407+1 7.357072-6 3.324723+1 7.368153-6 4.048017+1 7.375083-6 4.544964+1 7.378777-6 4.823250+1 7.389859-6 5.710048+1 7.396789-6 6.300130+1 7.408922-6 7.385162+1 7.414779-6 7.926216+1 7.421046-6 8.512411+1 7.428083-6 9.174024+1 7.433961-6 9.724496+1 7.441518-6 1.042214+2 7.446669-6 1.088680+2 7.453430-6 1.147759+2 7.461664-6 1.215897+2 7.471570-6 1.290777+2 7.480370-6 1.349408+2 7.484716-6 1.375251+2 7.493498-6 1.420587+2 7.501732-6 1.454175+2 7.507011-6 1.470939+2 7.514569-6 1.488280+2 7.520850-6 1.496667+2 7.524490-6 1.499031+2 7.537128-6 1.493323+2 7.546501-6 1.475770+2 7.551985-6 1.460614+2 7.560983-6 1.428611+2 7.571087-6 1.383285+2 7.579526-6 1.338992+2 7.590376-6 1.275204+2 7.604048-6 1.187057+2 7.610559-6 1.143166+2 7.624231-6 1.049342+2 7.644944-6 9.091003+1 7.663800-6 7.897385+1 7.687817-6 6.552318+1 7.725623-6 4.877205+1 7.743961-6 4.244218+1 7.762300-6 3.709633+1 7.780639-6 3.258366+1 7.795439-6 2.945545+1 7.817316-6 2.553484+1 7.838534-6 2.240387+1 7.849607-6 2.099606+1 7.877122-6 1.808330+1 7.896415-6 1.648930+1 7.915709-6 1.523094+1 7.925355-6 1.472018+1 7.935002-6 1.428455+1 7.947011-6 1.384263+1 7.959914-6 1.348488+1 7.968341-6 1.331236+1 7.976768-6 1.318468+1 7.986442-6 1.308915+1 7.996116-6 1.304298+1 8.005790-6 1.304032+1 8.015464-6 1.307494+1 8.034812-6 1.323012+1 8.082132-6 1.380836+1 8.108006-6 1.406277+1 8.134929-6 1.417494+1 8.154604-6 1.413157+1 8.170248-6 1.401638+1 8.183974-6 1.385760+1 8.204563-6 1.352673+1 8.225152-6 1.310310+1 8.247641-6 1.256706+1 8.286052-6 1.159084+1 8.318136-6 1.083444+1 8.351636-6 1.018450+1 8.378915-6 9.774218+0 8.399337-6 9.527658+0 8.419760-6 9.320304+0 8.460605-6 8.975444+0 8.587509-6 8.065792+0 8.739345-6 7.214676+0 8.787383-6 6.936532+0 8.824183-6 6.687707+0 8.860267-6 6.405359+0 8.886632-6 6.176736+0 8.921857-6 5.852082+0 9.025216-6 4.941593+0 9.089848-6 4.487461+0 9.141797-6 4.175682+0 9.165425-6 4.055354+0 9.176919-6 4.005232+0 9.190791-6 3.954858+0 9.211213-6 3.906951+0 9.233103-6 3.900909+0 9.257317-6 3.962868+0 9.268654-6 4.019978+0 9.279991-6 4.095920+0 9.287362-6 4.155422+0 9.298419-6 4.259294+0 9.309476-6 4.379841+0 9.328870-6 4.626671+0 9.370688-6 5.252998+0 9.393362-6 5.595182+0 9.416036-6 5.898755+0 9.421704-6 5.965253+0 9.438710-6 6.136365+0 9.446110-6 6.196144+0 9.457210-6 6.267757+0 9.468311-6 6.316933+0 9.477916-6 6.341142+0 9.492324-6 6.346017+0 9.506732-6 6.314965+0 9.519666-6 6.259103+0 9.526377-6 6.220697+0 9.548937-6 6.051707+0 9.571496-6 5.836037+0 9.581764-6 5.727618+0 9.616615-6 5.338206+0 9.675005-6 4.712402+0 9.700456-6 4.477967+0 9.728423-6 4.256524+0 9.748208-6 4.125030+0 9.772085-6 3.996054+0 9.795961-6 3.900984+0 9.819838-6 3.840182+0 9.831776-6 3.822236+0 9.843714-6 3.812081+0 9.867591-6 3.812565+0 9.891467-6 3.834803+0 9.939220-6 3.907114+0 9.965219-6 3.939179+0 9.989747-6 3.952426+0 1.000201-5 3.951155+0 1.002041-5 3.938704+0 1.003880-5 3.914023+0 1.005860-5 3.875523+0 1.008248-5 3.816760+0 1.016445-5 3.590943+0 1.021050-5 3.490149+0 1.027311-5 3.388662+0 1.035797-5 3.272123+0 1.045996-5 3.124040+0 1.051475-5 3.035941+0 1.056944-5 2.935290+0 1.061293-5 2.842967+0 1.066271-5 2.725245+0 1.076546-5 2.478663+0 1.078848-5 2.430307+0 1.082532-5 2.361584+0 1.087196-5 2.289750+0 1.091017-5 2.241083+0 1.107375-5 2.063695+0 1.124707-5 1.857744+0 1.142038-5 1.649420+0 1.175840-5 1.263862+0 1.190000-5 1.116952+0 1.220092-5 8.365466-1 1.244515-5 6.431720-1 1.266452-5 5.004822-1 1.293955-5 3.634988-1 1.301968-5 3.330086-1 1.318749-5 2.857284-1 1.321847-5 2.794406-1 1.327301-5 2.703578-1 1.333521-5 2.632041-1 1.346859-5 2.595742-1 1.361528-5 2.744833-1 1.380384-5 3.239553-1 1.383531-5 3.358642-1 1.389832-5 3.631733-1 1.408994-5 4.745212-1 1.426292-5 6.133116-1 1.443590-5 7.924349-1 1.457428-5 9.682178-1 1.474725-5 1.231040+0 1.496442-5 1.552852+0 1.502987-5 1.600899+0 1.529491-5 1.481110+0 1.551999-5 1.262828+0 1.570970-5 1.084770+0 1.586247-5 9.487743-1 1.603245-5 8.075469-1 1.617405-5 6.999690-1 1.640774-5 5.476642-1 1.652458-5 4.862596-1 1.660792-5 4.498489-1 1.675156-5 4.035444-1 1.689598-5 3.809127-1 1.691928-5 3.798122-1 1.703589-5 3.864319-1 1.714355-5 4.126052-1 1.717232-5 4.232261-1 1.730274-5 4.926974-1 1.742993-5 5.982558-1 1.755316-5 7.421409-1 1.767253-5 9.270764-1 1.800874-5 1.756615+0 1.811387-5 2.134622+0 1.821572-5 2.568452+0 1.831439-5 3.061317+0 1.841001-5 3.617035+0 1.859228-5 4.931961+0 1.867918-5 5.698239+0 1.884755-5 7.489781+0 1.900540-5 9.613750+0 1.954412-5 2.202334+1 1.976560-5 3.094399+1 1.986667-5 3.619873+1 1.996026-5 4.191809+1 2.006184-5 4.925250+1 2.013135-5 5.508257+1 2.020896-5 6.252070+1 2.028172-5 7.054178+1 2.036619-5 8.137790+1 2.047384-5 9.813815+1 2.054206-5 1.108963+2 2.058274-5 1.194574+2 2.065312-5 1.362701+2 2.070000-5 1.491135+2 2.076528-5 1.696641+2 2.084126-5 1.984596+2 2.090775-5 2.292745+2 2.096592-5 2.619281+2 2.101682-5 2.961536+2 2.106373-5 3.336178+2 2.110033-5 3.676894+2 2.113443-5 4.039587+2 2.116427-5 4.398146+2 2.121648-5 5.133159+2 2.125564-5 5.787762+2 2.130704-5 6.801761+2 2.146533-5 1.124771+3 2.153140-5 1.379752+3 2.163713-5 1.903211+3 2.169000-5 2.242816+3 2.171643-5 2.440815+3 2.174287-5 2.662357+3 2.176930-5 2.911669+3 2.180895-5 3.348066+3 2.185990-5 4.043841+3 2.190469-5 4.807587+3 2.200441-5 7.118862+3 2.205209-5 8.532930+3 2.207624-5 9.317341+3 2.210835-5 1.041780+4 2.213327-5 1.130623+4 2.217041-5 1.265809+4 2.219988-5 1.372828+4 2.222472-5 1.460834+4 2.225029-5 1.547507+4 2.227492-5 1.625615+4 2.229680-5 1.689228+4 2.232294-5 1.756648+4 2.235355-5 1.821577+4 2.237965-5 1.863442+4 2.239318-5 1.879852+4 2.241967-5 1.901008+4 2.243498-5 1.906435+4 2.248937-5 1.884992+4 2.250811-5 1.863232+4 2.254885-5 1.792372+4 2.256815-5 1.748528+4 2.258962-5 1.692903+4 2.260343-5 1.653731+4 2.262784-5 1.578776+4 2.265338-5 1.493978+4 2.267472-5 1.419334+4 2.270214-5 1.319917+4 2.272909-5 1.220256+4 2.275603-5 1.120394+4 2.278635-5 1.009779+4 2.280992-5 9.262133+3 2.286381-5 7.474825+3 2.289347-5 6.581807+3 2.294190-5 5.281311+3 2.297958-5 4.409956+3 2.300765-5 3.839254+3 2.304610-5 3.160884+3 2.310160-5 2.372864+3 2.315710-5 1.776739+3 2.322075-5 1.279364+3 2.324739-5 1.118163+3 2.328717-5 9.189449+2 2.337908-5 6.049009+2 2.339222-5 5.731721+2 2.344590-5 4.704673+2 2.345306-5 4.597313+2 2.350318-5 4.015595+2 2.351075-5 3.951665+2 2.352398-5 3.853553+2 2.356368-5 3.656550+2 2.358089-5 3.612371+2 2.359071-5 3.597263+2 2.360790-5 3.587237+2 2.362130-5 3.592896+2 2.363045-5 3.603024+2 2.364495-5 3.628684+2 2.366891-5 3.694068+2 2.369789-5 3.804587+2 2.373515-5 3.982521+2 2.379944-5 4.329185+2 2.383695-5 4.522765+2 2.385303-5 4.598496+2 2.390661-5 4.803594+2 2.392626-5 4.856773+2 2.396376-5 4.921174+2 2.398824-5 4.936163+2 2.400220-5 4.935224+2 2.402664-5 4.917547+2 2.404820-5 4.885909+2 2.408621-5 4.797422+2 2.410284-5 4.747291+2 2.414012-5 4.614904+2 2.419794-5 4.373025+2 2.435482-5 3.707670+2 2.439727-5 3.560765+2 2.443211-5 3.454528+2 2.446772-5 3.358771+2 2.454215-5 3.194570+2 2.457691-5 3.130930+2 2.465330-5 3.009701+2 2.490716-5 2.665299+2 2.512500-5 2.397727+2 2.526900-5 2.250735+2 2.543195-5 2.113044+2 2.554342-5 2.032020+2 2.584713-5 1.843611+2 2.630268-5 1.606721+2 2.660049-5 1.474616+2 2.718047-5 1.260136+2 2.750000-5 1.161675+2 2.832413-5 9.534094+1 3.037386-5 6.044803+1 3.098576-5 5.333704+1 3.121856-5 5.100722+1 3.144424-5 4.898914+1 3.165580-5 4.734791+1 3.185415-5 4.607874+1 3.203719-5 4.520023+1 3.220897-5 4.469760+1 3.229086-5 4.458757+1 3.244703-5 4.463673+1 3.259360-5 4.498709+1 3.292081-5 4.619795+1 3.307024-5 4.643422+1 3.335888-5 4.620697+1 3.344935-5 4.632893+1 3.349247-5 4.650506+1 3.353425-5 4.677640+1 3.357472-5 4.715484+1 3.361393-5 4.765109+1 3.365191-5 4.827494+1 3.368870-5 4.903559+1 3.372435-5 4.994196+1 3.375888-5 5.100293+1 3.379233-5 5.222754+1 3.382473-5 5.362522+1 3.385613-5 5.520587+1 3.391695-5 5.902723+1 3.397397-5 6.374527+1 3.402743-5 6.946677+1 3.407755-5 7.630544+1 3.412454-5 8.437633+1 3.416859-5 9.378852+1 3.420988-5 1.046374+2 3.424860-5 1.169974+2 3.428489-5 1.309161+2 3.431892-5 1.464104+2 3.435624-5 1.666322+2 3.438073-5 1.820313+2 3.440876-5 2.020325+2 3.443505-5 2.233644+2 3.445969-5 2.459011+2 3.450589-5 2.957275+2 3.458170-5 4.033949+2 3.470525-5 6.709235+2 3.475788-5 8.291372+2 3.481425-5 1.033731+3 3.485098-5 1.188380+3 3.490338-5 1.440068+3 3.493482-5 1.609227+3 3.498429-5 1.903303+3 3.500078-5 2.008870+3 3.509186-5 2.656445+3 3.511195-5 2.812763+3 3.517223-5 3.305592+3 3.520522-5 3.587350+3 3.526510-5 4.111479+3 3.529022-5 4.332906+3 3.532611-5 4.647305+3 3.534918-5 4.846419+3 3.539012-5 5.189791+3 3.543139-5 5.517490+3 3.546803-5 5.787546+3 3.550521-5 6.036590+3 3.552396-5 6.151275+3 3.556754-5 6.386059+3 3.560855-5 6.562220+3 3.563243-5 6.643256+3 3.567613-5 6.748184+3 3.571506-5 6.792905+3 3.575832-5 6.788002+3 3.579314-5 6.742742+3 3.582678-5 6.665072+3 3.587624-5 6.493677+3 3.591197-5 6.330829+3 3.595811-5 6.077658+3 3.598047-5 5.939641+3 3.600284-5 5.792870+3 3.603094-5 5.597499+3 3.606782-5 5.325681+3 3.610338-5 5.050843+3 3.615810-5 4.612659+3 3.620097-5 4.264064+3 3.624919-5 3.874295+3 3.628670-5 3.577446+3 3.637242-5 2.935858+3 3.640323-5 2.721664+3 3.647356-5 2.271434+3 3.654388-5 1.879048+3 3.664824-5 1.404818+3 3.674879-5 1.061365+3 3.678145-5 9.710883+2 3.682064-5 8.750223+2 3.686400-5 7.830148+2 3.688734-5 7.391810+2 3.694846-5 6.412259+2 3.699348-5 5.828435+2 3.703851-5 5.344992+2 3.708354-5 4.948504+2 3.712857-5 4.626861+2 3.715729-5 4.455758+2 3.720038-5 4.242363+2 3.724898-5 4.055324+2 3.729349-5 3.925747+2 3.732877-5 3.846751+2 3.737596-5 3.768198+2 3.742486-5 3.713250+2 3.748901-5 3.671578+2 3.758306-5 3.649877+2 3.772916-5 3.649296+2 3.782804-5 3.642084+2 3.790740-5 3.624214+2 3.802340-5 3.577323+2 3.813465-5 3.514582+2 3.842944-5 3.331249+2 3.862276-5 3.235893+2 3.910000-5 3.051817+2 3.972132-5 2.786958+2 3.984915-5 2.740934+2 4.010679-5 2.662990+2 4.057229-5 2.557512+2 4.089393-5 2.500061+2 4.137354-5 2.429904+2 4.174826-5 2.385253+2 4.220000-5 2.340926+2 4.268784-5 2.303428+2 4.333737-5 2.266828+2 4.418029-5 2.236602+2 4.486845-5 2.223036+2 4.599175-5 2.217810+2 4.648410-5 2.221605+2 4.750204-5 2.239315+2 4.842105-5 2.263838+2 4.979065-5 2.315794+2 5.136831-5 2.392906+2 5.321047-5 2.502710+2 5.680637-5 2.754053+2 5.714739-5 2.788268+2 5.758805-5 2.855410+2 5.801670-5 2.949671+2 5.832000-5 3.021457+2 5.853126-5 3.065159+2 5.877069-5 3.103181+2 5.904048-5 3.130850+2 5.983519-5 3.183449+2 6.017452-5 3.219289+2 6.086229-5 3.310192+2 6.156231-5 3.396607+2 6.267345-5 3.516025+2 6.971140-5 4.398576+2 7.267727-5 4.784908+2 7.573113-5 5.176501+2 7.926767-5 5.609248+2 8.247909-5 5.964534+2 8.555434-5 6.257708+2 8.887894-5 6.512861+2 9.180906-5 6.674727+2 9.428193-5 6.750229+2 9.606491-5 6.767680+2 9.830400-5 6.735591+2 1.000006-4 6.663404+2 1.019088-4 6.531024+2 1.035894-4 6.363187+2 1.048905-4 6.209139+2 1.060188-4 6.163617+2 1.073875-4 6.380974+2 1.084147-4 6.682436+2 1.095283-4 7.097513+2 1.103002-4 7.451136+2 1.109905-4 7.829557+2 1.118724-4 8.428534+2 1.126175-4 9.076372+2 1.131979-4 9.711418+2 1.136645-4 1.033891+3 1.141147-4 1.108275+3 1.145567-4 1.200110+3 1.149732-4 1.311499+3 1.152995-4 1.423164+3 1.155927-4 1.549228+3 1.158988-4 1.716410+3 1.160008-4 1.782329+3 1.162863-4 2.000761+3 1.164291-4 2.132126+3 1.165718-4 2.280929+3 1.167146-4 2.449335+3 1.168574-4 2.639581+3 1.170715-4 2.970823+3 1.172856-4 3.363553+3 1.176255-4 4.127837+3 1.180591-4 5.371311+3 1.183128-4 6.232167+3 1.186751-4 7.597167+3 1.189650-4 8.755596+3 1.190284-4 9.010998+3 1.192430-4 9.865997+3 1.194174-4 1.053598+4 1.195535-4 1.103276+4 1.197002-4 1.153372+4 1.198724-4 1.206411+4 1.200432-4 1.251644+4 1.201064-4 1.266293+4 1.202762-4 1.299505+4 1.204250-4 1.320705+4 1.206129-4 1.336214+4 1.206889-4 1.338797+4 1.209669-4 1.329834+4 1.210462-4 1.322024+4 1.212622-4 1.289361+4 1.214292-4 1.253393+4 1.215526-4 1.221376+4 1.217112-4 1.174181+4 1.218508-4 1.127794+4 1.219674-4 1.086163+4 1.221174-4 1.029591+4 1.222623-4 9.725443+3 1.224435-4 8.993993+3 1.226337-4 8.221583+3 1.226971-4 7.966239+3 1.230143-4 6.731445+3 1.230655-4 6.541339+3 1.234241-4 5.308807+3 1.240958-4 3.538678+3 1.243355-4 3.075816+3 1.245391-4 2.743337+3 1.247593-4 2.438692+3 1.250565-4 2.103805+3 1.253861-4 1.813007+3 1.257537-4 1.561972+3 1.261929-4 1.332854+3 1.266953-4 1.140582+3 1.270749-4 1.043296+3 1.274150-4 1.000370+3 1.276856-4 1.005452+3 1.278857-4 1.037100+3 1.280707-4 1.091145+3 1.282205-4 1.154474+3 1.282672-4 1.178099+3 1.283852-4 1.246317+3 1.284852-4 1.314244+3 1.286294-4 1.429122+3 1.287843-4 1.575864+3 1.292939-4 2.237679+3 1.296313-4 2.825891+3 1.297595-4 3.078310+3 1.299834-4 3.552979+3 1.301192-4 3.858945+3 1.303335-4 4.363546+3 1.304879-4 4.738804+3 1.306151-4 5.051972+3 1.307725-4 5.440285+3 1.309433-4 5.856838+3 1.311242-4 6.284690+3 1.312483-4 6.565630+3 1.314068-4 6.904367+3 1.315756-4 7.234146+3 1.316347-4 7.340837+3 1.318370-4 7.666030+3 1.319238-4 7.784907+3 1.322196-4 8.085499+3 1.323508-4 8.163623+3 1.325779-4 8.215242+3 1.326808-4 8.203702+3 1.328558-4 8.135342+3 1.329898-4 8.043312+3 1.330993-4 7.944230+3 1.332429-4 7.784106+3 1.334276-4 7.533733+3 1.335860-4 7.285475+3 1.337839-4 6.941322+3 1.339918-4 6.551947+3 1.340611-4 6.418117+3 1.344174-4 5.720720+3 1.347023-4 5.178283+3 1.352614-4 4.235542+3 1.355824-4 3.790849+3 1.357430-4 3.596546+3 1.359891-4 3.333573+3 1.361500-4 3.183069+3 1.363613-4 3.008977+3 1.365662-4 2.863021+3 1.368760-4 2.679198+3 1.372100-4 2.521506+3 1.375675-4 2.388645+3 1.379451-4 2.278491+3 1.384695-4 2.162291+3 1.389747-4 2.078368+3 1.393497-4 2.028377+3 1.400321-4 1.955142+3 1.404192-4 1.920318+3 1.415889-4 1.831496+3 1.428463-4 1.754767+3 1.445475-4 1.677370+3 1.462177-4 1.623989+3 1.485000-4 1.574615+3 1.510620-4 1.538965+3 1.536000-4 1.515975+3 1.631700-4 1.452248+3 1.685807-4 1.409243+3 1.757924-4 1.345365+3 1.842454-4 1.269623+3 1.972438-4 1.158782+3 2.176946-4 1.005031+3 2.306362-4 9.197477+2 2.369586-4 8.789983+2 2.393904-4 8.622526+2 2.437521-4 8.281460+2 2.467235-4 8.036939+2 2.481500-4 7.958861+2 2.498502-4 7.924100+2 2.538417-4 7.964222+2 2.556901-4 7.962623+2 2.590080-4 7.914463+2 2.650000-4 7.780123+2 2.767922-4 7.491095+2 2.921628-4 7.108269+2 3.037538-4 6.832885+2 3.153229-4 6.557971+2 3.353199-4 6.067269+2 3.382861-4 6.022761+2 3.416832-4 6.006739+2 3.464626-4 6.002335+2 3.589911-4 5.912799+2 3.851484-4 5.606637+2 4.039402-4 5.333952+2 4.124242-4 5.210519+2 4.203469-4 5.128433+2 4.365195-4 4.925962+2 4.588496-4 4.575546+2 4.743142-4 4.296931+2 4.897788-4 3.982472+2 5.021307-4 3.699107+2 5.142964-4 3.387849+2 5.220969-4 3.177925+2 5.310338-4 2.936684+2 5.405524-4 2.695935+2 5.446575-4 2.586241+2 5.471130-4 2.515158+2 5.505625-4 2.410008+2 5.553054-4 2.260265+2 5.573500-4 2.194400+2 5.615000-4 2.057572+2 5.660000-4 1.904643+2 5.696900-4 1.778005+2 5.800000-4 1.450925+2 5.829421-4 1.375121+2 5.853625-4 1.322219+2 5.880000-4 1.276324+2 5.905409-4 1.245614+2 5.934981-4 1.229048+2 5.965287-4 1.236280+2 5.994492-4 1.269103+2 6.023639-4 1.329579+2 6.049481-4 1.408084+2 6.067472-4 1.477234+2 6.093888-4 1.601023+2 6.130960-4 1.820287+2 6.167585-4 2.089610+2 6.253734-4 2.926831+2 6.287487-4 3.327737+2 6.335000-4 3.951323+2 6.366050-4 4.390856+2 6.385000-4 4.669692+2 6.413025-4 5.094667+2 6.430000-4 5.358324+2 6.460458-4 5.840778+2 6.480000-4 6.155191+2 6.515000-4 6.724224+2 6.561000-4 7.476191+2 6.610331-4 8.277465+2 6.657500-4 9.029979+2 6.709530-4 9.837226+2 6.780000-4 1.088371+3 6.845731-4 1.180436+3 6.914678-4 1.270967+3 6.965000-4 1.332986+3 7.040000-4 1.418776+3 7.135000-4 1.516973+3 7.237624-4 1.611622+3 7.297873-4 1.662349+3 7.414123-4 1.751584+3 7.543404-4 1.839647+3 7.680000-4 1.921748+3 7.838728-4 2.004310+3 7.969478-4 2.062498+3 8.162681-4 2.136542+3 8.346701-4 2.194677+3 8.542853-4 2.243498+3 8.906762-4 2.304969+3 8.951589-4 2.330335+3 8.997568-4 2.376295+3 9.043273-4 2.441834+3 9.066742-4 2.479281+3 9.124775-4 2.557723+3 9.149242-4 2.575206+3 9.172950-4 2.579832+3 9.197092-4 2.572081+3 9.220470-4 2.554435+3 9.302229-4 2.465237+3 9.324618-4 2.447265+3 9.353000-4 2.434089+3 9.390390-4 2.433865+3 9.455290-4 2.470002+3 9.538313-4 2.553353+3 9.627673-4 2.670098+3 9.661610-4 2.717060+3 9.723913-4 2.789995+3 9.763468-4 2.818626+3 9.788014-4 2.828330+3 9.819798-4 2.833179+3 9.917684-4 2.829879+3 9.962902-4 2.836946+3 1.000513-3 2.851653+3 1.026242-3 2.979219+3 1.048717-3 3.064407+3 1.079509-3 3.157330+3 1.109341-3 3.228964+3 1.143159-3 3.288434+3 1.177888-3 3.327687+3 1.212691-3 3.347625+3 1.248968-3 3.346404+3 1.255770-3 3.352645+3 1.264148-3 3.370446+3 1.277163-3 3.418773+3 1.298487-3 3.509634+3 1.312926-3 3.555699+3 1.335609-3 3.603960+3 1.371485-3 3.654511+3 1.413587-3 3.694535+3 1.461358-3 3.724734+3 1.518621-3 3.748311+3 1.612598-3 3.764741+3 1.643378-3 3.781388+3 1.680226-3 3.792169+3 1.729103-3 3.791488+3 1.782435-3 3.782014+3 1.857105-3 3.807534+3 1.921985-3 3.805390+3 2.006781-3 3.791958+3 2.101389-3 3.766430+3 2.210097-3 3.725591+3 2.328825-3 3.674213+3 2.447654-3 3.615170+3 2.581177-3 3.539559+3 2.733408-3 3.448849+3 2.888075-3 3.347560+3 3.046386-3 3.235034+3 3.200622-3 3.116353+3 3.352486-3 2.991349+3 3.479866-3 2.877587+3 3.600089-3 2.760410+3 3.704503-3 2.649403+3 3.792892-3 2.545569+3 3.866729-3 2.448359+3 3.935501-3 2.344586+3 3.989158-3 2.252764+3 4.036821-3 2.158827+3 4.069252-3 2.084556+3 4.102063-3 1.996641+3 4.127761-3 1.916547+3 4.185532-3 1.723534+3 4.201878-3 1.684223+3 4.209230-3 1.671849+3 4.218891-3 1.661561+3 4.227587-3 1.658538+3 4.238250-3 1.663083+3 4.248431-3 1.675575+3 4.258613-3 1.695187+3 4.276723-3 1.743621+3 4.316848-3 1.872938+3 4.332864-3 1.918512+3 4.341352-3 1.939423+3 4.357259-3 1.971936+3 4.375347-3 1.998936+3 4.406945-3 2.029285+3 4.440144-3 2.060854+3 4.453998-3 2.080422+3 4.471034-3 2.112386+3 4.491805-3 2.163729+3 4.519022-3 2.247624+3 4.559686-3 2.385299+3 4.590170-3 2.478816+3 4.611747-3 2.534766+3 4.637229-3 2.589517+3 4.665586-3 2.638256+3 4.706965-3 2.692805+3 4.746586-3 2.732260+3 4.802226-3 2.772341+3 4.855855-3 2.795843+3 4.905157-3 2.803628+3 4.947766-3 2.798238+3 5.047068-3 2.758113+3 5.066261-3 2.759699+3 5.083232-3 2.768241+3 5.111529-3 2.798432+3 5.163555-3 2.888231+3 5.191735-3 2.938349+3 5.216811-3 2.976651+3 5.243616-3 3.009660+3 5.283085-3 3.045684+3 5.329596-3 3.075483+3 5.382399-3 3.099450+3 5.441266-3 3.118166+3 5.509125-3 3.132308+3 5.602588-3 3.142712+3 5.781444-3 3.141055+3 5.885311-3 3.129352+3 6.059507-3 3.094156+3 6.194631-3 3.048855+3 6.281799-3 3.011541+3 6.345999-3 2.996515+3 6.524245-3 3.005814+3 6.711741-3 2.973384+3 6.830510-3 2.978499+3 6.937243-3 2.981566+3 7.104223-3 2.964933+3 7.362452-3 2.921128+3 7.803555-3 2.829429+3 8.347616-3 2.705117+3 8.874712-3 2.583689+3 9.580794-3 2.422509+3 1.034398-2 2.257705+3 1.125253-2 2.077352+3 1.224363-2 1.898843+3 1.333282-2 1.723352+3 1.396354-2 1.630643+3 1.462178-2 1.539833+3 1.524594-2 1.458066+3 1.593071-2 1.372617+3 1.653897-2 1.299831+3 1.703433-2 1.242165+3 1.748672-2 1.190204+3 1.785572-2 1.147456+3 1.819701-2 1.107398+3 1.848737-2 1.072206+3 1.871412-2 1.043290+3 1.889188-2 1.019239+3 1.905461-2 9.955315+2 1.919681-2 9.726202+2 1.931254-2 9.515069+2 1.940284-2 9.328786+2 1.953515-2 9.019966+2 1.971216-2 8.600483+2 1.979532-2 8.453566+2 1.986424-2 8.380793+2 1.992157-2 8.360537+2 1.999080-2 8.385001+2 2.008009-2 8.482721+2 2.030659-2 8.859787+2 2.044366-2 9.042811+2 2.052551-2 9.119382+2 2.062210-2 9.182734+2 2.073230-2 9.228089+2 2.087598-2 9.257993+2 2.103744-2 9.265638+2 2.141017-2 9.218404+2 2.187154-2 9.087164+2 2.245174-2 8.858593+2 2.306501-2 8.569665+2 2.338438-2 8.401673+2 2.391939-2 8.087522+2 2.415504-2 7.930798+2 2.435712-2 7.780725+2 2.450998-2 7.652083+2 2.473129-2 7.436534+2 2.501827-2 7.150683+2 2.514455-2 7.063584+2 2.526458-2 7.019993+2 2.539598-2 7.013373+2 2.609302-2 7.145596+2 2.660984-2 7.294715+2 2.688884-2 7.324185+2 2.730549-2 7.306639+2 2.784868-2 7.235127+2 2.882380-2 7.049852+2 2.968781-2 6.859560+2 3.128228-2 6.488786+2 3.316043-2 6.058648+2 3.603128-2 5.456827+2 3.871601-2 4.958162+2 4.170398-2 4.464845+2 4.538352-2 3.941905+2 4.926597-2 3.479301+2 5.300136-2 3.101193+2 5.758541-2 2.707472+2 6.554504-2 2.172535+2 7.768059-2 1.613780+2 9.124076-2 1.209190+2 9.952568-2 1.030585+2 1.078176-1 8.854152+1 1.125049-1 8.144144+1 1.164294-1 7.596714+1 1.220974-1 6.864248+1 1.244222-1 6.576267+1 1.263449-1 6.339092+1 1.278750-1 6.147839+1 1.291562-1 5.982686+1 1.302418-1 5.835258+1 1.311287-1 5.705178+1 1.318327-1 5.591953+1 1.329809-1 5.384076+1 1.343493-1 5.134756+1 1.349306-1 5.057789+1 1.355477-1 5.011823+1 1.360897-1 5.004385+1 1.367223-1 5.028201+1 1.385708-1 5.160090+1 1.394991-1 5.199442+1 1.400671-1 5.210463+1 1.408878-1 5.213226+1 1.418676-1 5.202848+1 1.442371-1 5.145159+1 1.468543-1 5.053885+1 1.507260-1 4.896973+1 1.553604-1 4.700116+1 1.617228-1 4.429143+1 1.727841-1 3.986627+1 1.904580-1 3.384198+1 2.113990-1 2.822261+1 2.407155-1 2.238308+1 2.851018-1 1.644818+1 3.530307-1 1.106153+1 4.370659-1 7.392912+0 5.761650-1 4.358633+0 8.709636-1 1.959452+0 1.286622+0 9.151227-1 1.947381+0 4.043400-1 3.556850+0 1.221888-1 1.070165+1 1.354352-2 3.231848+1 1.485123-3 9.760024+1 1.628398-4 2.947480+2 1.785501-5 8.901248+2 1.957763-6 3.162278+3 1.551179-7 1.000000+4 1.551179-8 3.162278+4 1.551179-9 1.000000+5 1.55118-10 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.654200-6 1.258900-6 4.206500-6 1.584900-6 6.666900-6 1.995300-6 1.056600-5 2.511900-6 1.674600-5 3.162300-6 2.654100-5 3.981100-6 4.206500-5 5.011900-6 6.666800-5 6.309600-6 1.056600-4 7.943300-6 1.674600-4 1.000000-5 2.654000-4 1.258900-5 4.206300-4 1.584900-5 6.663100-4 1.995300-5 1.055300-3 2.511900-5 1.671700-3 3.162300-5 2.648400-3 3.981100-5 4.196100-3 5.011900-5 6.648800-3 6.309600-5 1.053500-2 7.943300-5 1.666600-2 1.000000-4 2.635300-2 1.258900-4 4.166700-2 1.584900-4 6.570000-2 1.995300-4 1.033900-1 2.511900-4 1.619700-1 3.162300-4 2.520500-1 3.981100-4 3.881300-1 5.011900-4 5.857800-1 6.309600-4 8.629300-1 7.943300-4 1.232200+0 1.000000-3 1.703000+0 1.258900-3 2.291900+0 1.584900-3 3.033500+0 1.995300-3 3.979900+0 2.511900-3 5.159800+0 3.162300-3 6.590000+0 3.981100-3 8.290300+0 5.011900-3 1.027300+1 6.309600-3 1.251600+1 7.943300-3 1.503400+1 1.000000-2 1.788200+1 1.258900-2 2.104200+1 1.584900-2 2.433900+1 1.995300-2 2.756900+1 2.511900-2 3.059700+1 3.162300-2 3.345900+1 3.981100-2 3.598700+1 5.011900-2 3.803500+1 6.309600-2 3.944100+1 7.943300-2 4.014000+1 1.000000-1 4.011600+1 1.258900-1 3.948300+1 1.584900-1 3.827500+1 1.995300-1 3.663100+1 2.511900-1 3.460000+1 3.162300-1 3.235300+1 3.981100-1 2.997900+1 5.011900-1 2.754900+1 6.309600-1 2.512900+1 7.943300-1 2.276000+1 1.000000+0 2.047200+1 1.258900+0 1.828600+1 1.584900+0 1.622000+1 1.995300+0 1.429900+1 2.511900+0 1.251900+1 3.162300+0 1.089100+1 3.981100+0 9.417000+0 5.011900+0 8.096700+0 6.309600+0 6.924800+0 7.943300+0 5.893800+0 1.000000+1 4.993800+0 1.258900+1 4.214100+0 1.584900+1 3.543100+0 1.995300+1 2.969100+0 2.511900+1 2.480500+0 3.162300+1 2.066700+0 3.981100+1 1.717800+0 5.011900+1 1.424600+0 6.309600+1 1.179100+0 7.943300+1 9.740600-1 1.000000+2 8.033800-1 1.258900+2 6.616000-1 1.584900+2 5.440900-1 1.995300+2 4.468800-1 2.511900+2 3.666100-1 3.162300+2 3.004300-1 3.981100+2 2.459500-1 5.011900+2 2.011600-1 6.309600+2 1.643800-1 7.943300+2 1.342200-1 1.000000+3 1.095100-1 1.258900+3 8.928000-2 1.584900+3 7.273900-2 1.995300+3 5.922500-2 2.511900+3 4.819200-2 3.162300+3 3.919200-2 3.981100+3 3.185500-2 5.011900+3 2.587800-2 6.309600+3 2.101200-2 7.943300+3 1.705300-2 1.000000+4 1.383400-2 1.258900+4 1.121700-2 1.584900+4 9.091500-3 1.995300+4 7.365800-3 2.511900+4 5.965400-3 3.162300+4 4.829400-3 3.981100+4 3.908300-3 5.011900+4 3.161900-3 6.309600+4 2.557100-3 7.943300+4 2.067300-3 1.000000+5 1.670900-3 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510166-4 3.162278-4 3.159557-4 3.981072-4 3.976777-4 5.011872-4 5.005114-4 6.309573-4 6.298966-4 7.943282-4 7.926691-4 1.000000-3 9.974111-4 1.258925-3 1.254884-3 1.584893-3 1.578567-3 1.995262-3 1.985326-3 2.511886-3 2.496279-3 3.162278-3 3.137800-3 3.981072-3 3.942675-3 5.011872-3 4.951924-3 6.309573-3 6.216010-3 7.943282-3 7.797108-3 1.000000-2 9.771929-3 1.258925-2 1.223451-2 1.584893-2 1.529891-2 1.995262-2 1.910513-2 2.511886-2 2.381855-2 3.162278-2 2.963688-2 3.981072-2 3.678872-2 5.011872-2 4.554883-2 6.309573-2 5.624435-2 7.943282-2 6.926076-2 1.000000-1 8.502705-2 1.258925-1 1.040124-1 1.584893-1 1.269144-1 1.995262-1 1.541948-1 2.511886-1 1.868822-1 3.162278-1 2.257494-1 3.981072-1 2.718551-1 5.011872-1 3.264087-1 6.309573-1 3.907427-1 7.943282-1 4.665922-1 1.000000+0 5.558932-1 1.258925+0 6.611977-1 1.584893+0 7.855145-1 1.995262+0 9.325216-1 2.511886+0 1.107078+0 3.162278+0 1.314785+0 3.981072+0 1.562781+0 5.011872+0 1.859668+0 6.309573+0 2.216127+0 7.943282+0 2.644476+0 1.000000+1 3.160995+0 1.258925+1 3.785155+0 1.584893+1 4.540322+0 1.995262+1 5.455622+0 2.511886+1 6.566394+0 3.162278+1 7.916244+0 3.981072+1 9.559138+0 5.011872+1 1.155984+1 6.309573+1 1.399943+1 7.943282+1 1.697708+1 1.000000+2 2.061455+1 1.258925+2 2.506179+1 1.584893+2 3.050328+1 1.995262+2 3.716678+1 2.511886+2 4.533196+1 3.162278+2 5.534465+1 3.981072+2 6.762914+1 5.011872+2 8.271255+1 6.309573+2 1.012421+2 7.943282+2 1.240182+2 1.000000+3 1.520277+2 1.258925+3 1.864904+2 1.584893+3 2.289171+2 1.995262+3 2.811746+2 2.511886+3 3.455637+2 3.162278+3 4.249324+2 3.981072+3 5.228149+2 5.011872+3 6.435786+2 6.309573+3 7.926432+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88195-10 1.995262-5 1.090622-9 2.511886-5 1.728491-9 3.162278-5 2.739507-9 3.981072-5 4.341877-9 5.011872-5 6.881397-9 6.309573-5 1.090597-8 7.943282-5 1.727633-8 1.000000-4 2.737290-8 1.258925-4 4.337368-8 1.584893-4 6.868404-8 1.995262-4 1.087529-7 2.511886-4 1.720896-7 3.162278-4 2.720612-7 3.981072-4 4.294561-7 5.011872-4 6.758294-7 6.309573-4 1.060754-6 7.943282-4 1.659166-6 1.000000-3 2.588941-6 1.258925-3 4.041034-6 1.584893-3 6.325781-6 1.995262-3 9.936441-6 2.511886-3 1.560767-5 3.162278-3 2.447760-5 3.981072-3 3.839652-5 5.011872-3 5.994802-5 6.309573-3 9.356374-5 7.943282-3 1.461744-4 1.000000-2 2.280709-4 1.258925-2 3.547402-4 1.584893-2 5.500176-4 1.995262-2 8.474957-4 2.511886-2 1.300312-3 3.162278-2 1.985898-3 3.981072-2 3.021994-3 5.011872-2 4.569893-3 6.309573-2 6.851386-3 7.943282-2 1.017206-2 1.000000-1 1.497295-2 1.258925-1 2.188018-2 1.584893-1 3.157496-2 1.995262-1 4.533139-2 2.511886-1 6.430643-2 3.162278-1 9.047837-2 3.981072-1 1.262521-1 5.011872-1 1.747785-1 6.309573-1 2.402147-1 7.943282-1 3.277360-1 1.000000+0 4.441068-1 1.258925+0 5.977277-1 1.584893+0 7.993787-1 1.995262+0 1.062741+0 2.511886+0 1.404808+0 3.162278+0 1.847493+0 3.981072+0 2.418291+0 5.011872+0 3.152204+0 6.309573+0 4.093446+0 7.943282+0 5.298807+0 1.000000+1 6.839005+0 1.258925+1 8.804099+0 1.584893+1 1.130861+1 1.995262+1 1.449700+1 2.511886+1 1.855247+1 3.162278+1 2.370653+1 3.981072+1 3.025158+1 5.011872+1 3.855888+1 6.309573+1 4.909631+1 7.943282+1 6.245575+1 1.000000+2 7.938545+1 1.258925+2 1.008307+2 1.584893+2 1.279860+2 1.995262+2 1.623594+2 2.511886+2 2.058567+2 3.162278+2 2.608831+2 3.981072+2 3.304780+2 5.011872+2 4.184747+2 6.309573+2 5.297152+2 7.943282+2 6.703100+2 1.000000+3 8.479723+2 1.258925+3 1.072435+3 1.584893+3 1.355976+3 1.995262+3 1.714088+3 2.511886+3 2.166323+3 3.162278+3 2.737345+3 3.981072+3 3.458257+3 5.011872+3 4.368294+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.710000-6 1.054726+7 5.860000-6 9.788720+6 6.700000-6 6.461880+6 7.700000-6 4.229880+6 8.810489-6 2.828501+6 9.020000-6 2.640197+6 9.020000-6 4.946930+6 9.120108-6 4.787114+6 9.440609-6 4.372291+6 9.772372-6 4.007645+6 1.011579-5 3.687306+6 1.047129-5 3.409447+6 1.078000-5 3.203394+6 1.078000-5 4.534441+6 1.083927-5 4.472779+6 1.085000-5 4.462518+6 1.087000-5 4.444130+6 1.100000-5 4.337118+6 1.122018-5 4.169536+6 1.148154-5 3.991781+6 1.161449-5 3.909211+6 1.190000-5 3.751152+6 1.202264-5 3.689216+6 1.230269-5 3.562151+6 1.244515-5 3.503252+6 1.273503-5 3.396942+6 1.290000-5 3.342728+6 1.318257-5 3.261354+6 1.333521-5 3.222160+6 1.364583-5 3.153465+6 1.380384-5 3.123390+6 1.410000-5 3.076297+6 1.428894-5 3.050758+6 1.450000-5 3.027900+6 1.480000-5 3.001904+6 1.496236-5 2.991882+6 1.531087-5 2.977640+6 1.550000-5 2.974481+6 1.584893-5 2.975575+6 1.592100-5 2.976233+6 1.603245-5 2.979390+6 1.659587-5 3.005974+6 1.717908-5 3.056254+6 1.737801-5 3.076922+6 1.778279-5 3.127329+6 1.819701-5 3.185918+6 1.840772-5 3.219656+6 1.862087-5 3.256585+6 1.905461-5 3.334244+6 1.980000-5 3.491527+6 2.018366-5 3.579629+6 2.070000-5 3.708541+6 2.150000-5 3.924211+6 2.162719-5 3.960992+6 2.290868-5 4.359103+6 2.317395-5 4.447289+6 2.426610-5 4.833238+6 2.510000-5 5.149137+6 2.510000-5 3.588650+7 2.520000-5 3.487422+7 2.560000-5 3.215458+7 2.600160-5 2.992038+7 2.630268-5 2.848523+7 2.650000-5 2.766655+7 2.690000-5 2.613607+7 2.750000-5 2.426694+7 2.754229-5 2.415416+7 2.818383-5 2.258172+7 2.900000-5 2.102154+7 2.917427-5 2.074650+7 2.985383-5 1.977161+7 3.054921-5 1.898421+7 3.090295-5 1.863416+7 3.150000-5 1.814428+7 3.230000-5 1.758879+7 3.311311-5 1.717590+7 3.350000-5 1.701021+7 3.388442-5 1.685883+7 3.400000-5 1.681709+7 3.507519-5 1.653370+7 3.570000-5 1.641653+7 3.630781-5 1.632392+7 3.715352-5 1.625856+7 3.758374-5 1.623948+7 3.879000-5 1.622254+7 3.879000-5 2.710404+7 3.900000-5 2.674536+7 3.910000-5 2.657887+7 3.935501-5 2.619934+7 3.940000-5 2.613486+7 3.981072-5 2.560822+7 4.000000-5 2.537627+7 4.073803-5 2.463071+7 4.120975-5 2.425001+7 4.150000-5 2.402843+7 4.220000-5 2.358152+7 4.229500-5 2.352354+7 4.330000-5 2.302194+7 4.365158-5 2.288410+7 4.450000-5 2.257967+7 4.466836-5 2.253056+7 4.500000-5 2.243241+7 4.598600-5 2.218519+7 4.623810-5 2.213653+7 4.731513-5 2.194784+7 4.800000-5 2.184271+7 4.900000-5 2.173783+7 5.069907-5 2.161532+7 5.128614-5 2.158131+7 5.188000-5 2.155999+7 5.400000-5 2.152542+7 5.432503-5 2.152191+7 5.500000-5 2.152123+7 5.623413-5 2.152344+7 5.754399-5 2.155510+7 5.821032-5 2.156552+7 5.956621-5 2.158170+7 6.025596-5 2.159819+7 6.088000-5 2.161653+7 6.088000-5 2.206459+7 6.095369-5 2.206605+7 6.165950-5 2.206568+7 6.290000-5 2.204775+7 6.400000-5 2.204187+7 6.450000-5 2.203043+7 6.500000-5 2.202036+7 6.531306-5 2.200899+7 6.683439-5 2.196630+7 6.800000-5 2.191705+7 6.918310-5 2.185255+7 7.000000-5 2.179396+7 7.079458-5 2.174158+7 7.161434-5 2.167607+7 7.244360-5 2.159313+7 7.328245-5 2.151299+7 7.413102-5 2.142057+7 7.500000-5 2.130894+7 7.585776-5 2.120364+7 7.673615-5 2.108305+7 7.762471-5 2.094394+7 7.852356-5 2.080798+7 7.943282-5 2.065658+7 8.000000-5 2.055023+7 8.150000-5 2.027828+7 8.222426-5 2.013759+7 8.413951-5 1.973276+7 8.511380-5 1.951806+7 8.609938-5 1.928514+7 8.709636-5 1.905595+7 8.810489-5 1.881290+7 9.015711-5 1.829464+7 9.120108-5 1.802394+7 9.332543-5 1.744902+7 9.440609-5 1.715063+7 9.500000-5 1.697738+7 9.549926-5 1.683406+7 9.660509-5 1.652406+7 9.772372-5 1.620224+7 9.800000-5 1.611891+7 1.000000-4 1.553523+7 1.010000-4 1.524122+7 1.011579-4 1.519275+7 1.030000-4 1.464445+7 1.040000-4 1.434558+7 1.059254-4 1.376257+7 1.060000-4 1.374068+7 1.071519-4 1.339468+7 1.090000-4 1.283795+7 1.100000-4 1.253855+7 1.122018-4 1.188616+7 1.128000-4 1.171085+7 1.135011-4 1.150099+7 1.150000-4 1.106933+7 1.161449-4 1.074349+7 1.180000-4 1.022081+7 1.190000-4 9.944778+6 1.205000-4 9.534043+6 1.216186-4 9.233239+6 1.220000-4 9.133553+6 1.240000-4 8.616354+6 1.244515-4 8.501398+6 1.250000-4 8.364372+6 1.260000-4 8.114479+6 1.273503-4 7.792027+6 1.280000-4 7.638774+6 1.296600-4 7.252660+6 1.296600-4 8.106365+6 1.299000-4 8.088860+6 1.303167-4 8.050195+6 1.308000-4 8.008280+6 1.314000-4 7.960448+6 1.315000-4 7.952681+6 1.320000-4 7.914101+6 1.327000-4 7.863830+6 1.333521-4 7.819873+6 1.335000-4 7.811245+6 1.340000-4 7.779042+6 1.343000-4 7.760792+6 1.350000-4 7.715989+6 1.358000-4 7.659968+6 1.365000-4 7.609938+6 1.373000-4 7.547258+6 1.380384-4 7.486065+6 1.387000-4 7.427830+6 1.390000-4 7.398404+6 1.396368-4 7.335569+6 1.400000-4 7.296047+6 1.403000-4 7.263119+6 1.412538-4 7.149719+6 1.423000-4 7.015821+6 1.424700-4 6.992117+6 1.424700-4 7.550381+6 1.428894-4 7.517382+6 1.430000-4 7.508653+6 1.433000-4 7.484429+6 1.436000-4 7.456770+6 1.440000-4 7.423275+6 1.445000-4 7.382512+6 1.458000-4 7.273156+6 1.462177-4 7.237533+6 1.465000-4 7.213569+6 1.471300-4 7.161726+6 1.472000-4 7.155901+6 1.480000-4 7.085671+6 1.485000-4 7.041316+6 1.487000-4 7.022820+6 1.496236-4 6.937018+6 1.500000-4 6.901493+6 1.505000-4 6.851419+6 1.513561-4 6.763848+6 1.520000-4 6.697168+6 1.528000-4 6.606051+6 1.535000-4 6.524742+6 1.540000-4 6.464243+6 1.545000-4 6.402032+6 1.555000-4 6.272356+6 1.560000-4 6.205175+6 1.565000-4 6.138465+6 1.566751-4 6.113953+6 1.570000-4 6.068965+6 1.575000-4 5.999272+6 1.580000-4 5.927265+6 1.585000-4 5.855526+6 1.595000-4 5.709874+6 1.600000-4 5.635857+6 1.610000-4 5.490215+6 1.620000-4 5.343351+6 1.621810-4 5.316623+6 1.627000-4 5.241053+6 1.640590-4 5.043053+6 1.645800-4 4.968982+6 1.650000-4 4.908517+6 1.670000-4 4.630379+6 1.678804-4 4.511851+6 1.690000-4 4.363547+6 1.698244-4 4.257271+6 1.720000-4 3.987827+6 1.740000-4 3.754838+6 1.757924-4 3.556396+6 1.760000-4 3.534304+6 1.778279-4 3.343471+6 1.780000-4 3.326204+6 1.798871-4 3.142012+6 1.800000-4 3.131302+6 1.835000-4 2.816285+6 1.840772-4 2.767936+6 1.865000-4 2.572185+6 1.880000-4 2.459125+6 1.900000-4 2.317212+6 1.915000-4 2.215758+6 1.927525-4 2.134883+6 1.940000-4 2.058218+6 1.955000-4 1.970079+6 1.972423-4 1.873219+6 1.980000-4 1.832757+6 1.995262-4 1.754152+6 2.018366-4 1.643012+6 2.020000-4 1.635583+6 2.060000-4 1.465313+6 2.065380-4 1.444179+6 2.089296-4 1.354716+6 2.100000-4 1.317617+6 2.113489-4 1.272648+6 2.150000-4 1.161341+6 2.162719-4 1.125706+6 2.190000-4 1.055394+6 2.220000-4 9.860922+5 2.238721-4 9.470135+5 2.240900-4 9.426130+5 2.250000-4 9.246151+5 2.270000-4 8.870426+5 2.280000-4 8.692155+5 2.290868-4 8.508838+5 2.307000-4 8.252434+5 2.308600-4 8.227769+5 2.323000-4 8.012248+5 2.330000-4 7.911288+5 2.340000-4 7.771121+5 2.344229-4 7.713536+5 2.350000-4 7.637702+5 2.358000-4 7.535198+5 2.373000-4 7.350244+5 2.380000-4 7.267865+5 2.390000-4 7.154107+5 2.400000-4 7.045277+5 2.407000-4 6.972366+5 2.423000-4 6.813603+5 2.426610-4 6.778975+5 2.440000-4 6.654263+5 2.445000-4 6.609214+5 2.454709-4 6.523938+5 2.458000-4 6.496874+5 2.473000-4 6.378693+5 2.483133-4 6.302785+5 2.490000-4 6.252245+5 2.505000-4 6.147285+5 2.511886-4 6.100681+5 2.515800-4 6.075899+5 2.515800-4 9.439099+5 2.520000-4 9.403035+5 2.530000-4 9.319131+5 2.540000-4 9.237574+5 2.540973-4 9.229810+5 2.550000-4 9.160021+5 2.560000-4 9.084852+5 2.570396-4 9.009044+5 2.573000-4 8.990913+5 2.580000-4 8.943161+5 2.600160-4 8.810675+5 2.620000-4 8.688109+5 2.630268-4 8.629003+5 2.640000-4 8.576341+5 2.645000-4 8.549948+5 2.650000-4 8.524507+5 2.680000-4 8.379702+5 2.691535-4 8.327292+5 2.722701-4 8.203922+5 2.730000-4 8.176707+5 2.754229-4 8.096371+5 2.786121-4 8.007528+5 2.818383-4 7.926216+5 2.850000-4 7.862537+5 2.851018-4 7.860531+5 2.884032-4 7.798501+5 2.917427-4 7.750820+5 2.951209-4 7.708245+5 2.980000-4 7.683256+5 2.985383-4 7.678778+5 3.000000-4 7.667455+5 3.019952-4 7.650239+5 3.030000-4 7.643418+5 3.054921-4 7.629916+5 3.090295-4 7.619803+5 3.100000-4 7.617297+5 3.126079-4 7.615084+5 3.157400-4 7.615674+5 3.162278-4 7.615687+5 3.200000-4 7.617312+5 3.221870-4 7.622433+5 3.235937-4 7.625486+5 3.240000-4 7.626001+5 3.273407-4 7.634500+5 3.311311-4 7.644547+5 3.320000-4 7.646310+5 3.349654-4 7.657920+5 3.350000-4 7.658036+5 3.378700-4 7.668565+5 3.378700-4 9.155771+5 3.381000-4 9.143804+5 3.388442-4 9.088740+5 3.390000-4 9.079301+5 3.395000-4 9.049809+5 3.403000-4 9.012467+5 3.410000-4 8.985991+5 3.422000-4 8.950848+5 3.427678-4 8.938030+5 3.433000-4 8.925804+5 3.448000-4 8.899634+5 3.467369-4 8.875277+5 3.470000-4 8.871969+5 3.500000-4 8.845994+5 3.507519-4 8.841054+5 3.548134-4 8.813495+5 3.550000-4 8.812256+5 3.589219-4 8.789958+5 3.600000-4 8.783573+5 3.630781-4 8.766786+5 3.650000-4 8.755354+5 3.672823-4 8.741886+5 3.700000-4 8.726349+5 3.715352-4 8.718535+5 3.758374-4 8.694750+5 3.801894-4 8.670645+5 3.820000-4 8.661119+5 3.845918-4 8.649303+5 3.850000-4 8.647251+5 3.890451-4 8.628162+5 3.935501-4 8.604924+5 3.981072-4 8.580920+5 4.073803-4 8.541377+5 4.100000-4 8.529319+5 4.107600-4 8.526358+5 4.115800-4 8.522665+5 4.115800-4 8.958553+5 4.120975-4 8.955745+5 4.168694-4 8.930951+5 4.216965-4 8.907546+5 4.265795-4 8.875912+5 4.315191-4 8.845848+5 4.365158-4 8.816894+5 4.518559-4 8.715177+5 4.623810-4 8.633882+5 4.677351-4 8.595220+5 4.786301-4 8.507581+5 4.841724-4 8.464113+5 4.850000-4 8.456502+5 5.011872-4 8.315341+5 5.069907-4 8.267955+5 5.128614-4 8.219232+5 5.150000-4 8.200575+5 5.188000-4 8.165846+5 5.248075-4 8.112683+5 5.308844-4 8.057746+5 5.309800-4 8.056878+5 5.309800-4 9.073526+5 5.312500-4 9.032379+5 5.316000-4 8.986822+5 5.319000-4 8.953370+5 5.323500-4 8.910493+5 5.328000-4 8.874888+5 5.333000-4 8.841439+5 5.337000-4 8.818647+5 5.342000-4 8.793765+5 5.348000-4 8.768141+5 5.354000-4 8.746303+5 5.361000-4 8.724553+5 5.370318-4 8.700280+5 5.380000-4 8.678659+5 5.395000-4 8.650932+5 5.400000-4 8.643180+5 5.407000-4 8.632444+5 5.423000-4 8.611253+5 5.440000-4 8.591721+5 5.466300-4 8.565946+5 5.477300-4 8.557069+5 5.477300-4 9.215280+5 5.477600-4 9.205655+5 5.482000-4 9.177707+5 5.486500-4 9.153748+5 5.490000-4 9.137597+5 5.491000-4 9.133224+5 5.495409-4 9.116723+5 5.497000-4 9.110790+5 5.500000-4 9.101558+5 5.504000-4 9.089207+5 5.511000-4 9.070949+5 5.515000-4 9.062216+5 5.518000-4 9.056362+5 5.530000-4 9.037601+5 5.535600-4 9.030652+5 5.541000-4 9.025086+5 5.550000-4 9.017903+5 5.553000-4 9.016109+5 5.565000-4 9.011214+5 5.568000-4 9.010789+5 5.585000-4 9.011270+5 5.590000-4 9.012933+5 5.600000-4 9.017713+5 5.615000-4 9.029417+5 5.623413-4 9.038713+5 5.630000-4 9.046694+5 5.645000-4 9.070134+5 5.650000-4 9.079775+5 5.660000-4 9.101085+5 5.678000-4 9.147953+5 5.696900-4 9.211715+5 5.700000-4 9.223675+5 5.710000-4 9.265193+5 5.720000-4 9.311833+5 5.730000-4 9.362547+5 5.735000-4 9.390715+5 5.754399-4 9.510736+5 5.770000-4 9.624966+5 5.780000-4 9.705195+5 5.785000-4 9.748596+5 5.800000-4 9.888979+5 5.815000-4 1.004419+6 5.821032-4 1.011138+6 5.829400-4 1.020880+6 5.843000-4 1.037946+6 5.860000-4 1.061471+6 5.880000-4 1.092537+6 5.888437-4 1.106893+6 5.900000-4 1.127044+6 5.920000-4 1.165423+6 5.950000-4 1.229816+6 5.978000-4 1.297746+6 5.985000-4 1.315655+6 6.000000-4 1.356282+6 6.025596-4 1.429947+6 6.030000-4 1.443504+6 6.050000-4 1.506375+6 6.080000-4 1.607092+6 6.090000-4 1.642345+6 6.095369-4 1.661640+6 6.100000-4 1.678621+6 6.115000-4 1.733843+6 6.130000-4 1.791679+6 6.140000-4 1.830332+6 6.162600-4 1.921754+6 6.165950-4 1.935351+6 6.190000-4 2.035995+6 6.200000-4 2.077639+6 6.220000-4 2.164984+6 6.237348-4 2.239930+6 6.250000-4 2.297104+6 6.280000-4 2.431167+6 6.309573-4 2.563925+6 6.310000-4 2.565916+6 6.335000-4 2.677241+6 6.343000-4 2.712391+6 6.370000-4 2.832064+6 6.382635-4 2.885478+6 6.400000-4 2.961163+6 6.430000-4 3.086237+6 6.456542-4 3.192057+6 6.460000-4 3.206187+6 6.492500-4 3.328880+6 6.500000-4 3.356872+6 6.515000-4 3.409785+6 6.540000-4 3.496143+6 6.550000-4 3.529067+6 6.580000-4 3.623636+6 6.590000-4 3.653469+6 6.606934-4 3.700934+6 6.630000-4 3.766686+6 6.670000-4 3.865510+6 6.685000-4 3.900874+6 6.700000-4 3.933215+6 6.740000-4 4.014741+6 6.760830-4 4.050375+6 6.780000-4 4.083507+6 6.800000-4 4.114878+6 6.839116-4 4.169552+6 6.860700-4 4.196349+6 6.890000-4 4.227890+6 6.930000-4 4.265359+6 6.950000-4 4.281070+6 7.000000-4 4.314138+6 7.079458-4 4.345440+6 7.080000-4 4.345654+6 7.161434-4 4.356014+6 7.190000-4 4.356278+6 7.244360-4 4.350732+6 7.260000-4 4.349124+6 7.328245-4 4.335863+6 7.350000-4 4.329696+6 7.413102-4 4.307312+6 7.500000-4 4.276885+6 7.521360-4 4.266394+6 7.585776-4 4.235091+6 7.673615-4 4.193043+6 7.852356-4 4.089029+6 7.943282-4 4.033713+6 8.000000-4 3.997238+6 8.035261-4 3.974837+6 8.128305-4 3.916726+6 8.200000-4 3.870457+6 8.222426-4 3.856145+6 8.317638-4 3.792921+6 8.413951-4 3.730636+6 8.609938-4 3.604243+6 8.709636-4 3.539735+6 8.810489-4 3.476414+6 9.015711-4 3.348681+6 9.120108-4 3.284141+6 9.225714-4 3.220709+6 9.262000-4 3.198757+6 9.262000-4 3.261668+6 9.265000-4 3.264414+6 9.275000-4 3.270291+6 9.285000-4 3.277587+6 9.292000-4 3.283412+6 9.300000-4 3.290711+6 9.308000-4 3.298525+6 9.315000-4 3.305718+6 9.322000-4 3.313142+6 9.330000-4 3.321762+6 9.337000-4 3.329289+6 9.345000-4 3.337728+6 9.353000-4 3.345846+6 9.362000-4 3.354426+6 9.370000-4 3.361428+6 9.378000-4 3.367766+6 9.388000-4 3.374645+6 9.396000-4 3.379269+6 9.407000-4 3.384349+6 9.418000-4 3.387984+6 9.430000-4 3.390423+6 9.440609-4 3.391152+6 9.445000-4 3.391499+6 9.458000-4 3.390914+6 9.473000-4 3.388851+6 9.490000-4 3.385099+6 9.515000-4 3.377696+6 9.549926-4 3.365118+6 9.550000-4 3.365090+6 9.600000-4 3.343928+6 9.660509-4 3.316653+6 9.700000-4 3.298006+6 9.750000-4 3.272745+6 9.772372-4 3.260811+6 9.830000-4 3.230388+6 9.867400-4 3.209792+6 9.867400-4 3.375812+6 1.000000-3 3.310023+6 1.011579-3 3.254757+6 1.015000-3 3.238300+6 1.023293-3 3.199394+6 1.035142-3 3.144297+6 1.038000-3 3.131288+6 1.040000-3 3.121789+6 1.047129-3 3.087741+6 1.071519-3 2.976321+6 1.083927-3 2.921142+6 1.090000-3 2.894031+6 1.100000-3 2.849446+6 1.110000-3 2.805752+6 1.122018-3 2.754099+6 1.130000-3 2.720237+6 1.135011-3 2.699102+6 1.161449-3 2.589686+6 1.188502-3 2.483325+6 1.190000-3 2.477650+6 1.202264-3 2.431240+6 1.216186-3 2.380235+6 1.230269-3 2.330351+6 1.244515-3 2.280555+6 1.258925-3 2.230930+6 1.272900-3 2.184431+6 1.272900-3 2.323130+6 1.273503-3 2.321078+6 1.288250-3 2.271387+6 1.303167-3 2.222845+6 1.318257-3 2.174305+6 1.333521-3 2.126252+6 1.348963-3 2.079330+6 1.364583-3 2.033543+6 1.380384-3 1.988469+6 1.396368-3 1.944222+6 1.412538-3 1.901214+6 1.428894-3 1.858743+6 1.450000-3 1.805695+6 1.462177-3 1.776167+6 1.470000-3 1.757442+6 1.496236-3 1.696601+6 1.500000-3 1.688152+6 1.513561-3 1.658242+6 1.531087-3 1.620812+6 1.548817-3 1.583773+6 1.566751-3 1.547256+6 1.570000-3 1.540685+6 1.584893-3 1.511005+6 1.603245-3 1.475642+6 1.609900-3 1.463125+6 1.609900-3 1.480182+6 1.640590-3 1.424516+6 1.650000-3 1.407899+6 1.659587-3 1.391273+6 1.678804-3 1.358395+6 1.698244-3 1.326388+6 1.717908-3 1.294983+6 1.730000-3 1.276248+6 1.770000-3 1.217185+6 1.778279-3 1.205447+6 1.788700-3 1.190907+6 1.788700-3 1.211262+6 1.798871-3 1.197218+6 1.800000-3 1.195674+6 1.806000-3 1.187510+6 1.819701-3 1.169015+6 1.832530-3 1.151814+6 1.840772-3 1.140974+6 1.862087-3 1.113699+6 1.883649-3 1.087140+6 1.905461-3 1.061291+6 1.927525-3 1.035959+6 1.949845-3 1.011224+6 1.950000-3 1.011056+6 1.972423-3 9.870858+5 2.000000-3 9.582643+5 2.041738-3 9.168244+5 2.065380-3 8.944956+5 2.089296-3 8.727786+5 2.137962-3 8.309179+5 2.150000-3 8.210399+5 2.151200-3 8.200558+5 2.162719-3 8.106524+5 2.187762-3 7.907516+5 2.220000-3 7.660323+5 2.238721-3 7.521395+5 2.264644-3 7.335202+5 2.290868-3 7.154101+5 2.300000-3 7.092674+5 2.344229-3 6.804250+5 2.350000-3 6.767941+5 2.371374-3 6.635531+5 2.426610-3 6.304720+5 2.454709-3 6.145931+5 2.511886-3 5.841016+5 2.540973-3 5.694775+5 2.570396-3 5.551562+5 2.600160-3 5.411644+5 2.630268-3 5.274846+5 2.650000-3 5.187960+5 2.660725-3 5.141362+5 2.691535-3 5.011017+5 2.722701-3 4.884138+5 2.754229-3 4.760486+5 2.818383-3 4.521190+5 2.851018-3 4.405803+5 2.861270-3 4.370467+5 2.884032-3 4.293556+5 2.900000-3 4.240565+5 2.917427-3 4.183469+5 2.951209-3 4.075970+5 3.019952-3 3.869645+5 3.090295-3 3.671587+5 3.126079-3 3.576594+5 3.162278-3 3.484277+5 3.198895-3 3.394118+5 3.235937-3 3.306492+5 3.311311-3 3.137212+5 3.388442-3 2.975297+5 3.427678-3 2.897599+5 3.467369-3 2.821975+5 3.507519-3 2.748472+5 3.548134-3 2.676751+5 3.589219-3 2.606693+5 3.600000-3 2.588646+5 3.630781-3 2.538082+5 3.715352-3 2.405816+5 3.758374-3 2.342404+5 3.845918-3 2.220952+5 3.890451-3 2.162519+5 3.900000-3 2.150287+5 3.935501-3 2.105674+5 3.981072-3 2.050009+5 4.000000-3 2.027262+5 4.120975-3 1.890035+5 4.168694-3 1.839733+5 4.248100-3 1.760304+5 4.248100-3 4.087414+5 4.315191-3 3.931558+5 4.365158-3 3.820786+5 4.415704-3 3.712802+5 4.420000-3 3.703793+5 4.466836-3 3.602096+5 4.492200-3 3.548622+5 4.492200-3 4.928422+5 4.500000-3 4.908129+5 4.550000-3 4.780865+5 4.623810-3 4.605825+5 4.731513-3 4.366994+5 4.786301-3 4.252515+5 4.841724-3 4.134972+5 4.850000-3 4.117734+5 4.897788-3 4.014599+5 4.900000-3 4.009907+5 4.954502-3 3.896639+5 5.011872-3 3.782179+5 5.069907-3 3.669715+5 5.103800-3 3.606191+5 5.103800-3 4.229537+5 5.128614-3 4.174235+5 5.188000-3 4.045888+5 5.248075-3 3.932410+5 5.308844-3 3.822249+5 5.370318-3 3.713968+5 5.432503-3 3.608624+5 5.495409-3 3.505445+5 5.500000-3 3.498080+5 5.688529-3 3.212065+5 5.754399-3 3.119943+5 5.821032-3 3.030560+5 5.888437-3 2.943191+5 5.956621-3 2.857918+5 6.025596-3 2.775185+5 6.095369-3 2.694858+5 6.237348-3 2.540231+5 6.309573-3 2.466415+5 6.350900-3 2.425545+5 6.350900-3 2.572225+5 6.382635-3 2.540913+5 6.531306-3 2.401353+5 6.606934-3 2.333669+5 6.683439-3 2.267969+5 6.732500-3 2.227012+5 6.732500-3 2.319323+5 6.795000-3 2.267611+5 6.800000-3 2.263547+5 6.918310-3 2.170427+5 6.920000-3 2.169128+5 7.079458-3 2.051078+5 7.161434-3 1.993852+5 7.244360-3 1.938231+5 7.300000-3 1.902095+5 7.328245-3 1.884102+5 7.413102-3 1.831597+5 7.498942-3 1.780648+5 7.500000-3 1.780033+5 7.585776-3 1.731154+5 7.762471-3 1.635806+5 7.800000-3 1.616551+5 7.852356-3 1.590043+5 8.000000-3 1.518631+5 8.035261-3 1.502253+5 8.128305-3 1.460027+5 8.150000-3 1.450398+5 8.317638-3 1.379158+5 8.413951-3 1.340347+5 8.511380-3 1.302658+5 8.609938-3 1.265951+5 8.709636-3 1.230346+5 8.810489-3 1.195530+5 8.912509-3 1.161467+5 8.944300-3 1.151142+5 9.000000-3 1.133358+5 9.015711-3 1.128411+5 9.120108-3 1.096285+5 9.225714-3 1.064943+5 9.332543-3 1.034550+5 9.660509-3 9.484519+4 9.885531-3 8.952499+4 1.000000-2 8.698293+4 1.011579-2 8.451743+4 1.023293-2 8.212269+4 1.035142-2 7.980036+4 1.047129-2 7.754057+4 1.059254-2 7.534914+4 1.071519-2 7.320485+4 1.083927-2 7.111022+4 1.096478-2 6.907722+4 1.100000-2 6.852194+4 1.109175-2 6.710135+4 1.120000-2 6.547005+4 1.122018-2 6.517088+4 1.148154-2 6.146590+4 1.150000-2 6.121586+4 1.161449-2 5.969148+4 1.174898-2 5.796995+4 1.190000-2 5.612172+4 1.202264-2 5.468080+4 1.216186-2 5.310559+4 1.230269-2 5.157582+4 1.244515-2 5.008937+4 1.273503-2 4.724484+4 1.288250-2 4.588745+4 1.318257-2 4.329500+4 1.333521-2 4.205164+4 1.348963-2 4.084472+4 1.350000-2 4.076549+4 1.364583-2 3.966173+4 1.396368-2 3.740161+4 1.400000-2 3.715511+4 1.412538-2 3.632099+4 1.428894-2 3.526759+4 1.445440-2 3.423943+4 1.450000-2 3.396357+4 1.462177-2 3.324243+4 1.479108-2 3.227597+4 1.500000-2 3.113421+4 1.513561-2 3.042406+4 1.531087-2 2.953980+4 1.548817-2 2.868231+4 1.566751-2 2.785115+4 1.584893-2 2.704471+4 1.603245-2 2.625898+4 1.621810-2 2.549578+4 1.659587-2 2.403854+4 1.678804-2 2.333995+4 1.698244-2 2.266121+4 1.717908-2 2.199888+4 1.737801-2 2.135637+4 1.757924-2 2.073326+4 1.778279-2 2.012867+4 1.798871-2 1.954125+4 1.800000-2 1.950975+4 1.819701-2 1.896966+4 1.840772-2 1.841520+4 1.850000-2 1.817934+4 1.854900-2 1.805549+4 1.862087-2 1.787597+4 1.883649-2 1.735131+4 1.950000-2 1.586924+4 1.972423-2 1.540714+4 1.992900-2 1.500160+4 1.992900-2 3.485008+4 1.995262-2 3.474656+4 2.000000-2 3.454021+4 2.018366-2 3.375661+4 2.030000-2 3.327256+4 2.041738-2 3.276911+4 2.065380-2 3.178695+4 2.089296-2 3.083439+4 2.113489-2 2.990873+4 2.120000-2 2.966623+4 2.162719-2 2.811086+4 2.187762-2 2.724866+4 2.190000-2 2.717333+4 2.213095-2 2.642439+4 2.238721-2 2.562617+4 2.290868-2 2.410263+4 2.300000-2 2.384891+4 2.317395-2 2.336500+4 2.344229-2 2.264460+4 2.371374-2 2.194617+4 2.398833-2 2.126938+4 2.426610-2 2.061388+4 2.511886-2 1.876605+4 2.524200-2 1.851763+4 2.524200-2 2.649292+4 2.555000-2 2.570754+4 2.570396-2 2.531085+4 2.600160-2 2.456763+4 2.604700-2 2.445696+4 2.604700-2 2.819504+4 2.630268-2 2.751531+4 2.650000-2 2.700657+4 2.660725-2 2.673905+4 2.691535-2 2.597901+4 2.722701-2 2.524131+4 2.725000-2 2.518806+4 2.754229-2 2.452916+4 2.760000-2 2.440332+4 2.786121-2 2.383646+4 2.818383-2 2.316196+4 2.851018-2 2.250711+4 2.884032-2 2.186757+4 2.900000-2 2.156752+4 2.917427-2 2.124367+4 2.951209-2 2.063456+4 3.000000-2 1.979814+4 3.019952-2 1.946698+4 3.054921-2 1.890503+4 3.126079-2 1.782950+4 3.162278-2 1.731538+4 3.198895-2 1.681654+4 3.235937-2 1.633246+4 3.273407-2 1.586262+4 3.311311-2 1.540489+4 3.388442-2 1.452885+4 3.427678-2 1.410982+4 3.467369-2 1.370286+4 3.507519-2 1.330796+4 3.548134-2 1.292212+4 3.589219-2 1.254781+4 3.600000-2 1.245212+4 3.650000-2 1.202151+4 3.715352-2 1.148707+4 3.758374-2 1.115308+4 3.801894-2 1.082897+4 3.845918-2 1.051254+4 3.890451-2 1.020367+4 3.900000-2 1.013910+4 3.935501-2 9.903792+3 3.981072-2 9.612913+3 4.027170-2 9.330830+3 4.073803-2 9.055258+3 4.120975-2 8.788010+3 4.168694-2 8.528761+3 4.265795-2 8.033554+3 4.315191-2 7.796783+3 4.365158-2 7.567113+3 4.466836-2 7.128365+3 4.518559-2 6.918862+3 4.623810-2 6.518143+3 4.677351-2 6.326757+3 4.731513-2 6.141131+3 4.786301-2 5.958810+3 4.800000-2 5.914403+3 4.954502-2 5.443814+3 5.011872-2 5.282279+3 5.069907-2 5.125654+3 5.128614-2 4.972724+3 5.188000-2 4.824465+3 5.248075-2 4.680726+3 5.300000-2 4.561263+3 5.370318-2 4.406049+3 5.559043-2 4.024439+3 5.623413-2 3.904893+3 5.688529-2 3.788931+3 5.754399-2 3.676382+3 5.821032-2 3.566822+3 5.888437-2 3.460571+3 5.956621-2 3.357159+3 6.025596-2 3.256398+3 6.237348-2 2.972298+3 6.382635-2 2.796951+3 6.456542-2 2.713283+3 6.531306-2 2.632165+3 6.760830-2 2.401944+3 6.918310-2 2.259721+3 7.000000-2 2.190519+3 7.161434-2 2.062214+3 7.328245-2 1.940414+3 7.413102-2 1.882125+3 7.673615-2 1.717039+3 7.762471-2 1.665360+3 7.852356-2 1.615265+3 8.035261-2 1.519039+3 8.128305-2 1.473095+3 8.222426-2 1.428533+3 8.317638-2 1.385344+3 8.413951-2 1.343477+3 8.511380-2 1.302887+3 8.609938-2 1.263543+3 8.709636-2 1.225411+3 9.015711-2 1.117900+3 9.332543-2 1.019913+3 9.440609-2 9.892322+2 9.500000-2 9.729160+2 9.660509-2 9.304141+2 9.772372-2 9.021789+2 1.000000-1 8.482949+2 1.023293-1 7.976538+2 1.035142-1 7.734933+2 1.047129-1 7.500695+2 1.071519-1 7.053646+2 1.096478-1 6.633658+2 1.122019-1 6.239077+2 1.135011-1 6.050830+2 1.150000-1 5.843215+2 1.161449-1 5.690478+2 1.174898-1 5.518056+2 1.188502-1 5.350936+2 1.230269-1 4.879345+2 1.273503-1 4.449876+2 1.288250-1 4.315410+2 1.318257-1 4.058745+2 1.333521-1 3.936266+2 1.348963-1 3.817503+2 1.356300-1 3.762814+2 1.356300-1 1.492962+3 1.380384-1 1.429870+3 1.390000-1 1.405731+3 1.396368-1 1.388328+3 1.400000-1 1.378535+3 1.412538-1 1.350099+3 1.425000-1 1.322630+3 1.445440-1 1.274794+3 1.462177-1 1.237398+3 1.470000-1 1.220441+3 1.500000-1 1.161463+3 1.531088-1 1.104512+3 1.540000-1 1.088912+3 1.548817-1 1.073225+3 1.566751-1 1.042277+3 1.603245-1 9.830432+2 1.678804-1 8.745212+2 1.698244-1 8.493363+2 1.717908-1 8.250936+2 1.737801-1 8.015443+2 1.778279-1 7.564527+2 1.819701-1 7.139067+2 1.862087-1 6.737888+2 1.883649-1 6.545868+2 1.927525-1 6.178149+2 1.949845-1 6.002138+2 1.972423-1 5.831185+2 2.018366-1 5.503815+2 2.041738-1 5.347110+2 2.089296-1 5.047011+2 2.113489-1 4.903395+2 2.162719-1 4.628490+2 2.187762-1 4.496893+2 2.213095-1 4.369052+2 2.264644-1 4.124205+2 2.290868-1 4.006990+2 2.300000-1 3.967270+2 2.317395-1 3.893185+2 2.398833-1 3.570944+2 2.426610-1 3.469589+2 2.454709-1 3.371123+2 2.483133-1 3.275460+2 2.511886-1 3.182534+2 2.540973-1 3.092312+2 2.570396-1 3.004657+2 2.600160-1 2.919499+2 2.630268-1 2.837565+2 2.691535-1 2.680585+2 2.722701-1 2.605441+2 2.754229-1 2.532407+2 2.786121-1 2.461429+2 2.818383-1 2.392444+2 2.851018-1 2.325402+2 2.884032-1 2.260243+2 2.917427-1 2.196920+2 2.951209-1 2.135416+2 2.985383-1 2.075663+2 3.000000-1 2.050823+2 3.019952-1 2.017588+2 3.054921-1 1.961141+2 3.126079-1 1.854641+2 3.162278-1 1.803585+2 3.198895-1 1.753988+2 3.235937-1 1.705763+2 3.273407-1 1.658884+2 3.349654-1 1.568964+2 3.388442-1 1.525882+2 3.427678-1 1.483995+2 3.467369-1 1.443259+2 3.507519-1 1.403645+2 3.548134-1 1.365130+2 3.589219-1 1.327675+2 3.630781-1 1.291802+2 3.672823-1 1.256902+2 3.715352-1 1.222983+2 3.801894-1 1.157972+2 3.845918-1 1.126796+2 3.890451-1 1.096462+2 3.935501-1 1.066954+2 3.981072-1 1.038256+2 4.000000-1 1.026659+2 4.027170-1 1.010332+2 4.073803-1 9.831603+1 4.120975-1 9.567285+1 4.168694-1 9.310087+1 4.216965-1 9.064058+1 4.265795-1 8.824810+1 4.365158-1 8.365406+1 4.415705-1 8.144775+1 4.466836-1 7.930402+1 4.518559-1 7.721686+1 4.570882-1 7.518485+1 4.623810-1 7.320646+1 4.677351-1 7.128046+1 4.731513-1 6.940655+1 4.786301-1 6.761526+1 4.841724-1 6.587352+1 4.897788-1 6.417674+1 4.954502-1 6.252381+1 5.011872-1 6.091379+1 5.128614-1 5.781731+1 5.233200-1 5.523844+1 5.248075-1 5.488521+1 5.308844-1 5.347552+1 5.370318-1 5.210266+1 5.432503-1 5.076663+1 5.495409-1 4.949043+1 5.559043-1 4.824645+1 5.623413-1 4.703400+1 5.688529-1 4.585213+1 5.754399-1 4.470000+1 5.821032-1 4.357686+1 5.888437-1 4.248207+1 5.956621-1 4.141486+1 6.000000-1 4.075745+1 6.025596-1 4.037691+1 6.095369-1 3.936579+1 6.165950-1 3.838128+1 6.237348-1 3.742175+1 6.309573-1 3.650457+1 6.382635-1 3.560990+1 6.456542-1 3.473720+1 6.531306-1 3.388594+1 6.606935-1 3.305559+1 6.683439-1 3.224568+1 6.760830-1 3.145715+1 6.839117-1 3.068816+1 6.918310-1 2.993814+1 6.998420-1 2.920812+1 7.079458-1 2.849592+1 7.161434-1 2.780111+1 7.244360-1 2.713690+1 7.328245-1 2.648895+1 7.413102-1 2.585648+1 7.498942-1 2.523946+1 7.585776-1 2.463795+1 7.673615-1 2.405107+1 7.852356-1 2.291900+1 7.943282-1 2.237312+1 8.035261-1 2.184029+1 8.222427-1 2.081465+1 8.317638-1 2.033020+1 8.413951-1 1.985704+1 8.511380-1 1.939553+1 8.609938-1 1.894502+1 8.709636-1 1.850503+1 8.810489-1 1.807591+1 8.912509-1 1.765676+1 9.015711-1 1.724735+1 9.120108-1 1.684743+1 9.225714-1 1.645680+1 9.332543-1 1.607637+1 9.440609-1 1.571309+1 9.549926-1 1.535803+1 9.660509-1 1.501186+1 9.772372-1 1.467372+1 9.885531-1 1.434322+1 1.000000+0 1.402058+1 1.011579+0 1.370526+1 1.023293+0 1.339702+1 1.035142+0 1.309573+1 1.047129+0 1.280178+1 1.059254+0 1.251447+1 1.071519+0 1.223392+1 1.083927+0 1.196011+1 1.096478+0 1.169243+1 1.109175+0 1.143074+1 1.122018+0 1.117492+1 1.135011+0 1.092832+1 1.148154+0 1.068776+1 1.161449+0 1.045255+1 1.174898+0 1.022255+1 1.188502+0 9.997709+0 1.202264+0 9.777940+0 1.216186+0 9.562992+0 1.230269+0 9.352785+0 1.244515+0 9.147342+0 1.250000+0 9.070070+0 1.258925+0 8.946462+0 1.273503+0 8.750917+0 1.288250+0 8.564345+0 1.303167+0 8.381761+0 1.318257+0 8.203173+0 1.333521+0 8.028400+0 1.348963+0 7.857456+0 1.364583+0 7.690260+0 1.380384+0 7.526631+0 1.396368+0 7.366514+0 1.412538+0 7.209795+0 1.428894+0 7.056611+0 1.445440+0 6.907124+0 1.462177+0 6.764542+0 1.479108+0 6.624903+0 1.500000+0 6.458762+0 1.513561+0 6.354355+0 1.531087+0 6.223362+0 1.584893+0 5.846379+0 1.621810+0 5.608561+0 1.659587+0 5.386006+0 1.678804+0 5.278205+0 1.698244+0 5.172583+0 1.717908+0 5.069115+0 1.737801+0 4.967786+0 1.757924+0 4.868539+0 1.798871+0 4.675982+0 1.840772+0 4.491576+0 1.862087+0 4.404197+0 1.883649+0 4.318518+0 1.905461+0 4.234505+0 1.927525+0 4.152242+0 1.949845+0 4.071591+0 1.972423+0 3.992536+0 1.995262+0 3.915074+0 2.000000+0 3.899312+0 2.065380+0 3.691754+0 2.089296+0 3.620410+0 2.113489+0 3.550445+0 2.137962+0 3.483594+0 2.162719+0 3.418001+0 2.187762+0 3.353740+0 2.213095+0 3.290702+0 2.238721+0 3.228873+0 2.264644+0 3.168255+0 2.344229+0 2.993281+0 2.371374+0 2.937318+0 2.398833+0 2.882403+0 2.426610+0 2.829904+0 2.454709+0 2.778361+0 2.483133+0 2.727828+0 2.511886+0 2.678220+0 2.540973+0 2.629522+0 2.570396+0 2.581730+0 2.600160+0 2.534844+0 2.691535+0 2.399340+0 2.722701+0 2.355947+0 2.754229+0 2.313337+0 2.786121+0 2.272575+0 2.818383+0 2.232530+0 2.851018+0 2.193246+0 2.884032+0 2.154656+0 2.917427+0 2.116754+0 2.951209+0 2.079532+0 3.000000+0 2.027683+0 3.126079+0 1.903227+0 3.162278+0 1.869914+0 3.198895+0 1.837185+0 3.235937+0 1.805838+0 3.273407+0 1.775027+0 3.311311+0 1.744741+0 3.349654+0 1.715017+0 3.388442+0 1.685804+0 3.427678+0 1.657101+0 3.467369+0 1.628907+0 3.630781+0 1.520930+0 3.672823+0 1.495158+0 3.715352+0 1.469822+0 3.758374+0 1.445555+0 3.801894+0 1.421689+0 3.845918+0 1.398217+0 3.890451+0 1.375166+0 3.935501+0 1.352500+0 4.000000+0 1.321141+0 4.027170+0 1.308308+0 4.265795+0 1.204174+0 4.315191+0 1.184428+0 4.365158+0 1.165007+0 4.415704+0 1.146395+0 4.466836+0 1.128080+0 4.518559+0 1.110059+0 4.570882+0 1.092351+0 4.623810+0 1.074930+0 4.677351+0 1.057793+0 4.731513+0 1.040942+0 5.011872+0 9.606918-1 5.069907+0 9.454502-1 5.128614+0 9.304506-1 5.188000+0 9.160698-1 5.248075+0 9.019110-1 5.308844+0 8.879714-1 5.370318+0 8.742673-1 5.432503+0 8.607778-1 5.495409+0 8.475010-1 5.559043+0 8.344394-1 5.956621+0 7.602446-1 6.025596+0 7.485739-1 6.095369+0 7.370826-1 6.165950+0 7.260522-1 6.237348+0 7.151869-1 6.309573+0 7.044842-1 6.382635+0 6.939572-1 6.456542+0 6.835899-1 6.531306+0 6.733810-1 6.606934+0 6.633326-1 7.079458+0 6.061555-1 7.161434+0 5.971456-1 7.244360+0 5.882697-1 7.328245+0 5.797415-1 7.498942+0 5.630541-1 7.585776+0 5.548914-1 7.673615+0 5.468586-1 7.762471+0 5.389437-1 7.852356+0 5.311462-1 7.943282+0 5.234672-1 8.511380+0 4.797003-1 8.609938+0 4.727701-1 8.709636+0 4.659613-1 8.810489+0 4.592505-1 8.912509+0 4.527968-1 9.120108+0 4.401601-1 9.225714+0 4.339747-1 9.332543+0 4.278845-1 9.440609+0 4.218811-1 9.549926+0 4.159639-1 9.660509+0 4.101339-1 1.047129+1 3.715753-1 1.059254+1 3.663713-1 1.071519+1 3.612559-1 1.083927+1 3.562115-1 1.100000+1 3.500177-1 1.122018+1 3.418480-1 1.135011+1 3.371898-1 1.148154+1 3.326015-1 1.161449+1 3.280766-1 1.174898+1 3.236147-1 1.188502+1 3.192168-1 1.300000+1 2.869664-1 1.303167+1 2.861382-1 1.318257+1 2.822521-1 1.333521+1 2.784298-1 1.364583+1 2.709394-1 1.380384+1 2.673585-1 1.428894+1 2.568973-1 1.445440+1 2.535065-1 1.462177+1 2.501623-1 1.479108+1 2.468643-1 1.621810+1 2.220127-1 1.678804+1 2.133525-1 1.717908+1 2.077823-1 1.737801+1 2.050519-1 1.798871+1 1.970743-1 1.800000+1 1.969356-1 1.819701+1 1.945447-1 1.840772+1 1.920476-1 1.862087+1 1.895828-1 1.883649+1 1.871552-1 2.000000+1 1.750177-1 2.018366+1 1.732371-1 2.162719+1 1.603539-1 2.264644+1 1.523205-1 2.290868+1 1.503758-1 2.344229+1 1.465606-1 2.371374+1 1.447192-1 2.400000+1 1.428248-1 2.426610+1 1.411075-1 2.454709+1 1.393377-1 2.630268+1 1.291803-1 2.660725+1 1.275609-1 2.754229+1 1.228235-1 2.818383+1 1.197677-1 3.054921+1 1.096588-1 3.126079+1 1.069305-1 3.162278+1 1.055919-1 3.198895+1 1.042969-1 3.235937+1 1.030178-1 3.349654+1 9.927904-2 3.388442+1 9.806433-2 3.507519+1 9.451086-2 4.000000+1 8.215922-2 4.265795+1 7.671364-2 4.415704+1 7.394058-2 4.570882+1 7.130465-2 4.731513+1 6.876271-2 4.786301+1 6.793646-2 5.069907+1 6.395184-2 5.128614+1 6.318391-2 5.308844+1 6.093593-2 5.821032+1 5.533431-2 6.382635+1 5.024765-2 6.683439+1 4.788245-2 7.079458+1 4.511653-2 7.413102+1 4.301930-2 7.585776+1 4.200835-2 8.035261+1 3.958377-2 8.128305+1 3.911599-2 8.222427+1 3.865405-2 8.413951+1 3.774655-2 9.120108+1 3.473932-2 9.885531+1 3.197168-2 1.071519+2 2.942454-2 1.083927+2 2.908091-2 1.202264+2 2.616337-2 1.333521+2 2.353854-2 1.348963+2 2.326379-2 1.396368+2 2.245875-2 1.513561+2 2.068700-2 1.531087+2 2.044573-2 1.548817+2 2.020726-2 1.566751+2 1.997160-2 1.659587+2 1.883510-2 1.757924+2 1.776327-2 1.883649+2 1.655729-2 1.905461+2 1.636569-2 2.213095+2 1.406764-2 2.660725+2 1.167733-2 2.691535+2 1.154224-2 2.786121+2 1.114629-2 3.019952+2 1.027442-2 3.054921+2 1.015560-2 3.090295+2 1.003815-2 3.126079+2 9.922065-3 3.311311+2 9.361752-3 3.507519+2 8.833081-3 3.758374+2 8.237936-3 3.801894+2 8.143107-3 4.415704+2 7.005235-3 5.308844+2 5.820636-3 5.370318+2 5.753649-3 5.559043+2 5.557285-3 6.025596+2 5.124775-3 6.095369+2 5.065815-3 6.165950+2 5.007534-3 6.237348+2 4.949924-3 6.606934+2 4.671793-3 6.998420+2 4.409290-3 7.498942+2 4.113683-3 1.496236+3 2.059372-3 1.513561+3 2.035761-3 1.757924+3 1.752343-3 4.216965+3 7.294436-4 4.265795+3 7.210807-4 4.415704+3 6.965632-4 4.786301+3 6.425487-4 4.841724+3 6.351827-4 4.897788+3 6.279013-4 4.954502+3 6.207033-4 5.248075+3 5.859377-4 5.559043+3 5.531193-4 5.956621+3 5.161545-4 2.371374+4 1.296210-4 2.398833+4 1.281370-4 1.000000+5 3.073032-5 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.710000-6 5.710000-6 9.020000-6 5.710000-6 9.020000-6 7.253439-6 9.772372-6 7.295831-6 1.078000-5 7.397010-6 1.078000-5 8.390058-6 1.202264-5 8.502771-6 1.603245-5 8.984681-6 1.819701-5 9.195071-6 2.070000-5 9.362515-6 2.317395-5 9.468812-6 2.510000-5 9.524418-6 2.510000-5 2.286515-5 2.818383-5 2.067823-5 3.150000-5 1.829266-5 3.350000-5 1.697517-5 3.507519-5 1.604622-5 3.630781-5 1.538670-5 3.758374-5 1.477552-5 3.879000-5 1.425850-5 3.879000-5 2.410720-5 3.940000-5 2.339573-5 4.000000-5 2.276112-5 4.073803-5 2.205427-5 4.150000-5 2.139056-5 4.229500-5 2.075428-5 4.365158-5 1.979236-5 4.500000-5 1.894718-5 4.623810-5 1.825042-5 4.800000-5 1.737197-5 4.900000-5 1.692696-5 5.128614-5 1.601103-5 5.400000-5 1.510040-5 5.623413-5 1.447051-5 5.821032-5 1.398712-5 6.088000-5 1.343215-5 6.088000-5 1.439567-5 6.450000-5 1.367116-5 6.683439-5 1.327413-5 7.000000-5 1.282663-5 7.328245-5 1.245714-5 7.673615-5 1.215090-5 8.000000-5 1.192690-5 8.413951-5 1.170981-5 8.810489-5 1.155466-5 9.440609-5 1.138927-5 1.011579-4 1.129039-5 1.090000-4 1.125299-5 1.180000-4 1.129417-5 1.273503-4 1.142574-5 1.296600-4 1.147264-5 1.296600-4 2.391929-5 1.299000-4 2.448058-5 1.303167-4 2.533622-5 1.315000-4 2.794675-5 1.350000-4 3.606068-5 1.365000-4 3.938240-5 1.373000-4 4.105337-5 1.387000-4 4.374213-5 1.400000-4 4.595299-5 1.412538-4 4.785412-5 1.424700-4 4.941312-5 1.424700-4 5.629361-5 1.462177-4 6.305080-5 1.487000-4 6.728579-5 1.513561-4 7.132581-5 1.535000-4 7.411021-5 1.555000-4 7.627798-5 1.580000-4 7.846280-5 1.610000-4 8.055010-5 1.650000-4 8.270093-5 1.740000-4 8.680047-5 1.972423-4 9.644348-5 2.100000-4 1.010969-4 2.162719-4 1.029642-4 2.240900-4 1.046830-4 2.308600-4 1.054273-4 2.373000-4 1.053861-4 2.440000-4 1.045385-4 2.505000-4 1.029645-4 2.515800-4 1.026333-4 2.515800-4 1.162786-4 2.600160-4 1.144673-4 2.722701-4 1.108029-4 2.917427-4 1.040593-4 3.054921-4 9.923729-5 3.200000-4 9.487683-5 3.350000-4 9.100619-5 3.378700-4 9.034542-5 3.378700-4 1.079280-4 3.403000-4 1.059163-4 3.433000-4 1.043189-4 3.470000-4 1.029117-4 3.589219-4 9.949947-5 3.715352-4 9.642067-5 3.850000-4 9.366390-5 3.981072-4 9.148724-5 4.115800-4 8.954286-5 4.115800-4 9.573031-5 4.265795-4 9.396154-5 4.365158-4 9.294628-5 4.518559-4 9.170350-5 4.677351-4 9.068662-5 4.850000-4 8.986823-5 5.188000-4 8.882567-5 5.309800-4 8.858683-5 5.309800-4 9.937717-5 5.319000-4 9.830458-5 5.333000-4 9.732359-5 5.354000-4 9.654476-5 5.395000-4 9.593643-5 5.477300-4 9.572418-5 5.477300-4 1.024108-4 5.491000-4 1.017524-4 5.518000-4 1.012713-4 5.568000-4 1.013090-4 5.623413-4 1.020822-4 5.660000-4 1.030171-4 5.710000-4 1.049596-4 5.754399-4 1.074514-4 5.800000-4 1.108685-4 5.843000-4 1.147895-4 5.900000-4 1.208790-4 6.030000-4 1.360340-4 6.100000-4 1.434792-4 6.165950-4 1.495023-4 6.237348-4 1.548613-4 6.310000-4 1.591873-4 6.400000-4 1.631901-4 6.500000-4 1.663046-4 6.630000-4 1.689321-4 6.800000-4 1.709129-4 7.000000-4 1.721514-4 7.413102-4 1.731135-4 8.413951-4 1.734461-4 9.262000-4 1.732908-4 9.262000-4 1.759906-4 9.330000-4 1.801624-4 9.388000-4 1.836395-4 9.445000-4 1.856219-4 9.515000-4 1.867247-4 9.750000-4 1.882330-4 9.867400-4 1.885402-4 9.867400-4 1.955128-4 1.071519-3 1.992945-4 1.190000-3 2.030653-4 1.272900-3 2.052991-4 1.272900-3 2.175623-4 1.609900-3 2.274711-4 1.609900-3 2.303579-4 1.788700-3 2.355340-4 1.788700-3 2.401668-4 2.187762-3 2.512011-4 2.660725-3 2.619153-4 3.162278-3 2.713827-4 3.758374-3 2.806140-4 4.248100-3 2.869870-4 4.248100-3 4.079896-4 4.492200-3 4.083020-4 4.492200-3 4.338093-4 5.011872-3 4.351878-4 5.103800-3 4.351963-4 5.103800-3 4.674655-4 5.308844-3 4.678184-4 6.350900-3 4.725193-4 6.350900-3 4.891626-4 6.732500-3 4.921433-4 6.732500-3 5.065060-4 8.912509-3 5.252333-4 1.150000-2 5.427592-4 1.462177-2 5.591849-4 1.862087-2 5.751357-4 1.992900-2 5.794707-4 1.992900-2 6.818563-4 2.524200-2 6.867718-4 2.524200-2 7.234554-4 2.604700-2 7.243128-4 2.604700-2 7.734847-4 3.548134-2 7.912960-4 4.786301-2 8.078423-4 6.531306-2 8.245303-4 9.015711-2 8.405652-4 1.230269-1 8.548002-4 1.356300-1 8.589653-4 1.356300-1 7.908817-4 3.235937-1 7.957506-4 9.120108-1 7.982869-4 1.000000+5 7.983589-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.710000-6 0.0 2.515800-4 0.0 2.515800-4 1.620298-9 2.573000-4 1.636258-9 2.630268-4 1.641257-9 2.691535-4 1.637686-9 2.786121-4 1.618894-9 2.851018-4 1.598017-9 2.917427-4 1.567604-9 3.030000-4 1.505007-9 3.378700-4 1.313612-9 3.378700-4 5.219069-9 3.381000-4 5.189299-9 3.390000-4 5.032796-9 3.395000-4 4.959547-9 3.403000-4 4.863536-9 3.410000-4 4.792844-9 3.422000-4 4.693872-9 3.433000-4 4.619861-9 3.448000-4 4.538015-9 3.470000-4 4.441139-9 3.507519-4 4.308285-9 3.600000-4 4.028547-9 3.715352-4 3.710620-9 3.801894-4 3.493940-9 3.890451-4 3.299299-9 3.981072-4 3.121161-9 4.100000-4 2.907156-9 4.115800-4 2.883100-9 4.115800-4 3.363622-9 4.216965-4 3.216036-9 4.365158-4 3.026739-9 4.518559-4 2.861068-9 4.677351-4 2.715346-9 4.850000-4 2.581161-9 5.011872-4 2.478205-9 5.188000-4 2.382737-9 5.309800-4 2.328515-9 5.309800-4 1.567443-8 5.312500-4 1.522389-8 5.316000-4 1.472616-8 5.319000-4 1.436242-8 5.323500-4 1.389982-8 5.328000-4 1.352114-8 5.333000-4 1.317161-8 5.337000-4 1.293882-8 5.342000-4 1.269069-8 5.348000-4 1.244357-8 5.354000-4 1.224213-8 5.361000-4 1.205241-8 5.370318-4 1.185703-8 5.380000-4 1.170479-8 5.395000-4 1.153993-8 5.407000-4 1.145279-8 5.423000-4 1.137849-8 5.440000-4 1.133613-8 5.466300-4 1.132482-8 5.477300-4 1.134367-8 5.477300-4 1.411610-8 5.477600-4 1.407991-8 5.486500-4 1.391991-8 5.497000-4 1.381220-8 5.515000-4 1.374208-8 5.535600-4 1.379377-8 5.553000-4 1.391894-8 5.568000-4 1.408206-8 5.590000-4 1.441183-8 5.600000-4 1.459637-8 5.615000-4 1.492550-8 5.630000-4 1.531656-8 5.650000-4 1.594814-8 5.660000-4 1.630629-8 5.678000-4 1.704287-8 5.700000-4 1.811174-8 5.710000-4 1.865714-8 5.730000-4 1.987424-8 5.754399-4 2.158816-8 5.770000-4 2.282998-8 5.785000-4 2.410849-8 5.800000-4 2.549061-8 5.821032-4 2.754857-8 5.843000-4 2.986838-8 5.860000-4 3.176374-8 5.900000-4 3.649429-8 5.978000-4 4.601500-8 6.000000-4 4.860261-8 6.030000-4 5.198305-8 6.050000-4 5.412207-8 6.090000-4 5.807534-8 6.130000-4 6.159918-8 6.165950-4 6.435862-8 6.200000-4 6.664739-8 6.237348-4 6.881805-8 6.280000-4 7.089651-8 6.335000-4 7.298217-8 6.382635-4 7.432804-8 6.430000-4 7.535946-8 6.500000-4 7.642404-8 6.590000-4 7.726144-8 6.740000-4 7.804710-8 6.950000-4 7.847458-8 7.521360-4 7.861106-8 8.709636-4 7.804695-8 9.262000-4 7.767221-8 9.262000-4 7.808736-8 9.407000-4 7.931212-8 9.550000-4 7.963923-8 9.867400-4 7.966504-8 9.867400-4 1.021466-7 1.040000-3 1.070665-7 1.090000-3 1.105876-7 1.130000-3 1.126246-7 1.272900-3 1.180653-7 1.272900-3 1.591781-7 1.609900-3 1.778511-7 1.609900-3 1.855337-7 1.788700-3 1.961520-7 1.788700-3 2.134145-7 2.000000-3 2.272982-7 2.290868-3 2.450603-7 2.660725-3 2.650924-7 3.019952-3 2.830347-7 3.507519-3 3.042456-7 3.935501-3 3.210678-7 4.248100-3 3.323835-7 4.248100-3 3.714436-7 4.492200-3 3.747625-7 4.492200-3 7.082735-5 4.786301-3 7.365985-5 4.850000-3 7.393866-5 5.103800-3 7.381290-5 5.103800-3 7.508701-5 5.888437-3 7.470402-5 6.350900-3 7.432266-5 6.350900-3 8.303986-5 6.732500-3 8.362175-5 6.732500-3 8.532316-5 8.609938-3 8.801353-5 1.035142-2 8.998171-5 1.190000-2 9.151103-5 1.479108-2 9.387635-5 1.850000-2 9.620620-5 1.992900-2 9.691954-5 1.992900-2 4.804547-3 2.065380-2 4.805334-3 2.426610-2 4.752203-3 2.524200-2 4.735027-3 2.524200-2 7.309466-3 2.604700-2 7.333253-3 2.604700-2 7.686941-3 3.054921-2 7.772387-3 3.845918-2 7.869943-3 5.188000-2 7.949711-3 7.413102-2 8.011826-3 1.230269-1 8.054867-3 1.356300-1 8.059952-3 1.356300-1 9.402340-2 1.603245-1 9.480122-2 2.317395-1 9.595891-2 3.801894-1 9.710278-2 6.309573-1 9.810665-2 1.035142+0 9.884749-2 1.000000+5 9.880785-2 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.710000-6 0.0 9.020000-6 3.310000-6 9.020000-6 1.766561-6 9.120108-6 1.867524-6 9.440609-6 2.169375-6 9.772372-6 2.476541-6 1.047129-5 3.109337-6 1.078000-5 3.382990-6 1.078000-5 2.389942-6 1.087000-5 2.478747-6 1.190000-5 3.410677-6 1.333521-5 4.677323-6 1.603245-5 7.047769-6 1.819701-5 9.001939-6 2.070000-5 1.133748-5 2.426610-5 1.476389-5 2.510000-5 1.557558-5 2.510000-5 2.234846-6 2.520000-5 2.416666-6 2.600160-5 3.763746-6 2.650000-5 4.607589-6 2.818383-5 7.505604-6 3.090295-5 1.219611-5 3.230000-5 1.455174-5 3.400000-5 1.733201-5 3.570000-5 1.999683-5 3.758374-5 2.280822-5 3.879000-5 2.453150-5 3.879000-5 1.468280-5 3.940000-5 1.600427-5 4.000000-5 1.723888-5 4.073803-5 1.868376-5 4.150000-5 2.010944-5 4.229500-5 2.154072-5 4.365158-5 2.385922-5 4.500000-5 2.605282-5 4.623810-5 2.798768-5 4.800000-5 3.062803-5 5.128614-5 3.527511-5 5.500000-5 4.019346-5 5.821032-5 4.422320-5 6.088000-5 4.744785-5 6.088000-5 4.648433-5 6.683439-5 5.356026-5 7.413102-5 6.175706-5 8.413951-5 7.242970-5 1.011579-4 8.986751-5 1.280000-4 1.165622-4 1.296600-4 1.181874-4 1.296600-4 1.057407-4 1.327000-4 1.019717-4 1.365000-4 9.711760-5 1.387000-4 9.495787-5 1.403000-4 9.385797-5 1.423000-4 9.307950-5 1.424700-4 9.305688-5 1.424700-4 8.617639-5 1.472000-4 8.242470-5 1.500000-4 8.067049-5 1.520000-4 7.978227-5 1.545000-4 7.925443-5 1.570000-4 7.933796-5 1.595000-4 7.992817-5 1.627000-4 8.116790-5 1.690000-4 8.442182-5 1.840772-4 9.303347-5 1.995262-4 1.022123-4 2.113489-4 1.098076-4 2.190000-4 1.153479-4 2.270000-4 1.219101-4 2.340000-4 1.285008-4 2.407000-4 1.356400-4 2.490000-4 1.456001-4 2.515800-4 1.489467-4 2.515800-4 1.352998-4 2.620000-4 1.480686-4 2.786121-4 1.699218-4 3.100000-4 2.121834-4 3.320000-4 2.402809-4 3.378700-4 2.475233-4 3.378700-4 2.299368-4 3.410000-4 2.355138-4 3.470000-4 2.440839-4 3.715352-4 2.751108-4 3.981072-4 3.066168-4 4.115800-4 3.220343-4 4.115800-4 3.158463-4 4.518559-4 3.601495-4 5.150000-4 4.260810-4 5.309800-4 4.423908-4 5.309800-4 4.315872-4 5.342000-4 4.372643-4 5.440000-4 4.482471-4 5.477300-4 4.519945-4 5.477300-4 4.453051-4 5.541000-4 4.528952-4 5.660000-4 4.629666-4 5.754399-4 4.679669-4 5.843000-4 4.694807-4 6.100000-4 4.664618-4 6.220000-4 4.682507-4 6.343000-4 4.734230-4 6.500000-4 4.836190-4 6.740000-4 5.035703-4 7.244360-4 5.514953-4 9.262000-4 7.528315-4 9.262000-4 7.501313-4 9.418000-4 7.568631-4 9.660509-4 7.781560-4 9.867400-4 7.981201-4 9.867400-4 7.911250-4 1.230269-3 1.026015-3 1.272900-3 1.067483-3 1.272900-3 1.055179-3 1.609900-3 1.382251-3 1.609900-3 1.379357-3 1.788700-3 1.552970-3 1.788700-3 1.548320-3 3.090295-3 2.819846-3 4.248100-3 3.960781-3 4.248100-3 3.839739-3 4.492200-3 4.083523-3 4.492200-3 3.987563-3 5.103800-3 4.594791-3 5.103800-3 4.561247-3 6.350900-3 5.804058-3 6.350900-3 5.778698-3 6.732500-3 6.156735-3 6.732500-3 6.140671-3 1.883649-2 1.816423-2 1.992900-2 1.925261-2 1.992900-2 1.444260-2 2.524200-2 1.982020-2 2.524200-2 1.720908-2 2.604700-2 1.798943-2 2.604700-2 1.758657-2 3.845918-2 2.979336-2 9.015711-2 8.128466-2 1.356300-1 1.267111-1 1.356300-1 4.081572-2 1.396368-1 4.468518-2 1.445440-1 4.940065-2 1.603245-1 6.473136-2 2.317395-1 1.349864-1 5.233200-1 4.247567-1 3.467369+0 3.367758+0 1.000000+5 9.999990+4 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.356300-1 1.116681+3 1.390000-1 1.053218+3 1.400000-1 1.032672+3 1.425000-1 9.926820+2 1.470000-1 9.167280+2 1.540000-1 8.205640+2 1.698244-1 6.423629+2 2.600160-1 2.239585+2 3.054921-1 1.510986+2 3.589219-1 1.026952+2 4.168694-1 7.226775+1 4.731513-1 5.403731+1 5.432503-1 3.965081+1 6.237348-1 2.931166+1 7.161434-1 2.183165+1 8.222427-1 1.638498+1 9.332543-1 1.268295+1 1.122018+0 8.828402+0 1.273503+0 6.912823+0 1.445440+0 5.454250+0 1.621810+0 4.427890+0 1.840772+0 3.546060+0 2.113489+0 2.803126+0 2.398833+0 2.275663+0 2.754229+0 1.826355+0 3.198895+0 1.450397+0 3.715352+0 1.160373+0 4.365158+0 9.197340-1 5.128614+0 7.345659-1 6.095369+0 5.819077-1 7.244360+0 4.644197-1 8.810489+0 3.625663-1 1.083927+1 2.812197-1 1.364583+1 2.138964-1 1.798871+1 1.555808-1 2.344229+1 1.157106-1 3.162278+1 8.336002-2 4.415704+1 5.837137-2 6.683439+1 3.779992-2 1.071519+2 2.322859-2 1.883649+2 1.307182-2 3.758374+2 6.503969-3 7.498942+2 3.247788-3 5.956621+3 4.075292-4 1.000000+5 2.426400-5 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.356300-1 7.679400-4 1.000000+5 7.679400-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.356300-1 1.229900-1 1.000000+5 1.229900-1 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.356300-1 1.187206-2 1.000000+5 9.999988+4 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.604700-2 3.738078+3 2.650000-2 3.616400+3 2.725000-2 3.452720+3 2.760000-2 3.385360+3 2.851018-2 3.190697+3 3.000000-2 2.934080+3 3.650000-2 2.058740+3 4.027170-2 1.709710+3 5.069907-2 1.084880+3 5.754399-2 8.353912+2 6.531306-2 6.406471+2 7.852356-2 4.300511+2 9.500000-2 2.814320+2 1.150000-1 1.820636+2 1.412538-1 1.128957+2 3.054921-1 1.829196+1 3.715352-1 1.163297+1 4.415705-1 7.856030+0 5.128614-1 5.627647+0 5.956621-1 4.063080+0 6.918310-1 2.954522+0 8.035261-1 2.164429+0 9.225714-1 1.634643+0 1.071519+0 1.216589+0 1.258925+0 8.899201-1 1.428894+0 7.016939-1 1.584893+0 5.811062-1 1.798871+0 4.648239-1 2.065380+0 3.669685-1 2.344229+0 2.975332-1 2.691535+0 2.385072-1 3.126079+0 1.892089-1 3.630781+0 1.512078-1 4.265795+0 1.197157-1 5.011872+0 9.550922-2 5.956621+0 7.558275-2 7.079458+0 6.026461-2 8.609938+0 4.700347-2 1.059254+1 3.642590-2 1.318257+1 2.806083-2 1.678804+1 2.120516-2 2.162719+1 1.593668-2 2.754229+1 1.221161-2 3.507519+1 9.392821-3 5.308844+1 6.055792-3 8.413951+1 3.751278-3 1.566751+2 1.984957-3 3.126079+2 9.865422-4 6.237348+2 4.921878-4 4.954502+3 6.173209-5 1.000000+5 3.056500-6 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.604700-2 1.095200-3 1.000000+5 1.095200-3 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.604700-2 1.000100-2 1.000000+5 1.000100-2 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.604700-2 1.495080-2 1.000000+5 9.999999+4 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.524200-2 7.975282+3 2.555000-2 7.791600+3 2.660725-2 7.103200+3 2.754229-2 6.529700+3 2.851018-2 6.023700+3 3.507519-2 3.607600+3 3.845918-2 2.855300+3 4.731513-2 1.666000+3 5.956621-2 9.011900+2 7.413102-2 4.971600+2 9.660509-2 2.395900+2 1.819701-1 4.122400+1 2.300000-1 2.164100+1 2.691535-1 1.412669+1 3.162278-1 9.183839+0 3.672823-1 6.200675+0 4.216965-1 4.346214+0 4.786301-1 3.159682+0 5.432503-1 2.314110+0 6.095369-1 1.755875+0 6.683439-1 1.415996+0 7.498942-1 1.090282+0 8.413951-1 8.453477-1 9.549926-1 6.432487-1 1.035142+0 5.443355-1 1.135011+0 4.530884-1 1.258925+0 3.713840-1 1.412538+0 3.001058-1 1.659587+0 2.247134-1 1.905461+0 1.766205-1 2.162719+0 1.425873-1 2.454709+0 1.159236-1 2.818383+0 9.317836-2 3.311311+0 7.282296-2 3.845918+0 5.836033-2 4.518559+0 4.633320-2 5.308844+0 3.706255-2 6.309573+0 2.940585-2 7.585776+0 2.315899-2 9.225714+0 1.811270-2 1.135011+1 1.407312-2 1.428894+1 1.072218-2 1.862087+1 7.914715-3 2.400000+1 5.964000-3 3.235937+1 4.300874-3 4.731513+1 2.870147-3 7.413102+1 1.795439-3 1.333521+2 9.822360-4 2.660725+2 4.874964-4 5.308844+2 2.430104-4 4.216965+3 3.045676-5 1.000000+5 1.283400-6 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.524200-2 8.086300-4 1.000000+5 8.086300-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.524200-2 1.328700-2 1.000000+5 1.328700-2 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.524200-2 1.114637-2 1.000000+5 9.999999+4 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 1.992900-2 1.984848+4 2.030000-2 1.896824+4 2.120000-2 1.687792+4 2.190000-2 1.541676+4 2.300000-2 1.349740+4 2.900000-2 7.029240+3 3.273407-2 4.953746+3 3.801894-2 3.200632+3 4.731513-2 1.669788+3 5.888437-2 8.611532+2 7.328245-2 4.401498+2 9.660509-2 1.867791+2 1.678804-1 3.331199+1 2.113489-1 1.636850+1 2.511886-1 9.673494+0 2.917427-1 6.185367+0 3.349654-1 4.120747+0 3.801894-1 2.859945+0 4.265795-1 2.065597+0 4.786301-1 1.502413+0 5.370318-1 1.101083+0 6.000000-1 8.225179-1 6.683439-1 6.243112-1 7.413102-1 4.824633-1 8.709636-1 3.262456-1 9.332543-1 2.777239-1 9.885531-1 2.443023-1 1.059254+0 2.111512-1 1.135011+0 1.837188-1 1.230269+0 1.572825-1 1.348963+0 1.326710-1 1.737801+0 8.451976-2 1.995262+0 6.655334-2 2.264644+0 5.385764-2 2.600160+0 4.308909-2 3.000000+0 3.447000-2 3.467369+0 2.769077-2 4.027170+0 2.223965-2 4.731513+0 1.769499-2 5.559043+0 1.418440-2 6.606934+0 1.127652-2 7.943282+0 8.898028-3 9.660509+0 6.971738-3 1.188502+1 5.426320-3 1.479108+1 4.196725-3 1.883649+1 3.182692-3 2.454709+1 2.369593-3 3.388442+1 1.667325-3 5.128614+1 1.074141-3 8.128305+1 6.649489-4 1.513561+2 3.516758-4 3.019952+2 1.747468-4 6.025596+2 8.716260-5 4.786301+3 1.093140-5 1.000000+5 5.228400-7 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 1.992900-2 7.592400-4 1.000000+5 7.592400-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.992900-2 8.362600-3 1.000000+5 8.362600-3 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 1.992900-2 1.080716-2 1.000000+5 9.999999+4 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 6.732500-3 9.231060+3 7.328245-3 8.279971+3 7.585776-3 7.940215+3 8.150000-3 7.183740+3 8.810489-3 6.482254+3 9.332543-3 5.965343+3 1.023293-2 5.188612+3 1.100000-2 4.662120+3 1.190000-2 4.112260+3 1.428894-2 3.050092+3 1.584893-2 2.551747+3 1.850000-2 1.943576+3 2.187762-2 1.428549+3 2.426610-2 1.175271+3 2.851018-2 8.609497+2 3.388442-2 6.106128+2 4.027170-2 4.290252+2 4.800000-2 2.969240+2 5.688529-2 2.062157+2 6.760830-2 1.412158+2 8.035261-2 9.597699+1 9.660509-2 6.309618+1 1.188502-1 3.904804+1 1.531088-1 2.153505+1 2.630268-1 5.972981+0 3.235937-1 3.677420+0 3.935501-1 2.343352+0 4.677351-1 1.586181+0 5.370318-1 1.168410+0 6.237348-1 8.450357-1 7.244360-1 6.155666-1 8.511380-1 4.411647-1 9.660509-1 3.418510-1 1.188502+0 2.278221-1 1.333521+0 1.829138-1 1.513561+0 1.447154-1 1.717908+0 1.154519-1 1.972423+0 9.093204-2 2.238721+0 7.354068-2 2.570396+0 5.879838-2 2.951209+0 4.736313-2 3.427678+0 3.774313-2 4.000000+0 3.009000-2 4.677351+0 2.409245-2 5.495409+0 1.930222-2 6.531306+0 1.533807-2 7.852356+0 1.209705-2 9.549926+0 9.473935-3 1.174898+1 7.370701-3 1.462177+1 5.698193-3 1.862087+1 4.319850-3 2.426610+1 3.215624-3 3.349654+1 2.261633-3 5.069907+1 1.456684-3 8.128305+1 8.909158-4 1.513561+2 4.711771-4 3.019952+2 2.341378-4 6.025596+2 1.167796-4 4.786301+3 1.464533-5 1.000000+5 7.005100-7 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 6.732500-3 8.530100-4 1.000000+5 8.530100-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.732500-3 1.263700-4 1.000000+5 1.263700-4 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.732500-3 5.753120-3 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 6.350900-3 1.466800+4 6.531306-3 1.434303+4 6.920000-3 1.354840+4 7.300000-3 1.274256+4 8.035261-3 1.134997+4 8.511380-3 1.049985+4 9.332543-3 9.183828+3 1.035142-2 7.854357+3 1.109175-2 7.036784+3 1.318257-2 5.235944+3 1.412538-2 4.618582+3 1.659587-2 3.400329+3 1.800000-2 2.895180+3 2.089296-2 2.132817+3 2.300000-2 1.738956+3 2.650000-2 1.276690+3 3.054921-2 9.261476+2 3.427678-2 7.094782+2 3.900000-2 5.228540+2 4.518559-2 3.661495+2 5.300000-2 2.467340+2 6.237348-2 1.635409+2 7.413102-2 1.048954+2 9.015711-2 6.289018+1 1.135011-1 3.415297+1 2.089296-1 6.657584+0 2.691535-1 3.418667+0 2.951209-1 2.671204+0 3.507519-1 1.706946+0 4.073803-1 1.166192+0 4.677351-1 8.262846-1 5.308844-1 6.066568-1 6.025596-1 4.487117-1 6.760830-1 3.436392-1 7.585776-1 2.649962-1 8.709636-1 1.955238-1 9.549926-1 1.608311-1 1.035142+0 1.365247-1 1.174898+0 1.063572-1 1.303167+0 8.729169-2 1.479108+0 6.915230-2 1.698244+0 5.401580-2 1.949845+0 4.250595-2 2.213095+0 3.435559-2 2.540973+0 2.745101-2 2.917427+0 2.209941-2 3.388442+0 1.760110-2 3.935501+0 1.412107-2 4.623810+0 1.122348-2 5.432503+0 8.987001-3 6.456542+0 7.137386-3 7.762471+0 5.626609-3 9.440609+0 4.404573-3 1.161449+1 3.425297-3 1.445440+1 2.646931-3 1.862087+1 1.980134-3 2.426610+1 1.473963-3 3.349654+1 1.036729-3 5.069907+1 6.676927-4 8.035261+1 4.132592-4 1.513561+2 2.159739-4 3.019952+2 1.073194-4 6.025596+2 5.353067-5 4.786301+3 6.713182-6 1.000000+5 3.211000-7 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 6.350900-3 7.643800-4 1.000000+5 7.643800-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.350900-3 2.271900-4 1.000000+5 2.271900-4 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.350900-3 5.359330-3 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 5.103800-3 6.233465+4 5.188000-3 5.909938+4 5.500000-3 5.376120+4 5.888437-3 4.777111+4 6.531306-3 3.972996+4 7.079458-3 3.412205+4 8.128305-3 2.609391+4 8.810489-3 2.222372+4 1.059254-2 1.516915+4 1.150000-2 1.268524+4 1.350000-2 8.879800+3 1.479108-2 7.194093+3 1.698244-2 5.199626+3 1.950000-2 3.717656+3 2.162719-2 2.876910+3 2.511886-2 1.968075+3 2.917427-2 1.333007+3 3.311311-2 9.516180+2 3.715352-2 6.968688+2 4.265795-2 4.763384+2 4.954502-2 3.130653+2 5.754399-2 2.042895+2 6.760830-2 1.280915+2 8.128305-2 7.452937+1 1.000000-1 4.019640+1 1.318257-1 1.748956+1 1.949845-1 5.360843+0 2.483133-1 2.605151+0 2.917427-1 1.621329+0 3.388442-1 1.051509+0 3.890451-1 7.104465-1 4.415705-1 4.997015-1 4.954502-1 3.654157-1 5.559043-1 2.691459-1 6.165950-1 2.057640-1 6.839117-1 1.583906-1 7.585776-1 1.227468-1 8.709636-1 8.793496-2 9.332543-1 7.489697-2 9.885531-1 6.590576-2 1.059254+0 5.697647-2 1.148154+0 4.846994-2 1.250000+0 4.119250-2 1.380384+0 3.433960-2 1.757924+0 2.234536-2 2.000000+0 1.788288-2 2.264644+0 1.453064-2 2.600160+0 1.162522-2 3.000000+0 9.299500-3 3.467369+0 7.470601-3 4.027170+0 5.999995-3 4.731513+0 4.773916-3 5.559043+0 3.826674-3 6.606934+0 3.042245-3 7.943282+0 2.400512-3 9.660509+0 1.880894-3 1.188502+1 1.463982-3 1.479108+1 1.132192-3 1.883649+1 8.586567-4 2.454709+1 6.392810-4 3.388442+1 4.498047-4 5.128614+1 2.897812-4 8.222427+1 1.772708-4 1.531087+2 9.377242-5 3.054921+2 4.659967-5 6.095369+2 2.324494-5 4.841724+3 2.915240-6 1.000000+5 1.410500-7 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 5.103800-3 6.541500-4 1.000000+5 6.541500-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 5.103800-3 8.245800-5 1.000000+5 8.245800-5 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 5.103800-3 4.367192-3 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 4.492200-3 1.379800+5 4.786301-3 1.238388+5 4.850000-3 1.203691+5 5.308844-3 9.485865+4 5.821032-3 7.369380+4 6.683439-3 4.991604+4 7.585776-3 3.464554+4 8.317638-3 2.643170+4 9.120108-3 2.006236+4 1.120000-2 1.065668+4 1.230269-2 7.923328+3 1.428894-2 4.911808+3 1.678804-2 2.900226+3 1.862087-2 2.056607+3 2.162719-2 1.242887+3 2.570396-2 6.880963+2 3.019952-2 3.928456+2 3.589219-2 2.137128+2 4.315191-2 1.107221+2 5.248075-2 5.465544+1 6.760830-2 2.171527+1 1.288250-1 2.042959+0 1.566751-1 1.003295+0 1.862087-1 5.395530-1 2.187762-1 3.045455-1 2.511886-1 1.877722-1 2.851018-1 1.213409-1 3.235937-1 7.899603-2 3.630781-1 5.386208-2 4.073803-1 3.700398-2 4.518559-1 2.658149-2 5.011872-1 1.923187-2 5.495409-1 1.451229-2 6.025596-1 1.102983-2 6.531306-1 8.747192-3 7.161434-1 6.760051-3 7.943282-1 5.100189-3 8.609938-1 4.082433-3 9.120108-1 3.503853-3 9.549926-1 3.118784-3 1.000000+0 2.793962-3 1.047129+0 2.520371-3 1.109175+0 2.232227-3 1.174898+0 1.991026-3 1.258925+0 1.748836-3 1.364583+0 1.514586-3 1.531087+0 1.241452-3 1.862087+0 8.791012-4 2.089296+0 7.222045-4 2.371374+0 5.860053-4 2.722701+0 4.701011-4 3.162278+0 3.731748-4 3.672823+0 2.983891-4 4.315191+0 2.363782-4 5.069907+0 1.886873-4 6.025596+0 1.493915-4 7.161434+0 1.191712-4 8.709636+0 9.299361-5 1.071519+1 7.209837-5 1.333521+1 5.556218-5 1.737801+1 4.091324-5 2.290868+1 3.000887-5 3.054921+1 2.188185-5 4.000000+1 1.639200-5 5.821032+1 1.103746-5 9.120108+1 6.929774-6 1.659587+2 3.757761-6 3.311311+2 1.868450-6 6.606934+2 9.323971-7 5.248075+3 1.169610-7 1.000000+5 6.134700-9 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 4.492200-3 4.994100-4 1.000000+5 4.994100-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.492200-3 2.520200-4 1.000000+5 2.520200-4 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.492200-3 3.740770-3 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 4.248100-3 2.327110+5 4.420000-3 2.099513+5 4.550000-3 1.933074+5 5.011872-3 1.487079+5 5.432503-3 1.186692+5 6.095369-3 8.533111+4 6.918310-3 5.895823+4 7.800000-3 4.120134+4 8.709636-3 2.939236+4 1.071519-2 1.531003+4 1.202264-2 1.054866+4 1.350000-2 7.221840+3 1.584893-2 4.226080+3 1.778279-2 2.856928+3 2.018366-2 1.846837+3 2.344229-2 1.093485+3 2.754229-2 6.161365+2 3.273407-2 3.300522+2 3.890451-2 1.752093+2 4.623810-2 9.230014+1 5.623413-2 4.430285+1 7.328245-2 1.625438+1 1.188502-1 2.586997+0 1.445440-1 1.237619+0 1.698244-1 6.789167-1 1.972423-1 3.916205-1 2.264644-1 2.374131-1 2.540973-1 1.574988-1 2.851018-1 1.052278-1 3.162278-1 7.370494-2 3.507519-1 5.199651-2 3.890451-1 3.696387-2 4.265795-1 2.748339-2 4.677351-1 2.057525-2 5.128614-1 1.551341-2 5.623413-1 1.178429-2 6.095369-1 9.328086-3 6.606935-1 7.438690-3 7.244360-1 5.787756-3 8.609938-1 3.664959-3 9.120108-1 3.165016-3 9.660509-1 2.753373-3 1.011579+0 2.478987-3 1.071519+0 2.190396-3 1.135011+0 1.947984-3 1.216186+0 1.704394-3 1.318257+0 1.469643-3 1.883649+0 7.840570-4 2.113489+0 6.445854-4 2.398833+0 5.233028-4 2.754229+0 4.199997-4 3.198895+0 3.335582-4 3.715352+0 2.668661-4 4.365158+0 2.115227-4 5.128614+0 1.689341-4 6.095369+0 1.338264-4 7.328245+0 1.052389-4 8.912509+0 8.219518-5 1.100000+1 6.353600-5 1.380384+1 4.853180-5 1.819701+1 3.531673-5 2.371374+1 2.627534-5 3.198895+1 1.893325-5 4.570882+1 1.294255-5 7.079458+1 8.188154-6 1.202264+2 4.747623-6 2.213095+2 2.553484-6 4.415704+2 1.271626-6 1.757924+3 3.180132-7 1.000000+5 5.580100-9 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 4.248100-3 4.995200-4 1.000000+5 4.995200-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.248100-3 4.009900-7 1.000000+5 4.009900-7 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.248100-3 3.748179-3 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.788700-3 2.035476+4 2.065380-3 1.750653+4 2.162719-3 1.672247+4 2.300000-3 1.561070+4 2.818383-3 1.224081+4 3.162278-3 1.061599+4 3.427678-3 9.531132+3 4.168694-3 7.259959+3 4.623810-3 6.237562+3 5.432503-3 4.891385+3 6.309573-3 3.865690+3 7.161434-3 3.151554+3 8.511380-3 2.363576+3 1.023293-2 1.721370+3 1.216186-2 1.267209+3 1.445440-2 9.250312+2 1.737801-2 6.553769+2 2.065380-2 4.705370+2 2.426610-2 3.429991+2 2.851018-2 2.483983+2 3.388442-2 1.745161+2 4.027170-2 1.216802+2 4.800000-2 8.369540+1 5.754399-2 5.642301+1 6.918310-2 3.750164+1 8.413951-2 2.409724+1 1.035142-1 1.495388+1 1.333521-1 8.275115+0 1.678804-1 4.801587+0 2.570396-1 1.747906+0 3.198895-1 1.046845+0 3.890451-1 6.667363-1 4.623810-1 4.510592-1 5.308844-1 3.320581-1 6.165950-1 2.400068-1 7.161434-1 1.747155-1 8.413951-1 1.251180-1 9.549926-1 9.687630-2 1.161449+0 6.597934-2 1.303167+0 5.290543-2 1.479108+0 4.180031-2 1.678804+0 3.329912-2 1.927525+0 2.619444-2 2.187762+0 2.115946-2 2.511886+0 1.689568-2 2.884032+0 1.359355-2 3.349654+0 1.082033-2 3.890451+0 8.676018-3 4.570882+0 6.891795-3 5.370318+0 5.515779-3 6.382635+0 4.378466-3 7.673615+0 3.449968-3 9.332543+0 2.699516-3 1.148154+1 2.098428-3 1.445440+1 1.599407-3 1.862087+1 1.196522-3 2.400000+1 9.015900-4 3.235937+1 6.501732-4 4.731513+1 4.338924-4 7.413102+1 2.714198-4 1.348963+2 1.467505-4 2.691535+2 7.284284-5 5.370318+2 3.631290-5 4.265795+3 4.551525-6 1.000000+5 1.940200-7 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.788700-3 5.112200-4 1.000000+5 5.112200-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.788700-3 1.223400-6 1.000000+5 1.223400-6 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.788700-3 1.276257-3 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.609900-3 1.705690+4 1.840772-3 1.651522+4 1.950000-3 1.635388+4 2.089296-3 1.597469+4 2.238721-3 1.547892+4 2.454709-3 1.471391+4 2.600160-3 1.417758+4 2.900000-3 1.305742+4 3.090295-3 1.235244+4 3.427678-3 1.117078+4 3.715352-3 1.028205+4 4.000000-3 9.464300+3 4.500000-3 8.203340+3 4.900000-3 7.356480+3 5.370318-3 6.491410+3 6.025596-3 5.508548+3 6.606934-3 4.795253+3 7.500000-3 3.929380+3 8.317638-3 3.313741+3 9.332543-3 2.723430+3 1.059254-2 2.175050+3 1.190000-2 1.755742+3 1.333521-2 1.414500+3 1.513561-2 1.103827+3 1.717908-2 8.547659+2 1.950000-2 6.569480+2 2.213095-2 5.015029+2 2.511886-2 3.801400+2 2.851018-2 2.862332+2 3.235937-2 2.141640+2 3.758374-2 1.508383+2 4.265795-2 1.114407+2 4.954502-2 7.735573+1 5.821032-2 5.180867+1 6.918310-2 3.344300+1 8.317638-2 2.080329+1 1.023293-1 1.210045+1 1.348963-1 5.817336+0 2.290868-1 1.420452+0 2.818383-1 8.232444-1 3.349654-1 5.260070-1 3.935501-1 3.487501-1 4.518559-1 2.469194-1 5.128614-1 1.811504-1 5.821032-1 1.339014-1 6.606935-1 9.973460-2 7.585776-1 7.282899-2 8.413951-1 5.794740-2 9.225714-1 4.761863-2 1.000000+0 4.035071-2 1.135011+0 3.139074-2 1.273503+0 2.515427-2 1.445440+0 1.988575-2 1.659587+0 1.551057-2 1.905461+0 1.219086-2 2.162719+0 9.841591-3 2.483133+0 7.853195-3 2.851018+0 6.314339-3 3.311311+0 5.023279-3 3.845918+0 4.025625-3 4.518559+0 3.196052-3 5.308844+0 2.556600-3 6.309573+0 2.028430-3 7.585776+0 1.597503-3 9.225714+0 1.249379-3 1.135011+1 9.707754-4 1.428894+1 7.396220-4 1.840772+1 5.530871-4 2.371374+1 4.168783-4 3.162278+1 3.041565-4 4.415704+1 2.129794-4 6.683439+1 1.379187-4 1.071519+2 8.475349-5 1.883649+2 4.769367-5 3.758374+2 2.373112-5 7.498942+2 1.185020-5 5.956621+3 1.486962-6 1.000000+5 8.853100-8 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.609900-3 4.779900-4 1.000000+5 4.779900-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.609900-3 8.445400-7 1.000000+5 8.445400-7 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.609900-3 1.131065-3 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.272900-3 1.386991+5 1.396368-3 1.236642+5 1.570000-3 1.085924+5 1.730000-3 9.637080+4 1.927525-3 8.400080+4 2.089296-3 7.532866+4 2.350000-3 6.377440+4 2.722701-3 5.105959+4 3.019952-3 4.346498+4 3.388442-3 3.599276+4 3.845918-3 2.908354+4 4.365158-3 2.327856+4 4.897788-3 1.890936+4 5.688529-3 1.428442+4 6.382635-3 1.143042+4 7.244360-3 8.887580+3 8.413951-3 6.536677+3 9.660509-3 4.878601+3 1.083927-2 3.798568+3 1.216186-2 2.941184+3 1.400000-2 2.134056+3 1.603245-2 1.554201+3 1.840772-2 1.116002+3 2.089296-2 8.180485+2 2.371374-2 5.956942+2 2.722701-2 4.184037+2 3.126079-2 2.916592+2 3.600000-2 2.002194+2 4.120975-2 1.387712+2 4.786301-2 9.173990+1 5.623413-2 5.828187+1 6.531306-2 3.797636+1 7.852356-2 2.223476+1 9.660509-2 1.207411+1 1.230269-1 5.866049+0 1.972423-1 1.423527+0 2.426610-1 7.687240-1 2.884032-1 4.631655-1 3.349654-1 3.006435-1 3.845918-1 2.031663-1 4.365158-1 1.428520-1 4.897788-1 1.044052-1 5.495409-1 7.687976-2 6.165950-1 5.704380-2 6.839117-1 4.390298-2 7.943282-1 3.024821-2 8.609938-1 2.492634-2 9.225714-1 2.126221-2 9.772372-1 1.873172-2 1.047129+0 1.621027-2 1.135011+0 1.378616-2 1.244515+0 1.154157-2 1.380384+0 9.534325-3 1.717908+0 6.453986-3 1.972423+0 5.079645-3 2.238721+0 4.108113-3 2.570396+0 3.284542-3 2.951209+0 2.645675-3 3.427678+0 2.108300-3 4.000000+0 1.680800-3 4.677351+0 1.345761-3 5.495409+0 1.078204-3 6.531306+0 8.567719-4 7.852356+0 6.757331-4 9.549926+0 5.292227-4 1.174898+1 4.117289-4 1.462177+1 3.182992-4 1.862087+1 2.413063-4 2.400000+1 1.818400-4 3.235937+1 1.311263-4 4.786301+1 8.645292-5 7.585776+1 5.345143-5 1.396368+2 2.857231-5 2.786121+2 1.418796-5 5.559043+2 7.073791-6 4.415704+3 8.867913-7 1.000000+5 3.913000-8 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.272900-3 4.107000-4 1.000000+5 4.107000-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.272900-3 8.066800-7 1.000000+5 8.066800-7 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.272900-3 8.613933-4 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 9.867400-4 1.660201+5 1.038000-3 1.877671+5 1.083927-3 1.972805+5 1.100000-3 1.985385+5 1.110000-3 1.989744+5 1.130000-3 1.986608+5 1.190000-3 1.949228+5 1.244515-3 1.904331+5 1.303167-3 1.849806+5 1.380384-3 1.770921+5 1.470000-3 1.675788+5 1.566751-3 1.573129+5 1.659587-3 1.475750+5 1.770000-3 1.365200+5 1.905461-3 1.239886+5 2.041738-3 1.123326+5 2.220000-3 9.905800+4 2.371374-3 8.904787+4 2.600160-3 7.600336+4 2.818383-3 6.579813+4 3.019952-3 5.778663+4 3.311311-3 4.823821+4 3.630781-3 4.001106+4 3.981072-3 3.289732+4 4.415704-3 2.620068+4 4.841724-3 2.123164+4 5.370318-3 1.663749+4 5.888437-3 1.329888+4 6.531306-3 1.026484+4 7.244360-3 7.861798+3 8.035261-3 5.978953+3 8.944300-3 4.471146+3 9.885531-3 3.386777+3 1.109175-2 2.442127+3 1.244515-2 1.747203+3 1.412538-2 1.198412+3 1.603245-2 8.148854+2 1.819701-2 5.495456+2 2.065380-2 3.676709+2 2.317395-2 2.535143+2 2.630268-2 1.672974+2 3.019952-2 1.055250+2 3.467369-2 6.606882+1 4.027170-2 3.948731+1 4.731513-2 2.251325+1 5.688529-2 1.174907+1 7.000000-2 5.602520+0 1.380384-1 4.852594-1 1.698244-1 2.314262-1 2.018366-1 1.256917-1 2.398833-1 6.878252-2 2.754229-1 4.275954-2 3.126079-1 2.785221-2 3.507519-1 1.899135-2 3.935501-1 1.304406-2 4.365158-1 9.366439-3 4.841724-1 6.773779-3 5.308844-1 5.109740-3 5.821032-1 3.880426-3 6.382635-1 2.968504-3 6.918310-1 2.366206-3 7.585776-1 1.838208-3 8.035261-1 1.573897-3 8.709636-1 1.261375-3 9.225714-1 1.084088-3 9.660509-1 9.661583-4 1.011579+0 8.669940-4 1.059254+0 7.831212-4 1.122018+0 6.946069-4 1.188502+0 6.203221-4 1.273503+0 5.454917-4 1.396368+0 4.635288-4 1.513561+0 4.036006-4 1.840772+0 2.856379-4 2.065380+0 2.344844-4 2.344229+0 1.901260-4 2.691535+0 1.524056-4 3.126079+0 1.208997-4 3.630781+0 9.661729-5 4.265795+0 7.649435-5 5.011872+0 6.102714-5 5.956621+0 4.829439-5 7.079458+0 3.850622-5 8.511380+0 3.046870-5 1.047129+1 2.360217-5 1.300000+1 1.822700-5 1.621810+1 1.409785-5 2.018366+1 1.100143-5 2.660725+1 8.100567-6 3.507519+1 6.001520-6 5.308844+1 3.869420-6 8.413951+1 2.396941-6 1.566751+2 1.268300-6 3.126079+2 6.303904-7 6.237348+2 3.144872-7 4.954502+3 3.944416-8 1.000000+5 1.953000-9 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 9.867400-4 3.303200-4 1.000000+5 3.303200-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 9.867400-4 5.368000-7 1.000000+5 5.368000-7 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 9.867400-4 6.558832-4 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 9.262000-4 6.291123+4 9.265000-4 6.746160+4 9.275000-4 7.934100+4 9.285000-4 9.262200+4 9.292000-4 1.026258+5 9.300000-4 1.146894+5 9.308000-4 1.272576+5 9.315000-4 1.386006+5 9.322000-4 1.501662+5 9.330000-4 1.635090+5 9.337000-4 1.751592+5 9.345000-4 1.882998+5 9.353000-4 2.011086+5 9.362000-4 2.149518+5 9.370000-4 2.266218+5 9.378000-4 2.376150+5 9.388000-4 2.502996+5 9.396000-4 2.595546+5 9.407000-4 2.709852+5 9.418000-4 2.809500+5 9.430000-4 2.902710+5 9.445000-4 2.999190+5 9.458000-4 3.067398+5 9.473000-4 3.131874+5 9.490000-4 3.190350+5 9.515000-4 3.256638+5 9.550000-4 3.325332+5 9.600000-4 3.398466+5 9.660509-4 3.464729+5 9.700000-4 3.496284+5 9.750000-4 3.522678+5 9.830000-4 3.537564+5 1.015000-3 3.500592+5 1.040000-3 3.479802+5 1.122018-3 3.345987+5 1.190000-3 3.215340+5 1.273503-3 3.042081+5 1.364583-3 2.849752+5 1.462177-3 2.646855+5 1.566751-3 2.439411+5 1.698244-3 2.196713+5 1.806000-3 2.015431+5 2.000000-3 1.725474+5 2.150000-3 1.535874+5 2.300000-3 1.367496+5 2.540973-3 1.142396+5 2.754229-3 9.814803+4 3.019952-3 8.174457+4 3.311311-3 6.763815+4 3.589219-3 5.692924+4 3.981072-3 4.526139+4 4.365158-3 3.664091+4 4.841724-3 2.866441+4 5.308844-3 2.288173+4 5.888437-3 1.762851+4 6.531306-3 1.347471+4 7.161434-3 1.054537+4 8.000000-3 7.795320+3 9.015711-3 5.574878+3 1.011579-2 4.001348+3 1.122018-2 2.948233+3 1.244515-2 2.158789+3 1.396368-2 1.515714+3 1.566751-2 1.056231+3 1.757924-2 7.308057+2 1.972423-2 5.021539+2 2.213095-2 3.427919+2 2.511886-2 2.236480+2 2.884032-2 1.392190+2 3.311311-2 8.595447+1 3.845918-2 5.057287+1 4.518559-2 2.832923+1 5.248075-2 1.643006+1 6.382635-2 7.986587+0 8.317638-2 2.981063+0 1.333521-1 5.107686-1 1.603245-1 2.582694-1 1.883649-1 1.432480-1 2.162719-1 8.708200-2 2.454709-1 5.555462-2 2.786121-1 3.570405-2 3.126079-1 2.404205-2 3.467369-1 1.695612-2 3.845918-1 1.204770-2 4.168694-1 9.291922-3 4.570882-1 6.953148-3 5.011872-1 5.240000-3 5.495409-1 3.977751-3 6.025596-1 3.041389-3 6.531306-1 2.420829-3 6.998420-1 2.002246-3 7.585776-1 1.615797-3 8.317638-1 1.273774-3 9.440609-1 9.248171-4 9.885531-1 8.283422-4 1.035142+0 7.469692-4 1.096478+0 6.611635-4 1.161449+0 5.891519-4 1.250000+0 5.125720-4 1.364583+0 4.377735-4 1.531087+0 3.583475-4 1.840772+0 2.588460-4 2.065380+0 2.125119-4 2.344229+0 1.723095-4 2.691535+0 1.381211-4 3.126079+0 1.095670-4 3.630781+0 8.756255-5 4.265795+0 6.932662-5 5.011872+0 5.530886-5 5.956621+0 4.376887-5 7.079458+0 3.489828-5 8.511380+0 2.761408-5 1.047129+1 2.138990-5 1.303167+1 1.647163-5 1.621810+1 1.277650-5 2.000000+1 1.007400-5 2.630268+1 7.433807-6 3.507519+1 5.439198-6 5.308844+1 3.506798-6 8.413951+1 2.172330-6 1.548817+2 1.163003-6 3.090295+2 5.779957-7 6.165950+2 2.883314-7 4.897788+3 3.616269-8 1.000000+5 1.770000-9 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 9.262000-4 3.132600-4 1.000000+5 3.132600-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 9.262000-4 9.919600-8 1.000000+5 9.919600-8 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 9.262000-4 6.128408-4 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 5.477300-4 6.582119+4 5.477600-4 6.488280+4 5.482000-4 6.244200+4 5.486500-4 6.040740+4 5.491000-4 5.869728+4 5.497000-4 5.682912+4 5.504000-4 5.514672+4 5.511000-4 5.380956+4 5.518000-4 5.277288+4 5.530000-4 5.146620+4 5.541000-4 5.062116+4 5.553000-4 4.997586+4 5.568000-4 4.944408+4 5.590000-4 4.899684+4 5.623413-4 4.872999+4 5.650000-4 4.880400+4 5.678000-4 4.922454+4 5.700000-4 4.989588+4 5.720000-4 5.084340+4 5.735000-4 5.181444+4 5.754399-4 5.345296+4 5.770000-4 5.513112+4 5.785000-4 5.708712+4 5.800000-4 5.940822+4 5.815000-4 6.213960+4 5.829400-4 6.517799+4 5.843000-4 6.845700+4 5.860000-4 7.316940+4 5.880000-4 7.965480+4 5.900000-4 8.727240+4 5.920000-4 9.613800+4 5.950000-4 1.120020+5 5.985000-4 1.348098+5 6.050000-4 1.907556+5 6.090000-4 2.344152+5 6.115000-4 2.652360+5 6.140000-4 2.986926+5 6.165950-4 3.360963+5 6.190000-4 3.730686+5 6.220000-4 4.220916+5 6.250000-4 4.740582+5 6.280000-4 5.286276+5 6.310000-4 5.854404+5 6.343000-4 6.498540+5 6.370000-4 7.035960+5 6.400000-4 7.638120+5 6.430000-4 8.239380+5 6.460000-4 8.832360+5 6.492500-4 9.460231+5 6.515000-4 9.881820+5 6.550000-4 1.051074+6 6.590000-4 1.118352+6 6.630000-4 1.180242+6 6.670000-4 1.236546+6 6.700000-4 1.275180+6 6.740000-4 1.321932+6 6.780000-4 1.363584+6 6.839116-4 1.416369+6 6.890000-4 1.454256+6 6.950000-4 1.490718+6 7.000000-4 1.515018+6 7.080000-4 1.543710+6 7.161434-4 1.561641+6 7.260000-4 1.571550+6 7.350000-4 1.572156+6 7.500000-4 1.562094+6 7.673615-4 1.538924+6 7.852356-4 1.506433+6 8.128305-4 1.446712+6 8.413951-4 1.380133+6 8.810489-4 1.286590+6 9.225714-4 1.191531+6 9.700000-4 1.089126+6 1.023293-3 9.833322+5 1.090000-3 8.651760+5 1.161449-3 7.549276+5 1.244515-3 6.460091+5 1.318257-3 5.639637+5 1.428894-3 4.621133+5 1.548817-3 3.763361+5 1.659587-3 3.133783+5 1.819701-3 2.434606+5 1.972423-3 1.941476+5 2.151200-3 1.509266+5 2.371374-3 1.130391+5 2.570396-3 8.843463+4 2.884032-3 6.179475+4 3.162278-3 4.603872+4 3.507519-3 3.284877+4 3.935501-3 2.236439+4 4.315191-3 1.634125+4 4.841724-3 1.095376+4 5.432503-3 7.279799+3 6.025596-3 5.005070+3 6.683439-3 3.420111+3 7.500000-3 2.222664+3 8.511380-3 1.373080+3 9.660509-3 8.403274+2 1.083927-2 5.338354+2 1.216186-2 3.368290+2 1.364583-2 2.111743+2 1.531087-2 1.315935+2 1.737801-2 7.771149+1 2.000000-2 4.299162+1 2.317395-2 2.292891+1 2.691535-2 1.201530+1 3.162278-2 5.946662+0 3.801894-2 2.640794+0 4.731513-2 9.987477-1 8.609938-2 6.879161-2 1.071519-1 2.605491-2 1.273503-1 1.218719-2 1.500000-1 5.972369-3 1.717908-1 3.330085-3 1.927525-1 2.041411-3 2.162719-1 1.259711-3 2.426610-1 7.827193-4 2.722701-1 4.899361-4 3.019952-1 3.235477-4 3.349654-1 2.150940-4 3.715352-1 1.439881-4 4.120975-1 9.704756-5 4.518559-1 6.880181-5 4.954502-1 4.911309-5 5.370318-1 3.665566-5 5.688529-1 2.992944-5 6.000000-1 2.496790-5 6.382635-1 2.048015-5 6.918310-1 1.596487-5 8.912509-1 7.438661-6 9.225714-1 6.686863-6 9.549926-1 5.979480-6 9.885531-1 5.377183-6 1.023293+0 4.872463-6 1.059254+0 4.455263-6 1.096478+0 4.107443-6 1.135011+0 3.814039-6 1.174898+0 3.563330-6 1.230269+0 3.279638-6 1.318257+0 2.920941-6 1.428894+0 2.576899-6 1.500000+0 2.395095-6 1.678804+0 1.967054-6 1.949845+0 1.510438-6 2.187762+0 1.243912-6 2.511886+0 9.932475-7 2.884032+0 7.990883-7 3.349654+0 6.360689-7 3.890451+0 5.100285-7 4.570882+0 4.051412-7 5.370318+0 3.242469-7 6.382635+0 2.573942-7 7.673615+0 2.028108-7 9.332543+0 1.586926-7 1.148154+1 1.233610-7 1.445440+1 9.402254-8 1.862087+1 7.033657-8 2.426610+1 5.235655-8 3.349654+1 3.682464-8 5.069907+1 2.371728-8 8.128305+1 1.450578-8 1.513561+2 7.671753-9 3.019952+2 3.812105-9 6.025596+2 1.901454-9 4.786301+3 2.38457-10 1.000000+5 1.14060-11 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 5.477300-4 1.893400-4 1.000000+5 1.893400-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 5.477300-4 5.015900-8 1.000000+5 5.015900-8 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 5.477300-4 3.583398-4 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 5.309800-4 1.016648+5 5.312500-4 9.779520+4 5.316000-4 9.355680+4 5.319000-4 9.048320+4 5.323500-4 8.660240+4 5.328000-4 8.344800+4 5.333000-4 8.055360+4 5.337000-4 7.863416+4 5.342000-4 7.659488+4 5.348000-4 7.457000+4 5.354000-4 7.292248+4 5.361000-4 7.137160+4 5.370318-4 6.977262+4 5.380000-4 6.851640+4 5.395000-4 6.714072+4 5.407000-4 6.639656+4 5.423000-4 6.573576+4 5.440000-4 6.532256+4 5.466300-4 6.510856+4 5.490000-4 6.531128+4 5.515000-4 6.598864+4 5.535600-4 6.699688+4 5.550000-4 6.799800+4 5.565000-4 6.934384+4 5.585000-4 7.169408+4 5.600000-4 7.393048+4 5.615000-4 7.662408+4 5.630000-4 7.982552+4 5.645000-4 8.358240+4 5.660000-4 8.795280+4 5.678000-4 9.408160+4 5.696900-4 1.016682+5 5.710000-4 1.076808+5 5.730000-4 1.181648+5 5.754399-4 1.332837+5 5.780000-4 1.521904+5 5.821032-4 1.897022+5 5.888437-4 2.725928+5 5.920000-4 3.208904+5 5.950000-4 3.723472+5 5.978000-4 4.250704+5 6.000000-4 4.695288+5 6.030000-4 5.342160+5 6.050000-4 5.797656+5 6.080000-4 6.514464+5 6.100000-4 7.012464+5 6.130000-4 7.785944+5 6.162600-4 8.655421+5 6.190000-4 9.403760+5 6.220000-4 1.023288+6 6.250000-4 1.106392+6 6.280000-4 1.188808+6 6.310000-4 1.269640+6 6.335000-4 1.335208+6 6.370000-4 1.423480+6 6.400000-4 1.495248+6 6.430000-4 1.563056+6 6.460000-4 1.626552+6 6.500000-4 1.704440+6 6.540000-4 1.774648+6 6.580000-4 1.837448+6 6.630000-4 1.906184+6 6.685000-4 1.970192+6 6.740000-4 2.023088+6 6.800000-4 2.069472+6 6.860700-4 2.105456+6 6.930000-4 2.134704+6 7.000000-4 2.153280+6 7.080000-4 2.163488+6 7.190000-4 2.163360+6 7.328245-4 2.147830+6 7.500000-4 2.113744+6 7.673615-4 2.067940+6 7.943282-4 1.983802+6 8.222426-4 1.890588+6 8.609938-4 1.759853+6 9.015711-4 1.627788+6 9.549926-4 1.465176+6 1.011579-3 1.309331+6 1.071519-3 1.162477+6 1.135011-3 1.025853+6 1.230269-3 8.537487+5 1.303167-3 7.439099+5 1.412538-3 6.081495+5 1.531087-3 4.941178+5 1.640590-3 4.107198+5 1.819701-3 3.083182+5 1.972423-3 2.449642+5 2.187762-3 1.806948+5 2.371374-3 1.417648+5 2.650000-3 1.006048+5 2.900000-3 7.564920+4 3.235937-3 5.307565+4 3.548134-3 3.913079+4 3.935501-3 2.759403+4 4.415704-3 1.854893+4 4.841724-3 1.341438+4 5.370318-3 9.259999+3 6.095369-3 5.832222+3 6.918310-3 3.638135+3 7.852356-3 2.248298+3 9.000000-3 1.325184+3 1.023293-2 7.981416+2 1.150000-2 4.995456+2 1.288250-2 3.146082+2 1.450000-2 1.930488+2 1.621810-2 1.208628+2 1.862087-2 6.732921+1 2.113489-2 3.912174+1 2.426610-2 2.147746+1 2.818383-2 1.113266+1 3.311311-2 5.444041+0 3.981072-2 2.384096+0 5.011872-2 8.414550-1 8.128305-2 9.329939-2 1.096478-1 2.418230-2 1.288250-1 1.176694-2 1.500000-1 6.004859-3 1.717908-1 3.321171-3 1.949845-1 1.923762-3 2.187762-1 1.179067-3 2.426610-1 7.639233-4 2.691535-1 4.984439-4 2.985383-1 3.276011-4 3.273407-1 2.273474-4 3.548134-1 1.663287-4 3.845918-1 1.225680-4 4.168694-1 9.098862-5 4.466836-1 7.092252-5 4.841724-1 5.342941-5 5.233200-1 4.096349-5 5.623413-1 3.228340-5 6.095369-1 2.490364-5 6.606935-1 1.934771-5 7.244360-1 1.460283-5 7.852356-1 1.149055-5 9.015711-1 7.684594-6 9.440609-1 6.758308-6 9.772372-1 6.168022-6 1.011579+0 5.659050-6 1.047129+0 5.218939-6 1.096478+0 4.717453-6 1.148154+0 4.293326-6 1.216186+0 3.846465-6 1.303167+0 3.397903-6 1.428894+0 2.905543-6 1.513561+0 2.639275-6 1.905461+0 1.759253-6 2.137962+0 1.446813-6 2.426610+0 1.175297-6 2.786121+0 9.438961-7 3.235937+0 7.500810-7 3.758374+0 6.004462-7 4.415704+0 4.761839-7 5.188000+0 3.805073-7 6.165950+0 3.015871-7 7.328245+0 2.408084-7 8.912509+0 1.880786-7 1.100000+1 1.453900-7 1.380384+1 1.110567-7 1.800000+1 8.181300-8 2.344229+1 6.089233-8 3.126079+1 4.441857-8 4.265795+1 3.186278-8 6.382635+1 2.086881-8 9.885531+1 1.327787-8 1.757924+2 7.377569-9 3.507519+2 3.669508-9 6.998420+2 1.831774-9 5.559043+3 2.29817-10 1.000000+5 1.27680-11 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 5.309800-4 1.848900-4 1.000000+5 1.848900-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 5.309800-4 1.214400-7 1.000000+5 1.214400-7 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 5.309800-4 3.459686-4 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 4.115800-4 4.358875+4 5.370318-4 3.412644+4 5.888437-4 3.142943+4 7.585776-4 2.444371+4 8.317638-4 2.214586+4 9.772372-4 1.845309+4 1.083927-3 1.629527+4 1.258925-3 1.348971+4 1.412538-3 1.158860+4 1.659587-3 9.292038+3 1.972423-3 7.257962+3 2.344229-3 5.622542+3 2.754229-3 4.401372+3 3.311311-3 3.304623+3 4.000000-3 2.445980+3 4.897788-3 1.758399+3 5.956621-3 1.267881+3 7.161434-3 9.251073+2 8.609938-3 6.699599+2 1.035142-2 4.815572+2 1.244515-2 3.436134+2 1.500000-2 2.422240+2 1.798871-2 1.710787+2 2.162719-2 1.193410+2 2.600160-2 8.261068+1 3.126079-2 5.673877+1 3.758374-2 3.866140+1 4.466836-2 2.678786+1 5.370318-2 1.797489+1 6.456542-2 1.196848+1 7.762471-2 7.909740+0 9.440609-2 5.056180+0 1.174898-1 3.041549+0 1.531088-1 1.629872+0 2.722701-1 4.170048-1 3.388442-1 2.500958-1 4.027170-1 1.681431-1 4.786301-1 1.139976-1 5.623413-1 7.992057-2 6.456542-1 5.934469-2 7.498942-1 4.330210-2 8.810489-1 3.108545-2 1.000000+0 2.412909-2 1.216186+0 1.646726-2 1.364583+0 1.323925-2 1.531087+0 1.071126-2 1.737801+0 8.551199-3 2.000000+0 6.711802-3 2.264644+0 5.453106-3 2.600160+0 4.362780-3 3.000000+0 3.490200-3 3.467369+0 2.803814-3 4.027170+0 2.251894-3 4.731513+0 1.791745-3 5.559043+0 1.436200-3 6.606934+0 1.141758-3 7.943282+0 9.009621-4 9.660509+0 7.059263-4 1.188502+1 5.494397-4 1.479108+1 4.249388-4 1.883649+1 3.222704-4 2.426610+1 2.430183-4 3.349654+1 1.709202-4 5.069907+1 1.100816-4 8.128305+1 6.732906-5 1.513561+2 3.560855-5 3.019952+2 1.769418-5 6.025596+2 8.825683-6 4.786301+3 1.106825-6 1.000000+5 5.294000-8 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 4.115800-4 2.167100-4 1.000000+5 2.167100-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.115800-4 1.275900-8 1.000000+5 1.275900-8 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.115800-4 1.948572-4 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 3.378700-4 1.487206+5 3.381000-4 1.474332+5 3.388442-4 1.416265+5 3.395000-4 1.375062+5 3.403000-4 1.334748+5 3.410000-4 1.305588+5 3.422000-4 1.265662+5 3.433000-4 1.236478+5 3.448000-4 1.205018+5 3.470000-4 1.169120+5 3.500000-4 1.130586+5 3.650000-4 9.794200+4 3.820000-4 8.330580+4 4.100000-4 6.563560+4 4.365158-4 5.431989+4 4.623810-4 4.592267+4 4.850000-4 4.017140+4 5.011872-4 3.681735+4 5.188000-4 3.376677+4 5.400000-4 3.075880+4 5.650000-4 2.791180+4 5.900000-4 2.561140+4 6.200000-4 2.337340+4 6.500000-4 2.157100+4 6.760830-4 2.028575+4 7.079458-4 1.899487+4 7.500000-4 1.763536+4 8.035261-4 1.627875+4 8.709636-4 1.494773+4 9.549926-4 1.367119+4 1.380384-3 9.786167+3 1.584893-3 8.567864+3 1.800000-3 7.527720+3 2.065380-3 6.491526+3 2.344229-3 5.617541+3 2.660725-3 4.825909+3 3.019952-3 4.116040+3 3.467369-3 3.430982+3 3.935501-3 2.882076+3 4.500000-3 2.377500+3 5.069907-3 1.989642+3 5.754399-3 1.634957+3 6.531306-3 1.333440+3 7.413102-3 1.079484+3 8.511380-3 8.499918+2 9.660509-3 6.775206+2 1.096478-2 5.363631+2 1.244515-2 4.215401+2 1.412538-2 3.289472+2 1.621810-2 2.490468+2 1.862087-2 1.870729+2 2.113489-2 1.429143+2 2.426610-2 1.057470+2 2.786121-2 7.766059+1 3.198895-2 5.661785+1 3.715352-2 3.988717+1 4.315191-2 2.788344+1 5.011872-2 1.935123+1 5.888437-2 1.296054+1 7.000000-2 8.363580+0 8.511380-2 5.053791+0 1.047129-1 2.939284+0 2.426610-1 3.168292-1 2.985383-1 1.841305-1 3.548134-1 1.179949-1 4.120975-1 8.079906-2 4.731513-1 5.736179-2 5.370318-1 4.218673-2 6.095369-1 3.125484-2 6.839117-1 2.396834-2 7.673615-1 1.850657-2 8.709636-1 1.401618-2 9.549926-1 1.153290-2 1.035142+0 9.792206-3 1.174898+0 7.628953-3 1.303167+0 6.260889-3 1.479108+0 4.959423-3 1.698244+0 3.873677-3 1.949845+0 3.048282-3 2.213095+0 2.463864-3 2.540973+0 1.968645-3 2.917427+0 1.584767-3 3.388442+0 1.262173-3 3.935501+0 1.012616-3 4.623810+0 8.048103-4 5.432503+0 6.444547-4 6.456542+0 5.118396-4 7.762471+0 4.034950-4 9.440609+0 3.158635-4 1.161449+1 2.456360-4 1.445440+1 1.898180-4 1.862087+1 1.419978-4 2.400000+1 1.070000-4 3.235937+1 7.716277-5 4.731513+1 5.149412-5 7.413102+1 3.221247-5 1.333521+2 1.762288-5 2.660725+2 8.746169-6 5.308844+2 4.359822-6 4.216965+3 5.464273-7 1.000000+5 2.302600-8 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 3.378700-4 1.985900-4 1.000000+5 1.985900-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.378700-4 2.535700-8 1.000000+5 2.535700-8 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.378700-4 1.392546-4 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.515800-4 3.363200+5 2.645000-4 3.084419+5 2.730000-4 2.931070+5 2.850000-4 2.763660+5 3.054921-4 2.499847+5 3.548134-4 2.088841+5 3.801894-4 1.937549+5 5.308844-4 1.374448+5 6.165950-4 1.169508+5 7.000000-4 1.012644+5 8.000000-4 8.633960+4 9.120108-4 7.323700+4 1.035142-3 6.200973+4 1.188502-3 5.129572+4 1.364583-3 4.209402+4 1.566751-3 3.428352+4 1.800000-3 2.769528+4 2.089296-3 2.185675+4 2.426610-3 1.710120+4 2.851018-3 1.302381+4 3.311311-3 1.003678+4 3.845918-3 7.678568+3 4.466836-3 5.829620+3 5.128614-3 4.489144+3 5.956621-3 3.355255+3 6.800000-3 2.574240+3 7.762471-3 1.961829+3 8.810489-3 1.502865+3 1.011579-2 1.115494+3 1.161449-2 8.216756+2 1.333521-2 6.006117+2 1.531087-2 4.356527+2 1.757924-2 3.136445+2 2.018366-2 2.240945+2 2.317395-2 1.588381+2 2.660725-2 1.117372+2 3.054921-2 7.803017+1 3.507519-2 5.410653+1 4.073803-2 3.610992+1 4.731513-2 2.390952+1 5.559043-2 1.521499+1 6.456542-2 9.930144+0 7.673615-2 6.024054+0 9.332543-2 3.392376+0 1.122019-1 1.962313+0 2.018366-1 3.377191-1 2.483133-1 1.825784-1 2.951209-1 1.101644-1 3.427678-1 7.162529-2 3.935501-1 4.849760-2 4.466836-1 3.417690-2 5.011872-1 2.503280-2 5.623413-1 1.846417-2 6.237348-1 1.413339-2 6.918310-1 1.089171-2 7.673615-1 8.449441-3 8.709636-1 6.225982-3 9.332543-1 5.303346-3 9.885531-1 4.666948-3 1.059254+0 4.034817-3 1.148154+0 3.432489-3 1.250000+0 2.917100-3 1.380384+0 2.431713-3 1.757924+0 1.582247-3 2.000000+0 1.266300-3 2.264644+0 1.028971-3 2.600160+0 8.232287-4 3.000000+0 6.585200-4 3.467369+0 5.290073-4 4.027170+0 4.248690-4 4.731513+0 3.380521-4 5.559043+0 2.709755-4 6.606934+0 2.154264-4 7.943282+0 1.699832-4 9.660509+0 1.331881-4 1.188502+1 1.036614-4 1.479108+1 8.017421-5 1.883649+1 6.080265-5 2.454709+1 4.526885-5 3.388442+1 3.185250-5 5.128614+1 2.051990-5 8.128305+1 1.270365-5 1.531087+2 6.640222-6 3.054921+2 3.299813-6 6.095369+2 1.646025-6 4.841724+3 2.064387-7 1.000000+5 9.988300-9 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.515800-4 1.409300-4 1.000000+5 1.409300-4 1 98000 7 7 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.515800-4 4.547500-9 1.000000+5 4.547500-9 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.515800-4 1.106455-4 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.424700-4 5.582643+5 1.428894-4 5.829157+5 1.436000-4 6.243760+5 1.462177-4 8.156608+5 1.471300-4 8.898108+5 1.480000-4 9.609200+5 1.487000-4 1.017336+6 1.496236-4 1.089287+6 1.505000-4 1.153464+6 1.513561-4 1.211066+6 1.520000-4 1.250396+6 1.528000-4 1.293896+6 1.535000-4 1.326900+6 1.545000-4 1.365572+6 1.555000-4 1.394324+6 1.565000-4 1.413700+6 1.575000-4 1.424464+6 1.585000-4 1.427580+6 1.595000-4 1.424080+6 1.610000-4 1.408912+6 1.627000-4 1.380636+6 1.645800-4 1.340541+6 1.670000-4 1.281160+6 1.698244-4 1.207806+6 1.740000-4 1.100168+6 1.780000-4 1.002696+6 1.840772-4 8.677349+5 1.900000-4 7.513320+5 1.972423-4 6.287133+5 2.190000-4 3.760472+5 2.290868-4 3.032857+5 2.380000-4 2.543220+5 2.454709-4 2.216587+5 2.540973-4 1.913747+5 2.620000-4 1.692364+5 2.691535-4 1.529440+5 2.754229-4 1.410975+5 2.818383-4 1.309580+5 2.884032-4 1.223394+5 2.951209-4 1.150719+5 3.019952-4 1.089990+5 3.090295-4 1.039749+5 3.162278-4 9.986585+4 3.240000-4 9.638960+4 3.320000-4 9.365400+4 3.390000-4 9.182680+4 3.470000-4 9.025800+4 3.550000-4 8.913440+4 3.672823-4 8.807171+4 3.801894-4 8.758515+4 3.981072-4 8.761097+4 4.265795-4 8.850363+4 4.786301-4 9.032790+4 5.150000-4 9.094560+4 5.500000-4 9.091840+4 5.821032-4 9.035471+4 6.200000-4 8.912120+4 6.606934-4 8.729501+4 7.000000-4 8.516800+4 7.500000-4 8.208640+4 8.035261-4 7.853957+4 8.609938-4 7.462373+4 9.225714-4 7.041125+4 1.000000-3 6.528960+4 1.071519-3 6.080334+4 1.161449-3 5.556179+4 1.258925-3 5.041436+4 1.380384-3 4.473366+4 1.500000-3 3.987608+4 1.650000-3 3.467876+4 1.800000-3 3.030540+4 1.972423-3 2.612982+4 2.187762-3 2.191051+4 2.426610-3 1.821889+4 2.691535-3 1.502854+4 2.951209-3 1.258169+4 3.235937-3 1.047060+4 3.548134-3 8.662039+3 3.900000-3 7.085440+3 4.315191-3 5.675791+3 4.786301-3 4.488997+3 5.308844-3 3.524246+3 5.888437-3 2.746361+3 6.531306-3 2.124758+3 7.244360-3 1.632107+3 8.035261-3 1.244965+3 9.000000-3 9.188160+2 1.000000-2 6.878800+2 1.109175-2 5.141334+2 1.244515-2 3.691995+2 1.412538-2 2.545735+2 1.659587-2 1.573345+2 1.854900-2 1.120306+2 2.041738-2 8.282620+1 2.290868-2 5.719861+1 2.600160-2 3.775873+1 3.019952-2 2.300148+1 3.507519-2 1.390711+1 4.073803-2 8.344945+0 4.786301-2 4.772829+0 5.754399-2 2.499456+0 7.000000-2 1.245676+0 9.440609-2 4.260232-1 1.396368-1 1.043786-1 1.737801-1 4.787711-2 2.089296-1 2.502236-2 2.426610-1 1.486914-2 2.786121-1 9.261490-3 3.162278-1 6.043227-3 3.548134-1 4.126796-3 3.981072-1 2.838093-3 4.415705-1 2.039606-3 4.897788-1 1.475943-3 5.432503-1 1.075891-3 5.956621-1 8.181690-4 6.456542-1 6.488239-4 7.079458-1 5.014479-4 8.035261-1 3.555883-4 8.609938-1 2.940400-4 9.120108-1 2.525757-4 9.549926-1 2.249426-4 1.000000+0 2.016000-4 1.047129+0 1.819083-4 1.109175+0 1.611411-4 1.174898+0 1.437352-4 1.258925+0 1.262395-4 1.364583+0 1.093050-4 1.531087+0 8.955943-5 1.862087+0 6.340843-5 2.089296+0 5.208994-5 2.371374+0 4.226255-5 2.722701+0 3.389813-5 3.162278+0 2.690544-5 3.672823+0 2.151366-5 4.315191+0 1.704276-5 5.069907+0 1.360443-5 6.025596+0 1.077182-5 7.161434+0 8.592533-6 8.709636+0 6.704889-6 1.071519+1 5.198344-6 1.333521+1 4.006125-6 1.717908+1 2.988909-6 2.264644+1 2.191344-6 2.818383+1 1.723512-6 3.507519+1 1.359256-6 5.308844+1 8.763483-7 8.413951+1 5.428585-7 1.566751+2 2.872488-7 3.126079+2 1.427719-7 6.237348+2 7.122549-8 4.954502+3 8.933349-9 1.000000+5 4.42310-10 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.424700-4 1.424700-4 1.000000+5 1.424700-4 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.424700-4 0.0 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 1.296600-4 8.537046+5 1.299000-4 8.899680+5 1.308000-4 1.009326+6 1.314000-4 1.092450+6 1.320000-4 1.177482+6 1.327000-4 1.277328+6 1.335000-4 1.391208+6 1.343000-4 1.503348+6 1.350000-4 1.598598+6 1.358000-4 1.702734+6 1.365000-4 1.788588+6 1.373000-4 1.879566+6 1.380384-4 1.955766+6 1.387000-4 2.017146+6 1.396368-4 2.092086+6 1.403000-4 2.136378+6 1.412538-4 2.187264+6 1.423000-4 2.226126+6 1.433000-4 2.247702+6 1.445000-4 2.255544+6 1.458000-4 2.244990+6 1.472000-4 2.215854+6 1.485000-4 2.176224+6 1.500000-4 2.119812+6 1.520000-4 2.033496+6 1.540000-4 1.940928+6 1.570000-4 1.800126+6 1.620000-4 1.577880+6 1.678804-4 1.347416+6 1.740000-4 1.142040+6 1.800000-4 9.707820+5 2.018366-4 5.509580+5 2.089296-4 4.667682+5 2.162719-4 3.980229+5 2.220000-4 3.547230+5 2.280000-4 3.171828+5 2.344229-4 2.842400+5 2.400000-4 2.606322+5 2.454709-4 2.412251+5 2.511886-4 2.242826+5 2.570396-4 2.099190+5 2.630268-4 1.978332+5 2.691535-4 1.877569+5 2.754229-4 1.794495+5 2.818383-4 1.726954+5 2.884032-4 1.673002+5 2.951209-4 1.630845+5 3.030000-4 1.594992+5 3.100000-4 1.572936+5 3.200000-4 1.553568+5 3.320000-4 1.543764+5 3.467369-4 1.544357+5 3.700000-4 1.559484+5 4.216965-4 1.602375+5 4.518559-4 1.615947+5 4.841724-4 1.617575+5 5.150000-4 1.607826+5 5.500000-4 1.585668+5 5.821032-4 1.557040+5 6.200000-4 1.515768+5 6.606934-4 1.465685+5 7.079458-4 1.402980+5 7.585776-4 1.333123+5 8.200000-4 1.248876+5 8.810489-4 1.167369+5 9.549926-4 1.074002+5 1.035142-3 9.807967+4 1.122018-3 8.890773+4 1.216186-3 8.007079+4 1.333521-3 7.047133+4 1.450000-3 6.231780+4 1.603245-3 5.334025+4 1.778279-3 4.501942+4 1.950000-3 3.842976+4 2.137962-3 3.260701+4 2.371374-3 2.689568+4 2.630268-3 2.201115+4 2.917427-3 1.787717+4 3.235937-3 1.441046+4 3.600000-3 1.145448+4 4.000000-3 9.058440+3 4.466836-3 7.025064+3 4.954502-3 5.493241+3 5.495409-3 4.263515+3 6.095369-3 3.284801+3 6.795000-3 2.479223+3 7.498942-3 1.907518+3 8.317638-3 1.438590+3 9.225714-3 1.077568+3 1.023293-2 8.016496+2 1.148154-2 5.723425+2 1.288250-2 4.056340+2 1.462177-2 2.757032+2 1.659587-2 1.864346+2 1.840772-2 1.344875+2 2.018366-2 9.974794+1 2.238721-2 7.075281+1 2.511886-2 4.795510+1 3.000000-2 2.610769+1 3.467369-2 1.577987+1 4.027170-2 9.303239+0 4.677351-2 5.438619+0 5.559043-2 2.903944+0 6.456542-2 1.674989+0 8.222426-2 6.820189-1 1.273503-1 1.333267-1 1.548817-1 6.465317-2 1.819701-1 3.586246-2 2.113489-1 2.089612-2 2.398833-1 1.331789-2 2.691535-1 8.900360-3 3.019952-1 5.990642-3 3.349654-1 4.224004-3 3.715352-1 2.999604-3 4.073803-1 2.227106-3 4.466836-1 1.664485-3 4.897788-1 1.252603-3 5.370318-1 9.495161-4 5.888437-1 7.252849-4 6.382635-1 5.770683-4 6.998420-1 4.478541-4 7.673615-1 3.502709-4 8.709636-1 2.511297-4 9.225714-1 2.172906-4 9.660509-1 1.945781-4 1.011579+0 1.752479-4 1.071519+0 1.548895-4 1.135011+0 1.377633-4 1.216186+0 1.205332-4 1.318257+0 1.039168-4 1.659587+0 6.919682-5 1.927525+0 5.326569-5 2.187762+0 4.301557-5 2.483133+0 3.498653-5 2.851018+0 2.813201-5 3.311311+0 2.238056-5 3.845918+0 1.793575-5 4.518559+0 1.423974-5 5.308844+0 1.139065-5 6.309573+0 9.037407-6 7.585776+0 7.117417-6 9.225714+0 5.566692-6 1.135011+1 4.325284-6 1.428894+1 3.295288-6 1.862087+1 2.432493-6 2.426610+1 1.810612-6 3.349654+1 1.273447-6 5.069907+1 8.202107-7 8.128305+1 5.016528-7 1.513561+2 2.653103-7 3.019952+2 1.318348-7 6.025596+2 6.575827-8 4.786301+3 8.246656-9 1.000000+5 3.94440-10 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 1.296600-4 1.296600-4 1.000000+5 1.296600-4 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 1.296600-4 0.0 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.500000+1 0.0 0.0 0.0 1.078000-5 1.331047+6 1.083927-5 1.306690+6 1.087000-5 1.296470+6 1.100000-5 1.264083+6 1.148154-5 1.163135+6 1.190000-5 1.093769+6 1.230269-5 1.040421+6 1.273503-5 9.946237+5 1.318257-5 9.585966+5 1.364583-5 9.310979+5 1.410000-5 9.124577+5 1.450000-5 9.021848+5 1.496236-5 8.967046+5 1.550000-5 8.978820+5 1.603245-5 9.061934+5 1.659587-5 9.217663+5 1.717908-5 9.447059+5 1.778279-5 9.751394+5 1.840772-5 1.013286+6 1.905461-5 1.059436+6 1.980000-5 1.120507+6 2.070000-5 1.204992+6 2.162719-5 1.303372+6 2.290868-5 1.457395+6 2.426610-5 1.641807+6 2.650000-5 1.988141+6 3.090295-5 2.794991+6 3.311311-5 3.238070+6 3.507519-5 3.638211+6 3.715352-5 4.060729+6 3.900000-5 4.428253+6 4.120975-5 4.850494+6 4.365158-5 5.291285+6 4.623810-5 5.728716+6 4.900000-5 6.160322+6 5.188000-5 6.572517+6 5.500000-5 6.979750+6 5.821032-5 7.351976+6 6.165950-5 7.691523+6 6.500000-5 7.955778+6 6.800000-5 8.130163+6 7.079458-5 8.233420+6 7.328245-5 8.277511+6 7.585776-5 8.276826+6 7.852356-5 8.227061+6 8.150000-5 8.115506+6 8.413951-5 7.973133+6 8.709636-5 7.772409+6 9.015711-5 7.524630+6 9.332543-5 7.231074+6 9.660509-5 6.895533+6 1.000000-4 6.524136+6 1.030000-4 6.180165+6 1.060000-4 5.824537+6 1.090000-4 5.462437+6 1.122018-4 5.075296+6 1.150000-4 4.740252+6 1.180000-4 4.386981+6 1.205000-4 4.099316+6 1.240000-4 3.711091+6 1.273503-4 3.359400+6 1.303167-4 3.066027+6 1.340000-4 2.725913+6 1.365000-4 2.510663+6 1.400000-4 2.231085+6 1.440000-4 1.942549+6 1.480000-4 1.685184+6 1.520000-4 1.456413+6 1.560000-4 1.254179+6 1.600000-4 1.076549+6 1.640590-4 9.189854+5 1.678804-4 7.891527+5 1.720000-4 6.671350+5 1.760000-4 5.647023+5 1.800000-4 4.763610+5 1.840772-4 3.990227+5 1.880000-4 3.351858+5 1.915000-4 2.859649+5 1.955000-4 2.376397+5 1.995262-4 1.965164+5 2.020000-4 1.745510+5 2.060000-4 1.437024+5 2.100000-4 1.179487+5 2.150000-4 9.191862+4 2.240900-4 5.875431+4 2.280000-4 4.896424+4 2.307000-4 4.348667+4 2.330000-4 3.955860+4 2.350000-4 3.664835+4 2.373000-4 3.383538+4 2.390000-4 3.209547+4 2.407000-4 3.062273+4 2.426610-4 2.923253+4 2.445000-4 2.820751+4 2.458000-4 2.763447+4 2.473000-4 2.711954+4 2.490000-4 2.671369+4 2.505000-4 2.650227+4 2.520000-4 2.641943+4 2.540000-4 2.649494+4 2.560000-4 2.676644+4 2.580000-4 2.721722+4 2.600160-4 2.783713+4 2.620000-4 2.859520+4 2.650000-4 2.999118+4 2.680000-4 3.165113+4 2.722701-4 3.439486+4 2.851018-4 4.447707+4 2.917427-4 5.033224+4 2.980000-4 5.603223+4 3.030000-4 6.062394+4 3.090295-4 6.611793+4 3.157400-4 7.211213+4 3.221870-4 7.771235+4 3.273407-4 8.205171+4 3.349654-4 8.820207+4 3.427678-4 9.411442+4 3.507519-4 9.972327+4 3.589219-4 1.049727+5 3.672823-4 1.098177+5 3.758374-4 1.142249+5 3.845918-4 1.181732+5 3.935501-4 1.216530+5 4.107600-4 1.273252+5 4.216965-4 1.301995+5 4.365158-4 1.330864+5 4.518559-4 1.349848+5 4.677351-4 1.359469+5 4.841724-4 1.360486+5 5.069907-4 1.351271+5 5.248075-4 1.338579+5 5.495409-4 1.312292+5 5.754399-4 1.276786+5 6.025596-4 1.233860+5 6.309573-4 1.185829+5 6.606934-4 1.133097+5 7.000000-4 1.062170+5 7.413102-4 9.888649+4 7.852356-4 9.138739+4 8.317638-4 8.391306+4 8.810489-4 7.658335+4 9.440609-4 6.811567+4 1.011579-3 6.011936+4 1.083927-3 5.268578+4 1.161449-3 4.585721+4 1.244515-3 3.965602+4 1.348963-3 3.321557+4 1.462177-3 2.760539+4 1.584893-3 2.278787+4 1.717908-3 1.868506+4 1.862087-3 1.521952+4 2.041738-3 1.194755+4 2.238721-3 9.310220+3 2.454709-3 7.200702+3 2.691535-3 5.528672+3 2.951209-3 4.214979+3 3.235937-3 3.191993+3 3.548134-3 2.401145+3 3.890451-3 1.794344+3 4.315191-3 1.283172+3 4.731513-3 9.459502+2 5.248075-3 6.648925+2 5.821032-3 4.638470+2 6.531306-3 3.085936+2 7.244360-3 2.123601+2 8.035261-3 1.451452+2 8.912509-3 9.852000+1 1.000000-2 6.357013+1 1.122018-2 4.066003+1 1.273503-2 2.467356+1 1.479108-2 1.355676+1 1.698244-2 7.765584+0 1.883649-2 5.081472+0 2.089296-2 3.294228+0 2.344229-2 2.019955+0 2.660725-2 1.170733+0 3.507519-2 3.512155-1 4.315191-2 1.412148-1 5.559043-2 4.599364-2 9.332543-2 4.601269-3 1.188502-1 1.579618-3 1.380384-1 8.205408-4 1.548817-1 4.987905-4 1.778279-1 2.768073-4 2.041738-1 1.548123-4 2.317395-1 9.142560-5 2.600160-1 5.702701-5 2.917427-1 3.583665-5 3.235937-1 2.376621-5 3.589219-1 1.587732-5 3.981072-1 1.068886-5 4.365158-1 7.570028-6 4.786301-1 5.398236-6 5.308844-1 3.719829-6 5.754399-1 2.805050-6 6.025596-1 2.396794-6 6.456542-1 1.912007-6 6.998420-1 1.480837-6 8.035261-1 9.678308-7 8.511380-1 8.027997-7 8.912509-1 6.947808-7 9.332543-1 6.052921-7 9.660509-1 5.488514-7 1.000000+0 5.005000-7 1.035142+0 4.593001-7 1.071519+0 4.239032-7 1.109175+0 3.932304-7 1.161449+0 3.582031-7 1.216186+0 3.284204-7 1.303167+0 2.906348-7 1.412538+0 2.540885-7 1.500000+0 2.305900-7 1.927525+0 1.483277-7 2.162719+0 1.220627-7 2.454709+0 9.921755-8 2.818383+0 7.973198-8 3.273407+0 6.339628-8 3.801894+0 5.077770-8 4.466836+0 4.029137-8 5.248075+0 3.221265-8 6.237348+0 2.554459-8 7.498942+0 2.010802-8 9.120108+0 1.571951-8 1.122018+1 1.220863-8 1.428894+1 9.173994-9 1.840772+1 6.860238-9 2.371374+1 5.170761-9 3.162278+1 3.772673-9 4.415704+1 2.641723-9 6.683439+1 1.710714-9 1.071519+2 1.051269-9 1.883649+2 5.91577-10 3.758374+2 2.94351-10 1.496236+3 7.35469-11 2.371374+4 4.63086-12 1.000000+5 1.09810-12 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.500000+1 0.0 0.0 0.0 1.078000-5 1.078000-5 1.000000+5 1.078000-5 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.500000+1 0.0 0.0 0.0 1.078000-5 0.0 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.600000+1 0.0 0.0 0.0 9.020000-6 2.306733+6 9.120108-6 2.230974+6 9.440609-6 2.062287+6 9.772372-6 1.920075+6 1.011579-5 1.800750+6 1.047129-5 1.701585+6 1.085000-5 1.617710+6 1.122018-5 1.553534+6 1.161449-5 1.501767+6 1.202264-5 1.462992+6 1.244515-5 1.436090+6 1.290000-5 1.420058+6 1.333521-5 1.415529+6 1.380384-5 1.420925+6 1.428894-5 1.436402+6 1.480000-5 1.462224+6 1.531087-5 1.496758+6 1.592100-5 1.548248+6 1.659587-5 1.616816+6 1.737801-5 1.710032+6 1.819701-5 1.822080+6 1.905461-5 1.953960+6 2.018366-5 2.148431+6 2.150000-5 2.402408+6 2.317395-5 2.764151+6 2.917427-5 4.321500+6 3.150000-5 4.983341+6 3.350000-5 5.551964+6 3.570000-5 6.164519+6 3.758374-5 6.666388+6 3.981072-5 7.225479+6 4.220000-5 7.784634+6 4.466836-5 8.314310+6 4.731513-5 8.829204+6 5.069907-5 9.421009+6 5.400000-5 9.923322+6 5.754399-5 1.038034+7 6.095369-5 1.073413+7 6.400000-5 1.096424+7 6.683439-5 1.110346+7 6.918310-5 1.116244+7 7.161434-5 1.116570+7 7.413102-5 1.110821+7 7.673615-5 1.099002+7 7.943282-5 1.081088+7 8.222426-5 1.056776+7 8.511380-5 1.026087+7 8.810489-5 9.898850+6 9.120108-5 9.486029+6 9.440609-5 9.021750+6 9.772372-5 8.511919+6 1.010000-4 7.992292+6 1.040000-4 7.507491+6 1.071519-4 6.991974+6 1.100000-4 6.527148+6 1.128000-4 6.077662+6 1.161449-4 5.554962+6 1.190000-4 5.123101+6 1.220000-4 4.686861+6 1.250000-4 4.272872+6 1.280000-4 3.883677+6 1.315000-4 3.461111+6 1.350000-4 3.072014+6 1.390000-4 2.669128+6 1.430000-4 2.310356+6 1.465000-4 2.029864+6 1.500000-4 1.777841+6 1.540000-4 1.522458+6 1.580000-4 1.299424+6 1.620000-4 1.105172+6 1.650000-4 9.762293+5 1.690000-4 8.244520+5 1.720000-4 7.245263+5 1.760000-4 6.079262+5 1.798871-4 5.106390+5 1.835000-4 4.325889+5 1.865000-4 3.758963+5 1.900000-4 3.181488+5 1.940000-4 2.619751+5 1.980000-4 2.148710+5 2.020000-4 1.755704+5 2.065380-4 1.391405+5 2.190000-4 7.389091+4 2.220000-4 6.405491+4 2.250000-4 5.600221+4 2.270000-4 5.152810+4 2.290868-4 4.755510+4 2.308600-4 4.469452+4 2.323000-4 4.269563+4 2.340000-4 4.068483+4 2.358000-4 3.893997+4 2.373000-4 3.776706+4 2.390000-4 3.672534+4 2.407000-4 3.596837+4 2.423000-4 3.549791+4 2.440000-4 3.523705+4 2.458000-4 3.520997+4 2.473000-4 3.536923+4 2.490000-4 3.573517+4 2.511886-4 3.647378+4 2.530000-4 3.729363+4 2.550000-4 3.839820+4 2.573000-4 3.990214+4 2.600160-4 4.196261+4 2.640000-4 4.545603+4 2.754229-4 5.749777+4 2.818383-4 6.500104+4 2.884032-4 7.312007+4 2.951209-4 8.180600+4 3.000000-4 8.829549+4 3.054921-4 9.502672+4 3.090295-4 9.929650+4 3.162278-4 1.077703+5 3.235937-4 1.160691+5 3.311311-4 1.240933+5 3.388442-4 1.317516+5 3.467369-4 1.389635+5 3.548134-4 1.456613+5 3.630781-4 1.517916+5 3.715352-4 1.573160+5 3.801894-4 1.622114+5 3.890451-4 1.664694+5 4.073803-4 1.735576+5 4.216965-4 1.777741+5 4.365158-4 1.806269+5 4.518559-4 1.821748+5 4.677351-4 1.825108+5 4.841724-4 1.817550+5 5.128614-4 1.787441+5 5.370318-4 1.750512+5 5.623413-4 1.701561+5 5.888437-4 1.642896+5 6.165950-4 1.577269+5 6.456542-4 1.505986+5 6.839116-4 1.410918+5 7.244360-4 1.311930+5 7.673615-4 1.211327+5 8.128305-4 1.111083+5 8.609938-4 1.012972+5 9.120108-4 9.181849+4 9.772372-4 8.102582+4 1.047129-3 7.102392+4 1.122018-3 6.183838+4 1.202264-3 5.349183+4 1.288250-3 4.598496+4 1.396368-3 3.825929+4 1.513561-3 3.159538+4 1.640590-3 2.591367+4 1.798871-3 2.050348+4 1.972423-3 1.609924+4 2.162719-3 1.256487+4 2.344229-3 1.005334+4 2.511886-3 8.258797+3 2.722701-3 6.520911+3 2.951209-3 5.116043+3 3.235937-3 3.848858+3 3.548134-3 2.874528+3 3.890451-3 2.132415+3 4.315191-3 1.512711+3 4.897788-3 9.862300+2 5.432503-3 6.900778+2 6.025596-3 4.793695+2 6.606934-3 3.445441+2 7.328245-3 2.359326+2 8.128305-3 1.604278+2 9.015711-3 1.083489+2 1.000000-2 7.269797+1 1.122018-2 4.626447+1 1.273503-2 2.791465+1 1.462177-2 1.596241+1 1.678804-2 9.091464+0 1.862087-2 5.922139+0 2.065380-2 3.815422+0 2.317395-2 2.321814+0 2.951209-2 8.061903-1 3.548134-2 3.574768-1 4.168694-2 1.743156-1 5.188000-2 6.513134-2 9.772372-2 3.710111-3 1.161449-1 1.709214-3 1.348963-1 8.791357-4 1.531088-1 5.041766-4 1.737801-1 2.912884-4 1.972423-1 1.695585-4 2.213095-1 1.043775-4 2.454709-1 6.789340-5 2.722701-1 4.447607-5 3.000000-1 3.014900-5 3.273407-1 2.141004-5 3.548134-1 1.570430-5 3.845918-1 1.159154-5 4.216965-1 8.255859-6 4.570882-1 6.178707-6 4.954502-1 4.657347-6 5.370318-1 3.536220-6 5.754399-1 2.810830-6 6.095369-1 2.333975-6 6.531306-1 1.882028-6 7.079458-1 1.475906-6 7.673615-1 1.166142-6 8.035261-1 1.021518-6 8.511380-1 8.616295-7 9.015711-1 7.316332-7 9.440609-1 6.460740-7 9.885531-1 5.746017-7 1.035142+0 5.152655-7 1.083927+0 4.655142-7 1.135011+0 4.232602-7 1.202264+0 3.786044-7 1.303167+0 3.270787-7 1.428894+0 2.792060-7 1.513561+0 2.533546-7 1.883649+0 1.722736-7 2.113489+0 1.416080-7 2.398833+0 1.149680-7 2.754229+0 9.226835-8 3.198895+0 7.327534-8 3.715352+0 5.862496-8 4.365158+0 4.646684-8 5.128614+0 3.711070-8 6.095369+0 2.939842-8 7.244360+0 2.346256-8 8.810489+0 1.831722-8 1.083927+1 1.420709-8 1.364583+1 1.080634-8 1.800000+1 7.854300-9 2.344229+1 5.845890-9 3.126079+1 4.264299-9 4.265795+1 3.058966-9 6.382635+1 2.003442-9 9.885531+1 1.274666-9 1.757924+2 7.08275-10 3.507519+2 3.52282-10 6.998420+2 1.75855-10 5.559043+3 2.20628-11 1.000000+5 1.22580-12 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.600000+1 0.0 0.0 0.0 9.020000-6 9.020000-6 1.000000+5 9.020000-6 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.600000+1 0.0 0.0 0.0 9.020000-6 0.0 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 6.088000-5 4.480620+5 6.165950-5 4.378579+5 6.290000-5 4.155120+5 6.450000-5 3.859800+5 6.683439-5 3.445859+5 7.500000-5 2.340460+5 7.852356-5 2.018501+5 8.222426-5 1.752633+5 8.609938-5 1.533682+5 9.015711-5 1.352164+5 9.500000-5 1.181304+5 1.000000-4 1.042348+5 1.060000-4 9.110100+4 1.122018-4 8.044446+4 1.190000-4 7.126080+4 1.260000-4 6.384200+4 1.333521-4 5.770093+4 1.412538-4 5.247590+4 1.500000-4 4.787400+4 1.620000-4 4.292620+4 1.778279-4 3.793052+4 1.995262-4 3.281006+4 2.238721-4 2.859145+4 3.507519-4 1.699353+4 4.168694-4 1.383219+4 5.069907-4 1.088044+4 6.095369-4 8.606650+3 7.161434-4 6.967009+3 8.609938-4 5.428571+3 1.023293-3 4.263481+3 1.230269-3 3.269614+3 1.496236-3 2.445237+3 1.832530-3 1.794568+3 2.264644-3 1.288889+3 2.851018-3 8.922000+2 3.630781-3 6.017026+2 4.623810-3 4.026125+2 5.754399-3 2.778026+2 7.079458-3 1.940015+2 8.609938-3 1.371721+2 1.047129-2 9.626459+1 1.273503-2 6.703599+1 1.548817-2 4.631579+1 1.862087-2 3.246496+1 2.238721-2 2.259152+1 2.818383-2 1.422433+1 3.273407-2 1.046115+1 3.935501-2 7.110250+0 4.731513-2 4.794712+0 5.688529-2 3.207738+0 6.918310-2 2.075881+0 8.317638-2 1.368191+0 1.035142-1 8.262979-1 1.333521-1 4.569547-1 1.678804-1 2.650471-1 2.570396-1 9.644823-2 3.198895-1 5.775660-2 3.890451-1 3.677969-2 4.623810-1 2.487888-2 5.308844-1 1.831302-2 6.165950-1 1.323453-2 7.161434-1 9.633049-3 8.413951-1 6.897893-3 9.549926-1 5.340738-3 1.161449+0 3.637295-3 1.303167+0 2.916583-3 1.479108+0 2.304439-3 1.678804+0 1.835876-3 1.927525+0 1.444159-3 2.187762+0 1.166433-3 2.483133+0 9.487015-4 2.851018+0 7.628496-4 3.311311+0 6.068987-4 3.845918+0 4.863706-4 4.518559+0 3.861429-4 5.308844+0 3.088795-4 6.309573+0 2.450650-4 7.585776+0 1.930011-4 9.225714+0 1.509560-4 1.135011+1 1.172924-4 1.428894+1 8.935858-5 1.840772+1 6.682202-5 2.371374+1 5.036593-5 3.162278+1 3.674733-5 4.415704+1 2.573211-5 6.683439+1 1.666324-5 1.083927+2 1.011951-5 1.905461+2 5.695420-6 3.801894+2 2.833999-6 1.513561+3 7.081669-7 2.398833+4 4.458951-8 1.000000+5 1.069600-8 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 6.088000-5 6.088000-5 1.000000+5 6.088000-5 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 6.088000-5 0.0 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 3.879000-5 1.088150+7 3.910000-5 1.034850+7 3.940000-5 9.894760+6 4.000000-5 9.103400+6 4.073803-5 8.306277+6 4.150000-5 7.631960+6 4.229500-5 7.039295+6 4.330000-5 6.416680+6 4.450000-5 5.805100+6 4.598600-5 5.183617+6 4.800000-5 4.508060+6 5.128614-5 3.669946+6 6.025596-5 2.241031+6 7.762471-5 1.020723+6 8.709636-5 7.187057+5 1.059254-4 4.005206+5 1.462177-4 1.539740+5 1.720000-4 9.578180+4 1.972423-4 6.462929+4 2.220000-4 4.634120+4 2.454709-4 3.516733+4 2.691535-4 2.749887+4 2.917427-4 2.233553+4 3.126079-4 1.880475+4 3.350000-4 1.592746+4 3.600000-4 1.349312+4 3.850000-4 1.163874+4 4.120975-4 1.009724+4 4.365158-4 9.007497+3 4.677351-4 7.911823+3 5.011872-4 7.000483+3 5.370318-4 6.241371+3 5.754399-4 5.603538+3 6.237348-4 4.981477+3 6.760830-4 4.460442+3 7.413102-4 3.961286+3 8.317638-4 3.444871+3 9.660509-4 2.899458+3 1.412538-3 1.892840+3 1.678804-3 1.549342+3 1.972423-3 1.276390+3 2.290868-3 1.058368+3 2.660725-3 8.712973+2 3.090295-3 7.119919+2 3.589219-3 5.773497+2 4.120975-3 4.723669+2 4.731513-3 3.836976+2 5.432503-3 3.093280+2 6.237348-3 2.474451+2 7.079458-3 2.002447+2 8.035261-3 1.609058+2 9.120108-3 1.284280+2 1.035142-2 1.018061+2 1.174898-2 8.015915+1 1.348963-2 6.128828+1 1.621810-2 4.240686+1 1.840772-2 3.273499+1 2.089296-2 2.500890+1 2.398833-2 1.849533+1 2.754229-2 1.357530+1 3.235937-2 9.383551+0 3.758374-2 6.607835+0 4.365158-2 4.617433+0 5.128614-2 3.113399+0 6.025596-2 2.083348+0 7.161434-2 1.343902+0 8.709636-2 8.111204-1 1.071519-1 4.715627-1 1.462177-1 2.068918-1 2.317395-1 6.086693-2 2.851018-1 3.532035-2 3.388442-1 2.259047-2 3.981072-1 1.499491-2 4.570882-1 1.062676-2 5.248075-1 7.587582-3 5.956621-1 5.613408-3 6.683439-1 4.298916-3 7.498942-1 3.314707-3 8.609938-1 2.445608-3 9.440609-1 2.010425-3 1.023293+0 1.705268-3 1.161449+0 1.327617-3 1.288250+0 1.088788-3 1.462177+0 8.618284-4 1.678804+0 6.727884-4 1.927525+0 5.290937-4 2.187762+0 4.273575-4 2.511886+0 3.412370-4 2.884032+0 2.745474-4 3.349654+0 2.185421-4 3.890451+0 1.752358-4 4.570882+0 1.391950-4 5.370318+0 1.114031-4 6.382635+0 8.843528-5 7.673615+0 6.968083-5 9.332543+0 5.452384-5 1.148154+1 4.238339-5 1.445440+1 3.230380-5 1.862087+1 2.416635-5 2.400000+1 1.821000-5 3.235937+1 1.313215-5 4.731513+1 8.763613-6 7.413102+1 5.482089-6 1.333521+2 2.999088-6 2.660725+2 1.488505-6 5.308844+2 7.419797-7 4.216965+3 9.299463-8 1.000000+5 3.918700-9 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 3.879000-5 3.879000-5 1.000000+5 3.879000-5 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 3.879000-5 0.0 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 2.510000-5 3.073736+7 2.520000-5 2.968632+7 2.560000-5 2.680976+7 2.600160-5 2.441502+7 2.630268-5 2.285756+7 2.690000-5 2.025952+7 2.750000-5 1.813308+7 2.818383-5 1.614632+7 2.900000-5 1.421504+7 2.985383-5 1.257254+7 3.090295-5 1.093842+7 3.230000-5 9.228000+6 3.400000-5 7.639600+6 3.630781-5 6.050710+6 3.935501-5 4.581397+6 4.500000-5 2.911524+6 5.128614-5 1.884310+6 5.623413-5 1.395337+6 6.095369-5 1.079543+6 6.531306-5 8.717311+5 7.000000-5 7.080480+5 7.500000-5 5.798240+5 8.000000-5 4.845160+5 8.511380-5 4.106912+5 9.015711-5 3.545582+5 9.549926-5 3.080931+5 1.011579-4 2.694836+5 1.071519-4 2.372589+5 1.135011-4 2.101951+5 1.216186-4 1.831322+5 1.303167-4 1.607574+5 1.400000-4 1.414732+5 1.500000-4 1.259328+5 1.621810-4 1.112374+5 1.757924-4 9.862350+4 1.927525-4 8.661350+4 2.162719-4 7.423751+4 2.483133-4 6.219221+4 2.985383-4 4.957856+4 4.315191-4 3.167914+4 5.308844-4 2.444859+4 6.382635-4 1.927133+4 7.521360-4 1.547596+4 8.810489-4 1.243686+4 1.035142-3 9.878811+3 1.216186-3 7.785699+3 1.412538-3 6.194056+3 1.659587-3 4.805548+3 1.949845-3 3.700643+3 2.290868-3 2.828852+3 2.691535-3 2.146445+3 3.198895-3 1.583936+3 3.758374-3 1.183702+3 4.365158-3 8.966762+2 5.069907-3 6.742738+2 5.888437-3 5.031322+2 6.795000-3 3.773619+2 7.852356-3 2.798948+2 9.015711-3 2.088951+2 1.071519-2 1.436298+2 1.230269-2 1.056951+2 1.412538-2 7.718818+1 1.584893-2 5.900341+1 1.798871-2 4.359526+1 2.065380-2 3.109808+1 2.371374-2 2.201412+1 2.722701-2 1.546744+1 3.126079-2 1.078890+1 3.589219-2 7.472647+0 4.120975-2 5.140490+0 4.786301-2 3.401947+0 5.623413-2 2.163765+0 6.531306-2 1.411454+0 7.852356-2 8.275026-1 9.660509-2 4.500108-1 1.230269-1 2.189802-1 2.018366-1 4.974050-2 2.483133-1 2.689710-2 2.951209-1 1.623125-2 3.427678-1 1.055440-2 3.935501-1 7.147120-3 4.466836-1 5.036850-3 5.011872-1 3.689422-3 5.623413-1 2.721680-3 6.237348-1 2.083629-3 6.918310-1 1.605997-3 7.673615-1 1.246111-3 8.709636-1 9.184333-4 9.332543-1 7.824260-4 9.885531-1 6.885873-4 1.059254+0 5.953486-4 1.148154+0 5.064825-4 1.250000+0 4.304300-4 1.380384+0 3.588038-4 1.757924+0 2.334638-4 2.000000+0 1.868400-4 2.264644+0 1.518156-4 2.600160+0 1.214610-4 3.000000+0 9.716300-5 3.467369+0 7.805392-5 4.027170+0 6.268858-5 4.731513+0 4.987877-5 5.559043+0 3.998174-5 6.606934+0 3.178515-5 7.943282+0 2.508172-5 9.660509+0 1.965192-5 1.188502+1 1.529525-5 1.479108+1 1.182911-5 1.883649+1 8.971284-6 2.454709+1 6.679286-6 3.388442+1 4.699685-6 5.128614+1 3.027696-6 8.128305+1 1.874359-6 1.513561+2 9.912843-7 3.019952+2 4.925724-7 6.025596+2 2.456874-7 4.786301+3 3.081160-8 1.000000+5 1.473700-9 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 2.510000-5 2.510000-5 1.000000+5 2.510000-5 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 2.510000-5 0.0 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 5.710000-6 1.054726+7 5.860000-6 9.788720+6 6.700000-6 6.461880+6 7.700000-6 4.229880+6 8.810489-6 2.828501+6 1.011579-5 1.886556+6 1.161449-5 1.267085+6 1.364583-5 8.032434+5 1.584893-5 5.300430+5 1.862087-5 3.412765+5 2.150000-5 2.321280+5 2.426610-5 1.688621+5 2.754229-5 1.219508+5 3.054921-5 9.406424+4 3.388442-5 7.309028+4 3.715352-5 5.881319+4 4.073803-5 4.762834+4 4.466836-5 3.884476+4 4.900000-5 3.188260+4 5.432503-5 2.579016+4 5.956621-5 2.149320+4 6.531306-5 1.804254+4 7.244360-5 1.493258+4 7.943282-5 1.271270+4 8.810489-5 1.069013+4 9.800000-5 9.008300+3 1.122018-4 7.315609+3 1.244515-4 6.272815+3 1.412538-4 5.234204+3 1.566751-4 4.544854+3 1.798871-4 3.794497+3 2.113489-4 3.088144+3 2.786121-4 2.146367+3 4.073803-4 1.296808+3 5.011872-4 9.889802+2 6.382635-4 7.103362+2 8.222426-4 5.002355+2 9.660509-4 3.968575+2 1.230269-3 2.780198+2 1.513561-3 2.034566+2 1.883649-3 1.450333+2 2.371374-3 1.007327+2 2.861270-3 7.441200+1 3.126079-3 6.407014+1 5.069907-3 2.862494+1 6.095369-3 2.094674+1 7.498942-3 1.458756+1 9.225714-3 1.008114+1 1.122018-2 7.057327+0 1.364583-2 4.902791+0 1.659587-2 3.379567+0 1.995262-2 2.363818+0 2.398833-2 1.641457+0 2.884032-2 1.131359+0 3.467369-2 7.730175-1 4.168694-2 5.240858-1 5.011872-2 3.525245-1 6.025596-2 2.353390-1 7.328245-2 1.518765-1 9.015711-2 9.474682-2 1.071519-1 6.354541-2 1.396368-1 3.412188-2 2.691535-1 7.211051-3 3.349654-1 4.324027-3 4.000000-1 2.875500-3 4.731513-1 1.970437-3 5.495409-1 1.416687-3 6.309573-1 1.051659-3 7.328245-1 7.674661-4 8.413951-1 5.780038-4 9.660509-1 4.384408-4 1.202264+0 2.860308-4 1.364583+0 2.248436-4 1.531087+0 1.818242-4 1.737801+0 1.451422-4 2.000000+0 1.139400-4 2.264644+0 9.258808-5 2.600160+0 7.407375-5 3.000000+0 5.925100-5 3.467369+0 4.759847-5 4.027170+0 3.822868-5 4.731513+0 3.041661-5 5.559043+0 2.438129-5 6.606934+0 1.938324-5 7.943282+0 1.529504-5 9.660509+0 1.198435-5 1.188502+1 9.327371-6 1.479108+1 7.213810-6 1.883649+1 5.470809-6 2.454709+1 4.073167-6 3.388442+1 2.865976-6 5.128614+1 1.846356-6 8.222427+1 1.129477-6 1.531087+2 5.974663-7 3.054921+2 2.969113-7 6.095369+2 1.481056-7 4.841724+3 1.857436-8 1.000000+5 8.98710-10 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 5.710000-6 5.710000-6 1.000000+5 5.710000-6 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 5.710000-6 0.0 1.000000+5 1.000000+5 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 9.535530-7 1.025500+0 1.344260-6 1.025800+0 1.718500-6 1.026100+0 2.156070-6 1.026600+0 3.039560-6 1.027100+0 4.135380-6 1.027500+0 5.179520-6 1.028100+0 7.051820-6 1.028750+0 9.535530-6 1.029500+0 1.304960-5 1.030100+0 1.641150-5 1.031000+0 2.245650-5 1.032000+0 3.072610-5 1.033200+0 4.304210-5 1.034000+0 5.283820-5 1.035300+0 7.172030-5 1.036640+0 9.535530-5 1.038200+0 1.286850-4 1.039700+0 1.671880-4 1.041500+0 2.224410-4 1.043800+0 3.087560-4 1.046400+0 4.295770-4 1.048300+0 5.348340-4 1.051200+0 7.254910-4 1.054080+0 9.535530-4 1.057700+0 1.299750-3 1.061100+0 1.690640-3 1.065100+0 2.238210-3 1.070400+0 3.122520-3 1.076200+0 4.315300-3 1.080600+0 5.389100-3 1.087100+0 7.260930-3 1.093710+0 9.535530-3 1.102600+0 1.322140-2 1.110700+0 1.724400-2 1.120600+0 2.306880-2 1.133300+0 3.207800-2 1.147500+0 4.429270-2 1.158200+0 5.504490-2 1.174100+0 7.356340-2 1.190110+0 9.535530-2 1.205100+0 1.186580-1 1.227500+0 1.587680-1 1.250000+0 2.053000-1 1.280300+0 2.773950-1 1.307700+0 3.513380-1 1.343000+0 4.577440-1 1.382200+0 5.886570-1 1.411700+0 6.945960-1 1.455800+0 8.621620-1 1.500000+0 1.038000+0 1.562500+0 1.293280+0 1.641100+0 1.616260+0 1.706900+0 1.882630+0 1.811600+0 2.293210+0 1.952900+0 2.823620+0 2.000000+0 2.997000+0 2.044000+0 3.158000+0 2.163500+0 3.582460+0 2.372600+0 4.277850+0 2.686300+0 5.220330+0 3.000000+0 6.068000+0 3.500000+0 7.281170+0 4.000000+0 8.377000+0 5.000000+0 1.030000+1 6.000000+0 1.191000+1 7.000000+0 1.338000+1 8.000000+0 1.471000+1 9.000000+0 1.593000+1 1.000000+1 1.706000+1 1.100000+1 1.811000+1 1.200000+1 1.909000+1 1.300000+1 2.001000+1 1.400000+1 2.087000+1 1.500000+1 2.167000+1 1.600000+1 2.243000+1 1.800000+1 2.380000+1 2.000000+1 2.502000+1 2.200000+1 2.613000+1 2.400000+1 2.715000+1 2.600000+1 2.809000+1 2.800000+1 2.894000+1 3.000000+1 2.973000+1 4.000000+1 3.294000+1 5.000000+1 3.533000+1 6.000000+1 3.719000+1 8.000000+1 3.992000+1 1.000000+2 4.184000+1 1.500000+2 4.486000+1 2.000000+2 4.666000+1 3.000000+2 4.875000+1 4.000000+2 4.995000+1 5.000000+2 5.073000+1 6.000000+2 5.130000+1 8.000000+2 5.204000+1 1.000000+3 5.252000+1 1.500000+3 5.321000+1 2.000000+3 5.360000+1 3.000000+3 5.399000+1 4.000000+3 5.424000+1 5.000000+3 5.438000+1 6.000000+3 5.448000+1 8.000000+3 5.461000+1 1.000000+4 5.469000+1 1.500000+4 5.479000+1 2.000000+4 5.485000+1 3.000000+4 5.491000+1 4.000000+4 5.495000+1 5.000000+4 5.497000+1 6.000000+4 5.499000+1 8.000000+4 5.500000+1 1.000000+5 5.501000+1 1 98000 7 8 2.510000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 9.800900-7 2.090400+0 1.330720-6 2.094700+0 1.725480-6 2.099900+0 2.295510-6 2.106600+0 3.193240-6 2.114000+0 4.418250-6 2.119500+0 5.500690-6 2.127900+0 7.459980-6 2.136250+0 9.800900-6 2.147000+0 1.343770-5 2.156900+0 1.745400-5 2.169000+0 2.329340-5 2.184500+0 3.237870-5 2.201800+0 4.479680-5 2.214800+0 5.581330-5 2.234200+0 7.507880-5 2.253680+0 9.800900-5 2.281500+0 1.372790-4 2.307000+0 1.803150-4 2.338200+0 2.424490-4 2.377400+0 3.357620-4 2.410200+0 4.270320-4 2.446800+0 5.432090-4 2.485900+0 6.839300-4 2.532900+0 8.752870-4 2.556430+0 9.800900-4 2.611900+0 1.249740-3 2.660400+0 1.510880-3 2.745300+0 2.022250-3 2.809000+0 2.449080-3 2.904500+0 3.155020-3 3.000000+0 3.938000-3 3.125000+0 5.077380-3 3.234400+0 6.177210-3 3.425800+0 8.315950-3 3.569300+0 1.008130-2 3.784700+0 1.295400-2 4.000000+0 1.604000-2 4.250000+0 1.981020-2 4.625000+0 2.573040-2 5.000000+0 3.188000-2 5.500000+0 4.031400-2 6.000000+0 4.885000-2 6.750000+0 6.152490-2 7.000000+0 6.569000-2 8.000000+0 8.196000-2 9.000000+0 9.748000-2 1.000000+1 1.122000-1 1.100000+1 1.260000-1 1.200000+1 1.391000-1 1.300000+1 1.513000-1 1.400000+1 1.630000-1 1.500000+1 1.740000-1 1.600000+1 1.844000-1 1.800000+1 2.036000-1 2.000000+1 2.210000-1 2.200000+1 2.368000-1 2.400000+1 2.514000-1 2.600000+1 2.647000-1 2.800000+1 2.771000-1 3.000000+1 2.885000-1 4.000000+1 3.355000-1 5.000000+1 3.707000-1 6.000000+1 3.984000-1 8.000000+1 4.395000-1 1.000000+2 4.691000-1 1.500000+2 5.174000-1 2.000000+2 5.473000-1 3.000000+2 5.834000-1 4.000000+2 6.048000-1 5.000000+2 6.194000-1 6.000000+2 6.300000-1 8.000000+2 6.446000-1 1.000000+3 6.543000-1 1.500000+3 6.686000-1 2.000000+3 6.768000-1 3.000000+3 6.856000-1 4.000000+3 6.909000-1 5.000000+3 6.941000-1 6.000000+3 6.963000-1 8.000000+3 6.993000-1 1.000000+4 7.012000-1 1.500000+4 7.037000-1 2.000000+4 7.053000-1 3.000000+4 7.066000-1 4.000000+4 7.076000-1 5.000000+4 7.081000-1 6.000000+4 7.085000-1 8.000000+4 7.088000-1 1.000000+5 7.091000-1 1 98000 7 8 2.510000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 98000 7 9 2.510000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 9.800000+1 1.000000+5 9.800000+1 5.000000+5 9.796200+1 1.000000+6 9.790200+1 1.375000+6 9.784230+1 1.500000+6 9.781500+1 1.875000+6 9.771220+1 2.000000+6 9.767300+1 2.375000+6 9.753670+1 2.500000+6 9.749600+1 2.875000+6 9.733270+1 3.000000+6 9.728300+1 3.437500+6 9.706550+1 3.812500+6 9.686520+1 4.000000+6 9.676900+1 4.437500+6 9.651830+1 4.812500+6 9.628660+1 5.000000+6 9.617400+1 5.500000+6 9.583390+1 5.875000+6 9.556440+1 6.437500+6 9.514510+1 7.000000+6 9.471500+1 7.875000+6 9.402420+1 9.000000+6 9.311600+1 1.000000+7 9.227100+1 1.250000+7 9.013400+1 1.500000+7 8.788100+1 1.750000+7 8.556300+1 2.000000+7 8.318200+1 2.250000+7 8.074500+1 2.500000+7 7.831400+1 2.875000+7 7.476270+1 3.000000+7 7.362400+1 3.437500+7 6.979100+1 3.500000+7 6.926610+1 4.000000+7 6.531500+1 4.500000+7 6.174320+1 4.750000+7 6.007640+1 5.000000+7 5.849100+1 5.750000+7 5.409700+1 6.000000+7 5.275300+1 6.750000+7 4.901360+1 7.000000+7 4.786800+1 8.000000+7 4.373700+1 9.000000+7 4.025300+1 1.000000+8 3.727200+1 1.125000+8 3.403910+1 1.218800+8 3.185880+1 1.250000+8 3.116900+1 1.359400+8 2.886210+1 1.437500+8 2.730870+1 1.453100+8 2.700340+1 1.500000+8 2.611100+1 1.625000+8 2.384280+1 1.718800+8 2.228120+1 1.750000+8 2.179250+1 2.000000+8 1.839400+1 2.171900+8 1.657410+1 2.289100+8 1.557240+1 2.394500+8 1.482920+1 2.500000+8 1.422600+1 2.625000+8 1.366560+1 2.859400+8 1.279170+1 3.000000+8 1.225300+1 3.125000+8 1.172970+1 3.500000+8 1.028000+1 3.812500+8 9.403390+0 3.937500+8 9.060350+0 4.000000+8 8.879900+0 4.125000+8 8.497590+0 4.234400+8 8.152580+0 4.500000+8 7.324390+0 5.000000+8 6.079400+0 5.234400+8 5.655040+0 5.507800+8 5.258730+0 5.877000+8 4.836980+0 6.000000+8 4.716500+0 6.437500+8 4.348110+0 6.750000+8 4.132250+0 6.812500+8 4.093020+0 7.000000+8 3.983200+0 7.625000+8 3.666110+0 7.875000+8 3.540850+0 8.000000+8 3.476200+0 8.250000+8 3.340890+0 8.468800+8 3.219980+0 8.851600+8 3.009780+0 1.000000+9 2.462100+0 1.062500+9 2.235530+0 1.125000+9 2.051430+0 1.141100+9 2.009900+0 1.206900+9 1.860030+0 1.280200+9 1.725620+0 1.312500+9 1.675390+0 1.355700+9 1.615320+0 1.438200+9 1.520540+0 1.500000+9 1.463700+0 1.562500+9 1.416480+0 2.000000+9 1.197700+0 2.139200+9 1.134480+0 2.272600+9 1.073380+0 2.357800+9 1.034770+0 2.522900+9 9.618200-1 2.677700+9 8.966570-1 2.750000+9 8.674930-1 2.890900+9 8.129520-1 3.086500+9 7.427390-1 3.325700+9 6.652880-1 3.535000+9 6.048050-1 3.718100+9 5.569820-1 4.038600+9 4.835830-1 4.278900+9 4.361440-1 4.639500+9 3.752500-1 5.000000+9 3.247100-1 5.375000+9 2.809740-1 5.703100+9 2.487630-1 6.277300+9 2.030870-1 6.708000+9 1.758260-1 7.354000+9 1.433300-1 8.000000+9 1.183700-1 9.000000+9 9.007280-2 1.00000+10 7.030000-2 1.27030+10 3.982020-2 1.70630+10 1.960030-2 2.16210+10 1.103890-2 2.93940+10 5.212940-3 3.41010+10 3.620420-3 1.00000+11 2.548800-4 1.68570+11 7.072060-5 3.34410+11 1.330030-5 1.39060+12 4.251760-7 1.17920+13 2.570680-9 1.00000+14 1.58590-11 3.16230+15 4.09026-15 1.00000+17 1.01460-18 1 98000 7 0 2.510000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.23500-11 1.000000+2 1.235000-9 1.000000+3 1.235000-7 1.000000+4 1.235000-5 1.000000+5 1.235000-3 5.000000+5 3.087500-2 1.000000+6 1.235000-1 1.375000+6 2.310730-1 1.500000+6 2.738000-1 1.875000+6 4.205530-1 2.000000+6 4.754000-1 2.375000+6 6.560000-1 2.500000+6 7.212000-1 2.875000+6 9.295030-1 3.000000+6 1.002800+0 3.437500+6 1.271380+0 3.812500+6 1.514330+0 4.000000+6 1.639500+0 4.437500+6 1.938070+0 4.812500+6 2.198370+0 5.000000+6 2.328800+0 5.500000+6 2.674850+0 5.875000+6 2.932180+0 6.437500+6 3.313870+0 7.000000+6 3.690100+0 7.875000+6 4.265470+0 9.000000+6 4.995800+0 1.000000+7 5.643600+0 1.250000+7 7.290500+0 1.500000+7 8.994200+0 1.750000+7 1.064700+1 2.000000+7 1.226400+1 2.250000+7 1.381300+1 2.500000+7 1.530700+1 2.875000+7 1.747780+1 3.000000+7 1.818100+1 3.437500+7 2.053180+1 3.500000+7 2.085420+1 4.000000+7 2.333200+1 4.500000+7 2.563590+1 4.750000+7 2.673980+1 5.000000+7 2.782000+1 5.750000+7 3.095160+1 6.000000+7 3.196700+1 6.750000+7 3.491670+1 7.000000+7 3.587400+1 8.000000+7 3.953500+1 9.000000+7 4.293800+1 1.000000+8 4.605900+1 1.125000+8 4.951760+1 1.218800+8 5.181540+1 1.250000+8 5.252700+1 1.359400+8 5.483100+1 1.437500+8 5.633730+1 1.453100+8 5.662430+1 1.500000+8 5.747600+1 1.625000+8 5.961220+1 1.718800+8 6.111100+1 1.750000+8 6.159420+1 2.000000+8 6.514700+1 2.171900+8 6.732410+1 2.289100+8 6.872140+1 2.394500+8 6.991110+1 2.500000+8 7.107000+1 2.625000+8 7.237770+1 2.859400+8 7.465830+1 3.000000+8 7.591000+1 3.125000+8 7.693480+1 3.500000+8 7.962600+1 3.812500+8 8.152640+1 3.937500+8 8.220210+1 4.000000+8 8.253400+1 4.125000+8 8.314770+1 4.234400+8 8.365930+1 4.500000+8 8.479020+1 5.000000+8 8.655900+1 5.234400+8 8.726000+1 5.507800+8 8.800360+1 5.877000+8 8.893770+1 6.000000+8 8.923500+1 6.437500+8 9.022420+1 6.750000+8 9.082080+1 6.812500+8 9.092470+1 7.000000+8 9.120000+1 7.625000+8 9.181380+1 7.875000+8 9.202800+1 8.000000+8 9.214600+1 8.250000+8 9.242220+1 8.468800+8 9.271970+1 8.851600+8 9.322430+1 1.000000+9 9.463100+1 1.062500+9 9.517340+1 1.125000+9 9.556860+1 1.141100+9 9.564890+1 1.206900+9 9.591950+1 1.280200+9 9.613310+1 1.312500+9 9.620460+1 1.355700+9 9.628700+1 1.438200+9 9.642810+1 1.500000+9 9.652200+1 1.562500+9 9.662500+1 2.000000+9 9.725000+1 2.139200+9 9.738480+1 2.272600+9 9.750610+1 2.357800+9 9.756230+1 2.522900+9 9.766450+1 2.677700+9 9.773140+1 2.750000+9 9.776100+1 2.890900+9 9.780950+1 3.086500+9 9.785780+1 3.325700+9 9.790300+1 3.535000+9 9.792660+1 3.718100+9 9.794600+1 4.038600+9 9.796560+1 4.278900+9 9.797160+1 4.639500+9 9.798010+1 5.000000+9 9.798800+1 5.375000+9 9.798970+1 5.703100+9 9.799110+1 6.277300+9 9.799330+1 6.708000+9 9.799490+1 7.354000+9 9.799700+1 8.000000+9 9.799900+1 9.000000+9 9.799950+1 1.00000+10 9.800000+1 1.27030+10 9.800000+1 1.70630+10 9.800000+1 2.16210+10 9.800000+1 2.93940+10 9.800000+1 3.41010+10 9.800000+1 1.00000+11 9.800000+1 1.68570+11 9.800000+1 3.34410+11 9.800000+1 1.39060+12 9.800000+1 1.17920+13 9.800000+1 1.00000+14 9.800000+1 3.16230+15 9.800000+1 1.00000+17 9.800000+1 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.768169-6 0.0 1.772521-6 1.176906-6 1.776873-6 2.328772-6 1.781225-6 4.253693-6 1.785577-6 7.172310-6 1.789929-6 1.116364-5 1.794282-6 1.604008-5 1.798634-6 2.127459-5 1.802986-6 2.604772-5 1.807338-6 2.943961-5 1.811690-6 3.071485-5 1.816042-6 2.958139-5 1.820394-6 2.629922-5 1.824746-6 2.158346-5 1.833451-6 1.143508-5 1.837803-6 7.382090-6 1.842155-6 4.399197-6 1.846507-6 2.420035-6 1.850859-6 1.228920-6 1.855211-6 0.0 2.477070-6 0.0 2.483167-6 7.486393-7 2.489264-6 1.481351-6 2.495361-6 2.705808-6 2.501458-6 4.562365-6 2.507555-6 7.101283-6 2.513652-6 1.020323-5 2.519749-6 1.353294-5 2.525846-6 1.656916-5 2.531943-6 1.872677-5 2.538040-6 1.953796-5 2.544137-6 1.881696-5 2.550234-6 1.672914-5 2.560000-6 1.172818-5 2.568525-6 7.273947-6 2.574622-6 4.695807-6 2.580719-6 2.798365-6 2.582505-6 2.430201-6 2.592040-6 3.088255+0 2.595218-6 4.104615+0 2.601574-6 7.497415+0 2.607931-6 1.264167+1 2.615082-6 2.074877+1 2.626218-6 3.636023+1 2.633754-6 4.628365+1 2.640297-6 5.209516+1 2.646506-6 5.400019+1 2.653455-6 5.120469+1 2.660088-6 4.465078+1 2.670714-6 2.995743+1 2.677853-6 2.015508+1 2.684209-6 1.301142+1 2.690566-6 7.753876+0 2.696922-6 4.265471+0 2.704868-6 1.625495+0 2.709635-6 0.0 2.997783-6 0.0 3.009774-6 4.303822-6 3.012541-6 5.285739-6 3.019938-6 9.671583-6 3.032946-6 7.051828+0 3.034804-6 8.048952+0 3.042238-6 1.470206+1 3.049671-6 2.478968+1 3.058033-6 4.068727+1 3.071056-6 7.130050+1 3.079868-6 9.075978+1 3.088040-6 1.024641+2 3.095294-6 1.056209+2 3.102807-6 1.005603+2 3.110472-6 8.797498+1 3.130599-6 4.143968+1 3.138869-6 2.551469+1 3.146302-6 1.520493+1 3.153736-6 8.364356+0 3.164885-6 2.126253+0 3.168602-6 0.0 3.650537-6 0.0 3.659522-6 5.45015-15 3.668507-6 1.07843-14 3.677493-6 1.96985-14 3.686478-6 3.32143-14 3.695463-6 5.16979-14 3.704449-6 7.42802-14 3.713434-6 9.85208-14 3.722419-6 1.20625-13 3.731405-6 1.36332-13 3.740390-6 1.42238-13 3.749375-6 1.36989-13 3.758361-6 1.21789-13 3.767346-6 9.99511-14 3.785317-6 5.29549-14 3.794302-6 3.41858-14 3.803287-6 2.03723-14 3.812273-6 1.12070-14 3.821258-6 5.69102-15 3.830243-6 0.0 4.235967-6 0.0 4.251606-6 1.009332-1 4.256820-6 1.341508-1 4.267246-6 2.450374-1 4.278324-6 4.275043-1 4.288750-6 6.606078-1 4.307267-6 1.176744+0 4.320029-6 1.512685+0 4.329804-6 1.695893+0 4.341187-6 1.763376+0 4.351613-6 1.686747+0 4.362956-6 1.468217+0 4.371757-6 1.256660+0 4.392914-6 1.477035+0 4.404005-6 1.950907+0 4.414601-6 2.807826+0 4.425927-6 4.203468+0 4.459114-6 9.372631+0 4.469873-6 1.044170+1 4.479808-6 1.077870+1 4.490252-6 1.034407+1 4.501446-6 9.082884+0 4.532616-6 4.026495+0 4.543375-6 2.599365+0 4.554135-6 1.549036+0 4.564894-6 8.521378-1 4.581033-6 2.166174-1 4.586412-6 9.959348-7 4.593488-6 0.0 4.817669-6 0.0 4.829527-6 1.544436-2 4.841385-6 3.056012-2 4.853243-6 5.582057-2 4.865102-6 9.412150-2 4.876960-6 1.466050-1 4.900958-6 5.432830-1 4.913712-6 8.463553-1 4.925952-6 1.235393+0 4.946293-6 2.072858+0 4.972982-6 3.213888+0 4.985736-6 3.532316+0 4.997740-6 3.596002+0 5.010494-6 3.376570+0 5.023249-6 2.912219+0 5.057010-6 1.289504+0 5.069014-6 8.324590-1 5.081018-6 4.960860-1 5.093022-6 2.737840-1 5.112589-6 6.157354-2 5.117030-6 1.257416-2 5.122379-6 1.678912-2 5.128781-6 5.273411-2 5.141312-6 1.276120-1 5.147595-6 1.676215-1 5.160203-6 2.901706-1 5.172811-6 4.673598-1 5.187362-6 7.416198-1 5.221558-6 1.470354+0 5.235852-6 1.666358+0 5.250036-6 1.703056+0 5.264220-6 1.593936+0 5.276839-6 1.417312+0 5.298980-6 1.017381+0 5.311927-6 8.392608-1 5.324874-6 7.458269-1 5.337821-6 7.376024-1 5.354005-6 8.300487-1 5.363716-6 9.054104-1 5.378308-6 9.785182-1 5.389610-6 1.050886+0 5.406693-6 1.068381+0 5.448176-6 9.721032-1 5.468705-6 9.433656-1 5.547297-6 9.294217-1 5.637275-6 8.687587-1 5.673739-6 8.814229-1 5.707065-6 9.342342-1 5.736333-6 9.575481-1 5.787094-6 8.899441-1 5.838181-6 8.303595-1 6.070366-6 7.628014-1 6.100249-6 2.168220+0 6.115190-6 3.332382+0 6.131065-6 5.250150+0 6.146474-6 7.799993+0 6.191269-6 1.672449+1 6.207128-6 1.870851+1 6.221364-6 1.928782+1 6.236093-6 1.848692+1 6.251756-6 1.625981+1 6.294487-6 7.644950+0 6.309429-6 5.182154+0 6.324370-6 3.368805+0 6.339311-6 2.164630+0 6.369194-6 6.896360-1 7.039885-6 5.601643-1 7.317811-6 5.175221-1 7.353835-6 1.727924+0 7.371847-6 2.730314+0 7.390985-6 4.381250+0 7.408922-6 6.485486+0 7.462695-6 1.421955+1 7.483312-6 1.611223+1 7.501732-6 1.663375+1 7.518770-6 1.605376+1 7.537128-6 1.439861+1 7.590376-6 7.664098+0 7.606001-6 6.035933+0 7.624231-6 4.610171+0 7.642503-6 3.579738+0 7.652269-6 3.204497+0 7.676188-6 2.067449+0 7.678049-6 1.971371+0 7.725623-6 1.167673+0 7.743961-6 9.157793-1 7.762300-6 7.298003-1 7.780639-6 6.057879-1 7.817316-6 4.525675-1 7.838534-6 4.501639-1 7.877122-6 5.200246-1 7.896415-6 5.791977-1 7.915709-6 6.700459-1 7.935002-6 7.950878-1 7.959914-6 1.004443+0 7.996116-6 1.340404+0 8.015464-6 1.481119+0 8.034812-6 1.574047+0 8.054160-6 1.613667+0 8.082132-6 1.582375+0 8.108006-6 1.511571+0 8.134929-6 1.392373+0 8.170248-6 1.188301+0 8.225152-6 7.998153-1 8.247641-6 6.911224-1 8.266476-6 6.273449-1 8.286052-6 5.948090-1 8.303249-6 5.938026-1 8.344779-6 6.458805-1 8.378915-6 7.263855-1 8.399337-6 7.504413-1 8.440182-6 7.458509-1 8.481027-6 7.079721-1 8.522233-6 6.879856-1 8.696291-6 6.666789-1 8.787383-6 6.142511-1 8.906256-6 4.664563-1 8.932538-6 4.480195-1 8.965671-6 4.478419-1 9.003264-6 4.756584-1 9.089848-6 5.735776-1 9.155187-6 6.089240-1 9.165425-6 6.105703-1 9.211213-6 6.844079-1 9.233103-6 7.416002-1 9.257317-6 8.399685-1 9.287362-6 1.016546+0 9.348014-6 1.439694+0 9.370688-6 1.550715+0 9.393362-6 1.596043+0 9.421704-6 1.540752+0 9.446110-6 1.416881+0 9.519666-6 9.092553-1 9.548937-6 7.588804-1 9.571496-6 6.825199-1 9.616615-6 5.859177-1 9.700456-6 5.671139-1 9.748208-6 5.905722-1 9.795961-6 6.445677-1 9.843714-6 7.481133-1 9.891467-6 8.681713-1 9.915344-6 9.097673-1 9.939220-6 9.260044-1 9.965219-6 9.120559-1 1.000201-5 8.496525-1 1.005860-5 7.342296-1 1.008248-5 7.060560-1 1.010636-5 6.970616-1 1.023299-5 7.524916-1 1.051475-5 7.088261-1 1.063493-5 6.538916-1 1.071154-5 6.204128-1 1.078848-5 6.272950-1 1.091017-5 6.733746-1 1.107375-5 6.782517-1 1.220092-5 6.299518-1 1.361528-5 6.158418-1 1.502987-5 6.429563-1 1.675156-5 7.239021-1 1.867918-5 8.738602-1 2.076528-5 1.108877+0 2.137313-5 1.190548+0 2.147853-5 3.158263+0 2.153140-5 4.790796+0 2.158427-5 7.263798+0 2.163713-5 1.064000+1 2.179573-5 2.313255+1 2.184860-5 2.592433+1 2.189381-5 2.684797+1 2.195433-5 3.426652+1 2.200441-5 3.872234+1 2.205702-5 4.691064+1 2.211624-5 6.329450+1 2.217041-5 8.549143+1 2.232829-5 1.700969+2 2.238753-5 1.905217+2 2.243498-5 1.962591+2 2.249295-5 1.868014+2 2.255312-5 1.613975+2 2.270214-5 7.465695+1 2.275603-5 4.930470+1 2.280992-5 3.090371+1 2.286381-5 1.901428+1 2.297159-5 5.125269+0 2.304610-5 5.898578+0 2.310160-5 6.101396+0 2.315710-5 5.940537+0 2.324739-5 5.037806+0 2.327404-5 4.722568+0 2.337908-5 4.884028+0 2.339222-5 4.976861+0 2.344590-5 5.791498+0 2.350318-5 7.577097+0 2.356967-5 1.089414+1 2.373515-5 2.133577+1 2.379944-5 2.411784+1 2.385303-5 2.523385+1 2.391375-5 2.467638+1 2.398824-5 2.215315+1 2.412910-5 1.636256+1 2.419794-5 1.471672+1 2.427990-5 1.422104+1 2.457691-5 1.463334+1 2.500911-5 1.271803+1 2.617566-5 1.091694+1 2.750000-5 9.565204+0 2.900000-5 8.736083+0 3.121856-5 8.218204+0 3.407755-5 8.197418+0 3.482932-5 8.270875+0 3.500078-5 1.656979+1 3.509186-5 2.407033+1 3.517759-5 3.469336+1 3.526510-5 4.947316+1 3.552396-5 1.021067+2 3.562337-5 1.140509+2 3.571038-5 1.162957+2 3.579314-5 1.106515+2 3.588416-5 9.669503+1 3.611524-5 4.915404+1 3.620097-5 3.480832+1 3.628670-5 2.429430+1 3.637242-5 1.738241+1 3.654388-5 9.125622+0 3.671027-5 9.588834+0 3.699348-5 1.101579+1 3.715729-5 1.248614+1 3.748901-5 1.641855+1 3.760411-5 1.716545+1 3.772916-5 1.718809+1 3.813465-5 1.573791+1 3.862276-5 1.565004+1 3.905404-5 1.536341+1 3.972132-5 1.461681+1 4.268784-5 1.424832+1 4.842105-5 1.509585+1 5.714739-5 1.761576+1 5.853126-5 1.883452+1 5.983519-5 1.881528+1 6.971140-5 2.173886+1 7.926767-5 2.343817+1 8.887894-5 2.365559+1 1.000006-4 2.219797+1 1.141147-4 1.849299+1 1.160008-4 1.789754+1 1.168574-4 1.853856+1 1.175775-4 2.034303+1 1.177693-4 2.099168+1 1.183490-4 3.286865+1 1.186389-4 4.164885+1 1.189650-4 5.627489+1 1.192902-4 7.580048+1 1.201064-4 1.321521+2 1.204250-4 1.454772+2 1.206889-4 1.489065+2 1.209845-4 1.424537+2 1.212903-4 1.261376+2 1.221174-4 6.489151+1 1.224072-4 4.743628+1 1.226971-4 3.456450+1 1.229870-4 2.599184+1 1.235667-4 1.543247+1 1.253861-4 1.524711+1 1.270749-4 1.567068+1 1.286897-4 1.531903+1 1.293351-4 2.258098+1 1.296600-4 2.887049+1 1.299834-4 3.830808+1 1.303335-4 5.232569+1 1.312483-4 9.526204+1 1.315995-4 1.051991+2 1.319238-4 1.073255+2 1.322402-4 1.022550+2 1.326310-4 8.774529+1 1.334276-4 4.967821+1 1.337839-4 3.622299+1 1.340611-4 2.828261+1 1.343778-4 2.226154+1 1.350112-4 1.489598+1 1.375675-4 1.509418+1 1.396626-4 1.588842+1 1.445475-4 1.525197+1 1.536000-4 1.429423+1 1.631700-4 1.207859+1 1.757924-4 8.956259+0 1.842454-4 7.267698+0 1.939903-4 5.723141+0 2.041739-4 4.506532+0 2.142897-4 3.630020+0 2.238721-4 3.039110+0 2.340000-4 2.606245+0 2.437521-4 2.355706+0 2.455333-4 2.394809+0 2.467235-4 2.518562+0 2.487551-4 2.940350+0 2.504419-4 3.281918+0 2.518455-4 3.400165+0 2.650000-4 3.234457+0 2.852119-4 3.208746+0 3.153229-4 3.436895+0 3.272332-4 3.591776+0 3.304485-4 3.796147+0 3.353199-4 4.610989+0 3.370314-4 4.696046+0 3.433000-4 4.399430+0 4.039402-4 4.973729+0 4.124242-4 5.324582+0 5.181429-4 6.116130+0 5.220969-4 6.365129+0 5.281690-4 6.929751+0 5.380000-4 6.973577+0 5.458988-4 7.437692+0 5.573500-4 7.201572+0 5.696900-4 7.547535+0 5.800000-4 8.274528+0 5.880000-4 9.281057+0 5.965287-4 1.090090+1 6.067472-4 1.366590+1 6.200000-4 1.847906+1 6.515000-4 3.165590+1 6.709530-4 3.781340+1 6.965000-4 4.265657+1 7.297873-4 4.525222+1 7.969478-4 4.574814+1 8.951589-4 4.343323+1 9.043273-4 4.509575+1 9.149242-4 4.984965+1 9.197092-4 4.970921+1 9.324618-4 4.524776+1 9.538313-4 4.595973+1 9.661610-4 4.780899+1 9.763468-4 4.995841+1 9.962902-4 4.742018+1 1.248968-3 4.064994+1 1.277163-3 4.217780+1 1.592068-3 3.420333+1 1.782435-3 3.083908+1 2.210097-3 2.446402+1 2.581177-3 2.031664+1 3.046386-3 1.653713+1 3.600089-3 1.333614+1 4.136817-3 1.111139+1 4.158017-3 1.155748+1 4.177162-3 1.257183+1 4.188176-3 1.365657+1 4.209230-3 1.674993+1 4.238250-3 2.177155+1 4.258613-3 2.397955+1 4.281322-3 2.473639+1 4.375347-3 2.380945+1 4.417487-3 2.455655+1 4.453998-3 2.735335+1 4.491805-3 3.076696+1 4.519022-3 3.153366+1 5.006044-3 2.728202+1 5.066261-3 2.794006+1 5.143512-3 3.001227+1 5.329596-3 2.888515+1 6.194631-3 2.292894+1 6.320232-3 2.274611+1 6.438571-3 2.289439+1 6.711741-3 2.190237+1 6.879245-3 2.166423+1 7.803555-3 1.803448+1 8.874712-3 1.491381+1 9.924731-3 1.259266+1 1.125253-2 1.041959+1 1.276901-2 8.577835+0 1.462178-2 6.957886+0 1.653897-2 5.740846+0 1.905461-2 4.593861+0 1.953515-2 4.479505+0 1.964119-2 4.661699+0 1.971216-2 4.986540+0 1.979532-2 5.657959+0 2.002294-2 8.363553+0 2.014014-2 9.240356+0 2.025599-2 9.553336+0 2.103744-2 9.121361+0 2.391939-2 7.339789+0 2.482471-2 6.966039+0 2.501827-2 7.263625+0 2.539598-2 8.866616+0 2.561379-2 9.287099+0 2.600360-2 9.728440+0 2.637961-2 1.022018+1 3.128228-2 7.970034+0 3.603128-2 6.407860+0 4.170398-2 5.086759+0 4.744693-2 4.139929+0 5.300136-2 3.460081+0 6.025158-2 2.809395+0 6.863488-2 2.267928+0 7.768059-2 1.848339+0 8.762235-2 1.512737+0 9.952568-2 1.224263+0 1.125049-1 9.975930-1 1.278750-1 8.057300-1 1.323963-1 7.647288-1 1.331902-1 7.858667-1 1.336718-1 8.383824-1 1.341070-1 9.375083-1 1.344983-1 1.084562+0 1.349306-1 1.315972+0 1.363971-1 2.316792+0 1.370993-1 2.624462+0 1.377780-1 2.758628+0 1.394991-1 2.777592+0 1.617228-1 2.226697+0 1.853072-1 1.810366+0 2.113990-1 1.482862+0 2.407155-1 1.219721+0 2.725998-1 1.013638+0 3.091307-1 8.433969-1 3.530307-1 6.983542-1 4.007657-1 5.862629-1 4.562051-1 4.931071-1 5.266990-1 4.103828-1 6.069110-1 3.451690-1 6.968855-1 2.940082-1 8.276592-1 2.433090-1 9.520766-1 2.105767-1 1.173413+0 1.675269-1 1.347258+0 1.428638-1 1.546860+0 1.218315-1 1.776032+0 1.038956-1 2.039158+0 8.860025-2 2.341267+0 7.555663-2 2.688134+0 6.443327-2 3.086391+0 5.494748-2 3.556850+0 4.666672-2 4.068655+0 3.995978-2 4.671441+0 3.407695-2 5.363532+0 2.906018-2 6.158159+0 2.478197-2 7.070513+0 2.113360-2 8.118035+0 1.802234-2 9.320751+0 1.536911-2 9.760024+0 1.457453-2 1.000000+1 3.056271-2 1 98000 7 0 2.510000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-9.769018+1 2.225134-6-9.457862+1 2.477070-6-9.002419+1 2.550234-6-8.467154+1 2.578433-6-7.853497+1 2.610116-6-6.305529+1 2.617515-6-6.187552+1 2.625436-6-6.458760+1 2.633357-6-7.260981+1 2.641019-6-8.493031+1 2.646506-6-9.507942+1 2.653100-6-8.906931+1 2.662653-6-7.574689+1 2.670714-6-7.006926+1 2.677853-6-6.937279+1 2.689870-6-7.375786+1 2.718248-6-8.753893+1 2.758875-6-9.453357+1 2.808705-6-9.762253+1 2.944450-6-8.739247+1 2.988948-6-7.970348+1 3.009774-6-7.244865+1 3.019548-6-6.598895+1 3.027371-6-5.943777+1 3.034804-6-5.366417+1 3.043167-6-4.609771+1 3.052226-6-3.939858+1 3.058033-6-3.718579+1 3.062708-6-3.760267+1 3.067092-6-3.972146+1 3.072000-6-4.501179+1 3.077052-6-5.322325+1 3.085367-6-7.320244+1 3.093683-6-9.778215+1 3.103599-6-6.672475+1 3.111234-6-4.809078+1 3.116570-6-3.918432+1 3.120529-6-3.449759+1 3.125643-6-3.095272+1 3.129670-6-3.016692+1 3.136802-6-3.243633+1 3.146302-6-3.985421+1 3.158730-6-5.052057+1 3.168602-6-5.834120+1 3.176550-6-6.427055+1 3.196558-6-7.186856+1 3.237439-6-7.935801+1 3.319510-6-8.566624+1 3.534507-6-9.108138+1 4.394488-6-9.756812+1 4.442838-6-9.600724+1 4.466318-6-9.761434+1 4.510903-6-8.940341+1 4.552117-6-8.950784+1 4.654769-6-9.371320+1 4.968876-6-9.685076+1 5.057010-6-9.367010+1 5.232700-6-9.613621+1 5.858688-6-9.750039+1 6.009892-6-9.776001+1 6.112564-6-9.211662+1 6.161551-6-9.036898+1 6.197206-6-9.527117+1 6.209681-6-9.842768+1 6.260572-6-8.638628+1 6.294487-6-8.442650+1 6.420724-6-9.165273+1 6.869590-6-9.547675+1 7.274352-6-9.758404+1 7.423605-6-9.150592+1 7.473788-6-9.614445+1 7.484716-6-9.813172+1 7.551985-6-8.782961+1 7.606001-6-8.656239+1 7.877122-6-9.317689+1 9.421704-6-9.525961+1 1.586247-5-9.896665+1 1.915339-5-9.397184+1 2.036619-5-8.743315+1 2.096592-5-7.952535+1 2.125564-5-7.185469+1 2.138628-5-6.557404+1 2.153140-5-5.636367+1 2.169000-5-4.573383+1 2.186838-5-3.873437+1 2.189381-5-3.574716+1 2.191710-5-3.272870+1 2.198563-5-2.684728+1 2.204716-5-1.775894+1 2.206401-5-1.420247+1 2.207624-5-1.221635+1 2.210376-5-8.229246+0 2.210835-5-7.456532+0 2.211624-5-5.691014+0 2.212243-5-4.703450+0 2.213327-5-3.418941+0 2.216580-5-3.433544-1 2.217041-5 2.403779-1 2.217907-5 6.335563-1 2.218664-5 6.312094-1 2.219988-5 7.020966-2 2.220982-5-7.436136-1 2.222472-5-2.524824+0 2.223963-5-4.892601+0 2.225029-5-6.986169+0 2.225962-5-9.166661+0 2.227492-5-1.340353+1 2.228742-5-1.750533+1 2.230383-5-2.389566+1 2.232097-5-3.226852+1 2.236815-5-6.088845+1 2.239318-5-8.012596+1 2.242523-5-1.030936+2 2.243498-5-9.437881+1 2.249631-5-4.786723+1 2.250811-5-4.011280+1 2.255312-5-1.378395+1 2.256114-5-9.815118+0 2.256815-5-6.699991+0 2.258042-5-1.844866+0 2.258962-5 1.380483+0 2.260343-5 5.644185+0 2.261723-5 9.326033+0 2.262784-5 1.174492+1 2.263713-5 1.351598+1 2.265338-5 1.591497+1 2.266557-5 1.712607+1 2.267472-5 1.768429+1 2.268843-5 1.788019+1 2.269535-5 1.760477+1 2.272909-5 1.399752+1 2.274256-5 1.228748+1 2.274930-5 1.117077+1 2.276277-5 7.978422+0 2.278635-5 3.526545+0 2.279813-5 1.142556+0 2.280403-5-2.115016-1 2.280992-5-1.894443+0 2.286381-5-1.453664+1 2.287766-5-1.790861+1 2.295624-5-3.294615+1 2.297159-5-3.693403+1 2.298721-5-4.089035+1 2.302688-5-4.739739+1 2.310160-5-5.548854+1 2.351075-5-8.426261+1 2.364495-5-8.912188+1 2.376372-5-8.742768+1 2.398824-5-7.691914+1 2.412910-5-7.678423+1 2.439727-5-8.169060+1 2.699907-5-8.824321+1 3.237019-5-9.798647+1 3.318710-5-1.001619+2 3.412454-5-9.304860+1 3.454632-5-8.545563+1 3.475788-5-7.774479+1 3.500078-5-6.067208+1 3.511195-5-5.183811+1 3.520522-5-4.591037+1 3.527850-5-4.362680+1 3.532611-5-4.443294+1 3.539012-5-4.823726+1 3.545233-5-5.477947+1 3.550521-5-6.335560+1 3.560984-5-8.776704+1 3.563243-5-9.430068+1 3.566528-5-1.002626+2 3.573148-5-8.136700+1 3.581166-5-6.058503+1 3.588416-5-4.534206+1 3.592333-5-3.921871+1 3.598047-5-3.299943+1 3.603094-5-2.956206+1 3.606782-5-2.821985+1 3.610338-5-2.803416+1 3.619025-5-3.129168+1 3.628670-5-3.836182+1 3.640323-5-4.787628+1 3.654388-5-5.814863+1 3.661820-5-6.361391+1 3.682064-5-7.190248+1 3.720038-5-8.046224+1 3.751265-5-8.211156+1 3.808118-5-8.134713+1 4.089393-5-8.519208+1 5.136831-5-8.775230+1 6.086229-5-8.691098+1 9.606491-5-7.609346+1 1.060188-4-7.659747+1 1.118724-4-6.871822+1 1.145567-4-6.130441+1 1.158988-4-5.432935+1 1.167146-4-4.722062+1 1.172856-4-3.997515+1 1.176255-4-3.390250+1 1.177693-4-2.994702+1 1.178808-4-2.667715+1 1.183128-4-1.756513+1 1.186389-4-9.553925+0 1.186751-4-8.528500+0 1.189288-4-3.524578+0 1.189650-4-2.723436+0 1.190284-4-1.855215+0 1.192186-4-3.245251-1 1.192430-4-9.999959-2 1.192902-4-5.277371-2 1.193344-4-2.387181-1 1.194174-4-1.038867+0 1.194900-4-2.162608+0 1.195535-4-3.450968+0 1.196091-4-4.809033+0 1.196577-4-6.176004+0 1.197002-4-7.512278+0 1.197747-4-1.018056+1 1.198724-4-1.438088+1 1.199682-4-1.943856+1 1.200770-4-2.681163+1 1.203208-4-4.611263+1 1.204554-4-5.936733+1 1.206129-4-7.378302+1 1.206889-4-6.531527+1 1.210174-4-3.391363+1 1.212622-4-1.445767+1 1.212903-4-1.238861+1 1.213429-4-9.013917+0 1.213889-4-6.407950+0 1.214292-4-4.335202+0 1.214997-4-1.104327+0 1.215526-4 1.023655+0 1.216319-4 3.785173+0 1.217112-4 6.062866+0 1.217620-4 7.275743+0 1.218508-4 8.937632+0 1.219175-4 9.791479+0 1.219674-4 1.019689+1 1.220424-4 1.037477+1 1.220799-4 1.021942+1 1.222623-4 7.919208+0 1.223348-4 6.802906+0 1.223710-4 6.068836+0 1.224435-4 3.961951+0 1.225703-4 1.004894+0 1.226337-4-5.865835-1 1.226654-4-1.491574+0 1.226971-4-2.615452+0 1.229870-4-1.115207+1 1.230655-4-1.355935+1 1.234954-4-2.430989+1 1.236158-4-2.859427+1 1.238623-4-3.439196+1 1.243355-4-4.178190+1 1.250565-4-4.957585+1 1.266953-4-6.179662+1 1.280707-4-7.252383+1 1.282672-4-7.472686+1 1.286897-4-6.815512+1 1.296151-4-5.179938+1 1.300581-4-4.418269+1 1.303883-4-4.198831+1 1.306151-4-4.336765+1 1.308615-4-4.753433+1 1.310720-4-5.354710+1 1.312161-4-5.994083+1 1.315153-4-7.512538+1 1.318900-4-5.138372+1 1.322790-4-2.726653+1 1.323508-4-2.359000+1 1.325779-4-1.292496+1 1.326310-4-1.077903+1 1.326808-4-9.017936+0 1.327741-4-6.175445+0 1.328558-4-4.092466+0 1.329273-4-2.542558+0 1.329898-4-1.381659+0 1.330993-4 2.273011-1 1.331814-4 1.081333+0 1.332429-4 1.514920+0 1.333353-4 1.792256+0 1.333814-4 1.724127+0 1.335860-4 1.886496-1 1.336651-4-5.646383-1 1.337047-4-1.066764+0 1.337839-4-2.525182+0 1.339225-4-4.561671+0 1.340264-4-6.287684+0 1.340611-4-7.070003+0 1.344174-4-1.383777+1 1.349320-4-2.199116+1 1.350972-4-2.556978+1 1.354219-4-2.989855+1 1.359891-4-3.476507+1 1.368760-4-3.967041+1 1.379451-4-4.354446+1 1.396626-4-4.670769+1 1.445475-4-5.096593+1 1.510620-4-5.289283+1 1.873689-4-5.590776+1 2.518455-4-6.399314+1 3.464626-4-6.848384+1 4.897788-4-7.412354+1 5.615000-4-8.161661+1 6.229854-4-9.487044+1 6.480000-4-9.425207+1 7.414123-4-7.361990+1 7.969478-4-6.532673+1 8.734334-4-5.839198+1 9.172950-4-5.733189+1 9.390390-4-5.723197+1 9.763468-4-5.372958+1 1.000513-3-5.147397+1 1.048717-3-4.681110+1 1.143159-3-4.110414+1 1.237262-3-3.794845+1 1.277163-3-3.784411+1 1.312926-3-3.519610+1 1.413587-3-3.146456+1 1.566386-3-2.809165+1 1.761623-3-2.535466+1 2.006781-3-2.264346+1 2.328825-3-2.098309+1 2.733408-3-2.043760+1 3.200622-3-2.117028+1 3.600089-3-2.307226+1 3.866729-3-2.557630+1 4.036821-3-2.851480+1 4.136817-3-3.185379+1 4.188176-3-3.547587+1 4.234296-3-3.949853+1 4.258613-3-3.972208+1 4.341352-3-3.406402+1 4.393526-3-3.287444+1 4.482331-3-3.437164+1 4.519022-3-3.303366+1 4.590170-3-2.833347+1 4.665586-3-2.551791+1 4.802226-3-2.258342+1 4.947766-3-2.097374+1 5.028336-3-2.111700+1 5.097440-3-2.164572+1 5.143512-3-2.061152+1 5.216811-3-1.829121+1 5.329596-3-1.625399+1 5.509125-3-1.419456+1 5.781444-3-1.219615+1 6.059507-3-1.099052+1 6.240184-3-1.074918+1 6.345999-3-1.091533+1 6.524245-3-9.771028+0 6.671809-3-9.456671+0 6.777955-3-9.106489+0 6.937243-3-8.154768+0 7.237278-3-7.140438+0 7.635748-3-6.264808+0 8.190687-3-5.466006+0 8.874712-3-4.865906+0 9.580794-3-4.530195+0 1.080300-2-4.334310+0 1.224363-2-4.428277+0 1.396354-2-4.807459+0 1.593071-2-5.515969+0 1.748672-2-6.389206+0 1.848737-2-7.308650+0 1.905461-2-8.188540+0 1.940284-2-9.132363+0 1.960778-2-1.019749+1 1.982828-2-1.180851+1 1.995539-2-1.204552+1 2.010788-2-1.117925+1 2.030659-2-9.658014+0 2.052551-2-8.636395+0 2.087598-2-7.735981+0 2.141017-2-6.956524+0 2.219468-2-6.365591+0 2.306501-2-6.113483+0 2.391939-2-6.231102+0 2.450998-2-6.661060+0 2.482471-2-7.248701+0 2.514455-2-8.182259+0 2.532626-2-8.227750+0 2.569323-2-7.415146+0 2.609302-2-6.944594+0 2.660984-2-5.688495+0 2.708697-2-4.976635+0 2.784868-2-4.249639+0 2.882380-2-3.612589+0 3.019952-2-2.993423+0 3.184219-2-2.499430+0 3.392072-2-2.089401+0 3.603128-2-1.813641+0 3.871601-2-1.589778+0 4.170398-2-1.448691+0 4.538352-2-1.371499+0 5.113873-2-1.350784+0 6.025158-2-1.440627+0 9.541984-2-2.032261+0 1.125049-1-2.408512+0 1.220974-1-2.739640+0 1.278750-1-3.084821+0 1.311287-1-3.439886+0 1.329809-1-3.840855+0 1.350906-1-4.649012+0 1.357939-1-4.697764+0 1.367223-1-4.415868+0 1.381399-1-3.789398+0 1.394991-1-3.406735+0 1.418676-1-3.026334+0 1.455653-1-2.669459+0 1.507260-1-2.368307+0 1.589265-1-2.065285+0 1.686239-1-1.851307+0 1.853072-1-1.643445+0 2.022199-1-1.529575+0 2.306844-1-1.437189+0 2.851018-1-1.393241+0 7.587141-1-1.494240+0 2.341267+0-1.528306+0 7.070513+0-1.539642+0 1.000000+1-1.537756+0 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 5.882035-2 1.182289-6 1.265303-1 1.229569-6 1.524294-1 1.273893-6 1.808992-1 1.315447-6 2.118456-1 1.354404-6 2.451474-1 1.390926-6 2.806592-1 1.457266-6 3.576365-1 1.487359-6 3.987315-1 1.515572-6 4.416755-1 1.568470-6 5.339220-1 1.614756-6 6.292554-1 1.655257-6 7.262629-1 1.690695-6 8.232805-1 1.721703-6 9.188736-1 1.748835-6 1.012620+0 1.796316-6 1.199934+0 1.831927-6 1.362825+0 1.858635-6 1.501419+0 1.898698-6 1.738530+0 1.953076-6 2.123042+0 1.996024-6 2.496184+0 2.034200-6 2.894339+0 2.071737-6 3.356089+0 2.106929-6 3.864411+0 2.139921-6 4.426463+0 2.170850-6 5.046179+0 2.199847-6 5.727343+0 2.227032-6 6.473880+0 2.252517-6 7.289867+0 2.276409-6 8.179542+0 2.298809-6 9.147307+0 2.319808-6 1.019774+1 2.339495-6 1.133558+1 2.357951-6 1.256576+1 2.375254-6 1.389338+1 2.391476-6 1.532374+1 2.406683-6 1.686229+1 2.420940-6 1.851470+1 2.434307-6 2.028679+1 2.446837-6 2.218455+1 2.458585-6 2.421417+1 2.469598-6 2.638198+1 2.479923-6 2.869452+1 2.489603-6 3.115852+1 2.498677-6 3.378097+1 2.507185-6 3.656921+1 2.515161-6 3.953098+1 2.522638-6 4.267445+1 2.529648-6 4.600815+1 2.536220-6 4.954101+1 2.542381-6 5.328259+1 2.548157-6 5.724356+1 2.553572-6 6.143637+1 2.560000-6 6.715372+1 2.567870-6 7.557061+1 2.576236-6 8.690389+1 2.583556-6 9.976533+1 2.589961-6 1.142966+2 2.595566-6 1.305058+2 2.600470-6 1.482358+2 2.604761-6 1.671822+2 2.608515-6 1.869430+2 2.611801-6 2.070786+2 2.614675-6 2.271640+2 2.619392-6 2.657568+2 2.627215-6 3.476595+2 2.635963-6 4.695891+2 2.641283-6 5.603255+2 2.644526-6 6.215653+2 2.647768-6 6.869140+2 2.654253-6 8.277396+2 2.655064-6 8.460688+2 2.660739-6 9.766835+2 2.662968-6 1.028253+3 2.667224-6 1.125037+3 2.670744-6 1.201573+3 2.673710-6 1.262172+3 2.676889-6 1.321801+3 2.679184-6 1.360716+3 2.682463-6 1.409295+3 2.685494-6 1.445878+3 2.687085-6 1.461599+3 2.690885-6 1.488723+3 2.693760-6 1.499018+3 2.697717-6 1.498294+3 2.700095-6 1.489531+3 2.706436-6 1.436637+3 2.708459-6 1.411283+3 2.712890-6 1.343037+3 2.715625-6 1.293240+3 2.718086-6 1.244185+3 2.721250-6 1.176237+3 2.723787-6 1.118624+3 2.726637-6 1.051546+3 2.729016-6 9.942660+2 2.732076-6 9.198691+2 2.735319-6 8.412189+2 2.738561-6 7.639133+2 2.742209-6 6.798117+2 2.745047-6 6.172371+2 2.751532-6 4.859408+2 2.754972-6 4.238002+2 2.760473-6 3.359800+2 2.764250-6 2.838972+2 2.767010-6 2.499566+2 2.769870-6 2.182730+2 2.773547-6 1.824592+2 2.777633-6 1.486348+2 2.781718-6 1.204272+2 2.786621-6 9.300031+1 2.793546-6 6.404133+1 2.809086-6 2.743358+1 2.811237-6 2.443387+1 2.815505-6 1.948712+1 2.819707-6 1.570728+1 2.823843-6 1.283830+1 2.827915-6 1.068590+1 2.831923-6 9.102226+0 2.835868-6 7.973915+0 2.839751-6 7.212891+0 2.962086-6 3.494582+1 2.969732-6 4.036411+1 2.976900-6 4.662653+1 2.983620-6 5.374134+1 2.989920-6 6.171492+1 2.995827-6 7.056505+1 3.001364-6 8.032727+1 3.006555-6 9.105576+1 3.011421-6 1.028202+2 3.015984-6 1.157000+2 3.020261-6 1.297767+2 3.024271-6 1.451256+2 3.028031-6 1.618080+2 3.031555-6 1.798638+2 3.034859-6 1.993070+2 3.037957-6 2.201222+2 3.043765-6 2.673181+2 3.048847-6 3.193964+2 3.053293-6 3.752115+2 3.057184-6 4.334151+2 3.066175-6 6.091671+2 3.077545-6 9.373458+2 3.084058-6 1.190967+3 3.089677-6 1.452942+3 3.092013-6 1.573986+3 3.095809-6 1.785960+3 3.099605-6 2.016330+3 3.107197-6 2.527430+3 3.108146-6 2.595463+3 3.114789-6 3.091138+3 3.117398-6 3.292543+3 3.122380-6 3.680740+3 3.126236-6 3.978809+3 3.129972-6 4.260170+3 3.133828-6 4.537149+3 3.137564-6 4.787329+3 3.140886-6 4.990424+3 3.143955-6 5.158891+3 3.145631-6 5.242148+3 3.150079-6 5.430143+3 3.153553-6 5.540713+3 3.157600-6 5.626415+3 3.161386-6 5.662835+3 3.164157-6 5.662251+3 3.167932-6 5.624650+3 3.170575-6 5.573641+3 3.175845-6 5.414442+3 3.178659-6 5.300374+3 3.181790-6 5.152059+3 3.183803-6 5.045903+3 3.187376-6 4.839099+3 3.189936-6 4.678439+3 3.193595-6 4.434239+3 3.197417-6 4.165365+3 3.202096-6 3.824678+3 3.205891-6 3.544675+3 3.210162-6 3.231783+3 3.213483-6 2.993385+3 3.221798-6 2.430502+3 3.223152-6 2.344674+3 3.232634-6 1.799615+3 3.239066-6 1.489210+3 3.256043-6 8.926104+2 3.259945-6 7.954321+2 3.263846-6 7.106092+2 3.267748-6 6.368499+2 3.271649-6 5.728934+2 3.275551-6 5.175390+2 3.279452-6 4.696682+2 3.283354-6 4.282577+2 3.287255-6 3.923875+2 3.295058-6 3.341107+2 3.302861-6 2.895152+2 3.310665-6 2.547028+2 3.318468-6 2.269150+2 3.326271-6 2.042426+2 3.332226-6 1.895534+2 3.338088-6 1.768453+2 3.349628-6 1.557942+2 3.360808-6 1.392195+2 3.371639-6 1.258388+2 3.382131-6 1.148253+2 3.392295-6 1.056177+2 3.402142-6 9.781926+1 3.411681-6 9.114009+1 3.420922-6 8.536316+1 3.438826-6 7.575460+1 3.455611-6 6.825619+1 3.471347-6 6.226481+1 3.486099-6 5.738770+1 3.499930-6 5.335549+1 3.512896-6 4.997603+1 3.537207-6 4.449498+1 3.558480-6 4.043784+1 3.577093-6 3.734485+1 3.593380-6 3.493223+1 3.621882-6 3.125294+1 3.643258-6 2.886617+1 3.675323-6 2.576154+1 3.716513-6 2.242661+1 3.762139-6 1.939479+1 3.835141-6 1.557085+1 3.941356-6 1.148143+1 4.121479-6 6.337773+0 4.163695-6 5.238484+0 4.180933-6 4.797158+0 4.196017-6 4.409256+0 4.209215-6 4.066035+0 4.232312-6 3.451090+0 4.249634-6 2.974847+0 4.262626-6 2.610943+0 4.272370-6 2.337934+0 4.279678-6 2.136175+0 4.285159-6 1.988386+0 4.289269-6 1.880490+0 4.301602-6 1.579499+0 4.312189-6 1.360574+0 4.317483-6 1.269326+0 4.320130-6 1.228944+0 4.322777-6 1.192287+0 4.325424-6 1.159504+0 4.331380-6 1.100541+0 4.334689-6 1.076927+0 4.343953-6 1.046190+0 4.345855-6 1.046265+0 4.348027-6 1.048935+0 4.354541-6 1.072829+0 4.358615-6 1.099137+0 4.362686-6 1.133402+0 4.367610-6 1.184545+0 4.372297-6 1.242158+0 4.378363-6 1.328632+0 4.385886-6 1.454464+0 4.393170-6 1.599943+0 4.396892-6 1.686385+0 4.407811-6 2.014667+0 4.411757-6 2.173570+0 4.417279-6 2.448626+0 4.421056-6 2.681537+0 4.424381-6 2.923507+0 4.429404-6 3.367822+0 4.433579-6 3.822846+0 4.437973-6 4.401161+0 4.443457-6 5.290527+0 4.452332-6 7.201761+0 4.462490-6 1.025125+1 4.465404-6 1.131837+1 4.471165-6 1.369846+1 4.475800-6 1.588065+1 4.478739-6 1.738936+1 4.483648-6 2.012289+1 4.487680-6 2.256064+1 4.495845-6 2.798718+1 4.500731-6 3.150510+1 4.504899-6 3.463162+1 4.509790-6 3.840855+1 4.514278-6 4.193626+1 4.518830-6 4.552871+1 4.523331-6 4.904715+1 4.528155-6 5.272706+1 4.533588-6 5.668401+1 4.538614-6 6.009752+1 4.541977-6 6.221687+1 4.546948-6 6.506554+1 4.550933-6 6.707527+1 4.554346-6 6.858344+1 4.559231-6 7.037818+1 4.562824-6 7.141084+1 4.565066-6 7.192833+1 4.572688-6 7.294725+1 4.575847-6 7.303436+1 4.580361-6 7.282549+1 4.583262-6 7.249014+1 4.588466-6 7.151403+1 4.592495-6 7.044867+1 4.597782-6 6.867885+1 4.602881-6 6.661965+1 4.610045-6 6.324383+1 4.615510-6 6.037506+1 4.618243-6 5.886935+1 4.624391-6 5.536073+1 4.626440-6 5.416595+1 4.637370-6 4.774198+1 4.644202-6 4.380647+1 4.653765-6 3.857632+1 4.669284-6 3.110632+1 4.685110-6 2.500532+1 4.694500-6 2.209577+1 4.703303-6 1.979824+1 4.711555-6 1.797561+1 4.719292-6 1.651708+1 4.733798-6 1.430842+1 4.746492-6 1.280277+1 4.758202-6 1.166592+1 4.777035-6 1.018447+1 4.791612-6 9.235323+0 4.813478-6 8.014149+0 4.835412-6 6.940567+0 4.847314-6 6.396767+0 4.859216-6 5.870565+0 4.871118-6 5.357369+0 4.883019-6 4.855681+0 4.886876-6 4.695903+0 4.898904-6 4.209490+0 4.922961-6 3.337833+0 4.928975-6 3.157175+0 4.934989-6 2.999231+0 4.941393-6 2.861499+0 4.946195-6 2.782558+0 4.949319-6 2.743948+0 4.952173-6 2.718246+0 4.972153-6 2.847097+0 4.973675-6 2.882434+0 4.984331-6 3.245907+0 4.988518-6 3.446812+0 4.997271-6 3.976443+0 5.003069-6 4.408515+0 5.019986-6 6.009336+0 5.025847-6 6.662843+0 5.032724-6 7.475213+0 5.037742-6 8.088959+0 5.043353-6 8.784930+0 5.046746-6 9.205856+0 5.052074-6 9.859177+0 5.057402-6 1.049341+1 5.061017-6 1.090739+1 5.065299-6 1.137528+1 5.070341-6 1.188856+1 5.081758-6 1.286124+1 5.085945-6 1.314086+1 5.093937-6 1.354577+1 5.098361-6 1.369372+1 5.102375-6 1.377985+1 5.105887-6 1.381762+1 5.108960-6 1.382210+1 5.114338-6 1.376708+1 5.118371-6 1.367499+1 5.121397-6 1.357859+1 5.128203-6 1.328142+1 5.130472-6 1.315935+1 5.139606-6 1.256590+1 5.142650-6 1.233622+1 5.151784-6 1.157221+1 5.154829-6 1.129760+1 5.167007-6 1.013898+1 5.171447-6 9.704762+0 5.184767-6 8.418022+0 5.197099-6 7.308781+0 5.212570-6 6.116684+0 5.219359-6 5.681996+0 5.232143-6 5.028646+0 5.235339-6 4.900293+0 5.244927-6 4.599924+0 5.248123-6 4.527689+0 5.252917-6 4.444760+0 5.257711-6 4.391367+0 5.261597-6 4.368814+0 5.264997-6 4.363557+0 5.267973-6 4.369482+0 5.273179-6 4.401894+0 5.277085-6 4.443084+0 5.280013-6 4.482541+0 5.286603-6 4.594641+0 5.296076-6 4.799380+0 5.311139-6 5.176491+0 5.324366-6 5.494560+0 5.336413-6 5.725111+0 5.339573-6 5.772215+0 5.349051-6 5.874850+0 5.352268-6 5.895910+0 5.357899-6 5.915754+0 5.362123-6 5.916694+0 5.368458-6 5.896823+0 5.374793-6 5.853599+0 5.385549-6 5.736019+0 5.398333-6 5.547383+0 5.427920-6 5.080947+0 5.439977-6 4.931610+0 5.452540-6 4.815114+0 5.465103-6 4.736021+0 5.483313-6 4.669629+0 5.528668-6 4.567099+0 5.538482-6 4.536529+0 5.579741-6 4.370075+0 5.623771-6 4.166445+0 5.664422-6 3.965323+0 5.708666-6 3.746405+0 5.731155-6 3.655896+0 5.751646-6 3.595353+0 5.766083-6 3.565386+0 5.818017-6 3.493364+0 5.838458-6 3.449502+0 5.859454-6 3.381957+0 5.876761-6 3.309136+0 5.901009-6 3.187507+0 5.921447-6 3.075300+0 6.005546-6 2.623747+0 6.038083-6 2.461880+0 6.073404-6 2.288147+0 6.108725-6 2.113645+0 6.175600-6 1.781088+0 6.210409-6 1.607778+0 6.242475-6 1.448180+0 6.277494-6 1.274486+0 6.308170-6 1.123971+0 6.332698-6 1.005885+0 6.354184-6 9.051541-1 6.369522-6 8.354491-1 6.388803-6 7.513306-1 6.415536-6 6.434457-1 6.450625-6 5.236299-1 6.461550-6 4.927719-1 6.476888-6 4.554772-1 6.484557-6 4.396570-1 6.492226-6 4.258359-1 6.499895-6 4.141147-1 6.507564-6 4.046235-1 6.515233-6 3.975421-1 6.522902-6 3.931277-1 6.530571-6 3.917481-1 6.538240-6 3.939246-1 6.542046-6 3.965397-1 6.545733-6 4.001797-1 6.549305-6 4.048559-1 6.552765-6 4.105821-1 6.556117-6 4.173725-1 6.562510-6 4.342042-1 6.568457-6 4.552409-1 6.573365-6 4.772812-1 6.578697-6 5.069080-1 6.583701-6 5.410358-1 6.586087-6 5.597651-1 6.590708-6 6.011800-1 6.595041-6 6.469211-1 6.599103-6 6.967522-1 6.602911-6 7.503860-1 6.606481-6 8.074917-1 6.609828-6 8.677049-1 6.616103-6 1.000463+0 6.621594-6 1.141262+0 6.626399-6 1.286555+0 6.630603-6 1.433064+0 6.634282-6 1.577936+0 6.640719-6 1.874137+0 6.645547-6 2.137001+0 6.660032-6 3.187755+0 6.676425-6 5.014911+0 6.686670-6 6.625301+0 6.696916-6 8.699960+0 6.703063-6 1.020864+1 6.709210-6 1.194335+1 6.716382-6 1.428517+1 6.725603-6 1.786016+1 6.732775-6 2.112921+1 6.741996-6 2.602797+1 6.749229-6 3.046419+1 6.757476-6 3.620275+1 6.762424-6 4.000926+1 6.770726-6 4.702673+1 6.779028-6 5.484461+1 6.796670-6 7.405279+1 6.798616-6 7.637496+1 6.813274-6 9.498588+1 6.818625-6 1.021960+2 6.828840-6 1.163867+2 6.836716-6 1.275450+2 6.843601-6 1.373153+2 6.849352-6 1.453966+2 6.856746-6 1.555571+2 6.863976-6 1.651024+2 6.870397-6 1.731327+2 6.878072-6 1.820334+2 6.887213-6 1.914270+2 6.895386-6 1.985182+2 6.900887-6 2.025166+2 6.908468-6 2.069232+2 6.916382-6 2.100877+2 6.923933-6 2.116926+2 6.931873-6 2.118745+2 6.933522-6 2.117198+2 6.945894-6 2.085078+2 6.953119-6 2.050342+2 6.959436-6 2.011086+2 6.966973-6 1.954360+2 6.974418-6 1.888949+2 6.983370-6 1.799884+2 6.992722-6 1.697246+2 7.003182-6 1.574323+2 7.011484-6 1.473171+2 7.024456-6 1.313418+2 7.028088-6 1.269037+2 7.044692-6 1.072627+2 7.050399-6 1.008651+2 7.061296-6 8.930641+1 7.076862-6 7.449382+1 7.116121-6 4.660936+1 7.122067-6 4.349511+1 7.133866-6 3.805898+1 7.145480-6 3.357402+1 7.156913-6 2.988226+1 7.168168-6 2.684194+1 7.179247-6 2.433032+1 7.190152-6 2.224410+1 7.200887-6 2.049826+1 7.222022-6 1.774847+1 7.242497-6 1.571281+1 7.262331-6 1.414302+1 7.281546-6 1.288841+1 7.300160-6 1.185621+1 7.318193-6 1.098744+1 7.353131-6 9.576169+0 7.385885-6 8.490730+0 7.416797-6 7.619579+0 7.445381-6 6.916507+0 7.499358-6 5.791752+0 7.688281-6 2.837863+0 7.735511-6 2.230248+0 7.770934-6 1.813449+0 7.797501-6 1.523210+0 7.817427-6 1.318966+0 7.832371-6 1.174159+0 7.854787-6 9.724161-1 7.865995-6 8.795635-1 7.877203-6 7.929011-1 7.906286-6 6.032352-1 7.915980-6 5.539854-1 7.925674-6 5.135024-1 7.935369-6 4.832595-1 7.945063-6 4.651063-1 7.954758-6 4.613646-1 7.959605-6 4.657798-1 7.966876-6 4.814452-1 7.974146-6 5.094458-1 7.977572-6 5.274537-1 7.982481-6 5.592222-1 7.986163-6 5.880469-1 7.988924-6 6.126986-1 7.993066-6 6.549096-1 7.997208-6 7.038828-1 8.001669-6 7.648585-1 8.005842-6 8.303128-1 8.012304-6 9.494065-1 8.018746-6 1.092078+0 8.027474-6 1.329217+0 8.061048-6 2.883905+0 8.073073-6 3.781263+0 8.085738-6 4.991147+0 8.095628-6 6.161113+0 8.100573-6 6.830658+0 8.111699-6 8.569705+0 8.120353-6 1.017078+1 8.131480-6 1.259295+1 8.135188-6 1.350003+1 8.152719-6 1.854702+1 8.162854-6 2.209901+1 8.172478-6 2.595107+1 8.183676-6 3.106520+1 8.194529-6 3.671114+1 8.204492-6 4.251659+1 8.210470-6 4.629142+1 8.231982-6 6.166924+1 8.239211-6 6.743836+1 8.254302-6 8.033662+1 8.260953-6 8.633516+1 8.267302-6 9.220291+1 8.275447-6 9.988517+1 8.285248-6 1.092653+2 8.290804-6 1.145989+2 8.300256-6 1.236051+2 8.310447-6 1.330778+2 8.317274-6 1.391943+2 8.326746-6 1.472527+2 8.335842-6 1.543967+2 8.345329-6 1.610868+2 8.354775-6 1.668472+2 8.366693-6 1.726586+2 8.374368-6 1.754624+2 8.393569-6 1.790255+2 8.399943-6 1.790910+2 8.414019-6 1.772853+2 8.424423-6 1.742972+2 8.430510-6 1.719398+2 8.440497-6 1.671772+2 8.444575-6 1.649375+2 8.451712-6 1.606464+2 8.461079-6 1.543776+2 8.470111-6 1.477607+2 8.482566-6 1.379402+2 8.494524-6 1.280159+2 8.509921-6 1.149514+2 8.512120-6 1.130857+2 8.532230-6 9.638130+1 8.540378-6 8.991508+1 8.555932-6 7.827286+1 8.574016-6 6.612272+1 8.616017-6 4.430961+1 8.627380-6 3.990477+1 8.638743-6 3.607269+1 8.650202-6 3.274006+1 8.658797-6 3.056013+1 8.671688-6 2.775031+1 8.684580-6 2.542675+1 8.694598-6 2.391163+1 8.704616-6 2.261662+1 8.721553-6 2.084962+1 8.742256-6 1.926257+1 8.792588-6 1.710598+1 8.801161-6 1.689667+1 8.834212-6 1.635710+1 8.846134-6 1.624180+1 8.872959-6 1.608216+1 8.925092-6 1.592254+1 8.955396-6 1.575624+1 8.981519-6 1.549748+1 8.992789-6 1.534682+1 9.009692-6 1.507653+1 9.026596-6 1.475701+1 9.050054-6 1.424696+1 9.074490-6 1.366138+1 9.149295-6 1.186894+1 9.174598-6 1.134682+1 9.199901-6 1.088441+1 9.248549-6 1.014843+1 9.280926-6 9.743835+0 9.329720-6 9.204633+0 9.386354-6 8.599842+0 9.425933-6 8.149047+0 9.452656-6 7.825193+0 9.492172-6 7.324967+0 9.589788-6 6.152468+0 9.622544-6 5.836693+0 9.654074-6 5.579894+0 9.675497-6 5.428807+0 9.733111-6 5.083731+0 9.780248-6 4.820585+0 9.797363-6 4.720711+0 9.840153-6 4.453249+0 9.916322-6 3.965518+0 9.925984-6 3.914279+0 9.954971-6 3.798094+0 9.965138-6 3.774860+0 9.985118-6 3.763293+0 9.989546-6 3.767581+0 1.001395-5 3.841449+0 1.002006-5 3.873982+0 1.003836-5 4.006745+0 1.005181-5 4.137694+0 1.006465-5 4.287844+0 1.008601-5 4.585946+0 1.013599-5 5.426442+0 1.015430-5 5.738827+0 1.016040-5 5.838509+0 1.018481-5 6.199421+0 1.019091-5 6.277573+0 1.020922-5 6.476030+0 1.022157-5 6.576134+0 1.023336-5 6.644303+0 1.024515-5 6.684966+0 1.025447-5 6.697613+0 1.026846-5 6.685037+0 1.028244-5 6.636488+0 1.029464-5 6.567085+0 1.030685-5 6.475134+0 1.033125-5 6.235281+0 1.035566-5 5.941679+0 1.039247-5 5.450896+0 1.044784-5 4.736477+0 1.046612-5 4.530250+0 1.050000-5 4.204819+0 1.052499-5 4.017510+0 1.055070-5 3.873919+0 1.057903-5 3.772648+0 1.059176-5 3.745388+0 1.060450-5 3.728481+0 1.061677-5 3.721088+0 1.064437-5 3.730782+0 1.073187-5 3.850389+0 1.075735-5 3.865006+0 1.077079-5 3.864071+0 1.079094-5 3.850738+0 1.081110-5 3.823671+0 1.083771-5 3.770196+0 1.085930-5 3.716151+0 1.094255-5 3.489309+0 1.097473-5 3.414832+0 1.099943-5 3.365245+0 1.103579-5 3.302070+0 1.116735-5 3.109222+0 1.122068-5 3.027256+0 1.129529-5 2.895709+0 1.135106-5 2.777880+0 1.138832-5 2.689139+0 1.145082-5 2.529181+0 1.152785-5 2.339366+0 1.156881-5 2.253590+0 1.160134-5 2.195392+0 1.164170-5 2.134771+0 1.168184-5 2.084515+0 1.182987-5 1.927928+0 1.195914-5 1.781744+0 1.202264-5 1.708307+0 1.245000-5 1.228661+0 1.280000-5 8.884995-1 1.308066-5 6.664707-1 1.336025-5 4.983792-1 1.364622-5 3.846871-1 1.374698-5 3.590753-1 1.381416-5 3.472244-1 1.388145-5 3.396211-1 1.391492-5 3.374310-1 1.394555-5 3.363606-1 1.398210-5 3.362620-1 1.401779-5 3.374194-1 1.405691-5 3.401326-1 1.412538-5 3.485973-1 1.421722-5 3.676180-1 1.431798-5 3.989589-1 1.447636-5 4.709082-1 1.462177-5 5.630475-1 1.474904-5 6.666936-1 1.508578-5 1.054044+0 1.529312-5 1.382764+0 1.551725-5 1.749449+0 1.560178-5 1.822044+0 1.581516-5 1.745858+0 1.604532-5 1.506010+0 1.623712-5 1.305593+0 1.643725-5 1.106901+0 1.660339-5 9.530935-1 1.668451-5 8.825903-1 1.684422-5 7.540144-1 1.699895-5 6.446474-1 1.714883-5 5.565099-1 1.729404-5 4.916312-1 1.743470-5 4.518502-1 1.756212-5 4.391082-1 1.757097-5 4.391475-1 1.770298-5 4.558106-1 1.778279-5 4.820727-1 1.783087-5 5.044932-1 1.795476-5 5.876082-1 1.807478-5 7.072985-1 1.819104-5 8.659991-1 1.830368-5 1.066406+0 1.841279-5 1.311297+0 1.862090-5 1.945919+0 1.881620-5 2.793598+0 1.892506-5 3.400092+0 1.909518-5 4.587675+0 1.925962-5 6.072779+0 1.941900-5 7.907073+0 1.970310-5 1.249179+1 2.008128-5 2.271222+1 2.029277-5 3.175594+1 2.037485-5 3.621583+1 2.047568-5 4.263135+1 2.062489-5 5.450808+1 2.071849-5 6.381570+1 2.076662-5 6.929309+1 2.084516-5 7.943535+1 2.094770-5 9.541161+1 2.100068-5 1.051529+2 2.109691-5 1.261194+2 2.118421-5 1.497810+2 2.126217-5 1.758857+2 2.132744-5 2.025337+2 2.138593-5 2.312870+2 2.143711-5 2.613170+2 2.148188-5 2.922933+2 2.153200-5 3.334461+2 2.155535-5 3.553997+2 2.161535-5 4.215879+2 2.166034-5 4.821433+2 2.171940-5 5.787554+2 2.181642-5 7.884156+2 2.192381-5 1.109935+3 2.210640-5 1.959602+3 2.213863-5 2.171666+3 2.217086-5 2.412455+3 2.222722-5 2.920790+3 2.225943-5 3.273328+3 2.230774-5 3.906585+3 2.235447-5 4.659374+3 2.244756-5 6.632954+3 2.248964-5 7.736391+3 2.255405-5 9.635951+3 2.256049-5 9.836397+3 2.261042-5 1.142154+4 2.264132-5 1.240393+4 2.266737-5 1.321111+4 2.269393-5 1.399738+4 2.271919-5 1.469528+4 2.274163-5 1.526236+4 2.276844-5 1.586137+4 2.279967-5 1.643216+4 2.282629-5 1.679691+4 2.284009-5 1.693832+4 2.286711-5 1.711645+4 2.289339-5 1.716076+4 2.290782-5 1.713046+4 2.293450-5 1.697335+4 2.295450-5 1.677178+4 2.299270-5 1.619890+4 2.302006-5 1.565079+4 2.304028-5 1.518108+4 2.306627-5 1.450742+4 2.308711-5 1.391918+4 2.310414-5 1.341301+4 2.312649-5 1.272108+4 2.315522-5 1.179954+4 2.318270-5 1.090099+4 2.321019-5 1.000169+4 2.324110-5 9.006565+3 2.326515-5 8.255358+3 2.332011-5 6.649713+3 2.333901-5 6.141298+3 2.335704-5 5.679163+3 2.338882-5 4.922383+3 2.342493-5 4.153387+3 2.346077-5 3.485001+3 2.348709-5 3.052055+3 2.351523-5 2.640483+3 2.354337-5 2.278542+3 2.365921-5 1.227027+3 2.371737-5 9.064751+2 2.373757-5 8.197614+2 2.375652-5 7.484830+2 2.377546-5 6.861272+2 2.379571-5 6.285340+2 2.380298-5 6.100047+2 2.385386-5 5.085210+2 2.386112-5 4.976838+2 2.387384-5 4.806946+2 2.391200-5 4.435144+2 2.392922-5 4.327924+2 2.393904-5 4.281791+2 2.394764-5 4.249820+2 2.396269-5 4.211530+2 2.397397-5 4.196537+2 2.399090-5 4.194093+2 2.400783-5 4.213229+2 2.402883-5 4.262873+2 2.404599-5 4.321371+2 2.407574-5 4.452628+2 2.416150-5 4.933098+2 2.420010-5 5.144382+2 2.421753-5 5.230376+2 2.427197-5 5.442186+2 2.429235-5 5.495174+2 2.431966-5 5.541266+2 2.434033-5 5.556808+2 2.437161-5 5.549023+2 2.439726-5 5.515836+2 2.442240-5 5.461839+2 2.445565-5 5.361834+2 2.447564-5 5.288440+2 2.451732-5 5.111071+2 2.458238-5 4.796099+2 2.471084-5 4.189297+2 2.477877-5 3.929655+2 2.483332-5 3.758473+2 2.488269-5 3.628925+2 2.497513-5 3.434185+2 2.511599-5 3.199324+2 2.549031-5 2.669890+2 2.563777-5 2.502020+2 2.578345-5 2.360082+2 2.587561-5 2.280303+2 2.606179-5 2.137286+2 2.625170-5 2.009612+2 2.678962-5 1.705464+2 2.704304-5 1.585576+2 2.744568-5 1.420357+2 2.774322-5 1.315055+2 2.810892-5 1.201823+2 2.851018-5 1.093238+2 2.886624-5 1.008309+2 3.071452-5 6.798978+1 3.175942-5 5.517908+1 3.221640-5 5.078468+1 3.246039-5 4.877996+1 3.268914-5 4.714232+1 3.290359-5 4.586042+1 3.310150-5 4.494387+1 3.328723-5 4.436945+1 3.346153-5 4.413771+1 3.362511-5 4.424047+1 3.377862-5 4.463490+1 3.415258-5 4.615094+1 3.428703-5 4.641987+1 3.440700-5 4.639852+1 3.465739-5 4.604393+1 3.474740-5 4.614932+1 3.479030-5 4.631465+1 3.483187-5 4.657025+1 3.487213-5 4.692591+1 3.491114-5 4.739052+1 3.494892-5 4.797230+1 3.498553-5 4.867910+1 3.502099-5 4.951864+1 3.505535-5 5.049867+1 3.508863-5 5.162717+1 3.515311-5 5.441382+1 3.521356-5 5.792460+1 3.527024-5 6.224354+1 3.532337-5 6.746169+1 3.537318-5 7.367366+1 3.541988-5 8.097240+1 3.546366-5 8.944311+1 3.550470-5 9.915705+1 3.554318-5 1.101661+2 3.557925-5 1.224985+2 3.561307-5 1.361565+2 3.564477-5 1.511155+2 3.567450-5 1.673251+2 3.570236-5 1.847112+2 3.572849-5 2.031792+2 3.577747-5 2.443327+2 3.582033-5 2.885070+2 3.589064-5 3.811761+2 3.601936-5 6.359838+2 3.607774-5 7.976502+2 3.613615-5 9.938832+2 3.617565-5 1.147890+3 3.620302-5 1.265216+3 3.623038-5 1.391485+3 3.627486-5 1.616108+3 3.631934-5 1.864763+3 3.641386-5 2.469221+3 3.643471-5 2.615210+3 3.649725-5 3.075598+3 3.653148-5 3.338856+3 3.658621-5 3.769734+3 3.661564-5 4.003366+3 3.665999-5 4.352988+3 3.669937-5 4.656215+3 3.673101-5 4.891515+3 3.675000-5 5.027948+3 3.677577-5 5.206254+3 3.680960-5 5.426166+3 3.685003-5 5.664203+3 3.690034-5 5.916052+3 3.694343-5 6.087132+3 3.696576-5 6.158183+3 3.700624-5 6.254646+3 3.704829-5 6.309147+3 3.709252-5 6.315281+3 3.712812-5 6.282285+3 3.714706-5 6.251226+3 3.721379-5 6.070502+3 3.724872-5 5.934696+3 3.727598-5 5.810954+3 3.731494-5 5.609789+3 3.733998-5 5.467007+3 3.736502-5 5.315018+3 3.739271-5 5.137638+3 3.742906-5 4.892559+3 3.747579-5 4.562357+3 3.752027-5 4.238558+3 3.756475-5 3.911646+3 3.761478-5 3.546985+3 3.765370-5 3.269874+3 3.774266-5 2.672882+3 3.775240-5 2.611388+3 3.789846-5 1.800410+3 3.799671-5 1.380130+3 3.807406-5 1.118029+3 3.812400-5 9.782747+2 3.818458-5 8.367220+2 3.822326-5 7.608381+2 3.826057-5 6.972821+2 3.828798-5 6.561167+2 3.832910-5 6.023630+2 3.837022-5 5.572501+2 3.839273-5 5.358517+2 3.843940-5 4.980567+2 3.846696-5 4.794885+2 3.850887-5 4.558800+2 3.854391-5 4.399068+2 3.858937-5 4.235141+2 3.861707-5 4.155770+2 3.863884-5 4.102796+2 3.870215-5 3.987900+2 3.875268-5 3.928935+2 3.882487-5 3.878855+2 3.897164-5 3.837323+2 3.908046-5 3.814692+2 3.916134-5 3.789229+2 3.927715-5 3.735450+2 3.939976-5 3.660533+2 3.967317-5 3.478735+2 3.984745-5 3.381347+2 4.031034-5 3.172367+2 4.054471-5 3.057798+2 4.097198-5 2.852294+2 4.109757-5 2.801424+2 4.126683-5 2.741458+2 4.155137-5 2.659193+2 4.184282-5 2.591418+2 4.217991-5 2.526330+2 4.269645-5 2.446061+2 4.338279-5 2.365749+2 4.393750-5 2.317713+2 4.458185-5 2.278375+2 4.543044-5 2.246267+2 4.654043-5 2.226226+2 4.784175-5 2.231924+2 4.852396-5 2.243419+2 4.958332-5 2.271289+2 5.120000-5 2.336717+2 5.300228-5 2.434962+2 5.506499-5 2.575839+2 5.824549-5 2.829347+2 5.888437-5 2.888053+2 5.922415-5 2.931422+2 5.958076-5 2.995315+2 6.041100-5 3.195616+2 6.063811-5 3.240877+2 6.092854-5 3.282417+2 6.185070-5 3.363178+2 6.220308-5 3.407185+2 6.340389-5 3.580620+2 6.553600-5 3.854559+2 7.350185-5 5.047542+2 7.675371-5 5.568094+2 7.973080-5 6.038205+2 8.258545-5 6.479484+2 8.572794-5 6.939025+2 8.846325-5 7.307088+2 9.150000-5 7.671691+2 9.482079-5 8.006070+2 9.832076-5 8.263499+2 1.011579-4 8.378614+2 1.031673-4 8.410334+2 1.050781-4 8.379150+2 1.073442-4 8.266970+2 1.091969-4 8.098202+2 1.107777-4 7.887362+2 1.121264-4 7.689341+2 1.130737-4 7.658435+2 1.142626-4 7.889532+2 1.152995-4 8.293351+2 1.161647-4 8.746811+2 1.168154-4 9.176064+2 1.174912-4 9.736991+2 1.181070-4 1.039984+3 1.186911-4 1.123855+3 1.191119-4 1.203999+3 1.194857-4 1.295916+3 1.197860-4 1.389637+3 1.199662-4 1.456959+3 1.204091-4 1.669693+3 1.205567-4 1.759353+3 1.208520-4 1.974421+3 1.211240-4 2.222626+3 1.213688-4 2.494285+3 1.216451-4 2.863036+3 1.224170-4 4.267303+3 1.225056-4 4.461346+3 1.228431-4 5.246607+3 1.231432-4 5.981890+3 1.232088-4 6.144005+3 1.234274-4 6.678839+3 1.235828-4 7.047895+3 1.237536-4 7.435343+3 1.239052-4 7.757603+3 1.241001-4 8.133437+3 1.242625-4 8.406723+3 1.244653-4 8.688900+3 1.246377-4 8.870985+3 1.248205-4 9.000704+3 1.249643-4 9.054574+3 1.251598-4 9.057452+3 1.252975-4 9.010411+3 1.255290-4 8.841385+3 1.256749-4 8.679200+3 1.257980-4 8.511270+3 1.259386-4 8.287030+3 1.260482-4 8.090514+3 1.262049-4 7.780629+3 1.263685-4 7.426353+3 1.265563-4 6.990721+3 1.267438-4 6.535644+3 1.269407-4 6.048563+3 1.270064-4 5.886189+3 1.273439-4 5.070549+3 1.276065-4 4.479124+3 1.283235-4 3.162244+3 1.286292-4 2.745497+3 1.288752-4 2.467356+3 1.291997-4 2.168015+3 1.295921-4 1.888559+3 1.300299-4 1.654143+3 1.305225-4 1.454758+3 1.311286-4 1.267537+3 1.316031-4 1.155361+3 1.319670-4 1.093494+3 1.323188-4 1.062207+3 1.325886-4 1.064300+3 1.328255-4 1.090031+3 1.330174-4 1.130292+3 1.331736-4 1.177487+3 1.332630-4 1.210742+3 1.333684-4 1.256131+3 1.335063-4 1.325993+3 1.335977-4 1.379048+3 1.341164-4 1.785677+3 1.346013-4 2.325438+3 1.348549-4 2.662033+3 1.349952-4 2.861369+3 1.352426-4 3.231477+3 1.353993-4 3.474779+3 1.355744-4 3.751389+3 1.356990-4 3.949216+3 1.358936-4 4.256038+3 1.360866-4 4.552609+3 1.361731-4 4.681314+3 1.364033-4 5.005696+3 1.365581-4 5.204899+3 1.366873-4 5.356539+3 1.368649-4 5.540249+3 1.371819-4 5.784917+3 1.373132-4 5.851622+3 1.375519-4 5.917489+3 1.376597-4 5.923468+3 1.378432-4 5.900016+3 1.379894-4 5.852015+3 1.381845-4 5.750183+3 1.383942-4 5.597460+3 1.386093-4 5.401721+3 1.387760-4 5.228342+3 1.390313-4 4.936756+3 1.394188-4 4.464595+3 1.398250-4 3.976158+3 1.403300-4 3.434084+3 1.406402-4 3.152354+3 1.408000-4 3.023682+3 1.410410-4 2.850231+3 1.413415-4 2.666531+3 1.416524-4 2.510313+3 1.421097-4 2.331600+3 1.427209-4 2.162485+3 1.433957-4 2.036388+3 1.440094-4 1.956853+3 1.446469-4 1.897427+3 1.454277-4 1.844785+3 1.458258-4 1.823055+3 1.473313-4 1.754556+3 1.489062-4 1.696394+3 1.512836-4 1.633415+3 1.540000-4 1.588252+3 1.572000-4 1.556128+3 1.627000-4 1.526303+3 1.663660-4 1.507566+3 1.731257-4 1.463550+3 1.772499-4 1.430822+3 1.850915-4 1.363708+3 1.944000-4 1.282109+3 2.072028-4 1.174970+3 2.252620-4 1.040164+3 2.383015-4 9.537272+2 2.446064-4 9.131630+2 2.474067-4 8.939299+2 2.523063-4 8.555175+2 2.553732-4 8.301264+2 2.568562-4 8.219924+2 2.586075-4 8.184586+2 2.633592-4 8.231871+2 2.646579-4 8.228504+2 2.683971-4 8.174442+2 2.750000-4 8.027783+2 2.952802-4 7.532033+2 3.139687-4 7.095767+2 3.255940-4 6.836861+2 3.512662-4 6.280013+2 3.551575-4 6.245406+2 3.617185-4 6.240881+2 3.758374-4 6.143635+2 4.020108-4 5.850660+2 4.213884-4 5.581079+2 4.293970-4 5.470071+2 4.380952-4 5.385324+2 4.520747-4 5.222652+2 4.726479-4 4.924128+2 4.867183-4 4.691082+2 5.033133-4 4.383849+2 5.169629-4 4.097272+2 5.261791-4 3.883842+2 5.382672-4 3.575726+2 5.468261-4 3.343919+2 5.566701-4 3.080777+2 5.665000-4 2.831109+2 5.707207-4 2.716875+2 5.735837-4 2.633031+2 5.797000-4 2.441340+2 5.821032-4 2.363259+2 5.848000-4 2.274114+2 5.898240-4 2.103410+2 5.943179-4 1.947000+2 5.978030-4 1.826022+2 6.074974-4 1.519453+2 6.101218-4 1.452068+2 6.130014-4 1.390047+2 6.161310-4 1.339843+2 6.191476-4 1.311639+2 6.215041-4 1.305460+2 6.239002-4 1.315076+2 6.269326-4 1.352475+2 6.300500-4 1.422995+2 6.321094-4 1.488744+2 6.352482-4 1.620033+2 6.384982-4 1.797241+2 6.418342-4 2.024103+2 6.463733-4 2.406697+2 6.533741-4 3.160326+2 6.582500-4 3.793797+2 6.625614-4 4.417565+2 6.654983-4 4.871191+2 6.672488-4 5.150984+2 6.707492-4 5.728135+2 6.733746-4 6.173553+2 6.760830-4 6.641271+2 6.792388-4 7.193068+2 6.820000-4 7.678710+2 6.839857-4 8.028035+2 6.865550-4 8.478469+2 6.892223-4 8.942486+2 6.918310-4 9.391119+2 6.967500-4 1.021896+3 7.032956-4 1.127640+3 7.100000-4 1.229886+3 7.182730-4 1.346864+3 7.244360-4 1.427148+3 7.344371-4 1.545295+3 7.422060-4 1.627796+3 7.500000-4 1.702809+3 7.542888-4 1.740873+3 7.662580-4 1.837079+3 7.709283-4 1.871143+3 7.814336-4 1.941856+3 7.962251-4 2.030558+3 8.107429-4 2.106008+3 8.239782-4 2.165101+3 8.395046-4 2.225663+3 8.591371-4 2.291426+3 8.785166-4 2.342756+3 8.948067-4 2.374283+3 9.120108-4 2.396766+3 9.277677-4 2.436285+3 9.326598-4 2.474168+3 9.401062-4 2.558601+3 9.456008-4 2.613079+3 9.483798-4 2.627065+3 9.504848-4 2.629588+3 9.529008-4 2.623994+3 9.554464-4 2.609867+3 9.647326-4 2.539434+3 9.669163-4 2.530211+3 9.692500-4 2.526278+3 9.730200-4 2.532859+3 9.800541-4 2.577711+3 9.879270-4 2.652948+3 9.995085-4 2.785397+3 1.008755-3 2.882519+3 1.013214-3 2.910713+3 1.016263-3 2.921464+3 1.031026-3 2.938505+3 1.038333-3 2.964033+3 1.048650-3 3.015655+3 1.065369-3 3.091093+3 1.091060-3 3.179689+3 1.122019-3 3.263118+3 1.151170-3 3.326699+3 1.194119-3 3.402564+3 1.233741-3 3.449986+3 1.263928-3 3.466971+3 1.293317-3 3.467692+3 1.299660-3 3.475270+3 1.309546-3 3.500012+3 1.344460-3 3.645408+3 1.359316-3 3.691078+3 1.382930-3 3.740618+3 1.418330-3 3.790080+3 1.462935-3 3.834322+3 1.504874-3 3.862717+3 1.560001-3 3.889348+3 1.615615-3 3.903925+3 1.676568-3 3.913254+3 1.707750-3 3.929963+3 1.745948-3 3.940156+3 1.799549-3 3.934959+3 1.852342-3 3.922916+3 1.904377-3 3.943228+3 1.959162-3 3.947334+3 2.045969-3 3.936812+3 2.140080-3 3.911969+3 2.256511-3 3.869233+3 2.368162-3 3.821161+3 2.496570-3 3.756147+3 2.626486-3 3.682970+3 2.774351-3 3.595200+3 2.922680-3 3.495712+3 3.081414-3 3.383982+3 3.249905-3 3.257233+3 3.399601-3 3.133821+3 3.537936-3 3.012798+3 3.667005-3 2.889711+3 3.779382-3 2.772934+3 3.868121-3 2.672472+3 3.944715-3 2.576990+3 4.019690-3 2.472194+3 4.079788-3 2.376479+3 4.132296-3 2.280560+3 4.173585-3 2.193212+3 4.209688-3 2.103222+3 4.237570-3 2.021173+3 4.254374-3 1.965714+3 4.307962-3 1.781751+3 4.320535-3 1.748566+3 4.334946-3 1.722253+3 4.348618-3 1.711654+3 4.358881-3 1.713749+3 4.369562-3 1.724981+3 4.380892-3 1.746080+3 4.398734-3 1.794299+3 4.430579-3 1.900585+3 4.447815-3 1.954839+3 4.464613-3 1.999144+3 4.480732-3 2.031899+3 4.499741-3 2.058448+3 4.512573-3 2.070117+3 4.571900-3 2.102103+3 4.585781-3 2.116015+3 4.603802-3 2.143531+3 4.625878-3 2.193402+3 4.650000-3 2.265574+3 4.702569-3 2.445814+3 4.721857-3 2.506038+3 4.741021-3 2.558820+3 4.765994-3 2.616631+3 4.795597-3 2.671186+3 4.836500-3 2.728519+3 4.886287-3 2.779941+3 4.940075-3 2.819016+3 4.983105-3 2.838988+3 5.037517-3 2.850248+3 5.081036-3 2.846758+3 5.143984-3 2.821194+3 5.188281-3 2.804170+3 5.207516-3 2.804935+3 5.224930-3 2.812600+3 5.254888-3 2.842717+3 5.290334-3 2.899733+3 5.339757-3 2.986747+3 5.362980-3 3.021134+3 5.392216-3 3.056017+3 5.428757-3 3.088470+3 5.477463-3 3.119063+3 5.535558-3 3.144459+3 5.600106-3 3.163736+3 5.672602-3 3.177888+3 5.765280-3 3.187335+3 5.924644-3 3.184814+3 6.116941-3 3.159674+3 6.231470-3 3.134716+3 6.376446-3 3.088182+3 6.505488-3 3.033478+3 6.561022-3 3.021655+3 6.703568-3 3.029314+3 6.801139-3 3.018968+3 6.939340-3 2.992441+3 7.118127-3 2.998789+3 7.292738-3 2.984266+3 7.547713-3 2.941848+3 7.864320-3 2.876976+3 8.426069-3 2.750232+3 9.047117-3 2.606760+3 9.606786-3 2.478563+3 1.039599-2 2.306194+3 1.133113-2 2.118209+3 1.217752-2 1.963353+3 1.328405-2 1.780550+3 1.445440-2 1.609247+3 1.513144-2 1.518440+3 1.573677-2 1.441361+3 1.639542-2 1.361379+3 1.697022-2 1.294389+3 1.747205-2 1.237173+3 1.792410-2 1.186367+3 1.831935-2 1.141865+3 1.866231-2 1.102427+3 1.891749-2 1.072180+3 1.916482-2 1.041526+3 1.936126-2 1.015614+3 1.949187-2 9.971434+2 1.964736-2 9.730588+2 1.977041-2 9.514394+2 1.986593-2 9.324191+2 2.000566-2 9.008116+2 2.019719-2 8.570648+2 2.028142-2 8.432350+2 2.034405-2 8.371277+2 2.041841-2 8.352797+2 2.049392-2 8.392577+2 2.058470-2 8.501850+2 2.077919-2 8.819517+2 2.091552-2 9.003518+2 2.099538-2 9.081210+2 2.107867-2 9.140592+2 2.119036-2 9.192974+2 2.133352-2 9.228520+2 2.150000-2 9.241297+2 2.187171-2 9.203526+2 2.214861-2 9.138123+2 2.270743-2 8.950033+2 2.332543-2 8.688562+2 2.398992-2 8.363181+2 2.453672-2 8.057953+2 2.479562-2 7.896594+2 2.502883-2 7.735803+2 2.520723-2 7.596654+2 2.545551-2 7.369268+2 2.575835-2 7.074794+2 2.588366-2 6.985181+2 2.600393-2 6.934570+2 2.612952-2 6.919057+2 2.634147-2 6.946396+2 2.686763-2 7.045973+2 2.730508-2 7.170410+2 2.755532-2 7.211080+2 2.793452-2 7.213506+2 2.836598-2 7.171760+2 2.903419-2 7.066131+2 2.993987-2 6.887179+2 3.138428-2 6.570421+2 3.353244-2 6.091621+2 3.602940-2 5.572558+2 3.907812-2 5.006418+2 4.231723-2 4.475849+2 4.656992-2 3.886047+2 5.134592-2 3.346190+2 5.610206-2 2.902727+2 6.114227-2 2.514777+2 6.956489-2 2.014282+2 8.234268-2 1.496783+2 9.314867-2 1.198847+2 1.015032-1 1.023601+2 1.102356-1 8.751931+1 1.145704-1 8.113988+1 1.187522-1 7.547483+1 1.222561-1 7.102679+1 1.273956-1 6.484616+1 1.294032-1 6.247875+1 1.310196-1 6.055136+1 1.324069-1 5.884754+1 1.335673-1 5.734620+1 1.344932-1 5.605196+1 1.352244-1 5.493081+1 1.364246-1 5.285793+1 1.378372-1 5.042180+1 1.385320-1 4.959606+1 1.389470-1 4.931156+1 1.394525-1 4.919260+1 1.400897-1 4.935457+1 1.422228-1 5.074322+1 1.432672-1 5.110813+1 1.439818-1 5.118886+1 1.448644-1 5.115760+1 1.471188-1 5.072036+1 1.500000-1 4.980480+1 1.540598-1 4.824776+1 1.591454-1 4.616887+1 1.667086-1 4.308887+1 1.796132-1 3.821862+1 1.966451-1 3.278386+1 2.234145-1 2.621309+1 2.670061-1 1.901785+1 3.198895-1 1.364237+1 3.992906-1 9.009756+0 5.208280-1 5.437124+0 7.397117-1 2.766963+0 1.173413+0 1.128259+0 1.776032+0 4.995962-1 2.947480+0 1.830038-1 6.752287+0 3.503755-2 2.039158+1 3.844521-3 6.158159+1 4.215366-4 1.859734+2 4.622046-5 5.616308+2 5.067970-6 1.995262+3 4.015465-7 6.309573+3 4.015465-8 1.995262+4 4.015465-9 6.309573+4 4.01546-10 1.000000+5 1.59859-10 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.607300-6 1.258900-6 4.132400-6 1.584900-6 6.549300-6 1.995300-6 1.038000-5 2.511900-6 1.645100-5 3.162300-6 2.607300-5 3.981100-6 4.132300-5 5.011900-6 6.549200-5 6.309600-6 1.038000-4 7.943300-6 1.645100-4 1.000000-5 2.607200-4 1.258900-5 4.132100-4 1.584900-5 6.545700-4 1.995300-5 1.036800-3 2.511900-5 1.642300-3 3.162300-5 2.601900-3 3.981100-5 4.122500-3 5.011900-5 6.532300-3 6.309600-5 1.035100-2 7.943300-5 1.637600-2 1.000000-4 2.589700-2 1.258900-4 4.095000-2 1.584900-4 6.458700-2 1.995300-4 1.016800-1 2.511900-4 1.593700-1 3.162300-4 2.482400-1 3.981100-4 3.827700-1 5.011900-4 5.782900-1 6.309600-4 8.528500-1 7.943300-4 1.219500+0 1.000000-3 1.687100+0 1.258900-3 2.272900+0 1.584900-3 3.012100+0 1.995300-3 3.956900+0 2.511900-3 5.136800+0 3.162300-3 6.571000+0 3.981100-3 8.280100+0 5.011900-3 1.027700+1 6.309600-3 1.254000+1 7.943300-3 1.509000+1 1.000000-2 1.795600+1 1.258900-2 2.114900+1 1.584900-2 2.448000+1 1.995300-2 2.774800+1 2.511900-2 3.082300+1 3.162300-2 3.371200+1 3.981100-2 3.626400+1 5.011900-2 3.833600+1 6.309600-2 3.976500+1 7.943300-2 4.048000+1 1.000000-1 4.049700+1 1.258900-1 3.988800+1 1.584900-1 3.863100+1 1.995300-1 3.698000+1 2.511900-1 3.493500+1 3.162300-1 3.267100+1 3.981100-1 3.027100+1 5.011900-1 2.782100+1 6.309600-1 2.537700+1 7.943300-1 2.298200+1 1.000000+0 2.067000+1 1.258900+0 1.846400+1 1.584900+0 1.638100+1 1.995300+0 1.443600+1 2.511900+0 1.263800+1 3.162300+0 1.099400+1 3.981100+0 9.506600+0 5.011900+0 8.173500+0 6.309600+0 6.990500+0 7.943300+0 5.949500+0 1.000000+1 5.041100+0 1.258900+1 4.254000+0 1.584900+1 3.576600+0 1.995300+1 2.997100+0 2.511900+1 2.503900+0 3.162300+1 2.086300+0 3.981100+1 1.734000+0 5.011900+1 1.438000+0 6.309600+1 1.190200+0 7.943300+1 9.832500-1 1.000000+2 8.109600-1 1.258900+2 6.678400-1 1.584900+2 5.492200-1 1.995300+2 4.511000-1 2.511900+2 3.700700-1 3.162300+2 3.032600-1 3.981100+2 2.482700-1 5.011900+2 2.030600-1 6.309600+2 1.659300-1 7.943300+2 1.354900-1 1.000000+3 1.105400-1 1.258900+3 9.012200-2 1.584900+3 7.342500-2 1.995300+3 5.978400-2 2.511900+3 4.864700-2 3.162300+3 3.956200-2 3.981100+3 3.215600-2 5.011900+3 2.612200-2 6.309600+3 2.121000-2 7.943300+3 1.721400-2 1.000000+4 1.396400-2 1.258900+4 1.132300-2 1.584900+4 9.177200-3 1.995300+4 7.435300-3 2.511900+4 6.021600-3 3.162300+4 4.875000-3 3.981100+4 3.945200-3 5.011900+4 3.191700-3 6.309600+4 2.581200-3 7.943300+4 2.086800-3 1.000000+5 1.686600-3 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510165-4 3.162278-4 3.159556-4 3.981072-4 3.976775-4 5.011872-4 5.005111-4 6.309573-4 6.298961-4 7.943282-4 7.926681-4 1.000000-3 9.974061-4 1.258925-3 1.254877-3 1.584893-3 1.578564-3 1.995262-3 1.985319-3 2.511886-3 2.496267-3 3.162278-3 3.137743-3 3.981072-3 3.942634-3 5.011872-3 4.951859-3 6.309573-3 6.215908-3 7.943282-3 7.797169-3 1.000000-2 9.771717-3 1.258925-2 1.223424-2 1.584893-2 1.529855-2 1.995262-2 1.910458-2 2.511886-2 2.381750-2 3.162278-2 2.963597-2 3.981072-2 3.678791-2 5.011872-2 4.554969-2 6.309573-2 5.624237-2 7.943282-2 6.925711-2 1.000000-1 8.501457-2 1.258925-1 1.039915-1 1.584893-1 1.269150-1 1.995262-1 1.542220-1 2.511886-1 1.869328-1 3.162278-1 2.257610-1 3.981072-1 2.718670-1 5.011872-1 3.263780-1 6.309573-1 3.907455-1 7.943282-1 4.666460-1 1.000000+0 5.559210-1 1.258925+0 6.612938-1 1.584893+0 7.855337-1 1.995262+0 9.326178-1 2.511886+0 1.107209+0 3.162278+0 1.314928+0 3.981072+0 1.562901+0 5.011872+0 1.859758+0 6.309573+0 2.216000+0 7.943282+0 2.644635+0 1.000000+1 3.161224+0 1.258925+1 3.785354+0 1.584893+1 4.540500+0 1.995262+1 5.455767+0 2.511886+1 6.566546+0 3.162278+1 7.916624+0 3.981072+1 9.559095+0 5.011872+1 1.155983+1 6.309573+1 1.399962+1 7.943282+1 1.697729+1 1.000000+2 2.061471+1 1.258925+2 2.506188+1 1.584893+2 3.050322+1 1.995262+2 3.716728+1 2.511886+2 4.533221+1 3.162278+2 5.534481+1 3.981072+2 6.762936+1 5.011872+2 8.271275+1 6.309573+2 1.012423+2 7.943282+2 1.240183+2 1.000000+3 1.520280+2 1.258925+3 1.864929+2 1.584893+3 2.289146+2 1.995262+3 2.811765+2 2.511886+3 3.455614+2 3.162278+3 4.249285+2 3.981072+3 5.228163+2 5.011872+3 6.435840+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88199-10 1.995262-5 1.090633-9 2.511886-5 1.728509-9 3.162278-5 2.739530-9 3.981072-5 4.341904-9 5.011872-5 6.881426-9 6.309573-5 1.090600-8 7.943282-5 1.727676-8 1.000000-4 2.737390-8 1.258925-4 4.337554-8 1.584893-4 6.868955-8 1.995262-4 1.087653-7 2.511886-4 1.721229-7 3.162278-4 2.721457-7 3.981072-4 4.296529-7 5.011872-4 6.761385-7 6.309573-4 1.061268-6 7.943282-4 1.660132-6 1.000000-3 2.593897-6 1.258925-3 4.048778-6 1.584893-3 6.329579-6 1.995262-3 9.943220-6 2.511886-3 1.561979-5 3.162278-3 2.453423-5 3.981072-3 3.843774-5 5.011872-3 6.001342-5 6.309573-3 9.366510-5 7.943282-3 1.461134-4 1.000000-2 2.282829-4 1.258925-2 3.550178-4 1.584893-2 5.503853-4 1.995262-2 8.480416-4 2.511886-2 1.301366-3 3.162278-2 1.986809-3 3.981072-2 3.022806-3 5.011872-2 4.569036-3 6.309573-2 6.853361-3 7.943282-2 1.017571-2 1.000000-1 1.498543-2 1.258925-1 2.190102-2 1.584893-1 3.157435-2 1.995262-1 4.530422-2 2.511886-1 6.425583-2 3.162278-1 9.046679-2 3.981072-1 1.262401-1 5.011872-1 1.748092-1 6.309573-1 2.402119-1 7.943282-1 3.276823-1 1.000000+0 4.440790-1 1.258925+0 5.976317-1 1.584893+0 7.993595-1 1.995262+0 1.062645+0 2.511886+0 1.404678+0 3.162278+0 1.847349+0 3.981072+0 2.418171+0 5.011872+0 3.152114+0 6.309573+0 4.093574+0 7.943282+0 5.298647+0 1.000000+1 6.838776+0 1.258925+1 8.803900+0 1.584893+1 1.130843+1 1.995262+1 1.449686+1 2.511886+1 1.855232+1 3.162278+1 2.370615+1 3.981072+1 3.025162+1 5.011872+1 3.855890+1 6.309573+1 4.909612+1 7.943282+1 6.245553+1 1.000000+2 7.938529+1 1.258925+2 1.008307+2 1.584893+2 1.279861+2 1.995262+2 1.623590+2 2.511886+2 2.058564+2 3.162278+2 2.608830+2 3.981072+2 3.304778+2 5.011872+2 4.184745+2 6.309573+2 5.297150+2 7.943282+2 6.703100+2 1.000000+3 8.479720+2 1.258925+3 1.072433+3 1.584893+3 1.355979+3 1.995262+3 1.714086+3 2.511886+3 2.166325+3 3.162278+3 2.737349+3 3.981072+3 3.458255+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.780000-6 1.080370+7 5.821032-6 1.061335+7 5.900000-6 1.021906+7 6.760830-6 6.719982+6 7.762471-6 4.426706+6 8.912509-6 2.940668+6 9.610000-6 2.362589+6 9.610000-6 5.217024+6 9.630000-6 5.155556+6 9.660509-6 5.099211+6 9.690000-6 5.065775+6 1.000000-5 4.645395+6 1.011579-5 4.505569+6 1.023293-5 4.371145+6 1.050000-5 4.094538+6 1.085000-5 3.780722+6 1.122018-5 3.500331+6 1.154000-5 3.293351+6 1.154000-5 4.911989+6 1.160000-5 4.841463+6 1.161449-5 4.828066+6 1.174898-5 4.711164+6 1.202264-5 4.487961+6 1.244515-5 4.197713+6 1.245000-5 4.194711+6 1.280000-5 3.994360+6 1.288250-5 3.951159+6 1.324700-5 3.779991+6 1.333521-5 3.742312+6 1.364583-5 3.623506+6 1.380384-5 3.569419+6 1.412538-5 3.472755+6 1.428894-5 3.428817+6 1.462177-5 3.351753+6 1.480000-5 3.315311+6 1.500000-5 3.280435+6 1.531087-5 3.233447+6 1.550000-5 3.210465+6 1.584893-5 3.176137+6 1.590000-5 3.171463+6 1.603245-5 3.162384+6 1.650000-5 3.139752+6 1.698244-5 3.135911+6 1.717908-5 3.137758+6 1.750000-5 3.147604+6 1.778279-5 3.160611+6 1.800000-5 3.174725+6 1.850000-5 3.215097+6 1.862087-5 3.227188+6 1.883649-5 3.251767+6 1.927525-5 3.303778+6 2.000000-5 3.413780+6 2.018366-5 3.444572+6 2.070000-5 3.540534+6 2.113489-5 3.628235+6 2.153200-5 3.715632+6 2.187762-5 3.796862+6 2.238721-5 3.919682+6 2.330000-5 4.167692+6 2.371374-5 4.287739+6 2.454709-5 4.546281+6 2.511886-5 4.734974+6 2.544000-5 4.843334+6 2.544000-5 3.778326+7 2.551000-5 3.691605+7 2.580000-5 3.457186+7 2.600160-5 3.315136+7 2.610000-5 3.249056+7 2.655000-5 2.989699+7 2.700000-5 2.778240+7 2.755000-5 2.567246+7 2.800000-5 2.426662+7 2.818383-5 2.373738+7 2.851018-5 2.291341+7 2.884032-5 2.214405+7 2.951209-5 2.083732+7 3.040000-5 1.949047+7 3.126079-5 1.850440+7 3.150000-5 1.826271+7 3.162278-5 1.815208+7 3.273407-5 1.729518+7 3.349654-5 1.687340+7 3.427678-5 1.651425+7 3.507519-5 1.625376+7 3.589219-5 1.606114+7 3.630781-5 1.597689+7 3.801894-5 1.581593+7 3.900000-5 1.578627+7 4.002000-5 1.582688+7 4.002000-5 2.716326+7 4.027170-5 2.669436+7 4.080000-5 2.585741+7 4.130000-5 2.521217+7 4.200000-5 2.448771+7 4.220000-5 2.431855+7 4.265795-5 2.395079+7 4.315191-5 2.361192+7 4.350000-5 2.339282+7 4.365158-5 2.331020+7 4.415704-5 2.305535+7 4.420000-5 2.303434+7 4.518559-5 2.264040+7 4.650000-5 2.225219+7 4.677351-5 2.219334+7 4.731513-5 2.208186+7 4.800000-5 2.196396+7 4.954502-5 2.177776+7 5.011872-5 2.172586+7 5.150000-5 2.166953+7 5.188000-5 2.165722+7 5.248075-5 2.164636+7 5.370318-5 2.163761+7 5.500000-5 2.167089+7 5.559043-5 2.168547+7 5.800000-5 2.178536+7 5.888437-5 2.184560+7 5.900000-5 2.185192+7 6.025596-5 2.191411+7 6.237348-5 2.206483+7 6.285000-5 2.208712+7 6.285000-5 2.255135+7 6.309573-5 2.256189+7 6.350000-5 2.257778+7 6.382635-5 2.259010+7 6.456542-5 2.262176+7 6.531306-5 2.265727+7 6.606934-5 2.266947+7 6.770000-5 2.270824+7 6.839116-5 2.272969+7 7.000000-5 2.272108+7 7.079458-5 2.272303+7 7.161434-5 2.272869+7 7.413102-5 2.265397+7 7.500000-5 2.259816+7 7.673615-5 2.249819+7 7.800000-5 2.237935+7 7.943282-5 2.225315+7 8.035261-5 2.213756+7 8.150000-5 2.199908+7 8.222426-5 2.191456+7 8.511380-5 2.146916+7 8.609938-5 2.128078+7 8.810489-5 2.091181+7 8.912509-5 2.068604+7 9.015711-5 2.046421+7 9.120108-5 2.024590+7 9.150000-5 2.017883+7 9.332543-5 1.973856+7 9.440609-5 1.948729+7 9.549926-5 1.919417+7 9.660509-5 1.890622+7 9.772372-5 1.862293+7 9.800000-5 1.854248+7 1.010000-4 1.770592+7 1.011579-4 1.765783+7 1.035142-4 1.696501+7 1.040000-4 1.682763+7 1.071519-4 1.587776+7 1.083927-4 1.548684+7 1.100000-4 1.500127+7 1.128000-4 1.412929+7 1.135011-4 1.390184+7 1.161449-4 1.308880+7 1.190000-4 1.221326+7 1.202264-4 1.183414+7 1.220000-4 1.131333+7 1.230269-4 1.100379+7 1.250000-4 1.043960+7 1.280000-4 9.598610+6 1.288250-4 9.368184+6 1.303167-4 8.969330+6 1.315000-4 8.668296+6 1.344800-4 7.920746+6 1.344800-4 8.718435+6 1.348963-4 8.669178+6 1.350000-4 8.656008+6 1.360000-4 8.527876+6 1.370000-4 8.415274+6 1.378000-4 8.333360+6 1.380384-4 8.309226+6 1.387000-4 8.240495+6 1.395400-4 8.156255+6 1.400000-4 8.110823+6 1.402000-4 8.092202+6 1.410000-4 8.015734+6 1.415000-4 7.966834+6 1.418000-4 7.936017+6 1.427000-4 7.839170+6 1.435000-4 7.750820+6 1.443000-4 7.659404+6 1.450000-4 7.575211+6 1.452000-4 7.550079+6 1.462177-4 7.412879+6 1.470000-4 7.303059+6 1.480000-4 7.157288+6 1.481700-4 7.131101+6 1.481700-4 7.658825+6 1.484000-4 7.634864+6 1.490000-4 7.571241+6 1.491000-4 7.559049+6 1.500000-4 7.458915+6 1.513561-4 7.314208+6 1.520000-4 7.246618+6 1.525000-4 7.195757+6 1.531087-4 7.130463+6 1.535000-4 7.089689+6 1.540000-4 7.037727+6 1.545000-4 6.984878+6 1.548817-4 6.943996+6 1.555000-4 6.881204+6 1.560000-4 6.827087+6 1.563000-4 6.794783+6 1.566751-4 6.752951+6 1.570000-4 6.716965+6 1.572000-4 6.694374+6 1.580000-4 6.601597+6 1.584893-4 6.544169+6 1.587000-4 6.520067+6 1.590000-4 6.484221+6 1.595000-4 6.423788+6 1.600000-4 6.361053+6 1.603245-4 6.320350+6 1.605000-4 6.298236+6 1.615000-4 6.167431+6 1.621810-4 6.077028+6 1.623000-4 6.061145+6 1.631000-4 5.951692+6 1.640590-4 5.818900+6 1.643000-4 5.785267+6 1.656400-4 5.594169+6 1.659587-4 5.548132+6 1.670000-4 5.399457+6 1.678804-4 5.273522+6 1.685000-4 5.184942+6 1.698244-4 4.995946+6 1.705000-4 4.903217+6 1.717908-4 4.726943+6 1.720000-4 4.698441+6 1.730000-4 4.563793+6 1.757924-4 4.205386+6 1.760000-4 4.179906+6 1.780000-4 3.937601+6 1.798871-4 3.723324+6 1.800000-4 3.710845+6 1.819701-4 3.496351+6 1.835000-4 3.340844+6 1.840772-4 3.283958+6 1.850000-4 3.194715+6 1.850800-4 3.187034+6 1.865000-4 3.053373+6 1.880000-4 2.918732+6 1.900000-4 2.749585+6 1.905461-4 2.705183+6 1.915000-4 2.628952+6 1.940000-4 2.440536+6 1.956200-4 2.326757+6 1.960100-4 2.300180+6 1.980000-4 2.169330+6 1.995262-4 2.074777+6 2.018366-4 1.940957+6 2.020000-4 1.931778+6 2.041738-4 1.814277+6 2.050000-4 1.772171+6 2.060000-4 1.722615+6 2.080000-4 1.628344+6 2.089296-4 1.587308+6 2.090000-4 1.584260+6 2.100000-4 1.541531+6 2.137962-4 1.392276+6 2.162719-4 1.304888+6 2.170000-4 1.280986+6 2.220000-4 1.131984+6 2.238721-4 1.082466+6 2.240000-4 1.079199+6 2.250000-4 1.054517+6 2.264644-4 1.020024+6 2.284300-4 9.766176+5 2.290868-4 9.628082+5 2.300000-4 9.440748+5 2.308000-4 9.283536+5 2.315000-4 9.150122+5 2.317395-4 9.105366+5 2.330000-4 8.875176+5 2.344229-4 8.627483+5 2.350000-4 8.529933+5 2.359100-4 8.383766+5 2.371374-4 8.196226+5 2.380000-4 8.069541+5 2.390000-4 7.927463+5 2.405000-4 7.723182+5 2.407000-4 7.696795+5 2.420000-4 7.530033+5 2.426610-4 7.448116+5 2.430000-4 7.407617+5 2.435000-4 7.349084+5 2.450000-4 7.179422+5 2.450600-4 7.172903+5 2.465000-4 7.021697+5 2.483133-4 6.842295+5 2.485000-4 6.824981+5 2.500000-4 6.689839+5 2.515000-4 6.562008+5 2.530000-4 6.441304+5 2.535000-4 6.402313+5 2.540973-4 6.356987+5 2.545200-4 6.327026+5 2.550000-4 6.293744+5 2.560000-4 6.226606+5 2.573000-4 6.142343+5 2.575000-4 6.129828+5 2.590000-4 6.038799+5 2.595000-4 6.009524+5 2.600160-4 5.980233+5 2.603600-4 5.961743+5 2.603600-4 9.256943+5 2.610000-4 9.209324+5 2.620000-4 9.137011+5 2.630268-4 9.066774+5 2.647000-4 8.956618+5 2.650000-4 8.937470+5 2.660725-4 8.870797+5 2.670000-4 8.816363+5 2.691535-4 8.696993+5 2.710000-4 8.602976+5 2.722701-4 8.541264+5 2.750000-4 8.422309+5 2.754229-4 8.405088+5 2.786121-4 8.287416+5 2.800000-4 8.241998+5 2.818383-4 8.185376+5 2.830000-4 8.151304+5 2.851018-4 8.095770+5 2.900000-4 7.993582+5 2.917427-4 7.963769+5 2.951209-4 7.914706+5 2.985383-4 7.874858+5 3.019952-4 7.844010+5 3.054921-4 7.819136+5 3.080000-4 7.807118+5 3.090295-4 7.802463+5 3.126079-4 7.791797+5 3.130000-4 7.790741+5 3.162278-4 7.785960+5 3.180000-4 7.788905+5 3.198895-4 7.792039+5 3.200000-4 7.792191+5 3.235937-4 7.803045+5 3.240000-4 7.803828+5 3.300000-4 7.826574+5 3.311311-4 7.831097+5 3.320000-4 7.834526+5 3.360000-4 7.855675+5 3.388442-4 7.870763+5 3.390000-4 7.871442+5 3.427678-4 7.891737+5 3.430000-4 7.892884+5 3.467369-4 7.915433+5 3.470000-4 7.916785+5 3.507519-4 7.939428+5 3.527600-4 7.950660+5 3.527600-4 9.435216+5 3.530500-4 9.420575+5 3.536000-4 9.374304+5 3.542000-4 9.334091+5 3.548134-4 9.300868+5 3.550000-4 9.292463+5 3.556000-4 9.266253+5 3.567000-4 9.230237+5 3.579000-4 9.201221+5 3.589219-4 9.182922+5 3.590000-4 9.181483+5 3.600000-4 9.167971+5 3.610000-4 9.155494+5 3.630781-4 9.138721+5 3.637000-4 9.133248+5 3.650000-4 9.125359+5 3.672823-4 9.113688+5 3.680000-4 9.110089+5 3.715352-4 9.096060+5 3.758374-4 9.077563+5 3.780000-4 9.067821+5 3.801894-4 9.059803+5 3.845918-4 9.039933+5 3.890451-4 9.019635+5 3.935501-4 8.997170+5 3.950000-4 8.990416+5 4.027170-4 8.962226+5 4.073803-4 8.948386+5 4.120975-4 8.929739+5 4.168694-4 8.914304+5 4.280000-4 8.866594+5 4.286300-4 8.864514+5 4.286300-4 9.294846+5 4.315191-4 9.282807+5 4.350000-4 9.262408+5 4.365158-4 9.253258+5 4.466836-4 9.195894+5 4.570882-4 9.125512+5 4.623810-4 9.092596+5 4.677351-4 9.052791+5 4.786301-4 8.971884+5 4.850000-4 8.918898+5 4.954502-4 8.836964+5 5.000000-4 8.798057+5 5.069907-4 8.737442+5 5.080000-4 8.728854+5 5.128614-4 8.688647+5 5.188000-4 8.640655+5 5.300000-4 8.542080+5 5.308844-4 8.534594+5 5.370318-4 8.480268+5 5.432503-4 8.420163+5 5.500000-4 8.356389+5 5.559043-4 8.302485+5 5.561300-4 8.300359+5 5.561300-4 9.330423+5 5.562000-4 9.314180+5 5.565000-4 9.265302+5 5.568000-4 9.223483+5 5.572000-4 9.176345+5 5.575000-4 9.145980+5 5.579000-4 9.111116+5 5.584500-4 9.070727+5 5.590000-4 9.037548+5 5.597000-4 9.002446+5 5.603000-4 8.977327+5 5.609000-4 8.955806+5 5.617000-4 8.931370+5 5.623413-4 8.915074+5 5.628000-4 8.903285+5 5.638000-4 8.881637+5 5.650000-4 8.859428+5 5.665000-4 8.835351+5 5.687000-4 8.805550+5 5.688529-4 8.803777+5 5.710000-4 8.778634+5 5.727800-4 8.760459+5 5.732000-4 8.756223+5 5.739300-4 8.749885+5 5.739300-4 9.410347+5 5.739600-4 9.399575+5 5.744000-4 9.367666+5 5.748500-4 9.340584+5 5.753000-4 9.317317+5 5.754399-4 9.311022+5 5.755000-4 9.308333+5 5.757000-4 9.299765+5 5.762000-4 9.281108+5 5.770000-4 9.256388+5 5.777000-4 9.238592+5 5.785000-4 9.223226+5 5.797000-4 9.204745+5 5.800000-4 9.201095+5 5.810000-4 9.191440+5 5.821032-4 9.183589+5 5.822000-4 9.182874+5 5.825000-4 9.181411+5 5.840000-4 9.177258+5 5.848000-4 9.177217+5 5.858000-4 9.178661+5 5.870000-4 9.183663+5 5.872000-4 9.184734+5 5.888437-4 9.198349+5 5.890000-4 9.199644+5 5.900000-4 9.211258+5 5.908000-4 9.221754+5 5.923000-4 9.247012+5 5.925000-4 9.251084+5 5.940000-4 9.284636+5 5.950800-4 9.313731+5 5.958000-4 9.334939+5 5.970000-4 9.376251+5 5.980000-4 9.414124+5 5.993000-4 9.470913+5 6.000000-4 9.504153+5 6.007000-4 9.541105+5 6.025596-4 9.648994+5 6.040000-4 9.746777+5 6.050000-4 9.820912+5 6.057000-4 9.877355+5 6.073000-4 1.001773+6 6.090000-4 1.018404+6 6.095369-4 1.024160+6 6.107000-4 1.037170+6 6.123000-4 1.056781+6 6.140000-4 1.079879+6 6.157000-4 1.105519+6 6.165950-4 1.120190+6 6.180000-4 1.143920+6 6.200000-4 1.181307+6 6.230000-4 1.243847+6 6.237348-4 1.260220+6 6.260000-4 1.314507+6 6.263700-4 1.324005+6 6.290000-4 1.393889+6 6.309573-4 1.449595+6 6.320000-4 1.481331+6 6.335000-4 1.527730+6 6.350000-4 1.576877+6 6.370000-4 1.644457+6 6.382635-4 1.689608+6 6.400000-4 1.752727+6 6.410000-4 1.790553+6 6.430000-4 1.867316+6 6.441400-4 1.912939+6 6.456542-4 1.973731+6 6.460000-4 1.988048+6 6.470000-4 2.029673+6 6.490000-4 2.113388+6 6.500000-4 2.156554+6 6.515000-4 2.220720+6 6.531306-4 2.292588+6 6.540000-4 2.330295+6 6.565000-4 2.441867+6 6.590000-4 2.552229+6 6.600000-4 2.597429+6 6.606934-4 2.627652+6 6.615000-4 2.663460+6 6.630000-4 2.730311+6 6.640000-4 2.773781+6 6.660000-4 2.861152+6 6.670000-4 2.904064+6 6.683439-4 2.961177+6 6.685000-4 2.967907+6 6.700000-4 3.030152+6 6.720000-4 3.112801+6 6.730000-4 3.152409+6 6.760830-4 3.273630+6 6.790000-4 3.380421+6 6.800000-4 3.416419+6 6.820000-4 3.484813+6 6.839116-4 3.548505+6 6.850000-4 3.582590+6 6.881100-4 3.676801+6 6.890000-4 3.702651+6 6.918310-4 3.779636+6 6.930000-4 3.809866+6 6.950000-4 3.857971+6 6.985000-4 3.937942+6 7.020000-4 4.006620+6 7.040000-4 4.043353+6 7.060000-4 4.076535+6 7.079458-4 4.106191+6 7.100000-4 4.137711+6 7.150000-4 4.198699+6 7.161434-4 4.211017+6 7.205000-4 4.250299+6 7.244360-4 4.280547+6 7.260000-4 4.289937+6 7.328245-4 4.321786+6 7.413102-4 4.338487+6 7.498942-4 4.335686+6 7.500000-4 4.335651+6 7.585776-4 4.317016+6 7.650000-4 4.298112+6 7.673615-4 4.289201+6 7.690000-4 4.282992+6 7.852356-4 4.212012+6 7.943282-4 4.161979+6 8.000000-4 4.131281+6 8.035261-4 4.112366+6 8.128305-4 4.054225+6 8.222426-4 3.996738+6 8.317638-4 3.936560+6 8.413951-4 3.873392+6 8.511380-4 3.811135+6 8.609938-4 3.746978+6 8.700000-4 3.689704+6 8.709636-4 3.683359+6 8.810489-4 3.618025+6 8.912509-4 3.553780+6 9.015711-4 3.488376+6 9.120108-4 3.424186+6 9.225714-4 3.358535+6 9.332543-4 3.294040+6 9.440609-4 3.228979+6 9.500000-4 3.194038+6 9.600700-4 3.136081+6 9.600700-4 3.195225+6 9.605000-4 3.198096+6 9.618000-4 3.205069+6 9.624000-4 3.209068+6 9.631000-4 3.214256+6 9.638000-4 3.219979+6 9.646000-4 3.227041+6 9.654000-4 3.234584+6 9.661000-4 3.241485+6 9.669000-4 3.249584+6 9.677000-4 3.257756+6 9.685000-4 3.265848+6 9.692000-4 3.272758+6 9.700000-4 3.280333+6 9.708000-4 3.287302+6 9.715000-4 3.292950+6 9.723000-4 3.298829+6 9.733000-4 3.305229+6 9.740000-4 3.309061+6 9.750000-4 3.313584+6 9.760000-4 3.317016+6 9.772372-4 3.319832+6 9.785000-4 3.321232+6 9.792700-4 3.321203+6 9.800000-4 3.321233+6 9.815000-4 3.319722+6 9.835000-4 3.315924+6 9.850000-4 3.312073+6 9.880000-4 3.302662+6 9.885531-4 3.300636+6 9.915000-4 3.289548+6 9.950000-4 3.275372+6 1.000000-3 3.254052+6 1.006000-3 3.226940+6 1.011579-3 3.200264+6 1.012000-3 3.198268+6 1.019000-3 3.163194+6 1.023293-3 3.140922+6 1.024000-3 3.137275+6 1.024000-3 3.275959+6 1.031000-3 3.244494+6 1.035142-3 3.225611+6 1.040700-3 3.200702+6 1.047129-3 3.171088+6 1.050000-3 3.158033+6 1.059254-3 3.115683+6 1.071519-3 3.061469+6 1.080000-3 3.023629+6 1.083927-3 3.006092+6 1.096478-3 2.951199+6 1.110000-3 2.892744+6 1.122018-3 2.842107+6 1.153000-3 2.716572+6 1.161449-3 2.683632+6 1.163700-3 2.674973+6 1.170000-3 2.650734+6 1.174898-3 2.631735+6 1.190000-3 2.574595+6 1.202264-3 2.528210+6 1.230269-3 2.427484+6 1.244515-3 2.376861+6 1.258925-3 2.327393+6 1.273503-3 2.276715+6 1.303167-3 2.178794+6 1.315900-3 2.138529+6 1.315900-3 2.272508+6 1.330000-3 2.227785+6 1.333521-3 2.216780+6 1.350000-3 2.165407+6 1.364583-3 2.120844+6 1.380384-3 2.074197+6 1.400000-3 2.018174+6 1.412538-3 1.983439+6 1.428894-3 1.939535+6 1.430000-3 1.936585+6 1.445440-3 1.896065+6 1.450000-3 1.884351+6 1.470000-3 1.833849+6 1.479108-3 1.811493+6 1.513561-3 1.730074+6 1.531087-3 1.690855+6 1.548817-3 1.652605+6 1.566751-3 1.615075+6 1.570000-3 1.608418+6 1.584893-3 1.578013+6 1.621810-3 1.505153+6 1.650000-3 1.453038+6 1.659587-3 1.435878+6 1.673600-3 1.411242+6 1.673600-3 1.427337+6 1.690000-3 1.399312+6 1.698244-3 1.385269+6 1.757924-3 1.288886+6 1.778279-3 1.258243+6 1.800000-3 1.226802+6 1.819701-3 1.199174+6 1.840772-3 1.170705+6 1.850000-3 1.158567+6 1.856300-3 1.150375+6 1.856300-3 1.169827+6 1.860000-3 1.165017+6 1.862087-3 1.162319+6 1.883649-3 1.134565+6 1.905461-3 1.107416+6 1.927525-3 1.080755+6 2.000000-3 9.998131+5 2.018366-3 9.807090+5 2.041738-3 9.569974+5 2.065380-3 9.336356+5 2.104000-3 8.973483+5 2.113489-3 8.887448+5 2.150000-3 8.565647+5 2.162719-3 8.457826+5 2.187762-3 8.250824+5 2.220000-3 7.995499+5 2.238721-3 7.851033+5 2.264644-3 7.657456+5 2.290868-3 7.467071+5 2.300000-3 7.402510+5 2.317395-3 7.281778+5 2.344229-3 7.100430+5 2.371374-3 6.924051+5 2.398833-3 6.752259+5 2.400000-3 6.745103+5 2.426610-3 6.584476+5 2.454709-3 6.420012+5 2.483133-3 6.256902+5 2.570396-3 5.793753+5 2.630268-3 5.505689+5 2.660725-3 5.367555+5 2.691535-3 5.232344+5 2.722701-3 5.099506+5 2.754229-3 4.969043+5 2.786121-3 4.841987+5 2.851018-3 4.598280+5 2.884032-3 4.481503+5 2.897850-3 4.433965+5 2.917427-3 4.367938+5 2.951209-3 4.255900+5 2.985383-3 4.146397+5 3.019952-3 4.039449+5 3.054921-3 3.935268+5 3.070000-3 3.891553+5 3.126079-3 3.734730+5 3.150000-3 3.670746+5 3.162278-3 3.638380+5 3.198895-3 3.544375+5 3.220000-3 3.491817+5 3.235937-3 3.452862+5 3.273407-3 3.363264+5 3.311311-3 3.275308+5 3.349654-3 3.189859+5 3.388442-3 3.106758+5 3.400000-3 3.082569+5 3.467369-3 2.946957+5 3.507519-3 2.870060+5 3.548134-3 2.794741+5 3.589219-3 2.721491+5 3.630781-3 2.650245+5 3.650000-3 2.618114+5 3.672823-3 2.580570+5 3.715352-3 2.512762+5 3.758374-3 2.446780+5 3.801894-3 2.382176+5 3.845918-3 2.319391+5 3.900000-3 2.245159+5 3.935501-3 2.198286+5 4.027170-3 2.083443+5 4.073803-3 2.028227+5 4.120975-3 1.974417+5 4.168694-3 1.921852+5 4.216965-3 1.870717+5 4.315191-3 1.771948+5 4.365158-3 1.724600+5 4.369600-3 1.720471+5 4.369600-3 3.937420+5 4.466836-3 3.722334+5 4.500000-3 3.652793+5 4.518559-3 3.614643+5 4.535000-3 3.581267+5 4.570882-3 3.514189+5 4.623810-3 3.418232+5 4.625500-3 3.415229+5 4.625500-3 4.726129+5 4.650000-3 4.675521+5 4.677351-3 4.619910+5 4.731513-3 4.512879+5 4.800000-3 4.371699+5 4.841724-3 4.288969+5 4.897788-3 4.178343+5 4.902800-3 4.168547+5 4.954502-3 4.064035+5 5.000000-3 3.968925+5 5.011872-3 3.944594+5 5.069907-3 3.828260+5 5.128614-3 3.715406+5 5.150000-3 3.675361+5 5.188000-3 3.605649+5 5.247200-3 3.500686+5 5.247200-3 4.101810+5 5.248075-3 4.099992+5 5.280000-3 4.033692+5 5.380000-3 3.844673+5 5.432503-3 3.752767+5 5.500000-3 3.639202+5 5.559043-3 3.543040+5 5.623413-3 3.442114+5 5.688529-3 3.344107+5 5.754399-3 3.248655+5 5.821032-3 3.155227+5 5.888437-3 3.064016+5 5.900000-3 3.048748+5 6.025596-3 2.888755+5 6.095369-3 2.805026+5 6.165950-3 2.723727+5 6.237348-3 2.644881+5 6.309573-3 2.568190+5 6.382635-3 2.493741+5 6.456542-3 2.421463+5 6.531306-3 2.351361+5 6.564600-3 2.320916+5 6.564600-3 2.464909+5 6.594000-3 2.435469+5 6.606934-3 2.423293+5 6.642000-3 2.390709+5 6.683439-3 2.354401+5 6.760830-3 2.287951+5 6.800000-3 2.255321+5 6.850000-3 2.214642+5 6.918310-3 2.160606+5 6.953100-3 2.133750+5 6.953100-3 2.221834+5 7.000000-3 2.185600+5 7.019000-3 2.171165+5 7.079458-3 2.126161+5 7.161434-3 2.067286+5 7.244360-3 2.010070+5 7.328245-3 1.953938+5 7.350000-3 1.939743+5 7.500000-3 1.845621+5 7.585776-3 1.794863+5 7.673615-3 1.744750+5 7.762471-3 1.696044+5 7.800000-3 1.676070+5 8.000000-3 1.574860+5 8.035261-3 1.557860+5 8.128305-3 1.514170+5 8.222426-3 1.471790+5 8.317638-3 1.430534+5 8.413951-3 1.390429+5 8.511380-3 1.351179+5 8.609938-3 1.313092+5 8.709636-3 1.276142+5 8.810489-3 1.240273+5 8.912509-3 1.205196+5 9.015711-3 1.171081+5 9.120108-3 1.137785+5 9.225714-3 1.105419+5 9.332543-3 1.074002+5 9.440609-3 1.043346+5 9.500000-3 1.027021+5 9.549926-3 1.013585+5 9.660509-3 9.846297+4 9.772372-3 9.565365+4 9.800000-3 9.497787+4 9.885531-3 9.292634+4 1.000000-2 9.028101+4 1.011579-2 8.771493+4 1.023293-2 8.521927+4 1.047129-2 8.044719+4 1.059254-2 7.816912+4 1.071519-2 7.595956+4 1.083927-2 7.381300+4 1.096478-2 7.172740+4 1.109175-2 6.968543+4 1.122018-2 6.769184+4 1.135011-2 6.575242+4 1.148154-2 6.387188+4 1.150000-2 6.361400+4 1.161449-2 6.203266+4 1.188502-2 5.850444+4 1.190000-2 5.831763+4 1.202264-2 5.681476+4 1.216186-2 5.517573+4 1.230269-2 5.358663+4 1.244515-2 5.204107+4 1.258925-2 5.053930+4 1.273503-2 4.908244+4 1.288250-2 4.766997+4 1.303167-2 4.630057+4 1.318257-2 4.497101+4 1.333521-2 4.368172+4 1.348963-2 4.243139+4 1.350000-2 4.234929+4 1.364583-2 4.121594+4 1.380384-2 4.003167+4 1.396368-2 3.888237+4 1.400000-2 3.862793+4 1.412538-2 3.775651+4 1.428894-2 3.666064+4 1.445440-2 3.559838+4 1.462177-2 3.456853+4 1.479108-2 3.356610+4 1.496236-2 3.259066+4 1.500000-2 3.238113+4 1.513561-2 3.164206+4 1.531087-2 3.072214+4 1.548817-2 2.983046+4 1.566751-2 2.896271+4 1.584893-2 2.812073+4 1.610000-2 2.701176+4 1.621810-2 2.651190+4 1.640590-2 2.574312+4 1.659587-2 2.499690+4 1.678804-2 2.427070+4 1.698244-2 2.356617+4 1.717908-2 2.288320+4 1.737801-2 2.221820+4 1.757924-2 2.157333+4 1.778279-2 2.094407+4 1.798871-2 2.033165+4 1.800000-2 2.029882+4 1.840772-2 1.916171+4 1.862087-2 1.860326+4 1.883649-2 1.805902+4 1.905461-2 1.753146+4 1.949845-2 1.651821+4 1.995262-2 1.556651+4 2.000000-2 1.547181+4 2.018366-2 1.511238+4 2.040900-2 1.468536+4 2.040900-2 3.404642+4 2.041738-2 3.400992+4 2.065380-2 3.300191+4 2.089296-2 3.202432+4 2.113489-2 3.107626+4 2.137962-2 3.015544+4 2.140000-2 3.008049+4 2.150000-2 2.970792+4 2.162719-2 2.924285+4 2.187762-2 2.835429+4 2.213095-2 2.749330+4 2.238721-2 2.665836+4 2.290868-2 2.506173+4 2.300000-2 2.479590+4 2.317395-2 2.429997+4 2.371374-2 2.284630+4 2.400000-2 2.211135+4 2.426610-2 2.145694+4 2.454709-2 2.079454+4 2.483133-2 2.015254+4 2.511886-2 1.952947+4 2.540973-2 1.892600+4 2.600160-2 1.777527+4 2.600700-2 1.776524+4 2.600700-2 2.547366+4 2.630268-2 2.478038+4 2.682400-2 2.355682+4 2.682400-2 2.715437+4 2.713000-2 2.638726+4 2.722701-2 2.615731+4 2.730000-2 2.598364+4 2.754229-2 2.541806+4 2.786121-2 2.469991+4 2.818383-2 2.400261+4 2.851018-2 2.332542+4 2.860000-2 2.314496+4 2.884032-2 2.266707+4 2.917427-2 2.202610+4 2.951209-2 2.140346+4 2.985383-2 2.079863+4 3.019952-2 2.020426+4 3.054921-2 1.962650+4 3.070000-2 1.938467+4 3.126079-2 1.851427+4 3.150000-2 1.815987+4 3.162278-2 1.798153+4 3.198895-2 1.746402+4 3.235937-2 1.696024+4 3.273407-2 1.647136+4 3.311311-2 1.599684+4 3.349654-2 1.553446+4 3.388442-2 1.508571+4 3.427678-2 1.465132+4 3.467369-2 1.422919+4 3.507519-2 1.381959+4 3.548134-2 1.342175+4 3.589219-2 1.303538+4 3.630781-2 1.266038+4 3.672823-2 1.229402+4 3.715352-2 1.193845+4 3.758374-2 1.159346+4 3.801894-2 1.125874+4 3.845918-2 1.093173+4 3.890451-2 1.061430+4 3.900000-2 1.054786+4 3.935501-2 1.030457+4 3.981072-2 1.000375+4 4.000000-2 9.882456+3 4.027170-2 9.710855+3 4.168694-2 8.880664+3 4.216965-2 8.620467+3 4.265795-2 8.366457+3 4.300000-2 8.194720+3 4.315191-2 8.120025+3 4.365158-2 7.880987+3 4.415704-2 7.649146+3 4.466836-2 7.424234+3 4.623810-2 6.788706+3 4.677351-2 6.589447+3 4.800000-2 6.162601+3 4.897788-2 5.848000+3 4.900000-2 5.841148+3 4.954502-2 5.674730+3 5.011872-2 5.506633+3 5.128614-2 5.185312+3 5.188000-2 5.031755+3 5.248075-2 4.882807+3 5.432503-2 4.459653+3 5.559043-2 4.198306+3 5.623413-2 4.073562+3 5.688529-2 3.952609+3 5.754399-2 3.835315+3 5.821032-2 3.721574+3 5.888437-2 3.611256+3 5.956621-2 3.504269+3 6.025596-2 3.400335+3 6.095369-2 3.298865+3 6.165950-2 3.199962+3 6.237348-2 3.104091+3 6.309573-2 3.011152+3 6.382635-2 2.921050+3 6.760830-2 2.509859+3 6.839116-2 2.434541+3 6.918310-2 2.361523+3 7.000000-2 2.289359+3 7.161434-2 2.155331+3 7.328245-2 2.028060+3 7.413102-2 1.967312+3 7.498942-2 1.908258+3 7.585776-2 1.851007+3 7.673615-2 1.795460+3 8.035261-2 1.589068+3 8.128305-2 1.541366+3 8.222426-2 1.495125+3 8.317638-2 1.450004+3 8.413951-2 1.406228+3 8.709636-2 1.282723+3 8.810489-2 1.244049+3 8.912509-2 1.206553+3 9.015711-2 1.170207+3 9.120108-2 1.134976+3 9.225714-2 1.100821+3 9.549926-2 1.004434+3 9.660509-2 9.742511+2 9.772372-2 9.449323+2 1.000000-1 8.888924+2 1.023293-1 8.358884+2 1.035142-1 8.105983+2 1.047129-1 7.860705+2 1.059254-1 7.622963+2 1.071519-1 7.392429+2 1.083927-1 7.168965+2 1.122019-1 6.538909+2 1.150000-1 6.124220+2 1.161449-1 5.964988+2 1.188502-1 5.610954+2 1.216186-1 5.278257+2 1.230269-1 5.118742+2 1.258925-1 4.813994+2 1.273503-1 4.668609+2 1.288250-1 4.527678+2 1.298900-1 4.429555+2 1.303167-1 4.391071+2 1.318257-1 4.258643+2 1.348963-1 4.005818+2 1.364583-1 3.885177+2 1.380384-1 3.768198+2 1.391100-1 3.691636+2 1.391100-1 1.447743+3 1.396368-1 1.434518+3 1.408500-1 1.404706+3 1.413000-1 1.392271+3 1.423000-1 1.370290+3 1.435000-1 1.338959+3 1.445440-1 1.316389+3 1.462177-1 1.281331+3 1.479108-1 1.243576+3 1.496236-1 1.206935+3 1.500000-1 1.199077+3 1.513561-1 1.172888+3 1.584893-1 1.047622+3 1.603245-1 1.017551+3 1.621810-1 9.883427+2 1.659587-1 9.324286+2 1.678804-1 9.056745+2 1.737801-1 8.299841+2 1.757924-1 8.061924+2 1.778279-1 7.830866+2 1.798871-1 7.607991+2 1.819701-1 7.391489+2 1.840772-1 7.181176+2 1.862087-1 6.976871+2 1.883649-1 6.778532+2 1.927525-1 6.398677+2 1.949845-1 6.216840+2 2.018366-1 5.701874+2 2.041738-1 5.539926+2 2.113489-1 5.081284+2 2.162719-1 4.797045+2 2.187762-1 4.660969+2 2.213095-1 4.528770+2 2.238721-1 4.400335+2 2.290868-1 4.154317+2 2.317395-1 4.036552+2 2.344229-1 3.922140+2 2.371374-1 3.811077+2 2.426610-1 3.598442+2 2.454709-1 3.496628+2 2.483133-1 3.397717+2 2.511886-1 3.301611+2 2.570396-1 3.117503+2 2.630268-1 2.943691+2 2.691535-1 2.779637+2 2.722701-1 2.702442+2 2.754229-1 2.627479+2 2.818383-1 2.483943+2 2.851018-1 2.415167+2 2.869080-1 2.378254+2 2.884032-1 2.348298+2 2.900000-1 2.316896+2 2.951209-1 2.220160+2 2.985383-1 2.158752+2 3.000000-1 2.133220+2 3.090295-1 1.984572+2 3.126079-1 1.929702+2 3.198895-1 1.824482+2 3.235937-1 1.774662+2 3.273407-1 1.726224+2 3.311311-1 1.679160+2 3.349654-1 1.633385+2 3.388442-1 1.588906+2 3.402400-1 1.573322+2 3.427678-1 1.545647+2 3.467369-1 1.503638+2 3.507519-1 1.462776+2 3.548134-1 1.423027+2 3.589219-1 1.384363+2 3.630781-1 1.346750+2 3.672823-1 1.310163+2 3.715352-1 1.274572+2 3.801894-1 1.207287+2 3.845918-1 1.175049+2 3.890451-1 1.143679+2 3.935501-1 1.113158+2 3.981072-1 1.083465+2 4.000000-1 1.071464+2 4.027170-1 1.054568+2 4.120975-1 9.990786+1 4.216965-1 9.466053+1 4.265795-1 9.214138+1 4.315191-1 8.973030+1 4.318900-1 8.955293+1 4.365158-1 8.738253+1 4.415705-1 8.509931+1 4.466836-1 8.287596+1 4.518559-1 8.071141+1 4.570882-1 7.860372+1 4.623810-1 7.655123+1 4.677351-1 7.455245+1 4.731513-1 7.260678+1 4.786301-1 7.071206+1 4.841724-1 6.886835+1 4.897788-1 6.707283+1 4.954502-1 6.535779+1 5.069907-1 6.206250+1 5.128614-1 6.047787+1 5.248075-1 5.743039+1 5.308844-1 5.596485+1 5.370318-1 5.453678+1 5.495409-1 5.179232+1 5.559043-1 5.047261+1 5.623413-1 4.918659+1 5.688529-1 4.795839+1 5.732700-1 4.715054+1 5.754399-1 4.676187+1 5.821032-1 4.559714+1 5.888437-1 4.446195+1 5.956621-1 4.335510+1 6.025596-1 4.227647+1 6.095369-1 4.122473+1 6.165950-1 4.019938+1 6.237348-1 3.919958+1 6.309573-1 3.822516+1 6.382635-1 3.727642+1 6.456542-1 3.636899+1 6.531306-1 3.548368+1 6.606935-1 3.462026+1 6.683439-1 3.377841+1 6.760830-1 3.295887+1 6.839117-1 3.215938+1 6.918310-1 3.137932+1 6.998420-1 3.061823+1 7.079458-1 2.987660+1 7.161434-1 2.915297+1 7.244360-1 2.844688+1 7.328245-1 2.775827+1 7.413102-1 2.709943+1 7.498942-1 2.645629+1 7.585776-1 2.582860+1 7.673615-1 2.521585+1 7.762471-1 2.461767+1 7.852356-1 2.403500+1 7.943282-1 2.346687+1 8.035261-1 2.291261+1 8.128305-1 2.237144+1 8.222427-1 2.184307+1 8.317638-1 2.132719+1 8.511380-1 2.033189+1 8.609938-1 1.986178+1 8.709636-1 1.940297+1 8.810489-1 1.895490+1 8.912509-1 1.851726+1 9.015711-1 1.809018+1 9.120108-1 1.767408+1 9.225714-1 1.726761+1 9.332543-1 1.687085+1 9.440609-1 1.648349+1 9.549926-1 1.610503+1 9.660509-1 1.573531+1 9.772372-1 1.538193+1 9.885531-1 1.503750+1 1.000000+0 1.470093+1 1.011579+0 1.437194+1 1.023293+0 1.405049+1 1.035142+0 1.373625+1 1.047129+0 1.342959+1 1.059254+0 1.313003+1 1.071519+0 1.283769+1 1.083927+0 1.255185+1 1.109175+0 1.199916+1 1.122018+0 1.173203+1 1.135011+0 1.147084+1 1.148154+0 1.121566+1 1.161449+0 1.096630+1 1.174898+0 1.072285+1 1.188502+0 1.048484+1 1.202264+0 1.025223+1 1.216186+0 1.002967+1 1.230269+0 9.812002+0 1.244515+0 9.599680+0 1.250000+0 9.519858+0 1.258925+0 9.392150+0 1.273503+0 9.189132+0 1.288250+0 8.990576+0 1.303167+0 8.796605+0 1.318257+0 8.606822+0 1.333521+0 8.421144+0 1.364583+0 8.061935+0 1.380384+0 7.892127+0 1.396368+0 7.726019+0 1.412538+0 7.563884+0 1.428894+0 7.405163+0 1.445440+0 7.249781+0 1.479108+0 6.949171+0 1.500000+0 6.772202+0 1.513561+0 6.661027+0 1.531087+0 6.521578+0 1.548817+0 6.388582+0 1.566751+0 6.258343+0 1.640590+0 5.764987+0 1.659587+0 5.647861+0 1.678804+0 5.533114+0 1.698244+0 5.420734+0 1.717908+0 5.310793+0 1.737801+0 5.203154+0 1.757924+0 5.100441+0 1.778279+0 4.999808+0 1.819701+0 4.805082+0 1.840772+0 4.710583+0 1.862087+0 4.617945+0 1.905461+0 4.438112+0 1.927525+0 4.350873+0 1.949845+0 4.265478+0 1.972423+0 4.181823+0 1.995262+0 4.101923+0 2.000000+0 4.085654+0 2.018366+0 4.023579+0 2.044000+0 3.939693+0 2.065380+0 3.871847+0 2.113489+0 3.725838+0 2.137962+0 3.654919+0 2.187762+0 3.517103+0 2.213095+0 3.450180+0 2.238721+0 3.384621+0 2.264644+0 3.320352+0 2.290868+0 3.258866+0 2.317395+0 3.198548+0 2.344229+0 3.139532+0 2.371374+0 3.081606+0 2.426610+0 2.968941+0 2.454709+0 2.914168+0 2.511886+0 2.807635+0 2.540973+0 2.755854+0 2.570396+0 2.705101+0 2.600160+0 2.655319+0 2.630268+0 2.607714+0 2.660725+0 2.560985+0 2.691535+0 2.515237+0 2.722701+0 2.470308+0 2.786121+0 2.382842+0 2.818383+0 2.340282+0 2.884032+0 2.257428+0 2.917427+0 2.217122+0 2.951209+0 2.177537+0 2.985383+0 2.138714+0 3.019952+0 2.100613+0 3.054921+0 2.064240+0 3.090295+0 2.028632+0 3.126079+0 1.993638+0 3.162278+0 1.959247+0 3.235937+0 1.892236+0 3.273407+0 1.859599+0 3.349654+0 1.796004+0 3.388442+0 1.765037+0 3.427678+0 1.734605+0 3.467369+0 1.704741+0 3.507519+0 1.675413+0 3.548134+0 1.647345+0 3.589219+0 1.619853+0 3.630781+0 1.592818+0 3.672823+0 1.566236+0 3.758374+0 1.514395+0 3.801894+0 1.489124+0 3.890451+0 1.439840+0 3.935501+0 1.415821+0 4.000000+0 1.382590+0 4.027170+0 1.369002+0 4.073803+0 1.346216+0 4.120975+0 1.324403+0 4.168694+0 1.303025+0 4.216965+0 1.281992+0 4.265795+0 1.261299+0 4.365158+0 1.220909+0 4.415704+0 1.201204+0 4.570882+0 1.143976+0 4.623810+0 1.125519+0 4.677351+0 1.107360+0 4.731513+0 1.089518+0 4.786301+0 1.071976+0 4.841724+0 1.055150+0 4.897788+0 1.038648+0 4.954502+0 1.022403+0 5.011872+0 1.006413+0 5.188000+0 9.599285-1 5.248075+0 9.449169-1 5.432503+0 9.012768-1 5.495409+0 8.871873-1 5.559043+0 8.733186-1 5.623413+0 8.596856-1 5.688529+0 8.462754-1 5.754399+0 8.334249-1 5.821032+0 8.208182-1 5.888437+0 8.084022-1 5.956621+0 7.961744-1 6.165950+0 7.605892-1 6.237348+0 7.490858-1 6.382635+0 7.265980-1 6.456542+0 7.156124-1 6.531306+0 7.047930-1 6.683439+0 6.836706-1 6.760830+0 6.733552-1 6.839116+0 6.634462-1 6.918310+0 6.537174-1 7.000000+0 6.439448-1 7.161434+0 6.253791-1 7.413102+0 5.982695-1 7.498942+0 5.894975-1 7.673615+0 5.723375-1 7.762471+0 5.639486-1 7.852356+0 5.556830-1 8.035261+0 5.395355-1 8.128305+0 5.316443-1 8.222427+0 5.240685-1 8.317638+0 5.166283-1 8.413951+0 5.092938-1 8.609938+0 4.949357-1 8.912509+0 4.741541-1 9.015711+0 4.674232-1 9.332543+0 4.477985-1 9.440609+0 4.414438-1 9.549926+0 4.351795-1 9.885531+0 4.169374-1 1.000000+1 4.110324-1 1.011579+1 4.053528-1 1.023293+1 3.997714-1 1.035142+1 3.942672-1 1.059254+1 3.834848-1 1.096478+1 3.678621-1 1.100000+1 3.664442-1 1.135011+1 3.528768-1 1.148154+1 3.480202-1 1.161449+1 3.432305-1 1.216186+1 3.247434-1 1.230269+1 3.202819-1 1.244515+1 3.159759-1 1.258925+1 3.117281-1 1.273503+1 3.075505-1 1.303167+1 2.993624-1 1.333521+1 2.913927-1 1.348963+1 2.874876-1 1.380384+1 2.798340-1 1.396368+1 2.760839-1 1.400000+1 2.752448-1 1.428894+1 2.687343-1 1.445440+1 2.651345-1 1.513561+1 2.512285-1 1.531087+1 2.478698-1 1.548817+1 2.446335-1 1.566751+1 2.414397-1 1.600000+1 2.357401-1 1.621810+1 2.321369-1 1.640590+1 2.291162-1 1.659587+1 2.261350-1 1.698244+1 2.202883-1 1.717908+1 2.174220-1 1.757924+1 2.118006-1 1.800000+1 2.061778-1 1.840772+1 2.009924-1 1.949845+1 1.882691-1 1.995262+1 1.834110-1 2.000000+1 1.829179-1 2.018366+1 1.810672-1 2.041738+1 1.787629-1 2.065380+1 1.764883-1 2.113489+1 1.720381-1 2.137962+1 1.698553-1 2.187762+1 1.655724-1 2.200000+1 1.645511-1 2.238721+1 1.613975-1 2.264644+1 1.593497-1 2.290868+1 1.573279-1 2.344229+1 1.533612-1 2.371374+1 1.514161-1 2.540973+1 1.402639-1 2.630268+1 1.350029-1 2.660725+1 1.333284-1 2.691535+1 1.316747-1 2.722701+1 1.300417-1 2.754229+1 1.284332-1 2.800000+1 1.261649-1 2.851018+1 1.237259-1 2.884032+1 1.221955-1 2.917427+1 1.206840-1 2.951209+1 1.191913-1 3.090295+1 1.134028-1 3.126079+1 1.120005-1 3.630781+1 9.528577-2 3.801894+1 9.066520-2 3.845918+1 8.956411-2 3.890451+1 8.847641-2 3.935501+1 8.740429-2 3.981072+1 8.634537-2 4.027170+1 8.529928-2 4.073803+1 8.426585-2 4.120975+1 8.324496-2 4.168694+1 8.223643-2 4.216965+1 8.124019-2 4.365158+1 7.832330-2 4.415704+1 7.737468-2 5.128614+1 6.604858-2 5.188000+1 6.524969-2 5.432503+1 6.214958-2 5.495409+1 6.140829-2 5.559043+1 6.067607-2 5.623413+1 5.995260-2 5.688529+1 5.923907-2 5.754399+1 5.853414-2 5.821032+1 5.783759-2 5.888437+1 5.714933-2 5.956621+1 5.646928-2 6.025596+1 5.579731-2 6.095369+1 5.513334-2 6.165950+1 5.447727-2 6.531306+1 5.131234-2 6.606934+1 5.070189-2 8.128305+1 4.088187-2 8.222427+1 4.039601-2 8.609938+1 3.850965-2 8.709636+1 3.805741-2 8.810489+1 3.761059-2 8.912509+1 3.716902-2 9.015711+1 3.673267-2 9.120108+1 3.630213-2 9.225714+1 3.587665-2 9.332543+1 3.545616-2 9.440609+1 3.504060-2 9.549926+1 3.462991-2 9.660509+1 3.422403-2 9.772372+1 3.382292-2 9.885531+1 3.342650-2 1.000000+2 3.303473-2 1.059254+2 3.114376-2 1.071519+2 3.077883-2 1.083927+2 3.041836-2 1.428894+2 2.292704-2 1.462177+2 2.239331-2 1.548817+2 2.111270-2 1.566751+2 2.086763-2 1.584893+2 2.062539-2 1.621810+2 2.014941-2 1.659587+2 1.968441-2 1.678804+2 1.945597-2 1.698244+2 1.923018-2 1.717908+2 1.900727-2 1.737801+2 1.878694-2 1.778279+2 1.835394-2 1.798871+2 1.814119-2 1.840772+2 1.772306-2 1.883649+2 1.731457-2 1.905461+2 1.711387-2 1.927525+2 1.691550-2 1.972423+2 1.652562-2 2.113489+2 1.540913-2 2.137962+2 1.523061-2 2.660725+2 1.220576-2 2.722701+2 1.192463-2 2.951209+2 1.099070-2 3.126079+2 1.037128-2 3.162278+2 1.025165-2 3.235937+2 1.001653-2 3.311311+2 9.786811-3 3.349654+2 9.673937-3 3.388442+2 9.562363-3 3.427678+2 9.452136-3 3.467369+2 9.343180-3 3.548134+2 9.129023-3 3.589219+2 9.023793-3 3.672823+2 8.816956-3 3.758374+2 8.614861-3 3.801894+2 8.515557-3 3.845918+2 8.417397-3 3.935501+2 8.224460-3 4.216965+2 7.671790-3 4.265795+2 7.583385-3 5.308844+2 6.084491-3 5.432503+2 5.945084-3 5.888437+2 5.481838-3 6.237348+2 5.174246-3 6.309573+2 5.114830-3 6.456542+2 4.998047-3 6.606934+2 4.883931-3 6.683439+2 4.827855-3 6.760830+2 4.772423-3 6.839116+2 4.717652-3 6.918310+2 4.663509-3 1.412538+3 2.279857-3 1.428894+3 2.253693-3 1.462177+3 2.202262-3 1.496236+3 2.152003-3 1.513561+3 2.127306-3 1.531087+3 2.102892-3 1.566751+3 2.054901-3 1.678804+3 1.917403-3 1.698244+3 1.895402-3 2.113489+3 1.522203-3 2.162719+3 1.487473-3 2.344229+3 1.372041-3 4.954502+3 6.489660-4 5.011872+3 6.415341-4 5.128614+3 6.269249-4 5.248075+3 6.126485-4 5.308844+3 6.056328-4 5.370318+3 5.986973-4 5.432503+3 5.918425-4 5.495409+3 5.850661-4 4.623810+4 6.950008-5 8.912509+4 3.605102-5 9.015711+4 3.563825-5 9.225714+4 3.482684-5 1.000000+5 3.212963-5 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.780000-6 5.780000-6 9.610000-6 5.780000-6 9.610000-6 7.875541-6 9.690000-6 7.866257-6 1.050000-5 7.898087-6 1.154000-5 7.984355-6 1.154000-5 9.156039-6 1.245000-5 9.201689-6 1.480000-5 9.415980-6 1.800000-5 9.731332-6 2.070000-5 9.931743-6 2.371374-5 1.007796-5 2.544000-5 1.013434-5 2.544000-5 2.347801-5 2.851018-5 2.144873-5 3.162278-5 1.928804-5 3.349654-5 1.805298-5 3.507519-5 1.709857-5 3.630781-5 1.641009-5 3.801894-5 1.556097-5 3.900000-5 1.512640-5 4.002000-5 1.471347-5 4.002000-5 2.527496-5 4.080000-5 2.430411-5 4.130000-5 2.374995-5 4.220000-5 2.285027-5 4.315191-5 2.201140-5 4.420000-5 2.118032-5 4.518559-5 2.048354-5 4.677351-5 1.949284-5 4.800000-5 1.880805-5 5.011872-5 1.777963-5 5.188000-5 1.704162-5 5.370318-5 1.636467-5 5.559043-5 1.574650-5 5.800000-5 1.506882-5 6.025596-5 1.452686-5 6.285000-5 1.399991-5 6.285000-5 1.500553-5 6.606934-5 1.436315-5 6.839116-5 1.395776-5 7.161434-5 1.348794-5 7.500000-5 1.309540-5 7.800000-5 1.281624-5 8.222426-5 1.251136-5 8.609938-5 1.230421-5 9.150000-5 1.209450-5 9.800000-5 1.193259-5 1.040000-4 1.184443-5 1.128000-4 1.179582-5 1.220000-4 1.182946-5 1.315000-4 1.194670-5 1.344800-4 1.200117-5 1.344800-4 2.320730-5 1.360000-4 2.596180-5 1.380384-4 2.996857-5 1.402000-4 3.441480-5 1.418000-4 3.757172-5 1.427000-4 3.927045-5 1.435000-4 4.070013-5 1.443000-4 4.204476-5 1.452000-4 4.345512-5 1.462177-4 4.493743-5 1.470000-4 4.597105-5 1.481700-4 4.733854-5 1.481700-4 5.428624-5 1.545000-4 6.483311-5 1.572000-4 6.895481-5 1.595000-4 7.201607-5 1.623000-4 7.513002-5 1.656400-4 7.799791-5 1.698244-4 8.073441-5 1.760000-4 8.402313-5 1.960100-4 9.366721-5 2.100000-4 9.994880-5 2.170000-4 1.027746-4 2.250000-4 1.054523-4 2.317395-4 1.070641-4 2.380000-4 1.078602-4 2.435000-4 1.079141-4 2.500000-4 1.072074-4 2.560000-4 1.058044-4 2.603600-4 1.043890-4 2.603600-4 1.190839-4 2.691535-4 1.168446-4 2.818383-4 1.125217-4 3.126079-4 1.008391-4 3.240000-4 9.703543-5 3.360000-4 9.353883-5 3.470000-4 9.074429-5 3.527600-4 8.945079-5 3.527600-4 1.071642-4 3.550000-4 1.051297-4 3.579000-4 1.034561-4 3.630781-4 1.015246-4 3.758374-4 9.808566-5 3.890451-4 9.507878-5 4.073803-4 9.168312-5 4.168694-4 9.020356-5 4.286300-4 8.865286-5 4.286300-4 9.478719-5 4.466836-4 9.280522-5 4.677351-4 9.112069-5 4.850000-4 9.007077-5 5.188000-4 8.865136-5 5.561300-4 8.784975-5 5.561300-4 9.850764-5 5.568000-4 9.757089-5 5.579000-4 9.659796-5 5.597000-4 9.569949-5 5.628000-4 9.499532-5 5.688529-4 9.459853-5 5.739300-4 9.456100-5 5.739300-4 1.012923-4 5.748500-4 1.007183-4 5.770000-4 1.001164-4 5.810000-4 9.986891-5 5.870000-4 1.003791-4 5.925000-4 1.015568-4 5.970000-4 1.031302-4 6.007000-4 1.049142-4 6.050000-4 1.076194-4 6.095369-4 1.112335-4 6.140000-4 1.154734-4 6.200000-4 1.220124-4 6.320000-4 1.357890-4 6.382635-4 1.423765-4 6.441400-4 1.478338-4 6.515000-4 1.535622-4 6.590000-4 1.581938-4 6.670000-4 1.619767-4 6.760830-4 1.651290-4 6.881100-4 1.679357-4 7.040000-4 1.701508-4 7.260000-4 1.717236-4 7.650000-4 1.727333-4 8.709636-4 1.730595-4 9.600700-4 1.728896-4 9.600700-4 1.755552-4 9.661000-4 1.790661-4 9.723000-4 1.829641-4 9.772372-4 1.850064-4 9.850000-4 1.865511-4 1.006000-3 1.881536-4 1.024000-3 1.887105-4 1.024000-3 1.949085-4 1.096478-3 1.984080-4 1.230269-3 2.036643-4 1.315900-3 2.060262-4 1.315900-3 2.184079-4 1.621810-3 2.276186-4 1.673600-3 2.290385-4 1.673600-3 2.319077-4 1.856300-3 2.371168-4 1.856300-3 2.417819-4 2.264644-3 2.530205-4 2.754229-3 2.640713-4 3.273407-3 2.737397-4 3.935501-3 2.838583-4 4.369600-3 2.894762-4 4.369600-3 4.090524-4 4.625500-3 4.096029-4 4.625500-3 4.352896-4 5.011872-3 4.372376-4 5.247200-3 4.373754-4 5.247200-3 4.695440-4 6.564600-3 4.750840-4 6.564600-3 4.923327-4 6.953100-3 4.948219-4 6.953100-3 5.091752-4 9.120108-3 5.275672-4 1.188502-2 5.460489-4 1.513561-2 5.627792-4 1.905461-2 5.782599-4 2.040900-2 5.826841-4 2.040900-2 6.828012-4 2.600700-2 6.877481-4 2.600700-2 7.227902-4 2.682400-2 7.236589-4 2.682400-2 7.726837-4 3.715352-2 7.912600-4 5.011872-2 8.076958-4 6.918310-2 8.246992-4 9.225714-2 8.388479-4 1.288250-1 8.540113-4 1.391100-1 8.572150-4 1.391100-1 7.898626-4 3.311311-1 7.947229-4 9.660509-1 7.972815-4 1.000000+5 7.973014-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.780000-6 0.0 2.603600-4 0.0 2.603600-4 1.594499-9 2.660725-4 1.604381-9 2.722701-4 1.603107-9 2.800000-4 1.588228-9 2.900000-4 1.553911-9 2.985383-4 1.513785-9 3.090295-4 1.454844-9 3.200000-4 1.390216-9 3.430000-4 1.263591-9 3.527600-4 1.213185-9 3.527600-4 5.493017-9 3.530500-4 5.451352-9 3.536000-4 5.326398-9 3.542000-4 5.214062-9 3.550000-4 5.093329-9 3.556000-4 5.015259-9 3.567000-4 4.901324-9 3.579000-4 4.801888-9 3.590000-4 4.727629-9 3.610000-4 4.619670-9 3.637000-4 4.504272-9 3.680000-4 4.355034-9 3.758374-4 4.112611-9 3.845918-4 3.860609-9 3.935501-4 3.623277-9 4.027170-4 3.411366-9 4.120975-4 3.214770-9 4.168694-4 3.121196-9 4.286300-4 2.913176-9 4.286300-4 3.433741-9 4.365158-4 3.316677-9 4.466836-4 3.177810-9 4.570882-4 3.050880-9 4.677351-4 2.935178-9 4.786301-4 2.828016-9 4.850000-4 2.771012-9 5.000000-4 2.650308-9 5.128614-4 2.560054-9 5.308844-4 2.450761-9 5.500000-4 2.357825-9 5.561300-4 2.331952-9 5.561300-4 1.612823-8 5.562000-4 1.594294-8 5.565000-4 1.539246-8 5.568000-4 1.492218-8 5.572000-4 1.439457-8 5.575000-4 1.405705-8 5.579000-4 1.367361-8 5.584500-4 1.323647-8 5.590000-4 1.288663-8 5.597000-4 1.252837-8 5.603000-4 1.228259-8 5.609000-4 1.208156-8 5.617000-4 1.186685-8 5.628000-4 1.164443-8 5.638000-4 1.149568-8 5.650000-4 1.136493-8 5.665000-4 1.125490-8 5.688529-4 1.116070-8 5.710000-4 1.112558-8 5.739300-4 1.114659-8 5.739300-4 1.399913-8 5.739600-4 1.395754-8 5.748500-4 1.376969-8 5.757000-4 1.365427-8 5.770000-4 1.356732-8 5.777000-4 1.354313-8 5.800000-4 1.358748-8 5.825000-4 1.378079-8 5.840000-4 1.396006-8 5.858000-4 1.424195-8 5.872000-4 1.451319-8 5.890000-4 1.493590-8 5.908000-4 1.544674-8 5.925000-4 1.602026-8 5.940000-4 1.660041-8 5.958000-4 1.740066-8 5.980000-4 1.854431-8 6.000000-4 1.974793-8 6.025596-4 2.153125-8 6.050000-4 2.349331-8 6.073000-4 2.558182-8 6.095369-4 2.778387-8 6.107000-4 2.900293-8 6.123000-4 3.075108-8 6.140000-4 3.269410-8 6.180000-4 3.753539-8 6.263700-4 4.802674-8 6.290000-4 5.119937-8 6.320000-4 5.465639-8 6.350000-4 5.790071-8 6.382635-4 6.115624-8 6.410000-4 6.365709-8 6.441400-4 6.625897-8 6.470000-4 6.838430-8 6.500000-4 7.037018-8 6.540000-4 7.262513-8 6.565000-4 7.386310-8 6.615000-4 7.586341-8 6.670000-4 7.752801-8 6.730000-4 7.880343-8 6.800000-4 7.981941-8 6.890000-4 8.060075-8 7.040000-4 8.127550-8 7.260000-4 8.161161-8 8.000000-4 8.155677-8 9.600700-4 8.056402-8 9.600700-4 8.099542-8 9.750000-4 8.230590-8 9.885531-4 8.264455-8 1.024000-3 8.272587-8 1.024000-3 1.047298-7 1.040700-3 1.068670-7 1.071519-3 1.101202-7 1.174898-3 1.188177-7 1.202264-3 1.208895-7 1.230269-3 1.228686-7 1.273503-3 1.248491-7 1.315900-3 1.265842-7 1.315900-3 1.710930-7 1.531087-3 1.846193-7 1.673600-3 1.930273-7 1.673600-3 2.014608-7 1.856300-3 2.131165-7 1.856300-3 2.322033-7 2.113489-3 2.503222-7 2.400000-3 2.689622-7 2.786121-3 2.913622-7 3.162278-3 3.112925-7 3.589219-3 3.313390-7 4.073803-3 3.519780-7 4.369600-3 3.636109-7 4.369600-3 4.032432-7 4.625500-3 4.071046-7 4.625500-3 7.478544-5 4.731513-3 7.640772-5 4.841724-3 7.783849-5 4.902800-3 7.846525-5 4.954502-3 7.875707-5 5.247200-3 7.851598-5 5.247200-3 7.968751-5 5.688529-3 7.950475-5 6.564600-3 7.884923-5 6.564600-3 8.835201-5 6.642000-3 8.822399-5 6.953100-3 8.865213-5 6.953100-3 9.047768-5 8.709636-3 9.312021-5 1.023293-2 9.495582-5 1.190000-2 9.675264-5 1.500000-2 9.945758-5 1.883649-2 1.019814-4 2.040900-2 1.028324-4 2.040900-2 4.994085-3 2.238721-2 4.972837-3 2.600700-2 4.909387-3 2.600700-2 7.645108-3 2.682400-2 7.672593-3 2.682400-2 8.044002-3 3.198895-2 8.143971-3 4.027170-2 8.246571-3 5.248075-2 8.324519-3 7.413102-2 8.391222-3 1.216186-1 8.443697-3 1.391100-1 8.451700-3 1.391100-1 9.624956-2 1.678804-1 9.711773-2 2.371374-1 9.822884-2 3.981072-1 9.951854-2 6.606935-1 1.005969-1 1.035142+0 1.012739-1 1.000000+5 1.012120-1 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.780000-6 0.0 9.610000-6 3.830000-6 9.610000-6 1.734459-6 9.630000-6 1.764571-6 9.660509-6 1.798224-6 9.690000-6 1.823743-6 1.023293-5 2.348829-6 1.085000-5 2.928430-6 1.154000-5 3.555645-6 1.154000-5 2.383961-6 1.161449-5 2.461527-6 1.245000-5 3.248311-6 1.364583-5 4.343561-6 1.800000-5 8.268668-6 2.070000-5 1.076826-5 2.371374-5 1.363578-5 2.544000-5 1.530566-5 2.544000-5 1.961991-6 2.551000-5 2.087702-6 2.610000-5 3.047378-6 2.700000-5 4.531894-6 2.851018-5 7.061448-6 3.162278-5 1.233474-5 3.349654-5 1.544356-5 3.507519-5 1.797662-5 3.630781-5 1.989772-5 3.801894-5 2.245797-5 4.002000-5 2.530653-5 4.002000-5 1.474504-5 4.027170-5 1.533087-5 4.080000-5 1.649589-5 4.130000-5 1.755005-5 4.220000-5 1.934973-5 4.315191-5 2.114051-5 4.420000-5 2.301968-5 4.518559-5 2.470205-5 4.677351-5 2.728067-5 4.800000-5 2.919195-5 5.011872-5 3.233909-5 5.248075-5 3.567143-5 5.559043-5 3.984393-5 5.900000-5 4.418416-5 6.285000-5 4.885009-5 6.285000-5 4.784447-5 6.839116-5 5.443340-5 7.500000-5 6.190460-5 8.222426-5 6.971290-5 9.660509-5 8.464331-5 1.220000-4 1.101705-4 1.344800-4 1.224788-4 1.344800-4 1.112727-4 1.370000-4 1.090991-4 1.418000-4 1.042283-4 1.443000-4 1.022552-4 1.462177-4 1.012803-4 1.481700-4 1.008315-4 1.481700-4 9.388376-5 1.548817-4 8.945194-5 1.580000-4 8.792451-5 1.605000-4 8.731041-5 1.631000-4 8.722330-5 1.659587-4 8.772947-5 1.705000-4 8.936025-5 1.800000-4 9.400612-5 2.020000-4 1.055714-4 2.137962-4 1.122733-4 2.240000-4 1.188471-4 2.317395-4 1.246754-4 2.390000-4 1.310809-4 2.465000-4 1.388062-4 2.535000-4 1.470399-4 2.603600-4 1.559710-4 2.603600-4 1.412745-4 2.691535-4 1.523073-4 2.851018-4 1.738211-4 3.180000-4 2.190282-4 3.390000-4 2.462693-4 3.527600-4 2.633080-4 3.527600-4 2.455903-4 3.556000-4 2.508844-4 3.610000-4 2.587813-4 3.801894-4 2.831365-4 4.073803-4 3.156939-4 4.286300-4 3.399742-4 4.286300-4 3.338394-4 4.677351-4 3.766115-4 5.370318-4 4.488565-4 5.561300-4 4.682779-4 5.561300-4 4.576062-4 5.590000-4 4.630055-4 5.688529-4 4.742432-4 5.739300-4 4.793579-4 5.739300-4 4.726237-4 5.797000-4 4.798115-4 5.925000-4 4.909271-4 6.025596-4 4.965445-4 6.123000-4 4.984855-4 6.400000-4 4.958735-4 6.531306-4 4.983817-4 6.670000-4 5.049457-4 6.850000-4 5.175962-4 7.150000-4 5.438302-4 7.852356-4 6.122237-4 9.600700-4 7.870999-4 9.600700-4 7.844338-4 9.772372-4 7.921484-4 1.006000-3 8.177636-4 1.024000-3 8.352068-4 1.024000-3 8.289867-4 1.303167-3 1.097348-3 1.315900-3 1.109747-3 1.315900-3 1.097321-3 1.673600-3 1.444368-3 1.673600-3 1.441491-3 1.856300-3 1.618970-3 1.856300-3 1.614286-3 3.198895-3 2.926106-3 4.369600-3 4.079760-3 4.369600-3 3.960144-3 4.625500-3 4.215490-3 4.625500-3 4.115425-3 5.247200-3 4.731309-3 5.247200-3 4.697968-3 6.564600-3 6.010667-3 6.564600-3 5.983915-3 6.953100-3 6.369626-3 6.953100-3 6.353447-3 1.949845-2 1.881636-2 2.040900-2 1.972348-2 2.040900-2 1.473211-2 2.600700-2 2.040987-2 2.600700-2 1.763910-2 2.682400-2 1.842775-2 2.682400-2 1.800731-2 3.935501-2 3.032231-2 8.709636-2 7.784842-2 1.391100-1 1.298011-1 1.391100-1 4.207058-2 1.423000-1 4.510541-2 1.435000-1 4.633112-2 1.462177-1 4.887782-2 1.513561-1 5.392314-2 1.659587-1 6.808986-2 2.371374-1 1.381154-1 5.248075-1 4.238745-1 2.630268+0 2.528256+0 1.000000+5 9.999990+4 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.391100-1 1.078579+3 1.408500-1 1.047520+3 1.413000-1 1.038094+3 1.423000-1 1.022676+3 1.435000-1 9.989980+2 1.462177-1 9.578579+2 1.500000-1 8.967600+2 1.584893-1 7.863965+2 1.778279-1 5.904161+2 2.691535-1 2.124403+2 3.198895-1 1.401393+2 3.715352-1 9.829121+1 4.265795-1 7.131176+1 4.897788-1 5.209148+1 5.623413-1 3.832168+1 6.382635-1 2.911983+1 7.328245-1 2.174285+1 8.511380-1 1.596956+1 9.660509-1 1.238251+1 1.202264+0 8.075469+0 1.364583+0 6.348198+0 1.531087+0 5.133475+0 1.737801+0 4.095561+0 1.972423+0 3.291653+0 2.264644+0 2.613470+0 2.600160+0 2.089913+0 3.019952+0 1.653260+0 3.507519+0 1.318621+0 4.073803+0 1.059539+0 4.786301+0 8.436996-1 5.688529+0 6.660584-1 6.760830+0 5.299594-1 8.128305+0 4.184255-1 1.000000+1 3.235000-1 1.230269+1 2.520717-1 1.531087+1 1.950793-1 2.000000+1 1.439600-1 2.630268+1 1.062474-1 3.801894+1 7.135579-2 5.432503+1 4.891252-2 8.609938+1 3.030762-2 1.548817+2 1.661592-2 2.951209+2 8.650342-3 5.888437+2 4.314401-3 2.344229+3 1.079762-3 1.000000+5 2.528900-5 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.391100-1 7.668100-4 1.000000+5 7.668100-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.391100-1 1.263000-1 1.000000+5 1.263000-1 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.391100-1 1.204319-2 1.000000+5 9.999987+4 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.682400-2 3.597543+3 2.713000-2 3.509266+3 2.860000-2 3.218040+3 2.951209-2 3.038839+3 3.070000-2 2.849560+3 3.198895-2 2.648267+3 3.388442-2 2.382737+3 3.801894-2 1.937375+3 4.216965-2 1.590979+3 5.248075-2 1.032011+3 6.025596-2 7.757168+2 6.760830-2 6.091866+2 8.222426-2 3.986718+2 1.000000-1 2.576740+2 1.216186-1 1.648222+2 1.496236-1 1.018239+2 2.754229-1 2.420326+1 3.427678-1 1.456968+1 4.120975-1 9.577963+0 4.897788-1 6.511424+0 5.732700-1 4.614283+0 6.683439-1 3.326079+0 7.762471-1 2.434675+0 9.015711-1 1.794811+0 1.035142+0 1.364995+0 1.230269+0 9.755829-1 1.396368+0 7.680824-1 1.566751+0 6.220087-1 1.778279+0 4.969915-1 2.018366+0 3.999984-1 2.317395+0 3.180159-1 2.660725+0 2.546560-1 3.054921+0 2.053377-1 3.548134+0 1.638676-1 4.120975+0 1.317417-1 4.841724+0 1.049577-1 5.754399+0 8.290450-2 6.839116+0 6.599885-2 8.222427+0 5.213332-2 1.011579+1 4.032290-2 1.258925+1 3.100606-2 1.566751+1 2.401496-2 2.065380+1 1.755295-2 2.722701+1 1.293481-2 3.890451+1 8.800924-3 5.623413+1 5.963603-3 9.015711+1 3.653735-3 1.698244+2 1.912473-3 3.388442+2 9.511971-4 6.760830+2 4.747555-4 5.370318+3 5.955505-5 1.000000+5 3.196900-6 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.682400-2 1.093700-3 1.000000+5 1.093700-3 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.682400-2 1.047600-2 1.000000+5 1.047600-2 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.682400-2 1.525430-2 1.000000+5 9.999999+4 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.600700-2 7.708419+3 2.630268-2 7.552674+3 2.722701-2 6.982700+3 2.851018-2 6.249400+3 2.985383-2 5.607700+3 3.630781-2 3.458900+3 4.000000-2 2.706700+3 4.900000-2 1.599000+3 6.095369-2 8.950000+2 7.673615-2 4.796400+2 9.660509-2 2.549300+2 1.862087-1 4.150700+1 2.344229-1 2.210000+1 2.722701-1 1.475875+1 3.273407-1 9.055638+0 3.801894-1 6.132670+0 4.365158-1 4.310976+0 4.954502-1 3.142822+0 5.623413-1 2.308541+0 6.309573-1 1.756541+0 6.998420-1 1.383663+0 7.852356-1 1.068977+0 8.912509-1 8.110930-1 9.772372-1 6.663310-1 1.059254+0 5.651239-1 1.161449+0 4.712696-1 1.288250+0 3.869158-1 1.445440+0 3.130348-1 1.698244+0 2.344768-1 1.927525+0 1.881767-1 2.213095+0 1.492789-1 2.540973+0 1.192744-1 2.951209+0 9.426554-2 3.427678+0 7.509410-2 4.000000+0 5.985900-2 4.677351+0 4.794175-2 5.559043+0 3.780942-2 6.531306+0 3.050882-2 7.852356+0 2.405459-2 9.549926+0 1.883714-2 1.161449+1 1.485643-2 1.445440+1 1.147577-2 1.840772+1 8.698918-3 2.371374+1 6.552929-3 3.126079+1 4.846698-3 4.415704+1 3.348379-3 6.606934+1 2.194140-3 1.071519+2 1.331984-3 2.113489+2 6.668263-4 4.216965+2 3.321349-4 1.678804+3 8.301866-5 1.000000+5 1.391700-6 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.600700-2 8.035500-4 1.000000+5 8.035500-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.600700-2 1.395000-2 1.000000+5 1.395000-2 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.600700-2 1.125345-2 1.000000+5 9.999999+4 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 2.040900-2 1.936106+4 2.140000-2 1.708384+4 2.371374-2 1.288428+4 2.600160-2 9.931055+3 2.951209-2 6.962239+3 3.311311-2 4.994920+3 3.900000-2 3.098132+3 4.800000-2 1.672012+3 6.025596-2 8.406550+2 7.413102-2 4.454488+2 9.772372-2 1.893137+2 1.678804-1 3.510815+1 2.113489-1 1.727101+1 2.371374-1 1.217319+1 2.900000-1 6.661574+0 3.349654-1 4.357954+0 3.801894-1 3.023427+0 4.265795-1 2.184060+0 4.786301-1 1.588836+0 5.370318-1 1.164618+0 5.956621-1 8.869879-1 6.606935-1 6.801204-1 7.943282-1 4.287018-1 8.609938-1 3.527878-1 9.225714-1 3.005981-1 9.772372-1 2.646463-1 1.047129+0 2.289435-1 1.135011+0 1.946873-1 1.244515+0 1.630067-1 1.380384+0 1.346843-1 1.737801+0 8.931728-2 1.972423+0 7.174391-2 2.264644+0 5.696933-2 2.600160+0 4.556678-2 3.019952+0 3.605654-2 3.507519+0 2.875803-2 4.073803+0 2.310774-2 4.786301+0 1.840095-2 5.688529+0 1.452635-2 6.760830+0 1.155808-2 8.128305+0 9.125635-3 1.000000+1 7.055300-3 1.230269+1 5.497564-3 1.531087+1 4.254665-3 1.995262+1 3.148078-3 2.630268+1 2.317101-3 3.801894+1 1.556174-3 5.495409+1 1.053985-3 8.709636+1 6.531911-4 1.584893+2 3.539739-4 3.162278+2 1.759565-4 6.309573+2 8.778736-5 5.011872+3 1.100985-5 1.000000+5 5.515500-7 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 2.040900-2 7.587400-4 1.000000+5 7.587400-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.040900-2 8.704100-3 1.000000+5 8.704100-3 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.040900-2 1.094616-2 1.000000+5 9.999999+4 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 6.953100-3 8.808355+3 7.161434-3 8.463362+3 7.350000-3 8.208840+3 7.500000-3 7.988900+3 7.800000-3 7.620340+3 8.511380-3 6.756823+3 9.120108-3 6.166702+3 9.549926-3 5.775003+3 1.150000-2 4.371320+3 1.258925-2 3.779021+3 1.479108-2 2.904980+3 1.640590-2 2.430585+3 1.905461-2 1.868155+3 2.213095-2 1.420183+3 2.483133-2 1.144515+3 2.951209-2 8.201452+2 3.548134-2 5.683007+2 4.216965-2 3.989674+2 5.011872-2 2.776077+2 5.956621-2 1.915051+2 7.000000-2 1.343792+2 8.317638-2 9.139183+1 1.000000-1 6.009180+1 1.230269-1 3.720686+1 1.603245-1 1.998754+1 2.630268-1 6.210646+0 3.235937-1 3.830769+0 3.935501-1 2.445252+0 4.677351-1 1.657492+0 5.370318-1 1.222197+0 6.237348-1 8.848146-1 7.244360-1 6.450913-1 8.511380-1 4.626581-1 9.660509-1 3.586577-1 1.188502+0 2.391374-1 1.333521+0 1.920005-1 1.513561+0 1.518715-1 1.717908+0 1.211033-1 1.949845+0 9.728460-2 2.238721+0 7.720713-2 2.570396+0 6.171842-2 2.985383+0 4.880691-2 3.467369+0 3.890372-2 4.027170+0 3.124163-2 4.731513+0 2.486436-2 5.623413+0 1.961956-2 6.683439+0 1.560274-2 8.035261+0 1.231336-2 9.885531+0 9.515496-3 1.216186+1 7.411639-3 1.513561+1 5.733687-3 1.949845+1 4.296194-3 2.540973+1 3.200279-3 3.630781+1 2.174151-3 5.128614+1 1.506917-3 8.128305+1 9.328071-4 1.428894+2 5.231296-4 2.660725+2 2.785194-4 5.308844+2 1.388632-4 2.113489+3 3.473441-5 1.000000+5 7.334600-7 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 6.953100-3 8.568700-4 1.000000+5 8.568700-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.953100-3 1.347000-4 1.000000+5 1.347000-4 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 6.953100-3 5.961530-3 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 6.564600-3 1.439932+4 6.594000-3 1.409691+4 6.642000-3 1.384287+4 6.850000-3 1.347603+4 7.244360-3 1.273646+4 8.035261-3 1.128616+4 8.413951-3 1.065908+4 8.912509-3 9.851066+3 1.011579-2 8.187253+3 1.122018-2 6.979351+3 1.161449-2 6.598752+3 1.364583-2 5.009364+3 1.462177-2 4.420680+3 1.717908-2 3.257606+3 1.862087-2 2.778495+3 2.162719-2 2.045913+3 2.371374-2 1.683359+3 2.730000-2 1.239370+3 3.150000-2 8.982080+2 3.507519-2 7.010720+2 4.027170-2 5.063033+2 4.677351-2 3.528123+2 5.432503-2 2.439275+2 6.382635-2 1.626423+2 7.585776-2 1.045241+2 9.225714-2 6.281972+1 1.150000-1 3.512349+1 2.290868-1 5.598066+0 2.818383-1 3.243411+0 3.349654-1 2.071996+0 3.890451-1 1.414440+0 4.466836-1 1.000960+0 5.128614-1 7.136183-1 5.821032-1 5.271828-1 6.531306-1 4.031600-1 7.328245-1 3.104402-1 8.511380-1 2.230684-1 9.332543-1 1.832130-1 1.011579+0 1.552824-1 1.148154+0 1.208451-1 1.273503+0 9.903749-2 1.445440+0 7.833478-2 1.678804+0 5.986042-2 1.905461+0 4.801311-2 2.187762+0 3.805483-2 2.511886+0 3.038713-2 2.884032+0 2.443577-2 3.349654+0 1.944317-2 3.890451+0 1.558740-2 4.570882+0 1.238504-2 5.432503+0 9.757707-3 6.382635+0 7.865819-3 7.673615+0 6.196067-3 9.332543+0 4.847585-3 1.135011+1 3.820042-3 1.428894+1 2.909339-3 1.800000+1 2.231900-3 2.344229+1 1.660152-3 3.090295+1 1.227539-3 4.365158+1 8.478544-4 6.531306+1 5.554626-4 1.059254+2 3.371289-4 2.113489+2 1.667963-4 4.216965+2 8.308105-5 1.678804+3 2.076664-5 1.000000+5 3.481100-7 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 6.564600-3 7.703500-4 1.000000+5 7.703500-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.564600-3 2.415200-4 1.000000+5 2.415200-4 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.564600-3 5.552730-3 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 5.247200-3 6.011244+4 5.280000-3 5.900679+4 5.380000-3 5.672252+4 5.821032-3 4.971805+4 6.683439-3 3.889303+4 7.161434-3 3.416474+4 8.222426-3 2.612110+4 9.015711-3 2.174054+4 1.096478-2 1.448340+4 1.190000-2 1.211284+4 1.400000-2 8.428920+3 1.548817-2 6.670673+3 1.757924-2 4.949183+3 2.018366-2 3.536525+3 2.238721-2 2.734724+3 2.600160-2 1.869414+3 3.019952-2 1.265406+3 3.427678-2 9.029303+2 3.890451-2 6.404720+2 4.466836-2 4.373672+2 5.128614-2 2.967389+2 5.956621-2 1.935936+2 7.000000-2 1.212964+2 8.413951-2 7.062859+1 1.035142-1 3.811577+1 2.018366-1 5.109992+0 2.454709-1 2.851184+0 2.884032-1 1.774901+0 3.349654-1 1.151110+0 3.845918-1 7.775805-1 4.365158-1 5.467118-1 4.897788-1 3.995969-1 5.495409-1 2.941340-1 6.095369-1 2.247055-1 6.760830-1 1.728394-1 7.498942-1 1.338348-1 8.709636-1 9.320673-2 9.332543-1 7.937744-2 9.885531-1 6.984543-2 1.059254+0 6.038490-2 1.148154+0 5.137542-2 1.250000+0 4.366741-2 1.380384+0 3.640286-2 1.757924+0 2.367543-2 2.000000+0 1.895161-2 2.290868+0 1.511834-2 2.630268+0 1.210000-2 3.054921+0 9.581243-3 3.548134+0 7.646128-3 4.120975+0 6.147221-3 4.841724+0 4.897725-3 5.754399+0 3.868427-3 6.839116+0 3.079584-3 8.222427+0 2.432626-3 1.011579+1 1.881543-3 1.258925+1 1.446769-3 1.566751+1 1.120529-3 2.065380+1 8.190551-4 2.722701+1 6.035464-4 3.935501+1 4.056550-4 5.688529+1 2.749346-4 9.015711+1 1.704885-4 1.698244+2 8.923972-5 3.388442+2 4.438412-5 6.760830+2 2.215291-5 5.370318+3 2.778880-6 1.000000+5 1.491700-7 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 5.247200-3 6.568800-4 1.000000+5 6.568800-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 5.247200-3 8.651000-5 1.000000+5 8.651000-5 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 5.247200-3 4.503810-3 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 4.625500-3 1.310900+5 4.731513-3 1.279032+5 4.841724-3 1.238438+5 4.902800-3 1.213400+5 4.954502-3 1.187393+5 5.500000-3 8.999120+4 5.900000-3 7.421840+4 6.683439-3 5.228361+4 7.585776-3 3.635414+4 8.413951-3 2.684201+4 9.332543-3 1.969052+4 1.150000-2 1.035416+4 1.350000-2 6.231240+3 1.496236-2 4.477834+3 1.778279-2 2.543903+3 2.113489-2 1.428254+3 2.454709-2 8.584730+2 2.818383-2 5.331144+2 3.273407-2 3.161156+2 3.845918-2 1.788530+2 4.623810-2 9.257307+1 5.688529-2 4.378422+1 7.413102-2 1.667596+1 1.047129-1 4.707122+0 1.258925-1 2.377045+0 1.396368-1 1.630048+0 1.603245-1 9.929445-1 1.883649-1 5.612593-1 2.371374-1 2.498618-1 2.722701-1 1.548091-1 3.090295-1 1.005428-1 3.467369-1 6.840182-2 3.890451-1 4.687437-2 4.315191-1 3.358628-2 4.786301-1 2.423280-2 5.308844-1 1.761038-2 5.821032-1 1.335184-2 6.237348-1 1.091172-2 6.839117-1 8.403712-3 7.498942-1 6.519697-3 8.035261-1 5.409068-3 8.609938-1 4.468992-3 9.120108-1 3.836365-3 9.549926-1 3.415266-3 1.000000+0 3.060015-3 1.047129+0 2.760751-3 1.109175+0 2.445455-3 1.174898+0 2.181408-3 1.258925+0 1.916124-3 1.364583+0 1.659307-3 1.513561+0 1.387808-3 1.840772+0 9.816031-4 2.044000+0 8.204919-4 2.344229+0 6.539859-4 2.691535+0 5.240151-4 3.126079+0 4.154144-4 3.630781+0 3.318982-4 4.216965+0 2.671345-4 4.954502+0 2.130609-4 5.888437+0 1.684589-4 7.000000+0 1.342000-4 8.413951+0 1.061360-4 1.035142+1 8.216336-5 1.303167+1 6.237370-5 1.621810+1 4.836815-5 2.137962+1 3.539000-5 2.800000+1 2.629300-5 4.027170+1 1.777632-5 5.821032+1 1.205418-5 9.332543+1 7.389396-6 1.778279+2 3.824554-6 3.548134+2 1.902799-6 1.412538+3 4.752100-7 8.912509+4 7.516750-9 1.000000+5 6.699500-9 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 4.625500-3 5.022100-4 1.000000+5 5.022100-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.625500-3 2.685600-4 1.000000+5 2.685600-4 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.625500-3 3.854730-3 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 4.369600-3 2.216949+5 4.535000-3 2.004683+5 4.731513-3 1.808001+5 4.897788-3 1.649174+5 5.248075-3 1.365705+5 5.754399-3 1.053073+5 6.531306-3 7.302921+4 7.244360-3 5.388280+4 8.000000-3 4.001526+4 8.810489-3 2.979970+4 9.800000-3 2.133732+4 1.109175-2 1.443444+4 1.244515-2 9.938432+3 1.400000-2 6.759420+3 1.659587-2 3.825084+3 1.905461-2 2.386697+3 2.150000-2 1.571112+3 2.483133-2 9.471091+2 2.917427-2 5.327968+2 3.427678-2 2.971862+2 4.027170-2 1.645339+2 4.800000-2 8.576520+1 5.888437-2 3.985660+1 7.585776-2 1.528971+1 1.230269-1 2.444177+0 1.500000-1 1.159422+0 1.737801-1 6.712238-1 1.927525-1 4.590762-1 2.317395-1 2.362950-1 2.630268-1 1.507939-1 2.951209-1 1.009877-1 3.273407-1 7.092211-2 3.630781-1 5.017248-2 4.000000-1 3.656162-2 4.415705-1 2.666904-2 4.841724-1 2.002066-2 5.308844-1 1.513732-2 5.821032-1 1.153318-2 6.237348-1 9.461212-3 6.760830-1 7.558725-3 7.413102-1 5.892495-3 8.709636-1 3.850716-3 9.225714-1 3.329595-3 9.660509-1 2.980154-3 1.011579+0 2.683067-3 1.071519+0 2.370751-3 1.135011+0 2.108562-3 1.216186+0 1.845157-3 1.318257+0 1.591122-3 1.840772+0 8.829285-4 2.065380+0 7.253441-4 2.371374+0 5.774202-4 2.722701+0 4.629498-4 3.162278+0 3.672419-4 3.672823+0 2.935799-4 4.265795+0 2.364239-4 5.011872+0 1.886614-4 5.956621+0 1.492373-4 7.161434+0 1.172224-4 8.609938+0 9.277339-5 1.059254+1 7.188264-5 1.348963+1 5.388120-5 1.698244+1 4.128551-5 2.238721+1 3.024792-5 2.884032+1 2.290698-5 4.120975+1 1.560603-5 6.025596+1 1.046040-5 9.660509+1 6.416053-6 1.883649+2 3.245457-6 3.758374+2 1.615426-6 1.496236+3 4.035845-7 1.000000+5 6.027300-9 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 4.369600-3 5.018500-4 1.000000+5 5.018500-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.369600-3 4.340000-7 1.000000+5 4.340000-7 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.369600-3 3.867316-3 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.856300-3 1.945166+4 2.113489-3 1.693241+4 2.300000-3 1.550098+4 2.786121-3 1.236852+4 3.273407-3 1.012607+4 3.548134-3 9.092294+3 4.315191-3 6.926324+3 4.800000-3 5.926520+3 5.688529-3 4.586365+3 6.800000-3 3.460860+3 7.673615-3 2.842699+3 9.015711-3 2.171023+3 1.083927-2 1.579687+3 1.303167-2 1.137900+3 1.548817-2 8.294126+2 1.840772-2 5.996392+2 2.162719-2 4.398531+2 2.540973-2 3.205009+2 3.019952-2 2.266485+2 3.589219-2 1.590574+2 4.300000-2 1.089254+2 5.128614-2 7.470435+1 6.095369-2 5.125109+1 7.328245-2 3.403198+1 8.810489-2 2.243370+1 1.059254-1 1.469045+1 1.364583-1 8.130167+0 2.722701-1 1.593992+0 3.388442-1 9.579360-1 4.027170-1 6.450667-1 4.786301-1 4.380609-1 5.623413-1 3.075200-1 6.382635-1 2.343330-1 7.498942-1 1.671549-1 8.810489-1 1.201297-1 1.011579+0 9.102459-2 1.216186+0 6.354021-2 1.364583+0 5.109297-2 1.548817+0 4.048793-2 1.757924+0 3.232751-2 2.000000+0 2.589896-2 2.290868+0 2.066464-2 2.630268+0 1.653839-2 3.054921+0 1.309396-2 3.548134+0 1.044927-2 4.120975+0 8.400755-3 4.841724+0 6.693148-3 5.754399+0 5.286654-3 6.839116+0 4.208540-3 8.222427+0 3.324361-3 1.011579+1 2.571276-3 1.258925+1 1.977111-3 1.566751+1 1.531341-3 2.041738+1 1.133891-3 2.691535+1 8.352023-4 3.890451+1 5.612183-4 5.623413+1 3.802791-4 8.912509+1 2.357644-4 1.659587+2 1.248426-4 3.311311+2 6.208097-5 6.606934+2 3.098201-5 5.248075+3 3.886185-6 1.000000+5 2.038600-7 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.856300-3 5.176800-4 1.000000+5 5.176800-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.856300-3 1.361000-6 1.000000+5 1.361000-6 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.856300-3 1.337259-3 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.673600-3 1.609474+4 1.860000-3 1.568996+4 2.041738-3 1.538951+4 2.187762-3 1.502563+4 2.371374-3 1.447531+4 2.570396-3 1.384305+4 2.754229-3 1.322867+4 3.019952-3 1.234084+4 3.220000-3 1.167224+4 3.589219-3 1.051167+4 3.900000-3 9.650280+3 4.216965-3 8.833267+3 4.731513-3 7.680128+3 5.150000-3 6.887780+3 5.688529-3 6.009895+3 6.309573-3 5.183183+3 6.918310-3 4.511212+3 7.800000-3 3.737600+3 8.709636-3 3.117388+3 9.660509-3 2.613573+3 1.096478-2 2.088816+3 1.230269-2 1.691189+3 1.380384-2 1.360117+3 1.566751-2 1.062074+3 1.778279-2 8.229619+2 2.018366-2 6.330135+2 2.300000-2 4.793200+2 2.600160-2 3.666940+2 2.951209-2 2.762916+2 3.349654-2 2.068606+2 3.845918-2 1.498225+2 4.415704-2 1.077604+2 5.188000-2 7.278931+1 6.025596-2 5.019621+1 7.161434-2 3.244525+1 8.709636-2 1.961982+1 1.059254-1 1.176487+1 2.187762-1 1.724572+0 2.754229-1 9.433832-1 3.311311-1 5.863233-1 3.890451-1 3.892590-1 4.518559-1 2.680610-1 5.128614-1 1.968410-1 5.821032-1 1.456191-1 6.606935-1 1.085410-1 7.413102-1 8.367523-2 8.317638-1 6.483081-2 9.120108-1 5.320854-2 9.885531-1 4.504141-2 1.122018+0 3.501920-2 1.258925+0 2.804486-2 1.428894+0 2.215411-2 1.640590+0 1.726276-2 1.862087+0 1.382844-2 2.113489+0 1.115641-2 2.426610+0 8.891524-3 2.786121+0 7.137098-3 3.235937+0 5.668533-3 3.758374+0 4.536737-3 4.365158+0 3.657523-3 5.188000+0 2.875700-3 6.165950+0 2.278446-3 7.413102+0 1.792270-3 8.912509+0 1.420432-3 1.100000+1 1.097700-3 1.400000+1 8.245800-4 1.757924+1 6.344862-4 2.290868+1 4.713019-4 2.951209+1 3.571144-4 4.168694+1 2.464068-4 6.165950+1 1.632257-4 1.000000+2 9.898000-5 1.972423+2 4.950717-5 3.935501+2 2.464944-5 1.566751+3 6.159644-6 1.000000+5 9.634100-8 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.673600-3 4.834900-4 1.000000+5 4.834900-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.673600-3 9.409400-7 1.000000+5 9.409400-7 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.673600-3 1.189169-3 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.315900-3 1.339788+5 1.430000-3 1.224105+5 1.659587-3 1.030278+5 1.927525-3 8.528757+4 2.104000-3 7.593193+4 2.400000-3 6.302680+4 2.660725-3 5.396560+4 3.070000-3 4.325680+4 3.388442-3 3.683037+4 3.935501-3 2.863007+4 4.365158-3 2.387243+4 5.000000-3 1.869020+4 5.688529-3 1.468209+4 6.382635-3 1.176575+4 7.328245-3 8.947418+3 8.317638-3 6.907046+3 9.440609-3 5.294331+3 1.071519-2 4.029976+3 1.230269-2 2.968238+3 1.412538-2 2.168043+3 1.621810-2 1.570536+3 1.862087-2 1.128505+3 2.113489-2 8.276922+2 2.400000-2 6.023680+2 2.754229-2 4.239286+2 3.162278-2 2.957473+2 3.672823-2 1.985730+2 4.265795-2 1.322559+2 4.954502-2 8.741084+1 5.821032-2 5.550371+1 6.918310-2 3.384562+1 8.222426-2 2.048754+1 1.023293-1 1.074695+1 1.396368-1 4.253844+0 2.041738-1 1.363861+0 2.511886-1 7.381890-1 2.985383-1 4.457871-1 3.467369-1 2.900145-1 3.981072-1 1.964493-1 4.518559-1 1.384558-1 5.069907-1 1.014192-1 5.623413-1 7.711622-2 6.309573-1 5.731892-2 6.998420-1 4.418668-2 8.317638-1 2.896070-2 8.912509-1 2.458144-2 9.549926-1 2.100437-2 1.011579+0 1.853952-2 1.083927+0 1.607204-2 1.174898+0 1.370660-2 1.288250+0 1.151828-2 1.445440+0 9.349636-3 1.757924+0 6.601175-3 1.995262+0 5.305903-3 2.290868+0 4.216254-3 2.630268+0 3.374413-3 3.054921+0 2.671807-3 3.548134+0 2.132242-3 4.120975+0 1.714245-3 4.841724+0 1.365735-3 5.754399+0 1.078769-3 6.839116+0 8.587672-4 8.222427+0 6.783458-4 1.011579+1 5.246783-4 1.258925+1 4.034412-4 1.566751+1 3.124836-4 2.065380+1 2.283997-4 2.722701+1 1.683022-4 3.935501+1 1.131153-4 5.688529+1 7.666843-5 9.120108+1 4.698158-5 1.717908+2 2.459537-5 3.427678+2 1.223410-5 6.839116+2 6.106499-6 5.432503+3 7.660537-7 1.000000+5 4.159800-8 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.315900-3 4.160400-4 1.000000+5 4.160400-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.315900-3 8.815300-7 1.000000+5 8.815300-7 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.315900-3 8.989785-4 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.024000-3 1.386834+5 1.040700-3 1.490053+5 1.071519-3 1.622316+5 1.110000-3 1.722167+5 1.153000-3 1.817390+5 1.190000-3 1.875026+5 1.230269-3 1.905468+5 1.258925-3 1.893169+5 1.330000-3 1.830520+5 1.400000-3 1.761516+5 1.470000-3 1.689360+5 1.548817-3 1.608362+5 1.650000-3 1.504784+5 1.757924-3 1.398005+5 1.883649-3 1.280775+5 2.000000-3 1.180472+5 2.162719-3 1.052907+5 2.317395-3 9.469338+4 2.454709-3 8.618313+4 2.691535-3 7.346487+4 2.917427-3 6.353584+4 3.150000-3 5.493800+4 3.467369-3 4.543352+4 3.758374-3 3.852945+4 4.120975-3 3.165206+4 4.570882-3 2.518536+4 5.011872-3 2.039366+4 5.559043-3 1.596808+4 6.095369-3 1.275554+4 6.760830-3 9.838595+3 7.500000-3 7.527720+3 8.317638-3 5.723643+3 9.225714-3 4.319885+3 1.023293-2 3.238748+3 1.150000-2 2.323412+3 1.303167-2 1.613491+3 1.479108-2 1.105308+3 1.678804-2 7.507060+2 1.905461-2 5.057201+2 2.162719-2 3.380318+2 2.426610-2 2.329065+2 2.786121-2 1.478563+2 3.235937-2 8.959609+1 3.715352-2 5.601009+1 4.365158-2 3.211772+1 5.188000-2 1.755630+1 6.309573-2 8.780497+0 8.035261-2 3.697764+0 1.445440-1 4.475787-1 1.757924-1 2.229527-1 2.041738-1 1.316770-1 2.511886-1 6.416697-2 2.884032-1 4.003112-2 3.273407-1 2.617125-2 3.672823-1 1.791442-2 4.120975-1 1.235438-2 4.623810-1 8.588202-3 5.128614-1 6.236645-3 5.623413-1 4.725182-3 6.095369-1 3.729195-3 6.683439-1 2.869294-3 7.328245-1 2.222938-3 8.035261-1 1.732175-3 8.609938-1 1.431936-3 9.120108-1 1.229762-3 9.549926-1 1.095103-3 1.000000+0 9.814258-4 1.047129+0 8.855935-4 1.109175+0 7.845548-4 1.174898+0 6.998788-4 1.258925+0 6.147493-4 1.364583+0 5.322808-4 1.531087+0 4.360639-4 1.840772+0 3.148198-4 2.044000+0 2.631533-4 2.344229+0 2.097513-4 2.691535+0 1.680670-4 3.126079+0 1.332354-4 3.630781+0 1.064479-4 4.216965+0 8.567513-5 4.954502+0 6.833162-5 5.888437+0 5.402699-5 7.000000+0 4.304000-5 8.413951+0 3.403926-5 1.035142+1 2.635114-5 1.303167+1 2.000447-5 1.640590+1 1.530912-5 2.187762+1 1.106250-5 2.851018+1 8.268816-6 4.073803+1 5.631671-6 5.956621+1 3.774076-6 9.549926+1 2.314448-6 1.840772+2 1.184312-6 3.672823+2 5.893841-7 1.462177+3 1.472284-7 9.225714+4 2.328961-9 1.000000+5 2.148700-9 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.024000-3 3.351200-4 1.000000+5 3.351200-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.024000-3 6.025000-7 1.000000+5 6.025000-7 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.024000-3 6.882775-4 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 9.600700-4 5.914396+4 9.605000-4 6.445200+4 9.618000-4 7.877640+4 9.624000-4 8.615880+4 9.631000-4 9.528720+4 9.638000-4 1.049424+5 9.646000-4 1.164888+5 9.654000-4 1.285050+5 9.661000-4 1.393128+5 9.669000-4 1.518666+5 9.677000-4 1.644834+5 9.685000-4 1.770096+5 9.692000-4 1.877922+5 9.700000-4 1.997820+5 9.708000-4 2.113218+5 9.715000-4 2.209602+5 9.723000-4 2.313900+5 9.733000-4 2.434632+5 9.740000-4 2.512560+5 9.750000-4 2.614242+5 9.760000-4 2.704854+5 9.772372-4 2.802423+5 9.785000-4 2.887020+5 9.800000-4 2.970618+5 9.815000-4 3.038796+5 9.835000-4 3.111300+5 9.850000-4 3.155244+5 9.880000-4 3.224970+5 9.915000-4 3.287364+5 9.950000-4 3.337950+5 1.000000-3 3.396180+5 1.006000-3 3.446226+5 1.012000-3 3.475224+5 1.019000-3 3.486540+5 1.080000-3 3.428772+5 1.163700-3 3.289386+5 1.230269-3 3.160725+5 1.303167-3 3.011612+5 1.380384-3 2.851877+5 1.479108-3 2.651163+5 1.584893-3 2.445184+5 1.690000-3 2.252352+5 1.800000-3 2.065674+5 1.905461-3 1.901382+5 2.113489-3 1.618074+5 2.264644-3 1.443129+5 2.454709-3 1.251417+5 2.722701-3 1.033672+5 2.917427-3 9.044342+4 3.235937-3 7.334160+4 3.507519-3 6.195134+4 3.845918-3 5.069801+4 4.216965-3 4.122235+4 4.650000-3 3.283854+4 5.128614-3 2.596098+4 5.688529-3 2.008425+4 6.237348-3 1.588345+4 6.918310-3 1.211093+4 7.673615-3 9.164871+3 8.511380-3 6.887401+3 9.549926-3 4.973723+3 1.083927-2 3.443173+3 1.230269-2 2.360560+3 1.400000-2 1.590414+3 1.584893-2 1.079040+3 1.800000-2 7.184880+2 2.041738-2 4.763715+2 2.300000-2 3.207138+2 2.600160-2 2.119699+2 2.951209-2 1.372470+2 3.388442-2 8.476649+1 3.935501-2 4.990638+1 4.623810-2 2.797410+1 5.559043-2 1.432281+1 6.760830-2 6.974401+0 8.413951-2 3.094109+0 9.549926-2 1.925122+0 1.122019-1 1.043277+0 1.258925-1 6.778812-1 1.348963-1 5.257322-1 1.584893-1 2.929945-1 2.018366-1 1.213109-1 2.317395-1 7.405511-2 2.630268-1 4.744781-2 2.951209-1 3.187343-2 3.311311-1 2.155776-2 3.672823-1 1.527146-2 4.027170-1 1.131450-2 4.415705-1 8.443860-3 4.841724-1 6.345864-3 5.308844-1 4.803935-3 5.821032-1 3.663576-3 6.309573-1 2.908901-3 6.839117-1 2.324815-3 7.413102-1 1.873203-3 8.128305-1 1.474274-3 9.015711-1 1.132863-3 9.549926-1 9.808640-4 1.000000+0 8.798025-4 1.059254+0 7.751266-4 1.122018+0 6.880945-4 1.188502+0 6.147278-4 1.288250+0 5.292885-4 1.412538+0 4.496800-4 1.531087+0 3.909095-4 1.819701+0 2.879350-4 2.044000+0 2.359347-4 2.344229+0 1.880703-4 2.691535+0 1.506946-4 3.090295+0 1.215815-4 3.589219+0 9.708390-5 4.168694+0 7.809686-5 4.897788+0 6.225536-5 5.821032+0 4.919757-5 6.918310+0 3.918458-5 8.317638+0 3.096618-5 1.023293+1 2.396209-5 1.273503+1 1.843247-5 1.600000+1 1.412700-5 2.137962+1 1.017744-5 2.800000+1 7.561500-6 4.027170+1 5.112100-6 5.888437+1 3.425068-6 9.440609+1 2.100017-6 1.798871+2 1.087077-6 3.589219+2 5.409010-7 1.428894+3 1.350935-7 9.015711+4 2.136967-9 1.000000+5 1.926600-9 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 9.600700-4 3.169000-4 1.000000+5 3.169000-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 9.600700-4 1.038700-7 1.000000+5 1.038700-7 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 9.600700-4 6.430661-4 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 5.739300-4 6.604619+4 5.739600-4 6.499500+4 5.744000-4 6.218520+4 5.748500-4 5.986602+4 5.753000-4 5.792778+4 5.757000-4 5.648490+4 5.762000-4 5.496852+4 5.770000-4 5.305332+4 5.777000-4 5.175894+4 5.785000-4 5.061684+4 5.797000-4 4.935360+4 5.810000-4 4.840758+4 5.825000-4 4.768578+4 5.848000-4 4.704096+4 5.870000-4 4.670994+4 5.900000-4 4.654440+4 5.925000-4 4.663764+4 5.950800-4 4.701725+4 5.970000-4 4.754688+4 5.993000-4 4.853316+4 6.007000-4 4.935756+4 6.025596-4 5.076817+4 6.040000-4 5.213478+4 6.057000-4 5.409834+4 6.073000-4 5.632680+4 6.090000-4 5.915142+4 6.107000-4 6.248940+4 6.123000-4 6.615600+4 6.140000-4 7.065300+4 6.157000-4 7.583640+4 6.180000-4 8.405100+4 6.200000-4 9.242640+4 6.230000-4 1.073784+5 6.260000-4 1.254882+5 6.335000-4 1.862790+5 6.370000-4 2.227362+5 6.400000-4 2.581542+5 6.430000-4 2.973210+5 6.460000-4 3.401052+5 6.490000-4 3.863184+5 6.515000-4 4.272888+5 6.540000-4 4.703178+5 6.565000-4 5.152116+5 6.590000-4 5.617434+5 6.615000-4 6.096540+5 6.640000-4 6.586320+5 6.670000-4 7.183560+5 6.700000-4 7.785180+5 6.730000-4 8.384640+5 6.760830-4 8.991619+5 6.790000-4 9.550560+5 6.820000-4 1.010622+6 6.850000-4 1.063698+6 6.881100-4 1.115729+6 6.918310-4 1.173611+6 6.950000-4 1.219050+6 6.985000-4 1.264890+6 7.020000-4 1.306626+6 7.060000-4 1.349274+6 7.100000-4 1.386888+6 7.150000-4 1.427298+6 7.205000-4 1.464036+6 7.260000-4 1.493496+6 7.328245-4 1.521040+6 7.413102-4 1.543394+6 7.500000-4 1.554810+6 7.585776-4 1.557877+6 7.690000-4 1.553094+6 7.852356-4 1.535018+6 8.035261-4 1.504722+6 8.222426-4 1.466620+6 8.511380-4 1.401268+6 8.912509-4 1.307536+6 9.332543-4 1.211683+6 9.885531-4 1.093204+6 1.050000-3 9.739080+5 1.122018-3 8.503536+5 1.190000-3 7.489980+5 1.258925-3 6.598809+5 1.350000-3 5.600916+5 1.450000-3 4.694856+5 1.584893-3 3.742390+5 1.698244-3 3.117503+5 1.862087-3 2.421210+5 2.041738-3 1.868208+5 2.220000-3 1.464216+5 2.454709-3 1.085745+5 2.660725-3 8.488669+4 2.985383-3 5.925766+4 3.273407-3 4.411932+4 3.650000-3 3.091206+4 4.073803-3 2.140039+4 4.500000-3 1.523478+4 5.011872-3 1.046942+4 5.623413-3 6.953731+3 6.237348-3 4.778573+3 6.918310-3 3.263881+3 7.800000-3 2.082930+3 8.810489-3 1.309039+3 1.000000-2 8.008740+2 1.135011-2 4.858136+2 1.273503-2 3.062466+2 1.428894-2 1.918453+2 1.610000-2 1.174110+2 1.862087-2 6.400989+1 2.137962-2 3.570774+1 2.483133-2 1.882229+1 2.917427-2 9.368719+0 3.467369-2 4.401511+0 4.216965-2 1.854695+0 5.623413-2 5.150935-1 7.498942-2 1.423518-1 9.015711-2 6.199829-2 1.035142-1 3.345098-2 1.161449-1 2.013213-2 1.298900-1 1.238204-2 1.513561-1 6.454382-3 1.757924-1 3.376407-3 1.949845-1 2.178339-3 2.162719-1 1.415480-3 2.426610-1 8.832908-4 2.869080-1 4.494278-4 3.198895-1 2.914888-4 3.548134-1 1.943335-4 3.935501-1 1.305391-4 4.315191-1 9.227940-5 4.731513-1 6.568837-5 5.308844-1 4.326268-5 5.623413-1 3.531019-5 5.956621-1 2.902342-5 6.237348-1 2.501021-5 6.683439-1 2.016532-5 7.498942-1 1.421480-5 8.709636-1 9.045566-6 9.225714-1 7.570281-6 9.549926-1 6.761148-6 9.885531-1 6.073512-6 1.023293+0 5.498681-6 1.047129+0 5.173012-6 1.083927+0 4.754792-6 1.122018+0 4.404412-6 1.161449+0 4.107103-6 1.202264+0 3.851211-6 1.288250+0 3.421854-6 1.364583+0 3.121103-6 1.500000+0 2.705004-6 1.659587+0 2.266855-6 1.927525+0 1.739537-6 2.137962+0 1.459921-6 2.454709+0 1.164268-6 2.818383+0 9.350554-7 3.273407+0 7.430906-7 3.801894+0 5.950625-7 4.415704+0 4.799969-7 5.248075+0 3.775902-7 6.237348+0 2.993339-7 7.498942+0 2.355731-7 9.015711+0 1.867849-7 1.100000+1 1.464300-7 1.396368+1 1.103243-7 1.757924+1 8.463579-8 2.290868+1 6.286836-8 2.951209+1 4.763656-8 4.216965+1 3.246892-8 6.165950+1 2.177409-8 9.885531+1 1.336003-8 1.927525+2 6.759988-9 3.845918+2 3.365209-9 1.531087+3 8.40855-10 1.000000+5 1.28510-11 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 5.739300-4 1.904700-4 1.000000+5 1.904700-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 5.739300-4 5.179000-8 1.000000+5 5.179000-8 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 5.739300-4 3.834082-4 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 5.561300-4 1.030064+5 5.562000-4 1.014480+5 5.565000-4 9.684240+4 5.568000-4 9.294240+4 5.572000-4 8.860400+4 5.575000-4 8.584880+4 5.579000-4 8.273680+4 5.584500-4 7.921192+4 5.590000-4 7.640704+4 5.597000-4 7.354832+4 5.603000-4 7.159352+4 5.609000-4 6.999728+4 5.617000-4 6.829304+4 5.628000-4 6.652232+4 5.638000-4 6.532864+4 5.650000-4 6.426848+4 5.665000-4 6.335240+4 5.687000-4 6.254568+4 5.710000-4 6.214384+4 5.732000-4 6.207464+4 5.755000-4 6.232104+4 5.777000-4 6.290912+4 5.800000-4 6.398400+4 5.822000-4 6.555736+4 5.840000-4 6.732200+4 5.858000-4 6.958680+4 5.872000-4 7.173952+4 5.890000-4 7.506856+4 5.908000-4 7.910216+4 5.923000-4 8.306160+4 5.940000-4 8.827520+4 5.958000-4 9.471600+4 5.980000-4 1.040224+5 6.000000-4 1.139928+5 6.025596-4 1.290962+5 6.050000-4 1.461952+5 6.090000-4 1.805656+5 6.165950-4 2.700817+5 6.200000-4 3.211504+5 6.230000-4 3.717712+5 6.263700-4 4.347175+5 6.290000-4 4.881360+5 6.320000-4 5.533904+5 6.350000-4 6.229088+5 6.382635-4 7.028734+5 6.410000-4 7.729552+5 6.441400-4 8.561242+5 6.470000-4 9.337760+5 6.500000-4 1.016392+6 6.531306-4 1.102942+6 6.565000-4 1.195312+6 6.600000-4 1.289120+6 6.630000-4 1.366808+6 6.660000-4 1.441280+6 6.685000-4 1.500488+6 6.720000-4 1.578672+6 6.760830-4 1.662321+6 6.800000-4 1.734824+6 6.839116-4 1.799772+6 6.890000-4 1.873720+6 6.930000-4 1.923960+6 6.985000-4 1.982680+6 7.040000-4 2.030424+6 7.100000-4 2.071400+6 7.161434-4 2.102565+6 7.244360-4 2.129728+6 7.328245-4 2.142920+6 7.413102-4 2.145080+6 7.500000-4 2.138808+6 7.650000-4 2.114728+6 7.852356-4 2.066498+6 8.035261-4 2.012789+6 8.317638-4 1.920955+6 8.700000-4 1.793168+6 9.120108-4 1.656169+6 9.700000-4 1.480584+6 1.031000-3 1.314308+6 1.096478-3 1.156663+6 1.170000-3 1.003816+6 1.258925-3 8.488604+5 1.333521-3 7.398562+5 1.428894-3 6.226082+5 1.570000-3 4.883968+5 1.690000-3 4.009536+5 1.862087-3 3.063377+5 2.018366-3 2.434241+5 2.220000-3 1.840568+5 2.426610-3 1.408305+5 2.691535-3 1.022972+5 2.951209-3 7.648402+4 3.273407-3 5.474121+4 3.630781-3 3.887667+4 4.027170-3 2.741078+4 4.518559-3 1.843105+4 5.011872-3 1.279685+4 5.559043-3 8.826513+3 6.237348-3 5.796931+3 7.079458-3 3.616970+3 8.035261-3 2.235768+3 9.120108-3 1.369421+3 1.023293-2 8.702931+2 1.150000-2 5.456256+2 1.288250-2 3.441711+2 1.445440-2 2.143014+2 1.621810-2 1.326389+2 1.840772-2 7.775406+1 2.113489-2 4.307112+1 2.426610-2 2.368616+1 2.818383-2 1.230034+1 3.311311-2 6.026818+0 3.981072-2 2.644880+0 4.954502-2 9.857529-1 7.328245-2 1.666869-1 8.317638-2 9.393447-2 1.188502-1 1.882988-2 1.380384-1 9.658513-3 1.513561-1 6.433725-3 1.819701-1 2.887622-3 2.018366-1 1.853870-3 2.238721-1 1.198499-3 2.483133-1 7.801144-4 2.851018-1 4.440941-4 3.126079-1 3.070359-4 3.402400-1 2.202519-4 3.672823-1 1.644122-4 3.981072-1 1.216892-4 4.318900-1 9.047472-5 4.677351-1 6.827449-5 5.069907-1 5.173437-5 5.688529-1 3.515523-5 6.165950-1 2.700050-5 6.683439-1 2.089101-5 7.161434-1 1.687700-5 7.673615-1 1.372326-5 8.222427-1 1.124345-5 8.810489-1 9.274545-6 9.225714-1 8.198644-6 9.660509-1 7.289854-6 1.011579+0 6.526593-6 1.059254+0 5.885655-6 1.109175+0 5.341926-6 1.174898+0 4.767870-6 1.258925+0 4.194159-6 1.364583+0 3.633559-6 1.513561+0 3.040658-6 1.840772+0 2.150633-6 2.044000+0 1.797729-6 2.344229+0 1.433018-6 2.691535+0 1.148176-6 3.090295+0 9.263073-7 3.589219+0 7.396565-7 4.168694+0 5.949946-7 4.897788+0 4.743031-7 5.821032+0 3.748182-7 6.918310+0 2.985369-7 8.317638+0 2.359202-7 1.023293+1 1.825570-7 1.273503+1 1.404286-7 1.600000+1 1.076300-7 2.113489+1 7.854301-8 2.754229+1 5.864898-8 3.981072+1 3.942797-8 5.754399+1 2.672982-8 9.225714+1 1.638244-8 1.737801+2 8.577896-9 3.467369+2 4.267037-9 6.918310+2 2.130041-9 5.495409+3 2.67217-10 1.000000+5 1.46780-11 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 5.561300-4 1.843900-4 1.000000+5 1.843900-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 5.561300-4 1.273000-7 1.000000+5 1.273000-7 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 5.561300-4 3.716127-4 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 4.286300-4 4.303313+4 5.754399-4 3.217995+4 6.237348-4 2.980246+4 8.128305-4 2.272998+4 9.225714-4 1.973817+4 1.047129-3 1.705119+4 1.174898-3 1.480210+4 1.350000-3 1.239348+4 1.548817-3 1.030918+4 1.778279-3 8.512718+3 2.113489-3 6.638752+3 2.570396-3 4.960573+3 3.126079-3 3.672773+3 3.801894-3 2.698934+3 4.623810-3 1.968433+3 5.559043-3 1.452743+3 6.760830-3 1.043831+3 8.128305-3 7.589150+2 9.772372-3 5.476534+2 1.188502-2 3.840822+2 1.445440-2 2.671290+2 1.737801-2 1.883381+2 2.089296-2 1.317648+2 2.511886-2 9.147620+1 3.019952-2 6.301023+1 3.630781-2 4.305848+1 4.315191-2 2.991546+1 5.188000-2 2.013052+1 6.237348-2 1.344143+1 7.498942-2 8.907521+0 9.120108-2 5.709804+0 1.122019-1 3.538482+0 1.445440-1 1.955085+0 2.722701-1 4.388541-1 3.388442-1 2.636905-1 4.027170-1 1.775356-1 4.786301-1 1.205334-1 5.623413-1 8.460208-2 6.531306-1 6.135763-2 7.585776-1 4.483112-2 8.810489-1 3.298056-2 1.000000+0 2.561090-2 1.216186+0 1.748627-2 1.380384+0 1.375912-2 1.548817+0 1.113657-2 1.757924+0 8.892070-3 2.000000+0 7.123696-3 2.290868+0 5.683469-3 2.630268+0 4.548611-3 3.054921+0 3.601427-3 3.548134+0 2.874060-3 4.120975+0 2.310662-3 4.841724+0 1.841010-3 5.754399+0 1.454099-3 6.839116+0 1.157589-3 8.222427+0 9.143727-4 1.011579+1 7.072419-4 1.258925+1 5.438263-4 1.566751+1 4.212077-4 2.065380+1 3.078698-4 2.722701+1 2.268592-4 3.935501+1 1.524816-4 5.688529+1 1.033440-4 9.120108+1 6.332923-5 1.717908+2 3.315350-5 3.427678+2 1.649042-5 6.839116+2 8.231214-6 5.432503+3 1.032617-6 1.000000+5 5.607200-8 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 4.286300-4 2.211500-4 1.000000+5 2.211500-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.286300-4 1.415700-8 1.000000+5 1.415700-8 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.286300-4 2.074658-4 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 3.527600-4 1.484556+5 3.530500-4 1.468244+5 3.536000-4 1.418770+5 3.542000-4 1.375012+5 3.548134-4 1.338110+5 3.556000-4 1.299314+5 3.567000-4 1.257180+5 3.579000-4 1.221312+5 3.590000-4 1.195198+5 3.610000-4 1.158280+5 3.637000-4 1.120488+5 3.680000-4 1.073452+5 3.801894-4 9.595209+4 3.950000-4 8.359660+4 4.280000-4 6.367500+4 4.570882-4 5.212420+4 4.850000-4 4.378560+4 5.080000-4 3.841760+4 5.300000-4 3.432840+4 5.500000-4 3.132320+4 5.727800-4 2.853625+4 6.000000-4 2.585940+4 6.309573-4 2.343129+4 6.606934-4 2.155388+4 6.918310-4 1.995992+4 7.244360-4 1.861246+4 7.585776-4 1.746837+4 8.035261-4 1.625487+4 8.609938-4 1.502491+4 9.332543-4 1.381669+4 1.035142-3 1.251966+4 1.445440-3 9.257284+3 1.659587-3 8.109698+3 1.883649-3 7.133227+3 2.150000-3 6.190600+3 2.426610-3 5.396972+3 2.754229-3 4.641314+3 3.126079-3 3.962167+3 3.548134-3 3.357331+3 4.027170-3 2.824666+3 4.570882-3 2.359115+3 5.188000-3 1.955818+3 5.888437-3 1.609475+3 6.683439-3 1.314448+3 7.500000-3 1.086118+3 8.413951-3 8.923133+2 9.500000-3 7.203380+2 1.071519-2 5.787922+2 1.216186-2 4.566068+2 1.380384-2 3.577115+2 1.566751-2 2.783176+2 1.798871-2 2.100345+2 2.065380-2 1.572470+2 2.371374-2 1.168016+2 2.722701-2 8.610419+1 3.126079-2 6.300841+1 3.630781-2 4.456446+1 4.216965-2 3.127394+1 4.897788-2 2.178544+1 5.754399-2 1.464419+1 6.839116-2 9.492436+0 8.222426-2 5.930483+0 1.023293-1 3.361691+0 1.380384-1 1.529862+0 2.426610-1 3.450538-1 2.985383-1 2.009908-1 3.548134-1 1.290172-1 4.120975-1 8.846378-2 4.731513-1 6.287255-2 5.370318-1 4.628229-2 6.095369-1 3.431812-2 6.918310-1 2.565764-2 7.762471-1 1.983741-2 8.709636-1 1.541949-2 9.549926-1 1.269262-2 1.035142+0 1.078127-2 1.174898+0 8.404730-3 1.303167+0 6.898035-3 1.479108+0 5.461137-3 1.698244+0 4.262964-3 1.927525+0 3.421464-3 2.213095+0 2.713644-3 2.540973+0 2.167956-3 2.917427+0 1.744108-3 3.388442+0 1.388589-3 3.935501+0 1.113882-3 4.623810+0 8.855120-4 5.495409+0 6.980038-4 6.456542+0 5.629505-4 7.762471+0 4.436550-4 9.440609+0 3.472586-4 1.148154+1 2.737671-4 1.428894+1 2.113920-4 1.800000+1 1.621700-4 2.344229+1 1.206216-4 3.126079+1 8.809122-5 4.415704+1 6.085838-5 6.606934+1 3.987946-5 1.083927+2 2.392410-5 2.137962+2 1.197934-5 4.265795+2 5.967127-6 1.698244+3 1.491575-6 1.000000+5 2.529400-8 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 3.527600-4 2.020300-4 1.000000+5 2.020300-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.527600-4 2.841400-8 1.000000+5 2.841400-8 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.527600-4 1.507016-4 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.603600-4 3.295200+5 2.750000-4 3.006089+5 2.851018-4 2.840812+5 3.162278-4 2.452816+5 3.672823-4 2.052363+5 3.935501-4 1.904077+5 5.370318-4 1.383199+5 6.200000-4 1.185604+5 7.079458-4 1.020942+5 8.035261-4 8.784753+4 9.120108-4 7.503457+4 1.035142-3 6.362138+4 1.174898-3 5.355321+4 1.333521-3 4.477081+4 1.531087-3 3.655353+4 1.757924-3 2.962227+4 2.041738-3 2.340386+4 2.371374-3 1.834855+4 2.754229-3 1.427858+4 3.198895-3 1.103126+4 3.715352-3 8.461240+3 4.315191-3 6.441349+3 5.011872-3 4.865160+3 5.754399-3 3.727561+3 6.606934-3 2.835782+3 7.585776-3 2.140980+3 8.709636-3 1.604485+3 1.000000-2 1.192952+3 1.148154-2 8.802891+2 1.318257-2 6.446538+2 1.513561-2 4.684941+2 1.737801-2 3.378567+2 2.000000-2 2.404280+2 2.290868-2 1.717578+2 2.630268-2 1.210737+2 3.019952-2 8.472196+1 3.467369-2 5.885840+1 4.027170-2 3.936106+1 4.677351-2 2.611438+1 5.432503-2 1.720118+1 6.309573-2 1.125355+1 7.498942-2 6.844012+0 9.120108-2 3.864016+0 1.083927-1 2.318515+0 2.162719-1 2.944302-1 2.630268-1 1.652817-1 3.090295-1 1.034628-1 3.548134-1 6.970908-2 4.027170-1 4.885373-2 4.570882-1 3.448533-2 5.128614-1 2.529741-2 5.754399-1 1.868904-2 6.382635-1 1.432746-2 7.079458-1 1.105704-2 7.852356-1 8.589563-3 8.709636-1 6.689037-3 9.332543-1 5.697084-3 9.885531-1 5.013230-3 1.059254+0 4.334378-3 1.148154+0 3.687731-3 1.250000+0 3.134400-3 1.380384+0 2.612893-3 1.757924+0 1.698934-3 1.972423+0 1.392556-3 2.264644+0 1.106118-3 2.630268+0 8.686631-4 3.019952+0 6.999372-4 3.507519+0 5.582453-4 4.073803+0 4.485572-4 4.786301+0 3.571925-4 5.688529+0 2.819861-4 6.760830+0 2.243720-4 8.128305+0 1.771437-4 1.000000+1 1.369600-4 1.244515+1 1.052676-4 1.548817+1 8.150181-5 2.018366+1 6.032519-5 2.660725+1 4.441877-5 3.845918+1 2.983967-5 5.559043+1 2.021439-5 8.810489+1 1.253009-5 1.621810+2 6.712234-6 3.235937+2 3.337129-6 6.456542+2 1.665166-6 5.128614+3 2.088551-7 1.000000+5 1.070700-8 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.603600-4 1.456700-4 1.000000+5 1.456700-4 1 99000 7 7 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.603600-4 4.479300-9 1.000000+5 4.479300-9 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.603600-4 1.146855-4 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.481700-4 5.277242+5 1.484000-4 5.388760+5 1.491000-4 5.696520+5 1.500000-4 6.164920+5 1.525000-4 7.749520+5 1.535000-4 8.443120+5 1.545000-4 9.138520+5 1.555000-4 9.816160+5 1.563000-4 1.033256+6 1.572000-4 1.087396+6 1.580000-4 1.131228+6 1.587000-4 1.165728+6 1.595000-4 1.200388+6 1.605000-4 1.236312+6 1.615000-4 1.263984+6 1.623000-4 1.280360+6 1.631000-4 1.291864+6 1.643000-4 1.300872+6 1.656400-4 1.300597+6 1.670000-4 1.291412+6 1.685000-4 1.273200+6 1.705000-4 1.239540+6 1.730000-4 1.188612+6 1.760000-4 1.121724+6 1.800000-4 1.031516+6 1.850000-4 9.240320+5 1.905461-4 8.146866+5 1.960100-4 7.174953+5 2.018366-4 6.253974+5 2.264644-4 3.568798+5 2.350000-4 2.993776+5 2.450600-4 2.470370+5 2.540973-4 2.107688+5 2.620000-4 1.854740+5 2.691535-4 1.667348+5 2.754229-4 1.530148+5 2.830000-4 1.392568+5 2.900000-4 1.288552+5 2.951209-4 1.224353+5 3.019952-4 1.151643+5 3.090295-4 1.090852+5 3.162278-4 1.040553+5 3.240000-4 9.974160+4 3.320000-4 9.629200+4 3.390000-4 9.394440+4 3.470000-4 9.188240+4 3.550000-4 9.035560+4 3.650000-4 8.903640+4 3.780000-4 8.805400+4 3.935501-4 8.763455+4 4.120975-4 8.781074+4 4.954502-4 9.057028+4 5.308844-4 9.107891+4 5.688529-4 9.094384+4 6.025596-4 9.025847+4 6.382635-4 8.905515+4 6.760830-4 8.736865+4 7.161434-4 8.523177+4 7.673615-4 8.214240+4 8.222426-4 7.858224+4 8.810489-4 7.464464+4 9.500000-4 7.004160+4 1.023293-3 6.529608+4 1.110000-3 6.000360+4 1.202264-3 5.481195+4 1.303167-3 4.967545+4 1.412538-3 4.471426+4 1.548817-3 3.934764+4 1.698244-3 3.434488+4 1.850000-3 3.007156+4 2.041738-3 2.560726+4 2.264644-3 2.144451+4 2.483133-3 1.818880+4 2.722701-3 1.533371+4 3.019952-3 1.256094+4 3.349654-3 1.021068+4 3.715352-3 8.237815+3 4.120975-3 6.596877+3 4.570882-3 5.243710+3 5.069907-3 4.136972+3 5.623413-3 3.239974+3 6.237348-3 2.519173+3 6.918310-3 1.944771+3 7.673615-3 1.490706+3 8.511380-3 1.135019+3 9.440609-3 8.584627+2 1.059254-2 6.246821+2 1.188502-2 4.510387+2 1.333521-2 3.232128+2 1.500000-2 2.282034+2 1.678804-2 1.624029+2 1.883649-2 1.139298+2 2.137962-2 7.655414+1 2.426610-2 5.104528+1 2.754229-2 3.379461+1 3.162278-2 2.138751+1 3.630781-2 1.343692+1 4.216965-2 8.060484+0 4.954502-2 4.612879+0 5.956621-2 2.417761+0 7.328245-2 1.161816+0 8.912509-2 5.771465-1 1.023293-1 3.504052-1 1.288250-1 1.515763-1 1.496236-1 8.897000-2 1.757924-1 5.051820-2 2.371374-1 1.784518-2 2.754229-1 1.068230-2 3.126079-1 6.969006-3 3.507519-1 4.758737-3 3.935501-1 3.272293-3 4.365158-1 2.351388-3 4.841724-1 1.701290-3 5.370318-1 1.239943-3 5.888437-1 9.426178-4 6.382635-1 7.469586-4 6.998420-1 5.769236-4 7.673615-1 4.487256-4 8.035261-1 3.964605-4 8.609938-1 3.279479-4 9.120108-1 2.817870-4 9.549926-1 2.510211-4 1.000000+0 2.250300-4 1.047129+0 2.030986-4 1.109175+0 1.799501-4 1.174898+0 1.605312-4 1.258925+0 1.409946-4 1.364583+0 1.220651-4 1.531087+0 9.998118-5 1.840772+0 7.218341-5 2.065380+0 5.929290-5 2.371374+0 4.720077-5 2.722701+0 3.784232-5 3.162278+0 3.001811-5 3.672823+0 2.399704-5 4.265795+0 1.932537-5 5.011872+0 1.542142-5 5.956621+0 1.219849-5 7.161434+0 9.582028-6 8.609938+0 7.583267-6 1.059254+1 5.875679-6 1.348963+1 4.404218-6 1.698244+1 3.374661-6 2.238721+1 2.472500-6 2.884032+1 1.872475-6 4.120975+1 1.275583-6 6.025596+1 8.550313-7 9.660509+1 5.244500-7 1.883649+2 2.652799-7 3.758374+2 1.320371-7 1.496236+3 3.298893-8 1.000000+5 4.92670-10 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.481700-4 1.481700-4 1.000000+5 1.481700-4 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.481700-4 0.0 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 1.344800-4 7.976885+5 1.348963-4 8.462942+5 1.360000-4 9.701460+5 1.370000-4 1.089330+6 1.378000-4 1.186482+6 1.387000-4 1.296096+6 1.395400-4 1.396895+6 1.402000-4 1.473954+6 1.410000-4 1.563666+6 1.418000-4 1.648152+6 1.427000-4 1.735644+6 1.435000-4 1.805592+6 1.443000-4 1.867446+6 1.452000-4 1.926678+6 1.462177-4 1.980123+6 1.470000-4 2.011458+6 1.480000-4 2.039640+6 1.490000-4 2.055348+6 1.500000-4 2.059782+6 1.513561-4 2.050275+6 1.525000-4 2.030748+6 1.540000-4 1.992816+6 1.555000-4 1.944702+6 1.570000-4 1.889844+6 1.590000-4 1.810722+6 1.621810-4 1.680333+6 1.659587-4 1.529452+6 1.717908-4 1.317315+6 1.780000-4 1.121628+6 1.850800-4 9.328141+5 2.080000-4 5.260926+5 2.162719-4 4.373337+5 2.240000-4 3.732084+5 2.300000-4 3.332454+5 2.359100-4 3.006364+5 2.426610-4 2.700929+5 2.483133-4 2.490542+5 2.540973-4 2.310720+5 2.600160-4 2.157886+5 2.660725-4 2.028886+5 2.722701-4 1.920899+5 2.786121-4 1.831426+5 2.851018-4 1.758238+5 2.917427-4 1.699317+5 2.985383-4 1.652847+5 3.054921-4 1.617166+5 3.130000-4 1.589526+5 3.200000-4 1.571880+5 3.311311-4 1.555977+5 3.430000-4 1.550574+5 3.600000-4 1.555266+5 4.350000-4 1.614042+5 4.677351-4 1.626225+5 5.000000-4 1.625340+5 5.308844-4 1.613823+5 5.650000-4 1.591074+5 6.025596-4 1.556540+5 6.456542-4 1.508237+5 6.918310-4 1.450299+5 7.413102-4 1.384257+5 8.000000-4 1.304148+5 8.609938-4 1.222388+5 9.225714-4 1.142624+5 1.000000-3 1.048578+5 1.083927-3 9.551298+4 1.174898-3 8.638619+4 1.273503-3 7.762043+4 1.400000-3 6.789960+4 1.513561-3 6.042832+4 1.659587-3 5.231352+4 1.850000-3 4.371912+4 2.041738-3 3.683964+4 2.238721-3 3.118962+4 2.454709-3 2.624363+4 2.722701-3 2.145198+4 3.054921-3 1.699323+4 3.400000-3 1.357212+4 3.758374-3 1.091715+4 4.168694-3 8.656796+3 4.623810-3 6.811584+3 5.128614-3 5.318942+3 5.688529-3 4.123941+3 6.309573-3 3.174271+3 7.000000-3 2.424438+3 7.762471-3 1.841004+3 8.609938-3 1.387383+3 9.549926-3 1.038505+3 1.071519-2 7.471129+2 1.202264-2 5.333265+2 1.348963-2 3.777608+2 1.513561-2 2.653878+2 1.698244-2 1.850443+2 1.905461-2 1.281028+2 2.162719-2 8.481360+1 2.454709-2 5.571782+1 2.786121-2 3.633360+1 3.162278-2 2.352712+1 3.630781-2 1.453537+1 4.216965-2 8.558482+0 4.954502-2 4.798122+0 5.888437-2 2.560027+0 7.161434-2 1.246614+0 8.810489-2 5.771256-1 1.023293-1 3.291997-1 1.273503-1 1.442534-1 1.445440-1 9.038527-2 1.659587-1 5.468259-2 1.927525-1 3.196052-2 2.317395-1 1.657523-2 2.630268-1 1.062557-2 2.951209-1 7.141876-3 3.273407-1 5.029651-3 3.630781-1 3.567041-3 4.027170-1 2.549099-3 4.415705-1 1.904321-3 4.841724-1 1.432292-3 5.308844-1 1.084817-3 5.821032-1 8.277732-4 6.309573-1 6.579702-4 6.918310-1 5.101859-4 7.585776-1 3.986676-4 8.709636-1 2.772022-4 9.225714-1 2.397966-4 9.660509-1 2.146976-4 1.011579+0 1.933445-4 1.071519+0 1.708739-4 1.135011+0 1.519884-4 1.216186+0 1.329981-4 1.318257+0 1.146748-4 1.840772+0 6.361656-5 2.065380+0 5.226271-5 2.371374+0 4.160374-5 2.722701+0 3.335510-5 3.126079+0 2.692712-5 3.630781+0 2.151410-5 4.216965+0 1.731584-5 4.954502+0 1.381014-5 5.888437+0 1.091920-5 7.000000+0 8.698700-6 8.413951+0 6.879638-6 1.035142+1 5.325866-6 1.303167+1 4.043076-6 1.621810+1 3.135249-6 2.137962+1 2.293996-6 2.800000+1 1.704300-6 4.027170+1 1.152260-6 5.888437+1 7.720009-7 9.440609+1 4.733389-7 1.798871+2 2.450283-7 3.589219+2 1.219146-7 1.428894+3 3.045063-8 9.015711+4 4.81663-10 1.000000+5 4.34260-10 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 1.344800-4 1.344800-4 1.000000+5 1.344800-4 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 1.344800-4 0.0 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.500000+1 0.0 0.0 0.0 1.154000-5 1.618638+6 1.160000-5 1.584845+6 1.202264-5 1.457591+6 1.245000-5 1.353402+6 1.280000-5 1.283013+6 1.324700-5 1.209069+6 1.364583-5 1.155683+6 1.412538-5 1.104780+6 1.462177-5 1.064228+6 1.500000-5 1.040741+6 1.550000-5 1.018089+6 1.603245-5 1.003298+6 1.650000-5 9.972043+5 1.698244-5 9.967985+5 1.750000-5 1.002480+6 1.800000-5 1.013421+6 1.862087-5 1.033822+6 1.927525-5 1.062908+6 2.000000-5 1.103469+6 2.070000-5 1.150475+6 2.153200-5 1.215594+6 2.238721-5 1.292652+6 2.330000-5 1.385101+6 2.454709-5 1.527941+6 2.600160-5 1.716923+6 2.800000-5 2.012431+6 3.349654-5 2.989207+6 3.589219-5 3.458798+6 3.801894-5 3.880735+6 4.027170-5 4.324478+6 4.220000-5 4.695480+6 4.415704-5 5.058806+6 4.677351-5 5.521734+6 4.954502-5 5.984929+6 5.248075-5 6.443500+6 5.559043-5 6.893155+6 5.900000-5 7.346325+6 6.237348-5 7.747277+6 6.531306-5 8.050171+6 6.839116-5 8.316588+6 7.161434-5 8.532522+6 7.413102-5 8.650541+6 7.673615-5 8.724236+6 7.943282-5 8.750140+6 8.222426-5 8.724682+6 8.511380-5 8.643837+6 8.810489-5 8.505860+6 9.120108-5 8.312616+6 9.440609-5 8.066474+6 9.772372-5 7.768226+6 1.010000-4 7.436368+6 1.040000-4 7.106368+6 1.071519-4 6.740229+6 1.100000-4 6.395924+6 1.128000-4 6.047821+6 1.161449-4 5.625020+6 1.190000-4 5.263929+6 1.220000-4 4.889284+6 1.250000-4 4.522645+6 1.280000-4 4.166636+6 1.315000-4 3.768636+6 1.350000-4 3.393605+6 1.380384-4 3.088723+6 1.415000-4 2.765308+6 1.450000-4 2.463957+6 1.490000-4 2.150989+6 1.531087-4 1.863788+6 1.566751-4 1.641082+6 1.603245-4 1.436604+6 1.640590-4 1.249856+6 1.678804-4 1.080534+6 1.720000-4 9.206207+5 1.760000-4 7.854809+5 1.800000-4 6.678452+5 1.840772-4 5.639248+5 1.880000-4 4.775576+5 1.915000-4 4.105798+5 1.956200-4 3.424903+5 1.995262-4 2.873426+5 2.020000-4 2.566205+5 2.060000-4 2.130996+5 2.100000-4 1.763691+5 2.137962-4 1.470015+5 2.170000-4 1.258640+5 2.220000-4 9.863379+4 2.315000-4 6.260389+4 2.350000-4 5.350861+4 2.380000-4 4.717401+4 2.407000-4 4.249852+4 2.430000-4 3.920625+4 2.450000-4 3.681530+4 2.465000-4 3.528924+4 2.485000-4 3.358620+4 2.500000-4 3.254185+4 2.515000-4 3.168441+4 2.530000-4 3.100292+4 2.545200-4 3.048118+4 2.560000-4 3.012667+4 2.575000-4 2.991259+4 2.590000-4 2.983570+4 2.610000-4 2.993202+4 2.630268-4 3.024352+4 2.650000-4 3.073599+4 2.670000-4 3.140905+4 2.691535-4 3.231164+4 2.722701-4 3.390866+4 2.754229-4 3.582874+4 2.800000-4 3.906991+4 2.951209-4 5.233054+4 3.019952-4 5.905221+4 3.080000-4 6.503693+4 3.130000-4 7.003644+4 3.180000-4 7.500860+4 3.235937-4 8.048411+4 3.300000-4 8.657086+4 3.360000-4 9.205028+4 3.427678-4 9.796325+4 3.507519-4 1.045561+5 3.589219-4 1.108271+5 3.672823-4 1.167148+5 3.758374-4 1.221688+5 3.845918-4 1.271516+5 3.935501-4 1.316383+5 4.073803-4 1.376298+5 4.168694-4 1.411376+5 4.315191-4 1.454709+5 4.466836-4 1.486863+5 4.623810-4 1.508130+5 4.786301-4 1.519111+5 4.954502-4 1.520668+5 5.188000-4 1.513033+5 5.370318-4 1.498953+5 5.559043-4 1.477979+5 5.821032-4 1.440683+5 6.095369-4 1.394971+5 6.382635-4 1.342911+5 6.683439-4 1.285180+5 7.079458-4 1.207320+5 7.498942-4 1.125673+5 7.943282-4 1.042030+5 8.413951-4 9.583448+4 8.912509-4 8.759175+4 9.440609-4 7.959248+4 1.011579-3 7.043785+4 1.083927-3 6.188761+4 1.161449-3 5.399810+4 1.244515-3 4.680423+4 1.333521-3 4.031611+4 1.445440-3 3.362392+4 1.566751-3 2.784400+4 1.698244-3 2.290351+4 1.840772-3 1.872028+4 2.000000-3 1.510499+4 2.187762-3 1.188789+4 2.398833-3 9.228145+3 2.630268-3 7.113155+3 2.884032-3 5.447592+3 3.162278-3 4.144338+3 3.467369-3 3.131492+3 3.801894-3 2.349563+3 4.168694-3 1.750144+3 4.518559-3 1.343661+3 5.011872-3 9.486330+2 5.688529-3 6.144628+2 6.309573-3 4.278539+2 7.019000-3 2.928302+2 7.762471-3 2.031148+2 8.609938-3 1.384528+2 9.660509-3 8.974421+1 1.083927-2 5.771662+1 1.216186-2 3.684152+1 1.364583-2 2.334915+1 1.548817-2 1.402786+1 1.757924-2 8.362493+0 1.995262-2 4.949009+0 2.290868-2 2.770407+0 2.630268-2 1.539450+0 3.054921-2 8.086462-1 3.630781-2 3.815762-1 4.415704-2 1.615921-1 6.760830-2 2.461849-2 9.772372-2 4.795201-3 1.188502-1 1.999909-3 1.303167-1 1.331880-3 1.445440-1 8.510154-4 1.621810-1 5.211445-4 1.840772-1 3.061795-4 2.290868-1 1.233544-4 2.570396-1 7.694985-5 2.884032-1 4.834722-5 3.198895-1 3.205374-5 3.548134-1 2.140813-5 3.935501-1 1.440802-5 4.315191-1 1.020288-5 4.731513-1 7.274023-6 5.248075-1 5.009464-6 5.688529-1 3.773401-6 6.025596-1 3.098197-6 6.456542-1 2.471751-6 6.998420-1 1.914607-6 8.035261-1 1.251663-6 8.511380-1 1.038339-6 8.912509-1 8.987006-7 9.332543-1 7.830106-7 9.660509-1 7.100420-7 1.000000+0 6.475300-7 1.035142+0 5.942641-7 1.071519+0 5.485038-7 1.109175+0 5.088512-7 1.161449+0 4.635670-7 1.216186+0 4.250566-7 1.303167+0 3.761642-7 1.412538+0 3.288437-7 1.500000+0 2.984100-7 1.905461+0 1.957127-7 2.113489+0 1.641618-7 2.426610+0 1.308357-7 2.786121+0 1.050224-7 3.235937+0 8.341371-8 3.758374+0 6.675882-8 4.365158+0 5.382045-8 5.188000+0 4.231590-8 6.165950+0 3.352830-8 7.413102+0 2.637347-8 8.912509+0 2.090203-8 1.096478+1 1.621556-8 1.380384+1 1.233588-8 1.717908+1 9.584534-9 2.264644+1 7.024377-9 2.917427+1 5.321097-9 4.168694+1 3.625940-9 6.095369+1 2.431048-9 9.772372+1 1.491358-9 1.905461+2 7.54494-10 3.801894+2 3.75571-10 1.513561+3 9.38378-11 1.000000+5 1.41770-12 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.500000+1 0.0 0.0 0.0 1.154000-5 1.154000-5 1.000000+5 1.154000-5 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.500000+1 0.0 0.0 0.0 1.154000-5 0.0 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.600000+1 0.0 0.0 0.0 9.610000-6 2.854435+6 9.630000-6 2.807192+6 9.660509-6 2.772326+6 9.690000-6 2.759402+6 1.000000-5 2.540640+6 1.023293-5 2.401392+6 1.050000-5 2.264383+6 1.085000-5 2.114016+6 1.122018-5 1.985760+6 1.161449-5 1.875404+6 1.202264-5 1.785185+6 1.244515-5 1.712765+6 1.288250-5 1.656077+6 1.333521-5 1.613731+6 1.380384-5 1.584696+6 1.428894-5 1.568201+6 1.480000-5 1.563709+6 1.531087-5 1.570647+6 1.590000-5 1.590976+6 1.650000-5 1.623643+6 1.717908-5 1.673499+6 1.778279-5 1.728126+6 1.850000-5 1.804407+6 1.927525-5 1.899686+6 2.018366-5 2.026896+6 2.113489-5 2.176698+6 2.238721-5 2.397477+6 2.371374-5 2.658377+6 2.580000-5 3.117744+6 3.126079-5 4.526767+6 3.349654-5 5.146308+6 3.589219-5 5.810080+6 3.801894-5 6.386543+6 4.027170-5 6.970180+6 4.265795-5 7.554489+6 4.518559-5 8.134520+6 4.800000-5 8.728337+6 5.150000-5 9.400468+6 5.500000-5 1.000415+7 5.888437-5 1.058669+7 6.237348-5 1.103074+7 6.531306-5 1.133228+7 6.839116-5 1.156928+7 7.161434-5 1.172901+7 7.413102-5 1.178500+7 7.673615-5 1.177763+7 7.943282-5 1.170525+7 8.222426-5 1.156713+7 8.511380-5 1.135929+7 8.810489-5 1.107908+7 9.150000-5 1.069784+7 9.440609-5 1.032836+7 9.772372-5 9.861337+6 1.010000-4 9.361496+6 1.040000-4 8.881771+6 1.071519-4 8.362213+6 1.100000-4 7.881463+6 1.128000-4 7.403246+6 1.161449-4 6.834462+6 1.190000-4 6.357556+6 1.220000-4 5.868087+6 1.250000-4 5.393435+6 1.280000-4 4.938148+6 1.315000-4 4.437058+6 1.350000-4 3.970702+6 1.380384-4 3.593865+6 1.415000-4 3.196541+6 1.450000-4 2.830235+6 1.490000-4 2.454224+6 1.520000-4 2.199873+6 1.560000-4 1.894557+6 1.600000-4 1.625529+6 1.640590-4 1.386881+6 1.678804-4 1.190450+6 1.717908-4 1.014478+6 1.757924-4 8.579337+5 1.798871-4 7.200228+5 1.835000-4 6.149360+5 1.865000-4 5.380945+5 1.900000-4 4.590875+5 1.940000-4 3.813817+5 1.980000-4 3.156074+5 2.018366-4 2.623113+5 2.050000-4 2.246525+5 2.090000-4 1.841311+5 2.137962-4 1.446370+5 2.250000-4 8.298457+4 2.284300-4 7.079288+4 2.308000-4 6.383076+4 2.330000-4 5.833359+4 2.350000-4 5.407892+4 2.371374-4 5.025210+4 2.390000-4 4.747748+4 2.405000-4 4.559503+4 2.420000-4 4.400619+4 2.435000-4 4.269317+4 2.450000-4 4.163893+4 2.465000-4 4.082738+4 2.483133-4 4.014885+4 2.500000-4 3.979408+4 2.515000-4 3.968665+4 2.535000-4 3.982588+4 2.550000-4 4.012697+4 2.573000-4 4.088905+4 2.595000-4 4.192895+4 2.620000-4 4.344218+4 2.647000-4 4.542865+4 2.670000-4 4.737508+4 2.710000-4 5.123350+4 2.851018-4 6.806279+4 2.917427-4 7.697372+4 2.985383-4 8.638127+4 3.019952-4 9.118743+4 3.054921-4 9.600226+4 3.090295-4 1.008413+5 3.126079-4 1.056887+5 3.162278-4 1.105287+5 3.198895-4 1.153452+5 3.235937-4 1.201228+5 3.311311-4 1.295003+5 3.388442-4 1.385456+5 3.467369-4 1.471539+5 3.548134-4 1.552350+5 3.630781-4 1.627148+5 3.715352-4 1.695373+5 3.801894-4 1.756651+5 3.890451-4 1.810792+5 4.073803-4 1.903343+5 4.168694-4 1.943313+5 4.315191-4 1.990042+5 4.466836-4 2.021245+5 4.623810-4 2.037747+5 4.786301-4 2.040771+5 4.954502-4 2.031835+5 5.188000-4 2.009679+5 5.370318-4 1.983196+5 5.623413-4 1.935099+5 5.888437-4 1.874651+5 6.165950-4 1.805029+5 6.456542-4 1.728089+5 6.839116-4 1.623890+5 7.244360-4 1.514381+5 7.673615-4 1.402481+5 8.128305-4 1.290146+5 8.609938-4 1.179484+5 9.120108-4 1.072000+5 9.792700-4 9.454303+4 1.047129-3 8.348761+4 1.122018-3 7.293402+4 1.202264-3 6.327187+4 1.273503-3 5.588688+4 1.364583-3 4.784673+4 1.479108-3 3.962955+4 1.621810-3 3.172801+4 1.757924-3 2.594542+4 1.905461-3 2.107697+4 2.065380-3 1.699594+4 2.264644-3 1.319274+4 2.483133-3 1.016870+4 2.917427-3 6.372273+3 3.198895-3 4.847268+3 3.507519-3 3.661249+3 3.758374-3 2.949679+3 4.073803-3 2.269171+3 4.466836-3 1.668412+3 4.897788-3 1.217728+3 5.432503-3 8.480819+2 6.456542-3 4.586748+2 7.161434-3 3.152285+2 8.000000-3 2.095782+2 8.912509-3 1.396122+2 9.885531-3 9.391648+1 1.109175-2 6.000260+1 1.244515-2 3.804584+1 1.396368-2 2.394947+1 1.566751-2 1.497179+1 1.778279-2 8.862250+0 2.018366-2 5.206615+0 2.290868-2 3.036852+0 2.630268-2 1.674197+0 3.054921-2 8.715405-1 3.589219-2 4.280453-1 4.315191-2 1.884384-1 6.382635-2 3.253124-2 8.912509-2 7.209751-3 1.188502-1 1.951261-3 1.303167-1 1.290432-3 1.445440-1 8.183720-4 1.603245-1 5.225579-4 1.798871-1 3.197558-4 2.213095-1 1.337248-4 2.454709-1 8.702497-5 2.722701-1 5.703622-5 3.000000-1 3.868800-5 3.273407-1 2.748260-5 3.589219-1 1.929464-5 3.890451-1 1.425304-5 4.216965-1 1.060031-5 4.570882-1 7.938146-6 4.954502-1 5.986021-6 5.370318-1 4.543868-6 5.754399-1 3.610333-6 6.095369-1 2.997075-6 6.531306-1 2.416852-6 6.998420-1 1.961649-6 7.585776-1 1.548770-6 8.035261-1 1.312551-6 8.511380-1 1.107127-6 9.015711-1 9.400937-7 9.440609-1 8.301551-7 9.885531-1 7.383190-7 1.035142+0 6.620839-7 1.083927+0 5.981870-7 1.135011+0 5.439332-7 1.202264+0 4.865999-7 1.303167+0 4.204061-7 1.428894+0 3.588578-7 1.513561+0 3.256098-7 1.862087+0 2.257925-7 2.065380+0 1.891522-7 2.371374+0 1.505575-7 2.722701+0 1.207121-7 3.162278+0 9.576217-8 3.672823+0 7.655620-8 4.265795+0 6.165270-8 5.011872+0 4.919769-8 5.956621+0 3.891779-8 7.161434+0 3.056900-8 8.609938+0 2.419246-8 1.059254+1 1.874498-8 1.333521+1 1.424177-8 1.659587+1 1.105243-8 2.200000+1 8.042200-9 2.851018+1 6.048705-9 4.073803+1 4.119610-9 5.956621+1 2.760733-9 9.549926+1 1.693044-9 1.840772+2 8.66330-10 3.672823+2 4.31134-10 1.462177+3 1.07700-10 4.623810+4 3.39881-12 1.000000+5 1.57180-12 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.600000+1 0.0 0.0 0.0 9.610000-6 9.610000-6 1.000000+5 9.610000-6 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.600000+1 0.0 0.0 0.0 9.610000-6 0.0 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 6.285000-5 4.642380+5 6.309573-5 4.624497+5 6.350000-5 4.573460+5 6.456542-5 4.391176+5 6.606934-5 4.121365+5 6.770000-5 3.829120+5 7.000000-5 3.439080+5 7.800000-5 2.399400+5 8.150000-5 2.084940+5 8.511380-5 1.825654+5 8.912509-5 1.596854+5 9.332543-5 1.406447+5 9.800000-5 1.237396+5 1.035142-4 1.079779+5 1.100000-4 9.352580+4 1.161449-4 8.275930+4 1.230269-4 7.319476+4 1.303167-4 6.522765+4 1.380384-4 5.859311+4 1.462177-4 5.304191+4 1.548817-4 4.834689+4 1.659587-4 4.357469+4 1.819701-4 3.826754+4 2.018366-4 3.332458+4 2.238721-4 2.923326+4 2.660725-4 2.375717+4 4.027170-4 1.450630+4 5.128614-4 1.077708+4 6.165950-4 8.524602+3 7.328245-4 6.798785+3 8.810489-4 5.298941+3 1.059254-3 4.096397+3 1.258925-3 3.195209+3 1.513561-3 2.432972+3 1.840772-3 1.807173+3 2.290868-3 1.285309+3 2.884032-3 8.905603+2 3.672823-3 6.010947+2 4.677351-3 4.025495+2 5.821032-3 2.780464+2 7.161434-3 1.943574+2 8.709636-3 1.375737+2 1.047129-2 9.869530+1 1.273503-2 6.866701+1 1.531087-2 4.845569+1 1.862087-2 3.315666+1 2.317395-2 2.152483+1 3.162278-2 1.153458+1 3.758374-2 8.100160+0 4.216965-2 6.365139+0 4.954502-2 4.506316+0 5.888437-2 3.089016+0 7.161434-2 1.998237+0 8.810489-2 1.249653+0 1.059254-1 8.177964-1 1.364583-1 4.522721-1 2.691535-1 9.102163-2 3.349654-1 5.467036-2 4.027170-1 3.584308-2 4.786301-1 2.433375-2 5.623413-1 1.707922-2 6.531306-1 1.238640-2 7.585776-1 9.050061-3 8.810489-1 6.657932-3 1.000000+0 5.170300-3 1.216186+0 3.530247-3 1.380384+0 2.777693-3 1.548817+0 2.248183-3 1.757924+0 1.795126-3 2.000000+0 1.438100-3 2.290868+0 1.147300-3 2.630268+0 9.182299-4 3.054921+0 7.270545-4 3.548134+0 5.802134-4 4.120975+0 4.664709-4 4.841724+0 3.716527-4 5.754399+0 2.935471-4 6.839116+0 2.336923-4 8.222427+0 1.845904-4 1.011579+1 1.427774-4 1.258925+1 1.097854-4 1.566751+1 8.503253-5 2.065380+1 6.215226-5 2.722701+1 4.579873-5 3.935501+1 3.078225-5 5.688529+1 2.086331-5 9.015711+1 1.293736-5 1.678804+2 6.851554-6 3.349654+2 3.407355-6 6.683439+2 1.700573-6 5.308844+3 2.133164-7 1.000000+5 1.132000-8 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 6.285000-5 6.285000-5 1.000000+5 6.285000-5 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 6.285000-5 0.0 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 4.002000-5 1.133638+7 4.027170-5 1.084896+7 4.080000-5 9.981120+6 4.130000-5 9.295000+6 4.200000-5 8.495500+6 4.265795-5 7.876356+6 4.350000-5 7.211000+6 4.420000-5 6.744040+6 4.518559-5 6.185923+6 4.650000-5 5.569400+6 4.800000-5 4.993240+6 5.011872-5 4.338490+6 5.370318-5 3.500458+6 6.309573-5 2.134663+6 7.943282-5 1.044784+6 8.912509-5 7.357121+5 1.083927-4 4.102694+5 1.531087-4 1.475517+5 1.819701-4 8.914133+4 2.089296-4 5.997482+4 2.344229-4 4.338673+4 2.600160-4 3.264195+4 2.818383-4 2.631159+4 3.054921-4 2.135156+4 3.311311-4 1.745755+4 3.548134-4 1.478784+4 3.801894-4 1.260654+4 4.073803-4 1.082617+4 4.365158-4 9.371601+3 4.623810-4 8.360841+3 4.954502-4 7.343376+3 5.308844-4 6.498086+3 5.688529-4 5.794989+3 6.095369-4 5.204328+3 6.606934-4 4.627376+3 7.161434-4 4.145150+3 7.852356-4 3.682976+3 8.709636-4 3.248213+3 1.000000-3 2.770020+3 1.513561-3 1.741272+3 1.819701-3 1.405433+3 2.113489-3 1.173078+3 2.454709-3 9.722087+2 2.851018-3 7.999413+2 3.311311-3 6.531637+2 3.801894-3 5.378885+2 4.365158-3 4.398869+2 5.011872-3 3.571395+2 5.623413-3 2.979397+2 6.456542-3 2.378987+2 7.328245-3 1.921777+2 8.413951-3 1.510529+2 9.660509-3 1.178487+2 1.135011-2 8.760017+1 1.303167-2 6.746847+1 1.500000-2 5.133454+1 1.717908-2 3.914398+1 1.949845-2 3.017382+1 2.187762-2 2.363695+1 2.511886-2 1.749817+1 2.884032-2 1.285656+1 3.311311-2 9.379312+0 3.845918-2 6.614120+0 4.466836-2 4.628307+0 5.248075-2 3.125893+0 6.165950-2 2.095161+0 7.328245-2 1.354046+0 8.912509-2 8.190475-1 1.083927-1 4.919138-1 1.479108-1 2.167296-1 2.344229-1 6.415070-2 2.884032-1 3.732663-2 3.427678-1 2.392695-2 4.027170-1 1.591476-2 4.623810-1 1.129811-2 5.308844-1 8.080602-3 6.025596-1 5.987394-3 6.839117-1 4.472989-3 7.673615-1 3.455832-3 8.709636-1 2.618988-3 9.549926-1 2.155869-3 1.035142+0 1.831050-3 1.174898+0 1.427471-3 1.303167+0 1.171639-3 1.479108+0 9.275330-4 1.698244+0 7.240501-4 1.927525+0 5.811226-4 2.213095+0 4.608685-4 2.540973+0 3.681974-4 2.917427+0 2.962291-4 3.388442+0 2.358392-4 3.935501+0 1.891761-4 4.623810+0 1.503952-4 5.495409+0 1.185537-4 6.456542+0 9.561511-5 7.762471+0 7.535093-5 9.440609+0 5.897900-5 1.148154+1 4.649721-5 1.428894+1 3.590333-5 1.800000+1 2.754400-5 2.344229+1 2.048707-5 3.090295+1 1.514973-5 4.365158+1 1.046310-5 6.531306+1 6.854885-6 1.059254+2 4.160459-6 2.113489+2 2.058436-6 4.216965+2 1.025307-6 1.678804+3 2.562733-7 1.000000+5 4.296000-9 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 4.002000-5 4.002000-5 1.000000+5 4.002000-5 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 4.002000-5 0.0 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 2.544000-5 3.293993+7 2.551000-5 3.204888+7 2.580000-5 2.960516+7 2.610000-5 2.741684+7 2.655000-5 2.465756+7 2.700000-5 2.237388+7 2.755000-5 2.005272+7 2.818383-5 1.786722+7 2.884032-5 1.600527+7 2.951209-5 1.441615+7 3.040000-5 1.268460+7 3.150000-5 1.096528+7 3.273407-5 9.435639+6 3.427678-5 7.939057+6 3.630781-5 6.448197+6 3.900000-5 5.018760+6 4.365158-5 3.413640+6 5.011872-5 2.145453+6 5.559043-5 1.524108+6 6.025596-5 1.175012+6 6.531306-5 9.124135+5 7.000000-5 7.390760+5 7.500000-5 6.035000+5 8.035261-5 4.968238+5 8.511380-5 4.250948+5 9.015711-5 3.660319+5 9.549926-5 3.172467+5 1.011579-4 2.767956+5 1.071519-4 2.431069+5 1.135011-4 2.148956+5 1.202264-4 1.911046+5 1.288250-4 1.672086+5 1.380384-4 1.473690+5 1.480000-4 1.306464+5 1.584893-4 1.168041+5 1.698244-4 1.049660+5 1.850000-4 9.264320+4 2.041738-4 8.086815+4 2.317395-4 6.848686+4 2.691535-4 5.674402+4 4.466836-4 3.067776+4 5.432503-4 2.402512+4 6.531306-4 1.894622+4 7.673615-4 1.528012+4 9.015711-4 1.223131+4 1.059254-3 9.717355+3 1.244515-3 7.659051+3 1.445440-3 6.093634+3 1.698244-3 4.727525+3 2.000000-3 3.625367+3 2.344229-3 2.780655+3 2.754229-3 2.108441+3 3.273407-3 1.555178+3 3.845918-3 1.161784+3 4.466836-3 8.797460+2 5.188000-3 6.613090+2 6.025596-3 4.933206+2 6.918310-3 3.737392+2 8.000000-3 2.770054+2 9.225714-3 2.047887+2 1.096478-2 1.407960+2 1.258925-2 1.036120+2 1.445440-2 7.567879+1 1.621810-2 5.783333+1 1.840772-2 4.272244+1 2.113489-2 3.047253+1 2.426610-2 2.157387+1 2.786121-2 1.516118+1 3.198895-2 1.057745+1 3.672823-2 7.327649+0 4.216965-2 5.041696+0 4.897788-2 3.337566+0 5.754399-2 2.123663+0 6.760830-2 1.340688+0 8.128305-2 7.861730-1 1.000000-1 4.277665-1 1.318257-1 1.879109-1 2.041738-1 5.087550-2 2.511886-1 2.755548-2 2.985383-1 1.665153-2 3.467369-1 1.084090-2 3.981072-1 7.349303-3 4.518559-1 5.184464-3 5.069907-1 3.800834-3 5.688529-1 2.806226-3 6.309573-1 2.150032-3 6.998420-1 1.658356-3 7.762471-1 1.287587-3 8.709636-1 9.755229-4 9.332543-1 8.309593-4 9.885531-1 7.312568-4 1.059254+0 6.322473-4 1.148154+0 5.379355-4 1.250000+0 4.572300-4 1.380384+0 3.811484-4 1.757924+0 2.478393-4 1.995262+0 1.992074-4 2.290868+0 1.583081-4 2.630268+0 1.266939-4 3.019952+0 1.020939-4 3.507519+0 8.142848-5 4.073803+0 6.543006-5 4.786301+0 5.210285-5 5.688529+0 4.113228-5 6.760830+0 3.272739-5 8.128305+0 2.583949-5 1.000000+1 1.997700-5 1.230269+1 1.556639-5 1.531087+1 1.204702-5 2.000000+1 8.890200-6 2.630268+1 6.561082-6 3.801894+1 4.406582-6 5.432503+1 3.020635-6 8.609938+1 1.871612-6 1.566751+2 1.014113-6 3.126079+2 5.040492-7 6.237348+2 2.514708-7 4.954502+3 3.153605-8 1.000000+5 1.561700-9 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 2.544000-5 2.544000-5 1.000000+5 2.544000-5 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 2.544000-5 0.0 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 5.780000-6 1.080370+7 5.821032-6 1.061335+7 5.900000-6 1.021906+7 6.760830-6 6.719982+6 7.762471-6 4.426706+6 8.912509-6 2.940668+6 1.011579-5 2.035531+6 1.174898-5 1.328089+6 1.364583-5 8.735072+5 1.584893-5 5.785883+5 1.883649-5 3.626995+5 2.187762-5 2.437359+5 2.511886-5 1.700962+5 2.851018-5 1.232142+5 3.162278-5 9.521461+4 3.507519-5 7.407064+4 3.900000-5 5.772140+4 4.315191-5 4.582034+4 4.731513-5 3.738517+4 5.188000-5 3.070065+4 5.800000-5 2.437460+4 6.382635-5 2.014668+4 7.079458-5 1.652487+4 7.800000-5 1.382264+4 8.609938-5 1.161732+4 9.660509-5 9.564963+3 1.071519-4 8.090314+3 1.230269-4 6.522958+3 1.400000-4 5.381300+3 1.548817-4 4.657261+3 1.757924-4 3.918786+3 2.290868-4 2.763013+3 4.027170-4 1.297787+3 5.069907-4 9.599028+2 6.309573-4 7.119559+2 8.413951-4 4.781790+2 9.772372-4 3.859475+2 1.244515-3 2.707639+2 1.531087-3 1.983728+2 1.883649-3 1.441365+2 2.344229-3 1.021093+2 2.897850-3 7.261320+1 3.235937-3 6.033870+1 5.128614-3 2.807198+1 6.165950-3 2.055670+1 7.585776-3 1.433044+1 9.332543-3 9.913883+0 1.135011-2 6.946869+0 1.380384-2 4.830663+0 1.678804-2 3.333223+0 2.018366-2 2.333687+0 2.426610-2 1.621999+0 2.884032-2 1.145328+0 3.467369-2 7.835084-1 4.168694-2 5.318427-1 5.011872-2 3.582187-1 6.025596-2 2.394674-1 7.328245-2 1.547644-1 9.015711-2 9.669836-2 1.071519-1 6.493982-2 1.396368-1 3.494303-2 2.691535-1 7.425262-3 3.349654-1 4.460826-3 4.027170-1 2.925621-3 4.731513-1 2.038436-3 5.559043-1 1.430907-3 6.382635-1 1.063730-3 7.413102-1 7.773468-4 8.511380-1 5.861826-4 9.885531-1 4.350679-4 1.188502+0 3.038612-4 1.364583+0 2.336268-4 1.531087+0 1.888295-4 1.737801+0 1.506674-4 1.972423+0 1.211234-4 2.264644+0 9.618930-5 2.600160+0 7.693666-5 3.019952+0 6.087717-5 3.507519+0 4.855377-5 4.073803+0 3.901343-5 4.786301+0 3.106630-5 5.688529+0 2.452540-5 6.760830+0 1.951422-5 8.128305+0 1.540726-5 1.000000+1 1.191200-5 1.216186+1 9.409883-6 1.513561+1 7.279506-6 1.949845+1 5.454528-6 2.540973+1 4.063074-6 3.630781+1 2.760263-6 5.188000+1 1.890213-6 8.222427+1 1.170272-6 1.462177+2 6.487676-7 2.722701+2 3.454899-7 5.432503+2 1.722672-7 2.162719+3 4.309511-8 1.000000+5 9.31200-10 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 5.780000-6 5.780000-6 1.000000+5 5.780000-6 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 5.780000-6 0.0 1.000000+5 1.000000+5 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 9.767770-7 1.025500+0 1.377000-6 1.025800+0 1.760350-6 1.026100+0 2.208580-6 1.026600+0 3.113590-6 1.027100+0 4.236100-6 1.027500+0 5.305670-6 1.028100+0 7.223570-6 1.028750+0 9.767770-6 1.029500+0 1.336750-5 1.030100+0 1.681120-5 1.031000+0 2.300340-5 1.032000+0 3.147450-5 1.033200+0 4.409040-5 1.034000+0 5.412500-5 1.035300+0 7.346710-5 1.036640+0 9.767770-5 1.038200+0 1.318190-4 1.039700+0 1.712600-4 1.041500+0 2.278590-4 1.043800+0 3.162760-4 1.046400+0 4.400390-4 1.048300+0 5.478610-4 1.051200+0 7.431610-4 1.054080+0 9.767770-4 1.057700+0 1.331410-3 1.061100+0 1.731820-3 1.065100+0 2.292720-3 1.070400+0 3.198570-3 1.076200+0 4.420390-3 1.080600+0 5.520340-3 1.087100+0 7.437760-3 1.093710+0 9.767770-3 1.102600+0 1.354340-2 1.110700+0 1.766420-2 1.120600+0 2.363100-2 1.133300+0 3.286010-2 1.147500+0 4.537280-2 1.158200+0 5.638720-2 1.174100+0 7.535680-2 1.190110+0 9.767770-2 1.205100+0 1.215440-1 1.227500+0 1.626250-1 1.250000+0 2.103000-1 1.280300+0 2.842340-1 1.307700+0 3.601540-1 1.343000+0 4.695600-1 1.382200+0 6.043950-1 1.411700+0 7.136310-1 1.455800+0 8.865530-1 1.500000+0 1.068000+0 1.562500+0 1.331160+0 1.641100+0 1.663310+0 1.706900+0 1.936530+0 1.811600+0 2.356780+0 1.937200+0 2.839390+0 2.000000+0 3.076000+0 2.044000+0 3.241000+0 2.163500+0 3.675610+0 2.372600+0 4.385610+0 2.686300+0 5.343970+0 3.000000+0 6.203000+0 3.500000+0 7.430900+0 4.000000+0 8.541000+0 5.000000+0 1.049000+1 6.000000+0 1.211000+1 7.000000+0 1.360000+1 8.000000+0 1.495000+1 9.000000+0 1.619000+1 1.000000+1 1.734000+1 1.100000+1 1.840000+1 1.200000+1 1.940000+1 1.300000+1 2.033000+1 1.400000+1 2.120000+1 1.500000+1 2.202000+1 1.600000+1 2.279000+1 1.800000+1 2.418000+1 2.000000+1 2.542000+1 2.200000+1 2.656000+1 2.400000+1 2.760000+1 2.600000+1 2.855000+1 2.800000+1 2.942000+1 3.000000+1 3.022000+1 4.000000+1 3.349000+1 5.000000+1 3.593000+1 6.000000+1 3.782000+1 8.000000+1 4.060000+1 1.000000+2 4.256000+1 1.500000+2 4.563000+1 2.000000+2 4.746000+1 3.000000+2 4.959000+1 4.000000+2 5.081000+1 5.000000+2 5.161000+1 6.000000+2 5.218000+1 8.000000+2 5.293000+1 1.000000+3 5.342000+1 1.500000+3 5.412000+1 2.000000+3 5.452000+1 3.000000+3 5.491000+1 4.000000+3 5.517000+1 5.000000+3 5.531000+1 6.000000+3 5.541000+1 8.000000+3 5.554000+1 1.000000+4 5.562000+1 1.500000+4 5.572000+1 2.000000+4 5.579000+1 3.000000+4 5.584000+1 4.000000+4 5.589000+1 5.000000+4 5.592000+1 6.000000+4 5.593000+1 8.000000+4 5.594000+1 1.000000+5 5.595000+1 1 99000 7 8 2.520000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 9.900450-7 2.090400+0 1.344240-6 2.094700+0 1.743000-6 2.099900+0 2.318820-6 2.106600+0 3.225670-6 2.114000+0 4.463130-6 2.119500+0 5.556570-6 2.127900+0 7.535750-6 2.136250+0 9.900450-6 2.147000+0 1.357420-5 2.156900+0 1.763130-5 2.169000+0 2.353000-5 2.184500+0 3.270760-5 2.201800+0 4.525190-5 2.214800+0 5.638030-5 2.234200+0 7.584140-5 2.253680+0 9.900450-5 2.281500+0 1.386730-4 2.307000+0 1.821460-4 2.338200+0 2.449110-4 2.377400+0 3.391710-4 2.410200+0 4.313690-4 2.446800+0 5.487250-4 2.485900+0 6.908750-4 2.532900+0 8.841770-4 2.556430+0 9.900450-4 2.611900+0 1.262440-3 2.660400+0 1.526240-3 2.745300+0 2.042820-3 2.809000+0 2.473990-3 2.904500+0 3.187110-3 3.000000+0 3.978000-3 3.125000+0 5.128790-3 3.234400+0 6.239530-3 3.425800+0 8.399280-3 3.569300+0 1.018190-2 3.784700+0 1.308290-2 4.000000+0 1.620000-2 4.250000+0 2.000970-2 4.625000+0 2.599430-2 5.000000+0 3.221000-2 5.500000+0 4.072900-2 6.000000+0 4.935000-2 6.750000+0 6.216150-2 7.000000+0 6.637000-2 8.000000+0 8.280000-2 9.000000+0 9.848000-2 1.000000+1 1.133000-1 1.100000+1 1.273000-1 1.200000+1 1.405000-1 1.300000+1 1.529000-1 1.400000+1 1.646000-1 1.500000+1 1.757000-1 1.600000+1 1.862000-1 1.800000+1 2.056000-1 2.000000+1 2.232000-1 2.200000+1 2.392000-1 2.400000+1 2.539000-1 2.600000+1 2.674000-1 2.800000+1 2.798000-1 3.000000+1 2.914000-1 4.000000+1 3.388000-1 5.000000+1 3.744000-1 6.000000+1 4.023000-1 8.000000+1 4.438000-1 1.000000+2 4.736000-1 1.500000+2 5.223000-1 2.000000+2 5.524000-1 3.000000+2 5.888000-1 4.000000+2 6.103000-1 5.000000+2 6.250000-1 6.000000+2 6.357000-1 8.000000+2 6.504000-1 1.000000+3 6.601000-1 1.500000+3 6.745000-1 2.000000+3 6.827000-1 3.000000+3 6.916000-1 4.000000+3 6.969000-1 5.000000+3 7.001000-1 6.000000+3 7.023000-1 8.000000+3 7.053000-1 1.000000+4 7.072000-1 1.500000+4 7.098000-1 2.000000+4 7.113000-1 3.000000+4 7.127000-1 4.000000+4 7.136000-1 5.000000+4 7.142000-1 6.000000+4 7.145000-1 8.000000+4 7.149000-1 1.000000+5 7.152000-1 1 99000 7 8 2.520000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 99000 7 9 2.520000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 9.900000+1 1.000000+5 9.900000+1 5.000000+5 9.896100+1 1.000000+6 9.890300+1 1.375000+6 9.884370+1 1.500000+6 9.881700+1 1.875000+6 9.871680+1 2.000000+6 9.867800+1 2.375000+6 9.854240+1 2.500000+6 9.850200+1 2.875000+6 9.834170+1 3.000000+6 9.829300+1 3.437500+6 9.807780+1 3.812500+6 9.787930+1 4.000000+6 9.778400+1 4.500000+6 9.750290+1 4.875000+6 9.726970+1 5.000000+6 9.719600+1 5.500000+6 9.685940+1 5.875000+6 9.659240+1 6.437500+6 9.617670+1 7.000000+6 9.575000+1 8.000000+6 9.496330+1 9.000000+6 9.416200+1 1.000000+7 9.332200+1 1.250000+7 9.119300+1 1.500000+7 8.894300+1 1.750000+7 8.662700+1 2.000000+7 8.424000+1 2.250000+7 8.179160+1 2.500000+7 7.934300+1 2.875000+7 7.575250+1 3.000000+7 7.459800+1 3.437500+7 7.070010+1 4.000000+7 6.613400+1 4.500000+7 6.248490+1 4.750000+7 6.078280+1 5.000000+7 5.916500+1 5.750000+7 5.468990+1 6.000000+7 5.332300+1 6.750000+7 4.952490+1 7.000000+7 4.836300+1 8.000000+7 4.418200+1 9.000000+7 4.066700+1 1.000000+8 3.767300+1 1.125000+8 3.444080+1 1.250000+8 3.158100+1 1.359400+8 2.928710+1 1.437500+8 2.773880+1 1.453100+8 2.743730+1 1.500000+8 2.654500+1 1.617200+8 2.440810+1 1.750000+8 2.220280+1 1.753900+8 2.214200+1 1.918000+8 1.977000+1 2.000000+8 1.872600+1 2.218800+8 1.639310+1 2.341800+8 1.538490+1 2.447300+8 1.468880+1 2.500000+8 1.439500+1 2.625000+8 1.382250+1 2.859400+8 1.294160+1 3.000000+8 1.240000+1 3.125000+8 1.187190+1 3.500000+8 1.040600+1 3.812500+8 9.523680+0 3.937500+8 9.180320+0 4.000000+8 9.000300+0 4.125000+8 8.619010+0 4.234400+8 8.274710+0 4.500000+8 7.455990+0 5.000000+8 6.189300+0 5.250000+8 5.727460+0 5.437500+8 5.439780+0 5.718800+8 5.078270+0 6.000000+8 4.778500+0 6.437500+8 4.398560+0 6.812500+8 4.138480+0 7.000000+8 4.026900+0 7.625000+8 3.708980+0 8.000000+8 3.520300+0 8.359400+8 3.326240+0 8.660200+8 3.160960+0 9.138700+8 2.906210+0 9.500000+8 2.727680+0 1.000000+9 2.507100+0 1.062500+9 2.275760+0 1.141100+9 2.043000+0 1.206900+9 1.887520+0 1.250000+9 1.801500+0 1.280200+9 1.747670+0 1.355700+9 1.632900+0 1.407300+9 1.568690+0 1.469100+9 1.504290+0 1.500000+9 1.476700+0 1.562500+9 1.428900+0 1.671900+9 1.362690+0 1.959000+9 1.232250+0 2.000000+9 1.214600+0 2.139200+9 1.152770+0 2.272600+9 1.092590+0 2.357800+9 1.054370+0 2.522900+9 9.818710-1 2.677700+9 9.168230-1 2.750000+9 8.876340-1 2.890900+9 8.329270-1 3.086500+9 7.622940-1 3.325700+9 6.841300-1 3.535000+9 6.229200-1 3.718100+9 5.744160-1 4.038600+9 4.997990-1 4.278900+9 4.514590-1 4.639500+9 3.892730-1 5.000000+9 3.375400-1 5.375000+9 2.926740-1 5.703100+9 2.595640-1 6.277300+9 2.124950-1 6.708000+9 1.843250-1 7.354000+9 1.506530-1 8.000000+9 1.247100-1 9.000000+9 9.519450-2 1.00000+10 7.449700-2 1.27030+10 4.244330-2 1.70630+10 2.103200-2 2.16210+10 1.190530-2 2.93940+10 5.656980-3 3.41010+10 3.939590-3 1.00000+11 2.826600-4 1.68570+11 7.910860-5 3.34410+11 1.504350-5 1.39060+12 4.917720-7 1.17920+13 3.070260-9 1.00000+14 1.95480-11 3.16230+15 5.30950-15 1.00000+17 1.38800-18 1 99000 7 0 2.520000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.21800-11 1.000000+2 1.218000-9 1.000000+3 1.218000-7 1.000000+4 1.218000-5 1.000000+5 1.218000-3 5.000000+5 3.045000-2 1.000000+6 1.218000-1 1.375000+6 2.278650-1 1.500000+6 2.700000-1 1.875000+6 4.147940-1 2.000000+6 4.689000-1 2.375000+6 6.472780-1 2.500000+6 7.117000-1 2.875000+6 9.175510-1 3.000000+6 9.900000-1 3.437500+6 1.255600+0 3.812500+6 1.496200+0 4.000000+6 1.620300+0 4.500000+6 1.959730+0 4.875000+6 2.218800+0 5.000000+6 2.305400+0 5.500000+6 2.649290+0 5.875000+6 2.905080+0 6.437500+6 3.284380+0 7.000000+6 3.658500+0 8.000000+6 4.312570+0 9.000000+6 4.959600+0 1.000000+7 5.605500+0 1.250000+7 7.247600+0 1.500000+7 8.953500+0 1.750000+7 1.060900+1 2.000000+7 1.223300+1 2.250000+7 1.378850+1 2.500000+7 1.529200+1 2.875000+7 1.748410+1 3.000000+7 1.819500+1 3.437500+7 2.056960+1 4.000000+7 2.339700+1 4.500000+7 2.572440+1 4.750000+7 2.683970+1 5.000000+7 2.793100+1 5.750000+7 3.109350+1 6.000000+7 3.211900+1 6.750000+7 3.509880+1 7.000000+7 3.606600+1 8.000000+7 3.976400+1 9.000000+7 4.320100+1 1.000000+8 4.635400+1 1.125000+8 4.984490+1 1.250000+8 5.288600+1 1.359400+8 5.522280+1 1.437500+8 5.675450+1 1.453100+8 5.704670+1 1.500000+8 5.791400+1 1.617200+8 5.996030+1 1.750000+8 6.210970+1 1.753900+8 6.216940+1 1.918000+8 6.458150+1 2.000000+8 6.570700+1 2.218800+8 6.845300+1 2.341800+8 6.988450+1 2.447300+8 7.105970+1 2.500000+8 7.163500+1 2.625000+8 7.295160+1 2.859400+8 7.525380+1 3.000000+8 7.651800+1 3.125000+8 7.755070+1 3.500000+8 8.026600+1 3.812500+8 8.220220+1 3.937500+8 8.289210+1 4.000000+8 8.323100+1 4.125000+8 8.385570+1 4.234400+8 8.437620+1 4.500000+8 8.552530+1 5.000000+8 8.733500+1 5.250000+8 8.810960+1 5.437500+8 8.863720+1 5.718800+8 8.937500+1 6.000000+8 9.005700+1 6.437500+8 9.099600+1 6.812500+8 9.170710+1 7.000000+8 9.205000+1 7.625000+8 9.305360+1 8.000000+8 9.358600+1 8.359400+8 9.402870+1 8.660200+8 9.436960+1 9.138700+8 9.484220+1 9.500000+8 9.516280+1 1.000000+9 9.554800+1 1.062500+9 9.595130+1 1.141100+9 9.635720+1 1.206900+9 9.664570+1 1.250000+9 9.680490+1 1.280200+9 9.691090+1 1.355700+9 9.713420+1 1.407300+9 9.727330+1 1.469100+9 9.741790+1 1.500000+9 9.748800+1 1.562500+9 9.760530+1 1.671900+9 9.780020+1 1.959000+9 9.818450+1 2.000000+9 9.822800+1 2.139200+9 9.835300+1 2.272600+9 9.845070+1 2.357800+9 9.850490+1 2.522900+9 9.860460+1 2.677700+9 9.867230+1 2.750000+9 9.870160+1 2.890900+9 9.875120+1 3.086500+9 9.880060+1 3.325700+9 9.885710+1 3.535000+9 9.888790+1 3.718100+9 9.890830+1 4.038600+9 9.894170+1 4.278900+9 9.896030+1 4.639500+9 9.897420+1 5.000000+9 9.898700+1 5.375000+9 9.898880+1 5.703100+9 9.899040+1 6.277300+9 9.899280+1 6.708000+9 9.899450+1 7.354000+9 9.899690+1 8.000000+9 9.899900+1 9.000000+9 9.899950+1 1.00000+10 9.900000+1 1.27030+10 9.900000+1 1.70630+10 9.900000+1 2.16210+10 9.900000+1 2.93940+10 9.900000+1 3.41010+10 9.900000+1 1.00000+11 9.900000+1 1.68570+11 9.900000+1 3.34410+11 9.900000+1 1.39060+12 9.900000+1 1.17920+13 9.900000+1 1.00000+14 9.900000+1 3.16230+15 9.900000+1 1.00000+17 9.900000+1 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 1.938760-6 0.0 1.943532-6 1.067230-6 1.948304-6 2.111754-6 1.953076-6 3.857291-6 1.957848-6 6.503923-6 1.962620-6 1.012330-5 1.967392-6 1.454531-5 1.972164-6 1.929201-5 1.976936-6 2.362033-5 1.981708-6 2.669613-5 1.986480-6 2.785253-5 1.991252-6 2.682470-5 1.996024-6 2.384839-5 2.000796-6 1.957209-5 2.010340-6 1.036945-5 2.015112-6 6.694153-6 2.019884-6 3.989236-6 2.024656-6 2.194512-6 2.029428-6 1.114397-6 2.034200-6 0.0 2.634798-6 0.0 2.644526-6 3.081165+0 2.647768-6 4.095192+0 2.654253-6 7.480202+0 2.660739-6 1.261265+1 2.667224-6 1.963149+1 2.687085-6 4.617740+1 2.693760-6 5.197558+1 2.700095-6 5.387623+1 2.707185-6 5.108716+1 2.713902-6 4.456912+1 2.732076-6 2.010884+1 2.738561-6 1.298157+1 2.745047-6 7.736089+0 2.751532-6 4.255689+0 2.762487-6 6.724801-1 2.764502-6 4.396778-6 2.767010-6 3.488192-6 2.773547-6 1.918883-6 2.781718-6 7.312522-7 2.786621-6 0.0 3.084421-6 0.0 3.097707-6 6.992159+0 3.099605-6 7.980846+0 3.107197-6 1.457767+1 3.114789-6 2.457995+1 3.123329-6 4.034306+1 3.136630-6 7.069735+1 3.145631-6 8.999204+1 3.153977-6 1.015974+2 3.161386-6 1.047275+2 3.169060-6 9.970971+1 3.176469-6 8.806722+1 3.198300-6 3.918874+1 3.205891-6 2.529890+1 3.213483-6 1.507636+1 3.221075-6 8.293659+0 3.234446-6 1.007417+0 3.236259-6 7.520776-5 3.240437-6 8.015791-5 3.248240-6 8.363012-5 3.256043-6 8.054396-5 3.263846-6 7.160728-5 3.275551-6 5.165281-5 3.287255-6 3.113534-5 3.295058-6 2.009989-5 3.302861-6 1.197810-5 3.310665-6 6.589249-6 3.318468-6 3.346093-6 3.326271-6 0.0 3.707387-6 0.0 3.716513-6 5.76145-15 3.725638-6 1.14003-14 3.734763-6 2.08236-14 3.743888-6 3.51115-14 3.753014-6 5.46508-14 3.762139-6 7.85230-14 3.771264-6 1.04148-13 3.780389-6 1.27515-13 3.789515-6 1.44119-13 3.798640-6 1.50362-13 3.807765-6 1.44813-13 3.816891-6 1.28746-13 3.826016-6 1.05660-13 3.844266-6 5.59796-14 3.853392-6 3.61385-14 3.862517-6 2.15359-14 3.871642-6 1.18471-14 3.880767-6 6.01609-15 3.889893-6 0.0 4.301602-6 0.0 4.320130-6 1.196697-1 4.322777-6 1.365909-1 4.333365-6 2.494945-1 4.344615-6 4.352804-1 4.355203-6 6.726239-1 4.374007-6 1.198148+0 4.386966-6 1.540200+0 4.396892-6 1.726740+0 4.408452-6 1.795449+0 4.418730-6 1.723054+0 4.430106-6 1.504293+0 4.440885-6 1.228549+0 4.462660-6 1.463484+0 4.473927-6 1.953607+0 4.484691-6 2.831613+0 4.495845-6 4.198679+0 4.529608-6 9.476650+0 4.540235-6 1.056973+1 4.550933-6 1.093690+1 4.561543-6 1.049589+1 4.572688-6 9.254705+0 4.604580-6 4.085598+0 4.615510-6 2.637521+0 4.626440-6 1.571775+0 4.637370-6 8.646475-1 4.653765-6 2.197983-1 4.659230-6 2.276685-6 4.674774-6 6.037326-7 4.680264-6 0.0 4.835344-6 0.0 4.835412-6 3.14495-14 4.859216-6 2.53881-11 4.871118-6 4.63576-11 4.883019-6 7.81405-11 4.886876-6 9.21877-11 4.898904-6 1.580570-2 4.910933-6 3.127513-2 4.922961-6 5.712658-2 4.934989-6 9.632336-2 4.947796-6 1.541558-1 4.972153-6 5.594625-1 4.984331-6 8.440071-1 4.997271-6 1.252243+0 5.013004-6 1.885114+0 5.045223-6 3.276095+0 5.058163-6 3.601186+0 5.070341-6 3.666783+0 5.083281-6 3.443696+0 5.096220-6 2.970591+0 5.130472-6 1.316032+0 5.142650-6 8.495847-1 5.154829-6 5.062918-1 5.167007-6 2.810774-1 5.191364-6 1.562077-2 5.193791-6 1.755791-2 5.200406-6 5.526697-2 5.212570-6 1.286619-1 5.219359-6 1.723112-1 5.232143-6 2.979043-1 5.244927-6 4.793133-1 5.257711-6 7.170419-1 5.288800-6 1.397214+0 5.298650-6 1.572243+0 5.311139-6 1.713516+0 5.324366-6 1.733855+0 5.339573-6 1.606881+0 5.352268-6 1.421692+0 5.374793-6 1.025250+0 5.385549-6 8.787105-1 5.398333-6 7.843085-1 5.411117-6 7.724597-1 5.427920-6 8.654665-1 5.439977-6 9.522195-1 5.465103-6 1.083583+0 5.483313-6 1.097104+0 5.528668-6 9.939908-1 5.641079-6 9.571042-1 5.708666-6 9.109168-1 5.751646-6 9.454417-1 5.766083-6 9.805901-1 5.809825-6 1.015259+0 5.848927-6 9.541808-1 5.901009-6 8.749065-1 5.965198-6 8.430262-1 6.680523-6 6.669126-1 6.745820-6 6.535174-1 6.779028-6 2.135573+0 6.795632-6 3.362865+0 6.813274-6 5.384226+0 6.830584-6 8.108910+0 6.879171-6 1.734553+1 6.897592-6 1.955704+1 6.913736-6 2.017301+1 6.929988-6 1.933495+1 6.947494-6 1.696951+1 6.994880-6 7.916599+0 7.011484-6 5.323016+0 7.028088-6 3.413441+0 7.044692-6 2.145452+0 7.077900-6 5.927703-1 7.925674-6 4.723188-1 8.036907-6 4.624091-1 8.075848-6 6.334165-1 8.095628-6 7.784842-1 8.115408-6 9.995839-1 8.135188-6 1.302836+0 8.170250-6 1.981512+0 8.198514-6 3.415657+0 8.210470-6 3.958531+0 8.231982-6 5.289423+0 8.256720-6 7.397062+0 8.278927-6 9.773867+0 8.333424-6 1.622669+1 8.355886-6 1.774085+1 8.374368-6 1.799920+1 8.395887-6 1.689221+1 8.414019-6 1.503524+1 8.473122-6 6.736079+0 8.492010-6 4.583239+0 8.512120-6 2.896112+0 8.532230-6 1.776398+0 8.572450-6 4.664264-1 8.595017-6 5.193447-1 8.616017-6 5.972314-1 8.638743-6 7.152294-1 8.694598-6 1.086617+0 8.721553-6 1.264526+0 8.742256-6 1.351282+0 8.864017-6 1.612538+0 8.903496-6 1.681666+0 8.925092-6 1.659418+0 8.955396-6 1.522480+0 9.026596-6 1.077223+0 9.050054-6 9.557803-1 9.074490-6 8.671900-1 9.112548-6 7.745668-1 9.280926-6 7.445214-1 9.329720-6 7.188602-1 9.386354-6 6.617988-1 9.492172-6 4.992361-1 9.529475-6 4.712105-1 9.562858-6 4.775436-1 9.602600-6 5.185328-1 9.675497-6 6.208187-1 9.733111-6 6.700277-1 9.797363-6 6.843235-1 9.916322-6 6.744410-1 9.965138-6 7.553827-1 9.989546-6 8.268783-1 1.002006-5 9.749112-1 1.004325-5 1.127551+0 1.011158-5 1.675204+0 1.013599-5 1.819240+0 1.016040-5 1.884530+0 1.019091-5 1.828012+0 1.021371-5 1.708006+0 1.029464-5 1.071608+0 1.030685-5 9.850164-1 1.033125-5 8.513683-1 1.035566-5 7.573261-1 1.040448-5 6.384217-1 1.044784-5 6.240971-1 1.050000-5 6.502376-1 1.052499-5 6.755452-1 1.055070-5 7.163836-1 1.060450-5 8.511625-1 1.065357-5 9.920235-1 1.068092-5 1.044652+0 1.070640-5 1.064275+0 1.074461-5 1.035222+0 1.083771-5 8.478509-1 1.085930-5 8.263677-1 1.090995-5 8.303343-1 1.099943-5 8.670319-1 1.129529-5 8.127692-1 1.147944-5 7.155149-1 1.156881-5 7.318040-1 1.168184-5 7.786381-1 1.182987-5 7.857148-1 1.308066-5 7.219609-1 1.462177-5 7.014612-1 1.623712-5 7.324781-1 1.807478-5 8.228904-1 2.008128-5 9.851591-1 2.181642-5 1.182438+0 2.192381-5 3.091695+0 2.197751-5 4.665374+0 2.203121-5 7.047868+0 2.208491-5 1.030349+1 2.224600-5 2.243900+1 2.230774-5 2.539638+1 2.233180-5 2.596503+1 2.235447-5 2.929000+1 2.241709-5 3.589352+1 2.244756-5 3.872077+1 2.249565-5 4.582701+1 2.255405-5 6.045512+1 2.261042-5 8.143137+1 2.277391-5 1.618602+2 2.283433-5 1.810510+2 2.288760-5 1.857882+2 2.294353-5 1.769416+2 2.299730-5 1.566037+2 2.315522-5 7.205322+1 2.321019-5 4.835568+1 2.326515-5 3.115242+1 2.332011-5 1.992809+1 2.338882-5 1.145464+1 2.343004-5 6.043514+0 2.348709-5 5.884011+0 2.354337-5 5.397573+0 2.362129-5 4.457410+0 2.373757-5 4.878836+0 2.379571-5 5.930185+0 2.385386-5 7.989732+0 2.391799-5 1.146490+1 2.409745-5 2.358708+1 2.416150-5 2.647589+1 2.420976-5 2.747694+1 2.427938-5 2.660422+1 2.437161-5 2.303292+1 2.447564-5 1.841285+1 2.451732-5 1.713872+1 2.456308-5 1.615313+1 2.462266-5 1.561589+1 2.490087-5 1.591409+1 2.538489-5 1.365955+1 2.606179-5 1.220977+1 2.704304-5 1.071052+1 2.810892-5 9.651098+0 2.952901-5 8.806025+0 3.175942-5 8.202190+0 3.498553-5 8.155438+0 3.614142-5 8.283331+0 3.631934-5 1.625677+1 3.641386-5 2.346514+1 3.650281-5 3.367246+1 3.659645-5 4.843657+1 3.685864-5 9.804693+1 3.695644-5 1.096244+2 3.704352-5 1.127475+2 3.712812-5 1.084105+2 3.722325-5 9.555617+1 3.747579-5 4.770264+1 3.756475-5 3.398473+1 3.765370-5 2.395618+1 3.774266-5 1.738424+1 3.792058-5 9.606941+0 3.818458-5 1.091767+1 3.832910-5 1.213796+1 3.858937-5 1.544363+1 3.875268-5 1.729658+1 3.884572-5 1.787230+1 3.897164-5 1.794223+1 3.939976-5 1.642052+1 4.021042-5 1.611030+1 4.072534-5 1.522334+1 4.269645-5 1.462197+1 4.654043-5 1.481288+1 5.300228-5 1.640301+1 5.958076-5 1.880860+1 6.063811-5 1.982370+1 6.185070-5 1.985449+1 7.350185-5 2.381991+1 8.258545-5 2.580290+1 9.150000-5 2.639405+1 1.031673-4 2.517461+1 1.168154-4 2.152145+1 1.199662-4 2.046064+1 1.211240-4 2.117200+1 1.219187-4 2.303298+1 1.225056-4 3.159258+1 1.228431-4 3.919445+1 1.231432-4 4.884991+1 1.234695-4 6.289830+1 1.243246-4 1.056321+2 1.246377-4 1.154927+2 1.249310-4 1.182499+2 1.252677-4 1.122225+2 1.255718-4 1.000841+2 1.264063-4 5.502949+1 1.267438-4 4.063648+1 1.270064-4 3.212172+1 1.273064-4 2.563039+1 1.279196-4 1.760583+1 1.300299-4 1.717977+1 1.319670-4 1.751148+1 1.335063-4 1.700207+1 1.341655-4 2.219851+1 1.345195-4 2.708959+1 1.348549-4 3.414490+1 1.352426-4 4.548963+1 1.361731-4 7.709471+1 1.365581-4 8.471382+1 1.368649-4 8.619145+1 1.372032-4 8.222807+1 1.376075-4 7.128553+1 1.384426-4 4.229807+1 1.387760-4 3.296042+1 1.390902-4 2.639909+1 1.394635-4 2.146237+1 1.400760-4 1.624186+1 1.427209-4 1.613957+1 1.454277-4 1.687579+1 1.512836-4 1.584161+1 1.603246-4 1.448674+1 1.812372-4 9.280345+0 1.911535-4 7.276204+0 2.018672-4 5.609053+0 2.098182-4 4.659470+0 2.187000-4 3.848345+0 2.288738-4 3.173008+0 2.383015-4 2.741205+0 2.474067-4 2.462229+0 2.523063-4 2.366480+0 2.540531-4 2.405334+0 2.553732-4 2.538593+0 2.575271-4 2.985510+0 2.592550-4 3.331647+0 2.607500-4 3.454456+0 2.750000-4 3.316154+0 2.952802-4 3.345560+0 3.255940-4 3.639226+0 3.419754-4 3.874795+0 3.452796-4 4.082089+0 3.504183-4 4.930778+0 3.521819-4 5.023622+0 3.586906-4 4.730587+0 4.213884-4 5.399604+0 4.315418-4 5.778088+0 5.432010-4 6.605263+0 5.500000-4 7.105285+0 5.549008-4 7.430624+0 5.630552-4 7.402774+0 5.721391-4 7.900832+0 5.848000-4 7.695159+0 5.978030-4 8.088409+0 6.074974-4 8.794844+0 6.161310-4 9.901697+0 6.239002-4 1.139476+1 6.321094-4 1.353307+1 6.418342-4 1.681604+1 6.625614-4 2.565310+1 6.839857-4 3.459606+1 7.032956-4 4.040035+1 7.244360-4 4.423762+1 7.542888-4 4.661863+1 8.107429-4 4.713994+1 9.277677-4 4.421912+1 9.372193-4 4.548052+1 9.483798-4 4.921873+1 9.554464-4 4.846932+1 9.669163-4 4.568069+1 9.995085-4 4.756602+1 1.013214-3 4.976916+1 1.038333-3 4.762828+1 1.293317-3 4.114905+1 1.322293-3 4.264493+1 1.651602-3 3.433470+1 1.852342-3 3.090116+1 2.256511-3 2.491928+1 2.626486-3 2.076357+1 3.081414-3 1.701735+1 3.537936-3 1.424534+1 4.173585-3 1.144855+1 4.254374-3 1.116689+1 4.285906-3 1.179923+1 4.304992-3 1.299032+1 4.320535-3 1.467575+1 4.369562-3 2.173277+1 4.390016-3 2.336438+1 4.418113-3 2.406242+1 4.528559-3 2.363976+1 4.560252-3 2.460798+1 4.625878-3 2.970614+1 4.659086-3 3.080808+1 5.167769-3 2.723104+1 5.224930-3 2.832702+1 5.290334-3 2.995549+1 5.535558-3 2.838055+1 6.376446-3 2.281839+1 6.505488-3 2.239967+1 6.663032-3 2.260877+1 6.902903-3 2.165318+1 7.118127-3 2.137328+1 8.241678-3 1.726379+1 9.606786-3 1.373504+1 1.087051-2 1.140268+1 1.217752-2 9.586411+0 1.388353-2 7.839760+0 1.573677-2 6.451157+0 1.792410-2 5.265058+0 1.993730-2 4.469418+0 2.008005-2 4.583266+0 2.016960-2 4.895589+0 2.024990-2 5.453801+0 2.034405-2 6.451541+0 2.052273-2 8.523279+0 2.061932-2 9.205675+0 2.077919-2 9.573082+0 2.453672-2 7.311753+0 2.555362-2 6.881745+0 2.575835-2 7.135391+0 2.600393-2 8.113318+0 2.619917-2 8.884249+0 2.653214-2 9.314088+0 2.705932-2 1.008236+1 2.755532-2 1.001273+1 3.175388-2 8.087675+0 3.602940-2 6.658763+0 4.118659-2 5.401650+0 4.656992-2 4.443380+0 5.369850-2 3.534289+0 6.114227-2 2.863766+0 6.956489-2 2.318095+0 7.894104-2 1.882121+0 8.933015-2 1.533534+0 1.015032-1 1.241331+0 1.145704-1 1.014471+0 1.310196-1 8.119858-1 1.357926-1 7.693061-1 1.366465-1 7.927448-1 1.371477-1 8.496758-1 1.375964-1 9.547861-1 1.380579-1 1.135296+0 1.385320-1 1.400175+0 1.397408-1 2.216122+0 1.403419-1 2.517248+0 1.411194-1 2.719837+0 1.422228-1 2.777692+0 1.667086-1 2.200849+0 1.911717-1 1.787440+0 2.134582-1 1.513961+0 2.439507-1 1.239650+0 2.792778-1 1.015366+0 3.198895-1 8.355246-1 3.671585-1 6.891375-1 4.171988-1 5.796503-1 4.786301-1 4.843831-1 5.485038-1 4.082691-1 6.340293-1 3.431362-1 7.397117-1 2.881581-1 8.648273-1 2.436600-1 1.012308+0 2.079773-1 1.173413+0 1.757052-1 1.347258+0 1.498053-1 1.547595+0 1.276566-1 1.776032+0 1.088962-1 2.059849+0 9.180950-2 2.451607+0 7.506062-2 2.814822+0 6.399629-2 3.231848+0 5.456291-2 3.710658+0 4.652005-2 4.260405+0 3.966275-2 4.891600+0 3.381625-2 5.616308+0 2.883156-2 6.464687+0 2.451337-2 7.403736+0 2.095817-2 8.500626+0 1.786883-2 9.760024+0 1.523487-2 1.000000+1 3.196973-2 1 99000 7 0 2.520000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-9.870751+1 2.276409-6-9.556205+1 2.529648-6-9.098962+1 2.604761-6-8.536810+1 2.631599-6-7.926957+1 2.662968-6-6.421516+1 2.670744-6-6.306338+1 2.679184-6-6.630377+1 2.686383-6-7.311699+1 2.697073-6-9.030140+1 2.700095-6-9.613082+1 2.706823-6-9.004069+1 2.715625-6-7.764860+1 2.724823-6-7.120659+1 2.732076-6-7.030199+1 2.745047-6-7.518601+1 2.773547-6-8.856114+1 2.815505-6-9.552360+1 2.839751-6-9.766306+1 2.983620-6-9.089435+1 3.043765-6-8.291352+1 3.072197-6-7.452348+1 3.082971-6-6.827239+1 3.092013-6-6.079016+1 3.099605-6-5.506736+1 3.108146-6-4.756739+1 3.117398-6-4.092809+1 3.124990-6-3.860950+1 3.130921-6-4.020147+1 3.135696-6-4.409970+1 3.141953-6-5.321211+1 3.145631-6-6.103968+1 3.152560-6-7.833721+1 3.159730-6-9.876194+1 3.169868-6-6.789035+1 3.177637-6-4.930622+1 3.181790-6-4.246183+1 3.187376-6-3.596633+1 3.192027-6-3.278941+1 3.196535-6-3.172606+1 3.204942-6-3.482540+1 3.213483-6-4.140861+1 3.223152-6-4.975710+1 3.236259-6-5.971599+1 3.242388-6-6.448402+1 3.259945-6-7.172624+1 3.295058-6-7.901199+1 3.371639-6-8.581972+1 3.558480-6-9.138396+1 4.465404-6-9.852793+1 4.514278-6-9.707033+1 4.536560-6-9.871280+1 4.583262-6-9.019108+1 4.624391-6-9.033806+1 4.719292-6-9.443728+1 5.041483-6-9.768215+1 5.130472-6-9.443395+1 5.298650-6-9.697353+1 5.731155-6-9.691050+1 6.634282-6-9.856901+1 6.752528-6-9.461003+1 6.839220-6-8.985268+1 6.879171-6-9.385767+1 6.905109-6-9.885758+1 6.955416-6-8.740951+1 6.994880-6-8.513025+1 7.133866-6-9.271255+1 7.499358-6-9.618611+1 8.040358-6-9.877084+1 8.282190-6-9.302255+1 8.335842-6-9.743693+1 8.352849-6-9.866614+1 8.424423-6-8.724876+1 8.473122-6-8.553827+1 8.638743-6-9.296600+1 9.797363-6-9.644201+1 1.021371-5-9.610350+1 1.623712-5-1.001737+2 1.957413-5-9.533734+1 2.084516-5-8.859028+1 2.143711-5-8.067303+1 2.171940-5-7.304202+1 2.190263-5-6.365672+1 2.213863-5-4.812535+1 2.230774-5-4.087414+1 2.233180-5-3.805386+1 2.234703-5-3.599499+1 2.242889-5-3.003299+1 2.248964-5-2.177996+1 2.249565-5-2.061426+1 2.255061-5-1.244043+1 2.255405-5-1.172533+1 2.256049-5-1.079553+1 2.260558-5-6.668950+0 2.261042-5-6.103896+0 2.261949-5-5.727358+0 2.262743-5-5.733872+0 2.264132-5-6.283654+0 2.265174-5-7.074794+0 2.266737-5-8.798363+0 2.268299-5-1.106587+1 2.269393-5-1.302519+1 2.271187-5-1.712609+1 2.273201-5-2.298634+1 2.274884-5-2.904614+1 2.276844-5-3.809660+1 2.281678-5-6.541835+1 2.284009-5-8.214422+1 2.287362-5-1.043218+2 2.289863-5-8.536534+1 2.293450-5-6.123867+1 2.294938-5-5.066940+1 2.299730-5-2.333060+1 2.300592-5-1.920440+1 2.302006-5-1.338246+1 2.303161-5-9.267410+0 2.304028-5-6.494977+0 2.305327-5-2.781440+0 2.306627-5 4.808633-1 2.307739-5 2.885854+0 2.308711-5 4.648560+0 2.310414-5 7.042802+0 2.311691-5 8.259416+0 2.312649-5 8.827849+0 2.314086-5 9.050671+0 2.314804-5 8.802909+0 2.318270-5 5.401235+0 2.319644-5 3.816313+0 2.320332-5 2.781590+0 2.321019-5 1.331063+0 2.321706-5-1.795685-1 2.324110-5-4.287027+0 2.325313-5-6.479160+0 2.325914-5-7.723074+0 2.326515-5-9.268452+0 2.333901-5-2.480306+1 2.340943-5-3.664606+1 2.343004-5-4.130793+1 2.345199-5-4.610693+1 2.351523-5-5.471531+1 2.365921-5-6.877256+1 2.387384-5-8.561627+1 2.399936-5-9.042793+1 2.409745-5-8.950838+1 2.434033-5-7.753126+1 2.447564-5-7.686885+1 2.471084-5-8.154993+1 2.678962-5-8.763413+1 3.359621-5-9.917250+1 3.440700-5-1.014301+2 3.541988-5-9.439831+1 3.589064-5-8.610564+1 3.609904-5-7.812503+1 3.627486-5-6.647878+1 3.651324-5-4.990143+1 3.661564-5-4.674702+1 3.668249-5-4.859098+1 3.675000-5-5.362424+1 3.682862-5-6.353166+1 3.693545-5-8.535093+1 3.700624-5-1.026483+2 3.709252-5-8.027803+1 3.714706-5-6.653417+1 3.723211-5-4.933927+1 3.727598-5-4.315743+1 3.733998-5-3.694929+1 3.739271-5-3.384913+1 3.745242-5-3.256597+1 3.754251-5-3.528967+1 3.765370-5-4.273816+1 3.775240-5-5.037100+1 3.792058-5-6.205339+1 3.799671-5-6.731278+1 3.822326-5-7.595238+1 3.854391-5-8.231151+1 3.897164-5-8.216955+1 4.338279-5-8.723699+1 5.506499-5-8.936201+1 6.400000-5-8.817273+1 1.031673-4-7.421806+1 1.121264-4-7.438327+1 1.130737-4-7.475136+1 1.174912-4-6.809250+1 1.194857-4-6.213993+1 1.208520-4-5.409928+1 1.216451-4-4.607329+1 1.219055-4-4.154443+1 1.222024-4-3.630429+1 1.225056-4-3.162612+1 1.228431-4-2.560480+1 1.231432-4-2.118344+1 1.234274-4-1.906108+1 1.235089-4-1.903526+1 1.236475-4-2.002969+1 1.237536-4-2.148049+1 1.239052-4-2.454821+1 1.240636-4-2.913845+1 1.242625-4-3.738803+1 1.245614-4-5.440074+1 1.248205-4-7.213956+1 1.250210-4-5.717973+1 1.252154-4-4.375692+1 1.252975-4-3.832103+1 1.255718-4-2.299540+1 1.256749-4-1.867382+1 1.257980-4-1.454163+1 1.258718-4-1.244655+1 1.259386-4-1.080595+1 1.260482-4-8.710278+0 1.261377-4-7.490217+0 1.262049-4-6.867817+0 1.262552-4-6.575604+0 1.263307-4-6.457587+0 1.263685-4-6.581430+0 1.265563-4-8.349288+0 1.266688-4-9.743982+0 1.267438-4-1.132868+1 1.269736-4-1.542497+1 1.274238-4-2.516976+1 1.278441-4-3.277818+1 1.280513-4-3.757002+1 1.284440-4-4.295193+1 1.291997-4-4.967006+1 1.305225-4-5.750408+1 1.328255-4-6.911980+1 1.332630-4-7.282945+1 1.349321-4-5.171724+1 1.352983-4-5.000282+1 1.356370-4-5.227065+1 1.359381-4-5.744202+1 1.361387-4-6.352218+1 1.364033-4-7.300828+1 1.368445-4-5.274137+1 1.372496-4-3.473215+1 1.375519-4-2.421635+1 1.376597-4-2.124720+1 1.378432-4-1.750775+1 1.379894-4-1.539289+1 1.380984-4-1.423906+1 1.382490-4-1.327615+1 1.383942-4-1.314002+1 1.386927-4-1.493488+1 1.390313-4-1.880028+1 1.396198-4-2.670408+1 1.400385-4-3.155923+1 1.402172-4-3.423665+1 1.408000-4-3.891114+1 1.416524-4-4.295882+1 1.433957-4-4.773145+1 1.458258-4-5.019464+1 1.512836-4-5.281871+1 1.663660-4-5.386793+1 2.050986-4-5.756861+1 2.607500-4-6.443531+1 3.617185-4-6.893792+1 5.033133-4-7.399185+1 5.821032-4-8.142313+1 6.300500-4-9.218826+1 6.596244-4-9.666935+1 6.892223-4-9.307622+1 7.662580-4-7.449479+1 8.239782-4-6.554642+1 8.948067-4-5.879843+1 9.456008-4-5.683169+1 9.730200-4-5.694440+1 1.013214-3-5.313429+1 1.091060-3-4.622812+1 1.194119-3-4.051653+1 1.283267-3-3.760418+1 1.322293-3-3.735686+1 1.359316-3-3.469307+1 1.462935-3-3.089474+1 1.615615-3-2.752460+1 1.799549-3-2.485482+1 1.871323-3-2.423404+1 2.045969-3-2.223707+1 2.368162-3-2.051146+1 2.774351-3-1.989152+1 3.249905-3-2.054314+1 3.667005-3-2.235135+1 3.944715-3-2.468992+1 4.132296-3-2.755015+1 4.237570-3-3.051019+1 4.296260-3-3.382579+1 4.348618-3-3.838788+1 4.380892-3-3.898052+1 4.464613-3-3.348940+1 4.512573-3-3.231069+1 4.571900-3-3.303521+1 4.615637-3-3.390558+1 4.650000-3-3.281552+1 4.721857-3-2.826832+1 4.795597-3-2.546869+1 4.940075-3-2.233377+1 5.081036-3-2.077635+1 5.167769-3-2.086867+1 5.240730-3-2.142478+1 5.290334-3-2.032247+1 5.362980-3-1.807748+1 5.477463-3-1.606170+1 5.672602-3-1.390969+1 5.924644-3-1.208661+1 6.231470-3-1.075987+1 6.427020-3-1.043786+1 6.561022-3-1.064090+1 6.750273-3-9.496451+0 6.971000-3-9.062511+0 7.183292-3-7.898242+0 7.547713-3-6.816749+0 8.043939-3-5.899212+0 8.634754-3-5.209685+0 9.332543-3-4.717771+0 9.957592-3-4.485144+0 1.133113-2-4.332788+0 1.270757-2-4.460212+0 1.445440-2-4.858140+0 1.639542-2-5.557485+0 1.792410-2-6.403654+0 1.891749-2-7.288701+0 1.949187-2-8.138872+0 1.986593-2-9.106969+0 2.008005-2-1.018448+1 2.031045-2-1.181359+1 2.041841-2-1.204669+1 2.055078-2-1.146762+1 2.077919-2-9.739673+0 2.099538-2-8.700757+0 2.133352-2-7.813357+0 2.187171-2-6.998680+0 2.270743-2-6.351693+0 2.371688-2-6.062967+0 2.453672-2-6.157154+0 2.520723-2-6.584274+0 2.555362-2-7.166032+0 2.594757-2-8.223528+0 2.612952-2-8.157424+0 2.653214-2-7.335857+0 2.686763-2-6.951529+0 2.741711-2-5.670927+0 2.793452-2-4.944824+0 2.867649-2-4.269842+0 2.993987-2-3.508547+0 3.138428-2-2.928950+0 3.292305-2-2.508687+0 3.515632-2-2.101460+0 3.796117-2-1.781909+0 4.118659-2-1.570101+0 4.502363-2-1.450659+0 4.959811-2-1.402865+0 5.610206-2-1.426977+0 7.239370-2-1.645879+0 1.057336-1-2.225270+0 1.187522-1-2.543264+0 1.273956-1-2.879856+0 1.324069-1-3.226337+0 1.352244-1-3.590809+0 1.368324-1-4.014750+0 1.385320-1-4.663200+0 1.391976-1-4.723391+0 1.400897-1-4.495268+0 1.418435-1-3.761767+0 1.432672-1-3.398418+0 1.459138-1-3.014371+0 1.500000-1-2.661934+0 1.566952-1-2.320637+0 1.622495-1-2.131386+0 1.748246-1-1.868027+0 1.911717-1-1.682780+0 2.134582-1-1.552124+0 2.439507-1-1.475306+0 3.198895-1-1.444542+0 7.819184-1-1.536846+0 2.451607+0-1.568493+0 7.403736+0-1.579676+0 1.000000+1-1.577474+0 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 71 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 5.234069-2 1.088078-6 7.644682-2 1.151396-6 9.897569-2 1.210819-6 1.252034-1 1.266586-6 1.553529-1 1.319753-6 1.899652-1 1.369597-6 2.284434-1 1.416326-6 2.708588-1 1.460134-6 3.171241-1 1.501204-6 3.671109-1 1.539707-6 4.206542-1 1.575804-6 4.775556-1 1.641371-6 6.005016-1 1.698998-6 7.338940-1 1.725139-6 8.044346-1 1.774153-6 9.548326-1 1.817041-6 1.109068+0 1.854568-6 1.265230+0 1.887404-6 1.420890+0 1.916136-6 1.574011+0 1.941276-6 1.723954+0 1.985271-6 2.023271+0 2.018267-6 2.284327+0 2.048000-6 2.553110+0 2.080136-6 2.882528+0 2.127679-6 3.459072+0 2.164159-6 3.997910+0 2.200638-6 4.644434+0 2.221484-6 5.074025+0 2.250627-6 5.758980+0 2.277950-6 6.505988+0 2.303564-6 7.321786+0 2.327578-6 8.211019+0 2.350091-6 9.178092+0 2.371197-6 1.022758+1 2.390983-6 1.136422+1 2.409533-6 1.259295+1 2.426924-6 1.391886+1 2.443228-6 1.534726+1 2.458512-6 1.688361+1 2.472842-6 1.853355+1 2.486276-6 2.030293+1 2.498870-6 2.219776+1 2.510677-6 2.422425+1 2.521746-6 2.638877+1 2.532124-6 2.869780+1 2.541852-6 3.115793+1 2.550973-6 3.377595+1 2.560000-6 3.672464+1 2.567540-6 3.951475+1 2.575055-6 4.265130+1 2.582101-6 4.597737+1 2.588706-6 4.950227+1 2.594898-6 5.323615+1 2.600704-6 5.719037+1 2.606146-6 6.137815+1 2.611248-6 6.581513+1 2.616032-6 7.051982+1 2.620516-6 7.551348+1 2.628925-6 8.686364+1 2.636282-6 9.974921+1 2.642720-6 1.142985+2 2.648353-6 1.305024+2 2.653282-6 1.481884+2 2.657594-6 1.670423+2 2.661368-6 1.866595+2 2.664670-6 2.066043+2 2.667559-6 2.264597+2 2.672299-6 2.645169+2 2.682068-6 3.680835+2 2.690329-6 4.858857+2 2.694399-6 5.545710+2 2.697707-6 6.153520+2 2.701015-6 6.802255+2 2.707631-6 8.200648+2 2.708457-6 8.382685+2 2.714246-6 9.680012+2 2.716520-6 1.019227+3 2.720862-6 1.115368+3 2.724221-6 1.186643+3 2.727477-6 1.251578+3 2.730837-6 1.312839+3 2.734093-6 1.365305+3 2.736987-6 1.405235+3 2.740360-6 1.442749+3 2.744223-6 1.472592+3 2.747531-6 1.486209+3 2.748683-6 1.488277+3 2.751969-6 1.486487+3 2.754394-6 1.477870+3 2.760863-6 1.425613+3 2.762926-6 1.400530+3 2.767779-6 1.327389+3 2.770337-6 1.281783+3 2.773787-6 1.213917+3 2.777146-6 1.142195+3 2.780403-6 1.068809+3 2.783297-6 1.001497+3 2.786320-6 9.301373+2 2.790326-6 8.356295+2 2.793634-6 7.589583+2 2.797355-6 6.755362+2 2.800249-6 6.134609+2 2.806865-6 4.831952+2 2.809139-6 4.426184+2 2.811310-6 4.060188+2 2.815135-6 3.466885+2 2.818856-6 2.952588+2 2.822076-6 2.556390+2 2.825933-6 2.138736+2 2.828944-6 1.853277+2 2.833246-6 1.501830+2 2.836011-6 1.307929+2 2.840524-6 1.039241+2 2.845764-6 7.912544+1 2.852752-6 5.465148+1 2.863233-6 3.113861+1 2.873714-6 1.767224+1 2.880701-6 1.208046+1 2.887688-6 8.224506+0 2.898169-6 4.590975+0 2.901663-6 3.788300+0 2.905156-6 3.143078+0 2.908650-6 2.635145+0 2.910397-6 2.427437+0 2.913017-6 2.168752+0 2.914327-6 2.061806+0 2.915637-6 1.969019+0 2.917384-6 1.866423+0 2.918694-6 1.804697+0 2.919615-6 1.768841+0 2.920368-6 1.744065+0 2.921496-6 1.714330+0 2.922625-6 1.693303+0 2.924371-6 1.677430+0 2.926992-6 1.690206+0 2.929612-6 1.745011+0 2.933106-6 1.880419+0 2.936599-6 2.084011+0 2.943586-6 2.686260+0 2.950574-6 3.539447+0 2.957561-6 4.640196+0 2.964548-6 5.992356+0 2.971536-6 7.606124+0 2.978523-6 9.497838+0 2.989209-6 1.298255+1 2.999227-6 1.699234+1 3.008619-6 2.152677+1 3.017424-6 2.659732+1 3.025679-6 3.222403+1 3.053851-6 6.092935+1 3.059829-6 6.987926+1 3.065433-6 7.966010+1 3.072000-6 9.329154+1 3.075613-6 1.020346+2 3.080231-6 1.148030+2 3.084560-6 1.287413+2 3.088619-6 1.439262+2 3.092424-6 1.604178+2 3.095991-6 1.782536+2 3.099335-6 1.974445+2 3.102471-6 2.179722+2 3.108349-6 2.644515+2 3.113493-6 3.156418+2 3.117994-6 3.704047+2 3.121932-6 4.274152+2 3.131031-6 5.990950+2 3.142540-6 9.183996+2 3.149132-6 1.164458+3 3.154866-6 1.420488+3 3.157251-6 1.538848+3 3.161127-6 1.746123+3 3.165003-6 1.971391+3 3.172755-6 2.471182+3 3.173724-6 2.537712+3 3.180507-6 3.022451+3 3.183172-6 3.219424+3 3.188260-6 3.599102+3 3.192196-6 3.890656+3 3.196012-6 4.165895+3 3.200000-6 4.440330+3 3.203764-6 4.681683+3 3.207155-6 4.880446+3 3.210289-6 5.045351+3 3.212000-6 5.126861+3 3.216543-6 5.310958+3 3.220090-6 5.419288+3 3.224222-6 5.503318+3 3.228088-6 5.539113+3 3.230917-6 5.538649+3 3.234772-6 5.501977+3 3.237471-6 5.452127+3 3.243009-6 5.290829+3 3.246103-6 5.168754+3 3.248190-6 5.074727+3 3.251245-6 4.921591+3 3.254213-6 4.757210+3 3.258028-6 4.526759+3 3.261420-6 4.307476+3 3.264690-6 4.086498+3 3.269657-6 3.739874+3 3.273533-6 3.465719+3 3.277893-6 3.159402+3 3.281285-6 2.926050+3 3.289037-6 2.420756+3 3.294245-6 2.110605+3 3.296789-6 1.969134+3 3.302603-6 1.672078+3 3.309606-6 1.363911+3 3.323075-6 9.156682+2 3.327897-6 7.959054+2 3.331513-6 7.180613+2 3.336938-6 6.182765+2 3.342362-6 5.361036+2 3.346475-6 4.837360+2 3.350589-6 4.386562+2 3.354702-6 3.998167+2 3.358816-6 3.662862+2 3.362929-6 3.372496+2 3.367042-6 3.120025+2 3.375269-6 2.705656+2 3.383496-6 2.382213+2 3.391723-6 2.123652+2 3.399950-6 1.912236+2 3.408176-6 1.735927+2 3.416403-6 1.586469+2 3.424630-6 1.458076+2 3.432857-6 1.346574+2 3.441084-6 1.248866+2 3.449310-6 1.162591+2 3.457537-6 1.085907+2 3.465764-6 1.017350+2 3.473991-6 9.557417+1 3.482218-6 9.001173+1 3.498671-6 8.037671+1 3.506898-6 7.618177+1 3.522956-6 6.896292+1 3.538009-6 6.315944+1 3.552123-6 5.840835+1 3.565354-6 5.445895+1 3.590162-6 4.811853+1 3.611869-6 4.347902+1 3.630862-6 3.997394+1 3.647482-6 3.725957+1 3.676566-6 3.315376+1 3.698379-6 3.051223+1 3.731099-6 2.710225+1 3.773083-6 2.347520+1 3.819403-6 2.021928+1 3.884252-6 1.660173+1 3.949102-6 1.374609+1 4.001338-6 1.185819+1 4.184165-6 6.519279+0 4.229872-6 5.311927+0 4.247012-6 4.867691+0 4.262009-6 4.477188+0 4.275132-6 4.131662+0 4.298097-6 3.512691+0 4.315321-6 3.033658+0 4.328239-6 2.668020+0 4.337927-6 2.393990+0 4.345193-6 2.191613+0 4.350643-6 2.043418+0 4.360861-6 1.779313+0 4.373038-6 1.501396+0 4.377741-6 1.408866+0 4.383115-6 1.315470+0 4.385802-6 1.274186+0 4.388490-6 1.236749+0 4.391177-6 1.203316+0 4.397223-6 1.143386+0 4.400582-6 1.119540+0 4.409987-6 1.089305+0 4.411919-6 1.089680+0 4.414123-6 1.092766+0 4.420736-6 1.118299+0 4.424872-6 1.145837+0 4.429005-6 1.181385+0 4.434004-6 1.233984+0 4.440498-6 1.315985+0 4.448448-6 1.434726+0 4.453654-6 1.523233+0 4.459952-6 1.643933+0 4.463731-6 1.725713+0 4.474816-6 2.030396+0 4.478822-6 2.176378+0 4.484428-6 2.428769+0 4.488262-6 2.642851+0 4.491638-6 2.865891+0 4.495978-6 3.209666+0 4.499187-6 3.512227+0 4.502715-6 3.899671+0 4.507177-6 4.484128+0 4.512186-6 5.285294+0 4.519552-6 6.791690+0 4.531924-6 1.038697+1 4.535036-6 1.153103+1 4.540887-6 1.396515+1 4.545594-6 1.619871+1 4.548579-6 1.774371+1 4.553565-6 2.054422+1 4.557659-6 2.304274+1 4.559589-6 2.427972+1 4.565896-6 2.856776+1 4.569608-6 3.124797+1 4.573688-6 3.430496+1 4.578475-6 3.800784+1 4.583012-6 4.159421+1 4.587434-6 4.511866+1 4.592087-6 4.881243+1 4.596816-6 5.249687+1 4.599277-6 5.436810+1 4.605741-6 5.906534+1 4.610377-6 6.217997+1 4.612803-6 6.370633+1 4.617851-6 6.662194+1 4.621227-6 6.835463+1 4.632405-6 7.268172+1 4.636122-6 7.360256+1 4.638485-6 7.404805+1 4.646536-6 7.474407+1 4.650150-6 7.464834+1 4.653429-6 7.434964+1 4.658809-6 7.344212+1 4.664850-6 7.184880+1 4.669895-6 7.010079+1 4.674761-6 6.810175+1 4.681933-6 6.469024+1 4.687483-6 6.175439+1 4.690258-6 6.021402+1 4.696502-6 5.662574+1 4.698583-6 5.540411+1 4.709684-6 4.883727+1 4.717669-6 4.421992+1 4.727882-6 3.865777+1 4.757440-6 2.584221+1 4.768627-6 2.235515+1 4.777269-6 2.011523+1 4.785841-6 1.823307+1 4.792967-6 1.689025+1 4.807209-6 1.469611+1 4.819671-6 1.318759+1 4.830575-6 1.209614+1 4.849657-6 1.054097+1 4.863968-6 9.575987+0 4.885436-6 8.331388+0 4.906961-6 7.235273+0 4.919039-6 6.660939+0 4.931117-6 6.105634+0 4.943195-6 5.564684+0 4.955692-6 5.018979+0 4.967890-6 4.504121+0 4.992285-6 3.578132+0 4.998384-6 3.384586+0 5.004483-6 3.214189+0 5.011377-6 3.055730+0 5.014825-6 2.992440+0 5.018272-6 2.941164+0 5.022711-6 2.894569+0 5.042975-6 3.022039+0 5.044519-6 3.058358+0 5.049923-6 3.218931+0 5.053976-6 3.374726+0 5.057762-6 3.548538+0 5.060540-6 3.693828+0 5.069690-6 4.279330+0 5.075886-6 4.768156+0 5.092078-6 6.366208+0 5.100382-6 7.331897+0 5.106664-6 8.106115+0 5.114406-6 9.087878+0 5.119825-6 9.777850+0 5.125631-6 1.050508+1 5.131437-6 1.120611+1 5.132861-6 1.137239+1 5.140334-6 1.219811+1 5.145230-6 1.268710+1 5.156210-6 1.359558+1 5.160468-6 1.386784+1 5.168596-6 1.425045+1 5.174877-6 1.441767+1 5.178461-6 1.446222+1 5.181597-6 1.447106+1 5.187085-6 1.442009+1 5.191201-6 1.432810+1 5.194288-6 1.423014+1 5.201234-6 1.392458+1 5.203549-6 1.379829+1 5.213467-6 1.313659+1 5.216773-6 1.287817+1 5.225383-6 1.213594+1 5.228253-6 1.187067+1 5.240605-6 1.066673+1 5.243623-6 1.036434+1 5.254189-6 9.310187+0 5.266603-6 8.131051+0 5.283365-6 6.749063+0 5.290672-6 6.248414+0 5.297151-6 5.863760+0 5.303630-6 5.537669+0 5.306870-6 5.397093+0 5.316589-6 5.065860+0 5.319828-6 4.985351+0 5.324688-6 4.891937+0 5.329547-6 4.830360+0 5.333433-6 4.803077+0 5.336832-6 4.794452+0 5.342782-6 4.811420+0 5.347244-6 4.848756+0 5.350590-6 4.889251+0 5.358120-6 5.014291+0 5.369413-6 5.268426+0 5.386344-6 5.716681+0 5.396492-6 5.974243+0 5.399897-6 6.052871+0 5.410111-6 6.254332+0 5.413482-6 6.307498+0 5.418999-6 6.378554+0 5.426569-6 6.442197+0 5.431776-6 6.462936+0 5.435682-6 6.466425+0 5.444469-6 6.438787+0 5.447398-6 6.419553+0 5.459133-6 6.301160+0 5.472091-6 6.116849+0 5.501831-6 5.662182+0 5.513463-6 5.523032+0 5.524872-6 5.419844+0 5.536281-6 5.348368+0 5.553102-6 5.288148+0 5.605954-6 5.199157+0 5.626284-6 5.141818+0 5.687173-6 4.904355+0 5.773108-6 4.536095+0 5.797545-6 4.460019+0 5.821751-6 4.419981+0 5.840713-6 4.413578+0 5.892632-6 4.435880+0 5.915892-6 4.418049+0 5.933189-6 4.382016+0 5.951797-6 4.322315+0 5.960470-6 4.288371+0 6.004059-6 4.087434+0 6.046892-6 3.892001+0 6.083475-6 3.749360+0 6.164173-6 3.479612+0 6.228160-6 3.254897+0 6.292147-6 3.010529+0 6.356268-6 2.755370+0 6.420389-6 2.497569+0 6.482373-6 2.251348+0 6.544357-6 2.012617+0 6.683055-6 1.507341+0 6.732313-6 1.331358+0 6.782025-6 1.151286+0 6.824234-6 9.975884-1 6.848308-6 9.108839-1 6.864879-6 8.520897-1 6.883306-6 7.879098-1 6.900249-6 7.303347-1 6.917191-6 6.744693-1 6.934133-6 6.206890-1 6.951076-6 5.694261-1 7.008145-6 4.221681-1 7.018845-6 4.001122-1 7.035788-6 3.694734-1 7.044259-6 3.562199-1 7.052730-6 3.443892-1 7.061201-6 3.340078-1 7.069672-6 3.251012-1 7.078144-6 3.177016-1 7.086615-6 3.118576-1 7.095086-6 3.076481-1 7.103557-6 3.051979-1 7.112028-6 3.046966-1 7.120500-6 3.064195-1 7.127912-6 3.100507-1 7.135059-6 3.157603-1 7.142414-6 3.243112-1 7.147940-6 3.328341-1 7.154384-6 3.454365-1 7.158620-6 3.555085-1 7.161797-6 3.641078-1 7.166562-6 3.788690-1 7.171327-6 3.961186-1 7.175562-6 4.137969-1 7.181916-6 4.450253-1 7.188269-6 4.827716-1 7.194028-6 5.235545-1 7.201060-6 5.832757-1 7.206333-6 6.363836-1 7.214243-6 7.318428-1 7.222154-6 8.498732-1 7.229443-6 9.827733-1 7.238296-6 1.182139+0 7.247150-6 1.432510+0 7.256003-6 1.746038+0 7.264857-6 2.137532+0 7.273710-6 2.624901+0 7.309125-6 6.023112+0 7.322405-6 8.186800+0 7.335686-6 1.105551+1 7.346753-6 1.410842+1 7.357820-6 1.787843+1 7.366120-6 2.124373+1 7.375048-6 2.543746+1 7.385226-6 3.101272+1 7.394819-6 3.710513+1 7.400667-6 4.123970+1 7.406514-6 4.570328+1 7.414885-6 5.267477+1 7.423255-6 6.033517+1 7.443035-6 8.107557+1 7.460771-6 1.024063+2 7.466625-6 1.098783+2 7.478893-6 1.259729+2 7.484978-6 1.340686+2 7.494147-6 1.462396+2 7.502289-6 1.568606+2 7.510795-6 1.675856+2 7.517655-6 1.758334+2 7.526148-6 1.853896+2 7.532914-6 1.923715+2 7.543923-6 2.023016+2 7.552045-6 2.083307+2 7.561063-6 2.135895+2 7.569689-6 2.171067+2 7.577280-6 2.189276+2 7.586216-6 2.195156+2 7.592431-6 2.189360+2 7.606210-6 2.148497+2 7.614866-6 2.104247+2 7.623256-6 2.048964+2 7.632489-6 1.975585+2 7.641438-6 1.893720+2 7.649392-6 1.813641+2 7.657063-6 1.731271+2 7.668710-6 1.599367+2 7.677801-6 1.493106+2 7.692006-6 1.326064+2 7.695983-6 1.279808+2 7.714165-6 1.075803+2 7.720415-6 1.009588+2 7.732347-6 8.902394+1 7.746113-6 7.654146+1 7.769678-6 5.859625+1 7.794438-6 4.424498+1 7.804080-6 3.977513+1 7.813571-6 3.591354+1 7.822914-6 3.258341+1 7.832111-6 2.971342+1 7.841164-6 2.723885+1 7.858988-6 2.322469+1 7.876255-6 2.020259+1 7.892982-6 1.788689+1 7.909186-6 1.607412+1 7.924884-6 1.462245+1 7.940092-6 1.343402+1 7.954824-6 1.244134+1 7.983367-6 1.084731+1 8.010127-6 9.637440+0 8.035214-6 8.681326+0 8.058733-6 7.903381+0 8.102832-6 6.674066+0 8.175181-6 5.098472+0 8.234266-6 4.074520+0 8.322893-6 2.807551+0 8.367207-6 2.259464+0 8.411521-6 1.759720+0 8.432225-6 1.543301+0 8.452929-6 1.339434+0 8.473633-6 1.150836+0 8.504689-6 9.069216-1 8.515041-6 8.395194-1 8.524539-6 7.854648-1 8.539472-6 7.183162-1 8.546938-6 6.942117-1 8.554404-6 6.773055-1 8.562675-6 6.678399-1 8.568877-6 6.677101-1 8.573529-6 6.718240-1 8.577018-6 6.774018-1 8.582252-6 6.899589-1 8.587486-6 7.077729-1 8.592097-6 7.280263-1 8.595405-6 7.452807-1 8.598299-6 7.622994-1 8.603364-6 7.965135-1 8.618560-6 9.346094-1 8.626160-6 1.024496+0 8.635816-6 1.159301+0 8.655088-6 1.496812+0 8.675930-6 1.955695+0 8.680430-6 2.065496+0 8.696357-6 2.475958+0 8.703047-6 2.655125+0 8.710386-6 2.853381+0 8.718299-6 3.066355+0 8.725326-6 3.252188+0 8.734360-6 3.482627+0 8.742347-6 3.674658+0 8.750578-6 3.857364+0 8.759217-6 4.028771+0 8.767098-6 4.164012+0 8.775711-6 4.286098+0 8.783286-6 4.369604+0 8.792830-6 4.441701+0 8.801978-6 4.476040+0 8.808942-6 4.480172+0 8.818722-6 4.456547+0 8.829342-6 4.398043+0 8.847318-6 4.251475+0 8.862301-6 4.130508+0 8.871361-6 4.083755+0 8.877684-6 4.073072+0 8.884449-6 4.089316+0 8.889629-6 4.125932+0 8.893859-6 4.174342+0 8.899411-6 4.267098+0 8.905210-6 4.404708+0 8.906549-6 4.443025+0 8.917120-6 4.844841+0 8.921745-6 5.082979+0 8.926854-6 5.396583+0 8.929631-6 5.591039+0 8.934432-6 5.970231+0 8.937807-6 6.271627+0 8.944045-6 6.910501+0 8.948832-6 7.478361+0 8.959403-6 8.997735+0 8.969974-6 1.092803+1 8.996924-6 1.809738+1 9.008543-6 2.235572+1 9.016335-6 2.565496+1 9.023472-6 2.900527+1 9.034176-6 3.464285+1 9.043542-6 4.019433+1 9.044880-6 4.103507+1 9.067400-6 5.695931+1 9.071315-6 6.005994+1 9.090572-6 7.660833+1 9.097711-6 8.322941+1 9.112543-6 9.763044+1 9.123054-6 1.082064+2 9.129320-6 1.145861+2 9.138274-6 1.237192+2 9.145470-6 1.310061+2 9.153289-6 1.387980+2 9.163726-6 1.488630+2 9.171864-6 1.563361+2 9.178495-6 1.621170+2 9.189226-6 1.707650+2 9.199718-6 1.782280+2 9.206914-6 1.827022+2 9.217100-6 1.880479+2 9.223138-6 1.906369+2 9.244956-6 1.961607+2 9.253214-6 1.966434+2 9.266418-6 1.955932+2 9.276740-6 1.932654+2 9.287048-6 1.897035+2 9.293674-6 1.868066+2 9.304538-6 1.811237+2 9.314735-6 1.748543+2 9.323252-6 1.690261+2 9.334203-6 1.608851+2 9.344618-6 1.526200+2 9.355033-6 1.440026+2 9.360571-6 1.393278+2 9.368879-6 1.322538+2 9.377186-6 1.251654+2 9.401629-6 1.047929+2 9.435964-6 7.915094+1 9.456691-6 6.607901+1 9.493885-6 4.760591+1 9.512981-6 4.046481+1 9.524248-6 3.691315+1 9.535515-6 3.380521+1 9.551172-6 3.014818+1 9.562915-6 2.785353+1 9.580529-6 2.503104+1 9.598683-6 2.277921+1 9.610840-6 2.158281+1 9.619394-6 2.086981+1 9.632144-6 1.998003+1 9.648591-6 1.909474+1 9.660926-6 1.859326+1 9.670177-6 1.829393+1 9.684054-6 1.794839+1 9.697931-6 1.770397+1 9.709636-6 1.755867+1 9.721341-6 1.745478+1 9.779116-6 1.716264+1 9.798613-6 1.702266+1 9.817507-6 1.682444+1 9.842143-6 1.645695+1 9.863252-6 1.604256+1 9.886505-6 1.549104+1 9.909970-6 1.485409+1 9.933404-6 1.416245+1 9.972804-6 1.294100+1 1.000529-5 1.193507+1 1.010828-5 9.130885+0 1.013954-5 8.457977+0 1.016877-5 7.917649+0 1.018709-5 7.622466+0 1.020543-5 7.358977+0 1.022647-5 7.093429+0 1.024954-5 6.841868+0 1.028218-5 6.543431+0 1.032787-5 6.200589+0 1.040000-5 5.724732+0 1.044232-5 5.438541+0 1.052875-5 4.786932+0 1.057875-5 4.375420+0 1.063241-5 3.961575+0 1.064923-5 3.855172+0 1.068289-5 3.707147+0 1.069429-5 3.683025+0 1.072035-5 3.690804+0 1.074654-5 3.800699+0 1.075309-5 3.845553+0 1.077273-5 4.022814+0 1.078686-5 4.189025+0 1.080371-5 4.426776+0 1.082424-5 4.766231+0 1.085550-5 5.353787+0 1.088177-5 5.866454+0 1.089822-5 6.173218+0 1.090753-5 6.336354+0 1.093430-5 6.742997+0 1.094087-5 6.825274+0 1.096057-5 7.023295+0 1.097294-5 7.107386+0 1.098475-5 7.157314+0 1.099655-5 7.177341+0 1.100608-5 7.171966+0 1.102037-5 7.129079+0 1.103467-5 7.046923+0 1.104776-5 6.940344+0 1.106086-5 6.807385+0 1.108705-5 6.477941+0 1.111325-5 6.091248+0 1.112832-5 5.855408+0 1.116909-5 5.218517+0 1.120204-5 4.750708+0 1.122407-5 4.479267+0 1.123373-5 4.372693+0 1.125156-5 4.197475+0 1.127905-5 3.983885+0 1.130654-5 3.838537+0 1.132387-5 3.779875+0 1.134120-5 3.744120+0 1.135315-5 3.731300+0 1.137109-5 3.727441+0 1.138902-5 3.738258+0 1.147149-5 3.850195+0 1.150542-5 3.867865+0 1.151998-5 3.864212+0 1.155274-5 3.830459+0 1.159018-5 3.755286+0 1.163644-5 3.632064+0 1.171653-5 3.421723+0 1.177149-5 3.309120+0 1.189468-5 3.113097+0 1.196805-5 2.992754+0 1.204425-5 2.839883+0 1.209659-5 2.711789+0 1.212461-5 2.635981+0 1.218614-5 2.459722+0 1.227150-5 2.228758+0 1.231618-5 2.130571+0 1.234856-5 2.071841+0 1.238232-5 2.021064+0 1.242571-5 1.968454+0 1.256419-5 1.838268+0 1.259825-5 1.805438+0 1.274588-5 1.646397+0 1.290000-5 1.469862+0 1.300947-5 1.347227+0 1.324167-5 1.108422+0 1.346982-5 9.044824-1 1.386093-5 6.314027-1 1.409582-5 5.222902-1 1.425988-5 4.724190-1 1.440102-5 4.490676-1 1.453465-5 4.443828-1 1.464059-5 4.534628-1 1.474073-5 4.733754-1 1.479108-5 4.878550-1 1.489529-5 5.276105-1 1.512712-5 6.614153-1 1.530046-5 8.067019-1 1.544539-5 9.632170-1 1.566139-5 1.259351+0 1.588822-5 1.655041+0 1.611504-5 2.037335+0 1.617900-5 2.088004+0 1.641738-5 1.977717+0 1.659331-5 1.776008+0 1.683901-5 1.493023+0 1.700962-5 1.306101+0 1.716718-5 1.142732+0 1.732106-5 9.939424-1 1.747012-5 8.626664-1 1.761835-5 7.474377-1 1.775443-5 6.578571-1 1.788996-5 5.873416-1 1.802125-5 5.403446-1 1.814844-5 5.186138-1 1.821574-5 5.181228-1 1.827165-5 5.242255-1 1.831767-5 5.340292-1 1.839101-5 5.592660-1 1.850664-5 6.254885-1 1.861866-5 7.246701-1 1.873152-5 8.651038-1 1.883231-5 1.030324+0 1.893415-5 1.241266+0 1.903281-5 1.494004+0 1.939757-5 2.973182+0 1.956592-5 4.041106+0 1.972375-5 5.341556+0 1.987172-5 6.894115+0 2.014049-5 1.082806+1 2.058434-5 2.242174+1 2.076682-5 3.024770+1 2.092720-5 3.949608+1 2.106816-5 5.017565+1 2.119205-5 6.224692+1 2.130093-5 7.561988+1 2.139972-5 9.069269+1 2.148830-5 1.073106+2 2.156180-5 1.239736+2 2.162798-5 1.418176+2 2.168589-5 1.602037+2 2.175379-5 1.859588+2 2.178090-5 1.977965+2 2.181969-5 2.165965+2 2.188758-5 2.559426+2 2.195104-5 3.023095+2 2.197669-5 3.243559+2 2.203397-5 3.820255+2 2.206261-5 4.159224+2 2.209125-5 4.536992+2 2.215084-5 5.464511+2 2.224224-5 7.329430+2 2.240647-5 1.242949+3 2.251597-5 1.762204+3 2.257717-5 2.151979+3 2.260850-5 2.390140+3 2.268937-5 3.167170+3 2.274766-5 3.912553+3 2.285781-5 5.859951+3 2.290855-5 7.006959+3 2.296978-5 8.566184+3 2.298903-5 9.084236+3 2.303155-5 1.024972+4 2.306014-5 1.103118+4 2.308553-5 1.170842+4 2.310186-5 1.212969+4 2.312762-5 1.276309+4 2.315035-5 1.328069+4 2.317543-5 1.379668+4 2.319723-5 1.419000+4 2.323003-5 1.467063+4 2.325565-5 1.494284+4 2.328549-5 1.513658+4 2.331186-5 1.519246+4 2.333384-5 1.515505+4 2.335995-5 1.501230+4 2.337874-5 1.484507+4 2.342054-5 1.429158+4 2.344106-5 1.393571+4 2.345708-5 1.362361+4 2.347997-5 1.313071+4 2.349469-5 1.278798+4 2.351893-5 1.218596+4 2.353561-5 1.174940+4 2.355749-5 1.115482+4 2.358563-5 1.036536+4 2.361362-5 9.565808+3 2.364162-5 8.765935+3 2.367311-5 7.880998+3 2.369760-5 7.212932+3 2.375359-5 5.784429+3 2.377283-5 5.331867+3 2.379120-5 4.920396+3 2.382357-5 4.246432+3 2.385506-5 3.654771+3 2.388256-5 3.190010+3 2.391134-5 2.754169+3 2.395868-5 2.144675+3 2.406623-5 1.193584+3 2.408097-5 1.103115+3 2.412518-5 8.791937+2 2.414544-5 7.980737+2 2.418413-5 6.758138+2 2.419245-5 6.545802+2 2.420701-5 6.213530+2 2.421794-5 5.995441+2 2.425071-5 5.486467+2 2.426610-5 5.315215+2 2.427177-5 5.262014+2 2.428516-5 5.156003+2 2.429520-5 5.093583+2 2.431026-5 5.025210+2 2.432532-5 4.984463+2 2.433714-5 4.969918+2 2.435654-5 4.975399+2 2.437238-5 5.003401+2 2.439318-5 5.066765+2 2.441991-5 5.182806+2 2.447149-5 5.471892+2 2.452744-5 5.804715+2 2.454148-5 5.881809+2 2.460131-5 6.147531+2 2.462483-5 6.216674+2 2.464729-5 6.261343+2 2.467908-5 6.287765+2 2.471186-5 6.270327+2 2.474021-5 6.220782+2 2.477871-5 6.108078+2 2.481951-5 5.941919+2 2.488063-5 5.632558+2 2.490802-5 5.481110+2 2.503999-5 4.768492+2 2.512084-5 4.412637+2 2.515063-5 4.301566+2 2.522354-5 4.070558+2 2.524602-5 4.009303+2 2.532075-5 3.830187+2 2.573438-5 3.069353+2 2.588682-5 2.845238+2 2.599336-5 2.713151+2 2.615000-5 2.549645+2 2.637738-5 2.355064+2 2.673506-5 2.101595+2 2.700602-5 1.934838+2 2.736022-5 1.744522+2 2.756798-5 1.646410+2 2.785773-5 1.524219+2 2.813513-5 1.420420+2 2.843606-5 1.319705+2 2.888200-5 1.188924+2 2.931577-5 1.079463+2 3.024301-5 8.882815+1 3.221998-5 6.045218+1 3.276800-5 5.473215+1 3.328710-5 5.010683+1 3.353942-5 4.817674+1 3.377598-5 4.660452+1 3.399775-5 4.537384+1 3.421210-5 4.444340+1 3.440057-5 4.387312+1 3.458045-5 4.359063+1 3.474926-5 4.360785+1 3.490959-5 4.391829+1 3.505637-5 4.445675+1 3.532940-5 4.580690+1 3.541902-5 4.618859+1 3.550695-5 4.645359+1 3.559226-5 4.657876+1 3.574512-5 4.648199+1 3.595484-5 4.607657+1 3.603910-5 4.606183+1 3.611817-5 4.626494+1 3.619237-5 4.674312+1 3.622775-5 4.709958+1 3.626201-5 4.754074+1 3.632841-5 4.871662+1 3.639065-5 5.029544+1 3.644901-5 5.231147+1 3.650371-5 5.479980+1 3.655845-5 5.802524+1 3.660308-5 6.133818+1 3.664816-5 6.545951+1 3.669042-5 7.019194+1 3.673004-5 7.556093+1 3.676718-5 8.158395+1 3.680888-5 8.972506+1 3.683464-5 9.561217+1 3.686525-5 1.035998+2 3.692263-5 1.220493+2 3.697284-5 1.427759+2 3.701677-5 1.652850+2 3.705522-5 1.890101+2 3.708885-5 2.133741+2 3.714404-5 2.619322+2 3.722291-5 3.540202+2 3.734728-5 5.709187+2 3.741618-5 7.392269+2 3.747919-5 9.291198+2 3.752564-5 1.093270+3 3.759992-5 1.401073+3 3.762985-5 1.541239+3 3.765977-5 1.690650+3 3.775778-5 2.241548+3 3.777940-5 2.374696+3 3.784426-5 2.794767+3 3.787975-5 3.035067+3 3.794499-5 3.487823+3 3.797485-5 3.696476+3 3.801752-5 3.992050+3 3.805180-5 4.224323+3 3.808998-5 4.473938+3 3.813066-5 4.725390+3 3.816678-5 4.932606+3 3.820995-5 5.156138+3 3.826222-5 5.385205+3 3.830375-5 5.530270+3 3.834815-5 5.645623+3 3.839249-5 5.717387+3 3.840821-5 5.732093+3 3.849780-5 5.707703+3 3.854007-5 5.633620+3 3.859365-5 5.485859+3 3.863121-5 5.349284+3 3.867972-5 5.137248+3 3.870323-5 5.021704+3 3.874326-5 4.808524+3 3.877217-5 4.643550+3 3.881012-5 4.415828+3 3.884671-5 4.187137+3 3.890502-5 3.811620+3 3.895114-5 3.511528+3 3.900303-5 3.177536+3 3.904338-5 2.924313+3 3.913563-5 2.380848+3 3.916051-5 2.244808+3 3.927413-5 1.691891+3 3.937919-5 1.286349+3 3.946643-5 1.024942+3 3.952579-5 8.828619+2 3.956189-5 8.092868+2 3.959800-5 7.446301+2 3.962564-5 7.007302+2 3.966375-5 6.475418+2 3.970557-5 5.980835+2 3.972985-5 5.732466+2 3.977143-5 5.366311+2 3.981189-5 5.073977+2 3.984012-5 4.902810+2 3.987873-5 4.706840+2 3.990566-5 4.593085+2 3.996310-5 4.403316+2 4.000087-5 4.310846+2 4.007316-5 4.187155+2 4.009404-5 4.161466+2 4.019732-5 4.076319+2 4.047332-5 3.949391+2 4.058361-5 3.884570+2 4.080659-5 3.725812+2 4.106755-5 3.547395+2 4.161009-5 3.255511+2 4.206129-5 3.006394+2 4.230861-5 2.885755+2 4.253984-5 2.793088+2 4.279475-5 2.710860+2 4.315191-5 2.619581+2 4.339787-5 2.567395+2 4.392177-5 2.476304+2 4.419141-5 2.438205+2 4.470747-5 2.378302+2 4.518854-5 2.334437+2 4.590904-5 2.285193+2 4.659934-5 2.254369+2 4.757357-5 2.233148+2 4.841724-5 2.228480+2 4.915200-5 2.233138+2 4.979983-5 2.244084+2 5.100653-5 2.279889+2 5.229256-5 2.333015+2 5.343967-5 2.392815+2 5.522670-5 2.509044+2 5.700000-5 2.644484+2 6.012245-5 2.924401+2 6.068674-5 2.980161+2 6.098497-5 3.016518+2 6.139480-5 3.084014+2 6.186022-5 3.192644+2 6.239172-5 3.332751+2 6.263801-5 3.386298+2 6.284401-5 3.421066+2 6.315119-5 3.457764+2 6.391344-5 3.532087+2 6.458309-5 3.632908+2 6.532900-5 3.753913+2 6.770242-5 4.089582+2 7.244360-5 4.885849+2 7.500422-5 5.341737+2 7.807904-5 5.908669+2 8.150000-5 6.552294+2 8.465694-5 7.147967+2 8.823865-5 7.808639+2 9.120108-5 8.335248+2 9.450977-5 8.888850+2 9.772372-5 9.372664+2 1.011579-4 9.807092+2 1.048398-4 1.016989+3 1.074842-4 1.033696+3 1.098353-4 1.041712+3 1.122018-4 1.040295+3 1.139159-4 1.032412+3 1.156779-4 1.016531+3 1.171297-4 9.961761+2 1.185010-4 9.694643+2 1.195820-4 9.468267+2 1.206073-4 9.407018+2 1.206939-4 9.415995+2 1.215337-4 9.649006+2 1.221934-4 1.002565+3 1.228329-4 1.057386+3 1.232851-4 1.110712+3 1.236906-4 1.173353+3 1.239257-4 1.218405+3 1.243833-4 1.331353+3 1.246883-4 1.431257+3 1.248408-4 1.490551+3 1.251458-4 1.631441+3 1.254509-4 1.806885+3 1.256796-4 1.964254+3 1.259222-4 2.157224+3 1.263659-4 2.581314+3 1.266710-4 2.922519+3 1.270146-4 3.344702+3 1.273233-4 3.744494+3 1.276239-4 4.136343+3 1.278290-4 4.396745+3 1.279923-4 4.595614+3 1.281683-4 4.798327+3 1.283717-4 5.013086+3 1.285352-4 5.167356+3 1.287248-4 5.322095+3 1.288961-4 5.436718+3 1.290693-4 5.525790+3 1.292376-4 5.584437+3 1.294659-4 5.617253+3 1.295508-4 5.615261+3 1.297859-4 5.569034+3 1.299336-4 5.509708+3 1.301155-4 5.405755+3 1.303106-4 5.258971+3 1.305227-4 5.062744+3 1.306972-4 4.877224+3 1.309299-4 4.604042+3 1.310462-4 4.459468+3 1.312837-4 4.155004+3 1.316667-4 3.661898+3 1.325008-4 2.728779+3 1.327759-4 2.487939+3 1.329262-4 2.371265+3 1.332375-4 2.161113+3 1.335630-4 1.982033+3 1.340868-4 1.762725+3 1.346987-4 1.580230+3 1.353326-4 1.439466+3 1.362545-4 1.278520+3 1.367522-4 1.208770+3 1.371876-4 1.165105+3 1.375128-4 1.150306+3 1.377842-4 1.154739+3 1.379747-4 1.169274+3 1.381631-4 1.194393+3 1.382925-4 1.218452+3 1.384031-4 1.243681+3 1.390172-4 1.468520+3 1.391905-4 1.558824+3 1.394282-4 1.701341+3 1.401883-4 2.283296+3 1.405135-4 2.574544+3 1.408107-4 2.849900+3 1.410412-4 3.062750+3 1.412546-4 3.253747+3 1.414724-4 3.437681+3 1.415699-4 3.514980+3 1.417948-4 3.678134+3 1.418498-4 3.714350+3 1.421636-4 3.888463+3 1.423121-4 3.949420+3 1.425306-4 4.011570+3 1.427175-4 4.037839+3 1.428987-4 4.039522+3 1.430950-4 4.015729+3 1.432590-4 3.976654+3 1.434698-4 3.903211+3 1.437252-4 3.784475+3 1.438955-4 3.690851+3 1.441509-4 3.534927+3 1.445517-4 3.270612+3 1.453620-4 2.758482+3 1.457908-4 2.535153+3 1.461110-4 2.395539+3 1.463564-4 2.303740+3 1.468547-4 2.153391+3 1.474681-4 2.020869+3 1.483618-4 1.895789+3 1.489544-4 1.841001+3 1.496773-4 1.794368+3 1.504463-4 1.761841+3 1.514601-4 1.733997+3 1.548000-4 1.663480+3 1.579873-4 1.616874+3 1.619531-4 1.584035+3 1.680000-4 1.560476+3 1.714232-4 1.547919+3 1.779032-4 1.513763+3 1.819701-4 1.485308+3 1.888690-4 1.429992+3 1.956110-4 1.372029+3 2.055136-4 1.286696+3 2.180694-4 1.183410+3 2.372256-4 1.044053+3 2.477500-4 9.747254+2 2.548768-4 9.279273+2 2.609409-4 8.837134+2 2.662413-4 8.431211+2 2.680370-4 8.336357+2 2.696456-4 8.292835+2 2.715910-4 8.292050+2 2.780347-4 8.369712+2 2.840000-4 8.338300+2 2.951209-4 8.194118+2 3.127767-4 7.921063+2 3.260000-4 7.711288+2 3.436957-4 7.432833+2 3.570685-4 7.195553+2 3.658652-4 7.027516+2 3.689000-4 6.997985+2 3.775672-4 7.001314+2 3.944892-4 6.893889+2 4.230428-4 6.573649+2 4.386904-4 6.345340+2 4.473170-4 6.225714+2 4.561561-4 6.139082+2 4.731513-4 5.928199+2 4.932222-4 5.618713+2 5.109347-4 5.303970+2 5.283065-4 4.954499+2 5.452841-4 4.562447+2 5.605830-4 4.155472+2 5.684895-4 3.924681+2 5.805312-4 3.572268+2 5.903845-4 3.298152+2 5.961997-4 3.130010+2 6.010000-4 2.977286+2 6.067500-4 2.780598+2 6.090000-4 2.700895+2 6.120162-4 2.591870+2 6.170713-4 2.403580+2 6.212500-4 2.244127+2 6.252500-4 2.091569+2 6.330000-4 1.813828+2 6.362109-4 1.713547+2 6.395682-4 1.623379+2 6.427500-4 1.555608+2 6.456542-4 1.512049+2 6.484325-4 1.489507+2 6.507817-4 1.486936+2 6.540918-4 1.511959+2 6.566272-4 1.556019+2 6.594868-4 1.633983+2 6.619209-4 1.725560+2 6.648114-4 1.866083+2 6.677487-4 2.045503+2 6.722782-4 2.396070+2 6.775399-4 2.916395+2 6.850000-4 3.856096+2 6.888118-4 4.419399+2 6.928736-4 5.071987+2 6.961882-4 5.637798+2 7.000000-4 6.317442+2 7.040000-4 7.054983+2 7.060000-4 7.430201+2 7.090000-4 7.997855+2 7.120000-4 8.567902+2 7.170000-4 9.513410+2 7.220000-4 1.044076+3 7.260000-4 1.116236+3 7.300000-4 1.186210+3 7.365429-4 1.295475+3 7.418438-4 1.379060+3 7.500000-4 1.498683+3 7.560000-4 1.579270+3 7.620000-4 1.653232+3 7.703609-4 1.745917+3 7.791178-4 1.832382+3 7.871382-4 1.903289+3 7.981981-4 1.989794+3 8.100941-4 2.071732+3 8.229669-4 2.149223+3 8.351285-4 2.212987+3 8.511380-4 2.286121+3 8.655766-4 2.343042+3 8.854748-4 2.409509+3 9.059836-4 2.463536+3 9.249433-4 2.499160+3 9.426041-4 2.520460+3 9.609040-4 2.550562+3 9.661368-4 2.577593+3 9.732125-4 2.629216+3 9.792769-4 2.666521+3 9.822523-4 2.674605+3 9.869347-4 2.670038+3 9.956879-4 2.630304+3 9.990671-4 2.619590+3 1.002287-3 2.617561+3 1.008211-3 2.636680+3 1.015066-3 2.685823+3 1.038039-3 2.899500+3 1.046232-3 2.964909+3 1.053778-3 3.001176+3 1.067301-3 3.043418+3 1.084295-3 3.135093+3 1.099843-3 3.211103+3 1.124000-3 3.296846+3 1.150000-3 3.366272+3 1.185945-3 3.443376+3 1.225453-3 3.506912+3 1.269142-3 3.559499+3 1.299882-3 3.575554+3 1.335142-3 3.572410+3 1.342821-3 3.579314+3 1.352130-3 3.599631+3 1.365910-3 3.651679+3 1.388695-3 3.746379+3 1.404648-3 3.793859+3 1.432608-3 3.848299+3 1.467869-3 3.891635+3 1.513562-3 3.930440+3 1.569008-3 3.964099+3 1.623163-3 3.983579+3 1.742771-3 3.998716+3 1.780376-3 4.013651+3 1.826995-3 4.015218+3 1.906176-3 3.992031+3 1.947213-3 3.999785+3 1.979818-3 4.010917+3 2.035870-3 4.012637+3 2.124556-3 3.996866+3 2.216282-3 3.969434+3 2.323688-3 3.929545+3 2.449566-3 3.877073+3 2.583300-3 3.807421+3 2.719337-3 3.729265+3 2.869541-3 3.636012+3 3.037479-3 3.524433+3 3.211469-3 3.403712+3 3.375893-3 3.276268+3 3.534338-3 3.147178+3 3.684117-3 3.014633+3 3.804450-3 2.899451+3 3.917489-3 2.782150+3 4.007297-3 2.679403+3 4.091052-3 2.571980+3 4.164310-3 2.466175+3 4.213386-3 2.386141+3 4.264103-3 2.291994+3 4.302487-3 2.209345+3 4.338254-3 2.118253+3 4.366176-3 2.033692+3 4.395375-3 1.932234+3 4.427817-3 1.818262+3 4.442253-3 1.776554+3 4.454550-3 1.749986+3 4.466836-3 1.734113+3 4.471005-3 1.731443+3 4.481500-3 1.731123+3 4.493233-3 1.741542+3 4.502594-3 1.757459+3 4.518559-3 1.797452+3 4.564591-3 1.950521+3 4.581036-3 1.999282+3 4.591937-3 2.026499+3 4.608260-3 2.058730+3 4.628382-3 2.084843+3 4.641808-3 2.095096+3 4.673805-3 2.105015+3 4.707342-3 2.114820+3 4.719944-3 2.124496+3 4.737811-3 2.147719+3 4.751199-3 2.173457+3 4.773012-3 2.230301+3 4.811131-3 2.359138+3 4.833800-3 2.439251+3 4.855679-3 2.510446+3 4.874429-3 2.564091+3 4.897788-3 2.620815+3 4.927982-3 2.679622+3 4.965880-3 2.736391+3 5.010001-3 2.786453+3 5.057155-3 2.825857+3 5.100093-3 2.850644+3 5.150270-3 2.867253+3 5.196020-3 2.870611+3 5.240527-3 2.861653+3 5.321852-3 2.825389+3 5.341679-3 2.822378+3 5.358355-3 2.825428+3 5.375538-3 2.835062+3 5.406144-3 2.868739+3 5.495438-3 3.017242+3 5.521478-3 3.052381+3 5.552269-3 3.085070+3 5.593579-3 3.117191+3 5.651580-3 3.148463+3 5.705382-3 3.168930+3 5.766905-3 3.185202+3 5.841731-3 3.197584+3 5.930587-3 3.205030+3 6.113488-3 3.200537+3 6.302675-3 3.174729+3 6.415856-3 3.150191+3 6.515278-3 3.122365+3 6.641822-3 3.074210+3 6.726670-3 3.039158+3 6.781953-3 3.027281+3 6.935761-3 3.032157+3 7.036133-3 3.019065+3 7.171104-3 2.993691+3 7.358971-3 2.997567+3 7.546751-3 2.979415+3 7.864320-3 2.923304+3 8.317638-3 2.826312+3 8.903819-3 2.693474+3 9.688355-3 2.514695+3 1.062080-2 2.311618+3 1.152137-2 2.132604+3 1.247416-2 1.960898+3 1.361099-2 1.776843+3 1.424392-2 1.683721+3 1.494175-2 1.587351+3 1.555517-2 1.507556+3 1.627043-2 1.419054+3 1.690015-2 1.345052+3 1.751729-2 1.275340+3 1.801372-2 1.220260+3 1.845082-2 1.172334+3 1.883973-2 1.129382+3 1.916640-2 1.092582+3 1.943190-2 1.061651+3 1.966311-2 1.033422+3 1.983948-2 1.010551+3 2.000998-2 9.866450+2 2.015615-2 9.638157+2 2.027373-2 9.429467+2 2.036767-2 9.241273+2 2.054100-2 8.849883+2 2.066666-2 8.574866+2 2.075034-2 8.434012+2 2.082051-2 8.360385+2 2.089296-2 8.335476+2 2.095907-2 8.358335+2 2.105641-2 8.457650+2 2.132681-2 8.871778+2 2.146155-2 9.025026+2 2.154757-2 9.092383+2 2.164601-2 9.145581+2 2.177457-2 9.186893+2 2.192684-2 9.208249+2 2.210376-2 9.208528+2 2.250943-2 9.147274+2 2.298556-2 9.010935+2 2.364558-2 8.759772+2 2.433587-2 8.450458+2 2.494692-2 8.139718+2 2.526547-2 7.961934+2 2.552843-2 7.803592+2 2.576140-2 7.649585+2 2.593356-2 7.522475+2 2.619655-2 7.295686+2 2.651394-2 6.996421+2 2.664226-2 6.902271+2 2.676255-2 6.845773+2 2.688164-2 6.822570+2 2.710117-2 6.839791+2 2.766020-2 6.940885+2 2.810864-2 7.060917+2 2.837362-2 7.101406+2 2.875707-2 7.102703+2 2.930280-2 7.046388+2 2.998645-2 6.936374+2 3.084765-2 6.770915+2 3.223970-2 6.477562+2 3.388947-2 6.123682+2 3.677104-2 5.539503+2 3.954517-2 5.033541+2 4.257715-2 4.539761+2 4.724041-2 3.896120+2 5.231447-2 3.331341+2 5.605426-2 2.982278+2 6.096128-2 2.594751+2 6.954925-2 2.070734+2 8.250076-2 1.533911+2 9.377139-2 1.218772+2 1.059721-1 9.726556+1 1.146339-1 8.366289+1 1.194488-1 7.709968+1 1.234515-1 7.206010+1 1.293512-1 6.514633+1 1.316605-1 6.253723+1 1.335485-1 6.040198+1 1.350637-1 5.865608+1 1.363433-1 5.712542+1 1.374437-1 5.572527+1 1.382923-1 5.454919+1 1.394531-1 5.273298+1 1.413327-1 4.960844+1 1.420745-1 4.875295+1 1.427473-1 4.837780+1 1.434347-1 4.839987+1 1.444660-1 4.894667+1 1.458409-1 4.980013+1 1.468675-1 5.014544+1 1.476128-1 5.022984+1 1.485401-1 5.019727+1 1.508285-1 4.976490+1 1.536150-1 4.892758+1 1.576855-1 4.744141+1 1.623258-1 4.562043+1 1.719764-1 4.183982+1 1.856055-1 3.696694+1 2.077864-1 3.048399+1 2.330184-1 2.490970+1 2.758840-1 1.837162+1 3.365327-1 1.273967+1 4.181321-1 8.479593+0 5.432503-1 5.153194+0 7.659134-1 2.659654+0 1.173413+0 1.161024+0 1.776032+0 5.143907-1 2.947480+0 1.885041-1 6.752287+0 3.610039-2 2.039158+1 3.961383-3 6.158159+1 4.343515-4 1.859734+2 4.762559-5 5.616308+2 5.222040-6 1.995262+3 4.137537-7 6.309573+3 4.137537-8 1.995262+4 4.137537-9 6.309573+4 4.13754-10 1.000000+5 1.64718-10 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 71 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 1.000000-6 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 72 0 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.552900-6 1.258900-6 4.046100-6 1.584900-6 6.412600-6 1.995300-6 1.016300-5 2.511900-6 1.610800-5 3.162300-6 2.552900-5 3.981100-6 4.046000-5 5.011900-6 6.412500-5 6.309600-6 1.016300-4 7.943300-6 1.610700-4 1.000000-5 2.552800-4 1.258900-5 4.045800-4 1.584900-5 6.409100-4 1.995300-5 1.015200-3 2.511900-5 1.608100-3 3.162300-5 2.547700-3 3.981100-5 4.036600-3 5.011900-5 6.396100-3 6.309600-5 1.013500-2 7.943300-5 1.603500-2 1.000000-4 2.535900-2 1.258900-4 4.010000-2 1.584900-4 6.325000-2 1.995300-4 9.958000-2 2.511900-4 1.561100-1 3.162300-4 2.432000-1 3.981100-4 3.753200-1 5.011900-4 5.697000-1 6.309600-4 8.422300-1 7.943300-4 1.206500+0 1.000000-3 1.671300+0 1.258900-3 2.254500+0 1.584900-3 2.990100+0 1.995300-3 3.932800+0 2.511900-3 5.112600+0 3.162300-3 6.549900+0 3.981100-3 8.267300+0 5.011900-3 1.027800+1 6.309600-3 1.255900+1 7.943300-3 1.513000+1 1.000000-2 1.803600+1 1.258900-2 2.124500+1 1.584900-2 2.458500+1 1.995300-2 2.791600+1 2.511900-2 3.103500+1 3.162300-2 3.396100+1 3.981100-2 3.654200+1 5.011900-2 3.863000+1 6.309600-2 4.008800+1 7.943300-2 4.082200+1 1.000000-1 4.086200+1 1.258900-1 4.024700+1 1.584900-1 3.903200+1 1.995300-1 3.732600+1 2.511900-1 3.526600+1 3.162300-1 3.298500+1 3.981100-1 3.056500+1 5.011900-1 2.809400+1 6.309600-1 2.562700+1 7.943300-1 2.321000+1 1.000000+0 2.087600+1 1.258900+0 1.864800+1 1.584900+0 1.654500+1 1.995300+0 1.458000+1 2.511900+0 1.276500+1 3.162300+0 1.110500+1 3.981100+0 9.602100+0 5.011900+0 8.255700+0 6.309600+0 7.060700+0 7.943300+0 6.009300+0 1.000000+1 5.091700+0 1.258900+1 4.296700+0 1.584900+1 3.612600+0 1.995300+1 3.027200+0 2.511900+1 2.529100+0 3.162300+1 2.107200+0 3.981100+1 1.751400+0 5.011900+1 1.452500+0 6.309600+1 1.202100+0 7.943300+1 9.931400-1 1.000000+2 8.191100-1 1.258900+2 6.745600-1 1.584900+2 5.547400-1 1.995300+2 4.556300-1 2.511900+2 3.737900-1 3.162300+2 3.063100-1 3.981100+2 2.507600-1 5.011900+2 2.051000-1 6.309600+2 1.676000-1 7.943300+2 1.368500-1 1.000000+3 1.116500-1 1.258900+3 9.102800-2 1.584900+3 7.416300-2 1.995300+3 6.038500-2 2.511900+3 4.913600-2 3.162300+3 3.995900-2 3.981100+3 3.247900-2 5.011900+3 2.638500-2 6.309600+3 2.142400-2 7.943300+3 1.738700-2 1.000000+4 1.410400-2 1.258900+4 1.143700-2 1.584900+4 9.269500-3 1.995300+4 7.510000-3 2.511900+4 6.082200-3 3.162300+4 4.924000-3 3.981100+4 3.984900-3 5.011900+4 3.223800-3 6.309600+4 2.607200-3 7.943300+4 2.107800-3 1.000000+5 1.703600-3 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 9.999973-7 1.258925-6 1.258921-6 1.584893-6 1.584886-6 1.995262-6 1.995251-6 2.511886-6 2.511869-6 3.162278-6 3.162250-6 3.981072-6 3.981028-6 5.011872-6 5.011804-6 6.309573-6 6.309464-6 7.943282-6 7.943109-6 1.000000-5 9.999726-6 1.258925-5 1.258882-5 1.584893-5 1.584824-5 1.995262-5 1.995153-5 2.511886-5 2.511714-5 3.162278-5 3.162004-5 3.981072-5 3.980638-5 5.011872-5 5.011184-5 6.309573-5 6.308483-5 7.943282-5 7.941555-5 1.000000-4 9.997263-5 1.258925-4 1.258492-4 1.584893-4 1.584206-4 1.995262-4 1.994175-4 2.511886-4 2.510165-4 3.162278-4 3.159556-4 3.981072-4 3.976774-4 5.011872-4 5.005102-4 6.309573-4 6.298928-4 7.943282-4 7.926640-4 1.000000-3 9.974044-4 1.258925-3 1.254879-3 1.584893-3 1.578560-3 1.995262-3 1.985312-3 2.511886-3 2.496254-3 3.162278-3 3.137722-3 3.981072-3 3.942594-3 5.011872-3 4.951793-3 6.309573-3 6.215810-3 7.943282-3 7.797028-3 1.000000-2 9.771867-3 1.258925-2 1.223397-2 1.584893-2 1.529746-2 1.995262-2 1.910399-2 2.511886-2 2.381651-2 3.162278-2 2.963482-2 3.981072-2 3.678592-2 5.011872-2 4.554838-2 6.309573-2 5.624015-2 7.943282-2 6.924461-2 1.000000-1 8.499102-2 1.258925-1 1.039825-1 1.584893-1 1.268131-1 1.995262-1 1.542033-1 2.511886-1 1.869108-1 3.162278-1 2.257379-1 3.981072-1 2.718356-1 5.011872-1 3.263506-1 6.309573-1 3.907042-1 7.943282-1 4.665398-1 1.000000+0 5.558767-1 1.258925+0 6.611668-1 1.584893+0 7.854972-1 1.995262+0 9.326452-1 2.511886+0 1.107171+0 3.162278+0 1.314887+0 3.981072+0 1.562879+0 5.011872+0 1.859743+0 6.309573+0 2.215962+0 7.943282+0 2.644602+0 1.000000+1 3.161196+0 1.258925+1 3.785311+0 1.584893+1 4.540471+0 1.995262+1 5.455734+0 2.511886+1 6.566513+0 3.162278+1 7.916597+0 3.981072+1 9.559217+0 5.011872+1 1.155980+1 6.309573+1 1.399959+1 7.943282+1 1.697726+1 1.000000+2 2.061469+1 1.258925+2 2.506185+1 1.584893+2 3.050319+1 1.995262+2 3.716726+1 2.511886+2 4.533218+1 3.162278+2 5.534482+1 3.981072+2 6.762934+1 5.011872+2 8.271272+1 6.309573+2 1.012421+2 7.943282+2 1.240182+2 1.000000+3 1.520279+2 1.258925+3 1.864929+2 1.584893+3 2.289144+2 1.995262+3 2.811764+2 2.511886+3 3.455611+2 3.162278+3 4.249282+2 3.981072+3 5.228161+2 5.011872+3 6.435840+2 6.309573+3 7.926434+2 7.943282+3 9.766721+2 1.000000+4 1.203939+3 1.258925+4 1.484752+3 1.584893+4 1.831801+3 1.995262+4 2.260845+3 2.511886+4 2.791404+3 3.162278+4 3.447714+3 3.981072+4 4.259668+3 5.011872+4 5.264588+3 6.309573+4 6.508469+3 7.943282+4 8.048389+3 1.000000+5 9.955317+3 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 72 10 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 2.74027-12 1.258925-6 4.34302-12 1.584893-6 6.88322-12 1.995262-6 1.09092-11 2.511886-6 1.72898-11 3.162278-6 2.74024-11 3.981072-6 4.34298-11 5.011872-6 6.88313-11 6.309573-6 1.09090-10 7.943282-6 1.72895-10 1.000000-5 2.74017-10 1.258925-5 4.34283-10 1.584893-5 6.88200-10 1.995262-5 1.090636-9 2.511886-5 1.728513-9 3.162278-5 2.739536-9 3.981072-5 4.341911-9 5.011872-5 6.881434-9 6.309573-5 1.090601-8 7.943282-5 1.727688-8 1.000000-4 2.737416-8 1.258925-4 4.337603-8 1.584893-4 6.869097-8 1.995262-4 1.087686-7 2.511886-4 1.721308-7 3.162278-4 2.721637-7 3.981072-4 4.297891-7 5.011872-4 6.770045-7 6.309573-4 1.064543-6 7.943282-4 1.664209-6 1.000000-3 2.595602-6 1.258925-3 4.046227-6 1.584893-3 6.333370-6 1.995262-3 9.950006-6 2.511886-3 1.563208-5 3.162278-3 2.455603-5 3.981072-3 3.847807-5 5.011872-3 6.007912-5 6.309573-3 9.376358-5 7.943282-3 1.462541-4 1.000000-2 2.281334-4 1.258925-2 3.552805-4 1.584893-2 5.514712-4 1.995262-2 8.486295-4 2.511886-2 1.302354-3 3.162278-2 1.987961-3 3.981072-2 3.024792-3 5.011872-2 4.570342-3 6.309573-2 6.855580-3 7.943282-2 1.018821-2 1.000000-1 1.500898-2 1.258925-1 2.191005-2 1.584893-1 3.167621-2 1.995262-1 4.532291-2 2.511886-1 6.427787-2 3.162278-1 9.048982-2 3.981072-1 1.262716-1 5.011872-1 1.748367-1 6.309573-1 2.402531-1 7.943282-1 3.277884-1 1.000000+0 4.441233-1 1.258925+0 5.977586-1 1.584893+0 7.993960-1 1.995262+0 1.062617+0 2.511886+0 1.404715+0 3.162278+0 1.847391+0 3.981072+0 2.418192+0 5.011872+0 3.152129+0 6.309573+0 4.093611+0 7.943282+0 5.298680+0 1.000000+1 6.838804+0 1.258925+1 8.803943+0 1.584893+1 1.130846+1 1.995262+1 1.449689+1 2.511886+1 1.855235+1 3.162278+1 2.370618+1 3.981072+1 3.025150+1 5.011872+1 3.855893+1 6.309573+1 4.909615+1 7.943282+1 6.245556+1 1.000000+2 7.938531+1 1.258925+2 1.008307+2 1.584893+2 1.279861+2 1.995262+2 1.623590+2 2.511886+2 2.058565+2 3.162278+2 2.608829+2 3.981072+2 3.304778+2 5.011872+2 4.184745+2 6.309573+2 5.297152+2 7.943282+2 6.703100+2 1.000000+3 8.479721+2 1.258925+3 1.072433+3 1.584893+3 1.355979+3 1.995262+3 1.714086+3 2.511886+3 2.166325+3 3.162278+3 2.737349+3 3.981072+3 3.458256+3 5.011872+3 4.368288+3 6.309573+3 5.516930+3 7.943282+3 6.966610+3 1.000000+4 8.796061+3 1.258925+4 1.110450+4 1.584893+4 1.401713+4 1.995262+4 1.769178+4 2.511886+4 2.232746+4 3.162278+4 2.817506+4 3.981072+4 3.555105+4 5.011872+4 4.485414+4 6.309573+4 5.658727+4 7.943282+4 7.138443+4 1.000000+5 9.004468+4 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 0 0.0 0.0 0.0 0.0 0.0 5.850000-6 1.106644+7 5.888437-6 1.091387+7 5.956621-6 1.057701+7 6.606934-6 7.698918+6 7.500000-6 5.254620+6 8.511380-6 3.615465+6 9.700000-6 2.474560+6 1.018000-5 2.156977+6 1.018000-5 5.614269+6 1.022000-5 5.497018+6 1.023293-5 5.469292+6 1.071519-5 4.795596+6 1.097000-5 4.498308+6 1.122018-5 4.243137+6 1.135011-5 4.119471+6 1.161449-5 3.894456+6 1.202264-5 3.594557+6 1.229000-5 3.425053+6 1.229000-5 5.363072+6 1.230269-5 5.347154+6 1.240000-5 5.230659+6 1.244515-5 5.184026+6 1.273503-5 4.924086+6 1.288250-5 4.804573+6 1.290000-5 4.790763+6 1.318257-5 4.583156+6 1.333521-5 4.481789+6 1.364583-5 4.294887+6 1.380384-5 4.209511+6 1.412538-5 4.051624+6 1.427100-5 3.987708+6 1.462177-5 3.849193+6 1.479108-5 3.790240+6 1.513561-5 3.682682+6 1.531087-5 3.635392+6 1.566751-5 3.550208+6 1.584893-5 3.513205+6 1.621810-5 3.447540+6 1.630000-5 3.435376+6 1.678804-5 3.373590+6 1.730000-5 3.332232+6 1.737801-5 3.327441+6 1.785000-5 3.309681+6 1.800000-5 3.306725+6 1.840772-5 3.308243+6 1.870000-5 3.314225+6 1.900000-5 3.326183+6 1.927525-5 3.341073+6 1.950000-5 3.357042+6 2.000000-5 3.399006+6 2.070000-5 3.480232+6 2.089296-5 3.505548+6 2.137962-5 3.579095+6 2.190000-5 3.665542+6 2.213095-5 3.708132+6 2.300000-5 3.882406+6 2.400000-5 4.117148+6 2.426610-5 4.184115+6 2.500000-5 4.382604+6 2.577000-5 4.604649+6 2.577000-5 4.009727+7 2.580000-5 3.967602+7 2.587000-5 3.871594+7 2.610000-5 3.660935+7 2.615000-5 3.617306+7 2.645000-5 3.383947+7 2.691535-5 3.086361+7 2.740000-5 2.837766+7 2.754229-5 2.775212+7 2.786121-5 2.643524+7 2.800000-5 2.592793+7 2.818383-5 2.528293+7 2.830000-5 2.489109+7 2.888200-5 2.319170+7 2.917427-5 2.246983+7 2.951209-5 2.169768+7 3.019952-5 2.038377+7 3.120000-5 1.891050+7 3.162278-5 1.842067+7 3.235937-5 1.767656+7 3.311311-5 1.708360+7 3.350000-5 1.681673+7 3.507519-5 1.603771+7 3.548134-5 1.590354+7 3.570000-5 1.583917+7 3.589219-5 1.578386+7 3.715352-5 1.550283+7 3.801894-5 1.540864+7 3.845918-5 1.537551+7 3.981072-5 1.534087+7 4.000000-5 1.534508+7 4.027170-5 1.535753+7 4.073803-5 1.537941+7 4.127000-5 1.541132+7 4.127000-5 2.727870+7 4.140000-5 2.699073+7 4.175000-5 2.632457+7 4.220000-5 2.561529+7 4.265795-5 2.501586+7 4.315191-5 2.447464+7 4.330000-5 2.432097+7 4.400000-5 2.372633+7 4.415704-5 2.361496+7 4.466836-5 2.327652+7 4.470000-5 2.325689+7 4.518559-5 2.299963+7 4.550000-5 2.284109+7 4.570882-5 2.275176+7 4.650000-5 2.243729+7 4.786301-5 2.206486+7 4.800000-5 2.203869+7 4.841724-5 2.195774+7 4.897788-5 2.185607+7 4.954502-5 2.176984+7 5.069907-5 2.166415+7 5.128614-5 2.163291+7 5.150000-5 2.162046+7 5.432503-5 2.158976+7 5.495409-5 2.161646+7 5.500000-5 2.161879+7 5.623413-5 2.166041+7 5.821032-5 2.179510+7 5.900000-5 2.185902+7 6.095369-5 2.202097+7 6.165950-5 2.209352+7 6.237348-5 2.216387+7 6.485000-5 2.239897+7 6.485000-5 2.287982+7 6.531306-5 2.292684+7 6.606934-5 2.298903+7 6.620000-5 2.299762+7 6.760830-5 2.309582+7 6.900000-5 2.320532+7 6.918310-5 2.321749+7 7.079458-5 2.329247+7 7.150000-5 2.333112+7 7.244360-5 2.338626+7 7.500000-5 2.344601+7 7.585776-5 2.345272+7 7.800000-5 2.343972+7 7.900000-5 2.341228+7 8.035261-5 2.335180+7 8.128305-5 2.331436+7 8.150000-5 2.329994+7 8.222426-5 2.325321+7 8.413951-5 2.309889+7 8.511380-5 2.299905+7 8.709636-5 2.276939+7 8.810489-5 2.263264+7 8.912509-5 2.247763+7 9.015711-5 2.232507+7 9.120108-5 2.214899+7 9.332543-5 2.176230+7 9.440609-5 2.154395+7 9.549926-5 2.130689+7 9.660509-5 2.107343+7 9.772372-5 2.081432+7 9.800000-5 2.074595+7 1.000000-4 2.026424+7 1.011579-4 1.996766+7 1.035142-4 1.934867+7 1.040000-4 1.921521+7 1.060000-4 1.864935+7 1.071519-4 1.831344+7 1.090000-4 1.776580+7 1.096478-4 1.756638+7 1.100000-4 1.745944+7 1.122018-4 1.678271+7 1.128000-4 1.659493+7 1.135011-4 1.636847+7 1.150000-4 1.589947+7 1.161449-4 1.553525+7 1.174898-4 1.510354+7 1.182100-4 1.487936+7 1.190000-4 1.462521+7 1.202264-4 1.422676+7 1.213000-4 1.389028+7 1.220000-4 1.366554+7 1.244515-4 1.288665+7 1.252500-4 1.263414+7 1.273503-4 1.197904+7 1.280000-4 1.178549+7 1.288250-4 1.152678+7 1.315000-4 1.073731+7 1.318257-4 1.063895+7 1.350000-4 9.738210+6 1.380384-4 8.914533+6 1.392900-4 8.582065+6 1.392900-4 9.333128+6 1.396368-4 9.278326+6 1.402000-4 9.188910+6 1.413000-4 9.027173+6 1.415000-4 8.999320+6 1.420000-4 8.926196+6 1.428894-4 8.802620+6 1.439000-4 8.671586+6 1.447000-4 8.573074+6 1.450000-4 8.536322+6 1.454000-4 8.484542+6 1.462177-4 8.379112+6 1.472000-4 8.254159+6 1.480000-4 8.151317+6 1.482000-4 8.126822+6 1.490000-4 8.023714+6 1.500000-4 7.881324+6 1.510000-4 7.735526+6 1.520000-4 7.585749+6 1.531087-4 7.409584+6 1.538900-4 7.279110+6 1.538900-4 7.781010+6 1.540000-4 7.767480+6 1.541000-4 7.754347+6 1.547000-4 7.672975+6 1.550000-4 7.634944+6 1.555000-4 7.569051+6 1.560000-4 7.507762+6 1.566751-4 7.420797+6 1.569700-4 7.383771+6 1.570000-4 7.380060+6 1.584893-4 7.196331+6 1.585000-4 7.195102+6 1.589000-4 7.146944+6 1.600000-4 7.019755+6 1.603245-4 6.979814+6 1.610000-4 6.898342+6 1.620000-4 6.781003+6 1.620200-4 6.778628+6 1.630000-4 6.661136+6 1.640000-4 6.542915+6 1.640590-4 6.535801+6 1.643000-4 6.505627+6 1.648000-4 6.442447+6 1.655000-4 6.353184+6 1.663000-4 6.250966+6 1.670000-4 6.161183+6 1.678804-4 6.044679+6 1.680000-4 6.028601+6 1.690000-4 5.890838+6 1.698244-4 5.776860+6 1.700000-4 5.753112+6 1.705000-4 5.683120+6 1.714000-4 5.558682+6 1.717908-4 5.503765+6 1.720000-4 5.474188+6 1.725000-4 5.403416+6 1.740000-4 5.192122+6 1.757924-4 4.946517+6 1.760000-4 4.917823+6 1.778279-4 4.668894+6 1.798871-4 4.402300+6 1.800000-4 4.388277+6 1.819701-4 4.142895+6 1.820000-4 4.139313+6 1.840772-4 3.894648+6 1.850000-4 3.789434+6 1.880000-4 3.467846+6 1.883649-4 3.430743+6 1.900000-4 3.267744+6 1.915000-4 3.125263+6 1.950000-4 2.817406+6 1.972423-4 2.635508+6 1.990000-4 2.503143+6 2.000000-4 2.430473+6 2.020000-4 2.291834+6 2.041738-4 2.150511+6 2.060000-4 2.040713+6 2.065380-4 2.009230+6 2.100000-4 1.819649+6 2.120000-4 1.719474+6 2.137962-4 1.636399+6 2.153300-4 1.568855+6 2.170000-4 1.499338+6 2.187762-4 1.429584+6 2.190000-4 1.421073+6 2.213095-4 1.338123+6 2.264644-4 1.175380+6 2.267700-4 1.166607+6 2.300000-4 1.080547+6 2.317395-4 1.038220+6 2.330000-4 1.009265+6 2.340000-4 9.874793+5 2.365800-4 9.347815+5 2.371374-4 9.240363+5 2.390000-4 8.895685+5 2.400000-4 8.719884+5 2.405000-4 8.636323+5 2.407000-4 8.603435+5 2.430000-4 8.241809+5 2.450000-4 7.951110+5 2.454709-4 7.885600+5 2.458000-4 7.841272+5 2.465000-4 7.749167+5 2.483133-4 7.520709+5 2.485000-4 7.498333+5 2.500000-4 7.324586+5 2.501000-4 7.313327+5 2.520000-4 7.107191+5 2.535000-4 6.958894+5 2.540973-4 6.901930+5 2.550000-4 6.818347+5 2.560000-4 6.728860+5 2.565700-4 6.679295+5 2.575000-4 6.600804+5 2.580000-4 6.559768+5 2.593900-4 6.455424+5 2.600160-4 6.410029+5 2.610000-4 6.341230+5 2.620000-4 6.273696+5 2.628000-4 6.221747+5 2.635000-4 6.177671+5 2.643000-4 6.129752+5 2.660725-4 6.030139+5 2.680000-4 5.933064+5 2.690000-4 5.885210+5 2.691535-4 5.878158+5 2.691700-4 5.877438+5 2.691700-4 9.110338+5 2.700000-4 9.057663+5 2.722701-4 8.919953+5 2.730000-4 8.878449+5 2.750000-4 8.770606+5 2.754229-4 8.748777+5 2.778000-4 8.636559+5 2.800000-4 8.539762+5 2.807000-4 8.511317+5 2.818383-4 8.466891+5 2.830000-4 8.425175+5 2.840000-4 8.391517+5 2.880000-4 8.268822+5 2.884032-4 8.257859+5 2.900000-4 8.218723+5 2.930000-4 8.151875+5 2.951209-4 8.107663+5 2.985383-4 8.058911+5 3.000000-4 8.040827+5 3.019952-4 8.016726+5 3.020000-4 8.016684+5 3.054921-4 7.988712+5 3.090295-4 7.965338+5 3.100000-4 7.959799+5 3.150000-4 7.946436+5 3.155800-4 7.945307+5 3.162278-4 7.943573+5 3.180000-4 7.941773+5 3.198895-4 7.943885+5 3.216200-4 7.945935+5 3.235937-4 7.948112+5 3.240000-4 7.948501+5 3.260000-4 7.953390+5 3.273407-4 7.959807+5 3.280000-4 7.962739+5 3.311311-4 7.979345+5 3.320000-4 7.983613+5 3.350000-4 8.002873+5 3.388442-4 8.028365+5 3.390000-4 8.029266+5 3.400000-4 8.036056+5 3.404700-4 8.038939+5 3.467369-4 8.087655+5 3.480000-4 8.096799+5 3.500000-4 8.109942+5 3.507519-4 8.115649+5 3.548134-4 8.151215+5 3.550000-4 8.152667+5 3.600000-4 8.188861+5 3.630781-4 8.215061+5 3.672823-4 8.243462+5 3.680600-4 8.249380+5 3.680600-4 9.741602+5 3.683500-4 9.725450+5 3.689000-4 9.673674+5 3.694000-4 9.636325+5 3.699000-4 9.605249+5 3.707000-4 9.566261+5 3.715352-4 9.535475+5 3.725000-4 9.507212+5 3.736000-4 9.482945+5 3.748000-4 9.463645+5 3.762000-4 9.447503+5 3.780000-4 9.433856+5 3.785000-4 9.430268+5 3.801894-4 9.422991+5 3.815000-4 9.415850+5 3.850000-4 9.403361+5 3.890451-4 9.393593+5 3.981072-4 9.362201+5 4.000000-4 9.356696+5 4.027170-4 9.348568+5 4.100000-4 9.327325+5 4.120975-4 9.322956+5 4.200000-4 9.300100+5 4.216965-4 9.296520+5 4.265795-4 9.278198+5 4.315191-4 9.261730+5 4.365158-4 9.247247+5 4.415704-4 9.224435+5 4.430000-4 9.217877+5 4.461100-4 9.205219+5 4.461100-4 9.622418+5 4.466836-4 9.619618+5 4.518559-4 9.591711+5 4.550300-4 9.571868+5 4.623810-4 9.529334+5 4.677351-4 9.496269+5 4.731513-4 9.459188+5 4.786301-4 9.421106+5 4.841724-4 9.380374+5 4.850000-4 9.373686+5 4.954502-4 9.292970+5 5.011872-4 9.247808+5 5.069907-4 9.202701+5 5.128614-4 9.156325+5 5.150000-4 9.138313+5 5.188000-4 9.107192+5 5.308844-4 9.005110+5 5.370318-4 8.951757+5 5.400000-4 8.924867+5 5.432503-4 8.894481+5 5.495409-4 8.836701+5 5.500000-4 8.832266+5 5.559043-4 8.775806+5 5.623413-4 8.712730+5 5.650000-4 8.687385+5 5.754399-4 8.590262+5 5.800000-4 8.544965+5 5.816200-4 8.528758+5 5.816200-4 9.565230+5 5.817000-4 9.545712+5 5.819500-4 9.500924+5 5.821032-4 9.477006+5 5.822500-4 9.454511+5 5.825500-4 9.414563+5 5.829000-4 9.374154+5 5.834000-4 9.326381+5 5.838500-4 9.290247+5 5.843000-4 9.259642+5 5.847000-4 9.235876+5 5.850000-4 9.220126+5 5.852000-4 9.209770+5 5.858000-4 9.182814+5 5.864000-4 9.159670+5 5.871000-4 9.136406+5 5.879000-4 9.113484+5 5.890000-4 9.086766+5 5.900000-4 9.066047+5 5.910000-4 9.047845+5 5.925000-4 9.024023+5 5.945000-4 8.996736+5 5.970000-4 8.967353+5 6.000000-4 8.937231+5 6.005200-4 8.932866+5 6.005200-4 9.589188+5 6.006000-4 9.578917+5 6.010000-4 9.547450+5 6.014000-4 9.521020+5 6.018000-4 9.498094+5 6.023000-4 9.473755+5 6.025596-4 9.462824+5 6.027000-4 9.457154+5 6.032000-4 9.439454+5 6.040000-4 9.415604+5 6.047000-4 9.398488+5 6.050000-4 9.392244+5 6.055000-4 9.382741+5 6.065000-4 9.366920+5 6.075000-4 9.355501+5 6.085000-4 9.346535+5 6.090000-4 9.343071+5 6.100000-4 9.338301+5 6.110000-4 9.335581+5 6.115000-4 9.335023+5 6.125300-4 9.336406+5 6.135000-4 9.337388+5 6.150000-4 9.344806+5 6.165950-4 9.357407+5 6.185000-4 9.380803+5 6.190000-4 9.388710+5 6.200000-4 9.406165+5 6.220000-4 9.449471+5 6.240000-4 9.506547+5 6.260000-4 9.578766+5 6.278000-4 9.658446+5 6.280000-4 9.668016+5 6.292000-4 9.730937+5 6.300000-4 9.776251+5 6.309573-4 9.835794+5 6.328000-4 9.961912+5 6.330000-4 9.976944+5 6.345000-4 1.009781+6 6.365000-4 1.027858+6 6.370000-4 1.032795+6 6.382635-4 1.046012+6 6.385000-4 1.048579+6 6.400000-4 1.065941+6 6.415000-4 1.084996+6 6.435000-4 1.113253+6 6.445000-4 1.128773+6 6.456542-4 1.147166+6 6.458000-4 1.149567+6 6.480000-4 1.188587+6 6.485400-4 1.198958+6 6.500000-4 1.227504+6 6.515000-4 1.259363+6 6.531306-4 1.295650+6 6.540000-4 1.316349+6 6.565000-4 1.378959+6 6.590000-4 1.447039+6 6.606934-4 1.496072+6 6.615000-4 1.520695+6 6.633000-4 1.576927+6 6.640000-4 1.599802+6 6.670000-4 1.701763+6 6.683439-4 1.749017+6 6.700000-4 1.810644+6 6.730000-4 1.925901+6 6.760830-4 2.050149+6 6.790000-4 2.172151+6 6.820000-4 2.301061+6 6.850000-4 2.432284+6 6.880000-4 2.564585+6 6.910000-4 2.696726+6 6.940000-4 2.827465+6 6.970000-4 2.955724+6 7.000000-4 3.080299+6 7.030000-4 3.199037+6 7.040000-4 3.238395+6 7.060000-4 3.313258+6 7.079458-4 3.385013+6 7.080000-4 3.387039+6 7.090000-4 3.422068+6 7.120000-4 3.524902+6 7.150000-4 3.618317+6 7.170000-4 3.678378+6 7.190000-4 3.734407+6 7.220000-4 3.814636+6 7.260000-4 3.907229+6 7.280000-4 3.950658+6 7.300000-4 3.990343+6 7.328245-4 4.041557+6 7.350000-4 4.077121+6 7.400000-4 4.150374+6 7.413102-4 4.164734+6 7.450000-4 4.205422+6 7.480000-4 4.234361+6 7.498942-4 4.249573+6 7.500000-4 4.250422+6 7.540000-4 4.276816+6 7.560000-4 4.287398+6 7.585776-4 4.297621+6 7.620000-4 4.311264+6 7.673615-4 4.318594+6 7.690000-4 4.320863+6 7.730000-4 4.321828+6 7.762471-4 4.318906+6 7.770000-4 4.318235+6 7.852356-4 4.302566+6 7.943282-4 4.269849+6 7.950000-4 4.267448+6 8.035261-4 4.231350+6 8.100000-4 4.199796+6 8.225300-4 4.132641+6 8.280000-4 4.100721+6 8.317638-4 4.077250+6 8.413951-4 4.018086+6 8.500000-4 3.966401+6 8.511380-4 3.959187+6 8.609938-4 3.893711+6 8.810489-4 3.765591+6 8.850000-4 3.741130+6 8.912509-4 3.699412+6 9.120108-4 3.565968+6 9.225714-4 3.501047+6 9.332543-4 3.435311+6 9.440609-4 3.368305+6 9.549926-4 3.302360+6 9.700000-4 3.215129+6 9.850000-4 3.129332+6 9.885531-4 3.108896+6 9.943600-4 3.075912+6 9.943600-4 3.131735+6 9.949000-4 3.134854+6 9.963000-4 3.141274+6 9.974000-4 3.148011+6 9.981000-4 3.152977+6 9.988000-4 3.158374+6 9.996000-4 3.165021+6 1.000000-3 3.168396+6 1.000500-3 3.172988+6 1.001200-3 3.179424+6 1.002000-3 3.186916+6 1.002700-3 3.193476+6 1.003500-3 3.200881+6 1.004300-3 3.208049+6 1.005200-3 3.215704+6 1.006000-3 3.222040+6 1.007000-3 3.229208+6 1.008000-3 3.235447+6 1.009000-3 3.240691+6 1.010000-3 3.244927+6 1.011000-3 3.248176+6 1.011579-3 3.249364+6 1.012400-3 3.251148+6 1.013500-3 3.252305+6 1.015000-3 3.252450+6 1.016500-3 3.251218+6 1.018000-3 3.248884+6 1.020200-3 3.243963+6 1.023293-3 3.235012+6 1.028000-3 3.218889+6 1.030000-3 3.211302+6 1.033000-3 3.199678+6 1.035142-3 3.190649+6 1.040000-3 3.170433+6 1.045000-3 3.148192+6 1.050000-3 3.124965+6 1.059254-3 3.078995+6 1.061800-3 3.066149+6 1.061800-3 3.218412+6 1.071519-3 3.174322+6 1.076000-3 3.154415+6 1.083927-3 3.118282+6 1.096478-3 3.062547+6 1.110000-3 3.003289+6 1.124000-3 2.941788+6 1.148154-3 2.839678+6 1.150000-3 2.832113+6 1.161449-3 2.786027+6 1.170000-3 2.752390+6 1.173000-3 2.740541+6 1.174898-3 2.732961+6 1.190000-3 2.672565+6 1.202264-3 2.625194+6 1.210000-3 2.595780+6 1.216186-3 2.573264+6 1.244515-3 2.472787+6 1.258925-3 2.422388+6 1.273503-3 2.372257+6 1.303167-3 2.270636+6 1.333521-3 2.174170+6 1.350000-3 2.123388+6 1.359600-3 2.093885+6 1.359600-3 2.224355+6 1.369000-3 2.195158+6 1.380384-3 2.160602+6 1.412538-3 2.067685+6 1.420000-3 2.046925+6 1.428894-3 2.022268+6 1.445440-3 1.976978+6 1.462177-3 1.932379+6 1.479108-3 1.888770+6 1.500000-3 1.836879+6 1.513561-3 1.804392+6 1.531087-3 1.763763+6 1.548817-3 1.723767+6 1.566751-3 1.684407+6 1.570000-3 1.677418+6 1.584893-3 1.645577+6 1.621810-3 1.570279+6 1.659587-3 1.498739+6 1.675900-3 1.469222+6 1.698244-3 1.429818+6 1.717908-3 1.395658+6 1.737801-3 1.362352+6 1.739000-3 1.360384+6 1.739000-3 1.375416+6 1.757924-3 1.344925+6 1.770000-3 1.326020+6 1.778279-3 1.313212+6 1.800000-3 1.280501+6 1.819701-3 1.251542+6 1.840772-3 1.221701+6 1.862087-3 1.192354+6 1.883649-3 1.163738+6 1.905461-3 1.135889+6 1.925800-3 1.110623+6 1.925800-3 1.129252+6 1.927525-3 1.127131+6 1.950000-3 1.099908+6 1.972423-3 1.073750+6 1.995262-3 1.047936+6 2.018366-3 1.022754+6 2.030000-3 1.010299+6 2.041738-3 9.979729+5 2.070000-3 9.690781+5 2.130000-3 9.116307+5 2.137962-3 9.044060+5 2.150000-3 8.936435+5 2.162719-3 8.824000+5 2.187762-3 8.608262+5 2.213095-3 8.396634+5 2.220000-3 8.340333+5 2.238721-3 8.189456+5 2.290868-3 7.789172+5 2.317395-3 7.596742+5 2.350000-3 7.370142+5 2.371374-3 7.226204+5 2.400000-3 7.038564+5 2.426610-3 6.869810+5 2.449500-3 6.728478+5 2.483133-3 6.528764+5 2.500000-3 6.431995+5 2.511886-3 6.364869+5 2.540973-3 6.205084+5 2.570396-3 6.049682+5 2.600160-3 5.896543+5 2.630268-3 5.746742+5 2.660725-3 5.600965+5 2.691535-3 5.458051+5 2.786121-3 5.052678+5 2.800000-3 4.997139+5 2.818383-3 4.924910+5 2.851018-3 4.798987+5 2.900000-3 4.618321+5 2.917427-3 4.556456+5 2.934720-3 4.496199+5 2.951209-3 4.439880+5 3.019952-3 4.215005+5 3.070000-3 4.060934+5 3.090295-3 4.000539+5 3.126079-3 3.897230+5 3.162278-3 3.796749+5 3.235937-3 3.602594+5 3.273407-3 3.509350+5 3.300000-3 3.444939+5 3.311311-3 3.418083+5 3.349654-3 3.328941+5 3.400000-3 3.216450+5 3.427678-3 3.156988+5 3.467369-3 3.074597+5 3.507519-3 2.994310+5 3.548134-3 2.916011+5 3.589219-3 2.839869+5 3.630781-3 2.765751+5 3.650000-3 2.732247+5 3.672823-3 2.692942+5 3.758374-3 2.552197+5 3.845918-3 2.419298+5 3.890451-3 2.355678+5 3.900000-3 2.342367+5 3.935501-3 2.293697+5 4.000000-3 2.208961+5 4.027170-3 2.174441+5 4.040000-3 2.158254+5 4.073803-3 2.116410+5 4.216965-3 1.951412+5 4.265795-3 1.899428+5 4.315191-3 1.848923+5 4.415704-3 1.751927+5 4.466836-3 1.704934+5 4.492700-3 1.681772+5 4.492700-3 3.772911+5 4.518559-3 3.722857+5 4.600000-3 3.571069+5 4.623810-3 3.531137+5 4.731513-3 3.358549+5 4.760800-3 3.313806+5 4.760800-3 4.555806+5 4.780000-3 4.524825+5 4.786301-3 4.516869+5 4.800000-3 4.491394+5 4.841724-3 4.415283+5 4.850000-3 4.400420+5 4.897788-3 4.311479+5 4.940000-3 4.235193+5 4.954502-3 4.208313+5 5.000000-3 4.125620+5 5.011872-3 4.104458+5 5.069907-3 3.989822+5 5.128614-3 3.872169+5 5.150000-3 3.830473+5 5.188000-3 3.757888+5 5.248075-3 3.647021+5 5.370318-3 3.435222+5 5.392600-3 3.397848+5 5.392600-3 3.989819+5 5.445000-3 3.882266+5 5.480000-3 3.815389+5 5.495409-3 3.788790+5 5.559043-3 3.681726+5 5.623413-3 3.577651+5 5.688529-3 3.476588+5 5.754399-3 3.377561+5 5.821032-3 3.281473+5 5.888437-3 3.187589+5 6.000000-3 3.039119+5 6.095369-3 2.919711+5 6.165950-3 2.835631+5 6.237348-3 2.753204+5 6.309573-3 2.673264+5 6.382635-3 2.595689+5 6.456542-3 2.520413+5 6.531306-3 2.447389+5 6.606934-3 2.376279+5 6.683439-3 2.307288+5 6.784000-3 2.220322+5 6.784000-3 2.357631+5 6.814000-3 2.329382+5 6.839116-3 2.307780+5 6.890000-3 2.264869+5 6.918310-3 2.242050+5 7.000000-3 2.177592+5 7.161434-3 2.057304+5 7.179700-3 2.044304+5 7.179700-3 2.128408+5 7.244360-3 2.082328+5 7.249000-3 2.079062+5 7.328245-3 2.024436+5 7.413102-3 1.968156+5 7.500000-3 1.913019+5 7.585776-3 1.860428+5 7.600000-3 1.851872+5 7.673615-3 1.808451+5 7.852356-3 1.708712+5 7.943282-3 1.660890+5 8.035261-3 1.614474+5 8.128305-3 1.569230+5 8.317638-3 1.482623+5 8.413951-3 1.441247+5 8.609938-3 1.361291+5 8.709636-3 1.322973+5 8.810489-3 1.285849+5 8.912509-3 1.249654+5 9.000000-3 1.219647+5 9.225714-3 1.146863+5 9.332543-3 1.114621+5 9.440609-3 1.082897+5 9.500000-3 1.066020+5 9.549926-3 1.052089+5 9.660509-3 1.022107+5 9.885531-3 9.644584+4 1.000000-2 9.369276+4 1.011579-2 9.102081+4 1.023293-2 8.842569+4 1.035142-2 8.590629+4 1.047129-2 8.346294+4 1.071519-2 7.878092+4 1.083927-2 7.654579+4 1.090000-2 7.548546+4 1.096478-2 7.437970+4 1.109175-2 7.227987+4 1.120000-2 7.054161+4 1.122018-2 7.022414+4 1.148154-2 6.628969+4 1.150000-2 6.602212+4 1.161449-2 6.439527+4 1.170000-2 6.321481+4 1.174898-2 6.254880+4 1.190000-2 6.055803+4 1.202264-2 5.899965+4 1.216186-2 5.729449+4 1.244515-2 5.403901+4 1.258925-2 5.248074+4 1.273503-2 5.096965+4 1.303167-2 4.808076+4 1.318257-2 4.669675+4 1.333521-2 4.535489+4 1.348963-2 4.405311+4 1.364583-2 4.279116+4 1.380384-2 4.156755+4 1.396368-2 4.037444+4 1.412538-2 3.921761+4 1.445440-2 3.698461+4 1.450000-2 3.668972+4 1.462177-2 3.591525+4 1.479108-2 3.487706+4 1.500000-2 3.364655+4 1.531087-2 3.192908+4 1.548817-2 3.100320+4 1.566751-2 3.010246+4 1.584893-2 2.922634+4 1.603245-2 2.837679+4 1.640590-2 2.675381+4 1.659587-2 2.597936+4 1.678804-2 2.522826+4 1.680000-2 2.518250+4 1.698244-2 2.449919+4 1.737801-2 2.309874+4 1.757924-2 2.242747+4 1.778279-2 2.177627+4 1.798871-2 2.114081+4 1.819701-2 2.052494+4 1.840772-2 1.992748+4 1.862087-2 1.934641+4 1.883649-2 1.878312+4 1.905461-2 1.823465+4 1.927525-2 1.770240+4 1.950000-2 1.718159+4 1.972423-2 1.668311+4 1.995262-2 1.619506+4 2.041738-2 1.526300+4 2.065380-2 1.481635+4 2.089296-2 1.438306+4 2.089400-2 1.438122+4 2.089400-2 3.313859+4 2.104000-2 3.258579+4 2.113489-2 3.223359+4 2.118000-2 3.206807+4 2.137962-2 3.128863+4 2.162719-2 3.035839+4 2.187762-2 2.945615+4 2.213095-2 2.857845+4 2.238721-2 2.770648+4 2.264644-2 2.686084+4 2.290868-2 2.603982+4 2.317395-2 2.524381+4 2.344229-2 2.448362+4 2.371374-2 2.374649+4 2.398833-2 2.303196+4 2.400000-2 2.300226+4 2.454709-2 2.163623+4 2.511886-2 2.032581+4 2.540973-2 1.970106+4 2.570396-2 1.909528+4 2.600160-2 1.850751+4 2.650000-2 1.757608+4 2.660725-2 1.738398+4 2.679200-2 1.705984+4 2.679200-2 2.451051+4 2.691535-2 2.423378+4 2.722701-2 2.355412+4 2.725000-2 2.350508+4 2.754229-2 2.286493+4 2.762200-2 2.269434+4 2.762200-2 2.615016+4 2.786121-2 2.558837+4 2.805000-2 2.515697+4 2.818383-2 2.486387+4 2.830000-2 2.461342+4 2.851018-2 2.416381+4 2.884032-2 2.348097+4 2.917427-2 2.281807+4 2.930000-2 2.257544+4 2.940000-2 2.238675+4 2.951209-2 2.217567+4 3.000000-2 2.128852+4 3.019952-2 2.093986+4 3.054921-2 2.035393+4 3.070000-2 2.010564+4 3.090295-2 1.977381+4 3.126079-2 1.920755+4 3.162278-2 1.865797+4 3.198895-2 1.812449+4 3.235937-2 1.760118+4 3.311311-2 1.660076+4 3.349654-2 1.612261+4 3.400000-2 1.552402+4 3.427678-2 1.520825+4 3.467369-2 1.477064+4 3.500000-2 1.442419+4 3.507519-2 1.434595+4 3.548134-2 1.393454+4 3.589219-2 1.353440+4 3.630781-2 1.314574+4 3.672823-2 1.276827+4 3.715352-2 1.240193+4 3.758374-2 1.204634+4 3.801894-2 1.170118+4 3.845918-2 1.136354+4 3.890451-2 1.103380+4 3.935501-2 1.071386+4 4.027170-2 1.009759+4 4.073803-2 9.803252+3 4.120975-2 9.517349+3 4.168694-2 9.239944+3 4.216965-2 8.969434+3 4.265795-2 8.705560+3 4.315191-2 8.449621+3 4.365158-2 8.201170+3 4.415704-2 7.960195+3 4.466836-2 7.726428+3 4.518559-2 7.499672+3 4.623810-2 7.065725+3 4.677351-2 6.858505+3 4.731513-2 6.657513+3 4.841724-2 6.272956+3 4.897788-2 6.089303+3 4.954502-2 5.911127+3 5.011872-2 5.737369+3 5.069907-2 5.568840+3 5.128614-2 5.404286+3 5.188000-2 5.244579+3 5.248075-2 5.089553+3 5.300000-2 4.960648+3 5.308844-2 4.939001+3 5.495409-2 4.511633+3 5.500000-2 4.501783+3 5.559043-2 4.377623+3 5.754399-2 3.999350+3 5.888437-2 3.765917+3 6.000000-2 3.585987+3 6.025596-2 3.546416+3 6.095369-2 3.441230+3 6.165950-2 3.339129+3 6.200000-2 3.291380+3 6.237348-2 3.239911+3 6.309573-2 3.143509+3 6.382635-2 3.049556+3 6.456542-2 2.958477+3 6.606934-2 2.784413+3 6.800000-2 2.581293+3 6.918310-2 2.466275+3 6.998420-2 2.392428+3 7.161434-2 2.251434+3 7.244360-2 2.184090+3 7.328245-2 2.118733+3 7.413102-2 2.055358+3 7.498942-2 1.993912+3 7.585776-2 1.934325+3 7.673615-2 1.876555+3 7.852356-2 1.765851+3 7.943282-2 1.713012+3 8.128305-2 1.611762+3 8.222426-2 1.563451+3 8.317638-2 1.516341+3 8.413951-2 1.470678+3 8.609938-2 1.383510+3 8.709636-2 1.341881+3 8.810489-2 1.301498+3 8.912509-2 1.262346+3 9.015711-2 1.224394+3 9.120108-2 1.187602+3 9.332543-2 1.117343+3 9.549926-2 1.051258+3 9.885531-2 9.594947+2 1.000000-1 9.305946+2 1.011580-1 9.025781+2 1.023293-1 8.753737+2 1.035142-1 8.489757+2 1.047129-1 8.233853+2 1.059254-1 7.985558+2 1.083927-1 7.511311+2 1.096478-1 7.285001+2 1.122019-1 6.852942+2 1.135011-1 6.646731+2 1.161449-1 6.253037+2 1.174898-1 6.065048+2 1.202264-1 5.706138+2 1.216186-1 5.534028+2 1.230269-1 5.367167+2 1.303167-1 4.606404+2 1.318257-1 4.467793+2 1.333521-1 4.333419+2 1.364583-1 4.076834+2 1.380384-1 3.954381+2 1.396368-1 3.835659+2 1.426800-1 3.622978+2 1.426800-1 1.399324+3 1.428894-1 1.393699+3 1.431550-1 1.392552+3 1.445440-1 1.360198+3 1.460000-1 1.327413+3 1.462177-1 1.321997+3 1.473000-1 1.295516+3 1.479108-1 1.283112+3 1.496236-1 1.249193+3 1.500000-1 1.241912+3 1.531088-1 1.179781+3 1.548817-1 1.146290+3 1.566751-1 1.113755+3 1.640590-1 9.926294+2 1.659587-1 9.644755+2 1.678804-1 9.369280+2 1.698244-1 9.101834+2 1.737801-1 8.589731+2 1.757924-1 8.344614+2 1.798871-1 7.875258+2 1.819701-1 7.650612+2 1.840772-1 7.432406+2 1.862087-1 7.222071+2 1.883649-1 7.017714+2 1.927525-1 6.626525+2 1.949845-1 6.439219+2 2.000000-1 6.044616+2 2.018366-1 5.908610+2 2.041738-1 5.741701+2 2.065380-1 5.579534+2 2.089296-1 5.421968+2 2.113489-1 5.268868+2 2.213095-1 4.699304+2 2.238721-1 4.566844+2 2.264644-1 4.438131+2 2.290868-1 4.313059+2 2.317395-1 4.191528+2 2.371374-1 3.958716+2 2.398833-1 3.847326+2 2.426610-1 3.739081+2 2.454709-1 3.633889+2 2.483133-1 3.531669+2 2.511886-1 3.432348+2 2.540973-1 3.335896+2 2.570396-1 3.242165+2 2.600160-1 3.151076+2 2.630268-1 3.062554+2 2.660725-1 2.976376+2 2.691535-1 2.892631+2 2.722701-1 2.811253+2 2.786121-1 2.657230+2 2.818383-1 2.583421+2 2.851018-1 2.511746+2 2.884032-1 2.442078+2 2.917427-1 2.374350+2 2.951209-1 2.308515+2 2.985383-1 2.244547+2 3.000000-1 2.217952+2 3.019952-1 2.182363+2 3.054921-1 2.121906+2 3.090295-1 2.063301+2 3.126079-1 2.006317+2 3.162278-1 1.950911+2 3.198895-1 1.897041+2 3.235937-1 1.844660+2 3.273407-1 1.793748+2 3.311311-1 1.744244+2 3.349654-1 1.696168+2 3.388442-1 1.650205+2 3.467369-1 1.562086+2 3.507519-1 1.519814+2 3.548134-1 1.478689+2 3.589219-1 1.438679+2 3.630781-1 1.399754+2 3.715352-1 1.325166+2 3.801894-1 1.254563+2 3.845918-1 1.221209+2 3.890451-1 1.188805+2 3.935501-1 1.157266+2 3.981072-1 1.126578+2 4.027170-1 1.096722+2 4.073803-1 1.067659+2 4.120975-1 1.039369+2 4.168694-1 1.011830+2 4.216965-1 9.850225+1 4.229500-1 9.782277+1 4.315191-1 9.335251+1 4.365158-1 9.087974+1 4.415705-1 8.847834+1 4.518559-1 8.394741+1 4.570882-1 8.176997+1 4.623810-1 7.964998+1 4.677351-1 7.758508+1 4.731513-1 7.557468+1 4.786301-1 7.361676+1 4.841724-1 7.170974+1 4.897788-1 6.985227+1 4.954502-1 6.804415+1 5.000000-1 6.664196+1 5.011872-1 6.628299+1 5.069907-1 6.456991+1 5.128614-1 6.293432+1 5.188000-1 6.134349+1 5.248075-1 5.979305+1 5.308844-1 5.828240+1 5.370318-1 5.680997+1 5.432503-1 5.537551+1 5.495409-1 5.397733+1 5.559043-1 5.261542+1 5.623413-1 5.128816+1 5.688529-1 4.999470+1 5.754399-1 4.873562+1 5.821032-1 4.750832+1 5.888437-1 4.633385+1 5.956621-1 4.518860+1 6.025596-1 4.407459+1 6.095369-1 4.298813+1 6.165950-1 4.192919+1 6.237348-1 4.089641+1 6.309573-1 3.988927+1 6.382635-1 3.890744+1 6.456542-1 3.795120+1 6.531306-1 3.701859+1 6.683439-1 3.522181+1 6.760830-1 3.437321+1 6.804800-1 3.390472+1 6.839117-1 3.354559+1 6.918310-1 3.273794+1 6.998420-1 3.195161+1 7.079458-1 3.118421+1 7.161434-1 3.043528+1 7.181900-1 3.025244+1 7.244360-1 2.970486+1 7.328245-1 2.899217+1 7.413102-1 2.829694+1 7.498942-1 2.761841+1 7.585776-1 2.695681+1 7.673615-1 2.631111+1 7.717400-1 2.599778+1 7.762471-1 2.568672+1 7.852356-1 2.508267+1 7.943282-1 2.449285+1 8.035261-1 2.391784+1 8.128305-1 2.335753+1 8.317638-1 2.227602+1 8.413951-1 2.175422+1 8.511380-1 2.124471+1 8.609938-1 2.074714+1 8.709636-1 2.026175+1 8.810489-1 1.978906+1 8.912509-1 1.933666+1 9.015711-1 1.889463+1 9.120108-1 1.846272+1 9.225714-1 1.804069+1 9.332543-1 1.762953+1 9.440609-1 1.722821+1 9.549926-1 1.683623+1 9.660509-1 1.645393+1 9.772372-1 1.608034+1 9.885531-1 1.571546+1 1.000000+0 1.535934+1 1.011579+0 1.501724+1 1.023293+0 1.468276+1 1.035142+0 1.435587+1 1.047129+0 1.403624+1 1.059254+0 1.372420+1 1.071519+0 1.341945+1 1.083927+0 1.312145+1 1.096478+0 1.283056+1 1.109175+0 1.254611+1 1.122018+0 1.226799+1 1.135011+0 1.199600+1 1.148154+0 1.173031+1 1.161449+0 1.147056+1 1.174898+0 1.121665+1 1.188502+0 1.096838+1 1.202264+0 1.072594+1 1.216186+0 1.048899+1 1.230269+0 1.025733+1 1.244515+0 1.003622+1 1.250000+0 9.953029+0 1.258925+0 9.819927+0 1.273503+0 9.608941+0 1.288250+0 9.402507+0 1.303167+0 9.200518+0 1.318257+0 9.002940+0 1.348963+0 8.620969+0 1.364583+0 8.436214+0 1.380384+0 8.255550+0 1.396368+0 8.078820+0 1.412538+0 7.909862+0 1.428894+0 7.744451+0 1.445440+0 7.582989+0 1.479108+0 7.270130+0 1.500000+0 7.085971+0 1.513561+0 6.970408+0 1.531087+0 6.825323+0 1.548817+0 6.683250+0 1.566751+0 6.544281+0 1.603245+0 6.281840+0 1.659587+0 5.908979+0 1.698244+0 5.672807+0 1.717908+0 5.558330+0 1.737801+0 5.446320+0 1.757924+0 5.336624+0 1.778279+0 5.229263+0 1.819701+0 5.026258+0 1.840772+0 4.928054+0 1.862087+0 4.831770+0 1.883649+0 4.737367+0 1.905461+0 4.644817+0 1.927525+0 4.554077+0 1.949845+0 4.465141+0 1.972423+0 4.378080+0 1.995262+0 4.292770+0 2.000000+0 4.275406+0 2.018366+0 4.209198+0 2.044000+0 4.121686+0 2.065380+0 4.050904+0 2.113489+0 3.899033+0 2.137962+0 3.825247+0 2.213095+0 3.612180+0 2.238721+0 3.543854+0 2.264644+0 3.476916+0 2.290868+0 3.411276+0 2.317395+0 3.346944+0 2.344229+0 3.285346+0 2.371374+0 3.224881+0 2.426610+0 3.107635+0 2.454709+0 3.050620+0 2.540973+0 2.885791+0 2.570396+0 2.832870+0 2.600160+0 2.780995+0 2.630268+0 2.730098+0 2.660725+0 2.680185+0 2.691535+0 2.632380+0 2.722701+0 2.585429+0 2.786121+0 2.494311+0 2.851018+0 2.406405+0 2.917427+0 2.321606+0 2.951209+0 2.280349+0 2.985383+0 2.239883+0 3.000000+0 2.222935+0 3.019952+0 2.200151+0 3.054921+0 2.161178+0 3.090295+0 2.123865+0 3.126079+0 2.087197+0 3.198895+0 2.015983+0 3.273407+0 1.947200+0 3.388442+0 1.848409+0 3.427678+0 1.816618+0 3.467369+0 1.785419+0 3.507519+0 1.754775+0 3.548134+0 1.724690+0 3.589219+0 1.695868+0 3.630781+0 1.667527+0 3.715352+0 1.612439+0 3.801894+0 1.559169+0 3.935501+0 1.482554+0 4.000000+0 1.447822+0 4.027170+0 1.433620+0 4.073803+0 1.409800+0 4.120975+0 1.386403+0 4.168694+0 1.363971+0 4.216965+0 1.341902+0 4.365158+0 1.278019+0 4.466836+0 1.237129+0 4.623810+0 1.178239+0 4.677351+0 1.159246+0 4.731513+0 1.140586+0 4.786301+0 1.122238+0 4.841724+0 1.104205+0 4.897788+0 1.086913+0 4.954502+0 1.069891+0 5.128614+0 1.020569+0 5.248075+0 9.889576-1 5.495409+0 9.286476-1 5.559043+0 9.141591-1 5.623413+0 8.999177-1 5.688529+0 8.859065-1 5.754399+0 8.721288-1 5.821032+0 8.589096-1 5.888437+0 8.458908-1 6.095369+0 8.081286-1 6.237348+0 7.838952-1 6.531306+0 7.375909-1 6.606934+0 7.264529-1 6.683439+0 7.154984-1 6.760830+0 7.047154-1 6.839116+0 6.941064-1 6.918310+0 6.839113-1 7.000000+0 6.736707-1 7.328245+0 6.352600-1 7.498942+0 6.167947-1 7.852356+0 5.814621-1 7.943282+0 5.729528-1 8.035261+0 5.645794-1 8.128305+0 5.563331-1 8.222427+0 5.482157-1 8.317638+0 5.404096-1 8.413951+0 5.327148-1 8.511380+0 5.251295-1 8.912509+0 4.959442-1 9.120108+0 4.819656-1 9.549926+0 4.551819-1 9.772372+0 4.423750-1 9.885531+0 4.361117-1 1.000000+1 4.299425-1 1.011579+1 4.240036-1 1.023293+1 4.181464-1 1.035142+1 4.123704-1 1.100000+1 3.832623-1 1.122018+1 3.742212-1 1.174898+1 3.540293-1 1.202264+1 3.443618-1 1.216186+1 3.396303-1 1.230269+1 3.349677-1 1.244515+1 3.304683-1 1.258925+1 3.260296-1 1.273503+1 3.216502-1 1.400000+1 2.878746-1 1.412538+1 2.848835-1 1.462177+1 2.735880-1 1.479108+1 2.699287-1 1.496236+1 2.663203-1 1.500000+1 2.655394-1 1.513561+1 2.627627-1 1.531087+1 2.593203-1 1.548817+1 2.559227-1 1.566751+1 2.525700-1 1.778279+1 2.185482-1 1.800000+1 2.155379-1 1.862087+1 2.073479-1 1.883649+1 2.046429-1 1.905461+1 2.019746-1 1.927525+1 1.993433-1 1.949845+1 1.968007-1 1.972423+1 1.942908-1 2.000000+1 1.913063-1 2.018366+1 1.893665-1 2.041738+1 1.869512-1 2.238721+1 1.687549-1 2.290868+1 1.644895-1 2.400000+1 1.561956-1 2.426610+1 1.542933-1 2.483133+1 1.503992-1 2.540973+1 1.466052-1 2.600160+1 1.429099-1 2.660725+1 1.393857-1 2.691535+1 1.376564-1 2.722701+1 1.359485-1 2.754229+1 1.342618-1 2.884032+1 1.277381-1 2.917427+1 1.261573-1 3.090295+1 1.185426-1 3.162278+1 1.156278-1 3.311311+1 1.100160-1 3.349654+1 1.086562-1 3.388442+1 1.073136-1 3.589219+1 1.008456-1 3.801894+1 9.477101-2 3.890451+1 9.248378-2 3.935501+1 9.136095-2 4.000000+1 8.979872-2 4.027170+1 8.915748-2 4.168694+1 8.595640-2 4.365158+1 8.186665-2 4.415704+1 8.087532-2 4.570882+1 7.797541-2 4.623810+1 7.703210-2 4.677351+1 7.610051-2 5.011872+1 7.074285-2 5.495409+1 6.418496-2 5.688529+1 6.191730-2 5.754399+1 6.117937-2 5.888437+1 5.972978-2 5.956621+1 5.901916-2 6.000000+1 5.857564-2 6.237348+1 5.626022-2 6.606934+1 5.299237-2 6.683439+1 5.236211-2 6.918310+1 5.051727-2 6.998420+1 4.991690-2 7.079458+1 4.932383-2 7.673615+1 4.536503-2 7.762471+1 4.482622-2 8.709636+1 3.977855-2 9.120108+1 3.794274-2 9.332543+1 3.705687-2 9.549926+1 3.619168-2 9.660509+1 3.576728-2 9.772372+1 3.534785-2 1.023293+2 3.371877-2 1.035142+2 3.332339-2 1.109175+2 3.104655-2 1.122018+2 3.068259-2 1.174898+2 2.926970-2 1.188502+2 2.892679-2 1.216186+2 2.825309-2 1.333521+2 2.571164-2 1.348963+2 2.541054-2 1.531087+2 2.232277-2 1.603245+2 2.130395-2 1.640590+2 2.081211-2 1.678804+2 2.033164-2 1.698244+2 2.009579-2 1.717908+2 1.986270-2 1.737801+2 1.963230-2 1.819701+2 1.873712-2 1.840772+2 1.851979-2 2.018366+2 1.686945-2 2.041738+2 1.667377-2 2.065380+2 1.648039-2 2.344229+2 1.449634-2 2.371374+2 1.432828-2 2.426610+2 1.399803-2 2.660725+2 1.275139-2 2.691535+2 1.260360-2 3.054921+2 1.108683-2 3.198895+2 1.058494-2 3.273407+2 1.034257-2 3.349654+2 1.010576-2 3.388442+2 9.989481-3 3.427678+2 9.874541-3 3.467369+2 9.760922-3 3.630781+2 9.319373-3 3.672823+2 9.212146-3 4.027170+2 8.397567-3 4.073803+2 8.300944-3 4.120975+2 8.205441-3 4.677351+2 7.224989-3 4.731513+2 7.141889-3 4.841724+2 6.978562-3 5.308844+2 6.361762-3 5.370318+2 6.288605-3 1.216186+3 2.766494-3 1.273503+3 2.641834-3 1.303167+3 2.581627-3 1.333521+3 2.522793-3 1.348963+3 2.493890-3 1.364583+3 2.465321-3 1.380384+3 2.437078-3 1.445440+3 2.327304-3 1.462177+3 2.300643-3 1.603245+3 2.098058-3 1.621810+3 2.074022-3 1.640590+3 2.050263-3 1.862087+3 1.806245-3 1.883649+3 1.785557-3 1.927525+3 1.744891-3 2.113489+3 1.591279-3 2.137962+3 1.573055-3 1.000000+5 3.357030-5 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 0 0.0 0.0 0.0 0.0 0.0 5.850000-6 5.850000-6 1.018000-5 5.850000-6 1.018000-5 8.516433-6 1.023293-5 8.497336-6 1.122018-5 8.510876-6 1.229000-5 8.576413-6 1.229000-5 9.918368-6 1.273503-5 9.916459-6 1.427100-5 9.989242-6 2.000000-5 1.044190-5 2.300000-5 1.061678-5 2.577000-5 1.072565-5 2.577000-5 2.404235-5 2.830000-5 2.249525-5 3.350000-5 1.909171-5 3.570000-5 1.776757-5 3.715352-5 1.697791-5 3.845918-5 1.633610-5 4.027170-5 1.554453-5 4.127000-5 1.516403-5 4.127000-5 2.652122-5 4.175000-5 2.584574-5 4.265795-5 2.473864-5 4.330000-5 2.405242-5 4.415704-5 2.323731-5 4.518559-5 2.235864-5 4.650000-5 2.137930-5 4.800000-5 2.040351-5 4.954502-5 1.952793-5 5.150000-5 1.855913-5 5.432503-5 1.739526-5 5.623413-5 1.672902-5 5.900000-5 1.589869-5 6.165950-5 1.523655-5 6.485000-5 1.458714-5 6.485000-5 1.564348-5 6.900000-5 1.483623-5 7.244360-5 1.428757-5 7.585776-5 1.385301-5 7.900000-5 1.353196-5 8.222426-5 1.326622-5 8.709636-5 1.296409-5 9.120108-5 1.277748-5 9.800000-5 1.256659-5 1.060000-4 1.242158-5 1.150000-4 1.235565-5 1.252500-4 1.237547-5 1.350000-4 1.247492-5 1.392900-4 1.254500-5 1.392900-4 2.274452-5 1.402000-4 2.413090-5 1.415000-4 2.620453-5 1.428894-4 2.862026-5 1.462177-4 3.461497-5 1.472000-4 3.633441-5 1.482000-4 3.800676-5 1.500000-4 4.079671-5 1.510000-4 4.219821-5 1.520000-4 4.347300-5 1.531087-4 4.476196-5 1.538900-4 4.558854-5 1.538900-4 5.257433-5 1.570000-4 5.737463-5 1.620200-4 6.523130-5 1.648000-4 6.913447-5 1.670000-4 7.184083-5 1.700000-4 7.491125-5 1.725000-4 7.698419-5 1.760000-4 7.944004-5 1.820000-4 8.301221-5 2.065380-4 9.604245-5 2.190000-4 1.021897-4 2.267700-4 1.055404-4 2.340000-4 1.080460-4 2.407000-4 1.096241-4 2.465000-4 1.102819-4 2.520000-4 1.102305-4 2.580000-4 1.093877-4 2.643000-4 1.077345-4 2.691700-4 1.059406-4 2.691700-4 1.217423-4 2.778000-4 1.191893-4 2.900000-4 1.145888-4 3.162278-4 1.038042-4 3.280000-4 9.941121-5 3.404700-4 9.539784-5 3.550000-4 9.142590-5 3.680600-4 8.849511-5 3.680600-4 1.064164-4 3.699000-4 1.045097-4 3.715352-4 1.033178-4 3.748000-4 1.017537-4 3.815000-4 9.960427-5 3.890451-4 9.768745-5 4.027170-4 9.464218-5 4.120975-4 9.275761-5 4.265795-4 9.039673-5 4.430000-4 8.820657-5 4.461100-4 8.785213-5 4.461100-4 9.383054-5 4.677351-4 9.170804-5 4.850000-4 9.044308-5 5.188000-4 8.869255-5 5.500000-4 8.772476-5 5.816200-4 8.725632-5 5.816200-4 9.770896-5 5.825500-4 9.642169-5 5.838500-4 9.538496-5 5.858000-4 9.455017-5 5.890000-4 9.393501-5 5.945000-4 9.359767-5 6.005200-4 9.356160-5 6.005200-4 1.002628-4 6.018000-4 9.951721-5 6.040000-4 9.894363-5 6.085000-4 9.873547-5 6.135000-4 9.914987-5 6.190000-4 1.001930-4 6.240000-4 1.017526-4 6.280000-4 1.035375-4 6.328000-4 1.064094-4 6.382635-4 1.106819-4 6.435000-4 1.156758-4 6.515000-4 1.244233-4 6.633000-4 1.375605-4 6.700000-4 1.442315-4 6.760830-4 1.494814-4 6.820000-4 1.538067-4 6.880000-4 1.574492-4 6.970000-4 1.616971-4 7.060000-4 1.647761-4 7.170000-4 1.673962-4 7.328245-4 1.696860-4 7.560000-4 1.713599-4 7.950000-4 1.723118-4 9.120108-4 1.725457-4 9.943600-4 1.723746-4 9.943600-4 1.750122-4 1.000500-3 1.784829-4 1.008000-3 1.830793-4 1.013500-3 1.851262-4 1.020200-3 1.863918-4 1.040000-3 1.880391-4 1.061800-3 1.887777-4 1.061800-3 1.959141-4 1.202264-3 2.016882-4 1.273503-3 2.043351-4 1.359600-3 2.066304-4 1.359600-3 2.192951-4 1.675900-3 2.288354-4 1.739000-3 2.305552-4 1.739000-3 2.333787-4 1.925800-3 2.387205-4 1.925800-3 2.434176-4 2.371374-3 2.554409-4 2.851018-3 2.661422-4 3.400000-3 2.763565-4 4.073803-3 2.865710-4 4.492700-3 2.920073-4 4.492700-3 4.089502-4 4.760800-3 4.110500-4 4.760800-3 4.364309-4 5.069907-3 4.386454-4 5.392600-3 4.388161-4 5.392600-3 4.714671-4 5.559043-3 4.714753-4 6.784000-3 4.769728-4 6.784000-3 4.942380-4 7.179700-3 4.966907-4 7.179700-3 5.110426-4 9.500000-3 5.303121-4 1.216186-2 5.477730-4 1.531087-2 5.639557-4 1.927525-2 5.795956-4 2.089400-2 5.849148-4 2.089400-2 6.823482-4 2.679200-2 6.877367-4 2.679200-2 7.209352-4 2.762200-2 7.217860-4 2.762200-2 7.704598-4 3.801894-2 7.885625-4 5.308844-2 8.067755-4 7.328245-2 8.233384-4 1.011580-1 8.389062-4 1.396368-1 8.529724-4 1.426800-1 8.538715-4 1.426800-1 7.875872-4 3.311311-1 7.923159-4 9.332543-1 7.948708-4 1.000000+5 7.949021-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.850000-6 0.0 2.691700-4 0.0 2.691700-4 1.569087-9 2.754229-4 1.571730-9 2.818383-4 1.562069-9 2.900000-4 1.537823-9 3.020000-4 1.484638-9 3.100000-4 1.441033-9 3.280000-4 1.331973-9 3.500000-4 1.211049-9 3.630781-4 1.144741-9 3.680600-4 1.121733-9 3.680600-4 5.833908-9 3.683500-4 5.782460-9 3.689000-4 5.627063-9 3.694000-4 5.510873-9 3.699000-4 5.410981-9 3.707000-4 5.279487-9 3.715352-4 5.168609-9 3.725000-4 5.065094-9 3.736000-4 4.968564-9 3.748000-4 4.882743-9 3.762000-4 4.799893-9 3.785000-4 4.688587-9 3.815000-4 4.570555-9 3.890451-4 4.319997-9 4.027170-4 3.913084-9 4.120975-4 3.659349-9 4.216965-4 3.437675-9 4.315191-4 3.234210-9 4.365158-4 3.136755-9 4.430000-4 3.020421-9 4.461100-4 2.970454-9 4.461100-4 3.525794-9 4.550300-4 3.389384-9 4.677351-4 3.218757-9 4.786301-4 3.088593-9 4.850000-4 3.018448-9 5.011872-4 2.861001-9 5.150000-4 2.740895-9 5.308844-4 2.624261-9 5.432503-4 2.544615-9 5.623413-4 2.441546-9 5.816200-4 2.356236-9 5.816200-4 1.658842-8 5.817000-4 1.635966-8 5.819500-4 1.584005-8 5.822500-4 1.530280-8 5.825500-4 1.484283-8 5.829000-4 1.438013-8 5.834000-4 1.384012-8 5.838500-4 1.343814-8 5.843000-4 1.310497-8 5.847000-4 1.285191-8 5.852000-4 1.258082-8 5.858000-4 1.231078-8 5.864000-4 1.208963-8 5.871000-4 1.187983-8 5.879000-4 1.168755-8 5.890000-4 1.148570-8 5.900000-4 1.134887-8 5.910000-4 1.124502-8 5.925000-4 1.113488-8 5.945000-4 1.104656-8 5.970000-4 1.099752-8 6.005200-4 1.101771-8 6.005200-4 1.395049-8 6.010000-4 1.380497-8 6.018000-4 1.364528-8 6.027000-4 1.352817-8 6.040000-4 1.345112-8 6.055000-4 1.343322-8 6.065000-4 1.345675-8 6.090000-4 1.362894-8 6.110000-4 1.386108-8 6.135000-4 1.426798-8 6.150000-4 1.458550-8 6.165950-4 1.498125-8 6.185000-4 1.554676-8 6.200000-4 1.606740-8 6.220000-4 1.687034-8 6.240000-4 1.781233-8 6.260000-4 1.890264-8 6.280000-4 2.015013-8 6.300000-4 2.156120-8 6.309573-4 2.230498-8 6.330000-4 2.399361-8 6.345000-4 2.536105-8 6.370000-4 2.780348-8 6.385000-4 2.938274-8 6.400000-4 3.103738-8 6.415000-4 3.276359-8 6.445000-4 3.642106-8 6.480000-4 4.084956-8 6.540000-4 4.861008-8 6.590000-4 5.483136-8 6.615000-4 5.776821-8 6.640000-4 6.055661-8 6.670000-4 6.368193-8 6.700000-4 6.655232-8 6.730000-4 6.915896-8 6.760830-4 7.156071-8 6.790000-4 7.358010-8 6.820000-4 7.540994-8 6.850000-4 7.700282-8 6.880000-4 7.837496-8 6.910000-4 7.954460-8 6.970000-4 8.135744-8 7.040000-4 8.277951-8 7.120000-4 8.376988-8 7.220000-4 8.446516-8 7.400000-4 8.500759-8 7.730000-4 8.515204-8 8.850000-4 8.461045-8 9.943600-4 8.381312-8 9.943600-4 8.426065-8 1.011000-3 8.571907-8 1.023293-3 8.604674-8 1.061800-3 8.615679-8 1.061800-3 1.143410-7 1.076000-3 1.160072-7 1.174898-3 1.246841-7 1.216186-3 1.280752-7 1.258925-3 1.316494-7 1.273503-3 1.327590-7 1.359600-3 1.366084-7 1.359600-3 1.849483-7 1.513561-3 1.957247-7 1.739000-3 2.103220-7 1.739000-3 2.194919-7 1.925800-3 2.324899-7 1.925800-3 2.537237-7 2.238721-3 2.770976-7 2.540973-3 2.979660-7 2.934720-3 3.222673-7 3.273407-3 3.415761-7 3.672823-3 3.619615-7 4.216965-3 3.871720-7 4.492700-3 3.988487-7 4.492700-3 4.385005-7 4.760800-3 4.434785-7 4.760800-3 7.835437-5 4.800000-3 7.919584-5 4.850000-3 8.046948-5 4.954502-3 8.257480-5 5.011872-3 8.353120-5 5.069907-3 8.380751-5 5.392600-3 8.353633-5 5.392600-3 8.465218-5 5.821032-3 8.449390-5 6.784000-3 8.369812-5 6.784000-3 9.382389-5 6.839116-3 9.369300-5 7.179700-3 9.414319-5 7.179700-3 9.610735-5 9.000000-3 9.895722-5 1.122018-2 1.016352-4 1.244515-2 1.029775-4 1.531087-2 1.056072-4 1.927525-2 1.083761-4 2.089400-2 1.093235-4 2.089400-2 5.170902-3 2.137962-2 5.177485-3 2.454709-2 5.132797-3 2.679200-2 5.090286-3 2.679200-2 7.992281-3 2.762200-2 8.021962-3 2.762200-2 8.411818-3 3.235937-2 8.510815-3 4.073803-2 8.624012-3 5.500000-2 8.720943-3 7.673615-2 8.791616-3 1.230269-1 8.847597-3 1.426800-1 8.858285-3 1.426800-1 9.842038-2 1.462177-1 9.866707-2 1.819701-1 9.959375-2 2.483133-1 1.006068-1 3.630781-1 1.015987-1 6.237348-1 1.028595-1 9.772372-1 1.036371-1 1.000000+5 1.036785-1 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 0 0.0 0.0 0.0 0.0 0.0 5.850000-6 0.0 1.018000-5 4.330000-6 1.018000-5 1.663567-6 1.022000-5 1.720208-6 1.023293-5 1.735594-6 1.071519-5 2.218676-6 1.097000-5 2.468714-6 1.161449-5 3.085893-6 1.229000-5 3.713587-6 1.229000-5 2.371632-6 1.244515-5 2.536357-6 1.333521-5 3.398277-6 1.427100-5 4.281758-6 1.630000-5 6.154075-6 1.950000-5 9.093962-6 2.213095-5 1.155817-5 2.577000-5 1.504435-5 2.577000-5 1.727648-6 2.587000-5 1.900629-6 2.615000-5 2.342055-6 2.691535-5 3.561759-6 2.786121-5 5.088793-6 2.951209-5 7.802595-6 3.311311-5 1.377429-5 3.548134-5 1.758835-5 3.715352-5 2.017561-5 3.845918-5 2.212308-5 4.073803-5 2.537542-5 4.127000-5 2.610597-5 4.127000-5 1.474878-5 4.175000-5 1.590426-5 4.220000-5 1.692360-5 4.265795-5 1.791931-5 4.330000-5 1.924758-5 4.415704-5 2.091973-5 4.518559-5 2.282695-5 4.650000-5 2.512070-5 4.841724-5 2.825836-5 5.069907-5 3.175658-5 5.150000-5 3.294087-5 5.500000-5 3.785260-5 5.900000-5 4.310131-5 6.237348-5 4.729573-5 6.485000-5 5.026286-5 6.485000-5 4.920652-5 7.150000-5 5.707097-5 7.900000-5 6.546804-5 9.015711-5 7.733783-5 1.100000-4 9.761805-5 1.392900-4 1.267450-4 1.392900-4 1.165455-4 1.420000-4 1.149374-4 1.482000-4 1.101932-4 1.510000-4 1.088018-4 1.538900-4 1.083015-4 1.538900-4 1.013157-4 1.620200-4 9.678870-5 1.655000-4 9.546252-5 1.680000-4 9.508690-5 1.705000-4 9.515339-5 1.740000-4 9.589312-5 1.778279-4 9.722921-5 1.850000-4 1.003646-4 2.065380-4 1.104955-4 2.190000-4 1.168103-4 2.267700-4 1.212296-4 2.340000-4 1.259540-4 2.407000-4 1.310759-4 2.465000-4 1.362181-4 2.520000-4 1.417695-4 2.580000-4 1.486123-4 2.643000-4 1.565655-4 2.691700-4 1.632294-4 2.691700-4 1.474261-4 2.800000-4 1.615779-4 3.000000-4 1.895599-4 3.260000-4 2.258799-4 3.480000-4 2.547524-4 3.680600-4 2.795638-4 3.680600-4 2.616377-4 3.707000-4 2.668169-4 3.762000-4 2.749620-4 3.981072-4 3.024602-4 4.265795-4 3.361794-4 4.461100-4 3.582549-4 4.461100-4 3.522759-4 4.954502-4 4.056068-4 5.650000-4 4.775352-4 5.816200-4 4.943613-4 5.816200-4 4.838945-4 5.847000-4 4.897360-4 5.945000-4 5.008913-4 6.005200-4 5.069474-4 6.005200-4 5.002432-4 6.065000-4 5.077571-4 6.200000-4 5.195300-4 6.309573-4 5.257236-4 6.415000-4 5.277956-4 6.700000-4 5.257020-4 6.820000-4 5.281178-4 6.970000-4 5.352216-4 7.170000-4 5.495196-4 7.500000-4 5.788680-4 8.511380-4 6.784625-4 9.943600-4 8.219016-4 9.943600-4 8.192635-4 1.012400-3 8.275034-4 1.045000-3 8.566281-4 1.061800-3 8.729361-4 1.061800-3 8.657715-4 1.359600-3 1.152833-3 1.359600-3 1.140120-3 1.739000-3 1.508234-3 1.739000-3 1.505402-3 1.925800-3 1.686847-3 1.925800-3 1.682129-3 3.349654-3 3.073807-3 4.492700-3 4.200294-3 4.492700-3 4.083312-3 4.760800-3 4.349307-3 4.760800-3 4.246015-3 5.392600-3 4.870248-3 5.392600-3 4.836481-3 6.784000-3 6.223329-3 6.784000-3 6.195938-3 7.179700-3 6.588866-3 7.179700-3 6.572550-3 1.995262-2 1.926194-2 2.089400-2 2.019976-2 2.089400-2 1.504075-2 2.570396-2 1.990727-2 2.679200-2 2.101398-2 2.679200-2 1.807878-2 2.762200-2 1.887825-2 2.762200-2 1.843972-2 4.027170-2 3.086059-2 8.413951-2 7.450323-2 1.426800-1 1.329678-1 1.426800-1 4.347204-2 1.428894-1 4.368605-2 1.431550-1 4.382404-2 1.462177-1 4.676296-2 1.479108-1 4.843835-2 1.531088-1 5.340321-2 1.927525-1 9.215433-2 3.019952-1 2.000384-1 8.609938-1 7.567298-1 1.000000+5 9.999990+4 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+0 0.0 0.0 0.0 1.426800-1 1.037026+3 1.428894-1 1.032804+3 1.431550-1 1.033425+3 1.460000-1 9.864900+2 1.473000-1 9.624860+2 1.500000-1 9.245200+2 1.659587-1 7.215351+2 1.840772-1 5.582510+2 2.722701-1 2.139428+2 3.349654-1 1.298620+2 3.801894-1 9.637147+1 4.415705-1 6.823386+1 5.069907-1 4.996490+1 5.821032-1 3.688626+1 6.683439-1 2.743069+1 7.717400-1 2.030687+1 8.810489-1 1.549599+1 1.000000+0 1.204615+1 1.230269+0 8.049268+0 1.396368+0 6.337905+0 1.566751+0 5.132902+0 1.778279+0 4.101595+0 2.018366+0 3.301709+0 2.317395+0 2.625458+0 2.660725+0 2.102492+0 3.054921+0 1.695393+0 3.548134+0 1.352986+0 4.120975+0 1.087615+0 4.841724+0 8.662280-1 5.754399+0 6.841690-1 6.839116+0 5.445158-1 8.222427+0 4.300620-1 1.000000+1 3.372800-1 1.230269+1 2.627763-1 1.513561+1 2.061394-1 1.927525+1 1.563785-1 2.600160+1 1.121025-1 3.801894+1 7.434314-2 5.495409+1 5.034916-2 8.709636+1 3.120371-2 1.531087+2 1.751085-2 3.054921+2 8.697190-3 1.216186+3 2.170266-3 1.000000+5 2.633800-5 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+0 0.0 0.0 0.0 1.426800-1 7.644300-4 1.000000+5 7.644300-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.426800-1 1.297100-1 1.000000+5 1.297100-1 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+0 0.0 0.0 0.0 1.426800-1 1.220557-2 1.000000+5 9.999987+4 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+0 0.0 0.0 0.0 2.762200-2 3.455822+3 2.805000-2 3.348731+3 2.940000-2 3.100640+3 3.019952-2 2.951913+3 3.198895-2 2.682884+3 3.507519-2 2.268230+3 3.845918-2 1.924103+3 4.216965-2 1.617503+3 5.300000-2 1.031570+3 6.025596-2 7.923174+2 6.800000-2 6.155720+2 8.222426-2 4.086790+2 9.885531-2 2.716672+2 1.202264-1 1.742286+2 1.479108-1 1.079106+2 2.113489-1 4.682540+1 2.630268-1 2.818577+1 3.054921-1 1.975480+1 3.630781-1 1.328547+1 4.365158-1 8.768947+0 5.128614-1 6.138762+0 5.956621-1 4.439109+0 6.918310-1 3.234466+0 8.035261-1 2.373483+0 9.225714-1 1.794584+0 1.083927+0 1.306753+0 1.258925+0 9.780712-1 1.428894+0 7.710902-1 1.603245+0 6.252880-1 1.819701+0 5.002832-1 2.065380+0 4.031642-1 2.371374+0 3.209013-1 2.722701+0 2.572315-1 3.126079+0 2.076330-1 3.630781+0 1.658894-1 4.216965+0 1.334953-1 4.954502+0 1.064357-1 5.888437+0 8.415494-2 7.000000+0 6.702300-2 8.511380+0 5.223701-2 1.035142+1 4.102160-2 1.273503+1 3.200041-2 1.566751+1 2.512598-2 2.041738+1 1.859448-2 2.754229+1 1.335536-2 4.000000+1 8.932700-3 5.888437+1 5.941767-3 9.549926+1 3.600276-3 1.678804+2 2.023032-3 3.349654+2 1.005569-3 1.333521+3 2.510440-4 1.000000+5 3.341200-6 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+0 0.0 0.0 0.0 2.762200-2 1.090100-3 1.000000+5 1.090100-3 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.762200-2 1.097200-2 1.000000+5 1.097200-2 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+0 0.0 0.0 0.0 2.762200-2 1.555990-2 1.000000+5 9.999999+4 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.000000+0 0.0 0.0 0.0 2.679200-2 7.450665+3 2.725000-2 7.213700+3 2.830000-2 6.613800+3 2.930000-2 6.081900+3 3.070000-2 5.454100+3 3.801894-2 3.222300+3 4.168694-2 2.551400+3 5.069907-2 1.538400+3 6.309573-2 8.617300+2 7.943282-2 4.628500+2 1.011580-1 2.389000+2 1.883649-1 4.313200+1 2.371374-1 2.303300+1 2.818383-1 1.448854+1 3.311311-1 9.466344+0 3.845918-1 6.423490+0 4.415705-1 4.523994+0 5.011872-1 3.303812+0 5.688529-1 2.431108+0 6.382635-1 1.852390+0 7.181900-1 1.412339+0 7.943282-1 1.124996+0 8.709636-1 9.197251-1 9.549926-1 7.574602-1 1.047129+0 6.289147-1 1.188502+0 4.907206-1 1.318257+0 4.031058-1 1.500000+0 3.179452-1 1.717908+0 2.495049-1 1.949845+0 2.004055-1 2.238721+0 1.590562-1 2.570396+0 1.271554-1 2.951209+0 1.023666-1 3.427678+0 8.154739-2 4.000000+0 6.499800-2 4.677351+0 5.204114-2 5.559043+0 4.103907-2 6.606934+0 3.261397-2 7.943282+0 2.572300-2 9.549926+0 2.043316-2 1.174898+1 1.589264-2 1.462177+1 1.228349-2 1.862087+1 9.310165-3 2.426610+1 6.926820-3 3.162278+1 5.189372-3 4.415704+1 3.629624-3 6.683439+1 2.350040-3 1.122018+2 1.377016-3 2.065380+2 7.399908-4 4.120975+2 3.683903-4 1.640590+3 9.207010-5 1.000000+5 1.507900-6 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.000000+0 0.0 0.0 0.0 2.679200-2 7.969500-4 1.000000+5 7.969500-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.679200-2 1.463700-2 1.000000+5 1.463700-2 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.000000+0 0.0 0.0 0.0 2.679200-2 1.135805-2 1.000000+5 9.999998+4 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 6.000000+0 0.0 0.0 0.0 2.089400-2 1.875737+4 2.118000-2 1.818143+4 2.213095-2 1.617452+4 2.317395-2 1.423488+4 2.400000-2 1.294824+4 3.054921-2 6.566925+3 3.548134-2 4.257891+3 3.935501-2 3.148333+3 4.954502-2 1.588806+3 6.200000-2 8.066080+2 7.673615-2 4.197711+2 1.023293-1 1.722622+2 1.678804-1 3.697471+1 2.113489-1 1.820939+1 2.511886-1 1.077812+1 2.951209-1 6.668408+0 3.388442-1 4.449477+0 3.845918-1 3.092025+0 4.365158-1 2.164982+0 4.897788-1 1.577434+0 5.495409-1 1.158024+0 6.095369-1 8.829079-1 6.760830-1 6.780243-1 7.498942-1 5.242728-1 8.709636-1 3.644621-1 9.332543-1 3.101797-1 9.885531-1 2.728197-1 1.059254+0 2.357992-1 1.135011+0 2.051899-1 1.230269+0 1.757002-1 1.348963+0 1.482222-1 1.737801+0 9.437285-2 1.972423+0 7.579474-2 2.264644+0 6.018553-2 2.600160+0 4.813268-2 3.000000+0 3.847000-2 3.467369+0 3.089531-2 4.027170+0 2.480842-2 4.731513+0 1.973838-2 5.623413+0 1.557298-2 6.683439+0 1.238247-2 8.035261+0 9.770600-3 9.772372+0 7.655762-3 1.202264+1 5.959619-3 1.479108+1 4.671732-3 1.883649+1 3.541882-3 2.483133+1 2.602701-3 3.349654+1 1.879629-3 4.623810+1 1.332490-3 6.998420+1 8.634408-4 1.188502+2 5.003657-4 2.371374+2 2.479415-4 4.731513+2 1.235527-4 1.883649+3 3.090247-5 1.000000+5 5.812000-7 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 6.000000+0 0.0 0.0 0.0 2.089400-2 7.570500-4 1.000000+5 7.570500-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.089400-2 9.051600-3 1.000000+5 9.051600-3 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 6.000000+0 0.0 0.0 0.0 2.089400-2 1.108535-2 1.000000+5 9.999999+4 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 8.000000+0 0.0 0.0 0.0 7.179700-3 8.410412+3 7.413102-3 8.051690+3 7.600000-3 7.814220+3 7.852356-3 7.492918+3 8.035261-3 7.292420+3 8.709636-3 6.525258+3 9.500000-3 5.816980+3 1.023293-2 5.218403+3 1.090000-2 4.740260+3 1.161449-2 4.319845+3 1.244515-2 3.876331+3 1.531087-2 2.765384+3 1.698244-2 2.313981+3 1.972423-2 1.778697+3 2.290868-2 1.352211+3 2.570396-2 1.089763+3 3.054921-2 7.808748+2 3.630781-2 5.537091+2 4.315191-2 3.889786+2 5.128614-2 2.707705+2 6.095369-2 1.868892+2 7.244360-2 1.279675+2 8.609938-2 8.698228+1 1.047129-1 5.572099+1 1.303167-1 3.359023+1 1.737801-1 1.710747+1 2.630268-1 6.453483+0 3.235937-1 3.987889+0 3.935501-1 2.549942+0 4.677351-1 1.730926+0 5.370318-1 1.277692+0 6.309573-1 9.035413-1 7.328245-1 6.596778-1 8.609938-1 4.737456-1 9.772372-1 3.676254-1 1.202264+0 2.453267-1 1.364583+0 1.928992-1 1.548817+0 1.527957-1 1.757924+0 1.220001-1 2.000000+0 9.773598-2 2.290868+0 7.796909-2 2.630268+0 6.239130-2 3.019952+0 5.027281-2 3.507519+0 4.009538-2 4.073803+0 3.221363-2 4.786301+0 2.564358-2 5.688529+0 2.024344-2 6.760830+0 1.610357-2 8.128305+0 1.271249-2 9.885531+0 9.965653-3 1.216186+1 7.760998-3 1.500000+1 6.068500-3 1.905461+1 4.615494-3 2.540973+1 3.349896-3 3.589219+1 2.303748-3 5.011872+1 1.615860-3 7.673615+1 1.036133-3 1.333521+2 5.872653-4 2.660725+2 2.913249-4 5.308844+2 1.452882-4 2.113489+3 3.635695-5 1.000000+5 7.673100-7 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 8.000000+0 0.0 0.0 0.0 7.179700-3 8.598900-4 1.000000+5 8.598900-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 7.179700-3 1.438500-4 1.000000+5 1.438500-4 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 8.000000+0 0.0 0.0 0.0 7.179700-3 6.175960-3 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.000000+1 0.0 0.0 0.0 6.784000-3 1.373092+4 6.814000-3 1.340951+4 6.890000-3 1.312461+4 7.244360-3 1.255011+4 7.585776-3 1.196134+4 8.413951-3 1.060219+4 8.912509-3 9.845667+3 9.549926-3 8.932808+3 1.047129-2 7.812930+3 1.170000-2 6.590560+3 1.380384-2 4.989597+3 1.479108-2 4.410546+3 1.737801-2 3.262183+3 1.883649-2 2.786803+3 2.187762-2 2.058393+3 2.400000-2 1.694382+3 2.754229-2 1.259478+3 3.198895-2 9.017394+2 3.589219-2 6.924529+2 4.073803-2 5.147281+2 4.731513-2 3.595102+2 5.500000-2 2.486000+2 6.456542-2 1.664786+2 7.673615-2 1.072624+2 9.332543-2 6.464392+1 1.161449-1 3.640637+1 2.317395-1 5.831212+0 2.851018-1 3.387644+0 3.388442-1 2.168970+0 3.981072-1 1.441176+0 4.570882-1 1.022239+0 5.248075-1 7.305136-1 5.956621-1 5.408630-1 6.683439-1 4.144929-1 7.498942-1 3.198090-1 8.609938-1 2.361176-1 9.440609-1 1.941928-1 1.023293+0 1.648040-1 1.161449+0 1.284079-1 1.303167+0 1.030784-1 1.479108+0 8.161076-2 1.698244+0 6.370419-2 1.927525+0 5.112964-2 2.213095+0 4.055466-2 2.540973+0 3.239729-2 2.917427+0 2.606036-2 3.388442+0 2.074758-2 3.935501+0 1.664193-2 4.623810+0 1.322558-2 5.495409+0 1.042393-2 6.531306+0 8.279928-3 7.852356+0 6.527396-3 9.549926+0 5.109855-3 1.174898+1 3.974412-3 1.462177+1 3.071788-3 1.862087+1 2.328291-3 2.400000+1 1.753500-3 3.090295+1 1.330413-3 4.365158+1 9.188366-4 6.606934+1 5.947673-4 1.109175+2 3.484545-4 2.041738+2 1.872262-4 4.073803+2 9.320040-5 1.621810+3 2.329125-5 1.000000+5 3.771000-7 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.000000+1 0.0 0.0 0.0 6.784000-3 7.734200-4 1.000000+5 7.734200-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.784000-3 2.575600-4 1.000000+5 2.575600-4 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.000000+1 0.0 0.0 0.0 6.784000-3 5.753020-3 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.100000+1 0.0 0.0 0.0 5.392600-3 5.919713+4 5.445000-3 5.700908+4 5.480000-3 5.587567+4 5.821032-3 5.062230+4 6.165950-3 4.581260+4 6.918310-3 3.727286+4 7.673615-3 3.060108+4 8.609938-3 2.442116+4 9.332543-3 2.079385+4 1.109175-2 1.452268+4 1.202264-2 1.218341+4 1.412538-2 8.513426+3 1.566751-2 6.700949+3 1.778279-2 4.975332+3 2.041738-2 3.558209+3 2.264644-2 2.752684+3 2.600160-2 1.939681+3 3.000000-2 1.338096+3 3.427678-2 9.396191+2 3.935501-2 6.466418+2 4.518559-2 4.418991+2 5.188000-2 3.000381+2 6.025596-2 1.959224+2 7.161434-2 1.188951+2 8.709636-2 6.692449+1 1.059254-1 3.740302+1 2.018366-1 5.395128+0 2.483133-1 2.912722+0 2.917427-1 1.815486+0 3.388442-1 1.178821+0 3.890451-1 7.971623-1 4.415705-1 5.610292-1 5.000000-1 4.004705-1 5.623413-1 2.933702-1 6.237348-1 2.244628-1 6.918310-1 1.729025-1 7.673615-1 1.340715-1 8.709636-1 9.872009-2 9.332543-1 8.406235-2 9.885531-1 7.396254-2 1.059254+0 6.394263-2 1.148154+0 5.440410-2 1.250000+0 4.624523-2 1.380384+0 3.855517-2 1.757924+0 2.507483-2 1.995262+0 2.015255-2 2.290868+0 1.601200-2 2.630268+0 1.281283-2 3.019952+0 1.032420-2 3.507519+0 8.234119-3 4.073803+0 6.615517-3 4.786301+0 5.266295-3 5.688529+0 4.157276-3 6.760830+0 3.307117-3 8.128305+0 2.610772-3 9.772372+0 2.075704-3 1.202264+1 1.615773-3 1.479108+1 1.266664-3 1.862087+1 9.729100-4 2.400000+1 7.327400-4 3.090295+1 5.559478-4 4.365158+1 3.839526-4 6.606934+1 2.485319-4 1.109175+2 1.456052-4 2.065380+2 7.732751-5 4.120975+2 3.849647-5 1.640590+3 9.621170-6 1.000000+5 1.575800-7 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.100000+1 0.0 0.0 0.0 5.392600-3 6.588800-4 1.000000+5 6.588800-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 5.392600-3 9.105700-5 1.000000+5 9.105700-5 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.100000+1 0.0 0.0 0.0 5.392600-3 4.642663-3 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.300000+1 0.0 0.0 0.0 4.760800-3 1.242000+5 4.850000-3 1.232190+5 4.940000-3 1.213520+5 5.011872-3 1.193262+5 5.069907-3 1.163783+5 5.688529-3 8.571548+4 6.165950-3 6.864902+4 7.000000-3 4.798960+4 7.852356-3 3.449212+4 8.810489-3 2.459094+4 9.660509-3 1.865424+4 1.190000-2 9.812400+3 1.412538-2 5.697444+3 1.548817-2 4.235293+3 1.840772-2 2.405489+3 2.213095-2 1.298808+3 2.650000-2 7.026280+2 3.162278-2 3.807108+2 3.758374-2 2.074271+2 4.518559-2 1.076652+2 5.559043-2 5.107450+1 7.244360-2 1.951609+1 1.230269-1 2.825231+0 1.548817-1 1.225289+0 1.819701-1 6.877376-1 2.041738-1 4.577009-1 2.951209-1 1.277783-1 3.311311-1 8.674499-2 3.715352-1 5.930197-2 4.120975-1 4.238898-2 4.570882-1 3.050437-2 5.069907-1 2.210875-2 5.559043-1 1.671101-2 6.025596-1 1.315871-2 6.531306-1 1.044215-2 7.161434-1 8.075531-3 7.943282-1 6.097233-3 8.609938-1 4.883658-3 9.120108-1 4.193344-3 9.549926-1 3.733681-3 1.000000+0 3.345755-3 1.047129+0 3.018850-3 1.109175+0 2.674350-3 1.174898+0 2.385766-3 1.258925+0 2.095733-3 1.364583+0 1.814819-3 1.513561+0 1.517784-3 1.840772+0 1.073467-3 2.044000+0 8.972642-4 2.344229+0 7.151186-4 2.691535+0 5.729070-4 3.090295+0 4.621684-4 3.589219+0 3.690327-4 4.168694+0 2.968125-4 4.897788+0 2.365308-4 5.821032+0 1.869165-4 6.918310+0 1.488296-4 8.317638+0 1.175992-4 1.011579+1 9.227247-5 1.244515+1 7.192080-5 1.513561+1 5.719434-5 1.927525+1 4.338766-5 2.600160+1 3.110391-5 3.801894+1 2.062683-5 5.495409+1 1.396963-5 8.709636+1 8.657519-6 1.531087+2 4.858480-6 3.054921+2 2.413068-6 1.216186+3 6.021500-7 1.000000+5 7.307500-9 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.300000+1 0.0 0.0 0.0 4.760800-3 5.041500-4 1.000000+5 5.041500-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.760800-3 2.862300-4 1.000000+5 2.862300-4 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.300000+1 0.0 0.0 0.0 4.760800-3 3.970420-3 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.400000+1 0.0 0.0 0.0 4.492700-3 2.091139+5 4.600000-3 1.980866+5 4.780000-3 1.832699+5 4.786301-3 1.829941+5 5.370318-3 1.335600+5 5.888437-3 1.029632+5 6.683439-3 7.144375+4 7.500000-3 5.089878+4 8.413951-3 3.600399+4 9.332543-3 2.617343+4 1.148154-2 1.360019+4 1.303167-2 9.012668+3 1.450000-2 6.349080+3 1.698244-2 3.739105+3 1.927525-2 2.427813+3 2.187762-2 1.566872+3 2.540973-2 9.263028+2 2.951209-2 5.432485+2 3.500000-2 2.931642+2 4.120975-2 1.611106+2 4.897788-2 8.493864+1 6.025596-2 3.908948+1 7.943282-2 1.376307+1 1.135011-1 3.564551+0 1.428894-1 1.497425+0 1.659587-1 8.575229-1 1.927525-1 4.948331-1 2.113489-1 3.547006-1 2.454709-1 2.081396-1 2.818383-1 1.279751-1 3.126079-1 8.961724-2 3.467369-1 6.320835-2 3.845918-1 4.491693-2 4.216965-1 3.338039-2 4.623810-1 2.497513-2 5.069907-1 1.881748-2 5.559043-1 1.428127-2 6.025596-1 1.129268-2 6.531306-1 8.996702-3 7.161434-1 6.992459-3 8.709636-1 4.164834-3 9.225714-1 3.600890-3 9.660509-1 3.222848-3 1.011579+0 2.901560-3 1.071519+0 2.563860-3 1.135011+0 2.280351-3 1.216186+0 1.995531-3 1.318257+0 1.720895-3 1.840772+0 9.549647-4 2.065380+0 7.844832-4 2.371374+0 6.244254-4 2.722701+0 5.005451-4 3.126079+0 4.040338-4 3.630781+0 3.227963-4 4.216965+0 2.597649-4 4.954502+0 2.071191-4 5.888437+0 1.637537-4 7.000000+0 1.304200-4 8.511380+0 1.016477-4 1.035142+1 7.982324-5 1.273503+1 6.226935-5 1.566751+1 4.889167-5 2.041738+1 3.618244-5 2.754229+1 2.598776-5 4.027170+1 1.725713-5 5.956621+1 1.142324-5 9.772372+1 6.841611-6 1.717908+2 3.845623-6 3.427678+2 1.911820-6 1.364583+3 4.773718-7 1.000000+5 6.501500-9 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.400000+1 0.0 0.0 0.0 4.492700-3 5.030000-4 1.000000+5 5.030000-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.492700-3 4.703900-7 1.000000+5 4.703900-7 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.400000+1 0.0 0.0 0.0 4.492700-3 3.989230-3 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.600000+1 0.0 0.0 0.0 1.925800-3 1.862957+4 2.041738-3 1.738049+4 2.220000-3 1.590218+4 2.350000-3 1.500650+4 2.511886-3 1.388749+4 2.917427-3 1.162359+4 3.400000-3 9.610900+3 3.672823-3 8.668179+3 4.518559-3 6.496100+3 5.069907-3 5.483736+3 5.888437-3 4.374468+3 7.000000-3 3.331200+3 7.852356-3 2.764767+3 9.332543-3 2.072254+3 1.122018-2 1.508185+3 1.333521-2 1.109535+3 1.584893-2 8.093503+2 1.883649-2 5.855269+2 2.238721-2 4.202243+2 2.650000-2 3.016900+2 3.126079-2 2.165122+2 3.715352-2 1.519370+2 4.415704-2 1.058164+2 5.248075-2 7.315170+1 6.237348-2 5.020709+1 7.498942-2 3.335432+1 9.120108-2 2.142803+1 1.122019-1 1.330846+1 1.445440-1 7.372051+0 2.065380-1 3.177225+0 2.660725-1 1.752373+0 3.311311-1 1.055045+0 3.981072-1 6.932734-1 4.731513-1 4.710544-1 5.559043-1 3.307974-1 6.456542-1 2.400569-1 7.498942-1 1.754526-1 8.810489-1 1.261253-1 1.000000+0 9.797992-2 1.216186+0 6.691509-2 1.380384+0 5.265216-2 1.548817+0 4.261412-2 1.757924+0 3.402603-2 2.000000+0 2.725799-2 2.290868+0 2.174411-2 2.630268+0 1.739969-2 3.019952+0 1.402033-2 3.507519+0 1.118209-2 4.073803+0 8.984060-3 4.786301+0 7.151772-3 5.688529+0 5.645681-3 6.760830+0 4.491134-3 8.128305+0 3.545472-3 9.885531+0 2.779283-3 1.216186+1 2.164466-3 1.496236+1 1.697419-3 1.905461+1 1.287216-3 2.540973+1 9.342414-4 3.589219+1 6.424922-4 5.011872+1 4.506436-4 7.762471+1 2.855431-4 1.348963+2 1.618718-4 2.691535+2 8.030944-5 5.370318+2 4.005308-5 2.137962+3 1.002349-5 1.000000+5 2.140000-7 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.600000+1 0.0 0.0 0.0 1.925800-3 5.234400-4 1.000000+5 5.234400-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.925800-3 1.519600-6 1.000000+5 1.519600-6 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.600000+1 0.0 0.0 0.0 1.925800-3 1.400840-3 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.800000+1 0.0 0.0 0.0 1.739000-3 1.503139+4 2.030000-3 1.462203+4 2.130000-3 1.447728+4 2.290868-3 1.411623+4 2.483133-3 1.359783+4 2.660725-3 1.309634+4 2.818383-3 1.263110+4 3.090295-3 1.181284+4 3.273407-3 1.126484+4 3.548134-3 1.045308+4 3.935501-3 9.434240+3 4.216965-3 8.756839+3 4.623810-3 7.859026+3 5.150000-3 6.877500+3 5.623413-3 6.120038+3 6.382635-3 5.124450+3 7.000000-3 4.470040+3 7.943282-3 3.674061+3 8.810489-3 3.104542+3 9.885531-3 2.556980+3 1.120000-2 2.053280+3 1.244515-2 1.695193+3 1.412538-2 1.336328+3 1.603245-2 1.044948+3 1.819701-2 8.107993+2 2.065380-2 6.244954+2 2.344229-2 4.775700+2 2.691535-2 3.536180+2 3.054921-2 2.666235+2 3.500000-2 1.954940+2 4.073803-2 1.371490+2 4.731513-2 9.592575+1 5.559043-2 6.474580+1 6.606934-2 4.212562+1 7.852356-2 2.720297+1 9.549926-2 1.643847+1 1.216186-1 8.738881+0 2.264644-1 1.697698+0 2.818383-1 9.599879-1 3.388442-1 5.981466-1 3.981072-1 3.980649-1 4.570882-1 2.826652-1 5.188000-1 2.078980-1 5.888437-1 1.540304-1 6.683439-1 1.149799-1 7.498942-1 8.875623-2 8.413951-1 6.885237-2 9.225714-1 5.658431-2 1.000000+0 4.795622-2 1.135011+0 3.732367-2 1.273503+0 2.991479-2 1.445440+0 2.364623-2 1.659587+0 1.843358-2 1.883649+0 1.477521-2 2.137962+0 1.193016-2 2.454709+0 9.513462-3 2.851018+0 7.502528-3 3.273407+0 6.069716-3 3.801894+0 4.860396-3 4.466836+0 3.856291-3 5.248075+0 3.082614-3 6.237348+0 2.443598-3 7.498942+0 1.922666-3 9.120108+0 1.502280-3 1.122018+1 1.166525-3 1.412538+1 8.880591-4 1.800000+1 6.720500-4 2.290868+1 5.127774-4 2.917427+1 3.932856-4 4.168694+1 2.679825-4 6.237348+1 1.754037-4 1.023293+2 1.051237-4 1.819701+2 5.843839-5 3.630781+2 2.906577-5 1.445440+3 7.259544-6 1.000000+5 1.047400-7 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.800000+1 0.0 0.0 0.0 1.739000-3 4.889100-4 1.000000+5 4.889100-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.739000-3 1.049400-6 1.000000+5 1.049400-6 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.800000+1 0.0 0.0 0.0 1.739000-3 1.249041-3 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 1.900000+1 0.0 0.0 0.0 1.359600-3 1.304692+5 1.462177-3 1.208018+5 1.698244-3 1.015864+5 1.995262-3 8.278012+4 2.162719-3 7.434642+4 2.500000-3 6.048080+4 2.800000-3 5.091040+4 3.162278-3 4.213586+4 3.467369-3 3.625896+4 4.073803-3 2.761818+4 4.518559-3 2.301074+4 5.128614-3 1.830559+4 5.821032-3 1.443903+4 6.531306-3 1.157142+4 7.585776-3 8.596229+3 8.609938-3 6.629986+3 9.660509-3 5.204942+3 1.109175-2 3.863390+3 1.273503-2 2.843261+3 1.479108-2 2.020757+3 1.698244-2 1.461810+3 1.950000-2 1.048800+3 2.238721-2 7.467832+2 2.570396-2 5.275581+2 2.951209-2 3.698644+2 3.400000-2 2.551204+2 3.935501-2 1.724196+2 4.518559-2 1.182893+2 5.248075-2 7.804672+1 6.165950-2 4.949570+1 7.328245-2 3.014292+1 8.810489-2 1.762096+1 1.083927-1 9.557922+0 2.018366-1 1.495077+0 2.660725-1 6.661071-1 2.985383-1 4.736377-1 3.467369-1 3.083328-1 3.981072-1 2.089520-1 4.518559-1 1.473153-1 5.069907-1 1.079409-1 5.688529-1 7.968020-2 6.382635-1 5.926054-2 7.943282-1 3.430423-2 8.609938-1 2.826429-2 9.225714-1 2.410687-2 9.772372-1 2.123662-2 1.047129+0 1.837822-2 1.135011+0 1.563415-2 1.244515+0 1.309407-2 1.380384+0 1.081627-2 1.717908+0 7.316427-3 1.949845+0 5.873067-3 2.238721+0 4.660440-3 2.570396+0 3.724986-3 2.985383+0 2.945196-3 3.467369+0 2.347511-3 4.027170+0 1.884992-3 4.731513+0 1.499771-3 5.623413+0 1.183341-3 6.683439+0 9.408606-4 8.035261+0 7.424018-4 9.772372+0 5.817148-4 1.202264+1 4.528333-4 1.479108+1 3.549778-4 1.883649+1 2.691267-4 2.483133+1 1.977604-4 3.311311+1 1.446101-4 4.570882+1 1.024856-4 6.918310+1 6.639674-5 1.174898+2 3.847027-5 2.344229+2 1.906061-5 4.677351+2 9.497438-6 1.862087+3 2.375344-6 1.000000+5 4.416200-8 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 1.900000+1 0.0 0.0 0.0 1.359600-3 4.225500-4 1.000000+5 4.225500-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.359600-3 9.607500-7 1.000000+5 9.607500-7 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 1.900000+1 0.0 0.0 0.0 1.359600-3 9.360893-4 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.100000+1 0.0 0.0 0.0 1.061800-3 1.522633+5 1.076000-3 1.583226+5 1.124000-3 1.696335+5 1.173000-3 1.781630+5 1.210000-3 1.819967+5 1.216186-3 1.832133+5 1.244515-3 1.868081+5 1.273503-3 1.882737+5 1.303167-3 1.854796+5 1.333521-3 1.831820+5 1.412538-3 1.758842+5 1.479108-3 1.693025+5 1.584893-3 1.587103+5 1.698244-3 1.475055+5 1.800000-3 1.377960+5 1.927525-3 1.263473+5 2.070000-3 1.145660+5 2.238721-3 1.020275+5 2.400000-3 9.159040+4 2.570396-3 8.173723+4 2.818383-3 6.952304+4 3.070000-3 5.946040+4 3.311311-3 5.139565+4 3.672823-3 4.176157+4 4.000000-3 3.496724+4 4.415704-3 2.821612+4 4.841724-3 2.296340+4 5.370318-3 1.805287+4 5.888437-3 1.448640+4 6.531306-3 1.121904+4 7.244360-3 8.625490+3 8.035261-3 6.582395+3 8.912509-3 4.988181+3 1.000000-2 3.636352+3 1.122018-2 2.629316+3 1.244515-2 1.950773+3 1.380384-2 1.438678+3 1.548817-2 1.018532+3 1.757924-2 6.910039+2 1.995262-2 4.649966+2 2.238721-2 3.222524+2 2.511886-2 2.219951+2 2.851018-2 1.463941+2 3.311311-2 8.877554+1 3.801894-2 5.553129+1 4.466836-2 3.187177+1 5.308844-2 1.744189+1 6.456542-2 8.735705+0 8.128305-2 3.840782+0 1.462177-1 4.671228-1 1.757924-1 2.433149-1 2.213095-1 1.087169-1 2.570396-1 6.483732-2 2.951209-1 4.053504-2 3.311311-1 2.758859-2 3.715352-1 1.891121-2 4.168694-1 1.306039-2 4.677351-1 9.091548-3 5.188000-1 6.611067-3 5.688529-1 5.015026-3 6.165950-1 3.963035-3 6.760830-1 3.052397-3 7.413102-1 2.367252-3 8.035261-1 1.904178-3 8.609938-1 1.575101-3 9.120108-1 1.353423-3 9.549926-1 1.205695-3 1.000000+0 1.080907-3 1.047129+0 9.756263-4 1.109175+0 8.645250-4 1.174898+0 7.713250-4 1.258925+0 6.775278-4 1.364583+0 5.865417-4 1.531087+0 4.803693-4 1.840772+0 3.467871-4 2.065380+0 2.848491-4 2.371374+0 2.267347-4 2.722701+0 1.817525-4 3.126079+0 1.467088-4 3.630781+0 1.172126-4 4.216965+0 9.432423-5 4.954502+0 7.520579-5 5.888437+0 5.946089-5 7.000000+0 4.735600-5 8.511380+0 3.690877-5 1.035142+1 2.898442-5 1.273503+1 2.261020-5 1.566751+1 1.775329-5 2.041738+1 1.313835-5 2.754229+1 9.436211-6 4.027170+1 6.266164-6 6.000000+1 4.116700-6 9.772372+1 2.484291-6 1.737801+2 1.380155-6 3.467369+2 6.862076-7 1.380384+3 1.713551-7 1.000000+5 2.360800-9 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.100000+1 0.0 0.0 0.0 1.061800-3 3.396200-4 1.000000+5 3.396200-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.061800-3 6.818900-7 1.000000+5 6.818900-7 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.100000+1 0.0 0.0 0.0 1.061800-3 7.214981-4 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.200000+1 0.0 0.0 0.0 9.943600-4 5.582244+4 9.949000-4 6.198060+4 9.963000-4 7.625880+4 9.974000-4 8.914740+4 9.981000-4 9.801900+4 9.988000-4 1.073124+5 9.996000-4 1.184040+5 1.000500-3 1.313580+5 1.001200-3 1.416648+5 1.002000-3 1.535706+5 1.002700-3 1.639842+5 1.003500-3 1.757844+5 1.004300-3 1.873380+5 1.005200-3 1.999140+5 1.006000-3 2.106144+5 1.007000-3 2.232228+5 1.008000-3 2.348874+5 1.009000-3 2.455422+5 1.010000-3 2.551734+5 1.011000-3 2.638020+5 1.012400-3 2.743044+5 1.013500-3 2.813700+5 1.015000-3 2.895432+5 1.016500-3 2.963052+5 1.018000-3 3.019314+5 1.020200-3 3.086250+5 1.023293-3 3.158834+5 1.028000-3 3.241596+5 1.033000-3 3.309018+5 1.040000-3 3.377544+5 1.045000-3 3.408744+5 1.050000-3 3.426582+5 1.059254-3 3.433297+5 1.110000-3 3.389598+5 1.148154-3 3.329441+5 1.202264-3 3.238665+5 1.273503-3 3.101458+5 1.350000-3 2.947746+5 1.445440-3 2.755360+5 1.548817-3 2.552822+5 1.659587-3 2.347083+5 1.770000-3 2.155938+5 1.905461-3 1.942918+5 2.041738-3 1.747887+5 2.220000-3 1.529436+5 2.371374-3 1.367695+5 2.570396-3 1.183214+5 2.818383-3 9.965513+4 3.019952-3 8.711409+4 3.349654-3 7.054348+4 3.650000-3 5.885760+4 4.027170-3 4.742489+4 4.415704-3 3.849573+4 4.897788-3 3.017703+4 5.370318-3 2.415293+4 6.000000-3 1.830816+4 6.531306-3 1.472571+4 7.328245-3 1.086929+4 8.128305-3 8.203832+3 9.000000-3 6.181860+3 1.011579-2 4.431235+3 1.150000-2 3.044940+3 1.303167-2 2.092092+3 1.479108-2 1.417436+3 1.678804-2 9.517918+2 1.905461-2 6.337332+2 2.162719-2 4.184772+2 2.454709-2 2.742173+2 2.786121-2 1.784012+2 3.198895-2 1.107324+2 3.672823-2 6.822709+1 4.265795-2 4.006122+1 5.011872-2 2.239808+1 6.025596-2 1.142809+1 7.498942-2 5.094822+0 1.396368-1 5.049254-1 1.640590-1 2.789409-1 1.862087-1 1.759865-1 2.213095-1 9.481124-2 2.540973-1 5.823159-2 2.884032-1 3.753392-2 3.235937-1 2.535898-2 3.589219-1 1.794111-2 3.981072-1 1.278862-2 4.365158-1 9.535676-3 4.786301-1 7.159972-3 5.248075-1 5.415425-3 5.754399-1 4.127034-3 6.237348-1 3.275030-3 6.804800-1 2.569370-3 7.413102-1 2.042755-3 8.128305-1 1.607930-3 9.440609-1 1.099448-3 9.885531-1 9.841275-4 1.035142+0 8.870010-4 1.096478+0 7.848918-4 1.161449+0 6.994288-4 1.244515+0 6.136614-4 1.348963+0 5.307017-4 1.531087+0 4.258582-4 1.840772+0 3.074340-4 2.065380+0 2.525312-4 2.371374+0 2.010082-4 2.722701+0 1.611232-4 3.126079+0 1.300534-4 3.630781+0 1.039074-4 4.216965+0 8.361855-5 4.954502+0 6.667066-5 5.888437+0 5.271287-5 7.000000+0 4.198100-5 8.413951+0 3.319658-5 1.023293+1 2.605788-5 1.258925+1 2.031904-5 1.548817+1 1.594914-5 2.018366+1 1.179841-5 2.722701+1 8.470974-6 4.000000+1 5.595200-6 5.956621+1 3.677263-6 9.772372+1 2.202305-6 1.717908+2 1.237917-6 3.427678+2 6.154267-7 1.364583+3 1.536647-7 1.000000+5 2.092800-9 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.200000+1 0.0 0.0 0.0 9.943600-4 3.203500-4 1.000000+5 3.203500-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 9.943600-4 1.089200-7 1.000000+5 1.089200-7 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.200000+1 0.0 0.0 0.0 9.943600-4 6.739011-4 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.400000+1 0.0 0.0 0.0 6.005200-4 6.563220+4 6.006000-4 6.467220+4 6.010000-4 6.186060+4 6.014000-4 5.955222+4 6.018000-4 5.759364+4 6.023000-4 5.557662+4 6.027000-4 5.423130+4 6.032000-4 5.281176+4 6.040000-4 5.098536+4 6.047000-4 4.976028+4 6.055000-4 4.865790+4 6.065000-4 4.760004+4 6.075000-4 4.680678+4 6.090000-4 4.597440+4 6.110000-4 4.528716+4 6.135000-4 4.480158+4 6.165950-4 4.453905+4 6.190000-4 4.453980+4 6.220000-4 4.483770+4 6.240000-4 4.527408+4 6.260000-4 4.595604+4 6.278000-4 4.682034+4 6.292000-4 4.768398+4 6.309573-4 4.904227+4 6.330000-4 5.105304+4 6.345000-4 5.286198+4 6.365000-4 5.576754+4 6.385000-4 5.930232+4 6.400000-4 6.241500+4 6.415000-4 6.596580+4 6.435000-4 7.143240+4 6.458000-4 7.887720+4 6.480000-4 8.728320+4 6.500000-4 9.612420+4 6.531306-4 1.124909+5 6.633000-4 1.903567+5 6.670000-4 2.289954+5 6.700000-4 2.644794+5 6.730000-4 3.036324+5 6.760830-4 3.475897+5 6.790000-4 3.924720+5 6.820000-4 4.417686+5 6.850000-4 4.939668+5 6.880000-4 5.487210+5 6.910000-4 6.056160+5 6.940000-4 6.641400+5 6.970000-4 7.237260+5 7.000000-4 7.837380+5 7.030000-4 8.435160+5 7.060000-4 9.024060+5 7.090000-4 9.597300+5 7.120000-4 1.015062+6 7.150000-4 1.067880+6 7.190000-4 1.133766+6 7.220000-4 1.179534+6 7.260000-4 1.235454+6 7.300000-4 1.285566+6 7.350000-4 1.340304+6 7.400000-4 1.386858+6 7.450000-4 1.425912+6 7.500000-4 1.458180+6 7.560000-4 1.488828+6 7.620000-4 1.511682+6 7.690000-4 1.529754+6 7.770000-4 1.541208+6 7.852356-4 1.544461+6 7.950000-4 1.540218+6 8.100000-4 1.523436+6 8.280000-4 1.493244+6 8.511380-4 1.445677+6 8.850000-4 1.367940+6 9.225714-4 1.280828+6 9.700000-4 1.175274+6 1.030000-3 1.052220+6 1.096478-3 9.303500+5 1.170000-3 8.125860+5 1.244515-3 7.095310+5 1.333521-3 6.053210+5 1.420000-3 5.206746+5 1.531087-3 4.310089+5 1.675900-3 3.412256+5 1.800000-3 2.815680+5 1.972423-3 2.184141+5 2.150000-3 1.708986+5 2.350000-3 1.316040+5 2.600160-3 9.712648+4 2.851018-3 7.310416+4 3.162278-3 5.274321+4 3.507519-3 3.774500+4 3.900000-3 2.660208+4 4.315191-3 1.891433+4 4.800000-3 1.311582+4 5.370318-3 8.844664+3 6.000000-3 5.947506+3 6.606934-3 4.188318+3 7.413102-3 2.735247+3 8.413951-3 1.696868+3 9.549926-3 1.043381+3 1.083927-2 6.360524+2 1.216186-2 4.027003+2 1.364583-2 2.533046+2 1.531087-2 1.583656+2 1.737801-2 9.383571+1 1.972423-2 5.524058+1 2.290868-2 2.929834+1 2.660725-2 1.542073+1 3.126079-2 7.667155+0 3.758374-2 3.421699+0 4.623810-2 1.369026+0 1.023293-1 3.989154-2 1.202264-1 1.959712-2 1.364583-1 1.127887-2 1.566751-1 6.231210-3 1.798871-1 3.467961-3 2.113489-1 1.765278-3 2.398833-1 1.045918-3 2.691535-1 6.544254-4 3.019952-1 4.125389-4 3.349654-1 2.743119-4 3.715352-1 1.836982-4 4.216965-1 1.135408-4 4.570882-1 8.406588-5 4.954502-1 6.265868-5 5.308844-1 4.900804-5 5.688529-1 3.860902-5 6.918310-1 2.002592-5 7.413102-1 1.597509-5 7.852356-1 1.330901-5 8.317638-1 1.116327-5 8.709636-1 9.755564-6 9.120108-1 8.576835-6 9.549926-1 7.591711-6 1.000000+0 6.770407-6 1.047129+0 6.086729-6 1.096478+0 5.511910-6 1.148154+0 5.022130-6 1.216186+0 4.501826-6 1.318257+0 3.893046-6 1.513561+0 3.071369-6 1.840772+0 2.172385-6 2.044000+0 1.815627-6 2.344229+0 1.447106-6 2.691535+0 1.159306-6 3.090295+0 9.351920-7 3.589219+0 7.467348-7 4.168694+0 6.005987-7 4.897788+0 4.786185-7 5.821032+0 3.782170-7 6.918310+0 3.011613-7 8.317638+0 2.379691-7 1.011579+1 1.867146-7 1.244515+1 1.455304-7 1.513561+1 1.157359-7 1.927525+1 8.779469-8 2.600160+1 6.293877-8 3.801894+1 4.173724-8 5.495409+1 2.826706-8 8.709636+1 1.751820-8 1.531087+2 9.830778-9 3.054921+2 4.882787-9 1.216186+3 1.218433-9 1.000000+5 1.47870-11 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.400000+1 0.0 0.0 0.0 6.005200-4 1.914700-4 1.000000+5 1.914700-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 6.005200-4 5.386700-8 1.000000+5 5.386700-8 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.400000+1 0.0 0.0 0.0 6.005200-4 4.089961-4 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.500000+1 0.0 0.0 0.0 5.816200-4 1.036472+5 5.817000-4 1.017752+5 5.819500-4 9.754560+4 5.822500-4 9.320960+4 5.825500-4 8.952640+4 5.829000-4 8.584880+4 5.834000-4 8.158960+4 5.838500-4 7.844176+4 5.843000-4 7.584600+4 5.847000-4 7.388200+4 5.852000-4 7.178464+4 5.858000-4 6.970064+4 5.864000-4 6.799664+4 5.871000-4 6.638080+4 5.879000-4 6.489864+4 5.890000-4 6.333712+4 5.900000-4 6.227104+4 5.910000-4 6.145336+4 5.925000-4 6.056856+4 5.945000-4 5.982504+4 5.970000-4 5.934976+4 6.000000-4 5.926664+4 6.025596-4 5.960283+4 6.050000-4 6.034192+4 6.065000-4 6.104416+4 6.085000-4 6.233224+4 6.100000-4 6.360360+4 6.115000-4 6.517216+4 6.135000-4 6.778688+4 6.150000-4 7.018744+4 6.165950-4 7.320266+4 6.185000-4 7.749584+4 6.200000-4 8.146320+4 6.220000-4 8.764480+4 6.240000-4 9.495280+4 6.260000-4 1.035168+5 6.280000-4 1.134664+5 6.300000-4 1.249336+5 6.328000-4 1.437976+5 6.370000-4 1.789128+5 6.445000-4 2.646152+5 6.485400-4 3.238676+5 6.515000-4 3.731632+5 6.540000-4 4.186160+5 6.565000-4 4.674600+5 6.590000-4 5.195648+5 6.615000-4 5.747872+5 6.640000-4 6.328872+5 6.670000-4 7.060960+5 6.700000-4 7.826120+5 6.730000-4 8.618320+5 6.760830-4 9.452964+5 6.790000-4 1.025392+6 6.820000-4 1.108040+6 6.850000-4 1.190072+6 6.880000-4 1.270600+6 6.910000-4 1.348800+6 6.940000-4 1.423944+6 6.970000-4 1.495520+6 7.000000-4 1.562960+6 7.040000-4 1.646120+6 7.080000-4 1.721256+6 7.120000-4 1.788416+6 7.170000-4 1.861640+6 7.220000-4 1.923728+6 7.280000-4 1.984880+6 7.328245-4 2.024485+6 7.400000-4 2.069488+6 7.480000-4 2.102720+6 7.540000-4 2.117648+6 7.620000-4 2.126736+6 7.730000-4 2.123856+6 7.852356-4 2.106764+6 8.035261-4 2.065939+6 8.225300-4 2.012619+6 8.500000-4 1.924344+6 8.850000-4 1.807856+6 9.332543-4 1.651363+6 9.850000-4 1.495776+6 1.050000-3 1.320184+6 1.110000-3 1.177104+6 1.174898-3 1.040901+6 1.258925-3 8.897804+5 1.350000-3 7.544488+5 1.428894-3 6.556897+5 1.570000-3 5.149560+5 1.698244-3 4.182757+5 1.840772-3 3.350216+5 2.018366-3 2.581919+5 2.187762-3 2.042231+5 2.426610-3 1.498698+5 2.660725-3 1.130216+5 2.951209-3 8.166166+4 3.273407-3 5.854094+4 3.630781-3 4.164957+4 4.027170-3 2.941505+4 4.466836-3 2.061894+4 4.954502-3 1.435372+4 5.559043-3 9.521202+3 6.309573-3 6.004282+3 7.161434-3 3.749916+3 8.128305-3 2.320332+3 9.225714-3 1.422730+3 1.047129-2 8.647549+2 1.190000-2 5.184112+2 1.333521-2 3.264163+2 1.500000-2 2.010712+2 1.680000-2 1.253480+2 1.905461-2 7.366597+1 2.187762-2 4.079566+1 2.540973-2 2.133805+1 2.951209-2 1.107742+1 3.467369-2 5.426951+0 4.168694-2 2.381967+0 5.248075-2 8.433753-1 9.015711-2 7.259588-2 1.364583-1 1.139332-2 1.531088-1 6.851132-3 1.757924-1 3.769238-3 2.000000-1 2.170815-3 2.238721-1 1.349105-3 2.511886-1 8.362377-4 2.851018-1 4.985922-4 3.090295-1 3.609237-4 3.349654-1 2.629886-4 3.589219-1 2.018728-4 3.890451-1 1.493632-4 4.229500-1 1.101366-4 4.570882-1 8.357168-5 4.954502-1 6.316428-5 5.370318-1 4.804519-5 5.888437-1 3.532897-5 6.382635-1 2.718890-5 6.839117-1 2.186874-5 7.244360-1 1.834693-5 7.762471-1 1.496488-5 8.317638-1 1.229950-5 8.912509-1 1.016416-5 9.332543-1 8.998578-6 9.772372-1 8.014209-6 1.023293+0 7.187533-6 1.071519+0 6.492438-6 1.122018+0 5.901066-6 1.188502+0 5.274773-6 1.288250+0 4.549562-6 1.412538+0 3.871754-6 1.513561+0 3.439810-6 1.840772+0 2.433048-6 2.044000+0 2.033478-6 2.344229+0 1.620618-6 2.691535+0 1.298372-6 3.090295+0 1.047445-6 3.589219+0 8.363575-7 4.168694+0 6.726760-7 4.897788+0 5.360559-7 5.821032+0 4.236075-7 6.918310+0 3.373075-7 8.317638+0 2.665308-7 1.011579+1 2.091173-7 1.244515+1 1.629988-7 1.513561+1 1.296215-7 1.927525+1 9.832966-8 2.600160+1 7.049226-8 3.801894+1 4.674600-8 5.495409+1 3.165960-8 8.709636+1 1.962055-8 1.531087+2 1.101088-8 3.054921+2 5.468769-9 1.216186+3 1.364668-9 1.000000+5 1.65610-11 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.500000+1 0.0 0.0 0.0 5.816200-4 1.837200-4 1.000000+5 1.837200-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 5.816200-4 1.337000-7 1.000000+5 1.337000-7 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.500000+1 0.0 0.0 0.0 5.816200-4 3.977663-4 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.700000+1 0.0 0.0 0.0 4.461100-4 4.171995+4 6.500000-4 2.870640+4 8.317638-4 2.218559+4 9.225714-4 1.976553+4 1.071519-3 1.662533+4 1.190000-3 1.462390+4 1.380384-3 1.210251+4 1.570000-3 1.019216+4 1.819701-3 8.313902+3 2.162719-3 6.487403+3 2.600160-3 4.935445+3 3.126079-3 3.724234+3 3.845918-3 2.691280+3 4.731513-3 1.928332+3 5.754399-3 1.396963+3 7.000000-3 1.003612+3 8.413951-3 7.301017+2 1.011579-2 5.269937+2 1.216186-2 3.775363+2 1.462177-2 2.684814+2 1.757924-2 1.894813+2 2.113489-2 1.327048+2 2.540973-2 9.221971+1 3.054921-2 6.358300+1 3.672823-2 4.349096+1 4.365158-2 3.024019+1 5.248075-2 2.036616+1 6.309573-2 1.361068+1 7.673615-2 8.798379+0 9.332543-2 5.642701+0 1.161449-1 3.407219+0 1.531088-1 1.785417+0 2.691535-1 4.738832-1 3.349654-1 2.851680-1 4.027170-1 1.872446-1 4.786301-1 1.273024-1 5.623413-1 8.945876-2 6.531306-1 6.494173-2 7.585776-1 4.748753-2 8.912509-1 3.415504-2 1.011579+0 2.654932-2 1.230269+0 1.813995-2 1.396368+0 1.428377-2 1.566751+0 1.156826-2 1.778279+0 9.242827-3 2.018366+0 7.438991-3 2.317395+0 5.914256-3 2.660725+0 4.735413-3 3.054921+0 3.817903-3 3.548134+0 3.046733-3 4.120975+0 2.449134-3 4.841724+0 1.950671-3 5.754399+0 1.540719-3 6.839116+0 1.226178-3 8.222427+0 9.684318-4 1.000000+1 7.595300-4 1.230269+1 5.917644-4 1.500000+1 4.690800-4 1.905461+1 3.567662-4 2.540973+1 2.589307-4 3.589219+1 1.780772-4 5.011872+1 1.248979-4 7.762471+1 7.914197-5 1.348963+2 4.486410-5 2.691535+2 2.225826-5 5.370318+2 1.110129-5 2.137962+3 2.777995-6 1.000000+5 5.931100-8 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.700000+1 0.0 0.0 0.0 4.461100-4 2.257400-4 1.000000+5 2.257400-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.461100-4 1.577900-8 1.000000+5 1.577900-8 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.700000+1 0.0 0.0 0.0 4.461100-4 2.203542-4 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 2.900000+1 0.0 0.0 0.0 3.680600-4 1.492222+5 3.683500-4 1.473844+5 3.689000-4 1.417818+5 3.694000-4 1.376574+5 3.699000-4 1.341572+5 3.707000-4 1.296240+5 3.715352-4 1.258748+5 3.725000-4 1.224180+5 3.736000-4 1.192612+5 3.748000-4 1.165212+5 3.762000-4 1.139442+5 3.785000-4 1.105960+5 3.815000-4 1.071494+5 3.981072-4 9.226210+4 4.120975-4 8.138857+4 4.430000-4 6.354420+4 4.550300-4 5.837509+4 4.850000-4 4.807300+4 5.150000-4 4.028480+4 5.400000-4 3.528280+4 5.623413-4 3.173453+4 5.850000-4 2.882960+4 6.100000-4 2.623320+4 6.382635-4 2.385813+4 6.700000-4 2.170800+4 7.000000-4 2.005960+4 7.328245-4 1.859484+4 7.673615-4 1.735234+4 8.035261-4 1.629509+4 8.511380-4 1.516815+4 9.120108-4 1.402264+4 9.885531-4 1.289972+4 1.096478-3 1.169482+4 1.513561-3 8.741828+3 1.737801-3 7.662631+3 1.972423-3 6.743781+3 2.238721-3 5.892216+3 2.540973-3 5.107704+3 2.900000-3 4.365140+3 3.300000-3 3.714380+3 3.758374-3 3.132608+3 4.265795-3 2.634433+3 4.841724-3 2.199210+3 5.495409-3 1.822321+3 6.165950-3 1.526126+3 7.000000-3 1.246008+3 7.852356-3 1.030233+3 8.912509-3 8.294884+2 1.011579-2 6.629669+2 1.148154-2 5.260428+2 1.303167-2 4.144800+2 1.479108-2 3.243329+2 1.678804-2 2.520222+2 1.927525-2 1.899185+2 2.213095-2 1.419893+2 2.540973-2 1.053419+2 2.917427-2 7.757234+1 3.349654-2 5.670928+1 3.890451-2 4.007361+1 4.518559-2 2.809659+1 5.308844-2 1.901541+1 6.237348-2 1.277138+1 7.413102-2 8.272284+0 9.015711-2 5.015535+0 1.122019-1 2.843215+0 2.511886-1 3.429576-1 3.054921-1 2.065081-1 3.630781-1 1.329197-1 4.216965-1 9.136173-2 4.841724-1 6.508232-2 5.495409-1 4.801316-2 6.165950-1 3.664700-2 6.998420-1 2.743957-2 7.852356-1 2.124263-2 8.810489-1 1.653192-2 9.660509-1 1.362615-2 1.071519+0 1.106689-2 1.216186+0 8.646792-3 1.364583+0 6.961738-3 1.566751+0 5.411474-3 1.778279+0 4.323823-3 2.018366+0 3.479273-3 2.317395+0 2.766029-3 2.660725+0 2.214709-3 3.054921+0 1.785639-3 3.548134+0 1.424978-3 4.120975+0 1.145484-3 4.841724+0 9.123433-4 5.754399+0 7.205914-4 6.839116+0 5.735079-4 8.222427+0 4.529558-4 1.000000+1 3.552400-4 1.230269+1 2.767676-4 1.513561+1 2.171141-4 1.949845+1 1.625736-4 2.660725+1 1.151342-4 3.890451+1 7.639536-5 5.688529+1 5.114541-5 9.120108+1 3.134114-5 1.603245+2 1.759985-5 3.198895+2 8.744901-6 1.273503+3 2.182692-6 1.000000+5 2.774000-8 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 2.900000+1 0.0 0.0 0.0 3.680600-4 2.054900-4 1.000000+5 2.054900-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.680600-4 3.188400-8 1.000000+5 3.188400-8 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 2.900000+1 0.0 0.0 0.0 3.680600-4 1.625381-4 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.000000+1 0.0 0.0 0.0 2.691700-4 3.232900+5 2.830000-4 2.970405+5 2.951209-4 2.780749+5 3.260000-4 2.416092+5 3.801894-4 2.013961+5 4.100000-4 1.856512+5 5.370318-4 1.406982+5 6.200000-4 1.207544+5 7.079458-4 1.041365+5 8.035261-4 8.973308+4 9.120108-4 7.676393+4 1.035142-3 6.517894+4 1.174898-3 5.494058+4 1.333521-3 4.598902+4 1.531087-3 3.759299+4 1.757924-3 3.049785+4 2.018366-3 2.456668+4 2.317395-3 1.965801+4 2.691535-3 1.532720+4 3.126079-3 1.186386+4 3.630781-3 9.116672+3 4.216965-3 6.953801+3 4.841724-3 5.379190+3 5.559043-3 4.133267+3 6.456542-3 3.081777+3 7.328245-3 2.387591+3 8.317638-3 1.838163+3 9.549926-3 1.372109+3 1.096478-2 1.016407+3 1.258925-2 7.471265+2 1.445440-2 5.449849+2 1.659587-2 3.945172+2 1.905461-2 2.834855+2 2.187762-2 2.021363+2 2.511886-2 1.430145+2 2.884032-2 1.004388+2 3.311311-2 7.003174+1 3.845918-2 4.701463+1 4.466836-2 3.131076+1 5.188000-2 2.069729+1 6.095369-2 1.315137+1 7.244360-2 8.022563+0 8.709636-2 4.698896+0 1.047129-1 2.733488+0 2.065380-1 3.609950-1 2.540973-1 1.958032-1 3.000000-1 1.207608-1 3.467369-1 7.977685-2 3.981072-1 5.410145-2 4.518559-1 3.817430-2 5.128614-1 2.714364-2 5.754399-1 2.005385-2 6.382635-1 1.537409-2 7.079458-1 1.186488-2 7.852356-1 9.216732-3 8.709636-1 7.175970-3 9.332543-1 6.110930-3 9.885531-1 5.376923-3 1.059254+0 4.648609-3 1.148154+0 3.955183-3 1.250000+0 3.362002-3 1.380384+0 2.802925-3 1.757924+0 1.822671-3 1.995262+0 1.464964-3 2.290868+0 1.164157-3 2.630268+0 9.315472-4 3.019952+0 7.505486-4 3.507519+0 5.986062-4 4.073803+0 4.809346-4 4.786301+0 3.828429-4 5.688529+0 3.022231-4 6.760830+0 2.404137-4 8.128305+0 1.897896-4 9.885531+0 1.487815-4 1.202264+1 1.174662-4 1.479108+1 9.207977-5 1.883649+1 6.981024-5 2.483133+1 5.129832-5 3.388442+1 3.659032-5 4.677351+1 2.594548-5 7.079458+1 1.681639-5 1.216186+2 9.632679-6 2.426610+2 4.774309-6 4.841724+2 2.379458-6 1.927525+3 5.952097-7 1.000000+5 1.145500-8 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.000000+1 0.0 0.0 0.0 2.691700-4 1.504700-4 1.000000+5 1.504700-4 1 100000 7 7 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.691700-4 4.421700-9 1.000000+5 4.421700-9 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.000000+1 0.0 0.0 0.0 2.691700-4 1.186956-4 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.200000+1 0.0 0.0 0.0 1.538900-4 5.019002+5 1.541000-4 5.104640+5 1.547000-4 5.309320+5 1.555000-4 5.632720+5 1.566751-4 6.194405+5 1.589000-4 7.441960+5 1.600000-4 8.098800+5 1.610000-4 8.693440+5 1.620000-4 9.268920+5 1.630000-4 9.808880+5 1.640000-4 1.030060+6 1.648000-4 1.065276+6 1.655000-4 1.092636+6 1.663000-4 1.119812+6 1.670000-4 1.139960+6 1.680000-4 1.162892+6 1.690000-4 1.179128+6 1.700000-4 1.189324+6 1.714000-4 1.194240+6 1.725000-4 1.191660+6 1.740000-4 1.180856+6 1.757924-4 1.159419+6 1.778279-4 1.127455+6 1.800000-4 1.088060+6 1.820000-4 1.049388+6 1.850000-4 9.900040+5 1.900000-4 8.930720+5 1.950000-4 8.022400+5 2.000000-4 7.185920+5 2.065380-4 6.202512+5 2.153300-4 5.081758+5 2.317395-4 3.555443+5 2.400000-4 3.011000+5 2.483133-4 2.574075+5 2.580000-4 2.173468+5 2.660725-4 1.908971+5 2.730000-4 1.722148+5 2.800000-4 1.564580+5 2.880000-4 1.416572+5 2.951209-4 1.308890+5 3.019952-4 1.222902+5 3.090295-4 1.150312+5 3.162278-4 1.089594+5 3.240000-4 1.036880+5 3.320000-4 9.941080+4 3.404700-4 9.591373+4 3.500000-4 9.298960+4 3.600000-4 9.081600+4 3.715352-4 8.916619+4 3.850000-4 8.807960+4 4.000000-4 8.760200+4 4.200000-4 8.771880+4 5.011872-4 9.039260+4 5.400000-4 9.100600+4 5.800000-4 9.091320+4 6.165950-4 9.020632+4 6.531306-4 8.899421+4 7.000000-4 8.689720+4 7.500000-4 8.418840+4 8.035261-4 8.092634+4 8.609938-4 7.722367+4 9.225714-4 7.319014+4 9.885531-4 6.889899+4 1.071519-3 6.372113+4 1.161449-3 5.846496+4 1.258925-3 5.324724+4 1.369000-3 4.795534+4 1.500000-3 4.243560+4 1.621810-3 3.798180+4 1.778279-3 3.309274+4 1.950000-3 2.860924+4 2.137962-3 2.457181+4 2.350000-3 2.087112+4 2.630268-3 1.702753+4 2.917427-3 1.400463+4 3.235937-3 1.143068+4 3.589219-3 9.259637+3 4.000000-3 7.370480+3 4.466836-3 5.793391+3 5.000000-3 4.490880+3 5.559043-3 3.506966+3 6.165950-3 2.733594+3 6.839116-3 2.115674+3 7.585776-3 1.625702+3 8.413951-3 1.240818+3 9.332543-3 9.408025+2 1.035142-2 7.086785+2 1.161449-2 5.134173+2 1.303167-2 3.691336+2 1.462177-2 2.634479+2 1.640590-2 1.866890+2 1.840772-2 1.313858+2 2.089296-2 8.858846+1 2.371374-2 5.925598+1 2.691535-2 3.934771+1 3.090295-2 2.498053+1 3.548134-2 1.574282+1 4.120975-2 9.473898+0 4.841724-2 5.438638+0 5.754399-2 2.977750+0 6.918310-2 1.554005+0 9.120108-2 5.803068-1 1.396368-1 1.265853-1 1.737801-1 5.831998-2 2.089296-1 3.058155-2 2.426610-1 1.821293-2 2.786121-1 1.136466-2 3.162278-1 7.426600-3 3.548134-1 5.077946-3 3.981072-1 3.496741-3 4.415705-1 2.516263-3 4.897788-1 1.823252-3 5.432503-1 1.330670-3 5.956621-1 1.012896-3 6.456542-1 8.037668-4 7.079458-1 6.215926-4 8.035261-1 4.411681-4 8.609938-1 3.650553-4 9.120108-1 3.137490-4 9.549926-1 2.795371-4 1.000000+0 2.506200-4 1.047129+0 2.262111-4 1.109175+0 2.004547-4 1.174898+0 1.788488-4 1.258925+0 1.571022-4 1.364583+0 1.359998-4 1.531087+0 1.113759-4 1.840772+0 8.040660-5 2.065380+0 6.604666-5 2.371374+0 5.257169-5 2.722701+0 4.214116-5 3.126079+0 3.401545-5 3.630781+0 2.717661-5 4.216965+0 2.187024-5 4.954502+0 1.743784-5 5.888437+0 1.378632-5 7.000000+0 1.098000-5 8.413951+0 8.682411-6 1.023293+1 6.815317-6 1.258925+1 5.314386-6 1.548817+1 4.171434-6 2.000000+1 3.117600-6 2.722701+1 2.215543-6 4.000000+1 1.463400-6 5.956621+1 9.617824-7 9.660509+1 5.828693-7 1.698244+2 3.275708-7 3.388442+2 1.628406-7 1.348963+3 4.065703-8 1.000000+5 5.47370-10 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.200000+1 0.0 0.0 0.0 1.538900-4 1.538900-4 1.000000+5 1.538900-4 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.200000+1 0.0 0.0 0.0 1.538900-4 0.0 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.300000+1 0.0 0.0 0.0 1.392900-4 7.510631+5 1.396368-4 7.856307+5 1.402000-4 8.388540+5 1.413000-4 9.471780+5 1.420000-4 1.019172+6 1.428894-4 1.112129+6 1.439000-4 1.218294+6 1.447000-4 1.301148+6 1.454000-4 1.371762+6 1.462177-4 1.451016+6 1.472000-4 1.540194+6 1.482000-4 1.622520+6 1.490000-4 1.681284+6 1.500000-4 1.744878+6 1.510000-4 1.796946+6 1.520000-4 1.837290+6 1.531087-4 1.868612+6 1.540000-4 1.884138+6 1.550000-4 1.892148+6 1.560000-4 1.891242+6 1.570000-4 1.882608+6 1.585000-4 1.857684+6 1.600000-4 1.821672+6 1.620200-4 1.761278+6 1.643000-4 1.683630+6 1.670000-4 1.586604+6 1.705000-4 1.461456+6 1.760000-4 1.278024+6 1.820000-4 1.101234+6 1.883649-4 9.391418+5 1.972423-4 7.524288+5 2.120000-4 5.288352+5 2.190000-4 4.531530+5 2.267700-4 3.864678+5 2.330000-4 3.435642+5 2.400000-4 3.043128+5 2.454709-4 2.790376+5 2.520000-4 2.539584+5 2.580000-4 2.349708+5 2.635000-4 2.204148+5 2.691535-4 2.078537+5 2.754229-4 1.963302+5 2.818383-4 1.867392+5 2.884032-4 1.788488+5 2.951209-4 1.724515+5 3.019952-4 1.673617+5 3.100000-4 1.629498+5 3.180000-4 1.598490+5 3.280000-4 1.573866+5 3.390000-4 1.560060+5 3.507519-4 1.555788+5 3.672823-4 1.560850+5 4.415704-4 1.619030+5 4.731513-4 1.631851+5 5.069907-4 1.632257+5 5.400000-4 1.621002+5 5.754399-4 1.597957+5 6.125300-4 1.564533+5 6.531306-4 1.520441+5 7.000000-4 1.462998+5 7.500000-4 1.397454+5 8.035261-4 1.325732+5 8.609938-4 1.249163+5 9.332543-4 1.156338+5 1.011579-3 1.061852+5 1.096478-3 9.678805+4 1.190000-3 8.745300+4 1.303167-3 7.752365+4 1.412538-3 6.917992+4 1.548817-3 6.031871+4 1.717908-3 5.122145+4 1.862087-3 4.482357+4 2.041738-3 3.825410+4 2.290868-3 3.108425+4 2.570396-3 2.501131+4 2.900000-3 1.971474+4 3.235937-3 1.574139+4 3.630781-3 1.231845+4 4.040000-3 9.732960+3 4.518559-3 7.538249+3 5.011872-3 5.907167+3 5.559043-3 4.594825+3 6.165950-3 3.548027+3 6.839116-3 2.719945+3 7.585776-3 2.070656+3 8.413951-3 1.565264+3 9.440609-3 1.137877+3 1.047129-2 8.480500+2 1.174898-2 6.070467+2 1.318257-2 4.311458+2 1.479108-2 3.038964+2 1.659587-2 2.126352+2 1.862087-2 1.477180+2 2.104000-2 9.960752+1 2.371374-2 6.719934+1 2.691535-2 4.397257+1 3.054921-2 2.856900+1 3.507519-2 1.771386+1 4.027170-2 1.090387+1 4.677351-2 6.397636+0 5.495409-2 3.575518+0 6.237348-2 2.250998+0 7.585776-2 1.090112+0 1.202264-1 1.958614-1 1.364583-1 1.227358-1 1.640590-1 6.272674-2 1.949845-1 3.367882-2 2.290868-1 1.895955-2 2.600160-1 1.215391-2 2.917427-1 8.168082-3 3.235937-1 5.750784-3 3.589219-1 4.077078-3 3.981072-1 2.912177-3 4.365158-1 2.174518-3 4.786301-1 1.634479-3 5.248075-1 1.236789-3 5.754399-1 9.425920-4 6.165950-1 7.731468-4 6.683439-1 6.176358-4 7.328245-1 4.813905-4 8.709636-1 3.053271-4 9.225714-1 2.640430-4 9.660509-1 2.363545-4 1.011579+0 2.128134-4 1.071519+0 1.880604-4 1.135011+0 1.672720-4 1.216186+0 1.463805-4 1.318257+0 1.262290-4 1.840772+0 7.003986-5 2.065380+0 5.753648-5 2.371374+0 4.579722-5 2.722701+0 3.671181-5 3.126079+0 2.963362-5 3.630781+0 2.367533-5 4.216965+0 1.905213-5 4.954502+0 1.519063-5 5.888437+0 1.201030-5 7.000000+0 9.565400-6 8.511380+0 7.455144-6 1.035142+1 5.854556-6 1.273503+1 4.567094-6 1.566751+1 3.585911-6 2.041738+1 2.653752-6 2.754229+1 1.906053-6 4.027170+1 1.265742-6 6.000000+1 8.315400-7 9.772372+1 5.017948-7 1.717908+2 2.820480-7 3.427678+2 1.402209-7 1.364583+3 3.501268-8 1.000000+5 4.76850-10 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.300000+1 0.0 0.0 0.0 1.392900-4 1.392900-4 1.000000+5 1.392900-4 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.300000+1 0.0 0.0 0.0 1.392900-4 0.0 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.500000+1 0.0 0.0 0.0 1.229000-5 1.938019+6 1.240000-5 1.868586+6 1.244515-5 1.847110+6 1.290000-5 1.685773+6 1.333521-5 1.559801+6 1.380384-5 1.450961+6 1.427100-5 1.363133+6 1.479108-5 1.285861+6 1.531087-5 1.225138+6 1.584893-5 1.176768+6 1.630000-5 1.146035+6 1.678804-5 1.121399+6 1.730000-5 1.103802+6 1.785000-5 1.093161+6 1.840772-5 1.090120+6 1.900000-5 1.094478+6 1.950000-5 1.103776+6 2.000000-5 1.117775+6 2.070000-5 1.144672+6 2.137962-5 1.178440+6 2.213095-5 1.223871+6 2.300000-5 1.286384+6 2.400000-5 1.370773+6 2.500000-5 1.467582+6 2.610000-5 1.587359+6 2.754229-5 1.764404+6 2.917427-5 1.990055+6 3.589219-5 3.132603+6 3.845918-5 3.620875+6 4.073803-5 4.058517+6 4.315191-5 4.518145+6 4.570882-5 4.992384+6 4.841724-5 5.473226+6 5.150000-5 5.993540+6 5.500000-5 6.551129+6 5.821032-5 7.028697+6 6.165950-5 7.506236+6 6.531306-5 7.967571+6 6.900000-5 8.372268+6 7.244360-5 8.685523+6 7.585776-5 8.926774+6 7.900000-5 9.079616+6 8.222426-5 9.164050+6 8.511380-5 9.179469+6 8.810489-5 9.138249+6 9.120108-5 9.036439+6 9.440609-5 8.872113+6 9.772372-5 8.646841+6 1.011579-4 8.362894+6 1.040000-4 8.093113+6 1.071519-4 7.761359+6 1.100000-4 7.436678+6 1.128000-4 7.099770+6 1.161449-4 6.680684+6 1.190000-4 6.312346+6 1.220000-4 5.918866+6 1.252500-4 5.491322+6 1.280000-4 5.133701+6 1.315000-4 4.689712+6 1.350000-4 4.262351+6 1.380384-4 3.907570+6 1.415000-4 3.524875+6 1.450000-4 3.163970+6 1.490000-4 2.785085+6 1.531087-4 2.432472+6 1.566751-4 2.155313+6 1.603245-4 1.898550+6 1.640590-4 1.662711+6 1.678804-4 1.447567+6 1.720000-4 1.242525+6 1.760000-4 1.067539+6 1.800000-4 9.141434+5 1.840772-4 7.779285+5 1.883649-4 6.541960+5 1.915000-4 5.749460+5 1.950000-4 4.964675+5 1.990000-4 4.183933+5 2.020000-4 3.671678+5 2.060000-4 3.075852+5 2.100000-4 2.568154+5 2.137962-4 2.157395+5 2.170000-4 1.858167+5 2.213095-4 1.516016+5 2.264644-4 1.185652+5 2.371374-4 7.181252+4 2.405000-4 6.186501+4 2.430000-4 5.567969+4 2.458000-4 4.985483+4 2.483133-4 4.552773+4 2.500000-4 4.306184+4 2.520000-4 4.055901+4 2.540973-4 3.838997+4 2.560000-4 3.679511+4 2.575000-4 3.577039+4 2.593900-4 3.475139+4 2.610000-4 3.410709+4 2.628000-4 3.361363+4 2.643000-4 3.337351+4 2.660725-4 3.327661+4 2.680000-4 3.338488+4 2.700000-4 3.371428+4 2.722701-4 3.433330+4 2.750000-4 3.538915+4 2.778000-4 3.678672+4 2.807000-4 3.852894+4 2.840000-4 4.082690+4 2.900000-4 4.570146+4 3.020000-4 5.724363+4 3.090295-4 6.463602+4 3.150000-4 7.107535+4 3.216200-4 7.823628+4 3.280000-4 8.504593+4 3.350000-4 9.234005+4 3.400000-4 9.741040+4 3.480000-4 1.052137+5 3.550000-4 1.116515+5 3.630781-4 1.185895+5 3.715352-4 1.253128+5 3.801894-4 1.316068+5 3.890451-4 1.374225+5 4.000000-4 1.437491+5 4.120975-4 1.498749+5 4.216965-4 1.540129+5 4.365158-4 1.592071+5 4.466836-4 1.619865+5 4.623810-4 1.651424+5 4.786301-4 1.671272+5 4.954502-4 1.680206+5 5.188000-4 1.680249+5 5.370318-4 1.670279+5 5.559043-4 1.652053+5 5.821032-4 1.616479+5 6.125300-4 1.565338+5 6.382635-4 1.517003+5 6.683439-4 1.456201+5 7.079458-4 1.372804+5 7.498942-4 1.284191+5 7.943282-4 1.192409+5 8.413951-4 1.099771+5 8.912509-4 1.007839+5 9.440609-4 9.180399+4 1.011579-3 8.146705+4 1.083927-3 7.176795+4 1.161449-3 6.277777+4 1.244515-3 5.454597+4 1.333521-3 4.709292+4 1.445440-3 3.937561+4 1.566751-3 3.268369+4 1.698244-3 2.694075+4 1.840772-3 2.205414+4 2.041738-3 1.690035+4 2.238721-3 1.324539+4 2.449500-3 1.036012+4 2.660725-3 8.200812+3 2.917427-3 6.275964+3 3.235937-3 4.611186+3 3.589219-3 3.361838+3 3.935501-3 2.521360+3 4.315191-3 1.878765+3 4.731513-3 1.390899+3 5.188000-3 1.023065+3 5.623413-3 7.774905+2 6.237348-3 5.420119+2 6.918310-3 3.750065+2 7.673615-3 2.576658+2 8.609938-3 1.686343+2 9.660509-3 1.095455+2 1.071519-2 7.379767+1 1.202264-2 4.723581+1 1.348963-2 3.001693+1 1.531087-2 1.808588+1 1.737801-2 1.081256+1 1.972423-2 6.416552+0 2.238721-2 3.780755+0 2.570396-2 2.107308+0 3.000000-2 1.087207+0 3.548134-2 5.256717-1 4.315191-2 2.233657-1 6.382635-2 3.979862-2 1.023293-1 4.921919-3 1.202264-1 2.407275-3 1.333521-1 1.528527-3 1.496236-1 9.315991-4 1.698244-1 5.445446-4 1.949845-1 3.056031-4 2.290868-1 1.565635-4 2.570396-1 9.774270-5 2.884032-1 6.145849-5 3.198895-1 4.076914-5 3.548134-1 2.724232-5 3.935501-1 1.834394-5 4.315191-1 1.299746-5 4.731513-1 9.271838-6 5.248075-1 6.389033-6 5.688529-1 4.814452-6 6.025596-1 3.954085-6 6.456542-1 3.155883-6 6.998420-1 2.445752-6 8.035261-1 1.600225-6 8.511380-1 1.327911-6 8.912509-1 1.149592-6 9.332543-1 1.001807-6 9.660509-1 9.085677-7 1.000000+0 8.286700-7 1.035142+0 7.605723-7 1.071519+0 7.020553-7 1.109175+0 6.513367-7 1.161449+0 5.934000-7 1.216186+0 5.441169-7 1.303167+0 4.815337-7 1.412538+0 4.209493-7 1.500000+0 3.819800-7 1.905461+0 2.504904-7 2.113489+0 2.101296-7 2.426610+0 1.674583-7 2.786121+0 1.343851-7 3.198895+0 1.085981-7 3.715352+0 8.686523-8 4.365158+0 6.884322-8 5.128614+0 5.497501-8 6.095369+0 4.353369-8 7.328245+0 3.421977-8 8.912509+0 2.671372-8 1.100000+1 2.064300-8 1.400000+1 1.550500-8 1.778279+1 1.177411-8 2.238721+1 9.089853-9 2.884032+1 6.881244-9 4.168694+1 4.630666-9 6.237348+1 3.030896-9 1.035142+2 1.795172-9 1.840772+2 9.98083-10 3.672823+2 4.96468-10 1.462177+3 1.24001-10 1.000000+5 1.80990-12 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.500000+1 0.0 0.0 0.0 1.229000-5 1.229000-5 1.000000+5 1.229000-5 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.500000+1 0.0 0.0 0.0 1.229000-5 0.0 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 3.600000+1 0.0 0.0 0.0 1.018000-5 3.457292+6 1.022000-5 3.363962+6 1.023293-5 3.343892+6 1.071519-5 2.931088+6 1.097000-5 2.754342+6 1.135011-5 2.535567+6 1.161449-5 2.409164+6 1.202264-5 2.245787+6 1.230269-5 2.152511+6 1.273503-5 2.033613+6 1.318257-5 1.936618+6 1.364583-5 1.858767+6 1.412538-5 1.798111+6 1.462177-5 1.753162+6 1.513561-5 1.722855+6 1.566751-5 1.706219+6 1.621810-5 1.702560+6 1.678804-5 1.711395+6 1.737801-5 1.732393+6 1.800000-5 1.766118+6 1.870000-5 1.816758+6 1.927525-5 1.867527+6 2.000000-5 1.942134+6 2.089296-5 2.049234+6 2.190000-5 2.188436+6 2.300000-5 2.360804+6 2.426610-5 2.583241+6 2.580000-5 2.884161+6 2.818383-5 3.409813+6 3.311311-5 4.656944+6 3.570000-5 5.353465+6 3.801894-5 5.975477+6 4.027170-5 6.567716+6 4.265795-5 7.171771+6 4.518559-5 7.776676+6 4.800000-5 8.409802+6 5.128614-5 9.097440+6 5.500000-5 9.805779+6 5.900000-5 1.049780+7 6.237348-5 1.101509+7 6.606934-5 1.150003+7 6.918310-5 1.183721+7 7.244360-5 1.210444+7 7.500000-5 1.224617+7 7.800000-5 1.233887+7 8.128305-5 1.234910+7 8.413951-5 1.227708+7 8.709636-5 1.212887+7 9.015711-5 1.190875+7 9.332543-5 1.161551+7 9.660509-5 1.124430+7 1.000000-4 1.080075+7 1.035142-4 1.029419+7 1.060000-4 9.909939+6 1.090000-4 9.419928+6 1.122018-4 8.873848+6 1.150000-4 8.386419+6 1.182100-4 7.822481+6 1.213000-4 7.278306+6 1.244515-4 6.727766+6 1.280000-4 6.123789+6 1.315000-4 5.553611+6 1.350000-4 5.012480+6 1.380384-4 4.567945+6 1.415000-4 4.093246+6 1.450000-4 3.650563+6 1.490000-4 3.190593+6 1.520000-4 2.875974+6 1.560000-4 2.494861+6 1.600000-4 2.156166+6 1.640590-4 1.853274+6 1.678804-4 1.601924+6 1.717908-4 1.375009+6 1.757924-4 1.171700+6 1.800000-4 9.866327+5 1.840772-4 8.322442+5 1.880000-4 7.039197+5 1.915000-4 6.042313+5 1.950000-4 5.170880+5 1.990000-4 4.312819+5 2.020000-4 3.755217+5 2.060000-4 3.112161+5 2.100000-4 2.569727+5 2.137962-4 2.136256+5 2.187762-4 1.671767+5 2.300000-4 9.671996+4 2.340000-4 8.050077+4 2.365800-4 7.201692+4 2.390000-4 6.531988+4 2.407000-4 6.128493+4 2.430000-4 5.663511+4 2.450000-4 5.329061+4 2.465000-4 5.117669+4 2.485000-4 4.884622+4 2.501000-4 4.735648+4 2.520000-4 4.598830+4 2.535000-4 4.519514+4 2.550000-4 4.463840+4 2.565700-4 4.429313+4 2.580000-4 4.417706+4 2.600160-4 4.431246+4 2.620000-4 4.476170+4 2.643000-4 4.564030+4 2.660725-4 4.655696+4 2.690000-4 4.848094+4 2.722701-4 5.116158+4 2.754229-4 5.419864+4 2.800000-4 5.925358+4 2.930000-4 7.642145+4 3.000000-4 8.666396+4 3.054921-4 9.488101+4 3.090295-4 1.001827+5 3.155800-4 1.099433+5 3.198895-4 1.162828+5 3.235937-4 1.216551+5 3.273407-4 1.270004+5 3.311311-4 1.323013+5 3.388442-4 1.427020+5 3.467369-4 1.527282+5 3.548134-4 1.622644+5 3.630781-4 1.712116+5 3.715352-4 1.794901+5 3.801894-4 1.870408+5 3.890451-4 1.938261+5 4.027170-4 2.027553+5 4.120975-4 2.083282+5 4.216965-4 2.131107+5 4.365158-4 2.187920+5 4.518559-4 2.227164+5 4.677351-4 2.249751+5 4.841724-4 2.257071+5 5.128614-4 2.244665+5 5.308844-4 2.225240+5 5.495409-4 2.195423+5 5.754399-4 2.141546+5 6.025596-4 2.074423+5 6.309573-4 1.998220+5 6.606934-4 1.913412+5 7.000000-4 1.798072+5 7.413102-4 1.677879+5 7.852356-4 1.553947+5 8.317638-4 1.429487+5 8.810489-4 1.306793+5 9.440609-4 1.164585+5 1.011579-3 1.029493+5 1.083927-3 9.034133+4 1.161449-3 7.876406+4 1.244515-3 6.822604+4 1.333521-3 5.873298+4 1.445440-3 4.894391+4 1.566751-3 4.048019+4 1.698244-3 3.324940+4 1.862087-3 2.635357+4 2.018366-3 2.136332+4 2.213095-3 1.668101+4 2.426610-3 1.292506+4 2.660725-3 9.937206+3 2.951209-3 7.334725+3 3.273407-3 5.383411+3 3.589219-3 4.062051+3 3.758374-3 3.516613+3 4.073803-3 2.708789+3 4.466836-3 1.993974+3 4.897788-3 1.457189+3 5.821032-3 7.996479+2 6.531306-3 5.323268+2 7.249000-3 3.656595+2 8.035261-3 2.503933+2 8.912509-3 1.698913+2 9.885531-3 1.145052+2 1.109175-2 7.330137+1 1.244515-2 4.656662+1 1.396368-2 2.936775+1 1.584893-2 1.754630+1 1.798871-2 1.040069+1 2.041738-2 6.118710+0 2.317395-2 3.573130+0 2.660725-2 1.972159+0 3.090295-2 1.027932+0 3.630781-2 5.056231-1 4.365158-2 2.229904-1 6.095369-2 4.998231-2 1.000000-1 5.378500-3 1.174898-1 2.595455-3 1.318257-1 1.551511-3 1.479108-1 9.369809-4 1.659587-1 5.700623-4 1.862087-1 3.492535-4 2.213095-1 1.689838-4 2.454709-1 1.100201-4 2.722701-1 7.214323-5 3.000000-1 4.895900-5 3.273407-1 3.479630-5 3.589219-1 2.444064-5 3.890451-1 1.805988-5 4.216965-1 1.343162-5 4.570882-1 1.005732-5 4.954502-1 7.584084-6 5.370318-1 5.759546-6 5.754399-1 4.578464-6 6.095369-1 3.801992-6 6.531306-1 3.066277-6 7.079458-1 2.404984-6 7.673615-1 1.900366-6 8.035261-1 1.664634-6 8.511380-1 1.403702-6 9.015711-1 1.191588-6 9.440609-1 1.052031-6 9.885531-1 9.355082-7 1.035142+0 8.388377-7 1.083927+0 7.578520-7 1.135011+0 6.891161-7 1.202264+0 6.165052-7 1.303167+0 5.326977-7 1.428894+0 4.547783-7 1.513561+0 4.126709-7 1.862087+0 2.861050-7 2.065380+0 2.397155-7 2.371374+0 1.908173-7 2.722701+0 1.529578-7 3.126079+0 1.234614-7 3.630781+0 9.863659-8 4.216965+0 7.937487-8 4.954502+0 6.328719-8 5.888437+0 5.003763-8 7.000000+0 3.985100-8 8.413951+0 3.151195-8 1.023293+1 2.473568-8 1.258925+1 1.928864-8 1.531087+1 1.534309-8 1.972423+1 1.149314-8 2.691535+1 8.142665-9 3.935501+1 5.404282-9 5.754399+1 3.619069-9 9.332543+1 2.192015-9 1.640590+2 1.231308-9 3.273407+2 6.11920-10 1.303167+3 1.52757-10 1.000000+5 1.98660-12 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 3.600000+1 0.0 0.0 0.0 1.018000-5 1.018000-5 1.000000+5 1.018000-5 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 3.600000+1 0.0 0.0 0.0 1.018000-5 0.0 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.100000+1 0.0 0.0 0.0 6.485000-5 4.808480+5 6.531306-5 4.773839+5 6.620000-5 4.635480+5 6.760830-5 4.395497+5 6.918310-5 4.117526+5 7.150000-5 3.719480+5 8.150000-5 2.419600+5 8.511380-5 2.109536+5 8.912509-5 1.835387+5 9.332543-5 1.607673+5 9.800000-5 1.406396+5 1.035142-4 1.219595+5 1.100000-4 1.049076+5 1.174898-4 8.980329+4 1.244515-4 7.892191+4 1.318257-4 6.984332+4 1.396368-4 6.227974+4 1.480000-4 5.590360+4 1.569700-4 5.049201+4 1.678804-4 4.530042+4 1.819701-4 4.009938+4 2.000000-4 3.502580+4 2.213095-4 3.053700+4 2.483133-4 2.635861+4 3.311311-4 1.851614+4 4.265795-4 1.360962+4 5.432503-4 1.007341+4 6.760830-4 7.601164+3 8.035261-4 6.042497+3 9.549926-4 4.772579+3 1.150000-3 3.673480+3 1.380384-3 2.818643+3 1.659587-3 2.141686+3 2.018366-3 1.587593+3 2.483133-3 1.147774+3 3.126079-3 7.941624+2 3.935501-3 5.455725+2 4.954502-3 3.721370+2 6.165950-3 2.568601+2 7.585776-3 1.794352+2 9.225714-3 1.269239+2 1.096478-2 9.288590+1 1.333521-2 6.460654+1 1.566751-2 4.761556+1 1.927525-2 3.187944+1 2.398833-2 2.070570+1 3.198895-2 1.163795+1 3.801894-2 8.178360+0 4.265795-2 6.428106+0 5.011872-2 4.553864+0 6.000000-2 3.074551+0 7.244360-2 2.022974+0 8.912509-2 1.266529+0 1.059254-1 8.520578-1 1.380384-1 4.595903-1 2.691535-1 9.557348-2 3.349654-1 5.751390-2 4.027170-1 3.776552-2 4.786301-1 2.567429-2 5.623413-1 1.804124-2 6.531306-1 1.309664-2 7.585776-1 9.576700-3 8.912509-1 6.888046-3 1.011579+0 5.354200-3 1.230269+0 3.658232-3 1.396368+0 2.880521-3 1.566751+0 2.332937-3 1.778279+0 1.864086-3 2.018366+0 1.500257-3 2.317395+0 1.192678-3 2.660725+0 9.549488-4 3.054921+0 7.699418-4 3.548134+0 6.144310-4 4.120975+0 4.939165-4 4.841724+0 3.933866-4 5.754399+0 3.107126-4 6.839116+0 2.472858-4 8.222427+0 1.953082-4 1.000000+1 1.531700-4 1.230269+1 1.193378-4 1.500000+1 9.459800-5 1.905461+1 7.194813-5 2.540973+1 5.221820-5 3.589219+1 3.591159-5 5.011872+1 2.518804-5 7.762471+1 1.596081-5 1.333521+2 9.154332-6 2.660725+2 4.541416-6 5.308844+2 2.264778-6 2.113489+3 5.667341-7 1.000000+5 1.196100-8 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.100000+1 0.0 0.0 0.0 6.485000-5 6.485000-5 1.000000+5 6.485000-5 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.100000+1 0.0 0.0 0.0 6.485000-5 0.0 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.300000+1 0.0 0.0 0.0 4.127000-5 1.186738+7 4.140000-5 1.156958+7 4.175000-5 1.087312+7 4.220000-5 1.011696+7 4.265795-5 9.461084+6 4.330000-5 8.688360+6 4.400000-5 7.999320+6 4.470000-5 7.419060+6 4.550000-5 6.861120+6 4.650000-5 6.279020+6 4.786301-5 5.629932+6 4.954502-5 4.987120+6 5.150000-5 4.389080+6 5.432503-5 3.709777+6 6.606934-5 2.031865+6 8.128305-5 1.068794+6 9.120108-5 7.527697+5 1.096478-4 4.347580+5 1.584893-4 1.462917+5 1.900000-4 8.620940+4 2.187762-4 5.751943+4 2.454709-4 4.158784+4 2.730000-4 3.103520+4 2.985383-4 2.442465+4 3.235937-4 1.981997+4 3.507519-4 1.620168+4 3.780000-4 1.353500+4 4.027170-4 1.169220+4 4.315191-4 1.004071+4 4.623810-4 8.690695+3 4.954502-4 7.582687+3 5.308844-4 6.666446+3 5.650000-4 5.976120+3 6.025596-4 5.372988+3 6.456542-4 4.826230+3 7.000000-4 4.290000+3 7.585776-4 3.845397+3 8.317638-4 3.417984+3 9.225714-4 3.015709+3 1.059254-3 2.573018+3 1.566751-3 1.662510+3 1.883649-3 1.344003+3 2.187762-3 1.123025+3 2.540973-3 9.317441+2 2.951209-3 7.674635+2 3.427678-3 6.272678+2 3.935501-3 5.170405+2 4.518559-3 4.232302+2 5.188000-3 3.439089+2 5.821032-3 2.870899+2 6.683439-3 2.294101+2 7.585776-3 1.854723+2 8.709636-3 1.459333+2 1.000000-2 1.139091+2 1.148154-2 8.806119+1 1.333521-2 6.612751+1 1.737801-2 3.945207+1 1.972423-2 3.061904+1 2.137962-2 2.593898+1 2.398833-2 2.028192+1 2.722701-2 1.535716+1 3.198895-2 1.068194+1 3.715352-2 7.566723+0 4.315191-2 5.318312+0 5.011872-2 3.710557+0 5.888437-2 2.499270+0 6.998420-2 1.623153+0 8.413951-2 1.016304+0 1.035142-1 5.954322-1 1.364583-1 2.889619-1 2.371374-1 6.753627-2 2.917427-1 3.940324-2 3.467369-1 2.531393-2 4.073803-1 1.687165-2 4.677351-1 1.199824-2 5.370318-1 8.596048-3 6.095369-1 6.379367-3 6.918310-1 4.772753-3 7.762471-1 3.692192-3 8.709636-1 2.871840-3 9.549926-1 2.364988-3 1.047129+0 1.963695-3 1.188502+0 1.532118-3 1.318257+0 1.258404-3 1.500000+0 9.923800-4 1.717908+0 7.786130-4 1.949845+0 6.253022-4 2.238721+0 4.962215-4 2.570396+0 3.966148-4 2.951209+0 3.192097-4 3.427678+0 2.542837-4 4.000000+0 2.026800-4 4.677351+0 1.622739-4 5.559043+0 1.279664-4 6.606934+0 1.016962-4 7.943282+0 8.020930-5 9.549926+0 6.371440-5 1.174898+1 4.955652-5 1.462177+1 3.830262-5 1.862087+1 2.903130-5 2.400000+1 2.186500-5 3.090295+1 1.658885-5 4.365158+1 1.145685-5 6.606934+1 7.416122-6 1.109175+2 4.344833-6 2.018366+2 2.361999-6 4.027170+2 1.175659-6 1.603245+3 2.937829-7 1.000000+5 4.702100-9 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.300000+1 0.0 0.0 0.0 4.127000-5 4.127000-5 1.000000+5 4.127000-5 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.300000+1 0.0 0.0 0.0 4.127000-5 0.0 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 4.400000+1 0.0 0.0 0.0 2.577000-5 3.549262+7 2.587000-5 3.408116+7 2.615000-5 3.145188+7 2.645000-5 2.902236+7 2.691535-5 2.589524+7 2.740000-5 2.324860+7 2.786121-5 2.114772+7 2.830000-5 1.944828+7 2.888200-5 1.753654+7 2.951209-5 1.580479+7 3.019952-5 1.422258+7 3.120000-5 1.234620+7 3.235937-5 1.062642+7 3.350000-5 9.273720+6 3.507519-5 7.796388+6 3.715352-5 6.323846+6 4.000000-5 4.876080+6 4.466836-5 3.337164+6 5.069907-5 2.176005+6 5.623413-5 1.543002+6 6.095369-5 1.187662+6 6.606934-5 9.205911+5 7.079458-5 7.450432+5 7.585776-5 6.072325+5 8.035261-5 5.151946+5 8.511380-5 4.396805+5 9.015711-5 3.776071+5 9.549926-5 3.264200+5 1.011579-4 2.840564+5 1.071519-4 2.488615+5 1.135011-4 2.194775+5 1.202264-4 1.947726+5 1.288250-4 1.700404+5 1.380384-4 1.495801+5 1.480000-4 1.323708+5 1.584893-4 1.181520+5 1.698244-4 1.060231+5 1.850000-4 9.343600+4 2.041738-4 8.147552+4 2.300000-4 6.963040+4 2.660725-4 5.793131+4 4.518559-4 3.050414+4 5.500000-4 2.388724+4 6.606934-4 1.887471+4 7.762471-4 1.523507+4 9.120108-4 1.220455+4 1.071519-3 9.702773+3 1.258925-3 7.652386+3 1.462177-3 6.091123+3 1.717908-3 4.726851+3 2.018366-3 3.639838+3 2.371374-3 2.782035+3 2.786121-3 2.110463+3 3.311311-3 1.557179+3 3.890451-3 1.163447+3 4.518559-3 8.811840+2 5.248075-3 6.625853+2 6.095369-3 4.944697+2 7.000000-3 3.745950+2 8.035261-3 2.820477+2 9.332543-3 2.055527+2 1.109175-2 1.414422+2 1.273503-2 1.041534+2 1.462177-2 7.612338+1 1.640590-2 5.819869+1 1.862087-2 4.302005+1 2.137962-2 3.070560+1 2.454709-2 2.175187+1 2.818383-2 1.529532+1 3.235937-2 1.067779+1 3.758374-2 7.177491+0 4.315191-2 4.939066+0 5.011872-2 3.270480+0 5.888437-2 2.081733+0 6.918310-2 1.314673+0 8.317638-2 7.713974-1 1.023293-1 4.200273-1 1.380384-1 1.725340-1 2.089296-1 5.020154-2 2.570396-1 2.724622-2 3.019952-1 1.705272-2 3.507519-1 1.111526-2 4.027170-1 7.543503-3 4.570882-1 5.326612-3 5.128614-1 3.908409-3 5.754399-1 2.888092-3 6.382635-1 2.214425-3 7.079458-1 1.709138-3 7.852356-1 1.327826-3 8.709636-1 1.034095-3 9.332543-1 8.807680-4 9.885531-1 7.750538-4 1.059254+0 6.701124-4 1.148154+0 5.701771-4 1.250000+0 4.846700-4 1.380384+0 4.040513-4 1.757924+0 2.627393-4 1.995262+0 2.111755-4 2.290868+0 1.678075-4 2.630268+0 1.342791-4 3.019952+0 1.081912-4 3.507519+0 8.628724-5 4.073803+0 6.932440-5 4.786301+0 5.518521-5 5.688529+0 4.356396-5 6.760830+0 3.465516-5 8.128305+0 2.735837-5 9.885531+0 2.144602-5 1.216186+1 1.670177-5 1.500000+1 1.306000-5 1.905461+1 9.932613-6 2.540973+1 7.208995-6 3.589219+1 4.957734-6 5.011872+1 3.477308-6 7.762471+1 2.203416-6 1.348963+2 1.249036-6 2.691535+2 6.196917-7 5.370318+2 3.090608-7 2.137962+3 7.734279-8 1.000000+5 1.651300-9 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 4.400000+1 0.0 0.0 0.0 2.577000-5 2.577000-5 1.000000+5 2.577000-5 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 4.400000+1 0.0 0.0 0.0 2.577000-5 0.0 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 73 0 91 0.0 5.800000+1 0.0 0.0 0.0 5.850000-6 1.106644+7 5.888437-6 1.091387+7 5.956621-6 1.057701+7 6.606934-6 7.698918+6 7.500000-6 5.254620+6 8.511380-6 3.615465+6 9.700000-6 2.474560+6 1.122018-5 1.635640+6 1.288250-5 1.112211+6 1.513561-5 7.147740+5 1.800000-5 4.482740+5 2.089296-5 3.020431+5 2.426610-5 2.045997+5 2.800000-5 1.420738+5 3.162278-5 1.049122+5 3.548134-5 7.932329+4 3.981072-5 6.045306+4 4.415704-5 4.765872+4 4.897788-5 3.784528+4 5.495409-5 2.953385+4 6.095369-5 2.379186+4 6.760830-5 1.931620+4 7.500000-5 1.579288+4 8.222426-5 1.330270+4 9.120108-5 1.104975+4 1.011579-4 9.243357+3 1.150000-4 7.482840+3 1.273503-4 6.361020+3 1.450000-4 5.213600+3 1.603245-4 4.499635+3 1.798871-4 3.826898+3 4.027170-4 1.281555+3 5.128614-4 9.321483+2 6.309573-4 7.024244+2 8.609938-4 4.569979+2 1.000000-3 3.689560+2 1.258925-3 2.635703+2 1.548817-3 1.932895+2 1.905461-3 1.405961+2 2.371374-3 9.970061+1 2.934720-3 7.081740+1 5.370318-3 2.597080+1 6.237348-3 2.016347+1 7.673615-3 1.407035+1 9.440609-3 9.744090+0 1.148154-2 6.834606+0 1.396368-2 4.757292+0 1.698244-2 3.285514+0 2.041738-2 2.302017+0 2.454709-2 1.601183+0 2.917427-2 1.131386+0 3.507519-2 7.746589-1 4.216965-2 5.263391-1 5.069907-2 3.548756-1 6.095369-2 2.373539-1 7.413102-2 1.536192-1 8.810489-2 1.039285-1 1.096478-1 6.284662-2 1.445440-1 3.300716-2 2.570396-1 8.506808-3 3.198895-1 5.114291-3 3.890451-1 3.268532-3 4.623810-1 2.218059-3 5.308844-1 1.636849-3 6.165950-1 1.186174-3 7.161434-1 8.658786-4 8.317638-1 6.369404-4 9.549926-1 4.832075-4 1.216186+0 3.017827-4 1.380384+0 2.373414-4 1.548817+0 1.919870-4 1.757924+0 1.533061-4 2.000000+0 1.228100-4 2.290868+0 9.795038-5 2.630268+0 7.838351-5 3.019952+0 6.316765-5 3.507519+0 5.037945-5 4.073803+0 4.047599-5 4.786301+0 3.222101-5 5.688529+0 2.543541-5 6.760830+0 2.023400-5 8.128305+0 1.597303-5 9.885531+0 1.252115-5 1.216186+1 9.751634-6 1.500000+1 7.625000-6 1.905461+1 5.799374-6 2.540973+1 4.209032-6 3.589219+1 2.894669-6 5.011872+1 2.030225-6 7.762471+1 1.286476-6 1.348963+2 7.292761-7 2.691535+2 3.618131-7 5.370318+2 1.804457-7 2.137962+3 4.515740-8 1.000000+5 9.64110-10 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 73 11 91 0.0 5.800000+1 0.0 0.0 0.0 5.850000-6 5.850000-6 1.000000+5 5.850000-6 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 73 10 91 0.0 5.800000+1 0.0 0.0 0.0 5.850000-6 0.0 1.000000+5 1.000000+5 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 74 0 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.025120+0 1.000000-6 1.025500+0 1.409740-6 1.025800+0 1.802210-6 1.026100+0 2.261090-6 1.026600+0 3.187610-6 1.027100+0 4.336810-6 1.027500+0 5.431810-6 1.028100+0 7.395310-6 1.028750+0 1.000000-5 1.029500+0 1.368530-5 1.030100+0 1.721090-5 1.031000+0 2.355030-5 1.032000+0 3.222280-5 1.033200+0 4.513870-5 1.034000+0 5.541190-5 1.035300+0 7.521380-5 1.036640+0 1.000000-4 1.038200+0 1.349530-4 1.039700+0 1.753310-4 1.041500+0 2.332770-4 1.043800+0 3.237960-4 1.046400+0 4.505010-4 1.048300+0 5.608860-4 1.051200+0 7.608300-4 1.054080+0 1.000000-3 1.057700+0 1.363060-3 1.061100+0 1.772990-3 1.065100+0 2.347230-3 1.070400+0 3.274610-3 1.076200+0 4.525470-3 1.080600+0 5.651570-3 1.087100+0 7.614580-3 1.093710+0 1.000000-2 1.102600+0 1.386550-2 1.110700+0 1.808430-2 1.120600+0 2.419320-2 1.133300+0 3.364070-2 1.147500+0 4.645260-2 1.158200+0 5.773070-2 1.174100+0 7.714990-2 1.190110+0 1.000000-1 1.205100+0 1.244300-1 1.227500+0 1.664810-1 1.250000+0 2.153000-1 1.280300+0 2.910840-1 1.307700+0 3.690110-1 1.343000+0 4.814830-1 1.382200+0 6.203510-1 1.411700+0 7.330160-1 1.455800+0 9.115620-1 1.500000+0 1.099000+0 1.562500+0 1.370630+0 1.641100+0 1.712790+0 1.706900+0 1.993470+0 1.811600+0 2.423760+0 1.952900+0 2.976300+0 2.000000+0 3.157000+0 2.044000+0 3.325000+0 2.163500+0 3.767450+0 2.372600+0 4.490230+0 2.686300+0 5.465710+0 3.000000+0 6.339000+0 3.500000+0 7.583390+0 4.000000+0 8.707000+0 5.000000+0 1.068000+1 6.000000+0 1.231000+1 7.000000+0 1.382000+1 8.000000+0 1.519000+1 9.000000+0 1.645000+1 1.000000+1 1.761000+1 1.100000+1 1.870000+1 1.200000+1 1.971000+1 1.300000+1 2.065000+1 1.400000+1 2.154000+1 1.500000+1 2.237000+1 1.600000+1 2.315000+1 1.800000+1 2.457000+1 2.000000+1 2.583000+1 2.200000+1 2.699000+1 2.400000+1 2.804000+1 2.600000+1 2.901000+1 2.800000+1 2.990000+1 3.000000+1 3.071000+1 4.000000+1 3.404000+1 5.000000+1 3.652000+1 6.000000+1 3.845000+1 8.000000+1 4.128000+1 1.000000+2 4.328000+1 1.500000+2 4.640000+1 2.000000+2 4.826000+1 3.000000+2 5.043000+1 4.000000+2 5.167000+1 5.000000+2 5.248000+1 6.000000+2 5.306000+1 8.000000+2 5.383000+1 1.000000+3 5.433000+1 1.500000+3 5.504000+1 2.000000+3 5.544000+1 3.000000+3 5.584000+1 4.000000+3 5.610000+1 5.000000+3 5.625000+1 6.000000+3 5.635000+1 8.000000+3 5.648000+1 1.000000+4 5.656000+1 1.500000+4 5.667000+1 2.000000+4 5.674000+1 3.000000+4 5.679000+1 4.000000+4 5.684000+1 5.000000+4 5.686000+1 6.000000+4 5.687000+1 8.000000+4 5.688000+1 1.000000+5 5.690000+1 1 100000 7 8 2.570000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 74 10 0 0.0 0.0 0.0 0.0 0.0 1.022000+0 0.0 1.000000+5 4.999949+4 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 75 0 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 0.0 2.085810+0 1.000000-6 2.090400+0 1.357750-6 2.094700+0 1.760530-6 2.099900+0 2.342140-6 2.106600+0 3.258110-6 2.114000+0 4.508010-6 2.119500+0 5.612440-6 2.127900+0 7.611530-6 2.136250+0 1.000000-5 2.147000+0 1.371070-5 2.156900+0 1.780860-5 2.169000+0 2.376660-5 2.184500+0 3.303640-5 2.201800+0 4.570690-5 2.214800+0 5.694720-5 2.234200+0 7.660400-5 2.253680+0 1.000000-4 2.281500+0 1.400670-4 2.307000+0 1.839780-4 2.338200+0 2.473730-4 2.377400+0 3.425810-4 2.410200+0 4.357050-4 2.446800+0 5.542420-4 2.485900+0 6.978210-4 2.532900+0 8.930670-4 2.556430+0 1.000000-3 2.611900+0 1.275130-3 2.660400+0 1.541590-3 2.745300+0 2.063370-3 2.809000+0 2.498890-3 2.904500+0 3.219180-3 3.000000+0 4.018000-3 3.125000+0 5.180270-3 3.234400+0 6.302020-3 3.425800+0 8.483040-3 3.569300+0 1.028310-2 3.784700+0 1.321240-2 4.000000+0 1.636000-2 4.250000+0 2.020730-2 4.625000+0 2.625160-2 5.000000+0 3.253000-2 5.500000+0 4.113470-2 6.000000+0 4.984000-2 6.750000+0 6.277090-2 7.000000+0 6.702000-2 8.000000+0 8.362000-2 9.000000+0 9.945000-2 1.000000+1 1.144000-1 1.100000+1 1.286000-1 1.200000+1 1.419000-1 1.300000+1 1.544000-1 1.400000+1 1.662000-1 1.500000+1 1.774000-1 1.600000+1 1.880000-1 1.800000+1 2.076000-1 2.000000+1 2.254000-1 2.200000+1 2.415000-1 2.400000+1 2.563000-1 2.600000+1 2.699000-1 2.800000+1 2.825000-1 3.000000+1 2.942000-1 4.000000+1 3.420000-1 5.000000+1 3.779000-1 6.000000+1 4.060000-1 8.000000+1 4.479000-1 1.000000+2 4.780000-1 1.500000+2 5.271000-1 2.000000+2 5.574000-1 3.000000+2 5.940000-1 4.000000+2 6.157000-1 5.000000+2 6.304000-1 6.000000+2 6.412000-1 8.000000+2 6.559000-1 1.000000+3 6.657000-1 1.500000+3 6.802000-1 2.000000+3 6.884000-1 3.000000+3 6.973000-1 4.000000+3 7.027000-1 5.000000+3 7.058000-1 6.000000+3 7.081000-1 8.000000+3 7.111000-1 1.000000+4 7.130000-1 1.500000+4 7.156000-1 2.000000+4 7.171000-1 3.000000+4 7.185000-1 4.000000+4 7.194000-1 5.000000+4 7.200000-1 6.000000+4 7.203000-1 8.000000+4 7.207000-1 1.000000+5 7.210000-1 1 100000 7 8 2.570000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 100000 7 9 2.570000+2 9707042 2 0.0 0.0 0.0 75 10 0 0.0 0.0 0.0 0.0 0.0 2.044000+0 5.110000-1 1.000000+5 4.999949+4 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 93941 0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+2 1.000000+5 1.000000+2 5.000000+5 9.996100+1 1.000000+6 9.990300+1 1.375000+6 9.984530+1 1.500000+6 9.981900+1 1.875000+6 9.972010+1 2.000000+6 9.968200+1 2.375000+6 9.954870+1 2.500000+6 9.950900+1 2.875000+6 9.935030+1 3.000000+6 9.930200+1 3.437500+6 9.908930+1 3.812500+6 9.889320+1 4.000000+6 9.879900+1 4.500000+6 9.852090+1 4.875000+6 9.828990+1 5.000000+6 9.821700+1 5.500000+6 9.788370+1 5.875000+6 9.761920+1 6.437500+6 9.720720+1 7.000000+6 9.678400+1 8.000000+6 9.600300+1 9.000000+6 9.520700+1 1.000000+7 9.437200+1 1.250000+7 9.225100+1 1.500000+7 9.000700+1 1.750000+7 8.769400+1 2.000000+7 8.530400+1 2.250000+7 8.284520+1 2.500000+7 8.038000+1 2.875000+7 7.675400+1 3.000000+7 7.558500+1 3.437500+7 7.162610+1 4.000000+7 6.697300+1 4.500000+7 6.324760+1 4.750000+7 6.150950+1 5.000000+7 5.985800+1 5.750000+7 5.529530+1 6.000000+7 5.390400+1 6.750000+7 5.004450+1 7.000000+7 4.886500+1 8.000000+7 4.462600+1 9.000000+7 4.107600+1 1.000000+8 3.806500+1 1.125000+8 3.483020+1 1.250000+8 3.198100+1 1.359400+8 2.970100+1 1.437500+8 2.816000+1 1.453100+8 2.786220+1 1.500000+8 2.697200+1 1.617200+8 2.483570+1 1.750000+8 2.261400+1 1.753900+8 2.255240+1 1.938500+8 1.986330+1 2.000000+8 1.906600+1 2.218800+8 1.664470+1 2.341800+8 1.559650+1 2.447300+8 1.487400+1 2.500000+8 1.457100+1 2.625000+8 1.398500+1 2.859400+8 1.309580+1 3.000000+8 1.254900+1 3.125000+8 1.201380+1 3.500000+8 1.052700+1 3.875000+8 9.470570+0 4.000000+8 9.118400+0 4.125000+8 8.739050+0 4.234400+8 8.396390+0 4.425800+8 7.795310+0 4.500000+8 7.572520+0 5.000000+8 6.301400+0 5.250000+8 5.827340+0 5.437500+8 5.529940+0 5.718800+8 5.154200+0 6.000000+8 4.842500+0 6.250000+8 4.606180+0 6.625000+8 4.309580+0 7.000000+8 4.070700+0 7.750000+8 3.690060+0 8.000000+8 3.564100+0 8.359400+8 3.371410+0 8.660200+8 3.207060+0 9.138700+8 2.952840+0 9.500000+8 2.773690+0 1.000000+9 2.550900+0 1.089800+9 2.224990+0 1.165000+9 2.012950+0 1.243500+9 1.837660+0 1.250000+9 1.824970+0 1.307700+9 1.722500+0 1.376400+9 1.622280+0 1.438200+9 1.549090+0 1.500000+9 1.489600+0 1.562500+9 1.441260+0 1.617200+9 1.405910+0 2.000000+9 1.231300+0 2.139200+9 1.170860+0 2.272600+9 1.111600+0 2.357800+9 1.073800+0 2.522900+9 1.001800+0 2.677700+9 9.369270-1 2.750000+9 9.077390-1 2.890900+9 8.529090-1 3.086500+9 7.819210-1 3.325700+9 7.031510-1 3.535000+9 6.412530-1 3.718100+9 5.921160-1 4.038600+9 5.163060-1 4.278900+9 4.671120-1 4.639500+9 4.036460-1 5.000000+9 3.507300-1 5.375000+9 3.047360-1 5.703100+9 2.707220-1 6.277300+9 2.222480-1 6.708000+9 1.931570-1 7.354000+9 1.582890-1 8.000000+9 1.313400-1 9.000000+9 1.005740-1 1.00000+10 7.892300-2 1.27030+10 4.523130-2 1.55700+10 2.802870-2 1.85560+10 1.849010-2 2.46860+10 9.345290-3 3.41010+10 4.288390-3 1.00000+11 3.136100-4 1.68570+11 8.854290-5 3.34410+11 1.702820-5 1.39060+12 5.694370-7 1.17920+13 3.673770-9 1.00000+14 2.41590-11 3.16230+15 6.91834-15 1.00000+17 1.90810-18 1 100000 7 0 2.570000+2 9707045 2 0.0 0.0 0.0 93942 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.000000+1 1.20100-11 1.000000+2 1.201000-9 1.000000+3 1.201000-7 1.000000+4 1.201000-5 1.000000+5 1.201000-3 5.000000+5 3.002500-2 1.000000+6 1.201000-1 1.375000+6 2.247220-1 1.500000+6 2.663000-1 1.875000+6 4.092480-1 2.000000+6 4.627000-1 2.375000+6 6.387760-1 2.500000+6 7.024000-1 2.875000+6 9.059340-1 3.000000+6 9.776000-1 3.437500+6 1.240340+0 3.812500+6 1.478570+0 4.000000+6 1.601600+0 4.500000+6 1.938710+0 4.875000+6 2.196300+0 5.000000+6 2.282400+0 5.500000+6 2.624160+0 5.875000+6 2.878280+0 6.437500+6 3.255100+0 7.000000+6 3.627000+0 8.000000+6 4.278100+0 9.000000+6 4.922900+0 1.000000+7 5.566600+0 1.250000+7 7.203100+0 1.500000+7 8.910300+0 1.750000+7 1.056700+1 2.000000+7 1.219900+1 2.250000+7 1.376100+1 2.500000+7 1.527200+1 2.875000+7 1.748380+1 3.000000+7 1.820200+1 3.437500+7 2.059980+1 4.000000+7 2.345300+1 4.500000+7 2.580170+1 4.750000+7 2.692740+1 5.000000+7 2.802900+1 5.750000+7 3.122100+1 6.000000+7 3.225700+1 6.750000+7 3.526390+1 7.000000+7 3.624000+1 8.000000+7 3.997300+1 9.000000+7 4.344200+1 1.000000+8 4.662500+1 1.125000+8 5.014530+1 1.250000+8 5.321800+1 1.359400+8 5.559180+1 1.437500+8 5.715300+1 1.453100+8 5.745140+1 1.500000+8 5.833700+1 1.617200+8 6.042780+1 1.750000+8 6.262160+1 1.753900+8 6.268240+1 1.938500+8 6.542380+1 2.000000+8 6.627000+1 2.218800+8 6.902430+1 2.341800+8 7.045630+1 2.447300+8 7.162970+1 2.500000+8 7.220400+1 2.625000+8 7.352480+1 2.859400+8 7.585660+1 3.000000+8 7.712500+1 3.125000+8 7.816520+1 3.500000+8 8.090400+1 3.875000+8 8.323240+1 4.000000+8 8.392600+1 4.125000+8 8.456380+1 4.234400+8 8.509490+1 4.425800+8 8.595120+1 4.500000+8 8.626640+1 5.000000+8 8.810900+1 5.250000+8 8.889740+1 5.437500+8 8.943420+1 5.718800+8 9.018870+1 6.000000+8 9.087700+1 6.250000+8 9.142790+1 6.625000+8 9.219390+1 7.000000+8 9.289800+1 7.750000+8 9.410430+1 8.000000+8 9.446400+1 8.359400+8 9.491550+1 8.660200+8 9.526300+1 9.138700+8 9.574450+1 9.500000+8 9.607120+1 1.000000+9 9.646400+1 1.089800+9 9.702970+1 1.165000+9 9.740120+1 1.243500+9 9.772760+1 1.250000+9 9.775140+1 1.307700+9 9.794670+1 1.376400+9 9.815010+1 1.438200+9 9.830770+1 1.500000+9 9.845300+1 1.562500+9 9.857790+1 1.617200+9 9.868330+1 2.000000+9 9.920600+1 2.139200+9 9.933300+1 2.272600+9 9.943250+1 2.357800+9 9.948770+1 2.522900+9 9.958940+1 2.677700+9 9.965880+1 2.750000+9 9.968880+1 2.890900+9 9.973970+1 3.086500+9 9.979080+1 3.325700+9 9.984920+1 3.535000+9 9.988130+1 3.718100+9 9.990270+1 4.038600+9 9.993770+1 4.278900+9 9.995730+1 4.639500+9 9.997220+1 5.000000+9 9.998600+1 5.375000+9 9.998800+1 5.703100+9 9.998960+1 6.277300+9 9.999230+1 6.708000+9 9.999410+1 7.354000+9 9.999670+1 8.000000+9 9.999900+1 9.000000+9 9.999950+1 1.00000+10 1.000000+2 1.27030+10 1.000000+2 1.55700+10 1.000000+2 1.85560+10 1.000000+2 2.46860+10 1.000000+2 3.41010+10 1.000000+2 1.00000+11 1.000000+2 1.68570+11 1.000000+2 3.34410+11 1.000000+2 1.39060+12 1.000000+2 1.17920+13 1.000000+2 1.00000+14 1.000000+2 3.16230+15 1.000000+2 1.00000+17 1.000000+2 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 93943 0 0.0 0.0 0.0 0.0 0.0 1.000000-6 0.0 2.117256-6 0.0 2.122468-6 8.478011-7 2.127679-6 1.677565-6 2.132890-6 3.064209-6 2.138102-6 5.166677-6 2.143313-6 8.041890-6 2.148525-6 1.155470-5 2.153736-6 1.532546-5 2.158947-6 1.876385-5 2.164159-6 2.120725-5 2.169370-6 2.212588-5 2.174581-6 2.130938-5 2.179793-6 1.894502-5 2.185004-6 1.554795-5 2.195427-6 8.237425-6 2.200638-6 5.317795-6 2.205850-6 3.169025-6 2.211061-6 1.743307-6 2.216272-6 8.852705-7 2.221484-6 0.0 2.687784-6 0.0 2.697707-6 3.067397+0 2.701015-6 4.076893+0 2.707631-6 7.446779+0 2.714246-6 1.255629+1 2.721689-6 2.060864+1 2.733279-6 3.611466+1 2.741122-6 4.597106+1 2.747932-6 5.174333+1 2.754394-6 5.363548+1 2.761626-6 5.085887+1 2.768530-6 4.434922+1 2.779589-6 2.975510+1 2.787018-6 2.001896+1 2.793634-6 1.292355+1 2.800249-6 7.701508+0 2.806865-6 4.236663+0 2.815135-6 1.614517+0 2.820096-6 0.0 2.838777-6 0.0 2.849258-6 1.719133-6 2.852752-6 2.284909-6 2.859739-6 4.173573-6 2.866726-6 7.037217-6 2.873714-6 1.095337-5 2.884194-6 1.830283-5 2.894675-6 2.555710-5 2.901663-6 2.888510-5 2.908650-6 3.013632-5 2.915637-6 2.902422-5 2.922625-6 2.580386-5 2.933106-6 1.861322-5 2.943586-6 1.121970-5 2.950574-6 7.243045-6 2.957561-6 4.316337-6 2.964548-6 2.374452-6 2.971536-6 1.205773-6 2.978523-6 0.0 3.149499-6 0.0 3.163065-6 6.914030+0 3.165003-6 7.891671+0 3.172755-6 1.441478+1 3.180507-6 2.430530+1 3.189229-6 3.989228+1 3.202810-6 6.990740+1 3.212000-6 8.898650+1 3.220523-6 1.004622+2 3.228088-6 1.035573+2 3.235924-6 9.859558+1 3.243917-6 8.625614+1 3.256121-6 5.978214+1 3.265780-6 3.875084+1 3.273533-6 2.501620+1 3.281285-6 1.490786+1 3.289037-6 8.200938+0 3.300665-6 2.084712+0 3.304541-6 0.0 3.342362-6 0.0 3.354702-6 5.660975-6 3.358816-6 7.524031-6 3.367042-6 1.374326-5 3.375269-6 2.317302-5 3.383496-6 3.606861-5 3.391723-6 5.182391-5 3.399950-6 6.873608-5 3.408176-6 8.415758-5 3.416403-6 9.511644-5 3.424630-6 9.923661-5 3.432857-6 9.557453-5 3.441084-6 8.497015-5 3.449310-6 6.973399-5 3.465764-6 3.694560-5 3.473991-6 2.385080-5 3.482218-6 1.421337-5 3.490444-6 7.818890-6 3.498671-6 3.970519-6 3.506898-6 0.0 3.763818-6 0.0 3.773083-6 6.86177-15 3.782347-6 1.35775-14 3.791611-6 2.48005-14 3.800875-6 4.18170-14 3.810139-6 6.50879-14 3.819403-6 9.35192-14 3.828668-6 1.24038-13 3.837932-6 1.51867-13 3.847196-6 1.71643-13 3.856460-6 1.79078-13 3.865724-6 1.72470-13 3.874988-6 1.53333-13 3.884252-6 1.25839-13 3.902781-6 6.66705-14 3.912045-6 4.30401-14 3.921309-6 2.56488-14 3.930573-6 1.41096-14 3.939837-6 7.16503-15 3.949102-6 0.0 4.366992-6 0.0 4.385802-6 1.218365-1 4.388490-6 1.390641-1 4.399238-6 2.540119-1 4.410659-6 4.431618-1 4.421408-6 6.848027-1 4.440498-6 1.219842+0 4.453654-6 1.568087+0 4.463731-6 1.758005+0 4.475467-6 1.827958+0 4.485901-6 1.754250+0 4.497661-6 1.525436+0 4.510018-6 1.198928+0 4.530857-6 1.420319+0 4.532591-6 1.460573+0 4.543692-6 1.951696+0 4.554624-6 2.849363+0 4.565896-6 4.231442+0 4.599277-6 9.489423+0 4.611034-6 1.070263+1 4.621227-6 1.109918+1 4.633228-6 1.055820+1 4.646536-6 8.977058+0 4.676382-6 4.136971+0 4.687483-6 2.670688+0 4.698583-6 1.591541+0 4.709684-6 8.755219-1 4.727882-6 1.605488-1 4.731885-6 3.808687-6 4.735067-6 3.192018-6 4.746253-6 1.755955-6 4.763033-6 4.463710-7 4.768627-6 0.0 4.906903-6 0.0 4.906961-6 2.60404-14 4.931117-6 2.48822-11 4.943195-6 4.54363-11 4.955692-6 7.80653-11 4.967890-6 1.618783-2 4.980088-6 3.203124-2 4.992285-6 5.850768-2 5.004483-6 9.865200-2 5.018272-6 1.622800-1 5.042975-6 5.758331-1 5.056174-6 8.916672-1 5.069690-6 1.328082+0 5.084891-6 1.945239+0 5.106664-6 2.918663+0 5.119825-6 3.403377+0 5.132861-6 3.679714+0 5.143661-6 3.712983+0 5.157758-6 3.431097+0 5.170781-6 2.932015+0 5.203549-6 1.340581+0 5.216773-6 8.408001-1 5.228253-6 5.157363-1 5.240605-6 2.880341-1 5.264755-6 2.484430-2 5.265308-6 2.153234-2 5.270487-6 5.112427-2 5.283365-6 1.295591-1 5.290672-6 1.769542-1 5.303630-6 3.055035-1 5.316589-6 4.909757-1 5.329547-6 7.338112-1 5.360630-6 1.419153+0 5.372340-6 1.624264+0 5.386344-6 1.759349+0 5.396492-6 1.774801+0 5.410111-6 1.678890+0 5.426569-6 1.435007+0 5.447398-6 1.071350+0 5.459133-6 9.144139-1 5.472091-6 8.218412-1 5.485050-6 8.115745-1 5.530577-6 1.080156+0 5.536281-6 1.110838+0 5.553102-6 1.136500+0 5.605954-6 1.029222+0 5.751166-6 9.685266-1 5.782210-6 9.541091-1 5.821751-6 9.962532-1 5.840713-6 1.043338+0 5.885253-6 1.069931+0 5.960470-6 9.268275-1 6.017893-6 8.817561-1 6.732313-6 7.012668-1 7.386891-6 5.817412-1 7.423255-6 2.101364+0 7.441929-6 3.411120+0 7.460771-6 5.433927+0 7.478893-6 8.078186+0 7.532914-6 1.769154+1 7.553086-6 1.995845+1 7.571268-6 2.056957+1 7.588561-6 1.973185+1 7.608341-6 1.722206+1 7.636963-6 1.210062+1 7.659619-6 8.032098+0 7.677801-6 5.374648+0 7.695983-6 3.418172+0 7.714165-6 2.119194+0 7.750529-6 5.289432-1 8.589422-6 4.330004-1 8.633469-6 6.600720-1 8.653828-6 8.347397-1 8.675930-6 1.125347+0 8.698732-6 1.539648+0 8.760497-6 2.866535+0 8.783286-6 3.170841+0 8.803814-6 3.252611+0 8.825123-6 3.115004+0 8.847318-6 2.764224+0 8.906549-6 1.466829+0 8.929631-6 1.062794+0 8.948832-6 8.093229-1 8.969974-6 6.235701-1 9.000572-6 4.593003-1 9.012258-6 7.658778-1 9.044880-6 1.784819+0 9.067400-6 2.962633+0 9.090572-6 4.849651+0 9.112543-6 7.286993+0 9.178495-6 1.632976+1 9.203668-6 1.858987+1 9.223138-6 1.933849+1 9.246297-6 1.868054+1 9.269528-6 1.661898+1 9.334203-6 8.004113+0 9.355033-6 5.617685+0 9.377186-6 3.695571+0 9.399340-6 2.382460+0 9.441727-6 8.550848-1 9.443648-6 7.891748-1 9.456691-6 7.780067-1 9.493885-6 8.310844-1 9.512981-6 8.772302-1 9.598683-6 1.182635+0 9.648591-6 1.468697+0 9.697931-6 1.785987+0 9.721341-6 1.876489+0 9.743853-6 1.895288+0 9.768149-6 1.824802+0 9.798613-6 1.647344+0 9.863252-6 1.165436+0 9.886505-6 1.022636+0 9.909970-6 9.037071-1 9.972804-6 6.768366-1 1.004300-5 5.390125-1 1.006241-5 5.092342-1 1.009397-5 4.885077-1 1.012318-5 4.957553-1 1.015621-5 5.318124-1 1.026191-5 7.097743-1 1.030899-5 7.547106-1 1.040000-5 7.739868-1 1.064177-5 7.451036-1 1.069429-5 8.436811-1 1.072035-5 9.296945-1 1.075309-5 1.109772+0 1.077787-5 1.294040+0 1.085550-5 1.987471+0 1.088177-5 2.147321+0 1.090753-5 2.206439+0 1.094087-5 2.119310+0 1.096507-5 1.966357+0 1.104776-5 1.230032+0 1.106086-5 1.125197+0 1.108705-5 9.632198-1 1.111325-5 8.491392-1 1.116563-5 7.046326-1 1.123373-5 7.328509-1 1.127905-5 8.026384-1 1.132387-5 9.262940-1 1.138902-5 1.135708+0 1.141651-5 1.197727+0 1.144400-5 1.230356+0 1.148230-5 1.202306+0 1.156366-5 1.030622+0 1.161364-5 9.733497-1 1.167200-5 9.830476-1 1.177149-5 1.006838+0 1.196805-5 9.662692-1 1.209659-5 8.980677-1 1.218614-5 8.284712-1 1.223127-5 8.113006-1 1.231618-5 8.345264-1 1.246090-5 9.047802-1 1.274588-5 8.969952-1 1.409582-5 8.203660-1 1.566139-5 7.961058-1 1.747012-5 8.310028-1 1.939757-5 9.298555-1 2.162798-5 1.120999+0 2.224224-5 1.188119+0 2.235173-5 3.034045+0 2.240647-5 4.555622+0 2.246122-5 6.859325+0 2.251597-5 1.000734+1 2.260850-5 1.669787+1 2.268937-5 2.218913+1 2.274375-5 2.458005+1 2.280183-5 3.188359+1 2.285781-5 3.707540+1 2.291380-5 4.501819+1 2.296978-5 5.760594+1 2.303155-5 7.858534+1 2.319723-5 1.525863+2 2.325878-5 1.705128+2 2.331342-5 1.750229+2 2.336683-5 1.676701+2 2.342609-5 1.472151+2 2.358563-5 6.942658+1 2.364162-5 4.716871+1 2.369760-5 3.072479+1 2.375359-5 1.963386+1 2.382357-5 1.079176+1 2.386556-5 5.181822+0 2.394834-5 4.182502+0 2.403102-5 4.585298+0 2.406623-5 4.850558+0 2.412518-5 6.113106+0 2.418413-5 8.468729+0 2.425537-5 1.277370+1 2.441991-5 2.509226+1 2.448254-5 2.854913+1 2.454148-5 3.002776+1 2.460131-5 2.954729+1 2.471186-5 2.506971+1 2.483059-5 1.976551+1 2.490802-5 1.781337+1 2.498216-5 1.727023+1 2.522354-5 1.714120+1 2.545196-5 1.591439+1 2.571418-5 1.448546+1 2.615000-5 1.344595+1 2.736022-5 1.121270+1 2.843606-5 9.976742+0 2.974192-5 9.050660+0 3.134500-5 8.417205+0 3.377598-5 8.055210+0 3.732431-5 8.276757+0 3.747529-5 8.299200+0 3.765977-5 1.590551+1 3.775778-5 2.277696+1 3.785002-5 3.250777+1 3.794499-5 4.619451+1 3.821898-5 9.388187+1 3.832081-5 1.049042+2 3.840821-5 1.079704+2 3.850352-5 1.031892+2 3.860197-5 9.080543+1 3.885890-5 4.612570+1 3.895114-5 3.311381+1 3.904338-5 2.359904+1 3.913563-5 1.740353+1 3.932011-5 1.038227+1 3.950172-5 1.159638+1 3.966375-5 1.342629+1 4.000087-5 1.794518+1 4.009404-5 1.863163+1 4.023849-5 1.878211+1 4.080659-5 1.698732+1 4.146483-5 1.670257+1 4.206129-5 1.561702+1 4.419141-5 1.493306+1 4.757357-5 1.507311+1 5.343967-5 1.649239+1 6.139480-5 1.946396+1 6.263801-5 2.071250+1 6.391344-5 2.079798+1 7.807904-5 2.615690+1 8.823865-5 2.852122+1 9.772372-5 2.907788+1 1.074842-4 2.797325+1 1.206939-4 2.430989+1 1.243833-4 2.315598+1 1.254509-4 2.375837+1 1.260637-4 2.477716+1 1.266710-4 3.035601+1 1.270146-4 3.520756+1 1.273233-4 4.146892+1 1.276802-4 5.129844+1 1.285352-4 7.880617+1 1.288961-4 8.578764+1 1.291896-4 8.726138+1 1.295199-4 8.338724+1 1.298222-4 7.571251+1 1.306972-4 4.512013+1 1.310462-4 3.545981+1 1.313177-4 2.973383+1 1.316667-4 2.501591+1 1.322649-4 1.988868+1 1.346987-4 1.923161+1 1.371876-4 1.933116+1 1.383659-4 1.887512+1 1.390620-4 2.236357+1 1.394282-4 2.565433+1 1.397798-4 3.045931+1 1.401883-4 3.822174+1 1.411071-4 5.840475+1 1.414954-4 6.360958+1 1.418498-4 6.466678+1 1.422251-4 6.155143+1 1.425766-4 5.551475+1 1.434698-4 3.541265+1 1.438104-4 2.916355+1 1.441509-4 2.455164+1 1.445517-4 2.114267+1 1.452034-4 1.767089+1 1.489544-4 1.743113+1 1.510249-4 1.791416+1 1.579873-4 1.640452+1 1.680000-4 1.448143+1 1.851399-4 1.000666+1 1.956110-4 7.753190+0 2.055136-4 6.093798+0 2.153300-4 4.842441+0 2.247599-4 3.949986+0 2.340000-4 3.312557+0 2.443106-4 2.818165+0 2.548768-4 2.496898+0 2.609409-4 2.386408+0 2.627510-4 2.433431+0 2.644775-4 2.637822+0 2.680370-4 3.381442+0 2.696456-4 3.515177+0 2.840000-4 3.412243+0 3.044402-4 3.486368+0 3.260000-4 3.710893+0 3.570685-4 4.183330+0 3.606132-4 4.411759+0 3.658652-4 5.272912+0 3.676756-4 5.374645+0 3.745156-4 5.088630+0 4.386904-4 5.833357+0 4.494272-4 6.224565+0 5.684895-4 7.099806+0 5.805312-4 7.892595+0 5.903845-4 7.913259+0 5.989996-4 8.368973+0 6.120162-4 8.194479+0 6.252500-4 8.587672+0 6.362109-4 9.408982+0 6.456542-4 1.070743+1 6.540918-4 1.246189+1 6.648114-4 1.558364+1 6.790191-4 2.114915+1 7.120000-4 3.572852+1 7.300000-4 4.148859+1 7.500000-4 4.545657+1 7.791178-4 4.799789+1 8.351285-4 4.842153+1 9.661368-4 4.521341+1 9.843372-4 4.841723+1 1.002287-3 4.610262+1 1.038039-3 4.818084+1 1.053778-3 4.940877+1 1.335142-3 4.162643+1 1.365910-3 4.307031+1 1.718848-3 3.436453+1 1.926138-3 3.093335+1 2.323688-3 2.511453+1 2.719337-3 2.075878+1 3.211469-3 1.684545+1 3.804450-3 1.350923+1 4.375009-3 1.123281+1 4.406648-3 1.167100+1 4.427817-3 1.267896+1 4.448252-3 1.456312+1 4.493233-3 2.034186+1 4.518559-3 2.250301+1 4.554872-3 2.355282+1 4.662189-3 2.339192+1 4.693644-3 2.413179+1 4.737811-3 2.700000+1 4.773012-3 2.935790+1 4.811131-3 3.041816+1 5.057155-3 2.904425+1 5.300537-3 2.714196+1 5.358355-3 2.790926+1 5.423913-3 2.971375+1 5.521478-3 2.958691+1 6.415856-3 2.352389+1 6.726670-3 2.214431+1 6.892512-3 2.231576+1 7.136177-3 2.142073+1 7.312548-3 2.129214+1 8.480813-3 1.715555+1 9.688355-3 1.407172+1 1.109973-2 1.146224+1 1.247416-2 9.591446+0 1.424392-2 7.827263+0 1.627043-2 6.364347+0 1.845082-2 5.231643+0 2.044041-2 4.484410+0 2.057963-2 4.641964+0 2.066666-2 4.993559+0 2.075034-2 5.619837+0 2.099147-2 8.324709+0 2.112057-2 9.240559+0 2.126117-2 9.552927+0 2.526547-2 7.236637+0 2.629468-2 6.801735+0 2.651394-2 7.008905+0 2.670885-2 7.666473+0 2.695381-2 8.692027+0 2.719589-2 9.138239+0 2.766020-2 9.720860+0 2.797169-2 1.005023+1 3.348916-2 7.734311+0 3.789818-2 6.398270+0 4.366943-2 5.121983+0 4.857621-2 4.325146+0 5.605426-2 3.436755+0 6.372770-2 2.793412+0 7.250420-2 2.261846+0 8.250076-2 1.829866+0 9.377139-2 1.480964+0 1.059721-1 1.210107+0 1.194488-1 9.925627-1 1.363433-1 7.975493-1 1.394531-1 7.750882-1 1.401926-1 7.999263-1 1.406848-1 8.563370-1 1.410779-1 9.429022-1 1.414548-1 1.072172+0 1.418961-1 1.285980+0 1.427473-1 1.833083+0 1.435877-1 2.347471+0 1.443293-1 2.625393+0 1.453247-1 2.755198+0 1.762039-1 2.092146+0 2.011871-1 1.715030+0 2.330184-1 1.378765+0 2.647037-1 1.142114+0 3.000000-1 9.525682-1 3.365327-1 8.081730-1 3.822875-1 6.777401-1 4.365158-1 5.680301-1 4.981845-1 4.791673-1 5.698771-1 4.061398-1 6.575514-1 3.433319-1 7.659134-1 2.895922-1 8.861352-1 2.481367-1 1.120601+0 1.937290-1 1.286622+0 1.651723-1 1.477239+0 1.408250-1 1.696098+0 1.200667-1 1.947381+0 1.023682-1 2.235892+0 8.727861-2 2.567148+0 7.441329-2 2.947480+0 6.344438-2 3.403145+0 5.375902-2 4.068655+0 4.373133-2 4.671441+0 3.728510-2 5.363532+0 3.178908-2 6.158159+0 2.710321-2 7.070513+0 2.310805-2 8.118035+0 1.970180-2 9.320751+0 1.679765-2 9.760024+0 1.592806-2 1.000000+1 3.342445-2 1 100000 7 0 2.570000+2 9707042 2 0.0 0.0 0.0 93944 0 0.0 0.0 0.0 0.0 0.0 1.000000-6-9.972413+1 2.327578-6-9.655658+1 2.582101-6-9.199870+1 2.657594-6-8.641020+1 2.684568-6-8.038287+1 2.716520-6-6.541143+1 2.725849-6-6.445179+1 2.733279-6-6.749203+1 2.741122-6-7.553652+1 2.751311-6-9.143662+1 2.754394-6-9.723399+1 2.761257-6-9.101343+1 2.771199-6-7.777649+1 2.779589-6-7.213320+1 2.787018-6-7.143771+1 2.800249-6-7.623464+1 2.828944-6-8.942234+1 2.870220-6-9.625568+1 2.926992-6-9.966231+1 3.072000-6-8.947386+1 3.117994-6-8.189182+1 3.140220-6-7.436266+1 3.149499-6-6.816108+1 3.165003-6-5.657245+1 3.173724-6-4.915659+1 3.183172-6-4.259172+1 3.190924-6-4.029914+1 3.196981-6-4.187331+1 3.201856-6-4.572791+1 3.209063-6-5.615990+1 3.217735-6-7.575640+1 3.226397-6-9.977153+1 3.237471-6-6.745544+1 3.244712-6-5.094621+1 3.251245-6-4.075219+1 3.256121-6-3.611533+1 3.261420-6-3.393764+1 3.265780-6-3.404521+1 3.272564-6-3.658581+1 3.281285-6-4.307711+1 3.294245-6-5.349883+1 3.304541-6-6.115421+1 3.313573-6-6.733353+1 3.336938-6-7.520616+1 3.383496-6-8.252753+1 3.482218-6-8.876001+1 3.763818-6-9.409133+1 4.535036-6-9.953706+1 4.583992-6-9.801514+1 4.608638-6-9.945221+1 4.656298-6-9.095151+1 4.698583-6-9.139060+1 4.792967-6-9.538555+1 5.112857-6-9.861555+1 5.203549-6-9.532104+1 5.372340-6-9.784186+1 6.083475-6-9.783525+1 7.238296-6-9.945041+1 7.388692-6-9.546751+1 7.488450-6-9.020517+1 7.532914-6-9.437285+1 7.562829-6-9.983940+1 7.614866-6-8.869145+1 7.657063-6-8.606562+1 7.813571-6-9.394768+1 8.411521-6-9.848979+1 8.710386-6-9.966352+1 8.969974-6-9.951987+1 9.126396-6-9.231263+1 9.178495-6-9.582639+1 9.212138-6-9.992227+1 9.282630-6-8.858318+1 9.334203-6-8.630540+1 9.524248-6-9.387003+1 9.798613-6-9.509826+1 1.090370-5-9.766442+1 1.700962-5-1.011180+2 2.014049-5-9.623347+1 2.130093-5-8.988453+1 2.188758-5-8.199632+1 2.217281-5-7.407518+1 2.237910-5-6.293613+1 2.257717-5-5.027530+1 2.272336-5-4.323332+1 2.277503-5-3.795821+1 2.283898-5-3.396220+1 2.290855-5-2.625764+1 2.297678-5-1.721419+1 2.298903-5-1.601337+1 2.303155-5-1.274295+1 2.304237-5-1.247467+1 2.306014-5-1.300571+1 2.307465-5-1.409987+1 2.308553-5-1.526158+1 2.310186-5-1.751879+1 2.312762-5-2.226797+1 2.315035-5-2.799125+1 2.317543-5-3.626180+1 2.319373-5-4.443148+1 2.323864-5-6.729380+1 2.329971-5-1.056414+2 2.332456-5-8.827895+1 2.336307-5-6.421716+1 2.337874-5-5.469057+1 2.342609-5-3.003704+1 2.344106-5-2.383040+1 2.345708-5-1.832038+1 2.347016-5-1.447449+1 2.347997-5-1.192518+1 2.349469-5-8.593152+0 2.350941-5-5.804060+0 2.351893-5-4.286693+0 2.353561-5-2.215881+0 2.354811-5-1.148100+0 2.355749-5-6.357476-1 2.357156-5-3.952429-1 2.357860-5-5.752575-1 2.358563-5-1.157233+0 2.361362-5-3.389474+0 2.362762-5-4.766907+0 2.363462-5-5.679057+0 2.364861-5-8.314064+0 2.368560-5-1.402615+1 2.377283-5-3.089328+1 2.384457-5-4.243111+1 2.388256-5-5.094239+1 2.395868-5-6.242806+1 2.414544-5-8.173476+1 2.427177-5-9.040351+1 2.439318-5-9.224277+1 2.453262-5-8.579196+1 2.464729-5-7.915384+1 2.477871-5-7.689204+1 2.503999-5-8.178704+1 2.673506-5-8.738023+1 3.482973-5-1.002850+2 3.574512-5-1.023385+2 3.680888-5-9.504584+1 3.724826-5-8.722469+1 3.744204-5-7.989903+1 3.786083-5-5.360914+1 3.796091-5-5.068308+1 3.803123-5-5.219741+1 3.811887-5-5.818908+1 3.818710-5-6.617981+1 3.830204-5-8.809969+1 3.837242-5-1.041367+2 3.852364-5-6.891295+1 3.861757-5-5.223596+1 3.867972-5-4.510418+1 3.874326-5-4.037176+1 3.881012-5-3.793560+1 3.885890-5-3.824580+1 3.893961-5-4.103315+1 3.904338-5-4.768356+1 3.916051-5-5.616896+1 3.932011-5-6.634993+1 3.942951-5-7.294048+1 3.966375-5-8.055077+1 3.996310-5-8.400991+1 4.058361-5-8.335003+1 4.339787-5-8.763186+1 5.343967-5-9.079111+1 6.458309-5-9.028318+1 8.823865-5-8.128625+1 1.098353-4-7.191785+1 1.185010-4-7.154842+1 1.206939-4-7.258597+1 1.236906-4-6.670340+1 1.251458-4-6.053931+1 1.259222-4-5.484093+1 1.263659-4-4.967301+1 1.273912-4-3.929909+1 1.277331-4-3.836807+1 1.279923-4-4.024338+1 1.282520-4-4.422624+1 1.285039-4-5.073329+1 1.288270-4-6.305309+1 1.289970-4-7.057570+1 1.295508-4-4.535724+1 1.298222-4-3.552130+1 1.300767-4-2.910186+1 1.302343-4-2.639083+1 1.303870-4-2.487985+1 1.306130-4-2.411361+1 1.309687-4-2.616010+1 1.313177-4-3.046209+1 1.317346-4-3.618276+1 1.322484-4-4.245052+1 1.326383-4-4.684526+1 1.335630-4-5.245257+1 1.353326-4-5.891931+1 1.377842-4-6.650902+1 1.384031-4-7.092928+1 1.398578-4-5.942066+1 1.402956-4-5.842454+1 1.407264-4-6.120848+1 1.410817-4-6.691848+1 1.412546-4-7.091959+1 1.418181-4-5.499090+1 1.423121-4-4.107096+1 1.426571-4-3.385482+1 1.429701-4-2.998203+1 1.432590-4-2.824779+1 1.434698-4-2.827941+1 1.438104-4-2.988513+1 1.453620-4-4.250499+1 1.463564-4-4.678238+1 1.483618-4-5.085150+1 1.510249-4-5.280473+1 1.619531-4-5.451949+1 1.888690-4-5.519606+1 2.715910-4-6.532319+1 5.109347-4-7.248373+1 5.927584-4-7.914566+1 6.330000-4-8.582153+1 6.790191-4-9.663049+1 7.060000-4-9.598086+1 7.981981-4-7.365881+1 8.655766-4-6.376323+1 9.426041-4-5.738863+1 9.843372-4-5.655509+1 1.008211-3-5.655070+1 1.050075-3-5.282409+1 1.067301-3-5.175303+1 1.099843-3-4.812017+1 1.185945-3-4.253264+1 1.299882-3-3.799257+1 1.365910-3-3.731037+1 1.404648-3-3.463578+1 1.513562-3-3.085055+1 1.683931-3-2.734859+1 1.878042-3-2.479262+1 1.979818-3-2.369992+1 2.216282-3-2.172627+1 2.583300-3-2.036189+1 3.037479-3-2.017366+1 3.534338-3-2.132240+1 3.917489-3-2.347391+1 4.164310-3-2.611386+1 4.302487-3-2.878041+1 4.375009-3-3.121037+1 4.427817-3-3.455767+1 4.481500-3-3.867473+1 4.511311-3-3.852031+1 4.591937-3-3.342916+1 4.641808-3-3.230343+1 4.707342-3-3.308927+1 4.751199-3-3.388791+1 4.786618-3-3.278660+1 4.874429-3-2.768328+1 4.965880-3-2.475587+1 5.100093-3-2.215802+1 5.240527-3-2.084643+1 5.321852-3-2.112229+1 5.390064-3-2.152201+1 5.445264-3-2.015901+1 5.521478-3-1.797661+1 5.651580-3-1.588923+1 5.841731-3-1.391612+1 6.113488-3-1.204452+1 6.415856-3-1.076811+1 6.641822-3-1.039516+1 6.781953-3-1.059007+1 6.987152-3-9.436970+0 7.204115-3-9.042871+0 7.358971-3-8.160648+0 7.691581-3-7.094345+0 8.110778-3-6.251606+0 8.660544-3-5.520224+0 9.450801-3-4.893307+0 1.030860-2-4.559815+0 1.152137-2-4.419615+0 1.304325-2-4.537652+0 1.494175-2-4.956171+0 1.690015-2-5.654020+0 1.845082-2-6.509840+0 1.943190-2-7.392023+0 2.000998-2-8.265787+0 2.036767-2-9.231275+0 2.057963-2-1.034255+1 2.082051-2-1.192728+1 2.092863-2-1.200815+1 2.107952-2-1.118230+1 2.132681-2-9.444996+0 2.154757-2-8.542291+0 2.192684-2-7.660930+0 2.250943-2-6.886038+0 2.327735-2-6.336875+0 2.433587-2-6.034555+0 2.526547-2-6.137783+0 2.593356-2-6.541877+0 2.629468-2-7.090454+0 2.670885-2-8.190274+0 2.688164-2-8.207766+0 2.729822-2-7.388248+0 2.766020-2-6.981100+0 2.823203-2-5.695786+0 2.875707-2-4.979784+0 2.960282-2-4.252742+0 3.084765-2-3.541777+0 3.223970-2-3.001484+0 3.388947-2-2.561094+0 3.604239-2-2.181187+0 3.891905-2-1.854326+0 4.146443-2-1.676791+0 4.451393-2-1.552694+0 4.857621-2-1.479415+0 5.433563-2-1.463556+0 6.647975-2-1.583927+0 1.016450-1-2.142060+0 1.194488-1-2.518287+0 1.293512-1-2.854873+0 1.350637-1-3.196829+0 1.382923-1-3.554700+0 1.400015-1-3.928784+0 1.420745-1-4.681639+0 1.428894-1-4.733541+0 1.440041-1-4.387857+0 1.453247-1-3.845942+0 1.468675-1-3.448190+0 1.495733-1-3.063730+0 1.536150-1-2.718337+0 1.597059-1-2.402656+0 1.683188-1-2.128298+0 1.808825-1-1.893861+0 2.011871-1-1.695652+0 2.245604-1-1.583450+0 2.647037-1-1.508881+0 3.664904-1-1.499173+0 8.091014-1-1.580339+0 2.451607+0-1.608726+0 7.403736+0-1.620284+0 1.000000+1-1.617998+0 1 PyMca5-5.2.2/PyMca5/EPDL97/GenerateEADLShellRadiativeRates.py0000644000276300001750000001321613136054446023310 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__= "Generate specfiles with EADL97 shell transition probabilities" import os import sys import EADLParser Elements = ['H', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr', 'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe', 'Cs', 'Ba', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn', 'Fr', 'Ra', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt'] def getHeader(filename): text = '#F %s\n' % filename text += '#U00 This file is a conversion to specfile format of \n' text += '#U01 directly extracted EADL97 radiative transition probabilities.\n' text += '#U02 EADL itself can be found at:\n' text += '#U03 http://www-nds.iaea.org/epdl97/libsall.htm\n' text += '#U04 The code used to generate this file has been:\n' text += '#U05 %s\n' % os.path.basename(__file__) text += '#U06\n' text += '\n' return text if __name__ == "__main__": shellList = EADLParser.getBaseShellList() workingShells = ['K', 'L1', 'L2', 'L3', 'M1', 'M2', 'M3', 'M4', 'M5'] for shell in workingShells: fname = "EADL97_%sShellRadiativeRates.dat" % shell[0] print("fname = %s" % fname) if shell in ['K', 'L1', 'M1']: if os.path.exists(fname): os.remove(fname) nscan = 0 outfile = open(fname, 'wb') if sys.version < '3.0': outfile.write(getHeader(fname)) else: outfile.write(getHeader(fname).encode('UTF-8')) nscan += 1 for i in range(1,101): print("Z = %d, Element = %s" % (i, Elements[i-1])) element = Elements[i-1] try: ddict = EADLParser.getRadiativeTransitionProbabilities(\ Elements.index(element)+1, shell=shell) print("%s Shell radiative emission probabilities " % shell) except IOError: #print "IOError" #continue pass for key in shellList: if key not in ddict: ddict[key] = [0.0, 0.0] if i == 1: text = '#S %d %s emission rates\n' % (nscan, shell) text += '#N %d\n' % (2+len(shellList)-1) #generate the labels text += '#L Z TOTAL' for key in shellList: tmpKey = key.split()[0] if tmpKey in workingShells: if workingShells.index(tmpKey) <= workingShells.index(shell): continue text += ' %s%s' % (shell, tmpKey) text += '\n' else: text = '' total = 0.0 for key in shellList: total += ddict[key][0] text += '%d %.7E' % (i, total) for key in shellList: tmpKey = key.split()[0] if tmpKey in workingShells: if workingShells.index(tmpKey) <= workingShells.index(shell): continue text += ' %.7E' % ddict[key][0] text += '\n' if sys.version < '3.0': outfile.write(text) else: outfile.write(text.encode('UTF-8')) if sys.version < '3.0': outfile.write('\n') else: outfile.write('\n'.encode('UTF-8')) if sys.version < '3.0': outfile.write('\n') else: outfile.write('\n'.encode('UTF-8')) outfile.close() PyMca5-5.2.2/PyMca5/EPDL97/GenerateEADLShellNonradiativeRates.py0000644000276300001750000001773013136054446024030 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__= "Generate specfiles with EADL97 shell transition probabilities" import os import sys import EADLParser Elements = ['H', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr', 'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe', 'Cs', 'Ba', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn', 'Fr', 'Ra', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt'] def getHeader(filename): text = '#F %s\n' % filename text += '#U00 This file is a conversion to specfile format of \n' text += '#U01 directly extracted EADL97 nonradiative transition probabilities.\n' text += '#U02 EADL itself can be found at:\n' text += '#U03 http://www-nds.iaea.org/epdl97/libsall.htm\n' text += '#U04 The code used to generate this file has been:\n' text += '#U05 %s\n' % os.path.basename(__file__) text += '#U06\n' text += '\n' return text if __name__ == "__main__": shellList = EADLParser.getBaseShellList() workingShells = ['K', 'L1', 'L2', 'L3', 'M1', 'M2', 'M3', 'M4', 'M5'] for shell in workingShells: fname = "EADL97_%sShellNonradiativeRates.dat" % shell[0] print("fname = %s" % fname) if shell in ['K', 'L1', 'M1']: if os.path.exists(fname): os.remove(fname) nscan = 0 outfile = open(fname, 'wb') tmpText = getHeader(fname) if sys.version < '3.0': outfile.write(tmpText) else: outfile.write(tmpText.encode('UTF-8')) nscan += 1 for i in range(1,101): print("Z = %d, Element = %s" % (i, Elements[i-1])) element = Elements[i-1] ddict = {} for key0 in shellList: tmpKey = key0.split()[0] if tmpKey in workingShells: if workingShells.index(tmpKey) <= workingShells.index(shell): continue for key1 in shellList: tmpKey = key1.split()[0] if tmpKey in workingShells: if workingShells.index(tmpKey) <= workingShells.index(shell): continue key = "%s-%s%s" % (shell, key0.split()[0], key1.split()[0]) if shell in [key0.split()[0], key1.split()[0]]: continue ddict[key] = [0.0, 0.0] try: ddict = EADLParser.getNonradiativeTransitionProbabilities(\ Elements.index(element)+1, shell=shell) print("%s Shell nonradiative emission probabilities " % shell) except IOError: #This happens when reading elements not presenting the transitions pass #continue if i == 1: #generate the labels nTransitions = 0 tmpText = '#L Z TOTAL' for key0 in workingShells: tmpKey = key0.split()[0] if tmpKey in workingShells: if workingShells.index(tmpKey) <= workingShells.index(shell): continue for key1 in shellList: tmpKey = key1.split()[0] if tmpKey in workingShells: if workingShells.index(tmpKey) <= workingShells.index(shell): continue key = "%s-%s%s" % (shell, key0.split()[0], key1.split()[0]) tmpText += ' %s' % (key) nTransitions += 1 text = '#S %d %s-Shell nonradiative rates\n' % (nscan, shell) text += '#N %d\n' % (2 + nTransitions) text += tmpText + '\n' else: text = '' # this loop calculates the totals, because it cannot be deduced from the subset # transitions written in the file total = 0.0 for key0 in shellList: tmpKey = key0.split()[0] if tmpKey in workingShells: if workingShells.index(tmpKey) <= workingShells.index(shell): continue for key1 in shellList: tmpKey = key1.split()[0] if tmpKey in workingShells: if workingShells.index(tmpKey) <= workingShells.index(shell): continue key = "%s-%s%s" % (shell, key0.split()[0], key1.split()[0]) total += ddict.get(key, [0.0, 0.0])[0] text += '%d %.7E' % (i, total) for key0 in workingShells: tmpKey = key0.split()[0] if tmpKey in workingShells: if workingShells.index(tmpKey) <= workingShells.index(shell): continue for key1 in shellList: tmpKey = key1.split()[0] if tmpKey in workingShells: if workingShells.index(tmpKey) <= workingShells.index(shell): continue key = "%s-%s%s" % (shell, key0.split()[0], key1.split()[0]) valueToWrite = ddict.get(key, [0.0, 0.0])[0] if valueToWrite == 0.0: text += ' 0.0' else: text += ' %.7E' % valueToWrite text += '\n' if sys.version < '3.0': outfile.write(text) else: outfile.write(text.encode('UTF-8')) if sys.version < '3.0': outfile.write('\n') else: outfile.write('\n'.encode('UTF-8')) if sys.version < '3.0': outfile.write('\n') else: outfile.write('\n'.encode('UTF-8')) outfile.close() PyMca5-5.2.2/PyMca5/EPDL97/__init__.py0000644000276300001750000000466513136054446017057 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Software Group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """ These modules allow to parse the Evaluated Photon Data Library files. The modules to use are: EADLParser EPDL97Parser The converted files used by PyMca can be obtained using the scripts: - GenerateEADLBindingEnergies.py - GenerateEADLShellConstants.py - GenerateEADLShellNonradiativeRates.py - GenerateEADLShellRadiativeRates.py - GenerateEPDL97CrossSections.py - GenerateEPDL97TotalCrossSections.py Those scripts can be found in your EPDL97 installation directory: .. code-block:: python import os from PyMca5 import EPDL97 print(os.path.dirname(EPDL97.__file__)) """ __version__ = '1.0' # The parsing modules # force the import here in order to see the available # modules when doing from PyMca5 import EADL97 # followed by dir(EADL97) in an interactive session. from . import EADLParser, EADLSubshells, EPDL97Parser PyMca5-5.2.2/PyMca5/EPDL97/EADLSubshells.py0000644000276300001750000000752613136054446017711 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__="Translation from EADL index to actual shell (Table VI)" SHELL_LIST = ['K (1s1/2)', 'L (2)', 'L1 (2s1/2)', 'L23 (2p)', 'L2 (2p1/2)', 'L3 (2p3/2)', 'M (3)', 'M1 (3s1/2)', 'M23 (3p)', 'M2 (3p1/2)', 'M3 (3p3/2)', 'M45 (3d)', 'M4 (3d3/2)', 'M5 (3d5/2)', 'N (4)', 'N1 (4s1/2)', 'N23 (4p)', 'N2 (4p1/2)', 'N3 (4p3/2)', 'N45 (4d)', 'N4 (4d3/2)', 'N5 (4d5/2)', 'N67 (4f)', 'N6 (4f5/2)', 'N7 (4f7/2)', 'O (5)', 'O1 (5s1/2)', 'O23 (5p)', 'O2 (5p1/2)', 'O3 (5p3/2)', 'O45 (5d)', 'O4 (5d3/2)', 'O5 (5d5/2)', 'O67 (5f)', 'O6 (5f5/2)', 'O7 (5f7/2)', 'O89 (5g)', 'O8 (5g7/2)', 'O9 (5g9/2)', 'P (6)', 'P1 (6s1/2)', 'P23 (6p)', 'P2 (6p1/2)', 'P3 (6p3/2)', 'P45 (6d)', 'P4 (6d3/2)', 'P5 (6d5/2)', 'P67 (6f)', 'P6 (6f5/2)', 'P7 (6f7/2)', 'P89 (6g)', 'P8 (6g7/2)', 'P9 (6g9/2)', 'P1011 (6h)', 'P10 (6h9/2)', 'P11 (6h11/2)', 'Q (7)', 'Q1 (7s1/2)', 'Q23 (7p)', 'Q2 (7p1/2)', 'Q3 (7p3/2)'] def getSubshellFromValue(value): idx = int(value) - 1 if idx < 0: raise IndexError("Invalid EADL Atomic Subshell Designator") return SHELL_LIST[idx] def getValueFromSubshell(subshell): """ Returns the float value associated to the respective shell or subshell """ if subshell.startswith('K'): return 1.0 #cleanup subshell wshell = subshell.replace(" ","") wshell = wshell.split("(")[0] wshell = wshell.upper() #test i = 0 for shell in SHELL_LIST: i += 1 if wshell == shell.split(" ")[0]: return float(i) raise ValueError("Invalid shell name %s" % subshell) PyMca5-5.2.2/PyMca5/EPDL97/GenerateEPDL97CrossSections.py0000644000276300001750000003226513136054446022416 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__= "Generate specfile from all EPL97 cross sections in keV and barn" import os import sys import EADLSubshells import EPDL97Parser as EPDLParser Elements = EPDLParser.Elements AVOGADRO_NUMBER = EPDLParser.AVOGADRO_NUMBER import numpy log = numpy.log exp = numpy.exp getTotalCoherentCrossSection = EPDLParser.getTotalCoherentCrossSection getTotalIncoherentCrossSection = EPDLParser.getTotalIncoherentCrossSection getTotalPhotoelectricCrossSection = EPDLParser.getTotalPhotoelectricCrossSection getPartialPhotoelectricCrossSection = EPDLParser.getPartialPhotoelectricCrossSection getTotalPairCrossSection = EPDLParser.getTotalPairCrossSection getTotalTripletCrossSection = EPDLParser.getTotalTripletCrossSection def getHeader(filename): text = '#F %s\n' % filename text += '#U00 This file is a direct conversion to specfile format of \n' text += '#U01 the original EPDL97 photoelectric cross sections contained\n' text += '#U02 in the EPDL97.DAT file from the library.\n' text += '#U03 EPDL97 itself can be found at:\n' text += '#U04 http://www-nds.iaea.org/epdl97/libsall.htm\n' text += '#U05\n' text += '#U06 The command used to generate this file has been:\n' if len(sys.argv) > 3: text += '#U07 %s %s %s %s\n' % (os.path.basename(__file__),\ sys.argv[1], sys.argv[2], sys.argv[3]) else: text += '#U07 %s %s %s\n' % (os.path.basename(__file__),\ sys.argv[1], sys.argv[2]) text += '\n' return text if __name__ == "__main__": if len(sys.argv) < 3: print("Usage:") print("python EPDL97GenerateCrossSections SPEC_output_filename barns_flag [short_output_flag]") sys.exit(0) SHORT_OUTPUT_FLAG = 0 if len(sys.argv) > 3: SHORT_OUTPUT_FLAG = int(sys.argv[3]) fname = sys.argv[1] if os.path.exists(fname): os.remove(fname) if int(sys.argv[2]): BARNS = True else: BARNS = False print("BARNS = %s" % BARNS) outfile = open(fname, 'wb') outfile.write(getHeader(fname)) shells = EADLSubshells.SHELL_LIST bad_shells = ['L (', 'L23', 'M (', 'M23', 'M45', 'N (', 'N23', 'N45', 'N67', 'O (', 'O23', 'O45', 'O67', 'O89', 'P (', 'P23', 'P45', 'P67', 'P89', 'P101', 'Q (', 'Q23', 'Q45', 'Q67'] LONG_LABELS = True #find the first element for which EPDL has N1 or P1 shell attenuation data if SHORT_OUTPUT_FLAG: testShell = "N1" else: testShell = "P1" z = 0 i = 0 while z == 0: i += 1 try: dummy = getPartialPhotoelectricCrossSection(i, testShell, getmode=True) z = i except IOError: pass firstNonZeroPhotoelectric = z for i in range(1, 101): print("i = %d element = %s" % (i, Elements[i-1])) #coherent energy_cohe, value_cohe, mode_cohe = getTotalCoherentCrossSection(i, getmode=True) #incoherent energy_incohe, value_incohe, mode_incohe = getTotalIncoherentCrossSection(i, getmode=True) #photoelectric energy_photo, value_photo, mode_photo = getTotalPhotoelectricCrossSection(i, getmode=True) #check to see the energies: #for j in range(10): # print energy_cohe[j], energy_incohe[j], energy_photo[j] #to select an appropriate energy grid as close as possible to the original #while keeping in mind the PyMca goals, I use the coherent energy grid till #the non-zero first value of the photoelectric cross section. At that point, #I use the photoelectric energy grid. energy = numpy.concatenate((energy_cohe[energy_cohe=energy_photo[0]] = value_photo[:] #convert to keV and cut at 500 keV energy *= 1000. indices = numpy.nonzero(energy<=500.) energy = energy[indices] photo = photo[indices] cohe = cohe[indices] incohe = incohe[indices] #I cut at 500 keV, I do not need to take the pair production total = photo + cohe + incohe #now I am ready to write a Specfile ele = Elements[i-1] text = '#S %d %s\n' % (i, ele) text += '#N %d\n' % (7+len(photo_label_list)) labels = '#L PhotonEnergy[keV]' labels += ' Rayleigh(coherent)[barn/atom]' labels += ' Compton(incoherent)[barn/atom]' labels += ' CoherentPlusIncoherent[barn/atom]' labels += ' Photoelectric[barn/atom]' if LONG_LABELS: for label in photo_long_label_list: labels += " "+label.replace(" ","")+"[barn/atom]" else: for label in photo_label_list: labels += " "+label+"[barn/atom]" labels += " AllOthers[barn/atom]" labels += ' TotalCrossSection[barn/atom]\n' if not BARNS: labels = labels.replace("barn/atom", "cm2/g") factor = (1.0E-24*AVOGADRO_NUMBER)/EPDLParser.getAtomicWeights()[i-1] else: factor = 1.0 text += labels if 0: fformat = "%g %g %g %g %g" else: fformat = "%.7E %.6E %.6E %.6E %.6E" outfile.write(text) cohe *= factor incohe *= factor photo *= factor total *= factor for n in range(len(energy)): if energy[n] == (1000. * energy_photo[0]): # one additional line line = fformat % (energy[n], cohe[n], incohe[n], cohe[n]+incohe[n], 0.0) for l in photo_label_list: line += " 0." line += " 0.0 %.6E\n" % (cohe[n]+incohe[n]) outfile.write(line) line = fformat % (energy[n], cohe[n], incohe[n], cohe[n]+incohe[n], photo[n]) d = 0.0 for l in photo_label_list: a = photo_dict[l]['value'][n] * factor #this tiny modification saves 20 Mbytes ... if a > 0.0: line += " %.6E" % a else: line += " 0." d += a restOfShells = photo[n]-d if (i < firstNonZeroPhotoelectric) or (restOfShells < 1.0E-7): line += " 0.0 %.6E\n" % (total[n]) else: line += " %.6E %.6E\n" % (restOfShells, total[n]) outfile.write(line) outfile.write('\n') outfile.close() PyMca5-5.2.2/PyMca5/EPDL97/EADL.DAT0000644000276300001750002503023413136054446016003 0ustar solebliss00000000000000 1000 0 0 1.00790+ 0 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.00000+ 0 1 1000 0 0 1.00790+ 0 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.36100- 5 1 1000 0 0 1.00790+ 0 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.36100- 5 1 1000 0 0 1.00790+ 0 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.93560- 9 1 1000 0 0 1.00790+ 0 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.36100- 5 1 2000 0 0 4.00260+ 0 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 1 2000 0 0 4.00260+ 0 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.34200- 5 1 2000 0 0 4.00260+ 0 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.93600- 5 1 2000 0 0 4.00260+ 0 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.97370- 9 1 2000 0 0 4.00260+ 0 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.34200- 5 1 3000 0 0 6.94100+ 0 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 1.00000+ 0 1 3000 0 0 6.94100+ 0 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.98500- 5 3.00000+ 0 5.50000- 6 1 3000 0 0 6.94100+ 0 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.04250- 4 3.00000+ 0 6.61000- 6 1 3000 0 0 6.94100+ 0 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.94990- 9 3.00000+ 0 1.98640- 8 1 3000 0 0 6.94100+ 0 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.98500- 5 3.00000+ 0 5.50000- 6 1 4000 0 0 9.01218+ 0 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 1 4000 0 0 9.01218+ 0 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.18360- 4 3.00000+ 0 8.18000- 6 1 4000 0 0 9.01218+ 0 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.92040- 4 3.00000+ 0 1.55500- 5 1 4000 0 0 9.01218+ 0 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.15790- 9 3.00000+ 0 1.38130- 8 1 4000 0 0 9.01218+ 0 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.18360- 4 3.00000+ 0 8.18000- 6 1 5000 0 0 1.08100+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 3.30000- 1 6.00000+ 0 6.70000- 1 1 5000 0 0 1.08100+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.95610- 4 3.00000+ 0 1.25800- 5 5.00000+ 0 6.67000- 6 6.00000+ 0 6.66000- 6 1 5000 0 0 1.08100+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.06230- 4 3.00000+ 0 3.05300- 5 5.00000+ 0 2.17300- 5 6.00000+ 0 2.17100- 5 1 5000 0 0 1.08100+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.70330- 9 3.00000+ 0 1.00860- 8 5.00000+ 0 1.19360- 8 6.00000+ 0 1.19440- 8 1 5000 0 0 1.08100+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.95610- 4 3.00000+ 0 1.25800- 5 5.00000+ 0 6.67000- 6 6.00000+ 0 6.66000- 6 1 6000 0 0 1.20110+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 6.70000- 1 6.00000+ 0 1.33000+ 0 1 6000 0 0 1.20110+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.91010- 4 3.00000+ 0 1.75600- 5 5.00000+ 0 8.99000- 6 6.00000+ 0 8.98000- 6 1 6000 0 0 1.20110+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.47020- 4 3.00000+ 0 4.83600- 5 5.00000+ 0 3.69600- 5 6.00000+ 0 3.69000- 5 1 6000 0 0 1.20110+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.40680- 9 3.00000+ 0 8.07840- 9 5.00000+ 0 9.13650- 9 6.00000+ 0 9.14420- 9 1 6000 0 0 1.20110+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.03350-10 1 6000 0 0 1.20110+ 1 910426 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.13360- 8 1 6000 0 0 1.20110+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.85395- 5 3.00000+ 0 1.75600- 5 5.00000+ 0 8.99000- 6 6.00000+ 0 8.98000- 6 1 6000 0 7 1.20110+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.68208- 3 1 6000 0 7 1.20110+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.74393- 7 1 6000 0 9 1.20110+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.98318- 1 1 6000 0 9 1.20110+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.61996- 4 1 6000 0 7 1.20110+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 5.61488- 4 2.82020- 4 6.00000+ 0 1.12060- 3 2.82030- 4 1 6000 0 9 1.20110+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.13609- 1 2.55890- 4 3.00000+ 0 5.00000+ 0 1.36190- 1 2.64460- 4 3.00000+ 0 6.00000+ 0 2.71099- 1 2.64470- 4 5.00000+ 0 5.00000+ 0 4.20748- 3 2.73030- 4 5.00000+ 0 6.00000+ 0 1.10012- 1 2.73040- 4 6.00000+ 0 6.00000+ 0 6.32008- 2 2.73050- 4 1 7000 0 0 1.40067+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 1.00000+ 0 6.00000+ 0 2.00000+ 0 1 7000 0 0 1.40067+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.04850- 4 3.00000+ 0 2.31000- 5 5.00000+ 0 1.15000- 5 6.00000+ 0 1.14800- 5 1 7000 0 0 1.40067+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.14570- 4 3.00000+ 0 6.92400- 5 5.00000+ 0 5.51700- 5 6.00000+ 0 5.50300- 5 1 7000 0 0 1.40067+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.19830- 9 3.00000+ 0 6.78480- 9 5.00000+ 0 7.47220- 9 6.00000+ 0 7.47990- 9 1 7000 0 0 1.40067+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.30490-10 1 7000 0 0 1.40067+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.24050- 8 1 7000 0 0 1.40067+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.36090- 5 3.00000+ 0 2.31000- 5 5.00000+ 0 1.15000- 5 6.00000+ 0 1.14800- 5 1 7000 0 7 1.40067+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.27601- 3 1 7000 0 7 1.40067+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.28866- 6 1 7000 0 9 1.40067+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.96724- 1 1 7000 0 9 1.40067+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.69952- 4 1 7000 0 7 1.40067+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.09420- 3 3.93350- 4 6.00000+ 0 2.18181- 3 3.93370- 4 1 7000 0 9 1.40067+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 2.65388- 1 3.58650- 4 3.00000+ 0 5.00000+ 0 1.29999- 1 3.70250- 4 3.00000+ 0 6.00000+ 0 2.58276- 1 3.70270- 4 5.00000+ 0 5.00000+ 0 8.15943- 3 3.81850- 4 5.00000+ 0 6.00000+ 0 2.12711- 1 3.81870- 4 6.00000+ 0 6.00000+ 0 1.22190- 1 3.81890- 4 1 8000 0 0 1.59994+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 1.33000+ 0 6.00000+ 0 2.67000+ 0 1 8000 0 0 1.59994+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.37280- 4 3.00000+ 0 2.92300- 5 5.00000+ 0 1.41900- 5 6.00000+ 0 1.41500- 5 1 8000 0 0 1.59994+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.09010- 4 3.00000+ 0 9.32800- 5 5.00000+ 0 7.63900- 5 6.00000+ 0 7.61200- 5 1 8000 0 0 1.59994+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.04300- 9 3.00000+ 0 5.86580- 9 5.00000+ 0 6.35620- 9 6.00000+ 0 6.36390- 9 1 8000 0 0 1.59994+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.23230-10 1 8000 0 0 1.59994+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.32560- 7 1 8000 0 0 1.59994+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.88517- 5 3.00000+ 0 2.92300- 5 5.00000+ 0 1.41900- 5 6.00000+ 0 1.41500- 5 1 8000 0 7 1.59994+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.70795- 3 1 8000 0 7 1.59994+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.98593- 6 1 8000 0 9 1.59994+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.94292- 1 1 8000 0 9 1.59994+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.95442- 4 1 8000 0 7 1.59994+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.90768- 3 5.23090- 4 6.00000+ 0 3.80027- 3 5.23130- 4 1 8000 0 9 1.59994+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 1.78644- 1 4.78820- 4 3.00000+ 0 5.00000+ 0 1.16224- 1 4.93860- 4 3.00000+ 0 6.00000+ 0 2.30418- 1 4.93900- 4 5.00000+ 0 5.00000+ 0 1.10822- 2 5.08900- 4 5.00000+ 0 6.00000+ 0 2.91115- 1 5.08940- 4 6.00000+ 0 6.00000+ 0 1.66809- 1 5.08980- 4 1 9000 0 0 1.89984+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 1.67000+ 0 6.00000+ 0 3.33000+ 0 1 9000 0 0 1.89984+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.88370- 4 3.00000+ 0 3.59300- 5 5.00000+ 0 1.70500- 5 6.00000+ 0 1.69800- 5 1 9000 0 0 1.89984+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.03040- 3 3.00000+ 0 1.20510- 4 5.00000+ 0 1.00660- 4 6.00000+ 0 1.00200- 4 1 9000 0 0 1.89984+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.23690-10 3.00000+ 0 5.17450- 9 5.00000+ 0 5.54140- 9 6.00000+ 0 5.55680- 9 1 9000 0 0 1.89984+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.75740- 9 1 9000 0 0 1.89984+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.81870- 7 1 9000 0 0 1.89984+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.44231- 5 3.00000+ 0 3.59300- 5 5.00000+ 0 1.70500- 5 6.00000+ 0 1.69800- 5 1 9000 0 7 1.89984+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.17584- 3 1 9000 0 7 1.89984+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.16035- 6 1 9000 0 9 1.89984+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.90824- 1 1 9000 0 9 1.89984+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.37787- 4 1 9000 0 7 1.89984+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 3.06841- 3 6.71320- 4 6.00000+ 0 6.10743- 3 6.71390- 4 1 9000 0 9 1.89984+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 1.25970- 1 6.16510- 4 3.00000+ 0 5.00000+ 0 1.03000- 1 6.35390- 4 3.00000+ 0 6.00000+ 0 2.03651- 1 6.35460- 4 5.00000+ 0 5.00000+ 0 1.30903- 2 6.54270- 4 5.00000+ 0 6.00000+ 0 3.46901- 1 6.54340- 4 6.00000+ 0 6.00000+ 0 1.98211- 1 6.54410- 4 1 10000 0 0 2.01790+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 1 10000 0 0 2.01790+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.58180- 4 3.00000+ 0 4.32300- 5 5.00000+ 0 2.00800- 5 6.00000+ 0 1.99600- 5 1 10000 0 0 2.01790+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.27900- 3 3.00000+ 0 1.50970- 4 5.00000+ 0 1.28010- 4 6.00000+ 0 1.27250- 4 1 10000 0 0 2.01790+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.28310-10 3.00000+ 0 4.63000- 9 5.00000+ 0 4.92350- 9 6.00000+ 0 4.93900- 9 1 10000 0 0 2.01790+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.36870- 9 1 10000 0 0 2.01790+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.39450- 7 1 10000 0 0 2.01790+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.04039- 5 3.00000+ 0 4.32300- 5 5.00000+ 0 2.00800- 5 6.00000+ 0 1.99600- 5 1 10000 0 7 2.01790+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.38730- 2 1 10000 0 7 2.01790+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.16280- 5 1 10000 0 9 2.01790+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.86127- 1 1 10000 0 9 2.01790+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.96148- 4 1 10000 0 7 2.01790+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 4.64329- 3 8.38100- 4 6.00000+ 0 9.22967- 3 8.38220- 4 1 10000 0 9 2.01790+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 9.30584- 2 7.71720- 4 3.00000+ 0 5.00000+ 0 9.21024- 2 7.94870- 4 3.00000+ 0 6.00000+ 0 1.81578- 1 7.94990- 4 5.00000+ 0 5.00000+ 0 1.45681- 2 8.18020- 4 5.00000+ 0 6.00000+ 0 3.85131- 1 8.18140- 4 6.00000+ 0 6.00000+ 0 2.19689- 1 8.18260- 4 1 11000 0 0 2.29898+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 1.00000+ 0 1 11000 0 0 2.29898+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.06400- 3 3.00000+ 0 6.44800- 5 5.00000+ 0 3.64200- 5 6.00000+ 0 3.62200- 5 8.00000+ 0 5.15000- 6 1 11000 0 0 2.29898+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.55510- 3 3.00000+ 0 1.96170- 4 5.00000+ 0 1.75990- 4 6.00000+ 0 1.74890- 4 8.00000+ 0 9.50000- 6 1 11000 0 0 2.29898+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.50690-10 3.00000+ 0 4.04690- 9 5.00000+ 0 4.03540- 9 6.00000+ 0 4.04310- 9 8.00000+ 0 2.13160- 8 1 11000 0 0 2.29898+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.75340- 9 3.00000+ 0 8.83460-12 1 11000 0 0 2.29898+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.82540- 7 3.00000+ 0 5.15280- 7 1 11000 0 0 2.29898+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.37067- 5 3.00000+ 0 4.14364- 5 5.00000+ 0 3.64200- 5 6.00000+ 0 3.62200- 5 8.00000+ 0 5.15000- 6 1 11000 0 7 2.29898+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00374- 2 3.00000+ 0 1.16019- 4 1 11000 0 7 2.29898+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.05412- 5 3.00000+ 0 3.27110- 9 1 11000 0 9 2.29898+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.42387+ 0 3.00000+ 0 9.99884- 1 1 11000 0 9 2.29898+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.69752- 4 3.00000+ 0 2.30403- 5 1 11000 0 7 2.29898+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 6.68996- 3 1.02758- 3 6.00000+ 0 1.32959- 2 1.02778- 3 1 11000 0 9 2.29898+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 8.70552- 2 9.35040- 4 3.00000+ 0 5.00000+ 0 8.90021- 2 9.63100- 4 3.00000+ 0 6.00000+ 0 1.75052- 1 9.63300- 4 3.00000+ 0 8.00000+ 0 5.73825- 3 9.94370- 4 5.00000+ 0 5.00000+ 0 1.46296- 2 9.91160- 4 5.00000+ 0 6.00000+ 0 3.82369- 1 9.91360- 4 5.00000+ 0 8.00000+ 0 2.69932- 3 1.02243- 3 6.00000+ 0 6.00000+ 0 2.18165- 1 9.91560- 4 6.00000+ 0 8.00000+ 0 5.30407- 3 1.02263- 3 1 11000 0 7 2.29898+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 3.80328- 5 2.80600- 5 6.00000+ 0 7.79865- 5 2.82600- 5 1 11000 0 9 2.29898+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 3.34898- 1 2.29100- 5 6.00000+ 0 8.00000+ 0 6.64986- 1 2.31100- 5 1 12000 0 0 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1 12000 0 0 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.29450- 3 3.00000+ 0 8.94600- 5 5.00000+ 0 5.65500- 5 6.00000+ 0 5.62400- 5 8.00000+ 0 6.89000- 6 1 12000 0 0 2.43050+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.85910- 3 3.00000+ 0 2.48340- 4 5.00000+ 0 2.28850- 4 6.00000+ 0 2.27220- 4 8.00000+ 0 1.90600- 5 1 12000 0 0 2.43050+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.86200-10 3.00000+ 0 3.60050- 9 5.00000+ 0 3.48120- 9 6.00000+ 0 3.49240- 9 8.00000+ 0 1.65310- 8 1 12000 0 0 2.43050+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.11440- 9 3.00000+ 0 1.10270-11 5.00000+ 0 1.14600-12 6.00000+ 0 1.15120-12 1 12000 0 0 2.43050+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.24460- 7 3.00000+ 0 1.12490- 6 5.00000+ 0 4.43530-10 6.00000+ 0 4.16320-10 1 12000 0 0 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.99038- 5 3.00000+ 0 2.05860- 5 5.00000+ 0 1.37800- 5 6.00000+ 0 1.37800- 5 8.00000+ 0 6.89000- 6 1 12000 0 7 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.77756- 2 3.00000+ 0 1.81564- 4 5.00000+ 0 3.41139- 6 6.00000+ 0 3.17959- 6 1 12000 0 7 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.42901- 5 3.00000+ 0 6.06587- 9 5.00000+ 0 1.69410-10 6.00000+ 0 1.56913-10 1 12000 0 9 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.34017+ 0 3.00000+ 0 1.98781+ 0 5.00000+ 0 9.99997- 1 6.00000+ 0 9.99997- 1 1 12000 0 9 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.23031- 3 3.00000+ 0 6.88679- 5 5.00000+ 0 4.27699- 5 6.00000+ 0 4.24599- 5 1 12000 0 7 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 9.27327- 3 1.23795- 3 6.00000+ 0 1.84189- 2 1.23826- 3 1 12000 0 9 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 8.23145- 2 1.11558- 3 3.00000+ 0 5.00000+ 0 8.60821- 2 1.14849- 3 3.00000+ 0 6.00000+ 0 1.68838- 1 1.14880- 3 3.00000+ 0 8.00000+ 0 1.26143- 2 1.19815- 3 5.00000+ 0 5.00000+ 0 1.44975- 2 1.18140- 3 5.00000+ 0 6.00000+ 0 3.75508- 1 1.18171- 3 5.00000+ 0 8.00000+ 0 5.99323- 3 1.23106- 3 6.00000+ 0 6.00000+ 0 2.14213- 1 1.18202- 3 6.00000+ 0 8.00000+ 0 1.17657- 2 1.23137- 3 8.00000+ 0 8.00000+ 0 4.81078- 4 1.28072- 3 1 12000 0 7 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 5.79260- 5 3.29100- 5 6.00000+ 0 1.20420- 4 3.32200- 5 1 12000 0 9 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 3.31220- 1 2.60200- 5 6.00000+ 0 8.00000+ 0 6.56590- 1 2.63300- 5 8.00000+ 0 8.00000+ 0 1.20110- 2 7.56800- 5 1 12000 0 7 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 5.45278-16 3.10000- 7 8.00000+ 0 3.41139- 6 4.96600- 5 1 12000 0 9 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 9.99997- 1 4.27700- 5 1 12000 0 7 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 3.17959- 6 4.93500- 5 1 12000 0 9 2.43050+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 9.99997- 1 4.24600- 5 1 13000 0 0 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 3.30000- 1 1.10000+ 1 6.70000- 1 1 13000 0 0 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.54990- 3 3.00000+ 0 1.19050- 4 5.00000+ 0 8.12000- 5 6.00000+ 0 8.07300- 5 8.00000+ 0 1.01600- 5 1.00000+ 1 4.88000- 6 1.10000+ 1 4.87000- 6 1 13000 0 0 2.69815+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.19100- 3 3.00000+ 0 3.07380- 4 5.00000+ 0 2.88300- 4 6.00000+ 0 2.85960- 4 8.00000+ 0 3.35300- 5 1.00000+ 1 1.83800- 5 1.10000+ 1 1.82400- 5 1 13000 0 0 2.69815+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.31760-10 3.00000+ 0 3.24100- 9 5.00000+ 0 3.06880- 9 6.00000+ 0 3.07960- 9 8.00000+ 0 1.29290- 8 1.00000+ 1 1.81770- 8 1.10000+ 1 1.82340- 8 1 13000 0 0 2.69815+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.38230- 8 3.00000+ 0 1.48830-11 5.00000+ 0 2.69150-12 6.00000+ 0 2.70920-12 1 13000 0 0 2.69815+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.65180- 7 3.00000+ 0 1.38950- 6 5.00000+ 0 5.71690- 9 6.00000+ 0 5.71420- 9 1 13000 0 0 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.46619- 5 3.00000+ 0 2.53270- 5 5.00000+ 0 1.58336- 5 6.00000+ 0 1.57959- 5 8.00000+ 0 1.01600- 5 1.00000+ 1 4.88000- 6 1.10000+ 1 4.87000- 6 1 13000 0 7 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.72847- 2 3.00000+ 0 2.70704- 4 5.00000+ 0 1.60532- 5 6.00000+ 0 1.50001- 5 1 13000 0 7 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.45949- 5 3.00000+ 0 1.12877- 8 5.00000+ 0 1.14042- 9 6.00000+ 0 1.05856- 9 1 13000 0 9 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.28748+ 0 3.00000+ 0 1.98063+ 0 5.00000+ 0 9.99984- 1 6.00000+ 0 9.99985- 1 1 13000 0 9 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.46064- 3 3.00000+ 0 9.37117- 5 5.00000+ 0 6.53653- 5 6.00000+ 0 6.49330- 5 1 13000 0 7 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.23699- 2 1.46870- 3 6.00000+ 0 2.45528- 2 1.46917- 3 1.00000+ 1 7.55854- 5 1.54502- 3 1.10000+ 1 1.50039- 4 1.54503- 3 1 13000 0 9 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 7.83944- 2 1.31180- 3 3.00000+ 0 5.00000+ 0 8.32180- 2 1.34965- 3 3.00000+ 0 6.00000+ 0 1.62725- 1 1.35012- 3 3.00000+ 0 8.00000+ 0 1.35884- 2 1.42069- 3 3.00000+ 0 1.00000+ 1 8.96794- 4 1.42597- 3 3.00000+ 0 1.10000+ 1 1.76485- 3 1.42598- 3 5.00000+ 0 5.00000+ 0 1.42920- 2 1.38750- 3 5.00000+ 0 6.00000+ 0 3.66942- 1 1.38797- 3 5.00000+ 0 8.00000+ 0 6.49294- 3 1.45854- 3 5.00000+ 0 1.00000+ 1 3.01318- 4 1.46382- 3 5.00000+ 0 1.10000+ 1 3.65883- 3 1.46383- 3 6.00000+ 0 6.00000+ 0 2.09226- 1 1.38844- 3 6.00000+ 0 8.00000+ 0 1.27063- 2 1.45901- 3 6.00000+ 0 1.00000+ 1 3.65189- 3 1.46429- 3 6.00000+ 0 1.10000+ 1 4.20421- 3 1.46430- 3 8.00000+ 0 8.00000+ 0 5.81139- 4 1.52958- 3 8.00000+ 0 1.00000+ 1 7.17440- 5 1.53486- 3 8.00000+ 0 1.10000+ 1 1.36311- 4 1.53487- 3 1 13000 0 7 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 7.90053- 5 3.78500- 5 6.00000+ 0 1.70531- 4 3.83200- 5 1.00000+ 1 2.07691- 6 1.14170- 4 1.10000+ 1 4.02982- 6 1.14180- 4 1 13000 0 9 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 2.98134- 1 2.76900- 5 5.00000+ 0 1.00000+ 1 1.67498- 2 3.29700- 5 5.00000+ 0 1.10000+ 1 1.46673- 2 3.29800- 5 6.00000+ 0 8.00000+ 0 5.89896- 1 2.81600- 5 6.00000+ 0 1.00000+ 1 1.45284- 2 3.34400- 5 6.00000+ 0 1.10000+ 1 4.66786- 2 3.34500- 5 8.00000+ 0 8.00000+ 0 1.12532- 2 9.87300- 5 8.00000+ 0 1.00000+ 1 2.61944- 3 1.04010- 4 8.00000+ 0 1.10000+ 1 5.21749- 3 1.04020- 4 1 13000 0 7 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 3.83922-15 4.70000- 7 8.00000+ 0 1.60531- 5 7.10400- 5 1.10000+ 1 1.75611-10 7.63300- 5 1 13000 0 9 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.50408- 1 6.08800- 5 8.00000+ 0 1.00000+ 1 8.00076- 1 6.61600- 5 8.00000+ 0 1.10000+ 1 4.94996- 2 6.61700- 5 1 13000 0 7 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.49999- 5 7.05700- 5 1.00000+ 1 8.20316-11 7.58500- 5 1.10000+ 1 8.10126-11 7.58600- 5 1 13000 0 9 2.69815+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.44757- 1 6.04100- 5 8.00000+ 0 1.00000+ 1 2.47625- 2 6.56900- 5 8.00000+ 0 1.10000+ 1 8.30465- 1 6.57000- 5 1 14000 0 0 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 6.70000- 1 1.10000+ 1 1.33000+ 0 1 14000 0 0 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.82850- 3 3.00000+ 0 1.51550- 4 5.00000+ 0 1.08670- 4 6.00000+ 0 1.07980- 4 8.00000+ 0 1.36300- 5 1.00000+ 1 6.55000- 6 1.10000+ 1 6.52000- 6 1 14000 0 0 2.80855+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.55100- 3 3.00000+ 0 3.73080- 4 5.00000+ 0 3.54240- 4 6.00000+ 0 3.50990- 4 8.00000+ 0 4.82100- 5 1.00000+ 1 3.05900- 5 1.10000+ 1 3.03300- 5 1 14000 0 0 2.80855+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.85420-10 3.00000+ 0 2.94680- 9 5.00000+ 0 2.74710- 9 6.00000+ 0 2.75790- 9 8.00000+ 0 1.09790- 8 1.00000+ 1 1.43150- 8 1.10000+ 1 1.43690- 8 1 14000 0 0 2.80855+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.02370- 8 3.00000+ 0 2.36950-11 5.00000+ 0 4.90260-12 6.00000+ 0 4.94600-12 1 14000 0 0 2.80855+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.05080- 7 3.00000+ 0 1.68360- 6 5.00000+ 0 1.75020- 8 6.00000+ 0 1.75640- 8 1 14000 0 0 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.98430- 5 3.00000+ 0 3.02367- 5 5.00000+ 0 1.82253- 5 6.00000+ 0 1.81806- 5 8.00000+ 0 1.36300- 5 1.00000+ 1 6.55000- 6 1.10000+ 1 6.52000- 6 1 14000 0 7 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.87212- 2 3.00000+ 0 3.87578- 4 5.00000+ 0 4.72019- 5 6.00000+ 0 4.42085- 5 1 14000 0 7 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.35266- 5 3.00000+ 0 2.07464- 8 5.00000+ 0 4.48608- 9 6.00000+ 0 4.17109- 9 1 14000 0 9 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.22911+ 0 3.00000+ 0 1.97422+ 0 5.00000+ 0 9.99953- 1 6.00000+ 0 9.99956- 1 1 14000 0 9 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.70513- 3 3.00000+ 0 1.21293- 4 5.00000+ 0 9.04402- 5 6.00000+ 0 8.97952- 5 1 14000 0 7 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.59791- 2 1.71983- 3 6.00000+ 0 3.17052- 2 1.72052- 3 1.00000+ 1 2.72402- 4 1.82195- 3 1.10000+ 1 5.40444- 4 1.82198- 3 1 14000 0 9 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 7.47954- 2 1.52540- 3 3.00000+ 0 5.00000+ 0 8.01214- 2 1.56828- 3 3.00000+ 0 6.00000+ 0 1.56131- 1 1.56897- 3 3.00000+ 0 8.00000+ 0 1.41124- 2 1.66332- 3 3.00000+ 0 1.00000+ 1 1.95584- 3 1.67040- 3 3.00000+ 0 1.10000+ 1 3.81585- 3 1.67043- 3 5.00000+ 0 5.00000+ 0 1.39905- 2 1.61116- 3 5.00000+ 0 6.00000+ 0 3.56408- 1 1.61185- 3 5.00000+ 0 8.00000+ 0 6.76231- 3 1.70620- 3 5.00000+ 0 1.00000+ 1 6.64732- 4 1.71328- 3 5.00000+ 0 1.10000+ 1 7.97675- 3 1.71331- 3 6.00000+ 0 6.00000+ 0 2.03104- 1 1.61254- 3 6.00000+ 0 8.00000+ 0 1.31982- 2 1.70689- 3 6.00000+ 0 1.00000+ 1 7.96407- 3 1.71397- 3 6.00000+ 0 1.10000+ 1 9.16547- 3 1.71400- 3 8.00000+ 0 8.00000+ 0 6.64748- 4 1.80124- 3 8.00000+ 0 1.00000+ 1 1.66185- 4 1.80832- 3 8.00000+ 0 1.10000+ 1 3.25975- 4 1.80835- 3 1.00000+ 1 1.00000+ 1 6.39199- 6 1.81540- 3 1.00000+ 1 1.10000+ 1 1.08669- 4 1.81543- 3 1.10000+ 1 1.10000+ 1 6.39185- 5 1.81546- 3 1 14000 0 7 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.00920- 4 4.28800- 5 6.00000+ 0 2.26020- 4 4.35700- 5 1.00000+ 1 5.83271- 6 1.45000- 4 1.10000+ 1 1.07340- 5 1.45030- 4 1 14000 0 9 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 2.63384- 1 2.92500- 5 5.00000+ 0 1.00000+ 1 3.36590- 2 3.63300- 5 5.00000+ 0 1.10000+ 1 3.17976- 2 3.63600- 5 6.00000+ 0 8.00000+ 0 5.19248- 1 2.99400- 5 6.00000+ 0 1.00000+ 1 3.13467- 2 3.70200- 5 6.00000+ 0 1.10000+ 1 9.48457- 2 3.70500- 5 8.00000+ 0 8.00000+ 0 1.03158- 2 1.24290- 4 8.00000+ 0 1.00000+ 1 5.00684- 3 1.31370- 4 8.00000+ 0 1.10000+ 1 9.95440- 3 1.31400- 4 1.00000+ 1 1.00000+ 1 3.23120- 5 1.38450- 4 1.10000+ 1 1.10000+ 1 6.62381- 5 1.38510- 4 1 14000 0 7 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.92390-14 6.90000- 7 8.00000+ 0 4.72000- 5 9.50400- 5 1.10000+ 1 1.82830- 9 1.02150- 4 1 14000 0 9 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 6.76285- 2 8.14100- 5 8.00000+ 0 1.00000+ 1 5.54847- 1 8.84900- 5 8.00000+ 0 1.10000+ 1 3.51351- 2 8.85200- 5 1.00000+ 1 1.00000+ 1 7.24466- 2 9.55700- 5 1.00000+ 1 1.10000+ 1 2.62434- 1 9.56000- 5 1.10000+ 1 1.10000+ 1 7.46220- 3 9.56300- 5 1 14000 0 7 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.42068- 5 9.43500- 5 1.00000+ 1 8.54246-10 1.01430- 4 1.10000+ 1 8.43116-10 1.01460- 4 1 14000 0 9 2.80855+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 6.56816- 2 8.07200- 5 8.00000+ 0 1.00000+ 1 1.73500- 2 8.78000- 5 8.00000+ 0 1.10000+ 1 5.73636- 1 8.78300- 5 1.00000+ 1 1.00000+ 1 1.08438- 3 9.48800- 5 1.00000+ 1 1.10000+ 1 1.37565- 1 9.49100- 5 1.10000+ 1 1.10000+ 1 2.04639- 1 9.49400- 5 1 15000 0 0 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 1.00000+ 0 1.10000+ 1 2.00000+ 0 1 15000 0 0 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.13040- 3 3.00000+ 0 1.87150- 4 5.00000+ 0 1.39140- 4 6.00000+ 0 1.38180- 4 8.00000+ 0 1.72100- 5 1.00000+ 1 8.38000- 6 1.10000+ 1 8.33000- 6 1 15000 0 0 3.09738+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.93920- 3 3.00000+ 0 4.45410- 4 5.00000+ 0 4.26720- 4 6.00000+ 0 4.22300- 4 8.00000+ 0 6.40100- 5 1.00000+ 1 4.39600- 5 1.10000+ 1 4.35200- 5 1 15000 0 0 3.09738+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.45260-10 3.00000+ 0 2.70120- 9 5.00000+ 0 2.48840- 9 6.00000+ 0 2.49960- 9 8.00000+ 0 9.65400- 9 1.00000+ 1 1.20130- 8 1.10000+ 1 1.20670- 8 1 15000 0 0 3.09738+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.87500- 8 3.00000+ 0 4.23120-11 5.00000+ 0 7.97830-12 6.00000+ 0 8.06390-12 1 15000 0 0 3.09738+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.44060- 7 3.00000+ 0 2.03040- 6 5.00000+ 0 3.72490- 8 6.00000+ 0 3.74050- 8 1 15000 0 0 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.59667- 5 3.00000+ 0 3.56244- 5 5.00000+ 0 2.12705- 5 6.00000+ 0 2.12157- 5 8.00000+ 0 1.72100- 5 1.00000+ 1 8.38000- 6 1.10000+ 1 8.33000- 6 1 15000 0 7 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.22110- 2 3.00000+ 0 5.36878- 4 5.00000+ 0 1.07320- 4 6.00000+ 0 1.00729- 4 1 15000 0 7 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.23474- 4 3.00000+ 0 3.85092- 8 5.00000+ 0 1.30856- 8 6.00000+ 0 1.21852- 8 1 15000 0 9 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.16644+ 0 3.00000+ 0 1.96938+ 0 5.00000+ 0 9.99893- 1 6.00000+ 0 9.99899- 1 1 15000 0 9 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.96096- 3 3.00000+ 0 1.51487- 4 5.00000+ 0 1.17856- 4 6.00000+ 0 1.16952- 4 1 15000 0 7 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.01220- 2 1.99126- 3 6.00000+ 0 3.98749- 2 1.99222- 3 1.00000+ 1 6.21469- 4 2.12202- 3 1.10000+ 1 1.23210- 3 2.12207- 3 1 15000 0 9 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 7.12845- 2 1.75610- 3 3.00000+ 0 5.00000+ 0 7.70090- 2 1.80411- 3 3.00000+ 0 6.00000+ 0 1.49534- 1 1.80507- 3 3.00000+ 0 8.00000+ 0 1.42971- 2 1.92604- 3 3.00000+ 0 1.00000+ 1 3.09277- 3 1.93487- 3 3.00000+ 0 1.10000+ 1 6.00170- 3 1.93492- 3 5.00000+ 0 5.00000+ 0 1.35789- 2 1.85212- 3 5.00000+ 0 6.00000+ 0 3.44468- 1 1.85308- 3 5.00000+ 0 8.00000+ 0 6.87552- 3 1.97405- 3 5.00000+ 0 1.00000+ 1 1.05204- 3 1.98288- 3 5.00000+ 0 1.10000+ 1 1.25152- 2 1.98293- 3 6.00000+ 0 6.00000+ 0 1.96055- 1 1.85404- 3 6.00000+ 0 8.00000+ 0 1.33713- 2 1.97501- 3 6.00000+ 0 1.00000+ 1 1.25043- 2 1.98384- 3 6.00000+ 0 1.10000+ 1 1.43892- 2 1.98389- 3 8.00000+ 0 8.00000+ 0 7.12833- 4 2.09598- 3 8.00000+ 0 1.00000+ 1 2.75938- 4 2.10481- 3 8.00000+ 0 1.10000+ 1 5.34626- 4 2.10486- 3 1.00000+ 1 1.00000+ 1 1.72459- 5 2.11364- 3 1.00000+ 1 1.10000+ 1 3.67923- 4 2.11369- 3 1.10000+ 1 1.10000+ 1 2.12700- 4 2.11374- 3 1 15000 0 7 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.18800- 4 4.80100- 5 6.00000+ 0 2.78870- 4 4.89700- 5 1.00000+ 1 1.42970- 5 1.78770- 4 1.10000+ 1 2.50490- 5 1.78820- 4 1 15000 0 9 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 2.31157- 1 3.08000- 5 5.00000+ 0 1.00000+ 1 4.82015- 2 3.96300- 5 5.00000+ 0 1.10000+ 1 4.87713- 2 3.96800- 5 6.00000+ 0 8.00000+ 0 4.55856- 1 3.17600- 5 6.00000+ 0 1.00000+ 1 4.78317- 2 4.05900- 5 6.00000+ 0 1.10000+ 1 1.37702- 1 4.06400- 5 8.00000+ 0 8.00000+ 0 9.19772- 3 1.52730- 4 8.00000+ 0 1.00000+ 1 6.89081- 3 1.61560- 4 8.00000+ 0 1.10000+ 1 1.36935- 2 1.61610- 4 1.00000+ 1 1.00000+ 1 8.43928- 5 1.70390- 4 1.00000+ 1 1.10000+ 1 2.67913- 6 1.70440- 4 1.10000+ 1 1.10000+ 1 1.74150- 4 1.70490- 4 1 15000 0 7 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 7.54471-14 9.60000- 7 8.00000+ 0 1.07310- 4 1.21930- 4 1.10000+ 1 9.51832- 9 1.30810- 4 1 15000 0 9 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 3.84224- 2 1.04720- 4 8.00000+ 0 1.00000+ 1 4.09857- 1 1.13550- 4 8.00000+ 0 1.10000+ 1 2.66610- 2 1.13600- 4 1.00000+ 1 1.00000+ 1 1.11541- 1 1.22380- 4 1.00000+ 1 1.10000+ 1 4.01870- 1 1.22430- 4 1.10000+ 1 1.10000+ 1 1.15410- 2 1.22480- 4 1 15000 0 7 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.00720- 4 1.20970- 4 1.00000+ 1 4.44840- 9 1.29800- 4 1.10000+ 1 4.38500- 9 1.29850- 4 1 15000 0 9 3.09738+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 3.74626- 2 1.03760- 4 8.00000+ 0 1.00000+ 1 1.31656- 2 1.12590- 4 8.00000+ 0 1.10000+ 1 4.23652- 1 1.12640- 4 1.00000+ 1 1.00000+ 1 1.74570- 3 1.21420- 4 1.00000+ 1 1.10000+ 1 2.10574- 1 1.21470- 4 1.10000+ 1 1.10000+ 1 3.13300- 1 1.21520- 4 1 16000 0 0 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 1.33000+ 0 1.10000+ 1 2.67000+ 0 1 16000 0 0 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.45590- 3 3.00000+ 0 2.25970- 4 5.00000+ 0 1.72730- 4 6.00000+ 0 1.71400- 4 8.00000+ 0 2.09500- 5 1.00000+ 1 1.03400- 5 1.10000+ 1 1.02500- 5 1 16000 0 0 3.20600+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.35600- 3 3.00000+ 0 5.24390- 4 5.00000+ 0 5.05780- 4 6.00000+ 0 4.99890- 4 8.00000+ 0 8.12000- 5 1.00000+ 1 5.86000- 5 1.10000+ 1 5.79400- 5 1 16000 0 0 3.20600+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.10120-10 3.00000+ 0 2.49340- 9 5.00000+ 0 2.27520- 9 6.00000+ 0 2.28680- 9 8.00000+ 0 8.65770- 9 1.00000+ 1 1.04460- 8 1.10000+ 1 1.05000- 8 1 16000 0 0 3.20600+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.98060- 8 3.00000+ 0 7.76290-11 5.00000+ 0 1.21070-11 6.00000+ 0 1.22710-11 1 16000 0 0 3.20600+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.82240- 7 3.00000+ 0 2.39470- 6 5.00000+ 0 6.58520- 8 6.00000+ 0 6.61570- 8 1 16000 0 0 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.26280- 5 3.00000+ 0 4.13511- 5 5.00000+ 0 2.47781- 5 6.00000+ 0 2.46935- 5 8.00000+ 0 2.09500- 5 1.00000+ 1 1.03400- 5 1.10000+ 1 1.02500- 5 1 16000 0 7 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.78515- 2 3.00000+ 0 7.23821- 4 5.00000+ 0 2.07464- 4 6.00000+ 0 1.95111- 4 1 16000 0 7 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.77165- 4 3.00000+ 0 7.11029- 8 5.00000+ 0 3.14893- 8 6.00000+ 0 2.93548- 8 1 16000 0 9 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.09992+ 0 3.00000+ 0 1.96551+ 0 5.00000+ 0 9.99793- 1 6.00000+ 0 9.99805- 1 1 16000 0 9 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.22611- 3 3.00000+ 0 1.84548- 4 5.00000+ 0 1.47920- 4 6.00000+ 0 1.46677- 4 1 16000 0 7 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.47822- 2 2.28317- 3 6.00000+ 0 4.90644- 2 2.28450- 3 1.00000+ 1 1.15591- 3 2.44556- 3 1.10000+ 1 2.28902- 3 2.44565- 3 1 16000 0 9 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 6.79961- 2 2.00396- 3 3.00000+ 0 5.00000+ 0 7.39684- 2 2.05720- 3 3.00000+ 0 6.00000+ 0 1.43069- 1 2.05853- 3 3.00000+ 0 8.00000+ 0 1.42819- 2 2.20898- 3 3.00000+ 0 1.00000+ 1 4.23283- 3 2.21959- 3 3.00000+ 0 1.10000+ 1 8.17425- 3 2.21968- 3 5.00000+ 0 5.00000+ 0 1.31472- 2 2.11044- 3 5.00000+ 0 6.00000+ 0 3.31099- 1 2.11177- 3 5.00000+ 0 8.00000+ 0 6.86216- 3 2.26222- 3 5.00000+ 0 1.00000+ 1 1.45266- 3 2.27283- 3 5.00000+ 0 1.10000+ 1 1.70618- 2 2.27292- 3 6.00000+ 0 6.00000+ 0 1.88236- 1 2.11310- 3 6.00000+ 0 8.00000+ 0 1.32869- 2 2.26355- 3 6.00000+ 0 1.00000+ 1 1.70457- 2 2.27416- 3 6.00000+ 0 1.10000+ 1 1.96027- 2 2.27425- 3 8.00000+ 0 8.00000+ 0 7.44545- 4 2.41400- 3 8.00000+ 0 1.00000+ 1 3.95703- 4 2.42461- 3 8.00000+ 0 1.10000+ 1 7.60167- 4 2.42470- 3 1.00000+ 1 1.00000+ 1 3.64445- 5 2.43522- 3 1.00000+ 1 1.10000+ 1 7.96592- 4 2.43531- 3 1.10000+ 1 1.10000+ 1 4.58163- 4 2.43540- 3 1 16000 0 7 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.30089- 4 5.32400- 5 6.00000+ 0 3.19088- 4 5.45700- 5 1.00000+ 1 3.05768- 5 2.15630- 4 1.10000+ 1 5.14767- 5 2.15720- 4 1 16000 0 9 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 2.03001- 1 3.22900- 5 5.00000+ 0 1.00000+ 1 6.10351- 2 4.29000- 5 5.00000+ 0 1.10000+ 1 6.51221- 2 4.29900- 5 6.00000+ 0 8.00000+ 0 3.96791- 1 3.36200- 5 6.00000+ 0 1.00000+ 1 6.33933- 2 4.42300- 5 6.00000+ 0 1.10000+ 1 1.76441- 1 4.43200- 5 8.00000+ 0 8.00000+ 0 8.19136- 3 1.84070- 4 8.00000+ 0 1.00000+ 1 8.39006- 3 1.94680- 4 8.00000+ 0 1.10000+ 1 1.66434- 2 1.94770- 4 1.00000+ 1 1.00000+ 1 1.45352- 4 2.05290- 4 1.00000+ 1 1.10000+ 1 1.13569- 5 2.05380- 4 1.10000+ 1 1.10000+ 1 3.03228- 4 2.05470- 4 1 16000 0 7 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.48030-13 1.33000- 6 8.00000+ 0 2.07430- 4 1.51780- 4 1.10000+ 1 3.45370- 8 1.62480- 4 1 16000 0 9 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.44984- 2 1.30830- 4 8.00000+ 0 1.00000+ 1 3.20372- 1 1.41440- 4 8.00000+ 0 1.10000+ 1 2.13995- 2 1.41530- 4 1.00000+ 1 1.00000+ 1 1.35178- 1 1.52050- 4 1.00000+ 1 1.10000+ 1 4.84421- 1 1.52140- 4 1.10000+ 1 1.10000+ 1 1.39230- 2 1.52230- 4 1 16000 0 7 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.95079- 4 1.50450- 4 1.00000+ 1 1.61379- 8 1.61060- 4 1.10000+ 1 1.58869- 8 1.61150- 4 1 16000 0 9 3.20600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.39739- 2 1.29500- 4 8.00000+ 0 1.00000+ 1 1.05269- 2 1.40110- 4 8.00000+ 0 1.10000+ 1 3.31167- 1 1.40200- 4 1.00000+ 1 1.00000+ 1 2.17960- 3 1.50720- 4 1.00000+ 1 1.10000+ 1 2.53969- 1 1.50810- 4 1.10000+ 1 1.10000+ 1 3.77988- 1 1.50900- 4 1 17000 0 0 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 1.67000+ 0 1.10000+ 1 3.33000+ 0 1 17000 0 0 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.80490- 3 3.00000+ 0 2.68050- 4 5.00000+ 0 2.09480- 4 6.00000+ 0 2.07700- 4 8.00000+ 0 2.48400- 5 1.00000+ 1 1.24200- 5 1.10000+ 1 1.22900- 5 1 17000 0 0 3.54530+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.80140- 3 3.00000+ 0 6.10050- 4 5.00000+ 0 5.91510- 4 6.00000+ 0 5.83810- 4 8.00000+ 0 9.98800- 5 1.00000+ 1 7.46200- 5 1.10000+ 1 7.36700- 5 1 17000 0 0 3.54530+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.78840-10 3.00000+ 0 2.31540- 9 5.00000+ 0 2.09650- 9 6.00000+ 0 2.10840- 9 8.00000+ 0 7.86990- 9 1.00000+ 1 9.28710- 9 1.10000+ 1 9.33730- 9 1 17000 0 0 3.54530+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.39210- 8 3.00000+ 0 1.38910-10 5.00000+ 0 1.74940-11 6.00000+ 0 1.77770-11 1 17000 0 0 3.54530+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.20280- 7 3.00000+ 0 2.80320- 6 5.00000+ 0 1.03350- 7 6.00000+ 0 1.03860- 7 1 17000 0 0 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.96273- 5 3.00000+ 0 4.74207- 5 5.00000+ 0 2.86479- 5 6.00000+ 0 2.85332- 5 8.00000+ 0 2.48400- 5 1.00000+ 1 1.24200- 5 1.10000+ 1 1.22900- 5 1 17000 0 7 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.57035- 2 3.00000+ 0 9.54710- 4 5.00000+ 0 3.58667- 4 6.00000+ 0 3.37933- 4 1 17000 0 7 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.47588- 4 3.00000+ 0 1.27876- 7 5.00000+ 0 6.62256- 8 6.00000+ 0 6.17956- 8 1 17000 0 9 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.02876+ 0 3.00000+ 0 1.96292+ 0 5.00000+ 0 9.99641- 1 6.00000+ 0 9.99662- 1 1 17000 0 9 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.49769- 3 3.00000+ 0 2.20501- 4 5.00000+ 0 1.80766- 4 6.00000+ 0 1.79105- 4 1 17000 0 7 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.99473- 2 2.59542- 3 6.00000+ 0 5.92357- 2 2.59720- 3 1.00000+ 1 1.90852- 3 2.79248- 3 1.10000+ 1 3.77764- 3 2.79261- 3 1 17000 0 9 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 6.47454- 2 2.26880- 3 3.00000+ 0 5.00000+ 0 7.07430- 2 2.32737- 3 3.00000+ 0 6.00000+ 0 1.36245- 1 2.32915- 3 3.00000+ 0 8.00000+ 0 1.40930- 2 2.51201- 3 3.00000+ 0 1.00000+ 1 5.34453- 3 2.52443- 3 3.00000+ 0 1.10000+ 1 1.02721- 2 2.52456- 3 5.00000+ 0 5.00000+ 0 1.26685- 2 2.38594- 3 5.00000+ 0 6.00000+ 0 3.17212- 1 2.38772- 3 5.00000+ 0 8.00000+ 0 6.76930- 3 2.57058- 3 5.00000+ 0 1.00000+ 1 1.84144- 3 2.58300- 3 5.00000+ 0 1.10000+ 1 2.14432- 2 2.58313- 3 6.00000+ 0 6.00000+ 0 1.80107- 1 2.38950- 3 6.00000+ 0 8.00000+ 0 1.30550- 2 2.57236- 3 6.00000+ 0 1.00000+ 1 2.14401- 2 2.58478- 3 6.00000+ 0 1.10000+ 1 2.46207- 2 2.58491- 3 8.00000+ 0 8.00000+ 0 7.57429- 4 2.75522- 3 8.00000+ 0 1.00000+ 1 5.11276- 4 2.76764- 3 8.00000+ 0 1.10000+ 1 9.89421- 4 2.76777- 3 1.00000+ 1 1.00000+ 1 6.15382- 5 2.78006- 3 1.00000+ 1 1.10000+ 1 1.40118- 3 2.78019- 3 1.10000+ 1 1.10000+ 1 8.09499- 4 2.78032- 3 1 17000 0 7 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.32240- 4 5.85700- 5 6.00000+ 0 3.38699- 4 6.03500- 5 1.00000+ 1 5.77589- 5 2.55630- 4 1.10000+ 1 9.34599- 5 2.55760- 4 1 17000 0 9 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 1.77436- 1 3.37300- 5 5.00000+ 0 1.00000+ 1 7.17001- 2 4.61500- 5 5.00000+ 0 1.10000+ 1 7.98935- 2 4.62800- 5 6.00000+ 0 8.00000+ 0 3.48444- 1 3.55100- 5 6.00000+ 0 1.00000+ 1 7.75632- 2 4.79300- 5 6.00000+ 0 1.10000+ 1 2.08372- 1 4.80600- 5 8.00000+ 0 8.00000+ 0 7.21657- 3 2.18370- 4 8.00000+ 0 1.00000+ 1 9.41985- 3 2.30790- 4 8.00000+ 0 1.10000+ 1 1.86655- 2 2.30920- 4 1.00000+ 1 1.00000+ 1 2.03716- 4 2.43210- 4 1.00000+ 1 1.10000+ 1 3.00734- 5 2.43340- 4 1.10000+ 1 1.10000+ 1 4.33629- 4 2.43470- 4 1 17000 0 7 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 7.13665-13 1.78000- 6 8.00000+ 0 3.58568- 4 1.84640- 4 1.10000+ 1 9.97973- 8 1.97190- 4 1 17000 0 9 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.68707- 2 1.59800- 4 8.00000+ 0 1.00000+ 1 2.61091- 1 1.72220- 4 8.00000+ 0 1.10000+ 1 1.78966- 2 1.72350- 4 1.00000+ 1 1.00000+ 1 1.50680- 1 1.84640- 4 1.00000+ 1 1.10000+ 1 5.37786- 1 1.84770- 4 1.10000+ 1 1.10000+ 1 1.53179- 2 1.84900- 4 1 17000 0 7 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 3.37841- 4 1.82860- 4 1.00000+ 1 4.66351- 8 1.95280- 4 1.10000+ 1 4.58471- 8 1.95410- 4 1 17000 0 9 3.54530+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.66045- 2 1.58020- 4 8.00000+ 0 1.00000+ 1 8.74747- 3 1.70440- 4 8.00000+ 0 1.10000+ 1 2.69969- 1 1.70570- 4 1.00000+ 1 1.00000+ 1 2.48799- 3 1.82860- 4 1.00000+ 1 1.10000+ 1 2.81903- 1 1.82990- 4 1.10000+ 1 1.10000+ 1 4.19951- 1 1.83120- 4 1 18000 0 0 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1 18000 0 0 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.17760- 3 3.00000+ 0 3.13430- 4 5.00000+ 0 2.49430- 4 6.00000+ 0 2.47090- 4 8.00000+ 0 2.89200- 5 1.00000+ 1 1.46200- 5 1.10000+ 1 1.44300- 5 1 18000 0 0 3.99480+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.27570- 3 3.00000+ 0 7.02450- 4 5.00000+ 0 6.83960- 4 6.00000+ 0 6.74060- 4 8.00000+ 0 1.20070- 4 1.00000+ 1 9.20800- 5 1.10000+ 1 9.07500- 5 1 18000 0 0 3.99480+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.51420-10 3.00000+ 0 2.16090- 9 5.00000+ 0 1.94390- 9 6.00000+ 0 1.95630- 9 8.00000+ 0 7.22500- 9 1.00000+ 1 8.38350- 9 1.10000+ 1 8.43760- 9 1 18000 0 0 3.99480+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.16570- 8 3.00000+ 0 2.37950-10 5.00000+ 0 2.43510-11 6.00000+ 0 2.48120-11 1 18000 0 0 3.99480+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.57640- 7 3.00000+ 0 3.24230- 6 5.00000+ 0 1.50480- 7 6.00000+ 0 1.51270- 7 1 18000 0 0 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.68089- 5 3.00000+ 0 5.37544- 5 5.00000+ 0 3.28227- 5 6.00000+ 0 3.26609- 5 8.00000+ 0 2.89200- 5 1.00000+ 1 1.46200- 5 1.10000+ 1 1.44300- 5 1 18000 0 7 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.15783- 1 3.00000+ 0 1.23350- 3 5.00000+ 0 5.71595- 4 6.00000+ 0 5.39408- 4 1 18000 0 7 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.37982- 4 3.00000+ 0 2.19959- 7 5.00000+ 0 1.26046- 7 6.00000+ 0 1.17686- 7 1 18000 0 9 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.95218+ 0 3.00000+ 0 1.95524+ 0 5.00000+ 0 9.99428- 1 6.00000+ 0 9.99461- 1 1 18000 0 9 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.77281- 3 3.00000+ 0 2.59456- 4 5.00000+ 0 2.16481- 4 6.00000+ 0 2.14311- 4 1 18000 0 7 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 3.55868- 2 2.92817- 3 6.00000+ 0 7.03336- 2 2.93051- 3 1.00000+ 1 2.91258- 3 3.16298- 3 1.10000+ 1 5.75646- 3 3.16317- 3 1 18000 0 9 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 6.16844- 2 2.55074- 3 3.00000+ 0 5.00000+ 0 6.75987- 2 2.61474- 3 3.00000+ 0 6.00000+ 0 1.29586- 1 2.61708- 3 3.00000+ 0 8.00000+ 0 1.37829- 2 2.83525- 3 3.00000+ 0 1.00000+ 1 6.39436- 3 2.84955- 3 3.00000+ 0 1.10000+ 1 1.22222- 2 2.84974- 3 5.00000+ 0 5.00000+ 0 1.21489- 2 2.67874- 3 5.00000+ 0 6.00000+ 0 3.02561- 1 2.68108- 3 5.00000+ 0 8.00000+ 0 6.61466- 3 2.89925- 3 5.00000+ 0 1.00000+ 1 2.20338- 3 2.91355- 3 5.00000+ 0 1.10000+ 1 2.55000- 2 2.91374- 3 6.00000+ 0 6.00000+ 0 1.71563- 1 2.68342- 3 6.00000+ 0 8.00000+ 0 1.27069- 2 2.90159- 3 6.00000+ 0 1.00000+ 1 2.55026- 2 2.91589- 3 6.00000+ 0 1.10000+ 1 2.92457- 2 2.91608- 3 8.00000+ 0 8.00000+ 0 7.64713- 4 3.11976- 3 8.00000+ 0 1.00000+ 1 6.26469- 4 3.13406- 3 8.00000+ 0 1.10000+ 1 1.20100- 3 3.13425- 3 1.00000+ 1 1.00000+ 1 9.93685- 5 3.14836- 3 1.00000+ 1 1.10000+ 1 2.16012- 3 3.14855- 3 1.10000+ 1 1.10000+ 1 1.24429- 3 3.14874- 3 1 18000 0 7 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.23859- 4 6.40000- 5 6.00000+ 0 3.33608- 4 6.63400- 5 1.00000+ 1 9.68363- 5 2.98810- 4 1.10000+ 1 1.52699- 4 2.99000- 4 1 18000 0 9 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 1.55105- 1 3.50800- 5 5.00000+ 0 1.00000+ 1 8.00244- 2 4.93800- 5 5.00000+ 0 1.10000+ 1 9.30786- 2 4.95700- 5 6.00000+ 0 8.00000+ 0 3.04564- 1 3.74200- 5 6.00000+ 0 1.00000+ 1 8.98110- 2 5.17200- 5 6.00000+ 0 1.10000+ 1 2.33431- 1 5.19100- 5 8.00000+ 0 8.00000+ 0 7.34583- 3 2.55590- 4 8.00000+ 0 1.00000+ 1 1.17252- 2 2.69890- 4 8.00000+ 0 1.10000+ 1 2.31926- 2 2.70080- 4 1.00000+ 1 1.00000+ 1 2.96096- 4 2.84190- 4 1.00000+ 1 1.10000+ 1 7.11414- 5 2.84380- 4 1.10000+ 1 1.10000+ 1 6.48915- 4 2.84570- 4 1 18000 0 7 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.84940-12 2.34000- 6 8.00000+ 0 5.71349- 4 2.20510- 4 1.10000+ 1 2.45970- 7 2.35000- 4 1 18000 0 9 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.21988- 2 1.91590- 4 8.00000+ 0 1.00000+ 1 2.19087- 1 2.05890- 4 8.00000+ 0 1.10000+ 1 1.53435- 2 2.06080- 4 1.00000+ 1 1.00000+ 1 1.61746- 1 2.20190- 4 1.00000+ 1 1.10000+ 1 5.74753- 1 2.20380- 4 1.10000+ 1 1.10000+ 1 1.63000- 2 2.20570- 4 1 18000 0 7 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 5.39180- 4 2.18170- 4 1.00000+ 1 1.14890- 7 2.32470- 4 1.10000+ 1 1.12760- 7 2.32660- 4 1 18000 0 9 3.99480+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.20275- 2 1.89250- 4 8.00000+ 0 1.00000+ 1 7.49704- 3 2.03550- 4 8.00000+ 0 1.10000+ 1 2.26636- 1 2.03740- 4 1.00000+ 1 1.00000+ 1 2.71477- 3 2.17850- 4 1.00000+ 1 1.10000+ 1 3.01615- 1 2.18040- 4 1.10000+ 1 1.10000+ 1 4.48970- 1 2.18230- 4 1 19000 0 0 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.60000+ 1 1.00000+ 0 1 19000 0 0 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.58330- 3 3.00000+ 0 3.71160- 4 5.00000+ 0 3.01650- 4 6.00000+ 0 2.98640- 4 8.00000+ 0 4.05000- 5 1.00000+ 1 2.37500- 5 1.10000+ 1 2.34700- 5 1.60000+ 1 4.22000- 6 1 19000 0 0 3.90983+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.77930- 3 3.00000+ 0 8.02120- 4 5.00000+ 0 7.83710- 4 6.00000+ 0 7.71170- 4 8.00000+ 0 1.48920- 4 1.00000+ 1 1.22390- 4 1.10000+ 1 1.20670- 4 1.60000+ 1 9.97000- 6 1 19000 0 0 3.90983+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.27090-10 3.00000+ 0 2.02460- 9 5.00000+ 0 1.81110- 9 6.00000+ 0 1.82380- 9 8.00000+ 0 6.52220- 9 1.00000+ 1 7.20190- 9 1.10000+ 1 7.24430- 9 1.60000+ 1 2.61890- 8 1 19000 0 0 3.90983+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.32900- 8 3.00000+ 0 3.75130-10 5.00000+ 0 3.54600-11 6.00000+ 0 3.62410-11 1 19000 0 0 3.90983+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.92180- 7 3.00000+ 0 3.67500- 6 5.00000+ 0 1.78830- 7 6.00000+ 0 1.79890- 7 1 19000 0 0 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.01166- 4 3.00000+ 0 8.07106- 5 5.00000+ 0 5.12118- 5 6.00000+ 0 5.09516- 5 8.00000+ 0 4.05000- 5 1.00000+ 1 2.37500- 5 1.10000+ 1 2.34700- 5 1.60000+ 1 4.22000- 6 1 19000 0 7 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.38069- 1 3.00000+ 0 1.56490- 3 5.00000+ 0 8.56287- 4 6.00000+ 0 8.09167- 4 1 19000 0 7 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.51653- 4 3.00000+ 0 3.59521- 7 5.00000+ 0 2.24367- 7 6.00000+ 0 2.09584- 7 1 19000 0 9 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.87234+ 0 3.00000+ 0 1.92757+ 0 5.00000+ 0 9.99144- 1 6.00000+ 0 9.99191- 1 1 19000 0 9 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.03048- 3 3.00000+ 0 2.90090- 4 5.00000+ 0 2.50214- 4 6.00000+ 0 2.47479- 4 1 19000 0 7 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 4.18599- 2 3.28165- 3 6.00000+ 0 8.26518- 2 3.28466- 3 1.00000+ 1 3.99739- 3 3.55955- 3 1.10000+ 1 7.91008- 3 3.55983- 3 1 19000 0 9 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 5.89630- 2 2.84098- 3 3.00000+ 0 5.00000+ 0 6.48009- 2 2.91049- 3 3.00000+ 0 6.00000+ 0 1.23626- 1 2.91350- 3 3.00000+ 0 8.00000+ 0 1.41070- 2 3.17164- 3 3.00000+ 0 1.00000+ 1 6.89276- 3 3.18839- 3 3.00000+ 0 1.10000+ 1 1.31233- 2 3.18867- 3 3.00000+ 0 1.60000+ 1 6.86507- 4 3.20792- 3 5.00000+ 0 5.00000+ 0 1.16788- 2 2.98000- 3 5.00000+ 0 6.00000+ 0 2.89645- 1 2.98301- 3 5.00000+ 0 8.00000+ 0 6.75386- 3 3.24115- 3 5.00000+ 0 1.00000+ 1 2.38084- 3 3.25790- 3 5.00000+ 0 1.10000+ 1 2.72851- 2 3.25818- 3 5.00000+ 0 1.60000+ 1 3.25392- 4 3.27743- 3 6.00000+ 0 6.00000+ 0 1.63935- 1 2.98602- 3 6.00000+ 0 8.00000+ 0 1.29199- 2 3.24416- 3 6.00000+ 0 1.00000+ 1 2.72613- 2 3.26091- 3 6.00000+ 0 1.10000+ 1 3.12637- 2 3.26119- 3 6.00000+ 0 1.60000+ 1 6.19017- 4 3.28044- 3 8.00000+ 0 8.00000+ 0 8.33295- 4 3.50230- 3 8.00000+ 0 1.00000+ 1 7.22188- 4 3.51905- 3 8.00000+ 0 1.10000+ 1 1.37698- 3 3.51933- 3 8.00000+ 0 1.60000+ 1 8.33295- 5 3.53858- 3 1.00000+ 1 1.00000+ 1 1.19046- 4 3.53580- 3 1.00000+ 1 1.10000+ 1 2.58323- 3 3.53608- 3 1.00000+ 1 1.60000+ 1 3.57137- 5 3.55533- 3 1.10000+ 1 1.10000+ 1 1.49204- 3 3.53636- 3 1.10000+ 1 1.60000+ 1 6.74576- 5 3.55561- 3 1 19000 0 7 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.11190- 4 6.95100- 5 6.00000+ 0 3.14070- 4 7.25200- 5 1.00000+ 1 1.47230- 4 3.47410- 4 1.10000+ 1 2.25400- 4 3.47690- 4 1 19000 0 9 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 1.44822- 1 2.90100- 5 5.00000+ 0 1.00000+ 1 7.77653- 2 4.57600- 5 5.00000+ 0 1.10000+ 1 9.33226- 2 4.60400- 5 5.00000+ 0 1.60000+ 1 6.32995- 3 6.52900- 5 6.00000+ 0 8.00000+ 0 2.78789- 1 3.20200- 5 6.00000+ 0 1.00000+ 1 8.90327- 2 4.87700- 5 6.00000+ 0 1.10000+ 1 2.26394- 1 4.90500- 5 6.00000+ 0 1.60000+ 1 1.22536- 2 6.83000- 5 8.00000+ 0 8.00000+ 0 1.09421- 2 2.90160- 4 8.00000+ 0 1.00000+ 1 1.84072- 2 3.06910- 4 8.00000+ 0 1.10000+ 1 3.64059- 2 3.07190- 4 8.00000+ 0 1.60000+ 1 9.71733- 4 3.26440- 4 1.00000+ 1 1.00000+ 1 4.43715- 4 3.23660- 4 1.00000+ 1 1.10000+ 1 1.62172- 4 3.23940- 4 1.00000+ 1 1.60000+ 1 7.22612- 4 3.43190- 4 1.10000+ 1 1.10000+ 1 1.00934- 3 3.24220- 4 1.10000+ 1 1.60000+ 1 1.42836- 3 3.43470- 4 1 19000 0 7 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 4.09442-12 3.01000- 6 8.00000+ 0 8.35413- 4 2.61150- 4 1.10000+ 1 4.81412- 7 2.78180- 4 1.60000+ 1 2.03921- 5 2.97430- 4 1 19000 0 9 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.14174- 2 2.20650- 4 8.00000+ 0 1.00000+ 1 2.07641- 1 2.37400- 4 8.00000+ 0 1.10000+ 1 1.48840- 2 2.37680- 4 8.00000+ 0 1.60000+ 1 9.88199- 4 2.56930- 4 1.00000+ 1 1.00000+ 1 1.62162- 1 2.54150- 4 1.00000+ 1 1.10000+ 1 5.74928- 1 2.54430- 4 1.00000+ 1 1.60000+ 1 1.03231- 2 2.73680- 4 1.10000+ 1 1.10000+ 1 1.61615- 2 2.54710- 4 1.10000+ 1 1.60000+ 1 6.38519- 4 2.73960- 4 1 19000 0 7 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 7.89471- 4 2.58140- 4 1.00000+ 1 2.24120- 7 2.74890- 4 1.10000+ 1 2.20150- 7 2.75170- 4 1.60000+ 1 1.92520- 5 2.94420- 4 1 19000 0 9 3.90983+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.12219- 2 2.17640- 4 8.00000+ 0 1.00000+ 1 7.18101- 3 2.34390- 4 8.00000+ 0 1.10000+ 1 2.13721- 1 2.34670- 4 8.00000+ 0 1.60000+ 1 9.76484- 4 2.53920- 4 1.00000+ 1 1.00000+ 1 2.71897- 3 2.51140- 4 1.00000+ 1 1.10000+ 1 2.99761- 1 2.51420- 4 1.00000+ 1 1.60000+ 1 3.00446- 4 2.70670- 4 1.10000+ 1 1.10000+ 1 4.52595- 1 2.51700- 4 1.10000+ 1 1.60000+ 1 1.07157- 2 2.70950- 4 1 20000 0 0 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.60000+ 1 2.00000+ 0 1 20000 0 0 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.01500- 3 3.00000+ 0 4.34110- 4 5.00000+ 0 3.59040- 4 6.00000+ 0 3.55200- 4 8.00000+ 0 5.31600- 5 1.00000+ 1 3.40100- 5 1.10000+ 1 3.36000- 5 1.60000+ 1 5.45000- 6 1 20000 0 0 4.00800+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.31230- 3 3.00000+ 0 9.09210- 4 5.00000+ 0 8.90860- 4 6.00000+ 0 8.75170- 4 8.00000+ 0 1.80980- 4 1.00000+ 1 1.54070- 4 1.10000+ 1 1.51790- 4 1.60000+ 1 1.85800- 5 1 20000 0 0 4.00800+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.05080-10 3.00000+ 0 1.90420- 9 5.00000+ 0 1.69490- 9 6.00000+ 0 1.70800- 9 8.00000+ 0 5.95840- 9 1.00000+ 1 6.42570- 9 1.10000+ 1 6.46430- 9 1.60000+ 1 2.10150- 8 1 20000 0 0 4.00800+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.19400- 7 3.00000+ 0 5.57900-10 5.00000+ 0 5.14910-11 6.00000+ 0 5.27840-11 1 20000 0 0 4.00800+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.25560- 7 3.00000+ 0 3.94670- 6 5.00000+ 0 2.06310- 7 6.00000+ 0 2.07690- 7 1 20000 0 0 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.37408- 4 3.00000+ 0 1.09353- 4 5.00000+ 0 7.15356- 5 6.00000+ 0 7.11217- 5 8.00000+ 0 5.31600- 5 1.00000+ 1 3.40100- 5 1.10000+ 1 3.36000- 5 1.60000+ 1 5.45000- 6 1 20000 0 7 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.62486- 1 3.00000+ 0 1.95248- 3 5.00000+ 0 1.22195- 3 6.00000+ 0 1.15608- 3 1 20000 0 7 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.92020- 4 3.00000+ 0 5.58876- 7 5.00000+ 0 3.74996- 7 6.00000+ 0 3.50340- 7 1 20000 0 9 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.79327+ 0 3.00000+ 0 1.90552+ 0 5.00000+ 0 9.98778- 1 6.00000+ 0 9.98844- 1 1 20000 0 9 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.28557- 3 3.00000+ 0 3.24198- 4 5.00000+ 0 2.87129- 4 6.00000+ 0 2.83728- 4 1 20000 0 7 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 4.87196- 2 3.65596- 3 6.00000+ 0 9.61323- 2 3.65980- 3 1.00000+ 1 5.17776- 3 3.98099- 3 1.10000+ 1 1.02489- 2 3.98140- 3 1 20000 0 9 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 5.63485- 2 3.14678- 3 3.00000+ 0 5.00000+ 0 6.20531- 2 3.22185- 3 3.00000+ 0 6.00000+ 0 1.17762- 1 3.22569- 3 3.00000+ 0 8.00000+ 0 1.42824- 2 3.52773- 3 3.00000+ 0 1.00000+ 1 7.23290- 3 3.54688- 3 3.00000+ 0 1.10000+ 1 1.37034- 2 3.54729- 3 3.00000+ 0 1.60000+ 1 1.62556- 3 3.57544- 3 5.00000+ 0 5.00000+ 0 1.12223- 2 3.29692- 3 5.00000+ 0 6.00000+ 0 2.76841- 1 3.30076- 3 5.00000+ 0 8.00000+ 0 6.82757- 3 3.60280- 3 5.00000+ 0 1.00000+ 1 2.49498- 3 3.62195- 3 5.00000+ 0 1.10000+ 1 2.84282- 2 3.62236- 3 5.00000+ 0 1.60000+ 1 7.63476- 4 3.65051- 3 6.00000+ 0 6.00000+ 0 1.56416- 1 3.30460- 3 6.00000+ 0 8.00000+ 0 1.29934- 2 3.60664- 3 6.00000+ 0 1.00000+ 1 2.83839- 2 3.62579- 3 6.00000+ 0 1.10000+ 1 3.25412- 2 3.62620- 3 6.00000+ 0 1.60000+ 1 1.45385- 3 3.65435- 3 8.00000+ 0 8.00000+ 0 8.72175- 4 3.90868- 3 8.00000+ 0 1.00000+ 1 7.79616- 4 3.92783- 3 8.00000+ 0 1.10000+ 1 1.47733- 3 3.92824- 3 8.00000+ 0 1.60000+ 1 1.99359- 4 3.95639- 3 1.00000+ 1 1.00000+ 1 1.35157- 4 3.94698- 3 1.00000+ 1 1.10000+ 1 2.93344- 3 3.94739- 3 1.00000+ 1 1.60000+ 1 8.76773- 5 3.97554- 3 1.10000+ 1 1.10000+ 1 1.69495- 3 3.94780- 3 1.10000+ 1 1.60000+ 1 1.68035- 4 3.97595- 3 1 20000 0 7 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 9.42443- 5 7.50700- 5 6.00000+ 0 2.78501- 4 7.89100- 5 1.00000+ 1 2.04061- 4 4.00100- 4 1.10000+ 1 3.06021- 4 4.00510- 4 1 20000 0 9 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 1.26937- 1 2.19100- 5 5.00000+ 0 1.00000+ 1 7.72997- 2 4.10600- 5 5.00000+ 0 1.10000+ 1 9.32978- 2 4.14700- 5 5.00000+ 0 1.60000+ 1 1.42567- 2 6.96200- 5 6.00000+ 0 8.00000+ 0 2.53693- 1 2.57500- 5 6.00000+ 0 1.00000+ 1 8.92701- 2 4.49000- 5 6.00000+ 0 1.10000+ 1 2.24979- 1 4.53100- 5 6.00000+ 0 1.60000+ 1 2.73691- 2 7.34600- 5 8.00000+ 0 8.00000+ 0 1.31208- 2 3.27790- 4 8.00000+ 0 1.00000+ 1 2.28754- 2 3.46940- 4 8.00000+ 0 1.10000+ 1 4.52192- 2 3.47350- 4 8.00000+ 0 1.60000+ 1 2.68682- 3 3.75500- 4 1.00000+ 1 1.00000+ 1 5.21721- 4 3.66090- 4 1.00000+ 1 1.10000+ 1 2.67985- 4 3.66500- 4 1.00000+ 1 1.60000+ 1 2.04550- 3 3.94650- 4 1.10000+ 1 1.10000+ 1 1.23299- 3 3.66910- 4 1.10000+ 1 1.60000+ 1 4.04393- 3 3.95060- 4 1 20000 0 7 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 8.73376-12 3.84000- 6 8.00000+ 0 1.19571- 3 3.05880- 4 1.10000+ 1 8.74676- 7 3.25440- 4 1.60000+ 1 2.53632- 5 3.53590- 4 1 20000 0 9 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.08556- 2 2.52720- 4 8.00000+ 0 1.00000+ 1 1.98917- 1 2.71870- 4 8.00000+ 0 1.10000+ 1 1.45844- 2 2.72280- 4 8.00000+ 0 1.60000+ 1 2.13424- 3 3.00430- 4 1.00000+ 1 1.00000+ 1 1.61409- 1 2.91020- 4 1.00000+ 1 1.10000+ 1 5.70643- 1 2.91430- 4 1.00000+ 1 1.60000+ 1 2.29240- 2 3.19580- 4 1.10000+ 1 1.10000+ 1 1.58751- 2 2.91840- 4 1.10000+ 1 1.60000+ 1 1.43604- 3 3.19990- 4 1 20000 0 7 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.13130- 3 3.02040- 4 1.00000+ 1 4.05972- 7 3.21190- 4 1.10000+ 1 3.98812- 7 3.21600- 4 1.60000+ 1 2.39671- 5 3.49750- 4 1 20000 0 9 4.00800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.06175- 2 2.48880- 4 8.00000+ 0 1.00000+ 1 6.94101- 3 2.68030- 4 8.00000+ 0 1.10000+ 1 2.03179- 1 2.68440- 4 8.00000+ 0 1.60000+ 1 2.10301- 3 2.96590- 4 1.00000+ 1 1.00000+ 1 2.69658- 3 2.87180- 4 1.00000+ 1 1.10000+ 1 2.95034- 1 2.87590- 4 1.00000+ 1 1.60000+ 1 6.70949- 4 3.15740- 4 1.10000+ 1 1.10000+ 1 4.53602- 1 2.88000- 4 1.10000+ 1 1.60000+ 1 2.39998- 2 3.16150- 4 1 21000 0 0 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000- 1 1.40000+ 1 6.00000- 1 1.60000+ 1 2.00000+ 0 1 21000 0 0 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.46580- 3 3.00000+ 0 4.94290- 4 5.00000+ 0 4.13680- 4 6.00000+ 0 4.08860- 4 8.00000+ 0 6.09100- 5 1.00000+ 1 3.96000- 5 1.10000+ 1 3.90600- 5 1.30000+ 1 7.08000- 6 1.40000+ 1 7.04000- 6 1.60000+ 1 5.90000- 6 1 21000 0 0 4.49559+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.87560- 3 3.00000+ 0 1.02380- 3 5.00000+ 0 1.00580- 3 6.00000+ 0 9.86380- 4 8.00000+ 0 2.09550- 4 1.00000+ 1 1.80600- 4 1.10000+ 1 1.77630- 4 1.30000+ 1 9.93900- 5 1.40000+ 1 9.89200- 5 1.60000+ 1 2.15500- 5 1 21000 0 0 4.49559+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.84960-10 3.00000+ 0 1.79680- 9 5.00000+ 0 1.59210- 9 6.00000+ 0 1.60560- 9 8.00000+ 0 5.56460- 9 1.00000+ 1 5.95070- 9 1.10000+ 1 5.98930- 9 1.30000+ 1 8.24450- 9 1.40000+ 1 8.26380- 9 1.60000+ 1 1.96210- 8 1 21000 0 0 4.49559+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.49980- 7 3.00000+ 0 7.61260-10 5.00000+ 0 1.37620-10 6.00000+ 0 1.38860-10 8.00000+ 0 8.28690-12 1.00000+ 1 3.30950-12 1.10000+ 1 3.24870-12 1 21000 0 0 4.49559+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.50220- 7 3.00000+ 0 4.58610- 6 5.00000+ 0 2.26040- 7 6.00000+ 0 2.27840- 7 8.00000+ 0 1.48260- 6 1.00000+ 1 5.88600- 8 1.10000+ 1 4.99310- 8 1 21000 0 0 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.24121- 5 3.00000+ 0 4.14759- 5 5.00000+ 0 2.79163- 5 6.00000+ 0 2.77999- 5 8.00000+ 0 1.98528- 5 1.00000+ 1 1.36335- 5 1.10000+ 1 1.35121- 5 1.30000+ 1 7.08000- 6 1.40000+ 1 7.04000- 6 1.60000+ 1 5.90000- 6 1 21000 0 7 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.88933- 1 3.00000+ 0 2.41277- 3 5.00000+ 0 1.67739- 3 6.00000+ 0 1.58869- 3 8.00000+ 0 2.30629- 6 1.00000+ 1 3.31330- 9 1.10000+ 1 2.74909- 9 1 21000 0 7 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.62353- 4 3.00000+ 0 8.32824- 7 5.00000+ 0 5.98258- 7 6.00000+ 0 5.58760- 7 8.00000+ 0 5.00310-11 1.00000+ 1 1.09124-13 1.10000+ 1 8.91530-14 1 21000 0 9 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.75919+ 0 3.00000+ 0 5.14994+ 0 5.00000+ 0 3.12042+ 0 6.00000+ 0 3.11724+ 0 8.00000+ 0 1.97439+ 0 1.00000+ 1 1.00000+ 0 1.10000+ 1 1.00000+ 0 1 21000 0 9 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.65104- 3 3.00000+ 0 4.51981- 4 5.00000+ 0 3.85165- 4 6.00000+ 0 3.80501- 4 8.00000+ 0 4.10571- 5 1.00000+ 1 2.59665- 5 1.10000+ 1 2.55479- 5 1 21000 0 7 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 5.63841- 2 4.05212- 3 6.00000+ 0 1.11130- 1 4.05694- 3 1.00000+ 1 6.22301- 3 4.42620- 3 1.10000+ 1 1.23040- 2 4.42674- 3 1.30000+ 1 1.96120- 7 4.45872- 3 1.40000+ 1 2.89041- 7 4.45876- 3 1 21000 0 9 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 5.44637- 2 3.47722- 3 3.00000+ 0 5.00000+ 0 6.00783- 2 3.55783- 3 3.00000+ 0 6.00000+ 0 1.13385- 1 3.56265- 3 3.00000+ 0 8.00000+ 0 1.40482- 2 3.91060- 3 3.00000+ 0 1.00000+ 1 7.19748- 3 3.93191- 3 3.00000+ 0 1.10000+ 1 1.35473- 2 3.93245- 3 3.00000+ 0 1.30000+ 1 2.38431- 5 3.96443- 3 3.00000+ 0 1.40000+ 1 3.40637- 5 3.96447- 3 3.00000+ 0 1.60000+ 1 1.53284- 3 3.96561- 3 5.00000+ 0 5.00000+ 0 1.08769- 2 3.63844- 3 5.00000+ 0 6.00000+ 0 2.67036- 1 3.64326- 3 5.00000+ 0 8.00000+ 0 6.70028- 3 3.99121- 3 5.00000+ 0 1.00000+ 1 2.47982- 3 4.01252- 3 5.00000+ 0 1.10000+ 1 2.80789- 2 4.01306- 3 5.00000+ 0 1.30000+ 1 3.40644- 5 4.04504- 3 5.00000+ 0 1.40000+ 1 1.29436- 4 4.04508- 3 5.00000+ 0 1.60000+ 1 7.15337- 4 4.04622- 3 6.00000+ 0 6.00000+ 0 1.50576- 1 3.64808- 3 6.00000+ 0 8.00000+ 0 1.26825- 2 3.99603- 3 6.00000+ 0 1.00000+ 1 2.80366- 2 4.01734- 3 6.00000+ 0 1.10000+ 1 3.20895- 2 4.01788- 3 6.00000+ 0 1.30000+ 1 1.63498- 4 4.04986- 3 6.00000+ 0 1.40000+ 1 1.63498- 4 4.04990- 3 6.00000+ 0 1.60000+ 1 1.35901- 3 4.05104- 3 8.00000+ 0 8.00000+ 0 8.95876- 4 4.34398- 3 8.00000+ 0 1.00000+ 1 8.07310- 4 4.36529- 3 8.00000+ 0 1.10000+ 1 1.51925- 3 4.36583- 3 8.00000+ 0 1.30000+ 1 3.40645- 6 4.39781- 3 8.00000+ 0 1.40000+ 1 3.40645- 6 4.39785- 3 8.00000+ 0 1.60000+ 1 1.94159- 4 4.39899- 3 1.00000+ 1 1.00000+ 1 1.36257- 4 4.38660- 3 1.00000+ 1 1.10000+ 1 2.96706- 3 4.38714- 3 1.00000+ 1 1.30000+ 1 3.40644- 6 4.41912- 3 1.00000+ 1 1.40000+ 1 1.02198- 5 4.41916- 3 1.00000+ 1 1.60000+ 1 8.51593- 5 4.42030- 3 1.10000+ 1 1.10000+ 1 1.70995- 3 4.38768- 3 1.10000+ 1 1.30000+ 1 1.36255- 5 4.41966- 3 1.10000+ 1 1.40000+ 1 1.36255- 5 4.41970- 3 1.10000+ 1 1.60000+ 1 1.63502- 4 4.42084- 3 1 21000 0 7 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 7.81037- 5 8.06100- 5 6.00000+ 0 2.40919- 4 8.54300- 5 1.00000+ 1 2.62569- 4 4.54690- 4 1.10000+ 1 3.88779- 4 4.55230- 4 1.30000+ 1 1.37519- 7 4.87210- 4 1.40000+ 1 2.05159- 7 4.87250- 4 1 21000 0 9 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 1.06879- 1 1.97000- 5 5.00000+ 0 1.00000+ 1 6.92471- 2 4.10100- 5 5.00000+ 0 1.10000+ 1 8.61788- 2 4.15500- 5 5.00000+ 0 1.30000+ 1 1.23062- 2 7.35300- 5 5.00000+ 0 1.40000+ 1 2.05685- 2 7.35700- 5 5.00000+ 0 1.60000+ 1 1.17590- 2 7.47100- 5 6.00000+ 0 8.00000+ 0 2.10562- 1 2.45200- 5 6.00000+ 0 1.00000+ 1 8.17994- 2 4.58300- 5 6.00000+ 0 1.10000+ 1 2.00993- 1 4.63700- 5 6.00000+ 0 1.30000+ 1 2.77421- 2 7.83500- 5 6.00000+ 0 1.40000+ 1 3.91714- 2 7.83900- 5 6.00000+ 0 1.60000+ 1 2.24097- 2 7.95300- 5 8.00000+ 0 8.00000+ 0 1.43325- 2 3.72470- 4 8.00000+ 0 1.00000+ 1 2.52717- 2 3.93780- 4 8.00000+ 0 1.10000+ 1 4.98762- 2 3.94320- 4 8.00000+ 0 1.30000+ 1 2.24442- 3 4.26300- 4 8.00000+ 0 1.40000+ 1 3.33368- 3 4.26340- 4 8.00000+ 0 1.60000+ 1 2.81112- 3 4.27480- 4 1.00000+ 1 1.00000+ 1 5.37809- 4 4.15090- 4 1.00000+ 1 1.10000+ 1 3.62109- 4 4.15630- 4 1.00000+ 1 1.30000+ 1 3.36123- 5 4.47610- 4 1.00000+ 1 1.40000+ 1 5.25574- 4 4.47650- 4 1.00000+ 1 1.60000+ 1 2.16038- 3 4.48790- 4 1.10000+ 1 1.10000+ 1 1.49569- 3 4.16170- 4 1.10000+ 1 1.30000+ 1 6.62433- 4 4.48150- 4 1.10000+ 1 1.40000+ 1 4.96826- 4 4.48190- 4 1.10000+ 1 1.60000+ 1 4.81792- 3 4.49330- 4 1.30000+ 1 1.60000+ 1 1.81819- 4 4.81310- 4 1.40000+ 1 1.60000+ 1 2.68909- 4 4.81350- 4 1 21000 0 7 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.65549-11 4.82000- 6 8.00000+ 0 1.55229- 3 3.52770- 4 1.10000+ 1 1.42119- 6 3.74620- 4 1.30000+ 1 9.27695- 5 4.06600- 4 1.60000+ 1 3.03898- 5 4.07780- 4 1 21000 0 9 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.00960- 2 2.91860- 4 8.00000+ 0 1.00000+ 1 1.83509- 1 3.13170- 4 8.00000+ 0 1.10000+ 1 1.37264- 2 3.13710- 4 8.00000+ 0 1.30000+ 1 1.39422- 3 3.45690- 4 8.00000+ 0 1.40000+ 1 1.57445- 3 3.45730- 4 8.00000+ 0 1.60000+ 1 1.89902- 3 3.46870- 4 1.00000+ 1 1.00000+ 1 1.50851- 1 3.34480- 4 1.00000+ 1 1.10000+ 1 5.31502- 1 3.35020- 4 1.00000+ 1 1.30000+ 1 1.57803- 2 3.67000- 4 1.00000+ 1 1.40000+ 1 3.17545- 2 3.67040- 4 1.00000+ 1 1.60000+ 1 2.02290- 2 3.68180- 4 1.10000+ 1 1.10000+ 1 1.47351- 2 3.35560- 4 1.10000+ 1 1.30000+ 1 1.68501- 2 3.67540- 4 1.10000+ 1 1.40000+ 1 2.81247- 3 3.67580- 4 1.10000+ 1 1.60000+ 1 1.29809- 3 3.68720- 4 1.30000+ 1 1.60000+ 1 1.44229- 4 4.00700- 4 1.40000+ 1 1.60000+ 1 1.68269- 4 4.00740- 4 1 21000 0 7 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.47392- 3 3.47950- 4 1.00000+ 1 6.61778- 7 3.69260- 4 1.10000+ 1 6.49648- 7 3.69800- 4 1.30000+ 1 6.52158- 6 4.01780- 4 1.40000+ 1 7.76419- 5 4.01820- 4 1.60000+ 1 2.87763- 5 4.02960- 4 1 21000 0 9 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 9.97238- 3 2.87040- 4 8.00000+ 0 1.00000+ 1 6.53747- 3 3.08350- 4 8.00000+ 0 1.10000+ 1 1.88760- 1 3.08890- 4 8.00000+ 0 1.30000+ 1 1.12514- 3 3.40870- 4 8.00000+ 0 1.40000+ 1 1.96599- 3 3.40910- 4 8.00000+ 0 1.60000+ 1 1.87132- 3 3.42050- 4 1.00000+ 1 1.00000+ 1 2.54640- 3 3.29660- 4 1.00000+ 1 1.10000+ 1 2.76957- 1 3.30200- 4 1.00000+ 1 1.30000+ 1 8.52748- 4 3.62180- 4 1.00000+ 1 1.40000+ 1 8.94196- 3 3.62220- 4 1.00000+ 1 1.60000+ 1 6.15890- 4 3.63360- 4 1.10000+ 1 1.10000+ 1 4.18488- 1 3.30740- 4 1.10000+ 1 1.30000+ 1 2.38249- 2 3.62720- 4 1.10000+ 1 1.40000+ 1 3.46554- 2 3.62760- 4 1.10000+ 1 1.60000+ 1 2.09778- 2 3.63900- 4 1.30000+ 1 1.60000+ 1 1.18441- 4 3.95880- 4 1.40000+ 1 1.60000+ 1 2.01342- 4 3.95920- 4 1 21000 0 7 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 7.26321- 7 2.13100- 5 1.10000+ 1 1.57710- 6 2.18500- 5 1 21000 0 9 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 4.27884- 2 1.42300- 5 1.00000+ 1 1.40000+ 1 1.17811- 1 1.42700- 5 1.00000+ 1 1.60000+ 1 1.65321- 1 1.54100- 5 1.10000+ 1 1.30000+ 1 1.51515- 1 1.47700- 5 1.10000+ 1 1.40000+ 1 1.75993- 1 1.48100- 5 1.10000+ 1 1.60000+ 1 3.20963- 1 1.59500- 5 1.30000+ 1 1.40000+ 1 1.93316- 3 4.67900- 5 1.30000+ 1 1.60000+ 1 9.49786- 3 4.79300- 5 1.40000+ 1 1.60000+ 1 1.41750- 2 4.79700- 5 1 21000 0 7 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.14750- 9 3.25200- 5 1.60000+ 1 1.16580- 9 3.37000- 5 1 21000 0 9 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.40000+ 1 5.75791- 1 2.54800- 5 1.30000+ 1 1.60000+ 1 3.52630- 1 2.66200- 5 1.40000+ 1 1.60000+ 1 7.15791- 2 2.66600- 5 1 21000 0 7 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.74670-10 3.19800- 5 1.40000+ 1 1.57960- 9 3.20200- 5 1.60000+ 1 9.94820-10 3.31600- 5 1 21000 0 9 4.49559+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.40000+ 1 4.81534- 1 2.49400- 5 1.30000+ 1 1.60000+ 1 9.69755- 2 2.60800- 5 1.40000+ 1 1.60000+ 1 4.21490- 1 2.61200- 5 1 22000 0 0 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 8.00000- 1 1.40000+ 1 1.20000+ 0 1.60000+ 1 2.00000+ 0 1 22000 0 0 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.94060- 3 3.00000+ 0 5.57440- 4 5.00000+ 0 4.71220- 4 6.00000+ 0 4.65240- 4 8.00000+ 0 6.86100- 5 1.00000+ 1 4.51000- 5 1.10000+ 1 4.44200- 5 1.30000+ 1 8.39000- 6 1.40000+ 1 8.34000- 6 1.60000+ 1 6.28000- 6 1 22000 0 0 4.79000+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.46900- 3 3.00000+ 0 1.14560- 3 5.00000+ 0 1.12800- 3 6.00000+ 0 1.10420- 3 8.00000+ 0 2.39280- 4 1.00000+ 1 2.08200- 4 1.10000+ 1 2.04400- 4 1.30000+ 1 1.20870- 4 1.40000+ 1 1.20220- 4 1.60000+ 1 2.41400- 5 1 22000 0 0 4.79000+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.66850-10 3.00000+ 0 1.70060- 9 5.00000+ 0 1.50100- 9 6.00000+ 0 1.51490- 9 8.00000+ 0 5.22860- 9 1.00000+ 1 5.54910- 9 1.10000+ 1 5.59160- 9 1.30000+ 1 7.41430- 9 1.40000+ 1 7.43360- 9 1.60000+ 1 1.85670- 8 1 22000 0 0 4.79000+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.85950- 7 3.00000+ 0 1.01000- 9 5.00000+ 0 2.87030-10 6.00000+ 0 2.87550-10 8.00000+ 0 9.85290-12 1.00000+ 1 6.82580-12 1.10000+ 1 6.63690-12 1 22000 0 0 4.79000+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.72950- 7 3.00000+ 0 5.26480- 6 5.00000+ 0 2.50340- 7 6.00000+ 0 2.52730- 7 8.00000+ 0 2.11740- 6 1.00000+ 1 1.91780- 7 1.10000+ 1 1.64800- 7 1 22000 0 0 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.92344- 5 3.00000+ 0 4.71208- 5 5.00000+ 0 3.22034- 5 6.00000+ 0 3.20649- 5 8.00000+ 0 2.33025- 5 1.00000+ 1 1.61946- 5 1.10000+ 1 1.59688- 5 1.30000+ 1 8.39000- 6 1.40000+ 1 8.34000- 6 1.60000+ 1 6.28000- 6 1 22000 0 7 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.17231- 1 3.00000+ 0 2.93959- 3 5.00000+ 0 2.22970- 3 6.00000+ 0 2.11314- 3 8.00000+ 0 3.73207- 6 1.00000+ 1 5.29609- 8 1.10000+ 1 4.42175- 8 1 22000 0 7 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.65952- 4 3.00000+ 0 1.18992- 6 5.00000+ 0 9.09960- 7 6.00000+ 0 8.49665- 7 8.00000+ 0 9.00511-11 1.00000+ 1 1.95693-12 1.10000+ 1 1.60207-12 1 22000 0 9 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.40701+ 0 3.00000+ 0 4.90332+ 0 5.00000+ 0 3.00888+ 0 6.00000+ 0 3.01309+ 0 8.00000+ 0 1.95873+ 0 1.00000+ 1 1.00000+ 0 1.10000+ 1 1.00000+ 0 1 22000 0 9 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.91541- 3 3.00000+ 0 5.09129- 4 5.00000+ 0 4.38107- 4 6.00000+ 0 4.32325- 4 8.00000+ 0 4.53074- 5 1.00000+ 1 2.89054- 5 1.10000+ 1 2.84512- 5 1 22000 0 7 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 6.45982- 2 4.46938- 3 6.00000+ 0 1.27140- 1 4.47536- 3 1.00000+ 1 7.32672- 3 4.89550- 3 1.10000+ 1 1.44750- 2 4.89618- 3 1.30000+ 1 5.90112- 7 4.93221- 3 1.40000+ 1 8.68503- 7 4.93226- 3 1 22000 0 9 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 5.25664- 2 3.82572- 3 3.00000+ 0 5.00000+ 0 5.80942- 2 3.91194- 3 3.00000+ 0 6.00000+ 0 1.08980- 1 3.91792- 3 3.00000+ 0 8.00000+ 0 1.37318- 2 4.31455- 3 3.00000+ 0 1.00000+ 1 7.10433- 3 4.33806- 3 3.00000+ 0 1.10000+ 1 1.32891- 2 4.33874- 3 3.00000+ 0 1.30000+ 1 5.40610- 5 4.37477- 3 3.00000+ 0 1.40000+ 1 7.63221- 5 4.37482- 3 3.00000+ 0 1.60000+ 1 1.43421- 3 4.37688- 3 5.00000+ 0 5.00000+ 0 1.05137- 2 3.99816- 3 5.00000+ 0 6.00000+ 0 2.56940- 1 4.00414- 3 5.00000+ 0 8.00000+ 0 6.54144- 3 4.40077- 3 5.00000+ 0 1.00000+ 1 2.44544- 3 4.42428- 3 5.00000+ 0 1.10000+ 1 2.74697- 2 4.42496- 3 5.00000+ 0 1.30000+ 1 7.63225- 5 4.46099- 3 5.00000+ 0 1.40000+ 1 2.83040- 4 4.46104- 3 5.00000+ 0 1.60000+ 1 6.71007- 4 4.46310- 3 6.00000+ 0 6.00000+ 0 1.44597- 1 4.01012- 3 6.00000+ 0 8.00000+ 0 1.23096- 2 4.40675- 3 6.00000+ 0 1.00000+ 1 2.74360- 2 4.43026- 3 6.00000+ 0 1.10000+ 1 3.13528- 2 4.43094- 3 6.00000+ 0 1.30000+ 1 3.52997- 4 4.46697- 3 6.00000+ 0 1.40000+ 1 3.49815- 4 4.46702- 3 6.00000+ 0 1.60000+ 1 1.26258- 3 4.46908- 3 8.00000+ 0 8.00000+ 0 8.87223- 4 4.80338- 3 8.00000+ 0 1.00000+ 1 8.04561- 4 4.82689- 3 8.00000+ 0 1.10000+ 1 1.50738- 3 4.82757- 3 8.00000+ 0 1.30000+ 1 6.36014- 6 4.86360- 3 8.00000+ 0 1.40000+ 1 9.53986- 6 4.86365- 3 8.00000+ 0 1.60000+ 1 1.84445- 4 4.86571- 3 1.00000+ 1 1.00000+ 1 1.36747- 4 4.85040- 3 1.00000+ 1 1.10000+ 1 2.95428- 3 4.85108- 3 1.00000+ 1 1.30000+ 1 6.36020- 6 4.88711- 3 1.00000+ 1 1.40000+ 1 2.54413- 5 4.88716- 3 1.00000+ 1 1.60000+ 1 8.26823- 5 4.88922- 3 1.10000+ 1 1.10000+ 1 1.70129- 3 4.85176- 3 1.10000+ 1 1.30000+ 1 3.18004- 5 4.88779- 3 1.10000+ 1 1.40000+ 1 3.18004- 5 4.88784- 3 1.10000+ 1 1.60000+ 1 1.55815- 4 4.88990- 3 1 22000 0 7 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 6.36048- 5 8.62200- 5 6.00000+ 0 2.04399- 4 9.22000- 5 1.00000+ 1 3.22289- 4 5.12340- 4 1.10000+ 1 4.71549- 4 5.13020- 4 1.30000+ 1 3.05709- 7 5.49050- 4 1.40000+ 1 4.55949- 7 5.49100- 4 1 22000 0 9 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 8.92384- 2 1.76100- 5 5.00000+ 0 1.00000+ 1 6.24746- 2 4.11200- 5 5.00000+ 0 1.10000+ 1 7.98402- 2 4.18000- 5 5.00000+ 0 1.30000+ 1 2.12067- 2 7.78300- 5 5.00000+ 0 1.40000+ 1 3.52342- 2 7.78800- 5 5.00000+ 0 1.60000+ 1 9.79495- 3 7.99400- 5 6.00000+ 0 8.00000+ 0 1.82735- 1 2.35900- 5 6.00000+ 0 1.00000+ 1 7.49562- 2 4.71000- 5 6.00000+ 0 1.10000+ 1 1.80856- 1 4.77800- 5 6.00000+ 0 1.30000+ 1 4.80906- 2 8.38100- 5 6.00000+ 0 1.40000+ 1 6.78584- 2 8.38600- 5 6.00000+ 0 1.60000+ 1 1.85422- 2 8.59200- 5 8.00000+ 0 8.00000+ 0 1.55150- 2 4.20220- 4 8.00000+ 0 1.00000+ 1 2.75747- 2 4.43730- 4 8.00000+ 0 1.10000+ 1 5.43486- 2 4.44410- 4 8.00000+ 0 1.30000+ 1 5.10217- 3 4.80440- 4 8.00000+ 0 1.40000+ 1 7.56993- 3 4.80490- 4 8.00000+ 0 1.60000+ 1 2.90923- 3 4.82550- 4 1.00000+ 1 1.00000+ 1 5.19751- 4 4.67240- 4 1.00000+ 1 1.10000+ 1 4.39794- 4 4.67920- 4 1.00000+ 1 1.30000+ 1 7.07345- 5 5.03950- 4 1.00000+ 1 1.40000+ 1 1.17018- 3 5.04000- 4 1.00000+ 1 1.60000+ 1 2.12513- 3 5.06060- 4 1.10000+ 1 1.10000+ 1 1.51055- 3 4.68600- 4 1.10000+ 1 1.30000+ 1 1.46878- 3 5.04630- 4 1.10000+ 1 1.40000+ 1 1.09240- 3 5.04680- 4 1.10000+ 1 1.60000+ 1 4.74755- 3 5.06740- 4 1.30000+ 1 1.30000+ 1 1.30245- 5 5.40660- 4 1.30000+ 1 1.40000+ 1 7.48871- 4 5.40710- 4 1.30000+ 1 1.60000+ 1 3.94001- 4 5.42770- 4 1.40000+ 1 1.40000+ 1 2.05119- 4 5.40760- 4 1.40000+ 1 1.60000+ 1 5.84429- 4 5.42820- 4 1 22000 0 7 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 3.05500-11 5.98000- 6 8.00000+ 0 2.01990- 3 4.02610- 4 1.10000+ 1 2.27320- 6 4.26800- 4 1.30000+ 1 1.68880- 4 4.62830- 4 1.60000+ 1 3.77960- 5 4.64940- 4 1 22000 0 9 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 9.19714- 3 3.34000- 4 8.00000+ 0 1.00000+ 1 1.66747- 1 3.57510- 4 8.00000+ 0 1.10000+ 1 1.26998- 2 3.58190- 4 8.00000+ 0 1.30000+ 1 2.37523- 3 3.94220- 4 8.00000+ 0 1.40000+ 1 2.97171- 3 3.94270- 4 8.00000+ 0 1.60000+ 1 1.65938- 3 3.96330- 4 1.00000+ 1 1.00000+ 1 1.38651- 1 3.81020- 4 1.00000+ 1 1.10000+ 1 4.87082- 1 3.81700- 4 1.00000+ 1 1.30000+ 1 3.03146- 2 4.17730- 4 1.00000+ 1 1.40000+ 1 6.04784- 2 4.17780- 4 1.00000+ 1 1.60000+ 1 1.76254- 2 4.19840- 4 1.10000+ 1 1.10000+ 1 1.34814- 2 3.82380- 4 1.10000+ 1 1.30000+ 1 3.30905- 2 4.18410- 4 1.10000+ 1 1.40000+ 1 5.36858- 3 4.18460- 4 1.10000+ 1 1.60000+ 1 1.16053- 3 4.20520- 4 1.30000+ 1 1.30000+ 1 2.45116- 3 4.54440- 4 1.30000+ 1 1.40000+ 1 1.13332- 2 4.54490- 4 1.30000+ 1 1.60000+ 1 2.38612- 4 4.56550- 4 1.40000+ 1 1.40000+ 1 5.53118- 4 4.54540- 4 1.40000+ 1 1.60000+ 1 2.92833- 4 4.56600- 4 1 22000 0 7 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.91569- 3 3.96630- 4 1.00000+ 1 1.07660- 6 4.20140- 4 1.10000+ 1 1.05590- 6 4.20820- 4 1.30000+ 1 1.24250- 5 4.56850- 4 1.40000+ 1 1.45989- 4 4.56900- 4 1.60000+ 1 3.60539- 5 4.58960- 4 1 22000 0 9 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 9.20824- 3 3.28020- 4 8.00000+ 0 1.00000+ 1 6.08138- 3 3.51530- 4 8.00000+ 0 1.10000+ 1 1.73192- 1 3.52210- 4 8.00000+ 0 1.30000+ 1 2.11332- 3 3.88240- 4 8.00000+ 0 1.40000+ 1 3.49352- 3 3.88290- 4 8.00000+ 0 1.60000+ 1 1.66044- 3 3.90350- 4 1.00000+ 1 1.00000+ 1 2.36133- 3 3.75040- 4 1.00000+ 1 1.10000+ 1 2.56375- 1 3.75720- 4 1.00000+ 1 1.30000+ 1 1.72508- 3 4.11750- 4 1.00000+ 1 1.40000+ 1 1.76177- 2 4.11800- 4 1.00000+ 1 1.60000+ 1 5.49876- 4 4.13860- 4 1.10000+ 1 1.10000+ 1 3.81701- 1 3.76400- 4 1.10000+ 1 1.30000+ 1 4.53387- 2 4.12430- 4 1.10000+ 1 1.40000+ 1 6.64192- 2 4.12480- 4 1.10000+ 1 1.60000+ 1 1.81892- 2 4.14540- 4 1.30000+ 1 1.30000+ 1 4.20504- 4 4.48460- 4 1.30000+ 1 1.40000+ 1 8.58282- 3 4.48510- 4 1.30000+ 1 1.60000+ 1 2.15641- 4 4.50570- 4 1.40000+ 1 1.40000+ 1 2.49432- 3 4.48560- 4 1.40000+ 1 1.60000+ 1 1.48366- 4 4.50620- 4 1 22000 0 7 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.15240- 6 2.35100- 5 1.10000+ 1 2.53450- 6 2.41900- 5 1 22000 0 9 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 5.57137- 2 1.51200- 5 1.00000+ 1 1.40000+ 1 1.44675- 1 1.51700- 5 1.00000+ 1 1.60000+ 1 1.16861- 1 1.72300- 5 1.10000+ 1 1.30000+ 1 1.95816- 1 1.58000- 5 1.10000+ 1 1.40000+ 1 2.21073- 1 1.58500- 5 1.10000+ 1 1.60000+ 1 2.24592- 1 1.79100- 5 1.30000+ 1 1.40000+ 1 5.39645- 3 5.18800- 5 1.30000+ 1 1.60000+ 1 1.42666- 2 5.39400- 5 1.40000+ 1 1.40000+ 1 3.15686- 4 5.19300- 5 1.40000+ 1 1.60000+ 1 2.12863- 2 5.39900- 5 1 22000 0 7 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.69270- 8 3.67100- 5 1.60000+ 1 6.03399- 9 3.88200- 5 1 22000 0 9 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.40000+ 1 7.37420- 1 2.83700- 5 1.30000+ 1 1.60000+ 1 2.16949- 1 3.04300- 5 1.40000+ 1 1.40000+ 1 3.78843- 3 2.84200- 5 1.40000+ 1 1.60000+ 1 4.18425- 2 3.04800- 5 1 22000 0 7 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.06340- 9 3.60300- 5 1.40000+ 1 3.68000- 8 3.60800- 5 1.60000+ 1 3.35410- 9 3.81400- 5 1 22000 0 9 4.79000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.40000+ 1 5.42755- 1 2.76900- 5 1.30000+ 1 1.60000+ 1 5.12654- 2 2.97500- 5 1.40000+ 1 1.40000+ 1 9.75821- 2 2.77400- 5 1.40000+ 1 1.60000+ 1 3.08398- 1 2.98000- 5 1 23000 0 0 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 1.20000+ 0 1.40000+ 1 1.80000+ 0 1.60000+ 1 2.00000+ 0 1 23000 0 0 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.43960- 3 3.00000+ 0 6.23790- 4 5.00000+ 0 5.31880- 4 6.00000+ 0 5.24540- 4 8.00000+ 0 7.64200- 5 1.00000+ 1 5.06500- 5 1.10000+ 1 4.97900- 5 1.30000+ 1 9.61000- 6 1.40000+ 1 9.53000- 6 1.60000+ 1 6.63000- 6 1 23000 0 0 5.09415+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.09290- 3 3.00000+ 0 1.27450- 3 5.00000+ 0 1.25760- 3 6.00000+ 0 1.22860- 3 8.00000+ 0 2.70370- 4 1.00000+ 1 2.37100- 4 1.10000+ 1 2.32310- 4 1.30000+ 1 1.43060- 4 1.40000+ 1 1.42190- 4 1.60000+ 1 2.65400- 5 1 23000 0 0 5.09415+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.50280-10 3.00000+ 0 1.61410- 9 5.00000+ 0 1.41950- 9 6.00000+ 0 1.43420- 9 8.00000+ 0 4.93130- 9 1.00000+ 1 5.20930- 9 1.10000+ 1 5.25180- 9 1.30000+ 1 6.78480- 9 1.40000+ 1 6.80800- 9 1.60000+ 1 1.77050- 8 1 23000 0 0 5.09415+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.27880- 7 3.00000+ 0 1.31060- 9 5.00000+ 0 5.20450-10 6.00000+ 0 5.19140-10 8.00000+ 0 1.16130-11 1.00000+ 1 1.16400-11 1.10000+ 1 1.12390-11 1 23000 0 0 5.09415+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.94030- 7 3.00000+ 0 5.91610- 6 5.00000+ 0 2.79730- 7 6.00000+ 0 2.83070- 7 8.00000+ 0 2.63680- 6 1.00000+ 1 4.07120- 7 1.10000+ 1 3.81270- 7 1 23000 0 0 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.50208- 5 3.00000+ 0 5.22564- 5 5.00000+ 0 3.61350- 5 6.00000+ 0 3.58406- 5 8.00000+ 0 2.66968- 5 1.00000+ 1 1.86230- 5 1.10000+ 1 1.85136- 5 1.30000+ 1 9.61000- 6 1.40000+ 1 9.53000- 6 1.60000+ 1 6.63000- 6 1 23000 0 7 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.47174- 1 3.00000+ 0 3.54672- 3 5.00000+ 0 2.88585- 3 6.00000+ 0 2.73654- 3 8.00000+ 0 5.78423- 6 1.00000+ 1 2.67808- 7 1.10000+ 1 2.24972- 7 1 23000 0 7 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.20578- 3 3.00000+ 0 1.65208- 6 5.00000+ 0 1.33722- 6 6.00000+ 0 1.24812- 6 8.00000+ 0 1.55732-10 1.00000+ 1 1.10556-11 1.10000+ 1 9.08099-12 1 23000 0 9 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.03586+ 0 3.00000+ 0 4.66888+ 0 5.00000+ 0 2.90006+ 0 6.00000+ 0 2.87624+ 0 8.00000+ 0 1.94474+ 0 1.00000+ 1 1.00000+ 0 1.10000+ 1 1.00000+ 0 1 23000 0 9 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.16880- 3 3.00000+ 0 5.69882- 4 5.00000+ 0 4.94408- 4 6.00000+ 0 4.87451- 4 8.00000+ 0 4.97230- 5 1.00000+ 1 3.20270- 5 1.10000+ 1 3.12764- 5 1 23000 0 7 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 7.32827- 2 4.90772- 3 6.00000+ 0 1.44051- 1 4.91506- 3 1.00000+ 1 8.48408- 3 5.38895- 3 1.10000+ 1 1.67441- 2 5.38981- 3 1.30000+ 1 1.26461- 6 5.42999- 3 1.40000+ 1 1.85722- 6 5.43007- 3 1 23000 0 9 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 5.06652- 2 4.19202- 3 3.00000+ 0 5.00000+ 0 5.60441- 2 4.28393- 3 3.00000+ 0 6.00000+ 0 1.04478- 1 4.29127- 3 3.00000+ 0 8.00000+ 0 1.33606- 2 4.73939- 3 3.00000+ 0 1.00000+ 1 6.96391- 3 4.76516- 3 3.00000+ 0 1.10000+ 1 1.29360- 2 4.76602- 3 3.00000+ 0 1.30000+ 1 8.61211- 5 4.80620- 3 3.00000+ 0 1.40000+ 1 1.21752- 4 4.80628- 3 3.00000+ 0 1.60000+ 1 1.33636- 3 4.80918- 3 5.00000+ 0 5.00000+ 0 1.01377- 2 4.37584- 3 5.00000+ 0 6.00000+ 0 2.46529- 1 4.38318- 3 5.00000+ 0 8.00000+ 0 6.34891- 3 4.83130- 3 5.00000+ 0 1.00000+ 1 2.39054- 3 4.85707- 3 5.00000+ 0 1.10000+ 1 2.67023- 2 4.85793- 3 5.00000+ 0 1.30000+ 1 1.18782- 4 4.89811- 3 5.00000+ 0 1.40000+ 1 4.51375- 4 4.89819- 3 5.00000+ 0 1.60000+ 1 6.23612- 4 4.90109- 3 6.00000+ 0 6.00000+ 0 1.38452- 1 4.39052- 3 6.00000+ 0 8.00000+ 0 1.18782- 2 4.83864- 3 6.00000+ 0 1.00000+ 1 2.66752- 2 4.86441- 3 6.00000+ 0 1.10000+ 1 3.04260- 2 4.86527- 3 6.00000+ 0 1.30000+ 1 5.58286- 4 4.90545- 3 6.00000+ 0 1.40000+ 1 5.55318- 4 4.90553- 3 6.00000+ 0 1.60000+ 1 1.16710- 3 4.90843- 3 8.00000+ 0 8.00000+ 0 8.70167- 4 5.28676- 3 8.00000+ 0 1.00000+ 1 7.92912- 4 5.31253- 3 8.00000+ 0 1.10000+ 1 1.47595- 3 5.31339- 3 8.00000+ 0 1.30000+ 1 8.90924- 6 5.35357- 3 8.00000+ 0 1.40000+ 1 1.18788- 5 5.35365- 3 8.00000+ 0 1.60000+ 1 1.75214- 4 5.35655- 3 1.00000+ 1 1.00000+ 1 1.36607- 4 5.33830- 3 1.00000+ 1 1.10000+ 1 2.91032- 3 5.33916- 3 1.00000+ 1 1.30000+ 1 8.90920- 6 5.37934- 3 1.00000+ 1 1.40000+ 1 4.15756- 5 5.37942- 3 1.00000+ 1 1.60000+ 1 7.72150- 5 5.38232- 3 1.10000+ 1 1.10000+ 1 1.67195- 3 5.34002- 3 1.10000+ 1 1.30000+ 1 5.04825- 5 5.38020- 3 1.10000+ 1 1.40000+ 1 5.04825- 5 5.38028- 3 1.10000+ 1 1.60000+ 1 1.45503- 4 5.38318- 3 1 23000 0 7 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 5.14719- 5 9.19100- 5 6.00000+ 0 1.72900- 4 9.92500- 5 1.00000+ 1 3.78930- 4 5.73140- 4 1.10000+ 1 5.53899- 4 5.74000- 4 1.30000+ 1 5.66349- 7 6.14180- 4 1.40000+ 1 8.29699- 7 6.14260- 4 1 23000 0 9 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 6.92685- 2 1.54900- 5 5.00000+ 0 1.00000+ 1 5.76641- 2 4.12600- 5 5.00000+ 0 1.10000+ 1 7.55563- 2 4.21200- 5 5.00000+ 0 1.30000+ 1 2.77886- 2 8.23000- 5 5.00000+ 0 1.40000+ 1 4.59216- 2 8.23800- 5 5.00000+ 0 1.60000+ 1 8.42067- 3 8.52800- 5 6.00000+ 0 8.00000+ 0 1.66366- 1 2.28300- 5 6.00000+ 0 1.00000+ 1 7.00676- 2 4.86000- 5 6.00000+ 0 1.10000+ 1 1.65786- 1 4.94600- 5 6.00000+ 0 1.30000+ 1 6.36193- 2 8.96400- 5 6.00000+ 0 1.40000+ 1 8.97964- 2 8.97200- 5 6.00000+ 0 1.60000+ 1 1.58339- 2 9.26200- 5 8.00000+ 0 8.00000+ 0 1.58894- 2 4.70950- 4 8.00000+ 0 1.00000+ 1 2.83859- 2 4.96720- 4 8.00000+ 0 1.10000+ 1 5.58558- 2 4.97580- 4 8.00000+ 0 1.30000+ 1 8.14935- 3 5.37760- 4 8.00000+ 0 1.40000+ 1 1.20761- 2 5.37840- 4 8.00000+ 0 1.60000+ 1 2.85333- 3 5.40740- 4 1.00000+ 1 1.00000+ 1 4.99188- 4 5.22490- 4 1.00000+ 1 1.10000+ 1 5.13101- 4 5.23350- 4 1.00000+ 1 1.30000+ 1 1.11271- 4 5.63530- 4 1.00000+ 1 1.40000+ 1 1.92563- 3 5.63610- 4 1.00000+ 1 1.60000+ 1 2.08020- 3 5.66510- 4 1.10000+ 1 1.10000+ 1 1.42664- 3 5.24210- 4 1.10000+ 1 1.30000+ 1 2.25627- 3 5.64390- 4 1.10000+ 1 1.40000+ 1 1.66420- 3 5.64470- 4 1.10000+ 1 1.60000+ 1 4.37048- 3 5.67370- 4 1.30000+ 1 1.30000+ 1 4.45303- 5 6.04570- 4 1.30000+ 1 1.40000+ 1 2.47075- 3 6.04650- 4 1.30000+ 1 1.60000+ 1 6.05312- 4 6.07550- 4 1.40000+ 1 1.40000+ 1 6.77884- 4 6.04730- 4 1.40000+ 1 1.60000+ 1 8.97214- 4 6.07630- 4 1 23000 0 7 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 5.32070-11 7.34000- 6 8.00000+ 0 2.53310- 3 4.55460- 4 1.10000+ 1 3.47480- 6 4.82090- 4 1.30000+ 1 3.00970- 4 5.22270- 4 1.60000+ 1 4.68090- 5 5.25250- 4 1 23000 0 9 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 8.39973- 3 3.79040- 4 8.00000+ 0 1.00000+ 1 1.52279- 1 4.04810- 4 8.00000+ 0 1.10000+ 1 1.17958- 2 4.05670- 4 8.00000+ 0 1.30000+ 1 3.04273- 3 4.45850- 4 8.00000+ 0 1.40000+ 1 4.19494- 3 4.45930- 4 8.00000+ 0 1.60000+ 1 1.44753- 3 4.48830- 4 1.00000+ 1 1.00000+ 1 1.26692- 1 4.30580- 4 1.00000+ 1 1.10000+ 1 4.43666- 1 4.31440- 4 1.00000+ 1 1.30000+ 1 4.29092- 2 4.71620- 4 1.00000+ 1 1.40000+ 1 8.49087- 2 4.71700- 4 1.00000+ 1 1.60000+ 1 1.52740- 2 4.74600- 4 1.10000+ 1 1.10000+ 1 1.23480- 2 4.32300- 4 1.10000+ 1 1.30000+ 1 4.81142- 2 4.72480- 4 1.10000+ 1 1.40000+ 1 7.64178- 3 4.72560- 4 1.10000+ 1 1.60000+ 1 1.03398- 3 4.75460- 4 1.30000+ 1 1.30000+ 1 5.55548- 3 5.12660- 4 1.30000+ 1 1.40000+ 1 2.55577- 2 5.12740- 4 1.30000+ 1 1.60000+ 1 2.25843- 4 5.15640- 4 1.40000+ 1 1.40000+ 1 1.62487- 3 5.12820- 4 1.40000+ 1 1.60000+ 1 4.03728- 4 5.15720- 4 1 23000 0 7 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 2.39979- 3 4.48120- 4 1.00000+ 1 1.65889- 6 4.73890- 4 1.10000+ 1 1.62499- 6 4.74750- 4 1.30000+ 1 2.28229- 5 5.14930- 4 1.40000+ 1 2.64839- 4 5.15010- 4 1.60000+ 1 4.43688- 5 5.17910- 4 1 23000 0 9 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 8.27379- 3 3.71700- 4 8.00000+ 0 1.00000+ 1 5.51893- 3 3.97470- 4 8.00000+ 0 1.10000+ 1 1.55178- 1 3.98330- 4 8.00000+ 0 1.30000+ 1 2.90832- 3 4.38510- 4 8.00000+ 0 1.40000+ 1 4.54963- 3 4.38590- 4 8.00000+ 0 1.60000+ 1 1.43014- 3 4.41490- 4 1.00000+ 1 1.00000+ 1 2.13094- 3 4.23240- 4 1.00000+ 1 1.10000+ 1 2.30124- 1 4.24100- 4 1.00000+ 1 1.30000+ 1 2.47482- 3 4.64280- 4 1.00000+ 1 1.40000+ 1 2.49214- 2 4.64360- 4 1.00000+ 1 1.60000+ 1 4.77765- 4 4.67260- 4 1.10000+ 1 1.10000+ 1 3.43666- 1 4.24960- 4 1.10000+ 1 1.30000+ 1 6.31643- 2 4.65140- 4 1.10000+ 1 1.40000+ 1 9.31504- 2 4.65220- 4 1.10000+ 1 1.60000+ 1 1.55968- 2 4.68120- 4 1.30000+ 1 1.30000+ 1 1.20935- 3 5.05320- 4 1.30000+ 1 1.40000+ 1 2.49162- 2 5.05400- 4 1.30000+ 1 1.60000+ 1 2.78341- 4 5.08300- 4 1.40000+ 1 1.40000+ 1 1.68544- 2 5.05480- 4 1.40000+ 1 1.60000+ 1 4.41522- 4 5.08380- 4 1 23000 0 7 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.72110- 6 2.57700- 5 1.10000+ 1 3.83729- 6 2.66300- 5 1 23000 0 9 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 6.02030- 2 1.61600- 5 1.00000+ 1 1.40000+ 1 1.58506- 1 1.62400- 5 1.00000+ 1 1.60000+ 1 9.16407- 2 1.91400- 5 1.10000+ 1 1.30000+ 1 2.10190- 1 1.70200- 5 1.10000+ 1 1.40000+ 1 2.46924- 1 1.71000- 5 1.10000+ 1 1.60000+ 1 1.77275- 1 2.00000- 5 1.30000+ 1 1.30000+ 1 7.54832- 5 5.72000- 5 1.30000+ 1 1.40000+ 1 9.42816- 3 5.72800- 5 1.30000+ 1 1.60000+ 1 1.77643- 2 6.01800- 5 1.40000+ 1 1.40000+ 1 1.51894- 3 5.73600- 5 1.40000+ 1 1.60000+ 1 2.64690- 2 6.02600- 5 1 23000 0 7 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.46080- 7 4.10400- 5 1.60000+ 1 2.17280- 8 4.40200- 5 1 23000 0 9 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 3.31371- 2 3.14300- 5 1.30000+ 1 1.40000+ 1 7.78117- 1 3.15100- 5 1.30000+ 1 1.60000+ 1 1.50135- 1 3.44100- 5 1.40000+ 1 1.40000+ 1 1.06073- 2 3.15900- 5 1.40000+ 1 1.60000+ 1 2.80037- 2 3.44900- 5 1 23000 0 7 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.14820- 8 4.01800- 5 1.40000+ 1 1.94750- 7 4.02600- 5 1.60000+ 1 8.73990- 9 4.31600- 5 1 23000 0 9 5.09415+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 5.08330- 3 3.05700- 5 1.30000+ 1 1.40000+ 1 5.68924- 1 3.06500- 5 1.30000+ 1 1.60000+ 1 3.46728- 2 3.35500- 5 1.40000+ 1 1.40000+ 1 2.20661- 1 3.07300- 5 1.40000+ 1 1.60000+ 1 1.70659- 1 3.36300- 5 1 24000 0 0 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 2.00000+ 0 1.40000+ 1 3.00000+ 0 1.60000+ 1 1.00000+ 0 1 24000 0 0 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.95760- 3 3.00000+ 0 6.87340- 4 5.00000+ 0 5.89740- 4 6.00000+ 0 5.80810- 4 8.00000+ 0 7.91900- 5 1.00000+ 1 5.12500- 5 1.10000+ 1 5.02000- 5 1.30000+ 1 6.46000- 6 1.40000+ 1 6.37000- 6 1.60000+ 1 5.96000- 6 1 24000 0 0 5.19960+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.74790- 3 3.00000+ 0 1.41110- 3 5.00000+ 0 1.39490- 3 6.00000+ 0 1.36000- 3 8.00000+ 0 2.98420- 4 1.00000+ 1 2.61760- 4 1.10000+ 1 2.55780- 4 1.30000+ 1 1.48590- 4 1.40000+ 1 1.47330- 4 1.60000+ 1 2.17100- 5 1 24000 0 0 5.19960+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.35110-10 3.00000+ 0 1.53610- 9 5.00000+ 0 1.34620- 9 6.00000+ 0 1.36120- 9 8.00000+ 0 4.70730- 9 1.00000+ 1 4.96990- 9 1.10000+ 1 5.01230- 9 1.30000+ 1 7.05900- 9 1.40000+ 1 7.10150- 9 1.60000+ 1 1.88520- 8 1 24000 0 0 5.19960+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.76010- 7 3.00000+ 0 1.63180- 9 5.00000+ 0 9.24200-10 6.00000+ 0 9.16560-10 8.00000+ 0 1.35740-11 1.00000+ 1 1.99020-11 1.10000+ 1 1.90080-11 1 24000 0 0 5.19960+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.09300- 7 3.00000+ 0 6.82540- 6 5.00000+ 0 3.16760- 7 6.00000+ 0 3.21690- 7 8.00000+ 0 3.26010- 6 1.00000+ 1 9.25850- 7 1.10000+ 1 8.90570- 7 1 24000 0 0 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.21367- 5 3.00000+ 0 3.45340- 5 5.00000+ 0 2.39725- 5 6.00000+ 0 2.34394- 5 8.00000+ 0 1.87002- 5 1.00000+ 1 1.28142- 5 1.10000+ 1 1.27733- 5 1.30000+ 1 6.46000- 6 1.40000+ 1 6.37000- 6 1.60000+ 1 5.96000- 6 1 24000 0 7 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.78529- 1 3.00000+ 0 4.23361- 3 5.00000+ 0 3.65246- 3 6.00000+ 0 3.46416- 3 8.00000+ 0 8.66770- 6 1.00000+ 1 8.45349- 7 1.10000+ 1 7.14376- 7 1 24000 0 7 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.48430- 3 3.00000+ 0 2.23451- 6 5.00000+ 0 1.90605- 6 6.00000+ 0 1.77792- 6 8.00000+ 0 2.59433-10 1.00000+ 1 3.78933-11 1.10000+ 1 3.13130-11 1 24000 0 9 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.59263+ 0 3.00000+ 0 4.40466+ 0 5.00000+ 0 2.74684+ 0 6.00000+ 0 2.66851+ 0 8.00000+ 0 1.93171+ 0 1.00000+ 1 9.99999- 1 1.10000+ 1 9.99999- 1 1 24000 0 9 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.43116- 3 3.00000+ 0 6.50571- 4 5.00000+ 0 5.63861- 4 6.00000+ 0 5.55593- 4 8.00000+ 0 6.04896- 5 1.00000+ 1 3.84358- 5 1.10000+ 1 3.74267- 5 1 24000 0 7 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.25759- 2 5.36786- 3 6.00000+ 0 1.62090- 1 5.37679- 3 1.00000+ 1 9.49389- 3 5.90635- 3 1.10000+ 1 1.87010- 2 5.90740- 3 1.30000+ 1 2.52540- 6 5.95114- 3 1.40000+ 1 3.69550- 6 5.95123- 3 1 24000 0 9 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.89637- 2 4.58292- 3 3.00000+ 0 5.00000+ 0 5.42769- 2 4.68052- 3 3.00000+ 0 6.00000+ 0 1.00496- 1 4.68945- 3 3.00000+ 0 8.00000+ 0 1.27805- 2 5.19107- 3 3.00000+ 0 1.00000+ 1 6.65910- 3 5.21901- 3 3.00000+ 0 1.10000+ 1 1.22647- 2 5.22006- 3 3.00000+ 0 1.30000+ 1 1.31005- 4 5.26380- 3 3.00000+ 0 1.40000+ 1 1.83964- 4 5.26389- 3 3.00000+ 0 1.60000+ 1 5.24035- 4 5.26430- 3 5.00000+ 0 5.00000+ 0 9.81425- 3 4.77812- 3 5.00000+ 0 6.00000+ 0 2.37473- 1 4.78705- 3 5.00000+ 0 8.00000+ 0 6.07386- 3 5.28867- 3 5.00000+ 0 1.00000+ 1 2.27732- 3 5.31661- 3 5.00000+ 0 1.10000+ 1 2.52704- 2 5.31766- 3 5.00000+ 0 1.30000+ 1 1.83966- 4 5.36140- 3 5.00000+ 0 1.40000+ 1 6.91293- 4 5.36149- 3 5.00000+ 0 1.60000+ 1 2.45286- 4 5.36190- 3 6.00000+ 0 6.00000+ 0 1.33078- 1 4.79598- 3 6.00000+ 0 8.00000+ 0 1.12890- 2 5.29760- 3 6.00000+ 0 1.00000+ 1 2.52740- 2 5.32554- 3 6.00000+ 0 1.10000+ 1 2.87383- 2 5.32659- 3 6.00000+ 0 1.30000+ 1 8.58576- 4 5.37033- 3 6.00000+ 0 1.40000+ 1 8.47392- 4 5.37042- 3 6.00000+ 0 1.60000+ 1 4.54356- 4 5.37083- 3 8.00000+ 0 8.00000+ 0 8.75710- 4 5.79922- 3 8.00000+ 0 1.00000+ 1 7.92885- 4 5.82716- 3 8.00000+ 0 1.10000+ 1 1.46749- 3 5.82821- 3 8.00000+ 0 1.30000+ 1 1.47928- 5 5.87195- 3 8.00000+ 0 1.40000+ 1 2.07097- 5 5.87204- 3 8.00000+ 0 1.60000+ 1 7.10061- 5 5.87245- 3 1.00000+ 1 1.00000+ 1 1.35594- 4 5.85510- 3 1.00000+ 1 1.10000+ 1 2.86524- 3 5.85615- 3 1.00000+ 1 1.30000+ 1 1.76859- 5 5.89989- 3 1.00000+ 1 1.40000+ 1 6.48504- 5 5.89998- 3 1.00000+ 1 1.60000+ 1 3.24257- 5 5.90039- 3 1.10000+ 1 1.10000+ 1 1.69746- 3 5.85720- 3 1.10000+ 1 1.30000+ 1 8.22897- 5 5.90094- 3 1.10000+ 1 1.40000+ 1 8.22897- 5 5.90103- 3 1.10000+ 1 1.60000+ 1 6.09548- 5 5.90144- 3 1.30000+ 1 1.40000+ 1 2.78750- 6 5.94477- 3 1 24000 0 7 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 4.18737- 5 9.76000- 5 6.00000+ 0 1.48369- 4 1.06530- 4 1.00000+ 1 4.33407- 4 6.36090- 4 1.10000+ 1 6.32756- 4 6.37140- 4 1.30000+ 1 9.01435- 7 6.80880- 4 1.40000+ 1 1.28349- 6 6.80970- 4 1 24000 0 9 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 8.00000+ 0 7.11327- 2 1.84100- 5 5.00000+ 0 1.00000+ 1 5.17715- 2 4.63500- 5 5.00000+ 0 1.10000+ 1 7.04740- 2 4.74000- 5 5.00000+ 0 1.30000+ 1 3.48094- 2 9.11400- 5 5.00000+ 0 1.40000+ 1 5.71581- 2 9.12300- 5 5.00000+ 0 1.60000+ 1 2.94252- 3 9.16400- 5 6.00000+ 0 8.00000+ 0 1.43218- 1 2.73400- 5 6.00000+ 0 1.00000+ 1 6.41046- 2 5.52800- 5 6.00000+ 0 1.10000+ 1 1.46970- 1 5.63300- 5 6.00000+ 0 1.30000+ 1 8.02910- 2 1.00070- 4 6.00000+ 0 1.40000+ 1 1.13541- 1 1.00160- 4 6.00000+ 0 1.60000+ 1 5.52176- 3 1.00570- 4 8.00000+ 0 8.00000+ 0 1.58591- 2 5.28960- 4 8.00000+ 0 1.00000+ 1 2.81218- 2 5.56900- 4 8.00000+ 0 1.10000+ 1 5.52047- 2 5.57950- 4 8.00000+ 0 1.30000+ 1 1.26572- 2 6.01690- 4 8.00000+ 0 1.40000+ 1 1.87070- 2 6.01780- 4 8.00000+ 0 1.60000+ 1 1.15939- 3 6.02190- 4 1.00000+ 1 1.00000+ 1 5.42863- 4 5.84840- 4 1.00000+ 1 1.10000+ 1 6.59238- 4 5.85890- 4 1.00000+ 1 1.30000+ 1 2.01268- 4 6.29630- 4 1.00000+ 1 1.40000+ 1 3.63756- 3 6.29720- 4 1.00000+ 1 1.60000+ 1 9.91538- 4 6.30130- 4 1.10000+ 1 1.10000+ 1 1.53759- 3 5.86940- 4 1.10000+ 1 1.30000+ 1 4.03198- 3 6.30680- 4 1.10000+ 1 1.40000+ 1 2.94930- 3 6.30770- 4 1.10000+ 1 1.60000+ 1 1.98307- 3 6.31180- 4 1.30000+ 1 1.30000+ 1 1.01624- 4 6.74420- 4 1.30000+ 1 1.40000+ 1 5.59607- 3 6.74510- 4 1.30000+ 1 1.60000+ 1 3.02273- 4 6.74920- 4 1.40000+ 1 1.40000+ 1 1.98500- 3 6.74600- 4 1.40000+ 1 1.60000+ 1 5.77984- 4 6.75010- 4 1 24000 0 7 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 8.77607-11 8.93000- 6 8.00000+ 0 3.06272- 3 5.10550- 4 1.10000+ 1 5.01634- 6 5.39540- 4 1.30000+ 1 5.24554- 4 5.83280- 4 1.60000+ 1 5.75784- 5 5.83780- 4 1 24000 0 9 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 7.19812- 3 4.31360- 4 8.00000+ 0 1.00000+ 1 1.29803- 1 4.59300- 4 8.00000+ 0 1.10000+ 1 1.01967- 2 4.60350- 4 8.00000+ 0 1.30000+ 1 3.76468- 3 5.04090- 4 8.00000+ 0 1.40000+ 1 5.66444- 3 5.04180- 4 8.00000+ 0 1.60000+ 1 5.14137- 4 5.04590- 4 1.00000+ 1 1.00000+ 1 1.12344- 1 4.87240- 4 1.00000+ 1 1.10000+ 1 3.91850- 1 4.88290- 4 1.00000+ 1 1.30000+ 1 5.95615- 2 5.32030- 4 1.00000+ 1 1.40000+ 1 1.16969- 1 5.32120- 4 1.00000+ 1 1.60000+ 1 5.51139- 3 5.32530- 4 1.10000+ 1 1.10000+ 1 1.04751- 2 4.89340- 4 1.10000+ 1 1.30000+ 1 6.51357- 2 5.33080- 4 1.10000+ 1 1.40000+ 1 1.02318- 2 5.33170- 4 1.10000+ 1 1.60000+ 1 3.66011- 4 5.33580- 4 1.30000+ 1 1.30000+ 1 1.11616- 2 5.76820- 4 1.30000+ 1 1.40000+ 1 5.12258- 2 5.76910- 4 1.30000+ 1 1.60000+ 1 9.00498- 5 5.77320- 4 1.40000+ 1 1.40000+ 1 4.06976- 3 5.77000- 4 1.40000+ 1 1.60000+ 1 2.17875- 4 5.77410- 4 1 24000 0 7 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 2.89130- 3 5.01620- 4 1.00000+ 1 2.43310- 6 5.29560- 4 1.10000+ 1 2.37970- 6 5.30610- 4 1.30000+ 1 4.10181- 5 5.74350- 4 1.40000+ 1 4.70291- 4 5.74440- 4 1.60000+ 1 5.43441- 5 5.74850- 4 1 24000 0 9 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 6.92712- 3 4.22430- 4 8.00000+ 0 1.00000+ 1 4.63469- 3 4.50370- 4 8.00000+ 0 1.10000+ 1 1.28814- 1 4.51420- 4 8.00000+ 0 1.30000+ 1 3.79888- 3 4.95160- 4 8.00000+ 0 1.40000+ 1 5.66920- 3 4.95250- 4 8.00000+ 0 1.60000+ 1 4.96566- 4 4.95660- 4 1.00000+ 1 1.00000+ 1 1.84285- 3 4.78310- 4 1.00000+ 1 1.10000+ 1 1.99140- 1 4.79360- 4 1.00000+ 1 1.30000+ 1 3.45295- 3 5.23100- 4 1.00000+ 1 1.40000+ 1 3.43324- 2 5.23190- 4 1.00000+ 1 1.60000+ 1 1.72218- 4 5.23600- 4 1.10000+ 1 1.10000+ 1 2.88700- 1 4.80410- 4 1.10000+ 1 1.30000+ 1 8.33075- 2 5.24150- 4 1.10000+ 1 1.40000+ 1 1.23152- 1 5.24240- 4 1.10000+ 1 1.60000+ 1 5.36074- 3 5.24650- 4 1.30000+ 1 1.30000+ 1 2.99602- 3 5.67890- 4 1.30000+ 1 1.40000+ 1 6.13951- 2 5.67980- 4 1.30000+ 1 1.60000+ 1 1.48972- 4 5.68390- 4 1.40000+ 1 1.40000+ 1 4.19708- 2 5.68070- 4 1.40000+ 1 1.60000+ 1 2.26225- 4 5.68480- 4 1 24000 0 7 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.44510- 6 2.79400- 5 1.10000+ 1 5.51726- 6 2.89900- 5 1 24000 0 9 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 7.66473- 2 2.14800- 5 1.00000+ 1 1.40000+ 1 1.95939- 1 2.15700- 5 1.00000+ 1 1.60000+ 1 3.08446- 2 2.19800- 5 1.10000+ 1 1.30000+ 1 2.63204- 1 2.25300- 5 1.10000+ 1 1.40000+ 1 3.06203- 1 2.26200- 5 1.10000+ 1 1.60000+ 1 5.88740- 2 2.30300- 5 1.30000+ 1 1.30000+ 1 4.91707- 4 6.62700- 5 1.30000+ 1 1.40000+ 1 2.26380- 2 6.63600- 5 1.30000+ 1 1.60000+ 1 1.14514- 2 6.67700- 5 1.40000+ 1 1.40000+ 1 8.08526- 3 6.64500- 5 1.40000+ 1 1.60000+ 1 2.56138- 2 6.68600- 5 1 24000 0 7 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 7.85171- 7 4.47900- 5 1.60000+ 1 6.01781- 8 4.52900- 5 1 24000 0 9 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.03735- 1 3.83300- 5 1.30000+ 1 1.40000+ 1 8.19106- 1 3.84200- 5 1.30000+ 1 1.60000+ 1 4.22197- 2 3.88300- 5 1.40000+ 1 1.40000+ 1 2.34317- 2 3.85100- 5 1.40000+ 1 1.60000+ 1 1.15063- 2 3.89200- 5 1 24000 0 7 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 6.89930- 8 4.37400- 5 1.40000+ 1 6.25550- 7 4.38300- 5 1.60000+ 1 1.98340- 8 4.42400- 5 1 24000 0 9 5.19960+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.58199- 2 3.72800- 5 1.30000+ 1 1.40000+ 1 5.88261- 1 3.73700- 5 1.30000+ 1 1.60000+ 1 9.85839- 3 3.77800- 5 1.40000+ 1 1.40000+ 1 3.38876- 1 3.74600- 5 1.40000+ 1 1.60000+ 1 4.71834- 2 3.78700- 5 1 25000 0 0 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 2.00000+ 0 1.40000+ 1 3.00000+ 0 1.60000+ 1 2.00000+ 0 1 25000 0 0 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.51090- 3 3.00000+ 0 7.66470- 4 5.00000+ 0 6.62970- 4 6.00000+ 0 6.52220- 4 8.00000+ 0 9.25800- 5 1.00000+ 1 6.20900- 5 1.10000+ 1 6.07800- 5 1.30000+ 1 1.18500- 5 1.40000+ 1 1.17200- 5 1.60000+ 1 7.25000- 6 1 25000 0 0 5.49380+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.43340- 3 3.00000+ 0 1.55450- 3 5.00000+ 0 1.53890- 3 6.00000+ 0 1.49720- 3 8.00000+ 0 3.36950- 4 1.00000+ 1 2.99200- 4 1.10000+ 1 2.91910- 4 1.30000+ 1 1.90380- 4 1.40000+ 1 1.88920- 4 1.60000+ 1 3.10200- 5 1 25000 0 0 5.49380+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.21170-10 3.00000+ 0 1.46510- 9 5.00000+ 0 1.28050- 9 6.00000+ 0 1.29590- 9 8.00000+ 0 4.44080- 9 1.00000+ 1 4.64550- 9 1.10000+ 1 4.69180- 9 1.30000+ 1 5.86580- 9 1.40000+ 1 5.88890- 9 1.60000+ 1 1.63310- 8 1 25000 0 0 5.49380+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.32480- 7 3.00000+ 0 2.09610- 9 5.00000+ 0 1.34290- 9 6.00000+ 0 1.33190- 9 8.00000+ 0 1.57990-11 1.00000+ 1 2.62810-11 1.10000+ 1 2.50540-11 1 25000 0 0 5.49380+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.32580- 7 3.00000+ 0 6.72290- 6 5.00000+ 0 3.54980- 7 6.00000+ 0 3.61290- 7 8.00000+ 0 3.38840- 6 1.00000+ 1 1.07910- 6 1.10000+ 1 1.03640- 6 1 25000 0 0 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.13810- 5 3.00000+ 0 5.89069- 5 5.00000+ 0 4.18756- 5 6.00000+ 0 4.05607- 5 8.00000+ 0 3.27110- 5 1.00000+ 1 2.31062- 5 1.10000+ 1 2.30171- 5 1.30000+ 1 1.18500- 5 1.40000+ 1 1.17200- 5 1.60000+ 1 7.25000- 6 1 25000 0 7 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.10992- 1 3.00000+ 0 5.01156- 3 5.00000+ 0 4.53515- 3 6.00000+ 0 4.30138- 3 8.00000+ 0 1.26165- 5 1.00000+ 1 2.06096- 6 1.10000+ 1 1.75191- 6 1 25000 0 7 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.80432- 3 3.00000+ 0 2.97750- 6 5.00000+ 0 2.66141- 6 6.00000+ 0 2.48114- 6 8.00000+ 0 4.27273-10 1.00000+ 1 1.04310-10 1.10000+ 1 8.61571-11 1 25000 0 9 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.21227+ 0 3.00000+ 0 4.14170+ 0 5.00000+ 0 2.63713+ 0 6.00000+ 0 2.52559+ 0 8.00000+ 0 1.91772+ 0 1.00000+ 1 9.99998- 1 1.10000+ 1 9.99998- 1 1 25000 0 9 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.63520- 3 3.00000+ 0 7.04586- 4 5.00000+ 0 6.18433- 4 6.00000+ 0 6.09178- 4 8.00000+ 0 5.98686- 5 1.00000+ 1 3.89837- 5 1.10000+ 1 3.77628- 5 1 25000 0 7 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 9.17726- 2 5.84793- 3 6.00000+ 0 1.79949- 1 5.85868- 3 1.00000+ 1 1.09360- 2 6.44881- 3 1.10000+ 1 2.15229- 2 6.45012- 3 1.30000+ 1 3.85518- 6 6.49905- 3 1.40000+ 1 5.64148- 6 6.49918- 3 1 25000 0 9 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.67138- 2 4.97796- 3 3.00000+ 0 5.00000+ 0 5.17916- 2 5.08146- 3 3.00000+ 0 6.00000+ 0 9.52207- 2 5.09221- 3 3.00000+ 0 8.00000+ 0 1.24821- 2 5.65185- 3 3.00000+ 0 1.00000+ 1 6.59506- 3 5.68234- 3 3.00000+ 0 1.10000+ 1 1.20614- 2 5.68365- 3 3.00000+ 0 1.30000+ 1 1.52466- 4 5.73258- 3 3.00000+ 0 1.40000+ 1 2.11912- 4 5.73271- 3 3.00000+ 0 1.60000+ 1 1.14999- 3 5.73718- 3 5.00000+ 0 5.00000+ 0 9.33686- 3 5.18496- 3 5.00000+ 0 6.00000+ 0 2.24948- 1 5.19571- 3 5.00000+ 0 8.00000+ 0 5.91526- 3 5.75535- 3 5.00000+ 0 1.00000+ 1 2.24573- 3 5.78584- 3 5.00000+ 0 1.10000+ 1 2.47828- 2 5.78715- 3 5.00000+ 0 1.30000+ 1 2.11909- 4 5.83608- 3 5.00000+ 0 1.40000+ 1 7.93352- 4 5.83621- 3 5.00000+ 0 1.60000+ 1 5.34934- 4 5.84068- 3 6.00000+ 0 6.00000+ 0 1.25736- 1 5.20646- 3 6.00000+ 0 8.00000+ 0 1.09189- 2 5.76610- 3 6.00000+ 0 1.00000+ 1 2.47718- 2 5.79659- 3 6.00000+ 0 1.10000+ 1 2.81289- 2 5.79790- 3 6.00000+ 0 1.30000+ 1 9.84510- 4 5.84683- 3 6.00000+ 0 1.40000+ 1 9.71635- 4 5.84696- 3 6.00000+ 0 1.60000+ 1 9.87080- 4 5.85143- 3 8.00000+ 0 8.00000+ 0 8.24386- 4 6.32574- 3 8.00000+ 0 1.00000+ 1 7.57183- 4 6.35623- 3 8.00000+ 0 1.10000+ 1 1.38769- 3 6.35754- 3 8.00000+ 0 1.30000+ 1 1.55054- 5 6.40647- 3 8.00000+ 0 1.40000+ 1 2.32585- 5 6.40660- 3 8.00000+ 0 1.60000+ 1 1.52465- 4 6.41107- 3 1.00000+ 1 1.00000+ 1 1.30400- 4 6.38672- 3 1.00000+ 1 1.10000+ 1 2.77500- 3 6.38803- 3 1.00000+ 1 1.30000+ 1 1.82564- 5 6.43696- 3 1.00000+ 1 1.40000+ 1 7.30232- 5 6.43709- 3 1.00000+ 1 1.60000+ 1 6.78099- 5 6.44156- 3 1.10000+ 1 1.10000+ 1 1.61665- 3 6.38934- 3 1.10000+ 1 1.30000+ 1 9.29085- 5 6.43827- 3 1.10000+ 1 1.40000+ 1 9.02568- 5 6.43840- 3 1.10000+ 1 1.60000+ 1 1.30078- 4 6.44287- 3 1.30000+ 1 1.40000+ 1 2.58429- 6 6.48733- 3 1.30000+ 1 1.60000+ 1 2.58429- 6 6.49180- 3 1.40000+ 1 1.60000+ 1 2.58419- 6 6.49193- 3 1 25000 0 7 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 3.44712- 5 1.03500- 4 6.00000+ 0 1.28601- 4 1.14250- 4 1.00000+ 1 4.87964- 4 7.04380- 4 1.10000+ 1 7.08545- 4 7.05690- 4 1.30000+ 1 1.26141- 6 7.54620- 4 1.40000+ 1 1.76201- 6 7.54750- 4 1 25000 0 9 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.00000+ 1 5.50062- 2 4.14100- 5 5.00000+ 0 1.10000+ 1 7.48938- 2 4.27200- 5 5.00000+ 0 1.30000+ 1 3.86253- 2 9.16500- 5 5.00000+ 0 1.40000+ 1 6.34333- 2 9.17800- 5 5.00000+ 0 1.60000+ 1 6.97311- 3 9.62500- 5 6.00000+ 0 8.00000+ 0 1.41142- 1 2.16700- 5 6.00000+ 0 1.00000+ 1 6.79573- 2 5.21600- 5 6.00000+ 0 1.10000+ 1 1.55173- 1 5.34700- 5 6.00000+ 0 1.30000+ 1 9.02735- 2 1.02400- 4 6.00000+ 0 1.40000+ 1 1.27740- 1 1.02530- 4 6.00000+ 0 1.60000+ 1 1.29083- 2 1.07000- 4 8.00000+ 0 8.00000+ 0 1.51766- 2 5.81310- 4 8.00000+ 0 1.00000+ 1 2.72907- 2 6.11800- 4 8.00000+ 0 1.10000+ 1 5.35293- 2 6.13110- 4 8.00000+ 0 1.30000+ 1 1.37094- 2 6.62040- 4 8.00000+ 0 1.40000+ 1 2.02584- 2 6.62170- 4 8.00000+ 0 1.60000+ 1 2.49655- 3 6.66640- 4 1.00000+ 1 1.00000+ 1 4.48180- 4 6.42290- 4 1.00000+ 1 1.10000+ 1 6.36606- 4 6.43600- 4 1.00000+ 1 1.30000+ 1 1.95994- 4 6.92530- 4 1.00000+ 1 1.40000+ 1 3.62961- 3 6.92660- 4 1.00000+ 1 1.60000+ 1 1.91586- 3 6.97130- 4 1.10000+ 1 1.10000+ 1 1.25022- 3 6.44910- 4 1.10000+ 1 1.30000+ 1 3.74630- 3 6.93840- 4 1.10000+ 1 1.40000+ 1 2.72895- 3 6.93970- 4 1.10000+ 1 1.60000+ 1 3.60061- 3 6.98440- 4 1.30000+ 1 1.30000+ 1 1.68704- 4 7.42770- 4 1.30000+ 1 1.40000+ 1 8.95871- 3 7.42900- 4 1.30000+ 1 1.60000+ 1 9.67657- 4 7.47370- 4 1.40000+ 1 1.40000+ 1 2.40642- 3 7.43030- 4 1.40000+ 1 1.60000+ 1 1.39661- 3 7.47500- 4 1 25000 0 7 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.37650-10 1.07500- 5 8.00000+ 0 3.57611- 3 5.70390- 4 1.10000+ 1 7.00762- 6 6.02190- 4 1.30000+ 1 8.77713- 4 6.51120- 4 1.60000+ 1 6.97162- 5 6.55720- 4 1 25000 0 9 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 6.61693- 3 4.77810- 4 8.00000+ 0 1.00000+ 1 1.20709- 1 5.08300- 4 8.00000+ 0 1.10000+ 1 9.64520- 3 5.09610- 4 8.00000+ 0 1.30000+ 1 3.57326- 3 5.58540- 4 8.00000+ 0 1.40000+ 1 5.88520- 3 5.58670- 4 8.00000+ 0 1.60000+ 1 1.05091- 3 5.63140- 4 1.00000+ 1 1.00000+ 1 1.02396- 1 5.38790- 4 1.00000+ 1 1.10000+ 1 3.56396- 1 5.40100- 4 1.00000+ 1 1.30000+ 1 6.06602- 2 5.89030- 4 1.00000+ 1 1.40000+ 1 1.18320- 1 5.89160- 4 1.00000+ 1 1.60000+ 1 1.11894- 2 5.93630- 4 1.10000+ 1 1.10000+ 1 9.88714- 3 5.41410- 4 1.10000+ 1 1.30000+ 1 6.98718- 2 5.90340- 4 1.10000+ 1 1.40000+ 1 1.07431- 2 5.90470- 4 1.10000+ 1 1.60000+ 1 7.86291- 4 5.94940- 4 1.30000+ 1 1.30000+ 1 1.83293- 2 6.39270- 4 1.30000+ 1 1.40000+ 1 8.38539- 2 6.39400- 4 1.30000+ 1 1.60000+ 1 2.77108- 4 6.43870- 4 1.40000+ 1 1.40000+ 1 4.76450- 3 6.39530- 4 1.40000+ 1 1.60000+ 1 5.13814- 4 6.44000- 4 1 25000 0 7 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 3.35628- 3 5.59640- 4 1.00000+ 1 3.41908- 6 5.90130- 4 1.10000+ 1 3.33848- 6 5.91440- 4 1.30000+ 1 7.06575- 5 6.40370- 4 1.40000+ 1 7.98014- 4 6.40500- 4 1.60000+ 1 6.55745- 5 6.44970- 4 1 25000 0 9 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 6.20886- 3 4.67060- 4 8.00000+ 0 1.00000+ 1 4.22301- 3 4.97550- 4 8.00000+ 0 1.10000+ 1 1.16349- 1 4.98860- 4 8.00000+ 0 1.30000+ 1 3.79266- 3 5.47790- 4 8.00000+ 0 1.40000+ 1 5.40607- 3 5.47920- 4 8.00000+ 0 1.60000+ 1 9.89484- 4 5.52390- 4 1.00000+ 1 1.00000+ 1 1.62236- 3 5.28040- 4 1.00000+ 1 1.10000+ 1 1.74618- 1 5.29350- 4 1.00000+ 1 1.30000+ 1 3.48065- 3 5.78280- 4 1.00000+ 1 1.40000+ 1 3.40844- 2 5.78410- 4 1.00000+ 1 1.60000+ 1 3.43045- 4 5.82880- 4 1.10000+ 1 1.10000+ 1 2.59646- 1 5.30660- 4 1.10000+ 1 1.30000+ 1 8.35044- 2 5.79590- 4 1.10000+ 1 1.40000+ 1 1.24363- 1 5.79720- 4 1.10000+ 1 1.60000+ 1 1.07536- 2 5.84190- 4 1.30000+ 1 1.30000+ 1 4.87347- 3 6.28520- 4 1.30000+ 1 1.40000+ 1 9.92986- 2 6.28650- 4 1.30000+ 1 1.60000+ 1 4.77198- 4 6.33120- 4 1.40000+ 1 1.40000+ 1 6.10517- 2 6.28780- 4 1.40000+ 1 1.60000+ 1 6.17804- 4 6.33250- 4 1 25000 0 7 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 3.31252- 6 3.04900- 5 1.10000+ 1 7.60455- 6 3.18000- 5 1 25000 0 9 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 6.62752- 2 1.86400- 5 1.00000+ 1 1.40000+ 1 1.60217- 1 1.87700- 5 1.00000+ 1 1.60000+ 1 6.98991- 2 2.32400- 5 1.10000+ 1 1.30000+ 1 2.21821- 1 1.99500- 5 1.10000+ 1 1.40000+ 1 2.66813- 1 2.00800- 5 1.10000+ 1 1.60000+ 1 1.32700- 1 2.45500- 5 1.30000+ 1 1.30000+ 1 6.32082- 4 6.88800- 5 1.30000+ 1 1.40000+ 1 1.85482- 2 6.90100- 5 1.30000+ 1 1.60000+ 1 2.34369- 2 7.34800- 5 1.40000+ 1 1.40000+ 1 4.80240- 3 6.91400- 5 1.40000+ 1 1.60000+ 1 3.48438- 2 7.36100- 5 1 25000 0 7 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.89409- 6 5.02400- 5 1.60000+ 1 1.66869- 7 5.48400- 5 1 25000 0 9 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 9.94216- 2 3.83900- 5 1.30000+ 1 1.40000+ 1 7.79078- 1 3.85200- 5 1.30000+ 1 1.60000+ 1 8.97663- 2 4.29900- 5 1.40000+ 1 1.40000+ 1 1.57839- 2 3.86500- 5 1.40000+ 1 1.60000+ 1 1.59479- 2 4.31200- 5 1 25000 0 7 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.68410- 7 4.89300- 5 1.40000+ 1 1.53200- 6 4.90600- 5 1.60000+ 1 5.15039- 8 5.35300- 5 1 25000 0 9 5.49380+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.56920- 2 3.70800- 5 1.30000+ 1 1.40000+ 1 5.73839- 1 3.72100- 5 1.30000+ 1 1.60000+ 1 2.08180- 2 4.16800- 5 1.40000+ 1 1.40000+ 1 2.97650- 1 3.73400- 5 1.40000+ 1 1.60000+ 1 9.19995- 2 4.18100- 5 1 26000 0 0 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 2.40000+ 0 1.40000+ 1 3.60000+ 0 1.60000+ 1 2.00000+ 0 1 26000 0 0 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.08340- 3 3.00000+ 0 8.42960- 4 5.00000+ 0 7.33550- 4 6.00000+ 0 7.20690- 4 8.00000+ 0 1.01010- 4 1.00000+ 1 6.80400- 5 1.10000+ 1 6.64500- 5 1.30000+ 1 1.29100- 5 1.40000+ 1 1.27400- 5 1.60000+ 1 7.53000- 6 1 26000 0 0 5.58470+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.15070- 3 3.00000+ 0 1.70570- 3 5.00000+ 0 1.69090- 3 6.00000+ 0 1.64150- 3 8.00000+ 0 3.72570- 4 1.00000+ 1 3.32540- 4 1.10000+ 1 3.23690- 4 1.30000+ 1 2.15690- 4 1.40000+ 1 2.13850- 4 1.60000+ 1 3.31800- 5 1 26000 0 0 5.58470+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.08310-10 3.00000+ 0 1.39980- 9 5.00000+ 0 1.22060- 9 6.00000+ 0 1.23650- 9 8.00000+ 0 4.23230- 9 1.00000+ 1 4.41380- 9 1.10000+ 1 4.46010- 9 1.30000+ 1 5.50660- 9 1.40000+ 1 5.53370- 9 1.60000+ 1 1.57590- 8 1 26000 0 0 5.58470+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.96370- 7 3.00000+ 0 2.59540- 9 5.00000+ 0 1.99400- 9 6.00000+ 0 1.97300- 9 8.00000+ 0 1.82730-11 1.00000+ 1 3.67650-11 1.10000+ 1 3.48290-11 1 26000 0 0 5.58470+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.50160- 7 3.00000+ 0 7.37780- 6 5.00000+ 0 4.01500- 7 6.00000+ 0 4.10100- 7 8.00000+ 0 3.69580- 6 1.00000+ 1 1.51340- 6 1.10000+ 1 1.45590- 6 1 26000 0 0 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.35207- 5 3.00000+ 0 6.20762- 5 5.00000+ 0 4.36646- 5 6.00000+ 0 4.26693- 5 8.00000+ 0 3.54677- 5 1.00000+ 1 2.52078- 5 1.10000+ 1 2.50982- 5 1.30000+ 1 1.29100- 5 1.40000+ 1 1.27400- 5 1.60000+ 1 7.53000- 6 1 26000 0 7 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.44316- 1 3.00000+ 0 5.89259- 3 5.00000+ 0 5.53901- 3 6.00000+ 0 5.25239- 3 8.00000+ 0 1.78989- 5 1.00000+ 1 4.26719- 6 1.10000+ 1 3.64781- 6 1 26000 0 7 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.16705- 3 3.00000+ 0 3.90725- 6 5.00000+ 0 3.63089- 6 6.00000+ 0 3.38206- 6 8.00000+ 0 6.81047-10 1.00000+ 1 2.37267-10 1.10000+ 1 1.96468-10 1 26000 0 9 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.86442+ 0 3.00000+ 0 3.96766+ 0 5.00000+ 0 2.47406+ 0 6.00000+ 0 2.39951+ 0 8.00000+ 0 1.90472+ 0 1.00000+ 1 9.99996- 1 1.10000+ 1 9.99996- 1 1 26000 0 9 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.84283- 3 3.00000+ 0 7.76977- 4 5.00000+ 0 6.86255- 4 6.00000+ 0 6.74639- 4 8.00000+ 0 6.55416- 5 1.00000+ 1 4.28320- 5 1.10000+ 1 4.13516- 5 1 26000 0 7 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.01391- 1 6.34985- 3 6.00000+ 0 1.98621- 1 6.36271- 3 1.00000+ 1 1.22111- 2 7.01536- 3 1.10000+ 1 2.40042- 2 7.01695- 3 1.30000+ 1 6.00794- 6 7.07049- 3 1.40000+ 1 8.77226- 6 7.07066- 3 1 26000 0 9 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.47039- 2 5.39748- 3 3.00000+ 0 5.00000+ 0 4.96309- 2 5.50689- 3 3.00000+ 0 6.00000+ 0 9.05528- 2 5.51975- 3 3.00000+ 0 8.00000+ 0 1.20010- 2 6.13943- 3 3.00000+ 0 1.00000+ 1 6.37861- 3 6.17240- 3 3.00000+ 0 1.10000+ 1 1.15700- 2 6.17399- 3 3.00000+ 0 1.30000+ 1 1.85335- 4 6.22753- 3 3.00000+ 0 1.40000+ 1 2.57546- 4 6.22770- 3 3.00000+ 0 1.60000+ 1 1.06145- 3 6.23291- 3 5.00000+ 0 5.00000+ 0 8.91045- 3 5.61630- 3 5.00000+ 0 6.00000+ 0 2.13819- 1 5.62916- 3 5.00000+ 0 8.00000+ 0 5.68040- 3 6.24884- 3 5.00000+ 0 1.00000+ 1 2.15909- 3 6.28181- 3 5.00000+ 0 1.10000+ 1 2.36911- 2 6.28340- 3 5.00000+ 0 1.30000+ 1 2.57540- 4 6.33694- 3 5.00000+ 0 1.40000+ 1 9.60385- 4 6.33711- 3 5.00000+ 0 1.60000+ 1 4.93427- 4 6.34232- 3 6.00000+ 0 6.00000+ 0 1.19207- 1 5.64202- 3 6.00000+ 0 8.00000+ 0 1.04085- 2 6.26170- 3 6.00000+ 0 1.00000+ 1 2.36893- 2 6.29467- 3 6.00000+ 0 1.10000+ 1 2.68353- 2 6.29626- 3 6.00000+ 0 1.30000+ 1 1.19389- 3 6.34980- 3 6.00000+ 0 1.40000+ 1 1.17463- 3 6.34997- 3 6.00000+ 0 1.60000+ 1 9.02593- 4 6.35518- 3 8.00000+ 0 8.00000+ 0 8.02277- 4 6.88138- 3 8.00000+ 0 1.00000+ 1 7.39263- 4 6.91435- 3 8.00000+ 0 1.10000+ 1 1.34525- 3 6.91594- 3 8.00000+ 0 1.30000+ 1 1.93914- 5 6.96948- 3 8.00000+ 0 1.40000+ 1 2.66629- 5 6.96965- 3 8.00000+ 0 1.60000+ 1 1.40581- 4 6.97486- 3 1.00000+ 1 1.00000+ 1 1.28144- 4 6.94732- 3 1.00000+ 1 1.10000+ 1 2.71062- 3 6.94891- 3 1.00000+ 1 1.30000+ 1 2.21776- 5 7.00245- 3 1.00000+ 1 1.40000+ 1 8.87081- 5 7.00262- 3 1.00000+ 1 1.60000+ 1 6.40678- 5 7.00783- 3 1.10000+ 1 1.10000+ 1 1.58655- 3 6.95050- 3 1.10000+ 1 1.30000+ 1 1.16223- 4 7.00404- 3 1.10000+ 1 1.40000+ 1 1.11167- 4 7.00421- 3 1.10000+ 1 1.60000+ 1 1.21269- 4 7.00942- 3 1.30000+ 1 1.40000+ 1 3.85858- 6 7.05775- 3 1.30000+ 1 1.60000+ 1 3.85858- 6 7.06296- 3 1.40000+ 1 1.60000+ 1 3.51272- 6 7.06313- 3 1 26000 0 7 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.87212- 5 1.09410- 4 6.00000+ 0 1.12411- 4 1.22270- 4 1.00000+ 1 5.33553- 4 7.74920- 4 1.10000+ 1 7.92105- 4 7.76510- 4 1.30000+ 1 1.62101- 6 8.30050- 4 1.40000+ 1 2.20171- 6 8.30220- 4 1 26000 0 9 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.00000+ 1 5.21984- 2 4.13700- 5 5.00000+ 0 1.10000+ 1 7.21802- 2 4.29600- 5 5.00000+ 0 1.30000+ 1 4.09703- 2 9.65000- 5 5.00000+ 0 1.40000+ 1 6.68427- 2 9.66700- 5 5.00000+ 0 1.60000+ 1 6.19976- 3 1.01880- 4 6.00000+ 0 8.00000+ 0 1.33635- 1 2.12600- 5 6.00000+ 0 1.00000+ 1 6.47652- 2 5.42300- 5 6.00000+ 0 1.10000+ 1 1.45310- 1 5.58200- 5 6.00000+ 0 1.30000+ 1 9.68238- 2 1.09360- 4 6.00000+ 0 1.40000+ 1 1.37175- 1 1.09530- 4 6.00000+ 0 1.60000+ 1 1.13749- 2 1.14740- 4 8.00000+ 0 8.00000+ 0 1.42253- 2 6.40940- 4 8.00000+ 0 1.00000+ 1 2.56412- 2 6.73910- 4 8.00000+ 0 1.10000+ 1 5.02067- 2 6.75500- 4 8.00000+ 0 1.30000+ 1 1.57957- 2 7.29040- 4 8.00000+ 0 1.40000+ 1 2.33060- 2 7.29210- 4 8.00000+ 0 1.60000+ 1 2.24577- 3 7.34420- 4 1.00000+ 1 1.00000+ 1 4.09652- 4 7.06880- 4 1.00000+ 1 1.10000+ 1 6.68243- 4 7.08470- 4 1.00000+ 1 1.30000+ 1 2.32428- 4 7.62010- 4 1.00000+ 1 1.40000+ 1 4.40741- 3 7.62180- 4 1.00000+ 1 1.60000+ 1 1.77081- 3 7.67390- 4 1.10000+ 1 1.10000+ 1 1.17810- 3 7.10060- 4 1.10000+ 1 1.30000+ 1 4.46042- 3 7.63600- 4 1.10000+ 1 1.40000+ 1 3.23254- 3 7.63770- 4 1.10000+ 1 1.60000+ 1 3.28901- 3 7.68980- 4 1.30000+ 1 1.30000+ 1 2.58444- 4 8.17140- 4 1.30000+ 1 1.40000+ 1 1.35249- 2 8.17310- 4 1.30000+ 1 1.60000+ 1 1.10876- 3 8.22520- 4 1.40000+ 1 1.40000+ 1 3.53869- 3 8.17480- 4 1.40000+ 1 1.60000+ 1 1.55434- 3 8.22690- 4 1 26000 0 7 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.04719-10 1.28600- 5 8.00000+ 0 4.03768- 3 6.32540- 4 1.10000+ 1 9.18115- 6 6.67100- 4 1.30000+ 1 1.40199- 3 7.20640- 4 1.60000+ 1 8.27386- 5 7.26020- 4 1 26000 0 9 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 5.72017- 3 5.31530- 4 8.00000+ 0 1.00000+ 1 1.04744- 1 5.64500- 4 8.00000+ 0 1.10000+ 1 8.48542- 3 5.66090- 4 8.00000+ 0 1.30000+ 1 3.52272- 3 6.19630- 4 8.00000+ 0 1.40000+ 1 6.29489- 3 6.19800- 4 8.00000+ 0 1.60000+ 1 8.72234- 4 6.25010- 4 1.00000+ 1 1.00000+ 1 8.91640- 2 5.97470- 4 1.00000+ 1 1.10000+ 1 3.09321- 1 5.99060- 4 1.00000+ 1 1.30000+ 1 6.45901- 2 6.52600- 4 1.00000+ 1 1.40000+ 1 1.25120- 1 6.52770- 4 1.00000+ 1 1.60000+ 1 9.30123- 3 6.57980- 4 1.10000+ 1 1.10000+ 1 8.61400- 3 6.00650- 4 1.10000+ 1 1.30000+ 1 7.55051- 2 6.54190- 4 1.10000+ 1 1.40000+ 1 1.14600- 2 6.54360- 4 1.10000+ 1 1.60000+ 1 6.69397- 4 6.59570- 4 1.30000+ 1 1.30000+ 1 2.94353- 2 7.07730- 4 1.30000+ 1 1.40000+ 1 1.34354- 1 7.07900- 4 1.30000+ 1 1.60000+ 1 3.10265- 4 7.13110- 4 1.40000+ 1 1.40000+ 1 6.45717- 3 7.08070- 4 1.40000+ 1 1.60000+ 1 5.27395- 4 7.13280- 4 1 26000 0 7 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 3.75953- 3 6.19680- 4 1.00000+ 1 4.56623- 6 6.52650- 4 1.10000+ 1 4.45063- 6 6.54240- 4 1.30000+ 1 1.14991- 4 7.07780- 4 1.40000+ 1 1.28521- 3 7.07950- 4 1.60000+ 1 7.69576- 5 7.13160- 4 1 26000 0 9 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 5.47610- 3 5.18670- 4 8.00000+ 0 1.00000+ 1 3.75614- 3 5.51640- 4 8.00000+ 0 1.10000+ 1 1.02560- 1 5.53230- 4 8.00000+ 0 1.30000+ 1 4.09120- 3 6.06770- 4 8.00000+ 0 1.40000+ 1 5.60270- 3 6.06940- 4 8.00000+ 0 1.60000+ 1 8.34691- 4 6.12150- 4 1.00000+ 1 1.00000+ 1 1.43545- 3 5.84610- 4 1.00000+ 1 1.10000+ 1 1.55075- 1 5.86200- 4 1.00000+ 1 1.30000+ 1 3.86376- 3 6.39740- 4 1.00000+ 1 1.40000+ 1 3.74865- 2 6.39910- 4 1.00000+ 1 1.60000+ 1 2.90883- 4 6.45120- 4 1.10000+ 1 1.10000+ 1 2.29412- 1 5.87790- 4 1.10000+ 1 1.30000+ 1 9.02988- 2 6.41330- 4 1.10000+ 1 1.40000+ 1 1.34973- 1 6.41500- 4 1.10000+ 1 1.60000+ 1 9.09931- 3 6.46710- 4 1.30000+ 1 1.30000+ 1 5.93307- 3 6.94870- 4 1.30000+ 1 1.40000+ 1 1.20726- 1 6.95040- 4 1.30000+ 1 1.60000+ 1 4.31648- 4 7.00250- 4 1.40000+ 1 1.40000+ 1 8.28033- 2 6.95210- 4 1.40000+ 1 1.60000+ 1 6.04329- 4 7.00420- 4 1 26000 0 7 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 4.32722- 6 3.29700- 5 1.10000+ 1 1.00911- 5 3.45600- 5 1 26000 0 9 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 6.74478- 2 2.00600- 5 1.00000+ 1 1.40000+ 1 1.60843- 1 2.02300- 5 1.00000+ 1 1.60000+ 1 6.28807- 2 2.54400- 5 1.10000+ 1 1.30000+ 1 2.24301- 1 2.16500- 5 1.10000+ 1 1.40000+ 1 2.69824- 1 2.18200- 5 1.10000+ 1 1.60000+ 1 1.19429- 1 2.70300- 5 1.30000+ 1 1.30000+ 1 1.07986- 3 7.51900- 5 1.30000+ 1 1.40000+ 1 2.33924- 2 7.53600- 5 1.30000+ 1 1.60000+ 1 2.57210- 2 8.05700- 5 1.40000+ 1 1.40000+ 1 6.79262- 3 7.55300- 5 1.40000+ 1 1.60000+ 1 3.82746- 2 8.07400- 5 1 26000 0 7 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 3.89240- 6 5.51300- 5 1.60000+ 1 3.74790- 7 6.05100- 5 1 26000 0 9 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.15554- 1 4.22200- 5 1.30000+ 1 1.40000+ 1 7.79704- 1 4.23900- 5 1.30000+ 1 1.60000+ 1 7.46132- 2 4.76000- 5 1.40000+ 1 1.40000+ 1 1.70815- 2 4.25600- 5 1.40000+ 1 1.60000+ 1 1.30435- 2 4.77700- 5 1 26000 0 7 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 3.49259- 7 5.35400- 5 1.40000+ 1 3.18269- 6 5.37100- 5 1.60000+ 1 1.15860- 7 5.89200- 5 1 26000 0 9 5.58470+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.83619- 2 4.06300- 5 1.30000+ 1 1.40000+ 1 5.68347- 1 4.08000- 5 1.30000+ 1 1.60000+ 1 1.72185- 2 4.60100- 5 1.40000+ 1 1.40000+ 1 3.19708- 1 4.09700- 5 1.40000+ 1 1.60000+ 1 7.63603- 2 4.61800- 5 1 27000 0 0 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 2.80000+ 0 1.40000+ 1 4.20000+ 0 1.60000+ 1 2.00000+ 0 1 27000 0 0 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.68070- 3 3.00000+ 0 9.22950- 4 5.00000+ 0 8.07540- 4 6.00000+ 0 7.92290- 4 8.00000+ 0 1.09690- 4 1.00000+ 1 7.41700- 5 1.10000+ 1 7.22600- 5 1.30000+ 1 1.39300- 5 1.40000+ 1 1.37200- 5 1.60000+ 1 7.81000- 6 1 27000 0 0 5.89332+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.89980- 3 3.00000+ 0 1.86440- 3 5.00000+ 0 1.85060- 3 6.00000+ 0 1.79240- 3 8.00000+ 0 4.09810- 4 1.00000+ 1 3.67480- 4 1.10000+ 1 3.56840- 4 1.30000+ 1 2.42170- 4 1.40000+ 1 2.39860- 4 1.60000+ 1 3.53200- 5 1 27000 0 0 5.89332+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.96420-10 3.00000+ 0 1.34040- 9 5.00000+ 0 1.16580- 9 6.00000+ 0 1.18200- 9 8.00000+ 0 4.04310- 9 1.00000+ 1 4.20140- 9 1.10000+ 1 4.25160- 9 1.30000+ 1 5.20160- 9 1.40000+ 1 5.22860- 9 1.60000+ 1 1.52460- 8 1 27000 0 0 5.89332+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.68950- 7 3.00000+ 0 3.17610- 9 5.00000+ 0 2.85430- 9 6.00000+ 0 2.81750- 9 8.00000+ 0 2.10460-11 1.00000+ 1 4.98740-11 1.10000+ 1 4.69480-11 1 27000 0 0 5.89332+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.66860- 7 3.00000+ 0 7.96820- 6 5.00000+ 0 4.54350- 7 6.00000+ 0 4.65880- 7 8.00000+ 0 3.97330- 6 1.00000+ 1 2.00080- 6 1.10000+ 1 1.92730- 6 1 27000 0 0 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.48996- 5 3.00000+ 0 6.47781- 5 5.00000+ 0 4.49591- 5 6.00000+ 0 4.44660- 5 8.00000+ 0 3.80901- 5 1.00000+ 1 2.72279- 5 1.10000+ 1 2.70961- 5 1.30000+ 1 1.39300- 5 1.40000+ 1 1.37200- 5 1.60000+ 1 7.81000- 6 1 27000 0 7 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.78184- 1 3.00000+ 0 6.86704- 3 5.00000+ 0 6.66893- 3 6.00000+ 0 6.32120- 3 8.00000+ 0 2.48179- 5 1.00000+ 1 7.89252- 6 1.10000+ 1 6.78428- 6 1 27000 0 7 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.57389- 3 3.00000+ 0 5.05166- 6 5.00000+ 0 4.86457- 6 6.00000+ 0 4.52323- 6 8.00000+ 0 1.05882- 9 1.00000+ 1 4.80096-10 1.10000+ 1 3.98490-10 1 27000 0 9 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.53018+ 0 3.00000+ 0 3.79962+ 0 5.00000+ 0 2.30910+ 0 6.00000+ 0 2.27965+ 0 8.00000+ 0 1.89193+ 0 1.00000+ 1 9.99992- 1 1.10000+ 1 9.99993- 1 1 27000 0 9 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.03191- 3 3.00000+ 0 8.53120- 4 5.00000+ 0 7.57716- 4 6.00000+ 0 7.43301- 4 8.00000+ 0 7.15989- 5 1.00000+ 1 4.69416- 5 1.10000+ 1 4.51635- 5 1 27000 0 7 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.11220- 1 6.87316- 3 6.00000+ 0 2.17470- 1 6.88841- 3 1.00000+ 1 1.35020- 2 7.60653- 3 1.10000+ 1 2.65130- 2 7.60844- 3 1.30000+ 1 8.90651- 6 7.66677- 3 1.40000+ 1 1.29740- 5 7.66698- 3 1 27000 0 9 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.27124- 2 5.83480- 3 3.00000+ 0 5.00000+ 0 4.74273- 2 5.95021- 3 3.00000+ 0 6.00000+ 0 8.58406- 2 5.96546- 3 3.00000+ 0 8.00000+ 0 1.15070- 2 6.64806- 3 3.00000+ 0 1.00000+ 1 6.14326- 3 6.68358- 3 3.00000+ 0 1.10000+ 1 1.10443- 2 6.68549- 3 3.00000+ 0 1.30000+ 1 2.17156- 4 6.74382- 3 3.00000+ 0 1.40000+ 1 2.97768- 4 6.74403- 3 3.00000+ 0 1.60000+ 1 9.80551- 4 6.74994- 3 5.00000+ 0 5.00000+ 0 8.48061- 3 6.06562- 3 5.00000+ 0 6.00000+ 0 2.02598- 1 6.08087- 3 5.00000+ 0 8.00000+ 0 5.43591- 3 6.76347- 3 5.00000+ 0 1.00000+ 1 2.06868- 3 6.79899- 3 5.00000+ 0 1.10000+ 1 2.25659- 2 6.80090- 3 5.00000+ 0 1.30000+ 1 2.99997- 4 6.85923- 3 5.00000+ 0 1.40000+ 1 1.11715- 3 6.85944- 3 5.00000+ 0 1.60000+ 1 4.54490- 4 6.86535- 3 6.00000+ 0 6.00000+ 0 1.12642- 1 6.09612- 3 6.00000+ 0 8.00000+ 0 9.88021- 3 6.77872- 3 6.00000+ 0 1.00000+ 1 2.25721- 2 6.81424- 3 6.00000+ 0 1.10000+ 1 2.55006- 2 6.81615- 3 6.00000+ 0 1.30000+ 1 1.38815- 3 6.87448- 3 6.00000+ 0 1.40000+ 1 1.36120- 3 6.87469- 3 6.00000+ 0 1.60000+ 1 8.26176- 4 6.88060- 3 8.00000+ 0 8.00000+ 0 7.81035- 4 7.46132- 3 8.00000+ 0 1.00000+ 1 7.21697- 4 7.49684- 3 8.00000+ 0 1.10000+ 1 1.30171- 3 7.49875- 3 8.00000+ 0 1.30000+ 1 2.28386- 5 7.55708- 3 8.00000+ 0 1.40000+ 1 3.19734- 5 7.55729- 3 8.00000+ 0 1.60000+ 1 1.32453- 4 7.56320- 3 1.00000+ 1 1.00000+ 1 1.26087- 4 7.53236- 3 1.00000+ 1 1.10000+ 1 2.64319- 3 7.53427- 3 1.00000+ 1 1.30000+ 1 2.80194- 5 7.59260- 3 1.00000+ 1 1.40000+ 1 1.07403- 4 7.59281- 3 1.00000+ 1 1.60000+ 1 6.07090- 5 7.59872- 3 1.10000+ 1 1.10000+ 1 1.55442- 3 7.53618- 3 1.10000+ 1 1.30000+ 1 1.37361- 4 7.59451- 3 1.10000+ 1 1.40000+ 1 1.32545- 4 7.59472- 3 1.10000+ 1 1.60000+ 1 1.15679- 4 7.60063- 3 1.30000+ 1 1.40000+ 1 6.55484- 6 7.65305- 3 1.30000+ 1 1.60000+ 1 3.27757- 6 7.65896- 3 1.40000+ 1 1.40000+ 1 2.35960- 6 7.65326- 3 1.40000+ 1 1.60000+ 1 2.35960- 6 7.65917- 3 1 27000 0 7 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.45119- 5 1.15410- 4 6.00000+ 0 1.01089- 4 1.30660- 4 1.00000+ 1 5.82787- 4 8.48780- 4 1.10000+ 1 8.69745- 4 8.50690- 4 1.30000+ 1 1.95629- 6 9.09020- 4 1.40000+ 1 2.59669- 6 9.09230- 4 1 27000 0 9 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.00000+ 1 5.01273- 2 4.12400- 5 5.00000+ 0 1.10000+ 1 7.04496- 2 4.31500- 5 5.00000+ 0 1.30000+ 1 4.27372- 2 1.01480- 4 5.00000+ 0 1.40000+ 1 6.95699- 2 1.01690- 4 5.00000+ 0 1.60000+ 1 5.61458- 3 1.07600- 4 6.00000+ 0 8.00000+ 0 1.24181- 1 2.09700- 5 6.00000+ 0 1.00000+ 1 6.24053- 2 5.64900- 5 6.00000+ 0 1.10000+ 1 1.38101- 1 5.84000- 5 6.00000+ 0 1.30000+ 1 1.02472- 1 1.16730- 4 6.00000+ 0 1.40000+ 1 1.45350- 1 1.16940- 4 6.00000+ 0 1.60000+ 1 1.01972- 2 1.22850- 4 8.00000+ 0 8.00000+ 0 1.32692- 2 7.03570- 4 8.00000+ 0 1.00000+ 1 2.39817- 2 7.39090- 4 8.00000+ 0 1.10000+ 1 4.68622- 2 7.41000- 4 8.00000+ 0 1.30000+ 1 1.75944- 2 7.99330- 4 8.00000+ 0 1.40000+ 1 2.59166- 2 7.99540- 4 8.00000+ 0 1.60000+ 1 2.01521- 3 8.05450- 4 1.00000+ 1 1.00000+ 1 3.65458- 4 7.74610- 4 1.00000+ 1 1.10000+ 1 6.76548- 4 7.76520- 4 1.00000+ 1 1.30000+ 1 2.62206- 4 8.34850- 4 1.00000+ 1 1.40000+ 1 5.05292- 3 8.35060- 4 1.00000+ 1 1.60000+ 1 1.60312- 3 8.40970- 4 1.10000+ 1 1.10000+ 1 1.11982- 3 7.78430- 4 1.10000+ 1 1.30000+ 1 5.15567- 3 8.36760- 4 1.10000+ 1 1.40000+ 1 3.71915- 3 8.36970- 4 1.10000+ 1 1.60000+ 1 3.02729- 3 8.42880- 4 1.30000+ 1 1.30000+ 1 3.59587- 4 8.95090- 4 1.30000+ 1 1.40000+ 1 1.85429- 2 8.95300- 4 1.30000+ 1 1.60000+ 1 1.20539- 3 9.01210- 4 1.40000+ 1 1.40000+ 1 4.81015- 3 8.95510- 4 1.40000+ 1 1.60000+ 1 1.67242- 3 9.01420- 4 1 27000 0 7 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.93070-10 1.52500- 5 8.00000+ 0 4.38210- 3 6.97850- 4 1.10000+ 1 1.16510- 5 7.35280- 4 1.30000+ 1 2.16770- 3 7.93610- 4 1.60000+ 1 9.63101- 5 7.99730- 4 1 27000 0 9 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 4.85394- 3 5.88160- 4 8.00000+ 0 1.00000+ 1 8.93125- 2 6.23680- 4 8.00000+ 0 1.10000+ 1 7.33292- 3 6.25590- 4 8.00000+ 0 1.30000+ 1 3.33425- 3 6.83920- 4 8.00000+ 0 1.40000+ 1 6.41994- 3 6.84130- 4 8.00000+ 0 1.60000+ 1 7.16532- 4 6.90040- 4 1.00000+ 1 1.00000+ 1 7.67698- 2 6.59200- 4 1.00000+ 1 1.10000+ 1 2.65459- 1 6.61110- 4 1.00000+ 1 1.30000+ 1 6.59929- 2 7.19440- 4 1.00000+ 1 1.40000+ 1 1.27088- 1 7.19650- 4 1.00000+ 1 1.60000+ 1 7.65047- 3 7.25560- 4 1.10000+ 1 1.10000+ 1 7.37342- 3 6.63020- 4 1.10000+ 1 1.30000+ 1 7.76461- 2 7.21350- 4 1.10000+ 1 1.40000+ 1 1.16618- 2 7.21560- 4 1.10000+ 1 1.60000+ 1 5.54730- 4 7.27470- 4 1.30000+ 1 1.30000+ 1 4.18305- 2 7.79680- 4 1.30000+ 1 1.40000+ 1 1.90517- 1 7.79890- 4 1.30000+ 1 1.60000+ 1 3.22715- 4 7.85800- 4 1.40000+ 1 1.40000+ 1 7.98565- 3 7.80100- 4 1.40000+ 1 1.60000+ 1 5.20056- 4 7.86010- 4 1 27000 0 7 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.06980- 3 6.82600- 4 1.00000+ 1 5.77370- 6 7.18120- 4 1.10000+ 1 5.61670- 6 7.20030- 4 1.30000+ 1 1.78750- 4 7.78360- 4 1.40000+ 1 1.96340- 3 7.78570- 4 1.60000+ 1 8.75179- 5 7.84480- 4 1 27000 0 9 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 4.81604- 3 5.72910- 4 8.00000+ 0 1.00000+ 1 3.33324- 3 6.08430- 4 8.00000+ 0 1.10000+ 1 9.02499- 2 6.10340- 4 8.00000+ 0 1.30000+ 1 4.28644- 3 6.68670- 4 8.00000+ 0 1.40000+ 1 5.64635- 3 6.68880- 4 8.00000+ 0 1.60000+ 1 7.07913- 4 6.74790- 4 1.00000+ 1 1.00000+ 1 1.27101- 3 6.43950- 4 1.00000+ 1 1.10000+ 1 1.36981- 1 6.45860- 4 1.00000+ 1 1.30000+ 1 4.12509- 3 7.04190- 4 1.00000+ 1 1.40000+ 1 3.97415- 2 7.04400- 4 1.00000+ 1 1.60000+ 1 2.50860- 4 7.10310- 4 1.10000+ 1 1.10000+ 1 2.02253- 1 6.47770- 4 1.10000+ 1 1.30000+ 1 9.46195- 2 7.06100- 4 1.10000+ 1 1.40000+ 1 1.41819- 1 7.06310- 4 1.10000+ 1 1.60000+ 1 7.69827- 3 7.12220- 4 1.30000+ 1 1.30000+ 1 7.02719- 3 7.64430- 4 1.30000+ 1 1.40000+ 1 1.42632- 1 7.64640- 4 1.30000+ 1 1.60000+ 1 4.00653- 4 7.70550- 4 1.40000+ 1 1.40000+ 1 1.05247- 1 7.64850- 4 1.40000+ 1 1.60000+ 1 5.82667- 4 7.70760- 4 1 27000 0 7 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 5.47361- 6 3.55200- 5 1.10000+ 1 1.29780- 5 3.74300- 5 1 27000 0 9 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 6.93936- 2 2.15900- 5 1.00000+ 1 1.40000+ 1 1.57018- 1 2.18000- 5 1.00000+ 1 1.60000+ 1 5.78490- 2 2.77100- 5 1.10000+ 1 1.30000+ 1 2.22978- 1 2.35000- 5 1.10000+ 1 1.40000+ 1 2.76072- 1 2.37100- 5 1.10000+ 1 1.60000+ 1 1.08621- 1 2.96200- 5 1.30000+ 1 1.30000+ 1 1.64740- 3 8.18300- 5 1.30000+ 1 1.40000+ 1 2.83762- 2 8.20400- 5 1.30000+ 1 1.60000+ 1 2.77636- 2 8.79500- 5 1.40000+ 1 1.40000+ 1 8.98900- 3 8.22500- 5 1.40000+ 1 1.60000+ 1 4.12731- 2 8.81600- 5 1 27000 0 7 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 7.13272- 6 6.02400- 5 1.60000+ 1 7.59802- 7 6.63600- 5 1 27000 0 9 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.27723- 1 4.63100- 5 1.30000+ 1 1.40000+ 1 7.79331- 1 4.65200- 5 1.30000+ 1 1.60000+ 1 6.38787- 2 5.24300- 5 1.40000+ 1 1.40000+ 1 1.80280- 2 4.67300- 5 1.40000+ 1 1.60000+ 1 1.10311- 2 5.26400- 5 1 27000 0 7 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 6.45152- 7 5.83300- 5 1.40000+ 1 5.88982- 6 5.85400- 5 1.60000+ 1 2.49311- 7 6.44500- 5 1 27000 0 9 5.89332+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 2.03579- 2 4.44000- 5 1.30000+ 1 1.40000+ 1 5.64172- 1 4.46100- 5 1.30000+ 1 1.60000+ 1 1.46916- 2 5.05200- 5 1.40000+ 1 1.40000+ 1 3.35276- 1 4.48200- 5 1.40000+ 1 1.60000+ 1 6.54957- 2 5.07300- 5 1 28000 0 0 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 3.20000+ 0 1.40000+ 1 4.80000+ 0 1.60000+ 1 2.00000+ 0 1 28000 0 0 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.30280- 3 3.00000+ 0 1.00650- 3 5.00000+ 0 8.84980- 4 6.00000+ 0 8.67020- 4 8.00000+ 0 1.18640- 4 1.00000+ 1 8.04800- 5 1.10000+ 1 7.82100- 5 1.30000+ 1 1.49200- 5 1.40000+ 1 1.46600- 5 1.60000+ 1 8.09000- 6 1 28000 0 0 5.87000+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.06810- 2 3.00000+ 0 2.03100- 3 5.00000+ 0 2.01820- 3 6.00000+ 0 1.95000- 3 8.00000+ 0 4.48710- 4 1.00000+ 1 4.04060- 4 1.10000+ 1 3.91360- 4 1.30000+ 1 2.69820- 4 1.40000+ 1 2.66980- 4 1.60000+ 1 3.74400- 5 1 28000 0 0 5.87000+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.85330-10 3.00000+ 0 1.28550- 9 5.00000+ 0 1.11560- 9 6.00000+ 0 1.13220- 9 8.00000+ 0 3.86930- 9 1.00000+ 1 4.00830- 9 1.10000+ 1 4.06240- 9 1.30000+ 1 4.93130- 9 1.40000+ 1 4.96210- 9 1.60000+ 1 1.47740- 8 1 28000 0 0 5.87000+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.50990- 7 3.00000+ 0 3.84670- 9 5.00000+ 0 3.96690- 9 6.00000+ 0 3.90640- 9 8.00000+ 0 2.41440-11 1.00000+ 1 6.60560-11 1.10000+ 1 6.17790-11 1 28000 0 0 5.87000+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.83170- 7 3.00000+ 0 8.51080- 6 5.00000+ 0 5.21230- 7 6.00000+ 0 5.28900- 7 8.00000+ 0 4.24750- 6 1.00000+ 1 2.54090- 6 1.10000+ 1 2.44740- 6 1 28000 0 0 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.60371- 5 3.00000+ 0 6.73273- 5 5.00000+ 0 4.63814- 5 6.00000+ 0 4.61345- 5 8.00000+ 0 4.06058- 5 1.00000+ 1 2.91789- 5 1.10000+ 1 2.90180- 5 1.30000+ 1 1.49200- 5 1.40000+ 1 1.46600- 5 1.60000+ 1 8.09000- 6 1 28000 0 7 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.12292- 1 3.00000+ 0 7.95692- 3 5.00000+ 0 7.92148- 3 6.00000+ 0 7.51092- 3 8.00000+ 0 3.37965- 5 1.00000+ 1 1.34402- 5 1.10000+ 1 1.16162- 5 1 28000 0 7 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.02547- 3 3.00000+ 0 6.46285- 6 5.00000+ 0 6.39843- 6 6.00000+ 0 5.94645- 6 8.00000+ 0 1.61118- 9 1.00000+ 1 8.90788-10 1.10000+ 1 7.41283-10 1 28000 0 9 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.24147+ 0 3.00000+ 0 3.65702+ 0 5.00000+ 0 2.19004+ 0 6.00000+ 0 2.17558+ 0 8.00000+ 0 1.87983+ 0 1.00000+ 1 9.99987- 1 1.10000+ 1 9.99988- 1 1 28000 0 9 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.20130- 3 3.00000+ 0 9.32710- 4 5.00000+ 0 8.32200- 4 6.00000+ 0 8.14939- 4 8.00000+ 0 7.80326- 5 1.00000+ 1 5.13002- 5 1.10000+ 1 4.91913- 5 1 28000 0 7 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.21060- 1 7.41782- 3 6.00000+ 0 2.36419- 1 7.43578- 3 1.00000+ 1 1.48050- 2 8.22232- 3 1.10000+ 1 2.90299- 2 8.22459- 3 1.30000+ 1 1.26910- 5 8.28788- 3 1.40000+ 1 1.84450- 5 8.28814- 3 1 28000 0 9 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.06788- 2 6.28980- 3 3.00000+ 0 5.00000+ 0 4.51818- 2 6.41132- 3 3.00000+ 0 6.00000+ 0 8.10999- 2 6.42928- 3 3.00000+ 0 8.00000+ 0 1.09920- 2 7.17766- 3 3.00000+ 0 1.00000+ 1 5.89415- 3 7.21582- 3 3.00000+ 0 1.10000+ 1 1.04968- 2 7.21809- 3 3.00000+ 0 1.30000+ 1 2.45244- 4 7.28138- 3 3.00000+ 0 1.40000+ 1 3.36680- 4 7.28164- 3 3.00000+ 0 1.60000+ 1 9.04076- 4 7.28821- 3 5.00000+ 0 5.00000+ 0 8.05326- 3 6.53284- 3 5.00000+ 0 6.00000+ 0 1.91464- 1 6.55080- 3 5.00000+ 0 8.00000+ 0 5.18552- 3 7.29918- 3 5.00000+ 0 1.00000+ 1 1.97028- 3 7.33734- 3 5.00000+ 0 1.10000+ 1 2.14086- 2 7.33961- 3 5.00000+ 0 1.30000+ 1 3.40843- 4 7.40290- 3 5.00000+ 0 1.40000+ 1 1.25951- 3 7.40316- 3 5.00000+ 0 1.60000+ 1 4.17749- 4 7.40973- 3 6.00000+ 0 6.00000+ 0 1.06181- 1 6.56876- 3 6.00000+ 0 8.00000+ 0 9.34647- 3 7.31714- 3 6.00000+ 0 1.00000+ 1 2.14238- 2 7.35530- 3 6.00000+ 0 1.10000+ 1 2.41334- 2 7.35757- 3 6.00000+ 0 1.30000+ 1 1.56286- 3 7.42086- 3 6.00000+ 0 1.40000+ 1 1.52965- 3 7.42112- 3 6.00000+ 0 1.60000+ 1 7.52322- 4 7.42769- 3 8.00000+ 0 8.00000+ 0 7.61029- 4 8.06552- 3 8.00000+ 0 1.00000+ 1 7.04933- 4 8.10368- 3 8.00000+ 0 1.10000+ 1 1.25902- 3 8.10595- 3 8.00000+ 0 1.30000+ 1 2.80260- 5 8.16924- 3 8.00000+ 0 1.40000+ 1 3.66493- 5 8.16950- 3 8.00000+ 0 1.60000+ 1 1.25036- 4 8.17607- 3 1.00000+ 1 1.00000+ 1 1.24412- 4 8.14184- 3 1.00000+ 1 1.10000+ 1 2.58160- 3 8.14411- 3 1.00000+ 1 1.30000+ 1 3.11038- 5 8.20740- 3 1.00000+ 1 1.40000+ 1 1.24412- 4 8.20766- 3 1.00000+ 1 1.60000+ 1 5.77652- 5 8.21423- 3 1.10000+ 1 1.10000+ 1 1.52067- 3 8.14638- 3 1.10000+ 1 1.30000+ 1 1.61274- 4 8.20967- 3 1.10000+ 1 1.40000+ 1 1.54360- 4 8.20993- 3 1.10000+ 1 1.60000+ 1 1.08291- 4 8.21650- 3 1.30000+ 1 1.40000+ 1 8.63385- 6 8.27322- 3 1.30000+ 1 1.60000+ 1 2.87812- 6 8.27979- 3 1.40000+ 1 1.40000+ 1 3.13604- 6 8.27348- 3 1.40000+ 1 1.60000+ 1 3.13604- 6 8.28005- 3 1 28000 0 7 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.14808- 5 1.21520- 4 6.00000+ 0 9.31647- 5 1.39480- 4 1.00000+ 1 6.32143- 4 9.26020- 4 1.10000+ 1 9.67704- 4 9.28290- 4 1.30000+ 1 2.27301- 6 9.91580- 4 1.40000+ 1 2.97943- 6 9.91840- 4 1 28000 0 9 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.00000+ 1 4.87391- 2 4.10400- 5 5.00000+ 0 1.10000+ 1 6.93105- 2 4.33100- 5 5.00000+ 0 1.30000+ 1 4.41388- 2 1.06600- 4 5.00000+ 0 1.40000+ 1 7.15333- 2 1.06860- 4 5.00000+ 0 1.60000+ 1 5.14809- 3 1.13430- 4 6.00000+ 0 8.00000+ 0 1.14861- 1 2.08400- 5 6.00000+ 0 1.00000+ 1 6.04399- 2 5.90000- 5 6.00000+ 0 1.10000+ 1 1.32102- 1 6.12700- 5 6.00000+ 0 1.30000+ 1 1.07403- 1 1.24560- 4 6.00000+ 0 1.40000+ 1 1.52509- 1 1.24820- 4 6.00000+ 0 1.60000+ 1 9.25467- 3 1.31390- 4 8.00000+ 0 8.00000+ 0 1.23365- 2 7.69220- 4 8.00000+ 0 1.00000+ 1 2.23644- 2 8.07380- 4 8.00000+ 0 1.10000+ 1 4.36083- 2 8.09650- 4 8.00000+ 0 1.30000+ 1 1.91210- 2 8.72940- 4 8.00000+ 0 1.40000+ 1 2.81122- 2 8.73200- 4 8.00000+ 0 1.60000+ 1 1.80752- 3 8.79770- 4 1.00000+ 1 1.00000+ 1 3.26025- 4 8.45540- 4 1.00000+ 1 1.10000+ 1 6.74812- 4 8.47810- 4 1.00000+ 1 1.30000+ 1 2.86845- 4 9.11100- 4 1.00000+ 1 1.40000+ 1 5.60458- 3 9.11360- 4 1.00000+ 1 1.60000+ 1 1.44563- 3 9.17930- 4 1.10000+ 1 1.10000+ 1 1.07183- 3 8.50080- 4 1.10000+ 1 1.30000+ 1 5.83763- 3 9.13370- 4 1.10000+ 1 1.40000+ 1 4.19256- 3 9.13630- 4 1.10000+ 1 1.60000+ 1 2.80996- 3 9.20200- 4 1.30000+ 1 1.30000+ 1 4.63433- 4 9.76660- 4 1.30000+ 1 1.40000+ 1 2.35853- 2 9.76920- 4 1.30000+ 1 1.60000+ 1 1.25527- 3 9.83490- 4 1.40000+ 1 1.40000+ 1 6.18041- 3 9.77180- 4 1.40000+ 1 1.60000+ 1 1.75708- 3 9.83750- 4 1 28000 0 7 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 3.92551-10 1.79600- 5 8.00000+ 0 4.55671- 3 7.66340- 4 1.10000+ 1 1.39400- 5 8.06770- 4 1.30000+ 1 3.12391- 3 8.70060- 4 1.60000+ 1 1.08300- 4 8.76890- 4 1 28000 0 9 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.36660- 2 9.87000- 6 8.00000+ 0 8.00000+ 0 4.12943- 3 6.47700- 4 8.00000+ 0 1.00000+ 1 7.62945- 2 6.85860- 4 8.00000+ 0 1.10000+ 1 6.34256- 3 6.88130- 4 8.00000+ 0 1.30000+ 1 3.11451- 3 7.51420- 4 8.00000+ 0 1.40000+ 1 6.41691- 3 7.51680- 4 8.00000+ 0 1.60000+ 1 5.84255- 4 7.58250- 4 1.00000+ 1 1.00000+ 1 6.59229- 2 7.24020- 4 1.00000+ 1 1.10000+ 1 2.27127- 1 7.26290- 4 1.00000+ 1 1.30000+ 1 6.57901- 2 7.89580- 4 1.00000+ 1 1.40000+ 1 1.25998- 1 7.89840- 4 1.00000+ 1 1.60000+ 1 6.29326- 3 7.96410- 4 1.10000+ 1 1.10000+ 1 6.31775- 3 7.28560- 4 1.10000+ 1 1.30000+ 1 7.81152- 2 7.91850- 4 1.10000+ 1 1.40000+ 1 1.16208- 2 7.92110- 4 1.10000+ 1 1.60000+ 1 4.65414- 4 7.98680- 4 1.30000+ 1 1.30000+ 1 5.11766- 2 8.55140- 4 1.30000+ 1 1.40000+ 1 2.32640- 1 8.55400- 4 1.30000+ 1 1.60000+ 1 3.04350- 4 8.61970- 4 1.40000+ 1 1.40000+ 1 9.37841- 3 8.55660- 4 1.40000+ 1 1.60000+ 1 5.00110- 4 8.62230- 4 1 28000 0 7 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.26136- 3 7.48380- 4 1.00000+ 1 7.03973- 6 7.86540- 4 1.10000+ 1 6.83503- 6 7.88810- 4 1.30000+ 1 2.62697- 4 8.52100- 4 1.40000+ 1 2.85977- 3 8.52360- 4 1.60000+ 1 9.78831- 5 8.58930- 4 1 28000 0 9 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 4.25752- 3 6.29740- 4 8.00000+ 0 1.00000+ 1 2.97197- 3 6.67900- 4 8.00000+ 0 1.10000+ 1 7.98570- 2 6.70170- 4 8.00000+ 0 1.30000+ 1 4.42077- 3 7.33460- 4 8.00000+ 0 1.40000+ 1 5.62247- 3 7.33720- 4 8.00000+ 0 1.60000+ 1 6.03281- 4 7.40290- 4 1.00000+ 1 1.00000+ 1 1.12741- 3 7.06060- 4 1.00000+ 1 1.10000+ 1 1.21639- 1 7.08330- 4 1.00000+ 1 1.30000+ 1 4.32169- 3 7.71620- 4 1.00000+ 1 1.40000+ 1 4.13628- 2 7.71880- 4 1.00000+ 1 1.60000+ 1 2.17581- 4 7.78450- 4 1.10000+ 1 1.10000+ 1 1.79207- 1 7.10600- 4 1.10000+ 1 1.30000+ 1 9.75631- 2 7.73890- 4 1.10000+ 1 1.40000+ 1 1.46538- 1 7.74150- 4 1.10000+ 1 1.60000+ 1 6.55703- 3 7.80720- 4 1.30000+ 1 1.30000+ 1 8.31042- 3 8.37180- 4 1.30000+ 1 1.40000+ 1 1.68447- 1 8.37440- 4 1.30000+ 1 1.60000+ 1 3.80946- 4 8.44010- 4 1.40000+ 1 1.40000+ 1 1.18583- 1 8.37700- 4 1.40000+ 1 1.60000+ 1 5.15735- 4 8.44270- 4 1 28000 0 7 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 6.76023- 6 3.81600- 5 1.10000+ 1 1.63071- 5 4.04300- 5 1 28000 0 9 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 7.01871- 2 2.32400- 5 1.00000+ 1 1.40000+ 1 1.55305- 1 2.35000- 5 1.00000+ 1 1.60000+ 1 5.32894- 2 3.00700- 5 1.10000+ 1 1.30000+ 1 2.22739- 1 2.55100- 5 1.10000+ 1 1.40000+ 1 2.78669- 1 2.57700- 5 1.10000+ 1 1.60000+ 1 9.96551- 2 3.23400- 5 1.30000+ 1 1.30000+ 1 2.32308- 3 8.88000- 5 1.30000+ 1 1.40000+ 1 3.33218- 2 8.90600- 5 1.30000+ 1 1.60000+ 1 2.94384- 2 9.56300- 5 1.40000+ 1 1.40000+ 1 1.13271- 2 8.93200- 5 1.40000+ 1 1.60000+ 1 4.37231- 2 9.58900- 5 1 28000 0 7 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.20271- 5 6.55600- 5 1.60000+ 1 1.41311- 6 7.23900- 5 1 28000 0 9 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.37024- 1 5.06400- 5 1.30000+ 1 1.40000+ 1 7.78847- 1 5.09000- 5 1.30000+ 1 1.60000+ 1 5.57833- 2 5.74700- 5 1.40000+ 1 1.40000+ 1 1.87946- 2 5.11600- 5 1.40000+ 1 1.60000+ 1 9.53758- 3 5.77300- 5 1 28000 0 7 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.09460- 6 6.32900- 5 1.40000+ 1 1.00110- 5 6.35500- 5 1.60000+ 1 5.10659- 7 7.01200- 5 1 28000 0 9 5.87000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 2.18808- 2 4.83700- 5 1.30000+ 1 1.40000+ 1 5.58801- 1 4.86300- 5 1.30000+ 1 1.60000+ 1 1.27870- 2 5.52000- 5 1.40000+ 1 1.40000+ 1 3.49009- 1 4.88900- 5 1.40000+ 1 1.60000+ 1 5.75100- 2 5.54600- 5 1 29000 0 0 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 1.00000+ 0 1 29000 0 0 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.94320- 3 3.00000+ 0 1.08610- 3 5.00000+ 0 9.58530- 4 6.00000+ 0 9.37490- 4 8.00000+ 0 1.21260- 4 1.00000+ 1 8.05000- 5 1.10000+ 1 7.78600- 5 1.30000+ 1 1.00900- 5 1.40000+ 1 9.80000- 6 1.60000+ 1 7.11000- 6 1 29000 0 0 6.35460+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.14950- 2 3.00000+ 0 2.20560- 3 5.00000+ 0 2.19420- 3 6.00000+ 0 2.11470- 3 8.00000+ 0 4.84390- 4 1.00000+ 1 4.36150- 4 1.10000+ 1 4.21020- 4 1.30000+ 1 2.78950- 4 1.40000+ 1 2.75130- 4 1.60000+ 1 2.99700- 5 1 29000 0 0 6.35460+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.75060-10 3.00000+ 0 1.23460- 9 5.00000+ 0 1.06930- 9 6.00000+ 0 1.08670- 9 8.00000+ 0 3.72990- 9 1.00000+ 1 3.86550- 9 1.10000+ 1 3.91950- 9 1.30000+ 1 5.05870- 9 1.40000+ 1 5.10500- 9 1.60000+ 1 1.59410- 8 1 29000 0 0 6.35460+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.42420- 7 3.00000+ 0 4.54580- 9 5.00000+ 0 5.49630- 9 6.00000+ 0 5.38770- 9 8.00000+ 0 2.76390-11 1.00000+ 1 9.09690-11 1.10000+ 1 8.42870-11 1 29000 0 0 6.35460+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.94610- 7 3.00000+ 0 9.12660- 6 5.00000+ 0 5.93150- 7 6.00000+ 0 6.08090- 7 8.00000+ 0 4.72620- 6 1.00000+ 1 3.56150- 6 1.10000+ 1 3.45790- 6 1 29000 0 0 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.90358- 5 3.00000+ 0 4.45953- 5 5.00000+ 0 3.04874- 5 6.00000+ 0 3.02564- 5 8.00000+ 0 2.80509- 5 1.00000+ 1 1.98636- 5 1.10000+ 1 1.97080- 5 1.30000+ 1 1.00900- 5 1.40000+ 1 9.80000- 6 1.60000+ 1 7.11000- 6 1 29000 0 7 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.46389- 1 3.00000+ 0 9.17367- 3 5.00000+ 0 9.32467- 3 6.00000+ 0 8.82502- 3 8.00000+ 0 4.51499- 5 1.00000+ 1 2.14880- 5 1.10000+ 1 1.86681- 5 1 29000 0 7 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.52166- 3 3.00000+ 0 8.17916- 6 5.00000+ 0 8.29947- 6 6.00000+ 0 7.68388- 6 8.00000+ 0 2.37199- 9 1.00000+ 1 1.51994- 9 1.10000+ 1 1.27261- 9 1 29000 0 9 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.96616+ 0 3.00000+ 0 3.52113+ 0 5.00000+ 0 2.07917+ 0 6.00000+ 0 2.06636+ 0 8.00000+ 0 1.86503+ 0 1.00000+ 1 9.99979- 1 1.10000+ 1 9.99981- 1 1 29000 0 9 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.37250- 3 3.00000+ 0 1.03333- 3 5.00000+ 0 9.19743- 4 6.00000+ 0 8.99550- 4 8.00000+ 0 9.32067- 5 1.00000+ 1 6.06349- 5 1.10000+ 1 5.81507- 5 1 29000 0 7 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.31119- 1 7.98467- 3 6.00000+ 0 2.55668- 1 8.00571- 3 1.00000+ 1 1.58899- 2 8.86270- 3 1.10000+ 1 3.10908- 2 8.86534- 3 1.30000+ 1 1.79389- 5 8.93311- 3 1.40000+ 1 2.59348- 5 8.93340- 3 1 29000 0 9 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.88567- 2 6.77100- 3 3.00000+ 0 5.00000+ 0 4.31908- 2 6.89857- 3 3.00000+ 0 6.00000+ 0 7.68383- 2 6.91961- 3 3.00000+ 0 8.00000+ 0 1.04073- 2 7.73584- 3 3.00000+ 0 1.00000+ 1 5.57458- 3 7.77660- 3 3.00000+ 0 1.10000+ 1 9.82486- 3 7.77924- 3 3.00000+ 0 1.30000+ 1 2.80672- 4 7.84701- 3 3.00000+ 0 1.40000+ 1 3.81309- 4 7.84730- 3 3.00000+ 0 1.60000+ 1 3.54221- 4 7.84999- 3 5.00000+ 0 5.00000+ 0 7.65781- 3 7.02614- 3 5.00000+ 0 6.00000+ 0 1.81191- 1 7.04718- 3 5.00000+ 0 8.00000+ 0 4.90291- 3 7.86341- 3 5.00000+ 0 1.00000+ 1 1.85044- 3 7.90417- 3 5.00000+ 0 1.10000+ 1 1.99826- 2 7.90681- 3 5.00000+ 0 1.30000+ 1 3.89071- 4 7.97458- 3 5.00000+ 0 1.40000+ 1 1.43235- 3 7.97487- 3 5.00000+ 0 1.60000+ 1 1.62596- 4 7.97756- 3 6.00000+ 0 6.00000+ 0 1.00194- 1 7.06822- 3 6.00000+ 0 8.00000+ 0 8.76108- 3 7.88445- 3 6.00000+ 0 1.00000+ 1 2.00201- 2 7.92521- 3 6.00000+ 0 1.10000+ 1 2.24684- 2 7.92785- 3 6.00000+ 0 1.30000+ 1 1.77886- 3 7.99562- 3 6.00000+ 0 1.40000+ 1 1.73429- 3 7.99591- 3 6.00000+ 0 1.60000+ 1 2.92272- 4 7.99860- 3 8.00000+ 0 8.00000+ 0 7.62703- 4 8.70068- 3 8.00000+ 0 1.00000+ 1 7.04830- 4 8.74144- 3 8.00000+ 0 1.10000+ 1 1.24470- 3 8.74408- 3 8.00000+ 0 1.30000+ 1 3.21362- 5 8.81185- 3 8.00000+ 0 1.40000+ 1 4.49905- 5 8.81214- 3 8.00000+ 0 1.60000+ 1 5.14183- 5 8.81483- 3 1.00000+ 1 1.00000+ 1 1.20557- 4 8.78220- 3 1.00000+ 1 1.10000+ 1 2.52309- 3 8.78484- 3 1.00000+ 1 1.30000+ 1 3.72645- 5 8.85261- 3 1.00000+ 1 1.40000+ 1 1.46859- 4 8.85290- 3 1.00000+ 1 1.60000+ 1 2.41126- 5 8.85559- 3 1.10000+ 1 1.10000+ 1 1.52046- 3 8.78748- 3 1.10000+ 1 1.30000+ 1 1.96192- 4 8.85525- 3 1.10000+ 1 1.40000+ 1 1.86855- 4 8.85554- 3 1.10000+ 1 1.60000+ 1 4.43756- 5 8.85823- 3 1.30000+ 1 1.40000+ 1 1.10707- 5 8.92331- 3 1.30000+ 1 1.60000+ 1 2.21424- 6 8.92600- 3 1.40000+ 1 1.40000+ 1 4.12417- 6 8.92360- 3 1.40000+ 1 1.60000+ 1 4.12417- 6 8.92629- 3 1 29000 0 7 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.91460- 5 1.27570- 4 6.00000+ 0 8.71820- 5 1.48610- 4 1.00000+ 1 6.88360- 4 1.00560- 3 1.10000+ 1 1.06520- 3 1.00824- 3 1.30000+ 1 2.60100- 6 1.07601- 3 1.40000+ 1 3.42210- 6 1.07630- 3 1 29000 0 9 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.00000+ 1 4.78361- 2 4.70700- 5 5.00000+ 0 1.10000+ 1 6.92207- 2 4.97100- 5 5.00000+ 0 1.30000+ 1 4.64820- 2 1.17480- 4 5.00000+ 0 1.40000+ 1 7.46387- 2 1.17770- 4 5.00000+ 0 1.60000+ 1 1.99240- 3 1.20460- 4 6.00000+ 0 8.00000+ 0 1.07359- 1 2.73500- 5 6.00000+ 0 1.00000+ 1 5.88771- 2 6.81100- 5 6.00000+ 0 1.10000+ 1 1.25939- 1 7.07500- 5 6.00000+ 0 1.30000+ 1 1.14171- 1 1.38520- 4 6.00000+ 0 1.40000+ 1 1.62177- 1 1.38810- 4 6.00000+ 0 1.60000+ 1 3.56746- 3 1.41500- 4 8.00000+ 0 8.00000+ 0 1.12747- 2 8.43580- 4 8.00000+ 0 1.00000+ 1 2.04284- 2 8.84340- 4 8.00000+ 0 1.10000+ 1 3.97086- 2 8.86980- 4 8.00000+ 0 1.30000+ 1 2.10300- 2 9.54750- 4 8.00000+ 0 1.40000+ 1 3.08047- 2 9.55040- 4 8.00000+ 0 1.60000+ 1 6.83622- 4 9.57730- 4 1.00000+ 1 1.00000+ 1 3.03846- 4 9.25100- 4 1.00000+ 1 1.10000+ 1 6.94692- 4 9.27740- 4 1.00000+ 1 1.30000+ 1 3.37886- 4 9.95510- 4 1.00000+ 1 1.40000+ 1 6.64782- 3 9.95800- 4 1.00000+ 1 1.60000+ 1 5.86257- 4 9.98490- 4 1.10000+ 1 1.10000+ 1 1.07698- 3 9.30380- 4 1.10000+ 1 1.30000+ 1 7.13355- 3 9.98150- 4 1.10000+ 1 1.40000+ 1 5.09460- 3 9.98440- 4 1.10000+ 1 1.60000+ 1 1.18286- 3 1.00113- 3 1.30000+ 1 1.30000+ 1 5.63180- 4 1.06592- 3 1.30000+ 1 1.40000+ 1 2.86944- 2 1.06621- 3 1.30000+ 1 1.60000+ 1 5.17393- 4 1.06890- 3 1.40000+ 1 1.40000+ 1 8.31045- 3 1.06650- 3 1.40000+ 1 1.60000+ 1 8.00352- 4 1.06919- 3 1 29000 0 7 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 5.18584-10 2.10400- 5 8.00000+ 0 4.65603- 3 8.37270- 4 1.10000+ 1 1.62541- 5 8.80670- 4 1.30000+ 1 4.42993- 3 9.48440- 4 1.60000+ 1 1.20891- 4 9.51420- 4 1 29000 0 9 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 8.94776- 3 1.39300- 5 8.00000+ 0 8.00000+ 0 3.62933- 3 7.16010- 4 8.00000+ 0 1.00000+ 1 6.68802- 2 7.56770- 4 8.00000+ 0 1.10000+ 1 5.61858- 3 7.59410- 4 8.00000+ 0 1.30000+ 1 3.11852- 3 8.27180- 4 8.00000+ 0 1.40000+ 1 6.83737- 3 8.27470- 4 8.00000+ 0 1.60000+ 1 2.10585- 4 8.30160- 4 1.00000+ 1 1.00000+ 1 5.77499- 2 7.97530- 4 1.00000+ 1 1.10000+ 1 1.98084- 1 8.00170- 4 1.00000+ 1 1.30000+ 1 6.92466- 2 8.67940- 4 1.00000+ 1 1.40000+ 1 1.31715- 1 8.68230- 4 1.00000+ 1 1.60000+ 1 2.26721- 3 8.70920- 4 1.10000+ 1 1.10000+ 1 5.52451- 3 8.02810- 4 1.10000+ 1 1.30000+ 1 8.26916- 2 8.70580- 4 1.10000+ 1 1.40000+ 1 1.22043- 2 8.70870- 4 1.10000+ 1 1.60000+ 1 1.70255- 4 8.73560- 4 1.30000+ 1 1.30000+ 1 5.84943- 2 9.38350- 4 1.30000+ 1 1.40000+ 1 2.65016- 1 9.38640- 4 1.30000+ 1 1.60000+ 1 1.12427- 4 9.41330- 4 1.40000+ 1 1.40000+ 1 1.20386- 2 9.38930- 4 1.40000+ 1 1.60000+ 1 2.19538- 4 9.41620- 4 1 29000 0 7 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.33818- 3 8.16230- 4 1.00000+ 1 8.20307- 6 8.56990- 4 1.10000+ 1 7.94827- 6 8.59630- 4 1.30000+ 1 3.70919- 4 9.27400- 4 1.40000+ 1 3.97209- 3 9.27690- 4 1.60000+ 1 1.06190- 4 9.30380- 4 1 29000 0 9 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 3.73446- 3 6.94970- 4 8.00000+ 0 1.00000+ 1 2.60360- 3 7.35730- 4 8.00000+ 0 1.10000+ 1 6.94080- 2 7.38370- 4 8.00000+ 0 1.30000+ 1 4.66601- 3 8.06140- 4 8.00000+ 0 1.40000+ 1 5.73035- 3 8.06430- 4 8.00000+ 0 1.60000+ 1 2.17322- 4 8.09120- 4 1.00000+ 1 1.00000+ 1 9.75756- 4 7.76490- 4 1.00000+ 1 1.10000+ 1 1.05475- 1 7.79130- 4 1.00000+ 1 1.30000+ 1 4.55055- 3 8.46900- 4 1.00000+ 1 1.40000+ 1 4.33586- 2 8.47190- 4 1.00000+ 1 1.60000+ 1 7.98344- 5 8.49880- 4 1.10000+ 1 1.10000+ 1 1.54845- 1 7.81770- 4 1.10000+ 1 1.30000+ 1 1.01637- 1 8.49540- 4 1.10000+ 1 1.40000+ 1 1.52475- 1 8.49830- 4 1.10000+ 1 1.60000+ 1 2.34172- 3 8.52520- 4 1.30000+ 1 1.30000+ 1 9.71767- 3 9.17310- 4 1.30000+ 1 1.40000+ 1 1.96561- 1 9.17600- 4 1.30000+ 1 1.60000+ 1 1.50793- 4 9.20290- 4 1.40000+ 1 1.40000+ 1 1.32479- 1 9.17890- 4 1.40000+ 1 1.60000+ 1 1.90728- 4 9.20580- 4 1 29000 0 7 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 8.17583- 6 4.07600- 5 1.10000+ 1 2.00565- 5 4.34000- 5 1 29000 0 9 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 7.90941- 2 3.06700- 5 1.00000+ 1 1.40000+ 1 1.74485- 1 3.09600- 5 1.00000+ 1 1.60000+ 1 1.88508- 2 3.36500- 5 1.10000+ 1 1.30000+ 1 2.48773- 1 3.33100- 5 1.10000+ 1 1.40000+ 1 3.08941- 1 3.36000- 5 1.10000+ 1 1.60000+ 1 3.49061- 2 3.62900- 5 1.30000+ 1 1.30000+ 1 3.64835- 3 1.01080- 4 1.30000+ 1 1.40000+ 1 5.39118- 2 1.01370- 4 1.30000+ 1 1.60000+ 1 1.58988- 2 1.04060- 4 1.40000+ 1 1.40000+ 1 2.70922- 2 1.01660- 4 1.40000+ 1 1.60000+ 1 3.43707- 2 1.04350- 4 1 29000 0 7 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.91500- 5 7.04100- 5 1.60000+ 1 2.33800- 6 7.33900- 5 1 29000 0 9 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.53632- 1 6.03200- 5 1.30000+ 1 1.40000+ 1 7.98786- 1 6.06100- 5 1.30000+ 1 1.60000+ 1 1.91501- 2 6.33000- 5 1.40000+ 1 1.40000+ 1 2.43355- 2 6.09000- 5 1.40000+ 1 1.60000+ 1 4.07449- 3 6.35900- 5 1 29000 0 7 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.74600- 6 6.77700- 5 1.40000+ 1 1.59670- 5 6.80600- 5 1.60000+ 1 9.55071- 7 7.07500- 5 1 29000 0 9 6.35460+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 2.35524- 2 5.76800- 5 1.30000+ 1 1.40000+ 1 5.54813- 1 5.79700- 5 1.30000+ 1 1.60000+ 1 4.32518- 3 6.06600- 5 1.40000+ 1 1.40000+ 1 3.96490- 1 5.82600- 5 1.40000+ 1 1.60000+ 1 2.08001- 2 6.09500- 5 1 30000 0 0 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1 30000 0 0 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.62240- 3 3.00000+ 0 1.18440- 3 5.00000+ 0 1.05050- 3 6.00000+ 0 1.02600- 3 8.00000+ 0 1.37430- 4 1.00000+ 1 9.37400- 5 1.10000+ 1 9.05900- 5 1.30000+ 1 1.68500- 5 1.40000+ 1 1.64600- 5 1.60000+ 1 8.61000- 6 1 30000 0 0 6.53800+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.23420- 2 3.00000+ 0 2.38770- 3 5.00000+ 0 2.37730- 3 6.00000+ 0 2.28530- 3 8.00000+ 0 5.31680- 4 1.00000+ 1 4.82310- 4 1.10000+ 1 4.64630- 4 1.30000+ 1 3.28830- 4 1.40000+ 1 3.24630- 4 1.60000+ 1 4.16900- 5 1 30000 0 0 6.53800+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.65450-10 3.00000+ 0 1.18780- 9 5.00000+ 0 1.02640- 9 6.00000+ 0 1.04460- 9 8.00000+ 0 3.56580- 9 1.00000+ 1 3.67550- 9 1.10000+ 1 3.73030- 9 1.30000+ 1 4.47560- 9 1.40000+ 1 4.51030- 9 1.60000+ 1 1.39440- 8 1 30000 0 0 6.53800+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.46650- 7 3.00000+ 0 5.49400- 9 5.00000+ 0 7.14980- 9 6.00000+ 0 7.00640- 9 8.00000+ 0 3.14430-11 1.00000+ 1 1.09700-10 1.10000+ 1 1.01270-10 1 30000 0 0 6.53800+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.13220- 7 3.00000+ 0 9.49630- 6 5.00000+ 0 6.65200- 7 6.00000+ 0 6.77430- 7 8.00000+ 0 4.75790- 6 1.00000+ 1 3.77030- 6 1.10000+ 1 3.61870- 6 1 30000 0 0 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.80660- 5 3.00000+ 0 7.23480- 5 5.00000+ 0 4.98579- 5 6.00000+ 0 4.93269- 5 8.00000+ 0 4.51779- 5 1.00000+ 1 3.29445- 5 1.10000+ 1 3.26991- 5 1.30000+ 1 1.68500- 5 1.40000+ 1 1.64600- 5 1.60000+ 1 8.61000- 6 1 30000 0 7 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.80132- 1 3.00000+ 0 1.05090- 2 5.00000+ 0 1.08624- 2 6.00000+ 0 1.02674- 2 8.00000+ 0 5.94232- 5 1.00000+ 1 3.26841- 5 1.10000+ 1 2.85414- 5 1 30000 0 7 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.06321- 3 3.00000+ 0 1.02616- 5 5.00000+ 0 1.06257- 5 6.00000+ 0 9.81007- 6 8.00000+ 0 3.48233- 9 1.00000+ 1 2.54502- 9 1.10000+ 1 2.12906- 9 1 30000 0 9 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.77063+ 0 3.00000+ 0 3.43641+ 0 5.00000+ 0 2.04035+ 0 6.00000+ 0 2.00997+ 0 8.00000+ 0 1.84673+ 0 1.00000+ 1 9.99967- 1 1.10000+ 1 9.99971- 1 1 30000 0 9 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.48112- 3 3.00000+ 0 1.10179- 3 5.00000+ 0 9.90016- 4 6.00000+ 0 9.66863- 4 8.00000+ 0 9.22486- 5 1.00000+ 1 6.07930- 5 1.10000+ 1 5.78887- 5 1 30000 0 7 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.40620- 1 8.57190- 3 6.00000+ 0 2.73809- 1 8.59640- 3 1.00000+ 1 1.73890- 2 9.52866- 3 1.10000+ 1 3.39969- 2 9.53181- 3 1.30000+ 1 2.35079- 5 9.60555- 3 1.40000+ 1 3.39889- 5 9.60594- 3 1 30000 0 9 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.67202- 2 7.25360- 3 3.00000+ 0 5.00000+ 0 4.08263- 2 7.38750- 3 3.00000+ 0 6.00000+ 0 7.19520- 2 7.41200- 3 3.00000+ 0 8.00000+ 0 9.96991- 3 8.30057- 3 3.00000+ 0 1.00000+ 1 5.38738- 3 8.34426- 3 3.00000+ 0 1.10000+ 1 9.40412- 3 8.34741- 3 3.00000+ 0 1.30000+ 1 2.96221- 4 8.42115- 3 3.00000+ 0 1.40000+ 1 3.99711- 4 8.42154- 3 3.00000+ 0 1.60000+ 1 7.63732- 4 8.42939- 3 5.00000+ 0 5.00000+ 0 7.18740- 3 7.52140- 3 5.00000+ 0 6.00000+ 0 1.69423- 1 7.54590- 3 5.00000+ 0 8.00000+ 0 4.68792- 3 8.43447- 3 5.00000+ 0 1.00000+ 1 1.77372- 3 8.47816- 3 5.00000+ 0 1.10000+ 1 1.90649- 2 8.48131- 3 5.00000+ 0 1.30000+ 1 4.08651- 4 8.55505- 3 5.00000+ 0 1.40000+ 1 1.50252- 3 8.55544- 3 5.00000+ 0 1.60000+ 1 3.51539- 4 8.56329- 3 6.00000+ 0 6.00000+ 0 9.33923- 2 7.57040- 3 6.00000+ 0 8.00000+ 0 8.29767- 3 8.45897- 3 6.00000+ 0 1.00000+ 1 1.90934- 2 8.50266- 3 6.00000+ 0 1.10000+ 1 2.13838- 2 8.50581- 3 6.00000+ 0 1.30000+ 1 1.86474- 3 8.57955- 3 6.00000+ 0 1.40000+ 1 1.81482- 3 8.57994- 3 6.00000+ 0 1.60000+ 1 6.22793- 4 8.58779- 3 8.00000+ 0 8.00000+ 0 7.23926- 4 9.34754- 3 8.00000+ 0 1.00000+ 1 6.75507- 4 9.39123- 3 8.00000+ 0 1.10000+ 1 1.18265- 3 9.39438- 3 8.00000+ 0 1.30000+ 1 3.48394- 5 9.46812- 3 8.00000+ 0 1.40000+ 1 4.64528- 5 9.46851- 3 8.00000+ 0 1.60000+ 1 1.10321- 4 9.47636- 3 1.00000+ 1 1.00000+ 1 1.17498- 4 9.43492- 3 1.00000+ 1 1.10000+ 1 2.41974- 3 9.43807- 3 1.00000+ 1 1.30000+ 1 3.98312- 5 9.51181- 3 1.00000+ 1 1.40000+ 1 1.53346- 4 9.51220- 3 1.00000+ 1 1.60000+ 1 5.17798- 5 9.52005- 3 1.10000+ 1 1.10000+ 1 1.45467- 3 9.44122- 3 1.10000+ 1 1.30000+ 1 2.05688- 4 9.51496- 3 1.10000+ 1 1.40000+ 1 1.95088- 4 9.51535- 3 1.10000+ 1 1.60000+ 1 9.75440- 5 9.52320- 3 1.30000+ 1 1.40000+ 1 1.34903- 5 9.58909- 3 1.30000+ 1 1.60000+ 1 2.24862- 6 9.59694- 3 1.40000+ 1 1.40000+ 1 5.37849- 6 9.58948- 3 1.40000+ 1 1.60000+ 1 5.37849- 6 9.59733- 3 1.60000+ 1 1.60000+ 1 3.56899- 6 9.60518- 3 1 30000 0 7 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.74001- 5 1.33900- 4 6.00000+ 0 8.30426- 5 1.58400- 4 1.00000+ 1 7.38615- 4 1.09066- 3 1.10000+ 1 1.17501- 3 1.09381- 3 1.30000+ 1 2.89562- 6 1.16755- 3 1.40000+ 1 3.91643- 6 1.16794- 3 1 30000 0 9 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.00000+ 1 4.72680- 2 4.01600- 5 5.00000+ 0 1.10000+ 1 6.80998- 2 4.33100- 5 5.00000+ 0 1.30000+ 1 4.63817- 2 1.17050- 4 5.00000+ 0 1.40000+ 1 7.44682- 2 1.17440- 4 5.00000+ 0 1.60000+ 1 4.45393- 3 1.25290- 4 6.00000+ 0 8.00000+ 0 9.85971- 2 2.09700- 5 6.00000+ 0 1.00000+ 1 5.79122- 2 6.46600- 5 6.00000+ 0 1.10000+ 1 1.23579- 1 6.78100- 5 6.00000+ 0 1.30000+ 1 1.16279- 1 1.41550- 4 6.00000+ 0 1.40000+ 1 1.65355- 1 1.41940- 4 6.00000+ 0 1.60000+ 1 7.83086- 3 1.49790- 4 8.00000+ 0 8.00000+ 0 1.04028- 2 9.09540- 4 8.00000+ 0 1.00000+ 1 1.90072- 2 9.53230- 4 8.00000+ 0 1.10000+ 1 3.68897- 2 9.56380- 4 8.00000+ 0 1.30000+ 1 2.10136- 2 1.03012- 3 8.00000+ 0 1.40000+ 1 3.07792- 2 1.03051- 3 8.00000+ 0 1.60000+ 1 1.42819- 3 1.03836- 3 1.00000+ 1 1.00000+ 1 2.57527- 4 9.96920- 4 1.00000+ 1 1.10000+ 1 6.47584- 4 1.00007- 3 1.00000+ 1 1.30000+ 1 3.24333- 4 1.07381- 3 1.00000+ 1 1.40000+ 1 6.39833- 3 1.07420- 3 1.00000+ 1 1.60000+ 1 1.16589- 3 1.08205- 3 1.10000+ 1 1.10000+ 1 9.60655- 4 1.00322- 3 1.10000+ 1 1.30000+ 1 6.84507- 3 1.07696- 3 1.10000+ 1 1.40000+ 1 4.87849- 3 1.07735- 3 1.10000+ 1 1.60000+ 1 2.36888- 3 1.08520- 3 1.30000+ 1 1.30000+ 1 6.36840- 4 1.15070- 3 1.30000+ 1 1.40000+ 1 3.17905- 2 1.15109- 3 1.30000+ 1 1.60000+ 1 1.20887- 3 1.15894- 3 1.40000+ 1 1.40000+ 1 8.89946- 3 1.15148- 3 1.40000+ 1 1.60000+ 1 1.80261- 3 1.15933- 3 1.60000+ 1 1.60000+ 1 4.78573- 5 1.16718- 3 1 30000 0 7 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 6.48668-10 2.45000- 5 8.00000+ 0 4.61199- 3 9.13070- 4 1.10000+ 1 1.80819- 5 9.59910- 4 1.30000+ 1 5.87348- 3 1.03365- 3 1.60000+ 1 1.30420- 4 1.04189- 3 1 30000 0 9 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.91549- 2 1.58900- 5 8.00000+ 0 8.00000+ 0 3.29825- 3 7.75640- 4 8.00000+ 0 1.00000+ 1 6.14430- 2 8.19330- 4 8.00000+ 0 1.10000+ 1 5.22423- 3 8.22480- 4 8.00000+ 0 1.30000+ 1 2.91704- 3 8.96220- 4 8.00000+ 0 1.40000+ 1 6.72092- 3 8.96610- 4 8.00000+ 0 1.60000+ 1 4.37367- 4 9.04460- 4 1.00000+ 1 1.00000+ 1 5.36229- 2 8.63020- 4 1.00000+ 1 1.10000+ 1 1.83350- 1 8.66170- 4 1.00000+ 1 1.30000+ 1 6.88269- 2 9.39910- 4 1.00000+ 1 1.40000+ 1 1.30427- 1 9.40300- 4 1.00000+ 1 1.60000+ 1 4.72271- 3 9.48150- 4 1.10000+ 1 1.10000+ 1 5.11146- 3 8.69320- 4 1.10000+ 1 1.30000+ 1 8.27844- 2 9.43060- 4 1.10000+ 1 1.40000+ 1 1.21167- 2 9.43450- 4 1.10000+ 1 1.60000+ 1 3.57096- 4 9.51300- 4 1.30000+ 1 1.30000+ 1 6.07200- 2 1.01680- 3 1.30000+ 1 1.40000+ 1 2.74684- 1 1.01719- 3 1.30000+ 1 1.60000+ 1 2.34621- 4 1.02504- 3 1.40000+ 1 1.40000+ 1 1.27114- 2 1.01758- 3 1.40000+ 1 1.60000+ 1 4.85515- 4 1.02543- 3 1.60000+ 1 1.60000+ 1 1.60500- 5 1.03328- 3 1 30000 0 7 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.34963- 3 8.88570- 4 1.00000+ 1 9.21506- 6 9.32260- 4 1.10000+ 1 8.90995- 6 9.35410- 4 1.30000+ 1 4.96303- 4 1.00915- 3 1.40000+ 1 5.25973- 3 1.00954- 3 1.60000+ 1 1.13281- 4 1.01739- 3 1 30000 0 9 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 3.41111- 3 7.51140- 4 8.00000+ 0 1.00000+ 1 2.40931- 3 7.94830- 4 8.00000+ 0 1.10000+ 1 6.38932- 2 7.97980- 4 8.00000+ 0 1.30000+ 1 4.57611- 3 8.71720- 4 8.00000+ 0 1.40000+ 1 5.48252- 3 8.72110- 4 8.00000+ 0 1.60000+ 1 4.49251- 4 8.79960- 4 1.00000+ 1 1.00000+ 1 9.06422- 4 8.38520- 4 1.00000+ 1 1.10000+ 1 9.79730- 2 8.41670- 4 1.00000+ 1 1.30000+ 1 4.58386- 3 9.15410- 4 1.00000+ 1 1.40000+ 1 4.34646- 2 9.15800- 4 1.00000+ 1 1.60000+ 1 1.62995- 4 9.23650- 4 1.10000+ 1 1.10000+ 1 1.43650- 1 8.44820- 4 1.10000+ 1 1.30000+ 1 1.01080- 1 9.18560- 4 1.10000+ 1 1.40000+ 1 1.52200- 1 9.18950- 4 1.10000+ 1 1.60000+ 1 4.88211- 3 9.26800- 4 1.30000+ 1 1.30000+ 1 1.03408- 2 9.92300- 4 1.30000+ 1 1.40000+ 1 2.08677- 1 9.92690- 4 1.30000+ 1 1.60000+ 1 3.33954- 4 1.00054- 3 1.40000+ 1 1.40000+ 1 1.40861- 1 9.93080- 4 1.40000+ 1 1.60000+ 1 4.09504- 4 1.00093- 3 1.60000+ 1 1.60000+ 1 1.59031- 5 1.00878- 3 1 30000 0 7 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 9.74547- 6 4.36900- 5 1.10000+ 1 2.44108- 5 4.68400- 5 1 30000 0 9 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 7.17935- 2 2.68400- 5 1.00000+ 1 1.40000+ 1 1.47584- 1 2.72300- 5 1.00000+ 1 1.60000+ 1 4.57220- 2 3.50800- 5 1.10000+ 1 1.30000+ 1 2.16658- 1 2.99900- 5 1.10000+ 1 1.40000+ 1 2.80618- 1 3.03800- 5 1.10000+ 1 1.60000+ 1 8.43840- 2 3.82300- 5 1.30000+ 1 1.30000+ 1 4.12596- 3 1.03730- 4 1.30000+ 1 1.40000+ 1 4.48130- 2 1.04120- 4 1.30000+ 1 1.60000+ 1 3.32219- 2 1.11970- 4 1.40000+ 1 1.40000+ 1 1.80365- 2 1.04510- 4 1.40000+ 1 1.60000+ 1 5.22844- 2 1.12360- 4 1.60000+ 1 1.60000+ 1 7.24709- 4 1.20210- 4 1 30000 0 7 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.88079- 5 7.68900- 5 1.60000+ 1 3.87618- 6 8.51300- 5 1 30000 0 9 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.49923- 1 6.00400- 5 1.30000+ 1 1.40000+ 1 7.74954- 1 6.04300- 5 1.30000+ 1 1.60000+ 1 4.38691- 2 6.82800- 5 1.40000+ 1 1.40000+ 1 2.27158- 2 6.08200- 5 1.40000+ 1 1.60000+ 1 8.49506- 3 6.86700- 5 1.60000+ 1 1.60000+ 1 1.08770- 5 7.65200- 5 1 30000 0 7 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.62310- 6 7.37400- 5 1.40000+ 1 2.40950- 5 7.41300- 5 1.60000+ 1 1.82330- 6 8.19800- 5 1 30000 0 9 6.53800+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 2.36088- 2 5.68900- 5 1.30000+ 1 1.40000+ 1 5.37047- 1 5.72800- 5 1.30000+ 1 1.60000+ 1 9.89369- 3 6.51300- 5 1.40000+ 1 1.40000+ 1 3.81722- 1 5.76700- 5 1.40000+ 1 1.60000+ 1 4.76979- 2 6.55200- 5 1.60000+ 1 1.60000+ 1 1.48540- 6 7.33700- 5 1 31000 0 0 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 3.30000- 1 1.90000+ 1 6.70000- 1 1 31000 0 0 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.03310- 2 3.00000+ 0 1.29070- 3 5.00000+ 0 1.15040- 3 6.00000+ 0 1.12200- 3 8.00000+ 0 1.57750- 4 1.00000+ 1 1.11010- 4 1.10000+ 1 1.07280- 4 1.30000+ 1 2.73700- 5 1.40000+ 1 2.68700- 5 1.60000+ 1 1.16900- 5 1.80000+ 1 5.00000- 6 1.90000+ 1 4.88000- 6 1 31000 0 0 6.97200+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.32220- 2 3.00000+ 0 2.57790- 3 5.00000+ 0 2.56850- 3 6.00000+ 0 2.46250- 3 8.00000+ 0 5.82900- 4 1.00000+ 1 5.32720- 4 1.10000+ 1 5.12190- 4 1.30000+ 1 3.82070- 4 1.40000+ 1 3.77320- 4 1.60000+ 1 5.97300- 5 1.80000+ 1 2.74800- 5 1.90000+ 1 2.59100- 5 1 31000 0 0 6.97200+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.56450-10 3.00000+ 0 1.14420- 9 5.00000+ 0 9.87020-10 6.00000+ 0 1.00560- 9 8.00000+ 0 3.41060- 9 1.00000+ 1 3.49590- 9 1.10000+ 1 3.55030- 9 1.30000+ 1 4.03920- 9 1.40000+ 1 4.06630- 9 1.60000+ 1 1.19210- 8 1.80000+ 1 1.77400- 8 1.90000+ 1 1.81610- 8 1 31000 0 0 6.97200+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.63840- 7 3.00000+ 0 6.64890- 9 5.00000+ 0 9.11830- 9 6.00000+ 0 8.93490- 9 8.00000+ 0 3.69570-11 1.00000+ 1 1.28640-10 1.10000+ 1 1.18000-10 1.30000+ 1 7.64460-14 1 31000 0 0 6.97200+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.31930- 7 3.00000+ 0 8.69970- 6 5.00000+ 0 7.46030- 7 6.00000+ 0 7.52560- 7 8.00000+ 0 4.45700- 6 1.00000+ 1 3.92590- 6 1.10000+ 1 3.71490- 6 1.30000+ 1 1.29660- 8 1 31000 0 0 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.95174- 5 3.00000+ 0 9.21847- 5 5.00000+ 0 6.23345- 5 6.00000+ 0 6.64171- 5 8.00000+ 0 5.85229- 5 1.00000+ 1 3.98540- 5 1.10000+ 1 4.55762- 5 1.30000+ 1 1.56691- 5 1.40000+ 1 2.68700- 5 1.60000+ 1 1.16900- 5 1.80000+ 1 5.00000- 6 1.90000+ 1 4.88000- 6 1 31000 0 7 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.13321- 1 3.00000+ 0 1.19851- 2 5.00000+ 0 1.25450- 2 6.00000+ 0 1.18408- 2 8.00000+ 0 7.71864- 5 1.00000+ 1 4.77458- 5 1.10000+ 1 4.19019- 5 1.30000+ 1 6.07457- 9 1 31000 0 7 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.64927- 3 3.00000+ 0 1.27845- 5 5.00000+ 0 1.34359- 5 6.00000+ 0 1.23619- 5 8.00000+ 0 5.17171- 9 1.00000+ 1 4.08783- 9 1.10000+ 1 3.41765- 9 1.30000+ 1 1.36004-13 1 31000 0 9 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.30151+ 0 3.00000+ 0 4.84384+ 0 5.00000+ 0 3.43851+ 0 6.00000+ 0 2.94334+ 0 8.00000+ 0 2.77514+ 0 1.00000+ 1 2.10805+ 0 1.10000+ 1 1.58132+ 0 1.30000+ 1 1.00000+ 0 1 31000 0 9 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.58221- 3 3.00000+ 0 1.18573- 3 5.00000+ 0 1.07463- 3 6.00000+ 0 1.04322- 3 8.00000+ 0 9.92220- 5 1.00000+ 1 7.11520- 5 1.10000+ 1 6.17004- 5 1.30000+ 1 1.17009- 5 1 31000 0 7 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.49780- 1 9.18060- 3 6.00000+ 0 2.91200- 1 9.20900- 3 1.00000+ 1 1.89300- 2 1.02200- 2 1.10000+ 1 3.69890- 2 1.02237- 2 1.30000+ 1 3.00890- 5 1.03036- 2 1.40000+ 1 4.34600- 5 1.03041- 2 1.80000+ 1 1.07990- 4 1.03260- 2 1.90000+ 1 2.05980- 4 1.03261- 2 1 31000 0 9 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.45979- 2 7.74960- 3 3.00000+ 0 5.00000+ 0 3.85221- 2 7.88990- 3 3.00000+ 0 6.00000+ 0 6.72279- 2 7.91830- 3 3.00000+ 0 8.00000+ 0 9.53455- 3 8.88255- 3 3.00000+ 0 1.00000+ 1 5.20323- 3 8.92929- 3 3.00000+ 0 1.10000+ 1 8.99641- 3 8.93302- 3 3.00000+ 0 1.30000+ 1 3.08691- 4 9.01293- 3 3.00000+ 0 1.40000+ 1 4.13770- 4 9.01343- 3 3.00000+ 0 1.60000+ 1 8.40701- 4 9.02861- 3 3.00000+ 0 1.80000+ 1 4.92582- 5 9.03530- 3 3.00000+ 0 1.90000+ 1 8.53860- 5 9.03542- 3 5.00000+ 0 5.00000+ 0 6.72597- 3 8.03020- 3 5.00000+ 0 6.00000+ 0 1.57964- 1 8.05860- 3 5.00000+ 0 8.00000+ 0 4.48097- 3 9.02285- 3 5.00000+ 0 1.00000+ 1 1.69620- 3 9.06959- 3 5.00000+ 0 1.10000+ 1 1.81510- 2 9.07332- 3 5.00000+ 0 1.30000+ 1 4.23630- 4 9.15323- 3 5.00000+ 0 1.40000+ 1 1.55499- 3 9.15373- 3 5.00000+ 0 1.60000+ 1 3.87498- 4 9.16891- 3 5.00000+ 0 1.80000+ 1 1.64196- 5 9.17560- 3 5.00000+ 0 1.90000+ 1 1.69118- 4 9.17572- 3 6.00000+ 0 6.00000+ 0 8.67940- 2 8.08700- 3 6.00000+ 0 8.00000+ 0 7.85312- 3 9.05125- 3 6.00000+ 0 1.00000+ 1 1.81636- 2 9.09799- 3 6.00000+ 0 1.10000+ 1 2.03022- 2 9.10172- 3 6.00000+ 0 1.30000+ 1 1.92595- 3 9.18163- 3 6.00000+ 0 1.40000+ 1 1.87335- 3 9.18213- 3 6.00000+ 0 1.60000+ 1 6.78086- 4 9.19731- 3 6.00000+ 0 1.80000+ 1 1.69112- 4 9.20400- 3 6.00000+ 0 1.90000+ 1 1.90457- 4 9.20412- 3 8.00000+ 0 8.00000+ 0 6.95906- 4 1.00155- 2 8.00000+ 0 1.00000+ 1 6.53621- 4 1.00622- 2 8.00000+ 0 1.10000+ 1 1.13292- 3 1.00660- 2 8.00000+ 0 1.30000+ 1 3.52373- 5 1.01459- 2 8.00000+ 0 1.40000+ 1 4.75700- 5 1.01464- 2 8.00000+ 0 1.60000+ 1 1.23327- 4 1.01616- 2 8.00000+ 0 1.80000+ 1 7.04734- 6 1.01682- 2 8.00000+ 0 1.90000+ 1 1.05709- 5 1.01684- 2 1.00000+ 1 1.00000+ 1 1.12059- 4 1.01090- 2 1.00000+ 1 1.10000+ 1 2.32068- 3 1.01127- 2 1.00000+ 1 1.30000+ 1 4.15702- 5 1.01926- 2 1.00000+ 1 1.40000+ 1 1.60858- 4 1.01931- 2 1.00000+ 1 1.60000+ 1 5.78341- 5 1.02083- 2 1.00000+ 1 1.80000+ 1 1.80739- 6 1.02150- 2 1.00000+ 1 1.90000+ 1 2.16884- 5 1.02151- 2 1.10000+ 1 1.10000+ 1 1.38171- 3 1.01164- 2 1.10000+ 1 1.30000+ 1 2.11823- 4 1.01963- 2 1.10000+ 1 1.40000+ 1 2.02285- 4 1.01968- 2 1.10000+ 1 1.60000+ 1 1.06865- 4 1.02120- 2 1.10000+ 1 1.80000+ 1 2.28996- 5 1.02187- 2 1.10000+ 1 1.90000+ 1 2.67161- 5 1.02188- 2 1.30000+ 1 1.40000+ 1 1.38924- 5 1.02768- 2 1.30000+ 1 1.60000+ 1 3.47307- 6 1.02919- 2 1.30000+ 1 1.90000+ 1 1.73653- 6 1.02987- 2 1.40000+ 1 1.40000+ 1 4.62367- 6 1.02773- 2 1.40000+ 1 1.60000+ 1 4.62367- 6 1.02924- 2 1.40000+ 1 1.80000+ 1 2.31183- 6 1.02991- 2 1.40000+ 1 1.90000+ 1 2.31183- 6 1.02992- 2 1.60000+ 1 1.60000+ 1 4.92585- 6 1.03076- 2 1.60000+ 1 1.90000+ 1 1.64195- 6 1.03144- 2 1 31000 0 7 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60641- 5 1.40300- 4 6.00000+ 0 8.07564- 5 1.68700- 4 1.00000+ 1 7.96764- 4 1.17969- 3 1.10000+ 1 1.28631- 3 1.18342- 3 1.30000+ 1 3.25052- 6 1.26333- 3 1.40000+ 1 4.51872- 6 1.26383- 3 1.80000+ 1 4.92423- 6 1.28570- 3 1.90000+ 1 8.79855- 6 1.28582- 3 1 31000 0 9 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.00000+ 1 5.29575- 2 2.92900- 5 5.00000+ 0 1.10000+ 1 7.55439- 2 3.30200- 5 5.00000+ 0 1.30000+ 1 5.20910- 2 1.12930- 4 5.00000+ 0 1.40000+ 1 8.36099- 2 1.13430- 4 5.00000+ 0 1.60000+ 1 5.72834- 3 1.28610- 4 5.00000+ 0 1.80000+ 1 4.37764- 4 1.35300- 4 5.00000+ 0 1.90000+ 1 6.13082- 4 1.35420- 4 6.00000+ 0 1.00000+ 1 6.50676- 2 5.76900- 5 6.00000+ 0 1.10000+ 1 1.38564- 1 6.14200- 5 6.00000+ 0 1.30000+ 1 1.32628- 1 1.41330- 4 6.00000+ 0 1.40000+ 1 1.88749- 1 1.41830- 4 6.00000+ 0 1.60000+ 1 1.00441- 2 1.57010- 4 6.00000+ 0 1.80000+ 1 5.23006- 4 1.63700- 4 6.00000+ 0 1.90000+ 1 1.13803- 3 1.63820- 4 8.00000+ 0 8.00000+ 0 9.82353- 3 9.75200- 4 8.00000+ 0 1.00000+ 1 1.81042- 2 1.02194- 3 8.00000+ 0 1.10000+ 1 3.50905- 2 1.02567- 3 8.00000+ 0 1.30000+ 1 2.12129- 2 1.10558- 3 8.00000+ 0 1.40000+ 1 3.10622- 2 1.10608- 3 8.00000+ 0 1.60000+ 1 1.55445- 3 1.12126- 3 8.00000+ 0 1.80000+ 1 1.71192- 4 1.12795- 3 8.00000+ 0 1.90000+ 1 3.31623- 4 1.12807- 3 1.00000+ 1 1.00000+ 1 2.31240- 4 1.06868- 3 1.00000+ 1 1.10000+ 1 6.35426- 4 1.07241- 3 1.00000+ 1 1.30000+ 1 3.27444- 4 1.15232- 3 1.00000+ 1 1.40000+ 1 6.41829- 3 1.15282- 3 1.00000+ 1 1.60000+ 1 1.24753- 3 1.16800- 3 1.00000+ 1 1.80000+ 1 3.88624- 6 1.17469- 3 1.00000+ 1 1.90000+ 1 5.82952- 6 1.17481- 3 1.10000+ 1 1.10000+ 1 9.18776- 4 1.07614- 3 1.10000+ 1 1.30000+ 1 6.93340- 3 1.15605- 3 1.10000+ 1 1.40000+ 1 4.93408- 3 1.15655- 3 1.10000+ 1 1.60000+ 1 2.58799- 3 1.17173- 3 1.10000+ 1 1.80000+ 1 6.23605- 6 1.17842- 3 1.10000+ 1 1.90000+ 1 1.55904- 5 1.17854- 3 1.30000+ 1 1.30000+ 1 7.04343- 4 1.23596- 3 1.30000+ 1 1.40000+ 1 3.44989- 2 1.23646- 3 1.30000+ 1 1.60000+ 1 1.42136- 3 1.25164- 3 1.30000+ 1 1.80000+ 1 3.91282- 6 1.25833- 3 1.30000+ 1 1.90000+ 1 6.06532- 5 1.25845- 3 1.40000+ 1 1.40000+ 1 9.51777- 3 1.23696- 3 1.40000+ 1 1.60000+ 1 2.08258- 3 1.25214- 3 1.40000+ 1 1.80000+ 1 5.86905- 5 1.25883- 3 1.40000+ 1 1.90000+ 1 4.40177- 5 1.25895- 3 1.60000+ 1 1.60000+ 1 6.06529- 5 1.26732- 3 1.60000+ 1 1.80000+ 1 1.17390- 5 1.27401- 3 1.60000+ 1 1.90000+ 1 2.34777- 5 1.27413- 3 1 31000 0 7 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 7.85884-10 2.84000- 5 8.00000+ 0 4.43283- 3 9.92650- 4 1.10000+ 1 1.96281- 5 1.04312- 3 1.30000+ 1 7.53404- 3 1.12303- 3 1.60000+ 1 1.37591- 4 1.13871- 3 1.90000+ 1 1.43451- 8 1.14552- 3 1 31000 0 9 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 2.11572- 2 1.67100- 5 6.00000+ 0 1.80000+ 1 7.57044- 3 2.34000- 5 6.00000+ 0 1.90000+ 1 3.13849- 3 2.35200- 5 8.00000+ 0 8.00000+ 0 3.00867- 3 8.34900- 4 8.00000+ 0 1.00000+ 1 5.67226- 2 8.81640- 4 8.00000+ 0 1.10000+ 1 4.88239- 3 8.85370- 4 8.00000+ 0 1.30000+ 1 2.73488- 3 9.65280- 4 8.00000+ 0 1.40000+ 1 6.56503- 3 9.65780- 4 8.00000+ 0 1.60000+ 1 4.57621- 4 9.80960- 4 8.00000+ 0 1.80000+ 1 4.35992- 4 9.87650- 4 8.00000+ 0 1.90000+ 1 4.32382- 5 9.87770- 4 1.00000+ 1 1.00000+ 1 5.00844- 2 9.28380- 4 1.00000+ 1 1.10000+ 1 1.70741- 1 9.32110- 4 1.00000+ 1 1.30000+ 1 6.80965- 2 1.01202- 3 1.00000+ 1 1.40000+ 1 1.28493- 1 1.01252- 3 1.00000+ 1 1.60000+ 1 5.04804- 3 1.02770- 3 1.00000+ 1 1.80000+ 1 8.64766- 4 1.03439- 3 1.00000+ 1 1.90000+ 1 1.58542- 3 1.03451- 3 1.10000+ 1 1.10000+ 1 4.75256- 3 9.35840- 4 1.10000+ 1 1.30000+ 1 8.24038- 2 1.01575- 3 1.10000+ 1 1.40000+ 1 1.19591- 2 1.01625- 3 1.10000+ 1 1.60000+ 1 3.85531- 4 1.03143- 3 1.10000+ 1 1.80000+ 1 1.34030- 3 1.03812- 3 1.10000+ 1 1.90000+ 1 7.92691- 5 1.03824- 3 1.30000+ 1 1.30000+ 1 6.14695- 2 1.09566- 3 1.30000+ 1 1.40000+ 1 2.77498- 1 1.09616- 3 1.30000+ 1 1.60000+ 1 2.48619- 4 1.11134- 3 1.30000+ 1 1.80000+ 1 5.29668- 4 1.11803- 3 1.30000+ 1 1.90000+ 1 7.45859- 4 1.11815- 3 1.40000+ 1 1.40000+ 1 1.31733- 2 1.09666- 3 1.40000+ 1 1.60000+ 1 5.44082- 4 1.11184- 3 1.40000+ 1 1.80000+ 1 9.54843- 4 1.11853- 3 1.40000+ 1 1.90000+ 1 1.00895- 4 1.11865- 3 1.60000+ 1 1.60000+ 1 1.80161- 5 1.12702- 3 1.60000+ 1 1.80000+ 1 3.96350- 5 1.13371- 3 1.60000+ 1 1.90000+ 1 3.60322- 6 1.13383- 3 1 31000 0 7 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.30092- 3 9.64250- 4 1.00000+ 1 1.00801- 5 1.01099- 3 1.10000+ 1 9.72506- 6 1.01472- 3 1.30000+ 1 6.45924- 4 1.09463- 3 1.40000+ 1 6.71294- 3 1.09513- 3 1.60000+ 1 1.19511- 4 1.11031- 3 1.80000+ 1 6.63504- 9 1.11700- 3 1.90000+ 1 6.24584- 9 1.11712- 3 1 31000 0 9 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 3.12642- 3 8.06500- 4 8.00000+ 0 1.00000+ 1 2.23328- 3 8.53240- 4 8.00000+ 0 1.10000+ 1 5.90606- 2 8.56970- 4 8.00000+ 0 1.30000+ 1 4.46295- 3 9.36880- 4 8.00000+ 0 1.40000+ 1 5.23470- 3 9.37380- 4 8.00000+ 0 1.60000+ 1 4.75223- 4 9.52560- 4 8.00000+ 0 1.80000+ 1 1.78650- 5 9.59250- 4 8.00000+ 0 1.90000+ 1 4.57364- 4 9.59370- 4 1.00000+ 1 1.00000+ 1 8.39666- 4 8.99980- 4 1.00000+ 1 1.10000+ 1 9.14940- 2 9.03710- 4 1.00000+ 1 1.30000+ 1 4.58789- 3 9.83620- 4 1.00000+ 1 1.40000+ 1 4.32982- 2 9.84120- 4 1.00000+ 1 1.60000+ 1 1.75075- 4 9.99300- 4 1.00000+ 1 1.80000+ 1 1.42917- 5 1.00599- 3 1.00000+ 1 1.90000+ 1 7.21766- 4 1.00611- 3 1.10000+ 1 1.10000+ 1 1.33961- 1 9.07440- 4 1.10000+ 1 1.30000+ 1 1.00073- 1 9.87350- 4 1.10000+ 1 1.40000+ 1 1.51140- 1 9.87850- 4 1.10000+ 1 1.60000+ 1 5.22743- 3 1.00303- 3 1.10000+ 1 1.80000+ 1 8.43252- 4 1.00972- 3 1.10000+ 1 1.90000+ 1 2.29744- 3 1.00984- 3 1.30000+ 1 1.30000+ 1 1.08092- 2 1.06726- 3 1.30000+ 1 1.40000+ 1 2.17383- 1 1.06776- 3 1.30000+ 1 1.60000+ 1 3.75170- 4 1.08294- 3 1.30000+ 1 1.80000+ 1 4.28766- 5 1.08963- 3 1.30000+ 1 1.90000+ 1 7.61070- 4 1.08975- 3 1.40000+ 1 1.40000+ 1 1.46983- 1 1.06826- 3 1.40000+ 1 1.60000+ 1 4.53808- 4 1.08344- 3 1.40000+ 1 1.80000+ 1 3.85912- 4 1.09013- 3 1.40000+ 1 1.90000+ 1 1.20775- 3 1.09025- 3 1.60000+ 1 1.60000+ 1 1.78649- 5 1.09862- 3 1.60000+ 1 1.90000+ 1 3.93054- 5 1.10543- 3 1 31000 0 7 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.11790- 5 4.67400- 5 1.10000+ 1 2.86411- 5 5.04700- 5 1.80000+ 1 5.87312- 7 1.52750- 4 1.90000+ 1 9.11763- 7 1.52870- 4 1 31000 0 9 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 6.56603- 2 1.93700- 5 1.00000+ 1 1.40000+ 1 1.13065- 1 1.98700- 5 1.00000+ 1 1.60000+ 1 6.27744- 2 3.50500- 5 1.00000+ 1 1.80000+ 1 3.61775- 3 4.17400- 5 1.00000+ 1 1.90000+ 1 9.47375- 3 4.18600- 5 1.10000+ 1 1.30000+ 1 1.78973- 1 2.31000- 5 1.10000+ 1 1.40000+ 1 2.47560- 1 2.36000- 5 1.10000+ 1 1.60000+ 1 1.15105- 1 3.87800- 5 1.10000+ 1 1.80000+ 1 9.42309- 3 4.54700- 5 1.10000+ 1 1.90000+ 1 1.47304- 2 4.55900- 5 1.30000+ 1 1.30000+ 1 5.46870- 3 1.03010- 4 1.30000+ 1 1.40000+ 1 4.37354- 2 1.03510- 4 1.30000+ 1 1.60000+ 1 4.34554- 2 1.18690- 4 1.30000+ 1 1.80000+ 1 4.89002- 4 1.25380- 4 1.30000+ 1 1.90000+ 1 4.73753- 4 1.25500- 4 1.40000+ 1 1.40000+ 1 1.86055- 2 1.04010- 4 1.40000+ 1 1.60000+ 1 6.44490- 2 1.19190- 4 1.40000+ 1 1.80000+ 1 2.63131- 4 1.25880- 4 1.40000+ 1 1.90000+ 1 1.08666- 3 1.26000- 4 1.60000+ 1 1.60000+ 1 1.16667- 3 1.34370- 4 1.60000+ 1 1.80000+ 1 1.31257- 4 1.41060- 4 1.60000+ 1 1.90000+ 1 2.48483- 4 1.41180- 4 1.80000+ 1 1.90000+ 1 3.05241- 6 1.47870- 4 1 31000 0 7 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.16940- 5 8.36400- 5 1.60000+ 1 6.04500- 6 9.93200- 5 1 31000 0 9 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.47369- 1 5.62700- 5 1.30000+ 1 1.40000+ 1 7.46795- 1 5.67700- 5 1.30000+ 1 1.60000+ 1 5.26607- 2 7.19500- 5 1.30000+ 1 1.80000+ 1 5.62777- 3 7.86400- 5 1.30000+ 1 1.90000+ 1 8.23794- 3 7.87600- 5 1.40000+ 1 1.40000+ 1 1.99171- 2 5.72700- 5 1.40000+ 1 1.60000+ 1 8.79234- 3 7.24500- 5 1.40000+ 1 1.80000+ 1 9.37463- 3 7.91400- 5 1.40000+ 1 1.90000+ 1 8.55954- 4 7.92600- 5 1.60000+ 1 1.60000+ 1 2.77222- 5 8.76300- 5 1.60000+ 1 1.80000+ 1 2.34952- 4 9.43200- 5 1.60000+ 1 1.90000+ 1 1.94062- 5 9.44400- 5 1.80000+ 1 1.90000+ 1 3.95060- 5 1.01130- 4 1 31000 0 7 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 3.77370- 6 7.99100- 5 1.40000+ 1 3.48040- 5 8.04100- 5 1.60000+ 1 3.32070- 6 9.55900- 5 1 31000 0 9 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 2.38055- 2 5.25400- 5 1.30000+ 1 1.40000+ 1 5.13626- 1 5.30400- 5 1.30000+ 1 1.60000+ 1 1.19938- 2 6.82200- 5 1.30000+ 1 1.80000+ 1 6.97769- 4 7.49100- 5 1.30000+ 1 1.90000+ 1 7.42673- 3 7.50300- 5 1.40000+ 1 1.40000+ 1 3.66160- 1 5.35400- 5 1.40000+ 1 1.60000+ 1 5.73632- 2 6.87200- 5 1.40000+ 1 1.80000+ 1 5.01262- 3 7.54100- 5 1.40000+ 1 1.90000+ 1 1.35645- 2 7.55300- 5 1.60000+ 1 1.60000+ 1 1.02079- 5 8.39000- 5 1.60000+ 1 1.80000+ 1 1.09365- 5 9.05900- 5 1.60000+ 1 1.90000+ 1 2.63206- 4 9.07100- 5 1.80000+ 1 1.90000+ 1 2.33310- 5 9.74000- 5 1 31000 0 7 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 5.10640- 9 2.23700- 5 1.90000+ 1 9.68170-10 2.24900- 5 1 31000 0 9 6.97200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.80000+ 1 5.30530- 1 1.06800- 5 1.60000+ 1 1.90000+ 1 3.25290- 1 1.08000- 5 1.80000+ 1 1.90000+ 1 1.44180- 1 1.74900- 5 1 32000 0 0 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 6.70000- 1 1.90000+ 1 1.33000+ 0 1 32000 0 0 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.10670- 2 3.00000+ 0 1.40230- 3 5.00000+ 0 1.25540- 3 6.00000+ 0 1.22280- 3 8.00000+ 0 1.79250- 4 1.00000+ 1 1.29380- 4 1.10000+ 1 1.24980- 4 1.30000+ 1 3.88200- 5 1.40000+ 1 3.81900- 5 1.60000+ 1 1.47800- 5 1.80000+ 1 6.50000- 6 1.90000+ 1 6.29000- 6 1 32000 0 0 7.25900+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.41370- 2 3.00000+ 0 2.77640- 3 5.00000+ 0 2.76810- 3 6.00000+ 0 2.64650- 3 8.00000+ 0 6.38180- 4 1.00000+ 1 5.87320- 4 1.10000+ 1 5.63600- 4 1.30000+ 1 4.37550- 4 1.40000+ 1 4.32100- 4 1.60000+ 1 7.60700- 5 1.80000+ 1 4.21700- 5 1.90000+ 1 3.98800- 5 1 32000 0 0 7.25900+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.48030-10 3.00000+ 0 1.10330- 9 5.00000+ 0 9.50340-10 6.00000+ 0 9.69260-10 8.00000+ 0 3.26540- 9 1.00000+ 1 3.32870- 9 1.10000+ 1 3.38280- 9 1.30000+ 1 3.70440- 9 1.40000+ 1 3.72880- 9 1.60000+ 1 1.07310- 8 1.80000+ 1 1.46430- 8 1.90000+ 1 1.49950- 8 1 32000 0 0 7.25900+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.95330- 7 3.00000+ 0 8.04600- 9 5.00000+ 0 1.14250- 8 6.00000+ 0 1.11860- 8 8.00000+ 0 4.54730-11 1.00000+ 1 1.48390-10 1.10000+ 1 1.35130-10 1.30000+ 1 3.63030-13 1.40000+ 1 3.41350-13 1 32000 0 0 7.25900+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.50970- 7 3.00000+ 0 8.70320- 6 5.00000+ 0 8.30200- 7 6.00000+ 0 8.29020- 7 8.00000+ 0 4.13430- 6 1.00000+ 1 3.99070- 6 1.10000+ 1 3.71400- 6 1.30000+ 1 4.51940- 8 1.40000+ 1 4.35610- 8 1 32000 0 0 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.02661- 4 3.00000+ 0 9.71962- 5 5.00000+ 0 6.93365- 5 6.00000+ 0 6.84544- 5 8.00000+ 0 6.03428- 5 1.00000+ 1 4.65544- 5 1.10000+ 1 4.65738- 5 1.30000+ 1 2.39791- 5 1.40000+ 1 2.45092- 5 1.60000+ 1 1.47800- 5 1.80000+ 1 6.50000- 6 1.90000+ 1 6.29000- 6 1 32000 0 7 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.45730- 1 3.00000+ 0 1.35897- 2 5.00000+ 0 1.43784- 2 6.00000+ 0 1.35472- 2 8.00000+ 0 9.90083- 5 1.00000+ 1 6.74466- 5 1.10000+ 1 5.95045- 5 1.30000+ 1 9.84901- 8 1.40000+ 1 7.94543- 8 1 32000 0 7 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.27916- 3 3.00000+ 0 1.57534- 5 5.00000+ 0 1.67878- 5 6.00000+ 0 1.53917- 5 8.00000+ 0 7.76916- 9 1.00000+ 1 6.31309- 9 1.10000+ 1 5.28567- 9 1.30000+ 1 3.18649-12 1.40000+ 1 2.53459-12 1 32000 0 9 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.48060+ 0 3.00000+ 0 7.02063+ 0 5.00000+ 0 4.74465+ 0 6.00000+ 0 4.64737+ 0 8.00000+ 0 3.95996+ 0 1.00000+ 1 2.86260+ 0 1.10000+ 1 2.84381+ 0 1.30000+ 1 1.00000+ 0 1.40000+ 1 1.00000+ 0 1 32000 0 9 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.68518- 3 3.00000+ 0 1.28935- 3 5.00000+ 0 1.16928- 3 6.00000+ 0 1.13895- 3 8.00000+ 0 1.18899- 4 1.00000+ 1 8.28193- 5 1.10000+ 1 7.84009- 5 1.30000+ 1 1.48409- 5 1.40000+ 1 1.36808- 5 1 32000 0 7 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.58539- 1 9.81160- 3 6.00000+ 0 3.07699- 1 9.84420- 3 1.00000+ 1 2.04929- 2 1.09376- 2 1.10000+ 1 4.00378- 2 1.09420- 2 1.30000+ 1 3.76288- 5 1.10282- 2 1.40000+ 1 5.42778- 5 1.10288- 2 1.80000+ 1 3.34229- 4 1.10605- 2 1.90000+ 1 6.40897- 4 1.10607- 2 1 32000 0 9 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.25471- 2 8.26240- 3 3.00000+ 0 5.00000+ 0 3.62601- 2 8.40930- 3 3.00000+ 0 6.00000+ 0 6.26273- 2 8.44190- 3 3.00000+ 0 8.00000+ 0 9.10971- 3 9.48545- 3 3.00000+ 0 1.00000+ 1 5.01396- 3 9.53532- 3 3.00000+ 0 1.10000+ 1 8.58195- 3 9.53972- 3 3.00000+ 0 1.30000+ 1 3.16672- 4 9.62588- 3 3.00000+ 0 1.40000+ 1 4.20718- 4 9.62651- 3 3.00000+ 0 1.60000+ 1 8.97199- 4 9.64992- 3 3.00000+ 0 1.80000+ 1 1.13101- 4 9.65820- 3 3.00000+ 0 1.90000+ 1 1.91507- 4 9.65841- 3 5.00000+ 0 5.00000+ 0 6.28049- 3 8.55620- 3 5.00000+ 0 6.00000+ 0 1.46842- 1 8.58880- 3 5.00000+ 0 8.00000+ 0 4.27491- 3 9.63235- 3 5.00000+ 0 1.00000+ 1 1.61954- 3 9.68222- 3 5.00000+ 0 1.10000+ 1 1.72482- 2 9.68662- 3 5.00000+ 0 1.30000+ 1 4.32771- 4 9.77278- 3 5.00000+ 0 1.40000+ 1 1.58332- 3 9.77341- 3 5.00000+ 0 1.60000+ 1 4.11663- 4 9.79682- 3 5.00000+ 0 1.80000+ 1 3.61908- 5 9.80510- 3 5.00000+ 0 1.90000+ 1 3.79997- 4 9.80531- 3 6.00000+ 0 6.00000+ 0 8.04323- 2 8.62140- 3 6.00000+ 0 8.00000+ 0 7.41318- 3 9.66495- 3 6.00000+ 0 1.00000+ 1 1.72491- 2 9.71482- 3 6.00000+ 0 1.10000+ 1 1.92391- 2 9.71922- 3 6.00000+ 0 1.30000+ 1 1.95727- 3 9.80538- 3 6.00000+ 0 1.40000+ 1 1.89997- 3 9.80601- 3 6.00000+ 0 1.60000+ 1 7.14768- 4 9.82942- 3 6.00000+ 0 1.80000+ 1 3.79995- 4 9.83770- 3 6.00000+ 0 1.90000+ 1 4.23724- 4 9.83791- 3 8.00000+ 0 8.00000+ 0 6.64256- 4 1.07085- 2 8.00000+ 0 1.00000+ 1 6.27637- 4 1.07584- 2 8.00000+ 0 1.10000+ 1 1.07842- 3 1.07628- 2 8.00000+ 0 1.30000+ 1 3.66379- 5 1.08489- 2 8.00000+ 0 1.40000+ 1 4.77878- 5 1.08496- 2 8.00000+ 0 1.60000+ 1 1.30617- 4 1.08730- 2 8.00000+ 0 1.80000+ 1 1.43361- 5 1.08812- 2 8.00000+ 0 1.90000+ 1 2.38939- 5 1.08815- 2 1.00000+ 1 1.00000+ 1 1.08143- 4 1.08082- 2 1.00000+ 1 1.10000+ 1 2.22355- 3 1.08126- 2 1.00000+ 1 1.30000+ 1 4.26022- 5 1.08988- 2 1.00000+ 1 1.40000+ 1 1.63854- 4 1.08994- 2 1.00000+ 1 1.60000+ 1 6.22650- 5 1.09228- 2 1.00000+ 1 1.80000+ 1 4.91562- 6 1.09311- 2 1.00000+ 1 1.90000+ 1 4.91562- 5 1.09313- 2 1.10000+ 1 1.10000+ 1 1.30262- 3 1.08170- 2 1.10000+ 1 1.30000+ 1 2.13129- 4 1.09032- 2 1.10000+ 1 1.40000+ 1 2.02891- 4 1.09038- 2 1.10000+ 1 1.60000+ 1 1.10828- 4 1.09272- 2 1.10000+ 1 1.80000+ 1 5.11497- 5 1.09355- 2 1.10000+ 1 1.90000+ 1 5.79706- 5 1.09357- 2 1.30000+ 1 1.40000+ 1 1.38250- 5 1.09900- 2 1.30000+ 1 1.60000+ 1 3.07229- 6 1.10134- 2 1.30000+ 1 1.80000+ 1 1.53614- 6 1.10217- 2 1.30000+ 1 1.90000+ 1 4.60843- 6 1.10219- 2 1.40000+ 1 1.40000+ 1 3.51519- 6 1.09906- 2 1.40000+ 1 1.60000+ 1 5.27277- 6 1.10140- 2 1.40000+ 1 1.80000+ 1 3.51519- 6 1.10223- 2 1.40000+ 1 1.90000+ 1 5.27277- 6 1.10225- 2 1.60000+ 1 1.60000+ 1 6.03137- 6 1.10374- 2 1.60000+ 1 1.80000+ 1 1.50789- 6 1.10457- 2 1.60000+ 1 1.90000+ 1 1.50789- 6 1.10459- 2 1 32000 0 7 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.51430- 5 1.46900- 4 6.00000+ 0 7.96502- 5 1.79500- 4 1.00000+ 1 8.45872- 4 1.27292- 3 1.10000+ 1 1.42280- 3 1.27732- 3 1.30000+ 1 3.68421- 6 1.36348- 3 1.40000+ 1 5.30451- 6 1.36411- 3 1.80000+ 1 1.48270- 5 1.39580- 3 1.90000+ 1 2.65231- 5 1.39601- 3 1 32000 0 9 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.00000+ 1 2.93906- 2 1.75200- 5 5.00000+ 0 1.10000+ 1 7.66285- 2 2.19200- 5 5.00000+ 0 1.30000+ 1 5.23468- 2 1.08080- 4 5.00000+ 0 1.40000+ 1 8.41045- 2 1.08710- 4 5.00000+ 0 1.60000+ 1 6.56453- 3 1.32120- 4 5.00000+ 0 1.80000+ 1 1.07022- 3 1.40400- 4 5.00000+ 0 1.90000+ 1 1.49538- 3 1.40610- 4 6.00000+ 0 1.00000+ 1 6.62188- 2 5.01200- 5 6.00000+ 0 1.10000+ 1 1.40867- 1 5.45200- 5 6.00000+ 0 1.30000+ 1 1.37184- 1 1.40680- 4 6.00000+ 0 1.40000+ 1 1.95406- 1 1.41310- 4 6.00000+ 0 1.60000+ 1 1.14422- 2 1.64720- 4 6.00000+ 0 1.80000+ 1 1.26724- 3 1.73000- 4 6.00000+ 0 1.90000+ 1 2.73520- 3 1.73210- 4 8.00000+ 0 8.00000+ 0 9.30105- 3 1.04380- 3 8.00000+ 0 1.00000+ 1 1.73140- 2 1.09367- 3 8.00000+ 0 1.10000+ 1 3.35117- 2 1.09807- 3 8.00000+ 0 1.30000+ 1 2.12224- 2 1.18423- 3 8.00000+ 0 1.40000+ 1 3.10544- 2 1.18486- 3 8.00000+ 0 1.60000+ 1 1.64237- 3 1.20827- 3 8.00000+ 0 1.80000+ 1 3.87441- 4 1.21655- 3 8.00000+ 0 1.90000+ 1 7.46872- 4 1.21676- 3 1.00000+ 1 1.00000+ 1 2.10803- 4 1.14354- 3 1.00000+ 1 1.10000+ 1 6.27118- 4 1.14794- 3 1.00000+ 1 1.30000+ 1 3.31250- 4 1.23410- 3 1.00000+ 1 1.40000+ 1 6.42174- 3 1.23473- 3 1.00000+ 1 1.60000+ 1 1.30644- 3 1.25814- 3 1.00000+ 1 1.80000+ 1 7.08612- 6 1.26642- 3 1.00000+ 1 1.90000+ 1 1.32861- 5 1.26663- 3 1.10000+ 1 1.10000+ 1 8.84258- 4 1.15234- 3 1.10000+ 1 1.30000+ 1 6.95861- 3 1.23850- 3 1.10000+ 1 1.40000+ 1 4.94497- 3 1.23913- 3 1.10000+ 1 1.60000+ 1 2.74808- 3 1.26254- 3 1.10000+ 1 1.80000+ 1 1.44332- 5 1.27082- 3 1.10000+ 1 1.90000+ 1 3.36779- 5 1.27103- 3 1.30000+ 1 1.30000+ 1 7.49570- 4 1.32466- 3 1.30000+ 1 1.40000+ 1 3.60391- 2 1.32529- 3 1.30000+ 1 1.60000+ 1 1.57125- 3 1.34870- 3 1.30000+ 1 1.80000+ 1 9.91045- 6 1.35698- 3 1.30000+ 1 1.90000+ 1 1.43252- 4 1.35719- 3 1.40000+ 1 1.40000+ 1 9.96323- 3 1.32592- 3 1.40000+ 1 1.60000+ 1 2.30184- 3 1.34933- 3 1.40000+ 1 1.80000+ 1 1.41448- 4 1.35761- 3 1.40000+ 1 1.90000+ 1 1.04504- 4 1.35782- 3 1.60000+ 1 1.60000+ 1 7.11711- 5 1.37274- 3 1.60000+ 1 1.80000+ 1 2.97275- 5 1.38102- 3 1.60000+ 1 1.90000+ 1 5.76616- 5 1.38123- 3 1 32000 0 7 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 9.43262-10 3.26000- 5 8.00000+ 0 4.21451- 3 1.07615- 3 1.10000+ 1 2.07200- 5 1.13042- 3 1.30000+ 1 9.33232- 3 1.21658- 3 1.60000+ 1 1.44440- 4 1.24062- 3 1.90000+ 1 4.58571- 8 1.24911- 3 1 32000 0 9 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 2.12506- 2 1.78200- 5 6.00000+ 0 1.80000+ 1 1.68144- 2 2.61000- 5 6.00000+ 0 1.90000+ 1 6.82712- 3 2.63100- 5 8.00000+ 0 8.00000+ 0 2.76386- 3 8.96900- 4 8.00000+ 0 1.00000+ 1 5.25910- 2 9.46770- 4 8.00000+ 0 1.10000+ 1 4.57629- 3 9.51170- 4 8.00000+ 0 1.30000+ 1 2.56586- 3 1.03733- 3 8.00000+ 0 1.40000+ 1 6.38209- 3 1.03796- 3 8.00000+ 0 1.60000+ 1 4.67685- 4 1.06137- 3 8.00000+ 0 1.80000+ 1 9.45124- 4 1.06965- 3 8.00000+ 0 1.90000+ 1 9.41889- 5 1.06986- 3 1.00000+ 1 1.00000+ 1 4.69479- 2 9.96640- 4 1.00000+ 1 1.10000+ 1 1.59553- 1 1.00104- 3 1.00000+ 1 1.30000+ 1 6.70130- 2 1.08720- 3 1.00000+ 1 1.40000+ 1 1.25891- 1 1.08783- 3 1.00000+ 1 1.60000+ 1 5.26147- 3 1.11124- 3 1.00000+ 1 1.80000+ 1 1.91298- 3 1.11952- 3 1.00000+ 1 1.90000+ 1 3.51092- 3 1.11973- 3 1.10000+ 1 1.10000+ 1 4.43617- 3 1.00544- 3 1.10000+ 1 1.30000+ 1 8.14962- 2 1.09160- 3 1.10000+ 1 1.40000+ 1 1.17142- 2 1.09223- 3 1.10000+ 1 1.60000+ 1 4.05949- 4 1.11564- 3 1.10000+ 1 1.80000+ 1 2.94231- 3 1.12392- 3 1.10000+ 1 1.90000+ 1 1.75372- 4 1.12413- 3 1.30000+ 1 1.30000+ 1 6.17886- 2 1.17776- 3 1.30000+ 1 1.40000+ 1 2.78216- 1 1.17839- 3 1.30000+ 1 1.60000+ 1 2.59582- 4 1.20180- 3 1.30000+ 1 1.80000+ 1 1.20498- 3 1.21008- 3 1.30000+ 1 1.90000+ 1 1.71128- 3 1.21029- 3 1.40000+ 1 1.40000+ 1 1.33952- 2 1.17902- 3 1.40000+ 1 1.60000+ 1 5.87874- 4 1.20243- 3 1.40000+ 1 1.80000+ 1 2.17613- 3 1.21071- 3 1.40000+ 1 1.90000+ 1 2.33858- 4 1.21092- 3 1.60000+ 1 1.60000+ 1 1.94867- 5 1.22584- 3 1.60000+ 1 1.80000+ 1 9.41898- 5 1.23412- 3 1.60000+ 1 1.90000+ 1 9.74367- 6 1.23433- 3 1.80000+ 1 1.80000+ 1 1.29907- 5 1.24240- 3 1.80000+ 1 1.90000+ 1 3.89743- 5 1.24261- 3 1 32000 0 7 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.22021- 3 1.04355- 3 1.00000+ 1 1.09060- 5 1.09342- 3 1.10000+ 1 1.05000- 5 1.09782- 3 1.30000+ 1 8.05681- 4 1.18398- 3 1.40000+ 1 8.31881- 3 1.18461- 3 1.60000+ 1 1.24860- 4 1.20802- 3 1.80000+ 1 2.10710- 8 1.21630- 3 1.90000+ 1 1.99380- 8 1.21651- 3 1 32000 0 9 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.90445- 3 8.64300- 4 8.00000+ 0 1.00000+ 1 2.09171- 3 9.14170- 4 8.00000+ 0 1.10000+ 1 5.51338- 2 9.18570- 4 8.00000+ 0 1.30000+ 1 4.35499- 3 1.00473- 3 8.00000+ 0 1.40000+ 1 5.00277- 3 1.00536- 3 8.00000+ 0 1.60000+ 1 4.92179- 4 1.02877- 3 8.00000+ 0 1.80000+ 1 4.20942- 5 1.03705- 3 8.00000+ 0 1.90000+ 1 9.94104- 4 1.03726- 3 1.00000+ 1 1.00000+ 1 7.86833- 4 9.64040- 4 1.00000+ 1 1.10000+ 1 8.61179- 2 9.68440- 4 1.00000+ 1 1.30000+ 1 4.58175- 3 1.05460- 3 1.00000+ 1 1.40000+ 1 4.30070- 2 1.05523- 3 1.00000+ 1 1.60000+ 1 1.84567- 4 1.07864- 3 1.00000+ 1 1.80000+ 1 3.23799- 5 1.08692- 3 1.00000+ 1 1.90000+ 1 1.58981- 3 1.08713- 3 1.10000+ 1 1.10000+ 1 1.25938- 1 9.72840- 4 1.10000+ 1 1.30000+ 1 9.89277- 2 1.05900- 3 1.10000+ 1 1.40000+ 1 1.49834- 1 1.05963- 3 1.10000+ 1 1.60000+ 1 5.47885- 3 1.08304- 3 1.10000+ 1 1.80000+ 1 1.88458- 3 1.09132- 3 1.10000+ 1 1.90000+ 1 5.09672- 3 1.09153- 3 1.30000+ 1 1.30000+ 1 1.11390- 2 1.14516- 3 1.30000+ 1 1.40000+ 1 2.23168- 1 1.14579- 3 1.30000+ 1 1.60000+ 1 4.07973- 4 1.16920- 3 1.30000+ 1 1.80000+ 1 1.00382- 4 1.17748- 3 1.30000+ 1 1.90000+ 1 1.75497- 3 1.17769- 3 1.40000+ 1 1.40000+ 1 1.51100- 1 1.14642- 3 1.40000+ 1 1.60000+ 1 4.85692- 4 1.16983- 3 1.40000+ 1 1.80000+ 1 9.03387- 4 1.17811- 3 1.40000+ 1 1.90000+ 1 2.80083- 3 1.17832- 3 1.60000+ 1 1.60000+ 1 1.94278- 5 1.19324- 3 1.60000+ 1 1.80000+ 1 3.23807- 6 1.20152- 3 1.60000+ 1 1.90000+ 1 1.00384- 4 1.20173- 3 1.80000+ 1 1.90000+ 1 1.94270- 5 1.21001- 3 1.90000+ 1 1.90000+ 1 2.91430- 5 1.21022- 3 1 32000 0 7 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.23020- 5 4.98700- 5 1.10000+ 1 3.23001- 5 5.42700- 5 1.80000+ 1 2.29881- 6 1.72750- 4 1.90000+ 1 3.59621- 6 1.72960- 4 1 32000 0 9 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 5.71461- 2 1.10500- 5 1.00000+ 1 1.40000+ 1 6.63447- 2 1.16800- 5 1.00000+ 1 1.60000+ 1 7.86054- 2 3.50900- 5 1.00000+ 1 1.80000+ 1 1.14915- 2 4.33700- 5 1.00000+ 1 1.90000+ 1 2.89331- 2 4.35800- 5 1.10000+ 1 1.30000+ 1 1.23544- 1 1.54500- 5 1.10000+ 1 1.40000+ 1 1.98970- 1 1.60800- 5 1.10000+ 1 1.60000+ 1 1.42663- 1 3.94900- 5 1.10000+ 1 1.80000+ 1 2.87247- 2 4.77700- 5 1.10000+ 1 1.90000+ 1 4.53399- 2 4.79800- 5 1.30000+ 1 1.30000+ 1 7.38109- 3 1.01610- 4 1.30000+ 1 1.40000+ 1 4.25322- 2 1.02240- 4 1.30000+ 1 1.60000+ 1 5.52666- 2 1.25650- 4 1.30000+ 1 1.80000+ 1 1.52754- 3 1.33930- 4 1.30000+ 1 1.90000+ 1 1.42294- 3 1.34140- 4 1.40000+ 1 1.40000+ 1 2.09853- 2 1.02870- 4 1.40000+ 1 1.60000+ 1 8.20047- 2 1.26280- 4 1.40000+ 1 1.80000+ 1 7.68680- 4 1.34560- 4 1.40000+ 1 1.90000+ 1 3.35173- 3 1.34770- 4 1.60000+ 1 1.60000+ 1 1.62565- 3 1.49690- 4 1.60000+ 1 1.80000+ 1 4.45565- 4 1.57970- 4 1.60000+ 1 1.90000+ 1 8.44393- 4 1.58180- 4 1.80000+ 1 1.90000+ 1 2.23771- 5 1.66460- 4 1.90000+ 1 1.90000+ 1 7.89763- 6 1.66670- 4 1 32000 0 7 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 5.83360- 5 9.05600- 5 1.60000+ 1 8.94200- 6 1.14600- 4 1 32000 0 9 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.41527- 1 5.17400- 5 1.30000+ 1 1.40000+ 1 7.02595- 1 5.23700- 5 1.30000+ 1 1.60000+ 1 6.04028- 2 7.57800- 5 1.30000+ 1 1.80000+ 1 1.51817- 2 8.40600- 5 1.30000+ 1 1.90000+ 1 2.23935- 2 8.42700- 5 1.40000+ 1 1.40000+ 1 1.96458- 2 5.30000- 5 1.40000+ 1 1.60000+ 1 9.92268- 3 7.64100- 5 1.40000+ 1 1.80000+ 1 2.48507- 2 8.46900- 5 1.40000+ 1 1.90000+ 1 2.32087- 3 8.49000- 5 1.60000+ 1 1.60000+ 1 5.45470- 5 9.98200- 5 1.60000+ 1 1.80000+ 1 6.92048- 4 1.08100- 4 1.60000+ 1 1.90000+ 1 6.13650- 5 1.08310- 4 1.80000+ 1 1.90000+ 1 2.82270- 4 1.16590- 4 1.90000+ 1 1.90000+ 1 2.72720- 6 1.16800- 4 1 32000 0 7 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 5.23161- 6 8.61600- 5 1.40000+ 1 4.84271- 5 8.67900- 5 1.60000+ 1 5.68871- 6 1.10200- 4 1 32000 0 9 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 2.36681- 2 4.73400- 5 1.30000+ 1 1.40000+ 1 4.74545- 1 4.79700- 5 1.30000+ 1 1.60000+ 1 1.38392- 2 7.13800- 5 1.30000+ 1 1.80000+ 1 1.97076- 3 7.96600- 5 1.30000+ 1 1.90000+ 1 2.00678- 2 7.98700- 5 1.40000+ 1 1.40000+ 1 3.46765- 1 4.86000- 5 1.40000+ 1 1.60000+ 1 6.68604- 2 7.20100- 5 1.40000+ 1 1.80000+ 1 1.39276- 2 8.02900- 5 1.40000+ 1 1.90000+ 1 3.71975- 2 8.05000- 5 1.60000+ 1 1.60000+ 1 2.76955- 5 9.54200- 5 1.60000+ 1 1.80000+ 1 3.27980- 5 1.03700- 4 1.60000+ 1 1.90000+ 1 7.87878- 4 1.03910- 4 1.80000+ 1 1.90000+ 1 1.69820- 4 1.12190- 4 1.90000+ 1 1.90000+ 1 8.09011- 5 1.12400- 4 1 32000 0 7 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 8.28221- 8 3.23200- 5 1.90000+ 1 1.56680- 8 3.25300- 5 1 32000 0 9 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 4.84616- 1 9.26000- 6 1.60000+ 1 1.80000+ 1 2.01976- 1 1.75400- 5 1.60000+ 1 1.90000+ 1 1.62879- 1 1.77500- 5 1.80000+ 1 1.90000+ 1 1.44100- 1 2.60300- 5 1.90000+ 1 1.90000+ 1 6.42920- 3 2.62400- 5 1 32000 0 7 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 7.94543- 8 3.19000- 5 1 32000 0 9 7.25900+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 4.99340- 1 8.63000- 6 1.60000+ 1 1.80000+ 1 8.22640- 2 1.69100- 5 1.60000+ 1 1.90000+ 1 3.20700- 1 1.71200- 5 1.80000+ 1 1.90000+ 1 5.68432- 2 2.54000- 5 1.90000+ 1 1.90000+ 1 4.08532- 2 2.56100- 5 1 33000 0 0 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 1.00000+ 0 1.90000+ 1 2.00000+ 0 1 33000 0 0 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.18290- 2 3.00000+ 0 1.51920- 3 5.00000+ 0 1.36570- 3 6.00000+ 0 1.32830- 3 8.00000+ 0 2.02020- 4 1.00000+ 1 1.48950- 4 1.10000+ 1 1.43780- 4 1.30000+ 1 5.13200- 5 1.40000+ 1 5.05500- 5 1.60000+ 1 1.78600- 5 1.80000+ 1 8.12000- 6 1.90000+ 1 7.81000- 6 1 33000 0 0 7.49216+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.50850- 2 3.00000+ 0 2.98340- 3 5.00000+ 0 2.97620- 3 6.00000+ 0 2.83720- 3 8.00000+ 0 6.97300- 4 1.00000+ 1 6.45800- 4 1.10000+ 1 6.18500- 4 1.30000+ 1 4.95470- 4 1.40000+ 1 4.89190- 4 1.60000+ 1 9.27000- 5 1.80000+ 1 5.68900- 5 1.90000+ 1 5.38400- 5 1 33000 0 0 7.49216+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.40110-10 3.00000+ 0 1.06500- 9 5.00000+ 0 9.16360-10 6.00000+ 0 9.35660-10 8.00000+ 0 3.12940- 9 1.00000+ 1 3.17420- 9 1.10000+ 1 3.22830- 9 1.30000+ 1 3.43410- 9 1.40000+ 1 3.45610- 9 1.60000+ 1 9.85480- 9 1.80000+ 1 1.27700- 8 1.90000+ 1 1.30750- 8 1 33000 0 0 7.49216+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.14180- 6 3.00000+ 0 9.71680- 9 5.00000+ 0 1.40990- 8 6.00000+ 0 1.37880- 8 8.00000+ 0 5.84730-11 1.00000+ 1 1.69380-10 1.10000+ 1 1.53240-10 1.30000+ 1 1.01770-12 1.40000+ 1 9.57710-13 1 33000 0 0 7.49216+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.70710- 7 3.00000+ 0 7.84130- 6 5.00000+ 0 9.20340- 7 6.00000+ 0 9.07310- 7 8.00000+ 0 3.96010- 6 1.00000+ 1 3.94890- 6 1.10000+ 1 3.62750- 6 1.30000+ 1 5.78550- 8 1.40000+ 1 5.95160- 8 1 33000 0 0 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.14210- 4 3.00000+ 0 1.09156- 4 5.00000+ 0 7.94772- 5 6.00000+ 0 7.82334- 5 8.00000+ 0 6.62938- 5 1.00000+ 1 5.36482- 5 1.10000+ 1 5.34429- 5 1.30000+ 1 2.82698- 5 1.40000+ 1 2.88947- 5 1.60000+ 1 1.78600- 5 1.80000+ 1 8.12000- 6 1.90000+ 1 7.81000- 6 1 33000 0 7 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.77207- 1 3.00000+ 0 1.53220- 2 5.00000+ 0 1.63812- 2 6.00000+ 0 1.53914- 2 8.00000+ 0 1.25508- 4 1.00000+ 1 9.26266- 5 1.10000+ 1 8.21467- 5 1.30000+ 1 5.04918- 7 1.40000+ 1 4.10922- 7 1 33000 0 7 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.95098- 3 3.00000+ 0 1.91920- 5 5.00000+ 0 2.07662- 5 6.00000+ 0 1.89490- 5 8.00000+ 0 1.16923- 8 1.00000+ 1 9.43024- 9 1.10000+ 1 7.92034- 9 1.30000+ 1 2.18373-11 1.40000+ 1 1.75628-11 1 33000 0 9 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.03966+ 0 3.00000+ 0 6.66966+ 0 5.00000+ 0 4.61273+ 0 6.00000+ 0 4.49803+ 0 8.00000+ 0 3.66122+ 0 1.00000+ 1 2.79470+ 0 1.10000+ 1 2.76410+ 0 1.30000+ 1 9.99999- 1 1.40000+ 1 1.00000+ 0 1 33000 0 9 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.76381- 3 3.00000+ 0 1.39085- 3 5.00000+ 0 1.26546- 3 6.00000+ 0 1.23112- 3 8.00000+ 0 1.35715- 4 1.00000+ 1 9.52924- 5 1.10000+ 1 9.03291- 5 1.30000+ 1 2.30502- 5 1.40000+ 1 2.16553- 5 1 33000 0 7 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.66890- 1 1.04633- 2 6.00000+ 0 3.23251- 1 1.05007- 2 1.00000+ 1 2.20590- 2 1.16800- 2 1.10000+ 1 4.30891- 2 1.16852- 2 1.30000+ 1 4.61411- 5 1.17777- 2 1.40000+ 1 6.64471- 5 1.17784- 2 1.80000+ 1 6.72162- 4 1.18209- 2 1.90000+ 1 1.29230- 3 1.18212- 2 1 33000 0 9 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.05370- 2 8.79060- 3 3.00000+ 0 5.00000+ 0 3.40416- 2 8.94410- 3 3.00000+ 0 6.00000+ 0 5.81569- 2 8.98150- 3 3.00000+ 0 8.00000+ 0 8.68245- 3 1.01078- 2 3.00000+ 0 1.00000+ 1 4.81858- 3 1.01608- 2 3.00000+ 0 1.10000+ 1 8.16152- 3 1.01660- 2 3.00000+ 0 1.30000+ 1 3.20598- 4 1.02585- 2 3.00000+ 0 1.40000+ 1 4.22865- 4 1.02592- 2 3.00000+ 0 1.60000+ 1 9.34125- 4 1.02919- 2 3.00000+ 0 1.80000+ 1 1.83797- 4 1.03017- 2 3.00000+ 0 1.90000+ 1 3.10929- 4 1.03020- 2 5.00000+ 0 5.00000+ 0 5.85512- 3 9.09760- 3 5.00000+ 0 6.00000+ 0 1.36222- 1 9.13500- 3 5.00000+ 0 8.00000+ 0 4.06977- 3 1.02613- 2 5.00000+ 0 1.00000+ 1 1.53944- 3 1.03143- 2 5.00000+ 0 1.10000+ 1 1.63510- 2 1.03195- 2 5.00000+ 0 1.30000+ 1 4.35309- 4 1.04120- 2 5.00000+ 0 1.40000+ 1 1.58922- 3 1.04127- 2 5.00000+ 0 1.60000+ 1 4.28390- 4 1.04454- 2 5.00000+ 0 1.80000+ 1 5.80381- 5 1.04552- 2 5.00000+ 0 1.90000+ 1 6.12178- 4 1.04555- 2 6.00000+ 0 6.00000+ 0 7.43816- 2 9.17240- 3 6.00000+ 0 8.00000+ 0 6.98314- 3 1.02987- 2 6.00000+ 0 1.00000+ 1 1.63388- 2 1.03517- 2 6.00000+ 0 1.10000+ 1 1.81856- 2 1.03569- 2 6.00000+ 0 1.30000+ 1 1.96094- 3 1.04494- 2 6.00000+ 0 1.40000+ 1 1.90012- 3 1.04501- 2 6.00000+ 0 1.60000+ 1 7.33820- 4 1.04828- 2 6.00000+ 0 1.80000+ 1 6.13595- 4 1.04926- 2 6.00000+ 0 1.90000+ 1 6.82666- 4 1.04929- 2 8.00000+ 0 8.00000+ 0 6.34075- 4 1.14250- 2 8.00000+ 0 1.00000+ 1 6.03843- 4 1.14780- 2 8.00000+ 0 1.10000+ 1 1.02371- 3 1.14832- 2 8.00000+ 0 1.30000+ 1 3.73822- 5 1.15757- 2 8.00000+ 0 1.40000+ 1 4.88828- 5 1.15764- 2 8.00000+ 0 1.60000+ 1 1.36592- 4 1.16091- 2 8.00000+ 0 1.80000+ 1 2.30043- 5 1.16189- 2 8.00000+ 0 1.90000+ 1 3.88199- 5 1.16192- 2 1.00000+ 1 1.00000+ 1 1.03444- 4 1.15311- 2 1.00000+ 1 1.10000+ 1 2.11769- 3 1.15363- 2 1.00000+ 1 1.30000+ 1 4.43344- 5 1.16287- 2 1.00000+ 1 1.40000+ 1 1.65514- 4 1.16295- 2 1.00000+ 1 1.60000+ 1 6.50271- 5 1.16622- 2 1.00000+ 1 1.80000+ 1 7.38892- 6 1.16719- 2 1.00000+ 1 1.90000+ 1 7.98045- 5 1.16722- 2 1.10000+ 1 1.10000+ 1 1.22342- 3 1.15414- 2 1.10000+ 1 1.30000+ 1 2.12753- 4 1.16339- 2 1.10000+ 1 1.40000+ 1 2.02121- 4 1.16347- 2 1.10000+ 1 1.60000+ 1 1.13969- 4 1.16674- 2 1.10000+ 1 1.80000+ 1 8.20642- 5 1.16771- 2 1.10000+ 1 1.90000+ 1 9.11772- 5 1.16774- 2 1.30000+ 1 1.40000+ 1 1.52017- 5 1.17271- 2 1.30000+ 1 1.60000+ 1 4.14583- 6 1.17598- 2 1.30000+ 1 1.80000+ 1 1.38198- 6 1.17696- 2 1.30000+ 1 1.90000+ 1 6.90957- 6 1.17699- 2 1.40000+ 1 1.40000+ 1 4.14573- 6 1.17279- 2 1.40000+ 1 1.60000+ 1 5.52746- 6 1.17606- 2 1.40000+ 1 1.80000+ 1 5.52746- 6 1.17703- 2 1.40000+ 1 1.90000+ 1 6.90940- 6 1.17706- 2 1.60000+ 1 1.60000+ 1 6.90941- 6 1.17933- 2 1.60000+ 1 1.80000+ 1 2.76389- 6 1.18030- 2 1.60000+ 1 1.90000+ 1 4.14573- 6 1.18033- 2 1.80000+ 1 1.90000+ 1 2.76401- 6 1.18131- 2 1.90000+ 1 1.90000+ 1 1.38190- 6 1.18134- 2 1 33000 0 7 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.47177- 5 1.53500- 4 6.00000+ 0 7.92740- 5 1.90900- 4 1.00000+ 1 9.04147- 4 1.37025- 3 1.10000+ 1 1.55206- 3 1.37542- 3 1.30000+ 1 4.19556- 6 1.46788- 3 1.40000+ 1 6.17021- 6 1.46865- 3 1.80000+ 1 2.92382- 5 1.51108- 3 1.90000+ 1 5.22734- 5 1.51139- 3 1 33000 0 9 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.30000+ 1 5.86025- 2 1.02180- 4 5.00000+ 0 1.40000+ 1 9.40104- 2 1.02950- 4 5.00000+ 0 1.60000+ 1 8.28681- 3 1.35640- 4 5.00000+ 0 1.80000+ 1 2.12082- 3 1.45380- 4 5.00000+ 0 1.90000+ 1 2.95933- 3 1.45690- 4 6.00000+ 0 1.00000+ 1 7.54468- 2 4.19500- 5 6.00000+ 0 1.10000+ 1 1.59819- 1 4.71200- 5 6.00000+ 0 1.30000+ 1 1.59501- 1 1.39580- 4 6.00000+ 0 1.40000+ 1 2.27521- 1 1.40350- 4 6.00000+ 0 1.60000+ 1 1.42796- 2 1.73040- 4 6.00000+ 0 1.80000+ 1 2.48050- 3 1.82780- 4 6.00000+ 0 1.90000+ 1 5.31159- 3 1.83090- 4 8.00000+ 0 8.00000+ 0 8.65091- 3 1.11516- 3 8.00000+ 0 1.00000+ 1 1.62020- 2 1.16823- 3 8.00000+ 0 1.10000+ 1 3.13156- 2 1.17340- 3 8.00000+ 0 1.30000+ 1 2.05920- 2 1.26586- 3 8.00000+ 0 1.40000+ 1 3.01093- 2 1.26663- 3 8.00000+ 0 1.60000+ 1 1.66266- 3 1.29932- 3 8.00000+ 0 1.80000+ 1 6.18188- 4 1.30906- 3 8.00000+ 0 1.90000+ 1 1.18923- 3 1.30937- 3 1.00000+ 1 1.00000+ 1 1.93584- 4 1.22130- 3 1.00000+ 1 1.10000+ 1 6.17360- 4 1.22647- 3 1.00000+ 1 1.30000+ 1 3.35929- 4 1.31893- 3 1.00000+ 1 1.40000+ 1 6.42986- 3 1.31970- 3 1.00000+ 1 1.60000+ 1 1.34779- 3 1.35239- 3 1.00000+ 1 1.80000+ 1 1.13873- 5 1.36213- 3 1.00000+ 1 1.90000+ 1 2.27749- 5 1.36244- 3 1.10000+ 1 1.10000+ 1 8.54542- 4 1.23164- 3 1.10000+ 1 1.30000+ 1 6.98865- 3 1.32410- 3 1.10000+ 1 1.40000+ 1 4.95822- 3 1.32487- 3 1.10000+ 1 1.60000+ 1 2.87679- 3 1.35756- 3 1.10000+ 1 1.80000+ 1 2.51330- 5 1.36730- 3 1.10000+ 1 1.90000+ 1 5.56530- 5 1.36761- 3 1.30000+ 1 1.30000+ 1 7.68630- 4 1.41656- 3 1.30000+ 1 1.40000+ 1 3.61996- 2 1.41733- 3 1.30000+ 1 1.60000+ 1 1.65279- 3 1.45002- 3 1.30000+ 1 1.80000+ 1 1.62674- 5 1.45976- 3 1.30000+ 1 1.90000+ 1 2.36700- 4 1.46007- 3 1.40000+ 1 1.40000+ 1 1.00290- 2 1.41810- 3 1.40000+ 1 1.60000+ 1 2.41890- 3 1.45079- 3 1.40000+ 1 1.80000+ 1 2.35882- 4 1.46053- 3 1.40000+ 1 1.90000+ 1 1.73253- 4 1.46084- 3 1.60000+ 1 1.60000+ 1 7.80837- 5 1.48348- 3 1.60000+ 1 1.80000+ 1 5.12430- 5 1.49322- 3 1.60000+ 1 1.90000+ 1 9.92332- 5 1.49353- 3 1.80000+ 1 1.90000+ 1 8.13389- 7 1.50327- 3 1.90000+ 1 1.90000+ 1 8.13389- 7 1.50358- 3 1 33000 0 7 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.11430- 9 3.74000- 5 8.00000+ 0 3.97241- 3 1.16368- 3 1.10000+ 1 2.16131- 5 1.22192- 3 1.30000+ 1 1.12390- 2 1.31438- 3 1.60000+ 1 1.49861- 4 1.34784- 3 1.90000+ 1 9.45533- 8 1.35789- 3 1 33000 0 9 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 2.26086- 2 1.95400- 5 6.00000+ 0 1.80000+ 1 2.65720- 2 2.92800- 5 6.00000+ 0 1.90000+ 1 1.07277- 2 2.95900- 5 8.00000+ 0 8.00000+ 0 2.54130- 3 9.61660- 4 8.00000+ 0 1.00000+ 1 4.89318- 2 1.01473- 3 8.00000+ 0 1.10000+ 1 4.30681- 3 1.01990- 3 8.00000+ 0 1.30000+ 1 2.40949- 3 1.11236- 3 8.00000+ 0 1.40000+ 1 6.13075- 3 1.11313- 3 8.00000+ 0 1.60000+ 1 4.68445- 4 1.14582- 3 8.00000+ 0 1.80000+ 1 1.48441- 3 1.15556- 3 8.00000+ 0 1.90000+ 1 1.52252- 4 1.15587- 3 1.00000+ 1 1.00000+ 1 4.41442- 2 1.06780- 3 1.00000+ 1 1.10000+ 1 1.49533- 1 1.07297- 3 1.00000+ 1 1.30000+ 1 6.52003- 2 1.16543- 3 1.00000+ 1 1.40000+ 1 1.21956- 1 1.16620- 3 1.00000+ 1 1.60000+ 1 5.35476- 3 1.19889- 3 1.00000+ 1 1.80000+ 1 3.04777- 3 1.20863- 3 1.00000+ 1 1.90000+ 1 5.59496- 3 1.20894- 3 1.10000+ 1 1.10000+ 1 4.14269- 3 1.07814- 3 1.10000+ 1 1.30000+ 1 7.96706- 2 1.17060- 3 1.10000+ 1 1.40000+ 1 1.13769- 2 1.17137- 3 1.10000+ 1 1.60000+ 1 4.15737- 4 1.20406- 3 1.10000+ 1 1.80000+ 1 4.64920- 3 1.21380- 3 1.10000+ 1 1.90000+ 1 2.75204- 4 1.21411- 3 1.30000+ 1 1.30000+ 1 6.18256- 2 1.26306- 3 1.30000+ 1 1.40000+ 1 2.77674- 1 1.26383- 3 1.30000+ 1 1.60000+ 1 2.67909- 4 1.29652- 3 1.30000+ 1 1.80000+ 1 1.97630- 3 1.30626- 3 1.30000+ 1 1.90000+ 1 2.83768- 3 1.30657- 3 1.40000+ 1 1.40000+ 1 1.34073- 2 1.26460- 3 1.40000+ 1 1.60000+ 1 6.14825- 4 1.29729- 3 1.40000+ 1 1.80000+ 1 3.54844- 3 1.30703- 3 1.40000+ 1 1.90000+ 1 3.86464- 4 1.30734- 3 1.60000+ 1 1.60000+ 1 2.04948- 5 1.32998- 3 1.60000+ 1 1.80000+ 1 1.63957- 4 1.33972- 3 1.60000+ 1 1.90000+ 1 1.46392- 5 1.34003- 3 1.80000+ 1 1.80000+ 1 4.09876- 5 1.34946- 3 1.80000+ 1 1.90000+ 1 1.40533- 4 1.34977- 3 1.90000+ 1 1.90000+ 1 2.92771- 6 1.35008- 3 1 33000 0 7 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.16398- 3 1.12628- 3 1.00000+ 1 1.16210- 5 1.17935- 3 1.10000+ 1 1.11650- 5 1.18452- 3 1.30000+ 1 9.90226- 4 1.27698- 3 1.40000+ 1 1.00090- 2 1.27775- 3 1.60000+ 1 1.30850- 4 1.31044- 3 1.80000+ 1 4.39948- 8 1.32018- 3 1.90000+ 1 4.17228- 8 1.32049- 3 1 33000 0 9 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.71394- 3 9.24260- 4 8.00000+ 0 1.00000+ 1 1.97560- 3 9.77330- 4 8.00000+ 0 1.10000+ 1 5.19127- 2 9.82500- 4 8.00000+ 0 1.30000+ 1 4.23471- 3 1.07496- 3 8.00000+ 0 1.40000+ 1 4.78701- 3 1.07573- 3 8.00000+ 0 1.60000+ 1 5.02023- 4 1.10842- 3 8.00000+ 0 1.80000+ 1 6.79221- 5 1.11816- 3 8.00000+ 0 1.90000+ 1 1.58284- 3 1.11847- 3 1.00000+ 1 1.00000+ 1 7.44188- 4 1.03040- 3 1.00000+ 1 1.10000+ 1 8.18163- 2 1.03557- 3 1.00000+ 1 1.30000+ 1 4.55376- 3 1.12803- 3 1.00000+ 1 1.40000+ 1 4.25636- 2 1.12880- 3 1.00000+ 1 1.60000+ 1 1.88995- 4 1.16149- 3 1.00000+ 1 1.80000+ 1 5.02029- 5 1.17123- 3 1.00000+ 1 1.90000+ 1 2.54254- 3 1.17154- 3 1.10000+ 1 1.10000+ 1 1.19509- 1 1.04074- 3 1.10000+ 1 1.30000+ 1 9.74586- 2 1.13320- 3 1.10000+ 1 1.40000+ 1 1.47949- 1 1.13397- 3 1.10000+ 1 1.60000+ 1 5.64936- 3 1.16666- 3 1.10000+ 1 1.80000+ 1 3.05065- 3 1.17640- 3 1.10000+ 1 1.90000+ 1 8.19189- 3 1.17671- 3 1.30000+ 1 1.30000+ 1 1.13640- 2 1.22566- 3 1.30000+ 1 1.40000+ 1 2.26900- 1 1.22643- 3 1.30000+ 1 1.60000+ 1 4.34108- 4 1.25912- 3 1.30000+ 1 1.80000+ 1 1.68321- 4 1.26886- 3 1.30000+ 1 1.90000+ 1 2.90289- 3 1.26917- 3 1.40000+ 1 1.40000+ 1 1.53782- 1 1.22720- 3 1.40000+ 1 1.60000+ 1 5.07908- 4 1.25989- 3 1.40000+ 1 1.80000+ 1 1.52092- 3 1.26963- 3 1.40000+ 1 1.90000+ 1 4.66873- 3 1.26994- 3 1.60000+ 1 1.60000+ 1 2.36255- 5 1.29258- 3 1.60000+ 1 1.80000+ 1 5.90615- 6 1.30232- 3 1.60000+ 1 1.90000+ 1 1.71268- 4 1.30263- 3 1.80000+ 1 1.90000+ 1 7.67807- 5 1.31237- 3 1.90000+ 1 1.90000+ 1 1.12210- 4 1.31268- 3 1 33000 0 7 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30510- 5 5.30700- 5 1.10000+ 1 3.41950- 5 5.82400- 5 1.80000+ 1 5.39910- 6 1.93900- 4 1.90000+ 1 8.47180- 6 1.94210- 4 1 33000 0 9 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 4.90336- 2 1.75000- 6 1.00000+ 1 1.40000+ 1 2.17525- 2 2.52000- 6 1.00000+ 1 1.60000+ 1 9.19876- 2 3.52100- 5 1.00000+ 1 1.80000+ 1 2.33913- 2 4.49500- 5 1.00000+ 1 1.90000+ 1 5.71950- 2 4.52600- 5 1.10000+ 1 1.30000+ 1 5.86614- 2 6.92000- 6 1.10000+ 1 1.40000+ 1 1.36085- 1 7.69000- 6 1.10000+ 1 1.60000+ 1 1.65393- 1 4.03800- 5 1.10000+ 1 1.80000+ 1 5.62446- 2 5.01200- 5 1.10000+ 1 1.90000+ 1 8.98361- 2 5.04300- 5 1.30000+ 1 1.30000+ 1 9.29764- 3 9.93800- 5 1.30000+ 1 1.40000+ 1 3.88231- 2 1.00150- 4 1.30000+ 1 1.60000+ 1 6.46838- 2 1.32840- 4 1.30000+ 1 1.80000+ 1 3.06365- 3 1.42580- 4 1.30000+ 1 1.90000+ 1 2.75176- 3 1.42890- 4 1.40000+ 1 1.40000+ 1 2.27200- 2 1.00920- 4 1.40000+ 1 1.60000+ 1 9.59951- 2 1.33610- 4 1.40000+ 1 1.80000+ 1 1.44634- 3 1.43350- 4 1.40000+ 1 1.90000+ 1 6.63863- 3 1.43660- 4 1.60000+ 1 1.60000+ 1 2.05778- 3 1.66300- 4 1.60000+ 1 1.80000+ 1 9.50918- 4 1.76040- 4 1.60000+ 1 1.90000+ 1 1.80220- 3 1.76350- 4 1.80000+ 1 1.90000+ 1 7.42050- 5 1.86090- 4 1.90000+ 1 1.90000+ 1 5.35910- 5 1.86400- 4 1 33000 0 7 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 7.88572- 5 9.76300- 5 1.60000+ 1 1.29330- 5 1.31090- 4 1 33000 0 9 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.34402- 1 4.63100- 5 1.30000+ 1 1.40000+ 1 6.43634- 1 4.70800- 5 1.30000+ 1 1.60000+ 1 6.87471- 2 7.97700- 5 1.30000+ 1 1.80000+ 1 2.82964- 2 8.95100- 5 1.30000+ 1 1.90000+ 1 4.20236- 2 8.98200- 5 1.40000+ 1 1.40000+ 1 1.93011- 2 4.78500- 5 1.40000+ 1 1.60000+ 1 1.11385- 2 8.05400- 5 1.40000+ 1 1.80000+ 1 4.55047- 2 9.02800- 5 1.40000+ 1 1.90000+ 1 4.32698- 3 9.05900- 5 1.60000+ 1 1.60000+ 1 8.95721- 5 1.13230- 4 1.60000+ 1 1.80000+ 1 1.36224- 3 1.22970- 4 1.60000+ 1 1.90000+ 1 1.32295- 4 1.23280- 4 1.80000+ 1 1.90000+ 1 9.32223- 4 1.33020- 4 1.90000+ 1 1.90000+ 1 1.79141- 5 1.33330- 4 1 33000 0 7 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 6.99485- 6 9.24600- 5 1.40000+ 1 6.50115- 5 9.32300- 5 1.60000+ 1 9.36567- 6 1.25920- 4 1 33000 0 9 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 2.35221- 2 4.11400- 5 1.30000+ 1 1.40000+ 1 4.25302- 1 4.19100- 5 1.30000+ 1 1.60000+ 1 1.59034- 2 7.46000- 5 1.30000+ 1 1.80000+ 1 3.83864- 3 8.43400- 5 1.30000+ 1 1.90000+ 1 3.75074- 2 8.46500- 5 1.40000+ 1 1.40000+ 1 3.18188- 1 4.26800- 5 1.40000+ 1 1.60000+ 1 7.66233- 2 7.53700- 5 1.40000+ 1 1.80000+ 1 2.65141- 2 8.51100- 5 1.40000+ 1 1.90000+ 1 6.96985- 2 8.54200- 5 1.60000+ 1 1.60000+ 1 5.40078- 5 1.08060- 4 1.60000+ 1 1.80000+ 1 6.90088- 5 1.17800- 4 1.60000+ 1 1.90000+ 1 1.58120- 3 1.18110- 4 1.80000+ 1 1.90000+ 1 5.68574- 4 1.27850- 4 1.90000+ 1 1.90000+ 1 5.48304- 4 1.28160- 4 1 33000 0 7 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 4.24871- 7 4.32000- 5 1.90000+ 1 8.00472- 8 4.35100- 5 1 33000 0 9 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 4.14969- 1 1.56000- 5 1.60000+ 1 1.80000+ 1 2.08158- 1 2.53400- 5 1.60000+ 1 1.90000+ 1 2.09525- 1 2.56500- 5 1.80000+ 1 1.90000+ 1 1.50620- 1 3.53900- 5 1.90000+ 1 1.90000+ 1 1.67270- 2 3.57000- 5 1 33000 0 7 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 4.10922- 7 4.27400- 5 1 33000 0 9 7.49216+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 4.39262- 1 1.48300- 5 1.60000+ 1 1.80000+ 1 1.04650- 1 2.45700- 5 1.60000+ 1 1.90000+ 1 3.32552- 1 2.48800- 5 1.80000+ 1 1.90000+ 1 6.19813- 2 3.46200- 5 1.90000+ 1 1.90000+ 1 6.15543- 2 3.49300- 5 1 34000 0 0 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 1.33000+ 0 1.90000+ 1 2.67000+ 0 1 34000 0 0 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.26190- 2 3.00000+ 0 1.64150- 3 5.00000+ 0 1.48120- 3 6.00000+ 0 1.43860- 3 8.00000+ 0 2.26100- 4 1.00000+ 1 1.69770- 4 1.10000+ 1 1.63710- 4 1.30000+ 1 6.49100- 5 1.40000+ 1 6.39700- 5 1.60000+ 1 2.09900- 5 1.80000+ 1 9.82000- 6 1.90000+ 1 9.40000- 6 1 34000 0 0 7.89600+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.60690- 2 3.00000+ 0 3.19910- 3 5.00000+ 0 3.19290- 3 6.00000+ 0 3.03480- 3 8.00000+ 0 7.60150- 4 1.00000+ 1 7.08020- 4 1.10000+ 1 6.76730- 4 1.30000+ 1 5.55940- 4 1.40000+ 1 5.48720- 4 1.60000+ 1 1.10150- 4 1.80000+ 1 7.20800- 5 1.90000+ 1 6.81700- 5 1 34000 0 0 7.89600+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.32660-10 3.00000+ 0 1.02950- 9 5.00000+ 0 8.84300-10 6.00000+ 0 9.04380-10 8.00000+ 0 3.00280- 9 1.00000+ 1 3.03210- 9 1.10000+ 1 3.08580- 9 1.30000+ 1 3.20780- 9 1.40000+ 1 3.22830- 9 1.60000+ 1 9.15200- 9 1.80000+ 1 1.14650- 8 1.90000+ 1 1.17430- 8 1 34000 0 0 7.89600+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.30510- 6 3.00000+ 0 1.17000- 8 5.00000+ 0 1.71810- 8 6.00000+ 0 1.67790- 8 8.00000+ 0 7.78740-11 1.00000+ 1 1.92040-10 1.10000+ 1 1.72510-10 1.30000+ 1 2.23180-12 1.40000+ 1 2.09710-12 1 34000 0 0 7.89600+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.90410- 7 3.00000+ 0 8.02870- 6 5.00000+ 0 1.01200- 6 6.00000+ 0 9.86520- 7 8.00000+ 0 4.22990- 6 1.00000+ 1 3.86330- 6 1.10000+ 1 3.50600- 6 1.30000+ 1 6.45650- 8 1.40000+ 1 6.59990- 8 1 34000 0 0 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.21292- 4 3.00000+ 0 1.18874- 4 5.00000+ 0 8.67441- 5 6.00000+ 0 8.50122- 5 8.00000+ 0 6.98933- 5 1.00000+ 1 5.86900- 5 1.10000+ 1 5.79553- 5 1.30000+ 1 3.19032- 5 1.40000+ 1 3.22758- 5 1.60000+ 1 2.09900- 5 1.80000+ 1 9.82000- 6 1.90000+ 1 9.40000- 6 1 34000 0 7 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.07581- 1 3.00000+ 0 1.72238- 2 5.00000+ 0 1.85380- 2 6.00000+ 0 1.73777- 2 8.00000+ 0 1.57368- 4 1.00000+ 1 1.24274- 4 1.10000+ 1 1.10766- 4 1.30000+ 1 1.61492- 6 1.40000+ 1 1.32540- 6 1 34000 0 7 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.66392- 3 3.00000+ 0 2.32795- 5 5.00000+ 0 2.54169- 5 6.00000+ 0 2.31031- 5 8.00000+ 0 1.72470- 8 1.00000+ 1 1.36929- 8 1.10000+ 1 1.15684- 8 1.30000+ 1 8.90730-11 1.40000+ 1 7.23271-11 1 34000 0 9 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.64662+ 0 3.00000+ 0 6.47810+ 0 5.00000+ 0 4.48002+ 0 6.00000+ 0 4.35137+ 0 8.00000+ 0 3.43994+ 0 1.00000+ 1 2.71121+ 0 1.10000+ 1 2.66396+ 0 1.30000+ 1 9.99998- 1 1.40000+ 1 9.99999- 1 1 34000 0 9 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.83379- 3 3.00000+ 0 1.49935- 3 5.00000+ 0 1.36904- 3 6.00000+ 0 1.33048- 3 8.00000+ 0 1.56189- 4 1.00000+ 1 1.11066- 4 1.10000+ 1 1.05743- 4 1.30000+ 1 3.30067- 5 1.40000+ 1 3.16942- 5 1 34000 0 7 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.74701- 1 1.11378- 2 6.00000+ 0 3.37942- 1 1.11804- 2 1.00000+ 1 2.36001- 2 1.24492- 2 1.10000+ 1 4.60552- 2 1.24553- 2 1.30000+ 1 5.55973- 5 1.25541- 2 1.40000+ 1 7.99684- 5 1.25550- 2 1.80000+ 1 1.11901- 3 1.26092- 2 1.90000+ 1 2.15411- 3 1.26096- 2 1 34000 0 9 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 2.86240- 2 9.33600- 3 3.00000+ 0 5.00000+ 0 3.19353- 2 9.49630- 3 3.00000+ 0 6.00000+ 0 5.39449- 2 9.53890- 3 3.00000+ 0 8.00000+ 0 8.26751- 3 1.07514- 2 3.00000+ 0 1.00000+ 1 4.62411- 3 1.08077- 2 3.00000+ 0 1.10000+ 1 7.74754- 3 1.08138- 2 3.00000+ 0 1.30000+ 1 3.20067- 4 1.09126- 2 3.00000+ 0 1.40000+ 1 4.21265- 4 1.09135- 2 3.00000+ 0 1.60000+ 1 9.57695- 4 1.09565- 2 3.00000+ 0 1.80000+ 1 2.61875- 4 1.09677- 2 3.00000+ 0 1.90000+ 1 4.36455- 4 1.09681- 2 5.00000+ 0 5.00000+ 0 5.44091- 3 9.65660- 3 5.00000+ 0 6.00000+ 0 1.26052- 1 9.69920- 3 5.00000+ 0 8.00000+ 0 3.87253- 3 1.09117- 2 5.00000+ 0 1.00000+ 1 1.46121- 3 1.09680- 2 5.00000+ 0 1.10000+ 1 1.54562- 2 1.09741- 2 5.00000+ 0 1.30000+ 1 4.33932- 4 1.10729- 2 5.00000+ 0 1.40000+ 1 1.58012- 3 1.10738- 2 5.00000+ 0 1.60000+ 1 4.37740- 4 1.11168- 2 5.00000+ 0 1.80000+ 1 8.22318- 5 1.11280- 2 5.00000+ 0 1.90000+ 1 8.53951- 4 1.11284- 2 6.00000+ 0 6.00000+ 0 6.85911- 2 9.74180- 3 6.00000+ 0 8.00000+ 0 6.56604- 3 1.09543- 2 6.00000+ 0 1.00000+ 1 1.54325- 2 1.10106- 2 6.00000+ 0 1.10000+ 1 1.71393- 2 1.10167- 2 6.00000+ 0 1.30000+ 1 1.94709- 3 1.11155- 2 6.00000+ 0 1.40000+ 1 1.88390- 3 1.11164- 2 6.00000+ 0 1.60000+ 1 7.42669- 4 1.11594- 2 6.00000+ 0 1.80000+ 1 8.57805- 4 1.11706- 2 6.00000+ 0 1.90000+ 1 9.50129- 4 1.11710- 2 8.00000+ 0 8.00000+ 0 6.05996- 4 1.21668- 2 8.00000+ 0 1.00000+ 1 5.79996- 4 1.22231- 2 8.00000+ 0 1.10000+ 1 9.74027- 4 1.22292- 2 8.00000+ 0 1.30000+ 1 3.77115- 5 1.23280- 2 8.00000+ 0 1.40000+ 1 4.81147- 5 1.23289- 2 8.00000+ 0 1.60000+ 1 1.40439- 4 1.23719- 2 8.00000+ 0 1.80000+ 1 3.25104- 5 1.23831- 2 8.00000+ 0 1.90000+ 1 5.46158- 5 1.23835- 2 1.00000+ 1 1.00000+ 1 9.81717- 5 1.22795- 2 1.00000+ 1 1.10000+ 1 2.00457- 3 1.22855- 2 1.00000+ 1 1.30000+ 1 4.37813- 5 1.23843- 2 1.00000+ 1 1.40000+ 1 1.64502- 4 1.23853- 2 1.00000+ 1 1.60000+ 1 6.63329- 5 1.24282- 2 1.00000+ 1 1.80000+ 1 1.06133- 5 1.24394- 2 1.00000+ 1 1.90000+ 1 1.11441- 4 1.24398- 2 1.10000+ 1 1.10000+ 1 1.14738- 3 1.22916- 2 1.10000+ 1 1.30000+ 1 2.09988- 4 1.23904- 2 1.10000+ 1 1.40000+ 1 1.99145- 4 1.23913- 2 1.10000+ 1 1.60000+ 1 1.15154- 4 1.24343- 2 1.10000+ 1 1.80000+ 1 1.13798- 4 1.24455- 2 1.10000+ 1 1.90000+ 1 1.27341- 4 1.24459- 2 1.30000+ 1 1.40000+ 1 1.64466- 5 1.24901- 2 1.30000+ 1 1.60000+ 1 3.79533- 6 1.25331- 2 1.30000+ 1 1.80000+ 1 2.53019- 6 1.25443- 2 1.30000+ 1 1.90000+ 1 1.01210- 5 1.25447- 2 1.40000+ 1 1.40000+ 1 3.79530- 6 1.24911- 2 1.40000+ 1 1.60000+ 1 5.06042- 6 1.25340- 2 1.40000+ 1 1.80000+ 1 8.85544- 6 1.25452- 2 1.40000+ 1 1.90000+ 1 1.01210- 5 1.25456- 2 1.60000+ 1 1.60000+ 1 7.59026- 6 1.25770- 2 1.60000+ 1 1.80000+ 1 3.79528- 6 1.25882- 2 1.60000+ 1 1.90000+ 1 6.32555- 6 1.25886- 2 1.80000+ 1 1.90000+ 1 5.06052- 6 1.25998- 2 1.90000+ 1 1.90000+ 1 2.53021- 6 1.26002- 2 1 34000 0 7 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.44017- 5 1.60300- 4 6.00000+ 0 7.93759- 5 2.02900- 4 1.00000+ 1 9.53513- 4 1.47173- 3 1.10000+ 1 1.68825- 3 1.47779- 3 1.30000+ 1 4.78764- 6 1.57659- 3 1.40000+ 1 7.11894- 6 1.57753- 3 1.80000+ 1 4.80836- 5 1.63168- 3 1.90000+ 1 8.57302- 5 1.63210- 3 1 34000 0 9 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.30000+ 1 5.59359- 2 9.53900- 5 5.00000+ 0 1.40000+ 1 8.94797- 2 9.63300- 5 5.00000+ 0 1.60000+ 1 8.93292- 3 1.39310- 4 5.00000+ 0 1.80000+ 1 3.15270- 3 1.50480- 4 5.00000+ 0 1.90000+ 1 4.39708- 3 1.50900- 4 6.00000+ 0 1.00000+ 1 7.60445- 2 3.31300- 5 6.00000+ 0 1.10000+ 1 1.58202- 1 3.91900- 5 6.00000+ 0 1.30000+ 1 1.60232- 1 1.37990- 4 6.00000+ 0 1.40000+ 1 2.28382- 1 1.38930- 4 6.00000+ 0 1.60000+ 1 1.51664- 2 1.81910- 4 6.00000+ 0 1.80000+ 1 3.63510- 3 1.93080- 4 6.00000+ 0 1.90000+ 1 7.72150- 3 1.93500- 4 8.00000+ 0 8.00000+ 0 8.22446- 3 1.18930- 3 8.00000+ 0 1.00000+ 1 1.54976- 2 1.24563- 3 8.00000+ 0 1.10000+ 1 2.99145- 2 1.25169- 3 8.00000+ 0 1.30000+ 1 2.03338- 2 1.35049- 3 8.00000+ 0 1.40000+ 1 2.96988- 2 1.35143- 3 8.00000+ 0 1.60000+ 1 1.69706- 3 1.39441- 3 8.00000+ 0 1.80000+ 1 8.74457- 4 1.40558- 3 8.00000+ 0 1.90000+ 1 1.67827- 3 1.40600- 3 1.00000+ 1 1.00000+ 1 1.78196- 4 1.30196- 3 1.00000+ 1 1.10000+ 1 6.09039- 4 1.30802- 3 1.00000+ 1 1.30000+ 1 3.40590- 4 1.40682- 3 1.00000+ 1 1.40000+ 1 6.41588- 3 1.40776- 3 1.00000+ 1 1.60000+ 1 1.37668- 3 1.45074- 3 1.00000+ 1 1.80000+ 1 1.50374- 5 1.46191- 3 1.00000+ 1 1.90000+ 1 3.30835- 5 1.46233- 3 1.10000+ 1 1.10000+ 1 8.18233- 4 1.31408- 3 1.10000+ 1 1.30000+ 1 6.89220- 3 1.41288- 3 1.10000+ 1 1.40000+ 1 4.88190- 3 1.41382- 3 1.10000+ 1 1.60000+ 1 2.93787- 3 1.45680- 3 1.10000+ 1 1.80000+ 1 3.65510- 5 1.46797- 3 1.10000+ 1 1.90000+ 1 7.80824- 5 1.46839- 3 1.30000+ 1 1.30000+ 1 7.94754- 4 1.51168- 3 1.30000+ 1 1.40000+ 1 3.67561- 2 1.51262- 3 1.30000+ 1 1.60000+ 1 1.73459- 3 1.55560- 3 1.30000+ 1 1.80000+ 1 2.48122- 5 1.56677- 3 1.30000+ 1 1.90000+ 1 3.44366- 4 1.56719- 3 1.40000+ 1 1.40000+ 1 1.02015- 2 1.51356- 3 1.40000+ 1 1.60000+ 1 2.53742- 3 1.55654- 3 1.40000+ 1 1.80000+ 1 3.45855- 4 1.56771- 3 1.40000+ 1 1.90000+ 1 2.51121- 4 1.56813- 3 1.60000+ 1 1.60000+ 1 8.49589- 5 1.59952- 3 1.60000+ 1 1.80000+ 1 7.74406- 5 1.61069- 3 1.60000+ 1 1.90000+ 1 1.48867- 4 1.61111- 3 1.80000+ 1 1.90000+ 1 1.50368- 6 1.62228- 3 1.90000+ 1 1.90000+ 1 1.50368- 6 1.62270- 3 1 34000 0 7 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.30859- 9 4.26000- 5 8.00000+ 0 3.74707- 3 1.25510- 3 1.10000+ 1 2.22898- 5 1.31749- 3 1.30000+ 1 1.32429- 2 1.41629- 3 1.60000+ 1 1.55169- 4 1.46021- 3 1.90000+ 1 1.61999- 7 1.47180- 3 1 34000 0 9 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 2.22690- 2 2.16100- 5 6.00000+ 0 1.80000+ 1 3.63917- 2 3.27800- 5 6.00000+ 0 1.90000+ 1 1.45517- 2 3.32000- 5 8.00000+ 0 8.00000+ 0 2.35276- 3 1.02900- 3 8.00000+ 0 1.00000+ 1 4.58157- 2 1.08533- 3 8.00000+ 0 1.10000+ 1 4.07086- 3 1.09139- 3 8.00000+ 0 1.30000+ 1 2.27312- 3 1.19019- 3 8.00000+ 0 1.40000+ 1 5.89265- 3 1.19113- 3 8.00000+ 0 1.60000+ 1 4.64716- 4 1.23411- 3 8.00000+ 0 1.80000+ 1 2.03689- 3 1.24528- 3 8.00000+ 0 1.90000+ 1 2.09776- 4 1.24570- 3 1.00000+ 1 1.00000+ 1 4.16910- 2 1.14166- 3 1.00000+ 1 1.10000+ 1 1.40778- 1 1.14772- 3 1.00000+ 1 1.30000+ 1 6.33417- 2 1.24652- 3 1.00000+ 1 1.40000+ 1 1.17929- 1 1.24746- 3 1.00000+ 1 1.60000+ 1 5.40394- 3 1.29044- 3 1.00000+ 1 1.80000+ 1 4.24081- 3 1.30161- 3 1.00000+ 1 1.90000+ 1 7.77268- 3 1.30203- 3 1.10000+ 1 1.10000+ 1 3.88762- 3 1.15378- 3 1.10000+ 1 1.30000+ 1 7.77015- 2 1.25258- 3 1.10000+ 1 1.40000+ 1 1.10235- 2 1.25352- 3 1.10000+ 1 1.60000+ 1 4.24878- 4 1.29650- 3 1.10000+ 1 1.80000+ 1 6.41301- 3 1.30767- 3 1.10000+ 1 1.90000+ 1 3.79723- 4 1.30809- 3 1.30000+ 1 1.30000+ 1 6.16967- 2 1.35138- 3 1.30000+ 1 1.40000+ 1 2.76418- 1 1.35232- 3 1.30000+ 1 1.60000+ 1 2.75061- 4 1.39530- 3 1.30000+ 1 1.80000+ 1 2.82125- 3 1.40647- 3 1.30000+ 1 1.90000+ 1 4.08662- 3 1.40689- 3 1.40000+ 1 1.40000+ 1 1.33145- 2 1.35326- 3 1.40000+ 1 1.60000+ 1 6.34669- 4 1.39624- 3 1.40000+ 1 1.80000+ 1 5.01102- 3 1.40741- 3 1.40000+ 1 1.90000+ 1 5.49693- 4 1.40783- 3 1.60000+ 1 1.60000+ 1 2.39001- 5 1.43922- 3 1.60000+ 1 1.80000+ 1 2.41653- 4 1.45039- 3 1.60000+ 1 1.90000+ 1 2.12447- 5 1.45081- 3 1.80000+ 1 1.80000+ 1 9.55997- 5 1.46156- 3 1.80000+ 1 1.90000+ 1 3.18657- 4 1.46198- 3 1.90000+ 1 1.90000+ 1 7.96644- 6 1.46240- 3 1 34000 0 7 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.08913- 3 1.21250- 3 1.00000+ 1 1.22371- 5 1.26883- 3 1.10000+ 1 1.17321- 5 1.27489- 3 1.30000+ 1 1.18331- 3 1.37369- 3 1.40000+ 1 1.18471- 2 1.37463- 3 1.60000+ 1 1.36231- 4 1.41761- 3 1.80000+ 1 7.60566- 8 1.42878- 3 1.90000+ 1 7.22246- 8 1.42920- 3 1 34000 0 9 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.55892- 3 9.86400- 4 8.00000+ 0 1.00000+ 1 1.87850- 3 1.04273- 3 8.00000+ 0 1.10000+ 1 4.92855- 2 1.04879- 3 8.00000+ 0 1.30000+ 1 4.11208- 3 1.14759- 3 8.00000+ 0 1.40000+ 1 4.58923- 3 1.14853- 3 8.00000+ 0 1.60000+ 1 5.06887- 4 1.19151- 3 8.00000+ 0 1.80000+ 1 9.48739- 5 1.20268- 3 8.00000+ 0 1.90000+ 1 2.18752- 3 1.20310- 3 1.00000+ 1 1.00000+ 1 7.07458- 4 1.09906- 3 1.00000+ 1 1.10000+ 1 7.81555- 2 1.10512- 3 1.00000+ 1 1.30000+ 1 4.51308- 3 1.20392- 3 1.00000+ 1 1.40000+ 1 4.19894- 2 1.20486- 3 1.00000+ 1 1.60000+ 1 1.92458- 4 1.24784- 3 1.00000+ 1 1.80000+ 1 7.04749- 5 1.25901- 3 1.00000+ 1 1.90000+ 1 3.54264- 3 1.25943- 3 1.10000+ 1 1.10000+ 1 1.14045- 1 1.11118- 3 1.10000+ 1 1.30000+ 1 9.57743- 2 1.20998- 3 1.10000+ 1 1.40000+ 1 1.45659- 1 1.21092- 3 1.10000+ 1 1.60000+ 1 5.76277- 3 1.25390- 3 1.10000+ 1 1.80000+ 1 4.29100- 3 1.26507- 3 1.10000+ 1 1.90000+ 1 1.14605- 2 1.26549- 3 1.30000+ 1 1.30000+ 1 1.15175- 2 1.30878- 3 1.30000+ 1 1.40000+ 1 2.29262- 1 1.30972- 3 1.30000+ 1 1.60000+ 1 4.52677- 4 1.35270- 3 1.30000+ 1 1.80000+ 1 2.46662- 4 1.36387- 3 1.30000+ 1 1.90000+ 1 4.16356- 3 1.36429- 3 1.40000+ 1 1.40000+ 1 1.55503- 1 1.31066- 3 1.40000+ 1 1.60000+ 1 5.25855- 4 1.35364- 3 1.40000+ 1 1.80000+ 1 2.20916- 3 1.36481- 3 1.40000+ 1 1.90000+ 1 6.73312- 3 1.36523- 3 1.60000+ 1 1.60000+ 1 2.43961- 5 1.39662- 3 1.60000+ 1 1.80000+ 1 1.08428- 5 1.40779- 3 1.60000+ 1 1.90000+ 1 2.57503- 4 1.40821- 3 1.80000+ 1 1.80000+ 1 2.71068- 6 1.41896- 3 1.80000+ 1 1.90000+ 1 1.76191- 4 1.41938- 3 1.90000+ 1 1.90000+ 1 2.57502- 4 1.41980- 3 1 34000 0 7 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.29342- 5 5.63300- 5 1.10000+ 1 3.40875- 5 6.23900- 5 1.80000+ 1 9.43951- 6 2.16280- 4 1.90000+ 1 1.48014- 5 2.16700- 4 1 34000 0 9 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.30000+ 1 3.96532- 2 0.00000+ 0 1.00000+ 1 1.40000+ 1 3.41851- 3 0.00000+ 0 1.00000+ 1 1.60000+ 1 9.32644- 2 3.53400- 5 1.00000+ 1 1.80000+ 1 3.53839- 2 4.65100- 5 1.00000+ 1 1.90000+ 1 8.38108- 2 4.69300- 5 1.10000+ 1 1.30000+ 1 1.68442- 2 0.00000+ 0 1.10000+ 1 1.40000+ 1 8.76458- 2 0.00000+ 0 1.10000+ 1 1.60000+ 1 1.66447- 1 4.14000- 5 1.10000+ 1 1.80000+ 1 8.20923- 2 5.25700- 5 1.10000+ 1 1.90000+ 1 1.31663- 1 5.29900- 5 1.30000+ 1 1.30000+ 1 1.01395- 2 9.62800- 5 1.30000+ 1 1.40000+ 1 3.09286- 2 9.72200- 5 1.30000+ 1 1.60000+ 1 6.52701- 2 1.40200- 4 1.30000+ 1 1.80000+ 1 4.54804- 3 1.51370- 4 1.30000+ 1 1.90000+ 1 3.95417- 3 1.51790- 4 1.40000+ 1 1.40000+ 1 2.18950- 2 9.81600- 5 1.40000+ 1 1.60000+ 1 9.68589- 2 1.41140- 4 1.40000+ 1 1.80000+ 1 2.02375- 3 1.52310- 4 1.40000+ 1 1.90000+ 1 9.74276- 3 1.52730- 4 1.60000+ 1 1.60000+ 1 4.50800- 3 1.84120- 4 1.60000+ 1 1.80000+ 1 3.00964- 3 1.95290- 4 1.60000+ 1 1.90000+ 1 5.69941- 3 1.95710- 4 1.80000+ 1 1.80000+ 1 1.15205- 4 2.06460- 4 1.80000+ 1 1.90000+ 1 6.99888- 4 2.06880- 4 1.90000+ 1 1.90000+ 1 3.13511- 4 2.07300- 4 1 34000 0 7 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.03740- 4 1.04860- 4 1.60000+ 1 1.79729- 5 1.48780- 4 1 34000 0 9 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.25731- 1 3.99500- 5 1.30000+ 1 1.40000+ 1 5.71959- 1 4.08900- 5 1.30000+ 1 1.60000+ 1 7.71506- 2 8.38700- 5 1.30000+ 1 1.80000+ 1 4.46168- 2 9.50400- 5 1.30000+ 1 1.90000+ 1 6.66993- 2 9.54600- 5 1.40000+ 1 1.40000+ 1 1.88310- 2 4.18300- 5 1.40000+ 1 1.60000+ 1 1.23953- 2 8.48100- 5 1.40000+ 1 1.80000+ 1 7.05102- 2 9.59800- 5 1.40000+ 1 1.90000+ 1 6.81313- 3 9.64000- 5 1.60000+ 1 1.60000+ 1 1.30992- 4 1.27790- 4 1.60000+ 1 1.80000+ 1 2.22967- 3 1.38960- 4 1.60000+ 1 1.90000+ 1 2.35226- 4 1.39380- 4 1.80000+ 1 1.80000+ 1 3.32411- 4 1.50130- 4 1.80000+ 1 1.90000+ 1 2.19308- 3 1.50550- 4 1.90000+ 1 1.90000+ 1 5.07078- 5 1.50970- 4 1 34000 0 7 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 9.06327- 6 9.88000- 5 1.40000+ 1 8.45897- 5 9.97400- 5 1.60000+ 1 1.47660- 5 1.42720- 4 1 34000 0 9 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 2.31477- 2 3.38900- 5 1.30000+ 1 1.40000+ 1 3.60711- 1 3.48300- 5 1.30000+ 1 1.60000+ 1 1.79650- 2 7.78100- 5 1.30000+ 1 1.80000+ 1 6.27576- 3 8.89800- 5 1.30000+ 1 1.90000+ 1 5.89988- 2 8.94000- 5 1.40000+ 1 1.40000+ 1 2.86054- 1 3.57700- 5 1.40000+ 1 1.60000+ 1 8.70133- 2 7.87500- 5 1.40000+ 1 1.80000+ 1 4.29477- 2 8.99200- 5 1.40000+ 1 1.90000+ 1 1.10953- 1 9.03400- 5 1.60000+ 1 1.60000+ 1 8.69148- 5 1.21730- 4 1.60000+ 1 1.80000+ 1 1.21062- 4 1.32900- 4 1.60000+ 1 1.90000+ 1 2.62691- 3 1.33320- 4 1.80000+ 1 1.80000+ 1 7.76050- 6 1.44070- 4 1.80000+ 1 1.90000+ 1 1.34564- 3 1.44490- 4 1.90000+ 1 1.90000+ 1 1.63659- 3 1.44910- 4 1 34000 0 7 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.36030- 6 5.50900- 5 1.90000+ 1 2.54620- 7 5.55100- 5 1 34000 0 9 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 3.01347- 1 2.29300- 5 1.60000+ 1 1.80000+ 1 2.43812- 1 3.41000- 5 1.60000+ 1 1.90000+ 1 2.68282- 1 3.45200- 5 1.80000+ 1 1.80000+ 1 3.11408- 2 4.52700- 5 1.80000+ 1 1.90000+ 1 1.29309- 1 4.56900- 5 1.90000+ 1 1.90000+ 1 2.61070- 2 4.61100- 5 1 34000 0 7 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.32540- 6 5.45700- 5 1 34000 0 9 7.89600+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 3.14907- 1 2.19900- 5 1.60000+ 1 1.80000+ 1 1.34483- 1 3.31600- 5 1.60000+ 1 1.90000+ 1 3.90750- 1 3.35800- 5 1.80000+ 1 1.80000+ 1 4.71399- 3 4.43300- 5 1.80000+ 1 1.90000+ 1 6.74690- 2 4.47500- 5 1.90000+ 1 1.90000+ 1 8.76760- 2 4.51700- 5 1 35000 0 0 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 1.67000+ 0 1.90000+ 1 3.33000+ 0 1 35000 0 0 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.34350- 2 3.00000+ 0 1.76920- 3 5.00000+ 0 1.60210- 3 6.00000+ 0 1.55360- 3 8.00000+ 0 2.51490- 4 1.00000+ 1 1.91820- 4 1.10000+ 1 1.84780- 4 1.30000+ 1 7.95900- 5 1.40000+ 1 7.84500- 5 1.60000+ 1 2.41800- 5 1.80000+ 1 1.15900- 5 1.90000+ 1 1.10300- 5 1 35000 0 0 7.99040+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.70880- 2 3.00000+ 0 3.42360- 3 5.00000+ 0 3.41840- 3 6.00000+ 0 3.23920- 3 8.00000+ 0 8.26690- 4 1.00000+ 1 7.73910- 4 1.10000+ 1 7.38160- 4 1.30000+ 1 6.19040- 4 1.40000+ 1 6.10750- 4 1.60000+ 1 1.28530- 4 1.80000+ 1 8.79900- 5 1.90000+ 1 8.30700- 5 1 35000 0 0 7.99040+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.25630-10 3.00000+ 0 9.95900-10 5.00000+ 0 8.54180-10 6.00000+ 0 8.74650-10 8.00000+ 0 2.88500- 9 1.00000+ 1 2.90120- 9 1.10000+ 1 2.95450- 9 1.30000+ 1 3.01400- 9 1.40000+ 1 3.03410- 9 1.60000+ 1 8.56110- 9 1.80000+ 1 1.04760- 8 1.90000+ 1 1.07350- 8 1 35000 0 0 7.99040+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.48580- 6 3.00000+ 0 1.40320- 8 5.00000+ 0 2.07040- 8 6.00000+ 0 2.02040- 8 8.00000+ 0 1.06070-10 1.00000+ 1 2.16620-10 1.10000+ 1 1.93180-10 1.30000+ 1 4.22970-12 1.40000+ 1 3.96380-12 1 35000 0 0 7.99040+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.10440- 7 3.00000+ 0 8.22300- 6 5.00000+ 0 1.10460- 6 6.00000+ 0 1.06600- 6 8.00000+ 0 4.35830- 6 1.00000+ 1 3.74470- 6 1.10000+ 1 3.34050- 6 1.30000+ 1 6.84590- 8 1.40000+ 1 7.00450- 8 1 35000 0 0 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.27480- 4 3.00000+ 0 1.28177- 4 5.00000+ 0 9.37053- 5 6.00000+ 0 9.14055- 5 8.00000+ 0 7.27014- 5 1.00000+ 1 6.33572- 5 1.10000+ 1 6.18063- 5 1.30000+ 1 3.57275- 5 1.40000+ 1 3.57755- 5 1.60000+ 1 2.41800- 5 1.80000+ 1 1.15900- 5 1.90000+ 1 1.10300- 5 1 35000 0 7 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.36779- 1 3.00000+ 0 1.92956- 2 5.00000+ 0 2.08776- 2 6.00000+ 0 1.95097- 2 8.00000+ 0 1.95666- 4 1.00000+ 1 1.63390- 4 1.10000+ 1 1.46036- 4 1.30000+ 1 3.98738- 6 1.40000+ 1 3.29938- 6 1 35000 0 7 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.41560- 3 3.00000+ 0 2.80469- 5 5.00000+ 0 3.08527- 5 6.00000+ 0 2.79057- 5 8.00000+ 0 2.47392- 8 1.00000+ 1 1.94226- 8 1.10000+ 1 1.65178- 8 1.30000+ 1 2.71492-10 1.40000+ 1 2.22444-10 1 35000 0 9 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.24944+ 0 3.00000+ 0 6.26822+ 0 5.00000+ 0 4.33369+ 0 6.00000+ 0 4.19208+ 0 8.00000+ 0 3.15099+ 0 1.00000+ 1 2.61169+ 0 1.10000+ 1 2.53973+ 0 1.30000+ 1 9.99996- 1 1.40000+ 1 9.99997- 1 1 35000 0 9 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.89192- 3 3.00000+ 0 1.61298- 3 5.00000+ 0 1.47754- 3 6.00000+ 0 1.43429- 3 8.00000+ 0 1.78764- 4 1.00000+ 1 1.28443- 4 1.10000+ 1 1.22957- 4 1.30000+ 1 4.38622- 5 1.40000+ 1 4.26743- 5 1 35000 0 7 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.82072- 1 1.18329- 2 6.00000+ 0 3.51534- 1 1.18814- 2 1.00000+ 1 2.51133- 2 1.32432- 2 1.10000+ 1 4.89996- 2 1.32502- 2 1.30000+ 1 6.60448- 5 1.33554- 2 1.40000+ 1 9.48212- 5 1.33565- 2 1.80000+ 1 1.67432- 3 1.34234- 2 1.90000+ 1 3.22224- 3 1.34240- 2 1 35000 0 9 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 2.67974- 2 9.89660- 3 3.00000+ 0 5.00000+ 0 2.99306- 2 1.00637- 2 3.00000+ 0 6.00000+ 0 4.99645- 2 1.01122- 2 3.00000+ 0 8.00000+ 0 7.86075- 3 1.14143- 2 3.00000+ 0 1.00000+ 1 4.42909- 3 1.14740- 2 3.00000+ 0 1.10000+ 1 7.33790- 3 1.14810- 2 3.00000+ 0 1.30000+ 1 3.18089- 4 1.15862- 2 3.00000+ 0 1.40000+ 1 4.15274- 4 1.15873- 2 3.00000+ 0 1.60000+ 1 9.67001- 4 1.16416- 2 3.00000+ 0 1.80000+ 1 3.41232- 4 1.16542- 2 3.00000+ 0 1.90000+ 1 5.59865- 4 1.16548- 2 5.00000+ 0 5.00000+ 0 5.04687- 3 1.02308- 2 5.00000+ 0 6.00000+ 0 1.16418- 1 1.02793- 2 5.00000+ 0 8.00000+ 0 3.67835- 3 1.15814- 2 5.00000+ 0 1.00000+ 1 1.38227- 3 1.16411- 2 5.00000+ 0 1.10000+ 1 1.45724- 2 1.16481- 2 5.00000+ 0 1.30000+ 1 4.29136- 4 1.17533- 2 5.00000+ 0 1.40000+ 1 1.55696- 3 1.17544- 2 5.00000+ 0 1.60000+ 1 4.40707- 4 1.18087- 2 5.00000+ 0 1.80000+ 1 1.05265- 4 1.18213- 2 5.00000+ 0 1.90000+ 1 1.09197- 3 1.18219- 2 6.00000+ 0 6.00000+ 0 6.31223- 2 1.03278- 2 6.00000+ 0 8.00000+ 0 6.16168- 3 1.16299- 2 6.00000+ 0 1.00000+ 1 1.45364- 2 1.16896- 2 6.00000+ 0 1.10000+ 1 1.61080- 2 1.16966- 2 6.00000+ 0 1.30000+ 1 1.91546- 3 1.18018- 2 6.00000+ 0 1.40000+ 1 1.85069- 3 1.18029- 2 6.00000+ 0 1.60000+ 1 7.39164- 4 1.18572- 2 6.00000+ 0 1.80000+ 1 1.09774- 3 1.18698- 2 6.00000+ 0 1.90000+ 1 1.20988- 3 1.18704- 2 8.00000+ 0 8.00000+ 0 5.79069- 4 1.29320- 2 8.00000+ 0 1.00000+ 1 5.57886- 4 1.29917- 2 8.00000+ 0 1.10000+ 1 9.25090- 4 1.29987- 2 8.00000+ 0 1.30000+ 1 3.76614- 5 1.31039- 2 8.00000+ 0 1.40000+ 1 4.82506- 5 1.31051- 2 8.00000+ 0 1.60000+ 1 1.42414- 4 1.31593- 2 8.00000+ 0 1.80000+ 1 4.35452- 5 1.31719- 2 8.00000+ 0 1.90000+ 1 7.06144- 5 1.31725- 2 1.00000+ 1 1.00000+ 1 9.31028- 5 1.30514- 2 1.00000+ 1 1.10000+ 1 1.89792- 3 1.30584- 2 1.00000+ 1 1.30000+ 1 4.29733- 5 1.31636- 2 1.00000+ 1 1.40000+ 1 1.62337- 4 1.31647- 2 1.00000+ 1 1.60000+ 1 6.80374- 5 1.32190- 2 1.00000+ 1 1.80000+ 1 1.43238- 5 1.32316- 2 1.00000+ 1 1.90000+ 1 1.42039- 4 1.32321- 2 1.10000+ 1 1.10000+ 1 1.07812- 3 1.30654- 2 1.10000+ 1 1.30000+ 1 2.05929- 4 1.31706- 2 1.10000+ 1 1.40000+ 1 1.95027- 4 1.31718- 2 1.10000+ 1 1.60000+ 1 1.13861- 4 1.32260- 2 1.10000+ 1 1.80000+ 1 1.45361- 4 1.32386- 2 1.10000+ 1 1.90000+ 1 1.62322- 4 1.32392- 2 1.30000+ 1 1.40000+ 1 1.73518- 5 1.32770- 2 1.30000+ 1 1.60000+ 1 4.62706- 6 1.33312- 2 1.30000+ 1 1.80000+ 1 3.47027- 6 1.33438- 2 1.30000+ 1 1.90000+ 1 1.38813- 5 1.33444- 2 1.40000+ 1 1.40000+ 1 4.62689- 6 1.32781- 2 1.40000+ 1 1.60000+ 1 5.78333- 6 1.33324- 2 1.40000+ 1 1.80000+ 1 1.15674- 5 1.33450- 2 1.40000+ 1 1.90000+ 1 1.38808- 5 1.33455- 2 1.60000+ 1 1.60000+ 1 8.09713- 6 1.33866- 2 1.60000+ 1 1.80000+ 1 4.62701- 6 1.33992- 2 1.60000+ 1 1.90000+ 1 8.09713- 6 1.33998- 2 1.80000+ 1 1.90000+ 1 1.04111- 5 1.34124- 2 1.90000+ 1 1.90000+ 1 5.78347- 6 1.34129- 2 1 35000 0 7 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.42686- 5 1.67100- 4 6.00000+ 0 8.04171- 5 2.15600- 4 1.00000+ 1 1.02582- 3 1.57738- 3 1.10000+ 1 1.83441- 3 1.58442- 3 1.30000+ 1 5.59093- 6 1.68961- 3 1.40000+ 1 8.31591- 6 1.69075- 3 1.80000+ 1 7.28638- 5 1.75761- 3 1.90000+ 1 1.29402- 4 1.75817- 3 1 35000 0 9 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.30000+ 1 5.22921- 2 8.75100- 5 5.00000+ 0 1.40000+ 1 8.34756- 2 8.86500- 5 5.00000+ 0 1.60000+ 1 9.47382- 3 1.42920- 4 5.00000+ 0 1.80000+ 1 4.30534- 3 1.55510- 4 5.00000+ 0 1.90000+ 1 5.98302- 3 1.56070- 4 6.00000+ 0 1.00000+ 1 7.78173- 2 2.37800- 5 6.00000+ 0 1.10000+ 1 1.58458- 1 3.08200- 5 6.00000+ 0 1.30000+ 1 1.60186- 1 1.36010- 4 6.00000+ 0 1.40000+ 1 2.28694- 1 1.37150- 4 6.00000+ 0 1.60000+ 1 1.59162- 2 1.91420- 4 6.00000+ 0 1.80000+ 1 4.89463- 3 2.04010- 4 6.00000+ 0 1.90000+ 1 1.03137- 2 2.04570- 4 8.00000+ 0 8.00000+ 0 7.88243- 3 1.26622- 3 8.00000+ 0 1.00000+ 1 1.49389- 2 1.32589- 3 8.00000+ 0 1.10000+ 1 2.87954- 2 1.33293- 3 8.00000+ 0 1.30000+ 1 2.00906- 2 1.43812- 3 8.00000+ 0 1.40000+ 1 2.93171- 2 1.43926- 3 8.00000+ 0 1.60000+ 1 1.72472- 3 1.49353- 3 8.00000+ 0 1.80000+ 1 1.14677- 3 1.50612- 3 8.00000+ 0 1.90000+ 1 2.19394- 3 1.50668- 3 1.00000+ 1 1.00000+ 1 1.65315- 4 1.38556- 3 1.00000+ 1 1.10000+ 1 6.01022- 4 1.39260- 3 1.00000+ 1 1.30000+ 1 3.46737- 4 1.49779- 3 1.00000+ 1 1.40000+ 1 6.40781- 3 1.49893- 3 1.00000+ 1 1.60000+ 1 1.40027- 3 1.55320- 3 1.00000+ 1 1.80000+ 1 1.89132- 5 1.56579- 3 1.00000+ 1 1.90000+ 1 4.41329- 5 1.56635- 3 1.10000+ 1 1.10000+ 1 7.85672- 4 1.39964- 3 1.10000+ 1 1.30000+ 1 6.78075- 3 1.50483- 3 1.10000+ 1 1.40000+ 1 4.79667- 3 1.50597- 3 1.10000+ 1 1.60000+ 1 2.97726- 3 1.56024- 3 1.10000+ 1 1.80000+ 1 4.94424- 5 1.57283- 3 1.10000+ 1 1.90000+ 1 1.01203- 4 1.57339- 3 1.30000+ 1 1.30000+ 1 8.18843- 4 1.61002- 3 1.30000+ 1 1.40000+ 1 3.71518- 2 1.61116- 3 1.30000+ 1 1.60000+ 1 1.80584- 3 1.66543- 3 1.30000+ 1 1.80000+ 1 3.43211- 5 1.67802- 3 1.30000+ 1 1.90000+ 1 4.60195- 4 1.67858- 3 1.40000+ 1 1.40000+ 1 1.03294- 2 1.61230- 3 1.40000+ 1 1.60000+ 1 2.63870- 3 1.66657- 3 1.40000+ 1 1.80000+ 1 4.68625- 4 1.67916- 3 1.40000+ 1 1.90000+ 1 3.36242- 4 1.67972- 3 1.60000+ 1 1.60000+ 1 9.17626- 5 1.72084- 3 1.60000+ 1 1.80000+ 1 1.07174- 4 1.73343- 3 1.60000+ 1 1.90000+ 1 2.05243- 4 1.73399- 3 1.80000+ 1 1.80000+ 1 5.18016- 7 1.74602- 3 1.80000+ 1 1.90000+ 1 2.58998- 6 1.74658- 3 1.90000+ 1 1.90000+ 1 2.80170- 6 1.74714- 3 1 35000 0 7 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.53560- 9 4.85000- 5 8.00000+ 0 3.55419- 3 1.35061- 3 1.10000+ 1 2.28709- 5 1.41732- 3 1.30000+ 1 1.53540- 2 1.52251- 3 1.60000+ 1 1.61099- 4 1.57792- 3 1.90000+ 1 2.51959- 7 1.59107- 3 1 35000 0 9 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 2.12782- 2 2.43200- 5 6.00000+ 0 1.80000+ 1 4.56678- 2 3.69100- 5 6.00000+ 0 1.90000+ 1 1.81328- 2 3.74700- 5 8.00000+ 0 8.00000+ 0 2.19109- 3 1.09912- 3 8.00000+ 0 1.00000+ 1 4.31400- 2 1.15879- 3 8.00000+ 0 1.10000+ 1 3.86845- 3 1.16583- 3 8.00000+ 0 1.30000+ 1 2.15961- 3 1.27102- 3 8.00000+ 0 1.40000+ 1 5.67422- 3 1.27216- 3 8.00000+ 0 1.60000+ 1 4.58103- 4 1.32643- 3 8.00000+ 0 1.80000+ 1 2.56928- 3 1.33902- 3 8.00000+ 0 1.90000+ 1 2.69046- 4 1.33958- 3 1.00000+ 1 1.00000+ 1 3.95066- 2 1.21846- 3 1.00000+ 1 1.10000+ 1 1.32975- 1 1.22550- 3 1.00000+ 1 1.30000+ 1 6.14586- 2 1.33069- 3 1.00000+ 1 1.40000+ 1 1.13910- 1 1.33183- 3 1.00000+ 1 1.60000+ 1 5.40279- 3 1.38610- 3 1.00000+ 1 1.80000+ 1 5.43176- 3 1.39869- 3 1.00000+ 1 1.90000+ 1 9.95448- 3 1.39925- 3 1.10000+ 1 1.10000+ 1 3.66000- 3 1.23254- 3 1.10000+ 1 1.30000+ 1 7.56137- 2 1.33773- 3 1.10000+ 1 1.40000+ 1 1.06581- 2 1.33887- 3 1.10000+ 1 1.60000+ 1 4.26593- 4 1.39314- 3 1.10000+ 1 1.80000+ 1 8.14394- 3 1.40573- 3 1.10000+ 1 1.90000+ 1 4.82334- 4 1.40629- 3 1.30000+ 1 1.30000+ 1 6.14910- 2 1.44292- 3 1.30000+ 1 1.40000+ 1 2.74803- 1 1.44406- 3 1.30000+ 1 1.60000+ 1 2.81142- 4 1.49833- 3 1.30000+ 1 1.80000+ 1 3.70514- 3 1.51092- 3 1.30000+ 1 1.90000+ 1 5.40881- 3 1.51148- 3 1.40000+ 1 1.40000+ 1 1.31736- 2 1.44520- 3 1.40000+ 1 1.60000+ 1 6.47143- 4 1.49947- 3 1.40000+ 1 1.80000+ 1 6.48837- 3 1.51206- 3 1.40000+ 1 1.90000+ 1 7.19852- 4 1.51262- 3 1.60000+ 1 1.60000+ 1 2.42387- 5 1.55374- 3 1.60000+ 1 1.80000+ 1 3.22355- 4 1.56633- 3 1.60000+ 1 1.90000+ 1 2.90851- 5 1.56689- 3 1.80000+ 1 1.80000+ 1 1.76936- 4 1.57892- 3 1.80000+ 1 1.90000+ 1 5.86561- 4 1.57948- 3 1.90000+ 1 1.90000+ 1 1.85899- 5 1.58004- 3 1 35000 0 7 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.07397- 3 1.30211- 3 1.00000+ 1 1.30469- 5 1.36178- 3 1.10000+ 1 1.24819- 5 1.36882- 3 1.30000+ 1 1.40269- 3 1.47401- 3 1.40000+ 1 1.37369- 2 1.47515- 3 1.60000+ 1 1.43649- 4 1.52942- 3 1.80000+ 1 1.20339- 7 1.54201- 3 1.90000+ 1 1.14209- 7 1.54257- 3 1 35000 0 9 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.42049- 3 1.05062- 3 8.00000+ 0 1.00000+ 1 1.78971- 3 1.11029- 3 8.00000+ 0 1.10000+ 1 4.69531- 2 1.11733- 3 8.00000+ 0 1.30000+ 1 4.00748- 3 1.22252- 3 8.00000+ 0 1.40000+ 1 4.41544- 3 1.22366- 3 8.00000+ 0 1.60000+ 1 5.05631- 4 1.27793- 3 8.00000+ 0 1.80000+ 1 1.22649- 4 1.29052- 3 8.00000+ 0 1.90000+ 1 2.80098- 3 1.29108- 3 1.00000+ 1 1.00000+ 1 6.70866- 4 1.16996- 3 1.00000+ 1 1.10000+ 1 7.48914- 2 1.17700- 3 1.00000+ 1 1.30000+ 1 4.46321- 3 1.28219- 3 1.00000+ 1 1.40000+ 1 4.13497- 2 1.28333- 3 1.00000+ 1 1.60000+ 1 1.95247- 4 1.33760- 3 1.00000+ 1 1.80000+ 1 9.01156- 5 1.35019- 3 1.00000+ 1 1.90000+ 1 4.56843- 3 1.35075- 3 1.10000+ 1 1.10000+ 1 1.09143- 1 1.18404- 3 1.10000+ 1 1.30000+ 1 9.40798- 2 1.28923- 3 1.10000+ 1 1.40000+ 1 1.43325- 1 1.29037- 3 1.10000+ 1 1.60000+ 1 5.84243- 3 1.34464- 3 1.10000+ 1 1.80000+ 1 5.58953- 3 1.35723- 3 1.10000+ 1 1.90000+ 1 1.48271- 2 1.35779- 3 1.30000+ 1 1.30000+ 1 1.16167- 2 1.39442- 3 1.30000+ 1 1.40000+ 1 2.30556- 1 1.39556- 3 1.30000+ 1 1.60000+ 1 4.70595- 4 1.44983- 3 1.30000+ 1 1.80000+ 1 3.32915- 4 1.46242- 3 1.30000+ 1 1.90000+ 1 5.49193- 3 1.46298- 3 1.40000+ 1 1.40000+ 1 1.56483- 1 1.39670- 3 1.40000+ 1 1.60000+ 1 5.38175- 4 1.45097- 3 1.40000+ 1 1.80000+ 1 2.94872- 3 1.46356- 3 1.40000+ 1 1.90000+ 1 8.92880- 3 1.46412- 3 1.60000+ 1 1.60000+ 1 2.75347- 5 1.50524- 3 1.60000+ 1 1.80000+ 1 1.25159- 5 1.51783- 3 1.60000+ 1 1.90000+ 1 3.50436- 4 1.51839- 3 1.80000+ 1 1.80000+ 1 2.50317- 6 1.53042- 3 1.80000+ 1 1.90000+ 1 3.27914- 4 1.53098- 3 1.90000+ 1 1.90000+ 1 4.78096- 4 1.53154- 3 1 35000 0 7 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.28640- 5 5.96700- 5 1.10000+ 1 3.42006- 5 6.67100- 5 1.80000+ 1 1.43636- 5 2.39900- 4 1.90000+ 1 2.24554- 5 2.40460- 4 1 35000 0 9 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 9.69691- 2 3.54900- 5 1.00000+ 1 1.80000+ 1 4.99921- 2 4.80800- 5 1.00000+ 1 1.90000+ 1 1.15798- 1 4.86400- 5 1.10000+ 1 1.60000+ 1 1.71048- 1 4.25300- 5 1.10000+ 1 1.80000+ 1 1.12436- 1 5.51200- 5 1.10000+ 1 1.90000+ 1 1.80935- 1 5.56800- 5 1.30000+ 1 1.30000+ 1 1.03379- 2 9.23100- 5 1.30000+ 1 1.40000+ 1 2.32724- 2 9.34500- 5 1.30000+ 1 1.60000+ 1 6.15730- 2 1.47720- 4 1.30000+ 1 1.80000+ 1 5.79510- 3 1.60310- 4 1.30000+ 1 1.90000+ 1 4.89132- 3 1.60870- 4 1.40000+ 1 1.40000+ 1 2.01035- 2 9.45900- 5 1.40000+ 1 1.60000+ 1 9.08770- 2 1.48860- 4 1.40000+ 1 1.80000+ 1 2.43116- 3 1.61450- 4 1.40000+ 1 1.90000+ 1 1.22081- 2 1.62010- 4 1.60000+ 1 1.60000+ 1 1.04319- 2 2.03130- 4 1.60000+ 1 1.80000+ 1 9.23322- 3 2.15720- 4 1.60000+ 1 1.90000+ 1 1.74468- 2 2.16280- 4 1.80000+ 1 1.80000+ 1 6.20954- 4 2.28310- 4 1.80000+ 1 1.90000+ 1 2.23054- 3 2.28870- 4 1.90000+ 1 1.90000+ 1 1.28490- 3 2.29430- 4 1 35000 0 7 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.33030- 4 1.12230- 4 1.60000+ 1 2.43780- 5 1.67640- 4 1 35000 0 9 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.15578- 1 3.26400- 5 1.30000+ 1 1.40000+ 1 4.87312- 1 3.37800- 5 1.30000+ 1 1.60000+ 1 8.57756- 2 8.80500- 5 1.30000+ 1 1.80000+ 1 6.41618- 2 1.00640- 4 1.30000+ 1 1.90000+ 1 9.63036- 2 1.01200- 4 1.40000+ 1 1.40000+ 1 1.82523- 2 3.49200- 5 1.40000+ 1 1.60000+ 1 1.37437- 2 8.91900- 5 1.40000+ 1 1.80000+ 1 9.97009- 2 1.01780- 4 1.40000+ 1 1.90000+ 1 9.75321- 3 1.02340- 4 1.60000+ 1 1.60000+ 1 1.77273- 4 1.43460- 4 1.60000+ 1 1.80000+ 1 3.29619- 3 1.56050- 4 1.60000+ 1 1.90000+ 1 3.76344- 4 1.56610- 4 1.80000+ 1 1.80000+ 1 1.04180- 3 1.68640- 4 1.80000+ 1 1.90000+ 1 4.26280- 3 1.69200- 4 1.90000+ 1 1.90000+ 1 1.07520- 4 1.69760- 4 1 35000 0 7 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.14041- 5 1.05190- 4 1.40000+ 1 1.06931- 4 1.06330- 4 1.60000+ 1 2.23162- 5 1.60600- 4 1 35000 0 9 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 2.25290- 2 2.56000- 5 1.30000+ 1 1.40000+ 1 2.83155- 1 2.67400- 5 1.30000+ 1 1.60000+ 1 2.02982- 2 8.10100- 5 1.30000+ 1 1.80000+ 1 9.38337- 3 9.36000- 5 1.30000+ 1 1.90000+ 1 8.49677- 2 9.41600- 5 1.40000+ 1 1.40000+ 1 2.44800- 1 2.78800- 5 1.40000+ 1 1.60000+ 1 9.85840- 2 8.21500- 5 1.40000+ 1 1.80000+ 1 6.37338- 2 9.47400- 5 1.40000+ 1 1.90000+ 1 1.61827- 1 9.53000- 5 1.60000+ 1 1.60000+ 1 1.27870- 4 1.36420- 4 1.60000+ 1 1.80000+ 1 1.94656- 4 1.49010- 4 1.60000+ 1 1.90000+ 1 3.95521- 3 1.49570- 4 1.80000+ 1 1.80000+ 1 2.44340- 5 1.61600- 4 1.80000+ 1 1.90000+ 1 2.65199- 3 1.62160- 4 1.90000+ 1 1.90000+ 1 3.62773- 3 1.62720- 4 1 35000 0 7 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.36251- 6 6.80000- 5 1.90000+ 1 6.24872- 7 6.85600- 5 1 35000 0 9 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 2.19834- 1 3.12300- 5 1.60000+ 1 1.80000+ 1 2.69287- 1 4.38200- 5 1.60000+ 1 1.90000+ 1 3.09911- 1 4.43800- 5 1.80000+ 1 1.80000+ 1 4.50335- 2 5.64100- 5 1.80000+ 1 1.90000+ 1 1.21787- 1 5.69700- 5 1.90000+ 1 1.90000+ 1 3.41431- 2 5.75300- 5 1 35000 0 7 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.29938- 6 6.74200- 5 1 35000 0 9 7.99040+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 2.26779- 1 3.00900- 5 1.60000+ 1 1.80000+ 1 1.54383- 1 4.26800- 5 1.60000+ 1 1.90000+ 1 4.24784- 1 4.32400- 5 1.80000+ 1 1.80000+ 1 8.40977- 3 5.52700- 5 1.80000+ 1 1.90000+ 1 7.01718- 2 5.58300- 5 1.90000+ 1 1.90000+ 1 1.15469- 1 5.63900- 5 1 36000 0 0 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 1 36000 0 0 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.42800- 2 3.00000+ 0 1.90230- 3 5.00000+ 0 1.72830- 3 6.00000+ 0 1.67340- 3 8.00000+ 0 2.78170- 4 1.00000+ 1 2.15120- 4 1.10000+ 1 2.06960- 4 1.30000+ 1 9.53500- 5 1.40000+ 1 9.39800- 5 1.60000+ 1 2.74400- 5 1.80000+ 1 1.34300- 5 1.90000+ 1 1.27200- 5 1 36000 0 0 8.38000+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.81430- 2 3.00000+ 0 3.65720- 3 5.00000+ 0 3.65290- 3 6.00000+ 0 3.45050- 3 8.00000+ 0 8.96870- 4 1.00000+ 1 8.43430- 4 1.10000+ 1 8.02720- 4 1.30000+ 1 6.84830- 4 1.40000+ 1 6.75340- 4 1.60000+ 1 1.47890- 4 1.80000+ 1 1.04720- 4 1.90000+ 1 9.86500- 5 1 36000 0 0 8.38000+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.18990-10 3.00000+ 0 9.64240-10 5.00000+ 0 8.25990-10 6.00000+ 0 8.47230-10 8.00000+ 0 2.77490- 9 1.00000+ 1 2.78000- 9 1.10000+ 1 2.83360- 9 1.30000+ 1 2.84560- 9 1.40000+ 1 2.86490- 9 1.60000+ 1 8.05910- 9 1.80000+ 1 9.68100- 9 1.90000+ 1 9.92810- 9 1 36000 0 0 8.38000+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.68590- 6 3.00000+ 0 1.67580- 8 5.00000+ 0 2.47170- 8 6.00000+ 0 2.40800- 8 8.00000+ 0 1.45910-10 1.00000+ 1 2.43290-10 1.10000+ 1 2.15430-10 1.30000+ 1 7.27460-12 1.40000+ 1 6.79280-12 1 36000 0 0 8.38000+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.30770- 7 3.00000+ 0 7.15510- 6 5.00000+ 0 1.20020- 6 6.00000+ 0 1.14580- 6 8.00000+ 0 5.16930- 6 1.00000+ 1 3.54140- 6 1.10000+ 1 3.08270- 6 1.30000+ 1 7.02530- 8 1.40000+ 1 7.21090- 8 1 36000 0 0 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.32344- 4 3.00000+ 0 1.33952- 4 5.00000+ 0 1.00375- 4 6.00000+ 0 9.73508- 5 8.00000+ 0 7.67778- 5 1.00000+ 1 6.74013- 5 1.10000+ 1 6.45189- 5 1.30000+ 1 3.98200- 5 1.40000+ 1 3.94532- 5 1.60000+ 1 2.74400- 5 1.80000+ 1 1.34300- 5 1.90000+ 1 1.27200- 5 1 36000 0 7 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.64678- 1 3.00000+ 0 2.15300- 2 5.00000+ 0 2.33418- 2 6.00000+ 0 2.17909- 2 8.00000+ 0 2.40824- 4 1.00000+ 1 2.11089- 4 1.10000+ 1 1.89492- 4 1.30000+ 1 8.35663- 6 1.40000+ 1 6.96921- 6 1 36000 0 7 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.20574- 3 3.00000+ 0 3.36265- 5 5.00000+ 0 3.70592- 5 6.00000+ 0 3.34387- 5 8.00000+ 0 3.43702- 8 1.00000+ 1 2.70443- 8 1.10000+ 1 2.32215- 8 1.30000+ 1 6.85499-10 1.40000+ 1 5.66318-10 1 36000 0 9 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.83136+ 0 3.00000+ 0 5.88403+ 0 5.00000+ 0 4.17831+ 0 6.00000+ 0 4.02175+ 0 8.00000+ 0 2.97952+ 0 1.00000+ 1 2.48596+ 0 1.10000+ 1 2.37451+ 0 1.30000+ 1 9.99992- 1 1.40000+ 1 9.99993- 1 1 36000 0 9 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.94191- 3 3.00000+ 0 1.73472- 3 5.00000+ 0 1.59087- 3 6.00000+ 0 1.54261- 3 8.00000+ 0 2.01358- 4 1.00000+ 1 1.47692- 4 1.10000+ 1 1.42418- 4 1.30000+ 1 5.55293- 5 1.40000+ 1 5.45262- 5 1 36000 0 7 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.88869- 1 1.25517- 2 6.00000+ 0 3.64199- 1 1.26066- 2 1.00000+ 1 2.65729- 2 1.40649- 2 1.10000+ 1 5.18228- 2 1.40730- 2 1.30000+ 1 7.74727- 5 1.41846- 2 1.40000+ 1 1.11000- 4 1.41860- 2 1.80000+ 1 2.33499- 3 1.42666- 2 1.90000+ 1 4.49188- 3 1.42673- 2 1 36000 0 9 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 2.50649- 2 1.04754- 2 3.00000+ 0 5.00000+ 0 2.80310- 2 1.06494- 2 3.00000+ 0 6.00000+ 0 4.62200- 2 1.07043- 2 3.00000+ 0 8.00000+ 0 7.46432- 3 1.20995- 2 3.00000+ 0 1.00000+ 1 4.23599- 3 1.21626- 2 3.00000+ 0 1.10000+ 1 6.93372- 3 1.21707- 2 3.00000+ 0 1.30000+ 1 3.13821- 4 1.22823- 2 3.00000+ 0 1.40000+ 1 4.05746- 4 1.22837- 2 3.00000+ 0 1.60000+ 1 9.67892- 4 1.23503- 2 3.00000+ 0 1.80000+ 1 4.20560- 4 1.23643- 2 3.00000+ 0 1.90000+ 1 6.81524- 4 1.23650- 2 5.00000+ 0 5.00000+ 0 4.67293- 3 1.08234- 2 5.00000+ 0 6.00000+ 0 1.07352- 1 1.08783- 2 5.00000+ 0 8.00000+ 0 3.49080- 3 1.22735- 2 5.00000+ 0 1.00000+ 1 1.30486- 3 1.23366- 2 5.00000+ 0 1.10000+ 1 1.37050- 2 1.23447- 2 5.00000+ 0 1.30000+ 1 4.20525- 4 1.24563- 2 5.00000+ 0 1.40000+ 1 1.52361- 3 1.24577- 2 5.00000+ 0 1.60000+ 1 4.40592- 4 1.25243- 2 5.00000+ 0 1.80000+ 1 1.28901- 4 1.25383- 2 5.00000+ 0 1.90000+ 1 1.32071- 3 1.25390- 2 6.00000+ 0 6.00000+ 0 5.79975- 2 1.09332- 2 6.00000+ 0 8.00000+ 0 5.77333- 3 1.23284- 2 6.00000+ 0 1.00000+ 1 1.36599- 2 1.23915- 2 6.00000+ 0 1.10000+ 1 1.51016- 2 1.23996- 2 6.00000+ 0 1.30000+ 1 1.87127- 3 1.25112- 2 6.00000+ 0 1.40000+ 1 1.80360- 3 1.25126- 2 6.00000+ 0 1.60000+ 1 7.29062- 4 1.25792- 2 6.00000+ 0 1.80000+ 1 1.32820- 3 1.25932- 2 6.00000+ 0 1.90000+ 1 1.45916- 3 1.25939- 2 8.00000+ 0 8.00000+ 0 5.54395- 4 1.37237- 2 8.00000+ 0 1.00000+ 1 5.37332- 4 1.37867- 2 8.00000+ 0 1.10000+ 1 8.80278- 4 1.37949- 2 8.00000+ 0 1.30000+ 1 3.73884- 5 1.39065- 2 8.00000+ 0 1.40000+ 1 4.70068- 5 1.39078- 2 8.00000+ 0 1.60000+ 1 1.43150- 4 1.39744- 2 8.00000+ 0 1.80000+ 1 5.34117- 5 1.39884- 2 8.00000+ 0 1.90000+ 1 8.65290- 5 1.39891- 2 1.00000+ 1 1.00000+ 1 8.83051- 5 1.38498- 2 1.00000+ 1 1.10000+ 1 1.79728- 3 1.38579- 2 1.00000+ 1 1.30000+ 1 4.19953- 5 1.39695- 2 1.00000+ 1 1.40000+ 1 1.59380- 4 1.39709- 2 1.00000+ 1 1.60000+ 1 6.89185- 5 1.40374- 2 1.00000+ 1 1.80000+ 1 1.72293- 5 1.40514- 2 1.00000+ 1 1.90000+ 1 1.73380- 4 1.40522- 2 1.10000+ 1 1.10000+ 1 1.00439- 3 1.38661- 2 1.10000+ 1 1.30000+ 1 1.99370- 4 1.39777- 2 1.10000+ 1 1.40000+ 1 1.88592- 4 1.39791- 2 1.10000+ 1 1.60000+ 1 1.12080- 4 1.40456- 2 1.10000+ 1 1.80000+ 1 1.74581- 4 1.40596- 2 1.10000+ 1 1.90000+ 1 1.93981- 4 1.40603- 2 1.30000+ 1 1.40000+ 1 1.79615- 5 1.40907- 2 1.30000+ 1 1.60000+ 1 4.22641- 6 1.41572- 2 1.30000+ 1 1.80000+ 1 4.22641- 6 1.41712- 2 1.30000+ 1 1.90000+ 1 1.79615- 5 1.41719- 2 1.40000+ 1 1.40000+ 1 4.34469- 6 1.40920- 2 1.40000+ 1 1.60000+ 1 6.51667- 6 1.41586- 2 1.40000+ 1 1.80000+ 1 1.52065- 5 1.41726- 2 1.40000+ 1 1.90000+ 1 1.73779- 5 1.41733- 2 1.60000+ 1 1.60000+ 1 8.71833- 6 1.42251- 2 1.60000+ 1 1.80000+ 1 5.81183- 6 1.42391- 2 1.60000+ 1 1.90000+ 1 9.68675- 6 1.42398- 2 1.80000+ 1 1.80000+ 1 1.05661- 6 1.42531- 2 1.80000+ 1 1.90000+ 1 1.69053- 5 1.42538- 2 1.90000+ 1 1.90000+ 1 9.70476- 6 1.42546- 2 1 36000 0 7 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.42479- 5 1.74000- 4 6.00000+ 0 8.20713- 5 2.28900- 4 1.00000+ 1 1.11439- 3 1.68718- 3 1.10000+ 1 1.98218- 3 1.69534- 3 1.30000+ 1 6.55615- 6 1.80695- 3 1.40000+ 1 9.75582- 6 1.80832- 3 1.80000+ 1 1.04499- 4 1.88887- 3 1.90000+ 1 1.84708- 4 1.88958- 3 1 36000 0 9 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.30000+ 1 5.73065- 2 7.86500- 5 5.00000+ 0 1.40000+ 1 9.14224- 2 8.00200- 5 5.00000+ 0 1.60000+ 1 1.18917- 2 1.46560- 4 5.00000+ 0 1.80000+ 1 6.64933- 3 1.60570- 4 5.00000+ 0 1.90000+ 1 9.21862- 3 1.61280- 4 6.00000+ 0 1.10000+ 1 1.27861- 1 2.19400- 5 6.00000+ 0 1.30000+ 1 1.91470- 1 1.33550- 4 6.00000+ 0 1.40000+ 1 2.72920- 1 1.34920- 4 6.00000+ 0 1.60000+ 1 1.97729- 2 2.01460- 4 6.00000+ 0 1.80000+ 1 7.45160- 3 2.15470- 4 6.00000+ 0 1.90000+ 1 1.55894- 2 2.16180- 4 8.00000+ 0 8.00000+ 0 7.62851- 3 1.34596- 3 8.00000+ 0 1.00000+ 1 1.45374- 2 1.40901- 3 8.00000+ 0 1.10000+ 1 2.79786- 2 1.41717- 3 8.00000+ 0 1.30000+ 1 1.99397- 2 1.52878- 3 8.00000+ 0 1.40000+ 1 2.90659- 2 1.53015- 3 8.00000+ 0 1.60000+ 1 1.75233- 3 1.59669- 3 8.00000+ 0 1.80000+ 1 1.43690- 3 1.61070- 3 8.00000+ 0 1.90000+ 1 2.73975- 3 1.61141- 3 1.00000+ 1 1.00000+ 1 1.53785- 4 1.47206- 3 1.00000+ 1 1.10000+ 1 5.94687- 4 1.48022- 3 1.00000+ 1 1.30000+ 1 3.57074- 4 1.59183- 3 1.00000+ 1 1.40000+ 1 6.44649- 3 1.59320- 3 1.00000+ 1 1.60000+ 1 1.42301- 3 1.65974- 3 1.00000+ 1 1.80000+ 1 2.17816- 5 1.67375- 3 1.00000+ 1 1.90000+ 1 5.61026- 5 1.67446- 3 1.10000+ 1 1.10000+ 1 7.39370- 4 1.48838- 3 1.10000+ 1 1.30000+ 1 6.56702- 3 1.59999- 3 1.10000+ 1 1.40000+ 1 4.64073- 3 1.60136- 3 1.10000+ 1 1.60000+ 1 2.94822- 3 1.66790- 3 1.10000+ 1 1.80000+ 1 6.10820- 5 1.68191- 3 1.10000+ 1 1.90000+ 1 1.21453- 4 1.68262- 3 1.30000+ 1 1.30000+ 1 8.46149- 4 1.71160- 3 1.30000+ 1 1.40000+ 1 3.76210- 2 1.71297- 3 1.30000+ 1 1.60000+ 1 1.87252- 3 1.77951- 3 1.30000+ 1 1.80000+ 1 4.55414- 5 1.79352- 3 1.30000+ 1 1.90000+ 1 5.87434- 4 1.79423- 3 1.40000+ 1 1.40000+ 1 1.04797- 2 1.71434- 3 1.40000+ 1 1.60000+ 1 2.73326- 3 1.78088- 3 1.40000+ 1 1.80000+ 1 6.05925- 4 1.79489- 3 1.40000+ 1 1.90000+ 1 4.29031- 4 1.79560- 3 1.60000+ 1 1.60000+ 1 9.76846- 5 1.84742- 3 1.60000+ 1 1.80000+ 1 1.40585- 4 1.86143- 3 1.60000+ 1 1.90000+ 1 2.67986- 4 1.86214- 3 1.80000+ 1 1.80000+ 1 7.73010- 7 1.87544- 3 1.80000+ 1 1.90000+ 1 6.18413- 6 1.87615- 3 1.90000+ 1 1.90000+ 1 4.62006- 6 1.87686- 3 1 36000 0 7 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.79799- 9 5.49000- 5 8.00000+ 0 3.38438- 3 1.45013- 3 1.10000+ 1 2.35079- 5 1.52134- 3 1.30000+ 1 1.74919- 2 1.63295- 3 1.60000+ 1 1.67509- 4 1.70086- 3 1.90000+ 1 3.66198- 7 1.71558- 3 1 36000 0 9 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 2.08855- 2 2.74600- 5 6.00000+ 0 1.80000+ 1 5.46950- 2 4.14700- 5 6.00000+ 0 1.90000+ 1 2.15170- 2 4.21800- 5 8.00000+ 0 8.00000+ 0 2.03727- 3 1.17196- 3 8.00000+ 0 1.00000+ 1 4.06245- 2 1.23501- 3 8.00000+ 0 1.10000+ 1 3.67292- 3 1.24317- 3 8.00000+ 0 1.30000+ 1 2.05945- 3 1.35478- 3 8.00000+ 0 1.40000+ 1 5.45922- 3 1.35615- 3 8.00000+ 0 1.60000+ 1 4.46067- 4 1.42269- 3 8.00000+ 0 1.80000+ 1 3.08477- 3 1.43670- 3 8.00000+ 0 1.90000+ 1 3.28449- 4 1.43741- 3 1.00000+ 1 1.00000+ 1 3.74502- 2 1.29806- 3 1.00000+ 1 1.10000+ 1 1.25663- 1 1.30622- 3 1.00000+ 1 1.30000+ 1 5.94956- 2 1.41783- 3 1.00000+ 1 1.40000+ 1 1.09768- 1 1.41920- 3 1.00000+ 1 1.60000+ 1 5.36171- 3 1.48574- 3 1.00000+ 1 1.80000+ 1 6.60675- 3 1.49975- 3 1.00000+ 1 1.90000+ 1 1.20927- 2 1.50046- 3 1.10000+ 1 1.10000+ 1 3.45316- 3 1.31438- 3 1.10000+ 1 1.30000+ 1 7.33333- 2 1.42599- 3 1.10000+ 1 1.40000+ 1 1.02704- 2 1.42736- 3 1.10000+ 1 1.60000+ 1 4.26100- 4 1.49390- 3 1.10000+ 1 1.80000+ 1 9.82708- 3 1.50791- 3 1.10000+ 1 1.90000+ 1 5.81445- 4 1.50862- 3 1.30000+ 1 1.30000+ 1 6.11583- 2 1.53760- 3 1.30000+ 1 1.40000+ 1 2.72737- 1 1.53897- 3 1.30000+ 1 1.60000+ 1 2.86295- 4 1.60551- 3 1.30000+ 1 1.80000+ 1 4.62492- 3 1.61952- 3 1.30000+ 1 1.90000+ 1 6.79101- 3 1.62023- 3 1.40000+ 1 1.40000+ 1 1.29541- 2 1.54034- 3 1.40000+ 1 1.60000+ 1 6.52471- 4 1.60688- 3 1.40000+ 1 1.80000+ 1 7.96061- 3 1.62089- 3 1.40000+ 1 1.90000+ 1 8.87686- 4 1.62160- 3 1.60000+ 1 1.60000+ 1 2.44127- 5 1.67342- 3 1.60000+ 1 1.80000+ 1 4.08357- 4 1.68743- 3 1.60000+ 1 1.90000+ 1 3.77275- 5 1.68814- 3 1.80000+ 1 1.80000+ 1 2.86289- 4 1.70144- 3 1.80000+ 1 1.90000+ 1 9.45404- 4 1.70215- 3 1.90000+ 1 1.90000+ 1 3.77848- 5 1.70286- 3 1 36000 0 7 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.04641- 3 1.39523- 3 1.00000+ 1 1.36320- 5 1.45828- 3 1.10000+ 1 1.30140- 5 1.46644- 3 1.30000+ 1 1.62150- 3 1.57805- 3 1.40000+ 1 1.57820- 2 1.57942- 3 1.60000+ 1 1.50760- 4 1.64596- 3 1.80000+ 1 1.77550- 7 1.65997- 3 1.90000+ 1 1.68380- 7 1.66068- 3 1 36000 0 9 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.30255- 3 1.11706- 3 8.00000+ 0 1.00000+ 1 1.70999- 3 1.18011- 3 8.00000+ 0 1.10000+ 1 4.49214- 2 1.18827- 3 8.00000+ 0 1.30000+ 1 3.91035- 3 1.29988- 3 8.00000+ 0 1.40000+ 1 4.25888- 3 1.30125- 3 8.00000+ 0 1.60000+ 1 5.04185- 4 1.36779- 3 8.00000+ 0 1.80000+ 1 1.51020- 4 1.38180- 3 8.00000+ 0 1.90000+ 1 3.41078- 3 1.38251- 3 1.00000+ 1 1.00000+ 1 6.41264- 4 1.24316- 3 1.00000+ 1 1.10000+ 1 7.20118- 2 1.25132- 3 1.00000+ 1 1.30000+ 1 4.40753- 3 1.36293- 3 1.00000+ 1 1.40000+ 1 4.06759- 2 1.36430- 3 1.00000+ 1 1.60000+ 1 1.95158- 4 1.43084- 3 1.00000+ 1 1.80000+ 1 1.11519- 4 1.44485- 3 1.00000+ 1 1.90000+ 1 5.59703- 3 1.44556- 3 1.10000+ 1 1.10000+ 1 1.04807- 1 1.25948- 3 1.10000+ 1 1.30000+ 1 9.23720- 2 1.37109- 3 1.10000+ 1 1.40000+ 1 1.40909- 1 1.37246- 3 1.10000+ 1 1.60000+ 1 5.88989- 3 1.43900- 3 1.10000+ 1 1.80000+ 1 6.91448- 3 1.45301- 3 1.10000+ 1 1.90000+ 1 1.82275- 2 1.45372- 3 1.30000+ 1 1.30000+ 1 1.16688- 2 1.48270- 3 1.30000+ 1 1.40000+ 1 2.30889- 1 1.48407- 3 1.30000+ 1 1.60000+ 1 4.80958- 4 1.55061- 3 1.30000+ 1 1.80000+ 1 4.22869- 4 1.56462- 3 1.30000+ 1 1.90000+ 1 6.85892- 3 1.56533- 3 1.40000+ 1 1.40000+ 1 1.56822- 1 1.48544- 3 1.40000+ 1 1.60000+ 1 5.48320- 4 1.55198- 3 1.40000+ 1 1.80000+ 1 3.72441- 3 1.56599- 3 1.40000+ 1 1.90000+ 1 1.12059- 2 1.56670- 3 1.60000+ 1 1.60000+ 1 2.78813- 5 1.61852- 3 1.60000+ 1 1.80000+ 1 1.85881- 5 1.63253- 3 1.60000+ 1 1.90000+ 1 4.48431- 4 1.63324- 3 1.80000+ 1 1.80000+ 1 4.64684- 6 1.64654- 3 1.80000+ 1 1.90000+ 1 5.39044- 4 1.64725- 3 1.90000+ 1 1.90000+ 1 7.83011- 4 1.64796- 3 1 36000 0 7 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.27624- 5 6.30500- 5 1.10000+ 1 3.51138- 5 7.12100- 5 1.80000+ 1 1.97284- 5 2.64740- 4 1.90000+ 1 3.07209- 5 2.65450- 4 1 36000 0 9 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 8.18146- 2 3.56100- 5 1.00000+ 1 1.80000+ 1 5.44392- 2 4.96200- 5 1.00000+ 1 1.90000+ 1 1.22909- 1 5.03300- 5 1.10000+ 1 1.60000+ 1 1.42976- 1 4.37700- 5 1.10000+ 1 1.80000+ 1 1.18520- 1 5.77800- 5 1.10000+ 1 1.90000+ 1 1.91429- 1 5.84900- 5 1.30000+ 1 1.30000+ 1 1.01571- 2 8.74700- 5 1.30000+ 1 1.40000+ 1 1.71526- 2 8.88400- 5 1.30000+ 1 1.60000+ 1 5.60700- 2 1.55380- 4 1.30000+ 1 1.80000+ 1 6.75392- 3 1.69390- 4 1.30000+ 1 1.90000+ 1 5.55833- 3 1.70100- 4 1.40000+ 1 1.40000+ 1 1.83723- 2 9.02100- 5 1.40000+ 1 1.60000+ 1 8.31509- 2 1.56750- 4 1.40000+ 1 1.80000+ 1 2.71101- 3 1.70760- 4 1.40000+ 1 1.90000+ 1 1.41569- 2 1.71470- 4 1.60000+ 1 1.60000+ 1 1.58861- 2 2.23290- 4 1.60000+ 1 1.80000+ 1 1.76513- 2 2.37300- 4 1.60000+ 1 1.90000+ 1 3.32763- 2 2.38010- 4 1.80000+ 1 1.80000+ 1 1.01328- 3 2.51310- 4 1.80000+ 1 1.90000+ 1 2.80685- 3 2.52020- 4 1.90000+ 1 1.90000+ 1 3.09833- 3 2.52730- 4 1 36000 0 7 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.67029- 4 1.19770- 4 1.60000+ 1 3.24469- 5 1.87680- 4 1 36000 0 9 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 1.02288- 1 2.44200- 5 1.30000+ 1 1.40000+ 1 3.81784- 1 2.57900- 5 1.30000+ 1 1.60000+ 1 9.64043- 2 9.23300- 5 1.30000+ 1 1.80000+ 1 8.85373- 2 1.06340- 4 1.30000+ 1 1.90000+ 1 1.33504- 1 1.07050- 4 1.40000+ 1 1.40000+ 1 1.75764- 2 2.71600- 5 1.40000+ 1 1.60000+ 1 1.54648- 2 9.37000- 5 1.40000+ 1 1.80000+ 1 1.35410- 1 1.07710- 4 1.40000+ 1 1.90000+ 1 1.33880- 2 1.08420- 4 1.60000+ 1 1.60000+ 1 2.31230- 4 1.60240- 4 1.60000+ 1 1.80000+ 1 4.65011- 3 1.74250- 4 1.60000+ 1 1.90000+ 1 5.69246- 4 1.74960- 4 1.80000+ 1 1.80000+ 1 2.30383- 3 1.88260- 4 1.80000+ 1 1.90000+ 1 7.49094- 3 1.88970- 4 1.90000+ 1 1.90000+ 1 1.98199- 4 1.89680- 4 1 36000 0 7 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.41139- 5 1.11610- 4 1.40000+ 1 1.32959- 4 1.12980- 4 1.60000+ 1 3.23128- 5 1.79520- 4 1 36000 0 9 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 2.14849- 2 1.62600- 5 1.30000+ 1 1.40000+ 1 1.80620- 1 1.76300- 5 1.30000+ 1 1.60000+ 1 2.33887- 2 8.41700- 5 1.30000+ 1 1.80000+ 1 1.35465- 2 9.81800- 5 1.30000+ 1 1.90000+ 1 1.18447- 1 9.88900- 5 1.40000+ 1 1.40000+ 1 1.90649- 1 1.90000- 5 1.40000+ 1 1.60000+ 1 1.13798- 1 8.55400- 5 1.40000+ 1 1.80000+ 1 9.14734- 2 9.95500- 5 1.40000+ 1 1.90000+ 1 2.28386- 1 1.00260- 4 1.60000+ 1 1.60000+ 1 1.79160- 4 1.52080- 4 1.60000+ 1 1.80000+ 1 3.00946- 4 1.66090- 4 1.60000+ 1 1.90000+ 1 5.72675- 3 1.66800- 4 1.80000+ 1 1.80000+ 1 5.56009- 5 1.80100- 4 1.80000+ 1 1.90000+ 1 4.76317- 3 1.80810- 4 1.90000+ 1 1.90000+ 1 7.00116- 3 1.81520- 4 1 36000 0 7 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 7.05533- 6 8.19200- 5 1.90000+ 1 1.30130- 6 8.26300- 5 1 36000 0 9 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.62098- 1 4.04700- 5 1.60000+ 1 1.80000+ 1 2.89268- 1 5.44800- 5 1.60000+ 1 1.90000+ 1 3.39017- 1 5.51900- 5 1.80000+ 1 1.80000+ 1 4.93182- 2 6.84900- 5 1.80000+ 1 1.90000+ 1 1.18532- 1 6.92000- 5 1.90000+ 1 1.90000+ 1 4.17582- 2 6.99100- 5 1 36000 0 7 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 6.96921- 6 8.12600- 5 1 36000 0 9 8.38000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.62786- 1 3.91000- 5 1.60000+ 1 1.80000+ 1 1.66903- 1 5.31100- 5 1.60000+ 1 1.90000+ 1 4.46972- 1 5.38200- 5 1.80000+ 1 1.80000+ 1 1.05990- 2 6.71200- 5 1.80000+ 1 1.90000+ 1 7.20131- 2 6.78300- 5 1.90000+ 1 1.90000+ 1 1.40720- 1 6.85400- 5 1 37000 0 0 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.70000+ 1 1.00000+ 0 1 37000 0 0 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.51590- 2 3.00000+ 0 2.04800- 3 5.00000+ 0 1.86710- 3 6.00000+ 0 1.80510- 3 8.00000+ 0 3.13180- 4 1.00000+ 1 2.46690- 4 1.10000+ 1 2.37290- 4 1.30000+ 1 1.19200- 4 1.40000+ 1 1.17570- 4 1.60000+ 1 3.67200- 5 1.80000+ 1 2.07300- 5 1.90000+ 1 1.97500- 5 2.70000+ 1 4.02000- 6 1 37000 0 0 8.54678+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.92350- 2 3.00000+ 0 3.90010- 3 5.00000+ 0 3.89680- 3 6.00000+ 0 3.66880- 3 8.00000+ 0 9.70940- 4 1.00000+ 1 9.16840- 4 1.10000+ 1 8.70650- 4 1.30000+ 1 7.53870- 4 1.40000+ 1 7.43040- 4 1.60000+ 1 1.75220- 4 1.80000+ 1 1.34080- 4 1.90000+ 1 1.27080- 4 2.70000+ 1 1.24300- 5 1 37000 0 0 8.54678+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.12730-10 3.00000+ 0 9.34500-10 5.00000+ 0 7.99740-10 6.00000+ 0 8.21360-10 8.00000+ 0 2.67220- 9 1.00000+ 1 2.66760- 9 1.10000+ 1 2.72130- 9 1.30000+ 1 2.69540- 9 1.40000+ 1 2.71390- 9 1.60000+ 1 7.47220- 9 1.80000+ 1 8.58050- 9 1.90000+ 1 8.76190- 9 2.70000+ 1 2.75680- 8 1 37000 0 0 8.54678+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.90430- 6 3.00000+ 0 1.98340- 8 5.00000+ 0 2.92830- 8 6.00000+ 0 2.84990- 8 8.00000+ 0 1.95030-10 1.00000+ 1 2.75290-10 1.10000+ 1 2.42630-10 1.30000+ 1 1.10880-11 1.40000+ 1 1.03870-11 1.60000+ 1 7.08570-12 1 37000 0 0 8.54678+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.50790- 7 3.00000+ 0 6.18990- 6 5.00000+ 0 1.28310- 6 6.00000+ 0 1.22210- 6 8.00000+ 0 5.83090- 6 1.00000+ 1 3.16050- 6 1.10000+ 1 2.81740- 6 1.30000+ 1 6.68400- 8 1.40000+ 1 6.94020- 8 1.60000+ 1 2.48220- 7 1 37000 0 0 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.38979- 4 3.00000+ 0 1.40943- 4 5.00000+ 0 1.08550- 4 6.00000+ 0 1.04770- 4 8.00000+ 0 8.24324- 5 1.00000+ 1 7.20204- 5 1.10000+ 1 6.85822- 5 1.30000+ 1 4.37728- 5 1.40000+ 1 4.33238- 5 1.60000+ 1 2.41157- 5 1.80000+ 1 2.07300- 5 1.90000+ 1 1.97500- 5 2.70000+ 1 4.02000- 6 1 37000 0 7 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.91312- 1 3.00000+ 0 2.39681- 2 5.00000+ 0 2.60575- 2 6.00000+ 0 2.42301- 2 8.00000+ 0 2.96330- 4 1.00000+ 1 2.69882- 4 1.10000+ 1 2.43061- 4 1.30000+ 1 1.67112- 5 1.40000+ 1 1.41782- 5 1.60000+ 1 1.17080- 6 1 37000 0 7 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.03159- 3 3.00000+ 0 4.01208- 5 5.00000+ 0 4.43327- 5 6.00000+ 0 3.97654- 5 8.00000+ 0 4.69167- 8 1.00000+ 1 3.72283- 8 1.10000+ 1 3.22901- 8 1.30000+ 1 1.56011- 9 1.40000+ 1 1.30267- 9 1.60000+ 1 1.95321-11 1 37000 0 9 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.09078+ 0 3.00000+ 0 8.27059+ 0 5.00000+ 0 6.09204+ 0 6.00000+ 0 5.86224+ 0 8.00000+ 0 4.37487+ 0 1.00000+ 1 3.67418+ 0 1.10000+ 1 3.43571+ 0 1.30000+ 1 1.91723+ 0 1.40000+ 1 1.88672+ 0 1.60000+ 1 9.99999- 1 1 37000 0 9 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.98843- 3 3.00000+ 0 1.86694- 3 5.00000+ 0 1.71422- 3 6.00000+ 0 1.66056- 3 8.00000+ 0 2.30701- 4 1.00000+ 1 1.74632- 4 1.10000+ 1 1.68676- 4 1.30000+ 1 7.54257- 5 1.40000+ 1 7.42449- 5 1.60000+ 1 1.26043- 5 1 37000 0 7 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.95309- 1 1.32919- 2 6.00000+ 0 3.75737- 1 1.33539- 2 1.00000+ 1 2.80028- 2 1.49123- 2 1.10000+ 1 5.45866- 2 1.49217- 2 1.30000+ 1 8.99573- 5 1.50398- 2 1.40000+ 1 1.28639- 4 1.50414- 2 1.80000+ 1 3.05098- 3 1.51383- 2 1.90000+ 1 5.87956- 3 1.51392- 2 1 37000 0 9 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 2.34404- 2 1.10630- 2 3.00000+ 0 5.00000+ 0 2.62521- 2 1.12439- 2 3.00000+ 0 6.00000+ 0 4.27348- 2 1.13059- 2 3.00000+ 0 8.00000+ 0 7.08389- 3 1.27978- 2 3.00000+ 0 1.00000+ 1 4.04921- 3 1.28643- 2 3.00000+ 0 1.10000+ 1 6.54675- 3 1.28737- 2 3.00000+ 0 1.30000+ 1 3.07831- 4 1.29918- 2 3.00000+ 0 1.40000+ 1 3.94675- 4 1.29934- 2 3.00000+ 0 1.60000+ 1 9.95879- 4 1.30743- 2 3.00000+ 0 1.80000+ 1 4.60326- 4 1.30903- 2 3.00000+ 0 1.90000+ 1 7.40151- 4 1.30912- 2 3.00000+ 0 2.70000+ 1 5.30765- 5 1.31070- 2 5.00000+ 0 5.00000+ 0 4.32612- 3 1.14248- 2 5.00000+ 0 6.00000+ 0 9.89536- 2 1.14868- 2 5.00000+ 0 8.00000+ 0 3.31381- 3 1.29787- 2 5.00000+ 0 1.00000+ 1 1.23130- 3 1.30452- 2 5.00000+ 0 1.10000+ 1 1.28790- 2 1.30546- 2 5.00000+ 0 1.30000+ 1 4.11096- 4 1.31727- 2 5.00000+ 0 1.40000+ 1 1.48321- 3 1.31743- 2 5.00000+ 0 1.60000+ 1 4.52598- 4 1.32552- 2 5.00000+ 0 1.80000+ 1 1.38955- 4 1.32712- 2 5.00000+ 0 1.90000+ 1 1.42530- 3 1.32721- 2 5.00000+ 0 2.70000+ 1 2.41248- 5 1.32879- 2 6.00000+ 0 6.00000+ 0 5.32560- 2 1.15488- 2 6.00000+ 0 8.00000+ 0 5.40548- 3 1.30407- 2 6.00000+ 0 1.00000+ 1 1.28227- 2 1.31072- 2 6.00000+ 0 1.10000+ 1 1.41439- 2 1.31166- 2 6.00000+ 0 1.30000+ 1 1.81887- 3 1.32347- 2 6.00000+ 0 1.40000+ 1 1.74941- 3 1.32363- 2 6.00000+ 0 1.60000+ 1 7.39140- 4 1.33172- 2 6.00000+ 0 1.80000+ 1 1.42523- 3 1.33332- 2 6.00000+ 0 1.90000+ 1 1.57001- 3 1.33341- 2 6.00000+ 0 2.70000+ 1 3.95596- 5 1.33499- 2 8.00000+ 0 8.00000+ 0 5.29939- 4 1.45326- 2 8.00000+ 0 1.00000+ 1 5.17385- 4 1.45991- 2 8.00000+ 0 1.10000+ 1 8.36144- 4 1.46085- 2 8.00000+ 0 1.30000+ 1 3.68156- 5 1.47266- 2 8.00000+ 0 1.40000+ 1 4.65042- 5 1.47282- 2 8.00000+ 0 1.60000+ 1 1.49199- 4 1.48091- 2 8.00000+ 0 1.80000+ 1 5.91013- 5 1.48251- 2 8.00000+ 0 1.90000+ 1 9.49449- 5 1.48261- 2 8.00000+ 0 2.70000+ 1 7.75101- 6 1.48418- 2 1.00000+ 1 1.00000+ 1 8.50265- 5 1.46656- 2 1.00000+ 1 1.10000+ 1 1.70933- 3 1.46750- 2 1.00000+ 1 1.30000+ 1 4.20282- 5 1.47931- 2 1.00000+ 1 1.40000+ 1 1.56371- 4 1.47947- 2 1.00000+ 1 1.60000+ 1 7.13459- 5 1.48756- 2 1.00000+ 1 1.80000+ 1 1.85689- 5 1.48916- 2 1.00000+ 1 1.90000+ 1 1.89606- 4 1.48926- 2 1.00000+ 1 2.70000+ 1 3.90913- 6 1.49083- 2 1.10000+ 1 1.10000+ 1 9.40643- 4 1.46844- 2 1.10000+ 1 1.30000+ 1 1.92951- 4 1.48025- 2 1.10000+ 1 1.40000+ 1 1.82342- 4 1.48041- 2 1.10000+ 1 1.60000+ 1 1.13841- 4 1.48850- 2 1.10000+ 1 1.80000+ 1 1.88133- 4 1.49010- 2 1.10000+ 1 1.90000+ 1 2.08388- 4 1.49020- 2 1.10000+ 1 2.70000+ 1 5.78854- 6 1.49177- 2 1.30000+ 1 1.40000+ 1 1.83335- 5 1.49222- 2 1.30000+ 1 1.60000+ 1 4.82454- 6 1.50031- 2 1.30000+ 1 1.80000+ 1 4.82454- 6 1.50191- 2 1.30000+ 1 1.90000+ 1 2.12291- 5 1.50200- 2 1.40000+ 1 1.40000+ 1 5.14126- 6 1.49239- 2 1.40000+ 1 1.60000+ 1 6.16957- 6 1.50047- 2 1.40000+ 1 1.80000+ 1 1.74806- 5 1.50207- 2 1.40000+ 1 1.90000+ 1 2.05652- 5 1.50217- 2 1.60000+ 1 1.60000+ 1 9.34996- 6 1.50856- 2 1.60000+ 1 1.80000+ 1 6.80003- 6 1.51015- 2 1.60000+ 1 1.90000+ 1 1.10498- 5 1.51025- 2 1.60000+ 1 2.70000+ 1 8.50012- 7 1.51183- 2 1.80000+ 1 1.80000+ 1 9.64967- 7 1.51175- 2 1.80000+ 1 1.90000+ 1 2.12289- 5 1.51185- 2 1.90000+ 1 1.90000+ 1 1.12181- 5 1.51195- 2 1.90000+ 1 2.70000+ 1 9.34862- 7 1.51352- 2 1 37000 0 7 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.42440- 5 1.80900- 4 6.00000+ 0 8.37978- 5 2.42900- 4 1.00000+ 1 1.21360- 3 1.80131- 3 1.10000+ 1 2.14720- 3 1.81071- 3 1.30000+ 1 7.67288- 6 1.92880- 3 1.40000+ 1 1.14190- 5 1.93043- 3 1.80000+ 1 1.35250- 4 2.02727- 3 1.90000+ 1 2.40039- 4 2.02825- 3 1 37000 0 9 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.30000+ 1 6.17335- 2 6.17000- 5 5.00000+ 0 1.40000+ 1 9.76960- 2 6.33300- 5 5.00000+ 0 1.60000+ 1 1.55840- 2 1.44180- 4 5.00000+ 0 1.80000+ 1 9.19382- 3 1.60170- 4 5.00000+ 0 1.90000+ 1 1.27869- 2 1.61150- 4 5.00000+ 0 2.70000+ 1 8.25321- 4 1.76880- 4 6.00000+ 0 1.30000+ 1 2.29189- 1 1.23700- 4 6.00000+ 0 1.40000+ 1 3.27249- 1 1.25330- 4 6.00000+ 0 1.60000+ 1 2.55050- 2 2.06180- 4 6.00000+ 0 1.80000+ 1 1.01528- 2 2.22170- 4 6.00000+ 0 1.90000+ 1 2.12342- 2 2.23150- 4 6.00000+ 0 2.70000+ 1 1.35833- 3 2.38880- 4 8.00000+ 0 8.00000+ 0 7.34575- 3 1.42164- 3 8.00000+ 0 1.00000+ 1 1.40645- 2 1.48813- 3 8.00000+ 0 1.10000+ 1 2.70281- 2 1.49753- 3 8.00000+ 0 1.30000+ 1 1.96242- 2 1.61562- 3 8.00000+ 0 1.40000+ 1 2.85732- 2 1.61725- 3 8.00000+ 0 1.60000+ 1 1.82356- 3 1.69810- 3 8.00000+ 0 1.80000+ 1 1.58791- 3 1.71409- 3 8.00000+ 0 1.90000+ 1 3.03485- 3 1.71507- 3 8.00000+ 0 2.70000+ 1 9.76972- 5 1.73080- 3 1.00000+ 1 1.00000+ 1 1.43449- 4 1.55462- 3 1.00000+ 1 1.10000+ 1 5.84933- 4 1.56402- 3 1.00000+ 1 1.30000+ 1 3.61717- 4 1.68211- 3 1.00000+ 1 1.40000+ 1 6.40897- 3 1.68374- 3 1.00000+ 1 1.60000+ 1 1.47896- 3 1.76459- 3 1.00000+ 1 1.80000+ 1 2.28778- 5 1.78058- 3 1.00000+ 1 1.90000+ 1 6.36875- 5 1.78156- 3 1.00000+ 1 2.70000+ 1 7.72889- 5 1.79729- 3 1.10000+ 1 1.10000+ 1 6.91421- 4 1.57342- 3 1.10000+ 1 1.30000+ 1 6.24023- 3 1.69151- 3 1.10000+ 1 1.40000+ 1 4.40385- 3 1.69314- 3 1.10000+ 1 1.60000+ 1 2.96696- 3 1.77399- 3 1.10000+ 1 1.80000+ 1 6.64338- 5 1.78998- 3 1.10000+ 1 1.90000+ 1 1.29642- 4 1.79096- 3 1.10000+ 1 2.70000+ 1 1.55435- 4 1.80669- 3 1.30000+ 1 1.30000+ 1 8.60713- 4 1.80960- 3 1.30000+ 1 1.40000+ 1 3.76483- 2 1.81123- 3 1.30000+ 1 1.60000+ 1 1.98049- 3 1.89208- 3 1.30000+ 1 1.80000+ 1 5.31759- 5 1.90807- 3 1.30000+ 1 1.90000+ 1 6.61002- 4 1.90905- 3 1.30000+ 1 2.70000+ 1 1.03261- 4 1.92478- 3 1.40000+ 1 1.40000+ 1 1.05019- 2 1.81286- 3 1.40000+ 1 1.60000+ 1 2.88799- 3 1.89371- 3 1.40000+ 1 1.80000+ 1 6.86335- 4 1.90970- 3 1.40000+ 1 1.90000+ 1 4.82904- 4 1.91068- 3 1.40000+ 1 2.70000+ 1 1.50870- 4 1.92641- 3 1.60000+ 1 1.60000+ 1 1.09443- 4 1.97456- 3 1.60000+ 1 1.80000+ 1 1.66944- 4 1.99055- 3 1.60000+ 1 1.90000+ 1 3.19664- 4 1.99153- 3 1.60000+ 1 2.70000+ 1 1.17480- 5 2.00726- 3 1.80000+ 1 1.80000+ 1 6.18304- 7 2.00654- 3 1.80000+ 1 1.90000+ 1 6.80136- 6 2.00752- 3 1.80000+ 1 2.70000+ 1 8.65630- 6 2.02325- 3 1.90000+ 1 1.90000+ 1 5.56487- 6 2.00850- 3 1.90000+ 1 2.70000+ 1 1.66941- 5 2.02423- 3 1 37000 0 7 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.12298- 9 6.20000- 5 8.00000+ 0 3.26826- 3 1.55392- 3 1.10000+ 1 2.43977- 5 1.62981- 3 1.30000+ 1 1.99178- 2 1.74790- 3 1.60000+ 1 1.76188- 4 1.83038- 3 1.90000+ 1 4.93454- 7 1.84735- 3 1 37000 0 9 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 2.07243- 2 2.52800- 5 6.00000+ 0 1.80000+ 1 5.75554- 2 4.12700- 5 6.00000+ 0 1.90000+ 1 2.25323- 2 4.22500- 5 6.00000+ 0 2.70000+ 1 1.01684- 3 5.79800- 5 8.00000+ 0 8.00000+ 0 1.92798- 3 1.24074- 3 8.00000+ 0 1.00000+ 1 3.89921- 2 1.30723- 3 8.00000+ 0 1.10000+ 1 3.54753- 3 1.31663- 3 8.00000+ 0 1.30000+ 1 2.02537- 3 1.43472- 3 8.00000+ 0 1.40000+ 1 5.33277- 3 1.43635- 3 8.00000+ 0 1.60000+ 1 4.55616- 4 1.51720- 3 8.00000+ 0 1.80000+ 1 3.34666- 3 1.53319- 3 8.00000+ 0 1.90000+ 1 3.62424- 4 1.53417- 3 8.00000+ 0 2.70000+ 1 2.48515- 5 1.54990- 3 1.00000+ 1 1.00000+ 1 3.61850- 2 1.37372- 3 1.00000+ 1 1.10000+ 1 1.21043- 1 1.38312- 3 1.00000+ 1 1.30000+ 1 5.85107- 2 1.50121- 3 1.00000+ 1 1.40000+ 1 1.07399- 1 1.50284- 3 1.00000+ 1 1.60000+ 1 5.58757- 3 1.58369- 3 1.00000+ 1 1.80000+ 1 7.26507- 3 1.59968- 3 1.00000+ 1 1.90000+ 1 1.33608- 2 1.60066- 3 1.00000+ 1 2.70000+ 1 3.04435- 4 1.61639- 3 1.10000+ 1 1.10000+ 1 3.31556- 3 1.39252- 3 1.10000+ 1 1.30000+ 1 7.22453- 2 1.51061- 3 1.10000+ 1 1.40000+ 1 1.00674- 2 1.51224- 3 1.10000+ 1 1.60000+ 1 4.47332- 4 1.59309- 3 1.10000+ 1 1.80000+ 1 1.07086- 2 1.60908- 3 1.10000+ 1 1.90000+ 1 6.37850- 4 1.61006- 3 1.10000+ 1 2.70000+ 1 2.48513- 5 1.62579- 3 1.30000+ 1 1.30000+ 1 6.11214- 2 1.62870- 3 1.30000+ 1 1.40000+ 1 2.71821- 1 1.63033- 3 1.30000+ 1 1.60000+ 1 3.02366- 4 1.71118- 3 1.30000+ 1 1.80000+ 1 5.14844- 3 1.72717- 3 1.30000+ 1 1.90000+ 1 7.66647- 3 1.72815- 3 1.30000+ 1 2.70000+ 1 1.65681- 5 1.74388- 3 1.40000+ 1 1.40000+ 1 1.29059- 2 1.63196- 3 1.40000+ 1 1.60000+ 1 6.85472- 4 1.71281- 3 1.40000+ 1 1.80000+ 1 8.77903- 3 1.72880- 3 1.40000+ 1 1.90000+ 1 9.94018- 4 1.72978- 3 1.40000+ 1 2.70000+ 1 3.72766- 5 1.74551- 3 1.60000+ 1 1.60000+ 1 2.69231- 5 1.79366- 3 1.60000+ 1 1.80000+ 1 4.80468- 4 1.80965- 3 1.60000+ 1 1.90000+ 1 4.55617- 5 1.81063- 3 1.60000+ 1 2.70000+ 1 2.07102- 6 1.82636- 3 1.80000+ 1 1.80000+ 1 3.56181- 4 1.82564- 3 1.80000+ 1 1.90000+ 1 1.18248- 3 1.82662- 3 1.80000+ 1 2.70000+ 1 2.69216- 5 1.84235- 3 1.90000+ 1 1.90000+ 1 6.34866- 5 1.82760- 3 1.90000+ 1 2.70000+ 1 4.23257- 6 1.84333- 3 1 37000 0 7 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.10362- 3 1.49192- 3 1.00000+ 1 1.44991- 5 1.55841- 3 1.10000+ 1 1.38131- 5 1.56781- 3 1.30000+ 1 1.88571- 3 1.68590- 3 1.40000+ 1 1.78401- 2 1.68753- 3 1.60000+ 1 1.61311- 4 1.76838- 3 1.80000+ 1 2.39921- 7 1.78437- 3 1.90000+ 1 2.29301- 7 1.78535- 3 1 37000 0 9 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.19473- 3 1.17874- 3 8.00000+ 0 1.00000+ 1 1.63843- 3 1.24523- 3 8.00000+ 0 1.10000+ 1 4.31987- 2 1.25463- 3 8.00000+ 0 1.30000+ 1 3.84208- 3 1.37272- 3 8.00000+ 0 1.40000+ 1 4.15918- 3 1.37435- 3 8.00000+ 0 1.60000+ 1 5.19367- 4 1.45520- 3 8.00000+ 0 1.80000+ 1 1.65152- 4 1.47119- 3 8.00000+ 0 1.90000+ 1 3.72243- 3 1.47217- 3 8.00000+ 0 2.70000+ 1 2.82496- 5 1.48790- 3 1.00000+ 1 1.00000+ 1 6.10639- 4 1.31172- 3 1.00000+ 1 1.10000+ 1 6.95845- 2 1.32112- 3 1.00000+ 1 1.30000+ 1 4.37236- 3 1.43921- 3 1.00000+ 1 1.40000+ 1 4.01131- 2 1.44084- 3 1.00000+ 1 1.60000+ 1 2.02098- 4 1.52169- 3 1.00000+ 1 1.80000+ 1 1.19521- 4 1.53768- 3 1.00000+ 1 1.90000+ 1 6.14764- 3 1.53866- 3 1.00000+ 1 2.70000+ 1 1.08654- 5 1.55439- 3 1.10000+ 1 1.10000+ 1 1.01122- 1 1.33052- 3 1.10000+ 1 1.30000+ 1 9.09849- 2 1.44861- 3 1.10000+ 1 1.40000+ 1 1.39014- 1 1.45024- 3 1.10000+ 1 1.60000+ 1 6.14752- 3 1.53109- 3 1.10000+ 1 1.80000+ 1 7.63395- 3 1.54708- 3 1.10000+ 1 1.90000+ 1 2.00946- 2 1.54806- 3 1.10000+ 1 2.70000+ 1 3.34647- 4 1.56379- 3 1.30000+ 1 1.30000+ 1 1.17621- 2 1.56670- 3 1.30000+ 1 1.40000+ 1 2.32126- 1 1.56833- 3 1.30000+ 1 1.60000+ 1 5.10662- 4 1.64918- 3 1.30000+ 1 1.80000+ 1 4.78073- 4 1.66517- 3 1.30000+ 1 1.90000+ 1 7.66649- 3 1.66615- 3 1.30000+ 1 2.70000+ 1 2.82492- 5 1.68188- 3 1.40000+ 1 1.40000+ 1 1.57773- 1 1.56996- 3 1.40000+ 1 1.60000+ 1 5.78040- 4 1.65081- 3 1.40000+ 1 1.80000+ 1 4.19408- 3 1.66680- 3 1.40000+ 1 1.90000+ 1 1.25953- 2 1.66778- 3 1.40000+ 1 2.70000+ 1 3.04231- 5 1.68351- 3 1.60000+ 1 1.60000+ 1 3.04231- 5 1.73166- 3 1.60000+ 1 1.80000+ 1 1.95575- 5 1.74765- 3 1.60000+ 1 1.90000+ 1 5.30229- 4 1.74863- 3 1.60000+ 1 2.70000+ 1 2.17309- 6 1.76436- 3 1.80000+ 1 1.80000+ 1 6.51921- 6 1.76364- 3 1.80000+ 1 1.90000+ 1 6.75821- 4 1.76462- 3 1.80000+ 1 2.70000+ 1 2.17307- 6 1.78035- 3 1.90000+ 1 1.90000+ 1 9.82255- 4 1.76560- 3 1.90000+ 1 2.70000+ 1 2.82504- 5 1.78133- 3 1 37000 0 7 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.28346- 5 6.64900- 5 1.10000+ 1 3.66574- 5 7.58900- 5 1.80000+ 1 2.51671- 5 2.92450- 4 1.90000+ 1 3.93837- 5 2.93430- 4 1 37000 0 9 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 7.45938- 2 2.97700- 5 1.00000+ 1 1.80000+ 1 5.63682- 2 4.57600- 5 1.00000+ 1 1.90000+ 1 1.25457- 1 4.67400- 5 1.00000+ 1 2.70000+ 1 2.04137- 3 6.24700- 5 1.10000+ 1 1.60000+ 1 1.30467- 1 3.91700- 5 1.10000+ 1 1.80000+ 1 1.18239- 1 5.51600- 5 1.10000+ 1 1.90000+ 1 1.93455- 1 5.61400- 5 1.10000+ 1 2.70000+ 1 3.62023- 3 7.18700- 5 1.30000+ 1 1.30000+ 1 9.88290- 3 7.47800- 5 1.30000+ 1 1.40000+ 1 1.28149- 2 7.64100- 5 1.30000+ 1 1.60000+ 1 5.16769- 2 1.57260- 4 1.30000+ 1 1.80000+ 1 6.97684- 3 1.73250- 4 1.30000+ 1 1.90000+ 1 5.64708- 3 1.74230- 4 1.30000+ 1 2.70000+ 1 1.22250- 3 1.89960- 4 1.40000+ 1 1.40000+ 1 1.68756- 2 7.80400- 5 1.40000+ 1 1.60000+ 1 7.66486- 2 1.58890- 4 1.40000+ 1 1.80000+ 1 2.66098- 3 1.74880- 4 1.40000+ 1 1.90000+ 1 1.46042- 2 1.75860- 4 1.40000+ 1 2.70000+ 1 1.81083- 3 1.91590- 4 1.60000+ 1 1.60000+ 1 1.85583- 2 2.39740- 4 1.60000+ 1 1.80000+ 1 2.26357- 2 2.55730- 4 1.60000+ 1 1.90000+ 1 4.29564- 2 2.56710- 4 1.60000+ 1 2.70000+ 1 9.64637- 4 2.72440- 4 1.80000+ 1 1.80000+ 1 1.13661- 3 2.71720- 4 1.80000+ 1 1.90000+ 1 3.07573- 3 2.72700- 4 1.80000+ 1 2.70000+ 1 4.42563- 4 2.88430- 4 1.90000+ 1 1.90000+ 1 4.11840- 3 2.73680- 4 1.90000+ 1 2.70000+ 1 9.35706- 4 2.89410- 4 1 37000 0 7 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.05309- 4 1.27490- 4 1.60000+ 1 4.31809- 5 2.09970- 4 1 37000 0 9 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.70000+ 1 1.34710- 3 5.38000- 6 1.30000+ 1 1.30000+ 1 8.65265- 2 8.29000- 6 1.30000+ 1 1.40000+ 1 2.45584- 1 9.92000- 6 1.30000+ 1 1.60000+ 1 1.18293- 1 9.07700- 5 1.30000+ 1 1.80000+ 1 1.16183- 1 1.06760- 4 1.30000+ 1 1.90000+ 1 1.77524- 1 1.07740- 4 1.30000+ 1 2.70000+ 1 3.37752- 3 1.23470- 4 1.40000+ 1 1.40000+ 1 1.67190- 2 1.15500- 5 1.40000+ 1 1.60000+ 1 1.88548- 2 9.24000- 5 1.40000+ 1 1.80000+ 1 1.74509- 1 1.08390- 4 1.40000+ 1 1.90000+ 1 1.76080- 2 1.09370- 4 1.40000+ 1 2.70000+ 1 4.58769- 4 1.25100- 4 1.60000+ 1 1.60000+ 1 3.26232- 4 1.73250- 4 1.60000+ 1 1.80000+ 1 6.36966- 3 1.89240- 4 1.60000+ 1 1.90000+ 1 8.34938- 4 1.90220- 4 1.60000+ 1 2.70000+ 1 1.63546- 5 2.05950- 4 1.80000+ 1 1.80000+ 1 3.45342- 3 2.05230- 4 1.80000+ 1 1.90000+ 1 1.12655- 2 2.06210- 4 1.80000+ 1 2.70000+ 1 1.85065- 4 2.21940- 4 1.90000+ 1 1.90000+ 1 2.95231- 4 2.07190- 4 1.90000+ 1 2.70000+ 1 2.06577- 5 2.22920- 4 1 37000 0 7 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.71050- 5 1.18090- 4 1.40000+ 1 1.61970- 4 1.19720- 4 1.60000+ 1 4.60740- 5 2.00570- 4 1 37000 0 9 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.30000+ 1 2.06103- 2 0.00000+ 0 1.30000+ 1 1.40000+ 1 6.92957- 2 5.20000- 7 1.30000+ 1 1.60000+ 1 2.80401- 2 8.13700- 5 1.30000+ 1 1.80000+ 1 1.77104- 2 9.73600- 5 1.30000+ 1 1.90000+ 1 1.51043- 1 9.83400- 5 1.30000+ 1 2.70000+ 1 7.40204- 4 1.14070- 4 1.40000+ 1 1.40000+ 1 1.30739- 1 2.15000- 6 1.40000+ 1 1.60000+ 1 1.37065- 1 8.30000- 5 1.40000+ 1 1.80000+ 1 1.19256- 1 9.89900- 5 1.40000+ 1 1.90000+ 1 2.94775- 1 9.99700- 5 1.40000+ 1 2.70000+ 1 3.88529- 3 1.15700- 4 1.60000+ 1 1.60000+ 1 2.54769- 4 1.63850- 4 1.60000+ 1 1.80000+ 1 4.26547- 4 1.79840- 4 1.60000+ 1 1.90000+ 1 7.72794- 3 1.80820- 4 1.60000+ 1 2.70000+ 1 1.25451- 5 1.96550- 4 1.80000+ 1 1.80000+ 1 8.84644- 5 1.95830- 4 1.80000+ 1 1.90000+ 1 7.50939- 3 1.96810- 4 1.80000+ 1 2.70000+ 1 1.14485- 5 2.12540- 4 1.90000+ 1 1.90000+ 1 1.03611- 2 1.97790- 4 1.90000+ 1 2.70000+ 1 2.22911- 4 2.13520- 4 1 37000 0 7 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.32000- 5 9.84700- 5 1.90000+ 1 2.43730- 6 9.94500- 5 1 37000 0 9 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.28124- 1 4.57600- 5 1.60000+ 1 1.80000+ 1 3.00460- 1 6.17500- 5 1.60000+ 1 1.90000+ 1 3.56668- 1 6.27300- 5 1.60000+ 1 2.70000+ 1 3.86716- 3 7.84600- 5 1.80000+ 1 1.80000+ 1 3.83487- 2 7.77400- 5 1.80000+ 1 1.90000+ 1 1.20434- 1 7.87200- 5 1.80000+ 1 2.70000+ 1 5.59693- 3 9.44500- 5 1.90000+ 1 1.90000+ 1 4.16794- 2 7.97000- 5 1.90000+ 1 2.70000+ 1 4.80458- 3 9.54300- 5 1 37000 0 7 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.31400- 5 9.78200- 5 1 37000 0 9 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.27512- 1 4.41300- 5 1.60000+ 1 1.80000+ 1 1.73274- 1 6.01200- 5 1.60000+ 1 1.90000+ 1 4.54659- 1 6.11000- 5 1.60000+ 1 2.70000+ 1 3.77450- 3 7.68300- 5 1.80000+ 1 1.80000+ 1 9.24850- 3 7.61100- 5 1.80000+ 1 1.90000+ 1 7.31646- 2 7.70900- 5 1.80000+ 1 2.70000+ 1 2.66481- 3 9.28200- 5 1.90000+ 1 1.90000+ 1 1.42464- 1 7.80700- 5 1.90000+ 1 2.70000+ 1 1.32256- 2 9.38000- 5 1 37000 0 7 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.43250- 7 1.59900- 5 1.90000+ 1 8.27549- 7 1.69700- 5 1 37000 0 9 8.54678+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.70000+ 1 3.52740- 1 1.19700- 5 1.90000+ 1 2.70000+ 1 6.47259- 1 1.29500- 5 1 38000 0 0 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.70000+ 1 2.00000+ 0 1 38000 0 0 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.60670- 2 3.00000+ 0 2.20010- 3 5.00000+ 0 2.01210- 3 6.00000+ 0 1.94240- 3 8.00000+ 0 3.50320- 4 1.00000+ 1 2.80320- 4 1.10000+ 1 2.69530- 4 1.30000+ 1 1.44930- 4 1.40000+ 1 1.43010- 4 1.60000+ 1 4.63900- 5 1.80000+ 1 2.84700- 5 1.90000+ 1 2.72000- 5 2.70000+ 1 5.10000- 6 1 38000 0 0 8.76200+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.03640- 2 3.00000+ 0 4.15250- 3 5.00000+ 0 4.15010- 3 6.00000+ 0 3.89420- 3 8.00000+ 0 1.04890- 3 1.00000+ 1 9.94220- 4 1.10000+ 1 9.41980- 4 1.30000+ 1 8.26100- 4 1.40000+ 1 8.13800- 4 1.60000+ 1 2.04800- 4 1.80000+ 1 1.63430- 4 1.90000+ 1 1.55020- 4 2.70000+ 1 2.21000- 5 1 38000 0 0 8.76200+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.06750-10 3.00000+ 0 9.06320-10 5.00000+ 0 7.74630-10 6.00000+ 0 7.96650-10 8.00000+ 0 2.57610- 9 1.00000+ 1 2.56330- 9 1.10000+ 1 2.61660- 9 1.30000+ 1 2.56100- 9 1.40000+ 1 2.57920- 9 1.60000+ 1 6.98560- 9 1.80000+ 1 7.84680- 9 1.90000+ 1 8.00890- 9 2.70000+ 1 2.25900- 8 1 38000 0 0 8.76200+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.14380- 6 3.00000+ 0 2.33020- 8 5.00000+ 0 3.44600- 8 6.00000+ 0 3.34850- 8 8.00000+ 0 2.54740-10 1.00000+ 1 3.12880-10 1.10000+ 1 2.75120-10 1.30000+ 1 1.58110-11 1.40000+ 1 1.47970-11 1.60000+ 1 8.79580-12 1.80000+ 1 8.60290-13 1.90000+ 1 8.68850-13 1 38000 0 0 8.76200+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.70830- 7 3.00000+ 0 6.22810- 6 5.00000+ 0 1.36620- 6 6.00000+ 0 1.29650- 6 8.00000+ 0 6.56770- 6 1.00000+ 1 2.81840- 6 1.10000+ 1 2.47330- 6 1.30000+ 1 6.05660- 8 1.40000+ 1 6.36750- 8 1.60000+ 1 6.50950- 7 1.80000+ 1 7.04760-10 1.90000+ 1 1.60000- 9 1 38000 0 0 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.75492- 4 3.00000+ 0 1.83381- 4 5.00000+ 0 1.40426- 4 6.00000+ 0 1.35217- 4 8.00000+ 0 1.05669- 4 1.00000+ 1 9.03125- 5 1.10000+ 1 8.55340- 5 1.30000+ 1 5.91236- 5 1.40000+ 1 5.82321- 5 1.60000+ 1 3.27503- 5 1.80000+ 1 2.84700- 5 1.90000+ 1 2.72000- 5 2.70000+ 1 5.10000- 6 1 38000 0 7 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.16630- 1 3.00000+ 0 2.66399- 2 5.00000+ 0 2.89356- 2 6.00000+ 0 2.68293- 2 8.00000+ 0 3.60057- 4 1.00000+ 1 3.38442- 4 1.10000+ 1 3.05975- 4 1.30000+ 1 2.86527- 5 1.40000+ 1 2.44360- 5 1.60000+ 1 1.95750- 6 1 38000 0 7 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.89200- 3 3.00000+ 0 4.75644- 5 5.00000+ 0 5.26098- 5 6.00000+ 0 4.69784- 5 8.00000+ 0 6.29168- 8 1.00000+ 1 5.06598- 8 1.10000+ 1 4.43592- 8 1.30000+ 1 3.17365- 9 1.40000+ 1 2.67050- 9 1.60000+ 1 3.68506-11 1 38000 0 9 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.37528+ 0 3.00000+ 0 7.81104+ 0 5.00000+ 0 5.70956+ 0 6.00000+ 0 5.45554+ 0 8.00000+ 0 4.03275+ 0 1.00000+ 1 3.31813+ 0 1.10000+ 1 2.99613+ 0 1.30000+ 1 1.88191+ 0 1.40000+ 1 1.83979+ 0 1.60000+ 1 9.99998- 1 1 38000 0 9 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.99951- 3 3.00000+ 0 1.96915- 3 5.00000+ 0 1.81906- 3 6.00000+ 0 1.76020- 3 8.00000+ 0 2.44588- 4 1.00000+ 1 1.89957- 4 1.10000+ 1 1.83952- 4 1.30000+ 1 8.58032- 5 1.40000+ 1 8.47752- 5 1.60000+ 1 1.36397- 5 1 38000 0 7 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.01262- 1 1.40549- 2 6.00000+ 0 3.86455- 1 1.41246- 2 1.00000+ 1 2.93724- 2 1.57867- 2 1.10000+ 1 5.72517- 2 1.57975- 2 1.30000+ 1 1.03471- 4 1.59221- 2 1.40000+ 1 1.47642- 4 1.59240- 2 1.80000+ 1 3.80545- 3 1.60385- 2 1.90000+ 1 7.27519- 3 1.60398- 2 1 38000 0 9 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 2.19164- 2 1.16668- 2 3.00000+ 0 5.00000+ 0 2.45900- 2 1.18548- 2 3.00000+ 0 6.00000+ 0 3.94917- 2 1.19245- 2 3.00000+ 0 8.00000+ 0 6.72035- 3 1.35166- 2 3.00000+ 0 1.00000+ 1 3.86748- 3 1.35866- 2 3.00000+ 0 1.10000+ 1 6.17248- 3 1.35974- 2 3.00000+ 0 1.30000+ 1 3.00465- 4 1.37220- 2 3.00000+ 0 1.40000+ 1 3.82402- 4 1.37239- 2 3.00000+ 0 1.60000+ 1 1.01513- 3 1.38205- 2 3.00000+ 0 1.80000+ 1 4.89038- 4 1.38384- 2 3.00000+ 0 1.90000+ 1 7.78046- 4 1.38397- 2 3.00000+ 0 2.70000+ 1 1.27766- 4 1.38618- 2 5.00000+ 0 5.00000+ 0 4.00268- 3 1.20428- 2 5.00000+ 0 6.00000+ 0 9.11413- 2 1.21125- 2 5.00000+ 0 8.00000+ 0 3.14354- 3 1.37046- 2 5.00000+ 0 1.00000+ 1 1.15949- 3 1.37746- 2 5.00000+ 0 1.10000+ 1 1.20840- 2 1.37854- 2 5.00000+ 0 1.30000+ 1 4.00016- 4 1.39100- 2 5.00000+ 0 1.40000+ 1 1.43612- 3 1.39119- 2 5.00000+ 0 1.60000+ 1 4.60810- 4 1.40085- 2 5.00000+ 0 1.80000+ 1 1.45377- 4 1.40264- 2 5.00000+ 0 1.90000+ 1 1.48988- 3 1.40277- 2 5.00000+ 0 2.70000+ 1 5.81528- 5 1.40498- 2 6.00000+ 0 6.00000+ 0 4.88691- 2 1.21822- 2 6.00000+ 0 8.00000+ 0 5.05765- 3 1.37743- 2 6.00000+ 0 1.00000+ 1 1.20211- 2 1.38443- 2 6.00000+ 0 1.10000+ 1 1.32293- 2 1.38551- 2 6.00000+ 0 1.30000+ 1 1.75874- 3 1.39797- 2 6.00000+ 0 1.40000+ 1 1.68915- 3 1.39816- 2 6.00000+ 0 1.60000+ 1 7.41882- 4 1.40782- 2 6.00000+ 0 1.80000+ 1 1.48552- 3 1.40961- 2 6.00000+ 0 1.90000+ 1 1.63619- 3 1.40974- 2 6.00000+ 0 2.70000+ 1 9.33963- 5 1.41195- 2 8.00000+ 0 8.00000+ 0 5.08453- 4 1.53664- 2 8.00000+ 0 1.00000+ 1 4.98730- 4 1.54364- 2 8.00000+ 0 1.10000+ 1 7.94783- 4 1.54471- 2 8.00000+ 0 1.30000+ 1 3.61258- 5 1.55717- 2 8.00000+ 0 1.40000+ 1 4.49379- 5 1.55737- 2 8.00000+ 0 1.60000+ 1 1.53316- 4 1.56703- 2 8.00000+ 0 1.80000+ 1 6.34457- 5 1.56882- 2 8.00000+ 0 1.90000+ 1 1.00451- 4 1.56895- 2 8.00000+ 0 2.70000+ 1 1.93852- 5 1.57116- 2 1.00000+ 1 1.00000+ 1 8.00282- 5 1.55064- 2 1.00000+ 1 1.10000+ 1 1.60935- 3 1.55171- 2 1.00000+ 1 1.30000+ 1 4.13311- 5 1.56418- 2 1.00000+ 1 1.40000+ 1 1.51262- 4 1.56437- 2 1.00000+ 1 1.60000+ 1 7.29901- 5 1.57403- 2 1.00000+ 1 1.80000+ 1 2.02267- 5 1.57582- 2 1.00000+ 1 1.90000+ 1 1.98743- 4 1.57595- 2 1.00000+ 1 2.70000+ 1 8.79410- 6 1.57816- 2 1.10000+ 1 1.10000+ 1 8.84013- 4 1.55279- 2 1.10000+ 1 1.30000+ 1 1.87577- 4 1.56525- 2 1.10000+ 1 1.40000+ 1 1.76285- 4 1.56545- 2 1.10000+ 1 1.60000+ 1 1.15492- 4 1.57511- 2 1.10000+ 1 1.80000+ 1 1.96254- 4 1.57690- 2 1.10000+ 1 1.90000+ 1 2.18838- 4 1.57703- 2 1.10000+ 1 2.70000+ 1 1.47629- 5 1.57924- 2 1.30000+ 1 1.40000+ 1 1.85031- 5 1.57791- 2 1.30000+ 1 1.60000+ 1 5.28648- 6 1.58757- 2 1.30000+ 1 1.80000+ 1 5.28648- 6 1.58936- 2 1.30000+ 1 1.90000+ 1 2.29095- 5 1.58949- 2 1.30000+ 1 2.70000+ 1 8.81120- 7 1.59170- 2 1.40000+ 1 1.40000+ 1 4.59420- 6 1.57810- 2 1.40000+ 1 1.60000+ 1 6.43169- 6 1.58776- 2 1.40000+ 1 1.80000+ 1 1.92951- 5 1.58955- 2 1.40000+ 1 1.90000+ 1 2.20528- 5 1.58968- 2 1.40000+ 1 2.70000+ 1 9.18841- 7 1.59189- 2 1.60000+ 1 1.60000+ 1 9.55047- 6 1.59742- 2 1.60000+ 1 1.80000+ 1 8.08142- 6 1.59921- 2 1.60000+ 1 1.90000+ 1 1.24895- 5 1.59934- 2 1.60000+ 1 2.70000+ 1 2.20400- 6 1.60155- 2 1.80000+ 1 1.80000+ 1 8.20672- 7 1.60101- 2 1.80000+ 1 1.90000+ 1 2.29790- 5 1.60113- 2 1.80000+ 1 2.70000+ 1 8.20672- 7 1.60334- 2 1.90000+ 1 1.90000+ 1 1.19272- 5 1.60126- 2 1.90000+ 1 2.70000+ 1 1.49095- 6 1.60347- 2 1 38000 0 7 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.42440- 5 1.88000- 4 6.00000+ 0 8.55393- 5 2.57700- 4 1.00000+ 1 1.34140- 3 1.91978- 3 1.10000+ 1 2.36111- 3 1.93057- 3 1.30000+ 1 9.07693- 6 2.05517- 3 1.40000+ 1 1.35100- 5 2.05709- 3 1.80000+ 1 1.69321- 4 2.17163- 3 1.90000+ 1 3.00261- 4 2.17290- 3 1 38000 0 9 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.30000+ 1 5.10354- 2 4.30700- 5 5.00000+ 0 1.40000+ 1 8.22803- 2 4.49900- 5 5.00000+ 0 1.60000+ 1 1.71475- 2 1.41610- 4 5.00000+ 0 1.80000+ 1 1.05113- 2 1.59530- 4 5.00000+ 0 1.90000+ 1 1.46117- 2 1.60800- 4 5.00000+ 0 2.70000+ 1 2.10437- 3 1.82900- 4 6.00000+ 0 1.30000+ 1 2.35463- 1 1.12770- 4 6.00000+ 0 1.40000+ 1 3.36556- 1 1.14690- 4 6.00000+ 0 1.60000+ 1 2.75232- 2 2.11310- 4 6.00000+ 0 1.80000+ 1 1.13720- 2 2.29230- 4 6.00000+ 0 1.90000+ 1 2.37029- 2 2.30500- 4 6.00000+ 0 2.70000+ 1 3.42494- 3 2.52600- 4 8.00000+ 0 8.00000+ 0 6.99334- 3 1.49946- 3 8.00000+ 0 1.00000+ 1 1.34432- 2 1.56946- 3 8.00000+ 0 1.10000+ 1 2.57968- 2 1.58025- 3 8.00000+ 0 1.30000+ 1 1.90554- 2 1.70485- 3 8.00000+ 0 1.40000+ 1 2.77049- 2 1.70677- 3 8.00000+ 0 1.60000+ 1 1.85719- 3 1.80339- 3 8.00000+ 0 1.80000+ 1 1.68746- 3 1.82131- 3 8.00000+ 0 1.90000+ 1 3.22734- 3 1.82258- 3 8.00000+ 0 2.70000+ 1 2.31720- 4 1.84468- 3 1.00000+ 1 1.00000+ 1 1.31922- 4 1.63946- 3 1.00000+ 1 1.10000+ 1 5.67221- 4 1.65025- 3 1.00000+ 1 1.30000+ 1 3.61325- 4 1.77485- 3 1.00000+ 1 1.40000+ 1 6.29282- 3 1.77677- 3 1.00000+ 1 1.60000+ 1 1.50489- 3 1.87339- 3 1.00000+ 1 1.80000+ 1 2.29416- 5 1.89131- 3 1.00000+ 1 1.90000+ 1 6.82502- 5 1.89258- 3 1.00000+ 1 2.70000+ 1 1.82957- 4 1.91468- 3 1.10000+ 1 1.10000+ 1 6.41298- 4 1.66104- 3 1.10000+ 1 1.30000+ 1 5.88660- 3 1.78564- 3 1.10000+ 1 1.40000+ 1 4.14686- 3 1.78756- 3 1.10000+ 1 1.60000+ 1 2.93661- 3 1.88418- 3 1.10000+ 1 1.80000+ 1 6.93762- 5 1.90210- 3 1.10000+ 1 1.90000+ 1 1.32922- 4 1.90337- 3 1.10000+ 1 2.70000+ 1 3.57375- 4 1.92547- 3 1.30000+ 1 1.30000+ 1 8.60887- 4 1.91024- 3 1.30000+ 1 1.40000+ 1 3.70107- 2 1.91216- 3 1.30000+ 1 1.60000+ 1 2.04819- 3 2.00878- 3 1.30000+ 1 1.80000+ 1 5.96484- 5 2.02670- 3 1.30000+ 1 1.90000+ 1 7.12346- 4 2.02797- 3 1.30000+ 1 2.70000+ 1 2.48341- 4 2.05007- 3 1.40000+ 1 1.40000+ 1 1.03391- 2 1.91408- 3 1.40000+ 1 1.60000+ 1 2.98410- 3 2.01070- 3 1.40000+ 1 1.80000+ 1 7.46167- 4 2.02862- 3 1.40000+ 1 1.90000+ 1 5.20767- 4 2.02989- 3 1.40000+ 1 2.70000+ 1 3.61895- 4 2.05199- 3 1.60000+ 1 1.60000+ 1 1.19293- 4 2.10732- 3 1.60000+ 1 1.80000+ 1 1.89266- 4 2.12524- 3 1.60000+ 1 1.90000+ 1 3.61889- 4 2.12651- 3 1.60000+ 1 2.70000+ 1 2.98234- 5 2.14861- 3 1.80000+ 1 1.80000+ 1 1.03044- 6 2.14316- 3 1.80000+ 1 1.90000+ 1 7.21323- 6 2.14443- 3 1.80000+ 1 2.70000+ 1 2.06094- 5 2.16653- 3 1.90000+ 1 1.90000+ 1 6.88239- 6 2.14570- 3 1.90000+ 1 2.70000+ 1 4.41618- 5 2.16780- 3 1 38000 0 7 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.52670- 9 6.97000- 5 8.00000+ 0 3.19830- 3 1.66178- 3 1.10000+ 1 2.53380- 5 1.74257- 3 1.30000+ 1 2.23780- 2 1.86717- 3 1.60000+ 1 1.87380- 4 1.96571- 3 1.90000+ 1 6.35231- 7 1.98490- 3 1 38000 0 9 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 2.09968- 2 2.33100- 5 6.00000+ 0 1.80000+ 1 6.06555- 2 4.12300- 5 6.00000+ 0 1.90000+ 1 2.37161- 2 4.25000- 5 6.00000+ 0 2.70000+ 1 2.34175- 3 6.46000- 5 8.00000+ 0 8.00000+ 0 1.83746- 3 1.31146- 3 8.00000+ 0 1.00000+ 1 3.75582- 2 1.38146- 3 8.00000+ 0 1.10000+ 1 3.44401- 3 1.39225- 3 8.00000+ 0 1.30000+ 1 1.97718- 3 1.51685- 3 8.00000+ 0 1.40000+ 1 5.20966- 3 1.51877- 3 8.00000+ 0 1.60000+ 1 4.63740- 4 1.61539- 3 8.00000+ 0 1.80000+ 1 3.55268- 3 1.63331- 3 8.00000+ 0 1.90000+ 1 3.91941- 4 1.63458- 3 8.00000+ 0 2.70000+ 1 5.82088- 5 1.65668- 3 1.00000+ 1 1.00000+ 1 3.50677- 2 1.45146- 3 1.00000+ 1 1.10000+ 1 1.16919- 1 1.46225- 3 1.00000+ 1 1.30000+ 1 5.75226- 2 1.58685- 3 1.00000+ 1 1.40000+ 1 1.05095- 1 1.58877- 3 1.00000+ 1 1.60000+ 1 5.78382- 3 1.68539- 3 1.00000+ 1 1.80000+ 1 7.80361- 3 1.70331- 3 1.00000+ 1 1.90000+ 1 1.43835- 2 1.70458- 3 1.00000+ 1 2.70000+ 1 7.35369- 4 1.72668- 3 1.10000+ 1 1.10000+ 1 3.19371- 3 1.47304- 3 1.10000+ 1 1.30000+ 1 7.11538- 2 1.59764- 3 1.10000+ 1 1.40000+ 1 9.86226- 3 1.59956- 3 1.10000+ 1 1.60000+ 1 4.65674- 4 1.69618- 3 1.10000+ 1 1.80000+ 1 1.14014- 2 1.71410- 3 1.10000+ 1 1.90000+ 1 6.81038- 4 1.71537- 3 1.10000+ 1 2.70000+ 1 5.82084- 5 1.73747- 3 1.30000+ 1 1.30000+ 1 6.08399- 2 1.72224- 3 1.30000+ 1 1.40000+ 1 2.69924- 1 1.72416- 3 1.30000+ 1 1.60000+ 1 3.16254- 4 1.82078- 3 1.30000+ 1 1.80000+ 1 5.58213- 3 1.83870- 3 1.30000+ 1 1.90000+ 1 8.39760- 3 1.83997- 3 1.30000+ 1 2.70000+ 1 4.07457- 5 1.86207- 3 1.40000+ 1 1.40000+ 1 1.28160- 2 1.72608- 3 1.40000+ 1 1.60000+ 1 7.15999- 4 1.82270- 3 1.40000+ 1 1.80000+ 1 9.43404- 3 1.84062- 3 1.40000+ 1 1.90000+ 1 1.08074- 3 1.84189- 3 1.40000+ 1 2.70000+ 1 8.92557- 5 1.86399- 3 1.60000+ 1 1.60000+ 1 2.91038- 5 1.91932- 3 1.60000+ 1 1.80000+ 1 5.49098- 4 1.93724- 3 1.60000+ 1 1.90000+ 1 5.23880- 5 1.93851- 3 1.60000+ 1 2.70000+ 1 7.76099- 6 1.96061- 3 1.80000+ 1 1.80000+ 1 4.22971- 4 1.95516- 3 1.80000+ 1 1.90000+ 1 1.40278- 3 1.95643- 3 1.80000+ 1 2.70000+ 1 6.98494- 5 1.97853- 3 1.90000+ 1 1.90000+ 1 9.51812- 5 1.95770- 3 1.90000+ 1 2.70000+ 1 1.50289- 5 1.97980- 3 1 38000 0 7 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.16371- 3 1.59208- 3 1.00000+ 1 1.54100- 5 1.66208- 3 1.10000+ 1 1.46510- 5 1.67287- 3 1.30000+ 1 2.13350- 3 1.79747- 3 1.40000+ 1 2.00610- 2 1.79939- 3 1.60000+ 1 1.72440- 4 1.89601- 3 1.80000+ 1 3.08341- 7 1.91393- 3 1.90000+ 1 2.95621- 7 1.91520- 3 1 38000 0 9 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.11241- 3 1.24176- 3 8.00000+ 0 1.00000+ 1 1.58126- 3 1.31176- 3 8.00000+ 0 1.10000+ 1 4.17960- 2 1.32255- 3 8.00000+ 0 1.30000+ 1 3.77536- 3 1.44715- 3 8.00000+ 0 1.40000+ 1 4.05127- 3 1.44907- 3 8.00000+ 0 1.60000+ 1 5.33216- 4 1.54569- 3 8.00000+ 0 1.80000+ 1 1.75691- 4 1.56361- 3 8.00000+ 0 1.90000+ 1 3.97558- 3 1.56488- 3 8.00000+ 0 2.70000+ 1 6.53755- 5 1.58698- 3 1.00000+ 1 1.00000+ 1 5.88381- 4 1.38176- 3 1.00000+ 1 1.10000+ 1 6.75999- 2 1.39255- 3 1.00000+ 1 1.30000+ 1 4.33520- 3 1.51715- 3 1.00000+ 1 1.40000+ 1 3.96422- 2 1.51907- 3 1.00000+ 1 1.60000+ 1 2.10434- 4 1.61569- 3 1.00000+ 1 1.80000+ 1 1.28709- 4 1.63361- 3 1.00000+ 1 1.90000+ 1 6.59891- 3 1.63488- 3 1.00000+ 1 2.70000+ 1 2.65586- 5 1.65698- 3 1.10000+ 1 1.10000+ 1 9.81055- 2 1.40334- 3 1.10000+ 1 1.30000+ 1 8.98120- 2 1.52794- 3 1.10000+ 1 1.40000+ 1 1.37370- 1 1.52986- 3 1.10000+ 1 1.60000+ 1 6.39060- 3 1.62648- 3 1.10000+ 1 1.80000+ 1 8.24391- 3 1.64440- 3 1.10000+ 1 1.90000+ 1 2.16478- 2 1.64567- 3 1.10000+ 1 2.70000+ 1 8.11110- 4 1.66777- 3 1.30000+ 1 1.30000+ 1 1.18183- 2 1.65254- 3 1.30000+ 1 1.40000+ 1 2.32629- 1 1.65446- 3 1.30000+ 1 1.60000+ 1 5.37297- 4 1.75108- 3 1.30000+ 1 1.80000+ 1 5.27081- 4 1.76900- 3 1.30000+ 1 1.90000+ 1 8.34135- 3 1.77027- 3 1.30000+ 1 2.70000+ 1 6.74182- 5 1.79237- 3 1.40000+ 1 1.40000+ 1 1.58174- 1 1.65638- 3 1.40000+ 1 1.60000+ 1 6.06755- 4 1.75300- 3 1.40000+ 1 1.80000+ 1 4.59455- 3 1.77092- 3 1.40000+ 1 1.90000+ 1 1.37674- 2 1.77219- 3 1.40000+ 1 2.70000+ 1 7.76323- 5 1.79429- 3 1.60000+ 1 1.60000+ 1 3.18542- 5 1.84962- 3 1.60000+ 1 1.80000+ 1 2.38918- 5 1.86754- 3 1.60000+ 1 1.90000+ 1 5.93302- 4 1.86881- 3 1.60000+ 1 2.70000+ 1 7.96360- 6 1.89091- 3 1.80000+ 1 1.80000+ 1 6.12892- 6 1.88546- 3 1.80000+ 1 1.90000+ 1 8.04940- 4 1.88673- 3 1.80000+ 1 2.70000+ 1 2.04290- 6 1.90883- 3 1.90000+ 1 1.90000+ 1 1.17277- 3 1.88800- 3 1.90000+ 1 2.70000+ 1 7.76346- 5 1.91010- 3 1 38000 0 7 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.28771- 5 7.00000- 5 1.10000+ 1 3.81493- 5 8.07900- 5 1.80000+ 1 3.08013- 5 3.21850- 4 1.90000+ 1 4.81773- 5 3.23120- 4 1 38000 0 9 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 7.10855- 2 2.36100- 5 1.00000+ 1 1.80000+ 1 5.70898- 2 4.15300- 5 1.00000+ 1 1.90000+ 1 1.25192- 1 4.28000- 5 1.00000+ 1 2.70000+ 1 5.46332- 3 6.49000- 5 1.10000+ 1 1.60000+ 1 1.23319- 1 3.44000- 5 1.10000+ 1 1.80000+ 1 1.17826- 1 5.23200- 5 1.10000+ 1 1.90000+ 1 1.92780- 1 5.35900- 5 1.10000+ 1 2.70000+ 1 9.61558- 3 7.56900- 5 1.30000+ 1 1.30000+ 1 9.49246- 3 6.04600- 5 1.30000+ 1 1.40000+ 1 9.57209- 3 6.23800- 5 1.30000+ 1 1.60000+ 1 4.77473- 2 1.59000- 4 1.30000+ 1 1.80000+ 1 6.98746- 3 1.76920- 4 1.30000+ 1 1.90000+ 1 5.56455- 3 1.78190- 4 1.30000+ 1 2.70000+ 1 3.15935- 3 2.00290- 4 1.40000+ 1 1.40000+ 1 1.54710- 2 6.43000- 5 1.40000+ 1 1.60000+ 1 7.07817- 2 1.60920- 4 1.40000+ 1 1.80000+ 1 2.54760- 3 1.78840- 4 1.40000+ 1 1.90000+ 1 1.45626- 2 1.80110- 4 1.40000+ 1 2.70000+ 1 4.67734- 3 2.02210- 4 1.60000+ 1 1.60000+ 1 1.93001- 2 2.57540- 4 1.60000+ 1 1.80000+ 1 2.50056- 2 2.75460- 4 1.60000+ 1 1.90000+ 1 4.75857- 2 2.76730- 4 1.60000+ 1 2.70000+ 1 2.84378- 3 2.98830- 4 1.80000+ 1 1.80000+ 1 1.22711- 3 2.93380- 4 1.80000+ 1 1.90000+ 1 3.24939- 3 2.94650- 4 1.80000+ 1 2.70000+ 1 1.28261- 3 3.16750- 4 1.90000+ 1 1.90000+ 1 3.99461- 3 2.95920- 4 1.90000+ 1 2.70000+ 1 2.44610- 3 3.18020- 4 1 38000 0 7 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.48320- 4 1.35390- 4 1.60000+ 1 5.72540- 5 2.33930- 4 1 38000 0 9 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.70000+ 1 4.90330- 3 5.69000- 6 1.30000+ 1 1.30000+ 1 7.14962- 2 0.00000+ 0 1.30000+ 1 1.40000+ 1 8.81671- 2 0.00000+ 0 1.30000+ 1 1.60000+ 1 1.43935- 1 8.90000- 5 1.30000+ 1 1.80000+ 1 1.45906- 1 1.06920- 4 1.30000+ 1 1.90000+ 1 2.25115- 1 1.08190- 4 1.30000+ 1 2.70000+ 1 1.17208- 2 1.30290- 4 1.40000+ 1 1.40000+ 1 1.51679- 2 0.00000+ 0 1.40000+ 1 1.60000+ 1 2.28890- 2 9.09200- 5 1.40000+ 1 1.80000+ 1 2.15547- 1 1.08840- 4 1.40000+ 1 1.90000+ 1 2.21108- 2 1.10110- 4 1.40000+ 1 2.70000+ 1 1.55551- 3 1.32210- 4 1.60000+ 1 1.60000+ 1 4.25855- 4 1.87540- 4 1.60000+ 1 1.80000+ 1 7.97606- 3 2.05460- 4 1.60000+ 1 1.90000+ 1 1.10211- 3 2.06730- 4 1.60000+ 1 2.70000+ 1 6.09692- 5 2.28830- 4 1.80000+ 1 1.80000+ 1 4.79417- 3 2.23380- 4 1.80000+ 1 1.90000+ 1 1.56348- 2 2.24650- 4 1.80000+ 1 2.70000+ 1 7.01011- 4 2.46750- 4 1.90000+ 1 1.90000+ 1 4.06517- 4 2.25920- 4 1.90000+ 1 2.70000+ 1 8.01430- 5 2.48020- 4 1 38000 0 7 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.06602- 5 1.24600- 4 1.40000+ 1 1.96722- 4 1.26520- 4 1.60000+ 1 6.36015- 5 2.23140- 4 1 38000 0 9 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 3.45599- 2 7.82100- 5 1.30000+ 1 1.80000+ 1 2.29524- 2 9.61300- 5 1.30000+ 1 1.90000+ 1 1.89774- 1 9.74000- 5 1.30000+ 1 2.70000+ 1 2.57597- 3 1.19500- 4 1.40000+ 1 1.60000+ 1 1.69019- 1 8.01300- 5 1.40000+ 1 1.80000+ 1 1.53944- 1 9.80500- 5 1.40000+ 1 1.90000+ 1 3.75672- 1 9.93200- 5 1.40000+ 1 2.70000+ 1 1.36510- 2 1.21420- 4 1.60000+ 1 1.60000+ 1 3.61574- 4 1.76750- 4 1.60000+ 1 1.80000+ 1 5.95652- 4 1.94670- 4 1.60000+ 1 1.90000+ 1 1.03292- 2 1.95940- 4 1.60000+ 1 2.70000+ 1 5.16529- 5 2.18040- 4 1.80000+ 1 1.80000+ 1 1.25711- 4 2.12590- 4 1.80000+ 1 1.90000+ 1 1.05521- 2 2.13860- 4 1.80000+ 1 2.70000+ 1 4.62497- 5 2.35960- 4 1.90000+ 1 1.90000+ 1 1.46486- 2 2.15130- 4 1.90000+ 1 2.70000+ 1 8.60556- 4 2.37230- 4 1 38000 0 7 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.27441- 5 1.16460- 4 1.90000+ 1 4.18221- 6 1.17730- 4 1 38000 0 9 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.04606- 1 5.21500- 5 1.60000+ 1 1.80000+ 1 3.02847- 1 7.00700- 5 1.60000+ 1 1.90000+ 1 3.60977- 1 7.13400- 5 1.60000+ 1 2.70000+ 1 8.90187- 3 9.34400- 5 1.80000+ 1 1.80000+ 1 2.44974- 2 8.79900- 5 1.80000+ 1 1.90000+ 1 1.25355- 1 8.92600- 5 1.80000+ 1 2.70000+ 1 1.46484- 2 1.11360- 4 1.90000+ 1 1.90000+ 1 4.57023- 2 9.05300- 5 1.90000+ 1 2.70000+ 1 1.24379- 2 1.12630- 4 1 38000 0 7 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.27921- 5 1.15810- 4 1 38000 0 9 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.02406- 1 5.02300- 5 1.60000+ 1 1.80000+ 1 1.75003- 1 6.81500- 5 1.60000+ 1 1.90000+ 1 4.51299- 1 6.94200- 5 1.60000+ 1 2.70000+ 1 8.69572- 3 9.15200- 5 1.80000+ 1 1.80000+ 1 7.59466- 3 8.60700- 5 1.80000+ 1 1.90000+ 1 7.93690- 2 8.73400- 5 1.80000+ 1 2.70000+ 1 6.96886- 3 1.09440- 4 1.90000+ 1 1.90000+ 1 1.30926- 1 8.86100- 5 1.90000+ 1 2.70000+ 1 3.77146- 2 1.10710- 4 1 38000 0 7 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 5.62070- 7 1.79200- 5 1.90000+ 1 1.39543- 6 1.91900- 5 1 38000 0 9 8.76200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.70000+ 1 3.54579- 1 1.28200- 5 1.90000+ 1 2.70000+ 1 6.45419- 1 1.40900- 5 1 39000 0 0 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000- 1 2.20000+ 1 6.00000- 1 2.70000+ 1 2.00000+ 0 1 39000 0 0 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.70000- 2 3.00000+ 0 2.35490- 3 5.00000+ 0 2.15970- 3 6.00000+ 0 2.08150- 3 8.00000+ 0 3.85790- 4 1.00000+ 1 3.12260- 4 1.10000+ 1 2.99920- 4 1.30000+ 1 1.68740- 4 1.40000+ 1 1.66510- 4 1.60000+ 1 5.33500- 5 1.80000+ 1 3.37100- 5 1.90000+ 1 3.21400- 5 2.10000+ 1 5.24000- 6 2.20000+ 1 5.13000- 6 2.70000+ 1 5.68000- 6 1 39000 0 0 8.89059+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.15320- 2 3.00000+ 0 4.41470- 3 5.00000+ 0 4.41330- 3 6.00000+ 0 4.12680- 3 8.00000+ 0 1.13070- 3 1.00000+ 1 1.07530- 3 1.10000+ 1 1.01650- 3 1.30000+ 1 9.01120- 4 1.40000+ 1 8.87190- 4 1.60000+ 1 2.32920- 4 1.80000+ 1 1.89780- 4 1.90000+ 1 1.79680- 4 2.10000+ 1 7.78200- 5 2.20000+ 1 7.61800- 5 2.70000+ 1 2.70000- 5 1 39000 0 0 8.89059+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.01110-10 3.00000+ 0 8.80060-10 5.00000+ 0 7.51080-10 6.00000+ 0 7.73480-10 8.00000+ 0 2.48570- 9 1.00000+ 1 2.46600- 9 1.10000+ 1 2.51970- 9 1.30000+ 1 2.44050- 9 1.40000+ 1 2.45870- 9 1.60000+ 1 6.60720- 9 1.80000+ 1 7.34090- 9 1.90000+ 1 7.49530- 9 2.10000+ 1 1.21870- 8 2.20000+ 1 1.23220- 8 2.70000+ 1 2.07680- 8 1 39000 0 0 8.89059+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.40440- 6 3.00000+ 0 2.71130- 8 5.00000+ 0 4.04470- 8 6.00000+ 0 3.92480- 8 8.00000+ 0 3.21050-10 1.00000+ 1 3.55470-10 1.10000+ 1 3.12250-10 1.30000+ 1 2.10770-11 1.40000+ 1 1.96410-11 1.60000+ 1 1.04950-11 1.80000+ 1 3.30880-12 1.90000+ 1 3.11800-12 1 39000 0 0 8.89059+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.89930- 7 3.00000+ 0 6.01090- 6 5.00000+ 0 1.45280- 6 6.00000+ 0 1.37360- 6 8.00000+ 0 7.09460- 6 1.00000+ 1 2.51820- 6 1.10000+ 1 2.67640- 6 1.30000+ 1 6.24570- 8 1.40000+ 1 6.59510- 8 1.60000+ 1 2.25900- 6 1.80000+ 1 6.39700- 8 1.90000+ 1 6.06030- 8 1 39000 0 0 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.95213- 5 3.00000+ 0 7.44196- 5 5.00000+ 0 5.63953- 5 6.00000+ 0 5.48539- 5 8.00000+ 0 4.32146- 5 1.00000+ 1 3.52299- 5 1.10000+ 1 3.49872- 5 1.30000+ 1 2.42230- 5 1.40000+ 1 2.40227- 5 1.60000+ 1 1.58675- 5 1.80000+ 1 1.05633- 5 1.90000+ 1 1.05948- 5 2.10000+ 1 5.24000- 6 2.20000+ 1 5.13000- 6 2.70000+ 1 5.68000- 6 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.40627- 1 3.00000+ 0 2.94770- 2 5.00000+ 0 3.20324- 2 6.00000+ 0 2.95947- 2 8.00000+ 0 4.34332- 4 1.00000+ 1 4.18682- 4 1.10000+ 1 3.80382- 4 1.30000+ 1 4.59797- 5 1.40000+ 1 3.94919- 5 1.60000+ 1 3.06808- 6 1.80000+ 1 1.33060- 7 1.90000+ 1 3.30990- 8 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.07849- 2 3.00000+ 0 5.59572- 5 5.00000+ 0 6.21266- 5 6.00000+ 0 5.51703- 5 8.00000+ 0 8.36032- 8 1.00000+ 1 6.87562- 8 1.10000+ 1 6.07176- 8 1.30000+ 1 5.93763- 9 1.40000+ 1 5.03410- 9 1.60000+ 1 6.41881-11 1.80000+ 1 3.76994-12 1.90000+ 1 8.88186-13 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.21221+ 1 3.00000+ 0 1.30460+ 1 5.00000+ 0 9.64471+ 0 6.00000+ 0 9.35372+ 0 8.00000+ 0 7.15412+ 0 1.00000+ 1 5.64970+ 0 1.10000+ 1 5.60336+ 0 1.30000+ 1 3.57108+ 0 1.40000+ 1 3.53520+ 0 1.60000+ 1 1.99008+ 0 1.80000+ 1 1.00000+ 0 1.90000+ 1 1.00000+ 0 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.14562- 3 3.00000+ 0 2.22452- 3 5.00000+ 0 2.04118- 3 6.00000+ 0 1.97148- 3 8.00000+ 0 3.42492- 4 1.00000+ 1 2.76961- 4 1.10000+ 1 2.64872- 4 1.30000+ 1 1.44511- 4 1.40000+ 1 1.42482- 4 1.60000+ 1 3.74824- 5 1.80000+ 1 2.31467- 5 1.90000+ 1 2.15452- 5 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.06808- 1 1.48403- 2 6.00000+ 0 3.96256- 1 1.49185- 2 1.00000+ 1 3.07037- 2 1.66877- 2 1.10000+ 1 5.98234- 2 1.67001- 2 1.30000+ 1 1.17909- 4 1.68313- 2 1.40000+ 1 1.67888- 4 1.68335- 2 1.80000+ 1 4.52636- 3 1.69663- 2 1.90000+ 1 8.71401- 3 1.69679- 2 2.10000+ 1 6.95743- 7 1.69948- 2 2.20000+ 1 9.83070- 7 1.69949- 2 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 2.05016- 2 1.22902- 2 3.00000+ 0 5.00000+ 0 2.30498- 2 1.24854- 2 3.00000+ 0 6.00000+ 0 3.64985- 2 1.25636- 2 3.00000+ 0 8.00000+ 0 6.37286- 3 1.42593- 2 3.00000+ 0 1.00000+ 1 3.69254- 3 1.43328- 2 3.00000+ 0 1.10000+ 1 5.81573- 3 1.43452- 2 3.00000+ 0 1.30000+ 1 2.93071- 4 1.44764- 2 3.00000+ 0 1.40000+ 1 3.69576- 4 1.44786- 2 3.00000+ 0 1.60000+ 1 1.01041- 3 1.45917- 2 3.00000+ 0 1.80000+ 1 4.99232- 4 1.46114- 2 3.00000+ 0 1.90000+ 1 7.83425- 4 1.46130- 2 3.00000+ 0 2.10000+ 1 2.41547- 6 1.46399- 2 3.00000+ 0 2.20000+ 1 2.41547- 6 1.46400- 2 3.00000+ 0 2.70000+ 1 1.26412- 4 1.46394- 2 5.00000+ 0 5.00000+ 0 3.71064- 3 1.26806- 2 5.00000+ 0 6.00000+ 0 8.40673- 2 1.27588- 2 5.00000+ 0 8.00000+ 0 2.98502- 3 1.44545- 2 5.00000+ 0 1.00000+ 1 1.09023- 3 1.45280- 2 5.00000+ 0 1.10000+ 1 1.13392- 2 1.45404- 2 5.00000+ 0 1.30000+ 1 3.86502- 4 1.46716- 2 5.00000+ 0 1.40000+ 1 1.38413- 3 1.46738- 2 5.00000+ 0 1.60000+ 1 4.58972- 4 1.47869- 2 5.00000+ 0 1.80000+ 1 1.45745- 4 1.48066- 2 5.00000+ 0 1.90000+ 1 1.49200- 3 1.48082- 2 5.00000+ 0 2.10000+ 1 2.41561- 6 1.48351- 2 5.00000+ 0 2.20000+ 1 9.66263- 6 1.48352- 2 5.00000+ 0 2.70000+ 1 5.71733- 5 1.48346- 2 6.00000+ 0 6.00000+ 0 4.49051- 2 1.28370- 2 6.00000+ 0 8.00000+ 0 4.73125- 3 1.45327- 2 6.00000+ 0 1.00000+ 1 1.12661- 2 1.46062- 2 6.00000+ 0 1.10000+ 1 1.23690- 2 1.46186- 2 6.00000+ 0 1.30000+ 1 1.69248- 3 1.47498- 2 6.00000+ 0 1.40000+ 1 1.62077- 3 1.47520- 2 6.00000+ 0 1.60000+ 1 7.27848- 4 1.48651- 2 6.00000+ 0 1.80000+ 1 1.48558- 3 1.48848- 2 6.00000+ 0 1.90000+ 1 1.63372- 3 1.48864- 2 6.00000+ 0 2.10000+ 1 1.20777- 5 1.49133- 2 6.00000+ 0 2.20000+ 1 1.12721- 5 1.49134- 2 6.00000+ 0 2.70000+ 1 9.09842- 5 1.49128- 2 8.00000+ 0 8.00000+ 0 4.88729- 4 1.62284- 2 8.00000+ 0 1.00000+ 1 4.82292- 4 1.63019- 2 8.00000+ 0 1.10000+ 1 7.58456- 4 1.63143- 2 8.00000+ 0 1.30000+ 1 3.54284- 5 1.64455- 2 8.00000+ 0 1.40000+ 1 4.42830- 5 1.64477- 2 8.00000+ 0 1.60000+ 1 1.54593- 4 1.65609- 2 8.00000+ 0 1.80000+ 1 6.52183- 5 1.65805- 2 8.00000+ 0 1.90000+ 1 1.02255- 4 1.65821- 2 8.00000+ 0 2.70000+ 1 1.93243- 5 1.66085- 2 1.00000+ 1 1.00000+ 1 7.58991- 5 1.63755- 2 1.00000+ 1 1.10000+ 1 1.52593- 3 1.63878- 2 1.00000+ 1 1.30000+ 1 3.99448- 5 1.65190- 2 1.00000+ 1 1.40000+ 1 1.47809- 4 1.65212- 2 1.00000+ 1 1.60000+ 1 7.35042- 5 1.66344- 2 1.00000+ 1 1.80000+ 1 1.99735- 5 1.66540- 2 1.00000+ 1 1.90000+ 1 2.01329- 4 1.66556- 2 1.00000+ 1 2.20000+ 1 7.98967- 7 1.66826- 2 1.00000+ 1 2.70000+ 1 9.58739- 6 1.66821- 2 1.10000+ 1 1.10000+ 1 8.42945- 4 1.64002- 2 1.10000+ 1 1.30000+ 1 1.84495- 4 1.65313- 2 1.10000+ 1 1.40000+ 1 1.72570- 4 1.65336- 2 1.10000+ 1 1.60000+ 1 1.15311- 4 1.66467- 2 1.10000+ 1 1.80000+ 1 2.00397- 4 1.66664- 2 1.10000+ 1 1.90000+ 1 2.22668- 4 1.66679- 2 1.10000+ 1 2.10000+ 1 1.59050- 6 1.66948- 2 1.10000+ 1 2.20000+ 1 1.59050- 6 1.66949- 2 1.10000+ 1 2.70000+ 1 1.43147- 5 1.66944- 2 1.30000+ 1 1.40000+ 1 1.85189- 5 1.66647- 2 1.30000+ 1 1.60000+ 1 5.63610- 6 1.67779- 2 1.30000+ 1 1.80000+ 1 4.83087- 6 1.67975- 2 1.30000+ 1 1.90000+ 1 2.41544- 5 1.67991- 2 1.30000+ 1 2.70000+ 1 8.05183- 7 1.68256- 2 1.40000+ 1 1.40000+ 1 4.92116- 6 1.66670- 2 1.40000+ 1 1.60000+ 1 6.56170- 6 1.67801- 2 1.40000+ 1 1.80000+ 1 1.96856- 5 1.67998- 2 1.40000+ 1 1.90000+ 1 2.29658- 5 1.68013- 2 1.40000+ 1 2.70000+ 1 8.20232- 7 1.68278- 2 1.60000+ 1 1.60000+ 1 1.06188- 5 1.68933- 2 1.60000+ 1 1.80000+ 1 8.49496- 6 1.69129- 2 1.60000+ 1 1.90000+ 1 1.41582- 5 1.69145- 2 1.60000+ 1 2.70000+ 1 2.83164- 6 1.69410- 2 1.80000+ 1 1.80000+ 1 1.45617- 6 1.69326- 2 1.80000+ 1 1.90000+ 1 2.40264- 5 1.69341- 2 1.80000+ 1 2.70000+ 1 1.45617- 6 1.69606- 2 1.90000+ 1 1.90000+ 1 1.31093- 5 1.69357- 2 1.90000+ 1 2.70000+ 1 1.45657- 6 1.69622- 2 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.42440- 5 1.95200- 4 6.00000+ 0 8.72648- 5 2.73400- 4 1.00000+ 1 1.49080- 3 2.04264- 3 1.10000+ 1 2.61029- 3 2.05498- 3 1.30000+ 1 1.07610- 5 2.18616- 3 1.40000+ 1 1.60210- 5 2.18839- 3 1.80000+ 1 2.03209- 4 2.32119- 3 1.90000+ 1 3.58709- 4 2.32276- 3 2.10000+ 1 5.05809- 8 2.34966- 3 2.20000+ 1 7.52018- 8 2.34977- 3 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.30000+ 1 2.98457- 2 2.64600- 5 5.00000+ 0 1.40000+ 1 5.18591- 2 2.86900- 5 5.00000+ 0 1.60000+ 1 1.92459- 2 1.41850- 4 5.00000+ 0 1.80000+ 1 1.20523- 2 1.61490- 4 5.00000+ 0 1.90000+ 1 1.67136- 2 1.63060- 4 5.00000+ 0 2.10000+ 1 3.22272- 4 1.89960- 4 5.00000+ 0 2.20000+ 1 5.50785- 4 1.90070- 4 5.00000+ 0 2.70000+ 1 2.34001- 3 1.89520- 4 6.00000+ 0 1.30000+ 1 2.51251- 1 1.04660- 4 6.00000+ 0 1.40000+ 1 3.58887- 1 1.06890- 4 6.00000+ 0 1.60000+ 1 3.05364- 2 2.20050- 4 6.00000+ 0 1.80000+ 1 1.28267- 2 2.39690- 4 6.00000+ 0 1.90000+ 1 2.65786- 2 2.41260- 4 6.00000+ 0 2.10000+ 1 1.14264- 3 2.68160- 4 6.00000+ 0 2.20000+ 1 1.54464- 3 2.68270- 4 6.00000+ 0 2.70000+ 1 3.76102- 3 2.67720- 4 8.00000+ 0 8.00000+ 0 6.66434- 3 1.58332- 3 8.00000+ 0 1.00000+ 1 1.28614- 2 1.65685- 3 8.00000+ 0 1.10000+ 1 2.46341- 2 1.66919- 3 8.00000+ 0 1.30000+ 1 1.84546- 2 1.80037- 3 8.00000+ 0 1.40000+ 1 2.67984- 2 1.80260- 3 8.00000+ 0 1.60000+ 1 1.85161- 3 1.91576- 3 8.00000+ 0 1.80000+ 1 1.72159- 3 1.93540- 3 8.00000+ 0 1.90000+ 1 3.28609- 3 1.93697- 3 8.00000+ 0 2.10000+ 1 1.20919- 4 1.96387- 3 8.00000+ 0 2.20000+ 1 1.74712- 4 1.96398- 3 8.00000+ 0 2.70000+ 1 2.29060- 4 1.96343- 3 1.00000+ 1 1.00000+ 1 1.21451- 4 1.73038- 3 1.00000+ 1 1.10000+ 1 5.49190- 4 1.74272- 3 1.00000+ 1 1.30000+ 1 3.60084- 4 1.87390- 3 1.00000+ 1 1.40000+ 1 6.15028- 3 1.87613- 3 1.00000+ 1 1.60000+ 1 1.49842- 3 1.98929- 3 1.00000+ 1 1.80000+ 1 2.18397- 5 2.00893- 3 1.00000+ 1 1.90000+ 1 7.03134- 5 2.01050- 3 1.00000+ 1 2.10000+ 1 2.13067- 6 2.03740- 3 1.00000+ 1 2.20000+ 1 3.08951- 5 2.03751- 3 1.00000+ 1 2.70000+ 1 1.80574- 4 2.03696- 3 1.10000+ 1 1.10000+ 1 6.01403- 4 1.75506- 3 1.10000+ 1 1.30000+ 1 5.57610- 3 1.88624- 3 1.10000+ 1 1.40000+ 1 3.92178- 3 1.88847- 3 1.10000+ 1 1.60000+ 1 2.87228- 3 2.00163- 3 1.10000+ 1 1.80000+ 1 7.03139- 5 2.02127- 3 1.10000+ 1 1.90000+ 1 1.31568- 4 2.02284- 3 1.10000+ 1 2.10000+ 1 2.66329- 5 2.04974- 3 1.10000+ 1 2.20000+ 1 1.91769- 5 2.04985- 3 1.10000+ 1 2.70000+ 1 3.45713- 4 2.04930- 3 1.30000+ 1 1.30000+ 1 8.56018- 4 2.01742- 3 1.30000+ 1 1.40000+ 1 3.62432- 2 2.01965- 3 1.30000+ 1 1.60000+ 1 2.06304- 3 2.13281- 3 1.30000+ 1 1.80000+ 1 6.33887- 5 2.15245- 3 1.30000+ 1 1.90000+ 1 7.31354- 4 2.15402- 3 1.30000+ 1 2.10000+ 1 1.11862- 5 2.18092- 3 1.30000+ 1 2.20000+ 1 1.95490- 4 2.18103- 3 1.30000+ 1 2.70000+ 1 2.47166- 4 2.18048- 3 1.40000+ 1 1.40000+ 1 1.01373- 2 2.02188- 3 1.40000+ 1 1.60000+ 1 3.00293- 3 2.13504- 3 1.40000+ 1 1.80000+ 1 7.75085- 4 2.15468- 3 1.40000+ 1 1.90000+ 1 5.34286- 4 2.15625- 3 1.40000+ 1 2.10000+ 1 1.94975- 4 2.18315- 3 1.40000+ 1 2.20000+ 1 1.11865- 4 2.18326- 3 1.40000+ 1 2.70000+ 1 3.59559- 4 2.18271- 3 1.60000+ 1 1.60000+ 1 1.24122- 4 2.24820- 3 1.60000+ 1 1.80000+ 1 2.00810- 4 2.26784- 3 1.60000+ 1 1.90000+ 1 3.83537- 4 2.26941- 3 1.60000+ 1 2.10000+ 1 1.33164- 5 2.29631- 3 1.60000+ 1 2.20000+ 1 1.97099- 5 2.29642- 3 1.60000+ 1 2.70000+ 1 3.03621- 5 2.29587- 3 1.80000+ 1 1.80000+ 1 1.14318- 6 2.28748- 3 1.80000+ 1 1.90000+ 1 9.71702- 6 2.28905- 3 1.80000+ 1 2.10000+ 1 5.71605- 7 2.31595- 3 1.80000+ 1 2.20000+ 1 4.00111- 6 2.31606- 3 1.80000+ 1 2.70000+ 1 2.57220- 5 2.31551- 3 1.90000+ 1 1.90000+ 1 7.45752- 6 2.29062- 3 1.90000+ 1 2.10000+ 1 3.72871- 6 2.31752- 3 1.90000+ 1 2.20000+ 1 2.66326- 6 2.31763- 3 1.90000+ 1 2.70000+ 1 4.63424- 5 2.31708- 3 2.10000+ 1 2.70000+ 1 1.59810- 6 2.34398- 3 2.20000+ 1 2.70000+ 1 2.13069- 6 2.34409- 3 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 3.03038- 9 7.82000- 5 8.00000+ 0 3.12648- 3 1.77391- 3 1.10000+ 1 2.62458- 5 1.85978- 3 1.30000+ 1 2.48598- 2 1.99096- 3 1.60000+ 1 1.98628- 4 2.10635- 3 1.90000+ 1 7.70064- 7 2.12756- 3 2.10000+ 1 1.34319- 4 2.15446- 3 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.98612- 2 2.48500- 5 6.00000+ 0 1.80000+ 1 6.11315- 2 4.44900- 5 6.00000+ 0 1.90000+ 1 2.36800- 2 4.60600- 5 6.00000+ 0 2.10000+ 1 4.84985- 3 7.29600- 5 6.00000+ 0 2.20000+ 1 1.97633- 3 7.30700- 5 6.00000+ 0 2.70000+ 1 2.26025- 3 7.25200- 5 8.00000+ 0 8.00000+ 0 1.75066- 3 1.38812- 3 8.00000+ 0 1.00000+ 1 3.61776- 2 1.46165- 3 8.00000+ 0 1.10000+ 1 3.34115- 3 1.47399- 3 8.00000+ 0 1.30000+ 1 1.93261- 3 1.60517- 3 8.00000+ 0 1.40000+ 1 5.07533- 3 1.60740- 3 8.00000+ 0 1.60000+ 1 4.62227- 4 1.72056- 3 8.00000+ 0 1.80000+ 1 3.61586- 3 1.74020- 3 8.00000+ 0 1.90000+ 1 4.03987- 4 1.74177- 3 8.00000+ 0 2.10000+ 1 9.09862- 6 1.76867- 3 8.00000+ 0 2.20000+ 1 2.36571- 5 1.76878- 3 8.00000+ 0 2.70000+ 1 5.64124- 5 1.76823- 3 1.00000+ 1 1.00000+ 1 3.39722- 2 1.53518- 3 1.00000+ 1 1.10000+ 1 1.12874- 1 1.54752- 3 1.00000+ 1 1.30000+ 1 5.63724- 2 1.67870- 3 1.00000+ 1 1.40000+ 1 1.02538- 1 1.68093- 3 1.00000+ 1 1.60000+ 1 5.84695- 3 1.79409- 3 1.00000+ 1 1.80000+ 1 8.03275- 3 1.81373- 3 1.00000+ 1 1.90000+ 1 1.47996- 2 1.81530- 3 1.00000+ 1 2.10000+ 1 3.67594- 4 1.84220- 3 1.00000+ 1 2.20000+ 1 6.66044- 4 1.84231- 3 1.00000+ 1 2.70000+ 1 7.36997- 4 1.84176- 3 1.10000+ 1 1.10000+ 1 3.07722- 3 1.55986- 3 1.10000+ 1 1.30000+ 1 6.97989- 2 1.69104- 3 1.10000+ 1 1.40000+ 1 9.63231- 3 1.69327- 3 1.10000+ 1 1.60000+ 1 4.73143- 4 1.80643- 3 1.10000+ 1 1.80000+ 1 1.16397- 2 1.82607- 3 1.10000+ 1 1.90000+ 1 6.96991- 4 1.82764- 3 1.10000+ 1 2.10000+ 1 4.14904- 4 1.85454- 3 1.10000+ 1 2.20000+ 1 5.27736- 5 1.85465- 3 1.10000+ 1 2.70000+ 1 5.82330- 5 1.85410- 3 1.30000+ 1 1.30000+ 1 6.02143- 2 1.82222- 3 1.30000+ 1 1.40000+ 1 2.66590- 1 1.82445- 3 1.30000+ 1 1.60000+ 1 3.25737- 4 1.93761- 3 1.30000+ 1 1.80000+ 1 5.79045- 3 1.95725- 3 1.30000+ 1 1.90000+ 1 8.76422- 3 1.95882- 3 1.30000+ 1 2.10000+ 1 7.09704- 4 1.98572- 3 1.30000+ 1 2.20000+ 1 1.64143- 3 1.98583- 3 1.30000+ 1 2.70000+ 1 4.18549- 5 1.98528- 3 1.40000+ 1 1.40000+ 1 1.26563- 2 1.82668- 3 1.40000+ 1 1.60000+ 1 7.27884- 4 1.93984- 3 1.40000+ 1 1.80000+ 1 9.70445- 3 1.95948- 3 1.40000+ 1 1.90000+ 1 1.12103- 3 1.96105- 3 1.40000+ 1 2.10000+ 1 1.42661- 3 1.98795- 3 1.40000+ 1 2.20000+ 1 1.45578- 4 1.98806- 3 1.40000+ 1 2.70000+ 1 9.09859- 5 1.98751- 3 1.60000+ 1 1.60000+ 1 3.21271- 5 2.05300- 3 1.60000+ 1 1.80000+ 1 6.08524- 4 2.07264- 3 1.60000+ 1 1.90000+ 1 5.85845- 5 2.07421- 3 1.60000+ 1 2.10000+ 1 1.88983- 6 2.10111- 3 1.60000+ 1 2.20000+ 1 3.77956- 6 2.10122- 3 1.60000+ 1 2.70000+ 1 7.55912- 6 2.10067- 3 1.80000+ 1 1.80000+ 1 4.62220- 4 2.09228- 3 1.80000+ 1 1.90000+ 1 1.52675- 3 2.09385- 3 1.80000+ 1 2.10000+ 1 3.82142- 5 2.12075- 3 1.80000+ 1 2.20000+ 1 6.36904- 5 2.12086- 3 1.80000+ 1 2.70000+ 1 7.46060- 5 2.12031- 3 1.90000+ 1 1.90000+ 1 6.30867- 5 2.09542- 3 1.90000+ 1 2.10000+ 1 8.31595- 5 2.12232- 3 1.90000+ 1 2.20000+ 1 8.60265- 6 2.12243- 3 1.90000+ 1 2.70000+ 1 1.14699- 5 2.12188- 3 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.29921- 3 1.69571- 3 1.00000+ 1 1.66400- 5 1.76924- 3 1.10000+ 1 1.57890- 5 1.78158- 3 1.30000+ 1 2.43130- 3 1.91276- 3 1.40000+ 1 2.21780- 2 1.91499- 3 1.60000+ 1 1.87340- 4 2.02815- 3 1.80000+ 1 3.81561- 7 2.04779- 3 1.90000+ 1 3.65820- 7 2.04936- 3 2.10000+ 1 1.30290- 5 2.07626- 3 2.20000+ 1 1.15260- 4 2.07637- 3 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.03256- 3 1.30992- 3 8.00000+ 0 1.00000+ 1 1.52674- 3 1.38345- 3 8.00000+ 0 1.10000+ 1 4.04447- 2 1.39579- 3 8.00000+ 0 1.30000+ 1 3.69969- 3 1.52697- 3 8.00000+ 0 1.40000+ 1 3.94202- 3 1.52920- 3 8.00000+ 0 1.60000+ 1 5.36502- 4 1.64236- 3 8.00000+ 0 1.80000+ 1 1.80761- 4 1.66200- 3 8.00000+ 0 1.90000+ 1 4.06314- 3 1.66357- 3 8.00000+ 0 2.10000+ 1 1.73073- 5 1.69047- 3 8.00000+ 0 2.20000+ 1 1.73073- 5 1.69058- 3 8.00000+ 0 2.70000+ 1 6.53801- 5 1.69003- 3 1.00000+ 1 1.00000+ 1 5.65359- 4 1.45698- 3 1.00000+ 1 1.10000+ 1 6.56591- 2 1.46932- 3 1.00000+ 1 1.30000+ 1 4.28254- 3 1.60050- 3 1.00000+ 1 1.40000+ 1 3.90352- 2 1.60273- 3 1.00000+ 1 1.60000+ 1 2.11542- 4 1.71589- 3 1.00000+ 1 1.80000+ 1 1.30763- 4 1.73553- 3 1.00000+ 1 1.90000+ 1 6.77679- 3 1.73710- 3 1.00000+ 1 2.10000+ 1 2.69225- 5 1.76400- 3 1.00000+ 1 2.20000+ 1 2.24991- 4 1.76411- 3 1.00000+ 1 2.70000+ 1 2.69225- 5 1.76356- 3 1.10000+ 1 1.10000+ 1 9.51393- 2 1.48166- 3 1.10000+ 1 1.30000+ 1 8.84111- 2 1.61284- 3 1.10000+ 1 1.40000+ 1 1.35308- 1 1.61507- 3 1.10000+ 1 1.60000+ 1 6.48781- 3 1.72823- 3 1.10000+ 1 1.80000+ 1 8.53019- 3 1.74787- 3 1.10000+ 1 1.90000+ 1 2.22979- 2 1.74944- 3 1.10000+ 1 2.10000+ 1 5.63405- 4 1.77634- 3 1.10000+ 1 2.20000+ 1 8.57612- 4 1.77645- 3 1.10000+ 1 2.70000+ 1 8.15289- 4 1.77590- 3 1.30000+ 1 1.30000+ 1 1.18045- 2 1.74402- 3 1.30000+ 1 1.40000+ 1 2.31866- 1 1.74625- 3 1.30000+ 1 1.60000+ 1 5.51873- 4 1.85941- 3 1.30000+ 1 1.80000+ 1 5.53790- 4 1.87905- 3 1.30000+ 1 1.90000+ 1 8.66868- 3 1.88062- 3 1.30000+ 1 2.10000+ 1 1.40370- 4 1.90752- 3 1.30000+ 1 2.20000+ 1 1.25573- 3 1.90763- 3 1.30000+ 1 2.70000+ 1 6.92242- 5 1.90708- 3 1.40000+ 1 1.40000+ 1 1.57703- 1 1.74848- 3 1.40000+ 1 1.60000+ 1 6.19207- 4 1.86164- 3 1.40000+ 1 1.80000+ 1 4.81135- 3 1.88128- 3 1.40000+ 1 1.90000+ 1 1.43644- 2 1.88285- 3 1.40000+ 1 2.10000+ 1 1.38651- 3 1.90975- 3 1.40000+ 1 2.20000+ 1 1.81905- 3 1.90986- 3 1.40000+ 1 2.70000+ 1 7.69190- 5 1.90931- 3 1.60000+ 1 1.60000+ 1 3.53713- 5 1.97480- 3 1.60000+ 1 1.80000+ 1 2.55456- 5 1.99444- 3 1.60000+ 1 1.90000+ 1 6.66154- 4 1.99601- 3 1.60000+ 1 2.10000+ 1 1.96512- 6 2.02291- 3 1.60000+ 1 2.20000+ 1 1.96512- 6 2.02302- 3 1.60000+ 1 2.70000+ 1 7.85999- 6 2.02247- 3 1.80000+ 1 1.80000+ 1 7.69157- 6 2.01408- 3 1.80000+ 1 1.90000+ 1 8.80744- 4 2.01565- 3 1.80000+ 1 2.10000+ 1 3.84594- 6 2.04255- 3 1.80000+ 1 2.20000+ 1 2.88443- 5 2.04266- 3 1.80000+ 1 2.70000+ 1 3.84594- 6 2.04211- 3 1.90000+ 1 1.90000+ 1 1.28266- 3 2.01722- 3 1.90000+ 1 2.10000+ 1 5.57665- 5 2.04412- 3 1.90000+ 1 2.20000+ 1 9.03810- 5 2.04423- 3 1.90000+ 1 2.70000+ 1 8.26917- 5 2.04368- 3 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.28356- 5 7.35300- 5 1.10000+ 1 4.01185- 5 8.58700- 5 1.80000+ 1 3.70196- 5 3.52080- 4 1.90000+ 1 5.76323- 5 3.53650- 4 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 6.81047- 2 2.01800- 5 1.00000+ 1 1.80000+ 1 5.75745- 2 3.98200- 5 1.00000+ 1 1.90000+ 1 1.24444- 1 4.13900- 5 1.00000+ 1 2.10000+ 1 2.08772- 3 6.82900- 5 1.00000+ 1 2.20000+ 1 2.48905- 3 6.84000- 5 1.00000+ 1 2.70000+ 1 5.71809- 3 6.78500- 5 1.10000+ 1 1.60000+ 1 1.17642- 1 3.25200- 5 1.10000+ 1 1.80000+ 1 1.16009- 1 5.21600- 5 1.10000+ 1 1.90000+ 1 1.89939- 1 5.37300- 5 1.10000+ 1 2.10000+ 1 2.35661- 3 8.06300- 5 1.10000+ 1 2.20000+ 1 3.76903- 3 8.07400- 5 1.10000+ 1 2.70000+ 1 9.94037- 3 8.01900- 5 1.30000+ 1 1.30000+ 1 9.52422- 3 4.83100- 5 1.30000+ 1 1.40000+ 1 7.75781- 3 5.05400- 5 1.30000+ 1 1.60000+ 1 4.55068- 2 1.63700- 4 1.30000+ 1 1.80000+ 1 7.00534- 3 1.83340- 4 1.30000+ 1 1.90000+ 1 5.51493- 3 1.84910- 4 1.30000+ 1 2.10000+ 1 2.32815- 4 2.11810- 4 1.30000+ 1 2.20000+ 1 2.19751- 4 2.11920- 4 1.30000+ 1 2.70000+ 1 3.17270- 3 2.11370- 4 1.40000+ 1 1.40000+ 1 1.49875- 2 5.27700- 5 1.40000+ 1 1.60000+ 1 6.74316- 2 1.65930- 4 1.40000+ 1 1.80000+ 1 2.45950- 3 1.85570- 4 1.40000+ 1 1.90000+ 1 1.45204- 2 1.87140- 4 1.40000+ 1 2.10000+ 1 2.31103- 4 2.14040- 4 1.40000+ 1 2.20000+ 1 4.37089- 4 2.14150- 4 1.40000+ 1 2.70000+ 1 4.69198- 3 2.13600- 4 1.60000+ 1 1.60000+ 1 1.94132- 2 2.79090- 4 1.60000+ 1 1.80000+ 1 2.60629- 2 2.98730- 4 1.60000+ 1 1.90000+ 1 4.95672- 2 3.00300- 4 1.60000+ 1 2.10000+ 1 1.88046- 3 3.27200- 4 1.60000+ 1 2.20000+ 1 2.74199- 3 3.27310- 4 1.60000+ 1 2.70000+ 1 3.06342- 3 3.26760- 4 1.80000+ 1 1.80000+ 1 1.27649- 3 3.18370- 4 1.80000+ 1 1.90000+ 1 3.29939- 3 3.19940- 4 1.80000+ 1 2.10000+ 1 8.04038- 5 3.46840- 4 1.80000+ 1 2.20000+ 1 2.76410- 5 3.46950- 4 1.80000+ 1 2.70000+ 1 1.39462- 3 3.46400- 4 1.90000+ 1 1.90000+ 1 4.13104- 3 3.21510- 4 1.90000+ 1 2.10000+ 1 6.28209- 5 3.48410- 4 1.90000+ 1 2.20000+ 1 1.78414- 4 3.48520- 4 1.90000+ 1 2.70000+ 1 2.65857- 3 3.47970- 4 2.10000+ 1 2.70000+ 1 1.00499- 4 3.74870- 4 2.20000+ 1 2.70000+ 1 1.45739- 4 3.74980- 4 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.93080- 4 1.43520- 4 1.60000+ 1 7.40460- 5 2.58910- 4 2.10000+ 1 4.59550- 6 3.07020- 4 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.70264- 3 7.10000- 6 1.10000+ 1 2.20000+ 1 3.76663- 3 7.21000- 6 1.10000+ 1 2.70000+ 1 6.98372- 3 6.66000- 6 1.30000+ 1 1.60000+ 1 1.70582- 1 9.01700- 5 1.30000+ 1 1.80000+ 1 1.75268- 1 1.09810- 4 1.30000+ 1 1.90000+ 1 2.71117- 1 1.11380- 4 1.30000+ 1 2.10000+ 1 1.99688- 3 1.38280- 4 1.30000+ 1 2.20000+ 1 1.27539- 3 1.38390- 4 1.30000+ 1 2.70000+ 1 1.50397- 2 1.37840- 4 1.40000+ 1 1.60000+ 1 2.72371- 2 9.24000- 5 1.40000+ 1 1.80000+ 1 2.54300- 1 1.12040- 4 1.40000+ 1 1.90000+ 1 2.64142- 2 1.13610- 4 1.40000+ 1 2.10000+ 1 8.11283- 4 1.40510- 4 1.40000+ 1 2.20000+ 1 3.18018- 4 1.40620- 4 1.40000+ 1 2.70000+ 1 1.95898- 3 1.40070- 4 1.60000+ 1 1.60000+ 1 5.10000- 4 2.05560- 4 1.60000+ 1 1.80000+ 1 9.15427- 3 2.25200- 4 1.60000+ 1 1.90000+ 1 1.31576- 3 2.26770- 4 1.60000+ 1 2.10000+ 1 3.25342- 5 2.53670- 4 1.60000+ 1 2.20000+ 1 4.49721- 5 2.53780- 4 1.60000+ 1 2.70000+ 1 7.84647- 5 2.53230- 4 1.80000+ 1 1.80000+ 1 6.16576- 3 2.44840- 4 1.80000+ 1 1.90000+ 1 2.00575- 2 2.46410- 4 1.80000+ 1 2.10000+ 1 6.52271- 4 2.73310- 4 1.80000+ 1 2.20000+ 1 1.10876- 3 2.73420- 4 1.80000+ 1 2.70000+ 1 9.36748- 4 2.72870- 4 1.90000+ 1 1.90000+ 1 5.19217- 4 2.47980- 4 1.90000+ 1 2.10000+ 1 1.06001- 4 2.74880- 4 1.90000+ 1 2.20000+ 1 5.51667- 5 2.74990- 4 1.90000+ 1 2.70000+ 1 1.09255- 4 2.74440- 4 2.10000+ 1 2.20000+ 1 2.16348- 6 3.01890- 4 2.10000+ 1 2.70000+ 1 3.24522- 6 3.01340- 4 2.20000+ 1 2.70000+ 1 3.24520- 6 3.01450- 4 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.37891- 5 1.31180- 4 1.40000+ 1 2.27841- 4 1.33410- 4 1.60000+ 1 8.36904- 5 2.46570- 4 2.10000+ 1 5.66922- 7 2.94680- 4 2.20000+ 1 4.67192- 6 2.94790- 4 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 3.36603- 2 7.78300- 5 1.30000+ 1 1.80000+ 1 2.29777- 2 9.74700- 5 1.30000+ 1 1.90000+ 1 1.84457- 1 9.90400- 5 1.30000+ 1 2.10000+ 1 4.74284- 4 1.25940- 4 1.30000+ 1 2.20000+ 1 4.80357- 4 1.26050- 4 1.30000+ 1 2.70000+ 1 2.67162- 3 1.25500- 4 1.40000+ 1 1.60000+ 1 1.64419- 1 8.00600- 5 1.40000+ 1 1.80000+ 1 1.53532- 1 9.97000- 5 1.40000+ 1 1.90000+ 1 3.69582- 1 1.01270- 4 1.40000+ 1 2.10000+ 1 9.56647- 4 1.28170- 4 1.40000+ 1 2.20000+ 1 2.74216- 3 1.28280- 4 1.40000+ 1 2.70000+ 1 1.42715- 2 1.27730- 4 1.60000+ 1 1.60000+ 1 4.78405- 4 1.93220- 4 1.60000+ 1 1.80000+ 1 7.69366- 4 2.12860- 4 1.60000+ 1 1.90000+ 1 1.28567- 2 2.14430- 4 1.60000+ 1 2.10000+ 1 4.06891- 5 2.41330- 4 1.60000+ 1 2.20000+ 1 5.79499- 5 2.41440- 4 1.60000+ 1 2.70000+ 1 7.39784- 5 2.40890- 4 1.80000+ 1 1.80000+ 1 1.60584- 4 2.32500- 4 1.80000+ 1 1.90000+ 1 1.33782- 2 2.34070- 4 1.80000+ 1 2.10000+ 1 2.50097- 5 2.60970- 4 1.80000+ 1 2.20000+ 1 9.60894- 5 2.61080- 4 1.80000+ 1 2.70000+ 1 6.31814- 5 2.60530- 4 1.90000+ 1 1.90000+ 1 1.82113- 2 2.35640- 4 1.90000+ 1 2.10000+ 1 8.82996- 4 2.62540- 4 1.90000+ 1 2.20000+ 1 1.21476- 3 2.62650- 4 1.90000+ 1 2.70000+ 1 1.11804- 3 2.62100- 4 2.10000+ 1 2.20000+ 1 2.01411- 6 2.89550- 4 2.10000+ 1 2.70000+ 1 2.01411- 6 2.89000- 4 2.20000+ 1 2.70000+ 1 4.02802- 6 2.89110- 4 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.67952- 5 1.35030- 4 1.90000+ 1 6.71234- 6 1.36600- 4 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 7.57153- 2 6.20400- 5 1.60000+ 1 1.80000+ 1 2.61165- 1 8.16800- 5 1.60000+ 1 1.90000+ 1 3.09475- 1 8.32500- 5 1.60000+ 1 2.10000+ 1 4.19798- 2 1.10150- 4 1.60000+ 1 2.20000+ 1 9.41734- 3 1.10260- 4 1.60000+ 1 2.70000+ 1 7.03162- 3 1.09710- 4 1.80000+ 1 1.80000+ 1 9.57929- 3 1.01320- 4 1.80000+ 1 1.90000+ 1 1.04387- 1 1.02890- 4 1.80000+ 1 2.10000+ 1 3.68388- 2 1.29790- 4 1.80000+ 1 2.20000+ 1 5.85695- 3 1.29900- 4 1.80000+ 1 2.70000+ 1 1.07288- 2 1.29350- 4 1.90000+ 1 1.90000+ 1 4.52863- 2 1.04460- 4 1.90000+ 1 2.10000+ 1 6.05219- 2 1.31360- 4 1.90000+ 1 2.20000+ 1 3.80882- 3 1.31470- 4 1.90000+ 1 2.70000+ 1 1.09236- 2 1.30920- 4 2.10000+ 1 2.20000+ 1 3.55773- 3 1.58370- 4 2.10000+ 1 2.70000+ 1 3.26471- 3 1.57820- 4 2.20000+ 1 2.70000+ 1 4.18562- 4 1.57930- 4 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.70869- 5 1.34370- 4 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 7.69710- 2 5.98100- 5 1.60000+ 1 1.80000+ 1 1.57569- 1 7.94500- 5 1.60000+ 1 1.90000+ 1 3.97729- 1 8.10200- 5 1.60000+ 1 2.10000+ 1 6.16681- 3 1.07920- 4 1.60000+ 1 2.20000+ 1 4.12634- 2 1.08030- 4 1.60000+ 1 2.70000+ 1 7.11852- 3 1.07480- 4 1.80000+ 1 1.80000+ 1 5.10080- 3 9.90900- 5 1.80000+ 1 1.90000+ 1 7.60186- 2 1.00660- 4 1.80000+ 1 2.10000+ 1 1.14200- 3 1.27560- 4 1.80000+ 1 2.20000+ 1 2.98061- 2 1.27670- 4 1.80000+ 1 2.70000+ 1 5.86218- 3 1.27120- 4 1.90000+ 1 1.90000+ 1 7.12277- 2 1.02230- 4 1.90000+ 1 2.10000+ 1 7.20653- 3 1.29130- 4 1.90000+ 1 2.20000+ 1 9.00162- 2 1.29240- 4 1.90000+ 1 2.70000+ 1 2.11691- 2 1.28690- 4 2.10000+ 1 2.20000+ 1 2.24593- 3 1.56140- 4 2.10000+ 1 2.70000+ 1 2.66458- 4 1.55590- 4 2.20000+ 1 2.70000+ 1 3.08349- 3 1.55700- 4 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 8.46113- 7 1.96400- 5 1.90000+ 1 2.15531- 6 2.12100- 5 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10000+ 1 5.46211- 2 1.44000- 5 1.80000+ 1 2.20000+ 1 1.72329- 1 1.45100- 5 1.80000+ 1 2.70000+ 1 1.12091- 1 1.39600- 5 1.90000+ 1 2.10000+ 1 2.22923- 1 1.59700- 5 1.90000+ 1 2.20000+ 1 2.27525- 1 1.60800- 5 1.90000+ 1 2.70000+ 1 2.00594- 1 1.55300- 5 2.10000+ 1 2.20000+ 1 1.73303- 3 4.29800- 5 2.10000+ 1 2.70000+ 1 3.32358- 3 4.24300- 5 2.20000+ 1 2.70000+ 1 4.85732- 3 4.25400- 5 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 9.15169- 8 2.84700- 5 2.70000+ 1 4.15430- 8 2.80300- 5 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.20000+ 1 6.42782- 1 2.33400- 5 2.10000+ 1 2.70000+ 1 3.28607- 1 2.27900- 5 2.20000+ 1 2.70000+ 1 2.86110- 2 2.29000- 5 1 39000 0 7 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.28400- 9 2.69000- 5 2.20000+ 1 2.06940- 8 2.70100- 5 2.70000+ 1 1.01210- 8 2.64600- 5 1 39000 0 9 8.89059+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.20000+ 1 5.14224- 1 2.17700- 5 2.10000+ 1 2.70000+ 1 1.00846- 1 2.12200- 5 2.20000+ 1 2.70000+ 1 3.84930- 1 2.13300- 5 1 40000 0 0 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 8.00000- 1 2.20000+ 1 1.20000+ 0 2.70000+ 1 2.00000+ 0 1 40000 0 0 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.79620- 2 3.00000+ 0 2.51460- 3 5.00000+ 0 2.31220- 3 6.00000+ 0 2.22480- 3 8.00000+ 0 4.22060- 4 1.00000+ 1 3.44930- 4 1.10000+ 1 3.30880- 4 1.30000+ 1 1.93090- 4 1.40000+ 1 1.90490- 4 1.60000+ 1 5.99600- 5 1.80000+ 1 3.86300- 5 1.90000+ 1 3.67400- 5 2.10000+ 1 6.67000- 6 2.20000+ 1 6.52000- 6 2.70000+ 1 6.12000- 6 1 40000 0 0 9.12200+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.27380- 2 3.00000+ 0 4.68670- 3 5.00000+ 0 4.68630- 3 6.00000+ 0 4.36650- 3 8.00000+ 0 1.21630- 3 1.00000+ 1 1.16020- 3 1.10000+ 1 1.09400- 3 1.30000+ 1 9.78880- 4 1.40000+ 1 9.63140- 4 1.60000+ 1 2.61560- 4 1.80000+ 1 2.16450- 4 1.90000+ 1 2.04440- 4 2.10000+ 1 9.82900- 5 2.20000+ 1 9.62500- 5 2.70000+ 1 3.09000- 5 1 40000 0 0 9.12200+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.95710-10 3.00000+ 0 8.54570-10 5.00000+ 0 7.28680-10 6.00000+ 0 7.51850-10 8.00000+ 0 2.40110- 9 1.00000+ 1 2.37570- 9 1.10000+ 1 2.42930- 9 1.30000+ 1 2.33240- 9 1.40000+ 1 2.35020- 9 1.60000+ 1 6.27890- 9 1.80000+ 1 6.92000- 9 1.90000+ 1 7.07440- 9 2.10000+ 1 1.07470- 8 2.20000+ 1 1.08590- 8 2.70000+ 1 1.95630- 8 1 40000 0 0 9.12200+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.68780- 6 3.00000+ 0 3.13660- 8 5.00000+ 0 4.72580- 8 6.00000+ 0 4.57810- 8 8.00000+ 0 3.98200-10 1.00000+ 1 4.06840-10 1.10000+ 1 3.57840-10 1.30000+ 1 2.71900-11 1.40000+ 1 2.52160-11 1.60000+ 1 1.23280-11 1.80000+ 1 7.01390-12 1.90000+ 1 6.45160-12 1 40000 0 0 9.12200+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.00840- 6 3.00000+ 0 5.65990- 6 5.00000+ 0 1.54120- 6 6.00000+ 0 1.45080- 6 8.00000+ 0 7.58600- 6 1.00000+ 1 2.68840- 6 1.10000+ 1 2.83890- 6 1.30000+ 1 7.01380- 8 1.40000+ 1 7.37060- 8 1.60000+ 1 4.51160- 6 1.80000+ 1 2.67450- 7 1.90000+ 1 2.50690- 7 1 40000 0 0 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.87263- 5 3.00000+ 0 8.55570- 5 5.00000+ 0 6.51166- 5 6.00000+ 0 6.32220- 5 8.00000+ 0 5.08453- 5 1.00000+ 1 4.12949- 5 1.10000+ 1 4.09280- 5 1.30000+ 1 2.76666- 5 1.40000+ 1 2.76933- 5 1.60000+ 1 1.94661- 5 1.80000+ 1 1.31134- 5 1.90000+ 1 1.30204- 5 2.10000+ 1 6.67000- 6 2.20000+ 1 6.52000- 6 2.70000+ 1 6.12000- 6 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.63351- 1 3.00000+ 0 3.25134- 2 5.00000+ 0 3.52962- 2 6.00000+ 0 3.25348- 2 8.00000+ 0 5.20270- 4 1.00000+ 1 5.13114- 4 1.10000+ 1 4.67857- 4 1.30000+ 1 7.00636- 5 1.40000+ 1 6.05752- 5 1.60000+ 1 4.57552- 6 1.80000+ 1 4.07699- 7 1.90000+ 1 1.02640- 7 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.17100- 2 3.00000+ 0 6.54020- 5 5.00000+ 0 7.28652- 5 6.00000+ 0 6.44515- 5 8.00000+ 0 1.10460- 7 1.00000+ 1 9.31398- 8 1.10000+ 1 8.31887- 8 1.30000+ 1 1.04209- 8 1.40000+ 1 8.89612- 9 1.60000+ 1 1.05622-10 1.80000+ 1 1.30631-11 1.90000+ 1 3.10614-12 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.10668+ 1 3.00000+ 0 1.21149+ 1 5.00000+ 0 8.97732+ 0 6.00000+ 0 8.69183+ 0 8.00000+ 0 6.79544+ 0 1.00000+ 1 5.32550+ 0 1.10000+ 1 5.27609+ 0 1.30000+ 1 3.23532+ 0 1.40000+ 1 3.24736+ 0 1.60000+ 1 1.98609+ 0 1.80000+ 1 1.00000+ 0 1.90000+ 1 1.00000+ 0 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.17325- 3 3.00000+ 0 2.36364- 3 5.00000+ 0 2.17422- 3 6.00000+ 0 2.09713- 3 8.00000+ 0 3.71104- 4 1.00000+ 1 3.03542- 4 1.10000+ 1 2.89869- 4 1.30000+ 1 1.65413- 4 1.40000+ 1 1.62788- 4 1.60000+ 1 4.04938- 5 1.80000+ 1 2.55166- 5 1.90000+ 1 2.37196- 5 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.11871- 1 1.56498- 2 6.00000+ 0 4.05451- 1 1.57372- 2 1.00000+ 1 3.19751- 2 1.76171- 2 1.10000+ 1 6.22642- 2 1.76311- 2 1.30000+ 1 1.33290- 4 1.77689- 2 1.40000+ 1 1.89330- 4 1.77715- 2 1.80000+ 1 5.23601- 3 1.79234- 2 1.90000+ 1 1.00560- 2 1.79253- 2 2.10000+ 1 1.88260- 6 1.79553- 2 2.20000+ 1 2.65631- 6 1.79555- 2 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 1.92160- 2 1.29328- 2 3.00000+ 0 5.00000+ 0 2.16294- 2 1.31352- 2 3.00000+ 0 6.00000+ 0 3.37582- 2 1.32226- 2 3.00000+ 0 8.00000+ 0 6.04934- 3 1.50253- 2 3.00000+ 0 1.00000+ 1 3.52485- 3 1.51025- 2 3.00000+ 0 1.10000+ 1 5.47525- 3 1.51165- 2 3.00000+ 0 1.30000+ 1 2.84214- 4 1.52543- 2 3.00000+ 0 1.40000+ 1 3.55655- 4 1.52569- 2 3.00000+ 0 1.60000+ 1 9.98466- 4 1.53874- 2 3.00000+ 0 1.80000+ 1 5.02919- 4 1.54088- 2 3.00000+ 0 1.90000+ 1 7.77582- 4 1.54107- 2 3.00000+ 0 2.10000+ 1 4.41788- 6 1.54407- 2 3.00000+ 0 2.20000+ 1 5.89062- 6 1.54409- 2 3.00000+ 0 2.70000+ 1 1.22969- 4 1.54413- 2 5.00000+ 0 5.00000+ 0 3.43642- 3 1.33376- 2 5.00000+ 0 6.00000+ 0 7.74818- 2 1.34250- 2 5.00000+ 0 8.00000+ 0 2.83263- 3 1.52277- 2 5.00000+ 0 1.00000+ 1 1.02565- 3 1.53049- 2 5.00000+ 0 1.10000+ 1 1.06306- 2 1.53189- 2 5.00000+ 0 1.30000+ 1 3.72597- 4 1.54567- 2 5.00000+ 0 1.40000+ 1 1.32980- 3 1.54593- 2 5.00000+ 0 1.60000+ 1 4.52838- 4 1.55898- 2 5.00000+ 0 1.80000+ 1 1.44321- 4 1.56112- 2 5.00000+ 0 1.90000+ 1 1.47412- 3 1.56131- 2 5.00000+ 0 2.10000+ 1 5.89060- 6 1.56431- 2 5.00000+ 0 2.20000+ 1 2.13533- 5 1.56433- 2 5.00000+ 0 2.70000+ 1 5.52244- 5 1.56437- 2 6.00000+ 0 6.00000+ 0 4.12300- 2 1.35124- 2 6.00000+ 0 8.00000+ 0 4.42295- 3 1.53151- 2 6.00000+ 0 1.00000+ 1 1.05528- 2 1.53923- 2 6.00000+ 0 1.10000+ 1 1.15559- 2 1.54063- 2 6.00000+ 0 1.30000+ 1 1.62358- 3 1.55441- 2 6.00000+ 0 1.40000+ 1 1.55067- 3 1.55467- 2 6.00000+ 0 1.60000+ 1 7.07602- 4 1.56772- 2 6.00000+ 0 1.80000+ 1 1.46675- 3 1.56986- 2 6.00000+ 0 1.90000+ 1 1.60818- 3 1.57005- 2 6.00000+ 0 2.10000+ 1 2.57714- 5 1.57305- 2 6.00000+ 0 2.20000+ 1 2.50352- 5 1.57307- 2 6.00000+ 0 2.70000+ 1 8.68889- 5 1.57311- 2 8.00000+ 0 8.00000+ 0 4.69772- 4 1.71179- 2 8.00000+ 0 1.00000+ 1 4.65351- 4 1.71950- 2 8.00000+ 0 1.10000+ 1 7.21605- 4 1.72091- 2 8.00000+ 0 1.30000+ 1 3.46080- 5 1.73468- 2 8.00000+ 0 1.40000+ 1 4.27063- 5 1.73494- 2 8.00000+ 0 1.60000+ 1 1.54627- 4 1.74800- 2 8.00000+ 0 1.80000+ 1 6.62714- 5 1.75013- 2 8.00000+ 0 1.90000+ 1 1.02347- 4 1.75032- 2 8.00000+ 0 2.10000+ 1 7.36337- 7 1.75333- 2 8.00000+ 0 2.20000+ 1 7.36337- 7 1.75334- 2 8.00000+ 0 2.70000+ 1 1.91443- 5 1.75338- 2 1.00000+ 1 1.00000+ 1 7.21668- 5 1.72721- 2 1.00000+ 1 1.10000+ 1 1.45058- 3 1.72862- 2 1.00000+ 1 1.30000+ 1 3.93639- 5 1.74240- 2 1.00000+ 1 1.40000+ 1 1.43603- 4 1.74266- 2 1.00000+ 1 1.60000+ 1 7.36253- 5 1.75571- 2 1.00000+ 1 1.80000+ 1 2.04112- 5 1.75784- 2 1.00000+ 1 1.90000+ 1 2.01191- 4 1.75803- 2 1.00000+ 1 2.10000+ 1 7.28966- 7 1.76104- 2 1.00000+ 1 2.20000+ 1 2.18687- 6 1.76105- 2 1.00000+ 1 2.70000+ 1 8.74759- 6 1.76109- 2 1.10000+ 1 1.10000+ 1 8.03077- 4 1.73002- 2 1.10000+ 1 1.30000+ 1 1.80164- 4 1.74380- 2 1.10000+ 1 1.40000+ 1 1.67769- 4 1.74406- 2 1.10000+ 1 1.60000+ 1 1.14514- 4 1.75712- 2 1.10000+ 1 1.80000+ 1 2.02050- 4 1.75925- 2 1.10000+ 1 1.90000+ 1 2.23936- 4 1.75944- 2 1.10000+ 1 2.10000+ 1 2.91765- 6 1.76244- 2 1.10000+ 1 2.20000+ 1 2.91765- 6 1.76246- 2 1.10000+ 1 2.70000+ 1 1.38590- 5 1.76250- 2 1.30000+ 1 1.40000+ 1 1.84081- 5 1.75784- 2 1.30000+ 1 1.60000+ 1 5.89067- 6 1.77089- 2 1.30000+ 1 1.80000+ 1 5.15415- 6 1.77303- 2 1.30000+ 1 1.90000+ 1 2.42989- 5 1.77322- 2 1.30000+ 1 2.70000+ 1 7.36331- 7 1.77628- 2 1.40000+ 1 1.40000+ 1 4.59906- 6 1.75810- 2 1.40000+ 1 1.60000+ 1 6.89880- 6 1.77115- 2 1.40000+ 1 1.80000+ 1 1.99291- 5 1.77329- 2 1.40000+ 1 1.90000+ 1 2.37616- 5 1.77348- 2 1.40000+ 1 2.70000+ 1 7.66521- 7 1.77654- 2 1.60000+ 1 1.60000+ 1 1.15989- 5 1.78421- 2 1.60000+ 1 1.80000+ 1 9.55251- 6 1.78634- 2 1.60000+ 1 1.90000+ 1 1.50115- 5 1.78653- 2 1.60000+ 1 2.70000+ 1 2.72925- 6 1.78959- 2 1.80000+ 1 1.80000+ 1 1.35926- 6 1.78847- 2 1.80000+ 1 1.90000+ 1 2.58255- 5 1.78866- 2 1.80000+ 1 2.70000+ 1 1.35926- 6 1.79172- 2 1.90000+ 1 1.90000+ 1 1.32552- 5 1.78885- 2 1.90000+ 1 2.10000+ 1 6.31215- 7 1.79186- 2 1.90000+ 1 2.70000+ 1 1.89362- 6 1.79191- 2 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.42420- 5 2.02400- 4 6.00000+ 0 8.89759- 5 2.89800- 4 1.00000+ 1 1.65510- 3 2.16967- 3 1.10000+ 1 2.88070- 3 2.18372- 3 1.30000+ 1 1.26990- 5 2.32151- 3 1.40000+ 1 1.89090- 5 2.32411- 3 1.80000+ 1 2.39470- 4 2.47597- 3 1.90000+ 1 4.20599- 4 2.47786- 3 2.10000+ 1 1.40280- 7 2.50793- 3 2.20000+ 1 2.08920- 7 2.50808- 3 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 2.21226- 2 1.42440- 4 5.00000+ 0 1.80000+ 1 1.41162- 2 1.63770- 4 5.00000+ 0 1.90000+ 1 1.94906- 2 1.65660- 4 5.00000+ 0 2.10000+ 1 7.78082- 4 1.95730- 4 5.00000+ 0 2.20000+ 1 1.32791- 3 1.95880- 4 5.00000+ 0 2.70000+ 1 2.64059- 3 1.96280- 4 6.00000+ 0 1.30000+ 1 2.77521- 1 9.67100- 5 6.00000+ 0 1.40000+ 1 3.97356- 1 9.93100- 5 6.00000+ 0 1.60000+ 1 3.47349- 2 2.29840- 4 6.00000+ 0 1.80000+ 1 1.47659- 2 2.51170- 4 6.00000+ 0 1.90000+ 1 3.04169- 2 2.53060- 4 6.00000+ 0 2.10000+ 1 2.82404- 3 2.83130- 4 6.00000+ 0 2.20000+ 1 3.79996- 3 2.83280- 4 6.00000+ 0 2.70000+ 1 4.19050- 3 2.83680- 4 8.00000+ 0 8.00000+ 0 6.24472- 3 1.67048- 3 8.00000+ 0 1.00000+ 1 1.20948- 2 1.74761- 3 8.00000+ 0 1.10000+ 1 2.31263- 2 1.76166- 3 8.00000+ 0 1.30000+ 1 1.75286- 2 1.89945- 3 8.00000+ 0 1.40000+ 1 2.54176- 2 1.90205- 3 8.00000+ 0 1.60000+ 1 1.80000- 3 2.03258- 3 8.00000+ 0 1.80000+ 1 1.70458- 3 2.05391- 3 8.00000+ 0 1.90000+ 1 3.24706- 3 2.05580- 3 8.00000+ 0 2.10000+ 1 2.57557- 4 2.08587- 3 8.00000+ 0 2.20000+ 1 3.71499- 4 2.08602- 3 8.00000+ 0 2.70000+ 1 2.18106- 4 2.08642- 3 1.00000+ 1 1.00000+ 1 1.10030- 4 1.82474- 3 1.00000+ 1 1.10000+ 1 5.20960- 4 1.83879- 3 1.00000+ 1 1.30000+ 1 3.52019- 4 1.97658- 3 1.00000+ 1 1.40000+ 1 5.89281- 3 1.97918- 3 1.00000+ 1 1.60000+ 1 1.45530- 3 2.10971- 3 1.00000+ 1 1.80000+ 1 2.04482- 5 2.13104- 3 1.00000+ 1 1.90000+ 1 7.01104- 5 2.13293- 3 1.00000+ 1 2.10000+ 1 4.86887- 6 2.16300- 3 1.00000+ 1 2.20000+ 1 6.47550- 5 2.16315- 3 1.00000+ 1 2.70000+ 1 1.71386- 4 2.16355- 3 1.10000+ 1 1.10000+ 1 5.62861- 4 1.85284- 3 1.10000+ 1 1.30000+ 1 5.26230- 3 1.99063- 3 1.10000+ 1 1.40000+ 1 3.69443- 3 1.99323- 3 1.10000+ 1 1.60000+ 1 2.78462- 3 2.12376- 3 1.10000+ 1 1.80000+ 1 7.01124- 5 2.14509- 3 1.10000+ 1 1.90000+ 1 1.29026- 4 2.14698- 3 1.10000+ 1 2.10000+ 1 5.55061- 5 2.17705- 3 1.10000+ 1 2.20000+ 1 3.94393- 5 2.17720- 3 1.10000+ 1 2.70000+ 1 3.27690- 4 2.17760- 3 1.30000+ 1 1.30000+ 1 8.32562- 4 2.12842- 3 1.30000+ 1 1.40000+ 1 3.47351- 2 2.13102- 3 1.30000+ 1 1.60000+ 1 2.02239- 3 2.26155- 3 1.30000+ 1 1.80000+ 1 6.57277- 5 2.28288- 3 1.30000+ 1 1.90000+ 1 7.26920- 4 2.28477- 3 1.30000+ 1 2.10000+ 1 2.43440- 5 2.31484- 3 1.30000+ 1 2.20000+ 1 4.14325- 4 2.31499- 3 1.30000+ 1 2.70000+ 1 2.36607- 4 2.31539- 3 1.40000+ 1 1.40000+ 1 9.72634- 3 2.13362- 3 1.40000+ 1 1.60000+ 1 2.93981- 3 2.26415- 3 1.40000+ 1 1.80000+ 1 7.79488- 4 2.28548- 3 1.40000+ 1 1.90000+ 1 5.30711- 4 2.28737- 3 1.40000+ 1 2.10000+ 1 4.13848- 4 2.31744- 3 1.40000+ 1 2.20000+ 1 2.38562- 4 2.31759- 3 1.40000+ 1 2.70000+ 1 3.44225- 4 2.31799- 3 1.60000+ 1 1.60000+ 1 1.25132- 4 2.39468- 3 1.60000+ 1 1.80000+ 1 2.05458- 4 2.41601- 3 1.60000+ 1 1.90000+ 1 3.91446- 4 2.41790- 3 1.60000+ 1 2.10000+ 1 2.97007- 5 2.44797- 3 1.60000+ 1 2.20000+ 1 4.28442- 5 2.44812- 3 1.60000+ 1 2.70000+ 1 3.01874- 5 2.44852- 3 1.80000+ 1 1.80000+ 1 1.08883- 6 2.43734- 3 1.80000+ 1 1.90000+ 1 1.03438- 5 2.43923- 3 1.80000+ 1 2.10000+ 1 1.08883- 6 2.46930- 3 1.80000+ 1 2.20000+ 1 9.79951- 6 2.46945- 3 1.80000+ 1 2.70000+ 1 2.72210- 5 2.46985- 3 1.90000+ 1 1.90000+ 1 7.30320- 6 2.44112- 3 1.90000+ 1 2.10000+ 1 7.79017- 6 2.47119- 3 1.90000+ 1 2.20000+ 1 5.84261- 6 2.47134- 3 1.90000+ 1 2.70000+ 1 4.62539- 5 2.47174- 3 2.10000+ 1 2.20000+ 1 2.92120- 6 2.50141- 3 2.10000+ 1 2.70000+ 1 3.40819- 6 2.50181- 3 2.20000+ 1 2.20000+ 1 9.73757- 7 2.50156- 3 2.20000+ 1 2.70000+ 1 4.86883- 6 2.50196- 3 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 3.68000- 9 8.74000- 5 8.00000+ 0 3.10680- 3 1.89014- 3 1.10000+ 1 2.75940- 5 1.98132- 3 1.30000+ 1 2.72920- 2 2.11911- 3 1.60000+ 1 2.13450- 4 2.25224- 3 1.90000+ 1 9.26250- 7 2.27546- 3 2.10000+ 1 3.42880- 4 2.30553- 3 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.94971- 2 2.74400- 5 6.00000+ 0 1.80000+ 1 6.06862- 2 4.87700- 5 6.00000+ 0 1.90000+ 1 2.34235- 2 5.06600- 5 6.00000+ 0 2.10000+ 1 1.04571- 2 8.07300- 5 6.00000+ 0 2.20000+ 1 4.20298- 3 8.08800- 5 6.00000+ 0 2.70000+ 1 2.13315- 3 8.12800- 5 8.00000+ 0 8.00000+ 0 1.66960- 3 1.46808- 3 8.00000+ 0 1.00000+ 1 3.48939- 2 1.54521- 3 8.00000+ 0 1.10000+ 1 3.24523- 3 1.55926- 3 8.00000+ 0 1.30000+ 1 1.89539- 3 1.69705- 3 8.00000+ 0 1.40000+ 1 4.94049- 3 1.69965- 3 8.00000+ 0 1.60000+ 1 4.55042- 4 1.83018- 3 8.00000+ 0 1.80000+ 1 3.64218- 3 1.85151- 3 8.00000+ 0 1.90000+ 1 4.10564- 4 1.85340- 3 8.00000+ 0 2.10000+ 1 2.05287- 5 1.88347- 3 8.00000+ 0 2.20000+ 1 5.13203- 5 1.88362- 3 8.00000+ 0 2.70000+ 1 5.47426- 5 1.88402- 3 1.00000+ 1 1.00000+ 1 3.29321- 2 1.62234- 3 1.00000+ 1 1.10000+ 1 1.09038- 1 1.63639- 3 1.00000+ 1 1.30000+ 1 5.51691- 2 1.77418- 3 1.00000+ 1 1.40000+ 1 9.99103- 2 1.77678- 3 1.00000+ 1 1.60000+ 1 5.86932- 3 1.90731- 3 1.00000+ 1 1.80000+ 1 8.17531- 3 1.92864- 3 1.00000+ 1 1.90000+ 1 1.50471- 2 1.93053- 3 1.00000+ 1 2.10000+ 1 8.07415- 4 1.96060- 3 1.00000+ 1 2.20000+ 1 1.45578- 3 1.96075- 3 1.00000+ 1 2.70000+ 1 7.25310- 4 1.96115- 3 1.10000+ 1 1.10000+ 1 2.96457- 3 1.65044- 3 1.10000+ 1 1.30000+ 1 6.83308- 2 1.78823- 3 1.10000+ 1 1.40000+ 1 9.39312- 3 1.79083- 3 1.10000+ 1 1.60000+ 1 4.77275- 4 1.92136- 3 1.10000+ 1 1.80000+ 1 1.17507- 2 1.94269- 3 1.10000+ 1 1.90000+ 1 7.03112- 4 1.94458- 3 1.10000+ 1 2.10000+ 1 9.04910- 4 1.97465- 3 1.10000+ 1 2.20000+ 1 1.16328- 4 1.97480- 3 1.10000+ 1 2.70000+ 1 5.81630- 5 1.97520- 3 1.30000+ 1 1.30000+ 1 5.94112- 2 1.92602- 3 1.30000+ 1 1.40000+ 1 2.62408- 1 1.92862- 3 1.30000+ 1 1.60000+ 1 3.31884- 4 2.05915- 3 1.30000+ 1 1.80000+ 1 5.92754- 3 2.08048- 3 1.30000+ 1 1.90000+ 1 9.01348- 3 2.08237- 3 1.30000+ 1 2.10000+ 1 1.56365- 3 2.11244- 3 1.30000+ 1 2.20000+ 1 3.61302- 3 2.11259- 3 1.30000+ 1 2.70000+ 1 4.10565- 5 2.11299- 3 1.40000+ 1 1.40000+ 1 1.24601- 2 1.93122- 3 1.40000+ 1 1.60000+ 1 7.33880- 4 2.06175- 3 1.40000+ 1 1.80000+ 1 9.85397- 3 2.08308- 3 1.40000+ 1 1.90000+ 1 1.14794- 3 2.08497- 3 1.40000+ 1 2.10000+ 1 3.11526- 3 2.11504- 3 1.40000+ 1 2.20000+ 1 3.19904- 4 2.11519- 3 1.40000+ 1 2.70000+ 1 8.89596- 5 2.11559- 3 1.60000+ 1 1.60000+ 1 3.37432- 5 2.19228- 3 1.60000+ 1 1.80000+ 1 6.73003- 4 2.21361- 3 1.60000+ 1 1.90000+ 1 6.56128- 5 2.21550- 3 1.60000+ 1 2.10000+ 1 3.74925- 6 2.24557- 3 1.60000+ 1 2.20000+ 1 9.37321- 6 2.24572- 3 1.60000+ 1 2.70000+ 1 7.49859- 6 2.24612- 3 1.80000+ 1 1.80000+ 1 4.92668- 4 2.23494- 3 1.80000+ 1 1.90000+ 1 1.62173- 3 2.23683- 3 1.80000+ 1 2.10000+ 1 8.55310- 5 2.26690- 3 1.80000+ 1 2.20000+ 1 1.43699- 4 2.26705- 3 1.80000+ 1 2.70000+ 1 7.52715- 5 2.26745- 3 1.90000+ 1 1.90000+ 1 5.46065- 5 2.23872- 3 1.90000+ 1 2.10000+ 1 1.52892- 4 2.26879- 3 1.90000+ 1 2.20000+ 1 1.74746- 5 2.26894- 3 1.90000+ 1 2.70000+ 1 8.73677- 6 2.26934- 3 2.10000+ 1 2.10000+ 1 5.13186- 6 2.29886- 3 2.10000+ 1 2.20000+ 1 2.39491- 5 2.29901- 3 2.20000+ 1 2.20000+ 1 1.71075- 6 2.29916- 3 2.20000+ 1 2.70000+ 1 1.71075- 6 2.29956- 3 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.43089- 3 1.80274- 3 1.00000+ 1 1.77549- 5 1.87987- 3 1.10000+ 1 1.67809- 5 1.89392- 3 1.30000+ 1 2.68449- 3 2.03171- 3 1.40000+ 1 2.44299- 2 2.03431- 3 1.60000+ 1 2.02879- 4 2.16484- 3 1.80000+ 1 4.61389- 7 2.18617- 3 1.90000+ 1 4.42379- 7 2.18806- 3 2.10000+ 1 3.34459- 5 2.21813- 3 2.20000+ 1 2.96189- 4 2.21828- 3 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.96044- 3 1.38068- 3 8.00000+ 0 1.00000+ 1 1.47393- 3 1.45781- 3 8.00000+ 0 1.10000+ 1 3.92029- 2 1.47186- 3 8.00000+ 0 1.30000+ 1 3.62497- 3 1.60965- 3 8.00000+ 0 1.40000+ 1 3.83912- 3 1.61225- 3 8.00000+ 0 1.60000+ 1 5.35487- 4 1.74278- 3 8.00000+ 0 1.80000+ 1 1.81517- 4 1.76411- 3 8.00000+ 0 1.90000+ 1 4.11138- 3 1.76600- 3 8.00000+ 0 2.10000+ 1 3.63036- 5 1.79607- 3 8.00000+ 0 2.20000+ 1 3.63036- 5 1.79622- 3 8.00000+ 0 2.70000+ 1 6.35318- 5 1.79662- 3 1.00000+ 1 1.00000+ 1 5.42761- 4 1.53494- 3 1.00000+ 1 1.10000+ 1 6.38600- 2 1.54899- 3 1.00000+ 1 1.30000+ 1 4.22221- 3 1.68678- 3 1.00000+ 1 1.40000+ 1 3.83872- 2 1.68938- 3 1.00000+ 1 1.60000+ 1 2.12394- 4 1.81991- 3 1.00000+ 1 1.80000+ 1 1.32510- 4 1.84124- 3 1.00000+ 1 1.90000+ 1 6.88531- 3 1.84313- 3 1.00000+ 1 2.10000+ 1 5.99032- 5 1.87320- 3 1.00000+ 1 2.20000+ 1 4.91931- 4 1.87335- 3 1.00000+ 1 2.70000+ 1 2.54137- 5 1.87375- 3 1.10000+ 1 1.10000+ 1 9.23940- 2 1.56304- 3 1.10000+ 1 1.30000+ 1 8.69775- 2 1.70083- 3 1.10000+ 1 1.40000+ 1 1.33178- 1 1.70343- 3 1.10000+ 1 1.60000+ 1 6.54399- 3 1.83396- 3 1.10000+ 1 1.80000+ 1 8.73100- 3 1.85529- 3 1.10000+ 1 1.90000+ 1 2.27138- 2 1.85718- 3 1.10000+ 1 2.10000+ 1 1.24342- 3 1.88725- 3 1.10000+ 1 2.20000+ 1 1.88969- 3 1.88740- 3 1.10000+ 1 2.70000+ 1 8.07804- 4 1.88780- 3 1.30000+ 1 1.30000+ 1 1.17640- 2 1.83862- 3 1.30000+ 1 1.40000+ 1 2.30515- 1 1.84122- 3 1.30000+ 1 1.60000+ 1 5.62698- 4 1.97175- 3 1.30000+ 1 1.80000+ 1 5.73600- 4 1.99308- 3 1.30000+ 1 1.90000+ 1 8.89427- 3 1.99497- 3 1.30000+ 1 2.10000+ 1 3.12204- 4 2.02504- 3 1.30000+ 1 2.20000+ 1 2.76811- 3 2.02519- 3 1.30000+ 1 2.70000+ 1 6.89772- 5 2.02559- 3 1.40000+ 1 1.40000+ 1 1.56823- 1 1.84382- 3 1.40000+ 1 1.60000+ 1 6.28040- 4 1.97435- 3 1.40000+ 1 1.80000+ 1 4.96815- 3 1.99568- 3 1.40000+ 1 1.90000+ 1 1.47907- 2 1.99757- 3 1.40000+ 1 2.10000+ 1 3.08035- 3 2.02764- 3 1.40000+ 1 2.20000+ 1 4.03149- 3 2.02779- 3 1.40000+ 1 2.70000+ 1 7.80540- 5 2.02819- 3 1.60000+ 1 1.60000+ 1 3.82219- 5 2.10488- 3 1.60000+ 1 1.80000+ 1 2.86670- 5 2.12621- 3 1.60000+ 1 1.90000+ 1 7.24326- 4 2.12810- 3 1.60000+ 1 2.10000+ 1 5.73339- 6 2.15817- 3 1.60000+ 1 2.20000+ 1 5.73339- 6 2.15832- 3 1.60000+ 1 2.70000+ 1 9.55538- 6 2.15872- 3 1.80000+ 1 1.80000+ 1 7.26084- 6 2.14754- 3 1.80000+ 1 1.90000+ 1 9.42096- 4 2.14943- 3 1.80000+ 1 2.10000+ 1 7.26084- 6 2.17950- 3 1.80000+ 1 2.20000+ 1 6.53490- 5 2.17965- 3 1.80000+ 1 2.70000+ 1 3.63047- 6 2.18005- 3 1.90000+ 1 1.90000+ 1 1.36859- 3 2.15132- 3 1.90000+ 1 2.10000+ 1 1.27054- 4 2.18139- 3 1.90000+ 1 2.20000+ 1 2.08742- 4 2.18154- 3 1.90000+ 1 2.70000+ 1 8.53127- 5 2.18194- 3 2.10000+ 1 2.10000+ 1 1.81517- 6 2.21146- 3 2.10000+ 1 2.20000+ 1 1.99678- 5 2.21161- 3 2.20000+ 1 2.20000+ 1 1.45210- 5 2.21176- 3 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.28204- 5 7.71300- 5 1.10000+ 1 4.22173- 5 9.11800- 5 1.80000+ 1 4.38818- 5 3.83430- 4 1.90000+ 1 6.79333- 5 3.85320- 4 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 6.39722- 2 1.71700- 5 1.00000+ 1 1.80000+ 1 5.71842- 2 3.85000- 5 1.00000+ 1 1.90000+ 1 1.21546- 1 4.03900- 5 1.00000+ 1 2.10000+ 1 5.37702- 3 7.04600- 5 1.00000+ 1 2.20000+ 1 6.57089- 3 7.06100- 5 1.00000+ 1 2.70000+ 1 5.57841- 3 7.10100- 5 1.10000+ 1 1.60000+ 1 1.12383- 1 3.12200- 5 1.10000+ 1 1.80000+ 1 1.13459- 1 5.25500- 5 1.10000+ 1 1.90000+ 1 1.85841- 1 5.44400- 5 1.10000+ 1 2.10000+ 1 6.04968- 3 8.45100- 5 1.10000+ 1 2.20000+ 1 9.59848- 3 8.46600- 5 1.10000+ 1 2.70000+ 1 9.58693- 3 8.50600- 5 1.30000+ 1 1.30000+ 1 9.56478- 3 3.58800- 5 1.30000+ 1 1.40000+ 1 6.64057- 3 3.84800- 5 1.30000+ 1 1.60000+ 1 4.31087- 2 1.69010- 4 1.30000+ 1 1.80000+ 1 6.94678- 3 1.90340- 4 1.30000+ 1 1.90000+ 1 5.39351- 3 1.92230- 4 1.30000+ 1 2.10000+ 1 6.02841- 4 2.22300- 4 1.30000+ 1 2.20000+ 1 5.97102- 4 2.22450- 4 1.30000+ 1 2.70000+ 1 3.01930- 3 2.22850- 4 1.40000+ 1 1.40000+ 1 1.47457- 2 4.10800- 5 1.40000+ 1 1.60000+ 1 6.38155- 2 1.71610- 4 1.40000+ 1 1.80000+ 1 2.34676- 3 1.92940- 4 1.40000+ 1 1.90000+ 1 1.43060- 2 1.94830- 4 1.40000+ 1 2.10000+ 1 6.26740- 4 2.24900- 4 1.40000+ 1 2.20000+ 1 1.14802- 3 2.25050- 4 1.40000+ 1 2.70000+ 1 4.46077- 3 2.25450- 4 1.60000+ 1 1.60000+ 1 1.93500- 2 3.02140- 4 1.60000+ 1 1.80000+ 1 2.66637- 2 3.23470- 4 1.60000+ 1 1.90000+ 1 5.06296- 2 3.25360- 4 1.60000+ 1 2.10000+ 1 4.71701- 3 3.55430- 4 1.60000+ 1 2.20000+ 1 6.88232- 3 3.55580- 4 1.60000+ 1 2.70000+ 1 3.06682- 3 3.55980- 4 1.80000+ 1 1.80000+ 1 1.30409- 3 3.44800- 4 1.80000+ 1 1.90000+ 1 3.31499- 3 3.46690- 4 1.80000+ 1 2.10000+ 1 2.00622- 4 3.76760- 4 1.80000+ 1 2.20000+ 1 6.29887- 5 3.76910- 4 1.80000+ 1 2.70000+ 1 1.41837- 3 3.77310- 4 1.90000+ 1 1.90000+ 1 4.12307- 3 3.48580- 4 1.90000+ 1 2.10000+ 1 1.46439- 4 3.78650- 4 1.90000+ 1 2.20000+ 1 4.34717- 4 3.78800- 4 1.90000+ 1 2.70000+ 1 2.64504- 3 3.79200- 4 2.10000+ 1 2.20000+ 1 4.57624- 6 4.08870- 4 2.10000+ 1 2.70000+ 1 1.63223- 4 4.09270- 4 2.20000+ 1 2.20000+ 1 1.50229- 6 4.09020- 4 2.20000+ 1 2.70000+ 1 2.34357- 4 4.09420- 4 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 3.31060- 4 1.51840- 4 1.60000+ 1 9.36081- 5 2.84970- 4 2.10000+ 1 1.56040- 5 3.38260- 4 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 3.87418- 3 7.38000- 6 1.10000+ 1 2.20000+ 1 8.51837- 3 7.53000- 6 1.10000+ 1 2.70000+ 1 6.97046- 3 7.93000- 6 1.30000+ 1 1.60000+ 1 1.66908- 1 9.18800- 5 1.30000+ 1 1.80000+ 1 1.72679- 1 1.13210- 4 1.30000+ 1 1.90000+ 1 2.67507- 1 1.15100- 4 1.30000+ 1 2.10000+ 1 5.05025- 3 1.45170- 4 1.30000+ 1 2.20000+ 1 3.50760- 3 1.45320- 4 1.30000+ 1 2.70000+ 1 1.49392- 2 1.45720- 4 1.40000+ 1 1.60000+ 1 2.68655- 2 9.44800- 5 1.40000+ 1 1.80000+ 1 2.46769- 1 1.15810- 4 1.40000+ 1 1.90000+ 1 2.58473- 2 1.17700- 4 1.40000+ 1 2.10000+ 1 1.69667- 3 1.47770- 4 1.40000+ 1 2.20000+ 1 7.90630- 4 1.47920- 4 1.40000+ 1 2.70000+ 1 1.92134- 3 1.48320- 4 1.60000+ 1 1.60000+ 1 5.78115- 4 2.25010- 4 1.60000+ 1 1.80000+ 1 9.94732- 3 2.46340- 4 1.60000+ 1 1.90000+ 1 1.47628- 3 2.48230- 4 1.60000+ 1 2.10000+ 1 7.63726- 5 2.78300- 4 1.60000+ 1 2.20000+ 1 1.16009- 4 2.78450- 4 1.60000+ 1 2.70000+ 1 8.99089- 5 2.78850- 4 1.80000+ 1 1.80000+ 1 6.35530- 3 2.67670- 4 1.80000+ 1 1.90000+ 1 2.06049- 2 2.69560- 4 1.80000+ 1 2.10000+ 1 1.65116- 3 2.99630- 4 1.80000+ 1 2.20000+ 1 2.80109- 3 2.99780- 4 1.80000+ 1 2.70000+ 1 9.53580- 4 3.00180- 4 1.90000+ 1 1.90000+ 1 5.32480- 4 2.71450- 4 1.90000+ 1 2.10000+ 1 2.53075- 4 3.01520- 4 1.90000+ 1 2.20000+ 1 1.37681- 4 3.01670- 4 1.90000+ 1 2.70000+ 1 1.12364- 4 3.02070- 4 2.10000+ 1 2.20000+ 1 1.41727- 5 3.31740- 4 2.10000+ 1 2.70000+ 1 7.08636- 6 3.32140- 4 2.20000+ 1 2.20000+ 1 1.01240- 6 3.31890- 4 2.20000+ 1 2.70000+ 1 8.09880- 6 3.32290- 4 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.65625- 5 1.37790- 4 1.40000+ 1 2.55954- 4 1.40390- 4 1.60000+ 1 1.07222- 4 2.70920- 4 2.10000+ 1 1.93148- 6 3.24210- 4 2.20000+ 1 1.59796- 5 3.24360- 4 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 3.29672- 2 7.78300- 5 1.30000+ 1 1.80000+ 1 2.28996- 2 9.91600- 5 1.30000+ 1 1.90000+ 1 1.78500- 1 1.01050- 4 1.30000+ 1 2.10000+ 1 1.20935- 3 1.31120- 4 1.30000+ 1 2.20000+ 1 1.08512- 3 1.31270- 4 1.30000+ 1 2.70000+ 1 2.63711- 3 1.31670- 4 1.40000+ 1 1.60000+ 1 1.60481- 1 8.04300- 5 1.40000+ 1 1.80000+ 1 1.52508- 1 1.01760- 4 1.40000+ 1 1.90000+ 1 3.61640- 1 1.03650- 4 1.40000+ 1 2.10000+ 1 2.67759- 3 1.33720- 4 1.40000+ 1 2.20000+ 1 7.05849- 3 1.33870- 4 1.40000+ 1 2.70000+ 1 1.41804- 2 1.34270- 4 1.60000+ 1 1.60000+ 1 6.01208- 4 2.10960- 4 1.60000+ 1 1.80000+ 1 9.46718- 4 2.32290- 4 1.60000+ 1 1.90000+ 1 1.52984- 2 2.34180- 4 1.60000+ 1 2.10000+ 1 1.14257- 4 2.64250- 4 1.60000+ 1 2.20000+ 1 1.56419- 4 2.64400- 4 1.60000+ 1 2.70000+ 1 9.38515- 5 2.64800- 4 1.80000+ 1 1.80000+ 1 1.86650- 4 2.53620- 4 1.80000+ 1 1.90000+ 1 1.55459- 2 2.55510- 4 1.80000+ 1 2.10000+ 1 6.54671- 5 2.85580- 4 1.80000+ 1 2.20000+ 1 2.66051- 4 2.85730- 4 1.80000+ 1 2.70000+ 1 7.38273- 5 2.86130- 4 1.90000+ 1 1.90000+ 1 2.11154- 2 2.57400- 4 1.90000+ 1 2.10000+ 1 2.51200- 3 2.87470- 4 1.90000+ 1 2.20000+ 1 3.45886- 3 2.87620- 4 1.90000+ 1 2.70000+ 1 1.28555- 3 2.88020- 4 2.10000+ 1 2.20000+ 1 1.03529- 5 3.17690- 4 2.10000+ 1 2.70000+ 1 5.64696- 6 3.18090- 4 2.20000+ 1 2.20000+ 1 2.82321- 6 3.17840- 4 2.20000+ 1 2.70000+ 1 8.46972- 6 3.18240- 4 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 5.66062- 5 1.54460- 4 1.90000+ 1 1.02430- 5 1.56350- 4 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 5.04693- 2 7.31700- 5 1.60000+ 1 1.80000+ 1 2.01380- 1 9.45000- 5 1.60000+ 1 1.90000+ 1 2.36700- 1 9.63900- 5 1.60000+ 1 2.10000+ 1 9.27501- 2 1.26460- 4 1.60000+ 1 2.20000+ 1 2.00732- 2 1.26610- 4 1.60000+ 1 2.70000+ 1 4.79932- 3 1.27010- 4 1.80000+ 1 1.80000+ 1 2.51465- 3 1.15830- 4 1.80000+ 1 1.90000+ 1 8.30272- 2 1.17720- 4 1.80000+ 1 2.10000+ 1 6.96858- 2 1.47790- 4 1.80000+ 1 2.20000+ 1 9.24901- 3 1.47940- 4 1.80000+ 1 2.70000+ 1 6.56379- 3 1.48340- 4 1.90000+ 1 1.90000+ 1 4.18992- 2 1.19610- 4 1.90000+ 1 2.10000+ 1 1.36485- 1 1.49680- 4 1.90000+ 1 2.20000+ 1 7.88461- 3 1.49830- 4 1.90000+ 1 2.70000+ 1 8.34162- 3 1.50230- 4 2.10000+ 1 2.20000+ 1 1.98067- 2 1.79900- 4 2.10000+ 1 2.70000+ 1 7.35136- 3 1.80300- 4 2.20000+ 1 2.20000+ 1 7.61811- 5 1.80050- 4 2.20000+ 1 2.70000+ 1 8.76092- 4 1.80450- 4 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 5.73698- 5 1.53750- 4 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 5.36004- 2 7.05700- 5 1.60000+ 1 1.80000+ 1 1.26761- 1 9.19000- 5 1.60000+ 1 1.90000+ 1 3.14450- 1 9.37900- 5 1.60000+ 1 2.10000+ 1 1.35155- 2 1.23860- 4 1.60000+ 1 2.20000+ 1 9.35050- 2 1.24010- 4 1.60000+ 1 2.70000+ 1 5.08605- 3 1.24410- 4 1.80000+ 1 1.80000+ 1 3.45020- 3 1.13230- 4 1.80000+ 1 1.90000+ 1 7.57273- 2 1.15120- 4 1.80000+ 1 2.10000+ 1 2.31205- 3 1.45190- 4 1.80000+ 1 2.20000+ 1 6.93248- 2 1.45340- 4 1.80000+ 1 2.70000+ 1 4.69512- 3 1.45740- 4 1.90000+ 1 1.90000+ 1 4.56479- 2 1.17010- 4 1.90000+ 1 2.10000+ 1 1.03398- 2 1.47080- 4 1.90000+ 1 2.20000+ 1 1.46526- 1 1.47230- 4 1.90000+ 1 2.70000+ 1 1.14553- 2 1.47630- 4 2.10000+ 1 2.20000+ 1 1.28043- 2 1.77300- 4 2.10000+ 1 2.70000+ 1 6.04636- 4 1.77700- 4 2.20000+ 1 2.20000+ 1 2.98770- 3 1.77450- 4 2.20000+ 1 2.70000+ 1 7.14927- 3 1.77850- 4 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.20950- 6 2.13300- 5 1.90000+ 1 3.16379- 6 2.32200- 5 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10000+ 1 6.46625- 2 1.46600- 5 1.80000+ 1 2.20000+ 1 2.10112- 1 1.48100- 5 1.80000+ 1 2.70000+ 1 5.63451- 2 1.52100- 5 1.90000+ 1 2.10000+ 1 2.74649- 1 1.65500- 5 1.90000+ 1 2.20000+ 1 2.78866- 1 1.67000- 5 1.90000+ 1 2.70000+ 1 1.01454- 1 1.71000- 5 2.10000+ 1 2.20000+ 1 4.48820- 3 4.67700- 5 2.10000+ 1 2.70000+ 1 3.89189- 3 4.71700- 5 2.20000+ 1 2.20000+ 1 2.37050- 4 4.69200- 5 2.20000+ 1 2.70000+ 1 5.29024- 3 4.73200- 5 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.47610- 7 3.19600- 5 2.70000+ 1 6.00899- 8 3.25100- 5 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.20000+ 1 8.14030- 1 2.54400- 5 2.10000+ 1 2.70000+ 1 1.58419- 1 2.58400- 5 2.20000+ 1 2.20000+ 1 4.81824- 3 2.55900- 5 2.20000+ 1 2.70000+ 1 2.27327- 2 2.59900- 5 1 40000 0 7 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 8.75180- 9 3.00700- 5 2.20000+ 1 7.96830- 8 3.02200- 5 2.70000+ 1 1.42050- 8 3.06200- 5 1 40000 0 9 9.12200+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.20000+ 1 5.97340- 1 2.35500- 5 2.10000+ 1 2.70000+ 1 4.13902- 2 2.39500- 5 2.20000+ 1 2.20000+ 1 1.14184- 1 2.37000- 5 2.20000+ 1 2.70000+ 1 2.47086- 1 2.41000- 5 1 41000 0 0 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 1.60000+ 0 2.20000+ 1 2.40000+ 0 2.70000+ 1 1.00000+ 0 1 41000 0 0 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.89480- 2 3.00000+ 0 2.67630- 3 5.00000+ 0 2.46660- 3 6.00000+ 0 2.36910- 3 8.00000+ 0 4.55980- 4 1.00000+ 1 3.75220- 4 1.10000+ 1 3.59280- 4 1.30000+ 1 2.14820- 4 1.40000+ 1 2.11810- 4 1.60000+ 1 6.34500- 5 1.80000+ 1 4.05800- 5 1.90000+ 1 3.83600- 5 2.10000+ 1 5.94000- 6 2.20000+ 1 5.76000- 6 2.70000+ 1 5.73000- 6 1 41000 0 0 9.29064+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.39840- 2 3.00000+ 0 4.96890- 3 5.00000+ 0 4.96950- 3 6.00000+ 0 4.61340- 3 8.00000+ 0 1.30550- 3 1.00000+ 1 1.24860- 3 1.10000+ 1 1.17440- 3 1.30000+ 1 1.05920- 3 1.40000+ 1 1.04150- 3 1.60000+ 1 2.88210- 4 1.80000+ 1 2.39970- 4 1.90000+ 1 2.25730- 4 2.10000+ 1 1.07000- 4 2.20000+ 1 1.04320- 4 2.70000+ 1 2.81500- 5 1 41000 0 0 9.29064+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.90570-10 3.00000+ 0 8.30630-10 5.00000+ 0 7.07440-10 6.00000+ 0 7.31000-10 8.00000+ 0 2.32200- 9 1.00000+ 1 2.29110- 9 1.10000+ 1 2.34550- 9 1.30000+ 1 2.23430- 9 1.40000+ 1 2.25210- 9 1.60000+ 1 6.01640- 9 1.80000+ 1 6.60720- 9 1.90000+ 1 6.76550- 9 2.10000+ 1 1.04960- 8 2.20000+ 1 1.06430- 8 2.70000+ 1 2.01030- 8 1 41000 0 0 9.29064+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.99400- 6 3.00000+ 0 3.59910- 8 5.00000+ 0 5.51230- 8 6.00000+ 0 5.32990- 8 8.00000+ 0 4.80350-10 1.00000+ 1 4.68850-10 1.10000+ 1 4.13730-10 1.30000+ 1 3.36610-11 1.40000+ 1 3.10220-11 1.60000+ 1 1.41640-11 1.80000+ 1 1.31730-11 1.90000+ 1 1.16970-11 1 41000 0 0 9.29064+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.02550- 6 3.00000+ 0 5.86360- 6 5.00000+ 0 1.63560- 6 6.00000+ 0 1.53170- 6 8.00000+ 0 7.97610- 6 1.00000+ 1 2.78810- 6 1.10000+ 1 2.93530- 6 1.30000+ 1 9.16430- 8 1.40000+ 1 9.53130- 8 1.60000+ 1 7.96120- 6 1.80000+ 1 1.03350- 6 1.90000+ 1 1.07330- 6 1 41000 0 0 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.34495- 5 3.00000+ 0 7.00877- 5 5.00000+ 0 5.33968- 5 6.00000+ 0 5.17056- 5 8.00000+ 0 4.29924- 5 1.00000+ 1 3.46131- 5 1.10000+ 1 3.42388- 5 1.30000+ 1 2.23501- 5 1.40000+ 1 2.24909- 5 1.60000+ 1 1.73835- 5 1.80000+ 1 1.17098- 5 1.90000+ 1 1.16355- 5 2.10000+ 1 5.94000- 6 2.20000+ 1 5.76000- 6 2.70000+ 1 5.73000- 6 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.84887- 1 3.00000+ 0 3.57925- 2 5.00000+ 0 3.88475- 2 6.00000+ 0 3.56540- 2 8.00000+ 0 6.17578- 4 1.00000+ 1 6.21790- 4 1.10000+ 1 5.68856- 4 1.30000+ 1 1.02385- 4 1.40000+ 1 8.90418- 5 1.60000+ 1 6.55884- 6 1.80000+ 1 9.64753- 7 1.90000+ 1 2.45861- 7 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.26645- 2 3.00000+ 0 7.63919- 5 5.00000+ 0 8.52435- 5 6.00000+ 0 7.49351- 5 8.00000+ 0 1.45180- 7 1.00000+ 1 1.26429- 7 1.10000+ 1 1.14344- 7 1.30000+ 1 1.73127- 8 1.40000+ 1 1.48742- 8 1.60000+ 1 1.65052-10 1.80000+ 1 3.34348-11 1.90000+ 1 8.01161-12 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.88253+ 0 3.00000+ 0 1.10224+ 1 5.00000+ 0 8.15337+ 0 6.00000+ 0 7.87071+ 0 8.00000+ 0 6.37375+ 0 1.00000+ 1 4.93050+ 0 1.10000+ 1 4.87567+ 0 1.30000+ 1 2.82441+ 0 1.40000+ 1 2.86333+ 0 1.60000+ 1 1.98185+ 0 1.80000+ 1 9.99999- 1 1.90000+ 1 1.00000+ 0 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.22005- 3 3.00000+ 0 2.52982- 3 5.00000+ 0 2.32796- 3 6.00000+ 0 2.24246- 3 8.00000+ 0 4.12842- 4 1.00000+ 1 3.40480- 4 1.10000+ 1 3.24927- 4 1.30000+ 1 1.92453- 4 1.40000+ 1 1.89304- 4 1.60000+ 1 4.60663- 5 1.80000+ 1 2.88702- 5 1.90000+ 1 2.67245- 5 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.16740- 1 1.64814- 2 6.00000+ 0 4.13889- 1 1.65789- 2 1.00000+ 1 3.31819- 2 1.85728- 2 1.10000+ 1 6.46149- 2 1.85887- 2 1.30000+ 1 1.49620- 4 1.87332- 2 1.40000+ 1 2.12010- 4 1.87362- 2 1.80000+ 1 5.86619- 3 1.89074- 2 1.90000+ 1 1.12170- 2 1.89096- 2 2.10000+ 1 4.28589- 6 1.89421- 2 2.20000+ 1 6.00769- 6 1.89422- 2 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 1.80219- 2 1.35954- 2 3.00000+ 0 5.00000+ 0 2.03407- 2 1.38051- 2 3.00000+ 0 6.00000+ 0 3.12706- 2 1.39026- 2 3.00000+ 0 8.00000+ 0 5.74453- 3 1.58157- 2 3.00000+ 0 1.00000+ 1 3.36890- 3 1.58965- 2 3.00000+ 0 1.10000+ 1 5.15925- 3 1.59124- 2 3.00000+ 0 1.30000+ 1 2.75115- 4 1.60569- 2 3.00000+ 0 1.40000+ 1 3.41214- 4 1.60599- 2 3.00000+ 0 1.60000+ 1 9.70359- 4 1.62082- 2 3.00000+ 0 1.80000+ 1 4.93612- 4 1.62311- 2 3.00000+ 0 1.90000+ 1 7.51196- 4 1.62333- 2 3.00000+ 0 2.10000+ 1 8.76630- 6 1.62658- 2 3.00000+ 0 2.20000+ 1 1.07894- 5 1.62659- 2 3.00000+ 0 2.70000+ 1 5.19231- 5 1.62660- 2 5.00000+ 0 5.00000+ 0 3.18622- 3 1.40148- 2 5.00000+ 0 6.00000+ 0 7.15087- 2 1.41123- 2 5.00000+ 0 8.00000+ 0 2.69447- 3 1.60254- 2 5.00000+ 0 1.00000+ 1 9.64282- 4 1.61062- 2 5.00000+ 0 1.10000+ 1 9.96364- 3 1.61221- 2 5.00000+ 0 1.30000+ 1 3.58754- 4 1.62666- 2 5.00000+ 0 1.40000+ 1 1.27517- 3 1.62696- 2 5.00000+ 0 1.60000+ 1 4.41009- 4 1.64179- 2 5.00000+ 0 1.80000+ 1 1.39589- 4 1.64408- 2 5.00000+ 0 1.90000+ 1 1.41541- 3 1.64430- 2 5.00000+ 0 2.10000+ 1 1.14637- 5 1.64755- 2 5.00000+ 0 2.20000+ 1 4.04593- 5 1.64756- 2 5.00000+ 0 2.70000+ 1 2.36018- 5 1.64757- 2 6.00000+ 0 6.00000+ 0 3.78960- 2 1.42098- 2 6.00000+ 0 8.00000+ 0 4.13981- 3 1.61229- 2 6.00000+ 0 1.00000+ 1 9.87904- 3 1.62037- 2 6.00000+ 0 1.10000+ 1 1.07916- 2 1.62196- 2 6.00000+ 0 1.30000+ 1 1.55439- 3 1.63641- 2 6.00000+ 0 1.40000+ 1 1.48158- 3 1.63671- 2 6.00000+ 0 1.60000+ 1 6.77715- 4 1.65154- 2 6.00000+ 0 1.80000+ 1 1.41005- 3 1.65383- 2 6.00000+ 0 1.90000+ 1 1.53885- 3 1.65405- 2 6.00000+ 0 2.10000+ 1 4.99008- 5 1.65730- 2 6.00000+ 0 2.20000+ 1 4.72024- 5 1.65731- 2 6.00000+ 0 2.70000+ 1 3.57405- 5 1.65732- 2 8.00000+ 0 8.00000+ 0 4.51128- 4 1.80360- 2 8.00000+ 0 1.00000+ 1 4.49773- 4 1.81168- 2 8.00000+ 0 1.10000+ 1 6.87155- 4 1.81327- 2 8.00000+ 0 1.30000+ 1 3.43881- 5 1.82772- 2 8.00000+ 0 1.40000+ 1 4.18088- 5 1.82802- 2 8.00000+ 0 1.60000+ 1 1.52398- 4 1.84286- 2 8.00000+ 0 1.80000+ 1 6.60828- 5 1.84514- 2 8.00000+ 0 1.90000+ 1 1.00473- 4 1.84537- 2 8.00000+ 0 2.10000+ 1 1.34868- 6 1.84861- 2 8.00000+ 0 2.20000+ 1 1.34868- 6 1.84863- 2 8.00000+ 0 2.70000+ 1 8.09183- 6 1.84863- 2 1.00000+ 1 1.00000+ 1 6.97848- 5 1.81976- 2 1.00000+ 1 1.10000+ 1 1.38708- 3 1.82135- 2 1.00000+ 1 1.30000+ 1 3.82482- 5 1.83580- 2 1.00000+ 1 1.40000+ 1 1.39569- 4 1.83610- 2 1.00000+ 1 1.60000+ 1 7.31440- 5 1.85093- 2 1.00000+ 1 1.80000+ 1 2.01311- 5 1.85322- 2 1.00000+ 1 1.90000+ 1 1.97276- 4 1.85344- 2 1.00000+ 1 2.10000+ 1 1.34208- 6 1.85668- 2 1.00000+ 1 2.20000+ 1 4.69706- 6 1.85670- 2 1.00000+ 1 2.70000+ 1 4.02612- 6 1.85670- 2 1.10000+ 1 1.10000+ 1 7.69410- 4 1.82294- 2 1.10000+ 1 1.30000+ 1 1.76676- 4 1.83739- 2 1.10000+ 1 1.40000+ 1 1.64545- 4 1.83769- 2 1.10000+ 1 1.60000+ 1 1.12618- 4 1.85253- 2 1.10000+ 1 1.80000+ 1 1.98929- 4 1.85481- 2 1.10000+ 1 1.90000+ 1 2.19159- 4 1.85504- 2 1.10000+ 1 2.10000+ 1 5.39492- 6 1.85828- 2 1.10000+ 1 2.20000+ 1 5.39492- 6 1.85830- 2 1.10000+ 1 2.70000+ 1 6.06918- 6 1.85830- 2 1.30000+ 1 1.40000+ 1 1.82073- 5 1.85214- 2 1.30000+ 1 1.60000+ 1 5.39487- 6 1.86697- 2 1.30000+ 1 1.80000+ 1 5.39487- 6 1.86926- 2 1.30000+ 1 1.90000+ 1 2.42765- 5 1.86948- 2 1.30000+ 1 2.20000+ 1 6.74337- 7 1.87274- 2 1.40000+ 1 1.40000+ 1 4.85488- 6 1.85244- 2 1.40000+ 1 1.60000+ 1 6.93573- 6 1.86727- 2 1.40000+ 1 1.80000+ 1 2.01139- 5 1.86956- 2 1.40000+ 1 1.90000+ 1 2.28882- 5 1.86978- 2 1.40000+ 1 2.10000+ 1 6.93573- 7 1.87302- 2 1.40000+ 1 2.70000+ 1 6.93573- 7 1.87305- 2 1.60000+ 1 1.60000+ 1 1.28624- 5 1.88211- 2 1.60000+ 1 1.80000+ 1 1.08314- 5 1.88440- 2 1.60000+ 1 1.90000+ 1 1.62472- 5 1.88462- 2 1.60000+ 1 2.70000+ 1 1.35393- 6 1.88788- 2 1.80000+ 1 1.80000+ 1 1.30756- 6 1.88668- 2 1.80000+ 1 1.90000+ 1 2.74568- 5 1.88691- 2 1.80000+ 1 2.20000+ 1 6.53770- 7 1.89017- 2 1.80000+ 1 2.70000+ 1 6.53770- 7 1.89017- 2 1.90000+ 1 1.90000+ 1 1.50906- 5 1.88713- 2 1.90000+ 1 2.10000+ 1 6.56106- 7 1.89037- 2 1.90000+ 1 2.20000+ 1 6.56106- 7 1.89039- 2 1.90000+ 1 2.70000+ 1 6.56106- 7 1.89039- 2 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.44469- 5 2.09700- 4 6.00000+ 0 9.10735- 5 3.07200- 4 1.00000+ 1 1.83809- 3 2.30108- 3 1.10000+ 1 3.18188- 3 2.31702- 3 1.30000+ 1 1.49499- 5 2.46148- 3 1.40000+ 1 2.22739- 5 2.46449- 3 1.80000+ 1 2.74859- 4 2.63572- 3 1.90000+ 1 4.79487- 4 2.63794- 3 2.10000+ 1 3.29878- 7 2.67036- 3 2.20000+ 1 4.89657- 7 2.67054- 3 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 2.21211- 2 1.46250- 4 5.00000+ 0 1.80000+ 1 1.42290- 2 1.69120- 4 5.00000+ 0 1.90000+ 1 1.95477- 2 1.71340- 4 5.00000+ 0 2.10000+ 1 1.47751- 3 2.03760- 4 5.00000+ 0 2.20000+ 1 2.50305- 3 2.03940- 4 5.00000+ 0 2.70000+ 1 1.15135- 3 2.03970- 4 6.00000+ 0 1.30000+ 1 2.77150- 1 9.23800- 5 6.00000+ 0 1.40000+ 1 3.95478- 1 9.53900- 5 6.00000+ 0 1.60000+ 1 3.45530- 2 2.43750- 4 6.00000+ 0 1.80000+ 1 1.46831- 2 2.66620- 4 6.00000+ 0 1.90000+ 1 2.99523- 2 2.68840- 4 6.00000+ 0 2.10000+ 1 5.48059- 3 3.01260- 4 6.00000+ 0 2.20000+ 1 7.32036- 3 3.01440- 4 6.00000+ 0 2.70000+ 1 1.78886- 3 3.01470- 4 8.00000+ 0 8.00000+ 0 6.05255- 3 1.76434- 3 8.00000+ 0 1.00000+ 1 1.17635- 2 1.84510- 3 8.00000+ 0 1.10000+ 1 2.24521- 2 1.86104- 3 8.00000+ 0 1.30000+ 1 1.71764- 2 2.00550- 3 8.00000+ 0 1.40000+ 1 2.48695- 2 2.00851- 3 8.00000+ 0 1.60000+ 1 1.78025- 3 2.15687- 3 8.00000+ 0 1.80000+ 1 1.69984- 3 2.17974- 3 8.00000+ 0 1.90000+ 1 3.22354- 3 2.18196- 3 8.00000+ 0 2.10000+ 1 5.00969- 4 2.21438- 3 8.00000+ 0 2.20000+ 1 7.19619- 4 2.21456- 3 8.00000+ 0 2.70000+ 1 9.31809- 5 2.21459- 3 1.00000+ 1 1.00000+ 1 1.01943- 4 1.92586- 3 1.00000+ 1 1.10000+ 1 5.06961- 4 1.94180- 3 1.00000+ 1 1.30000+ 1 3.57969- 4 2.08626- 3 1.00000+ 1 1.40000+ 1 5.83862- 3 2.08927- 3 1.00000+ 1 1.60000+ 1 1.43880- 3 2.23763- 3 1.00000+ 1 1.80000+ 1 1.89127- 5 2.26050- 3 1.00000+ 1 1.90000+ 1 7.01158- 5 2.26272- 3 1.00000+ 1 2.10000+ 1 1.01483- 5 2.29514- 3 1.00000+ 1 2.20000+ 1 1.25938- 4 2.29532- 3 1.00000+ 1 2.70000+ 1 7.33453- 5 2.29535- 3 1.10000+ 1 1.10000+ 1 5.41105- 4 1.95774- 3 1.10000+ 1 1.30000+ 1 5.13470- 3 2.10220- 3 1.10000+ 1 1.40000+ 1 3.60143- 3 2.10521- 3 1.10000+ 1 1.60000+ 1 2.74758- 3 2.25357- 3 1.10000+ 1 1.80000+ 1 7.01184- 5 2.27644- 3 1.10000+ 1 1.90000+ 1 1.26393- 4 2.27866- 3 1.10000+ 1 2.10000+ 1 1.05638- 4 2.31108- 3 1.10000+ 1 2.20000+ 1 7.51923- 5 2.31126- 3 1.10000+ 1 2.70000+ 1 1.39775- 4 2.31129- 3 1.30000+ 1 1.30000+ 1 8.36324- 4 2.24666- 3 1.30000+ 1 1.40000+ 1 3.43087- 2 2.24967- 3 1.30000+ 1 1.60000+ 1 2.01448- 3 2.39803- 3 1.30000+ 1 1.80000+ 1 6.78103- 5 2.42090- 3 1.30000+ 1 1.90000+ 1 7.26529- 4 2.42312- 3 1.30000+ 1 2.10000+ 1 4.88957- 5 2.45554- 3 1.30000+ 1 2.20000+ 1 8.03109- 4 2.45572- 3 1.30000+ 1 2.70000+ 1 1.01943- 4 2.45575- 3 1.40000+ 1 1.40000+ 1 9.62072- 3 2.25268- 3 1.40000+ 1 1.60000+ 1 2.92424- 3 2.40104- 3 1.40000+ 1 1.80000+ 1 7.90689- 4 2.42391- 3 1.40000+ 1 1.90000+ 1 5.30049- 4 2.42613- 3 1.40000+ 1 2.10000+ 1 8.04520- 4 2.45855- 3 1.40000+ 1 2.20000+ 1 4.63627- 4 2.45873- 3 1.40000+ 1 2.70000+ 1 1.48078- 4 2.45876- 3 1.60000+ 1 1.60000+ 1 1.25939- 4 2.54940- 3 1.60000+ 1 1.80000+ 1 2.08040- 4 2.57227- 3 1.60000+ 1 1.90000+ 1 3.94857- 4 2.57449- 3 1.60000+ 1 2.10000+ 1 5.85854- 5 2.60691- 3 1.60000+ 1 2.20000+ 1 8.44171- 5 2.60709- 3 1.60000+ 1 2.70000+ 1 1.29169- 5 2.60712- 3 1.80000+ 1 1.80000+ 1 1.26494- 6 2.59514- 3 1.80000+ 1 1.90000+ 1 1.32819- 5 2.59736- 3 1.80000+ 1 2.10000+ 1 2.52989- 6 2.62978- 3 1.80000+ 1 2.20000+ 1 2.40331- 5 2.62996- 3 1.80000+ 1 2.70000+ 1 1.45479- 5 2.62999- 3 1.90000+ 1 1.90000+ 1 9.86221- 6 2.59958- 3 1.90000+ 1 2.10000+ 1 2.03402- 5 2.63200- 3 1.90000+ 1 2.20000+ 1 1.47940- 5 2.63218- 3 1.90000+ 1 2.70000+ 1 2.71212- 5 2.63221- 3 2.10000+ 1 2.10000+ 1 4.61286- 7 2.66442- 3 2.10000+ 1 2.20000+ 1 1.61450- 5 2.66460- 3 2.10000+ 1 2.70000+ 1 2.76763- 6 2.66463- 3 2.20000+ 1 2.20000+ 1 4.61295- 6 2.66478- 3 2.20000+ 1 2.70000+ 1 4.15170- 6 2.66481- 3 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 4.42520- 9 9.75000- 5 8.00000+ 0 3.07200- 3 2.01062- 3 1.10000+ 1 2.88300- 5 2.10732- 3 1.30000+ 1 2.97420- 2 2.25178- 3 1.60000+ 1 2.27820- 4 2.40315- 3 1.90000+ 1 1.07000- 6 2.42824- 3 2.10000+ 1 7.34840- 4 2.46066- 3 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.87213- 2 3.40500- 5 6.00000+ 0 1.80000+ 1 5.84216- 2 5.69200- 5 6.00000+ 0 1.90000+ 1 2.22654- 2 5.91400- 5 6.00000+ 0 2.10000+ 1 1.97238- 2 9.15600- 5 6.00000+ 0 2.20000+ 1 7.82873- 3 9.17400- 5 6.00000+ 0 2.70000+ 1 8.79151- 4 9.17700- 5 8.00000+ 0 8.00000+ 0 1.58788- 3 1.55464- 3 8.00000+ 0 1.00000+ 1 3.35811- 2 1.63540- 3 8.00000+ 0 1.10000+ 1 3.14051- 3 1.65134- 3 8.00000+ 0 1.30000+ 1 1.85631- 3 1.79580- 3 8.00000+ 0 1.40000+ 1 4.79749- 3 1.79881- 3 8.00000+ 0 1.60000+ 1 4.41971- 4 1.94717- 3 8.00000+ 0 1.80000+ 1 3.56642- 3 1.97004- 3 8.00000+ 0 1.90000+ 1 4.06622- 4 1.97226- 3 8.00000+ 0 2.10000+ 1 4.01808- 5 2.00468- 3 8.00000+ 0 2.20000+ 1 9.80440- 5 2.00486- 3 8.00000+ 0 2.70000+ 1 2.25016- 5 2.00489- 3 1.00000+ 1 1.00000+ 1 3.17997- 2 1.71616- 3 1.00000+ 1 1.10000+ 1 1.04926- 1 1.73210- 3 1.00000+ 1 1.30000+ 1 5.37437- 2 1.87656- 3 1.00000+ 1 1.40000+ 1 9.68980- 2 1.87957- 3 1.00000+ 1 1.60000+ 1 5.77813- 3 2.02793- 3 1.00000+ 1 1.80000+ 1 8.07620- 3 2.05080- 3 1.00000+ 1 1.90000+ 1 1.48138- 2 2.05302- 3 1.00000+ 1 2.10000+ 1 1.56068- 3 2.08544- 3 1.00000+ 1 2.20000+ 1 2.79499- 3 2.08562- 3 1.00000+ 1 2.70000+ 1 3.08600- 4 2.08565- 3 1.10000+ 1 1.10000+ 1 2.84634- 3 1.74804- 3 1.10000+ 1 1.30000+ 1 6.65256- 2 1.89250- 3 1.10000+ 1 1.40000+ 1 9.10666- 3 1.89551- 3 1.10000+ 1 1.60000+ 1 4.70916- 4 2.04387- 3 1.10000+ 1 1.80000+ 1 1.15209- 2 2.06674- 3 1.10000+ 1 1.90000+ 1 6.89473- 4 2.06896- 3 1.10000+ 1 2.10000+ 1 1.74218- 3 2.10138- 3 1.10000+ 1 2.20000+ 1 2.21793- 4 2.10156- 3 1.10000+ 1 2.70000+ 1 2.41076- 5 2.10159- 3 1.30000+ 1 1.30000+ 1 5.83064- 2 2.03696- 3 1.30000+ 1 1.40000+ 1 2.57030- 1 2.03997- 3 1.30000+ 1 1.60000+ 1 3.34302- 4 2.18833- 3 1.30000+ 1 1.80000+ 1 5.89034- 3 2.21120- 3 1.30000+ 1 1.90000+ 1 8.96964- 3 2.21342- 3 1.30000+ 1 2.10000+ 1 3.03595- 3 2.24584- 3 1.30000+ 1 2.20000+ 1 6.98622- 3 2.24602- 3 1.30000+ 1 2.70000+ 1 1.76793- 5 2.24605- 3 1.40000+ 1 1.40000+ 1 1.22000- 2 2.04298- 3 1.40000+ 1 1.60000+ 1 7.26452- 4 2.19134- 3 1.40000+ 1 1.80000+ 1 9.72040- 3 2.21421- 3 1.40000+ 1 1.90000+ 1 1.13631- 3 2.21643- 3 1.40000+ 1 2.10000+ 1 6.00106- 3 2.24885- 3 1.40000+ 1 2.20000+ 1 6.17173- 4 2.24903- 3 1.40000+ 1 2.70000+ 1 3.85734- 5 2.24906- 3 1.60000+ 1 1.60000+ 1 3.56706- 5 2.33970- 3 1.60000+ 1 1.80000+ 1 7.19069- 4 2.36257- 3 1.60000+ 1 1.90000+ 1 7.13423- 5 2.36479- 3 1.60000+ 1 2.10000+ 1 9.38699- 6 2.39721- 3 1.60000+ 1 2.20000+ 1 1.68968- 5 2.39739- 3 1.60000+ 1 2.70000+ 1 3.75487- 6 2.39742- 3 1.80000+ 1 1.80000+ 1 4.98220- 4 2.38544- 3 1.80000+ 1 1.90000+ 1 1.62641- 3 2.38766- 3 1.80000+ 1 2.10000+ 1 1.70361- 4 2.42008- 3 1.80000+ 1 2.20000+ 1 2.81265- 4 2.42026- 3 1.80000+ 1 2.70000+ 1 3.21439- 5 2.42029- 3 1.90000+ 1 1.90000+ 1 4.24015- 5 2.38988- 3 1.90000+ 1 2.10000+ 1 2.39732- 4 2.42230- 3 1.90000+ 1 2.20000+ 1 2.93547- 5 2.42248- 3 1.90000+ 1 2.70000+ 1 3.26164- 6 2.42251- 3 2.10000+ 1 2.10000+ 1 3.21458- 5 2.45472- 3 2.10000+ 1 2.20000+ 1 1.38224- 4 2.45490- 3 2.20000+ 1 2.20000+ 1 6.42870- 6 2.45508- 3 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.61282- 3 1.91312- 3 1.00000+ 1 1.91061- 5 1.99388- 3 1.10000+ 1 1.80001- 5 2.00982- 3 1.30000+ 1 2.98892- 3 2.15428- 3 1.40000+ 1 2.65531- 2 2.15729- 3 1.60000+ 1 2.22041- 4 2.30565- 3 1.80000+ 1 5.44723- 7 2.32852- 3 1.90000+ 1 5.21303- 7 2.33074- 3 2.10000+ 1 7.31244- 5 2.36316- 3 2.20000+ 1 6.44983- 4 2.36334- 3 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.88696- 3 1.45714- 3 8.00000+ 0 1.00000+ 1 1.42084- 3 1.53790- 3 8.00000+ 0 1.10000+ 1 3.79749- 2 1.55384- 3 8.00000+ 0 1.30000+ 1 3.54261- 3 1.69830- 3 8.00000+ 0 1.40000+ 1 3.73459- 3 1.70131- 3 8.00000+ 0 1.60000+ 1 5.26164- 4 1.84967- 3 8.00000+ 0 1.80000+ 1 1.79961- 4 1.87254- 3 8.00000+ 0 1.90000+ 1 4.04477- 3 1.87476- 3 8.00000+ 0 2.10000+ 1 6.85549- 5 1.90718- 3 8.00000+ 0 2.20000+ 1 6.85549- 5 1.90736- 3 8.00000+ 0 2.70000+ 1 2.74224- 5 1.90739- 3 1.00000+ 1 1.00000+ 1 5.21036- 4 1.61866- 3 1.00000+ 1 1.10000+ 1 6.20493- 2 1.63460- 3 1.00000+ 1 1.30000+ 1 4.14431- 3 1.77906- 3 1.00000+ 1 1.40000+ 1 3.75864- 2 1.78207- 3 1.00000+ 1 1.60000+ 1 2.09097- 4 1.93043- 3 1.00000+ 1 1.80000+ 1 1.28550- 4 1.95330- 3 1.00000+ 1 1.90000+ 1 6.79886- 3 1.95552- 3 1.00000+ 1 2.10000+ 1 1.14832- 4 1.98794- 3 1.00000+ 1 2.20000+ 1 9.47847- 4 1.98812- 3 1.00000+ 1 2.70000+ 1 1.02841- 5 1.98815- 3 1.10000+ 1 1.10000+ 1 8.96176- 2 1.65054- 3 1.10000+ 1 1.30000+ 1 8.52530- 2 1.79500- 3 1.10000+ 1 1.40000+ 1 1.30534- 1 1.79801- 3 1.10000+ 1 1.60000+ 1 6.48696- 3 1.94637- 3 1.10000+ 1 1.80000+ 1 8.69281- 3 1.96924- 3 1.10000+ 1 1.90000+ 1 2.24718- 2 1.97146- 3 1.10000+ 1 2.10000+ 1 2.41829- 3 2.00388- 3 1.10000+ 1 2.20000+ 1 3.66094- 3 2.00406- 3 1.10000+ 1 2.70000+ 1 3.46207- 4 2.00409- 3 1.30000+ 1 1.30000+ 1 1.16616- 2 1.93946- 3 1.30000+ 1 1.40000+ 1 2.28029- 1 1.94247- 3 1.30000+ 1 1.60000+ 1 5.62159- 4 2.09083- 3 1.30000+ 1 1.80000+ 1 5.77585- 4 2.11370- 3 1.30000+ 1 1.90000+ 1 8.84890- 3 2.11592- 3 1.30000+ 1 2.10000+ 1 6.11847- 4 2.14834- 3 1.30000+ 1 2.20000+ 1 5.37131- 3 2.14852- 3 1.30000+ 1 2.70000+ 1 2.91363- 5 2.14855- 3 1.40000+ 1 1.40000+ 1 1.55151- 1 1.94548- 3 1.40000+ 1 1.60000+ 1 6.27281- 4 2.09384- 3 1.40000+ 1 1.80000+ 1 4.97887- 3 2.11671- 3 1.40000+ 1 1.90000+ 1 1.47584- 2 2.11893- 3 1.40000+ 1 2.10000+ 1 6.02952- 3 2.15135- 3 1.40000+ 1 2.20000+ 1 7.85307- 3 2.15153- 3 1.40000+ 1 2.70000+ 1 3.25635- 5 2.15156- 3 1.60000+ 1 1.60000+ 1 4.05851- 5 2.24220- 3 1.60000+ 1 1.80000+ 1 3.09217- 5 2.26507- 3 1.60000+ 1 1.90000+ 1 7.80766- 4 2.26729- 3 1.60000+ 1 2.10000+ 1 1.35281- 5 2.29971- 3 1.60000+ 1 2.20000+ 1 1.35281- 5 2.29989- 3 1.60000+ 1 2.70000+ 1 3.86510- 6 2.29992- 3 1.80000+ 1 1.80000+ 1 8.56958- 6 2.28794- 3 1.80000+ 1 1.90000+ 1 9.52962- 4 2.29016- 3 1.80000+ 1 2.10000+ 1 1.54260- 5 2.32258- 3 1.80000+ 1 2.20000+ 1 1.26834- 4 2.32276- 3 1.80000+ 1 2.70000+ 1 1.71401- 6 2.32279- 3 1.90000+ 1 1.90000+ 1 1.37802- 3 2.29238- 3 1.90000+ 1 2.10000+ 1 2.51952- 4 2.32480- 3 1.90000+ 1 2.20000+ 1 4.11337- 4 2.32498- 3 1.90000+ 1 2.70000+ 1 3.77064- 5 2.32501- 3 2.10000+ 1 2.10000+ 1 6.85570- 6 2.35722- 3 2.10000+ 1 2.20000+ 1 1.19975- 4 2.35740- 3 2.20000+ 1 2.20000+ 1 8.22664- 5 2.35758- 3 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.27585- 5 8.07600- 5 1.10000+ 1 4.42112- 5 9.67000- 5 1.80000+ 1 5.11166- 5 4.15400- 4 1.90000+ 1 7.84540- 5 4.17620- 4 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 6.11798- 2 1.73100- 5 1.00000+ 1 1.80000+ 1 5.64765- 2 4.01800- 5 1.00000+ 1 1.90000+ 1 1.17693- 1 4.24000- 5 1.00000+ 1 2.10000+ 1 1.14238- 2 7.48200- 5 1.00000+ 1 2.20000+ 1 1.41104- 2 7.50000- 5 1.00000+ 1 2.70000+ 1 2.37154- 3 7.50300- 5 1.10000+ 1 1.60000+ 1 1.06344- 1 3.32500- 5 1.10000+ 1 1.80000+ 1 1.09491- 1 5.61200- 5 1.10000+ 1 1.90000+ 1 1.79043- 1 5.83400- 5 1.10000+ 1 2.10000+ 1 1.27397- 2 9.07600- 5 1.10000+ 1 2.20000+ 1 1.98647- 2 9.09400- 5 1.10000+ 1 2.70000+ 1 3.98939- 3 9.09700- 5 1.30000+ 1 1.30000+ 1 9.58294- 3 2.63400- 5 1.30000+ 1 1.40000+ 1 5.98578- 3 2.93500- 5 1.30000+ 1 1.60000+ 1 4.11491- 2 1.77710- 4 1.30000+ 1 1.80000+ 1 6.81159- 3 2.00580- 4 1.30000+ 1 1.90000+ 1 5.24022- 3 2.02800- 4 1.30000+ 1 2.10000+ 1 1.26429- 3 2.35220- 4 1.30000+ 1 2.20000+ 1 1.29041- 3 2.35400- 4 1.30000+ 1 2.70000+ 1 1.25022- 3 2.35430- 4 1.40000+ 1 1.40000+ 1 1.45366- 2 3.23600- 5 1.40000+ 1 1.60000+ 1 6.08343- 2 1.80720- 4 1.40000+ 1 1.80000+ 1 2.23146- 3 2.03590- 4 1.40000+ 1 1.90000+ 1 1.39370- 2 2.05810- 4 1.40000+ 1 2.10000+ 1 1.36153- 3 2.38230- 4 1.40000+ 1 2.20000+ 1 2.41977- 3 2.38410- 4 1.40000+ 1 2.70000+ 1 1.84643- 3 2.38440- 4 1.60000+ 1 1.60000+ 1 1.89972- 2 3.29080- 4 1.60000+ 1 1.80000+ 1 2.66019- 2 3.51950- 4 1.60000+ 1 1.90000+ 1 5.03256- 2 3.54170- 4 1.60000+ 1 2.10000+ 1 9.51391- 3 3.86590- 4 1.60000+ 1 2.20000+ 1 1.38046- 2 3.86770- 4 1.60000+ 1 2.70000+ 1 1.31447- 3 3.86800- 4 1.80000+ 1 1.80000+ 1 1.48022- 3 3.74820- 4 1.80000+ 1 1.90000+ 1 3.69809- 3 3.77040- 4 1.80000+ 1 2.10000+ 1 4.56606- 4 4.09460- 4 1.80000+ 1 2.20000+ 1 1.35482- 4 4.09640- 4 1.80000+ 1 2.70000+ 1 7.02477- 4 4.09670- 4 1.90000+ 1 1.90000+ 1 4.91762- 3 3.79260- 4 1.90000+ 1 2.10000+ 1 3.46236- 4 4.11680- 4 1.90000+ 1 2.20000+ 1 1.04128- 3 4.11860- 4 1.90000+ 1 2.70000+ 1 1.37981- 3 4.11890- 4 2.10000+ 1 2.10000+ 1 1.34664- 5 4.44100- 4 2.10000+ 1 2.20000+ 1 3.36662- 5 4.44280- 4 2.10000+ 1 2.70000+ 1 2.22202- 4 4.44310- 4 2.20000+ 1 2.20000+ 1 3.19746- 5 4.44460- 4 2.20000+ 1 2.70000+ 1 3.28878- 4 4.44490- 4 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 3.60689- 4 1.60400- 4 1.60000+ 1 1.11770- 4 3.11770- 4 2.10000+ 1 4.14389- 5 3.69280- 4 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 7.67299- 3 1.00000- 5 1.10000+ 1 2.20000+ 1 1.67657- 2 1.01800- 5 1.10000+ 1 2.70000+ 1 3.12725- 3 1.02100- 5 1.30000+ 1 1.60000+ 1 1.64647- 1 9.69500- 5 1.30000+ 1 1.80000+ 1 1.70436- 1 1.19820- 4 1.30000+ 1 1.90000+ 1 2.63359- 1 1.22040- 4 1.30000+ 1 2.10000+ 1 1.05832- 2 1.54460- 4 1.30000+ 1 2.20000+ 1 7.79588- 3 1.54640- 4 1.30000+ 1 2.70000+ 1 6.51678- 3 1.54670- 4 1.40000+ 1 1.60000+ 1 2.69636- 2 9.99600- 5 1.40000+ 1 1.80000+ 1 2.39758- 1 1.22830- 4 1.40000+ 1 1.90000+ 1 2.52618- 2 1.25050- 4 1.40000+ 1 2.10000+ 1 3.00614- 3 1.57470- 4 1.40000+ 1 2.20000+ 1 1.61676- 3 1.57650- 4 1.40000+ 1 2.70000+ 1 8.32306- 4 1.57680- 4 1.60000+ 1 1.60000+ 1 6.22756- 4 2.48320- 4 1.60000+ 1 1.80000+ 1 1.02671- 2 2.71190- 4 1.60000+ 1 1.90000+ 1 1.56020- 3 2.73410- 4 1.60000+ 1 2.10000+ 1 1.43491- 4 3.05830- 4 1.60000+ 1 2.20000+ 1 2.36280- 4 3.06010- 4 1.60000+ 1 2.70000+ 1 4.11357- 5 3.06040- 4 1.80000+ 1 1.80000+ 1 6.46130- 3 2.94060- 4 1.80000+ 1 1.90000+ 1 2.08471- 2 2.96280- 4 1.80000+ 1 2.10000+ 1 3.39159- 3 3.28700- 4 1.80000+ 1 2.20000+ 1 5.69927- 3 3.28880- 4 1.80000+ 1 2.70000+ 1 4.15661- 4 3.28910- 4 1.90000+ 1 1.90000+ 1 5.38560- 4 2.98500- 4 1.90000+ 1 2.10000+ 1 4.93704- 4 3.30920- 4 1.90000+ 1 2.20000+ 1 2.78073- 4 3.31100- 4 1.90000+ 1 2.70000+ 1 4.97575- 5 3.31130- 4 2.10000+ 1 2.10000+ 1 1.75625- 5 3.63340- 4 2.10000+ 1 2.20000+ 1 5.85420- 5 3.63520- 4 2.10000+ 1 2.70000+ 1 5.85420- 6 3.63550- 4 2.20000+ 1 2.20000+ 1 8.78186- 6 3.63700- 4 2.20000+ 1 2.70000+ 1 6.83008- 6 3.63730- 4 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.84592- 5 1.44460- 4 1.40000+ 1 2.75920- 4 1.47470- 4 1.60000+ 1 1.29599- 4 2.95830- 4 2.10000+ 1 5.14451- 6 3.53340- 4 2.20000+ 1 4.24027- 5 3.53520- 4 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 3.27028- 2 8.10100- 5 1.30000+ 1 1.80000+ 1 2.28635- 2 1.03880- 4 1.30000+ 1 1.90000+ 1 1.73035- 1 1.06100- 4 1.30000+ 1 2.10000+ 1 2.54754- 3 1.38520- 4 1.30000+ 1 2.20000+ 1 2.07753- 3 1.38700- 4 1.30000+ 1 2.70000+ 1 1.14488- 3 1.38730- 4 1.40000+ 1 1.60000+ 1 1.58381- 1 8.40200- 5 1.40000+ 1 1.80000+ 1 1.51741- 1 1.06890- 4 1.40000+ 1 1.90000+ 1 3.54247- 1 1.09110- 4 1.40000+ 1 2.10000+ 1 6.09604- 3 1.41530- 4 1.40000+ 1 2.20000+ 1 1.49323- 2 1.41710- 4 1.40000+ 1 2.70000+ 1 6.18574- 3 1.41740- 4 1.60000+ 1 1.60000+ 1 7.11262- 4 2.32380- 4 1.60000+ 1 1.80000+ 1 1.09699- 3 2.55250- 4 1.60000+ 1 1.90000+ 1 1.72492- 2 2.57470- 4 1.60000+ 1 2.10000+ 1 2.52251- 4 2.89890- 4 1.60000+ 1 2.20000+ 1 3.29969- 4 2.90070- 4 1.60000+ 1 2.70000+ 1 4.83949- 5 2.90100- 4 1.80000+ 1 1.80000+ 1 2.05390- 4 2.78120- 4 1.80000+ 1 1.90000+ 1 1.71176- 2 2.80340- 4 1.80000+ 1 2.10000+ 1 1.41296- 4 3.12760- 4 1.80000+ 1 2.20000+ 1 5.79772- 4 3.12940- 4 1.80000+ 1 2.70000+ 1 3.49613- 5 3.12970- 4 1.90000+ 1 1.90000+ 1 2.23733- 2 2.82560- 4 1.90000+ 1 2.10000+ 1 5.38481- 3 3.14980- 4 1.90000+ 1 2.20000+ 1 7.36085- 3 3.15160- 4 1.90000+ 1 2.70000+ 1 5.85182- 4 3.15190- 4 2.10000+ 1 2.10000+ 1 4.51835- 6 3.47400- 4 2.10000+ 1 2.20000+ 1 4.51835- 5 3.47580- 4 2.10000+ 1 2.70000+ 1 4.51835- 6 3.47610- 4 2.20000+ 1 2.20000+ 1 3.34365- 5 3.47760- 4 2.20000+ 1 2.70000+ 1 6.32560- 6 3.47790- 4 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 8.36222- 5 1.74240- 4 1.90000+ 1 1.49810- 5 1.76460- 4 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 2.87220- 2 8.79200- 5 1.60000+ 1 1.80000+ 1 1.30364- 1 1.10790- 4 1.60000+ 1 1.90000+ 1 1.51400- 1 1.13010- 4 1.60000+ 1 2.10000+ 1 1.42809- 1 1.45430- 4 1.60000+ 1 2.20000+ 1 2.97254- 2 1.45610- 4 1.60000+ 1 2.70000+ 1 1.21146- 3 1.45640- 4 1.80000+ 1 1.80000+ 1 3.03802- 4 1.33660- 4 1.80000+ 1 1.90000+ 1 6.13377- 2 1.35880- 4 1.80000+ 1 2.10000+ 1 9.85850- 2 1.68300- 4 1.80000+ 1 2.20000+ 1 1.14229- 2 1.68480- 4 1.80000+ 1 2.70000+ 1 1.67096- 3 1.68510- 4 1.90000+ 1 1.90000+ 1 3.24743- 2 1.38100- 4 1.90000+ 1 2.10000+ 1 2.12307- 1 1.70520- 4 1.90000+ 1 2.20000+ 1 1.14655- 2 1.70700- 4 1.90000+ 1 2.70000+ 1 2.36389- 3 1.70730- 4 2.10000+ 1 2.10000+ 1 1.51281- 2 2.02940- 4 2.10000+ 1 2.20000+ 1 6.23174- 2 2.03120- 4 2.10000+ 1 2.70000+ 1 4.93466- 3 2.03150- 4 2.20000+ 1 2.20000+ 1 7.68251- 4 2.03300- 4 2.20000+ 1 2.70000+ 1 5.90952- 4 2.03330- 4 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 8.51742- 5 1.73450- 4 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 3.21148- 2 8.49100- 5 1.60000+ 1 1.80000+ 1 8.56969- 2 1.07780- 4 1.60000+ 1 1.90000+ 1 2.09551- 1 1.10000- 4 1.60000+ 1 2.10000+ 1 2.08101- 2 1.42420- 4 1.60000+ 1 2.20000+ 1 1.48016- 1 1.42600- 4 1.60000+ 1 2.70000+ 1 1.34172- 3 1.42630- 4 1.80000+ 1 1.80000+ 1 1.94121- 3 1.30650- 4 1.80000+ 1 1.90000+ 1 6.35733- 2 1.32870- 4 1.80000+ 1 2.10000+ 1 3.36857- 3 1.65290- 4 1.80000+ 1 2.20000+ 1 1.11529- 1 1.65470- 4 1.80000+ 1 2.70000+ 1 1.39876- 3 1.65500- 4 1.90000+ 1 1.90000+ 1 3.15444- 2 1.35090- 4 1.90000+ 1 2.10000+ 1 1.25609- 2 1.67510- 4 1.90000+ 1 2.20000+ 1 1.92685- 1 1.67690- 4 1.90000+ 1 2.70000+ 1 2.74034- 3 1.67720- 4 2.10000+ 1 2.10000+ 1 2.28376- 4 1.99930- 4 2.10000+ 1 2.20000+ 1 4.17631- 2 2.00110- 4 2.10000+ 1 2.70000+ 1 3.99647- 4 2.00140- 4 2.20000+ 1 2.20000+ 1 3.37134- 2 2.00290- 4 2.20000+ 1 2.70000+ 1 4.93863- 3 2.00320- 4 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.65491- 6 2.28700- 5 1.90000+ 1 4.43332- 6 2.50900- 5 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10000+ 1 7.43952- 2 1.69300- 5 1.80000+ 1 2.20000+ 1 2.29944- 1 1.71100- 5 1.80000+ 1 2.70000+ 1 1.44918- 2 1.71400- 5 1.90000+ 1 2.10000+ 1 3.15364- 1 1.91500- 5 1.90000+ 1 2.20000+ 1 3.22374- 1 1.93300- 5 1.90000+ 1 2.70000+ 1 2.52846- 2 1.93600- 5 2.10000+ 1 2.10000+ 1 1.30372- 4 5.15700- 5 2.10000+ 1 2.20000+ 1 9.80548- 3 5.17500- 5 2.10000+ 1 2.70000+ 1 1.94820- 3 5.17800- 5 2.20000+ 1 2.20000+ 1 2.54329- 3 5.19300- 5 2.20000+ 1 2.70000+ 1 3.71204- 3 5.19600- 5 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 8.89809- 7 3.46400- 5 2.70000+ 1 7.49439- 8 3.48500- 5 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 8.88093- 2 2.87000- 5 2.10000+ 1 2.20000+ 1 8.49022- 1 2.88800- 5 2.10000+ 1 2.70000+ 1 3.46175- 2 2.89100- 5 2.20000+ 1 2.20000+ 1 2.16262- 2 2.90600- 5 2.20000+ 1 2.70000+ 1 5.92381- 3 2.90900- 5 1 41000 0 7 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.24220- 8 3.24200- 5 2.20000+ 1 2.03980- 7 3.26000- 5 2.70000+ 1 1.94590- 8 3.26300- 5 1 41000 0 9 9.29064+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 1.31504- 2 2.64800- 5 2.10000+ 1 2.20000+ 1 6.14870- 1 2.66600- 5 2.10000+ 1 2.70000+ 1 8.97994- 3 2.66900- 5 2.20000+ 1 2.20000+ 1 3.21461- 1 2.68400- 5 2.20000+ 1 2.70000+ 1 4.15393- 2 2.68700- 5 1 42000 0 0 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 2.00000+ 0 2.20000+ 1 3.00000+ 0 2.70000+ 1 1.00000+ 0 1 42000 0 0 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.99650- 2 3.00000+ 0 2.84650- 3 5.00000+ 0 2.62950- 3 6.00000+ 0 2.52100- 3 8.00000+ 0 4.94090- 4 1.00000+ 1 4.09640- 4 1.10000+ 1 3.91630- 4 1.30000+ 1 2.40450- 4 1.40000+ 1 2.37000- 4 1.60000+ 1 6.96300- 5 1.80000+ 1 4.50700- 5 1.90000+ 1 4.24600- 5 2.10000+ 1 7.00000- 6 2.20000+ 1 6.77000- 6 2.70000+ 1 5.97000- 6 1 42000 0 0 9.59400+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.52700- 2 3.00000+ 0 5.26140- 3 5.00000+ 0 5.26300- 3 6.00000+ 0 4.86740- 3 8.00000+ 0 1.39860- 3 1.00000+ 1 1.34090- 3 1.10000+ 1 1.25790- 3 1.30000+ 1 1.14250- 3 1.40000+ 1 1.12260- 3 1.60000+ 1 3.18360- 4 1.80000+ 1 2.67890- 4 1.90000+ 1 2.51260- 4 2.10000+ 1 1.27140- 4 2.20000+ 1 1.23910- 4 2.70000+ 1 3.04500- 5 1 42000 0 0 9.59400+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.85700-10 3.00000+ 0 8.07840-10 5.00000+ 0 6.87360-10 6.00000+ 0 7.11300-10 8.00000+ 0 2.24740- 9 1.00000+ 1 2.21270- 9 1.10000+ 1 2.26710- 9 1.30000+ 1 2.14510- 9 1.40000+ 1 2.16290- 9 1.60000+ 1 5.75760- 9 1.80000+ 1 6.28280- 9 1.90000+ 1 6.44110- 9 2.10000+ 1 9.57670- 9 2.20000+ 1 9.70800- 9 2.70000+ 1 1.93500- 8 1 42000 0 0 9.59400+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.32670- 6 3.00000+ 0 4.12010- 8 5.00000+ 0 6.38270- 8 6.00000+ 0 6.15950- 8 8.00000+ 0 5.81840-10 1.00000+ 1 5.47160-10 1.10000+ 1 4.86080-10 1.30000+ 1 4.16450-11 1.40000+ 1 3.81700-11 1.60000+ 1 1.63070-11 1.80000+ 1 1.99040-11 1.90000+ 1 1.74710-11 1 42000 0 0 9.59400+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.04360- 6 3.00000+ 0 6.08570- 6 5.00000+ 0 1.72560- 6 6.00000+ 0 1.60960- 6 8.00000+ 0 8.49650- 6 1.00000+ 1 2.93240- 6 1.10000+ 1 3.08400- 6 1.30000+ 1 1.11980- 7 1.40000+ 1 1.15710- 7 1.60000+ 1 1.08320- 5 1.80000+ 1 1.96900- 6 1.90000+ 1 2.06490- 6 1 42000 0 0 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.87836- 5 3.00000+ 0 7.71055- 5 5.00000+ 0 5.88964- 5 6.00000+ 0 5.68495- 5 8.00000+ 0 4.84041- 5 1.00000+ 1 3.88332- 5 1.10000+ 1 3.82795- 5 1.30000+ 1 2.44812- 5 1.40000+ 1 2.45910- 5 1.60000+ 1 2.03840- 5 1.80000+ 1 1.37695- 5 1.90000+ 1 1.36648- 5 2.10000+ 1 7.00000- 6 2.20000+ 1 6.77000- 6 2.70000+ 1 5.97000- 6 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.05249- 1 3.00000+ 0 3.92921- 2 5.00000+ 0 4.26472- 2 6.00000+ 0 3.89618- 2 8.00000+ 0 7.30877- 4 1.00000+ 1 7.46158- 4 1.10000+ 1 6.84553- 4 1.30000+ 1 1.45165- 4 1.40000+ 1 1.26872- 4 1.60000+ 1 9.08181- 6 1.80000+ 1 1.93855- 6 1.90000+ 1 5.00139- 7 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.36470- 2 3.00000+ 0 8.88315- 5 5.00000+ 0 9.92617- 5 6.00000+ 0 8.67054- 5 8.00000+ 0 1.89939- 7 1.00000+ 1 1.69567- 7 1.10000+ 1 1.54936- 7 1.30000+ 1 2.76588- 8 1.40000+ 1 2.39104- 8 1.60000+ 1 2.50588-10 1.80000+ 1 7.39126-11 1.90000+ 1 1.78614-11 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.04410+ 0 3.00000+ 0 1.02612+ 1 5.00000+ 0 7.59397+ 0 6.00000+ 0 7.30442+ 0 8.00000+ 0 6.06951+ 0 1.00000+ 1 4.66342+ 0 1.10000+ 1 4.59403+ 0 1.30000+ 1 2.56286+ 0 1.40000+ 1 2.59815+ 0 1.60000+ 1 1.97834+ 0 1.80000+ 1 9.99998- 1 1.90000+ 1 9.99999- 1 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.24920- 3 3.00000+ 0 2.68056- 3 5.00000+ 0 2.47134- 3 6.00000+ 0 2.37745- 3 8.00000+ 0 4.45496- 4 1.00000+ 1 3.70637- 4 1.10000+ 1 3.53196- 4 1.30000+ 1 2.15941- 4 1.40000+ 1 2.12385- 4 1.60000+ 1 4.92457- 5 1.80000+ 1 3.13004- 5 1.90000+ 1 2.87951- 5 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.21309- 1 1.73355- 2 6.00000+ 0 4.21718- 1 1.74440- 2 1.00000+ 1 3.43589- 2 1.95554- 2 1.10000+ 1 6.68877- 2 1.95734- 2 1.30000+ 1 1.66919- 4 1.97245- 2 1.40000+ 1 2.36039- 4 1.97280- 2 1.80000+ 1 6.34137- 3 1.99199- 2 1.90000+ 1 1.22259- 2 1.99225- 2 2.10000+ 1 6.70827- 6 1.99580- 2 2.20000+ 1 9.38546- 6 1.99582- 2 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 1.68986- 2 1.42720- 2 3.00000+ 0 5.00000+ 0 1.91303- 2 1.44890- 2 3.00000+ 0 6.00000+ 0 2.89512- 2 1.45975- 2 3.00000+ 0 8.00000+ 0 5.45088- 3 1.66244- 2 3.00000+ 0 1.00000+ 1 3.21842- 3 1.67089- 2 3.00000+ 0 1.10000+ 1 4.85455- 3 1.67269- 2 3.00000+ 0 1.30000+ 1 2.65431- 4 1.68780- 2 3.00000+ 0 1.40000+ 1 3.25897- 4 1.68815- 2 3.00000+ 0 1.60000+ 1 9.48087- 4 1.70489- 2 3.00000+ 0 1.80000+ 1 4.90095- 4 1.70734- 2 3.00000+ 0 1.90000+ 1 7.33913- 4 1.70760- 2 3.00000+ 0 2.10000+ 1 1.17274- 5 1.71115- 2 3.00000+ 0 2.20000+ 1 1.41970- 5 1.71117- 2 3.00000+ 0 2.70000+ 1 4.93812- 5 1.71125- 2 5.00000+ 0 5.00000+ 0 2.95095- 3 1.47060- 2 5.00000+ 0 6.00000+ 0 6.59412- 2 1.48145- 2 5.00000+ 0 8.00000+ 0 2.56222- 3 1.68414- 2 5.00000+ 0 1.00000+ 1 9.06126- 4 1.69259- 2 5.00000+ 0 1.10000+ 1 9.32469- 3 1.69439- 2 5.00000+ 0 1.30000+ 1 3.44428- 4 1.70950- 2 5.00000+ 0 1.40000+ 1 1.21905- 3 1.70985- 2 5.00000+ 0 1.60000+ 1 4.31455- 4 1.72659- 2 5.00000+ 0 1.80000+ 1 1.36419- 4 1.72904- 2 5.00000+ 0 1.90000+ 1 1.37401- 3 1.72930- 2 5.00000+ 0 2.10000+ 1 1.48138- 5 1.73285- 2 5.00000+ 0 2.20000+ 1 5.30846- 5 1.73287- 2 5.00000+ 0 2.70000+ 1 2.22206- 5 1.73295- 2 6.00000+ 0 6.00000+ 0 3.48003- 2 1.49230- 2 6.00000+ 0 8.00000+ 0 3.87085- 3 1.69499- 2 6.00000+ 0 1.00000+ 1 9.23534- 3 1.70344- 2 6.00000+ 0 1.10000+ 1 1.00617- 2 1.70524- 2 6.00000+ 0 1.30000+ 1 1.48384- 3 1.72035- 2 6.00000+ 0 1.40000+ 1 1.41037- 3 1.72070- 2 6.00000+ 0 1.60000+ 1 6.51830- 4 1.73744- 2 6.00000+ 0 1.80000+ 1 1.36844- 3 1.73989- 2 6.00000+ 0 1.90000+ 1 1.48879- 3 1.74015- 2 6.00000+ 0 2.10000+ 1 6.48092- 5 1.74370- 2 6.00000+ 0 2.20000+ 1 6.11092- 5 1.74372- 2 6.00000+ 0 2.70000+ 1 3.33331- 5 1.74380- 2 8.00000+ 0 8.00000+ 0 4.33314- 4 1.89768- 2 8.00000+ 0 1.00000+ 1 4.34543- 4 1.90613- 2 8.00000+ 0 1.10000+ 1 6.53053- 4 1.90793- 2 8.00000+ 0 1.30000+ 1 3.33339- 5 1.92305- 2 8.00000+ 0 1.40000+ 1 4.01212- 5 1.92339- 2 8.00000+ 0 1.60000+ 1 1.50608- 4 1.94013- 2 8.00000+ 0 1.80000+ 1 6.60460- 5 1.94258- 2 8.00000+ 0 1.90000+ 1 9.87621- 5 1.94284- 2 8.00000+ 0 2.10000+ 1 1.23453- 6 1.94639- 2 8.00000+ 0 2.20000+ 1 1.85179- 6 1.94641- 2 8.00000+ 0 2.70000+ 1 8.02442- 6 1.94649- 2 1.00000+ 1 1.00000+ 1 6.66619- 5 1.91457- 2 1.00000+ 1 1.10000+ 1 1.32271- 3 1.91637- 2 1.00000+ 1 1.30000+ 1 3.76519- 5 1.93149- 2 1.00000+ 1 1.40000+ 1 1.35791- 4 1.93184- 2 1.00000+ 1 1.60000+ 1 7.34510- 5 1.94857- 2 1.00000+ 1 1.80000+ 1 1.97514- 5 1.95103- 2 1.00000+ 1 1.90000+ 1 1.95045- 4 1.95129- 2 1.00000+ 1 2.10000+ 1 1.85172- 6 1.95484- 2 1.00000+ 1 2.20000+ 1 6.17228- 6 1.95486- 2 1.00000+ 1 2.70000+ 1 3.70323- 6 1.95494- 2 1.10000+ 1 1.10000+ 1 7.28964- 4 1.91817- 2 1.10000+ 1 1.30000+ 1 1.70979- 4 1.93329- 2 1.10000+ 1 1.40000+ 1 1.58636- 4 1.93364- 2 1.10000+ 1 1.60000+ 1 1.09868- 4 1.95037- 2 1.10000+ 1 1.80000+ 1 1.96280- 4 1.95283- 2 1.10000+ 1 1.90000+ 1 2.15414- 4 1.95309- 2 1.10000+ 1 2.10000+ 1 7.40703- 6 1.95664- 2 1.10000+ 1 2.20000+ 1 6.78987- 6 1.95666- 2 1.10000+ 1 2.70000+ 1 5.55528- 6 1.95674- 2 1.30000+ 1 1.40000+ 1 1.78998- 5 1.94875- 2 1.30000+ 1 1.60000+ 1 5.55524- 6 1.96549- 2 1.30000+ 1 1.80000+ 1 5.55524- 6 1.96795- 2 1.30000+ 1 1.90000+ 1 2.40713- 5 1.96821- 2 1.30000+ 1 2.20000+ 1 6.17238- 7 1.97178- 2 1.40000+ 1 1.40000+ 1 4.43629- 6 1.94910- 2 1.40000+ 1 1.60000+ 1 6.97157- 6 1.96584- 2 1.40000+ 1 1.80000+ 1 1.96463- 5 1.96829- 2 1.40000+ 1 1.90000+ 1 2.34493- 5 1.96855- 2 1.40000+ 1 2.10000+ 1 6.33760- 7 1.97210- 2 1.40000+ 1 2.20000+ 1 6.33760- 7 1.97212- 2 1.40000+ 1 2.70000+ 1 6.33760- 7 1.97220- 2 1.60000+ 1 1.60000+ 1 1.32246- 5 1.98257- 2 1.60000+ 1 1.80000+ 1 1.13361- 5 1.98503- 2 1.60000+ 1 1.90000+ 1 1.70036- 5 1.98529- 2 1.60000+ 1 2.70000+ 1 1.25955- 6 1.98894- 2 1.80000+ 1 1.80000+ 1 1.20817- 6 1.98749- 2 1.80000+ 1 1.90000+ 1 2.83906- 5 1.98775- 2 1.80000+ 1 2.20000+ 1 6.04070- 7 1.99132- 2 1.80000+ 1 2.70000+ 1 6.04070- 7 1.99140- 2 1.90000+ 1 1.90000+ 1 1.54390- 5 1.98801- 2 1.90000+ 1 2.10000+ 1 1.18759- 6 1.99155- 2 1.90000+ 1 2.20000+ 1 1.18759- 6 1.99158- 2 1.90000+ 1 2.70000+ 1 5.93780- 7 1.99166- 2 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.46510- 5 2.17000- 4 6.00000+ 0 9.43281- 5 3.25500- 4 1.00000+ 1 2.06580- 3 2.43686- 3 1.10000+ 1 3.55290- 3 2.45487- 3 1.30000+ 1 1.77590- 5 2.60605- 3 1.40000+ 1 2.64600- 5 2.60950- 3 1.80000+ 1 3.21860- 4 2.80143- 3 1.90000+ 1 5.58410- 4 2.80404- 3 2.10000+ 1 5.41000- 7 2.83950- 3 2.20000+ 1 8.04221- 7 2.83973- 3 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 2.21850- 2 1.47370- 4 5.00000+ 0 1.80000+ 1 1.44546- 2 1.71930- 4 5.00000+ 0 1.90000+ 1 1.97679- 2 1.74540- 4 5.00000+ 0 2.10000+ 1 1.91069- 3 2.10000- 4 5.00000+ 0 2.20000+ 1 3.22715- 3 2.10230- 4 5.00000+ 0 2.70000+ 1 1.11875- 3 2.11030- 4 6.00000+ 0 1.30000+ 1 2.74324- 1 8.50500- 5 6.00000+ 0 1.40000+ 1 3.91700- 1 8.85000- 5 6.00000+ 0 1.60000+ 1 3.42468- 2 2.55870- 4 6.00000+ 0 1.80000+ 1 1.46577- 2 2.80430- 4 6.00000+ 0 1.90000+ 1 2.97016- 2 2.83040- 4 6.00000+ 0 2.10000+ 1 7.24798- 3 3.18500- 4 6.00000+ 0 2.20000+ 1 9.63521- 3 3.18730- 4 6.00000+ 0 2.70000+ 1 1.71710- 3 3.19530- 4 8.00000+ 0 8.00000+ 0 5.96311- 3 1.85832- 3 8.00000+ 0 1.00000+ 1 1.16176- 2 1.94277- 3 8.00000+ 0 1.10000+ 1 2.21331- 2 1.96078- 3 8.00000+ 0 1.30000+ 1 1.70780- 2 2.11196- 3 8.00000+ 0 1.40000+ 1 2.46913- 2 2.11541- 3 8.00000+ 0 1.60000+ 1 1.80049- 3 2.28278- 3 8.00000+ 0 1.80000+ 1 1.74189- 3 2.30734- 3 8.00000+ 0 1.90000+ 1 3.29417- 3 2.30995- 3 8.00000+ 0 2.10000+ 1 6.76875- 4 2.34541- 3 8.00000+ 0 2.20000+ 1 9.69560- 4 2.34564- 3 8.00000+ 0 2.70000+ 1 9.10497- 5 2.34644- 3 1.00000+ 1 1.00000+ 1 9.72663- 5 2.02722- 3 1.00000+ 1 1.10000+ 1 5.02318- 4 2.04523- 3 1.00000+ 1 1.30000+ 1 3.65981- 4 2.19641- 3 1.00000+ 1 1.40000+ 1 5.85522- 3 2.19986- 3 1.00000+ 1 1.60000+ 1 1.45418- 3 2.36723- 3 1.00000+ 1 1.80000+ 1 1.86530- 5 2.39179- 3 1.00000+ 1 1.90000+ 1 7.19511- 5 2.39440- 3 1.00000+ 1 2.10000+ 1 1.42128- 5 2.42986- 3 1.00000+ 1 2.20000+ 1 1.69220- 4 2.43009- 3 1.00000+ 1 2.70000+ 1 7.15070- 5 2.43089- 3 1.10000+ 1 1.10000+ 1 5.32099- 4 2.06324- 3 1.10000+ 1 1.30000+ 1 5.06747- 3 2.21442- 3 1.10000+ 1 1.40000+ 1 3.54703- 3 2.21787- 3 1.10000+ 1 1.60000+ 1 2.77155- 3 2.38524- 3 1.10000+ 1 1.80000+ 1 7.19537- 5 2.40980- 3 1.10000+ 1 1.90000+ 1 1.27913- 4 2.41241- 3 1.10000+ 1 2.10000+ 1 1.39023- 4 2.44787- 3 1.10000+ 1 2.20000+ 1 9.86041- 5 2.44810- 3 1.10000+ 1 2.70000+ 1 1.36363- 4 2.44890- 3 1.30000+ 1 1.30000+ 1 8.47875- 4 2.36560- 3 1.30000+ 1 1.40000+ 1 3.43383- 2 2.36905- 3 1.30000+ 1 1.60000+ 1 2.04793- 3 2.53642- 3 1.30000+ 1 1.80000+ 1 7.23957- 5 2.56098- 3 1.30000+ 1 1.90000+ 1 7.43949- 4 2.56359- 3 1.30000+ 1 2.10000+ 1 6.70654- 5 2.59905- 3 1.30000+ 1 2.20000+ 1 1.08018- 3 2.59928- 3 1.30000+ 1 2.70000+ 1 1.00377- 4 2.60008- 3 1.40000+ 1 1.40000+ 1 9.63668- 3 2.37250- 3 1.40000+ 1 1.60000+ 1 2.96911- 3 2.53987- 3 1.40000+ 1 1.80000+ 1 8.20348- 4 2.56443- 3 1.40000+ 1 1.90000+ 1 5.42748- 4 2.56704- 3 1.40000+ 1 2.10000+ 1 1.08198- 3 2.60250- 3 1.40000+ 1 2.20000+ 1 6.24913- 4 2.60273- 3 1.40000+ 1 2.70000+ 1 1.45240- 4 2.60353- 3 1.60000+ 1 1.60000+ 1 1.30578- 4 2.70724- 3 1.60000+ 1 1.80000+ 1 2.18521- 4 2.73180- 3 1.60000+ 1 1.90000+ 1 4.13062- 4 2.73441- 3 1.60000+ 1 2.10000+ 1 8.12784- 5 2.76987- 3 1.60000+ 1 2.20000+ 1 1.16366- 4 2.77010- 3 1.60000+ 1 2.70000+ 1 1.33248- 5 2.77090- 3 1.80000+ 1 1.80000+ 1 1.10414- 6 2.75636- 3 1.80000+ 1 1.90000+ 1 1.26980- 5 2.75897- 3 1.80000+ 1 2.10000+ 1 3.31241- 6 2.79443- 3 1.80000+ 1 2.20000+ 1 3.03646- 5 2.79466- 3 1.80000+ 1 2.70000+ 1 1.32499- 5 2.79546- 3 1.90000+ 1 1.90000+ 1 9.52715- 6 2.76158- 3 1.90000+ 1 2.10000+ 1 2.48771- 5 2.79704- 3 1.90000+ 1 2.20000+ 1 1.85249- 5 2.79727- 3 1.90000+ 1 2.70000+ 1 2.43479- 5 2.79807- 3 2.10000+ 1 2.10000+ 1 1.33249- 6 2.83250- 3 2.10000+ 1 2.20000+ 1 3.15351- 5 2.83273- 3 2.10000+ 1 2.70000+ 1 3.99746- 6 2.83353- 3 2.20000+ 1 2.20000+ 1 9.32709- 6 2.83296- 3 2.20000+ 1 2.70000+ 1 5.77392- 6 2.83376- 3 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 5.40141- 9 1.08500- 4 8.00000+ 0 3.12821- 3 2.13541- 3 1.10000+ 1 3.06781- 5 2.23787- 3 1.30000+ 1 3.23221- 2 2.38905- 3 1.60000+ 1 2.47530- 4 2.55987- 3 1.90000+ 1 1.27480- 6 2.58704- 3 2.10000+ 1 1.11150- 3 2.62250- 3 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.76902- 2 3.88700- 5 6.00000+ 0 1.80000+ 1 5.77051- 2 6.34300- 5 6.00000+ 0 1.90000+ 1 2.18574- 2 6.60400- 5 6.00000+ 0 2.10000+ 1 2.57433- 2 1.01500- 4 6.00000+ 0 2.20000+ 1 1.01173- 2 1.01730- 4 6.00000+ 0 2.70000+ 1 8.16958- 4 1.02530- 4 8.00000+ 0 8.00000+ 0 1.51549- 3 1.64132- 3 8.00000+ 0 1.00000+ 1 3.24837- 2 1.72577- 3 8.00000+ 0 1.10000+ 1 3.05064- 3 1.74378- 3 8.00000+ 0 1.30000+ 1 1.84952- 3 1.89496- 3 8.00000+ 0 1.40000+ 1 4.66779- 3 1.89841- 3 8.00000+ 0 1.60000+ 1 4.32766- 4 2.06578- 3 8.00000+ 0 1.80000+ 1 3.55324- 3 2.09034- 3 8.00000+ 0 1.90000+ 1 4.08470- 4 2.09295- 3 8.00000+ 0 2.10000+ 1 5.46657- 5 2.12841- 3 8.00000+ 0 2.20000+ 1 1.27562- 4 2.12864- 3 8.00000+ 0 2.70000+ 1 2.12592- 5 2.12944- 3 1.00000+ 1 1.00000+ 1 3.08830- 2 1.81022- 3 1.00000+ 1 1.10000+ 1 1.01539- 1 1.82823- 3 1.00000+ 1 1.30000+ 1 5.25228- 2 1.97941- 3 1.00000+ 1 1.40000+ 1 9.42097- 2 1.98286- 3 1.00000+ 1 1.60000+ 1 5.75189- 3 2.15023- 3 1.00000+ 1 1.80000+ 1 8.11790- 3 2.17479- 3 1.00000+ 1 1.90000+ 1 1.48633- 2 2.17740- 3 1.00000+ 1 2.10000+ 1 2.07271- 3 2.21286- 3 1.00000+ 1 2.20000+ 1 3.69296- 3 2.21309- 3 1.00000+ 1 2.70000+ 1 2.97626- 4 2.21389- 3 1.10000+ 1 1.10000+ 1 2.74540- 3 1.84624- 3 1.10000+ 1 1.30000+ 1 6.49692- 2 1.99742- 3 1.10000+ 1 1.40000+ 1 8.86803- 3 2.00087- 3 1.10000+ 1 1.60000+ 1 4.70730- 4 2.16824- 3 1.10000+ 1 1.80000+ 1 1.14901- 2 2.19280- 3 1.10000+ 1 1.90000+ 1 6.89417- 4 2.19541- 3 1.10000+ 1 2.10000+ 1 2.30051- 3 2.23087- 3 1.10000+ 1 2.20000+ 1 2.91557- 4 2.23110- 3 1.10000+ 1 2.70000+ 1 2.42954- 5 2.23190- 3 1.30000+ 1 1.30000+ 1 5.73832- 2 2.14860- 3 1.30000+ 1 1.40000+ 1 2.52304- 1 2.15205- 3 1.30000+ 1 1.60000+ 1 3.38623- 4 2.31942- 3 1.30000+ 1 1.80000+ 1 5.94034- 3 2.34398- 3 1.30000+ 1 1.90000+ 1 9.08649- 3 2.34659- 3 1.30000+ 1 2.10000+ 1 4.03911- 3 2.38205- 3 1.30000+ 1 2.20000+ 1 9.29021- 3 2.38228- 3 1.30000+ 1 2.70000+ 1 1.82213- 5 2.38308- 3 1.40000+ 1 1.40000+ 1 1.19743- 2 2.15550- 3 1.40000+ 1 1.60000+ 1 7.22785- 4 2.32287- 3 1.40000+ 1 1.80000+ 1 9.72526- 3 2.34743- 3 1.40000+ 1 1.90000+ 1 1.14491- 3 2.35004- 3 1.40000+ 1 2.10000+ 1 7.92487- 3 2.38550- 3 1.40000+ 1 2.20000+ 1 8.18492- 4 2.38573- 3 1.40000+ 1 2.70000+ 1 3.64433- 5 2.38653- 3 1.60000+ 1 1.60000+ 1 3.68029- 5 2.49024- 3 1.60000+ 1 1.80000+ 1 7.65523- 4 2.51480- 3 1.60000+ 1 1.90000+ 1 7.72831- 5 2.51741- 3 1.60000+ 1 2.10000+ 1 1.28807- 5 2.55287- 3 1.60000+ 1 2.20000+ 1 2.39221- 5 2.55310- 3 1.60000+ 1 2.70000+ 1 3.68029- 6 2.55390- 3 1.80000+ 1 1.80000+ 1 5.17793- 4 2.53936- 3 1.80000+ 1 1.90000+ 1 1.68244- 3 2.54197- 3 1.80000+ 1 2.10000+ 1 2.32323- 4 2.57743- 3 1.80000+ 1 2.20000+ 1 3.82663- 4 2.57766- 3 1.80000+ 1 2.70000+ 1 3.18873- 5 2.57846- 3 1.90000+ 1 1.90000+ 1 4.40372- 5 2.54458- 3 1.90000+ 1 2.10000+ 1 3.23444- 4 2.58004- 3 1.90000+ 1 2.20000+ 1 3.79625- 5 2.58027- 3 1.90000+ 1 2.70000+ 1 3.03701- 6 2.58107- 3 2.10000+ 1 2.10000+ 1 6.22559- 5 2.61550- 3 2.10000+ 1 2.20000+ 1 2.64215- 4 2.61573- 3 2.20000+ 1 2.20000+ 1 1.21484- 5 2.61596- 3 2.20000+ 1 2.70000+ 1 1.51863- 6 2.61676- 3 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 4.80691- 3 2.02691- 3 1.00000+ 1 2.04171- 5 2.11136- 3 1.10000+ 1 1.93151- 5 2.12937- 3 1.30000+ 1 3.25261- 3 2.28055- 3 1.40000+ 1 2.88901- 2 2.28400- 3 1.60000+ 1 2.43921- 4 2.45137- 3 1.80000+ 1 6.49682- 7 2.47593- 3 1.90000+ 1 6.21102- 7 2.47854- 3 2.10000+ 1 1.10700- 4 2.51400- 3 2.20000+ 1 9.76493- 4 2.51423- 3 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.82547- 3 1.53282- 3 8.00000+ 0 1.00000+ 1 1.37352- 3 1.61727- 3 8.00000+ 0 1.10000+ 1 3.69039- 2 1.63528- 3 8.00000+ 0 1.30000+ 1 3.47225- 3 1.78646- 3 8.00000+ 0 1.40000+ 1 3.64786- 3 1.78991- 3 8.00000+ 0 1.60000+ 1 5.21805- 4 1.95728- 3 8.00000+ 0 1.80000+ 1 1.78814- 4 1.98184- 3 8.00000+ 0 1.90000+ 1 4.04769- 3 1.98445- 3 8.00000+ 0 2.10000+ 1 8.94067- 5 2.01991- 3 8.00000+ 0 2.20000+ 1 8.94067- 5 2.02014- 3 8.00000+ 0 2.70000+ 1 2.60089- 5 2.02094- 3 1.00000+ 1 1.00000+ 1 5.00703- 4 1.70172- 3 1.00000+ 1 1.10000+ 1 6.04716- 2 1.71973- 3 1.00000+ 1 1.30000+ 1 4.07553- 3 1.87091- 3 1.00000+ 1 1.40000+ 1 3.68806- 2 1.87436- 3 1.00000+ 1 1.60000+ 1 2.08084- 4 2.04173- 3 1.00000+ 1 1.80000+ 1 1.28422- 4 2.06629- 3 1.00000+ 1 1.90000+ 1 6.82620- 3 2.06890- 3 1.00000+ 1 2.10000+ 1 1.54431- 4 2.10436- 3 1.00000+ 1 2.20000+ 1 1.25338- 3 2.10459- 3 1.00000+ 1 2.70000+ 1 1.13797- 5 2.10539- 3 1.10000+ 1 1.10000+ 1 8.71832- 2 1.73774- 3 1.10000+ 1 1.30000+ 1 8.37669- 2 1.88892- 3 1.10000+ 1 1.40000+ 1 1.28256- 1 1.89237- 3 1.10000+ 1 1.60000+ 1 6.48945- 3 2.05974- 3 1.10000+ 1 1.80000+ 1 8.78581- 3 2.08430- 3 1.10000+ 1 1.90000+ 1 2.26032- 2 2.08691- 3 1.10000+ 1 2.10000+ 1 3.22511- 3 2.12237- 3 1.10000+ 1 2.20000+ 1 4.87665- 3 2.12260- 3 1.10000+ 1 2.70000+ 1 3.34860- 4 2.12340- 3 1.30000+ 1 1.30000+ 1 1.15759- 2 2.04010- 3 1.30000+ 1 1.40000+ 1 2.25887- 1 2.04355- 3 1.30000+ 1 1.60000+ 1 5.67325- 4 2.21092- 3 1.30000+ 1 1.80000+ 1 5.88461- 4 2.23548- 3 1.30000+ 1 1.90000+ 1 8.94734- 3 2.23809- 3 1.30000+ 1 2.10000+ 1 8.20896- 4 2.27355- 3 1.30000+ 1 2.20000+ 1 7.15401- 3 2.27378- 3 1.30000+ 1 2.70000+ 1 2.92597- 5 2.27458- 3 1.40000+ 1 1.40000+ 1 1.53710- 1 2.04700- 3 1.40000+ 1 1.60000+ 1 6.32331- 4 2.21437- 3 1.40000+ 1 1.80000+ 1 5.05864- 3 2.23893- 3 1.40000+ 1 1.90000+ 1 1.49617- 2 2.24154- 3 1.40000+ 1 2.10000+ 1 8.07723- 3 2.27700- 3 1.40000+ 1 2.20000+ 1 1.04982- 2 2.27723- 3 1.40000+ 1 2.70000+ 1 3.25100- 5 2.27803- 3 1.60000+ 1 1.60000+ 1 4.35809- 5 2.38174- 3 1.60000+ 1 1.80000+ 1 3.22117- 5 2.40630- 3 1.60000+ 1 1.90000+ 1 8.29900- 4 2.40891- 3 1.60000+ 1 2.10000+ 1 1.70525- 5 2.44437- 3 1.60000+ 1 2.20000+ 1 1.89481- 5 2.44460- 3 1.60000+ 1 2.70000+ 1 3.78952- 6 2.44540- 3 1.80000+ 1 1.80000+ 1 8.12746- 6 2.43086- 3 1.80000+ 1 1.90000+ 1 9.91627- 4 2.43347- 3 1.80000+ 1 2.10000+ 1 2.27578- 5 2.46893- 3 1.80000+ 1 2.20000+ 1 1.75566- 4 2.46916- 3 1.80000+ 1 2.70000+ 1 1.62557- 6 2.46996- 3 1.90000+ 1 1.90000+ 1 1.43211- 3 2.43608- 3 1.90000+ 1 2.10000+ 1 3.44616- 4 2.47154- 3 1.90000+ 1 2.20000+ 1 5.65688- 4 2.47177- 3 1.90000+ 1 2.70000+ 1 3.73887- 5 2.47257- 3 2.10000+ 1 2.10000+ 1 1.30044- 5 2.50700- 3 2.10000+ 1 2.20000+ 1 2.30826- 4 2.50723- 3 2.20000+ 1 2.20000+ 1 1.59295- 4 2.50746- 3 2.20000+ 1 2.70000+ 1 1.62559- 6 2.50826- 3 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.27743- 5 8.44500- 5 1.10000+ 1 4.65177- 5 1.02460- 4 1.80000+ 1 5.95832- 5 4.49020- 4 1.90000+ 1 9.07301- 5 4.51630- 4 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 5.79964- 2 1.48200- 5 1.00000+ 1 1.80000+ 1 5.54640- 2 3.93800- 5 1.00000+ 1 1.90000+ 1 1.13885- 1 4.19900- 5 1.00000+ 1 2.10000+ 1 1.62743- 2 7.74500- 5 1.00000+ 1 2.20000+ 1 2.04641- 2 7.76800- 5 1.00000+ 1 2.70000+ 1 2.21145- 3 7.84800- 5 1.10000+ 1 1.60000+ 1 1.00458- 1 3.28300- 5 1.10000+ 1 1.80000+ 1 1.05310- 1 5.73900- 5 1.10000+ 1 1.90000+ 1 1.71755- 1 6.00000- 5 1.10000+ 1 2.10000+ 1 1.78783- 2 9.54600- 5 1.10000+ 1 2.20000+ 1 2.75581- 2 9.56900- 5 1.10000+ 1 2.70000+ 1 3.67254- 3 9.64900- 5 1.30000+ 1 1.30000+ 1 9.65075- 3 1.31900- 5 1.30000+ 1 1.40000+ 1 5.72136- 3 1.66400- 5 1.30000+ 1 1.60000+ 1 3.89883- 2 1.84010- 4 1.30000+ 1 1.80000+ 1 6.65408- 3 2.08570- 4 1.30000+ 1 1.90000+ 1 5.08479- 3 2.11180- 4 1.30000+ 1 2.10000+ 1 1.78940- 3 2.46640- 4 1.30000+ 1 2.20000+ 1 1.88320- 3 2.46870- 4 1.30000+ 1 2.70000+ 1 1.13596- 3 2.47670- 4 1.40000+ 1 1.40000+ 1 1.44114- 2 2.00900- 5 1.40000+ 1 1.60000+ 1 5.76118- 2 1.87460- 4 1.40000+ 1 1.80000+ 1 2.11854- 3 2.12020- 4 1.40000+ 1 1.90000+ 1 1.35443- 2 2.14630- 4 1.40000+ 1 2.10000+ 1 1.98662- 3 2.50090- 4 1.40000+ 1 2.20000+ 1 3.45487- 3 2.50320- 4 1.40000+ 1 2.70000+ 1 1.67682- 3 2.51120- 4 1.60000+ 1 1.60000+ 1 1.82067- 2 3.54830- 4 1.60000+ 1 1.80000+ 1 2.59272- 2 3.79390- 4 1.60000+ 1 1.90000+ 1 4.89149- 2 3.82000- 4 1.60000+ 1 2.10000+ 1 1.28393- 2 4.17460- 4 1.60000+ 1 2.20000+ 1 1.86260- 2 4.17690- 4 1.60000+ 1 2.70000+ 1 1.21370- 3 4.18490- 4 1.80000+ 1 1.80000+ 1 1.45390- 3 4.03950- 4 1.80000+ 1 1.90000+ 1 3.59165- 3 4.06560- 4 1.80000+ 1 2.10000+ 1 6.14115- 4 4.42020- 4 1.80000+ 1 2.20000+ 1 1.79111- 4 4.42250- 4 1.80000+ 1 2.70000+ 1 6.65304- 4 4.43050- 4 1.90000+ 1 1.90000+ 1 4.83198- 3 4.09170- 4 1.90000+ 1 2.10000+ 1 4.67219- 4 4.44630- 4 1.90000+ 1 2.20000+ 1 1.41852- 3 4.44860- 4 1.90000+ 1 2.70000+ 1 1.30724- 3 4.45660- 4 2.10000+ 1 2.10000+ 1 3.15252- 5 4.80090- 4 2.10000+ 1 2.20000+ 1 6.93508- 5 4.80320- 4 2.10000+ 1 2.70000+ 1 2.96337- 4 4.81120- 4 2.20000+ 1 2.20000+ 1 6.72499- 5 4.80550- 4 2.20000+ 1 2.70000+ 1 4.28742- 4 4.81350- 4 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 3.87230- 4 1.69190- 4 1.60000+ 1 1.31530- 4 3.40010- 4 2.10000+ 1 7.39280- 5 4.02640- 4 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 9.53689- 3 1.10100- 5 1.10000+ 1 2.20000+ 1 2.22890- 2 1.12400- 5 1.10000+ 1 2.70000+ 1 3.11617- 3 1.20400- 5 1.30000+ 1 1.60000+ 1 1.61402- 1 9.95600- 5 1.30000+ 1 1.80000+ 1 1.67080- 1 1.24120- 4 1.30000+ 1 1.90000+ 1 2.58007- 1 1.26730- 4 1.30000+ 1 2.10000+ 1 1.49526- 2 1.62190- 4 1.30000+ 1 2.20000+ 1 1.16747- 2 1.62420- 4 1.30000+ 1 2.70000+ 1 6.21474- 3 1.63220- 4 1.40000+ 1 1.60000+ 1 2.66750- 2 1.03010- 4 1.40000+ 1 1.80000+ 1 2.31553- 1 1.27570- 4 1.40000+ 1 1.90000+ 1 2.45258- 2 1.30180- 4 1.40000+ 1 2.10000+ 1 3.60609- 3 1.65640- 4 1.40000+ 1 2.20000+ 1 2.24445- 3 1.65870- 4 1.40000+ 1 2.70000+ 1 7.85542- 4 1.66670- 4 1.60000+ 1 1.60000+ 1 6.48330- 4 2.70380- 4 1.60000+ 1 1.80000+ 1 1.03914- 2 2.94940- 4 1.60000+ 1 1.90000+ 1 1.60794- 3 2.97550- 4 1.60000+ 1 2.10000+ 1 1.83789- 4 3.33010- 4 1.60000+ 1 2.20000+ 1 3.26016- 4 3.33240- 4 1.60000+ 1 2.70000+ 1 4.15596- 5 3.34040- 4 1.80000+ 1 1.80000+ 1 6.54210- 3 3.19500- 4 1.80000+ 1 1.90000+ 1 2.10256- 2 3.22110- 4 1.80000+ 1 2.10000+ 1 4.76422- 3 3.57570- 4 1.80000+ 1 2.20000+ 1 7.98343- 3 3.57800- 4 1.80000+ 1 2.70000+ 1 4.00659- 4 3.58600- 4 1.90000+ 1 1.90000+ 1 5.43456- 4 3.24720- 4 1.90000+ 1 2.10000+ 1 6.61252- 4 3.60180- 4 1.90000+ 1 2.20000+ 1 3.84865- 4 3.60410- 4 1.90000+ 1 2.70000+ 1 4.82279- 5 3.61210- 4 2.10000+ 1 2.10000+ 1 4.35891- 5 3.95640- 4 2.10000+ 1 2.20000+ 1 1.12219- 4 3.95870- 4 2.10000+ 1 2.70000+ 1 6.49193- 6 3.96670- 4 2.20000+ 1 2.20000+ 1 2.04043- 5 3.96100- 4 2.20000+ 1 2.70000+ 1 9.27475- 6 3.96900- 4 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.99625- 5 1.51180- 4 1.40000+ 1 2.92486- 4 1.54630- 4 1.60000+ 1 1.54076- 4 3.22000- 4 2.10000+ 1 9.19067- 6 3.84630- 4 2.20000+ 1 7.58636- 5 3.84860- 4 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 3.21577- 2 8.15500- 5 1.30000+ 1 1.80000+ 1 2.26212- 2 1.06110- 4 1.30000+ 1 1.90000+ 1 1.66914- 1 1.08720- 4 1.30000+ 1 2.10000+ 1 3.60189- 3 1.44180- 4 1.30000+ 1 2.20000+ 1 2.74161- 3 1.44410- 4 1.30000+ 1 2.70000+ 1 1.08244- 3 1.45210- 4 1.40000+ 1 1.60000+ 1 1.55120- 1 8.50000- 5 1.40000+ 1 1.80000+ 1 1.50074- 1 1.09560- 4 1.40000+ 1 1.90000+ 1 3.44715- 1 1.12170- 4 1.40000+ 1 2.10000+ 1 9.25682- 3 1.47630- 4 1.40000+ 1 2.20000+ 1 2.13604- 2 1.47860- 4 1.40000+ 1 2.70000+ 1 5.88134- 3 1.48660- 4 1.60000+ 1 1.60000+ 1 7.96241- 4 2.52370- 4 1.60000+ 1 1.80000+ 1 1.20794- 3 2.76930- 4 1.60000+ 1 1.90000+ 1 1.86110- 2 2.79540- 4 1.60000+ 1 2.10000+ 1 3.67964- 4 3.15000- 4 1.60000+ 1 2.20000+ 1 4.64483- 4 3.15230- 4 1.60000+ 1 2.70000+ 1 5.12724- 5 3.16030- 4 1.80000+ 1 1.80000+ 1 2.15440- 4 3.01490- 4 1.80000+ 1 1.90000+ 1 1.80479- 2 3.04100- 4 1.80000+ 1 2.10000+ 1 1.98098- 4 3.39560- 4 1.80000+ 1 2.20000+ 1 8.34323- 4 3.39790- 4 1.80000+ 1 2.70000+ 1 3.61498- 5 3.40590- 4 1.90000+ 1 1.90000+ 1 2.36222- 2 3.06710- 4 1.90000+ 1 2.10000+ 1 7.89697- 3 3.42170- 4 1.90000+ 1 2.20000+ 1 1.07836- 2 3.42400- 4 1.90000+ 1 2.70000+ 1 5.90031- 4 3.43200- 4 2.10000+ 1 2.10000+ 1 1.19609- 5 3.77630- 4 2.10000+ 1 2.20000+ 1 8.97082- 5 3.77860- 4 2.10000+ 1 2.70000+ 1 5.98051- 6 3.78660- 4 2.20000+ 1 2.20000+ 1 7.17652- 5 3.78090- 4 2.20000+ 1 2.70000+ 1 8.54350- 6 3.78890- 4 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.19401- 4 1.95380- 4 1.90000+ 1 2.11982- 5 1.97990- 4 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.72992- 2 1.01190- 4 1.60000+ 1 1.80000+ 1 8.96720- 2 1.25750- 4 1.60000+ 1 1.90000+ 1 1.02695- 1 1.28360- 4 1.60000+ 1 2.10000+ 1 1.60549- 1 1.63820- 4 1.60000+ 1 2.20000+ 1 3.24590- 2 1.64050- 4 1.60000+ 1 2.70000+ 1 7.28879- 4 1.64850- 4 1.80000+ 1 1.90000+ 1 5.28905- 2 1.52920- 4 1.80000+ 1 2.10000+ 1 1.08693- 1 1.88380- 4 1.80000+ 1 2.20000+ 1 1.14925- 2 1.88610- 4 1.80000+ 1 2.70000+ 1 1.04473- 3 1.89410- 4 1.90000+ 1 1.90000+ 1 2.74547- 2 1.55530- 4 1.90000+ 1 2.10000+ 1 2.42259- 1 1.90990- 4 1.90000+ 1 2.20000+ 1 1.24150- 2 1.91220- 4 1.90000+ 1 2.70000+ 1 1.60348- 3 1.92020- 4 2.10000+ 1 2.10000+ 1 3.21186- 2 2.26450- 4 2.10000+ 1 2.20000+ 1 9.91232- 2 2.26680- 4 2.10000+ 1 2.70000+ 1 5.36919- 3 2.27480- 4 2.20000+ 1 2.20000+ 1 1.38482- 3 2.26910- 4 2.20000+ 1 2.70000+ 1 6.07393- 4 2.27710- 4 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.22210- 4 1.94540- 4 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.97751- 2 9.77400- 5 1.60000+ 1 1.80000+ 1 5.93024- 2 1.22300- 4 1.60000+ 1 1.90000+ 1 1.43881- 1 1.24910- 4 1.60000+ 1 2.10000+ 1 2.28327- 2 1.60370- 4 1.60000+ 1 2.20000+ 1 1.66505- 1 1.60600- 4 1.60000+ 1 2.70000+ 1 8.22998- 4 1.61400- 4 1.80000+ 1 1.80000+ 1 1.15212- 3 1.46860- 4 1.80000+ 1 1.90000+ 1 5.60094- 2 1.49470- 4 1.80000+ 1 2.10000+ 1 3.48005- 3 1.84930- 4 1.80000+ 1 2.20000+ 1 1.27874- 1 1.85160- 4 1.80000+ 1 2.70000+ 1 9.64035- 4 1.85960- 4 1.90000+ 1 1.90000+ 1 2.88752- 2 1.52080- 4 1.90000+ 1 2.10000+ 1 1.34969- 2 1.87540- 4 1.90000+ 1 2.20000+ 1 2.18856- 1 1.87770- 4 1.90000+ 1 2.70000+ 1 1.81058- 3 1.88570- 4 2.10000+ 1 2.10000+ 1 4.70274- 4 2.23000- 4 2.10000+ 1 2.20000+ 1 6.65913- 2 2.23230- 4 2.10000+ 1 2.70000+ 1 4.23255- 4 2.24030- 4 2.20000+ 1 2.20000+ 1 6.13710- 2 2.23460- 4 2.20000+ 1 2.70000+ 1 5.38475- 3 2.24260- 4 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.16460- 6 2.45600- 5 1.90000+ 1 5.97820- 6 2.71700- 5 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10000+ 1 7.08979- 2 1.75600- 5 1.80000+ 1 2.20000+ 1 2.31324- 1 1.77900- 5 1.80000+ 1 2.70000+ 1 1.04084- 2 1.85900- 5 1.90000+ 1 2.10000+ 1 3.18425- 1 2.01700- 5 1.90000+ 1 2.20000+ 1 3.29109- 1 2.04000- 5 1.90000+ 1 2.70000+ 1 1.81754- 2 2.12000- 5 2.10000+ 1 2.10000+ 1 2.25239- 4 5.56300- 5 2.10000+ 1 2.20000+ 1 1.24751- 2 5.58600- 5 2.10000+ 1 2.70000+ 1 1.87167- 3 5.66600- 5 2.20000+ 1 2.20000+ 1 3.61166- 3 5.60900- 5 2.20000+ 1 2.70000+ 1 3.46805- 3 5.68900- 5 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.82990- 6 3.80700- 5 2.70000+ 1 1.08650- 7 3.91000- 5 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 1.15261- 1 3.10700- 5 2.10000+ 1 2.20000+ 1 8.34874- 1 3.13000- 5 2.10000+ 1 2.70000+ 1 2.23961- 2 3.21000- 5 2.20000+ 1 2.20000+ 1 2.40660- 2 3.15300- 5 2.20000+ 1 2.70000+ 1 3.40101- 3 3.23300- 5 1 42000 0 7 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 4.65800- 8 3.54600- 5 2.20000+ 1 4.25860- 7 3.56900- 5 2.70000+ 1 2.76990- 8 3.64900- 5 1 42000 0 9 9.59400+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 1.70643- 2 2.84600- 5 2.10000+ 1 2.20000+ 1 6.11039- 1 2.86900- 5 2.10000+ 1 2.70000+ 1 5.62672- 3 2.94900- 5 2.20000+ 1 2.20000+ 1 3.40849- 1 2.89200- 5 2.20000+ 1 2.70000+ 1 2.54206- 2 2.97200- 5 1 43000 0 0 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 2.40000+ 0 2.20000+ 1 3.60000+ 0 2.70000+ 1 1.00000+ 0 1 43000 0 0 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.10120- 2 3.00000+ 0 3.02240- 3 5.00000+ 0 2.79790- 3 6.00000+ 0 2.67760- 3 8.00000+ 0 5.33420- 4 1.00000+ 1 4.45240- 4 1.10000+ 1 4.24950- 4 1.30000+ 1 2.67010- 4 1.40000+ 1 2.63070- 4 1.60000+ 1 7.58500- 5 1.80000+ 1 4.96000- 5 1.90000+ 1 4.65500- 5 2.10000+ 1 8.07000- 6 2.20000+ 1 7.78000- 6 2.70000+ 1 6.19000- 6 1 43000 0 0 9.80000+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.65970- 2 3.00000+ 0 5.56440- 3 5.00000+ 0 5.56690- 3 6.00000+ 0 5.12860- 3 8.00000+ 0 1.49560- 3 1.00000+ 1 1.43700- 3 1.10000+ 1 1.34440- 3 1.30000+ 1 1.22860- 3 1.40000+ 1 1.20640- 3 1.60000+ 1 3.49520- 4 1.80000+ 1 2.96770- 4 1.90000+ 1 2.77480- 4 2.10000+ 1 1.47680- 4 2.20000+ 1 1.43830- 4 2.70000+ 1 3.25400- 5 1 43000 0 0 9.80000+ 1 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.81030-10 3.00000+ 0 7.86220-10 5.00000+ 0 6.68440-10 6.00000+ 0 6.92770-10 8.00000+ 0 2.17720- 9 1.00000+ 1 2.13890- 9 1.10000+ 1 2.19380- 9 1.30000+ 1 2.06290- 9 1.40000+ 1 2.08060- 9 1.60000+ 1 5.52590- 9 1.80000+ 1 5.99700- 9 1.90000+ 1 6.15540- 9 2.10000+ 1 8.85460- 9 2.20000+ 1 8.97820- 9 2.70000+ 1 1.87170- 8 1 43000 0 0 9.80000+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.68640- 6 3.00000+ 0 4.69440- 8 5.00000+ 0 7.35760- 8 6.00000+ 0 7.08830- 8 8.00000+ 0 6.97860-10 1.00000+ 1 6.44270-10 1.10000+ 1 5.77240-10 1.30000+ 1 5.07350-11 1.40000+ 1 4.62400-11 1.60000+ 1 1.86470-11 1.80000+ 1 2.83320-11 1.90000+ 1 2.45690-11 1 43000 0 0 9.80000+ 1 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.06170- 6 3.00000+ 0 6.33270- 6 5.00000+ 0 1.81640- 6 6.00000+ 0 1.68800- 6 8.00000+ 0 9.04670- 6 1.00000+ 1 3.07440- 6 1.10000+ 1 3.23250- 6 1.30000+ 1 1.38170- 7 1.40000+ 1 1.41900- 7 1.60000+ 1 1.36420- 5 1.80000+ 1 3.32500- 6 1.90000+ 1 3.49640- 6 1 43000 0 0 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.37457- 5 3.00000+ 0 8.38504- 5 5.00000+ 0 6.41873- 5 6.00000+ 0 6.17547- 5 8.00000+ 0 5.37070- 5 1.00000+ 1 4.29815- 5 1.10000+ 1 4.22279- 5 1.30000+ 1 2.65521- 5 1.40000+ 1 2.66164- 5 1.60000+ 1 2.34120- 5 1.80000+ 1 1.58517- 5 1.90000+ 1 1.57148- 5 2.10000+ 1 8.07000- 6 2.20000+ 1 7.78000- 6 2.70000+ 1 6.19000- 6 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.24516- 1 3.00000+ 0 4.30616- 2 5.00000+ 0 4.67068- 2 6.00000+ 0 4.24676- 2 8.00000+ 0 8.62630- 4 1.00000+ 1 8.89951- 4 1.10000+ 1 8.18668- 4 1.30000+ 1 2.00354- 4 1.40000+ 1 1.76009- 4 1.60000+ 1 1.22394- 5 1.80000+ 1 3.47919- 6 1.90000+ 1 9.08906- 7 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.46585- 2 3.00000+ 0 1.02952- 4 5.00000+ 0 1.15129- 4 6.00000+ 0 9.99117- 5 8.00000+ 0 2.47384- 7 1.00000+ 1 2.26160- 7 1.10000+ 1 2.08417- 7 1.30000+ 1 4.26311- 8 1.40000+ 1 3.70746- 8 1.60000+ 1 3.69040-10 1.80000+ 1 1.44779-10 1.90000+ 1 3.52805-11 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.36252+ 0 3.00000+ 0 9.64779+ 0 5.00000+ 0 7.14132+ 0 6.00000+ 0 6.84374+ 0 8.00000+ 0 5.82124+ 0 1.00000+ 1 4.44848+ 0 1.10000+ 1 4.36631+ 0 1.30000+ 1 2.35606+ 0 1.40000+ 1 2.38790+ 0 1.60000+ 1 1.97484+ 0 1.80000+ 1 9.99997- 1 1.90000+ 1 9.99999- 1 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.27980- 3 3.00000+ 0 2.83560- 3 5.00000+ 0 2.61858- 3 6.00000+ 0 2.51593- 3 8.00000+ 0 4.79466- 4 1.00000+ 1 4.02032- 4 1.10000+ 1 3.82514- 4 1.30000+ 1 2.40415- 4 1.40000+ 1 2.36417- 4 1.60000+ 1 5.24377- 5 1.80000+ 1 3.37482- 5 1.90000+ 1 3.08352- 5 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.25571- 1 1.82141- 2 6.00000+ 0 4.28852- 1 1.83344- 2 1.00000+ 1 3.54672- 2 2.05668- 2 1.10000+ 1 6.90254- 2 2.05870- 2 1.30000+ 1 1.85021- 4 2.07450- 2 1.40000+ 1 2.61141- 4 2.07489- 2 1.80000+ 1 6.84274- 3 2.09624- 2 1.90000+ 1 1.31501- 2 2.09654- 2 2.10000+ 1 9.78925- 6 2.10039- 2 2.20000+ 1 1.36611- 5 2.10042- 2 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 1.58584- 2 1.49672- 2 3.00000+ 0 5.00000+ 0 1.80122- 2 1.51917- 2 3.00000+ 0 6.00000+ 0 2.68209- 2 1.53120- 2 3.00000+ 0 8.00000+ 0 5.17375- 3 1.74562- 2 3.00000+ 0 1.00000+ 1 3.07477- 3 1.75444- 2 3.00000+ 0 1.10000+ 1 4.56756- 3 1.75646- 2 3.00000+ 0 1.30000+ 1 2.55570- 4 1.77226- 2 3.00000+ 0 1.40000+ 1 3.10990- 4 1.77265- 2 3.00000+ 0 1.60000+ 1 9.22767- 4 1.79137- 2 3.00000+ 0 1.80000+ 1 4.83997- 4 1.79400- 2 3.00000+ 0 1.90000+ 1 7.13006- 4 1.79430- 2 3.00000+ 0 2.10000+ 1 1.47010- 5 1.79815- 2 3.00000+ 0 2.20000+ 1 1.75278- 5 1.79818- 2 3.00000+ 0 2.70000+ 1 4.63663- 5 1.79834- 2 5.00000+ 0 5.00000+ 0 2.73505- 3 1.54162- 2 5.00000+ 0 6.00000+ 0 6.08360- 2 1.55365- 2 5.00000+ 0 8.00000+ 0 2.43808- 3 1.76807- 2 5.00000+ 0 1.00000+ 1 8.50402- 4 1.77689- 2 5.00000+ 0 1.10000+ 1 8.72374- 3 1.77891- 2 5.00000+ 0 1.30000+ 1 3.29655- 4 1.79471- 2 5.00000+ 0 1.40000+ 1 1.16305- 3 1.79510- 2 5.00000+ 0 1.60000+ 1 4.20130- 4 1.81382- 2 5.00000+ 0 1.80000+ 1 1.32308- 4 1.81645- 2 5.00000+ 0 1.90000+ 1 1.32644- 3 1.81675- 2 5.00000+ 0 2.10000+ 1 1.86593- 5 1.82060- 2 5.00000+ 0 2.20000+ 1 6.50233- 5 1.82063- 2 5.00000+ 0 2.70000+ 1 2.09206- 5 1.82079- 2 6.00000+ 0 6.00000+ 0 3.19699- 2 1.56568- 2 6.00000+ 0 8.00000+ 0 3.61926- 3 1.78010- 2 6.00000+ 0 1.00000+ 1 8.63035- 3 1.78892- 2 6.00000+ 0 1.10000+ 1 9.37921- 3 1.79094- 2 6.00000+ 0 1.30000+ 1 1.41296- 3 1.80674- 2 6.00000+ 0 1.40000+ 1 1.34004- 3 1.80713- 2 6.00000+ 0 1.60000+ 1 6.24241- 4 1.82585- 2 6.00000+ 0 1.80000+ 1 1.32021- 3 1.82848- 2 6.00000+ 0 1.90000+ 1 1.43220- 3 1.82878- 2 6.00000+ 0 2.10000+ 1 7.97228- 5 1.83263- 2 6.00000+ 0 2.20000+ 1 7.52000- 5 1.83266- 2 6.00000+ 0 2.70000+ 1 3.10987- 5 1.83282- 2 8.00000+ 0 8.00000+ 0 4.16160- 4 1.99452- 2 8.00000+ 0 1.00000+ 1 4.19534- 4 2.00333- 2 8.00000+ 0 1.10000+ 1 6.20277- 4 2.00536- 2 8.00000+ 0 1.30000+ 1 3.22290- 5 2.02116- 2 8.00000+ 0 1.40000+ 1 3.84478- 5 2.02155- 2 8.00000+ 0 1.60000+ 1 1.48146- 4 2.04027- 2 8.00000+ 0 1.80000+ 1 6.61559- 5 2.04290- 2 8.00000+ 0 1.90000+ 1 9.72531- 5 2.04320- 2 8.00000+ 0 2.10000+ 1 1.69625- 6 2.04705- 2 8.00000+ 0 2.20000+ 1 2.26160- 6 2.04708- 2 8.00000+ 0 2.70000+ 1 7.35054- 6 2.04724- 2 1.00000+ 1 1.00000+ 1 6.33278- 5 2.01215- 2 1.00000+ 1 1.10000+ 1 1.25413- 3 2.01418- 2 1.00000+ 1 1.30000+ 1 3.61882- 5 2.02997- 2 1.00000+ 1 1.40000+ 1 1.31185- 4 2.03037- 2 1.00000+ 1 1.60000+ 1 7.23753- 5 2.04909- 2 1.00000+ 1 1.80000+ 1 1.97901- 5 2.05172- 2 1.00000+ 1 1.90000+ 1 1.91113- 4 2.05202- 2 1.00000+ 1 2.10000+ 1 2.26159- 6 2.05587- 2 1.00000+ 1 2.20000+ 1 7.35050- 6 2.05590- 2 1.00000+ 1 2.70000+ 1 3.39247- 6 2.05606- 2 1.10000+ 1 1.10000+ 1 6.89245- 4 2.01621- 2 1.10000+ 1 1.30000+ 1 1.65099- 4 2.03200- 2 1.10000+ 1 1.40000+ 1 1.52658- 4 2.03240- 2 1.10000+ 1 1.60000+ 1 1.06859- 4 2.05112- 2 1.10000+ 1 1.80000+ 1 1.92241- 4 2.05374- 2 1.10000+ 1 1.90000+ 1 2.10325- 4 2.05405- 2 1.10000+ 1 2.10000+ 1 9.61193- 6 2.05790- 2 1.10000+ 1 2.20000+ 1 8.48107- 6 2.05793- 2 1.10000+ 1 2.70000+ 1 5.08862- 6 2.05809- 2 1.30000+ 1 1.40000+ 1 1.75277- 5 2.04819- 2 1.30000+ 1 1.60000+ 1 5.65432- 6 2.06691- 2 1.30000+ 1 1.80000+ 1 5.08878- 6 2.06954- 2 1.30000+ 1 1.90000+ 1 2.43147- 5 2.06984- 2 1.30000+ 1 2.20000+ 1 1.13079- 6 2.07372- 2 1.40000+ 1 1.40000+ 1 4.56920- 6 2.04859- 2 1.40000+ 1 1.60000+ 1 6.85399- 6 2.06731- 2 1.40000+ 1 1.80000+ 1 1.94196- 5 2.06993- 2 1.40000+ 1 1.90000+ 1 2.28450- 5 2.07024- 2 1.40000+ 1 2.10000+ 1 1.14225- 6 2.07409- 2 1.40000+ 1 2.20000+ 1 5.71164- 7 2.07411- 2 1.40000+ 1 2.70000+ 1 5.71164- 7 2.07427- 2 1.60000+ 1 1.60000+ 1 1.32285- 5 2.08603- 2 1.60000+ 1 1.80000+ 1 1.15023- 5 2.08865- 2 1.60000+ 1 1.90000+ 1 1.72539- 5 2.08896- 2 1.60000+ 1 2.10000+ 1 5.75154- 7 2.09281- 2 1.60000+ 1 2.20000+ 1 5.75154- 7 2.09284- 2 1.60000+ 1 2.70000+ 1 1.15023- 6 2.09300- 2 1.80000+ 1 1.80000+ 1 1.60391- 6 2.09128- 2 1.80000+ 1 1.90000+ 1 2.78017- 5 2.09158- 2 1.80000+ 1 2.10000+ 1 5.34659- 7 2.09543- 2 1.80000+ 1 2.20000+ 1 1.06924- 6 2.09546- 2 1.80000+ 1 2.70000+ 1 5.34659- 7 2.09562- 2 1.90000+ 1 1.90000+ 1 1.64370- 5 2.09189- 2 1.90000+ 1 2.10000+ 1 1.17403- 6 2.09574- 2 1.90000+ 1 2.20000+ 1 1.17403- 6 2.09577- 2 1.90000+ 1 2.70000+ 1 5.87055- 7 2.09593- 2 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.48490- 5 2.24500- 4 6.00000+ 0 9.87623- 5 3.44800- 4 1.00000+ 1 2.31551- 3 2.57716- 3 1.10000+ 1 3.95781- 3 2.59745- 3 1.30000+ 1 2.10051- 5 2.75539- 3 1.40000+ 1 3.13101- 5 2.75933- 3 1.80000+ 1 3.73861- 4 2.97280- 3 1.90000+ 1 6.44802- 4 2.97585- 3 2.10000+ 1 8.29562- 7 3.01433- 3 2.20000+ 1 1.23410- 6 3.01462- 3 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 2.21422- 2 1.48650- 4 5.00000+ 0 1.80000+ 1 1.45601- 2 1.74900- 4 5.00000+ 0 1.90000+ 1 1.98375- 2 1.77950- 4 5.00000+ 0 2.10000+ 1 2.33670- 3 2.16430- 4 5.00000+ 0 2.20000+ 1 3.93160- 3 2.16720- 4 5.00000+ 0 2.70000+ 1 1.07806- 3 2.18310- 4 6.00000+ 0 1.30000+ 1 2.71175- 1 7.77900- 5 6.00000+ 0 1.40000+ 1 3.89940- 1 8.17300- 5 6.00000+ 0 1.60000+ 1 3.37026- 2 2.68950- 4 6.00000+ 0 1.80000+ 1 1.45021- 2 2.95200- 4 6.00000+ 0 1.90000+ 1 2.91873- 2 2.98250- 4 6.00000+ 0 2.10000+ 1 9.05723- 3 3.36730- 4 6.00000+ 0 2.20000+ 1 1.19845- 2 3.37020- 4 6.00000+ 0 2.70000+ 1 1.63299- 3 3.38610- 4 8.00000+ 0 8.00000+ 0 5.85408- 3 1.95556- 3 8.00000+ 0 1.00000+ 1 1.14355- 2 2.04374- 3 8.00000+ 0 1.10000+ 1 2.17414- 2 2.06403- 3 8.00000+ 0 1.30000+ 1 1.69049- 2 2.22197- 3 8.00000+ 0 1.40000+ 1 2.43990- 2 2.22591- 3 8.00000+ 0 1.60000+ 1 1.80867- 3 2.41313- 3 8.00000+ 0 1.80000+ 1 1.77028- 3 2.43938- 3 8.00000+ 0 1.90000+ 1 3.33799- 3 2.44243- 3 8.00000+ 0 2.10000+ 1 8.61474- 4 2.48091- 3 8.00000+ 0 2.20000+ 1 1.23124- 3 2.48120- 3 8.00000+ 0 2.70000+ 1 8.87051- 5 2.48279- 3 1.00000+ 1 1.00000+ 1 9.21165- 5 2.13192- 3 1.00000+ 1 1.10000+ 1 4.95548- 4 2.15221- 3 1.00000+ 1 1.30000+ 1 3.72304- 4 2.31015- 3 1.00000+ 1 1.40000+ 1 5.84147- 3 2.31409- 3 1.00000+ 1 1.60000+ 1 1.45891- 3 2.50131- 3 1.00000+ 1 1.80000+ 1 1.79108- 5 2.52756- 3 1.00000+ 1 1.90000+ 1 7.29248- 5 2.53061- 3 1.00000+ 1 2.10000+ 1 1.87657- 5 2.56909- 3 1.00000+ 1 2.20000+ 1 2.14083- 4 2.56938- 3 1.00000+ 1 2.70000+ 1 6.90864- 5 2.57097- 3 1.10000+ 1 1.10000+ 1 5.20726- 4 2.17250- 3 1.10000+ 1 1.30000+ 1 4.97349- 3 2.33044- 3 1.10000+ 1 1.40000+ 1 3.47404- 3 2.33438- 3 1.10000+ 1 1.60000+ 1 2.77502- 3 2.52160- 3 1.10000+ 1 1.80000+ 1 7.29264- 5 2.54785- 3 1.10000+ 1 1.90000+ 1 1.28367- 4 2.55090- 3 1.10000+ 1 2.10000+ 1 1.72292- 4 2.58938- 3 1.10000+ 1 2.20000+ 1 1.22397- 4 2.58967- 3 1.10000+ 1 2.70000+ 1 1.31776- 4 2.59126- 3 1.30000+ 1 1.30000+ 1 8.53367- 4 2.48838- 3 1.30000+ 1 1.40000+ 1 3.41498- 2 2.49232- 3 1.30000+ 1 1.60000+ 1 2.06535- 3 2.67954- 3 1.30000+ 1 1.80000+ 1 7.59117- 5 2.70579- 3 1.30000+ 1 1.90000+ 1 7.53568- 4 2.70884- 3 1.30000+ 1 2.10000+ 1 8.70005- 5 2.74732- 3 1.30000+ 1 2.20000+ 1 1.36643- 3 2.74761- 3 1.30000+ 1 2.70000+ 1 9.76611- 5 2.74920- 3 1.40000+ 1 1.40000+ 1 9.59101- 3 2.49626- 3 1.40000+ 1 1.60000+ 1 2.98992- 3 2.68348- 3 1.40000+ 1 1.80000+ 1 8.42722- 4 2.70973- 3 1.40000+ 1 1.90000+ 1 5.48879- 4 2.71278- 3 1.40000+ 1 2.10000+ 1 1.36897- 3 2.75126- 3 1.40000+ 1 2.20000+ 1 7.92386- 4 2.75155- 3 1.40000+ 1 2.70000+ 1 1.41157- 4 2.75314- 3 1.60000+ 1 1.60000+ 1 1.33911- 4 2.87070- 3 1.60000+ 1 1.80000+ 1 2.26449- 4 2.89695- 3 1.60000+ 1 1.90000+ 1 4.26880- 4 2.90000- 3 1.60000+ 1 2.10000+ 1 1.04905- 4 2.93848- 3 1.60000+ 1 2.20000+ 1 1.50539- 4 2.93877- 3 1.60000+ 1 2.70000+ 1 1.32201- 5 2.94036- 3 1.80000+ 1 1.80000+ 1 1.00397- 6 2.92320- 3 1.80000+ 1 1.90000+ 1 1.25497- 5 2.92625- 3 1.80000+ 1 2.10000+ 1 4.01596- 6 2.96473- 3 1.80000+ 1 2.20000+ 1 3.71479- 5 2.96502- 3 1.80000+ 1 2.70000+ 1 1.25497- 5 2.96661- 3 1.90000+ 1 1.90000+ 1 9.06517- 6 2.92930- 3 1.90000+ 1 2.10000+ 1 3.00587- 5 2.96778- 3 1.90000+ 1 2.20000+ 1 2.19476- 5 2.96807- 3 1.90000+ 1 2.70000+ 1 2.29017- 5 2.96966- 3 2.10000+ 1 2.10000+ 1 2.13233- 6 3.00626- 3 2.10000+ 1 2.20000+ 1 5.28813- 5 3.00655- 3 2.10000+ 1 2.70000+ 1 5.11755- 6 3.00814- 3 2.20000+ 1 2.20000+ 1 1.57791- 5 3.00684- 3 2.20000+ 1 2.70000+ 1 7.24994- 6 3.00843- 3 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 6.67174- 9 1.20300- 4 8.00000+ 0 3.18252- 3 2.26448- 3 1.10000+ 1 3.25822- 5 2.37295- 3 1.30000+ 1 3.49882- 2 2.53089- 3 1.60000+ 1 2.68291- 4 2.72205- 3 1.90000+ 1 1.50311- 6 2.75135- 3 2.10000+ 1 1.57301- 3 2.78983- 3 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.70452- 2 4.44500- 5 6.00000+ 0 1.80000+ 1 5.70085- 2 7.07000- 5 6.00000+ 0 1.90000+ 1 2.12704- 2 7.37500- 5 6.00000+ 0 2.10000+ 1 3.16586- 2 1.12230- 4 6.00000+ 0 2.20000+ 1 1.23404- 2 1.12520- 4 6.00000+ 0 2.70000+ 1 7.57723- 4 1.14110- 4 8.00000+ 0 8.00000+ 0 1.45085- 3 1.73106- 3 8.00000+ 0 1.00000+ 1 3.14638- 2 1.81924- 3 8.00000+ 0 1.10000+ 1 2.97201- 3 1.83953- 3 8.00000+ 0 1.30000+ 1 1.82596- 3 1.99747- 3 8.00000+ 0 1.40000+ 1 4.54051- 3 2.00141- 3 8.00000+ 0 1.60000+ 1 4.22713- 4 2.18863- 3 8.00000+ 0 1.80000+ 1 3.52976- 3 2.21488- 3 8.00000+ 0 1.90000+ 1 4.09780- 4 2.21793- 3 8.00000+ 0 2.10000+ 1 6.90144- 5 2.25641- 3 8.00000+ 0 2.20000+ 1 1.56720- 4 2.25670- 3 8.00000+ 0 2.70000+ 1 2.01300- 5 2.25829- 3 1.00000+ 1 1.00000+ 1 3.00341- 2 1.90742- 3 1.00000+ 1 1.10000+ 1 9.83761- 2 1.92771- 3 1.00000+ 1 1.30000+ 1 5.13072- 2 2.08565- 3 1.00000+ 1 1.40000+ 1 9.16323- 2 2.08959- 3 1.00000+ 1 1.60000+ 1 5.71082- 3 2.27681- 3 1.00000+ 1 1.80000+ 1 8.12923- 3 2.30306- 3 1.00000+ 1 1.90000+ 1 1.48468- 2 2.30611- 3 1.00000+ 1 2.10000+ 1 2.60386- 3 2.34459- 3 1.00000+ 1 2.20000+ 1 4.61672- 3 2.34488- 3 1.00000+ 1 2.70000+ 1 2.84673- 4 2.34647- 3 1.10000+ 1 1.10000+ 1 2.65410- 3 1.94800- 3 1.10000+ 1 1.30000+ 1 6.34270- 2 2.10594- 3 1.10000+ 1 1.40000+ 1 8.63389- 3 2.10988- 3 1.10000+ 1 1.60000+ 1 4.68725- 4 2.29710- 3 1.10000+ 1 1.80000+ 1 1.14235- 2 2.32335- 3 1.10000+ 1 1.90000+ 1 6.84373- 4 2.32640- 3 1.10000+ 1 2.10000+ 1 2.87411- 3 2.36488- 3 1.10000+ 1 2.20000+ 1 3.63767- 4 2.36517- 3 1.10000+ 1 2.70000+ 1 2.30048- 5 2.36676- 3 1.30000+ 1 1.30000+ 1 5.63100- 2 2.26388- 3 1.30000+ 1 1.40000+ 1 2.47072- 1 2.26782- 3 1.30000+ 1 1.60000+ 1 3.42182- 4 2.45504- 3 1.30000+ 1 1.80000+ 1 5.95964- 3 2.48129- 3 1.30000+ 1 1.90000+ 1 9.13830- 3 2.48434- 3 1.30000+ 1 2.10000+ 1 5.07386- 3 2.52282- 3 1.30000+ 1 2.20000+ 1 1.16590- 2 2.52311- 3 1.30000+ 1 2.70000+ 1 1.72534- 5 2.52470- 3 1.40000+ 1 1.40000+ 1 1.17259- 2 2.27176- 3 1.40000+ 1 1.60000+ 1 7.18861- 4 2.45898- 3 1.40000+ 1 1.80000+ 1 9.68578- 3 2.48523- 3 1.40000+ 1 1.90000+ 1 1.14732- 3 2.48828- 3 1.40000+ 1 2.10000+ 1 9.87971- 3 2.52676- 3 1.40000+ 1 2.20000+ 1 1.02509- 3 2.52705- 3 1.40000+ 1 2.70000+ 1 3.45055- 5 2.52864- 3 1.60000+ 1 1.60000+ 1 3.74969- 5 2.64620- 3 1.60000+ 1 1.80000+ 1 7.98144- 4 2.67245- 3 1.60000+ 1 1.90000+ 1 8.03526- 5 2.67550- 3 1.60000+ 1 2.10000+ 1 1.60707- 5 2.71398- 3 1.60000+ 1 2.20000+ 1 3.21403- 5 2.71427- 3 1.60000+ 1 2.70000+ 1 3.57121- 6 2.71586- 3 1.80000+ 1 1.80000+ 1 5.33405- 4 2.69870- 3 1.80000+ 1 1.90000+ 1 1.72535- 3 2.70175- 3 1.80000+ 1 2.10000+ 1 2.99054- 4 2.74023- 3 1.80000+ 1 2.20000+ 1 4.90273- 4 2.74052- 3 1.80000+ 1 2.70000+ 1 3.16310- 5 2.74211- 3 1.90000+ 1 1.90000+ 1 4.45703- 5 2.70480- 3 1.90000+ 1 2.10000+ 1 4.16953- 4 2.74328- 3 1.90000+ 1 2.20000+ 1 4.88844- 5 2.74357- 3 1.90000+ 1 2.70000+ 1 2.87558- 6 2.74516- 3 2.10000+ 1 2.10000+ 1 1.04958- 4 2.78176- 3 2.10000+ 1 2.20000+ 1 4.39965- 4 2.78205- 3 2.20000+ 1 2.20000+ 1 2.15663- 5 2.78234- 3 2.20000+ 1 2.70000+ 1 1.43782- 6 2.78393- 3 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 5.00258- 3 2.14418- 3 1.00000+ 1 2.17759- 5 2.23236- 3 1.10000+ 1 2.06459- 5 2.25265- 3 1.30000+ 1 3.52648- 3 2.41059- 3 1.40000+ 1 3.13069- 2 2.41453- 3 1.60000+ 1 2.67279- 4 2.60175- 3 1.80000+ 1 7.66606- 7 2.62800- 3 1.90000+ 1 7.32087- 7 2.63105- 3 2.10000+ 1 1.56589- 4 2.66953- 3 2.20000+ 1 1.38169- 3 2.66982- 3 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.76224- 3 1.61076- 3 8.00000+ 0 1.00000+ 1 1.32524- 3 1.69894- 3 8.00000+ 0 1.10000+ 1 3.58856- 2 1.71923- 3 8.00000+ 0 1.30000+ 1 3.40716- 3 1.87717- 3 8.00000+ 0 1.40000+ 1 3.58478- 3 1.88111- 3 8.00000+ 0 1.60000+ 1 5.14323- 4 2.06833- 3 8.00000+ 0 1.80000+ 1 1.77622- 4 2.09458- 3 8.00000+ 0 1.90000+ 1 4.02964- 3 2.09763- 3 8.00000+ 0 2.10000+ 1 1.11199- 4 2.13611- 3 8.00000+ 0 2.20000+ 1 1.11199- 4 2.13640- 3 8.00000+ 0 2.70000+ 1 2.47119- 5 2.13799- 3 1.00000+ 1 1.00000+ 1 4.80328- 4 1.78712- 3 1.00000+ 1 1.10000+ 1 5.89351- 2 1.80741- 3 1.00000+ 1 1.30000+ 1 4.00797- 3 1.96535- 3 1.00000+ 1 1.40000+ 1 3.61401- 2 1.96929- 3 1.00000+ 1 1.60000+ 1 2.05416- 4 2.15651- 3 1.00000+ 1 1.80000+ 1 1.26644- 4 2.18276- 3 1.00000+ 1 1.90000+ 1 6.81921- 3 2.18581- 3 1.00000+ 1 2.10000+ 1 1.94604- 4 2.22429- 3 1.00000+ 1 2.20000+ 1 1.56924- 3 2.22458- 3 1.00000+ 1 2.70000+ 1 1.08114- 5 2.22617- 3 1.10000+ 1 1.10000+ 1 8.48233- 2 1.82770- 3 1.10000+ 1 1.30000+ 1 8.22007- 2 1.98564- 3 1.10000+ 1 1.40000+ 1 1.25876- 1 1.98958- 3 1.10000+ 1 1.60000+ 1 6.46682- 3 2.17680- 3 1.10000+ 1 1.80000+ 1 8.83307- 3 2.20305- 3 1.10000+ 1 1.90000+ 1 2.26113- 2 2.20610- 3 1.10000+ 1 2.10000+ 1 4.06520- 3 2.24458- 3 1.10000+ 1 2.20000+ 1 6.13934- 3 2.24487- 3 1.10000+ 1 2.70000+ 1 3.22797- 4 2.24646- 3 1.30000+ 1 1.30000+ 1 1.14838- 2 2.14358- 3 1.30000+ 1 1.40000+ 1 2.23607- 1 2.14752- 3 1.30000+ 1 1.60000+ 1 5.69969- 4 2.33474- 3 1.30000+ 1 1.80000+ 1 5.97774- 4 2.36099- 3 1.30000+ 1 1.90000+ 1 8.99586- 3 2.36404- 3 1.30000+ 1 2.10000+ 1 1.04105- 3 2.40252- 3 1.30000+ 1 2.20000+ 1 9.01573- 3 2.40281- 3 1.30000+ 1 2.70000+ 1 2.78030- 5 2.40440- 3 1.40000+ 1 1.40000+ 1 1.52184- 1 2.15146- 3 1.40000+ 1 1.60000+ 1 6.33226- 4 2.33868- 3 1.40000+ 1 1.80000+ 1 5.11543- 3 2.36493- 3 1.40000+ 1 1.90000+ 1 1.50866- 2 2.36798- 3 1.40000+ 1 2.10000+ 1 1.02355- 2 2.40646- 3 1.40000+ 1 2.20000+ 1 1.32735- 2 2.40675- 3 1.40000+ 1 2.70000+ 1 3.08901- 5 2.40834- 3 1.60000+ 1 1.60000+ 1 4.44426- 5 2.52590- 3 1.60000+ 1 1.80000+ 1 3.33322- 5 2.55215- 3 1.60000+ 1 1.90000+ 1 8.72154- 4 2.55520- 3 1.60000+ 1 2.10000+ 1 2.22208- 5 2.59368- 3 1.60000+ 1 2.20000+ 1 2.40725- 5 2.59397- 3 1.60000+ 1 2.70000+ 1 3.70345- 6 2.59556- 3 1.80000+ 1 1.80000+ 1 7.72265- 6 2.57840- 3 1.80000+ 1 1.90000+ 1 1.02248- 3 2.58145- 3 1.80000+ 1 2.10000+ 1 2.93465- 5 2.61993- 3 1.80000+ 1 2.20000+ 1 2.25502- 4 2.62022- 3 1.80000+ 1 2.70000+ 1 1.54455- 6 2.62181- 3 1.90000+ 1 1.90000+ 1 1.47190- 3 2.58450- 3 1.90000+ 1 2.10000+ 1 4.46352- 4 2.62298- 3 1.90000+ 1 2.20000+ 1 7.30569- 4 2.62327- 3 1.90000+ 1 2.70000+ 1 3.70686- 5 2.62486- 3 2.10000+ 1 2.10000+ 1 2.16230- 5 2.66146- 3 2.10000+ 1 2.20000+ 1 3.89221- 4 2.66175- 3 2.10000+ 1 2.70000+ 1 1.54450- 6 2.66334- 3 2.20000+ 1 2.20000+ 1 2.68754- 4 2.66204- 3 2.20000+ 1 2.70000+ 1 1.54450- 6 2.66363- 3 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.27913- 5 8.81800- 5 1.10000+ 1 4.88686- 5 1.08470- 4 1.80000+ 1 6.89190- 5 4.83820- 4 1.90000+ 1 1.04066- 4 4.86870- 4 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 5.60667- 2 1.23300- 5 1.00000+ 1 1.80000+ 1 5.42784- 2 3.85800- 5 1.00000+ 1 1.90000+ 1 1.09856- 1 4.16300- 5 1.00000+ 1 2.10000+ 1 2.15841- 2 8.01100- 5 1.00000+ 1 2.20000+ 1 2.74381- 2 8.04000- 5 1.00000+ 1 2.70000+ 1 2.05209- 3 8.19900- 5 1.10000+ 1 1.60000+ 1 9.48727- 2 3.26200- 5 1.10000+ 1 1.80000+ 1 1.00747- 1 5.88700- 5 1.10000+ 1 1.90000+ 1 1.63792- 1 6.19200- 5 1.10000+ 1 2.10000+ 1 2.32021- 2 1.00400- 4 1.10000+ 1 2.20000+ 1 3.54433- 2 1.00690- 4 1.10000+ 1 2.70000+ 1 3.36559- 3 1.02280- 4 1.30000+ 1 1.30000+ 1 9.58244- 3 0.00000+ 0 1.30000+ 1 1.40000+ 1 5.71571- 3 3.34000- 6 1.30000+ 1 1.60000+ 1 3.69508- 2 1.90560- 4 1.30000+ 1 1.80000+ 1 6.47820- 3 2.16810- 4 1.30000+ 1 1.90000+ 1 4.92464- 3 2.19860- 4 1.30000+ 1 2.10000+ 1 2.34693- 3 2.58340- 4 1.30000+ 1 2.20000+ 1 2.53256- 3 2.58630- 4 1.30000+ 1 2.70000+ 1 1.02935- 3 2.60220- 4 1.40000+ 1 1.40000+ 1 1.44403- 2 7.28000- 6 1.40000+ 1 1.60000+ 1 5.45425- 2 1.94500- 4 1.40000+ 1 1.80000+ 1 2.00911- 3 2.20750- 4 1.40000+ 1 1.90000+ 1 1.31208- 2 2.23800- 4 1.40000+ 1 2.10000+ 1 2.67252- 3 2.62280- 4 1.40000+ 1 2.20000+ 1 4.56374- 3 2.62570- 4 1.40000+ 1 2.70000+ 1 1.51820- 3 2.64160- 4 1.60000+ 1 1.60000+ 1 1.71718- 2 3.81720- 4 1.60000+ 1 1.80000+ 1 2.48064- 2 4.07970- 4 1.60000+ 1 1.90000+ 1 4.66589- 2 4.11020- 4 1.60000+ 1 2.10000+ 1 1.59179- 2 4.49500- 4 1.60000+ 1 2.20000+ 1 2.30745- 2 4.49790- 4 1.60000+ 1 2.70000+ 1 1.09803- 3 4.51380- 4 1.80000+ 1 1.80000+ 1 1.41630- 3 4.34220- 4 1.80000+ 1 1.90000+ 1 3.46836- 3 4.37270- 4 1.80000+ 1 2.10000+ 1 7.69799- 4 4.75750- 4 1.80000+ 1 2.20000+ 1 2.18399- 4 4.76040- 4 1.80000+ 1 2.70000+ 1 6.24918- 4 4.77630- 4 1.90000+ 1 1.90000+ 1 4.66692- 3 4.40320- 4 1.90000+ 1 2.10000+ 1 5.83371- 4 4.78800- 4 1.90000+ 1 2.20000+ 1 1.78137- 3 4.79090- 4 1.90000+ 1 2.70000+ 1 1.21598- 3 4.80680- 4 2.10000+ 1 2.10000+ 1 5.95317- 5 5.17280- 4 2.10000+ 1 2.20000+ 1 1.20985- 4 5.17570- 4 2.10000+ 1 2.70000+ 1 3.53353- 4 5.19160- 4 2.20000+ 1 2.20000+ 1 1.20985- 4 5.17860- 4 2.20000+ 1 2.70000+ 1 5.12743- 4 5.19450- 4 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.08441- 4 1.78230- 4 1.60000+ 1 1.50791- 4 3.69390- 4 2.10000+ 1 1.19070- 4 4.37170- 4 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.19315- 2 1.22200- 5 1.10000+ 1 2.20000+ 1 2.71305- 2 1.25100- 5 1.10000+ 1 2.70000+ 1 2.99221- 3 1.41000- 5 1.30000+ 1 1.60000+ 1 1.58075- 1 1.02380- 4 1.30000+ 1 1.80000+ 1 1.63612- 1 1.28630- 4 1.30000+ 1 1.90000+ 1 2.52229- 1 1.31680- 4 1.30000+ 1 2.10000+ 1 1.96635- 2 1.70160- 4 1.30000+ 1 2.20000+ 1 1.61203- 2 1.70450- 4 1.30000+ 1 2.70000+ 1 5.89306- 3 1.72040- 4 1.40000+ 1 1.60000+ 1 2.63805- 2 1.06320- 4 1.40000+ 1 1.80000+ 1 2.23604- 1 1.32570- 4 1.40000+ 1 1.90000+ 1 2.37477- 2 1.35620- 4 1.40000+ 1 2.10000+ 1 4.06957- 3 1.74100- 4 1.40000+ 1 2.20000+ 1 2.90013- 3 1.74390- 4 1.40000+ 1 2.70000+ 1 7.39409- 4 1.75980- 4 1.60000+ 1 1.60000+ 1 6.61577- 4 2.93540- 4 1.60000+ 1 1.80000+ 1 1.03607- 2 3.19790- 4 1.60000+ 1 1.90000+ 1 1.62479- 3 3.22840- 4 1.60000+ 1 2.10000+ 1 2.19339- 4 3.61320- 4 1.60000+ 1 2.20000+ 1 4.13932- 4 3.61610- 4 1.60000+ 1 2.70000+ 1 4.06845- 5 3.63200- 4 1.80000+ 1 1.80000+ 1 6.58469- 3 3.46040- 4 1.80000+ 1 1.90000+ 1 2.10820- 2 3.49090- 4 1.80000+ 1 2.10000+ 1 6.22136- 3 3.87570- 4 1.80000+ 1 2.20000+ 1 1.04010- 2 3.87860- 4 1.80000+ 1 2.70000+ 1 3.82090- 4 3.89450- 4 1.90000+ 1 1.90000+ 1 5.45730- 4 3.52140- 4 1.90000+ 1 2.10000+ 1 8.26990- 4 3.90620- 4 1.90000+ 1 2.20000+ 1 4.96192- 4 3.90910- 4 1.90000+ 1 2.70000+ 1 4.59939- 5 3.92500- 4 2.10000+ 1 2.10000+ 1 8.22572- 5 4.29100- 4 2.10000+ 1 2.20000+ 1 1.87513- 4 4.29390- 4 2.10000+ 1 2.70000+ 1 7.96044- 6 4.30980- 4 2.20000+ 1 2.20000+ 1 3.80327- 5 4.29680- 4 2.20000+ 1 2.70000+ 1 1.14985- 5 4.31270- 4 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 3.09009- 5 1.57940- 4 1.40000+ 1 3.03760- 4 1.61880- 4 1.60000+ 1 1.78209- 4 3.49100- 4 2.10000+ 1 1.48175- 5 4.16880- 4 2.20000+ 1 1.22269- 4 4.17170- 4 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 3.16513- 2 8.20900- 5 1.30000+ 1 1.80000+ 1 2.23194- 2 1.08340- 4 1.30000+ 1 1.90000+ 1 1.60788- 1 1.11390- 4 1.30000+ 1 2.10000+ 1 4.74010- 3 1.49870- 4 1.30000+ 1 2.20000+ 1 3.43230- 3 1.50160- 4 1.30000+ 1 2.70000+ 1 1.01936- 3 1.51750- 4 1.40000+ 1 1.60000+ 1 1.51835- 1 8.60300- 5 1.40000+ 1 1.80000+ 1 1.48042- 1 1.12280- 4 1.40000+ 1 1.90000+ 1 3.35066- 1 1.15330- 4 1.40000+ 1 2.10000+ 1 1.29672- 2 1.53810- 4 1.40000+ 1 2.20000+ 1 2.84358- 2 1.54100- 4 1.40000+ 1 2.70000+ 1 5.56499- 3 1.55690- 4 1.60000+ 1 1.60000+ 1 8.64144- 4 2.73250- 4 1.60000+ 1 1.80000+ 1 1.29697- 3 2.99500- 4 1.60000+ 1 1.90000+ 1 1.96624- 2 3.02550- 4 1.60000+ 1 2.10000+ 1 4.90943- 4 3.41030- 4 1.60000+ 1 2.20000+ 1 6.02592- 4 3.41320- 4 1.60000+ 1 2.70000+ 1 5.20017- 5 3.42910- 4 1.80000+ 1 1.80000+ 1 2.17085- 4 3.25750- 4 1.80000+ 1 1.90000+ 1 1.82895- 2 3.28800- 4 1.80000+ 1 2.10000+ 1 2.49078- 4 3.67280- 4 1.80000+ 1 2.20000+ 1 1.08260- 3 3.67570- 4 1.80000+ 1 2.70000+ 1 3.47883- 5 3.69160- 4 1.90000+ 1 1.90000+ 1 2.45335- 2 3.31850- 4 1.90000+ 1 2.10000+ 1 1.06630- 2 3.70330- 4 1.90000+ 1 2.20000+ 1 1.45451- 2 3.70620- 4 1.90000+ 1 2.70000+ 1 5.84514- 4 3.72210- 4 2.10000+ 1 2.10000+ 1 2.18774- 5 4.08810- 4 2.10000+ 1 2.20000+ 1 1.54760- 4 4.09100- 4 2.10000+ 1 2.70000+ 1 7.29268- 6 4.10690- 4 2.20000+ 1 2.20000+ 1 1.27217- 4 4.09390- 4 2.20000+ 1 2.70000+ 1 9.72275- 6 4.10980- 4 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.65709- 4 2.17410- 4 1.90000+ 1 2.91469- 5 2.20460- 4 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.02979- 2 1.15310- 4 1.60000+ 1 1.80000+ 1 6.13361- 2 1.41560- 4 1.60000+ 1 1.90000+ 1 6.90946- 2 1.44610- 4 1.60000+ 1 2.10000+ 1 1.66620- 1 1.83090- 4 1.60000+ 1 2.20000+ 1 3.26469- 2 1.83380- 4 1.60000+ 1 2.70000+ 1 4.13505- 4 1.84970- 4 1.80000+ 1 1.80000+ 1 2.55982- 4 1.67810- 4 1.80000+ 1 1.90000+ 1 4.60744- 2 1.70860- 4 1.80000+ 1 2.10000+ 1 1.14108- 1 2.09340- 4 1.80000+ 1 2.20000+ 1 1.13218- 2 2.09630- 4 1.80000+ 1 2.70000+ 1 6.89162- 4 2.11220- 4 1.90000+ 1 1.90000+ 1 2.28207- 2 1.73910- 4 1.90000+ 1 2.10000+ 1 2.55072- 1 2.12390- 4 1.90000+ 1 2.20000+ 1 1.24830- 2 2.12680- 4 1.90000+ 1 2.70000+ 1 1.06327- 3 2.14270- 4 2.10000+ 1 2.10000+ 1 5.14508- 2 2.50870- 4 2.10000+ 1 2.20000+ 1 1.36023- 1 2.51160- 4 2.10000+ 1 2.70000+ 1 5.39512- 3 2.52750- 4 2.20000+ 1 2.20000+ 1 2.04787- 3 2.51450- 4 2.20000+ 1 2.70000+ 1 5.90725- 4 2.53040- 4 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.70388- 4 2.16520- 4 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.21169- 2 1.11370- 4 1.60000+ 1 1.80000+ 1 4.06844- 2 1.37620- 4 1.60000+ 1 1.90000+ 1 9.85304- 2 1.40670- 4 1.60000+ 1 2.10000+ 1 2.31796- 2 1.79150- 4 1.60000+ 1 2.20000+ 1 1.73617- 1 1.79440- 4 1.60000+ 1 2.70000+ 1 4.98488- 4 1.81030- 4 1.80000+ 1 1.80000+ 1 6.51861- 4 1.63870- 4 1.80000+ 1 1.90000+ 1 4.84296- 2 1.66920- 4 1.80000+ 1 2.10000+ 1 3.37433- 3 2.05400- 4 1.80000+ 1 2.20000+ 1 1.35820- 1 2.05690- 4 1.80000+ 1 2.70000+ 1 6.51861- 4 2.07280- 4 1.90000+ 1 1.90000+ 1 2.62852- 2 1.69970- 4 1.90000+ 1 2.10000+ 1 1.37281- 2 2.08450- 4 1.90000+ 1 2.20000+ 1 2.30747- 1 2.08740- 4 1.90000+ 1 2.70000+ 1 1.22710- 3 2.10330- 4 2.10000+ 1 2.10000+ 1 7.66864- 4 2.46930- 4 2.10000+ 1 2.20000+ 1 9.19334- 2 2.47220- 4 2.10000+ 1 2.70000+ 1 4.21787- 4 2.48810- 4 2.20000+ 1 2.20000+ 1 9.17212- 2 2.47510- 4 2.20000+ 1 2.70000+ 1 5.44483- 3 2.49100- 4 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.75862- 6 2.62500- 5 1.90000+ 1 7.81247- 6 2.93000- 5 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10000+ 1 6.87044- 2 1.81800- 5 1.80000+ 1 2.20000+ 1 2.27486- 1 1.84700- 5 1.80000+ 1 2.70000+ 1 8.17189- 3 2.00600- 5 1.90000+ 1 2.10000+ 1 3.21726- 1 2.12300- 5 1.90000+ 1 2.20000+ 1 3.34828- 1 2.15200- 5 1.90000+ 1 2.70000+ 1 1.39214- 2 2.31100- 5 2.10000+ 1 2.10000+ 1 3.26069- 4 5.97100- 5 2.10000+ 1 2.20000+ 1 1.51761- 2 6.00000- 5 2.10000+ 1 2.70000+ 1 1.82198- 3 6.15900- 5 2.20000+ 1 2.20000+ 1 4.58873- 3 6.02900- 5 2.20000+ 1 2.70000+ 1 3.23823- 3 6.18800- 5 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.32552- 6 4.15300- 5 2.70000+ 1 1.53671- 7 4.34100- 5 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 1.30841- 1 3.34600- 5 2.10000+ 1 2.20000+ 1 8.25887- 1 3.37500- 5 2.10000+ 1 2.70000+ 1 1.56362- 2 3.53400- 5 2.20000+ 1 2.20000+ 1 2.55044- 2 3.40400- 5 2.20000+ 1 2.70000+ 1 2.12774- 3 3.56300- 5 1 43000 0 7 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 8.51739- 8 3.84800- 5 2.20000+ 1 7.81629- 7 3.87700- 5 2.70000+ 1 4.21030- 8 4.03600- 5 1 43000 0 9 9.80000+ 1 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 1.95148- 2 3.04100- 5 2.10000+ 1 2.20000+ 1 6.06641- 1 3.07000- 5 2.10000+ 1 2.70000+ 1 3.80347- 3 3.22900- 5 2.20000+ 1 2.20000+ 1 3.52752- 1 3.09900- 5 2.20000+ 1 2.70000+ 1 1.72873- 2 3.25800- 5 1 44000 0 0 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 2.80000+ 0 2.20000+ 1 4.20000+ 0 2.70000+ 1 1.00000+ 0 1 44000 0 0 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.20870- 2 3.00000+ 0 3.20390- 3 5.00000+ 0 2.97180- 3 6.00000+ 0 2.83870- 3 8.00000+ 0 5.74030- 4 1.00000+ 1 4.82060- 4 1.10000+ 1 4.59290- 4 1.30000+ 1 2.94530- 4 1.40000+ 1 2.90050- 4 1.60000+ 1 8.21400- 5 1.80000+ 1 5.41900- 5 1.90000+ 1 5.06600- 5 2.10000+ 1 9.15000- 6 2.20000+ 1 8.79000- 6 2.70000+ 1 6.38000- 6 1 44000 0 0 1.01070+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.79660- 2 3.00000+ 0 5.87830- 3 5.00000+ 0 5.88170- 3 6.00000+ 0 5.39690- 3 8.00000+ 0 1.59650- 3 1.00000+ 1 1.53700- 3 1.10000+ 1 1.43390- 3 1.30000+ 1 1.31760- 3 1.40000+ 1 1.29280- 3 1.60000+ 1 3.81750- 4 1.80000+ 1 3.26650- 4 1.90000+ 1 3.04430- 4 2.10000+ 1 1.68760- 4 2.20000+ 1 1.64210- 4 2.70000+ 1 3.44800- 5 1 44000 0 0 1.01070+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.76590-10 3.00000+ 0 7.65750-10 5.00000+ 0 6.49910-10 6.00000+ 0 6.75390-10 8.00000+ 0 2.11110- 9 1.00000+ 1 2.06940- 9 1.10000+ 1 2.12460- 9 1.30000+ 1 1.98720- 9 1.40000+ 1 2.00490- 9 1.60000+ 1 5.30970- 9 1.80000+ 1 5.73830- 9 1.90000+ 1 5.89660- 9 2.10000+ 1 8.26770- 9 2.20000+ 1 8.38740- 9 2.70000+ 1 1.81690- 8 1 44000 0 0 1.01070+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.07410- 6 3.00000+ 0 5.32580- 8 5.00000+ 0 8.45300- 8 6.00000+ 0 8.12150- 8 8.00000+ 0 8.29660-10 1.00000+ 1 7.64070-10 1.10000+ 1 6.91420-10 1.30000+ 1 6.10360-11 1.40000+ 1 5.52900-11 1.60000+ 1 2.11930-11 1.80000+ 1 3.86690-11 1.90000+ 1 3.31280-11 1 44000 0 0 1.01070+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.07980- 6 3.00000+ 0 6.46000- 6 5.00000+ 0 1.90660- 6 6.00000+ 0 1.76610- 6 8.00000+ 0 9.55580- 6 1.00000+ 1 3.21140- 6 1.10000+ 1 3.38460- 6 1.30000+ 1 1.70240- 7 1.40000+ 1 1.74000- 7 1.60000+ 1 1.64940- 5 1.80000+ 1 5.11590- 6 1.90000+ 1 5.42170- 6 1 44000 0 0 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.85077- 5 3.00000+ 0 9.03763- 5 5.00000+ 0 6.93787- 5 6.00000+ 0 6.65498- 5 8.00000+ 0 5.87364- 5 1.00000+ 1 4.71225- 5 1.10000+ 1 4.61446- 5 1.30000+ 1 2.86391- 5 1.40000+ 1 2.86400- 5 1.60000+ 1 2.64571- 5 1.80000+ 1 1.79500- 5 1.90000+ 1 1.77767- 5 2.10000+ 1 9.15000- 6 2.20000+ 1 8.79000- 6 2.70000+ 1 6.38000- 6 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.42738- 1 3.00000+ 0 4.70179- 2 5.00000+ 0 5.09408- 2 6.00000+ 0 4.61809- 2 8.00000+ 0 1.00997- 3 1.00000+ 1 1.05064- 3 1.10000+ 1 9.72179- 4 1.30000+ 1 2.70190- 4 1.40000+ 1 2.38587- 4 1.60000+ 1 1.61163- 5 1.80000+ 1 5.74850- 6 1.90000+ 1 1.52089- 6 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.56955- 2 3.00000+ 0 1.18709- 4 5.00000+ 0 1.32777- 4 6.00000+ 0 1.14680- 4 8.00000+ 0 3.18297- 7 1.00000+ 1 2.97814- 7 1.10000+ 1 2.77237- 7 1.30000+ 1 6.37179- 8 1.40000+ 1 5.57318- 8 1.60000+ 1 5.28838-10 1.80000+ 1 2.59472-10 1.90000+ 1 6.37739-11 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.81099+ 0 3.00000+ 0 9.14722+ 0 5.00000+ 0 6.77719+ 0 6.00000+ 0 6.47287+ 0 8.00000+ 0 5.61880+ 0 1.00000+ 1 4.27795+ 0 1.10000+ 1 4.18376+ 0 1.30000+ 1 2.19582+ 0 1.40000+ 1 2.22394+ 0 1.60000+ 1 1.97147+ 0 1.80000+ 1 9.99994- 1 1.90000+ 1 9.99998- 1 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.31299- 3 3.00000+ 0 2.99481- 3 5.00000+ 0 2.76964- 3 6.00000+ 0 2.65747- 3 8.00000+ 0 5.14975- 4 1.00000+ 1 4.34640- 4 1.10000+ 1 4.12868- 4 1.30000+ 1 2.65827- 4 1.40000+ 1 2.61354- 4 1.60000+ 1 5.56824- 5 1.80000+ 1 3.62398- 5 1.90000+ 1 3.28832- 5 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.29599- 1 1.91152- 2 6.00000+ 0 4.35598- 1 1.92483- 2 1.00000+ 1 3.65518- 2 2.16049- 2 1.10000+ 1 7.10886- 2 2.16277- 2 1.30000+ 1 2.04189- 4 2.17925- 2 1.40000+ 1 2.87289- 4 2.17969- 2 1.80000+ 1 7.15846- 3 2.20328- 2 1.90000+ 1 1.37819- 2 2.20363- 2 2.10000+ 1 1.36059- 5 2.20778- 2 2.20000+ 1 1.89269- 5 2.20782- 2 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 1.48957- 2 1.56792- 2 3.00000+ 0 5.00000+ 0 1.69821- 2 1.59113- 2 3.00000+ 0 6.00000+ 0 2.48619- 2 1.60444- 2 3.00000+ 0 8.00000+ 0 4.91238- 3 1.83091- 2 3.00000+ 0 1.00000+ 1 2.93899- 3 1.84010- 2 3.00000+ 0 1.10000+ 1 4.29709- 3 1.84238- 2 3.00000+ 0 1.30000+ 1 2.45703- 4 1.85886- 2 3.00000+ 0 1.40000+ 1 2.95971- 4 1.85930- 2 3.00000+ 0 1.60000+ 1 8.95176- 4 1.88010- 2 3.00000+ 0 1.80000+ 1 4.75833- 4 1.88289- 2 3.00000+ 0 1.90000+ 1 6.89913- 4 1.88324- 2 3.00000+ 0 2.10000+ 1 1.76232- 5 1.88739- 2 3.00000+ 0 2.20000+ 1 2.07335- 5 1.88743- 2 3.00000+ 0 2.70000+ 1 4.35413- 5 1.88767- 2 5.00000+ 0 5.00000+ 0 2.53560- 3 1.61434- 2 5.00000+ 0 6.00000+ 0 5.61569- 2 1.62765- 2 5.00000+ 0 8.00000+ 0 2.32167- 3 1.85412- 2 5.00000+ 0 1.00000+ 1 7.98243- 4 1.86331- 2 5.00000+ 0 1.10000+ 1 8.16101- 3 1.86559- 2 5.00000+ 0 1.30000+ 1 3.15149- 4 1.88207- 2 5.00000+ 0 1.40000+ 1 1.10717- 3 1.88251- 2 5.00000+ 0 1.60000+ 1 4.08989- 4 1.90331- 2 5.00000+ 0 1.80000+ 1 1.27516- 4 1.90610- 2 5.00000+ 0 1.90000+ 1 1.27467- 3 1.90645- 2 5.00000+ 0 2.10000+ 1 2.22889- 5 1.91060- 2 5.00000+ 0 2.20000+ 1 7.67159- 5 1.91064- 2 5.00000+ 0 2.70000+ 1 1.96969- 5 1.91088- 2 6.00000+ 0 6.00000+ 0 2.93834- 2 1.64096- 2 6.00000+ 0 8.00000+ 0 3.38495- 3 1.86743- 2 6.00000+ 0 1.00000+ 1 8.06450- 3 1.87662- 2 6.00000+ 0 1.10000+ 1 8.74037- 3 1.87890- 2 6.00000+ 0 1.30000+ 1 1.34300- 3 1.89538- 2 6.00000+ 0 1.40000+ 1 1.27045- 3 1.89582- 2 6.00000+ 0 1.60000+ 1 5.96109- 4 1.91662- 2 6.00000+ 0 1.80000+ 1 1.26839- 3 1.91941- 2 6.00000+ 0 1.90000+ 1 1.37108- 3 1.91976- 2 6.00000+ 0 2.10000+ 1 9.43381- 5 1.92391- 2 6.00000+ 0 2.20000+ 1 8.86388- 5 1.92395- 2 6.00000+ 0 2.70000+ 1 2.85095- 5 1.92419- 2 8.00000+ 0 8.00000+ 0 3.99144- 4 2.09389- 2 8.00000+ 0 1.00000+ 1 4.05379- 4 2.10309- 2 8.00000+ 0 1.10000+ 1 5.88863- 4 2.10537- 2 8.00000+ 0 1.30000+ 1 3.16209- 5 2.12184- 2 8.00000+ 0 1.40000+ 1 3.73224- 5 2.12229- 2 8.00000+ 0 1.60000+ 1 1.45145- 4 2.14308- 2 8.00000+ 0 1.80000+ 1 6.58328- 5 2.14588- 2 8.00000+ 0 1.90000+ 1 9.48616- 5 2.14623- 2 8.00000+ 0 2.10000+ 1 2.07344- 6 2.15038- 2 8.00000+ 0 2.20000+ 1 2.59184- 6 2.15042- 2 8.00000+ 0 2.70000+ 1 7.25720- 6 2.15066- 2 1.00000+ 1 1.00000+ 1 6.01312- 5 2.11229- 2 1.00000+ 1 1.10000+ 1 1.18811- 3 2.11456- 2 1.00000+ 1 1.30000+ 1 3.52487- 5 2.13104- 2 1.00000+ 1 1.40000+ 1 1.25959- 4 2.13149- 2 1.00000+ 1 1.60000+ 1 7.15351- 5 2.15228- 2 1.00000+ 1 1.80000+ 1 1.91801- 5 2.15507- 2 1.00000+ 1 1.90000+ 1 1.86096- 4 2.15543- 2 1.00000+ 1 2.10000+ 1 2.59183- 6 2.15958- 2 1.00000+ 1 2.20000+ 1 8.81231- 6 2.15961- 2 1.00000+ 1 2.70000+ 1 3.62836- 6 2.15986- 2 1.10000+ 1 1.10000+ 1 6.51580- 4 2.11684- 2 1.10000+ 1 1.30000+ 1 1.58624- 4 2.13332- 2 1.10000+ 1 1.40000+ 1 1.46695- 4 2.13377- 2 1.10000+ 1 1.60000+ 1 1.03671- 4 2.15456- 2 1.10000+ 1 1.80000+ 1 1.87127- 4 2.15735- 2 1.10000+ 1 1.90000+ 1 2.04240- 4 2.15770- 2 1.10000+ 1 2.10000+ 1 1.14040- 5 2.16186- 2 1.10000+ 1 2.20000+ 1 1.03671- 5 2.16189- 2 1.10000+ 1 2.70000+ 1 5.18365- 6 2.16213- 2 1.30000+ 1 1.40000+ 1 1.71057- 5 2.15024- 2 1.30000+ 1 1.60000+ 1 5.70182- 6 2.17103- 2 1.30000+ 1 1.80000+ 1 5.18344- 6 2.17383- 2 1.30000+ 1 1.90000+ 1 2.38437- 5 2.17418- 2 1.30000+ 1 2.20000+ 1 1.03667- 6 2.17837- 2 1.30000+ 1 2.70000+ 1 5.18344- 7 2.17861- 2 1.40000+ 1 1.40000+ 1 4.25251- 6 2.15069- 2 1.40000+ 1 1.60000+ 1 6.37872- 6 2.17148- 2 1.40000+ 1 1.80000+ 1 1.96683- 5 2.17428- 2 1.40000+ 1 1.90000+ 1 2.28569- 5 2.17463- 2 1.40000+ 1 2.10000+ 1 1.06311- 6 2.17878- 2 1.40000+ 1 2.20000+ 1 5.31561- 7 2.17882- 2 1.40000+ 1 2.70000+ 1 5.31561- 7 2.17906- 2 1.60000+ 1 1.60000+ 1 1.35282- 5 2.19227- 2 1.60000+ 1 1.80000+ 1 1.19047- 5 2.19507- 2 1.60000+ 1 1.90000+ 1 1.73164- 5 2.19542- 2 1.60000+ 1 2.10000+ 1 5.41126- 7 2.19957- 2 1.60000+ 1 2.20000+ 1 5.41126- 7 2.19961- 2 1.60000+ 1 2.70000+ 1 1.08224- 6 2.19985- 2 1.80000+ 1 1.80000+ 1 1.48869- 6 2.19786- 2 1.80000+ 1 1.90000+ 1 2.82850- 5 2.19821- 2 1.80000+ 1 2.10000+ 1 4.96223- 7 2.20237- 2 1.80000+ 1 2.20000+ 1 1.48869- 6 2.20240- 2 1.80000+ 1 2.70000+ 1 4.96223- 7 2.20264- 2 1.90000+ 1 1.90000+ 1 1.61851- 5 2.19857- 2 1.90000+ 1 2.10000+ 1 1.56630- 6 2.20272- 2 1.90000+ 1 2.20000+ 1 1.56630- 6 2.20275- 2 1.90000+ 1 2.70000+ 1 1.04417- 6 2.20300- 2 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.50210- 5 2.32100- 4 6.00000+ 0 1.04540- 4 3.65200- 4 1.00000+ 1 2.61200- 3 2.72184- 3 1.10000+ 1 4.43660- 3 2.74461- 3 1.30000+ 1 2.49630- 5 2.90937- 3 1.40000+ 1 3.72020- 5 2.91385- 3 1.80000+ 1 4.34860- 4 3.14971- 3 1.90000+ 1 7.45580- 4 3.15324- 3 2.10000+ 1 1.22390- 6 3.19475- 3 2.20000+ 1 1.82230- 6 3.19511- 3 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 2.24390- 2 1.49960- 4 5.00000+ 0 1.80000+ 1 1.48970- 2 1.77910- 4 5.00000+ 0 1.90000+ 1 2.01857- 2 1.81440- 4 5.00000+ 0 2.10000+ 1 2.80746- 3 2.22950- 4 5.00000+ 0 2.20000+ 1 4.70405- 3 2.23310- 4 5.00000+ 0 2.70000+ 1 1.05582- 3 2.25720- 4 6.00000+ 0 1.30000+ 1 2.64472- 1 7.06700- 5 6.00000+ 0 1.40000+ 1 3.85840- 1 7.51500- 5 6.00000+ 0 1.60000+ 1 3.37022- 2 2.83060- 4 6.00000+ 0 1.80000+ 1 1.45652- 2 3.11010- 4 6.00000+ 0 1.90000+ 1 2.90995- 2 3.14540- 4 6.00000+ 0 2.10000+ 1 1.11140- 2 3.56050- 4 6.00000+ 0 2.20000+ 1 1.46402- 2 3.56410- 4 6.00000+ 0 2.70000+ 1 1.57669- 3 3.58820- 4 8.00000+ 0 8.00000+ 0 5.85840- 3 2.05584- 3 8.00000+ 0 1.00000+ 1 1.14701- 2 2.14781- 3 8.00000+ 0 1.10000+ 1 2.17604- 2 2.17058- 3 8.00000+ 0 1.30000+ 1 1.70276- 2 2.33534- 3 8.00000+ 0 1.40000+ 1 2.45387- 2 2.33982- 3 8.00000+ 0 1.60000+ 1 1.84613- 3 2.54773- 3 8.00000+ 0 1.80000+ 1 1.82563- 3 2.57568- 3 8.00000+ 0 1.90000+ 1 3.43152- 3 2.57921- 3 8.00000+ 0 2.10000+ 1 1.07332- 3 2.62072- 3 8.00000+ 0 2.20000+ 1 1.52990- 3 2.62108- 3 8.00000+ 0 2.70000+ 1 8.72916- 5 2.62349- 3 1.00000+ 1 1.00000+ 1 8.93801- 5 2.23978- 3 1.00000+ 1 1.10000+ 1 4.96602- 4 2.26255- 3 1.00000+ 1 1.30000+ 1 3.85082- 4 2.42731- 3 1.00000+ 1 1.40000+ 1 5.93038- 3 2.43179- 3 1.00000+ 1 1.60000+ 1 1.48721- 3 2.63970- 3 1.00000+ 1 1.80000+ 1 1.75405- 5 2.66765- 3 1.00000+ 1 1.90000+ 1 7.47619- 5 2.67118- 3 1.00000+ 1 2.10000+ 1 2.42238- 5 2.71269- 3 1.00000+ 1 2.20000+ 1 2.65632- 4 2.71305- 3 1.00000+ 1 2.70000+ 1 6.80786- 5 2.71546- 3 1.10000+ 1 1.10000+ 1 5.19582- 4 2.28532- 3 1.10000+ 1 1.30000+ 1 4.96406- 3 2.45008- 3 1.10000+ 1 1.40000+ 1 3.46041- 3 2.45456- 3 1.10000+ 1 1.60000+ 1 2.82346- 3 2.66247- 3 1.10000+ 1 1.80000+ 1 7.47639- 5 2.69042- 3 1.10000+ 1 1.90000+ 1 1.30730- 4 2.69395- 3 1.10000+ 1 2.10000+ 1 2.08832- 4 2.73546- 3 1.10000+ 1 2.20000+ 1 1.48685- 4 2.73582- 3 1.10000+ 1 2.70000+ 1 1.29480- 4 2.73823- 3 1.30000+ 1 1.30000+ 1 8.73332- 4 2.61484- 3 1.30000+ 1 1.40000+ 1 3.45289- 2 2.61932- 3 1.30000+ 1 1.60000+ 1 2.11344- 3 2.82723- 3 1.30000+ 1 1.80000+ 1 8.06089- 5 2.85518- 3 1.30000+ 1 1.90000+ 1 7.73508- 4 2.85871- 3 1.30000+ 1 2.10000+ 1 1.09841- 4 2.90022- 3 1.30000+ 1 2.20000+ 1 1.69186- 3 2.90058- 3 1.30000+ 1 2.70000+ 1 9.64808- 5 2.90299- 3 1.40000+ 1 1.40000+ 1 9.70433- 3 2.62380- 3 1.40000+ 1 1.60000+ 1 3.05559- 3 2.83171- 3 1.40000+ 1 1.80000+ 1 8.77078- 4 2.85966- 3 1.40000+ 1 1.90000+ 1 5.62590- 4 2.86319- 3 1.40000+ 1 2.10000+ 1 1.69574- 3 2.90470- 3 1.40000+ 1 2.20000+ 1 9.83169- 4 2.90506- 3 1.40000+ 1 2.70000+ 1 1.39503- 4 2.90747- 3 1.60000+ 1 1.60000+ 1 1.39503- 4 3.03962- 3 1.60000+ 1 1.80000+ 1 2.37236- 4 3.06757- 3 1.60000+ 1 1.90000+ 1 4.46060- 4 3.07110- 3 1.60000+ 1 2.10000+ 1 1.32814- 4 3.11261- 3 1.60000+ 1 2.20000+ 1 1.90039- 4 3.11297- 3 1.60000+ 1 2.70000+ 1 1.29475- 5 3.11538- 3 1.80000+ 1 1.80000+ 1 9.17714- 7 3.09552- 3 1.80000+ 1 1.90000+ 1 1.23893- 5 3.09905- 3 1.80000+ 1 2.10000+ 1 5.04746- 6 3.14056- 3 1.80000+ 1 2.20000+ 1 4.40493- 5 3.14092- 3 1.80000+ 1 2.70000+ 1 1.19302- 5 3.14333- 3 1.90000+ 1 1.90000+ 1 9.11288- 6 3.10258- 3 1.90000+ 1 2.10000+ 1 3.69078- 5 3.14409- 3 1.90000+ 1 2.20000+ 1 2.68825- 5 3.14445- 3 1.90000+ 1 2.70000+ 1 2.23258- 5 3.14686- 3 2.10000+ 1 2.10000+ 1 3.34133- 6 3.18560- 3 2.10000+ 1 2.20000+ 1 8.22798- 5 3.18596- 3 2.10000+ 1 2.70000+ 1 6.26488- 6 3.18837- 3 2.20000+ 1 2.20000+ 1 2.46420- 5 3.18632- 3 2.20000+ 1 2.70000+ 1 8.77097- 6 3.18873- 3 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 8.21328- 9 1.33100- 4 8.00000+ 0 3.23479- 3 2.39777- 3 1.10000+ 1 3.45399- 5 2.51251- 3 1.30000+ 1 3.76879- 2 2.67727- 3 1.60000+ 1 2.90119- 4 2.88966- 3 1.90000+ 1 1.75319- 6 2.92114- 3 2.10000+ 1 2.11849- 3 2.96265- 3 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.60881- 2 5.09600- 5 6.00000+ 0 1.80000+ 1 5.58635- 2 7.89100- 5 6.00000+ 0 1.90000+ 1 2.07457- 2 8.24400- 5 6.00000+ 0 2.10000+ 1 3.75520- 2 1.23950- 4 6.00000+ 0 2.20000+ 1 1.45000- 2 1.24310- 4 6.00000+ 0 2.70000+ 1 7.00259- 4 1.26720- 4 8.00000+ 0 8.00000+ 0 1.39508- 3 1.82374- 3 8.00000+ 0 1.00000+ 1 3.05545- 2 1.91571- 3 8.00000+ 0 1.10000+ 1 2.90212- 3 1.93848- 3 8.00000+ 0 1.30000+ 1 1.80730- 3 2.10324- 3 8.00000+ 0 1.40000+ 1 4.41046- 3 2.10772- 3 8.00000+ 0 1.60000+ 1 4.14977- 4 2.31563- 3 8.00000+ 0 1.80000+ 1 3.50413- 3 2.34358- 3 8.00000+ 0 1.90000+ 1 4.09513- 4 2.34711- 3 8.00000+ 0 2.10000+ 1 8.46347- 5 2.38862- 3 8.00000+ 0 2.20000+ 1 1.87012- 4 2.38898- 3 8.00000+ 0 2.70000+ 1 1.91107- 5 2.39139- 3 1.00000+ 1 1.00000+ 1 2.93029- 2 2.00768- 3 1.00000+ 1 1.10000+ 1 9.55954- 2 2.03045- 3 1.00000+ 1 1.30000+ 1 5.01954- 2 2.19521- 3 1.00000+ 1 1.40000+ 1 8.92738- 2 2.19969- 3 1.00000+ 1 1.60000+ 1 5.67327- 3 2.40760- 3 1.00000+ 1 1.80000+ 1 8.13431- 3 2.43555- 3 1.00000+ 1 1.90000+ 1 1.48147- 2 2.43908- 3 1.00000+ 1 2.10000+ 1 3.14913- 3 2.48059- 3 1.00000+ 1 2.20000+ 1 5.55582- 3 2.48095- 3 1.00000+ 1 2.70000+ 1 2.74371- 4 2.48336- 3 1.10000+ 1 1.10000+ 1 2.57170- 3 2.05322- 3 1.10000+ 1 1.30000+ 1 6.20049- 2 2.21798- 3 1.10000+ 1 1.40000+ 1 8.42240- 3 2.22246- 3 1.10000+ 1 1.60000+ 1 4.68215- 4 2.43037- 3 1.10000+ 1 1.80000+ 1 1.13458- 2 2.45832- 3 1.10000+ 1 1.90000+ 1 6.79799- 4 2.46185- 3 1.10000+ 1 2.10000+ 1 3.45767- 3 2.50336- 3 1.10000+ 1 2.20000+ 1 4.35443- 4 2.50372- 3 1.10000+ 1 2.70000+ 1 2.18405- 5 2.50613- 3 1.30000+ 1 1.30000+ 1 5.51620- 2 2.38274- 3 1.30000+ 1 1.40000+ 1 2.41435- 1 2.38722- 3 1.30000+ 1 1.60000+ 1 3.45354- 4 2.59513- 3 1.30000+ 1 1.80000+ 1 5.95808- 3 2.62308- 3 1.30000+ 1 1.90000+ 1 9.15253- 3 2.62661- 3 1.30000+ 1 2.10000+ 1 6.12769- 3 2.66812- 3 1.30000+ 1 2.20000+ 1 1.40615- 2 2.66848- 3 1.30000+ 1 2.70000+ 1 1.63807- 5 2.67089- 3 1.40000+ 1 1.40000+ 1 1.14676- 2 2.39170- 3 1.40000+ 1 1.60000+ 1 7.11188- 4 2.59961- 3 1.40000+ 1 1.80000+ 1 9.61406- 3 2.62756- 3 1.40000+ 1 1.90000+ 1 1.14526- 3 2.63109- 3 1.40000+ 1 2.10000+ 1 1.18432- 2 2.67260- 3 1.40000+ 1 2.20000+ 1 1.23546- 3 2.67296- 3 1.40000+ 1 2.70000+ 1 3.41261- 5 2.67537- 3 1.60000+ 1 1.60000+ 1 3.79360- 5 2.80752- 3 1.60000+ 1 1.80000+ 1 8.24268- 4 2.83547- 3 1.60000+ 1 1.90000+ 1 8.44922- 5 2.83900- 3 1.60000+ 1 2.10000+ 1 2.06928- 5 2.88051- 3 1.60000+ 1 2.20000+ 1 3.96596- 5 2.88087- 3 1.60000+ 1 2.70000+ 1 3.44864- 6 2.88328- 3 1.80000+ 1 1.80000+ 1 5.46007- 4 2.86342- 3 1.80000+ 1 1.90000+ 1 1.75816- 3 2.86695- 3 1.80000+ 1 2.10000+ 1 3.69931- 4 2.90846- 3 1.80000+ 1 2.20000+ 1 6.01992- 4 2.90882- 3 1.80000+ 1 2.70000+ 1 3.13957- 5 2.91123- 3 1.90000+ 1 1.90000+ 1 4.50468- 5 2.87048- 3 1.90000+ 1 2.10000+ 1 5.14604- 4 2.91199- 3 1.90000+ 1 2.20000+ 1 6.14278- 5 2.91235- 3 1.90000+ 1 2.70000+ 1 2.73004- 6 2.91476- 3 2.10000+ 1 2.10000+ 1 1.61073- 4 2.95350- 3 2.10000+ 1 2.20000+ 1 6.70210- 4 2.95386- 3 2.10000+ 1 2.70000+ 1 1.36501- 6 2.95627- 3 2.20000+ 1 2.20000+ 1 3.13959- 5 2.95422- 3 2.20000+ 1 2.70000+ 1 1.36503- 6 2.95663- 3 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 5.19990- 3 2.26467- 3 1.00000+ 1 2.31850- 5 2.35664- 3 1.10000+ 1 2.19410- 5 2.37941- 3 1.30000+ 1 3.80980- 3 2.54417- 3 1.40000+ 1 3.38060- 2 2.54865- 3 1.60000+ 1 2.92170- 4 2.75656- 3 1.80000+ 1 8.96430- 7 2.78451- 3 1.90000+ 1 8.55220- 7 2.78804- 3 2.10000+ 1 2.11420- 4 2.82955- 3 2.20000+ 1 1.86530- 3 2.82991- 3 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.70907- 3 1.69064- 3 8.00000+ 0 1.00000+ 1 1.28402- 3 1.78261- 3 8.00000+ 0 1.10000+ 1 3.49492- 2 1.80538- 3 8.00000+ 0 1.30000+ 1 3.34295- 3 1.97014- 3 8.00000+ 0 1.40000+ 1 3.50770- 3 1.97462- 3 8.00000+ 0 1.60000+ 1 5.07409- 4 2.18253- 3 8.00000+ 0 1.80000+ 1 1.76488- 4 2.21048- 3 8.00000+ 0 1.90000+ 1 4.00634- 3 2.21401- 3 8.00000+ 0 2.10000+ 1 1.32366- 4 2.25552- 3 8.00000+ 0 2.20000+ 1 1.30898- 4 2.25588- 3 8.00000+ 0 2.70000+ 1 2.35317- 5 2.25829- 3 1.00000+ 1 1.00000+ 1 4.61806- 4 1.87458- 3 1.00000+ 1 1.10000+ 1 5.75138- 2 1.89735- 3 1.00000+ 1 1.30000+ 1 3.93413- 3 2.06211- 3 1.00000+ 1 1.40000+ 1 3.54105- 2 2.06659- 3 1.00000+ 1 1.60000+ 1 2.02961- 4 2.27450- 3 1.00000+ 1 1.80000+ 1 1.25004- 4 2.30245- 3 1.00000+ 1 1.90000+ 1 6.79774- 3 2.30598- 3 1.00000+ 1 2.10000+ 1 2.35311- 4 2.34749- 3 1.00000+ 1 2.20000+ 1 1.88843- 3 2.34785- 3 1.00000+ 1 2.70000+ 1 1.02948- 5 2.35026- 3 1.10000+ 1 1.10000+ 1 8.26162- 2 1.92012- 3 1.10000+ 1 1.30000+ 1 8.07131- 2 2.08488- 3 1.10000+ 1 1.40000+ 1 1.23549- 1 2.08936- 3 1.10000+ 1 1.60000+ 1 6.43463- 3 2.29727- 3 1.10000+ 1 1.80000+ 1 8.85549- 3 2.32522- 3 1.10000+ 1 1.90000+ 1 2.25610- 2 2.32875- 3 1.10000+ 1 2.10000+ 1 4.93287- 3 2.37026- 3 1.10000+ 1 2.20000+ 1 7.43739- 3 2.37062- 3 1.10000+ 1 2.70000+ 1 3.10330- 4 2.37303- 3 1.30000+ 1 1.30000+ 1 1.13656- 2 2.24964- 3 1.30000+ 1 1.40000+ 1 2.20911- 1 2.25412- 3 1.30000+ 1 1.60000+ 1 5.70674- 4 2.46203- 3 1.30000+ 1 1.80000+ 1 6.01537- 4 2.48998- 3 1.30000+ 1 1.90000+ 1 9.01297- 3 2.49351- 3 1.30000+ 1 2.10000+ 1 1.26925- 3 2.53502- 3 1.30000+ 1 2.20000+ 1 1.09122- 2 2.53538- 3 1.30000+ 1 2.70000+ 1 2.64734- 5 2.53779- 3 1.40000+ 1 1.40000+ 1 1.50346- 1 2.25860- 3 1.40000+ 1 1.60000+ 1 6.33894- 4 2.46651- 3 1.40000+ 1 1.80000+ 1 5.14171- 3 2.49446- 3 1.40000+ 1 1.90000+ 1 1.51435- 2 2.49799- 3 1.40000+ 1 2.10000+ 1 1.24557- 2 2.53950- 3 1.40000+ 1 2.20000+ 1 1.61180- 2 2.53986- 3 1.40000+ 1 2.70000+ 1 3.08860- 5 2.54227- 3 1.60000+ 1 1.60000+ 1 4.71841- 5 2.67442- 3 1.60000+ 1 1.80000+ 1 3.44798- 5 2.70237- 3 1.60000+ 1 1.90000+ 1 9.11021- 4 2.70590- 3 1.60000+ 1 2.10000+ 1 2.90355- 5 2.74741- 3 1.60000+ 1 2.20000+ 1 3.08503- 5 2.74777- 3 1.60000+ 1 2.70000+ 1 3.62944- 6 2.75018- 3 1.80000+ 1 1.80000+ 1 8.82417- 6 2.73032- 3 1.80000+ 1 1.90000+ 1 1.04567- 3 2.73385- 3 1.80000+ 1 2.10000+ 1 3.52971- 5 2.77536- 3 1.80000+ 1 2.20000+ 1 2.79436- 4 2.77572- 3 1.80000+ 1 2.70000+ 1 1.47082- 6 2.77813- 3 1.90000+ 1 1.90000+ 1 1.50311- 3 2.73738- 3 1.90000+ 1 2.10000+ 1 5.51539- 4 2.77889- 3 1.90000+ 1 2.20000+ 1 9.04552- 4 2.77925- 3 1.90000+ 1 2.70000+ 1 3.52982- 5 2.78166- 3 2.10000+ 1 2.10000+ 1 3.38280- 5 2.82040- 3 2.10000+ 1 2.20000+ 1 5.97151- 4 2.82076- 3 2.10000+ 1 2.70000+ 1 1.47084- 6 2.82317- 3 2.20000+ 1 2.20000+ 1 4.13289- 4 2.82112- 3 2.20000+ 1 2.70000+ 1 1.47086- 6 2.82353- 3 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.25823- 5 9.19700- 5 1.10000+ 1 5.03770- 5 1.14740- 4 1.80000+ 1 7.78450- 5 5.19840- 4 1.90000+ 1 1.16501- 4 5.23370- 4 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 5.47452- 2 9.83000- 6 1.00000+ 1 1.80000+ 1 5.33609- 2 3.77800- 5 1.00000+ 1 1.90000+ 1 1.06389- 1 4.13100- 5 1.00000+ 1 2.10000+ 1 2.73247- 2 8.28200- 5 1.00000+ 1 2.20000+ 1 3.52065- 2 8.31800- 5 1.00000+ 1 2.70000+ 1 1.91872- 3 8.55900- 5 1.10000+ 1 1.60000+ 1 8.98216- 2 3.26000- 5 1.10000+ 1 1.80000+ 1 9.65724- 2 6.05500- 5 1.10000+ 1 1.90000+ 1 1.56510- 1 6.40800- 5 1.10000+ 1 2.10000+ 1 2.87301- 2 1.05590- 4 1.10000+ 1 2.20000+ 1 4.35188- 2 1.05950- 4 1.10000+ 1 2.70000+ 1 3.08991- 3 1.08360- 4 1.30000+ 1 1.30000+ 1 6.68986- 3 0.00000+ 0 1.30000+ 1 1.40000+ 1 4.56097- 3 0.00000+ 0 1.30000+ 1 1.60000+ 1 3.53477- 2 1.97360- 4 1.30000+ 1 1.80000+ 1 6.33341- 3 2.25310- 4 1.30000+ 1 1.90000+ 1 4.80685- 3 2.28840- 4 1.30000+ 1 2.10000+ 1 2.93801- 3 2.70350- 4 1.30000+ 1 2.20000+ 1 3.23661- 3 2.70710- 4 1.30000+ 1 2.70000+ 1 9.35459- 4 2.73120- 4 1.40000+ 1 1.40000+ 1 1.32785- 2 0.00000+ 0 1.40000+ 1 1.60000+ 1 5.21360- 2 2.01840- 4 1.40000+ 1 1.80000+ 1 1.92209- 3 2.29790- 4 1.40000+ 1 1.90000+ 1 1.27687- 2 2.33320- 4 1.40000+ 1 2.10000+ 1 3.41768- 3 2.74830- 4 1.40000+ 1 2.20000+ 1 5.74720- 3 2.75190- 4 1.40000+ 1 2.70000+ 1 1.37815- 3 2.77600- 4 1.60000+ 1 1.60000+ 1 1.60762- 2 4.09750- 4 1.60000+ 1 1.80000+ 1 2.35269- 2 4.37700- 4 1.60000+ 1 1.90000+ 1 4.41059- 2 4.41230- 4 1.60000+ 1 2.10000+ 1 1.87407- 2 4.82740- 4 1.60000+ 1 2.20000+ 1 2.71422- 2 4.83100- 4 1.60000+ 1 2.70000+ 1 9.85685- 4 4.85510- 4 1.80000+ 1 1.80000+ 1 1.37512- 3 4.65650- 4 1.80000+ 1 1.90000+ 1 3.34012- 3 4.69180- 4 1.80000+ 1 2.10000+ 1 9.20856- 4 5.10690- 4 1.80000+ 1 2.20000+ 1 2.58485- 4 5.11050- 4 1.80000+ 1 2.70000+ 1 5.83603- 4 5.13460- 4 1.90000+ 1 1.90000+ 1 4.51433- 3 4.72710- 4 1.90000+ 1 2.10000+ 1 6.99321- 4 5.14220- 4 1.90000+ 1 2.20000+ 1 2.14781- 3 5.14580- 4 1.90000+ 1 2.70000+ 1 1.13228- 3 5.16990- 4 2.10000+ 1 2.10000+ 1 9.80220- 5 5.55730- 4 2.10000+ 1 2.20000+ 1 1.99663- 4 5.56090- 4 2.10000+ 1 2.70000+ 1 4.15672- 4 5.58500- 4 2.20000+ 1 2.20000+ 1 1.94212- 4 5.56450- 4 2.20000+ 1 2.70000+ 1 6.00813- 4 5.58860- 4 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.21480- 4 1.87530- 4 1.60000+ 1 1.67910- 4 3.99920- 4 2.10000+ 1 1.76430- 4 4.72910- 4 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.39636- 2 1.36200- 5 1.10000+ 1 2.20000+ 1 3.26396- 2 1.39800- 5 1.10000+ 1 2.70000+ 1 2.86177- 3 1.63900- 5 1.30000+ 1 1.60000+ 1 1.54898- 1 1.05390- 4 1.30000+ 1 1.80000+ 1 1.59905- 1 1.33340- 4 1.30000+ 1 1.90000+ 1 2.45690- 1 1.36870- 4 1.30000+ 1 2.10000+ 1 2.46859- 2 1.78380- 4 1.30000+ 1 2.20000+ 1 2.11038- 2 1.78740- 4 1.30000+ 1 2.70000+ 1 5.57773- 3 1.81150- 4 1.40000+ 1 1.60000+ 1 2.60923- 2 1.09870- 4 1.40000+ 1 1.80000+ 1 2.15457- 1 1.37820- 4 1.40000+ 1 1.90000+ 1 2.29300- 2 1.41350- 4 1.40000+ 1 2.10000+ 1 4.42397- 3 1.82860- 4 1.40000+ 1 2.20000+ 1 3.58231- 3 1.83220- 4 1.40000+ 1 2.70000+ 1 6.94284- 4 1.85630- 4 1.60000+ 1 1.60000+ 1 6.70563- 4 3.17780- 4 1.60000+ 1 1.80000+ 1 1.02794- 2 3.45730- 4 1.60000+ 1 1.90000+ 1 1.62891- 3 3.49260- 4 1.60000+ 1 2.10000+ 1 2.50613- 4 3.90770- 4 1.60000+ 1 2.20000+ 1 4.99516- 4 3.91130- 4 1.60000+ 1 2.70000+ 1 3.89457- 5 3.93540- 4 1.80000+ 1 1.80000+ 1 6.60394- 3 3.73680- 4 1.80000+ 1 1.90000+ 1 2.10610- 2 3.77210- 4 1.80000+ 1 2.10000+ 1 7.73935- 3 4.18720- 4 1.80000+ 1 2.20000+ 1 1.29023- 2 4.19080- 4 1.80000+ 1 2.70000+ 1 3.62371- 4 4.21490- 4 1.90000+ 1 1.90000+ 1 5.46097- 4 3.80740- 4 1.90000+ 1 2.10000+ 1 9.88892- 4 4.22250- 4 1.90000+ 1 2.20000+ 1 6.07883- 4 4.22610- 4 1.90000+ 1 2.70000+ 1 4.40266- 5 4.25020- 4 2.10000+ 1 2.10000+ 1 1.34628- 4 4.63760- 4 2.10000+ 1 2.20000+ 1 2.87015- 4 4.64120- 4 2.10000+ 1 2.70000+ 1 8.46673- 6 4.66530- 4 2.20000+ 1 2.20000+ 1 6.26540- 5 4.64480- 4 2.20000+ 1 2.70000+ 1 1.35469- 5 4.66890- 4 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 3.12591- 5 1.64760- 4 1.40000+ 1 3.09499- 4 1.69240- 4 1.60000+ 1 2.00825- 4 3.77150- 4 2.10000+ 1 2.20755- 5 4.50140- 4 2.20000+ 1 1.82172- 4 4.50500- 4 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 3.11813- 2 8.26200- 5 1.30000+ 1 1.80000+ 1 2.19875- 2 1.10570- 4 1.30000+ 1 1.90000+ 1 1.54834- 1 1.14100- 4 1.30000+ 1 2.10000+ 1 5.94240- 3 1.55610- 4 1.30000+ 1 2.20000+ 1 4.15775- 3 1.55970- 4 1.30000+ 1 2.70000+ 1 9.56295- 4 1.58380- 4 1.40000+ 1 1.60000+ 1 1.48855- 1 8.71000- 5 1.40000+ 1 1.80000+ 1 1.45847- 1 1.15050- 4 1.40000+ 1 1.90000+ 1 3.24884- 1 1.18580- 4 1.40000+ 1 2.10000+ 1 1.71767- 2 1.60090- 4 1.40000+ 1 2.20000+ 1 3.60173- 2 1.60450- 4 1.40000+ 1 2.70000+ 1 5.24708- 3 1.62860- 4 1.60000+ 1 1.60000+ 1 9.08195- 4 2.95010- 4 1.60000+ 1 1.80000+ 1 1.35246- 3 3.22960- 4 1.60000+ 1 1.90000+ 1 2.02308- 2 3.26490- 4 1.60000+ 1 2.10000+ 1 6.09531- 4 3.68000- 4 1.60000+ 1 2.20000+ 1 7.30840- 4 3.68360- 4 1.60000+ 1 2.70000+ 1 5.30664- 5 3.70770- 4 1.80000+ 1 1.80000+ 1 2.18218- 4 3.50910- 4 1.80000+ 1 1.90000+ 1 1.85353- 2 3.54440- 4 1.80000+ 1 2.10000+ 1 3.01744- 4 3.95950- 4 1.80000+ 1 2.20000+ 1 1.34303- 3 3.96310- 4 1.80000+ 1 2.70000+ 1 3.36770- 5 3.98720- 4 1.90000+ 1 1.90000+ 1 2.49553- 2 3.57970- 4 1.90000+ 1 2.10000+ 1 1.34791- 2 3.99480- 4 1.90000+ 1 2.20000+ 1 1.83540- 2 3.99840- 4 1.90000+ 1 2.70000+ 1 5.64420- 4 4.02250- 4 2.10000+ 1 2.10000+ 1 3.54172- 5 4.40990- 4 2.10000+ 1 2.20000+ 1 2.44072- 4 4.41350- 4 2.10000+ 1 2.70000+ 1 7.69966- 6 4.43760- 4 2.20000+ 1 2.20000+ 1 2.00181- 4 4.41710- 4 2.20000+ 1 2.70000+ 1 1.07786- 5 4.44120- 4 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.24441- 4 2.40340- 4 1.90000+ 1 3.91083- 5 2.43870- 4 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 6.15188- 3 1.30250- 4 1.60000+ 1 1.80000+ 1 4.26164- 2 1.58200- 4 1.60000+ 1 1.90000+ 1 4.70108- 2 1.61730- 4 1.60000+ 1 2.10000+ 1 1.66043- 1 2.03240- 4 1.60000+ 1 2.20000+ 1 3.15105- 2 2.03600- 4 1.60000+ 1 2.70000+ 1 2.39689- 4 2.06010- 4 1.80000+ 1 1.80000+ 1 6.23188- 4 1.86150- 4 1.80000+ 1 1.90000+ 1 3.98517- 2 1.89680- 4 1.80000+ 1 2.10000+ 1 1.14991- 1 2.31190- 4 1.80000+ 1 2.20000+ 1 1.09460- 2 2.31550- 4 1.80000+ 1 2.70000+ 1 4.79376- 4 2.33960- 4 1.90000+ 1 1.90000+ 1 1.89194- 2 1.93210- 4 1.90000+ 1 2.10000+ 1 2.57260- 1 2.34720- 4 1.90000+ 1 2.20000+ 1 1.21130- 2 2.35080- 4 1.90000+ 1 2.70000+ 1 7.19075- 4 2.37490- 4 2.10000+ 1 2.10000+ 1 7.12040- 2 2.76230- 4 2.10000+ 1 2.20000+ 1 1.70636- 1 2.76590- 4 2.10000+ 1 2.70000+ 1 5.16141- 3 2.79000- 4 2.20000+ 1 2.20000+ 1 2.70055- 3 2.76950- 4 2.20000+ 1 2.70000+ 1 5.59272- 4 2.79360- 4 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.31790- 4 2.39390- 4 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 7.48891- 3 1.25770- 4 1.60000+ 1 1.80000+ 1 2.81263- 2 1.53720- 4 1.60000+ 1 1.90000+ 1 6.84025- 2 1.57250- 4 1.60000+ 1 2.10000+ 1 2.25608- 2 1.98760- 4 1.60000+ 1 2.20000+ 1 1.73604- 1 1.99120- 4 1.60000+ 1 2.70000+ 1 2.97044- 4 2.01530- 4 1.80000+ 1 1.80000+ 1 3.75241- 4 1.81670- 4 1.80000+ 1 1.90000+ 1 4.14785- 2 1.85200- 4 1.80000+ 1 2.10000+ 1 3.14265- 3 2.26710- 4 1.80000+ 1 2.20000+ 1 1.38026- 1 2.27070- 4 1.80000+ 1 2.70000+ 1 4.37778- 4 2.29480- 4 1.90000+ 1 1.90000+ 1 2.37176- 2 1.88730- 4 1.90000+ 1 2.10000+ 1 1.35716- 2 2.30240- 4 1.90000+ 1 2.20000+ 1 2.33096- 1 2.30600- 4 1.90000+ 1 2.70000+ 1 8.44284- 4 2.33010- 4 2.10000+ 1 2.10000+ 1 1.06323- 3 2.71750- 4 2.10000+ 1 2.20000+ 1 1.15946- 1 2.72110- 4 2.10000+ 1 2.70000+ 1 3.90880- 4 2.74520- 4 2.20000+ 1 2.20000+ 1 1.21978- 1 2.72470- 4 2.20000+ 1 2.70000+ 1 5.22184- 3 2.74880- 4 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.47438- 6 2.79500- 5 1.90000+ 1 9.92755- 6 3.14800- 5 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10000+ 1 6.70551- 2 1.88000- 5 1.80000+ 1 2.20000+ 1 2.18949- 1 1.91600- 5 1.80000+ 1 2.70000+ 1 6.55421- 3 2.15700- 5 1.90000+ 1 2.10000+ 1 3.29463- 1 2.23300- 5 1.90000+ 1 2.20000+ 1 3.38362- 1 2.26900- 5 1.90000+ 1 2.70000+ 1 1.10914- 2 2.51000- 5 2.10000+ 1 2.10000+ 1 4.30165- 4 6.38400- 5 2.10000+ 1 2.20000+ 1 1.77692- 2 6.42000- 5 2.10000+ 1 2.70000+ 1 1.76154- 3 6.66100- 5 2.20000+ 1 2.20000+ 1 5.51706- 3 6.45600- 5 2.20000+ 1 2.70000+ 1 3.03370- 3 6.69700- 5 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 5.54648- 6 4.50400- 5 2.70000+ 1 2.02019- 7 4.78100- 5 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 1.42340- 1 3.58900- 5 2.10000+ 1 2.20000+ 1 8.18265- 1 3.62500- 5 2.10000+ 1 2.70000+ 1 1.15220- 2 3.86600- 5 2.20000+ 1 2.20000+ 1 2.64409- 2 3.66100- 5 2.20000+ 1 2.70000+ 1 1.42599- 3 3.90200- 5 1 44000 0 7 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.42960- 7 4.15100- 5 2.20000+ 1 1.31750- 6 4.18700- 5 2.70000+ 1 6.04329- 8 4.42800- 5 1 44000 0 9 1.01070+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 2.11816- 2 3.23600- 5 2.10000+ 1 2.20000+ 1 6.02397- 1 3.27200- 5 2.10000+ 1 2.70000+ 1 2.71045- 3 3.51300- 5 2.20000+ 1 2.20000+ 1 3.61341- 1 3.30800- 5 2.20000+ 1 2.70000+ 1 1.23680- 2 3.54900- 5 1 45000 0 0 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 3.20000+ 0 2.20000+ 1 4.80000+ 0 2.70000+ 1 1.00000+ 0 1 45000 0 0 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.31910- 2 3.00000+ 0 3.39120- 3 5.00000+ 0 3.15150- 3 6.00000+ 0 3.00450- 3 8.00000+ 0 6.15950- 4 1.00000+ 1 5.20150- 4 1.10000+ 1 4.94660- 4 1.30000+ 1 3.23030- 4 1.40000+ 1 3.17960- 4 1.60000+ 1 8.85200- 5 1.80000+ 1 5.88400- 5 1.90000+ 1 5.47800- 5 2.10000+ 1 1.02400- 5 2.20000+ 1 9.81000- 6 2.70000+ 1 6.56000- 6 1 45000 0 0 1.02905+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.93780- 2 3.00000+ 0 6.20320- 3 5.00000+ 0 6.20750- 3 6.00000+ 0 5.67250- 3 8.00000+ 0 1.70130- 3 1.00000+ 1 1.64090- 3 1.10000+ 1 1.52640- 3 1.30000+ 1 1.40940- 3 1.40000+ 1 1.38180- 3 1.60000+ 1 4.15100- 4 1.80000+ 1 3.57600- 4 1.90000+ 1 3.32130- 4 2.10000+ 1 1.90480- 4 2.20000+ 1 1.85150- 4 2.70000+ 1 3.62900- 5 1 45000 0 0 1.02905+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.72300-10 3.00000+ 0 7.46060-10 5.00000+ 0 6.32530-10 6.00000+ 0 6.58400-10 8.00000+ 0 2.04860- 9 1.00000+ 1 2.00460- 9 1.10000+ 1 2.06020- 9 1.30000+ 1 1.91730- 9 1.40000+ 1 1.93500- 9 1.60000+ 1 5.11270- 9 1.80000+ 1 5.50280- 9 1.90000+ 1 5.66500- 9 2.10000+ 1 7.77340- 9 2.20000+ 1 7.88540- 9 2.70000+ 1 1.76820- 8 1 45000 0 0 1.02905+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.49140- 6 3.00000+ 0 6.01930- 8 5.00000+ 0 9.66940- 8 6.00000+ 0 9.27330- 8 8.00000+ 0 9.78700-10 1.00000+ 1 9.11470-10 1.10000+ 1 8.33840-10 1.30000+ 1 7.26400-11 1.40000+ 1 6.53870-11 1.60000+ 1 2.39810-11 1.80000+ 1 5.11380-11 1.90000+ 1 4.32680-11 1 45000 0 0 1.02905+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.09780- 6 3.00000+ 0 6.54570- 6 5.00000+ 0 1.99750- 6 6.00000+ 0 1.84460- 6 8.00000+ 0 9.85990- 6 1.00000+ 1 3.35130- 6 1.10000+ 1 3.54190- 6 1.30000+ 1 2.08050- 7 1.40000+ 1 2.11780- 7 1.60000+ 1 1.92100- 5 1.80000+ 1 7.41220- 6 1.90000+ 1 7.90460- 6 1 45000 0 0 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.31875- 5 3.00000+ 0 9.69010- 5 5.00000+ 0 7.45507- 5 6.00000+ 0 7.13308- 5 8.00000+ 0 6.42461- 5 1.00000+ 1 5.12759- 5 1.10000+ 1 5.00719- 5 1.30000+ 1 3.07635- 5 1.40000+ 1 3.06937- 5 1.60000+ 1 2.95269- 5 1.80000+ 1 2.00707- 5 1.90000+ 1 1.98602- 5 2.10000+ 1 1.02400- 5 2.20000+ 1 9.81000- 6 2.70000+ 1 6.56000- 6 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.60041- 1 3.00000+ 0 5.13354- 2 5.00000+ 0 5.55519- 2 6.00000+ 0 5.01057- 2 8.00000+ 0 1.17367- 3 1.00000+ 1 1.23492- 3 1.10000+ 1 1.14265- 3 1.30000+ 1 3.57024- 4 1.40000+ 1 3.16850- 4 1.60000+ 1 2.07752- 5 1.80000+ 1 8.91578- 6 1.90000+ 1 2.38919- 6 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.67591- 2 3.00000+ 0 1.36722- 4 5.00000+ 0 1.52916- 4 6.00000+ 0 1.31151- 4 8.00000+ 0 4.04666- 7 1.00000+ 1 3.88789- 7 1.10000+ 1 3.62635- 7 1.30000+ 1 9.27312- 8 1.40000+ 1 8.15531- 8 1.60000+ 1 7.39730-10 1.80000+ 1 4.34232-10 1.90000+ 1 1.07615-10 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.35337+ 0 3.00000+ 0 8.73377+ 0 5.00000+ 0 6.47604+ 0 6.00000+ 0 6.16745+ 0 8.00000+ 0 5.45412+ 0 1.00000+ 1 4.13847+ 0 1.10000+ 1 4.03481+ 0 1.30000+ 1 2.06930+ 0 1.40000+ 1 2.09385+ 0 1.60000+ 1 1.96819+ 0 1.80000+ 1 9.99991- 1 1.90000+ 1 9.99998- 1 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.34871- 3 3.00000+ 0 3.15758- 3 5.00000+ 0 2.92403- 3 6.00000+ 0 2.80202- 3 8.00000+ 0 5.51299- 4 1.00000+ 1 4.68485- 4 1.10000+ 1 4.44225- 4 1.30000+ 1 2.92174- 4 1.40000+ 1 2.87185- 4 1.60000+ 1 5.89923- 5 1.80000+ 1 3.87689- 5 1.90000+ 1 3.49196- 5 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.33320- 1 2.00395- 2 6.00000+ 0 4.41689- 1 2.01865- 2 1.00000+ 1 3.75619- 2 2.26708- 2 1.10000+ 1 7.30379- 2 2.26963- 2 1.30000+ 1 2.24130- 4 2.28680- 2 1.40000+ 1 3.14599- 4 2.28730- 2 1.80000+ 1 7.47039- 3 2.31322- 2 1.90000+ 1 1.44280- 2 2.31362- 2 2.10000+ 1 1.82090- 5 2.31808- 2 2.20000+ 1 2.52660- 5 2.31812- 2 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 1.40181- 2 1.64086- 2 3.00000+ 0 5.00000+ 0 1.60260- 2 1.66483- 2 3.00000+ 0 6.00000+ 0 2.30599- 2 1.67953- 2 3.00000+ 0 8.00000+ 0 4.66856- 3 1.91838- 2 3.00000+ 0 1.00000+ 1 2.80958- 3 1.92796- 2 3.00000+ 0 1.10000+ 1 4.04000- 3 1.93051- 2 3.00000+ 0 1.30000+ 1 2.35954- 4 1.94768- 2 3.00000+ 0 1.40000+ 1 2.81603- 4 1.94818- 2 3.00000+ 0 1.60000+ 1 8.67193- 4 1.97113- 2 3.00000+ 0 1.80000+ 1 4.66162- 4 1.97410- 2 3.00000+ 0 1.90000+ 1 6.64058- 4 1.97450- 2 3.00000+ 0 2.10000+ 1 2.04551- 5 1.97896- 2 3.00000+ 0 2.20000+ 1 2.37830- 5 1.97900- 2 3.00000+ 0 2.70000+ 1 4.04332- 5 1.97932- 2 5.00000+ 0 5.00000+ 0 2.35473- 3 1.68880- 2 5.00000+ 0 6.00000+ 0 5.18704- 2 1.70350- 2 5.00000+ 0 8.00000+ 0 2.21188- 3 1.94235- 2 5.00000+ 0 1.00000+ 1 7.49682- 4 1.95193- 2 5.00000+ 0 1.10000+ 1 7.63938- 3 1.95448- 2 5.00000+ 0 1.30000+ 1 3.00643- 4 1.97165- 2 5.00000+ 0 1.40000+ 1 1.05133- 3 1.97215- 2 5.00000+ 0 1.60000+ 1 3.96727- 4 1.99510- 2 5.00000+ 0 1.80000+ 1 1.22729- 4 1.99807- 2 5.00000+ 0 1.90000+ 1 1.22113- 3 1.99847- 2 5.00000+ 0 2.10000+ 1 2.56871- 5 2.00293- 2 5.00000+ 0 2.20000+ 1 8.80022- 5 2.00297- 2 5.00000+ 0 2.70000+ 1 1.85516- 5 2.00329- 2 6.00000+ 0 6.00000+ 0 2.70248- 2 1.71820- 2 6.00000+ 0 8.00000+ 0 3.16473- 3 1.95705- 2 6.00000+ 0 1.00000+ 1 7.54027- 3 1.96663- 2 6.00000+ 0 1.10000+ 1 8.14957- 3 1.96918- 2 6.00000+ 0 1.30000+ 1 1.27342- 3 1.98635- 2 6.00000+ 0 1.40000+ 1 1.20111- 3 1.98685- 2 6.00000+ 0 1.60000+ 1 5.67493- 4 2.00980- 2 6.00000+ 0 1.80000+ 1 1.21489- 3 2.01277- 2 6.00000+ 0 1.90000+ 1 1.30859- 3 2.01317- 2 6.00000+ 0 2.10000+ 1 1.07987- 4 2.01763- 2 6.00000+ 0 2.20000+ 1 1.00844- 4 2.01767- 2 6.00000+ 0 2.70000+ 1 2.61631- 5 2.01799- 2 8.00000+ 0 8.00000+ 0 3.82932- 4 2.19591- 2 8.00000+ 0 1.00000+ 1 3.91491- 4 2.20549- 2 8.00000+ 0 1.10000+ 1 5.58453- 4 2.20804- 2 8.00000+ 0 1.30000+ 1 3.04445- 5 2.22520- 2 8.00000+ 0 1.40000+ 1 3.56776- 5 2.22571- 2 8.00000+ 0 1.60000+ 1 1.41753- 4 2.24865- 2 8.00000+ 0 1.80000+ 1 6.51694- 5 2.25162- 2 8.00000+ 0 1.90000+ 1 9.18082- 5 2.25203- 2 8.00000+ 0 2.10000+ 1 2.85402- 6 2.25648- 2 8.00000+ 0 2.20000+ 1 2.85402- 6 2.25652- 2 8.00000+ 0 2.70000+ 1 6.65979- 6 2.25685- 2 1.00000+ 1 1.00000+ 1 5.70838- 5 2.21507- 2 1.00000+ 1 1.10000+ 1 1.12601- 3 2.21762- 2 1.00000+ 1 1.30000+ 1 3.42500- 5 2.23478- 2 1.00000+ 1 1.40000+ 1 1.20828- 4 2.23529- 2 1.00000+ 1 1.60000+ 1 7.04046- 5 2.25823- 2 1.00000+ 1 1.80000+ 1 1.85522- 5 2.26120- 2 1.00000+ 1 1.90000+ 1 1.80294- 4 2.26161- 2 1.00000+ 1 2.10000+ 1 2.85410- 6 2.26606- 2 1.00000+ 1 2.20000+ 1 9.98987- 6 2.26610- 2 1.00000+ 1 2.70000+ 1 3.32983- 6 2.26643- 2 1.10000+ 1 1.10000+ 1 6.15562- 4 2.22017- 2 1.10000+ 1 1.30000+ 1 1.52222- 4 2.23733- 2 1.10000+ 1 1.40000+ 1 1.40331- 4 2.23784- 2 1.10000+ 1 1.60000+ 1 1.00377- 4 2.26078- 2 1.10000+ 1 1.80000+ 1 1.81711- 4 2.26375- 2 1.10000+ 1 1.90000+ 1 1.97901- 4 2.26416- 2 1.10000+ 1 2.10000+ 1 1.28440- 5 2.26861- 2 1.10000+ 1 2.20000+ 1 1.18922- 5 2.26865- 2 1.10000+ 1 2.70000+ 1 4.75710- 6 2.26898- 2 1.30000+ 1 1.40000+ 1 1.71250- 5 2.25500- 2 1.30000+ 1 1.60000+ 1 5.23265- 6 2.27794- 2 1.30000+ 1 1.80000+ 1 5.23265- 6 2.28091- 2 1.30000+ 1 1.90000+ 1 2.33088- 5 2.28132- 2 1.30000+ 1 2.20000+ 1 1.42710- 6 2.28582- 2 1.30000+ 1 2.70000+ 1 4.75692- 7 2.28614- 2 1.40000+ 1 1.40000+ 1 4.42844- 6 2.25551- 2 1.40000+ 1 1.60000+ 1 6.39672- 6 2.27845- 2 1.40000+ 1 1.80000+ 1 1.91896- 5 2.28142- 2 1.40000+ 1 1.90000+ 1 2.21438- 5 2.28183- 2 1.40000+ 1 2.10000+ 1 1.47618- 6 2.28628- 2 1.40000+ 1 2.20000+ 1 4.92054- 7 2.28632- 2 1.40000+ 1 2.70000+ 1 4.92054- 7 2.28665- 2 1.60000+ 1 1.60000+ 1 1.37104- 5 2.30140- 2 1.60000+ 1 1.80000+ 1 1.22410- 5 2.30436- 2 1.60000+ 1 1.90000+ 1 1.71381- 5 2.30477- 2 1.60000+ 1 2.10000+ 1 4.89662- 7 2.30922- 2 1.60000+ 1 2.20000+ 1 4.89662- 7 2.30927- 2 1.60000+ 1 2.70000+ 1 1.46900- 6 2.30959- 2 1.80000+ 1 1.80000+ 1 1.41869- 6 2.30733- 2 1.80000+ 1 1.90000+ 1 2.88468- 5 2.30774- 2 1.80000+ 1 2.10000+ 1 4.72889- 7 2.31219- 2 1.80000+ 1 2.20000+ 1 1.41869- 6 2.31223- 2 1.80000+ 1 2.70000+ 1 4.72889- 7 2.31256- 2 1.90000+ 1 1.90000+ 1 1.63242- 5 2.30814- 2 1.90000+ 1 2.10000+ 1 1.97870- 6 2.31260- 2 1.90000+ 1 2.20000+ 1 1.97870- 6 2.31264- 2 1.90000+ 1 2.70000+ 1 9.89359- 7 2.31297- 2 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.51919- 5 2.39700- 4 6.00000+ 0 1.11940- 4 3.86700- 4 1.00000+ 1 2.98569- 3 2.87105- 3 1.10000+ 1 5.03658- 3 2.89654- 3 1.30000+ 1 2.99809- 5 3.06817- 3 1.40000+ 1 4.47098- 5 3.07324- 3 1.80000+ 1 5.10468- 4 3.33236- 3 1.90000+ 1 8.69556- 4 3.33642- 3 2.10000+ 1 1.76879- 6 3.38096- 3 2.20000+ 1 2.63549- 6 3.38139- 3 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 2.28705- 2 1.51180- 4 5.00000+ 0 1.80000+ 1 1.52834- 2 1.80860- 4 5.00000+ 0 1.90000+ 1 2.06177- 2 1.84920- 4 5.00000+ 0 2.10000+ 1 3.30485- 3 2.29460- 4 5.00000+ 0 2.20000+ 1 5.50995- 3 2.29890- 4 5.00000+ 0 2.70000+ 1 1.03629- 3 2.33140- 4 6.00000+ 0 1.30000+ 1 2.54194- 1 6.36700- 5 6.00000+ 0 1.40000+ 1 3.83280- 1 6.87400- 5 6.00000+ 0 1.60000+ 1 3.38292- 2 2.98180- 4 6.00000+ 0 1.80000+ 1 1.46578- 2 3.27860- 4 6.00000+ 0 1.90000+ 1 2.90725- 2 3.31920- 4 6.00000+ 0 2.10000+ 1 1.33494- 2 3.76460- 4 6.00000+ 0 2.20000+ 1 1.75063- 2 3.76890- 4 6.00000+ 0 2.70000+ 1 1.52734- 3 3.80140- 4 8.00000+ 0 8.00000+ 0 5.89687- 3 2.15930- 3 8.00000+ 0 1.00000+ 1 1.15723- 2 2.25510- 3 8.00000+ 0 1.10000+ 1 2.19021- 2 2.28059- 3 8.00000+ 0 1.30000+ 1 1.72305- 2 2.45222- 3 8.00000+ 0 1.40000+ 1 2.47887- 2 2.45729- 3 8.00000+ 0 1.60000+ 1 1.89056- 3 2.68673- 3 8.00000+ 0 1.80000+ 1 1.88686- 3 2.71641- 3 8.00000+ 0 1.90000+ 1 3.53455- 3 2.72047- 3 8.00000+ 0 2.10000+ 1 1.30516- 3 2.76501- 3 8.00000+ 0 2.20000+ 1 1.85558- 3 2.76544- 3 8.00000+ 0 2.70000+ 1 8.64581- 5 2.76869- 3 1.00000+ 1 1.00000+ 1 8.68713- 5 2.35090- 3 1.00000+ 1 1.10000+ 1 4.99819- 4 2.37639- 3 1.00000+ 1 1.30000+ 1 3.99769- 4 2.54802- 3 1.00000+ 1 1.40000+ 1 6.04646- 3 2.55309- 3 1.00000+ 1 1.60000+ 1 1.52164- 3 2.78253- 3 1.00000+ 1 1.80000+ 1 1.68795- 5 2.81221- 3 1.00000+ 1 1.90000+ 1 7.69903- 5 2.81627- 3 1.00000+ 1 2.10000+ 1 3.04667- 5 2.86081- 3 1.00000+ 1 2.20000+ 1 3.21959- 4 2.86124- 3 1.00000+ 1 2.70000+ 1 6.71083- 5 2.86449- 3 1.10000+ 1 1.10000+ 1 5.21238- 4 2.40188- 3 1.10000+ 1 1.30000+ 1 4.97480- 3 2.57351- 3 1.10000+ 1 1.40000+ 1 3.45963- 3 2.57858- 3 1.10000+ 1 1.60000+ 1 2.88160- 3 2.80802- 3 1.10000+ 1 1.80000+ 1 7.69917- 5 2.83770- 3 1.10000+ 1 1.90000+ 1 1.33806- 4 2.84176- 3 1.10000+ 1 2.10000+ 1 2.47440- 4 2.88630- 3 1.10000+ 1 2.20000+ 1 1.75805- 4 2.88673- 3 1.10000+ 1 2.70000+ 1 1.27638- 4 2.88998- 3 1.30000+ 1 1.30000+ 1 8.96292- 4 2.74514- 3 1.30000+ 1 1.40000+ 1 3.50375- 2 2.75021- 3 1.30000+ 1 1.60000+ 1 2.16761- 3 2.97965- 3 1.30000+ 1 1.80000+ 1 8.56352- 5 3.00933- 3 1.30000+ 1 1.90000+ 1 7.94183- 4 3.01339- 3 1.30000+ 1 2.10000+ 1 1.35452- 4 3.05793- 3 1.30000+ 1 2.20000+ 1 2.04368- 3 3.05836- 3 1.30000+ 1 2.70000+ 1 9.55172- 5 3.06161- 3 1.40000+ 1 1.40000+ 1 9.85357- 3 2.75528- 3 1.40000+ 1 1.60000+ 1 3.12887- 3 2.98472- 3 1.40000+ 1 1.80000+ 1 9.13565- 4 3.01440- 3 1.40000+ 1 1.90000+ 1 5.76790- 4 3.01846- 3 1.40000+ 1 2.10000+ 1 2.04903- 3 3.06300- 3 1.40000+ 1 2.20000+ 1 1.19018- 3 3.06343- 3 1.40000+ 1 2.70000+ 1 1.37919- 4 3.06668- 3 1.60000+ 1 1.60000+ 1 1.44926- 4 3.21416- 3 1.60000+ 1 1.80000+ 1 2.48663- 4 3.24384- 3 1.60000+ 1 1.90000+ 1 4.65643- 4 3.24790- 3 1.60000+ 1 2.10000+ 1 1.63857- 4 3.29244- 3 1.60000+ 1 2.20000+ 1 2.33431- 4 3.29287- 3 1.60000+ 1 2.70000+ 1 1.31743- 5 3.29612- 3 1.80000+ 1 1.80000+ 1 8.23404- 7 3.27352- 3 1.80000+ 1 1.90000+ 1 1.19390- 5 3.27758- 3 1.80000+ 1 2.10000+ 1 5.76399- 6 3.32212- 3 1.80000+ 1 2.20000+ 1 4.98169- 5 3.32255- 3 1.80000+ 1 2.70000+ 1 1.11164- 5 3.32580- 3 1.90000+ 1 1.90000+ 1 8.64592- 6 3.28164- 3 1.90000+ 1 2.10000+ 1 4.11721- 5 3.32618- 3 1.90000+ 1 2.20000+ 1 3.00555- 5 3.32661- 3 1.90000+ 1 2.70000+ 1 2.05861- 5 3.32986- 3 2.10000+ 1 2.10000+ 1 4.94054- 6 3.37072- 3 2.10000+ 1 2.20000+ 1 1.21450- 4 3.37115- 3 2.10000+ 1 2.70000+ 1 6.99902- 6 3.37440- 3 2.20000+ 1 2.20000+ 1 3.62299- 5 3.37158- 3 2.20000+ 1 2.70000+ 1 1.02929- 5 3.37483- 3 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.00631- 8 1.47000- 4 8.00000+ 0 3.28632- 3 2.53555- 3 1.10000+ 1 3.65623- 5 2.65684- 3 1.30000+ 1 4.05713- 2 2.82847- 3 1.60000+ 1 3.13132- 4 3.06298- 3 1.90000+ 1 2.03571- 6 3.09672- 3 2.10000+ 1 2.76402- 3 3.14126- 3 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.53610- 2 5.84800- 5 6.00000+ 0 1.80000+ 1 5.49380- 2 8.81600- 5 6.00000+ 0 1.90000+ 1 2.01197- 2 9.22200- 5 6.00000+ 0 2.10000+ 1 4.31731- 2 1.36760- 4 6.00000+ 0 2.20000+ 1 1.65616- 2 1.37190- 4 6.00000+ 0 2.70000+ 1 6.47630- 4 1.40440- 4 8.00000+ 0 8.00000+ 0 1.34075- 3 1.91960- 3 8.00000+ 0 1.00000+ 1 2.96700- 2 2.01540- 3 8.00000+ 0 1.10000+ 1 2.83075- 3 2.04089- 3 8.00000+ 0 1.30000+ 1 1.79237- 3 2.21252- 3 8.00000+ 0 1.40000+ 1 4.29098- 3 2.21759- 3 8.00000+ 0 1.60000+ 1 4.04954- 4 2.44703- 3 8.00000+ 0 1.80000+ 1 3.46676- 3 2.47671- 3 8.00000+ 0 1.90000+ 1 4.08850- 4 2.48077- 3 8.00000+ 0 2.10000+ 1 1.01231- 4 2.52531- 3 8.00000+ 0 2.20000+ 1 2.15458- 4 2.52574- 3 8.00000+ 0 2.70000+ 1 1.81714- 5 2.52899- 3 1.00000+ 1 1.00000+ 1 2.85638- 2 2.11120- 3 1.00000+ 1 1.10000+ 1 9.28095- 2 2.13669- 3 1.00000+ 1 1.30000+ 1 4.90540- 2 2.30832- 3 1.00000+ 1 1.40000+ 1 8.68559- 2 2.31339- 3 1.00000+ 1 1.60000+ 1 5.61616- 3 2.54283- 3 1.00000+ 1 1.80000+ 1 8.10701- 3 2.57251- 3 1.00000+ 1 1.90000+ 1 1.47204- 2 2.57657- 3 1.00000+ 1 2.10000+ 1 3.69919- 3 2.62111- 3 1.00000+ 1 2.20000+ 1 6.49382- 3 2.62154- 3 1.00000+ 1 2.70000+ 1 2.62192- 4 2.62479- 3 1.10000+ 1 1.10000+ 1 2.49202- 3 2.16218- 3 1.10000+ 1 1.30000+ 1 6.04819- 2 2.33381- 3 1.10000+ 1 1.40000+ 1 8.19897- 3 2.33888- 3 1.10000+ 1 1.60000+ 1 4.64660- 4 2.56832- 3 1.10000+ 1 1.80000+ 1 1.12240- 2 2.59800- 3 1.10000+ 1 1.90000+ 1 6.73605- 4 2.60206- 3 1.10000+ 1 2.10000+ 1 4.03527- 3 2.64660- 3 1.10000+ 1 2.20000+ 1 5.07464- 4 2.64703- 3 1.10000+ 1 2.70000+ 1 2.07666- 5 2.65028- 3 1.30000+ 1 1.30000+ 1 5.40295- 2 2.50544- 3 1.30000+ 1 1.40000+ 1 2.35949- 1 2.51051- 3 1.30000+ 1 1.60000+ 1 3.49138- 4 2.73995- 3 1.30000+ 1 1.80000+ 1 5.93517- 3 2.76963- 3 1.30000+ 1 1.90000+ 1 9.12586- 3 2.77369- 3 1.30000+ 1 2.10000+ 1 7.18404- 3 2.81823- 3 1.30000+ 1 2.20000+ 1 1.64625- 2 2.81866- 3 1.30000+ 1 2.70000+ 1 1.68730- 5 2.82191- 3 1.40000+ 1 1.40000+ 1 1.12099- 2 2.51558- 3 1.40000+ 1 1.60000+ 1 7.02168- 4 2.74502- 3 1.40000+ 1 1.80000+ 1 9.51108- 3 2.77470- 3 1.40000+ 1 1.90000+ 1 1.13826- 3 2.77876- 3 1.40000+ 1 2.10000+ 1 1.37891- 2 2.82330- 3 1.40000+ 1 2.20000+ 1 1.44334- 3 2.82373- 3 1.40000+ 1 2.70000+ 1 3.24479- 5 2.82698- 3 1.60000+ 1 1.60000+ 1 3.81470- 5 2.97446- 3 1.60000+ 1 1.80000+ 1 8.40880- 4 3.00414- 3 1.60000+ 1 1.90000+ 1 8.62464- 5 3.00820- 3 1.60000+ 1 2.10000+ 1 2.48782- 5 3.05274- 3 1.60000+ 1 2.20000+ 1 4.64388- 5 3.05317- 3 1.60000+ 1 2.70000+ 1 3.31701- 6 3.05642- 3 1.80000+ 1 1.80000+ 1 5.54455- 4 3.03382- 3 1.80000+ 1 1.90000+ 1 1.77613- 3 3.03788- 3 1.80000+ 1 2.10000+ 1 4.41749- 4 3.08242- 3 1.80000+ 1 2.20000+ 1 7.13801- 4 3.08285- 3 1.80000+ 1 2.70000+ 1 3.10917- 5 3.08610- 3 1.90000+ 1 1.90000+ 1 4.54277- 5 3.04194- 3 1.90000+ 1 2.10000+ 1 6.13937- 4 3.08648- 3 1.90000+ 1 2.20000+ 1 7.26847- 5 3.08691- 3 1.90000+ 1 2.70000+ 1 2.59584- 6 3.09016- 3 2.10000+ 1 2.10000+ 1 2.31031- 4 3.13102- 3 2.10000+ 1 2.20000+ 1 9.55279- 4 3.13145- 3 2.10000+ 1 2.70000+ 1 1.29790- 6 3.13470- 3 2.20000+ 1 2.20000+ 1 4.54274- 5 3.13188- 3 2.20000+ 1 2.70000+ 1 1.29791- 6 3.13513- 3 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 5.39871- 3 2.38855- 3 1.00000+ 1 2.46420- 5 2.48435- 3 1.10000+ 1 2.32790- 5 2.50984- 3 1.30000+ 1 4.09921- 3 2.68147- 3 1.40000+ 1 3.63911- 2 2.68654- 3 1.60000+ 1 3.18650- 4 2.91598- 3 1.80000+ 1 1.03990- 6 2.94566- 3 1.90000+ 1 9.91492- 7 2.94972- 3 2.10000+ 1 2.75470- 4 2.99426- 3 2.20000+ 1 2.42980- 3 2.99469- 3 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.65776- 3 1.77260- 3 8.00000+ 0 1.00000+ 1 1.24265- 3 1.86840- 3 8.00000+ 0 1.10000+ 1 3.40599- 2 1.89389- 3 8.00000+ 0 1.30000+ 1 3.27916- 3 2.06552- 3 8.00000+ 0 1.40000+ 1 3.43624- 3 2.07059- 3 8.00000+ 0 1.60000+ 1 5.00702- 4 2.30003- 3 8.00000+ 0 1.80000+ 1 1.73914- 4 2.32971- 3 8.00000+ 0 1.90000+ 1 3.97198- 3 2.33377- 3 8.00000+ 0 2.10000+ 1 1.52874- 4 2.37831- 3 8.00000+ 0 2.20000+ 1 1.51476- 4 2.37874- 3 8.00000+ 0 2.70000+ 1 2.24403- 5 2.38199- 3 1.00000+ 1 1.00000+ 1 4.43206- 4 1.96420- 3 1.00000+ 1 1.10000+ 1 5.61630- 2 1.98969- 3 1.00000+ 1 1.30000+ 1 3.85847- 3 2.16132- 3 1.00000+ 1 1.40000+ 1 3.46732- 2 2.16639- 3 1.00000+ 1 1.60000+ 1 2.00558- 4 2.39583- 3 1.00000+ 1 1.80000+ 1 1.22018- 4 2.42551- 3 1.00000+ 1 1.90000+ 1 6.75739- 3 2.42957- 3 1.00000+ 1 2.10000+ 1 2.76301- 4 2.47411- 3 1.00000+ 1 2.20000+ 1 2.20620- 3 2.47454- 3 1.00000+ 1 2.70000+ 1 9.81789- 6 2.47779- 3 1.10000+ 1 1.10000+ 1 8.05189- 2 2.01518- 3 1.10000+ 1 1.30000+ 1 7.92456- 2 2.18681- 3 1.10000+ 1 1.40000+ 1 1.21241- 1 2.19188- 3 1.10000+ 1 1.60000+ 1 6.39150- 3 2.42132- 3 1.10000+ 1 1.80000+ 1 8.85277- 3 2.45100- 3 1.10000+ 1 1.90000+ 1 2.24488- 2 2.45506- 3 1.10000+ 1 2.10000+ 1 5.81530- 3 2.49960- 3 1.10000+ 1 2.20000+ 1 8.74931- 3 2.50003- 3 1.10000+ 1 2.70000+ 1 2.97346- 4 2.50328- 3 1.30000+ 1 1.30000+ 1 1.12322- 2 2.35844- 3 1.30000+ 1 1.40000+ 1 2.17995- 1 2.36351- 3 1.30000+ 1 1.60000+ 1 5.69462- 4 2.59295- 3 1.30000+ 1 1.80000+ 1 6.04513- 4 2.62263- 3 1.30000+ 1 1.90000+ 1 8.99759- 3 2.62669- 3 1.30000+ 1 2.10000+ 1 1.50220- 3 2.67123- 3 1.30000+ 1 2.20000+ 1 1.28230- 2 2.67166- 3 1.30000+ 1 2.70000+ 1 2.66476- 5 2.67491- 3 1.40000+ 1 1.40000+ 1 1.48345- 1 2.36858- 3 1.40000+ 1 1.60000+ 1 6.33963- 4 2.59802- 3 1.40000+ 1 1.80000+ 1 5.14748- 3 2.62770- 3 1.40000+ 1 1.90000+ 1 1.51440- 2 2.63176- 3 1.40000+ 1 2.10000+ 1 1.47116- 2 2.67630- 3 1.40000+ 1 2.20000+ 1 1.89988- 2 2.67673- 3 1.40000+ 1 2.70000+ 1 2.94542- 5 2.67998- 3 1.60000+ 1 1.60000+ 1 4.76311- 5 2.82746- 3 1.60000+ 1 1.80000+ 1 3.52808- 5 2.85714- 3 1.60000+ 1 1.90000+ 1 9.40235- 4 2.86120- 3 1.60000+ 1 2.10000+ 1 3.52808- 5 2.90574- 3 1.60000+ 1 2.20000+ 1 3.70455- 5 2.90617- 3 1.60000+ 1 2.70000+ 1 3.52808- 6 2.90942- 3 1.80000+ 1 1.80000+ 1 8.40472- 6 2.88682- 3 1.80000+ 1 1.90000+ 1 1.06318- 3 2.89088- 3 1.80000+ 1 2.10000+ 1 4.20245- 5 2.93542- 3 1.80000+ 1 2.20000+ 1 3.33396- 4 2.93585- 3 1.80000+ 1 2.70000+ 1 1.40078- 6 2.93910- 3 1.90000+ 1 1.90000+ 1 1.52597- 3 2.89494- 3 1.90000+ 1 2.10000+ 1 6.60587- 4 2.93948- 3 1.90000+ 1 2.20000+ 1 1.08418- 3 2.93991- 3 1.90000+ 1 2.70000+ 1 3.50640- 5 2.94316- 3 2.10000+ 1 2.10000+ 1 4.76860- 5 2.98402- 3 2.10000+ 1 2.20000+ 1 8.58363- 4 2.98445- 3 2.10000+ 1 2.70000+ 1 1.40253- 6 2.98770- 3 2.20000+ 1 2.20000+ 1 5.94658- 4 2.98488- 3 2.20000+ 1 2.70000+ 1 1.40251- 6 2.98813- 3 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.20313- 5 9.58000- 5 1.10000+ 1 5.04302- 5 1.21290- 4 1.80000+ 1 8.50343- 5 5.57110- 4 1.90000+ 1 1.26055- 4 5.61170- 4 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 5.31769- 2 7.28000- 6 1.00000+ 1 1.80000+ 1 5.37396- 2 3.69600- 5 1.00000+ 1 1.90000+ 1 1.05777- 1 4.10200- 5 1.00000+ 1 2.10000+ 1 3.43503- 2 8.55600- 5 1.00000+ 1 2.20000+ 1 4.45999- 2 8.59900- 5 1.00000+ 1 2.70000+ 1 1.83528- 3 8.92400- 5 1.10000+ 1 1.60000+ 1 8.66817- 2 3.27700- 5 1.10000+ 1 1.80000+ 1 9.42671- 2 6.24500- 5 1.10000+ 1 1.90000+ 1 1.52107- 1 6.65100- 5 1.10000+ 1 2.10000+ 1 3.46942- 2 1.11050- 4 1.10000+ 1 2.20000+ 1 5.21901- 2 1.11480- 4 1.10000+ 1 2.70000+ 1 2.88782- 3 1.14730- 4 1.30000+ 1 1.60000+ 1 3.46321- 2 2.04400- 4 1.30000+ 1 1.80000+ 1 6.34697- 3 2.34080- 4 1.30000+ 1 1.90000+ 1 4.80641- 3 2.38140- 4 1.30000+ 1 2.10000+ 1 3.63526- 3 2.82680- 4 1.30000+ 1 2.20000+ 1 4.07245- 3 2.83110- 4 1.30000+ 1 2.70000+ 1 8.76538- 4 2.86360- 4 1.40000+ 1 1.60000+ 1 5.10368- 2 2.09470- 4 1.40000+ 1 1.80000+ 1 1.88241- 3 2.39150- 4 1.40000+ 1 1.90000+ 1 1.27379- 2 2.43210- 4 1.40000+ 1 2.10000+ 1 4.30661- 3 2.87750- 4 1.40000+ 1 2.20000+ 1 7.14070- 3 2.88180- 4 1.40000+ 1 2.70000+ 1 1.29020- 3 2.91430- 4 1.60000+ 1 1.60000+ 1 1.52102- 2 4.38910- 4 1.60000+ 1 1.80000+ 1 2.25033- 2 4.68590- 4 1.60000+ 1 1.90000+ 1 4.20478- 2 4.72650- 4 1.60000+ 1 2.10000+ 1 2.14950- 2 5.17190- 4 1.60000+ 1 2.20000+ 1 3.11012- 2 5.17620- 4 1.60000+ 1 2.70000+ 1 8.91826- 4 5.20870- 4 1.80000+ 1 1.80000+ 1 1.35187- 3 4.98270- 4 1.80000+ 1 1.90000+ 1 3.26645- 3 5.02330- 4 1.80000+ 1 2.10000+ 1 1.07727- 3 5.46870- 4 1.80000+ 1 2.20000+ 1 3.01495- 4 5.47300- 4 1.80000+ 1 2.70000+ 1 5.54979- 4 5.50550- 4 1.90000+ 1 1.90000+ 1 4.40594- 3 5.06390- 4 1.90000+ 1 2.10000+ 1 8.24497- 4 5.50930- 4 1.90000+ 1 2.20000+ 1 2.52861- 3 5.51360- 4 1.90000+ 1 2.70000+ 1 1.06261- 3 5.54610- 4 2.10000+ 1 2.10000+ 1 1.56089- 4 5.95470- 4 2.10000+ 1 2.20000+ 1 3.27040- 4 5.95900- 4 2.10000+ 1 2.70000+ 1 5.07276- 4 5.99150- 4 2.20000+ 1 2.20000+ 1 3.08442- 4 5.96330- 4 2.20000+ 1 2.70000+ 1 7.33952- 4 5.99580- 4 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.30419- 4 1.97120- 4 1.60000+ 1 1.83780- 4 4.31630- 4 2.10000+ 1 2.46989- 4 5.09910- 4 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.59092- 2 1.52500- 5 1.10000+ 1 2.20000+ 1 3.69983- 2 1.56800- 5 1.10000+ 1 2.70000+ 1 2.68436- 3 1.89300- 5 1.30000+ 1 1.60000+ 1 1.51846- 1 1.08600- 4 1.30000+ 1 1.80000+ 1 1.56294- 1 1.38280- 4 1.30000+ 1 1.90000+ 1 2.39452- 1 1.42340- 4 1.30000+ 1 2.10000+ 1 2.98106- 2 1.86880- 4 1.30000+ 1 2.20000+ 1 2.63906- 2 1.87310- 4 1.30000+ 1 2.70000+ 1 5.25605- 3 1.90560- 4 1.40000+ 1 1.60000+ 1 2.57883- 2 1.13670- 4 1.40000+ 1 1.80000+ 1 2.07833- 1 1.43350- 4 1.40000+ 1 1.90000+ 1 2.21325- 2 1.47410- 4 1.40000+ 1 2.10000+ 1 4.67775- 3 1.91950- 4 1.40000+ 1 2.20000+ 1 4.25590- 3 1.92380- 4 1.40000+ 1 2.70000+ 1 6.52233- 4 1.95630- 4 1.60000+ 1 1.60000+ 1 6.74131- 4 3.43110- 4 1.60000+ 1 1.80000+ 1 1.01607- 2 3.72790- 4 1.60000+ 1 1.90000+ 1 1.62169- 3 3.76850- 4 1.60000+ 1 2.10000+ 1 2.79067- 4 4.21390- 4 1.60000+ 1 2.20000+ 1 5.83268- 4 4.21820- 4 1.60000+ 1 2.70000+ 1 3.81284- 5 4.25070- 4 1.80000+ 1 1.80000+ 1 6.59621- 3 4.02470- 4 1.80000+ 1 1.90000+ 1 2.09539- 2 4.06530- 4 1.80000+ 1 2.10000+ 1 9.28133- 3 4.51070- 4 1.80000+ 1 2.20000+ 1 1.54305- 2 4.51500- 4 1.80000+ 1 2.70000+ 1 3.43956- 4 4.54750- 4 1.90000+ 1 1.90000+ 1 5.48428- 4 4.10590- 4 1.90000+ 1 2.10000+ 1 1.15239- 3 4.55130- 4 1.90000+ 1 2.20000+ 1 7.24172- 4 4.55560- 4 1.90000+ 1 2.70000+ 1 4.25032- 5 4.58810- 4 2.10000+ 1 2.10000+ 1 1.99567- 4 4.99670- 4 2.10000+ 1 2.20000+ 1 4.11298- 4 5.00100- 4 2.10000+ 1 2.70000+ 1 8.92363- 6 5.03350- 4 2.20000+ 1 2.20000+ 1 9.41070- 5 5.00530- 4 2.20000+ 1 2.70000+ 1 1.46028- 5 5.03780- 4 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 3.09382- 5 1.71630- 4 1.40000+ 1 3.08773- 4 1.76700- 4 1.60000+ 1 2.20372- 4 4.06140- 4 2.10000+ 1 3.07828- 5 4.84420- 4 2.20000+ 1 2.53794- 4 4.84850- 4 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 3.07273- 2 8.31100- 5 1.30000+ 1 1.80000+ 1 2.16320- 2 1.12790- 4 1.30000+ 1 1.90000+ 1 1.49041- 1 1.16850- 4 1.30000+ 1 2.10000+ 1 7.17786- 3 1.61390- 4 1.30000+ 1 2.20000+ 1 4.92196- 3 1.61820- 4 1.30000+ 1 2.70000+ 1 8.97420- 4 1.65070- 4 1.40000+ 1 1.60000+ 1 1.45931- 1 8.81800- 5 1.40000+ 1 1.80000+ 1 1.43687- 1 1.17860- 4 1.40000+ 1 1.90000+ 1 3.15229- 1 1.21920- 4 1.40000+ 1 2.10000+ 1 2.18203- 2 1.66460- 4 1.40000+ 1 2.20000+ 1 4.39642- 2 1.66890- 4 1.40000+ 1 2.70000+ 1 4.94092- 3 1.70140- 4 1.60000+ 1 1.60000+ 1 9.28450- 4 3.17620- 4 1.60000+ 1 1.80000+ 1 1.37056- 3 3.47300- 4 1.60000+ 1 1.90000+ 1 2.02924- 2 3.51360- 4 1.60000+ 1 2.10000+ 1 7.14744- 4 3.95900- 4 1.60000+ 1 2.20000+ 1 8.42972- 4 3.96330- 4 1.60000+ 1 2.70000+ 1 5.15792- 5 3.99580- 4 1.80000+ 1 1.80000+ 1 2.16748- 4 3.76980- 4 1.80000+ 1 1.90000+ 1 1.85876- 2 3.81040- 4 1.80000+ 1 2.10000+ 1 3.50427- 4 4.25580- 4 1.80000+ 1 2.20000+ 1 1.60155- 3 4.26010- 4 1.80000+ 1 2.70000+ 1 3.24455- 5 4.29260- 4 1.90000+ 1 1.90000+ 1 2.48396- 2 3.85100- 4 1.90000+ 1 2.10000+ 1 1.61512- 2 4.29640- 4 1.90000+ 1 2.20000+ 1 2.19490- 2 4.30070- 4 1.90000+ 1 2.70000+ 1 5.35511- 4 4.33320- 4 2.10000+ 1 2.10000+ 1 5.20581- 5 4.74180- 4 2.10000+ 1 2.20000+ 1 3.58528- 4 4.74610- 4 2.10000+ 1 2.70000+ 1 8.79845- 6 4.77860- 4 2.20000+ 1 2.20000+ 1 2.90345- 4 4.75040- 4 2.20000+ 1 2.70000+ 1 1.17313- 5 4.78290- 4 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.97659- 4 2.64190- 4 1.90000+ 1 5.13589- 5 2.68250- 4 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 3.69993- 3 1.45990- 4 1.60000+ 1 1.80000+ 1 3.02673- 2 1.75670- 4 1.60000+ 1 1.90000+ 1 3.26204- 2 1.79730- 4 1.60000+ 1 2.10000+ 1 1.61397- 1 2.24270- 4 1.60000+ 1 2.20000+ 1 2.96914- 2 2.24700- 4 1.60000+ 1 2.70000+ 1 1.43817- 4 2.27950- 4 1.80000+ 1 1.80000+ 1 9.28305- 4 2.05350- 4 1.80000+ 1 1.90000+ 1 3.44769- 2 2.09410- 4 1.80000+ 1 2.10000+ 1 1.13269- 1 2.53950- 4 1.80000+ 1 2.20000+ 1 1.04850- 2 2.54380- 4 1.80000+ 1 2.70000+ 1 3.39929- 4 2.57630- 4 1.90000+ 1 1.90000+ 1 1.57808- 2 2.13470- 4 1.90000+ 1 2.10000+ 1 2.53187- 1 2.58010- 4 1.90000+ 1 2.20000+ 1 1.15319- 2 2.58440- 4 1.90000+ 1 2.70000+ 1 5.09897- 4 2.61690- 4 2.10000+ 1 2.10000+ 1 9.04231- 2 3.02550- 4 2.10000+ 1 2.20000+ 1 2.02219- 1 3.02980- 4 2.10000+ 1 2.70000+ 1 4.83760- 3 3.06230- 4 2.20000+ 1 2.20000+ 1 3.33181- 3 3.03410- 4 2.20000+ 1 2.70000+ 1 5.11578- 4 3.06660- 4 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.08647- 4 2.63180- 4 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 4.66266- 3 1.40920- 4 1.60000+ 1 1.80000+ 1 1.97169- 2 1.70600- 4 1.60000+ 1 1.90000+ 1 4.84746- 2 1.74660- 4 1.60000+ 1 2.10000+ 1 2.14248- 2 2.19200- 4 1.60000+ 1 2.20000+ 1 1.69159- 1 2.19630- 4 1.60000+ 1 2.70000+ 1 1.79829- 4 2.22880- 4 1.80000+ 1 1.80000+ 1 2.18362- 4 2.00280- 4 1.80000+ 1 1.90000+ 1 3.55542- 2 2.04340- 4 1.80000+ 1 2.10000+ 1 2.87722- 3 2.48880- 4 1.80000+ 1 2.20000+ 1 1.36750- 1 2.49310- 4 1.80000+ 1 2.70000+ 1 3.08282- 4 2.52560- 4 1.90000+ 1 1.90000+ 1 2.12839- 2 2.08400- 4 1.90000+ 1 2.10000+ 1 1.31909- 2 2.52940- 4 1.90000+ 1 2.20000+ 1 2.29789- 1 2.53370- 4 1.90000+ 1 2.70000+ 1 6.03707- 4 2.56620- 4 2.10000+ 1 2.10000+ 1 1.33593- 3 2.97480- 4 2.10000+ 1 2.20000+ 1 1.38113- 1 2.97910- 4 2.10000+ 1 2.70000+ 1 3.59659- 4 3.01160- 4 2.20000+ 1 2.20000+ 1 1.50782- 1 2.98340- 4 2.20000+ 1 2.70000+ 1 4.90659- 3 3.01590- 4 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 4.31159- 6 2.96800- 5 1.90000+ 1 1.23020- 5 3.37400- 5 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10000+ 1 6.38079- 2 1.94400- 5 1.80000+ 1 2.20000+ 1 2.13853- 1 1.98700- 5 1.80000+ 1 2.70000+ 1 5.53834- 3 2.31200- 5 1.90000+ 1 2.10000+ 1 3.30715- 1 2.35000- 5 1.90000+ 1 2.20000+ 1 3.45059- 1 2.39300- 5 1.90000+ 1 2.70000+ 1 9.22458- 3 2.71800- 5 2.10000+ 1 2.10000+ 1 5.39954- 4 6.80400- 5 2.10000+ 1 2.20000+ 1 2.03302- 2 6.84700- 5 2.10000+ 1 2.70000+ 1 1.72476- 3 7.17200- 5 2.20000+ 1 2.20000+ 1 6.33348- 3 6.89000- 5 2.20000+ 1 2.70000+ 1 2.85779- 3 7.21500- 5 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 8.66423- 6 4.86000- 5 2.70000+ 1 2.51551- 7 5.22800- 5 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 1.51600- 1 3.83600- 5 2.10000+ 1 2.20000+ 1 8.11220- 1 3.87900- 5 2.10000+ 1 2.70000+ 1 8.91290- 3 4.20400- 5 2.20000+ 1 2.20000+ 1 2.72398- 2 3.92200- 5 2.20000+ 1 2.70000+ 1 1.01829- 3 4.24700- 5 1 45000 0 7 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.24979- 7 4.45400- 5 2.20000+ 1 2.08120- 6 4.49700- 5 2.70000+ 1 8.30148- 8 4.82200- 5 1 45000 0 9 1.02905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 2.22881- 2 3.43000- 5 2.10000+ 1 2.20000+ 1 5.98671- 1 3.47300- 5 2.10000+ 1 2.70000+ 1 2.02961- 3 3.79800- 5 2.20000+ 1 2.20000+ 1 3.67592- 1 3.51600- 5 2.20000+ 1 2.70000+ 1 9.41667- 3 3.84100- 5 1 46000 0 0 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 1 46000 0 0 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.43210- 2 3.00000+ 0 3.58000- 3 5.00000+ 0 3.33260- 3 6.00000+ 0 3.17060- 3 8.00000+ 0 6.54940- 4 1.00000+ 1 5.55250- 4 1.10000+ 1 5.26800- 4 1.30000+ 1 3.48240- 4 1.40000+ 1 3.42510- 4 1.60000+ 1 9.10100- 5 1.80000+ 1 5.96800- 5 1.90000+ 1 5.50900- 5 2.10000+ 1 8.14000- 6 2.20000+ 1 7.67000- 6 1 46000 0 0 1.06400+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.08330- 2 3.00000+ 0 6.53950- 3 5.00000+ 0 6.54470- 3 6.00000+ 0 5.95550- 3 8.00000+ 0 1.81020- 3 1.00000+ 1 1.74880- 3 1.10000+ 1 1.62190- 3 1.30000+ 1 1.50410- 3 1.40000+ 1 1.47340- 3 1.60000+ 1 4.47180- 4 1.80000+ 1 3.86230- 4 1.90000+ 1 3.56960- 4 2.10000+ 1 1.98860- 4 2.20000+ 1 1.92050- 4 1 46000 0 0 1.06400+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.68250-10 3.00000+ 0 7.27140-10 5.00000+ 0 6.16310-10 6.00000+ 0 6.42180-10 8.00000+ 0 1.98950- 9 1.00000+ 1 1.94320- 9 1.10000+ 1 1.99910- 9 1.30000+ 1 1.85240- 9 1.40000+ 1 1.87020- 9 1.60000+ 1 4.94670- 9 1.80000+ 1 5.31350- 9 1.90000+ 1 5.47960- 9 2.10000+ 1 7.77720- 9 2.20000+ 1 7.93940- 9 1 46000 0 0 1.06400+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.93970- 6 3.00000+ 0 6.76690- 8 5.00000+ 0 1.10480- 7 6.00000+ 0 1.05680- 7 8.00000+ 0 1.13590- 9 1.00000+ 1 1.09290- 9 1.10000+ 1 1.00850- 9 1.30000+ 1 8.48310-11 1.40000+ 1 7.58270-11 1.60000+ 1 2.68880-11 1.80000+ 1 6.81910-11 1.90000+ 1 5.65260-11 1 46000 0 0 1.06400+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.11490- 6 3.00000+ 0 6.19190- 6 5.00000+ 0 2.09200- 6 6.00000+ 0 1.92620- 6 8.00000+ 0 1.04630- 5 1.00000+ 1 3.47360- 6 1.10000+ 1 3.68670- 6 1.30000+ 1 2.60910- 7 1.40000+ 1 2.63280- 7 1.60000+ 1 2.17860- 5 1.80000+ 1 1.12900- 5 1.90000+ 1 1.19990- 5 1 46000 0 0 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.23532- 5 3.00000+ 0 7.32151- 5 5.00000+ 0 5.66283- 5 6.00000+ 0 5.40319- 5 8.00000+ 0 4.95507- 5 1.00000+ 1 3.95341- 5 1.10000+ 1 3.84322- 5 1.30000+ 1 2.34252- 5 1.40000+ 1 2.32412- 5 1.60000+ 1 2.32868- 5 1.80000+ 1 1.58742- 5 1.90000+ 1 1.56416- 5 2.10000+ 1 8.14000- 6 2.20000+ 1 7.67000- 6 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.76494- 1 3.00000+ 0 5.58903- 2 5.00000+ 0 6.04673- 2 6.00000+ 0 5.42565- 2 8.00000+ 0 1.36370- 3 1.00000+ 1 1.43949- 3 1.10000+ 1 1.33730- 3 1.30000+ 1 4.63218- 4 1.40000+ 1 4.13132- 4 1.60000+ 1 2.62775- 5 1.80000+ 1 1.31540- 5 1.90000+ 1 3.57109- 6 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.78502- 2 3.00000+ 0 1.57035- 4 5.00000+ 0 1.75583- 4 6.00000+ 0 1.49505- 4 8.00000+ 0 5.13115- 7 1.00000+ 1 5.01315- 7 1.10000+ 1 4.69467- 7 1.30000+ 1 1.31639- 7 1.40000+ 1 1.16359- 7 1.60000+ 1 1.00356- 9 1.80000+ 1 6.77958-10 1.90000+ 1 1.69177-10 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.93316+ 0 3.00000+ 0 8.31955+ 0 5.00000+ 0 6.19032+ 0 6.00000+ 0 5.88175+ 0 8.00000+ 0 5.30251+ 0 1.00000+ 1 4.01278+ 0 1.10000+ 1 3.89856+ 0 1.30000+ 1 1.95277+ 0 1.40000+ 1 1.97514+ 0 1.60000+ 1 1.96364+ 0 1.80000+ 1 9.99987- 1 1.90000+ 1 9.99996- 1 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.40845- 3 3.00000+ 0 3.34975- 3 5.00000+ 0 3.10039- 3 6.00000+ 0 2.96706- 3 8.00000+ 0 6.04876- 4 1.00000+ 1 5.15215- 4 1.10000+ 1 4.87898- 4 1.30000+ 1 3.24683- 4 1.40000+ 1 3.19152- 4 1.60000+ 1 6.77222- 5 1.80000+ 1 4.38051- 5 1.90000+ 1 3.94482- 5 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.36740- 1 2.09884- 2 6.00000+ 0 4.47191- 1 2.11504- 2 1.00000+ 1 3.85201- 2 2.37657- 2 1.10000+ 1 7.48661- 2 2.37942- 2 1.30000+ 1 2.44900- 4 2.39728- 2 1.40000+ 1 3.42670- 4 2.39785- 2 1.80000+ 1 7.78411- 3 2.42613- 2 1.90000+ 1 1.50840- 2 2.42659- 2 2.10000+ 1 2.43940- 5 2.43129- 2 2.20000+ 1 3.35390- 5 2.43133- 2 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 1.32067- 2 1.71610- 2 3.00000+ 0 5.00000+ 0 1.51653- 2 1.74084- 2 3.00000+ 0 6.00000+ 0 2.14310- 2 1.75704- 2 3.00000+ 0 8.00000+ 0 4.44130- 3 2.00861- 2 3.00000+ 0 1.00000+ 1 2.69097- 3 2.01857- 2 3.00000+ 0 1.10000+ 1 3.80518- 3 2.02142- 2 3.00000+ 0 1.30000+ 1 2.26511- 4 2.03928- 2 3.00000+ 0 1.40000+ 1 2.67608- 4 2.03985- 2 3.00000+ 0 1.60000+ 1 8.34318- 4 2.06500- 2 3.00000+ 0 1.80000+ 1 4.52146- 4 2.06813- 2 3.00000+ 0 1.90000+ 1 6.31431- 4 2.06859- 2 3.00000+ 0 2.10000+ 1 2.40502- 5 2.07329- 2 3.00000+ 0 2.20000+ 1 2.75488- 5 2.07333- 2 5.00000+ 0 5.00000+ 0 2.18914- 3 1.76558- 2 5.00000+ 0 6.00000+ 0 4.79880- 2 1.78178- 2 5.00000+ 0 8.00000+ 0 2.11248- 3 2.03335- 2 5.00000+ 0 1.00000+ 1 7.04457- 4 2.04331- 2 5.00000+ 0 1.10000+ 1 7.15354- 3 2.04616- 2 5.00000+ 0 1.30000+ 1 2.87284- 4 2.06402- 2 5.00000+ 0 1.40000+ 1 9.98738- 4 2.06459- 2 5.00000+ 0 1.60000+ 1 3.83061- 4 2.08974- 2 5.00000+ 0 1.80000+ 1 1.16754- 4 2.09287- 2 5.00000+ 0 1.90000+ 1 1.15353- 3 2.09333- 2 5.00000+ 0 2.10000+ 1 2.97355- 5 2.09803- 2 5.00000+ 0 2.20000+ 1 1.02326- 4 2.09807- 2 6.00000+ 0 6.00000+ 0 2.48907- 2 1.79798- 2 6.00000+ 0 8.00000+ 0 2.96417- 3 2.04955- 2 6.00000+ 0 1.00000+ 1 7.05148- 3 2.05951- 2 6.00000+ 0 1.10000+ 1 7.60023- 3 2.06236- 2 6.00000+ 0 1.30000+ 1 1.20771- 3 2.08022- 2 6.00000+ 0 1.40000+ 1 1.13601- 3 2.08079- 2 6.00000+ 0 1.60000+ 1 5.36976- 4 2.10594- 2 6.00000+ 0 1.80000+ 1 1.14914- 3 2.10907- 2 6.00000+ 0 1.90000+ 1 1.23135- 3 2.10953- 2 6.00000+ 0 2.10000+ 1 1.25937- 4 2.11423- 2 6.00000+ 0 2.20000+ 1 1.16315- 4 2.11427- 2 8.00000+ 0 8.00000+ 0 3.67747- 4 2.30111- 2 8.00000+ 0 1.00000+ 1 3.78246- 4 2.31108- 2 8.00000+ 0 1.10000+ 1 5.30426- 4 2.31393- 2 8.00000+ 0 1.30000+ 1 2.97355- 5 2.33178- 2 8.00000+ 0 1.40000+ 1 3.41070- 5 2.33235- 2 8.00000+ 0 1.60000+ 1 1.37741- 4 2.35750- 2 8.00000+ 0 1.80000+ 1 6.38444- 5 2.36064- 2 8.00000+ 0 1.90000+ 1 8.78949- 5 2.36110- 2 8.00000+ 0 2.10000+ 1 3.06092- 6 2.36579- 2 8.00000+ 0 2.20000+ 1 3.49826- 6 2.36584- 2 1.00000+ 1 1.00000+ 1 5.42214- 5 2.32105- 2 1.00000+ 1 1.10000+ 1 1.06604- 3 2.32389- 2 1.00000+ 1 1.30000+ 1 3.27946- 5 2.34175- 2 1.00000+ 1 1.40000+ 1 1.15875- 4 2.34232- 2 1.00000+ 1 1.60000+ 1 6.86507- 5 2.36747- 2 1.00000+ 1 1.80000+ 1 1.79282- 5 2.37061- 2 1.00000+ 1 1.90000+ 1 1.72287- 4 2.37107- 2 1.00000+ 1 2.10000+ 1 3.49817- 6 2.37576- 2 1.00000+ 1 2.20000+ 1 1.18065- 5 2.37581- 2 1.10000+ 1 1.10000+ 1 5.81577- 4 2.32674- 2 1.10000+ 1 1.30000+ 1 1.46050- 4 2.34460- 2 1.10000+ 1 1.40000+ 1 1.34249- 4 2.34517- 2 1.10000+ 1 1.60000+ 1 9.62023- 5 2.37032- 2 1.10000+ 1 1.80000+ 1 1.74043- 4 2.37345- 2 1.10000+ 1 1.90000+ 1 1.88482- 4 2.37391- 2 1.10000+ 1 2.10000+ 1 1.53046- 5 2.37861- 2 1.10000+ 1 2.20000+ 1 1.39931- 5 2.37865- 2 1.30000+ 1 1.40000+ 1 1.66161- 5 2.36302- 2 1.30000+ 1 1.60000+ 1 5.24746- 6 2.38817- 2 1.30000+ 1 1.80000+ 1 5.24746- 6 2.39131- 2 1.30000+ 1 1.90000+ 1 2.27390- 5 2.39177- 2 1.30000+ 1 2.20000+ 1 1.74909- 6 2.39651- 2 1.40000+ 1 1.40000+ 1 4.11657- 6 2.36360- 2 1.40000+ 1 1.60000+ 1 6.40342- 6 2.38875- 2 1.40000+ 1 1.80000+ 1 1.87531- 5 2.39188- 2 1.40000+ 1 1.90000+ 1 2.19537- 5 2.39234- 2 1.40000+ 1 2.10000+ 1 1.82951- 6 2.39703- 2 1.40000+ 1 2.20000+ 1 9.14764- 7 2.39708- 2 1.60000+ 1 1.60000+ 1 1.45751- 5 2.41390- 2 1.60000+ 1 1.80000+ 1 1.26314- 5 2.41703- 2 1.60000+ 1 1.90000+ 1 1.79758- 5 2.41749- 2 1.60000+ 1 2.10000+ 1 4.85833- 7 2.42218- 2 1.60000+ 1 2.20000+ 1 4.85833- 7 2.42223- 2 1.80000+ 1 1.80000+ 1 1.37324- 6 2.42016- 2 1.80000+ 1 1.90000+ 1 2.92971- 5 2.42062- 2 1.80000+ 1 2.10000+ 1 4.57744- 7 2.42532- 2 1.80000+ 1 2.20000+ 1 1.83096- 6 2.42536- 2 1.90000+ 1 1.90000+ 1 1.71991- 5 2.42108- 2 1.90000+ 1 2.10000+ 1 2.45697- 6 2.42578- 2 1.90000+ 1 2.20000+ 1 2.45697- 6 2.42582- 2 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.57010- 5 2.47400- 4 6.00000+ 0 1.22620- 4 4.09400- 4 1.00000+ 1 3.59420- 3 3.02475- 3 1.10000+ 1 6.02259- 3 3.05320- 3 1.30000+ 1 3.78970- 5 3.23176- 3 1.40000+ 1 5.65149- 5 3.23749- 3 1.80000+ 1 6.23719- 4 3.52032- 3 1.90000+ 1 1.05400- 3 3.52491- 3 2.10000+ 1 2.70900- 6 3.57186- 3 2.20000+ 1 4.01560- 6 3.57233- 3 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 2.48330- 2 1.56390- 4 5.00000+ 0 1.80000+ 1 1.66348- 2 1.87720- 4 5.00000+ 0 1.90000+ 1 2.22819- 2 1.92310- 4 5.00000+ 0 2.10000+ 1 4.20574- 3 2.39260- 4 5.00000+ 0 2.20000+ 1 6.94950- 3 2.39730- 4 6.00000+ 0 1.30000+ 1 2.24937- 1 6.11600- 5 6.00000+ 0 1.40000+ 1 3.75836- 1 6.68900- 5 6.00000+ 0 1.60000+ 1 3.59848- 2 3.18390- 4 6.00000+ 0 1.80000+ 1 1.55936- 2 3.49720- 4 6.00000+ 0 1.90000+ 1 3.06817- 2 3.54310- 4 6.00000+ 0 2.10000+ 1 1.74692- 2 4.01260- 4 6.00000+ 0 2.20000+ 1 2.27175- 2 4.01730- 4 8.00000+ 0 8.00000+ 0 6.35170- 3 2.27012- 3 8.00000+ 0 1.00000+ 1 1.24948- 2 2.36981- 3 8.00000+ 0 1.10000+ 1 2.35948- 2 2.39826- 3 8.00000+ 0 1.30000+ 1 1.86424- 2 2.57682- 3 8.00000+ 0 1.40000+ 1 2.67735- 2 2.58255- 3 8.00000+ 0 1.60000+ 1 2.05680- 3 2.83405- 3 8.00000+ 0 1.80000+ 1 2.06030- 3 2.86538- 3 8.00000+ 0 1.90000+ 1 3.84048- 3 2.86997- 3 8.00000+ 0 2.10000+ 1 1.72484- 3 2.91692- 3 8.00000+ 0 2.20000+ 1 2.43642- 3 2.91739- 3 1.00000+ 1 1.00000+ 1 9.03531- 5 2.46950- 3 1.00000+ 1 1.10000+ 1 5.37776- 4 2.49795- 3 1.00000+ 1 1.30000+ 1 4.43943- 4 2.67651- 3 1.00000+ 1 1.40000+ 1 6.57193- 3 2.68224- 3 1.00000+ 1 1.60000+ 1 1.65368- 3 2.93374- 3 1.00000+ 1 1.80000+ 1 1.78088- 5 2.96507- 3 1.00000+ 1 1.90000+ 1 8.29686- 5 2.96966- 3 1.00000+ 1 2.10000+ 1 4.12666- 5 3.01661- 3 1.00000+ 1 2.20000+ 1 4.22659- 4 3.01708- 3 1.10000+ 1 1.10000+ 1 5.60357- 4 2.52640- 3 1.10000+ 1 1.30000+ 1 5.31197- 3 2.70496- 3 1.10000+ 1 1.40000+ 1 3.68611- 3 2.71069- 3 1.10000+ 1 1.60000+ 1 3.12453- 3 2.96219- 3 1.10000+ 1 1.80000+ 1 8.34022- 5 2.99352- 3 1.10000+ 1 1.90000+ 1 1.43781- 4 2.99811- 3 1.10000+ 1 2.10000+ 1 3.18399- 4 3.04506- 3 1.10000+ 1 2.20000+ 1 2.25440- 4 3.04553- 3 1.30000+ 1 1.30000+ 1 9.82153- 4 2.88352- 3 1.30000+ 1 1.40000+ 1 3.80110- 2 2.88925- 3 1.30000+ 1 1.60000+ 1 2.35487- 3 3.14075- 3 1.30000+ 1 1.80000+ 1 9.60009- 5 3.17208- 3 1.30000+ 1 1.90000+ 1 8.57065- 4 3.17667- 3 1.30000+ 1 2.10000+ 1 1.81566- 4 3.22362- 3 1.30000+ 1 2.20000+ 1 2.67633- 3 3.22409- 3 1.40000+ 1 1.40000+ 1 1.06940- 2 2.89498- 3 1.40000+ 1 1.60000+ 1 3.39386- 3 3.14648- 3 1.40000+ 1 1.80000+ 1 1.00254- 3 3.17781- 3 1.40000+ 1 1.90000+ 1 6.22050- 4 3.18240- 3 1.40000+ 1 2.10000+ 1 2.69398- 3 3.22935- 3 1.40000+ 1 2.20000+ 1 1.56153- 3 3.22982- 3 1.60000+ 1 1.60000+ 1 1.58983- 4 3.39798- 3 1.60000+ 1 1.80000+ 1 2.73241- 4 3.42931- 3 1.60000+ 1 1.90000+ 1 5.09108- 4 3.43390- 3 1.60000+ 1 2.10000+ 1 2.17192- 4 3.48085- 3 1.60000+ 1 2.20000+ 1 3.07975- 4 3.48132- 3 1.80000+ 1 1.80000+ 1 8.68784- 7 3.46064- 3 1.80000+ 1 1.90000+ 1 1.30324- 5 3.46523- 3 1.80000+ 1 2.10000+ 1 7.81908- 6 3.51218- 3 1.80000+ 1 2.20000+ 1 6.60276- 5 3.51265- 3 1.90000+ 1 1.90000+ 1 9.55647- 6 3.46982- 3 1.90000+ 1 2.10000+ 1 5.34283- 5 3.51677- 3 1.90000+ 1 2.20000+ 1 3.90951- 5 3.51724- 3 2.10000+ 1 2.10000+ 1 7.81889- 6 3.56372- 3 2.10000+ 1 2.20000+ 1 1.98951- 4 3.56419- 3 2.20000+ 1 2.20000+ 1 5.95119- 5 3.56466- 3 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.24710- 8 1.62000- 4 8.00000+ 0 3.35730- 3 2.67766- 3 1.10000+ 1 3.86160- 5 2.80580- 3 1.30000+ 1 4.34510- 2 2.98436- 3 1.60000+ 1 3.37060- 4 3.24159- 3 1.90000+ 1 2.31720- 6 3.27751- 3 2.10000+ 1 3.61220- 3 3.32446- 3 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.46606- 2 7.09900- 5 6.00000+ 0 1.80000+ 1 5.26161- 2 1.02320- 4 6.00000+ 0 1.90000+ 1 1.90981- 2 1.06910- 4 6.00000+ 0 2.10000+ 1 5.03842- 2 1.53860- 4 6.00000+ 0 2.20000+ 1 1.91211- 2 1.54330- 4 8.00000+ 0 8.00000+ 0 1.28613- 3 2.02272- 3 8.00000+ 0 1.00000+ 1 2.87984- 2 2.12241- 3 8.00000+ 0 1.10000+ 1 2.75976- 3 2.15086- 3 8.00000+ 0 1.30000+ 1 1.77853- 3 2.32942- 3 8.00000+ 0 1.40000+ 1 4.16556- 3 2.33515- 3 8.00000+ 0 1.60000+ 1 3.91261- 4 2.58665- 3 8.00000+ 0 1.80000+ 1 3.38304- 3 2.61798- 3 8.00000+ 0 1.90000+ 1 4.01122- 4 2.62257- 3 8.00000+ 0 2.10000+ 1 1.22189- 4 2.66952- 3 8.00000+ 0 2.20000+ 1 2.53019- 4 2.66999- 3 1.00000+ 1 1.00000+ 1 2.78171- 2 2.22210- 3 1.00000+ 1 1.10000+ 1 9.00108- 2 2.25055- 3 1.00000+ 1 1.30000+ 1 4.78407- 2 2.42911- 3 1.00000+ 1 1.40000+ 1 8.43363- 2 2.43484- 3 1.00000+ 1 1.60000+ 1 5.50987- 3 2.68634- 3 1.00000+ 1 1.80000+ 1 7.96738- 3 2.71767- 3 1.00000+ 1 1.90000+ 1 1.43910- 2 2.72226- 3 1.00000+ 1 2.10000+ 1 4.41123- 3 2.76921- 3 1.00000+ 1 2.20000+ 1 7.67576- 3 2.76968- 3 1.10000+ 1 1.10000+ 1 2.41052- 3 2.27900- 3 1.10000+ 1 1.30000+ 1 5.88528- 2 2.45756- 3 1.10000+ 1 1.40000+ 1 7.96452- 3 2.46329- 3 1.10000+ 1 1.60000+ 1 4.57897- 4 2.71479- 3 1.10000+ 1 1.80000+ 1 1.09531- 2 2.74612- 3 1.10000+ 1 1.90000+ 1 6.55381- 4 2.75071- 3 1.10000+ 1 2.10000+ 1 4.78537- 3 2.79766- 3 1.10000+ 1 2.20000+ 1 5.97379- 4 2.79813- 3 1.30000+ 1 1.30000+ 1 5.27645- 2 2.63612- 3 1.30000+ 1 1.40000+ 1 2.29928- 1 2.64185- 3 1.30000+ 1 1.60000+ 1 3.50514- 4 2.89335- 3 1.30000+ 1 1.80000+ 1 5.82529- 3 2.92468- 3 1.30000+ 1 1.90000+ 1 8.94182- 3 2.92927- 3 1.30000+ 1 2.10000+ 1 8.54813- 3 2.97622- 3 1.30000+ 1 2.20000+ 1 1.94822- 2 2.97669- 3 1.40000+ 1 1.40000+ 1 1.09264- 2 2.64758- 3 1.40000+ 1 1.60000+ 1 6.86240- 4 2.89908- 3 1.40000+ 1 1.80000+ 1 9.27543- 3 2.93041- 3 1.40000+ 1 1.90000+ 1 1.11321- 3 2.93500- 3 1.40000+ 1 2.10000+ 1 1.63090- 2 2.98195- 3 1.40000+ 1 2.20000+ 1 1.70573- 3 2.98242- 3 1.60000+ 1 1.60000+ 1 3.90014- 5 3.15058- 3 1.60000+ 1 1.80000+ 1 8.54792- 4 3.18191- 3 1.60000+ 1 1.90000+ 1 8.77548- 5 3.18650- 3 1.60000+ 1 2.10000+ 1 3.08752- 5 3.23345- 3 1.60000+ 1 2.20000+ 1 5.68770- 5 3.23392- 3 1.80000+ 1 1.80000+ 1 5.58590- 4 3.21324- 3 1.80000+ 1 1.90000+ 1 1.77596- 3 3.21783- 3 1.80000+ 1 2.10000+ 1 5.38569- 4 3.26478- 3 1.80000+ 1 2.20000+ 1 8.61679- 4 3.26525- 3 1.90000+ 1 1.90000+ 1 4.44332- 5 3.22242- 3 1.90000+ 1 2.10000+ 1 7.33136- 4 3.26937- 3 1.90000+ 1 2.20000+ 1 8.51610- 5 3.26984- 3 2.10000+ 1 2.10000+ 1 3.44339- 4 3.31632- 3 2.10000+ 1 2.20000+ 1 1.41316- 3 3.31679- 3 2.20000+ 1 2.20000+ 1 6.48840- 5 3.31726- 3 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 5.59771- 3 2.51566- 3 1.00000+ 1 2.61430- 5 2.61535- 3 1.10000+ 1 2.46530- 5 2.64380- 3 1.30000+ 1 4.39151- 3 2.82236- 3 1.40000+ 1 3.89871- 2 2.82809- 3 1.60000+ 1 3.46701- 4 3.07959- 3 1.80000+ 1 1.18510- 6 3.11092- 3 1.90000+ 1 1.12730- 6 3.11551- 3 2.10000+ 1 3.59771- 4 3.16246- 3 2.20000+ 1 3.15361- 3 3.16293- 3 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.60911- 3 1.86072- 3 8.00000+ 0 1.00000+ 1 1.20249- 3 1.96041- 3 8.00000+ 0 1.10000+ 1 3.32031- 2 1.98886- 3 8.00000+ 0 1.30000+ 1 3.20624- 3 2.16742- 3 8.00000+ 0 1.40000+ 1 3.36146- 3 2.17315- 3 8.00000+ 0 1.60000+ 1 4.89565- 4 2.42465- 3 8.00000+ 0 1.80000+ 1 1.69880- 4 2.45598- 3 8.00000+ 0 1.90000+ 1 3.88574- 3 2.46057- 3 8.00000+ 0 2.10000+ 1 1.80568- 4 2.50752- 3 8.00000+ 0 2.20000+ 1 1.77901- 4 2.50799- 3 1.00000+ 1 1.00000+ 1 4.26727- 4 2.06010- 3 1.00000+ 1 1.10000+ 1 5.48781- 2 2.08855- 3 1.00000+ 1 1.30000+ 1 3.77761- 3 2.26711- 3 1.00000+ 1 1.40000+ 1 3.39114- 2 2.27284- 3 1.00000+ 1 1.60000+ 1 1.95304- 4 2.52434- 3 1.00000+ 1 1.80000+ 1 1.19058- 4 2.55567- 3 1.00000+ 1 1.90000+ 1 6.62294- 3 2.56026- 3 1.00000+ 1 2.10000+ 1 3.29075- 4 2.60721- 3 1.00000+ 1 2.20000+ 1 2.60991- 3 2.60768- 3 1.10000+ 1 1.10000+ 1 7.85170- 2 2.11700- 3 1.10000+ 1 1.30000+ 1 7.77209- 2 2.29556- 3 1.10000+ 1 1.40000+ 1 1.18805- 1 2.30129- 3 1.10000+ 1 1.60000+ 1 6.29929- 3 2.55279- 3 1.10000+ 1 1.80000+ 1 8.73599- 3 2.58412- 3 1.10000+ 1 1.90000+ 1 2.20149- 2 2.58871- 3 1.10000+ 1 2.10000+ 1 6.95992- 3 2.63566- 3 1.10000+ 1 2.20000+ 1 1.04081- 2 2.63613- 3 1.30000+ 1 1.30000+ 1 1.10602- 2 2.47412- 3 1.30000+ 1 1.40000+ 1 2.14182- 1 2.47985- 3 1.30000+ 1 1.60000+ 1 5.63156- 4 2.73135- 3 1.30000+ 1 1.80000+ 1 5.96588- 4 2.76268- 3 1.30000+ 1 1.90000+ 1 8.83763- 3 2.76727- 3 1.30000+ 1 2.10000+ 1 1.80311- 3 2.81422- 3 1.30000+ 1 2.20000+ 1 1.52382- 2 2.81469- 3 1.40000+ 1 1.40000+ 1 1.45746- 1 2.48558- 3 1.40000+ 1 1.60000+ 1 6.27339- 4 2.73708- 3 1.40000+ 1 1.80000+ 1 5.07353- 3 2.76841- 3 1.40000+ 1 1.90000+ 1 1.48913- 2 2.77300- 3 1.40000+ 1 2.10000+ 1 1.76299- 2 2.81995- 3 1.40000+ 1 2.20000+ 1 2.26320- 2 2.82042- 3 1.60000+ 1 1.60000+ 1 4.87992- 5 2.98858- 3 1.60000+ 1 1.80000+ 1 3.65984- 5 3.01991- 3 1.60000+ 1 1.90000+ 1 9.62020- 4 3.02450- 3 1.60000+ 1 2.10000+ 1 4.35702- 5 3.07145- 3 1.60000+ 1 2.20000+ 1 4.53141- 5 3.07192- 3 1.80000+ 1 1.80000+ 1 8.12469- 6 3.05124- 3 1.80000+ 1 1.90000+ 1 1.06578- 3 3.05583- 3 1.80000+ 1 2.10000+ 1 5.14578- 5 3.10278- 3 1.80000+ 1 2.20000+ 1 4.03541- 4 3.10325- 3 1.90000+ 1 1.90000+ 1 1.50214- 3 3.06042- 3 1.90000+ 1 2.10000+ 1 7.91880- 4 3.10737- 3 1.90000+ 1 2.20000+ 1 1.29349- 3 3.10784- 3 2.10000+ 1 2.10000+ 1 7.22306- 5 3.15432- 3 2.10000+ 1 2.20000+ 1 1.28137- 3 3.15479- 3 2.20000+ 1 2.20000+ 1 8.06521- 4 3.15526- 3 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.18522- 5 9.96900- 5 1.10000+ 1 5.19514- 5 1.28140- 4 1.80000+ 1 9.52038- 5 5.95260- 4 1.90000+ 1 1.39497- 4 5.99850- 4 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 5.06227- 2 8.68000- 6 1.00000+ 1 1.80000+ 1 5.23701- 2 4.00100- 5 1.00000+ 1 1.90000+ 1 1.02130- 1 4.46000- 5 1.00000+ 1 2.10000+ 1 4.25813- 2 9.15500- 5 1.00000+ 1 2.20000+ 1 5.54363- 2 9.20200- 5 1.10000+ 1 1.60000+ 1 8.21567- 2 3.71300- 5 1.10000+ 1 1.80000+ 1 8.97852- 2 6.84600- 5 1.10000+ 1 1.90000+ 1 1.43840- 1 7.30500- 5 1.10000+ 1 2.10000+ 1 4.15499- 2 1.20000- 4 1.10000+ 1 2.20000+ 1 6.15995- 2 1.20470- 4 1.30000+ 1 1.60000+ 1 3.25759- 2 2.15690- 4 1.30000+ 1 1.80000+ 1 6.10415- 3 2.47020- 4 1.30000+ 1 1.90000+ 1 4.60315- 3 2.51610- 4 1.30000+ 1 2.10000+ 1 4.34660- 3 2.98560- 4 1.30000+ 1 2.20000+ 1 4.90134- 3 2.99030- 4 1.40000+ 1 1.60000+ 1 4.80086- 2 2.21420- 4 1.40000+ 1 1.80000+ 1 1.76778- 3 2.52750- 4 1.40000+ 1 1.90000+ 1 1.21750- 2 2.57340- 4 1.40000+ 1 2.10000+ 1 5.22248- 3 3.04290- 4 1.40000+ 1 2.20000+ 1 8.49941- 3 3.04760- 4 1.60000+ 1 1.60000+ 1 1.38819- 2 4.72920- 4 1.60000+ 1 1.80000+ 1 2.06588- 2 5.04250- 4 1.60000+ 1 1.90000+ 1 3.84243- 2 5.08840- 4 1.60000+ 1 2.10000+ 1 2.39424- 2 5.55790- 4 1.60000+ 1 2.20000+ 1 3.43530- 2 5.56260- 4 1.80000+ 1 1.80000+ 1 1.40052- 3 5.35580- 4 1.80000+ 1 1.90000+ 1 3.36804- 3 5.40170- 4 1.80000+ 1 2.10000+ 1 1.34954- 3 5.87120- 4 1.80000+ 1 2.20000+ 1 3.76618- 4 5.87590- 4 1.90000+ 1 1.90000+ 1 4.61671- 3 5.44760- 4 1.90000+ 1 2.10000+ 1 1.06396- 3 5.91710- 4 1.90000+ 1 2.20000+ 1 3.22455- 3 5.92180- 4 2.10000+ 1 2.10000+ 1 4.42405- 4 6.38660- 4 2.10000+ 1 2.20000+ 1 9.07399- 4 6.39130- 4 2.20000+ 1 2.20000+ 1 1.41510- 3 6.39600- 4 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.29339- 4 2.07010- 4 1.60000+ 1 1.94240- 4 4.64240- 4 2.10000+ 1 3.34289- 4 5.47110- 4 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.85757- 2 2.03100- 5 1.10000+ 1 2.20000+ 1 4.34132- 2 2.07800- 5 1.30000+ 1 1.60000+ 1 1.49881- 1 1.16000- 4 1.30000+ 1 1.80000+ 1 1.52979- 1 1.47330- 4 1.30000+ 1 1.90000+ 1 2.33097- 1 1.51920- 4 1.30000+ 1 2.10000+ 1 3.62731- 2 1.98870- 4 1.30000+ 1 2.20000+ 1 3.27585- 2 1.99340- 4 1.40000+ 1 1.60000+ 1 2.55296- 2 1.21730- 4 1.40000+ 1 1.80000+ 1 2.01201- 1 1.53060- 4 1.40000+ 1 1.90000+ 1 2.13363- 2 1.57650- 4 1.40000+ 1 2.10000+ 1 5.06885- 3 2.04600- 4 1.40000+ 1 2.20000+ 1 5.07365- 3 2.05070- 4 1.60000+ 1 1.60000+ 1 6.73804- 4 3.73230- 4 1.60000+ 1 1.80000+ 1 1.00184- 2 4.04560- 4 1.60000+ 1 1.90000+ 1 1.60505- 3 4.09150- 4 1.60000+ 1 2.10000+ 1 3.16943- 4 4.56100- 4 1.60000+ 1 2.20000+ 1 6.84766- 4 4.56570- 4 1.80000+ 1 1.80000+ 1 6.54246- 3 4.35890- 4 1.80000+ 1 1.90000+ 1 2.06822- 2 4.40480- 4 1.80000+ 1 2.10000+ 1 1.11645- 2 4.87430- 4 1.80000+ 1 2.20000+ 1 1.83927- 2 4.87900- 4 1.90000+ 1 1.90000+ 1 5.50525- 4 4.45070- 4 1.90000+ 1 2.10000+ 1 1.36196- 3 4.92020- 4 1.90000+ 1 2.20000+ 1 8.64212- 4 4.92490- 4 2.10000+ 1 2.10000+ 1 2.88387- 4 5.38970- 4 2.10000+ 1 2.20000+ 1 5.57761- 4 5.39440- 4 2.20000+ 1 2.20000+ 1 1.51780- 4 5.39910- 4 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 3.00985- 5 1.78560- 4 1.40000+ 1 3.02791- 4 1.84290- 4 1.60000+ 1 2.35107- 4 4.35790- 4 2.10000+ 1 4.18334- 5 5.18660- 4 2.20000+ 1 3.42448- 4 5.19130- 4 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 3.04256- 2 8.75500- 5 1.30000+ 1 1.80000+ 1 2.12619- 2 1.18880- 4 1.30000+ 1 1.90000+ 1 1.43596- 1 1.23470- 4 1.30000+ 1 2.10000+ 1 8.72896- 3 1.70420- 4 1.30000+ 1 2.20000+ 1 5.92168- 3 1.70890- 4 1.40000+ 1 1.60000+ 1 1.43625- 1 9.32800- 5 1.40000+ 1 1.80000+ 1 1.41638- 1 1.24610- 4 1.40000+ 1 1.90000+ 1 3.05855- 1 1.29200- 4 1.40000+ 1 2.10000+ 1 2.78102- 2 1.76150- 4 1.40000+ 1 2.20000+ 1 5.36631- 2 1.76620- 4 1.60000+ 1 1.60000+ 1 9.42197- 4 3.44780- 4 1.60000+ 1 1.80000+ 1 1.38149- 3 3.76110- 4 1.60000+ 1 1.90000+ 1 2.02975- 2 3.80700- 4 1.60000+ 1 2.10000+ 1 8.54088- 4 4.27650- 4 1.60000+ 1 2.20000+ 1 9.84089- 4 4.28120- 4 1.80000+ 1 1.80000+ 1 2.15038- 4 4.07440- 4 1.80000+ 1 1.90000+ 1 1.85877- 2 4.12030- 4 1.80000+ 1 2.10000+ 1 4.12386- 4 4.58980- 4 1.80000+ 1 2.20000+ 1 1.92031- 3 4.59450- 4 1.90000+ 1 1.90000+ 1 2.44376- 2 4.16620- 4 1.90000+ 1 2.10000+ 1 1.93853- 2 4.63570- 4 1.90000+ 1 2.20000+ 1 2.60973- 2 4.64040- 4 2.10000+ 1 2.10000+ 1 7.63891- 5 5.10520- 4 2.10000+ 1 2.20000+ 1 5.13756- 4 5.10990- 4 2.20000+ 1 2.20000+ 1 4.15559- 4 5.11460- 4 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.87627- 4 2.88560- 4 1.90000+ 1 6.61165- 5 2.93150- 4 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 2.16725- 3 1.66220- 4 1.60000+ 1 1.80000+ 1 2.11938- 2 1.97550- 4 1.60000+ 1 1.90000+ 1 2.22043- 2 2.02140- 4 1.60000+ 1 2.10000+ 1 1.54661- 1 2.49090- 4 1.60000+ 1 2.20000+ 1 2.73623- 2 2.49560- 4 1.80000+ 1 1.80000+ 1 1.08363- 3 2.28880- 4 1.80000+ 1 1.90000+ 1 2.84051- 2 2.33470- 4 1.80000+ 1 2.10000+ 1 1.09482- 1 2.80420- 4 1.80000+ 1 2.20000+ 1 9.86806- 3 2.80890- 4 1.90000+ 1 1.90000+ 1 1.25872- 2 2.38060- 4 1.90000+ 1 2.10000+ 1 2.43989- 1 2.85010- 4 1.90000+ 1 2.20000+ 1 1.07322- 2 2.85480- 4 2.10000+ 1 2.10000+ 1 1.15866- 1 3.31960- 4 2.10000+ 1 2.20000+ 1 2.35501- 1 3.32430- 4 2.20000+ 1 2.20000+ 1 4.44347- 3 3.32900- 4 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 4.03399- 4 2.87420- 4 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 2.86182- 3 1.60490- 4 1.60000+ 1 1.80000+ 1 1.36377- 2 1.91820- 4 1.60000+ 1 1.90000+ 1 3.39896- 2 1.96410- 4 1.60000+ 1 2.10000+ 1 2.01360- 2 2.43360- 4 1.60000+ 1 2.20000+ 1 1.62184- 1 2.43830- 4 1.80000+ 1 1.80000+ 1 1.13648- 4 2.23150- 4 1.80000+ 1 1.90000+ 1 2.92157- 2 2.27740- 4 1.80000+ 1 2.10000+ 1 2.62410- 3 2.74690- 4 1.80000+ 1 2.20000+ 1 1.32676- 1 2.75160- 4 1.90000+ 1 1.90000+ 1 1.81826- 2 2.32330- 4 1.90000+ 1 2.10000+ 1 1.27063- 2 2.79280- 4 1.90000+ 1 2.20000+ 1 2.21710- 1 2.79750- 4 2.10000+ 1 2.10000+ 1 1.72533- 3 3.26230- 4 2.10000+ 1 2.20000+ 1 1.62614- 1 3.26700- 4 2.20000+ 1 2.20000+ 1 1.85219- 1 3.27170- 4 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 5.29363- 6 3.13300- 5 1.90000+ 1 1.49481- 5 3.59200- 5 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10000+ 1 6.33850- 2 2.31900- 5 1.80000+ 1 2.20000+ 1 2.07346- 1 2.36600- 5 1.90000+ 1 2.10000+ 1 3.39031- 1 2.77800- 5 1.90000+ 1 2.20000+ 1 3.53883- 1 2.82500- 5 2.10000+ 1 2.10000+ 1 7.49380- 4 7.47300- 5 2.10000+ 1 2.20000+ 1 2.59428- 2 7.52000- 5 2.20000+ 1 2.20000+ 1 9.64265- 3 7.56700- 5 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.31540- 5 5.15400- 5 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 1.64999- 1 4.34000- 5 2.10000+ 1 2.20000+ 1 8.06842- 1 4.38700- 5 2.20000+ 1 2.20000+ 1 2.81460- 2 4.43400- 5 1 46000 0 7 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.48799- 7 4.69500- 5 2.20000+ 1 3.22229- 6 4.74200- 5 1 46000 0 9 1.06400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 2.41651- 2 3.88100- 5 2.10000+ 1 2.20000+ 1 5.93523- 1 3.92800- 5 2.20000+ 1 2.20000+ 1 3.82309- 1 3.97500- 5 1 47000 0 0 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.70000+ 1 1.00000+ 0 1 47000 0 0 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.54890- 2 3.00000+ 0 3.78340- 3 5.00000+ 0 3.52810- 3 6.00000+ 0 3.35000- 3 8.00000+ 0 7.03800- 4 1.00000+ 1 6.00190- 4 1.10000+ 1 5.68530- 4 1.30000+ 1 3.82990- 4 1.40000+ 1 3.76550- 4 1.60000+ 1 1.01610- 4 1.80000+ 1 6.84100- 5 1.90000+ 1 6.31400- 5 2.10000+ 1 1.24700- 5 2.20000+ 1 1.18600- 5 2.70000+ 1 6.89000- 6 1 47000 0 0 1.07868+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.23330- 2 3.00000+ 0 6.88720- 3 5.00000+ 0 6.89330- 3 6.00000+ 0 6.24560- 3 8.00000+ 0 1.92320- 3 1.00000+ 1 1.86070- 3 1.10000+ 1 1.72050- 3 1.30000+ 1 1.60180- 3 1.40000+ 1 1.56790- 3 1.60000+ 1 4.85310- 4 1.80000+ 1 4.22870- 4 1.90000+ 1 3.89890- 4 2.10000+ 1 2.35980- 4 2.20000+ 1 2.28790- 4 2.70000+ 1 3.96400- 5 1 47000 0 0 1.07868+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.64310-10 3.00000+ 0 7.08990-10 5.00000+ 0 6.00480-10 6.00000+ 0 6.27120-10 8.00000+ 0 1.93350- 9 1.00000+ 1 1.88520- 9 1.10000+ 1 1.94200- 9 1.30000+ 1 1.79180- 9 1.40000+ 1 1.80950- 9 1.60000+ 1 4.76520- 9 1.80000+ 1 5.09340- 9 1.90000+ 1 5.25560- 9 2.10000+ 1 6.97790- 9 2.20000+ 1 7.08600- 9 2.70000+ 1 1.68560- 8 1 47000 0 0 1.07868+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.42180- 6 3.00000+ 0 7.60390- 8 5.00000+ 0 1.25250- 7 6.00000+ 0 1.19610- 7 8.00000+ 0 1.33390- 9 1.00000+ 1 1.30970- 9 1.10000+ 1 1.22450- 9 1.30000+ 1 1.00180-10 1.40000+ 1 8.89910-11 1.60000+ 1 3.03640-11 1.80000+ 1 8.34950-11 1.90000+ 1 6.88650-11 1 47000 0 0 1.07868+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.13440- 6 3.00000+ 0 5.32410- 6 5.00000+ 0 2.17930- 6 6.00000+ 0 2.00210- 6 8.00000+ 0 1.11230- 5 1.00000+ 1 3.64220- 6 1.10000+ 1 3.87380- 6 1.30000+ 1 3.01750- 7 1.40000+ 1 3.05280- 7 1.60000+ 1 2.39270- 5 1.80000+ 1 1.37580- 5 1.90000+ 1 1.47050- 5 1 47000 0 0 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.20446- 5 3.00000+ 0 1.08154- 4 5.00000+ 0 8.46777- 5 6.00000+ 0 8.06776- 5 8.00000+ 0 7.45983- 5 1.00000+ 1 5.95909- 5 1.10000+ 1 5.78684- 5 1.30000+ 1 3.51110- 5 1.40000+ 1 3.48689- 5 1.60000+ 1 3.56779- 5 1.80000+ 1 2.43802- 5 1.90000+ 1 2.40724- 5 2.10000+ 1 1.24700- 5 2.20000+ 1 1.18600- 5 2.70000+ 1 6.89000- 6 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.92095- 1 3.00000+ 0 6.06288- 2 5.00000+ 0 6.55375- 2 6.00000+ 0 5.86450- 2 8.00000+ 0 1.57417- 3 1.00000+ 1 1.66681- 3 1.10000+ 1 1.55538- 3 1.30000+ 1 5.91855- 4 1.40000+ 1 5.30367- 4 1.60000+ 1 3.28027- 5 1.80000+ 1 1.86381- 5 1.90000+ 1 5.12682- 6 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.89659- 2 3.00000+ 0 1.79979- 4 5.00000+ 0 2.00400- 4 6.00000+ 0 1.69839- 4 8.00000+ 0 6.43695- 7 1.00000+ 1 6.36980- 7 1.10000+ 1 5.99394- 7 1.30000+ 1 1.83556- 7 1.40000+ 1 1.63083- 7 1.60000+ 1 1.35858- 9 1.80000+ 1 1.04487- 9 1.90000+ 1 2.63313-10 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.62060+ 0 3.00000+ 0 7.95990+ 0 5.00000+ 0 5.99807+ 0 6.00000+ 0 5.68536+ 0 8.00000+ 0 5.17894+ 0 1.00000+ 1 3.92067+ 0 1.10000+ 1 3.79936+ 0 1.30000+ 1 1.88222+ 0 1.40000+ 1 1.90158+ 0 1.60000+ 1 1.95757+ 0 1.80000+ 1 9.99981- 1 1.90000+ 1 9.99995- 1 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.43107- 3 3.00000+ 0 3.49527- 3 5.00000+ 0 3.24302- 3 6.00000+ 0 3.09948- 3 8.00000+ 0 6.28558- 4 1.00000+ 1 5.39962- 4 1.10000+ 1 5.10062- 4 1.30000+ 1 3.47695- 4 1.40000+ 1 3.41518- 4 1.60000+ 1 6.59308- 5 1.80000+ 1 4.40288- 5 1.90000+ 1 3.90674- 5 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.40010- 1 2.19609- 2 6.00000+ 0 4.52271- 1 2.21390- 2 1.00000+ 1 3.94350- 2 2.48888- 2 1.10000+ 1 7.66271- 2 2.49205- 2 1.30000+ 1 2.66540- 4 2.51060- 2 1.40000+ 1 3.71920- 4 2.51124- 2 1.80000+ 1 8.01611- 3 2.54206- 2 1.90000+ 1 1.55010- 2 2.54259- 2 2.10000+ 1 3.00340- 5 2.54765- 2 2.20000+ 1 4.13960- 5 2.54771- 2 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 1.24287- 2 1.79222- 2 3.00000+ 0 5.00000+ 0 1.43406- 2 1.81775- 2 3.00000+ 0 6.00000+ 0 1.98916- 2 1.83556- 2 3.00000+ 0 8.00000+ 0 4.21957- 3 2.10018- 2 3.00000+ 0 1.00000+ 1 2.57543- 3 2.11054- 2 3.00000+ 0 1.10000+ 1 3.57864- 3 2.11371- 2 3.00000+ 0 1.30000+ 1 2.17263- 4 2.13226- 2 3.00000+ 0 1.40000+ 1 2.53808- 4 2.13290- 2 3.00000+ 0 1.60000+ 1 8.09640- 4 2.16040- 2 3.00000+ 0 1.80000+ 1 4.45778- 4 2.16372- 2 3.00000+ 0 1.90000+ 1 6.12048- 4 2.16425- 2 3.00000+ 0 2.10000+ 1 2.53005- 5 2.16931- 2 3.00000+ 0 2.20000+ 1 2.93170- 5 2.16937- 2 3.00000+ 0 2.70000+ 1 3.53413- 5 2.16987- 2 5.00000+ 0 5.00000+ 0 2.03503- 3 1.84328- 2 5.00000+ 0 6.00000+ 0 4.43833- 2 1.86109- 2 5.00000+ 0 8.00000+ 0 2.01606- 3 2.12571- 2 5.00000+ 0 1.00000+ 1 6.60224- 4 2.13607- 2 5.00000+ 0 1.10000+ 1 6.69116- 3 2.13924- 2 5.00000+ 0 1.30000+ 1 2.73082- 4 2.15779- 2 5.00000+ 0 1.40000+ 1 9.46165- 4 2.15843- 2 5.00000+ 0 1.60000+ 1 3.73102- 4 2.18593- 2 5.00000+ 0 1.80000+ 1 1.12453- 4 2.18925- 2 5.00000+ 0 1.90000+ 1 1.11127- 3 2.18978- 2 5.00000+ 0 2.10000+ 1 3.17262- 5 2.19484- 2 5.00000+ 0 2.20000+ 1 1.08438- 4 2.19490- 2 5.00000+ 0 2.70000+ 1 1.60639- 5 2.19540- 2 6.00000+ 0 6.00000+ 0 2.29225- 2 1.87890- 2 6.00000+ 0 8.00000+ 0 2.77353- 3 2.14352- 2 6.00000+ 0 1.00000+ 1 6.58675- 3 2.15388- 2 6.00000+ 0 1.10000+ 1 7.07956- 3 2.15705- 2 6.00000+ 0 1.30000+ 1 1.14177- 3 2.17560- 2 6.00000+ 0 1.40000+ 1 1.07065- 3 2.17624- 2 6.00000+ 0 1.60000+ 1 5.12452- 4 2.20374- 2 6.00000+ 0 1.80000+ 1 1.10481- 3 2.20706- 2 6.00000+ 0 1.90000+ 1 1.18154- 3 2.20759- 2 6.00000+ 0 2.10000+ 1 1.32532- 4 2.21265- 2 6.00000+ 0 2.20000+ 1 1.22895- 4 2.21271- 2 6.00000+ 0 2.70000+ 1 2.20884- 5 2.21321- 2 8.00000+ 0 8.00000+ 0 3.53001- 4 2.40814- 2 8.00000+ 0 1.00000+ 1 3.65463- 4 2.41850- 2 8.00000+ 0 1.10000+ 1 5.02811- 4 2.42167- 2 8.00000+ 0 1.30000+ 1 2.85144- 5 2.44022- 2 8.00000+ 0 1.40000+ 1 3.25300- 5 2.44086- 2 8.00000+ 0 1.60000+ 1 1.34938- 4 2.46836- 2 8.00000+ 0 1.80000+ 1 6.34518- 5 2.47168- 2 8.00000+ 0 1.90000+ 1 8.59411- 5 2.47221- 2 8.00000+ 0 2.10000+ 1 3.21273- 6 2.47727- 2 8.00000+ 0 2.20000+ 1 3.61439- 6 2.47733- 2 8.00000+ 0 2.70000+ 1 6.02394- 6 2.47783- 2 1.00000+ 1 1.00000+ 1 5.14049- 5 2.42886- 2 1.00000+ 1 1.10000+ 1 1.00764- 3 2.43203- 2 1.00000+ 1 1.30000+ 1 3.17261- 5 2.45058- 2 1.00000+ 1 1.40000+ 1 1.10846- 4 2.45123- 2 1.00000+ 1 1.60000+ 1 6.78713- 5 2.47872- 2 1.00000+ 1 1.80000+ 1 1.72694- 5 2.48204- 2 1.00000+ 1 1.90000+ 1 1.67469- 4 2.48257- 2 1.00000+ 1 2.10000+ 1 3.61442- 6 2.48763- 2 1.00000+ 1 2.20000+ 1 1.28514- 5 2.48769- 2 1.00000+ 1 2.70000+ 1 2.81112- 6 2.48819- 2 1.10000+ 1 1.10000+ 1 5.48157- 4 2.43519- 2 1.10000+ 1 1.30000+ 1 1.40147- 4 2.45375- 2 1.10000+ 1 1.40000+ 1 1.28102- 4 2.45439- 2 1.10000+ 1 1.60000+ 1 9.31669- 5 2.48189- 2 1.10000+ 1 1.80000+ 1 1.69473- 4 2.48521- 2 1.10000+ 1 1.90000+ 1 1.83116- 4 2.48573- 2 1.10000+ 1 2.10000+ 1 1.64645- 5 2.49080- 2 1.10000+ 1 2.20000+ 1 1.48585- 5 2.49086- 2 1.10000+ 1 2.70000+ 1 4.01585- 6 2.49136- 2 1.30000+ 1 1.40000+ 1 1.60641- 5 2.47295- 2 1.30000+ 1 1.60000+ 1 5.22099- 6 2.50044- 2 1.30000+ 1 1.80000+ 1 5.22099- 6 2.50376- 2 1.30000+ 1 1.90000+ 1 2.24899- 5 2.50429- 2 1.30000+ 1 2.20000+ 1 1.60641- 6 2.50941- 2 1.30000+ 1 2.70000+ 1 4.01613- 7 2.50991- 2 1.40000+ 1 1.40000+ 1 4.17417- 6 2.47359- 2 1.40000+ 1 1.60000+ 1 6.26116- 6 2.50108- 2 1.40000+ 1 1.80000+ 1 1.83667- 5 2.50440- 2 1.40000+ 1 1.90000+ 1 2.12872- 5 2.50493- 2 1.40000+ 1 2.10000+ 1 1.66963- 6 2.51000- 2 1.40000+ 1 2.20000+ 1 8.34824- 7 2.51006- 2 1.40000+ 1 2.70000+ 1 4.17417- 7 2.51056- 2 1.60000+ 1 1.60000+ 1 1.38173- 5 2.52858- 2 1.60000+ 1 1.80000+ 1 1.25221- 5 2.53190- 2 1.60000+ 1 1.90000+ 1 1.72711- 5 2.53242- 2 1.60000+ 1 2.10000+ 1 8.63567- 7 2.53749- 2 1.60000+ 1 2.20000+ 1 8.63567- 7 2.53755- 2 1.60000+ 1 2.70000+ 1 1.29539- 6 2.53805- 2 1.80000+ 1 1.80000+ 1 1.64374- 6 2.53522- 2 1.80000+ 1 1.90000+ 1 2.87649- 5 2.53574- 2 1.80000+ 1 2.10000+ 1 4.10944- 7 2.54081- 2 1.80000+ 1 2.20000+ 1 2.05452- 6 2.54087- 2 1.80000+ 1 2.70000+ 1 4.10944- 7 2.54137- 2 1.90000+ 1 1.90000+ 1 1.64699- 5 2.53627- 2 1.90000+ 1 2.10000+ 1 3.03387- 6 2.54134- 2 1.90000+ 1 2.20000+ 1 2.60039- 6 2.54140- 2 1.90000+ 1 2.70000+ 1 8.66846- 7 2.54190- 2 2.10000+ 1 2.20000+ 1 4.01610- 7 2.54647- 2 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.68020- 5 2.55300- 4 6.00000+ 0 1.43670- 4 4.33400- 4 1.00000+ 1 4.63860- 3 3.18321- 3 1.10000+ 1 7.71881- 3 3.21487- 3 1.30000+ 1 5.12670- 5 3.40041- 3 1.40000+ 1 7.64721- 5 3.40685- 3 1.80000+ 1 8.29451- 4 3.71499- 3 1.90000+ 1 1.39380- 3 3.72026- 3 2.10000+ 1 4.09120- 6 3.77093- 3 2.20000+ 1 6.10301- 6 3.77154- 3 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 2.96700- 2 1.53690- 4 5.00000+ 0 1.80000+ 1 2.00846- 2 1.86890- 4 5.00000+ 0 1.90000+ 1 2.67853- 2 1.92160- 4 5.00000+ 0 2.10000+ 1 5.41292- 3 2.42830- 4 5.00000+ 0 2.20000+ 1 8.90858- 3 2.43440- 4 5.00000+ 0 2.70000+ 1 1.24959- 3 2.48410- 4 6.00000+ 0 1.30000+ 1 1.57803- 1 5.04100- 5 6.00000+ 0 1.40000+ 1 3.55506- 1 5.68500- 5 6.00000+ 0 1.60000+ 1 4.25130- 2 3.31790- 4 6.00000+ 0 1.80000+ 1 1.84771- 2 3.64990- 4 6.00000+ 0 1.90000+ 1 3.61112- 2 3.70260- 4 6.00000+ 0 2.10000+ 1 2.27109- 2 4.20930- 4 6.00000+ 0 2.20000+ 1 2.95294- 2 4.21540- 4 6.00000+ 0 2.70000+ 1 1.79036- 3 4.26510- 4 8.00000+ 0 8.00000+ 0 7.50775- 3 2.37580- 3 8.00000+ 0 1.00000+ 1 1.48024- 2 2.47941- 3 8.00000+ 0 1.10000+ 1 2.78844- 2 2.51107- 3 8.00000+ 0 1.30000+ 1 2.21083- 2 2.69661- 3 8.00000+ 0 1.40000+ 1 3.16912- 2 2.70305- 3 8.00000+ 0 1.60000+ 1 2.47961- 3 2.97799- 3 8.00000+ 0 1.80000+ 1 2.51377- 3 3.01119- 3 8.00000+ 0 1.90000+ 1 4.67524- 3 3.01646- 3 8.00000+ 0 2.10000+ 1 2.27058- 3 3.06713- 3 8.00000+ 0 2.20000+ 1 3.21109- 3 3.06774- 3 8.00000+ 0 2.70000+ 1 1.05730- 4 3.07271- 3 1.00000+ 1 1.00000+ 1 1.03716- 4 2.58302- 3 1.00000+ 1 1.10000+ 1 6.32378- 4 2.61468- 3 1.00000+ 1 1.30000+ 1 5.40233- 4 2.80022- 3 1.00000+ 1 1.40000+ 1 7.85035- 3 2.80666- 3 1.00000+ 1 1.60000+ 1 1.99219- 3 3.08160- 3 1.00000+ 1 1.80000+ 1 2.01387- 5 3.11480- 3 1.00000+ 1 1.90000+ 1 1.00698- 4 3.12007- 3 1.00000+ 1 2.10000+ 1 5.63904- 5 3.17074- 3 1.00000+ 1 2.20000+ 1 5.56850- 4 3.17135- 3 1.00000+ 1 2.70000+ 1 8.20666- 5 3.17632- 3 1.10000+ 1 1.10000+ 1 6.59578- 4 2.64634- 3 1.10000+ 1 1.30000+ 1 6.23076- 3 2.83188- 3 1.10000+ 1 1.40000+ 1 4.31336- 3 2.83832- 3 1.10000+ 1 1.60000+ 1 3.75399- 3 3.11326- 3 1.10000+ 1 1.80000+ 1 1.00701- 4 3.14646- 3 1.10000+ 1 1.90000+ 1 1.73714- 4 3.15173- 3 1.10000+ 1 2.10000+ 1 4.07844- 4 3.20240- 3 1.10000+ 1 2.20000+ 1 2.89506- 4 3.20301- 3 1.10000+ 1 2.70000+ 1 1.54570- 4 3.20798- 3 1.30000+ 1 1.30000+ 1 1.17964- 3 3.01742- 3 1.30000+ 1 1.40000+ 1 4.51465- 2 3.02386- 3 1.30000+ 1 1.60000+ 1 2.83821- 3 3.29880- 3 1.30000+ 1 1.80000+ 1 1.20333- 4 3.33200- 3 1.30000+ 1 1.90000+ 1 1.03766- 3 3.33727- 3 1.30000+ 1 2.10000+ 1 2.41675- 4 3.38794- 3 1.30000+ 1 2.20000+ 1 3.51077- 3 3.38855- 3 1.30000+ 1 2.70000+ 1 1.16306- 4 3.39352- 3 1.40000+ 1 1.40000+ 1 1.27085- 2 3.03030- 3 1.40000+ 1 1.60000+ 1 4.08464- 3 3.30524- 3 1.40000+ 1 1.80000+ 1 1.23098- 3 3.33844- 3 1.40000+ 1 1.90000+ 1 7.51693- 4 3.34371- 3 1.40000+ 1 2.10000+ 1 3.52131- 3 3.39438- 3 1.40000+ 1 2.20000+ 1 2.05221- 3 3.39499- 3 1.40000+ 1 2.70000+ 1 1.67652- 4 3.39996- 3 1.60000+ 1 1.60000+ 1 1.95363- 4 3.58018- 3 1.60000+ 1 1.80000+ 1 3.38860- 4 3.61338- 3 1.60000+ 1 1.90000+ 1 6.29876- 4 3.61865- 3 1.60000+ 1 2.10000+ 1 2.90528- 4 3.66932- 3 1.60000+ 1 2.20000+ 1 4.12360- 4 3.66993- 3 1.60000+ 1 2.70000+ 1 1.66146- 5 3.67490- 3 1.80000+ 1 1.80000+ 1 1.00697- 6 3.64658- 3 1.80000+ 1 1.90000+ 1 1.61117- 5 3.65185- 3 1.80000+ 1 2.10000+ 1 1.10768- 5 3.70252- 3 1.80000+ 1 2.20000+ 1 8.96183- 5 3.70313- 3 1.80000+ 1 2.70000+ 1 1.40964- 5 3.70810- 3 1.90000+ 1 1.90000+ 1 1.15795- 5 3.65712- 3 1.90000+ 1 2.10000+ 1 7.09902- 5 3.70779- 3 1.90000+ 1 2.20000+ 1 5.18587- 5 3.70840- 3 1.90000+ 1 2.70000+ 1 2.61817- 5 3.71337- 3 2.10000+ 1 2.10000+ 1 1.20830- 5 3.75846- 3 2.10000+ 1 2.20000+ 1 2.87994- 4 3.75907- 3 2.10000+ 1 2.70000+ 1 1.20830- 5 3.76404- 3 2.20000+ 1 2.20000+ 1 8.66014- 5 3.75968- 3 2.20000+ 1 2.70000+ 1 1.71187- 5 3.76465- 3 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.54060- 8 1.78100- 4 8.00000+ 0 3.43680- 3 2.82430- 3 1.10000+ 1 4.07270- 5 2.95957- 3 1.30000+ 1 4.65050- 2 3.14511- 3 1.60000+ 1 3.62160- 4 3.42649- 3 1.90000+ 1 2.68350- 6 3.46496- 3 2.10000+ 1 4.34690- 3 3.51563- 3 2.70000+ 1 8.58879- 6 3.52121- 3 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.40207- 2 7.64900- 5 6.00000+ 0 1.80000+ 1 5.25703- 2 1.09690- 4 6.00000+ 0 1.90000+ 1 1.89685- 2 1.14960- 4 6.00000+ 0 2.10000+ 1 5.38634- 2 1.65630- 4 6.00000+ 0 2.20000+ 1 2.03836- 2 1.66240- 4 6.00000+ 0 2.70000+ 1 5.53415- 4 1.71210- 4 8.00000+ 0 8.00000+ 0 1.24136- 3 2.12050- 3 8.00000+ 0 1.00000+ 1 2.80792- 2 2.22411- 3 8.00000+ 0 1.10000+ 1 2.70218- 3 2.25577- 3 8.00000+ 0 1.30000+ 1 1.77590- 3 2.44131- 3 8.00000+ 0 1.40000+ 1 4.06256- 3 2.44775- 3 8.00000+ 0 1.60000+ 1 3.84671- 4 2.72269- 3 8.00000+ 0 1.80000+ 1 3.38062- 3 2.75589- 3 8.00000+ 0 1.90000+ 1 4.04727- 4 2.76116- 3 8.00000+ 0 2.10000+ 1 1.35699- 4 2.81183- 3 8.00000+ 0 2.20000+ 1 2.72566- 4 2.81244- 3 8.00000+ 0 2.70000+ 1 1.65199- 5 2.81741- 3 1.00000+ 1 1.00000+ 1 2.72170- 2 2.32772- 3 1.00000+ 1 1.10000+ 1 8.77100- 2 2.35938- 3 1.00000+ 1 1.30000+ 1 4.68534- 2 2.54492- 3 1.00000+ 1 1.40000+ 1 8.22458- 2 2.55136- 3 1.00000+ 1 1.60000+ 1 5.49018- 3 2.82630- 3 1.00000+ 1 1.80000+ 1 8.01433- 3 2.85950- 3 1.00000+ 1 1.90000+ 1 1.44490- 2 2.86477- 3 1.00000+ 1 2.10000+ 1 4.79637- 3 2.91544- 3 1.00000+ 1 2.20000+ 1 8.33520- 3 2.91605- 3 1.00000+ 1 2.70000+ 1 2.38344- 4 2.92102- 3 1.10000+ 1 1.10000+ 1 2.34330- 3 2.39104- 3 1.10000+ 1 1.30000+ 1 5.74909- 2 2.57658- 3 1.10000+ 1 1.40000+ 1 7.76771- 3 2.58302- 3 1.10000+ 1 1.60000+ 1 4.56659- 4 2.85796- 3 1.10000+ 1 1.80000+ 1 1.09376- 2 2.89116- 3 1.10000+ 1 1.90000+ 1 6.56053- 4 2.89643- 3 1.10000+ 1 2.10000+ 1 5.16808- 3 2.94710- 3 1.10000+ 1 2.20000+ 1 6.46589- 4 2.94771- 3 1.10000+ 1 2.70000+ 1 2.00593- 5 2.95268- 3 1.30000+ 1 1.30000+ 1 5.17162- 2 2.76212- 3 1.30000+ 1 1.40000+ 1 2.24889- 1 2.76856- 3 1.30000+ 1 1.60000+ 1 3.57530- 4 3.04350- 3 1.30000+ 1 1.80000+ 1 5.85017- 3 3.07670- 3 1.30000+ 1 1.90000+ 1 8.99016- 3 3.08197- 3 1.30000+ 1 2.10000+ 1 9.26857- 3 3.13264- 3 1.30000+ 1 2.20000+ 1 2.11728- 2 3.13325- 3 1.30000+ 1 2.70000+ 1 1.53398- 5 3.13822- 3 1.40000+ 1 1.40000+ 1 1.06886- 2 2.77500- 3 1.40000+ 1 1.60000+ 1 6.80849- 4 3.04994- 3 1.40000+ 1 1.80000+ 1 9.25059- 3 3.08314- 3 1.40000+ 1 1.90000+ 1 1.11623- 3 3.08841- 3 1.40000+ 1 2.10000+ 1 1.75588- 2 3.13908- 3 1.40000+ 1 2.20000+ 1 1.85132- 3 3.13969- 3 1.40000+ 1 2.70000+ 1 2.94986- 5 3.14466- 3 1.60000+ 1 1.60000+ 1 3.86750- 5 3.32488- 3 1.60000+ 1 1.80000+ 1 8.69393- 4 3.35808- 3 1.60000+ 1 1.90000+ 1 8.97247- 5 3.36335- 3 1.60000+ 1 2.10000+ 1 3.40343- 5 3.41402- 3 1.60000+ 1 2.20000+ 1 6.18782- 5 3.41463- 3 1.60000+ 1 2.70000+ 1 3.09398- 6 3.41960- 3 1.80000+ 1 1.80000+ 1 5.72870- 4 3.39128- 3 1.80000+ 1 1.90000+ 1 1.81488- 3 3.39655- 3 1.80000+ 1 2.10000+ 1 5.95447- 4 3.44722- 3 1.80000+ 1 2.20000+ 1 9.49576- 4 3.44783- 3 1.80000+ 1 2.70000+ 1 2.85233- 5 3.45280- 3 1.90000+ 1 1.90000+ 1 4.60176- 5 3.40182- 3 1.90000+ 1 2.10000+ 1 8.14144- 4 3.45249- 3 1.90000+ 1 2.20000+ 1 9.55777- 5 3.45310- 3 1.90000+ 1 2.70000+ 1 2.35989- 6 3.45807- 3 2.10000+ 1 2.10000+ 1 4.11793- 4 3.50316- 3 2.10000+ 1 2.20000+ 1 1.69322- 3 3.50377- 3 2.10000+ 1 2.70000+ 1 1.17988- 6 3.50874- 3 2.20000+ 1 2.20000+ 1 8.43111- 5 3.50438- 3 2.20000+ 1 2.70000+ 1 2.47977- 6 3.50935- 3 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 5.80057- 3 2.64620- 3 1.00000+ 1 2.77053- 5 2.74981- 3 1.10000+ 1 2.60823- 5 2.78147- 3 1.30000+ 1 4.71305- 3 2.96701- 3 1.40000+ 1 4.18065- 2 2.97345- 3 1.60000+ 1 3.76594- 4 3.24839- 3 1.80000+ 1 1.37262- 6 3.28159- 3 1.90000+ 1 1.30602- 6 3.28686- 3 2.10000+ 1 4.33485- 4 3.33753- 3 2.20000+ 1 3.81994- 3 3.33814- 3 2.70000+ 1 1.07151- 5 3.34311- 3 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.56830- 3 1.94240- 3 8.00000+ 0 1.00000+ 1 1.16599- 3 2.04601- 3 8.00000+ 0 1.10000+ 1 3.24760- 2 2.07767- 3 8.00000+ 0 1.30000+ 1 3.15200- 3 2.26321- 3 8.00000+ 0 1.40000+ 1 3.30574- 3 2.26965- 3 8.00000+ 0 1.60000+ 1 4.85617- 4 2.54459- 3 8.00000+ 0 1.80000+ 1 1.69139- 4 2.57779- 3 8.00000+ 0 1.90000+ 1 3.89389- 3 2.58306- 3 8.00000+ 0 2.10000+ 1 1.93475- 4 2.63373- 3 8.00000+ 0 2.20000+ 1 1.90908- 4 2.63434- 3 8.00000+ 0 2.70000+ 1 2.05004- 5 2.63931- 3 1.00000+ 1 1.00000+ 1 4.10019- 4 2.14962- 3 1.00000+ 1 1.10000+ 1 5.37241- 2 2.18128- 3 1.00000+ 1 1.30000+ 1 3.70436- 3 2.36682- 3 1.00000+ 1 1.40000+ 1 3.32171- 2 2.37326- 3 1.00000+ 1 1.60000+ 1 1.93480- 4 2.64820- 3 1.00000+ 1 1.80000+ 1 1.17881- 4 2.68140- 3 1.00000+ 1 1.90000+ 1 6.64992- 3 2.68667- 3 1.00000+ 1 2.10000+ 1 3.57488- 4 2.73734- 3 1.00000+ 1 2.20000+ 1 2.82917- 3 2.73795- 3 1.00000+ 1 2.70000+ 1 7.68776- 6 2.74292- 3 1.10000+ 1 1.10000+ 1 7.67020- 2 2.21294- 3 1.10000+ 1 1.30000+ 1 7.64292- 2 2.39848- 3 1.10000+ 1 1.40000+ 1 1.16709- 1 2.40492- 3 1.10000+ 1 1.60000+ 1 6.29241- 3 2.67986- 3 1.10000+ 1 1.80000+ 1 8.80641- 3 2.71306- 3 1.10000+ 1 1.90000+ 1 2.21180- 2 2.71833- 3 1.10000+ 1 2.10000+ 1 7.58916- 3 2.76900- 3 1.10000+ 1 2.20000+ 1 1.13651- 2 2.76961- 3 1.10000+ 1 2.70000+ 1 2.72920- 4 2.77458- 3 1.30000+ 1 1.30000+ 1 1.09295- 2 2.58402- 3 1.30000+ 1 1.40000+ 1 2.11329- 1 2.59046- 3 1.30000+ 1 1.60000+ 1 5.66329- 4 2.86540- 3 1.30000+ 1 1.80000+ 1 6.02204- 4 2.89860- 3 1.30000+ 1 1.90000+ 1 8.90009- 3 2.90387- 3 1.30000+ 1 2.10000+ 1 1.97062- 3 2.95454- 3 1.30000+ 1 2.20000+ 1 1.66111- 2 2.95515- 3 1.30000+ 1 2.70000+ 1 2.43438- 5 2.96012- 3 1.40000+ 1 1.40000+ 1 1.43784- 1 2.59690- 3 1.40000+ 1 1.60000+ 1 6.31694- 4 2.87184- 3 1.40000+ 1 1.80000+ 1 5.11008- 3 2.90504- 3 1.40000+ 1 1.90000+ 1 1.50159- 2 2.91031- 3 1.40000+ 1 2.10000+ 1 1.92408- 2 2.96098- 3 1.40000+ 1 2.20000+ 1 2.47427- 2 2.96159- 3 1.40000+ 1 2.70000+ 1 2.69076- 5 2.96656- 3 1.60000+ 1 1.60000+ 1 4.84321- 5 3.14678- 3 1.60000+ 1 1.80000+ 1 3.67411- 5 3.17998- 3 1.60000+ 1 1.90000+ 1 9.85335- 4 3.18525- 3 1.60000+ 1 2.10000+ 1 4.67627- 5 3.23592- 3 1.60000+ 1 2.20000+ 1 5.01028- 5 3.23653- 3 1.60000+ 1 2.70000+ 1 3.34023- 6 3.24150- 3 1.80000+ 1 1.80000+ 1 7.74242- 6 3.21318- 3 1.80000+ 1 1.90000+ 1 1.09694- 3 3.21845- 3 1.80000+ 1 2.10000+ 1 5.80704- 5 3.26912- 3 1.80000+ 1 2.20000+ 1 4.47778- 4 3.26973- 3 1.80000+ 1 2.70000+ 1 1.29053- 6 3.27470- 3 1.90000+ 1 1.90000+ 1 1.55162- 3 3.22372- 3 1.90000+ 1 2.10000+ 1 8.85396- 4 3.27439- 3 1.90000+ 1 2.20000+ 1 1.44912- 3 3.27500- 3 1.90000+ 1 2.70000+ 1 3.33142- 5 3.27997- 3 2.10000+ 1 2.10000+ 1 8.71313- 5 3.32506- 3 2.10000+ 1 2.20000+ 1 1.54531- 3 3.32567- 3 2.10000+ 1 2.70000+ 1 1.28145- 6 3.33064- 3 2.20000+ 1 2.20000+ 1 1.04386- 3 3.32628- 3 2.20000+ 1 2.70000+ 1 1.25022- 6 3.33125- 3 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.17609- 5 1.03610- 4 1.10000+ 1 5.40680- 5 1.35270- 4 1.80000+ 1 1.07080- 4 6.35390- 4 1.90000+ 1 1.55547- 4 6.40660- 4 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 4.90814- 2 2.00000- 6 1.00000+ 1 1.80000+ 1 5.06885- 2 3.52000- 5 1.00000+ 1 1.90000+ 1 9.72279- 2 4.04700- 5 1.00000+ 1 2.10000+ 1 4.68491- 2 9.11400- 5 1.00000+ 1 2.20000+ 1 6.18134- 2 9.17500- 5 1.00000+ 1 2.70000+ 1 1.57056- 3 9.67200- 5 1.10000+ 1 1.60000+ 1 7.81284- 2 3.36600- 5 1.10000+ 1 1.80000+ 1 8.61447- 2 6.68600- 5 1.10000+ 1 1.90000+ 1 1.37576- 1 7.21300- 5 1.10000+ 1 2.10000+ 1 4.48569- 2 1.22800- 4 1.10000+ 1 2.20000+ 1 6.63488- 2 1.23410- 4 1.10000+ 1 2.70000+ 1 2.43607- 3 1.28380- 4 1.30000+ 1 1.60000+ 1 3.10946- 2 2.19200- 4 1.30000+ 1 1.80000+ 1 5.92315- 3 2.52400- 4 1.30000+ 1 1.90000+ 1 4.48021- 3 2.57670- 4 1.30000+ 1 2.10000+ 1 4.78314- 3 3.08340- 4 1.30000+ 1 2.20000+ 1 5.49568- 3 3.08950- 4 1.30000+ 1 2.70000+ 1 7.21350- 4 3.13920- 4 1.40000+ 1 1.60000+ 1 4.57588- 2 2.25640- 4 1.40000+ 1 1.80000+ 1 1.68410- 3 2.58840- 4 1.40000+ 1 1.90000+ 1 1.17807- 2 2.64110- 4 1.40000+ 1 2.10000+ 1 5.82763- 3 3.14780- 4 1.40000+ 1 2.20000+ 1 9.45349- 3 3.15390- 4 1.40000+ 1 2.70000+ 1 1.05944- 3 3.20360- 4 1.60000+ 1 1.60000+ 1 1.28606- 2 5.00580- 4 1.60000+ 1 1.80000+ 1 1.93837- 2 5.33780- 4 1.60000+ 1 1.90000+ 1 3.59725- 2 5.39050- 4 1.60000+ 1 2.10000+ 1 2.48813- 2 5.89720- 4 1.60000+ 1 2.20000+ 1 3.59013- 2 5.90330- 4 1.60000+ 1 2.70000+ 1 6.91002- 4 5.95300- 4 1.80000+ 1 1.80000+ 1 1.25464- 3 5.66980- 4 1.80000+ 1 1.90000+ 1 3.01549- 3 5.72250- 4 1.80000+ 1 2.10000+ 1 1.32745- 3 6.22920- 4 1.80000+ 1 2.20000+ 1 3.79271- 4 6.23530- 4 1.80000+ 1 2.70000+ 1 4.79157- 4 6.28500- 4 1.90000+ 1 1.90000+ 1 3.97971- 3 5.77520- 4 1.90000+ 1 2.10000+ 1 1.02827- 3 6.28190- 4 1.90000+ 1 2.20000+ 1 3.11358- 3 6.28800- 4 1.90000+ 1 2.70000+ 1 8.89862- 4 6.33770- 4 2.10000+ 1 2.10000+ 1 3.38126- 4 6.78860- 4 2.10000+ 1 2.20000+ 1 7.59755- 4 6.79470- 4 2.10000+ 1 2.70000+ 1 7.18024- 4 6.84440- 4 2.20000+ 1 2.20000+ 1 7.52422- 4 6.80080- 4 2.20000+ 1 2.70000+ 1 1.16108- 3 6.85050- 4 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.27938- 4 2.17200- 4 1.60000+ 1 2.06329- 4 4.98580- 4 2.10000+ 1 4.15938- 4 5.87720- 4 2.70000+ 1 6.78877- 6 5.93300- 4 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.92673- 2 1.91900- 5 1.10000+ 1 2.20000+ 1 4.57469- 2 1.98000- 5 1.10000+ 1 2.70000+ 1 2.35657- 3 2.47700- 5 1.30000+ 1 1.60000+ 1 1.45617- 1 1.15590- 4 1.30000+ 1 1.80000+ 1 1.48882- 1 1.48790- 4 1.30000+ 1 1.90000+ 1 2.26187- 1 1.54060- 4 1.30000+ 1 2.10000+ 1 4.01223- 2 2.04730- 4 1.30000+ 1 2.20000+ 1 3.75358- 2 2.05340- 4 1.30000+ 1 2.70000+ 1 4.63286- 3 2.10310- 4 1.40000+ 1 1.60000+ 1 2.50795- 2 1.22030- 4 1.40000+ 1 1.80000+ 1 1.93335- 1 1.55230- 4 1.40000+ 1 1.90000+ 1 2.05233- 2 1.60500- 4 1.40000+ 1 2.10000+ 1 4.95939- 3 2.11170- 4 1.40000+ 1 2.20000+ 1 5.55855- 3 2.11780- 4 1.40000+ 1 2.70000+ 1 5.73315- 4 2.16750- 4 1.60000+ 1 1.60000+ 1 6.88665- 4 3.96970- 4 1.60000+ 1 1.80000+ 1 1.01020- 2 4.30170- 4 1.60000+ 1 1.90000+ 1 1.62728- 3 4.35440- 4 1.60000+ 1 2.10000+ 1 3.34769- 4 4.86110- 4 1.60000+ 1 2.20000+ 1 7.62036- 4 4.86720- 4 1.60000+ 1 2.70000+ 1 3.51594- 5 4.91690- 4 1.80000+ 1 1.80000+ 1 6.56237- 3 4.63370- 4 1.80000+ 1 1.90000+ 1 2.06892- 2 4.68640- 4 1.80000+ 1 2.10000+ 1 1.24316- 2 5.19310- 4 1.80000+ 1 2.20000+ 1 2.05715- 2 5.19920- 4 1.80000+ 1 2.70000+ 1 3.08085- 4 5.24890- 4 1.90000+ 1 1.90000+ 1 5.69607- 4 4.73910- 4 1.90000+ 1 2.10000+ 1 1.51634- 3 5.24580- 4 1.90000+ 1 2.20000+ 1 9.87935- 4 5.25190- 4 1.90000+ 1 2.70000+ 1 3.96109- 5 5.30160- 4 2.10000+ 1 2.10000+ 1 3.72564- 4 5.75250- 4 2.10000+ 1 2.20000+ 1 7.46627- 4 5.75860- 4 2.10000+ 1 2.70000+ 1 9.90451- 6 5.80830- 4 2.20000+ 1 2.20000+ 1 1.91000- 4 5.76470- 4 2.20000+ 1 2.70000+ 1 1.91792- 5 5.81440- 4 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.91336- 5 1.85540- 4 1.40000+ 1 2.95566- 4 1.91980- 4 1.60000+ 1 2.51377- 4 4.66920- 4 2.10000+ 1 5.20803- 5 5.56060- 4 2.20000+ 1 4.28195- 4 5.56670- 4 2.70000+ 1 8.22321- 6 5.61640- 4 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 2.98474- 2 8.39300- 5 1.30000+ 1 1.80000+ 1 2.08601- 2 1.17130- 4 1.30000+ 1 1.90000+ 1 1.37843- 1 1.22400- 4 1.30000+ 1 2.10000+ 1 9.70871- 3 1.73070- 4 1.30000+ 1 2.20000+ 1 6.57618- 3 1.73680- 4 1.30000+ 1 2.70000+ 1 7.88437- 4 1.78650- 4 1.40000+ 1 1.60000+ 1 1.39899- 1 9.03700- 5 1.40000+ 1 1.80000+ 1 1.38922- 1 1.23570- 4 1.40000+ 1 1.90000+ 1 2.95727- 1 1.28840- 4 1.40000+ 1 2.10000+ 1 3.21096- 2 1.79510- 4 1.40000+ 1 2.20000+ 1 6.05906- 2 1.80120- 4 1.40000+ 1 2.70000+ 1 4.36072- 3 1.85090- 4 1.60000+ 1 1.60000+ 1 9.33720- 4 3.65310- 4 1.60000+ 1 1.80000+ 1 1.36100- 3 3.98510- 4 1.60000+ 1 1.90000+ 1 1.98467- 2 4.03780- 4 1.60000+ 1 2.10000+ 1 9.03667- 4 4.54450- 4 1.60000+ 1 2.20000+ 1 1.03341- 3 4.55060- 4 1.60000+ 1 2.70000+ 1 4.77785- 5 4.60030- 4 1.80000+ 1 1.80000+ 1 2.13114- 4 4.31710- 4 1.80000+ 1 1.90000+ 1 1.86909- 2 4.36980- 4 1.80000+ 1 2.10000+ 1 4.44510- 4 4.87650- 4 1.80000+ 1 2.20000+ 1 2.13357- 3 4.88260- 4 1.80000+ 1 2.70000+ 1 2.92286- 5 4.93230- 4 1.90000+ 1 1.90000+ 1 2.41584- 2 4.42250- 4 1.90000+ 1 2.10000+ 1 2.12754- 2 4.92920- 4 1.90000+ 1 2.20000+ 1 2.87896- 2 4.93530- 4 1.90000+ 1 2.70000+ 1 4.74156- 4 4.98500- 4 2.10000+ 1 2.10000+ 1 9.57190- 5 5.43590- 4 2.10000+ 1 2.20000+ 1 6.94116- 4 5.44200- 4 2.10000+ 1 2.70000+ 1 1.03294- 5 5.49170- 4 2.20000+ 1 2.20000+ 1 5.54075- 4 5.44810- 4 2.20000+ 1 2.70000+ 1 1.34972- 5 5.49780- 4 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 4.96493- 4 3.14580- 4 1.90000+ 1 8.38964- 5 3.19850- 4 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.36972- 3 1.79770- 4 1.60000+ 1 1.80000+ 1 1.65080- 2 2.12970- 4 1.60000+ 1 1.90000+ 1 1.68149- 2 2.18240- 4 1.60000+ 1 2.10000+ 1 1.47468- 1 2.68910- 4 1.60000+ 1 2.20000+ 1 2.54562- 2 2.69520- 4 1.60000+ 1 2.70000+ 1 5.40635- 5 2.74490- 4 1.80000+ 1 1.80000+ 1 1.26149- 3 2.46170- 4 1.80000+ 1 1.90000+ 1 2.58785- 2 2.51440- 4 1.80000+ 1 2.10000+ 1 1.06279- 1 3.02110- 4 1.80000+ 1 2.20000+ 1 9.53303- 3 3.02720- 4 1.80000+ 1 2.70000+ 1 1.89219- 4 3.07690- 4 1.90000+ 1 1.90000+ 1 1.11640- 2 2.56710- 4 1.90000+ 1 2.10000+ 1 2.36616- 1 3.07380- 4 1.90000+ 1 2.20000+ 1 1.02005- 2 3.07990- 4 1.90000+ 1 2.70000+ 1 2.61304- 4 3.12960- 4 2.10000+ 1 2.10000+ 1 1.25271- 1 3.58050- 4 2.10000+ 1 2.20000+ 1 2.56030- 1 3.58660- 4 2.10000+ 1 2.70000+ 1 4.09092- 3 3.63630- 4 2.20000+ 1 2.20000+ 1 4.55197- 3 3.59270- 4 2.20000+ 1 2.70000+ 1 4.22359- 4 3.64240- 4 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 5.18596- 4 3.13410- 4 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.87976- 3 1.73330- 4 1.60000+ 1 1.80000+ 1 1.02446- 2 2.06530- 4 1.60000+ 1 1.90000+ 1 2.62179- 2 2.11800- 4 1.60000+ 1 2.10000+ 1 1.86547- 2 2.62470- 4 1.60000+ 1 2.20000+ 1 1.54974- 1 2.63080- 4 1.60000+ 1 2.70000+ 1 7.12716- 5 2.68050- 4 1.80000+ 1 1.80000+ 1 6.23610- 5 2.39730- 4 1.80000+ 1 1.90000+ 1 2.63160- 2 2.45000- 4 1.80000+ 1 2.10000+ 1 2.36087- 3 2.95670- 4 1.80000+ 1 2.20000+ 1 1.29281- 1 2.96280- 4 1.80000+ 1 2.70000+ 1 1.51456- 4 3.01250- 4 1.90000+ 1 1.90000+ 1 1.69621- 2 2.50270- 4 1.90000+ 1 2.10000+ 1 1.22311- 2 3.00940- 4 1.90000+ 1 2.20000+ 1 2.15320- 1 3.01550- 4 1.90000+ 1 2.70000+ 1 3.29623- 4 3.06520- 4 2.10000+ 1 2.10000+ 1 1.84422- 3 3.51610- 4 2.10000+ 1 2.20000+ 1 1.76244- 1 3.52220- 4 2.10000+ 1 2.70000+ 1 2.93989- 4 3.57190- 4 2.20000+ 1 2.20000+ 1 2.01873- 1 3.52830- 4 2.20000+ 1 2.70000+ 1 4.16944- 3 3.57800- 4 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 6.37280- 6 3.32000- 5 1.90000+ 1 1.80641- 5 3.84700- 5 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10000+ 1 5.68739- 2 2.07300- 5 1.80000+ 1 2.20000+ 1 1.94698- 1 2.13400- 5 1.80000+ 1 2.70000+ 1 4.22850- 3 2.63100- 5 1.90000+ 1 2.10000+ 1 3.39415- 1 2.60000- 5 1.90000+ 1 2.20000+ 1 3.55464- 1 2.66100- 5 1.90000+ 1 2.70000+ 1 6.90197- 3 3.15800- 5 2.10000+ 1 2.10000+ 1 9.12451- 4 7.66700- 5 2.10000+ 1 2.20000+ 1 2.95812- 2 7.72800- 5 2.10000+ 1 2.70000+ 1 1.95331- 3 8.22500- 5 2.20000+ 1 2.20000+ 1 7.48201- 3 7.78900- 5 2.20000+ 1 2.70000+ 1 2.46620- 3 8.28600- 5 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.82340- 5 5.59400- 5 2.70000+ 1 4.04071- 7 6.15200- 5 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 1.62928- 1 4.34700- 5 2.10000+ 1 2.20000+ 1 8.02579- 1 4.40800- 5 2.10000+ 1 2.70000+ 1 5.74532- 3 4.90500- 5 2.20000+ 1 2.20000+ 1 2.81442- 2 4.46900- 5 2.20000+ 1 2.70000+ 1 5.84824- 4 4.96600- 5 1 47000 0 7 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 4.82828- 7 5.06700- 5 2.20000+ 1 4.50238- 6 5.12800- 5 2.70000+ 1 1.41619- 7 5.62500- 5 1 47000 0 9 1.07868+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 2.36138- 2 3.82000- 5 2.10000+ 1 2.20000+ 1 5.88646- 1 3.88100- 5 2.10000+ 1 2.70000+ 1 1.24719- 3 4.37800- 5 2.20000+ 1 2.20000+ 1 3.80450- 1 3.94200- 5 2.20000+ 1 2.70000+ 1 6.03830- 3 4.43900- 5 1 48000 0 0 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.70000+ 1 2.00000+ 0 1 48000 0 0 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.66880- 2 3.00000+ 0 3.99410- 3 5.00000+ 0 3.73090- 3 6.00000+ 0 3.53540- 3 8.00000+ 0 7.55370- 4 1.00000+ 1 6.47790- 4 1.10000+ 1 6.12630- 4 1.30000+ 1 4.20060- 4 1.40000+ 1 4.12860- 4 1.60000+ 1 1.13360- 4 1.80000+ 1 7.82200- 5 1.90000+ 1 7.21900- 5 2.10000+ 1 1.77100- 5 2.20000+ 1 1.69700- 5 2.70000+ 1 8.22000- 6 1 48000 0 0 1.12410+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.38780- 2 3.00000+ 0 7.24690- 3 5.00000+ 0 7.25370- 3 6.00000+ 0 6.54310- 3 8.00000+ 0 2.04060- 3 1.00000+ 1 1.97710- 3 1.10000+ 1 1.82230- 3 1.30000+ 1 1.70270- 3 1.40000+ 1 1.66530- 3 1.60000+ 1 5.26190- 4 1.80000+ 1 4.62500- 4 1.90000+ 1 4.25500- 4 2.10000+ 1 2.73900- 4 2.20000+ 1 2.66000- 4 2.70000+ 1 5.21900- 5 1 48000 0 0 1.12410+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.60560-10 3.00000+ 0 6.92000-10 5.00000+ 0 5.85030-10 6.00000+ 0 6.12450-10 8.00000+ 0 1.88020- 9 1.00000+ 1 1.83040- 9 1.10000+ 1 1.88750- 9 1.30000+ 1 1.73500- 9 1.40000+ 1 1.75320- 9 1.60000+ 1 4.59530- 9 1.80000+ 1 4.88490- 9 1.90000+ 1 5.04320- 9 2.10000+ 1 6.40250- 9 2.20000+ 1 6.49520- 9 2.70000+ 1 1.50680- 8 1 48000 0 0 1.12410+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.93860- 6 3.00000+ 0 8.52250- 8 5.00000+ 0 1.41450- 7 6.00000+ 0 1.34830- 7 8.00000+ 0 1.56130- 9 1.00000+ 1 1.56670- 9 1.10000+ 1 1.48270- 9 1.30000+ 1 1.17800-10 1.40000+ 1 1.04060-10 1.60000+ 1 3.42280-11 1.80000+ 1 1.01090-10 1.90000+ 1 8.30390-11 1 48000 0 0 1.12410+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.15390- 6 3.00000+ 0 4.19470- 6 5.00000+ 0 2.26050- 6 6.00000+ 0 2.07700- 6 8.00000+ 0 1.17130- 5 1.00000+ 1 3.83190- 6 1.10000+ 1 4.07220- 6 1.30000+ 1 3.43480- 7 1.40000+ 1 3.48270- 7 1.60000+ 1 2.53420- 5 1.80000+ 1 1.64700- 5 1.90000+ 1 1.77340- 5 1 48000 0 0 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.25901- 4 3.00000+ 0 1.46419- 4 5.00000+ 0 1.17298- 4 6.00000+ 0 1.11660- 4 8.00000+ 0 1.03454- 4 1.00000+ 1 8.31198- 5 1.10000+ 1 8.06400- 5 1.30000+ 1 4.88625- 5 1.40000+ 1 4.85638- 5 1.60000+ 1 5.00757- 5 1.80000+ 1 3.46649- 5 1.90000+ 1 3.42840- 5 2.10000+ 1 1.77100- 5 2.20000+ 1 1.69700- 5 2.70000+ 1 8.22000- 6 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.07031- 1 3.00000+ 0 6.56994- 2 5.00000+ 0 7.10827- 2 6.00000+ 0 6.32777- 2 8.00000+ 0 1.80984- 3 1.00000+ 1 1.92318- 3 1.10000+ 1 1.79703- 3 1.30000+ 1 7.45516- 4 1.40000+ 1 6.71120- 4 1.60000+ 1 4.02881- 5 1.80000+ 1 2.55394- 5 1.90000+ 1 7.11945- 6 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.01073- 2 3.00000+ 0 2.06806- 4 5.00000+ 0 2.28634- 4 6.00000+ 0 1.92335- 4 8.00000+ 0 8.00526- 7 1.00000+ 1 8.01787- 7 1.10000+ 1 7.54979- 7 1.30000+ 1 2.51456- 7 1.40000+ 1 2.24521- 7 1.60000+ 1 1.79869- 9 1.80000+ 1 1.55814- 9 1.90000+ 1 3.96876-10 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.34054+ 0 3.00000+ 0 7.54703+ 0 5.00000+ 0 5.82744+ 0 6.00000+ 0 5.51436+ 0 8.00000+ 0 5.05678+ 0 1.00000+ 1 3.83766+ 0 1.10000+ 1 3.70971+ 0 1.30000+ 1 1.82521+ 0 1.40000+ 1 1.84205+ 0 1.60000+ 1 1.93707+ 0 1.80000+ 1 9.99974- 1 1.90000+ 1 9.99993- 1 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.45484- 3 3.00000+ 0 3.64088- 3 5.00000+ 0 3.38497- 3 6.00000+ 0 3.23140- 3 8.00000+ 0 6.51116- 4 1.00000+ 1 5.63868- 4 1.10000+ 1 5.31235- 4 1.30000+ 1 3.70946- 4 1.40000+ 1 3.64072- 4 1.60000+ 1 6.32825- 5 1.80000+ 1 4.35535- 5 1.90000+ 1 3.79056- 5 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.43038- 1 2.29571- 2 6.00000+ 0 4.56837- 1 2.31526- 2 1.00000+ 1 4.03067- 2 2.60402- 2 1.10000+ 1 7.82974- 2 2.60754- 2 1.30000+ 1 2.88988- 4 2.62679- 2 1.40000+ 1 4.02237- 4 2.62751- 2 1.80000+ 1 8.20524- 3 2.66098- 2 1.90000+ 1 1.59199- 2 2.66158- 2 2.10000+ 1 3.60657- 5 2.66703- 2 2.20000+ 1 4.96946- 5 2.66710- 2 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 1.17163- 2 1.86998- 2 3.00000+ 0 5.00000+ 0 1.35877- 2 1.89630- 2 3.00000+ 0 6.00000+ 0 1.84885- 2 1.91585- 2 3.00000+ 0 8.00000+ 0 4.01440- 3 2.19385- 2 3.00000+ 0 1.00000+ 1 2.46821- 3 2.20461- 2 3.00000+ 0 1.10000+ 1 3.36905- 3 2.20813- 2 3.00000+ 0 1.30000+ 1 2.08296- 4 2.22738- 2 3.00000+ 0 1.40000+ 1 2.40796- 4 2.22810- 2 3.00000+ 0 1.60000+ 1 7.86285- 4 2.25805- 2 3.00000+ 0 1.80000+ 1 4.39859- 4 2.26157- 2 3.00000+ 0 1.90000+ 1 5.93497- 4 2.26217- 2 3.00000+ 0 2.10000+ 1 2.69607- 5 2.26762- 2 3.00000+ 0 2.20000+ 1 3.06533- 5 2.26769- 2 3.00000+ 0 2.70000+ 1 7.60795- 5 2.26857- 2 5.00000+ 0 5.00000+ 0 1.89140- 3 1.92262- 2 5.00000+ 0 6.00000+ 0 4.10623- 2 1.94217- 2 5.00000+ 0 8.00000+ 0 1.92787- 3 2.22017- 2 5.00000+ 0 1.00000+ 1 6.19718- 4 2.23093- 2 5.00000+ 0 1.10000+ 1 6.25946- 3 2.23445- 2 5.00000+ 0 1.30000+ 1 2.59990- 4 2.25370- 2 5.00000+ 0 1.40000+ 1 8.96323- 4 2.25442- 2 5.00000+ 0 1.60000+ 1 3.64156- 4 2.28437- 2 5.00000+ 0 1.80000+ 1 1.08577- 4 2.28789- 2 5.00000+ 0 1.90000+ 1 1.06988- 3 2.28849- 2 5.00000+ 0 2.10000+ 1 3.32390- 5 2.29394- 2 5.00000+ 0 2.20000+ 1 1.12638- 4 2.29401- 2 5.00000+ 0 2.70000+ 1 3.50843- 5 2.29489- 2 6.00000+ 0 6.00000+ 0 2.11080- 2 1.96172- 2 6.00000+ 0 8.00000+ 0 2.59664- 3 2.23972- 2 6.00000+ 0 1.00000+ 1 6.15352- 3 2.25048- 2 6.00000+ 0 1.10000+ 1 6.59576- 3 2.25400- 2 6.00000+ 0 1.30000+ 1 1.08028- 3 2.27325- 2 6.00000+ 0 1.40000+ 1 1.01011- 3 2.27397- 2 6.00000+ 0 1.60000+ 1 4.89717- 4 2.30392- 2 6.00000+ 0 1.80000+ 1 1.06218- 3 2.30744- 2 6.00000+ 0 1.90000+ 1 1.13342- 3 2.30804- 2 6.00000+ 0 2.10000+ 1 1.37379- 4 2.31349- 2 6.00000+ 0 2.20000+ 1 1.27416- 4 2.31356- 2 6.00000+ 0 2.70000+ 1 4.72736- 5 2.31444- 2 8.00000+ 0 8.00000+ 0 3.38662- 4 2.51773- 2 8.00000+ 0 1.00000+ 1 3.53449- 4 2.52848- 2 8.00000+ 0 1.10000+ 1 4.76794- 4 2.53200- 2 8.00000+ 0 1.30000+ 1 2.76985- 5 2.55126- 2 8.00000+ 0 1.40000+ 1 3.10234- 5 2.55198- 2 8.00000+ 0 1.60000+ 1 1.32221- 4 2.58193- 2 8.00000+ 0 1.80000+ 1 6.31531- 5 2.58544- 2 8.00000+ 0 1.90000+ 1 8.42054- 5 2.58604- 2 8.00000+ 0 2.10000+ 1 3.69332- 6 2.59149- 2 8.00000+ 0 2.20000+ 1 4.06260- 6 2.59157- 2 8.00000+ 0 2.70000+ 1 1.29266- 5 2.59244- 2 1.00000+ 1 1.00000+ 1 4.87532- 5 2.53924- 2 1.00000+ 1 1.10000+ 1 9.52152- 4 2.54276- 2 1.00000+ 1 1.30000+ 1 3.06553- 5 2.56201- 2 1.00000+ 1 1.40000+ 1 1.06004- 4 2.56273- 2 1.00000+ 1 1.60000+ 1 6.68511- 5 2.59268- 2 1.00000+ 1 1.80000+ 1 1.69908- 5 2.59620- 2 1.00000+ 1 1.90000+ 1 1.63246- 4 2.59680- 2 1.00000+ 1 2.10000+ 1 4.06280- 6 2.60225- 2 1.00000+ 1 2.20000+ 1 1.32959- 5 2.60232- 2 1.00000+ 1 2.70000+ 1 6.27885- 6 2.60320- 2 1.10000+ 1 1.10000+ 1 5.16701- 4 2.54627- 2 1.10000+ 1 1.30000+ 1 1.34074- 4 2.56553- 2 1.10000+ 1 1.40000+ 1 1.22252- 4 2.56625- 2 1.10000+ 1 1.60000+ 1 9.01170- 5 2.59620- 2 1.10000+ 1 1.80000+ 1 1.64716- 4 2.59971- 2 1.10000+ 1 1.90000+ 1 1.77635- 4 2.60032- 2 1.10000+ 1 2.10000+ 1 1.69905- 5 2.60577- 2 1.10000+ 1 2.20000+ 1 1.55118- 5 2.60584- 2 1.10000+ 1 2.70000+ 1 8.49474- 6 2.60671- 2 1.30000+ 1 1.40000+ 1 1.55110- 5 2.58551- 2 1.30000+ 1 1.60000+ 1 5.17040- 6 2.61546- 2 1.30000+ 1 1.80000+ 1 5.17040- 6 2.61897- 2 1.30000+ 1 1.90000+ 1 2.21589- 5 2.61957- 2 1.30000+ 1 2.20000+ 1 1.84662- 6 2.62510- 2 1.30000+ 1 2.70000+ 1 3.69324- 7 2.62597- 2 1.40000+ 1 1.40000+ 1 3.83010- 6 2.58623- 2 1.40000+ 1 1.60000+ 1 6.12810- 6 2.61618- 2 1.40000+ 1 1.80000+ 1 1.80005- 5 2.61969- 2 1.40000+ 1 1.90000+ 1 2.06819- 5 2.62029- 2 1.40000+ 1 2.10000+ 1 1.91505- 6 2.62574- 2 1.40000+ 1 2.20000+ 1 7.66000- 7 2.62582- 2 1.40000+ 1 2.70000+ 1 7.66000- 7 2.62669- 2 1.60000+ 1 1.60000+ 1 1.35667- 5 2.64613- 2 1.60000+ 1 1.80000+ 1 1.24038- 5 2.64964- 2 1.60000+ 1 1.90000+ 1 1.66674- 5 2.65024- 2 1.60000+ 1 2.10000+ 1 7.75224- 7 2.65569- 2 1.60000+ 1 2.20000+ 1 7.75224- 7 2.65577- 2 1.60000+ 1 2.70000+ 1 2.71324- 6 2.65664- 2 1.80000+ 1 1.80000+ 1 1.47728- 6 2.65316- 2 1.80000+ 1 1.90000+ 1 2.80679- 5 2.65376- 2 1.80000+ 1 2.10000+ 1 7.38638- 7 2.65921- 2 1.80000+ 1 2.20000+ 1 2.21592- 6 2.65928- 2 1.80000+ 1 2.70000+ 1 1.10800- 6 2.66016- 2 1.90000+ 1 1.90000+ 1 1.63497- 5 2.65436- 2 1.90000+ 1 2.10000+ 1 3.19044- 6 2.65981- 2 1.90000+ 1 2.20000+ 1 2.79149- 6 2.65988- 2 1.90000+ 1 2.70000+ 1 1.59516- 6 2.66076- 2 2.10000+ 1 2.20000+ 1 4.05707- 7 2.66533- 2 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.87570- 5 2.63200- 4 6.00000+ 0 1.64670- 4 4.58700- 4 1.00000+ 1 6.45791- 3 3.34631- 3 1.10000+ 1 1.06670- 2 3.38147- 3 1.30000+ 1 7.47191- 5 3.57404- 3 1.40000+ 1 1.11450- 4 3.58124- 3 1.80000+ 1 1.19010- 3 3.91588- 3 1.90000+ 1 1.98980- 3 3.92191- 3 2.10000+ 1 6.51711- 6 3.97639- 3 2.20000+ 1 9.75711- 6 3.97713- 3 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 3.84431- 2 1.49840- 4 5.00000+ 0 1.80000+ 1 2.64697- 2 1.84980- 4 5.00000+ 0 1.90000+ 1 3.50907- 2 1.91010- 4 5.00000+ 0 2.10000+ 1 7.48961- 3 2.45490- 4 5.00000+ 0 2.20000+ 1 1.22871- 2 2.46230- 4 5.00000+ 0 2.70000+ 1 3.62988- 3 2.54980- 4 6.00000+ 0 1.30000+ 1 1.02638- 1 3.86400- 5 6.00000+ 0 1.40000+ 1 2.51670- 1 4.58400- 5 6.00000+ 0 1.60000+ 1 5.44658- 2 3.45340- 4 6.00000+ 0 1.80000+ 1 2.38780- 2 3.80480- 4 6.00000+ 0 1.90000+ 1 4.64661- 2 3.86510- 4 6.00000+ 0 2.10000+ 1 3.18858- 2 4.40990- 4 6.00000+ 0 2.20000+ 1 4.14022- 2 4.41730- 4 6.00000+ 0 2.70000+ 1 5.13472- 3 4.50480- 4 8.00000+ 0 8.00000+ 0 9.65185- 3 2.48336- 3 8.00000+ 0 1.00000+ 1 1.90665- 2 2.59094- 3 8.00000+ 0 1.10000+ 1 3.58278- 2 2.62610- 3 8.00000+ 0 1.30000+ 1 2.84744- 2 2.81867- 3 8.00000+ 0 1.40000+ 1 4.07401- 2 2.82587- 3 8.00000+ 0 1.60000+ 1 3.24824- 3 3.12537- 3 8.00000+ 0 1.80000+ 1 3.33128- 3 3.16051- 3 8.00000+ 0 1.90000+ 1 6.18383- 3 3.16654- 3 8.00000+ 0 2.10000+ 1 3.19738- 3 3.22102- 3 8.00000+ 0 2.20000+ 1 4.52127- 3 3.22176- 3 8.00000+ 0 2.70000+ 1 3.07477- 4 3.23051- 3 1.00000+ 1 1.00000+ 1 1.27059- 4 2.69852- 3 1.00000+ 1 1.10000+ 1 8.03613- 4 2.73368- 3 1.00000+ 1 1.30000+ 1 7.19757- 4 2.92625- 3 1.00000+ 1 1.40000+ 1 1.02098- 2 2.93345- 3 1.00000+ 1 1.60000+ 1 2.60661- 3 3.23295- 3 1.00000+ 1 1.80000+ 1 2.54097- 5 3.26809- 3 1.00000+ 1 1.90000+ 1 1.32135- 4 3.27412- 3 1.00000+ 1 2.10000+ 1 8.19491- 5 3.32860- 3 1.00000+ 1 2.20000+ 1 7.86456- 4 3.32934- 3 1.00000+ 1 2.70000+ 1 2.38220- 4 3.33809- 3 1.10000+ 1 1.10000+ 1 8.38538- 4 2.76884- 3 1.10000+ 1 1.30000+ 1 7.95612- 3 2.96141- 3 1.10000+ 1 1.40000+ 1 5.49752- 3 2.96861- 3 1.10000+ 1 1.60000+ 1 4.89980- 3 3.26811- 3 1.10000+ 1 1.80000+ 1 1.32135- 4 3.30325- 3 1.10000+ 1 1.90000+ 1 2.26789- 4 3.30928- 3 1.10000+ 1 2.10000+ 1 5.60304- 4 3.36376- 3 1.10000+ 1 2.20000+ 1 3.98942- 4 3.36450- 3 1.10000+ 1 2.70000+ 1 4.47873- 4 3.37325- 3 1.30000+ 1 1.30000+ 1 1.54239- 3 3.15398- 3 1.30000+ 1 1.40000+ 1 5.82533- 2 3.16118- 3 1.30000+ 1 1.60000+ 1 3.71699- 3 3.46068- 3 1.30000+ 1 1.80000+ 1 1.63902- 4 3.49582- 3 1.30000+ 1 1.90000+ 1 1.36773- 3 3.50185- 3 1.30000+ 1 2.10000+ 1 3.44310- 4 3.55633- 3 1.30000+ 1 2.20000+ 1 4.92653- 3 3.55707- 3 1.30000+ 1 2.70000+ 1 3.37965- 4 3.56582- 3 1.40000+ 1 1.40000+ 1 1.64120- 2 3.16838- 3 1.40000+ 1 1.60000+ 1 5.34065- 3 3.46788- 3 1.40000+ 1 1.80000+ 1 1.64409- 3 3.50302- 3 1.40000+ 1 1.90000+ 1 9.89097- 4 3.50905- 3 1.40000+ 1 2.10000+ 1 4.92766- 3 3.56353- 3 1.40000+ 1 2.20000+ 1 2.88460- 3 3.56427- 3 1.40000+ 1 2.70000+ 1 4.85962- 4 3.57302- 3 1.60000+ 1 1.60000+ 1 2.60445- 4 3.76738- 3 1.60000+ 1 1.80000+ 1 4.56112- 4 3.80252- 3 1.60000+ 1 1.90000+ 1 8.47451- 4 3.80855- 3 1.60000+ 1 2.10000+ 1 4.16103- 4 3.86303- 3 1.60000+ 1 2.20000+ 1 5.90177- 4 3.86377- 3 1.60000+ 1 2.70000+ 1 4.89145- 5 3.87252- 3 1.80000+ 1 1.80000+ 1 1.27059- 6 3.83766- 3 1.80000+ 1 1.90000+ 1 2.22343- 5 3.84369- 3 1.80000+ 1 2.10000+ 1 1.58814- 5 3.89817- 3 1.80000+ 1 2.20000+ 1 1.30227- 4 3.89891- 3 1.80000+ 1 2.70000+ 1 4.19267- 5 3.90766- 3 1.90000+ 1 1.90000+ 1 1.52471- 5 3.84972- 3 1.90000+ 1 2.10000+ 1 1.00371- 4 3.90420- 3 1.90000+ 1 2.20000+ 1 7.43283- 5 3.90494- 3 1.90000+ 1 2.70000+ 1 7.75040- 5 3.91369- 3 2.10000+ 1 2.10000+ 1 1.84225- 5 3.95868- 3 2.10000+ 1 2.20000+ 1 4.38973- 4 3.95942- 3 2.10000+ 1 2.70000+ 1 3.81149- 5 3.96817- 3 2.20000+ 1 2.20000+ 1 1.32134- 4 3.96016- 3 2.20000+ 1 2.70000+ 1 5.39965- 5 3.96891- 3 2.70000+ 1 2.70000+ 1 2.54100- 6 3.97766- 3 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.89701- 8 1.95500- 4 8.00000+ 0 3.51722- 3 2.97553- 3 1.10000+ 1 4.29162- 5 3.11827- 3 1.30000+ 1 4.99682- 2 3.31084- 3 1.60000+ 1 3.88632- 4 3.61754- 3 1.90000+ 1 3.11932- 6 3.65871- 3 2.10000+ 1 5.14243- 3 3.71319- 3 2.70000+ 1 2.27301- 5 3.72268- 3 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.35397- 2 8.21400- 5 6.00000+ 0 1.80000+ 1 5.20491- 2 1.17280- 4 6.00000+ 0 1.90000+ 1 1.86095- 2 1.23310- 4 6.00000+ 0 2.10000+ 1 5.63771- 2 1.77790- 4 6.00000+ 0 2.20000+ 1 2.12343- 2 1.78530- 4 6.00000+ 0 2.70000+ 1 1.18106- 3 1.87280- 4 8.00000+ 0 8.00000+ 0 1.20144- 3 2.22016- 3 8.00000+ 0 1.00000+ 1 2.74784- 2 2.32774- 3 8.00000+ 0 1.10000+ 1 2.65309- 3 2.36290- 3 8.00000+ 0 1.30000+ 1 1.78009- 3 2.55547- 3 8.00000+ 0 1.40000+ 1 3.97108- 3 2.56267- 3 8.00000+ 0 1.60000+ 1 3.78197- 4 2.86217- 3 8.00000+ 0 1.80000+ 1 3.38795- 3 2.89731- 3 8.00000+ 0 1.90000+ 1 4.08772- 4 2.90334- 3 8.00000+ 0 2.10000+ 1 1.48331- 4 2.95782- 3 8.00000+ 0 2.20000+ 1 2.88738- 4 2.95856- 3 8.00000+ 0 2.70000+ 1 3.51019- 5 2.96731- 3 1.00000+ 1 1.00000+ 1 2.67128- 2 2.43532- 3 1.00000+ 1 1.10000+ 1 8.57155- 2 2.47048- 3 1.00000+ 1 1.30000+ 1 4.60022- 2 2.66305- 3 1.00000+ 1 1.40000+ 1 8.03891- 2 2.67025- 3 1.00000+ 1 1.60000+ 1 5.48818- 3 2.96975- 3 1.00000+ 1 1.80000+ 1 8.08099- 3 3.00489- 3 1.00000+ 1 1.90000+ 1 1.45427- 2 3.01092- 3 1.00000+ 1 2.10000+ 1 5.14535- 3 3.06540- 3 1.00000+ 1 2.20000+ 1 8.92356- 3 3.06614- 3 1.00000+ 1 2.70000+ 1 5.31046- 4 3.07489- 3 1.10000+ 1 1.10000+ 1 2.28494- 3 2.50564- 3 1.10000+ 1 1.30000+ 1 5.62778- 2 2.69821- 3 1.10000+ 1 1.40000+ 1 7.59427- 3 2.70541- 3 1.10000+ 1 1.60000+ 1 4.57447- 4 3.00491- 3 1.10000+ 1 1.80000+ 1 1.09488- 2 3.04005- 3 1.10000+ 1 1.90000+ 1 6.57854- 4 3.04608- 3 1.10000+ 1 2.10000+ 1 5.50664- 3 3.10056- 3 1.10000+ 1 2.20000+ 1 6.89568- 4 3.10130- 3 1.10000+ 1 2.70000+ 1 4.30279- 5 3.11005- 3 1.30000+ 1 1.30000+ 1 5.07838- 2 2.89078- 3 1.30000+ 1 1.40000+ 1 2.20345- 1 2.89798- 3 1.30000+ 1 1.60000+ 1 3.65735- 4 3.19748- 3 1.30000+ 1 1.80000+ 1 5.88349- 3 3.23262- 3 1.30000+ 1 1.90000+ 1 9.05398- 3 3.23865- 3 1.30000+ 1 2.10000+ 1 9.91457- 3 3.29313- 3 1.30000+ 1 2.20000+ 1 2.26802- 2 3.29387- 3 1.30000+ 1 2.70000+ 1 3.51012- 5 3.30262- 3 1.40000+ 1 1.40000+ 1 1.04771- 2 2.90518- 3 1.40000+ 1 1.60000+ 1 6.77130- 4 3.20468- 3 1.40000+ 1 1.80000+ 1 9.24437- 3 3.23982- 3 1.40000+ 1 1.90000+ 1 1.12208- 3 3.24585- 3 1.40000+ 1 2.10000+ 1 1.86555- 2 3.30033- 3 1.40000+ 1 2.20000+ 1 1.98050- 3 3.30107- 3 1.40000+ 1 2.70000+ 1 6.45415- 5 3.30982- 3 1.60000+ 1 1.60000+ 1 3.76124- 5 3.50418- 3 1.60000+ 1 1.80000+ 1 8.67955- 4 3.53932- 3 1.60000+ 1 1.90000+ 1 9.11384- 5 3.54535- 3 1.60000+ 1 2.10000+ 1 3.76124- 5 3.59983- 3 1.60000+ 1 2.20000+ 1 6.36540- 5 3.60057- 3 1.60000+ 1 2.70000+ 1 7.23298- 6 3.60932- 3 1.80000+ 1 1.80000+ 1 5.89149- 4 3.57446- 3 1.80000+ 1 1.90000+ 1 1.85796- 3 3.58049- 3 1.80000+ 1 2.10000+ 1 6.50314- 4 3.63497- 3 1.80000+ 1 2.20000+ 1 1.03319- 3 3.63571- 3 1.80000+ 1 2.70000+ 1 6.57094- 5 3.64446- 3 1.90000+ 1 1.90000+ 1 4.75555- 5 3.58652- 3 1.90000+ 1 2.10000+ 1 8.93386- 4 3.64100- 3 1.90000+ 1 2.20000+ 1 1.04170- 4 3.64174- 3 1.90000+ 1 2.70000+ 1 6.79368- 6 3.65049- 3 2.10000+ 1 2.10000+ 1 4.80076- 4 3.69548- 3 2.10000+ 1 2.20000+ 1 1.96794- 3 3.69622- 3 2.10000+ 1 2.70000+ 1 3.39684- 6 3.70497- 3 2.20000+ 1 2.20000+ 1 1.08044- 4 3.69696- 3 2.20000+ 1 2.70000+ 1 5.20673- 6 3.70571- 3 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 6.00518- 3 2.78003- 3 1.00000+ 1 2.93199- 5 2.88761- 3 1.10000+ 1 2.75549- 5 2.92277- 3 1.30000+ 1 5.04698- 3 3.11534- 3 1.40000+ 1 4.47809- 2 3.12254- 3 1.60000+ 1 4.08279- 4 3.42204- 3 1.80000+ 1 1.58660- 6 3.45718- 3 1.90000+ 1 1.51070- 6 3.46321- 3 2.10000+ 1 5.10248- 4 3.51769- 3 2.20000+ 1 4.51149- 3 3.51843- 3 2.70000+ 1 2.85249- 5 3.52718- 3 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.52808- 3 2.02466- 3 8.00000+ 0 1.00000+ 1 1.13227- 3 2.13224- 3 8.00000+ 0 1.10000+ 1 3.18017- 2 2.16740- 3 8.00000+ 0 1.30000+ 1 3.10042- 3 2.35997- 3 8.00000+ 0 1.40000+ 1 3.25781- 3 2.36717- 3 8.00000+ 0 1.60000+ 1 4.81938- 4 2.66667- 3 8.00000+ 0 1.80000+ 1 1.68427- 4 2.70181- 3 8.00000+ 0 1.90000+ 1 3.90564- 3 2.70784- 3 8.00000+ 0 2.10000+ 1 2.05299- 4 2.76232- 3 8.00000+ 0 2.20000+ 1 2.02841- 4 2.76306- 3 8.00000+ 0 2.70000+ 1 4.54866- 5 2.77181- 3 1.00000+ 1 1.00000+ 1 3.94634- 4 2.23982- 3 1.00000+ 1 1.10000+ 1 5.26749- 2 2.27498- 3 1.00000+ 1 1.30000+ 1 3.63156- 3 2.46755- 3 1.00000+ 1 1.40000+ 1 3.25354- 2 2.47475- 3 1.00000+ 1 1.60000+ 1 1.91781- 4 2.77425- 3 1.00000+ 1 1.80000+ 1 1.15556- 4 2.80939- 3 1.00000+ 1 1.90000+ 1 6.68297- 3 2.81542- 3 1.00000+ 1 2.10000+ 1 3.82342- 4 2.86990- 3 1.00000+ 1 2.20000+ 1 3.01811- 3 2.87064- 3 1.00000+ 1 2.70000+ 1 1.84406- 5 2.87939- 3 1.10000+ 1 1.10000+ 1 7.50337- 2 2.31014- 3 1.10000+ 1 1.30000+ 1 7.51685- 2 2.50271- 3 1.10000+ 1 1.40000+ 1 1.14655- 1 2.50991- 3 1.10000+ 1 1.60000+ 1 6.29076- 3 2.80941- 3 1.10000+ 1 1.80000+ 1 8.88224- 3 2.84455- 3 1.10000+ 1 1.90000+ 1 2.22355- 2 2.85058- 3 1.10000+ 1 2.10000+ 1 8.15168- 3 2.90506- 3 1.10000+ 1 2.20000+ 1 1.22130- 2 2.90580- 3 1.10000+ 1 2.70000+ 1 6.08521- 4 2.91455- 3 1.30000+ 1 1.30000+ 1 1.08013- 2 2.69528- 3 1.30000+ 1 1.40000+ 1 2.08561- 1 2.70248- 3 1.30000+ 1 1.60000+ 1 5.69235- 4 3.00198- 3 1.30000+ 1 1.80000+ 1 6.07317- 4 3.03712- 3 1.30000+ 1 1.90000+ 1 8.96332- 3 3.04315- 3 1.30000+ 1 2.10000+ 1 2.11938- 3 3.09763- 3 1.30000+ 1 2.20000+ 1 1.78133- 2 3.09837- 3 1.30000+ 1 2.70000+ 1 5.40945- 5 3.10712- 3 1.40000+ 1 1.40000+ 1 1.41872- 1 2.70968- 3 1.40000+ 1 1.60000+ 1 6.38060- 4 3.00918- 3 1.40000+ 1 1.80000+ 1 5.14166- 3 3.04432- 3 1.40000+ 1 1.90000+ 1 1.51356- 2 3.05035- 3 1.40000+ 1 2.10000+ 1 2.06738- 2 3.10483- 3 1.40000+ 1 2.20000+ 1 2.66066- 2 3.10557- 3 1.40000+ 1 2.70000+ 1 6.14686- 5 3.11432- 3 1.60000+ 1 1.60000+ 1 4.87636- 5 3.30868- 3 1.60000+ 1 1.80000+ 1 3.61786- 5 3.34382- 3 1.60000+ 1 1.90000+ 1 9.90999- 4 3.34985- 3 1.60000+ 1 2.10000+ 1 5.03363- 5 3.40433- 3 1.60000+ 1 2.20000+ 1 5.34815- 5 3.40507- 3 1.60000+ 1 2.70000+ 1 9.43769- 6 3.41382- 3 1.80000+ 1 1.80000+ 1 8.65926- 6 3.37896- 3 1.80000+ 1 1.90000+ 1 1.13193- 3 3.38499- 3 1.80000+ 1 2.10000+ 1 6.30893- 5 3.43947- 3 1.80000+ 1 2.20000+ 1 4.91144- 4 3.44021- 3 1.80000+ 1 2.70000+ 1 2.47411- 6 3.44896- 3 1.90000+ 1 1.90000+ 1 1.59221- 3 3.39102- 3 1.90000+ 1 2.10000+ 1 9.67800- 4 3.44550- 3 1.90000+ 1 2.20000+ 1 1.58744- 3 3.44624- 3 1.90000+ 1 2.70000+ 1 7.45438- 5 3.45499- 3 2.10000+ 1 2.10000+ 1 1.02034- 4 3.49998- 3 2.10000+ 1 2.20000+ 1 1.80597- 3 3.50072- 3 2.10000+ 1 2.70000+ 1 3.68808- 6 3.50947- 3 2.20000+ 1 2.20000+ 1 1.29129- 3 3.50146- 3 2.20000+ 1 2.70000+ 1 3.80177- 6 3.51021- 3 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.16757- 5 1.07580- 4 1.10000+ 1 5.65657- 5 1.42740- 4 1.80000+ 1 1.20080- 4 6.77150- 4 1.90000+ 1 1.72823- 4 6.83180- 4 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.60000+ 1 4.13581- 2 0.00000+ 0 1.00000+ 1 1.80000+ 1 4.92490- 2 2.93600- 5 1.00000+ 1 1.90000+ 1 9.36500- 2 3.53900- 5 1.00000+ 1 2.10000+ 1 5.10064- 2 8.98700- 5 1.00000+ 1 2.20000+ 1 6.79992- 2 9.06100- 5 1.00000+ 1 2.70000+ 1 3.54633- 3 9.93600- 5 1.10000+ 1 1.60000+ 1 7.60897- 2 2.93800- 5 1.10000+ 1 1.80000+ 1 8.39822- 2 6.45200- 5 1.10000+ 1 1.90000+ 1 1.33293- 1 7.05500- 5 1.10000+ 1 2.10000+ 1 4.74325- 2 1.25030- 4 1.10000+ 1 2.20000+ 1 7.00961- 2 1.25770- 4 1.10000+ 1 2.70000+ 1 5.51458- 3 1.34520- 4 1.30000+ 1 1.60000+ 1 2.98378- 2 2.21950- 4 1.30000+ 1 1.80000+ 1 5.81988- 3 2.57090- 4 1.30000+ 1 1.90000+ 1 4.39842- 3 2.63120- 4 1.30000+ 1 2.10000+ 1 5.21439- 3 3.17600- 4 1.30000+ 1 2.20000+ 1 6.08422- 3 3.18340- 4 1.30000+ 1 2.70000+ 1 1.61212- 3 3.27090- 4 1.40000+ 1 1.60000+ 1 4.38315- 2 2.29150- 4 1.40000+ 1 1.80000+ 1 1.61474- 3 2.64290- 4 1.40000+ 1 1.90000+ 1 1.15443- 2 2.70320- 4 1.40000+ 1 2.10000+ 1 6.43079- 3 3.24800- 4 1.40000+ 1 2.20000+ 1 1.03742- 2 3.25540- 4 1.40000+ 1 2.70000+ 1 2.36433- 3 3.34290- 4 1.60000+ 1 1.60000+ 1 1.19259- 2 5.28650- 4 1.60000+ 1 1.80000+ 1 1.81602- 2 5.63790- 4 1.60000+ 1 1.90000+ 1 3.36429- 2 5.69820- 4 1.60000+ 1 2.10000+ 1 2.52594- 2 6.24300- 4 1.60000+ 1 2.20000+ 1 3.65646- 2 6.25040- 4 1.60000+ 1 2.70000+ 1 1.48662- 3 6.33790- 4 1.80000+ 1 1.80000+ 1 1.11068- 3 5.98930- 4 1.80000+ 1 1.90000+ 1 2.66722- 3 6.04960- 4 1.80000+ 1 2.10000+ 1 1.26846- 3 6.59440- 4 1.80000+ 1 2.20000+ 1 3.72147- 4 6.60180- 4 1.80000+ 1 2.70000+ 1 9.88981- 4 6.68930- 4 1.90000+ 1 1.90000+ 1 3.41632- 3 6.10990- 4 1.90000+ 1 2.10000+ 1 9.75900- 4 6.65470- 4 1.90000+ 1 2.20000+ 1 2.93738- 3 6.66210- 4 1.90000+ 1 2.70000+ 1 1.77166- 3 6.74960- 4 2.10000+ 1 2.10000+ 1 2.81373- 4 7.19950- 4 2.10000+ 1 2.20000+ 1 6.82163- 4 7.20690- 4 2.10000+ 1 2.70000+ 1 1.29436- 3 7.29440- 4 2.20000+ 1 2.20000+ 1 5.72377- 4 7.21430- 4 2.20000+ 1 2.70000+ 1 1.87221- 3 7.30180- 4 2.70000+ 1 2.70000+ 1 4.39219- 5 7.38930- 4 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.26419- 4 2.27730- 4 1.60000+ 1 2.18565- 4 5.34430- 4 2.10000+ 1 5.01896- 4 6.30080- 4 2.70000+ 1 1.75080- 5 6.39570- 4 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.91616- 2 1.74500- 5 1.10000+ 1 2.20000+ 1 4.63839- 2 1.81900- 5 1.10000+ 1 2.70000+ 1 5.20645- 3 2.69400- 5 1.30000+ 1 1.60000+ 1 1.41727- 1 1.14370- 4 1.30000+ 1 1.80000+ 1 1.45155- 1 1.49510- 4 1.30000+ 1 1.90000+ 1 2.19971- 1 1.55540- 4 1.30000+ 1 2.10000+ 1 4.30693- 2 2.10020- 4 1.30000+ 1 2.20000+ 1 4.14578- 2 2.10760- 4 1.30000+ 1 2.70000+ 1 1.04394- 2 2.19510- 4 1.40000+ 1 1.60000+ 1 2.45658- 2 1.21570- 4 1.40000+ 1 1.80000+ 1 1.86489- 1 1.56710- 4 1.40000+ 1 1.90000+ 1 1.97870- 2 1.62740- 4 1.40000+ 1 2.10000+ 1 4.74954- 3 2.17220- 4 1.40000+ 1 2.20000+ 1 5.90054- 3 2.17960- 4 1.40000+ 1 2.70000+ 1 1.28824- 3 2.26710- 4 1.60000+ 1 1.60000+ 1 6.96708- 4 4.21070- 4 1.60000+ 1 1.80000+ 1 1.01888- 2 4.56210- 4 1.60000+ 1 1.90000+ 1 1.64562- 3 4.62240- 4 1.60000+ 1 2.10000+ 1 3.47983- 4 5.16720- 4 1.60000+ 1 2.20000+ 1 8.28771- 4 5.17460- 4 1.60000+ 1 2.70000+ 1 8.31008- 5 5.26210- 4 1.80000+ 1 1.80000+ 1 6.64002- 3 4.91350- 4 1.80000+ 1 1.90000+ 1 2.08911- 2 4.97380- 4 1.80000+ 1 2.10000+ 1 1.36244- 2 5.51860- 4 1.80000+ 1 2.20000+ 1 2.25991- 2 5.52600- 4 1.80000+ 1 2.70000+ 1 7.15351- 4 5.61350- 4 1.90000+ 1 1.90000+ 1 6.00078- 4 5.03410- 4 1.90000+ 1 2.10000+ 1 1.67256- 3 5.57890- 4 1.90000+ 1 2.20000+ 1 1.11294- 3 5.58630- 4 1.90000+ 1 2.70000+ 1 9.51230- 5 5.67380- 4 2.10000+ 1 2.10000+ 1 4.62685- 4 6.12370- 4 2.10000+ 1 2.20000+ 1 9.63628- 4 6.13110- 4 2.10000+ 1 2.70000+ 1 2.46875- 5 6.21860- 4 2.20000+ 1 2.20000+ 1 2.39517- 4 6.13850- 4 2.20000+ 1 2.70000+ 1 4.93627- 5 6.22600- 4 2.70000+ 1 2.70000+ 1 2.12220- 6 6.31350- 4 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.80039- 5 1.92570- 4 1.40000+ 1 2.86592- 4 1.99770- 4 1.60000+ 1 2.66666- 4 4.99270- 4 2.10000+ 1 6.25791- 5 5.94920- 4 2.20000+ 1 5.15567- 4 5.95660- 4 2.70000+ 1 2.12177- 5 6.04410- 4 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 2.91916- 2 7.92100- 5 1.30000+ 1 1.80000+ 1 2.04328- 2 1.14350- 4 1.30000+ 1 1.90000+ 1 1.31993- 1 1.20380- 4 1.30000+ 1 2.10000+ 1 1.05331- 2 1.74860- 4 1.30000+ 1 2.20000+ 1 7.16789- 3 1.75600- 4 1.30000+ 1 2.70000+ 1 1.78471- 3 1.84350- 4 1.40000+ 1 1.60000+ 1 1.35809- 1 8.64100- 5 1.40000+ 1 1.80000+ 1 1.36063- 1 1.21550- 4 1.40000+ 1 1.90000+ 1 2.86131- 1 1.27580- 4 1.40000+ 1 2.10000+ 1 3.61173- 2 1.82060- 4 1.40000+ 1 2.20000+ 1 6.65426- 2 1.82800- 4 1.40000+ 1 2.70000+ 1 9.89396- 3 1.91550- 4 1.60000+ 1 1.60000+ 1 9.14952- 4 3.85910- 4 1.60000+ 1 1.80000+ 1 1.33439- 3 4.21050- 4 1.60000+ 1 1.90000+ 1 1.94229- 2 4.27080- 4 1.60000+ 1 2.10000+ 1 9.43211- 4 4.81560- 4 1.60000+ 1 2.20000+ 1 1.06934- 3 4.82300- 4 1.60000+ 1 2.70000+ 1 1.09379- 4 4.91050- 4 1.80000+ 1 1.80000+ 1 2.09941- 4 4.56190- 4 1.80000+ 1 1.90000+ 1 1.88133- 2 4.62220- 4 1.80000+ 1 2.10000+ 1 4.70009- 4 5.16700- 4 1.80000+ 1 2.20000+ 1 2.31731- 3 5.17440- 4 1.80000+ 1 2.70000+ 1 6.76422- 5 5.26190- 4 1.90000+ 1 1.90000+ 1 2.41319- 2 4.68250- 4 1.90000+ 1 2.10000+ 1 2.30994- 2 5.22730- 4 1.90000+ 1 2.20000+ 1 3.13386- 2 5.23470- 4 1.90000+ 1 2.70000+ 1 1.09039- 3 5.32220- 4 2.10000+ 1 2.10000+ 1 1.18836- 4 5.77210- 4 2.10000+ 1 2.20000+ 1 9.28892- 4 5.77950- 4 2.10000+ 1 2.70000+ 1 2.75336- 5 5.86700- 4 2.20000+ 1 2.20000+ 1 7.14906- 4 5.78690- 4 2.20000+ 1 2.70000+ 1 3.53680- 5 5.87440- 4 2.70000+ 1 2.70000+ 1 1.89723- 6 5.96190- 4 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 6.26730- 4 3.41840- 4 1.90000+ 1 1.04950- 4 3.47870- 4 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 8.78719- 4 1.93340- 4 1.60000+ 1 1.80000+ 1 1.33151- 2 2.28480- 4 1.60000+ 1 1.90000+ 1 1.31572- 2 2.34510- 4 1.60000+ 1 2.10000+ 1 1.41428- 1 2.88990- 4 1.60000+ 1 2.20000+ 1 2.35913- 2 2.89730- 4 1.60000+ 1 2.70000+ 1 7.91650- 5 2.98480- 4 1.80000+ 1 1.80000+ 1 1.40118- 3 2.63620- 4 1.80000+ 1 1.90000+ 1 2.37961- 2 2.69650- 4 1.80000+ 1 2.10000+ 1 1.03642- 1 3.24130- 4 1.80000+ 1 2.20000+ 1 9.24627- 3 3.24870- 4 1.80000+ 1 2.70000+ 1 3.64155- 4 3.33620- 4 1.90000+ 1 1.90000+ 1 1.00452- 2 2.75680- 4 1.90000+ 1 2.10000+ 1 2.30350- 1 3.30160- 4 1.90000+ 1 2.20000+ 1 9.68156- 3 3.30900- 4 1.90000+ 1 2.70000+ 1 4.82904- 4 3.39650- 4 2.10000+ 1 2.10000+ 1 1.32249- 1 3.84640- 4 2.10000+ 1 2.20000+ 1 2.71003- 1 3.85380- 4 2.10000+ 1 2.70000+ 1 9.08775- 3 3.94130- 4 2.20000+ 1 2.20000+ 1 4.59751- 3 3.86120- 4 2.20000+ 1 2.70000+ 1 8.70488- 4 3.94870- 4 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 6.56932- 4 3.40670- 4 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.26485- 3 1.86140- 4 1.60000+ 1 1.80000+ 1 7.97185- 3 2.21280- 4 1.60000+ 1 1.90000+ 1 2.09885- 2 2.27310- 4 1.60000+ 1 2.10000+ 1 1.72088- 2 2.81790- 4 1.60000+ 1 2.20000+ 1 1.48507- 1 2.82530- 4 1.60000+ 1 2.70000+ 1 1.09311- 4 2.91280- 4 1.80000+ 1 1.80000+ 1 3.90385- 5 2.56420- 4 1.80000+ 1 1.90000+ 1 2.39551- 2 2.62450- 4 1.80000+ 1 2.10000+ 1 2.13151- 3 3.16930- 4 1.80000+ 1 2.20000+ 1 1.26304- 1 3.17670- 4 1.80000+ 1 2.70000+ 1 2.81076- 4 3.26420- 4 1.90000+ 1 1.90000+ 1 1.59125- 2 2.68480- 4 1.90000+ 1 2.10000+ 1 1.18130- 2 3.22960- 4 1.90000+ 1 2.20000+ 1 2.09887- 1 3.23700- 4 1.90000+ 1 2.70000+ 1 6.48066- 4 3.32450- 4 2.10000+ 1 2.10000+ 1 1.91295- 3 3.77440- 4 2.10000+ 1 2.20000+ 1 1.86337- 1 3.78180- 4 2.10000+ 1 2.70000+ 1 6.40267- 4 3.86930- 4 2.20000+ 1 2.20000+ 1 2.14163- 1 3.78920- 4 2.20000+ 1 2.70000+ 1 9.26788- 3 3.87670- 4 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 7.68543- 6 3.51400- 5 1.90000+ 1 2.18563- 5 4.11700- 5 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10000+ 1 4.70923- 2 1.74300- 5 1.80000+ 1 2.20000+ 1 1.65369- 1 1.81700- 5 1.80000+ 1 2.70000+ 1 8.73909- 3 2.69200- 5 1.90000+ 1 2.10000+ 1 3.41710- 1 2.34600- 5 1.90000+ 1 2.20000+ 1 3.59016- 1 2.42000- 5 1.90000+ 1 2.70000+ 1 1.51542- 2 3.29500- 5 2.10000+ 1 2.10000+ 1 1.15926- 3 7.79400- 5 2.10000+ 1 2.20000+ 1 3.48037- 2 7.86800- 5 2.10000+ 1 2.70000+ 1 5.28803- 3 8.74300- 5 2.20000+ 1 2.20000+ 1 5.89581- 3 7.94200- 5 2.20000+ 1 2.70000+ 1 4.41318- 3 8.81700- 5 2.70000+ 1 2.70000+ 1 1.13310- 2 9.69200- 5 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.41961- 5 6.05100- 5 2.70000+ 1 1.34331- 6 7.00000- 5 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 1.60717- 1 4.28000- 5 2.10000+ 1 2.20000+ 1 7.98462- 1 4.35400- 5 2.10000+ 1 2.70000+ 1 1.17148- 2 5.22900- 5 2.20000+ 1 2.20000+ 1 2.79941- 2 4.42800- 5 2.20000+ 1 2.70000+ 1 1.08507- 3 5.30300- 5 2.70000+ 1 2.70000+ 1 1.15650- 6 6.17800- 5 1 48000 0 7 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 6.36900- 7 5.44800- 5 2.20000+ 1 6.00120- 6 5.52200- 5 2.70000+ 1 4.81350- 7 6.39700- 5 1 48000 0 9 1.12410+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 2.31846- 2 3.67700- 5 2.10000+ 1 2.20000+ 1 5.84403- 1 3.75100- 5 2.10000+ 1 2.70000+ 1 2.28186- 3 4.62600- 5 2.20000+ 1 2.20000+ 1 3.78198- 1 3.82500- 5 2.20000+ 1 2.70000+ 1 1.19220- 2 4.70000- 5 2.70000+ 1 2.70000+ 1 3.52910- 6 5.57500- 5 1 49000 0 0 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 3.30000- 1 3.00000+ 1 6.70000- 1 1 49000 0 0 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.79210- 2 3.00000+ 0 4.21380- 3 5.00000+ 0 3.94250- 3 6.00000+ 0 3.72840- 3 8.00000+ 0 8.11240- 4 1.00000+ 1 6.99620- 4 1.10000+ 1 6.60670- 4 1.30000+ 1 4.61040- 4 1.40000+ 1 4.53000- 4 1.60000+ 1 1.27900- 4 1.80000+ 1 9.07700- 5 1.90000+ 1 8.38700- 5 2.10000+ 1 2.54900- 5 2.20000+ 1 2.45800- 5 2.70000+ 1 1.08300- 5 2.90000+ 1 4.91000- 6 3.00000+ 1 4.58000- 6 1 49000 0 0 1.14820+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.54700- 2 3.00000+ 0 7.61880- 3 5.00000+ 0 7.62630- 3 6.00000+ 0 6.84790- 3 8.00000+ 0 2.16240- 3 1.00000+ 1 2.09780- 3 1.10000+ 1 1.92720- 3 1.30000+ 1 1.80680- 3 1.40000+ 1 1.76550- 3 1.60000+ 1 5.69520- 4 1.80000+ 1 5.04800- 4 1.90000+ 1 4.63460- 4 2.10000+ 1 3.14580- 4 2.20000+ 1 3.05860- 4 2.70000+ 1 7.06700- 5 2.90000+ 1 3.40800- 5 3.00000+ 1 2.91200- 5 1 49000 0 0 1.14820+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.56940-10 3.00000+ 0 6.75390-10 5.00000+ 0 5.70740-10 6.00000+ 0 5.98550-10 8.00000+ 0 1.82960- 9 1.00000+ 1 1.77830- 9 1.10000+ 1 1.83620- 9 1.30000+ 1 1.68170- 9 1.40000+ 1 1.69990- 9 1.60000+ 1 4.43310- 9 1.80000+ 1 4.68800- 9 1.90000+ 1 4.84240- 9 2.10000+ 1 5.93140- 9 2.20000+ 1 6.00480- 9 2.70000+ 1 1.32260- 8 2.90000+ 1 1.88290- 8 3.00000+ 1 2.00070- 8 1 49000 0 0 1.14820+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.49310- 6 3.00000+ 0 9.53790- 8 5.00000+ 0 1.59220- 7 6.00000+ 0 1.51460- 7 8.00000+ 0 1.83510- 9 1.00000+ 1 1.86100- 9 1.10000+ 1 1.77970- 9 1.30000+ 1 1.38950-10 1.40000+ 1 1.22030-10 1.60000+ 1 3.90820-11 1.80000+ 1 1.19080-10 1.90000+ 1 9.69880-11 2.10000+ 1 1.34560-13 2.20000+ 1 1.14600-13 1 49000 0 0 1.14820+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.17360- 6 3.00000+ 0 2.79470- 6 5.00000+ 0 2.34540- 6 6.00000+ 0 2.15320- 6 8.00000+ 0 1.17670- 5 1.00000+ 1 4.02370- 6 1.10000+ 1 4.30390- 6 1.30000+ 1 3.87320- 7 1.40000+ 1 3.92400- 7 1.60000+ 1 2.61890- 5 1.80000+ 1 1.92340- 5 1.90000+ 1 2.14610- 5 2.10000+ 1 3.78100- 8 2.20000+ 1 1.82850- 8 1 49000 0 0 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.13887- 4 3.00000+ 0 1.27455- 4 5.00000+ 0 1.08113- 4 6.00000+ 0 1.02053- 4 8.00000+ 0 9.47613- 5 1.00000+ 1 7.74273- 5 1.10000+ 1 7.41026- 5 1.30000+ 1 4.60835- 5 1.40000+ 1 4.41379- 5 1.60000+ 1 4.65763- 5 1.80000+ 1 3.32371- 5 1.90000+ 1 3.18613- 5 2.10000+ 1 1.78589- 5 2.20000+ 1 1.51206- 5 2.70000+ 1 1.08300- 5 2.90000+ 1 4.91000- 6 3.00000+ 1 4.58000- 6 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.21307- 1 3.00000+ 0 7.08149- 2 5.00000+ 0 7.69584- 2 6.00000+ 0 6.81657- 2 8.00000+ 0 2.06969- 3 1.00000+ 1 2.20472- 3 1.10000+ 1 2.06196- 3 1.30000+ 1 9.27787- 4 1.40000+ 1 8.38213- 4 1.60000+ 1 4.88503- 5 1.80000+ 1 3.40415- 5 1.90000+ 1 9.61245- 6 2.10000+ 1 4.34642-10 2.20000+ 1 4.56828-10 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.12761- 2 3.00000+ 0 2.39034- 4 5.00000+ 0 2.60062- 4 6.00000+ 0 2.17191- 4 8.00000+ 0 9.88313- 7 1.00000+ 1 9.96383- 7 1.10000+ 1 9.38044- 7 1.30000+ 1 3.39844- 7 1.40000+ 1 3.04586- 7 1.60000+ 1 2.37000- 9 1.80000+ 1 2.25579- 9 1.90000+ 1 5.80736-10 2.10000+ 1 8.96621-15 2.20000+ 1 9.13655-15 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.30183+ 1 3.00000+ 0 1.46763+ 1 5.00000+ 0 1.22254+ 1 6.00000+ 0 1.16078+ 1 8.00000+ 0 1.06490+ 1 1.00000+ 1 8.43030+ 0 1.10000+ 1 8.17360+ 0 1.30000+ 1 4.51302+ 0 1.40000+ 1 4.54137+ 0 1.60000+ 1 4.73255+ 0 1.80000+ 1 2.98307+ 0 1.90000+ 1 2.98125+ 0 2.10000+ 1 1.00000+ 0 2.20000+ 1 1.00000+ 0 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.53102- 3 3.00000+ 0 3.84731- 3 5.00000+ 0 3.57433- 3 6.00000+ 0 3.40916- 3 8.00000+ 0 7.15490- 4 1.00000+ 1 6.21196- 4 1.10000+ 1 5.85629- 4 1.30000+ 1 4.14617- 4 1.40000+ 1 4.08558- 4 1.60000+ 1 8.13213- 5 1.80000+ 1 5.75306- 5 1.90000+ 1 5.20082- 5 2.10000+ 1 7.63114- 6 2.20000+ 1 9.45935- 6 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.45699- 1 2.39785- 2 6.00000+ 0 4.60909- 1 2.41926- 2 1.00000+ 1 4.11269- 2 2.72214- 2 1.10000+ 1 7.98527- 2 2.72603- 2 1.30000+ 1 3.12289- 4 2.74600- 2 1.40000+ 1 4.33329- 4 2.74680- 2 1.80000+ 1 8.39467- 3 2.78302- 2 1.90000+ 1 1.63419- 2 2.78371- 2 2.10000+ 1 4.27049- 5 2.78955- 2 2.20000+ 1 5.88148- 5 2.78964- 2 2.90000+ 1 6.08048- 5 2.79161- 2 3.00000+ 1 1.08290- 4 2.79164- 2 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 1.10692- 2 1.94934- 2 3.00000+ 0 5.00000+ 0 1.28924- 2 1.97647- 2 3.00000+ 0 6.00000+ 0 1.72017- 2 1.99788- 2 3.00000+ 0 8.00000+ 0 3.82424- 3 2.28960- 2 3.00000+ 0 1.00000+ 1 2.36619- 3 2.30076- 2 3.00000+ 0 1.10000+ 1 3.17103- 3 2.30465- 2 3.00000+ 0 1.30000+ 1 1.99254- 4 2.32462- 2 3.00000+ 0 1.40000+ 1 2.28159- 4 2.32542- 2 3.00000+ 0 1.60000+ 1 7.64388- 4 2.35793- 2 3.00000+ 0 1.80000+ 1 4.33870- 4 2.36164- 2 3.00000+ 0 1.90000+ 1 5.75326- 4 2.36233- 2 3.00000+ 0 2.10000+ 1 2.78829- 5 2.36817- 2 3.00000+ 0 2.20000+ 1 3.16221- 5 2.36826- 2 3.00000+ 0 2.70000+ 1 8.39854- 5 2.36964- 2 3.00000+ 0 2.90000+ 1 5.44045- 6 2.37023- 2 3.00000+ 0 3.00000+ 1 7.14052- 6 2.37026- 2 5.00000+ 0 5.00000+ 0 1.76059- 3 2.00360- 2 5.00000+ 0 6.00000+ 0 3.80208- 2 2.02501- 2 5.00000+ 0 8.00000+ 0 1.84423- 3 2.31673- 2 5.00000+ 0 1.00000+ 1 5.81791- 4 2.32789- 2 5.00000+ 0 1.10000+ 1 5.86284- 3 2.33178- 2 5.00000+ 0 1.30000+ 1 2.47530- 4 2.35175- 2 5.00000+ 0 1.40000+ 1 8.48378- 4 2.35255- 2 5.00000+ 0 1.60000+ 1 3.55318- 4 2.38506- 2 5.00000+ 0 1.80000+ 1 1.05069- 4 2.38877- 2 5.00000+ 0 1.90000+ 1 1.03095- 3 2.38946- 2 5.00000+ 0 2.10000+ 1 3.43429- 5 2.39530- 2 5.00000+ 0 2.20000+ 1 1.16287- 4 2.39539- 2 5.00000+ 0 2.70000+ 1 3.87633- 5 2.39677- 2 5.00000+ 0 2.90000+ 1 1.36004- 6 2.39736- 2 5.00000+ 0 3.00000+ 1 1.25810- 5 2.39739- 2 6.00000+ 0 6.00000+ 0 1.94558- 2 2.04642- 2 6.00000+ 0 8.00000+ 0 2.43189- 3 2.33814- 2 6.00000+ 0 1.00000+ 1 5.75590- 3 2.34930- 2 6.00000+ 0 1.10000+ 1 6.15099- 3 2.35319- 2 6.00000+ 0 1.30000+ 1 1.02041- 3 2.37316- 2 6.00000+ 0 1.40000+ 1 9.51738- 4 2.37396- 2 6.00000+ 0 1.60000+ 1 4.67532- 4 2.40647- 2 6.00000+ 0 1.80000+ 1 1.02108- 3 2.41018- 2 6.00000+ 0 1.90000+ 1 1.08738- 3 2.41087- 2 6.00000+ 0 2.10000+ 1 1.41454- 4 2.41671- 2 6.00000+ 0 2.20000+ 1 1.30906- 4 2.41680- 2 6.00000+ 0 2.70000+ 1 5.10031- 5 2.41818- 2 6.00000+ 0 2.90000+ 1 1.25809- 5 2.41877- 2 6.00000+ 0 3.00000+ 1 1.32612- 5 2.41880- 2 8.00000+ 0 8.00000+ 0 3.25413- 4 2.62985- 2 8.00000+ 0 1.00000+ 1 3.41729- 4 2.64101- 2 8.00000+ 0 1.10000+ 1 4.51906- 4 2.64491- 2 8.00000+ 0 1.30000+ 1 2.68620- 5 2.66487- 2 8.00000+ 0 1.40000+ 1 2.95828- 5 2.66568- 2 8.00000+ 0 1.60000+ 1 1.29549- 4 2.69819- 2 8.00000+ 0 1.80000+ 1 6.29050- 5 2.70190- 2 8.00000+ 0 1.90000+ 1 8.19476- 5 2.70259- 2 8.00000+ 0 2.10000+ 1 3.74045- 6 2.70843- 2 8.00000+ 0 2.20000+ 1 4.08036- 6 2.70852- 2 8.00000+ 0 2.70000+ 1 1.42808- 5 2.70989- 2 8.00000+ 0 2.90000+ 1 6.80049- 7 2.71048- 2 8.00000+ 0 3.00000+ 1 1.02014- 6 2.71052- 2 1.00000+ 1 1.00000+ 1 4.62437- 5 2.65218- 2 1.00000+ 1 1.10000+ 1 9.01070- 4 2.65607- 2 1.00000+ 1 1.30000+ 1 2.92423- 5 2.67603- 2 1.00000+ 1 1.40000+ 1 1.00987- 4 2.67684- 2 1.00000+ 1 1.60000+ 1 6.59652- 5 2.70935- 2 1.00000+ 1 1.80000+ 1 1.66603- 5 2.71306- 2 1.00000+ 1 1.90000+ 1 1.58786- 4 2.71375- 2 1.00000+ 1 2.10000+ 1 4.08030- 6 2.71959- 2 1.00000+ 1 2.20000+ 1 1.39404- 5 2.71968- 2 1.00000+ 1 2.70000+ 1 7.14049- 6 2.72105- 2 1.00000+ 1 2.90000+ 1 3.40028- 7 2.72165- 2 1.00000+ 1 3.00000+ 1 2.04014- 6 2.72168- 2 1.10000+ 1 1.10000+ 1 4.87598- 4 2.65997- 2 1.10000+ 1 1.30000+ 1 1.27852- 4 2.67993- 2 1.10000+ 1 1.40000+ 1 1.16288- 4 2.68073- 2 1.10000+ 1 1.60000+ 1 8.70466- 5 2.71324- 2 1.10000+ 1 1.80000+ 1 1.60147- 4 2.71696- 2 1.10000+ 1 1.90000+ 1 1.72400- 4 2.71765- 2 1.10000+ 1 2.10000+ 1 1.76827- 5 2.72348- 2 1.10000+ 1 2.20000+ 1 1.59812- 5 2.72357- 2 1.10000+ 1 2.70000+ 1 9.52083- 6 2.72495- 2 1.10000+ 1 2.90000+ 1 2.04016- 6 2.72554- 2 1.10000+ 1 3.00000+ 1 2.04016- 6 2.72557- 2 1.30000+ 1 1.40000+ 1 1.46744- 5 2.70070- 2 1.30000+ 1 1.60000+ 1 5.00239- 6 2.73321- 2 1.30000+ 1 1.80000+ 1 5.00239- 6 2.73692- 2 1.30000+ 1 1.90000+ 1 2.13432- 5 2.73761- 2 1.30000+ 1 2.20000+ 1 2.00097- 6 2.74354- 2 1.30000+ 1 2.70000+ 1 6.66981- 7 2.74491- 2 1.30000+ 1 3.00000+ 1 3.33499- 7 2.74554- 2 1.40000+ 1 1.40000+ 1 3.78005- 6 2.70150- 2 1.40000+ 1 1.60000+ 1 5.84164- 6 2.73401- 2 1.40000+ 1 1.80000+ 1 1.71806- 5 2.73772- 2 1.40000+ 1 1.90000+ 1 1.99303- 5 2.73841- 2 1.40000+ 1 2.10000+ 1 2.06177- 6 2.74425- 2 1.40000+ 1 2.20000+ 1 1.03094- 6 2.74434- 2 1.40000+ 1 2.70000+ 1 6.87248- 7 2.74572- 2 1.40000+ 1 2.90000+ 1 3.43633- 7 2.74631- 2 1.40000+ 1 3.00000+ 1 3.43633- 7 2.74634- 2 1.60000+ 1 1.60000+ 1 1.34758- 5 2.76652- 2 1.60000+ 1 1.80000+ 1 1.27664- 5 2.77023- 2 1.60000+ 1 1.90000+ 1 1.63125- 5 2.77092- 2 1.60000+ 1 2.10000+ 1 7.09235- 7 2.77676- 2 1.60000+ 1 2.20000+ 1 7.09235- 7 2.77685- 2 1.60000+ 1 2.70000+ 1 2.83696- 6 2.77823- 2 1.60000+ 1 3.00000+ 1 3.54627- 7 2.77885- 2 1.80000+ 1 1.80000+ 1 1.33804- 6 2.77395- 2 1.80000+ 1 1.90000+ 1 2.77666- 5 2.77464- 2 1.80000+ 1 2.10000+ 1 6.69043- 7 2.78047- 2 1.80000+ 1 2.20000+ 1 2.34158- 6 2.78056- 2 1.80000+ 1 2.70000+ 1 1.33804- 6 2.78194- 2 1.80000+ 1 3.00000+ 1 3.34530- 7 2.78256- 2 1.90000+ 1 1.90000+ 1 1.61790- 5 2.77533- 2 1.90000+ 1 2.10000+ 1 3.23592- 6 2.78116- 2 1.90000+ 1 2.20000+ 1 2.87629- 6 2.78125- 2 1.90000+ 1 2.70000+ 1 1.79761- 6 2.78263- 2 1.90000+ 1 2.90000+ 1 3.59544- 7 2.78322- 2 1.90000+ 1 3.00000+ 1 3.59544- 7 2.78325- 2 2.10000+ 1 2.20000+ 1 4.23379- 7 2.78709- 2 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.03271- 5 2.71300- 4 6.00000+ 0 2.50072- 4 4.85400- 4 1.00000+ 1 1.02851- 2 3.51418- 3 1.10000+ 1 1.68651- 2 3.55313- 3 1.30000+ 1 1.24421- 4 3.75276- 3 1.40000+ 1 1.85641- 4 3.76080- 3 1.80000+ 1 1.95251- 3 4.12303- 3 1.90000+ 1 3.24772- 3 4.12993- 3 2.10000+ 1 1.17491- 5 4.18831- 3 2.20000+ 1 1.76511- 5 4.18922- 3 2.90000+ 1 1.65441- 5 4.20889- 3 3.00000+ 1 2.53942- 5 4.20922- 3 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.88937- 2 1.43400- 4 5.00000+ 0 1.80000+ 1 4.11128- 2 1.80530- 4 5.00000+ 0 1.90000+ 1 5.42717- 2 1.87430- 4 5.00000+ 0 2.10000+ 1 1.19829- 2 2.45810- 4 5.00000+ 0 2.20000+ 1 1.96309- 2 2.46720- 4 5.00000+ 0 2.70000+ 1 6.26656- 3 2.60470- 4 5.00000+ 0 2.90000+ 1 4.85827- 4 2.66390- 4 5.00000+ 0 3.00000+ 1 6.27036- 4 2.66720- 4 6.00000+ 0 1.60000+ 1 8.25243- 2 3.57500- 4 6.00000+ 0 1.80000+ 1 3.62001- 2 3.94630- 4 6.00000+ 0 1.90000+ 1 6.99323- 2 4.01530- 4 6.00000+ 0 2.10000+ 1 5.19192- 2 4.59910- 4 6.00000+ 0 2.20000+ 1 6.73032- 2 4.60820- 4 6.00000+ 0 2.70000+ 1 8.76763- 3 4.74570- 4 6.00000+ 0 2.90000+ 1 4.34972- 4 4.80490- 4 6.00000+ 0 3.00000+ 1 8.30433- 4 4.80820- 4 8.00000+ 0 8.00000+ 0 1.45732- 2 2.59132- 3 8.00000+ 0 1.00000+ 1 2.88183- 2 2.70294- 3 8.00000+ 0 1.10000+ 1 5.40196- 2 2.74189- 3 8.00000+ 0 1.30000+ 1 4.30715- 2 2.94152- 3 8.00000+ 0 1.40000+ 1 6.14967- 2 2.94956- 3 8.00000+ 0 1.60000+ 1 4.99575- 3 3.27466- 3 8.00000+ 0 1.80000+ 1 5.17946- 3 3.31179- 3 8.00000+ 0 1.90000+ 1 9.59710- 3 3.31869- 3 8.00000+ 0 2.10000+ 1 5.24526- 3 3.37707- 3 8.00000+ 0 2.20000+ 1 7.41648- 3 3.37798- 3 8.00000+ 0 2.70000+ 1 5.37596- 4 3.39173- 3 8.00000+ 0 2.90000+ 1 6.40227- 5 3.39765- 3 8.00000+ 0 3.00000+ 1 1.16751- 4 3.39798- 3 1.00000+ 1 1.00000+ 1 1.85483- 4 2.81456- 3 1.00000+ 1 1.10000+ 1 1.20322- 3 2.85351- 3 1.00000+ 1 1.30000+ 1 1.11572- 3 3.05314- 3 1.00000+ 1 1.40000+ 1 1.55443- 2 3.06118- 3 1.00000+ 1 1.60000+ 1 4.00897- 3 3.38628- 3 1.00000+ 1 1.80000+ 1 3.67197- 5 3.42341- 3 1.00000+ 1 1.90000+ 1 2.03374- 4 3.43031- 3 1.00000+ 1 2.10000+ 1 1.38413- 4 3.48869- 3 1.00000+ 1 2.20000+ 1 1.28892- 3 3.48960- 3 1.00000+ 1 2.70000+ 1 4.15218- 4 3.50335- 3 1.00000+ 1 3.00000+ 1 2.82465- 6 3.50960- 3 1.10000+ 1 1.10000+ 1 1.26160- 3 2.89246- 3 1.10000+ 1 1.30000+ 1 1.18840- 2 3.09209- 3 1.10000+ 1 1.40000+ 1 8.19040- 3 3.10013- 3 1.10000+ 1 1.60000+ 1 7.51530- 3 3.42523- 3 1.10000+ 1 1.80000+ 1 2.03370- 4 3.46236- 3 1.10000+ 1 1.90000+ 1 3.49300- 4 3.46926- 3 1.10000+ 1 2.10000+ 1 8.92570- 4 3.52764- 3 1.10000+ 1 2.20000+ 1 6.36450- 4 3.52855- 3 1.10000+ 1 2.70000+ 1 7.78630- 4 3.54230- 3 1.10000+ 1 2.90000+ 1 2.82460- 6 3.54822- 3 1.10000+ 1 3.00000+ 1 3.76600- 6 3.54855- 3 1.30000+ 1 1.30000+ 1 2.35651- 3 3.29172- 3 1.30000+ 1 1.40000+ 1 8.81216- 2 3.29976- 3 1.30000+ 1 1.60000+ 1 5.70828- 3 3.62486- 3 1.30000+ 1 1.80000+ 1 2.61740- 4 3.66199- 3 1.30000+ 1 1.90000+ 1 2.10712- 3 3.66889- 3 1.30000+ 1 2.10000+ 1 5.69578- 4 3.72727- 3 1.30000+ 1 2.20000+ 1 8.03829- 3 3.72818- 3 1.30000+ 1 2.70000+ 1 5.88437- 4 3.74193- 3 1.30000+ 1 2.90000+ 1 3.76585- 6 3.74785- 3 1.30000+ 1 3.00000+ 1 2.54200- 5 3.74818- 3 1.40000+ 1 1.40000+ 1 2.48353- 2 3.30780- 3 1.40000+ 1 1.60000+ 1 8.18841- 3 3.63290- 3 1.40000+ 1 1.80000+ 1 2.57044- 3 3.67003- 3 1.40000+ 1 1.90000+ 1 1.52152- 3 3.67693- 3 1.40000+ 1 2.10000+ 1 8.02101- 3 3.73531- 3 1.40000+ 1 2.20000+ 1 4.71516- 3 3.73622- 3 1.40000+ 1 2.70000+ 1 8.44562- 4 3.74997- 3 1.40000+ 1 2.90000+ 1 3.10704- 5 3.75589- 3 1.40000+ 1 3.00000+ 1 1.88303- 5 3.75622- 3 1.60000+ 1 1.60000+ 1 4.08605- 4 3.95800- 3 1.60000+ 1 1.80000+ 1 7.22168- 4 3.99513- 3 1.60000+ 1 1.90000+ 1 1.33701- 3 4.00203- 3 1.60000+ 1 2.10000+ 1 6.92968- 4 4.06041- 3 1.60000+ 1 2.20000+ 1 9.83931- 4 4.06132- 3 1.60000+ 1 2.70000+ 1 8.75630- 5 4.07507- 3 1.60000+ 1 2.90000+ 1 8.47389- 6 4.08099- 3 1.60000+ 1 3.00000+ 1 1.60062- 5 4.08132- 3 1.80000+ 1 1.80000+ 1 1.88300- 6 4.03226- 3 1.80000+ 1 1.90000+ 1 3.48360- 5 4.03916- 3 1.80000+ 1 2.10000+ 1 2.73040- 5 4.09754- 3 1.80000+ 1 2.20000+ 1 2.19370- 4 4.09845- 3 1.80000+ 1 2.70000+ 1 7.43791- 5 4.11220- 3 1.90000+ 1 1.90000+ 1 2.44801- 5 4.04606- 3 1.90000+ 1 2.10000+ 1 1.65701- 4 4.10444- 3 1.90000+ 1 2.20000+ 1 1.22400- 4 4.10535- 3 1.90000+ 1 2.70000+ 1 1.38410- 4 4.11910- 3 1.90000+ 1 3.00000+ 1 9.41533- 7 4.12535- 3 2.10000+ 1 2.10000+ 1 3.29536- 5 4.16282- 3 2.10000+ 1 2.20000+ 1 7.73003- 4 4.16373- 3 2.10000+ 1 2.70000+ 1 7.15562- 5 4.17748- 3 2.10000+ 1 3.00000+ 1 1.88303- 6 4.18373- 3 2.20000+ 1 2.20000+ 1 2.34443- 4 4.16464- 3 2.20000+ 1 2.70000+ 1 1.01691- 4 4.17839- 3 2.20000+ 1 2.90000+ 1 2.82464- 6 4.18431- 3 2.20000+ 1 3.00000+ 1 1.88303- 6 4.18464- 3 2.70000+ 1 2.70000+ 1 4.70748- 6 4.19214- 3 2.70000+ 1 2.90000+ 1 9.41545- 7 4.19806- 3 2.70000+ 1 3.00000+ 1 1.88303- 6 4.19839- 3 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.37041- 8 2.14100- 4 8.00000+ 0 3.59692- 3 3.13126- 3 1.10000+ 1 4.51632- 5 3.28183- 3 1.30000+ 1 5.35573- 2 3.48146- 3 1.60000+ 1 4.16342- 4 3.81460- 3 1.90000+ 1 3.61202- 6 3.85863- 3 2.10000+ 1 6.00883- 3 3.91701- 3 2.70000+ 1 3.08832- 5 3.93167- 3 3.00000+ 1 2.82402- 8 3.93792- 3 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.31747- 2 8.62000- 5 6.00000+ 0 1.80000+ 1 5.12122- 2 1.23330- 4 6.00000+ 0 1.90000+ 1 1.83060- 2 1.30230- 4 6.00000+ 0 2.10000+ 1 5.91906- 2 1.88610- 4 6.00000+ 0 2.20000+ 1 2.22377- 2 1.89520- 4 6.00000+ 0 2.70000+ 1 1.30228- 3 2.03270- 4 6.00000+ 0 2.90000+ 1 6.15778- 4 2.09190- 4 6.00000+ 0 3.00000+ 1 2.21557- 4 2.09520- 4 8.00000+ 0 8.00000+ 0 1.15885- 3 2.32002- 3 8.00000+ 0 1.00000+ 1 2.68790- 2 2.43164- 3 8.00000+ 0 1.10000+ 1 2.60122- 3 2.47059- 3 8.00000+ 0 1.30000+ 1 1.79866- 3 2.67022- 3 8.00000+ 0 1.40000+ 1 3.87634- 3 2.67826- 3 8.00000+ 0 1.60000+ 1 3.72528- 4 3.00336- 3 8.00000+ 0 1.80000+ 1 3.38638- 3 3.04049- 3 8.00000+ 0 1.90000+ 1 4.11636- 4 3.04739- 3 8.00000+ 0 2.10000+ 1 1.61832- 4 3.10577- 3 8.00000+ 0 2.20000+ 1 3.04108- 4 3.10668- 3 8.00000+ 0 2.70000+ 1 3.91002- 5 3.12043- 3 8.00000+ 0 2.90000+ 1 4.01859- 5 3.12635- 3 8.00000+ 0 3.00000+ 1 5.43027- 6 3.12668- 3 1.00000+ 1 1.00000+ 1 2.61792- 2 2.54326- 3 1.00000+ 1 1.10000+ 1 8.36362- 2 2.58221- 3 1.00000+ 1 1.30000+ 1 4.50797- 2 2.78184- 3 1.00000+ 1 1.40000+ 1 7.83878- 2 2.78988- 3 1.00000+ 1 1.60000+ 1 5.47268- 3 3.11498- 3 1.00000+ 1 1.80000+ 1 8.12620- 3 3.15211- 3 1.00000+ 1 1.90000+ 1 1.45986- 2 3.15901- 3 1.00000+ 1 2.10000+ 1 5.46748- 3 3.21739- 3 1.00000+ 1 2.20000+ 1 9.45600- 3 3.21830- 3 1.00000+ 1 2.70000+ 1 6.01711- 4 3.23205- 3 1.00000+ 1 2.90000+ 1 9.88388- 5 3.23797- 3 1.00000+ 1 3.00000+ 1 1.77037- 4 3.23830- 3 1.10000+ 1 1.10000+ 1 2.22213- 3 2.62116- 3 1.10000+ 1 1.30000+ 1 5.49654- 2 2.82079- 3 1.10000+ 1 1.40000+ 1 7.40928- 3 2.82883- 3 1.10000+ 1 1.60000+ 1 4.57263- 4 3.15393- 3 1.10000+ 1 1.80000+ 1 1.09287- 2 3.19106- 3 1.10000+ 1 1.90000+ 1 6.58183- 4 3.19796- 3 1.10000+ 1 2.10000+ 1 5.81395- 3 3.25634- 3 1.10000+ 1 2.20000+ 1 7.28751- 4 3.25725- 3 1.10000+ 1 2.70000+ 1 4.88753- 5 3.27100- 3 1.10000+ 1 2.90000+ 1 1.29241- 4 3.27692- 3 1.10000+ 1 3.00000+ 1 7.60243- 6 3.27725- 3 1.30000+ 1 1.30000+ 1 4.98011- 2 3.02042- 3 1.30000+ 1 1.40000+ 1 2.15566- 1 3.02846- 3 1.30000+ 1 1.60000+ 1 3.72529- 4 3.35356- 3 1.30000+ 1 1.80000+ 1 5.90493- 3 3.39069- 3 1.30000+ 1 1.90000+ 1 9.10809- 3 3.39759- 3 1.30000+ 1 2.10000+ 1 1.05039- 2 3.45597- 3 1.30000+ 1 2.20000+ 1 2.40538- 2 3.45688- 3 1.30000+ 1 2.70000+ 1 4.12707- 5 3.47063- 3 1.30000+ 1 2.90000+ 1 7.05971- 5 3.47655- 3 1.30000+ 1 3.00000+ 1 1.09698- 4 3.47688- 3 1.40000+ 1 1.40000+ 1 1.02499- 2 3.03650- 3 1.40000+ 1 1.60000+ 1 6.71198- 4 3.36160- 3 1.40000+ 1 1.80000+ 1 9.21332- 3 3.39873- 3 1.40000+ 1 1.90000+ 1 1.12625- 3 3.40563- 3 1.40000+ 1 2.10000+ 1 1.96461- 2 3.46401- 3 1.40000+ 1 2.20000+ 1 2.09726- 3 3.46492- 3 1.40000+ 1 2.70000+ 1 7.16814- 5 3.47867- 3 1.40000+ 1 2.90000+ 1 1.07528- 4 3.48459- 3 1.40000+ 1 3.00000+ 1 1.30331- 5 3.48492- 3 1.60000+ 1 1.60000+ 1 3.63623- 5 3.68670- 3 1.60000+ 1 1.80000+ 1 8.59179- 4 3.72383- 3 1.60000+ 1 1.90000+ 1 9.02293- 5 3.73073- 3 1.60000+ 1 2.10000+ 1 4.04009- 5 3.78911- 3 1.60000+ 1 2.20000+ 1 6.73337- 5 3.79002- 3 1.60000+ 1 2.70000+ 1 8.08021- 6 3.80377- 3 1.60000+ 1 2.90000+ 1 1.07740- 5 3.80969- 3 1.60000+ 1 3.00000+ 1 1.34670- 6 3.81002- 3 1.80000+ 1 1.80000+ 1 6.02250- 4 3.76096- 3 1.80000+ 1 1.90000+ 1 1.89396- 3 3.76786- 3 1.80000+ 1 2.10000+ 1 7.01347- 4 3.82624- 3 1.80000+ 1 2.20000+ 1 1.10965- 3 3.82715- 3 1.80000+ 1 2.70000+ 1 7.54123- 5 3.84090- 3 1.80000+ 1 2.90000+ 1 1.50821- 5 3.84682- 3 1.80000+ 1 3.00000+ 1 2.26236- 5 3.84715- 3 1.90000+ 1 1.90000+ 1 4.88720- 5 3.77476- 3 1.90000+ 1 2.10000+ 1 9.70903- 4 3.83314- 3 1.90000+ 1 2.20000+ 1 1.14038- 4 3.83405- 3 1.90000+ 1 2.70000+ 1 7.60191- 6 3.84780- 3 1.90000+ 1 2.90000+ 1 2.28056- 5 3.85372- 3 1.90000+ 1 3.00000+ 1 1.08600- 6 3.85405- 3 2.10000+ 1 2.10000+ 1 5.48463- 4 3.89152- 3 2.10000+ 1 2.20000+ 1 2.24936- 3 3.89243- 3 2.10000+ 1 2.70000+ 1 3.25826- 6 3.90618- 3 2.10000+ 1 2.90000+ 1 8.68902- 6 3.91210- 3 2.10000+ 1 3.00000+ 1 1.19476- 5 3.91243- 3 2.20000+ 1 2.20000+ 1 1.21586- 4 3.89334- 3 2.20000+ 1 2.70000+ 1 6.14020- 6 3.90709- 3 2.20000+ 1 2.90000+ 1 1.47370- 5 3.91301- 3 2.20000+ 1 3.00000+ 1 1.22806- 6 3.91334- 3 2.70000+ 1 2.90000+ 1 1.08611- 6 3.92676- 3 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 6.21202- 3 2.91716- 3 1.00000+ 1 3.09891- 5 3.02878- 3 1.10000+ 1 2.90761- 5 3.06773- 3 1.30000+ 1 5.39872- 3 3.26736- 3 1.40000+ 1 4.78882- 2 3.27540- 3 1.60000+ 1 4.41862- 4 3.60050- 3 1.80000+ 1 1.82781- 6 3.63763- 3 1.90000+ 1 1.74281- 6 3.64453- 3 2.10000+ 1 5.94202- 4 3.70291- 3 2.20000+ 1 5.26492- 3 3.70382- 3 2.70000+ 1 3.90521- 5 3.71757- 3 2.90000+ 1 1.54491- 8 3.72349- 3 3.00000+ 1 1.36000- 8 3.72382- 3 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.48931- 3 2.10592- 3 8.00000+ 0 1.00000+ 1 1.09629- 3 2.21754- 3 8.00000+ 0 1.10000+ 1 3.11246- 2 2.25649- 3 8.00000+ 0 1.30000+ 1 3.04949- 3 2.45612- 3 8.00000+ 0 1.40000+ 1 3.21231- 3 2.46416- 3 8.00000+ 0 1.60000+ 1 4.77937- 4 2.78926- 3 8.00000+ 0 1.80000+ 1 1.66402- 4 2.82639- 3 8.00000+ 0 1.90000+ 1 3.91568- 3 2.83329- 3 8.00000+ 0 2.10000+ 1 2.14780- 4 2.89167- 3 8.00000+ 0 2.20000+ 1 2.12421- 4 2.89258- 3 8.00000+ 0 2.70000+ 1 5.07474- 5 2.90633- 3 8.00000+ 0 2.90000+ 1 2.36030- 6 2.91225- 3 8.00000+ 0 3.00000+ 1 4.48451- 5 2.91258- 3 1.00000+ 1 1.00000+ 1 3.78825- 4 2.32916- 3 1.00000+ 1 1.10000+ 1 5.16581- 2 2.36811- 3 1.00000+ 1 1.30000+ 1 3.55575- 3 2.56774- 3 1.00000+ 1 1.40000+ 1 3.18263- 2 2.57578- 3 1.00000+ 1 1.60000+ 1 1.90002- 4 2.90088- 3 1.00000+ 1 1.80000+ 1 1.14468- 4 2.93801- 3 1.00000+ 1 1.90000+ 1 6.71377- 3 2.94491- 3 1.00000+ 1 2.10000+ 1 4.05972- 4 3.00329- 3 1.00000+ 1 2.20000+ 1 3.18992- 3 3.00420- 3 1.00000+ 1 2.70000+ 1 2.00627- 5 3.01795- 3 1.00000+ 1 2.90000+ 1 1.18016- 6 3.02387- 3 1.00000+ 1 3.00000+ 1 7.78888- 5 3.02420- 3 1.10000+ 1 1.10000+ 1 7.34249- 2 2.40706- 3 1.10000+ 1 1.30000+ 1 7.38546- 2 2.60669- 3 1.10000+ 1 1.40000+ 1 1.12487- 1 2.61473- 3 1.10000+ 1 1.60000+ 1 6.28779- 3 2.93983- 3 1.10000+ 1 1.80000+ 1 8.94888- 3 2.97696- 3 1.10000+ 1 1.90000+ 1 2.23423- 2 2.98386- 3 1.10000+ 1 2.10000+ 1 8.67742- 3 3.04224- 3 1.10000+ 1 2.20000+ 1 1.30028- 2 3.04315- 3 1.10000+ 1 2.70000+ 1 6.90359- 4 3.05690- 3 1.10000+ 1 2.90000+ 1 1.09758- 4 3.06282- 3 1.10000+ 1 3.00000+ 1 2.65523- 4 3.06315- 3 1.30000+ 1 1.30000+ 1 1.06669- 2 2.80632- 3 1.30000+ 1 1.40000+ 1 2.05682- 1 2.81436- 3 1.30000+ 1 1.60000+ 1 5.71176- 4 3.13946- 3 1.30000+ 1 1.80000+ 1 6.11297- 4 3.17659- 3 1.30000+ 1 1.90000+ 1 9.01475- 3 3.18349- 3 1.30000+ 1 2.10000+ 1 2.26112- 3 3.24187- 3 1.30000+ 1 2.20000+ 1 1.89400- 2 3.24278- 3 1.30000+ 1 2.70000+ 1 6.25480- 5 3.25653- 3 1.30000+ 1 2.90000+ 1 7.08061- 6 3.26245- 3 1.30000+ 1 3.00000+ 1 1.03851- 4 3.26278- 3 1.40000+ 1 1.40000+ 1 1.39866- 1 2.82240- 3 1.40000+ 1 1.60000+ 1 6.43181- 4 3.14750- 3 1.40000+ 1 1.80000+ 1 5.16322- 3 3.18463- 3 1.40000+ 1 1.90000+ 1 1.52310- 2 3.19153- 3 1.40000+ 1 2.10000+ 1 2.20248- 2 3.24991- 3 1.40000+ 1 2.20000+ 1 2.83598- 2 3.25082- 3 1.40000+ 1 2.70000+ 1 7.08072- 5 3.26457- 3 1.40000+ 1 2.90000+ 1 6.25489- 5 3.27049- 3 1.40000+ 1 3.00000+ 1 1.79387- 4 3.27082- 3 1.60000+ 1 1.60000+ 1 4.73080- 5 3.47260- 3 1.60000+ 1 1.80000+ 1 3.69603- 5 3.50973- 3 1.60000+ 1 1.90000+ 1 9.91961- 4 3.51663- 3 1.60000+ 1 2.10000+ 1 5.32218- 5 3.57501- 3 1.60000+ 1 2.20000+ 1 5.61780- 5 3.57592- 3 1.60000+ 1 2.70000+ 1 1.03483- 5 3.58967- 3 1.60000+ 1 3.00000+ 1 1.18269- 5 3.59592- 3 1.80000+ 1 1.80000+ 1 8.21448- 6 3.54686- 3 1.80000+ 1 1.90000+ 1 1.15476- 3 3.55376- 3 1.80000+ 1 2.10000+ 1 6.80639- 5 3.61214- 3 1.80000+ 1 2.20000+ 1 5.26938- 4 3.61305- 3 1.80000+ 1 2.70000+ 1 3.52054- 6 3.62680- 3 1.80000+ 1 3.00000+ 1 1.29084- 5 3.63305- 3 1.90000+ 1 1.90000+ 1 1.63158- 3 3.56066- 3 1.90000+ 1 2.10000+ 1 1.04841- 3 3.61904- 3 1.90000+ 1 2.20000+ 1 1.72245- 3 3.61995- 3 1.90000+ 1 2.70000+ 1 8.63006- 5 3.63370- 3 1.90000+ 1 2.90000+ 1 1.39945- 5 3.63962- 3 1.90000+ 1 3.00000+ 1 3.84850- 5 3.63995- 3 2.10000+ 1 2.10000+ 1 1.18019- 4 3.67742- 3 2.10000+ 1 2.20000+ 1 2.07709- 3 3.67833- 3 2.10000+ 1 2.70000+ 1 4.72052- 6 3.69208- 3 2.10000+ 1 2.90000+ 1 1.18019- 6 3.69800- 3 2.10000+ 1 3.00000+ 1 1.18019- 5 3.69833- 3 2.20000+ 1 2.20000+ 1 1.52418- 3 3.67924- 3 2.20000+ 1 2.70000+ 1 4.98101- 6 3.69299- 3 2.20000+ 1 2.90000+ 1 7.47163- 6 3.69891- 3 2.20000+ 1 3.00000+ 1 2.11704- 5 3.69924- 3 2.70000+ 1 3.00000+ 1 1.18020- 6 3.71299- 3 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.20234- 5 1.11620- 4 1.10000+ 1 6.13267- 5 1.50570- 4 1.80000+ 1 1.38112- 4 7.20470- 4 1.90000+ 1 1.97064- 4 7.27370- 4 2.90000+ 1 1.27064- 6 8.06330- 4 3.00000+ 1 1.69943- 6 8.06660- 4 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.80000+ 1 5.06489- 2 2.08500- 5 1.00000+ 1 1.90000+ 1 9.56822- 2 2.77500- 5 1.00000+ 1 2.10000+ 1 5.86778- 2 8.61300- 5 1.00000+ 1 2.20000+ 1 7.89299- 2 8.70400- 5 1.00000+ 1 2.70000+ 1 4.57234- 3 1.00790- 4 1.00000+ 1 2.90000+ 1 3.58231- 4 1.06710- 4 1.00000+ 1 3.00000+ 1 6.14311- 4 1.07040- 4 1.10000+ 1 1.60000+ 1 7.65737- 2 2.26700- 5 1.10000+ 1 1.80000+ 1 8.37926- 2 5.98000- 5 1.10000+ 1 1.90000+ 1 1.31907- 1 6.67000- 5 1.10000+ 1 2.10000+ 1 5.03908- 2 1.25080- 4 1.10000+ 1 2.20000+ 1 7.43234- 2 1.25990- 4 1.10000+ 1 2.70000+ 1 6.75027- 3 1.39740- 4 1.10000+ 1 2.90000+ 1 5.63258- 4 1.45660- 4 1.10000+ 1 3.00000+ 1 8.49183- 4 1.45990- 4 1.30000+ 1 1.60000+ 1 3.07246- 2 2.22300- 4 1.30000+ 1 1.80000+ 1 6.10665- 3 2.59430- 4 1.30000+ 1 1.90000+ 1 4.63810- 3 2.66330- 4 1.30000+ 1 2.10000+ 1 5.94528- 3 3.24710- 4 1.30000+ 1 2.20000+ 1 7.01621- 3 3.25620- 4 1.30000+ 1 2.70000+ 1 2.01395- 3 3.39370- 4 1.30000+ 1 2.90000+ 1 3.77647- 5 3.45290- 4 1.30000+ 1 3.00000+ 1 2.62085- 5 3.45620- 4 1.40000+ 1 1.60000+ 1 4.51657- 2 2.30340- 4 1.40000+ 1 1.80000+ 1 1.66566- 3 2.67470- 4 1.40000+ 1 1.90000+ 1 1.20782- 2 2.74370- 4 1.40000+ 1 2.10000+ 1 7.40202- 3 3.32750- 4 1.40000+ 1 2.20000+ 1 1.18979- 2 3.33660- 4 1.40000+ 1 2.70000+ 1 2.95113- 3 3.47410- 4 1.40000+ 1 2.90000+ 1 9.49168- 6 3.53330- 4 1.40000+ 1 3.00000+ 1 6.91293- 5 3.53660- 4 1.60000+ 1 1.60000+ 1 1.12525- 2 5.55440- 4 1.60000+ 1 1.80000+ 1 1.73242- 2 5.92570- 4 1.60000+ 1 1.90000+ 1 3.20517- 2 5.99470- 4 1.60000+ 1 2.10000+ 1 2.58183- 2 6.57850- 4 1.60000+ 1 2.20000+ 1 3.74731- 2 6.58760- 4 1.60000+ 1 2.70000+ 1 1.71432- 3 6.72510- 4 1.60000+ 1 2.90000+ 1 1.26283- 4 6.78430- 4 1.60000+ 1 3.00000+ 1 2.16841- 4 6.78760- 4 1.80000+ 1 1.80000+ 1 1.04747- 3 6.29700- 4 1.80000+ 1 1.90000+ 1 2.51973- 3 6.36600- 4 1.80000+ 1 2.10000+ 1 1.27575- 3 6.94980- 4 1.80000+ 1 2.20000+ 1 3.86539- 4 6.95890- 4 1.80000+ 1 2.70000+ 1 1.14247- 3 7.09640- 4 1.80000+ 1 2.90000+ 1 1.31929- 5 7.15560- 4 1.80000+ 1 3.00000+ 1 1.45115- 5 7.15890- 4 1.90000+ 1 1.90000+ 1 3.20106- 3 6.43500- 4 1.90000+ 1 2.10000+ 1 1.00114- 3 7.01880- 4 1.90000+ 1 2.20000+ 1 2.98948- 3 7.02790- 4 1.90000+ 1 2.70000+ 1 2.02363- 3 7.16540- 4 1.90000+ 1 2.90000+ 1 1.51114- 5 7.22460- 4 1.90000+ 1 3.00000+ 1 3.77778- 5 7.22790- 4 2.10000+ 1 2.10000+ 1 2.90085- 4 7.60260- 4 2.10000+ 1 2.20000+ 1 7.59034- 4 7.61170- 4 2.10000+ 1 2.70000+ 1 1.54714- 3 7.74920- 4 2.10000+ 1 2.90000+ 1 7.25211- 6 7.80840- 4 2.10000+ 1 3.00000+ 1 4.83457- 6 7.81170- 4 2.20000+ 1 2.20000+ 1 6.07949- 4 7.62080- 4 2.20000+ 1 2.70000+ 1 2.24565- 3 7.75830- 4 2.20000+ 1 2.90000+ 1 2.41726- 6 7.81750- 4 2.20000+ 1 3.00000+ 1 1.69211- 5 7.82080- 4 2.70000+ 1 2.70000+ 1 5.92214- 5 7.89580- 4 2.70000+ 1 2.90000+ 1 7.25198- 6 7.95500- 4 2.70000+ 1 3.00000+ 1 1.32949- 5 7.95830- 4 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.24827- 4 2.38580- 4 1.60000+ 1 2.30758- 4 5.71720- 4 2.10000+ 1 5.95233- 4 6.74130- 4 2.70000+ 1 2.31479- 5 6.88790- 4 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.89180- 2 1.34600- 5 1.10000+ 1 2.20000+ 1 4.66191- 2 1.43700- 5 1.10000+ 1 2.70000+ 1 5.98734- 3 2.81200- 5 1.10000+ 1 2.90000+ 1 4.34351- 4 3.40400- 5 1.10000+ 1 3.00000+ 1 4.45779- 4 3.43700- 5 1.30000+ 1 1.60000+ 1 1.39268- 1 1.10680- 4 1.30000+ 1 1.80000+ 1 1.41825- 1 1.47810- 4 1.30000+ 1 1.90000+ 1 2.13852- 1 1.54710- 4 1.30000+ 1 2.10000+ 1 4.58588- 2 2.13090- 4 1.30000+ 1 2.20000+ 1 4.52938- 2 2.14000- 4 1.30000+ 1 2.70000+ 1 1.25979- 2 2.27750- 4 1.30000+ 1 2.90000+ 1 9.19801- 4 2.33670- 4 1.30000+ 1 3.00000+ 1 1.39179- 3 2.34000- 4 1.40000+ 1 1.60000+ 1 2.39640- 2 1.18720- 4 1.40000+ 1 1.80000+ 1 1.80196- 1 1.55850- 4 1.40000+ 1 1.90000+ 1 1.90542- 2 1.62750- 4 1.40000+ 1 2.10000+ 1 4.53050- 3 2.21130- 4 1.40000+ 1 2.20000+ 1 6.25299- 3 2.22040- 4 1.40000+ 1 2.70000+ 1 1.52893- 3 2.35790- 4 1.40000+ 1 2.90000+ 1 1.02602- 3 2.41710- 4 1.40000+ 1 3.00000+ 1 1.15652- 4 2.42040- 4 1.60000+ 1 1.60000+ 1 7.06205- 4 4.43820- 4 1.60000+ 1 1.80000+ 1 1.02425- 2 4.80950- 4 1.60000+ 1 1.90000+ 1 1.66063- 3 4.87850- 4 1.60000+ 1 2.10000+ 1 3.59234- 4 5.46230- 4 1.60000+ 1 2.20000+ 1 8.90880- 4 5.47140- 4 1.60000+ 1 2.70000+ 1 1.03154- 4 5.60890- 4 1.60000+ 1 2.90000+ 1 5.62647- 5 5.66810- 4 1.60000+ 1 3.00000+ 1 1.00991- 5 5.67140- 4 1.80000+ 1 1.80000+ 1 6.73287- 3 5.18080- 4 1.80000+ 1 1.90000+ 1 2.11462- 2 5.24980- 4 1.80000+ 1 2.10000+ 1 1.48517- 2 5.83360- 4 1.80000+ 1 2.20000+ 1 2.46766- 2 5.84270- 4 1.80000+ 1 2.70000+ 1 8.84031- 4 5.98020- 4 1.80000+ 1 2.90000+ 1 8.69304- 5 6.03940- 4 1.80000+ 1 3.00000+ 1 1.42315- 4 6.04270- 4 1.90000+ 1 1.90000+ 1 6.16559- 4 5.31880- 4 1.90000+ 1 2.10000+ 1 1.79304- 3 5.90260- 4 1.90000+ 1 2.20000+ 1 1.21599- 3 5.91170- 4 1.90000+ 1 2.70000+ 1 1.17257- 4 6.04920- 4 1.90000+ 1 2.90000+ 1 1.31239- 4 6.10840- 4 1.90000+ 1 3.00000+ 1 6.98894- 6 6.11170- 4 2.10000+ 1 2.10000+ 1 5.31666- 4 6.48640- 4 2.10000+ 1 2.20000+ 1 1.14554- 3 6.49550- 4 2.10000+ 1 2.70000+ 1 3.21025- 5 6.63300- 4 2.10000+ 1 2.90000+ 1 9.16147- 5 6.69220- 4 2.10000+ 1 3.00000+ 1 1.09623- 5 6.69550- 4 2.20000+ 1 2.20000+ 1 2.18482- 4 6.50460- 4 2.20000+ 1 2.70000+ 1 5.05125- 5 6.64210- 4 2.20000+ 1 2.90000+ 1 1.19886- 4 6.70130- 4 2.20000+ 1 3.00000+ 1 5.47729- 6 6.70460- 4 2.70000+ 1 2.70000+ 1 3.36178- 6 6.77960- 4 2.70000+ 1 2.90000+ 1 4.70650- 6 6.83880- 4 2.70000+ 1 3.00000+ 1 6.72375- 7 6.84210- 4 2.90000+ 1 3.00000+ 1 6.72376- 7 6.90130- 4 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.68731- 5 1.99630- 4 1.40000+ 1 2.77578- 4 2.07670- 4 1.60000+ 1 2.81847- 4 5.32770- 4 2.10000+ 1 7.38662- 5 6.35180- 4 2.20000+ 1 6.09594- 4 6.36090- 4 2.70000+ 1 2.80689- 5 6.49840- 4 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 2.84590- 2 7.17300- 5 1.30000+ 1 1.80000+ 1 1.99782- 2 1.08860- 4 1.30000+ 1 1.90000+ 1 1.26970- 1 1.15760- 4 1.30000+ 1 2.10000+ 1 1.11938- 2 1.74140- 4 1.30000+ 1 2.20000+ 1 7.70633- 3 1.75050- 4 1.30000+ 1 2.70000+ 1 2.11418- 3 1.88800- 4 1.30000+ 1 2.90000+ 1 1.36567- 4 1.94720- 4 1.30000+ 1 3.00000+ 1 7.05492- 4 1.95050- 4 1.40000+ 1 1.60000+ 1 1.31805- 1 7.97700- 5 1.40000+ 1 1.80000+ 1 1.33523- 1 1.16900- 4 1.40000+ 1 1.90000+ 1 2.77672- 1 1.23800- 4 1.40000+ 1 2.10000+ 1 3.97124- 2 1.82180- 4 1.40000+ 1 2.20000+ 1 7.15554- 2 1.83090- 4 1.40000+ 1 2.70000+ 1 1.18037- 2 1.96840- 4 1.40000+ 1 2.90000+ 1 9.21429- 4 2.02760- 4 1.40000+ 1 3.00000+ 1 1.68307- 3 2.03090- 4 1.60000+ 1 1.60000+ 1 8.98589- 4 4.04870- 4 1.60000+ 1 1.80000+ 1 1.30670- 3 4.42000- 4 1.60000+ 1 1.90000+ 1 1.89493- 2 4.48900- 4 1.60000+ 1 2.10000+ 1 9.70051- 4 5.07280- 4 1.60000+ 1 2.20000+ 1 1.08997- 3 5.08190- 4 1.60000+ 1 2.70000+ 1 1.30795- 4 5.21940- 4 1.60000+ 1 2.90000+ 1 8.47713- 6 5.27860- 4 1.60000+ 1 3.00000+ 1 9.93066- 5 5.28190- 4 1.80000+ 1 1.80000+ 1 2.06686- 4 4.79130- 4 1.80000+ 1 1.90000+ 1 1.88601- 2 4.86030- 4 1.80000+ 1 2.10000+ 1 4.90469- 4 5.44410- 4 1.80000+ 1 2.20000+ 1 2.48479- 3 5.45320- 4 1.80000+ 1 2.70000+ 1 8.15604- 5 5.59070- 4 1.80000+ 1 2.90000+ 1 2.23463- 6 5.64990- 4 1.80000+ 1 3.00000+ 1 9.94392- 5 5.65320- 4 1.90000+ 1 1.90000+ 1 2.41871- 2 4.92930- 4 1.90000+ 1 2.10000+ 1 2.49091- 2 5.51310- 4 1.90000+ 1 2.20000+ 1 3.38675- 2 5.52220- 4 1.90000+ 1 2.70000+ 1 1.33581- 3 5.65970- 4 1.90000+ 1 2.90000+ 1 1.18696- 4 5.71890- 4 1.90000+ 1 3.00000+ 1 2.91875- 4 5.72220- 4 2.10000+ 1 2.10000+ 1 1.33995- 4 6.09690- 4 2.10000+ 1 2.20000+ 1 1.12278- 3 6.10600- 4 2.10000+ 1 2.70000+ 1 3.52623- 5 6.24350- 4 2.10000+ 1 2.90000+ 1 1.41058- 6 6.30270- 4 2.10000+ 1 3.00000+ 1 9.52086- 5 6.30600- 4 2.20000+ 1 2.20000+ 1 7.97471- 4 6.11510- 4 2.20000+ 1 2.70000+ 1 4.35253- 5 6.25260- 4 2.20000+ 1 2.90000+ 1 8.42415- 6 6.31180- 4 2.20000+ 1 3.00000+ 1 1.27756- 4 6.31510- 4 2.70000+ 1 2.70000+ 1 2.38560- 6 6.39010- 4 2.70000+ 1 3.00000+ 1 4.17468- 6 6.45260- 4 2.90000+ 1 3.00000+ 1 5.96400- 7 6.51180- 4 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 7.73915- 4 3.70270- 4 1.90000+ 1 1.28401- 4 3.77170- 4 2.90000+ 1 6.34274- 6 4.56130- 4 3.00000+ 1 9.71226- 7 4.56460- 4 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.90000+ 1 4.70287- 4 3.13000- 6 1.40000+ 1 3.00000+ 1 1.49512- 3 3.46000- 6 1.60000+ 1 1.60000+ 1 5.54502- 4 2.05240- 4 1.60000+ 1 1.80000+ 1 1.09502- 2 2.42370- 4 1.60000+ 1 1.90000+ 1 1.04584- 2 2.49270- 4 1.60000+ 1 2.10000+ 1 1.34907- 1 3.07650- 4 1.60000+ 1 2.20000+ 1 2.19622- 2 3.08560- 4 1.60000+ 1 2.70000+ 1 6.31731- 5 3.22310- 4 1.60000+ 1 2.90000+ 1 6.31731- 5 3.28230- 4 1.60000+ 1 3.00000+ 1 4.21133- 5 3.28560- 4 1.80000+ 1 1.80000+ 1 1.51615- 3 2.79500- 4 1.80000+ 1 1.90000+ 1 2.21655- 2 2.86400- 4 1.80000+ 1 2.10000+ 1 1.00603- 1 3.44780- 4 1.80000+ 1 2.20000+ 1 8.94932- 3 3.45690- 4 1.80000+ 1 2.70000+ 1 3.86053- 4 3.59440- 4 1.80000+ 1 2.90000+ 1 2.10572- 5 3.65360- 4 1.80000+ 1 3.00000+ 1 1.19323- 4 3.65690- 4 1.90000+ 1 1.90000+ 1 9.17386- 3 2.93300- 4 1.90000+ 1 2.10000+ 1 2.23419- 1 3.51680- 4 1.90000+ 1 2.20000+ 1 9.22314- 3 3.52590- 4 1.90000+ 1 2.70000+ 1 4.91323- 4 3.66340- 4 1.90000+ 1 2.90000+ 1 1.26351- 4 3.72260- 4 1.90000+ 1 3.00000+ 1 9.82681- 5 3.72590- 4 2.10000+ 1 2.10000+ 1 1.38534- 1 4.10060- 4 2.10000+ 1 2.20000+ 1 2.84465- 1 4.10970- 4 2.10000+ 1 2.70000+ 1 1.07322- 2 4.24720- 4 2.10000+ 1 2.90000+ 1 7.29985- 4 4.30640- 4 2.10000+ 1 3.00000+ 1 1.48109- 3 4.30970- 4 2.20000+ 1 2.20000+ 1 4.80098- 3 4.11880- 4 2.20000+ 1 2.70000+ 1 9.89694- 4 4.25630- 4 2.20000+ 1 2.90000+ 1 4.91322- 5 4.31550- 4 2.20000+ 1 3.00000+ 1 4.91322- 5 4.31880- 4 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 8.15090- 4 3.69130- 4 3.00000+ 1 6.16207- 6 4.48420- 4 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 8.45286- 4 1.97200- 4 1.60000+ 1 1.80000+ 1 6.25656- 3 2.34330- 4 1.60000+ 1 1.90000+ 1 1.71551- 2 2.41230- 4 1.60000+ 1 2.10000+ 1 1.60677- 2 2.99610- 4 1.60000+ 1 2.20000+ 1 1.42137- 1 3.00520- 4 1.60000+ 1 2.70000+ 1 9.00717- 5 3.14270- 4 1.60000+ 1 2.90000+ 1 2.77136- 5 3.20190- 4 1.60000+ 1 3.00000+ 1 8.31434- 5 3.20520- 4 1.80000+ 1 1.80000+ 1 2.07859- 5 2.71460- 4 1.80000+ 1 1.90000+ 1 2.21863- 2 2.78360- 4 1.80000+ 1 2.10000+ 1 1.94016- 3 3.36740- 4 1.80000+ 1 2.20000+ 1 1.23040- 1 3.37650- 4 1.80000+ 1 2.70000+ 1 2.77145- 4 3.51400- 4 1.80000+ 1 3.00000+ 1 1.17792- 4 3.57650- 4 1.90000+ 1 1.90000+ 1 1.51464- 2 2.85260- 4 1.90000+ 1 2.10000+ 1 1.14461- 2 3.43640- 4 1.90000+ 1 2.20000+ 1 2.04087- 1 3.44550- 4 1.90000+ 1 2.70000+ 1 6.78996- 4 3.58300- 4 1.90000+ 1 2.90000+ 1 1.17790- 4 3.64220- 4 1.90000+ 1 3.00000+ 1 1.66296- 4 3.64550- 4 2.10000+ 1 2.10000+ 1 1.98170- 3 4.02020- 4 2.10000+ 1 2.20000+ 1 1.95751- 1 4.02930- 4 2.10000+ 1 2.70000+ 1 7.20583- 4 4.16680- 4 2.10000+ 1 2.90000+ 1 1.38580- 5 4.22600- 4 2.10000+ 1 3.00000+ 1 5.54307- 5 4.22930- 4 2.20000+ 1 2.20000+ 1 2.25564- 1 4.03840- 4 2.20000+ 1 2.70000+ 1 1.09743- 2 4.17590- 4 2.20000+ 1 2.90000+ 1 8.66068- 4 4.23510- 4 2.20000+ 1 3.00000+ 1 1.35811- 3 4.23840- 4 2.70000+ 1 3.00000+ 1 6.92898- 6 4.37590- 4 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 8.99273- 6 3.71300- 5 1.90000+ 1 2.66255- 5 4.40300- 5 2.90000+ 1 2.82324- 7 1.22990- 4 3.00000+ 1 2.36710- 7 1.23320- 4 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10000+ 1 3.13612- 2 1.16400- 5 1.80000+ 1 2.20000+ 1 1.17895- 1 1.25500- 5 1.80000+ 1 2.70000+ 1 8.75568- 3 2.63000- 5 1.80000+ 1 2.90000+ 1 4.93629- 4 3.22200- 5 1.80000+ 1 3.00000+ 1 1.28375- 3 3.25500- 5 1.90000+ 1 2.10000+ 1 3.55758- 1 1.85400- 5 1.90000+ 1 2.20000+ 1 3.78615- 1 1.94500- 5 1.90000+ 1 2.70000+ 1 1.83631- 2 3.32000- 5 1.90000+ 1 2.90000+ 1 1.65767- 3 3.91200- 5 1.90000+ 1 3.00000+ 1 2.18216- 3 3.94500- 5 2.10000+ 1 2.10000+ 1 1.56975- 3 7.69200- 5 2.10000+ 1 2.20000+ 1 4.37208- 2 7.78300- 5 2.10000+ 1 2.70000+ 1 7.85877- 3 9.15800- 5 2.10000+ 1 2.90000+ 1 6.52069- 5 9.75000- 5 2.10000+ 1 3.00000+ 1 7.36206- 4 9.78300- 5 2.20000+ 1 2.20000+ 1 5.88485- 3 7.87400- 5 2.20000+ 1 2.70000+ 1 5.12322- 3 9.24900- 5 2.20000+ 1 2.90000+ 1 2.69092- 4 9.84100- 5 2.20000+ 1 3.00000+ 1 2.39777- 4 9.87400- 5 2.70000+ 1 2.70000+ 1 1.30436- 2 1.06240- 4 2.70000+ 1 2.90000+ 1 1.47146- 3 1.12160- 4 2.70000+ 1 3.00000+ 1 2.55089- 3 1.12490- 4 2.90000+ 1 3.00000+ 1 1.06499- 3 1.18410- 4 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.17311- 5 6.52800- 5 2.70000+ 1 2.29661- 6 7.99400- 5 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 5.49502- 4 1.99000- 6 1.90000+ 1 3.00000+ 1 7.92402- 4 2.32000- 6 2.10000+ 1 2.10000+ 1 1.60965- 1 3.97900- 5 2.10000+ 1 2.20000+ 1 7.91695- 1 4.07000- 5 2.10000+ 1 2.70000+ 1 1.26357- 2 5.44500- 5 2.10000+ 1 2.90000+ 1 9.81929- 4 6.03700- 5 2.10000+ 1 3.00000+ 1 1.95464- 3 6.07000- 5 2.20000+ 1 2.20000+ 1 2.78490- 2 4.16100- 5 2.20000+ 1 2.70000+ 1 1.17376- 3 5.53600- 5 2.20000+ 1 2.90000+ 1 1.09766- 3 6.12800- 5 2.20000+ 1 3.00000+ 1 2.05692- 4 6.16100- 5 2.70000+ 1 2.70000+ 1 3.11231- 6 6.91100- 5 2.70000+ 1 2.90000+ 1 4.99385- 5 7.50300- 5 2.70000+ 1 3.00000+ 1 5.23435- 6 7.53600- 5 2.90000+ 1 3.00000+ 1 7.35662- 6 8.12800- 5 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 8.31720- 7 5.83800- 5 2.20000+ 1 7.93580- 6 5.92900- 5 2.70000+ 1 8.44040- 7 7.30400- 5 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 2.29548- 2 3.28900- 5 2.10000+ 1 2.20000+ 1 5.81745- 1 3.38000- 5 2.10000+ 1 2.70000+ 1 2.16648- 3 4.75500- 5 2.10000+ 1 2.90000+ 1 1.69898- 4 5.34700- 5 2.10000+ 1 3.00000+ 1 8.73573- 4 5.38000- 5 2.20000+ 1 2.20000+ 1 3.76626- 1 3.47100- 5 2.20000+ 1 2.70000+ 1 1.21088- 2 4.84600- 5 2.20000+ 1 2.90000+ 1 1.22648- 3 5.43800- 5 2.20000+ 1 3.00000+ 1 2.05908- 3 5.47100- 5 2.70000+ 1 2.70000+ 1 1.77507- 6 6.22100- 5 2.70000+ 1 2.90000+ 1 3.80364- 6 6.81300- 5 2.70000+ 1 3.00000+ 1 5.07143- 5 6.84600- 5 2.90000+ 1 3.00000+ 1 4.05730- 6 7.43800- 5 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.70179-10 2.05800- 5 3.00000+ 1 6.44637-11 2.09100- 5 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 4.32822- 1 3.83000- 6 2.70000+ 1 2.90000+ 1 2.69162- 1 9.75000- 6 2.70000+ 1 3.00000+ 1 2.39722- 1 1.00800- 5 2.90000+ 1 3.00000+ 1 5.82938- 2 1.60000- 5 1 49000 0 7 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 4.56828-10 2.00000- 5 1 49000 0 9 1.14820+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.90000+ 1 2.12361- 1 8.84000- 6 2.70000+ 1 3.00000+ 1 7.26924- 1 9.17000- 6 2.90000+ 1 3.00000+ 1 6.07147- 2 1.50900- 5 1 50000 0 0 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 6.70000- 1 3.00000+ 1 1.33000+ 0 1 50000 0 0 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.91840- 2 3.00000+ 0 4.44030- 3 5.00000+ 0 4.16080- 3 6.00000+ 0 3.92680- 3 8.00000+ 0 8.69050- 4 1.00000+ 1 7.53360- 4 1.10000+ 1 7.10320- 4 1.30000+ 1 5.03570- 4 1.40000+ 1 4.94620- 4 1.60000+ 1 1.42810- 4 1.80000+ 1 1.03640- 4 1.90000+ 1 9.58000- 5 2.10000+ 1 3.34900- 5 2.20000+ 1 3.23900- 5 2.70000+ 1 1.33900- 5 2.90000+ 1 6.28000- 6 3.00000+ 1 5.77000- 6 1 50000 0 0 1.18690+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.71090- 2 3.00000+ 0 8.00330- 3 5.00000+ 0 8.01130- 3 6.00000+ 0 7.16000- 3 8.00000+ 0 2.28880- 3 1.00000+ 1 2.22300- 3 1.10000+ 1 2.03550- 3 1.30000+ 1 1.91400- 3 1.40000+ 1 1.86860- 3 1.60000+ 1 6.15430- 4 1.80000+ 1 5.49730- 4 1.90000+ 1 5.03680- 4 2.10000+ 1 3.56440- 4 2.20000+ 1 3.46740- 4 2.70000+ 1 8.67000- 5 2.90000+ 1 4.93100- 5 3.00000+ 1 4.27500- 5 1 50000 0 0 1.18690+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.53460-10 3.00000+ 0 6.59560-10 5.00000+ 0 5.56840-10 6.00000+ 0 5.85030-10 8.00000+ 0 1.78140- 9 1.00000+ 1 1.72880- 9 1.10000+ 1 1.78750- 9 1.30000+ 1 1.63150- 9 1.40000+ 1 1.65010- 9 1.60000+ 1 4.27860- 9 1.80000+ 1 4.50650- 9 1.90000+ 1 4.65710- 9 2.10000+ 1 5.54520- 9 2.20000+ 1 5.61480- 9 2.70000+ 1 1.21180- 8 2.90000+ 1 1.60140- 8 3.00000+ 1 1.69720- 8 1 50000 0 0 1.18690+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.08660- 6 3.00000+ 0 1.06570- 7 5.00000+ 0 1.78590- 7 6.00000+ 0 1.69520- 7 8.00000+ 0 2.15970- 9 1.00000+ 1 2.19690- 9 1.10000+ 1 2.11940- 9 1.30000+ 1 1.64080-10 1.40000+ 1 1.43240-10 1.60000+ 1 4.53520-11 1.80000+ 1 1.38120-10 1.90000+ 1 1.11340-10 2.10000+ 1 5.41060-13 2.20000+ 1 4.68450-13 1 50000 0 0 1.18690+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.19390- 6 3.00000+ 0 2.91120- 6 5.00000+ 0 2.42920- 6 6.00000+ 0 2.22910- 6 8.00000+ 0 1.23340- 5 1.00000+ 1 4.20910- 6 1.10000+ 1 4.54950- 6 1.30000+ 1 4.30480- 7 1.40000+ 1 4.35660- 7 1.60000+ 1 2.54860- 5 1.80000+ 1 2.16610- 5 1.90000+ 1 2.56210- 5 2.10000+ 1 8.03190- 8 2.20000+ 1 7.85950- 8 1 50000 0 0 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.47281- 4 3.00000+ 0 1.66378- 4 5.00000+ 0 1.40190- 4 6.00000+ 0 1.33642- 4 8.00000+ 0 1.24242- 4 1.00000+ 1 1.00467- 4 1.10000+ 1 9.78050- 5 1.30000+ 1 5.87307- 5 1.40000+ 1 5.92431- 5 1.60000+ 1 6.12744- 5 1.80000+ 1 4.30598- 5 1.90000+ 1 4.32041- 5 2.10000+ 1 2.15355- 5 2.20000+ 1 2.18348- 5 2.70000+ 1 1.33900- 5 2.90000+ 1 6.28000- 6 3.00000+ 1 5.77000- 6 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.35034- 1 3.00000+ 0 7.64754- 2 5.00000+ 0 8.31961- 2 6.00000+ 0 7.33215- 2 8.00000+ 0 2.35900- 3 1.00000+ 1 2.51962- 3 1.10000+ 1 2.36104- 3 1.30000+ 1 1.14017- 3 1.40000+ 1 1.03475- 3 1.60000+ 1 5.87045- 5 1.80000+ 1 4.42689- 5 1.90000+ 1 1.26720- 5 2.10000+ 1 6.84457- 9 2.20000+ 1 7.16671- 9 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.24704- 2 3.00000+ 0 2.70567- 4 5.00000+ 0 2.95025- 4 6.00000+ 0 2.44591- 4 8.00000+ 0 1.20735- 6 1.00000+ 1 1.22888- 6 1.10000+ 1 1.15740- 6 1.30000+ 1 4.52834- 7 1.40000+ 1 4.07705- 7 1.60000+ 1 3.16597- 9 1.80000+ 1 3.17519- 9 1.90000+ 1 8.26755-10 2.10000+ 1 1.86761-13 2.20000+ 1 1.90778-13 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.25694+ 1 3.00000+ 0 1.43254+ 1 5.00000+ 0 1.19236+ 1 6.00000+ 0 1.13087+ 1 8.00000+ 0 1.04430+ 1 1.00000+ 1 8.26445+ 0 1.10000+ 1 8.00640+ 0 1.30000+ 1 4.42502+ 0 1.40000+ 1 4.44806+ 0 1.60000+ 1 4.64008+ 0 1.80000+ 1 2.97759+ 0 1.90000+ 1 2.97614+ 0 2.10000+ 1 1.00000+ 0 2.20000+ 1 1.00000+ 0 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.56631- 3 3.00000+ 0 4.00335- 3 5.00000+ 0 3.72558- 3 6.00000+ 0 3.54857- 3 8.00000+ 0 7.43601- 4 1.00000+ 1 6.51664- 4 1.10000+ 1 6.11358- 4 1.30000+ 1 4.44386- 4 1.40000+ 1 4.34969- 4 1.60000+ 1 8.15324- 5 1.80000+ 1 6.05770- 5 1.90000+ 1 5.25950- 5 2.10000+ 1 1.19545- 5 2.20000+ 1 1.05552- 5 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.48181- 1 2.50232- 2 6.00000+ 0 4.64342- 1 2.52572- 2 1.00000+ 1 4.18921- 2 2.84306- 2 1.10000+ 1 8.13413- 2 2.84737- 2 1.30000+ 1 3.36211- 4 2.86804- 2 1.40000+ 1 4.65142- 4 2.86894- 2 1.80000+ 1 8.58463- 3 2.90804- 2 1.90000+ 1 1.67661- 2 2.90882- 2 2.10000+ 1 4.97472- 5 2.91505- 2 2.20000+ 1 6.84092- 5 2.91516- 2 2.90000+ 1 1.71861- 4 2.91777- 2 3.00000+ 1 3.12041- 4 2.91782- 2 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 1.04630- 2 2.03034- 2 3.00000+ 0 5.00000+ 0 1.22577- 2 2.05829- 2 3.00000+ 0 6.00000+ 0 1.60274- 2 2.08169- 2 3.00000+ 0 8.00000+ 0 3.64557- 3 2.38746- 2 3.00000+ 0 1.00000+ 1 2.27313- 3 2.39903- 2 3.00000+ 0 1.10000+ 1 2.98891- 3 2.40334- 2 3.00000+ 0 1.30000+ 1 1.90837- 4 2.42401- 2 3.00000+ 0 1.40000+ 1 2.16222- 4 2.42491- 2 3.00000+ 0 1.60000+ 1 7.42979- 4 2.46009- 2 3.00000+ 0 1.80000+ 1 4.28048- 4 2.46401- 2 3.00000+ 0 1.90000+ 1 5.57472- 4 2.46479- 2 3.00000+ 0 2.10000+ 1 2.88297- 5 2.47102- 2 3.00000+ 0 2.20000+ 1 3.22760- 5 2.47113- 2 3.00000+ 0 2.70000+ 1 8.99343- 5 2.47303- 2 3.00000+ 0 2.90000+ 1 1.22205- 5 2.47374- 2 3.00000+ 0 3.00000+ 1 1.56669- 5 2.47379- 2 5.00000+ 0 5.00000+ 0 1.63952- 3 2.08624- 2 5.00000+ 0 6.00000+ 0 3.52383- 2 2.10964- 2 5.00000+ 0 8.00000+ 0 1.76864- 3 2.41541- 2 5.00000+ 0 1.00000+ 1 5.46488- 4 2.42698- 2 5.00000+ 0 1.10000+ 1 5.49034- 3 2.43129- 2 5.00000+ 0 1.30000+ 1 2.35644- 4 2.45196- 2 5.00000+ 0 1.40000+ 1 8.03446- 4 2.45286- 2 5.00000+ 0 1.60000+ 1 3.47186- 4 2.48804- 2 5.00000+ 0 1.80000+ 1 1.01214- 4 2.49196- 2 5.00000+ 0 1.90000+ 1 9.92120- 4 2.49274- 2 5.00000+ 0 2.10000+ 1 3.50953- 5 2.49897- 2 5.00000+ 0 2.20000+ 1 1.18760- 4 2.49908- 2 5.00000+ 0 2.70000+ 1 4.16761- 5 2.50098- 2 5.00000+ 0 2.90000+ 1 2.82018- 6 2.50169- 2 5.00000+ 0 3.00000+ 1 2.78900- 5 2.50174- 2 6.00000+ 0 6.00000+ 0 1.79448- 2 2.13304- 2 6.00000+ 0 8.00000+ 0 2.28063- 3 2.43881- 2 6.00000+ 0 1.00000+ 1 5.38260- 3 2.45038- 2 6.00000+ 0 1.10000+ 1 5.73591- 3 2.45469- 2 6.00000+ 0 1.30000+ 1 9.64476- 4 2.47536- 2 6.00000+ 0 1.40000+ 1 8.96833- 4 2.47626- 2 6.00000+ 0 1.60000+ 1 4.46838- 4 2.51144- 2 6.00000+ 0 1.80000+ 1 9.80201- 4 2.51536- 2 6.00000+ 0 1.90000+ 1 1.04219- 3 2.51614- 2 6.00000+ 0 2.10000+ 1 1.43831- 4 2.52237- 2 6.00000+ 0 2.20000+ 1 1.32856- 4 2.52248- 2 6.00000+ 0 2.70000+ 1 5.35837- 5 2.52438- 2 6.00000+ 0 2.90000+ 1 2.82018- 5 2.52509- 2 6.00000+ 0 3.00000+ 1 2.91421- 5 2.52514- 2 8.00000+ 0 8.00000+ 0 3.12731- 4 2.74459- 2 8.00000+ 0 1.00000+ 1 3.30916- 4 2.75616- 2 8.00000+ 0 1.10000+ 1 4.28672- 4 2.76046- 2 8.00000+ 0 1.30000+ 1 2.56963- 5 2.78114- 2 8.00000+ 0 1.40000+ 1 2.82024- 5 2.78203- 2 8.00000+ 0 1.60000+ 1 1.27232- 4 2.81721- 2 8.00000+ 0 1.80000+ 1 6.23583- 5 2.82113- 2 8.00000+ 0 1.90000+ 1 8.02206- 5 2.82191- 2 8.00000+ 0 2.10000+ 1 3.76042- 6 2.82815- 2 8.00000+ 0 2.20000+ 1 4.38714- 6 2.82826- 2 8.00000+ 0 2.70000+ 1 1.53552- 5 2.83016- 2 8.00000+ 0 2.90000+ 1 1.88006- 6 2.83087- 2 8.00000+ 0 3.00000+ 1 2.19343- 6 2.83092- 2 1.00000+ 1 1.00000+ 1 4.35559- 5 2.76773- 2 1.00000+ 1 1.10000+ 1 8.51694- 4 2.77203- 2 1.00000+ 1 1.30000+ 1 2.82013- 5 2.79271- 2 1.00000+ 1 1.40000+ 1 9.61980- 5 2.79360- 2 1.00000+ 1 1.60000+ 1 6.51775- 5 2.82878- 2 1.00000+ 1 1.80000+ 1 1.59802- 5 2.83270- 2 1.00000+ 1 1.90000+ 1 1.54176- 4 2.83348- 2 1.00000+ 1 2.10000+ 1 4.07361- 6 2.83971- 2 1.00000+ 1 2.20000+ 1 1.44144- 5 2.83982- 2 1.00000+ 1 2.70000+ 1 7.83378- 6 2.84172- 2 1.00000+ 1 2.90000+ 1 3.13356- 7 2.84244- 2 1.00000+ 1 3.00000+ 1 4.38697- 6 2.84249- 2 1.10000+ 1 1.10000+ 1 4.59680- 4 2.77634- 2 1.10000+ 1 1.30000+ 1 1.22200- 4 2.79701- 2 1.10000+ 1 1.40000+ 1 1.10928- 4 2.79791- 2 1.10000+ 1 1.60000+ 1 8.39773- 5 2.83309- 2 1.10000+ 1 1.80000+ 1 1.55423- 4 2.83700- 2 1.10000+ 1 1.90000+ 1 1.66999- 4 2.83779- 2 1.10000+ 1 2.10000+ 1 1.81741- 5 2.84402- 2 1.10000+ 1 2.20000+ 1 1.66083- 5 2.84413- 2 1.10000+ 1 2.70000+ 1 1.00268- 5 2.84603- 2 1.10000+ 1 2.90000+ 1 4.38691- 6 2.84674- 2 1.10000+ 1 3.00000+ 1 4.70025- 6 2.84679- 2 1.30000+ 1 1.40000+ 1 1.40271- 5 2.81858- 2 1.30000+ 1 1.60000+ 1 4.87885- 6 2.85376- 2 1.30000+ 1 1.80000+ 1 4.87885- 6 2.85768- 2 1.30000+ 1 1.90000+ 1 2.07353- 5 2.85846- 2 1.30000+ 1 2.20000+ 1 2.13441- 6 2.86480- 2 1.30000+ 1 2.70000+ 1 6.09856- 7 2.86670- 2 1.30000+ 1 3.00000+ 1 6.09856- 7 2.86747- 2 1.40000+ 1 1.40000+ 1 3.48310- 6 2.81948- 2 1.40000+ 1 1.60000+ 1 5.38282- 6 2.85466- 2 1.40000+ 1 1.80000+ 1 1.70979- 5 2.85857- 2 1.40000+ 1 1.90000+ 1 1.93152- 5 2.85936- 2 1.40000+ 1 2.10000+ 1 2.21636- 6 2.86559- 2 1.40000+ 1 2.20000+ 1 9.49919- 7 2.86570- 2 1.40000+ 1 2.70000+ 1 6.33273- 7 2.86760- 2 1.40000+ 1 2.90000+ 1 6.33273- 7 2.86831- 2 1.40000+ 1 3.00000+ 1 6.33273- 7 2.86836- 2 1.60000+ 1 1.60000+ 1 1.32276- 5 2.88984- 2 1.60000+ 1 1.80000+ 1 1.25826- 5 2.89375- 2 1.60000+ 1 1.90000+ 1 1.61310- 5 2.89454- 2 1.60000+ 1 2.10000+ 1 6.45282- 7 2.90077- 2 1.60000+ 1 2.20000+ 1 9.67931- 7 2.90088- 2 1.60000+ 1 2.70000+ 1 3.22650- 6 2.90278- 2 1.60000+ 1 2.90000+ 1 3.22650- 7 2.90349- 2 1.60000+ 1 3.00000+ 1 3.22650- 7 2.90354- 2 1.80000+ 1 1.80000+ 1 1.50284- 6 2.89767- 2 1.80000+ 1 1.90000+ 1 2.70528- 5 2.89846- 2 1.80000+ 1 2.10000+ 1 6.01174- 7 2.90469- 2 1.80000+ 1 2.20000+ 1 2.40470- 6 2.90480- 2 1.80000+ 1 2.70000+ 1 1.50284- 6 2.90670- 2 1.80000+ 1 3.00000+ 1 9.01769- 7 2.90746- 2 1.90000+ 1 1.90000+ 1 1.54482- 5 2.89924- 2 1.90000+ 1 2.10000+ 1 3.21843- 6 2.90547- 2 1.90000+ 1 2.20000+ 1 2.89651- 6 2.90558- 2 1.90000+ 1 2.70000+ 1 1.93091- 6 2.90748- 2 1.90000+ 1 2.90000+ 1 9.65511- 7 2.90819- 2 1.90000+ 1 3.00000+ 1 9.65511- 7 2.90824- 2 2.10000+ 1 2.20000+ 1 4.72032- 7 2.91181- 2 2.70000+ 1 2.70000+ 1 3.13361- 7 2.91572- 2 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.02552- 5 2.79500- 4 6.00000+ 0 2.70912- 4 5.13500- 4 1.00000+ 1 1.09711- 2 3.68694- 3 1.10000+ 1 1.78552- 2 3.72998- 3 1.30000+ 1 1.38641- 4 3.93673- 3 1.40000+ 1 2.06912- 4 3.94568- 3 1.80000+ 1 2.14322- 3 4.33666- 3 1.90000+ 1 3.54693- 3 4.34450- 3 2.10000+ 1 1.39921- 5 4.40681- 3 2.20000+ 1 2.10792- 5 4.40791- 3 2.90000+ 1 4.90124- 5 4.43402- 3 3.00000+ 1 7.62786- 5 4.43453- 3 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.83520- 2 1.36690- 4 5.00000+ 0 1.80000+ 1 4.10540- 2 1.75860- 4 5.00000+ 0 1.90000+ 1 5.38980- 2 1.83700- 4 5.00000+ 0 2.10000+ 1 1.23240- 2 2.46010- 4 5.00000+ 0 2.20000+ 1 2.01090- 2 2.47110- 4 5.00000+ 0 2.70000+ 1 6.83859- 3 2.66110- 4 5.00000+ 0 2.90000+ 1 1.12440- 3 2.73220- 4 5.00000+ 0 3.00000+ 1 1.44180- 3 2.73730- 4 6.00000+ 0 1.60000+ 1 8.00973- 2 3.70690- 4 6.00000+ 0 1.80000+ 1 3.52981- 2 4.09860- 4 6.00000+ 0 1.90000+ 1 6.78992- 2 4.17700- 4 6.00000+ 0 2.10000+ 1 5.42662- 2 4.80010- 4 6.00000+ 0 2.20000+ 1 7.02152- 2 4.81110- 4 6.00000+ 0 2.70000+ 1 9.42833- 3 5.00110- 4 6.00000+ 0 2.90000+ 1 9.86493- 4 5.07220- 4 6.00000+ 0 3.00000+ 1 1.87191- 3 5.07730- 4 8.00000+ 0 8.00000+ 0 1.42199- 2 2.70220- 3 8.00000+ 0 1.00000+ 1 2.81618- 2 2.81789- 3 8.00000+ 0 1.10000+ 1 5.26386- 2 2.86093- 3 8.00000+ 0 1.30000+ 1 4.20607- 2 3.06768- 3 8.00000+ 0 1.40000+ 1 5.99385- 2 3.07663- 3 8.00000+ 0 1.60000+ 1 4.96466- 3 3.42844- 3 8.00000+ 0 1.80000+ 1 5.19726- 3 3.46761- 3 8.00000+ 0 1.90000+ 1 9.61223- 3 3.47545- 3 8.00000+ 0 2.10000+ 1 5.49486- 3 3.53776- 3 8.00000+ 0 2.20000+ 1 7.76444- 3 3.53886- 3 8.00000+ 0 2.70000+ 1 5.88816- 4 3.55786- 3 8.00000+ 0 2.90000+ 1 1.49679- 4 3.56497- 3 8.00000+ 0 3.00000+ 1 2.70508- 4 3.56548- 3 1.00000+ 1 1.00000+ 1 1.74931- 4 2.93358- 3 1.00000+ 1 1.10000+ 1 1.16230- 3 2.97662- 3 1.00000+ 1 1.30000+ 1 1.11720- 3 3.18337- 3 1.00000+ 1 1.40000+ 1 1.52840- 2 3.19232- 3 1.00000+ 1 1.60000+ 1 3.97911- 3 3.54413- 3 1.00000+ 1 1.80000+ 1 3.51661- 5 3.58330- 3 1.00000+ 1 1.90000+ 1 2.01981- 4 3.59114- 3 1.00000+ 1 2.10000+ 1 1.48780- 4 3.65345- 3 1.00000+ 1 2.20000+ 1 1.34980- 3 3.65455- 3 1.00000+ 1 2.70000+ 1 4.53561- 4 3.67355- 3 1.00000+ 1 2.90000+ 1 9.01703- 7 3.68066- 3 1.00000+ 1 3.00000+ 1 5.41012- 6 3.68117- 3 1.10000+ 1 1.10000+ 1 1.22530- 3 3.01966- 3 1.10000+ 1 1.30000+ 1 1.14580- 2 3.22641- 3 1.10000+ 1 1.40000+ 1 7.87350- 3 3.23536- 3 1.10000+ 1 1.60000+ 1 7.43910- 3 3.58717- 3 1.10000+ 1 1.80000+ 1 2.01980- 4 3.62634- 3 1.10000+ 1 1.90000+ 1 3.47150- 4 3.63418- 3 1.10000+ 1 2.10000+ 1 9.08000- 4 3.69649- 3 1.10000+ 1 2.20000+ 1 6.48300- 4 3.69759- 3 1.10000+ 1 2.70000+ 1 8.48490- 4 3.71659- 3 1.10000+ 1 2.90000+ 1 5.41010- 6 3.72370- 3 1.10000+ 1 3.00000+ 1 9.01700- 6 3.72421- 3 1.30000+ 1 1.30000+ 1 2.32357- 3 3.43316- 3 1.30000+ 1 1.40000+ 1 8.60538- 2 3.44211- 3 1.30000+ 1 1.60000+ 1 5.66082- 3 3.79392- 3 1.30000+ 1 1.80000+ 1 2.68696- 4 3.83309- 3 1.30000+ 1 1.90000+ 1 2.09277- 3 3.84093- 3 1.30000+ 1 2.10000+ 1 6.02332- 4 3.90324- 3 1.30000+ 1 2.20000+ 1 8.37108- 3 3.90434- 3 1.30000+ 1 2.70000+ 1 6.41101- 4 3.92334- 3 1.30000+ 1 2.90000+ 1 8.11519- 6 3.93045- 3 1.30000+ 1 3.00000+ 1 5.86102- 5 3.93096- 3 1.40000+ 1 1.40000+ 1 2.42588- 2 3.45106- 3 1.40000+ 1 1.60000+ 1 8.10565- 3 3.80287- 3 1.40000+ 1 1.80000+ 1 2.58878- 3 3.84204- 3 1.40000+ 1 1.90000+ 1 1.50765- 3 3.84988- 3 1.40000+ 1 2.10000+ 1 8.33566- 3 3.91219- 3 1.40000+ 1 2.20000+ 1 4.91885- 3 3.91329- 3 1.40000+ 1 2.70000+ 1 9.19759- 4 3.93229- 3 1.40000+ 1 2.90000+ 1 7.39423- 5 3.93940- 3 1.40000+ 1 3.00000+ 1 4.23813- 5 3.93991- 3 1.60000+ 1 1.60000+ 1 4.12989- 4 4.15468- 3 1.60000+ 1 1.80000+ 1 7.35789- 4 4.19385- 3 1.60000+ 1 1.90000+ 1 1.36160- 3 4.20169- 3 1.60000+ 1 2.10000+ 1 7.37569- 4 4.26400- 3 1.60000+ 1 2.20000+ 1 1.04500- 3 4.26510- 3 1.60000+ 1 2.70000+ 1 9.73849- 5 4.28410- 3 1.60000+ 1 2.90000+ 1 2.07390- 5 4.29121- 3 1.60000+ 1 3.00000+ 1 3.78699- 5 4.29172- 3 1.80000+ 1 1.80000+ 1 1.80343- 6 4.23302- 3 1.80000+ 1 1.90000+ 1 3.51667- 5 4.24086- 3 1.80000+ 1 2.10000+ 1 3.06586- 5 4.30317- 3 1.80000+ 1 2.20000+ 1 2.35354- 4 4.30427- 3 1.80000+ 1 2.70000+ 1 8.38586- 5 4.32327- 3 1.80000+ 1 3.00000+ 1 9.01717- 7 4.33089- 3 1.90000+ 1 1.90000+ 1 2.52481- 5 4.24870- 3 1.90000+ 1 2.10000+ 1 1.74030- 4 4.31101- 3 1.90000+ 1 2.20000+ 1 1.28940- 4 4.31211- 3 1.90000+ 1 2.70000+ 1 1.55090- 4 4.33111- 3 1.90000+ 1 2.90000+ 1 9.01702- 7 4.33822- 3 1.90000+ 1 3.00000+ 1 1.80340- 6 4.33873- 3 2.10000+ 1 2.10000+ 1 3.69689- 5 4.37332- 3 2.10000+ 1 2.20000+ 1 8.59350- 4 4.37442- 3 2.10000+ 1 2.70000+ 1 8.38590- 5 4.39342- 3 2.10000+ 1 2.90000+ 1 9.01721- 7 4.40053- 3 2.10000+ 1 3.00000+ 1 4.50851- 6 4.40104- 3 2.20000+ 1 2.20000+ 1 2.61493- 4 4.37552- 3 2.20000+ 1 2.70000+ 1 1.18131- 4 4.39452- 3 2.20000+ 1 2.90000+ 1 6.31178- 6 4.40163- 3 2.20000+ 1 3.00000+ 1 3.60675- 6 4.40214- 3 2.70000+ 1 2.70000+ 1 5.41032- 6 4.41352- 3 2.70000+ 1 2.90000+ 1 2.70521- 6 4.42063- 3 2.70000+ 1 3.00000+ 1 4.50858- 6 4.42114- 3 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.94830- 8 2.34000- 4 8.00000+ 0 3.67630- 3 3.29175- 3 1.10000+ 1 4.74740- 5 3.45048- 3 1.30000+ 1 5.73491- 2 3.65723- 3 1.60000+ 1 4.45350- 4 4.01799- 3 1.90000+ 1 4.17020- 6 4.06500- 3 2.10000+ 1 6.92291- 3 4.12731- 3 2.70000+ 1 3.80590- 5 4.14741- 3 3.00000+ 1 8.97371- 8 4.15503- 3 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.27083- 2 9.11900- 5 6.00000+ 0 1.80000+ 1 5.11173- 2 1.30360- 4 6.00000+ 0 1.90000+ 1 1.82256- 2 1.38200- 4 6.00000+ 0 2.10000+ 1 6.12161- 2 2.00510- 4 6.00000+ 0 2.20000+ 1 2.29250- 2 2.01610- 4 6.00000+ 0 2.70000+ 1 1.38132- 3 2.20610- 4 6.00000+ 0 2.90000+ 1 1.41051- 3 2.27720- 4 6.00000+ 0 3.00000+ 1 5.05994- 4 2.28230- 4 8.00000+ 0 8.00000+ 0 1.12159- 3 2.42270- 3 8.00000+ 0 1.00000+ 1 2.62986- 2 2.53839- 3 8.00000+ 0 1.10000+ 1 2.55307- 3 2.58143- 3 8.00000+ 0 1.30000+ 1 1.80393- 3 2.78818- 3 8.00000+ 0 1.40000+ 1 3.78205- 3 2.79713- 3 8.00000+ 0 1.60000+ 1 3.66216- 4 3.14894- 3 8.00000+ 0 1.80000+ 1 3.39088- 3 3.18811- 3 8.00000+ 0 1.90000+ 1 4.15251- 4 3.19595- 3 8.00000+ 0 2.10000+ 1 1.74234- 4 3.25826- 3 8.00000+ 0 2.20000+ 1 3.16130- 4 3.25936- 3 8.00000+ 0 2.70000+ 1 4.27750- 5 3.27836- 3 8.00000+ 0 2.90000+ 1 9.28582- 5 3.28547- 3 8.00000+ 0 3.00000+ 1 1.14769- 5 3.28598- 3 1.00000+ 1 1.00000+ 1 2.56982- 2 2.65408- 3 1.00000+ 1 1.10000+ 1 8.17441- 2 2.69712- 3 1.00000+ 1 1.30000+ 1 4.41718- 2 2.90387- 3 1.00000+ 1 1.40000+ 1 7.64574- 2 2.91282- 3 1.00000+ 1 1.60000+ 1 5.46400- 3 3.26463- 3 1.00000+ 1 1.80000+ 1 8.17871- 3 3.30380- 3 1.00000+ 1 1.90000+ 1 1.46599- 2 3.31164- 3 1.00000+ 1 2.10000+ 1 5.74768- 3 3.37395- 3 1.00000+ 1 2.20000+ 1 9.91433- 3 3.37505- 3 1.00000+ 1 2.70000+ 1 6.62542- 4 3.39405- 3 1.00000+ 1 2.90000+ 1 2.30583- 4 3.40116- 3 1.00000+ 1 3.00000+ 1 4.11080- 4 3.40167- 3 1.10000+ 1 1.10000+ 1 2.16701- 3 2.74016- 3 1.10000+ 1 1.30000+ 1 5.36843- 2 2.94691- 3 1.10000+ 1 1.40000+ 1 7.23227- 3 2.95586- 3 1.10000+ 1 1.60000+ 1 4.56970- 4 3.30767- 3 1.10000+ 1 1.80000+ 1 1.09190- 2 3.34684- 3 1.10000+ 1 1.90000+ 1 6.58353- 4 3.35468- 3 1.10000+ 1 2.10000+ 1 6.07007- 3 3.41699- 3 1.10000+ 1 2.20000+ 1 7.61643- 4 3.41809- 3 1.10000+ 1 2.70000+ 1 5.42552- 5 3.43709- 3 1.10000+ 1 2.90000+ 1 3.00483- 4 3.44420- 3 1.10000+ 1 3.00000+ 1 1.77364- 5 3.44471- 3 1.30000+ 1 1.30000+ 1 4.87959- 2 3.15366- 3 1.30000+ 1 1.40000+ 1 2.10732- 1 3.16261- 3 1.30000+ 1 1.60000+ 1 3.80817- 4 3.51442- 3 1.30000+ 1 1.80000+ 1 5.91980- 3 3.55359- 3 1.30000+ 1 1.90000+ 1 9.13752- 3 3.56143- 3 1.30000+ 1 2.10000+ 1 1.10010- 2 3.62374- 3 1.30000+ 1 2.20000+ 1 2.52089- 2 3.62484- 3 1.30000+ 1 2.70000+ 1 4.59081- 5 3.64384- 3 1.30000+ 1 2.90000+ 1 1.63806- 4 3.65095- 3 1.30000+ 1 3.00000+ 1 2.54569- 4 3.65146- 3 1.40000+ 1 1.40000+ 1 1.00230- 2 3.17156- 3 1.40000+ 1 1.60000+ 1 6.65630- 4 3.52337- 3 1.40000+ 1 1.80000+ 1 9.17927- 3 3.56254- 3 1.40000+ 1 1.90000+ 1 1.12789- 3 3.57038- 3 1.40000+ 1 2.10000+ 1 2.04462- 2 3.63269- 3 1.40000+ 1 2.20000+ 1 2.19520- 3 3.63379- 3 1.40000+ 1 2.70000+ 1 7.82499- 5 3.65279- 3 1.40000+ 1 2.90000+ 1 2.48308- 4 3.65990- 3 1.40000+ 1 3.00000+ 1 3.13001- 5 3.66041- 3 1.60000+ 1 1.60000+ 1 3.51015- 5 3.87518- 3 1.60000+ 1 1.80000+ 1 8.49964- 4 3.91435- 3 1.60000+ 1 1.90000+ 1 9.02623- 5 3.92219- 3 1.60000+ 1 2.10000+ 1 4.26225- 5 3.98450- 3 1.60000+ 1 2.20000+ 1 6.89499- 5 3.98560- 3 1.60000+ 1 2.70000+ 1 8.77525- 6 4.00460- 3 1.60000+ 1 2.90000+ 1 2.38187- 5 4.01171- 3 1.60000+ 1 3.00000+ 1 2.50730- 6 4.01222- 3 1.80000+ 1 1.80000+ 1 6.10792- 4 3.95352- 3 1.80000+ 1 1.90000+ 1 1.91285- 3 3.96136- 3 1.80000+ 1 2.10000+ 1 7.41099- 4 4.02367- 3 1.80000+ 1 2.20000+ 1 1.16862- 3 4.02477- 3 1.80000+ 1 2.70000+ 1 8.34780- 5 4.04377- 3 1.80000+ 1 2.90000+ 1 3.46119- 5 4.05088- 3 1.80000+ 1 3.00000+ 1 5.39560- 5 4.05139- 3 1.90000+ 1 1.90000+ 1 4.97417- 5 3.96920- 3 1.90000+ 1 2.10000+ 1 1.03418- 3 4.03151- 3 1.90000+ 1 2.20000+ 1 1.21255- 4 4.03261- 3 1.90000+ 1 2.70000+ 1 9.32651- 6 4.05161- 3 1.90000+ 1 2.90000+ 1 5.38892- 5 4.05872- 3 1.90000+ 1 3.00000+ 1 3.10891- 6 4.05923- 3 2.10000+ 1 2.10000+ 1 6.14515- 4 4.09382- 3 2.10000+ 1 2.20000+ 1 2.51234- 3 4.09492- 3 2.10000+ 1 2.70000+ 1 4.17316- 6 4.11392- 3 2.10000+ 1 2.90000+ 1 2.08668- 5 4.12103- 3 2.10000+ 1 3.00000+ 1 2.92129- 5 4.12154- 3 2.20000+ 1 2.20000+ 1 1.31249- 4 4.09602- 3 2.20000+ 1 2.70000+ 1 6.78903- 6 4.11502- 3 2.20000+ 1 2.90000+ 1 3.50772- 5 4.12213- 3 2.20000+ 1 3.00000+ 1 3.39462- 6 4.12264- 3 2.70000+ 1 2.90000+ 1 2.08670- 6 4.14113- 3 2.90000+ 1 3.00000+ 1 1.04330- 6 4.14875- 3 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 6.42092- 3 3.05775- 3 1.00000+ 1 3.27131- 5 3.17344- 3 1.10000+ 1 3.06441- 5 3.21648- 3 1.30000+ 1 5.76902- 3 3.42323- 3 1.40000+ 1 5.11512- 2 3.43218- 3 1.60000+ 1 4.77372- 4 3.78399- 3 1.80000+ 1 2.10011- 6 3.82316- 3 1.90000+ 1 2.00481- 6 3.83100- 3 2.10000+ 1 6.82392- 4 3.89331- 3 2.20000+ 1 6.05732- 3 3.89441- 3 2.70000+ 1 4.84992- 5 3.91341- 3 2.90000+ 1 4.78822- 8 3.92052- 3 3.00000+ 1 4.30161- 8 3.92103- 3 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.44845- 3 2.18870- 3 8.00000+ 0 1.00000+ 1 1.06172- 3 2.30439- 3 8.00000+ 0 1.10000+ 1 3.05038- 2 2.34743- 3 8.00000+ 0 1.30000+ 1 3.00469- 3 2.55418- 3 8.00000+ 0 1.40000+ 1 3.18725- 3 2.56313- 3 8.00000+ 0 1.60000+ 1 4.74119- 4 2.91494- 3 8.00000+ 0 1.80000+ 1 1.65612- 4 2.95411- 3 8.00000+ 0 1.90000+ 1 3.92003- 3 2.96195- 3 8.00000+ 0 2.10000+ 1 2.24582- 4 3.02426- 3 8.00000+ 0 2.20000+ 1 2.22312- 4 3.02536- 3 8.00000+ 0 2.70000+ 1 5.55775- 5 3.04436- 3 8.00000+ 0 2.90000+ 1 4.53692- 6 3.05147- 3 8.00000+ 0 3.00000+ 1 1.05492- 4 3.05198- 3 1.00000+ 1 1.00000+ 1 3.62969- 4 2.42008- 3 1.00000+ 1 1.10000+ 1 5.06425- 2 2.46312- 3 1.00000+ 1 1.30000+ 1 3.48551- 3 2.66987- 3 1.00000+ 1 1.40000+ 1 3.11278- 2 2.67882- 3 1.00000+ 1 1.60000+ 1 1.87159- 4 3.03063- 3 1.00000+ 1 1.80000+ 1 1.12291- 4 3.06980- 3 1.00000+ 1 1.90000+ 1 6.73617- 3 3.07764- 3 1.00000+ 1 2.10000+ 1 4.25348- 4 3.13995- 3 1.00000+ 1 2.20000+ 1 3.33704- 3 3.14105- 3 1.00000+ 1 2.70000+ 1 2.26852- 5 3.16005- 3 1.00000+ 1 2.90000+ 1 3.40273- 6 3.16716- 3 1.00000+ 1 3.00000+ 1 1.81479- 4 3.16767- 3 1.10000+ 1 1.10000+ 1 7.17968- 2 2.50616- 3 1.10000+ 1 1.30000+ 1 7.25677- 2 2.71291- 3 1.10000+ 1 1.40000+ 1 1.10410- 1 2.72186- 3 1.10000+ 1 1.60000+ 1 6.27926- 3 3.07367- 3 1.10000+ 1 1.80000+ 1 9.00835- 3 3.11284- 3 1.10000+ 1 1.90000+ 1 2.24169- 2 3.12068- 3 1.10000+ 1 2.10000+ 1 9.14083- 3 3.18299- 3 1.10000+ 1 2.20000+ 1 1.36945- 2 3.18409- 3 1.10000+ 1 2.70000+ 1 7.61061- 4 3.20309- 3 1.10000+ 1 2.90000+ 1 2.57473- 4 3.21020- 3 1.10000+ 1 3.00000+ 1 6.18178- 4 3.21071- 3 1.30000+ 1 1.30000+ 1 1.05382- 2 2.91966- 3 1.30000+ 1 1.40000+ 1 2.02895- 1 2.92861- 3 1.30000+ 1 1.60000+ 1 5.73952- 4 3.28042- 3 1.30000+ 1 1.80000+ 1 6.15885- 4 3.31959- 3 1.30000+ 1 1.90000+ 1 9.06045- 3 3.32743- 3 1.30000+ 1 2.10000+ 1 2.38429- 3 3.38974- 3 1.30000+ 1 2.20000+ 1 1.99236- 2 3.39084- 3 1.30000+ 1 2.70000+ 1 6.91922- 5 3.40984- 3 1.30000+ 1 2.90000+ 1 1.81479- 5 3.41695- 3 1.30000+ 1 3.00000+ 1 2.41599- 4 3.41746- 3 1.40000+ 1 1.40000+ 1 1.37946- 1 2.93756- 3 1.40000+ 1 1.60000+ 1 6.47647- 4 3.28937- 3 1.40000+ 1 1.80000+ 1 5.18590- 3 3.32854- 3 1.40000+ 1 1.90000+ 1 1.53213- 2 3.33638- 3 1.40000+ 1 2.10000+ 1 2.32100- 2 3.39869- 3 1.40000+ 1 2.20000+ 1 2.98978- 2 3.39979- 3 1.40000+ 1 2.70000+ 1 7.82623- 5 3.41879- 3 1.40000+ 1 2.90000+ 1 1.47454- 4 3.42590- 3 1.40000+ 1 3.00000+ 1 4.16268- 4 3.42641- 3 1.60000+ 1 1.60000+ 1 4.72189- 5 3.64118- 3 1.60000+ 1 1.80000+ 1 3.61092- 5 3.68035- 3 1.60000+ 1 1.90000+ 1 9.90212- 4 3.68819- 3 1.60000+ 1 2.10000+ 1 5.55509- 5 3.75050- 3 1.60000+ 1 2.20000+ 1 5.83274- 5 3.75160- 3 1.60000+ 1 2.70000+ 1 1.11107- 5 3.77060- 3 1.60000+ 1 2.90000+ 1 1.38874- 6 3.77771- 3 1.60000+ 1 3.00000+ 1 2.63866- 5 3.77822- 3 1.80000+ 1 1.80000+ 1 7.76619- 6 3.71952- 3 1.80000+ 1 1.90000+ 1 1.17046- 3 3.72736- 3 1.80000+ 1 2.10000+ 1 7.21167- 5 3.78967- 3 1.80000+ 1 2.20000+ 1 5.56974- 4 3.79077- 3 1.80000+ 1 2.70000+ 1 3.32838- 6 3.80977- 3 1.80000+ 1 3.00000+ 1 3.10658- 5 3.81739- 3 1.90000+ 1 1.90000+ 1 1.65779- 3 3.73520- 3 1.90000+ 1 2.10000+ 1 1.11622- 3 3.79751- 3 1.90000+ 1 2.20000+ 1 1.83604- 3 3.79861- 3 1.90000+ 1 2.70000+ 1 9.52348- 5 3.81761- 3 1.90000+ 1 2.90000+ 1 3.32212- 5 3.82472- 3 1.90000+ 1 3.00000+ 1 9.08070- 5 3.82523- 3 2.10000+ 1 2.10000+ 1 1.31571- 4 3.85982- 3 2.10000+ 1 2.20000+ 1 2.33557- 3 3.86092- 3 2.10000+ 1 2.70000+ 1 5.67130- 6 3.87992- 3 2.10000+ 1 2.90000+ 1 2.26858- 6 3.88703- 3 2.10000+ 1 3.00000+ 1 3.06257- 5 3.88754- 3 2.20000+ 1 2.20000+ 1 1.71774- 3 3.86202- 3 2.20000+ 1 2.70000+ 1 5.98918- 6 3.88102- 3 2.20000+ 1 2.90000+ 1 1.67698- 5 3.88813- 3 2.20000+ 1 3.00000+ 1 5.39049- 5 3.88864- 3 2.70000+ 1 3.00000+ 1 2.26851- 6 3.90764- 3 3.00000+ 1 3.00000+ 1 1.13420- 6 3.91526- 3 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.16905- 5 1.15690- 4 1.10000+ 1 6.27128- 5 1.58730- 4 1.80000+ 1 1.48722- 4 7.65410- 4 1.90000+ 1 2.10154- 4 7.73250- 4 2.90000+ 1 3.70385- 6 8.62770- 4 3.00000+ 1 5.01278- 6 8.63280- 4 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.80000+ 1 4.86190- 2 1.20500- 5 1.00000+ 1 1.90000+ 1 9.13095- 2 1.98900- 5 1.00000+ 1 2.10000+ 1 6.13161- 2 8.22000- 5 1.00000+ 1 2.20000+ 1 8.30191- 2 8.33000- 5 1.00000+ 1 2.70000+ 1 5.14062- 3 1.02300- 4 1.00000+ 1 2.90000+ 1 9.50090- 4 1.09410- 4 1.00000+ 1 3.00000+ 1 1.62900- 3 1.09920- 4 1.10000+ 1 1.60000+ 1 7.56386- 2 1.59200- 5 1.10000+ 1 1.80000+ 1 8.20918- 2 5.50900- 5 1.10000+ 1 1.90000+ 1 1.28365- 1 6.29300- 5 1.10000+ 1 2.10000+ 1 5.21376- 2 1.25240- 4 1.10000+ 1 2.20000+ 1 7.66770- 2 1.26340- 4 1.10000+ 1 2.70000+ 1 7.57441- 3 1.45340- 4 1.10000+ 1 2.90000+ 1 1.49152- 3 1.52450- 4 1.10000+ 1 3.00000+ 1 2.26481- 3 1.52960- 4 1.30000+ 1 1.60000+ 1 2.95988- 2 2.22670- 4 1.30000+ 1 1.80000+ 1 5.95534- 3 2.61840- 4 1.30000+ 1 1.90000+ 1 4.54959- 3 2.69680- 4 1.30000+ 1 2.10000+ 1 6.24623- 3 3.31990- 4 1.30000+ 1 2.20000+ 1 7.44815- 3 3.33090- 4 1.30000+ 1 2.70000+ 1 2.21050- 3 3.52090- 4 1.30000+ 1 2.90000+ 1 9.86479- 5 3.59200- 4 1.30000+ 1 3.00000+ 1 6.94883- 5 3.59710- 4 1.40000+ 1 1.60000+ 1 4.34308- 2 2.31620- 4 1.40000+ 1 1.80000+ 1 1.59529- 3 2.70790- 4 1.40000+ 1 1.90000+ 1 1.17593- 2 2.78630- 4 1.40000+ 1 2.10000+ 1 7.85453- 3 3.40940- 4 1.40000+ 1 2.20000+ 1 1.25642- 2 3.42040- 4 1.40000+ 1 2.70000+ 1 3.23460- 3 3.61040- 4 1.40000+ 1 2.90000+ 1 2.44671- 5 3.68150- 4 1.40000+ 1 3.00000+ 1 1.82033- 4 3.68660- 4 1.60000+ 1 1.60000+ 1 1.04626- 2 5.83430- 4 1.60000+ 1 1.80000+ 1 1.62981- 2 6.22600- 4 1.60000+ 1 1.90000+ 1 3.01252- 2 6.30440- 4 1.60000+ 1 2.10000+ 1 2.57342- 2 6.92750- 4 1.60000+ 1 2.20000+ 1 3.74092- 2 6.93850- 4 1.60000+ 1 2.70000+ 1 1.82982- 3 7.12850- 4 1.60000+ 1 2.90000+ 1 3.20335- 4 7.19960- 4 1.60000+ 1 3.00000+ 1 5.57686- 4 7.20470- 4 1.80000+ 1 1.80000+ 1 9.71036- 4 6.61770- 4 1.80000+ 1 1.90000+ 1 2.33896- 3 6.69610- 4 1.80000+ 1 2.10000+ 1 1.24154- 3 7.31920- 4 1.80000+ 1 2.20000+ 1 3.89835- 4 7.33020- 4 1.80000+ 1 2.70000+ 1 1.20967- 3 7.52020- 4 1.80000+ 1 2.90000+ 1 3.30769- 5 7.59130- 4 1.80000+ 1 3.00000+ 1 3.54398- 5 7.59640- 4 1.90000+ 1 1.90000+ 1 2.97432- 3 6.77450- 4 1.90000+ 1 2.10000+ 1 1.00567- 3 7.39760- 4 1.90000+ 1 2.20000+ 1 2.96872- 3 7.40860- 4 1.90000+ 1 2.70000+ 1 2.13622- 3 7.59860- 4 1.90000+ 1 2.90000+ 1 3.82475- 5 7.66970- 4 1.90000+ 1 3.00000+ 1 9.56199- 5 7.67480- 4 2.10000+ 1 2.10000+ 1 3.00331- 4 8.02070- 4 2.10000+ 1 2.20000+ 1 8.44683- 4 8.03170- 4 2.10000+ 1 2.70000+ 1 1.76330- 3 8.22170- 4 2.10000+ 1 2.90000+ 1 1.87707- 5 8.29280- 4 2.10000+ 1 3.00000+ 1 1.43538- 5 8.29790- 4 2.20000+ 1 2.20000+ 1 6.48155- 4 8.04270- 4 2.20000+ 1 2.70000+ 1 2.56269- 3 8.23270- 4 2.20000+ 1 2.90000+ 1 5.52050- 6 8.30380- 4 2.20000+ 1 3.00000+ 1 4.41640- 5 8.30890- 4 2.70000+ 1 2.70000+ 1 7.28700- 5 8.42270- 4 2.70000+ 1 2.90000+ 1 2.20821- 5 8.49380- 4 2.70000+ 1 3.00000+ 1 3.86449- 5 8.49890- 4 2.90000+ 1 3.00000+ 1 1.10408- 6 8.57000- 4 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.24515- 4 2.49790- 4 1.60000+ 1 2.43739- 4 6.10550- 4 2.10000+ 1 6.94411- 4 7.19870- 4 2.70000+ 1 2.77859- 5 7.39970- 4 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.86054- 2 9.55000- 6 1.10000+ 1 2.20000+ 1 4.60845- 2 1.06500- 5 1.10000+ 1 2.70000+ 1 6.62273- 3 2.96500- 5 1.10000+ 1 2.90000+ 1 1.27371- 3 3.67600- 5 1.10000+ 1 3.00000+ 1 1.42508- 3 3.72700- 5 1.30000+ 1 1.60000+ 1 1.36376- 1 1.06980- 4 1.30000+ 1 1.80000+ 1 1.38431- 1 1.46150- 4 1.30000+ 1 1.90000+ 1 2.07705- 1 1.53990- 4 1.30000+ 1 2.10000+ 1 4.81460- 2 2.16300- 4 1.30000+ 1 2.20000+ 1 4.86115- 2 2.17400- 4 1.30000+ 1 2.70000+ 1 1.41746- 2 2.36400- 4 1.30000+ 1 2.90000+ 1 2.42189- 3 2.43510- 4 1.30000+ 1 3.00000+ 1 3.69940- 3 2.44020- 4 1.40000+ 1 1.60000+ 1 2.34475- 2 1.15930- 4 1.40000+ 1 1.80000+ 1 1.73738- 1 1.55100- 4 1.40000+ 1 1.90000+ 1 1.83723- 2 1.62940- 4 1.40000+ 1 2.10000+ 1 4.29404- 3 2.25250- 4 1.40000+ 1 2.20000+ 1 6.50409- 3 2.26350- 4 1.40000+ 1 2.70000+ 1 1.70412- 3 2.45350- 4 1.40000+ 1 2.90000+ 1 2.64511- 3 2.52460- 4 1.40000+ 1 3.00000+ 1 3.03372- 4 2.52970- 4 1.60000+ 1 1.60000+ 1 7.11816- 4 4.67740- 4 1.60000+ 1 1.80000+ 1 1.02782- 2 5.06910- 4 1.60000+ 1 1.90000+ 1 1.67073- 3 5.14750- 4 1.60000+ 1 2.10000+ 1 3.64278- 4 5.77060- 4 1.60000+ 1 2.20000+ 1 9.38615- 4 5.78160- 4 1.60000+ 1 2.70000+ 1 1.18633- 4 5.97160- 4 1.60000+ 1 2.90000+ 1 1.50041- 4 6.04270- 4 1.60000+ 1 3.00000+ 1 2.86115- 5 6.04780- 4 1.80000+ 1 1.80000+ 1 6.87665- 3 5.46080- 4 1.80000+ 1 1.90000+ 1 2.15649- 2 5.53920- 4 1.80000+ 1 2.10000+ 1 1.60037- 2 6.16230- 4 1.80000+ 1 2.20000+ 1 2.66134- 2 6.17330- 4 1.80000+ 1 2.70000+ 1 1.02687- 3 6.36330- 4 1.80000+ 1 2.90000+ 1 2.37549- 4 6.43440- 4 1.80000+ 1 3.00000+ 1 3.96367- 4 6.43950- 4 1.90000+ 1 1.90000+ 1 6.26634- 4 5.61760- 4 1.90000+ 1 2.10000+ 1 1.87251- 3 6.24070- 4 1.90000+ 1 2.20000+ 1 1.29248- 3 6.25170- 4 1.90000+ 1 2.70000+ 1 1.34062- 4 6.44170- 4 1.90000+ 1 2.90000+ 1 3.53240- 4 6.51280- 4 1.90000+ 1 3.00000+ 1 2.03361- 5 6.51790- 4 2.10000+ 1 2.10000+ 1 5.77265- 4 6.86380- 4 2.10000+ 1 2.20000+ 1 1.28315- 3 6.87480- 4 2.10000+ 1 2.70000+ 1 3.66382- 5 7.06480- 4 2.10000+ 1 2.90000+ 1 2.57971- 4 7.13590- 4 2.10000+ 1 3.00000+ 1 2.91612- 5 7.14100- 4 2.20000+ 1 2.20000+ 1 1.99105- 4 6.88580- 4 2.20000+ 1 2.70000+ 1 4.91846- 5 7.07580- 4 2.20000+ 1 2.90000+ 1 2.73820- 4 7.14690- 4 2.20000+ 1 3.00000+ 1 1.22964- 5 7.15200- 4 2.70000+ 1 2.70000+ 1 4.48925- 6 7.26580- 4 2.70000+ 1 2.90000+ 1 1.41106- 5 7.33690- 4 2.70000+ 1 3.00000+ 1 1.92402- 6 7.34200- 4 2.90000+ 1 3.00000+ 1 5.77236- 6 7.41310- 4 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.59149- 5 2.06750- 4 1.40000+ 1 2.70259- 4 2.15700- 4 1.60000+ 1 2.98824- 4 5.67510- 4 2.10000+ 1 8.59388- 5 6.76830- 4 2.20000+ 1 7.09477- 4 6.77930- 4 2.70000+ 1 3.37980- 5 6.96930- 4 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 2.78786- 2 6.39400- 5 1.30000+ 1 1.80000+ 1 1.95508- 2 1.03110- 4 1.30000+ 1 1.90000+ 1 1.22311- 1 1.10950- 4 1.30000+ 1 2.10000+ 1 1.17453- 2 1.73260- 4 1.30000+ 1 2.20000+ 1 8.15886- 3 1.74360- 4 1.30000+ 1 2.70000+ 1 2.35650- 3 1.93360- 4 1.30000+ 1 2.90000+ 1 3.58977- 4 2.00470- 4 1.30000+ 1 3.00000+ 1 1.82980- 3 2.00980- 4 1.40000+ 1 1.60000+ 1 1.28474- 1 7.28900- 5 1.40000+ 1 1.80000+ 1 1.31043- 1 1.12060- 4 1.40000+ 1 1.90000+ 1 2.68675- 1 1.19900- 4 1.40000+ 1 2.10000+ 1 4.27775- 2 1.82210- 4 1.40000+ 1 2.20000+ 1 7.56734- 2 1.83310- 4 1.40000+ 1 2.70000+ 1 1.32445- 2 2.02310- 4 1.40000+ 1 2.90000+ 1 2.42905- 3 2.09420- 4 1.40000+ 1 3.00000+ 1 4.41809- 3 2.09930- 4 1.60000+ 1 1.60000+ 1 8.73703- 4 4.24700- 4 1.60000+ 1 1.80000+ 1 1.27474- 3 4.63870- 4 1.60000+ 1 1.90000+ 1 1.84819- 2 4.71710- 4 1.60000+ 1 2.10000+ 1 9.82751- 4 5.34020- 4 1.60000+ 1 2.20000+ 1 1.09752- 3 5.35120- 4 1.60000+ 1 2.70000+ 1 1.46562- 4 5.54120- 4 1.60000+ 1 2.90000+ 1 2.15874- 5 5.61230- 4 1.60000+ 1 3.00000+ 1 2.59052- 4 5.61740- 4 1.80000+ 1 1.80000+ 1 2.03704- 4 5.03040- 4 1.80000+ 1 1.90000+ 1 1.89003- 2 5.10880- 4 1.80000+ 1 2.10000+ 1 5.02292- 4 5.73190- 4 1.80000+ 1 2.20000+ 1 2.61073- 3 5.74290- 4 1.80000+ 1 2.70000+ 1 9.17134- 5 5.93290- 4 1.80000+ 1 2.90000+ 1 6.39847- 6 6.00400- 4 1.80000+ 1 3.00000+ 1 2.66620- 4 6.00910- 4 1.90000+ 1 1.90000+ 1 2.42025- 2 5.18720- 4 1.90000+ 1 2.10000+ 1 2.62926- 2 5.81030- 4 1.90000+ 1 2.20000+ 1 3.57836- 2 5.82130- 4 1.90000+ 1 2.70000+ 1 1.51593- 3 6.01130- 4 1.90000+ 1 2.90000+ 1 3.19341- 4 6.08240- 4 1.90000+ 1 3.00000+ 1 7.85347- 4 6.08750- 4 2.10000+ 1 2.10000+ 1 1.44768- 4 6.43340- 4 2.10000+ 1 2.20000+ 1 1.30420- 3 6.44440- 4 2.10000+ 1 2.70000+ 1 4.21386- 5 6.63440- 4 2.10000+ 1 2.90000+ 1 4.75728- 6 6.70550- 4 2.10000+ 1 3.00000+ 1 2.71844- 4 6.71060- 4 2.20000+ 1 2.20000+ 1 8.31814- 4 6.45540- 4 2.20000+ 1 2.70000+ 1 4.73332- 5 6.64540- 4 2.20000+ 1 2.90000+ 1 2.27207- 5 6.71650- 4 2.20000+ 1 3.00000+ 1 3.42066- 4 6.72160- 4 2.70000+ 1 2.70000+ 1 3.37578- 6 6.83540- 4 2.70000+ 1 2.90000+ 1 1.12526- 6 6.90650- 4 2.70000+ 1 3.00000+ 1 1.29410- 5 6.91160- 4 2.90000+ 1 3.00000+ 1 2.81325- 6 6.98270- 4 3.00000+ 1 3.00000+ 1 1.12534- 6 6.98780- 4 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 9.37775- 4 3.99930- 4 1.90000+ 1 1.54161- 4 4.07770- 4 2.90000+ 1 2.06751- 5 4.97290- 4 3.00000+ 1 3.19592- 6 4.97800- 4 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.90000+ 1 1.08601- 3 2.67000- 6 1.40000+ 1 3.00000+ 1 3.43491- 3 3.18000- 6 1.60000+ 1 1.60000+ 1 3.47264- 4 2.17950- 4 1.60000+ 1 1.80000+ 1 9.28768- 3 2.57120- 4 1.60000+ 1 1.90000+ 1 8.58683- 3 2.64960- 4 1.60000+ 1 2.10000+ 1 1.29751- 1 3.27270- 4 1.60000+ 1 2.20000+ 1 2.04313- 2 3.28370- 4 1.60000+ 1 2.70000+ 1 5.05113- 5 3.47370- 4 1.60000+ 1 2.90000+ 1 1.45219- 4 3.54480- 4 1.60000+ 1 3.00000+ 1 1.01023- 4 3.54990- 4 1.80000+ 1 1.80000+ 1 1.60367- 3 2.96290- 4 1.80000+ 1 1.90000+ 1 2.07600- 2 3.04130- 4 1.80000+ 1 2.10000+ 1 9.81926- 2 3.66440- 4 1.80000+ 1 2.20000+ 1 8.70681- 3 3.67540- 4 1.80000+ 1 2.70000+ 1 3.91459- 4 3.86540- 4 1.80000+ 1 2.90000+ 1 6.31385- 5 3.93650- 4 1.80000+ 1 3.00000+ 1 3.03057- 4 3.94160- 4 1.90000+ 1 1.90000+ 1 8.46059- 3 3.11970- 4 1.90000+ 1 2.10000+ 1 2.17727- 1 3.74280- 4 1.90000+ 1 2.20000+ 1 8.80792- 3 3.75380- 4 1.90000+ 1 2.70000+ 1 4.79861- 4 3.94380- 4 1.90000+ 1 2.90000+ 1 3.15685- 4 4.01490- 4 1.90000+ 1 3.00000+ 1 2.39931- 4 4.02000- 4 2.10000+ 1 2.10000+ 1 1.42616- 1 4.36590- 4 2.10000+ 1 2.20000+ 1 2.93077- 1 4.37690- 4 2.10000+ 1 2.70000+ 1 1.18444- 2 4.56690- 4 2.10000+ 1 2.90000+ 1 1.91321- 3 4.63800- 4 2.10000+ 1 3.00000+ 1 3.92106- 3 4.64310- 4 2.20000+ 1 2.20000+ 1 4.91234- 3 4.38790- 4 2.20000+ 1 2.70000+ 1 1.05443- 3 4.57790- 4 2.20000+ 1 2.90000+ 1 1.19963- 4 4.64900- 4 2.20000+ 1 3.00000+ 1 1.32594- 4 4.65410- 4 2.70000+ 1 2.90000+ 1 6.31403- 6 4.83900- 4 2.70000+ 1 3.00000+ 1 6.31403- 6 4.84410- 4 2.90000+ 1 3.00000+ 1 6.31413- 6 4.91520- 4 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 9.93907- 4 3.98820- 4 3.00000+ 1 2.05909- 5 4.88850- 4 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 5.74069- 4 2.09000- 4 1.60000+ 1 1.80000+ 1 5.06674- 3 2.48170- 4 1.60000+ 1 1.90000+ 1 1.44884- 2 2.56010- 4 1.60000+ 1 2.10000+ 1 1.49561- 2 3.18320- 4 1.60000+ 1 2.20000+ 1 1.36880- 1 3.19420- 4 1.60000+ 1 2.70000+ 1 7.48767- 5 3.38420- 4 1.60000+ 1 2.90000+ 1 4.99189- 5 3.45530- 4 1.60000+ 1 3.00000+ 1 1.99678- 4 3.46040- 4 1.80000+ 1 1.80000+ 1 6.23959- 6 2.87340- 4 1.80000+ 1 1.90000+ 1 2.07084- 2 2.95180- 4 1.80000+ 1 2.10000+ 1 1.77825- 3 3.57490- 4 1.80000+ 1 2.20000+ 1 1.20555- 1 3.58590- 4 1.80000+ 1 2.70000+ 1 2.62055- 4 3.77590- 4 1.80000+ 1 3.00000+ 1 2.99488- 4 3.85210- 4 1.90000+ 1 1.90000+ 1 1.44694- 2 3.03020- 4 1.90000+ 1 2.10000+ 1 1.11435- 2 3.65330- 4 1.90000+ 1 2.20000+ 1 1.99687- 1 3.66430- 4 1.90000+ 1 2.70000+ 1 6.98848- 4 3.85430- 4 1.90000+ 1 2.90000+ 1 2.99500- 4 3.92540- 4 1.90000+ 1 3.00000+ 1 4.30533- 4 3.93050- 4 2.10000+ 1 2.10000+ 1 2.02159- 3 4.27640- 4 2.10000+ 1 2.20000+ 1 2.02059- 1 4.28740- 4 2.10000+ 1 2.70000+ 1 7.67449- 4 4.47740- 4 2.10000+ 1 2.90000+ 1 3.11972- 5 4.54850- 4 2.10000+ 1 3.00000+ 1 1.49746- 4 4.55360- 4 2.20000+ 1 2.20000+ 1 2.33289- 1 4.29840- 4 2.20000+ 1 2.70000+ 1 1.21297- 2 4.48840- 4 2.20000+ 1 2.90000+ 1 2.27752- 3 4.55950- 4 2.20000+ 1 3.00000+ 1 3.61271- 3 4.56460- 4 2.70000+ 1 3.00000+ 1 1.24790- 5 4.75460- 4 2.90000+ 1 3.00000+ 1 6.23968- 6 4.82570- 4 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.02960- 5 3.91700- 5 1.90000+ 1 3.13973- 5 4.70100- 5 2.90000+ 1 1.06787- 6 1.36530- 4 3.00000+ 1 9.37397- 7 1.37040- 4 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10000+ 1 1.96692- 2 5.68000- 6 1.80000+ 1 2.20000+ 1 8.16127- 2 6.78000- 6 1.80000+ 1 2.70000+ 1 1.08155- 2 2.57800- 5 1.80000+ 1 2.90000+ 1 1.49130- 3 3.28900- 5 1.80000+ 1 3.00000+ 1 3.74125- 3 3.34000- 5 1.90000+ 1 2.10000+ 1 3.52535- 1 1.35200- 5 1.90000+ 1 2.20000+ 1 3.90468- 1 1.46200- 5 1.90000+ 1 2.70000+ 1 2.03757- 2 3.36200- 5 1.90000+ 1 2.90000+ 1 4.38996- 3 4.07300- 5 1.90000+ 1 3.00000+ 1 5.91100- 3 4.12400- 5 2.10000+ 1 2.10000+ 1 2.07184- 3 7.58300- 5 2.10000+ 1 2.20000+ 1 5.26424- 2 7.69300- 5 2.10000+ 1 2.70000+ 1 1.08525- 2 9.59300- 5 2.10000+ 1 2.90000+ 1 2.46739- 4 1.03040- 4 2.10000+ 1 3.00000+ 1 2.26843- 3 1.03550- 4 2.20000+ 1 2.20000+ 1 6.55275- 3 7.80300- 5 2.20000+ 1 2.70000+ 1 6.42614- 3 9.70300- 5 2.20000+ 1 2.90000+ 1 7.57360- 4 1.04140- 4 2.20000+ 1 3.00000+ 1 6.89736- 4 1.04650- 4 2.70000+ 1 2.70000+ 1 1.33890- 2 1.16030- 4 2.70000+ 1 2.90000+ 1 3.59853- 3 1.23140- 4 2.70000+ 1 3.00000+ 1 6.29343- 3 1.23650- 4 2.90000+ 1 3.00000+ 1 2.23730- 3 1.30760- 4 3.00000+ 1 3.00000+ 1 9.20979- 4 1.31270- 4 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 4.07152- 5 7.01500- 5 2.70000+ 1 3.50671- 6 9.02500- 5 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 1.01376- 3 1.56000- 6 1.90000+ 1 3.00000+ 1 1.61365- 3 2.07000- 6 2.10000+ 1 2.10000+ 1 1.60014- 1 3.66600- 5 2.10000+ 1 2.20000+ 1 7.85201- 1 3.77600- 5 2.10000+ 1 2.70000+ 1 1.30515- 2 5.67600- 5 2.10000+ 1 2.90000+ 1 2.34881- 3 6.38700- 5 2.10000+ 1 3.00000+ 1 4.74892- 3 6.43800- 5 2.20000+ 1 2.20000+ 1 2.74221- 2 3.88600- 5 2.20000+ 1 2.70000+ 1 1.31445- 3 5.78600- 5 2.20000+ 1 2.90000+ 1 2.54101- 3 6.49700- 5 2.20000+ 1 3.00000+ 1 4.98573- 4 6.54800- 5 2.70000+ 1 2.70000+ 1 5.90372- 6 7.68600- 5 2.70000+ 1 2.90000+ 1 1.23982- 4 8.39700- 5 2.70000+ 1 3.00000+ 1 1.33151- 5 8.44800- 5 2.90000+ 1 3.00000+ 1 4.44682- 5 9.15900- 5 3.00000+ 1 3.00000+ 1 5.02452- 7 9.21000- 5 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.05021- 6 6.23100- 5 2.20000+ 1 1.02981- 5 6.34100- 5 2.70000+ 1 1.30981- 6 8.24100- 5 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 2.28698- 2 2.88200- 5 2.10000+ 1 2.20000+ 1 5.80847- 1 2.99200- 5 2.10000+ 1 2.70000+ 1 2.01128- 3 4.89200- 5 2.10000+ 1 2.90000+ 1 3.94328- 4 5.60300- 5 2.10000+ 1 3.00000+ 1 1.95168- 3 5.65400- 5 2.20000+ 1 2.20000+ 1 3.72596- 1 3.10200- 5 2.20000+ 1 2.70000+ 1 1.16189- 2 5.00200- 5 2.20000+ 1 2.90000+ 1 2.81647- 3 5.71300- 5 2.20000+ 1 3.00000+ 1 4.72146- 3 5.76400- 5 2.70000+ 1 2.70000+ 1 5.31005- 7 6.90200- 5 2.70000+ 1 2.90000+ 1 8.07140- 6 7.61300- 5 2.70000+ 1 3.00000+ 1 1.17778- 4 7.66400- 5 2.90000+ 1 3.00000+ 1 2.32592- 5 8.37500- 5 3.00000+ 1 3.00000+ 1 1.06211- 5 8.42600- 5 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 5.82368- 9 2.72100- 5 3.00000+ 1 1.02090- 9 2.77200- 5 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 3.80318- 1 6.71000- 6 2.70000+ 1 2.90000+ 1 2.81669- 1 1.38200- 5 2.70000+ 1 3.00000+ 1 2.44679- 1 1.43300- 5 2.90000+ 1 3.00000+ 1 8.83536- 2 2.14400- 5 3.00000+ 1 3.00000+ 1 4.98008- 3 2.19500- 5 1 50000 0 7 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 7.16671- 9 2.66200- 5 1 50000 0 9 1.18690+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 4.14761- 1 5.61000- 6 2.70000+ 1 2.90000+ 1 1.24220- 1 1.27200- 5 2.70000+ 1 3.00000+ 1 3.85890- 1 1.32300- 5 2.90000+ 1 3.00000+ 1 4.60810- 2 2.03400- 5 3.00000+ 1 3.00000+ 1 2.90480- 2 2.08500- 5 1 51000 0 0 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 1.00000+ 0 3.00000+ 1 2.00000+ 0 1 51000 0 0 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.04790- 2 3.00000+ 0 4.67370- 3 5.00000+ 0 4.38600- 3 6.00000+ 0 4.13050- 3 8.00000+ 0 9.28980- 4 1.00000+ 1 8.09160- 4 1.10000+ 1 7.61690- 4 1.30000+ 1 5.47790- 4 1.40000+ 1 5.37850- 4 1.60000+ 1 1.58270- 4 1.80000+ 1 1.17020- 4 1.90000+ 1 1.08120- 4 2.10000+ 1 4.18700- 5 2.20000+ 1 4.05600- 5 2.70000+ 1 1.59200- 5 2.90000+ 1 7.73000- 6 3.00000+ 1 7.02000- 6 1 51000 0 0 1.21750+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.87970- 2 3.00000+ 0 8.40060- 3 5.00000+ 0 8.40920- 3 6.00000+ 0 7.47970- 3 8.00000+ 0 2.41980- 3 1.00000+ 1 2.35280- 3 1.10000+ 1 2.14700- 3 1.30000+ 1 2.02440- 3 1.40000+ 1 1.97460- 3 1.60000+ 1 6.63760- 4 1.80000+ 1 5.97080- 4 1.90000+ 1 5.45890- 4 2.10000+ 1 3.99640- 4 2.20000+ 1 3.88830- 4 2.70000+ 1 1.02580- 4 2.90000+ 1 6.38900- 5 3.00000+ 1 5.58100- 5 1 51000 0 0 1.21750+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.50140-10 3.00000+ 0 6.44110-10 5.00000+ 0 5.43330-10 6.00000+ 0 5.72290-10 8.00000+ 0 1.73500- 9 1.00000+ 1 1.68210- 9 1.10000+ 1 1.74080- 9 1.30000+ 1 1.58440- 9 1.40000+ 1 1.60290- 9 1.60000+ 1 4.13190- 9 1.80000+ 1 4.33270- 9 1.90000+ 1 4.48330- 9 2.10000+ 1 5.22470- 9 2.20000+ 1 5.28650- 9 2.70000+ 1 1.12910- 8 2.90000+ 1 1.42800- 8 3.00000+ 1 1.50870- 8 1 51000 0 0 1.21750+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.72220- 6 3.00000+ 0 1.18850- 7 5.00000+ 0 1.99660- 7 6.00000+ 0 1.89090- 7 8.00000+ 0 2.54190- 9 1.00000+ 1 2.57860- 9 1.10000+ 1 2.50860- 9 1.30000+ 1 1.93400-10 1.40000+ 1 1.67820-10 1.60000+ 1 5.35160-11 1.80000+ 1 1.58670-10 1.90000+ 1 1.26620-10 2.10000+ 1 1.36520-12 2.20000+ 1 1.18940-12 1 51000 0 0 1.21750+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.21470- 6 3.00000+ 0 3.02760- 6 5.00000+ 0 2.51000- 6 6.00000+ 0 2.30330- 6 8.00000+ 0 1.28700- 5 1.00000+ 1 4.41730- 6 1.10000+ 1 4.79760- 6 1.30000+ 1 4.72720- 7 1.40000+ 1 4.77390- 7 1.60000+ 1 2.25920- 5 1.80000+ 1 2.36210- 5 1.90000+ 1 3.03260- 5 2.10000+ 1 1.37970- 7 2.20000+ 1 1.44310- 7 1 51000 0 0 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.60789- 4 3.00000+ 0 1.83297- 4 5.00000+ 0 1.54347- 4 6.00000+ 0 1.47129- 4 8.00000+ 0 1.37474- 4 1.00000+ 1 1.11159- 4 1.10000+ 1 1.08187- 4 1.30000+ 1 6.51004- 5 1.40000+ 1 6.57528- 5 1.60000+ 1 6.75407- 5 1.80000+ 1 4.84041- 5 1.90000+ 1 4.86623- 5 2.10000+ 1 2.41962- 5 2.20000+ 1 2.46771- 5 2.70000+ 1 1.59200- 5 2.90000+ 1 7.73000- 6 3.00000+ 1 7.02000- 6 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.48266- 1 3.00000+ 0 8.25050- 2 5.00000+ 0 8.98518- 2 6.00000+ 0 7.87520- 2 8.00000+ 0 2.67978- 3 1.00000+ 1 2.86074- 3 1.10000+ 1 2.68582- 3 1.30000+ 1 1.38498- 3 1.40000+ 1 1.26364- 3 1.60000+ 1 6.97622- 5 1.80000+ 1 5.63200- 5 1.90000+ 1 1.63591- 5 2.10000+ 1 3.41022- 8 2.20000+ 1 3.55699- 8 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.36913- 2 3.00000+ 0 3.05668- 4 5.00000+ 0 3.34044- 4 6.00000+ 0 2.74721- 4 8.00000+ 0 1.46669- 6 1.00000+ 1 1.49945- 6 1.10000+ 1 1.41285- 6 1.30000+ 1 5.95366- 7 1.40000+ 1 5.38901- 7 1.60000+ 1 4.28440- 9 1.80000+ 1 4.36089- 9 1.90000+ 1 1.14874- 9 2.10000+ 1 1.16786-12 2.20000+ 1 1.19302-12 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.21448+ 1 3.00000+ 0 1.39804+ 1 5.00000+ 0 1.16289+ 1 6.00000+ 0 1.10219+ 1 8.00000+ 0 1.02344+ 1 1.00000+ 1 8.09963+ 0 1.10000+ 1 7.83814+ 0 1.30000+ 1 4.34174+ 0 1.40000+ 1 4.36050+ 0 1.60000+ 1 4.51540+ 0 1.80000+ 1 2.97103+ 0 1.90000+ 1 2.97117+ 0 2.10000+ 1 1.00000+ 0 2.20000+ 1 1.00000+ 0 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.62689- 3 3.00000+ 0 4.18473- 3 5.00000+ 0 3.89761- 3 6.00000+ 0 3.70865- 3 8.00000+ 0 7.90039- 4 1.00000+ 1 6.96501- 4 1.10000+ 1 6.52090- 4 1.30000+ 1 4.82094- 4 1.40000+ 1 4.71558- 4 1.60000+ 1 9.07250- 5 1.80000+ 1 6.86115- 5 1.90000+ 1 5.94565- 5 2.10000+ 1 1.76738- 5 2.20000+ 1 1.58829- 5 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.50430- 1 2.60930- 2 6.00000+ 0 4.67350- 1 2.63485- 2 1.00000+ 1 4.26060- 2 2.96698- 2 1.10000+ 1 8.26640- 2 2.97173- 2 1.30000+ 1 3.60860- 4 2.99312- 2 1.40000+ 1 4.97690- 4 2.99411- 2 1.80000+ 1 8.77440- 3 3.03620- 2 1.90000+ 1 1.71920- 2 3.03709- 2 2.10000+ 1 5.71680- 5 3.04371- 2 2.20000+ 1 7.84450- 5 3.04384- 2 2.90000+ 1 3.23920- 4 3.04713- 2 3.00000+ 1 5.95080- 4 3.04720- 2 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 9.90275- 3 2.11316- 2 3.00000+ 0 5.00000+ 0 1.16747- 2 2.14193- 2 3.00000+ 0 6.00000+ 0 1.49491- 2 2.16748- 2 3.00000+ 0 8.00000+ 0 3.47898- 3 2.48763- 2 3.00000+ 0 1.00000+ 1 2.18615- 3 2.49961- 2 3.00000+ 0 1.10000+ 1 2.81937- 3 2.50436- 2 3.00000+ 0 1.30000+ 1 1.82728- 4 2.52575- 2 3.00000+ 0 1.40000+ 1 2.04712- 4 2.52674- 2 3.00000+ 0 1.60000+ 1 7.22565- 4 2.56470- 2 3.00000+ 0 1.80000+ 1 4.22149- 4 2.56883- 2 3.00000+ 0 1.90000+ 1 5.40121- 4 2.56972- 2 3.00000+ 0 2.10000+ 1 2.94918- 5 2.57634- 2 3.00000+ 0 2.20000+ 1 3.26721- 5 2.57647- 2 3.00000+ 0 2.70000+ 1 9.45492- 5 2.57894- 2 3.00000+ 0 2.90000+ 1 2.05291- 5 2.57976- 2 3.00000+ 0 3.00000+ 1 2.54445- 5 2.57983- 2 5.00000+ 0 5.00000+ 0 1.52851- 3 2.17070- 2 5.00000+ 0 6.00000+ 0 3.26966- 2 2.19625- 2 5.00000+ 0 8.00000+ 0 1.69860- 3 2.51640- 2 5.00000+ 0 1.00000+ 1 5.14099- 4 2.52838- 2 5.00000+ 0 1.10000+ 1 5.14555- 3 2.53313- 2 5.00000+ 0 1.30000+ 1 2.24378- 4 2.55452- 2 5.00000+ 0 1.40000+ 1 7.60718- 4 2.55551- 2 5.00000+ 0 1.60000+ 1 3.39748- 4 2.59347- 2 5.00000+ 0 1.80000+ 1 9.74410- 5 2.59760- 2 5.00000+ 0 1.90000+ 1 9.54184- 4 2.59849- 2 5.00000+ 0 2.10000+ 1 3.55635- 5 2.60511- 2 5.00000+ 0 2.20000+ 1 1.19985- 4 2.60524- 2 5.00000+ 0 2.70000+ 1 4.42374- 5 2.60771- 2 5.00000+ 0 2.90000+ 1 4.62620- 6 2.60853- 2 5.00000+ 0 3.00000+ 1 4.48166- 5 2.60860- 2 6.00000+ 0 6.00000+ 0 1.65720- 2 2.22180- 2 6.00000+ 0 8.00000+ 0 2.14087- 3 2.54195- 2 6.00000+ 0 1.00000+ 1 5.03716- 3 2.55393- 2 6.00000+ 0 1.10000+ 1 5.35262- 3 2.55868- 2 6.00000+ 0 1.30000+ 1 9.11672- 4 2.58007- 2 6.00000+ 0 1.40000+ 1 8.45454- 4 2.58106- 2 6.00000+ 0 1.60000+ 1 4.27062- 4 2.61902- 2 6.00000+ 0 1.80000+ 1 9.40285- 4 2.62315- 2 6.00000+ 0 1.90000+ 1 9.98068- 4 2.62404- 2 6.00000+ 0 2.10000+ 1 1.44858- 4 2.63066- 2 6.00000+ 0 2.20000+ 1 1.33879- 4 2.63079- 2 6.00000+ 0 2.70000+ 1 5.55167- 5 2.63326- 2 6.00000+ 0 2.90000+ 1 4.53955- 5 2.63408- 2 6.00000+ 0 3.00000+ 1 4.71305- 5 2.63415- 2 8.00000+ 0 8.00000+ 0 3.00989- 4 2.86210- 2 8.00000+ 0 1.00000+ 1 3.20951- 4 2.87409- 2 8.00000+ 0 1.10000+ 1 4.07121- 4 2.87883- 2 8.00000+ 0 1.30000+ 1 2.48664- 5 2.90022- 2 8.00000+ 0 1.40000+ 1 2.68901- 5 2.90122- 2 8.00000+ 0 1.60000+ 1 1.24622- 4 2.93917- 2 8.00000+ 0 1.80000+ 1 6.21655- 5 2.94330- 2 8.00000+ 0 1.90000+ 1 7.80690- 5 2.94419- 2 8.00000+ 0 2.10000+ 1 4.04804- 6 2.95081- 2 8.00000+ 0 2.20000+ 1 4.33720- 6 2.95095- 2 8.00000+ 0 2.70000+ 1 1.61923- 5 2.95341- 2 8.00000+ 0 2.90000+ 1 2.89137- 6 2.95423- 2 8.00000+ 0 3.00000+ 1 3.75897- 6 2.95430- 2 1.00000+ 1 1.00000+ 1 4.13463- 5 2.88607- 2 1.00000+ 1 1.10000+ 1 8.05560- 4 2.89081- 2 1.00000+ 1 1.30000+ 1 2.71796- 5 2.91220- 2 1.00000+ 1 1.40000+ 1 9.19480- 5 2.91320- 2 1.00000+ 1 1.60000+ 1 6.41900- 5 2.95116- 2 1.00000+ 1 1.80000+ 1 1.56139- 5 2.95528- 2 1.00000+ 1 1.90000+ 1 1.49777- 4 2.95617- 2 1.00000+ 1 2.10000+ 1 4.33719- 6 2.96280- 2 1.00000+ 1 2.20000+ 1 1.44563- 5 2.96293- 2 1.00000+ 1 2.70000+ 1 8.38514- 6 2.96539- 2 1.00000+ 1 2.90000+ 1 8.67421- 7 2.96621- 2 1.00000+ 1 3.00000+ 1 6.93949- 6 2.96628- 2 1.10000+ 1 1.10000+ 1 4.33717- 4 2.89556- 2 1.10000+ 1 1.30000+ 1 1.16519- 4 2.91695- 2 1.10000+ 1 1.40000+ 1 1.05533- 4 2.91795- 2 1.10000+ 1 1.60000+ 1 8.12488- 5 2.95590- 2 1.10000+ 1 1.80000+ 1 1.50641- 4 2.96003- 2 1.10000+ 1 1.90000+ 1 1.61922- 4 2.96092- 2 1.10000+ 1 2.10000+ 1 1.85055- 5 2.96754- 2 1.10000+ 1 2.20000+ 1 1.67696- 5 2.96767- 2 1.10000+ 1 2.70000+ 1 1.06985- 5 2.97014- 2 1.10000+ 1 2.90000+ 1 7.22853- 6 2.97096- 2 1.10000+ 1 3.00000+ 1 7.51769- 6 2.97103- 2 1.30000+ 1 1.40000+ 1 1.34430- 5 2.93934- 2 1.30000+ 1 1.60000+ 1 4.76136- 6 2.97729- 2 1.30000+ 1 1.80000+ 1 4.76136- 6 2.98142- 2 1.30000+ 1 1.90000+ 1 2.01664- 5 2.98231- 2 1.30000+ 1 2.20000+ 1 1.96043- 6 2.98906- 2 1.30000+ 1 2.70000+ 1 5.60157- 7 2.99153- 2 1.30000+ 1 2.90000+ 1 2.80074- 7 2.99235- 2 1.30000+ 1 3.00000+ 1 8.40232- 7 2.99242- 2 1.40000+ 1 1.40000+ 1 3.20034- 6 2.94033- 2 1.40000+ 1 1.60000+ 1 5.23701- 6 2.97829- 2 1.40000+ 1 1.80000+ 1 1.65846- 5 2.98241- 2 1.40000+ 1 1.90000+ 1 1.89113- 5 2.98330- 2 1.40000+ 1 2.10000+ 1 2.03648- 6 2.98993- 2 1.40000+ 1 2.20000+ 1 1.16377- 6 2.99006- 2 1.40000+ 1 2.70000+ 1 5.81886- 7 2.99252- 2 1.40000+ 1 2.90000+ 1 8.72825- 7 2.99334- 2 1.40000+ 1 3.00000+ 1 8.72825- 7 2.99341- 2 1.60000+ 1 1.60000+ 1 1.30046- 5 3.01625- 2 1.60000+ 1 1.80000+ 1 1.24266- 5 3.02037- 2 1.60000+ 1 1.90000+ 1 1.56052- 5 3.02126- 2 1.60000+ 1 2.10000+ 1 8.66933- 7 3.02789- 2 1.60000+ 1 2.20000+ 1 8.66933- 7 3.02802- 2 1.60000+ 1 2.70000+ 1 3.46784- 6 3.03048- 2 1.60000+ 1 2.90000+ 1 5.77958- 7 3.03130- 2 1.60000+ 1 3.00000+ 1 8.66933- 7 3.03137- 2 1.80000+ 1 1.80000+ 1 1.36562- 6 3.02450- 2 1.80000+ 1 1.90000+ 1 2.64943- 5 3.02539- 2 1.80000+ 1 2.10000+ 1 8.19410- 7 3.03201- 2 1.80000+ 1 2.20000+ 1 2.45827- 6 3.03214- 2 1.80000+ 1 2.70000+ 1 1.63878- 6 3.03461- 2 1.80000+ 1 3.00000+ 1 1.36562- 6 3.03550- 2 1.90000+ 1 1.90000+ 1 1.48831- 5 3.02628- 2 1.90000+ 1 2.10000+ 1 3.43459- 6 3.03290- 2 1.90000+ 1 2.20000+ 1 2.86204- 6 3.03303- 2 1.90000+ 1 2.70000+ 1 2.00334- 6 3.03550- 2 1.90000+ 1 2.90000+ 1 1.43097- 6 3.03631- 2 1.90000+ 1 3.00000+ 1 1.43097- 6 3.03639- 2 2.10000+ 1 2.20000+ 1 2.89130- 7 3.03966- 2 2.10000+ 1 3.00000+ 1 2.89130- 7 3.04301- 2 2.70000+ 1 2.70000+ 1 4.36520- 7 3.04472- 2 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.01991- 5 2.87700- 4 6.00000+ 0 2.93921- 4 5.43200- 4 1.00000+ 1 1.16940- 2 3.86454- 3 1.10000+ 1 1.88821- 2 3.91201- 3 1.30000+ 1 1.54180- 4 4.12591- 3 1.40000+ 1 2.30111- 4 4.13585- 3 1.80000+ 1 2.34711- 3 4.55668- 3 1.90000+ 1 3.86191- 3 4.56558- 3 2.10000+ 1 1.64701- 5 4.63183- 3 2.20000+ 1 2.48731- 5 4.63314- 3 2.90000+ 1 9.68973- 5 4.66597- 3 3.00000+ 1 1.51600- 4 4.66668- 3 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.78268- 2 1.29430- 4 5.00000+ 0 1.80000+ 1 4.09279- 2 1.70680- 4 5.00000+ 0 1.90000+ 1 5.34318- 2 1.79580- 4 5.00000+ 0 2.10000+ 1 1.26330- 2 2.45830- 4 5.00000+ 0 2.20000+ 1 2.05049- 2 2.47140- 4 5.00000+ 0 2.70000+ 1 7.31718- 3 2.71780- 4 5.00000+ 0 2.90000+ 1 1.88009- 3 2.79970- 4 5.00000+ 0 3.00000+ 1 2.39889- 3 2.80680- 4 6.00000+ 0 1.60000+ 1 7.79982- 2 3.84930- 4 6.00000+ 0 1.80000+ 1 3.45396- 2 4.26180- 4 6.00000+ 0 1.90000+ 1 6.60903- 2 4.35080- 4 6.00000+ 0 2.10000+ 1 5.62784- 2 5.01330- 4 6.00000+ 0 2.20000+ 1 7.26563- 2 5.02640- 4 6.00000+ 0 2.70000+ 1 9.89641- 3 5.27280- 4 6.00000+ 0 2.90000+ 1 1.61198- 3 5.35470- 4 6.00000+ 0 3.00000+ 1 3.03977- 3 5.36180- 4 8.00000+ 0 8.00000+ 0 1.38843- 2 2.81574- 3 8.00000+ 0 1.00000+ 1 2.75506- 2 2.93556- 3 8.00000+ 0 1.10000+ 1 5.13510- 2 2.98303- 3 8.00000+ 0 1.30000+ 1 4.10878- 2 3.19693- 3 8.00000+ 0 1.40000+ 1 5.84282- 2 3.20687- 3 8.00000+ 0 1.60000+ 1 4.93640- 3 3.58645- 3 8.00000+ 0 1.80000+ 1 5.21491- 3 3.62770- 3 8.00000+ 0 1.90000+ 1 9.62439- 3 3.63660- 3 8.00000+ 0 2.10000+ 1 5.70782- 3 3.70285- 3 8.00000+ 0 2.20000+ 1 8.05656- 3 3.70416- 3 8.00000+ 0 2.70000+ 1 6.33043- 4 3.72880- 3 8.00000+ 0 2.90000+ 1 2.51665- 4 3.73699- 3 8.00000+ 0 3.00000+ 1 4.54049- 4 3.73770- 3 1.00000+ 1 1.00000+ 1 1.65179- 4 3.05538- 3 1.00000+ 1 1.10000+ 1 1.12249- 3 3.10285- 3 1.00000+ 1 1.30000+ 1 1.11819- 3 3.31675- 3 1.00000+ 1 1.40000+ 1 1.50359- 2 3.32669- 3 1.00000+ 1 1.60000+ 1 3.95138- 3 3.70627- 3 1.00000+ 1 1.80000+ 1 3.37268- 5 3.74752- 3 1.00000+ 1 1.90000+ 1 1.99769- 4 3.75642- 3 1.00000+ 1 2.10000+ 1 1.58259- 4 3.82267- 3 1.00000+ 1 2.20000+ 1 1.40189- 3 3.82398- 3 1.00000+ 1 2.70000+ 1 4.86008- 4 3.84862- 3 1.00000+ 1 2.90000+ 1 1.72959- 6 3.85681- 3 1.00000+ 1 3.00000+ 1 9.51295- 6 3.85752- 3 1.10000+ 1 1.10000+ 1 1.19259- 3 3.15032- 3 1.10000+ 1 1.30000+ 1 1.10479- 2 3.36422- 3 1.10000+ 1 1.40000+ 1 7.57034- 3 3.37416- 3 1.10000+ 1 1.60000+ 1 7.36544- 3 3.75374- 3 1.10000+ 1 1.80000+ 1 1.99768- 4 3.79499- 3 1.10000+ 1 1.90000+ 1 3.45057- 4 3.80389- 3 1.10000+ 1 2.10000+ 1 9.15822- 4 3.87014- 3 1.10000+ 1 2.20000+ 1 6.53785- 4 3.87145- 3 1.10000+ 1 2.70000+ 1 9.06312- 4 3.89609- 3 1.10000+ 1 2.90000+ 1 9.51292- 6 3.90428- 3 1.10000+ 1 3.00000+ 1 1.55659- 5 3.90499- 3 1.30000+ 1 1.30000+ 1 2.29003- 3 3.57812- 3 1.30000+ 1 1.40000+ 1 8.40160- 2 3.58806- 3 1.30000+ 1 1.60000+ 1 5.61277- 3 3.96764- 3 1.30000+ 1 1.80000+ 1 2.75003- 4 4.00889- 3 1.30000+ 1 1.90000+ 1 2.07642- 3 4.01779- 3 1.30000+ 1 2.10000+ 1 6.30457- 4 4.08404- 3 1.30000+ 1 2.20000+ 1 8.64230- 3 4.08535- 3 1.30000+ 1 2.70000+ 1 6.85798- 4 4.10999- 3 1.30000+ 1 2.90000+ 1 1.38372- 5 4.11818- 3 1.30000+ 1 3.00000+ 1 9.77252- 5 4.11889- 3 1.40000+ 1 1.40000+ 1 2.36891- 2 3.59800- 3 1.40000+ 1 1.60000+ 1 8.02214- 3 3.97758- 3 1.40000+ 1 1.80000+ 1 2.60561- 3 4.01883- 3 1.40000+ 1 1.90000+ 1 1.49171- 3 4.02773- 3 1.40000+ 1 2.10000+ 1 8.58844- 3 4.09398- 3 1.40000+ 1 2.20000+ 1 5.08412- 3 4.09529- 3 1.40000+ 1 2.70000+ 1 9.81576- 4 4.11993- 3 1.40000+ 1 2.90000+ 1 1.24531- 4 4.12812- 3 1.40000+ 1 3.00000+ 1 7.09153- 5 4.12883- 3 1.60000+ 1 1.60000+ 1 4.17715- 4 4.35716- 3 1.60000+ 1 1.80000+ 1 7.50659- 4 4.39841- 3 1.60000+ 1 1.90000+ 1 1.38372- 3 4.40731- 3 1.60000+ 1 2.10000+ 1 7.77459- 4 4.47356- 3 1.60000+ 1 2.20000+ 1 1.10091- 3 4.47487- 3 1.60000+ 1 2.70000+ 1 1.06371- 4 4.49951- 3 1.60000+ 1 2.90000+ 1 3.63204- 5 4.50770- 3 1.60000+ 1 3.00000+ 1 6.48608- 5 4.50841- 3 1.80000+ 1 1.80000+ 1 1.72959- 6 4.43966- 3 1.80000+ 1 1.90000+ 1 3.63197- 5 4.44856- 3 1.80000+ 1 2.10000+ 1 3.28618- 5 4.51481- 3 1.80000+ 1 2.20000+ 1 2.49928- 4 4.51612- 3 1.80000+ 1 2.70000+ 1 9.25324- 5 4.54076- 3 1.80000+ 1 3.00000+ 1 1.72959- 6 4.54966- 3 1.90000+ 1 1.90000+ 1 2.50799- 5 4.45746- 3 1.90000+ 1 2.10000+ 1 1.81609- 4 4.52371- 3 1.90000+ 1 2.20000+ 1 1.34049- 4 4.52502- 3 1.90000+ 1 2.70000+ 1 1.70359- 4 4.54966- 3 1.90000+ 1 2.90000+ 1 1.72959- 6 4.55785- 3 1.90000+ 1 3.00000+ 1 2.59449- 6 4.55856- 3 2.10000+ 1 2.10000+ 1 4.15093- 5 4.58996- 3 2.10000+ 1 2.20000+ 1 9.38291- 4 4.59127- 3 2.10000+ 1 2.70000+ 1 9.51260- 5 4.61591- 3 2.10000+ 1 2.90000+ 1 1.72953- 6 4.62410- 3 2.10000+ 1 3.00000+ 1 8.64774- 6 4.62481- 3 2.20000+ 1 2.20000+ 1 2.86250- 4 4.59258- 3 2.20000+ 1 2.70000+ 1 1.34050- 4 4.61722- 3 2.20000+ 1 2.90000+ 1 1.21080- 5 4.62541- 3 2.20000+ 1 3.00000+ 1 6.05350- 6 4.62612- 3 2.70000+ 1 2.70000+ 1 6.29062- 6 4.64186- 3 2.70000+ 1 2.90000+ 1 3.93152- 6 4.65005- 3 2.70000+ 1 3.00000+ 1 7.07692- 6 4.65076- 3 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 3.65139- 8 2.55500- 4 8.00000+ 0 3.75579- 3 3.45702- 3 1.10000+ 1 4.98529- 5 3.62431- 3 1.30000+ 1 6.14489- 2 3.83821- 3 1.60000+ 1 4.75729- 4 4.22773- 3 1.90000+ 1 4.80709- 6 4.27788- 3 2.10000+ 1 7.90419- 3 4.34413- 3 2.70000+ 1 4.53629- 5 4.37008- 3 3.00000+ 1 1.88800- 7 4.37898- 3 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.21968- 2 9.72300- 5 6.00000+ 0 1.80000+ 1 5.10434- 2 1.38480- 4 6.00000+ 0 1.90000+ 1 1.80542- 2 1.47380- 4 6.00000+ 0 2.10000+ 1 6.24951- 2 2.13630- 4 6.00000+ 0 2.20000+ 1 2.33185- 2 2.14940- 4 6.00000+ 0 2.70000+ 1 1.44509- 3 2.39580- 4 6.00000+ 0 2.90000+ 1 2.35405- 3 2.47770- 4 6.00000+ 0 3.00000+ 1 8.42596- 4 2.48480- 4 8.00000+ 0 8.00000+ 0 1.08766- 3 2.52804- 3 8.00000+ 0 1.00000+ 1 2.57903- 2 2.64786- 3 8.00000+ 0 1.10000+ 1 2.50973- 3 2.69533- 3 8.00000+ 0 1.30000+ 1 1.81369- 3 2.90923- 3 8.00000+ 0 1.40000+ 1 3.69470- 3 2.91917- 3 8.00000+ 0 1.60000+ 1 3.61530- 4 3.29875- 3 8.00000+ 0 1.80000+ 1 3.39438- 3 3.34000- 3 8.00000+ 0 1.90000+ 1 4.18783- 4 3.34890- 3 8.00000+ 0 2.10000+ 1 1.85790- 4 3.41515- 3 8.00000+ 0 2.20000+ 1 3.26387- 4 3.41646- 3 8.00000+ 0 2.70000+ 1 4.51925- 5 3.44110- 3 8.00000+ 0 2.90000+ 1 1.55668- 4 3.44929- 3 8.00000+ 0 3.00000+ 1 1.90810- 5 3.45000- 3 1.00000+ 1 1.00000+ 1 2.52550- 2 2.76768- 3 1.00000+ 1 1.10000+ 1 7.99652- 2 2.81515- 3 1.00000+ 1 1.30000+ 1 4.33538- 2 3.02905- 3 1.00000+ 1 1.40000+ 1 7.47090- 2 3.03899- 3 1.00000+ 1 1.60000+ 1 5.46102- 3 3.41857- 3 1.00000+ 1 1.80000+ 1 8.23563- 3 3.45982- 3 1.00000+ 1 1.90000+ 1 1.47306- 2 3.46872- 3 1.00000+ 1 2.10000+ 1 5.99844- 3 3.53497- 3 1.00000+ 1 2.20000+ 1 1.03134- 2 3.53628- 3 1.00000+ 1 2.70000+ 1 7.16019- 4 3.56092- 3 1.00000+ 1 2.90000+ 1 3.89656- 4 3.56911- 3 1.00000+ 1 3.00000+ 1 6.91918- 4 3.56982- 3 1.10000+ 1 1.10000+ 1 2.11597- 3 2.86262- 3 1.10000+ 1 1.30000+ 1 5.24769- 2 3.07652- 3 1.10000+ 1 1.40000+ 1 7.06566- 3 3.08646- 3 1.10000+ 1 1.60000+ 1 4.57927- 4 3.46604- 3 1.10000+ 1 1.80000+ 1 1.09154- 2 3.50729- 3 1.10000+ 1 1.90000+ 1 6.59774- 4 3.51619- 3 1.10000+ 1 2.10000+ 1 6.28843- 3 3.58244- 3 1.10000+ 1 2.20000+ 1 7.90348- 4 3.58375- 3 1.10000+ 1 2.70000+ 1 5.82451- 5 3.60839- 3 1.10000+ 1 2.90000+ 1 5.02108- 4 3.61658- 3 1.10000+ 1 3.00000+ 1 3.01270- 5 3.61729- 3 1.30000+ 1 1.30000+ 1 4.78289- 2 3.29042- 3 1.30000+ 1 1.40000+ 1 2.06154- 1 3.30036- 3 1.30000+ 1 1.60000+ 1 3.89648- 4 3.67994- 3 1.30000+ 1 1.80000+ 1 5.93291- 3 3.72119- 3 1.30000+ 1 1.90000+ 1 9.16067- 3 3.73009- 3 1.30000+ 1 2.10000+ 1 1.14282- 2 3.79634- 3 1.30000+ 1 2.20000+ 1 2.61935- 2 3.79765- 3 1.30000+ 1 2.70000+ 1 5.12140- 5 3.82229- 3 1.30000+ 1 2.90000+ 1 2.74155- 4 3.83048- 3 1.30000+ 1 3.00000+ 1 4.26818- 4 3.83119- 3 1.40000+ 1 1.40000+ 1 9.80724- 3 3.31030- 3 1.40000+ 1 1.60000+ 1 6.60813- 4 3.68988- 3 1.40000+ 1 1.80000+ 1 9.14352- 3 3.73113- 3 1.40000+ 1 1.90000+ 1 1.12974- 3 3.74003- 3 1.40000+ 1 2.10000+ 1 2.11137- 2 3.80628- 3 1.40000+ 1 2.20000+ 1 2.27858- 3 3.80759- 3 1.40000+ 1 2.70000+ 1 8.43570- 5 3.83223- 3 1.40000+ 1 2.90000+ 1 4.13755- 4 3.84042- 3 1.40000+ 1 3.00000+ 1 5.22219- 5 3.84113- 3 1.60000+ 1 1.60000+ 1 3.39299- 5 4.06946- 3 1.60000+ 1 1.80000+ 1 8.41212- 4 4.11071- 3 1.60000+ 1 1.90000+ 1 9.00889- 5 4.11961- 3 1.60000+ 1 2.10000+ 1 4.44590- 5 4.18586- 3 1.60000+ 1 2.20000+ 1 6.90286- 5 4.18717- 3 1.60000+ 1 2.70000+ 1 8.18971- 6 4.21181- 3 1.60000+ 1 2.90000+ 1 3.86101- 5 4.22000- 3 1.60000+ 1 3.00000+ 1 4.67985- 6 4.22071- 3 1.80000+ 1 1.80000+ 1 6.20064- 4 4.15196- 3 1.80000+ 1 1.90000+ 1 1.93456- 3 4.16086- 3 1.80000+ 1 2.10000+ 1 7.78472- 4 4.22711- 3 1.80000+ 1 2.20000+ 1 1.22177- 3 4.22842- 3 1.80000+ 1 2.70000+ 1 9.07853- 5 4.25306- 3 1.80000+ 1 2.90000+ 1 5.79495- 5 4.26125- 3 1.80000+ 1 3.00000+ 1 9.07853- 5 4.26196- 3 1.90000+ 1 1.90000+ 1 5.18081- 5 4.16976- 3 1.90000+ 1 2.10000+ 1 1.09797- 3 4.23601- 3 1.90000+ 1 2.20000+ 1 1.28518- 4 4.23732- 3 1.90000+ 1 2.70000+ 1 9.96277- 6 4.26196- 3 1.90000+ 1 2.90000+ 1 9.16592- 5 4.27015- 3 1.90000+ 1 3.00000+ 1 4.98130- 6 4.27086- 3 2.10000+ 1 2.10000+ 1 6.75853- 4 4.30226- 3 2.10000+ 1 2.20000+ 1 2.75865- 3 4.30357- 3 2.10000+ 1 2.70000+ 1 5.02100- 6 4.32821- 3 2.10000+ 1 2.90000+ 1 3.71558- 5 4.33640- 3 2.10000+ 1 3.00000+ 1 5.12140- 5 4.33711- 3 2.20000+ 1 2.20000+ 1 1.38854- 4 4.30488- 3 2.20000+ 1 2.70000+ 1 8.35227- 6 4.32952- 3 2.20000+ 1 2.90000+ 1 5.95091- 5 4.33771- 3 2.20000+ 1 3.00000+ 1 6.26395- 6 4.33842- 3 2.70000+ 1 2.90000+ 1 4.01689- 6 4.36235- 3 2.90000+ 1 2.90000+ 1 1.00425- 6 4.37054- 3 2.90000+ 1 3.00000+ 1 3.01275- 6 4.37125- 3 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 6.63168- 3 3.20152- 3 1.00000+ 1 3.44929- 5 3.32134- 3 1.10000+ 1 3.22599- 5 3.36881- 3 1.30000+ 1 6.15498- 3 3.58271- 3 1.40000+ 1 5.45798- 2 3.59265- 3 1.60000+ 1 5.14908- 4 3.97223- 3 1.80000+ 1 2.40449- 6 4.01348- 3 1.90000+ 1 2.29839- 6 4.02238- 3 2.10000+ 1 7.74928- 4 4.08863- 3 2.20000+ 1 6.88898- 3 4.08994- 3 2.70000+ 1 5.81298- 5 4.11458- 3 2.90000+ 1 9.89377- 8 4.12277- 3 3.00000+ 1 8.99957- 8 4.12348- 3 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.41410- 3 2.27254- 3 8.00000+ 0 1.00000+ 1 1.03082- 3 2.39236- 3 8.00000+ 0 1.10000+ 1 2.99215- 2 2.43983- 3 8.00000+ 0 1.30000+ 1 2.95925- 3 2.65373- 3 8.00000+ 0 1.40000+ 1 3.15039- 3 2.66367- 3 8.00000+ 0 1.60000+ 1 4.70652- 4 3.04325- 3 8.00000+ 0 1.80000+ 1 1.63805- 4 3.08450- 3 8.00000+ 0 1.90000+ 1 3.93005- 3 3.09340- 3 8.00000+ 0 2.10000+ 1 2.31500- 4 3.15965- 3 8.00000+ 0 2.20000+ 1 2.30410- 4 3.16096- 3 8.00000+ 0 2.70000+ 1 5.89678- 5 3.18560- 3 8.00000+ 0 2.90000+ 1 7.64376- 6 3.19379- 3 8.00000+ 0 3.00000+ 1 1.75808- 4 3.19450- 3 1.00000+ 1 1.00000+ 1 3.49437- 4 2.51218- 3 1.00000+ 1 1.10000+ 1 4.97459- 2 2.55965- 3 1.00000+ 1 1.30000+ 1 3.41244- 3 2.77355- 3 1.00000+ 1 1.40000+ 1 3.04566- 2 2.78349- 3 1.00000+ 1 1.60000+ 1 1.84539- 4 3.16307- 3 1.00000+ 1 1.80000+ 1 1.10294- 4 3.20432- 3 1.00000+ 1 1.90000+ 1 6.76168- 3 3.21322- 3 1.00000+ 1 2.10000+ 1 4.42247- 4 3.27947- 3 1.00000+ 1 2.20000+ 1 3.45836- 3 3.28078- 3 1.00000+ 1 2.70000+ 1 2.40232- 5 3.30542- 3 1.00000+ 1 2.90000+ 1 5.45979- 6 3.31361- 3 1.00000+ 1 3.00000+ 1 3.04666- 4 3.31432- 3 1.10000+ 1 1.10000+ 1 7.03608- 2 2.60712- 3 1.10000+ 1 1.30000+ 1 7.13600- 2 2.82102- 3 1.10000+ 1 1.40000+ 1 1.08393- 1 2.83096- 3 1.10000+ 1 1.60000+ 1 6.27362- 3 3.21054- 3 1.10000+ 1 1.80000+ 1 9.06471- 3 3.25179- 3 1.10000+ 1 1.90000+ 1 2.24947- 2 3.26069- 3 1.10000+ 1 2.10000+ 1 9.55481- 3 3.32694- 3 1.10000+ 1 2.20000+ 1 1.43000- 2 3.32825- 3 1.10000+ 1 2.70000+ 1 8.22283- 4 3.35289- 3 1.10000+ 1 2.90000+ 1 4.35692- 4 3.36108- 3 1.10000+ 1 3.00000+ 1 1.03962- 3 3.36179- 3 1.30000+ 1 1.30000+ 1 1.04024- 2 3.03492- 3 1.30000+ 1 1.40000+ 1 2.00017- 1 3.04486- 3 1.30000+ 1 1.60000+ 1 5.76564- 4 3.42444- 3 1.30000+ 1 1.80000+ 1 6.18074- 4 3.46569- 3 1.30000+ 1 1.90000+ 1 9.10512- 3 3.47459- 3 1.30000+ 1 2.10000+ 1 2.49308- 3 3.54084- 3 1.30000+ 1 2.20000+ 1 2.07568- 2 3.54215- 3 1.30000+ 1 2.70000+ 1 7.42553- 5 3.56679- 3 1.30000+ 1 2.90000+ 1 2.94838- 5 3.57498- 3 1.30000+ 1 3.00000+ 1 4.06204- 4 3.57569- 3 1.40000+ 1 1.40000+ 1 1.35950- 1 3.05480- 3 1.40000+ 1 1.60000+ 1 6.54095- 4 3.43438- 3 1.40000+ 1 1.80000+ 1 5.19775- 3 3.47563- 3 1.40000+ 1 1.90000+ 1 1.53994- 2 3.48453- 3 1.40000+ 1 2.10000+ 1 2.42363- 2 3.55078- 3 1.40000+ 1 2.20000+ 1 3.12199- 2 3.55209- 3 1.40000+ 1 2.70000+ 1 8.51748- 5 3.57673- 3 1.40000+ 1 2.90000+ 1 2.46794- 4 3.58492- 3 1.40000+ 1 3.00000+ 1 6.99965- 4 3.58563- 3 1.60000+ 1 1.60000+ 1 4.69733- 5 3.81396- 3 1.60000+ 1 1.80000+ 1 3.52288- 5 3.85521- 3 1.60000+ 1 1.90000+ 1 9.87750- 4 3.86411- 3 1.60000+ 1 2.10000+ 1 5.74127- 5 3.93036- 3 1.60000+ 1 2.20000+ 1 6.00207- 5 3.93167- 3 1.60000+ 1 2.70000+ 1 1.17438- 5 3.95631- 3 1.60000+ 1 2.90000+ 1 1.30484- 6 3.96450- 3 1.60000+ 1 3.00000+ 1 4.43620- 5 3.96521- 3 1.80000+ 1 1.80000+ 1 8.41042- 6 3.89646- 3 1.80000+ 1 1.90000+ 1 1.18585- 3 3.90536- 3 1.80000+ 1 2.10000+ 1 7.56929- 5 3.97161- 3 1.80000+ 1 2.20000+ 1 5.82418- 4 3.97292- 3 1.80000+ 1 2.70000+ 1 3.15378- 6 3.99756- 3 1.80000+ 1 2.90000+ 1 1.05132- 6 4.00575- 3 1.80000+ 1 3.00000+ 1 5.36139- 5 4.00646- 3 1.90000+ 1 1.90000+ 1 1.66647- 3 3.91426- 3 1.90000+ 1 2.10000+ 1 1.16521- 3 3.98051- 3 1.90000+ 1 2.20000+ 1 1.91764- 3 3.98182- 3 1.90000+ 1 2.70000+ 1 1.03185- 4 4.00646- 3 1.90000+ 1 2.90000+ 1 5.62795- 5 4.01465- 3 1.90000+ 1 3.00000+ 1 1.53206- 4 4.01536- 3 2.10000+ 1 2.10000+ 1 1.46321- 4 4.04676- 3 2.10000+ 1 2.20000+ 1 2.57925- 3 4.04807- 3 2.10000+ 1 2.70000+ 1 6.55179- 6 4.07271- 3 2.10000+ 1 2.90000+ 1 3.27589- 6 4.08090- 3 2.10000+ 1 3.00000+ 1 5.45976- 5 4.08161- 3 2.20000+ 1 2.20000+ 1 1.90590- 3 4.04938- 3 2.20000+ 1 2.70000+ 1 6.93888- 6 4.07402- 3 2.20000+ 1 2.90000+ 1 3.00695- 5 4.08221- 3 2.20000+ 1 3.00000+ 1 9.59901- 5 4.08292- 3 2.70000+ 1 2.70000+ 1 1.09203- 6 4.09866- 3 2.70000+ 1 3.00000+ 1 4.36785- 6 4.10756- 3 2.90000+ 1 3.00000+ 1 2.18399- 6 4.11575- 3 3.00000+ 1 3.00000+ 1 3.27589- 6 4.11646- 3 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.14777- 5 1.19820- 4 1.10000+ 1 6.46851- 5 1.67290- 4 1.80000+ 1 1.60535- 4 8.11960- 4 1.90000+ 1 2.24792- 4 8.20860- 4 2.90000+ 1 7.23611- 6 9.21250- 4 3.00000+ 1 9.82188- 6 9.21960- 4 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.80000+ 1 4.75189- 2 2.80000- 6 1.00000+ 1 1.90000+ 1 8.73217- 2 1.17000- 5 1.00000+ 1 2.10000+ 1 6.33903- 2 7.79500- 5 1.00000+ 1 2.20000+ 1 8.60312- 2 7.92600- 5 1.00000+ 1 2.70000+ 1 5.59965- 3 1.03900- 4 1.00000+ 1 2.90000+ 1 1.71433- 3 1.12090- 4 1.00000+ 1 3.00000+ 1 2.93122- 3 1.12800- 4 1.10000+ 1 1.60000+ 1 7.39341- 2 9.02000- 6 1.10000+ 1 1.80000+ 1 8.08845- 2 5.02700- 5 1.10000+ 1 1.90000+ 1 1.25741- 1 5.91700- 5 1.10000+ 1 2.10000+ 1 5.33180- 2 1.25420- 4 1.10000+ 1 2.20000+ 1 7.82427- 2 1.26730- 4 1.10000+ 1 2.70000+ 1 8.28604- 3 1.51370- 4 1.10000+ 1 2.90000+ 1 2.68563- 3 1.59560- 4 1.10000+ 1 3.00000+ 1 4.08464- 3 1.60270- 4 1.30000+ 1 1.60000+ 1 2.86204- 2 2.22920- 4 1.30000+ 1 1.80000+ 1 5.83951- 3 2.64170- 4 1.30000+ 1 1.90000+ 1 4.48476- 3 2.73070- 4 1.30000+ 1 2.10000+ 1 6.50010- 3 3.39320- 4 1.30000+ 1 2.20000+ 1 7.82225- 3 3.40630- 4 1.30000+ 1 2.70000+ 1 2.35662- 3 3.65270- 4 1.30000+ 1 2.90000+ 1 1.74939- 4 3.73460- 4 1.30000+ 1 3.00000+ 1 1.24902- 4 3.74170- 4 1.40000+ 1 1.60000+ 1 4.19181- 2 2.32860- 4 1.40000+ 1 1.80000+ 1 1.53459- 3 2.74110- 4 1.40000+ 1 1.90000+ 1 1.15090- 2 2.83010- 4 1.40000+ 1 2.10000+ 1 8.24424- 3 3.49260- 4 1.40000+ 1 2.20000+ 1 1.31200- 2 3.50570- 4 1.40000+ 1 2.70000+ 1 3.44104- 3 3.75210- 4 1.40000+ 1 2.90000+ 1 4.25700- 5 3.83400- 4 1.40000+ 1 3.00000+ 1 3.23753- 4 3.84110- 4 1.60000+ 1 1.60000+ 1 9.80676- 3 6.12440- 4 1.60000+ 1 1.80000+ 1 1.54346- 2 6.53690- 4 1.60000+ 1 1.90000+ 1 2.85018- 2 6.62590- 4 1.60000+ 1 2.10000+ 1 2.54366- 2 7.28840- 4 1.60000+ 1 2.20000+ 1 3.70155- 2 7.30150- 4 1.60000+ 1 2.70000+ 1 1.89544- 3 7.54790- 4 1.60000+ 1 2.90000+ 1 5.52173- 4 7.62980- 4 1.60000+ 1 3.00000+ 1 9.66005- 4 7.63690- 4 1.80000+ 1 1.80000+ 1 9.04042- 4 6.94940- 4 1.80000+ 1 1.90000+ 1 2.18453- 3 7.03840- 4 1.80000+ 1 2.10000+ 1 1.20146- 3 7.70090- 4 1.80000+ 1 2.20000+ 1 3.92352- 4 7.71400- 4 1.80000+ 1 2.70000+ 1 1.24735- 3 7.96040- 4 1.80000+ 1 2.90000+ 1 5.54428- 5 8.04230- 4 1.80000+ 1 3.00000+ 1 6.07688- 5 8.04940- 4 1.90000+ 1 1.90000+ 1 2.78616- 3 7.12740- 4 1.90000+ 1 2.10000+ 1 1.00873- 3 7.78990- 4 1.90000+ 1 2.20000+ 1 2.94067- 3 7.80300- 4 1.90000+ 1 2.70000+ 1 2.20450- 3 8.04940- 4 1.90000+ 1 2.90000+ 1 6.40594- 5 8.13130- 4 1.90000+ 1 3.00000+ 1 1.63711- 4 8.13840- 4 2.10000+ 1 2.10000+ 1 3.04172- 4 8.45240- 4 2.10000+ 1 2.20000+ 1 9.14483- 4 8.46550- 4 2.10000+ 1 2.70000+ 1 1.92169- 3 8.71190- 4 2.10000+ 1 2.90000+ 1 3.22297- 5 8.79380- 4 2.10000+ 1 3.00000+ 1 2.71940- 5 8.80090- 4 2.20000+ 1 2.20000+ 1 6.72807- 4 8.47860- 4 2.20000+ 1 2.70000+ 1 2.79591- 3 8.72500- 4 2.20000+ 1 2.90000+ 1 1.00718- 5 8.80690- 4 2.20000+ 1 3.00000+ 1 8.15840- 5 8.81400- 4 2.70000+ 1 2.70000+ 1 8.13849- 5 8.97140- 4 2.70000+ 1 2.90000+ 1 4.11786- 5 9.05330- 4 2.70000+ 1 3.00000+ 1 7.15748- 5 9.06040- 4 2.90000+ 1 3.00000+ 1 2.01438- 6 9.14230- 4 3.00000+ 1 3.00000+ 1 2.01438- 6 9.14940- 4 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.22810- 4 2.61370- 4 1.60000+ 1 2.55602- 4 6.50890- 4 2.10000+ 1 7.92687- 4 7.67290- 4 2.70000+ 1 3.19958- 5 7.93240- 4 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.82395- 2 5.60000- 6 1.10000+ 1 2.20000+ 1 4.69709- 2 6.91000- 6 1.10000+ 1 2.70000+ 1 7.11002- 3 3.15500- 5 1.10000+ 1 2.90000+ 1 2.45659- 3 3.97400- 5 1.10000+ 1 3.00000+ 1 2.88056- 3 4.04500- 5 1.30000+ 1 1.60000+ 1 1.32881- 1 1.03100- 4 1.30000+ 1 1.80000+ 1 1.34782- 1 1.44350- 4 1.30000+ 1 1.90000+ 1 2.01202- 1 1.53250- 4 1.30000+ 1 2.10000+ 1 4.96127- 2 2.19500- 4 1.30000+ 1 2.20000+ 1 5.10401- 2 2.20810- 4 1.30000+ 1 2.70000+ 1 1.53599- 2 2.45450- 4 1.30000+ 1 2.90000+ 1 4.29815- 3 2.53640- 4 1.30000+ 1 3.00000+ 1 6.59061- 3 2.54350- 4 1.40000+ 1 1.60000+ 1 2.28507- 2 1.13040- 4 1.40000+ 1 1.80000+ 1 1.67391- 1 1.54290- 4 1.40000+ 1 1.90000+ 1 1.76795- 2 1.63190- 4 1.40000+ 1 2.10000+ 1 4.02461- 3 2.29440- 4 1.40000+ 1 2.20000+ 1 6.65159- 3 2.30750- 4 1.40000+ 1 2.70000+ 1 1.82883- 3 2.55390- 4 1.40000+ 1 2.90000+ 1 4.59865- 3 2.63580- 4 1.40000+ 1 3.00000+ 1 5.33859- 4 2.64290- 4 1.60000+ 1 1.60000+ 1 7.17075- 4 4.92620- 4 1.60000+ 1 1.80000+ 1 1.02860- 2 5.33870- 4 1.60000+ 1 1.90000+ 1 1.67563- 3 5.42770- 4 1.60000+ 1 2.10000+ 1 3.67323- 4 6.09020- 4 1.60000+ 1 2.20000+ 1 9.80913- 4 6.10330- 4 1.60000+ 1 2.70000+ 1 1.32598- 4 6.34970- 4 1.60000+ 1 2.90000+ 1 2.71251- 4 6.43160- 4 1.60000+ 1 3.00000+ 1 5.20886- 5 6.43870- 4 1.80000+ 1 1.80000+ 1 7.02024- 3 5.75120- 4 1.80000+ 1 1.90000+ 1 2.19914- 2 5.84020- 4 1.80000+ 1 2.10000+ 1 1.71177- 2 6.50270- 4 1.80000+ 1 2.20000+ 1 2.84761- 2 6.51580- 4 1.80000+ 1 2.70000+ 1 1.15795- 3 6.76220- 4 1.80000+ 1 2.90000+ 1 4.41866- 4 6.84410- 4 1.80000+ 1 3.00000+ 1 7.44260- 4 6.85120- 4 1.90000+ 1 1.90000+ 1 6.30080- 4 5.92920- 4 1.90000+ 1 2.10000+ 1 1.92215- 3 6.59170- 4 1.90000+ 1 2.20000+ 1 1.34629- 3 6.60480- 4 1.90000+ 1 2.70000+ 1 1.46299- 4 6.85120- 4 1.90000+ 1 2.90000+ 1 6.39514- 4 6.93310- 4 1.90000+ 1 3.00000+ 1 3.69361- 5 6.94020- 4 2.10000+ 1 2.10000+ 1 6.13559- 4 7.25420- 4 2.10000+ 1 2.20000+ 1 1.40827- 3 7.26730- 4 2.10000+ 1 2.70000+ 1 4.00923- 5 7.51370- 4 2.10000+ 1 2.90000+ 1 4.83954- 4 7.59560- 4 2.10000+ 1 3.00000+ 1 5.44099- 5 7.60270- 4 2.20000+ 1 2.20000+ 1 1.89491- 4 7.28040- 4 2.20000+ 1 2.70000+ 1 4.91391- 5 7.52680- 4 2.20000+ 1 2.90000+ 1 4.46578- 4 7.60870- 4 2.20000+ 1 3.00000+ 1 2.00486- 5 7.61580- 4 2.70000+ 1 2.70000+ 1 5.48474- 6 7.77320- 4 2.70000+ 1 2.90000+ 1 2.74237- 5 7.85510- 4 2.70000+ 1 3.00000+ 1 3.65633- 6 7.86220- 4 2.90000+ 1 3.00000+ 1 1.82819- 5 7.94410- 4 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.49033- 5 2.13900- 4 1.40000+ 1 2.62304- 4 2.23840- 4 1.60000+ 1 3.15146- 4 6.03420- 4 2.10000+ 1 9.81626- 5 7.19820- 4 2.20000+ 1 8.10751- 4 7.21130- 4 2.70000+ 1 3.91178- 5 7.45770- 4 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 2.74654- 2 5.56300- 5 1.30000+ 1 1.80000+ 1 1.92200- 2 9.68800- 5 1.30000+ 1 1.90000+ 1 1.18206- 1 1.05780- 4 1.30000+ 1 2.10000+ 1 1.22421- 2 1.72030- 4 1.30000+ 1 2.20000+ 1 8.60260- 3 1.73340- 4 1.30000+ 1 2.70000+ 1 2.55490- 3 1.97980- 4 1.30000+ 1 2.90000+ 1 6.44219- 4 2.06170- 4 1.30000+ 1 3.00000+ 1 3.22967- 3 2.06880- 4 1.40000+ 1 1.60000+ 1 1.24785- 1 6.55700- 5 1.40000+ 1 1.80000+ 1 1.28111- 1 1.06820- 4 1.40000+ 1 1.90000+ 1 2.59733- 1 1.15720- 4 1.40000+ 1 2.10000+ 1 4.53504- 2 1.81970- 4 1.40000+ 1 2.20000+ 1 7.88583- 2 1.83280- 4 1.40000+ 1 2.70000+ 1 1.43350- 2 2.07920- 4 1.40000+ 1 2.90000+ 1 4.33872- 3 2.16110- 4 1.40000+ 1 3.00000+ 1 7.82851- 3 2.16820- 4 1.60000+ 1 1.60000+ 1 8.56645- 4 4.45150- 4 1.60000+ 1 1.80000+ 1 1.25215- 3 4.86400- 4 1.60000+ 1 1.90000+ 1 1.81260- 2 4.95300- 4 1.60000+ 1 2.10000+ 1 9.92057- 4 5.61550- 4 1.60000+ 1 2.20000+ 1 1.09956- 3 5.62860- 4 1.60000+ 1 2.70000+ 1 1.59077- 4 5.87500- 4 1.60000+ 1 2.90000+ 1 3.86959- 5 5.95690- 4 1.60000+ 1 3.00000+ 1 4.60032- 4 5.96400- 4 1.80000+ 1 1.80000+ 1 2.01078- 4 5.27650- 4 1.80000+ 1 1.90000+ 1 1.89930- 2 5.36550- 4 1.80000+ 1 2.10000+ 1 5.12947- 4 6.02800- 4 1.80000+ 1 2.20000+ 1 2.73504- 3 6.04110- 4 1.80000+ 1 2.70000+ 1 1.00537- 4 6.28750- 4 1.80000+ 1 2.90000+ 1 1.23110- 5 6.36940- 4 1.80000+ 1 3.00000+ 1 4.86290- 4 6.37650- 4 1.90000+ 1 1.90000+ 1 2.42588- 2 5.45450- 4 1.90000+ 1 2.10000+ 1 2.75761- 2 6.11700- 4 1.90000+ 1 2.20000+ 1 3.75489- 2 6.13010- 4 1.90000+ 1 2.70000+ 1 1.67918- 3 6.37650- 4 1.90000+ 1 2.90000+ 1 5.85847- 4 6.45840- 4 1.90000+ 1 3.00000+ 1 1.44099- 3 6.46550- 4 2.10000+ 1 2.10000+ 1 1.53470- 4 6.77950- 4 2.10000+ 1 2.20000+ 1 1.47192- 3 6.79260- 4 2.10000+ 1 2.70000+ 1 4.76734- 5 7.03900- 4 2.10000+ 1 2.90000+ 1 8.48970- 6 7.12090- 4 2.10000+ 1 3.00000+ 1 5.16583- 4 7.12800- 4 2.20000+ 1 2.20000+ 1 8.69299- 4 6.80570- 4 2.20000+ 1 2.70000+ 1 5.05202- 5 7.05210- 4 2.20000+ 1 2.90000+ 1 4.06475- 5 7.13400- 4 2.20000+ 1 3.00000+ 1 6.22512- 4 7.14110- 4 2.70000+ 1 2.70000+ 1 3.74216- 6 7.29850- 4 2.70000+ 1 2.90000+ 1 1.60377- 6 7.38040- 4 2.70000+ 1 3.00000+ 1 2.56607- 5 7.38750- 4 2.90000+ 1 3.00000+ 1 9.08820- 6 7.46940- 4 3.00000+ 1 3.00000+ 1 8.55365- 6 7.47650- 4 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.11899- 3 4.30770- 4 1.90000+ 1 1.82228- 4 4.39670- 4 2.90000+ 1 4.44276- 5 5.40060- 4 3.00000+ 1 6.87213- 6 5.40770- 4 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.90000+ 1 1.73601- 3 2.21000- 6 1.40000+ 1 3.00000+ 1 5.53562- 3 2.92000- 6 1.60000+ 1 1.60000+ 1 2.12687- 4 2.31250- 4 1.60000+ 1 1.80000+ 1 8.05343- 3 2.72500- 4 1.60000+ 1 1.90000+ 1 7.18535- 3 2.81400- 4 1.60000+ 1 2.10000+ 1 1.24792- 1 3.47650- 4 1.60000+ 1 2.20000+ 1 1.91357- 2 3.48960- 4 1.60000+ 1 2.70000+ 1 4.02368- 5 3.73600- 4 1.60000+ 1 2.90000+ 1 2.29931- 4 3.81790- 4 1.60000+ 1 3.00000+ 1 1.49457- 4 3.82500- 4 1.80000+ 1 1.80000+ 1 1.68434- 3 3.13750- 4 1.80000+ 1 1.90000+ 1 1.96888- 2 3.22650- 4 1.80000+ 1 2.10000+ 1 9.56848- 2 3.88900- 4 1.80000+ 1 2.20000+ 1 8.46180- 3 3.90210- 4 1.80000+ 1 2.70000+ 1 3.96644- 4 4.14850- 4 1.80000+ 1 2.90000+ 1 1.14964- 4 4.23040- 4 1.80000+ 1 3.00000+ 1 5.17382- 4 4.23750- 4 1.90000+ 1 1.90000+ 1 7.90972- 3 3.31550- 4 1.90000+ 1 2.10000+ 1 2.11927- 1 3.97800- 4 1.90000+ 1 2.20000+ 1 8.43851- 3 3.99110- 4 1.90000+ 1 2.70000+ 1 4.59879- 4 4.23750- 4 1.90000+ 1 2.90000+ 1 5.40343- 4 4.31940- 4 1.90000+ 1 3.00000+ 1 4.02365- 4 4.32650- 4 2.10000+ 1 2.10000+ 1 1.45821- 1 4.64050- 4 2.10000+ 1 2.20000+ 1 2.99776- 1 4.65360- 4 2.10000+ 1 2.70000+ 1 1.27160- 2 4.90000- 4 2.10000+ 1 2.90000+ 1 3.42615- 3 4.98190- 4 2.10000+ 1 3.00000+ 1 7.03603- 3 4.98900- 4 2.20000+ 1 2.20000+ 1 4.99509- 3 4.66670- 4 2.20000+ 1 2.70000+ 1 1.09213- 3 4.91310- 4 2.20000+ 1 2.90000+ 1 2.12681- 4 4.99500- 4 2.20000+ 1 3.00000+ 1 2.29924- 4 5.00210- 4 2.70000+ 1 2.90000+ 1 1.14959- 5 5.24140- 4 2.70000+ 1 3.00000+ 1 1.14959- 5 5.24850- 4 2.90000+ 1 3.00000+ 1 1.72458- 5 5.33040- 4 3.00000+ 1 3.00000+ 1 5.74824- 6 5.33750- 4 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.19460- 3 4.29730- 4 3.00000+ 1 4.50310- 5 5.30830- 4 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 3.92795- 4 2.21310- 4 1.60000+ 1 1.80000+ 1 4.17274- 3 2.62560- 4 1.60000+ 1 1.90000+ 1 1.25250- 2 2.71460- 4 1.60000+ 1 2.10000+ 1 1.40556- 2 3.37710- 4 1.60000+ 1 2.20000+ 1 1.32044- 1 3.39020- 4 1.60000+ 1 2.70000+ 1 6.26221- 5 3.63660- 4 1.60000+ 1 2.90000+ 1 7.40070- 5 3.71850- 4 1.60000+ 1 3.00000+ 1 3.13105- 4 3.72560- 4 1.80000+ 1 1.80000+ 1 5.69289- 6 3.03810- 4 1.80000+ 1 1.90000+ 1 1.95778- 2 3.12710- 4 1.80000+ 1 2.10000+ 1 1.63386- 3 3.78960- 4 1.80000+ 1 2.20000+ 1 1.17916- 1 3.80270- 4 1.80000+ 1 2.70000+ 1 2.44794- 4 4.04910- 4 1.80000+ 1 3.00000+ 1 5.12359- 4 4.13810- 4 1.90000+ 1 1.90000+ 1 1.39812- 2 3.21610- 4 1.90000+ 1 2.10000+ 1 1.08670- 2 3.87860- 4 1.90000+ 1 2.20000+ 1 1.95012- 1 3.89170- 4 1.90000+ 1 2.70000+ 1 7.05885- 4 4.13810- 4 1.90000+ 1 2.90000+ 1 5.06657- 4 4.22000- 4 1.90000+ 1 3.00000+ 1 7.57118- 4 4.22710- 4 2.10000+ 1 2.10000+ 1 2.04946- 3 4.54110- 4 2.10000+ 1 2.20000+ 1 2.07143- 1 4.55420- 4 2.10000+ 1 2.70000+ 1 7.96982- 4 4.80060- 4 2.10000+ 1 2.90000+ 1 5.69277- 5 4.88250- 4 2.10000+ 1 3.00000+ 1 2.73244- 4 4.88960- 4 2.20000+ 1 2.20000+ 1 2.39387- 1 4.56730- 4 2.20000+ 1 2.70000+ 1 1.30533- 2 4.81370- 4 2.20000+ 1 2.90000+ 1 4.08737- 3 4.89560- 4 2.20000+ 1 3.00000+ 1 6.51250- 3 4.90270- 4 2.70000+ 1 2.90000+ 1 5.69294- 6 5.14200- 4 2.70000+ 1 3.00000+ 1 1.70791- 5 5.14910- 4 2.90000+ 1 3.00000+ 1 1.13860- 5 5.23100- 4 3.00000+ 1 3.00000+ 1 5.69280- 6 5.23810- 4 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.11008- 5 4.12500- 5 1.90000+ 1 3.55055- 5 5.01500- 5 2.90000+ 1 2.45802- 6 1.50540- 4 3.00000+ 1 2.21759- 6 1.51250- 4 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10000+ 1 1.23647- 2 0.00000+ 0 1.80000+ 1 2.20000+ 1 5.29858- 2 6.90000- 7 1.80000+ 1 2.70000+ 1 2.36331- 2 2.53300- 5 1.80000+ 1 2.90000+ 1 5.60013- 3 3.35200- 5 1.80000+ 1 3.00000+ 1 1.36663- 2 3.42300- 5 1.90000+ 1 2.10000+ 1 3.19771- 1 8.28000- 6 1.90000+ 1 2.20000+ 1 3.92784- 1 9.59000- 6 1.90000+ 1 2.70000+ 1 2.28346- 2 3.42300- 5 1.90000+ 1 2.90000+ 1 8.27216- 3 4.24200- 5 1.90000+ 1 3.00000+ 1 1.12279- 2 4.31300- 5 2.10000+ 1 2.10000+ 1 2.62288- 3 7.45300- 5 2.10000+ 1 2.20000+ 1 5.96203- 2 7.58400- 5 2.10000+ 1 2.70000+ 1 1.40458- 2 1.00480- 4 2.10000+ 1 2.90000+ 1 5.99395- 4 1.08670- 4 2.10000+ 1 3.00000+ 1 4.56870- 3 1.09380- 4 2.20000+ 1 2.20000+ 1 8.36742- 3 7.71500- 5 2.20000+ 1 2.70000+ 1 9.16607- 3 1.01790- 4 2.20000+ 1 2.90000+ 1 1.69897- 3 1.09980- 4 2.20000+ 1 3.00000+ 1 1.57855- 3 1.10690- 4 2.70000+ 1 2.70000+ 1 1.26954- 2 1.26430- 4 2.70000+ 1 2.90000+ 1 5.66860- 3 1.34620- 4 2.70000+ 1 3.00000+ 1 9.95204- 3 1.35330- 4 2.90000+ 1 3.00000+ 1 4.14270- 3 1.43520- 4 3.00000+ 1 3.00000+ 1 2.08160- 3 1.44230- 4 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 5.11183- 5 7.51500- 5 2.70000+ 1 5.06973- 6 1.01100- 4 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 1.50626- 3 1.17000- 6 1.90000+ 1 3.00000+ 1 2.40366- 3 1.88000- 6 2.10000+ 1 2.10000+ 1 1.61216- 1 3.32800- 5 2.10000+ 1 2.20000+ 1 7.75450- 1 3.45900- 5 2.10000+ 1 2.70000+ 1 1.35479- 2 5.92300- 5 2.10000+ 1 2.90000+ 1 3.91809- 3 6.74200- 5 2.10000+ 1 3.00000+ 1 7.94367- 3 6.81300- 5 2.20000+ 1 2.20000+ 1 2.70941- 2 3.59000- 5 2.20000+ 1 2.70000+ 1 1.50765- 3 6.05400- 5 2.20000+ 1 2.90000+ 1 4.13725- 3 6.87300- 5 2.20000+ 1 3.00000+ 1 8.43212- 4 6.94400- 5 2.70000+ 1 2.70000+ 1 9.35485- 6 8.51800- 5 2.70000+ 1 2.90000+ 1 2.12621- 4 9.33700- 5 2.70000+ 1 3.00000+ 1 2.36753- 5 9.40800- 5 2.90000+ 1 3.00000+ 1 1.28421- 4 1.02270- 4 3.00000+ 1 3.00000+ 1 2.77181- 6 1.02980- 4 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.32730- 6 6.62500- 5 2.20000+ 1 1.30310- 5 6.75600- 5 2.70000+ 1 1.93160- 6 9.22000- 5 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 2.30506- 2 2.43800- 5 2.10000+ 1 2.20000+ 1 5.79528- 1 2.56900- 5 2.10000+ 1 2.70000+ 1 1.90107- 3 5.03300- 5 2.10000+ 1 2.90000+ 1 6.20917- 4 5.85200- 5 2.10000+ 1 3.00000+ 1 2.95853- 3 5.92300- 5 2.20000+ 1 2.20000+ 1 3.68928- 1 2.70000- 5 2.20000+ 1 2.70000+ 1 1.10160- 2 5.16400- 5 2.20000+ 1 2.90000+ 1 4.38568- 3 5.98300- 5 2.20000+ 1 3.00000+ 1 7.27995- 3 6.05400- 5 2.70000+ 1 2.90000+ 1 1.16647- 5 8.44700- 5 2.70000+ 1 3.00000+ 1 1.84475- 4 8.51800- 5 2.90000+ 1 3.00000+ 1 6.20029- 5 9.33700- 5 3.00000+ 1 3.00000+ 1 5.64400- 5 9.40800- 5 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 2.90219- 8 3.41400- 5 3.00000+ 1 5.08028- 9 3.48500- 5 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 2.38722- 1 1.00300- 5 2.70000+ 1 2.90000+ 1 3.18124- 1 1.82200- 5 2.70000+ 1 3.00000+ 1 3.10501- 1 1.89300- 5 2.90000+ 1 3.00000+ 1 1.21620- 1 2.71200- 5 3.00000+ 1 3.00000+ 1 1.10330- 2 2.78300- 5 1 51000 0 7 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.55699- 8 3.35400- 5 1 51000 0 9 1.21750+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 2.77392- 1 8.72000- 6 2.70000+ 1 2.90000+ 1 1.59951- 1 1.69100- 5 2.70000+ 1 3.00000+ 1 4.64135- 1 1.76200- 5 2.90000+ 1 3.00000+ 1 4.45559- 2 2.58100- 5 3.00000+ 1 3.00000+ 1 5.39659- 2 2.65200- 5 1 52000 0 0 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 1.33000+ 0 3.00000+ 1 2.67000+ 0 1 52000 0 0 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.18050- 2 3.00000+ 0 4.91420- 3 5.00000+ 0 4.61820- 3 6.00000+ 0 4.33970- 3 8.00000+ 0 9.91080- 4 1.00000+ 1 8.67090- 4 1.10000+ 1 8.14850- 4 1.30000+ 1 5.93740- 4 1.40000+ 1 5.82740- 4 1.60000+ 1 1.74330- 4 1.80000+ 1 1.30970- 4 1.90000+ 1 1.20920- 4 2.10000+ 1 5.07100- 5 2.20000+ 1 4.91800- 5 2.70000+ 1 1.84500- 5 2.90000+ 1 9.23000- 6 3.00000+ 1 8.31000- 6 1 52000 0 0 1.27600+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.05350- 2 3.00000+ 0 8.81120- 3 5.00000+ 0 8.82020- 3 6.00000+ 0 7.80680- 3 8.00000+ 0 2.55560- 3 1.00000+ 1 2.48740- 3 1.10000+ 1 2.26180- 3 1.30000+ 1 2.13810- 3 1.40000+ 1 2.08360- 3 1.60000+ 1 7.14470- 4 1.80000+ 1 6.46790- 4 1.90000+ 1 5.89990- 4 2.10000+ 1 4.44260- 4 2.20000+ 1 4.32210- 4 2.70000+ 1 1.18960- 4 2.90000+ 1 7.85300- 5 3.00000+ 1 6.88100- 5 1 52000 0 0 1.27600+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.46930-10 3.00000+ 0 6.29440-10 5.00000+ 0 5.30580-10 6.00000+ 0 5.59930-10 8.00000+ 0 1.69100- 9 1.00000+ 1 1.63730- 9 1.10000+ 1 1.69680- 9 1.30000+ 1 1.53960- 9 1.40000+ 1 1.55850- 9 1.60000+ 1 3.99670- 9 1.80000+ 1 4.17440- 9 1.90000+ 1 4.32110- 9 2.10000+ 1 4.94670- 9 2.20000+ 1 5.00460- 9 2.70000+ 1 1.06120- 8 2.90000+ 1 1.30410- 8 3.00000+ 1 1.37590- 8 1 52000 0 0 1.27600+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.39970- 6 3.00000+ 0 1.32310- 7 5.00000+ 0 2.22440- 7 6.00000+ 0 2.10300- 7 8.00000+ 0 2.98650- 9 1.00000+ 1 3.01140- 9 1.10000+ 1 2.95090- 9 1.30000+ 1 2.27500-10 1.40000+ 1 1.96100-10 1.60000+ 1 6.41780-11 1.80000+ 1 1.80950-10 1.90000+ 1 1.42860-10 2.10000+ 1 2.78140-12 2.20000+ 1 2.42620-12 1 52000 0 0 1.27600+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.23590- 6 3.00000+ 0 3.13920- 6 5.00000+ 0 2.58980- 6 6.00000+ 0 2.37730- 6 8.00000+ 0 1.31970- 5 1.00000+ 1 4.63660- 6 1.10000+ 1 5.05230- 6 1.30000+ 1 5.14620- 7 1.40000+ 1 5.18280- 7 1.60000+ 1 1.34370- 5 1.80000+ 1 2.52030- 5 1.90000+ 1 3.60790- 5 2.10000+ 1 1.74660- 7 2.20000+ 1 1.95120- 7 1 52000 0 0 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.72983- 4 3.00000+ 0 1.98567- 4 5.00000+ 0 1.67470- 4 6.00000+ 0 1.59542- 4 8.00000+ 0 1.49002- 4 1.00000+ 1 1.21179- 4 1.10000+ 1 1.17779- 4 1.30000+ 1 7.12508- 5 1.40000+ 1 7.18669- 5 1.60000+ 1 7.19572- 5 1.80000+ 1 5.38028- 5 1.90000+ 1 5.41041- 5 2.10000+ 1 2.69837- 5 2.20000+ 1 2.74502- 5 2.70000+ 1 1.84500- 5 2.90000+ 1 9.23000- 6 3.00000+ 1 8.31000- 6 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.61051- 1 3.00000+ 0 8.87899- 2 5.00000+ 0 9.68239- 2 6.00000+ 0 8.44709- 2 8.00000+ 0 3.03770- 3 1.00000+ 1 3.22841- 3 1.10000+ 1 3.04180- 3 1.30000+ 1 1.66994- 3 1.40000+ 1 1.52806- 3 1.60000+ 1 8.22198- 5 1.80000+ 1 7.05175- 5 1.90000+ 1 2.07627- 5 2.10000+ 1 1.06070- 7 2.20000+ 1 1.10200- 7 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.49388- 2 3.00000+ 0 3.44145- 4 5.00000+ 0 3.76983- 4 6.00000+ 0 3.07804- 4 8.00000+ 0 1.77537- 6 1.00000+ 1 1.81140- 6 1.10000+ 1 1.71107- 6 1.30000+ 1 7.75507- 7 1.40000+ 1 7.03947- 7 1.60000+ 1 5.79234- 9 1.80000+ 1 5.87928- 9 1.90000+ 1 1.56293- 9 2.10000+ 1 4.41424-12 2.20000+ 1 4.50388-12 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.17091+ 1 3.00000+ 0 1.35874+ 1 5.00000+ 0 1.13135+ 1 6.00000+ 0 1.07157+ 1 8.00000+ 0 9.96113+ 0 1.00000+ 1 7.91357+ 0 1.10000+ 1 7.64713+ 0 1.30000+ 1 4.25155+ 0 1.40000+ 1 4.26536+ 0 1.60000+ 1 4.28366+ 0 1.80000+ 1 2.96364+ 0 1.90000+ 1 2.96673+ 0 2.10000+ 1 1.00000+ 0 2.20000+ 1 1.00000+ 0 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.69320- 3 3.00000+ 0 4.37149- 3 5.00000+ 0 4.07375- 3 6.00000+ 0 3.87235- 3 8.00000+ 0 8.40302- 4 1.00000+ 1 7.44099- 4 1.10000+ 1 6.95360- 4 1.30000+ 1 5.21714- 4 1.40000+ 1 5.10169- 4 1.60000+ 1 1.02367- 4 1.80000+ 1 7.71613- 5 1.90000+ 1 6.68143- 5 2.10000+ 1 2.37263- 5 2.20000+ 1 2.17298- 5 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.52440- 1 2.71868- 2 6.00000+ 0 4.69940- 1 2.74653- 2 1.00000+ 1 4.32710- 2 3.09379- 2 1.10000+ 1 8.39200- 2 3.09901- 2 1.30000+ 1 3.86150- 4 3.12113- 2 1.40000+ 1 5.30980- 4 3.12223- 2 1.80000+ 1 8.96460- 3 3.16740- 2 1.90000+ 1 1.76190- 2 3.16841- 2 2.10000+ 1 6.50000- 5 3.17543- 2 2.20000+ 1 8.90040- 5 3.17558- 2 2.90000+ 1 5.13610- 4 3.17958- 2 3.00000+ 1 9.49710- 4 3.17967- 2 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 9.39283- 3 2.19766- 2 3.00000+ 0 5.00000+ 0 1.11329- 2 2.22726- 2 3.00000+ 0 6.00000+ 0 1.39553- 2 2.25511- 2 3.00000+ 0 8.00000+ 0 3.32387- 3 2.58997- 2 3.00000+ 0 1.00000+ 1 2.10360- 3 2.60237- 2 3.00000+ 0 1.10000+ 1 2.65978- 3 2.60759- 2 3.00000+ 0 1.30000+ 1 1.75221- 4 2.62971- 2 3.00000+ 0 1.40000+ 1 1.94176- 4 2.63081- 2 3.00000+ 0 1.60000+ 1 7.03015- 4 2.67165- 2 3.00000+ 0 1.80000+ 1 4.16144- 4 2.67598- 2 3.00000+ 0 1.90000+ 1 5.22450- 4 2.67699- 2 3.00000+ 0 2.10000+ 1 2.99158- 5 2.68401- 2 3.00000+ 0 2.20000+ 1 3.28538- 5 2.68416- 2 3.00000+ 0 2.70000+ 1 9.82943- 5 2.68723- 2 3.00000+ 0 2.90000+ 1 2.96481- 5 2.68816- 2 3.00000+ 0 3.00000+ 1 3.60574- 5 2.68825- 2 5.00000+ 0 5.00000+ 0 1.42729- 3 2.25686- 2 5.00000+ 0 6.00000+ 0 3.03647- 2 2.28471- 2 5.00000+ 0 8.00000+ 0 1.63254- 3 2.61957- 2 5.00000+ 0 1.00000+ 1 4.83445- 4 2.63197- 2 5.00000+ 0 1.10000+ 1 4.82887- 3 2.63719- 2 5.00000+ 0 1.30000+ 1 2.13404- 4 2.65931- 2 5.00000+ 0 1.40000+ 1 7.19568- 4 2.66041- 2 5.00000+ 0 1.60000+ 1 3.32270- 4 2.70125- 2 5.00000+ 0 1.80000+ 1 9.40179- 5 2.70558- 2 5.00000+ 0 1.90000+ 1 9.17753- 4 2.70659- 2 5.00000+ 0 2.10000+ 1 3.57902- 5 2.71361- 2 5.00000+ 0 2.20000+ 1 1.20463- 4 2.71376- 2 5.00000+ 0 2.70000+ 1 4.62079- 5 2.71683- 2 5.00000+ 0 2.90000+ 1 6.67744- 6 2.71776- 2 5.00000+ 0 3.00000+ 1 6.30346- 5 2.71785- 2 6.00000+ 0 6.00000+ 0 1.53173- 2 2.31256- 2 6.00000+ 0 8.00000+ 0 2.00997- 3 2.64742- 2 6.00000+ 0 1.00000+ 1 4.71997- 3 2.65982- 2 6.00000+ 0 1.10000+ 1 5.00070- 3 2.66504- 2 6.00000+ 0 1.30000+ 1 8.60596- 4 2.68716- 2 6.00000+ 0 1.40000+ 1 7.95691- 4 2.68826- 2 6.00000+ 0 1.60000+ 1 4.07868- 4 2.72910- 2 6.00000+ 0 1.80000+ 1 9.02006- 4 2.73343- 2 6.00000+ 0 1.90000+ 1 9.55985- 4 2.73444- 2 6.00000+ 0 2.10000+ 1 1.44764- 4 2.74146- 2 6.00000+ 0 2.20000+ 1 1.33282- 4 2.74161- 2 6.00000+ 0 2.70000+ 1 5.66262- 5 2.74468- 2 6.00000+ 0 2.90000+ 1 6.35698- 5 2.74561- 2 6.00000+ 0 3.00000+ 1 6.57065- 5 2.74570- 2 8.00000+ 0 8.00000+ 0 2.89546- 4 2.98228- 2 8.00000+ 0 1.00000+ 1 3.11452- 4 2.99468- 2 8.00000+ 0 1.10000+ 1 3.86244- 4 2.99991- 2 8.00000+ 0 1.30000+ 1 2.40398- 5 3.02202- 2 8.00000+ 0 1.40000+ 1 2.56421- 5 3.02312- 2 8.00000+ 0 1.60000+ 1 1.22057- 4 3.06396- 2 8.00000+ 0 1.80000+ 1 6.17022- 5 3.06829- 2 8.00000+ 0 1.90000+ 1 7.61260- 5 3.06930- 2 8.00000+ 0 2.10000+ 1 4.00660- 6 3.07632- 2 8.00000+ 0 2.20000+ 1 4.27372- 6 3.07647- 2 8.00000+ 0 2.70000+ 1 1.70950- 5 3.07955- 2 8.00000+ 0 2.90000+ 1 4.27372- 6 3.08047- 2 8.00000+ 0 3.00000+ 1 5.34210- 6 3.08056- 2 1.00000+ 1 1.00000+ 1 3.92634- 5 3.00708- 2 1.00000+ 1 1.10000+ 1 7.62832- 4 3.01231- 2 1.00000+ 1 1.30000+ 1 2.61746- 5 3.03442- 2 1.00000+ 1 1.40000+ 1 8.76079- 5 3.03552- 2 1.00000+ 1 1.60000+ 1 6.35690- 5 3.07636- 2 1.00000+ 1 1.80000+ 1 1.52235- 5 3.08069- 2 1.00000+ 1 1.90000+ 1 1.45302- 4 3.08170- 2 1.00000+ 1 2.10000+ 1 4.27357- 6 3.08872- 2 1.00000+ 1 2.20000+ 1 1.46901- 5 3.08887- 2 1.00000+ 1 2.70000+ 1 8.81414- 6 3.09195- 2 1.00000+ 1 2.90000+ 1 1.06834- 6 3.09287- 2 1.00000+ 1 3.00000+ 1 9.88227- 6 3.09296- 2 1.10000+ 1 1.10000+ 1 4.09479- 4 3.01753- 2 1.10000+ 1 1.30000+ 1 1.11124- 4 3.03964- 2 1.10000+ 1 1.40000+ 1 1.00170- 4 3.04074- 2 1.10000+ 1 1.60000+ 1 7.85293- 5 3.08158- 2 1.10000+ 1 1.80000+ 1 1.46103- 4 3.08592- 2 1.10000+ 1 1.90000+ 1 1.56517- 4 3.08692- 2 1.10000+ 1 2.10000+ 1 1.86966- 5 3.09394- 2 1.10000+ 1 2.20000+ 1 1.68284- 5 3.09410- 2 1.10000+ 1 2.70000+ 1 1.09516- 5 3.09717- 2 1.10000+ 1 2.90000+ 1 1.04171- 5 3.09809- 2 1.10000+ 1 3.00000+ 1 1.06839- 5 3.09818- 2 1.30000+ 1 1.40000+ 1 1.27703- 5 3.06285- 2 1.30000+ 1 1.60000+ 1 4.59737- 6 3.10369- 2 1.30000+ 1 1.80000+ 1 4.59737- 6 3.10803- 2 1.30000+ 1 1.90000+ 1 1.94119- 5 3.10903- 2 1.30000+ 1 2.20000+ 1 2.04339- 6 3.11621- 2 1.30000+ 1 2.70000+ 1 7.66237- 7 3.11928- 2 1.30000+ 1 2.90000+ 1 2.55415- 7 3.12020- 2 1.30000+ 1 3.00000+ 1 1.27703- 6 3.12029- 2 1.40000+ 1 1.40000+ 1 3.15462- 6 3.06395- 2 1.40000+ 1 1.60000+ 1 4.99493- 6 3.10479- 2 1.40000+ 1 1.80000+ 1 1.57731- 5 3.10913- 2 1.40000+ 1 1.90000+ 1 1.78761- 5 3.11013- 2 1.40000+ 1 2.10000+ 1 2.10320- 6 3.11715- 2 1.40000+ 1 2.20000+ 1 1.05151- 6 3.11731- 2 1.40000+ 1 2.70000+ 1 7.88664- 7 3.12038- 2 1.40000+ 1 2.90000+ 1 1.05151- 6 3.12130- 2 1.40000+ 1 3.00000+ 1 1.31441- 6 3.12139- 2 1.60000+ 1 1.60000+ 1 1.27988- 5 3.14563- 2 1.60000+ 1 1.80000+ 1 1.25316- 5 3.14997- 2 1.60000+ 1 1.90000+ 1 1.54652- 5 3.15097- 2 1.60000+ 1 2.10000+ 1 7.99897- 7 3.15800- 2 1.60000+ 1 2.20000+ 1 7.99897- 7 3.15815- 2 1.60000+ 1 2.70000+ 1 3.46629- 6 3.16122- 2 1.60000+ 1 2.90000+ 1 7.99897- 7 3.16214- 2 1.60000+ 1 3.00000+ 1 1.06648- 6 3.16224- 2 1.80000+ 1 1.80000+ 1 1.25236- 6 3.15431- 2 1.80000+ 1 1.90000+ 1 2.60494- 5 3.15531- 2 1.80000+ 1 2.10000+ 1 7.51433- 7 3.16233- 2 1.80000+ 1 2.20000+ 1 2.50480- 6 3.16248- 2 1.80000+ 1 2.70000+ 1 1.75325- 6 3.16556- 2 1.80000+ 1 2.90000+ 1 2.50480- 7 3.16648- 2 1.80000+ 1 3.00000+ 1 1.75325- 6 3.16657- 2 1.90000+ 1 1.90000+ 1 1.43594- 5 3.15632- 2 1.90000+ 1 2.10000+ 1 3.33363- 6 3.16334- 2 1.90000+ 1 2.20000+ 1 3.07709- 6 3.16349- 2 1.90000+ 1 2.70000+ 1 2.05151- 6 3.16656- 2 1.90000+ 1 2.90000+ 1 1.79490- 6 3.16748- 2 1.90000+ 1 3.00000+ 1 2.05151- 6 3.16758- 2 2.10000+ 1 2.20000+ 1 3.86415- 7 3.17051- 2 2.10000+ 1 3.00000+ 1 3.86415- 7 3.17460- 2 2.20000+ 1 2.90000+ 1 2.67100- 7 3.17466- 2 2.20000+ 1 3.00000+ 1 2.67100- 7 3.17475- 2 2.70000+ 1 2.70000+ 1 2.94705- 7 3.17681- 2 2.70000+ 1 3.00000+ 1 2.94705- 7 3.17782- 2 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.01439- 5 2.96000- 4 6.00000+ 0 3.19129- 4 5.74500- 4 1.00000+ 1 1.24479- 2 4.04711- 3 1.10000+ 1 1.99389- 2 4.09935- 3 1.30000+ 1 1.71069- 4 4.32046- 3 1.40000+ 1 2.55459- 4 4.33146- 3 1.80000+ 1 2.56269- 3 4.78323- 3 1.90000+ 1 4.19368- 3 4.79328- 3 2.10000+ 1 1.91949- 5 4.86349- 3 2.20000+ 1 2.90409- 5 4.86502- 3 2.90000+ 1 1.61129- 4 4.90497- 3 3.00000+ 1 2.52049- 4 4.90589- 3 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.70459- 2 1.21670- 4 5.00000+ 0 1.80000+ 1 4.08716- 2 1.65030- 4 5.00000+ 0 1.90000+ 1 5.30226- 2 1.75080- 4 5.00000+ 0 2.10000+ 1 1.28041- 2 2.45290- 4 5.00000+ 0 2.20000+ 1 2.06398- 2 2.46820- 4 5.00000+ 0 2.70000+ 1 7.74327- 3 2.77550- 4 5.00000+ 0 2.90000+ 1 2.74913- 3 2.86770- 4 5.00000+ 0 3.00000+ 1 3.47270- 3 2.87690- 4 6.00000+ 0 1.60000+ 1 7.60230- 2 4.00170- 4 6.00000+ 0 1.80000+ 1 3.37247- 2 4.43530- 4 6.00000+ 0 1.90000+ 1 6.41962- 2 4.53580- 4 6.00000+ 0 2.10000+ 1 5.78676- 2 5.23790- 4 6.00000+ 0 2.20000+ 1 7.44849- 2 5.25320- 4 6.00000+ 0 2.70000+ 1 1.03168- 2 5.56050- 4 6.00000+ 0 2.90000+ 1 2.30828- 3 5.65270- 4 6.00000+ 0 3.00000+ 1 4.31705- 3 5.66190- 4 8.00000+ 0 8.00000+ 0 1.35982- 2 2.93204- 3 8.00000+ 0 1.00000+ 1 2.70384- 2 3.05603- 3 8.00000+ 0 1.10000+ 1 5.02537- 2 3.10827- 3 8.00000+ 0 1.30000+ 1 4.02627- 2 3.32938- 3 8.00000+ 0 1.40000+ 1 5.71383- 2 3.34038- 3 8.00000+ 0 1.60000+ 1 4.92356- 3 3.74879- 3 8.00000+ 0 1.80000+ 1 5.24639- 3 3.79215- 3 8.00000+ 0 1.90000+ 1 9.65979- 3 3.80220- 3 8.00000+ 0 2.10000+ 1 5.89845- 3 3.87241- 3 8.00000+ 0 2.20000+ 1 8.31587- 3 3.87394- 3 8.00000+ 0 2.70000+ 1 6.75433- 4 3.90467- 3 8.00000+ 0 2.90000+ 1 3.71815- 4 3.91389- 3 8.00000+ 0 3.00000+ 1 6.66301- 4 3.91481- 3 1.00000+ 1 1.00000+ 1 1.57204- 4 3.18002- 3 1.00000+ 1 1.10000+ 1 1.08889- 3 3.23226- 3 1.00000+ 1 1.30000+ 1 1.12119- 3 3.45337- 3 1.00000+ 1 1.40000+ 1 1.47842- 2 3.46437- 3 1.00000+ 1 1.60000+ 1 3.93705- 3 3.87278- 3 1.00000+ 1 1.80000+ 1 3.16087- 5 3.91614- 3 1.00000+ 1 1.90000+ 1 1.97977- 4 3.92619- 3 1.00000+ 1 2.10000+ 1 1.68035- 4 3.99640- 3 1.00000+ 1 2.20000+ 1 1.44732- 3 3.99793- 3 1.00000+ 1 2.70000+ 1 5.17395- 4 4.02866- 3 1.00000+ 1 2.90000+ 1 1.66365- 6 4.03788- 3 1.00000+ 1 3.00000+ 1 1.33091- 5 4.03880- 3 1.10000+ 1 1.10000+ 1 1.16700- 3 3.28450- 3 1.10000+ 1 1.30000+ 1 1.06449- 2 3.50561- 3 1.10000+ 1 1.40000+ 1 7.27251- 3 3.51661- 3 1.10000+ 1 1.60000+ 1 7.31671- 3 3.92502- 3 1.10000+ 1 1.80000+ 1 1.97976- 4 3.96838- 3 1.10000+ 1 1.90000+ 1 3.44370- 4 3.97843- 3 1.10000+ 1 2.10000+ 1 9.17477- 4 4.04864- 3 1.10000+ 1 2.20000+ 1 6.54645- 4 4.05017- 3 1.10000+ 1 2.70000+ 1 9.60691- 4 4.08090- 3 1.10000+ 1 2.90000+ 1 1.41412- 5 4.09012- 3 1.10000+ 1 3.00000+ 1 2.24589- 5 4.09104- 3 1.30000+ 1 1.30000+ 1 2.26164- 3 3.72672- 3 1.30000+ 1 1.40000+ 1 8.23034- 2 3.73772- 3 1.30000+ 1 1.60000+ 1 5.56967- 3 4.14613- 3 1.30000+ 1 1.80000+ 1 2.82808- 4 4.18949- 3 1.30000+ 1 1.90000+ 1 2.05794- 3 4.19954- 3 1.30000+ 1 2.10000+ 1 6.57114- 4 4.26975- 3 1.30000+ 1 2.20000+ 1 8.87778- 3 4.27128- 3 1.30000+ 1 2.70000+ 1 7.26168- 4 4.30201- 3 1.30000+ 1 2.90000+ 1 2.07954- 5 4.31123- 3 1.30000+ 1 3.00000+ 1 1.42239- 4 4.31215- 3 1.40000+ 1 1.40000+ 1 2.32085- 2 3.74872- 3 1.40000+ 1 1.60000+ 1 7.94702- 3 4.15713- 3 1.40000+ 1 1.80000+ 1 2.62187- 3 4.20049- 3 1.40000+ 1 1.90000+ 1 1.47559- 3 4.21054- 3 1.40000+ 1 2.10000+ 1 8.80878- 3 4.28075- 3 1.40000+ 1 2.20000+ 1 5.23035- 3 4.28228- 3 1.40000+ 1 2.70000+ 1 1.03727- 3 4.31301- 3 1.40000+ 1 2.90000+ 1 1.83002- 4 4.32223- 3 1.40000+ 1 3.00000+ 1 1.02317- 4 4.32315- 3 1.60000+ 1 1.60000+ 1 4.23377- 4 4.56554- 3 1.60000+ 1 1.80000+ 1 7.65258- 4 4.60890- 3 1.60000+ 1 1.90000+ 1 1.40909- 3 4.61895- 3 1.60000+ 1 2.10000+ 1 8.13500- 4 4.68916- 3 1.60000+ 1 2.20000+ 1 1.15037- 3 4.69069- 3 1.60000+ 1 2.70000+ 1 1.14787- 4 4.72142- 3 1.60000+ 1 2.90000+ 1 5.40664- 5 4.73064- 3 1.60000+ 1 3.00000+ 1 9.73242- 5 4.73156- 3 1.80000+ 1 1.80000+ 1 1.66363- 6 4.65226- 3 1.80000+ 1 1.90000+ 1 3.66009- 5 4.66231- 3 1.80000+ 1 2.10000+ 1 3.57698- 5 4.73252- 3 1.80000+ 1 2.20000+ 1 2.64510- 4 4.73405- 3 1.80000+ 1 2.70000+ 1 1.00648- 4 4.76478- 3 1.80000+ 1 3.00000+ 1 2.49539- 6 4.77492- 3 1.90000+ 1 1.90000+ 1 2.57859- 5 4.67236- 3 1.90000+ 1 2.10000+ 1 1.87154- 4 4.74257- 3 1.90000+ 1 2.20000+ 1 1.38080- 4 4.74410- 3 1.90000+ 1 2.70000+ 1 1.84664- 4 4.77483- 3 1.90000+ 1 2.90000+ 1 2.49539- 6 4.78405- 3 1.90000+ 1 3.00000+ 1 3.32717- 6 4.78497- 3 2.10000+ 1 2.10000+ 1 4.49202- 5 4.81278- 3 2.10000+ 1 2.20000+ 1 1.01152- 3 4.81431- 3 2.10000+ 1 2.70000+ 1 1.05652- 4 4.84504- 3 2.10000+ 1 2.90000+ 1 2.49548- 6 4.85426- 3 2.10000+ 1 3.00000+ 1 1.33095- 5 4.85518- 3 2.20000+ 1 2.20000+ 1 3.10274- 4 4.81584- 3 2.20000+ 1 2.70000+ 1 1.49721- 4 4.84657- 3 2.20000+ 1 2.90000+ 1 1.83004- 5 4.85579- 3 2.20000+ 1 3.00000+ 1 9.98210- 6 4.85671- 3 2.70000+ 1 2.70000+ 1 6.23379- 6 4.87730- 3 2.70000+ 1 2.90000+ 1 6.23379- 6 4.88652- 3 2.70000+ 1 3.00000+ 1 1.03893- 5 4.88744- 3 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 4.56125- 8 2.78500- 4 8.00000+ 0 3.83474- 3 3.62712- 3 1.10000+ 1 5.22925- 5 3.80335- 3 1.30000+ 1 6.57057- 2 4.02446- 3 1.60000+ 1 5.07455- 4 4.44387- 3 1.90000+ 1 5.52046- 6 4.49728- 3 2.10000+ 1 8.93779- 3 4.56749- 3 2.70000+ 1 5.29715- 5 4.59975- 3 3.00000+ 1 3.32173- 7 4.60989- 3 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.18057- 2 1.04170- 4 6.00000+ 0 1.80000+ 1 5.08536- 2 1.47530- 4 6.00000+ 0 1.90000+ 1 1.78731- 2 1.57580- 4 6.00000+ 0 2.10000+ 1 6.35534- 2 2.27790- 4 6.00000+ 0 2.20000+ 1 2.36704- 2 2.29320- 4 6.00000+ 0 2.70000+ 1 1.49714- 3 2.60050- 4 6.00000+ 0 2.90000+ 1 3.42698- 3 2.69270- 4 6.00000+ 0 3.00000+ 1 1.22138- 3 2.70190- 4 8.00000+ 0 8.00000+ 0 1.05585- 3 2.63604- 3 8.00000+ 0 1.00000+ 1 2.53181- 2 2.76003- 3 8.00000+ 0 1.10000+ 1 2.46989- 3 2.81227- 3 8.00000+ 0 1.30000+ 1 1.82424- 3 3.03338- 3 8.00000+ 0 1.40000+ 1 3.61006- 3 3.04438- 3 8.00000+ 0 1.60000+ 1 3.56165- 4 3.45279- 3 8.00000+ 0 1.80000+ 1 3.39701- 3 3.49615- 3 8.00000+ 0 1.90000+ 1 4.21961- 4 3.50620- 3 8.00000+ 0 2.10000+ 1 1.97437- 4 3.57641- 3 8.00000+ 0 2.20000+ 1 3.34860- 4 3.57794- 3 8.00000+ 0 2.70000+ 1 4.83896- 5 3.60867- 3 8.00000+ 0 2.90000+ 1 2.27434- 4 3.61789- 3 8.00000+ 0 3.00000+ 1 2.90340- 5 3.61881- 3 1.00000+ 1 1.00000+ 1 2.48478- 2 2.88402- 3 1.00000+ 1 1.10000+ 1 7.83041- 2 2.93626- 3 1.00000+ 1 1.30000+ 1 4.25589- 2 3.15737- 3 1.00000+ 1 1.40000+ 1 7.30088- 2 3.16837- 3 1.00000+ 1 1.60000+ 1 5.45957- 3 3.57678- 3 1.00000+ 1 1.80000+ 1 8.28921- 3 3.62014- 3 1.00000+ 1 1.90000+ 1 1.47874- 2 3.63019- 3 1.00000+ 1 2.10000+ 1 6.21703- 3 3.70040- 3 1.00000+ 1 2.20000+ 1 1.06515- 2 3.70193- 3 1.00000+ 1 2.70000+ 1 7.66507- 4 3.73266- 3 1.00000+ 1 2.90000+ 1 5.74863- 4 3.74188- 3 1.00000+ 1 3.00000+ 1 1.01714- 3 3.74280- 3 1.10000+ 1 1.10000+ 1 2.06732- 3 2.98850- 3 1.10000+ 1 1.30000+ 1 5.13028- 2 3.20961- 3 1.10000+ 1 1.40000+ 1 6.90331- 3 3.22061- 3 1.10000+ 1 1.60000+ 1 4.58754- 4 3.62902- 3 1.10000+ 1 1.80000+ 1 1.09037- 2 3.67238- 3 1.10000+ 1 1.90000+ 1 6.60063- 4 3.68243- 3 1.10000+ 1 2.10000+ 1 6.46790- 3 3.75264- 3 1.10000+ 1 2.20000+ 1 8.13932- 4 3.75417- 3 1.10000+ 1 2.70000+ 1 6.29086- 5 3.78490- 3 1.10000+ 1 2.90000+ 1 7.33612- 4 3.79412- 3 1.10000+ 1 3.00000+ 1 4.45201- 5 3.79504- 3 1.30000+ 1 1.30000+ 1 4.68779- 2 3.43072- 3 1.30000+ 1 1.40000+ 1 2.01611- 1 3.44172- 3 1.30000+ 1 1.60000+ 1 3.98751- 4 3.85013- 3 1.30000+ 1 1.80000+ 1 5.93950- 3 3.89349- 3 1.30000+ 1 1.90000+ 1 9.17011- 3 3.90354- 3 1.30000+ 1 2.10000+ 1 1.17870- 2 3.97375- 3 1.30000+ 1 2.20000+ 1 2.70158- 2 3.97528- 3 1.30000+ 1 2.70000+ 1 5.61332- 5 4.00601- 3 1.30000+ 1 2.90000+ 1 4.01632- 4 4.01523- 3 1.30000+ 1 3.00000+ 1 6.25207- 4 4.01615- 3 1.40000+ 1 1.40000+ 1 9.59544- 3 3.45272- 3 1.40000+ 1 1.60000+ 1 6.55226- 4 3.86113- 3 1.40000+ 1 1.80000+ 1 9.09751- 3 3.90449- 3 1.40000+ 1 1.90000+ 1 1.13039- 3 3.91454- 3 1.40000+ 1 2.10000+ 1 2.16485- 2 3.98475- 3 1.40000+ 1 2.20000+ 1 2.34790- 3 3.98628- 3 1.40000+ 1 2.70000+ 1 8.90396- 5 4.01701- 3 1.40000+ 1 2.90000+ 1 6.01983- 4 4.02623- 3 1.40000+ 1 3.00000+ 1 7.64564- 5 4.02715- 3 1.60000+ 1 1.60000+ 1 3.27157- 5 4.26954- 3 1.60000+ 1 1.80000+ 1 8.29890- 4 4.31290- 3 1.60000+ 1 1.90000+ 1 8.83347- 5 4.32295- 3 1.60000+ 1 2.10000+ 1 4.68944- 5 4.39316- 3 1.60000+ 1 2.20000+ 1 6.97942- 5 4.39469- 3 1.60000+ 1 2.70000+ 1 8.72437- 6 4.42542- 3 1.60000+ 1 2.90000+ 1 5.56157- 5 4.43464- 3 1.60000+ 1 3.00000+ 1 6.54303- 6 4.43556- 3 1.80000+ 1 1.80000+ 1 6.29655- 4 4.35626- 3 1.80000+ 1 1.90000+ 1 1.95708- 3 4.36631- 3 1.80000+ 1 2.10000+ 1 8.11683- 4 4.43652- 3 1.80000+ 1 2.20000+ 1 1.26944- 3 4.43805- 3 1.80000+ 1 2.70000+ 1 9.83574- 5 4.46878- 3 1.80000+ 1 2.90000+ 1 8.73264- 5 4.47800- 3 1.80000+ 1 3.00000+ 1 1.34212- 4 4.47892- 3 1.90000+ 1 1.90000+ 1 5.19206- 5 4.37636- 3 1.90000+ 1 2.10000+ 1 1.13760- 3 4.44657- 3 1.90000+ 1 2.20000+ 1 1.33107- 4 4.44810- 3 1.90000+ 1 2.70000+ 1 1.03847- 5 4.47883- 3 1.90000+ 1 2.90000+ 1 1.34999- 4 4.48805- 3 1.90000+ 1 3.00000+ 1 6.60790- 6 4.48897- 3 2.10000+ 1 2.10000+ 1 7.24751- 4 4.51678- 3 2.10000+ 1 2.20000+ 1 2.94968- 3 4.51831- 3 2.10000+ 1 2.70000+ 1 5.73661- 6 4.54904- 3 2.10000+ 1 2.90000+ 1 5.73661- 5 4.55826- 3 2.10000+ 1 3.00000+ 1 7.84031- 5 4.55918- 3 2.20000+ 1 2.20000+ 1 1.43341- 4 4.51984- 3 2.20000+ 1 2.70000+ 1 8.65820- 6 4.55057- 3 2.20000+ 1 2.90000+ 1 8.75434- 5 4.55979- 3 2.20000+ 1 3.00000+ 1 9.62023- 6 4.56071- 3 2.70000+ 1 2.70000+ 1 7.55572- 7 4.58130- 3 2.70000+ 1 2.90000+ 1 5.28882- 6 4.59052- 3 2.70000+ 1 3.00000+ 1 7.55572- 7 4.59144- 3 2.90000+ 1 2.90000+ 1 2.78348- 6 4.59974- 3 2.90000+ 1 3.00000+ 1 8.35063- 6 4.60066- 3 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 6.84445- 3 3.34862- 3 1.00000+ 1 3.63287- 5 3.47261- 3 1.10000+ 1 3.39238- 5 3.52485- 3 1.30000+ 1 6.56145- 3 3.74596- 3 1.40000+ 1 5.81756- 2 3.75696- 3 1.60000+ 1 5.54526- 4 4.16537- 3 1.80000+ 1 2.74368- 6 4.20873- 3 1.90000+ 1 2.62658- 6 4.21878- 3 2.10000+ 1 8.71934- 4 4.28899- 3 2.20000+ 1 7.76025- 3 4.29052- 3 2.70000+ 1 6.83185- 5 4.32125- 3 2.90000+ 1 1.71819- 7 4.33047- 3 3.00000+ 1 1.57399- 7 4.33139- 3 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.38172- 3 2.35754- 3 8.00000+ 0 1.00000+ 1 9.99696- 4 2.48153- 3 8.00000+ 0 1.10000+ 1 2.93664- 2 2.53377- 3 8.00000+ 0 1.30000+ 1 2.91694- 3 2.75488- 3 8.00000+ 0 1.40000+ 1 3.12008- 3 2.76588- 3 8.00000+ 0 1.60000+ 1 4.67230- 4 3.17429- 3 8.00000+ 0 1.80000+ 1 1.62047- 4 3.21765- 3 8.00000+ 0 1.90000+ 1 3.93751- 3 3.22770- 3 8.00000+ 0 2.10000+ 1 2.37818- 4 3.29791- 3 8.00000+ 0 2.20000+ 1 2.36766- 4 3.29944- 3 8.00000+ 0 2.70000+ 1 6.31358- 5 3.33017- 3 8.00000+ 0 2.90000+ 1 1.15756- 5 3.33939- 3 8.00000+ 0 3.00000+ 1 2.56750- 4 3.34031- 3 1.00000+ 1 1.00000+ 1 3.34629- 4 2.60552- 3 1.00000+ 1 1.10000+ 1 4.88879- 2 2.65776- 3 1.00000+ 1 1.30000+ 1 3.33989- 3 2.87887- 3 1.00000+ 1 1.40000+ 1 2.97965- 2 2.88987- 3 1.00000+ 1 1.60000+ 1 1.82049- 4 3.29828- 3 1.00000+ 1 1.80000+ 1 1.08380- 4 3.34164- 3 1.00000+ 1 1.90000+ 1 6.78293- 3 3.35169- 3 1.00000+ 1 2.10000+ 1 4.56669- 4 3.42190- 3 1.00000+ 1 2.20000+ 1 3.55673- 3 3.42343- 3 1.00000+ 1 2.70000+ 1 2.52545- 5 3.45416- 3 1.00000+ 1 2.90000+ 1 7.36572- 6 3.46338- 3 1.00000+ 1 3.00000+ 1 4.45101- 4 3.46430- 3 1.10000+ 1 1.10000+ 1 6.89790- 2 2.71000- 3 1.10000+ 1 1.30000+ 1 7.01967- 2 2.93111- 3 1.10000+ 1 1.40000+ 1 1.06450- 1 2.94211- 3 1.10000+ 1 1.60000+ 1 6.27177- 3 3.35052- 3 1.10000+ 1 1.80000+ 1 9.11607- 3 3.39388- 3 1.10000+ 1 1.90000+ 1 2.25590- 2 3.40393- 3 1.10000+ 1 2.10000+ 1 9.91783- 3 3.47414- 3 1.10000+ 1 2.20000+ 1 1.48229- 2 3.47567- 3 1.10000+ 1 2.70000+ 1 8.79706- 4 3.50640- 3 1.10000+ 1 2.90000+ 1 6.41907- 4 3.51562- 3 1.10000+ 1 3.00000+ 1 1.52271- 3 3.51654- 3 1.30000+ 1 1.30000+ 1 1.02668- 2 3.15222- 3 1.30000+ 1 1.40000+ 1 1.97212- 1 3.16322- 3 1.30000+ 1 1.60000+ 1 5.78764- 4 3.57163- 3 1.30000+ 1 1.80000+ 1 6.19791- 4 3.61499- 3 1.30000+ 1 1.90000+ 1 9.13887- 3 3.62504- 3 1.30000+ 1 2.10000+ 1 2.58762- 3 3.69525- 3 1.30000+ 1 2.20000+ 1 2.14672- 2 3.69678- 3 1.30000+ 1 2.70000+ 1 7.99730- 5 3.72751- 3 1.30000+ 1 2.90000+ 1 4.31417- 5 3.73673- 3 1.30000+ 1 3.00000+ 1 5.94536- 4 3.73765- 3 1.40000+ 1 1.40000+ 1 1.33975- 1 3.17422- 3 1.40000+ 1 1.60000+ 1 6.60797- 4 3.58263- 3 1.40000+ 1 1.80000+ 1 5.20049- 3 3.62599- 3 1.40000+ 1 1.90000+ 1 1.54558- 2 3.63604- 3 1.40000+ 1 2.10000+ 1 2.51239- 2 3.70625- 3 1.40000+ 1 2.20000+ 1 3.23525- 2 3.70778- 3 1.40000+ 1 2.70000+ 1 9.25926- 5 3.73851- 3 1.40000+ 1 2.90000+ 1 3.61979- 4 3.74773- 3 1.40000+ 1 3.00000+ 1 1.02595- 3 3.74865- 3 1.60000+ 1 1.60000+ 1 4.49035- 5 3.99104- 3 1.60000+ 1 1.80000+ 1 3.39803- 5 4.03440- 3 1.60000+ 1 1.90000+ 1 9.73304- 4 4.04445- 3 1.60000+ 1 2.10000+ 1 5.82526- 5 4.11466- 3 1.60000+ 1 2.20000+ 1 6.06784- 5 4.11619- 3 1.60000+ 1 2.70000+ 1 1.21361- 5 4.14692- 3 1.60000+ 1 2.90000+ 1 2.42722- 6 4.15614- 3 1.60000+ 1 3.00000+ 1 6.31089- 5 4.15706- 3 1.80000+ 1 1.80000+ 1 8.00827- 6 4.07776- 3 1.80000+ 1 1.90000+ 1 1.20322- 3 4.08781- 3 1.80000+ 1 2.10000+ 1 7.90785- 5 4.15802- 3 1.80000+ 1 2.20000+ 1 6.05599- 4 4.15955- 3 1.80000+ 1 2.70000+ 1 4.00395- 6 4.19028- 3 1.80000+ 1 2.90000+ 1 1.00103- 6 4.19950- 3 1.80000+ 1 3.00000+ 1 7.90785- 5 4.20042- 3 1.90000+ 1 1.90000+ 1 1.67714- 3 4.09786- 3 1.90000+ 1 2.10000+ 1 1.21078- 3 4.16807- 3 1.90000+ 1 2.20000+ 1 1.99263- 3 4.16960- 3 1.90000+ 1 2.70000+ 1 1.11412- 4 4.20033- 3 1.90000+ 1 2.90000+ 1 8.38044- 5 4.20955- 3 1.90000+ 1 3.00000+ 1 2.25787- 4 4.21047- 3 2.10000+ 1 2.10000+ 1 1.56727- 4 4.23828- 3 2.10000+ 1 2.20000+ 1 2.77012- 3 4.23981- 3 2.10000+ 1 2.70000+ 1 7.26525- 6 4.27054- 3 2.10000+ 1 2.90000+ 1 6.22741- 6 4.27976- 3 2.10000+ 1 3.00000+ 1 8.30348- 5 4.28068- 3 2.20000+ 1 2.20000+ 1 2.03473- 3 4.24134- 3 2.20000+ 1 2.70000+ 1 7.64079- 6 4.27207- 3 2.20000+ 1 2.90000+ 1 4.58432- 5 4.28129- 3 2.20000+ 1 3.00000+ 1 1.46268- 4 4.28221- 3 2.70000+ 1 2.70000+ 1 1.35241- 6 4.30280- 3 2.70000+ 1 3.00000+ 1 9.46651- 6 4.31294- 3 2.90000+ 1 3.00000+ 1 5.26126- 6 4.32216- 3 3.00000+ 1 3.00000+ 1 7.54185- 6 4.32308- 3 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.15654- 5 1.23990- 4 1.10000+ 1 6.87482- 5 1.76230- 4 1.80000+ 1 1.76931- 4 8.60110- 4 1.90000+ 1 2.45284- 4 8.70160- 4 2.90000+ 1 1.21651- 5 9.81850- 4 3.00000+ 1 1.64771- 5 9.82770- 4 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.80000+ 1 3.83913- 2 0.00000+ 0 1.00000+ 1 1.90000+ 1 8.43278- 2 3.07000- 6 1.00000+ 1 2.10000+ 1 6.62651- 2 7.32800- 5 1.00000+ 1 2.20000+ 1 9.03897- 2 7.48100- 5 1.00000+ 1 2.70000+ 1 6.11588- 3 1.05540- 4 1.00000+ 1 2.90000+ 1 2.67541- 3 1.14760- 4 1.00000+ 1 3.00000+ 1 4.54073- 3 1.15680- 4 1.10000+ 1 1.60000+ 1 7.14604- 2 1.90000- 6 1.10000+ 1 1.80000+ 1 8.01846- 2 4.52600- 5 1.10000+ 1 1.90000+ 1 1.23882- 1 5.53100- 5 1.10000+ 1 2.10000+ 1 5.42762- 2 1.25520- 4 1.10000+ 1 2.20000+ 1 7.94798- 2 1.27050- 4 1.10000+ 1 2.70000+ 1 8.96277- 3 1.57780- 4 1.10000+ 1 2.90000+ 1 4.11336- 3 1.67000- 4 1.10000+ 1 3.00000+ 1 6.24516- 3 1.67920- 4 1.30000+ 1 1.60000+ 1 2.83876- 2 2.23010- 4 1.30000+ 1 1.80000+ 1 5.86934- 3 2.66370- 4 1.30000+ 1 1.90000+ 1 4.53247- 3 2.76420- 4 1.30000+ 1 2.10000+ 1 6.86261- 3 3.46630- 4 1.30000+ 1 2.20000+ 1 8.31812- 3 3.48160- 4 1.30000+ 1 2.70000+ 1 2.52209- 3 3.78890- 4 1.30000+ 1 2.90000+ 1 2.68467- 4 3.88110- 4 1.30000+ 1 3.00000+ 1 1.93538- 4 3.89030- 4 1.40000+ 1 1.60000+ 1 4.15142- 2 2.34010- 4 1.40000+ 1 1.80000+ 1 1.51355- 3 2.77370- 4 1.40000+ 1 1.90000+ 1 1.15470- 2 2.87420- 4 1.40000+ 1 2.10000+ 1 8.76602- 3 3.57630- 4 1.40000+ 1 2.20000+ 1 1.38820- 2 3.59160- 4 1.40000+ 1 2.70000+ 1 3.67631- 3 3.89890- 4 1.40000+ 1 2.90000+ 1 6.41470- 5 3.99110- 4 1.40000+ 1 3.00000+ 1 4.96718- 4 4.00030- 4 1.60000+ 1 1.60000+ 1 9.29198- 3 6.42420- 4 1.60000+ 1 1.80000+ 1 1.47432- 2 6.85780- 4 1.60000+ 1 1.90000+ 1 2.71952- 2 6.95830- 4 1.60000+ 1 2.10000+ 1 2.51500- 2 7.66040- 4 1.60000+ 1 2.20000+ 1 3.66225- 2 7.67570- 4 1.60000+ 1 2.70000+ 1 1.94714- 3 7.98300- 4 1.60000+ 1 2.90000+ 1 8.12990- 4 8.07520- 4 1.60000+ 1 3.00000+ 1 1.42538- 3 8.08440- 4 1.80000+ 1 1.80000+ 1 8.48436- 4 7.29140- 4 1.80000+ 1 1.90000+ 1 2.05721- 3 7.39190- 4 1.80000+ 1 2.10000+ 1 1.16591- 3 8.09400- 4 1.80000+ 1 2.20000+ 1 3.96448- 4 8.10930- 4 1.80000+ 1 2.70000+ 1 1.27408- 3 8.41660- 4 1.80000+ 1 2.90000+ 1 7.88994- 5 8.50880- 4 1.80000+ 1 3.00000+ 1 8.86425- 5 8.51800- 4 1.90000+ 1 1.90000+ 1 2.63307- 3 7.49240- 4 1.90000+ 1 2.10000+ 1 1.01731- 3 8.19450- 4 1.90000+ 1 2.20000+ 1 2.92529- 3 8.20980- 4 1.90000+ 1 2.70000+ 1 2.25523- 3 8.51710- 4 1.90000+ 1 2.90000+ 1 9.30758- 5 8.60930- 4 1.90000+ 1 3.00000+ 1 2.39203- 4 8.61850- 4 2.10000+ 1 2.10000+ 1 3.04816- 4 8.89660- 4 2.10000+ 1 2.20000+ 1 9.71736- 4 8.91190- 4 2.10000+ 1 2.70000+ 1 2.04138- 3 9.21920- 4 2.10000+ 1 2.90000+ 1 4.80339- 5 9.31140- 4 2.10000+ 1 3.00000+ 1 4.24900- 5 9.32060- 4 2.20000+ 1 2.20000+ 1 6.90721- 4 8.92720- 4 2.20000+ 1 2.70000+ 1 2.97852- 3 9.23450- 4 2.20000+ 1 2.90000+ 1 1.48142- 5 9.32670- 4 2.20000+ 1 3.00000+ 1 1.24994- 4 9.33590- 4 2.70000+ 1 2.70000+ 1 8.65234- 5 9.54180- 4 2.70000+ 1 2.90000+ 1 6.22977- 5 9.63400- 4 2.70000+ 1 3.00000+ 1 1.09885- 4 9.64320- 4 2.90000+ 1 2.90000+ 1 6.81396- 7 9.72620- 4 2.90000+ 1 3.00000+ 1 2.72546- 6 9.73540- 4 3.00000+ 1 3.00000+ 1 3.84565- 6 9.74460- 4 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.18372- 4 2.73350- 4 1.60000+ 1 2.65558- 4 6.92760- 4 2.10000+ 1 8.87335- 4 8.16380- 4 2.70000+ 1 3.58310- 5 8.48640- 4 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.94967- 2 1.53000- 6 1.10000+ 1 2.20000+ 1 4.66301- 2 3.06000- 6 1.10000+ 1 2.70000+ 1 7.50938- 3 3.37900- 5 1.10000+ 1 2.90000+ 1 3.79178- 3 4.30100- 5 1.10000+ 1 3.00000+ 1 4.50952- 3 4.39300- 5 1.30000+ 1 1.60000+ 1 1.29495- 1 9.90200- 5 1.30000+ 1 1.80000+ 1 1.31234- 1 1.42380- 4 1.30000+ 1 1.90000+ 1 1.94831- 1 1.52430- 4 1.30000+ 1 2.10000+ 1 5.05505- 2 2.22640- 4 1.30000+ 1 2.20000+ 1 5.28667- 2 2.24170- 4 1.30000+ 1 2.70000+ 1 1.63006- 2 2.54900- 4 1.30000+ 1 2.90000+ 1 6.43456- 3 2.64120- 4 1.30000+ 1 3.00000+ 1 9.86716- 3 2.65040- 4 1.40000+ 1 1.60000+ 1 2.22344- 2 1.10020- 4 1.40000+ 1 1.80000+ 1 1.61424- 1 1.53380- 4 1.40000+ 1 1.90000+ 1 1.70185- 2 1.63430- 4 1.40000+ 1 2.10000+ 1 3.75699- 3 2.33640- 4 1.40000+ 1 2.20000+ 1 6.73501- 3 2.35170- 4 1.40000+ 1 2.70000+ 1 1.92190- 3 2.65900- 4 1.40000+ 1 2.90000+ 1 6.75348- 3 2.75120- 4 1.40000+ 1 3.00000+ 1 7.91261- 4 2.76040- 4 1.60000+ 1 1.60000+ 1 7.20944- 4 5.18430- 4 1.60000+ 1 1.80000+ 1 1.02882- 2 5.61790- 4 1.60000+ 1 1.90000+ 1 1.67823- 3 5.71840- 4 1.60000+ 1 2.10000+ 1 3.69009- 4 6.42050- 4 1.60000+ 1 2.20000+ 1 1.01840- 3 6.43580- 4 1.60000+ 1 2.70000+ 1 1.44457- 4 6.74310- 4 1.60000+ 1 2.90000+ 1 4.12336- 4 6.83530- 4 1.60000+ 1 3.00000+ 1 8.01049- 5 6.84450- 4 1.80000+ 1 1.80000+ 1 7.10366- 3 6.05150- 4 1.80000+ 1 1.90000+ 1 2.22318- 2 6.15200- 4 1.80000+ 1 2.10000+ 1 1.79716- 2 6.85410- 4 1.80000+ 1 2.20000+ 1 2.99020- 2 6.86940- 4 1.80000+ 1 2.70000+ 1 1.26360- 3 7.17670- 4 1.80000+ 1 2.90000+ 1 6.84243- 4 7.26890- 4 1.80000+ 1 3.00000+ 1 1.16259- 3 7.27810- 4 1.90000+ 1 1.90000+ 1 6.35358- 4 6.25250- 4 1.90000+ 1 2.10000+ 1 1.96118- 3 6.95460- 4 1.90000+ 1 2.20000+ 1 1.39224- 3 6.96990- 4 1.90000+ 1 2.70000+ 1 1.57255- 4 7.27720- 4 1.90000+ 1 2.90000+ 1 9.74359- 4 7.36940- 4 1.90000+ 1 3.00000+ 1 5.73147- 5 7.37860- 4 2.10000+ 1 2.10000+ 1 6.32892- 4 7.65670- 4 2.10000+ 1 2.20000+ 1 1.49936- 3 7.67200- 4 2.10000+ 1 2.70000+ 1 4.26447- 5 7.97930- 4 2.10000+ 1 2.90000+ 1 7.48641- 4 8.07150- 4 2.10000+ 1 3.00000+ 1 8.46099- 5 8.08070- 4 2.20000+ 1 2.20000+ 1 1.90364- 4 7.68730- 4 2.20000+ 1 2.70000+ 1 5.10234- 5 7.99460- 4 2.20000+ 1 2.90000+ 1 6.55187- 4 8.08680- 4 2.20000+ 1 3.00000+ 1 2.95583- 5 8.09600- 4 2.70000+ 1 2.70000+ 1 6.28197- 6 8.30190- 4 2.70000+ 1 2.90000+ 1 4.39730- 5 8.39410- 4 2.70000+ 1 3.00000+ 1 6.28197- 6 8.40330- 4 2.90000+ 1 2.90000+ 1 5.61751- 6 8.48630- 4 2.90000+ 1 3.00000+ 1 3.41737- 5 8.49550- 4 3.00000+ 1 3.00000+ 1 1.15848- 6 8.50470- 4 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.39223- 5 2.21110- 4 1.40000+ 1 2.54586- 4 2.32110- 4 1.60000+ 1 3.31557- 4 6.40520- 4 2.10000+ 1 1.10638- 4 7.64140- 4 2.20000+ 1 9.13672- 4 7.65670- 4 2.70000+ 1 4.43334- 5 7.96400- 4 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 2.71162- 2 4.67800- 5 1.30000+ 1 1.80000+ 1 1.88576- 2 9.01400- 5 1.30000+ 1 1.90000+ 1 1.14130- 1 1.00190- 4 1.30000+ 1 2.10000+ 1 1.26177- 2 1.70400- 4 1.30000+ 1 2.20000+ 1 8.98253- 3 1.71930- 4 1.30000+ 1 2.70000+ 1 2.70974- 3 2.02660- 4 1.30000+ 1 2.90000+ 1 9.74900- 4 2.11880- 4 1.30000+ 1 3.00000+ 1 4.79416- 3 2.12800- 4 1.40000+ 1 1.60000+ 1 1.21321- 1 5.77800- 5 1.40000+ 1 1.80000+ 1 1.25311- 1 1.01140- 4 1.40000+ 1 1.90000+ 1 2.50865- 1 1.11190- 4 1.40000+ 1 2.10000+ 1 4.74911- 2 1.81400- 4 1.40000+ 1 2.20000+ 1 8.13184- 2 1.82930- 4 1.40000+ 1 2.70000+ 1 1.51906- 2 2.13660- 4 1.40000+ 1 2.90000+ 1 6.53942- 3 2.22880- 4 1.40000+ 1 3.00000+ 1 1.16735- 2 2.23800- 4 1.60000+ 1 1.60000+ 1 8.40610- 4 4.66190- 4 1.60000+ 1 1.80000+ 1 1.22679- 3 5.09550- 4 1.60000+ 1 1.90000+ 1 1.77486- 2 5.19600- 4 1.60000+ 1 2.10000+ 1 9.95511- 4 5.89810- 4 1.60000+ 1 2.20000+ 1 1.09737- 3 5.91340- 4 1.60000+ 1 2.70000+ 1 1.68122- 4 6.22070- 4 1.60000+ 1 2.90000+ 1 5.80781- 5 6.31290- 4 1.60000+ 1 3.00000+ 1 6.87771- 4 6.32210- 4 1.80000+ 1 1.80000+ 1 1.97667- 4 5.52910- 4 1.80000+ 1 1.90000+ 1 1.90525- 2 5.62960- 4 1.80000+ 1 2.10000+ 1 5.19856- 4 6.33170- 4 1.80000+ 1 2.20000+ 1 2.84715- 3 6.34700- 4 1.80000+ 1 2.70000+ 1 1.08711- 4 6.65430- 4 1.80000+ 1 2.90000+ 1 1.77890- 5 6.74650- 4 1.80000+ 1 3.00000+ 1 7.46144- 4 6.75570- 4 1.90000+ 1 1.90000+ 1 2.43680- 2 5.73010- 4 1.90000+ 1 2.10000+ 1 2.88026- 2 6.43220- 4 1.90000+ 1 2.20000+ 1 3.92092- 2 6.44750- 4 1.90000+ 1 2.70000+ 1 1.82570- 3 6.75480- 4 1.90000+ 1 2.90000+ 1 9.09915- 4 6.84700- 4 1.90000+ 1 3.00000+ 1 2.22954- 3 6.85620- 4 2.10000+ 1 2.10000+ 1 1.62205- 4 7.13430- 4 2.10000+ 1 2.20000+ 1 1.66037- 3 7.14960- 4 2.10000+ 1 2.70000+ 1 5.30038- 5 7.45690- 4 2.10000+ 1 2.90000+ 1 1.34099- 5 7.54910- 4 2.10000+ 1 3.00000+ 1 8.31457- 4 7.55830- 4 2.20000+ 1 2.20000+ 1 8.95625- 4 7.16490- 4 2.20000+ 1 2.70000+ 1 5.25872- 5 7.47220- 4 2.20000+ 1 2.90000+ 1 6.17102- 5 7.56440- 4 2.20000+ 1 3.00000+ 1 9.46597- 4 7.57360- 4 2.70000+ 1 2.70000+ 1 4.63044- 6 7.77950- 4 2.70000+ 1 2.90000+ 1 2.57229- 6 7.87170- 4 2.70000+ 1 3.00000+ 1 4.21877- 5 7.88090- 4 2.90000+ 1 3.00000+ 1 2.10930- 5 7.97310- 4 3.00000+ 1 3.00000+ 1 2.46957- 5 7.98230- 4 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.32149- 3 4.62770- 4 1.90000+ 1 2.13079- 4 4.72820- 4 2.90000+ 1 7.96737- 5 5.84510- 4 3.00000+ 1 1.22779- 5 5.85430- 4 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.90000+ 1 2.38601- 3 1.77000- 6 1.40000+ 1 3.00000+ 1 8.09794- 3 2.69000- 6 1.60000+ 1 1.60000+ 1 1.26689- 4 2.45080- 4 1.60000+ 1 1.80000+ 1 7.10540- 3 2.88440- 4 1.60000+ 1 1.90000+ 1 6.12887- 3 2.98490- 4 1.60000+ 1 2.10000+ 1 1.19957- 1 3.68700- 4 1.60000+ 1 2.20000+ 1 1.79475- 2 3.70230- 4 1.60000+ 1 2.70000+ 1 3.16721- 5 4.00960- 4 1.60000+ 1 2.90000+ 1 3.11448- 4 4.10180- 4 1.60000+ 1 3.00000+ 1 2.00590- 4 4.11100- 4 1.80000+ 1 1.80000+ 1 1.75265- 3 3.31800- 4 1.80000+ 1 1.90000+ 1 1.87780- 2 3.41850- 4 1.80000+ 1 2.10000+ 1 9.33380- 2 4.12060- 4 1.80000+ 1 2.20000+ 1 8.24056- 3 4.13590- 4 1.80000+ 1 2.70000+ 1 4.01201- 4 4.44320- 4 1.80000+ 1 2.90000+ 1 1.74206- 4 4.53540- 4 1.80000+ 1 3.00000+ 1 7.54897- 4 4.54460- 4 1.90000+ 1 1.90000+ 1 7.44835- 3 3.51900- 4 1.90000+ 1 2.10000+ 1 2.06612- 1 4.22110- 4 1.90000+ 1 2.20000+ 1 8.11355- 3 4.23640- 4 1.90000+ 1 2.70000+ 1 4.38143- 4 4.54370- 4 1.90000+ 1 2.90000+ 1 7.86546- 4 4.63590- 4 1.90000+ 1 3.00000+ 1 5.80673- 4 4.64510- 4 2.10000+ 1 2.10000+ 1 1.48113- 1 4.92320- 4 2.10000+ 1 2.20000+ 1 3.04568- 1 4.93850- 4 2.10000+ 1 2.70000+ 1 1.33392- 2 5.24580- 4 2.10000+ 1 2.90000+ 1 5.15227- 3 5.33800- 4 2.10000+ 1 3.00000+ 1 1.06054- 2 5.34720- 4 2.20000+ 1 2.20000+ 1 5.04131- 3 4.95380- 4 2.20000+ 1 2.70000+ 1 1.10858- 3 5.26110- 4 2.20000+ 1 2.90000+ 1 3.11450- 4 5.35330- 4 2.20000+ 1 3.00000+ 1 3.43132- 4 5.36250- 4 2.70000+ 1 2.90000+ 1 2.11148- 5 5.66060- 4 2.70000+ 1 3.00000+ 1 1.58360- 5 5.66980- 4 2.90000+ 1 3.00000+ 1 3.16719- 5 5.76200- 4 3.00000+ 1 3.00000+ 1 1.05580- 5 5.77120- 4 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.41809- 3 4.61820- 4 3.00000+ 1 8.16492- 5 5.74430- 4 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 2.67350- 4 2.34080- 4 1.60000+ 1 1.80000+ 1 3.48098- 3 2.77440- 4 1.60000+ 1 1.90000+ 1 1.10295- 2 2.87490- 4 1.60000+ 1 2.10000+ 1 1.32580- 2 3.57700- 4 1.60000+ 1 2.20000+ 1 1.27396- 1 3.59230- 4 1.60000+ 1 2.70000+ 1 4.71818- 5 3.89960- 4 1.60000+ 1 2.90000+ 1 9.43619- 5 3.99180- 4 1.60000+ 1 3.00000+ 1 4.24642- 4 4.00100- 4 1.80000+ 1 1.90000+ 1 1.86725- 2 3.30850- 4 1.80000+ 1 2.10000+ 1 1.50976- 3 4.01060- 4 1.80000+ 1 2.20000+ 1 1.15407- 1 4.02590- 4 1.80000+ 1 2.70000+ 1 2.25431- 4 4.33320- 4 1.80000+ 1 3.00000+ 1 7.44394- 4 4.43460- 4 1.90000+ 1 1.90000+ 1 1.35886- 2 3.40900- 4 1.90000+ 1 2.10000+ 1 1.06310- 2 4.11110- 4 1.90000+ 1 2.20000+ 1 1.90715- 1 4.12640- 4 1.90000+ 1 2.70000+ 1 7.07702- 4 4.43370- 4 1.90000+ 1 2.90000+ 1 7.28699- 4 4.52590- 4 1.90000+ 1 3.00000+ 1 1.11664- 3 4.53510- 4 2.10000+ 1 2.10000+ 1 2.07067- 3 4.81320- 4 2.10000+ 1 2.20000+ 1 2.11112- 1 4.82850- 4 2.10000+ 1 2.70000+ 1 8.12575- 4 5.13580- 4 2.10000+ 1 2.90000+ 1 7.86354- 5 5.22800- 4 2.10000+ 1 3.00000+ 1 4.03656- 4 5.23720- 4 2.20000+ 1 2.20000+ 1 2.44116- 1 4.84380- 4 2.20000+ 1 2.70000+ 1 1.37455- 2 5.15110- 4 2.20000+ 1 2.90000+ 1 6.16507- 3 5.24330- 4 2.20000+ 1 3.00000+ 1 9.86081- 3 5.25250- 4 2.70000+ 1 2.90000+ 1 5.41120- 6 5.55060- 4 2.70000+ 1 3.00000+ 1 3.24664- 5 5.55980- 4 2.90000+ 1 3.00000+ 1 3.14527- 5 5.65200- 4 3.00000+ 1 3.00000+ 1 2.09678- 5 5.66120- 4 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.16124- 5 4.33600- 5 1.90000+ 1 3.95034- 5 5.34100- 5 2.90000+ 1 4.50791- 6 1.65100- 4 3.00000+ 1 4.12975- 6 1.66020- 4 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.20000+ 1 5.41594- 3 0.00000+ 0 1.80000+ 1 2.70000+ 1 4.63716- 2 2.49100- 5 1.80000+ 1 2.90000+ 1 1.62323- 2 3.41300- 5 1.80000+ 1 3.00000+ 1 3.88606- 2 3.50500- 5 1.90000+ 1 2.10000+ 1 2.58969- 1 2.70000- 6 1.90000+ 1 2.20000+ 1 3.64220- 1 4.23000- 6 1.90000+ 1 2.70000+ 1 4.07609- 2 3.49600- 5 1.90000+ 1 2.90000+ 1 2.13361- 2 4.41800- 5 1.90000+ 1 3.00000+ 1 2.92571- 2 4.51000- 5 2.10000+ 1 2.10000+ 1 3.31224- 3 7.29100- 5 2.10000+ 1 2.20000+ 1 6.64305- 2 7.44400- 5 2.10000+ 1 2.70000+ 1 1.78613- 2 1.05170- 4 2.10000+ 1 2.90000+ 1 1.20889- 3 1.14390- 4 2.10000+ 1 3.00000+ 1 7.82143- 3 1.15310- 4 2.20000+ 1 2.20000+ 1 1.36297- 2 7.59700- 5 2.20000+ 1 2.70000+ 1 1.65601- 2 1.06700- 4 2.20000+ 1 2.90000+ 1 4.18637- 3 1.15920- 4 2.20000+ 1 3.00000+ 1 3.96701- 3 1.16840- 4 2.70000+ 1 2.70000+ 1 1.19023- 2 1.37430- 4 2.70000+ 1 2.90000+ 1 7.58822- 3 1.46650- 4 2.70000+ 1 3.00000+ 1 1.33216- 2 1.47570- 4 2.90000+ 1 2.90000+ 1 6.10611- 4 1.55870- 4 2.90000+ 1 3.00000+ 1 6.20302- 3 1.56790- 4 3.00000+ 1 3.00000+ 1 3.91372- 3 1.57710- 4 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 6.31239- 5 8.02600- 5 2.70000+ 1 7.07609- 6 1.12520- 4 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 2.00056- 3 8.20000- 7 1.90000+ 1 3.00000+ 1 3.16964- 3 1.74000- 6 2.10000+ 1 2.10000+ 1 1.60625- 1 2.95500- 5 2.10000+ 1 2.20000+ 1 7.67086- 1 3.10800- 5 2.10000+ 1 2.70000+ 1 1.40470- 2 6.18100- 5 2.10000+ 1 2.90000+ 1 5.64153- 3 7.10300- 5 2.10000+ 1 3.00000+ 1 1.13898- 2 7.19500- 5 2.20000+ 1 2.20000+ 1 2.65239- 2 3.26100- 5 2.20000+ 1 2.70000+ 1 1.70906- 3 6.33400- 5 2.20000+ 1 2.90000+ 1 5.82542- 3 7.25600- 5 2.20000+ 1 3.00000+ 1 1.22755- 3 7.34800- 5 2.70000+ 1 2.70000+ 1 1.30214- 5 9.40700- 5 2.70000+ 1 2.90000+ 1 3.11001- 4 1.03290- 4 2.70000+ 1 3.00000+ 1 3.59173- 5 1.04210- 4 2.90000+ 1 2.90000+ 1 4.66623- 5 1.12510- 4 2.90000+ 1 3.00000+ 1 2.70417- 4 1.13430- 4 3.00000+ 1 3.00000+ 1 7.59569- 6 1.14350- 4 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.61941- 6 7.02100- 5 2.20000+ 1 1.62461- 5 7.17400- 5 2.70000+ 1 2.68311- 6 1.02470- 4 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 2.32702- 2 1.95000- 5 2.10000+ 1 2.20000+ 1 5.75081- 1 2.10300- 5 2.10000+ 1 2.70000+ 1 1.77252- 3 5.17600- 5 2.10000+ 1 2.90000+ 1 8.06439- 4 6.09800- 5 2.10000+ 1 3.00000+ 1 3.71221- 3 6.19000- 5 2.20000+ 1 2.20000+ 1 3.68959- 1 2.25600- 5 2.20000+ 1 2.70000+ 1 1.04453- 2 5.32900- 5 2.20000+ 1 2.90000+ 1 5.80241- 3 6.25100- 5 2.20000+ 1 3.00000+ 1 9.57440- 3 6.34300- 5 2.70000+ 1 2.70000+ 1 9.01660- 8 8.40200- 5 2.70000+ 1 2.90000+ 1 1.70409- 5 9.32400- 5 2.70000+ 1 3.00000+ 1 2.87260- 4 9.41600- 5 2.90000+ 1 2.90000+ 1 7.56549- 7 1.02460- 4 2.90000+ 1 3.00000+ 1 1.17264- 4 1.03380- 4 3.00000+ 1 3.00000+ 1 1.33910- 4 1.04300- 4 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 9.03377- 8 4.14800- 5 3.00000+ 1 1.57320- 8 4.24000- 5 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 1.80030- 1 1.38100- 5 2.70000+ 1 2.90000+ 1 3.22594- 1 2.30300- 5 2.70000+ 1 3.00000+ 1 2.89244- 1 2.39500- 5 2.90000+ 1 2.90000+ 1 3.86969- 2 3.22500- 5 2.90000+ 1 3.00000+ 1 1.52892- 1 3.31700- 5 3.00000+ 1 3.00000+ 1 1.65429- 2 3.40900- 5 1 52000 0 7 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 1.10200- 7 4.08700- 5 1 52000 0 9 1.27600+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 1.85533- 1 1.22800- 5 2.70000+ 1 2.90000+ 1 2.00104- 1 2.15000- 5 2.70000+ 1 3.00000+ 1 4.73844- 1 2.24200- 5 2.90000+ 1 2.90000+ 1 3.24135- 3 3.07200- 5 2.90000+ 1 3.00000+ 1 4.75177- 2 3.16400- 5 3.00000+ 1 3.00000+ 1 8.97601- 2 3.25600- 5 1 53000 0 0 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 1.67000+ 0 3.00000+ 1 3.33000+ 0 1 53000 0 0 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.31640- 2 3.00000+ 0 5.16190- 3 5.00000+ 0 4.85750- 3 6.00000+ 0 4.55450- 3 8.00000+ 0 1.05540- 3 1.00000+ 1 9.27200- 4 1.10000+ 1 8.69810- 4 1.30000+ 1 6.41460- 4 1.40000+ 1 6.29310- 4 1.60000+ 1 1.91040- 4 1.80000+ 1 1.45530- 4 1.90000+ 1 1.34210- 4 2.10000+ 1 6.00400- 5 2.20000+ 1 5.82600- 5 2.70000+ 1 2.10100- 5 2.90000+ 1 1.07700- 5 3.00000+ 1 9.63000- 6 1 53000 0 0 1.26904+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.23240- 2 3.00000+ 0 9.23540- 3 5.00000+ 0 9.24470- 3 6.00000+ 0 8.14140- 3 8.00000+ 0 2.69620- 3 1.00000+ 1 2.62670- 3 1.10000+ 1 2.37990- 3 1.30000+ 1 2.25510- 3 1.40000+ 1 2.19550- 3 1.60000+ 1 7.67530- 4 1.80000+ 1 6.98800- 4 1.90000+ 1 6.35920- 4 2.10000+ 1 4.90340- 4 2.20000+ 1 4.76940- 4 2.70000+ 1 1.36000- 4 2.90000+ 1 9.35900- 5 3.00000+ 1 8.20200- 5 1 53000 0 0 1.26904+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.43810-10 3.00000+ 0 6.15540-10 5.00000+ 0 5.18230-10 6.00000+ 0 5.48350-10 8.00000+ 0 1.64890- 9 1.00000+ 1 1.59450- 9 1.10000+ 1 1.65470- 9 1.30000+ 1 1.49750- 9 1.40000+ 1 1.51640- 9 1.60000+ 1 3.86930- 9 1.80000+ 1 4.02760- 9 1.90000+ 1 4.17050- 9 2.10000+ 1 4.70340- 9 2.20000+ 1 4.75750- 9 2.70000+ 1 1.00320- 8 2.90000+ 1 1.20830- 8 3.00000+ 1 1.27390- 8 1 53000 0 0 1.26904+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.12200- 6 3.00000+ 0 1.47000- 7 5.00000+ 0 2.47170- 7 6.00000+ 0 2.33140- 7 8.00000+ 0 3.50130- 9 1.00000+ 1 3.49830- 9 1.10000+ 1 3.45170- 9 1.30000+ 1 2.66890-10 1.40000+ 1 2.28560-10 1.60000+ 1 7.80580-11 1.80000+ 1 2.05130-10 1.90000+ 1 1.60280-10 2.10000+ 1 4.99790-12 2.20000+ 1 4.35080-12 1 53000 0 0 1.26904+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.25770- 6 3.00000+ 0 3.25200- 6 5.00000+ 0 2.66590- 6 6.00000+ 0 2.45020- 6 8.00000+ 0 1.30020- 5 1.00000+ 1 4.88470- 6 1.10000+ 1 5.30930- 6 1.30000+ 1 5.55230- 7 1.40000+ 1 5.57740- 7 1.60000+ 1 6.37110- 6 1.80000+ 1 2.59690- 5 1.90000+ 1 4.39830- 5 2.10000+ 1 1.05800- 7 2.20000+ 1 1.20850- 7 1 53000 0 0 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.85925- 4 3.00000+ 0 2.13785- 4 5.00000+ 0 1.81520- 4 6.00000+ 0 1.72828- 4 8.00000+ 0 1.58962- 4 1.00000+ 1 1.31728- 4 1.10000+ 1 1.27876- 4 1.30000+ 1 7.80894- 5 1.40000+ 1 7.85672- 5 1.60000+ 1 7.13468- 5 1.80000+ 1 6.04154- 5 1.90000+ 1 6.07792- 5 2.10000+ 1 3.04624- 5 2.20000+ 1 3.08148- 5 2.70000+ 1 2.10100- 5 2.90000+ 1 1.07700- 5 3.00000+ 1 9.63000- 6 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.73451- 1 3.00000+ 0 9.52313- 2 5.00000+ 0 1.04204- 1 6.00000+ 0 9.04912- 2 8.00000+ 0 3.42360- 3 1.00000+ 1 3.63954- 3 1.10000+ 1 3.43263- 3 1.30000+ 1 1.99432- 3 1.40000+ 1 1.83116- 3 1.60000+ 1 9.59765- 5 1.80000+ 1 8.67876- 5 1.90000+ 1 2.59611- 5 2.10000+ 1 2.54820- 7 2.20000+ 1 2.63720- 7 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.62135- 2 3.00000+ 0 3.85734- 4 5.00000+ 0 4.24490- 4 6.00000+ 0 3.44080- 4 8.00000+ 0 2.13433- 6 1.00000+ 1 2.18116- 6 1.10000+ 1 2.05934- 6 1.30000+ 1 9.98606- 7 1.40000+ 1 9.09469- 7 1.60000+ 1 7.81711- 9 1.80000+ 1 7.77403- 9 1.90000+ 1 2.08917- 9 2.10000+ 1 1.25978-11 2.20000+ 1 1.28247-11 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.11764+ 1 3.00000+ 0 1.30128+ 1 5.00000+ 0 1.08942+ 1 6.00000+ 0 1.03121+ 1 8.00000+ 0 9.46950+ 0 1.00000+ 1 7.64035+ 0 1.10000+ 1 7.36915+ 0 1.30000+ 1 4.12245+ 0 1.40000+ 1 4.13056+ 0 1.60000+ 1 3.71564+ 0 1.80000+ 1 2.95440+ 0 1.90000+ 1 2.96350+ 0 2.10000+ 1 1.00000+ 0 2.20000+ 1 1.00000+ 0 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.76455- 3 3.00000+ 0 4.56238- 3 5.00000+ 0 4.25149- 3 6.00000+ 0 4.03759- 3 8.00000+ 0 8.94304- 4 1.00000+ 1 7.93291- 4 1.10000+ 1 7.39875- 4 1.30000+ 1 5.62372- 4 1.40000+ 1 5.49833- 4 1.60000+ 1 1.19685- 4 1.80000+ 1 8.51068- 5 1.90000+ 1 7.34287- 5 2.10000+ 1 2.95776- 5 2.20000+ 1 2.74452- 5 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.54309- 1 2.83065- 2 6.00000+ 0 4.72118- 1 2.86095- 2 1.00000+ 1 4.39088- 2 3.22368- 2 1.10000+ 1 8.51517- 2 3.22942- 2 1.30000+ 1 4.12249- 4 3.25225- 2 1.40000+ 1 5.65058- 4 3.25347- 2 1.80000+ 1 9.15607- 3 3.30185- 2 1.90000+ 1 1.79119- 2 3.30298- 2 2.10000+ 1 7.32237- 5 3.31040- 2 2.20000+ 1 1.00070- 4 3.31057- 2 2.90000+ 1 7.32127- 4 3.31532- 2 3.00000+ 1 1.37130- 3 3.31544- 2 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 8.91673- 3 2.28402- 2 3.00000+ 0 5.00000+ 0 1.06418- 2 2.31446- 2 3.00000+ 0 6.00000+ 0 1.30507- 2 2.34476- 2 3.00000+ 0 8.00000+ 0 3.17941- 3 2.69467- 2 3.00000+ 0 1.00000+ 1 2.02890- 3 2.70749- 2 3.00000+ 0 1.10000+ 1 2.51372- 3 2.71323- 2 3.00000+ 0 1.30000+ 1 1.68000- 4 2.73606- 2 3.00000+ 0 1.40000+ 1 1.83814- 4 2.73728- 2 3.00000+ 0 1.60000+ 1 6.84137- 4 2.78111- 2 3.00000+ 0 1.80000+ 1 4.10625- 4 2.78566- 2 3.00000+ 0 1.90000+ 1 5.05507- 4 2.78679- 2 3.00000+ 0 2.10000+ 1 3.01428- 5 2.79421- 2 3.00000+ 0 2.20000+ 1 3.28600- 5 2.79438- 2 3.00000+ 0 2.70000+ 1 1.01299- 4 2.79811- 2 3.00000+ 0 2.90000+ 1 3.92840- 5 2.79913- 2 3.00000+ 0 3.00000+ 1 4.69428- 5 2.79925- 2 5.00000+ 0 5.00000+ 0 1.33390- 3 2.34490- 2 5.00000+ 0 6.00000+ 0 2.82368- 2 2.37520- 2 5.00000+ 0 8.00000+ 0 1.57310- 3 2.72511- 2 5.00000+ 0 1.00000+ 1 4.55341- 4 2.73793- 2 5.00000+ 0 1.10000+ 1 4.53287- 3 2.74367- 2 5.00000+ 0 1.30000+ 1 2.03331- 4 2.76650- 2 5.00000+ 0 1.40000+ 1 6.81651- 4 2.76772- 2 5.00000+ 0 1.60000+ 1 3.25647- 4 2.81155- 2 5.00000+ 0 1.80000+ 1 9.04264- 5 2.81610- 2 5.00000+ 0 1.90000+ 1 8.81532- 4 2.81723- 2 5.00000+ 0 2.10000+ 1 3.60726- 5 2.82465- 2 5.00000+ 0 2.20000+ 1 1.20073- 4 2.82482- 2 5.00000+ 0 2.70000+ 1 4.79310- 5 2.82855- 2 5.00000+ 0 2.90000+ 1 8.64728- 6 2.82957- 2 5.00000+ 0 3.00000+ 1 8.15323- 5 2.82969- 2 6.00000+ 0 6.00000+ 0 1.41721- 2 2.40550- 2 6.00000+ 0 8.00000+ 0 1.89061- 3 2.75541- 2 6.00000+ 0 1.00000+ 1 4.42382- 3 2.76823- 2 6.00000+ 0 1.10000+ 1 4.67357- 3 2.77397- 2 6.00000+ 0 1.30000+ 1 8.13596- 4 2.79680- 2 6.00000+ 0 1.40000+ 1 7.49837- 4 2.79802- 2 6.00000+ 0 1.60000+ 1 3.89866- 4 2.84185- 2 6.00000+ 0 1.80000+ 1 8.64481- 4 2.84640- 2 6.00000+ 0 1.90000+ 1 9.14422- 4 2.84753- 2 6.00000+ 0 2.10000+ 1 1.44039- 4 2.85495- 2 6.00000+ 0 2.20000+ 1 1.32428- 4 2.85512- 2 6.00000+ 0 2.70000+ 1 5.73198- 5 2.85885- 2 6.00000+ 0 2.90000+ 1 8.22729- 5 2.85987- 2 6.00000+ 0 3.00000+ 1 8.44971- 5 2.85999- 2 8.00000+ 0 8.00000+ 0 2.79178- 4 3.10532- 2 8.00000+ 0 1.00000+ 1 3.02645- 4 3.11814- 2 8.00000+ 0 1.10000+ 1 3.67138- 4 3.12388- 2 8.00000+ 0 1.30000+ 1 2.32233- 5 3.14671- 2 8.00000+ 0 1.40000+ 1 2.44589- 5 3.14793- 2 8.00000+ 0 1.60000+ 1 1.19826- 4 3.19176- 2 8.00000+ 0 1.80000+ 1 6.12717- 5 3.19631- 2 8.00000+ 0 1.90000+ 1 7.38715- 5 3.19744- 2 8.00000+ 0 2.10000+ 1 4.20010- 6 3.20486- 2 8.00000+ 0 2.20000+ 1 4.44713- 6 3.20503- 2 8.00000+ 0 2.70000+ 1 1.77891- 5 3.20876- 2 8.00000+ 0 2.90000+ 1 5.92953- 6 3.20978- 2 8.00000+ 0 3.00000+ 1 6.91780- 6 3.20990- 2 1.00000+ 1 1.00000+ 1 3.73070- 5 3.13096- 2 1.00000+ 1 1.10000+ 1 7.22172- 4 3.13670- 2 1.00000+ 1 1.30000+ 1 2.49538- 5 3.15953- 2 1.00000+ 1 1.40000+ 1 8.32602- 5 3.16075- 2 1.00000+ 1 1.60000+ 1 6.27548- 5 3.20458- 2 1.00000+ 1 1.80000+ 1 1.48233- 5 3.20913- 2 1.00000+ 1 1.90000+ 1 1.40835- 4 3.21026- 2 1.00000+ 1 2.10000+ 1 4.44717- 6 3.21768- 2 1.00000+ 1 2.20000+ 1 1.48233- 5 3.21785- 2 1.00000+ 1 2.70000+ 1 9.14145- 6 3.22158- 2 1.00000+ 1 2.90000+ 1 1.48233- 6 3.22260- 2 1.00000+ 1 3.00000+ 1 1.30958- 5 3.22272- 2 1.10000+ 1 1.10000+ 1 3.86652- 4 3.14244- 2 1.10000+ 1 1.30000+ 1 1.05990- 4 3.16527- 2 1.10000+ 1 1.40000+ 1 9.53676- 5 3.16649- 2 1.10000+ 1 1.60000+ 1 7.58480- 5 3.21031- 2 1.10000+ 1 1.80000+ 1 1.41567- 4 3.21487- 2 1.10000+ 1 1.90000+ 1 1.51453- 4 3.21600- 2 1.10000+ 1 2.10000+ 1 1.87766- 5 3.22341- 2 1.10000+ 1 2.20000+ 1 1.67993- 5 3.22359- 2 1.10000+ 1 2.70000+ 1 1.11182- 5 3.22732- 2 1.10000+ 1 2.90000+ 1 1.33414- 5 3.22834- 2 1.10000+ 1 3.00000+ 1 1.40832- 5 3.22846- 2 1.30000+ 1 1.40000+ 1 1.21717- 5 3.18932- 2 1.30000+ 1 1.60000+ 1 4.44716- 6 3.23315- 2 1.30000+ 1 1.80000+ 1 4.44716- 6 3.23770- 2 1.30000+ 1 1.90000+ 1 1.87255- 5 3.23883- 2 1.30000+ 1 2.20000+ 1 2.10657- 6 3.24643- 2 1.30000+ 1 2.70000+ 1 7.02186- 7 3.25015- 2 1.30000+ 1 2.90000+ 1 4.68127- 7 3.25118- 2 1.30000+ 1 3.00000+ 1 1.63843- 6 3.25129- 2 1.40000+ 1 1.40000+ 1 2.86227- 6 3.19054- 2 1.40000+ 1 1.60000+ 1 4.77035- 6 3.23436- 2 1.40000+ 1 1.80000+ 1 1.50265- 5 3.23892- 2 1.40000+ 1 1.90000+ 1 1.71738- 5 3.24005- 2 1.40000+ 1 2.10000+ 1 2.14665- 6 3.24746- 2 1.40000+ 1 2.20000+ 1 9.54089- 7 3.24764- 2 1.40000+ 1 2.70000+ 1 7.15548- 7 3.25137- 2 1.40000+ 1 2.90000+ 1 1.43105- 6 3.25239- 2 1.40000+ 1 3.00000+ 1 1.66961- 6 3.25251- 2 1.60000+ 1 1.60000+ 1 1.24217- 5 3.27819- 2 1.60000+ 1 1.80000+ 1 1.24217- 5 3.28274- 2 1.60000+ 1 1.90000+ 1 1.48109- 5 3.28387- 2 1.60000+ 1 2.10000+ 1 7.16603- 7 3.29129- 2 1.60000+ 1 2.20000+ 1 9.55497- 7 3.29147- 2 1.60000+ 1 2.70000+ 1 3.58307- 6 3.29519- 2 1.60000+ 1 2.90000+ 1 1.19432- 6 3.29622- 2 1.60000+ 1 3.00000+ 1 1.43316- 6 3.29633- 2 1.80000+ 1 1.80000+ 1 1.37022- 6 3.28729- 2 1.80000+ 1 1.90000+ 1 2.55791- 5 3.28843- 2 1.80000+ 1 2.10000+ 1 6.85131- 7 3.29584- 2 1.80000+ 1 2.20000+ 1 2.51218- 6 3.29602- 2 1.80000+ 1 2.70000+ 1 1.82706- 6 3.29975- 2 1.80000+ 1 2.90000+ 1 2.28382- 7 3.30077- 2 1.80000+ 1 3.00000+ 1 2.28382- 6 3.30088- 2 1.90000+ 1 1.90000+ 1 1.38134- 5 3.28956- 2 1.90000+ 1 2.10000+ 1 3.22323- 6 3.29697- 2 1.90000+ 1 2.20000+ 1 2.99304- 6 3.29715- 2 1.90000+ 1 2.70000+ 1 2.07209- 6 3.30088- 2 1.90000+ 1 2.90000+ 1 2.53257- 6 3.30190- 2 1.90000+ 1 3.00000+ 1 2.53257- 6 3.30202- 2 2.10000+ 1 2.20000+ 1 4.94134- 7 3.30457- 2 2.10000+ 1 2.70000+ 1 2.47071- 7 3.30829- 2 2.10000+ 1 3.00000+ 1 2.47071- 7 3.30943- 2 2.20000+ 1 2.70000+ 1 2.47072- 7 3.30847- 2 2.20000+ 1 2.90000+ 1 2.47072- 7 3.30950- 2 2.20000+ 1 3.00000+ 1 2.47072- 7 3.30961- 2 2.70000+ 1 2.70000+ 1 2.47072- 7 3.31220- 2 2.70000+ 1 2.90000+ 1 2.47072- 7 3.31322- 2 2.70000+ 1 3.00000+ 1 2.47072- 7 3.31334- 2 2.90000+ 1 3.00000+ 1 2.47069- 7 3.31436- 2 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.99879- 5 3.04400- 4 6.00000+ 0 3.45078- 4 6.07400- 4 1.00000+ 1 1.31549- 2 4.23470- 3 1.10000+ 1 2.08889- 2 4.29209- 3 1.30000+ 1 1.88269- 4 4.52044- 3 1.40000+ 1 2.81209- 4 4.53259- 3 1.80000+ 1 2.77369- 3 5.01637- 3 1.90000+ 1 4.51118- 3 5.02769- 3 2.10000+ 1 2.20399- 5 5.10186- 3 2.20000+ 1 3.34348- 5 5.10364- 3 2.90000+ 1 2.41689- 4 5.15113- 3 3.00000+ 1 3.77128- 4 5.15227- 3 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.64269- 2 1.13360- 4 5.00000+ 0 1.80000+ 1 4.07635- 2 1.58870- 4 5.00000+ 0 1.90000+ 1 5.25610- 2 1.70190- 4 5.00000+ 0 2.10000+ 1 1.29922- 2 2.44360- 4 5.00000+ 0 2.20000+ 1 2.08579- 2 2.46140- 4 5.00000+ 0 2.70000+ 1 8.11508- 3 2.83390- 4 5.00000+ 0 2.90000+ 1 3.69136- 3 2.93630- 4 5.00000+ 0 3.00000+ 1 4.63100- 3 2.94770- 4 6.00000+ 0 1.60000+ 1 7.43152- 2 4.16360- 4 6.00000+ 0 1.80000+ 1 3.29765- 2 4.61870- 4 6.00000+ 0 1.90000+ 1 6.23732- 2 4.73190- 4 6.00000+ 0 2.10000+ 1 5.93997- 2 5.47360- 4 6.00000+ 0 2.20000+ 1 7.62633- 2 5.49140- 4 6.00000+ 0 2.70000+ 1 1.06434- 2 5.86390- 4 6.00000+ 0 2.90000+ 1 3.03892- 3 5.96630- 4 6.00000+ 0 3.00000+ 1 5.64832- 3 5.97770- 4 8.00000+ 0 8.00000+ 0 1.33311- 2 3.05110- 3 8.00000+ 0 1.00000+ 1 2.65331- 2 3.17930- 3 8.00000+ 0 1.10000+ 1 4.91513- 2 3.23669- 3 8.00000+ 0 1.30000+ 1 3.94319- 2 3.46504- 3 8.00000+ 0 1.40000+ 1 5.58364- 2 3.47719- 3 8.00000+ 0 1.60000+ 1 4.90313- 3 3.91546- 3 8.00000+ 0 1.80000+ 1 5.26610- 3 3.96097- 3 8.00000+ 0 1.90000+ 1 9.67521- 3 3.97229- 3 8.00000+ 0 2.10000+ 1 6.06316- 3 4.04646- 3 8.00000+ 0 2.20000+ 1 8.53470- 3 4.04824- 3 8.00000+ 0 2.70000+ 1 7.11215- 4 4.08549- 3 8.00000+ 0 2.90000+ 1 5.02958- 4 4.09573- 3 8.00000+ 0 3.00000+ 1 8.98620- 4 4.09687- 3 1.00000+ 1 1.00000+ 1 1.48177- 4 3.30750- 3 1.00000+ 1 1.10000+ 1 1.05168- 3 3.36489- 3 1.00000+ 1 1.30000+ 1 1.12451- 3 3.59324- 3 1.00000+ 1 1.40000+ 1 1.45656- 2 3.60539- 3 1.00000+ 1 1.60000+ 1 3.91878- 3 4.04366- 3 1.00000+ 1 1.80000+ 1 3.04348- 5 4.08917- 3 1.00000+ 1 1.90000+ 1 1.95419- 4 4.10049- 3 1.00000+ 1 2.10000+ 1 1.77001- 4 4.17466- 3 1.00000+ 1 2.20000+ 1 1.48728- 3 4.17644- 3 1.00000+ 1 2.70000+ 1 5.43017- 4 4.21369- 3 1.00000+ 1 2.90000+ 1 2.40269- 6 4.22393- 3 1.00000+ 1 3.00000+ 1 1.76199- 5 4.22507- 3 1.10000+ 1 1.10000+ 1 1.13975- 3 3.42228- 3 1.10000+ 1 1.30000+ 1 1.02699- 2 3.65063- 3 1.10000+ 1 1.40000+ 1 6.99365- 3 3.66278- 3 1.10000+ 1 1.60000+ 1 7.25887- 3 4.10105- 3 1.10000+ 1 1.80000+ 1 1.95424- 4 4.14656- 3 1.10000+ 1 1.90000+ 1 3.42794- 4 4.15788- 3 1.10000+ 1 2.10000+ 1 9.13857- 4 4.23205- 3 1.10000+ 1 2.20000+ 1 6.51971- 4 4.23383- 3 1.10000+ 1 2.70000+ 1 1.00678- 3 4.27108- 3 1.10000+ 1 2.90000+ 1 1.84218- 5 4.28132- 3 1.10000+ 1 3.00000+ 1 3.04355- 5 4.28246- 3 1.30000+ 1 1.30000+ 1 2.23147- 3 3.87898- 3 1.30000+ 1 1.40000+ 1 8.04566- 2 3.89113- 3 1.30000+ 1 1.60000+ 1 5.52494- 3 4.32940- 3 1.30000+ 1 1.80000+ 1 2.89938- 4 4.37491- 3 1.30000+ 1 1.90000+ 1 2.03917- 3 4.38623- 3 1.30000+ 1 2.10000+ 1 6.80006- 4 4.46040- 3 1.30000+ 1 2.20000+ 1 9.05944- 3 4.46218- 3 1.30000+ 1 2.70000+ 1 7.60095- 4 4.49943- 3 1.30000+ 1 2.90000+ 1 2.88337- 5 4.50967- 3 1.30000+ 1 3.00000+ 1 1.89020- 4 4.51081- 3 1.40000+ 1 1.40000+ 1 2.26910- 2 3.90328- 3 1.40000+ 1 1.60000+ 1 7.86852- 3 4.34155- 3 1.40000+ 1 1.80000+ 1 2.63828- 3 4.38706- 3 1.40000+ 1 1.90000+ 1 1.45850- 3 4.39838- 3 1.40000+ 1 2.10000+ 1 8.97605- 3 4.47255- 3 1.40000+ 1 2.20000+ 1 5.34479- 3 4.47433- 3 1.40000+ 1 2.70000+ 1 1.08442- 3 4.51158- 3 1.40000+ 1 2.90000+ 1 2.48290- 4 4.52182- 3 1.40000+ 1 3.00000+ 1 1.36957- 4 4.52296- 3 1.60000+ 1 1.60000+ 1 4.28507- 4 4.77982- 3 1.60000+ 1 1.80000+ 1 7.79317- 4 4.82533- 3 1.60000+ 1 1.90000+ 1 1.43049- 3 4.83665- 3 1.60000+ 1 2.10000+ 1 8.46599- 4 4.91082- 3 1.60000+ 1 2.20000+ 1 1.19657- 3 4.91260- 3 1.60000+ 1 2.70000+ 1 1.23350- 4 4.94985- 3 1.60000+ 1 2.90000+ 1 7.44880- 5 4.96009- 3 1.60000+ 1 3.00000+ 1 1.32954- 4 4.96123- 3 1.80000+ 1 1.80000+ 1 1.60184- 6 4.87084- 3 1.80000+ 1 1.90000+ 1 3.68419- 5 4.88216- 3 1.80000+ 1 2.10000+ 1 3.84437- 5 4.95633- 3 1.80000+ 1 2.20000+ 1 2.77917- 4 4.95811- 3 1.80000+ 1 2.70000+ 1 1.08119- 4 4.99536- 3 1.80000+ 1 3.00000+ 1 3.20367- 6 5.00674- 3 1.90000+ 1 1.90000+ 1 2.52665- 5 4.89348- 3 1.90000+ 1 2.10000+ 1 1.89493- 4 4.96765- 3 1.90000+ 1 2.20000+ 1 1.39746- 4 4.96943- 3 1.90000+ 1 2.70000+ 1 1.95816- 4 5.00668- 3 1.90000+ 1 2.90000+ 1 3.15826- 6 5.01692- 3 1.90000+ 1 3.00000+ 1 4.73730- 6 5.01806- 3 2.10000+ 1 2.10000+ 1 4.79689- 5 5.04182- 3 2.10000+ 1 2.20000+ 1 1.05927- 3 5.04360- 3 2.10000+ 1 2.70000+ 1 1.14022- 4 5.08085- 3 2.10000+ 1 2.90000+ 1 3.93172- 6 5.09109- 3 2.10000+ 1 3.00000+ 1 1.72996- 5 5.09223- 3 2.20000+ 1 2.20000+ 1 3.26309- 4 5.04538- 3 2.20000+ 1 2.70000+ 1 1.62377- 4 5.08263- 3 2.20000+ 1 2.90000+ 1 2.60106- 5 5.09287- 3 2.20000+ 1 3.00000+ 1 1.34001- 5 5.09401- 3 2.70000+ 1 2.70000+ 1 6.78771- 6 5.11988- 3 2.70000+ 1 2.90000+ 1 8.02247- 6 5.13012- 3 2.70000+ 1 3.00000+ 1 1.41927- 5 5.13126- 3 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 5.67999- 8 3.03000- 4 8.00000+ 0 3.92489- 3 3.80210- 3 1.10000+ 1 5.50079- 5 3.98769- 3 1.30000+ 1 7.02248- 2 4.21604- 3 1.60000+ 1 5.40509- 4 4.66646- 3 1.90000+ 1 6.31929- 6 4.72329- 3 2.10000+ 1 1.00360- 2 4.79746- 3 2.70000+ 1 6.10559- 5 4.83649- 3 3.00000+ 1 5.28549- 7 4.84787- 3 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.14294- 2 1.11960- 4 6.00000+ 0 1.80000+ 1 5.04681- 2 1.57470- 4 6.00000+ 0 1.90000+ 1 1.76294- 2 1.68790- 4 6.00000+ 0 2.10000+ 1 6.42816- 2 2.42960- 4 6.00000+ 0 2.20000+ 1 2.38704- 2 2.44740- 4 6.00000+ 0 2.70000+ 1 1.53723- 3 2.81990- 4 6.00000+ 0 2.90000+ 1 4.57738- 3 2.92230- 4 6.00000+ 0 3.00000+ 1 1.62607- 3 2.93370- 4 8.00000+ 0 8.00000+ 0 1.02794- 3 2.74670- 3 8.00000+ 0 1.00000+ 1 2.48945- 2 2.87490- 3 8.00000+ 0 1.10000+ 1 2.43523- 3 2.93229- 3 8.00000+ 0 1.30000+ 1 1.83807- 3 3.16064- 3 8.00000+ 0 1.40000+ 1 3.52278- 3 3.17279- 3 8.00000+ 0 1.60000+ 1 3.51358- 4 3.61106- 3 8.00000+ 0 1.80000+ 1 3.40613- 3 3.65657- 3 8.00000+ 0 1.90000+ 1 4.26120- 4 3.66789- 3 8.00000+ 0 2.10000+ 1 2.08388- 4 3.74206- 3 8.00000+ 0 2.20000+ 1 3.41084- 4 3.74384- 3 8.00000+ 0 2.70000+ 1 5.04623- 5 3.78109- 3 8.00000+ 0 2.90000+ 1 3.06500- 4 3.79133- 3 8.00000+ 0 3.00000+ 1 3.83112- 5 3.79247- 3 1.00000+ 1 1.00000+ 1 2.45287- 2 3.00310- 3 1.00000+ 1 1.10000+ 1 7.69105- 2 3.06049- 3 1.00000+ 1 1.30000+ 1 4.18445- 2 3.28884- 3 1.00000+ 1 1.40000+ 1 7.14703- 2 3.30099- 3 1.00000+ 1 1.60000+ 1 5.46847- 3 3.73926- 3 1.00000+ 1 1.80000+ 1 8.35310- 3 3.78477- 3 1.00000+ 1 1.90000+ 1 1.48648- 2 3.79609- 3 1.00000+ 1 2.10000+ 1 6.41213- 3 3.87026- 3 1.00000+ 1 2.20000+ 1 1.09464- 2 3.87204- 3 1.00000+ 1 2.70000+ 1 8.12951- 4 3.90929- 3 1.00000+ 1 2.90000+ 1 7.81188- 4 3.91953- 3 1.00000+ 1 3.00000+ 1 1.37634- 3 3.92067- 3 1.10000+ 1 1.10000+ 1 2.02405- 3 3.11788- 3 1.10000+ 1 1.30000+ 1 5.02422- 2 3.34623- 3 1.10000+ 1 1.40000+ 1 6.76265- 3 3.35838- 3 1.10000+ 1 1.60000+ 1 4.59773- 4 3.79665- 3 1.10000+ 1 1.80000+ 1 1.09056- 2 3.84216- 3 1.10000+ 1 1.90000+ 1 6.60668- 4 3.85348- 3 1.10000+ 1 2.10000+ 1 6.62249- 3 3.92765- 3 1.10000+ 1 2.20000+ 1 8.34471- 4 3.92943- 3 1.10000+ 1 2.70000+ 1 6.63489- 5 3.96668- 3 1.10000+ 1 2.90000+ 1 9.87766- 4 3.97692- 3 1.10000+ 1 3.00000+ 1 5.98061- 5 3.97806- 3 1.30000+ 1 1.30000+ 1 4.58917- 2 3.57458- 3 1.30000+ 1 1.40000+ 1 1.96844- 1 3.58673- 3 1.30000+ 1 1.60000+ 1 4.09295- 4 4.02500- 3 1.30000+ 1 1.80000+ 1 5.94594- 3 4.07051- 3 1.30000+ 1 1.90000+ 1 9.17743- 3 4.08183- 3 1.30000+ 1 2.10000+ 1 1.20861- 2 4.15600- 3 1.30000+ 1 2.20000+ 1 2.76909- 2 4.15778- 3 1.30000+ 1 2.70000+ 1 6.07410- 5 4.19503- 3 1.30000+ 1 2.90000+ 1 5.41062- 4 4.20527- 3 1.30000+ 1 3.00000+ 1 8.41970- 4 4.20641- 3 1.40000+ 1 1.40000+ 1 9.37876- 3 3.59888- 3 1.40000+ 1 1.60000+ 1 6.49444- 4 4.03715- 3 1.40000+ 1 1.80000+ 1 9.04942- 3 4.08266- 3 1.40000+ 1 1.90000+ 1 1.13067- 3 4.09398- 3 1.40000+ 1 2.10000+ 1 2.20603- 2 4.16815- 3 1.40000+ 1 2.20000+ 1 2.40632- 3 4.16993- 3 1.40000+ 1 2.70000+ 1 9.34485- 5 4.20718- 3 1.40000+ 1 2.90000+ 1 8.03639- 4 4.21742- 3 1.40000+ 1 3.00000+ 1 1.01863- 4 4.21856- 3 1.60000+ 1 1.60000+ 1 3.15393- 5 4.47542- 3 1.60000+ 1 1.80000+ 1 8.17978- 4 4.52093- 3 1.60000+ 1 1.90000+ 1 8.74965- 5 4.53225- 3 1.60000+ 1 2.10000+ 1 4.88349- 5 4.60642- 3 1.60000+ 1 2.20000+ 1 7.01987- 5 4.60820- 3 1.60000+ 1 2.70000+ 1 9.15680- 6 4.64545- 3 1.60000+ 1 2.90000+ 1 7.32540- 5 4.65569- 3 1.60000+ 1 3.00000+ 1 8.13937- 6 4.65683- 3 1.80000+ 1 1.80000+ 1 6.40191- 4 4.56644- 3 1.80000+ 1 1.90000+ 1 1.98201- 3 4.57776- 3 1.80000+ 1 2.10000+ 1 8.43026- 4 4.65193- 3 1.80000+ 1 2.20000+ 1 1.31112- 3 4.65371- 3 1.80000+ 1 2.70000+ 1 1.05380- 4 4.69096- 3 1.80000+ 1 2.90000+ 1 1.19426- 4 4.70120- 3 1.80000+ 1 3.00000+ 1 1.83535- 4 4.70234- 3 1.90000+ 1 1.90000+ 1 5.19761- 5 4.58908- 3 1.90000+ 1 2.10000+ 1 1.16949- 3 4.66325- 3 1.90000+ 1 2.20000+ 1 1.37106- 4 4.66503- 3 1.90000+ 1 2.70000+ 1 1.16499- 5 4.70228- 3 1.90000+ 1 2.90000+ 1 1.82812- 4 4.71252- 3 1.90000+ 1 3.00000+ 1 9.85780- 6 4.71366- 3 2.10000+ 1 2.10000+ 1 7.72474- 4 4.73742- 3 2.10000+ 1 2.20000+ 1 3.13948- 3 4.73920- 3 2.10000+ 1 2.70000+ 1 6.42197- 6 4.77645- 3 2.10000+ 1 2.90000+ 1 7.98159- 5 4.78669- 3 2.10000+ 1 3.00000+ 1 1.10093- 4 4.78783- 3 2.20000+ 1 2.20000+ 1 1.49357- 4 4.74098- 3 2.20000+ 1 2.70000+ 1 8.99792- 6 4.77823- 3 2.20000+ 1 2.90000+ 1 1.19668- 4 4.78847- 3 2.20000+ 1 3.00000+ 1 1.25968- 5 4.78961- 3 2.70000+ 1 2.70000+ 1 7.81687- 7 4.81548- 3 2.70000+ 1 2.90000+ 1 8.59860- 6 4.82572- 3 2.70000+ 1 3.00000+ 1 7.81687- 7 4.82686- 3 2.90000+ 1 2.90000+ 1 5.67346- 6 4.83596- 3 2.90000+ 1 3.00000+ 1 1.70205- 5 4.83710- 3 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 7.05937- 3 3.49910- 3 1.00000+ 1 3.82208- 5 3.62730- 3 1.10000+ 1 3.56368- 5 3.68469- 3 1.30000+ 1 6.98697- 3 3.91304- 3 1.40000+ 1 6.19427- 2 3.92519- 3 1.60000+ 1 5.96297- 4 4.36346- 3 1.80000+ 1 3.11799- 6 4.40897- 3 1.90000+ 1 2.99079- 6 4.42029- 3 2.10000+ 1 9.74006- 4 4.49446- 3 2.20000+ 1 8.67596- 3 4.49624- 3 2.70000+ 1 7.92526- 5 4.53349- 3 2.90000+ 1 2.70649- 7 4.54373- 3 3.00000+ 1 2.49149- 7 4.54487- 3 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.35310- 3 2.44370- 3 8.00000+ 0 1.00000+ 1 9.72469- 4 2.57190- 3 8.00000+ 0 1.10000+ 1 2.88831- 2 2.62929- 3 8.00000+ 0 1.30000+ 1 2.87269- 3 2.85764- 3 8.00000+ 0 1.40000+ 1 3.08991- 3 2.86979- 3 8.00000+ 0 1.60000+ 1 4.63882- 4 3.30806- 3 8.00000+ 0 1.80000+ 1 1.60377- 4 3.35357- 3 8.00000+ 0 1.90000+ 1 3.94770- 3 3.36489- 3 8.00000+ 0 2.10000+ 1 2.42613- 4 3.43906- 3 8.00000+ 0 2.20000+ 1 2.41591- 4 3.44084- 3 8.00000+ 0 2.70000+ 1 6.59816- 5 3.47809- 3 8.00000+ 0 2.90000+ 1 1.52269- 5 3.48833- 3 8.00000+ 0 3.00000+ 1 3.46150- 4 3.48947- 3 1.00000+ 1 1.00000+ 1 3.21783- 4 2.70010- 3 1.00000+ 1 1.10000+ 1 4.81238- 2 2.75749- 3 1.00000+ 1 1.30000+ 1 3.27369- 3 2.98584- 3 1.00000+ 1 1.40000+ 1 2.92012- 2 2.99799- 3 1.00000+ 1 1.60000+ 1 1.79665- 4 3.43626- 3 1.00000+ 1 1.80000+ 1 1.06581- 4 3.48177- 3 1.00000+ 1 1.90000+ 1 6.81035- 3 3.49309- 3 1.00000+ 1 2.10000+ 1 4.67954- 4 3.56726- 3 1.00000+ 1 2.20000+ 1 3.63807- 3 3.56904- 3 1.00000+ 1 2.70000+ 1 2.63923- 5 3.60629- 3 1.00000+ 1 2.90000+ 1 1.01505- 5 3.61653- 3 1.00000+ 1 3.00000+ 1 6.00942- 4 3.61767- 3 1.10000+ 1 1.10000+ 1 6.77243- 2 2.81488- 3 1.10000+ 1 1.30000+ 1 6.91858- 2 3.04323- 3 1.10000+ 1 1.40000+ 1 1.04721- 1 3.05538- 3 1.10000+ 1 1.60000+ 1 6.27961- 3 3.49365- 3 1.10000+ 1 1.80000+ 1 9.17734- 3 3.53916- 3 1.10000+ 1 1.90000+ 1 2.26488- 2 3.55048- 3 1.10000+ 1 2.10000+ 1 1.02358- 2 3.62465- 3 1.10000+ 1 2.20000+ 1 1.52771- 2 3.62643- 3 1.10000+ 1 2.70000+ 1 9.32901- 4 3.66368- 3 1.10000+ 1 2.90000+ 1 8.70966- 4 3.67392- 3 1.10000+ 1 3.00000+ 1 2.05556- 3 3.67506- 3 1.30000+ 1 1.30000+ 1 1.01182- 2 3.27158- 3 1.30000+ 1 1.40000+ 1 1.94016- 1 3.28373- 3 1.30000+ 1 1.60000+ 1 5.81636- 4 3.72200- 3 1.30000+ 1 1.80000+ 1 6.20206- 4 3.76751- 3 1.30000+ 1 1.90000+ 1 9.15953- 3 3.77883- 3 1.30000+ 1 2.10000+ 1 2.66959- 3 3.85300- 3 1.30000+ 1 2.20000+ 1 2.20602- 2 3.85478- 3 1.30000+ 1 2.70000+ 1 8.52661- 5 3.89203- 3 1.30000+ 1 2.90000+ 1 5.88734- 5 3.90227- 3 1.30000+ 1 3.00000+ 1 7.99866- 4 3.90341- 3 1.40000+ 1 1.40000+ 1 1.31777- 1 3.29588- 3 1.40000+ 1 1.60000+ 1 6.66903- 4 3.73415- 3 1.40000+ 1 1.80000+ 1 5.19620- 3 3.77966- 3 1.40000+ 1 1.90000+ 1 1.54901- 2 3.79098- 3 1.40000+ 1 2.10000+ 1 2.58880- 2 3.86515- 3 1.40000+ 1 2.20000+ 1 3.33216- 2 3.86693- 3 1.40000+ 1 2.70000+ 1 9.94772- 5 3.90418- 3 1.40000+ 1 2.90000+ 1 4.88247- 4 3.91442- 3 1.40000+ 1 3.00000+ 1 1.38153- 3 3.91556- 3 1.60000+ 1 1.60000+ 1 4.38749- 5 4.17242- 3 1.60000+ 1 1.80000+ 1 3.37502- 5 4.21793- 3 1.60000+ 1 1.90000+ 1 9.54016- 4 4.22925- 3 1.60000+ 1 2.10000+ 1 5.73734- 5 4.30342- 3 1.60000+ 1 2.20000+ 1 6.18766- 5 4.30520- 3 1.60000+ 1 2.70000+ 1 1.23758- 5 4.34245- 3 1.60000+ 1 2.90000+ 1 3.37502- 6 4.35269- 3 1.60000+ 1 3.00000+ 1 8.32521- 5 4.35383- 3 1.80000+ 1 1.80000+ 1 7.64967- 6 4.26344- 3 1.80000+ 1 1.90000+ 1 1.22101- 3 4.27476- 3 1.80000+ 1 2.10000+ 1 8.22317- 5 4.34893- 3 1.80000+ 1 2.20000+ 1 6.26306- 4 4.35071- 3 1.80000+ 1 2.70000+ 1 3.82459- 6 4.38796- 3 1.80000+ 1 2.90000+ 1 1.91230- 6 4.39820- 3 1.80000+ 1 3.00000+ 1 1.08052- 4 4.39934- 3 1.90000+ 1 1.90000+ 1 1.69339- 3 4.28608- 3 1.90000+ 1 2.10000+ 1 1.25370- 3 4.36025- 3 1.90000+ 1 2.20000+ 1 2.06291- 3 4.36203- 3 1.90000+ 1 2.70000+ 1 1.18138- 4 4.39928- 3 1.90000+ 1 2.90000+ 1 1.13452- 4 4.40952- 3 1.90000+ 1 3.00000+ 1 3.05677- 4 4.41066- 3 2.10000+ 1 2.10000+ 1 1.68437- 4 4.43442- 3 2.10000+ 1 2.20000+ 1 2.97019- 3 4.43620- 3 2.10000+ 1 2.70000+ 1 7.97368- 6 4.47345- 3 2.10000+ 1 2.90000+ 1 7.97368- 6 4.48369- 3 2.10000+ 1 3.00000+ 1 1.16611- 4 4.48483- 3 2.20000+ 1 2.20000+ 1 2.16663- 3 4.43798- 3 2.20000+ 1 2.70000+ 1 8.31765- 6 4.47523- 3 2.20000+ 1 2.90000+ 1 6.44609- 5 4.48547- 3 2.20000+ 1 3.00000+ 1 2.03776- 4 4.48661- 3 2.70000+ 1 2.70000+ 1 1.37812- 6 4.51248- 3 2.70000+ 1 3.00000+ 1 1.51608- 5 4.52386- 3 2.90000+ 1 3.00000+ 1 1.00580- 5 4.53410- 3 3.00000+ 1 3.00000+ 1 1.38529- 5 4.53524- 3 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.18601- 5 1.28200- 4 1.10000+ 1 7.47920- 5 1.85590- 4 1.80000+ 1 1.97547- 4 9.09870- 4 1.90000+ 1 2.70957- 4 9.21190- 4 2.90000+ 1 1.88593- 5 1.04463- 3 3.00000+ 1 2.53822- 5 1.04577- 3 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.90000+ 1 8.79158- 2 0.00000+ 0 1.00000+ 1 2.10000+ 1 7.21454- 2 6.81600- 5 1.00000+ 1 2.20000+ 1 9.87565- 2 6.99400- 5 1.00000+ 1 2.70000+ 1 6.97089- 3 1.07190- 4 1.00000+ 1 2.90000+ 1 4.00405- 3 1.17430- 4 1.00000+ 1 3.00000+ 1 6.73592- 3 1.18570- 4 1.10000+ 1 1.60000+ 1 6.58161- 2 0.00000+ 0 1.10000+ 1 1.80000+ 1 8.14973- 2 4.00600- 5 1.10000+ 1 1.90000+ 1 1.25568- 1 5.13800- 5 1.10000+ 1 2.10000+ 1 5.59498- 2 1.25550- 4 1.10000+ 1 2.20000+ 1 8.17873- 2 1.27330- 4 1.10000+ 1 2.70000+ 1 9.77695- 3 1.64580- 4 1.10000+ 1 2.90000+ 1 5.87052- 3 1.74820- 4 1.10000+ 1 3.00000+ 1 8.86628- 3 1.75960- 4 1.30000+ 1 1.60000+ 1 2.97374- 2 2.22900- 4 1.30000+ 1 1.80000+ 1 6.21784- 3 2.68410- 4 1.30000+ 1 1.90000+ 1 4.84196- 3 2.79730- 4 1.30000+ 1 2.10000+ 1 7.57530- 3 3.53900- 4 1.30000+ 1 2.20000+ 1 9.23990- 3 3.55680- 4 1.30000+ 1 2.70000+ 1 2.81470- 3 3.92930- 4 1.30000+ 1 2.90000+ 1 3.95867- 4 4.03170- 4 1.30000+ 1 3.00000+ 1 2.87454- 4 4.04310- 4 1.40000+ 1 1.60000+ 1 4.34890- 2 2.35050- 4 1.40000+ 1 1.80000+ 1 1.57592- 3 2.80560- 4 1.40000+ 1 1.90000+ 1 1.22044- 2 2.91880- 4 1.40000+ 1 2.10000+ 1 9.74457- 3 3.66050- 4 1.40000+ 1 2.20000+ 1 1.53719- 2 3.67830- 4 1.40000+ 1 2.70000+ 1 4.09733- 3 4.05080- 4 1.40000+ 1 2.90000+ 1 9.31129- 5 4.15320- 4 1.40000+ 1 3.00000+ 1 7.30187- 4 4.16460- 4 1.60000+ 1 1.60000+ 1 8.91742- 3 6.73320- 4 1.60000+ 1 1.80000+ 1 1.42686- 2 7.18830- 4 1.60000+ 1 1.90000+ 1 2.62932- 2 7.30150- 4 1.60000+ 1 2.10000+ 1 2.50743- 2 8.04320- 4 1.60000+ 1 2.20000+ 1 3.65247- 2 8.06100- 4 1.60000+ 1 2.70000+ 1 2.00069- 3 8.43350- 4 1.60000+ 1 2.90000+ 1 1.10321- 3 8.53590- 4 1.60000+ 1 3.00000+ 1 1.93309- 3 8.54730- 4 1.80000+ 1 1.80000+ 1 8.08363- 4 7.64340- 4 1.80000+ 1 1.90000+ 1 1.96665- 3 7.75660- 4 1.80000+ 1 2.10000+ 1 1.13927- 3 8.49830- 4 1.80000+ 1 2.20000+ 1 4.03279- 4 8.51610- 4 1.80000+ 1 2.70000+ 1 1.30116- 3 8.88860- 4 1.80000+ 1 2.90000+ 1 1.04886- 4 8.99100- 4 1.80000+ 1 3.00000+ 1 1.17549- 4 9.00240- 4 1.90000+ 1 1.90000+ 1 2.52973- 3 7.86980- 4 1.90000+ 1 2.10000+ 1 1.03586- 3 8.61150- 4 1.90000+ 1 2.20000+ 1 2.93661- 3 8.62930- 4 1.90000+ 1 2.70000+ 1 2.31112- 3 9.00180- 4 1.90000+ 1 2.90000+ 1 1.24927- 4 9.10420- 4 1.90000+ 1 3.00000+ 1 3.19269- 4 9.11560- 4 2.10000+ 1 2.10000+ 1 3.09033- 4 9.35320- 4 2.10000+ 1 2.20000+ 1 1.04405- 3 9.37100- 4 2.10000+ 1 2.70000+ 1 2.18502- 3 9.74350- 4 2.10000+ 1 2.90000+ 1 6.63444- 5 9.84590- 4 2.10000+ 1 3.00000+ 1 6.11040- 5 9.85730- 4 2.20000+ 1 2.20000+ 1 7.18936- 4 9.38880- 4 2.20000+ 1 2.70000+ 1 3.19586- 3 9.76130- 4 2.20000+ 1 2.90000+ 1 2.19197- 5 9.86370- 4 2.20000+ 1 3.00000+ 1 1.77114- 4 9.87510- 4 2.70000+ 1 2.70000+ 1 8.83153- 5 1.01338- 3 2.70000+ 1 2.90000+ 1 8.30781- 5 1.02362- 3 2.70000+ 1 3.00000+ 1 1.46693- 4 1.02476- 3 2.90000+ 1 2.90000+ 1 1.46804- 6 1.03386- 3 2.90000+ 1 3.00000+ 1 3.91473- 6 1.03500- 3 3.00000+ 1 3.00000+ 1 6.68222- 6 1.03614- 3 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.15773- 4 2.85740- 4 1.60000+ 1 2.76166- 4 7.36160- 4 2.10000+ 1 9.85329- 4 8.67160- 4 2.70000+ 1 3.97036- 5 9.06190- 4 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 2.02172- 2 0.00000+ 0 1.10000+ 1 2.20000+ 1 5.00399- 2 0.00000+ 0 1.10000+ 1 2.70000+ 1 7.73556- 3 3.63800- 5 1.10000+ 1 2.90000+ 1 5.15206- 3 4.66200- 5 1.10000+ 1 3.00000+ 1 6.12326- 3 4.77600- 5 1.30000+ 1 1.60000+ 1 1.25747- 1 9.47000- 5 1.30000+ 1 1.80000+ 1 1.27274- 1 1.40210- 4 1.30000+ 1 1.90000+ 1 1.87741- 1 1.51530- 4 1.30000+ 1 2.10000+ 1 5.08484- 2 2.25700- 4 1.30000+ 1 2.20000+ 1 5.39554- 2 2.27480- 4 1.30000+ 1 2.70000+ 1 1.69842- 2 2.64730- 4 1.30000+ 1 2.90000+ 1 8.72453- 3 2.74970- 4 1.30000+ 1 3.00000+ 1 1.33358- 2 2.76110- 4 1.40000+ 1 1.60000+ 1 2.15085- 2 1.06850- 4 1.40000+ 1 1.80000+ 1 1.55248- 1 1.52360- 4 1.40000+ 1 1.90000+ 1 1.62976- 2 1.63680- 4 1.40000+ 1 2.10000+ 1 3.48616- 3 2.37850- 4 1.40000+ 1 2.20000+ 1 6.74609- 3 2.39630- 4 1.40000+ 1 2.70000+ 1 1.98399- 3 2.76880- 4 1.40000+ 1 2.90000+ 1 9.00224- 3 2.87120- 4 1.40000+ 1 3.00000+ 1 1.06042- 3 2.88260- 4 1.60000+ 1 1.60000+ 1 7.22799- 4 5.45120- 4 1.60000+ 1 1.80000+ 1 1.02704- 2 5.90630- 4 1.60000+ 1 1.90000+ 1 1.67678- 3 6.01950- 4 1.60000+ 1 2.10000+ 1 3.68727- 4 6.76120- 4 1.60000+ 1 2.20000+ 1 1.04761- 3 6.77900- 4 1.60000+ 1 2.70000+ 1 1.54751- 4 7.15150- 4 1.60000+ 1 2.90000+ 1 5.69328- 4 7.25390- 4 1.60000+ 1 3.00000+ 1 1.12084- 4 7.26530- 4 1.80000+ 1 1.80000+ 1 7.20080- 3 6.36140- 4 1.80000+ 1 1.90000+ 1 2.25110- 2 6.47460- 4 1.80000+ 1 2.10000+ 1 1.87645- 2 7.21630- 4 1.80000+ 1 2.20000+ 1 3.12219- 2 7.23410- 4 1.80000+ 1 2.70000+ 1 1.36490- 3 7.60660- 4 1.80000+ 1 2.90000+ 1 9.68283- 4 7.70900- 4 1.80000+ 1 3.00000+ 1 1.65081- 3 7.72040- 4 1.90000+ 1 1.90000+ 1 6.40000- 4 6.58780- 4 1.90000+ 1 2.10000+ 1 1.99098- 3 7.32950- 4 1.90000+ 1 2.20000+ 1 1.43155- 3 7.34730- 4 1.90000+ 1 2.70000+ 1 1.66429- 4 7.71980- 4 1.90000+ 1 2.90000+ 1 1.35304- 3 7.82220- 4 1.90000+ 1 3.00000+ 1 8.05093- 5 7.83360- 4 2.10000+ 1 2.10000+ 1 6.48047- 4 8.07120- 4 2.10000+ 1 2.20000+ 1 1.58030- 3 8.08900- 4 2.10000+ 1 2.70000+ 1 4.43611- 5 8.46150- 4 2.10000+ 1 2.90000+ 1 1.05053- 3 8.56390- 4 2.10000+ 1 3.00000+ 1 1.17653- 4 8.57530- 4 2.20000+ 1 2.20000+ 1 1.98305- 4 8.10680- 4 2.20000+ 1 2.70000+ 1 5.47166- 5 8.47930- 4 2.20000+ 1 2.90000+ 1 9.12919- 4 8.58170- 4 2.20000+ 1 3.00000+ 1 4.11193- 5 8.59310- 4 2.70000+ 1 2.70000+ 1 6.90180- 6 8.85180- 4 2.70000+ 1 2.90000+ 1 6.31782- 5 8.95420- 4 2.70000+ 1 3.00000+ 1 9.02539- 6 8.96560- 4 2.90000+ 1 2.90000+ 1 1.58996- 5 9.05660- 4 2.90000+ 1 3.00000+ 1 5.95230- 5 9.06800- 4 3.00000+ 1 3.00000+ 1 1.64415- 6 9.07940- 4 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.30088- 5 2.28350- 4 1.40000+ 1 2.47498- 4 2.40500- 4 1.60000+ 1 3.48651- 4 6.78770- 4 2.10000+ 1 1.23532- 4 8.09770- 4 2.20000+ 1 1.01966- 3 8.11550- 4 2.70000+ 1 4.96183- 5 8.48800- 4 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 2.69811- 2 3.73100- 5 1.30000+ 1 1.80000+ 1 1.84223- 2 8.28200- 5 1.30000+ 1 1.90000+ 1 1.09499- 1 9.41400- 5 1.30000+ 1 2.10000+ 1 1.28571- 2 1.68310- 4 1.30000+ 1 2.20000+ 1 9.29526- 3 1.70090- 4 1.30000+ 1 2.70000+ 1 2.82867- 3 2.07340- 4 1.30000+ 1 2.90000+ 1 1.33788- 3 2.17580- 4 1.30000+ 1 3.00000+ 1 6.43915- 3 2.18720- 4 1.40000+ 1 1.60000+ 1 1.18103- 1 4.94600- 5 1.40000+ 1 1.80000+ 1 1.22344- 1 9.49700- 5 1.40000+ 1 1.90000+ 1 2.42638- 1 1.06290- 4 1.40000+ 1 2.10000+ 1 4.93172- 2 1.80460- 4 1.40000+ 1 2.20000+ 1 8.31954- 2 1.82240- 4 1.40000+ 1 2.70000+ 1 1.59281- 2 2.19490- 4 1.40000+ 1 2.90000+ 1 8.98459- 3 2.29730- 4 1.40000+ 1 3.00000+ 1 1.58222- 2 2.30870- 4 1.60000+ 1 1.60000+ 1 8.22802- 4 4.87730- 4 1.60000+ 1 1.80000+ 1 1.20087- 3 5.33240- 4 1.60000+ 1 1.90000+ 1 1.73790- 2 5.44560- 4 1.60000+ 1 2.10000+ 1 9.92989- 4 6.18730- 4 1.60000+ 1 2.20000+ 1 1.08966- 3 6.20510- 4 1.60000+ 1 2.70000+ 1 1.75972- 4 6.57760- 4 1.60000+ 1 2.90000+ 1 7.92863- 5 6.68000- 4 1.60000+ 1 3.00000+ 1 9.32086- 4 6.69140- 4 1.80000+ 1 1.80000+ 1 1.94470- 4 5.78750- 4 1.80000+ 1 1.90000+ 1 1.91102- 2 5.90070- 4 1.80000+ 1 2.10000+ 1 5.24337- 4 6.64240- 4 1.80000+ 1 2.20000+ 1 2.94110- 3 6.66020- 4 1.80000+ 1 2.70000+ 1 1.14399- 4 7.03270- 4 1.80000+ 1 2.90000+ 1 2.47855- 5 7.13510- 4 1.80000+ 1 3.00000+ 1 1.03628- 3 7.14650- 4 1.90000+ 1 1.90000+ 1 2.45950- 2 6.01390- 4 1.90000+ 1 2.10000+ 1 2.99649- 2 6.75560- 4 1.90000+ 1 2.20000+ 1 4.07859- 2 6.77340- 4 1.90000+ 1 2.70000+ 1 1.96564- 3 7.14590- 4 1.90000+ 1 2.90000+ 1 1.28897- 3 7.24830- 4 1.90000+ 1 3.00000+ 1 3.13905- 3 7.25970- 4 2.10000+ 1 2.10000+ 1 1.67204- 4 7.49730- 4 2.10000+ 1 2.20000+ 1 1.82249- 3 7.51510- 4 2.10000+ 1 2.70000+ 1 5.73792- 5 7.88760- 4 2.10000+ 1 2.90000+ 1 1.85092- 5 7.99000- 4 2.10000+ 1 3.00000+ 1 1.19078- 3 8.00140- 4 2.20000+ 1 2.20000+ 1 9.36502- 4 7.53290- 4 2.20000+ 1 2.70000+ 1 5.55383- 5 7.90540- 4 2.20000+ 1 2.90000+ 1 8.66187- 5 8.00780- 4 2.20000+ 1 3.00000+ 1 1.33039- 3 8.01920- 4 2.70000+ 1 2.70000+ 1 5.15076- 6 8.27790- 4 2.70000+ 1 2.90000+ 1 4.12067- 6 8.38030- 4 2.70000+ 1 3.00000+ 1 6.43829- 5 8.39170- 4 2.90000+ 1 2.90000+ 1 5.15077- 7 8.48270- 4 2.90000+ 1 3.00000+ 1 4.27514- 5 8.49410- 4 3.00000+ 1 3.00000+ 1 5.56282- 5 8.50550- 4 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.54270- 3 4.95930- 4 1.90000+ 1 2.46300- 4 5.07250- 4 2.90000+ 1 1.28520- 4 6.30690- 4 3.00000+ 1 1.96650- 5 6.31830- 4 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.90000+ 1 3.38489- 3 1.38000- 6 1.40000+ 1 3.00000+ 1 1.02811- 2 2.52000- 6 1.60000+ 1 1.60000+ 1 6.84787- 5 2.59380- 4 1.60000+ 1 1.80000+ 1 6.38803- 3 3.04890- 4 1.60000+ 1 1.90000+ 1 5.33157- 3 3.16210- 4 1.60000+ 1 2.10000+ 1 1.15812- 1 3.90380- 4 1.60000+ 1 2.20000+ 1 1.68894- 2 3.92160- 4 1.60000+ 1 2.70000+ 1 2.93474- 5 4.29410- 4 1.60000+ 1 2.90000+ 1 3.91313- 4 4.39650- 4 1.60000+ 1 3.00000+ 1 2.39662- 4 4.40790- 4 1.80000+ 1 1.80000+ 1 1.80983- 3 3.50400- 4 1.80000+ 1 1.90000+ 1 1.79904- 2 3.61720- 4 1.80000+ 1 2.10000+ 1 9.12801- 2 4.35890- 4 1.80000+ 1 2.20000+ 1 8.04146- 3 4.37670- 4 1.80000+ 1 2.70000+ 1 4.05992- 4 4.74920- 4 1.80000+ 1 2.90000+ 1 2.49455- 4 4.85160- 4 1.80000+ 1 3.00000+ 1 1.00278- 3 4.86300- 4 1.90000+ 1 1.90000+ 1 7.05347- 3 3.73040- 4 1.90000+ 1 2.10000+ 1 2.01890- 1 4.47210- 4 1.90000+ 1 2.20000+ 1 7.83106- 3 4.48990- 4 1.90000+ 1 2.70000+ 1 4.25550- 4 4.86240- 4 1.90000+ 1 2.90000+ 1 1.04191- 3 4.96480- 4 1.90000+ 1 3.00000+ 1 7.67957- 4 4.97620- 4 2.10000+ 1 2.10000+ 1 1.49466- 1 5.21380- 4 2.10000+ 1 2.20000+ 1 3.07351- 1 5.23160- 4 2.10000+ 1 2.70000+ 1 1.38522- 2 5.60410- 4 2.10000+ 1 2.90000+ 1 7.06321- 3 5.70650- 4 2.10000+ 1 3.00000+ 1 1.45272- 2 5.71790- 4 2.20000+ 1 2.20000+ 1 5.06749- 3 5.24940- 4 2.20000+ 1 2.70000+ 1 1.12018- 3 5.62190- 4 2.20000+ 1 2.90000+ 1 4.25547- 4 5.72430- 4 2.20000+ 1 3.00000+ 1 4.64680- 4 5.73570- 4 2.70000+ 1 2.90000+ 1 2.93480- 5 6.09680- 4 2.70000+ 1 3.00000+ 1 1.95660- 5 6.10820- 4 2.90000+ 1 2.90000+ 1 3.58687- 6 6.19920- 4 2.90000+ 1 3.00000+ 1 4.66291- 5 6.21060- 4 3.00000+ 1 3.00000+ 1 1.95660- 5 6.22200- 4 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.66508- 3 4.95100- 4 3.00000+ 1 1.32809- 4 6.19680- 4 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.75311- 4 2.47230- 4 1.60000+ 1 1.80000+ 1 2.95120- 3 2.92740- 4 1.60000+ 1 1.90000+ 1 9.90049- 3 3.04060- 4 1.60000+ 1 2.10000+ 1 1.25452- 2 3.78230- 4 1.60000+ 1 2.20000+ 1 1.23305- 1 3.80010- 4 1.60000+ 1 2.70000+ 1 3.89587- 5 4.17260- 4 1.60000+ 1 2.90000+ 1 1.07138- 4 4.27500- 4 1.60000+ 1 3.00000+ 1 5.35689- 4 4.28640- 4 1.80000+ 1 1.90000+ 1 1.78970- 2 3.49570- 4 1.80000+ 1 2.10000+ 1 1.40733- 3 4.23740- 4 1.80000+ 1 2.20000+ 1 1.13251- 1 4.25520- 4 1.80000+ 1 2.70000+ 1 2.09417- 4 4.62770- 4 1.80000+ 1 3.00000+ 1 9.93477- 4 4.74150- 4 1.90000+ 1 1.90000+ 1 1.32276- 2 3.60890- 4 1.90000+ 1 2.10000+ 1 1.04265- 2 4.35060- 4 1.90000+ 1 2.20000+ 1 1.87009- 1 4.36840- 4 1.90000+ 1 2.70000+ 1 7.15892- 4 4.74090- 4 1.90000+ 1 2.90000+ 1 9.69124- 4 4.84330- 4 1.90000+ 1 3.00000+ 1 1.50969- 3 4.85470- 4 2.10000+ 1 2.10000+ 1 2.07946- 3 5.09230- 4 2.10000+ 1 2.20000+ 1 2.13718- 1 5.11010- 4 2.10000+ 1 2.70000+ 1 8.23009- 4 5.48260- 4 2.10000+ 1 2.90000+ 1 1.02266- 4 5.58500- 4 2.10000+ 1 3.00000+ 1 5.55166- 4 5.59640- 4 2.20000+ 1 2.20000+ 1 2.47234- 1 5.12790- 4 2.20000+ 1 2.70000+ 1 1.43119- 2 5.50040- 4 2.20000+ 1 2.90000+ 1 8.47865- 3 5.60280- 4 2.20000+ 1 3.00000+ 1 1.35530- 2 5.61420- 4 2.70000+ 1 2.90000+ 1 5.82756- 6 5.97530- 4 2.70000+ 1 3.00000+ 1 5.24479- 5 5.98670- 4 2.90000+ 1 3.00000+ 1 5.84394- 5 6.08910- 4 3.00000+ 1 3.00000+ 1 5.52515- 5 6.10050- 4 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.15500- 5 4.55100- 5 1.90000+ 1 4.13561- 5 5.68300- 5 2.90000+ 1 6.85555- 6 1.80270- 4 3.00000+ 1 6.45112- 6 1.81410- 4 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.70000+ 1 7.11118- 2 2.45000- 5 1.80000+ 1 2.90000+ 1 3.36908- 2 3.47400- 5 1.80000+ 1 3.00000+ 1 7.86198- 2 3.58800- 5 1.90000+ 1 2.10000+ 1 7.94422- 2 0.00000+ 0 1.90000+ 1 2.20000+ 1 1.93271- 1 0.00000+ 0 1.90000+ 1 2.70000+ 1 9.61990- 2 3.58200- 5 1.90000+ 1 2.90000+ 1 6.67229- 2 4.60600- 5 1.90000+ 1 3.00000+ 1 9.14419- 2 4.72000- 5 2.10000+ 1 2.10000+ 1 4.72047- 3 7.09600- 5 2.10000+ 1 2.20000+ 1 8.19960- 2 7.27400- 5 2.10000+ 1 2.70000+ 1 2.52415- 2 1.09990- 4 2.10000+ 1 2.90000+ 1 2.47466- 3 1.20230- 4 2.10000+ 1 3.00000+ 1 1.38191- 2 1.21370- 4 2.20000+ 1 2.20000+ 1 2.96109- 2 7.45200- 5 2.20000+ 1 2.70000+ 1 3.97174- 2 1.11770- 4 2.20000+ 1 2.90000+ 1 1.27417- 2 1.22010- 4 2.20000+ 1 3.00000+ 1 1.22923- 2 1.23150- 4 2.70000+ 1 2.70000+ 1 1.33015- 2 1.49020- 4 2.70000+ 1 2.90000+ 1 1.11636- 2 1.59260- 4 2.70000+ 1 3.00000+ 1 1.95724- 2 1.60400- 4 2.90000+ 1 2.90000+ 1 1.97664- 3 1.69500- 4 2.90000+ 1 3.00000+ 1 1.20355- 2 1.70640- 4 3.00000+ 1 3.00000+ 1 8.77101- 3 1.71780- 4 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 7.65493- 5 8.54900- 5 2.70000+ 1 9.57234- 6 1.24520- 4 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 2.53791- 3 5.50000- 7 1.90000+ 1 3.00000+ 1 3.83562- 3 1.69000- 6 2.10000+ 1 2.10000+ 1 1.61524- 1 2.54500- 5 2.10000+ 1 2.20000+ 1 7.55545- 1 2.72300- 5 2.10000+ 1 2.70000+ 1 1.48220- 2 6.44800- 5 2.10000+ 1 2.90000+ 1 7.67480- 3 7.47200- 5 2.10000+ 1 3.00000+ 1 1.54078- 2 7.58600- 5 2.20000+ 1 2.20000+ 1 2.60528- 2 2.90100- 5 2.20000+ 1 2.70000+ 1 1.93171- 3 6.62600- 5 2.20000+ 1 2.90000+ 1 7.76571- 3 7.65000- 5 2.20000+ 1 3.00000+ 1 1.67889- 3 7.76400- 5 2.70000+ 1 2.70000+ 1 1.70899- 5 1.03510- 4 2.70000+ 1 2.90000+ 1 4.28094- 4 1.13750- 4 2.70000+ 1 3.00000+ 1 5.13775- 5 1.14890- 4 2.90000+ 1 2.90000+ 1 1.35670- 4 1.23990- 4 2.90000+ 1 3.00000+ 1 4.89932- 4 1.25130- 4 3.00000+ 1 3.00000+ 1 1.55081- 5 1.26270- 4 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.95100- 6 7.41700- 5 2.20000+ 1 1.98800- 5 7.59500- 5 2.70000+ 1 3.61780- 6 1.13200- 4 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 2.44338- 2 1.41300- 5 2.10000+ 1 2.20000+ 1 5.70180- 1 1.59100- 5 2.10000+ 1 2.70000+ 1 1.58818- 3 5.31600- 5 2.10000+ 1 2.90000+ 1 9.21288- 4 6.34000- 5 2.10000+ 1 3.00000+ 1 4.10725- 3 6.45400- 5 2.20000+ 1 2.20000+ 1 3.69775- 1 1.76900- 5 2.20000+ 1 2.70000+ 1 9.72295- 3 5.49400- 5 2.20000+ 1 2.90000+ 1 6.98697- 3 6.51800- 5 2.20000+ 1 3.00000+ 1 1.13950- 2 6.63200- 5 2.70000+ 1 2.70000+ 1 5.73423- 7 9.21900- 5 2.70000+ 1 2.90000+ 1 2.41797- 5 1.02430- 4 2.70000+ 1 3.00000+ 1 4.28147- 4 1.03570- 4 2.90000+ 1 2.90000+ 1 1.80042- 6 1.12670- 4 2.90000+ 1 3.00000+ 1 1.79420- 4 1.13810- 4 3.00000+ 1 3.00000+ 1 2.29340- 4 1.14950- 4 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 2.17300- 7 4.92700- 5 3.00000+ 1 3.75201- 8 5.04100- 5 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 2.66873- 1 1.80200- 5 2.70000+ 1 2.90000+ 1 2.29671- 1 2.82600- 5 2.70000+ 1 3.00000+ 1 1.59767- 1 2.94000- 5 2.90000+ 1 2.90000+ 1 8.43844- 2 3.85000- 5 2.90000+ 1 3.00000+ 1 2.12546- 1 3.96400- 5 3.00000+ 1 3.00000+ 1 4.67581- 2 4.07800- 5 1 53000 0 7 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 2.63720- 7 4.86300- 5 1 53000 0 9 1.26904+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 2.50200- 1 1.62400- 5 2.70000+ 1 2.90000+ 1 1.73167- 1 2.64800- 5 2.70000+ 1 3.00000+ 1 3.11382- 1 2.76200- 5 2.90000+ 1 2.90000+ 1 1.19119- 2 3.67200- 5 2.90000+ 1 3.00000+ 1 1.06558- 1 3.78600- 5 3.00000+ 1 3.00000+ 1 1.46780- 1 3.90000- 5 1 54000 0 0 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 1 54000 0 0 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.45560- 2 3.00000+ 0 5.41690- 3 5.00000+ 0 5.10390- 3 6.00000+ 0 4.77470- 3 8.00000+ 0 1.12200- 3 1.00000+ 1 9.89470- 4 1.10000+ 1 9.26560- 4 1.30000+ 1 6.90910- 4 1.40000+ 1 6.77520- 4 1.60000+ 1 2.08370- 4 1.80000+ 1 1.60690- 4 1.90000+ 1 1.47980- 4 2.10000+ 1 6.98400- 5 2.20000+ 1 6.77800- 5 2.70000+ 1 2.36100- 5 2.90000+ 1 1.23500- 5 3.00000+ 1 1.09600- 5 1 54000 0 0 1.31300+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.41650- 2 3.00000+ 0 9.67360- 3 5.00000+ 0 9.68320- 3 6.00000+ 0 8.48370- 3 8.00000+ 0 2.84190- 3 1.00000+ 1 2.77100- 3 1.10000+ 1 2.50140- 3 1.30000+ 1 2.37540- 3 1.40000+ 1 2.31030- 3 1.60000+ 1 8.22970- 4 1.80000+ 1 7.53150- 4 1.90000+ 1 6.83660- 4 2.10000+ 1 5.37930- 4 2.20000+ 1 5.23060- 4 2.70000+ 1 1.53750- 4 2.90000+ 1 1.09170- 4 3.00000+ 1 9.55500- 5 1 54000 0 0 1.31300+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.40830-10 3.00000+ 0 6.02020-10 5.00000+ 0 5.06640-10 6.00000+ 0 5.37150-10 8.00000+ 0 1.60870- 9 1.00000+ 1 1.55350- 9 1.10000+ 1 1.61450- 9 1.30000+ 1 1.45740- 9 1.40000+ 1 1.47670- 9 1.60000+ 1 3.74960- 9 1.80000+ 1 3.88860- 9 1.90000+ 1 4.03150- 9 2.10000+ 1 4.48720- 9 2.20000+ 1 4.54120- 9 2.70000+ 1 9.52650- 9 2.90000+ 1 1.12990- 8 3.00000+ 1 1.19170- 8 1 54000 0 0 1.31300+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.89110- 6 3.00000+ 0 1.63080- 7 5.00000+ 0 2.73940- 7 6.00000+ 0 2.57740- 7 8.00000+ 0 4.09610- 9 1.00000+ 1 4.04460- 9 1.10000+ 1 4.01550- 9 1.30000+ 1 3.12170-10 1.40000+ 1 2.65500-10 1.60000+ 1 9.60210-11 1.80000+ 1 2.31370-10 1.90000+ 1 1.78880-10 2.10000+ 1 8.24740-12 2.20000+ 1 7.14820-12 1 54000 0 0 1.31300+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.21660- 6 3.00000+ 0 3.18350- 6 5.00000+ 0 2.57720- 6 6.00000+ 0 2.36740- 6 8.00000+ 0 1.11700- 5 1.00000+ 1 4.97630- 6 1.10000+ 1 5.57280- 6 1.30000+ 1 5.94600- 7 1.40000+ 1 5.95720- 7 1.60000+ 1 5.19810- 6 1.80000+ 1 2.57050- 5 1.90000+ 1 3.19730- 5 2.10000+ 1 8.04910- 8 2.20000+ 1 8.04240- 8 1 54000 0 0 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.95232- 4 3.00000+ 0 2.24658- 4 5.00000+ 0 1.91948- 4 6.00000+ 0 1.83034- 4 8.00000+ 0 1.62675- 4 1.00000+ 1 1.38351- 4 1.10000+ 1 1.35176- 4 1.30000+ 1 8.28408- 5 1.40000+ 1 8.38129- 5 1.60000+ 1 7.00740- 5 1.80000+ 1 6.52099- 5 1.90000+ 1 6.59767- 5 2.10000+ 1 3.26813- 5 2.20000+ 1 3.37864- 5 2.70000+ 1 2.36100- 5 2.90000+ 1 1.23500- 5 3.00000+ 1 1.09600- 5 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.85656- 1 3.00000+ 0 1.02250- 1 5.00000+ 0 1.12040- 1 6.00000+ 0 9.68522- 2 8.00000+ 0 3.83145- 3 1.00000+ 1 4.09277- 3 1.10000+ 1 3.86246- 3 1.30000+ 1 2.36070- 3 1.40000+ 1 2.17642- 3 1.60000+ 1 1.11344- 4 1.80000+ 1 1.05423- 4 1.90000+ 1 3.19463- 5 2.10000+ 1 5.19939- 7 2.20000+ 1 5.35970- 7 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.75166- 2 3.00000+ 0 4.32284- 4 5.00000+ 0 4.76926- 4 6.00000+ 0 3.83777- 4 8.00000+ 0 2.54431- 6 1.00000+ 1 2.61042- 6 1.10000+ 1 2.46566- 6 1.30000+ 1 1.27197- 6 1.40000+ 1 1.16302- 6 1.60000+ 1 1.03542- 8 1.80000+ 1 1.01199- 8 1.90000+ 1 2.74361- 9 2.10000+ 1 2.99968-11 2.20000+ 1 3.04538-11 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.07484+ 1 3.00000+ 0 1.25173+ 1 5.00000+ 0 1.05706+ 1 6.00000+ 0 1.00016+ 1 8.00000+ 0 8.78902+ 0 1.00000+ 1 7.36088+ 0 1.10000+ 1 7.12207+ 0 1.30000+ 1 4.01667+ 0 1.40000+ 1 4.01641+ 0 1.60000+ 1 3.24930+ 0 1.80000+ 1 2.94238+ 0 1.90000+ 1 2.94034+ 0 2.10000+ 1 9.99999- 1 2.20000+ 1 9.99999- 1 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.84418- 3 3.00000+ 0 4.75996- 3 5.00000+ 0 4.43503- 3 6.00000+ 0 4.20789- 3 8.00000+ 0 9.56781- 4 1.00000+ 1 8.48509- 4 1.10000+ 1 7.88919- 4 1.30000+ 1 6.06797- 4 1.40000+ 1 5.92544- 4 1.60000+ 1 1.38286- 4 1.80000+ 1 9.54699- 5 1.90000+ 1 8.20005- 5 2.10000+ 1 3.71587- 5 2.20000+ 1 3.39936- 5 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.55988- 1 2.94521- 2 6.00000+ 0 4.74077- 1 2.97813- 2 1.00000+ 1 4.45027- 2 3.35665- 2 1.10000+ 1 8.62775- 2 3.36294- 2 1.30000+ 1 4.38977- 4 3.38651- 2 1.40000+ 1 5.99496- 4 3.38785- 2 1.80000+ 1 9.33064- 3 3.43953- 2 1.90000+ 1 1.81979- 2 3.44080- 2 2.10000+ 1 8.18305- 5 3.44862- 2 2.20000+ 1 1.11539- 4 3.44882- 2 2.90000+ 1 9.56254- 4 3.45436- 2 3.00000+ 1 1.80819- 3 3.45450- 2 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 8.66166- 3 2.37222- 2 3.00000+ 0 5.00000+ 0 1.02644- 2 2.40352- 2 3.00000+ 0 6.00000+ 0 1.23564- 2 2.43644- 2 3.00000+ 0 8.00000+ 0 3.08562- 3 2.80171- 2 3.00000+ 0 1.00000+ 1 1.95658- 3 2.81496- 2 3.00000+ 0 1.10000+ 1 2.38363- 3 2.82125- 2 3.00000+ 0 1.30000+ 1 1.53828- 4 2.84482- 2 3.00000+ 0 1.40000+ 1 1.67791- 4 2.84616- 2 3.00000+ 0 1.60000+ 1 6.64150- 4 2.89307- 2 3.00000+ 0 1.80000+ 1 3.96230- 4 2.89784- 2 3.00000+ 0 1.90000+ 1 4.79527- 4 2.89911- 2 3.00000+ 0 2.10000+ 1 2.76823- 5 2.90693- 2 3.00000+ 0 2.20000+ 1 2.98489- 5 2.90713- 2 3.00000+ 0 2.70000+ 1 9.46053- 5 2.91155- 2 3.00000+ 0 2.90000+ 1 4.09221- 5 2.91267- 2 3.00000+ 0 3.00000+ 1 4.69406- 5 2.91281- 2 5.00000+ 0 5.00000+ 0 1.25048- 3 2.43482- 2 5.00000+ 0 6.00000+ 0 2.62988- 2 2.46774- 2 5.00000+ 0 8.00000+ 0 1.51823- 3 2.83301- 2 5.00000+ 0 1.00000+ 1 4.28008- 4 2.84626- 2 5.00000+ 0 1.10000+ 1 4.24412- 3 2.85255- 2 5.00000+ 0 1.30000+ 1 1.83434- 4 2.87612- 2 5.00000+ 0 1.40000+ 1 6.15039- 4 2.87746- 2 5.00000+ 0 1.60000+ 1 3.14624- 4 2.92437- 2 5.00000+ 0 1.80000+ 1 8.49746- 5 2.92914- 2 5.00000+ 0 1.90000+ 1 8.25682- 4 2.93041- 2 5.00000+ 0 2.10000+ 1 3.24971- 5 2.93823- 2 5.00000+ 0 2.20000+ 1 1.08087- 4 2.93843- 2 5.00000+ 0 2.70000+ 1 4.45331- 5 2.94285- 2 5.00000+ 0 2.90000+ 1 8.66599- 6 2.94398- 2 5.00000+ 0 3.00000+ 1 8.06413- 5 2.94411- 2 6.00000+ 0 6.00000+ 0 1.31388- 2 2.50066- 2 6.00000+ 0 8.00000+ 0 1.78907- 3 2.86593- 2 6.00000+ 0 1.00000+ 1 4.13904- 3 2.87918- 2 6.00000+ 0 1.10000+ 1 4.35297- 3 2.88547- 2 6.00000+ 0 1.30000+ 1 7.31324- 4 2.90904- 2 6.00000+ 0 1.40000+ 1 6.73074- 4 2.91038- 2 6.00000+ 0 1.60000+ 1 3.69038- 4 2.95729- 2 6.00000+ 0 1.80000+ 1 8.09080- 4 2.96206- 2 6.00000+ 0 1.90000+ 1 8.51687- 4 2.96333- 2 6.00000+ 0 2.10000+ 1 1.29275- 4 2.97115- 2 6.00000+ 0 2.20000+ 1 1.18682- 4 2.97135- 2 6.00000+ 0 2.70000+ 1 5.22368- 5 2.97577- 2 6.00000+ 0 2.90000+ 1 8.32919- 5 2.97689- 2 6.00000+ 0 3.00000+ 1 8.32919- 5 2.97703- 2 8.00000+ 0 8.00000+ 0 2.70593- 4 3.23120- 2 8.00000+ 0 1.00000+ 1 2.92261- 4 3.24445- 2 8.00000+ 0 1.10000+ 1 3.47861- 4 3.25074- 2 8.00000+ 0 1.30000+ 1 2.11847- 5 3.27431- 2 8.00000+ 0 1.40000+ 1 2.23884- 5 3.27565- 2 8.00000+ 0 1.60000+ 1 1.16271- 4 3.32256- 2 8.00000+ 0 1.80000+ 1 5.92216- 5 3.32733- 2 8.00000+ 0 1.90000+ 1 7.00556- 5 3.32860- 2 8.00000+ 0 2.10000+ 1 3.85184- 6 3.33642- 2 8.00000+ 0 2.20000+ 1 4.09250- 6 3.33662- 2 8.00000+ 0 2.70000+ 1 1.66113- 5 3.34104- 2 8.00000+ 0 2.90000+ 1 6.01855- 6 3.34216- 2 8.00000+ 0 3.00000+ 1 6.98139- 6 3.34230- 2 1.00000+ 1 1.00000+ 1 3.51465- 5 3.25771- 2 1.00000+ 1 1.10000+ 1 6.78846- 4 3.26400- 2 1.00000+ 1 1.30000+ 1 2.28686- 5 3.28756- 2 1.00000+ 1 1.40000+ 1 7.58282- 5 3.28890- 2 1.00000+ 1 1.60000+ 1 6.06623- 5 3.33582- 2 1.00000+ 1 1.80000+ 1 1.39611- 5 3.34058- 2 1.00000+ 1 1.90000+ 1 1.32398- 4 3.34185- 2 1.00000+ 1 2.10000+ 1 4.09224- 6 3.34967- 2 1.00000+ 1 2.20000+ 1 1.34806- 5 3.34987- 2 1.00000+ 1 2.70000+ 1 8.66606- 6 3.35429- 2 1.00000+ 1 2.90000+ 1 1.44436- 6 3.35542- 2 1.00000+ 1 3.00000+ 1 1.29992- 5 3.35556- 2 1.10000+ 1 1.10000+ 1 3.61812- 4 3.27029- 2 1.10000+ 1 1.30000+ 1 9.62873- 5 3.29385- 2 1.10000+ 1 1.40000+ 1 8.64198- 5 3.29519- 2 1.10000+ 1 1.60000+ 1 7.19762- 5 3.34211- 2 1.10000+ 1 1.80000+ 1 1.33125- 4 3.34687- 2 1.10000+ 1 1.90000+ 1 1.41782- 4 3.34815- 2 1.10000+ 1 2.10000+ 1 1.70917- 5 3.35596- 2 1.10000+ 1 2.20000+ 1 1.54066- 5 3.35617- 2 1.10000+ 1 2.70000+ 1 1.01101- 5 3.36058- 2 1.10000+ 1 2.90000+ 1 1.37213- 5 3.36171- 2 1.10000+ 1 3.00000+ 1 1.37213- 5 3.36185- 2 1.30000+ 1 1.40000+ 1 1.13060- 5 3.31876- 2 1.30000+ 1 1.60000+ 1 4.42382- 6 3.36567- 2 1.30000+ 1 1.80000+ 1 4.42382- 6 3.37044- 2 1.30000+ 1 1.90000+ 1 1.84328- 5 3.37171- 2 1.30000+ 1 2.20000+ 1 1.96617- 6 3.37973- 2 1.30000+ 1 2.70000+ 1 7.37293- 7 3.38415- 2 1.30000+ 1 2.90000+ 1 4.91529- 7 3.38527- 2 1.30000+ 1 3.00000+ 1 1.72029- 6 3.38541- 2 1.40000+ 1 1.40000+ 1 2.73182- 6 3.32010- 2 1.40000+ 1 1.60000+ 1 4.71854- 6 3.36701- 2 1.40000+ 1 1.80000+ 1 1.46525- 5 3.37178- 2 1.40000+ 1 1.90000+ 1 1.66394- 5 3.37305- 2 1.40000+ 1 2.10000+ 1 1.98682- 6 3.38086- 2 1.40000+ 1 2.20000+ 1 9.93361- 7 3.38107- 2 1.40000+ 1 2.70000+ 1 7.45035- 7 3.38549- 2 1.40000+ 1 2.90000+ 1 1.49009- 6 3.38661- 2 1.40000+ 1 3.00000+ 1 1.49009- 6 3.38675- 2 1.60000+ 1 1.60000+ 1 1.26247- 5 3.41393- 2 1.60000+ 1 1.80000+ 1 1.23819- 5 3.41869- 2 1.60000+ 1 1.90000+ 1 1.45671- 5 3.41996- 2 1.60000+ 1 2.10000+ 1 7.28344- 7 3.42778- 2 1.60000+ 1 2.20000+ 1 7.28344- 7 3.42798- 2 1.60000+ 1 2.70000+ 1 3.64173- 6 3.43240- 2 1.60000+ 1 2.90000+ 1 1.21391- 6 3.43353- 2 1.60000+ 1 3.00000+ 1 1.45671- 6 3.43367- 2 1.80000+ 1 1.80000+ 1 1.42393- 6 3.42346- 2 1.80000+ 1 1.90000+ 1 2.56306- 5 3.42473- 2 1.80000+ 1 2.10000+ 1 7.11955- 7 3.43255- 2 1.80000+ 1 2.20000+ 1 2.37328- 6 3.43275- 2 1.80000+ 1 2.70000+ 1 1.66117- 6 3.43717- 2 1.80000+ 1 2.90000+ 1 2.37328- 7 3.43830- 2 1.80000+ 1 3.00000+ 1 2.61053- 6 3.43843- 2 1.90000+ 1 1.90000+ 1 1.39612- 5 3.42600- 2 1.90000+ 1 2.10000+ 1 3.12947- 6 3.43382- 2 1.90000+ 1 2.20000+ 1 2.88873- 6 3.43402- 2 1.90000+ 1 2.70000+ 1 2.16649- 6 3.43844- 2 1.90000+ 1 2.90000+ 1 2.64799- 6 3.43957- 2 1.90000+ 1 3.00000+ 1 2.64799- 6 3.43971- 2 2.10000+ 1 2.20000+ 1 5.34297- 7 3.44184- 2 2.10000+ 1 3.00000+ 1 5.34297- 7 3.44752- 2 2.20000+ 1 2.90000+ 1 4.27857- 7 3.44759- 2 2.20000+ 1 3.00000+ 1 4.27857- 7 3.44773- 2 2.70000+ 1 2.70000+ 1 2.81545- 7 3.45088- 2 2.70000+ 1 2.90000+ 1 2.81545- 7 3.45200- 2 2.70000+ 1 3.00000+ 1 2.81545- 7 3.45214- 2 2.90000+ 1 3.00000+ 1 3.41278- 7 3.45327- 2 3.00000+ 1 3.00000+ 1 2.40729- 7 3.45341- 2 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.98398- 5 3.13000- 4 6.00000+ 0 3.73327- 4 6.42200- 4 1.00000+ 1 1.38829- 2 4.42743- 3 1.10000+ 1 2.18758- 2 4.49034- 3 1.30000+ 1 2.06838- 4 4.72599- 3 1.40000+ 1 3.08777- 4 4.73938- 3 1.80000+ 1 2.99258- 3 5.25621- 3 1.90000+ 1 4.83886- 3 5.26892- 3 2.10000+ 1 2.51578- 5 5.34706- 3 2.20000+ 1 3.82137- 5 5.34912- 3 2.90000+ 1 3.40147- 4 5.40455- 3 3.00000+ 1 5.28266- 4 5.40594- 3 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.69431- 2 1.04630- 4 5.00000+ 0 1.80000+ 1 4.06576- 2 1.52310- 4 5.00000+ 0 1.90000+ 1 5.15253- 2 1.65020- 4 5.00000+ 0 2.10000+ 1 1.31854- 2 2.43160- 4 5.00000+ 0 2.20000+ 1 2.18037- 2 2.45220- 4 5.00000+ 0 2.70000+ 1 7.77756- 3 2.89390- 4 5.00000+ 0 2.90000+ 1 3.96775- 3 3.00650- 4 5.00000+ 0 3.00000+ 1 4.77790- 3 3.02040- 4 6.00000+ 0 1.60000+ 1 7.43055- 2 4.33830- 4 6.00000+ 0 1.80000+ 1 3.23640- 2 4.81510- 4 6.00000+ 0 1.90000+ 1 6.09524- 2 4.94220- 4 6.00000+ 0 2.10000+ 1 6.22297- 2 5.72360- 4 6.00000+ 0 2.20000+ 1 8.00767- 2 5.74420- 4 6.00000+ 0 2.70000+ 1 1.02309- 2 6.18590- 4 6.00000+ 0 2.90000+ 1 3.22316- 3 6.29850- 4 6.00000+ 0 3.00000+ 1 5.81492- 3 6.31240- 4 8.00000+ 0 8.00000+ 0 1.34704- 2 3.17290- 3 8.00000+ 0 1.00000+ 1 2.67210- 2 3.30543- 3 8.00000+ 0 1.10000+ 1 4.93433- 2 3.36834- 3 8.00000+ 0 1.30000+ 1 3.87315- 2 3.60399- 3 8.00000+ 0 1.40000+ 1 5.46919- 2 3.61738- 3 8.00000+ 0 1.60000+ 1 4.95078- 3 4.08653- 3 8.00000+ 0 1.80000+ 1 5.29200- 3 4.13421- 3 8.00000+ 0 1.90000+ 1 9.69018- 3 4.14692- 3 8.00000+ 0 2.10000+ 1 5.94375- 3 4.22506- 3 8.00000+ 0 2.20000+ 1 8.34214- 3 4.22712- 3 8.00000+ 0 2.70000+ 1 6.89327- 4 4.27129- 3 8.00000+ 0 2.90000+ 1 5.44942- 4 4.28255- 3 8.00000+ 0 3.00000+ 1 9.47105- 4 4.28394- 3 1.00000+ 1 1.00000+ 1 1.55808- 4 3.43796- 3 1.00000+ 1 1.10000+ 1 9.80531- 4 3.50087- 3 1.00000+ 1 1.30000+ 1 1.09226- 3 3.73652- 3 1.00000+ 1 1.40000+ 1 1.43276- 2 3.74991- 3 1.00000+ 1 1.60000+ 1 3.95236- 3 4.21906- 3 1.00000+ 1 1.80000+ 1 3.26282- 5 4.26674- 3 1.00000+ 1 1.90000+ 1 1.81912- 4 4.27945- 3 1.00000+ 1 2.10000+ 1 1.68037- 4 4.35759- 3 1.00000+ 1 2.20000+ 1 1.47329- 3 4.35965- 3 1.00000+ 1 2.70000+ 1 5.26152- 4 4.40382- 3 1.00000+ 1 2.90000+ 1 3.26282- 6 4.41508- 3 1.00000+ 1 3.00000+ 1 1.79464- 5 4.41647- 3 1.10000+ 1 1.10000+ 1 1.15513- 3 3.56378- 3 1.10000+ 1 1.30000+ 1 9.88891- 3 3.79943- 3 1.10000+ 1 1.40000+ 1 6.71326- 3 3.81282- 3 1.10000+ 1 1.60000+ 1 7.29570- 3 4.28197- 3 1.10000+ 1 1.80000+ 1 1.82737- 4 4.32965- 3 1.10000+ 1 1.90000+ 1 3.46720- 4 4.34236- 3 1.10000+ 1 2.10000+ 1 8.84304- 4 4.42050- 3 1.10000+ 1 2.20000+ 1 6.19996- 4 4.42256- 3 1.10000+ 1 2.70000+ 1 9.71613- 4 4.46673- 3 1.10000+ 1 2.90000+ 1 1.87633- 5 4.47799- 3 1.10000+ 1 3.00000+ 1 3.26303- 5 4.47938- 3 1.30000+ 1 1.30000+ 1 2.11287- 3 4.03508- 3 1.30000+ 1 1.40000+ 1 7.75065- 2 4.04847- 3 1.30000+ 1 1.60000+ 1 5.42578- 3 4.51762- 3 1.30000+ 1 1.80000+ 1 2.81438- 4 4.56530- 3 1.30000+ 1 1.90000+ 1 1.96689- 3 4.57801- 3 1.30000+ 1 2.10000+ 1 6.43642- 4 4.65615- 3 1.30000+ 1 2.20000+ 1 8.78828- 3 4.65821- 3 1.30000+ 1 2.70000+ 1 7.17055- 4 4.70238- 3 1.30000+ 1 2.90000+ 1 3.01835- 5 4.71364- 3 1.30000+ 1 3.00000+ 1 1.92525- 4 4.71503- 3 1.40000+ 1 1.40000+ 1 2.17703- 2 4.06186- 3 1.40000+ 1 1.60000+ 1 7.70643- 3 4.53101- 3 1.40000+ 1 1.80000+ 1 2.59329- 3 4.57869- 3 1.40000+ 1 1.90000+ 1 1.40068- 3 4.59140- 3 1.40000+ 1 2.10000+ 1 8.70981- 3 4.66954- 3 1.40000+ 1 2.20000+ 1 5.15306- 3 4.67160- 3 1.40000+ 1 2.70000+ 1 1.01963- 3 4.71577- 3 1.40000+ 1 2.90000+ 1 2.63493- 4 4.72703- 3 1.40000+ 1 3.00000+ 1 1.37862- 4 4.72842- 3 1.60000+ 1 1.60000+ 1 4.32375- 4 5.00016- 3 1.60000+ 1 1.80000+ 1 7.84776- 4 5.04784- 3 1.60000+ 1 1.90000+ 1 1.43573- 3 5.06055- 3 1.60000+ 1 2.10000+ 1 8.30437- 4 5.13869- 3 1.60000+ 1 2.20000+ 1 1.17056- 3 5.14075- 3 1.60000+ 1 2.70000+ 1 1.19103- 4 5.18492- 3 1.60000+ 1 2.90000+ 1 8.07632- 5 5.19618- 3 1.60000+ 1 3.00000+ 1 1.40313- 4 5.19757- 3 1.80000+ 1 1.80000+ 1 1.63148- 6 5.09552- 3 1.80000+ 1 1.90000+ 1 3.42610- 5 5.10823- 3 1.80000+ 1 2.10000+ 1 3.67101- 5 5.18637- 3 1.80000+ 1 2.20000+ 1 2.74906- 4 5.18843- 3 1.80000+ 1 2.70000+ 1 1.04424- 4 5.23260- 3 1.80000+ 1 3.00000+ 1 3.26296- 6 5.24525- 3 1.90000+ 1 1.90000+ 1 2.74199- 5 5.12094- 3 1.90000+ 1 2.10000+ 1 1.95369- 4 5.19908- 3 1.90000+ 1 2.20000+ 1 1.43096- 4 5.20114- 3 1.90000+ 1 2.70000+ 1 2.00512- 4 5.24531- 3 1.90000+ 1 2.90000+ 1 3.42744- 6 5.25657- 3 1.90000+ 1 3.00000+ 1 5.14125- 6 5.25796- 3 2.10000+ 1 2.10000+ 1 4.95404- 5 5.27722- 3 2.10000+ 1 2.20000+ 1 1.11855- 3 5.27928- 3 2.10000+ 1 2.70000+ 1 1.16462- 4 5.32345- 3 2.10000+ 1 2.90000+ 1 4.34560- 6 5.33471- 3 2.10000+ 1 3.00000+ 1 1.99905- 5 5.33610- 3 2.20000+ 1 2.20000+ 1 3.50437- 4 5.28134- 3 2.20000+ 1 2.70000+ 1 1.69423- 4 5.32551- 3 2.20000+ 1 2.90000+ 1 3.03172- 5 5.33677- 3 2.20000+ 1 3.00000+ 1 1.51580- 5 5.33816- 3 2.70000+ 1 2.70000+ 1 7.76019- 6 5.36968- 3 2.70000+ 1 2.90000+ 1 1.00891- 5 5.38094- 3 2.70000+ 1 3.00000+ 1 1.78484- 5 5.38233- 3 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 7.04308- 8 3.29200- 4 8.00000+ 0 4.02949- 3 3.98190- 3 1.10000+ 1 5.82469- 5 4.17734- 3 1.30000+ 1 7.49118- 2 4.41299- 3 1.60000+ 1 5.74889- 4 4.89553- 3 1.90000+ 1 7.20318- 6 4.95592- 3 2.10000+ 1 1.11830- 2 5.03406- 3 2.70000+ 1 6.89998- 5 5.08029- 3 3.00000+ 1 7.86878- 7 5.09294- 3 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.18029- 2 1.20830- 4 6.00000+ 0 1.80000+ 1 5.17412- 2 1.68510- 4 6.00000+ 0 1.90000+ 1 1.78166- 2 1.81220- 4 6.00000+ 0 2.10000+ 1 6.41393- 2 2.59360- 4 6.00000+ 0 2.20000+ 1 2.38654- 2 2.61420- 4 6.00000+ 0 2.70000+ 1 1.50864- 3 3.05590- 4 6.00000+ 0 2.90000+ 1 5.09719- 3 3.16850- 4 6.00000+ 0 3.00000+ 1 1.72846- 3 3.18240- 4 8.00000+ 0 8.00000+ 0 1.06054- 3 2.85990- 3 8.00000+ 0 1.00000+ 1 2.55320- 2 2.99243- 3 8.00000+ 0 1.10000+ 1 2.44630- 3 3.05534- 3 8.00000+ 0 1.30000+ 1 1.93866- 3 3.29099- 3 8.00000+ 0 1.40000+ 1 3.44740- 3 3.30438- 3 8.00000+ 0 1.60000+ 1 3.62792- 4 3.77353- 3 8.00000+ 0 1.80000+ 1 3.49728- 3 3.82121- 3 8.00000+ 0 1.90000+ 1 4.28047- 4 3.83392- 3 8.00000+ 0 2.10000+ 1 2.14985- 4 3.91206- 3 8.00000+ 0 2.20000+ 1 3.33025- 4 3.91412- 3 8.00000+ 0 2.70000+ 1 4.99075- 5 3.95829- 3 8.00000+ 0 2.90000+ 1 3.39753- 4 3.96955- 3 8.00000+ 0 3.00000+ 1 4.12702- 5 3.97094- 3 1.00000+ 1 1.00000+ 1 2.50355- 2 3.12496- 3 1.00000+ 1 1.10000+ 1 7.82246- 2 3.18787- 3 1.00000+ 1 1.30000+ 1 4.14630- 2 3.42352- 3 1.00000+ 1 1.40000+ 1 7.09763- 2 3.43691- 3 1.00000+ 1 1.60000+ 1 5.59516- 3 3.90606- 3 1.00000+ 1 1.80000+ 1 8.52327- 3 3.95374- 3 1.00000+ 1 1.90000+ 1 1.51001- 2 3.96645- 3 1.00000+ 1 2.10000+ 1 6.34856- 3 4.04459- 3 1.00000+ 1 2.20000+ 1 1.08434- 2 4.04665- 3 1.00000+ 1 2.70000+ 1 7.98467- 4 4.09082- 3 1.00000+ 1 2.90000+ 1 8.59909- 4 4.10208- 3 1.00000+ 1 3.00000+ 1 1.47120- 3 4.10347- 3 1.10000+ 1 1.10000+ 1 2.05088- 3 3.25078- 3 1.10000+ 1 1.30000+ 1 4.88211- 2 3.48643- 3 1.10000+ 1 1.40000+ 1 6.63360- 3 3.49982- 3 1.10000+ 1 1.60000+ 1 4.60667- 4 3.96897- 3 1.10000+ 1 1.80000+ 1 1.11101- 2 4.01665- 3 1.10000+ 1 1.90000+ 1 6.70842- 4 4.02936- 3 1.10000+ 1 2.10000+ 1 6.46296- 3 4.10750- 3 1.10000+ 1 2.20000+ 1 8.20570- 4 4.10956- 3 1.10000+ 1 2.70000+ 1 6.43017- 5 4.15373- 3 1.10000+ 1 2.90000+ 1 1.08546- 3 4.16499- 3 1.10000+ 1 3.00000+ 1 6.33423- 5 4.16638- 3 1.30000+ 1 1.30000+ 1 4.44831- 2 3.72208- 3 1.30000+ 1 1.40000+ 1 1.90970- 1 3.73547- 3 1.30000+ 1 1.60000+ 1 4.34745- 4 4.20462- 3 1.30000+ 1 1.80000+ 1 5.87078- 3 4.25230- 3 1.30000+ 1 1.90000+ 1 8.90828- 3 4.26501- 3 1.30000+ 1 2.10000+ 1 1.17156- 2 4.34315- 3 1.30000+ 1 2.20000+ 1 2.68071- 2 4.34521- 3 1.30000+ 1 2.70000+ 1 6.23823- 5 4.38938- 3 1.30000+ 1 2.90000+ 1 5.76810- 4 4.40064- 3 1.30000+ 1 3.00000+ 1 8.60891- 4 4.40203- 3 1.40000+ 1 1.40000+ 1 9.10198- 3 3.74886- 3 1.40000+ 1 1.60000+ 1 6.40165- 4 4.21801- 3 1.40000+ 1 1.80000+ 1 8.99930- 3 4.26569- 3 1.40000+ 1 1.90000+ 1 1.10941- 3 4.27840- 3 1.40000+ 1 2.10000+ 1 2.14914- 2 4.35654- 3 1.40000+ 1 2.20000+ 1 2.33408- 3 4.35860- 3 1.40000+ 1 2.70000+ 1 8.92559- 5 4.40277- 3 1.40000+ 1 2.90000+ 1 8.63778- 4 4.41403- 3 1.40000+ 1 3.00000+ 1 1.05571- 4 4.41542- 3 1.60000+ 1 1.60000+ 1 3.27322- 5 4.68716- 3 1.60000+ 1 1.80000+ 1 8.20343- 4 4.73484- 3 1.60000+ 1 1.90000+ 1 8.59216- 5 4.74755- 3 1.60000+ 1 2.10000+ 1 5.01198- 5 4.82569- 3 1.60000+ 1 2.20000+ 1 6.75094- 5 4.82775- 3 1.60000+ 1 2.70000+ 1 9.20597- 6 4.87192- 3 1.60000+ 1 2.90000+ 1 7.97825- 5 4.88318- 3 1.60000+ 1 3.00000+ 1 8.18317- 6 4.88457- 3 1.80000+ 1 1.80000+ 1 6.72093- 4 4.78252- 3 1.80000+ 1 1.90000+ 1 2.07285- 3 4.79523- 3 1.80000+ 1 2.10000+ 1 8.56570- 4 4.87337- 3 1.80000+ 1 2.20000+ 1 1.33677- 3 4.87543- 3 1.80000+ 1 2.70000+ 1 1.06605- 4 4.91960- 3 1.80000+ 1 2.90000+ 1 1.34415- 4 4.93086- 3 1.80000+ 1 3.00000+ 1 2.02088- 4 4.93225- 3 1.90000+ 1 1.90000+ 1 5.68419- 5 4.80794- 3 1.90000+ 1 2.10000+ 1 1.21422- 3 4.88608- 3 1.90000+ 1 2.20000+ 1 1.44067- 4 4.88814- 3 1.90000+ 1 2.70000+ 1 1.17613- 5 4.93231- 3 1.90000+ 1 2.90000+ 1 2.14626- 4 4.94357- 3 1.90000+ 1 3.00000+ 1 1.07805- 5 4.94496- 3 2.10000+ 1 2.10000+ 1 8.05787- 4 4.96422- 3 2.10000+ 1 2.20000+ 1 3.27573- 3 4.96628- 3 2.10000+ 1 2.70000+ 1 7.08574- 6 5.01045- 3 2.10000+ 1 2.90000+ 1 9.11071- 5 5.02171- 3 2.10000+ 1 3.00000+ 1 1.21481- 4 5.02310- 3 2.20000+ 1 2.20000+ 1 1.61273- 4 4.96834- 3 2.20000+ 1 2.70000+ 1 9.24532- 6 5.01251- 3 2.20000+ 1 2.90000+ 1 1.42790- 4 5.02377- 3 2.20000+ 1 3.00000+ 1 1.43812- 5 5.02516- 3 2.70000+ 1 2.70000+ 1 1.05031- 6 5.05668- 3 2.70000+ 1 2.90000+ 1 1.15534- 5 5.06794- 3 2.70000+ 1 3.00000+ 1 1.05031- 6 5.06933- 3 2.90000+ 1 2.90000+ 1 9.11085- 6 5.07920- 3 2.90000+ 1 3.00000+ 1 2.73341- 5 5.08059- 3 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 7.27630- 3 3.65270- 3 1.00000+ 1 4.01710- 5 3.78523- 3 1.10000+ 1 3.74000- 5 3.84814- 3 1.30000+ 1 7.43320- 3 4.08379- 3 1.40000+ 1 6.58790- 2 4.09718- 3 1.60000+ 1 6.41050- 4 4.56633- 3 1.80000+ 1 3.53540- 6 4.61401- 3 1.90000+ 1 3.39230- 6 4.62672- 3 2.10000+ 1 1.08100- 3 4.70486- 3 2.20000+ 1 9.63999- 3 4.70692- 3 2.70000+ 1 9.02559- 5 4.75109- 3 2.90000+ 1 3.99850- 7 4.76235- 3 3.00000+ 1 3.69190- 7 4.76374- 3 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.38459- 3 2.53070- 3 8.00000+ 0 1.00000+ 1 9.64060- 4 2.66323- 3 8.00000+ 0 1.10000+ 1 2.96214- 2 2.72614- 3 8.00000+ 0 1.30000+ 1 2.89018- 3 2.96179- 3 8.00000+ 0 1.40000+ 1 3.27309- 3 2.97518- 3 8.00000+ 0 1.60000+ 1 4.74737- 4 3.44433- 3 8.00000+ 0 1.80000+ 1 1.58591- 4 3.49201- 3 8.00000+ 0 1.90000+ 1 4.05462- 3 3.50472- 3 8.00000+ 0 2.10000+ 1 2.44153- 4 3.58286- 3 8.00000+ 0 2.20000+ 1 2.55628- 4 3.58492- 3 8.00000+ 0 2.70000+ 1 6.46908- 5 3.62909- 3 8.00000+ 0 2.90000+ 1 1.56507- 5 3.64035- 3 8.00000+ 0 3.00000+ 1 3.74579- 4 3.64174- 3 1.00000+ 1 1.00000+ 1 3.16145- 4 2.79576- 3 1.00000+ 1 1.10000+ 1 4.91920- 2 2.85867- 3 1.00000+ 1 1.30000+ 1 3.16246- 3 3.09432- 3 1.00000+ 1 1.40000+ 1 2.84558- 2 3.10771- 3 1.00000+ 1 1.60000+ 1 1.77374- 4 3.57686- 3 1.00000+ 1 1.80000+ 1 1.04335- 4 3.62454- 3 1.00000+ 1 1.90000+ 1 6.96986- 3 3.63725- 3 1.00000+ 1 2.10000+ 1 4.52813- 4 3.71539- 3 1.00000+ 1 2.20000+ 1 3.55373- 3 3.71745- 3 1.00000+ 1 2.70000+ 1 2.50415- 5 3.76162- 3 1.00000+ 1 2.90000+ 1 1.04335- 5 3.77288- 3 1.00000+ 1 3.00000+ 1 6.47945- 4 3.77427- 3 1.10000+ 1 1.10000+ 1 6.89830- 2 2.92158- 3 1.10000+ 1 1.30000+ 1 6.91441- 2 3.15723- 3 1.10000+ 1 1.40000+ 1 1.03651- 1 3.17062- 3 1.10000+ 1 1.60000+ 1 6.42509- 3 3.63977- 3 1.10000+ 1 1.80000+ 1 9.36020- 3 3.68745- 3 1.10000+ 1 1.90000+ 1 2.30447- 2 3.70016- 3 1.10000+ 1 2.10000+ 1 1.02162- 2 3.77830- 3 1.10000+ 1 2.20000+ 1 1.51275- 2 3.78036- 3 1.10000+ 1 2.70000+ 1 9.16140- 4 3.82453- 3 1.10000+ 1 2.90000+ 1 9.58901- 4 3.83579- 3 1.10000+ 1 3.00000+ 1 2.20269- 3 3.83718- 3 1.30000+ 1 1.30000+ 1 9.89602- 3 3.39288- 3 1.30000+ 1 1.40000+ 1 1.90317- 1 3.40627- 3 1.30000+ 1 1.60000+ 1 5.87458- 4 3.87542- 3 1.30000+ 1 1.80000+ 1 5.99960- 4 3.92310- 3 1.30000+ 1 1.90000+ 1 9.16519- 3 3.93581- 3 1.30000+ 1 2.10000+ 1 2.60751- 3 4.01395- 3 1.30000+ 1 2.20000+ 1 2.16801- 2 4.01601- 3 1.30000+ 1 2.70000+ 1 8.24281- 5 4.06018- 3 1.30000+ 1 2.90000+ 1 6.15604- 5 4.07144- 3 1.30000+ 1 3.00000+ 1 8.43075- 4 4.07283- 3 1.40000+ 1 1.40000+ 1 1.28990- 1 3.41966- 3 1.40000+ 1 1.60000+ 1 7.05325- 4 3.88881- 3 1.40000+ 1 1.80000+ 1 5.05429- 3 3.93649- 3 1.40000+ 1 1.90000+ 1 1.52978- 2 3.94920- 3 1.40000+ 1 2.10000+ 1 2.53349- 2 4.02734- 3 1.40000+ 1 2.20000+ 1 3.25886- 2 4.02940- 3 1.40000+ 1 2.70000+ 1 1.01206- 4 4.07357- 3 1.40000+ 1 2.90000+ 1 5.12294- 4 4.08483- 3 1.40000+ 1 3.00000+ 1 1.43576- 3 4.08622- 3 1.60000+ 1 1.60000+ 1 4.38428- 5 4.35796- 3 1.60000+ 1 1.80000+ 1 3.26012- 5 4.40564- 3 1.60000+ 1 1.90000+ 1 9.49944- 4 4.41835- 3 1.60000+ 1 2.10000+ 1 5.73327- 5 4.49649- 3 1.60000+ 1 2.20000+ 1 6.29540- 5 4.49855- 3 1.60000+ 1 2.70000+ 1 1.23663- 5 4.54272- 3 1.60000+ 1 2.90000+ 1 3.37258- 6 4.55398- 3 1.60000+ 1 3.00000+ 1 8.76855- 5 4.55537- 3 1.80000+ 1 1.80000+ 1 8.02789- 6 4.45332- 3 1.80000+ 1 1.90000+ 1 1.27441- 3 4.46603- 3 1.80000+ 1 2.10000+ 1 8.12818- 5 4.54417- 3 1.80000+ 1 2.20000+ 1 6.24155- 4 4.54623- 3 1.80000+ 1 2.70000+ 1 4.01375- 6 4.59040- 3 1.80000+ 1 2.90000+ 1 2.00687- 6 4.60166- 3 1.80000+ 1 3.00000+ 1 1.18408- 4 4.60305- 3 1.90000+ 1 1.90000+ 1 1.75771- 3 4.47874- 3 1.90000+ 1 2.10000+ 1 1.27636- 3 4.55688- 3 1.90000+ 1 2.20000+ 1 2.07905- 3 4.55894- 3 1.90000+ 1 2.70000+ 1 1.18886- 4 4.60311- 3 1.90000+ 1 2.90000+ 1 1.27731- 4 4.61437- 3 1.90000+ 1 3.00000+ 1 3.34063- 4 4.61576- 3 2.10000+ 1 2.10000+ 1 1.76674- 4 4.63502- 3 2.10000+ 1 2.20000+ 1 3.11867- 3 4.63708- 3 2.10000+ 1 2.70000+ 1 7.68140- 6 4.68125- 3 2.10000+ 1 2.90000+ 1 8.77907- 6 4.69251- 3 2.10000+ 1 3.00000+ 1 1.31689- 4 4.69390- 3 2.20000+ 1 2.20000+ 1 2.27414- 3 4.63914- 3 2.20000+ 1 2.70000+ 1 9.17935- 6 4.68331- 3 2.20000+ 1 2.90000+ 1 7.22866- 5 4.69457- 3 2.20000+ 1 3.00000+ 1 2.27192- 4 4.69596- 3 2.70000+ 1 2.70000+ 1 1.74576- 6 4.72748- 3 2.70000+ 1 3.00000+ 1 1.92042- 5 4.74013- 3 2.90000+ 1 3.00000+ 1 1.56510- 5 4.75139- 3 3.00000+ 1 3.00000+ 1 2.14940- 5 4.75278- 3 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.26204- 5 1.32530- 4 1.10000+ 1 8.43362- 5 1.95440- 4 1.80000+ 1 2.27950- 4 9.61310- 4 1.90000+ 1 3.09248- 4 9.74020- 4 2.90000+ 1 2.84097- 5 1.10965- 3 3.00000+ 1 3.79478- 5 1.11104- 3 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 8.98435- 2 6.26900- 5 1.00000+ 1 2.20000+ 1 1.23229- 1 6.47500- 5 1.00000+ 1 2.70000+ 1 9.08811- 3 1.08920- 4 1.00000+ 1 2.90000+ 1 6.50251- 3 1.20180- 4 1.00000+ 1 3.00000+ 1 1.08334- 2 1.21570- 4 1.10000+ 1 1.80000+ 1 9.52022- 2 3.47500- 5 1.10000+ 1 1.90000+ 1 1.46209- 1 4.74600- 5 1.10000+ 1 2.10000+ 1 6.59116- 2 1.25600- 4 1.10000+ 1 2.20000+ 1 9.62122- 2 1.27660- 4 1.10000+ 1 2.70000+ 1 1.21415- 2 1.71830- 4 1.10000+ 1 2.90000+ 1 9.05711- 3 1.83090- 4 1.10000+ 1 3.00000+ 1 1.35936- 2 1.84480- 4 1.30000+ 1 1.60000+ 1 3.60225- 2 2.22720- 4 1.30000+ 1 1.80000+ 1 7.61524- 3 2.70400- 4 1.30000+ 1 1.90000+ 1 5.98012- 3 2.83110- 4 1.30000+ 1 2.10000+ 1 9.60553- 3 3.61250- 4 1.30000+ 1 2.20000+ 1 1.17826- 2 3.63310- 4 1.30000+ 1 2.70000+ 1 3.59419- 3 4.07480- 4 1.30000+ 1 2.90000+ 1 6.33647- 4 4.18740- 4 1.30000+ 1 3.00000+ 1 4.63705- 4 4.20130- 4 1.40000+ 1 1.60000+ 1 5.26696- 2 2.36110- 4 1.40000+ 1 1.80000+ 1 1.89730- 3 2.83790- 4 1.40000+ 1 1.90000+ 1 1.49167- 2 2.96500- 4 1.40000+ 1 2.10000+ 1 1.24389- 2 3.74640- 4 1.40000+ 1 2.20000+ 1 1.95409- 2 3.76700- 4 1.40000+ 1 2.70000+ 1 5.22473- 3 4.20870- 4 1.40000+ 1 2.90000+ 1 1.46893- 4 4.32130- 4 1.40000+ 1 3.00000+ 1 1.16445- 3 4.33520- 4 1.60000+ 1 1.60000+ 1 8.51591- 3 7.05260- 4 1.60000+ 1 1.80000+ 1 1.37313- 2 7.52940- 4 1.60000+ 1 1.90000+ 1 2.52760- 2 7.65650- 4 1.60000+ 1 2.10000+ 1 2.47403- 2 8.43790- 4 1.60000+ 1 2.20000+ 1 3.60446- 2 8.45850- 4 1.60000+ 1 2.70000+ 1 2.02363- 3 8.90020- 4 1.60000+ 1 2.90000+ 1 1.39959- 3 9.01280- 4 1.60000+ 1 3.00000+ 1 2.44753- 3 9.02670- 4 1.80000+ 1 1.80000+ 1 7.60174- 4 8.00620- 4 1.80000+ 1 1.90000+ 1 1.85598- 3 8.13330- 4 1.80000+ 1 2.10000+ 1 1.09414- 3 8.91470- 4 1.80000+ 1 2.20000+ 1 4.03762- 4 8.93530- 4 1.80000+ 1 2.70000+ 1 1.29853- 3 9.37700- 4 1.80000+ 1 2.90000+ 1 1.28774- 4 9.48960- 4 1.80000+ 1 3.00000+ 1 1.45389- 4 9.50350- 4 1.90000+ 1 1.90000+ 1 2.40546- 3 8.26040- 4 1.90000+ 1 2.10000+ 1 1.03949- 3 9.04180- 4 1.90000+ 1 2.20000+ 1 2.90518- 3 9.06240- 4 1.90000+ 1 2.70000+ 1 2.31723- 3 9.50410- 4 1.90000+ 1 2.90000+ 1 1.54806- 4 9.61670- 4 1.90000+ 1 3.00000+ 1 3.97824- 4 9.63060- 4 2.10000+ 1 2.10000+ 1 3.13120- 4 9.82320- 4 2.10000+ 1 2.20000+ 1 1.11218- 3 9.84380- 4 2.10000+ 1 2.70000+ 1 2.31403- 3 1.02855- 3 2.10000+ 1 2.90000+ 1 8.55546- 5 1.03981- 3 2.10000+ 1 3.00000+ 1 8.22293- 5 1.04120- 3 2.20000+ 1 2.20000+ 1 7.44067- 4 9.86440- 4 2.20000+ 1 2.70000+ 1 3.39165- 3 1.03061- 3 2.20000+ 1 2.90000+ 1 3.00970- 5 1.04187- 3 2.20000+ 1 3.00000+ 1 2.35758- 4 1.04326- 3 2.70000+ 1 2.70000+ 1 8.60760- 5 1.07478- 3 2.70000+ 1 2.90000+ 1 1.02014- 4 1.08604- 3 2.70000+ 1 3.00000+ 1 1.78524- 4 1.08743- 3 2.90000+ 1 2.90000+ 1 2.23235- 6 1.09730- 3 2.90000+ 1 3.00000+ 1 5.58118- 6 1.09869- 3 3.00000+ 1 3.00000+ 1 1.05390- 5 1.10008- 3 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.23922- 4 2.98560- 4 1.60000+ 1 2.93474- 4 7.81100- 4 2.10000+ 1 1.10941- 3 9.19630- 4 2.70000+ 1 4.42907- 5 9.65860- 4 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.20000+ 1 4.54615- 2 0.00000+ 0 1.10000+ 1 2.70000+ 1 8.17419- 3 3.93000- 5 1.10000+ 1 2.90000+ 1 6.75548- 3 5.05600- 5 1.10000+ 1 3.00000+ 1 7.95812- 3 5.19500- 5 1.30000+ 1 1.60000+ 1 1.26439- 1 9.01900- 5 1.30000+ 1 1.80000+ 1 1.28225- 1 1.37870- 4 1.30000+ 1 1.90000+ 1 1.87814- 1 1.50580- 4 1.30000+ 1 2.10000+ 1 5.27275- 2 2.28720- 4 1.30000+ 1 2.20000+ 1 5.66639- 2 2.30780- 4 1.30000+ 1 2.70000+ 1 1.81619- 2 2.74950- 4 1.30000+ 1 2.90000+ 1 1.15331- 2 2.86210- 4 1.30000+ 1 3.00000+ 1 1.75443- 2 2.87600- 4 1.40000+ 1 1.60000+ 1 2.16181- 2 1.03580- 4 1.40000+ 1 1.80000+ 1 1.55228- 1 1.51260- 4 1.40000+ 1 1.90000+ 1 1.62144- 2 1.63970- 4 1.40000+ 1 2.10000+ 1 3.35803- 3 2.42110- 4 1.40000+ 1 2.20000+ 1 6.97326- 3 2.44170- 4 1.40000+ 1 2.70000+ 1 2.10220- 3 2.88340- 4 1.40000+ 1 2.90000+ 1 1.17157- 2 2.99600- 4 1.40000+ 1 3.00000+ 1 1.38477- 3 3.00990- 4 1.60000+ 1 1.60000+ 1 7.11491- 4 5.72730- 4 1.60000+ 1 1.80000+ 1 1.00712- 2 6.20410- 4 1.60000+ 1 1.90000+ 1 1.64492- 3 6.33120- 4 1.60000+ 1 2.10000+ 1 3.60604- 4 7.11260- 4 1.60000+ 1 2.20000+ 1 1.05443- 3 7.13320- 4 1.60000+ 1 2.70000+ 1 1.61142- 4 7.57490- 4 1.60000+ 1 2.90000+ 1 7.26084- 4 7.68750- 4 1.60000+ 1 3.00000+ 1 1.44113- 4 7.70140- 4 1.80000+ 1 1.80000+ 1 7.18716- 3 6.68090- 4 1.80000+ 1 1.90000+ 1 2.24402- 2 6.80800- 4 1.80000+ 1 2.10000+ 1 1.91939- 2 7.58940- 4 1.80000+ 1 2.20000+ 1 3.19327- 2 7.61000- 4 1.80000+ 1 2.70000+ 1 1.43652- 3 8.05170- 4 1.80000+ 1 2.90000+ 1 1.26701- 3 8.16430- 4 1.80000+ 1 3.00000+ 1 2.16657- 3 8.17820- 4 1.90000+ 1 1.90000+ 1 6.35024- 4 6.93510- 4 1.90000+ 1 2.10000+ 1 1.98394- 3 7.71650- 4 1.90000+ 1 2.20000+ 1 1.44210- 3 7.73710- 4 1.90000+ 1 2.70000+ 1 1.71361- 4 8.17880- 4 1.90000+ 1 2.90000+ 1 1.73954- 3 8.29140- 4 1.90000+ 1 3.00000+ 1 1.04112- 4 8.30530- 4 2.10000+ 1 2.10000+ 1 6.39249- 4 8.49790- 4 2.10000+ 1 2.20000+ 1 1.60199- 3 8.51850- 4 2.10000+ 1 2.70000+ 1 4.45985- 5 8.96020- 4 2.10000+ 1 2.90000+ 1 1.33914- 3 9.07280- 4 2.10000+ 1 3.00000+ 1 1.48662- 4 9.08670- 4 2.20000+ 1 2.20000+ 1 2.04162- 4 8.53910- 4 2.20000+ 1 2.70000+ 1 5.78418- 5 8.98080- 4 2.20000+ 1 2.90000+ 1 1.18744- 3 9.09340- 4 2.20000+ 1 3.00000+ 1 5.31492- 5 9.10730- 4 2.70000+ 1 2.70000+ 1 7.24053- 6 9.42250- 4 2.70000+ 1 2.90000+ 1 8.10945- 5 9.53510- 4 2.70000+ 1 3.00000+ 1 1.11021- 5 9.54900- 4 2.90000+ 1 2.90000+ 1 3.12454- 5 9.64770- 4 2.90000+ 1 3.00000+ 1 9.30160- 5 9.66160- 4 3.00000+ 1 3.00000+ 1 2.44933- 6 9.67550- 4 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.21851- 5 2.35650- 4 1.40000+ 1 2.41335- 4 2.49040- 4 1.60000+ 1 3.66684- 4 7.18190- 4 2.10000+ 1 1.36958- 4 8.56720- 4 2.20000+ 1 1.12974- 3 8.58780- 4 2.70000+ 1 5.48100- 5 9.02950- 4 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 2.71286- 2 2.72800- 5 1.30000+ 1 1.80000+ 1 1.79867- 2 7.49600- 5 1.30000+ 1 1.90000+ 1 1.04918- 1 8.76700- 5 1.30000+ 1 2.10000+ 1 1.29951- 2 1.65810- 4 1.30000+ 1 2.20000+ 1 9.54389- 3 1.67870- 4 1.30000+ 1 2.70000+ 1 2.91347- 3 2.12040- 4 1.30000+ 1 2.90000+ 1 1.72128- 3 2.23300- 4 1.30000+ 1 3.00000+ 1 8.10935- 3 2.24690- 4 1.40000+ 1 1.60000+ 1 1.15746- 1 4.06700- 5 1.40000+ 1 1.80000+ 1 1.19367- 1 8.83500- 5 1.40000+ 1 1.90000+ 1 2.34124- 1 1.01060- 4 1.40000+ 1 2.10000+ 1 5.07807- 2 1.79200- 4 1.40000+ 1 2.20000+ 1 8.44980- 2 1.81260- 4 1.40000+ 1 2.70000+ 1 1.65062- 2 2.25430- 4 1.40000+ 1 2.90000+ 1 1.15884- 2 2.36690- 4 1.40000+ 1 3.00000+ 1 2.01376- 2 2.38080- 4 1.60000+ 1 1.60000+ 1 8.03028- 4 5.09820- 4 1.60000+ 1 1.80000+ 1 1.17422- 3 5.57500- 4 1.60000+ 1 1.90000+ 1 1.70023- 2 5.70210- 4 1.60000+ 1 2.10000+ 1 9.86782- 4 6.48350- 4 1.60000+ 1 2.20000+ 1 1.07868- 3 6.50410- 4 1.60000+ 1 2.70000+ 1 1.81922- 4 6.94580- 4 1.60000+ 1 2.90000+ 1 1.01989- 4 7.05840- 4 1.60000+ 1 3.00000+ 1 1.18526- 3 7.07230- 4 1.80000+ 1 1.80000+ 1 1.90674- 4 6.05180- 4 1.80000+ 1 1.90000+ 1 1.91487- 2 6.17890- 4 1.80000+ 1 2.10000+ 1 5.25034- 4 6.96030- 4 1.80000+ 1 2.20000+ 1 3.02399- 3 6.98090- 4 1.80000+ 1 2.70000+ 1 1.19748- 4 7.42260- 4 1.80000+ 1 2.90000+ 1 3.13178- 5 7.53520- 4 1.80000+ 1 3.00000+ 1 1.34947- 3 7.54910- 4 1.90000+ 1 1.90000+ 1 2.48295- 2 6.30600- 4 1.90000+ 1 2.10000+ 1 3.10231- 2 7.08740- 4 1.90000+ 1 2.20000+ 1 4.22075- 2 7.10800- 4 1.90000+ 1 2.70000+ 1 2.09267- 3 7.54970- 4 1.90000+ 1 2.90000+ 1 1.71438- 3 7.66230- 4 1.90000+ 1 3.00000+ 1 4.14942- 3 7.67620- 4 2.10000+ 1 2.10000+ 1 1.73248- 4 7.86880- 4 2.10000+ 1 2.20000+ 1 2.00734- 3 7.88940- 4 2.10000+ 1 2.70000+ 1 6.17858- 5 8.33110- 4 2.10000+ 1 2.90000+ 1 2.42287- 5 8.44370- 4 2.10000+ 1 3.00000+ 1 1.61491- 3 8.45760- 4 2.20000+ 1 2.20000+ 1 9.72047- 4 7.91000- 4 2.20000+ 1 2.70000+ 1 5.77792- 5 8.35170- 4 2.20000+ 1 2.90000+ 1 1.14100- 4 8.46430- 4 2.20000+ 1 3.00000+ 1 1.74981- 3 8.47820- 4 2.70000+ 1 2.70000+ 1 6.23866- 6 8.79340- 4 2.70000+ 1 2.90000+ 1 6.23866- 6 8.90600- 4 2.70000+ 1 3.00000+ 1 9.25395- 5 8.91990- 4 2.90000+ 1 2.90000+ 1 5.19899- 7 9.01860- 4 2.90000+ 1 3.00000+ 1 7.69443- 5 9.03250- 4 3.00000+ 1 3.00000+ 1 1.06347- 4 9.04640- 4 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.78220- 3 5.30220- 4 1.90000+ 1 2.81619- 4 5.42930- 4 2.90000+ 1 1.93170- 4 6.78560- 4 3.00000+ 1 2.92809- 5 6.79950- 4 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.90000+ 1 4.09385- 3 1.04000- 6 1.40000+ 1 3.00000+ 1 1.28221- 2 2.43000- 6 1.60000+ 1 1.60000+ 1 3.20525- 5 2.74170- 4 1.60000+ 1 1.80000+ 1 5.84296- 3 3.21850- 4 1.60000+ 1 1.90000+ 1 4.72560- 3 3.34560- 4 1.60000+ 1 2.10000+ 1 1.12367- 1 4.12700- 4 1.60000+ 1 2.20000+ 1 1.60132- 2 4.14760- 4 1.60000+ 1 2.70000+ 1 2.74744- 5 4.58930- 4 1.60000+ 1 2.90000+ 1 4.71648- 4 4.70190- 4 1.60000+ 1 3.00000+ 1 2.79329- 4 4.71580- 4 1.80000+ 1 1.80000+ 1 1.85929- 3 3.69530- 4 1.80000+ 1 1.90000+ 1 1.73555- 2 3.82240- 4 1.80000+ 1 2.10000+ 1 8.96346- 2 4.60380- 4 1.80000+ 1 2.20000+ 1 7.88559- 3 4.62440- 4 1.80000+ 1 2.70000+ 1 4.12136- 4 5.06610- 4 1.80000+ 1 2.90000+ 1 3.34284- 4 5.17870- 4 1.80000+ 1 3.00000+ 1 1.26839- 3 5.19260- 4 1.90000+ 1 1.90000+ 1 6.74057- 3 3.94950- 4 1.90000+ 1 2.10000+ 1 1.98079- 1 4.73090- 4 1.90000+ 1 2.20000+ 1 7.60596- 3 4.75150- 4 1.90000+ 1 2.70000+ 1 4.12125- 4 5.19320- 4 1.90000+ 1 2.90000+ 1 1.30510- 3 5.30580- 4 1.90000+ 1 3.00000+ 1 9.57042- 4 5.31970- 4 2.10000+ 1 2.10000+ 1 1.49771- 1 5.51230- 4 2.10000+ 1 2.20000+ 1 3.07974- 1 5.53290- 4 2.10000+ 1 2.70000+ 1 1.42057- 2 5.97460- 4 2.10000+ 1 2.90000+ 1 9.07857- 3 6.08720- 4 2.10000+ 1 3.00000+ 1 1.86393- 2 6.10110- 4 2.20000+ 1 2.20000+ 1 5.08743- 3 5.55350- 4 2.20000+ 1 2.70000+ 1 1.12651- 3 5.99520- 4 2.20000+ 1 2.90000+ 1 5.44925- 4 6.10780- 4 2.20000+ 1 3.00000+ 1 5.90719- 4 6.12170- 4 2.70000+ 1 2.90000+ 1 3.92614- 5 6.54950- 4 2.70000+ 1 3.00000+ 1 2.18115- 5 6.56340- 4 2.90000+ 1 2.90000+ 1 9.01829- 6 6.66210- 4 2.90000+ 1 3.00000+ 1 6.61355- 5 6.67600- 4 3.00000+ 1 3.00000+ 1 3.41659- 5 6.68990- 4 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.93632- 3 5.29540- 4 3.00000+ 1 2.01152- 4 6.66560- 4 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.13937- 4 2.60780- 4 1.60000+ 1 1.80000+ 1 2.52951- 3 3.08460- 4 1.60000+ 1 1.90000+ 1 9.01947- 3 3.21170- 4 1.60000+ 1 2.10000+ 1 1.19188- 2 3.99310- 4 1.60000+ 1 2.20000+ 1 1.19627- 1 4.01370- 4 1.60000+ 1 2.70000+ 1 3.64612- 5 4.45540- 4 1.60000+ 1 2.90000+ 1 1.18499- 4 4.56800- 4 1.60000+ 1 3.00000+ 1 6.38066- 4 4.58190- 4 1.80000+ 1 1.90000+ 1 1.72470- 2 3.68850- 4 1.80000+ 1 2.10000+ 1 1.31261- 3 4.46990- 4 1.80000+ 1 2.20000+ 1 1.11266- 1 4.49050- 4 1.80000+ 1 2.70000+ 1 1.91427- 4 4.93220- 4 1.80000+ 1 3.00000+ 1 1.24424- 3 5.05870- 4 1.90000+ 1 1.90000+ 1 1.29165- 2 3.81560- 4 1.90000+ 1 2.10000+ 1 1.02452- 2 4.59700- 4 1.90000+ 1 2.20000+ 1 1.83561- 1 4.61760- 4 1.90000+ 1 2.70000+ 1 7.24691- 4 5.05930- 4 1.90000+ 1 2.90000+ 1 1.22158- 3 5.17190- 4 1.90000+ 1 3.00000+ 1 1.92336- 3 5.18580- 4 2.10000+ 1 2.10000+ 1 2.08757- 3 5.37840- 4 2.10000+ 1 2.20000+ 1 2.15467- 1 5.39900- 4 2.10000+ 1 2.70000+ 1 8.29510- 4 5.84070- 4 2.10000+ 1 2.90000+ 1 1.27618- 4 5.95330- 4 2.10000+ 1 3.00000+ 1 7.11026- 4 5.96720- 4 2.20000+ 1 2.20000+ 1 2.49282- 1 5.41960- 4 2.20000+ 1 2.70000+ 1 1.47626- 2 5.86130- 4 2.20000+ 1 2.90000+ 1 1.09521- 2 5.97390- 4 2.20000+ 1 3.00000+ 1 1.75069- 2 5.98780- 4 2.70000+ 1 2.90000+ 1 1.18340- 5 6.41560- 4 2.70000+ 1 3.00000+ 1 7.10049- 5 6.42950- 4 2.90000+ 1 3.00000+ 1 9.12910- 5 6.54210- 4 3.00000+ 1 3.00000+ 1 1.07371- 4 6.55600- 4 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.12457- 5 4.76800- 5 1.90000+ 1 4.28906- 5 6.03900- 5 2.90000+ 1 9.46397- 6 1.96020- 4 3.00000+ 1 9.08276- 6 1.97410- 4 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.70000+ 1 8.32736- 2 2.40700- 5 1.80000+ 1 2.90000+ 1 5.06202- 2 3.53300- 5 1.80000+ 1 3.00000+ 1 1.15048- 1 3.67200- 5 1.90000+ 1 2.70000+ 1 1.24769- 1 3.67800- 5 1.90000+ 1 2.90000+ 1 1.08354- 1 4.80400- 5 1.90000+ 1 3.00000+ 1 1.48959- 1 4.94300- 5 2.10000+ 1 2.10000+ 1 5.96540- 3 6.86900- 5 2.10000+ 1 2.20000+ 1 8.80750- 2 7.07500- 5 2.10000+ 1 2.70000+ 1 3.13400- 2 1.14920- 4 2.10000+ 1 2.90000+ 1 4.16902- 3 1.26180- 4 2.10000+ 1 3.00000+ 1 2.04515- 2 1.27570- 4 2.20000+ 1 2.20000+ 1 3.23010- 2 7.28100- 5 2.20000+ 1 2.70000+ 1 4.78604- 2 1.16980- 4 2.20000+ 1 2.90000+ 1 1.85678- 2 1.28240- 4 2.20000+ 1 3.00000+ 1 1.82116- 2 1.29630- 4 2.70000+ 1 2.70000+ 1 1.40408- 2 1.61150- 4 2.70000+ 1 2.90000+ 1 1.47300- 2 1.72410- 4 2.70000+ 1 3.00000+ 1 2.57576- 2 1.73800- 4 2.90000+ 1 2.90000+ 1 5.04777- 3 1.83670- 4 2.90000+ 1 3.00000+ 1 2.36544- 2 1.85060- 4 3.00000+ 1 3.00000+ 1 1.87311- 2 1.86450- 4 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 9.16709- 5 9.08500- 5 2.70000+ 1 1.24890- 5 1.37080- 4 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 3.19292- 3 3.60000- 7 1.90000+ 1 3.00000+ 1 4.70697- 3 1.75000- 6 2.10000+ 1 2.10000+ 1 1.61182- 1 2.10100- 5 2.10000+ 1 2.20000+ 1 7.42342- 1 2.30700- 5 2.10000+ 1 2.70000+ 1 1.60252- 2 6.72400- 5 2.10000+ 1 2.90000+ 1 1.02080- 2 7.85000- 5 2.10000+ 1 3.00000+ 1 2.03822- 2 7.98900- 5 2.20000+ 1 2.20000+ 1 2.54467- 2 2.51300- 5 2.20000+ 1 2.70000+ 1 2.20325- 3 6.93000- 5 2.20000+ 1 2.90000+ 1 1.01669- 2 8.05600- 5 2.20000+ 1 3.00000+ 1 2.24012- 3 8.19500- 5 2.70000+ 1 2.70000+ 1 2.20759- 5 1.13470- 4 2.70000+ 1 2.90000+ 1 5.74488- 4 1.24730- 4 2.70000+ 1 3.00000+ 1 7.19851- 5 1.26120- 4 2.90000+ 1 2.90000+ 1 2.84313- 4 1.35990- 4 2.90000+ 1 3.00000+ 1 8.18786- 4 1.37380- 4 3.00000+ 1 3.00000+ 1 2.82610- 5 1.38770- 4 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.29319- 6 7.81400- 5 2.20000+ 1 2.38608- 5 8.02000- 5 2.70000+ 1 4.75907- 6 1.24370- 4 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 5.80238- 2 8.30000- 6 2.10000+ 1 2.20000+ 1 2.94546- 1 1.03600- 5 2.10000+ 1 2.70000+ 1 2.49165- 3 5.45300- 5 2.10000+ 1 2.90000+ 1 1.75630- 3 6.57900- 5 2.10000+ 1 3.00000+ 1 7.61009- 3 6.71800- 5 2.20000+ 1 2.20000+ 1 5.89073- 1 1.24200- 5 2.20000+ 1 2.70000+ 1 1.36657- 2 5.65900- 5 2.20000+ 1 2.90000+ 1 1.20733- 2 6.78500- 5 2.20000+ 1 3.00000+ 1 1.94638- 2 6.92400- 5 2.70000+ 1 2.70000+ 1 1.55220- 6 1.00760- 4 2.70000+ 1 2.90000+ 1 3.34235- 5 1.12020- 4 2.70000+ 1 3.00000+ 1 6.11640- 4 1.13410- 4 2.90000+ 1 2.90000+ 1 3.16997- 6 1.23280- 4 2.90000+ 1 3.00000+ 1 2.52438- 4 1.24670- 4 3.00000+ 1 3.00000+ 1 3.63168- 4 1.26060- 4 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.44001- 7 5.74900- 5 3.00000+ 1 7.59381- 8 5.88800- 5 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 3.25078- 1 2.26200- 5 2.70000+ 1 2.90000+ 1 7.75770- 2 3.38800- 5 2.70000+ 1 3.00000+ 1 4.66254- 2 3.52700- 5 2.90000+ 1 2.90000+ 1 1.50101- 1 4.51400- 5 2.90000+ 1 3.00000+ 1 3.16940- 1 4.65300- 5 3.00000+ 1 3.00000+ 1 8.36781- 2 4.79200- 5 1 54000 0 7 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 5.35970- 7 5.68200- 5 1 54000 0 9 1.31300+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 3.68057- 1 2.05600- 5 2.70000+ 1 2.90000+ 1 6.75438- 2 3.18200- 5 2.70000+ 1 3.00000+ 1 1.00209- 1 3.32100- 5 2.90000+ 1 2.90000+ 1 2.62920- 2 4.30800- 5 2.90000+ 1 3.00000+ 1 1.90988- 1 4.44700- 5 3.00000+ 1 3.00000+ 1 2.46910- 1 4.58600- 5 1 55000 0 0 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 1.00000+ 0 1 55000 0 0 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.59850- 2 3.00000+ 0 5.68490- 3 5.00000+ 0 5.36320- 3 6.00000+ 0 5.00610- 3 8.00000+ 0 1.19640- 3 1.00000+ 1 1.05950- 3 1.10000+ 1 9.90680- 4 1.30000+ 1 7.47700- 4 1.40000+ 1 7.32980- 4 1.60000+ 1 2.31860- 4 1.80000+ 1 1.81970- 4 1.90000+ 1 1.67760- 4 2.10000+ 1 8.56100- 5 2.20000+ 1 8.32400- 5 2.70000+ 1 3.09700- 5 2.90000+ 1 1.82700- 5 3.00000+ 1 1.64300- 5 4.10000+ 1 3.69000- 6 1 55000 0 0 1.32905+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.60600- 2 3.00000+ 0 1.01260- 2 5.00000+ 0 1.01360- 2 6.00000+ 0 8.83350- 3 8.00000+ 0 2.99260- 3 1.00000+ 1 2.92040- 3 1.10000+ 1 2.62620- 3 1.30000+ 1 2.49900- 3 1.40000+ 1 2.42810- 3 1.60000+ 1 8.80970- 4 1.80000+ 1 8.10070- 4 1.90000+ 1 7.33450- 4 2.10000+ 1 5.87740- 4 2.20000+ 1 5.71300- 4 2.70000+ 1 1.78890- 4 2.90000+ 1 1.36150- 4 3.00000+ 1 1.21050- 4 4.10000+ 1 1.39400- 5 1 55000 0 0 1.32905+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.37940-10 3.00000+ 0 5.88890-10 5.00000+ 0 4.95060-10 6.00000+ 0 5.26330-10 8.00000+ 0 1.57010- 9 1.00000+ 1 1.51490- 9 1.10000+ 1 1.57630- 9 1.30000+ 1 1.41950- 9 1.40000+ 1 1.43880- 9 1.60000+ 1 3.63570- 9 1.80000+ 1 3.75930- 9 1.90000+ 1 3.90020- 9 2.10000+ 1 4.29020- 9 2.20000+ 1 4.34040- 9 2.70000+ 1 8.92800- 9 2.90000+ 1 1.02100- 8 3.00000+ 1 1.06810- 8 4.10000+ 1 3.00700- 8 1 55000 0 0 1.32905+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.07070- 5 3.00000+ 0 1.80310- 7 5.00000+ 0 3.02830- 7 6.00000+ 0 2.84270- 7 8.00000+ 0 4.74620- 9 1.00000+ 1 4.66510- 9 1.10000+ 1 4.66100- 9 1.30000+ 1 3.61360-10 1.40000+ 1 3.05800-10 1.60000+ 1 1.16950-10 1.80000+ 1 2.62510-10 1.90000+ 1 2.01820-10 2.10000+ 1 1.20860-11 2.20000+ 1 1.06100-11 1 55000 0 0 1.32905+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.23870- 6 3.00000+ 0 3.29370- 6 5.00000+ 0 2.65020- 6 6.00000+ 0 2.43890- 6 8.00000+ 0 1.15470- 5 1.00000+ 1 4.93840- 6 1.10000+ 1 5.84160- 6 1.30000+ 1 6.26540- 7 1.40000+ 1 6.32580- 7 1.60000+ 1 5.76190- 6 1.80000+ 1 2.33980- 5 1.90000+ 1 3.72710- 5 2.10000+ 1 7.71840- 8 2.20000+ 1 7.48700- 8 1 55000 0 0 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.50959- 4 3.00000+ 0 2.90909- 4 5.00000+ 0 2.48147- 4 6.00000+ 0 2.36925- 4 8.00000+ 0 2.11631- 4 1.00000+ 1 1.78742- 4 1.10000+ 1 1.75725- 4 1.30000+ 1 1.08226- 4 1.40000+ 1 1.09398- 4 1.60000+ 1 9.16850- 5 1.80000+ 1 8.53370- 5 1.90000+ 1 8.64585- 5 2.10000+ 1 4.30528- 5 2.20000+ 1 4.44307- 5 2.70000+ 1 3.09700- 5 2.90000+ 1 1.82700- 5 3.00000+ 1 1.64300- 5 4.10000+ 1 3.69000- 6 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.97496- 1 3.00000+ 0 1.09438- 1 5.00000+ 0 1.20212- 1 6.00000+ 0 1.03496- 1 8.00000+ 0 4.29578- 3 1.00000+ 1 4.56828- 3 1.10000+ 1 4.31813- 3 1.30000+ 1 2.77703- 3 1.40000+ 1 2.56653- 3 1.60000+ 1 1.27666- 4 1.80000+ 1 1.26397- 4 1.90000+ 1 3.88942- 5 2.10000+ 1 9.47759- 7 2.20000+ 1 9.73099- 7 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.88452- 2 3.00000+ 0 4.82723- 4 5.00000+ 0 5.34456- 4 6.00000+ 0 4.27127- 4 8.00000+ 0 3.02005- 6 1.00000+ 1 3.08791- 6 1.10000+ 1 2.92466- 6 1.30000+ 1 1.60465- 6 1.40000+ 1 1.47134- 6 1.60000+ 1 1.33204- 8 1.80000+ 1 1.30182- 8 1.90000+ 1 3.57202- 9 2.10000+ 1 6.40787-11 2.20000+ 1 6.50127-11 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.04666+ 1 3.00000+ 0 1.22870+ 1 5.00000+ 0 1.03541+ 1 6.00000+ 0 9.81528+ 0 8.00000+ 0 8.66547+ 0 1.00000+ 1 7.18804+ 0 1.10000+ 1 7.02099+ 0 1.30000+ 1 3.97501+ 0 1.40000+ 1 3.97405+ 0 1.60000+ 1 3.19840+ 0 1.80000+ 1 2.91556+ 0 1.90000+ 1 2.93895+ 0 2.10000+ 1 9.99999- 1 2.20000+ 1 9.99999- 1 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.88888- 3 3.00000+ 0 4.91127- 3 5.00000+ 0 4.58060- 3 6.00000+ 0 4.34205- 3 8.00000+ 0 9.81749- 4 1.00000+ 1 8.77670- 4 1.10000+ 1 8.12030- 4 1.30000+ 1 6.37870- 4 1.40000+ 1 6.22110- 4 1.60000+ 1 1.40162- 4 1.80000+ 1 9.66199- 5 1.90000+ 1 8.12980- 5 2.10000+ 1 4.25571- 5 2.20000+ 1 3.88093- 5 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.57590- 1 3.06218- 2 6.00000+ 0 4.75711- 1 3.09789- 2 1.00000+ 1 4.50681- 2 3.49255- 2 1.10000+ 1 8.73561- 2 3.49943- 2 1.30000+ 1 4.66391- 4 3.52373- 2 1.40000+ 1 6.35151- 4 3.52520- 2 1.80000+ 1 9.48262- 3 3.58030- 2 1.90000+ 1 1.84830- 2 3.58172- 2 2.10000+ 1 9.09342- 5 3.58994- 2 2.20000+ 1 1.23610- 4 3.59018- 2 2.90000+ 1 1.16990- 3 3.59667- 2 3.00000+ 1 2.21200- 3 3.59686- 2 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 8.24482- 3 2.46152- 2 3.00000+ 0 5.00000+ 0 9.83301- 3 2.49369- 2 3.00000+ 0 6.00000+ 0 1.15824- 2 2.52940- 2 3.00000+ 0 8.00000+ 0 2.95775- 3 2.91037- 2 3.00000+ 0 1.00000+ 1 1.89175- 3 2.92406- 2 3.00000+ 0 1.10000+ 1 2.25698- 3 2.93094- 2 3.00000+ 0 1.30000+ 1 1.47986- 4 2.95524- 2 3.00000+ 0 1.40000+ 1 1.59373- 4 2.95671- 2 3.00000+ 0 1.60000+ 1 6.47312- 4 3.00682- 2 3.00000+ 0 1.80000+ 1 3.91059- 4 3.01181- 2 3.00000+ 0 1.90000+ 1 4.64273- 4 3.01323- 2 3.00000+ 0 2.10000+ 1 2.79008- 5 3.02145- 2 3.00000+ 0 2.20000+ 1 2.96863- 5 3.02169- 2 3.00000+ 0 2.70000+ 1 1.00447- 4 3.02691- 2 3.00000+ 0 2.90000+ 1 4.75444- 5 3.02818- 2 3.00000+ 0 3.00000+ 1 5.44630- 5 3.02837- 2 3.00000+ 0 4.10000+ 1 3.34817- 6 3.02964- 2 5.00000+ 0 5.00000+ 0 1.17047- 3 2.52586- 2 5.00000+ 0 6.00000+ 0 2.45362- 2 2.56157- 2 5.00000+ 0 8.00000+ 0 1.46720- 3 2.94254- 2 5.00000+ 0 1.00000+ 1 4.03773- 4 2.95623- 2 5.00000+ 0 1.10000+ 1 3.99539- 3 2.96311- 2 5.00000+ 0 1.30000+ 1 1.75443- 4 2.98741- 2 5.00000+ 0 1.40000+ 1 5.84125- 4 2.98888- 2 5.00000+ 0 1.60000+ 1 3.09148- 4 3.03899- 2 5.00000+ 0 1.80000+ 1 8.19168- 5 3.04398- 2 5.00000+ 0 1.90000+ 1 7.94621- 4 3.04540- 2 5.00000+ 0 2.10000+ 1 3.23650- 5 3.05362- 2 5.00000+ 0 2.20000+ 1 1.07815- 4 3.05386- 2 5.00000+ 0 2.70000+ 1 4.75437- 5 3.05908- 2 5.00000+ 0 2.90000+ 1 9.82111- 6 3.06035- 2 5.00000+ 0 3.00000+ 1 9.26268- 5 3.06054- 2 5.00000+ 0 4.10000+ 1 1.56235- 6 3.06181- 2 6.00000+ 0 6.00000+ 0 1.21928- 2 2.59728- 2 6.00000+ 0 8.00000+ 0 1.68583- 3 2.97825- 2 6.00000+ 0 1.00000+ 1 3.89036- 3 2.99194- 2 6.00000+ 0 1.10000+ 1 4.07823- 3 2.99882- 2 6.00000+ 0 1.30000+ 1 6.93286- 4 3.02312- 2 6.00000+ 0 1.40000+ 1 6.36145- 4 3.02459- 2 6.00000+ 0 1.60000+ 1 3.53337- 4 3.07470- 2 6.00000+ 0 1.80000+ 1 7.76533- 4 3.07969- 2 6.00000+ 0 1.90000+ 1 8.16047- 4 3.08111- 2 6.00000+ 0 2.10000+ 1 1.28562- 4 3.08933- 2 6.00000+ 0 2.20000+ 1 1.17626- 4 3.08957- 2 6.00000+ 0 2.70000+ 1 5.44625- 5 3.09479- 2 6.00000+ 0 2.90000+ 1 9.37424- 5 3.09606- 2 6.00000+ 0 3.00000+ 1 9.53094- 5 3.09625- 2 6.00000+ 0 4.10000+ 1 1.78580- 6 3.09752- 2 8.00000+ 0 8.00000+ 0 2.61379- 4 3.35922- 2 8.00000+ 0 1.00000+ 1 2.84810- 4 3.37291- 2 8.00000+ 0 1.10000+ 1 3.31467- 4 3.37979- 2 8.00000+ 0 1.30000+ 1 2.05354- 5 3.40409- 2 8.00000+ 0 1.40000+ 1 2.14281- 5 3.40556- 2 8.00000+ 0 1.60000+ 1 1.14060- 4 3.45567- 2 8.00000+ 0 1.80000+ 1 5.89270- 5 3.46066- 2 8.00000+ 0 1.90000+ 1 6.83032- 5 3.46208- 2 8.00000+ 0 2.10000+ 1 3.79457- 6 3.47030- 2 8.00000+ 0 2.20000+ 1 4.01771- 6 3.47054- 2 8.00000+ 0 2.70000+ 1 1.76327- 5 3.47576- 2 8.00000+ 0 2.90000+ 1 7.14275- 6 3.47703- 2 8.00000+ 0 3.00000+ 1 8.03561- 6 3.47722- 2 8.00000+ 0 4.10000+ 1 6.69627- 7 3.47849- 2 1.00000+ 1 1.00000+ 1 3.34803- 5 3.38660- 2 1.00000+ 1 1.10000+ 1 6.44147- 4 3.39348- 2 1.00000+ 1 1.30000+ 1 2.20974- 5 3.41778- 2 1.00000+ 1 1.40000+ 1 7.25403- 5 3.41925- 2 1.00000+ 1 1.60000+ 1 6.00414- 5 3.46936- 2 1.00000+ 1 1.80000+ 1 1.36151- 5 3.47435- 2 1.00000+ 1 1.90000+ 1 1.28557- 4 3.47577- 2 1.00000+ 1 2.10000+ 1 4.01752- 6 3.48399- 2 1.00000+ 1 2.20000+ 1 1.33917- 5 3.48423- 2 1.00000+ 1 2.70000+ 1 9.37391- 6 3.48945- 2 1.00000+ 1 2.90000+ 1 1.56230- 6 3.49072- 2 1.00000+ 1 3.00000+ 1 1.49537- 5 3.49091- 2 1.00000+ 1 4.10000+ 1 2.23208- 7 3.49218- 2 1.10000+ 1 1.10000+ 1 3.42386- 4 3.40036- 2 1.10000+ 1 1.30000+ 1 9.19617- 5 3.42466- 2 1.10000+ 1 1.40000+ 1 8.23640- 5 3.42613- 2 1.10000+ 1 1.60000+ 1 6.96393- 5 3.47625- 2 1.10000+ 1 1.80000+ 1 1.29021- 4 3.48123- 2 1.10000+ 1 1.90000+ 1 1.37047- 4 3.48266- 2 1.10000+ 1 2.10000+ 1 1.71864- 5 3.49087- 2 1.10000+ 1 2.20000+ 1 1.54010- 5 3.49111- 2 1.10000+ 1 2.70000+ 1 1.07138- 5 3.49633- 2 1.10000+ 1 2.90000+ 1 1.56234- 5 3.49760- 2 1.10000+ 1 3.00000+ 1 1.60713- 5 3.49779- 2 1.10000+ 1 4.10000+ 1 4.46407- 7 3.49906- 2 1.30000+ 1 1.40000+ 1 1.07622- 5 3.45043- 2 1.30000+ 1 1.60000+ 1 4.25999- 6 3.50054- 2 1.30000+ 1 1.80000+ 1 4.25999- 6 3.50553- 2 1.30000+ 1 1.90000+ 1 1.77119- 5 3.50695- 2 1.30000+ 1 2.20000+ 1 2.01798- 6 3.51541- 2 1.30000+ 1 2.70000+ 1 6.72634- 7 3.52063- 2 1.30000+ 1 2.90000+ 1 4.48422- 7 3.52190- 2 1.30000+ 1 3.00000+ 1 2.01798- 6 3.52209- 2 1.40000+ 1 1.40000+ 1 2.72082- 6 3.45190- 2 1.40000+ 1 1.60000+ 1 4.53461- 6 3.50202- 2 1.40000+ 1 1.80000+ 1 1.40586- 5 3.50700- 2 1.40000+ 1 1.90000+ 1 1.58702- 5 3.50843- 2 1.40000+ 1 2.10000+ 1 2.04065- 6 3.51664- 2 1.40000+ 1 2.20000+ 1 9.06902- 7 3.51688- 2 1.40000+ 1 2.70000+ 1 6.80192- 7 3.52210- 2 1.40000+ 1 2.90000+ 1 1.58702- 6 3.52337- 2 1.40000+ 1 3.00000+ 1 1.81399- 6 3.52356- 2 1.60000+ 1 1.60000+ 1 1.21701- 5 3.55213- 2 1.60000+ 1 1.80000+ 1 1.21701- 5 3.55712- 2 1.60000+ 1 1.90000+ 1 1.39095- 5 3.55854- 2 1.60000+ 1 2.10000+ 1 8.69280- 7 3.56675- 2 1.60000+ 1 2.20000+ 1 8.69280- 7 3.56699- 2 1.60000+ 1 2.70000+ 1 3.69454- 6 3.57222- 2 1.60000+ 1 2.90000+ 1 1.52119- 6 3.57349- 2 1.60000+ 1 3.00000+ 1 1.73874- 6 3.57367- 2 1.60000+ 1 4.10000+ 1 2.17334- 7 3.57494- 2 1.80000+ 1 1.80000+ 1 1.29261- 6 3.56211- 2 1.80000+ 1 1.90000+ 1 2.47748- 5 3.56353- 2 1.80000+ 1 2.10000+ 1 8.61731- 7 3.57174- 2 1.80000+ 1 2.20000+ 1 2.36983- 6 3.57198- 2 1.80000+ 1 2.70000+ 1 1.93901- 6 3.57721- 2 1.80000+ 1 2.90000+ 1 2.15446- 7 3.57848- 2 1.80000+ 1 3.00000+ 1 2.80067- 6 3.57866- 2 1.90000+ 1 1.90000+ 1 1.31390- 5 3.56495- 2 1.90000+ 1 2.10000+ 1 3.23093- 6 3.57316- 2 1.90000+ 1 2.20000+ 1 2.80009- 6 3.57340- 2 1.90000+ 1 2.70000+ 1 2.15402- 6 3.57863- 2 1.90000+ 1 2.90000+ 1 3.01551- 6 3.57990- 2 1.90000+ 1 3.00000+ 1 3.01551- 6 3.58008- 2 2.10000+ 1 2.20000+ 1 4.46397- 7 3.58161- 2 2.10000+ 1 2.70000+ 1 2.23208- 7 3.58684- 2 2.10000+ 1 3.00000+ 1 4.46397- 7 3.58830- 2 2.20000+ 1 2.70000+ 1 2.22678- 7 3.58708- 2 2.20000+ 1 2.90000+ 1 2.22678- 7 3.58835- 2 2.20000+ 1 3.00000+ 1 4.45336- 7 3.58853- 2 2.70000+ 1 2.70000+ 1 2.97594- 7 3.59231- 2 2.70000+ 1 2.90000+ 1 2.97594- 7 3.59358- 2 2.70000+ 1 3.00000+ 1 2.97594- 7 3.59376- 2 2.90000+ 1 3.00000+ 1 4.46411- 7 3.59503- 2 3.00000+ 1 3.00000+ 1 2.23210- 7 3.59521- 2 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.97728- 5 3.21700- 4 6.00000+ 0 4.06196- 4 6.78800- 4 1.00000+ 1 1.47019- 2 4.62540- 3 1.10000+ 1 2.29628- 2 4.69422- 3 1.30000+ 1 2.27678- 4 4.93720- 3 1.40000+ 1 3.40117- 4 4.95192- 3 1.80000+ 1 3.23707- 3 5.50293- 3 1.90000+ 1 5.20245- 3 5.51714- 3 2.10000+ 1 2.86717- 5 5.59929- 3 2.20000+ 1 4.36686- 5 5.60166- 3 2.90000+ 1 4.28926- 4 5.66663- 3 3.00000+ 1 6.74753- 4 5.66847- 3 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.60754- 2 8.98400- 5 5.00000+ 0 1.80000+ 1 4.06257- 2 1.39730- 4 5.00000+ 0 1.90000+ 1 5.11320- 2 1.53940- 4 5.00000+ 0 2.10000+ 1 1.32726- 2 2.36090- 4 5.00000+ 0 2.20000+ 1 2.17894- 2 2.38460- 4 5.00000+ 0 2.70000+ 1 8.38881- 3 2.90730- 4 5.00000+ 0 2.90000+ 1 4.63842- 3 3.03430- 4 5.00000+ 0 3.00000+ 1 5.64980- 3 3.05270- 4 5.00000+ 0 4.10000+ 1 2.75960- 4 3.18010- 4 6.00000+ 0 1.60000+ 1 7.26278- 2 4.46940- 4 6.00000+ 0 1.80000+ 1 3.16058- 2 4.96830- 4 6.00000+ 0 1.90000+ 1 5.90973- 2 5.11040- 4 6.00000+ 0 2.10000+ 1 6.34053- 2 5.93190- 4 6.00000+ 0 2.20000+ 1 8.13422- 2 5.95560- 4 6.00000+ 0 2.70000+ 1 1.08776- 2 6.47830- 4 6.00000+ 0 2.90000+ 1 3.69187- 3 6.60530- 4 6.00000+ 0 3.00000+ 1 6.75107- 3 6.62370- 4 6.00000+ 0 4.10000+ 1 3.57724- 4 6.75110- 4 8.00000+ 0 8.00000+ 0 1.32248- 2 3.29210- 3 8.00000+ 0 1.00000+ 1 2.62760- 2 3.42900- 3 8.00000+ 0 1.10000+ 1 4.83450- 2 3.49782- 3 8.00000+ 0 1.30000+ 1 3.80041- 2 3.74080- 3 8.00000+ 0 1.40000+ 1 5.35467- 2 3.75552- 3 8.00000+ 0 1.60000+ 1 4.93910- 3 4.25664- 3 8.00000+ 0 1.80000+ 1 5.31963- 3 4.30653- 3 8.00000+ 0 1.90000+ 1 9.71567- 3 4.32074- 3 8.00000+ 0 2.10000+ 1 6.09394- 3 4.40289- 3 8.00000+ 0 2.20000+ 1 8.54166- 3 4.40526- 3 8.00000+ 0 2.70000+ 1 7.49282- 4 4.45753- 3 8.00000+ 0 2.90000+ 1 6.43122- 4 4.47023- 3 8.00000+ 0 3.00000+ 1 1.13448- 3 4.47207- 3 8.00000+ 0 4.10000+ 1 2.43728- 5 4.48481- 3 1.00000+ 1 1.00000+ 1 1.48598- 4 3.56590- 3 1.00000+ 1 1.10000+ 1 9.49751- 4 3.63472- 3 1.00000+ 1 1.30000+ 1 1.09751- 3 3.87770- 3 1.00000+ 1 1.40000+ 1 1.41019- 2 3.89242- 3 1.00000+ 1 1.60000+ 1 3.93958- 3 4.39354- 3 1.00000+ 1 1.80000+ 1 3.06620- 5 4.44343- 3 1.00000+ 1 1.90000+ 1 1.80045- 4 4.45764- 3 1.00000+ 1 2.10000+ 1 1.76893- 4 4.53979- 3 1.00000+ 1 2.20000+ 1 1.50957- 3 4.54216- 3 1.00000+ 1 2.70000+ 1 5.70791- 4 4.59443- 3 1.00000+ 1 2.90000+ 1 3.14479- 6 4.60713- 3 1.00000+ 1 3.00000+ 1 2.04416- 5 4.60897- 3 1.00000+ 1 4.10000+ 1 1.88687- 5 4.62171- 3 1.10000+ 1 1.10000+ 1 1.13372- 3 3.70354- 3 1.10000+ 1 1.30000+ 1 9.52214- 3 3.94652- 3 1.10000+ 1 1.40000+ 1 6.44449- 3 3.96124- 3 1.10000+ 1 1.60000+ 1 7.24627- 3 4.46236- 3 1.10000+ 1 1.80000+ 1 1.80040- 4 4.51225- 3 1.10000+ 1 1.90000+ 1 3.46711- 4 4.52646- 3 1.10000+ 1 2.10000+ 1 8.77385- 4 4.60861- 3 1.10000+ 1 2.20000+ 1 6.14025- 4 4.61098- 3 1.10000+ 1 2.70000+ 1 1.04961- 3 4.66325- 3 1.10000+ 1 2.90000+ 1 2.12270- 5 4.67595- 3 1.10000+ 1 3.00000+ 1 3.85224- 5 4.67779- 3 1.10000+ 1 4.10000+ 1 3.45928- 5 4.69053- 3 1.30000+ 1 1.30000+ 1 2.08812- 3 4.18950- 3 1.30000+ 1 1.40000+ 1 7.59775- 2 4.20422- 3 1.30000+ 1 1.60000+ 1 5.38305- 3 4.70534- 3 1.30000+ 1 1.80000+ 1 2.89333- 4 4.75523- 3 1.30000+ 1 1.90000+ 1 1.94509- 3 4.76944- 3 1.30000+ 1 2.10000+ 1 6.64348- 4 4.85159- 3 1.30000+ 1 2.20000+ 1 8.95723- 3 4.85396- 3 1.30000+ 1 2.70000+ 1 7.72834- 4 4.90623- 3 1.30000+ 1 2.90000+ 1 3.61664- 5 4.91893- 3 1.30000+ 1 3.00000+ 1 2.27220- 4 4.92077- 3 1.30000+ 1 4.10000+ 1 2.51582- 5 4.93351- 3 1.40000+ 1 1.40000+ 1 2.13410- 2 4.21894- 3 1.40000+ 1 1.60000+ 1 7.63019- 3 4.72006- 3 1.40000+ 1 1.80000+ 1 2.60546- 3 4.76995- 3 1.40000+ 1 1.90000+ 1 1.38138- 3 4.78416- 3 1.40000+ 1 2.10000+ 1 8.86360- 3 4.86631- 3 1.40000+ 1 2.20000+ 1 5.25891- 3 4.86868- 3 1.40000+ 1 2.70000+ 1 1.09751- 3 4.92095- 3 1.40000+ 1 2.90000+ 1 3.10544- 4 4.93365- 3 1.40000+ 1 3.00000+ 1 1.62739- 4 4.93549- 3 1.40000+ 1 4.10000+ 1 3.61665- 5 4.94823- 3 1.60000+ 1 1.60000+ 1 4.37907- 4 5.22118- 3 1.60000+ 1 1.80000+ 1 7.98774- 4 5.27107- 3 1.60000+ 1 1.90000+ 1 1.45765- 3 5.28528- 3 1.60000+ 1 2.10000+ 1 8.61668- 4 5.36743- 3 1.60000+ 1 2.20000+ 1 1.21233- 3 5.36980- 3 1.60000+ 1 2.70000+ 1 1.31301- 4 5.42207- 3 1.60000+ 1 2.90000+ 1 9.66972- 5 5.43477- 3 1.60000+ 1 3.00000+ 1 1.70607- 4 5.43661- 3 1.60000+ 1 4.10000+ 1 4.71702- 6 5.44935- 3 1.80000+ 1 1.80000+ 1 1.57238- 6 5.32096- 3 1.80000+ 1 1.90000+ 1 3.45934- 5 5.33517- 3 1.80000+ 1 2.10000+ 1 3.93090- 5 5.41732- 3 1.80000+ 1 2.20000+ 1 2.87756- 4 5.41969- 3 1.80000+ 1 2.70000+ 1 1.15573- 4 5.47196- 3 1.80000+ 1 3.00000+ 1 3.93090- 6 5.48650- 3 1.80000+ 1 4.10000+ 1 3.93090- 6 5.49924- 3 1.90000+ 1 1.90000+ 1 2.70932- 5 5.34938- 3 1.90000+ 1 2.10000+ 1 1.92840- 4 5.43153- 3 1.90000+ 1 2.20000+ 1 1.40243- 4 5.43390- 3 1.90000+ 1 2.70000+ 1 2.14357- 4 5.48617- 3 1.90000+ 1 2.90000+ 1 3.98418- 6 5.49887- 3 1.90000+ 1 3.00000+ 1 6.37507- 6 5.50071- 3 1.90000+ 1 4.10000+ 1 7.17186- 6 5.51345- 3 2.10000+ 1 2.10000+ 1 5.20161- 5 5.51368- 3 2.10000+ 1 2.20000+ 1 1.15166- 3 5.51605- 3 2.10000+ 1 2.70000+ 1 1.27597- 4 5.56832- 3 2.10000+ 1 2.90000+ 1 4.87621- 6 5.58102- 3 2.10000+ 1 3.00000+ 1 2.35696- 5 5.58286- 3 2.10000+ 1 4.10000+ 1 4.06355- 6 5.59560- 3 2.20000+ 1 2.20000+ 1 3.54855- 4 5.51842- 3 2.20000+ 1 2.70000+ 1 1.80705- 4 5.57069- 3 2.20000+ 1 2.90000+ 1 3.59783- 5 5.58339- 3 2.20000+ 1 3.00000+ 1 1.71718- 5 5.58523- 3 2.20000+ 1 4.10000+ 1 5.72359- 6 5.59797- 3 2.70000+ 1 2.70000+ 1 8.77218- 6 5.62296- 3 2.70000+ 1 2.90000+ 1 1.21448- 5 5.63566- 3 2.70000+ 1 3.00000+ 1 2.09169- 5 5.63750- 3 2.70000+ 1 4.10000+ 1 6.74749- 7 5.65024- 3 2.90000+ 1 3.00000+ 1 7.86192- 7 5.65020- 3 2.90000+ 1 4.10000+ 1 7.86192- 7 5.66294- 3 3.00000+ 1 4.10000+ 1 7.86212- 7 5.66478- 3 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 8.71309- 8 3.57100- 4 8.00000+ 0 4.13494- 3 4.16680- 3 1.10000+ 1 6.16116- 5 4.37252- 3 1.30000+ 1 7.98698- 2 4.61550- 3 1.60000+ 1 6.10766- 4 5.13134- 3 1.90000+ 1 8.19408- 6 5.19544- 3 2.10000+ 1 1.24211- 2 5.27759- 3 2.70000+ 1 7.78028- 5 5.33223- 3 3.00000+ 1 1.06341- 6 5.34677- 3 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.14012- 2 1.25240- 4 6.00000+ 0 1.80000+ 1 5.14175- 2 1.75130- 4 6.00000+ 0 1.90000+ 1 1.76201- 2 1.89340- 4 6.00000+ 0 2.10000+ 1 6.46739- 2 2.71490- 4 6.00000+ 0 2.20000+ 1 2.39677- 2 2.73860- 4 6.00000+ 0 2.70000+ 1 1.59369- 3 3.26130- 4 6.00000+ 0 2.90000+ 1 5.92872- 3 3.38830- 4 6.00000+ 0 3.00000+ 1 2.04704- 3 3.40670- 4 6.00000+ 0 4.10000+ 1 5.19185- 5 3.53410- 4 8.00000+ 0 8.00000+ 0 1.03279- 3 2.97040- 3 8.00000+ 0 1.00000+ 1 2.51232- 2 3.10730- 3 8.00000+ 0 1.10000+ 1 2.41421- 3 3.17612- 3 8.00000+ 0 1.30000+ 1 1.95522- 3 3.41910- 3 8.00000+ 0 1.40000+ 1 3.36540- 3 3.43382- 3 8.00000+ 0 1.60000+ 1 3.58807- 4 3.93494- 3 8.00000+ 0 1.80000+ 1 3.50465- 3 3.98483- 3 8.00000+ 0 1.90000+ 1 4.31107- 4 3.99904- 3 8.00000+ 0 2.10000+ 1 2.26219- 4 4.08119- 3 8.00000+ 0 2.20000+ 1 3.38402- 4 4.08356- 3 8.00000+ 0 2.70000+ 1 5.37716- 5 4.13583- 3 8.00000+ 0 2.90000+ 1 3.98669- 4 4.14853- 3 8.00000+ 0 3.00000+ 1 4.91384- 5 4.15037- 3 8.00000+ 0 4.10000+ 1 1.85421- 6 4.16311- 3 1.00000+ 1 1.00000+ 1 2.47244- 2 3.24420- 3 1.00000+ 1 1.10000+ 1 7.68474- 2 3.31302- 3 1.00000+ 1 1.30000+ 1 4.07942- 2 3.55600- 3 1.00000+ 1 1.40000+ 1 6.95158- 2 3.57072- 3 1.00000+ 1 1.60000+ 1 5.60237- 3 4.07184- 3 1.00000+ 1 1.80000+ 1 8.58602- 3 4.12173- 3 1.00000+ 1 1.90000+ 1 1.51693- 2 4.13594- 3 1.00000+ 1 2.10000+ 1 6.52941- 3 4.21809- 3 1.00000+ 1 2.20000+ 1 1.11095- 2 4.22046- 3 1.00000+ 1 2.70000+ 1 8.72396- 4 4.27273- 3 1.00000+ 1 2.90000+ 1 1.01608- 3 4.28543- 3 1.00000+ 1 3.00000+ 1 1.76705- 3 4.28727- 3 1.00000+ 1 4.10000+ 1 2.87407- 5 4.30001- 3 1.10000+ 1 1.10000+ 1 2.00798- 3 3.38184- 3 1.10000+ 1 1.30000+ 1 4.78292- 2 3.62482- 3 1.10000+ 1 1.40000+ 1 6.49972- 3 3.63954- 3 1.10000+ 1 1.60000+ 1 4.61691- 4 4.14066- 3 1.10000+ 1 1.80000+ 1 1.11064- 2 4.19055- 3 1.10000+ 1 1.90000+ 1 6.71233- 4 4.20476- 3 1.10000+ 1 2.10000+ 1 6.59711- 3 4.28691- 3 1.10000+ 1 2.20000+ 1 8.39030- 4 4.28928- 3 1.10000+ 1 2.70000+ 1 7.04585- 5 4.34155- 3 1.10000+ 1 2.90000+ 1 1.27010- 3 4.35425- 3 1.10000+ 1 3.00000+ 1 7.60222- 5 4.35609- 3 1.10000+ 1 4.10000+ 1 1.85416- 6 4.36883- 3 1.30000+ 1 1.30000+ 1 4.35664- 2 3.86780- 3 1.30000+ 1 1.40000+ 1 1.86542- 1 3.88252- 3 1.30000+ 1 1.60000+ 1 4.45927- 4 4.38364- 3 1.30000+ 1 1.80000+ 1 5.87214- 3 4.43353- 3 1.30000+ 1 1.90000+ 1 8.90575- 3 4.44774- 3 1.30000+ 1 2.10000+ 1 1.19817- 2 4.52989- 3 1.30000+ 1 2.20000+ 1 2.74043- 2 4.53226- 3 1.30000+ 1 2.70000+ 1 6.95321- 5 4.58453- 3 1.30000+ 1 2.90000+ 1 6.74917- 4 4.59723- 3 1.30000+ 1 3.00000+ 1 1.02814- 3 4.59907- 3 1.30000+ 1 4.10000+ 1 1.85416- 6 4.61181- 3 1.40000+ 1 1.40000+ 1 8.90104- 3 3.89724- 3 1.40000+ 1 1.60000+ 1 6.34129- 4 4.39836- 3 1.40000+ 1 1.80000+ 1 8.94188- 3 4.44825- 3 1.40000+ 1 1.90000+ 1 1.10883- 3 4.46246- 3 1.40000+ 1 2.10000+ 1 2.18457- 2 4.54461- 3 1.40000+ 1 2.20000+ 1 2.38538- 3 4.54698- 3 1.40000+ 1 2.70000+ 1 9.54951- 5 4.59925- 3 1.40000+ 1 2.90000+ 1 1.00217- 3 4.61195- 3 1.40000+ 1 3.00000+ 1 1.26085- 4 4.61379- 3 1.40000+ 1 4.10000+ 1 2.78128- 6 4.62653- 3 1.60000+ 1 1.60000+ 1 3.17120- 5 4.89948- 3 1.60000+ 1 1.80000+ 1 8.13937- 4 4.94937- 3 1.60000+ 1 1.90000+ 1 8.55287- 5 4.96358- 3 1.60000+ 1 2.10000+ 1 5.18937- 5 5.04573- 3 1.60000+ 1 2.20000+ 1 6.72668- 5 5.04810- 3 1.60000+ 1 2.70000+ 1 9.61014- 6 5.10037- 3 1.60000+ 1 2.90000+ 1 9.22532- 5 5.11307- 3 1.60000+ 1 3.00000+ 1 9.61014- 6 5.11491- 3 1.80000+ 1 1.80000+ 1 6.76917- 4 4.99926- 3 1.80000+ 1 1.90000+ 1 2.07914- 3 5.01347- 3 1.80000+ 1 2.10000+ 1 8.78208- 4 5.09562- 3 1.80000+ 1 2.20000+ 1 1.36437- 3 5.09799- 3 1.80000+ 1 2.70000+ 1 1.16039- 4 5.15026- 3 1.80000+ 1 2.90000+ 1 1.59115- 4 5.16296- 3 1.80000+ 1 3.00000+ 1 2.41753- 4 5.16480- 3 1.80000+ 1 4.10000+ 1 3.51629- 6 5.17754- 3 1.90000+ 1 1.90000+ 1 5.62834- 5 5.02768- 3 1.90000+ 1 2.10000+ 1 1.23358- 3 5.10983- 3 1.90000+ 1 2.20000+ 1 1.46700- 4 5.11220- 3 1.90000+ 1 2.70000+ 1 1.29176- 5 5.16447- 3 1.90000+ 1 2.90000+ 1 2.49121- 4 5.17717- 3 1.90000+ 1 3.00000+ 1 1.29176- 5 5.17901- 3 2.10000+ 1 2.10000+ 1 8.38872- 4 5.19198- 3 2.10000+ 1 2.20000+ 1 3.40041- 3 5.19435- 3 2.10000+ 1 2.70000+ 1 7.62647- 6 5.24662- 3 2.10000+ 1 2.90000+ 1 1.09629- 4 5.25932- 3 2.10000+ 1 3.00000+ 1 1.46811- 4 5.26116- 3 2.20000+ 1 2.20000+ 1 1.69903- 4 5.19672- 3 2.20000+ 1 2.70000+ 1 1.07405- 5 5.24899- 3 2.20000+ 1 2.90000+ 1 1.69903- 4 5.26169- 3 2.20000+ 1 3.00000+ 1 1.75763- 5 5.26353- 3 2.70000+ 1 2.70000+ 1 9.45652- 7 5.30126- 3 2.70000+ 1 2.90000+ 1 1.41843- 5 5.31396- 3 2.70000+ 1 3.00000+ 1 1.89121- 6 5.31580- 3 2.90000+ 1 2.90000+ 1 1.24405- 5 5.32666- 3 2.90000+ 1 3.00000+ 1 3.61910- 5 5.32850- 3 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 7.49529- 3 3.80970- 3 1.00000+ 1 4.21800- 5 3.94660- 3 1.10000+ 1 3.92130- 5 4.01542- 3 1.30000+ 1 7.89869- 3 4.25840- 3 1.40000+ 1 6.99779- 2 4.27312- 3 1.60000+ 1 6.90749- 4 4.77424- 3 1.80000+ 1 3.99380- 6 4.82413- 3 1.90000+ 1 3.83990- 6 4.83834- 3 2.10000+ 1 1.19450- 3 4.92049- 3 2.20000+ 1 1.06640- 2 4.92286- 3 2.70000+ 1 1.02540- 4 4.97513- 3 2.90000+ 1 5.26310- 7 4.98783- 3 3.00000+ 1 4.95950- 7 4.98967- 3 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.35482- 3 2.61330- 3 8.00000+ 0 1.00000+ 1 9.36134- 4 2.75020- 3 8.00000+ 0 1.10000+ 1 2.91282- 2 2.81902- 3 8.00000+ 0 1.30000+ 1 2.84977- 3 3.06200- 3 8.00000+ 0 1.40000+ 1 3.24929- 3 3.07672- 3 8.00000+ 0 1.60000+ 1 4.72106- 4 3.57784- 3 8.00000+ 0 1.80000+ 1 1.57030- 4 3.62773- 3 8.00000+ 0 1.90000+ 1 4.06173- 3 3.64194- 3 8.00000+ 0 2.10000+ 1 2.48631- 4 3.72409- 3 8.00000+ 0 2.20000+ 1 2.61716- 4 3.72646- 3 8.00000+ 0 2.70000+ 1 7.04600- 5 3.77873- 3 8.00000+ 0 2.90000+ 1 1.81187- 5 3.79143- 3 8.00000+ 0 3.00000+ 1 4.46952- 4 3.79327- 3 8.00000+ 0 4.10000+ 1 2.01325- 6 3.80601- 3 1.00000+ 1 1.00000+ 1 3.02982- 4 2.88710- 3 1.00000+ 1 1.10000+ 1 4.84422- 2 2.95592- 3 1.00000+ 1 1.30000+ 1 3.09831- 3 3.19890- 3 1.00000+ 1 1.40000+ 1 2.78825- 2 3.21362- 3 1.00000+ 1 1.60000+ 1 1.75144- 4 3.71474- 3 1.00000+ 1 1.80000+ 1 1.02672- 4 3.76463- 3 1.00000+ 1 1.90000+ 1 6.99098- 3 3.77884- 3 1.00000+ 1 2.10000+ 1 4.63035- 4 3.86099- 3 1.00000+ 1 2.20000+ 1 3.62276- 3 3.86336- 3 1.00000+ 1 2.70000+ 1 2.61719- 5 3.91563- 3 1.00000+ 1 2.90000+ 1 1.20785- 5 3.92833- 3 1.00000+ 1 3.00000+ 1 7.74087- 4 3.93017- 3 1.00000+ 1 4.10000+ 1 1.00661- 6 3.94291- 3 1.10000+ 1 1.10000+ 1 6.77375- 2 3.02474- 3 1.10000+ 1 1.30000+ 1 6.81525- 2 3.26772- 3 1.10000+ 1 1.40000+ 1 1.01957- 1 3.28244- 3 1.10000+ 1 1.60000+ 1 6.42821- 3 3.78356- 3 1.10000+ 1 1.80000+ 1 9.41018- 3 3.83345- 3 1.10000+ 1 1.90000+ 1 2.31033- 2 3.84766- 3 1.10000+ 1 2.10000+ 1 1.05110- 2 3.92981- 3 1.10000+ 1 2.20000+ 1 1.55409- 2 3.93218- 3 1.10000+ 1 2.70000+ 1 9.99578- 4 3.98445- 3 1.10000+ 1 2.90000+ 1 1.13038- 3 3.99715- 3 1.10000+ 1 3.00000+ 1 2.63632- 3 3.99899- 3 1.10000+ 1 4.10000+ 1 3.32185- 5 4.01173- 3 1.30000+ 1 1.30000+ 1 9.75679- 3 3.51070- 3 1.30000+ 1 1.40000+ 1 1.87316- 1 3.52542- 3 1.30000+ 1 1.60000+ 1 5.89864- 4 4.02654- 3 1.30000+ 1 1.80000+ 1 5.99957- 4 4.07643- 3 1.30000+ 1 1.90000+ 1 9.17934- 3 4.09064- 3 1.30000+ 1 2.10000+ 1 2.68270- 3 4.17279- 3 1.30000+ 1 2.20000+ 1 2.22132- 2 4.17516- 3 1.30000+ 1 2.70000+ 1 9.05935- 5 4.22743- 3 1.30000+ 1 2.90000+ 1 7.24776- 5 4.24013- 3 1.30000+ 1 3.00000+ 1 1.00564- 3 4.24197- 3 1.30000+ 1 4.10000+ 1 3.01988- 6 4.25471- 3 1.40000+ 1 1.40000+ 1 1.26924- 1 3.54014- 3 1.40000+ 1 1.60000+ 1 7.13693- 4 4.04126- 3 1.40000+ 1 1.80000+ 1 5.04412- 3 4.09115- 3 1.40000+ 1 1.90000+ 1 1.53188- 2 4.10536- 3 1.40000+ 1 2.10000+ 1 2.60245- 2 4.18751- 3 1.40000+ 1 2.20000+ 1 3.34672- 2 4.18988- 3 1.40000+ 1 2.70000+ 1 1.10734- 4 4.24215- 3 1.40000+ 1 2.90000+ 1 5.98927- 4 4.25485- 3 1.40000+ 1 3.00000+ 1 1.71432- 3 4.25669- 3 1.40000+ 1 4.10000+ 1 4.02642- 6 4.26943- 3 1.60000+ 1 1.60000+ 1 4.30451- 5 4.54238- 3 1.60000+ 1 1.80000+ 1 3.14976- 5 4.59227- 3 1.60000+ 1 1.90000+ 1 9.36523- 4 4.60648- 3 1.60000+ 1 2.10000+ 1 5.77458- 5 4.68863- 3 1.60000+ 1 2.20000+ 1 6.40459- 5 4.69100- 3 1.60000+ 1 2.70000+ 1 1.25981- 5 4.74327- 3 1.60000+ 1 2.90000+ 1 3.14976- 6 4.75597- 3 1.60000+ 1 3.00000+ 1 1.02893- 4 4.75781- 3 1.80000+ 1 1.80000+ 1 7.61805- 6 4.64216- 3 1.80000+ 1 1.90000+ 1 1.28269- 3 4.65637- 3 1.80000+ 1 2.10000+ 1 8.28426- 5 4.73852- 3 1.80000+ 1 2.20000+ 1 6.37995- 4 4.74089- 3 1.80000+ 1 2.70000+ 1 4.76103- 6 4.79316- 3 1.80000+ 1 2.90000+ 1 1.90452- 6 4.80586- 3 1.80000+ 1 3.00000+ 1 1.41888- 4 4.80770- 3 1.90000+ 1 1.90000+ 1 1.74867- 3 4.67058- 3 1.90000+ 1 2.10000+ 1 1.30091- 3 4.75273- 3 1.90000+ 1 2.20000+ 1 2.11707- 3 4.75510- 3 1.90000+ 1 2.70000+ 1 1.28334- 4 4.80737- 3 1.90000+ 1 2.90000+ 1 1.49568- 4 4.82007- 3 1.90000+ 1 3.00000+ 1 3.97033- 4 4.82191- 3 1.90000+ 1 4.10000+ 1 4.61630- 6 4.83465- 3 2.10000+ 1 2.10000+ 1 1.84136- 4 4.83488- 3 2.10000+ 1 2.20000+ 1 3.24353- 3 4.83725- 3 2.10000+ 1 2.70000+ 1 8.22979- 6 4.88952- 3 2.10000+ 1 2.90000+ 1 1.02871- 5 4.90222- 3 2.10000+ 1 3.00000+ 1 1.58419- 4 4.90406- 3 2.20000+ 1 2.20000+ 1 2.35957- 3 4.83962- 3 2.20000+ 1 2.70000+ 1 1.07205- 5 4.89189- 3 2.20000+ 1 2.90000+ 1 8.57656- 5 4.90459- 3 2.20000+ 1 3.00000+ 1 2.74442- 4 4.90643- 3 2.70000+ 1 2.70000+ 1 1.37992- 6 4.94416- 3 2.70000+ 1 2.90000+ 1 1.37992- 6 4.95686- 3 2.70000+ 1 3.00000+ 1 2.06981- 5 4.95870- 3 2.90000+ 1 3.00000+ 1 2.05700- 5 4.97140- 3 3.00000+ 1 3.00000+ 1 2.81088- 5 4.97324- 3 3.00000+ 1 4.10000+ 1 1.17118- 6 4.98598- 3 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.23737- 5 1.36900- 4 1.10000+ 1 8.75325- 5 2.05720- 4 1.80000+ 1 2.43176- 4 1.01443- 3 1.90000+ 1 3.26311- 4 1.02864- 3 2.90000+ 1 3.53939- 5 1.17813- 3 3.00000+ 1 4.77344- 5 1.17997- 3 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 9.00842- 2 5.12900- 5 1.00000+ 1 2.20000+ 1 1.23569- 1 5.36600- 5 1.00000+ 1 2.70000+ 1 9.68314- 3 1.05930- 4 1.00000+ 1 2.90000+ 1 7.52615- 3 1.18630- 4 1.00000+ 1 3.00000+ 1 1.26409- 2 1.20470- 4 1.00000+ 1 4.10000+ 1 3.14485- 4 1.33210- 4 1.10000+ 1 1.80000+ 1 9.43332- 2 2.37500- 5 1.10000+ 1 1.90000+ 1 1.42492- 1 3.79600- 5 1.10000+ 1 2.10000+ 1 6.57840- 2 1.20110- 4 1.10000+ 1 2.20000+ 1 9.57370- 2 1.22480- 4 1.10000+ 1 2.70000+ 1 1.30920- 2 1.74750- 4 1.10000+ 1 2.90000+ 1 1.05428- 2 1.87450- 4 1.10000+ 1 3.00000+ 1 1.60076- 2 1.89290- 4 1.10000+ 1 4.10000+ 1 4.31863- 4 2.02030- 4 1.30000+ 1 1.60000+ 1 3.51244- 2 2.16840- 4 1.30000+ 1 1.80000+ 1 7.49716- 3 2.66730- 4 1.30000+ 1 1.90000+ 1 5.93632- 3 2.80940- 4 1.30000+ 1 2.10000+ 1 9.76973- 3 3.63090- 4 1.30000+ 1 2.20000+ 1 1.20543- 2 3.65460- 4 1.30000+ 1 2.70000+ 1 3.77048- 3 4.17730- 4 1.30000+ 1 2.90000+ 1 7.23910- 4 4.30430- 4 1.30000+ 1 3.00000+ 1 5.43809- 4 4.32270- 4 1.30000+ 1 4.10000+ 1 1.19128- 4 4.45010- 4 1.40000+ 1 1.60000+ 1 5.13004- 2 2.31560- 4 1.40000+ 1 1.80000+ 1 1.83350- 3 2.81450- 4 1.40000+ 1 1.90000+ 1 1.46601- 2 2.95660- 4 1.40000+ 1 2.10000+ 1 1.27214- 2 3.77810- 4 1.40000+ 1 2.20000+ 1 1.98911- 2 3.80180- 4 1.40000+ 1 2.70000+ 1 5.47285- 3 4.32450- 4 1.40000+ 1 2.90000+ 1 1.65729- 4 4.45150- 4 1.40000+ 1 3.00000+ 1 1.35220- 3 4.46990- 4 1.40000+ 1 4.10000+ 1 1.73134- 4 4.59730- 4 1.60000+ 1 1.60000+ 1 8.01413- 3 7.32680- 4 1.60000+ 1 1.80000+ 1 1.30144- 2 7.82570- 4 1.60000+ 1 1.90000+ 1 2.39294- 2 7.96780- 4 1.60000+ 1 2.10000+ 1 2.39905- 2 8.78930- 4 1.60000+ 1 2.20000+ 1 3.49588- 2 8.81300- 4 1.60000+ 1 2.70000+ 1 2.06840- 3 9.33570- 4 1.60000+ 1 2.90000+ 1 1.55650- 3 9.46270- 4 1.60000+ 1 3.00000+ 1 2.77072- 3 9.48110- 4 1.60000+ 1 4.10000+ 1 6.73729- 5 9.60850- 4 1.80000+ 1 1.80000+ 1 7.00744- 4 8.32460- 4 1.80000+ 1 1.90000+ 1 1.71700- 3 8.46670- 4 1.80000+ 1 2.10000+ 1 1.02749- 3 9.28820- 4 1.80000+ 1 2.20000+ 1 3.95692- 4 9.31190- 4 1.80000+ 1 2.70000+ 1 1.30028- 3 9.83460- 4 1.80000+ 1 2.90000+ 1 1.37899- 4 9.96160- 4 1.80000+ 1 3.00000+ 1 1.58881- 4 9.98000- 4 1.80000+ 1 4.10000+ 1 4.12204- 5 1.01074- 3 1.90000+ 1 1.90000+ 1 2.21331- 3 8.60880- 4 1.90000+ 1 2.10000+ 1 1.00674- 3 9.43030- 4 1.90000+ 1 2.20000+ 1 2.77531- 3 9.45400- 4 1.90000+ 1 2.70000+ 1 2.30242- 3 9.97670- 4 1.90000+ 1 2.90000+ 1 1.66715- 4 1.01037- 3 1.90000+ 1 3.00000+ 1 4.34018- 4 1.01221- 3 1.90000+ 1 4.10000+ 1 7.25781- 5 1.02495- 3 2.10000+ 1 2.10000+ 1 2.99605- 4 1.02518- 3 2.10000+ 1 2.20000+ 1 1.11764- 3 1.02755- 3 2.10000+ 1 2.70000+ 1 2.38396- 3 1.07982- 3 2.10000+ 1 2.90000+ 1 9.35767- 5 1.09252- 3 2.10000+ 1 3.00000+ 1 9.58449- 5 1.09436- 3 2.10000+ 1 4.10000+ 1 7.47101- 5 1.10710- 3 2.20000+ 1 2.20000+ 1 7.19807- 4 1.02992- 3 2.20000+ 1 2.70000+ 1 3.45630- 3 1.08219- 3 2.20000+ 1 2.90000+ 1 3.45630- 5 1.09489- 3 2.20000+ 1 3.00000+ 1 2.67477- 4 1.09673- 3 2.20000+ 1 4.10000+ 1 1.08945- 4 1.10947- 3 2.70000+ 1 2.70000+ 1 8.64993- 5 1.13446- 3 2.70000+ 1 2.90000+ 1 1.11062- 4 1.14716- 3 2.70000+ 1 3.00000+ 1 1.97563- 4 1.14900- 3 2.70000+ 1 4.10000+ 1 5.33956- 6 1.16174- 3 2.90000+ 1 2.90000+ 1 2.59813- 6 1.15986- 3 2.90000+ 1 3.00000+ 1 6.06225- 6 1.16170- 3 2.90000+ 1 4.10000+ 1 2.02066- 6 1.17444- 3 3.00000+ 1 3.00000+ 1 1.06753- 5 1.16354- 3 3.00000+ 1 4.10000+ 1 4.41736- 6 1.17628- 3 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.33604- 4 3.11800- 4 1.60000+ 1 3.12234- 4 8.27640- 4 2.10000+ 1 1.24439- 3 9.73890- 4 2.70000+ 1 4.94729- 5 1.02853- 3 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.70000+ 1 8.99611- 3 3.78500- 5 1.10000+ 1 2.90000+ 1 8.17555- 3 5.05500- 5 1.10000+ 1 3.00000+ 1 9.76549- 3 5.23900- 5 1.10000+ 1 4.10000+ 1 2.76087- 4 6.51300- 5 1.30000+ 1 1.60000+ 1 1.29771- 1 7.99400- 5 1.30000+ 1 1.80000+ 1 1.32517- 1 1.29830- 4 1.30000+ 1 1.90000+ 1 1.93126- 1 1.44040- 4 1.30000+ 1 2.10000+ 1 5.58814- 2 2.26190- 4 1.30000+ 1 2.20000+ 1 6.07310- 2 2.28560- 4 1.30000+ 1 2.70000+ 1 2.04267- 2 2.80830- 4 1.30000+ 1 2.90000+ 1 1.39158- 2 2.93530- 4 1.30000+ 1 3.00000+ 1 2.14496- 2 2.95370- 4 1.30000+ 1 4.10000+ 1 6.64005- 4 3.08110- 4 1.40000+ 1 1.60000+ 1 2.22992- 2 9.46600- 5 1.40000+ 1 1.80000+ 1 1.59686- 1 1.44550- 4 1.40000+ 1 1.90000+ 1 1.66119- 2 1.58760- 4 1.40000+ 1 2.10000+ 1 3.32833- 3 2.40910- 4 1.40000+ 1 2.20000+ 1 7.37297- 3 2.43280- 4 1.40000+ 1 2.70000+ 1 2.34182- 3 2.95550- 4 1.40000+ 1 2.90000+ 1 1.39188- 2 3.08250- 4 1.40000+ 1 3.00000+ 1 1.68487- 3 3.10090- 4 1.40000+ 1 4.10000+ 1 7.42054- 5 3.22830- 4 1.60000+ 1 1.60000+ 1 6.99283- 4 5.95780- 4 1.60000+ 1 1.80000+ 1 9.90058- 3 6.45670- 4 1.60000+ 1 1.90000+ 1 1.61691- 3 6.59880- 4 1.60000+ 1 2.10000+ 1 3.52853- 4 7.42030- 4 1.60000+ 1 2.20000+ 1 1.05972- 3 7.44400- 4 1.60000+ 1 2.70000+ 1 1.71772- 4 7.96670- 4 1.60000+ 1 2.90000+ 1 8.22730- 4 8.09370- 4 1.60000+ 1 3.00000+ 1 1.68852- 4 8.11210- 4 1.60000+ 1 4.10000+ 1 5.24033- 6 8.23950- 4 1.80000+ 1 1.80000+ 1 7.18883- 3 6.95560- 4 1.80000+ 1 1.90000+ 1 2.24110- 2 7.09770- 4 1.80000+ 1 2.10000+ 1 1.95821- 2 7.91920- 4 1.80000+ 1 2.20000+ 1 3.25733- 2 7.94290- 4 1.80000+ 1 2.70000+ 1 1.55124- 3 8.46560- 4 1.80000+ 1 2.90000+ 1 1.47642- 3 8.59260- 4 1.80000+ 1 3.00000+ 1 2.58196- 3 8.61100- 4 1.80000+ 1 4.10000+ 1 5.11155- 5 8.73840- 4 1.90000+ 1 1.90000+ 1 6.45715- 4 7.23980- 4 1.90000+ 1 2.10000+ 1 2.01902- 3 8.06130- 4 1.90000+ 1 2.20000+ 1 1.48367- 3 8.08500- 4 1.90000+ 1 2.70000+ 1 1.85851- 4 8.60770- 4 1.90000+ 1 2.90000+ 1 2.03424- 3 8.73470- 4 1.90000+ 1 3.00000+ 1 1.25600- 4 8.75310- 4 1.90000+ 1 4.10000+ 1 5.70887- 6 8.88050- 4 2.10000+ 1 2.10000+ 1 6.44417- 4 8.88280- 4 2.10000+ 1 2.20000+ 1 1.65737- 3 8.90650- 4 2.10000+ 1 2.70000+ 1 4.69180- 5 9.42920- 4 2.10000+ 1 2.90000+ 1 1.55232- 3 9.55620- 4 2.10000+ 1 3.00000+ 1 1.74106- 4 9.57460- 4 2.10000+ 1 4.10000+ 1 1.69578- 6 9.70200- 4 2.20000+ 1 2.20000+ 1 2.26787- 4 8.93020- 4 2.20000+ 1 2.70000+ 1 6.80031- 5 9.45290- 4 2.20000+ 1 2.90000+ 1 1.48581- 3 9.57990- 4 2.20000+ 1 3.00000+ 1 6.80031- 5 9.59830- 4 2.20000+ 1 4.10000+ 1 2.24538- 6 9.72570- 4 2.70000+ 1 2.70000+ 1 7.87279- 6 9.97560- 4 2.70000+ 1 2.90000+ 1 9.49150- 5 1.01026- 3 2.70000+ 1 3.00000+ 1 1.35587- 5 1.01210- 3 2.70000+ 1 4.10000+ 1 4.37383- 7 1.02484- 3 2.90000+ 1 2.90000+ 1 4.48573- 5 1.02296- 3 2.90000+ 1 3.00000+ 1 1.36044- 4 1.02480- 3 2.90000+ 1 4.10000+ 1 2.57372- 6 1.03754- 3 3.00000+ 1 3.00000+ 1 3.45243- 6 1.02664- 3 3.00000+ 1 4.10000+ 1 3.45243- 7 1.03938- 3 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.12415- 5 2.42980- 4 1.40000+ 1 2.33778- 4 2.57700- 4 1.60000+ 1 3.82106- 4 7.58820- 4 2.10000+ 1 1.49791- 4 9.05070- 4 2.20000+ 1 1.23501- 3 9.07440- 4 2.70000+ 1 6.00413- 5 9.59710- 4 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 2.61370- 2 1.11200- 5 1.30000+ 1 1.80000+ 1 1.75519- 2 6.10100- 5 1.30000+ 1 1.90000+ 1 1.01384- 1 7.52200- 5 1.30000+ 1 2.10000+ 1 1.29933- 2 1.57370- 4 1.30000+ 1 2.20000+ 1 9.67777- 3 1.59740- 4 1.30000+ 1 2.70000+ 1 3.05018- 3 2.12010- 4 1.30000+ 1 2.90000+ 1 1.95474- 3 2.24710- 4 1.30000+ 1 3.00000+ 1 9.19137- 3 2.26550- 4 1.30000+ 1 4.10000+ 1 9.92321- 5 2.39290- 4 1.40000+ 1 1.60000+ 1 1.12964- 1 2.58400- 5 1.40000+ 1 1.80000+ 1 1.18087- 1 7.57300- 5 1.40000+ 1 1.90000+ 1 2.27079- 1 8.99400- 5 1.40000+ 1 2.10000+ 1 5.20128- 2 1.72090- 4 1.40000+ 1 2.20000+ 1 8.55188- 2 1.74460- 4 1.40000+ 1 2.70000+ 1 1.75292- 2 2.26730- 4 1.40000+ 1 2.90000+ 1 1.33016- 2 2.39430- 4 1.40000+ 1 3.00000+ 1 2.32581- 2 2.41270- 4 1.40000+ 1 4.10000+ 1 5.75998- 4 2.54010- 4 1.60000+ 1 1.60000+ 1 7.88312- 4 5.26960- 4 1.60000+ 1 1.80000+ 1 1.15253- 3 5.76850- 4 1.60000+ 1 1.90000+ 1 1.67099- 2 5.91060- 4 1.60000+ 1 2.10000+ 1 9.86243- 4 6.73210- 4 1.60000+ 1 2.20000+ 1 1.07508- 3 6.75580- 4 1.60000+ 1 2.70000+ 1 1.93561- 4 7.27850- 4 1.60000+ 1 2.90000+ 1 1.16134- 4 7.40550- 4 1.60000+ 1 3.00000+ 1 1.37159- 3 7.42390- 4 1.60000+ 1 4.10000+ 1 6.15847- 6 7.55130- 4 1.80000+ 1 1.80000+ 1 1.88033- 4 6.26740- 4 1.80000+ 1 1.90000+ 1 1.92762- 2 6.40950- 4 1.80000+ 1 2.10000+ 1 5.27385- 4 7.23100- 4 1.80000+ 1 2.20000+ 1 3.11689- 3 7.25470- 4 1.80000+ 1 2.70000+ 1 1.28935- 4 7.77740- 4 1.80000+ 1 2.90000+ 1 3.58150- 5 7.90440- 4 1.80000+ 1 3.00000+ 1 1.59650- 3 7.92280- 4 1.80000+ 1 4.10000+ 1 4.47680- 6 8.05020- 4 1.90000+ 1 1.90000+ 1 2.50532- 2 6.55160- 4 1.90000+ 1 2.10000+ 1 3.19814- 2 7.37310- 4 1.90000+ 1 2.20000+ 1 4.34977- 2 7.39680- 4 1.90000+ 1 2.70000+ 1 2.27848- 3 7.91950- 4 1.90000+ 1 2.90000+ 1 2.02397- 3 8.04650- 4 1.90000+ 1 3.00000+ 1 4.95806- 3 8.06490- 4 1.90000+ 1 4.10000+ 1 7.47328- 5 8.19230- 4 2.10000+ 1 2.10000+ 1 1.80346- 4 8.19460- 4 2.10000+ 1 2.20000+ 1 2.22502- 3 8.21830- 4 2.10000+ 1 2.70000+ 1 6.93618- 5 8.74100- 4 2.10000+ 1 2.90000+ 1 2.83473- 5 8.86800- 4 2.10000+ 1 3.00000+ 1 2.00071- 3 8.88640- 4 2.10000+ 1 4.10000+ 1 2.41254- 6 9.01380- 4 2.20000+ 1 2.20000+ 1 1.06367- 3 8.24200- 4 2.20000+ 1 2.70000+ 1 6.52493- 5 8.76470- 4 2.20000+ 1 2.90000+ 1 1.40804- 4 8.89170- 4 2.20000+ 1 3.00000+ 1 2.19742- 3 8.91010- 4 2.20000+ 1 4.10000+ 1 1.96237- 6 9.03750- 4 2.70000+ 1 2.70000+ 1 7.40594- 6 9.28740- 4 2.70000+ 1 2.90000+ 1 7.93489- 6 9.41440- 4 2.70000+ 1 3.00000+ 1 1.24314- 4 9.43280- 4 2.70000+ 1 4.10000+ 1 5.29005- 7 9.56020- 4 2.90000+ 1 2.90000+ 1 1.11957- 6 9.54140- 4 2.90000+ 1 3.00000+ 1 1.18117- 4 9.55980- 4 3.00000+ 1 3.00000+ 1 1.71229- 4 9.57820- 4 3.00000+ 1 4.10000+ 1 4.58137- 6 9.70560- 4 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.07960- 3 5.65730- 4 1.90000+ 1 3.25161- 4 5.79940- 4 2.90000+ 1 2.61900- 4 7.29430- 4 3.00000+ 1 4.00351- 5 7.31270- 4 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.00000+ 1 9.55523- 3 0.00000+ 0 1.40000+ 1 4.10000+ 1 5.15787- 4 1.10300- 5 1.60000+ 1 1.60000+ 1 1.31129- 5 2.83980- 4 1.60000+ 1 1.80000+ 1 5.48567- 3 3.33870- 4 1.60000+ 1 1.90000+ 1 4.31002- 3 3.48080- 4 1.60000+ 1 2.10000+ 1 1.10757- 1 4.30230- 4 1.60000+ 1 2.20000+ 1 1.54262- 2 4.32600- 4 1.60000+ 1 2.70000+ 1 2.62259- 5 4.84870- 4 1.60000+ 1 2.90000+ 1 5.20167- 4 4.97570- 4 1.60000+ 1 3.00000+ 1 3.01595- 4 4.99410- 4 1.80000+ 1 1.80000+ 1 1.93219- 3 3.83760- 4 1.80000+ 1 1.90000+ 1 1.70307- 2 3.97970- 4 1.80000+ 1 2.10000+ 1 8.95888- 2 4.80120- 4 1.80000+ 1 2.20000+ 1 7.86856- 3 4.82490- 4 1.80000+ 1 2.70000+ 1 4.41519- 4 5.34760- 4 1.80000+ 1 2.90000+ 1 3.97809- 4 5.47460- 4 1.80000+ 1 3.00000+ 1 1.47746- 3 5.49300- 4 1.80000+ 1 4.10000+ 1 1.31139- 5 5.62040- 4 1.90000+ 1 1.90000+ 1 6.55214- 3 4.12180- 4 1.90000+ 1 2.10000+ 1 1.97831- 1 4.94330- 4 1.90000+ 1 2.20000+ 1 7.52685- 3 4.96700- 4 1.90000+ 1 2.70000+ 1 4.19609- 4 5.48970- 4 1.90000+ 1 2.90000+ 1 1.48174- 3 5.61670- 4 1.90000+ 1 3.00000+ 1 1.10592- 3 5.63510- 4 1.90000+ 1 4.10000+ 1 1.31125- 5 5.76250- 4 2.10000+ 1 2.10000+ 1 1.50784- 1 5.76480- 4 2.10000+ 1 2.20000+ 1 3.10056- 1 5.78850- 4 2.10000+ 1 2.70000+ 1 1.50714- 2 6.31120- 4 2.10000+ 1 2.90000+ 1 1.04734- 2 6.43820- 4 2.10000+ 1 3.00000+ 1 2.18827- 2 6.45660- 4 2.10000+ 1 4.10000+ 1 4.93793- 4 6.58400- 4 2.20000+ 1 2.20000+ 1 5.16667- 3 5.81220- 4 2.20000+ 1 2.70000+ 1 1.18019- 3 6.33490- 4 2.20000+ 1 2.90000+ 1 6.29439- 4 6.46190- 4 2.20000+ 1 3.00000+ 1 6.90648- 4 6.48030- 4 2.20000+ 1 4.10000+ 1 3.49705- 5 6.60770- 4 2.70000+ 1 2.90000+ 1 4.63325- 5 6.98460- 4 2.70000+ 1 3.00000+ 1 2.94826- 5 7.00300- 4 2.90000+ 1 2.90000+ 1 1.44805- 5 7.11160- 4 2.90000+ 1 3.00000+ 1 9.26797- 5 7.13000- 4 3.00000+ 1 3.00000+ 1 5.56161- 5 7.14840- 4 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.24497- 3 5.65220- 4 3.00000+ 1 2.76176- 4 7.16550- 4 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 7.29331- 5 2.69260- 4 1.60000+ 1 1.80000+ 1 2.18790- 3 3.19150- 4 1.60000+ 1 1.90000+ 1 8.33159- 3 3.33360- 4 1.60000+ 1 2.10000+ 1 1.13606- 2 4.15510- 4 1.60000+ 1 2.20000+ 1 1.16190- 1 4.17880- 4 1.60000+ 1 2.70000+ 1 3.00304- 5 4.70150- 4 1.60000+ 1 2.90000+ 1 1.15831- 4 4.82850- 4 1.60000+ 1 3.00000+ 1 6.99297- 4 4.84690- 4 1.80000+ 1 1.90000+ 1 1.66976- 2 3.83250- 4 1.80000+ 1 2.10000+ 1 1.23567- 3 4.65400- 4 1.80000+ 1 2.20000+ 1 1.09698- 1 4.67770- 4 1.80000+ 1 2.70000+ 1 1.84489- 4 5.20040- 4 1.80000+ 1 2.90000+ 1 4.29039- 6 5.32740- 4 1.80000+ 1 3.00000+ 1 1.42438- 3 5.34580- 4 1.80000+ 1 4.10000+ 1 4.29039- 6 5.47320- 4 1.90000+ 1 1.90000+ 1 1.26351- 2 3.97460- 4 1.90000+ 1 2.10000+ 1 1.01124- 2 4.79610- 4 1.90000+ 1 2.20000+ 1 1.80864- 1 4.81980- 4 1.90000+ 1 2.70000+ 1 7.55097- 4 5.34250- 4 1.90000+ 1 2.90000+ 1 1.36858- 3 5.46950- 4 1.90000+ 1 3.00000+ 1 2.22665- 3 5.48790- 4 1.90000+ 1 4.10000+ 1 2.57411- 5 5.61530- 4 2.10000+ 1 2.10000+ 1 2.08937- 3 5.61760- 4 2.10000+ 1 2.20000+ 1 2.16800- 1 5.64130- 4 2.10000+ 1 2.70000+ 1 8.58027- 4 6.16400- 4 2.10000+ 1 2.90000+ 1 1.41572- 4 6.29100- 4 2.10000+ 1 3.00000+ 1 8.32294- 4 6.30940- 4 2.10000+ 1 4.10000+ 1 2.57402- 5 6.43680- 4 2.20000+ 1 2.20000+ 1 2.50840- 1 5.66500- 4 2.20000+ 1 2.70000+ 1 1.56243- 2 6.18770- 4 2.20000+ 1 2.90000+ 1 1.26008- 2 6.31470- 4 2.20000+ 1 3.00000+ 1 2.05208- 2 6.33310- 4 2.20000+ 1 4.10000+ 1 5.10539- 4 6.46050- 4 2.70000+ 1 2.90000+ 1 1.24710- 5 6.83740- 4 2.70000+ 1 3.00000+ 1 9.97675- 5 6.85580- 4 2.90000+ 1 3.00000+ 1 1.33738- 4 6.98280- 4 3.00000+ 1 3.00000+ 1 1.59454- 4 7.00120- 4 3.00000+ 1 4.10000+ 1 6.64381- 6 7.12860- 4 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.12361- 5 4.98900- 5 1.90000+ 1 4.55959- 5 6.41000- 5 2.90000+ 1 1.23188- 5 2.13590- 4 3.00000+ 1 1.20406- 5 2.15430- 4 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.70000+ 1 7.61086- 2 1.89200- 5 1.80000+ 1 2.90000+ 1 5.26425- 2 3.16200- 5 1.80000+ 1 3.00000+ 1 1.19047- 1 3.34600- 5 1.80000+ 1 4.10000+ 1 2.37299- 3 4.62000- 5 1.90000+ 1 2.70000+ 1 1.13094- 1 3.31300- 5 1.90000+ 1 2.90000+ 1 1.06608- 1 4.58300- 5 1.90000+ 1 3.00000+ 1 1.49267- 1 4.76700- 5 1.90000+ 1 4.10000+ 1 3.59204- 3 6.04100- 5 2.10000+ 1 2.10000+ 1 6.13813- 3 6.06400- 5 2.10000+ 1 2.20000+ 1 7.70327- 2 6.30100- 5 2.10000+ 1 2.70000+ 1 3.21623- 2 1.15280- 4 2.10000+ 1 2.90000+ 1 5.04274- 3 1.27980- 4 2.10000+ 1 3.00000+ 1 2.22643- 2 1.29820- 4 2.10000+ 1 4.10000+ 1 8.80204- 4 1.42560- 4 2.20000+ 1 2.20000+ 1 2.90258- 2 6.53800- 5 2.20000+ 1 2.70000+ 1 4.80950- 2 1.17650- 4 2.20000+ 1 2.90000+ 1 1.97498- 2 1.30350- 4 2.20000+ 1 3.00000+ 1 2.00843- 2 1.32190- 4 2.20000+ 1 4.10000+ 1 1.31532- 3 1.44930- 4 2.70000+ 1 2.70000+ 1 1.38602- 2 1.69920- 4 2.70000+ 1 2.90000+ 1 1.57799- 2 1.82620- 4 2.70000+ 1 3.00000+ 1 2.80816- 2 1.84460- 4 2.70000+ 1 4.10000+ 1 8.10461- 4 1.97200- 4 2.90000+ 1 2.90000+ 1 5.50465- 3 1.95320- 4 2.90000+ 1 3.00000+ 1 2.54055- 2 1.97160- 4 2.90000+ 1 4.10000+ 1 1.85899- 3 2.09900- 4 3.00000+ 1 3.00000+ 1 2.07661- 2 1.99000- 4 3.00000+ 1 4.10000+ 1 3.32899- 3 2.11740- 4 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.08230- 4 9.63600- 5 2.70000+ 1 1.63241- 5 1.51000- 4 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 4.10000+ 1 1.87881- 4 1.05200- 5 2.10000+ 1 2.10000+ 1 1.63201- 1 1.07500- 5 2.10000+ 1 2.20000+ 1 7.29819- 1 1.31200- 5 2.10000+ 1 2.70000+ 1 1.94886- 2 6.53900- 5 2.10000+ 1 2.90000+ 1 1.31855- 2 7.80900- 5 2.10000+ 1 3.00000+ 1 2.66408- 2 7.99300- 5 2.10000+ 1 4.10000+ 1 6.49856- 4 9.26700- 5 2.20000+ 1 2.20000+ 1 2.50975- 2 1.54900- 5 2.20000+ 1 2.70000+ 1 2.79293- 3 6.77600- 5 2.20000+ 1 2.90000+ 1 1.29795- 2 8.04600- 5 2.20000+ 1 3.00000+ 1 2.96993- 3 8.23000- 5 2.20000+ 1 4.10000+ 1 8.23633- 5 9.50400- 5 2.70000+ 1 2.70000+ 1 3.06958- 5 1.20030- 4 2.70000+ 1 2.90000+ 1 7.46578- 4 1.32730- 4 2.70000+ 1 3.00000+ 1 9.99006- 5 1.34570- 4 2.70000+ 1 4.10000+ 1 1.83946- 6 1.47310- 4 2.90000+ 1 2.90000+ 1 4.64404- 4 1.45430- 4 2.90000+ 1 3.00000+ 1 1.36010- 3 1.47270- 4 2.90000+ 1 4.10000+ 1 2.91091- 5 1.60010- 4 3.00000+ 1 3.00000+ 1 4.55887- 5 1.49110- 4 3.00000+ 1 4.10000+ 1 2.89656- 6 1.61850- 4 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.69840- 6 8.21500- 5 2.20000+ 1 2.81180- 5 8.45200- 5 2.70000+ 1 6.19989- 6 1.36790- 4 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.10000+ 1 7.88904- 2 0.00000+ 0 2.10000+ 1 2.20000+ 1 1.80721- 1 0.00000+ 0 2.10000+ 1 2.70000+ 1 2.43401- 3 5.11800- 5 2.10000+ 1 2.90000+ 1 1.77651- 3 6.38800- 5 2.10000+ 1 3.00000+ 1 7.61968- 3 6.57200- 5 2.10000+ 1 4.10000+ 1 7.83244- 5 7.84600- 5 2.20000+ 1 2.20000+ 1 6.81190- 1 1.28000- 6 2.20000+ 1 2.70000+ 1 1.31198- 2 5.35500- 5 2.20000+ 1 2.90000+ 1 1.21430- 2 6.62500- 5 2.20000+ 1 3.00000+ 1 1.97468- 2 6.80900- 5 2.20000+ 1 4.10000+ 1 4.39568- 4 8.08300- 5 2.70000+ 1 2.70000+ 1 3.17611- 6 1.05820- 4 2.70000+ 1 2.90000+ 1 4.43466- 5 1.18520- 4 2.70000+ 1 3.00000+ 1 8.45201- 4 1.20360- 4 2.70000+ 1 4.10000+ 1 2.35258- 7 1.33100- 4 2.90000+ 1 2.90000+ 1 4.29381- 6 1.31220- 4 2.90000+ 1 3.00000+ 1 3.50808- 4 1.33060- 4 2.90000+ 1 4.10000+ 1 5.57650- 7 1.45800- 4 3.00000+ 1 3.00000+ 1 5.41278- 4 1.34900- 4 3.00000+ 1 4.10000+ 1 1.46513- 5 1.47640- 4 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 8.08289- 7 6.73400- 5 3.00000+ 1 1.39470- 7 6.91800- 5 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 2.46742- 1 2.36700- 5 2.70000+ 1 2.90000+ 1 5.60254- 2 3.63700- 5 2.70000+ 1 3.00000+ 1 6.54960- 2 3.82100- 5 2.70000+ 1 4.10000+ 1 8.12578- 3 5.09500- 5 2.90000+ 1 2.90000+ 1 1.51938- 1 4.90700- 5 2.90000+ 1 3.00000+ 1 3.56354- 1 5.09100- 5 2.90000+ 1 4.10000+ 1 4.19779- 3 6.36500- 5 3.00000+ 1 3.00000+ 1 1.08283- 1 5.27500- 5 3.00000+ 1 4.10000+ 1 2.83728- 3 6.54900- 5 1 55000 0 7 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 9.73099- 7 6.68100- 5 1 55000 0 9 1.32905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 3.05976- 1 2.13000- 5 2.70000+ 1 2.90000+ 1 4.21417- 2 3.40000- 5 2.70000+ 1 3.00000+ 1 1.02864- 1 3.58400- 5 2.70000+ 1 4.10000+ 1 1.00980- 2 4.85800- 5 2.90000+ 1 2.90000+ 1 3.03864- 2 4.67000- 5 2.90000+ 1 3.00000+ 1 2.40029- 1 4.85400- 5 2.90000+ 1 4.10000+ 1 1.53463- 3 6.12800- 5 3.00000+ 1 3.00000+ 1 2.61637- 1 5.03800- 5 3.00000+ 1 4.10000+ 1 5.33315- 3 6.31200- 5 1 56000 0 0 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 1 56000 0 0 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.74490- 2 3.00000+ 0 5.96080- 3 5.00000+ 0 5.63030- 3 6.00000+ 0 5.24340- 3 8.00000+ 0 1.27340- 3 1.00000+ 1 1.13220- 3 1.10000+ 1 1.05700- 3 1.30000+ 1 8.06640- 4 1.40000+ 1 7.90490- 4 1.60000+ 1 2.56350- 4 1.80000+ 1 2.04210- 4 1.90000+ 1 1.88350- 4 2.10000+ 1 1.02160- 4 2.20000+ 1 9.94600- 5 2.70000+ 1 3.83900- 5 2.90000+ 1 2.43000- 5 3.00000+ 1 2.20000- 5 4.10000+ 1 4.64000- 6 1 56000 0 0 1.37330+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.80100- 2 3.00000+ 0 1.05940- 2 5.00000+ 0 1.06040- 2 6.00000+ 0 9.19110- 3 8.00000+ 0 3.14870- 3 1.00000+ 1 3.07510- 3 1.10000+ 1 2.75460- 3 1.30000+ 1 2.62600- 3 1.40000+ 1 2.54900- 3 1.60000+ 1 9.41600- 4 1.80000+ 1 8.69640- 4 1.90000+ 1 7.85320- 4 2.10000+ 1 6.39560- 4 2.20000+ 1 6.21430- 4 2.70000+ 1 2.05610- 4 2.90000+ 1 1.62630- 4 3.00000+ 1 1.45190- 4 4.10000+ 1 2.40500- 5 1 56000 0 0 1.37330+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.35160-10 3.00000+ 0 5.76150-10 5.00000+ 0 4.84240-10 6.00000+ 0 5.15910-10 8.00000+ 0 1.53340- 9 1.00000+ 1 1.47740- 9 1.10000+ 1 1.53960- 9 1.30000+ 1 1.38320- 9 1.40000+ 1 1.40290- 9 1.60000+ 1 3.52760- 9 1.80000+ 1 3.63680- 9 1.90000+ 1 3.77740- 9 2.10000+ 1 4.10870- 9 2.20000+ 1 4.15890- 9 2.70000+ 1 8.42600- 9 2.90000+ 1 9.46480- 9 3.00000+ 1 9.88180- 9 4.10000+ 1 2.49730- 8 1 56000 0 0 1.37330+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.15710- 5 3.00000+ 0 1.98820- 7 5.00000+ 0 3.34020- 7 6.00000+ 0 3.12860- 7 8.00000+ 0 5.46230- 9 1.00000+ 1 5.36540- 9 1.10000+ 1 5.39390- 9 1.30000+ 1 4.15580-10 1.40000+ 1 3.49610-10 1.60000+ 1 1.41330-10 1.80000+ 1 2.98790-10 1.90000+ 1 2.29100-10 2.10000+ 1 1.67240-11 2.20000+ 1 1.46980-11 2.70000+ 1 7.43920-12 1 56000 0 0 1.37330+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.26230- 6 3.00000+ 0 3.40740- 6 5.00000+ 0 2.72140- 6 6.00000+ 0 2.50930- 6 8.00000+ 0 1.18720- 5 1.00000+ 1 5.12440- 6 1.10000+ 1 6.08420- 6 1.30000+ 1 6.55310- 7 1.40000+ 1 6.67650- 7 1.60000+ 1 6.32930- 6 1.80000+ 1 1.74120- 5 1.90000+ 1 2.48810- 6 2.10000+ 1 8.06150- 8 2.20000+ 1 8.11110- 8 2.70000+ 1 6.44090- 7 1 56000 0 0 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.46160- 4 3.00000+ 0 2.86906- 4 5.00000+ 0 2.47187- 4 6.00000+ 0 2.33523- 4 8.00000+ 0 2.08340- 4 1.00000+ 1 1.78964- 4 1.10000+ 1 1.69757- 4 1.30000+ 1 1.10536- 4 1.40000+ 1 1.10342- 4 1.60000+ 1 9.01390- 5 1.80000+ 1 9.19437- 5 1.90000+ 1 7.08681- 5 2.10000+ 1 4.76083- 5 2.20000+ 1 4.73621- 5 2.70000+ 1 2.73769- 5 2.90000+ 1 2.43000- 5 3.00000+ 1 2.20000- 5 4.10000+ 1 4.64000- 6 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.00922+ 0 3.00000+ 0 1.17140- 1 5.00000+ 0 1.29013- 1 6.00000+ 0 1.10464- 1 8.00000+ 0 4.80401- 3 1.00000+ 1 5.09488- 3 1.10000+ 1 4.81834- 3 1.30000+ 1 3.24041- 3 1.40000+ 1 3.00509- 3 1.60000+ 1 1.46050- 4 1.80000+ 1 1.49588- 4 1.90000+ 1 4.67738- 5 2.10000+ 1 1.59084- 6 2.20000+ 1 1.62687- 6 2.70000+ 1 2.89523-10 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.02035- 2 3.00000+ 0 5.38659- 4 5.00000+ 0 5.98660- 4 6.00000+ 0 4.74379- 4 8.00000+ 0 3.57165- 6 1.00000+ 1 3.65141- 6 1.10000+ 1 3.45678- 6 1.30000+ 1 2.00265- 6 1.40000+ 1 1.84305- 6 1.60000+ 1 1.69071- 8 1.80000+ 1 1.65186- 8 1.90000+ 1 4.62319- 9 2.10000+ 1 1.24391-10 2.20000+ 1 1.26007-10 2.70000+ 1 4.58602-15 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.22319+ 1 3.00000+ 0 1.44381+ 1 5.00000+ 0 1.22505+ 1 6.00000+ 0 1.15719+ 1 8.00000+ 0 1.02180+ 1 1.00000+ 1 8.57915+ 0 1.10000+ 1 8.15349+ 0 1.30000+ 1 4.87767+ 0 1.40000+ 1 4.97205+ 0 1.60000+ 1 3.89206+ 0 1.80000+ 1 3.89235+ 0 1.90000+ 1 2.82573+ 0 2.10000+ 1 1.47759+ 0 2.20000+ 1 1.59375+ 0 2.70000+ 1 1.00000+ 0 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.99936- 3 3.00000+ 0 5.13523- 3 5.00000+ 0 4.78445- 3 6.00000+ 0 4.53550- 3 8.00000+ 0 1.06149- 3 1.00000+ 1 9.49585- 4 1.10000+ 1 8.83787- 4 1.30000+ 1 6.94102- 4 1.40000+ 1 6.78305- 4 1.60000+ 1 1.66194- 4 1.80000+ 1 1.12250- 4 1.90000+ 1 1.17477- 4 2.10000+ 1 5.45516- 5 2.20000+ 1 5.20978- 5 2.70000+ 1 1.10131- 5 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.59109- 1 3.18187- 2 6.00000+ 0 4.77119- 1 3.22056- 2 1.00000+ 1 4.55999- 2 3.63168- 2 1.10000+ 1 8.83548- 2 3.63920- 2 1.30000+ 1 4.94539- 4 3.66424- 2 1.40000+ 1 6.71248- 4 3.66585- 2 1.80000+ 1 9.63368- 3 3.72448- 2 1.90000+ 1 1.87670- 2 3.72606- 2 2.10000+ 1 1.00470- 4 3.73468- 2 2.20000+ 1 1.36260- 4 3.73495- 2 2.90000+ 1 1.35170- 3 3.74247- 2 3.00000+ 1 2.59259- 3 3.74270- 2 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 7.85623- 3 2.55274- 2 3.00000+ 0 5.00000+ 0 9.44683- 3 2.58579- 2 3.00000+ 0 6.00000+ 0 1.08677- 2 2.62448- 2 3.00000+ 0 8.00000+ 0 2.83874- 3 3.02148- 2 3.00000+ 0 1.00000+ 1 1.83216- 3 3.03560- 2 3.00000+ 0 1.10000+ 1 2.13946- 3 3.04312- 2 3.00000+ 0 1.30000+ 1 1.42074- 4 3.06816- 2 3.00000+ 0 1.40000+ 1 1.51393- 4 3.06977- 2 3.00000+ 0 1.60000+ 1 6.31250- 4 3.12318- 2 3.00000+ 0 1.80000+ 1 3.86661- 4 3.12840- 2 3.00000+ 0 1.90000+ 1 4.49615- 4 3.12999- 2 3.00000+ 0 2.10000+ 1 2.79586- 5 3.13860- 2 3.00000+ 0 2.20000+ 1 2.96152- 5 3.13887- 2 3.00000+ 0 2.70000+ 1 1.05825- 4 3.14498- 2 3.00000+ 0 2.90000+ 1 5.32253- 5 3.14639- 2 3.00000+ 0 3.00000+ 1 6.02669- 5 3.14662- 2 3.00000+ 0 4.10000+ 1 9.94079- 6 3.14836- 2 5.00000+ 0 5.00000+ 0 1.09947- 3 2.61884- 2 5.00000+ 0 6.00000+ 0 2.29213- 2 2.65753- 2 5.00000+ 0 8.00000+ 0 1.42036- 3 3.05453- 2 5.00000+ 0 1.00000+ 1 3.81066- 4 3.06865- 2 5.00000+ 0 1.10000+ 1 3.76445- 3 3.07617- 2 5.00000+ 0 1.30000+ 1 1.67334- 4 3.10121- 2 5.00000+ 0 1.40000+ 1 5.54213- 4 3.10282- 2 5.00000+ 0 1.60000+ 1 3.04026- 4 3.15623- 2 5.00000+ 0 1.80000+ 1 7.89044- 5 3.16145- 2 5.00000+ 0 1.90000+ 1 7.64613- 4 3.16303- 2 5.00000+ 0 2.10000+ 1 3.23084- 5 3.17165- 2 5.00000+ 0 2.20000+ 1 1.06871- 4 3.17192- 2 5.00000+ 0 2.70000+ 1 5.05333- 5 3.17803- 2 5.00000+ 0 2.90000+ 1 1.07691- 5 3.17944- 2 5.00000+ 0 3.00000+ 1 1.01899- 4 3.17967- 2 5.00000+ 0 4.10000+ 1 4.76342- 6 3.18141- 2 6.00000+ 0 6.00000+ 0 1.13338- 2 2.69622- 2 6.00000+ 0 8.00000+ 0 1.59121- 3 3.09322- 2 6.00000+ 0 1.00000+ 1 3.65831- 3 3.10734- 2 6.00000+ 0 1.10000+ 1 3.82427- 3 3.11486- 2 6.00000+ 0 1.30000+ 1 6.56313- 4 3.13990- 2 6.00000+ 0 1.40000+ 1 6.00196- 4 3.14151- 2 6.00000+ 0 1.60000+ 1 3.38618- 4 3.19493- 2 6.00000+ 0 1.80000+ 1 7.44958- 4 3.20014- 2 6.00000+ 0 1.90000+ 1 7.81598- 4 3.20172- 2 6.00000+ 0 2.10000+ 1 1.27160- 4 3.21034- 2 6.00000+ 0 2.20000+ 1 1.15976- 4 3.21061- 2 6.00000+ 0 2.70000+ 1 5.63322- 5 3.21672- 2 6.00000+ 0 2.90000+ 1 1.01685- 4 3.21813- 2 6.00000+ 0 3.00000+ 1 1.04176- 4 3.21836- 2 6.00000+ 0 4.10000+ 1 5.38481- 6 3.22010- 2 8.00000+ 0 8.00000+ 0 2.52661- 4 3.49022- 2 8.00000+ 0 1.00000+ 1 2.77920- 4 3.50434- 2 8.00000+ 0 1.10000+ 1 3.15828- 4 3.51186- 2 8.00000+ 0 1.30000+ 1 1.98821- 5 3.53690- 2 8.00000+ 0 1.40000+ 1 2.05033- 5 3.53851- 2 8.00000+ 0 1.60000+ 1 1.12045- 4 3.59192- 2 8.00000+ 0 1.80000+ 1 5.88162- 5 3.59714- 2 8.00000+ 0 1.90000+ 1 6.64790- 5 3.59872- 2 8.00000+ 0 2.10000+ 1 3.93482- 6 3.60734- 2 8.00000+ 0 2.20000+ 1 3.93482- 6 3.60761- 2 8.00000+ 0 2.70000+ 1 1.88457- 5 3.61372- 2 8.00000+ 0 2.90000+ 1 8.07673- 6 3.61513- 2 8.00000+ 0 3.00000+ 1 8.90562- 6 3.61536- 2 8.00000+ 0 4.10000+ 1 1.86397- 6 3.61710- 2 1.00000+ 1 1.00000+ 1 3.18932- 5 3.51846- 2 1.00000+ 1 1.10000+ 1 6.11364- 4 3.52598- 2 1.00000+ 1 1.30000+ 1 2.13321- 5 3.55102- 2 1.00000+ 1 1.40000+ 1 6.91724- 5 3.55263- 2 1.00000+ 1 1.60000+ 1 5.96458- 5 3.60604- 2 1.00000+ 1 1.80000+ 1 1.30469- 5 3.61126- 2 1.00000+ 1 1.90000+ 1 1.24462- 4 3.61285- 2 1.00000+ 1 2.10000+ 1 4.14207- 6 3.62146- 2 1.00000+ 1 2.20000+ 1 1.34612- 5 3.62173- 2 1.00000+ 1 2.70000+ 1 9.94080- 6 3.62784- 2 1.00000+ 1 2.90000+ 1 1.86401- 6 3.62925- 2 1.00000+ 1 3.00000+ 1 1.65683- 5 3.62948- 2 1.00000+ 1 4.10000+ 1 1.03550- 6 3.63122- 2 1.10000+ 1 1.10000+ 1 3.23912- 4 3.53350- 2 1.10000+ 1 1.30000+ 1 8.80222- 5 3.55854- 2 1.10000+ 1 1.40000+ 1 7.84927- 5 3.56015- 2 1.10000+ 1 1.60000+ 1 6.73084- 5 3.61356- 2 1.10000+ 1 1.80000+ 1 1.24882- 4 3.61878- 2 1.10000+ 1 1.90000+ 1 1.32550- 4 3.62036- 2 1.10000+ 1 2.10000+ 1 1.71905- 5 3.62898- 2 1.10000+ 1 2.20000+ 1 1.53257- 5 3.62925- 2 1.10000+ 1 2.70000+ 1 1.11832- 5 3.63536- 2 1.10000+ 1 2.90000+ 1 1.69823- 5 3.63677- 2 1.10000+ 1 3.00000+ 1 1.76036- 5 3.63700- 2 1.10000+ 1 4.10000+ 1 1.03549- 6 3.63874- 2 1.30000+ 1 1.40000+ 1 1.02672- 5 3.58519- 2 1.30000+ 1 1.60000+ 1 4.10694- 6 3.63860- 2 1.30000+ 1 1.80000+ 1 4.10694- 6 3.64381- 2 1.30000+ 1 1.90000+ 1 1.70447- 5 3.64540- 2 1.30000+ 1 2.20000+ 1 1.84820- 6 3.65429- 2 1.30000+ 1 2.70000+ 1 6.16038- 7 3.66040- 2 1.30000+ 1 2.90000+ 1 6.16038- 7 3.66181- 2 1.30000+ 1 3.00000+ 1 2.25885- 6 3.66204- 2 1.40000+ 1 1.40000+ 1 2.49469- 6 3.58680- 2 1.40000+ 1 1.60000+ 1 4.36558- 6 3.64022- 2 1.40000+ 1 1.80000+ 1 1.35123- 5 3.64543- 2 1.40000+ 1 1.90000+ 1 1.53840- 5 3.64702- 2 1.40000+ 1 2.10000+ 1 1.87110- 6 3.65563- 2 1.40000+ 1 2.20000+ 1 8.31545- 7 3.65590- 2 1.40000+ 1 2.70000+ 1 6.23669- 7 3.66201- 2 1.40000+ 1 2.90000+ 1 1.87110- 6 3.66342- 2 1.40000+ 1 3.00000+ 1 2.07886- 6 3.66365- 2 1.60000+ 1 1.60000+ 1 1.18938- 5 3.69363- 2 1.60000+ 1 1.80000+ 1 1.20930- 5 3.69884- 2 1.60000+ 1 1.90000+ 1 1.36778- 5 3.70043- 2 1.60000+ 1 2.10000+ 1 7.92938- 7 3.70905- 2 1.60000+ 1 2.20000+ 1 7.92938- 7 3.70932- 2 1.60000+ 1 2.70000+ 1 3.96477- 6 3.71543- 2 1.60000+ 1 2.90000+ 1 1.58591- 6 3.71683- 2 1.60000+ 1 3.00000+ 1 1.78422- 6 3.71706- 2 1.60000+ 1 4.10000+ 1 3.96477- 7 3.71880- 2 1.80000+ 1 1.80000+ 1 1.16070- 6 3.70406- 2 1.80000+ 1 1.90000+ 1 2.37952- 5 3.70564- 2 1.80000+ 1 2.10000+ 1 7.73815- 7 3.71426- 2 1.80000+ 1 2.20000+ 1 2.51493- 6 3.71453- 2 1.80000+ 1 2.70000+ 1 1.93453- 6 3.72064- 2 1.80000+ 1 2.90000+ 1 3.86916- 7 3.72205- 2 1.80000+ 1 3.00000+ 1 3.09533- 6 3.72228- 2 1.80000+ 1 4.10000+ 1 1.93453- 7 3.72401- 2 1.90000+ 1 1.90000+ 1 1.25701- 5 3.70723- 2 1.90000+ 1 2.10000+ 1 3.09430- 6 3.71585- 2 1.90000+ 1 2.20000+ 1 2.70747- 6 3.71612- 2 1.90000+ 1 2.70000+ 1 2.12736- 6 3.72223- 2 1.90000+ 1 2.90000+ 1 3.28767- 6 3.72363- 2 1.90000+ 1 3.00000+ 1 3.28767- 6 3.72386- 2 1.90000+ 1 4.10000+ 1 1.93389- 7 3.72560- 2 2.10000+ 1 2.20000+ 1 3.82369- 7 3.72474- 2 2.10000+ 1 2.70000+ 1 1.91180- 7 3.73084- 2 2.10000+ 1 2.90000+ 1 1.91180- 7 3.73225- 2 2.10000+ 1 3.00000+ 1 3.82369- 7 3.73248- 2 2.20000+ 1 2.70000+ 1 1.78722- 7 3.73111- 2 2.20000+ 1 2.90000+ 1 3.57453- 7 3.73252- 2 2.20000+ 1 3.00000+ 1 3.57453- 7 3.73275- 2 2.70000+ 1 2.70000+ 1 3.66589- 7 3.73722- 2 2.70000+ 1 2.90000+ 1 1.83290- 7 3.73863- 2 2.70000+ 1 3.00000+ 1 3.66589- 7 3.73886- 2 2.90000+ 1 3.00000+ 1 5.19969- 7 3.74027- 2 3.00000+ 1 3.00000+ 1 2.07100- 7 3.74050- 2 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.97370- 5 3.30500- 4 6.00000+ 0 4.42920- 4 7.17400- 4 1.00000+ 1 1.55720- 2 4.82860- 3 1.10000+ 1 2.40990- 2 4.90380- 3 1.30000+ 1 2.50490- 4 5.15416- 3 1.40000+ 1 3.74210- 4 5.17031- 3 1.80000+ 1 3.49930- 3 5.75659- 3 1.90000+ 1 5.58689- 3 5.77245- 3 2.10000+ 1 3.25660- 5 5.85864- 3 2.20000+ 1 4.97069- 5 5.86134- 3 2.90000+ 1 5.18289- 4 5.93650- 3 3.00000+ 1 8.16269- 4 5.93880- 3 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.57124- 2 7.41500- 5 5.00000+ 0 1.80000+ 1 4.04804- 2 1.26290- 4 5.00000+ 0 1.90000+ 1 5.06575- 2 1.42150- 4 5.00000+ 0 2.10000+ 1 1.33451- 2 2.28340- 4 5.00000+ 0 2.20000+ 1 2.18252- 2 2.31040- 4 5.00000+ 0 2.70000+ 1 8.98827- 3 2.92110- 4 5.00000+ 0 2.90000+ 1 5.22511- 3 3.06200- 4 5.00000+ 0 3.00000+ 1 6.38480- 3 3.08500- 4 5.00000+ 0 4.10000+ 1 8.41018- 4 3.25860- 4 6.00000+ 0 1.60000+ 1 7.07979- 2 4.61050- 4 6.00000+ 0 1.80000+ 1 3.08656- 2 5.13190- 4 6.00000+ 0 1.90000+ 1 5.73873- 2 5.29050- 4 6.00000+ 0 2.10000+ 1 6.46915- 2 6.15240- 4 6.00000+ 0 2.20000+ 1 8.27825- 2 6.17940- 4 6.00000+ 0 2.70000+ 1 1.14543- 2 6.79010- 4 6.00000+ 0 2.90000+ 1 4.07566- 3 6.93100- 4 6.00000+ 0 3.00000+ 1 7.48044- 3 6.95400- 4 6.00000+ 0 4.10000+ 1 1.07444- 3 7.12760- 4 8.00000+ 0 8.00000+ 0 1.29622- 2 3.41400- 3 8.00000+ 0 1.00000+ 1 2.57908- 2 3.55520- 3 8.00000+ 0 1.10000+ 1 4.73012- 2 3.63040- 3 8.00000+ 0 1.30000+ 1 3.71605- 2 3.88076- 3 8.00000+ 0 1.40000+ 1 5.22324- 2 3.89691- 3 8.00000+ 0 1.60000+ 1 4.91106- 3 4.43105- 3 8.00000+ 0 1.80000+ 1 5.32797- 3 4.48319- 3 8.00000+ 0 1.90000+ 1 9.70585- 3 4.49905- 3 8.00000+ 0 2.10000+ 1 6.21191- 3 4.58524- 3 8.00000+ 0 2.20000+ 1 8.69169- 3 4.58794- 3 8.00000+ 0 2.70000+ 1 8.04634- 4 4.64901- 3 8.00000+ 0 2.90000+ 1 7.28863- 4 4.66310- 3 8.00000+ 0 3.00000+ 1 1.29481- 3 4.66540- 3 8.00000+ 0 4.10000+ 1 7.57661- 5 4.68276- 3 1.00000+ 1 1.00000+ 1 1.38651- 4 3.69640- 3 1.00000+ 1 1.10000+ 1 9.09944- 4 3.77160- 3 1.00000+ 1 1.30000+ 1 1.10846- 3 4.02196- 3 1.00000+ 1 1.40000+ 1 1.39173- 2 4.03811- 3 1.00000+ 1 1.60000+ 1 3.91410- 3 4.57225- 3 1.00000+ 1 1.80000+ 1 2.87904- 5 4.62439- 3 1.00000+ 1 1.90000+ 1 1.77289- 4 4.64025- 3 1.00000+ 1 2.10000+ 1 1.84870- 4 4.72644- 3 1.00000+ 1 2.20000+ 1 1.54485- 3 4.72914- 3 1.00000+ 1 2.70000+ 1 6.10672- 4 4.79021- 3 1.00000+ 1 2.90000+ 1 3.78818- 6 4.80430- 3 1.00000+ 1 3.00000+ 1 2.34876- 5 4.80660- 3 1.00000+ 1 4.10000+ 1 5.68238- 5 4.82396- 3 1.10000+ 1 1.10000+ 1 1.10233- 3 3.84680- 3 1.10000+ 1 1.30000+ 1 9.19572- 3 4.09716- 3 1.10000+ 1 1.40000+ 1 6.20753- 3 4.11331- 3 1.10000+ 1 1.60000+ 1 7.17261- 3 4.64745- 3 1.10000+ 1 1.80000+ 1 1.77289- 4 4.69959- 3 1.10000+ 1 1.90000+ 1 3.43211- 4 4.71545- 3 1.10000+ 1 2.10000+ 1 8.69798- 4 4.80164- 3 1.10000+ 1 2.20000+ 1 6.07638- 4 4.80434- 3 1.10000+ 1 2.70000+ 1 1.11911- 3 4.86541- 3 1.10000+ 1 2.90000+ 1 2.42447- 5 4.87950- 3 1.10000+ 1 3.00000+ 1 4.39427- 5 4.88180- 3 1.10000+ 1 4.10000+ 1 1.04550- 4 4.89916- 3 1.30000+ 1 1.30000+ 1 2.06463- 3 4.34752- 3 1.30000+ 1 1.40000+ 1 7.42418- 2 4.36367- 3 1.30000+ 1 1.60000+ 1 5.33082- 3 4.89781- 3 1.30000+ 1 1.80000+ 1 2.95491- 4 4.94995- 3 1.30000+ 1 1.90000+ 1 1.92515- 3 4.96581- 3 1.30000+ 1 2.10000+ 1 6.82661- 4 5.05200- 3 1.30000+ 1 2.20000+ 1 9.08294- 3 5.05470- 3 1.30000+ 1 2.70000+ 1 8.25089- 4 5.11577- 3 1.30000+ 1 2.90000+ 1 4.24293- 5 5.12986- 3 1.30000+ 1 3.00000+ 1 2.57604- 4 5.13216- 3 1.30000+ 1 4.10000+ 1 7.72824- 5 5.14952- 3 1.40000+ 1 1.40000+ 1 2.08633- 2 4.37982- 3 1.40000+ 1 1.60000+ 1 7.54033- 3 4.91396- 3 1.40000+ 1 1.80000+ 1 2.62075- 3 4.96610- 3 1.40000+ 1 1.90000+ 1 1.36384- 3 4.98196- 3 1.40000+ 1 2.10000+ 1 8.97546- 3 5.06815- 3 1.40000+ 1 2.20000+ 1 5.33780- 3 5.07085- 3 1.40000+ 1 2.70000+ 1 1.16914- 3 5.13192- 3 1.40000+ 1 2.90000+ 1 3.53072- 4 5.14601- 3 1.40000+ 1 3.00000+ 1 1.84112- 4 5.14831- 3 1.40000+ 1 4.10000+ 1 1.09101- 4 5.16567- 3 1.60000+ 1 1.60000+ 1 4.41722- 4 5.44810- 3 1.60000+ 1 1.80000+ 1 8.10686- 4 5.50024- 3 1.60000+ 1 1.90000+ 1 1.47519- 3 5.51610- 3 1.60000+ 1 2.10000+ 1 8.89491- 4 5.60229- 3 1.60000+ 1 2.20000+ 1 1.24936- 3 5.60499- 3 1.60000+ 1 2.70000+ 1 1.43201- 4 5.66606- 3 1.60000+ 1 2.90000+ 1 1.10616- 4 5.68015- 3 1.60000+ 1 3.00000+ 1 1.96993- 4 5.68245- 3 1.60000+ 1 4.10000+ 1 1.36382- 5 5.69981- 3 1.80000+ 1 1.80000+ 1 1.51525- 6 5.55238- 3 1.80000+ 1 1.90000+ 1 3.48529- 5 5.56824- 3 1.80000+ 1 2.10000+ 1 4.16720- 5 5.65443- 3 1.80000+ 1 2.20000+ 1 3.00028- 4 5.65713- 3 1.80000+ 1 2.70000+ 1 1.26532- 4 5.71820- 3 1.80000+ 1 3.00000+ 1 4.54587- 6 5.73459- 3 1.80000+ 1 4.10000+ 1 1.21231- 5 5.75195- 3 1.90000+ 1 1.90000+ 1 2.58158- 5 5.58410- 3 1.90000+ 1 2.10000+ 1 1.88821- 4 5.67029- 3 1.90000+ 1 2.20000+ 1 1.37188- 4 5.67299- 3 1.90000+ 1 2.70000+ 1 2.24238- 4 5.73406- 3 1.90000+ 1 2.90000+ 1 4.42542- 6 5.74815- 3 1.90000+ 1 3.00000+ 1 6.63838- 6 5.75045- 3 1.90000+ 1 4.10000+ 1 2.06525- 5 5.76781- 3 2.10000+ 1 2.10000+ 1 5.28210- 5 5.75648- 3 2.10000+ 1 2.20000+ 1 1.16812- 3 5.75918- 3 2.10000+ 1 2.70000+ 1 1.36583- 4 5.82025- 3 2.10000+ 1 2.90000+ 1 6.03707- 6 5.83434- 3 2.10000+ 1 3.00000+ 1 2.64115- 5 5.83664- 3 2.10000+ 1 4.10000+ 1 1.28293- 5 5.85400- 3 2.20000+ 1 2.20000+ 1 3.56108- 4 5.76188- 3 2.20000+ 1 2.70000+ 1 1.91164- 4 5.82295- 3 2.20000+ 1 2.90000+ 1 4.04833- 5 5.83704- 3 2.20000+ 1 3.00000+ 1 1.87419- 5 5.83934- 3 2.20000+ 1 4.10000+ 1 1.79927- 5 5.85670- 3 2.70000+ 1 2.70000+ 1 9.01847- 6 5.88402- 3 2.70000+ 1 2.90000+ 1 1.38281- 5 5.89811- 3 2.70000+ 1 3.00000+ 1 2.46497- 5 5.90041- 3 2.70000+ 1 4.10000+ 1 1.80369- 6 5.91777- 3 2.90000+ 1 3.00000+ 1 7.57667- 7 5.91450- 3 2.90000+ 1 4.10000+ 1 1.51523- 6 5.93186- 3 3.00000+ 1 3.00000+ 1 1.84745- 7 5.91680- 3 3.00000+ 1 4.10000+ 1 7.38954- 7 5.93416- 3 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.07649- 7 3.86900- 4 8.00000+ 0 4.24138- 3 4.35690- 3 1.10000+ 1 6.51076- 5 4.57330- 3 1.30000+ 1 8.52395- 2 4.82366- 3 1.60000+ 1 6.48217- 4 5.37395- 3 1.90000+ 1 9.31455- 6 5.44195- 3 2.10000+ 1 1.37659- 2 5.52814- 3 2.70000+ 1 8.75435- 5 5.59191- 3 3.00000+ 1 1.36159- 6 5.60830- 3 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.10656- 2 1.30550- 4 6.00000+ 0 1.80000+ 1 5.11170- 2 1.82690- 4 6.00000+ 0 1.90000+ 1 1.74845- 2 1.98550- 4 6.00000+ 0 2.10000+ 1 6.50700- 2 2.84740- 4 6.00000+ 0 2.20000+ 1 2.40504- 2 2.87440- 4 6.00000+ 0 2.70000+ 1 1.67076- 3 3.48510- 4 6.00000+ 0 2.90000+ 1 6.63611- 3 3.62600- 4 6.00000+ 0 3.00000+ 1 2.30963- 3 3.64900- 4 6.00000+ 0 4.10000+ 1 1.55059- 4 3.82260- 4 8.00000+ 0 8.00000+ 0 1.00467- 3 3.08350- 3 8.00000+ 0 1.00000+ 1 2.47231- 2 3.22470- 3 8.00000+ 0 1.10000+ 1 2.37952- 3 3.29990- 3 8.00000+ 0 1.30000+ 1 1.97445- 3 3.55026- 3 8.00000+ 0 1.40000+ 1 3.29193- 3 3.56641- 3 8.00000+ 0 1.60000+ 1 3.53125- 4 4.10055- 3 8.00000+ 0 1.80000+ 1 3.50619- 3 4.15269- 3 8.00000+ 0 1.90000+ 1 4.33787- 4 4.16855- 3 8.00000+ 0 2.10000+ 1 2.37499- 4 4.25474- 3 8.00000+ 0 2.20000+ 1 3.43283- 4 4.25744- 3 8.00000+ 0 2.70000+ 1 5.64649- 5 4.31851- 3 8.00000+ 0 2.90000+ 1 4.49929- 4 4.33260- 3 8.00000+ 0 3.00000+ 1 5.64649- 5 4.33490- 3 8.00000+ 0 4.10000+ 1 5.37738- 6 4.35226- 3 1.00000+ 1 1.00000+ 1 2.43875- 2 3.36590- 3 1.00000+ 1 1.10000+ 1 7.54066- 2 3.44110- 3 1.00000+ 1 1.30000+ 1 4.00999- 2 3.69146- 3 1.00000+ 1 1.40000+ 1 6.79915- 2 3.70761- 3 1.00000+ 1 1.60000+ 1 5.60228- 3 4.24175- 3 1.00000+ 1 1.80000+ 1 8.63248- 3 4.29389- 3 1.00000+ 1 1.90000+ 1 1.52043- 2 4.30975- 3 1.00000+ 1 2.10000+ 1 6.68956- 3 4.39594- 3 1.00000+ 1 2.20000+ 1 1.13357- 2 4.39864- 3 1.00000+ 1 2.70000+ 1 9.42882- 4 4.45971- 3 1.00000+ 1 2.90000+ 1 1.15521- 3 4.47380- 3 1.00000+ 1 3.00000+ 1 2.02190- 3 4.47610- 3 1.00000+ 1 4.10000+ 1 8.87290- 5 4.49346- 3 1.10000+ 1 1.10000+ 1 1.96548- 3 3.51630- 3 1.10000+ 1 1.30000+ 1 4.67709- 2 3.76666- 3 1.10000+ 1 1.40000+ 1 6.35725- 3 3.78281- 3 1.10000+ 1 1.60000+ 1 4.62476- 4 4.31695- 3 1.10000+ 1 1.80000+ 1 1.10814- 2 4.36909- 3 1.10000+ 1 1.90000+ 1 6.70405- 4 4.38495- 3 1.10000+ 1 2.10000+ 1 6.70576- 3 4.47114- 3 1.10000+ 1 2.20000+ 1 8.54133- 4 4.47384- 3 1.10000+ 1 2.70000+ 1 7.52848- 5 4.53491- 3 1.10000+ 1 2.90000+ 1 1.43038- 3 4.54900- 3 1.10000+ 1 3.00000+ 1 8.69349- 5 4.55130- 3 1.10000+ 1 4.10000+ 1 7.17021- 6 4.56866- 3 1.30000+ 1 1.30000+ 1 4.27161- 2 4.01702- 3 1.30000+ 1 1.40000+ 1 1.82488- 1 4.03317- 3 1.30000+ 1 1.60000+ 1 4.57986- 4 4.56731- 3 1.30000+ 1 1.80000+ 1 5.86884- 3 4.61945- 3 1.30000+ 1 1.90000+ 1 8.88972- 3 4.63531- 3 1.30000+ 1 2.10000+ 1 1.22085- 2 4.72150- 3 1.30000+ 1 2.20000+ 1 2.79031- 2 4.72420- 3 1.30000+ 1 2.70000+ 1 7.70771- 5 4.78527- 3 1.30000+ 1 2.90000+ 1 7.61804- 4 4.79936- 3 1.30000+ 1 3.00000+ 1 1.17053- 3 4.80166- 3 1.30000+ 1 4.10000+ 1 7.17019- 6 4.81902- 3 1.40000+ 1 1.40000+ 1 8.71064- 3 4.04932- 3 1.40000+ 1 1.60000+ 1 6.28291- 4 4.58346- 3 1.40000+ 1 1.80000+ 1 8.87992- 3 4.63560- 3 1.40000+ 1 1.90000+ 1 1.10683- 3 4.65146- 3 1.40000+ 1 2.10000+ 1 2.21326- 2 4.73765- 3 1.40000+ 1 2.20000+ 1 2.42792- 3 4.74035- 3 1.40000+ 1 2.70000+ 1 1.02169- 4 4.80142- 3 1.40000+ 1 2.90000+ 1 1.12213- 3 4.81551- 3 1.40000+ 1 3.00000+ 1 1.43401- 4 4.81781- 3 1.40000+ 1 4.10000+ 1 9.85925- 6 4.83517- 3 1.60000+ 1 1.60000+ 1 3.08128- 5 5.11760- 3 1.60000+ 1 1.80000+ 1 8.06591- 4 5.16974- 3 1.60000+ 1 1.90000+ 1 8.60933- 5 5.18560- 3 1.60000+ 1 2.10000+ 1 5.34681- 5 5.27179- 3 1.60000+ 1 2.20000+ 1 6.79693- 5 5.27449- 3 1.60000+ 1 2.70000+ 1 9.96929- 6 5.33556- 3 1.60000+ 1 2.90000+ 1 1.03310- 4 5.34965- 3 1.60000+ 1 3.00000+ 1 1.08743- 5 5.35195- 3 1.60000+ 1 4.10000+ 1 9.06268- 7 5.36931- 3 1.80000+ 1 1.80000+ 1 6.82120- 4 5.22188- 3 1.80000+ 1 1.90000+ 1 2.08475- 3 5.23774- 3 1.80000+ 1 2.10000+ 1 8.99494- 4 5.32393- 3 1.80000+ 1 2.20000+ 1 1.39099- 3 5.32663- 3 1.80000+ 1 2.70000+ 1 1.25385- 4 5.38770- 3 1.80000+ 1 2.90000+ 1 1.81395- 4 5.40179- 3 1.80000+ 1 3.00000+ 1 2.77533- 4 5.40409- 3 1.80000+ 1 4.10000+ 1 1.17032- 5 5.42145- 3 1.90000+ 1 1.90000+ 1 5.59748- 5 5.25360- 3 1.90000+ 1 2.10000+ 1 1.25500- 3 5.33979- 3 1.90000+ 1 2.20000+ 1 1.49562- 4 5.34249- 3 1.90000+ 1 2.70000+ 1 1.39937- 5 5.40356- 3 1.90000+ 1 2.90000+ 1 2.81613- 4 5.41765- 3 1.90000+ 1 3.00000+ 1 1.48687- 5 5.41995- 3 1.90000+ 1 4.10000+ 1 8.74614- 7 5.43731- 3 2.10000+ 1 2.10000+ 1 8.61810- 4 5.42598- 3 2.10000+ 1 2.20000+ 1 3.48579- 3 5.42868- 3 2.10000+ 1 2.70000+ 1 8.94931- 6 5.48975- 3 2.10000+ 1 2.90000+ 1 1.24396- 4 5.50384- 3 2.10000+ 1 3.00000+ 1 1.69134- 4 5.50614- 3 2.10000+ 1 4.10000+ 1 8.94931- 7 5.52350- 3 2.20000+ 1 2.20000+ 1 1.76094- 4 5.43138- 3 2.20000+ 1 2.70000+ 1 1.11213- 5 5.49245- 3 2.20000+ 1 2.90000+ 1 1.95566- 4 5.50654- 3 2.20000+ 1 3.00000+ 1 2.03902- 5 5.50884- 3 2.20000+ 1 4.10000+ 1 9.26854- 7 5.52620- 3 2.70000+ 1 2.70000+ 1 9.07216- 7 5.55352- 3 2.70000+ 1 2.90000+ 1 1.72363- 5 5.56761- 3 2.70000+ 1 3.00000+ 1 1.81439- 6 5.56991- 3 2.90000+ 1 2.90000+ 1 1.37559- 5 5.58170- 3 2.90000+ 1 3.00000+ 1 4.22517- 5 5.58400- 3 2.90000+ 1 4.10000+ 1 1.96507- 6 5.60136- 3 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 7.71684- 3 3.97000- 3 1.00000+ 1 4.42513- 5 4.11120- 3 1.10000+ 1 4.10792- 5 4.18640- 3 1.30000+ 1 8.38245- 3 4.43676- 3 1.40000+ 1 7.42514- 2 4.45291- 3 1.60000+ 1 7.43294- 4 4.98705- 3 1.80000+ 1 4.49883- 6 5.03919- 3 1.90000+ 1 4.33302- 6 5.05505- 3 2.10000+ 1 1.31391- 3 5.14124- 3 2.20000+ 1 1.17411- 2 5.14394- 3 2.70000+ 1 1.16221- 4 5.20501- 3 2.90000+ 1 6.62344- 7 5.21910- 3 3.00000+ 1 6.29994- 7 5.22140- 3 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.32476- 3 2.69660- 3 8.00000+ 0 1.00000+ 1 9.07829- 4 2.83780- 3 8.00000+ 0 1.10000+ 1 2.86375- 2 2.91300- 3 8.00000+ 0 1.30000+ 1 2.81587- 3 3.16336- 3 8.00000+ 0 1.40000+ 1 3.23474- 3 3.17951- 3 8.00000+ 0 1.60000+ 1 4.67515- 4 3.71365- 3 8.00000+ 0 1.80000+ 1 1.54544- 4 3.76579- 3 8.00000+ 0 1.90000+ 1 4.06109- 3 3.78165- 3 8.00000+ 0 2.10000+ 1 2.52714- 4 3.86784- 3 8.00000+ 0 2.20000+ 1 2.67292- 4 3.87054- 3 8.00000+ 0 2.70000+ 1 7.48425- 5 3.93161- 3 8.00000+ 0 2.90000+ 1 2.04113- 5 3.94570- 3 8.00000+ 0 3.00000+ 1 5.09311- 4 3.94800- 3 8.00000+ 0 4.10000+ 1 6.80378- 6 3.96536- 3 1.00000+ 1 1.00000+ 1 2.89651- 4 2.97900- 3 1.00000+ 1 1.10000+ 1 4.76627- 2 3.05420- 3 1.00000+ 1 1.30000+ 1 3.03160- 3 3.30456- 3 1.00000+ 1 1.40000+ 1 2.72625- 2 3.32071- 3 1.00000+ 1 1.60000+ 1 1.72045- 4 3.85485- 3 1.00000+ 1 1.80000+ 1 1.00113- 4 3.90699- 3 1.00000+ 1 1.90000+ 1 7.00024- 3 3.92285- 3 1.00000+ 1 2.10000+ 1 4.71405- 4 4.00904- 3 1.00000+ 1 2.20000+ 1 3.67599- 3 4.01174- 3 1.00000+ 1 2.70000+ 1 2.81879- 5 4.07281- 3 1.00000+ 1 2.90000+ 1 1.36076- 5 4.08690- 3 1.00000+ 1 3.00000+ 1 8.82555- 4 4.08920- 3 1.00000+ 1 4.10000+ 1 2.91597- 6 4.10656- 3 1.10000+ 1 1.10000+ 1 6.64652- 2 3.12940- 3 1.10000+ 1 1.30000+ 1 6.70973- 2 3.37976- 3 1.10000+ 1 1.40000+ 1 1.00166- 1 3.39591- 3 1.10000+ 1 1.60000+ 1 6.42000- 3 3.93005- 3 1.10000+ 1 1.80000+ 1 9.44380- 3 3.98219- 3 1.10000+ 1 1.90000+ 1 2.31157- 2 3.99805- 3 1.10000+ 1 2.10000+ 1 1.07766- 2 4.08424- 3 1.10000+ 1 2.20000+ 1 1.59039- 2 4.08694- 3 1.10000+ 1 2.70000+ 1 1.07797- 3 4.14801- 3 1.10000+ 1 2.90000+ 1 1.28402- 3 4.16210- 3 1.10000+ 1 3.00000+ 1 3.00919- 3 4.16440- 3 1.10000+ 1 4.10000+ 1 1.02061- 4 4.18176- 3 1.30000+ 1 1.30000+ 1 9.62934- 3 3.63012- 3 1.30000+ 1 1.40000+ 1 1.84674- 1 3.64627- 3 1.30000+ 1 1.60000+ 1 5.93880- 4 4.18041- 3 1.30000+ 1 1.80000+ 1 5.99706- 4 4.23255- 3 1.30000+ 1 1.90000+ 1 9.19103- 3 4.24841- 3 1.30000+ 1 2.10000+ 1 2.74878- 3 4.33460- 3 1.30000+ 1 2.20000+ 1 2.26892- 2 4.33730- 3 1.30000+ 1 2.70000+ 1 9.81665- 5 4.39837- 3 1.30000+ 1 2.90000+ 1 8.16458- 5 4.41246- 3 1.30000+ 1 3.00000+ 1 1.14601- 3 4.41476- 3 1.30000+ 1 4.10000+ 1 9.71986- 6 4.43212- 3 1.40000+ 1 1.40000+ 1 1.25081- 1 3.66242- 3 1.40000+ 1 1.60000+ 1 7.23191- 4 4.19656- 3 1.40000+ 1 1.80000+ 1 5.02640- 3 4.24870- 3 1.40000+ 1 1.90000+ 1 1.53258- 2 4.26456- 3 1.40000+ 1 2.10000+ 1 2.66381- 2 4.35075- 3 1.40000+ 1 2.20000+ 1 3.42446- 2 4.35345- 3 1.40000+ 1 2.70000+ 1 1.21502- 4 4.41452- 3 1.40000+ 1 2.90000+ 1 6.74578- 4 4.42861- 3 1.40000+ 1 3.00000+ 1 1.95468- 3 4.43091- 3 1.40000+ 1 4.10000+ 1 1.16643- 5 4.44827- 3 1.60000+ 1 1.60000+ 1 4.13006- 5 4.73070- 3 1.60000+ 1 1.80000+ 1 3.04851- 5 4.78284- 3 1.60000+ 1 1.90000+ 1 9.23375- 4 4.79870- 3 1.60000+ 1 2.10000+ 1 5.80195- 5 4.88489- 3 1.60000+ 1 2.20000+ 1 6.49030- 5 4.88759- 3 1.60000+ 1 2.70000+ 1 1.37673- 5 4.94866- 3 1.60000+ 1 2.90000+ 1 3.93341- 6 4.96275- 3 1.60000+ 1 3.00000+ 1 1.16040- 4 4.96505- 3 1.60000+ 1 4.10000+ 1 9.83408- 7 4.98241- 3 1.80000+ 1 1.80000+ 1 7.25826- 6 4.83498- 3 1.80000+ 1 1.90000+ 1 1.29282- 3 4.85084- 3 1.80000+ 1 2.10000+ 1 8.52812- 5 4.93703- 3 1.80000+ 1 2.20000+ 1 6.52298- 4 4.93973- 3 1.80000+ 1 2.70000+ 1 4.53620- 6 5.00080- 3 1.80000+ 1 2.90000+ 1 1.81458- 6 5.01489- 3 1.80000+ 1 3.00000+ 1 1.63308- 4 5.01719- 3 1.90000+ 1 1.90000+ 1 1.74410- 3 4.86670- 3 1.90000+ 1 2.10000+ 1 1.32635- 3 4.95289- 3 1.90000+ 1 2.20000+ 1 2.15743- 3 4.95559- 3 1.90000+ 1 2.70000+ 1 1.37781- 4 5.01666- 3 1.90000+ 1 2.90000+ 1 1.69174- 4 5.03075- 3 1.90000+ 1 3.00000+ 1 4.51710- 4 5.03305- 3 1.90000+ 1 4.10000+ 1 1.30808- 5 5.05041- 3 2.10000+ 1 2.10000+ 1 1.90939- 4 5.03908- 3 2.10000+ 1 2.20000+ 1 3.35937- 3 5.04178- 3 2.10000+ 1 2.70000+ 1 9.69247- 6 5.10285- 3 2.10000+ 1 2.90000+ 1 1.25999- 5 5.11694- 3 2.10000+ 1 3.00000+ 1 1.84153- 4 5.11924- 3 2.10000+ 1 4.10000+ 1 9.69247- 7 5.13660- 3 2.20000+ 1 2.20000+ 1 2.45300- 3 5.04448- 3 2.20000+ 1 2.70000+ 1 1.11410- 5 5.10555- 3 2.20000+ 1 2.90000+ 1 9.82365- 5 5.11964- 3 2.20000+ 1 3.00000+ 1 3.19030- 4 5.12194- 3 2.20000+ 1 4.10000+ 1 1.01282- 6 5.13930- 3 2.70000+ 1 2.70000+ 1 1.14485- 6 5.16662- 3 2.70000+ 1 2.90000+ 1 1.14485- 6 5.18071- 3 2.70000+ 1 3.00000+ 1 2.28974- 5 5.18301- 3 2.90000+ 1 3.00000+ 1 2.46271- 5 5.19710- 3 3.00000+ 1 3.00000+ 1 3.45615- 5 5.19940- 3 3.00000+ 1 4.10000+ 1 2.09467- 6 5.21676- 3 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.21716- 5 1.41200- 4 1.10000+ 1 9.09584- 5 2.16400- 4 1.80000+ 1 2.60402- 4 1.06919- 3 1.90000+ 1 3.45504- 4 1.08505- 3 2.90000+ 1 4.24306- 5 1.24910- 3 3.00000+ 1 5.71172- 5 1.25140- 3 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 8.87193- 2 3.90400- 5 1.00000+ 1 2.20000+ 1 1.22412- 1 4.17400- 5 1.00000+ 1 2.70000+ 1 1.03487- 2 1.02810- 4 1.00000+ 1 2.90000+ 1 8.49132- 3 1.16900- 4 1.00000+ 1 3.00000+ 1 1.42668- 2 1.19200- 4 1.00000+ 1 4.10000+ 1 9.58607- 4 1.36560- 4 1.10000+ 1 1.80000+ 1 9.26368- 2 1.21900- 5 1.10000+ 1 1.90000+ 1 1.41741- 1 2.80500- 5 1.10000+ 1 2.10000+ 1 6.52001- 2 1.14240- 4 1.10000+ 1 2.20000+ 1 9.47410- 2 1.16940- 4 1.10000+ 1 2.70000+ 1 1.39940- 2 1.78010- 4 1.10000+ 1 2.90000+ 1 1.18148- 2 1.92100- 4 1.10000+ 1 3.00000+ 1 1.79806- 2 1.94400- 4 1.10000+ 1 4.10000+ 1 1.31879- 3 2.11760- 4 1.30000+ 1 1.60000+ 1 3.46182- 2 2.10410- 4 1.30000+ 1 1.80000+ 1 7.43480- 3 2.62550- 4 1.30000+ 1 1.90000+ 1 5.93861- 3 2.78410- 4 1.30000+ 1 2.10000+ 1 9.95766- 3 3.64600- 4 1.30000+ 1 2.20000+ 1 1.23400- 2 3.67300- 4 1.30000+ 1 2.70000+ 1 3.96826- 3 4.28370- 4 1.30000+ 1 2.90000+ 1 8.05301- 4 4.42460- 4 1.30000+ 1 3.00000+ 1 6.16336- 4 4.44760- 4 1.30000+ 1 4.10000+ 1 3.55399- 4 4.62120- 4 1.40000+ 1 1.60000+ 1 5.04611- 2 2.26560- 4 1.40000+ 1 1.80000+ 1 1.78388- 3 2.78700- 4 1.40000+ 1 1.90000+ 1 1.45220- 2 2.94560- 4 1.40000+ 1 2.10000+ 1 1.30363- 2 3.80750- 4 1.40000+ 1 2.20000+ 1 2.03070- 2 3.83450- 4 1.40000+ 1 2.70000+ 1 5.75043- 3 4.44520- 4 1.40000+ 1 2.90000+ 1 1.82344- 4 4.58610- 4 1.40000+ 1 3.00000+ 1 1.51210- 3 4.60910- 4 1.40000+ 1 4.10000+ 1 5.14428- 4 4.78270- 4 1.60000+ 1 1.60000+ 1 7.59099- 3 7.60700- 4 1.60000+ 1 1.80000+ 1 1.24083- 2 8.12840- 4 1.60000+ 1 1.90000+ 1 2.27799- 2 8.28700- 4 1.60000+ 1 2.10000+ 1 2.32863- 2 9.14890- 4 1.60000+ 1 2.20000+ 1 3.39289- 2 9.17590- 4 1.60000+ 1 2.70000+ 1 2.10883- 3 9.78660- 4 1.60000+ 1 2.90000+ 1 1.67974- 3 9.92750- 4 1.60000+ 1 3.00000+ 1 3.01144- 3 9.95050- 4 1.60000+ 1 4.10000+ 1 1.95169- 4 1.01241- 3 1.80000+ 1 1.80000+ 1 6.41761- 4 8.64980- 4 1.80000+ 1 1.90000+ 1 1.57978- 3 8.80840- 4 1.80000+ 1 2.10000+ 1 9.57554- 4 9.67030- 4 1.80000+ 1 2.20000+ 1 3.83841- 4 9.69730- 4 1.80000+ 1 2.70000+ 1 1.28485- 3 1.03080- 3 1.80000+ 1 2.90000+ 1 1.41412- 4 1.04489- 3 1.80000+ 1 3.00000+ 1 1.65651- 4 1.04719- 3 1.80000+ 1 4.10000+ 1 1.15148- 4 1.06455- 3 1.90000+ 1 1.90000+ 1 2.03042- 3 8.96700- 4 1.90000+ 1 2.10000+ 1 9.71460- 4 9.82890- 4 1.90000+ 1 2.20000+ 1 2.63980- 3 9.85590- 4 1.90000+ 1 2.70000+ 1 2.26140- 3 1.04666- 3 1.90000+ 1 2.90000+ 1 1.71776- 4 1.06075- 3 1.90000+ 1 3.00000+ 1 4.52286- 4 1.06305- 3 1.90000+ 1 4.10000+ 1 2.02015- 4 1.08041- 3 2.10000+ 1 2.10000+ 1 2.84378- 4 1.06908- 3 2.10000+ 1 2.20000+ 1 1.10407- 3 1.07178- 3 2.10000+ 1 2.70000+ 1 2.41276- 3 1.13285- 3 2.10000+ 1 2.90000+ 1 9.82000- 5 1.14694- 3 2.10000+ 1 3.00000+ 1 1.06386- 4 1.14924- 3 2.10000+ 1 4.10000+ 1 2.15498- 4 1.16660- 3 2.20000+ 1 2.20000+ 1 6.88028- 4 1.07448- 3 2.20000+ 1 2.70000+ 1 3.46437- 3 1.13555- 3 2.20000+ 1 2.90000+ 1 3.76648- 5 1.14964- 3 2.20000+ 1 3.00000+ 1 2.87853- 4 1.15194- 3 2.20000+ 1 4.10000+ 1 3.08716- 4 1.16930- 3 2.70000+ 1 2.70000+ 1 8.73578- 5 1.19662- 3 2.70000+ 1 2.90000+ 1 1.17842- 4 1.21071- 3 2.70000+ 1 3.00000+ 1 2.11564- 4 1.21301- 3 2.70000+ 1 4.10000+ 1 1.59243- 5 1.23037- 3 2.90000+ 1 2.90000+ 1 2.49023- 6 1.22480- 3 2.90000+ 1 3.00000+ 1 6.11249- 6 1.22710- 3 2.90000+ 1 4.10000+ 1 5.20695- 6 1.24446- 3 3.00000+ 1 3.00000+ 1 9.60807- 6 1.22940- 3 3.00000+ 1 4.10000+ 1 1.06190- 5 1.24676- 3 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.33458- 4 3.25560- 4 1.60000+ 1 3.23610- 4 8.75850- 4 2.10000+ 1 1.35284- 3 1.03004- 3 2.70000+ 1 5.37662- 5 1.09381- 3 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.70000+ 1 9.36917- 3 3.68100- 5 1.10000+ 1 2.90000+ 1 8.81307- 3 5.09000- 5 1.10000+ 1 3.00000+ 1 1.04938- 2 5.32000- 5 1.10000+ 1 4.10000+ 1 8.07454- 4 7.05600- 5 1.30000+ 1 1.60000+ 1 1.28188- 1 6.92100- 5 1.30000+ 1 1.80000+ 1 1.29470- 1 1.21350- 4 1.30000+ 1 1.90000+ 1 1.87231- 1 1.37210- 4 1.30000+ 1 2.10000+ 1 5.57667- 2 2.23400- 4 1.30000+ 1 2.20000+ 1 6.12164- 2 2.26100- 4 1.30000+ 1 2.70000+ 1 2.15811- 2 2.87170- 4 1.30000+ 1 2.90000+ 1 1.53423- 2 3.01260- 4 1.30000+ 1 3.00000+ 1 2.37217- 2 3.03560- 4 1.30000+ 1 4.10000+ 1 2.01743- 3 3.20920- 4 1.40000+ 1 1.60000+ 1 2.16521- 2 8.53600- 5 1.40000+ 1 1.80000+ 1 1.54943- 1 1.37500- 4 1.40000+ 1 1.90000+ 1 1.60774- 2 1.53360- 4 1.40000+ 1 2.10000+ 1 3.12470- 3 2.39550- 4 1.40000+ 1 2.20000+ 1 7.34020- 3 2.42250- 4 1.40000+ 1 2.70000+ 1 2.44696- 3 3.03320- 4 1.40000+ 1 2.90000+ 1 1.51440- 2 3.17410- 4 1.40000+ 1 3.00000+ 1 1.85664- 3 3.19710- 4 1.40000+ 1 4.10000+ 1 2.20822- 4 3.37070- 4 1.60000+ 1 1.60000+ 1 7.08938- 4 6.19500- 4 1.60000+ 1 1.80000+ 1 1.00050- 2 6.71640- 4 1.60000+ 1 1.90000+ 1 1.63283- 3 6.87500- 4 1.60000+ 1 2.10000+ 1 3.55326- 4 7.73690- 4 1.60000+ 1 2.20000+ 1 1.09532- 3 7.76390- 4 1.60000+ 1 2.70000+ 1 1.86871- 4 8.37460- 4 1.60000+ 1 2.90000+ 1 9.27429- 4 8.51550- 4 1.60000+ 1 3.00000+ 1 1.94339- 4 8.53850- 4 1.60000+ 1 4.10000+ 1 1.66742- 5 8.71210- 4 1.80000+ 1 1.80000+ 1 7.38929- 3 7.23780- 4 1.80000+ 1 1.90000+ 1 2.29982- 2 7.39640- 4 1.80000+ 1 2.10000+ 1 2.05189- 2 8.25830- 4 1.80000+ 1 2.20000+ 1 3.41183- 2 8.28530- 4 1.80000+ 1 2.70000+ 1 1.70771- 3 8.89600- 4 1.80000+ 1 2.90000+ 1 1.70715- 3 9.03690- 4 1.80000+ 1 3.00000+ 1 3.01982- 3 9.05990- 4 1.80000+ 1 4.10000+ 1 1.60688- 4 9.23350- 4 1.90000+ 1 1.90000+ 1 6.79118- 4 7.55500- 4 1.90000+ 1 2.10000+ 1 2.12524- 3 8.41690- 4 1.90000+ 1 2.20000+ 1 1.57637- 3 8.44390- 4 1.90000+ 1 2.70000+ 1 2.06573- 4 9.05460- 4 1.90000+ 1 2.90000+ 1 2.37568- 3 9.19550- 4 1.90000+ 1 3.00000+ 1 1.50407- 4 9.21850- 4 1.90000+ 1 4.10000+ 1 1.87210- 5 9.39210- 4 2.10000+ 1 2.10000+ 1 6.66010- 4 9.27880- 4 2.10000+ 1 2.20000+ 1 1.75479- 3 9.30580- 4 2.10000+ 1 2.70000+ 1 5.04227- 5 9.91650- 4 2.10000+ 1 2.90000+ 1 1.78309- 3 1.00574- 3 2.10000+ 1 3.00000+ 1 2.00026- 4 1.00804- 3 2.10000+ 1 4.10000+ 1 4.98690- 6 1.02540- 3 2.20000+ 1 2.20000+ 1 2.58893- 4 9.33280- 4 2.20000+ 1 2.70000+ 1 8.17570- 5 9.94350- 4 2.20000+ 1 2.90000+ 1 1.84971- 3 1.00844- 3 2.20000+ 1 3.00000+ 1 8.55011- 5 1.01074- 3 2.20000+ 1 4.10000+ 1 7.49438- 6 1.02810- 3 2.70000+ 1 2.70000+ 1 8.45051- 6 1.05542- 3 2.70000+ 1 2.90000+ 1 1.07848- 4 1.06951- 3 2.70000+ 1 3.00000+ 1 1.52919- 5 1.07181- 3 2.70000+ 1 4.10000+ 1 1.60968- 6 1.08917- 3 2.90000+ 1 2.90000+ 1 6.07523- 5 1.08360- 3 2.90000+ 1 3.00000+ 1 1.84937- 4 1.08590- 3 2.90000+ 1 4.10000+ 1 9.55222- 6 1.10326- 3 3.00000+ 1 3.00000+ 1 4.87452- 6 1.08820- 3 3.00000+ 1 4.10000+ 1 1.12487- 6 1.10556- 3 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.04260- 5 2.50360- 4 1.40000+ 1 2.27508- 4 2.66510- 4 1.60000+ 1 3.99742- 4 8.00650- 4 2.10000+ 1 1.63434- 4 9.54840- 4 2.20000+ 1 1.34654- 3 9.57540- 4 2.70000+ 1 6.58525- 5 1.01861- 3 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60000+ 1 2.32097- 2 0.00000+ 0 1.30000+ 1 1.80000+ 1 1.72299- 2 4.61500- 5 1.30000+ 1 1.90000+ 1 9.76230- 2 6.20100- 5 1.30000+ 1 2.10000+ 1 1.31104- 2 1.48200- 4 1.30000+ 1 2.20000+ 1 9.89727- 3 1.50900- 4 1.30000+ 1 2.70000+ 1 3.20952- 3 2.11970- 4 1.30000+ 1 2.90000+ 1 2.16983- 3 2.26060- 4 1.30000+ 1 3.00000+ 1 1.01021- 2 2.28360- 4 1.30000+ 1 4.10000+ 1 2.95847- 4 2.45720- 4 1.40000+ 1 1.60000+ 1 1.11772- 1 1.01600- 5 1.40000+ 1 1.80000+ 1 1.15537- 1 6.23000- 5 1.40000+ 1 1.90000+ 1 2.21743- 1 7.81600- 5 1.40000+ 1 2.10000+ 1 5.30239- 2 1.64350- 4 1.40000+ 1 2.20000+ 1 8.63254- 2 1.67050- 4 1.40000+ 1 2.70000+ 1 1.84769- 2 2.28120- 4 1.40000+ 1 2.90000+ 1 1.47548- 2 2.42210- 4 1.40000+ 1 3.00000+ 1 2.56930- 2 2.44510- 4 1.40000+ 1 4.10000+ 1 1.72129- 3 2.61870- 4 1.60000+ 1 1.60000+ 1 7.77212- 4 5.44300- 4 1.60000+ 1 1.80000+ 1 1.13743- 3 5.96440- 4 1.60000+ 1 1.90000+ 1 1.65053- 2 6.12300- 4 1.60000+ 1 2.10000+ 1 9.85710- 4 6.98490- 4 1.60000+ 1 2.20000+ 1 1.07218- 3 7.01190- 4 1.60000+ 1 2.70000+ 1 2.04245- 4 7.62260- 4 1.60000+ 1 2.90000+ 1 1.28829- 4 7.76350- 4 1.60000+ 1 3.00000+ 1 1.52560- 3 7.78650- 4 1.60000+ 1 4.10000+ 1 1.86463- 5 7.96010- 4 1.80000+ 1 1.80000+ 1 1.85078- 4 6.48580- 4 1.80000+ 1 1.90000+ 1 1.94900- 2 6.64440- 4 1.80000+ 1 2.10000+ 1 5.31562- 4 7.50630- 4 1.80000+ 1 2.20000+ 1 3.22440- 3 7.53330- 4 1.80000+ 1 2.70000+ 1 1.37713- 4 8.14400- 4 1.80000+ 1 2.90000+ 1 3.94719- 5 8.28490- 4 1.80000+ 1 3.00000+ 1 1.81831- 3 8.30790- 4 1.80000+ 1 4.10000+ 1 1.22802- 5 8.48150- 4 1.90000+ 1 1.90000+ 1 2.54000- 2 6.80300- 4 1.90000+ 1 2.10000+ 1 3.30729- 2 7.66490- 4 1.90000+ 1 2.20000+ 1 4.49486- 2 7.69190- 4 1.90000+ 1 2.70000+ 1 2.47840- 3 8.30260- 4 1.90000+ 1 2.90000+ 1 2.32127- 3 8.44350- 4 1.90000+ 1 3.00000+ 1 5.70139- 3 8.46650- 4 1.90000+ 1 4.10000+ 1 2.33001- 4 8.64010- 4 2.10000+ 1 2.10000+ 1 1.91977- 4 8.52680- 4 2.10000+ 1 2.20000+ 1 2.50471- 3 8.55380- 4 2.10000+ 1 2.70000+ 1 7.87560- 5 9.16450- 4 2.10000+ 1 2.90000+ 1 3.32263- 5 9.30540- 4 2.10000+ 1 3.00000+ 1 2.41369- 3 9.32840- 4 2.10000+ 1 4.10000+ 1 7.38348- 6 9.50200- 4 2.20000+ 1 2.20000+ 1 1.17943- 3 8.58080- 4 2.20000+ 1 2.70000+ 1 7.43147- 5 9.19150- 4 2.20000+ 1 2.90000+ 1 1.69861- 4 9.33240- 4 2.20000+ 1 3.00000+ 1 2.67420- 3 9.35540- 4 2.20000+ 1 4.10000+ 1 6.57209- 6 9.52900- 4 2.70000+ 1 2.70000+ 1 8.60724- 6 9.80220- 4 2.70000+ 1 2.90000+ 1 9.68308- 6 9.94310- 4 2.70000+ 1 3.00000+ 1 1.57073- 4 9.96610- 4 2.70000+ 1 4.10000+ 1 1.61383- 6 1.01397- 3 2.90000+ 1 2.90000+ 1 1.16403- 6 1.00840- 3 2.90000+ 1 3.00000+ 1 1.61801- 4 1.01070- 3 2.90000+ 1 4.10000+ 1 1.16403- 6 1.02806- 3 3.00000+ 1 3.00000+ 1 2.40133- 4 1.01300- 3 3.00000+ 1 4.10000+ 1 1.64143- 5 1.03036- 3 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.41782- 3 6.02430- 4 1.90000+ 1 3.73993- 4 6.18290- 4 2.90000+ 1 3.39423- 4 7.82340- 4 3.00000+ 1 5.17224- 5 7.84640- 4 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 4.10000+ 1 1.63611- 3 1.15100- 5 1.60000+ 1 1.60000+ 1 4.20596- 6 2.93940- 4 1.60000+ 1 1.80000+ 1 5.21523- 3 3.46080- 4 1.60000+ 1 1.90000+ 1 3.99140- 3 3.61940- 4 1.60000+ 1 2.10000+ 1 1.09776- 1 4.48130- 4 1.60000+ 1 2.20000+ 1 1.50155- 2 4.50830- 4 1.60000+ 1 2.70000+ 1 2.94401- 5 5.11900- 4 1.60000+ 1 2.90000+ 1 5.55163- 4 5.25990- 4 1.60000+ 1 3.00000+ 1 3.19638- 4 5.28290- 4 1.60000+ 1 4.10000+ 1 4.20596- 6 5.45650- 4 1.80000+ 1 1.80000+ 1 1.99777- 3 3.98220- 4 1.80000+ 1 1.90000+ 1 1.67942- 2 4.14080- 4 1.80000+ 1 2.10000+ 1 8.95379- 2 5.00270- 4 1.80000+ 1 2.20000+ 1 7.85656- 3 5.02970- 4 1.80000+ 1 2.70000+ 1 4.66852- 4 5.64040- 4 1.80000+ 1 2.90000+ 1 4.62647- 4 5.78130- 4 1.80000+ 1 3.00000+ 1 1.65297- 3 5.80430- 4 1.80000+ 1 4.10000+ 1 4.20595- 5 5.97790- 4 1.90000+ 1 1.90000+ 1 6.41800- 3 4.29940- 4 1.90000+ 1 2.10000+ 1 1.97613- 1 5.16130- 4 1.90000+ 1 2.20000+ 1 7.47780- 3 5.18830- 4 1.90000+ 1 2.70000+ 1 4.28985- 4 5.79900- 4 1.90000+ 1 2.90000+ 1 1.63184- 3 5.93990- 4 1.90000+ 1 3.00000+ 1 1.22381- 3 5.96290- 4 1.90000+ 1 4.10000+ 1 3.78513- 5 6.13650- 4 2.10000+ 1 2.10000+ 1 1.52023- 1 6.02320- 4 2.10000+ 1 2.20000+ 1 3.12500- 1 6.05020- 4 2.10000+ 1 2.70000+ 1 1.59062- 2 6.66090- 4 2.10000+ 1 2.90000+ 1 1.16886- 2 6.80180- 4 2.10000+ 1 3.00000+ 1 2.46050- 2 6.82480- 4 2.10000+ 1 4.10000+ 1 1.48100- 3 6.99840- 4 2.20000+ 1 2.20000+ 1 5.26977- 3 6.07720- 4 2.20000+ 1 2.70000+ 1 1.23649- 3 6.68790- 4 2.20000+ 1 2.90000+ 1 7.06572- 4 6.82880- 4 2.20000+ 1 3.00000+ 1 7.78074- 4 6.85180- 4 2.20000+ 1 4.10000+ 1 1.09349- 4 7.02540- 4 2.70000+ 1 2.90000+ 1 5.58000- 5 7.43950- 4 2.70000+ 1 3.00000+ 1 3.58717- 5 7.46250- 4 2.90000+ 1 2.90000+ 1 2.08547- 5 7.58040- 4 2.90000+ 1 3.00000+ 1 1.22147- 4 7.60340- 4 2.90000+ 1 4.10000+ 1 2.97940- 6 7.77700- 4 3.00000+ 1 3.00000+ 1 8.01193- 5 7.62640- 4 3.00000+ 1 4.10000+ 1 5.34138- 6 7.80000- 4 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.59409- 3 6.02140- 4 3.00000+ 1 3.58259- 4 7.68490- 4 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 4.46940- 5 2.77790- 4 1.60000+ 1 1.80000+ 1 1.91368- 3 3.29930- 4 1.60000+ 1 1.90000+ 1 7.78058- 3 3.45790- 4 1.60000+ 1 2.10000+ 1 1.09010- 2 4.31980- 4 1.60000+ 1 2.20000+ 1 1.13458- 1 4.34680- 4 1.60000+ 1 2.70000+ 1 2.84399- 5 4.95750- 4 1.60000+ 1 2.90000+ 1 1.09699- 4 5.09840- 4 1.60000+ 1 3.00000+ 1 7.39458- 4 5.12140- 4 1.60000+ 1 4.10000+ 1 4.06304- 6 5.29500- 4 1.80000+ 1 1.80000+ 1 4.06296- 6 3.82070- 4 1.80000+ 1 1.90000+ 1 1.62039- 2 3.97930- 4 1.80000+ 1 2.10000+ 1 1.16607- 3 4.84120- 4 1.80000+ 1 2.20000+ 1 1.07960- 1 4.86820- 4 1.80000+ 1 2.70000+ 1 1.74716- 4 5.47890- 4 1.80000+ 1 2.90000+ 1 4.06296- 6 5.61980- 4 1.80000+ 1 3.00000+ 1 1.56015- 3 5.64280- 4 1.80000+ 1 4.10000+ 1 1.62518- 5 5.81640- 4 1.90000+ 1 1.90000+ 1 1.23833- 2 4.13790- 4 1.90000+ 1 2.10000+ 1 9.97469- 3 4.99980- 4 1.90000+ 1 2.20000+ 1 1.77871- 1 5.02680- 4 1.90000+ 1 2.70000+ 1 7.88182- 4 5.63750- 4 1.90000+ 1 2.90000+ 1 1.49097- 3 5.77840- 4 1.90000+ 1 3.00000+ 1 2.46201- 3 5.80140- 4 1.90000+ 1 4.10000+ 1 6.90669- 5 5.97500- 4 2.10000+ 1 2.10000+ 1 2.09236- 3 5.86170- 4 2.10000+ 1 2.20000+ 1 2.18023- 1 5.88870- 4 2.10000+ 1 2.70000+ 1 8.81602- 4 6.49940- 4 2.10000+ 1 2.90000+ 1 1.54381- 4 6.64030- 4 2.10000+ 1 3.00000+ 1 9.30353- 4 6.66330- 4 2.10000+ 1 4.10000+ 1 7.71908- 5 6.83690- 4 2.20000+ 1 2.20000+ 1 2.52236- 1 5.91570- 4 2.20000+ 1 2.70000+ 1 1.64344- 2 6.52640- 4 2.20000+ 1 2.90000+ 1 1.40097- 2 6.66730- 4 2.20000+ 1 3.00000+ 1 2.30213- 2 6.69030- 4 2.20000+ 1 4.10000+ 1 1.52764- 3 6.86390- 4 2.70000+ 1 2.90000+ 1 1.31809- 5 7.27800- 4 2.70000+ 1 3.00000+ 1 1.31809- 4 7.30100- 4 2.90000+ 1 3.00000+ 1 1.85999- 4 7.44190- 4 3.00000+ 1 3.00000+ 1 2.06512- 4 7.46490- 4 3.00000+ 1 4.10000+ 1 1.29071- 5 7.63850- 4 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.14550- 5 5.21400- 5 1.90000+ 1 4.87369- 5 6.80000- 5 2.90000+ 1 1.54913- 5 2.32050- 4 3.00000+ 1 1.49497- 5 2.34350- 4 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.70000+ 1 7.18217- 2 1.37500- 5 1.80000+ 1 2.90000+ 1 5.27204- 2 2.78400- 5 1.80000+ 1 3.00000+ 1 1.18005- 1 3.01400- 5 1.80000+ 1 4.10000+ 1 6.41486- 3 4.75000- 5 1.90000+ 1 2.70000+ 1 1.08661- 1 2.96100- 5 1.90000+ 1 2.90000+ 1 1.07356- 1 4.37000- 5 1.90000+ 1 3.00000+ 1 1.51144- 1 4.60000- 5 1.90000+ 1 4.10000+ 1 9.67194- 3 6.33600- 5 2.10000+ 1 2.10000+ 1 6.05781- 3 5.20300- 5 2.10000+ 1 2.20000+ 1 6.24046- 2 5.47300- 5 2.10000+ 1 2.70000+ 1 3.18686- 2 1.15800- 4 2.10000+ 1 2.90000+ 1 5.62512- 3 1.29890- 4 2.10000+ 1 3.00000+ 1 2.24423- 2 1.32190- 4 2.10000+ 1 4.10000+ 1 2.42238- 3 1.49550- 4 2.20000+ 1 2.20000+ 1 2.45898- 2 5.74300- 5 2.20000+ 1 2.70000+ 1 4.65357- 2 1.18500- 4 2.20000+ 1 2.90000+ 1 1.95585- 2 1.32590- 4 2.20000+ 1 3.00000+ 1 2.04017- 2 1.34890- 4 2.20000+ 1 4.10000+ 1 3.53511- 3 1.52250- 4 2.70000+ 1 2.70000+ 1 1.36981- 2 1.79570- 4 2.70000+ 1 2.90000+ 1 1.64656- 2 1.93660- 4 2.70000+ 1 3.00000+ 1 2.95147- 2 1.95960- 4 2.70000+ 1 4.10000+ 1 2.25702- 3 2.13320- 4 2.90000+ 1 2.90000+ 1 5.67202- 3 2.07750- 4 2.90000+ 1 3.00000+ 1 2.55543- 2 2.10050- 4 2.90000+ 1 4.10000+ 1 5.05090- 3 2.27410- 4 3.00000+ 1 3.00000+ 1 2.13146- 2 2.12350- 4 3.00000+ 1 4.10000+ 1 9.14662- 3 2.29710- 4 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.25750- 4 1.02050- 4 2.70000+ 1 2.07930- 5 1.65820- 4 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 4.10000+ 1 8.60480- 4 1.12200- 5 2.10000+ 1 2.10000+ 1 1.34526- 1 0.00000+ 0 2.10000+ 1 2.20000+ 1 7.15290- 1 2.59000- 6 2.10000+ 1 2.70000+ 1 2.82156- 2 6.36600- 5 2.10000+ 1 2.90000+ 1 1.98396- 2 7.77500- 5 2.10000+ 1 3.00000+ 1 4.01339- 2 8.00500- 5 2.10000+ 1 4.10000+ 1 2.68451- 3 9.74100- 5 2.20000+ 1 2.20000+ 1 2.58571- 2 5.29000- 6 2.20000+ 1 2.70000+ 1 4.20779- 3 6.63600- 5 2.20000+ 1 2.90000+ 1 1.92094- 2 8.04500- 5 2.20000+ 1 3.00000+ 1 4.54654- 3 8.27500- 5 2.20000+ 1 4.10000+ 1 3.44117- 4 1.00110- 4 2.70000+ 1 2.70000+ 1 4.25953- 5 1.27430- 4 2.70000+ 1 2.90000+ 1 9.56923- 4 1.41520- 4 2.70000+ 1 3.00000+ 1 1.35695- 4 1.43820- 4 2.70000+ 1 4.10000+ 1 6.88686- 6 1.61180- 4 2.90000+ 1 2.90000+ 1 7.07435- 4 1.55610- 4 2.90000+ 1 3.00000+ 1 2.08875- 3 1.57910- 4 2.90000+ 1 4.10000+ 1 1.20213- 4 1.75270- 4 3.00000+ 1 3.00000+ 1 6.78120- 5 1.60210- 4 3.00000+ 1 4.10000+ 1 1.19769- 5 1.77570- 4 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.22958- 6 8.61900- 5 2.20000+ 1 3.38658- 5 8.88900- 5 2.70000+ 1 8.06314- 6 1.49960- 4 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.70000+ 1 4.09744- 2 4.78000- 5 2.10000+ 1 2.90000+ 1 3.10756- 2 6.18900- 5 2.10000+ 1 3.00000+ 1 1.30577- 1 6.41900- 5 2.10000+ 1 4.10000+ 1 3.79204- 3 8.15500- 5 2.20000+ 1 2.70000+ 1 2.17883- 1 5.05000- 5 2.20000+ 1 2.90000+ 1 2.10287- 1 6.45900- 5 2.20000+ 1 3.00000+ 1 3.41679- 1 6.68900- 5 2.20000+ 1 4.10000+ 1 2.11358- 2 8.42500- 5 2.70000+ 1 2.70000+ 1 6.07223- 6 1.11570- 4 2.70000+ 1 2.90000+ 1 5.92015- 5 1.25660- 4 2.70000+ 1 3.00000+ 1 1.14998- 3 1.27960- 4 2.70000+ 1 4.10000+ 1 1.24203- 6 1.45320- 4 2.90000+ 1 2.90000+ 1 5.78690- 6 1.39750- 4 2.90000+ 1 3.00000+ 1 4.83217- 4 1.42050- 4 2.90000+ 1 4.10000+ 1 2.01294- 6 1.59410- 4 3.00000+ 1 3.00000+ 1 7.87035- 4 1.44350- 4 3.00000+ 1 4.10000+ 1 5.72488- 5 1.61710- 4 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.35730- 6 7.78600- 5 3.00000+ 1 2.33400- 7 8.01600- 5 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 1.53468- 1 2.53800- 5 2.70000+ 1 2.90000+ 1 6.78731- 2 3.94700- 5 2.70000+ 1 3.00000+ 1 8.76893- 2 4.17700- 5 2.70000+ 1 4.10000+ 1 1.50889- 2 5.91300- 5 2.90000+ 1 2.90000+ 1 1.41201- 1 5.35600- 5 2.90000+ 1 3.00000+ 1 3.80629- 1 5.58600- 5 2.90000+ 1 4.10000+ 1 1.38291- 2 7.32200- 5 3.00000+ 1 3.00000+ 1 1.30399- 1 5.81600- 5 3.00000+ 1 4.10000+ 1 9.82072- 3 7.55200- 5 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 1.62670- 6 7.74600- 5 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 1.95207- 1 2.26800- 5 2.70000+ 1 2.90000+ 1 4.90575- 2 3.67700- 5 2.70000+ 1 3.00000+ 1 1.35613- 1 3.90700- 5 2.70000+ 1 4.10000+ 1 1.86613- 2 5.64300- 5 2.90000+ 1 2.90000+ 1 3.07522- 2 5.08600- 5 2.90000+ 1 3.00000+ 1 2.78701- 1 5.31600- 5 2.90000+ 1 4.10000+ 1 5.21656- 3 7.05200- 5 3.00000+ 1 3.00000+ 1 2.68173- 1 5.54600- 5 3.00000+ 1 4.10000+ 1 1.86165- 2 7.28200- 5 1 56000 0 7 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 6.92429-11 1.40900- 5 3.00000+ 1 2.20280-10 1.63900- 5 1 56000 0 9 1.37330+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 3.82459- 1 9.45000- 6 3.00000+ 1 4.10000+ 1 6.09319- 1 1.17500- 5 4.10000+ 1 4.10000+ 1 8.22139- 3 2.91100- 5 1 57000 0 0 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000- 1 3.30000+ 1 6.00000- 1 4.10000+ 1 2.00000+ 0 1 57000 0 0 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.89430- 2 3.00000+ 0 6.24180- 3 5.00000+ 0 5.90250- 3 6.00000+ 0 5.48380- 3 8.00000+ 0 1.35040- 3 1.00000+ 1 1.20480- 3 1.10000+ 1 1.12270- 3 1.30000+ 1 8.64960- 4 1.40000+ 1 8.47280- 4 1.60000+ 1 2.79130- 4 1.80000+ 1 2.24730- 4 1.90000+ 1 2.07070- 4 2.10000+ 1 1.16830- 4 2.20000+ 1 1.13760- 4 2.70000+ 1 4.36500- 5 2.90000+ 1 2.83300- 5 3.00000+ 1 2.55900- 5 3.20000+ 1 5.58000- 6 3.30000+ 1 5.34000- 6 4.10000+ 1 5.14000- 6 1 57000 0 0 1.38905+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.00170- 2 3.00000+ 0 1.10770- 2 5.00000+ 0 1.10870- 2 6.00000+ 0 9.55640- 3 8.00000+ 0 3.31010- 3 1.00000+ 1 3.23500- 3 1.10000+ 1 2.88630- 3 1.30000+ 1 2.75630- 3 1.40000+ 1 2.67270- 3 1.60000+ 1 1.00470- 3 1.80000+ 1 9.31660- 4 1.90000+ 1 8.39040- 4 2.10000+ 1 6.93020- 4 2.20000+ 1 6.73050- 4 2.70000+ 1 2.30710- 4 2.90000+ 1 1.86100- 4 3.00000+ 1 1.65860- 4 3.20000+ 1 7.70300- 5 3.30000+ 1 7.37700- 5 4.10000+ 1 2.91000- 5 1 57000 0 0 1.38905+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.32450-10 3.00000+ 0 5.64180-10 5.00000+ 0 4.73430-10 6.00000+ 0 5.05480-10 8.00000+ 0 1.49790- 9 1.00000+ 1 1.44150- 9 1.10000+ 1 1.50490- 9 1.30000+ 1 1.34890- 9 1.40000+ 1 1.36850- 9 1.60000+ 1 3.42520- 9 1.80000+ 1 3.52220- 9 1.90000+ 1 3.66120- 9 2.10000+ 1 3.94650- 9 2.20000+ 1 3.99290- 9 2.70000+ 1 8.03210- 9 2.90000+ 1 8.93960- 9 3.00000+ 1 9.33730- 9 3.20000+ 1 1.40480- 8 3.30000+ 1 1.43340- 8 4.10000+ 1 2.31080- 8 1 57000 0 0 1.38905+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.24850- 5 3.00000+ 0 2.18590- 7 5.00000+ 0 3.68000- 7 6.00000+ 0 3.43770- 7 8.00000+ 0 6.23200- 9 1.00000+ 1 6.16690- 9 1.10000+ 1 6.23410- 9 1.30000+ 1 4.74190-10 1.40000+ 1 3.96320-10 1.60000+ 1 1.67940-10 1.80000+ 1 3.35830-10 1.90000+ 1 2.56230-10 2.10000+ 1 2.17920-11 2.20000+ 1 1.90690-11 2.70000+ 1 8.92610-12 1 57000 0 0 1.38905+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.28570- 6 3.00000+ 0 3.51580- 6 5.00000+ 0 2.79440- 6 6.00000+ 0 2.57950- 6 8.00000+ 0 1.21510- 5 1.00000+ 1 5.28330- 6 1.10000+ 1 6.11840- 6 1.30000+ 1 6.98020- 7 1.40000+ 1 7.04410- 7 1.60000+ 1 6.86550- 6 1.80000+ 1 5.77770- 6 1.90000+ 1 2.79360- 6 2.10000+ 1 9.46320- 8 2.20000+ 1 9.74580- 8 2.70000+ 1 6.20920- 7 1 57000 0 0 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.57087- 4 3.00000+ 0 3.01700- 4 5.00000+ 0 2.59085- 4 6.00000+ 0 2.45691- 4 8.00000+ 0 2.19982- 4 1.00000+ 1 1.87293- 4 1.10000+ 1 1.78709- 4 1.30000+ 1 1.17836- 4 1.40000+ 1 1.17250- 4 1.60000+ 1 9.61450- 5 1.80000+ 1 8.95869- 5 1.90000+ 1 7.75746- 5 2.10000+ 1 5.17237- 5 2.20000+ 1 5.10017- 5 2.70000+ 1 3.16210- 5 2.90000+ 1 2.83300- 5 3.00000+ 1 2.55900- 5 3.20000+ 1 5.58000- 6 3.30000+ 1 5.34000- 6 4.10000+ 1 5.14000- 6 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.02074+ 0 3.00000+ 0 1.25153- 1 5.00000+ 0 1.38077- 1 6.00000+ 0 1.17767- 1 8.00000+ 0 5.35368- 3 1.00000+ 1 5.64506- 3 1.10000+ 1 5.34814- 3 1.30000+ 1 3.76057- 3 1.40000+ 1 3.49498- 3 1.60000+ 1 1.66006- 4 1.80000+ 1 1.75641- 4 1.90000+ 1 5.56254- 5 2.10000+ 1 2.50719- 6 2.20000+ 1 2.55364- 6 2.70000+ 1 1.46569- 9 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.15894- 2 3.00000+ 0 5.99346- 4 5.00000+ 0 6.68171- 4 6.00000+ 0 5.25820- 4 8.00000+ 0 4.20274- 6 1.00000+ 1 4.27625- 6 1.10000+ 1 4.05774- 6 1.30000+ 1 2.47798- 6 1.40000+ 1 2.28577- 6 1.60000+ 1 2.10124- 8 1.80000+ 1 2.07718- 8 1.90000+ 1 5.87507- 9 2.10000+ 1 2.22848-10 2.20000+ 1 2.25109-10 2.70000+ 1 2.55401-14 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.11970+ 1 3.00000+ 0 1.33331+ 1 5.00000+ 0 1.12679+ 1 6.00000+ 0 1.06629+ 1 8.00000+ 0 9.46515+ 0 1.00000+ 1 7.88447+ 0 1.10000+ 1 7.50790+ 0 1.30000+ 1 4.52559+ 0 1.40000+ 1 4.58391+ 0 1.60000+ 1 3.61827+ 0 1.80000+ 1 3.34733+ 0 1.90000+ 1 2.66891+ 0 2.10000+ 1 1.35765+ 0 2.20000+ 1 1.44045+ 0 2.70000+ 1 1.00000+ 0 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.09655- 3 3.00000+ 0 5.34075- 3 5.00000+ 0 4.97524- 3 6.00000+ 0 4.71229- 3 8.00000+ 0 1.12621- 3 1.00000+ 1 1.01323- 3 1.10000+ 1 9.39934- 4 1.30000+ 1 7.44646- 4 1.40000+ 1 7.27745- 4 1.60000+ 1 1.82964- 4 1.80000+ 1 1.35122- 4 1.90000+ 1 1.29490- 4 2.10000+ 1 6.51060- 5 2.20000+ 1 6.27581- 5 2.70000+ 1 1.20290- 5 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.60460- 1 3.30405- 2 6.00000+ 0 4.78351- 1 3.34592- 2 1.00000+ 1 4.61051- 2 3.77382- 2 1.10000+ 1 8.93241- 2 3.78203- 2 1.30000+ 1 5.23301- 4 3.80780- 2 1.40000+ 1 7.07811- 4 3.80957- 2 1.80000+ 1 9.78351- 3 3.87183- 2 1.90000+ 1 1.90470- 2 3.87359- 2 2.10000+ 1 1.10460- 4 3.88262- 2 2.20000+ 1 1.49380- 4 3.88292- 2 2.90000+ 1 1.53260- 3 3.89147- 2 3.00000+ 1 2.93570- 3 3.89174- 2 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 7.51100- 3 2.64594- 2 3.00000+ 0 5.00000+ 0 9.09623- 3 2.67987- 2 3.00000+ 0 6.00000+ 0 1.02196- 2 2.72174- 2 3.00000+ 0 8.00000+ 0 2.73086- 3 3.13508- 2 3.00000+ 0 1.00000+ 1 1.77731- 3 3.14964- 2 3.00000+ 0 1.10000+ 1 2.03029- 3 3.15785- 2 3.00000+ 0 1.30000+ 1 1.36909- 4 3.18362- 2 3.00000+ 0 1.40000+ 1 1.44041- 4 3.18539- 2 3.00000+ 0 1.60000+ 1 6.16375- 4 3.24221- 2 3.00000+ 0 1.80000+ 1 3.82621- 4 3.24765- 2 3.00000+ 0 1.90000+ 1 4.35566- 4 3.24941- 2 3.00000+ 0 2.10000+ 1 2.79206- 5 3.25844- 2 3.00000+ 0 2.20000+ 1 2.92683- 5 3.25874- 2 3.00000+ 0 2.70000+ 1 1.09759- 4 3.26575- 2 3.00000+ 0 2.90000+ 1 5.71899- 5 3.26729- 2 3.00000+ 0 3.00000+ 1 6.37356- 5 3.26756- 2 3.00000+ 0 3.20000+ 1 3.85106- 7 3.26956- 2 3.00000+ 0 4.10000+ 1 1.09759- 5 3.26961- 2 5.00000+ 0 5.00000+ 0 1.03398- 3 2.71380- 2 5.00000+ 0 6.00000+ 0 2.14358- 2 2.75567- 2 5.00000+ 0 8.00000+ 0 1.37779- 3 3.16901- 2 5.00000+ 0 1.00000+ 1 3.60470- 4 3.18357- 2 5.00000+ 0 1.10000+ 1 3.55314- 3 3.19178- 2 5.00000+ 0 1.30000+ 1 1.60018- 4 3.21755- 2 5.00000+ 0 1.40000+ 1 5.26277- 4 3.21932- 2 5.00000+ 0 1.60000+ 1 2.99240- 4 3.27614- 2 5.00000+ 0 1.80000+ 1 7.60602- 5 3.28158- 2 5.00000+ 0 1.90000+ 1 7.36190- 4 3.28334- 2 5.00000+ 0 2.10000+ 1 3.21576- 5 3.29237- 2 5.00000+ 0 2.20000+ 1 1.05717- 4 3.29267- 2 5.00000+ 0 2.70000+ 1 5.27622- 5 3.29968- 2 5.00000+ 0 2.90000+ 1 1.13611- 5 3.30122- 2 5.00000+ 0 3.00000+ 1 1.07071- 4 3.30149- 2 5.00000+ 0 3.20000+ 1 5.77682- 7 3.30349- 2 5.00000+ 0 4.10000+ 1 5.39179- 6 3.30354- 2 6.00000+ 0 6.00000+ 0 1.05453- 2 2.79754- 2 6.00000+ 0 8.00000+ 0 1.50330- 3 3.21088- 2 6.00000+ 0 1.00000+ 1 3.44689- 3 3.22544- 2 6.00000+ 0 1.10000+ 1 3.59220- 3 3.23365- 2 6.00000+ 0 1.30000+ 1 6.21980- 4 3.25942- 2 6.00000+ 0 1.40000+ 1 5.66901- 4 3.26119- 2 6.00000+ 0 1.60000+ 1 3.24662- 4 3.31801- 2 6.00000+ 0 1.80000+ 1 7.15379- 4 3.32345- 2 6.00000+ 0 1.90000+ 1 7.49067- 4 3.32521- 2 6.00000+ 0 2.10000+ 1 1.25168- 4 3.33424- 2 6.00000+ 0 2.20000+ 1 1.13999- 4 3.33454- 2 6.00000+ 0 2.70000+ 1 5.71909- 5 3.34155- 2 6.00000+ 0 2.90000+ 1 1.06291- 4 3.34309- 2 6.00000+ 0 3.00000+ 1 1.08991- 4 3.34336- 2 6.00000+ 0 3.20000+ 1 1.92566- 6 3.34536- 2 6.00000+ 0 4.10000+ 1 5.77678- 6 3.34541- 2 8.00000+ 0 8.00000+ 0 2.44545- 4 3.62422- 2 8.00000+ 0 1.00000+ 1 2.71683- 4 3.63878- 2 8.00000+ 0 1.10000+ 1 3.01346- 4 3.64699- 2 8.00000+ 0 1.30000+ 1 1.92556- 5 3.67276- 2 8.00000+ 0 1.40000+ 1 1.94485- 5 3.67453- 2 8.00000+ 0 1.60000+ 1 1.10144- 4 3.73135- 2 8.00000+ 0 1.80000+ 1 5.85357- 5 3.73679- 2 8.00000+ 0 1.90000+ 1 6.46973- 5 3.73855- 2 8.00000+ 0 2.10000+ 1 4.04359- 6 3.74758- 2 8.00000+ 0 2.20000+ 1 4.04359- 6 3.74788- 2 8.00000+ 0 2.70000+ 1 1.96405- 5 3.75489- 2 8.00000+ 0 2.90000+ 1 8.85749- 6 3.75643- 2 8.00000+ 0 3.00000+ 1 9.43524- 6 3.75670- 2 8.00000+ 0 4.10000+ 1 1.92556- 6 3.75875- 2 1.00000+ 1 1.00000+ 1 3.02330- 5 3.65334- 2 1.00000+ 1 1.10000+ 1 5.81348- 4 3.66155- 2 1.00000+ 1 1.30000+ 1 2.04106- 5 3.68732- 2 1.00000+ 1 1.40000+ 1 6.60500- 5 3.68909- 2 1.00000+ 1 1.60000+ 1 5.91171- 5 3.74591- 2 1.00000+ 1 1.80000+ 1 1.27089- 5 3.75135- 2 1.00000+ 1 1.90000+ 1 1.20734- 4 3.75311- 2 1.00000+ 1 2.10000+ 1 4.04383- 6 3.76214- 2 1.00000+ 1 2.20000+ 1 1.32858- 5 3.76244- 2 1.00000+ 1 2.70000+ 1 1.03982- 5 3.76945- 2 1.00000+ 1 2.90000+ 1 1.92568- 6 3.77099- 2 1.00000+ 1 3.00000+ 1 1.75231- 5 3.77126- 2 1.00000+ 1 4.10000+ 1 9.62780- 7 3.77331- 2 1.10000+ 1 1.10000+ 1 3.07142- 4 3.66976- 2 1.10000+ 1 1.30000+ 1 8.41495- 5 3.69553- 2 1.10000+ 1 1.40000+ 1 7.47160- 5 3.69730- 2 1.10000+ 1 1.60000+ 1 6.52788- 5 3.75412- 2 1.10000+ 1 1.80000+ 1 1.20929- 4 3.75956- 2 1.10000+ 1 1.90000+ 1 1.28248- 4 3.76132- 2 1.10000+ 1 2.10000+ 1 1.71380- 5 3.77035- 2 1.10000+ 1 2.20000+ 1 1.52124- 5 3.77065- 2 1.10000+ 1 2.70000+ 1 1.15540- 5 3.77766- 2 1.10000+ 1 2.90000+ 1 1.79079- 5 3.77920- 2 1.10000+ 1 3.00000+ 1 1.86788- 5 3.77947- 2 1.10000+ 1 3.20000+ 1 1.92567- 7 3.78147- 2 1.10000+ 1 4.10000+ 1 1.15540- 6 3.78152- 2 1.30000+ 1 1.40000+ 1 9.58138- 6 3.72308- 2 1.30000+ 1 1.60000+ 1 4.13331- 6 3.77989- 2 1.30000+ 1 1.80000+ 1 3.94544- 6 3.78533- 2 1.30000+ 1 1.90000+ 1 1.63446- 5 3.78710- 2 1.30000+ 1 2.20000+ 1 1.87882- 6 3.79643- 2 1.30000+ 1 2.70000+ 1 7.51490- 7 3.80344- 2 1.30000+ 1 2.90000+ 1 5.63627- 7 3.80497- 2 1.30000+ 1 3.00000+ 1 2.44236- 6 3.80524- 2 1.40000+ 1 1.40000+ 1 2.27942- 6 3.72484- 2 1.40000+ 1 1.60000+ 1 4.17881- 6 3.78166- 2 1.40000+ 1 1.80000+ 1 1.29159- 5 3.78710- 2 1.40000+ 1 1.90000+ 1 1.46260- 5 3.78886- 2 1.40000+ 1 2.10000+ 1 1.89951- 6 3.79789- 2 1.40000+ 1 2.20000+ 1 9.49696- 7 3.79820- 2 1.40000+ 1 2.70000+ 1 7.59765- 7 3.80521- 2 1.40000+ 1 2.90000+ 1 1.89951- 6 3.80674- 2 1.40000+ 1 3.00000+ 1 2.08946- 6 3.80701- 2 1.60000+ 1 1.60000+ 1 1.16572- 5 3.83847- 2 1.60000+ 1 1.80000+ 1 1.20205- 5 3.84391- 2 1.60000+ 1 1.90000+ 1 1.32952- 5 3.84568- 2 1.60000+ 1 2.10000+ 1 7.28508- 7 3.85470- 2 1.60000+ 1 2.20000+ 1 7.28508- 7 3.85501- 2 1.60000+ 1 2.70000+ 1 4.18903- 6 3.86202- 2 1.60000+ 1 2.90000+ 1 1.82136- 6 3.86355- 2 1.60000+ 1 3.00000+ 1 2.00350- 6 3.86383- 2 1.60000+ 1 4.10000+ 1 3.64255- 7 3.86587- 2 1.80000+ 1 1.80000+ 1 1.23297- 6 3.84935- 2 1.80000+ 1 1.90000+ 1 2.30753- 5 3.85112- 2 1.80000+ 1 2.10000+ 1 7.04571- 7 3.86014- 2 1.80000+ 1 2.20000+ 1 2.46612- 6 3.86045- 2 1.80000+ 1 2.70000+ 1 2.11383- 6 3.86746- 2 1.80000+ 1 2.90000+ 1 3.52286- 7 3.86899- 2 1.80000+ 1 3.00000+ 1 3.34679- 6 3.86927- 2 1.80000+ 1 4.10000+ 1 1.76152- 7 3.87131- 2 1.90000+ 1 1.90000+ 1 1.20228- 5 3.85289- 2 1.90000+ 1 2.10000+ 1 3.13661- 6 3.86191- 2 1.90000+ 1 2.20000+ 1 2.78818- 6 3.86222- 2 1.90000+ 1 2.70000+ 1 2.26530- 6 3.86923- 2 1.90000+ 1 2.90000+ 1 3.31087- 6 3.87076- 2 1.90000+ 1 3.00000+ 1 3.48505- 6 3.87103- 2 1.90000+ 1 4.10000+ 1 1.74261- 7 3.87308- 2 2.10000+ 1 2.20000+ 1 3.36365- 7 3.87124- 2 2.10000+ 1 2.70000+ 1 1.68191- 7 3.87825- 2 2.10000+ 1 2.90000+ 1 1.68191- 7 3.87978- 2 2.10000+ 1 3.00000+ 1 5.04555- 7 3.88006- 2 2.20000+ 1 2.70000+ 1 1.79315- 7 3.87856- 2 2.20000+ 1 2.90000+ 1 3.58613- 7 3.88009- 2 2.20000+ 1 3.00000+ 1 3.58613- 7 3.88036- 2 2.70000+ 1 2.70000+ 1 3.13457- 7 3.88557- 2 2.70000+ 1 2.90000+ 1 3.13457- 7 3.88710- 2 2.70000+ 1 3.00000+ 1 3.13457- 7 3.88738- 2 2.90000+ 1 3.00000+ 1 5.54821- 7 3.88891- 2 3.00000+ 1 3.00000+ 1 1.92560- 7 3.88918- 2 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.97811- 5 3.39300- 4 6.00000+ 0 4.85253- 4 7.58000- 4 1.00000+ 1 1.65301- 2 5.03700- 3 1.10000+ 1 2.53612- 2 5.11910- 3 1.30000+ 1 2.76122- 4 5.37684- 3 1.40000+ 1 4.12703- 4 5.39452- 3 1.80000+ 1 3.78713- 3 6.01707- 3 1.90000+ 1 6.00664- 3 6.03473- 3 2.10000+ 1 3.69512- 5 6.12497- 3 2.20000+ 1 5.65024- 5 6.12804- 3 2.90000+ 1 5.62464- 4 6.21347- 3 3.00000+ 1 8.77756- 4 6.21621- 3 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.55451- 2 6.01700- 5 5.00000+ 0 1.80000+ 1 4.03504- 2 1.14570- 4 5.00000+ 0 1.90000+ 1 5.01608- 2 1.32230- 4 5.00000+ 0 2.10000+ 1 1.34367- 2 2.22470- 4 5.00000+ 0 2.20000+ 1 2.18829- 2 2.25540- 4 5.00000+ 0 2.70000+ 1 9.42702- 3 2.95650- 4 5.00000+ 0 2.90000+ 1 5.66240- 3 3.10970- 4 5.00000+ 0 3.00000+ 1 6.89156- 3 3.13710- 4 5.00000+ 0 3.20000+ 1 2.12270- 4 3.33720- 4 5.00000+ 0 4.10000+ 1 9.42039- 4 3.34160- 4 6.00000+ 0 1.60000+ 1 6.91806- 2 4.78870- 4 6.00000+ 0 1.80000+ 1 3.01272- 2 5.33270- 4 6.00000+ 0 1.90000+ 1 5.57159- 2 5.50930- 4 6.00000+ 0 2.10000+ 1 6.59130- 2 6.41170- 4 6.00000+ 0 2.20000+ 1 8.41383- 2 6.44240- 4 6.00000+ 0 2.70000+ 1 1.18607- 2 7.14350- 4 6.00000+ 0 2.90000+ 1 4.32876- 3 7.29670- 4 6.00000+ 0 3.00000+ 1 7.92281- 3 7.32410- 4 6.00000+ 0 3.20000+ 1 9.80069- 4 7.52420- 4 6.00000+ 0 4.10000+ 1 1.18506- 3 7.52860- 4 8.00000+ 0 8.00000+ 0 1.27417- 2 3.54100- 3 8.00000+ 0 1.00000+ 1 2.53717- 2 3.68660- 3 8.00000+ 0 1.10000+ 1 4.63758- 2 3.76870- 3 8.00000+ 0 1.30000+ 1 3.64277- 2 4.02644- 3 8.00000+ 0 1.40000+ 1 5.10780- 2 4.04412- 3 8.00000+ 0 1.60000+ 1 4.89394- 3 4.61227- 3 8.00000+ 0 1.80000+ 1 5.34186- 3 4.66667- 3 8.00000+ 0 1.90000+ 1 9.70430- 3 4.68433- 3 8.00000+ 0 2.10000+ 1 6.32552- 3 4.77457- 3 8.00000+ 0 2.20000+ 1 8.83185- 3 4.77764- 3 8.00000+ 0 2.70000+ 1 8.49824- 4 4.84775- 3 8.00000+ 0 2.90000+ 1 7.94925- 4 4.86307- 3 8.00000+ 0 3.00000+ 1 1.41199- 3 4.86581- 3 8.00000+ 0 3.20000+ 1 9.73554- 5 4.88582- 3 8.00000+ 0 4.10000+ 1 8.49070- 5 4.88626- 3 1.00000+ 1 1.00000+ 1 1.31752- 4 3.83220- 3 1.00000+ 1 1.10000+ 1 8.78344- 4 3.91430- 3 1.00000+ 1 1.30000+ 1 1.11330- 3 4.17204- 3 1.00000+ 1 1.40000+ 1 1.37378- 2 4.18972- 3 1.00000+ 1 1.60000+ 1 3.89901- 3 4.75787- 3 1.00000+ 1 1.80000+ 1 2.78139- 5 4.81227- 3 1.00000+ 1 1.90000+ 1 1.74203- 4 4.82993- 3 1.00000+ 1 2.10000+ 1 1.92505- 4 4.92017- 3 1.00000+ 1 2.20000+ 1 1.57447- 3 4.92324- 3 1.00000+ 1 2.70000+ 1 6.44093- 4 4.99335- 3 1.00000+ 1 2.90000+ 1 3.65964- 6 5.00867- 3 1.00000+ 1 3.00000+ 1 2.48867- 5 5.01141- 3 1.00000+ 1 3.20000+ 1 2.92775- 6 5.03142- 3 1.00000+ 1 4.10000+ 1 6.44093- 5 5.03186- 3 1.10000+ 1 1.10000+ 1 1.08259- 3 3.99640- 3 1.10000+ 1 1.30000+ 1 8.87204- 3 4.25414- 3 1.10000+ 1 1.40000+ 1 5.96854- 3 4.27182- 3 1.10000+ 1 1.60000+ 1 7.11902- 3 4.83997- 3 1.10000+ 1 1.80000+ 1 1.74940- 4 4.89437- 3 1.10000+ 1 1.90000+ 1 3.42566- 4 4.91203- 3 1.10000+ 1 2.10000+ 1 8.57138- 4 5.00227- 3 1.10000+ 1 2.20000+ 1 5.97275- 4 5.00534- 3 1.10000+ 1 2.70000+ 1 1.17632- 3 5.07545- 3 1.10000+ 1 2.90000+ 1 2.56175- 5 5.09077- 3 1.10000+ 1 3.00000+ 1 4.75777- 5 5.09351- 3 1.10000+ 1 3.20000+ 1 1.24432- 5 5.11352- 3 1.10000+ 1 4.10000+ 1 1.17108- 4 5.11396- 3 1.30000+ 1 1.30000+ 1 2.03852- 3 4.51188- 3 1.30000+ 1 1.40000+ 1 7.26466- 2 4.52956- 3 1.30000+ 1 1.60000+ 1 5.28692- 3 5.09771- 3 1.30000+ 1 1.80000+ 1 3.02307- 4 5.15211- 3 1.30000+ 1 1.90000+ 1 1.90161- 3 5.16977- 3 1.30000+ 1 2.10000+ 1 6.99032- 4 5.26001- 3 1.30000+ 1 2.20000+ 1 9.18686- 3 5.26308- 3 1.30000+ 1 2.70000+ 1 8.65917- 4 5.33319- 3 1.30000+ 1 2.90000+ 1 4.68469- 5 5.34851- 3 1.30000+ 1 3.00000+ 1 2.77425- 4 5.35125- 3 1.30000+ 1 3.20000+ 1 1.09787- 5 5.37126- 3 1.30000+ 1 4.10000+ 1 8.56423- 5 5.37170- 3 1.40000+ 1 1.40000+ 1 2.04155- 2 4.54724- 3 1.40000+ 1 1.60000+ 1 7.46402- 3 5.11539- 3 1.40000+ 1 1.80000+ 1 2.63283- 3 5.16979- 3 1.40000+ 1 1.90000+ 1 1.34319- 3 5.18745- 3 1.40000+ 1 2.10000+ 1 9.06489- 3 5.27769- 3 1.40000+ 1 2.20000+ 1 5.40420- 3 5.28076- 3 1.40000+ 1 2.70000+ 1 1.22456- 3 5.35087- 3 1.40000+ 1 2.90000+ 1 3.85758- 4 5.36619- 3 1.40000+ 1 3.00000+ 1 1.97636- 4 5.36893- 3 1.40000+ 1 3.20000+ 1 1.33224- 4 5.38894- 3 1.40000+ 1 4.10000+ 1 1.21511- 4 5.38938- 3 1.60000+ 1 1.60000+ 1 4.46512- 4 5.68354- 3 1.60000+ 1 1.80000+ 1 8.23470- 4 5.73794- 3 1.60000+ 1 1.90000+ 1 1.49397- 3 5.75560- 3 1.60000+ 1 2.10000+ 1 9.16432- 4 5.84584- 3 1.60000+ 1 2.20000+ 1 1.28463- 3 5.84891- 3 1.60000+ 1 2.70000+ 1 1.53717- 4 5.91902- 3 1.60000+ 1 2.90000+ 1 1.22234- 4 5.93434- 3 1.60000+ 1 3.00000+ 1 2.17395- 4 5.93708- 3 1.60000+ 1 3.20000+ 1 1.39070- 5 5.95709- 3 1.60000+ 1 4.10000+ 1 1.53717- 5 5.95753- 3 1.80000+ 1 1.80000+ 1 1.46393- 6 5.79234- 3 1.80000+ 1 1.90000+ 1 3.51340- 5 5.81000- 3 1.80000+ 1 2.10000+ 1 4.46510- 5 5.90024- 3 1.80000+ 1 2.20000+ 1 3.11107- 4 5.90331- 3 1.80000+ 1 2.70000+ 1 1.36146- 4 5.97342- 3 1.80000+ 1 3.00000+ 1 5.12368- 6 5.99148- 3 1.80000+ 1 3.20000+ 1 7.31982- 7 6.01149- 3 1.80000+ 1 4.10000+ 1 1.31756- 5 6.01193- 3 1.90000+ 1 1.90000+ 1 2.54948- 5 5.82766- 3 1.90000+ 1 2.10000+ 1 1.84661- 4 5.91790- 3 1.90000+ 1 2.20000+ 1 1.33673- 4 5.92097- 3 1.90000+ 1 2.70000+ 1 2.32197- 4 5.99108- 3 1.90000+ 1 2.90000+ 1 4.82313- 6 6.00640- 3 1.90000+ 1 3.00000+ 1 6.89045- 6 6.00914- 3 1.90000+ 1 3.20000+ 1 2.75611- 6 6.02915- 3 1.90000+ 1 4.10000+ 1 2.34277- 5 6.02959- 3 2.10000+ 1 2.10000+ 1 5.45582- 5 6.00814- 3 2.10000+ 1 2.20000+ 1 1.18819- 3 6.01121- 3 2.10000+ 1 2.70000+ 1 1.45250- 4 6.08132- 3 2.10000+ 1 2.90000+ 1 6.37708- 6 6.09664- 3 2.10000+ 1 3.00000+ 1 2.83419- 5 6.09938- 3 2.10000+ 1 3.20000+ 1 1.41710- 6 6.11939- 3 2.10000+ 1 4.10000+ 1 1.41710- 5 6.11983- 3 2.20000+ 1 2.20000+ 1 3.51408- 4 6.01428- 3 2.20000+ 1 2.70000+ 1 1.95457- 4 6.08439- 3 2.20000+ 1 2.90000+ 1 4.29047- 5 6.09971- 3 2.20000+ 1 3.00000+ 1 1.97495- 5 6.10245- 3 2.20000+ 1 3.20000+ 1 1.70251- 5 6.12246- 3 2.20000+ 1 4.10000+ 1 1.97495- 5 6.12290- 3 2.70000+ 1 2.70000+ 1 9.97102- 6 6.15450- 3 2.70000+ 1 2.90000+ 1 1.55107- 5 6.16982- 3 2.70000+ 1 3.00000+ 1 2.71420- 5 6.17256- 3 2.70000+ 1 3.20000+ 1 1.66184- 6 6.19257- 3 2.70000+ 1 4.10000+ 1 2.21573- 6 6.19301- 3 2.90000+ 1 3.00000+ 1 7.31980- 7 6.18788- 3 2.90000+ 1 4.10000+ 1 2.19594- 6 6.20833- 3 3.00000+ 1 3.00000+ 1 1.54591- 7 6.19062- 3 3.00000+ 1 3.20000+ 1 1.54591- 7 6.21063- 3 3.00000+ 1 4.10000+ 1 7.72925- 7 6.21107- 3 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.32340- 7 4.18700- 4 8.00000+ 0 4.35239- 3 4.55210- 3 1.10000+ 1 6.87938- 5 4.77980- 3 1.30000+ 1 9.06868- 2 5.03754- 3 1.60000+ 1 6.87818- 4 5.62337- 3 1.90000+ 1 1.05360- 5 5.69543- 3 2.10000+ 1 1.51540- 2 5.78567- 3 2.70000+ 1 9.69438- 5 5.85885- 3 3.00000+ 1 1.68380- 6 5.87691- 3 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.07198- 2 1.39570- 4 6.00000+ 0 1.80000+ 1 5.06992- 2 1.93970- 4 6.00000+ 0 1.90000+ 1 1.73021- 2 2.11630- 4 6.00000+ 0 2.10000+ 1 6.52978- 2 3.01870- 4 6.00000+ 0 2.20000+ 1 2.40739- 2 3.04940- 4 6.00000+ 0 2.70000+ 1 1.71803- 3 3.75050- 4 6.00000+ 0 2.90000+ 1 7.13828- 3 3.90370- 4 6.00000+ 0 3.00000+ 1 2.49176- 3 3.93110- 4 6.00000+ 0 3.20000+ 1 9.79004- 4 4.13120- 4 6.00000+ 0 4.10000+ 1 1.69809- 4 4.13560- 4 8.00000+ 0 8.00000+ 0 9.74747- 4 3.20170- 3 8.00000+ 0 1.00000+ 1 2.43211- 2 3.34730- 3 8.00000+ 0 1.10000+ 1 2.34279- 3 3.42940- 3 8.00000+ 0 1.30000+ 1 2.01009- 3 3.68714- 3 8.00000+ 0 1.40000+ 1 3.21693- 3 3.70482- 3 8.00000+ 0 1.60000+ 1 3.47411- 4 4.27297- 3 8.00000+ 0 1.80000+ 1 3.50030- 3 4.32737- 3 8.00000+ 0 1.90000+ 1 4.35801- 4 4.34503- 3 8.00000+ 0 2.10000+ 1 2.50391- 4 4.43527- 3 8.00000+ 0 2.20000+ 1 3.46555- 4 4.43834- 3 8.00000+ 0 2.70000+ 1 5.89162- 5 4.50845- 3 8.00000+ 0 2.90000+ 1 4.86914- 4 4.52377- 3 8.00000+ 0 3.00000+ 1 6.23831- 5 4.52651- 3 8.00000+ 0 3.20000+ 1 3.46555- 6 4.54652- 3 8.00000+ 0 4.10000+ 1 6.06472- 6 4.54696- 3 1.00000+ 1 1.00000+ 1 2.40357- 2 3.49290- 3 1.00000+ 1 1.10000+ 1 7.39467- 2 3.57500- 3 1.00000+ 1 1.30000+ 1 3.93775- 2 3.83274- 3 1.00000+ 1 1.40000+ 1 6.63866- 2 3.85042- 3 1.00000+ 1 1.60000+ 1 5.59335- 3 4.41857- 3 1.00000+ 1 1.80000+ 1 8.66221- 3 4.47297- 3 1.00000+ 1 1.90000+ 1 1.52087- 2 4.49063- 3 1.00000+ 1 2.10000+ 1 6.82273- 3 4.58087- 3 1.00000+ 1 2.20000+ 1 1.15053- 2 4.58394- 3 1.00000+ 1 2.70000+ 1 9.98936- 4 4.65405- 3 1.00000+ 1 2.90000+ 1 1.25968- 3 4.66937- 3 1.00000+ 1 3.00000+ 1 2.20671- 3 4.67211- 3 1.00000+ 1 3.20000+ 1 1.04832- 4 4.69212- 3 1.00000+ 1 4.10000+ 1 1.00498- 4 4.69256- 3 1.10000+ 1 1.10000+ 1 1.91992- 3 3.65710- 3 1.10000+ 1 1.30000+ 1 4.56623- 2 3.91484- 3 1.10000+ 1 1.40000+ 1 6.21036- 3 3.93252- 3 1.10000+ 1 1.60000+ 1 4.61769- 4 4.50067- 3 1.10000+ 1 1.80000+ 1 1.10330- 2 4.55507- 3 1.10000+ 1 1.90000+ 1 6.68866- 4 4.57273- 3 1.10000+ 1 2.10000+ 1 6.78644- 3 4.66297- 3 1.10000+ 1 2.20000+ 1 8.66396- 4 4.66604- 3 1.10000+ 1 2.70000+ 1 7.97088- 5 4.73615- 3 1.10000+ 1 2.90000+ 1 1.54563- 3 4.75147- 3 1.10000+ 1 3.00000+ 1 9.44384- 5 4.75421- 3 1.10000+ 1 3.20000+ 1 1.02234- 4 4.77422- 3 1.10000+ 1 4.10000+ 1 7.79759- 6 4.77466- 3 1.30000+ 1 1.30000+ 1 4.18869- 2 4.17258- 3 1.30000+ 1 1.40000+ 1 1.78480- 1 4.19026- 3 1.30000+ 1 1.60000+ 1 4.68721- 4 4.75841- 3 1.30000+ 1 1.80000+ 1 5.85355- 3 4.81281- 3 1.30000+ 1 1.90000+ 1 8.86754- 3 4.83047- 3 1.30000+ 1 2.10000+ 1 1.23894- 2 4.92071- 3 1.30000+ 1 2.20000+ 1 2.82950- 2 4.92378- 3 1.30000+ 1 2.70000+ 1 8.40394- 5 4.99389- 3 1.30000+ 1 2.90000+ 1 8.24826- 4 5.00921- 3 1.30000+ 1 3.00000+ 1 1.27358- 3 5.01195- 3 1.30000+ 1 3.20000+ 1 1.87140- 4 5.03196- 3 1.30000+ 1 4.10000+ 1 8.66403- 6 5.03240- 3 1.40000+ 1 1.40000+ 1 8.52029- 3 4.20794- 3 1.40000+ 1 1.60000+ 1 6.21213- 4 4.77609- 3 1.40000+ 1 1.80000+ 1 8.79933- 3 4.83049- 3 1.40000+ 1 1.90000+ 1 1.10293- 3 4.84815- 3 1.40000+ 1 2.10000+ 1 2.23505- 2 4.93839- 3 1.40000+ 1 2.20000+ 1 2.45970- 3 4.94146- 3 1.40000+ 1 2.70000+ 1 1.07433- 4 5.01157- 3 1.40000+ 1 2.90000+ 1 1.20603- 3 5.02689- 3 1.40000+ 1 3.00000+ 1 1.55947- 4 5.02963- 3 1.40000+ 1 3.20000+ 1 3.30102- 4 5.04964- 3 1.40000+ 1 4.10000+ 1 1.03969- 5 5.05008- 3 1.60000+ 1 1.60000+ 1 3.00728- 5 5.34424- 3 1.60000+ 1 1.80000+ 1 8.02514- 4 5.39864- 3 1.60000+ 1 1.90000+ 1 8.59226- 5 5.41630- 3 1.60000+ 1 2.10000+ 1 5.58488- 5 5.50654- 3 1.60000+ 1 2.20000+ 1 6.78769- 5 5.50961- 3 1.60000+ 1 2.70000+ 1 1.03105- 5 5.57972- 3 1.60000+ 1 2.90000+ 1 1.11704- 4 5.59504- 3 1.60000+ 1 3.00000+ 1 1.20291- 5 5.59778- 3 1.60000+ 1 3.20000+ 1 8.59226- 7 5.61779- 3 1.60000+ 1 4.10000+ 1 8.59226- 7 5.61823- 3 1.80000+ 1 1.80000+ 1 6.89191- 4 5.45304- 3 1.80000+ 1 1.90000+ 1 2.09629- 3 5.47070- 3 1.80000+ 1 2.10000+ 1 9.21818- 4 5.56094- 3 1.80000+ 1 2.20000+ 1 1.41759- 3 5.56401- 3 1.80000+ 1 2.70000+ 1 1.33527- 4 5.63412- 3 1.80000+ 1 2.90000+ 1 1.99073- 4 5.64944- 3 1.80000+ 1 3.00000+ 1 3.03812- 4 5.65218- 3 1.80000+ 1 3.20000+ 1 1.43905- 5 5.67219- 3 1.80000+ 1 4.10000+ 1 1.35924- 5 5.67263- 3 1.90000+ 1 1.90000+ 1 5.58378- 5 5.48836- 3 1.90000+ 1 2.10000+ 1 1.25964- 3 5.57860- 3 1.90000+ 1 2.20000+ 1 1.50271- 4 5.58167- 3 1.90000+ 1 2.70000+ 1 1.39601- 5 5.65178- 3 1.90000+ 1 2.90000+ 1 3.01353- 4 5.66710- 3 1.90000+ 1 3.00000+ 1 1.56016- 5 5.66984- 3 1.90000+ 1 3.20000+ 1 1.88864- 5 5.68985- 3 1.90000+ 1 4.10000+ 1 1.64233- 6 5.69029- 3 2.10000+ 1 2.10000+ 1 8.71524- 4 5.66884- 3 2.10000+ 1 2.20000+ 1 3.51624- 3 5.67191- 3 2.10000+ 1 2.70000+ 1 9.99864- 6 5.74202- 3 2.10000+ 1 2.90000+ 1 1.34984- 4 5.75734- 3 2.10000+ 1 3.00000+ 1 1.84149- 4 5.76008- 3 2.10000+ 1 3.20000+ 1 2.66637- 5 5.78009- 3 2.10000+ 1 4.10000+ 1 8.33233- 7 5.78053- 3 2.20000+ 1 2.20000+ 1 1.63785- 4 5.67498- 3 2.20000+ 1 2.70000+ 1 1.11309- 5 5.74509- 3 2.20000+ 1 2.90000+ 1 1.93197- 4 5.76041- 3 2.20000+ 1 3.00000+ 1 2.06715- 5 5.76315- 3 2.20000+ 1 3.20000+ 1 5.00900- 5 5.78316- 3 2.20000+ 1 4.10000+ 1 7.95067- 7 5.78360- 3 2.70000+ 1 2.70000+ 1 8.66417- 7 5.81520- 3 2.70000+ 1 2.90000+ 1 1.99277- 5 5.83052- 3 2.70000+ 1 3.00000+ 1 1.73287- 6 5.83326- 3 2.90000+ 1 2.90000+ 1 1.55945- 5 5.84584- 3 2.90000+ 1 3.00000+ 1 4.59207- 5 5.84858- 3 2.90000+ 1 3.20000+ 1 1.73285- 6 5.86859- 3 2.90000+ 1 4.10000+ 1 1.73285- 6 5.86903- 3 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 7.94728- 3 4.13340- 3 1.00000+ 1 4.64224- 5 4.27900- 3 1.10000+ 1 4.30334- 5 4.36110- 3 1.30000+ 1 8.88689- 3 4.61884- 3 1.40000+ 1 7.87038- 2 4.63652- 3 1.60000+ 1 7.99448- 4 5.20467- 3 1.80000+ 1 5.05065- 6 5.25907- 3 1.90000+ 1 4.87535- 6 5.27673- 3 2.10000+ 1 1.43911- 3 5.36697- 3 2.20000+ 1 1.28741- 2 5.37004- 3 2.70000+ 1 1.29521- 4 5.44015- 3 2.90000+ 1 8.09308- 7 5.45547- 3 3.00000+ 1 7.60547- 7 5.45821- 3 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.29521- 3 2.78300- 3 8.00000+ 0 1.00000+ 1 8.80055- 4 2.92860- 3 8.00000+ 0 1.10000+ 1 2.81684- 2 3.01070- 3 8.00000+ 0 1.30000+ 1 2.78485- 3 3.26844- 3 8.00000+ 0 1.40000+ 1 3.22439- 3 3.28612- 3 8.00000+ 0 1.60000+ 1 4.63050- 4 3.85427- 3 8.00000+ 0 1.80000+ 1 1.52153- 4 3.90867- 3 8.00000+ 0 1.90000+ 1 4.05857- 3 3.92633- 3 8.00000+ 0 2.10000+ 1 2.56407- 4 4.01657- 3 8.00000+ 0 2.20000+ 1 2.72381- 4 4.01964- 3 8.00000+ 0 2.70000+ 1 7.88960- 5 4.08975- 3 8.00000+ 0 2.90000+ 1 2.16025- 5 4.10507- 3 8.00000+ 0 3.00000+ 1 5.53207- 4 4.10781- 3 8.00000+ 0 3.20000+ 1 3.75686- 6 4.12782- 3 8.00000+ 0 4.10000+ 1 7.51403- 6 4.12826- 3 1.00000+ 1 1.00000+ 1 2.77071- 4 3.07420- 3 1.00000+ 1 1.10000+ 1 4.69133- 2 3.15630- 3 1.00000+ 1 1.30000+ 1 2.96526- 3 3.41404- 3 1.00000+ 1 1.40000+ 1 2.66476- 2 3.43172- 3 1.00000+ 1 1.60000+ 1 1.69064- 4 3.99987- 3 1.00000+ 1 1.80000+ 1 9.67396- 5 4.05427- 3 1.00000+ 1 1.90000+ 1 7.00495- 3 4.07193- 3 1.00000+ 1 2.10000+ 1 4.78072- 4 4.16217- 3 1.00000+ 1 2.20000+ 1 3.71648- 3 4.16524- 3 1.00000+ 1 2.70000+ 1 2.91158- 5 4.23535- 3 1.00000+ 1 2.90000+ 1 1.40881- 5 4.25067- 3 1.00000+ 1 3.00000+ 1 9.61785- 4 4.25341- 3 1.00000+ 1 3.20000+ 1 7.51400- 6 4.27342- 3 1.00000+ 1 4.10000+ 1 2.81764- 6 4.27386- 3 1.10000+ 1 1.10000+ 1 6.52441- 2 3.23840- 3 1.10000+ 1 1.30000+ 1 6.60624- 2 3.49614- 3 1.10000+ 1 1.40000+ 1 9.83858- 2 3.51382- 3 1.10000+ 1 1.60000+ 1 6.41019- 3 4.08197- 3 1.10000+ 1 1.80000+ 1 9.47088- 3 4.13637- 3 1.10000+ 1 1.90000+ 1 2.31108- 2 4.15403- 3 1.10000+ 1 2.10000+ 1 1.10096- 2 4.24427- 3 1.10000+ 1 2.20000+ 1 1.62152- 2 4.24734- 3 1.10000+ 1 2.70000+ 1 1.14212- 3 4.31745- 3 1.10000+ 1 2.90000+ 1 1.40034- 3 4.33277- 3 1.10000+ 1 3.00000+ 1 3.27794- 3 4.33551- 3 1.10000+ 1 3.20000+ 1 1.69063- 4 4.35552- 3 1.10000+ 1 4.10000+ 1 1.14586- 4 4.35596- 3 1.30000+ 1 1.30000+ 1 9.50104- 3 3.75388- 3 1.30000+ 1 1.40000+ 1 1.82037- 1 3.77156- 3 1.30000+ 1 1.60000+ 1 5.96413- 4 4.33971- 3 1.30000+ 1 1.80000+ 1 5.97351- 4 4.39411- 3 1.30000+ 1 1.90000+ 1 9.19299- 3 4.41177- 3 1.30000+ 1 2.10000+ 1 2.80638- 3 4.50201- 3 1.30000+ 1 2.20000+ 1 2.30884- 2 4.50508- 3 1.30000+ 1 2.70000+ 1 1.05200- 4 4.57519- 3 1.30000+ 1 2.90000+ 1 8.82873- 5 4.59051- 3 1.30000+ 1 3.00000+ 1 1.24634- 3 4.59325- 3 1.30000+ 1 3.20000+ 1 4.22649- 5 4.61326- 3 1.30000+ 1 4.10000+ 1 1.03314- 5 4.61370- 3 1.40000+ 1 1.40000+ 1 1.23233- 1 3.78924- 3 1.40000+ 1 1.60000+ 1 7.33555- 4 4.35739- 3 1.40000+ 1 1.80000+ 1 5.00045- 3 4.41179- 3 1.40000+ 1 1.90000+ 1 1.53150- 2 4.42945- 3 1.40000+ 1 2.10000+ 1 2.71640- 2 4.51969- 3 1.40000+ 1 2.20000+ 1 3.49033- 2 4.52276- 3 1.40000+ 1 2.70000+ 1 1.31486- 4 4.59287- 3 1.40000+ 1 2.90000+ 1 7.29801- 4 4.60819- 3 1.40000+ 1 3.00000+ 1 2.12734- 3 4.61093- 3 1.40000+ 1 3.20000+ 1 4.11372- 4 4.63094- 3 1.40000+ 1 4.10000+ 1 1.31486- 5 4.63138- 3 1.60000+ 1 1.60000+ 1 4.08284- 5 4.92554- 3 1.60000+ 1 1.80000+ 1 2.96924- 5 4.97994- 3 1.60000+ 1 1.90000+ 1 9.14898- 4 4.99760- 3 1.60000+ 1 2.10000+ 1 5.84589- 5 5.08784- 3 1.60000+ 1 2.20000+ 1 6.58825- 5 5.09091- 3 1.60000+ 1 2.70000+ 1 1.39181- 5 5.16102- 3 1.60000+ 1 2.90000+ 1 4.63939- 6 5.17634- 3 1.60000+ 1 3.00000+ 1 1.24338- 4 5.17908- 3 1.60000+ 1 3.20000+ 1 9.27917- 7 5.19909- 3 1.60000+ 1 4.10000+ 1 9.27917- 7 5.19953- 3 1.80000+ 1 1.80000+ 1 6.95604- 6 5.03434- 3 1.80000+ 1 1.90000+ 1 1.30681- 3 5.05200- 3 1.80000+ 1 2.10000+ 1 8.69507- 5 5.14224- 3 1.80000+ 1 2.20000+ 1 6.66021- 4 5.14531- 3 1.80000+ 1 2.70000+ 1 5.21682- 6 5.21542- 3 1.80000+ 1 2.90000+ 1 1.73903- 6 5.23074- 3 1.80000+ 1 3.00000+ 1 1.79115- 4 5.23348- 3 1.80000+ 1 3.20000+ 1 1.73903- 6 5.25349- 3 1.80000+ 1 4.10000+ 1 8.69507- 7 5.25393- 3 1.90000+ 1 1.90000+ 1 1.72299- 3 5.06966- 3 1.90000+ 1 2.10000+ 1 1.33625- 3 5.15990- 3 1.90000+ 1 2.20000+ 1 2.17113- 3 5.16297- 3 1.90000+ 1 2.70000+ 1 1.43931- 4 5.23308- 3 1.90000+ 1 2.90000+ 1 1.81550- 4 5.24840- 3 1.90000+ 1 3.00000+ 1 4.85744- 4 5.25114- 3 1.90000+ 1 3.20000+ 1 2.04444- 5 5.27115- 3 1.90000+ 1 4.10000+ 1 1.47199- 5 5.27159- 3 2.10000+ 1 2.10000+ 1 1.94304- 4 5.25014- 3 2.10000+ 1 2.20000+ 1 3.41628- 3 5.25321- 3 2.10000+ 1 2.70000+ 1 9.94097- 6 5.32332- 3 2.10000+ 1 2.90000+ 1 1.35555- 5 5.33864- 3 2.10000+ 1 3.00000+ 1 2.00635- 4 5.34138- 3 2.10000+ 1 3.20000+ 1 5.42224- 6 5.36139- 3 2.10000+ 1 4.10000+ 1 9.03745- 7 5.36183- 3 2.20000+ 1 2.20000+ 1 2.48338- 3 5.25628- 3 2.20000+ 1 2.70000+ 1 1.22106- 5 5.32639- 3 2.20000+ 1 2.90000+ 1 1.05204- 4 5.34171- 3 2.20000+ 1 3.00000+ 1 3.45661- 4 5.34445- 3 2.20000+ 1 3.20000+ 1 5.35374- 5 5.36446- 3 2.20000+ 1 4.10000+ 1 9.39268- 7 5.36490- 3 2.70000+ 1 2.70000+ 1 1.01963- 6 5.39650- 3 2.70000+ 1 2.90000+ 1 1.01963- 6 5.41182- 3 2.70000+ 1 3.00000+ 1 2.44710- 5 5.41456- 3 2.90000+ 1 3.00000+ 1 2.81773- 5 5.42988- 3 3.00000+ 1 3.00000+ 1 3.94463- 5 5.43262- 3 3.00000+ 1 3.20000+ 1 2.81763- 6 5.45263- 3 3.00000+ 1 4.10000+ 1 1.87852- 6 5.45307- 3 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.20702- 5 1.45600- 4 1.10000+ 1 9.50744- 5 2.27700- 4 1.80000+ 1 2.81588- 4 1.12567- 3 1.90000+ 1 3.69262- 4 1.14333- 3 2.90000+ 1 4.99631- 5 1.32207- 3 3.00000+ 1 6.57250- 5 1.32481- 3 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 8.80839- 2 2.87700- 5 1.00000+ 1 2.20000+ 1 1.20788- 1 3.18400- 5 1.00000+ 1 2.70000+ 1 1.09260- 2 1.01950- 4 1.00000+ 1 2.90000+ 1 9.24123- 3 1.17270- 4 1.00000+ 1 3.00000+ 1 1.54417- 2 1.20010- 4 1.00000+ 1 3.20000+ 1 3.75210- 4 1.40020- 4 1.00000+ 1 3.30000+ 1 5.09583- 4 1.40260- 4 1.00000+ 1 4.10000+ 1 1.08077- 3 1.40460- 4 1.10000+ 1 1.80000+ 1 9.43904- 2 2.97000- 6 1.10000+ 1 1.90000+ 1 1.38798- 1 2.06300- 5 1.10000+ 1 2.10000+ 1 6.44967- 2 1.10870- 4 1.10000+ 1 2.20000+ 1 9.36698- 2 1.13940- 4 1.10000+ 1 2.70000+ 1 1.47292- 2 1.84050- 4 1.10000+ 1 2.90000+ 1 1.27807- 2 1.99370- 4 1.10000+ 1 3.00000+ 1 1.93637- 2 2.02110- 4 1.10000+ 1 3.20000+ 1 3.17588- 4 2.22120- 4 1.10000+ 1 3.30000+ 1 4.61160- 4 2.22360- 4 1.10000+ 1 4.10000+ 1 1.48049- 3 2.22560- 4 1.30000+ 1 1.60000+ 1 3.41261- 2 2.06310- 4 1.30000+ 1 1.80000+ 1 7.38531- 3 2.60710- 4 1.30000+ 1 1.90000+ 1 5.96823- 3 2.78370- 4 1.30000+ 1 2.10000+ 1 1.01577- 2 3.68610- 4 1.30000+ 1 2.20000+ 1 1.26534- 2 3.71680- 4 1.30000+ 1 2.70000+ 1 4.10813- 3 4.41790- 4 1.30000+ 1 2.90000+ 1 8.63523- 4 4.57110- 4 1.30000+ 1 3.00000+ 1 6.69607- 4 4.59850- 4 1.30000+ 1 3.20000+ 1 5.54047- 5 4.79860- 4 1.30000+ 1 3.30000+ 1 7.04955- 5 4.80100- 4 1.30000+ 1 4.10000+ 1 3.91758- 4 4.80300- 4 1.40000+ 1 1.60000+ 1 4.97529- 2 2.23990- 4 1.40000+ 1 1.80000+ 1 1.74400- 3 2.78390- 4 1.40000+ 1 1.90000+ 1 1.43992- 2 2.96050- 4 1.40000+ 1 2.10000+ 1 1.33693- 2 3.86290- 4 1.40000+ 1 2.20000+ 1 2.07365- 2 3.89360- 4 1.40000+ 1 2.70000+ 1 5.94683- 3 4.59470- 4 1.40000+ 1 2.90000+ 1 1.93916- 4 4.74790- 4 1.40000+ 1 3.00000+ 1 1.62161- 3 4.77530- 4 1.40000+ 1 3.20000+ 1 7.66965- 5 4.97540- 4 1.40000+ 1 3.30000+ 1 1.12468- 4 4.97780- 4 1.40000+ 1 4.10000+ 1 5.66039- 4 4.97980- 4 1.60000+ 1 1.60000+ 1 7.19801- 3 7.92140- 4 1.60000+ 1 1.80000+ 1 1.18408- 2 8.46540- 4 1.60000+ 1 1.90000+ 1 2.17025- 2 8.64200- 4 1.60000+ 1 2.10000+ 1 2.25925- 2 9.54440- 4 1.60000+ 1 2.20000+ 1 3.29072- 2 9.57510- 4 1.60000+ 1 2.70000+ 1 2.11678- 3 1.02762- 3 1.60000+ 1 2.90000+ 1 1.74609- 3 1.04294- 3 1.60000+ 1 3.00000+ 1 3.13281- 3 1.04568- 3 1.60000+ 1 3.20000+ 1 1.38005- 4 1.06569- 3 1.60000+ 1 3.30000+ 1 1.96009- 4 1.06593- 3 1.60000+ 1 4.10000+ 1 2.09345- 4 1.06613- 3 1.80000+ 1 1.80000+ 1 5.98629- 4 9.00940- 4 1.80000+ 1 1.90000+ 1 1.48080- 3 9.18600- 4 1.80000+ 1 2.10000+ 1 9.05642- 4 1.00884- 3 1.80000+ 1 2.20000+ 1 3.77914- 4 1.01191- 3 1.80000+ 1 2.70000+ 1 1.27058- 3 1.08202- 3 1.80000+ 1 2.90000+ 1 1.42410- 4 1.09734- 3 1.80000+ 1 3.00000+ 1 1.68304- 4 1.10008- 3 1.80000+ 1 3.20000+ 1 4.93215- 6 1.12009- 3 1.80000+ 1 3.30000+ 1 2.46592- 6 1.12033- 3 1.80000+ 1 4.10000+ 1 1.20831- 4 1.12053- 3 1.90000+ 1 1.90000+ 1 1.89878- 3 9.36260- 4 1.90000+ 1 2.10000+ 1 9.52294- 4 1.02650- 3 1.90000+ 1 2.20000+ 1 2.55247- 3 1.02957- 3 1.90000+ 1 2.70000+ 1 2.22863- 3 1.09968- 3 1.90000+ 1 2.90000+ 1 1.74593- 4 1.11500- 3 1.90000+ 1 3.00000+ 1 4.59719- 4 1.11774- 3 1.90000+ 1 3.20000+ 1 5.87840- 6 1.13775- 3 1.90000+ 1 3.30000+ 1 1.46964- 5 1.13799- 3 1.90000+ 1 4.10000+ 1 2.12214- 4 1.13819- 3 2.10000+ 1 2.10000+ 1 2.80428- 4 1.11674- 3 2.10000+ 1 2.20000+ 1 1.12941- 3 1.11981- 3 2.10000+ 1 2.70000+ 1 2.50387- 3 1.18992- 3 2.10000+ 1 2.90000+ 1 1.03145- 4 1.20524- 3 2.10000+ 1 3.00000+ 1 1.17325- 4 1.20798- 3 2.10000+ 1 3.20000+ 1 3.22303- 6 1.22799- 3 2.10000+ 1 3.30000+ 1 5.80198- 6 1.22823- 3 2.10000+ 1 4.10000+ 1 2.37880- 4 1.22843- 3 2.20000+ 1 2.20000+ 1 6.90144- 4 1.12288- 3 2.20000+ 1 2.70000+ 1 3.59468- 3 1.19299- 3 2.20000+ 1 2.90000+ 1 4.13434- 5 1.20831- 3 2.20000+ 1 3.00000+ 1 3.12293- 4 1.21105- 3 2.20000+ 1 3.20000+ 1 5.72461- 6 1.23106- 3 2.20000+ 1 3.30000+ 1 6.99635- 6 1.23130- 3 2.20000+ 1 4.10000+ 1 3.40937- 4 1.23150- 3 2.70000+ 1 2.70000+ 1 8.50982- 5 1.26310- 3 2.70000+ 1 2.90000+ 1 1.18518- 4 1.27842- 3 2.70000+ 1 3.00000+ 1 2.12943- 4 1.28116- 3 2.70000+ 1 3.20000+ 1 9.32581- 6 1.30117- 3 2.70000+ 1 3.30000+ 1 1.32117- 5 1.30141- 3 2.70000+ 1 4.10000+ 1 1.67096- 5 1.30161- 3 2.90000+ 1 2.90000+ 1 3.07804- 6 1.29374- 3 2.90000+ 1 3.00000+ 1 7.25543- 6 1.29648- 3 2.90000+ 1 3.20000+ 1 2.19856- 7 1.31649- 3 2.90000+ 1 4.10000+ 1 6.37605- 6 1.31693- 3 3.00000+ 1 3.00000+ 1 1.14425- 5 1.29922- 3 3.00000+ 1 3.20000+ 1 2.48732- 7 1.31923- 3 3.00000+ 1 3.30000+ 1 7.46207- 7 1.31947- 3 3.00000+ 1 4.10000+ 1 1.29351- 5 1.31967- 3 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.31287- 4 3.39840- 4 1.60000+ 1 3.32713- 4 9.25670- 4 2.10000+ 1 1.45150- 3 1.08797- 3 2.70000+ 1 5.68378- 5 1.16115- 3 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.70000+ 1 9.67741- 3 3.84500- 5 1.10000+ 1 2.90000+ 1 9.37946- 3 5.37700- 5 1.10000+ 1 3.00000+ 1 1.10949- 2 5.65100- 5 1.10000+ 1 3.20000+ 1 1.24143- 4 7.65200- 5 1.10000+ 1 3.30000+ 1 3.03747- 4 7.67600- 5 1.10000+ 1 4.10000+ 1 8.88830- 4 7.69600- 5 1.30000+ 1 1.60000+ 1 1.27012- 1 6.07100- 5 1.30000+ 1 1.80000+ 1 1.28218- 1 1.15110- 4 1.30000+ 1 1.90000+ 1 1.83653- 1 1.32770- 4 1.30000+ 1 2.10000+ 1 5.61719- 2 2.23010- 4 1.30000+ 1 2.20000+ 1 6.22306- 2 2.26080- 4 1.30000+ 1 2.70000+ 1 2.26131- 2 2.96190- 4 1.30000+ 1 2.90000+ 1 1.64526- 2 3.11510- 4 1.30000+ 1 3.00000+ 1 2.53300- 2 3.14250- 4 1.30000+ 1 3.20000+ 1 3.27666- 4 3.34260- 4 1.30000+ 1 3.30000+ 1 3.77511- 4 3.34500- 4 1.30000+ 1 4.10000+ 1 2.27368- 3 3.34700- 4 1.40000+ 1 1.60000+ 1 2.06592- 2 7.83900- 5 1.40000+ 1 1.80000+ 1 1.47001- 1 1.32790- 4 1.40000+ 1 1.90000+ 1 1.52156- 2 1.50450- 4 1.40000+ 1 2.10000+ 1 2.87749- 3 2.40690- 4 1.40000+ 1 2.20000+ 1 7.13583- 3 2.43760- 4 1.40000+ 1 2.70000+ 1 2.45466- 3 3.13870- 4 1.40000+ 1 2.90000+ 1 1.54696- 2 3.29190- 4 1.40000+ 1 3.00000+ 1 1.90849- 3 3.31930- 4 1.40000+ 1 3.20000+ 1 1.12957- 5 3.51940- 4 1.40000+ 1 3.30000+ 1 3.97804- 5 3.52180- 4 1.40000+ 1 4.10000+ 1 2.35729- 4 3.52380- 4 1.60000+ 1 1.60000+ 1 7.27051- 4 6.46540- 4 1.60000+ 1 1.80000+ 1 1.02368- 2 7.00940- 4 1.60000+ 1 1.90000+ 1 1.66991- 3 7.18600- 4 1.60000+ 1 2.10000+ 1 3.62098- 4 8.08840- 4 1.60000+ 1 2.20000+ 1 1.14329- 3 8.11910- 4 1.60000+ 1 2.70000+ 1 2.02060- 4 8.82020- 4 1.60000+ 1 2.90000+ 1 1.02005- 3 8.97340- 4 1.60000+ 1 3.00000+ 1 2.15869- 4 9.00080- 4 1.60000+ 1 3.20000+ 1 1.72696- 6 9.20090- 4 1.60000+ 1 3.30000+ 1 6.33212- 6 9.20330- 4 1.60000+ 1 4.10000+ 1 1.95715- 5 9.20530- 4 1.80000+ 1 1.80000+ 1 7.67859- 3 7.55340- 4 1.80000+ 1 1.90000+ 1 2.38563- 2 7.73000- 4 1.80000+ 1 2.10000+ 1 2.16527- 2 8.63240- 4 1.80000+ 1 2.20000+ 1 3.59904- 2 8.66310- 4 1.80000+ 1 2.70000+ 1 1.87019- 3 9.36420- 4 1.80000+ 1 2.90000+ 1 1.92233- 3 9.51740- 4 1.80000+ 1 3.00000+ 1 3.41744- 3 9.54480- 4 1.80000+ 1 3.20000+ 1 1.32342- 4 9.74490- 4 1.80000+ 1 3.30000+ 1 2.11987- 4 9.74730- 4 1.80000+ 1 4.10000+ 1 1.88637- 4 9.74930- 4 1.90000+ 1 1.90000+ 1 7.21660- 4 7.90660- 4 1.90000+ 1 2.10000+ 1 2.25603- 3 8.80900- 4 1.90000+ 1 2.20000+ 1 1.68882- 3 8.83970- 4 1.90000+ 1 2.70000+ 1 2.28138- 4 9.54080- 4 1.90000+ 1 2.90000+ 1 2.70363- 3 9.69400- 4 1.90000+ 1 3.00000+ 1 1.73589- 4 9.72140- 4 1.90000+ 1 3.20000+ 1 1.13070- 5 9.92150- 4 1.90000+ 1 3.30000+ 1 8.64657- 6 9.92390- 4 1.90000+ 1 4.10000+ 1 2.19488- 5 9.92590- 4 2.10000+ 1 2.10000+ 1 7.02943- 4 9.71140- 4 2.10000+ 1 2.20000+ 1 1.89463- 3 9.74210- 4 2.10000+ 1 2.70000+ 1 5.52328- 5 1.04432- 3 2.10000+ 1 2.90000+ 1 2.01740- 3 1.05964- 3 2.10000+ 1 3.00000+ 1 2.25944- 4 1.06238- 3 2.10000+ 1 3.20000+ 1 7.25273- 6 1.08239- 3 2.10000+ 1 3.30000+ 1 1.06001- 5 1.08263- 3 2.10000+ 1 4.10000+ 1 5.57912- 6 1.08283- 3 2.20000+ 1 2.20000+ 1 3.06129- 4 9.77280- 4 2.20000+ 1 2.70000+ 1 1.00284- 4 1.04739- 3 2.20000+ 1 2.90000+ 1 2.30088- 3 1.06271- 3 2.20000+ 1 3.00000+ 1 1.06689- 4 1.06545- 3 2.20000+ 1 3.20000+ 1 6.78604- 6 1.08546- 3 2.20000+ 1 3.30000+ 1 3.01616- 6 1.08570- 3 2.20000+ 1 4.10000+ 1 9.80200- 6 1.08590- 3 2.70000+ 1 2.70000+ 1 9.75005- 6 1.11750- 3 2.70000+ 1 2.90000+ 1 1.21678- 4 1.13282- 3 2.70000+ 1 3.00000+ 1 1.75503- 5 1.13556- 3 2.70000+ 1 3.30000+ 1 3.90003- 7 1.15581- 3 2.70000+ 1 4.10000+ 1 1.94994- 6 1.15601- 3 2.90000+ 1 2.90000+ 1 7.48829- 5 1.14814- 3 2.90000+ 1 3.00000+ 1 2.27767- 4 1.15088- 3 2.90000+ 1 3.20000+ 1 8.58066- 6 1.17089- 3 2.90000+ 1 3.30000+ 1 1.40400- 5 1.17113- 3 2.90000+ 1 4.10000+ 1 1.20901- 5 1.17133- 3 3.00000+ 1 3.00000+ 1 6.24011- 6 1.15362- 3 3.00000+ 1 3.20000+ 1 7.80050- 7 1.17363- 3 3.00000+ 1 3.30000+ 1 7.80050- 7 1.17387- 3 3.00000+ 1 4.10000+ 1 1.56003- 6 1.17407- 3 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.97111- 5 2.57740- 4 1.40000+ 1 2.22313- 4 2.75420- 4 1.60000+ 1 4.18515- 4 8.43570- 4 2.10000+ 1 1.77749- 4 1.00587- 3 2.20000+ 1 1.46315- 3 1.00894- 3 2.70000+ 1 7.14704- 5 1.07905- 3 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.80000+ 1 1.79594- 2 3.30100- 5 1.30000+ 1 1.90000+ 1 9.97042- 2 5.06700- 5 1.30000+ 1 2.10000+ 1 1.38934- 2 1.40910- 4 1.30000+ 1 2.20000+ 1 1.06315- 2 1.43980- 4 1.30000+ 1 2.70000+ 1 3.49109- 3 2.14090- 4 1.30000+ 1 2.90000+ 1 2.43724- 3 2.29410- 4 1.30000+ 1 3.00000+ 1 1.11689- 2 2.32150- 4 1.30000+ 1 3.20000+ 1 7.55979- 5 2.52160- 4 1.30000+ 1 3.30000+ 1 5.53548- 5 2.52400- 4 1.30000+ 1 4.10000+ 1 3.43290- 4 2.52600- 4 1.40000+ 1 1.60000+ 1 1.07275- 1 0.00000+ 0 1.40000+ 1 1.80000+ 1 1.16961- 1 5.06900- 5 1.40000+ 1 1.90000+ 1 2.21001- 1 6.83500- 5 1.40000+ 1 2.10000+ 1 5.53428- 2 1.58590- 4 1.40000+ 1 2.20000+ 1 8.92749- 2 1.61660- 4 1.40000+ 1 2.70000+ 1 1.97290- 2 2.31770- 4 1.40000+ 1 2.90000+ 1 1.62200- 2 2.47090- 4 1.40000+ 1 3.00000+ 1 2.79757- 2 2.49830- 4 1.40000+ 1 3.20000+ 1 3.00687- 4 2.69840- 4 1.40000+ 1 3.30000+ 1 4.81434- 4 2.70080- 4 1.40000+ 1 4.10000+ 1 1.95678- 3 2.70280- 4 1.60000+ 1 1.60000+ 1 7.80788- 4 5.64440- 4 1.60000+ 1 1.80000+ 1 1.14488- 3 6.18840- 4 1.60000+ 1 1.90000+ 1 1.66480- 2 6.36500- 4 1.60000+ 1 2.10000+ 1 1.00544- 3 7.26740- 4 1.60000+ 1 2.20000+ 1 1.09143- 3 7.29810- 4 1.60000+ 1 2.70000+ 1 2.16286- 4 7.99920- 4 1.60000+ 1 2.90000+ 1 1.40292- 4 8.15240- 4 1.60000+ 1 3.00000+ 1 1.65844- 3 8.17980- 4 1.60000+ 1 3.20000+ 1 5.84536- 6 8.37990- 4 1.60000+ 1 3.30000+ 1 5.84536- 6 8.38230- 4 1.60000+ 1 4.10000+ 1 2.08767- 5 8.38430- 4 1.80000+ 1 1.80000+ 1 1.85754- 4 6.73240- 4 1.80000+ 1 1.90000+ 1 2.00548- 2 6.90900- 4 1.80000+ 1 2.10000+ 1 5.45009- 4 7.81140- 4 1.80000+ 1 2.20000+ 1 3.38799- 3 7.84210- 4 1.80000+ 1 2.70000+ 1 1.47201- 4 8.54320- 4 1.80000+ 1 2.90000+ 1 4.20563- 5 8.69640- 4 1.80000+ 1 3.00000+ 1 2.01772- 3 8.72380- 4 1.80000+ 1 3.20000+ 1 2.62849- 6 8.92390- 4 1.80000+ 1 3.30000+ 1 1.75239- 5 8.92630- 4 1.80000+ 1 4.10000+ 1 1.40191- 5 8.92830- 4 1.90000+ 1 1.90000+ 1 2.61932- 2 7.08560- 4 1.90000+ 1 2.10000+ 1 3.47042- 2 7.98800- 4 1.90000+ 1 2.20000+ 1 4.71322- 2 8.01870- 4 1.90000+ 1 2.70000+ 1 2.69712- 3 8.71980- 4 1.90000+ 1 2.90000+ 1 2.60872- 3 8.87300- 4 1.90000+ 1 3.00000+ 1 6.38314- 3 8.90040- 4 1.90000+ 1 3.20000+ 1 2.08507- 4 9.10050- 4 1.90000+ 1 3.30000+ 1 2.76699- 4 9.10290- 4 1.90000+ 1 4.10000+ 1 2.71212- 4 9.10490- 4 2.10000+ 1 2.10000+ 1 2.08177- 4 8.89040- 4 2.10000+ 1 2.20000+ 1 2.86688- 3 8.92110- 4 2.10000+ 1 2.70000+ 1 8.99504- 5 9.62220- 4 2.10000+ 1 2.90000+ 1 3.79070- 5 9.77540- 4 2.10000+ 1 3.00000+ 1 2.84432- 3 9.80280- 4 2.10000+ 1 3.20000+ 1 1.92745- 6 1.00029- 3 2.10000+ 1 3.30000+ 1 1.54205- 5 1.00053- 3 2.10000+ 1 4.10000+ 1 8.35265- 6 1.00073- 3 2.20000+ 1 2.20000+ 1 1.34695- 3 8.95180- 4 2.20000+ 1 2.70000+ 1 8.57657- 5 9.65290- 4 2.20000+ 1 2.90000+ 1 2.03913- 4 9.80610- 4 2.20000+ 1 3.00000+ 1 3.21536- 3 9.83350- 4 2.20000+ 1 3.20000+ 1 1.34853- 5 1.00336- 3 2.20000+ 1 3.30000+ 1 1.40243- 5 1.00360- 3 2.20000+ 1 4.10000+ 1 8.09116- 6 1.00380- 3 2.70000+ 1 2.70000+ 1 1.04939- 5 1.03540- 3 2.70000+ 1 2.90000+ 1 1.15984- 5 1.05072- 3 2.70000+ 1 3.00000+ 1 1.88887- 4 1.05346- 3 2.70000+ 1 3.20000+ 1 5.52314- 7 1.07347- 3 2.70000+ 1 3.30000+ 1 5.52314- 7 1.07371- 3 2.70000+ 1 4.10000+ 1 2.20923- 6 1.07391- 3 2.90000+ 1 2.90000+ 1 1.85085- 6 1.06604- 3 2.90000+ 1 3.00000+ 1 2.07305- 4 1.06878- 3 2.90000+ 1 3.30000+ 1 1.23394- 6 1.08903- 3 2.90000+ 1 4.10000+ 1 1.23394- 6 1.08923- 3 3.00000+ 1 3.00000+ 1 2.95535- 4 1.07152- 3 3.00000+ 1 3.20000+ 1 1.66593- 5 1.09153- 3 3.00000+ 1 3.30000+ 1 2.15948- 5 1.09177- 3 3.00000+ 1 4.10000+ 1 2.09768- 5 1.09197- 3 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.76061- 3 6.40230- 4 1.90000+ 1 4.22472- 4 6.57890- 4 2.90000+ 1 4.14312- 4 8.36630- 4 3.00000+ 1 6.24853- 5 8.39370- 4 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.20000+ 1 8.74704- 3 1.21000- 5 1.40000+ 1 3.30000+ 1 1.15341- 3 1.23400- 5 1.40000+ 1 4.10000+ 1 1.70060- 3 1.25400- 5 1.60000+ 1 1.80000+ 1 4.83803- 3 3.61100- 4 1.60000+ 1 1.90000+ 1 3.61784- 3 3.78760- 4 1.60000+ 1 2.10000+ 1 1.05488- 1 4.69000- 4 1.60000+ 1 2.20000+ 1 1.41866- 2 4.72070- 4 1.60000+ 1 2.70000+ 1 2.75547- 5 5.42180- 4 1.60000+ 1 2.90000+ 1 5.55055- 4 5.57500- 4 1.60000+ 1 3.00000+ 1 3.14938- 4 5.60240- 4 1.60000+ 1 3.20000+ 1 4.92070- 4 5.80250- 4 1.60000+ 1 3.30000+ 1 6.69213- 5 5.80490- 4 1.60000+ 1 4.10000+ 1 3.93655- 6 5.80690- 4 1.80000+ 1 1.80000+ 1 1.99574- 3 4.15500- 4 1.80000+ 1 1.90000+ 1 1.60764- 2 4.33160- 4 1.80000+ 1 2.10000+ 1 8.67847- 2 5.23400- 4 1.80000+ 1 2.20000+ 1 7.60890- 3 5.26470- 4 1.80000+ 1 2.70000+ 1 4.76296- 4 5.96580- 4 1.80000+ 1 2.90000+ 1 4.92040- 4 6.11900- 4 1.80000+ 1 3.00000+ 1 1.71232- 3 6.14640- 4 1.80000+ 1 3.20000+ 1 4.01503- 4 6.34650- 4 1.80000+ 1 3.30000+ 1 3.93631- 5 6.34890- 4 1.80000+ 1 4.10000+ 1 4.32999- 5 6.35090- 4 1.90000+ 1 1.90000+ 1 6.10545- 3 4.50820- 4 1.90000+ 1 2.10000+ 1 1.91395- 1 5.41060- 4 1.90000+ 1 2.20000+ 1 7.20769- 3 5.44130- 4 1.90000+ 1 2.70000+ 1 4.21201- 4 6.14240- 4 1.90000+ 1 2.90000+ 1 1.67700- 3 6.29560- 4 1.90000+ 1 3.00000+ 1 1.25967- 3 6.32300- 4 1.90000+ 1 3.20000+ 1 8.93573- 4 6.52310- 4 1.90000+ 1 3.30000+ 1 3.14929- 5 6.52550- 4 1.90000+ 1 4.10000+ 1 3.93645- 5 6.52750- 4 2.10000+ 1 2.10000+ 1 1.50766- 1 6.31300- 4 2.10000+ 1 2.20000+ 1 3.09837- 1 6.34370- 4 2.10000+ 1 2.70000+ 1 1.62907- 2 7.04480- 4 2.10000+ 1 2.90000+ 1 1.23850- 2 7.19800- 4 2.10000+ 1 3.00000+ 1 2.61065- 2 7.22540- 4 2.10000+ 1 3.20000+ 1 1.61636- 3 7.42550- 4 2.10000+ 1 3.30000+ 1 1.79681- 3 7.42790- 4 2.10000+ 1 4.10000+ 1 1.62405- 3 7.42990- 4 2.20000+ 1 2.20000+ 1 5.19228- 3 6.37440- 4 2.20000+ 1 2.70000+ 1 1.23615- 3 7.07550- 4 2.20000+ 1 2.90000+ 1 7.40063- 4 7.22870- 4 2.20000+ 1 3.00000+ 1 8.14861- 4 7.25610- 4 2.20000+ 1 3.20000+ 1 1.49586- 3 7.45620- 4 2.20000+ 1 3.30000+ 1 5.11760- 5 7.45860- 4 2.20000+ 1 4.10000+ 1 1.14157- 4 7.46060- 4 2.70000+ 1 2.70000+ 1 2.23388- 6 7.77660- 4 2.70000+ 1 2.90000+ 1 3.57423- 5 7.92980- 4 2.70000+ 1 3.00000+ 1 2.23388- 5 7.95720- 4 2.70000+ 1 3.20000+ 1 4.46777- 5 8.15730- 4 2.70000+ 1 3.30000+ 1 4.46777- 6 8.15970- 4 2.90000+ 1 2.90000+ 1 2.03482- 5 8.08300- 4 2.90000+ 1 3.00000+ 1 1.24625- 4 8.11040- 4 2.90000+ 1 3.20000+ 1 3.81512- 5 8.31050- 4 2.90000+ 1 3.30000+ 1 2.54342- 6 8.31290- 4 2.90000+ 1 4.10000+ 1 2.54342- 6 8.31490- 4 3.00000+ 1 3.00000+ 1 4.24386- 5 8.13780- 4 3.00000+ 1 3.20000+ 1 7.54465- 5 8.33790- 4 3.00000+ 1 3.30000+ 1 2.35769- 6 8.34030- 4 3.00000+ 1 4.10000+ 1 2.35769- 6 8.34230- 4 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.99184- 3 6.40210- 4 3.00000+ 1 4.42066- 4 8.21690- 4 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 2.30974- 5 2.89020- 4 1.60000+ 1 1.80000+ 1 1.68225- 3 3.43420- 4 1.60000+ 1 1.90000+ 1 7.30286- 3 3.61080- 4 1.60000+ 1 2.10000+ 1 1.04519- 2 4.51320- 4 1.60000+ 1 2.20000+ 1 1.10392- 1 4.54390- 4 1.60000+ 1 2.70000+ 1 3.07982- 5 5.24500- 4 1.60000+ 1 2.90000+ 1 1.03940- 4 5.39820- 4 1.60000+ 1 3.00000+ 1 7.50677- 4 5.42560- 4 1.60000+ 1 3.20000+ 1 5.00458- 5 5.62570- 4 1.60000+ 1 3.30000+ 1 5.00458- 4 5.62810- 4 1.60000+ 1 4.10000+ 1 3.84961- 6 5.63010- 4 1.80000+ 1 1.80000+ 1 7.69944- 6 3.97820- 4 1.80000+ 1 1.90000+ 1 1.57274- 2 4.15480- 4 1.80000+ 1 2.10000+ 1 1.10497- 3 5.05720- 4 1.80000+ 1 2.20000+ 1 1.06019- 1 5.08790- 4 1.80000+ 1 2.70000+ 1 1.65550- 4 5.78900- 4 1.80000+ 1 2.90000+ 1 3.84978- 6 5.94220- 4 1.80000+ 1 3.00000+ 1 1.63227- 3 5.96960- 4 1.80000+ 1 3.20000+ 1 3.84978- 6 6.16970- 4 1.80000+ 1 3.30000+ 1 4.81224- 4 6.17210- 4 1.80000+ 1 4.10000+ 1 1.53983- 5 6.17410- 4 1.90000+ 1 1.90000+ 1 1.21110- 2 4.33140- 4 1.90000+ 1 2.10000+ 1 9.81641- 3 5.23380- 4 1.90000+ 1 2.20000+ 1 1.74506- 1 5.26450- 4 1.90000+ 1 2.70000+ 1 8.08402- 4 5.96560- 4 1.90000+ 1 2.90000+ 1 1.55900- 3 6.11880- 4 1.90000+ 1 3.00000+ 1 2.60227- 3 6.14620- 4 1.90000+ 1 3.20000+ 1 5.00453- 5 6.34630- 4 1.90000+ 1 3.30000+ 1 7.93017- 4 6.34870- 4 1.90000+ 1 4.10000+ 1 7.69903- 5 6.35070- 4 2.10000+ 1 2.10000+ 1 2.08648- 3 6.13620- 4 2.10000+ 1 2.20000+ 1 2.17821- 1 6.16690- 4 2.10000+ 1 2.70000+ 1 8.93114- 4 6.86800- 4 2.10000+ 1 2.90000+ 1 1.57825- 4 7.02120- 4 2.10000+ 1 3.00000+ 1 9.93206- 4 7.04860- 4 2.10000+ 1 3.20000+ 1 1.92474- 5 7.24870- 4 2.10000+ 1 3.30000+ 1 1.00092- 3 7.25110- 4 2.10000+ 1 4.10000+ 1 8.08409- 5 7.25310- 4 2.20000+ 1 2.20000+ 1 2.51948- 1 6.19760- 4 2.20000+ 1 2.70000+ 1 1.69505- 2 6.89870- 4 2.20000+ 1 2.90000+ 1 1.49451- 2 7.05190- 4 2.20000+ 1 3.00000+ 1 2.46074- 2 7.07930- 4 2.20000+ 1 3.20000+ 1 1.28970- 3 7.27940- 4 2.20000+ 1 3.30000+ 1 2.62159- 3 7.28180- 4 2.20000+ 1 4.10000+ 1 1.68228- 3 7.28380- 4 2.70000+ 1 2.90000+ 1 7.69915- 6 7.75300- 4 2.70000+ 1 3.00000+ 1 9.23922- 5 7.78040- 4 2.70000+ 1 3.20000+ 1 3.84963- 6 7.98050- 4 2.70000+ 1 3.30000+ 1 7.69915- 5 7.98290- 4 2.90000+ 1 3.00000+ 1 1.73230- 4 7.93360- 4 2.90000+ 1 3.30000+ 1 6.92928- 5 8.13610- 4 3.00000+ 1 3.00000+ 1 1.46288- 4 7.96100- 4 3.00000+ 1 3.20000+ 1 3.84959- 6 8.16110- 4 3.00000+ 1 3.30000+ 1 1.11637- 4 8.16350- 4 3.00000+ 1 4.10000+ 1 7.69908- 6 8.16550- 4 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.16134- 5 5.44000- 5 1.90000+ 1 5.20461- 5 7.20600- 5 2.90000+ 1 1.84568- 5 2.50800- 4 3.00000+ 1 1.75527- 5 2.53540- 4 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.70000+ 1 6.69291- 2 1.07500- 5 1.80000+ 1 2.90000+ 1 5.22747- 2 2.60700- 5 1.80000+ 1 3.00000+ 1 1.14752- 1 2.88100- 5 1.80000+ 1 3.20000+ 1 3.51989- 3 4.88200- 5 1.80000+ 1 3.30000+ 1 7.04306- 3 4.90600- 5 1.80000+ 1 4.10000+ 1 6.52180- 3 4.92600- 5 1.90000+ 1 2.70000+ 1 1.03950- 1 2.84100- 5 1.90000+ 1 2.90000+ 1 1.06178- 1 4.37300- 5 1.90000+ 1 3.00000+ 1 1.49520- 1 4.64700- 5 1.90000+ 1 3.20000+ 1 7.50517- 3 6.64800- 5 1.90000+ 1 3.30000+ 1 8.98782- 3 6.67200- 5 1.90000+ 1 4.10000+ 1 9.99085- 3 6.69200- 5 2.10000+ 1 2.10000+ 1 5.95237- 3 4.54700- 5 2.10000+ 1 2.20000+ 1 4.88714- 2 4.85400- 5 2.10000+ 1 2.70000+ 1 3.06451- 2 1.18650- 4 2.10000+ 1 2.90000+ 1 5.90676- 3 1.33970- 4 2.10000+ 1 3.00000+ 1 2.14136- 2 1.36710- 4 2.10000+ 1 3.20000+ 1 1.32380- 4 1.56720- 4 2.10000+ 1 3.30000+ 1 2.06348- 4 1.56960- 4 2.10000+ 1 4.10000+ 1 2.45225- 3 1.57160- 4 2.20000+ 1 2.20000+ 1 2.09127- 2 5.16100- 5 2.20000+ 1 2.70000+ 1 4.46839- 2 1.21720- 4 2.20000+ 1 2.90000+ 1 1.88843- 2 1.37040- 4 2.20000+ 1 3.00000+ 1 2.00432- 2 1.39780- 4 2.20000+ 1 3.20000+ 1 1.96665- 4 1.59790- 4 2.20000+ 1 3.30000+ 1 2.63019- 4 1.60030- 4 2.20000+ 1 4.10000+ 1 3.57654- 3 1.60230- 4 2.70000+ 1 2.70000+ 1 1.34894- 2 1.91830- 4 2.70000+ 1 2.90000+ 1 1.67553- 2 2.07150- 4 2.70000+ 1 3.00000+ 1 3.00633- 2 2.09890- 4 2.70000+ 1 3.20000+ 1 1.26943- 3 2.29900- 4 2.70000+ 1 3.30000+ 1 1.79996- 3 2.30140- 4 2.70000+ 1 4.10000+ 1 2.35775- 3 2.30340- 4 2.90000+ 1 2.90000+ 1 5.92112- 3 2.22470- 4 2.90000+ 1 3.00000+ 1 2.61096- 2 2.25210- 4 2.90000+ 1 3.20000+ 1 4.87122- 4 2.45220- 4 2.90000+ 1 3.30000+ 1 7.68608- 4 2.45460- 4 2.90000+ 1 4.10000+ 1 5.40162- 3 2.45660- 4 3.00000+ 1 3.00000+ 1 2.20298- 2 2.27950- 4 3.00000+ 1 3.20000+ 1 1.01760- 3 2.47960- 4 3.00000+ 1 3.30000+ 1 1.30987- 3 2.48200- 4 3.00000+ 1 4.10000+ 1 9.80785- 3 2.48400- 4 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.45349- 4 1.07900- 4 2.70000+ 1 2.59489- 5 1.81080- 4 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.20000+ 1 9.14712- 4 1.20800- 5 1.90000+ 1 3.30000+ 1 1.45473- 3 1.23200- 5 1.90000+ 1 4.10000+ 1 3.05064- 3 1.25200- 5 2.10000+ 1 2.20000+ 1 5.92310- 1 0.00000+ 0 2.10000+ 1 2.70000+ 1 9.74719- 2 6.42500- 5 2.10000+ 1 2.90000+ 1 7.02265- 2 7.95700- 5 2.10000+ 1 3.00000+ 1 1.41267- 1 8.23100- 5 2.10000+ 1 3.20000+ 1 3.83491- 3 1.02320- 4 2.10000+ 1 3.30000+ 1 7.99940- 3 1.02560- 4 2.10000+ 1 4.10000+ 1 9.89618- 3 1.02760- 4 2.20000+ 1 2.20000+ 1 1.82861- 2 0.00000+ 0 2.20000+ 1 2.70000+ 1 6.98937- 3 6.73200- 5 2.20000+ 1 2.90000+ 1 3.13104- 2 8.26400- 5 2.20000+ 1 3.00000+ 1 7.56156- 3 8.53800- 5 2.20000+ 1 3.20000+ 1 4.43151- 4 1.05390- 4 2.20000+ 1 3.30000+ 1 2.08599- 4 1.05630- 4 2.20000+ 1 4.10000+ 1 6.00560- 4 1.05830- 4 2.70000+ 1 2.70000+ 1 5.64699- 5 1.37430- 4 2.70000+ 1 2.90000+ 1 1.17075- 3 1.52750- 4 2.70000+ 1 3.00000+ 1 1.74644- 4 1.55490- 4 2.70000+ 1 3.20000+ 1 1.78323- 5 1.75500- 4 2.70000+ 1 3.30000+ 1 1.06148- 5 1.75740- 4 2.70000+ 1 4.10000+ 1 9.48236- 6 1.75940- 4 2.90000+ 1 2.90000+ 1 1.00572- 3 1.68070- 4 2.90000+ 1 3.00000+ 1 2.97228- 3 1.70810- 4 2.90000+ 1 3.20000+ 1 1.01919- 4 1.90820- 4 2.90000+ 1 3.30000+ 1 1.78090- 4 1.91060- 4 2.90000+ 1 4.10000+ 1 1.77677- 4 1.91260- 4 3.00000+ 1 3.00000+ 1 7.68905- 5 1.73550- 4 3.00000+ 1 3.20000+ 1 2.81749- 5 1.93560- 4 3.00000+ 1 3.30000+ 1 7.48372- 6 1.93800- 4 3.00000+ 1 4.10000+ 1 1.43803- 5 1.94000- 4 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.69537- 6 9.02400- 5 2.20000+ 1 3.92845- 5 9.33100- 5 2.70000+ 1 1.01092- 5 1.63420- 4 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.70000+ 1 3.71910- 2 4.65900- 5 2.10000+ 1 2.90000+ 1 2.85279- 2 6.19100- 5 2.10000+ 1 3.00000+ 1 1.17542- 1 6.46500- 5 2.10000+ 1 3.20000+ 1 1.33557- 3 8.46600- 5 2.10000+ 1 3.30000+ 1 3.55140- 3 8.49000- 5 2.10000+ 1 4.10000+ 1 3.65223- 3 8.51000- 5 2.20000+ 1 2.70000+ 1 2.10565- 1 4.96600- 5 2.20000+ 1 2.90000+ 1 2.07811- 1 6.49800- 5 2.20000+ 1 3.00000+ 1 3.34943- 1 6.77200- 5 2.20000+ 1 3.20000+ 1 1.39399- 2 8.77300- 5 2.20000+ 1 3.30000+ 1 1.55905- 2 8.79700- 5 2.20000+ 1 4.10000+ 1 2.18708- 2 8.81700- 5 2.70000+ 1 2.70000+ 1 9.96724- 6 1.19770- 4 2.70000+ 1 2.90000+ 1 7.48334- 5 1.35090- 4 2.70000+ 1 3.00000+ 1 1.45395- 3 1.37830- 4 2.70000+ 1 3.20000+ 1 9.01777- 6 1.57840- 4 2.70000+ 1 3.30000+ 1 1.97757- 5 1.58080- 4 2.70000+ 1 4.10000+ 1 2.05684- 6 1.58280- 4 2.90000+ 1 2.90000+ 1 7.48394- 6 1.50410- 4 2.90000+ 1 3.00000+ 1 6.26923- 4 1.53150- 4 2.90000+ 1 3.20000+ 1 2.15880- 6 1.73160- 4 2.90000+ 1 3.30000+ 1 8.41931- 6 1.73400- 4 2.90000+ 1 4.10000+ 1 2.73445- 6 1.73600- 4 3.00000+ 1 3.00000+ 1 1.00804- 3 1.55890- 4 3.00000+ 1 3.20000+ 1 5.29120- 5 1.75900- 4 3.00000+ 1 3.30000+ 1 7.29688- 5 1.76140- 4 3.00000+ 1 4.10000+ 1 7.59824- 5 1.76340- 4 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 2.14189- 6 8.85000- 5 3.00000+ 1 3.64769- 7 9.12400- 5 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 8.89538- 2 2.95300- 5 2.70000+ 1 2.90000+ 1 6.00897- 2 4.48500- 5 2.70000+ 1 3.00000+ 1 7.67379- 2 4.75900- 5 2.70000+ 1 3.20000+ 1 2.35002- 2 6.76000- 5 2.70000+ 1 3.30000+ 1 9.96216- 3 6.78400- 5 2.70000+ 1 4.10000+ 1 9.45546- 3 6.80400- 5 2.90000+ 1 2.90000+ 1 1.18753- 1 6.01700- 5 2.90000+ 1 3.00000+ 1 3.77595- 1 6.29100- 5 2.90000+ 1 3.20000+ 1 4.20375- 2 8.29200- 5 2.90000+ 1 3.30000+ 1 1.86205- 2 8.31600- 5 2.90000+ 1 4.10000+ 1 1.53429- 2 8.33600- 5 3.00000+ 1 3.00000+ 1 9.55102- 2 6.56500- 5 3.00000+ 1 3.20000+ 1 5.01538- 2 8.56600- 5 3.00000+ 1 3.30000+ 1 5.72109- 3 8.59000- 5 3.00000+ 1 4.10000+ 1 7.56448- 3 8.61000- 5 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 2.55299- 6 8.81700- 5 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 2.70000+ 1 1.12753- 1 2.64600- 5 2.70000+ 1 2.90000+ 1 4.38823- 2 4.17800- 5 2.70000+ 1 3.00000+ 1 1.20589- 1 4.45200- 5 2.70000+ 1 3.20000+ 1 8.75627- 3 6.45300- 5 2.70000+ 1 3.30000+ 1 2.99485- 2 6.47700- 5 2.70000+ 1 4.10000+ 1 1.17697- 2 6.49700- 5 2.90000+ 1 2.90000+ 1 2.72704- 2 5.71000- 5 2.90000+ 1 3.00000+ 1 2.86042- 1 5.98400- 5 2.90000+ 1 3.20000+ 1 2.32175- 3 7.98500- 5 2.90000+ 1 3.30000+ 1 3.92593- 2 8.00900- 5 2.90000+ 1 4.10000+ 1 5.82562- 3 8.02900- 5 3.00000+ 1 3.00000+ 1 2.11108- 1 6.25800- 5 3.00000+ 1 3.20000+ 1 1.31287- 2 8.25900- 5 3.00000+ 1 3.30000+ 1 6.92741- 2 8.28300- 5 3.00000+ 1 4.10000+ 1 1.80682- 2 8.30300- 5 1 57000 0 7 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.39489-10 1.53200- 5 3.00000+ 1 1.12620- 9 1.80600- 5 1 57000 0 9 1.38905+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 3.86159- 1 1.01800- 5 3.00000+ 1 4.10000+ 1 6.05669- 1 1.29200- 5 4.10000+ 1 4.10000+ 1 8.17208- 3 3.33700- 5 1 58000 0 0 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 8.60000- 1 2.50000+ 1 1.14000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 1 58000 0 0 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.04560- 2 3.00000+ 0 6.51330- 3 5.00000+ 0 6.16530- 3 6.00000+ 0 5.71280- 3 8.00000+ 0 1.40990- 3 1.00000+ 1 1.25990- 3 1.10000+ 1 1.17050- 3 1.30000+ 1 9.05490- 4 1.40000+ 1 8.86140- 4 1.60000+ 1 2.85010- 4 1.80000+ 1 2.28580- 4 1.90000+ 1 2.09350- 4 2.10000+ 1 1.15790- 4 2.20000+ 1 1.12440- 4 2.40000+ 1 6.85000- 6 2.50000+ 1 6.51000- 6 2.70000+ 1 4.17500- 5 2.90000+ 1 2.63500- 5 3.00000+ 1 2.35900- 5 4.10000+ 1 4.81000- 6 1 58000 0 0 1.40120+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.20820- 2 3.00000+ 0 1.15780- 2 5.00000+ 0 1.15880- 2 6.00000+ 0 9.93200- 3 8.00000+ 0 3.47880- 3 1.00000+ 1 3.40250- 3 1.10000+ 1 3.02310- 3 1.30000+ 1 2.89290- 3 1.40000+ 1 2.80210- 3 1.60000+ 1 1.05540- 3 1.80000+ 1 9.79250- 4 1.90000+ 1 8.77080- 4 2.10000+ 1 7.24370- 4 2.20000+ 1 7.02220- 4 2.40000+ 1 3.65310- 4 2.50000+ 1 3.59050- 4 2.70000+ 1 2.29240- 4 2.90000+ 1 1.81560- 4 3.00000+ 1 1.60210- 4 4.10000+ 1 2.56100- 5 1 58000 0 0 1.40120+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.29830-10 3.00000+ 0 5.52210-10 5.00000+ 0 4.63000-10 6.00000+ 0 4.95830-10 8.00000+ 0 1.46350- 9 1.00000+ 1 1.40720- 9 1.10000+ 1 1.47090- 9 1.30000+ 1 1.31560- 9 1.40000+ 1 1.33530- 9 1.60000+ 1 3.34760- 9 1.80000+ 1 3.43990- 9 1.90000+ 1 3.58320- 9 2.10000+ 1 3.86080- 9 2.20000+ 1 3.91180- 9 2.40000+ 1 5.69970- 9 2.50000+ 1 5.76150- 9 2.70000+ 1 8.00120- 9 2.90000+ 1 8.97430- 9 3.00000+ 1 9.41070- 9 4.10000+ 1 2.41000- 8 1 58000 0 0 1.40120+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.34360- 5 3.00000+ 0 2.38270- 7 5.00000+ 0 4.02090- 7 6.00000+ 0 3.74720- 7 8.00000+ 0 6.80180- 9 1.00000+ 1 6.75310- 9 1.10000+ 1 6.83270- 9 1.30000+ 1 1.22650- 9 1.40000+ 1 1.11670- 9 1.60000+ 1 1.75610-10 1.80000+ 1 3.60950-10 1.90000+ 1 2.70080-10 2.10000+ 1 6.25510-11 2.20000+ 1 5.72490-11 2.70000+ 1 9.04660-12 1 58000 0 0 1.40120+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.30690- 6 3.00000+ 0 3.60320- 6 5.00000+ 0 2.81950- 6 6.00000+ 0 2.62560- 6 8.00000+ 0 1.29240- 5 1.00000+ 1 5.68490- 6 1.10000+ 1 6.56400- 6 1.30000+ 1 7.91530- 7 1.40000+ 1 7.20370- 7 1.60000+ 1 7.64850- 6 1.80000+ 1 1.24980- 5 1.90000+ 1 3.72260- 6 2.10000+ 1 6.08720- 7 2.20000+ 1 3.22600- 7 2.70000+ 1 5.97750- 7 1 58000 0 0 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.86434- 4 3.00000+ 0 2.20935- 4 5.00000+ 0 1.91654- 4 6.00000+ 0 1.77471- 4 8.00000+ 0 1.60968- 4 1.00000+ 1 1.39948- 4 1.10000+ 1 1.28064- 4 1.30000+ 1 9.11189- 5 1.40000+ 1 8.28455- 5 1.60000+ 1 7.46261- 5 1.80000+ 1 7.27472- 5 1.90000+ 1 5.44982- 5 2.10000+ 1 4.40417- 5 2.20000+ 1 3.34877- 5 2.40000+ 1 6.85000- 6 2.50000+ 1 6.51000- 6 2.70000+ 1 2.93233- 5 2.90000+ 1 2.63500- 5 3.00000+ 1 2.35900- 5 4.10000+ 1 4.81000- 6 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.03222+ 0 3.00000+ 0 1.33421- 1 5.00000+ 0 1.47709- 1 6.00000+ 0 1.25438- 1 8.00000+ 0 5.93579- 3 1.00000+ 1 6.24205- 3 1.10000+ 1 5.92688- 3 1.30000+ 1 4.33251- 3 1.40000+ 1 4.03919- 3 1.60000+ 1 1.87817- 4 1.80000+ 1 2.04001- 4 1.90000+ 1 6.57581- 5 2.10000+ 1 3.76238- 6 2.20000+ 1 3.81379- 6 2.70000+ 1 4.63243- 9 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.30065- 2 3.00000+ 0 6.64556- 4 5.00000+ 0 7.44845- 4 6.00000+ 0 5.81604- 4 8.00000+ 0 4.91500- 6 1.00000+ 1 4.99833- 6 1.10000+ 1 4.75299- 6 1.30000+ 1 3.06497- 6 1.40000+ 1 2.83667- 6 1.60000+ 1 2.49131- 8 1.80000+ 1 2.51517- 8 1.90000+ 1 7.21917- 9 2.10000+ 1 3.42320-10 2.20000+ 1 3.43063-10 2.70000+ 1 8.11629-14 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.05662+ 1 3.00000+ 0 1.26793+ 1 5.00000+ 0 1.07229+ 1 6.00000+ 0 1.01087+ 1 8.00000+ 0 8.97086+ 0 1.00000+ 1 7.48349+ 0 1.10000+ 1 7.05696+ 0 1.30000+ 1 4.35952+ 0 1.40000+ 1 4.35290+ 0 1.60000+ 1 3.48155+ 0 1.80000+ 1 3.34059+ 0 1.90000+ 1 2.49084+ 0 2.10000+ 1 1.33339+ 0 2.20000+ 1 1.35301+ 0 2.70000+ 1 1.00000+ 0 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.26305- 3 3.00000+ 0 5.62781- 3 5.00000+ 0 5.22880- 3 6.00000+ 0 4.95372- 3 8.00000+ 0 1.24402- 3 1.00000+ 1 1.11495- 3 1.10000+ 1 1.03768- 3 1.30000+ 1 8.11306- 4 1.40000+ 1 8.00458- 4 1.60000+ 1 2.10359- 4 1.80000+ 1 1.55808- 4 1.90000+ 1 1.54845- 4 2.10000+ 1 7.17479- 5 2.20000+ 1 7.89519- 5 2.70000+ 1 1.24267- 5 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.61771- 1 3.42907- 2 6.00000+ 0 4.79371- 1 3.47432- 2 1.00000+ 1 4.65951- 2 3.91961- 2 1.10000+ 1 9.02803- 2 3.92855- 2 1.30000+ 1 5.54032- 4 3.95505- 2 1.40000+ 1 7.46762- 4 3.95699- 2 1.80000+ 1 9.91953- 3 4.02274- 2 1.90000+ 1 1.93001- 2 4.02466- 2 2.10000+ 1 1.16500- 4 4.03402- 2 2.20000+ 1 1.56780- 4 4.03436- 2 2.90000+ 1 1.67250- 3 4.04296- 2 3.00000+ 1 3.23581- 3 4.04324- 2 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 7.20379- 3 2.74294- 2 3.00000+ 0 5.00000+ 0 8.80211- 3 2.77774- 2 3.00000+ 0 6.00000+ 0 9.64949- 3 2.82299- 2 3.00000+ 0 8.00000+ 0 2.63775- 3 3.25328- 2 3.00000+ 0 1.00000+ 1 1.73381- 3 3.26828- 2 3.00000+ 0 1.10000+ 1 1.93646- 3 3.27722- 2 3.00000+ 0 1.30000+ 1 1.32403- 4 3.30372- 2 3.00000+ 0 1.40000+ 1 1.37610- 4 3.30566- 2 3.00000+ 0 1.60000+ 1 5.97348- 4 3.36577- 2 3.00000+ 0 1.80000+ 1 3.74571- 4 3.37141- 2 3.00000+ 0 1.90000+ 1 4.16433- 4 3.37333- 2 3.00000+ 0 2.10000+ 1 2.71279- 5 3.38269- 2 3.00000+ 0 2.20000+ 1 2.80263- 5 3.38303- 2 3.00000+ 0 2.70000+ 1 1.01325- 4 3.39009- 2 3.00000+ 0 2.90000+ 1 5.20990- 5 3.39163- 2 3.00000+ 0 3.00000+ 1 5.64109- 5 3.39191- 2 3.00000+ 0 4.10000+ 1 9.34231- 6 3.39379- 2 5.00000+ 0 5.00000+ 0 9.75665- 4 2.81254- 2 5.00000+ 0 6.00000+ 0 2.01198- 2 2.85779- 2 5.00000+ 0 8.00000+ 0 1.34368- 3 3.28808- 2 5.00000+ 0 1.00000+ 1 3.42594- 4 3.30308- 2 5.00000+ 0 1.10000+ 1 3.36462- 3 3.31202- 2 5.00000+ 0 1.30000+ 1 1.53776- 4 3.33852- 2 5.00000+ 0 1.40000+ 1 5.02483- 4 3.34046- 2 5.00000+ 0 1.60000+ 1 2.92827- 4 3.40057- 2 5.00000+ 0 1.80000+ 1 7.24004- 5 3.40621- 2 5.00000+ 0 1.90000+ 1 6.98319- 4 3.40813- 2 5.00000+ 0 2.10000+ 1 3.10805- 5 3.41749- 2 5.00000+ 0 2.20000+ 1 1.01149- 4 3.41783- 2 5.00000+ 0 2.70000+ 1 4.92234- 5 3.42489- 2 5.00000+ 0 2.90000+ 1 1.00603- 5 3.42643- 2 5.00000+ 0 3.00000+ 1 9.39567- 5 3.42671- 2 5.00000+ 0 4.10000+ 1 4.49124- 6 3.42859- 2 6.00000+ 0 6.00000+ 0 9.84781- 3 2.90304- 2 6.00000+ 0 8.00000+ 0 1.42715- 3 3.33333- 2 6.00000+ 0 1.00000+ 1 3.25793- 3 3.34833- 2 6.00000+ 0 1.10000+ 1 3.38562- 3 3.35727- 2 6.00000+ 0 1.30000+ 1 5.92642- 4 3.38377- 2 6.00000+ 0 1.40000+ 1 5.38585- 4 3.38571- 2 6.00000+ 0 1.60000+ 1 3.08993- 4 3.44582- 2 6.00000+ 0 1.80000+ 1 6.78158- 4 3.45146- 2 6.00000+ 0 1.90000+ 1 7.07278- 4 3.45338- 2 6.00000+ 0 2.10000+ 1 1.19638- 4 3.46274- 2 6.00000+ 0 2.20000+ 1 1.08503- 4 3.46308- 2 6.00000+ 0 2.40000+ 1 1.79652- 7 3.47363- 2 6.00000+ 0 2.70000+ 1 5.19177- 5 3.47014- 2 6.00000+ 0 2.90000+ 1 9.37725- 5 3.47168- 2 6.00000+ 0 3.00000+ 1 9.52140- 5 3.47196- 2 6.00000+ 0 4.10000+ 1 4.67077- 6 3.47384- 2 8.00000+ 0 8.00000+ 0 2.37855- 4 3.76362- 2 8.00000+ 0 1.00000+ 1 2.66966- 4 3.77862- 2 8.00000+ 0 1.10000+ 1 2.88877- 4 3.78756- 2 8.00000+ 0 1.30000+ 1 1.88633- 5 3.81406- 2 8.00000+ 0 1.40000+ 1 1.86833- 5 3.81600- 2 8.00000+ 0 1.60000+ 1 1.07437- 4 3.87611- 2 8.00000+ 0 1.80000+ 1 5.78474- 5 3.88175- 2 8.00000+ 0 1.90000+ 1 6.23383- 5 3.88367- 2 8.00000+ 0 2.10000+ 1 3.77266- 6 3.89303- 2 8.00000+ 0 2.20000+ 1 3.77266- 6 3.89337- 2 8.00000+ 0 2.70000+ 1 1.81450- 5 3.90043- 2 8.00000+ 0 2.90000+ 1 8.08445- 6 3.90197- 2 8.00000+ 0 3.00000+ 1 8.44362- 6 3.90225- 2 8.00000+ 0 4.10000+ 1 1.61691- 6 3.90413- 2 1.00000+ 1 1.00000+ 1 2.91032- 5 3.79362- 2 1.00000+ 1 1.10000+ 1 5.54754- 4 3.80256- 2 1.00000+ 1 1.30000+ 1 1.99414- 5 3.82906- 2 1.00000+ 1 1.40000+ 1 6.34156- 5 3.83100- 2 1.00000+ 1 1.60000+ 1 5.82065- 5 3.89111- 2 1.00000+ 1 1.80000+ 1 1.22161- 5 3.89675- 2 1.00000+ 1 1.90000+ 1 1.15513- 4 3.89867- 2 1.00000+ 1 2.10000+ 1 3.95227- 6 3.90803- 2 1.00000+ 1 2.20000+ 1 1.29354- 5 3.90837- 2 1.00000+ 1 2.70000+ 1 9.88013- 6 3.91543- 2 1.00000+ 1 2.90000+ 1 1.61688- 6 3.91697- 2 1.00000+ 1 3.00000+ 1 1.54495- 5 3.91725- 2 1.00000+ 1 4.10000+ 1 8.98228- 7 3.91913- 2 1.10000+ 1 1.10000+ 1 2.92290- 4 3.81150- 2 1.10000+ 1 1.30000+ 1 8.08437- 5 3.83800- 2 1.10000+ 1 1.40000+ 1 7.16798- 5 3.83994- 2 1.10000+ 1 1.60000+ 1 6.26978- 5 3.90005- 2 1.10000+ 1 1.80000+ 1 1.15874- 4 3.90569- 2 1.10000+ 1 1.90000+ 1 1.22162- 4 3.90761- 2 1.10000+ 1 2.10000+ 1 1.65280- 5 3.91697- 2 1.10000+ 1 2.20000+ 1 1.45522- 5 3.91731- 2 1.10000+ 1 2.70000+ 1 1.05995- 5 3.92437- 2 1.10000+ 1 2.90000+ 1 1.59889- 5 3.92591- 2 1.10000+ 1 3.00000+ 1 1.65280- 5 3.92619- 2 1.10000+ 1 4.10000+ 1 8.98235- 7 3.92807- 2 1.30000+ 1 1.30000+ 1 1.76463- 7 3.86450- 2 1.30000+ 1 1.40000+ 1 9.35241- 6 3.86644- 2 1.30000+ 1 1.60000+ 1 4.05851- 6 3.92655- 2 1.30000+ 1 1.80000+ 1 3.88204- 6 3.93219- 2 1.30000+ 1 1.90000+ 1 1.58815- 5 3.93412- 2 1.30000+ 1 2.20000+ 1 1.76463- 6 3.94381- 2 1.30000+ 1 2.70000+ 1 7.05805- 7 3.95088- 2 1.30000+ 1 2.90000+ 1 5.29371- 7 3.95242- 2 1.30000+ 1 3.00000+ 1 2.11740- 6 3.95269- 2 1.40000+ 1 1.40000+ 1 2.32924- 6 3.86837- 2 1.40000+ 1 1.60000+ 1 3.94186- 6 3.92848- 2 1.40000+ 1 1.80000+ 1 1.25422- 5 3.93413- 2 1.40000+ 1 1.90000+ 1 1.41546- 5 3.93605- 2 1.40000+ 1 2.10000+ 1 1.79183- 6 3.94541- 2 1.40000+ 1 2.20000+ 1 8.95863- 7 3.94574- 2 1.40000+ 1 2.70000+ 1 7.16681- 7 3.95281- 2 1.40000+ 1 2.90000+ 1 1.79183- 6 3.95435- 2 1.40000+ 1 3.00000+ 1 1.97103- 6 3.95463- 2 1.60000+ 1 1.60000+ 1 1.17014- 5 3.98860- 2 1.60000+ 1 1.80000+ 1 1.22256- 5 3.99424- 2 1.60000+ 1 1.90000+ 1 1.30990- 5 3.99616- 2 1.60000+ 1 2.10000+ 1 8.73254- 7 4.00552- 2 1.60000+ 1 2.20000+ 1 8.73254- 7 4.00585- 2 1.60000+ 1 2.70000+ 1 4.01705- 6 4.01292- 2 1.60000+ 1 2.90000+ 1 1.74661- 6 4.01446- 2 1.60000+ 1 3.00000+ 1 1.74661- 6 4.01474- 2 1.60000+ 1 4.10000+ 1 3.49302- 7 4.01662- 2 1.80000+ 1 1.80000+ 1 1.20636- 6 3.99988- 2 1.80000+ 1 1.90000+ 1 2.30936- 5 4.00181- 2 1.80000+ 1 2.10000+ 1 6.89333- 7 4.01116- 2 1.80000+ 1 2.20000+ 1 2.41271- 6 4.01150- 2 1.80000+ 1 2.70000+ 1 2.06799- 6 4.01857- 2 1.80000+ 1 2.90000+ 1 3.44671- 7 4.02011- 2 1.80000+ 1 3.00000+ 1 3.10207- 6 4.02038- 2 1.80000+ 1 4.10000+ 1 1.72345- 7 4.02226- 2 1.90000+ 1 1.90000+ 1 1.21472- 5 4.00373- 2 1.90000+ 1 2.10000+ 1 3.07949- 6 4.01309- 2 1.90000+ 1 2.20000+ 1 2.73727- 6 4.01342- 2 1.90000+ 1 2.70000+ 1 2.22405- 6 4.02049- 2 1.90000+ 1 2.90000+ 1 3.25051- 6 4.02203- 2 1.90000+ 1 3.00000+ 1 3.25051- 6 4.02231- 2 1.90000+ 1 4.10000+ 1 1.71091- 7 4.02418- 2 2.10000+ 1 2.20000+ 1 3.91894- 7 4.02278- 2 2.10000+ 1 2.70000+ 1 1.95958- 7 4.02985- 2 2.10000+ 1 2.90000+ 1 1.95958- 7 4.03139- 2 2.10000+ 1 3.00000+ 1 3.91894- 7 4.03166- 2 2.20000+ 1 2.70000+ 1 1.79657- 7 4.03018- 2 2.20000+ 1 2.90000+ 1 3.59293- 7 4.03172- 2 2.20000+ 1 3.00000+ 1 3.59293- 7 4.03200- 2 2.70000+ 1 2.70000+ 1 3.21424- 7 4.03725- 2 2.70000+ 1 2.90000+ 1 3.21424- 7 4.03879- 2 2.70000+ 1 3.00000+ 1 3.21424- 7 4.03907- 2 2.90000+ 1 3.00000+ 1 5.50002- 7 4.04061- 2 3.00000+ 1 3.00000+ 1 1.79661- 7 4.04088- 2 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.96961- 5 3.48000- 4 6.00000+ 0 5.29714- 4 8.00500- 4 1.00000+ 1 1.75251- 2 5.25340- 3 1.10000+ 1 2.66202- 2 5.34280- 3 1.30000+ 1 3.03592- 4 5.60781- 3 1.40000+ 1 4.53803- 4 5.62716- 3 1.80000+ 1 4.00893- 3 6.28472- 3 1.90000+ 1 6.29864- 3 6.30395- 3 2.10000+ 1 4.01833- 5 6.39751- 3 2.20000+ 1 6.14834- 5 6.40086- 3 2.90000+ 1 5.88974- 4 6.48695- 3 3.00000+ 1 9.09206- 4 6.48971- 3 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.47841- 2 6.29900- 5 5.00000+ 0 1.80000+ 1 3.99795- 2 1.19420- 4 5.00000+ 0 1.90000+ 1 4.92255- 2 1.38650- 4 5.00000+ 0 2.10000+ 1 1.30870- 2 2.32210- 4 5.00000+ 0 2.20000+ 1 2.11470- 2 2.35560- 4 5.00000+ 0 2.40000+ 1 7.53161- 3 3.41150- 4 5.00000+ 0 2.70000+ 1 8.88051- 3 3.06250- 4 5.00000+ 0 2.90000+ 1 5.23510- 3 3.21650- 4 5.00000+ 0 3.00000+ 1 6.27376- 3 3.24410- 4 5.00000+ 0 4.10000+ 1 8.07260- 4 3.43190- 4 6.00000+ 0 1.60000+ 1 6.72892- 2 5.15490- 4 6.00000+ 0 1.80000+ 1 2.91699- 2 5.71920- 4 6.00000+ 0 1.90000+ 1 5.34164- 2 5.91150- 4 6.00000+ 0 2.10000+ 1 6.53386- 2 6.84710- 4 6.00000+ 0 2.20000+ 1 8.31461- 2 6.88060- 4 6.00000+ 0 2.40000+ 1 1.04117- 2 7.93650- 4 6.00000+ 0 2.70000+ 1 1.09806- 2 7.58750- 4 6.00000+ 0 2.90000+ 1 3.90621- 3 7.74150- 4 6.00000+ 0 3.00000+ 1 7.04269- 3 7.76910- 4 6.00000+ 0 4.10000+ 1 1.00092- 3 7.95690- 4 8.00000+ 0 8.00000+ 0 1.26117- 2 3.69350- 3 8.00000+ 0 1.00000+ 1 2.51440- 2 3.84350- 3 8.00000+ 0 1.10000+ 1 4.57877- 2 3.93290- 3 8.00000+ 0 1.30000+ 1 3.59850- 2 4.19791- 3 8.00000+ 0 1.40000+ 1 5.03293- 2 4.21726- 3 8.00000+ 0 1.60000+ 1 4.85554- 3 4.81839- 3 8.00000+ 0 1.80000+ 1 5.31261- 3 4.87482- 3 8.00000+ 0 1.90000+ 1 9.60003- 3 4.89405- 3 8.00000+ 0 2.10000+ 1 6.26093- 3 4.98761- 3 8.00000+ 0 2.20000+ 1 8.71121- 3 4.99096- 3 8.00000+ 0 2.40000+ 1 5.83742- 5 5.09655- 3 8.00000+ 0 2.70000+ 1 8.03706- 4 5.06165- 3 8.00000+ 0 2.90000+ 1 7.36080- 4 5.07705- 3 8.00000+ 0 3.00000+ 1 1.29203- 3 5.07981- 3 8.00000+ 0 4.10000+ 1 7.33226- 5 5.09859- 3 1.00000+ 1 1.00000+ 1 1.26006- 4 3.99350- 3 1.00000+ 1 1.10000+ 1 8.54950- 4 4.08290- 3 1.00000+ 1 1.30000+ 1 1.12620- 3 4.34791- 3 1.00000+ 1 1.40000+ 1 1.36589- 2 4.36726- 3 1.00000+ 1 1.60000+ 1 3.86823- 3 4.96839- 3 1.00000+ 1 1.80000+ 1 2.56274- 5 5.02482- 3 1.00000+ 1 1.90000+ 1 1.69422- 4 5.04405- 3 1.00000+ 1 2.10000+ 1 1.95060- 4 5.13761- 3 1.00000+ 1 2.20000+ 1 1.56036- 3 5.14096- 3 1.00000+ 1 2.40000+ 1 1.99321- 5 5.24655- 3 1.00000+ 1 2.70000+ 1 6.09349- 4 5.21165- 3 1.00000+ 1 2.90000+ 1 2.84736- 6 5.22705- 3 1.00000+ 1 3.00000+ 1 2.27792- 5 5.22981- 3 1.00000+ 1 4.10000+ 1 5.55250- 5 5.24859- 3 1.10000+ 1 1.10000+ 1 1.07132- 3 4.17230- 3 1.10000+ 1 1.30000+ 1 8.61935- 3 4.43731- 3 1.10000+ 1 1.40000+ 1 5.77742- 3 4.45666- 3 1.10000+ 1 1.60000+ 1 7.03477- 3 5.05779- 3 1.10000+ 1 1.80000+ 1 1.70849- 4 5.11422- 3 1.10000+ 1 1.90000+ 1 3.38835- 4 5.13345- 3 1.10000+ 1 2.10000+ 1 8.22208- 4 5.22701- 3 1.10000+ 1 2.20000+ 1 5.70215- 4 5.23036- 3 1.10000+ 1 2.40000+ 1 6.12203- 5 5.33595- 3 1.10000+ 1 2.70000+ 1 1.10770- 3 5.30105- 3 1.10000+ 1 2.90000+ 1 2.34918- 5 5.31645- 3 1.10000+ 1 3.00000+ 1 4.34259- 5 5.31921- 3 1.10000+ 1 4.10000+ 1 1.00374- 4 5.33799- 3 1.30000+ 1 1.30000+ 1 2.02807- 3 4.70232- 3 1.30000+ 1 1.40000+ 1 7.16026- 2 4.72167- 3 1.30000+ 1 1.60000+ 1 5.22435- 3 5.32280- 3 1.30000+ 1 1.80000+ 1 3.06121- 4 5.37923- 3 1.30000+ 1 1.90000+ 1 1.85733- 3 5.39846- 3 1.30000+ 1 2.10000+ 1 6.96208- 4 5.49202- 3 1.30000+ 1 2.20000+ 1 9.02934- 3 5.49537- 3 1.30000+ 1 2.40000+ 1 6.97625- 5 5.60096- 3 1.30000+ 1 2.70000+ 1 8.15088- 4 5.56606- 3 1.30000+ 1 2.90000+ 1 4.41372- 5 5.58146- 3 1.30000+ 1 3.00000+ 1 2.50575- 4 5.58422- 3 1.30000+ 1 4.10000+ 1 7.40347- 5 5.60300- 3 1.40000+ 1 1.40000+ 1 2.01219- 2 4.74102- 3 1.40000+ 1 1.60000+ 1 7.35863- 3 5.34215- 3 1.40000+ 1 1.80000+ 1 2.62192- 3 5.39858- 3 1.40000+ 1 1.90000+ 1 1.30699- 3 5.41781- 3 1.40000+ 1 2.10000+ 1 8.91055- 3 5.51137- 3 1.40000+ 1 2.20000+ 1 5.31539- 3 5.51472- 3 1.40000+ 1 2.40000+ 1 2.21389- 4 5.62031- 3 1.40000+ 1 2.70000+ 1 1.15032- 3 5.58541- 3 1.40000+ 1 2.90000+ 1 3.57364- 4 5.60081- 3 1.40000+ 1 3.00000+ 1 1.77964- 4 5.60357- 3 1.40000+ 1 4.10000+ 1 1.03936- 4 5.62235- 3 1.60000+ 1 1.60000+ 1 4.43486- 4 5.94328- 3 1.60000+ 1 1.80000+ 1 8.20070- 4 5.99971- 3 1.60000+ 1 1.90000+ 1 1.47932- 3 6.01894- 3 1.60000+ 1 2.10000+ 1 9.06900- 4 6.11250- 3 1.60000+ 1 2.20000+ 1 1.26788- 3 6.11585- 3 1.60000+ 1 2.40000+ 1 7.11864- 6 6.22144- 3 1.60000+ 1 2.70000+ 1 1.45219- 4 6.18654- 3 1.60000+ 1 2.90000+ 1 1.13904- 4 6.20194- 3 1.60000+ 1 3.00000+ 1 1.99317- 4 6.20470- 3 1.60000+ 1 4.10000+ 1 1.35250- 5 6.22348- 3 1.80000+ 1 1.80000+ 1 1.42367- 6 6.05614- 3 1.80000+ 1 1.90000+ 1 3.41696- 5 6.07537- 3 1.80000+ 1 2.10000+ 1 4.48485- 5 6.16893- 3 1.80000+ 1 2.20000+ 1 3.08934- 4 6.17228- 3 1.80000+ 1 2.40000+ 1 2.84733- 6 6.27787- 3 1.80000+ 1 2.70000+ 1 1.28849- 4 6.24297- 3 1.80000+ 1 3.00000+ 1 4.27110- 6 6.26113- 3 1.80000+ 1 4.10000+ 1 1.13905- 5 6.27991- 3 1.90000+ 1 1.90000+ 1 2.65854- 5 6.09460- 3 1.90000+ 1 2.10000+ 1 1.86797- 4 6.18816- 3 1.90000+ 1 2.20000+ 1 1.35030- 4 6.19151- 3 1.90000+ 1 2.40000+ 1 9.79449- 6 6.29710- 3 1.90000+ 1 2.70000+ 1 2.28774- 4 6.26220- 3 1.90000+ 1 2.90000+ 1 4.89730- 6 6.27760- 3 1.90000+ 1 3.00000+ 1 6.99639- 6 6.28036- 3 1.90000+ 1 4.10000+ 1 2.09889- 5 6.29914- 3 2.10000+ 1 2.10000+ 1 5.62375- 5 6.28172- 3 2.10000+ 1 2.20000+ 1 1.20521- 3 6.28507- 3 2.10000+ 1 2.40000+ 1 8.54261- 6 6.39066- 3 2.10000+ 1 2.70000+ 1 1.41666- 4 6.35576- 3 2.10000+ 1 2.90000+ 1 6.40706- 6 6.37116- 3 2.10000+ 1 3.00000+ 1 2.56279- 5 6.37392- 3 2.10000+ 1 4.10000+ 1 1.28139- 5 6.39270- 3 2.20000+ 1 2.20000+ 1 3.68797- 4 6.28842- 3 2.20000+ 1 2.40000+ 1 2.19014- 5 6.39401- 3 2.20000+ 1 2.70000+ 1 1.96412- 4 6.35911- 3 2.20000+ 1 2.90000+ 1 4.16822- 5 6.37451- 3 2.20000+ 1 3.00000+ 1 1.83695- 5 6.37727- 3 2.20000+ 1 4.10000+ 1 1.76623- 5 6.39605- 3 2.40000+ 1 2.70000+ 1 7.11864- 7 6.46470- 3 2.40000+ 1 3.00000+ 1 1.42365- 6 6.48286- 3 2.70000+ 1 2.70000+ 1 1.21022- 5 6.42980- 3 2.70000+ 1 2.90000+ 1 1.77966- 5 6.44520- 3 2.70000+ 1 3.00000+ 1 3.13230- 5 6.44796- 3 2.70000+ 1 4.10000+ 1 2.13563- 6 6.46674- 3 2.90000+ 1 3.00000+ 1 1.17105- 6 6.46336- 3 2.90000+ 1 4.10000+ 1 2.34197- 6 6.48214- 3 3.00000+ 1 3.00000+ 1 2.52793- 7 6.46612- 3 3.00000+ 1 4.10000+ 1 1.01112- 6 6.48490- 3 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.63879- 7 4.52500- 4 8.00000+ 0 4.45537- 3 4.75540- 3 1.10000+ 1 7.24765- 5 4.99480- 3 1.30000+ 1 9.74613- 2 5.25981- 3 1.60000+ 1 7.27655- 4 5.88029- 3 1.90000+ 1 1.17659- 5 5.95595- 3 2.10000+ 1 1.61809- 2 6.04951- 3 2.40000+ 1 1.66449- 6 6.15845- 3 2.70000+ 1 1.06279- 4 6.12355- 3 3.00000+ 1 2.07038- 6 6.14171- 3 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.04652- 2 1.67490- 4 6.00000+ 0 1.80000+ 1 5.04543- 2 2.23920- 4 6.00000+ 0 1.90000+ 1 1.70597- 2 2.43150- 4 6.00000+ 0 2.10000+ 1 6.43291- 2 3.36710- 4 6.00000+ 0 2.20000+ 1 2.36441- 2 3.40060- 4 6.00000+ 0 2.40000+ 1 3.22355- 4 4.45650- 4 6.00000+ 0 2.70000+ 1 1.59974- 3 4.10750- 4 6.00000+ 0 2.90000+ 1 6.61104- 3 4.26150- 4 6.00000+ 0 3.00000+ 1 2.27852- 3 4.28910- 4 6.00000+ 0 4.10000+ 1 1.44588- 4 4.47690- 4 8.00000+ 0 8.00000+ 0 9.61874- 4 3.34550- 3 8.00000+ 0 1.00000+ 1 2.43060- 2 3.49550- 3 8.00000+ 0 1.10000+ 1 2.34563- 3 3.58490- 3 8.00000+ 0 1.30000+ 1 2.06248- 3 3.84991- 3 8.00000+ 0 1.40000+ 1 3.19174- 3 3.86926- 3 8.00000+ 0 1.60000+ 1 3.43592- 4 4.47039- 3 8.00000+ 0 1.80000+ 1 3.50157- 3 4.52682- 3 8.00000+ 0 1.90000+ 1 4.37145- 4 4.54605- 3 8.00000+ 0 2.10000+ 1 2.57692- 4 4.63961- 3 8.00000+ 0 2.20000+ 1 3.43592- 4 4.64296- 3 8.00000+ 0 2.40000+ 1 1.61591- 5 4.74855- 3 8.00000+ 0 2.70000+ 1 5.61320- 5 4.71365- 3 8.00000+ 0 2.90000+ 1 4.54174- 4 4.72905- 3 8.00000+ 0 3.00000+ 1 5.78326- 5 4.73181- 3 8.00000+ 0 4.10000+ 1 5.10278- 6 4.75059- 3 1.00000+ 1 1.00000+ 1 2.40755- 2 3.64550- 3 1.00000+ 1 1.10000+ 1 7.36636- 2 3.73490- 3 1.00000+ 1 1.30000+ 1 3.92821- 2 3.99991- 3 1.00000+ 1 1.40000+ 1 6.58801- 2 4.01926- 3 1.00000+ 1 1.60000+ 1 5.60475- 3 4.62039- 3 1.00000+ 1 1.80000+ 1 8.69882- 3 4.67682- 3 1.00000+ 1 1.90000+ 1 1.51764- 2 4.69605- 3 1.00000+ 1 2.10000+ 1 6.82182- 3 4.78961- 3 1.00000+ 1 2.20000+ 1 1.14347- 2 4.79296- 3 1.00000+ 1 2.40000+ 1 6.37867- 5 4.89855- 3 1.00000+ 1 2.70000+ 1 9.53417- 4 4.86365- 3 1.00000+ 1 2.90000+ 1 1.17871- 3 4.87905- 3 1.00000+ 1 3.00000+ 1 2.03691- 3 4.88181- 3 1.00000+ 1 4.10000+ 1 8.76005- 5 4.90059- 3 1.10000+ 1 1.10000+ 1 1.90761- 3 3.82430- 3 1.10000+ 1 1.30000+ 1 4.53206- 2 4.08931- 3 1.10000+ 1 1.40000+ 1 6.16417- 3 4.10866- 3 1.10000+ 1 1.60000+ 1 4.63516- 4 4.70979- 3 1.10000+ 1 1.80000+ 1 1.09986- 2 4.76622- 3 1.10000+ 1 1.90000+ 1 6.65927- 4 4.78545- 3 1.10000+ 1 2.10000+ 1 6.73589- 3 4.87901- 3 1.10000+ 1 2.20000+ 1 8.60685- 4 4.88236- 3 1.10000+ 1 2.40000+ 1 4.16734- 5 4.98795- 3 1.10000+ 1 2.70000+ 1 7.65450- 5 4.95305- 3 1.10000+ 1 2.90000+ 1 1.43476- 3 4.96845- 3 1.10000+ 1 3.00000+ 1 8.67492- 5 4.97121- 3 1.10000+ 1 4.10000+ 1 6.80396- 6 4.98999- 3 1.30000+ 1 1.30000+ 1 4.16799- 2 4.35432- 3 1.30000+ 1 1.40000+ 1 1.77190- 1 4.37367- 3 1.30000+ 1 1.60000+ 1 4.81375- 4 4.97480- 3 1.30000+ 1 1.80000+ 1 5.84364- 3 5.03123- 3 1.30000+ 1 1.90000+ 1 8.81257- 3 5.05046- 3 1.30000+ 1 2.10000+ 1 1.23248- 2 5.14402- 3 1.30000+ 1 2.20000+ 1 2.80773- 2 5.14737- 3 1.30000+ 1 2.40000+ 1 2.60252- 4 5.25296- 3 1.30000+ 1 2.70000+ 1 8.24969- 5 5.21806- 3 1.30000+ 1 2.90000+ 1 7.67141- 4 5.23346- 3 1.30000+ 1 3.00000+ 1 1.17106- 3 5.23622- 3 1.30000+ 1 4.10000+ 1 7.65460- 6 5.25500- 3 1.40000+ 1 1.40000+ 1 8.46171- 3 4.39302- 3 1.40000+ 1 1.60000+ 1 6.16619- 4 4.99415- 3 1.40000+ 1 1.80000+ 1 8.73045- 3 5.05058- 3 1.40000+ 1 1.90000+ 1 1.09717- 3 5.06981- 3 1.40000+ 1 2.10000+ 1 2.21294- 2 5.16337- 3 1.40000+ 1 2.20000+ 1 2.44091- 3 5.16672- 3 1.40000+ 1 2.40000+ 1 1.07159- 4 5.27231- 3 1.40000+ 1 2.70000+ 1 1.01218- 4 5.23741- 3 1.40000+ 1 2.90000+ 1 1.11498- 3 5.25281- 3 1.40000+ 1 3.00000+ 1 1.43730- 4 5.25557- 3 1.40000+ 1 4.10000+ 1 9.35547- 6 5.27435- 3 1.60000+ 1 1.60000+ 1 2.97686- 5 5.59528- 3 1.60000+ 1 1.80000+ 1 8.12259- 4 5.65171- 3 1.60000+ 1 1.90000+ 1 8.67552- 5 5.67094- 3 1.60000+ 1 2.10000+ 1 5.78364- 5 5.76450- 3 1.60000+ 1 2.20000+ 1 6.80443- 5 5.76785- 3 1.60000+ 1 2.40000+ 1 3.40211- 6 5.87344- 3 1.60000+ 1 2.70000+ 1 9.35595- 6 5.83854- 3 1.60000+ 1 2.90000+ 1 1.05463- 4 5.85394- 3 1.60000+ 1 3.00000+ 1 1.10568- 5 5.85670- 3 1.60000+ 1 4.10000+ 1 8.50554- 7 5.87548- 3 1.80000+ 1 1.80000+ 1 7.16265- 4 5.70814- 3 1.80000+ 1 1.90000+ 1 2.16252- 3 5.72737- 3 1.80000+ 1 2.10000+ 1 9.52058- 4 5.82093- 3 1.80000+ 1 2.20000+ 1 1.45438- 3 5.82428- 3 1.80000+ 1 2.40000+ 1 7.29243- 6 5.92987- 3 1.80000+ 1 2.70000+ 1 1.32076- 4 5.89497- 3 1.80000+ 1 2.90000+ 1 1.92836- 4 5.91037- 3 1.80000+ 1 3.00000+ 1 2.90070- 4 5.91313- 3 1.80000+ 1 4.10000+ 1 1.21533- 5 5.93191- 3 1.90000+ 1 1.90000+ 1 5.79250- 5 5.74660- 3 1.90000+ 1 2.10000+ 1 1.30373- 3 5.84016- 3 1.90000+ 1 2.20000+ 1 1.55310- 4 5.84351- 3 1.90000+ 1 2.40000+ 1 6.71616- 6 5.94910- 3 1.90000+ 1 2.70000+ 1 1.42718- 5 5.91420- 3 1.90000+ 1 2.90000+ 1 2.92145- 4 5.92960- 3 1.90000+ 1 3.00000+ 1 1.51117- 5 5.93236- 3 1.90000+ 1 4.10000+ 1 1.67903- 6 5.95114- 3 2.10000+ 1 2.10000+ 1 8.94368- 4 5.93372- 3 2.10000+ 1 2.20000+ 1 3.59551- 3 5.93707- 3 2.10000+ 1 2.40000+ 1 2.70258- 5 6.04266- 3 2.10000+ 1 2.70000+ 1 1.01352- 5 6.00776- 3 2.10000+ 1 2.90000+ 1 1.30059- 4 6.02316- 3 2.10000+ 1 3.00000+ 1 1.74825- 4 6.02592- 3 2.10000+ 1 4.10000+ 1 8.44582- 7 6.04470- 3 2.20000+ 1 2.20000+ 1 2.02956- 4 5.94042- 3 2.20000+ 1 2.40000+ 1 1.36610- 5 6.04601- 3 2.20000+ 1 2.70000+ 1 1.26848- 5 6.01111- 3 2.20000+ 1 2.90000+ 1 2.23450- 4 6.02651- 3 2.20000+ 1 3.00000+ 1 2.34183- 5 6.02927- 3 2.20000+ 1 4.10000+ 1 9.75792- 7 6.04805- 3 2.40000+ 1 2.70000+ 1 8.50494- 7 6.11670- 3 2.40000+ 1 2.90000+ 1 8.50494- 7 6.13210- 3 2.40000+ 1 3.00000+ 1 8.50494- 7 6.13486- 3 2.70000+ 1 2.70000+ 1 1.02461- 6 6.08180- 3 2.70000+ 1 2.90000+ 1 2.15160- 5 6.09720- 3 2.70000+ 1 3.00000+ 1 2.04922- 6 6.09996- 3 2.90000+ 1 2.90000+ 1 1.73009- 5 6.11260- 3 2.90000+ 1 3.00000+ 1 5.08219- 5 6.11536- 3 2.90000+ 1 4.10000+ 1 2.16267- 6 6.13414- 3 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.16369- 3 4.30290- 3 1.00000+ 1 4.85599- 5 4.45290- 3 1.10000+ 1 4.49529- 5 4.54230- 3 1.30000+ 1 9.46468- 3 4.80731- 3 1.40000+ 1 8.38199- 2 4.82666- 3 1.60000+ 1 8.57009- 4 5.42779- 3 1.80000+ 1 5.58679- 6 5.48422- 3 1.90000+ 1 5.38599- 6 5.50345- 3 2.10000+ 1 1.52070- 3 5.59701- 3 2.20000+ 1 1.35920- 2 5.60036- 3 2.40000+ 1 2.52120- 7 5.70595- 3 2.50000+ 1 1.44690- 6 5.70629- 3 2.70000+ 1 1.43630- 4 5.67105- 3 2.90000+ 1 9.83388- 7 5.68645- 3 3.00000+ 1 8.89019- 7 5.68921- 3 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.27377- 3 2.89300- 3 8.00000+ 0 1.00000+ 1 8.58381- 4 3.04300- 3 8.00000+ 0 1.10000+ 1 2.79374- 2 3.13240- 3 8.00000+ 0 1.30000+ 1 2.78284- 3 3.39741- 3 8.00000+ 0 1.40000+ 1 3.25868- 3 3.41676- 3 8.00000+ 0 1.60000+ 1 4.55718- 4 4.01789- 3 8.00000+ 0 1.80000+ 1 1.49151- 4 4.07432- 3 8.00000+ 0 1.90000+ 1 4.01705- 3 4.09355- 3 8.00000+ 0 2.10000+ 1 2.54400- 4 4.18711- 3 8.00000+ 0 2.20000+ 1 2.72695- 4 4.19046- 3 8.00000+ 0 2.40000+ 1 1.92165- 5 4.29605- 3 8.00000+ 0 2.70000+ 1 7.41235- 5 4.26115- 3 8.00000+ 0 2.90000+ 1 2.01327- 5 4.27655- 3 8.00000+ 0 3.00000+ 1 5.06975- 4 4.27931- 3 8.00000+ 0 4.10000+ 1 6.40548- 6 4.29809- 3 1.00000+ 1 1.00000+ 1 2.65379- 4 3.19300- 3 1.00000+ 1 1.10000+ 1 4.65476- 2 3.28240- 3 1.00000+ 1 1.30000+ 1 2.92926- 3 3.54741- 3 1.00000+ 1 1.40000+ 1 2.62634- 2 3.56676- 3 1.00000+ 1 1.60000+ 1 1.65629- 4 4.16789- 3 1.00000+ 1 1.80000+ 1 9.33412- 5 4.22432- 3 1.00000+ 1 1.90000+ 1 6.94288- 3 4.24355- 3 1.00000+ 1 2.10000+ 1 4.72196- 4 4.33711- 3 1.00000+ 1 2.20000+ 1 3.65594- 3 4.34046- 3 1.00000+ 1 2.40000+ 1 2.10469- 5 4.44605- 3 1.00000+ 1 2.70000+ 1 2.74532- 5 4.41115- 3 1.00000+ 1 2.90000+ 1 1.28114- 5 4.42655- 3 1.00000+ 1 3.00000+ 1 8.82143- 4 4.42931- 3 1.00000+ 1 4.10000+ 1 2.74532- 6 4.44809- 3 1.10000+ 1 1.10000+ 1 6.45456- 2 3.37180- 3 1.10000+ 1 1.30000+ 1 6.55415- 2 3.63681- 3 1.10000+ 1 1.40000+ 1 9.74194- 2 3.65616- 3 1.10000+ 1 1.60000+ 1 6.37354- 3 4.25729- 3 1.10000+ 1 1.80000+ 1 9.42149- 3 4.31372- 3 1.10000+ 1 1.90000+ 1 2.28719- 2 4.33295- 3 1.10000+ 1 2.10000+ 1 1.09426- 2 4.42651- 3 1.10000+ 1 2.20000+ 1 1.60622- 2 4.42986- 3 1.10000+ 1 2.40000+ 1 1.00661- 4 4.53545- 3 1.10000+ 1 2.70000+ 1 1.08165- 3 4.50055- 3 1.10000+ 1 2.90000+ 1 1.29767- 3 4.51595- 3 1.10000+ 1 3.00000+ 1 3.00238- 3 4.51871- 3 1.10000+ 1 4.10000+ 1 9.88320- 5 4.53749- 3 1.30000+ 1 1.30000+ 1 9.47187- 3 3.90182- 3 1.30000+ 1 1.40000+ 1 1.81209- 1 3.92117- 3 1.30000+ 1 1.60000+ 1 5.97577- 4 4.52230- 3 1.30000+ 1 1.80000+ 1 5.93006- 4 4.57873- 3 1.30000+ 1 1.90000+ 1 9.11610- 3 4.59796- 3 1.30000+ 1 2.10000+ 1 2.79194- 3 4.69152- 3 1.30000+ 1 2.20000+ 1 2.28965- 2 4.69487- 3 1.30000+ 1 2.40000+ 1 5.76519- 5 4.80046- 3 1.30000+ 1 2.70000+ 1 1.00663- 4 4.76556- 3 1.30000+ 1 2.90000+ 1 8.14464- 5 4.78096- 3 1.30000+ 1 3.00000+ 1 1.14483- 3 4.78372- 3 1.30000+ 1 4.10000+ 1 9.15141- 6 4.80250- 3 1.40000+ 1 1.40000+ 1 1.22648- 1 3.94052- 3 1.40000+ 1 1.60000+ 1 7.39406- 4 4.54165- 3 1.40000+ 1 1.80000+ 1 4.94909- 3 4.59808- 3 1.40000+ 1 1.90000+ 1 1.51769- 2 4.61731- 3 1.40000+ 1 2.10000+ 1 2.70036- 2 4.71087- 3 1.40000+ 1 2.20000+ 1 3.46430- 2 4.71422- 3 1.40000+ 1 2.40000+ 1 6.08545- 4 4.81981- 3 1.40000+ 1 2.70000+ 1 1.25372- 4 4.78491- 3 1.40000+ 1 2.90000+ 1 6.72618- 4 4.80031- 3 1.40000+ 1 3.00000+ 1 1.95106- 3 4.80307- 3 1.40000+ 1 4.10000+ 1 1.18965- 5 4.82185- 3 1.60000+ 1 1.60000+ 1 4.03746- 5 5.14278- 3 1.60000+ 1 1.80000+ 1 2.93618- 5 5.19921- 3 1.60000+ 1 1.90000+ 1 9.22132- 4 5.21844- 3 1.60000+ 1 2.10000+ 1 5.87256- 5 5.31200- 3 1.60000+ 1 2.20000+ 1 6.69846- 5 5.31535- 3 1.60000+ 1 2.40000+ 1 2.75276- 6 5.42094- 3 1.60000+ 1 2.70000+ 1 1.28461- 5 5.38604- 3 1.60000+ 1 2.90000+ 1 3.67021- 6 5.40144- 3 1.60000+ 1 3.00000+ 1 1.16533- 4 5.40420- 3 1.60000+ 1 4.10000+ 1 9.17619- 7 5.42298- 3 1.80000+ 1 1.80000+ 1 6.96149- 6 5.25564- 3 1.80000+ 1 1.90000+ 1 1.33567- 3 5.27487- 3 1.80000+ 1 2.10000+ 1 8.87580- 5 5.36843- 3 1.80000+ 1 2.20000+ 1 6.76124- 4 5.37178- 3 1.80000+ 1 2.40000+ 1 2.61052- 6 5.47737- 3 1.80000+ 1 2.70000+ 1 4.35080- 6 5.44247- 3 1.80000+ 1 2.90000+ 1 1.74027- 6 5.45787- 3 1.80000+ 1 3.00000+ 1 1.69681- 4 5.46063- 3 1.90000+ 1 1.90000+ 1 1.75868- 3 5.29410- 3 1.90000+ 1 2.10000+ 1 1.36787- 3 5.38766- 3 1.90000+ 1 2.20000+ 1 2.21674- 3 5.39101- 3 1.90000+ 1 2.40000+ 1 1.06732- 5 5.49660- 3 1.90000+ 1 2.70000+ 1 1.40399- 4 5.46170- 3 1.90000+ 1 2.90000+ 1 1.73233- 4 5.47710- 3 1.90000+ 1 3.00000+ 1 4.58956- 4 5.47986- 3 1.90000+ 1 4.10000+ 1 1.31364- 5 5.49864- 3 2.10000+ 1 2.10000+ 1 1.99490- 4 5.48122- 3 2.10000+ 1 2.20000+ 1 3.49966- 3 5.48457- 3 2.10000+ 1 2.40000+ 1 6.37610- 6 5.59016- 3 2.10000+ 1 2.70000+ 1 1.00200- 5 5.55526- 3 2.10000+ 1 2.90000+ 1 1.27526- 5 5.57066- 3 2.10000+ 1 3.00000+ 1 1.90380- 4 5.57342- 3 2.10000+ 1 4.10000+ 1 9.10939- 7 5.59220- 3 2.20000+ 1 2.20000+ 1 2.57970- 3 5.48792- 3 2.20000+ 1 2.40000+ 1 6.53321- 5 5.59351- 3 2.20000+ 1 2.70000+ 1 1.15293- 5 5.55861- 3 2.20000+ 1 2.90000+ 1 1.01839- 4 5.57401- 3 2.20000+ 1 3.00000+ 1 3.32435- 4 5.57677- 3 2.20000+ 1 4.10000+ 1 9.60825- 7 5.59555- 3 2.40000+ 1 3.00000+ 1 1.83020- 6 5.68236- 3 2.70000+ 1 2.70000+ 1 1.15218- 6 5.62930- 3 2.70000+ 1 2.90000+ 1 1.15218- 6 5.64470- 3 2.70000+ 1 3.00000+ 1 2.53476- 5 5.64746- 3 2.90000+ 1 3.00000+ 1 3.11159- 5 5.66286- 3 3.00000+ 1 3.00000+ 1 4.82571- 5 5.66562- 3 3.00000+ 1 4.10000+ 1 2.68081- 6 5.68440- 3 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.14319- 5 1.50000- 4 1.10000+ 1 9.56526- 5 2.39400- 4 1.80000+ 1 2.96638- 4 1.18132- 3 1.90000+ 1 3.82722- 4 1.20055- 3 2.90000+ 1 5.60244- 5 1.38355- 3 3.00000+ 1 7.03367- 5 1.38631- 3 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 8.58743- 2 3.42100- 5 1.00000+ 1 2.20000+ 1 1.18528- 1 3.75600- 5 1.00000+ 1 2.40000+ 1 6.68488- 3 1.43150- 4 1.00000+ 1 2.50000+ 1 8.91334- 3 1.43490- 4 1.00000+ 1 2.70000+ 1 9.96413- 3 1.08250- 4 1.00000+ 1 2.90000+ 1 8.27499- 3 1.23650- 4 1.00000+ 1 3.00000+ 1 1.36262- 2 1.26410- 4 1.00000+ 1 4.10000+ 1 8.97181- 4 1.45190- 4 1.10000+ 1 1.80000+ 1 8.83699- 2 1.08200- 5 1.10000+ 1 1.90000+ 1 1.31097- 1 3.00500- 5 1.10000+ 1 2.10000+ 1 6.04468- 2 1.23610- 4 1.10000+ 1 2.20000+ 1 8.74035- 2 1.26960- 4 1.10000+ 1 2.40000+ 1 1.53448- 2 2.32550- 4 1.10000+ 1 2.50000+ 1 1.92048- 2 2.32890- 4 1.10000+ 1 2.70000+ 1 1.32789- 2 1.97650- 4 1.10000+ 1 2.90000+ 1 1.12855- 2 2.13050- 4 1.10000+ 1 3.00000+ 1 1.67979- 2 2.15810- 4 1.10000+ 1 4.10000+ 1 1.21126- 3 2.34590- 4 1.30000+ 1 1.60000+ 1 3.21930- 2 2.19400- 4 1.30000+ 1 1.80000+ 1 6.98075- 3 2.75830- 4 1.30000+ 1 1.90000+ 1 5.68036- 3 2.95060- 4 1.30000+ 1 2.10000+ 1 9.63515- 3 3.88620- 4 1.30000+ 1 2.20000+ 1 1.20181- 2 3.91970- 4 1.30000+ 1 2.40000+ 1 7.53130- 4 4.97560- 4 1.30000+ 1 2.50000+ 1 7.48132- 4 4.97900- 4 1.30000+ 1 2.70000+ 1 3.69283- 3 4.62660- 4 1.30000+ 1 2.90000+ 1 7.60342- 4 4.78060- 4 1.30000+ 1 3.00000+ 1 5.90925- 4 4.80820- 4 1.30000+ 1 4.10000+ 1 3.21376- 4 4.99600- 4 1.40000+ 1 1.60000+ 1 4.68273- 2 2.38750- 4 1.40000+ 1 1.80000+ 1 1.62294- 3 2.95180- 4 1.40000+ 1 1.90000+ 1 1.35634- 2 3.14410- 4 1.40000+ 1 2.10000+ 1 1.27445- 2 4.07970- 4 1.40000+ 1 2.20000+ 1 1.96830- 2 4.11320- 4 1.40000+ 1 2.40000+ 1 9.03946- 4 5.16910- 4 1.40000+ 1 2.50000+ 1 1.35744- 3 5.17250- 4 1.40000+ 1 2.70000+ 1 5.33359- 3 4.82010- 4 1.40000+ 1 2.90000+ 1 1.68639- 4 4.97410- 4 1.40000+ 1 3.00000+ 1 1.41452- 3 5.00170- 4 1.40000+ 1 4.10000+ 1 4.63800- 4 5.18950- 4 1.60000+ 1 1.60000+ 1 6.88537- 3 8.39880- 4 1.60000+ 1 1.80000+ 1 1.13441- 2 8.96310- 4 1.60000+ 1 1.90000+ 1 2.06978- 2 9.15540- 4 1.60000+ 1 2.10000+ 1 2.15991- 2 1.00910- 3 1.60000+ 1 2.20000+ 1 3.14041- 2 1.01245- 3 1.60000+ 1 2.40000+ 1 9.70140- 4 1.11804- 3 1.60000+ 1 2.50000+ 1 1.22846- 3 1.11838- 3 1.60000+ 1 2.70000+ 1 1.93266- 3 1.08314- 3 1.60000+ 1 2.90000+ 1 1.55991- 3 1.09854- 3 1.60000+ 1 3.00000+ 1 2.76791- 3 1.10130- 3 1.60000+ 1 4.10000+ 1 1.73673- 4 1.12008- 3 1.80000+ 1 1.80000+ 1 5.78366- 4 9.52740- 4 1.80000+ 1 1.90000+ 1 1.43545- 3 9.71970- 4 1.80000+ 1 2.10000+ 1 8.70869- 4 1.06553- 3 1.80000+ 1 2.20000+ 1 3.76379- 4 1.06888- 3 1.80000+ 1 2.40000+ 1 1.97784- 5 1.17447- 3 1.80000+ 1 2.50000+ 1 6.53299- 5 1.17481- 3 1.80000+ 1 2.70000+ 1 1.18852- 3 1.13957- 3 1.80000+ 1 2.90000+ 1 1.28260- 4 1.15497- 3 1.80000+ 1 3.00000+ 1 1.51637- 4 1.15773- 3 1.80000+ 1 4.10000+ 1 1.03087- 4 1.17651- 3 1.90000+ 1 1.90000+ 1 1.84596- 3 9.91200- 4 1.90000+ 1 2.10000+ 1 9.51147- 4 1.08476- 3 1.90000+ 1 2.20000+ 1 2.51391- 3 1.08811- 3 1.90000+ 1 2.40000+ 1 6.60499- 5 1.19370- 3 1.90000+ 1 2.50000+ 1 1.15448- 4 1.19404- 3 1.90000+ 1 2.70000+ 1 2.08549- 3 1.15880- 3 1.90000+ 1 2.90000+ 1 1.59096- 4 1.17420- 3 1.90000+ 1 3.00000+ 1 4.15241- 4 1.17696- 3 1.90000+ 1 4.10000+ 1 1.81496- 4 1.19574- 3 2.10000+ 1 2.10000+ 1 2.63867- 4 1.17832- 3 2.10000+ 1 2.20000+ 1 1.10110- 3 1.18167- 3 2.10000+ 1 2.40000+ 1 6.04162- 5 1.28726- 3 2.10000+ 1 2.50000+ 1 4.50679- 4 1.28760- 3 2.10000+ 1 2.70000+ 1 2.30017- 3 1.25236- 3 2.10000+ 1 2.90000+ 1 9.12457- 5 1.26776- 3 2.10000+ 1 3.00000+ 1 1.06659- 4 1.27052- 3 2.10000+ 1 4.10000+ 1 1.99753- 4 1.28930- 3 2.20000+ 1 2.20000+ 1 6.54387- 4 1.18502- 3 2.20000+ 1 2.40000+ 1 4.53191- 4 1.29061- 3 2.20000+ 1 2.50000+ 1 2.54393- 4 1.29095- 3 2.20000+ 1 2.70000+ 1 3.27426- 3 1.25571- 3 2.20000+ 1 2.90000+ 1 3.80689- 5 1.27111- 3 2.20000+ 1 3.00000+ 1 2.78556- 4 1.27387- 3 2.20000+ 1 4.10000+ 1 2.83994- 4 1.29265- 3 2.40000+ 1 2.50000+ 1 4.04625- 5 1.39654- 3 2.40000+ 1 2.70000+ 1 8.53580- 5 1.36130- 3 2.40000+ 1 2.90000+ 1 1.66284- 6 1.37670- 3 2.40000+ 1 3.00000+ 1 6.65147- 6 1.37946- 3 2.40000+ 1 4.10000+ 1 7.20567- 6 1.39824- 3 2.50000+ 1 2.50000+ 1 1.66297- 6 1.39688- 3 2.50000+ 1 2.70000+ 1 1.08092- 4 1.36164- 3 2.50000+ 1 2.90000+ 1 7.76047- 6 1.37704- 3 2.50000+ 1 3.00000+ 1 1.05321- 5 1.37980- 3 2.50000+ 1 4.10000+ 1 9.42341- 6 1.39858- 3 2.70000+ 1 2.70000+ 1 9.47123- 5 1.32640- 3 2.70000+ 1 2.90000+ 1 1.29758- 4 1.34180- 3 2.70000+ 1 3.00000+ 1 2.30150- 4 1.34456- 3 2.70000+ 1 4.10000+ 1 1.70485- 5 1.36334- 3 2.90000+ 1 2.90000+ 1 3.73014- 6 1.35720- 3 2.90000+ 1 3.00000+ 1 9.01434- 6 1.35996- 3 2.90000+ 1 4.10000+ 1 7.46017- 6 1.37874- 3 3.00000+ 1 3.00000+ 1 1.49553- 5 1.36272- 3 3.00000+ 1 4.10000+ 1 1.57026- 5 1.38150- 3 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.41529- 4 3.54410- 4 1.60000+ 1 3.46386- 4 9.74890- 4 2.10000+ 1 1.53191- 3 1.14411- 3 2.70000+ 1 5.90543- 5 1.21815- 3 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.40000+ 1 4.90941- 3 8.25500- 5 1.10000+ 1 2.50000+ 1 5.99868- 3 8.28900- 5 1.10000+ 1 2.70000+ 1 8.39154- 3 4.76500- 5 1.10000+ 1 2.90000+ 1 8.08190- 3 6.30500- 5 1.10000+ 1 3.00000+ 1 9.38470- 3 6.58100- 5 1.10000+ 1 4.10000+ 1 7.06891- 4 8.45900- 5 1.30000+ 1 1.60000+ 1 1.16703- 1 6.94000- 5 1.30000+ 1 1.80000+ 1 1.17359- 1 1.25830- 4 1.30000+ 1 1.90000+ 1 1.66399- 1 1.45060- 4 1.30000+ 1 2.10000+ 1 5.13490- 2 2.38620- 4 1.30000+ 1 2.20000+ 1 5.72238- 2 2.41970- 4 1.30000+ 1 2.40000+ 1 2.36170- 2 3.47560- 4 1.30000+ 1 2.50000+ 1 3.51724- 2 3.47900- 4 1.30000+ 1 2.70000+ 1 1.97634- 2 3.12660- 4 1.30000+ 1 2.90000+ 1 1.40511- 2 3.28060- 4 1.30000+ 1 3.00000+ 1 2.12295- 2 3.30820- 4 1.30000+ 1 4.10000+ 1 1.81185- 3 3.49600- 4 1.40000+ 1 1.60000+ 1 1.96840- 2 8.87500- 5 1.40000+ 1 1.80000+ 1 1.38991- 1 1.45180- 4 1.40000+ 1 1.90000+ 1 1.41980- 2 1.64410- 4 1.40000+ 1 2.10000+ 1 2.60837- 3 2.57970- 4 1.40000+ 1 2.20000+ 1 6.71982- 3 2.61320- 4 1.40000+ 1 2.40000+ 1 6.65735- 4 3.66910- 4 1.40000+ 1 2.50000+ 1 5.64023- 4 3.67250- 4 1.40000+ 1 2.70000+ 1 2.22688- 3 3.32010- 4 1.40000+ 1 2.90000+ 1 1.36371- 2 3.47410- 4 1.40000+ 1 3.00000+ 1 1.65372- 3 3.50170- 4 1.40000+ 1 4.10000+ 1 1.95099- 4 3.68950- 4 1.60000+ 1 1.60000+ 1 7.46216- 4 6.89880- 4 1.60000+ 1 1.80000+ 1 1.04392- 2 7.46310- 4 1.60000+ 1 1.90000+ 1 1.69801- 3 7.65540- 4 1.60000+ 1 2.10000+ 1 3.63705- 4 8.59100- 4 1.60000+ 1 2.20000+ 1 1.16750- 3 8.62450- 4 1.60000+ 1 2.40000+ 1 1.70392- 5 9.68040- 4 1.60000+ 1 2.50000+ 1 5.93448- 5 9.68380- 4 1.60000+ 1 2.70000+ 1 1.98008- 4 9.33140- 4 1.60000+ 1 2.90000+ 1 9.75367- 4 9.48540- 4 1.60000+ 1 3.00000+ 1 2.03882- 4 9.51300- 4 1.60000+ 1 4.10000+ 1 1.76267- 5 9.70080- 4 1.80000+ 1 1.80000+ 1 7.87540- 3 8.02740- 4 1.80000+ 1 1.90000+ 1 2.43663- 2 8.21970- 4 1.80000+ 1 2.10000+ 1 2.21402- 2 9.15530- 4 1.80000+ 1 2.20000+ 1 3.67418- 2 9.18880- 4 1.80000+ 1 2.40000+ 1 8.38202- 4 1.02447- 3 1.80000+ 1 2.50000+ 1 1.45389- 3 1.02481- 3 1.80000+ 1 2.70000+ 1 1.82530- 3 9.89570- 4 1.80000+ 1 2.90000+ 1 1.84376- 3 1.00497- 3 1.80000+ 1 3.00000+ 1 3.23471- 3 1.00773- 3 1.80000+ 1 4.10000+ 1 1.67267- 4 1.02651- 3 1.90000+ 1 1.90000+ 1 7.25219- 4 8.41200- 4 1.90000+ 1 2.10000+ 1 2.23303- 3 9.34760- 4 1.90000+ 1 2.20000+ 1 1.68174- 3 9.38110- 4 1.90000+ 1 2.40000+ 1 6.55884- 4 1.04370- 3 1.90000+ 1 2.50000+ 1 1.95961- 4 1.04404- 3 1.90000+ 1 2.70000+ 1 2.17963- 4 1.00880- 3 1.90000+ 1 2.90000+ 1 2.53627- 3 1.02420- 3 1.90000+ 1 3.00000+ 1 1.61970- 4 1.02696- 3 1.90000+ 1 4.10000+ 1 1.86634- 5 1.04574- 3 2.10000+ 1 2.10000+ 1 7.41836- 4 1.02832- 3 2.10000+ 1 2.20000+ 1 2.03524- 3 1.03167- 3 2.10000+ 1 2.40000+ 1 7.90577- 5 1.13726- 3 2.10000+ 1 2.50000+ 1 1.33748- 4 1.13760- 3 2.10000+ 1 2.70000+ 1 5.46867- 5 1.10236- 3 2.10000+ 1 2.90000+ 1 2.01337- 3 1.11776- 3 2.10000+ 1 3.00000+ 1 2.21118- 4 1.12052- 3 2.10000+ 1 4.10000+ 1 4.75547- 6 1.13930- 3 2.20000+ 1 2.20000+ 1 3.58739- 4 1.03502- 3 2.20000+ 1 2.40000+ 1 2.09771- 4 1.14061- 3 2.20000+ 1 2.50000+ 1 4.31886- 5 1.14095- 3 2.20000+ 1 2.70000+ 1 1.12371- 4 1.10571- 3 2.20000+ 1 2.90000+ 1 2.51419- 3 1.12111- 3 2.20000+ 1 3.00000+ 1 1.15468- 4 1.12387- 3 2.20000+ 1 4.10000+ 1 1.01364- 5 1.14265- 3 2.40000+ 1 2.50000+ 1 6.78133- 5 1.24654- 3 2.40000+ 1 2.70000+ 1 9.04180- 7 1.21130- 3 2.40000+ 1 2.90000+ 1 5.28957- 5 1.22670- 3 2.40000+ 1 3.00000+ 1 5.47038- 5 1.22946- 3 2.50000+ 1 2.50000+ 1 4.52110- 7 1.24688- 3 2.50000+ 1 2.70000+ 1 6.78157- 6 1.21164- 3 2.50000+ 1 2.90000+ 1 9.22302- 5 1.22704- 3 2.50000+ 1 3.00000+ 1 1.49190- 5 1.22980- 3 2.50000+ 1 4.10000+ 1 4.52110- 7 1.24858- 3 2.70000+ 1 2.70000+ 1 1.08799- 5 1.17640- 3 2.70000+ 1 2.90000+ 1 1.32447- 4 1.19180- 3 2.70000+ 1 3.00000+ 1 1.89200- 5 1.19456- 3 2.70000+ 1 4.10000+ 1 1.89200- 6 1.21334- 3 2.90000+ 1 2.90000+ 1 9.82025- 5 1.20720- 3 2.90000+ 1 3.00000+ 1 2.96366- 4 1.20996- 3 2.90000+ 1 4.10000+ 1 1.51980- 5 1.22874- 3 3.00000+ 1 3.00000+ 1 1.09689- 5 1.21272- 3 3.00000+ 1 4.10000+ 1 2.35040- 6 1.23150- 3 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.96426- 5 2.65010- 4 1.40000+ 1 2.24510- 4 2.84360- 4 1.60000+ 1 4.46362- 4 8.85490- 4 2.10000+ 1 1.91406- 4 1.05471- 3 2.20000+ 1 1.57059- 3 1.05806- 3 2.70000+ 1 7.62926- 5 1.12875- 3 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.80000+ 1 1.68620- 2 3.64300- 5 1.30000+ 1 1.90000+ 1 9.21799- 2 5.56600- 5 1.30000+ 1 2.10000+ 1 1.31550- 2 1.49220- 4 1.30000+ 1 2.20000+ 1 1.03221- 2 1.52570- 4 1.30000+ 1 2.40000+ 1 2.37208- 3 2.58160- 4 1.30000+ 1 2.50000+ 1 3.50517- 3 2.58500- 4 1.30000+ 1 2.70000+ 1 3.11791- 3 2.23260- 4 1.30000+ 1 2.90000+ 1 2.13413- 3 2.38660- 4 1.30000+ 1 3.00000+ 1 9.60227- 3 2.41420- 4 1.30000+ 1 4.10000+ 1 2.78701- 4 2.60200- 4 1.40000+ 1 1.60000+ 1 9.85735- 2 0.00000+ 0 1.40000+ 1 1.80000+ 1 1.09464- 1 5.57800- 5 1.40000+ 1 1.90000+ 1 2.04346- 1 7.50100- 5 1.40000+ 1 2.10000+ 1 5.30989- 2 1.68570- 4 1.40000+ 1 2.20000+ 1 8.43871- 2 1.71920- 4 1.40000+ 1 2.40000+ 1 2.18473- 2 2.77510- 4 1.40000+ 1 2.50000+ 1 2.58097- 2 2.77850- 4 1.40000+ 1 2.70000+ 1 1.75102- 2 2.42610- 4 1.40000+ 1 2.90000+ 1 1.41392- 2 2.58010- 4 1.40000+ 1 3.00000+ 1 2.39261- 2 2.60770- 4 1.40000+ 1 4.10000+ 1 1.57900- 3 2.79550- 4 1.60000+ 1 1.60000+ 1 7.84122- 4 6.00480- 4 1.60000+ 1 1.80000+ 1 1.14980- 3 6.56910- 4 1.60000+ 1 1.90000+ 1 1.67334- 2 6.76140- 4 1.60000+ 1 2.10000+ 1 1.00555- 3 7.69700- 4 1.60000+ 1 2.20000+ 1 1.08941- 3 7.73050- 4 1.60000+ 1 2.40000+ 1 1.03153- 4 8.78640- 4 1.60000+ 1 2.50000+ 1 1.56827- 4 8.78980- 4 1.60000+ 1 2.70000+ 1 2.07148- 4 8.43740- 4 1.60000+ 1 2.90000+ 1 1.31667- 4 8.59140- 4 1.60000+ 1 3.00000+ 1 1.55233- 3 8.61900- 4 1.60000+ 1 4.10000+ 1 1.84503- 5 8.80680- 4 1.80000+ 1 1.80000+ 1 1.81861- 4 7.13340- 4 1.80000+ 1 1.90000+ 1 2.00615- 2 7.32570- 4 1.80000+ 1 2.10000+ 1 5.36840- 4 8.26130- 4 1.80000+ 1 2.20000+ 1 3.42453- 3 8.29480- 4 1.80000+ 1 2.40000+ 1 1.07543- 4 9.35070- 4 1.80000+ 1 2.50000+ 1 6.41770- 4 9.35410- 4 1.80000+ 1 2.70000+ 1 1.40768- 4 9.00170- 4 1.80000+ 1 2.90000+ 1 3.84721- 5 9.15570- 4 1.80000+ 1 3.00000+ 1 1.87983- 3 9.18330- 4 1.80000+ 1 4.10000+ 1 1.22409- 5 9.37110- 4 1.90000+ 1 1.90000+ 1 2.66275- 2 7.51800- 4 1.90000+ 1 2.10000+ 1 3.53624- 2 8.45360- 4 1.90000+ 1 2.20000+ 1 4.79069- 2 8.48710- 4 1.90000+ 1 2.40000+ 1 1.88253- 3 9.54300- 4 1.90000+ 1 2.50000+ 1 2.12371- 3 9.54640- 4 1.90000+ 1 2.70000+ 1 2.61780- 3 9.19400- 4 1.90000+ 1 2.90000+ 1 2.48209- 3 9.34800- 4 1.90000+ 1 3.00000+ 1 6.02065- 3 9.37560- 4 1.90000+ 1 4.10000+ 1 2.39494- 4 9.56340- 4 2.10000+ 1 2.10000+ 1 2.20773- 4 9.38920- 4 2.10000+ 1 2.20000+ 1 3.19283- 3 9.42270- 4 2.10000+ 1 2.40000+ 1 3.40171- 5 1.04786- 3 2.10000+ 1 2.50000+ 1 4.31840- 4 1.04820- 3 2.10000+ 1 2.70000+ 1 9.23345- 5 1.01296- 3 2.10000+ 1 2.90000+ 1 3.74908- 5 1.02836- 3 2.10000+ 1 3.00000+ 1 2.86525- 3 1.03112- 3 2.10000+ 1 4.10000+ 1 8.33118- 6 1.04990- 3 2.20000+ 1 2.20000+ 1 1.51800- 3 9.45620- 4 2.20000+ 1 2.40000+ 1 2.83584- 4 1.05121- 3 2.20000+ 1 2.50000+ 1 2.57636- 4 1.05155- 3 2.20000+ 1 2.70000+ 1 9.11074- 5 1.01631- 3 2.20000+ 1 2.90000+ 1 2.14801- 4 1.03171- 3 2.20000+ 1 3.00000+ 1 3.34506- 3 1.03447- 3 2.20000+ 1 4.10000+ 1 7.84374- 6 1.05325- 3 2.40000+ 1 2.50000+ 1 1.02943- 4 1.15714- 3 2.40000+ 1 2.70000+ 1 9.17978- 6 1.12190- 3 2.40000+ 1 2.90000+ 1 9.17978- 6 1.13730- 3 2.40000+ 1 3.00000+ 1 1.35727- 4 1.14006- 3 2.40000+ 1 4.10000+ 1 6.55702- 7 1.15884- 3 2.50000+ 1 2.50000+ 1 5.90132- 6 1.15748- 3 2.50000+ 1 2.70000+ 1 1.11467- 5 1.12224- 3 2.50000+ 1 2.90000+ 1 5.50771- 5 1.13764- 3 2.50000+ 1 3.00000+ 1 1.56708- 4 1.14040- 3 2.50000+ 1 4.10000+ 1 6.55699- 7 1.15918- 3 2.70000+ 1 2.70000+ 1 1.22145- 5 1.08700- 3 2.70000+ 1 2.90000+ 1 1.36512- 5 1.10240- 3 2.70000+ 1 3.00000+ 1 2.18416- 4 1.10516- 3 2.70000+ 1 4.10000+ 1 2.15536- 6 1.12394- 3 2.90000+ 1 2.90000+ 1 1.69328- 6 1.11780- 3 2.90000+ 1 3.00000+ 1 2.48070- 4 1.12056- 3 2.90000+ 1 4.10000+ 1 1.69328- 6 1.13934- 3 3.00000+ 1 3.00000+ 1 4.25119- 4 1.12332- 3 3.00000+ 1 4.10000+ 1 2.88901- 5 1.14210- 3 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.93691- 3 6.76910- 4 1.90000+ 1 4.43022- 4 6.96140- 4 2.40000+ 1 2.28191- 4 8.98640- 4 2.90000+ 1 4.62482- 4 8.79140- 4 3.00000+ 1 6.86833- 5 8.81900- 4 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 2.62971- 2 1.25000- 5 1.40000+ 1 2.50000+ 1 4.38084- 3 1.28400- 5 1.40000+ 1 4.10000+ 1 3.82230- 4 1.45400- 5 1.60000+ 1 1.80000+ 1 4.49161- 3 3.91900- 4 1.60000+ 1 1.90000+ 1 3.29320- 3 4.11130- 4 1.60000+ 1 2.10000+ 1 9.89338- 2 5.04690- 4 1.60000+ 1 2.20000+ 1 1.31461- 2 5.08040- 4 1.60000+ 1 2.40000+ 1 2.67707- 3 6.13630- 4 1.60000+ 1 2.50000+ 1 9.44639- 4 6.13970- 4 1.60000+ 1 2.70000+ 1 2.61353- 5 5.78730- 4 1.60000+ 1 2.90000+ 1 4.85396- 4 5.94130- 4 1.60000+ 1 3.00000+ 1 2.68837- 4 5.96890- 4 1.60000+ 1 4.10000+ 1 3.73386- 6 6.15670- 4 1.80000+ 1 1.80000+ 1 1.96028- 3 4.48330- 4 1.80000+ 1 1.90000+ 1 1.52115- 2 4.67560- 4 1.80000+ 1 2.10000+ 1 8.19259- 2 5.61120- 4 1.80000+ 1 2.20000+ 1 7.16116- 3 5.64470- 4 1.80000+ 1 2.40000+ 1 1.81451- 3 6.70060- 4 1.80000+ 1 2.50000+ 1 1.08277- 3 6.70400- 4 1.80000+ 1 2.70000+ 1 4.36852- 4 6.35160- 4 1.80000+ 1 2.90000+ 1 4.48044- 4 6.50560- 4 1.80000+ 1 3.00000+ 1 1.51212- 3 6.53320- 4 1.80000+ 1 4.10000+ 1 3.73380- 5 6.72100- 4 1.90000+ 1 1.90000+ 1 5.73143- 3 4.86790- 4 1.90000+ 1 2.10000+ 1 1.79967- 1 5.80350- 4 1.90000+ 1 2.20000+ 1 6.75809- 3 5.83700- 4 1.90000+ 1 2.40000+ 1 1.39642- 3 6.89290- 4 1.90000+ 1 2.50000+ 1 6.01142- 4 6.89630- 4 1.90000+ 1 2.70000+ 1 3.73389- 4 6.54390- 4 1.90000+ 1 2.90000+ 1 1.47854- 3 6.69790- 4 1.90000+ 1 3.00000+ 1 1.10141- 3 6.72550- 4 1.90000+ 1 4.10000+ 1 3.36044- 5 6.91330- 4 2.10000+ 1 2.10000+ 1 1.44127- 1 6.73910- 4 2.10000+ 1 2.20000+ 1 2.95738- 1 6.77260- 4 2.10000+ 1 2.40000+ 1 9.13293- 3 7.82850- 4 2.10000+ 1 2.50000+ 1 1.22276- 2 7.83190- 4 2.10000+ 1 2.70000+ 1 1.48376- 2 7.47950- 4 2.10000+ 1 2.90000+ 1 1.10509- 2 7.63350- 4 2.10000+ 1 3.00000+ 1 2.30744- 2 7.66110- 4 2.10000+ 1 4.10000+ 1 1.34387- 3 7.84890- 4 2.20000+ 1 2.20000+ 1 4.89141- 3 6.80610- 4 2.20000+ 1 2.40000+ 1 8.42738- 3 7.86200- 4 2.20000+ 1 2.50000+ 1 5.48885- 4 7.86540- 4 2.20000+ 1 2.70000+ 1 1.10893- 3 7.51300- 4 2.20000+ 1 2.90000+ 1 6.49703- 4 7.66700- 4 2.20000+ 1 3.00000+ 1 7.09425- 4 7.69460- 4 2.20000+ 1 4.10000+ 1 9.33461- 5 7.88240- 4 2.40000+ 1 2.50000+ 1 1.95645- 3 8.92130- 4 2.40000+ 1 2.70000+ 1 4.03268- 4 8.56890- 4 2.40000+ 1 2.90000+ 1 1.90423- 4 8.72290- 4 2.40000+ 1 3.00000+ 1 1.68026- 4 8.75050- 4 2.40000+ 1 4.10000+ 1 3.73396- 5 8.93830- 4 2.50000+ 1 2.50000+ 1 7.46762- 6 8.92470- 4 2.50000+ 1 2.70000+ 1 1.00814- 4 8.57230- 4 2.50000+ 1 2.90000+ 1 7.09419- 5 8.72630- 4 2.50000+ 1 3.00000+ 1 6.72096- 5 8.75390- 4 2.50000+ 1 4.10000+ 1 7.46762- 6 8.94170- 4 2.70000+ 1 2.70000+ 1 5.31054- 6 8.21990- 4 2.70000+ 1 2.90000+ 1 7.43460- 5 8.37390- 4 2.70000+ 1 3.00000+ 1 4.77940- 5 8.40150- 4 2.90000+ 1 2.90000+ 1 3.26866- 5 8.52790- 4 2.90000+ 1 3.00000+ 1 1.96125- 4 8.55550- 4 2.90000+ 1 4.10000+ 1 4.66981- 6 8.74330- 4 3.00000+ 1 3.00000+ 1 1.56544- 4 8.58310- 4 3.00000+ 1 4.10000+ 1 1.04366- 5 8.77090- 4 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.22511- 3 6.76790- 4 2.40000+ 1 1.15450- 5 8.79290- 4 2.50000+ 1 2.25851- 4 8.79630- 4 3.00000+ 1 5.06172- 4 8.62550- 4 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.12828- 5 3.16120- 4 1.60000+ 1 1.80000+ 1 1.52694- 3 3.72550- 4 1.60000+ 1 1.90000+ 1 6.96867- 3 3.91780- 4 1.60000+ 1 2.10000+ 1 1.00373- 2 4.85340- 4 1.60000+ 1 2.20000+ 1 1.06556- 1 4.88690- 4 1.60000+ 1 2.40000+ 1 9.02588- 4 5.94280- 4 1.60000+ 1 2.50000+ 1 2.86192- 3 5.94620- 4 1.60000+ 1 2.70000+ 1 2.63248- 5 5.59380- 4 1.60000+ 1 2.90000+ 1 8.64986- 5 5.74780- 4 1.60000+ 1 3.00000+ 1 6.69416- 4 5.77540- 4 1.60000+ 1 4.10000+ 1 3.76085- 6 5.96320- 4 1.80000+ 1 1.80000+ 1 7.52100- 6 4.28980- 4 1.80000+ 1 1.90000+ 1 1.53653- 2 4.48210- 4 1.80000+ 1 2.10000+ 1 1.04546- 3 5.41770- 4 1.80000+ 1 2.20000+ 1 1.03010- 1 5.45120- 4 1.80000+ 1 2.40000+ 1 3.91092- 4 6.50710- 4 1.80000+ 1 2.50000+ 1 1.38766- 3 6.51050- 4 1.80000+ 1 2.70000+ 1 1.46653- 4 6.15810- 4 1.80000+ 1 2.90000+ 1 3.76066- 6 6.31210- 4 1.80000+ 1 3.00000+ 1 1.48169- 3 6.33970- 4 1.80000+ 1 4.10000+ 1 1.12822- 5 6.52750- 4 1.90000+ 1 1.90000+ 1 1.18685- 2 4.67440- 4 1.90000+ 1 2.10000+ 1 9.55956- 3 5.61000- 4 1.90000+ 1 2.20000+ 1 1.68980- 1 5.64350- 4 1.90000+ 1 2.40000+ 1 7.93498- 4 6.69940- 4 1.90000+ 1 2.50000+ 1 1.89540- 3 6.70280- 4 1.90000+ 1 2.70000+ 1 7.59645- 4 6.35040- 4 1.90000+ 1 2.90000+ 1 1.42526- 3 6.50440- 4 1.90000+ 1 3.00000+ 1 2.36155- 3 6.53200- 4 1.90000+ 1 4.10000+ 1 6.76906- 5 6.71980- 4 2.10000+ 1 2.10000+ 1 2.03083- 3 6.54560- 4 2.10000+ 1 2.20000+ 1 2.10801- 1 6.57910- 4 2.10000+ 1 2.40000+ 1 4.13675- 4 7.63500- 4 2.10000+ 1 2.50000+ 1 5.23108- 3 7.63840- 4 2.10000+ 1 2.70000+ 1 8.31107- 4 7.28600- 4 2.10000+ 1 2.90000+ 1 1.39138- 4 7.44000- 4 2.10000+ 1 3.00000+ 1 9.02560- 4 7.46760- 4 2.10000+ 1 4.10000+ 1 7.14515- 5 7.65540- 4 2.20000+ 1 2.20000+ 1 2.43379- 1 6.61260- 4 2.20000+ 1 2.40000+ 1 1.05985- 2 7.66850- 4 2.20000+ 1 2.50000+ 1 1.51254- 2 7.67190- 4 2.20000+ 1 2.70000+ 1 1.56449- 2 7.31950- 4 2.20000+ 1 2.90000+ 1 1.35190- 2 7.47350- 4 2.20000+ 1 3.00000+ 1 2.20305- 2 7.50110- 4 2.20000+ 1 4.10000+ 1 1.41402- 3 7.68890- 4 2.40000+ 1 2.50000+ 1 1.65083- 3 8.72780- 4 2.40000+ 1 2.70000+ 1 1.01537- 4 8.37540- 4 2.40000+ 1 2.90000+ 1 4.51277- 5 8.52940- 4 2.40000+ 1 3.00000+ 1 6.76916- 5 8.55700- 4 2.40000+ 1 4.10000+ 1 7.52118- 6 8.74480- 4 2.50000+ 1 2.50000+ 1 1.57945- 4 8.73120- 4 2.50000+ 1 2.70000+ 1 4.13677- 4 8.37880- 4 2.50000+ 1 2.90000+ 1 1.76750- 4 8.53280- 4 2.50000+ 1 3.00000+ 1 2.03084- 4 8.56040- 4 2.50000+ 1 4.10000+ 1 3.76076- 5 8.74820- 4 2.70000+ 1 2.90000+ 1 1.89475- 5 8.18040- 4 2.70000+ 1 3.00000+ 1 1.98953- 4 8.20800- 4 2.90000+ 1 3.00000+ 1 2.93751- 4 8.36200- 4 3.00000+ 1 3.00000+ 1 2.96483- 4 8.38960- 4 3.00000+ 1 4.10000+ 1 1.79683- 5 8.57740- 4 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.19538- 5 5.64300- 5 1.90000+ 1 5.67068- 5 7.56600- 5 2.90000+ 1 2.13483- 5 2.58660- 4 3.00000+ 1 1.99030- 5 2.61420- 4 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 1.31480- 2 4.95800- 5 1.80000+ 1 2.50000+ 1 2.04087- 2 4.99200- 5 1.80000+ 1 2.70000+ 1 6.18757- 2 1.46800- 5 1.80000+ 1 2.90000+ 1 4.71703- 2 3.00800- 5 1.80000+ 1 3.00000+ 1 1.02579- 1 3.28400- 5 1.80000+ 1 4.10000+ 1 5.40066- 3 5.16200- 5 1.90000+ 1 2.40000+ 1 4.19702- 2 6.88100- 5 1.90000+ 1 2.50000+ 1 4.93059- 2 6.91500- 5 1.90000+ 1 2.70000+ 1 8.61517- 2 3.39100- 5 1.90000+ 1 2.90000+ 1 8.65660- 2 4.93100- 5 1.90000+ 1 3.00000+ 1 1.19933- 1 5.20700- 5 1.90000+ 1 4.10000+ 1 7.59719- 3 7.08500- 5 2.10000+ 1 2.10000+ 1 5.40786- 3 5.34300- 5 2.10000+ 1 2.20000+ 1 4.26653- 2 5.67800- 5 2.10000+ 1 2.40000+ 1 1.38992- 3 1.62370- 4 2.10000+ 1 2.50000+ 1 3.50843- 3 1.62710- 4 2.10000+ 1 2.70000+ 1 2.67983- 2 1.27470- 4 2.10000+ 1 2.90000+ 1 5.05341- 3 1.42870- 4 2.10000+ 1 3.00000+ 1 1.80536- 2 1.45630- 4 2.10000+ 1 4.10000+ 1 1.98438- 3 1.64410- 4 2.20000+ 1 2.20000+ 1 1.85025- 2 6.01300- 5 2.20000+ 1 2.40000+ 1 4.01970- 3 1.65720- 4 2.20000+ 1 2.50000+ 1 3.41546- 3 1.66060- 4 2.20000+ 1 2.70000+ 1 3.90499- 2 1.30820- 4 2.20000+ 1 2.90000+ 1 1.60755- 2 1.46220- 4 2.20000+ 1 3.00000+ 1 1.68086- 2 1.48980- 4 2.20000+ 1 4.10000+ 1 2.88952- 3 1.67760- 4 2.40000+ 1 2.50000+ 1 3.23721- 4 2.71650- 4 2.40000+ 1 2.70000+ 1 2.65667- 3 2.36410- 4 2.40000+ 1 2.90000+ 1 3.45517- 4 2.51810- 4 2.40000+ 1 3.00000+ 1 8.21764- 4 2.54570- 4 2.40000+ 1 4.10000+ 1 1.78370- 4 2.73350- 4 2.50000+ 1 2.50000+ 1 2.95698- 5 2.71990- 4 2.50000+ 1 2.70000+ 1 3.42053- 3 2.36750- 4 2.50000+ 1 2.90000+ 1 2.73597- 4 2.52150- 4 2.50000+ 1 3.00000+ 1 1.03595- 3 2.54910- 4 2.50000+ 1 4.10000+ 1 2.29710- 4 2.73690- 4 2.70000+ 1 2.70000+ 1 1.50059- 2 2.01510- 4 2.70000+ 1 2.90000+ 1 1.82526- 2 2.16910- 4 2.70000+ 1 3.00000+ 1 3.24179- 2 2.19670- 4 2.70000+ 1 4.10000+ 1 2.40129- 3 2.38450- 4 2.90000+ 1 2.90000+ 1 6.30863- 3 2.32310- 4 2.90000+ 1 3.00000+ 1 2.76904- 2 2.35070- 4 2.90000+ 1 4.10000+ 1 5.45543- 3 2.53850- 4 3.00000+ 1 3.00000+ 1 2.48011- 2 2.37830- 4 3.00000+ 1 4.10000+ 1 1.05123- 2 2.56610- 4 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.65340- 4 1.12790- 4 2.70000+ 1 3.08910- 5 1.86830- 4 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 1.19501- 2 1.23800- 5 1.90000+ 1 2.50000+ 1 9.01989- 3 1.27200- 5 1.90000+ 1 4.10000+ 1 1.26403- 3 1.44200- 5 2.10000+ 1 2.10000+ 1 8.35972- 2 0.00000+ 0 2.10000+ 1 2.20000+ 1 5.95361- 1 3.50000- 7 2.10000+ 1 2.40000+ 1 2.67165- 2 1.05940- 4 2.10000+ 1 2.50000+ 1 5.45184- 2 1.06280- 4 2.10000+ 1 2.70000+ 1 4.02292- 2 7.10400- 5 2.10000+ 1 2.90000+ 1 2.84508- 2 8.64400- 5 2.10000+ 1 3.00000+ 1 5.61770- 2 8.92000- 5 2.10000+ 1 4.10000+ 1 3.68942- 3 1.07980- 4 2.20000+ 1 2.20000+ 1 2.56495- 2 3.70000- 6 2.20000+ 1 2.40000+ 1 6.24014- 3 1.09290- 4 2.20000+ 1 2.50000+ 1 1.68034- 3 1.09630- 4 2.20000+ 1 2.70000+ 1 6.09839- 3 7.43900- 5 2.20000+ 1 2.90000+ 1 2.70149- 2 8.97900- 5 2.20000+ 1 3.00000+ 1 6.31487- 3 9.25500- 5 2.20000+ 1 4.10000+ 1 4.81831- 4 1.11330- 4 2.40000+ 1 2.50000+ 1 4.47748- 4 2.15220- 4 2.40000+ 1 2.70000+ 1 5.59142- 4 1.79980- 4 2.40000+ 1 2.90000+ 1 1.74453- 3 1.95380- 4 2.40000+ 1 3.00000+ 1 7.98089- 4 1.98140- 4 2.40000+ 1 4.10000+ 1 4.84886- 5 2.16920- 4 2.50000+ 1 2.50000+ 1 2.62106- 6 2.15560- 4 2.50000+ 1 2.70000+ 1 2.65808- 4 1.80320- 4 2.50000+ 1 2.90000+ 1 2.85761- 3 1.95720- 4 2.50000+ 1 3.00000+ 1 2.59257- 4 1.98480- 4 2.50000+ 1 4.10000+ 1 1.90026- 5 2.17260- 4 2.70000+ 1 2.70000+ 1 7.33228- 5 1.45080- 4 2.70000+ 1 2.90000+ 1 1.46846- 3 1.60480- 4 2.70000+ 1 3.00000+ 1 2.17839- 4 1.63240- 4 2.70000+ 1 4.10000+ 1 1.12810- 5 1.82020- 4 2.90000+ 1 2.90000+ 1 1.56222- 3 1.75880- 4 2.90000+ 1 3.00000+ 1 4.57048- 3 1.78640- 4 2.90000+ 1 4.10000+ 1 2.56696- 4 1.97420- 4 3.00000+ 1 3.00000+ 1 1.59627- 4 1.81400- 4 3.00000+ 1 4.10000+ 1 2.83328- 5 2.00180- 4 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 4.25900- 6 9.35600- 5 2.20000+ 1 4.52840- 5 9.69100- 5 2.70000+ 1 1.25310- 5 1.67600- 4 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 9.53531- 3 8.67100- 5 2.10000+ 1 2.50000+ 1 2.86298- 2 8.70500- 5 2.10000+ 1 2.70000+ 1 2.84905- 2 5.18100- 5 2.10000+ 1 2.90000+ 1 2.14903- 2 6.72100- 5 2.10000+ 1 3.00000+ 1 8.80097- 2 6.99700- 5 2.10000+ 1 4.10000+ 1 2.55447- 3 8.87500- 5 2.20000+ 1 2.40000+ 1 1.24767- 1 9.00600- 5 2.20000+ 1 2.50000+ 1 1.24838- 1 9.04000- 5 2.20000+ 1 2.70000+ 1 1.49721- 1 5.51600- 5 2.20000+ 1 2.90000+ 1 1.44932- 1 7.05600- 5 2.20000+ 1 3.00000+ 1 2.31069- 1 7.33200- 5 2.20000+ 1 4.10000+ 1 1.40844- 2 9.21000- 5 2.40000+ 1 2.50000+ 1 1.25081- 3 1.95990- 4 2.40000+ 1 2.70000+ 1 1.36755- 3 1.60750- 4 2.40000+ 1 2.90000+ 1 5.81187- 4 1.76150- 4 2.40000+ 1 3.00000+ 1 8.34930- 3 1.78910- 4 2.40000+ 1 4.10000+ 1 9.21555- 5 1.97690- 4 2.50000+ 1 2.50000+ 1 7.20898- 5 1.96330- 4 2.50000+ 1 2.70000+ 1 2.92447- 3 1.61090- 4 2.50000+ 1 2.90000+ 1 2.46892- 3 1.76490- 4 2.50000+ 1 3.00000+ 1 1.01001- 2 1.79250- 4 2.50000+ 1 4.10000+ 1 2.21470- 4 1.98030- 4 2.70000+ 1 2.70000+ 1 1.13418- 5 1.25850- 4 2.70000+ 1 2.90000+ 1 9.46518- 5 1.41250- 4 2.70000+ 1 3.00000+ 1 1.83273- 3 1.44010- 4 2.70000+ 1 4.10000+ 1 2.18105- 6 1.62790- 4 2.90000+ 1 2.90000+ 1 9.23112- 6 1.56650- 4 2.90000+ 1 3.00000+ 1 8.02077- 4 1.59410- 4 2.90000+ 1 4.10000+ 1 3.28207- 6 1.78190- 4 3.00000+ 1 3.00000+ 1 1.52620- 3 1.62170- 4 3.00000+ 1 4.10000+ 1 1.07802- 4 1.80950- 4 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.29381- 7 1.08940- 4 2.90000+ 1 2.86143- 6 8.94400- 5 3.00000+ 1 4.82671- 7 9.22000- 5 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 2.40000+ 1 4.55342- 2 0.00000+ 0 2.20000+ 1 2.50000+ 1 3.67155- 3 0.00000+ 0 2.40000+ 1 2.50000+ 1 6.80222- 2 1.02430- 4 2.40000+ 1 2.70000+ 1 4.75190- 2 6.71900- 5 2.40000+ 1 2.90000+ 1 4.35566- 2 8.25900- 5 2.40000+ 1 3.00000+ 1 7.08820- 2 8.53500- 5 2.40000+ 1 4.10000+ 1 4.51920- 3 1.04130- 4 2.50000+ 1 2.50000+ 1 4.25792- 5 1.02770- 4 2.50000+ 1 2.70000+ 1 1.88667- 3 6.75300- 5 2.50000+ 1 2.90000+ 1 6.64409- 3 8.29300- 5 2.50000+ 1 3.00000+ 1 2.07590- 3 8.56900- 5 2.50000+ 1 4.10000+ 1 1.45710- 4 1.04470- 4 2.70000+ 1 2.70000+ 1 6.19019- 2 3.22900- 5 2.70000+ 1 2.90000+ 1 3.86277- 2 4.76900- 5 2.70000+ 1 3.00000+ 1 4.89528- 2 5.04500- 5 2.70000+ 1 4.10000+ 1 6.02678- 3 6.92300- 5 2.90000+ 1 2.90000+ 1 1.04552- 1 6.30900- 5 2.90000+ 1 3.00000+ 1 3.10456- 1 6.58500- 5 2.90000+ 1 4.10000+ 1 1.22299- 2 8.46300- 5 3.00000+ 1 3.00000+ 1 1.13748- 1 6.86100- 5 3.00000+ 1 4.10000+ 1 9.00153- 3 8.73900- 5 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.19609- 8 1.05590- 4 2.50000+ 1 2.41437- 7 1.05930- 4 3.00000+ 1 3.55876- 6 8.88500- 5 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.50000+ 1 1.57397- 1 9.90800- 5 2.40000+ 1 2.70000+ 1 1.94029- 2 6.38400- 5 2.40000+ 1 2.90000+ 1 1.12874- 2 7.92400- 5 2.40000+ 1 3.00000+ 1 5.22348- 2 8.20000- 5 2.40000+ 1 4.10000+ 1 1.64500- 3 1.00780- 4 2.50000+ 1 2.50000+ 1 1.57405- 2 9.94200- 5 2.50000+ 1 2.70000+ 1 1.39590- 1 6.41800- 5 2.50000+ 1 2.90000+ 1 1.39020- 1 7.95800- 5 2.50000+ 1 3.00000+ 1 2.12771- 1 8.23400- 5 2.50000+ 1 4.10000+ 1 1.33628- 2 1.01120- 4 2.70000+ 1 2.70000+ 1 5.65788- 2 2.89400- 5 2.70000+ 1 2.90000+ 1 2.01873- 2 4.43400- 5 2.70000+ 1 3.00000+ 1 5.52564- 2 4.71000- 5 2.70000+ 1 4.10000+ 1 5.41580- 3 6.58800- 5 2.90000+ 1 2.90000+ 1 5.31452- 3 5.97400- 5 2.90000+ 1 3.00000+ 1 5.14828- 2 6.25000- 5 2.90000+ 1 4.10000+ 1 1.04598- 3 8.12800- 5 3.00000+ 1 3.00000+ 1 3.90579- 2 6.52600- 5 3.00000+ 1 4.10000+ 1 3.20560- 3 8.40400- 5 1 58000 0 7 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.07321- 9 1.54000- 5 3.00000+ 1 3.55922- 9 1.81600- 5 1 58000 0 9 1.40120+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 3.89813- 1 1.05900- 5 3.00000+ 1 4.10000+ 1 6.02064- 1 1.33500- 5 4.10000+ 1 4.10000+ 1 8.12345- 3 3.21300- 5 1 59000 0 0 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 1.29000+ 0 2.50000+ 1 1.71000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 1 59000 0 0 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.20100- 2 3.00000+ 0 6.79980- 3 5.00000+ 0 6.44290- 3 6.00000+ 0 5.95440- 3 8.00000+ 0 1.48010- 3 1.00000+ 1 1.32570- 3 1.10000+ 1 1.22840- 3 1.30000+ 1 9.55980- 4 1.40000+ 1 9.34860- 4 1.60000+ 1 2.99250- 4 1.80000+ 1 2.40640- 4 1.90000+ 1 2.19560- 4 2.10000+ 1 1.22280- 4 2.20000+ 1 1.18590- 4 2.40000+ 1 7.65000- 6 2.50000+ 1 7.24000- 6 2.70000+ 1 4.33000- 5 2.90000+ 1 2.72600- 5 3.00000+ 1 2.42600- 5 4.10000+ 1 4.89000- 6 1 59000 0 0 1.40908+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.42070- 2 3.00000+ 0 1.20950- 2 5.00000+ 0 1.21040- 2 6.00000+ 0 1.03140- 2 8.00000+ 0 3.65210- 3 1.00000+ 1 3.57450- 3 1.10000+ 1 3.16240- 3 1.30000+ 1 3.03140- 3 1.40000+ 1 2.93310- 3 1.60000+ 1 1.11420- 3 1.80000+ 1 1.03580- 3 1.90000+ 1 9.23650- 4 2.10000+ 1 7.67180- 4 2.20000+ 1 7.42800- 4 2.40000+ 1 3.99110- 4 2.50000+ 1 3.92020- 4 2.70000+ 1 2.40620- 4 2.90000+ 1 1.90500- 4 3.00000+ 1 1.67070- 4 4.10000+ 1 2.62800- 5 1 59000 0 0 1.40908+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.27320-10 3.00000+ 0 5.41010-10 5.00000+ 0 4.53350-10 6.00000+ 0 4.86560-10 8.00000+ 0 1.43070- 9 1.00000+ 1 1.37400- 9 1.10000+ 1 1.43840- 9 1.30000+ 1 1.28400- 9 1.40000+ 1 1.30440- 9 1.60000+ 1 3.26540- 9 1.80000+ 1 3.35030- 9 1.90000+ 1 3.49550- 9 2.10000+ 1 3.75150- 9 2.20000+ 1 3.80210- 9 2.40000+ 1 5.41780- 9 2.50000+ 1 5.47960- 9 2.70000+ 1 7.81970- 9 2.90000+ 1 8.76580- 9 3.00000+ 1 9.20990- 9 4.10000+ 1 2.37370- 8 1 59000 0 0 1.40908+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.44500- 5 3.00000+ 0 2.59930- 7 5.00000+ 0 4.39730- 7 6.00000+ 0 4.08690- 7 8.00000+ 0 7.54190- 9 1.00000+ 1 7.52650- 9 1.10000+ 1 7.63680- 9 1.30000+ 1 1.82100- 9 1.40000+ 1 1.68070- 9 1.60000+ 1 1.94190-10 1.80000+ 1 3.95300-10 1.90000+ 1 2.91910-10 2.10000+ 1 9.19530-11 2.20000+ 1 8.43990-11 2.70000+ 1 9.90750-12 1 59000 0 0 1.40908+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.32980- 6 3.00000+ 0 3.69870- 6 5.00000+ 0 2.85970- 6 6.00000+ 0 2.67890- 6 8.00000+ 0 1.34990- 5 1.00000+ 1 6.00090- 6 1.10000+ 1 6.94300- 6 1.30000+ 1 8.71680- 7 1.40000+ 1 7.48290- 7 1.60000+ 1 8.24680- 6 1.80000+ 1 1.18360- 5 1.90000+ 1 4.34870- 6 2.10000+ 1 7.80830- 7 2.20000+ 1 5.31640- 7 2.70000+ 1 5.74580- 7 1 59000 0 0 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.70601- 4 3.00000+ 0 2.03642- 4 5.00000+ 0 1.76812- 4 6.00000+ 0 1.62886- 4 8.00000+ 0 1.48525- 4 1.00000+ 1 1.29327- 4 1.10000+ 1 1.17064- 4 1.30000+ 1 8.57036- 5 1.40000+ 1 7.61396- 5 1.60000+ 1 7.10085- 5 1.80000+ 1 6.76276- 5 1.90000+ 1 5.07525- 5 2.10000+ 1 4.29762- 5 2.20000+ 1 3.05297- 5 2.40000+ 1 7.65000- 6 2.50000+ 1 7.24000- 6 2.70000+ 1 3.01743- 5 2.90000+ 1 2.72600- 5 3.00000+ 1 2.42600- 5 4.10000+ 1 4.89000- 6 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.04362+ 0 3.00000+ 0 1.41960- 1 5.00000+ 0 1.57773- 1 6.00000+ 0 1.33450- 1 8.00000+ 0 6.56805- 3 1.00000+ 1 6.88350- 3 1.10000+ 1 6.53826- 3 1.30000+ 1 4.96023- 3 1.40000+ 1 4.64001- 3 1.60000+ 1 2.10669- 4 1.80000+ 1 2.35187- 4 1.90000+ 1 7.68318- 5 2.10000+ 1 5.42514- 6 2.20000+ 1 5.47046- 6 2.70000+ 1 1.13099- 8 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.44528- 2 3.00000+ 0 7.35009- 4 5.00000+ 0 8.28522- 4 6.00000+ 0 6.42141- 4 8.00000+ 0 5.72202- 6 1.00000+ 1 5.80891- 6 1.10000+ 1 5.52351- 6 1.30000+ 1 3.73270- 6 1.40000+ 1 3.46948- 6 1.60000+ 1 2.95163- 8 1.80000+ 1 3.05337- 8 1.90000+ 1 8.85568- 9 2.10000+ 1 5.26323-10 2.20000+ 1 5.24229-10 2.70000+ 1 2.07605-13 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.93010+ 0 3.00000+ 0 1.20051+ 1 5.00000+ 0 1.01324+ 1 6.00000+ 0 9.54937+ 0 8.00000+ 0 8.49641+ 0 1.00000+ 1 7.05617+ 0 1.10000+ 1 6.64865+ 0 1.30000+ 1 4.15966+ 0 1.40000+ 1 4.11151+ 0 1.60000+ 1 3.34024+ 0 1.80000+ 1 3.12939+ 0 1.90000+ 1 2.37539+ 0 2.10000+ 1 1.28425+ 0 2.20000+ 1 1.26688+ 0 2.70000+ 1 1.00000+ 0 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.38660- 3 3.00000+ 0 5.86115- 3 5.00000+ 0 5.43757- 3 6.00000+ 0 5.14937- 3 8.00000+ 0 1.32585- 3 1.00000+ 1 1.19056- 3 1.10000+ 1 1.10581- 3 1.30000+ 1 8.66544- 4 1.40000+ 1 8.55251- 4 1.60000+ 1 2.28212- 4 1.80000+ 1 1.72982- 4 1.90000+ 1 1.68799- 4 2.10000+ 1 7.93032- 5 2.20000+ 1 8.80597- 5 2.70000+ 1 1.31257- 5 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.62970- 1 3.55671- 2 6.00000+ 0 4.80249- 1 3.60556- 2 1.00000+ 1 4.70639- 2 4.06843- 2 1.10000+ 1 9.11188- 2 4.07816- 2 1.30000+ 1 5.84639- 4 4.10540- 2 1.40000+ 1 7.85059- 4 4.10751- 2 1.80000+ 1 1.00620- 2 4.17694- 2 1.90000+ 1 1.95640- 2 4.17904- 2 2.10000+ 1 1.24520- 4 4.18877- 2 2.20000+ 1 1.67000- 4 4.18914- 2 2.90000+ 1 1.80740- 3 4.19827- 2 3.00000+ 1 3.53409- 3 4.19857- 2 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 6.91610- 3 2.84104- 2 3.00000+ 0 5.00000+ 0 8.52798- 3 2.87673- 2 3.00000+ 0 6.00000+ 0 9.11903- 3 2.92558- 2 3.00000+ 0 8.00000+ 0 2.54905- 3 3.37301- 2 3.00000+ 0 1.00000+ 1 1.69203- 3 3.38845- 2 3.00000+ 0 1.10000+ 1 1.84719- 3 3.39818- 2 3.00000+ 0 1.30000+ 1 1.27822- 4 3.42542- 2 3.00000+ 0 1.40000+ 1 1.31178- 4 3.42753- 2 3.00000+ 0 1.60000+ 1 5.81240- 4 3.49109- 2 3.00000+ 0 1.80000+ 1 3.68534- 4 3.49696- 2 3.00000+ 0 1.90000+ 1 4.00412- 4 3.49906- 2 3.00000+ 0 2.10000+ 1 2.66723- 5 3.50879- 2 3.00000+ 0 2.20000+ 1 2.71743- 5 3.50916- 2 3.00000+ 0 2.70000+ 1 9.81229- 5 3.51669- 2 3.00000+ 0 2.90000+ 1 5.09954- 5 3.51829- 2 3.00000+ 0 3.00000+ 1 5.36784- 5 3.51859- 2 3.00000+ 0 4.10000+ 1 8.72312- 6 3.52053- 2 5.00000+ 0 5.00000+ 0 9.21226- 4 2.91242- 2 5.00000+ 0 6.00000+ 0 1.88975- 2 2.96127- 2 5.00000+ 0 8.00000+ 0 1.31174- 3 3.40870- 2 5.00000+ 0 1.00000+ 1 3.25422- 4 3.42414- 2 5.00000+ 0 1.10000+ 1 3.18632- 3 3.43387- 2 5.00000+ 0 1.30000+ 1 1.47779- 4 3.46111- 2 5.00000+ 0 1.40000+ 1 4.79407- 4 3.46322- 2 5.00000+ 0 1.60000+ 1 2.87670- 4 3.52678- 2 5.00000+ 0 1.80000+ 1 6.94432- 5 3.53265- 2 5.00000+ 0 1.90000+ 1 6.66446- 4 3.53475- 2 5.00000+ 0 2.10000+ 1 3.01930- 5 3.54448- 2 5.00000+ 0 2.20000+ 1 9.77992- 5 3.54485- 2 5.00000+ 0 2.40000+ 1 1.67740- 7 3.55594- 2 5.00000+ 0 2.70000+ 1 4.81420- 5 3.55238- 2 5.00000+ 0 2.90000+ 1 9.56147- 6 3.55398- 2 5.00000+ 0 3.00000+ 1 8.87288- 5 3.55428- 2 5.00000+ 0 4.10000+ 1 4.36130- 6 3.55622- 2 6.00000+ 0 6.00000+ 0 9.20098- 3 3.01012- 2 6.00000+ 0 8.00000+ 0 1.35536- 3 3.45755- 2 6.00000+ 0 1.00000+ 1 3.07997- 3 3.47299- 2 6.00000+ 0 1.10000+ 1 3.19116- 3 3.48272- 2 6.00000+ 0 1.30000+ 1 5.64290- 4 3.50996- 2 6.00000+ 0 1.40000+ 1 5.11110- 4 3.51207- 2 6.00000+ 0 1.60000+ 1 2.95224- 4 3.57563- 2 6.00000+ 0 1.80000+ 1 6.46304- 4 3.58150- 2 6.00000+ 0 1.90000+ 1 6.72005- 4 3.58360- 2 6.00000+ 0 2.10000+ 1 1.15739- 4 3.59333- 2 6.00000+ 0 2.20000+ 1 1.04504- 4 3.59370- 2 6.00000+ 0 2.40000+ 1 3.35488- 7 3.60479- 2 6.00000+ 0 2.70000+ 1 4.93173- 5 3.60123- 2 6.00000+ 0 2.90000+ 1 8.87308- 5 3.60283- 2 6.00000+ 0 3.00000+ 1 8.95750- 5 3.60313- 2 6.00000+ 0 4.10000+ 1 4.36139- 6 3.60507- 2 8.00000+ 0 8.00000+ 0 2.31339- 4 3.90498- 2 8.00000+ 0 1.00000+ 1 2.62372- 4 3.92042- 2 8.00000+ 0 1.10000+ 1 2.76965- 4 3.93015- 2 8.00000+ 0 1.30000+ 1 1.82854- 5 3.95739- 2 8.00000+ 0 1.40000+ 1 1.79497- 5 3.95950- 2 8.00000+ 0 1.60000+ 1 1.05182- 4 4.02306- 2 8.00000+ 0 1.80000+ 1 5.72043- 5 4.02893- 2 8.00000+ 0 1.90000+ 1 6.02240- 5 4.03103- 2 8.00000+ 0 2.10000+ 1 3.85834- 6 4.04076- 2 8.00000+ 0 2.20000+ 1 3.69062- 6 4.04113- 2 8.00000+ 0 2.70000+ 1 1.77814- 5 4.04866- 2 8.00000+ 0 2.90000+ 1 7.88449- 6 4.05026- 2 8.00000+ 0 3.00000+ 1 8.05211- 6 4.05056- 2 8.00000+ 0 4.10000+ 1 1.50984- 6 4.05250- 2 1.00000+ 1 1.00000+ 1 2.76778- 5 3.93586- 2 1.00000+ 1 1.10000+ 1 5.29062- 4 3.94559- 2 1.00000+ 1 1.30000+ 1 1.92907- 5 3.97283- 2 1.00000+ 1 1.40000+ 1 6.08907- 5 3.97494- 2 1.00000+ 1 1.60000+ 1 5.77029- 5 4.03850- 2 1.00000+ 1 1.80000+ 1 1.17412- 5 4.04437- 2 1.00000+ 1 1.90000+ 1 1.11040- 4 4.04647- 2 1.00000+ 1 2.10000+ 1 4.02585- 6 4.05620- 2 1.00000+ 1 2.20000+ 1 1.25806- 5 4.05657- 2 1.00000+ 1 2.70000+ 1 9.72849- 6 4.06410- 2 1.00000+ 1 2.90000+ 1 1.67742- 6 4.06570- 2 1.00000+ 1 3.00000+ 1 1.47616- 5 4.06600- 2 1.00000+ 1 4.10000+ 1 8.38691- 7 4.06794- 2 1.10000+ 1 1.10000+ 1 2.78120- 4 3.95532- 2 1.10000+ 1 1.30000+ 1 7.76676- 5 3.98256- 2 1.10000+ 1 1.40000+ 1 6.86064- 5 3.98467- 2 1.10000+ 1 1.60000+ 1 6.03877- 5 4.04823- 2 1.10000+ 1 1.80000+ 1 1.11380- 4 4.05410- 2 1.10000+ 1 1.90000+ 1 1.17246- 4 4.05620- 2 1.10000+ 1 2.10000+ 1 1.61030- 5 4.06593- 2 1.10000+ 1 2.20000+ 1 1.40903- 5 4.06630- 2 1.10000+ 1 2.70000+ 1 1.00641- 5 4.07383- 2 1.10000+ 1 2.90000+ 1 1.52645- 5 4.07543- 2 1.10000+ 1 3.00000+ 1 1.56001- 5 4.07573- 2 1.10000+ 1 4.10000+ 1 8.38689- 7 4.07767- 2 1.30000+ 1 1.30000+ 1 1.65275- 7 4.00980- 2 1.30000+ 1 1.40000+ 1 9.09062- 6 4.01192- 2 1.30000+ 1 1.60000+ 1 3.96665- 6 4.07548- 2 1.30000+ 1 1.80000+ 1 3.80131- 6 4.08134- 2 1.30000+ 1 1.90000+ 1 1.53707- 5 4.08345- 2 1.30000+ 1 2.20000+ 1 1.81809- 6 4.09354- 2 1.30000+ 1 2.70000+ 1 6.61083- 7 4.10107- 2 1.30000+ 1 2.90000+ 1 4.95826- 7 4.10268- 2 1.30000+ 1 3.00000+ 1 1.98333- 6 4.10298- 2 1.40000+ 1 1.40000+ 1 2.18064- 6 4.01403- 2 1.40000+ 1 1.60000+ 1 3.85807- 6 4.07759- 2 1.40000+ 1 1.80000+ 1 1.20778- 5 4.08345- 2 1.40000+ 1 1.90000+ 1 1.37548- 5 4.08556- 2 1.40000+ 1 2.10000+ 1 1.84524- 6 4.09529- 2 1.40000+ 1 2.20000+ 1 8.38696- 7 4.09565- 2 1.40000+ 1 2.70000+ 1 6.70953- 7 4.10318- 2 1.40000+ 1 2.90000+ 1 1.67743- 6 4.10479- 2 1.40000+ 1 3.00000+ 1 1.84524- 6 4.10509- 2 1.60000+ 1 1.60000+ 1 1.16365- 5 4.14115- 2 1.60000+ 1 1.80000+ 1 1.22913- 5 4.14701- 2 1.60000+ 1 1.90000+ 1 1.27836- 5 4.14912- 2 1.60000+ 1 2.10000+ 1 8.19405- 7 4.15885- 2 1.60000+ 1 2.20000+ 1 8.19405- 7 4.15922- 2 1.60000+ 1 2.70000+ 1 3.93328- 6 4.16674- 2 1.60000+ 1 2.90000+ 1 1.63885- 6 4.16835- 2 1.60000+ 1 3.00000+ 1 1.80280- 6 4.16865- 2 1.60000+ 1 4.10000+ 1 3.27770- 7 4.17059- 2 1.80000+ 1 1.80000+ 1 1.12094- 6 4.15287- 2 1.80000+ 1 1.90000+ 1 2.22600- 5 4.15498- 2 1.80000+ 1 2.10000+ 1 8.00707- 7 4.16471- 2 1.80000+ 1 2.20000+ 1 2.40217- 6 4.16508- 2 1.80000+ 1 2.70000+ 1 2.08186- 6 4.17261- 2 1.80000+ 1 2.90000+ 1 3.20291- 7 4.17421- 2 1.80000+ 1 3.00000+ 1 3.04280- 6 4.17451- 2 1.80000+ 1 4.10000+ 1 1.60145- 7 4.17645- 2 1.90000+ 1 1.90000+ 1 1.19209- 5 4.15709- 2 1.90000+ 1 2.10000+ 1 3.06095- 6 4.16682- 2 1.90000+ 1 2.20000+ 1 2.73873- 6 4.16718- 2 1.90000+ 1 2.70000+ 1 2.09428- 6 4.17471- 2 1.90000+ 1 2.90000+ 1 3.06095- 6 4.17632- 2 1.90000+ 1 3.00000+ 1 3.22202- 6 4.17662- 2 1.90000+ 1 4.10000+ 1 1.61100- 7 4.17855- 2 2.10000+ 1 2.20000+ 1 3.35486- 7 4.17691- 2 2.10000+ 1 2.70000+ 1 1.67742- 7 4.18444- 2 2.10000+ 1 2.90000+ 1 1.67742- 7 4.18605- 2 2.10000+ 1 3.00000+ 1 5.03227- 7 4.18635- 2 2.20000+ 1 2.20000+ 1 1.48761- 7 4.17728- 2 2.20000+ 1 2.70000+ 1 1.48761- 7 4.18481- 2 2.20000+ 1 2.90000+ 1 2.97523- 7 4.18641- 2 2.20000+ 1 3.00000+ 1 2.97523- 7 4.18671- 2 2.70000+ 1 2.70000+ 1 3.23323- 7 4.19234- 2 2.70000+ 1 2.90000+ 1 3.23323- 7 4.19394- 2 2.70000+ 1 3.00000+ 1 3.23323- 7 4.19424- 2 2.90000+ 1 3.00000+ 1 5.21859- 7 4.19585- 2 3.00000+ 1 3.00000+ 1 1.67740- 7 4.19615- 2 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.96489- 5 3.56900- 4 6.00000+ 0 5.79058- 4 8.45400- 4 1.00000+ 1 1.85309- 2 5.47410- 3 1.10000+ 1 2.78659- 2 5.57140- 3 1.30000+ 1 3.32829- 4 5.84382- 3 1.40000+ 1 4.97649- 4 5.86494- 3 1.80000+ 1 4.26949- 3 6.55916- 3 1.90000+ 1 6.64918- 3 6.58024- 3 2.10000+ 1 4.43179- 5 6.67752- 3 2.20000+ 1 6.78878- 5 6.68121- 3 2.90000+ 1 6.22078- 4 6.77254- 3 3.00000+ 1 9.50327- 4 6.77554- 3 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.41131- 2 5.76500- 5 5.00000+ 0 1.80000+ 1 3.97611- 2 1.16260- 4 5.00000+ 0 1.90000+ 1 4.83178- 2 1.37340- 4 5.00000+ 0 2.10000+ 1 1.28799- 2 2.34620- 4 5.00000+ 0 2.20000+ 1 2.05940- 2 2.38310- 4 5.00000+ 0 2.40000+ 1 1.21569- 2 3.49250- 4 5.00000+ 0 2.70000+ 1 8.74201- 3 3.13600- 4 5.00000+ 0 2.90000+ 1 5.16423- 3 3.29640- 4 5.00000+ 0 3.00000+ 1 6.11685- 3 3.32640- 4 5.00000+ 0 4.10000+ 1 7.73509- 4 3.52010- 4 6.00000+ 0 1.60000+ 1 6.54618- 2 5.46150- 4 6.00000+ 0 1.80000+ 1 2.82983- 2 6.04760- 4 6.00000+ 0 1.90000+ 1 5.14248- 2 6.25840- 4 6.00000+ 0 2.10000+ 1 6.51249- 2 7.23120- 4 6.00000+ 0 2.20000+ 1 8.26424- 2 7.26810- 4 6.00000+ 0 2.40000+ 1 1.69040- 2 8.37750- 4 6.00000+ 0 2.70000+ 1 1.06391- 2 8.02100- 4 6.00000+ 0 2.90000+ 1 3.76795- 3 8.18140- 4 6.00000+ 0 3.00000+ 1 6.72286- 3 8.21140- 4 6.00000+ 0 4.10000+ 1 9.42851- 4 8.40510- 4 8.00000+ 0 8.00000+ 0 1.24593- 2 3.83960- 3 8.00000+ 0 1.00000+ 1 2.48903- 2 3.99400- 3 8.00000+ 0 1.10000+ 1 4.51378- 2 4.09130- 3 8.00000+ 0 1.30000+ 1 3.54932- 2 4.36372- 3 8.00000+ 0 1.40000+ 1 4.95121- 2 4.38484- 3 8.00000+ 0 1.60000+ 1 4.83235- 3 5.02045- 3 8.00000+ 0 1.80000+ 1 5.30668- 3 5.07906- 3 8.00000+ 0 1.90000+ 1 9.54593- 3 5.10014- 3 8.00000+ 0 2.10000+ 1 6.25485- 3 5.19742- 3 8.00000+ 0 2.20000+ 1 8.67821- 3 5.20111- 3 8.00000+ 0 2.40000+ 1 9.81563- 5 5.31205- 3 8.00000+ 0 2.70000+ 1 7.96294- 4 5.27640- 3 8.00000+ 0 2.90000+ 1 7.30628- 4 5.29244- 3 8.00000+ 0 3.00000+ 1 1.27317- 3 5.29544- 3 8.00000+ 0 4.10000+ 1 7.05047- 5 5.31481- 3 1.00000+ 1 1.00000+ 1 1.20269- 4 4.14840- 3 1.00000+ 1 1.10000+ 1 8.31530- 4 4.24570- 3 1.00000+ 1 1.30000+ 1 1.13642- 3 4.51812- 3 1.00000+ 1 1.40000+ 1 1.35121- 2 4.53924- 3 1.00000+ 1 1.60000+ 1 3.84869- 3 5.17485- 3 1.00000+ 1 1.80000+ 1 2.41924- 5 5.23346- 3 1.00000+ 1 1.90000+ 1 1.65208- 4 5.25454- 3 1.00000+ 1 2.10000+ 1 1.99077- 4 5.35182- 3 1.00000+ 1 2.20000+ 1 1.55876- 3 5.35551- 3 1.00000+ 1 2.40000+ 1 3.31784- 5 5.46645- 3 1.00000+ 1 2.70000+ 1 6.03443- 4 5.43080- 3 1.00000+ 1 2.90000+ 1 2.76487- 6 5.44684- 3 1.00000+ 1 3.00000+ 1 2.21190- 5 5.44984- 3 1.00000+ 1 4.10000+ 1 5.32237- 5 5.46921- 3 1.10000+ 1 1.10000+ 1 1.06110- 3 4.34300- 3 1.10000+ 1 1.30000+ 1 8.32848- 3 4.61542- 3 1.10000+ 1 1.40000+ 1 5.56161- 3 4.63654- 3 1.10000+ 1 1.60000+ 1 6.97094- 3 5.27215- 3 1.10000+ 1 1.80000+ 1 1.66586- 4 5.33076- 3 1.10000+ 1 1.90000+ 1 3.37325- 4 5.35184- 3 1.10000+ 1 2.10000+ 1 7.94213- 4 5.44912- 3 1.10000+ 1 2.20000+ 1 5.48136- 4 5.45281- 3 1.10000+ 1 2.40000+ 1 1.01615- 4 5.56375- 3 1.10000+ 1 2.70000+ 1 1.09217- 3 5.52810- 3 1.10000+ 1 2.90000+ 1 2.28108- 5 5.54414- 3 1.10000+ 1 3.00000+ 1 4.28572- 5 5.54714- 3 1.10000+ 1 4.10000+ 1 9.60800- 5 5.56651- 3 1.30000+ 1 1.30000+ 1 2.01139- 3 4.88784- 3 1.30000+ 1 1.40000+ 1 7.04768- 2 4.90896- 3 1.30000+ 1 1.60000+ 1 5.16563- 3 5.54457- 3 1.30000+ 1 1.80000+ 1 3.11050- 4 5.60318- 3 1.30000+ 1 1.90000+ 1 1.81661- 3 5.62426- 3 1.30000+ 1 2.10000+ 1 6.99519- 4 5.72154- 3 1.30000+ 1 2.20000+ 1 8.96233- 3 5.72523- 3 1.30000+ 1 2.40000+ 1 1.16819- 4 5.83617- 3 1.30000+ 1 2.70000+ 1 8.01809- 4 5.80052- 3 1.30000+ 1 2.90000+ 1 4.49299- 5 5.81656- 3 1.30000+ 1 3.00000+ 1 2.43313- 4 5.81956- 3 1.30000+ 1 4.10000+ 1 7.05050- 5 5.83893- 3 1.40000+ 1 1.40000+ 1 1.98013- 2 4.93008- 3 1.40000+ 1 1.60000+ 1 7.25862- 3 5.56569- 3 1.40000+ 1 1.80000+ 1 2.61416- 3 5.62430- 3 1.40000+ 1 1.90000+ 1 1.27460- 3 5.64538- 3 1.40000+ 1 2.10000+ 1 8.84022- 3 5.74266- 3 1.40000+ 1 2.20000+ 1 5.27970- 3 5.74635- 3 1.40000+ 1 2.40000+ 1 3.71187- 4 5.85729- 3 1.40000+ 1 2.70000+ 1 1.12949- 3 5.82164- 3 1.40000+ 1 2.90000+ 1 3.53911- 4 5.83768- 3 1.40000+ 1 3.00000+ 1 1.72118- 4 5.84068- 3 1.40000+ 1 4.10000+ 1 9.95382- 5 5.86005- 3 1.60000+ 1 1.60000+ 1 4.43760- 4 6.20130- 3 1.60000+ 1 1.80000+ 1 8.22567- 4 6.25991- 3 1.60000+ 1 1.90000+ 1 1.47723- 3 6.28099- 3 1.60000+ 1 2.10000+ 1 9.08284- 4 6.37827- 3 1.60000+ 1 2.20000+ 1 1.26635- 3 6.38196- 3 1.60000+ 1 2.40000+ 1 1.17514- 5 6.49290- 3 1.60000+ 1 2.70000+ 1 1.45158- 4 6.45725- 3 1.60000+ 1 2.90000+ 1 1.13361- 4 6.47329- 3 1.60000+ 1 3.00000+ 1 1.96997- 4 6.47629- 3 1.60000+ 1 4.10000+ 1 1.31331- 5 6.49566- 3 1.80000+ 1 1.80000+ 1 1.38249- 6 6.31852- 3 1.80000+ 1 1.90000+ 1 3.38694- 5 6.33960- 3 1.80000+ 1 2.10000+ 1 4.63127- 5 6.43688- 3 1.80000+ 1 2.20000+ 1 3.11050- 4 6.44057- 3 1.80000+ 1 2.40000+ 1 4.14727- 6 6.55151- 3 1.80000+ 1 2.70000+ 1 1.29259- 4 6.51586- 3 1.80000+ 1 3.00000+ 1 4.14727- 6 6.53490- 3 1.80000+ 1 4.10000+ 1 1.10595- 5 6.55427- 3 1.90000+ 1 1.90000+ 1 2.68558- 5 6.36068- 3 1.90000+ 1 2.10000+ 1 1.85246- 4 6.45796- 3 1.90000+ 1 2.20000+ 1 1.33593- 4 6.46165- 3 1.90000+ 1 2.40000+ 1 1.65281- 5 6.57259- 3 1.90000+ 1 2.70000+ 1 2.30699- 4 6.53694- 3 1.90000+ 1 2.90000+ 1 4.82036- 6 6.55298- 3 1.90000+ 1 3.00000+ 1 6.88630- 6 6.55598- 3 1.90000+ 1 4.10000+ 1 2.06596- 5 6.57535- 3 2.10000+ 1 2.10000+ 1 5.73734- 5 6.55524- 3 2.10000+ 1 2.20000+ 1 1.20754- 3 6.55893- 3 2.10000+ 1 2.40000+ 1 1.45160- 5 6.66987- 3 2.10000+ 1 2.70000+ 1 1.41017- 4 6.63422- 3 2.10000+ 1 2.90000+ 1 6.22123- 6 6.65026- 3 2.10000+ 1 3.00000+ 1 2.48850- 5 6.65326- 3 2.10000+ 1 4.10000+ 1 1.24425- 5 6.67263- 3 2.20000+ 1 2.20000+ 1 3.72582- 4 6.56262- 3 2.20000+ 1 2.40000+ 1 3.73265- 5 6.67356- 3 2.20000+ 1 2.70000+ 1 1.96302- 4 6.63791- 3 2.20000+ 1 2.90000+ 1 4.21655- 5 6.65395- 3 2.20000+ 1 3.00000+ 1 1.79720- 5 6.65695- 3 2.20000+ 1 4.10000+ 1 1.72801- 5 6.67632- 3 2.40000+ 1 2.70000+ 1 2.07373- 6 6.74885- 3 2.40000+ 1 2.90000+ 1 6.91222- 7 6.76489- 3 2.40000+ 1 3.00000+ 1 2.07373- 6 6.76789- 3 2.70000+ 1 2.70000+ 1 1.29536- 5 6.71320- 3 2.70000+ 1 2.90000+ 1 1.98108- 5 6.72924- 3 2.70000+ 1 3.00000+ 1 3.42875- 5 6.73224- 3 2.70000+ 1 4.10000+ 1 2.28591- 6 6.75161- 3 2.90000+ 1 3.00000+ 1 1.35007- 6 6.74828- 3 2.90000+ 1 4.10000+ 1 2.70022- 6 6.76765- 3 3.00000+ 1 3.00000+ 1 2.94500- 7 6.75128- 3 3.00000+ 1 4.10000+ 1 1.17800- 6 6.77065- 3 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.01510- 7 4.88500- 4 8.00000+ 0 4.56331- 3 4.96280- 3 1.10000+ 1 7.66701- 5 5.21450- 3 1.30000+ 1 1.04150- 1 5.48692- 3 1.60000+ 1 7.69781- 4 6.14365- 3 1.90000+ 1 1.31740- 5 6.22334- 3 2.10000+ 1 1.74700- 2 6.32062- 3 2.40000+ 1 3.02990- 6 6.43525- 3 2.70000+ 1 1.16420- 4 6.39960- 3 3.00000+ 1 2.47500- 6 6.41864- 3 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 1.01769- 2 1.89250- 4 6.00000+ 0 1.80000+ 1 5.00474- 2 2.47860- 4 6.00000+ 0 1.90000+ 1 1.67882- 2 2.68940- 4 6.00000+ 0 2.10000+ 1 6.35611- 2 3.66220- 4 6.00000+ 0 2.20000+ 1 2.32616- 2 3.69910- 4 6.00000+ 0 2.40000+ 1 5.27477- 4 4.80850- 4 6.00000+ 0 2.70000+ 1 1.55010- 3 4.45200- 4 6.00000+ 0 2.90000+ 1 6.49743- 3 4.61240- 4 6.00000+ 0 3.00000+ 1 2.22373- 3 4.64240- 4 6.00000+ 0 4.10000+ 1 1.36225- 4 4.83610- 4 8.00000+ 0 8.00000+ 0 9.45397- 4 3.48270- 3 8.00000+ 0 1.00000+ 1 2.41694- 2 3.63710- 3 8.00000+ 0 1.10000+ 1 2.33686- 3 3.73440- 3 8.00000+ 0 1.30000+ 1 2.10247- 3 4.00682- 3 8.00000+ 0 1.40000+ 1 3.14177- 3 4.02794- 3 8.00000+ 0 1.60000+ 1 3.39761- 4 4.66355- 3 8.00000+ 0 1.80000+ 1 3.50478- 3 4.72216- 3 8.00000+ 0 1.90000+ 1 4.38615- 4 4.74324- 3 8.00000+ 0 2.10000+ 1 2.65828- 4 4.84052- 3 8.00000+ 0 2.20000+ 1 3.41443- 4 4.84421- 3 8.00000+ 0 2.40000+ 1 2.65828- 5 4.95515- 3 8.00000+ 0 2.70000+ 1 5.48276- 5 4.91950- 3 8.00000+ 0 2.90000+ 1 4.51064- 4 4.93554- 3 8.00000+ 0 3.00000+ 1 5.73185- 5 4.93854- 3 8.00000+ 0 4.10000+ 1 4.98426- 6 4.95791- 3 1.00000+ 1 1.00000+ 1 2.40188- 2 3.79150- 3 1.00000+ 1 1.10000+ 1 7.30453- 2 3.88880- 3 1.00000+ 1 1.30000+ 1 3.89913- 2 4.16122- 3 1.00000+ 1 1.40000+ 1 6.50739- 2 4.18234- 3 1.00000+ 1 1.60000+ 1 5.61628- 3 4.81795- 3 1.00000+ 1 1.80000+ 1 8.74315- 3 4.87656- 3 1.00000+ 1 1.90000+ 1 1.51751- 2 4.89764- 3 1.00000+ 1 2.10000+ 1 6.86062- 3 4.99492- 3 1.00000+ 1 2.20000+ 1 1.14372- 2 4.99861- 3 1.00000+ 1 2.40000+ 1 1.07986- 4 5.10955- 3 1.00000+ 1 2.70000+ 1 9.51136- 4 5.07390- 3 1.00000+ 1 2.90000+ 1 1.17626- 3 5.08994- 3 1.00000+ 1 3.00000+ 1 2.01862- 3 5.09294- 3 1.00000+ 1 4.10000+ 1 8.47311- 5 5.11231- 3 1.10000+ 1 1.10000+ 1 1.88569- 3 3.98610- 3 1.10000+ 1 1.30000+ 1 4.47436- 2 4.25852- 3 1.10000+ 1 1.40000+ 1 6.09181- 3 4.27964- 3 1.10000+ 1 1.60000+ 1 4.64377- 4 4.91525- 3 1.10000+ 1 1.80000+ 1 1.09700- 2 4.97386- 3 1.10000+ 1 1.90000+ 1 6.63734- 4 4.99494- 3 1.10000+ 1 2.10000+ 1 6.72215- 3 5.09222- 3 1.10000+ 1 2.20000+ 1 8.59787- 4 5.09591- 3 1.10000+ 1 2.40000+ 1 6.89499- 5 5.20685- 3 1.10000+ 1 2.70000+ 1 7.64259- 5 5.17120- 3 1.10000+ 1 2.90000+ 1 1.42135- 3 5.18724- 3 1.10000+ 1 3.00000+ 1 8.55637- 5 5.19024- 3 1.10000+ 1 4.10000+ 1 6.64580- 6 5.20961- 3 1.30000+ 1 1.30000+ 1 4.11241- 2 4.53094- 3 1.30000+ 1 1.40000+ 1 1.74342- 1 4.55206- 3 1.30000+ 1 1.60000+ 1 4.94247- 4 5.18767- 3 1.30000+ 1 1.80000+ 1 5.82470- 3 5.24628- 3 1.30000+ 1 1.90000+ 1 8.75352- 3 5.26736- 3 1.30000+ 1 2.10000+ 1 1.23143- 2 5.36464- 3 1.30000+ 1 2.20000+ 1 2.79969- 2 5.36833- 3 1.30000+ 1 2.40000+ 1 4.37772- 4 5.47927- 3 1.30000+ 1 2.70000+ 1 8.39001- 5 5.44362- 3 1.30000+ 1 2.90000+ 1 7.59260- 4 5.45966- 3 1.30000+ 1 3.00000+ 1 1.15217- 3 5.46266- 3 1.30000+ 1 4.10000+ 1 7.47637- 6 5.48203- 3 1.40000+ 1 1.40000+ 1 8.33441- 3 4.57318- 3 1.40000+ 1 1.60000+ 1 6.10575- 4 5.20879- 3 1.40000+ 1 1.80000+ 1 8.64858- 3 5.26740- 3 1.40000+ 1 1.90000+ 1 1.08986- 3 5.28848- 3 1.40000+ 1 2.10000+ 1 2.19947- 2 5.38576- 3 1.40000+ 1 2.20000+ 1 2.43396- 3 5.38945- 3 1.40000+ 1 2.40000+ 1 1.80261- 4 5.50039- 3 1.40000+ 1 2.70000+ 1 9.96818- 5 5.46474- 3 1.40000+ 1 2.90000+ 1 1.09570- 3 5.48078- 3 1.40000+ 1 3.00000+ 1 1.41219- 4 5.48378- 3 1.40000+ 1 4.10000+ 1 9.13799- 6 5.50315- 3 1.60000+ 1 1.60000+ 1 2.99046- 5 5.84440- 3 1.60000+ 1 1.80000+ 1 8.18240- 4 5.90301- 3 1.60000+ 1 1.90000+ 1 8.80497- 5 5.92409- 3 1.60000+ 1 2.10000+ 1 6.06411- 5 6.02137- 3 1.60000+ 1 2.20000+ 1 6.72867- 5 6.02506- 3 1.60000+ 1 2.40000+ 1 4.98407- 6 6.13600- 3 1.60000+ 1 2.70000+ 1 9.13763- 6 6.10035- 3 1.60000+ 1 2.90000+ 1 1.05497- 4 6.11639- 3 1.60000+ 1 3.00000+ 1 1.16304- 5 6.11939- 3 1.60000+ 1 4.10000+ 1 8.30699- 7 6.13876- 3 1.80000+ 1 1.80000+ 1 7.27603- 4 5.96162- 3 1.80000+ 1 1.90000+ 1 2.18282- 3 5.98270- 3 1.80000+ 1 2.10000+ 1 9.65337- 4 6.07998- 3 1.80000+ 1 2.20000+ 1 1.46644- 3 6.08367- 3 1.80000+ 1 2.40000+ 1 1.27234- 5 6.19461- 3 1.80000+ 1 2.70000+ 1 1.32796- 4 6.15896- 3 1.80000+ 1 2.90000+ 1 1.94023- 4 6.17500- 3 1.80000+ 1 3.00000+ 1 2.90239- 4 6.17800- 3 1.80000+ 1 4.10000+ 1 1.19278- 5 6.19737- 3 1.90000+ 1 1.90000+ 1 5.88801- 5 6.00378- 3 1.90000+ 1 2.10000+ 1 1.32436- 3 6.10106- 3 1.90000+ 1 2.20000+ 1 1.57565- 4 6.10475- 3 1.90000+ 1 2.40000+ 1 1.07801- 5 6.21569- 3 1.90000+ 1 2.70000+ 1 1.40974- 5 6.18004- 3 1.90000+ 1 2.90000+ 1 2.95230- 4 6.19608- 3 1.90000+ 1 3.00000+ 1 1.49270- 5 6.19908- 3 1.90000+ 1 4.10000+ 1 1.65860- 6 6.21845- 3 2.10000+ 1 2.10000+ 1 9.11262- 4 6.19834- 3 2.10000+ 1 2.20000+ 1 3.64943- 3 6.20203- 3 2.10000+ 1 2.40000+ 1 4.65207- 5 6.31297- 3 2.10000+ 1 2.70000+ 1 9.96820- 6 6.27732- 3 2.10000+ 1 2.90000+ 1 1.31247- 4 6.29336- 3 2.10000+ 1 3.00000+ 1 1.74449- 4 6.29636- 3 2.10000+ 1 4.10000+ 1 8.30733- 7 6.31573- 3 2.20000+ 1 2.20000+ 1 2.12539- 4 6.20572- 3 2.20000+ 1 2.40000+ 1 2.37256- 5 6.31666- 3 2.20000+ 1 2.70000+ 1 1.28504- 5 6.28101- 3 2.20000+ 1 2.90000+ 1 2.31322- 4 6.29705- 3 2.20000+ 1 3.00000+ 1 2.47144- 5 6.30005- 3 2.20000+ 1 4.10000+ 1 9.88550- 7 6.31942- 3 2.40000+ 1 2.70000+ 1 8.30712- 7 6.39195- 3 2.40000+ 1 2.90000+ 1 1.66145- 6 6.40799- 3 2.40000+ 1 3.00000+ 1 1.66145- 6 6.41099- 3 2.70000+ 1 2.70000+ 1 1.07257- 6 6.35630- 3 2.70000+ 1 2.90000+ 1 2.35963- 5 6.37234- 3 2.70000+ 1 3.00000+ 1 2.14517- 6 6.37534- 3 2.90000+ 1 2.90000+ 1 1.86981- 5 6.38838- 3 2.90000+ 1 3.00000+ 1 5.49238- 5 6.39138- 3 2.90000+ 1 4.10000+ 1 2.33726- 6 6.41075- 3 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.39009- 3 4.47430- 3 1.00000+ 1 5.08049- 5 4.62870- 3 1.10000+ 1 4.69660- 5 4.72600- 3 1.30000+ 1 1.00440- 2 4.99842- 3 1.40000+ 1 8.89339- 2 5.01954- 3 1.60000+ 1 9.18479- 4 5.65515- 3 1.80000+ 1 6.19859- 6 5.71376- 3 1.90000+ 1 5.97799- 6 5.73484- 3 2.10000+ 1 1.62790- 3 5.83212- 3 2.20000+ 1 1.45510- 2 5.83581- 3 2.40000+ 1 4.57250- 7 5.94675- 3 2.50000+ 1 2.62110- 6 5.94716- 3 2.70000+ 1 1.58760- 4 5.91110- 3 2.90000+ 1 1.16790- 6 5.92714- 3 3.00000+ 1 1.03740- 6 5.93014- 3 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.25432- 3 2.99420- 3 8.00000+ 0 1.00000+ 1 8.37989- 4 3.14860- 3 8.00000+ 0 1.10000+ 1 2.76493- 2 3.24590- 3 8.00000+ 0 1.30000+ 1 2.76402- 3 3.51832- 3 8.00000+ 0 1.40000+ 1 3.26753- 3 3.53944- 3 8.00000+ 0 1.60000+ 1 4.51034- 4 4.17505- 3 8.00000+ 0 1.80000+ 1 1.45893- 4 4.23366- 3 8.00000+ 0 1.90000+ 1 3.99774- 3 4.25474- 3 8.00000+ 0 2.10000+ 1 2.53538- 4 4.35202- 3 8.00000+ 0 2.20000+ 1 2.73999- 4 4.35571- 3 8.00000+ 0 2.40000+ 1 3.29155- 5 4.46665- 3 8.00000+ 0 2.70000+ 1 7.29485- 5 4.43100- 3 8.00000+ 0 2.90000+ 1 1.95718- 5 4.44704- 3 8.00000+ 0 3.00000+ 1 4.99941- 4 4.45004- 3 8.00000+ 0 4.10000+ 1 6.22708- 6 4.46941- 3 1.00000+ 1 1.00000+ 1 2.55316- 4 3.30300- 3 1.00000+ 1 1.10000+ 1 4.61342- 2 3.40030- 3 1.00000+ 1 1.30000+ 1 2.88233- 3 3.67272- 3 1.00000+ 1 1.40000+ 1 2.58456- 2 3.69384- 3 1.00000+ 1 1.60000+ 1 1.62801- 4 4.32945- 3 1.00000+ 1 1.80000+ 1 9.07441- 5 4.38806- 3 1.00000+ 1 1.90000+ 1 6.91594- 3 4.40914- 3 1.00000+ 1 2.10000+ 1 4.69700- 4 4.50642- 3 1.00000+ 1 2.20000+ 1 3.62700- 3 4.51011- 3 1.00000+ 1 2.40000+ 1 3.64729- 5 4.62105- 3 1.00000+ 1 2.70000+ 1 2.66884- 5 4.58540- 3 1.00000+ 1 2.90000+ 1 1.24544- 5 4.60144- 3 1.00000+ 1 3.00000+ 1 8.70032- 4 4.60444- 3 1.00000+ 1 4.10000+ 1 2.66884- 6 4.62381- 3 1.10000+ 1 1.10000+ 1 6.37684- 2 3.49760- 3 1.10000+ 1 1.30000+ 1 6.49554- 2 3.77002- 3 1.10000+ 1 1.40000+ 1 9.63146- 2 3.79114- 3 1.10000+ 1 1.60000+ 1 6.35634- 3 4.42675- 3 1.10000+ 1 1.80000+ 1 9.41070- 3 4.48536- 3 1.10000+ 1 1.90000+ 1 2.27517- 2 4.50644- 3 1.10000+ 1 2.10000+ 1 1.09736- 2 4.60372- 3 1.10000+ 1 2.20000+ 1 1.60621- 2 4.60741- 3 1.10000+ 1 2.40000+ 1 1.70807- 4 4.71835- 3 1.10000+ 1 2.70000+ 1 1.07465- 3 4.68270- 3 1.10000+ 1 2.90000+ 1 1.28723- 3 4.69874- 3 1.10000+ 1 3.00000+ 1 2.95796- 3 4.70174- 3 1.10000+ 1 4.10000+ 1 9.60784- 5 4.72111- 3 1.30000+ 1 1.30000+ 1 9.38165- 3 4.04244- 3 1.30000+ 1 1.40000+ 1 1.79172- 1 4.06356- 3 1.30000+ 1 1.60000+ 1 5.98707- 4 4.69917- 3 1.30000+ 1 1.80000+ 1 5.88017- 4 4.75778- 3 1.30000+ 1 1.90000+ 1 9.06287- 3 4.77886- 3 1.30000+ 1 2.10000+ 1 2.79690- 3 4.87614- 3 1.30000+ 1 2.20000+ 1 2.28472- 2 4.87983- 3 1.30000+ 1 2.40000+ 1 9.69698- 5 4.99077- 3 1.30000+ 1 2.70000+ 1 1.00525- 4 4.95512- 3 1.30000+ 1 2.90000+ 1 8.00641- 5 4.97116- 3 1.30000+ 1 3.00000+ 1 1.12621- 3 4.97416- 3 1.30000+ 1 4.10000+ 1 8.89642- 6 4.99353- 3 1.40000+ 1 1.40000+ 1 1.21224- 1 4.08468- 3 1.40000+ 1 1.60000+ 1 7.48160- 4 4.72029- 3 1.40000+ 1 1.80000+ 1 4.89813- 3 4.77890- 3 1.40000+ 1 1.90000+ 1 1.50680- 2 4.79998- 3 1.40000+ 1 2.10000+ 1 2.70148- 2 4.89726- 3 1.40000+ 1 2.20000+ 1 3.46189- 2 4.90095- 3 1.40000+ 1 2.40000+ 1 1.03013- 3 5.01189- 3 1.40000+ 1 2.70000+ 1 1.26322- 4 4.97624- 3 1.40000+ 1 2.90000+ 1 6.60995- 4 4.99228- 3 1.40000+ 1 3.00000+ 1 1.91885- 3 4.99528- 3 1.40000+ 1 4.10000+ 1 1.15652- 5 5.01465- 3 1.60000+ 1 1.60000+ 1 4.01107- 5 5.35590- 3 1.60000+ 1 1.80000+ 1 2.85231- 5 5.41451- 3 1.60000+ 1 1.90000+ 1 9.22529- 4 5.43559- 3 1.60000+ 1 2.10000+ 1 5.88275- 5 5.53287- 3 1.60000+ 1 2.20000+ 1 6.77408- 5 5.53656- 3 1.60000+ 1 2.40000+ 1 4.45659- 6 5.64750- 3 1.60000+ 1 2.70000+ 1 1.33696- 5 5.61185- 3 1.60000+ 1 2.90000+ 1 3.56524- 6 5.62789- 3 1.60000+ 1 3.00000+ 1 1.14985- 4 5.63089- 3 1.60000+ 1 4.10000+ 1 8.91378- 7 5.65026- 3 1.80000+ 1 1.80000+ 1 6.81548- 6 5.47312- 3 1.80000+ 1 1.90000+ 1 1.34860- 3 5.49420- 3 1.80000+ 1 2.10000+ 1 8.94486- 5 5.59148- 3 1.80000+ 1 2.20000+ 1 6.79828- 4 5.59517- 3 1.80000+ 1 2.40000+ 1 5.11135- 6 5.70611- 3 1.80000+ 1 2.70000+ 1 4.25953- 6 5.67046- 3 1.80000+ 1 2.90000+ 1 1.70384- 6 5.68650- 3 1.80000+ 1 3.00000+ 1 1.69534- 4 5.68950- 3 1.90000+ 1 1.90000+ 1 1.77219- 3 5.51528- 3 1.90000+ 1 2.10000+ 1 1.38681- 3 5.61256- 3 1.90000+ 1 2.20000+ 1 2.24356- 3 5.61625- 3 1.90000+ 1 2.40000+ 1 1.76982- 5 5.72719- 3 1.90000+ 1 2.70000+ 1 1.40780- 4 5.69154- 3 1.90000+ 1 2.90000+ 1 1.73759- 4 5.70758- 3 1.90000+ 1 3.00000+ 1 4.57731- 4 5.71058- 3 1.90000+ 1 4.10000+ 1 1.28713- 5 5.72995- 3 2.10000+ 1 2.10000+ 1 2.02263- 4 5.70984- 3 2.10000+ 1 2.20000+ 1 3.54217- 3 5.71353- 3 2.10000+ 1 2.40000+ 1 9.75792- 6 5.82447- 3 2.10000+ 1 2.70000+ 1 9.75792- 6 5.78882- 3 2.10000+ 1 2.90000+ 1 1.24192- 5 5.80486- 3 2.10000+ 1 3.00000+ 1 1.89842- 4 5.80786- 3 2.10000+ 1 4.10000+ 1 8.87143- 7 5.82723- 3 2.20000+ 1 2.20000+ 1 2.62556- 3 5.71722- 3 2.20000+ 1 2.40000+ 1 1.11982- 4 5.82816- 3 2.20000+ 1 2.70000+ 1 1.22341- 5 5.79251- 3 2.20000+ 1 2.90000+ 1 1.01636- 4 5.80855- 3 2.20000+ 1 3.00000+ 1 3.33140- 4 5.81155- 3 2.20000+ 1 4.10000+ 1 9.41118- 7 5.83092- 3 2.40000+ 1 2.70000+ 1 5.51975- 7 5.90345- 3 2.40000+ 1 2.90000+ 1 5.51975- 7 5.91949- 3 2.40000+ 1 3.00000+ 1 1.65585- 6 5.92249- 3 2.70000+ 1 2.70000+ 1 1.18907- 6 5.86780- 3 2.70000+ 1 2.90000+ 1 1.18907- 6 5.88384- 3 2.70000+ 1 3.00000+ 1 2.61588- 5 5.88684- 3 2.90000+ 1 3.00000+ 1 3.43240- 5 5.90288- 3 3.00000+ 1 3.00000+ 1 5.56593- 5 5.90588- 3 3.00000+ 1 4.10000+ 1 3.00862- 6 5.92525- 3 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.10818- 5 1.54400- 4 1.10000+ 1 9.88251- 5 2.51700- 4 1.80000+ 1 3.16115- 4 1.23946- 3 1.90000+ 1 4.01733- 4 1.26054- 3 2.90000+ 1 6.29011- 5 1.45284- 3 3.00000+ 1 7.68729- 5 1.45584- 3 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 8.44227- 2 3.21200- 5 1.00000+ 1 2.20000+ 1 1.16817- 1 3.58100- 5 1.00000+ 1 2.40000+ 1 1.01595- 2 1.46750- 4 1.00000+ 1 2.50000+ 1 1.35983- 2 1.47160- 4 1.00000+ 1 2.70000+ 1 9.66932- 3 1.11100- 4 1.00000+ 1 2.90000+ 1 8.04321- 3 1.27140- 4 1.00000+ 1 3.00000+ 1 1.30887- 2 1.30140- 4 1.00000+ 1 4.10000+ 1 8.45729- 4 1.49510- 4 1.10000+ 1 1.80000+ 1 8.60038- 2 1.10600- 5 1.10000+ 1 1.90000+ 1 1.25116- 1 3.21400- 5 1.10000+ 1 2.10000+ 1 5.77696- 2 1.29420- 4 1.10000+ 1 2.20000+ 1 8.33666- 2 1.33110- 4 1.10000+ 1 2.40000+ 1 2.40774- 2 2.44050- 4 1.10000+ 1 2.50000+ 1 3.02936- 2 2.44460- 4 1.10000+ 1 2.70000+ 1 1.27475- 2 2.08400- 4 1.10000+ 1 2.90000+ 1 1.08290- 2 2.24440- 4 1.10000+ 1 3.00000+ 1 1.59129- 2 2.27440- 4 1.10000+ 1 4.10000+ 1 1.12644- 3 2.46810- 4 1.30000+ 1 1.60000+ 1 3.09425- 2 2.24870- 4 1.30000+ 1 1.80000+ 1 6.73727- 3 2.83480- 4 1.30000+ 1 1.90000+ 1 5.54156- 3 3.04560- 4 1.30000+ 1 2.10000+ 1 9.40465- 3 4.01840- 4 1.30000+ 1 2.20000+ 1 1.17608- 2 4.05530- 4 1.30000+ 1 2.40000+ 1 1.18547- 3 5.16470- 4 1.30000+ 1 2.50000+ 1 1.17321- 3 5.16880- 4 1.30000+ 1 2.70000+ 1 3.52472- 3 4.80820- 4 1.30000+ 1 2.90000+ 1 7.27491- 4 4.96860- 4 1.30000+ 1 3.00000+ 1 5.69701- 4 4.99860- 4 1.30000+ 1 4.10000+ 1 2.98313- 4 5.19230- 4 1.40000+ 1 1.60000+ 1 4.49877- 2 2.45990- 4 1.40000+ 1 1.80000+ 1 1.54384- 3 3.04600- 4 1.40000+ 1 1.90000+ 1 1.30549- 2 3.25680- 4 1.40000+ 1 2.10000+ 1 1.24928- 2 4.22960- 4 1.40000+ 1 2.20000+ 1 1.92115- 2 4.26650- 4 1.40000+ 1 2.40000+ 1 1.41126- 3 5.37590- 4 1.40000+ 1 2.50000+ 1 2.14282- 3 5.38000- 4 1.40000+ 1 2.70000+ 1 5.08383- 3 5.01940- 4 1.40000+ 1 2.90000+ 1 1.59821- 4 5.17980- 4 1.40000+ 1 3.00000+ 1 1.34584- 3 5.20980- 4 1.40000+ 1 4.10000+ 1 4.29533- 4 5.40350- 4 1.60000+ 1 1.60000+ 1 6.53898- 3 8.81600- 4 1.60000+ 1 1.80000+ 1 1.08175- 2 9.40210- 4 1.60000+ 1 1.90000+ 1 1.96667- 2 9.61290- 4 1.60000+ 1 2.10000+ 1 2.06703- 2 1.05857- 3 1.60000+ 1 2.20000+ 1 3.00116- 2 1.06226- 3 1.60000+ 1 2.40000+ 1 1.53301- 3 1.17320- 3 1.60000+ 1 2.50000+ 1 1.95012- 3 1.17361- 3 1.60000+ 1 2.70000+ 1 1.83084- 3 1.13755- 3 1.60000+ 1 2.90000+ 1 1.48025- 3 1.15359- 3 1.60000+ 1 3.00000+ 1 2.60878- 3 1.15659- 3 1.60000+ 1 4.10000+ 1 1.60015- 4 1.17596- 3 1.80000+ 1 1.80000+ 1 5.50983- 4 9.98820- 4 1.80000+ 1 1.90000+ 1 1.37345- 3 1.01990- 3 1.80000+ 1 2.10000+ 1 8.31020- 4 1.11718- 3 1.80000+ 1 2.20000+ 1 3.71125- 4 1.12087- 3 1.80000+ 1 2.40000+ 1 2.95974- 5 1.23181- 3 1.80000+ 1 2.50000+ 1 1.03020- 4 1.23222- 3 1.80000+ 1 2.70000+ 1 1.13835- 3 1.19616- 3 1.80000+ 1 2.90000+ 1 1.21237- 4 1.21220- 3 1.80000+ 1 3.00000+ 1 1.43436- 4 1.21520- 3 1.80000+ 1 4.10000+ 1 9.61942- 5 1.23457- 3 1.90000+ 1 1.90000+ 1 1.76439- 3 1.04098- 3 1.90000+ 1 2.10000+ 1 9.40099- 4 1.13826- 3 1.90000+ 1 2.20000+ 1 2.45437- 3 1.14195- 3 1.90000+ 1 2.40000+ 1 1.03242- 4 1.25289- 3 1.90000+ 1 2.50000+ 1 1.84633- 4 1.25330- 3 1.90000+ 1 2.70000+ 1 1.99330- 3 1.21724- 3 1.90000+ 1 2.90000+ 1 1.51857- 4 1.23328- 3 1.90000+ 1 3.00000+ 1 3.93317- 4 1.23628- 3 1.90000+ 1 4.10000+ 1 1.68793- 4 1.25565- 3 2.10000+ 1 2.10000+ 1 2.50028- 4 1.23554- 3 2.10000+ 1 2.20000+ 1 1.07200- 3 1.23923- 3 2.10000+ 1 2.40000+ 1 9.62960- 5 1.35017- 3 2.10000+ 1 2.50000+ 1 7.25121- 4 1.35058- 3 2.10000+ 1 2.70000+ 1 2.19221- 3 1.31452- 3 2.10000+ 1 2.90000+ 1 8.52736- 5 1.33056- 3 2.10000+ 1 3.00000+ 1 1.03837- 4 1.33356- 3 2.10000+ 1 4.10000+ 1 1.85051- 4 1.35293- 3 2.20000+ 1 2.20000+ 1 6.29885- 4 1.24292- 3 2.20000+ 1 2.40000+ 1 7.25954- 4 1.35386- 3 2.20000+ 1 2.50000+ 1 4.09833- 4 1.35427- 3 2.20000+ 1 2.70000+ 1 3.13225- 3 1.31821- 3 2.20000+ 1 2.90000+ 1 3.77260- 5 1.33425- 3 2.20000+ 1 3.00000+ 1 2.68648- 4 1.33725- 3 2.20000+ 1 4.10000+ 1 2.64072- 4 1.35662- 3 2.40000+ 1 2.40000+ 1 3.24703- 6 1.46480- 3 2.40000+ 1 2.50000+ 1 1.08786- 4 1.46521- 3 2.40000+ 1 2.70000+ 1 1.39094- 4 1.42915- 3 2.40000+ 1 2.90000+ 1 2.70599- 6 1.44519- 3 2.40000+ 1 3.00000+ 1 1.02830- 5 1.44819- 3 2.40000+ 1 4.10000+ 1 1.19069- 5 1.46756- 3 2.50000+ 1 2.50000+ 1 1.56955- 5 1.46562- 3 2.50000+ 1 2.70000+ 1 1.76980- 4 1.42956- 3 2.50000+ 1 2.90000+ 1 1.24482- 5 1.44560- 3 2.50000+ 1 3.00000+ 1 1.73192- 5 1.44860- 3 2.50000+ 1 4.10000+ 1 1.46128- 5 1.46797- 3 2.70000+ 1 2.70000+ 1 9.81169- 5 1.39350- 3 2.70000+ 1 2.90000+ 1 1.34237- 4 1.40954- 3 2.70000+ 1 3.00000+ 1 2.36742- 4 1.41254- 3 2.70000+ 1 4.10000+ 1 1.70845- 5 1.43191- 3 2.90000+ 1 2.90000+ 1 4.42474- 6 1.42558- 3 2.90000+ 1 3.00000+ 1 1.03247- 5 1.42858- 3 2.90000+ 1 4.10000+ 1 8.48110- 6 1.44795- 3 3.00000+ 1 3.00000+ 1 1.71270- 5 1.43158- 3 3.00000+ 1 4.10000+ 1 1.80049- 5 1.45095- 3 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.48518- 4 3.69720- 4 1.60000+ 1 3.58896- 4 1.02645- 3 2.10000+ 1 1.62310- 3 1.20342- 3 2.70000+ 1 6.18376- 5 1.28240- 3 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.40000+ 1 7.61505- 3 8.96500- 5 1.10000+ 1 2.50000+ 1 9.18929- 3 9.00600- 5 1.10000+ 1 2.70000+ 1 7.81839- 3 5.40000- 5 1.10000+ 1 2.90000+ 1 7.59772- 3 7.00400- 5 1.10000+ 1 3.00000+ 1 8.68938- 3 7.30400- 5 1.10000+ 1 4.10000+ 1 6.42964- 4 9.24100- 5 1.30000+ 1 1.60000+ 1 1.10786- 1 7.04700- 5 1.30000+ 1 1.80000+ 1 1.11218- 1 1.29080- 4 1.30000+ 1 1.90000+ 1 1.55725- 1 1.50160- 4 1.30000+ 1 2.10000+ 1 4.88027- 2 2.47440- 4 1.30000+ 1 2.20000+ 1 5.46953- 2 2.51130- 4 1.30000+ 1 2.40000+ 1 3.63876- 2 3.62070- 4 1.30000+ 1 2.50000+ 1 5.45327- 2 3.62480- 4 1.30000+ 1 2.70000+ 1 1.86179- 2 3.26420- 4 1.30000+ 1 2.90000+ 1 1.31963- 2 3.42460- 4 1.30000+ 1 3.00000+ 1 1.96663- 2 3.45460- 4 1.30000+ 1 4.10000+ 1 1.66313- 3 3.64830- 4 1.40000+ 1 1.60000+ 1 1.87168- 2 9.15900- 5 1.40000+ 1 1.80000+ 1 1.30883- 1 1.50200- 4 1.40000+ 1 1.90000+ 1 1.32779- 2 1.71280- 4 1.40000+ 1 2.10000+ 1 2.38454- 3 2.68560- 4 1.40000+ 1 2.20000+ 1 6.37251- 3 2.72250- 4 1.40000+ 1 2.40000+ 1 1.03962- 3 3.83190- 4 1.40000+ 1 2.50000+ 1 8.77531- 4 3.83600- 4 1.40000+ 1 2.70000+ 1 2.09493- 3 3.47540- 4 1.40000+ 1 2.90000+ 1 1.27293- 2 3.63580- 4 1.40000+ 1 3.00000+ 1 1.53142- 3 3.66580- 4 1.40000+ 1 4.10000+ 1 1.78197- 4 3.85950- 4 1.60000+ 1 1.60000+ 1 7.63930- 4 7.27200- 4 1.60000+ 1 1.80000+ 1 1.06503- 2 7.85810- 4 1.60000+ 1 1.90000+ 1 1.72770- 3 8.06890- 4 1.60000+ 1 2.10000+ 1 3.67086- 4 9.04170- 4 1.60000+ 1 2.20000+ 1 1.19944- 3 9.07860- 4 1.60000+ 1 2.40000+ 1 2.49875- 5 1.01880- 3 1.60000+ 1 2.50000+ 1 9.99522- 5 1.01921- 3 1.60000+ 1 2.70000+ 1 2.02289- 4 9.83150- 4 1.60000+ 1 2.90000+ 1 9.88225- 4 9.99190- 4 1.60000+ 1 3.00000+ 1 2.05850- 4 1.00219- 3 1.60000+ 1 4.10000+ 1 1.72534- 5 1.02156- 3 1.80000+ 1 1.80000+ 1 8.05449- 3 8.44420- 4 1.80000+ 1 1.90000+ 1 2.48260- 2 8.65500- 4 1.80000+ 1 2.10000+ 1 2.27206- 2 9.62780- 4 1.80000+ 1 2.20000+ 1 3.76548- 2 9.66470- 4 1.80000+ 1 2.40000+ 1 1.41434- 3 1.07741- 3 1.80000+ 1 2.50000+ 1 2.46495- 3 1.07782- 3 1.80000+ 1 2.70000+ 1 1.85360- 3 1.04176- 3 1.80000+ 1 2.90000+ 1 1.87466- 3 1.05780- 3 1.80000+ 1 3.00000+ 1 3.26809- 3 1.06080- 3 1.80000+ 1 4.10000+ 1 1.65414- 4 1.08017- 3 1.90000+ 1 1.90000+ 1 7.40813- 4 8.86580- 4 1.90000+ 1 2.10000+ 1 2.26012- 3 9.83860- 4 1.90000+ 1 2.20000+ 1 1.71367- 3 9.87550- 4 1.90000+ 1 2.40000+ 1 1.11087- 3 1.09849- 3 1.90000+ 1 2.50000+ 1 3.31057- 4 1.09890- 3 1.90000+ 1 2.70000+ 1 2.20026- 4 1.06284- 3 1.90000+ 1 2.90000+ 1 2.56218- 3 1.07888- 3 1.90000+ 1 3.00000+ 1 1.64177- 4 1.08188- 3 1.90000+ 1 4.10000+ 1 1.88394- 5 1.10125- 3 2.10000+ 1 2.10000+ 1 7.69507- 4 1.08114- 3 2.10000+ 1 2.20000+ 1 2.14584- 3 1.08483- 3 2.10000+ 1 2.40000+ 1 1.34041- 4 1.19577- 3 2.10000+ 1 2.50000+ 1 2.32733- 4 1.19618- 3 2.10000+ 1 2.70000+ 1 5.60531- 5 1.16012- 3 2.10000+ 1 2.90000+ 1 2.08061- 3 1.17616- 3 2.10000+ 1 3.00000+ 1 2.26033- 4 1.17916- 3 2.10000+ 1 4.10000+ 1 4.87426- 6 1.19853- 3 2.20000+ 1 2.20000+ 1 4.09169- 4 1.08852- 3 2.20000+ 1 2.40000+ 1 3.85578- 4 1.19946- 3 2.20000+ 1 2.50000+ 1 8.00646- 5 1.19987- 3 2.20000+ 1 2.70000+ 1 1.27717- 4 1.16381- 3 2.20000+ 1 2.90000+ 1 2.82148- 3 1.17985- 3 2.20000+ 1 3.00000+ 1 1.28693- 4 1.18285- 3 2.20000+ 1 4.10000+ 1 1.08064- 5 1.20222- 3 2.40000+ 1 2.40000+ 1 8.40905- 6 1.31040- 3 2.40000+ 1 2.50000+ 1 2.03794- 4 1.31081- 3 2.40000+ 1 2.70000+ 1 1.48394- 6 1.27475- 3 2.40000+ 1 2.90000+ 1 9.59619- 5 1.29079- 3 2.40000+ 1 3.00000+ 1 9.99196- 5 1.29379- 3 2.50000+ 1 2.50000+ 1 4.94661- 6 1.31122- 3 2.50000+ 1 2.70000+ 1 1.18717- 5 1.27516- 3 2.50000+ 1 2.90000+ 1 1.68185- 4 1.29120- 3 2.50000+ 1 3.00000+ 1 2.67111- 5 1.29420- 3 2.50000+ 1 4.10000+ 1 9.89285- 7 1.31357- 3 2.70000+ 1 2.70000+ 1 1.18332- 5 1.23910- 3 2.70000+ 1 2.90000+ 1 1.43542- 4 1.25514- 3 2.70000+ 1 3.00000+ 1 2.00650- 5 1.25814- 3 2.70000+ 1 4.10000+ 1 2.05787- 6 1.27751- 3 2.90000+ 1 2.90000+ 1 1.15938- 4 1.27118- 3 2.90000+ 1 3.00000+ 1 3.47119- 4 1.27418- 3 2.90000+ 1 4.10000+ 1 1.72532- 5 1.29355- 3 3.00000+ 1 3.00000+ 1 1.48587- 5 1.27718- 3 3.00000+ 1 4.10000+ 1 3.18399- 6 1.29655- 3 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.92318- 5 2.72420- 4 1.40000+ 1 2.22842- 4 2.93540- 4 1.60000+ 1 4.69455- 4 9.29150- 4 2.10000+ 1 2.05072- 4 1.10612- 3 2.20000+ 1 1.67909- 3 1.10981- 3 2.70000+ 1 8.14970- 5 1.18510- 3 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.80000+ 1 1.60612- 2 3.17800- 5 1.30000+ 1 1.90000+ 1 8.70339- 2 5.28600- 5 1.30000+ 1 2.10000+ 1 1.27062- 2 1.50140- 4 1.30000+ 1 2.20000+ 1 1.01674- 2 1.53830- 4 1.30000+ 1 2.40000+ 1 3.61371- 3 2.64770- 4 1.30000+ 1 2.50000+ 1 5.36444- 3 2.65180- 4 1.30000+ 1 2.70000+ 1 2.94310- 3 2.29120- 4 1.30000+ 1 2.90000+ 1 2.01849- 3 2.45160- 4 1.30000+ 1 3.00000+ 1 8.93015- 3 2.48160- 4 1.30000+ 1 4.10000+ 1 2.55142- 4 2.67530- 4 1.40000+ 1 1.60000+ 1 9.35976- 2 0.00000+ 0 1.40000+ 1 1.80000+ 1 1.04937- 1 5.29000- 5 1.40000+ 1 1.90000+ 1 1.92310- 1 7.39800- 5 1.40000+ 1 2.10000+ 1 5.19231- 2 1.71260- 4 1.40000+ 1 2.20000+ 1 8.15879- 2 1.74950- 4 1.40000+ 1 2.40000+ 1 3.34672- 2 2.85890- 4 1.40000+ 1 2.50000+ 1 3.97706- 2 2.86300- 4 1.40000+ 1 2.70000+ 1 1.65880- 2 2.50240- 4 1.40000+ 1 2.90000+ 1 1.34100- 2 2.66280- 4 1.40000+ 1 3.00000+ 1 2.23561- 2 2.69280- 4 1.40000+ 1 4.10000+ 1 1.45132- 3 2.88650- 4 1.60000+ 1 1.60000+ 1 7.81935- 4 6.29900- 4 1.60000+ 1 1.80000+ 1 1.14918- 3 6.88510- 4 1.60000+ 1 1.90000+ 1 1.67442- 2 7.09590- 4 1.60000+ 1 2.10000+ 1 1.00843- 3 8.06870- 4 1.60000+ 1 2.20000+ 1 1.09251- 3 8.10560- 4 1.60000+ 1 2.40000+ 1 1.69043- 4 9.21500- 4 1.60000+ 1 2.50000+ 1 2.56484- 4 9.21910- 4 1.60000+ 1 2.70000+ 1 2.05680- 4 8.85850- 4 1.60000+ 1 2.90000+ 1 1.30737- 4 9.01890- 4 1.60000+ 1 3.00000+ 1 1.53884- 3 9.04890- 4 1.60000+ 1 4.10000+ 1 1.74872- 5 9.24260- 4 1.80000+ 1 1.80000+ 1 1.77337- 4 7.47120- 4 1.80000+ 1 1.90000+ 1 2.00873- 2 7.68200- 4 1.80000+ 1 2.10000+ 1 5.31136- 4 8.65480- 4 1.80000+ 1 2.20000+ 1 3.47514- 3 8.69170- 4 1.80000+ 1 2.40000+ 1 1.79064- 4 9.80110- 4 1.80000+ 1 2.50000+ 1 1.07352- 3 9.80520- 4 1.80000+ 1 2.70000+ 1 1.39273- 4 9.44460- 4 1.80000+ 1 2.90000+ 1 3.71974- 5 9.60500- 4 1.80000+ 1 3.00000+ 1 1.86589- 3 9.63500- 4 1.80000+ 1 4.10000+ 1 1.21107- 5 9.82870- 4 1.90000+ 1 1.90000+ 1 2.69474- 2 7.89280- 4 1.90000+ 1 2.10000+ 1 3.60242- 2 8.86560- 4 1.90000+ 1 2.20000+ 1 4.87122- 2 8.90250- 4 1.90000+ 1 2.40000+ 1 3.15840- 3 1.00119- 3 1.90000+ 1 2.50000+ 1 3.58564- 3 1.00160- 3 1.90000+ 1 2.70000+ 1 2.63949- 3 9.65540- 4 1.90000+ 1 2.90000+ 1 2.50570- 3 9.81580- 4 1.90000+ 1 3.00000+ 1 6.03812- 3 9.84580- 4 1.90000+ 1 4.10000+ 1 2.34690- 4 1.00395- 3 2.10000+ 1 2.10000+ 1 2.29157- 4 9.83840- 4 2.10000+ 1 2.20000+ 1 3.47038- 3 9.87530- 4 2.10000+ 1 2.40000+ 1 5.96253- 5 1.09847- 3 2.10000+ 1 2.50000+ 1 7.59331- 4 1.09888- 3 2.10000+ 1 2.70000+ 1 9.62615- 5 1.06282- 3 2.10000+ 1 2.90000+ 1 3.80748- 5 1.07886- 3 2.10000+ 1 3.00000+ 1 2.98264- 3 1.08186- 3 2.10000+ 1 4.10000+ 1 7.90233- 6 1.10123- 3 2.20000+ 1 2.20000+ 1 1.65770- 3 9.91220- 4 2.20000+ 1 2.40000+ 1 5.13566- 4 1.10216- 3 2.20000+ 1 2.50000+ 1 4.64963- 4 1.10257- 3 2.20000+ 1 2.70000+ 1 9.65742- 5 1.06651- 3 2.20000+ 1 2.90000+ 1 2.30236- 4 1.08255- 3 2.20000+ 1 3.00000+ 1 3.55964- 3 1.08555- 3 2.20000+ 1 4.10000+ 1 8.31433- 6 1.10492- 3 2.40000+ 1 2.40000+ 1 2.75801- 6 1.21310- 3 2.40000+ 1 2.50000+ 1 2.98558- 4 1.21351- 3 2.40000+ 1 2.70000+ 1 1.51696- 5 1.17745- 3 2.40000+ 1 2.90000+ 1 1.58592- 5 1.19349- 3 2.40000+ 1 3.00000+ 1 2.37194- 4 1.19649- 3 2.40000+ 1 4.10000+ 1 1.37904- 6 1.21586- 3 2.50000+ 1 2.50000+ 1 5.44717- 5 1.21392- 3 2.50000+ 1 2.70000+ 1 1.86169- 5 1.17786- 3 2.50000+ 1 2.90000+ 1 9.79126- 5 1.19390- 3 2.50000+ 1 3.00000+ 1 2.75801- 4 1.19690- 3 2.50000+ 1 4.10000+ 1 1.37904- 6 1.21627- 3 2.70000+ 1 2.70000+ 1 1.36446- 5 1.14180- 3 2.70000+ 1 2.90000+ 1 1.52498- 5 1.15784- 3 2.70000+ 1 3.00000+ 1 2.43198- 4 1.16084- 3 2.70000+ 1 4.10000+ 1 2.40777- 6 1.18021- 3 2.90000+ 1 2.90000+ 1 1.93599- 6 1.17388- 3 2.90000+ 1 3.00000+ 1 2.82647- 4 1.17688- 3 2.90000+ 1 4.10000+ 1 1.93599- 6 1.19625- 3 3.00000+ 1 3.00000+ 1 5.22777- 4 1.17988- 3 3.00000+ 1 4.10000+ 1 3.45121- 5 1.19925- 3 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.23263- 3 7.15340- 4 1.90000+ 1 4.78385- 4 7.36420- 4 2.40000+ 1 3.57934- 4 9.48330- 4 2.90000+ 1 5.25406- 4 9.28720- 4 3.00000+ 1 7.74068- 5 9.31720- 4 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 3.89687- 2 1.34700- 5 1.40000+ 1 2.50000+ 1 6.46310- 3 1.38800- 5 1.40000+ 1 4.10000+ 1 3.37709- 4 1.62300- 5 1.60000+ 1 1.60000+ 1 3.52106- 6 3.57480- 4 1.60000+ 1 1.80000+ 1 4.18296- 3 4.16090- 4 1.60000+ 1 1.90000+ 1 3.01751- 3 4.37170- 4 1.60000+ 1 2.10000+ 1 9.35343- 2 5.34450- 4 1.60000+ 1 2.20000+ 1 1.22953- 2 5.38140- 4 1.60000+ 1 2.40000+ 1 4.10541- 3 6.49080- 4 1.60000+ 1 2.50000+ 1 1.44348- 3 6.49490- 4 1.60000+ 1 2.70000+ 1 2.81678- 5 6.13430- 4 1.60000+ 1 2.90000+ 1 4.47162- 4 6.29470- 4 1.60000+ 1 3.00000+ 1 2.49996- 4 6.32470- 4 1.60000+ 1 4.10000+ 1 3.52106- 6 6.51840- 4 1.80000+ 1 1.80000+ 1 1.91557- 3 4.74700- 4 1.80000+ 1 1.90000+ 1 1.44107- 2 4.95780- 4 1.80000+ 1 2.10000+ 1 7.78766- 2 5.93060- 4 1.80000+ 1 2.20000+ 1 6.79219- 3 5.96750- 4 1.80000+ 1 2.40000+ 1 2.75000- 3 7.07690- 4 1.80000+ 1 2.50000+ 1 1.61978- 3 7.08100- 4 1.80000+ 1 2.70000+ 1 4.15499- 4 6.72040- 4 1.80000+ 1 2.90000+ 1 4.33099- 4 6.88080- 4 1.80000+ 1 3.00000+ 1 1.42252- 3 6.91080- 4 1.80000+ 1 4.10000+ 1 3.52121- 5 7.10450- 4 1.90000+ 1 1.90000+ 1 5.40122- 3 5.16860- 4 1.90000+ 1 2.10000+ 1 1.70622- 1 6.14140- 4 1.90000+ 1 2.20000+ 1 6.39781- 3 6.17830- 4 1.90000+ 1 2.40000+ 1 2.06328- 3 7.28770- 4 1.90000+ 1 2.50000+ 1 9.11951- 4 7.29180- 4 1.90000+ 1 2.70000+ 1 3.48600- 4 6.93120- 4 1.90000+ 1 2.90000+ 1 1.38723- 3 7.09160- 4 1.90000+ 1 3.00000+ 1 1.03166- 3 7.12160- 4 1.90000+ 1 4.10000+ 1 2.81686- 5 7.31530- 4 2.10000+ 1 2.10000+ 1 1.38844- 1 7.11420- 4 2.10000+ 1 2.20000+ 1 2.84577- 1 7.15110- 4 2.10000+ 1 2.40000+ 1 1.45201- 2 8.26050- 4 2.10000+ 1 2.50000+ 1 1.93782- 2 8.26460- 4 2.10000+ 1 2.70000+ 1 1.41231- 2 7.90400- 4 2.10000+ 1 2.90000+ 1 1.05363- 2 8.06440- 4 2.10000+ 1 3.00000+ 1 2.18728- 2 8.09440- 4 2.10000+ 1 4.10000+ 1 1.24347- 3 8.28810- 4 2.20000+ 1 2.20000+ 1 4.67603- 3 7.18800- 4 2.20000+ 1 2.40000+ 1 1.35356- 2 8.29740- 4 2.20000+ 1 2.50000+ 1 8.66188- 4 8.30150- 4 2.20000+ 1 2.70000+ 1 1.04224- 3 7.94090- 4 2.20000+ 1 2.90000+ 1 6.12679- 4 8.10130- 4 2.20000+ 1 3.00000+ 1 6.68992- 4 8.13130- 4 2.20000+ 1 4.10000+ 1 8.45062- 5 8.32500- 4 2.40000+ 1 2.40000+ 1 4.57742- 4 9.40680- 4 2.40000+ 1 2.50000+ 1 5.05984- 3 9.41090- 4 2.40000+ 1 2.70000+ 1 6.19719- 4 9.05030- 4 2.40000+ 1 2.90000+ 1 2.88745- 4 9.21070- 4 2.40000+ 1 3.00000+ 1 2.50008- 4 9.24070- 4 2.40000+ 1 4.10000+ 1 5.28162- 5 9.43440- 4 2.50000+ 1 2.50000+ 1 5.28160- 5 9.41500- 4 2.50000+ 1 2.70000+ 1 1.51409- 4 9.05440- 4 2.50000+ 1 2.90000+ 1 1.05634- 4 9.21480- 4 2.50000+ 1 3.00000+ 1 1.02112- 4 9.24480- 4 2.50000+ 1 4.10000+ 1 1.40839- 5 9.43850- 4 2.70000+ 1 2.70000+ 1 6.12227- 6 8.69380- 4 2.70000+ 1 2.90000+ 1 8.57103- 5 8.85420- 4 2.70000+ 1 3.00000+ 1 5.50990- 5 8.88420- 4 2.90000+ 1 2.90000+ 1 4.05088- 5 9.01460- 4 2.90000+ 1 3.00000+ 1 2.37257- 4 9.04460- 4 2.90000+ 1 4.10000+ 1 5.78737- 6 9.23830- 4 3.00000+ 1 3.00000+ 1 2.03664- 4 9.07460- 4 3.00000+ 1 4.10000+ 1 1.35782- 5 9.26830- 4 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.58008- 3 7.15300- 4 2.40000+ 1 1.87829- 5 9.27210- 4 2.50000+ 1 3.66718- 4 9.27620- 4 3.00000+ 1 5.93946- 4 9.10600- 4 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 7.23522- 6 3.36360- 4 1.60000+ 1 1.80000+ 1 1.37468- 3 3.94970- 4 1.60000+ 1 1.90000+ 1 6.61654- 3 4.16050- 4 1.60000+ 1 2.10000+ 1 9.61563- 3 5.13330- 4 1.60000+ 1 2.20000+ 1 1.02779- 1 5.17020- 4 1.60000+ 1 2.40000+ 1 1.40369- 3 6.27960- 4 1.60000+ 1 2.50000+ 1 4.50033- 3 6.28370- 4 1.60000+ 1 2.70000+ 1 2.53228- 5 5.92310- 4 1.60000+ 1 2.90000+ 1 7.95889- 5 6.08350- 4 1.60000+ 1 3.00000+ 1 6.33087- 4 6.11350- 4 1.60000+ 1 4.10000+ 1 3.61760- 6 6.30720- 4 1.80000+ 1 1.80000+ 1 1.08521- 5 4.53580- 4 1.80000+ 1 1.90000+ 1 1.48942- 2 4.74660- 4 1.80000+ 1 2.10000+ 1 9.87608- 4 5.71940- 4 1.80000+ 1 2.20000+ 1 9.98664- 2 5.75630- 4 1.80000+ 1 2.40000+ 1 6.11375- 4 6.86570- 4 1.80000+ 1 2.50000+ 1 2.18508- 3 6.86980- 4 1.80000+ 1 2.70000+ 1 1.33857- 4 6.50920- 4 1.80000+ 1 2.90000+ 1 7.23515- 6 6.66960- 4 1.80000+ 1 3.00000+ 1 1.42172- 3 6.69960- 4 1.80000+ 1 4.10000+ 1 1.08521- 5 6.89330- 4 1.90000+ 1 1.90000+ 1 1.15326- 2 4.95740- 4 1.90000+ 1 2.10000+ 1 9.28962- 3 5.93020- 4 1.90000+ 1 2.20000+ 1 1.63403- 1 5.96710- 4 1.90000+ 1 2.40000+ 1 1.19016- 3 7.07650- 4 1.90000+ 1 2.50000+ 1 2.85410- 3 7.08060- 4 1.90000+ 1 2.70000+ 1 7.37962- 4 6.72000- 4 1.90000+ 1 2.90000+ 1 1.37461- 3 6.88040- 4 1.90000+ 1 3.00000+ 1 2.27173- 3 6.91040- 4 1.90000+ 1 4.10000+ 1 6.51141- 5 7.10410- 4 2.10000+ 1 2.10000+ 1 1.98606- 3 6.90300- 4 2.10000+ 1 2.20000+ 1 2.05347- 1 6.93990- 4 2.10000+ 1 2.40000+ 1 6.69264- 4 8.04930- 4 2.10000+ 1 2.50000+ 1 8.60620- 3 8.05340- 4 2.10000+ 1 2.70000+ 1 7.99490- 4 7.69280- 4 2.10000+ 1 2.90000+ 1 1.33856- 4 7.85320- 4 2.10000+ 1 3.00000+ 1 8.71847- 4 7.88320- 4 2.10000+ 1 4.10000+ 1 6.51167- 5 8.07690- 4 2.20000+ 1 2.20000+ 1 2.36724- 1 6.97680- 4 2.20000+ 1 2.40000+ 1 1.69272- 2 8.08620- 4 2.20000+ 1 2.50000+ 1 2.44949- 2 8.09030- 4 2.20000+ 1 2.70000+ 1 1.50527- 2 7.72970- 4 2.20000+ 1 2.90000+ 1 1.30277- 2 7.89010- 4 2.20000+ 1 3.00000+ 1 2.11078- 2 7.92010- 4 2.20000+ 1 4.10000+ 1 1.32401- 3 8.11380- 4 2.40000+ 1 2.40000+ 1 3.61756- 5 9.19560- 4 2.40000+ 1 2.50000+ 1 4.36638- 3 9.19970- 4 2.40000+ 1 2.70000+ 1 1.59182- 4 8.83910- 4 2.40000+ 1 2.90000+ 1 7.23514- 5 8.99950- 4 2.40000+ 1 3.00000+ 1 1.04912- 4 9.02950- 4 2.40000+ 1 4.10000+ 1 1.44695- 5 9.22320- 4 2.50000+ 1 2.50000+ 1 1.41083- 3 9.20380- 4 2.50000+ 1 2.70000+ 1 6.51156- 4 8.84320- 4 2.50000+ 1 2.90000+ 1 2.74938- 4 9.00360- 4 2.50000+ 1 3.00000+ 1 3.07481- 4 9.03360- 4 2.50000+ 1 4.10000+ 1 5.78801- 5 9.22730- 4 2.70000+ 1 2.90000+ 1 2.25460- 5 8.64300- 4 2.70000+ 1 3.00000+ 1 2.36732- 4 8.67300- 4 2.90000+ 1 3.00000+ 1 3.39508- 4 8.83340- 4 3.00000+ 1 3.00000+ 1 3.41061- 4 8.86340- 4 3.00000+ 1 4.10000+ 1 2.13168- 5 9.05710- 4 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.23844- 5 5.86100- 5 1.90000+ 1 6.13230- 5 7.96900- 5 2.90000+ 1 2.42612- 5 2.71990- 4 3.00000+ 1 2.17993- 5 2.74990- 4 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 1.77883- 2 5.09600- 5 1.80000+ 1 2.50000+ 1 2.75278- 2 5.13700- 5 1.80000+ 1 2.70000+ 1 5.87307- 2 1.53100- 5 1.80000+ 1 2.90000+ 1 4.50950- 2 3.13500- 5 1.80000+ 1 3.00000+ 1 9.65789- 2 3.43500- 5 1.80000+ 1 4.10000+ 1 4.99259- 3 5.37200- 5 1.90000+ 1 2.40000+ 1 5.74097- 2 7.20400- 5 1.90000+ 1 2.50000+ 1 6.82201- 2 7.24500- 5 1.90000+ 1 2.70000+ 1 7.83288- 2 3.63900- 5 1.90000+ 1 2.90000+ 1 7.89086- 2 5.24300- 5 1.90000+ 1 3.00000+ 1 1.08237- 1 5.54300- 5 1.90000+ 1 4.10000+ 1 6.74125- 3 7.48000- 5 2.10000+ 1 2.10000+ 1 5.14126- 3 5.46900- 5 2.10000+ 1 2.20000+ 1 3.63951- 2 5.83800- 5 2.10000+ 1 2.40000+ 1 1.94553- 3 1.69320- 4 2.10000+ 1 2.50000+ 1 4.88165- 3 1.69730- 4 2.10000+ 1 2.70000+ 1 2.47347- 2 1.33670- 4 2.10000+ 1 2.90000+ 1 4.74858- 3 1.49710- 4 2.10000+ 1 3.00000+ 1 1.62956- 2 1.52710- 4 2.10000+ 1 4.10000+ 1 1.78283- 3 1.72080- 4 2.20000+ 1 2.20000+ 1 1.64439- 2 6.20700- 5 2.20000+ 1 2.40000+ 1 5.56926- 3 1.73010- 4 2.20000+ 1 2.50000+ 1 4.78379- 3 1.73420- 4 2.20000+ 1 2.70000+ 1 3.59979- 2 1.37360- 4 2.20000+ 1 2.90000+ 1 1.46650- 2 1.53400- 4 2.20000+ 1 3.00000+ 1 1.52675- 2 1.56400- 4 2.20000+ 1 4.10000+ 1 2.59387- 3 1.75770- 4 2.40000+ 1 2.40000+ 1 7.63696- 5 2.83950- 4 2.40000+ 1 2.50000+ 1 7.45960- 4 2.84360- 4 2.40000+ 1 2.70000+ 1 3.93720- 3 2.48300- 4 2.40000+ 1 2.90000+ 1 5.04266- 4 2.64340- 4 2.40000+ 1 3.00000+ 1 1.20878- 3 2.67340- 4 2.40000+ 1 4.10000+ 1 2.57707- 4 2.86710- 4 2.50000+ 1 2.50000+ 1 2.32825- 4 2.84770- 4 2.50000+ 1 2.70000+ 1 5.09758- 3 2.48710- 4 2.50000+ 1 2.90000+ 1 3.93856- 4 2.64750- 4 2.50000+ 1 3.00000+ 1 1.52943- 3 2.67750- 4 2.50000+ 1 4.10000+ 1 3.33505- 4 2.87120- 4 2.70000+ 1 2.70000+ 1 1.56080- 2 2.12650- 4 2.70000+ 1 2.90000+ 1 1.90101- 2 2.28690- 4 2.70000+ 1 3.00000+ 1 3.35777- 2 2.31690- 4 2.70000+ 1 4.10000+ 1 2.43012- 3 2.51060- 4 2.90000+ 1 2.90000+ 1 6.39896- 3 2.44730- 4 2.90000+ 1 3.00000+ 1 2.77763- 2 2.47730- 4 2.90000+ 1 4.10000+ 1 5.40725- 3 2.67100- 4 3.00000+ 1 3.00000+ 1 2.50685- 2 2.50730- 4 3.00000+ 1 4.10000+ 1 1.04810- 2 2.70100- 4 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.87450- 4 1.18360- 4 2.70000+ 1 3.66019- 5 1.97340- 4 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 1.85796- 2 1.34300- 5 1.90000+ 1 2.50000+ 1 1.43291- 2 1.38400- 5 1.90000+ 1 4.10000+ 1 1.30927- 3 1.61900- 5 2.10000+ 1 2.10000+ 1 6.90309- 2 0.00000+ 0 2.10000+ 1 2.20000+ 1 5.26765- 1 0.00000+ 0 2.10000+ 1 2.40000+ 1 4.34740- 2 1.10710- 4 2.10000+ 1 2.50000+ 1 8.92123- 2 1.11120- 4 2.10000+ 1 2.70000+ 1 4.24932- 2 7.50600- 5 2.10000+ 1 2.90000+ 1 3.00133- 2 9.11000- 5 2.10000+ 1 3.00000+ 1 5.84101- 2 9.41000- 5 2.10000+ 1 4.10000+ 1 3.77036- 3 1.13470- 4 2.20000+ 1 2.20000+ 1 2.43521- 2 3.46000- 6 2.20000+ 1 2.40000+ 1 1.01921- 2 1.14400- 4 2.20000+ 1 2.50000+ 1 2.74040- 3 1.14810- 4 2.20000+ 1 2.70000+ 1 6.46620- 3 7.87500- 5 2.20000+ 1 2.90000+ 1 2.82615- 2 9.47900- 5 2.20000+ 1 3.00000+ 1 6.54696- 3 9.77900- 5 2.20000+ 1 4.10000+ 1 4.95579- 4 1.17160- 4 2.40000+ 1 2.40000+ 1 4.52804- 5 2.25340- 4 2.40000+ 1 2.50000+ 1 1.13440- 3 2.25750- 4 2.40000+ 1 2.70000+ 1 9.07420- 4 1.89690- 4 2.40000+ 1 2.90000+ 1 2.93746- 3 2.05730- 4 2.40000+ 1 3.00000+ 1 1.26969- 3 2.08730- 4 2.40000+ 1 4.10000+ 1 7.68404- 5 2.28100- 4 2.50000+ 1 2.50000+ 1 2.26404- 5 2.26160- 4 2.50000+ 1 2.70000+ 1 4.40233- 4 1.90100- 4 2.50000+ 1 2.90000+ 1 4.82719- 3 2.06140- 4 2.50000+ 1 3.00000+ 1 4.22856- 4 2.09140- 4 2.50000+ 1 4.10000+ 1 3.08730- 5 2.28510- 4 2.70000+ 1 2.70000+ 1 9.17053- 5 1.54040- 4 2.70000+ 1 2.90000+ 1 1.75995- 3 1.70080- 4 2.70000+ 1 3.00000+ 1 2.65207- 4 1.73080- 4 2.70000+ 1 4.10000+ 1 1.34383- 5 1.92450- 4 2.90000+ 1 2.90000+ 1 2.16700- 3 1.86120- 4 2.90000+ 1 3.00000+ 1 6.30378- 3 1.89120- 4 2.90000+ 1 4.10000+ 1 3.45706- 4 2.08490- 4 3.00000+ 1 3.00000+ 1 2.31701- 4 1.92120- 4 3.00000+ 1 4.10000+ 1 4.10689- 5 2.11490- 4 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 4.81183- 6 9.72800- 5 2.20000+ 1 5.16333- 5 1.00970- 4 2.70000+ 1 1.51631- 5 1.76260- 4 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.23085- 2 8.96300- 5 2.10000+ 1 2.50000+ 1 3.70563- 2 9.00400- 5 2.10000+ 1 2.70000+ 1 2.46212- 2 5.39800- 5 2.10000+ 1 2.90000+ 1 1.84988- 2 7.00200- 5 2.10000+ 1 3.00000+ 1 7.49247- 2 7.30200- 5 2.10000+ 1 4.10000+ 1 2.14142- 3 9.23900- 5 2.20000+ 1 2.40000+ 1 1.61261- 1 9.33200- 5 2.20000+ 1 2.50000+ 1 1.63063- 1 9.37300- 5 2.20000+ 1 2.70000+ 1 1.28705- 1 5.76700- 5 2.20000+ 1 2.90000+ 1 1.24727- 1 7.37100- 5 2.20000+ 1 3.00000+ 1 1.96814- 1 7.67100- 5 2.20000+ 1 4.10000+ 1 1.17742- 2 9.60800- 5 2.40000+ 1 2.40000+ 1 2.53348- 5 2.04260- 4 2.40000+ 1 2.50000+ 1 2.55120- 3 2.04670- 4 2.40000+ 1 2.70000+ 1 1.82798- 3 1.68610- 4 2.40000+ 1 2.90000+ 1 7.84152- 4 1.84650- 4 2.40000+ 1 3.00000+ 1 1.13635- 2 1.87650- 4 2.40000+ 1 4.10000+ 1 1.20974- 4 2.07020- 4 2.50000+ 1 2.50000+ 1 4.93404- 4 2.05080- 4 2.50000+ 1 2.70000+ 1 3.92050- 3 1.69020- 4 2.50000+ 1 2.90000+ 1 3.30551- 3 1.85060- 4 2.50000+ 1 3.00000+ 1 1.38080- 2 1.88060- 4 2.50000+ 1 4.10000+ 1 2.90727- 4 2.07430- 4 2.70000+ 1 2.70000+ 1 1.38363- 5 1.32960- 4 2.70000+ 1 2.90000+ 1 1.14417- 4 1.49000- 4 2.70000+ 1 3.00000+ 1 2.21060- 3 1.52000- 4 2.70000+ 1 4.10000+ 1 2.66078- 6 1.71370- 4 2.90000+ 1 2.90000+ 1 1.10431- 5 1.65040- 4 2.90000+ 1 3.00000+ 1 9.94181- 4 1.68040- 4 2.90000+ 1 4.10000+ 1 3.98074- 6 1.87410- 4 3.00000+ 1 3.00000+ 1 2.05005- 3 1.71040- 4 3.00000+ 1 4.10000+ 1 1.41362- 4 1.90410- 4 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.47445- 7 1.14630- 4 2.90000+ 1 4.02583- 6 9.50200- 5 3.00000+ 1 6.72974- 7 9.80200- 5 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 2.40000+ 1 4.56955- 2 0.00000+ 0 2.20000+ 1 2.50000+ 1 4.83062- 3 0.00000+ 0 2.40000+ 1 2.40000+ 1 9.93934- 3 1.06980- 4 2.40000+ 1 2.50000+ 1 1.13121- 1 1.07390- 4 2.40000+ 1 2.70000+ 1 5.10979- 2 7.13300- 5 2.40000+ 1 2.90000+ 1 4.57855- 2 8.73700- 5 2.40000+ 1 3.00000+ 1 7.46723- 2 9.03700- 5 2.40000+ 1 4.10000+ 1 4.70432- 3 1.09740- 4 2.50000+ 1 2.50000+ 1 2.64069- 4 1.07800- 4 2.50000+ 1 2.70000+ 1 2.29447- 3 7.17400- 5 2.50000+ 1 2.90000+ 1 7.64718- 3 8.77800- 5 2.50000+ 1 3.00000+ 1 2.43797- 3 9.07800- 5 2.50000+ 1 4.10000+ 1 1.72341- 4 1.10150- 4 2.70000+ 1 2.70000+ 1 4.59380- 2 3.56800- 5 2.70000+ 1 2.90000+ 1 3.13245- 2 5.17200- 5 2.70000+ 1 3.00000+ 1 3.92704- 2 5.47200- 5 2.70000+ 1 4.10000+ 1 4.37748- 3 7.40900- 5 2.90000+ 1 2.90000+ 1 9.53790- 2 6.77600- 5 2.90000+ 1 3.00000+ 1 2.90476- 1 7.07600- 5 2.90000+ 1 4.10000+ 1 1.14760- 2 9.01300- 5 3.00000+ 1 3.00000+ 1 1.10327- 1 7.37600- 5 3.00000+ 1 4.10000+ 1 8.76373- 3 9.31300- 5 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.33919- 8 1.10940- 4 2.50000+ 1 4.72468- 7 1.11350- 4 3.00000+ 1 4.97158- 6 9.43300- 5 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 1.65836- 3 1.03290- 4 2.40000+ 1 2.50000+ 1 2.30000- 1 1.03700- 4 2.40000+ 1 2.70000+ 1 1.82941- 2 6.76400- 5 2.40000+ 1 2.90000+ 1 1.05643- 2 8.36800- 5 2.40000+ 1 3.00000+ 1 4.64873- 2 8.66800- 5 2.40000+ 1 4.10000+ 1 1.50483- 3 1.06050- 4 2.50000+ 1 2.50000+ 1 7.73717- 2 1.04110- 4 2.50000+ 1 2.70000+ 1 1.33087- 1 6.80500- 5 2.50000+ 1 2.90000+ 1 1.32037- 1 8.40900- 5 2.50000+ 1 3.00000+ 1 1.96611- 1 8.70900- 5 2.50000+ 1 4.10000+ 1 1.23506- 2 1.06460- 4 2.70000+ 1 2.70000+ 1 3.25602- 2 3.19900- 5 2.70000+ 1 2.90000+ 1 1.27198- 2 4.80300- 5 2.70000+ 1 3.00000+ 1 3.45967- 2 5.10300- 5 2.70000+ 1 4.10000+ 1 3.06598- 3 7.04000- 5 2.90000+ 1 2.90000+ 1 3.06588- 3 6.40700- 5 2.90000+ 1 3.00000+ 1 2.99567- 2 6.70700- 5 2.90000+ 1 4.10000+ 1 6.19330- 4 8.64400- 5 3.00000+ 1 3.00000+ 1 2.16002- 2 7.00700- 5 3.00000+ 1 4.10000+ 1 1.84274- 3 8.94400- 5 1 59000 0 7 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 2.57889- 9 1.60400- 5 3.00000+ 1 8.73106- 9 1.90400- 5 1 59000 0 9 1.40908+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 3.93428- 1 1.11500- 5 3.00000+ 1 4.10000+ 1 5.98517- 1 1.41500- 5 4.10000+ 1 4.10000+ 1 8.05486- 3 3.35200- 5 1 60000 0 0 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 1.71000+ 0 2.50000+ 1 2.29000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 1 60000 0 0 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.35970- 2 3.00000+ 0 7.09330- 3 5.00000+ 0 6.72740- 3 6.00000+ 0 6.20070- 3 8.00000+ 0 1.55180- 3 1.00000+ 1 1.39280- 3 1.10000+ 1 1.28710- 3 1.30000+ 1 1.00730- 3 1.40000+ 1 9.84320- 4 1.60000+ 1 3.13580- 4 1.80000+ 1 2.52760- 4 1.90000+ 1 2.29720- 4 2.10000+ 1 1.28680- 4 2.20000+ 1 1.24620- 4 2.40000+ 1 8.32000- 6 2.50000+ 1 7.85000- 6 2.70000+ 1 4.48000- 5 2.90000+ 1 2.81200- 5 3.00000+ 1 2.48800- 5 4.10000+ 1 4.96000- 6 1 60000 0 0 1.44240+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.63930- 2 3.00000+ 0 1.26290- 2 5.00000+ 0 1.26380- 2 6.00000+ 0 1.07050- 2 8.00000+ 0 3.83100- 3 1.00000+ 1 3.75210- 3 1.10000+ 1 3.30500- 3 1.30000+ 1 3.17330- 3 1.40000+ 1 3.06700- 3 1.60000+ 1 1.17440- 3 1.80000+ 1 1.09370- 3 1.90000+ 1 9.70860- 4 2.10000+ 1 8.10530- 4 2.20000+ 1 7.83760- 4 2.40000+ 1 4.32430- 4 2.50000+ 1 4.24420- 4 2.70000+ 1 2.51940- 4 2.90000+ 1 1.99330- 4 3.00000+ 1 1.73680- 4 4.10000+ 1 2.69100- 5 1 60000 0 0 1.44240+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.24850-10 3.00000+ 0 5.29810-10 5.00000+ 0 4.43700-10 6.00000+ 0 4.77290-10 8.00000+ 0 1.39910- 9 1.00000+ 1 1.34270- 9 1.10000+ 1 1.40750- 9 1.30000+ 1 1.25420- 9 1.40000+ 1 1.27470- 9 1.60000+ 1 3.18700- 9 1.80000+ 1 3.26570- 9 1.90000+ 1 3.41250- 9 2.10000+ 1 3.65000- 9 2.20000+ 1 3.70130- 9 2.40000+ 1 5.18230- 9 2.50000+ 1 5.24790- 9 2.70000+ 1 7.64590- 9 2.90000+ 1 8.57270- 9 3.00000+ 1 9.02840- 9 4.10000+ 1 2.34050- 8 1 60000 0 0 1.44240+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.55190- 5 3.00000+ 0 2.83010- 7 5.00000+ 0 4.79830- 7 6.00000+ 0 4.44830- 7 8.00000+ 0 8.33190- 9 1.00000+ 1 8.35690- 9 1.10000+ 1 8.50260- 9 1.30000+ 1 2.56080- 9 1.40000+ 1 2.38200- 9 1.60000+ 1 2.14000-10 1.80000+ 1 4.32120-10 1.90000+ 1 3.14900-10 2.10000+ 1 1.26040-10 2.20000+ 1 1.15750-10 2.70000+ 1 1.08070-11 1 60000 0 0 1.44240+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.35300- 6 3.00000+ 0 3.79610- 6 5.00000+ 0 2.89640- 6 6.00000+ 0 2.73040- 6 8.00000+ 0 1.40640- 5 1.00000+ 1 6.33600- 6 1.10000+ 1 7.27810- 6 1.30000+ 1 9.71580- 7 1.40000+ 1 7.78920- 7 1.60000+ 1 8.81510- 6 1.80000+ 1 1.20740- 5 1.90000+ 1 4.94630- 6 2.10000+ 1 1.05400- 6 2.20000+ 1 7.96210- 7 2.70000+ 1 5.51410- 7 1 60000 0 0 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.58474- 4 3.00000+ 0 1.90450- 4 5.00000+ 0 1.65075- 4 6.00000+ 0 1.51912- 4 8.00000+ 0 1.39104- 4 1.00000+ 1 1.20883- 4 1.10000+ 1 1.08906- 4 1.30000+ 1 8.09015- 5 1.40000+ 1 7.15064- 5 1.60000+ 1 6.85527- 5 1.80000+ 1 6.35570- 5 1.90000+ 1 4.84945- 5 2.10000+ 1 4.13809- 5 2.20000+ 1 2.89358- 5 2.40000+ 1 8.32000- 6 2.50000+ 1 7.85000- 6 2.70000+ 1 3.09676- 5 2.90000+ 1 2.81200- 5 3.00000+ 1 2.48800- 5 4.10000+ 1 4.96000- 6 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.05499+ 0 3.00000+ 0 1.50911- 1 5.00000+ 0 1.68308- 1 6.00000+ 0 1.41820- 1 8.00000+ 0 7.23758- 3 1.00000+ 1 7.57691- 3 1.10000+ 1 7.20885- 3 1.30000+ 1 5.65870- 3 1.40000+ 1 5.29993- 3 1.60000+ 1 2.34900- 4 1.80000+ 1 2.68360- 4 1.90000+ 1 8.92207- 5 2.10000+ 1 7.54407- 6 2.20000+ 1 7.58979- 6 2.70000+ 1 2.34510- 8 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.59288- 2 3.00000+ 0 8.11582- 4 5.00000+ 0 9.19782- 4 6.00000+ 0 7.07649- 4 8.00000+ 0 6.63049- 6 1.00000+ 1 6.73843- 6 1.10000+ 1 6.41900- 6 1.30000+ 1 4.53084- 6 1.40000+ 1 4.22132- 6 1.60000+ 1 3.45468- 8 1.80000+ 1 3.66159- 8 1.90000+ 1 1.07995- 8 2.10000+ 1 7.79023-10 2.20000+ 1 7.73273-10 2.70000+ 1 4.50076-13 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.43679+ 0 3.00000+ 0 1.14896+ 1 5.00000+ 0 9.67710+ 0 6.00000+ 0 9.11831+ 0 8.00000+ 0 8.13722+ 0 1.00000+ 1 6.73414+ 0 1.10000+ 1 6.33223+ 0 1.30000+ 1 4.01077+ 0 1.40000+ 1 3.93356+ 0 1.60000+ 1 3.24600+ 0 1.80000+ 1 2.98896+ 0 1.90000+ 1 2.29946+ 0 2.10000+ 1 1.25497+ 0 2.20000+ 1 1.21429+ 0 2.70000+ 1 1.00000+ 0 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.50968- 3 3.00000+ 0 6.09127- 3 5.00000+ 0 5.64254- 3 6.00000+ 0 5.34114- 3 8.00000+ 0 1.40607- 3 1.00000+ 1 1.26518- 3 1.10000+ 1 1.17177- 3 1.30000+ 1 9.21868- 4 1.40000+ 1 9.08592- 4 1.60000+ 1 2.44993- 4 1.80000+ 1 1.89166- 4 1.90000+ 1 1.81215- 4 2.10000+ 1 8.72983- 5 2.20000+ 1 9.56834- 5 2.70000+ 1 1.38324- 5 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.64102- 1 3.68696- 2 6.00000+ 0 4.80963- 1 3.73963- 2 1.00000+ 1 4.75113- 2 4.22042- 2 1.10000+ 1 9.19385- 2 4.23099- 2 1.30000+ 1 6.16074- 4 4.25897- 2 1.40000+ 1 8.24125- 4 4.26127- 2 1.80000+ 1 1.02021- 2 4.33442- 2 1.90000+ 1 1.98271- 2 4.33673- 2 2.10000+ 1 1.32701- 4 4.34683- 2 2.20000+ 1 1.77241- 4 4.34724- 2 2.90000+ 1 1.91541- 3 4.35689- 2 3.00000+ 1 3.79042- 3 4.35721- 2 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 6.65734- 3 2.94104- 2 3.00000+ 0 5.00000+ 0 8.27537- 3 2.97763- 2 3.00000+ 0 6.00000+ 0 8.62944- 3 3.03030- 2 3.00000+ 0 8.00000+ 0 2.46752- 3 3.49519- 2 3.00000+ 0 1.00000+ 1 1.65276- 3 3.51109- 2 3.00000+ 0 1.10000+ 1 1.76287- 3 3.52166- 2 3.00000+ 0 1.30000+ 1 1.23623- 4 3.54964- 2 3.00000+ 0 1.40000+ 1 1.25346- 4 3.55194- 2 3.00000+ 0 1.60000+ 1 5.65864- 4 3.61901- 2 3.00000+ 0 1.80000+ 1 3.62710- 4 3.62509- 2 3.00000+ 0 1.90000+ 1 3.84830- 4 3.62740- 2 3.00000+ 0 2.10000+ 1 2.61985- 5 3.63750- 2 3.00000+ 0 2.20000+ 1 2.61985- 5 3.63791- 2 3.00000+ 0 2.70000+ 1 9.50704- 5 3.64589- 2 3.00000+ 0 2.90000+ 1 4.97306- 5 3.64756- 2 3.00000+ 0 3.00000+ 1 5.09854- 5 3.64788- 2 3.00000+ 0 4.10000+ 1 8.31516- 6 3.64987- 2 5.00000+ 0 5.00000+ 0 8.71606- 4 3.01422- 2 5.00000+ 0 6.00000+ 0 1.77767- 2 3.06689- 2 5.00000+ 0 8.00000+ 0 1.28167- 3 3.53178- 2 5.00000+ 0 1.00000+ 1 3.09523- 4 3.54768- 2 5.00000+ 0 1.10000+ 1 3.02344- 3 3.55825- 2 5.00000+ 0 1.30000+ 1 1.41980- 4 3.58623- 2 5.00000+ 0 1.40000+ 1 4.57310- 4 3.58853- 2 5.00000+ 0 1.60000+ 1 2.82861- 4 3.65560- 2 5.00000+ 0 1.80000+ 1 6.65164- 5 3.66168- 2 5.00000+ 0 1.90000+ 1 6.36448- 4 3.66399- 2 5.00000+ 0 2.10000+ 1 2.93366- 5 3.67409- 2 5.00000+ 0 2.20000+ 1 9.44463- 5 3.67450- 2 5.00000+ 0 2.40000+ 1 1.56882- 7 3.68613- 2 5.00000+ 0 2.70000+ 1 4.70636- 5 3.68248- 2 5.00000+ 0 2.90000+ 1 9.09912- 6 3.68415- 2 5.00000+ 0 3.00000+ 1 8.39321- 5 3.68447- 2 5.00000+ 0 4.10000+ 1 4.07895- 6 3.68646- 2 6.00000+ 0 6.00000+ 0 8.61102- 3 3.11956- 2 6.00000+ 0 8.00000+ 0 1.28783- 3 3.58445- 2 6.00000+ 0 1.00000+ 1 2.91680- 3 3.60035- 2 6.00000+ 0 1.10000+ 1 3.01311- 3 3.61092- 2 6.00000+ 0 1.30000+ 1 5.37009- 4 3.63890- 2 6.00000+ 0 1.40000+ 1 4.84772- 4 3.64120- 2 6.00000+ 0 1.60000+ 1 2.81924- 4 3.70827- 2 6.00000+ 0 1.80000+ 1 6.16396- 4 3.71435- 2 6.00000+ 0 1.90000+ 1 6.38653- 4 3.71666- 2 6.00000+ 0 2.10000+ 1 1.11546- 4 3.72676- 2 6.00000+ 0 2.20000+ 1 1.00407- 4 3.72717- 2 6.00000+ 0 2.40000+ 1 4.70647- 7 3.73880- 2 6.00000+ 0 2.70000+ 1 4.69081- 5 3.73515- 2 6.00000+ 0 2.90000+ 1 8.39341- 5 3.73682- 2 6.00000+ 0 3.00000+ 1 8.42453- 5 3.73714- 2 6.00000+ 0 4.10000+ 1 4.07905- 6 3.73913- 2 8.00000+ 0 8.00000+ 0 2.25126- 4 4.04934- 2 8.00000+ 0 1.00000+ 1 2.58227- 4 4.06524- 2 8.00000+ 0 1.10000+ 1 2.65601- 4 4.07581- 2 8.00000+ 0 1.30000+ 1 1.77278- 5 4.10379- 2 8.00000+ 0 1.40000+ 1 1.72560- 5 4.10609- 2 8.00000+ 0 1.60000+ 1 1.02904- 4 4.17316- 2 8.00000+ 0 1.80000+ 1 5.67903- 5 4.17924- 2 8.00000+ 0 1.90000+ 1 5.80450- 5 4.18155- 2 8.00000+ 0 2.10000+ 1 3.76511- 6 4.19165- 2 8.00000+ 0 2.20000+ 1 3.60820- 6 4.19206- 2 8.00000+ 0 2.70000+ 1 1.72560- 5 4.20004- 2 8.00000+ 0 2.90000+ 1 7.84390- 6 4.20171- 2 8.00000+ 0 3.00000+ 1 7.68691- 6 4.20203- 2 8.00000+ 0 4.10000+ 1 1.56880- 6 4.20402- 2 1.00000+ 1 1.00000+ 1 2.65127- 5 4.08114- 2 1.00000+ 1 1.10000+ 1 5.05467- 4 4.09171- 2 1.00000+ 1 1.30000+ 1 1.86695- 5 4.11969- 2 1.00000+ 1 1.40000+ 1 5.83567- 5 4.12199- 2 1.00000+ 1 1.60000+ 1 5.71049- 5 4.18906- 2 1.00000+ 1 1.80000+ 1 1.12953- 5 4.19514- 2 1.00000+ 1 1.90000+ 1 1.06835- 4 4.19745- 2 1.00000+ 1 2.10000+ 1 3.92203- 6 4.20755- 2 1.00000+ 1 2.20000+ 1 1.20793- 5 4.20796- 2 1.00000+ 1 2.70000+ 1 9.57017- 6 4.21594- 2 1.00000+ 1 2.90000+ 1 1.56881- 6 4.21761- 2 1.00000+ 1 3.00000+ 1 1.41191- 5 4.21793- 2 1.00000+ 1 4.10000+ 1 7.84396- 7 4.21992- 2 1.10000+ 1 1.10000+ 1 2.64970- 4 4.10228- 2 1.10000+ 1 1.30000+ 1 7.45174- 5 4.13026- 2 1.10000+ 1 1.40000+ 1 6.55752- 5 4.13256- 2 1.10000+ 1 1.60000+ 1 5.82019- 5 4.19963- 2 1.10000+ 1 1.80000+ 1 1.07155- 4 4.20571- 2 1.10000+ 1 1.90000+ 1 1.12321- 4 4.20802- 2 1.10000+ 1 2.10000+ 1 1.55314- 5 4.21812- 2 1.10000+ 1 2.20000+ 1 1.36483- 5 4.21853- 2 1.10000+ 1 2.70000+ 1 9.72694- 6 4.22651- 2 1.10000+ 1 2.90000+ 1 1.45899- 5 4.22818- 2 1.10000+ 1 3.00000+ 1 1.49031- 5 4.22850- 2 1.10000+ 1 4.10000+ 1 7.84394- 7 4.23049- 2 1.30000+ 1 1.30000+ 1 1.55073- 7 4.15824- 2 1.30000+ 1 1.40000+ 1 8.83919- 6 4.16054- 2 1.30000+ 1 1.60000+ 1 3.87682- 6 4.22761- 2 1.30000+ 1 1.80000+ 1 3.72173- 6 4.23369- 2 1.30000+ 1 1.90000+ 1 1.48862- 5 4.23600- 2 1.30000+ 1 2.20000+ 1 1.70572- 6 4.24651- 2 1.30000+ 1 2.70000+ 1 6.20272- 7 4.25449- 2 1.30000+ 1 2.90000+ 1 4.65209- 7 4.25616- 2 1.30000+ 1 3.00000+ 1 2.01601- 6 4.25648- 2 1.40000+ 1 1.40000+ 1 2.19627- 6 4.16284- 2 1.40000+ 1 1.60000+ 1 3.76506- 6 4.22991- 2 1.40000+ 1 1.80000+ 1 1.17659- 5 4.23599- 2 1.40000+ 1 1.90000+ 1 1.31772- 5 4.23830- 2 1.40000+ 1 2.10000+ 1 1.72558- 6 4.24840- 2 1.40000+ 1 2.20000+ 1 7.84380- 7 4.24881- 2 1.40000+ 1 2.70000+ 1 6.27492- 7 4.25679- 2 1.40000+ 1 2.90000+ 1 1.56878- 6 4.25846- 2 1.40000+ 1 3.00000+ 1 1.72558- 6 4.25878- 2 1.60000+ 1 1.60000+ 1 1.15654- 5 4.29698- 2 1.60000+ 1 1.80000+ 1 1.23370- 5 4.30307- 2 1.60000+ 1 1.90000+ 1 1.24909- 5 4.30537- 2 1.60000+ 1 2.10000+ 1 7.71017- 7 4.31547- 2 1.60000+ 1 2.20000+ 1 7.71017- 7 4.31588- 2 1.60000+ 1 2.70000+ 1 3.85514- 6 4.32386- 2 1.60000+ 1 2.90000+ 1 1.69618- 6 4.32553- 2 1.60000+ 1 3.00000+ 1 1.69618- 6 4.32585- 2 1.60000+ 1 4.10000+ 1 3.08411- 7 4.32785- 2 1.80000+ 1 1.80000+ 1 1.20496- 6 4.30915- 2 1.80000+ 1 1.90000+ 1 2.16880- 5 4.31145- 2 1.80000+ 1 2.10000+ 1 7.53055- 7 4.32156- 2 1.80000+ 1 2.20000+ 1 2.40973- 6 4.32196- 2 1.80000+ 1 2.70000+ 1 1.95803- 6 4.32994- 2 1.80000+ 1 2.90000+ 1 3.01226- 7 4.33161- 2 1.80000+ 1 3.00000+ 1 2.86162- 6 4.33194- 2 1.80000+ 1 4.10000+ 1 1.50612- 7 4.33393- 2 1.90000+ 1 1.90000+ 1 1.15493- 5 4.31376- 2 1.90000+ 1 2.10000+ 1 3.03934- 6 4.32386- 2 1.90000+ 1 2.20000+ 1 2.73537- 6 4.32427- 2 1.90000+ 1 2.70000+ 1 2.12752- 6 4.33225- 2 1.90000+ 1 2.90000+ 1 3.03934- 6 4.33392- 2 1.90000+ 1 3.00000+ 1 3.03934- 6 4.33424- 2 1.90000+ 1 4.10000+ 1 1.51967- 7 4.33623- 2 2.10000+ 1 2.20000+ 1 3.28405- 7 4.33437- 2 2.10000+ 1 2.70000+ 1 1.64202- 7 4.34235- 2 2.10000+ 1 2.90000+ 1 1.64202- 7 4.34402- 2 2.10000+ 1 3.00000+ 1 4.92597- 7 4.34434- 2 2.20000+ 1 2.20000+ 1 1.47836- 7 4.33478- 2 2.20000+ 1 2.70000+ 1 1.47836- 7 4.34276- 2 2.20000+ 1 2.90000+ 1 2.95672- 7 4.34443- 2 2.20000+ 1 3.00000+ 1 2.95672- 7 4.34475- 2 2.70000+ 1 2.70000+ 1 3.25199- 7 4.35074- 2 2.70000+ 1 2.90000+ 1 3.25199- 7 4.35241- 2 2.70000+ 1 3.00000+ 1 3.25199- 7 4.35273- 2 2.90000+ 1 3.00000+ 1 4.86003- 7 4.35440- 2 3.00000+ 1 3.00000+ 1 1.56881- 7 4.35472- 2 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.95979- 5 3.65900- 4 6.00000+ 0 6.33018- 4 8.92600- 4 1.00000+ 1 1.95529- 2 5.70050- 3 1.10000+ 1 2.91289- 2 5.80620- 3 1.30000+ 1 3.64169- 4 6.08600- 3 1.40000+ 1 5.44508- 4 6.10898- 3 1.80000+ 1 4.53448- 3 6.84054- 3 1.90000+ 1 7.00107- 3 6.86358- 3 2.10000+ 1 4.86998- 5 6.96462- 3 2.20000+ 1 7.46957- 5 6.96868- 3 2.90000+ 1 6.54617- 4 7.06518- 3 3.00000+ 1 9.89396- 4 7.06842- 3 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.29737- 2 5.23200- 5 5.00000+ 0 1.80000+ 1 3.93498- 2 1.13140- 4 5.00000+ 0 1.90000+ 1 4.75791- 2 1.36180- 4 5.00000+ 0 2.10000+ 1 1.26668- 2 2.37220- 4 5.00000+ 0 2.20000+ 1 2.01313- 2 2.41280- 4 5.00000+ 0 2.40000+ 1 1.70199- 2 3.57580- 4 5.00000+ 0 2.70000+ 1 8.59810- 3 3.21100- 4 5.00000+ 0 2.90000+ 1 5.08474- 3 3.37780- 4 5.00000+ 0 3.00000+ 1 5.95536- 3 3.41020- 4 5.00000+ 0 4.10000+ 1 7.40387- 4 3.60940- 4 6.00000+ 0 1.60000+ 1 6.37832- 2 5.79020- 4 6.00000+ 0 1.80000+ 1 2.74213- 2 6.39840- 4 6.00000+ 0 1.90000+ 1 4.94683- 2 6.62880- 4 6.00000+ 0 2.10000+ 1 6.50632- 2 7.63920- 4 6.00000+ 0 2.20000+ 1 8.22699- 2 7.67980- 4 6.00000+ 0 2.40000+ 1 2.37404- 2 8.84280- 4 6.00000+ 0 2.70000+ 1 1.02959- 2 8.47800- 4 6.00000+ 0 2.90000+ 1 3.62873- 3 8.64480- 4 6.00000+ 0 3.00000+ 1 6.40841- 3 8.67720- 4 6.00000+ 0 4.10000+ 1 8.89393- 4 8.87640- 4 8.00000+ 0 8.00000+ 0 1.23065- 2 3.98970- 3 8.00000+ 0 1.00000+ 1 2.46088- 2 4.14870- 3 8.00000+ 0 1.10000+ 1 4.44510- 2 4.25440- 3 8.00000+ 0 1.30000+ 1 3.49399- 2 4.53420- 3 8.00000+ 0 1.40000+ 1 4.86089- 2 4.55718- 3 8.00000+ 0 1.60000+ 1 4.79730- 3 5.22792- 3 8.00000+ 0 1.80000+ 1 5.28604- 3 5.28874- 3 8.00000+ 0 1.90000+ 1 9.46356- 3 5.31178- 3 8.00000+ 0 2.10000+ 1 6.23130- 3 5.41282- 3 8.00000+ 0 2.20000+ 1 8.61821- 3 5.41688- 3 8.00000+ 0 2.40000+ 1 1.42313- 4 5.53318- 3 8.00000+ 0 2.70000+ 1 7.86705- 4 5.49670- 3 8.00000+ 0 2.90000+ 1 7.22275- 4 5.51338- 3 8.00000+ 0 3.00000+ 1 1.24856- 3 5.51662- 3 8.00000+ 0 4.10000+ 1 6.77971- 5 5.53654- 3 1.00000+ 1 1.00000+ 1 1.14783- 4 4.30770- 3 1.00000+ 1 1.10000+ 1 8.05504- 4 4.41340- 3 1.00000+ 1 1.30000+ 1 1.14521- 3 4.69320- 3 1.00000+ 1 1.40000+ 1 1.33862- 2 4.71618- 3 1.00000+ 1 1.60000+ 1 3.82064- 3 5.38692- 3 1.00000+ 1 1.80000+ 1 2.28228- 5 5.44774- 3 1.00000+ 1 1.90000+ 1 1.61100- 4 5.47078- 3 1.00000+ 1 2.10000+ 1 2.02046- 4 5.57182- 3 1.00000+ 1 2.20000+ 1 1.55537- 3 5.57588- 3 1.00000+ 1 2.40000+ 1 4.83303- 5 5.69218- 3 1.00000+ 1 2.70000+ 1 5.95411- 4 5.65570- 3 1.00000+ 1 2.90000+ 1 2.68498- 6 5.67238- 3 1.00000+ 1 3.00000+ 1 2.08083- 5 5.67562- 3 1.00000+ 1 4.10000+ 1 5.10151- 5 5.69554- 3 1.10000+ 1 1.10000+ 1 1.04925- 3 4.51910- 3 1.10000+ 1 1.30000+ 1 8.05599- 3 4.79890- 3 1.10000+ 1 1.40000+ 1 5.35867- 3 4.82188- 3 1.10000+ 1 1.60000+ 1 6.88992- 3 5.49262- 3 1.10000+ 1 1.80000+ 1 1.63118- 4 5.55344- 3 1.10000+ 1 1.90000+ 1 3.34297- 4 5.57648- 3 1.10000+ 1 2.10000+ 1 7.65912- 4 5.67752- 3 1.10000+ 1 2.20000+ 1 5.25612- 4 5.68158- 3 1.10000+ 1 2.40000+ 1 1.44321- 4 5.79788- 3 1.10000+ 1 2.70000+ 1 1.07341- 3 5.76140- 3 1.10000+ 1 2.90000+ 1 2.21523- 5 5.77808- 3 1.10000+ 1 3.00000+ 1 4.22910- 5 5.78132- 3 1.10000+ 1 4.10000+ 1 9.19641- 5 5.80124- 3 1.30000+ 1 1.30000+ 1 1.99156- 3 5.07870- 3 1.30000+ 1 1.40000+ 1 6.91632- 2 5.10168- 3 1.30000+ 1 1.60000+ 1 5.10076- 3 5.77242- 3 1.30000+ 1 1.80000+ 1 3.15488- 4 5.83324- 3 1.30000+ 1 1.90000+ 1 1.77482- 3 5.85628- 3 1.30000+ 1 2.10000+ 1 7.00779- 4 5.95732- 3 1.30000+ 1 2.20000+ 1 8.86512- 3 5.96138- 3 1.30000+ 1 2.40000+ 1 1.68485- 4 6.07768- 3 1.30000+ 1 2.70000+ 1 7.86702- 4 6.04120- 3 1.30000+ 1 2.90000+ 1 4.49731- 5 6.05788- 3 1.30000+ 1 3.00000+ 1 2.34928- 4 6.06112- 3 1.30000+ 1 4.10000+ 1 6.77969- 5 6.08104- 3 1.40000+ 1 1.40000+ 1 1.94286- 2 5.12466- 3 1.40000+ 1 1.60000+ 1 7.15091- 3 5.79540- 3 1.40000+ 1 1.80000+ 1 2.60447- 3 5.85622- 3 1.40000+ 1 1.90000+ 1 1.24051- 3 5.87926- 3 1.40000+ 1 2.10000+ 1 8.73958- 3 5.98030- 3 1.40000+ 1 2.20000+ 1 5.22506- 3 5.98436- 3 1.40000+ 1 2.40000+ 1 5.34319- 4 6.10066- 3 1.40000+ 1 2.70000+ 1 1.10617- 3 6.06418- 3 1.40000+ 1 2.90000+ 1 3.49731- 4 6.08086- 3 1.40000+ 1 3.00000+ 1 1.65800- 4 6.08410- 3 1.40000+ 1 4.10000+ 1 9.46457- 5 6.10402- 3 1.60000+ 1 1.60000+ 1 4.43027- 4 6.46614- 3 1.60000+ 1 1.80000+ 1 8.22942- 4 6.52696- 3 1.60000+ 1 1.90000+ 1 1.47002- 3 6.55000- 3 1.60000+ 1 2.10000+ 1 9.07526- 4 6.65104- 3 1.60000+ 1 2.20000+ 1 1.26132- 3 6.65510- 3 1.60000+ 1 2.40000+ 1 1.67810- 5 6.77140- 3 1.60000+ 1 2.70000+ 1 1.43651- 4 6.73492- 3 1.60000+ 1 2.90000+ 1 1.12769- 4 6.75160- 3 1.60000+ 1 3.00000+ 1 1.93992- 4 6.75484- 3 1.60000+ 1 4.10000+ 1 1.27530- 5 6.77476- 3 1.80000+ 1 1.80000+ 1 6.71261- 7 6.58778- 3 1.80000+ 1 1.90000+ 1 3.28903- 5 6.61082- 3 1.80000+ 1 2.10000+ 1 4.69869- 5 6.71186- 3 1.80000+ 1 2.20000+ 1 3.12793- 4 6.71592- 3 1.80000+ 1 2.40000+ 1 6.71261- 6 6.83222- 3 1.80000+ 1 2.70000+ 1 1.28207- 4 6.79574- 3 1.80000+ 1 3.00000+ 1 4.02742- 6 6.81566- 3 1.80000+ 1 4.10000+ 1 1.07397- 5 6.83558- 3 1.90000+ 1 1.90000+ 1 2.68495- 5 6.63386- 3 1.90000+ 1 2.10000+ 1 1.81908- 4 6.73490- 3 1.90000+ 1 2.20000+ 1 1.30217- 4 6.73896- 3 1.90000+ 1 2.40000+ 1 2.41648- 5 6.85526- 3 1.90000+ 1 2.70000+ 1 2.28890- 4 6.81878- 3 1.90000+ 1 2.90000+ 1 4.69864- 6 6.83546- 3 1.90000+ 1 3.00000+ 1 6.71254- 6 6.83870- 3 1.90000+ 1 4.10000+ 1 1.94668- 5 6.85862- 3 2.10000+ 1 2.10000+ 1 5.77260- 5 6.83594- 3 2.10000+ 1 2.20000+ 1 1.20557- 3 6.84000- 3 2.10000+ 1 2.40000+ 1 2.08080- 5 6.95630- 3 2.10000+ 1 2.70000+ 1 1.39626- 4 6.91982- 3 2.10000+ 1 2.90000+ 1 6.71252- 6 6.93650- 3 2.10000+ 1 3.00000+ 1 2.41648- 5 6.93974- 3 2.10000+ 1 4.10000+ 1 1.20829- 5 6.95966- 3 2.20000+ 1 2.20000+ 1 3.72544- 4 6.84406- 3 2.20000+ 1 2.40000+ 1 5.37006- 5 6.96036- 3 2.20000+ 1 2.70000+ 1 1.94669- 4 6.92388- 3 2.20000+ 1 2.90000+ 1 4.22896- 5 6.94056- 3 2.20000+ 1 3.00000+ 1 1.74524- 5 6.94380- 3 2.20000+ 1 4.10000+ 1 1.67812- 5 6.96372- 3 2.40000+ 1 2.70000+ 1 2.68497- 6 7.04018- 3 2.40000+ 1 2.90000+ 1 6.71259- 7 7.05686- 3 2.40000+ 1 3.00000+ 1 3.35615- 6 7.06010- 3 2.70000+ 1 2.70000+ 1 1.41550- 5 7.00370- 3 2.70000+ 1 2.90000+ 1 2.16475- 5 7.02038- 3 2.70000+ 1 3.00000+ 1 3.74675- 5 7.02362- 3 2.70000+ 1 4.10000+ 1 2.49774- 6 7.04354- 3 2.90000+ 1 3.00000+ 1 1.51179- 6 7.04030- 3 2.90000+ 1 4.10000+ 1 3.02339- 6 7.06022- 3 3.00000+ 1 3.00000+ 1 3.36926- 7 7.04354- 3 3.00000+ 1 4.10000+ 1 1.34767- 6 7.06346- 3 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.47147- 7 5.26700- 4 8.00000+ 0 4.67154- 3 5.17560- 3 1.10000+ 1 8.16000- 5 5.44030- 3 1.30000+ 1 1.11179- 1 5.72010- 3 1.60000+ 1 8.13490- 4 6.41382- 3 1.90000+ 1 1.47148- 5 6.49768- 3 2.10000+ 1 1.88168- 2 6.59872- 3 2.40000+ 1 4.83284- 6 6.71908- 3 2.70000+ 1 1.27328- 4 6.68260- 3 3.00000+ 1 2.93247- 6 6.70252- 3 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 9.88423- 3 2.13120- 4 6.00000+ 0 1.80000+ 1 4.94682- 2 2.73940- 4 6.00000+ 0 1.90000+ 1 1.65525- 2 2.96980- 4 6.00000+ 0 2.10000+ 1 6.26745- 2 3.98020- 4 6.00000+ 0 2.20000+ 1 2.28801- 2 4.02080- 4 6.00000+ 0 2.40000+ 1 7.45458- 4 5.18380- 4 6.00000+ 0 2.70000+ 1 1.50563- 3 4.81900- 4 6.00000+ 0 2.90000+ 1 6.38918- 3 4.98580- 4 6.00000+ 0 3.00000+ 1 2.16902- 3 5.01820- 4 6.00000+ 0 4.10000+ 1 1.29112- 4 5.21740- 4 8.00000+ 0 8.00000+ 0 9.28948- 4 3.62380- 3 8.00000+ 0 1.00000+ 1 2.40336- 2 3.78280- 3 8.00000+ 0 1.10000+ 1 2.32658- 3 3.88850- 3 8.00000+ 0 1.30000+ 1 2.14622- 3 4.16830- 3 8.00000+ 0 1.40000+ 1 3.09798- 3 4.19128- 3 8.00000+ 0 1.60000+ 1 3.34574- 4 4.86202- 3 8.00000+ 0 1.80000+ 1 3.50152- 3 4.92284- 3 8.00000+ 0 1.90000+ 1 4.40126- 4 4.94588- 3 8.00000+ 0 2.10000+ 1 2.74472- 4 5.04692- 3 8.00000+ 0 2.20000+ 1 3.39431- 4 5.05098- 3 8.00000+ 0 2.40000+ 1 3.81668- 5 5.16728- 3 8.00000+ 0 2.70000+ 1 5.35946- 5 5.13080- 3 8.00000+ 0 2.90000+ 1 4.46634- 4 5.14748- 3 8.00000+ 0 3.00000+ 1 5.68420- 5 5.15072- 3 8.00000+ 0 4.10000+ 1 4.87219- 6 5.17064- 3 1.00000+ 1 1.00000+ 1 2.39399- 2 3.94180- 3 1.00000+ 1 1.10000+ 1 7.23787- 2 4.04750- 3 1.00000+ 1 1.30000+ 1 3.86736- 2 4.32730- 3 1.00000+ 1 1.40000+ 1 6.41953- 2 4.35028- 3 1.00000+ 1 1.60000+ 1 5.61851- 3 5.02102- 3 1.00000+ 1 1.80000+ 1 8.77170- 3 5.08184- 3 1.00000+ 1 1.90000+ 1 1.51377- 2 5.10488- 3 1.00000+ 1 2.10000+ 1 6.88632- 3 5.20592- 3 1.00000+ 1 2.20000+ 1 1.14168- 2 5.20998- 3 1.00000+ 1 2.40000+ 1 1.56728- 4 5.32628- 3 1.00000+ 1 2.70000+ 1 9.46842- 4 5.28980- 3 1.00000+ 1 2.90000+ 1 1.17101- 3 5.30648- 3 1.00000+ 1 3.00000+ 1 1.99197- 3 5.30972- 3 1.00000+ 1 4.10000+ 1 8.20171- 5 5.32964- 3 1.10000+ 1 1.10000+ 1 1.86369- 3 4.15320- 3 1.10000+ 1 1.30000+ 1 4.40959- 2 4.43300- 3 1.10000+ 1 1.40000+ 1 6.00739- 3 4.45598- 3 1.10000+ 1 1.60000+ 1 4.64506- 4 5.12672- 3 1.10000+ 1 1.80000+ 1 1.09200- 2 5.18754- 3 1.10000+ 1 1.90000+ 1 6.60185- 4 5.21058- 3 1.10000+ 1 2.10000+ 1 6.69192- 3 5.31162- 3 1.10000+ 1 2.20000+ 1 8.57537- 4 5.31568- 3 1.10000+ 1 2.40000+ 1 9.82613- 5 5.43198- 3 1.10000+ 1 2.70000+ 1 7.63320- 5 5.39550- 3 1.10000+ 1 2.90000+ 1 1.40242- 3 5.41218- 3 1.10000+ 1 3.00000+ 1 8.44530- 5 5.41542- 3 1.10000+ 1 4.10000+ 1 6.49646- 6 5.43534- 3 1.30000+ 1 1.30000+ 1 4.06288- 2 4.71280- 3 1.30000+ 1 1.40000+ 1 1.71843- 1 4.73578- 3 1.30000+ 1 1.60000+ 1 5.07539- 4 5.40652- 3 1.30000+ 1 1.80000+ 1 5.80217- 3 5.46734- 3 1.30000+ 1 1.90000+ 1 8.68023- 3 5.49038- 3 1.30000+ 1 2.10000+ 1 1.22815- 2 5.59142- 3 1.30000+ 1 2.20000+ 1 2.78648- 2 5.59548- 3 1.30000+ 1 2.40000+ 1 6.35040- 4 5.71178- 3 1.30000+ 1 2.70000+ 1 8.60778- 5 5.67530- 3 1.30000+ 1 2.90000+ 1 7.49521- 4 5.69198- 3 1.30000+ 1 3.00000+ 1 1.13042- 3 5.69522- 3 1.30000+ 1 4.10000+ 1 7.30871- 6 5.71514- 3 1.40000+ 1 1.40000+ 1 8.21738- 3 4.75876- 3 1.40000+ 1 1.60000+ 1 6.03376- 4 5.42950- 3 1.40000+ 1 1.80000+ 1 8.56147- 3 5.49032- 3 1.40000+ 1 1.90000+ 1 1.08173- 3 5.51336- 3 1.40000+ 1 2.10000+ 1 2.18332- 2 5.61440- 3 1.40000+ 1 2.20000+ 1 2.42231- 3 5.61846- 3 1.40000+ 1 2.40000+ 1 2.60670- 4 5.73476- 3 1.40000+ 1 2.70000+ 1 9.82624- 5 5.69828- 3 1.40000+ 1 2.90000+ 1 1.07509- 3 5.71496- 3 1.40000+ 1 3.00000+ 1 1.38864- 4 5.71820- 3 1.40000+ 1 4.10000+ 1 8.12065- 6 5.73812- 3 1.60000+ 1 1.60000+ 1 2.92340- 5 6.10024- 3 1.60000+ 1 1.80000+ 1 8.23416- 4 6.16106- 3 1.60000+ 1 1.90000+ 1 8.85099- 5 6.18410- 3 1.60000+ 1 2.10000+ 1 6.25262- 5 6.28514- 3 1.60000+ 1 2.20000+ 1 6.73987- 5 6.28920- 3 1.60000+ 1 2.40000+ 1 8.12042- 6 6.40550- 3 1.60000+ 1 2.70000+ 1 9.74476- 6 6.36902- 3 1.60000+ 1 2.90000+ 1 1.04755- 4 6.38570- 3 1.60000+ 1 3.00000+ 1 1.13682- 5 6.38894- 3 1.60000+ 1 4.10000+ 1 8.12042- 7 6.40886- 3 1.80000+ 1 1.80000+ 1 7.38865- 4 6.22188- 3 1.80000+ 1 1.90000+ 1 2.20102- 3 6.24492- 3 1.80000+ 1 2.10000+ 1 9.78857- 4 6.34596- 3 1.80000+ 1 2.20000+ 1 1.47691- 3 6.35002- 3 1.80000+ 1 2.40000+ 1 1.79832- 5 6.46632- 3 1.80000+ 1 2.70000+ 1 1.33702- 4 6.42984- 3 1.80000+ 1 2.90000+ 1 1.95470- 4 6.44652- 3 1.80000+ 1 3.00000+ 1 2.89291- 4 6.44976- 3 1.80000+ 1 4.10000+ 1 1.17279- 5 6.46968- 3 1.90000+ 1 1.90000+ 1 5.86049- 5 6.26796- 3 1.90000+ 1 2.10000+ 1 1.33169- 3 6.36900- 3 1.90000+ 1 2.20000+ 1 1.58720- 4 6.37306- 3 1.90000+ 1 2.40000+ 1 1.54650- 5 6.48936- 3 1.90000+ 1 2.70000+ 1 1.46509- 5 6.45288- 3 1.90000+ 1 2.90000+ 1 2.94656- 4 6.46956- 3 1.90000+ 1 3.00000+ 1 1.54650- 5 6.47280- 3 1.90000+ 1 4.10000+ 1 1.62790- 6 6.49272- 3 2.10000+ 1 2.10000+ 1 9.17609- 4 6.47004- 3 2.10000+ 1 2.20000+ 1 3.66136- 3 6.47410- 3 2.10000+ 1 2.40000+ 1 6.73993- 5 6.59040- 3 2.10000+ 1 2.70000+ 1 1.05562- 5 6.55392- 3 2.10000+ 1 2.90000+ 1 1.30740- 4 6.57060- 3 2.10000+ 1 3.00000+ 1 1.72967- 4 6.57384- 3 2.10000+ 1 4.10000+ 1 8.12048- 7 6.59376- 3 2.20000+ 1 2.20000+ 1 2.21289- 4 6.47816- 3 2.20000+ 1 2.40000+ 1 3.60493- 5 6.59446- 3 2.20000+ 1 2.70000+ 1 1.40184- 5 6.55798- 3 2.20000+ 1 2.90000+ 1 2.38311- 4 6.57466- 3 2.20000+ 1 3.00000+ 1 2.50338- 5 6.57790- 3 2.20000+ 1 4.10000+ 1 1.00135- 6 6.59782- 3 2.40000+ 1 2.70000+ 1 1.77531- 6 6.67428- 3 2.40000+ 1 2.90000+ 1 2.66301- 6 6.69096- 3 2.40000+ 1 3.00000+ 1 1.77531- 6 6.69420- 3 2.70000+ 1 2.70000+ 1 1.14052- 6 6.63780- 3 2.70000+ 1 2.90000+ 1 2.50911- 5 6.65448- 3 2.70000+ 1 3.00000+ 1 2.28101- 6 6.65772- 3 2.90000+ 1 2.90000+ 1 2.04160- 5 6.67116- 3 2.90000+ 1 3.00000+ 1 5.76451- 5 6.67440- 3 2.90000+ 1 4.10000+ 1 2.40192- 6 6.69432- 3 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.61846- 3 4.64890- 3 1.00000+ 1 5.31104- 5 4.80790- 3 1.10000+ 1 4.90313- 5 4.91360- 3 1.30000+ 1 1.06491- 2 5.19340- 3 1.40000+ 1 9.42566- 2 5.21638- 3 1.60000+ 1 9.83207- 4 5.88712- 3 1.80000+ 1 6.85835- 6 5.94794- 3 1.90000+ 1 6.61854- 6 5.97098- 3 2.10000+ 1 1.73821- 3 6.07202- 3 2.20000+ 1 1.55401- 2 6.07608- 3 2.40000+ 1 7.26795- 7 6.19238- 3 2.50000+ 1 4.15893- 6 6.19285- 3 2.70000+ 1 1.72231- 4 6.15590- 3 2.90000+ 1 1.37011- 6 6.17258- 3 3.00000+ 1 1.20741- 6 6.17582- 3 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.23320- 3 3.09710- 3 8.00000+ 0 1.00000+ 1 8.16058- 4 3.25610- 3 8.00000+ 0 1.10000+ 1 2.73592- 2 3.36180- 3 8.00000+ 0 1.30000+ 1 2.75188- 3 3.64160- 3 8.00000+ 0 1.40000+ 1 3.28334- 3 3.66458- 3 8.00000+ 0 1.60000+ 1 4.45686- 4 4.33532- 3 8.00000+ 0 1.80000+ 1 1.42789- 4 4.39614- 3 8.00000+ 0 1.90000+ 1 3.97124- 3 4.41918- 3 8.00000+ 0 2.10000+ 1 2.53546- 4 4.52022- 3 8.00000+ 0 2.20000+ 1 2.75188- 4 4.52428- 3 8.00000+ 0 2.40000+ 1 4.75961- 5 4.64058- 3 8.00000+ 0 2.70000+ 1 7.18266- 5 4.60410- 3 8.00000+ 0 2.90000+ 1 1.90382- 5 4.62078- 3 8.00000+ 0 3.00000+ 1 4.90653- 4 4.62402- 3 8.00000+ 0 4.10000+ 1 6.05743- 6 4.64394- 3 1.00000+ 1 1.00000+ 1 2.44031- 4 3.41510- 3 1.00000+ 1 1.10000+ 1 4.56597- 2 3.52080- 3 1.00000+ 1 1.30000+ 1 2.83151- 3 3.80060- 3 1.00000+ 1 1.40000+ 1 2.53735- 2 3.82358- 3 1.00000+ 1 1.60000+ 1 1.59228- 4 4.49432- 3 1.00000+ 1 1.80000+ 1 8.73992- 5 4.55514- 3 1.00000+ 1 1.90000+ 1 6.87540- 3 4.57818- 3 1.00000+ 1 2.10000+ 1 4.66453- 4 4.67922- 3 1.00000+ 1 2.20000+ 1 3.58796- 3 4.68328- 3 1.00000+ 1 2.40000+ 1 5.36543- 5 4.79958- 3 1.00000+ 1 2.70000+ 1 2.59612- 5 4.76310- 3 1.00000+ 1 2.90000+ 1 1.12494- 5 4.77978- 3 1.00000+ 1 3.00000+ 1 8.54976- 4 4.78302- 3 1.00000+ 1 4.10000+ 1 2.59612- 6 4.80294- 3 1.10000+ 1 1.10000+ 1 6.29306- 2 3.62650- 3 1.10000+ 1 1.30000+ 1 6.42635- 2 3.90630- 3 1.10000+ 1 1.40000+ 1 9.50484- 2 3.92928- 3 1.10000+ 1 1.60000+ 1 6.32143- 3 4.60002- 3 1.10000+ 1 1.80000+ 1 9.37721- 3 4.66084- 3 1.10000+ 1 1.90000+ 1 2.25713- 2 4.68388- 3 1.10000+ 1 2.10000+ 1 1.09838- 2 4.78492- 3 1.10000+ 1 2.20000+ 1 1.60257- 2 4.78898- 3 1.10000+ 1 2.40000+ 1 2.48363- 4 4.90528- 3 1.10000+ 1 2.70000+ 1 1.06354- 3 4.86880- 3 1.10000+ 1 2.90000+ 1 1.27216- 3 4.88548- 3 1.10000+ 1 3.00000+ 1 2.90332- 3 4.88872- 3 1.10000+ 1 4.10000+ 1 9.25916- 5 4.90864- 3 1.30000+ 1 1.30000+ 1 9.29913- 3 4.18610- 3 1.30000+ 1 1.40000+ 1 1.77467- 1 4.20908- 3 1.30000+ 1 1.60000+ 1 6.00562- 4 4.87982- 3 1.30000+ 1 1.80000+ 1 5.81547- 4 4.94064- 3 1.30000+ 1 1.90000+ 1 9.00225- 3 4.96368- 3 1.30000+ 1 2.10000+ 1 2.79601- 3 5.06472- 3 1.30000+ 1 2.20000+ 1 2.27715- 2 5.06878- 3 1.30000+ 1 2.40000+ 1 1.41052- 4 5.18508- 3 1.30000+ 1 2.70000+ 1 9.95129- 5 5.14860- 3 1.30000+ 1 2.90000+ 1 7.87500- 5 5.16528- 3 1.30000+ 1 3.00000+ 1 1.10596- 3 5.16852- 3 1.30000+ 1 4.10000+ 1 8.65387- 6 5.18844- 3 1.40000+ 1 1.40000+ 1 1.19976- 1 4.23206- 3 1.40000+ 1 1.60000+ 1 7.57185- 4 4.90280- 3 1.40000+ 1 1.80000+ 1 4.83751- 3 4.96362- 3 1.40000+ 1 1.90000+ 1 1.49412- 2 4.98666- 3 1.40000+ 1 2.10000+ 1 2.69822- 2 5.08770- 3 1.40000+ 1 2.20000+ 1 3.45375- 2 5.09176- 3 1.40000+ 1 2.40000+ 1 1.50230- 3 5.20806- 3 1.40000+ 1 2.70000+ 1 1.27216- 4 5.17158- 3 1.40000+ 1 2.90000+ 1 6.47309- 4 5.18826- 3 1.40000+ 1 3.00000+ 1 1.88128- 3 5.19150- 3 1.40000+ 1 4.10000+ 1 1.12494- 5 5.21142- 3 1.60000+ 1 1.60000+ 1 3.98079- 5 5.57354- 3 1.60000+ 1 1.80000+ 1 2.85576- 5 5.63436- 3 1.60000+ 1 1.90000+ 1 9.20708- 4 5.65740- 3 1.60000+ 1 2.10000+ 1 5.97094- 5 5.75844- 3 1.60000+ 1 2.20000+ 1 6.83634- 5 5.76250- 3 1.60000+ 1 2.40000+ 1 6.92309- 6 5.87880- 3 1.60000+ 1 2.70000+ 1 1.29812- 5 5.84232- 3 1.60000+ 1 2.90000+ 1 3.46144- 6 5.85900- 3 1.60000+ 1 3.00000+ 1 1.14231- 4 5.86224- 3 1.60000+ 1 4.10000+ 1 8.65381- 7 5.88216- 3 1.80000+ 1 1.80000+ 1 6.68454- 6 5.69518- 3 1.80000+ 1 1.90000+ 1 1.36113- 3 5.71822- 3 1.80000+ 1 2.10000+ 1 9.02399- 5 5.81926- 3 1.80000+ 1 2.20000+ 1 6.83469- 4 5.82332- 3 1.80000+ 1 2.40000+ 1 7.52012- 6 5.93962- 3 1.80000+ 1 2.70000+ 1 4.17767- 6 5.90314- 3 1.80000+ 1 2.90000+ 1 1.67109- 6 5.91982- 3 1.80000+ 1 3.00000+ 1 1.69624- 4 5.92306- 3 1.90000+ 1 1.90000+ 1 1.78476- 3 5.74126- 3 1.90000+ 1 2.10000+ 1 1.40632- 3 5.84230- 3 1.90000+ 1 2.20000+ 1 2.26905- 3 5.84636- 3 1.90000+ 1 2.40000+ 1 2.60722- 5 5.96266- 3 1.90000+ 1 2.70000+ 1 1.41424- 4 5.92618- 3 1.90000+ 1 2.90000+ 1 1.74604- 4 5.94286- 3 1.90000+ 1 3.00000+ 1 4.55876- 4 5.94610- 3 1.90000+ 1 4.10000+ 1 1.26406- 5 5.96602- 3 2.10000+ 1 2.10000+ 1 2.03666- 4 5.94334- 3 2.10000+ 1 2.20000+ 1 3.56323- 3 5.94740- 3 2.10000+ 1 2.40000+ 1 1.46717- 5 6.06370- 3 2.10000+ 1 2.70000+ 1 1.03565- 5 6.02722- 3 2.10000+ 1 2.90000+ 1 1.29456- 5 6.04390- 3 2.10000+ 1 3.00000+ 1 1.88993- 4 6.04714- 3 2.10000+ 1 4.10000+ 1 8.63008- 7 6.06706- 3 2.20000+ 1 2.20000+ 1 2.66568- 3 5.95146- 3 2.20000+ 1 2.40000+ 1 1.66370- 4 6.06776- 3 2.20000+ 1 2.70000+ 1 1.20153- 5 6.03128- 3 2.20000+ 1 2.90000+ 1 1.01669- 4 6.04796- 3 2.20000+ 1 3.00000+ 1 3.33666- 4 6.05120- 3 2.20000+ 1 4.10000+ 1 9.24299- 7 6.07112- 3 2.40000+ 1 2.70000+ 1 6.88815- 7 6.14758- 3 2.40000+ 1 2.90000+ 1 6.88815- 7 6.16426- 3 2.40000+ 1 3.00000+ 1 2.75520- 6 6.16750- 3 2.70000+ 1 2.70000+ 1 1.21057- 6 6.11110- 3 2.70000+ 1 2.90000+ 1 1.21057- 6 6.12778- 3 2.70000+ 1 3.00000+ 1 2.66321- 5 6.13102- 3 2.90000+ 1 3.00000+ 1 3.75633- 5 6.14770- 3 3.00000+ 1 3.00000+ 1 6.31632- 5 6.15094- 3 3.00000+ 1 4.10000+ 1 3.41424- 6 6.17086- 3 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.05723- 5 1.59000- 4 1.10000+ 1 1.00394- 4 2.64700- 4 1.80000+ 1 3.31118- 4 1.29904- 3 1.90000+ 1 4.14292- 4 1.32208- 3 2.90000+ 1 6.90403- 5 1.52368- 3 3.00000+ 1 8.23827- 5 1.52692- 3 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 8.29823- 2 3.03200- 5 1.00000+ 1 2.20000+ 1 1.14520- 1 3.43800- 5 1.00000+ 1 2.40000+ 1 1.33894- 2 1.50680- 4 1.00000+ 1 2.50000+ 1 1.79307- 2 1.51150- 4 1.00000+ 1 2.70000+ 1 9.38292- 3 1.14200- 4 1.00000+ 1 2.90000+ 1 7.81408- 3 1.30880- 4 1.00000+ 1 3.00000+ 1 1.25818- 2 1.34120- 4 1.00000+ 1 4.10000+ 1 7.99464- 4 1.54040- 4 1.10000+ 1 1.80000+ 1 8.28063- 2 1.19400- 5 1.10000+ 1 1.90000+ 1 1.20266- 1 3.49800- 5 1.10000+ 1 2.10000+ 1 5.50863- 2 1.36020- 4 1.10000+ 1 2.20000+ 1 7.93019- 2 1.40080- 4 1.10000+ 1 2.40000+ 1 3.28494- 2 2.56380- 4 1.10000+ 1 2.50000+ 1 4.13716- 2 2.56850- 4 1.10000+ 1 2.70000+ 1 1.22521- 2 2.19900- 4 1.10000+ 1 2.90000+ 1 1.03944- 2 2.36580- 4 1.10000+ 1 3.00000+ 1 1.50675- 2 2.39820- 4 1.10000+ 1 4.10000+ 1 1.04871- 3 2.59740- 4 1.30000+ 1 1.60000+ 1 2.98600- 2 2.30920- 4 1.30000+ 1 1.80000+ 1 6.51307- 3 2.91740- 4 1.30000+ 1 1.90000+ 1 5.41132- 3 3.14780- 4 1.30000+ 1 2.10000+ 1 9.17384- 3 4.15820- 4 1.30000+ 1 2.20000+ 1 1.14880- 2 4.19880- 4 1.30000+ 1 2.40000+ 1 1.61961- 3 5.36180- 4 1.30000+ 1 2.50000+ 1 1.59217- 3 5.36650- 4 1.30000+ 1 2.70000+ 1 3.36629- 3 4.99700- 4 1.30000+ 1 2.90000+ 1 6.95497- 4 5.16380- 4 1.30000+ 1 3.00000+ 1 5.49291- 4 5.19620- 4 1.30000+ 1 4.10000+ 1 2.77404- 4 5.39540- 4 1.40000+ 1 1.60000+ 1 4.33081- 2 2.53900- 4 1.40000+ 1 1.80000+ 1 1.46926- 3 3.14720- 4 1.40000+ 1 1.90000+ 1 1.25887- 2 3.37760- 4 1.40000+ 1 2.10000+ 1 1.22398- 2 4.38800- 4 1.40000+ 1 2.20000+ 1 1.87522- 2 4.42860- 4 1.40000+ 1 2.40000+ 1 1.91666- 3 5.59160- 4 1.40000+ 1 2.50000+ 1 2.92536- 3 5.59630- 4 1.40000+ 1 2.70000+ 1 4.84524- 3 5.22680- 4 1.40000+ 1 2.90000+ 1 1.51511- 4 5.39360- 4 1.40000+ 1 3.00000+ 1 1.28050- 3 5.42600- 4 1.40000+ 1 4.10000+ 1 3.99159- 4 5.62520- 4 1.60000+ 1 1.60000+ 1 6.21952- 3 9.24640- 4 1.60000+ 1 1.80000+ 1 1.03156- 2 9.85460- 4 1.60000+ 1 1.90000+ 1 1.86820- 2 1.00850- 3 1.60000+ 1 2.10000+ 1 1.97916- 2 1.10954- 3 1.60000+ 1 2.20000+ 1 2.86975- 2 1.11360- 3 1.60000+ 1 2.40000+ 1 2.09731- 3 1.22990- 3 1.60000+ 1 2.50000+ 1 2.67027- 3 1.23037- 3 1.60000+ 1 2.70000+ 1 1.73435- 3 1.19342- 3 1.60000+ 1 2.90000+ 1 1.40299- 3 1.21010- 3 1.60000+ 1 3.00000+ 1 2.45538- 3 1.21334- 3 1.60000+ 1 4.10000+ 1 1.48158- 4 1.23326- 3 1.80000+ 1 1.80000+ 1 5.25571- 4 1.04628- 3 1.80000+ 1 1.90000+ 1 1.31578- 3 1.06932- 3 1.80000+ 1 2.10000+ 1 7.92386- 4 1.17036- 3 1.80000+ 1 2.20000+ 1 3.65345- 4 1.17442- 3 1.80000+ 1 2.40000+ 1 3.95128- 5 1.29072- 3 1.80000+ 1 2.50000+ 1 1.41268- 4 1.29119- 3 1.80000+ 1 2.70000+ 1 1.09063- 3 1.25424- 3 1.80000+ 1 2.90000+ 1 1.14746- 4 1.27092- 3 1.80000+ 1 3.00000+ 1 1.35855- 4 1.27416- 3 1.80000+ 1 4.10000+ 1 8.98472- 5 1.29408- 3 1.90000+ 1 1.90000+ 1 1.68920- 3 1.09236- 3 1.90000+ 1 2.10000+ 1 9.27627- 4 1.19340- 3 1.90000+ 1 2.20000+ 1 2.39399- 3 1.19746- 3 1.90000+ 1 2.40000+ 1 1.41070- 4 1.31376- 3 1.90000+ 1 2.50000+ 1 2.55068- 4 1.31423- 3 1.90000+ 1 2.70000+ 1 1.90630- 3 1.27728- 3 1.90000+ 1 2.90000+ 1 1.44715- 4 1.29396- 3 1.90000+ 1 3.00000+ 1 3.73236- 4 1.29720- 3 1.90000+ 1 4.10000+ 1 1.57207- 4 1.31712- 3 2.10000+ 1 2.10000+ 1 2.36356- 4 1.29444- 3 2.10000+ 1 2.20000+ 1 1.03713- 3 1.29850- 3 2.10000+ 1 2.40000+ 1 1.33191- 4 1.41480- 3 2.10000+ 1 2.50000+ 1 1.00331- 3 1.41527- 3 2.10000+ 1 2.70000+ 1 2.08250- 3 1.37832- 3 2.10000+ 1 2.90000+ 1 7.96973- 5 1.39500- 3 2.10000+ 1 3.00000+ 1 1.00441- 4 1.39824- 3 2.10000+ 1 4.10000+ 1 1.71403- 4 1.41816- 3 2.20000+ 1 2.20000+ 1 6.02491- 4 1.30256- 3 2.20000+ 1 2.40000+ 1 1.00236- 3 1.41886- 3 2.20000+ 1 2.50000+ 1 5.66369- 4 1.41933- 3 2.20000+ 1 2.70000+ 1 2.97706- 3 1.38238- 3 2.20000+ 1 2.90000+ 1 3.66431- 5 1.39906- 3 2.20000+ 1 3.00000+ 1 2.56510- 4 1.40230- 3 2.20000+ 1 4.10000+ 1 2.44666- 4 1.42222- 3 2.40000+ 1 2.40000+ 1 1.33007- 5 1.53516- 3 2.40000+ 1 2.50000+ 1 2.18675- 4 1.53563- 3 2.40000+ 1 2.70000+ 1 1.97909- 4 1.49868- 3 2.40000+ 1 2.90000+ 1 3.72415- 6 1.51536- 3 2.40000+ 1 3.00000+ 1 1.38328- 5 1.51860- 3 2.40000+ 1 4.10000+ 1 1.59611- 5 1.53852- 3 2.50000+ 1 2.50000+ 1 4.36269- 5 1.53610- 3 2.50000+ 1 2.70000+ 1 2.51656- 4 1.49915- 3 2.50000+ 1 2.90000+ 1 1.70246- 5 1.51583- 3 2.50000+ 1 3.00000+ 1 2.39417- 5 1.51907- 3 2.50000+ 1 4.10000+ 1 2.07486- 5 1.53899- 3 2.70000+ 1 2.70000+ 1 1.00201- 4 1.46220- 3 2.70000+ 1 2.90000+ 1 1.37091- 4 1.47888- 3 2.70000+ 1 3.00000+ 1 2.40291- 4 1.48212- 3 2.70000+ 1 4.10000+ 1 1.69493- 5 1.50204- 3 2.90000+ 1 2.90000+ 1 4.62745- 6 1.49556- 3 2.90000+ 1 3.00000+ 1 1.17790- 5 1.49880- 3 2.90000+ 1 4.10000+ 1 9.67565- 6 1.51872- 3 3.00000+ 1 3.00000+ 1 1.93562- 5 1.50204- 3 3.00000+ 1 4.10000+ 1 1.98524- 5 1.52196- 3 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.57078- 4 3.85500- 4 1.60000+ 1 3.71586- 4 1.07922- 3 2.10000+ 1 1.71579- 3 1.26412- 3 2.70000+ 1 6.47039- 5 1.34800- 3 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.40000+ 1 1.02057- 2 9.73800- 5 1.10000+ 1 2.50000+ 1 1.21408- 2 9.78500- 5 1.10000+ 1 2.70000+ 1 7.23200- 3 6.09000- 5 1.10000+ 1 2.90000+ 1 7.13326- 3 7.75800- 5 1.10000+ 1 3.00000+ 1 8.00141- 3 8.08200- 5 1.10000+ 1 4.10000+ 1 5.85255- 4 1.00740- 4 1.30000+ 1 1.60000+ 1 1.05001- 1 7.19200- 5 1.30000+ 1 1.80000+ 1 1.05248- 1 1.32740- 4 1.30000+ 1 1.90000+ 1 1.45729- 1 1.55780- 4 1.30000+ 1 2.10000+ 1 4.61295- 2 2.56820- 4 1.30000+ 1 2.20000+ 1 5.19610- 2 2.60880- 4 1.30000+ 1 2.40000+ 1 4.86321- 2 3.77180- 4 1.30000+ 1 2.50000+ 1 7.30182- 2 3.77650- 4 1.30000+ 1 2.70000+ 1 1.75085- 2 3.40700- 4 1.30000+ 1 2.90000+ 1 1.23584- 2 3.57380- 4 1.30000+ 1 3.00000+ 1 1.81605- 2 3.60620- 4 1.30000+ 1 4.10000+ 1 1.52078- 3 3.80540- 4 1.40000+ 1 1.60000+ 1 1.77380- 2 9.49000- 5 1.40000+ 1 1.80000+ 1 1.23518- 1 1.55720- 4 1.40000+ 1 1.90000+ 1 1.23887- 2 1.78760- 4 1.40000+ 1 2.10000+ 1 2.18126- 3 2.79800- 4 1.40000+ 1 2.20000+ 1 6.01740- 3 2.83860- 4 1.40000+ 1 2.40000+ 1 1.40452- 3 4.00160- 4 1.40000+ 1 2.50000+ 1 1.17662- 3 4.00630- 4 1.40000+ 1 2.70000+ 1 1.96636- 3 3.63680- 4 1.40000+ 1 2.90000+ 1 1.18448- 2 3.80360- 4 1.40000+ 1 3.00000+ 1 1.41304- 3 3.83600- 4 1.40000+ 1 4.10000+ 1 1.62967- 4 4.03520- 4 1.60000+ 1 1.60000+ 1 7.81659- 4 7.65640- 4 1.60000+ 1 1.80000+ 1 1.08527- 2 8.26460- 4 1.60000+ 1 1.90000+ 1 1.75615- 3 8.49500- 4 1.60000+ 1 2.10000+ 1 3.70637- 4 9.50540- 4 1.60000+ 1 2.20000+ 1 1.23123- 3 9.54600- 4 1.60000+ 1 2.40000+ 1 3.13405- 5 1.07090- 3 1.60000+ 1 2.50000+ 1 1.45840- 4 1.07137- 3 1.60000+ 1 2.70000+ 1 2.05516- 4 1.03442- 3 1.60000+ 1 2.90000+ 1 1.00043- 3 1.05110- 3 1.60000+ 1 3.00000+ 1 2.07315- 4 1.05434- 3 1.60000+ 1 4.10000+ 1 1.74772- 5 1.07426- 3 1.80000+ 1 1.80000+ 1 8.23123- 3 8.87280- 4 1.80000+ 1 1.90000+ 1 2.52703- 2 9.10320- 4 1.80000+ 1 2.10000+ 1 2.32439- 2 1.01136- 3 1.80000+ 1 2.20000+ 1 3.84636- 2 1.01542- 3 1.80000+ 1 2.40000+ 1 2.06733- 3 1.13172- 3 1.80000+ 1 2.50000+ 1 3.60141- 3 1.13219- 3 1.80000+ 1 2.70000+ 1 1.88018- 3 1.09524- 3 1.80000+ 1 2.90000+ 1 1.90340- 3 1.11192- 3 1.80000+ 1 3.00000+ 1 3.29442- 3 1.11516- 3 1.80000+ 1 4.10000+ 1 1.63406- 4 1.13508- 3 1.90000+ 1 1.90000+ 1 7.54059- 4 9.33360- 4 1.90000+ 1 2.10000+ 1 2.27702- 3 1.03440- 3 1.90000+ 1 2.20000+ 1 1.73709- 3 1.03846- 3 1.90000+ 1 2.40000+ 1 1.62320- 3 1.15476- 3 1.90000+ 1 2.50000+ 1 4.79650- 4 1.15523- 3 1.90000+ 1 2.70000+ 1 2.21541- 4 1.11828- 3 1.90000+ 1 2.90000+ 1 2.57795- 3 1.13496- 3 1.90000+ 1 3.00000+ 1 1.65306- 4 1.13820- 3 1.90000+ 1 4.10000+ 1 1.82919- 5 1.15812- 3 2.10000+ 1 2.10000+ 1 7.92759- 4 1.13544- 3 2.10000+ 1 2.20000+ 1 2.24107- 3 1.13950- 3 2.10000+ 1 2.40000+ 1 1.95700- 4 1.25580- 3 2.10000+ 1 2.50000+ 1 3.45440- 4 1.25627- 3 2.10000+ 1 2.70000+ 1 5.65375- 5 1.21932- 3 2.10000+ 1 2.90000+ 1 2.13228- 3 1.23600- 3 2.10000+ 1 3.00000+ 1 2.28641- 4 1.23924- 3 2.10000+ 1 4.10000+ 1 4.97031- 6 1.25916- 3 2.20000+ 1 2.20000+ 1 4.56155- 4 1.14356- 3 2.20000+ 1 2.40000+ 1 5.99986- 4 1.25986- 3 2.20000+ 1 2.50000+ 1 1.25035- 4 1.26033- 3 2.20000+ 1 2.70000+ 1 1.41141- 4 1.22338- 3 2.20000+ 1 2.90000+ 1 3.09321- 3 1.24006- 3 2.20000+ 1 3.00000+ 1 1.40602- 4 1.24330- 3 2.20000+ 1 4.10000+ 1 1.18066- 5 1.26322- 3 2.40000+ 1 2.40000+ 1 3.40258- 5 1.37616- 3 2.40000+ 1 2.50000+ 1 4.50293- 4 1.37663- 3 2.40000+ 1 2.70000+ 1 1.59494- 6 1.33968- 3 2.40000+ 1 2.90000+ 1 1.47792- 4 1.35636- 3 2.40000+ 1 3.00000+ 1 1.54175- 4 1.35960- 3 2.50000+ 1 2.50000+ 1 1.54176- 5 1.37710- 3 2.50000+ 1 2.70000+ 1 1.86070- 5 1.34015- 3 2.50000+ 1 2.90000+ 1 2.59441- 4 1.35683- 3 2.50000+ 1 3.00000+ 1 4.09354- 5 1.36007- 3 2.50000+ 1 4.10000+ 1 1.59495- 6 1.37999- 3 2.70000+ 1 2.70000+ 1 1.26336- 5 1.30320- 3 2.70000+ 1 2.90000+ 1 1.52698- 4 1.31988- 3 2.70000+ 1 3.00000+ 1 2.14224- 5 1.32312- 3 2.70000+ 1 4.10000+ 1 2.19705- 6 1.34304- 3 2.90000+ 1 2.90000+ 1 1.31117- 4 1.33656- 3 2.90000+ 1 3.00000+ 1 3.88669- 4 1.33980- 3 2.90000+ 1 4.10000+ 1 1.87299- 5 1.35972- 3 3.00000+ 1 3.00000+ 1 1.87953- 5 1.34304- 3 3.00000+ 1 4.10000+ 1 4.33737- 6 1.36296- 3 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.89694- 5 2.79800- 4 1.40000+ 1 2.22937- 4 3.02780- 4 1.60000+ 1 4.96432- 4 9.73520- 4 2.10000+ 1 2.20324- 4 1.15842- 3 2.20000+ 1 1.79965- 3 1.16248- 3 2.70000+ 1 8.73928- 5 1.24230- 3 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.80000+ 1 1.54358- 2 2.70400- 5 1.30000+ 1 1.90000+ 1 8.28843- 2 5.00800- 5 1.30000+ 1 2.10000+ 1 1.23494- 2 1.51120- 4 1.30000+ 1 2.20000+ 1 1.00858- 2 1.55180- 4 1.30000+ 1 2.40000+ 1 4.82745- 3 2.71480- 4 1.30000+ 1 2.50000+ 1 7.15819- 3 2.71950- 4 1.30000+ 1 2.70000+ 1 2.80179- 3 2.35000- 4 1.30000+ 1 2.90000+ 1 1.92420- 3 2.51680- 4 1.30000+ 1 3.00000+ 1 8.37878- 3 2.54920- 4 1.30000+ 1 4.10000+ 1 2.36214- 4 2.74840- 4 1.40000+ 1 1.60000+ 1 8.25365- 2 0.00000+ 0 1.40000+ 1 1.80000+ 1 1.01420- 1 5.00200- 5 1.40000+ 1 1.90000+ 1 1.83081- 1 7.30600- 5 1.40000+ 1 2.10000+ 1 5.11130- 2 1.74100- 4 1.40000+ 1 2.20000+ 1 7.94051- 2 1.78160- 4 1.40000+ 1 2.40000+ 1 4.48067- 2 2.94460- 4 1.40000+ 1 2.50000+ 1 5.33612- 2 2.94930- 4 1.40000+ 1 2.70000+ 1 1.58050- 2 2.57980- 4 1.40000+ 1 2.90000+ 1 1.27976- 2 2.74660- 4 1.40000+ 1 3.00000+ 1 2.10162- 2 2.77900- 4 1.40000+ 1 4.10000+ 1 1.34793- 3 2.97820- 4 1.60000+ 1 1.60000+ 1 7.75381- 4 6.59940- 4 1.60000+ 1 1.80000+ 1 1.14490- 3 7.20760- 4 1.60000+ 1 1.90000+ 1 1.67126- 2 7.43800- 4 1.60000+ 1 2.10000+ 1 1.00716- 3 8.44840- 4 1.60000+ 1 2.20000+ 1 1.09129- 3 8.48900- 4 1.60000+ 1 2.40000+ 1 2.38383- 4 9.65200- 4 1.60000+ 1 2.50000+ 1 3.62100- 4 9.65670- 4 1.60000+ 1 2.70000+ 1 2.02916- 4 9.28720- 4 1.60000+ 1 2.90000+ 1 1.28680- 4 9.45400- 4 1.60000+ 1 3.00000+ 1 1.51940- 3 9.48640- 4 1.60000+ 1 4.10000+ 1 1.73220- 5 9.68560- 4 1.80000+ 1 1.80000+ 1 1.72485- 4 7.81580- 4 1.80000+ 1 1.90000+ 1 2.00257- 2 8.04620- 4 1.80000+ 1 2.10000+ 1 5.25155- 4 9.05660- 4 1.80000+ 1 2.20000+ 1 3.51469- 3 9.09720- 4 1.80000+ 1 2.40000+ 1 2.58726- 4 1.02602- 3 1.80000+ 1 2.50000+ 1 1.54551- 3 1.02649- 3 1.80000+ 1 2.70000+ 1 1.37475- 4 9.89540- 4 1.80000+ 1 2.90000+ 1 3.58624- 5 1.00622- 3 1.80000+ 1 3.00000+ 1 1.84180- 3 1.00946- 3 1.80000+ 1 4.10000+ 1 1.11004- 5 1.02938- 3 1.90000+ 1 1.90000+ 1 2.71298- 2 8.27660- 4 1.90000+ 1 2.10000+ 1 3.65552- 2 9.28700- 4 1.90000+ 1 2.20000+ 1 4.93358- 2 9.32760- 4 1.90000+ 1 2.40000+ 1 4.57317- 3 1.04906- 3 1.90000+ 1 2.50000+ 1 5.20296- 3 1.04953- 3 1.90000+ 1 2.70000+ 1 2.64860- 3 1.01258- 3 1.90000+ 1 2.90000+ 1 2.51701- 3 1.02926- 3 1.90000+ 1 3.00000+ 1 6.02164- 3 1.03250- 3 1.90000+ 1 4.10000+ 1 2.29250- 4 1.05242- 3 2.10000+ 1 2.10000+ 1 2.36279- 4 1.02974- 3 2.10000+ 1 2.20000+ 1 3.73321- 3 1.03380- 3 2.10000+ 1 2.40000+ 1 9.00806- 5 1.15010- 3 2.10000+ 1 2.50000+ 1 1.14079- 3 1.15057- 3 2.10000+ 1 2.70000+ 1 9.89386- 5 1.11362- 3 2.10000+ 1 2.90000+ 1 3.83958- 5 1.13030- 3 2.10000+ 1 3.00000+ 1 3.07695- 3 1.13354- 3 2.10000+ 1 4.10000+ 1 8.12205- 6 1.15346- 3 2.20000+ 1 2.20000+ 1 1.79638- 3 1.03786- 3 2.20000+ 1 2.40000+ 1 7.97720- 4 1.15416- 3 2.20000+ 1 2.50000+ 1 7.18140- 4 1.15463- 3 2.20000+ 1 2.70000+ 1 1.01821- 4 1.11768- 3 2.20000+ 1 2.90000+ 1 2.44784- 4 1.13436- 3 2.20000+ 1 3.00000+ 1 3.75864- 3 1.13760- 3 2.20000+ 1 4.10000+ 1 8.09186- 6 1.15752- 3 2.40000+ 1 2.40000+ 1 1.13543- 5 1.27046- 3 2.40000+ 1 2.50000+ 1 6.33706- 4 1.27093- 3 2.40000+ 1 2.70000+ 1 2.19983- 5 1.23398- 3 2.40000+ 1 2.90000+ 1 2.41287- 5 1.25066- 3 2.40000+ 1 3.00000+ 1 3.50555- 4 1.25390- 3 2.40000+ 1 4.10000+ 1 2.12894- 6 1.27382- 3 2.50000+ 1 2.50000+ 1 1.56133- 4 1.27140- 3 2.50000+ 1 2.70000+ 1 2.69671- 5 1.23445- 3 2.50000+ 1 2.90000+ 1 1.46195- 4 1.25113- 3 2.50000+ 1 3.00000+ 1 4.08064- 4 1.25437- 3 2.50000+ 1 4.10000+ 1 2.12906- 6 1.27429- 3 2.70000+ 1 2.70000+ 1 1.47241- 5 1.19750- 3 2.70000+ 1 2.90000+ 1 1.64562- 5 1.21418- 3 2.70000+ 1 3.00000+ 1 2.60695- 4 1.21742- 3 2.70000+ 1 4.10000+ 1 2.59836- 6 1.23734- 3 2.90000+ 1 2.90000+ 1 2.12180- 6 1.23086- 3 2.90000+ 1 3.00000+ 1 3.07648- 4 1.23410- 3 2.90000+ 1 4.10000+ 1 2.12180- 6 1.25402- 3 3.00000+ 1 3.00000+ 1 6.22064- 4 1.23734- 3 3.00000+ 1 4.10000+ 1 4.01342- 5 1.25726- 3 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.51201- 3 7.54540- 4 1.90000+ 1 5.07746- 4 7.77580- 4 2.40000+ 1 5.62670- 4 9.98980- 4 2.90000+ 1 5.85923- 4 9.79180- 4 3.00000+ 1 8.52467- 5 9.82420- 4 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 4.99718- 2 1.46600- 5 1.40000+ 1 2.50000+ 1 7.93895- 3 1.51300- 5 1.40000+ 1 3.00000+ 1 2.27426- 3 0.00000+ 0 1.40000+ 1 4.10000+ 1 2.89309- 4 1.80200- 5 1.60000+ 1 1.60000+ 1 9.92676- 6 3.80140- 4 1.60000+ 1 1.80000+ 1 3.88796- 3 4.40960- 4 1.60000+ 1 1.90000+ 1 2.76615- 3 4.64000- 4 1.60000+ 1 2.10000+ 1 8.80770- 2 5.65040- 4 1.60000+ 1 2.20000+ 1 1.14554- 2 5.69100- 4 1.60000+ 1 2.40000+ 1 5.44654- 3 6.85400- 4 1.60000+ 1 2.50000+ 1 1.89606- 3 6.85870- 4 1.60000+ 1 2.70000+ 1 2.64722- 5 6.48920- 4 1.60000+ 1 2.90000+ 1 4.13613- 4 6.65600- 4 1.60000+ 1 3.00000+ 1 2.28307- 4 6.68840- 4 1.60000+ 1 4.10000+ 1 3.30892- 6 6.88760- 4 1.80000+ 1 1.80000+ 1 1.85643- 3 5.01780- 4 1.80000+ 1 1.90000+ 1 1.35790- 2 5.24820- 4 1.80000+ 1 2.10000+ 1 7.36528- 2 6.25860- 4 1.80000+ 1 2.20000+ 1 6.40330- 3 6.29920- 4 1.80000+ 1 2.40000+ 1 3.61356- 3 7.46220- 4 1.80000+ 1 2.50000+ 1 2.09810- 3 7.46690- 4 1.80000+ 1 2.70000+ 1 3.93793- 4 7.09740- 4 1.80000+ 1 2.90000+ 1 4.13650- 4 7.26420- 4 1.80000+ 1 3.00000+ 1 1.32686- 3 7.29660- 4 1.80000+ 1 4.10000+ 1 3.30922- 5 7.49580- 4 1.90000+ 1 1.90000+ 1 5.06283- 3 5.47860- 4 1.90000+ 1 2.10000+ 1 1.60780- 1 6.48900- 4 1.90000+ 1 2.20000+ 1 6.02251- 3 6.52960- 4 1.90000+ 1 2.40000+ 1 2.64390- 3 7.69260- 4 1.90000+ 1 2.50000+ 1 1.19116- 3 7.69730- 4 1.90000+ 1 2.70000+ 1 3.20969- 4 7.32780- 4 1.90000+ 1 2.90000+ 1 1.29375- 3 7.49460- 4 1.90000+ 1 3.00000+ 1 9.59623- 4 7.52700- 4 1.90000+ 1 4.10000+ 1 2.64734- 5 7.72620- 4 2.10000+ 1 2.10000+ 1 1.33228- 1 7.49940- 4 2.10000+ 1 2.20000+ 1 2.72743- 1 7.54000- 4 2.10000+ 1 2.40000+ 1 1.99255- 2 8.70300- 4 2.10000+ 1 2.50000+ 1 2.64084- 2 8.70770- 4 2.10000+ 1 2.70000+ 1 1.33755- 2 8.33820- 4 2.10000+ 1 2.90000+ 1 9.99270- 3 8.50500- 4 2.10000+ 1 3.00000+ 1 2.06188- 2 8.53740- 4 2.10000+ 1 4.10000+ 1 1.15082- 3 8.73660- 4 2.20000+ 1 2.20000+ 1 4.44752- 3 7.58060- 4 2.20000+ 1 2.40000+ 1 1.87060- 2 8.74360- 4 2.20000+ 1 2.50000+ 1 1.17143- 3 8.74830- 4 2.20000+ 1 2.70000+ 1 9.69576- 4 8.37880- 4 2.20000+ 1 2.90000+ 1 5.75800- 4 8.54560- 4 2.20000+ 1 3.00000+ 1 6.25426- 4 8.57800- 4 2.20000+ 1 4.10000+ 1 7.94196- 5 8.77720- 4 2.40000+ 1 2.40000+ 1 1.65119- 3 9.90660- 4 2.40000+ 1 2.50000+ 1 9.73221- 3 9.91130- 4 2.40000+ 1 2.70000+ 1 8.23975- 4 9.54180- 4 2.40000+ 1 2.90000+ 1 3.80541- 4 9.70860- 4 2.40000+ 1 3.00000+ 1 3.17670- 4 9.74100- 4 2.40000+ 1 4.10000+ 1 6.94906- 5 9.94020- 4 2.50000+ 1 2.50000+ 1 1.35667- 4 9.91600- 4 2.50000+ 1 2.70000+ 1 2.01865- 4 9.54650- 4 2.50000+ 1 2.90000+ 1 1.35667- 4 9.71330- 4 2.50000+ 1 3.00000+ 1 1.32361- 4 9.74570- 4 2.50000+ 1 4.10000+ 1 1.65449- 5 9.94490- 4 2.70000+ 1 2.70000+ 1 7.01003- 6 9.17700- 4 2.70000+ 1 2.90000+ 1 9.81400- 5 9.34380- 4 2.70000+ 1 3.00000+ 1 6.30910- 5 9.37620- 4 2.90000+ 1 2.90000+ 1 4.73670- 5 9.51060- 4 2.90000+ 1 3.00000+ 1 2.77438- 4 9.54300- 4 2.90000+ 1 4.10000+ 1 6.76706- 6 9.74220- 4 3.00000+ 1 3.00000+ 1 2.56071- 4 9.57540- 4 3.00000+ 1 4.10000+ 1 1.82908- 5 9.77460- 4 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.90050- 3 7.54600- 4 2.40000+ 1 3.05600- 5 9.76000- 4 2.50000+ 1 5.95471- 4 9.76470- 4 3.00000+ 1 6.82311- 4 9.59440- 4 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 3.47259- 6 3.57160- 4 1.60000+ 1 1.80000+ 1 1.23970- 3 4.17980- 4 1.60000+ 1 1.90000+ 1 6.28540- 3 4.41020- 4 1.60000+ 1 2.10000+ 1 9.18855- 3 5.42060- 4 1.60000+ 1 2.20000+ 1 9.87884- 2 5.46120- 4 1.60000+ 1 2.40000+ 1 1.88909- 3 6.62420- 4 1.60000+ 1 2.50000+ 1 6.09447- 3 6.62890- 4 1.60000+ 1 2.70000+ 1 2.43073- 5 6.25940- 4 1.60000+ 1 2.90000+ 1 6.94519- 5 6.42620- 4 1.60000+ 1 3.00000+ 1 5.93812- 4 6.45860- 4 1.60000+ 1 4.10000+ 1 3.47259- 6 6.65780- 4 1.80000+ 1 1.80000+ 1 1.04169- 5 4.78800- 4 1.80000+ 1 1.90000+ 1 1.44040- 2 5.01840- 4 1.80000+ 1 2.10000+ 1 9.30588- 4 6.02880- 4 1.80000+ 1 2.20000+ 1 9.65334- 2 6.06940- 4 1.80000+ 1 2.40000+ 1 8.29889- 4 7.23240- 4 1.80000+ 1 2.50000+ 1 2.96534- 3 7.23710- 4 1.80000+ 1 2.70000+ 1 1.21537- 4 6.86760- 4 1.80000+ 1 2.90000+ 1 6.94464- 6 7.03440- 4 1.80000+ 1 3.00000+ 1 1.35764- 3 7.06680- 4 1.80000+ 1 4.10000+ 1 1.04169- 5 7.26600- 4 1.90000+ 1 1.90000+ 1 1.11474- 2 5.24880- 4 1.90000+ 1 2.10000+ 1 8.99399- 3 6.25920- 4 1.90000+ 1 2.20000+ 1 1.57380- 1 6.29980- 4 1.90000+ 1 2.40000+ 1 1.55217- 3 7.46280- 4 1.90000+ 1 2.50000+ 1 3.71913- 3 7.46750- 4 1.90000+ 1 2.70000+ 1 7.11868- 4 7.09800- 4 1.90000+ 1 2.90000+ 1 1.31615- 3 7.26480- 4 1.90000+ 1 3.00000+ 1 2.17035- 3 7.29720- 4 1.90000+ 1 4.10000+ 1 5.90333- 5 7.49640- 4 2.10000+ 1 2.10000+ 1 1.93071- 3 7.26960- 4 2.10000+ 1 2.20000+ 1 1.99033- 1 7.31020- 4 2.10000+ 1 2.40000+ 1 9.37569- 4 8.47320- 4 2.10000+ 1 2.50000+ 1 1.21502- 2 8.47790- 4 2.10000+ 1 2.70000+ 1 7.63951- 4 8.10840- 4 2.10000+ 1 2.90000+ 1 1.25012- 4 8.27520- 4 2.10000+ 1 3.00000+ 1 8.36876- 4 8.30760- 4 2.10000+ 1 4.10000+ 1 6.25040- 5 8.50680- 4 2.20000+ 1 2.20000+ 1 2.29136- 1 7.35080- 4 2.20000+ 1 2.40000+ 1 2.33354- 2 8.51380- 4 2.20000+ 1 2.50000+ 1 3.40797- 2 8.51850- 4 2.20000+ 1 2.70000+ 1 1.44046- 2 8.14900- 4 2.20000+ 1 2.90000+ 1 1.24803- 2 8.31580- 4 2.20000+ 1 3.00000+ 1 2.01018- 2 8.34820- 4 2.20000+ 1 4.10000+ 1 1.23267- 3 8.54740- 4 2.40000+ 1 2.40000+ 1 1.31952- 4 9.67680- 4 2.40000+ 1 2.50000+ 1 8.60144- 3 9.68150- 4 2.40000+ 1 2.70000+ 1 2.15298- 4 9.31200- 4 2.40000+ 1 2.90000+ 1 9.72305- 5 9.47880- 4 2.40000+ 1 3.00000+ 1 1.35423- 4 9.51120- 4 2.40000+ 1 4.10000+ 1 1.73620- 5 9.71040- 4 2.50000+ 1 2.50000+ 1 3.76072- 3 9.68620- 4 2.50000+ 1 2.70000+ 1 8.85505- 4 9.31670- 4 2.50000+ 1 2.90000+ 1 3.75045- 4 9.48350- 4 2.50000+ 1 3.00000+ 1 3.99333- 4 9.51590- 4 2.50000+ 1 4.10000+ 1 7.63969- 5 9.71510- 4 2.70000+ 1 2.90000+ 1 2.62133- 5 9.11400- 4 2.70000+ 1 3.00000+ 1 2.75237- 4 9.14640- 4 2.90000+ 1 3.00000+ 1 3.75110- 4 9.31320- 4 3.00000+ 1 3.00000+ 1 3.84057- 4 9.34560- 4 3.00000+ 1 4.10000+ 1 2.40029- 5 9.54480- 4 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.28305- 5 6.08200- 5 1.90000+ 1 6.69160- 5 8.38600- 5 2.90000+ 1 2.69566- 5 2.85460- 4 3.00000+ 1 2.35562- 5 2.88700- 4 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 2.11294- 2 5.25000- 5 1.80000+ 1 2.50000+ 1 3.24395- 2 5.29700- 5 1.80000+ 1 2.70000+ 1 5.54458- 2 1.60200- 5 1.80000+ 1 2.90000+ 1 4.31589- 2 3.27000- 5 1.80000+ 1 3.00000+ 1 9.15604- 2 3.59400- 5 1.80000+ 1 4.10000+ 1 4.61056- 3 5.58600- 5 1.90000+ 1 2.40000+ 1 7.08915- 2 7.55400- 5 1.90000+ 1 2.50000+ 1 8.42822- 2 7.60100- 5 1.90000+ 1 2.70000+ 1 7.23777- 2 3.90600- 5 1.90000+ 1 2.90000+ 1 7.31232- 2 5.57400- 5 1.90000+ 1 3.00000+ 1 9.92273- 2 5.89800- 5 1.90000+ 1 4.10000+ 1 6.11536- 3 7.89000- 5 2.10000+ 1 2.10000+ 1 4.91802- 3 5.62200- 5 2.10000+ 1 2.20000+ 1 3.16382- 2 6.02800- 5 2.10000+ 1 2.40000+ 1 2.42407- 3 1.76580- 4 2.10000+ 1 2.50000+ 1 6.02728- 3 1.77050- 4 2.10000+ 1 2.70000+ 1 2.30893- 2 1.40100- 4 2.10000+ 1 2.90000+ 1 4.49761- 3 1.56780- 4 2.10000+ 1 3.00000+ 1 1.48603- 2 1.60020- 4 2.10000+ 1 4.10000+ 1 1.62474- 3 1.79940- 4 2.20000+ 1 2.20000+ 1 1.48880- 2 6.43400- 5 2.20000+ 1 2.40000+ 1 6.87086- 3 1.80640- 4 2.20000+ 1 2.50000+ 1 5.93494- 3 1.81110- 4 2.20000+ 1 2.70000+ 1 3.35956- 2 1.44160- 4 2.20000+ 1 2.90000+ 1 1.35165- 2 1.60840- 4 2.20000+ 1 3.00000+ 1 1.40005- 2 1.64080- 4 2.20000+ 1 4.10000+ 1 2.36018- 3 1.84000- 4 2.40000+ 1 2.40000+ 1 2.59075- 4 2.96940- 4 2.40000+ 1 2.50000+ 1 1.32043- 3 2.97410- 4 2.40000+ 1 2.70000+ 1 5.13509- 3 2.60460- 4 2.40000+ 1 2.90000+ 1 6.49150- 4 2.77140- 4 2.40000+ 1 3.00000+ 1 1.56781- 3 2.80380- 4 2.40000+ 1 4.10000+ 1 3.28305- 4 3.00300- 4 2.50000+ 1 2.50000+ 1 5.66086- 4 2.97880- 4 2.50000+ 1 2.70000+ 1 6.65726- 3 2.60930- 4 2.50000+ 1 2.90000+ 1 4.96854- 4 2.77610- 4 2.50000+ 1 3.00000+ 1 1.98348- 3 2.80850- 4 2.50000+ 1 4.10000+ 1 4.25499- 4 3.00770- 4 2.70000+ 1 2.70000+ 1 1.60730- 2 2.23980- 4 2.70000+ 1 2.90000+ 1 1.95802- 2 2.40660- 4 2.70000+ 1 3.00000+ 1 3.44050- 2 2.43900- 4 2.70000+ 1 4.10000+ 1 2.43511- 3 2.63820- 4 2.90000+ 1 2.90000+ 1 6.35950- 3 2.57340- 4 2.90000+ 1 3.00000+ 1 2.74330- 2 2.60580- 4 2.90000+ 1 4.10000+ 1 5.25523- 3 2.80500- 4 3.00000+ 1 3.00000+ 1 2.43103- 2 2.63820- 4 3.00000+ 1 4.10000+ 1 1.00214- 2 2.83740- 4 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.09939- 4 1.24080- 4 2.70000+ 1 4.25509- 5 2.07960- 4 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 2.42628- 2 1.47200- 5 1.90000+ 1 2.50000+ 1 1.83284- 2 1.51900- 5 1.90000+ 1 3.00000+ 1 9.92586- 3 0.00000+ 0 1.90000+ 1 4.10000+ 1 1.26467- 3 1.80800- 5 2.10000+ 1 2.10000+ 1 4.17349- 2 0.00000+ 0 2.10000+ 1 2.20000+ 1 4.84890- 1 0.00000+ 0 2.10000+ 1 2.40000+ 1 5.69232- 2 1.15760- 4 2.10000+ 1 2.50000+ 1 1.17475- 1 1.16230- 4 2.10000+ 1 2.70000+ 1 4.14013- 2 7.92800- 5 2.10000+ 1 2.90000+ 1 2.92193- 2 9.59600- 5 2.10000+ 1 3.00000+ 1 5.61028- 2 9.92000- 5 2.10000+ 1 4.10000+ 1 3.55082- 3 1.19120- 4 2.20000+ 1 2.20000+ 1 2.26635- 2 3.52000- 6 2.20000+ 1 2.40000+ 1 1.41004- 2 1.19820- 4 2.20000+ 1 2.50000+ 1 3.78191- 3 1.20290- 4 2.20000+ 1 2.70000+ 1 6.63308- 3 8.33400- 5 2.20000+ 1 2.90000+ 1 2.87646- 2 1.00020- 4 2.20000+ 1 3.00000+ 1 6.57795- 3 1.03260- 4 2.20000+ 1 4.10000+ 1 4.96216- 4 1.23180- 4 2.40000+ 1 2.40000+ 1 1.51072- 4 2.36120- 4 2.40000+ 1 2.50000+ 1 2.03180- 3 2.36590- 4 2.40000+ 1 2.70000+ 1 1.19302- 3 1.99640- 4 2.40000+ 1 2.90000+ 1 3.98838- 3 2.16320- 4 2.40000+ 1 3.00000+ 1 1.63591- 3 2.19560- 4 2.40000+ 1 4.10000+ 1 9.87958- 5 2.39480- 4 2.50000+ 1 2.50000+ 1 5.45098- 5 2.37060- 4 2.50000+ 1 2.70000+ 1 5.87591- 4 2.00110- 4 2.50000+ 1 2.90000+ 1 6.54724- 3 2.16790- 4 2.50000+ 1 3.00000+ 1 5.55337- 4 2.20030- 4 2.50000+ 1 4.10000+ 1 4.04927- 5 2.39950- 4 2.70000+ 1 2.70000+ 1 1.13755- 4 1.63160- 4 2.70000+ 1 2.90000+ 1 2.10239- 3 1.79840- 4 2.70000+ 1 3.00000+ 1 3.21250- 4 1.83080- 4 2.70000+ 1 4.10000+ 1 1.62920- 5 2.03000- 4 2.90000+ 1 2.90000+ 1 2.92179- 3 1.96520- 4 2.90000+ 1 3.00000+ 1 8.45129- 3 1.99760- 4 2.90000+ 1 4.10000+ 1 4.54883- 4 2.19680- 4 3.00000+ 1 3.00000+ 1 3.27475- 4 2.03000- 4 3.00000+ 1 4.10000+ 1 5.74839- 5 2.22920- 4 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 5.42716- 6 1.01040- 4 2.20000+ 1 5.82576- 5 1.05100- 4 2.70000+ 1 1.83679- 5 1.84920- 4 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.42184- 2 9.27200- 5 2.10000+ 1 2.50000+ 1 4.28276- 2 9.31900- 5 2.10000+ 1 2.70000+ 1 2.18307- 2 5.62400- 5 2.10000+ 1 2.90000+ 1 1.63383- 2 7.29200- 5 2.10000+ 1 3.00000+ 1 6.55308- 2 7.61600- 5 2.10000+ 1 4.10000+ 1 1.84300- 3 9.60800- 5 2.20000+ 1 2.40000+ 1 1.86939- 1 9.67800- 5 2.20000+ 1 2.50000+ 1 1.89360- 1 9.72500- 5 2.20000+ 1 2.70000+ 1 1.13912- 1 6.03000- 5 2.20000+ 1 2.90000+ 1 1.10070- 1 7.69800- 5 2.20000+ 1 3.00000+ 1 1.71952- 1 8.02200- 5 2.20000+ 1 4.10000+ 1 1.00810- 2 1.00140- 4 2.40000+ 1 2.40000+ 1 7.43381- 5 2.13080- 4 2.40000+ 1 2.50000+ 1 4.06146- 3 2.13550- 4 2.40000+ 1 2.70000+ 1 2.19743- 3 1.76600- 4 2.40000+ 1 2.90000+ 1 9.49772- 4 1.93280- 4 2.40000+ 1 3.00000+ 1 1.38468- 2 1.96520- 4 2.40000+ 1 4.10000+ 1 1.42018- 4 2.16440- 4 2.50000+ 1 2.50000+ 1 1.06178- 3 2.14020- 4 2.50000+ 1 2.70000+ 1 4.70694- 3 1.77070- 4 2.50000+ 1 2.90000+ 1 3.96506- 3 1.93750- 4 2.50000+ 1 3.00000+ 1 1.68304- 2 1.96990- 4 2.50000+ 1 4.10000+ 1 3.40633- 4 2.16910- 4 2.70000+ 1 2.70000+ 1 1.63478- 5 1.40120- 4 2.70000+ 1 2.90000+ 1 1.36241- 4 1.56800- 4 2.70000+ 1 3.00000+ 1 2.62501- 3 1.60040- 4 2.70000+ 1 4.10000+ 1 2.88502- 6 1.79960- 4 2.90000+ 1 2.90000+ 1 1.30388- 5 1.73480- 4 2.90000+ 1 3.00000+ 1 1.21398- 3 1.76720- 4 2.90000+ 1 4.10000+ 1 4.77029- 6 1.96640- 4 3.00000+ 1 3.00000+ 1 2.64729- 3 1.79960- 4 3.00000+ 1 4.10000+ 1 1.78892- 4 1.99880- 4 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 8.75365- 7 1.20360- 4 2.90000+ 1 5.36760- 6 1.00560- 4 3.00000+ 1 8.89581- 7 1.03800- 4 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 2.40000+ 1 4.82375- 2 0.00000+ 0 2.20000+ 1 2.50000+ 1 5.39700- 3 0.00000+ 0 2.40000+ 1 2.40000+ 1 2.69179- 2 1.12040- 4 2.40000+ 1 2.50000+ 1 1.63959- 1 1.12510- 4 2.40000+ 1 2.70000+ 1 5.52482- 2 7.55600- 5 2.40000+ 1 2.90000+ 1 4.84888- 2 9.22400- 5 2.40000+ 1 3.00000+ 1 7.90302- 2 9.54800- 5 2.40000+ 1 4.10000+ 1 4.89897- 3 1.15400- 4 2.50000+ 1 2.50000+ 1 5.72710- 4 1.12980- 4 2.50000+ 1 2.70000+ 1 2.74905- 3 7.60300- 5 2.50000+ 1 2.90000+ 1 8.74345- 3 9.27100- 5 2.50000+ 1 3.00000+ 1 2.82858- 3 9.59500- 5 2.50000+ 1 4.10000+ 1 2.01336- 4 1.15870- 4 2.70000+ 1 2.70000+ 1 3.54020- 2 3.90800- 5 2.70000+ 1 2.90000+ 1 2.57353- 2 5.57600- 5 2.70000+ 1 3.00000+ 1 3.20120- 2 5.90000- 5 2.70000+ 1 4.10000+ 1 3.29656- 3 7.89200- 5 2.90000+ 1 2.90000+ 1 8.24508- 2 7.24400- 5 2.90000+ 1 3.00000+ 1 2.55865- 1 7.56800- 5 2.90000+ 1 4.10000+ 1 1.01073- 2 9.56000- 5 3.00000+ 1 3.00000+ 1 9.99062- 2 7.89200- 5 3.00000+ 1 4.10000+ 1 7.94477- 3 9.88400- 5 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.62153- 8 1.16300- 4 2.50000+ 1 9.34015- 7 1.16770- 4 3.00000+ 1 6.60454- 6 9.97400- 5 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 3.78666- 3 1.07980- 4 2.40000+ 1 2.50000+ 1 2.80830- 1 1.08450- 4 2.40000+ 1 2.70000+ 1 1.66819- 2 7.15000- 5 2.40000+ 1 2.90000+ 1 9.55562- 3 8.81800- 5 2.40000+ 1 3.00000+ 1 4.01949- 2 9.14200- 5 2.40000+ 1 4.10000+ 1 1.33283- 3 1.11340- 4 2.50000+ 1 2.50000+ 1 1.27935- 1 1.08920- 4 2.50000+ 1 2.70000+ 1 1.22083- 1 7.19700- 5 2.50000+ 1 2.90000+ 1 1.20623- 1 8.86500- 5 2.50000+ 1 3.00000+ 1 1.75223- 1 9.18900- 5 2.50000+ 1 4.10000+ 1 1.09191- 2 1.11810- 4 2.70000+ 1 2.70000+ 1 2.07587- 2 3.50200- 5 2.70000+ 1 2.90000+ 1 8.67403- 3 5.17000- 5 2.70000+ 1 3.00000+ 1 2.34273- 2 5.49400- 5 2.70000+ 1 4.10000+ 1 1.91724- 3 7.48600- 5 2.90000+ 1 2.90000+ 1 1.95836- 3 6.83800- 5 2.90000+ 1 3.00000+ 1 1.92685- 2 7.16200- 5 2.90000+ 1 4.10000+ 1 4.03282- 4 9.15400- 5 3.00000+ 1 3.00000+ 1 1.32580- 2 7.48600- 5 3.00000+ 1 4.10000+ 1 1.16207- 3 9.47800- 5 1 60000 0 7 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 5.26785- 9 1.66800- 5 3.00000+ 1 1.81832- 8 1.99200- 5 1 60000 0 9 1.44240+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 3.97163- 1 1.17200- 5 3.00000+ 1 4.10000+ 1 5.94845- 1 1.49600- 5 4.10000+ 1 4.10000+ 1 7.99137- 3 3.48800- 5 1 61000 0 0 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 2.14000+ 0 2.50000+ 1 2.86000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 1 61000 0 0 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.52190- 2 3.00000+ 0 7.39410- 3 5.00000+ 0 7.01920- 3 6.00000+ 0 6.45190- 3 8.00000+ 0 1.62510- 3 1.00000+ 1 1.46160- 3 1.10000+ 1 1.34690- 3 1.30000+ 1 1.05960- 3 1.40000+ 1 1.03460- 3 1.60000+ 1 3.28070- 4 1.80000+ 1 2.65010- 4 1.90000+ 1 2.39870- 4 2.10000+ 1 1.35050- 4 2.20000+ 1 1.30590- 4 2.40000+ 1 8.88000- 6 2.50000+ 1 8.35000- 6 2.70000+ 1 4.62700- 5 2.90000+ 1 2.89600- 5 3.00000+ 1 2.54600- 5 4.10000+ 1 5.03000- 6 1 61000 0 0 1.45000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.86420- 2 3.00000+ 0 1.31800- 2 5.00000+ 0 1.31880- 2 6.00000+ 0 1.11030- 2 8.00000+ 0 4.01580- 3 1.00000+ 1 3.93550- 3 1.10000+ 1 3.45090- 3 1.30000+ 1 3.31860- 3 1.40000+ 1 3.20380- 3 1.60000+ 1 1.23630- 3 1.80000+ 1 1.15310- 3 1.90000+ 1 1.01880- 3 2.10000+ 1 8.54520- 4 2.20000+ 1 8.25190- 4 2.40000+ 1 4.65590- 4 2.50000+ 1 4.56560- 4 2.70000+ 1 2.63270- 4 2.90000+ 1 2.08110- 4 3.00000+ 1 1.80130- 4 4.10000+ 1 2.75300- 5 1 61000 0 0 1.45000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.22490-10 3.00000+ 0 5.19380-10 5.00000+ 0 4.34430-10 6.00000+ 0 4.68800-10 8.00000+ 0 1.36850- 9 1.00000+ 1 1.31220- 9 1.10000+ 1 1.37820- 9 1.30000+ 1 1.22570- 9 1.40000+ 1 1.24610- 9 1.60000+ 1 3.11240- 9 1.80000+ 1 3.18540- 9 1.90000+ 1 3.33450- 9 2.10000+ 1 3.55500- 9 2.20000+ 1 3.60670- 9 2.40000+ 1 4.98150- 9 2.50000+ 1 5.04320- 9 2.70000+ 1 7.48380- 9 2.90000+ 1 8.39120- 9 3.00000+ 1 8.85850- 9 4.10000+ 1 2.30880- 8 1 61000 0 0 1.45000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.66360- 5 3.00000+ 0 3.07690- 7 5.00000+ 0 5.22660- 7 6.00000+ 0 4.83240- 7 8.00000+ 0 9.17640- 9 1.00000+ 1 9.24870- 9 1.10000+ 1 9.43420- 9 1.30000+ 1 3.45990- 9 1.40000+ 1 3.23420- 9 1.60000+ 1 2.35240-10 1.80000+ 1 4.71770-10 1.90000+ 1 3.39030-10 2.10000+ 1 1.65140-10 2.20000+ 1 1.51550-10 2.70000+ 1 1.17660-11 1 61000 0 0 1.45000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.37680- 6 3.00000+ 0 3.89650- 6 5.00000+ 0 2.93170- 6 6.00000+ 0 2.78030- 6 8.00000+ 0 1.45730- 5 1.00000+ 1 6.66550- 6 1.10000+ 1 6.96820- 6 1.30000+ 1 1.07090- 6 1.40000+ 1 8.14430- 7 1.60000+ 1 9.35440- 6 1.80000+ 1 1.21280- 5 1.90000+ 1 5.51990- 6 2.10000+ 1 1.38170- 6 2.20000+ 1 1.11320- 6 2.70000+ 1 5.37710- 7 1 61000 0 0 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.47770- 4 3.00000+ 0 1.78845- 4 5.00000+ 0 1.54502- 4 6.00000+ 0 1.42289- 4 8.00000+ 0 1.30690- 4 1.00000+ 1 1.13351- 4 1.10000+ 1 1.01372- 4 1.30000+ 1 7.62238- 5 1.40000+ 1 6.78114- 5 1.60000+ 1 6.66205- 5 1.80000+ 1 5.99982- 5 1.90000+ 1 4.69635- 5 2.10000+ 1 3.92297- 5 2.20000+ 1 2.80321- 5 2.40000+ 1 8.88000- 6 2.50000+ 1 8.35000- 6 2.70000+ 1 3.17258- 5 2.90000+ 1 2.89600- 5 3.00000+ 1 2.54600- 5 4.10000+ 1 5.03000- 6 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.06636+ 0 3.00000+ 0 1.60259- 1 5.00000+ 0 1.79298- 1 6.00000+ 0 1.50538- 1 8.00000+ 0 7.95045- 3 1.00000+ 1 8.30125- 3 1.10000+ 1 7.88820- 3 1.30000+ 1 6.42068- 3 1.40000+ 1 6.02152- 3 1.60000+ 1 2.62044- 4 1.80000+ 1 3.04789- 4 1.90000+ 1 1.02919- 4 2.10000+ 1 1.02218- 5 2.20000+ 1 1.02388- 5 2.70000+ 1 4.34466- 8 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.74371- 2 3.00000+ 0 8.94718- 4 5.00000+ 0 1.01914- 3 6.00000+ 0 7.78493- 4 8.00000+ 0 7.67129- 6 1.00000+ 1 7.78483- 6 1.10000+ 1 7.41076- 6 1.30000+ 1 5.47672- 6 1.40000+ 1 5.11903- 6 1.60000+ 1 4.03982- 8 1.80000+ 1 4.36628- 8 1.90000+ 1 1.30513- 8 2.10000+ 1 1.12279- 9 2.20000+ 1 1.10838- 9 2.70000+ 1 8.70479-13 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.96568+ 0 3.00000+ 0 1.10050+ 1 5.00000+ 0 9.25729+ 0 6.00000+ 0 8.69990+ 0 8.00000+ 0 7.77793+ 0 1.00000+ 1 6.45340+ 0 1.10000+ 1 5.95055+ 0 1.30000+ 1 3.88532+ 0 1.40000+ 1 3.78325+ 0 1.60000+ 1 3.17061+ 0 1.80000+ 1 2.87420+ 0 1.90000+ 1 2.24381+ 0 2.10000+ 1 1.23314+ 0 2.20000+ 1 1.17929+ 0 2.70000+ 1 1.00000+ 0 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.63411- 3 3.00000+ 0 6.32054- 3 5.00000+ 0 5.84555- 3 6.00000+ 0 5.53112- 3 8.00000+ 0 1.48674- 3 1.00000+ 1 1.34046- 3 1.10000+ 1 1.23812- 3 1.30000+ 1 9.77899- 4 1.40000+ 1 9.61670- 4 1.60000+ 1 2.61409- 4 1.80000+ 1 2.04968- 4 1.90000+ 1 1.92893- 4 2.10000+ 1 9.58192- 5 2.20000+ 1 1.02557- 4 2.70000+ 1 1.45442- 5 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.65280- 1 3.81998- 2 6.00000+ 0 4.81370- 1 3.87671- 2 1.00000+ 1 4.79180- 2 4.37574- 2 1.10000+ 1 9.27300- 2 4.38721- 2 1.30000+ 1 6.48420- 4 4.41594- 2 1.40000+ 1 8.64430- 4 4.41844- 2 1.80000+ 1 1.03430- 2 4.49540- 2 1.90000+ 1 2.00890- 2 4.49791- 2 2.10000+ 1 1.41080- 4 4.50839- 2 2.20000+ 1 1.87690- 4 4.50884- 2 2.90000+ 1 2.02790- 3 4.51900- 2 3.00000+ 1 4.06060- 3 4.51935- 2 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 6.41398- 3 3.04308- 2 3.00000+ 0 5.00000+ 0 8.05210- 3 3.08057- 2 3.00000+ 0 6.00000+ 0 8.18215- 3 3.13730- 2 3.00000+ 0 8.00000+ 0 2.39187- 3 3.61998- 2 3.00000+ 0 1.00000+ 1 1.61847- 3 3.63633- 2 3.00000+ 0 1.10000+ 1 1.68598- 3 3.64780- 2 3.00000+ 0 1.30000+ 1 1.19612- 4 3.67653- 2 3.00000+ 0 1.40000+ 1 1.19748- 4 3.67903- 2 3.00000+ 0 1.60000+ 1 5.51277- 4 3.74968- 2 3.00000+ 0 1.80000+ 1 3.57495- 4 3.75599- 2 3.00000+ 0 1.90000+ 1 3.70277- 4 3.75850- 2 3.00000+ 0 2.10000+ 1 2.55664- 5 3.76898- 2 3.00000+ 0 2.20000+ 1 2.54205- 5 3.76943- 2 3.00000+ 0 2.70000+ 1 9.21263- 5 3.77786- 2 3.00000+ 0 2.90000+ 1 4.86349- 5 3.77959- 2 3.00000+ 0 3.00000+ 1 4.84880- 5 3.77994- 2 3.00000+ 0 4.10000+ 1 7.78743- 6 3.78199- 2 5.00000+ 0 5.00000+ 0 8.25501- 4 3.11806- 2 5.00000+ 0 6.00000+ 0 1.67451- 2 3.17479- 2 5.00000+ 0 8.00000+ 0 1.25605- 3 3.65747- 2 5.00000+ 0 1.00000+ 1 2.94893- 4 3.67382- 2 5.00000+ 0 1.10000+ 1 2.87015- 3 3.68529- 2 5.00000+ 0 1.30000+ 1 1.36656- 4 3.71402- 2 5.00000+ 0 1.40000+ 1 4.36831- 4 3.71652- 2 5.00000+ 0 1.60000+ 1 2.78581- 4 3.78717- 2 5.00000+ 0 1.80000+ 1 6.36214- 5 3.79348- 2 5.00000+ 0 1.90000+ 1 6.07587- 4 3.79599- 2 5.00000+ 0 2.10000+ 1 2.86529- 5 3.80647- 2 5.00000+ 0 2.20000+ 1 9.12491- 5 3.80692- 2 5.00000+ 0 2.40000+ 1 2.93862- 7 3.81909- 2 5.00000+ 0 2.70000+ 1 4.61371- 5 3.81535- 2 5.00000+ 0 2.90000+ 1 8.66919- 6 3.81708- 2 5.00000+ 0 3.00000+ 1 7.90494- 5 3.81743- 2 5.00000+ 0 4.10000+ 1 3.96726- 6 3.81948- 2 6.00000+ 0 6.00000+ 0 8.06709- 3 3.23152- 2 6.00000+ 0 8.00000+ 0 1.22638- 3 3.71420- 2 6.00000+ 0 1.00000+ 1 2.76353- 3 3.73055- 2 6.00000+ 0 1.10000+ 1 2.84630- 3 3.74202- 2 6.00000+ 0 1.30000+ 1 5.11885- 4 3.77075- 2 6.00000+ 0 1.40000+ 1 4.60452- 4 3.77325- 2 6.00000+ 0 1.60000+ 1 2.69749- 4 3.84390- 2 6.00000+ 0 1.80000+ 1 5.87575- 4 3.85021- 2 6.00000+ 0 1.90000+ 1 6.06794- 4 3.85272- 2 6.00000+ 0 2.10000+ 1 1.07407- 4 3.86320- 2 6.00000+ 0 2.20000+ 1 9.63789- 5 3.86365- 2 6.00000+ 0 2.40000+ 1 5.87672- 7 3.87582- 2 6.00000+ 0 2.70000+ 1 4.46651- 5 3.87208- 2 6.00000+ 0 2.90000+ 1 7.93403- 5 3.87381- 2 6.00000+ 0 3.00000+ 1 7.90436- 5 3.87416- 2 6.00000+ 0 4.10000+ 1 3.82000- 6 3.87621- 2 8.00000+ 0 8.00000+ 0 2.19512- 4 4.19688- 2 8.00000+ 0 1.00000+ 1 2.54478- 4 4.21323- 2 8.00000+ 0 1.10000+ 1 2.55072- 4 4.22470- 2 8.00000+ 0 1.30000+ 1 1.73378- 5 4.25343- 2 8.00000+ 0 1.40000+ 1 1.66034- 5 4.25593- 2 8.00000+ 0 1.60000+ 1 1.00943- 4 4.32658- 2 8.00000+ 0 1.80000+ 1 5.62755- 5 4.33289- 2 8.00000+ 0 1.90000+ 1 5.61238- 5 4.33540- 2 8.00000+ 0 2.10000+ 1 3.67327- 6 4.34588- 2 8.00000+ 0 2.20000+ 1 3.52631- 6 4.34633- 2 8.00000+ 0 2.70000+ 1 1.68972- 5 4.35476- 2 8.00000+ 0 2.90000+ 1 7.64069- 6 4.35649- 2 8.00000+ 0 3.00000+ 1 7.34627- 6 4.35684- 2 8.00000+ 0 4.10000+ 1 1.46932- 6 4.35889- 2 1.00000+ 1 1.00000+ 1 2.54199- 5 4.22958- 2 1.00000+ 1 1.10000+ 1 4.82963- 4 4.24105- 2 1.00000+ 1 1.30000+ 1 1.80723- 5 4.26978- 2 1.00000+ 1 1.40000+ 1 5.59795- 5 4.27228- 2 1.00000+ 1 1.60000+ 1 5.65679- 5 4.34293- 2 1.00000+ 1 1.80000+ 1 1.08736- 5 4.34924- 2 1.00000+ 1 1.90000+ 1 1.02549- 4 4.35175- 2 1.00000+ 1 2.10000+ 1 3.82019- 6 4.36223- 2 1.00000+ 1 2.20000+ 1 1.17548- 5 4.36268- 2 1.00000+ 1 2.70000+ 1 9.40345- 6 4.37111- 2 1.00000+ 1 2.90000+ 1 1.46933- 6 4.37284- 2 1.00000+ 1 3.00000+ 1 1.33714- 5 4.37319- 2 1.00000+ 1 4.10000+ 1 7.34634- 7 4.37524- 2 1.10000+ 1 1.10000+ 1 2.52429- 4 4.25252- 2 1.10000+ 1 1.30000+ 1 7.17029- 5 4.28125- 2 1.10000+ 1 1.40000+ 1 6.27397- 5 4.28375- 2 1.10000+ 1 1.60000+ 1 5.61244- 5 4.35440- 2 1.10000+ 1 1.80000+ 1 1.02996- 4 4.36071- 2 1.10000+ 1 1.90000+ 1 1.07695- 4 4.36322- 2 1.10000+ 1 2.10000+ 1 1.51340- 5 4.37370- 2 1.10000+ 1 2.20000+ 1 1.32236- 5 4.37415- 2 1.10000+ 1 2.70000+ 1 9.25697- 6 4.38258- 2 1.10000+ 1 2.90000+ 1 1.39579- 5 4.38431- 2 1.10000+ 1 3.00000+ 1 1.41058- 5 4.38466- 2 1.10000+ 1 4.10000+ 1 7.34634- 7 4.38671- 2 1.30000+ 1 1.30000+ 1 1.45736- 7 4.30998- 2 1.30000+ 1 1.40000+ 1 8.59836- 6 4.31248- 2 1.30000+ 1 1.60000+ 1 3.78907- 6 4.38313- 2 1.30000+ 1 1.80000+ 1 3.64338- 6 4.38944- 2 1.30000+ 1 1.90000+ 1 1.44279- 5 4.39195- 2 1.30000+ 1 2.20000+ 1 1.74881- 6 4.40288- 2 1.30000+ 1 2.70000+ 1 5.82913- 7 4.41131- 2 1.30000+ 1 2.90000+ 1 4.37197- 7 4.41304- 2 1.30000+ 1 3.00000+ 1 1.89458- 6 4.41339- 2 1.40000+ 1 1.40000+ 1 2.05704- 6 4.31498- 2 1.40000+ 1 1.60000+ 1 3.67334- 6 4.38563- 2 1.40000+ 1 1.80000+ 1 1.13133- 5 4.39194- 2 1.40000+ 1 1.90000+ 1 1.26362- 5 4.39445- 2 1.40000+ 1 2.10000+ 1 1.76319- 6 4.40493- 2 1.40000+ 1 2.20000+ 1 8.81546- 7 4.40538- 2 1.40000+ 1 2.70000+ 1 5.87707- 7 4.41381- 2 1.40000+ 1 2.90000+ 1 1.46935- 6 4.41554- 2 1.40000+ 1 3.00000+ 1 1.61631- 6 4.41589- 2 1.60000+ 1 1.60000+ 1 1.14537- 5 4.45629- 2 1.60000+ 1 1.80000+ 1 1.23233- 5 4.46259- 2 1.60000+ 1 1.90000+ 1 1.21783- 5 4.46511- 2 1.60000+ 1 2.10000+ 1 8.69828- 7 4.47559- 2 1.60000+ 1 2.20000+ 1 7.24876- 7 4.47603- 2 1.60000+ 1 2.70000+ 1 3.76944- 6 4.48447- 2 1.60000+ 1 2.90000+ 1 1.73975- 6 4.48620- 2 1.60000+ 1 3.00000+ 1 1.59483- 6 4.48655- 2 1.60000+ 1 4.10000+ 1 2.89951- 7 4.48859- 2 1.80000+ 1 1.80000+ 1 1.14032- 6 4.46890- 2 1.80000+ 1 1.90000+ 1 2.12382- 5 4.47141- 2 1.80000+ 1 2.10000+ 1 7.12661- 7 4.48189- 2 1.80000+ 1 2.20000+ 1 2.28055- 6 4.48234- 2 1.80000+ 1 2.70000+ 1 1.99549- 6 4.49077- 2 1.80000+ 1 2.90000+ 1 2.85066- 7 4.49250- 2 1.80000+ 1 3.00000+ 1 2.70818- 6 4.49285- 2 1.80000+ 1 4.10000+ 1 1.42539- 7 4.49490- 2 1.90000+ 1 1.90000+ 1 1.13946- 5 4.47393- 2 1.90000+ 1 2.10000+ 1 3.06788- 6 4.48441- 2 1.90000+ 1 2.20000+ 1 2.62968- 6 4.48485- 2 1.90000+ 1 2.70000+ 1 2.04526- 6 4.49329- 2 1.90000+ 1 2.90000+ 1 2.92175- 6 4.49502- 2 1.90000+ 1 3.00000+ 1 2.92175- 6 4.49537- 2 1.90000+ 1 4.10000+ 1 1.46094- 7 4.49741- 2 2.10000+ 1 2.20000+ 1 3.21594- 7 4.49534- 2 2.10000+ 1 2.70000+ 1 1.60804- 7 4.50377- 2 2.10000+ 1 2.90000+ 1 1.60804- 7 4.50550- 2 2.10000+ 1 3.00000+ 1 4.82398- 7 4.50585- 2 2.20000+ 1 2.20000+ 1 1.46934- 7 4.49578- 2 2.20000+ 1 2.70000+ 1 1.46934- 7 4.50421- 2 2.20000+ 1 2.90000+ 1 2.93856- 7 4.50594- 2 2.20000+ 1 3.00000+ 1 2.93856- 7 4.50629- 2 2.70000+ 1 2.70000+ 1 3.27053- 7 4.51265- 2 2.70000+ 1 2.90000+ 1 3.27053- 7 4.51438- 2 2.70000+ 1 3.00000+ 1 3.27053- 7 4.51473- 2 2.90000+ 1 3.00000+ 1 4.48450- 7 4.51646- 2 3.00000+ 1 3.00000+ 1 1.46930- 7 4.51681- 2 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.95252- 5 3.74900- 4 6.00000+ 0 6.91825- 4 9.42200- 4 1.00000+ 1 2.06102- 2 5.93250- 3 1.10000+ 1 3.04012- 2 6.04720- 3 1.30000+ 1 3.97503- 4 6.33450- 3 1.40000+ 1 5.94335- 4 6.35950- 3 1.80000+ 1 4.80574- 3 7.12909- 3 1.90000+ 1 7.35056- 3 7.15423- 3 2.10000+ 1 5.33524- 5 7.25905- 3 2.20000+ 1 8.19256- 5 7.26351- 3 2.90000+ 1 6.86825- 4 7.36514- 3 3.00000+ 1 1.02631- 3 7.36864- 3 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.23265- 2 4.68300- 5 5.00000+ 0 1.80000+ 1 3.91162- 2 1.09890- 4 5.00000+ 0 1.90000+ 1 4.66573- 2 1.35030- 4 5.00000+ 0 2.10000+ 1 1.24500- 2 2.39850- 4 5.00000+ 0 2.20000+ 1 1.96446- 2 2.44310- 4 5.00000+ 0 2.40000+ 1 2.19657- 2 3.66020- 4 5.00000+ 0 2.70000+ 1 8.41977- 3 3.28630- 4 5.00000+ 0 2.90000+ 1 4.99430- 3 3.45940- 4 5.00000+ 0 3.00000+ 1 5.78618- 3 3.49440- 4 5.00000+ 0 4.10000+ 1 7.11042- 4 3.69870- 4 6.00000+ 0 1.60000+ 1 6.20082- 2 6.14130- 4 6.00000+ 0 1.80000+ 1 2.65678- 2 6.77190- 4 6.00000+ 0 1.90000+ 1 4.75219- 2 7.02330- 4 6.00000+ 0 2.10000+ 1 6.48700- 2 8.07150- 4 6.00000+ 0 2.20000+ 1 8.17508- 2 8.11610- 4 6.00000+ 0 2.40000+ 1 3.07226- 2 9.33320- 4 6.00000+ 0 2.70000+ 1 9.94402- 3 8.95930- 4 6.00000+ 0 2.90000+ 1 3.48613- 3 9.13240- 4 6.00000+ 0 3.00000+ 1 6.09106- 3 9.16740- 4 6.00000+ 0 4.10000+ 1 8.40105- 4 9.37170- 4 8.00000+ 0 8.00000+ 0 1.21505- 2 4.14390- 3 8.00000+ 0 1.00000+ 1 2.43223- 2 4.30740- 3 8.00000+ 0 1.10000+ 1 4.37529- 2 4.42210- 3 8.00000+ 0 1.30000+ 1 3.43642- 2 4.70940- 3 8.00000+ 0 1.40000+ 1 4.76759- 2 4.73440- 3 8.00000+ 0 1.60000+ 1 4.75822- 3 5.44093- 3 8.00000+ 0 1.80000+ 1 5.25856- 3 5.50399- 3 8.00000+ 0 1.90000+ 1 9.36681- 3 5.52913- 3 8.00000+ 0 2.10000+ 1 6.19188- 3 5.63395- 3 8.00000+ 0 2.20000+ 1 8.53620- 3 5.63841- 3 8.00000+ 0 2.40000+ 1 1.90299- 4 5.76012- 3 8.00000+ 0 2.70000+ 1 7.74889- 4 5.72273- 3 8.00000+ 0 2.90000+ 1 7.11664- 4 5.74004- 3 8.00000+ 0 3.00000+ 1 1.22129- 3 5.74354- 3 8.00000+ 0 4.10000+ 1 6.58226- 5 5.76397- 3 1.00000+ 1 1.00000+ 1 1.08842- 4 4.47090- 3 1.00000+ 1 1.10000+ 1 7.78823- 4 4.58560- 3 1.00000+ 1 1.30000+ 1 1.15297- 3 4.87290- 3 1.00000+ 1 1.40000+ 1 1.32505- 2 4.89790- 3 1.00000+ 1 1.60000+ 1 3.78909- 3 5.60443- 3 1.00000+ 1 1.80000+ 1 2.15066- 5 5.66749- 3 1.00000+ 1 1.90000+ 1 1.56411- 4 5.69263- 3 1.00000+ 1 2.10000+ 1 2.05299- 4 5.79745- 3 1.00000+ 1 2.20000+ 1 1.54860- 3 5.80191- 3 1.00000+ 1 2.40000+ 1 6.51735- 5 5.92362- 3 1.00000+ 1 2.70000+ 1 5.86565- 4 5.88623- 3 1.00000+ 1 2.90000+ 1 2.60691- 6 5.90354- 3 1.00000+ 1 3.00000+ 1 2.02036- 5 5.90704- 3 1.00000+ 1 4.10000+ 1 4.95314- 5 5.92747- 3 1.10000+ 1 1.10000+ 1 1.03745- 3 4.70030- 3 1.10000+ 1 1.30000+ 1 7.78161- 3 4.98760- 3 1.10000+ 1 1.40000+ 1 5.15563- 3 5.01260- 3 1.10000+ 1 1.60000+ 1 6.80207- 3 5.71913- 3 1.10000+ 1 1.80000+ 1 1.58371- 4 5.78219- 3 1.10000+ 1 1.90000+ 1 3.31726- 4 5.80733- 3 1.10000+ 1 2.10000+ 1 7.36444- 4 5.91215- 3 1.10000+ 1 2.20000+ 1 5.02473- 4 5.91661- 3 1.10000+ 1 2.40000+ 1 1.89656- 4 6.03832- 3 1.10000+ 1 2.70000+ 1 1.05255- 3 6.00093- 3 1.10000+ 1 2.90000+ 1 2.15061- 5 6.01824- 3 1.10000+ 1 3.00000+ 1 4.10588- 5 6.02174- 3 1.10000+ 1 4.10000+ 1 8.86347- 5 6.04217- 3 1.30000+ 1 1.30000+ 1 1.96888- 3 5.27490- 3 1.30000+ 1 1.40000+ 1 6.77858- 2 5.29990- 3 1.30000+ 1 1.60000+ 1 5.02871- 3 6.00643- 3 1.30000+ 1 1.80000+ 1 3.18698- 4 6.06949- 3 1.30000+ 1 1.90000+ 1 1.73034- 3 6.09463- 3 1.30000+ 1 2.10000+ 1 6.99296- 4 6.19945- 3 1.30000+ 1 2.20000+ 1 8.74616- 3 6.20391- 3 1.30000+ 1 2.40000+ 1 2.24197- 4 6.32562- 3 1.30000+ 1 2.70000+ 1 7.70336- 4 6.28823- 3 1.30000+ 1 2.90000+ 1 4.49684- 5 6.30554- 3 1.30000+ 1 3.00000+ 1 2.26795- 4 6.30904- 3 1.30000+ 1 4.10000+ 1 6.45213- 5 6.32947- 3 1.40000+ 1 1.40000+ 1 1.90407- 2 5.32490- 3 1.40000+ 1 1.60000+ 1 7.03288- 3 6.03143- 3 1.40000+ 1 1.80000+ 1 2.59013- 3 6.09449- 3 1.40000+ 1 1.90000+ 1 1.20444- 3 6.11963- 3 1.40000+ 1 2.10000+ 1 8.61926- 3 6.22445- 3 1.40000+ 1 2.20000+ 1 5.15790- 3 6.22891- 3 1.40000+ 1 2.40000+ 1 7.09078- 4 6.35062- 3 1.40000+ 1 2.70000+ 1 1.08058- 3 6.31323- 3 1.40000+ 1 2.90000+ 1 3.44756- 4 6.33054- 3 1.40000+ 1 3.00000+ 1 1.59021- 4 6.33404- 3 1.40000+ 1 4.10000+ 1 9.05921- 5 6.35447- 3 1.60000+ 1 1.60000+ 1 4.41223- 4 6.73796- 3 1.60000+ 1 1.80000+ 1 8.21826- 4 6.80102- 3 1.60000+ 1 1.90000+ 1 1.46057- 3 6.82616- 3 1.60000+ 1 2.10000+ 1 9.03932- 4 6.93098- 3 1.60000+ 1 2.20000+ 1 1.25263- 3 6.93544- 3 1.60000+ 1 2.40000+ 1 2.28103- 5 7.05715- 3 1.60000+ 1 2.70000+ 1 1.42080- 4 7.01976- 3 1.60000+ 1 2.90000+ 1 1.11438- 4 7.03707- 3 1.60000+ 1 3.00000+ 1 1.90302- 4 7.04057- 3 1.60000+ 1 4.10000+ 1 1.17309- 5 7.06100- 3 1.80000+ 1 1.80000+ 1 6.51733- 7 6.86408- 3 1.80000+ 1 1.90000+ 1 3.19346- 5 6.88922- 3 1.80000+ 1 2.10000+ 1 4.82283- 5 6.99404- 3 1.80000+ 1 2.20000+ 1 3.12831- 4 6.99850- 3 1.80000+ 1 2.40000+ 1 8.47254- 6 7.12021- 3 1.80000+ 1 2.70000+ 1 1.27088- 4 7.08282- 3 1.80000+ 1 3.00000+ 1 3.91032- 6 7.10363- 3 1.80000+ 1 4.10000+ 1 1.04271- 5 7.12406- 3 1.90000+ 1 1.90000+ 1 2.60691- 5 6.91436- 3 1.90000+ 1 2.10000+ 1 1.77275- 4 7.01918- 3 1.90000+ 1 2.20000+ 1 1.26434- 4 7.02364- 3 1.90000+ 1 2.40000+ 1 3.19347- 5 7.14535- 3 1.90000+ 1 2.70000+ 1 2.26153- 4 7.10796- 3 1.90000+ 1 2.90000+ 1 4.56203- 6 7.12527- 3 1.90000+ 1 3.00000+ 1 6.51735- 6 7.12877- 3 1.90000+ 1 4.10000+ 1 1.89006- 5 7.14920- 3 2.10000+ 1 2.10000+ 1 5.80058- 5 7.12400- 3 2.10000+ 1 2.20000+ 1 1.19850- 3 7.12846- 3 2.10000+ 1 2.40000+ 1 2.80250- 5 7.25017- 3 2.10000+ 1 2.70000+ 1 1.38166- 4 7.21278- 3 2.10000+ 1 2.90000+ 1 6.51743- 6 7.23009- 3 2.10000+ 1 3.00000+ 1 2.34625- 5 7.23359- 3 2.10000+ 1 4.10000+ 1 1.17312- 5 7.25402- 3 2.20000+ 1 2.20000+ 1 3.70845- 4 7.13292- 3 2.20000+ 1 2.40000+ 1 7.16919- 5 7.25463- 3 2.20000+ 1 2.70000+ 1 1.92259- 4 7.21724- 3 2.20000+ 1 2.90000+ 1 4.17115- 5 7.23455- 3 2.20000+ 1 3.00000+ 1 1.69452- 5 7.23805- 3 2.20000+ 1 4.10000+ 1 1.62927- 5 7.25848- 3 2.40000+ 1 2.70000+ 1 3.25859- 6 7.33895- 3 2.40000+ 1 2.90000+ 1 1.30349- 6 7.35626- 3 2.40000+ 1 3.00000+ 1 3.91029- 6 7.35976- 3 2.70000+ 1 2.70000+ 1 1.60732- 5 7.30156- 3 2.70000+ 1 2.90000+ 1 2.32171- 5 7.31887- 3 2.70000+ 1 3.00000+ 1 4.01844- 5 7.32237- 3 2.70000+ 1 4.10000+ 1 2.67892- 6 7.34280- 3 2.90000+ 1 3.00000+ 1 1.64262- 6 7.33968- 3 2.90000+ 1 4.10000+ 1 3.28532- 6 7.36011- 3 3.00000+ 1 3.00000+ 1 3.83346- 7 7.34318- 3 3.00000+ 1 4.10000+ 1 1.53337- 6 7.36361- 3 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 3.02233- 7 5.67300- 4 8.00000+ 0 4.78025- 3 5.39410- 3 1.10000+ 1 8.67550- 5 5.67230- 3 1.30000+ 1 1.18501- 1 5.95960- 3 1.60000+ 1 8.58860- 4 6.69113- 3 1.90000+ 1 1.63812- 5 6.77933- 3 2.10000+ 1 2.02152- 2 6.88415- 3 2.40000+ 1 7.14288- 6 7.01032- 3 2.70000+ 1 1.38492- 4 6.97293- 3 3.00000+ 1 3.39654- 6 6.99374- 3 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 9.62665- 3 2.39230- 4 6.00000+ 0 1.80000+ 1 4.90490- 2 3.02290- 4 6.00000+ 0 1.90000+ 1 1.63248- 2 3.27430- 4 6.00000+ 0 2.10000+ 1 6.18431- 2 4.32250- 4 6.00000+ 0 2.20000+ 1 2.24791- 2 4.36710- 4 6.00000+ 0 2.40000+ 1 9.71726- 4 5.58420- 4 6.00000+ 0 2.70000+ 1 1.45771- 3 5.21030- 4 6.00000+ 0 2.90000+ 1 6.26574- 3 5.38340- 4 6.00000+ 0 3.00000+ 1 2.11183- 3 5.41840- 4 6.00000+ 0 4.10000+ 1 1.22257- 4 5.62270- 4 8.00000+ 0 8.00000+ 0 9.12205- 4 3.76900- 3 8.00000+ 0 1.00000+ 1 2.39005- 2 3.93250- 3 8.00000+ 0 1.10000+ 1 2.31506- 3 4.04720- 3 8.00000+ 0 1.30000+ 1 2.19129- 3 4.33450- 3 8.00000+ 0 1.40000+ 1 3.05285- 3 4.35950- 3 8.00000+ 0 1.60000+ 1 3.30291- 4 5.06603- 3 8.00000+ 0 1.80000+ 1 3.49572- 3 5.12909- 3 8.00000+ 0 1.90000+ 1 4.40636- 4 5.15423- 3 8.00000+ 0 2.10000+ 1 2.82647- 4 5.25905- 3 8.00000+ 0 2.20000+ 1 3.37437- 4 5.26351- 3 8.00000+ 0 2.40000+ 1 5.00194- 5 5.38522- 3 8.00000+ 0 2.70000+ 1 5.24000- 5 5.34783- 3 8.00000+ 0 2.90000+ 1 4.42209- 4 5.36514- 3 8.00000+ 0 3.00000+ 1 5.63702- 5 5.36864- 3 8.00000+ 0 4.10000+ 1 4.76358- 6 5.38907- 3 1.00000+ 1 1.00000+ 1 2.38603- 2 4.09600- 3 1.00000+ 1 1.10000+ 1 7.17066- 2 4.21070- 3 1.00000+ 1 1.30000+ 1 3.83337- 2 4.49800- 3 1.00000+ 1 1.40000+ 1 6.32896- 2 4.52300- 3 1.00000+ 1 1.60000+ 1 5.61636- 3 5.22953- 3 1.00000+ 1 1.80000+ 1 8.79108- 3 5.29259- 3 1.00000+ 1 1.90000+ 1 1.50843- 2 5.31773- 3 1.00000+ 1 2.10000+ 1 6.89701- 3 5.42255- 3 1.00000+ 1 2.20000+ 1 1.13692- 2 5.42701- 3 1.00000+ 1 2.40000+ 1 2.10401- 4 5.54872- 3 1.00000+ 1 2.70000+ 1 9.40861- 4 5.51133- 3 1.00000+ 1 2.90000+ 1 1.16232- 3 5.52864- 3 1.00000+ 1 3.00000+ 1 1.96099- 3 5.53214- 3 1.00000+ 1 4.10000+ 1 8.01892- 5 5.55257- 3 1.10000+ 1 1.10000+ 1 1.84036- 3 4.32540- 3 1.10000+ 1 1.30000+ 1 4.34129- 2 4.61270- 3 1.10000+ 1 1.40000+ 1 5.92039- 3 4.63770- 3 1.10000+ 1 1.60000+ 1 4.64449- 4 5.34423- 3 1.10000+ 1 1.80000+ 1 1.08592- 2 5.40729- 3 1.10000+ 1 1.90000+ 1 6.55800- 4 5.43243- 3 1.10000+ 1 2.10000+ 1 6.64689- 3 5.53725- 3 1.10000+ 1 2.20000+ 1 8.53513- 4 5.54171- 3 1.10000+ 1 2.40000+ 1 1.29416- 4 5.66342- 3 1.10000+ 1 2.70000+ 1 7.54242- 5 5.62603- 3 1.10000+ 1 2.90000+ 1 1.38154- 3 5.64334- 3 1.10000+ 1 3.00000+ 1 8.25704- 5 5.64684- 3 1.10000+ 1 4.10000+ 1 6.35177- 6 5.66727- 3 1.30000+ 1 1.30000+ 1 4.01017- 2 4.90000- 3 1.30000+ 1 1.40000+ 1 1.69208- 1 4.92500- 3 1.30000+ 1 1.60000+ 1 5.20817- 4 5.63153- 3 1.30000+ 1 1.80000+ 1 5.77047- 3 5.69459- 3 1.30000+ 1 1.90000+ 1 8.59090- 3 5.71973- 3 1.30000+ 1 2.10000+ 1 1.22209- 2 5.82455- 3 1.30000+ 1 2.20000+ 1 2.76641- 2 5.82901- 3 1.30000+ 1 2.40000+ 1 8.47923- 4 5.95072- 3 1.30000+ 1 2.70000+ 1 8.73373- 5 5.91333- 3 1.30000+ 1 2.90000+ 1 7.38362- 4 5.93064- 3 1.30000+ 1 3.00000+ 1 1.10517- 3 5.93414- 3 1.30000+ 1 4.10000+ 1 7.14556- 6 5.95457- 3 1.40000+ 1 1.40000+ 1 8.09490- 3 4.95000- 3 1.40000+ 1 1.60000+ 1 5.96229- 4 5.65653- 3 1.40000+ 1 1.80000+ 1 8.46398- 3 5.71959- 3 1.40000+ 1 1.90000+ 1 1.07179- 3 5.74473- 3 1.40000+ 1 2.10000+ 1 2.16284- 2 5.84955- 3 1.40000+ 1 2.20000+ 1 2.40554- 3 5.85401- 3 1.40000+ 1 2.40000+ 1 3.46937- 4 5.97572- 3 1.40000+ 1 2.70000+ 1 9.60611- 5 5.93833- 3 1.40000+ 1 2.90000+ 1 1.05194- 3 5.95564- 3 1.40000+ 1 3.00000+ 1 1.35763- 4 5.95914- 3 1.40000+ 1 4.10000+ 1 7.93938- 6 5.97957- 3 1.60000+ 1 1.60000+ 1 2.93754- 5 6.36306- 3 1.60000+ 1 1.80000+ 1 8.26482- 4 6.42612- 3 1.60000+ 1 1.90000+ 1 8.89195- 5 6.45126- 3 1.60000+ 1 2.10000+ 1 6.51036- 5 6.55608- 3 1.60000+ 1 2.20000+ 1 6.74843- 5 6.56054- 3 1.60000+ 1 2.40000+ 1 1.03209- 5 6.68225- 3 1.60000+ 1 2.70000+ 1 9.52752- 6 6.64486- 3 1.60000+ 1 2.90000+ 1 1.04791- 4 6.66217- 3 1.60000+ 1 3.00000+ 1 1.11151- 5 6.66567- 3 1.60000+ 1 4.10000+ 1 7.93947- 7 6.68610- 3 1.80000+ 1 1.80000+ 1 7.50235- 4 6.48918- 3 1.80000+ 1 1.90000+ 1 2.21917- 3 6.51432- 3 1.80000+ 1 2.10000+ 1 9.91354- 4 6.61914- 3 1.80000+ 1 2.20000+ 1 1.48664- 3 6.62360- 3 1.80000+ 1 2.40000+ 1 2.46480- 5 6.74531- 3 1.80000+ 1 2.70000+ 1 1.34035- 4 6.70792- 3 1.80000+ 1 2.90000+ 1 1.97186- 4 6.72523- 3 1.80000+ 1 3.00000+ 1 2.88851- 4 6.72873- 3 1.80000+ 1 4.10000+ 1 1.15544- 5 6.74916- 3 1.90000+ 1 1.90000+ 1 5.90040- 5 6.53946- 3 1.90000+ 1 2.10000+ 1 1.33229- 3 6.64428- 3 1.90000+ 1 2.20000+ 1 1.59468- 4 6.64874- 3 1.90000+ 1 2.40000+ 1 2.07316- 5 6.77045- 3 1.90000+ 1 2.70000+ 1 1.43514- 5 6.73306- 3 1.90000+ 1 2.90000+ 1 2.91827- 4 6.75037- 3 1.90000+ 1 3.00000+ 1 1.51501- 5 6.75387- 3 1.90000+ 1 4.10000+ 1 1.59468- 6 6.77430- 3 2.10000+ 1 2.10000+ 1 9.20177- 4 6.74910- 3 2.10000+ 1 2.20000+ 1 3.65924- 3 6.75356- 3 2.10000+ 1 2.40000+ 1 9.05120- 5 6.87527- 3 2.10000+ 1 2.70000+ 1 1.11153- 5 6.83788- 3 2.10000+ 1 2.90000+ 1 1.30212- 4 6.85519- 3 2.10000+ 1 3.00000+ 1 1.70702- 4 6.85869- 3 2.10000+ 1 4.10000+ 1 7.93957- 7 6.87912- 3 2.20000+ 1 2.20000+ 1 2.29481- 4 6.75802- 3 2.20000+ 1 2.40000+ 1 5.05457- 5 6.87973- 3 2.20000+ 1 2.70000+ 1 1.41530- 5 6.84234- 3 2.20000+ 1 2.90000+ 1 2.42623- 4 6.85965- 3 2.20000+ 1 3.00000+ 1 2.52735- 5 6.86315- 3 2.20000+ 1 4.10000+ 1 1.01094- 6 6.88358- 3 2.40000+ 1 2.70000+ 1 1.90210- 6 6.96405- 3 2.40000+ 1 2.90000+ 1 3.80417- 6 6.98136- 3 2.40000+ 1 3.00000+ 1 2.85313- 6 6.98486- 3 2.70000+ 1 2.70000+ 1 1.20476- 6 6.92666- 3 2.70000+ 1 2.90000+ 1 2.65051- 5 6.94397- 3 2.70000+ 1 3.00000+ 1 2.40948- 6 6.94747- 3 2.90000+ 1 2.90000+ 1 2.15109- 5 6.96128- 3 2.90000+ 1 3.00000+ 1 6.07373- 5 6.96478- 3 2.90000+ 1 4.10000+ 1 2.53071- 6 6.98521- 3 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.84900- 3 4.82680- 3 1.00000+ 1 5.58640- 5 4.99030- 3 1.10000+ 1 5.11520- 5 5.10500- 3 1.30000+ 1 1.12790- 2 5.39230- 3 1.40000+ 1 9.98020- 2 5.41730- 3 1.60000+ 1 1.05130- 3 6.12383- 3 1.80000+ 1 7.57080- 6 6.18689- 3 1.90000+ 1 7.30910- 6 6.21203- 3 2.10000+ 1 1.85170- 3 6.31685- 3 2.20000+ 1 1.65580- 2 6.32131- 3 2.40000+ 1 1.07080- 6 6.44302- 3 2.50000+ 1 6.11720- 6 6.44355- 3 2.70000+ 1 1.86600- 4 6.40563- 3 2.90000+ 1 1.58320- 6 6.42294- 3 3.00000+ 1 1.37390- 6 6.42644- 3 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.21367- 3 3.20170- 3 8.00000+ 0 1.00000+ 1 7.95896- 4 3.36520- 3 8.00000+ 0 1.10000+ 1 2.70975- 2 3.47990- 3 8.00000+ 0 1.30000+ 1 2.73642- 3 3.76720- 3 8.00000+ 0 1.40000+ 1 3.30068- 3 3.79220- 3 8.00000+ 0 1.60000+ 1 4.40474- 4 4.49873- 3 8.00000+ 0 1.80000+ 1 1.39801- 4 4.56179- 3 8.00000+ 0 1.90000+ 1 3.94766- 3 4.58693- 3 8.00000+ 0 2.10000+ 1 2.52673- 4 4.69175- 3 8.00000+ 0 2.20000+ 1 2.76248- 4 4.69621- 3 8.00000+ 0 2.40000+ 1 6.48499- 5 4.81792- 3 8.00000+ 0 2.70000+ 1 6.99045- 5 4.78053- 3 8.00000+ 0 2.90000+ 1 1.85287- 5 4.79784- 3 8.00000+ 0 3.00000+ 1 4.81768- 4 4.80134- 3 8.00000+ 0 4.10000+ 1 5.89538- 6 4.82177- 3 1.00000+ 1 1.00000+ 1 2.33296- 4 3.52870- 3 1.00000+ 1 1.10000+ 1 4.52764- 2 3.64340- 3 1.00000+ 1 1.30000+ 1 2.78357- 3 3.93070- 3 1.00000+ 1 1.40000+ 1 2.49479- 2 3.95570- 3 1.00000+ 1 1.60000+ 1 1.55810- 4 4.66223- 3 1.00000+ 1 1.80000+ 1 8.33799- 5 4.72529- 3 1.00000+ 1 1.90000+ 1 6.83969- 3 4.75043- 3 1.00000+ 1 2.10000+ 1 4.62380- 4 4.85525- 3 1.00000+ 1 2.20000+ 1 3.54388- 3 4.85971- 3 1.00000+ 1 2.40000+ 1 7.24302- 5 4.98142- 3 1.00000+ 1 2.70000+ 1 2.52671- 5 4.94403- 3 1.00000+ 1 2.90000+ 1 1.09486- 5 4.96134- 3 1.00000+ 1 3.00000+ 1 8.40517- 4 4.96484- 3 1.00000+ 1 4.10000+ 1 2.52671- 6 4.98527- 3 1.10000+ 1 1.10000+ 1 6.22005- 2 3.75810- 3 1.10000+ 1 1.30000+ 1 6.36794- 2 4.04540- 3 1.10000+ 1 1.40000+ 1 9.39199- 2 4.07040- 3 1.10000+ 1 1.60000+ 1 6.29804- 3 4.77693- 3 1.10000+ 1 1.80000+ 1 9.35149- 3 4.83999- 3 1.10000+ 1 1.90000+ 1 2.24144- 2 4.86513- 3 1.10000+ 1 2.10000+ 1 1.09749- 2 4.96995- 3 1.10000+ 1 2.20000+ 1 1.59608- 2 4.97441- 3 1.10000+ 1 2.40000+ 1 3.34367- 4 5.09612- 3 1.10000+ 1 2.70000+ 1 1.05283- 3 5.05873- 3 1.10000+ 1 2.90000+ 1 1.25657- 3 5.07604- 3 1.10000+ 1 3.00000+ 1 2.84750- 3 5.07954- 3 1.10000+ 1 4.10000+ 1 8.92725- 5 5.09997- 3 1.30000+ 1 1.30000+ 1 9.20458- 3 4.33270- 3 1.30000+ 1 1.40000+ 1 1.75358- 1 4.35770- 3 1.30000+ 1 1.60000+ 1 6.01328- 4 5.06423- 3 1.30000+ 1 1.80000+ 1 5.76075- 4 5.12729- 3 1.30000+ 1 1.90000+ 1 8.93174- 3 5.15243- 3 1.30000+ 1 2.10000+ 1 2.79027- 3 5.25725- 3 1.30000+ 1 2.20000+ 1 2.26389- 2 5.26171- 3 1.30000+ 1 2.40000+ 1 1.89500- 4 5.38342- 3 1.30000+ 1 2.70000+ 1 9.93863- 5 5.34603- 3 1.30000+ 1 2.90000+ 1 7.74848- 5 5.36334- 3 1.30000+ 1 3.00000+ 1 1.08397- 3 5.36684- 3 1.30000+ 1 4.10000+ 1 8.42233- 6 5.38727- 3 1.40000+ 1 1.40000+ 1 1.18517- 1 4.38270- 3 1.40000+ 1 1.60000+ 1 7.66425- 4 5.08923- 3 1.40000+ 1 1.80000+ 1 4.77360- 3 5.15229- 3 1.40000+ 1 1.90000+ 1 1.47982- 2 5.17743- 3 1.40000+ 1 2.10000+ 1 2.68883- 2 5.28225- 3 1.40000+ 1 2.20000+ 1 3.43742- 2 5.28671- 3 1.40000+ 1 2.40000+ 1 2.01962- 3 5.40842- 3 1.40000+ 1 2.70000+ 1 1.28012- 4 5.37103- 3 1.40000+ 1 2.90000+ 1 6.33333- 4 5.38834- 3 1.40000+ 1 3.00000+ 1 1.84023- 3 5.39184- 3 1.40000+ 1 4.10000+ 1 1.09486- 5 5.41227- 3 1.60000+ 1 1.60000+ 1 3.95854- 5 5.79576- 3 1.60000+ 1 1.80000+ 1 2.77947- 5 5.85882- 3 1.60000+ 1 1.90000+ 1 9.19715- 4 5.88396- 3 1.60000+ 1 2.10000+ 1 5.98018- 5 5.98878- 3 1.60000+ 1 2.20000+ 1 6.90660- 5 5.99324- 3 1.60000+ 1 2.40000+ 1 9.26513- 6 6.11495- 3 1.60000+ 1 2.70000+ 1 1.26332- 5 6.07756- 3 1.60000+ 1 2.90000+ 1 3.36900- 6 6.09487- 3 1.60000+ 1 3.00000+ 1 1.12028- 4 6.09837- 3 1.60000+ 1 4.10000+ 1 8.42265- 7 6.11880- 3 1.80000+ 1 1.80000+ 1 6.57787- 6 5.92188- 3 1.80000+ 1 1.90000+ 1 1.37565- 3 5.94702- 3 1.80000+ 1 2.10000+ 1 9.12700- 5 6.05184- 3 1.80000+ 1 2.20000+ 1 6.85734- 4 6.05630- 3 1.80000+ 1 2.40000+ 1 9.86618- 6 6.17801- 3 1.80000+ 1 2.70000+ 1 4.11097- 6 6.14062- 3 1.80000+ 1 2.90000+ 1 1.64447- 6 6.15793- 3 1.80000+ 1 3.00000+ 1 1.68550- 4 6.16143- 3 1.90000+ 1 1.90000+ 1 1.79913- 3 5.97216- 3 1.90000+ 1 2.10000+ 1 1.42488- 3 6.07698- 3 1.90000+ 1 2.20000+ 1 2.29247- 3 6.08144- 3 1.90000+ 1 2.40000+ 1 3.57959- 5 6.20315- 3 1.90000+ 1 2.70000+ 1 1.41628- 4 6.16576- 3 1.90000+ 1 2.90000+ 1 1.75087- 4 6.18307- 3 1.90000+ 1 3.00000+ 1 4.54443- 4 6.18657- 3 1.90000+ 1 4.10000+ 1 1.16719- 5 6.20700- 3 2.10000+ 1 2.10000+ 1 2.05499- 4 6.18180- 3 2.10000+ 1 2.20000+ 1 3.58543- 3 6.18626- 3 2.10000+ 1 2.40000+ 1 2.02136- 5 6.30797- 3 2.10000+ 1 2.70000+ 1 1.01062- 5 6.27058- 3 2.10000+ 1 2.90000+ 1 1.26326- 5 6.28789- 3 2.10000+ 1 3.00000+ 1 1.86974- 4 6.29139- 3 2.10000+ 1 4.10000+ 1 8.42229- 7 6.31182- 3 2.20000+ 1 2.20000+ 1 2.70297- 3 6.19072- 3 2.20000+ 1 2.40000+ 1 2.26469- 4 6.31243- 3 2.20000+ 1 2.70000+ 1 1.27328- 5 6.27504- 3 2.20000+ 1 2.90000+ 1 1.00956- 4 6.29235- 3 2.20000+ 1 3.00000+ 1 3.31959- 4 6.29585- 3 2.20000+ 1 4.10000+ 1 9.09486- 7 6.31628- 3 2.40000+ 1 2.70000+ 1 1.36339- 6 6.39675- 3 2.40000+ 1 2.90000+ 1 1.36339- 6 6.41406- 3 2.40000+ 1 3.00000+ 1 3.40831- 6 6.41756- 3 2.70000+ 1 2.70000+ 1 1.23207- 6 6.35936- 3 2.70000+ 1 2.90000+ 1 1.23207- 6 6.37667- 3 2.70000+ 1 3.00000+ 1 2.71049- 5 6.38017- 3 2.90000+ 1 3.00000+ 1 4.05130- 5 6.39748- 3 3.00000+ 1 3.00000+ 1 7.04109- 5 6.40098- 3 3.00000+ 1 4.10000+ 1 3.80608- 6 6.42141- 3 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.02992- 5 1.63500- 4 1.10000+ 1 1.04011- 4 2.78200- 4 1.80000+ 1 3.53547- 4 1.36009- 3 1.90000+ 1 4.35360- 4 1.38523- 3 2.90000+ 1 7.60715- 5 1.59614- 3 3.00000+ 1 8.81289- 5 1.59964- 3 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 8.08800- 2 2.84500- 5 1.00000+ 1 2.20000+ 1 1.12327- 1 3.29100- 5 1.00000+ 1 2.40000+ 1 1.64988- 2 1.54620- 4 1.00000+ 1 2.50000+ 1 2.21280- 2 1.55150- 4 1.00000+ 1 2.70000+ 1 9.14147- 3 1.17230- 4 1.00000+ 1 2.90000+ 1 7.62069- 3 1.34540- 4 1.00000+ 1 3.00000+ 1 1.21272- 2 1.38040- 4 1.00000+ 1 4.10000+ 1 7.60492- 4 1.58470- 4 1.10000+ 1 1.80000+ 1 8.00658- 2 1.31900- 5 1.10000+ 1 1.90000+ 1 1.14538- 1 3.83300- 5 1.10000+ 1 2.10000+ 1 5.22198- 2 1.43150- 4 1.10000+ 1 2.20000+ 1 7.50544- 2 1.47610- 4 1.10000+ 1 2.40000+ 1 4.17270- 2 2.69320- 4 1.10000+ 1 2.50000+ 1 5.25374- 2 2.69850- 4 1.10000+ 1 2.70000+ 1 1.17695- 2 2.31930- 4 1.10000+ 1 2.90000+ 1 9.96812- 3 2.49240- 4 1.10000+ 1 3.00000+ 1 1.42493- 2 2.52740- 4 1.10000+ 1 4.10000+ 1 9.80883- 4 2.73170- 4 1.30000+ 1 1.60000+ 1 2.89027- 2 2.37430- 4 1.30000+ 1 1.80000+ 1 6.33442- 3 3.00490- 4 1.30000+ 1 1.90000+ 1 5.32477- 3 3.25630- 4 1.30000+ 1 2.10000+ 1 9.00772- 3 4.30450- 4 1.30000+ 1 2.20000+ 1 1.12952- 2 4.34910- 4 1.30000+ 1 2.40000+ 1 2.06779- 3 5.56620- 4 1.30000+ 1 2.50000+ 1 2.01800- 3 5.57150- 4 1.30000+ 1 2.70000+ 1 3.24462- 3 5.19230- 4 1.30000+ 1 2.90000+ 1 6.70997- 4 5.36540- 4 1.30000+ 1 3.00000+ 1 5.34910- 4 5.40040- 4 1.30000+ 1 4.10000+ 1 2.61346- 4 5.60470- 4 1.40000+ 1 1.60000+ 1 4.19071- 2 2.62430- 4 1.40000+ 1 1.80000+ 1 1.40929- 3 3.25490- 4 1.40000+ 1 1.90000+ 1 1.22239- 2 3.50630- 4 1.40000+ 1 2.10000+ 1 1.20598- 2 4.55450- 4 1.40000+ 1 2.20000+ 1 1.84044- 2 4.59910- 4 1.40000+ 1 2.40000+ 1 2.43149- 3 5.81620- 4 1.40000+ 1 2.50000+ 1 3.72718- 3 5.82150- 4 1.40000+ 1 2.70000+ 1 4.66345- 3 5.44230- 4 1.40000+ 1 2.90000+ 1 1.45041- 4 5.61540- 4 1.40000+ 1 3.00000+ 1 1.22958- 3 5.65040- 4 1.40000+ 1 4.10000+ 1 3.75595- 4 5.85470- 4 1.60000+ 1 1.60000+ 1 5.91590- 3 9.68960- 4 1.60000+ 1 1.80000+ 1 9.84241- 3 1.03202- 3 1.60000+ 1 1.90000+ 1 1.77568- 2 1.05716- 3 1.60000+ 1 2.10000+ 1 1.89027- 2 1.16198- 3 1.60000+ 1 2.20000+ 1 2.73732- 2 1.16644- 3 1.60000+ 1 2.40000+ 1 2.64265- 3 1.28815- 3 1.60000+ 1 2.50000+ 1 3.36245- 3 1.28868- 3 1.60000+ 1 2.70000+ 1 1.63909- 3 1.25076- 3 1.60000+ 1 2.90000+ 1 1.32663- 3 1.26807- 3 1.60000+ 1 3.00000+ 1 2.30658- 3 1.27157- 3 1.60000+ 1 4.10000+ 1 1.36500- 4 1.29200- 3 1.80000+ 1 1.80000+ 1 4.98865- 4 1.09508- 3 1.80000+ 1 1.90000+ 1 1.25612- 3 1.12022- 3 1.80000+ 1 2.10000+ 1 7.52661- 4 1.22504- 3 1.80000+ 1 2.20000+ 1 3.57072- 4 1.22950- 3 1.80000+ 1 2.40000+ 1 4.77803- 5 1.35121- 3 1.80000+ 1 2.50000+ 1 1.78274- 4 1.35174- 3 1.80000+ 1 2.70000+ 1 1.04036- 3 1.31382- 3 1.80000+ 1 2.90000+ 1 1.07887- 4 1.33113- 3 1.80000+ 1 3.00000+ 1 1.28440- 4 1.33463- 3 1.80000+ 1 4.10000+ 1 8.37408- 5 1.35506- 3 1.90000+ 1 1.90000+ 1 1.61440- 3 1.14536- 3 1.90000+ 1 2.10000+ 1 9.13150- 4 1.25018- 3 1.90000+ 1 2.20000+ 1 2.33197- 3 1.25464- 3 1.90000+ 1 2.40000+ 1 1.78164- 4 1.37635- 3 1.90000+ 1 2.50000+ 1 3.26042- 4 1.37688- 3 1.90000+ 1 2.70000+ 1 1.81935- 3 1.33896- 3 1.90000+ 1 2.90000+ 1 1.37470- 4 1.35627- 3 1.90000+ 1 3.00000+ 1 3.52876- 4 1.35977- 3 1.90000+ 1 4.10000+ 1 1.46898- 4 1.38020- 3 2.10000+ 1 2.10000+ 1 2.22827- 4 1.35500- 3 2.10000+ 1 2.20000+ 1 1.00197- 3 1.35946- 3 2.10000+ 1 2.40000+ 1 1.68794- 4 1.48117- 3 2.10000+ 1 2.50000+ 1 1.27472- 3 1.48170- 3 2.10000+ 1 2.70000+ 1 1.97559- 3 1.44378- 3 2.10000+ 1 2.90000+ 1 7.41045- 5 1.46109- 3 2.10000+ 1 3.00000+ 1 9.72627- 5 1.46459- 3 2.10000+ 1 4.10000+ 1 1.59017- 4 1.48502- 3 2.20000+ 1 2.20000+ 1 5.75872- 4 1.36392- 3 2.20000+ 1 2.40000+ 1 1.27195- 3 1.48563- 3 2.20000+ 1 2.50000+ 1 7.19978- 4 1.48616- 3 2.20000+ 1 2.70000+ 1 2.82672- 3 1.44824- 3 2.20000+ 1 2.90000+ 1 3.56429- 5 1.46555- 3 2.20000+ 1 3.00000+ 1 2.44907- 4 1.46905- 3 2.20000+ 1 4.10000+ 1 2.27097- 4 1.48948- 3 2.40000+ 1 2.40000+ 1 2.90983- 5 1.60734- 3 2.40000+ 1 2.50000+ 1 3.66549- 4 1.60787- 3 2.40000+ 1 2.70000+ 1 2.52187- 4 1.56995- 3 2.40000+ 1 2.90000+ 1 4.59454- 6 1.58726- 3 2.40000+ 1 3.00000+ 1 1.73569- 5 1.59076- 3 2.40000+ 1 4.10000+ 1 1.99092- 5 1.61119- 3 2.50000+ 1 2.50000+ 1 8.52546- 5 1.60840- 3 2.50000+ 1 2.70000+ 1 3.20617- 4 1.57048- 3 2.50000+ 1 2.90000+ 1 2.19525- 5 1.58779- 3 2.50000+ 1 3.00000+ 1 3.06307- 5 1.59129- 3 2.50000+ 1 4.10000+ 1 2.55246- 5 1.61172- 3 2.70000+ 1 2.70000+ 1 1.02098- 4 1.53256- 3 2.70000+ 1 2.90000+ 1 1.39877- 4 1.54987- 3 2.70000+ 1 3.00000+ 1 2.43518- 4 1.55337- 3 2.70000+ 1 4.10000+ 1 1.68463- 5 1.57380- 3 2.90000+ 1 2.90000+ 1 5.13707- 6 1.56718- 3 2.90000+ 1 3.00000+ 1 1.30762- 5 1.57068- 3 2.90000+ 1 4.10000+ 1 1.02741- 5 1.59111- 3 3.00000+ 1 3.00000+ 1 2.11715- 5 1.57418- 3 3.00000+ 1 4.10000+ 1 2.11715- 5 1.59461- 3 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.64901- 4 4.02000- 4 1.60000+ 1 3.83351- 4 1.13353- 3 2.10000+ 1 1.80132- 3 1.32655- 3 2.70000+ 1 6.73414- 5 1.41533- 3 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.40000+ 1 1.26365- 2 1.05820- 4 1.10000+ 1 2.50000+ 1 1.47790- 2 1.06350- 4 1.10000+ 1 2.70000+ 1 6.70211- 3 6.84300- 5 1.10000+ 1 2.90000+ 1 6.66956- 3 8.57400- 5 1.10000+ 1 3.00000+ 1 7.33727- 3 8.92400- 5 1.10000+ 1 4.10000+ 1 5.32702- 4 1.09670- 4 1.30000+ 1 1.60000+ 1 9.92647- 2 7.39300- 5 1.30000+ 1 1.80000+ 1 9.95079- 2 1.36990- 4 1.30000+ 1 1.90000+ 1 1.35896- 1 1.62130- 4 1.30000+ 1 2.10000+ 1 4.36721- 2 2.66950- 4 1.30000+ 1 2.20000+ 1 4.93735- 2 2.71410- 4 1.30000+ 1 2.40000+ 1 6.02794- 2 3.93120- 4 1.30000+ 1 2.50000+ 1 9.05850- 2 3.93650- 4 1.30000+ 1 2.70000+ 1 1.64872- 2 3.55730- 4 1.30000+ 1 2.90000+ 1 1.16009- 2 3.73040- 4 1.30000+ 1 3.00000+ 1 1.67911- 2 3.76540- 4 1.30000+ 1 4.10000+ 1 1.40192- 3 3.96970- 4 1.40000+ 1 1.60000+ 1 1.67799- 2 9.89300- 5 1.40000+ 1 1.80000+ 1 1.16281- 1 1.61990- 4 1.40000+ 1 1.90000+ 1 1.15858- 2 1.87130- 4 1.40000+ 1 2.10000+ 1 2.00949- 3 2.91950- 4 1.40000+ 1 2.20000+ 1 5.69867- 3 2.96410- 4 1.40000+ 1 2.40000+ 1 1.76485- 3 4.18120- 4 1.40000+ 1 2.50000+ 1 1.46533- 3 4.18650- 4 1.40000+ 1 2.70000+ 1 1.85021- 3 3.80730- 4 1.40000+ 1 2.90000+ 1 1.10615- 2 3.98040- 4 1.40000+ 1 3.00000+ 1 1.30942- 3 4.01540- 4 1.40000+ 1 4.10000+ 1 1.49910- 4 4.21970- 4 1.60000+ 1 1.60000+ 1 7.98240- 4 8.05460- 4 1.60000+ 1 1.80000+ 1 1.10709- 2 8.68520- 4 1.60000+ 1 1.90000+ 1 1.78303- 3 8.93660- 4 1.60000+ 1 2.10000+ 1 3.74408- 4 9.98480- 4 1.60000+ 1 2.20000+ 1 1.26168- 3 1.00294- 3 1.60000+ 1 2.40000+ 1 3.65868- 5 1.12465- 3 1.60000+ 1 2.50000+ 1 1.94534- 4 1.12518- 3 1.60000+ 1 2.70000+ 1 2.09163- 4 1.08726- 3 1.60000+ 1 2.90000+ 1 1.01044- 3 1.10457- 3 1.60000+ 1 3.00000+ 1 2.08564- 4 1.10807- 3 1.60000+ 1 4.10000+ 1 1.70749- 5 1.12850- 3 1.80000+ 1 1.80000+ 1 8.40552- 3 9.31580- 4 1.80000+ 1 1.90000+ 1 2.57065- 2 9.56720- 4 1.80000+ 1 2.10000+ 1 2.37666- 2 1.06154- 3 1.80000+ 1 2.20000+ 1 3.92701- 2 1.06600- 3 1.80000+ 1 2.40000+ 1 2.78111- 3 1.18771- 3 1.80000+ 1 2.50000+ 1 4.83969- 3 1.18824- 3 1.80000+ 1 2.70000+ 1 1.90178- 3 1.15032- 3 1.80000+ 1 2.90000+ 1 1.92582- 3 1.16763- 3 1.80000+ 1 3.00000+ 1 3.31272- 3 1.17113- 3 1.80000+ 1 4.10000+ 1 1.61225- 4 1.19156- 3 1.90000+ 1 1.90000+ 1 7.67392- 4 9.81860- 4 1.90000+ 1 2.10000+ 1 2.28984- 3 1.08668- 3 1.90000+ 1 2.20000+ 1 1.75863- 3 1.09114- 3 1.90000+ 1 2.40000+ 1 2.18266- 3 1.21285- 3 1.90000+ 1 2.50000+ 1 6.40415- 4 1.21338- 3 1.90000+ 1 2.70000+ 1 2.22570- 4 1.17546- 3 1.90000+ 1 2.90000+ 1 2.59230- 3 1.19277- 3 1.90000+ 1 3.00000+ 1 1.66585- 4 1.19627- 3 1.90000+ 1 4.10000+ 1 1.77505- 5 1.21670- 3 2.10000+ 1 2.10000+ 1 8.07450- 4 1.19150- 3 2.10000+ 1 2.20000+ 1 2.30609- 3 1.19596- 3 2.10000+ 1 2.40000+ 1 2.61814- 4 1.31767- 3 2.10000+ 1 2.50000+ 1 4.68395- 4 1.31820- 3 2.10000+ 1 2.70000+ 1 5.71372- 5 1.28028- 3 2.10000+ 1 2.90000+ 1 2.16054- 3 1.29759- 3 2.10000+ 1 3.00000+ 1 2.28545- 4 1.30109- 3 2.10000+ 1 4.10000+ 1 5.02312- 6 1.32152- 3 2.20000+ 1 2.20000+ 1 4.98891- 4 1.20042- 3 2.20000+ 1 2.40000+ 1 8.49798- 4 1.32213- 3 2.20000+ 1 2.50000+ 1 1.77479- 4 1.32266- 3 2.20000+ 1 2.70000+ 1 1.53771- 4 1.28474- 3 2.20000+ 1 2.90000+ 1 3.33563- 3 1.30205- 3 2.20000+ 1 3.00000+ 1 1.50298- 4 1.30555- 3 2.20000+ 1 4.10000+ 1 1.27179- 5 1.32598- 3 2.40000+ 1 2.40000+ 1 8.13547- 5 1.44384- 3 2.40000+ 1 2.50000+ 1 8.41430- 4 1.44437- 3 2.40000+ 1 2.70000+ 1 2.27558- 6 1.40645- 3 2.40000+ 1 2.90000+ 1 2.09373- 4 1.42376- 3 2.40000+ 1 3.00000+ 1 2.18458- 4 1.42726- 3 2.50000+ 1 2.50000+ 1 3.29972- 5 1.44490- 3 2.50000+ 1 2.70000+ 1 2.61713- 5 1.40698- 3 2.50000+ 1 2.90000+ 1 3.65824- 4 1.42429- 3 2.50000+ 1 3.00000+ 1 5.74632- 5 1.42779- 3 2.50000+ 1 4.10000+ 1 2.27565- 6 1.44822- 3 2.70000+ 1 2.70000+ 1 1.35225- 5 1.36906- 3 2.70000+ 1 2.90000+ 1 1.62260- 4 1.38637- 3 2.70000+ 1 3.00000+ 1 2.29294- 5 1.38987- 3 2.70000+ 1 4.10000+ 1 2.35164- 6 1.41030- 3 2.90000+ 1 2.90000+ 1 1.45712- 4 1.40368- 3 2.90000+ 1 3.00000+ 1 4.29302- 4 1.40718- 3 2.90000+ 1 4.10000+ 1 2.00683- 5 1.42761- 3 3.00000+ 1 3.00000+ 1 2.31519- 5 1.41068- 3 3.00000+ 1 4.10000+ 1 5.34280- 6 1.43111- 3 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.84421- 5 2.87300- 4 1.40000+ 1 2.19934- 4 3.12300- 4 1.60000+ 1 5.16518- 4 1.01883- 3 2.10000+ 1 2.32391- 4 1.21185- 3 2.20000+ 1 1.89346- 3 1.21631- 3 2.70000+ 1 9.20965- 5 1.30063- 3 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.80000+ 1 1.60176- 2 2.22900- 5 1.30000+ 1 1.90000+ 1 8.55190- 2 4.74300- 5 1.30000+ 1 2.10000+ 1 1.29806- 2 1.52250- 4 1.30000+ 1 2.20000+ 1 1.07896- 2 1.56710- 4 1.30000+ 1 2.40000+ 1 6.47700- 3 2.78420- 4 1.30000+ 1 2.50000+ 1 9.59862- 3 2.78950- 4 1.30000+ 1 2.70000+ 1 2.89004- 3 2.41030- 4 1.30000+ 1 2.90000+ 1 1.98792- 3 2.58340- 4 1.30000+ 1 3.00000+ 1 8.51062- 3 2.61840- 4 1.30000+ 1 4.10000+ 1 2.37887- 4 2.82270- 4 1.40000+ 1 1.80000+ 1 1.09088- 1 4.72900- 5 1.40000+ 1 1.90000+ 1 1.93059- 1 7.24300- 5 1.40000+ 1 2.10000+ 1 5.56440- 2 1.77250- 4 1.40000+ 1 2.20000+ 1 8.56271- 2 1.81710- 4 1.40000+ 1 2.40000+ 1 6.20578- 2 3.03420- 4 1.40000+ 1 2.50000+ 1 7.39622- 2 3.03950- 4 1.40000+ 1 2.70000+ 1 1.68015- 2 2.66030- 4 1.40000+ 1 2.90000+ 1 1.36104- 2 2.83340- 4 1.40000+ 1 3.00000+ 1 2.20058- 2 2.86840- 4 1.40000+ 1 4.10000+ 1 1.39854- 3 3.07270- 4 1.60000+ 1 1.60000+ 1 7.58231- 4 6.90760- 4 1.60000+ 1 1.80000+ 1 1.12287- 3 7.53820- 4 1.60000+ 1 1.90000+ 1 1.64507- 2 7.78960- 4 1.60000+ 1 2.10000+ 1 9.90877- 4 8.83780- 4 1.60000+ 1 2.20000+ 1 1.07377- 3 8.88240- 4 1.60000+ 1 2.40000+ 1 3.06687- 4 1.00995- 3 1.60000+ 1 2.50000+ 1 4.64444- 4 1.01048- 3 1.60000+ 1 2.70000+ 1 1.97207- 4 9.72560- 4 1.60000+ 1 2.90000+ 1 1.24768- 4 9.89870- 4 1.60000+ 1 3.00000+ 1 1.47866- 3 9.93370- 4 1.60000+ 1 4.10000+ 1 1.60986- 5 1.01380- 3 1.80000+ 1 1.80000+ 1 1.64206- 4 8.16880- 4 1.80000+ 1 1.90000+ 1 1.96916- 2 8.42020- 4 1.80000+ 1 2.10000+ 1 5.08375- 4 9.46840- 4 1.80000+ 1 2.20000+ 1 3.47921- 3 9.51300- 4 1.80000+ 1 2.40000+ 1 3.37544- 4 1.07301- 3 1.80000+ 1 2.50000+ 1 2.01527- 3 1.07354- 3 1.80000+ 1 2.70000+ 1 1.33522- 4 1.03562- 3 1.80000+ 1 2.90000+ 1 3.40008- 5 1.05293- 3 1.80000+ 1 3.00000+ 1 1.79052- 3 1.05643- 3 1.80000+ 1 4.10000+ 1 1.07813- 5 1.07686- 3 1.90000+ 1 1.90000+ 1 2.68114- 2 8.67160- 4 1.90000+ 1 2.10000+ 1 3.62894- 2 9.71980- 4 1.90000+ 1 2.20000+ 1 4.88935- 2 9.76440- 4 1.90000+ 1 2.40000+ 1 5.98198- 3 1.09815- 3 1.90000+ 1 2.50000+ 1 6.81017- 3 1.09868- 3 1.90000+ 1 2.70000+ 1 2.60199- 3 1.06076- 3 1.90000+ 1 2.90000+ 1 2.47329- 3 1.07807- 3 1.90000+ 1 3.00000+ 1 5.87866- 3 1.08157- 3 1.90000+ 1 4.10000+ 1 2.19916- 4 1.10200- 3 2.10000+ 1 2.10000+ 1 2.39788- 4 1.07680- 3 2.10000+ 1 2.20000+ 1 3.94142- 3 1.08126- 3 2.10000+ 1 2.40000+ 1 1.23642- 4 1.20297- 3 2.10000+ 1 2.50000+ 1 1.56160- 3 1.20350- 3 2.10000+ 1 2.70000+ 1 1.00409- 4 1.16558- 3 2.10000+ 1 2.90000+ 1 3.82152- 5 1.18289- 3 2.10000+ 1 3.00000+ 1 3.12613- 3 1.18639- 3 2.10000+ 1 4.10000+ 1 8.24276- 6 1.20682- 3 2.20000+ 1 2.20000+ 1 1.90793- 3 1.08572- 3 2.20000+ 1 2.40000+ 1 1.12679- 3 1.20743- 3 2.20000+ 1 2.50000+ 1 1.00711- 3 1.20796- 3 2.20000+ 1 2.70000+ 1 1.04981- 4 1.17004- 3 2.20000+ 1 2.90000+ 1 2.55456- 4 1.18735- 3 2.20000+ 1 3.00000+ 1 3.89824- 3 1.19085- 3 2.20000+ 1 4.10000+ 1 8.39861- 6 1.21128- 3 2.40000+ 1 2.40000+ 1 2.61695- 5 1.32914- 3 2.40000+ 1 2.50000+ 1 1.13836- 3 1.32967- 3 2.40000+ 1 2.70000+ 1 2.98023- 5 1.29175- 3 2.40000+ 1 2.90000+ 1 3.27122- 5 1.30906- 3 2.40000+ 1 3.00000+ 1 4.73954- 4 1.31256- 3 2.40000+ 1 4.10000+ 1 2.18076- 6 1.33299- 3 2.50000+ 1 2.50000+ 1 3.25664- 4 1.33020- 3 2.50000+ 1 2.70000+ 1 3.63468- 5 1.29228- 3 2.50000+ 1 2.90000+ 1 1.99202- 4 1.30959- 3 2.50000+ 1 3.00000+ 1 5.53199- 4 1.31309- 3 2.50000+ 1 4.10000+ 1 2.90767- 6 1.33352- 3 2.70000+ 1 2.70000+ 1 1.53611- 5 1.25436- 3 2.70000+ 1 2.90000+ 1 1.62648- 5 1.27167- 3 2.70000+ 1 3.00000+ 1 2.69272- 4 1.27517- 3 2.70000+ 1 4.10000+ 1 2.71081- 6 1.29560- 3 2.90000+ 1 2.90000+ 1 2.26780- 6 1.28898- 3 2.90000+ 1 3.00000+ 1 3.26565- 4 1.29248- 3 2.90000+ 1 4.10000+ 1 1.13392- 6 1.31291- 3 3.00000+ 1 3.00000+ 1 7.06873- 4 1.29598- 3 3.00000+ 1 4.10000+ 1 4.45132- 5 1.31641- 3 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.74012- 3 7.94590- 4 1.90000+ 1 5.29564- 4 8.19730- 4 2.40000+ 1 8.83883- 4 1.05072- 3 2.90000+ 1 6.38003- 4 1.03064- 3 3.00000+ 1 9.13153- 5 1.03414- 3 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 6.09046- 2 1.61200- 5 1.40000+ 1 2.50000+ 1 9.41852- 3 1.66500- 5 1.40000+ 1 3.00000+ 1 3.06029- 3 0.00000+ 0 1.40000+ 1 4.10000+ 1 2.59848- 4 1.99700- 5 1.60000+ 1 1.60000+ 1 1.56299- 5 4.03460- 4 1.60000+ 1 1.80000+ 1 3.64514- 3 4.66520- 4 1.60000+ 1 1.90000+ 1 2.56341- 3 4.91660- 4 1.60000+ 1 2.10000+ 1 8.34166- 2 5.96480- 4 1.60000+ 1 2.20000+ 1 1.07194- 2 6.00940- 4 1.60000+ 1 2.40000+ 1 6.74915- 3 7.22650- 4 1.60000+ 1 2.50000+ 1 2.32888- 3 7.23180- 4 1.60000+ 1 2.70000+ 1 2.81347- 5 6.85260- 4 1.60000+ 1 2.90000+ 1 3.84497- 4 7.02570- 4 1.60000+ 1 3.00000+ 1 2.09448- 4 7.06070- 4 1.60000+ 1 4.10000+ 1 3.12612- 6 7.26500- 4 1.80000+ 1 1.80000+ 1 1.80064- 3 5.29580- 4 1.80000+ 1 1.90000+ 1 1.28481- 2 5.54720- 4 1.80000+ 1 2.10000+ 1 7.01470- 2 6.59540- 4 1.80000+ 1 2.20000+ 1 6.07401- 3 6.64000- 4 1.80000+ 1 2.40000+ 1 4.41730- 3 7.85710- 4 1.80000+ 1 2.50000+ 1 2.51656- 3 7.86240- 4 1.80000+ 1 2.70000+ 1 3.75138- 4 7.48320- 4 1.80000+ 1 2.90000+ 1 3.93888- 4 7.65630- 4 1.80000+ 1 3.00000+ 1 1.24420- 3 7.69130- 4 1.80000+ 1 4.10000+ 1 3.12619- 5 7.89560- 4 1.90000+ 1 1.90000+ 1 4.76717- 3 5.79860- 4 1.90000+ 1 2.10000+ 1 1.52606- 1 6.84680- 4 1.90000+ 1 2.20000+ 1 5.71139- 3 6.89140- 4 1.90000+ 1 2.40000+ 1 3.15730- 3 8.10850- 4 1.90000+ 1 2.50000+ 1 1.44744- 3 8.11380- 4 1.90000+ 1 2.70000+ 1 3.00091- 4 7.73460- 4 1.90000+ 1 2.90000+ 1 1.20661- 3 7.90770- 4 1.90000+ 1 3.00000+ 1 8.94052- 4 7.94270- 4 1.90000+ 1 4.10000+ 1 2.50091- 5 8.14700- 4 2.10000+ 1 2.10000+ 1 1.26569- 1 7.89500- 4 2.10000+ 1 2.20000+ 1 2.58719- 1 7.93960- 4 2.10000+ 1 2.40000+ 1 2.50245- 2 9.15670- 4 2.10000+ 1 2.50000+ 1 3.29332- 2 9.16200- 4 2.10000+ 1 2.70000+ 1 1.25539- 2 8.78280- 4 2.10000+ 1 2.90000+ 1 9.39221- 3 8.95590- 4 2.10000+ 1 3.00000+ 1 1.92600- 2 8.99090- 4 2.10000+ 1 4.10000+ 1 1.05406- 3 9.19520- 4 2.20000+ 1 2.20000+ 1 4.22964- 3 7.98420- 4 2.20000+ 1 2.40000+ 1 2.39361- 2 9.20130- 4 2.20000+ 1 2.50000+ 1 1.47538- 3 9.20660- 4 2.20000+ 1 2.70000+ 1 9.06583- 4 8.82740- 4 2.20000+ 1 2.90000+ 1 5.40830- 4 9.00050- 4 2.20000+ 1 3.00000+ 1 5.84586- 4 9.03550- 4 2.20000+ 1 4.10000+ 1 7.19016- 5 9.23980- 4 2.40000+ 1 2.40000+ 1 3.48576- 3 1.04184- 3 2.40000+ 1 2.50000+ 1 1.60154- 2 1.04237- 3 2.40000+ 1 2.70000+ 1 1.01600- 3 1.00445- 3 2.40000+ 1 2.90000+ 1 4.65801- 4 1.02176- 3 2.40000+ 1 3.00000+ 1 3.78262- 4 1.02526- 3 2.40000+ 1 4.10000+ 1 8.44063- 5 1.04569- 3 2.50000+ 1 2.50000+ 1 2.56343- 4 1.04290- 3 2.50000+ 1 2.70000+ 1 2.50097- 4 1.00498- 3 2.50000+ 1 2.90000+ 1 1.59423- 4 1.02229- 3 2.50000+ 1 3.00000+ 1 1.62558- 4 1.02579- 3 2.50000+ 1 4.10000+ 1 1.87565- 5 1.04622- 3 2.70000+ 1 2.70000+ 1 8.21279- 6 9.67060- 4 2.70000+ 1 2.90000+ 1 1.14979- 4 9.84370- 4 2.70000+ 1 3.00000+ 1 6.57037- 5 9.87870- 4 2.90000+ 1 2.90000+ 1 5.53274- 5 1.00168- 3 2.90000+ 1 3.00000+ 1 3.16130- 4 1.00518- 3 2.90000+ 1 4.10000+ 1 7.90393- 6 1.02561- 3 3.00000+ 1 3.00000+ 1 3.13628- 4 1.00868- 3 3.00000+ 1 4.10000+ 1 2.24020- 5 1.02911- 3 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 4.13088- 3 7.94730- 4 2.40000+ 1 4.99017- 5 1.02572- 3 2.50000+ 1 9.70454- 4 1.02625- 3 3.00000+ 1 7.67766- 4 1.00914- 3 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.80000+ 1 1.12158- 3 4.41520- 4 1.60000+ 1 1.90000+ 1 5.96304- 3 4.66660- 4 1.60000+ 1 2.10000+ 1 8.73730- 3 5.71480- 4 1.60000+ 1 2.20000+ 1 9.46322- 2 5.75940- 4 1.60000+ 1 2.40000+ 1 2.34937- 3 6.97650- 4 1.60000+ 1 2.50000+ 1 7.63875- 3 6.98180- 4 1.60000+ 1 2.70000+ 1 2.32275- 5 6.60260- 4 1.60000+ 1 2.90000+ 1 6.30485- 5 6.77570- 4 1.60000+ 1 3.00000+ 1 5.57484- 4 6.81070- 4 1.60000+ 1 4.10000+ 1 3.31839- 6 7.01500- 4 1.80000+ 1 1.80000+ 1 1.32730- 5 5.04580- 4 1.80000+ 1 1.90000+ 1 1.38513- 2 5.29720- 4 1.80000+ 1 2.10000+ 1 8.79354- 4 6.34540- 4 1.80000+ 1 2.20000+ 1 9.29731- 2 6.39000- 4 1.80000+ 1 2.40000+ 1 1.03873- 3 7.60710- 4 1.80000+ 1 2.50000+ 1 3.71328- 3 7.61240- 4 1.80000+ 1 2.70000+ 1 1.12827- 4 7.23320- 4 1.80000+ 1 2.90000+ 1 6.63663- 6 7.40630- 4 1.80000+ 1 3.00000+ 1 1.29091- 3 7.44130- 4 1.80000+ 1 4.10000+ 1 9.95487- 6 7.64560- 4 1.90000+ 1 1.90000+ 1 1.07185- 2 5.54860- 4 1.90000+ 1 2.10000+ 1 8.67762- 3 6.59680- 4 1.90000+ 1 2.20000+ 1 1.51080- 1 6.64140- 4 1.90000+ 1 2.40000+ 1 1.86490- 3 7.85850- 4 1.90000+ 1 2.50000+ 1 4.45992- 3 7.86380- 4 1.90000+ 1 2.70000+ 1 6.86907- 4 7.48460- 4 1.90000+ 1 2.90000+ 1 1.25443- 3 7.65770- 4 1.90000+ 1 3.00000+ 1 2.06074- 3 7.69270- 4 1.90000+ 1 4.10000+ 1 5.64125- 5 7.89700- 4 2.10000+ 1 2.10000+ 1 1.86155- 3 7.64500- 4 2.10000+ 1 2.20000+ 1 1.92068- 1 7.68960- 4 2.10000+ 1 2.40000+ 1 1.20454- 3 8.90670- 4 2.10000+ 1 2.50000+ 1 1.57188- 2 8.91200- 4 2.10000+ 1 2.70000+ 1 7.23396- 4 8.53280- 4 2.10000+ 1 2.90000+ 1 1.16146- 4 8.70590- 4 2.10000+ 1 3.00000+ 1 7.99716- 4 8.74090- 4 2.10000+ 1 4.10000+ 1 5.64111- 5 8.94520- 4 2.20000+ 1 2.20000+ 1 2.20783- 1 7.73420- 4 2.20000+ 1 2.40000+ 1 2.96354- 2 8.95130- 4 2.20000+ 1 2.50000+ 1 4.35793- 2 8.95660- 4 2.20000+ 1 2.70000+ 1 1.37374- 2 8.57740- 4 2.20000+ 1 2.90000+ 1 1.19156- 2 8.75050- 4 2.20000+ 1 3.00000+ 1 1.90759- 2 8.78550- 4 2.20000+ 1 4.10000+ 1 1.15137- 3 8.98980- 4 2.40000+ 1 2.40000+ 1 2.85359- 4 1.01684- 3 2.40000+ 1 2.50000+ 1 1.43522- 2 1.01737- 3 2.40000+ 1 2.70000+ 1 2.65457- 4 9.79450- 4 2.40000+ 1 2.90000+ 1 1.22772- 4 9.96760- 4 2.40000+ 1 3.00000+ 1 1.65907- 4 1.00026- 3 2.40000+ 1 4.10000+ 1 2.32264- 5 1.02069- 3 2.50000+ 1 2.50000+ 1 7.25381- 3 1.01790- 3 2.50000+ 1 2.70000+ 1 1.10831- 3 9.79980- 4 2.50000+ 1 2.90000+ 1 4.64562- 4 9.97290- 4 2.50000+ 1 3.00000+ 1 4.81154- 4 1.00079- 3 2.50000+ 1 4.10000+ 1 9.29114- 5 1.02122- 3 2.70000+ 1 2.90000+ 1 2.97963- 5 9.59370- 4 2.70000+ 1 3.00000+ 1 3.12862- 4 9.62870- 4 2.90000+ 1 3.00000+ 1 4.00358- 4 9.80180- 4 3.00000+ 1 3.00000+ 1 4.30230- 4 9.83680- 4 3.00000+ 1 4.10000+ 1 2.77573- 5 1.00411- 3 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.34334- 5 6.30600- 5 1.90000+ 1 7.38232- 5 8.82000- 5 2.90000+ 1 3.01975- 5 2.99110- 4 3.00000+ 1 2.55455- 5 3.02610- 4 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 2.35897- 2 5.41800- 5 1.80000+ 1 2.50000+ 1 3.61382- 2 5.47100- 5 1.80000+ 1 2.70000+ 1 5.24893- 2 1.67900- 5 1.80000+ 1 2.90000+ 1 4.12727- 2 3.41000- 5 1.80000+ 1 3.00000+ 1 8.62034- 2 3.76000- 5 1.80000+ 1 4.10000+ 1 4.29056- 3 5.80300- 5 1.90000+ 1 2.40000+ 1 8.15717- 2 7.93200- 5 1.90000+ 1 2.50000+ 1 9.75900- 2 7.98500- 5 1.90000+ 1 2.70000+ 1 6.72893- 2 4.19300- 5 1.90000+ 1 2.90000+ 1 6.82634- 2 5.92400- 5 1.90000+ 1 3.00000+ 1 9.15831- 2 6.27400- 5 1.90000+ 1 4.10000+ 1 5.56908- 3 8.31700- 5 2.10000+ 1 2.10000+ 1 4.83373- 3 5.79700- 5 2.10000+ 1 2.20000+ 1 2.84842- 2 6.24300- 5 2.10000+ 1 2.40000+ 1 2.88296- 3 1.84140- 4 2.10000+ 1 2.50000+ 1 7.09850- 3 1.84670- 4 2.10000+ 1 2.70000+ 1 2.20803- 2 1.46750- 4 2.10000+ 1 2.90000+ 1 4.35760- 3 1.64060- 4 2.10000+ 1 3.00000+ 1 1.39258- 2 1.67560- 4 2.10000+ 1 4.10000+ 1 1.52221- 3 1.87990- 4 2.20000+ 1 2.20000+ 1 1.38777- 2 6.68900- 5 2.20000+ 1 2.40000+ 1 8.09940- 3 1.88600- 4 2.20000+ 1 2.50000+ 1 7.02496- 3 1.89130- 4 2.20000+ 1 2.70000+ 1 3.20842- 2 1.51210- 4 2.20000+ 1 2.90000+ 1 1.27936- 2 1.68520- 4 2.20000+ 1 3.00000+ 1 1.31588- 2 1.72020- 4 2.20000+ 1 4.10000+ 1 2.20874- 3 1.92450- 4 2.40000+ 1 2.40000+ 1 5.27141- 4 3.10310- 4 2.40000+ 1 2.50000+ 1 2.06375- 3 3.10840- 4 2.40000+ 1 2.70000+ 1 6.34914- 3 2.72920- 4 2.40000+ 1 2.90000+ 1 7.93898- 4 2.90230- 4 2.40000+ 1 3.00000+ 1 1.92878- 3 2.93730- 4 2.40000+ 1 4.10000+ 1 3.98475- 4 3.14160- 4 2.50000+ 1 2.50000+ 1 1.03752- 3 3.11370- 4 2.50000+ 1 2.70000+ 1 8.23279- 3 2.73450- 4 2.50000+ 1 2.90000+ 1 5.94023- 4 2.90760- 4 2.50000+ 1 3.00000+ 1 2.43890- 3 2.94260- 4 2.50000+ 1 4.10000+ 1 5.15973- 4 3.14690- 4 2.70000+ 1 2.70000+ 1 1.64495- 2 2.35530- 4 2.70000+ 1 2.90000+ 1 2.00432- 2 2.52840- 4 2.70000+ 1 3.00000+ 1 3.50217- 2 2.56340- 4 2.70000+ 1 4.10000+ 1 2.43987- 3 2.76770- 4 2.90000+ 1 2.90000+ 1 6.23722- 3 2.70150- 4 2.90000+ 1 3.00000+ 1 2.66679- 2 2.73650- 4 2.90000+ 1 4.10000+ 1 5.06147- 3 2.94080- 4 3.00000+ 1 3.00000+ 1 2.32705- 2 2.77150- 4 3.00000+ 1 4.10000+ 1 9.50207- 3 2.97580- 4 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.33796- 4 1.29960- 4 2.70000+ 1 4.91800- 5 2.18740- 4 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 3.50851- 2 1.62600- 5 1.90000+ 1 2.50000+ 1 2.69865- 2 1.67900- 5 1.90000+ 1 3.00000+ 1 1.30756- 2 0.00000+ 0 1.90000+ 1 4.10000+ 1 1.49004- 3 2.01100- 5 2.10000+ 1 2.10000+ 1 3.52695- 2 0.00000+ 0 2.10000+ 1 2.20000+ 1 4.22184- 1 0.00000+ 0 2.10000+ 1 2.40000+ 1 6.95957- 2 1.21080- 4 2.10000+ 1 2.50000+ 1 1.43909- 1 1.21610- 4 2.10000+ 1 2.70000+ 1 4.03589- 2 8.36900- 5 2.10000+ 1 2.90000+ 1 2.84872- 2 1.01000- 4 2.10000+ 1 3.00000+ 1 5.39343- 2 1.04500- 4 2.10000+ 1 4.10000+ 1 3.36396- 3 1.24930- 4 2.20000+ 1 2.20000+ 1 2.11279- 2 3.83000- 6 2.20000+ 1 2.40000+ 1 1.75960- 2 1.25540- 4 2.20000+ 1 2.50000+ 1 4.70471- 3 1.26070- 4 2.20000+ 1 2.70000+ 1 6.60838- 3 8.81500- 5 2.20000+ 1 2.90000+ 1 2.84101- 2 1.05460- 4 2.20000+ 1 3.00000+ 1 6.41764- 3 1.08960- 4 2.20000+ 1 4.10000+ 1 4.82500- 4 1.29390- 4 2.40000+ 1 2.40000+ 1 2.99494- 4 2.47250- 4 2.40000+ 1 2.50000+ 1 3.15585- 3 2.47780- 4 2.40000+ 1 2.70000+ 1 1.46720- 3 2.09860- 4 2.40000+ 1 2.90000+ 1 5.03630- 3 2.27170- 4 2.40000+ 1 3.00000+ 1 1.96908- 3 2.30670- 4 2.40000+ 1 4.10000+ 1 1.19103- 4 2.51100- 4 2.50000+ 1 2.50000+ 1 9.69394- 5 2.48310- 4 2.50000+ 1 2.70000+ 1 7.32013- 4 2.10390- 4 2.50000+ 1 2.90000+ 1 8.25339- 3 2.27700- 4 2.50000+ 1 3.00000+ 1 6.79625- 4 2.31200- 4 2.50000+ 1 4.10000+ 1 4.95533- 5 2.51630- 4 2.70000+ 1 2.70000+ 1 1.38293- 4 1.72470- 4 2.70000+ 1 2.90000+ 1 2.46968- 3 1.89780- 4 2.70000+ 1 3.00000+ 1 3.81822- 4 1.93280- 4 2.70000+ 1 4.10000+ 1 1.94138- 5 2.13710- 4 2.90000+ 1 2.90000+ 1 3.78435- 3 2.07090- 4 2.90000+ 1 3.00000+ 1 1.08866- 2 2.10590- 4 2.90000+ 1 4.10000+ 1 5.76123- 4 2.31020- 4 3.00000+ 1 3.00000+ 1 4.39270- 4 2.14090- 4 3.00000+ 1 4.10000+ 1 7.65214- 5 2.34520- 4 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 6.09410- 6 1.04820- 4 2.20000+ 1 6.54390- 5 1.09280- 4 2.70000+ 1 2.18120- 5 1.93600- 4 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.56619- 2 9.59400- 5 2.10000+ 1 2.50000+ 1 4.69495- 2 9.64700- 5 2.10000+ 1 2.70000+ 1 1.96644- 2 5.85500- 5 2.10000+ 1 2.90000+ 1 1.47075- 2 7.58600- 5 2.10000+ 1 3.00000+ 1 5.83924- 2 7.93600- 5 2.10000+ 1 4.10000+ 1 1.62417- 3 9.97900- 5 2.20000+ 1 2.40000+ 1 2.05555- 1 1.00400- 4 2.20000+ 1 2.50000+ 1 2.09414- 1 1.00930- 4 2.20000+ 1 2.70000+ 1 1.02215- 1 6.30100- 5 2.20000+ 1 2.90000+ 1 9.88376- 2 8.03200- 5 2.20000+ 1 3.00000+ 1 1.52875- 1 8.38200- 5 2.20000+ 1 4.10000+ 1 8.84315- 3 1.04250- 4 2.40000+ 1 2.40000+ 1 1.33490- 4 2.22110- 4 2.40000+ 1 2.50000+ 1 5.72303- 3 2.22640- 4 2.40000+ 1 2.70000+ 1 2.51043- 3 1.84720- 4 2.40000+ 1 2.90000+ 1 1.08866- 3 2.02030- 4 2.40000+ 1 3.00000+ 1 1.59271- 2 2.05530- 4 2.40000+ 1 4.10000+ 1 1.59291- 4 2.25960- 4 2.50000+ 1 2.50000+ 1 1.73077- 3 2.23170- 4 2.50000+ 1 2.70000+ 1 5.36617- 3 1.85250- 4 2.50000+ 1 2.90000+ 1 4.50174- 3 2.02560- 4 2.50000+ 1 3.00000+ 1 1.93452- 2 2.06060- 4 2.50000+ 1 4.10000+ 1 3.81106- 4 2.26490- 4 2.70000+ 1 2.70000+ 1 1.85617- 5 1.47330- 4 2.70000+ 1 2.90000+ 1 1.59097- 4 1.64640- 4 2.70000+ 1 3.00000+ 1 3.06051- 3 1.68140- 4 2.70000+ 1 4.10000+ 1 3.03054- 6 1.88570- 4 2.90000+ 1 2.90000+ 1 1.49628- 5 1.81950- 4 2.90000+ 1 3.00000+ 1 1.44588- 3 1.85450- 4 2.90000+ 1 4.10000+ 1 5.75501- 6 2.05880- 4 3.00000+ 1 3.00000+ 1 3.36878- 3 1.88950- 4 3.00000+ 1 4.10000+ 1 2.23521- 4 2.09380- 4 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.68386- 6 1.26170- 4 2.90000+ 1 6.83457- 6 1.06090- 4 3.00000+ 1 1.12333- 6 1.09590- 4 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 2.40000+ 1 5.00805- 2 0.00000+ 0 2.20000+ 1 2.50000+ 1 5.86465- 3 0.00000+ 0 2.40000+ 1 2.40000+ 1 4.68622- 2 1.17290- 4 2.40000+ 1 2.50000+ 1 2.23955- 1 1.17820- 4 2.40000+ 1 2.70000+ 1 6.01663- 2 7.99000- 5 2.40000+ 1 2.90000+ 1 5.20296- 2 9.72100- 5 2.40000+ 1 3.00000+ 1 8.44866- 2 1.00710- 4 2.40000+ 1 4.10000+ 1 5.18230- 3 1.21140- 4 2.50000+ 1 2.50000+ 1 9.74269- 4 1.18350- 4 2.50000+ 1 2.70000+ 1 3.24121- 3 8.04300- 5 2.50000+ 1 2.90000+ 1 9.89146- 3 9.77400- 5 2.50000+ 1 3.00000+ 1 3.23596- 3 1.01240- 4 2.50000+ 1 4.10000+ 1 2.32161- 4 1.21670- 4 2.70000+ 1 2.70000+ 1 2.72232- 2 4.25100- 5 2.70000+ 1 2.90000+ 1 2.09748- 2 5.98200- 5 2.70000+ 1 3.00000+ 1 2.58445- 2 6.33200- 5 2.70000+ 1 4.10000+ 1 2.49877- 3 8.37500- 5 2.90000+ 1 2.90000+ 1 6.70901- 2 7.71300- 5 2.90000+ 1 3.00000+ 1 2.10696- 1 8.06300- 5 2.90000+ 1 4.10000+ 1 8.33442- 3 1.01060- 4 3.00000+ 1 3.00000+ 1 8.43829- 2 8.41300- 5 3.00000+ 1 4.10000+ 1 6.74341- 3 1.04560- 4 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 9.00334- 8 1.21710- 4 2.50000+ 1 1.82061- 6 1.22240- 4 3.00000+ 1 8.32034- 6 1.05130- 4 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 5.48056- 3 1.12830- 4 2.40000+ 1 2.50000+ 1 3.18521- 1 1.13360- 4 2.40000+ 1 2.70000+ 1 1.51313- 2 7.54400- 5 2.40000+ 1 2.90000+ 1 8.60464- 3 9.27500- 5 2.40000+ 1 3.00000+ 1 3.47765- 2 9.62500- 5 2.40000+ 1 4.10000+ 1 1.17829- 3 1.16680- 4 2.50000+ 1 2.50000+ 1 1.67702- 1 1.13890- 4 2.50000+ 1 2.70000+ 1 1.11115- 1 7.59700- 5 2.50000+ 1 2.90000+ 1 1.09295- 1 9.32800- 5 2.50000+ 1 3.00000+ 1 1.55211- 1 9.67800- 5 2.50000+ 1 4.10000+ 1 9.65081- 3 1.17210- 4 2.70000+ 1 2.70000+ 1 1.42999- 2 3.80500- 5 2.70000+ 1 2.90000+ 1 6.30674- 3 5.53600- 5 2.70000+ 1 3.00000+ 1 1.68472- 2 5.88600- 5 2.70000+ 1 4.10000+ 1 1.30037- 3 7.92900- 5 2.90000+ 1 2.90000+ 1 1.35178- 3 7.26700- 5 2.90000+ 1 3.00000+ 1 1.33438- 2 7.61700- 5 2.90000+ 1 4.10000+ 1 2.83546- 4 9.66000- 5 3.00000+ 1 3.00000+ 1 8.79760- 3 7.96700- 5 3.00000+ 1 4.10000+ 1 7.94450- 4 1.00100- 4 1 61000 0 7 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 9.61283- 9 1.73100- 5 3.00000+ 1 3.38338- 8 2.08100- 5 1 61000 0 9 1.45000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 3.99477- 1 1.22800- 5 3.00000+ 1 4.10000+ 1 5.92576- 1 1.57800- 5 4.10000+ 1 4.10000+ 1 7.94684- 3 3.62100- 5 1 62000 0 0 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 2.57000+ 0 2.50000+ 1 3.43000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 1 62000 0 0 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.68760- 2 3.00000+ 0 7.70230- 3 5.00000+ 0 7.31820- 3 6.00000+ 0 6.70790- 3 8.00000+ 0 1.70010- 3 1.00000+ 1 1.53190- 3 1.10000+ 1 1.40770- 3 1.30000+ 1 1.11290- 3 1.40000+ 1 1.08580- 3 1.60000+ 1 3.42770- 4 1.80000+ 1 2.77430- 4 1.90000+ 1 2.50060- 4 2.10000+ 1 1.41400- 4 2.20000+ 1 1.36520- 4 2.40000+ 1 9.37000- 6 2.50000+ 1 8.75000- 6 2.70000+ 1 4.77400- 5 2.90000+ 1 2.97900- 5 3.00000+ 1 2.60200- 5 4.10000+ 1 5.09000- 6 1 62000 0 0 1.50400+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.09560- 2 3.00000+ 0 1.37490- 2 5.00000+ 0 1.37570- 2 6.00000+ 0 1.15100- 2 8.00000+ 0 4.20650- 3 1.00000+ 1 4.12480- 3 1.10000+ 1 3.60030- 3 1.30000+ 1 3.46730- 3 1.40000+ 1 3.34350- 3 1.60000+ 1 1.29970- 3 1.80000+ 1 1.21410- 3 1.90000+ 1 1.06750- 3 2.10000+ 1 8.99230- 4 2.20000+ 1 8.67180- 4 2.40000+ 1 4.98810- 4 2.50000+ 1 4.88670- 4 2.70000+ 1 2.74680- 4 2.90000+ 1 2.16910- 4 3.00000+ 1 1.86460- 4 4.10000+ 1 2.81500- 5 1 62000 0 0 1.50400+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.20170-10 3.00000+ 0 5.08960-10 5.00000+ 0 4.25160-10 6.00000+ 0 4.60300-10 8.00000+ 0 1.33960- 9 1.00000+ 1 1.28280- 9 1.10000+ 1 1.34960- 9 1.30000+ 1 1.19830- 9 1.40000+ 1 1.21910- 9 1.60000+ 1 3.04140- 9 1.80000+ 1 3.10900- 9 1.90000+ 1 3.26000- 9 2.10000+ 1 3.46580- 9 2.20000+ 1 3.51830- 9 2.40000+ 1 4.80380- 9 2.50000+ 1 4.86950- 9 2.70000+ 1 7.32930- 9 2.90000+ 1 8.21750- 9 3.00000+ 1 8.70020- 9 4.10000+ 1 2.27910- 8 1 62000 0 0 1.50400+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.78240- 5 3.00000+ 0 3.33830- 7 5.00000+ 0 5.68280- 7 6.00000+ 0 5.24010- 7 8.00000+ 0 1.00780- 8 1.00000+ 1 1.02080- 8 1.10000+ 1 1.04320- 8 1.30000+ 1 4.53650- 9 1.40000+ 1 4.25270- 9 1.60000+ 1 2.57960-10 1.80000+ 1 5.14430-10 1.90000+ 1 3.64540-10 2.10000+ 1 2.09700-10 2.20000+ 1 1.92100-10 2.70000+ 1 1.27910-11 1 62000 0 0 1.50400+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.40100- 6 3.00000+ 0 3.99200- 6 5.00000+ 0 2.96330- 6 6.00000+ 0 2.82920- 6 8.00000+ 0 1.50690- 5 1.00000+ 1 7.00930- 6 1.10000+ 1 7.35190- 6 1.30000+ 1 1.17110- 6 1.40000+ 1 8.53900- 7 1.60000+ 1 9.86950- 6 1.80000+ 1 1.20220- 5 1.90000+ 1 6.06330- 6 2.10000+ 1 1.77740- 6 2.20000+ 1 1.47860- 6 2.70000+ 1 5.24020- 7 1 62000 0 0 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.39104- 4 3.00000+ 0 1.69333- 4 5.00000+ 0 1.45525- 4 6.00000+ 0 1.34588- 4 8.00000+ 0 1.24074- 4 1.00000+ 1 1.06875- 4 1.10000+ 1 9.62110- 5 1.30000+ 1 7.18988- 5 1.40000+ 1 6.47703- 5 1.60000+ 1 6.51548- 5 1.80000+ 1 5.69770- 5 1.90000+ 1 4.59598- 5 2.10000+ 1 3.69672- 5 2.20000+ 1 2.75418- 5 2.40000+ 1 9.37000- 6 2.50000+ 1 8.75000- 6 2.70000+ 1 3.24592- 5 2.90000+ 1 2.97900- 5 3.00000+ 1 2.60200- 5 4.10000+ 1 5.09000- 6 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.07788+ 0 3.00000+ 0 1.69973- 1 5.00000+ 0 1.91078- 1 6.00000+ 0 1.59630- 1 8.00000+ 0 8.73776- 3 1.00000+ 1 9.08503- 3 1.10000+ 1 8.63333- 3 1.30000+ 1 7.24721- 3 1.40000+ 1 6.80664- 3 1.60000+ 1 2.90743- 4 1.80000+ 1 3.43679- 4 1.90000+ 1 1.17846- 4 2.10000+ 1 1.35360- 5 2.20000+ 1 1.34885- 5 2.70000+ 1 7.41185- 8 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.89775- 2 3.00000+ 0 9.84509- 4 5.00000+ 0 1.12912- 3 6.00000+ 0 8.54954- 4 8.00000+ 0 8.88915- 6 1.00000+ 1 8.99315- 6 1.10000+ 1 8.55843- 6 1.30000+ 1 6.59258- 6 1.40000+ 1 6.17813- 6 1.60000+ 1 4.69344- 8 1.80000+ 1 5.16106- 8 1.90000+ 1 1.56410- 8 2.10000+ 1 1.58063- 9 2.20000+ 1 1.55019- 9 2.70000+ 1 1.54899-12 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.58786+ 0 3.00000+ 0 1.06071+ 1 5.00000+ 0 8.89872+ 0 6.00000+ 0 8.36899+ 0 8.00000+ 0 7.50518+ 0 1.00000+ 1 6.20254+ 0 1.10000+ 1 5.72128+ 0 1.30000+ 1 3.76623+ 0 1.40000+ 1 3.64643+ 0 1.60000+ 1 3.10701+ 0 1.80000+ 1 2.76445+ 0 1.90000+ 1 2.20168+ 0 2.10000+ 1 1.21416+ 0 2.20000+ 1 1.15514+ 0 2.70000+ 1 1.00000+ 0 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.75940- 3 3.00000+ 0 6.54846- 3 5.00000+ 0 6.04355- 3 6.00000+ 0 5.71836- 3 8.00000+ 0 1.56714- 3 1.00000+ 1 1.41603- 3 1.10000+ 1 1.30293- 3 1.30000+ 1 1.03441- 3 1.40000+ 1 1.01485- 3 1.60000+ 1 2.77568- 4 1.80000+ 1 2.20401- 4 1.90000+ 1 2.04085- 4 2.10000+ 1 1.04431- 4 2.20000+ 1 1.08977- 4 2.70000+ 1 1.52808- 5 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.66251- 1 3.95578- 2 6.00000+ 0 4.81921- 1 4.01681- 2 1.00000+ 1 4.82941- 2 4.53441- 2 1.10000+ 1 9.34372- 2 4.54683- 2 1.30000+ 1 6.80781- 4 4.57631- 2 1.40000+ 1 9.04282- 4 4.57902- 2 1.80000+ 1 1.04730- 2 4.65986- 2 1.90000+ 1 2.03310- 2 4.66259- 2 2.10000+ 1 1.49470- 4 4.67346- 2 2.20000+ 1 1.98030- 4 4.67395- 2 2.90000+ 1 2.11390- 3 4.68462- 2 3.00000+ 1 4.27591- 3 4.68500- 2 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 6.19526- 3 3.14714- 2 3.00000+ 0 5.00000+ 0 7.84522- 3 3.18555- 2 3.00000+ 0 6.00000+ 0 7.76643- 3 3.24658- 2 3.00000+ 0 8.00000+ 0 2.32218- 3 3.74736- 2 3.00000+ 0 1.00000+ 1 1.58645- 3 3.76418- 2 3.00000+ 0 1.10000+ 1 1.61314- 3 3.77660- 2 3.00000+ 0 1.30000+ 1 1.15928- 4 3.80608- 2 3.00000+ 0 1.40000+ 1 1.14545- 4 3.80879- 2 3.00000+ 0 1.60000+ 1 5.37715- 4 3.88309- 2 3.00000+ 0 1.80000+ 1 3.52314- 4 3.88963- 2 3.00000+ 0 1.90000+ 1 3.56181- 4 3.89236- 2 3.00000+ 0 2.10000+ 1 2.50859- 5 3.90323- 2 3.00000+ 0 2.20000+ 1 2.45356- 5 3.90372- 2 3.00000+ 0 2.70000+ 1 8.91831- 5 3.91260- 2 3.00000+ 0 2.90000+ 1 4.74165- 5 3.91439- 2 3.00000+ 0 3.00000+ 1 4.60384- 5 3.91477- 2 3.00000+ 0 4.10000+ 1 7.44347- 6 3.91686- 2 5.00000+ 0 5.00000+ 0 7.83550- 4 3.22396- 2 5.00000+ 0 6.00000+ 0 1.57987- 2 3.28499- 2 5.00000+ 0 8.00000+ 0 1.23217- 3 3.78577- 2 5.00000+ 0 1.00000+ 1 2.81058- 4 3.80259- 2 5.00000+ 0 1.10000+ 1 2.73043- 3 3.81501- 2 5.00000+ 0 1.30000+ 1 1.31495- 4 3.84449- 2 5.00000+ 0 1.40000+ 1 4.17248- 4 3.84720- 2 5.00000+ 0 1.60000+ 1 2.74582- 4 3.92150- 2 5.00000+ 0 1.80000+ 1 6.10631- 5 3.92804- 2 5.00000+ 0 1.90000+ 1 5.80886- 4 3.93077- 2 5.00000+ 0 2.10000+ 1 2.77065- 5 3.94164- 2 5.00000+ 0 2.20000+ 1 8.79427- 5 3.94213- 2 5.00000+ 0 2.40000+ 1 4.13528- 7 3.95484- 2 5.00000+ 0 2.70000+ 1 4.52127- 5 3.95101- 2 5.00000+ 0 2.90000+ 1 8.13285- 6 3.95280- 2 5.00000+ 0 3.00000+ 1 7.47065- 5 3.95318- 2 5.00000+ 0 4.10000+ 1 3.72173- 6 3.95527- 2 6.00000+ 0 6.00000+ 0 7.57176- 3 3.34602- 2 6.00000+ 0 8.00000+ 0 1.16871- 3 3.84680- 2 6.00000+ 0 1.00000+ 1 2.62364- 3 3.86362- 2 6.00000+ 0 1.10000+ 1 2.69416- 3 3.87604- 2 6.00000+ 0 1.30000+ 1 4.87663- 4 3.90552- 2 6.00000+ 0 1.40000+ 1 4.37360- 4 3.90823- 2 6.00000+ 0 1.60000+ 1 2.58021- 4 3.98253- 2 6.00000+ 0 1.80000+ 1 5.60853- 4 3.98907- 2 6.00000+ 0 1.90000+ 1 5.77273- 4 3.99180- 2 6.00000+ 0 2.10000+ 1 1.03372- 4 4.00267- 2 6.00000+ 0 2.20000+ 1 9.24875- 5 4.00316- 2 6.00000+ 0 2.40000+ 1 6.89167- 7 4.01587- 2 6.00000+ 0 2.70000+ 1 4.23160- 5 4.01204- 2 6.00000+ 0 2.90000+ 1 7.49872- 5 4.01383- 2 6.00000+ 0 3.00000+ 1 7.42986- 5 4.01421- 2 6.00000+ 0 4.10000+ 1 3.44593- 6 4.01630- 2 8.00000+ 0 8.00000+ 0 2.14199- 4 4.34758- 2 8.00000+ 0 1.00000+ 1 2.51151- 4 4.36440- 2 8.00000+ 0 1.10000+ 1 2.45083- 4 4.37682- 2 8.00000+ 0 1.30000+ 1 1.68170- 5 4.40630- 2 8.00000+ 0 1.40000+ 1 1.59892- 5 4.40901- 2 8.00000+ 0 1.60000+ 1 9.88260- 5 4.48331- 2 8.00000+ 0 1.80000+ 1 5.58236- 5 4.48985- 2 8.00000+ 0 1.90000+ 1 5.41717- 5 4.49258- 2 8.00000+ 0 2.10000+ 1 3.58382- 6 4.50345- 2 8.00000+ 0 2.20000+ 1 3.44601- 6 4.50394- 2 8.00000+ 0 2.70000+ 1 1.64031- 5 4.51282- 2 8.00000+ 0 2.90000+ 1 7.58118- 6 4.51461- 2 8.00000+ 0 3.00000+ 1 7.02953- 6 4.51499- 2 8.00000+ 0 4.10000+ 1 1.37842- 6 4.51708- 2 1.00000+ 1 1.00000+ 1 2.43987- 5 4.38122- 2 1.00000+ 1 1.10000+ 1 4.62455- 4 4.39364- 2 1.00000+ 1 1.30000+ 1 1.76442- 5 4.42312- 2 1.00000+ 1 1.40000+ 1 5.36204- 5 4.42583- 2 1.00000+ 1 1.60000+ 1 5.61021- 5 4.50013- 2 1.00000+ 1 1.80000+ 1 1.04759- 5 4.50667- 2 1.00000+ 1 1.90000+ 1 9.86911- 5 4.50940- 2 1.00000+ 1 2.10000+ 1 3.72169- 6 4.52027- 2 1.00000+ 1 2.20000+ 1 1.14411- 5 4.52076- 2 1.00000+ 1 2.70000+ 1 9.23498- 6 4.52964- 2 1.00000+ 1 2.90000+ 1 1.37844- 6 4.53143- 2 1.00000+ 1 3.00000+ 1 1.26809- 5 4.53181- 2 1.00000+ 1 4.10000+ 1 8.27047- 7 4.53390- 2 1.10000+ 1 1.10000+ 1 2.40948- 4 4.40606- 2 1.10000+ 1 1.30000+ 1 6.87820- 5 4.43554- 2 1.10000+ 1 1.40000+ 1 6.00991- 5 4.43825- 2 1.10000+ 1 1.60000+ 1 5.41726- 5 4.51255- 2 1.10000+ 1 1.80000+ 1 9.92463- 5 4.51909- 2 1.10000+ 1 1.90000+ 1 1.03376- 4 4.52182- 2 1.10000+ 1 2.10000+ 1 1.47486- 5 4.53269- 2 1.10000+ 1 2.20000+ 1 1.28193- 5 4.53318- 2 1.10000+ 1 2.40000+ 1 1.37844- 7 4.54589- 2 1.10000+ 1 2.70000+ 1 8.95955- 6 4.54206- 2 1.10000+ 1 2.90000+ 1 1.32332- 5 4.54385- 2 1.10000+ 1 3.00000+ 1 1.33705- 5 4.54423- 2 1.10000+ 1 4.10000+ 1 6.89194- 7 4.54632- 2 1.30000+ 1 1.30000+ 1 1.38284- 7 4.46502- 2 1.30000+ 1 1.40000+ 1 8.29691- 6 4.46773- 2 1.30000+ 1 1.60000+ 1 3.73359- 6 4.54203- 2 1.30000+ 1 1.80000+ 1 3.59533- 6 4.54857- 2 1.30000+ 1 1.90000+ 1 1.41050- 5 4.55130- 2 1.30000+ 1 2.20000+ 1 1.65936- 6 4.56266- 2 1.30000+ 1 2.70000+ 1 5.53112- 7 4.57154- 2 1.30000+ 1 2.90000+ 1 4.14845- 7 4.57333- 2 1.30000+ 1 3.00000+ 1 1.79762- 6 4.57371- 2 1.40000+ 1 1.40000+ 1 1.92977- 6 4.47044- 2 1.40000+ 1 1.60000+ 1 3.44602- 6 4.54474- 2 1.40000+ 1 1.80000+ 1 1.08887- 5 4.55128- 2 1.40000+ 1 1.90000+ 1 1.21295- 5 4.55401- 2 1.40000+ 1 2.10000+ 1 1.65405- 6 4.56488- 2 1.40000+ 1 2.20000+ 1 8.27036- 7 4.56537- 2 1.40000+ 1 2.70000+ 1 5.51342- 7 4.57425- 2 1.40000+ 1 2.90000+ 1 1.37842- 6 4.57604- 2 1.40000+ 1 3.00000+ 1 1.51623- 6 4.57642- 2 1.60000+ 1 1.60000+ 1 1.13776- 5 4.61905- 2 1.60000+ 1 1.80000+ 1 1.24740- 5 4.62558- 2 1.60000+ 1 1.90000+ 1 1.19258- 5 4.62832- 2 1.60000+ 1 2.10000+ 1 8.22456- 7 4.63918- 2 1.60000+ 1 2.20000+ 1 6.85368- 7 4.63967- 2 1.60000+ 1 2.70000+ 1 3.70103- 6 4.64855- 2 1.60000+ 1 2.90000+ 1 1.64489- 6 4.65034- 2 1.60000+ 1 3.00000+ 1 1.50784- 6 4.65072- 2 1.60000+ 1 4.10000+ 1 2.74148- 7 4.65281- 2 1.80000+ 1 1.80000+ 1 1.06605- 6 4.63211- 2 1.80000+ 1 1.90000+ 1 2.05199- 5 4.63485- 2 1.80000+ 1 2.10000+ 1 7.99482- 7 4.64572- 2 1.80000+ 1 2.20000+ 1 2.26524- 6 4.64620- 2 1.80000+ 1 2.70000+ 1 1.99870- 6 4.65508- 2 1.80000+ 1 2.90000+ 1 2.66490- 7 4.65688- 2 1.80000+ 1 3.00000+ 1 2.66490- 6 4.65725- 2 1.80000+ 1 4.10000+ 1 1.33250- 7 4.65935- 2 1.90000+ 1 1.90000+ 1 1.09942- 5 4.63759- 2 1.90000+ 1 2.10000+ 1 3.02320- 6 4.64845- 2 1.90000+ 1 2.20000+ 1 2.61093- 6 4.64894- 2 1.90000+ 1 2.70000+ 1 1.92387- 6 4.65782- 2 1.90000+ 1 2.90000+ 1 2.88571- 6 4.65961- 2 1.90000+ 1 3.00000+ 1 2.88571- 6 4.65999- 2 1.90000+ 1 4.10000+ 1 1.37420- 7 4.66208- 2 2.10000+ 1 2.20000+ 1 4.13511- 7 4.65981- 2 2.10000+ 1 2.70000+ 1 1.37840- 7 4.66869- 2 2.10000+ 1 2.90000+ 1 1.37840- 7 4.67048- 2 2.10000+ 1 3.00000+ 1 4.13511- 7 4.67086- 2 2.20000+ 1 2.20000+ 1 1.45270- 7 4.66030- 2 2.20000+ 1 2.70000+ 1 1.45270- 7 4.66917- 2 2.20000+ 1 2.90000+ 1 2.90531- 7 4.67097- 2 2.20000+ 1 3.00000+ 1 2.90531- 7 4.67135- 2 2.70000+ 1 2.70000+ 1 3.28897- 7 4.67805- 2 2.70000+ 1 2.90000+ 1 3.28897- 7 4.67985- 2 2.70000+ 1 3.00000+ 1 3.28897- 7 4.68022- 2 2.90000+ 1 3.00000+ 1 4.13521- 7 4.68202- 2 3.00000+ 1 3.00000+ 1 1.37840- 7 4.68240- 2 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.94711- 5 3.84100- 4 6.00000+ 0 7.57615- 4 9.94400- 4 1.00000+ 1 2.17351- 2 6.17040- 3 1.10000+ 1 3.17062- 2 6.29460- 3 1.30000+ 1 4.33753- 4 6.58940- 3 1.40000+ 1 6.48764- 4 6.61650- 3 1.80000+ 1 5.09003- 3 7.42487- 3 1.90000+ 1 7.71405- 3 7.45224- 3 2.10000+ 1 5.84004- 5 7.56090- 3 2.20000+ 1 8.97756- 5 7.56578- 3 2.90000+ 1 7.20135- 4 7.67251- 3 3.00000+ 1 1.06361- 3 7.67628- 3 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.11884- 2 4.13300- 5 5.00000+ 0 1.80000+ 1 3.86747- 2 1.06670- 4 5.00000+ 0 1.90000+ 1 4.57306- 2 1.34040- 4 5.00000+ 0 2.10000+ 1 1.22184- 2 2.42700- 4 5.00000+ 0 2.20000+ 1 1.90537- 2 2.47580- 4 5.00000+ 0 2.40000+ 1 2.69250- 2 3.74730- 4 5.00000+ 0 2.70000+ 1 8.26883- 3 3.36360- 4 5.00000+ 0 2.90000+ 1 4.91054- 3 3.54310- 4 5.00000+ 0 3.00000+ 1 5.61986- 3 3.58080- 4 5.00000+ 0 4.10000+ 1 6.81420- 4 3.79010- 4 6.00000+ 0 1.60000+ 1 6.02552- 2 6.51630- 4 6.00000+ 0 1.80000+ 1 2.57250- 2 7.16970- 4 6.00000+ 0 1.90000+ 1 4.56796- 2 7.44340- 4 6.00000+ 0 2.10000+ 1 6.44603- 2 8.53000- 4 6.00000+ 0 2.20000+ 1 8.10161- 2 8.57880- 4 6.00000+ 0 2.40000+ 1 3.77610- 2 9.85030- 4 6.00000+ 0 2.70000+ 1 9.60542- 3 9.46660- 4 6.00000+ 0 2.90000+ 1 3.34944- 3 9.64610- 4 6.00000+ 0 3.00000+ 1 5.78719- 3 9.68380- 4 6.00000+ 0 4.10000+ 1 7.92990- 4 9.89310- 4 8.00000+ 0 8.00000+ 0 1.20195- 2 4.30210- 3 8.00000+ 0 1.00000+ 1 2.41025- 2 4.47030- 3 8.00000+ 0 1.10000+ 1 4.31566- 2 4.59450- 3 8.00000+ 0 1.30000+ 1 3.38790- 2 4.88930- 3 8.00000+ 0 1.40000+ 1 4.68699- 2 4.91640- 3 8.00000+ 0 1.60000+ 1 4.73032- 3 5.65943- 3 8.00000+ 0 1.80000+ 1 5.24332- 3 5.72477- 3 8.00000+ 0 1.90000+ 1 9.29165- 3 5.75214- 3 8.00000+ 0 2.10000+ 1 6.15335- 3 5.86080- 3 8.00000+ 0 2.20000+ 1 8.45629- 3 5.86568- 3 8.00000+ 0 2.40000+ 1 2.40229- 4 5.99283- 3 8.00000+ 0 2.70000+ 1 7.65711- 4 5.95446- 3 8.00000+ 0 2.90000+ 1 7.02952- 4 5.97241- 3 8.00000+ 0 3.00000+ 1 1.19671- 3 5.97618- 3 8.00000+ 0 4.10000+ 1 6.33866- 5 5.99711- 3 1.00000+ 1 1.00000+ 1 1.04586- 4 4.63850- 3 1.00000+ 1 1.10000+ 1 7.56177- 4 4.76270- 3 1.00000+ 1 1.30000+ 1 1.16245- 3 5.05750- 3 1.00000+ 1 1.40000+ 1 1.31017- 2 5.08460- 3 1.00000+ 1 1.60000+ 1 3.76688- 3 5.82763- 3 1.00000+ 1 1.80000+ 1 2.02834- 5 5.89297- 3 1.00000+ 1 1.90000+ 1 1.51493- 4 5.92034- 3 1.00000+ 1 2.10000+ 1 2.07902- 4 6.02900- 3 1.00000+ 1 2.20000+ 1 1.54083- 3 6.03388- 3 1.00000+ 1 2.40000+ 1 8.24014- 5 6.16103- 3 1.00000+ 1 2.70000+ 1 5.79351- 4 6.12266- 3 1.00000+ 1 2.90000+ 1 2.53531- 6 6.14061- 3 1.00000+ 1 3.00000+ 1 1.90157- 5 6.14438- 3 1.00000+ 1 4.10000+ 1 4.75389- 5 6.16531- 3 1.10000+ 1 1.10000+ 1 1.03068- 3 4.88690- 3 1.10000+ 1 1.30000+ 1 7.50636- 3 5.18170- 3 1.10000+ 1 1.40000+ 1 4.95365- 3 5.20880- 3 1.10000+ 1 1.60000+ 1 6.73224- 3 5.95183- 3 1.10000+ 1 1.80000+ 1 1.54662- 4 6.01717- 3 1.10000+ 1 1.90000+ 1 3.30244- 4 6.04454- 3 1.10000+ 1 2.10000+ 1 7.07395- 4 6.15320- 3 1.10000+ 1 2.20000+ 1 4.79191- 4 6.15808- 3 1.10000+ 1 2.40000+ 1 2.36446- 4 6.28523- 3 1.10000+ 1 2.70000+ 1 1.03451- 3 6.24686- 3 1.10000+ 1 2.90000+ 1 2.02839- 5 6.26481- 3 1.10000+ 1 3.00000+ 1 4.05680- 5 6.26858- 3 1.10000+ 1 4.10000+ 1 8.49370- 5 6.28951- 3 1.30000+ 1 1.30000+ 1 1.94911- 3 5.47650- 3 1.30000+ 1 1.40000+ 1 6.66378- 2 5.50360- 3 1.30000+ 1 1.60000+ 1 4.96066- 3 6.24663- 3 1.30000+ 1 1.80000+ 1 3.22639- 4 6.31197- 3 1.30000+ 1 1.90000+ 1 1.68539- 3 6.33934- 3 1.30000+ 1 2.10000+ 1 6.97899- 4 6.44800- 3 1.30000+ 1 2.20000+ 1 8.63527- 3 6.45288- 3 1.30000+ 1 2.40000+ 1 2.83339- 4 6.58003- 3 1.30000+ 1 2.70000+ 1 7.54322- 4 6.54166- 3 1.30000+ 1 2.90000+ 1 4.50064- 5 6.55961- 3 1.30000+ 1 3.00000+ 1 2.18048- 4 6.56338- 3 1.30000+ 1 4.10000+ 1 6.21183- 5 6.58431- 3 1.40000+ 1 1.40000+ 1 1.87102- 2 5.53070- 3 1.40000+ 1 1.60000+ 1 6.92011- 3 6.27373- 3 1.40000+ 1 1.80000+ 1 2.57483- 3 6.33907- 3 1.40000+ 1 1.90000+ 1 1.16945- 3 6.36644- 3 1.40000+ 1 2.10000+ 1 8.50606- 3 6.47510- 3 1.40000+ 1 2.20000+ 1 5.09442- 3 6.47998- 3 1.40000+ 1 2.40000+ 1 8.95057- 4 6.60713- 3 1.40000+ 1 2.70000+ 1 1.05539- 3 6.56876- 3 1.40000+ 1 2.90000+ 1 3.39138- 4 6.58671- 3 1.40000+ 1 3.00000+ 1 1.52760- 4 6.59048- 3 1.40000+ 1 4.10000+ 1 8.68422- 5 6.61141- 3 1.60000+ 1 1.60000+ 1 4.40529- 4 7.01676- 3 1.60000+ 1 1.80000+ 1 8.21501- 4 7.08210- 3 1.60000+ 1 1.90000+ 1 1.45220- 3 7.10947- 3 1.60000+ 1 2.10000+ 1 8.98843- 4 7.21813- 3 1.60000+ 1 2.20000+ 1 1.24180- 3 7.22301- 3 1.60000+ 1 2.40000+ 1 2.91580- 5 7.35016- 3 1.60000+ 1 2.70000+ 1 1.40716- 4 7.31179- 3 1.60000+ 1 2.90000+ 1 1.10293- 4 7.32974- 3 1.60000+ 1 3.00000+ 1 1.86990- 4 7.33351- 3 1.60000+ 1 4.10000+ 1 1.14092- 5 7.35444- 3 1.80000+ 1 1.80000+ 1 6.33889- 7 7.14744- 3 1.80000+ 1 1.90000+ 1 3.10597- 5 7.17481- 3 1.80000+ 1 2.10000+ 1 4.88083- 5 7.28347- 3 1.80000+ 1 2.20000+ 1 3.13126- 4 7.28835- 3 1.80000+ 1 2.40000+ 1 1.07764- 5 7.41550- 3 1.80000+ 1 2.70000+ 1 1.26135- 4 7.37713- 3 1.80000+ 1 3.00000+ 1 3.80320- 6 7.39885- 3 1.80000+ 1 4.10000+ 1 1.01416- 5 7.41978- 3 1.90000+ 1 1.90000+ 1 2.59879- 5 7.20218- 3 1.90000+ 1 2.10000+ 1 1.72409- 4 7.31084- 3 1.90000+ 1 2.20000+ 1 1.22346- 4 7.31572- 3 1.90000+ 1 2.40000+ 1 3.99346- 5 7.44287- 3 1.90000+ 1 2.70000+ 1 2.23117- 4 7.40450- 3 1.90000+ 1 2.90000+ 1 4.43705- 6 7.42245- 3 1.90000+ 1 3.00000+ 1 6.33890- 6 7.42622- 3 1.90000+ 1 4.10000+ 1 1.83826- 5 7.44715- 3 2.10000+ 1 2.10000+ 1 5.83175- 5 7.41950- 3 2.10000+ 1 2.20000+ 1 1.18981- 3 7.42438- 3 2.10000+ 1 2.40000+ 1 3.54968- 5 7.55153- 3 2.10000+ 1 2.70000+ 1 1.36284- 4 7.51316- 3 2.10000+ 1 2.90000+ 1 6.97278- 6 7.53111- 3 2.10000+ 1 3.00000+ 1 2.28197- 5 7.53488- 3 2.10000+ 1 4.10000+ 1 1.14093- 5 7.55581- 3 2.20000+ 1 2.20000+ 1 3.68279- 4 7.42926- 3 2.20000+ 1 2.40000+ 1 9.12777- 5 7.55641- 3 2.20000+ 1 2.70000+ 1 1.88895- 4 7.51804- 3 2.20000+ 1 2.90000+ 1 4.12024- 5 7.53599- 3 2.20000+ 1 3.00000+ 1 1.58473- 5 7.53976- 3 2.20000+ 1 4.10000+ 1 1.52134- 5 7.56069- 3 2.40000+ 1 2.40000+ 1 5.51437- 7 7.68356- 3 2.40000+ 1 2.70000+ 1 3.85991- 6 7.64519- 3 2.40000+ 1 2.90000+ 1 1.10281- 6 7.66314- 3 2.40000+ 1 3.00000+ 1 4.41148- 6 7.66691- 3 2.40000+ 1 4.10000+ 1 5.51437- 7 7.68784- 3 2.70000+ 1 2.70000+ 1 1.69043- 5 7.60682- 3 2.70000+ 1 2.90000+ 1 2.53579- 5 7.62477- 3 2.70000+ 1 3.00000+ 1 4.22638- 5 7.62854- 3 2.70000+ 1 4.10000+ 1 2.81753- 6 7.64947- 3 2.90000+ 1 3.00000+ 1 1.75935- 6 7.64649- 3 2.90000+ 1 4.10000+ 1 3.51848- 6 7.66742- 3 3.00000+ 1 3.00000+ 1 4.35304- 7 7.65026- 3 3.00000+ 1 4.10000+ 1 1.74111- 6 7.67119- 3 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 3.69428- 7 6.10300- 4 8.00000+ 0 4.91137- 3 5.61810- 3 1.10000+ 1 9.21354- 5 5.91050- 3 1.30000+ 1 1.26459- 1 6.20530- 3 1.60000+ 1 9.05884- 4 6.97543- 3 1.90000+ 1 1.82499- 5 7.06814- 3 2.10000+ 1 2.17149- 2 7.17680- 3 2.40000+ 1 1.00679- 5 7.30883- 3 2.70000+ 1 1.48559- 4 7.27046- 3 3.00000+ 1 3.89638- 6 7.29218- 3 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 9.38092- 3 2.67530- 4 6.00000+ 0 1.80000+ 1 4.85293- 2 3.32870- 4 6.00000+ 0 1.90000+ 1 1.60790- 2 3.60240- 4 6.00000+ 0 2.10000+ 1 6.07291- 2 4.68900- 4 6.00000+ 0 2.20000+ 1 2.20201- 2 4.73780- 4 6.00000+ 0 2.40000+ 1 1.20527- 3 6.00930- 4 6.00000+ 0 2.70000+ 1 1.40784- 3 5.62560- 4 6.00000+ 0 2.90000+ 1 6.13318- 3 5.80510- 4 6.00000+ 0 3.00000+ 1 2.04852- 3 5.84280- 4 6.00000+ 0 4.10000+ 1 1.15699- 4 6.05210- 4 8.00000+ 0 8.00000+ 0 8.97661- 4 3.91800- 3 8.00000+ 0 1.00000+ 1 2.37857- 2 4.08620- 3 8.00000+ 0 1.10000+ 1 2.30712- 3 4.21040- 3 8.00000+ 0 1.30000+ 1 2.23717- 3 4.50520- 3 8.00000+ 0 1.40000+ 1 3.00131- 3 4.53230- 3 8.00000+ 0 1.60000+ 1 3.25356- 4 5.27533- 3 8.00000+ 0 1.80000+ 1 3.49455- 3 5.34067- 3 8.00000+ 0 1.90000+ 1 4.41086- 4 5.36804- 3 8.00000+ 0 2.10000+ 1 2.91201- 4 5.47670- 3 8.00000+ 0 2.20000+ 1 3.33923- 4 5.48158- 3 8.00000+ 0 2.40000+ 1 6.36765- 5 5.60873- 3 8.00000+ 0 2.70000+ 1 5.20270- 5 5.57036- 3 8.00000+ 0 2.90000+ 1 4.37206- 4 5.58831- 3 8.00000+ 0 3.00000+ 1 5.59112- 5 5.59208- 3 8.00000+ 0 4.10000+ 1 3.88255- 6 5.61301- 3 1.00000+ 1 1.00000+ 1 2.38203- 2 4.25440- 3 1.00000+ 1 1.10000+ 1 7.11284- 2 4.37860- 3 1.00000+ 1 1.30000+ 1 3.80300- 2 4.67340- 3 1.00000+ 1 1.40000+ 1 6.24469- 2 4.70050- 3 1.00000+ 1 1.60000+ 1 5.61983- 3 5.44353- 3 1.00000+ 1 1.80000+ 1 8.82033- 3 5.50887- 3 1.00000+ 1 1.90000+ 1 1.50430- 2 5.53624- 3 1.00000+ 1 2.10000+ 1 6.89888- 3 5.64490- 3 1.00000+ 1 2.20000+ 1 1.13059- 2 5.64978- 3 1.00000+ 1 2.40000+ 1 2.66363- 4 5.77693- 3 1.00000+ 1 2.70000+ 1 9.34964- 4 5.73856- 3 1.00000+ 1 2.90000+ 1 1.15478- 3 5.75651- 3 1.00000+ 1 3.00000+ 1 1.93123- 3 5.76028- 3 1.00000+ 1 4.10000+ 1 7.76562- 5 5.78121- 3 1.10000+ 1 1.10000+ 1 1.81940- 3 4.50280- 3 1.10000+ 1 1.30000+ 1 4.27838- 2 4.79760- 3 1.10000+ 1 1.40000+ 1 5.84251- 3 4.82470- 3 1.10000+ 1 1.60000+ 1 4.65137- 4 5.56773- 3 1.10000+ 1 1.80000+ 1 1.08098- 2 5.63307- 3 1.10000+ 1 1.90000+ 1 6.51512- 4 5.66044- 3 1.10000+ 1 2.10000+ 1 6.59191- 3 5.76910- 3 1.10000+ 1 2.20000+ 1 8.47925- 4 5.77398- 3 1.10000+ 1 2.40000+ 1 1.62298- 4 5.90113- 3 1.10000+ 1 2.70000+ 1 7.53220- 5 5.86276- 3 1.10000+ 1 2.90000+ 1 1.36125- 3 5.88071- 3 1.10000+ 1 3.00000+ 1 8.15342- 5 5.88448- 3 1.10000+ 1 4.10000+ 1 6.21237- 6 5.90541- 3 1.30000+ 1 1.30000+ 1 3.94965- 2 5.09240- 3 1.30000+ 1 1.40000+ 1 1.66193- 1 5.11950- 3 1.30000+ 1 1.60000+ 1 5.34269- 4 5.86253- 3 1.30000+ 1 1.80000+ 1 5.73485- 3 5.92787- 3 1.30000+ 1 1.90000+ 1 8.49393- 3 5.95524- 3 1.30000+ 1 2.10000+ 1 1.21354- 2 6.06390- 3 1.30000+ 1 2.20000+ 1 2.74043- 2 6.06878- 3 1.30000+ 1 2.40000+ 1 1.07395- 3 6.19593- 3 1.30000+ 1 2.70000+ 1 8.93023- 5 6.15756- 3 1.30000+ 1 2.90000+ 1 7.26072- 4 6.17551- 3 1.30000+ 1 3.00000+ 1 1.07869- 3 6.17928- 3 1.30000+ 1 4.10000+ 1 7.76566- 6 6.20021- 3 1.40000+ 1 1.40000+ 1 7.95855- 3 5.14660- 3 1.40000+ 1 1.60000+ 1 5.88617- 4 5.88963- 3 1.40000+ 1 1.80000+ 1 8.35785- 3 5.95497- 3 1.40000+ 1 1.90000+ 1 1.06153- 3 5.98234- 3 1.40000+ 1 2.10000+ 1 2.13708- 2 6.09100- 3 1.40000+ 1 2.20000+ 1 2.38399- 3 6.09588- 3 1.40000+ 1 2.40000+ 1 4.37969- 4 6.22303- 3 1.40000+ 1 2.70000+ 1 9.47381- 5 6.18466- 3 1.40000+ 1 2.90000+ 1 1.02818- 3 6.20261- 3 1.40000+ 1 3.00000+ 1 1.32780- 4 6.20638- 3 1.40000+ 1 4.10000+ 1 7.76545- 6 6.22731- 3 1.60000+ 1 1.60000+ 1 2.87311- 5 6.63266- 3 1.60000+ 1 1.80000+ 1 8.29310- 4 6.69800- 3 1.60000+ 1 1.90000+ 1 8.92972- 5 6.72537- 3 1.60000+ 1 2.10000+ 1 6.67792- 5 6.83403- 3 1.60000+ 1 2.20000+ 1 6.67792- 5 6.83891- 3 1.60000+ 1 2.40000+ 1 1.32000- 5 6.96606- 3 1.60000+ 1 2.70000+ 1 9.31790- 6 6.92769- 3 1.60000+ 1 2.90000+ 1 1.04053- 4 6.94564- 3 1.60000+ 1 3.00000+ 1 1.16480- 5 6.94941- 3 1.60000+ 1 4.10000+ 1 7.76521- 7 6.97034- 3 1.80000+ 1 1.80000+ 1 7.62739- 4 6.76334- 3 1.80000+ 1 1.90000+ 1 2.23953- 3 6.79071- 3 1.80000+ 1 2.10000+ 1 1.00226- 3 6.89937- 3 1.80000+ 1 2.20000+ 1 1.49358- 3 6.90425- 3 1.80000+ 1 2.40000+ 1 3.19382- 5 7.03140- 3 1.80000+ 1 2.70000+ 1 1.35363- 4 6.99303- 3 1.80000+ 1 2.90000+ 1 1.98479- 4 7.01098- 3 1.80000+ 1 3.00000+ 1 2.87464- 4 7.01475- 3 1.80000+ 1 4.10000+ 1 1.14073- 5 7.03568- 3 1.90000+ 1 1.90000+ 1 5.95063- 5 6.81808- 3 1.90000+ 1 2.10000+ 1 1.33101- 3 6.92674- 3 1.90000+ 1 2.20000+ 1 1.59735- 4 6.93162- 3 1.90000+ 1 2.40000+ 1 2.58388- 5 7.05877- 3 1.90000+ 1 2.70000+ 1 1.48771- 5 7.02040- 3 1.90000+ 1 2.90000+ 1 2.90480- 4 7.03835- 3 1.90000+ 1 3.00000+ 1 1.48771- 5 7.04212- 3 1.90000+ 1 4.10000+ 1 1.56595- 6 7.06305- 3 2.10000+ 1 2.10000+ 1 9.21005- 4 7.03540- 3 2.10000+ 1 2.20000+ 1 3.64966- 3 7.04028- 3 2.10000+ 1 2.40000+ 1 1.14923- 4 7.16743- 3 2.10000+ 1 2.70000+ 1 1.08714- 5 7.12906- 3 2.10000+ 1 2.90000+ 1 1.28901- 4 7.14701- 3 2.10000+ 1 3.00000+ 1 1.67733- 4 7.15078- 3 2.10000+ 1 4.10000+ 1 7.76554- 7 7.17171- 3 2.20000+ 1 2.20000+ 1 2.34302- 4 7.04516- 3 2.20000+ 1 2.40000+ 1 6.56442- 5 7.17231- 3 2.20000+ 1 2.70000+ 1 1.41386- 5 7.13394- 3 2.20000+ 1 2.90000+ 1 2.44394- 4 7.15189- 3 2.20000+ 1 3.00000+ 1 2.62574- 5 7.15566- 3 2.20000+ 1 4.10000+ 1 1.00993- 6 7.17659- 3 2.40000+ 1 2.40000+ 1 1.59929- 6 7.29946- 3 2.40000+ 1 2.70000+ 1 2.39894- 6 7.26109- 3 2.40000+ 1 2.90000+ 1 3.99812- 6 7.27904- 3 2.40000+ 1 3.00000+ 1 3.19858- 6 7.28281- 3 2.70000+ 1 2.70000+ 1 1.24994- 6 7.22272- 3 2.70000+ 1 2.90000+ 1 2.74980- 5 7.24067- 3 2.70000+ 1 3.00000+ 1 2.49982- 6 7.24444- 3 2.90000+ 1 2.90000+ 1 2.23481- 5 7.25862- 3 2.90000+ 1 3.00000+ 1 6.31030- 5 7.26239- 3 2.90000+ 1 4.10000+ 1 2.62929- 6 7.28332- 3 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 9.08094- 3 5.00780- 3 1.00000+ 1 5.87386- 5 5.17600- 3 1.10000+ 1 5.36936- 5 5.30020- 3 1.30000+ 1 1.19329- 2 5.59500- 3 1.40000+ 1 1.05569- 1 5.62210- 3 1.60000+ 1 1.12269- 3 6.36513- 3 1.80000+ 1 8.33774- 6 6.43047- 3 1.90000+ 1 8.05344- 6 6.45784- 3 2.10000+ 1 1.96849- 3 6.56650- 3 2.20000+ 1 1.76049- 2 6.57138- 3 2.40000+ 1 1.50069- 6 6.69853- 3 2.50000+ 1 8.59424- 6 6.69915- 3 2.70000+ 1 2.01869- 4 6.66016- 3 2.90000+ 1 1.80079- 6 6.67811- 3 3.00000+ 1 1.55729- 6 6.68188- 3 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.19296- 3 3.30770- 3 8.00000+ 0 1.00000+ 1 7.74006- 4 3.47590- 3 8.00000+ 0 1.10000+ 1 2.68217- 2 3.60010- 3 8.00000+ 0 1.30000+ 1 2.72703- 3 3.89490- 3 8.00000+ 0 1.40000+ 1 3.32477- 3 3.92200- 3 8.00000+ 0 1.60000+ 1 4.33729- 4 4.66503- 3 8.00000+ 0 1.80000+ 1 1.36109- 4 4.73037- 3 8.00000+ 0 1.90000+ 1 3.91686- 3 4.75774- 3 8.00000+ 0 2.10000+ 1 2.51718- 4 4.86640- 3 8.00000+ 0 2.20000+ 1 2.77947- 4 4.87128- 3 8.00000+ 0 2.40000+ 1 8.28123- 5 4.99843- 3 8.00000+ 0 2.70000+ 1 6.88730- 5 4.96006- 3 8.00000+ 0 2.90000+ 1 1.72180- 5 4.97801- 3 8.00000+ 0 3.00000+ 1 4.72264- 4 4.98178- 3 8.00000+ 0 4.10000+ 1 5.73930- 6 5.00271- 3 1.00000+ 1 1.00000+ 1 2.22192- 4 3.64410- 3 1.00000+ 1 1.10000+ 1 4.48307- 2 3.76830- 3 1.00000+ 1 1.30000+ 1 2.73197- 3 4.06310- 3 1.00000+ 1 1.40000+ 1 2.44663- 2 4.09020- 3 1.00000+ 1 1.60000+ 1 1.51689- 4 4.83323- 3 1.00000+ 1 1.80000+ 1 8.03496- 5 4.89857- 3 1.00000+ 1 1.90000+ 1 6.79148- 3 4.92594- 3 1.00000+ 1 2.10000+ 1 4.56683- 4 5.03460- 3 1.00000+ 1 2.20000+ 1 3.49349- 3 5.03948- 3 1.00000+ 1 2.40000+ 1 9.26489- 5 5.16663- 3 1.00000+ 1 2.70000+ 1 2.45977- 5 5.12826- 3 1.00000+ 1 2.90000+ 1 1.06585- 5 5.14621- 3 1.00000+ 1 3.00000+ 1 8.24016- 4 5.14998- 3 1.00000+ 1 4.10000+ 1 1.63985- 6 5.17091- 3 1.10000+ 1 1.10000+ 1 6.13944- 2 3.89250- 3 1.10000+ 1 1.30000+ 1 6.30070- 2 4.18730- 3 1.10000+ 1 1.40000+ 1 9.26580- 2 4.21440- 3 1.10000+ 1 1.60000+ 1 6.26089- 3 4.95743- 3 1.10000+ 1 1.80000+ 1 9.30935- 3 5.02277- 3 1.10000+ 1 1.90000+ 1 2.22094- 2 5.05014- 3 1.10000+ 1 2.10000+ 1 1.09517- 2 5.15880- 3 1.10000+ 1 2.20000+ 1 1.58703- 2 5.16368- 3 1.10000+ 1 2.40000+ 1 4.25527- 4 5.29083- 3 1.10000+ 1 2.70000+ 1 1.03959- 3 5.25246- 3 1.10000+ 1 2.90000+ 1 1.23884- 3 5.27041- 3 1.10000+ 1 3.00000+ 1 2.78697- 3 5.27418- 3 1.10000+ 1 4.10000+ 1 8.60945- 5 5.29511- 3 1.30000+ 1 1.30000+ 1 9.11482- 3 4.48210- 3 1.30000+ 1 1.40000+ 1 1.73532- 1 4.50920- 3 1.30000+ 1 1.60000+ 1 6.02639- 4 5.25223- 3 1.30000+ 1 1.80000+ 1 5.68206- 4 5.31757- 3 1.30000+ 1 1.90000+ 1 8.85817- 3 5.34494- 3 1.30000+ 1 2.10000+ 1 2.77945- 3 5.45360- 3 1.30000+ 1 2.20000+ 1 2.24879- 2 5.45848- 3 1.30000+ 1 2.40000+ 1 2.41045- 4 5.58563- 3 1.30000+ 1 2.70000+ 1 9.92126- 5 5.54726- 3 1.30000+ 1 2.90000+ 1 7.54327- 5 5.56521- 3 1.30000+ 1 3.00000+ 1 1.06100- 3 5.56898- 3 1.30000+ 1 4.10000+ 1 8.19922- 6 5.58991- 3 1.40000+ 1 1.40000+ 1 1.17206- 1 4.53630- 3 1.40000+ 1 1.60000+ 1 7.75642- 4 5.27933- 3 1.40000+ 1 1.80000+ 1 4.70309- 3 5.34467- 3 1.40000+ 1 1.90000+ 1 1.46437- 2 5.37204- 3 1.40000+ 1 2.10000+ 1 2.67604- 2 5.48070- 3 1.40000+ 1 2.20000+ 1 3.41706- 2 5.48558- 3 1.40000+ 1 2.40000+ 1 2.57297- 3 5.61273- 3 1.40000+ 1 2.70000+ 1 1.29543- 4 5.57436- 3 1.40000+ 1 2.90000+ 1 6.17423- 4 5.59231- 3 1.40000+ 1 3.00000+ 1 1.79811- 3 5.59608- 3 1.40000+ 1 4.10000+ 1 1.06587- 5 5.61701- 3 1.60000+ 1 1.60000+ 1 3.93566- 5 6.02236- 3 1.60000+ 1 1.80000+ 1 2.70578- 5 6.08770- 3 1.60000+ 1 1.90000+ 1 9.16717- 4 6.11507- 3 1.60000+ 1 2.10000+ 1 5.98558- 5 6.22373- 3 1.60000+ 1 2.20000+ 1 7.05148- 5 6.22861- 3 1.60000+ 1 2.40000+ 1 1.22997- 5 6.35576- 3 1.60000+ 1 2.70000+ 1 1.22997- 5 6.31739- 3 1.60000+ 1 2.90000+ 1 3.27960- 6 6.33534- 3 1.60000+ 1 3.00000+ 1 1.10690- 4 6.33911- 3 1.60000+ 1 4.10000+ 1 8.19950- 7 6.36004- 3 1.80000+ 1 1.80000+ 1 6.47850- 6 6.15304- 3 1.80000+ 1 1.90000+ 1 1.38961- 3 6.18041- 3 1.80000+ 1 2.10000+ 1 9.15063- 5 6.28907- 3 1.80000+ 1 2.20000+ 1 6.87528- 4 6.29395- 3 1.80000+ 1 2.40000+ 1 1.29570- 5 6.42110- 3 1.80000+ 1 2.70000+ 1 4.04887- 6 6.38273- 3 1.80000+ 1 2.90000+ 1 1.61962- 6 6.40068- 3 1.80000+ 1 3.00000+ 1 1.68439- 4 6.40445- 3 1.90000+ 1 1.90000+ 1 1.80286- 3 6.20778- 3 1.90000+ 1 2.10000+ 1 1.43498- 3 6.31644- 3 1.90000+ 1 2.20000+ 1 2.30288- 3 6.32132- 3 1.90000+ 1 2.40000+ 1 4.57961- 5 6.44847- 3 1.90000+ 1 2.70000+ 1 1.41975- 4 6.41010- 3 1.90000+ 1 2.90000+ 1 1.74030- 4 6.42805- 3 1.90000+ 1 3.00000+ 1 4.49579- 4 6.43182- 3 1.90000+ 1 4.10000+ 1 1.14499- 5 6.45275- 3 2.10000+ 1 2.10000+ 1 2.05804- 4 6.42510- 3 2.10000+ 1 2.20000+ 1 3.58392- 3 6.42998- 3 2.10000+ 1 2.40000+ 1 2.54172- 5 6.55713- 3 2.10000+ 1 2.70000+ 1 9.83857- 6 6.51876- 3 2.10000+ 1 2.90000+ 1 1.22993- 5 6.53671- 3 2.10000+ 1 3.00000+ 1 1.84476- 4 6.54048- 3 2.10000+ 1 4.10000+ 1 8.19925- 7 6.56141- 3 2.20000+ 1 2.20000+ 1 2.73596- 3 6.43486- 3 2.20000+ 1 2.40000+ 1 2.92327- 4 6.56201- 3 2.20000+ 1 2.70000+ 1 1.25543- 5 6.52364- 3 2.20000+ 1 2.90000+ 1 1.00433- 4 6.54159- 3 2.20000+ 1 3.00000+ 1 3.30904- 4 6.54536- 3 2.20000+ 1 4.10000+ 1 8.96738- 7 6.56629- 3 2.40000+ 1 2.70000+ 1 1.60417- 6 6.65079- 3 2.40000+ 1 2.90000+ 1 1.60417- 6 6.66874- 3 2.40000+ 1 3.00000+ 1 5.61440- 6 6.67251- 3 2.70000+ 1 2.70000+ 1 1.25353- 6 6.61242- 3 2.70000+ 1 2.90000+ 1 1.25353- 6 6.63037- 3 2.70000+ 1 3.00000+ 1 2.75777- 5 6.63414- 3 2.90000+ 1 3.00000+ 1 4.36427- 5 6.65209- 3 3.00000+ 1 3.00000+ 1 7.83512- 5 6.65586- 3 3.00000+ 1 4.10000+ 1 4.23526- 6 6.67679- 3 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.02090- 5 1.68200- 4 1.10000+ 1 1.09270- 4 2.92400- 4 1.80000+ 1 3.82760- 4 1.42267- 3 1.90000+ 1 4.63431- 4 1.45004- 3 2.90000+ 1 8.44635- 5 1.67031- 3 3.00000+ 1 9.55501- 5 1.67408- 3 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 7.84286- 2 2.68000- 5 1.00000+ 1 2.20000+ 1 1.09929- 1 3.16800- 5 1.00000+ 1 2.40000+ 1 1.93669- 2 1.58830- 4 1.00000+ 1 2.50000+ 1 2.59557- 2 1.59450- 4 1.00000+ 1 2.70000+ 1 8.92089- 3 1.20460- 4 1.00000+ 1 2.90000+ 1 7.43857- 3 1.38410- 4 1.00000+ 1 3.00000+ 1 1.16939- 2 1.42180- 4 1.00000+ 1 4.10000+ 1 7.23093- 4 1.63110- 4 1.10000+ 1 1.80000+ 1 7.70484- 2 1.49700- 5 1.10000+ 1 1.90000+ 1 1.09317- 1 4.23400- 5 1.10000+ 1 2.10000+ 1 4.93649- 2 1.51000- 4 1.10000+ 1 2.20000+ 1 7.09050- 2 1.55880- 4 1.10000+ 1 2.40000+ 1 5.05602- 2 2.83030- 4 1.10000+ 1 2.50000+ 1 6.36088- 2 2.83650- 4 1.10000+ 1 2.70000+ 1 1.13251- 2 2.44660- 4 1.10000+ 1 2.90000+ 1 9.57293- 3 2.62610- 4 1.10000+ 1 3.00000+ 1 1.34838- 2 2.66380- 4 1.10000+ 1 4.10000+ 1 9.17568- 4 2.87310- 4 1.30000+ 1 1.60000+ 1 2.81013- 2 2.44430- 4 1.30000+ 1 1.80000+ 1 6.17410- 3 3.09770- 4 1.30000+ 1 1.90000+ 1 5.24994- 3 3.37140- 4 1.30000+ 1 2.10000+ 1 8.84678- 3 4.45800- 4 1.30000+ 1 2.20000+ 1 1.11026- 2 4.50680- 4 1.30000+ 1 2.40000+ 1 2.51464- 3 5.77830- 4 1.30000+ 1 2.50000+ 1 2.43724- 3 5.78450- 4 1.30000+ 1 2.70000+ 1 3.13111- 3 5.39460- 4 1.30000+ 1 2.90000+ 1 6.47734- 4 5.57410- 4 1.30000+ 1 3.00000+ 1 5.21726- 4 5.61180- 4 1.30000+ 1 4.10000+ 1 2.46864- 4 5.82110- 4 1.40000+ 1 1.60000+ 1 4.06710- 2 2.71530- 4 1.40000+ 1 1.80000+ 1 1.35329- 3 3.36870- 4 1.40000+ 1 1.90000+ 1 1.18943- 2 3.64240- 4 1.40000+ 1 2.10000+ 1 1.18888- 2 4.72900- 4 1.40000+ 1 2.20000+ 1 1.80793- 2 4.77780- 4 1.40000+ 1 2.40000+ 1 2.94288- 3 6.04930- 4 1.40000+ 1 2.50000+ 1 4.52468- 3 6.05550- 4 1.40000+ 1 2.70000+ 1 4.49181- 3 5.66560- 4 1.40000+ 1 2.90000+ 1 1.39015- 4 5.84510- 4 1.40000+ 1 3.00000+ 1 1.18241- 3 5.88280- 4 1.40000+ 1 4.10000+ 1 3.54208- 4 6.09210- 4 1.60000+ 1 1.60000+ 1 5.63204- 3 1.01456- 3 1.60000+ 1 1.80000+ 1 9.39756- 3 1.07990- 3 1.60000+ 1 1.90000+ 1 1.68948- 2 1.10727- 3 1.60000+ 1 2.10000+ 1 1.80658- 2 1.21593- 3 1.60000+ 1 2.20000+ 1 2.61234- 2 1.22081- 3 1.60000+ 1 2.40000+ 1 3.16787- 3 1.34796- 3 1.60000+ 1 2.50000+ 1 4.02621- 3 1.34858- 3 1.60000+ 1 2.70000+ 1 1.55145- 3 1.30959- 3 1.60000+ 1 2.90000+ 1 1.25525- 3 1.32754- 3 1.60000+ 1 3.00000+ 1 2.16791- 3 1.33131- 3 1.60000+ 1 4.10000+ 1 1.26433- 4 1.35224- 3 1.80000+ 1 1.80000+ 1 4.74302- 4 1.14524- 3 1.80000+ 1 1.90000+ 1 1.19993- 3 1.17261- 3 1.80000+ 1 2.10000+ 1 7.13889- 4 1.28127- 3 1.80000+ 1 2.20000+ 1 3.47911- 4 1.28615- 3 1.80000+ 1 2.40000+ 1 5.51397- 5 1.41330- 3 1.80000+ 1 2.50000+ 1 2.13729- 4 1.41392- 3 1.80000+ 1 2.70000+ 1 9.92550- 4 1.37493- 3 1.80000+ 1 2.90000+ 1 1.01499- 4 1.39288- 3 1.80000+ 1 3.00000+ 1 1.21020- 4 1.39665- 3 1.80000+ 1 4.10000+ 1 7.80760- 5 1.41758- 3 1.90000+ 1 1.90000+ 1 1.54757- 3 1.19998- 3 1.90000+ 1 2.10000+ 1 9.00123- 4 1.30864- 3 1.90000+ 1 2.20000+ 1 2.27721- 3 1.31352- 3 1.90000+ 1 2.40000+ 1 2.15171- 4 1.44067- 3 1.90000+ 1 2.50000+ 1 3.96626- 4 1.44129- 3 1.90000+ 1 2.70000+ 1 1.74233- 3 1.40230- 3 1.90000+ 1 2.90000+ 1 1.31578- 4 1.42025- 3 1.90000+ 1 3.00000+ 1 3.34401- 4 1.42402- 3 1.90000+ 1 4.10000+ 1 1.37277- 4 1.44495- 3 2.10000+ 1 2.10000+ 1 2.11319- 4 1.41730- 3 2.10000+ 1 2.20000+ 1 9.66548- 4 1.42218- 3 2.10000+ 1 2.40000+ 1 2.04500- 4 1.54933- 3 2.10000+ 1 2.50000+ 1 1.53967- 3 1.54995- 3 2.10000+ 1 2.70000+ 1 1.87714- 3 1.51096- 3 2.10000+ 1 2.90000+ 1 6.96289- 5 1.52891- 3 2.10000+ 1 3.00000+ 1 9.34899- 5 1.53268- 3 2.10000+ 1 4.10000+ 1 1.47537- 4 1.55361- 3 2.20000+ 1 2.20000+ 1 5.51120- 4 1.42706- 3 2.20000+ 1 2.40000+ 1 1.53650- 3 1.55421- 3 2.20000+ 1 2.50000+ 1 8.69910- 4 1.55483- 3 2.20000+ 1 2.70000+ 1 2.68950- 3 1.51584- 3 2.20000+ 1 2.90000+ 1 3.42931- 5 1.53379- 3 2.20000+ 1 3.00000+ 1 2.34739- 4 1.53756- 3 2.20000+ 1 4.10000+ 1 2.11557- 4 1.55849- 3 2.40000+ 1 2.40000+ 1 5.11615- 5 1.68136- 3 2.40000+ 1 2.50000+ 1 5.56896- 4 1.68198- 3 2.40000+ 1 2.70000+ 1 3.06471- 4 1.64299- 3 2.40000+ 1 2.90000+ 1 5.41165- 6 1.66094- 3 2.40000+ 1 3.00000+ 1 2.06611- 5 1.66471- 3 2.40000+ 1 4.10000+ 1 2.41054- 5 1.68564- 3 2.50000+ 1 2.50000+ 1 1.41473- 4 1.68260- 3 2.50000+ 1 2.70000+ 1 3.86359- 4 1.64361- 3 2.50000+ 1 2.90000+ 1 2.58559- 5 1.66156- 3 2.50000+ 1 3.00000+ 1 3.65867- 5 1.66533- 3 2.50000+ 1 4.10000+ 1 3.02474- 5 1.68626- 3 2.70000+ 1 2.70000+ 1 1.04371- 4 1.60462- 3 2.70000+ 1 2.90000+ 1 1.43184- 4 1.62257- 3 2.70000+ 1 3.00000+ 1 2.47025- 4 1.62634- 3 2.70000+ 1 4.10000+ 1 1.67832- 5 1.64727- 3 2.90000+ 1 2.90000+ 1 5.68038- 6 1.64052- 3 2.90000+ 1 3.00000+ 1 1.39422- 5 1.64429- 3 2.90000+ 1 4.10000+ 1 1.08440- 5 1.66522- 3 3.00000+ 1 3.00000+ 1 2.25072- 5 1.64806- 3 3.00000+ 1 4.10000+ 1 2.25072- 5 1.66899- 3 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.76616- 4 4.19000- 4 1.60000+ 1 3.97059- 4 1.18913- 3 2.10000+ 1 1.89628- 3 1.39050- 3 2.70000+ 1 7.03660- 5 1.48416- 3 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.40000+ 1 1.48927- 2 1.14830- 4 1.10000+ 1 2.50000+ 1 1.71625- 2 1.15450- 4 1.10000+ 1 2.70000+ 1 6.20256- 3 7.64600- 5 1.10000+ 1 2.90000+ 1 6.21881- 3 9.44100- 5 1.10000+ 1 3.00000+ 1 6.70369- 3 9.81800- 5 1.10000+ 1 4.10000+ 1 4.84201- 4 1.19110- 4 1.30000+ 1 1.60000+ 1 9.39764- 2 7.62300- 5 1.30000+ 1 1.80000+ 1 9.40972- 2 1.41570- 4 1.30000+ 1 1.90000+ 1 1.26825- 1 1.68940- 4 1.30000+ 1 2.10000+ 1 4.12282- 2 2.77600- 4 1.30000+ 1 2.20000+ 1 4.67448- 2 2.82480- 4 1.30000+ 1 2.40000+ 1 7.10973- 2 4.09630- 4 1.30000+ 1 2.50000+ 1 1.06932- 1 4.10250- 4 1.30000+ 1 2.70000+ 1 1.55224- 2 3.71260- 4 1.30000+ 1 2.90000+ 1 1.08845- 2 3.89210- 4 1.30000+ 1 3.00000+ 1 1.55076- 2 3.92980- 4 1.30000+ 1 4.10000+ 1 1.29248- 3 4.13910- 4 1.40000+ 1 1.60000+ 1 1.58551- 2 1.03330- 4 1.40000+ 1 1.80000+ 1 1.09663- 1 1.68670- 4 1.40000+ 1 1.90000+ 1 1.08261- 2 1.96040- 4 1.40000+ 1 2.10000+ 1 1.85622- 3 3.04700- 4 1.40000+ 1 2.20000+ 1 5.39009- 3 3.09580- 4 1.40000+ 1 2.40000+ 1 2.10577- 3 4.36730- 4 1.40000+ 1 2.50000+ 1 1.73308- 3 4.37350- 4 1.40000+ 1 2.70000+ 1 1.74060- 3 3.98360- 4 1.40000+ 1 2.90000+ 1 1.03200- 2 4.16310- 4 1.40000+ 1 3.00000+ 1 1.21143- 3 4.20080- 4 1.40000+ 1 4.10000+ 1 1.37887- 4 4.41010- 4 1.60000+ 1 1.60000+ 1 8.13030- 4 8.46360- 4 1.60000+ 1 1.80000+ 1 1.12703- 2 9.11700- 4 1.60000+ 1 1.90000+ 1 1.80644- 3 9.39070- 4 1.60000+ 1 2.10000+ 1 3.77558- 4 1.04773- 3 1.60000+ 1 2.20000+ 1 1.28792- 3 1.05261- 3 1.60000+ 1 2.40000+ 1 4.12672- 5 1.17976- 3 1.60000+ 1 2.50000+ 1 2.47600- 4 1.18038- 3 1.60000+ 1 2.70000+ 1 2.11882- 4 1.14139- 3 1.60000+ 1 2.90000+ 1 1.01938- 3 1.15934- 3 1.60000+ 1 3.00000+ 1 2.08800- 4 1.16311- 3 1.60000+ 1 4.10000+ 1 1.66312- 5 1.18404- 3 1.80000+ 1 1.80000+ 1 8.57028- 3 9.77040- 4 1.80000+ 1 1.90000+ 1 2.60976- 2 1.00441- 3 1.80000+ 1 2.10000+ 1 2.42249- 2 1.11307- 3 1.80000+ 1 2.20000+ 1 3.99611- 2 1.11795- 3 1.80000+ 1 2.40000+ 1 3.54627- 3 1.24510- 3 1.80000+ 1 2.50000+ 1 6.15930- 3 1.24572- 3 1.80000+ 1 2.70000+ 1 1.91904- 3 1.20673- 3 1.80000+ 1 2.90000+ 1 1.94322- 3 1.22468- 3 1.80000+ 1 3.00000+ 1 3.32117- 3 1.22845- 3 1.80000+ 1 4.10000+ 1 1.59336- 4 1.24938- 3 1.90000+ 1 1.90000+ 1 7.70859- 4 1.03178- 3 1.90000+ 1 2.10000+ 1 2.27519- 3 1.14044- 3 1.90000+ 1 2.20000+ 1 1.75866- 3 1.14532- 3 1.90000+ 1 2.40000+ 1 2.75330- 3 1.27247- 3 1.90000+ 1 2.50000+ 1 8.02153- 4 1.27309- 3 1.90000+ 1 2.70000+ 1 2.20446- 4 1.23410- 3 1.90000+ 1 2.90000+ 1 2.57461- 3 1.25205- 3 1.90000+ 1 3.00000+ 1 1.65329- 4 1.25582- 3 1.90000+ 1 4.10000+ 1 1.76883- 5 1.27675- 3 2.10000+ 1 2.10000+ 1 8.20273- 4 1.24910- 3 2.10000+ 1 2.20000+ 1 2.36314- 3 1.25398- 3 2.10000+ 1 2.40000+ 1 3.31537- 4 1.38113- 3 2.10000+ 1 2.50000+ 1 6.00949- 4 1.38175- 3 2.10000+ 1 2.70000+ 1 5.70517- 5 1.34276- 3 2.10000+ 1 2.90000+ 1 2.18393- 3 1.36071- 3 2.10000+ 1 3.00000+ 1 2.28204- 4 1.36448- 3 2.10000+ 1 4.10000+ 1 5.07134- 6 1.38541- 3 2.20000+ 1 2.20000+ 1 5.34289- 4 1.25886- 3 2.20000+ 1 2.40000+ 1 1.12306- 3 1.38601- 3 2.20000+ 1 2.50000+ 1 2.35624- 4 1.38663- 3 2.20000+ 1 2.70000+ 1 1.64024- 4 1.34764- 3 2.20000+ 1 2.90000+ 1 3.52945- 3 1.36559- 3 2.20000+ 1 3.00000+ 1 1.57899- 4 1.36936- 3 2.20000+ 1 4.10000+ 1 1.34645- 5 1.39029- 3 2.40000+ 1 2.40000+ 1 1.56575- 4 1.51316- 3 2.40000+ 1 2.50000+ 1 1.40325- 3 1.51378- 3 2.40000+ 1 2.70000+ 1 2.40890- 6 1.47479- 3 2.40000+ 1 2.90000+ 1 2.78239- 4 1.49274- 3 2.40000+ 1 3.00000+ 1 2.89083- 4 1.49651- 3 2.50000+ 1 2.50000+ 1 5.89518- 5 1.51440- 3 2.50000+ 1 2.70000+ 1 3.39422- 5 1.47541- 3 2.50000+ 1 2.90000+ 1 4.78747- 4 1.49336- 3 2.50000+ 1 3.00000+ 1 7.50275- 5 1.49713- 3 2.50000+ 1 4.10000+ 1 2.97731- 6 1.51806- 3 2.70000+ 1 2.70000+ 1 1.38018- 5 1.43642- 3 2.70000+ 1 2.90000+ 1 1.71274- 4 1.45437- 3 2.70000+ 1 3.00000+ 1 2.38404- 5 1.45814- 3 2.70000+ 1 4.10000+ 1 2.50929- 6 1.47907- 3 2.90000+ 1 2.90000+ 1 1.55732- 4 1.47232- 3 2.90000+ 1 3.00000+ 1 4.56817- 4 1.47609- 3 2.90000+ 1 4.10000+ 1 2.17082- 5 1.49702- 3 3.00000+ 1 3.00000+ 1 2.75843- 5 1.47986- 3 3.00000+ 1 4.10000+ 1 6.36543- 6 1.50079- 3 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.81716- 5 2.94800- 4 1.40000+ 1 2.19940- 4 3.21900- 4 1.60000+ 1 5.43516- 4 1.06493- 3 2.10000+ 1 2.47485- 4 1.26630- 3 2.20000+ 1 2.01118- 3 1.27118- 3 2.70000+ 1 9.77374- 5 1.35996- 3 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.80000+ 1 1.52670- 2 1.73700- 5 1.30000+ 1 1.90000+ 1 8.03410- 2 4.47400- 5 1.30000+ 1 2.10000+ 1 1.24393- 2 1.53400- 4 1.30000+ 1 2.20000+ 1 1.05122- 2 1.58280- 4 1.30000+ 1 2.40000+ 1 7.56722- 3 2.85430- 4 1.30000+ 1 2.50000+ 1 1.11873- 2 2.86050- 4 1.30000+ 1 2.70000+ 1 2.72408- 3 2.47060- 4 1.30000+ 1 2.90000+ 1 1.87734- 3 2.65010- 4 1.30000+ 1 3.00000+ 1 7.90681- 3 2.68780- 4 1.30000+ 1 4.10000+ 1 2.18664- 4 2.89710- 4 1.40000+ 1 1.80000+ 1 1.03819- 1 4.44700- 5 1.40000+ 1 1.90000+ 1 1.81051- 1 7.18400- 5 1.40000+ 1 2.10000+ 1 5.37899- 2 1.80500- 4 1.40000+ 1 2.20000+ 1 8.19178- 2 1.85380- 4 1.40000+ 1 2.40000+ 1 7.26520- 2 3.12530- 4 1.40000+ 1 2.50000+ 1 8.65464- 2 3.13150- 4 1.40000+ 1 2.70000+ 1 1.58405- 2 2.74160- 4 1.40000+ 1 2.90000+ 1 1.28432- 2 2.92110- 4 1.40000+ 1 3.00000+ 1 2.04463- 2 2.95880- 4 1.40000+ 1 4.10000+ 1 1.28484- 3 3.16810- 4 1.60000+ 1 1.60000+ 1 7.51239- 4 7.22160- 4 1.60000+ 1 1.80000+ 1 1.11848- 3 7.87500- 4 1.60000+ 1 1.90000+ 1 1.64503- 2 8.14870- 4 1.60000+ 1 2.10000+ 1 9.89144- 4 9.23530- 4 1.60000+ 1 2.20000+ 1 1.07295- 3 9.28410- 4 1.60000+ 1 2.40000+ 1 3.81613- 4 1.05556- 3 1.60000+ 1 2.50000+ 1 5.78004- 4 1.05618- 3 1.60000+ 1 2.70000+ 1 1.94794- 4 1.01719- 3 1.60000+ 1 2.90000+ 1 1.22942- 4 1.03514- 3 1.60000+ 1 3.00000+ 1 1.46014- 3 1.03891- 3 1.60000+ 1 4.10000+ 1 1.59665- 5 1.05984- 3 1.80000+ 1 1.80000+ 1 1.58803- 4 8.52840- 4 1.80000+ 1 1.90000+ 1 1.96491- 2 8.80210- 4 1.80000+ 1 2.10000+ 1 5.00959- 4 9.88870- 4 1.80000+ 1 2.20000+ 1 3.49868- 3 9.93750- 4 1.80000+ 1 2.40000+ 1 4.26498- 4 1.12090- 3 1.80000+ 1 2.50000+ 1 2.53526- 3 1.12152- 3 1.80000+ 1 2.70000+ 1 1.31790- 4 1.08253- 3 1.80000+ 1 2.90000+ 1 3.19238- 5 1.10048- 3 1.80000+ 1 3.00000+ 1 1.76564- 3 1.10425- 3 1.80000+ 1 4.10000+ 1 1.06415- 5 1.12518- 3 1.90000+ 1 1.90000+ 1 2.68767- 2 9.07580- 4 1.90000+ 1 2.10000+ 1 3.65503- 2 1.01624- 3 1.90000+ 1 2.20000+ 1 4.91615- 2 1.02112- 3 1.90000+ 1 2.40000+ 1 7.55095- 3 1.14827- 3 1.90000+ 1 2.50000+ 1 8.59827- 3 1.14889- 3 1.90000+ 1 2.70000+ 1 2.59524- 3 1.10990- 3 1.90000+ 1 2.90000+ 1 2.46772- 3 1.12785- 3 1.90000+ 1 3.00000+ 1 5.82582- 3 1.13162- 3 1.90000+ 1 4.10000+ 1 2.14964- 4 1.15255- 3 2.10000+ 1 2.10000+ 1 2.42563- 4 1.12490- 3 2.10000+ 1 2.20000+ 1 4.13465- 3 1.12978- 3 2.10000+ 1 2.40000+ 1 1.60700- 4 1.25693- 3 2.10000+ 1 2.50000+ 1 2.02085- 3 1.25755- 3 2.10000+ 1 2.70000+ 1 1.01574- 4 1.21856- 3 2.10000+ 1 2.90000+ 1 3.79010- 5 1.23651- 3 2.10000+ 1 3.00000+ 1 3.15922- 3 1.24028- 3 2.10000+ 1 4.10000+ 1 8.33801- 6 1.26121- 3 2.20000+ 1 2.20000+ 1 2.03367- 3 1.13466- 3 2.20000+ 1 2.40000+ 1 1.51466- 3 1.26181- 3 2.20000+ 1 2.50000+ 1 1.34530- 3 1.26243- 3 2.20000+ 1 2.70000+ 1 1.09493- 4 1.22344- 3 2.20000+ 1 2.90000+ 1 2.67160- 4 1.24139- 3 2.20000+ 1 3.00000+ 1 4.05509- 3 1.24516- 3 2.20000+ 1 4.10000+ 1 8.75961- 6 1.26609- 3 2.40000+ 1 2.40000+ 1 4.90361- 5 1.38896- 3 2.40000+ 1 2.50000+ 1 1.86939- 3 1.38958- 3 2.40000+ 1 2.70000+ 1 3.84712- 5 1.35059- 3 2.40000+ 1 2.90000+ 1 4.37557- 5 1.36854- 3 2.40000+ 1 3.00000+ 1 6.17075- 4 1.37231- 3 2.40000+ 1 4.10000+ 1 3.01740- 6 1.39324- 3 2.50000+ 1 2.50000+ 1 5.81964- 4 1.39020- 3 2.50000+ 1 2.70000+ 1 4.66788- 5 1.35121- 3 2.50000+ 1 2.90000+ 1 2.60498- 4 1.36916- 3 2.50000+ 1 3.00000+ 1 7.18997- 4 1.37293- 3 2.50000+ 1 4.10000+ 1 3.76447- 6 1.39386- 3 2.70000+ 1 2.70000+ 1 1.51934- 5 1.31222- 3 2.70000+ 1 2.90000+ 1 1.70927- 5 1.33017- 3 2.70000+ 1 3.00000+ 1 2.80156- 4 1.33394- 3 2.70000+ 1 4.10000+ 1 2.84882- 6 1.35487- 3 2.90000+ 1 2.90000+ 1 2.38165- 6 1.34812- 3 2.90000+ 1 3.00000+ 1 3.39377- 4 1.35189- 3 2.90000+ 1 4.10000+ 1 1.19086- 6 1.37282- 3 3.00000+ 1 3.00000+ 1 8.02920- 4 1.35566- 3 3.00000+ 1 4.10000+ 1 4.92882- 5 1.37659- 3 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.90345- 3 8.35470- 4 1.90000+ 1 5.36461- 4 8.62840- 4 2.40000+ 1 1.34573- 3 1.10353- 3 2.90000+ 1 6.80961- 4 1.08311- 3 3.00000+ 1 9.54735- 5 1.08688- 3 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 7.12296- 2 1.77300- 5 1.40000+ 1 2.50000+ 1 1.09689- 2 1.83500- 5 1.40000+ 1 3.00000+ 1 2.85994- 3 1.08000- 6 1.40000+ 1 4.10000+ 1 2.39073- 4 2.20100- 5 1.60000+ 1 1.60000+ 1 2.06675- 5 4.27360- 4 1.60000+ 1 1.80000+ 1 3.42197- 3 4.92700- 4 1.60000+ 1 1.90000+ 1 2.38566- 3 5.20070- 4 1.60000+ 1 2.10000+ 1 7.90344- 2 6.28730- 4 1.60000+ 1 2.20000+ 1 1.00330- 2 6.33610- 4 1.60000+ 1 2.40000+ 1 7.96609- 3 7.60760- 4 1.60000+ 1 2.50000+ 1 2.72216- 3 7.61380- 4 1.60000+ 1 2.70000+ 1 2.65736- 5 7.22390- 4 1.60000+ 1 2.90000+ 1 3.57273- 4 7.40340- 4 1.60000+ 1 3.00000+ 1 1.94876- 4 7.44110- 4 1.60000+ 1 4.10000+ 1 2.95254- 6 7.65040- 4 1.80000+ 1 1.80000+ 1 1.73597- 3 5.58040- 4 1.80000+ 1 1.90000+ 1 1.21280- 2 5.85410- 4 1.80000+ 1 2.10000+ 1 6.66824- 2 6.94070- 4 1.80000+ 1 2.20000+ 1 5.74528- 3 6.98950- 4 1.80000+ 1 2.40000+ 1 5.15192- 3 8.26100- 4 1.80000+ 1 2.50000+ 1 2.88163- 3 8.26720- 4 1.80000+ 1 2.70000+ 1 3.57244- 4 7.87730- 4 1.80000+ 1 2.90000+ 1 3.77895- 4 8.05680- 4 1.80000+ 1 3.00000+ 1 1.16615- 3 8.09450- 4 1.80000+ 1 4.10000+ 1 2.65715- 5 8.30380- 4 1.90000+ 1 1.90000+ 1 4.48472- 3 6.12780- 4 1.90000+ 1 2.10000+ 1 1.44546- 1 7.21440- 4 1.90000+ 1 2.20000+ 1 5.41180- 3 7.26320- 4 1.90000+ 1 2.40000+ 1 3.58724- 3 8.53470- 4 1.90000+ 1 2.50000+ 1 1.67099- 3 8.54090- 4 1.90000+ 1 2.70000+ 1 2.83429- 4 8.15100- 4 1.90000+ 1 2.90000+ 1 1.12778- 3 8.33050- 4 1.90000+ 1 3.00000+ 1 8.32593- 4 8.36820- 4 1.90000+ 1 4.10000+ 1 2.36194- 5 8.57750- 4 2.10000+ 1 2.10000+ 1 1.19872- 1 8.30100- 4 2.10000+ 1 2.20000+ 1 2.44656- 1 8.34980- 4 2.10000+ 1 2.40000+ 1 2.97833- 2 9.62130- 4 2.10000+ 1 2.50000+ 1 3.89097- 2 9.62750- 4 2.10000+ 1 2.70000+ 1 1.17538- 2 9.23760- 4 2.10000+ 1 2.90000+ 1 8.80094- 3 9.41710- 4 2.10000+ 1 3.00000+ 1 1.79337- 2 9.45480- 4 2.10000+ 1 4.10000+ 1 9.65424- 4 9.66410- 4 2.20000+ 1 2.20000+ 1 4.01821- 3 8.39860- 4 2.20000+ 1 2.40000+ 1 2.90427- 2 9.67010- 4 2.20000+ 1 2.50000+ 1 1.75974- 3 9.67630- 4 2.20000+ 1 2.70000+ 1 8.47341- 4 9.28640- 4 2.20000+ 1 2.90000+ 1 5.07818- 4 9.46590- 4 2.20000+ 1 3.00000+ 1 5.49158- 4 9.50360- 4 2.20000+ 1 4.10000+ 1 6.49543- 5 9.71290- 4 2.40000+ 1 2.40000+ 1 5.97010- 3 1.09416- 3 2.40000+ 1 2.50000+ 1 2.39039- 2 1.09478- 3 2.40000+ 1 2.70000+ 1 1.20110- 3 1.05579- 3 2.40000+ 1 2.90000+ 1 5.45694- 4 1.07374- 3 2.40000+ 1 3.00000+ 1 4.27058- 4 1.07751- 3 2.40000+ 1 4.10000+ 1 9.78695- 5 1.09844- 3 2.50000+ 1 2.50000+ 1 4.13313- 4 1.09540- 3 2.50000+ 1 2.70000+ 1 2.92272- 4 1.05641- 3 2.50000+ 1 2.90000+ 1 1.83054- 4 1.07436- 3 2.50000+ 1 3.00000+ 1 1.86001- 4 1.07813- 3 2.50000+ 1 4.10000+ 1 2.36176- 5 1.09906- 3 2.70000+ 1 2.70000+ 1 9.21124- 6 1.01742- 3 2.70000+ 1 2.90000+ 1 1.28960- 4 1.03537- 3 2.70000+ 1 3.00000+ 1 7.36903- 5 1.03914- 3 2.90000+ 1 2.90000+ 1 6.40493- 5 1.05332- 3 2.90000+ 1 3.00000+ 1 3.56853- 4 1.05709- 3 2.90000+ 1 4.10000+ 1 9.15002- 6 1.07802- 3 3.00000+ 1 3.00000+ 1 3.75827- 4 1.06086- 3 3.00000+ 1 4.10000+ 1 2.68443- 5 1.08179- 3 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 4.27581- 3 8.35740- 4 2.40000+ 1 7.73872- 5 1.07643- 3 2.50000+ 1 1.50260- 3 1.07705- 3 3.00000+ 1 8.36453- 4 1.05978- 3 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.80000+ 1 1.01462- 3 4.65600- 4 1.60000+ 1 1.90000+ 1 5.65193- 3 4.92970- 4 1.60000+ 1 2.10000+ 1 8.27871- 3 6.01630- 4 1.60000+ 1 2.20000+ 1 9.04114- 2 6.06510- 4 1.60000+ 1 2.40000+ 1 2.78161- 3 7.33660- 4 1.60000+ 1 2.50000+ 1 9.07832- 3 7.34280- 4 1.60000+ 1 2.70000+ 1 2.21269- 5 6.95290- 4 1.60000+ 1 2.90000+ 1 5.68972- 5 7.13240- 4 1.60000+ 1 3.00000+ 1 5.21569- 4 7.17010- 4 1.60000+ 1 4.10000+ 1 3.16101- 6 7.37940- 4 1.80000+ 1 1.80000+ 1 1.26432- 5 5.30940- 4 1.80000+ 1 1.90000+ 1 1.32643- 2 5.58310- 4 1.80000+ 1 2.10000+ 1 8.25014- 4 6.66970- 4 1.80000+ 1 2.20000+ 1 8.91695- 2 6.71850- 4 1.80000+ 1 2.40000+ 1 1.23282- 3 7.99000- 4 1.80000+ 1 2.50000+ 1 4.41910- 3 7.99620- 4 1.80000+ 1 2.70000+ 1 1.01152- 4 7.60630- 4 1.80000+ 1 2.90000+ 1 6.32192- 6 7.78580- 4 1.80000+ 1 3.00000+ 1 1.22006- 3 7.82350- 4 1.80000+ 1 4.10000+ 1 9.48277- 6 8.03280- 4 1.90000+ 1 1.90000+ 1 1.02481- 2 5.85680- 4 1.90000+ 1 2.10000+ 1 8.32935- 3 6.94340- 4 1.90000+ 1 2.20000+ 1 1.44290- 1 6.99220- 4 1.90000+ 1 2.40000+ 1 2.13376- 3 8.26370- 4 1.90000+ 1 2.50000+ 1 5.08925- 3 8.26990- 4 1.90000+ 1 2.70000+ 1 6.57493- 4 7.88000- 4 1.90000+ 1 2.90000+ 1 1.19168- 3 8.05950- 4 1.90000+ 1 3.00000+ 1 1.95043- 3 8.09720- 4 1.90000+ 1 4.10000+ 1 5.05764- 5 8.30650- 4 2.10000+ 1 2.10000+ 1 1.78919- 3 8.03000- 4 2.10000+ 1 2.20000+ 1 1.84692- 1 8.07880- 4 2.10000+ 1 2.40000+ 1 1.46677- 3 9.35030- 4 2.10000+ 1 2.50000+ 1 1.92039- 2 9.35650- 4 2.10000+ 1 2.70000+ 1 6.82806- 4 8.96660- 4 2.10000+ 1 2.90000+ 1 1.10639- 4 9.14610- 4 2.10000+ 1 3.00000+ 1 7.61842- 4 9.18380- 4 2.10000+ 1 4.10000+ 1 5.37395- 5 9.39310- 4 2.20000+ 1 2.20000+ 1 2.11993- 1 8.12760- 4 2.20000+ 1 2.40000+ 1 3.56355- 2 9.39910- 4 2.20000+ 1 2.50000+ 1 5.26985- 2 9.40530- 4 2.20000+ 1 2.70000+ 1 1.30455- 2 9.01540- 4 2.20000+ 1 2.90000+ 1 1.13289- 2 9.19490- 4 2.20000+ 1 3.00000+ 1 1.80211- 2 9.23260- 4 2.20000+ 1 4.10000+ 1 1.06848- 3 9.44190- 4 2.40000+ 1 2.40000+ 1 4.94433- 4 1.06706- 3 2.40000+ 1 2.50000+ 1 2.17390- 2 1.06768- 3 2.40000+ 1 2.70000+ 1 3.18982- 4 1.02869- 3 2.40000+ 1 2.90000+ 1 1.46730- 4 1.04664- 3 2.40000+ 1 3.00000+ 1 1.91376- 4 1.05041- 3 2.40000+ 1 4.10000+ 1 2.55194- 5 1.07134- 3 2.50000+ 1 2.50000+ 1 1.19707- 2 1.06830- 3 2.50000+ 1 2.70000+ 1 1.32649- 3 1.02931- 3 2.50000+ 1 2.90000+ 1 5.54833- 4 1.04726- 3 2.50000+ 1 3.00000+ 1 5.51645- 4 1.05103- 3 2.50000+ 1 4.10000+ 1 1.08414- 4 1.07196- 3 2.70000+ 1 2.90000+ 1 3.34744- 5 1.00827- 3 2.70000+ 1 3.00000+ 1 3.51477- 4 1.01204- 3 2.90000+ 1 3.00000+ 1 4.20531- 4 1.02999- 3 3.00000+ 1 3.00000+ 1 4.69764- 4 1.03376- 3 3.00000+ 1 4.10000+ 1 3.13179- 5 1.05469- 3 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.40372- 5 6.53400- 5 1.90000+ 1 8.12061- 5 9.27100- 5 2.90000+ 1 3.37239- 5 3.12980- 4 3.00000+ 1 2.76328- 5 3.16750- 4 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 2.52354- 2 5.59700- 5 1.80000+ 1 2.50000+ 1 3.82313- 2 5.65900- 5 1.80000+ 1 2.70000+ 1 5.03008- 2 1.76000- 5 1.80000+ 1 2.90000+ 1 3.93192- 2 3.55500- 5 1.80000+ 1 3.00000+ 1 8.10937- 2 3.93200- 5 1.80000+ 1 4.10000+ 1 3.97475- 3 6.02500- 5 1.90000+ 1 2.40000+ 1 9.18325- 2 8.33400- 5 1.90000+ 1 2.50000+ 1 1.09809- 1 8.39600- 5 1.90000+ 1 2.70000+ 1 6.31694- 2 4.49700- 5 1.90000+ 1 2.90000+ 1 6.41402- 2 6.29200- 5 1.90000+ 1 3.00000+ 1 8.50549- 2 6.66900- 5 1.90000+ 1 4.10000+ 1 5.13265- 3 8.76200- 5 2.10000+ 1 2.10000+ 1 4.70751- 3 5.99700- 5 2.10000+ 1 2.20000+ 1 2.57816- 2 6.48500- 5 2.10000+ 1 2.40000+ 1 3.28333- 3 1.92000- 4 2.10000+ 1 2.50000+ 1 8.01398- 3 1.92620- 4 2.10000+ 1 2.70000+ 1 2.10904- 2 1.53630- 4 2.10000+ 1 2.90000+ 1 4.20294- 3 1.71580- 4 2.10000+ 1 3.00000+ 1 1.30075- 2 1.75350- 4 2.10000+ 1 4.10000+ 1 1.42242- 3 1.96280- 4 2.20000+ 1 2.20000+ 1 1.29819- 2 6.97300- 5 2.20000+ 1 2.40000+ 1 9.14043- 3 1.96880- 4 2.20000+ 1 2.50000+ 1 7.95501- 3 1.97500- 4 2.20000+ 1 2.70000+ 1 3.06090- 2 1.58510- 4 2.20000+ 1 2.90000+ 1 1.20800- 2 1.76460- 4 2.20000+ 1 3.00000+ 1 1.23308- 2 1.80230- 4 2.20000+ 1 4.10000+ 1 2.06082- 3 2.01160- 4 2.40000+ 1 2.40000+ 1 8.73377- 4 3.24030- 4 2.40000+ 1 2.50000+ 1 2.94033- 3 3.24650- 4 2.40000+ 1 2.70000+ 1 7.49184- 3 2.85660- 4 2.40000+ 1 2.90000+ 1 9.26192- 4 3.03610- 4 2.40000+ 1 3.00000+ 1 2.26654- 3 3.07380- 4 2.40000+ 1 4.10000+ 1 4.60038- 4 3.28310- 4 2.50000+ 1 2.50000+ 1 1.62546- 3 3.25270- 4 2.50000+ 1 2.70000+ 1 9.68861- 3 2.86280- 4 2.50000+ 1 2.90000+ 1 6.76027- 4 3.04230- 4 2.50000+ 1 3.00000+ 1 2.85695- 3 3.08000- 4 2.50000+ 1 4.10000+ 1 5.94275- 4 3.28930- 4 2.70000+ 1 2.70000+ 1 1.70276- 2 2.47290- 4 2.70000+ 1 2.90000+ 1 2.07393- 2 2.65240- 4 2.70000+ 1 3.00000+ 1 3.60230- 2 2.69010- 4 2.70000+ 1 4.10000+ 1 2.46674- 3 2.89940- 4 2.90000+ 1 2.90000+ 1 6.04509- 3 2.83190- 4 2.90000+ 1 3.00000+ 1 2.57556- 2 2.86960- 4 2.90000+ 1 4.10000+ 1 4.83305- 3 3.07890- 4 3.00000+ 1 3.00000+ 1 2.17816- 2 2.90730- 4 3.00000+ 1 4.10000+ 1 8.81008- 3 3.11660- 4 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.59488- 4 1.36030- 4 2.70000+ 1 5.59150- 5 2.29690- 4 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 4.27494- 2 1.80000- 5 1.90000+ 1 2.50000+ 1 3.24552- 2 1.86200- 5 1.90000+ 1 2.90000+ 1 5.77702- 3 0.00000+ 0 1.90000+ 1 3.00000+ 1 1.30080- 2 1.35000- 6 1.90000+ 1 4.10000+ 1 1.47807- 3 2.22800- 5 2.10000+ 1 2.10000+ 1 2.89218- 2 0.00000+ 0 2.10000+ 1 2.20000+ 1 3.56272- 1 0.00000+ 0 2.10000+ 1 2.40000+ 1 8.35767- 2 1.26660- 4 2.10000+ 1 2.50000+ 1 1.72770- 1 1.27280- 4 2.10000+ 1 2.70000+ 1 4.03836- 2 8.82900- 5 2.10000+ 1 2.90000+ 1 2.84954- 2 1.06240- 4 2.10000+ 1 3.00000+ 1 5.31535- 2 1.10010- 4 2.10000+ 1 4.10000+ 1 3.27456- 3 1.30940- 4 2.20000+ 1 2.20000+ 1 1.99768- 2 4.39000- 6 2.20000+ 1 2.40000+ 1 2.06933- 2 1.31540- 4 2.20000+ 1 2.50000+ 1 5.51216- 3 1.32160- 4 2.20000+ 1 2.70000+ 1 6.44929- 3 9.31700- 5 2.20000+ 1 2.90000+ 1 2.75836- 2 1.11120- 4 2.20000+ 1 3.00000+ 1 6.14446- 3 1.14890- 4 2.20000+ 1 4.10000+ 1 4.62114- 4 1.35820- 4 2.40000+ 1 2.40000+ 1 4.91310- 4 2.58690- 4 2.40000+ 1 2.50000+ 1 4.53347- 3 2.59310- 4 2.40000+ 1 2.70000+ 1 1.74190- 3 2.20320- 4 2.40000+ 1 2.90000+ 1 6.11679- 3 2.38270- 4 2.40000+ 1 3.00000+ 1 2.28486- 3 2.42040- 4 2.40000+ 1 4.10000+ 1 1.38619- 4 2.62970- 4 2.50000+ 1 2.50000+ 1 1.53267- 4 2.59930- 4 2.50000+ 1 2.70000+ 1 8.94098- 4 2.20940- 4 2.50000+ 1 2.90000+ 1 1.01608- 2 2.38890- 4 2.50000+ 1 3.00000+ 1 8.14185- 4 2.42660- 4 2.50000+ 1 4.10000+ 1 5.96055- 5 2.63590- 4 2.70000+ 1 2.70000+ 1 1.63251- 4 1.81950- 4 2.70000+ 1 2.90000+ 1 2.83503- 3 1.99900- 4 2.70000+ 1 3.00000+ 1 4.43269- 4 2.03670- 4 2.70000+ 1 4.10000+ 1 2.22416- 5 2.24600- 4 2.90000+ 1 2.90000+ 1 4.74232- 3 2.17850- 4 2.90000+ 1 3.00000+ 1 1.35630- 2 2.21620- 4 2.90000+ 1 4.10000+ 1 7.06592- 4 2.42550- 4 3.00000+ 1 3.00000+ 1 5.82399- 4 2.25390- 4 3.00000+ 1 4.10000+ 1 1.00649- 4 2.46320- 4 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 6.76441- 6 1.08660- 4 2.20000+ 1 7.29771- 5 1.13540- 4 2.70000+ 1 2.56080- 5 2.02320- 4 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.66861- 2 9.92900- 5 2.10000+ 1 2.50000+ 1 4.98835- 2 9.99100- 5 2.10000+ 1 2.70000+ 1 1.80358- 2 6.09200- 5 2.10000+ 1 2.90000+ 1 1.34411- 2 7.88700- 5 2.10000+ 1 3.00000+ 1 5.28742- 2 8.26400- 5 2.10000+ 1 4.10000+ 1 1.44947- 3 1.03570- 4 2.20000+ 1 2.40000+ 1 2.19291- 1 1.04170- 4 2.20000+ 1 2.50000+ 1 2.23638- 1 1.04790- 4 2.20000+ 1 2.70000+ 1 9.35154- 2 6.58000- 5 2.20000+ 1 2.90000+ 1 9.03497- 2 8.37500- 5 2.20000+ 1 3.00000+ 1 1.38170- 1 8.75200- 5 2.20000+ 1 4.10000+ 1 7.84707- 3 1.08450- 4 2.40000+ 1 2.40000+ 1 1.98757- 4 2.31320- 4 2.40000+ 1 2.50000+ 1 7.46221- 3 2.31940- 4 2.40000+ 1 2.70000+ 1 2.78392- 3 1.92950- 4 2.40000+ 1 2.90000+ 1 1.21013- 3 2.10900- 4 2.40000+ 1 3.00000+ 1 1.77375- 2 2.14670- 4 2.40000+ 1 4.10000+ 1 1.73518- 4 2.35600- 4 2.50000+ 1 2.50000+ 1 2.46072- 3 2.32560- 4 2.50000+ 1 2.70000+ 1 5.93507- 3 1.93570- 4 2.50000+ 1 2.90000+ 1 4.96192- 3 2.11520- 4 2.50000+ 1 3.00000+ 1 2.15210- 2 2.15290- 4 2.50000+ 1 4.10000+ 1 4.12374- 4 2.36220- 4 2.70000+ 1 2.70000+ 1 2.00265- 5 1.54580- 4 2.70000+ 1 2.90000+ 1 1.80231- 4 1.72530- 4 2.70000+ 1 3.00000+ 1 3.46056- 3 1.76300- 4 2.70000+ 1 4.10000+ 1 3.48288- 6 1.97230- 4 2.90000+ 1 2.90000+ 1 1.71184- 5 1.90480- 4 2.90000+ 1 3.00000+ 1 1.71628- 3 1.94250- 4 2.90000+ 1 4.10000+ 1 6.70830- 6 2.15180- 4 3.00000+ 1 3.00000+ 1 4.17858- 3 1.98020- 4 3.00000+ 1 4.10000+ 1 2.73527- 4 2.18950- 4 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 3.09591- 6 1.32030- 4 2.90000+ 1 8.30866- 6 1.11610- 4 3.00000+ 1 1.35430- 6 1.15380- 4 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 2.40000+ 1 5.06855- 2 0.00000+ 0 2.20000+ 1 2.50000+ 1 6.11649- 3 0.00000+ 0 2.40000+ 1 2.40000+ 1 6.82227- 2 1.22660- 4 2.40000+ 1 2.50000+ 1 2.85036- 1 1.23280- 4 2.40000+ 1 2.70000+ 1 6.42488- 2 8.42900- 5 2.40000+ 1 2.90000+ 1 5.48355- 2 1.02240- 4 2.40000+ 1 3.00000+ 1 8.85796- 2 1.06010- 4 2.40000+ 1 4.10000+ 1 5.35768- 3 1.26940- 4 2.50000+ 1 2.50000+ 1 1.45529- 3 1.23900- 4 2.50000+ 1 2.70000+ 1 3.72930- 3 8.49100- 5 2.50000+ 1 2.90000+ 1 1.09667- 2 1.02860- 4 2.50000+ 1 3.00000+ 1 3.62062- 3 1.06630- 4 2.50000+ 1 4.10000+ 1 2.62117- 4 1.27560- 4 2.70000+ 1 2.70000+ 1 2.07361- 2 4.59200- 5 2.70000+ 1 2.90000+ 1 1.67718- 2 6.38700- 5 2.70000+ 1 3.00000+ 1 2.04668- 2 6.76400- 5 2.70000+ 1 4.10000+ 1 1.87135- 3 8.85700- 5 2.90000+ 1 2.90000+ 1 5.20293- 2 8.18200- 5 2.90000+ 1 3.00000+ 1 1.64964- 1 8.55900- 5 2.90000+ 1 4.10000+ 1 6.49655- 3 1.06520- 4 3.00000+ 1 3.00000+ 1 6.81004- 2 8.93600- 5 3.00000+ 1 4.10000+ 1 5.43463- 3 1.10290- 4 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.65880- 7 1.27150- 4 2.50000+ 1 3.35750- 6 1.27770- 4 3.00000+ 1 9.95360- 6 1.10500- 4 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 6.80555- 3 1.17780- 4 2.40000+ 1 2.50000+ 1 3.45608- 1 1.18400- 4 2.40000+ 1 2.70000+ 1 1.38219- 2 7.94100- 5 2.40000+ 1 2.90000+ 1 7.81197- 3 9.73600- 5 2.40000+ 1 3.00000+ 1 3.04752- 2 1.01130- 4 2.40000+ 1 4.10000+ 1 1.04714- 3 1.22060- 4 2.50000+ 1 2.50000+ 1 1.98866- 1 1.19020- 4 2.50000+ 1 2.70000+ 1 1.01843- 1 8.00300- 5 2.50000+ 1 2.90000+ 1 9.98080- 2 9.79800- 5 2.50000+ 1 3.00000+ 1 1.38658- 1 1.01750- 4 2.50000+ 1 4.10000+ 1 8.56460- 3 1.22680- 4 2.70000+ 1 2.70000+ 1 1.05066- 2 4.10400- 5 2.70000+ 1 2.90000+ 1 4.79946- 3 5.89900- 5 2.70000+ 1 3.00000+ 1 1.27440- 2 6.27600- 5 2.70000+ 1 4.10000+ 1 9.34866- 4 8.36900- 5 2.90000+ 1 2.90000+ 1 9.88139- 4 7.69400- 5 2.90000+ 1 3.00000+ 1 9.74009- 3 8.07100- 5 2.90000+ 1 4.10000+ 1 2.09775- 4 1.01640- 4 3.00000+ 1 3.00000+ 1 6.18497- 3 8.44800- 5 3.00000+ 1 4.10000+ 1 5.68631- 4 1.05410- 4 1 62000 0 7 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.61451- 8 1.79500- 5 3.00000+ 1 5.79734- 8 2.17200- 5 1 62000 0 9 1.50400+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 4.01753- 1 1.28600- 5 3.00000+ 1 4.10000+ 1 5.90344- 1 1.66300- 5 4.10000+ 1 4.10000+ 1 7.90345- 3 3.75600- 5 1 63000 0 0 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 3.00000+ 0 2.50000+ 1 4.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 1 63000 0 0 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.85680- 2 3.00000+ 0 8.01810- 3 5.00000+ 0 7.62480- 3 6.00000+ 0 6.96880- 3 8.00000+ 0 1.77690- 3 1.00000+ 1 1.60400- 3 1.10000+ 1 1.46960- 3 1.30000+ 1 1.16720- 3 1.40000+ 1 1.13780- 3 1.60000+ 1 3.57700- 4 1.80000+ 1 2.90050- 4 1.90000+ 1 2.60300- 4 2.10000+ 1 1.47760- 4 2.20000+ 1 1.42440- 4 2.40000+ 1 9.77000- 6 2.50000+ 1 9.08000- 6 2.70000+ 1 4.92100- 5 2.90000+ 1 3.06100- 5 3.00000+ 1 2.65600- 5 4.10000+ 1 5.16000- 6 1 63000 0 0 1.51960+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.33370- 2 3.00000+ 0 1.43370- 2 5.00000+ 0 1.43440- 2 6.00000+ 0 1.19240- 2 8.00000+ 0 4.40350- 3 1.00000+ 1 4.32030- 3 1.10000+ 1 3.75300- 3 1.30000+ 1 3.61950- 3 1.40000+ 1 3.48610- 3 1.60000+ 1 1.36490- 3 1.80000+ 1 1.27690- 3 1.90000+ 1 1.11710- 3 2.10000+ 1 9.44720- 4 2.20000+ 1 9.09770- 4 2.40000+ 1 5.32240- 4 2.50000+ 1 5.20880- 4 2.70000+ 1 2.86230- 4 2.90000+ 1 2.25770- 4 3.00000+ 1 1.92710- 4 4.10000+ 1 2.87600- 5 1 63000 0 0 1.51960+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.17930-10 3.00000+ 0 4.98920-10 5.00000+ 0 4.16670-10 6.00000+ 0 4.52190-10 8.00000+ 0 1.31140- 9 1.00000+ 1 1.25460- 9 1.10000+ 1 1.32260- 9 1.30000+ 1 1.17200- 9 1.40000+ 1 1.19320- 9 1.60000+ 1 2.97340- 9 1.80000+ 1 3.03640- 9 1.90000+ 1 3.18930- 9 2.10000+ 1 3.38160- 9 2.20000+ 1 3.43490- 9 2.40000+ 1 4.64550- 9 2.50000+ 1 4.71110- 9 2.70000+ 1 7.18260- 9 2.90000+ 1 8.05530- 9 3.00000+ 1 8.54960- 9 4.10000+ 1 2.25010- 8 1 63000 0 0 1.51960+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.90640- 5 3.00000+ 0 3.61690- 7 5.00000+ 0 6.16880- 7 6.00000+ 0 5.67260- 7 8.00000+ 0 1.10410- 8 1.00000+ 1 1.12340- 8 1.10000+ 1 1.15050- 8 1.30000+ 1 5.80950- 9 1.40000+ 1 5.45570- 9 1.60000+ 1 2.82360-10 1.80000+ 1 5.60350-10 1.90000+ 1 3.91310-10 2.10000+ 1 2.60100-10 2.20000+ 1 2.37810-10 2.70000+ 1 1.38780-11 1 63000 0 0 1.51960+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.42610- 6 3.00000+ 0 4.09540- 6 5.00000+ 0 2.99440- 6 6.00000+ 0 2.87700- 6 8.00000+ 0 1.55600- 5 1.00000+ 1 7.35790- 6 1.10000+ 1 7.74730- 6 1.30000+ 1 1.28440- 6 1.40000+ 1 8.97300- 7 1.60000+ 1 1.03700- 5 1.80000+ 1 1.25710- 5 1.90000+ 1 6.58240- 6 2.10000+ 1 2.23200- 6 2.20000+ 1 1.89150- 6 2.70000+ 1 1.03340- 6 1 63000 0 0 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.31310- 4 3.00000+ 0 1.60844- 4 5.00000+ 0 1.37298- 4 6.00000+ 0 1.27627- 4 8.00000+ 0 1.18219- 4 1.00000+ 1 1.01057- 4 1.10000+ 1 9.16695- 5 1.30000+ 1 6.77275- 5 1.40000+ 1 6.20404- 5 1.60000+ 1 6.40101- 5 1.80000+ 1 5.45827- 5 1.90000+ 1 4.51759- 5 2.10000+ 1 3.45623- 5 2.20000+ 1 2.72381- 5 2.40000+ 1 9.77000- 6 2.50000+ 1 9.08000- 6 2.70000+ 1 3.31891- 5 2.90000+ 1 3.06100- 5 3.00000+ 1 2.65600- 5 4.10000+ 1 5.16000- 6 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.08934+ 0 3.00000+ 0 1.79816- 1 5.00000+ 0 2.03028- 1 6.00000+ 0 1.69061- 1 8.00000+ 0 9.57586- 3 1.00000+ 1 9.89921- 3 1.10000+ 1 9.42235- 3 1.30000+ 1 8.13455- 3 1.40000+ 1 7.65687- 3 1.60000+ 1 3.20628- 4 1.80000+ 1 3.84817- 4 1.90000+ 1 1.34043- 4 2.10000+ 1 1.75337- 5 2.20000+ 1 1.74053- 5 2.70000+ 1 1.18720- 7 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.05497- 2 3.00000+ 0 1.07979- 3 5.00000+ 0 1.24654- 3 6.00000+ 0 9.37250- 4 8.00000+ 0 1.02847- 5 1.00000+ 1 1.03561- 5 1.10000+ 1 9.86996- 6 1.30000+ 1 7.90486- 6 1.40000+ 1 7.43358- 6 1.60000+ 1 5.41499- 8 1.80000+ 1 6.05240- 8 1.90000+ 1 1.86245- 8 2.10000+ 1 2.17519- 9 2.20000+ 1 2.12178- 9 2.70000+ 1 2.58583-12 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.24324+ 0 3.00000+ 0 1.02499+ 1 5.00000+ 0 8.56794+ 0 6.00000+ 0 8.06348+ 0 8.00000+ 0 7.26235+ 0 1.00000+ 1 5.97778+ 0 1.10000+ 1 5.51528+ 0 1.30000+ 1 3.64903+ 0 1.40000+ 1 3.51925+ 0 1.60000+ 1 3.05714+ 0 1.80000+ 1 2.68692+ 0 1.90000+ 1 2.16687+ 0 2.10000+ 1 1.19699+ 0 2.20000+ 1 1.13673+ 0 2.70000+ 1 1.00000+ 0 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.88703- 3 3.00000+ 0 6.77747- 3 5.00000+ 0 6.24096- 3 6.00000+ 0 5.90392- 3 8.00000+ 0 1.64840- 3 1.00000+ 1 1.49259- 3 1.10000+ 1 1.36806- 3 1.30000+ 1 1.09157- 3 1.40000+ 1 1.06833- 3 1.60000+ 1 2.93636- 4 1.80000+ 1 2.35407- 4 1.90000+ 1 2.15105- 4 2.10000+ 1 1.13196- 4 2.20000+ 1 1.15200- 4 2.70000+ 1 1.60209- 5 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.67330- 1 4.09432- 2 6.00000+ 0 4.82130- 1 4.15992- 2 1.00000+ 1 4.86630- 2 4.69640- 2 1.10000+ 1 9.41490- 2 4.70984- 2 1.30000+ 1 7.14180- 4 4.74008- 2 1.40000+ 1 9.45020- 4 4.74302- 2 1.80000+ 1 1.06020- 2 4.82779- 2 1.90000+ 1 2.05690- 2 4.83077- 2 2.10000+ 1 1.58080- 4 4.84202- 2 2.20000+ 1 2.08550- 4 4.84256- 2 2.90000+ 1 2.18980- 3 4.85374- 2 3.00000+ 1 4.47120- 3 4.85414- 2 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 5.99083- 3 3.25318- 2 3.00000+ 0 5.00000+ 0 7.66467- 3 3.29251- 2 3.00000+ 0 6.00000+ 0 7.38773- 3 3.35811- 2 3.00000+ 0 8.00000+ 0 2.25796- 3 3.87730- 2 3.00000+ 0 1.00000+ 1 1.55888- 3 3.89459- 2 3.00000+ 0 1.10000+ 1 1.54678- 3 3.90803- 2 3.00000+ 0 1.30000+ 1 1.12405- 4 3.93827- 2 3.00000+ 0 1.40000+ 1 1.09558- 4 3.94121- 2 3.00000+ 0 1.60000+ 1 5.24982- 4 4.01922- 2 3.00000+ 0 1.80000+ 1 3.48099- 4 4.02598- 2 3.00000+ 0 1.90000+ 1 3.43047- 4 4.02896- 2 3.00000+ 0 2.10000+ 1 2.44753- 5 4.04021- 2 3.00000+ 0 2.20000+ 1 2.36990- 5 4.04075- 2 3.00000+ 0 2.70000+ 1 8.65071- 5 4.05007- 2 3.00000+ 0 2.90000+ 1 4.64902- 5 4.05193- 2 3.00000+ 0 3.00000+ 1 4.39012- 5 4.05233- 2 3.00000+ 0 4.10000+ 1 6.99338- 6 4.05447- 2 5.00000+ 0 5.00000+ 0 7.44282- 4 3.33184- 2 5.00000+ 0 6.00000+ 0 1.49258- 2 3.39744- 2 5.00000+ 0 8.00000+ 0 1.21212- 3 3.91663- 2 5.00000+ 0 1.00000+ 1 2.68462- 4 3.93392- 2 5.00000+ 0 1.10000+ 1 2.59870- 3 3.94736- 2 5.00000+ 0 1.30000+ 1 1.26780- 4 3.97760- 2 5.00000+ 0 1.40000+ 1 3.99261- 4 3.98054- 2 5.00000+ 0 1.60000+ 1 2.71309- 4 4.05855- 2 5.00000+ 0 1.80000+ 1 5.85340- 5 4.06531- 2 5.00000+ 0 1.90000+ 1 5.55169- 4 4.06829- 2 5.00000+ 0 2.10000+ 1 2.70656- 5 4.07954- 2 5.00000+ 0 2.20000+ 1 8.48250- 5 4.08008- 2 5.00000+ 0 2.40000+ 1 3.88514- 7 4.09334- 2 5.00000+ 0 2.50000+ 1 1.29501- 7 4.09341- 2 5.00000+ 0 2.70000+ 1 4.42898- 5 4.08940- 2 5.00000+ 0 2.90000+ 1 7.76987- 6 4.09126- 2 5.00000+ 0 3.00000+ 1 7.04505- 5 4.09166- 2 5.00000+ 0 4.10000+ 1 3.62613- 6 4.09380- 2 6.00000+ 0 6.00000+ 0 7.11573- 3 3.46304- 2 6.00000+ 0 8.00000+ 0 1.11617- 3 3.98223- 2 6.00000+ 0 1.00000+ 1 2.49205- 3 3.99952- 2 6.00000+ 0 1.10000+ 1 2.55193- 3 4.01296- 2 6.00000+ 0 1.30000+ 1 4.65566- 4 4.04320- 2 6.00000+ 0 1.40000+ 1 4.16097- 4 4.04614- 2 6.00000+ 0 1.60000+ 1 2.47353- 4 4.12415- 2 6.00000+ 0 1.80000+ 1 5.35379- 4 4.13091- 2 6.00000+ 0 1.90000+ 1 5.49227- 4 4.13389- 2 6.00000+ 0 2.10000+ 1 9.95838- 5 4.14514- 2 6.00000+ 0 2.20000+ 1 8.87092- 5 4.14568- 2 6.00000+ 0 2.40000+ 1 7.76997- 7 4.15894- 2 6.00000+ 0 2.50000+ 1 1.29503- 7 4.15901- 2 6.00000+ 0 2.70000+ 1 4.04054- 5 4.15500- 2 6.00000+ 0 2.90000+ 1 7.08385- 5 4.15686- 2 6.00000+ 0 3.00000+ 1 6.98067- 5 4.15726- 2 6.00000+ 0 4.10000+ 1 3.23767- 6 4.15940- 2 8.00000+ 0 8.00000+ 0 2.09405- 4 4.50142- 2 8.00000+ 0 1.00000+ 1 2.48392- 4 4.51871- 2 8.00000+ 0 1.10000+ 1 2.35959- 4 4.53215- 2 8.00000+ 0 1.30000+ 1 1.64470- 5 4.56239- 2 8.00000+ 0 1.40000+ 1 1.52807- 5 4.56533- 2 8.00000+ 0 1.60000+ 1 9.71231- 5 4.64334- 2 8.00000+ 0 1.80000+ 1 5.55546- 5 4.65010- 2 8.00000+ 0 1.90000+ 1 5.24468- 5 4.65308- 2 8.00000+ 0 2.10000+ 1 3.62611- 6 4.66433- 2 8.00000+ 0 2.20000+ 1 3.23761- 6 4.66487- 2 8.00000+ 0 2.70000+ 1 1.59282- 5 4.67419- 2 8.00000+ 0 2.90000+ 1 7.38164- 6 4.67605- 2 8.00000+ 0 3.00000+ 1 6.73432- 6 4.67645- 2 8.00000+ 0 4.10000+ 1 1.29500- 6 4.67859- 2 1.00000+ 1 1.00000+ 1 2.34397- 5 4.53600- 2 1.00000+ 1 1.10000+ 1 4.42756- 4 4.54944- 2 1.00000+ 1 1.30000+ 1 1.70944- 5 4.57968- 2 1.00000+ 1 1.40000+ 1 5.15425- 5 4.58262- 2 1.00000+ 1 1.60000+ 1 5.56879- 5 4.66063- 2 1.00000+ 1 1.80000+ 1 1.01016- 5 4.66739- 2 1.00000+ 1 1.90000+ 1 9.49236- 5 4.67037- 2 1.00000+ 1 2.10000+ 1 3.62609- 6 4.68162- 2 1.00000+ 1 2.20000+ 1 1.10075- 5 4.68216- 2 1.00000+ 1 2.70000+ 1 9.06476- 6 4.69148- 2 1.00000+ 1 2.90000+ 1 1.29500- 6 4.69334- 2 1.00000+ 1 3.00000+ 1 1.20441- 5 4.69374- 2 1.00000+ 1 4.10000+ 1 7.76979- 7 4.69588- 2 1.10000+ 1 1.10000+ 1 2.30128- 4 4.56288- 2 1.10000+ 1 1.30000+ 1 6.61772- 5 4.59312- 2 1.10000+ 1 1.40000+ 1 5.76299- 5 4.59606- 2 1.10000+ 1 1.60000+ 1 5.24470- 5 4.67407- 2 1.10000+ 1 1.80000+ 1 9.54404- 5 4.68083- 2 1.10000+ 1 1.90000+ 1 9.91925- 5 4.68381- 2 1.10000+ 1 2.10000+ 1 1.42451- 5 4.69506- 2 1.10000+ 1 2.20000+ 1 1.23026- 5 4.69560- 2 1.10000+ 1 2.40000+ 1 1.29501- 7 4.70886- 2 1.10000+ 1 2.70000+ 1 8.54704- 6 4.70492- 2 1.10000+ 1 2.90000+ 1 1.26917- 5 4.70678- 2 1.10000+ 1 3.00000+ 1 1.25620- 5 4.70718- 2 1.10000+ 1 4.10000+ 1 6.47496- 7 4.70932- 2 1.30000+ 1 1.30000+ 1 1.29270- 7 4.62336- 2 1.30000+ 1 1.40000+ 1 8.01483- 6 4.62630- 2 1.30000+ 1 1.60000+ 1 3.61967- 6 4.70431- 2 1.30000+ 1 1.80000+ 1 3.49040- 6 4.71107- 2 1.30000+ 1 1.90000+ 1 1.35734- 5 4.71405- 2 1.30000+ 1 2.20000+ 1 1.68051- 6 4.72584- 2 1.30000+ 1 2.70000+ 1 6.46343- 7 4.73516- 2 1.30000+ 1 2.90000+ 1 5.17081- 7 4.73702- 2 1.30000+ 1 3.00000+ 1 1.68051- 6 4.73742- 2 1.40000+ 1 1.40000+ 1 1.94247- 6 4.62924- 2 1.40000+ 1 1.60000+ 1 3.36705- 6 4.70725- 2 1.40000+ 1 1.80000+ 1 1.04896- 5 4.71401- 2 1.40000+ 1 1.90000+ 1 1.17845- 5 4.71699- 2 1.40000+ 1 2.10000+ 1 1.68348- 6 4.72824- 2 1.40000+ 1 2.20000+ 1 7.76969- 7 4.72878- 2 1.40000+ 1 2.70000+ 1 5.17993- 7 4.73810- 2 1.40000+ 1 2.90000+ 1 1.42448- 6 4.73996- 2 1.40000+ 1 3.00000+ 1 1.42448- 6 4.74036- 2 1.60000+ 1 1.60000+ 1 1.11995- 5 4.78526- 2 1.60000+ 1 1.80000+ 1 1.23578- 5 4.79202- 2 1.60000+ 1 1.90000+ 1 1.15853- 5 4.79500- 2 1.60000+ 1 2.10000+ 1 7.72332- 7 4.80625- 2 1.60000+ 1 2.20000+ 1 7.72332- 7 4.80679- 2 1.60000+ 1 2.70000+ 1 3.73314- 6 4.81611- 2 1.60000+ 1 2.90000+ 1 1.67343- 6 4.81797- 2 1.60000+ 1 3.00000+ 1 1.54470- 6 4.81837- 2 1.60000+ 1 4.10000+ 1 2.57451- 7 4.82051- 2 1.80000+ 1 1.80000+ 1 1.01601- 6 4.79879- 2 1.80000+ 1 1.90000+ 1 2.00659- 5 4.80176- 2 1.80000+ 1 2.10000+ 1 7.61991- 7 4.81302- 2 1.80000+ 1 2.20000+ 1 2.15903- 6 4.81355- 2 1.80000+ 1 2.70000+ 1 2.03203- 6 4.82287- 2 1.80000+ 1 2.90000+ 1 2.54004- 7 4.82473- 2 1.80000+ 1 3.00000+ 1 2.54004- 6 4.82514- 2 1.80000+ 1 4.10000+ 1 1.27002- 7 4.82728- 2 1.90000+ 1 1.90000+ 1 1.06016- 5 4.80474- 2 1.90000+ 1 2.10000+ 1 2.97361- 6 4.81599- 2 1.90000+ 1 2.20000+ 1 2.45639- 6 4.81653- 2 1.90000+ 1 2.70000+ 1 1.93924- 6 4.82585- 2 1.90000+ 1 2.90000+ 1 2.71494- 6 4.82771- 2 1.90000+ 1 3.00000+ 1 2.71494- 6 4.82811- 2 1.90000+ 1 4.10000+ 1 1.29283- 7 4.83025- 2 2.10000+ 1 2.20000+ 1 3.88503- 7 4.82778- 2 2.10000+ 1 2.70000+ 1 1.29498- 7 4.83710- 2 2.10000+ 1 2.90000+ 1 1.29498- 7 4.83896- 2 2.10000+ 1 3.00000+ 1 3.88503- 7 4.83937- 2 2.20000+ 1 2.20000+ 1 1.43645- 7 4.82831- 2 2.20000+ 1 2.70000+ 1 1.43645- 7 4.83763- 2 2.20000+ 1 2.90000+ 1 2.87290- 7 4.83949- 2 2.20000+ 1 3.00000+ 1 2.87290- 7 4.83990- 2 2.70000+ 1 2.70000+ 1 3.30410- 7 4.84696- 2 2.70000+ 1 2.90000+ 1 3.30410- 7 4.84882- 2 2.70000+ 1 3.00000+ 1 3.30410- 7 4.84922- 2 2.90000+ 1 3.00000+ 1 3.88510- 7 4.85108- 2 3.00000+ 1 3.00000+ 1 1.29500- 7 4.85149- 2 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.93261- 5 3.93300- 4 6.00000+ 0 8.25292- 4 1.04930- 3 1.00000+ 1 2.27671- 2 6.41410- 3 1.10000+ 1 3.28561- 2 6.54850- 3 1.30000+ 1 4.69841- 4 6.85090- 3 1.40000+ 1 7.02982- 4 6.88030- 3 1.80000+ 1 5.35512- 3 7.72805- 3 1.90000+ 1 8.03462- 3 7.75780- 3 2.10000+ 1 6.34252- 5 7.87034- 3 2.20000+ 1 9.76163- 5 7.87566- 3 2.90000+ 1 7.49482- 4 7.98749- 3 3.00000+ 1 1.09390- 3 7.99154- 3 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.10832- 2 3.56000- 5 5.00000+ 0 1.80000+ 1 3.83907- 2 1.03250- 4 5.00000+ 0 1.90000+ 1 4.49185- 2 1.33000- 4 5.00000+ 0 2.10000+ 1 1.19896- 2 2.45540- 4 5.00000+ 0 2.20000+ 1 1.85628- 2 2.50860- 4 5.00000+ 0 2.40000+ 1 2.72344- 2 3.83530- 4 5.00000+ 0 2.50000+ 1 4.44404- 3 3.84220- 4 5.00000+ 0 2.70000+ 1 8.09859- 3 3.44090- 4 5.00000+ 0 2.90000+ 1 4.82334- 3 3.62690- 4 5.00000+ 0 3.00000+ 1 5.45030- 3 3.66740- 4 5.00000+ 0 4.10000+ 1 6.55272- 4 3.88140- 4 6.00000+ 0 1.60000+ 1 5.85679- 2 6.91600- 4 6.00000+ 0 1.80000+ 1 2.49028- 2 7.59250- 4 6.00000+ 0 1.90000+ 1 4.38567- 2 7.89000- 4 6.00000+ 0 2.10000+ 1 6.41424- 2 9.01540- 4 6.00000+ 0 2.20000+ 1 8.03969- 2 9.06860- 4 6.00000+ 0 2.40000+ 1 3.84236- 2 1.03953- 3 6.00000+ 0 2.50000+ 1 6.07853- 3 1.04022- 3 6.00000+ 0 2.70000+ 1 9.27383- 3 1.00009- 3 6.00000+ 0 2.90000+ 1 3.21409- 3 1.01869- 3 6.00000+ 0 3.00000+ 1 5.49352- 3 1.02274- 3 6.00000+ 0 4.10000+ 1 7.50735- 4 1.04414- 3 8.00000+ 0 8.00000+ 0 1.18735- 2 4.46430- 3 8.00000+ 0 1.00000+ 1 2.38306- 2 4.63720- 3 8.00000+ 0 1.10000+ 1 4.24802- 2 4.77160- 3 8.00000+ 0 1.30000+ 1 3.33073- 2 5.07400- 3 8.00000+ 0 1.40000+ 1 4.59433- 2 5.10340- 3 8.00000+ 0 1.60000+ 1 4.68977- 3 5.88350- 3 8.00000+ 0 1.80000+ 1 5.21192- 3 5.95115- 3 8.00000+ 0 1.90000+ 1 9.18615- 3 5.98090- 3 8.00000+ 0 2.10000+ 1 6.10016- 3 6.09344- 3 8.00000+ 0 2.20000+ 1 8.35411- 3 6.09876- 3 8.00000+ 0 2.40000+ 1 2.51270- 4 6.23143- 3 8.00000+ 0 2.50000+ 1 3.69511- 5 6.23212- 3 8.00000+ 0 2.70000+ 1 7.53829- 4 6.19199- 3 8.00000+ 0 2.90000+ 1 6.92242- 4 6.21059- 3 8.00000+ 0 3.00000+ 1 1.16829- 3 6.21464- 3 8.00000+ 0 4.10000+ 1 6.09714- 5 6.23604- 3 1.00000+ 1 1.00000+ 1 9.97661- 5 4.81010- 3 1.00000+ 1 1.10000+ 1 7.30431- 4 4.94450- 3 1.00000+ 1 1.30000+ 1 1.16951- 3 5.24690- 3 1.00000+ 1 1.40000+ 1 1.29620- 2 5.27630- 3 1.00000+ 1 1.60000+ 1 3.73518- 3 6.05640- 3 1.00000+ 1 1.80000+ 1 1.90924- 5 6.12405- 3 1.00000+ 1 1.90000+ 1 1.46578- 4 6.15380- 3 1.00000+ 1 2.10000+ 1 2.10012- 4 6.26634- 3 1.00000+ 1 2.20000+ 1 1.53166- 3 6.27166- 3 1.00000+ 1 2.40000+ 1 8.68374- 5 6.40433- 3 1.00000+ 1 2.50000+ 1 3.81851- 5 6.40502- 3 1.00000+ 1 2.70000+ 1 5.70284- 4 6.36489- 3 1.00000+ 1 2.90000+ 1 1.84761- 6 6.38349- 3 1.00000+ 1 3.00000+ 1 1.84761- 5 6.38754- 3 1.00000+ 1 4.10000+ 1 4.61899- 5 6.40894- 3 1.10000+ 1 1.10000+ 1 1.02180- 3 5.07890- 3 1.10000+ 1 1.30000+ 1 7.24118- 3 5.38130- 3 1.10000+ 1 1.40000+ 1 4.75879- 3 5.41070- 3 1.10000+ 1 1.60000+ 1 6.64136- 3 6.19080- 3 1.10000+ 1 1.80000+ 1 1.50267- 4 6.25845- 3 1.10000+ 1 1.90000+ 1 3.28246- 4 6.28820- 3 1.10000+ 1 2.10000+ 1 6.78057- 4 6.40074- 3 1.10000+ 1 2.20000+ 1 4.56349- 4 6.40606- 3 1.10000+ 1 2.40000+ 1 2.42650- 4 6.53873- 3 1.10000+ 1 2.50000+ 1 2.46333- 5 6.53942- 3 1.10000+ 1 2.70000+ 1 1.01372- 3 6.49929- 3 1.10000+ 1 2.90000+ 1 1.97074- 5 6.51789- 3 1.10000+ 1 3.00000+ 1 3.94148- 5 6.52194- 3 1.10000+ 1 4.10000+ 1 8.19085- 5 6.54334- 3 1.30000+ 1 1.30000+ 1 1.92526- 3 5.68370- 3 1.30000+ 1 1.40000+ 1 6.52401- 2 5.71310- 3 1.30000+ 1 1.60000+ 1 4.88504- 3 6.49320- 3 1.30000+ 1 1.80000+ 1 3.25777- 4 6.56085- 3 1.30000+ 1 1.90000+ 1 1.63947- 3 6.59060- 3 1.30000+ 1 2.10000+ 1 6.94699- 4 6.70314- 3 1.30000+ 1 2.20000+ 1 8.49891- 3 6.70846- 3 1.30000+ 1 2.40000+ 1 2.94999- 4 6.84113- 3 1.30000+ 1 2.50000+ 1 1.04087- 4 6.84182- 3 1.30000+ 1 2.70000+ 1 7.37795- 4 6.80169- 3 1.30000+ 1 2.90000+ 1 4.49585- 5 6.82029- 3 1.30000+ 1 3.00000+ 1 2.10009- 4 6.82434- 3 1.30000+ 1 4.10000+ 1 5.91219- 5 6.84574- 3 1.40000+ 1 1.40000+ 1 1.83136- 2 5.74250- 3 1.40000+ 1 1.60000+ 1 6.79715- 3 6.52260- 3 1.40000+ 1 1.80000+ 1 2.55709- 3 6.59025- 3 1.40000+ 1 1.90000+ 1 1.13258- 3 6.62000- 3 1.40000+ 1 2.10000+ 1 8.36775- 3 6.73254- 3 1.40000+ 1 2.20000+ 1 5.01552- 3 6.73786- 3 1.40000+ 1 2.40000+ 1 9.30552- 4 6.87053- 3 1.40000+ 1 2.50000+ 1 8.99169- 5 6.87122- 3 1.40000+ 1 2.70000+ 1 1.02908- 3 6.83109- 3 1.40000+ 1 2.90000+ 1 3.33800- 4 6.84969- 3 1.40000+ 1 3.00000+ 1 1.46577- 4 6.85374- 3 1.40000+ 1 4.10000+ 1 8.25254- 5 6.87514- 3 1.60000+ 1 1.60000+ 1 4.37875- 4 7.30270- 3 1.60000+ 1 1.80000+ 1 8.19079- 4 7.37035- 3 1.60000+ 1 1.90000+ 1 1.43920- 3 7.40010- 3 1.60000+ 1 2.10000+ 1 8.92992- 4 7.51264- 3 1.60000+ 1 2.20000+ 1 1.22980- 3 7.51796- 3 1.60000+ 1 2.40000+ 1 3.01763- 5 7.65063- 3 1.60000+ 1 2.50000+ 1 4.31086- 6 7.65132- 3 1.60000+ 1 2.70000+ 1 1.39179- 4 7.61119- 3 1.60000+ 1 2.90000+ 1 1.09008- 4 7.62979- 3 1.60000+ 1 3.00000+ 1 1.82909- 4 7.63384- 3 1.60000+ 1 4.10000+ 1 1.10853- 5 7.65524- 3 1.80000+ 1 1.80000+ 1 6.15860- 7 7.43800- 3 1.80000+ 1 1.90000+ 1 3.01766- 5 7.46775- 3 1.80000+ 1 2.10000+ 1 4.98850- 5 7.58029- 3 1.80000+ 1 2.20000+ 1 3.12853- 4 7.58561- 3 1.80000+ 1 2.40000+ 1 1.17018- 5 7.71828- 3 1.80000+ 1 2.50000+ 1 5.54273- 6 7.71897- 3 1.80000+ 1 2.70000+ 1 1.25018- 4 7.67884- 3 1.80000+ 1 3.00000+ 1 3.69506- 6 7.70149- 3 1.80000+ 1 4.10000+ 1 9.85405- 6 7.72289- 3 1.90000+ 1 1.90000+ 1 2.58653- 5 7.49750- 3 1.90000+ 1 2.10000+ 1 1.67508- 4 7.61004- 3 1.90000+ 1 2.20000+ 1 1.18250- 4 7.61536- 3 1.90000+ 1 2.40000+ 1 4.12624- 5 7.74803- 3 1.90000+ 1 2.50000+ 1 4.31095- 6 7.74872- 3 1.90000+ 1 2.70000+ 1 2.19865- 4 7.70859- 3 1.90000+ 1 2.90000+ 1 4.31095- 6 7.72719- 3 1.90000+ 1 3.00000+ 1 6.15866- 6 7.73124- 3 1.90000+ 1 4.10000+ 1 1.78596- 5 7.75264- 3 2.10000+ 1 2.10000+ 1 5.85037- 5 7.72258- 3 2.10000+ 1 2.20000+ 1 1.17810- 3 7.72790- 3 2.10000+ 1 2.40000+ 1 3.69490- 5 7.86057- 3 2.10000+ 1 2.50000+ 1 1.04687- 5 7.86126- 3 2.10000+ 1 2.70000+ 1 1.34868- 4 7.82113- 3 2.10000+ 1 2.90000+ 1 6.77416- 6 7.83973- 3 2.10000+ 1 3.00000+ 1 2.15536- 5 7.84378- 3 2.10000+ 1 4.10000+ 1 1.10850- 5 7.86518- 3 2.20000+ 1 2.20000+ 1 3.65206- 4 7.73322- 3 2.20000+ 1 2.40000+ 1 9.48418- 5 7.86589- 3 2.20000+ 1 2.50000+ 1 1.04691- 5 7.86658- 3 2.20000+ 1 2.70000+ 1 1.85987- 4 7.82645- 3 2.20000+ 1 2.90000+ 1 4.12618- 5 7.84505- 3 2.20000+ 1 3.00000+ 1 1.53959- 5 7.84910- 3 2.20000+ 1 4.10000+ 1 1.47805- 5 7.87050- 3 2.40000+ 1 2.40000+ 1 5.49789- 7 7.99856- 3 2.40000+ 1 2.50000+ 1 2.19907- 6 7.99925- 3 2.40000+ 1 2.70000+ 1 3.84842- 6 7.95912- 3 2.40000+ 1 2.90000+ 1 1.09958- 6 7.97772- 3 2.40000+ 1 3.00000+ 1 4.39839- 6 7.98177- 3 2.40000+ 1 4.10000+ 1 5.49789- 7 8.00317- 3 2.50000+ 1 2.50000+ 1 6.15877- 7 7.99994- 3 2.50000+ 1 2.70000+ 1 6.15877- 7 7.95981- 3 2.50000+ 1 2.90000+ 1 6.15877- 7 7.97841- 3 2.50000+ 1 3.00000+ 1 6.15877- 7 7.98246- 3 2.70000+ 1 2.70000+ 1 1.79550- 5 7.91968- 3 2.70000+ 1 2.90000+ 1 2.69316- 5 7.93828- 3 2.70000+ 1 3.00000+ 1 4.48882- 5 7.94233- 3 2.70000+ 1 4.10000+ 1 2.99248- 6 7.96373- 3 2.90000+ 1 3.00000+ 1 1.85337- 6 7.96093- 3 2.90000+ 1 4.10000+ 1 3.70674- 6 7.98233- 3 3.00000+ 1 3.00000+ 1 4.82617- 7 7.96498- 3 3.00000+ 1 4.10000+ 1 1.93039- 6 7.98638- 3 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 4.49028- 7 6.56000- 4 8.00000+ 0 5.04328- 3 5.84790- 3 1.10000+ 1 9.77456- 5 6.15520- 3 1.30000+ 1 1.34449- 1 6.45760- 3 1.60000+ 1 9.54556- 4 7.26710- 3 1.90000+ 1 2.02149- 5 7.36450- 3 2.10000+ 1 2.32319- 2 7.47704- 3 2.40000+ 1 1.38669- 5 7.61503- 3 2.70000+ 1 1.59169- 4 7.57559- 3 3.00000+ 1 4.45118- 6 7.59824- 3 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 9.13440- 3 2.98300- 4 6.00000+ 0 1.80000+ 1 4.81080- 2 3.65950- 4 6.00000+ 0 1.90000+ 1 1.58398- 2 3.95700- 4 6.00000+ 0 2.10000+ 1 5.97259- 2 5.08240- 4 6.00000+ 0 2.20000+ 1 2.15988- 2 5.13560- 4 6.00000+ 0 2.40000+ 1 1.23661- 3 6.46230- 4 6.00000+ 0 2.50000+ 1 2.36220- 4 6.46920- 4 6.00000+ 0 2.70000+ 1 1.36422- 3 6.06790- 4 6.00000+ 0 2.90000+ 1 6.01362- 3 6.25390- 4 6.00000+ 0 3.00000+ 1 1.99234- 3 6.29440- 4 6.00000+ 0 4.10000+ 1 1.09385- 4 6.50840- 4 8.00000+ 0 8.00000+ 0 8.81050- 4 4.07100- 3 8.00000+ 0 1.00000+ 1 2.36582- 2 4.24390- 3 8.00000+ 0 1.10000+ 1 2.29536- 3 4.37830- 3 8.00000+ 0 1.30000+ 1 2.28477- 3 4.68070- 3 8.00000+ 0 1.40000+ 1 2.95460- 3 4.71010- 3 8.00000+ 0 1.60000+ 1 3.20529- 4 5.49020- 3 8.00000+ 0 1.80000+ 1 3.48643- 3 5.55785- 3 8.00000+ 0 1.90000+ 1 4.40535- 4 5.58760- 3 8.00000+ 0 2.10000+ 1 3.00017- 4 5.70014- 3 8.00000+ 0 2.20000+ 1 3.30408- 4 5.70546- 3 8.00000+ 0 2.40000+ 1 6.60787- 5 5.83813- 3 8.00000+ 0 2.50000+ 1 5.31660- 6 5.83882- 3 8.00000+ 0 2.70000+ 1 5.08889- 5 5.79869- 3 8.00000+ 0 2.90000+ 1 4.32179- 4 5.81729- 3 8.00000+ 0 3.00000+ 1 5.46871- 5 5.82134- 3 8.00000+ 0 4.10000+ 1 3.79762- 6 5.84274- 3 1.00000+ 1 1.00000+ 1 2.37407- 2 4.41680- 3 1.00000+ 1 1.10000+ 1 7.04501- 2 4.55120- 3 1.00000+ 1 1.30000+ 1 3.76681- 2 4.85360- 3 1.00000+ 1 1.40000+ 1 6.15066- 2 4.88300- 3 1.00000+ 1 1.60000+ 1 5.61325- 3 5.66310- 3 1.00000+ 1 1.80000+ 1 8.83250- 3 5.73075- 3 1.00000+ 1 1.90000+ 1 1.49678- 2 5.76050- 3 1.00000+ 1 2.10000+ 1 6.89148- 3 5.87304- 3 1.00000+ 1 2.20000+ 1 1.12278- 2 5.87836- 3 1.00000+ 1 2.40000+ 1 2.80290- 4 6.01103- 3 1.00000+ 1 2.50000+ 1 3.34221- 5 6.01172- 3 1.00000+ 1 2.70000+ 1 9.28219- 4 5.97159- 3 1.00000+ 1 2.90000+ 1 1.14545- 3 5.99019- 3 1.00000+ 1 3.00000+ 1 1.89817- 3 5.99424- 3 1.00000+ 1 4.10000+ 1 7.51990- 5 6.01564- 3 1.10000+ 1 1.10000+ 1 1.79552- 3 4.68560- 3 1.10000+ 1 1.30000+ 1 4.20633- 2 4.98800- 3 1.10000+ 1 1.40000+ 1 5.75214- 3 5.01740- 3 1.10000+ 1 1.60000+ 1 4.64089- 4 5.79750- 3 1.10000+ 1 1.80000+ 1 1.07375- 2 5.86515- 3 1.10000+ 1 1.90000+ 1 6.46372- 4 5.89490- 3 1.10000+ 1 2.10000+ 1 6.52763- 3 6.00744- 3 1.10000+ 1 2.20000+ 1 8.41609- 4 6.01276- 3 1.10000+ 1 2.40000+ 1 1.67102- 4 6.14543- 3 1.10000+ 1 2.50000+ 1 1.21529- 5 6.14612- 3 1.10000+ 1 2.70000+ 1 7.44353- 5 6.10599- 3 1.10000+ 1 2.90000+ 1 1.33909- 3 6.12459- 3 1.10000+ 1 3.00000+ 1 7.97526- 5 6.12864- 3 1.10000+ 1 4.10000+ 1 6.07654- 6 6.15004- 3 1.30000+ 1 1.30000+ 1 3.89268- 2 5.29040- 3 1.30000+ 1 1.40000+ 1 1.63375- 1 5.31980- 3 1.30000+ 1 1.60000+ 1 5.48398- 4 6.09990- 3 1.30000+ 1 1.80000+ 1 5.69535- 3 6.16755- 3 1.30000+ 1 1.90000+ 1 8.38443- 3 6.19730- 3 1.30000+ 1 2.10000+ 1 1.20362- 2 6.30984- 3 1.30000+ 1 2.20000+ 1 2.71153- 2 6.31516- 3 1.30000+ 1 2.40000+ 1 1.12336- 3 6.44783- 3 1.30000+ 1 2.50000+ 1 2.89390- 4 6.44852- 3 1.30000+ 1 2.70000+ 1 9.11495- 5 6.40839- 3 1.30000+ 1 2.90000+ 1 7.13978- 4 6.42699- 3 1.30000+ 1 3.00000+ 1 1.05200- 3 6.43104- 3 1.30000+ 1 4.10000+ 1 7.59572- 6 6.45244- 3 1.40000+ 1 1.40000+ 1 7.82786- 3 5.34920- 3 1.40000+ 1 1.60000+ 1 5.80300- 4 6.12930- 3 1.40000+ 1 1.80000+ 1 8.24893- 3 6.19695- 3 1.40000+ 1 1.90000+ 1 1.04978- 3 6.22670- 3 1.40000+ 1 2.10000+ 1 2.11054- 2 6.33924- 3 1.40000+ 1 2.20000+ 1 2.35993- 3 6.34456- 3 1.40000+ 1 2.40000+ 1 4.57259- 4 6.47723- 3 1.40000+ 1 2.50000+ 1 2.20267- 5 6.47792- 3 1.40000+ 1 2.70000+ 1 9.26624- 5 6.43779- 3 1.40000+ 1 2.90000+ 1 1.00419- 3 6.45639- 3 1.40000+ 1 3.00000+ 1 1.29888- 4 6.46044- 3 1.40000+ 1 4.10000+ 1 7.59571- 6 6.48184- 3 1.60000+ 1 1.60000+ 1 2.81016- 5 6.90940- 3 1.60000+ 1 1.80000+ 1 8.31681- 4 6.97705- 3 1.60000+ 1 1.90000+ 1 8.96233- 5 7.00680- 3 1.60000+ 1 2.10000+ 1 6.91167- 5 7.11934- 3 1.60000+ 1 2.20000+ 1 6.60766- 5 7.12466- 3 1.60000+ 1 2.40000+ 1 1.36715- 5 7.25733- 3 1.60000+ 1 2.50000+ 1 7.59528- 7 7.25802- 3 1.60000+ 1 2.70000+ 1 9.11443- 6 7.21789- 3 1.60000+ 1 2.90000+ 1 1.03298- 4 7.23649- 3 1.60000+ 1 3.00000+ 1 1.13933- 5 7.24054- 3 1.60000+ 1 4.10000+ 1 7.59528- 7 7.26194- 3 1.80000+ 1 1.80000+ 1 7.75045- 4 7.04470- 3 1.80000+ 1 1.90000+ 1 2.25974- 3 7.07445- 3 1.80000+ 1 2.10000+ 1 1.01413- 3 7.18699- 3 1.80000+ 1 2.20000+ 1 1.50201- 3 7.19231- 3 1.80000+ 1 2.40000+ 1 3.38291- 5 7.32498- 3 1.80000+ 1 2.50000+ 1 3.75865- 6 7.32567- 3 1.80000+ 1 2.70000+ 1 1.36064- 4 7.28554- 3 1.80000+ 1 2.90000+ 1 1.99206- 4 7.30414- 3 1.80000+ 1 3.00000+ 1 2.86413- 4 7.30819- 3 1.80000+ 1 4.10000+ 1 1.12767- 5 7.32959- 3 1.90000+ 1 1.90000+ 1 5.91618- 5 7.10420- 3 1.90000+ 1 2.10000+ 1 1.32778- 3 7.21674- 3 1.90000+ 1 2.20000+ 1 1.59056- 4 7.22206- 3 1.90000+ 1 2.40000+ 1 2.68919- 5 7.35473- 3 1.90000+ 1 2.50000+ 1 1.53662- 6 7.35542- 3 1.90000+ 1 2.70000+ 1 1.45994- 5 7.31529- 3 1.90000+ 1 2.90000+ 1 2.88130- 4 7.33389- 3 1.90000+ 1 3.00000+ 1 1.45994- 5 7.33794- 3 1.90000+ 1 4.10000+ 1 1.53662- 6 7.35934- 3 2.10000+ 1 2.10000+ 1 9.19088- 4 7.32928- 3 2.10000+ 1 2.20000+ 1 3.62903- 3 7.33460- 3 2.10000+ 1 2.40000+ 1 1.20773- 4 7.46727- 3 2.10000+ 1 2.50000+ 1 3.19003- 5 7.46796- 3 2.10000+ 1 2.70000+ 1 1.13938- 5 7.42783- 3 2.10000+ 1 2.90000+ 1 1.27608- 4 7.44643- 3 2.10000+ 1 3.00000+ 1 1.64825- 4 7.45048- 3 2.10000+ 1 4.10000+ 1 7.59564- 7 7.47188- 3 2.20000+ 1 2.20000+ 1 2.42115- 4 7.33992- 3 2.20000+ 1 2.40000+ 1 7.07840- 5 7.47259- 3 2.20000+ 1 2.50000+ 1 3.07764- 6 7.47328- 3 2.20000+ 1 2.70000+ 1 1.43623- 5 7.43315- 3 2.20000+ 1 2.90000+ 1 2.50309- 4 7.45175- 3 2.20000+ 1 3.00000+ 1 2.66730- 5 7.45580- 3 2.20000+ 1 4.10000+ 1 1.02590- 6 7.47720- 3 2.40000+ 1 2.40000+ 1 1.63817- 6 7.60526- 3 2.40000+ 1 2.50000+ 1 2.45739- 6 7.60595- 3 2.40000+ 1 2.70000+ 1 2.45739- 6 7.56582- 3 2.40000+ 1 2.90000+ 1 4.09556- 6 7.58442- 3 2.40000+ 1 3.00000+ 1 3.27643- 6 7.58847- 3 2.50000+ 1 2.90000+ 1 7.59557- 7 7.58511- 3 2.70000+ 1 2.70000+ 1 1.28753- 6 7.52638- 3 2.70000+ 1 2.90000+ 1 2.83255- 5 7.54498- 3 2.70000+ 1 3.00000+ 1 2.57488- 6 7.54903- 3 2.90000+ 1 2.90000+ 1 2.30871- 5 7.56358- 3 2.90000+ 1 3.00000+ 1 6.51895- 5 7.56763- 3 2.90000+ 1 4.10000+ 1 2.71606- 6 7.58903- 3 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 9.31463- 3 5.19190- 3 1.00000+ 1 6.17092- 5 5.36480- 3 1.10000+ 1 5.64192- 5 5.49920- 3 1.30000+ 1 1.26100- 2 5.80160- 3 1.40000+ 1 1.11530- 1 5.83100- 3 1.60000+ 1 1.19770- 3 6.61110- 3 1.80000+ 1 9.15923- 6 6.67875- 3 1.90000+ 1 8.85513- 6 6.70850- 3 2.10000+ 1 2.09041- 3 6.82104- 3 2.20000+ 1 1.86861- 2 6.82636- 3 2.40000+ 1 2.02191- 6 6.95903- 3 2.50000+ 1 1.15640- 5 6.95972- 3 2.70000+ 1 2.18121- 4 6.91959- 3 2.90000+ 1 2.04401- 6 6.93819- 3 3.00000+ 1 1.76171- 6 6.94224- 3 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.17206- 3 3.41500- 3 8.00000+ 0 1.00000+ 1 7.52962- 4 3.58790- 3 8.00000+ 0 1.10000+ 1 2.65491- 2 3.72230- 3 8.00000+ 0 1.30000+ 1 2.71796- 3 4.02470- 3 8.00000+ 0 1.40000+ 1 3.35276- 3 4.05410- 3 8.00000+ 0 1.60000+ 1 4.27975- 4 4.83420- 3 8.00000+ 0 1.80000+ 1 1.32538- 4 4.90185- 3 8.00000+ 0 1.90000+ 1 3.88448- 3 4.93160- 3 8.00000+ 0 2.10000+ 1 2.51513- 4 5.04414- 3 8.00000+ 0 2.20000+ 1 2.79457- 4 5.04946- 3 8.00000+ 0 2.40000+ 1 8.86247- 5 5.18213- 3 8.00000+ 0 2.50000+ 1 1.99615- 5 5.18282- 3 8.00000+ 0 2.70000+ 1 6.70704- 5 5.14269- 3 8.00000+ 0 2.90000+ 1 1.67679- 5 5.16129- 3 8.00000+ 0 3.00000+ 1 4.62305- 4 5.16534- 3 8.00000+ 0 4.10000+ 1 5.58905- 6 5.18674- 3 1.00000+ 1 1.00000+ 1 2.11592- 4 3.76080- 3 1.00000+ 1 1.10000+ 1 4.43992- 2 3.89520- 3 1.00000+ 1 1.30000+ 1 2.67885- 3 4.19760- 3 1.00000+ 1 1.40000+ 1 2.39789- 2 4.22700- 3 1.00000+ 1 1.60000+ 1 1.48516- 4 5.00710- 3 1.00000+ 1 1.80000+ 1 7.66502- 5 5.07475- 3 1.00000+ 1 1.90000+ 1 6.74229- 3 5.10450- 3 1.00000+ 1 2.10000+ 1 4.51127- 4 5.21704- 3 1.00000+ 1 2.20000+ 1 3.43906- 3 5.22236- 3 1.00000+ 1 2.40000+ 1 9.82066- 5 5.35503- 3 1.00000+ 1 2.50000+ 1 3.27362- 5 5.35572- 3 1.00000+ 1 2.70000+ 1 2.39536- 5 5.31559- 3 1.00000+ 1 2.90000+ 1 1.03794- 5 5.33419- 3 1.00000+ 1 3.00000+ 1 8.07242- 4 5.33824- 3 1.00000+ 1 4.10000+ 1 1.59693- 6 5.35964- 3 1.10000+ 1 1.10000+ 1 6.05932- 2 4.02960- 3 1.10000+ 1 1.30000+ 1 6.23244- 2 4.33200- 3 1.10000+ 1 1.40000+ 1 9.13673- 2 4.36140- 3 1.10000+ 1 1.60000+ 1 6.22304- 3 5.14150- 3 1.10000+ 1 1.80000+ 1 9.26255- 3 5.20915- 3 1.10000+ 1 1.90000+ 1 2.19947- 2 5.23890- 3 1.10000+ 1 2.10000+ 1 1.09199- 2 5.35144- 3 1.10000+ 1 2.20000+ 1 1.57670- 2 5.35676- 3 1.10000+ 1 2.40000+ 1 4.47917- 4 5.48943- 3 1.10000+ 1 2.50000+ 1 7.26593- 5 5.49012- 3 1.10000+ 1 2.70000+ 1 1.02681- 3 5.44999- 3 1.10000+ 1 2.90000+ 1 1.22166- 3 5.46859- 3 1.10000+ 1 3.00000+ 1 2.72591- 3 5.47264- 3 1.10000+ 1 4.10000+ 1 8.38359- 5 5.49404- 3 1.30000+ 1 1.30000+ 1 9.02389- 3 4.63440- 3 1.30000+ 1 1.40000+ 1 1.71663- 1 4.66380- 3 1.30000+ 1 1.60000+ 1 6.04453- 4 5.44390- 3 1.30000+ 1 1.80000+ 1 5.60529- 4 5.51155- 3 1.30000+ 1 1.90000+ 1 8.77990- 3 5.54130- 3 1.30000+ 1 2.10000+ 1 2.76590- 3 5.65384- 3 1.30000+ 1 2.20000+ 1 2.23197- 2 5.65916- 3 1.30000+ 1 2.40000+ 1 2.54710- 4 5.79183- 3 1.30000+ 1 2.50000+ 1 1.09395- 4 5.79252- 3 1.30000+ 1 2.70000+ 1 9.90094- 5 5.75239- 3 1.30000+ 1 2.90000+ 1 7.42571- 5 5.77099- 3 1.30000+ 1 3.00000+ 1 1.03795- 3 5.77504- 3 1.30000+ 1 4.10000+ 1 7.98482- 6 5.79644- 3 1.40000+ 1 1.40000+ 1 1.15868- 1 4.69320- 3 1.40000+ 1 1.60000+ 1 7.86464- 4 5.47330- 3 1.40000+ 1 1.80000+ 1 4.62767- 3 5.54095- 3 1.40000+ 1 1.90000+ 1 1.44773- 2 5.57070- 3 1.40000+ 1 2.10000+ 1 2.66050- 2 5.68324- 3 1.40000+ 1 2.20000+ 1 3.39349- 2 5.68856- 3 1.40000+ 1 2.40000+ 1 2.71152- 3 5.82123- 3 1.40000+ 1 2.50000+ 1 3.11386- 4 5.82192- 3 1.40000+ 1 2.70000+ 1 1.30139- 4 5.78179- 3 1.40000+ 1 2.90000+ 1 6.02023- 4 5.80039- 3 1.40000+ 1 3.00000+ 1 1.75577- 3 5.80444- 3 1.40000+ 1 4.10000+ 1 1.03791- 5 5.82584- 3 1.60000+ 1 1.60000+ 1 3.91229- 5 6.25340- 3 1.60000+ 1 1.80000+ 1 2.63485- 5 6.32105- 3 1.60000+ 1 1.90000+ 1 9.12659- 4 6.35080- 3 1.60000+ 1 2.10000+ 1 6.06809- 5 6.46334- 3 1.60000+ 1 2.20000+ 1 7.10622- 5 6.46866- 3 1.60000+ 1 2.40000+ 1 1.27755- 5 6.60133- 3 1.60000+ 1 2.50000+ 1 3.19363- 6 6.60202- 3 1.60000+ 1 2.70000+ 1 1.19760- 5 6.56189- 3 1.60000+ 1 2.90000+ 1 3.19363- 6 6.58049- 3 1.60000+ 1 3.00000+ 1 1.08593- 4 6.58454- 3 1.60000+ 1 4.10000+ 1 7.98457- 7 6.60594- 3 1.80000+ 1 1.80000+ 1 6.34614- 6 6.38870- 3 1.80000+ 1 1.90000+ 1 1.39456- 3 6.41845- 3 1.80000+ 1 2.10000+ 1 9.12261- 5 6.53099- 3 1.80000+ 1 2.20000+ 1 6.83794- 4 6.53631- 3 1.80000+ 1 2.40000+ 1 1.34857- 5 6.66898- 3 1.80000+ 1 2.50000+ 1 4.75940- 6 6.66967- 3 1.80000+ 1 2.70000+ 1 3.96619- 6 6.62954- 3 1.80000+ 1 2.90000+ 1 1.58653- 6 6.64814- 3 1.80000+ 1 3.00000+ 1 1.66586- 4 6.65219- 3 1.90000+ 1 1.90000+ 1 1.80164- 3 6.44820- 3 1.90000+ 1 2.10000+ 1 1.44197- 3 6.56074- 3 1.90000+ 1 2.20000+ 1 2.30551- 3 6.56606- 3 1.90000+ 1 2.40000+ 1 4.85911- 5 6.69873- 3 1.90000+ 1 2.50000+ 1 8.22327- 6 6.69942- 3 1.90000+ 1 2.70000+ 1 1.41292- 4 6.65929- 3 1.90000+ 1 2.90000+ 1 1.73436- 4 6.67789- 3 1.90000+ 1 3.00000+ 1 4.44041- 4 6.68194- 3 1.90000+ 1 4.10000+ 1 1.12128- 5 6.70334- 3 2.10000+ 1 2.10000+ 1 2.05202- 4 6.67328- 3 2.10000+ 1 2.20000+ 1 3.57780- 3 6.67860- 3 2.10000+ 1 2.40000+ 1 2.71470- 5 6.81127- 3 2.10000+ 1 2.50000+ 1 1.11777- 5 6.81196- 3 2.10000+ 1 2.70000+ 1 1.03793- 5 6.77183- 3 2.10000+ 1 2.90000+ 1 1.19761- 5 6.79043- 3 2.10000+ 1 3.00000+ 1 1.82038- 4 6.79448- 3 2.10000+ 1 4.10000+ 1 7.98462- 7 6.81588- 3 2.20000+ 1 2.20000+ 1 2.77019- 3 6.68392- 3 2.20000+ 1 2.40000+ 1 3.13708- 4 6.81659- 3 2.20000+ 1 2.50000+ 1 3.54447- 5 6.81728- 3 2.20000+ 1 2.70000+ 1 1.32917- 5 6.77715- 3 2.20000+ 1 2.90000+ 1 1.00139- 4 6.79575- 3 2.20000+ 1 3.00000+ 1 3.30556- 4 6.79980- 3 2.20000+ 1 4.10000+ 1 8.86174- 7 6.82120- 3 2.40000+ 1 2.40000+ 1 7.74468- 7 6.94926- 3 2.40000+ 1 2.50000+ 1 3.09768- 6 6.94995- 3 2.40000+ 1 2.70000+ 1 1.54893- 6 6.90982- 3 2.40000+ 1 2.90000+ 1 1.54893- 6 6.92842- 3 2.40000+ 1 3.00000+ 1 5.42103- 6 6.93247- 3 2.50000+ 1 2.50000+ 1 7.98478- 7 6.95064- 3 2.50000+ 1 2.70000+ 1 7.98478- 7 6.91051- 3 2.50000+ 1 2.90000+ 1 7.98478- 7 6.92911- 3 2.50000+ 1 3.00000+ 1 7.98478- 7 6.93316- 3 2.70000+ 1 2.70000+ 1 1.27513- 6 6.87038- 3 2.70000+ 1 2.90000+ 1 1.27513- 6 6.88898- 3 2.70000+ 1 3.00000+ 1 2.80528- 5 6.89303- 3 2.90000+ 1 3.00000+ 1 4.63622- 5 6.91163- 3 3.00000+ 1 3.00000+ 1 8.48266- 5 6.91568- 3 3.00000+ 1 4.10000+ 1 4.71271- 6 6.93708- 3 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.01554- 5 1.72900- 4 1.10000+ 1 1.15748- 4 3.07300- 4 1.80000+ 1 4.15297- 4 1.48685- 3 1.90000+ 1 4.94167- 4 1.51660- 3 2.90000+ 1 9.37866- 5 1.74629- 3 3.00000+ 1 1.03809- 4 1.75034- 3 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 7.60819- 2 2.51400- 5 1.00000+ 1 2.20000+ 1 1.06929- 1 3.04600- 5 1.00000+ 1 2.40000+ 1 2.20537- 2 1.63130- 4 1.00000+ 1 2.50000+ 1 2.94902- 2 1.63820- 4 1.00000+ 1 2.70000+ 1 8.72760- 3 1.23690- 4 1.00000+ 1 2.90000+ 1 7.27569- 3 1.42290- 4 1.00000+ 1 3.00000+ 1 1.13052- 2 1.46340- 4 1.00000+ 1 4.10000+ 1 6.90150- 4 1.67740- 4 1.10000+ 1 1.80000+ 1 7.47270- 2 1.72500- 5 1.10000+ 1 1.90000+ 1 1.04346- 1 4.70000- 5 1.10000+ 1 2.10000+ 1 4.66442- 2 1.59540- 4 1.10000+ 1 2.20000+ 1 6.69589- 2 1.64860- 4 1.10000+ 1 2.40000+ 1 5.91453- 2 2.97530- 4 1.10000+ 1 2.50000+ 1 7.43222- 2 2.98220- 4 1.10000+ 1 2.70000+ 1 1.08765- 2 2.58090- 4 1.10000+ 1 2.90000+ 1 9.17444- 3 2.76690- 4 1.10000+ 1 3.00000+ 1 1.27326- 2 2.80740- 4 1.10000+ 1 4.10000+ 1 8.61888- 4 3.02140- 4 1.30000+ 1 1.60000+ 1 2.73260- 2 2.52000- 4 1.30000+ 1 1.80000+ 1 6.02603- 3 3.19650- 4 1.30000+ 1 1.90000+ 1 5.19160- 3 3.49400- 4 1.30000+ 1 2.10000+ 1 8.70028- 3 4.61940- 4 1.30000+ 1 2.20000+ 1 1.09255- 2 4.67260- 4 1.30000+ 1 2.40000+ 1 2.96063- 3 5.99930- 4 1.30000+ 1 2.50000+ 1 2.84846- 3 6.00620- 4 1.30000+ 1 2.70000+ 1 3.03047- 3 5.60490- 4 1.30000+ 1 2.90000+ 1 6.26869- 4 5.79090- 4 1.30000+ 1 3.00000+ 1 5.10314- 4 5.83140- 4 1.30000+ 1 4.10000+ 1 2.34203- 4 6.04540- 4 1.40000+ 1 1.60000+ 1 3.95235- 2 2.81400- 4 1.40000+ 1 1.80000+ 1 1.30310- 3 3.49050- 4 1.40000+ 1 1.90000+ 1 1.15934- 2 3.78800- 4 1.40000+ 1 2.10000+ 1 1.17212- 2 4.91340- 4 1.40000+ 1 2.20000+ 1 1.77546- 2 4.96660- 4 1.40000+ 1 2.40000+ 1 3.44617- 3 6.29330- 4 1.40000+ 1 2.50000+ 1 5.31222- 3 6.30020- 4 1.40000+ 1 2.70000+ 1 4.34062- 3 5.89890- 4 1.40000+ 1 2.90000+ 1 1.33532- 4 6.08490- 4 1.40000+ 1 3.00000+ 1 1.13897- 3 6.12540- 4 1.40000+ 1 4.10000+ 1 3.35364- 4 6.33940- 4 1.60000+ 1 1.60000+ 1 5.35338- 3 1.06150- 3 1.60000+ 1 1.80000+ 1 8.95412- 3 1.12915- 3 1.60000+ 1 1.90000+ 1 1.60294- 2 1.15890- 3 1.60000+ 1 2.10000+ 1 1.72152- 2 1.27144- 3 1.60000+ 1 2.20000+ 1 2.48570- 2 1.27676- 3 1.60000+ 1 2.40000+ 1 3.65263- 3 1.40943- 3 1.60000+ 1 2.50000+ 1 4.63563- 3 1.41012- 3 1.60000+ 1 2.70000+ 1 1.46369- 3 1.36999- 3 1.60000+ 1 2.90000+ 1 1.18444- 3 1.38859- 3 1.60000+ 1 3.00000+ 1 2.03069- 3 1.39264- 3 1.60000+ 1 4.10000+ 1 1.16830- 4 1.41404- 3 1.80000+ 1 1.80000+ 1 4.49645- 4 1.19680- 3 1.80000+ 1 1.90000+ 1 1.14304- 3 1.22655- 3 1.80000+ 1 2.10000+ 1 6.75845- 4 1.33909- 3 1.80000+ 1 2.20000+ 1 3.37696- 4 1.34441- 3 1.80000+ 1 2.40000+ 1 6.15226- 5 1.47708- 3 1.80000+ 1 2.50000+ 1 2.47488- 4 1.47777- 3 1.80000+ 1 2.70000+ 1 9.43657- 4 1.43764- 3 1.80000+ 1 2.90000+ 1 9.48291- 5 1.45624- 3 1.80000+ 1 3.00000+ 1 1.13796- 4 1.46029- 3 1.80000+ 1 4.10000+ 1 7.30881- 5 1.48169- 3 1.90000+ 1 1.90000+ 1 1.49489- 3 1.25630- 3 1.90000+ 1 2.10000+ 1 8.92705- 4 1.36884- 3 1.90000+ 1 2.20000+ 1 2.23864- 3 1.37416- 3 1.90000+ 1 2.40000+ 1 2.53889- 4 1.50683- 3 1.90000+ 1 2.50000+ 1 4.70637- 4 1.50752- 3 1.90000+ 1 2.70000+ 1 1.68004- 3 1.46739- 3 1.90000+ 1 2.90000+ 1 1.26025- 4 1.48599- 3 1.90000+ 1 3.00000+ 1 3.18948- 4 1.49004- 3 1.90000+ 1 4.10000+ 1 1.30151- 4 1.51144- 3 2.10000+ 1 2.10000+ 1 1.99869- 4 1.48138- 3 2.10000+ 1 2.20000+ 1 9.28940- 4 1.48670- 3 2.10000+ 1 2.40000+ 1 2.38105- 4 1.61937- 3 2.10000+ 1 2.50000+ 1 1.79105- 3 1.62006- 3 2.10000+ 1 2.70000+ 1 1.78137- 3 1.57993- 3 2.10000+ 1 2.90000+ 1 6.49365- 5 1.59853- 3 2.10000+ 1 3.00000+ 1 9.02664- 5 1.60258- 3 2.10000+ 1 4.10000+ 1 1.37245- 4 1.62398- 3 2.20000+ 1 2.20000+ 1 5.26735- 4 1.49202- 3 2.20000+ 1 2.40000+ 1 1.78881- 3 1.62469- 3 2.20000+ 1 2.50000+ 1 1.01262- 3 1.62538- 3 2.20000+ 1 2.70000+ 1 2.55653- 3 1.58525- 3 2.20000+ 1 2.90000+ 1 3.34655- 5 1.60385- 3 2.20000+ 1 3.00000+ 1 2.24165- 4 1.60790- 3 2.20000+ 1 4.10000+ 1 1.97127- 4 1.62930- 3 2.40000+ 1 2.40000+ 1 7.85422- 5 1.75736- 3 2.40000+ 1 2.50000+ 1 7.73322- 4 1.75805- 3 2.40000+ 1 2.70000+ 1 3.52272- 4 1.71792- 3 2.40000+ 1 2.90000+ 1 6.04177- 6 1.73652- 3 2.40000+ 1 3.00000+ 1 2.32360- 5 1.74057- 3 2.40000+ 1 4.10000+ 1 2.69564- 5 1.76197- 3 2.50000+ 1 2.50000+ 1 2.12782- 4 1.75874- 3 2.50000+ 1 2.70000+ 1 4.51408- 4 1.71861- 3 2.50000+ 1 2.90000+ 1 3.00632- 5 1.73721- 3 2.50000+ 1 3.00000+ 1 4.22779- 5 1.74126- 3 2.50000+ 1 4.10000+ 1 3.42916- 5 1.76266- 3 2.70000+ 1 2.70000+ 1 1.06468- 4 1.67848- 3 2.70000+ 1 2.90000+ 1 1.45722- 4 1.69708- 3 2.70000+ 1 3.00000+ 1 2.50039- 4 1.70113- 3 2.70000+ 1 4.10000+ 1 1.66693- 5 1.72253- 3 2.90000+ 1 2.90000+ 1 6.00298- 6 1.71568- 3 2.90000+ 1 3.00000+ 1 1.47349- 5 1.71973- 3 2.90000+ 1 4.10000+ 1 1.14604- 5 1.74113- 3 3.00000+ 1 3.00000+ 1 2.38364- 5 1.72378- 3 3.00000+ 1 4.10000+ 1 2.38364- 5 1.74518- 3 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 4.88161- 4 4.36800- 4 1.60000+ 1 4.09941- 4 1.24630- 3 2.10000+ 1 1.98570- 3 1.45624- 3 2.70000+ 1 7.32241- 5 1.55479- 3 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.40000+ 1 1.69550- 2 1.24630- 4 1.10000+ 1 2.50000+ 1 1.92240- 2 1.25320- 4 1.10000+ 1 2.70000+ 1 5.75818- 3 8.51900- 5 1.10000+ 1 2.90000+ 1 5.80975- 3 1.03790- 4 1.10000+ 1 3.00000+ 1 6.13099- 3 1.07840- 4 1.10000+ 1 4.10000+ 1 4.41995- 4 1.29240- 4 1.30000+ 1 1.60000+ 1 8.90104- 2 7.91000- 5 1.30000+ 1 1.80000+ 1 8.90572- 2 1.46750- 4 1.30000+ 1 1.90000+ 1 1.18213- 1 1.76500- 4 1.30000+ 1 2.10000+ 1 3.89565- 2 2.89040- 4 1.30000+ 1 2.20000+ 1 4.42758- 2 2.94360- 4 1.30000+ 1 2.40000+ 1 8.10625- 2 4.27030- 4 1.30000+ 1 2.50000+ 1 1.21926- 1 4.27720- 4 1.30000+ 1 2.70000+ 1 1.46207- 2 3.87590- 4 1.30000+ 1 2.90000+ 1 1.02207- 2 4.06190- 4 1.30000+ 1 3.00000+ 1 1.43247- 2 4.10240- 4 1.30000+ 1 4.10000+ 1 1.19803- 3 4.31640- 4 1.40000+ 1 1.60000+ 1 1.49994- 2 1.08500- 4 1.40000+ 1 1.80000+ 1 1.03424- 1 1.76150- 4 1.40000+ 1 1.90000+ 1 1.01411- 2 2.05900- 4 1.40000+ 1 2.10000+ 1 1.72225- 3 3.18440- 4 1.40000+ 1 2.20000+ 1 5.09906- 3 3.23760- 4 1.40000+ 1 2.40000+ 1 2.43249- 3 4.56430- 4 1.40000+ 1 2.50000+ 1 1.98437- 3 4.57120- 4 1.40000+ 1 2.70000+ 1 1.63876- 3 4.16990- 4 1.40000+ 1 2.90000+ 1 9.65199- 3 4.35590- 4 1.40000+ 1 3.00000+ 1 1.12333- 3 4.39640- 4 1.40000+ 1 4.10000+ 1 1.27311- 4 4.61040- 4 1.60000+ 1 1.60000+ 1 8.28089- 4 8.88600- 4 1.60000+ 1 1.80000+ 1 1.14662- 2 9.56250- 4 1.60000+ 1 1.90000+ 1 1.82780- 3 9.86000- 4 1.60000+ 1 2.10000+ 1 3.81365- 4 1.09854- 3 1.60000+ 1 2.20000+ 1 1.31461- 3 1.10386- 3 1.60000+ 1 2.40000+ 1 4.47951- 5 1.23653- 3 1.60000+ 1 2.50000+ 1 3.02999- 4 1.23722- 3 1.60000+ 1 2.70000+ 1 2.14035- 4 1.19709- 3 1.60000+ 1 2.90000+ 1 1.02657- 3 1.21569- 3 1.60000+ 1 3.00000+ 1 2.09047- 4 1.21974- 3 1.60000+ 1 4.10000+ 1 1.67984- 5 1.24114- 3 1.80000+ 1 1.80000+ 1 8.72663- 3 1.02390- 3 1.80000+ 1 1.90000+ 1 2.64688- 2 1.05365- 3 1.80000+ 1 2.10000+ 1 2.46578- 2 1.16619- 3 1.80000+ 1 2.20000+ 1 4.06088- 2 1.17151- 3 1.80000+ 1 2.40000+ 1 4.36306- 3 1.30418- 3 1.80000+ 1 2.50000+ 1 7.56002- 3 1.30487- 3 1.80000+ 1 2.70000+ 1 1.93555- 3 1.26474- 3 1.80000+ 1 2.90000+ 1 1.96058- 3 1.28334- 3 1.80000+ 1 3.00000+ 1 3.32673- 3 1.28739- 3 1.80000+ 1 4.10000+ 1 1.57380- 4 1.30879- 3 1.90000+ 1 1.90000+ 1 7.74504- 4 1.08340- 3 1.90000+ 1 2.10000+ 1 2.25836- 3 1.19594- 3 1.90000+ 1 2.20000+ 1 1.75651- 3 1.20126- 3 1.90000+ 1 2.40000+ 1 3.34952- 3 1.33393- 3 1.90000+ 1 2.50000+ 1 9.69118- 4 1.33462- 3 1.90000+ 1 2.70000+ 1 2.18380- 4 1.29449- 3 1.90000+ 1 2.90000+ 1 2.55737- 3 1.31309- 3 1.90000+ 1 3.00000+ 1 1.64800- 4 1.31714- 3 1.90000+ 1 4.10000+ 1 1.69548- 5 1.33854- 3 2.10000+ 1 2.10000+ 1 8.33949- 4 1.30848- 3 2.10000+ 1 2.20000+ 1 2.41618- 3 1.31380- 3 2.10000+ 1 2.40000+ 1 4.05438- 4 1.44647- 3 2.10000+ 1 2.50000+ 1 7.41718- 4 1.44716- 3 2.10000+ 1 2.70000+ 1 5.76475- 5 1.40703- 3 2.10000+ 1 2.90000+ 1 2.20543- 3 1.42563- 3 2.10000+ 1 3.00000+ 1 2.27376- 4 1.42968- 3 2.10000+ 1 4.10000+ 1 4.48353- 6 1.45108- 3 2.20000+ 1 2.20000+ 1 5.58356- 4 1.31912- 3 2.20000+ 1 2.40000+ 1 1.39716- 3 1.45179- 3 2.20000+ 1 2.50000+ 1 2.93117- 4 1.45248- 3 2.20000+ 1 2.70000+ 1 1.70926- 4 1.41235- 3 2.20000+ 1 2.90000+ 1 3.64334- 3 1.43095- 3 2.20000+ 1 3.00000+ 1 1.62062- 4 1.43500- 3 2.20000+ 1 4.10000+ 1 1.32941- 5 1.45640- 3 2.40000+ 1 2.40000+ 1 2.63900- 4 1.58446- 3 2.40000+ 1 2.50000+ 1 2.16256- 3 1.58515- 3 2.40000+ 1 2.70000+ 1 2.53122- 6 1.54502- 3 2.40000+ 1 2.90000+ 1 3.53142- 4 1.56362- 3 2.40000+ 1 3.00000+ 1 3.67042- 4 1.56767- 3 2.50000+ 1 2.50000+ 1 9.53514- 5 1.58584- 3 2.50000+ 1 2.70000+ 1 4.27223- 5 1.54571- 3 2.50000+ 1 2.90000+ 1 6.00572- 4 1.56431- 3 2.50000+ 1 3.00000+ 1 9.34953- 5 1.56836- 3 2.50000+ 1 4.10000+ 1 3.09577- 6 1.58976- 3 2.70000+ 1 2.70000+ 1 1.46210- 5 1.50558- 3 2.70000+ 1 2.90000+ 1 1.80107- 4 1.52418- 3 2.70000+ 1 3.00000+ 1 2.45892- 5 1.52823- 3 2.70000+ 1 4.10000+ 1 1.99365- 6 1.54963- 3 2.90000+ 1 2.90000+ 1 1.67258- 4 1.54278- 3 2.90000+ 1 3.00000+ 1 4.85439- 4 1.54683- 3 2.90000+ 1 4.10000+ 1 2.24369- 5 1.56823- 3 3.00000+ 1 3.00000+ 1 3.20360- 5 1.55088- 3 3.00000+ 1 4.10000+ 1 7.39248- 6 1.57228- 3 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.79421- 5 3.02400- 4 1.40000+ 1 2.20428- 4 3.31800- 4 1.60000+ 1 5.72596- 4 1.11190- 3 2.10000+ 1 2.63278- 4 1.32184- 3 2.20000+ 1 2.13420- 3 1.32716- 3 2.70000+ 1 1.03231- 4 1.42039- 3 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.80000+ 1 1.47268- 2 1.23500- 5 1.30000+ 1 1.90000+ 1 7.55414- 2 4.21000- 5 1.30000+ 1 2.10000+ 1 1.19258- 2 1.54640- 4 1.30000+ 1 2.20000+ 1 1.02495- 2 1.59960- 4 1.30000+ 1 2.40000+ 1 8.52200- 3 2.92630- 4 1.30000+ 1 2.50000+ 1 1.25784- 2 2.93320- 4 1.30000+ 1 2.70000+ 1 2.56604- 3 2.53190- 4 1.30000+ 1 2.90000+ 1 1.77193- 3 2.71790- 4 1.30000+ 1 3.00000+ 1 7.33895- 3 2.75840- 4 1.30000+ 1 4.10000+ 1 2.02005- 4 2.97240- 4 1.40000+ 1 1.80000+ 1 9.88491- 2 4.17500- 5 1.40000+ 1 1.90000+ 1 1.70093- 1 7.15000- 5 1.40000+ 1 2.10000+ 1 5.18807- 2 1.84040- 4 1.40000+ 1 2.20000+ 1 7.83235- 2 1.89360- 4 1.40000+ 1 2.40000+ 1 8.21466- 2 3.22030- 4 1.40000+ 1 2.50000+ 1 9.79207- 2 3.22720- 4 1.40000+ 1 2.70000+ 1 1.49598- 2 2.82590- 4 1.40000+ 1 2.90000+ 1 1.21382- 2 3.01190- 4 1.40000+ 1 3.00000+ 1 1.90236- 2 3.05240- 4 1.40000+ 1 4.10000+ 1 1.18330- 3 3.26640- 4 1.60000+ 1 1.60000+ 1 7.42469- 4 7.54200- 4 1.60000+ 1 1.80000+ 1 1.11090- 3 8.21850- 4 1.60000+ 1 1.90000+ 1 1.64257- 2 8.51600- 4 1.60000+ 1 2.10000+ 1 9.86004- 4 9.64140- 4 1.60000+ 1 2.20000+ 1 1.07057- 3 9.69460- 4 1.60000+ 1 2.40000+ 1 4.59385- 4 1.10213- 3 1.60000+ 1 2.50000+ 1 6.95799- 4 1.10282- 3 1.60000+ 1 2.70000+ 1 1.91343- 4 1.06269- 3 1.60000+ 1 2.90000+ 1 1.20973- 4 1.08129- 3 1.60000+ 1 3.00000+ 1 1.44063- 3 1.08534- 3 1.60000+ 1 4.10000+ 1 1.50229- 5 1.10674- 3 1.80000+ 1 1.80000+ 1 1.52426- 4 8.89500- 4 1.80000+ 1 1.90000+ 1 1.95761- 2 9.19250- 4 1.80000+ 1 2.10000+ 1 4.92764- 4 1.03179- 3 1.80000+ 1 2.20000+ 1 3.50832- 3 1.03711- 3 1.80000+ 1 2.40000+ 1 5.17762- 4 1.16978- 3 1.80000+ 1 2.50000+ 1 3.06886- 3 1.17047- 3 1.80000+ 1 2.70000+ 1 1.29037- 4 1.13034- 3 1.80000+ 1 2.90000+ 1 3.06472- 5 1.14894- 3 1.80000+ 1 3.00000+ 1 1.73800- 3 1.15299- 3 1.80000+ 1 4.10000+ 1 9.67798- 6 1.17439- 3 1.90000+ 1 1.90000+ 1 2.69077- 2 9.49000- 4 1.90000+ 1 2.10000+ 1 3.67425- 2 1.06154- 3 1.90000+ 1 2.20000+ 1 4.93319- 2 1.06686- 3 1.90000+ 1 2.40000+ 1 9.18096- 3 1.19953- 3 1.90000+ 1 2.50000+ 1 1.04525- 2 1.20022- 3 1.90000+ 1 2.70000+ 1 2.58262- 3 1.16009- 3 1.90000+ 1 2.90000+ 1 2.45587- 3 1.17869- 3 1.90000+ 1 3.00000+ 1 5.75890- 3 1.18274- 3 1.90000+ 1 4.10000+ 1 2.09842- 4 1.20414- 3 2.10000+ 1 2.10000+ 1 2.45058- 4 1.17408- 3 2.10000+ 1 2.20000+ 1 4.32070- 3 1.17940- 3 2.10000+ 1 2.40000+ 1 2.00650- 4 1.31207- 3 2.10000+ 1 2.50000+ 1 2.51891- 3 1.31276- 3 2.10000+ 1 2.70000+ 1 1.02621- 4 1.27263- 3 2.10000+ 1 2.90000+ 1 3.75248- 5 1.29123- 3 2.10000+ 1 3.00000+ 1 3.18735- 3 1.29528- 3 2.10000+ 1 4.10000+ 1 7.65850- 6 1.31668- 3 2.20000+ 1 2.20000+ 1 2.15069- 3 1.18472- 3 2.20000+ 1 2.40000+ 1 1.95166- 3 1.31739- 3 2.20000+ 1 2.50000+ 1 1.72315- 3 1.31808- 3 2.20000+ 1 2.70000+ 1 1.12757- 4 1.27795- 3 2.20000+ 1 2.90000+ 1 2.77733- 4 1.29655- 3 2.20000+ 1 3.00000+ 1 4.18941- 3 1.30060- 3 2.20000+ 1 4.10000+ 1 9.08116- 6 1.32200- 3 2.40000+ 1 2.40000+ 1 8.08874- 5 1.45006- 3 2.40000+ 1 2.50000+ 1 2.81649- 3 1.45075- 3 2.40000+ 1 2.70000+ 1 4.69940- 5 1.41062- 3 2.40000+ 1 2.90000+ 1 5.39219- 5 1.42922- 3 2.40000+ 1 3.00000+ 1 7.61866- 4 1.43327- 3 2.40000+ 1 4.10000+ 1 3.85172- 6 1.45467- 3 2.50000+ 1 2.50000+ 1 9.34520- 4 1.45144- 3 2.50000+ 1 2.70000+ 1 5.72456- 5 1.41131- 3 2.50000+ 1 2.90000+ 1 3.25691- 4 1.42991- 3 2.50000+ 1 3.00000+ 1 8.93491- 4 1.43396- 3 2.50000+ 1 4.10000+ 1 4.64150- 6 1.45536- 3 2.70000+ 1 2.70000+ 1 1.58944- 5 1.37118- 3 2.70000+ 1 2.90000+ 1 1.78815- 5 1.38978- 3 2.70000+ 1 3.00000+ 1 2.90088- 4 1.39383- 3 2.70000+ 1 4.10000+ 1 2.98020- 6 1.41523- 3 2.90000+ 1 2.90000+ 1 2.49712- 6 1.40838- 3 2.90000+ 1 3.00000+ 1 3.52097- 4 1.41243- 3 2.90000+ 1 4.10000+ 1 1.24860- 6 1.43383- 3 3.00000+ 1 3.00000+ 1 8.88638- 4 1.41648- 3 3.00000+ 1 4.10000+ 1 5.56848- 5 1.43788- 3 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.96122- 3 8.77150- 4 1.90000+ 1 5.31961- 4 9.06900- 4 2.40000+ 1 2.00222- 3 1.15743- 3 2.90000+ 1 7.04201- 4 1.13659- 3 3.00000+ 1 9.66963- 5 1.14064- 3 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 7.89171- 2 1.96300- 5 1.40000+ 1 2.50000+ 1 1.20333- 2 2.03200- 5 1.40000+ 1 2.90000+ 1 7.50952- 4 0.00000+ 0 1.40000+ 1 3.00000+ 1 2.57498- 3 2.84000- 6 1.40000+ 1 4.10000+ 1 2.13206- 4 2.42400- 5 1.60000+ 1 1.60000+ 1 2.49962- 5 4.51800- 4 1.60000+ 1 1.80000+ 1 3.19942- 3 5.19450- 4 1.60000+ 1 1.90000+ 1 2.21622- 3 5.49200- 4 1.60000+ 1 2.10000+ 1 7.45091- 2 6.61740- 4 1.60000+ 1 2.20000+ 1 9.35397- 3 6.67060- 4 1.60000+ 1 2.40000+ 1 9.05122- 3 7.99730- 4 1.60000+ 1 2.50000+ 1 3.06340- 3 8.00420- 4 1.60000+ 1 2.70000+ 1 2.77735- 5 7.60290- 4 1.60000+ 1 2.90000+ 1 3.33283- 4 7.78890- 4 1.60000+ 1 3.00000+ 1 1.80522- 4 7.82940- 4 1.60000+ 1 4.10000+ 1 2.77735- 6 8.04340- 4 1.80000+ 1 1.80000+ 1 1.66631- 3 5.87100- 4 1.80000+ 1 1.90000+ 1 1.14051- 2 6.16850- 4 1.80000+ 1 2.10000+ 1 6.31786- 2 7.29390- 4 1.80000+ 1 2.20000+ 1 5.40978- 3 7.34710- 4 1.80000+ 1 2.40000+ 1 5.79310- 3 8.67380- 4 1.80000+ 1 2.50000+ 1 3.18540- 3 8.68070- 4 1.80000+ 1 2.70000+ 1 3.36041- 4 8.27940- 4 1.80000+ 1 2.90000+ 1 3.58256- 4 8.46540- 4 1.80000+ 1 3.00000+ 1 1.08582- 3 8.50590- 4 1.80000+ 1 4.10000+ 1 2.49947- 5 8.71990- 4 1.90000+ 1 1.90000+ 1 4.19911- 3 6.46600- 4 1.90000+ 1 2.10000+ 1 1.36398- 1 7.59140- 4 1.90000+ 1 2.20000+ 1 5.10719- 3 7.64460- 4 1.90000+ 1 2.40000+ 1 3.92970- 3 8.97130- 4 1.90000+ 1 2.50000+ 1 1.85793- 3 8.97820- 4 1.90000+ 1 2.70000+ 1 2.63827- 4 8.57690- 4 1.90000+ 1 2.90000+ 1 1.04695- 3 8.76290- 4 1.90000+ 1 3.00000+ 1 7.72045- 4 8.80340- 4 1.90000+ 1 4.10000+ 1 1.94391- 5 9.01740- 4 2.10000+ 1 2.10000+ 1 1.13634- 1 8.71680- 4 2.10000+ 1 2.20000+ 1 2.31575- 1 8.77000- 4 2.10000+ 1 2.40000+ 1 3.42544- 2 1.00967- 3 2.10000+ 1 2.50000+ 1 4.44411- 2 1.01036- 3 2.10000+ 1 2.70000+ 1 1.10194- 2 9.70230- 4 2.10000+ 1 2.90000+ 1 8.25631- 3 9.88830- 4 2.10000+ 1 3.00000+ 1 1.67132- 2 9.92880- 4 2.10000+ 1 4.10000+ 1 8.88682- 4 1.01428- 3 2.20000+ 1 2.20000+ 1 3.79924- 3 8.82320- 4 2.20000+ 1 2.40000+ 1 3.37982- 2 1.01499- 3 2.20000+ 1 2.50000+ 1 2.01899- 3 1.01568- 3 2.20000+ 1 2.70000+ 1 7.88711- 4 9.75550- 4 2.20000+ 1 2.90000+ 1 4.74893- 4 9.94150- 4 2.20000+ 1 3.00000+ 1 5.13779- 4 9.98200- 4 2.20000+ 1 4.10000+ 1 5.83204- 5 1.01960- 3 2.40000+ 1 2.40000+ 1 9.18197- 3 1.14766- 3 2.40000+ 1 2.50000+ 1 3.36333- 2 1.14835- 3 2.40000+ 1 2.70000+ 1 1.38616- 3 1.10822- 3 2.40000+ 1 2.90000+ 1 6.23322- 4 1.12682- 3 2.40000+ 1 3.00000+ 1 4.72479- 4 1.13087- 3 2.40000+ 1 4.10000+ 1 1.11002- 4 1.15227- 3 2.50000+ 1 2.50000+ 1 6.13024- 4 1.14904- 3 2.50000+ 1 2.70000+ 1 3.33370- 4 1.10891- 3 2.50000+ 1 2.90000+ 1 2.03395- 4 1.12751- 3 2.50000+ 1 3.00000+ 1 2.06222- 4 1.13156- 3 2.50000+ 1 4.10000+ 1 2.54257- 5 1.15296- 3 2.70000+ 1 2.70000+ 1 1.03790- 5 1.06878- 3 2.70000+ 1 2.90000+ 1 1.45305- 4 1.08738- 3 2.70000+ 1 3.00000+ 1 8.30318- 5 1.09143- 3 2.90000+ 1 2.90000+ 1 7.26636- 5 1.10598- 3 2.90000+ 1 3.00000+ 1 3.94478- 4 1.11003- 3 2.90000+ 1 4.10000+ 1 1.03812- 5 1.13143- 3 3.00000+ 1 3.00000+ 1 4.40135- 4 1.11408- 3 3.00000+ 1 4.10000+ 1 3.38578- 5 1.13548- 3 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 4.25772- 3 8.77500- 4 2.40000+ 1 1.17240- 4 1.12803- 3 2.50000+ 1 2.27321- 3 1.12872- 3 3.00000+ 1 8.82164- 4 1.11124- 3 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.80000+ 1 9.21746- 4 4.90050- 4 1.60000+ 1 1.90000+ 1 5.34440- 3 5.19800- 4 1.60000+ 1 2.10000+ 1 7.83635- 3 6.32340- 4 1.60000+ 1 2.20000+ 1 8.60466- 2 6.37660- 4 1.60000+ 1 2.40000+ 1 3.17359- 3 7.70330- 4 1.60000+ 1 2.50000+ 1 1.04034- 2 7.71020- 4 1.60000+ 1 2.70000+ 1 2.10168- 5 7.30890- 4 1.60000+ 1 2.90000+ 1 5.10404- 5 7.49490- 4 1.60000+ 1 3.00000+ 1 4.89387- 4 7.53540- 4 1.60000+ 1 4.10000+ 1 3.00246- 6 7.74940- 4 1.80000+ 1 1.80000+ 1 1.20095- 5 5.57700- 4 1.80000+ 1 1.90000+ 1 1.26668- 2 5.87450- 4 1.80000+ 1 2.10000+ 1 7.74590- 4 6.99990- 4 1.80000+ 1 2.20000+ 1 8.52830- 2 7.05310- 4 1.80000+ 1 2.40000+ 1 1.41111- 3 8.37980- 4 1.80000+ 1 2.50000+ 1 5.06791- 3 8.38670- 4 1.80000+ 1 2.70000+ 1 9.30700- 5 7.98540- 4 1.80000+ 1 2.90000+ 1 6.00449- 6 8.17140- 4 1.80000+ 1 3.00000+ 1 1.14994- 3 8.21190- 4 1.80000+ 1 4.10000+ 1 6.00449- 6 8.42590- 4 1.90000+ 1 1.90000+ 1 9.76438- 3 6.17200- 4 1.90000+ 1 2.10000+ 1 7.97489- 3 7.29740- 4 1.90000+ 1 2.20000+ 1 1.37499- 1 7.35060- 4 1.90000+ 1 2.40000+ 1 2.35699- 3 8.67730- 4 1.90000+ 1 2.50000+ 1 5.59977- 3 8.68420- 4 1.90000+ 1 2.70000+ 1 6.27537- 4 8.28290- 4 1.90000+ 1 2.90000+ 1 1.12595- 3 8.46890- 4 1.90000+ 1 3.00000+ 1 1.83461- 3 8.50940- 4 1.90000+ 1 4.10000+ 1 4.80414- 5 8.72340- 4 2.10000+ 1 2.10000+ 1 1.71133- 3 8.42280- 4 2.10000+ 1 2.20000+ 1 1.76691- 1 8.47600- 4 2.10000+ 1 2.40000+ 1 1.71422- 3 9.80270- 4 2.10000+ 1 2.50000+ 1 2.25349- 2 9.80960- 4 2.10000+ 1 2.70000+ 1 6.45496- 4 9.40830- 4 2.10000+ 1 2.90000+ 1 1.02077- 4 9.59430- 4 2.10000+ 1 3.00000+ 1 7.23557- 4 9.63480- 4 2.10000+ 1 4.10000+ 1 4.80369- 5 9.84880- 4 2.20000+ 1 2.20000+ 1 2.02534- 1 8.52920- 4 2.20000+ 1 2.40000+ 1 4.12310- 2 9.85590- 4 2.20000+ 1 2.50000+ 1 6.12753- 2 9.86280- 4 2.20000+ 1 2.70000+ 1 1.23496- 2 9.46150- 4 2.20000+ 1 2.90000+ 1 1.07279- 2 9.64750- 4 2.20000+ 1 3.00000+ 1 1.69594- 2 9.68800- 4 2.20000+ 1 4.10000+ 1 9.93826- 4 9.90200- 4 2.40000+ 1 2.40000+ 1 7.65619- 4 1.11826- 3 2.40000+ 1 2.50000+ 1 3.07955- 2 1.11895- 3 2.40000+ 1 2.70000+ 1 3.68967- 4 1.07882- 3 2.40000+ 1 2.90000+ 1 1.69111- 4 1.09742- 3 2.40000+ 1 3.00000+ 1 2.15229- 4 1.10147- 3 2.40000+ 1 4.10000+ 1 2.76731- 5 1.12287- 3 2.50000+ 1 2.50000+ 1 1.79667- 2 1.11964- 3 2.50000+ 1 2.70000+ 1 1.53814- 3 1.07951- 3 2.50000+ 1 2.90000+ 1 6.39903- 4 1.09811- 3 2.50000+ 1 3.00000+ 1 6.15283- 4 1.10216- 3 2.50000+ 1 4.10000+ 1 1.23062- 4 1.12356- 3 2.70000+ 1 2.90000+ 1 3.88320- 5 1.05798- 3 2.70000+ 1 3.00000+ 1 3.88320- 4 1.06203- 3 2.90000+ 1 3.00000+ 1 4.36272- 4 1.08063- 3 3.00000+ 1 3.00000+ 1 5.12899- 4 1.08468- 3 3.00000+ 1 4.10000+ 1 3.41931- 5 1.10608- 3 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.45883- 5 6.76500- 5 1.90000+ 1 8.87784- 5 9.74000- 5 2.90000+ 1 3.74187- 5 3.27090- 4 3.00000+ 1 2.97116- 5 3.31140- 4 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 2.66378- 2 5.78800- 5 1.80000+ 1 2.50000+ 1 3.99021- 2 5.85700- 5 1.80000+ 1 2.70000+ 1 4.77890- 2 1.84400- 5 1.80000+ 1 2.90000+ 1 3.76344- 2 3.70400- 5 1.80000+ 1 3.00000+ 1 7.66748- 2 4.10900- 5 1.80000+ 1 4.10000+ 1 3.71859- 3 6.24900- 5 1.90000+ 1 2.40000+ 1 1.00552- 1 8.76300- 5 1.90000+ 1 2.50000+ 1 1.20557- 1 8.83200- 5 1.90000+ 1 2.70000+ 1 5.97973- 2 4.81900- 5 1.90000+ 1 2.90000+ 1 6.07680- 2 6.67900- 5 1.90000+ 1 3.00000+ 1 7.95751- 2 7.08400- 5 1.90000+ 1 4.10000+ 1 4.75259- 3 9.22400- 5 2.10000+ 1 2.10000+ 1 4.61408- 3 6.21800- 5 2.10000+ 1 2.20000+ 1 2.36019- 2 6.75000- 5 2.10000+ 1 2.40000+ 1 3.63932- 3 2.00170- 4 2.10000+ 1 2.50000+ 1 8.80155- 3 2.00860- 4 2.10000+ 1 2.70000+ 1 2.01750- 2 1.60730- 4 2.10000+ 1 2.90000+ 1 4.06496- 3 1.79330- 4 2.10000+ 1 3.00000+ 1 1.22006- 2 1.83380- 4 2.10000+ 1 4.10000+ 1 1.33781- 3 2.04780- 4 2.20000+ 1 2.20000+ 1 1.22201- 2 7.28200- 5 2.20000+ 1 2.40000+ 1 1.00487- 2 2.05490- 4 2.20000+ 1 2.50000+ 1 8.77427- 3 2.06180- 4 2.20000+ 1 2.70000+ 1 2.92510- 2 1.66050- 4 2.20000+ 1 2.90000+ 1 1.14553- 2 1.84650- 4 2.20000+ 1 3.00000+ 1 1.15890- 2 1.88700- 4 2.20000+ 1 4.10000+ 1 1.93502- 3 2.10100- 4 2.40000+ 1 2.40000+ 1 1.28924- 3 3.38160- 4 2.40000+ 1 2.50000+ 1 3.92620- 3 3.38850- 4 2.40000+ 1 2.70000+ 1 8.52360- 3 2.98720- 4 2.40000+ 1 2.90000+ 1 1.04497- 3 3.17320- 4 2.40000+ 1 3.00000+ 1 2.57345- 3 3.21370- 4 2.40000+ 1 4.10000+ 1 5.15035- 4 3.42770- 4 2.50000+ 1 2.50000+ 1 2.30977- 3 3.39540- 4 2.50000+ 1 2.70000+ 1 1.09559- 2 2.99410- 4 2.50000+ 1 2.90000+ 1 7.40567- 4 3.18010- 4 2.50000+ 1 3.00000+ 1 3.22388- 3 3.22060- 4 2.50000+ 1 4.10000+ 1 6.61429- 4 3.43460- 4 2.70000+ 1 2.70000+ 1 1.75933- 2 2.59280- 4 2.70000+ 1 2.90000+ 1 2.14226- 2 2.77880- 4 2.70000+ 1 3.00000+ 1 3.69963- 2 2.81930- 4 2.70000+ 1 4.10000+ 1 2.50406- 3 3.03330- 4 2.90000+ 1 2.90000+ 1 5.80754- 3 2.96480- 4 2.90000+ 1 3.00000+ 1 2.45896- 2 3.00530- 4 2.90000+ 1 4.10000+ 1 4.57481- 3 3.21930- 4 3.00000+ 1 3.00000+ 1 2.03434- 2 3.04580- 4 3.00000+ 1 4.10000+ 1 8.16644- 3 3.25980- 4 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.86511- 4 1.42290- 4 2.70000+ 1 6.30528- 5 2.40840- 4 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 4.63220- 2 1.99800- 5 1.90000+ 1 2.50000+ 1 3.54084- 2 2.06700- 5 1.90000+ 1 2.90000+ 1 1.20459- 2 0.00000+ 0 1.90000+ 1 3.00000+ 1 1.20447- 2 3.19000- 6 1.90000+ 1 4.10000+ 1 1.37913- 3 2.45900- 5 2.10000+ 1 2.10000+ 1 2.37467- 2 0.00000+ 0 2.10000+ 1 2.20000+ 1 3.20923- 1 0.00000+ 0 2.10000+ 1 2.40000+ 1 9.12399- 2 1.32520- 4 2.10000+ 1 2.50000+ 1 1.88985- 1 1.33210- 4 2.10000+ 1 2.70000+ 1 3.79629- 2 9.30800- 5 2.10000+ 1 2.90000+ 1 2.67329- 2 1.11680- 4 2.10000+ 1 3.00000+ 1 4.91334- 2 1.15730- 4 2.10000+ 1 4.10000+ 1 3.00653- 3 1.37130- 4 2.20000+ 1 2.20000+ 1 1.84586- 2 5.17000- 6 2.20000+ 1 2.40000+ 1 2.38885- 2 1.37840- 4 2.20000+ 1 2.50000+ 1 6.34651- 3 1.38530- 4 2.20000+ 1 2.70000+ 1 6.40363- 3 9.84000- 5 2.20000+ 1 2.90000+ 1 2.71910- 2 1.17000- 4 2.20000+ 1 3.00000+ 1 5.98259- 3 1.21050- 4 2.20000+ 1 4.10000+ 1 4.49145- 4 1.42450- 4 2.40000+ 1 2.40000+ 1 7.32192- 4 2.70510- 4 2.40000+ 1 2.50000+ 1 6.20881- 3 2.71200- 4 2.40000+ 1 2.70000+ 1 2.04064- 3 2.31070- 4 2.40000+ 1 2.90000+ 1 7.30687- 3 2.49670- 4 2.40000+ 1 3.00000+ 1 2.61536- 3 2.53720- 4 2.40000+ 1 4.10000+ 1 1.59133- 4 2.75120- 4 2.50000+ 1 2.50000+ 1 2.24494- 4 2.71890- 4 2.50000+ 1 2.70000+ 1 1.07572- 3 2.31760- 4 2.50000+ 1 2.90000+ 1 1.23072- 2 2.50360- 4 2.50000+ 1 3.00000+ 1 9.60870- 4 2.54410- 4 2.50000+ 1 4.10000+ 1 7.06712- 5 2.75810- 4 2.70000+ 1 2.70000+ 1 1.93236- 4 1.91630- 4 2.70000+ 1 2.90000+ 1 3.26340- 3 2.10230- 4 2.70000+ 1 3.00000+ 1 5.14656- 4 2.14280- 4 2.70000+ 1 4.10000+ 1 2.60115- 5 2.35680- 4 2.90000+ 1 2.90000+ 1 5.87019- 3 2.28830- 4 2.90000+ 1 3.00000+ 1 1.66943- 2 2.32880- 4 2.90000+ 1 4.10000+ 1 8.57504- 4 2.54280- 4 3.00000+ 1 3.00000+ 1 7.50483- 4 2.36930- 4 3.00000+ 1 4.10000+ 1 1.28597- 4 2.58330- 4 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 7.49954- 6 1.12540- 4 2.20000+ 1 8.05574- 5 1.17860- 4 2.70000+ 1 3.00042- 5 2.11090- 4 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.75083- 2 1.02770- 4 2.10000+ 1 2.50000+ 1 5.20007- 2 1.03460- 4 2.10000+ 1 2.70000+ 1 1.66545- 2 6.33300- 5 2.10000+ 1 2.90000+ 1 1.24120- 2 8.19300- 5 2.10000+ 1 3.00000+ 1 4.83323- 2 8.59800- 5 2.10000+ 1 4.10000+ 1 1.31294- 3 1.07380- 4 2.20000+ 1 2.40000+ 1 2.29890- 1 1.08090- 4 2.20000+ 1 2.50000+ 1 2.35642- 1 1.08780- 4 2.20000+ 1 2.70000+ 1 8.61819- 2 6.86500- 5 2.20000+ 1 2.90000+ 1 8.32778- 2 8.72500- 5 2.20000+ 1 3.00000+ 1 1.25920- 1 9.13000- 5 2.20000+ 1 4.10000+ 1 7.08235- 3 1.12700- 4 2.40000+ 1 2.40000+ 1 2.68272- 4 2.40760- 4 2.40000+ 1 2.50000+ 1 9.25397- 3 2.41450- 4 2.40000+ 1 2.70000+ 1 3.02452- 3 2.01320- 4 2.40000+ 1 2.90000+ 1 1.31410- 3 2.19920- 4 2.40000+ 1 3.00000+ 1 1.92701- 2 2.23970- 4 2.40000+ 1 4.10000+ 1 1.85181- 4 2.45370- 4 2.50000+ 1 2.50000+ 1 3.23801- 3 2.42140- 4 2.50000+ 1 2.70000+ 1 6.44508- 3 2.02010- 4 2.50000+ 1 2.90000+ 1 5.35732- 3 2.20610- 4 2.50000+ 1 3.00000+ 1 2.33853- 2 2.24660- 4 2.50000+ 1 4.10000+ 1 4.39452- 4 2.46060- 4 2.70000+ 1 2.70000+ 1 2.13484- 5 1.61880- 4 2.70000+ 1 2.90000+ 1 2.02554- 4 1.80480- 4 2.70000+ 1 3.00000+ 1 3.89074- 3 1.84530- 4 2.70000+ 1 4.10000+ 1 3.47507- 6 2.05930- 4 2.90000+ 1 2.90000+ 1 1.89101- 5 1.99080- 4 2.90000+ 1 3.00000+ 1 1.97644- 3 2.03130- 4 2.90000+ 1 4.10000+ 1 7.56428- 6 2.24530- 4 3.00000+ 1 3.00000+ 1 5.04013- 3 2.07180- 4 3.00000+ 1 4.10000+ 1 3.24498- 4 2.28580- 4 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 5.35870- 6 1.37990- 4 2.90000+ 1 9.62489- 6 1.17150- 4 3.00000+ 1 1.55605- 6 1.21200- 4 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 2.40000+ 1 4.97867- 2 0.00000+ 0 2.20000+ 1 2.50000+ 1 6.09235- 3 0.00000+ 0 2.20000+ 1 4.10000+ 1 3.25740- 4 1.60000- 7 2.40000+ 1 2.40000+ 1 9.06733- 2 1.28220- 4 2.40000+ 1 2.50000+ 1 3.46996- 1 1.28910- 4 2.40000+ 1 2.70000+ 1 6.76267- 2 8.87800- 5 2.40000+ 1 2.90000+ 1 5.70390- 2 1.07380- 4 2.40000+ 1 3.00000+ 1 9.14799- 2 1.11430- 4 2.40000+ 1 4.10000+ 1 5.49312- 3 1.32830- 4 2.50000+ 1 2.50000+ 1 1.98534- 3 1.29600- 4 2.50000+ 1 2.70000+ 1 4.16183- 3 8.94700- 5 2.50000+ 1 2.90000+ 1 1.18515- 2 1.08070- 4 2.50000+ 1 3.00000+ 1 3.93152- 3 1.12120- 4 2.50000+ 1 4.10000+ 1 2.85736- 4 1.33520- 4 2.70000+ 1 2.70000+ 1 1.55319- 2 4.93400- 5 2.70000+ 1 2.90000+ 1 1.30736- 2 6.79400- 5 2.70000+ 1 3.00000+ 1 1.58034- 2 7.19900- 5 2.70000+ 1 4.10000+ 1 1.38393- 3 9.33900- 5 2.90000+ 1 2.90000+ 1 3.75465- 2 8.65400- 5 2.90000+ 1 3.00000+ 1 1.19312- 1 9.05900- 5 2.90000+ 1 4.10000+ 1 4.70119- 3 1.11990- 4 3.00000+ 1 3.00000+ 1 5.08067- 2 9.46400- 5 3.00000+ 1 4.10000+ 1 4.09615- 3 1.16040- 4 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.86760- 7 1.32670- 4 2.50000+ 1 5.81030- 6 1.33360- 4 3.00000+ 1 1.12920- 5 1.15880- 4 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 7.87621- 3 1.22900- 4 2.40000+ 1 2.50000+ 1 3.66913- 1 1.23590- 4 2.40000+ 1 2.70000+ 1 1.26975- 2 8.34600- 5 2.40000+ 1 2.90000+ 1 7.13073- 3 1.02060- 4 2.40000+ 1 3.00000+ 1 2.69421- 2 1.06110- 4 2.40000+ 1 4.10000+ 1 9.40828- 4 1.27510- 4 2.50000+ 1 2.50000+ 1 2.24120- 1 1.24280- 4 2.50000+ 1 2.70000+ 1 9.36559- 2 8.41500- 5 2.50000+ 1 2.90000+ 1 9.15946- 2 1.02750- 4 2.50000+ 1 3.00000+ 1 1.24727- 1 1.06800- 4 2.50000+ 1 4.10000+ 1 7.68226- 3 1.28200- 4 2.70000+ 1 2.70000+ 1 7.95965- 3 4.40200- 5 2.70000+ 1 2.90000+ 1 3.78626- 3 6.26200- 5 2.70000+ 1 3.00000+ 1 9.98350- 3 6.66700- 5 2.70000+ 1 4.10000+ 1 7.00605- 4 8.80700- 5 2.90000+ 1 2.90000+ 1 7.56691- 4 8.12200- 5 2.90000+ 1 3.00000+ 1 7.38399- 3 8.52700- 5 2.90000+ 1 4.10000+ 1 1.61119- 4 1.06670- 4 3.00000+ 1 3.00000+ 1 4.54304- 3 8.93200- 5 3.00000+ 1 4.10000+ 1 4.27260- 4 1.10720- 4 1 63000 0 7 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 2.54791- 8 1.86000- 5 3.00000+ 1 9.32413- 8 2.26500- 5 1 63000 0 9 1.51960+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 4.04261- 1 1.34400- 5 3.00000+ 1 4.10000+ 1 5.87882- 1 1.74900- 5 4.10000+ 1 4.10000+ 1 7.85712- 3 3.88900- 5 1 64000 0 0 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 3.00000+ 0 2.50000+ 1 4.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000- 1 3.30000+ 1 6.00000- 1 4.10000+ 1 2.00000+ 0 1 64000 0 0 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.03030- 2 3.00000+ 0 8.34980- 3 5.00000+ 0 7.94700- 3 6.00000+ 0 7.24270- 3 8.00000+ 0 1.86460- 3 1.00000+ 1 1.68690- 3 1.10000+ 1 1.54180- 3 1.30000+ 1 1.23160- 3 1.40000+ 1 1.19980- 3 1.60000+ 1 3.81390- 4 1.80000+ 1 3.11300- 4 1.90000+ 1 2.78860- 4 2.10000+ 1 1.62160- 4 2.20000+ 1 1.56300- 4 2.40000+ 1 1.70300- 5 2.50000+ 1 1.62000- 5 2.70000+ 1 5.46600- 5 2.90000+ 1 3.48300- 5 3.00000+ 1 3.01800- 5 3.20000+ 1 5.19000- 6 3.30000+ 1 4.85000- 6 4.10000+ 1 5.71000- 6 1 64000 0 0 1.57250+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.57860- 2 3.00000+ 0 1.49430- 2 5.00000+ 0 1.49490- 2 6.00000+ 0 1.23460- 2 8.00000+ 0 4.60580- 3 1.00000+ 1 4.52110- 3 1.10000+ 1 3.90840- 3 1.30000+ 1 3.77390- 3 1.40000+ 1 3.63050- 3 1.60000+ 1 1.43750- 3 1.80000+ 1 1.34760- 3 1.90000+ 1 1.17410- 3 2.10000+ 1 1.00000- 3 2.20000+ 1 9.62170- 4 2.40000+ 1 5.98850- 4 2.50000+ 1 5.87090- 4 2.70000+ 1 3.11990- 4 2.90000+ 1 2.50030- 4 3.00000+ 1 2.13100- 4 3.20000+ 1 8.77400- 5 3.30000+ 1 8.18900- 5 4.10000+ 1 3.45100- 5 1 64000 0 0 1.57250+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.15770-10 3.00000+ 0 4.89260-10 5.00000+ 0 4.08170-10 6.00000+ 0 4.44080-10 8.00000+ 0 1.28400- 9 1.00000+ 1 1.22760- 9 1.10000+ 1 1.29630- 9 1.30000+ 1 1.14730- 9 1.40000+ 1 1.16850- 9 1.60000+ 1 2.90390- 9 1.80000+ 1 2.96030- 9 1.90000+ 1 3.11400- 9 2.10000+ 1 3.28540- 9 2.20000+ 1 3.33830- 9 2.40000+ 1 4.24770- 9 2.50000+ 1 4.29790- 9 2.70000+ 1 6.92770- 9 2.90000+ 1 7.70770- 9 3.00000+ 1 8.18660- 9 3.20000+ 1 1.31370- 8 3.30000+ 1 1.35930- 8 4.10000+ 1 2.09260- 8 1 64000 0 0 1.57250+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.03790- 5 3.00000+ 0 3.92170- 7 5.00000+ 0 6.69830- 7 6.00000+ 0 6.14250- 7 8.00000+ 0 1.22310- 8 1.00000+ 1 1.25030- 8 1.10000+ 1 1.28570- 8 1.30000+ 1 6.92270- 9 1.40000+ 1 6.51640- 9 1.60000+ 1 3.22690-10 1.80000+ 1 6.18910-10 1.90000+ 1 4.29700-10 2.10000+ 1 2.90900-10 2.20000+ 1 2.64960-10 2.70000+ 1 1.61030-11 1 64000 0 0 1.57250+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.45270- 6 3.00000+ 0 4.20310- 6 5.00000+ 0 3.03850- 6 6.00000+ 0 2.93110- 6 8.00000+ 0 1.57980- 5 1.00000+ 1 7.66400- 6 1.10000+ 1 8.10080- 6 1.30000+ 1 1.32370- 6 1.40000+ 1 9.44770- 7 1.60000+ 1 1.06430- 5 1.80000+ 1 8.79660- 6 1.90000+ 1 6.85980- 6 2.10000+ 1 2.14760- 6 2.20000+ 1 2.09110- 6 2.70000+ 1 1.54280- 6 1 64000 0 0 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.71553- 4 3.00000+ 0 2.10339- 4 5.00000+ 0 1.78231- 4 6.00000+ 0 1.68351- 4 8.00000+ 0 1.55245- 4 1.00000+ 1 1.30622- 4 1.10000+ 1 1.21747- 4 1.30000+ 1 8.77909- 5 1.40000+ 1 8.35663- 5 1.60000+ 1 8.13780- 5 1.80000+ 1 6.68498- 5 1.90000+ 1 6.18832- 5 2.10000+ 1 4.33973- 5 2.20000+ 1 3.94077- 5 2.40000+ 1 1.70300- 5 2.50000+ 1 1.62000- 5 2.70000+ 1 3.75901- 5 2.90000+ 1 3.48300- 5 3.00000+ 1 3.01800- 5 3.20000+ 1 5.19000- 6 3.30000+ 1 4.85000- 6 4.10000+ 1 5.71000- 6 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.10084+ 0 3.00000+ 0 1.90254- 1 5.00000+ 0 2.15400- 1 6.00000+ 0 1.78858- 1 8.00000+ 0 1.04527- 2 1.00000+ 1 1.07931- 2 1.10000+ 1 1.02708- 2 1.30000+ 1 9.10349- 3 1.40000+ 1 8.57392- 3 1.60000+ 1 3.52878- 4 1.80000+ 1 4.28001- 4 1.90000+ 1 1.51871- 4 2.10000+ 1 2.23390- 5 2.20000+ 1 2.20634- 5 2.70000+ 1 1.80948- 7 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.21554- 2 3.00000+ 0 1.18412- 3 5.00000+ 0 1.37334- 3 6.00000+ 0 1.02592- 3 8.00000+ 0 1.18584- 5 1.00000+ 1 1.19584- 5 1.10000+ 1 1.13871- 5 1.30000+ 1 9.46342- 6 1.40000+ 1 8.90973- 6 1.60000+ 1 6.31156- 8 1.80000+ 1 7.11946- 8 1.90000+ 1 2.22846- 8 2.10000+ 1 3.01231- 9 2.20000+ 1 2.91759- 9 2.70000+ 1 4.25505-12 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.83600+ 0 3.00000+ 0 9.80109+ 0 5.00000+ 0 8.14884+ 0 6.00000+ 0 7.70751+ 0 8.00000+ 0 6.96196+ 0 1.00000+ 1 5.66748+ 0 1.10000+ 1 5.28378+ 0 1.30000+ 1 3.49881+ 0 1.40000+ 1 3.37303+ 0 1.60000+ 1 2.96181+ 0 1.80000+ 1 2.35953+ 0 1.90000+ 1 2.14617+ 0 2.10000+ 1 1.16959+ 0 2.20000+ 1 1.12657+ 0 2.70000+ 1 1.00000+ 0 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.97606- 3 3.00000+ 0 6.95534- 3 5.00000+ 0 6.39543- 3 6.00000+ 0 6.04843- 3 8.00000+ 0 1.69750- 3 1.00000+ 1 1.54432- 3 1.10000+ 1 1.40867- 3 1.30000+ 1 1.13435- 3 1.40000+ 1 1.10732- 3 1.60000+ 1 2.99949- 4 1.80000+ 1 2.44379- 4 1.90000+ 1 2.16954- 4 2.10000+ 1 1.18760- 4 2.20000+ 1 1.16889- 4 2.70000+ 1 1.70699- 5 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.68220- 1 4.23560- 2 6.00000+ 0 4.82240- 1 4.30603- 2 1.00000+ 1 4.90060- 2 4.86161- 2 1.10000+ 1 9.47869- 2 4.87612- 2 1.30000+ 1 7.47609- 4 4.90714- 2 1.40000+ 1 9.84989- 4 4.91032- 2 1.80000+ 1 1.07690- 2 4.99917- 2 1.90000+ 1 2.09040- 2 5.00241- 2 2.10000+ 1 1.68470- 4 5.01408- 2 2.20000+ 1 2.21410- 4 5.01467- 2 2.90000+ 1 2.26800- 3 5.02682- 2 3.00000+ 1 4.67370- 3 5.02728- 2 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 5.80221- 3 3.36034- 2 3.00000+ 0 5.00000+ 0 7.49325- 3 3.40062- 2 3.00000+ 0 6.00000+ 0 7.02906- 3 3.47105- 2 3.00000+ 0 8.00000+ 0 2.19695- 3 4.00886- 2 3.00000+ 0 1.00000+ 1 1.53179- 3 4.02663- 2 3.00000+ 0 1.10000+ 1 1.48254- 3 4.04114- 2 3.00000+ 0 1.30000+ 1 1.08988- 4 4.07216- 2 3.00000+ 0 1.40000+ 1 1.04845- 4 4.07534- 2 3.00000+ 0 1.60000+ 1 5.14124- 4 4.15718- 2 3.00000+ 0 1.80000+ 1 3.44873- 4 4.16419- 2 3.00000+ 0 1.90000+ 1 3.31712- 4 4.16743- 2 3.00000+ 0 2.10000+ 1 2.42334- 5 4.17910- 2 3.00000+ 0 2.20000+ 1 2.30159- 5 4.17969- 2 3.00000+ 0 2.70000+ 1 8.74346- 5 4.18985- 2 3.00000+ 0 2.90000+ 1 4.83464- 5 4.19184- 2 3.00000+ 0 3.00000+ 1 4.46913- 5 4.19230- 2 3.00000+ 0 3.20000+ 1 2.43555- 7 4.19480- 2 3.00000+ 0 4.10000+ 1 7.67204- 6 4.19475- 2 5.00000+ 0 5.00000+ 0 7.07999- 4 3.44090- 2 5.00000+ 0 6.00000+ 0 1.41137- 2 3.51133- 2 5.00000+ 0 8.00000+ 0 1.19251- 3 4.04914- 2 5.00000+ 0 1.00000+ 1 2.56352- 4 4.06691- 2 5.00000+ 0 1.10000+ 1 2.47627- 3 4.08142- 2 5.00000+ 0 1.30000+ 1 1.22026- 4 4.11244- 2 5.00000+ 0 1.40000+ 1 3.81416- 4 4.11562- 2 5.00000+ 0 1.60000+ 1 2.68653- 4 4.19746- 2 5.00000+ 0 1.80000+ 1 5.63863- 5 4.20447- 2 5.00000+ 0 1.90000+ 1 5.33388- 4 4.20771- 2 5.00000+ 0 2.10000+ 1 2.64267- 5 4.21938- 2 5.00000+ 0 2.20000+ 1 8.24435- 5 4.21997- 2 5.00000+ 0 2.40000+ 1 3.65343- 7 4.23390- 2 5.00000+ 0 2.50000+ 1 1.21781- 7 4.23398- 2 5.00000+ 0 2.70000+ 1 4.53005- 5 4.23013- 2 5.00000+ 0 2.90000+ 1 7.91548- 6 4.23212- 2 5.00000+ 0 3.00000+ 1 7.13588- 5 4.23258- 2 5.00000+ 0 3.20000+ 1 3.65343- 7 4.23508- 2 5.00000+ 0 4.10000+ 1 4.01866- 6 4.23503- 2 6.00000+ 0 6.00000+ 0 6.69248- 3 3.58176- 2 6.00000+ 0 8.00000+ 0 1.06588- 3 4.11957- 2 6.00000+ 0 1.00000+ 1 2.36947- 3 4.13734- 2 6.00000+ 0 1.10000+ 1 2.41920- 3 4.15185- 2 6.00000+ 0 1.30000+ 1 4.43762- 4 4.18287- 2 6.00000+ 0 1.40000+ 1 3.95182- 4 4.18605- 2 6.00000+ 0 1.60000+ 1 2.37592- 4 4.26789- 2 6.00000+ 0 1.80000+ 1 5.13064- 4 4.27490- 2 6.00000+ 0 1.90000+ 1 5.25014- 4 4.27814- 2 6.00000+ 0 2.10000+ 1 9.64477- 5 4.28981- 2 6.00000+ 0 2.20000+ 1 8.56101- 5 4.29040- 2 6.00000+ 0 2.40000+ 1 8.52457- 7 4.30433- 2 6.00000+ 0 2.50000+ 1 1.21781- 7 4.30441- 2 6.00000+ 0 2.70000+ 1 3.99442- 5 4.30056- 2 6.00000+ 0 2.90000+ 1 7.13587- 5 4.30255- 2 6.00000+ 0 3.00000+ 1 7.03905- 5 4.30301- 2 6.00000+ 0 3.20000+ 1 1.09607- 6 4.30551- 2 6.00000+ 0 4.10000+ 1 3.53159- 6 4.30546- 2 8.00000+ 0 8.00000+ 0 2.04701- 4 4.65738- 2 8.00000+ 0 1.00000+ 1 2.45630- 4 4.67515- 2 8.00000+ 0 1.10000+ 1 2.26997- 4 4.68966- 2 8.00000+ 0 1.30000+ 1 1.59532- 5 4.72068- 2 8.00000+ 0 1.40000+ 1 1.47349- 5 4.72386- 2 8.00000+ 0 1.60000+ 1 9.54712- 5 4.80570- 2 8.00000+ 0 1.80000+ 1 5.54094- 5 4.81271- 2 8.00000+ 0 1.90000+ 1 5.09032- 5 4.81595- 2 8.00000+ 0 2.10000+ 1 3.53154- 6 4.82762- 2 8.00000+ 0 2.20000+ 1 3.16623- 6 4.82821- 2 8.00000+ 0 2.70000+ 1 1.61965- 5 4.83837- 2 8.00000+ 0 2.90000+ 1 7.79371- 6 4.84036- 2 8.00000+ 0 3.00000+ 1 6.81989- 6 4.84082- 2 8.00000+ 0 4.10000+ 1 1.46137- 6 4.84327- 2 1.00000+ 1 1.00000+ 1 2.24076- 5 4.69292- 2 1.00000+ 1 1.10000+ 1 4.24273- 4 4.70743- 2 1.00000+ 1 1.30000+ 1 1.65619- 5 4.73845- 2 1.00000+ 1 1.40000+ 1 4.94444- 5 4.74163- 2 1.00000+ 1 1.60000+ 1 5.54094- 5 4.82347- 2 1.00000+ 1 1.80000+ 1 9.86426- 6 4.83048- 2 1.00000+ 1 1.90000+ 1 9.17008- 5 4.83372- 2 1.00000+ 1 2.10000+ 1 3.65337- 6 4.84539- 2 1.00000+ 1 2.20000+ 1 1.07162- 5 4.84598- 2 1.00000+ 1 2.70000+ 1 9.37682- 6 4.85614- 2 1.00000+ 1 2.90000+ 1 1.33963- 6 4.85813- 2 1.00000+ 1 3.00000+ 1 1.23001- 5 4.85859- 2 1.00000+ 1 4.10000+ 1 8.52444- 7 4.86104- 2 1.10000+ 1 1.10000+ 1 2.19931- 4 4.72194- 2 1.10000+ 1 1.30000+ 1 6.35680- 5 4.75296- 2 1.10000+ 1 1.40000+ 1 5.50424- 5 4.75614- 2 1.10000+ 1 1.60000+ 1 5.06604- 5 4.83798- 2 1.10000+ 1 1.80000+ 1 9.21874- 5 4.84499- 2 1.10000+ 1 1.90000+ 1 9.54702- 5 4.84823- 2 1.10000+ 1 2.10000+ 1 1.38827- 5 4.85990- 2 1.10000+ 1 2.20000+ 1 1.20556- 5 4.86049- 2 1.10000+ 1 2.40000+ 1 1.21778- 7 4.87442- 2 1.10000+ 1 2.70000+ 1 8.52436- 6 4.87065- 2 1.10000+ 1 2.90000+ 1 1.27865- 5 4.87264- 2 1.10000+ 1 3.00000+ 1 1.27865- 5 4.87310- 2 1.10000+ 1 3.20000+ 1 1.21778- 7 4.87560- 2 1.10000+ 1 4.10000+ 1 7.30667- 7 4.87555- 2 1.30000+ 1 1.30000+ 1 1.22106- 7 4.78398- 2 1.30000+ 1 1.40000+ 1 7.69278- 6 4.78716- 2 1.30000+ 1 1.60000+ 1 3.54103- 6 4.86900- 2 1.30000+ 1 1.80000+ 1 3.41896- 6 4.87601- 2 1.30000+ 1 1.90000+ 1 1.31874- 5 4.87925- 2 1.30000+ 1 2.20000+ 1 1.58737- 6 4.89151- 2 1.30000+ 1 2.70000+ 1 6.10513- 7 4.90167- 2 1.30000+ 1 2.90000+ 1 4.88416- 7 4.90366- 2 1.30000+ 1 3.00000+ 1 1.70943- 6 4.90412- 2 1.40000+ 1 1.40000+ 1 1.82668- 6 4.79034- 2 1.40000+ 1 1.60000+ 1 3.28804- 6 4.87218- 2 1.40000+ 1 1.80000+ 1 1.01075- 5 4.87919- 2 1.40000+ 1 1.90000+ 1 1.13249- 5 4.88243- 2 1.40000+ 1 2.10000+ 1 1.58310- 6 4.89410- 2 1.40000+ 1 2.20000+ 1 7.30670- 7 4.89469- 2 1.40000+ 1 2.70000+ 1 4.87104- 7 4.90485- 2 1.40000+ 1 2.90000+ 1 1.33962- 6 4.90684- 2 1.40000+ 1 3.00000+ 1 1.46136- 6 4.90730- 2 1.60000+ 1 1.60000+ 1 1.09692- 5 4.95402- 2 1.60000+ 1 1.80000+ 1 1.24161- 5 4.96103- 2 1.60000+ 1 1.90000+ 1 1.12101- 5 4.96427- 2 1.60000+ 1 2.10000+ 1 7.23263- 7 4.97594- 2 1.60000+ 1 2.20000+ 1 7.23263- 7 4.97653- 2 1.60000+ 1 2.70000+ 1 3.73683- 6 4.98669- 2 1.60000+ 1 2.90000+ 1 1.68755- 6 4.98868- 2 1.60000+ 1 3.00000+ 1 1.56705- 6 4.98914- 2 1.60000+ 1 4.10000+ 1 3.61632- 7 4.99159- 2 1.80000+ 1 1.80000+ 1 1.05870- 6 4.96804- 2 1.80000+ 1 1.90000+ 1 1.92912- 5 4.97128- 2 1.80000+ 1 2.10000+ 1 7.05775- 7 4.98295- 2 1.80000+ 1 2.20000+ 1 2.11731- 6 4.98354- 2 1.80000+ 1 2.70000+ 1 1.99962- 6 4.99370- 2 1.80000+ 1 2.90000+ 1 2.35259- 7 4.99569- 2 1.80000+ 1 3.00000+ 1 2.58786- 6 4.99615- 2 1.80000+ 1 4.10000+ 1 2.35259- 7 4.99860- 2 1.90000+ 1 1.90000+ 1 1.00277- 5 4.97453- 2 1.90000+ 1 2.10000+ 1 2.83122- 6 4.98620- 2 1.90000+ 1 2.20000+ 1 2.35932- 6 4.98678- 2 1.90000+ 1 2.70000+ 1 1.88742- 6 4.99695- 2 1.90000+ 1 2.90000+ 1 2.71320- 6 4.99893- 2 1.90000+ 1 3.00000+ 1 2.71320- 6 4.99940- 2 1.90000+ 1 4.10000+ 1 1.17966- 7 5.00184- 2 2.10000+ 1 2.20000+ 1 3.65336- 7 4.99845- 2 2.10000+ 1 2.70000+ 1 1.21778- 7 5.00862- 2 2.10000+ 1 2.90000+ 1 1.21778- 7 5.01060- 2 2.10000+ 1 3.00000+ 1 3.65336- 7 5.01107- 2 2.20000+ 1 2.20000+ 1 1.21778- 7 4.99904- 2 2.20000+ 1 2.70000+ 1 1.21778- 7 5.00920- 2 2.20000+ 1 2.90000+ 1 2.43557- 7 5.01119- 2 2.20000+ 1 3.00000+ 1 3.65336- 7 5.01165- 2 2.70000+ 1 2.70000+ 1 4.25224- 7 5.01937- 2 2.70000+ 1 2.90000+ 1 2.83483- 7 5.02135- 2 2.70000+ 1 3.00000+ 1 2.83483- 7 5.02182- 2 2.90000+ 1 3.00000+ 1 3.65330- 7 5.02380- 2 3.00000+ 1 3.00000+ 1 1.21880- 7 5.02426- 2 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.92809- 5 4.02800- 4 6.00000+ 0 9.04024- 4 1.10710- 3 1.00000+ 1 2.39379- 2 6.66290- 3 1.10000+ 1 3.41518- 2 6.80800- 3 1.30000+ 1 5.10657- 4 7.11820- 3 1.40000+ 1 7.64065- 4 7.15000- 3 1.80000+ 1 5.67896- 3 8.03850- 3 1.90000+ 1 8.44465- 3 8.07094- 3 2.10000+ 1 6.97826- 5 8.18764- 3 2.20000+ 1 1.07569- 4 8.19350- 3 2.90000+ 1 7.84435- 4 8.31497- 3 3.00000+ 1 1.13049- 3 8.31962- 3 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 5.02254- 2 2.14100- 5 5.00000+ 0 1.80000+ 1 3.80496- 2 9.15000- 5 5.00000+ 0 1.90000+ 1 4.40603- 2 1.23940- 4 5.00000+ 0 2.10000+ 1 1.18658- 2 2.40640- 4 5.00000+ 0 2.20000+ 1 1.82540- 2 2.46500- 4 5.00000+ 0 2.40000+ 1 2.96209- 2 3.85770- 4 5.00000+ 0 2.50000+ 1 4.85604- 3 3.86600- 4 5.00000+ 0 2.70000+ 1 8.26643- 3 3.48140- 4 5.00000+ 0 2.90000+ 1 5.02880- 3 3.67970- 4 5.00000+ 0 3.00000+ 1 5.64924- 3 3.72620- 4 5.00000+ 0 3.20000+ 1 1.39305- 4 3.97610- 4 5.00000+ 0 4.10000+ 1 7.22838- 4 3.97090- 4 6.00000+ 0 1.60000+ 1 5.69877- 2 7.25710- 4 6.00000+ 0 1.80000+ 1 2.41932- 2 7.95800- 4 6.00000+ 0 1.90000+ 1 4.22801- 2 8.28240- 4 6.00000+ 0 2.10000+ 1 6.41925- 2 9.44940- 4 6.00000+ 0 2.20000+ 1 8.02490- 2 9.50800- 4 6.00000+ 0 2.40000+ 1 4.19702- 2 1.09007- 3 6.00000+ 0 2.50000+ 1 6.67631- 3 1.09090- 3 6.00000+ 0 2.70000+ 1 9.31797- 3 1.05244- 3 6.00000+ 0 2.90000+ 1 3.27813- 3 1.07227- 3 6.00000+ 0 3.00000+ 1 5.58175- 3 1.07692- 3 6.00000+ 0 3.20000+ 1 7.04878- 4 1.10191- 3 6.00000+ 0 4.10000+ 1 8.16090- 4 1.10139- 3 8.00000+ 0 8.00000+ 0 1.17132- 2 4.62060- 3 8.00000+ 0 1.00000+ 1 2.35253- 2 4.79830- 3 8.00000+ 0 1.10000+ 1 4.17559- 2 4.94340- 3 8.00000+ 0 1.30000+ 1 3.26376- 2 5.25360- 3 8.00000+ 0 1.40000+ 1 4.48870- 2 5.28540- 3 8.00000+ 0 1.60000+ 1 4.64974- 3 6.10381- 3 8.00000+ 0 1.80000+ 1 5.18708- 3 6.17390- 3 8.00000+ 0 1.90000+ 1 9.09906- 3 6.20634- 3 8.00000+ 0 2.10000+ 1 6.07378- 3 6.32304- 3 8.00000+ 0 2.20000+ 1 8.29253- 3 6.32890- 3 8.00000+ 0 2.40000+ 1 2.83990- 4 6.46817- 3 8.00000+ 0 2.50000+ 1 4.18498- 5 6.46900- 3 8.00000+ 0 2.70000+ 1 7.71267- 4 6.43054- 3 8.00000+ 0 2.90000+ 1 7.23439- 4 6.45037- 3 8.00000+ 0 3.00000+ 1 1.22019- 3 6.45502- 3 8.00000+ 0 3.20000+ 1 6.93523- 5 6.48001- 3 8.00000+ 0 4.10000+ 1 6.75602- 5 6.47949- 3 1.00000+ 1 1.00000+ 1 9.32701- 5 4.97600- 3 1.00000+ 1 1.10000+ 1 6.98294- 4 5.12110- 3 1.00000+ 1 1.30000+ 1 1.18077- 3 5.43130- 3 1.00000+ 1 1.40000+ 1 1.28184- 2 5.46310- 3 1.00000+ 1 1.60000+ 1 3.70264- 3 6.28151- 3 1.00000+ 1 1.80000+ 1 1.79351- 5 6.35160- 3 1.00000+ 1 1.90000+ 1 1.42288- 4 6.38404- 3 1.00000+ 1 2.10000+ 1 2.13437- 4 6.50074- 3 1.00000+ 1 2.20000+ 1 1.53475- 3 6.50660- 3 1.00000+ 1 2.40000+ 1 9.74541- 5 6.64587- 3 1.00000+ 1 2.50000+ 1 4.36445- 5 6.64670- 3 1.00000+ 1 2.70000+ 1 5.82903- 4 6.60824- 3 1.00000+ 1 2.90000+ 1 1.79351- 6 6.62807- 3 1.00000+ 1 3.00000+ 1 1.91316- 5 6.63272- 3 1.00000+ 1 3.20000+ 1 2.39133- 6 6.65771- 3 1.00000+ 1 4.10000+ 1 5.08180- 5 6.65719- 3 1.10000+ 1 1.10000+ 1 1.00559- 3 5.26620- 3 1.10000+ 1 1.30000+ 1 6.98316- 3 5.57640- 3 1.10000+ 1 1.40000+ 1 4.57440- 3 5.60820- 3 1.10000+ 1 1.60000+ 1 6.55092- 3 6.42661- 3 1.10000+ 1 1.80000+ 1 1.45887- 4 6.49670- 3 1.10000+ 1 1.90000+ 1 3.25245- 4 6.52914- 3 1.10000+ 1 2.10000+ 1 6.55264- 4 6.64584- 3 1.10000+ 1 2.20000+ 1 4.37640- 4 6.65170- 3 1.10000+ 1 2.40000+ 1 2.67239- 4 6.79097- 3 1.10000+ 1 2.50000+ 1 2.75023- 5 6.79180- 3 1.10000+ 1 2.70000+ 1 1.03016- 3 6.75334- 3 1.10000+ 1 2.90000+ 1 2.03276- 5 6.77317- 3 1.10000+ 1 3.00000+ 1 4.12530- 5 6.77782- 3 1.10000+ 1 3.20000+ 1 6.57667- 6 6.80281- 3 1.10000+ 1 4.10000+ 1 8.96807- 5 6.80229- 3 1.30000+ 1 1.30000+ 1 1.90116- 3 5.88660- 3 1.30000+ 1 1.40000+ 1 6.37199- 2 5.91840- 3 1.30000+ 1 1.60000+ 1 4.80865- 3 6.73681- 3 1.30000+ 1 1.80000+ 1 3.29428- 4 6.80690- 3 1.30000+ 1 1.90000+ 1 1.60100- 3 6.83934- 3 1.30000+ 1 2.10000+ 1 6.94719- 4 6.95604- 3 1.30000+ 1 2.20000+ 1 8.41310- 3 6.96190- 3 1.30000+ 1 2.40000+ 1 3.30629- 4 7.10117- 3 1.30000+ 1 2.50000+ 1 1.17179- 4 7.10200- 3 1.30000+ 1 2.70000+ 1 7.48523- 4 7.06354- 3 1.30000+ 1 2.90000+ 1 4.78300- 5 7.08337- 3 1.30000+ 1 3.00000+ 1 2.16428- 4 7.08802- 3 1.30000+ 1 3.20000+ 1 7.77217- 6 7.11301- 3 1.30000+ 1 4.10000+ 1 6.51678- 5 7.11249- 3 1.40000+ 1 1.40000+ 1 1.78891- 2 5.95020- 3 1.40000+ 1 1.60000+ 1 6.67281- 3 6.76861- 3 1.40000+ 1 1.80000+ 1 2.54807- 3 6.83870- 3 1.40000+ 1 1.90000+ 1 1.10194- 3 6.87114- 3 1.40000+ 1 2.10000+ 1 8.27625- 3 6.98784- 3 1.40000+ 1 2.20000+ 1 4.96588- 3 6.99370- 3 1.40000+ 1 2.40000+ 1 1.04085- 3 7.13297- 3 1.40000+ 1 2.50000+ 1 1.01036- 4 7.13380- 3 1.40000+ 1 2.70000+ 1 1.04146- 3 7.09534- 3 1.40000+ 1 2.90000+ 1 3.49148- 4 7.11517- 3 1.40000+ 1 3.00000+ 1 1.50065- 4 7.11982- 3 1.40000+ 1 3.20000+ 1 9.02773- 5 7.14481- 3 1.40000+ 1 4.10000+ 1 9.08750- 5 7.14429- 3 1.60000+ 1 1.60000+ 1 4.36456- 4 7.58702- 3 1.60000+ 1 1.80000+ 1 8.19086- 4 7.65711- 3 1.60000+ 1 1.90000+ 1 1.43251- 3 7.68955- 3 1.60000+ 1 2.10000+ 1 8.93811- 4 7.80625- 3 1.60000+ 1 2.20000+ 1 1.22684- 3 7.81211- 3 1.60000+ 1 2.40000+ 1 3.40790- 5 7.95138- 3 1.60000+ 1 2.50000+ 1 4.78305- 6 7.95221- 3 1.60000+ 1 2.70000+ 1 1.43493- 4 7.91375- 3 1.60000+ 1 2.90000+ 1 1.14193- 4 7.93358- 3 1.60000+ 1 3.00000+ 1 1.91906- 4 7.93823- 3 1.60000+ 1 3.20000+ 1 1.01643- 5 7.96322- 3 1.60000+ 1 4.10000+ 1 1.25552- 5 7.96270- 3 1.80000+ 1 1.80000+ 1 5.97879- 7 7.72720- 3 1.80000+ 1 1.90000+ 1 2.98929- 5 7.75964- 3 1.80000+ 1 2.10000+ 1 5.08191- 5 7.87634- 3 1.80000+ 1 2.20000+ 1 3.15669- 4 7.88220- 3 1.80000+ 1 2.40000+ 1 1.31528- 5 8.02147- 3 1.80000+ 1 2.50000+ 1 6.57661- 6 8.02230- 3 1.80000+ 1 2.70000+ 1 1.29145- 4 7.98384- 3 1.80000+ 1 3.00000+ 1 4.18493- 6 8.00832- 3 1.80000+ 1 3.20000+ 1 5.97879- 7 8.03331- 3 1.80000+ 1 4.10000+ 1 1.13596- 5 8.03279- 3 1.90000+ 1 1.90000+ 1 2.63064- 5 7.79208- 3 1.90000+ 1 2.10000+ 1 1.63816- 4 7.90878- 3 1.90000+ 1 2.20000+ 1 1.14787- 4 7.91464- 3 1.90000+ 1 2.40000+ 1 4.60350- 5 8.05391- 3 1.90000+ 1 2.50000+ 1 4.78301- 6 8.05474- 3 1.90000+ 1 2.70000+ 1 2.25384- 4 8.01628- 3 1.90000+ 1 2.90000+ 1 4.18489- 6 8.03611- 3 1.90000+ 1 3.00000+ 1 6.57655- 6 8.04076- 3 1.90000+ 1 3.20000+ 1 1.79354- 6 8.06575- 3 1.90000+ 1 4.10000+ 1 1.97295- 5 8.06523- 3 2.10000+ 1 2.10000+ 1 5.91917- 5 8.02548- 3 2.10000+ 1 2.20000+ 1 1.18203- 3 8.03134- 3 2.10000+ 1 2.40000+ 1 4.24501- 5 8.17061- 3 2.10000+ 1 2.50000+ 1 1.19576- 5 8.17144- 3 2.10000+ 1 2.70000+ 1 1.38710- 4 8.13298- 3 2.10000+ 1 2.90000+ 1 7.17461- 6 8.15281- 3 2.10000+ 1 3.00000+ 1 2.27189- 5 8.15746- 3 2.10000+ 1 3.20000+ 1 1.19576- 6 8.18245- 3 2.10000+ 1 4.10000+ 1 1.19576- 5 8.18193- 3 2.20000+ 1 2.20000+ 1 3.50946- 4 8.03720- 3 2.20000+ 1 2.40000+ 1 1.02877- 4 8.17647- 3 2.20000+ 1 2.50000+ 1 1.08600- 5 8.17730- 3 2.20000+ 1 2.70000+ 1 1.82906- 4 8.13884- 3 2.20000+ 1 2.90000+ 1 4.17259- 5 8.15867- 3 2.20000+ 1 3.00000+ 1 1.54325- 5 8.16332- 3 2.20000+ 1 3.20000+ 1 1.25744- 5 8.18831- 3 2.20000+ 1 4.10000+ 1 1.60039- 5 8.18779- 3 2.40000+ 1 2.40000+ 1 5.00836- 7 8.31574- 3 2.40000+ 1 2.50000+ 1 2.50410- 6 8.31657- 3 2.40000+ 1 2.70000+ 1 4.50750- 6 8.27811- 3 2.40000+ 1 2.90000+ 1 1.50244- 6 8.29794- 3 2.40000+ 1 3.00000+ 1 5.00836- 6 8.30259- 3 2.40000+ 1 3.20000+ 1 5.00836- 7 8.32758- 3 2.40000+ 1 4.10000+ 1 5.00836- 7 8.32706- 3 2.50000+ 1 2.50000+ 1 1.11042- 6 8.31740- 3 2.50000+ 1 2.70000+ 1 1.11042- 6 8.27894- 3 2.50000+ 1 2.90000+ 1 1.11042- 6 8.29877- 3 2.50000+ 1 3.00000+ 1 1.11042- 6 8.30342- 3 2.70000+ 1 2.70000+ 1 1.81669- 5 8.24048- 3 2.70000+ 1 2.90000+ 1 2.72495- 5 8.26031- 3 2.70000+ 1 3.00000+ 1 4.63231- 5 8.26496- 3 2.70000+ 1 3.20000+ 1 2.72495- 6 8.28995- 3 2.70000+ 1 4.10000+ 1 2.72495- 6 8.28943- 3 2.90000+ 1 3.00000+ 1 1.45769- 6 8.28479- 3 2.90000+ 1 4.10000+ 1 4.37287- 6 8.30926- 3 3.00000+ 1 3.00000+ 1 5.34021- 7 8.28944- 3 3.00000+ 1 4.10000+ 1 2.13596- 6 8.31391- 3 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 5.42864- 7 7.04300- 4 8.00000+ 0 5.18024- 3 6.08240- 3 1.10000+ 1 1.04641- 4 6.40520- 3 1.30000+ 1 1.42311- 1 6.71540- 3 1.60000+ 1 1.00571- 3 7.56561- 3 1.90000+ 1 2.24122- 5 7.66814- 3 2.10000+ 1 2.49912- 2 7.78484- 3 2.40000+ 1 1.85561- 5 7.92997- 3 2.70000+ 1 1.70461- 4 7.89234- 3 3.00000+ 1 4.97924- 6 7.91682- 3 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 8.85629- 3 3.22910- 4 6.00000+ 0 1.80000+ 1 4.76509- 2 3.93000- 4 6.00000+ 0 1.90000+ 1 1.55609- 2 4.25440- 4 6.00000+ 0 2.10000+ 1 5.89657- 2 5.42140- 4 6.00000+ 0 2.20000+ 1 2.12662- 2 5.48000- 4 6.00000+ 0 2.40000+ 1 1.36149- 3 6.87270- 4 6.00000+ 0 2.50000+ 1 2.61184- 4 6.88100- 4 6.00000+ 0 2.70000+ 1 1.36885- 3 6.49640- 4 6.00000+ 0 2.90000+ 1 6.24918- 3 6.69470- 4 6.00000+ 0 3.00000+ 1 2.06733- 3 6.74120- 4 6.00000+ 0 3.20000+ 1 6.54071- 4 6.99110- 4 6.00000+ 0 4.10000+ 1 1.19127- 4 6.98590- 4 8.00000+ 0 8.00000+ 0 8.61214- 4 4.21780- 3 8.00000+ 0 1.00000+ 1 2.34289- 2 4.39550- 3 8.00000+ 0 1.10000+ 1 2.27291- 3 4.54060- 3 8.00000+ 0 1.30000+ 1 2.32394- 3 4.85080- 3 8.00000+ 0 1.40000+ 1 2.89284- 3 4.88260- 3 8.00000+ 0 1.60000+ 1 3.15197- 4 5.70101- 3 8.00000+ 0 1.80000+ 1 3.47362- 3 5.77110- 3 8.00000+ 0 1.90000+ 1 4.40216- 4 5.80354- 3 8.00000+ 0 2.10000+ 1 3.09268- 4 5.92024- 3 8.00000+ 0 2.20000+ 1 3.27750- 4 5.92610- 3 8.00000+ 0 2.40000+ 1 7.32485- 5 6.06537- 3 8.00000+ 0 2.50000+ 1 5.91906- 6 6.06620- 3 8.00000+ 0 2.70000+ 1 5.10505- 5 6.02774- 3 8.00000+ 0 2.90000+ 1 4.51338- 4 6.04757- 3 8.00000+ 0 3.00000+ 1 5.77094- 5 6.05222- 3 8.00000+ 0 3.20000+ 1 3.69927- 6 6.07721- 3 8.00000+ 0 4.10000+ 1 4.43917- 6 6.07669- 3 1.00000+ 1 1.00000+ 1 2.35568- 2 4.57320- 3 1.00000+ 1 1.10000+ 1 6.94605- 2 4.71830- 3 1.00000+ 1 1.30000+ 1 3.71204- 2 5.02850- 3 1.00000+ 1 1.40000+ 1 6.02639- 2 5.06030- 3 1.00000+ 1 1.60000+ 1 5.59494- 3 5.87871- 3 1.00000+ 1 1.80000+ 1 8.83017- 3 5.94880- 3 1.00000+ 1 1.90000+ 1 1.48775- 2 5.98124- 3 1.00000+ 1 2.10000+ 1 6.89927- 3 6.09794- 3 1.00000+ 1 2.20000+ 1 1.11751- 2 6.10380- 3 1.00000+ 1 2.40000+ 1 3.15920- 4 6.24307- 3 1.00000+ 1 2.50000+ 1 3.77325- 5 6.24390- 3 1.00000+ 1 2.70000+ 1 9.54393- 4 6.20544- 3 1.00000+ 1 2.90000+ 1 1.20230- 3 6.22527- 3 1.00000+ 1 3.00000+ 1 1.98947- 3 6.22992- 3 1.00000+ 1 3.20000+ 1 7.91644- 5 6.25491- 3 1.00000+ 1 4.10000+ 1 8.43441- 5 6.25439- 3 1.10000+ 1 1.10000+ 1 1.76387- 3 4.86340- 3 1.10000+ 1 1.30000+ 1 4.11236- 2 5.17360- 3 1.10000+ 1 1.40000+ 1 5.63291- 3 5.20540- 3 1.10000+ 1 1.60000+ 1 4.62440- 4 6.02381- 3 1.10000+ 1 1.80000+ 1 1.06490- 2 6.09390- 3 1.10000+ 1 1.90000+ 1 6.39995- 4 6.12634- 3 1.10000+ 1 2.10000+ 1 6.47396- 3 6.24304- 3 1.10000+ 1 2.20000+ 1 8.36770- 4 6.24890- 3 1.10000+ 1 2.40000+ 1 1.84967- 4 6.38817- 3 1.10000+ 1 2.50000+ 1 1.33180- 5 6.38900- 3 1.10000+ 1 2.70000+ 1 7.62083- 5 6.35054- 3 1.10000+ 1 2.90000+ 1 1.39250- 3 6.37037- 3 1.10000+ 1 3.00000+ 1 8.28673- 5 6.37502- 3 1.10000+ 1 3.20000+ 1 7.25077- 5 6.40001- 3 1.10000+ 1 4.10000+ 1 6.65909- 6 6.39949- 3 1.30000+ 1 1.30000+ 1 3.81483- 2 5.48380- 3 1.30000+ 1 1.40000+ 1 1.59706- 1 5.51560- 3 1.30000+ 1 1.60000+ 1 5.61567- 4 6.33401- 3 1.30000+ 1 1.80000+ 1 5.64320- 3 6.40410- 3 1.30000+ 1 1.90000+ 1 8.26268- 3 6.43654- 3 1.30000+ 1 2.10000+ 1 1.19566- 2 6.55324- 3 1.30000+ 1 2.20000+ 1 2.68835- 2 6.55910- 3 1.30000+ 1 2.40000+ 1 1.26080- 3 6.69837- 3 1.30000+ 1 2.50000+ 1 3.26289- 4 6.69920- 3 1.30000+ 1 2.70000+ 1 9.61845- 5 6.66074- 3 1.30000+ 1 2.90000+ 1 7.42085- 4 6.68057- 3 1.30000+ 1 3.00000+ 1 1.09281- 3 6.68522- 3 1.30000+ 1 3.20000+ 1 1.33913- 4 6.71021- 3 1.30000+ 1 4.10000+ 1 8.13875- 6 6.70969- 3 1.40000+ 1 1.40000+ 1 7.65693- 3 5.54740- 3 1.40000+ 1 1.60000+ 1 5.70433- 4 6.36581- 3 1.40000+ 1 1.80000+ 1 8.12236- 3 6.43590- 3 1.40000+ 1 1.90000+ 1 1.03585- 3 6.46834- 3 1.40000+ 1 2.10000+ 1 2.08771- 2 6.58504- 3 1.40000+ 1 2.20000+ 1 2.34029- 3 6.59090- 3 1.40000+ 1 2.40000+ 1 5.12001- 4 6.73017- 3 1.40000+ 1 2.50000+ 1 2.51555- 5 6.73100- 3 1.40000+ 1 2.70000+ 1 9.39627- 5 6.69254- 3 1.40000+ 1 2.90000+ 1 1.03656- 3 6.71237- 3 1.40000+ 1 3.00000+ 1 1.34661- 4 6.71702- 3 1.40000+ 1 3.20000+ 1 2.27878- 4 6.74201- 3 1.40000+ 1 4.10000+ 1 8.13880- 6 6.74149- 3 1.60000+ 1 1.60000+ 1 2.81164- 5 7.18422- 3 1.60000+ 1 1.80000+ 1 8.34655- 4 7.25431- 3 1.60000+ 1 1.90000+ 1 9.02740- 5 7.28675- 3 1.60000+ 1 2.10000+ 1 7.17716- 5 7.40345- 3 1.60000+ 1 2.20000+ 1 6.58533- 5 7.40931- 3 1.60000+ 1 2.40000+ 1 1.55379- 5 7.54858- 3 1.60000+ 1 2.50000+ 1 7.39920- 7 7.54941- 3 1.60000+ 1 2.70000+ 1 8.87867- 6 7.51095- 3 1.60000+ 1 2.90000+ 1 1.08763- 4 7.53078- 3 1.60000+ 1 3.00000+ 1 1.18393- 5 7.53543- 3 1.60000+ 1 3.20000+ 1 7.39920- 7 7.56042- 3 1.60000+ 1 4.10000+ 1 7.39920- 7 7.55990- 3 1.80000+ 1 1.80000+ 1 7.74864- 4 7.32440- 3 1.80000+ 1 1.90000+ 1 2.24181- 3 7.35684- 3 1.80000+ 1 2.10000+ 1 1.01235- 3 7.47354- 3 1.80000+ 1 2.20000+ 1 1.49015- 3 7.47940- 3 1.80000+ 1 2.40000+ 1 3.77629- 5 7.61867- 3 1.80000+ 1 2.50000+ 1 3.63091- 6 7.61950- 3 1.80000+ 1 2.70000+ 1 1.40158- 4 7.58104- 3 1.80000+ 1 2.90000+ 1 2.09137- 4 7.60087- 3 1.80000+ 1 3.00000+ 1 2.99921- 4 7.60552- 3 1.80000+ 1 3.20000+ 1 1.16198- 5 7.63051- 3 1.80000+ 1 4.10000+ 1 1.23452- 5 7.62999- 3 1.90000+ 1 1.90000+ 1 5.75289- 5 7.38928- 3 1.90000+ 1 2.10000+ 1 1.29117- 3 7.50598- 3 1.90000+ 1 2.20000+ 1 1.55119- 4 7.51184- 3 1.90000+ 1 2.40000+ 1 2.91283- 5 7.65111- 3 1.90000+ 1 2.50000+ 1 2.18465- 6 7.65194- 3 1.90000+ 1 2.70000+ 1 1.45651- 5 7.61348- 3 1.90000+ 1 2.90000+ 1 2.94200- 4 7.63331- 3 1.90000+ 1 3.00000+ 1 1.52925- 5 7.63796- 3 1.90000+ 1 3.20000+ 1 1.45651- 5 7.66295- 3 1.90000+ 1 4.10000+ 1 1.45651- 6 7.66243- 3 2.10000+ 1 2.10000+ 1 9.25589- 4 7.62268- 3 2.10000+ 1 2.20000+ 1 3.64337- 3 7.62854- 3 2.10000+ 1 2.40000+ 1 1.37616- 4 7.76781- 3 2.10000+ 1 2.50000+ 1 3.62532- 5 7.76864- 3 2.10000+ 1 2.70000+ 1 1.25778- 5 7.73018- 3 2.10000+ 1 2.90000+ 1 1.35398- 4 7.75001- 3 2.10000+ 1 3.00000+ 1 1.73875- 4 7.75466- 3 2.10000+ 1 3.20000+ 1 2.07169- 5 7.77965- 3 2.10000+ 1 4.10000+ 1 7.39887- 7 7.77913- 3 2.20000+ 1 2.20000+ 1 2.19780- 4 7.63440- 3 2.20000+ 1 2.40000+ 1 7.29615- 5 7.77367- 3 2.20000+ 1 2.50000+ 1 3.60286- 6 7.77450- 3 2.20000+ 1 2.70000+ 1 1.35116- 5 7.73604- 3 2.20000+ 1 2.90000+ 1 2.35996- 4 7.75587- 3 2.20000+ 1 3.00000+ 1 2.52210- 5 7.76052- 3 2.20000+ 1 3.20000+ 1 4.86415- 5 7.78551- 3 2.20000+ 1 4.10000+ 1 9.00749- 7 7.78499- 3 2.40000+ 1 2.40000+ 1 1.47982- 6 7.91294- 3 2.40000+ 1 2.50000+ 1 2.95945- 6 7.91377- 3 2.40000+ 1 2.70000+ 1 2.21962- 6 7.87531- 3 2.40000+ 1 2.90000+ 1 5.17907- 6 7.89514- 3 2.40000+ 1 3.00000+ 1 3.69935- 6 7.89979- 3 2.40000+ 1 3.20000+ 1 1.47982- 6 7.92478- 3 2.50000+ 1 2.90000+ 1 7.39906- 7 7.89597- 3 2.50000+ 1 3.20000+ 1 7.39906- 7 7.92561- 3 2.70000+ 1 2.70000+ 1 1.14208- 6 7.83768- 3 2.70000+ 1 2.90000+ 1 2.85510- 5 7.85751- 3 2.70000+ 1 3.00000+ 1 3.42615- 6 7.86216- 3 2.90000+ 1 2.90000+ 1 2.31647- 5 7.87734- 3 2.90000+ 1 3.00000+ 1 6.58372- 5 7.88199- 3 2.90000+ 1 3.20000+ 1 2.43842- 6 7.90698- 3 2.90000+ 1 4.10000+ 1 2.43842- 6 7.90646- 3 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 9.55798- 3 5.37810- 3 1.00000+ 1 6.48298- 5 5.55580- 3 1.10000+ 1 5.92819- 5 5.70090- 3 1.30000+ 1 1.32890- 2 6.01110- 3 1.40000+ 1 1.17530- 1 6.04290- 3 1.60000+ 1 1.27740- 3 6.86131- 3 1.80000+ 1 1.00730- 5 6.93140- 3 1.90000+ 1 9.75548- 6 6.96384- 3 2.10000+ 1 2.23329- 3 7.08054- 3 2.20000+ 1 1.99820- 2 7.08640- 3 2.40000+ 1 2.66279- 6 7.22567- 3 2.50000+ 1 1.53040- 5 7.22650- 3 2.70000+ 1 2.35569- 4 7.18804- 3 2.90000+ 1 2.28459- 6 7.20787- 3 3.00000+ 1 1.96740- 6 7.21252- 3 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.14997- 3 3.51350- 3 8.00000+ 0 1.00000+ 1 7.30959- 4 3.69120- 3 8.00000+ 0 1.10000+ 1 2.62428- 2 3.83630- 3 8.00000+ 0 1.30000+ 1 2.70041- 3 4.14650- 3 8.00000+ 0 1.40000+ 1 3.37478- 3 4.17830- 3 8.00000+ 0 1.60000+ 1 4.22144- 4 4.99671- 3 8.00000+ 0 1.80000+ 1 1.28808- 4 5.06680- 3 8.00000+ 0 1.90000+ 1 3.86434- 3 5.09924- 3 8.00000+ 0 2.10000+ 1 2.51418- 4 5.21594- 3 8.00000+ 0 2.20000+ 1 2.83225- 4 5.22180- 3 8.00000+ 0 2.40000+ 1 1.01652- 4 5.36107- 3 8.00000+ 0 2.50000+ 1 2.32795- 5 5.36190- 3 8.00000+ 0 2.70000+ 1 6.82844- 5 5.32344- 3 8.00000+ 0 2.90000+ 1 1.70717- 5 5.34327- 3 8.00000+ 0 3.00000+ 1 4.84192- 4 5.34792- 3 8.00000+ 0 3.20000+ 1 2.32795- 6 5.37291- 3 8.00000+ 0 4.10000+ 1 6.20785- 6 5.37239- 3 1.00000+ 1 1.00000+ 1 2.00978- 4 3.86890- 3 1.00000+ 1 1.10000+ 1 4.39223- 2 4.01400- 3 1.00000+ 1 1.30000+ 1 2.62198- 3 4.32420- 3 1.00000+ 1 1.40000+ 1 2.34687- 2 4.35600- 3 1.00000+ 1 1.60000+ 1 1.44329- 4 5.17441- 3 1.00000+ 1 1.80000+ 1 7.37171- 5 5.24450- 3 1.00000+ 1 1.90000+ 1 6.70987- 3 5.27694- 3 1.00000+ 1 2.10000+ 1 4.47746- 4 5.39364- 3 1.00000+ 1 2.20000+ 1 3.40048- 3 5.39950- 3 1.00000+ 1 2.40000+ 1 1.11742- 4 5.53877- 3 1.00000+ 1 2.50000+ 1 3.72472- 5 5.53960- 3 1.00000+ 1 2.70000+ 1 2.40551- 5 5.50114- 3 1.00000+ 1 2.90000+ 1 1.00874- 5 5.52097- 3 1.00000+ 1 3.00000+ 1 8.45829- 4 5.52562- 3 1.00000+ 1 3.20000+ 1 5.43170- 6 5.55061- 3 1.00000+ 1 4.10000+ 1 2.32796- 6 5.55009- 3 1.10000+ 1 1.10000+ 1 5.97408- 2 4.15910- 3 1.10000+ 1 1.30000+ 1 6.15547- 2 4.46930- 3 1.10000+ 1 1.40000+ 1 8.99570- 2 4.50110- 3 1.10000+ 1 1.60000+ 1 6.19450- 3 5.31951- 3 1.10000+ 1 1.80000+ 1 9.23229- 3 5.38960- 3 1.10000+ 1 1.90000+ 1 2.18427- 2 5.42204- 3 1.10000+ 1 2.10000+ 1 1.09305- 2 5.53874- 3 1.10000+ 1 2.20000+ 1 1.57340- 2 5.54460- 3 1.10000+ 1 2.40000+ 1 5.08264- 4 5.68387- 3 1.10000+ 1 2.50000+ 1 8.30274- 5 5.68470- 3 1.10000+ 1 2.70000+ 1 1.05453- 3 5.64624- 3 1.10000+ 1 2.90000+ 1 1.27807- 3 5.66607- 3 1.10000+ 1 3.00000+ 1 2.85166- 3 5.67072- 3 1.10000+ 1 3.20000+ 1 1.24157- 4 5.69571- 3 1.10000+ 1 4.10000+ 1 9.31166- 5 5.69519- 3 1.30000+ 1 1.30000+ 1 8.89317- 3 4.77950- 3 1.30000+ 1 1.40000+ 1 1.68931- 1 4.81130- 3 1.30000+ 1 1.60000+ 1 6.05274- 4 5.62971- 3 1.30000+ 1 1.80000+ 1 5.53284- 4 5.69980- 3 1.30000+ 1 1.90000+ 1 8.70764- 3 5.73224- 3 1.30000+ 1 2.10000+ 1 2.76257- 3 5.84894- 3 1.30000+ 1 2.20000+ 1 2.22297- 2 5.85480- 3 1.30000+ 1 2.40000+ 1 2.88664- 4 5.99407- 3 1.30000+ 1 2.50000+ 1 1.24929- 4 5.99490- 3 1.30000+ 1 2.70000+ 1 1.02433- 4 5.95644- 3 1.30000+ 1 2.90000+ 1 7.68250- 5 5.97627- 3 1.30000+ 1 3.00000+ 1 1.08338- 3 5.98092- 3 1.30000+ 1 3.20000+ 1 3.10391- 5 6.00591- 3 1.30000+ 1 4.10000+ 1 9.31196- 6 6.00539- 3 1.40000+ 1 1.40000+ 1 1.13968- 1 4.84310- 3 1.40000+ 1 1.60000+ 1 7.97725- 4 5.66151- 3 1.40000+ 1 1.80000+ 1 4.55508- 3 5.73160- 3 1.40000+ 1 1.90000+ 1 1.43219- 2 5.76404- 3 1.40000+ 1 2.10000+ 1 2.65405- 2 5.88074- 3 1.40000+ 1 2.20000+ 1 3.38304- 2 5.88660- 3 1.40000+ 1 2.40000+ 1 3.07537- 3 6.02587- 3 1.40000+ 1 2.50000+ 1 3.55411- 4 6.02670- 3 1.40000+ 1 2.70000+ 1 1.36575- 4 5.98824- 3 1.40000+ 1 2.90000+ 1 6.21576- 4 6.00807- 3 1.40000+ 1 3.00000+ 1 1.82822- 3 6.01272- 3 1.40000+ 1 3.20000+ 1 2.97214- 4 6.03771- 3 1.40000+ 1 4.10000+ 1 1.16394- 5 6.03719- 3 1.60000+ 1 1.60000+ 1 3.87960- 5 6.47992- 3 1.60000+ 1 1.80000+ 1 2.63810- 5 6.55001- 3 1.60000+ 1 1.90000+ 1 9.14076- 4 6.58245- 3 1.60000+ 1 2.10000+ 1 6.12979- 5 6.69915- 3 1.60000+ 1 2.20000+ 1 7.29376- 5 6.70501- 3 1.60000+ 1 2.40000+ 1 1.47424- 5 6.84428- 3 1.60000+ 1 2.50000+ 1 3.87960- 6 6.84511- 3 1.60000+ 1 2.70000+ 1 1.24151- 5 6.80665- 3 1.60000+ 1 2.90000+ 1 3.87960- 6 6.82648- 3 1.60000+ 1 3.00000+ 1 1.14840- 4 6.83113- 3 1.60000+ 1 3.20000+ 1 7.75953- 7 6.85612- 3 1.60000+ 1 4.10000+ 1 7.75953- 7 6.85560- 3 1.80000+ 1 1.80000+ 1 6.12369- 6 6.62010- 3 1.80000+ 1 1.90000+ 1 1.38701- 3 6.65254- 3 1.80000+ 1 2.10000+ 1 9.03205- 5 6.76924- 3 1.80000+ 1 2.20000+ 1 6.76658- 4 6.77510- 3 1.80000+ 1 2.40000+ 1 1.53093- 5 6.91437- 3 1.80000+ 1 2.50000+ 1 5.35803- 6 6.91520- 3 1.80000+ 1 2.70000+ 1 4.59267- 6 6.87674- 3 1.80000+ 1 2.90000+ 1 1.53093- 6 6.89657- 3 1.80000+ 1 3.00000+ 1 1.74525- 4 6.90122- 3 1.80000+ 1 3.20000+ 1 7.65472- 7 6.92621- 3 1.90000+ 1 1.90000+ 1 1.78295- 3 6.68498- 3 1.90000+ 1 2.10000+ 1 1.43625- 3 6.80168- 3 1.90000+ 1 2.20000+ 1 2.28948- 3 6.80754- 3 1.90000+ 1 2.40000+ 1 5.46836- 5 6.94681- 3 1.90000+ 1 2.50000+ 1 9.35355- 6 6.94764- 3 1.90000+ 1 2.70000+ 1 1.44629- 4 6.90918- 3 1.90000+ 1 2.90000+ 1 1.80600- 4 6.92901- 3 1.90000+ 1 3.00000+ 1 4.62639- 4 6.93366- 3 1.90000+ 1 3.20000+ 1 1.65497- 5 6.95865- 3 1.90000+ 1 4.10000+ 1 1.29516- 5 6.95813- 3 2.10000+ 1 2.10000+ 1 2.07968- 4 6.91838- 3 2.10000+ 1 2.20000+ 1 3.61531- 3 6.92424- 3 2.10000+ 1 2.40000+ 1 3.10390- 5 7.06351- 3 2.10000+ 1 2.50000+ 1 1.31925- 5 7.06434- 3 2.10000+ 1 2.70000+ 1 1.00876- 5 7.02588- 3 2.10000+ 1 2.90000+ 1 1.24161- 5 7.04571- 3 2.10000+ 1 3.00000+ 1 1.92448- 4 7.05036- 3 2.10000+ 1 3.20000+ 1 4.65590- 6 7.07535- 3 2.10000+ 1 4.10000+ 1 7.76012- 7 7.07483- 3 2.20000+ 1 2.20000+ 1 2.73537- 3 6.93010- 3 2.20000+ 1 2.40000+ 1 3.50967- 4 7.06937- 3 2.20000+ 1 2.50000+ 1 4.03988- 5 7.07020- 3 2.20000+ 1 2.70000+ 1 1.34663- 5 7.03174- 3 2.20000+ 1 2.90000+ 1 1.01839- 4 7.05157- 3 2.20000+ 1 3.00000+ 1 3.40846- 4 7.05622- 3 2.20000+ 1 3.20000+ 1 4.37664- 5 7.08121- 3 2.20000+ 1 4.10000+ 1 8.41654- 7 7.08069- 3 2.40000+ 1 2.40000+ 1 7.76012- 7 7.20864- 3 2.40000+ 1 2.50000+ 1 4.65590- 6 7.20947- 3 2.40000+ 1 2.70000+ 1 2.32801- 6 7.17101- 3 2.40000+ 1 2.90000+ 1 2.32801- 6 7.19084- 3 2.40000+ 1 3.00000+ 1 6.98402- 6 7.19549- 3 2.50000+ 1 2.50000+ 1 1.76836- 6 7.21030- 3 2.50000+ 1 2.70000+ 1 8.84187- 7 7.17184- 3 2.50000+ 1 2.90000+ 1 8.84187- 7 7.19167- 3 2.50000+ 1 3.00000+ 1 1.76836- 6 7.19632- 3 2.70000+ 1 2.70000+ 1 1.15304- 6 7.13338- 3 2.70000+ 1 2.90000+ 1 1.15304- 6 7.15321- 3 2.70000+ 1 3.00000+ 1 2.88248- 5 7.15786- 3 2.90000+ 1 3.00000+ 1 4.90149- 5 7.17769- 3 3.00000+ 1 3.00000+ 1 8.66407- 5 7.18234- 3 3.00000+ 1 3.20000+ 1 6.18904- 6 7.20733- 3 3.00000+ 1 4.10000+ 1 4.12603- 6 7.20681- 3 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 9.96770- 6 1.77700- 4 1.10000+ 1 1.21580- 4 3.22800- 4 1.80000+ 1 4.40280- 4 1.55330- 3 1.90000+ 1 5.15330- 4 1.58574- 3 2.90000+ 1 1.00880- 4 1.82977- 3 3.00000+ 1 1.10870- 4 1.83442- 3 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 7.09033- 2 1.55400- 5 1.00000+ 1 2.20000+ 1 1.04253- 1 2.14000- 5 1.00000+ 1 2.40000+ 1 2.37397- 2 1.60670- 4 1.00000+ 1 2.50000+ 1 3.19024- 2 1.61500- 4 1.00000+ 1 2.70000+ 1 9.23679- 3 1.23040- 4 1.00000+ 1 2.90000+ 1 7.86698- 3 1.42870- 4 1.00000+ 1 3.00000+ 1 1.21597- 2 1.47520- 4 1.00000+ 1 3.20000+ 1 2.61814- 4 1.72510- 4 1.00000+ 1 3.30000+ 1 3.49789- 4 1.72850- 4 1.00000+ 1 4.10000+ 1 7.96218- 4 1.71990- 4 1.10000+ 1 1.80000+ 1 7.35971- 2 1.15000- 5 1.10000+ 1 1.90000+ 1 1.01149- 1 4.39400- 5 1.10000+ 1 2.10000+ 1 4.47069- 2 1.60640- 4 1.10000+ 1 2.20000+ 1 6.42459- 2 1.66500- 4 1.10000+ 1 2.40000+ 1 6.39492- 2 3.05770- 4 1.10000+ 1 2.50000+ 1 8.07231- 2 3.06600- 4 1.10000+ 1 2.70000+ 1 1.09678- 2 2.68140- 4 1.10000+ 1 2.90000+ 1 9.42679- 3 2.87970- 4 1.10000+ 1 3.00000+ 1 1.29787- 2 2.92620- 4 1.10000+ 1 3.20000+ 1 1.70749- 4 3.17610- 4 1.10000+ 1 3.30000+ 1 2.41133- 4 3.17950- 4 1.10000+ 1 4.10000+ 1 9.43876- 4 3.17090- 4 1.30000+ 1 1.60000+ 1 2.71528- 2 2.51610- 4 1.30000+ 1 1.80000+ 1 5.99127- 3 3.21700- 4 1.30000+ 1 1.90000+ 1 5.23404- 3 3.54140- 4 1.30000+ 1 2.10000+ 1 8.72901- 3 4.70840- 4 1.30000+ 1 2.20000+ 1 1.09732- 2 4.76700- 4 1.30000+ 1 2.40000+ 1 3.24509- 3 6.15970- 4 1.30000+ 1 2.50000+ 1 3.11932- 3 6.16800- 4 1.30000+ 1 2.70000+ 1 3.08293- 3 5.78340- 4 1.30000+ 1 2.90000+ 1 6.51793- 4 5.98170- 4 1.30000+ 1 3.00000+ 1 5.39963- 4 6.02820- 4 1.30000+ 1 3.20000+ 1 3.48262- 5 6.27810- 4 1.30000+ 1 3.30000+ 1 4.39328- 5 6.28150- 4 1.30000+ 1 4.10000+ 1 2.58802- 4 6.27290- 4 1.40000+ 1 1.60000+ 1 3.84869- 2 2.83410- 4 1.40000+ 1 1.80000+ 1 1.25322- 3 3.53500- 4 1.40000+ 1 1.90000+ 1 1.13029- 2 3.85940- 4 1.40000+ 1 2.10000+ 1 1.15918- 2 5.02640- 4 1.40000+ 1 2.20000+ 1 1.75039- 2 5.08500- 4 1.40000+ 1 2.40000+ 1 3.69104- 3 6.47770- 4 1.40000+ 1 2.50000+ 1 5.73885- 3 6.48600- 4 1.40000+ 1 2.70000+ 1 4.32662- 3 6.10140- 4 1.40000+ 1 2.90000+ 1 1.35510- 4 6.29970- 4 1.40000+ 1 3.00000+ 1 1.16555- 3 6.34620- 4 1.40000+ 1 3.20000+ 1 4.92468- 5 6.59610- 4 1.40000+ 1 3.30000+ 1 6.80636- 5 6.59950- 4 1.40000+ 1 4.10000+ 1 3.63381- 4 6.59090- 4 1.60000+ 1 1.60000+ 1 5.07697- 3 1.10182- 3 1.60000+ 1 1.80000+ 1 8.52725- 3 1.17191- 3 1.60000+ 1 1.90000+ 1 1.52113- 2 1.20435- 3 1.60000+ 1 2.10000+ 1 1.64602- 2 1.32105- 3 1.60000+ 1 2.20000+ 1 2.37390- 2 1.32691- 3 1.60000+ 1 2.40000+ 1 3.88838- 3 1.46618- 3 1.60000+ 1 2.50000+ 1 4.95807- 3 1.46701- 3 1.60000+ 1 2.70000+ 1 1.43444- 3 1.42855- 3 1.60000+ 1 2.90000+ 1 1.18652- 3 1.44838- 3 1.60000+ 1 3.00000+ 1 2.03505- 3 1.45303- 3 1.60000+ 1 3.20000+ 1 7.53556- 5 1.47802- 3 1.60000+ 1 3.30000+ 1 1.02555- 4 1.47836- 3 1.60000+ 1 4.10000+ 1 1.24848- 4 1.47750- 3 1.80000+ 1 1.80000+ 1 4.22496- 4 1.24200- 3 1.80000+ 1 1.90000+ 1 1.08046- 3 1.27444- 3 1.80000+ 1 2.10000+ 1 6.36806- 4 1.39114- 3 1.80000+ 1 2.20000+ 1 3.25733- 4 1.39700- 3 1.80000+ 1 2.40000+ 1 6.22096- 5 1.53627- 3 1.80000+ 1 2.50000+ 1 2.60493- 4 1.53710- 3 1.80000+ 1 2.70000+ 1 9.20191- 4 1.49864- 3 1.80000+ 1 2.90000+ 1 9.33118- 5 1.51847- 3 1.80000+ 1 3.00000+ 1 1.12755- 4 1.52312- 3 1.80000+ 1 3.20000+ 1 2.59189- 6 1.54811- 3 1.80000+ 1 3.30000+ 1 1.72798- 6 1.54845- 3 1.80000+ 1 4.10000+ 1 7.73276- 5 1.54759- 3 1.90000+ 1 1.90000+ 1 1.42877- 3 1.30688- 3 1.90000+ 1 2.10000+ 1 8.80351- 4 1.42358- 3 1.90000+ 1 2.20000+ 1 2.18953- 3 1.42944- 3 1.90000+ 1 2.40000+ 1 2.71157- 4 1.56871- 3 1.90000+ 1 2.50000+ 1 5.09719- 4 1.56954- 3 1.90000+ 1 2.70000+ 1 1.65681- 3 1.53108- 3 1.90000+ 1 2.90000+ 1 1.27318- 4 1.55091- 3 1.90000+ 1 3.00000+ 1 3.21120- 4 1.55556- 3 1.90000+ 1 3.20000+ 1 4.34533- 6 1.58055- 3 1.90000+ 1 3.30000+ 1 9.12517- 6 1.58089- 3 1.90000+ 1 4.10000+ 1 1.39053- 4 1.58003- 3 2.10000+ 1 2.10000+ 1 1.91707- 4 1.54028- 3 2.10000+ 1 2.20000+ 1 8.97664- 4 1.54614- 3 2.10000+ 1 2.40000+ 1 2.57774- 4 1.68541- 3 2.10000+ 1 2.50000+ 1 1.94102- 3 1.68624- 3 2.10000+ 1 2.70000+ 1 1.76320- 3 1.64778- 3 2.10000+ 1 2.90000+ 1 6.43351- 5 1.66761- 3 2.10000+ 1 3.00000+ 1 9.30269- 5 1.67226- 3 2.10000+ 1 3.20000+ 1 1.30411- 6 1.69725- 3 2.10000+ 1 3.30000+ 1 3.47766- 6 1.69759- 3 2.10000+ 1 4.10000+ 1 1.47797- 4 1.69673- 3 2.20000+ 1 2.20000+ 1 5.09288- 4 1.55200- 3 2.20000+ 1 2.40000+ 1 1.92970- 3 1.69127- 3 2.20000+ 1 2.50000+ 1 1.10111- 3 1.69210- 3 2.20000+ 1 2.70000+ 1 2.53836- 3 1.65364- 3 2.20000+ 1 2.90000+ 1 3.43290- 5 1.67347- 3 2.20000+ 1 3.00000+ 1 2.30740- 4 1.67812- 3 2.20000+ 1 3.20000+ 1 3.47631- 6 1.70311- 3 2.20000+ 1 3.30000+ 1 3.91082- 6 1.70345- 3 2.20000+ 1 4.10000+ 1 2.12486- 4 1.70259- 3 2.40000+ 1 2.40000+ 1 1.01261- 4 1.83054- 3 2.40000+ 1 2.50000+ 1 9.84679- 4 1.83137- 3 2.40000+ 1 2.70000+ 1 4.17341- 4 1.79291- 3 2.40000+ 1 2.90000+ 1 6.62464- 6 1.81274- 3 2.40000+ 1 3.00000+ 1 2.79161- 5 1.81739- 3 2.40000+ 1 3.20000+ 1 9.46352- 7 1.84238- 3 2.40000+ 1 3.30000+ 1 8.99038- 6 1.84272- 3 2.40000+ 1 4.10000+ 1 3.45418- 5 1.84186- 3 2.50000+ 1 2.50000+ 1 2.65005- 4 1.83220- 3 2.50000+ 1 2.70000+ 1 5.18480- 4 1.79374- 3 2.50000+ 1 2.90000+ 1 3.50260- 5 1.81357- 3 2.50000+ 1 3.00000+ 1 4.97780- 5 1.81822- 3 2.50000+ 1 3.20000+ 1 9.21759- 6 1.84321- 3 2.50000+ 1 3.30000+ 1 5.06963- 6 1.84355- 3 2.50000+ 1 4.10000+ 1 4.28641- 5 1.84269- 3 2.70000+ 1 2.70000+ 1 1.01971- 4 1.75528- 3 2.70000+ 1 2.90000+ 1 1.42184- 4 1.77511- 3 2.70000+ 1 3.00000+ 1 2.44148- 4 1.77976- 3 2.70000+ 1 3.20000+ 1 9.09591- 6 1.80475- 3 2.70000+ 1 3.30000+ 1 1.19684- 5 1.80509- 3 2.70000+ 1 4.10000+ 1 1.77132- 5 1.80423- 3 2.90000+ 1 2.90000+ 1 6.00716- 6 1.79494- 3 2.90000+ 1 3.00000+ 1 1.50181- 5 1.79959- 3 2.90000+ 1 3.20000+ 1 5.00601- 7 1.82458- 3 2.90000+ 1 4.10000+ 1 1.25152- 5 1.82406- 3 3.00000+ 1 3.00000+ 1 2.35144- 5 1.80424- 3 3.00000+ 1 3.20000+ 1 5.73538- 7 1.82923- 3 3.00000+ 1 3.30000+ 1 1.14707- 6 1.82957- 3 3.00000+ 1 4.10000+ 1 2.46630- 5 1.82871- 3 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 5.01653- 4 4.55300- 4 1.60000+ 1 4.24901- 4 1.30551- 3 2.10000+ 1 2.09834- 3 1.52474- 3 2.70000+ 1 7.72181- 5 1.63224- 3 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.40000+ 1 1.80415- 2 1.28070- 4 1.10000+ 1 2.50000+ 1 2.02666- 2 1.28900- 4 1.10000+ 1 2.70000+ 1 5.61873- 3 9.04400- 5 1.10000+ 1 2.90000+ 1 5.78810- 3 1.10270- 4 1.10000+ 1 3.00000+ 1 6.01799- 3 1.14920- 4 1.10000+ 1 3.20000+ 1 5.71919- 5 1.39910- 4 1.10000+ 1 3.30000+ 1 1.36359- 4 1.40250- 4 1.10000+ 1 4.10000+ 1 4.66898- 4 1.39390- 4 1.30000+ 1 1.60000+ 1 8.55778- 2 7.39100- 5 1.30000+ 1 1.80000+ 1 8.55878- 2 1.44000- 4 1.30000+ 1 1.90000+ 1 1.12156- 1 1.76440- 4 1.30000+ 1 2.10000+ 1 3.72987- 2 2.93140- 4 1.30000+ 1 2.20000+ 1 4.25620- 2 2.99000- 4 1.30000+ 1 2.40000+ 1 8.56224- 2 4.38270- 4 1.30000+ 1 2.50000+ 1 1.29613- 1 4.39100- 4 1.30000+ 1 2.70000+ 1 1.44489- 2 4.00640- 4 1.30000+ 1 2.90000+ 1 1.02667- 2 4.20470- 4 1.30000+ 1 3.00000+ 1 1.42712- 2 4.25120- 4 1.30000+ 1 3.20000+ 1 1.63504- 4 4.50110- 4 1.30000+ 1 3.30000+ 1 1.87724- 4 4.50450- 4 1.30000+ 1 4.10000+ 1 1.28528- 3 4.49590- 4 1.40000+ 1 1.60000+ 1 1.43791- 2 1.05710- 4 1.40000+ 1 1.80000+ 1 9.92001- 2 1.75800- 4 1.40000+ 1 1.90000+ 1 9.63010- 3 2.08240- 4 1.40000+ 1 2.10000+ 1 1.62386- 3 3.24940- 4 1.40000+ 1 2.20000+ 1 4.89793- 3 3.30800- 4 1.40000+ 1 2.40000+ 1 2.61640- 3 4.70070- 4 1.40000+ 1 2.50000+ 1 2.12118- 3 4.70900- 4 1.40000+ 1 2.70000+ 1 1.61292- 3 4.32440- 4 1.40000+ 1 2.90000+ 1 9.62190- 3 4.52270- 4 1.40000+ 1 3.00000+ 1 1.12152- 3 4.56920- 4 1.40000+ 1 3.20000+ 1 4.84651- 6 4.81910- 4 1.40000+ 1 3.30000+ 1 1.97096- 5 4.82250- 4 1.40000+ 1 4.10000+ 1 1.36034- 4 4.81390- 4 1.60000+ 1 1.60000+ 1 8.36797- 4 9.24120- 4 1.60000+ 1 1.80000+ 1 1.15987- 2 9.94210- 4 1.60000+ 1 1.90000+ 1 1.84239- 3 1.02665- 3 1.60000+ 1 2.10000+ 1 3.84145- 4 1.14335- 3 1.60000+ 1 2.20000+ 1 1.33987- 3 1.14921- 3 1.60000+ 1 2.40000+ 1 4.42076- 5 1.28848- 3 1.60000+ 1 2.50000+ 1 3.41183- 4 1.28931- 3 1.60000+ 1 2.70000+ 1 2.23515- 4 1.25085- 3 1.60000+ 1 2.90000+ 1 1.08584- 3 1.27068- 3 1.60000+ 1 3.00000+ 1 2.22266- 4 1.27533- 3 1.60000+ 1 3.20000+ 1 1.24522- 6 1.30032- 3 1.60000+ 1 3.30000+ 1 5.60359- 6 1.30066- 3 1.60000+ 1 4.10000+ 1 1.86786- 5 1.29980- 3 1.80000+ 1 1.80000+ 1 8.83558- 3 1.06430- 3 1.80000+ 1 1.90000+ 1 2.66874- 2 1.09674- 3 1.80000+ 1 2.10000+ 1 2.50751- 2 1.21344- 3 1.80000+ 1 2.20000+ 1 4.12449- 2 1.21930- 3 1.80000+ 1 2.40000+ 1 4.92492- 3 1.35857- 3 1.80000+ 1 2.50000+ 1 8.56816- 3 1.35940- 3 1.80000+ 1 2.70000+ 1 2.01701- 3 1.32094- 3 1.80000+ 1 2.90000+ 1 2.08233- 3 1.34077- 3 1.80000+ 1 3.00000+ 1 3.54082- 3 1.34542- 3 1.80000+ 1 3.20000+ 1 1.14801- 4 1.37041- 3 1.80000+ 1 3.30000+ 1 1.77011- 4 1.37075- 3 1.80000+ 1 4.10000+ 1 1.78292- 4 1.36989- 3 1.90000+ 1 1.90000+ 1 7.81737- 4 1.12918- 3 1.90000+ 1 2.10000+ 1 2.26561- 3 1.24588- 3 1.90000+ 1 2.20000+ 1 1.77226- 3 1.25174- 3 1.90000+ 1 2.40000+ 1 3.77431- 3 1.39101- 3 1.90000+ 1 2.50000+ 1 1.09117- 3 1.39184- 3 1.90000+ 1 2.70000+ 1 2.25685- 4 1.35338- 3 1.90000+ 1 2.90000+ 1 2.69239- 3 1.37321- 3 1.90000+ 1 3.00000+ 1 1.74996- 4 1.37786- 3 1.90000+ 1 3.20000+ 1 8.78360- 6 1.40285- 3 1.90000+ 1 3.30000+ 1 6.75663- 6 1.40319- 3 1.90000+ 1 4.10000+ 1 1.89182- 5 1.40233- 3 2.10000+ 1 2.10000+ 1 8.39223- 4 1.36258- 3 2.10000+ 1 2.20000+ 1 2.44508- 3 1.36844- 3 2.10000+ 1 2.40000+ 1 4.46459- 4 1.50771- 3 2.10000+ 1 2.50000+ 1 8.29139- 4 1.50854- 3 2.10000+ 1 2.70000+ 1 5.93591- 5 1.47008- 3 2.10000+ 1 2.90000+ 1 2.31629- 3 1.48991- 3 2.10000+ 1 3.00000+ 1 2.38060- 4 1.49456- 3 2.10000+ 1 3.20000+ 1 6.31484- 6 1.51955- 3 2.10000+ 1 3.30000+ 1 1.01037- 5 1.51989- 3 2.10000+ 1 4.10000+ 1 5.05194- 6 1.51903- 3 2.20000+ 1 2.20000+ 1 5.71177- 4 1.37430- 3 2.20000+ 1 2.40000+ 1 1.54361- 3 1.51357- 3 2.20000+ 1 2.50000+ 1 3.27291- 4 1.51440- 3 2.20000+ 1 2.70000+ 1 1.80089- 4 1.47594- 3 2.20000+ 1 2.90000+ 1 3.86951- 3 1.49577- 3 2.20000+ 1 3.00000+ 1 1.72494- 4 1.50042- 3 2.20000+ 1 3.20000+ 1 1.01096- 5 1.52541- 3 2.20000+ 1 3.30000+ 1 4.42282- 6 1.52575- 3 2.20000+ 1 4.10000+ 1 1.57962- 5 1.52489- 3 2.40000+ 1 2.40000+ 1 3.68850- 4 1.65284- 3 2.40000+ 1 2.50000+ 1 3.03205- 3 1.65367- 3 2.40000+ 1 2.70000+ 1 2.82633- 6 1.61521- 3 2.40000+ 1 2.90000+ 1 4.67068- 4 1.63504- 3 2.40000+ 1 3.00000+ 1 4.88279- 4 1.63969- 3 2.40000+ 1 3.20000+ 1 2.11985- 6 1.66468- 3 2.40000+ 1 3.30000+ 1 7.77272- 6 1.66502- 3 2.50000+ 1 2.50000+ 1 1.22571- 4 1.65450- 3 2.50000+ 1 2.70000+ 1 4.99112- 5 1.61604- 3 2.50000+ 1 2.90000+ 1 7.26585- 4 1.63587- 3 2.50000+ 1 3.00000+ 1 1.13726- 4 1.64052- 3 2.50000+ 1 3.20000+ 1 3.79067- 6 1.66551- 3 2.50000+ 1 3.30000+ 1 1.26359- 6 1.66585- 3 2.50000+ 1 4.10000+ 1 4.42254- 6 1.66499- 3 2.70000+ 1 2.70000+ 1 1.51638- 5 1.57758- 3 2.70000+ 1 2.90000+ 1 1.87017- 4 1.59741- 3 2.70000+ 1 3.00000+ 1 2.59029- 5 1.60206- 3 2.70000+ 1 3.30000+ 1 6.31835- 7 1.62739- 3 2.70000+ 1 4.10000+ 1 2.52719- 6 1.62653- 3 2.90000+ 1 2.90000+ 1 1.66906- 4 1.61724- 3 2.90000+ 1 3.00000+ 1 4.86963- 4 1.62189- 3 2.90000+ 1 3.20000+ 1 1.55903- 5 1.64688- 3 2.90000+ 1 3.30000+ 1 2.38442- 5 1.64722- 3 2.90000+ 1 4.10000+ 1 2.38442- 5 1.64636- 3 3.00000+ 1 3.00000+ 1 3.37062- 5 1.62654- 3 3.00000+ 1 3.20000+ 1 2.24711- 6 1.65153- 3 3.00000+ 1 3.30000+ 1 2.24711- 6 1.65187- 3 3.00000+ 1 4.10000+ 1 6.74124- 6 1.65101- 3 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.76578- 5 3.10200- 4 1.40000+ 1 2.20475- 4 3.42000- 4 1.60000+ 1 6.01821- 4 1.16041- 3 2.10000+ 1 2.81120- 4 1.37964- 3 2.20000+ 1 2.27510- 3 1.38550- 3 2.70000+ 1 1.10040- 4 1.48714- 3 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.80000+ 1 1.45417- 2 0.00000+ 0 1.30000+ 1 1.90000+ 1 7.19054- 2 3.13400- 5 1.30000+ 1 2.10000+ 1 1.16165- 2 1.48040- 4 1.30000+ 1 2.20000+ 1 1.01420- 2 1.53900- 4 1.30000+ 1 2.40000+ 1 8.85791- 3 2.93170- 4 1.30000+ 1 2.50000+ 1 1.31386- 2 2.94000- 4 1.30000+ 1 2.70000+ 1 2.53775- 3 2.55540- 4 1.30000+ 1 2.90000+ 1 1.79260- 3 2.75370- 4 1.30000+ 1 3.00000+ 1 7.35126- 3 2.80020- 4 1.30000+ 1 3.20000+ 1 4.61980- 5 3.05010- 4 1.30000+ 1 3.30000+ 1 3.82125- 5 3.05350- 4 1.30000+ 1 4.10000+ 1 2.17303- 4 3.04490- 4 1.40000+ 1 1.80000+ 1 9.53486- 2 3.07000- 5 1.40000+ 1 1.90000+ 1 1.62484- 1 6.31400- 5 1.40000+ 1 2.10000+ 1 5.08114- 2 1.79840- 4 1.40000+ 1 2.20000+ 1 7.61185- 2 1.85700- 4 1.40000+ 1 2.40000+ 1 8.57314- 2 3.24970- 4 1.40000+ 1 2.50000+ 1 1.02738- 1 3.25800- 4 1.40000+ 1 2.70000+ 1 1.48045- 2 2.87340- 4 1.40000+ 1 2.90000+ 1 1.22679- 2 3.07170- 4 1.40000+ 1 3.00000+ 1 1.90596- 2 3.11820- 4 1.40000+ 1 3.20000+ 1 2.02484- 4 3.36810- 4 1.40000+ 1 3.30000+ 1 2.97161- 4 3.37150- 4 1.40000+ 1 4.10000+ 1 1.27654- 3 3.36290- 4 1.60000+ 1 1.60000+ 1 7.31206- 4 7.79020- 4 1.60000+ 1 1.80000+ 1 1.10110- 3 8.49110- 4 1.60000+ 1 1.90000+ 1 1.63473- 2 8.81550- 4 1.60000+ 1 2.10000+ 1 9.85856- 4 9.98250- 4 1.60000+ 1 2.20000+ 1 1.07384- 3 1.00411- 3 1.60000+ 1 2.40000+ 1 5.07696- 4 1.14338- 3 1.60000+ 1 2.50000+ 1 7.74837- 4 1.14421- 3 1.60000+ 1 2.70000+ 1 1.93900- 4 1.10575- 3 1.60000+ 1 2.90000+ 1 1.25371- 4 1.12558- 3 1.60000+ 1 3.00000+ 1 1.50525- 3 1.13023- 3 1.60000+ 1 3.20000+ 1 3.89346- 6 1.15522- 3 1.60000+ 1 3.30000+ 1 3.89346- 6 1.15556- 3 1.60000+ 1 4.10000+ 1 1.71316- 5 1.15470- 3 1.80000+ 1 1.80000+ 1 1.46549- 4 9.19200- 4 1.80000+ 1 1.90000+ 1 1.95098- 2 9.51640- 4 1.80000+ 1 2.10000+ 1 4.87174- 4 1.06834- 3 1.80000+ 1 2.20000+ 1 3.54640- 3 1.07420- 3 1.80000+ 1 2.40000+ 1 5.79058- 4 1.21347- 3 1.80000+ 1 2.50000+ 1 3.44436- 3 1.21430- 3 1.80000+ 1 2.70000+ 1 1.31498- 4 1.17584- 3 1.80000+ 1 2.90000+ 1 3.08933- 5 1.19567- 3 1.80000+ 1 3.00000+ 1 1.82037- 3 1.20032- 3 1.80000+ 1 3.20000+ 1 2.37645- 6 1.22531- 3 1.80000+ 1 3.30000+ 1 1.34665- 5 1.22565- 3 1.80000+ 1 4.10000+ 1 1.10901- 5 1.22479- 3 1.90000+ 1 1.90000+ 1 2.68792- 2 9.84080- 4 1.90000+ 1 2.10000+ 1 3.69630- 2 1.10078- 3 1.90000+ 1 2.20000+ 1 4.95546- 2 1.10664- 3 1.90000+ 1 2.40000+ 1 1.02769- 2 1.24591- 3 1.90000+ 1 2.50000+ 1 1.17722- 2 1.24674- 3 1.90000+ 1 2.70000+ 1 2.66620- 3 1.20828- 3 1.90000+ 1 2.90000+ 1 2.58882- 3 1.22811- 3 1.90000+ 1 3.00000+ 1 6.06108- 3 1.23276- 3 1.90000+ 1 3.20000+ 1 1.65783- 4 1.25775- 3 1.90000+ 1 3.30000+ 1 2.11835- 4 1.25809- 3 1.90000+ 1 4.10000+ 1 2.35631- 4 1.25723- 3 2.10000+ 1 2.10000+ 1 2.48324- 4 1.21748- 3 2.10000+ 1 2.20000+ 1 4.50476- 3 1.22334- 3 2.10000+ 1 2.40000+ 1 2.27746- 4 1.36261- 3 2.10000+ 1 2.50000+ 1 2.86801- 3 1.36344- 3 2.10000+ 1 2.70000+ 1 1.06642- 4 1.32498- 3 2.10000+ 1 2.90000+ 1 3.88470- 5 1.34481- 3 2.10000+ 1 3.00000+ 1 3.39112- 3 1.34946- 3 2.10000+ 1 3.20000+ 1 1.52346- 6 1.37445- 3 2.10000+ 1 3.30000+ 1 1.75200- 5 1.37479- 3 2.10000+ 1 4.10000+ 1 9.14080- 6 1.37393- 3 2.20000+ 1 2.20000+ 1 2.24417- 3 1.22920- 3 2.20000+ 1 2.40000+ 1 2.25485- 3 1.36847- 3 2.20000+ 1 2.50000+ 1 1.99052- 3 1.36930- 3 2.20000+ 1 2.70000+ 1 1.18835- 4 1.33084- 3 2.20000+ 1 2.90000+ 1 2.97830- 4 1.35067- 3 2.20000+ 1 3.00000+ 1 4.50272- 3 1.35532- 3 2.20000+ 1 3.20000+ 1 1.82827- 5 1.38031- 3 2.20000+ 1 3.30000+ 1 1.75209- 5 1.38065- 3 2.20000+ 1 4.10000+ 1 9.90286- 6 1.37979- 3 2.40000+ 1 2.40000+ 1 1.12383- 4 1.50774- 3 2.40000+ 1 2.50000+ 1 3.92582- 3 1.50857- 3 2.40000+ 1 2.70000+ 1 5.95980- 5 1.47011- 3 2.40000+ 1 2.90000+ 1 7.15172- 5 1.48994- 3 2.40000+ 1 3.00000+ 1 1.00209- 3 1.49459- 3 2.40000+ 1 3.20000+ 1 1.70277- 6 1.51958- 3 2.40000+ 1 3.30000+ 1 1.02167- 5 1.51992- 3 2.40000+ 1 4.10000+ 1 5.10833- 6 1.51906- 3 2.50000+ 1 2.50000+ 1 1.25744- 3 1.50940- 3 2.50000+ 1 2.70000+ 1 6.96310- 5 1.47094- 3 2.50000+ 1 2.90000+ 1 4.13693- 4 1.49077- 3 2.50000+ 1 3.00000+ 1 1.13377- 3 1.49542- 3 2.50000+ 1 3.20000+ 1 1.39262- 5 1.52041- 3 2.50000+ 1 3.30000+ 1 9.01127- 6 1.52075- 3 2.50000+ 1 4.10000+ 1 5.73443- 6 1.51989- 3 2.70000+ 1 2.70000+ 1 1.57653- 5 1.43248- 3 2.70000+ 1 2.90000+ 1 1.76199- 5 1.45231- 3 2.70000+ 1 3.00000+ 1 2.96767- 4 1.45696- 3 2.70000+ 1 3.20000+ 1 9.27384- 7 1.48195- 3 2.70000+ 1 3.30000+ 1 9.27384- 7 1.48229- 3 2.70000+ 1 4.10000+ 1 2.78211- 6 1.48143- 3 2.90000+ 1 2.90000+ 1 2.27485- 6 1.47214- 3 2.90000+ 1 3.00000+ 1 3.59441- 4 1.47679- 3 2.90000+ 1 3.30000+ 1 1.13744- 6 1.50212- 3 2.90000+ 1 4.10000+ 1 2.27485- 6 1.50126- 3 3.00000+ 1 3.00000+ 1 8.88184- 4 1.48144- 3 3.00000+ 1 3.20000+ 1 4.13100- 5 1.50643- 3 3.00000+ 1 3.30000+ 1 5.16379- 5 1.50677- 3 3.00000+ 1 4.10000+ 1 5.78345- 5 1.50591- 3 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.93894- 3 9.20300- 4 1.90000+ 1 5.11724- 4 9.52740- 4 2.40000+ 1 2.83965- 3 1.21457- 3 2.90000+ 1 7.13394- 4 1.19677- 3 3.00000+ 1 9.53542- 5 1.20142- 3 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 8.51492- 2 1.47700- 5 1.40000+ 1 2.50000+ 1 1.28348- 2 1.56000- 5 1.40000+ 1 3.00000+ 1 3.01050- 3 1.62000- 6 1.40000+ 1 3.20000+ 1 1.12993- 3 2.66100- 5 1.40000+ 1 3.30000+ 1 1.51956- 4 2.69500- 5 1.40000+ 1 4.10000+ 1 2.62778- 4 2.60900- 5 1.60000+ 1 1.60000+ 1 2.85461- 5 4.68820- 4 1.60000+ 1 1.80000+ 1 2.98433- 3 5.38910- 4 1.60000+ 1 1.90000+ 1 2.05527- 3 5.71350- 4 1.60000+ 1 2.10000+ 1 7.02545- 2 6.88050- 4 1.60000+ 1 2.20000+ 1 8.77667- 3 6.93910- 4 1.60000+ 1 2.40000+ 1 9.39697- 3 8.33180- 4 1.60000+ 1 2.50000+ 1 3.16350- 3 8.34010- 4 1.60000+ 1 2.70000+ 1 2.59510- 5 7.95550- 4 1.60000+ 1 2.90000+ 1 3.24382- 4 8.15380- 4 1.60000+ 1 3.00000+ 1 1.79056- 4 8.20030- 4 1.60000+ 1 3.20000+ 1 2.43940- 4 8.45020- 4 1.60000+ 1 3.30000+ 1 2.85461- 5 8.45360- 4 1.60000+ 1 4.10000+ 1 2.59510- 6 8.44500- 4 1.80000+ 1 1.80000+ 1 1.58830- 3 6.09000- 4 1.80000+ 1 1.90000+ 1 1.07132- 2 6.41440- 4 1.80000+ 1 2.10000+ 1 5.97910- 2 7.58140- 4 1.80000+ 1 2.20000+ 1 5.09955- 3 7.64000- 4 1.80000+ 1 2.40000+ 1 5.98443- 3 9.03270- 4 1.80000+ 1 2.50000+ 1 3.26721- 3 9.04100- 4 1.80000+ 1 2.70000+ 1 3.26988- 4 8.65640- 4 1.80000+ 1 2.90000+ 1 3.55540- 4 8.85470- 4 1.80000+ 1 3.00000+ 1 1.07437- 3 8.90120- 4 1.80000+ 1 3.20000+ 1 2.05022- 4 9.15110- 4 1.80000+ 1 3.30000+ 1 2.07610- 5 9.15450- 4 1.80000+ 1 4.10000+ 1 2.59513- 5 9.14590- 4 1.90000+ 1 1.90000+ 1 3.93675- 3 6.73880- 4 1.90000+ 1 2.10000+ 1 1.28801- 1 7.90580- 4 1.90000+ 1 2.20000+ 1 4.82681- 3 7.96440- 4 1.90000+ 1 2.40000+ 1 3.93410- 3 9.35710- 4 1.90000+ 1 2.50000+ 1 1.90487- 3 9.36540- 4 1.90000+ 1 2.70000+ 1 2.54316- 4 8.98080- 4 1.90000+ 1 2.90000+ 1 1.02762- 3 9.17910- 4 1.90000+ 1 3.00000+ 1 7.60361- 4 9.22560- 4 1.90000+ 1 3.20000+ 1 4.46352- 4 9.47550- 4 1.90000+ 1 3.30000+ 1 1.55704- 5 9.47890- 4 1.90000+ 1 4.10000+ 1 2.07605- 5 9.47030- 4 2.10000+ 1 2.10000+ 1 1.08107- 1 9.07280- 4 2.10000+ 1 2.20000+ 1 2.20087- 1 9.13140- 4 2.10000+ 1 2.40000+ 1 3.63577- 2 1.05241- 3 2.10000+ 1 2.50000+ 1 4.71050- 2 1.05324- 3 2.10000+ 1 2.70000+ 1 1.07419- 2 1.01478- 3 2.10000+ 1 2.90000+ 1 8.22151- 3 1.03461- 3 2.10000+ 1 3.00000+ 1 1.66560- 2 1.03926- 3 2.10000+ 1 3.20000+ 1 8.61605- 4 1.06425- 3 2.10000+ 1 3.30000+ 1 9.26478- 4 1.06459- 3 2.10000+ 1 4.10000+ 1 9.42049- 4 1.06373- 3 2.20000+ 1 2.20000+ 1 3.61498- 3 9.19000- 4 2.20000+ 1 2.40000+ 1 3.63338- 2 1.05827- 3 2.20000+ 1 2.50000+ 1 2.14104- 3 1.05910- 3 2.20000+ 1 2.70000+ 1 7.62966- 4 1.02064- 3 2.20000+ 1 2.90000+ 1 4.69703- 4 1.04047- 3 2.20000+ 1 3.00000+ 1 5.11226- 4 1.04512- 3 2.20000+ 1 3.20000+ 1 7.70747- 4 1.07011- 3 2.20000+ 1 3.30000+ 1 2.59508- 5 1.07045- 3 2.20000+ 1 4.10000+ 1 6.22820- 5 1.06959- 3 2.40000+ 1 2.40000+ 1 1.20319- 2 1.19754- 3 2.40000+ 1 2.50000+ 1 4.42625- 2 1.19837- 3 2.40000+ 1 2.70000+ 1 1.67499- 3 1.15991- 3 2.40000+ 1 2.90000+ 1 7.62975- 4 1.17974- 3 2.40000+ 1 3.00000+ 1 5.63297- 4 1.18439- 3 2.40000+ 1 3.20000+ 1 1.51993- 4 1.20938- 3 2.40000+ 1 3.30000+ 1 1.69875- 4 1.20972- 3 2.40000+ 1 4.10000+ 1 1.49020- 4 1.20886- 3 2.50000+ 1 2.50000+ 1 7.20300- 4 1.19920- 3 2.50000+ 1 2.70000+ 1 3.58841- 4 1.16074- 3 2.50000+ 1 2.90000+ 1 2.18984- 4 1.18057- 3 2.50000+ 1 3.00000+ 1 2.24261- 4 1.18522- 3 2.50000+ 1 3.20000+ 1 1.55662- 4 1.21021- 3 2.50000+ 1 3.30000+ 1 7.91531- 6 1.21055- 3 2.50000+ 1 4.10000+ 1 2.90227- 5 1.20969- 3 2.70000+ 1 2.70000+ 1 6.55653- 6 1.12228- 3 2.70000+ 1 2.90000+ 1 9.83514- 5 1.14211- 3 2.70000+ 1 3.00000+ 1 5.90119- 5 1.14676- 3 2.70000+ 1 3.20000+ 1 9.17917- 5 1.17175- 3 2.70000+ 1 3.30000+ 1 6.55653- 6 1.17209- 3 2.90000+ 1 2.90000+ 1 6.66204- 5 1.16194- 3 2.90000+ 1 3.00000+ 1 3.49747- 4 1.16659- 3 2.90000+ 1 3.20000+ 1 9.16031- 5 1.19158- 3 2.90000+ 1 3.30000+ 1 8.32756- 6 1.19192- 3 2.90000+ 1 4.10000+ 1 8.32756- 6 1.19106- 3 3.00000+ 1 3.00000+ 1 2.11015- 4 1.17124- 3 3.00000+ 1 3.20000+ 1 3.09486- 4 1.19623- 3 3.00000+ 1 3.30000+ 1 1.40672- 5 1.19657- 3 3.00000+ 1 4.10000+ 1 1.40672- 5 1.19571- 3 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 4.12453- 3 9.20940- 4 2.40000+ 1 1.68071- 4 1.18277- 3 2.50000+ 1 3.25482- 3 1.18360- 3 3.00000+ 1 8.87426- 4 1.16962- 3 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.80000+ 1 8.31436- 4 5.07110- 4 1.60000+ 1 1.90000+ 1 5.03947- 3 5.39550- 4 1.60000+ 1 2.10000+ 1 7.43484- 3 6.56250- 4 1.60000+ 1 2.20000+ 1 8.18711- 2 6.62110- 4 1.60000+ 1 2.40000+ 1 3.29456- 3 8.01380- 4 1.60000+ 1 2.50000+ 1 1.09309- 2 8.02210- 4 1.60000+ 1 2.70000+ 1 1.97952- 5 7.63750- 4 1.60000+ 1 2.90000+ 1 4.80763- 5 7.83580- 4 1.60000+ 1 3.00000+ 1 4.83591- 4 7.88230- 4 1.60000+ 1 3.20000+ 1 2.54524- 5 8.13220- 4 1.60000+ 1 3.30000+ 1 2.68662- 4 8.13560- 4 1.60000+ 1 4.10000+ 1 2.82810- 6 8.12700- 4 1.80000+ 1 1.80000+ 1 1.41392- 5 5.77200- 4 1.80000+ 1 1.90000+ 1 1.20610- 2 6.09640- 4 1.80000+ 1 2.10000+ 1 7.23974- 4 7.26340- 4 1.80000+ 1 2.20000+ 1 8.13589- 2 7.32200- 4 1.80000+ 1 2.40000+ 1 1.47907- 3 8.71470- 4 1.80000+ 1 2.50000+ 1 5.33929- 3 8.72300- 4 1.80000+ 1 2.70000+ 1 8.76686- 5 8.33840- 4 1.80000+ 1 2.90000+ 1 5.65597- 6 8.53670- 4 1.80000+ 1 3.00000+ 1 1.15103- 3 8.58320- 4 1.80000+ 1 3.20000+ 1 2.82813- 6 8.83310- 4 1.80000+ 1 3.30000+ 1 2.68665- 4 8.83650- 4 1.80000+ 1 4.10000+ 1 8.48410- 6 8.82790- 4 1.90000+ 1 1.90000+ 1 9.27869- 3 6.42080- 4 1.90000+ 1 2.10000+ 1 7.62434- 3 7.58780- 4 1.90000+ 1 2.20000+ 1 1.30812- 1 7.64640- 4 1.90000+ 1 2.40000+ 1 2.39249- 3 9.03910- 4 1.90000+ 1 2.50000+ 1 5.67004- 3 9.04740- 4 1.90000+ 1 2.70000+ 1 6.19333- 4 8.66280- 4 1.90000+ 1 2.90000+ 1 1.12284- 3 8.86110- 4 1.90000+ 1 3.00000+ 1 1.82964- 3 8.90760- 4 1.90000+ 1 3.20000+ 1 3.11086- 5 9.15750- 4 1.90000+ 1 3.30000+ 1 4.29854- 4 9.16090- 4 1.90000+ 1 4.10000+ 1 5.09037- 5 9.15230- 4 2.10000+ 1 2.10000+ 1 1.64874- 3 8.75480- 4 2.10000+ 1 2.20000+ 1 1.69599- 1 8.81340- 4 2.10000+ 1 2.40000+ 1 1.84380- 3 1.02061- 3 2.10000+ 1 2.50000+ 1 2.45194- 2 1.02144- 3 2.10000+ 1 2.70000+ 1 6.30655- 4 9.82980- 4 2.10000+ 1 2.90000+ 1 1.01816- 4 1.00281- 3 2.10000+ 1 3.00000+ 1 7.29643- 4 1.00746- 3 2.10000+ 1 3.20000+ 1 1.13116- 5 1.03245- 3 2.10000+ 1 3.30000+ 1 5.65600- 4 1.03279- 3 2.10000+ 1 4.10000+ 1 5.09046- 5 1.03193- 3 2.20000+ 1 2.20000+ 1 1.94139- 1 8.87200- 4 2.20000+ 1 2.40000+ 1 4.39084- 2 1.02647- 3 2.20000+ 1 2.50000+ 1 6.60343- 2 1.02730- 3 2.20000+ 1 2.70000+ 1 1.21312- 2 9.88840- 4 2.20000+ 1 2.90000+ 1 1.07668- 2 1.00867- 3 2.20000+ 1 3.00000+ 1 1.70380- 2 1.01332- 3 2.20000+ 1 3.20000+ 1 7.49423- 4 1.03831- 3 2.20000+ 1 3.30000+ 1 1.46494- 3 1.03865- 3 2.20000+ 1 4.10000+ 1 1.06057- 3 1.03779- 3 2.40000+ 1 2.40000+ 1 1.00109- 3 1.16574- 3 2.40000+ 1 2.50000+ 1 4.04578- 2 1.16657- 3 2.40000+ 1 2.70000+ 1 4.42796- 4 1.12811- 3 2.40000+ 1 2.90000+ 1 2.05357- 4 1.14794- 3 2.40000+ 1 3.00000+ 1 2.59908- 4 1.15259- 3 2.40000+ 1 3.20000+ 1 9.62588- 6 1.17758- 3 2.40000+ 1 3.30000+ 1 1.57211- 4 1.17792- 3 2.40000+ 1 4.10000+ 1 3.85037- 5 1.17706- 3 2.50000+ 1 2.50000+ 1 2.39342- 2 1.16740- 3 2.50000+ 1 2.70000+ 1 1.87732- 3 1.12894- 3 2.50000+ 1 2.90000+ 1 7.92977- 4 1.14877- 3 2.50000+ 1 3.00000+ 1 7.41199- 4 1.15342- 3 2.50000+ 1 3.20000+ 1 1.16526- 4 1.17841- 3 2.50000+ 1 3.30000+ 1 2.62176- 4 1.17875- 3 2.50000+ 1 4.10000+ 1 1.61820- 4 1.17789- 3 2.70000+ 1 2.70000+ 1 1.15515- 5 1.09048- 3 2.70000+ 1 2.90000+ 1 2.31019- 5 1.11031- 3 2.70000+ 1 3.00000+ 1 2.54130- 4 1.11496- 3 2.70000+ 1 3.20000+ 1 1.15515- 5 1.13995- 3 2.70000+ 1 3.30000+ 1 1.61718- 4 1.14029- 3 2.90000+ 1 3.00000+ 1 3.36527- 4 1.13479- 3 2.90000+ 1 3.30000+ 1 1.09376- 4 1.16012- 3 3.00000+ 1 3.00000+ 1 3.49315- 4 1.13944- 3 3.00000+ 1 3.20000+ 1 1.05857- 5 1.16443- 3 3.00000+ 1 3.30000+ 1 2.11703- 4 1.16477- 3 3.00000+ 1 4.10000+ 1 2.11703- 5 1.16391- 3 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.51836- 5 7.00900- 5 1.90000+ 1 9.66993- 5 1.02530- 4 2.90000+ 1 4.18163- 5 3.46560- 4 3.00000+ 1 3.21927- 5 3.51210- 4 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 2.24379- 2 5.30600- 5 1.80000+ 1 2.50000+ 1 3.30401- 2 5.38900- 5 1.80000+ 1 2.70000+ 1 4.63146- 2 1.54300- 5 1.80000+ 1 2.90000+ 1 3.78800- 2 3.52600- 5 1.80000+ 1 3.00000+ 1 7.68365- 2 3.99100- 5 1.80000+ 1 3.20000+ 1 2.10593- 3 6.49000- 5 1.80000+ 1 3.30000+ 1 3.83745- 3 6.52400- 5 1.80000+ 1 4.10000+ 1 3.99271- 3 6.43800- 5 1.90000+ 1 2.40000+ 1 9.78255- 2 8.55000- 5 1.90000+ 1 2.50000+ 1 1.18418- 1 8.63300- 5 1.90000+ 1 2.70000+ 1 5.99730- 2 4.78700- 5 1.90000+ 1 2.90000+ 1 6.21932- 2 6.77000- 5 1.90000+ 1 3.00000+ 1 8.10762- 2 7.23500- 5 1.90000+ 1 3.20000+ 1 3.47852- 3 9.73400- 5 1.90000+ 1 3.30000+ 1 4.10086- 3 9.76800- 5 1.90000+ 1 4.10000+ 1 5.19442- 3 9.68200- 5 2.10000+ 1 2.10000+ 1 4.61154- 3 5.70700- 5 2.10000+ 1 2.20000+ 1 2.06468- 2 6.29300- 5 2.10000+ 1 2.40000+ 1 3.58280- 3 2.02200- 4 2.10000+ 1 2.50000+ 1 8.53931- 3 2.03030- 4 2.10000+ 1 2.70000+ 1 2.00441- 2 1.64570- 4 2.10000+ 1 2.90000+ 1 4.21412- 3 1.84400- 4 2.10000+ 1 3.00000+ 1 1.20842- 2 1.89050- 4 2.10000+ 1 3.20000+ 1 8.36620- 5 2.14040- 4 2.10000+ 1 3.30000+ 1 8.72477- 5 2.14380- 4 2.10000+ 1 4.10000+ 1 1.42898- 3 2.13520- 4 2.20000+ 1 2.20000+ 1 1.14032- 2 6.87900- 5 2.20000+ 1 2.40000+ 1 9.71970- 3 2.08060- 4 2.20000+ 1 2.50000+ 1 8.58952- 3 2.08890- 4 2.20000+ 1 2.70000+ 1 2.90511- 2 1.70430- 4 2.20000+ 1 2.90000+ 1 1.14523- 2 1.90260- 4 2.20000+ 1 3.00000+ 1 1.16208- 2 1.94910- 4 2.20000+ 1 3.20000+ 1 8.41063- 5 2.19900- 4 2.20000+ 1 3.30000+ 1 1.36149- 4 2.20240- 4 2.20000+ 1 4.10000+ 1 2.06403- 3 2.19380- 4 2.40000+ 1 2.40000+ 1 1.54896- 3 3.47330- 4 2.40000+ 1 2.50000+ 1 4.60660- 3 3.48160- 4 2.40000+ 1 2.70000+ 1 9.80544- 3 3.09700- 4 2.40000+ 1 2.90000+ 1 1.20606- 3 3.29530- 4 2.40000+ 1 3.00000+ 1 3.03271- 3 3.34180- 4 2.40000+ 1 3.20000+ 1 1.74842- 5 3.59170- 4 2.40000+ 1 3.30000+ 1 1.31737- 5 3.59510- 4 2.40000+ 1 4.10000+ 1 6.33047- 4 3.58650- 4 2.50000+ 1 2.50000+ 1 2.68213- 3 3.48990- 4 2.50000+ 1 2.70000+ 1 1.21916- 2 3.10530- 4 2.50000+ 1 2.90000+ 1 8.18649- 4 3.30360- 4 2.50000+ 1 3.00000+ 1 3.64959- 3 3.35010- 4 2.50000+ 1 3.20000+ 1 1.09793- 5 3.60000- 4 2.50000+ 1 3.30000+ 1 2.56188- 5 3.60340- 4 2.50000+ 1 4.10000+ 1 7.86861- 4 3.59480- 4 2.70000+ 1 2.70000+ 1 1.71075- 2 2.72070- 4 2.70000+ 1 2.90000+ 1 2.12552- 2 2.91900- 4 2.70000+ 1 3.00000+ 1 3.67632- 2 2.96550- 4 2.70000+ 1 3.20000+ 1 1.32119- 3 3.21540- 4 2.70000+ 1 3.30000+ 1 1.81252- 3 3.21880- 4 2.70000+ 1 4.10000+ 1 2.63224- 3 3.21020- 4 2.90000+ 1 2.90000+ 1 5.33828- 3 3.11730- 4 2.90000+ 1 3.00000+ 1 2.25386- 2 3.16380- 4 2.90000+ 1 3.20000+ 1 3.77442- 4 3.41370- 4 2.90000+ 1 3.30000+ 1 4.63765- 4 3.41710- 4 2.90000+ 1 4.10000+ 1 4.46467- 3 3.40850- 4 3.00000+ 1 3.00000+ 1 1.76177- 2 3.21030- 4 3.00000+ 1 3.20000+ 1 6.02511- 4 3.46020- 4 3.00000+ 1 3.30000+ 1 8.20628- 4 3.46360- 4 3.00000+ 1 4.10000+ 1 7.52077- 3 3.45500- 4 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.18900- 4 1.49140- 4 2.70000+ 1 7.16307- 5 2.56640- 4 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 4.84278- 2 1.54100- 5 1.90000+ 1 2.50000+ 1 3.78613- 2 1.62400- 5 1.90000+ 1 2.90000+ 1 1.22742- 2 0.00000+ 0 1.90000+ 1 3.00000+ 1 1.43954- 2 2.26000- 6 1.90000+ 1 3.20000+ 1 4.40668- 4 2.72500- 5 1.90000+ 1 3.30000+ 1 6.87600- 4 2.75900- 5 1.90000+ 1 4.10000+ 1 1.78243- 3 2.67300- 5 2.10000+ 1 2.20000+ 1 7.12134- 2 0.00000+ 0 2.10000+ 1 2.40000+ 1 1.46786- 1 1.32110- 4 2.10000+ 1 2.50000+ 1 3.06962- 1 1.32940- 4 2.10000+ 1 2.70000+ 1 6.07419- 2 9.44800- 5 2.10000+ 1 2.90000+ 1 4.35526- 2 1.14310- 4 2.10000+ 1 3.00000+ 1 7.94593- 2 1.18960- 4 2.10000+ 1 3.20000+ 1 1.88846- 3 1.43950- 4 2.10000+ 1 3.30000+ 1 3.61390- 3 1.44290- 4 2.10000+ 1 4.10000+ 1 5.24890- 3 1.43430- 4 2.20000+ 1 2.20000+ 1 1.02337- 2 0.00000+ 0 2.20000+ 1 2.40000+ 1 2.72731- 2 1.37970- 4 2.20000+ 1 2.50000+ 1 7.20527- 3 1.38800- 4 2.20000+ 1 2.70000+ 1 7.13517- 3 1.00340- 4 2.20000+ 1 2.90000+ 1 3.03368- 2 1.20170- 4 2.20000+ 1 3.00000+ 1 6.72001- 3 1.24820- 4 2.20000+ 1 3.20000+ 1 2.81493- 4 1.49810- 4 2.20000+ 1 3.30000+ 1 1.47879- 4 1.50150- 4 2.20000+ 1 4.10000+ 1 5.40171- 4 1.49290- 4 2.40000+ 1 2.40000+ 1 8.66030- 4 2.77240- 4 2.40000+ 1 2.50000+ 1 7.38751- 3 2.78070- 4 2.40000+ 1 2.70000+ 1 2.40298- 3 2.39610- 4 2.40000+ 1 2.90000+ 1 9.02496- 3 2.59440- 4 2.40000+ 1 3.00000+ 1 3.06463- 3 2.64090- 4 2.40000+ 1 3.20000+ 1 1.14464- 4 2.89080- 4 2.40000+ 1 3.30000+ 1 4.30407- 5 2.89420- 4 2.40000+ 1 4.10000+ 1 2.05272- 4 2.88560- 4 2.50000+ 1 2.50000+ 1 2.54412- 4 2.78900- 4 2.50000+ 1 2.70000+ 1 1.23617- 3 2.40440- 4 2.50000+ 1 2.90000+ 1 1.45324- 2 2.60270- 4 2.50000+ 1 3.00000+ 1 1.10948- 3 2.64920- 4 2.50000+ 1 3.20000+ 1 2.29248- 4 2.89910- 4 2.50000+ 1 3.30000+ 1 1.51440- 5 2.90250- 4 2.50000+ 1 4.10000+ 1 8.80655- 5 2.89390- 4 2.70000+ 1 2.70000+ 1 2.21546- 4 2.01980- 4 2.70000+ 1 2.90000+ 1 3.65827- 3 2.21810- 4 2.70000+ 1 3.00000+ 1 5.92424- 4 2.26460- 4 2.70000+ 1 3.20000+ 1 4.47031- 5 2.51450- 4 2.70000+ 1 3.30000+ 1 2.70175- 5 2.51790- 4 2.70000+ 1 4.10000+ 1 3.29126- 5 2.50930- 4 2.90000+ 1 2.90000+ 1 6.65120- 3 2.41640- 4 2.90000+ 1 3.00000+ 1 1.89534- 2 2.46290- 4 2.90000+ 1 3.20000+ 1 5.58021- 4 2.71280- 4 2.90000+ 1 3.30000+ 1 9.35735- 4 2.71620- 4 2.90000+ 1 4.10000+ 1 1.03745- 3 2.70760- 4 3.00000+ 1 3.00000+ 1 7.34587- 4 2.50940- 4 3.00000+ 1 3.20000+ 1 1.90345- 4 2.75930- 4 3.00000+ 1 3.30000+ 1 5.34816- 5 2.76270- 4 3.00000+ 1 4.10000+ 1 1.35281- 4 2.75410- 4 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 8.20865- 6 1.16700- 4 2.20000+ 1 8.89425- 5 1.22560- 4 2.70000+ 1 3.46188- 5 2.24200- 4 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.65944- 2 9.96700- 5 2.10000+ 1 2.50000+ 1 4.98200- 2 1.00500- 4 2.10000+ 1 2.70000+ 1 1.65834- 2 6.20400- 5 2.10000+ 1 2.90000+ 1 1.25180- 2 8.18700- 5 2.10000+ 1 3.00000+ 1 4.83143- 2 8.65200- 5 2.10000+ 1 3.20000+ 1 4.93204- 4 1.11510- 4 2.10000+ 1 3.30000+ 1 1.12317- 3 1.11850- 4 2.10000+ 1 4.10000+ 1 1.41274- 3 1.10990- 4 2.20000+ 1 2.40000+ 1 2.20358- 1 1.05530- 4 2.20000+ 1 2.50000+ 1 2.27516- 1 1.06360- 4 2.20000+ 1 2.70000+ 1 8.56831- 2 6.79000- 5 2.20000+ 1 2.90000+ 1 8.41657- 2 8.77300- 5 2.20000+ 1 3.00000+ 1 1.26614- 1 9.23800- 5 2.20000+ 1 3.20000+ 1 4.45374- 3 1.17370- 4 2.20000+ 1 3.30000+ 1 4.90815- 3 1.17710- 4 2.20000+ 1 4.10000+ 1 7.61659- 3 1.16850- 4 2.40000+ 1 2.40000+ 1 2.81870- 4 2.44800- 4 2.40000+ 1 2.50000+ 1 9.75886- 3 2.45630- 4 2.40000+ 1 2.70000+ 1 3.24779- 3 2.07170- 4 2.40000+ 1 2.90000+ 1 1.46378- 3 2.27000- 4 2.40000+ 1 3.00000+ 1 2.16477- 2 2.31650- 4 2.40000+ 1 3.20000+ 1 2.80218- 5 2.56640- 4 2.40000+ 1 3.30000+ 1 2.11002- 4 2.56980- 4 2.40000+ 1 4.10000+ 1 2.14711- 4 2.56120- 4 2.50000+ 1 2.50000+ 1 3.29576- 3 2.46460- 4 2.50000+ 1 2.70000+ 1 6.65034- 3 2.08000- 4 2.50000+ 1 2.90000+ 1 5.63578- 3 2.27830- 4 2.50000+ 1 3.00000+ 1 2.52937- 2 2.32480- 4 2.50000+ 1 3.20000+ 1 4.58772- 5 2.57470- 4 2.50000+ 1 3.30000+ 1 2.22266- 4 2.57810- 4 2.50000+ 1 4.10000+ 1 4.91995- 4 2.56950- 4 2.70000+ 1 2.70000+ 1 2.38695- 5 1.69540- 4 2.70000+ 1 2.90000+ 1 2.18900- 4 1.89370- 4 2.70000+ 1 3.00000+ 1 4.22296- 3 1.94020- 4 2.70000+ 1 3.20000+ 1 2.08222- 5 2.19010- 4 2.70000+ 1 3.30000+ 1 4.21541- 5 2.19350- 4 2.70000+ 1 4.10000+ 1 4.06303- 6 2.18490- 4 2.90000+ 1 2.90000+ 1 2.05888- 5 2.09200- 4 2.90000+ 1 3.00000+ 1 2.23147- 3 2.13850- 4 2.90000+ 1 3.20000+ 1 5.92267- 6 2.38840- 4 2.90000+ 1 3.30000+ 1 2.22806- 5 2.39180- 4 2.90000+ 1 4.10000+ 1 9.02479- 6 2.38320- 4 3.00000+ 1 3.00000+ 1 5.44170- 3 2.18500- 4 3.00000+ 1 3.20000+ 1 2.43300- 4 2.43490- 4 3.00000+ 1 3.30000+ 1 3.21886- 4 2.43830- 4 3.00000+ 1 4.10000+ 1 3.75276- 4 2.42970- 4 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 8.86250- 6 1.45130- 4 2.90000+ 1 1.08241- 5 1.27330- 4 3.00000+ 1 1.73556- 6 1.31980- 4 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.20000+ 1 3.11287- 2 6.70000- 7 2.20000+ 1 3.30000+ 1 5.75006- 3 1.01000- 6 2.20000+ 1 4.10000+ 1 3.66241- 3 1.50000- 7 2.40000+ 1 2.40000+ 1 1.00853- 1 1.28100- 4 2.40000+ 1 2.50000+ 1 3.88655- 1 1.28930- 4 2.40000+ 1 2.70000+ 1 7.51963- 2 9.04700- 5 2.40000+ 1 2.90000+ 1 6.30367- 2 1.10300- 4 2.40000+ 1 3.00000+ 1 1.02011- 1 1.14950- 4 2.40000+ 1 3.20000+ 1 4.60786- 3 1.39940- 4 2.40000+ 1 3.30000+ 1 4.81983- 3 1.40280- 4 2.40000+ 1 4.10000+ 1 6.64352- 3 1.39420- 4 2.50000+ 1 2.50000+ 1 2.03164- 3 1.29760- 4 2.50000+ 1 2.70000+ 1 4.13017- 3 9.13000- 5 2.50000+ 1 2.90000+ 1 1.12614- 2 1.11130- 4 2.50000+ 1 3.00000+ 1 3.91910- 3 1.15780- 4 2.50000+ 1 3.20000+ 1 2.59365- 3 1.40770- 4 2.50000+ 1 3.30000+ 1 1.03166- 4 1.41110- 4 2.50000+ 1 4.10000+ 1 3.08978- 4 1.40250- 4 2.70000+ 1 2.70000+ 1 9.77560- 3 5.28400- 5 2.70000+ 1 2.90000+ 1 9.42369- 3 7.26700- 5 2.70000+ 1 3.00000+ 1 1.12841- 2 7.73200- 5 2.70000+ 1 3.20000+ 1 2.46294- 3 1.02310- 4 2.70000+ 1 3.30000+ 1 9.43731- 4 1.02650- 4 2.70000+ 1 4.10000+ 1 9.46094- 4 1.01790- 4 2.90000+ 1 2.90000+ 1 2.21145- 2 9.25000- 5 2.90000+ 1 3.00000+ 1 7.74010- 2 9.71500- 5 2.90000+ 1 3.20000+ 1 8.16434- 3 1.22140- 4 2.90000+ 1 3.30000+ 1 2.79563- 3 1.22480- 4 2.90000+ 1 4.10000+ 1 3.18505- 3 1.21620- 4 3.00000+ 1 3.00000+ 1 2.51433- 2 1.01800- 4 3.00000+ 1 3.20000+ 1 1.23085- 2 1.26790- 4 3.00000+ 1 3.30000+ 1 1.23545- 3 1.27130- 4 3.00000+ 1 4.10000+ 1 2.08189- 3 1.26270- 4 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.62684- 7 1.39270- 4 2.50000+ 1 9.38668- 6 1.40100- 4 3.00000+ 1 1.21911- 5 1.26120- 4 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 7.97336- 3 1.22240- 4 2.40000+ 1 2.50000+ 1 3.73817- 1 1.23070- 4 2.40000+ 1 2.70000+ 1 1.27675- 2 8.46100- 5 2.40000+ 1 2.90000+ 1 7.32772- 3 1.04440- 4 2.40000+ 1 3.00000+ 1 2.60438- 2 1.09090- 4 2.40000+ 1 3.20000+ 1 2.92343- 4 1.34080- 4 2.40000+ 1 3.30000+ 1 5.32581- 3 1.34420- 4 2.40000+ 1 4.10000+ 1 1.02660- 3 1.33560- 4 2.50000+ 1 2.50000+ 1 2.16502- 1 1.23900- 4 2.50000+ 1 2.70000+ 1 9.03916- 2 8.54400- 5 2.50000+ 1 2.90000+ 1 8.95410- 2 1.05270- 4 2.50000+ 1 3.00000+ 1 1.19078- 1 1.09920- 4 2.50000+ 1 3.20000+ 1 4.64165- 3 1.34910- 4 2.50000+ 1 3.30000+ 1 8.76265- 3 1.35250- 4 2.50000+ 1 4.10000+ 1 8.03718- 3 1.34390- 4 2.70000+ 1 2.70000+ 1 5.37133- 3 4.69800- 5 2.70000+ 1 2.90000+ 1 2.91927- 3 6.68100- 5 2.70000+ 1 3.00000+ 1 7.62696- 3 7.14600- 5 2.70000+ 1 3.20000+ 1 3.68475- 4 9.64500- 5 2.70000+ 1 3.30000+ 1 1.26015- 3 9.67900- 5 2.70000+ 1 4.10000+ 1 5.10981- 4 9.59300- 5 2.90000+ 1 2.90000+ 1 4.98301- 4 8.66400- 5 2.90000+ 1 3.00000+ 1 5.27243- 3 9.12900- 5 2.90000+ 1 3.20000+ 1 3.90823- 5 1.16280- 4 2.90000+ 1 3.30000+ 1 6.40961- 4 1.16620- 4 2.90000+ 1 4.10000+ 1 1.20184- 4 1.15760- 4 3.00000+ 1 3.00000+ 1 2.54961- 3 9.59400- 5 3.00000+ 1 3.20000+ 1 1.41040- 4 1.20930- 4 3.00000+ 1 3.30000+ 1 8.71232- 4 1.21270- 4 3.00000+ 1 4.10000+ 1 2.59548- 4 1.20410- 4 1 64000 0 7 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.75379- 8 1.98300- 5 3.00000+ 1 1.43410- 7 2.44800- 5 1 64000 0 9 1.57250+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 4.06729- 1 1.41200- 5 3.00000+ 1 4.10000+ 1 5.85459- 1 1.87700- 5 4.10000+ 1 4.10000+ 1 7.81169- 3 4.32400- 5 1 65000 0 0 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 3.86000+ 0 2.50000+ 1 5.14000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 1 65000 0 0 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.20600- 2 3.00000+ 0 8.67310- 3 5.00000+ 0 8.26090- 3 6.00000+ 0 7.50530- 3 8.00000+ 0 1.93580- 3 1.00000+ 1 1.75340- 3 1.10000+ 1 1.59680- 3 1.30000+ 1 1.27900- 3 1.40000+ 1 1.24460- 3 1.60000+ 1 3.88390- 4 1.80000+ 1 3.16000- 4 1.90000+ 1 2.81040- 4 2.10000+ 1 1.60590- 4 2.20000+ 1 1.54290- 4 2.40000+ 1 1.03900- 5 2.50000+ 1 9.53000- 6 2.70000+ 1 5.21700- 5 2.90000+ 1 3.22400- 5 3.00000+ 1 2.75900- 5 4.10000+ 1 5.29000- 6 1 65000 0 0 1.58925+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.83070- 2 3.00000+ 0 1.55710- 2 5.00000+ 0 1.55760- 2 6.00000+ 0 1.27780- 2 8.00000+ 0 4.81640- 3 1.00000+ 1 4.73030- 3 1.10000+ 1 4.06880- 3 1.30000+ 1 3.93430- 3 1.40000+ 1 3.78000- 3 1.60000+ 1 1.50110- 3 1.80000+ 1 1.40790- 3 1.90000+ 1 1.21890- 3 2.10000+ 1 1.03820- 3 2.20000+ 1 9.96910- 4 2.40000+ 1 6.00050- 4 2.50000+ 1 5.85940- 4 2.70000+ 1 3.09880- 4 2.90000+ 1 2.43840- 4 3.00000+ 1 2.05060- 4 4.10000+ 1 3.00000- 5 1 65000 0 0 1.58925+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.13650-10 3.00000+ 0 4.80000-10 5.00000+ 0 3.99670-10 6.00000+ 0 4.36360-10 8.00000+ 0 1.25770- 9 1.00000+ 1 1.20170- 9 1.10000+ 1 1.27080- 9 1.30000+ 1 1.12300- 9 1.40000+ 1 1.14460- 9 1.60000+ 1 2.84600- 9 1.80000+ 1 2.90010- 9 1.90000+ 1 3.05760- 9 2.10000+ 1 3.22600- 9 2.20000+ 1 3.28080- 9 2.40000+ 1 4.36750- 9 2.50000+ 1 4.44080- 9 2.70000+ 1 6.91220- 9 2.90000+ 1 7.75020- 9 3.00000+ 1 8.27150- 9 4.10000+ 1 2.19610- 8 1 65000 0 0 1.58925+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.17420- 5 3.00000+ 0 4.22490- 7 5.00000+ 0 7.23400- 7 6.00000+ 0 6.61500- 7 8.00000+ 0 1.31590- 8 1.00000+ 1 1.34930- 8 1.10000+ 1 1.38920- 8 1.30000+ 1 9.02190- 9 1.40000+ 1 8.48290- 9 1.60000+ 1 3.36750-10 1.80000+ 1 6.63330-10 1.90000+ 1 4.49600-10 2.10000+ 1 3.80390-10 2.20000+ 1 3.46230-10 2.70000+ 1 1.62910-11 1 65000 0 0 1.58925+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.47820- 6 3.00000+ 0 4.29400- 6 5.00000+ 0 3.04970- 6 6.00000+ 0 2.96890- 6 8.00000+ 0 1.65160- 5 1.00000+ 1 8.47010- 6 1.10000+ 1 8.55930- 6 1.30000+ 1 1.54410- 6 1.40000+ 1 9.96900- 7 1.60000+ 1 1.13390- 5 1.80000+ 1 1.44170- 5 1.90000+ 1 7.54700- 6 2.10000+ 1 3.42330- 6 2.20000+ 1 2.84170- 6 2.70000+ 1 2.31350- 6 1 65000 0 0 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.19295- 4 3.00000+ 0 1.47714- 4 5.00000+ 0 1.24647- 4 6.00000+ 0 1.16749- 4 8.00000+ 0 1.09464- 4 1.00000+ 1 9.29230- 5 1.10000+ 1 8.47148- 5 1.30000+ 1 6.13277- 5 1.40000+ 1 5.76434- 5 1.60000+ 1 6.26166- 5 1.80000+ 1 5.14467- 5 1.90000+ 1 4.42559- 5 2.10000+ 1 3.09874- 5 2.20000+ 1 2.69212- 5 2.40000+ 1 1.03900- 5 2.50000+ 1 9.53000- 6 2.70000+ 1 3.46094- 5 2.90000+ 1 3.22400- 5 3.00000+ 1 2.75900- 5 4.10000+ 1 5.29000- 6 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.11255+ 0 3.00000+ 0 2.01055- 1 5.00000+ 0 2.28297- 1 6.00000+ 0 1.89015- 1 8.00000+ 0 1.13812- 2 1.00000+ 1 1.17260- 2 1.10000+ 1 1.11246- 2 1.30000+ 1 1.01188- 2 1.40000+ 1 9.55894- 3 1.60000+ 1 3.86274- 4 1.80000+ 1 4.74115- 4 1.90000+ 1 1.70749- 4 2.10000+ 1 2.79886- 5 2.20000+ 1 2.75265- 5 2.70000+ 1 2.64929- 7 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.37954- 2 3.00000+ 0 1.29619- 3 5.00000+ 0 1.51087- 3 6.00000+ 0 1.12082- 3 8.00000+ 0 1.36151- 5 1.00000+ 1 1.37414- 5 1.10000+ 1 1.30028- 5 1.30000+ 1 1.12159- 5 1.40000+ 1 1.05815- 5 1.60000+ 1 7.14609- 8 1.80000+ 1 8.14638- 8 1.90000+ 1 2.58746- 8 2.10000+ 1 3.89827- 9 2.20000+ 1 3.74963- 9 2.70000+ 1 6.25560-12 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.64702+ 0 3.00000+ 0 9.62272+ 0 5.00000+ 0 7.99300+ 0 6.00000+ 0 7.52180+ 0 8.00000+ 0 6.85523+ 0 1.00000+ 1 5.65025+ 0 1.10000+ 1 5.15822+ 0 1.30000+ 1 3.43056+ 0 1.40000+ 1 3.28792+ 0 1.60000+ 1 2.98173+ 0 1.80000+ 1 2.58628+ 0 1.90000+ 1 2.11328+ 0 2.10000+ 1 1.16479+ 0 2.20000+ 1 1.11206+ 0 2.70000+ 1 1.00000+ 0 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.14528- 3 3.00000+ 0 7.22920- 3 5.00000+ 0 6.62538- 3 6.00000+ 0 6.26773- 3 8.00000+ 0 1.81272- 3 1.00000+ 1 1.64674- 3 1.10000+ 1 1.49908- 3 1.30000+ 1 1.20646- 3 1.40000+ 1 1.17638- 3 1.60000+ 1 3.25702- 4 1.80000+ 1 2.64472- 4 1.90000+ 1 2.36758- 4 2.10000+ 1 1.29599- 4 2.20000+ 1 1.27365- 4 2.70000+ 1 1.75606- 5 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.69190- 1 4.37991- 2 6.00000+ 0 4.82480- 1 4.45547- 2 1.00000+ 1 4.93490- 2 5.03066- 2 1.10000+ 1 9.54509- 2 5.04632- 2 1.30000+ 1 7.82680- 4 5.07810- 2 1.40000+ 1 1.02710- 3 5.08154- 2 1.80000+ 1 1.08290- 2 5.17440- 2 1.90000+ 1 2.09880- 2 5.17790- 2 2.10000+ 1 1.75640- 4 5.18994- 2 2.20000+ 1 2.29690- 4 5.19057- 2 2.90000+ 1 2.32380- 3 5.20278- 2 3.00000+ 1 4.80430- 3 5.20324- 2 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 5.63350- 3 3.47138- 2 3.00000+ 0 5.00000+ 0 7.35518- 3 3.51260- 2 3.00000+ 0 6.00000+ 0 6.71148- 3 3.58816- 2 3.00000+ 0 8.00000+ 0 2.14442- 3 4.14511- 2 3.00000+ 0 1.00000+ 1 1.51142- 3 4.16335- 2 3.00000+ 0 1.10000+ 1 1.42667- 3 4.17901- 2 3.00000+ 0 1.30000+ 1 1.05966- 4 4.21079- 2 3.00000+ 0 1.40000+ 1 1.00578- 4 4.21423- 2 3.00000+ 0 1.60000+ 1 5.02166- 4 4.29985- 2 3.00000+ 0 1.80000+ 1 3.40639- 4 4.30709- 2 3.00000+ 0 1.90000+ 1 3.18938- 4 4.31059- 2 3.00000+ 0 2.10000+ 1 2.35359- 5 4.32263- 2 3.00000+ 0 2.20000+ 1 2.20428- 5 4.32326- 2 3.00000+ 0 2.70000+ 1 8.16285- 5 4.33347- 2 3.00000+ 0 2.90000+ 1 4.45459- 5 4.33547- 2 3.00000+ 0 3.00000+ 1 3.98385- 5 4.33593- 2 3.00000+ 0 4.10000+ 1 6.42903- 6 4.33816- 2 5.00000+ 0 5.00000+ 0 6.75081- 4 3.55382- 2 5.00000+ 0 6.00000+ 0 1.33809- 2 3.62938- 2 5.00000+ 0 8.00000+ 0 1.17830- 3 4.18633- 2 5.00000+ 0 1.00000+ 1 2.45576- 4 4.20457- 2 5.00000+ 0 1.10000+ 1 2.36454- 3 4.22023- 2 5.00000+ 0 1.30000+ 1 1.18026- 4 4.25201- 2 5.00000+ 0 1.40000+ 1 3.65894- 4 4.25545- 2 5.00000+ 0 1.60000+ 1 2.65668- 4 4.34107- 2 5.00000+ 0 1.80000+ 1 5.39597- 5 4.34831- 2 5.00000+ 0 1.90000+ 1 5.08961- 4 4.35181- 2 5.00000+ 0 2.10000+ 1 2.54872- 5 4.36385- 2 5.00000+ 0 2.20000+ 1 7.88709- 5 4.36448- 2 5.00000+ 0 2.40000+ 1 3.44428- 7 4.37887- 2 5.00000+ 0 2.50000+ 1 2.29606- 7 4.37896- 2 5.00000+ 0 2.70000+ 1 4.28242- 5 4.37469- 2 5.00000+ 0 2.90000+ 1 7.00339- 6 4.37669- 2 5.00000+ 0 3.00000+ 1 6.30298- 5 4.37715- 2 5.00000+ 0 4.10000+ 1 3.32945- 6 4.37938- 2 6.00000+ 0 6.00000+ 0 6.31127- 3 3.70494- 2 6.00000+ 0 8.00000+ 0 1.02148- 3 4.26189- 2 6.00000+ 0 1.00000+ 1 2.25774- 3 4.28013- 2 6.00000+ 0 1.10000+ 1 2.29889- 3 4.29579- 2 6.00000+ 0 1.30000+ 1 4.24674- 4 4.32757- 2 6.00000+ 0 1.40000+ 1 3.76931- 4 4.33101- 2 6.00000+ 0 1.60000+ 1 2.27675- 4 4.41663- 2 6.00000+ 0 1.80000+ 1 4.89191- 4 4.42387- 2 6.00000+ 0 1.90000+ 1 4.98518- 4 4.42737- 2 6.00000+ 0 2.10000+ 1 9.21910- 5 4.43941- 2 6.00000+ 0 2.20000+ 1 8.15194- 5 4.44004- 2 6.00000+ 0 2.40000+ 1 6.88825- 7 4.45443- 2 6.00000+ 0 2.50000+ 1 3.44442- 7 4.45452- 2 6.00000+ 0 2.70000+ 1 3.66252- 5 4.45025- 2 6.00000+ 0 2.90000+ 1 6.36056- 5 4.45225- 2 6.00000+ 0 3.00000+ 1 6.17676- 5 4.45271- 2 6.00000+ 0 4.10000+ 1 2.87028- 6 4.45494- 2 8.00000+ 0 8.00000+ 0 2.00911- 4 4.81884- 2 8.00000+ 0 1.00000+ 1 2.43971- 4 4.83708- 2 8.00000+ 0 1.10000+ 1 2.19281- 4 4.85274- 2 8.00000+ 0 1.30000+ 1 1.56139- 5 4.88452- 2 8.00000+ 0 1.40000+ 1 1.41217- 5 4.88796- 2 8.00000+ 0 1.60000+ 1 9.37969- 5 4.97358- 2 8.00000+ 0 1.80000+ 1 5.51074- 5 4.98082- 2 8.00000+ 0 1.90000+ 1 4.91370- 5 4.98432- 2 8.00000+ 0 2.10000+ 1 3.44431- 6 4.99636- 2 8.00000+ 0 2.20000+ 1 3.09983- 6 4.99699- 2 8.00000+ 0 2.70000+ 1 1.52690- 5 5.00720- 2 8.00000+ 0 2.90000+ 1 7.23291- 6 5.00920- 2 8.00000+ 0 3.00000+ 1 6.08495- 6 5.00966- 2 8.00000+ 0 4.10000+ 1 1.14813- 6 5.01189- 2 1.00000+ 1 1.00000+ 1 2.15843- 5 4.85532- 2 1.00000+ 1 1.10000+ 1 4.07457- 4 4.87098- 2 1.00000+ 1 1.30000+ 1 1.61880- 5 4.90276- 2 1.00000+ 1 1.40000+ 1 4.75292- 5 4.90620- 2 1.00000+ 1 1.60000+ 1 5.51075- 5 4.99182- 2 1.00000+ 1 1.80000+ 1 9.41467- 6 4.99906- 2 1.00000+ 1 1.90000+ 1 8.80585- 5 5.00256- 2 1.00000+ 1 2.10000+ 1 3.55904- 6 5.01460- 2 1.00000+ 1 2.20000+ 1 1.03331- 5 5.01523- 2 1.00000+ 1 2.70000+ 1 8.84024- 6 5.02544- 2 1.00000+ 1 2.90000+ 1 1.26296- 6 5.02744- 2 1.00000+ 1 3.00000+ 1 1.09062- 5 5.02790- 2 1.00000+ 1 4.10000+ 1 6.88804- 7 5.03013- 2 1.10000+ 1 1.10000+ 1 2.10682- 4 4.88664- 2 1.10000+ 1 1.30000+ 1 6.13097- 5 4.91842- 2 1.10000+ 1 1.40000+ 1 5.29262- 5 4.92186- 2 1.10000+ 1 1.60000+ 1 4.90239- 5 5.00748- 2 1.10000+ 1 1.80000+ 1 8.86337- 5 5.01472- 2 1.10000+ 1 1.90000+ 1 9.15022- 5 5.01822- 2 1.10000+ 1 2.10000+ 1 1.34331- 5 5.03026- 2 1.10000+ 1 2.20000+ 1 1.14814- 5 5.03089- 2 1.10000+ 1 2.40000+ 1 1.14814- 7 5.04528- 2 1.10000+ 1 2.70000+ 1 7.92155- 6 5.04110- 2 1.10000+ 1 2.90000+ 1 1.14814- 5 5.04310- 2 1.10000+ 1 3.00000+ 1 1.13658- 5 5.04356- 2 1.10000+ 1 4.10000+ 1 5.74036- 7 5.04579- 2 1.30000+ 1 1.30000+ 1 1.15465- 7 4.95020- 2 1.30000+ 1 1.40000+ 1 7.50485- 6 4.95364- 2 1.30000+ 1 1.60000+ 1 3.46388- 6 5.03926- 2 1.30000+ 1 1.80000+ 1 3.34840- 6 5.04650- 2 1.30000+ 1 1.90000+ 1 1.27013- 5 5.05000- 2 1.30000+ 1 2.20000+ 1 1.61646- 6 5.06267- 2 1.30000+ 1 2.70000+ 1 5.77290- 7 5.07288- 2 1.30000+ 1 2.90000+ 1 4.61834- 7 5.07488- 2 1.30000+ 1 3.00000+ 1 1.61646- 6 5.07534- 2 1.40000+ 1 1.40000+ 1 1.72215- 6 4.95708- 2 1.40000+ 1 1.60000+ 1 3.09982- 6 5.04270- 2 1.40000+ 1 1.80000+ 1 9.75889- 6 5.04994- 2 1.40000+ 1 1.90000+ 1 1.09062- 5 5.05344- 2 1.40000+ 1 2.10000+ 1 1.60732- 6 5.06548- 2 1.40000+ 1 2.20000+ 1 6.88800- 7 5.06611- 2 1.40000+ 1 2.70000+ 1 4.59223- 7 5.07632- 2 1.40000+ 1 2.90000+ 1 1.26295- 6 5.07832- 2 1.40000+ 1 3.00000+ 1 1.37767- 6 5.07878- 2 1.60000+ 1 1.60000+ 1 1.09860- 5 5.12832- 2 1.60000+ 1 1.80000+ 1 1.24900- 5 5.13556- 2 1.60000+ 1 1.90000+ 1 1.11014- 5 5.13906- 2 1.60000+ 1 2.10000+ 1 8.09506- 7 5.15110- 2 1.60000+ 1 2.20000+ 1 6.93842- 7 5.15173- 2 1.60000+ 1 2.70000+ 1 3.58508- 6 5.16194- 2 1.60000+ 1 2.90000+ 1 1.61908- 6 5.16394- 2 1.60000+ 1 3.00000+ 1 1.38776- 6 5.16440- 2 1.60000+ 1 4.10000+ 1 2.31288- 7 5.16663- 2 1.80000+ 1 1.80000+ 1 1.02824- 6 5.14280- 2 1.80000+ 1 1.90000+ 1 1.90790- 5 5.14630- 2 1.80000+ 1 2.10000+ 1 6.85422- 7 5.15834- 2 1.80000+ 1 2.20000+ 1 2.05639- 6 5.15897- 2 1.80000+ 1 2.70000+ 1 1.94212- 6 5.16918- 2 1.80000+ 1 2.90000+ 1 2.28481- 7 5.17118- 2 1.80000+ 1 3.00000+ 1 2.39906- 6 5.17164- 2 1.80000+ 1 4.10000+ 1 1.14249- 7 5.17387- 2 1.90000+ 1 1.90000+ 1 9.87381- 6 5.14979- 2 1.90000+ 1 2.10000+ 1 2.75542- 6 5.16184- 2 1.90000+ 1 2.20000+ 1 2.41094- 6 5.16247- 2 1.90000+ 1 2.70000+ 1 1.72219- 6 5.17268- 2 1.90000+ 1 2.90000+ 1 2.52587- 6 5.17467- 2 1.90000+ 1 3.00000+ 1 2.41094- 6 5.17514- 2 1.90000+ 1 4.10000+ 1 1.14815- 7 5.17737- 2 2.10000+ 1 2.20000+ 1 3.44432- 7 5.17451- 2 2.10000+ 1 2.70000+ 1 1.14813- 7 5.18472- 2 2.10000+ 1 2.90000+ 1 1.14813- 7 5.18672- 2 2.10000+ 1 3.00000+ 1 3.44432- 7 5.18718- 2 2.20000+ 1 2.20000+ 1 1.19132- 7 5.17514- 2 2.20000+ 1 2.70000+ 1 1.19132- 7 5.18535- 2 2.20000+ 1 2.90000+ 1 2.38246- 7 5.18735- 2 2.20000+ 1 3.00000+ 1 3.57389- 7 5.18781- 2 2.70000+ 1 2.70000+ 1 4.25606- 7 5.19557- 2 2.70000+ 1 2.90000+ 1 2.83722- 7 5.19756- 2 2.70000+ 1 3.00000+ 1 2.83722- 7 5.19802- 2 2.90000+ 1 3.00000+ 1 3.44430- 7 5.20002- 2 3.00000+ 1 3.00000+ 1 1.14810- 7 5.20048- 2 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.92190- 5 4.12200- 4 6.00000+ 0 9.90679- 4 1.16780- 3 1.00000+ 1 2.51770- 2 6.91970- 3 1.10000+ 1 3.55210- 2 7.07630- 3 1.30000+ 1 5.55120- 4 7.39410- 3 1.40000+ 1 8.30699- 4 7.42850- 3 1.80000+ 1 5.96490- 3 8.35710- 3 1.90000+ 1 8.76939- 3 8.39206- 3 2.10000+ 1 7.52289- 5 8.51251- 3 2.20000+ 1 1.16020- 4 8.51881- 3 2.90000+ 1 8.17579- 4 8.64086- 3 3.00000+ 1 1.16360- 3 8.64551- 3 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 4.97912- 2 2.38100- 5 5.00000+ 0 1.80000+ 1 3.76816- 2 9.62000- 5 5.00000+ 0 1.90000+ 1 4.31422- 2 1.31160- 4 5.00000+ 0 2.10000+ 1 1.15507- 2 2.51610- 4 5.00000+ 0 2.20000+ 1 1.75580- 2 2.57910- 4 5.00000+ 0 2.40000+ 1 2.75456- 2 4.01810- 4 5.00000+ 0 2.50000+ 1 1.34191- 2 4.02670- 4 5.00000+ 0 2.70000+ 1 7.79855- 3 3.60030- 4 5.00000+ 0 2.90000+ 1 4.65860- 3 3.79960- 4 5.00000+ 0 3.00000+ 1 5.12735- 3 3.84610- 4 5.00000+ 0 4.10000+ 1 6.06871- 4 4.06910- 4 6.00000+ 0 1.60000+ 1 5.53219- 2 7.79410- 4 6.00000+ 0 1.80000+ 1 2.33841- 2 8.51800- 4 6.00000+ 0 1.90000+ 1 4.04701- 2 8.86760- 4 6.00000+ 0 2.10000+ 1 6.33774- 2 1.00721- 3 6.00000+ 0 2.20000+ 1 7.89093- 2 1.01351- 3 6.00000+ 0 2.40000+ 1 3.90181- 2 1.15741- 3 6.00000+ 0 2.50000+ 1 1.84400- 2 1.15827- 3 6.00000+ 0 2.70000+ 1 8.64777- 3 1.11563- 3 6.00000+ 0 2.90000+ 1 2.96551- 3 1.13556- 3 6.00000+ 0 3.00000+ 1 4.95219- 3 1.14021- 3 6.00000+ 0 4.10000+ 1 6.73324- 4 1.16251- 3 8.00000+ 0 8.00000+ 0 1.16100- 2 4.80150- 3 8.00000+ 0 1.00000+ 1 2.33675- 2 4.98390- 3 8.00000+ 0 1.10000+ 1 4.12563- 2 5.14050- 3 8.00000+ 0 1.30000+ 1 3.22199- 2 5.45830- 3 8.00000+ 0 1.40000+ 1 4.41745- 2 5.49270- 3 8.00000+ 0 1.60000+ 1 4.61640- 3 6.34891- 3 8.00000+ 0 1.80000+ 1 5.15901- 3 6.42130- 3 8.00000+ 0 1.90000+ 1 8.98979- 3 6.45626- 3 8.00000+ 0 2.10000+ 1 5.98414- 3 6.57671- 3 8.00000+ 0 2.20000+ 1 8.13739- 3 6.58301- 3 8.00000+ 0 2.40000+ 1 2.69919- 4 6.72691- 3 8.00000+ 0 2.50000+ 1 1.18343- 4 6.72777- 3 8.00000+ 0 2.70000+ 1 7.32196- 4 6.68513- 3 8.00000+ 0 2.90000+ 1 6.72156- 4 6.70506- 3 8.00000+ 0 3.00000+ 1 1.11522- 3 6.70971- 3 8.00000+ 0 4.10000+ 1 5.71284- 5 6.73201- 3 1.00000+ 1 1.00000+ 1 8.91929- 5 5.16630- 3 1.00000+ 1 1.10000+ 1 6.79147- 4 5.32290- 3 1.00000+ 1 1.30000+ 1 1.19092- 3 5.64070- 3 1.00000+ 1 1.40000+ 1 1.26933- 2 5.67510- 3 1.00000+ 1 1.60000+ 1 3.67847- 3 6.53131- 3 1.00000+ 1 1.80000+ 1 1.69059- 5 6.60370- 3 1.00000+ 1 1.90000+ 1 1.37573- 4 6.63866- 3 1.00000+ 1 2.10000+ 1 2.14540- 4 6.75911- 3 1.00000+ 1 2.20000+ 1 1.51447- 3 6.76541- 3 1.00000+ 1 2.40000+ 1 9.32731- 5 6.90931- 3 1.00000+ 1 2.50000+ 1 1.23589- 4 6.91017- 3 1.00000+ 1 2.70000+ 1 5.53811- 4 6.86753- 3 1.00000+ 1 2.90000+ 1 1.74890- 6 6.88746- 3 1.00000+ 1 3.00000+ 1 1.69059- 5 6.89211- 3 1.00000+ 1 4.10000+ 1 4.31394- 5 6.91441- 3 1.10000+ 1 1.10000+ 1 1.00330- 3 5.47950- 3 1.10000+ 1 1.30000+ 1 6.73781- 3 5.79730- 3 1.10000+ 1 1.40000+ 1 4.39427- 3 5.83170- 3 1.10000+ 1 1.60000+ 1 6.47256- 3 6.68791- 3 1.10000+ 1 1.80000+ 1 1.41666- 4 6.76030- 3 1.10000+ 1 1.90000+ 1 3.24123- 4 6.79526- 3 1.10000+ 1 2.10000+ 1 6.23764- 4 6.91571- 3 1.10000+ 1 2.20000+ 1 4.12164- 4 6.92201- 3 1.10000+ 1 2.40000+ 1 2.50088- 4 7.06591- 3 1.10000+ 1 2.50000+ 1 7.63682- 5 7.06677- 3 1.10000+ 1 2.70000+ 1 9.74128- 4 7.02413- 3 1.10000+ 1 2.90000+ 1 1.80719- 5 7.04406- 3 1.10000+ 1 3.00000+ 1 3.84761- 5 7.04871- 3 1.10000+ 1 4.10000+ 1 7.52020- 5 7.07101- 3 1.30000+ 1 1.30000+ 1 1.88241- 3 6.11510- 3 1.30000+ 1 1.40000+ 1 6.26777- 2 6.14950- 3 1.30000+ 1 1.60000+ 1 4.73438- 3 7.00571- 3 1.30000+ 1 1.80000+ 1 3.31718- 4 7.07810- 3 1.30000+ 1 1.90000+ 1 1.55189- 3 7.11306- 3 1.30000+ 1 2.10000+ 1 6.86162- 4 7.23351- 3 1.30000+ 1 2.20000+ 1 8.23213- 3 7.23981- 3 1.30000+ 1 2.40000+ 1 3.14813- 4 7.38371- 3 1.30000+ 1 2.50000+ 1 3.31142- 4 7.38457- 3 1.30000+ 1 2.70000+ 1 7.04826- 4 7.34193- 3 1.30000+ 1 2.90000+ 1 4.48883- 5 7.36186- 3 1.30000+ 1 3.00000+ 1 1.94132- 4 7.36651- 3 1.30000+ 1 4.10000+ 1 5.47990- 5 7.38881- 3 1.40000+ 1 1.40000+ 1 1.75861- 2 6.18390- 3 1.40000+ 1 1.60000+ 1 6.55194- 3 7.04011- 3 1.40000+ 1 1.80000+ 1 2.52424- 3 7.11250- 3 1.40000+ 1 1.90000+ 1 1.06270- 3 7.14746- 3 1.40000+ 1 2.10000+ 1 8.09795- 3 7.26791- 3 1.40000+ 1 2.20000+ 1 4.85830- 3 7.27421- 3 1.40000+ 1 2.40000+ 1 9.87565- 4 7.41811- 3 1.40000+ 1 2.50000+ 1 2.84496- 4 7.41897- 3 1.40000+ 1 2.70000+ 1 9.78268- 4 7.37633- 3 1.40000+ 1 2.90000+ 1 3.23550- 4 7.39626- 3 1.40000+ 1 3.00000+ 1 1.34078- 4 7.40091- 3 1.40000+ 1 4.10000+ 1 7.57867- 5 7.42321- 3 1.60000+ 1 1.60000+ 1 4.33743- 4 7.89632- 3 1.60000+ 1 1.80000+ 1 8.14405- 4 7.96871- 3 1.60000+ 1 1.90000+ 1 1.41424- 3 8.00367- 3 1.60000+ 1 2.10000+ 1 8.77943- 4 8.12412- 3 1.60000+ 1 2.20000+ 1 1.20094- 3 8.13042- 3 1.60000+ 1 2.40000+ 1 3.26462- 5 8.27432- 3 1.60000+ 1 2.50000+ 1 1.39920- 5 8.27518- 3 1.60000+ 1 2.70000+ 1 1.35827- 4 8.23254- 3 1.60000+ 1 2.90000+ 1 1.06099- 4 8.25247- 3 1.60000+ 1 3.00000+ 1 1.75468- 4 8.25712- 3 1.60000+ 1 4.10000+ 1 1.04926- 5 8.27942- 3 1.80000+ 1 1.80000+ 1 5.82976- 7 8.04110- 3 1.80000+ 1 1.90000+ 1 2.91478- 5 8.07606- 3 1.80000+ 1 2.10000+ 1 5.07182- 5 8.19651- 3 1.80000+ 1 2.20000+ 1 3.11890- 4 8.20281- 3 1.80000+ 1 2.40000+ 1 1.22428- 5 8.34671- 3 1.80000+ 1 2.50000+ 1 1.86552- 5 8.34757- 3 1.80000+ 1 2.70000+ 1 1.22428- 4 8.30493- 3 1.80000+ 1 3.00000+ 1 3.49771- 6 8.32951- 3 1.80000+ 1 4.10000+ 1 9.32738- 6 8.35181- 3 1.90000+ 1 1.90000+ 1 2.56508- 5 8.11102- 3 1.90000+ 1 2.10000+ 1 1.57402- 4 8.23147- 3 1.90000+ 1 2.20000+ 1 1.09596- 4 8.23777- 3 1.90000+ 1 2.40000+ 1 4.31400- 5 8.38167- 3 1.90000+ 1 2.50000+ 1 1.28249- 5 8.38253- 3 1.90000+ 1 2.70000+ 1 2.12785- 4 8.33989- 3 1.90000+ 1 2.90000+ 1 3.49774- 6 8.35982- 3 1.90000+ 1 3.00000+ 1 5.82981- 6 8.36447- 3 1.90000+ 1 4.10000+ 1 1.63241- 5 8.38677- 3 2.10000+ 1 2.10000+ 1 5.82982- 5 8.35192- 3 2.10000+ 1 2.20000+ 1 1.15194- 3 8.35822- 3 2.10000+ 1 2.40000+ 1 4.02239- 5 8.50212- 3 2.10000+ 1 2.50000+ 1 3.32294- 5 8.50298- 3 2.10000+ 1 2.70000+ 1 1.30583- 4 8.46034- 3 2.10000+ 1 2.90000+ 1 6.99571- 6 8.48027- 3 2.10000+ 1 3.00000+ 1 1.98215- 5 8.48492- 3 2.10000+ 1 4.10000+ 1 9.91072- 6 8.50722- 3 2.20000+ 1 2.20000+ 1 3.57351- 4 8.36452- 3 2.20000+ 1 2.40000+ 1 1.01431- 4 8.50842- 3 2.20000+ 1 2.50000+ 1 3.26462- 5 8.50928- 3 2.20000+ 1 2.70000+ 1 1.78974- 4 8.46664- 3 2.20000+ 1 2.90000+ 1 4.02237- 5 8.48657- 3 2.20000+ 1 3.00000+ 1 1.39920- 5 8.49122- 3 2.20000+ 1 4.10000+ 1 1.39920- 5 8.51352- 3 2.40000+ 1 2.40000+ 1 5.99102- 7 8.65232- 3 2.40000+ 1 2.50000+ 1 4.19363- 6 8.65318- 3 2.40000+ 1 2.70000+ 1 4.79290- 6 8.61054- 3 2.40000+ 1 2.90000+ 1 1.79729- 6 8.63047- 3 2.40000+ 1 3.00000+ 1 5.39196- 6 8.63512- 3 2.40000+ 1 4.10000+ 1 5.99102- 7 8.65742- 3 2.50000+ 1 2.50000+ 1 1.16597- 6 8.65404- 3 2.50000+ 1 2.70000+ 1 1.74890- 6 8.61140- 3 2.50000+ 1 2.90000+ 1 2.33183- 6 8.63133- 3 2.50000+ 1 3.00000+ 1 1.74890- 6 8.63598- 3 2.70000+ 1 2.70000+ 1 1.95371- 5 8.56876- 3 2.70000+ 1 2.90000+ 1 2.93077- 5 8.58869- 3 2.70000+ 1 3.00000+ 1 4.88486- 5 8.59334- 3 2.70000+ 1 4.10000+ 1 3.25646- 6 8.61564- 3 2.90000+ 1 3.00000+ 1 2.01821- 6 8.61327- 3 2.90000+ 1 4.10000+ 1 4.03649- 6 8.63557- 3 3.00000+ 1 3.00000+ 1 5.82971- 7 8.61792- 3 3.00000+ 1 4.10000+ 1 2.33183- 6 8.64022- 3 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 6.58278- 7 7.55600- 4 8.00000+ 0 5.30998- 3 6.32510- 3 1.10000+ 1 1.11840- 4 6.66410- 3 1.30000+ 1 1.51420- 1 6.98190- 3 1.60000+ 1 1.05700- 3 7.87251- 3 1.90000+ 1 2.46599- 5 7.97986- 3 2.10000+ 1 2.64439- 2 8.10031- 3 2.40000+ 1 2.40519- 5 8.25051- 3 2.70000+ 1 1.82079- 4 8.20873- 3 3.00000+ 1 5.55118- 6 8.23331- 3 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 8.62883- 3 3.67210- 4 6.00000+ 0 1.80000+ 1 4.71593- 2 4.39600- 4 6.00000+ 0 1.90000+ 1 1.52778- 2 4.74560- 4 6.00000+ 0 2.10000+ 1 5.75606- 2 5.95010- 4 6.00000+ 0 2.20000+ 1 2.06816- 2 6.01310- 4 6.00000+ 0 2.40000+ 1 1.28300- 3 7.45210- 4 6.00000+ 0 2.50000+ 1 7.33899- 4 7.46070- 4 6.00000+ 0 2.70000+ 1 1.27796- 3 7.03430- 4 6.00000+ 0 2.90000+ 1 5.77966- 3 7.23360- 4 6.00000+ 0 3.00000+ 1 1.87805- 3 7.28010- 4 6.00000+ 0 4.10000+ 1 9.89233- 5 7.50310- 4 8.00000+ 0 8.00000+ 0 8.51702- 4 4.38930- 3 8.00000+ 0 1.00000+ 1 2.34347- 2 4.57170- 3 8.00000+ 0 1.10000+ 1 2.27509- 3 4.72830- 3 8.00000+ 0 1.30000+ 1 2.38503- 3 5.04610- 3 8.00000+ 0 1.40000+ 1 2.85340- 3 5.08050- 3 8.00000+ 0 1.60000+ 1 3.11301- 4 5.93671- 3 8.00000+ 0 1.80000+ 1 3.47518- 3 6.00910- 3 8.00000+ 0 1.90000+ 1 4.40778- 4 6.04406- 3 8.00000+ 0 2.10000+ 1 3.17120- 4 6.16451- 3 8.00000+ 0 2.20000+ 1 3.22949- 4 6.17081- 3 8.00000+ 0 2.40000+ 1 6.98242- 5 6.31471- 3 8.00000+ 0 2.50000+ 1 1.67289- 5 6.31557- 3 8.00000+ 0 2.70000+ 1 4.80051- 5 6.27293- 3 8.00000+ 0 2.90000+ 1 4.22574- 4 6.29286- 3 8.00000+ 0 3.00000+ 1 5.38234- 5 6.29751- 3 8.00000+ 0 4.10000+ 1 3.63664- 6 6.31981- 3 1.00000+ 1 1.00000+ 1 2.36329- 2 4.75410- 3 1.00000+ 1 1.10000+ 1 6.91970- 2 4.91070- 3 1.00000+ 1 1.30000+ 1 3.69665- 2 5.22850- 3 1.00000+ 1 1.40000+ 1 5.96735- 2 5.26290- 3 1.00000+ 1 1.60000+ 1 5.60479- 3 6.11911- 3 1.00000+ 1 1.80000+ 1 8.86160- 3 6.19150- 3 1.00000+ 1 1.90000+ 1 1.48173- 2 6.22646- 3 1.00000+ 1 2.10000+ 1 6.85788- 3 6.34691- 3 1.00000+ 1 2.20000+ 1 1.10334- 2 6.35321- 3 1.00000+ 1 2.40000+ 1 3.01832- 4 6.49711- 3 1.00000+ 1 2.50000+ 1 1.06914- 4 6.49797- 3 1.00000+ 1 2.70000+ 1 9.14286- 4 6.45533- 3 1.00000+ 1 2.90000+ 1 1.12734- 3 6.47526- 3 1.00000+ 1 3.00000+ 1 1.83280- 3 6.47991- 3 1.00000+ 1 4.10000+ 1 7.12765- 5 6.50221- 3 1.10000+ 1 1.10000+ 1 1.75066- 3 5.06730- 3 1.10000+ 1 1.30000+ 1 4.06427- 2 5.38510- 3 1.10000+ 1 1.40000+ 1 5.57722- 3 5.41950- 3 1.10000+ 1 1.60000+ 1 4.62583- 4 6.27571- 3 1.10000+ 1 1.80000+ 1 1.06019- 2 6.34810- 3 1.10000+ 1 1.90000+ 1 6.34977- 4 6.38306- 3 1.10000+ 1 2.10000+ 1 6.37720- 3 6.50351- 3 1.10000+ 1 2.20000+ 1 8.26279- 4 6.50981- 3 1.10000+ 1 2.40000+ 1 1.73835- 4 6.65371- 3 1.10000+ 1 2.50000+ 1 3.63664- 5 6.65457- 3 1.10000+ 1 2.70000+ 1 7.34622- 5 6.61193- 3 1.10000+ 1 2.90000+ 1 1.29539- 3 6.63186- 3 1.10000+ 1 3.00000+ 1 7.63699- 5 6.63651- 3 1.10000+ 1 4.10000+ 1 5.81886- 6 6.65881- 3 1.30000+ 1 1.30000+ 1 3.76824- 2 5.70290- 3 1.30000+ 1 1.40000+ 1 1.57298- 1 5.73730- 3 1.30000+ 1 1.60000+ 1 5.76795- 4 6.59351- 3 1.30000+ 1 1.80000+ 1 5.60506- 3 6.66590- 3 1.30000+ 1 1.90000+ 1 8.14768- 3 6.70086- 3 1.30000+ 1 2.10000+ 1 1.17933- 2 6.82131- 3 1.30000+ 1 2.20000+ 1 2.64308- 2 6.82761- 3 1.30000+ 1 2.40000+ 1 1.20304- 3 6.97151- 3 1.30000+ 1 2.50000+ 1 9.25173- 4 6.97237- 3 1.30000+ 1 2.70000+ 1 9.45556- 5 6.92973- 3 1.30000+ 1 2.90000+ 1 6.88827- 4 6.94966- 3 1.30000+ 1 3.00000+ 1 9.96499- 4 6.95431- 3 1.30000+ 1 4.10000+ 1 7.27365- 6 6.97661- 3 1.40000+ 1 1.40000+ 1 7.54982- 3 5.77170- 3 1.40000+ 1 1.60000+ 1 5.62955- 4 6.62791- 3 1.40000+ 1 1.80000+ 1 8.01446- 3 6.70030- 3 1.40000+ 1 1.90000+ 1 1.02408- 3 6.73526- 3 1.40000+ 1 2.10000+ 1 2.04959- 2 6.85571- 3 1.40000+ 1 2.20000+ 1 2.30273- 3 6.86201- 3 1.40000+ 1 2.40000+ 1 4.88038- 4 7.00591- 3 1.40000+ 1 2.50000+ 1 7.12784- 5 7.00677- 3 1.40000+ 1 2.70000+ 1 8.87323- 5 6.96413- 3 1.40000+ 1 2.90000+ 1 9.56457- 4 6.98406- 3 1.40000+ 1 3.00000+ 1 1.22923- 4 6.98871- 3 1.40000+ 1 4.10000+ 1 6.54621- 6 7.01101- 3 1.60000+ 1 1.60000+ 1 2.76386- 5 7.48412- 3 1.60000+ 1 1.80000+ 1 8.34994- 4 7.55651- 3 1.60000+ 1 1.90000+ 1 9.01921- 5 7.59147- 3 1.60000+ 1 2.10000+ 1 7.41894- 5 7.71192- 3 1.60000+ 1 2.20000+ 1 6.47353- 5 7.71822- 3 1.60000+ 1 2.40000+ 1 1.45475- 5 7.86212- 3 1.60000+ 1 2.50000+ 1 2.90929- 6 7.86298- 3 1.60000+ 1 2.70000+ 1 8.72825- 6 7.82034- 3 1.60000+ 1 2.90000+ 1 1.01824- 4 7.84027- 3 1.60000+ 1 3.00000+ 1 1.09106- 5 7.84492- 3 1.60000+ 1 4.10000+ 1 7.27351- 7 7.86722- 3 1.80000+ 1 1.80000+ 1 7.87931- 4 7.62890- 3 1.80000+ 1 1.90000+ 1 2.26178- 3 7.66386- 3 1.80000+ 1 2.10000+ 1 1.01826- 3 7.78431- 3 1.80000+ 1 2.20000+ 1 1.48754- 3 7.79061- 3 1.80000+ 1 2.40000+ 1 3.69337- 5 7.93451- 3 1.80000+ 1 2.50000+ 1 1.08636- 5 7.93537- 3 1.80000+ 1 2.70000+ 1 1.35428- 4 7.89273- 3 1.80000+ 1 2.90000+ 1 1.99155- 4 7.91266- 3 1.80000+ 1 3.00000+ 1 2.79531- 4 7.91731- 3 1.80000+ 1 4.10000+ 1 1.08636- 5 7.93961- 3 1.90000+ 1 1.90000+ 1 5.85276- 5 7.69882- 3 1.90000+ 1 2.10000+ 1 1.29777- 3 7.81927- 3 1.90000+ 1 2.20000+ 1 1.56558- 4 7.82557- 3 1.90000+ 1 2.40000+ 1 2.85309- 5 7.96947- 3 1.90000+ 1 2.50000+ 1 5.85276- 6 7.97033- 3 1.90000+ 1 2.70000+ 1 1.46323- 5 7.92769- 3 1.90000+ 1 2.90000+ 1 2.79456- 4 7.94762- 3 1.90000+ 1 3.00000+ 1 1.38998- 5 7.95227- 3 1.90000+ 1 4.10000+ 1 1.46323- 6 7.97457- 3 2.10000+ 1 2.10000+ 1 9.11386- 4 7.93972- 3 2.10000+ 1 2.20000+ 1 3.57194- 3 7.94602- 3 2.10000+ 1 2.40000+ 1 1.30196- 4 8.08992- 3 2.10000+ 1 2.50000+ 1 1.01824- 4 8.09078- 3 2.10000+ 1 2.70000+ 1 1.23650- 5 8.04814- 3 2.10000+ 1 2.90000+ 1 1.25103- 4 8.06807- 3 2.10000+ 1 3.00000+ 1 1.57841- 4 8.07272- 3 2.10000+ 1 4.10000+ 1 7.27356- 7 8.09502- 3 2.20000+ 1 2.20000+ 1 2.48342- 4 7.95232- 3 2.20000+ 1 2.40000+ 1 7.97159- 5 8.09622- 3 2.20000+ 1 2.50000+ 1 1.22642- 5 8.09708- 3 2.20000+ 1 2.70000+ 1 1.43074- 5 8.05444- 3 2.20000+ 1 2.90000+ 1 2.50395- 4 8.07437- 3 2.20000+ 1 3.00000+ 1 2.65715- 5 8.07902- 3 2.20000+ 1 4.10000+ 1 1.02202- 6 8.10132- 3 2.40000+ 1 2.40000+ 1 1.83311- 6 8.24012- 3 2.40000+ 1 2.50000+ 1 5.49891- 6 8.24098- 3 2.40000+ 1 2.70000+ 1 2.74952- 6 8.19834- 3 2.40000+ 1 2.90000+ 1 5.49891- 6 8.21827- 3 2.40000+ 1 3.00000+ 1 4.58248- 6 8.22292- 3 2.50000+ 1 2.70000+ 1 6.62587- 7 8.19920- 3 2.50000+ 1 2.90000+ 1 1.32522- 6 8.21913- 3 2.50000+ 1 3.00000+ 1 6.62587- 7 8.22378- 3 2.70000+ 1 2.70000+ 1 1.29254- 6 8.15656- 3 2.70000+ 1 2.90000+ 1 2.97282- 5 8.17649- 3 2.70000+ 1 3.00000+ 1 2.58516- 6 8.18114- 3 2.90000+ 1 2.90000+ 1 2.45576- 5 8.19642- 3 2.90000+ 1 3.00000+ 1 6.78939- 5 8.20107- 3 2.90000+ 1 4.10000+ 1 2.88923- 6 8.22337- 3 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 9.82757- 3 5.56950- 3 1.00000+ 1 6.79308- 5 5.75190- 3 1.10000+ 1 6.21268- 5 5.90850- 3 1.30000+ 1 1.40340- 2 6.22630- 3 1.40000+ 1 1.24080- 1 6.26070- 3 1.60000+ 1 1.35840- 3 7.11691- 3 1.80000+ 1 1.09840- 5 7.18930- 3 1.90000+ 1 1.06350- 5 7.22426- 3 2.10000+ 1 2.34109- 3 7.34471- 3 2.20000+ 1 2.09389- 2 7.35101- 3 2.40000+ 1 3.43259- 6 7.49491- 3 2.50000+ 1 1.96549- 5 7.49577- 3 2.70000+ 1 2.53639- 4 7.45313- 3 2.90000+ 1 2.52739- 6 7.47306- 3 3.00000+ 1 2.16629- 6 7.47771- 3 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.13211- 3 3.63370- 3 8.00000+ 0 1.00000+ 1 7.11543- 4 3.81610- 3 8.00000+ 0 1.10000+ 1 2.60454- 2 3.97270- 3 8.00000+ 0 1.30000+ 1 2.70068- 3 4.29050- 3 8.00000+ 0 1.40000+ 1 3.41890- 3 4.32490- 3 8.00000+ 0 1.60000+ 1 4.15248- 4 5.18111- 3 8.00000+ 0 1.80000+ 1 1.25030- 4 5.25350- 3 8.00000+ 0 1.90000+ 1 3.82441- 3 5.28846- 3 8.00000+ 0 2.10000+ 1 2.50061- 4 5.40891- 3 8.00000+ 0 2.20000+ 1 2.84911- 4 5.41521- 3 8.00000+ 0 2.40000+ 1 9.85112- 5 5.55911- 3 8.00000+ 0 2.50000+ 1 6.74430- 5 5.55997- 3 8.00000+ 0 2.70000+ 1 6.44098- 5 5.51733- 3 8.00000+ 0 2.90000+ 1 1.59131- 5 5.53726- 3 8.00000+ 0 3.00000+ 1 4.44041- 4 5.54191- 3 8.00000+ 0 4.10000+ 1 5.30422- 6 5.56421- 3 1.00000+ 1 1.00000+ 1 1.90202- 4 3.99850- 3 1.00000+ 1 1.10000+ 1 4.36079- 2 4.15510- 3 1.00000+ 1 1.30000+ 1 2.57646- 3 4.47290- 3 1.00000+ 1 1.40000+ 1 2.30369- 2 4.50730- 3 1.00000+ 1 1.60000+ 1 1.40945- 4 5.36351- 3 1.00000+ 1 1.80000+ 1 6.97164- 5 5.43590- 3 1.00000+ 1 1.90000+ 1 6.64579- 3 5.47086- 3 1.00000+ 1 2.10000+ 1 4.38758- 4 5.59131- 3 1.00000+ 1 2.20000+ 1 3.32067- 3 5.59761- 3 1.00000+ 1 2.40000+ 1 1.08360- 4 5.74151- 3 1.00000+ 1 2.50000+ 1 1.07612- 4 5.74237- 3 1.00000+ 1 2.70000+ 1 2.19753- 5 5.69973- 3 1.00000+ 1 2.90000+ 1 9.09305- 6 5.71966- 3 1.00000+ 1 3.00000+ 1 7.75972- 4 5.72431- 3 1.00000+ 1 4.10000+ 1 1.51550- 6 5.74661- 3 1.10000+ 1 1.10000+ 1 5.90985- 2 4.31170- 3 1.10000+ 1 1.30000+ 1 6.10223- 2 4.62950- 3 1.10000+ 1 1.40000+ 1 8.88784- 2 4.66390- 3 1.10000+ 1 1.60000+ 1 6.15157- 3 5.52011- 3 1.10000+ 1 1.80000+ 1 9.17061- 3 5.59250- 3 1.10000+ 1 1.90000+ 1 2.15736- 2 5.62746- 3 1.10000+ 1 2.10000+ 1 1.08216- 2 5.74791- 3 1.10000+ 1 2.20000+ 1 1.55075- 2 5.75421- 3 1.10000+ 1 2.40000+ 1 4.88005- 4 5.89811- 3 1.10000+ 1 2.50000+ 1 2.35662- 4 5.89897- 3 1.10000+ 1 2.70000+ 1 1.00098- 3 5.85633- 3 1.10000+ 1 2.90000+ 1 1.18589- 3 5.87626- 3 1.10000+ 1 3.00000+ 1 2.60664- 3 5.88091- 3 1.10000+ 1 4.10000+ 1 7.80495- 5 5.90321- 3 1.30000+ 1 1.30000+ 1 8.82027- 3 4.94730- 3 1.30000+ 1 1.40000+ 1 1.67433- 1 4.98170- 3 1.30000+ 1 1.60000+ 1 6.06980- 4 5.83791- 3 1.30000+ 1 1.80000+ 1 5.44823- 4 5.91030- 3 1.30000+ 1 1.90000+ 1 8.60857- 3 5.94526- 3 1.30000+ 1 2.10000+ 1 2.72872- 3 6.06571- 3 1.30000+ 1 2.20000+ 1 2.18975- 2 6.07201- 3 1.30000+ 1 2.40000+ 1 2.76582- 4 6.21591- 3 1.30000+ 1 2.50000+ 1 3.55400- 4 6.21677- 3 1.30000+ 1 2.70000+ 1 9.77518- 5 6.17413- 3 1.30000+ 1 2.90000+ 1 7.04735- 5 6.19406- 3 1.30000+ 1 3.00000+ 1 9.91904- 4 6.19871- 3 1.30000+ 1 4.10000+ 1 7.57783- 6 6.22101- 3 1.40000+ 1 1.40000+ 1 1.12866- 1 5.01610- 3 1.40000+ 1 1.60000+ 1 8.08527- 4 5.87231- 3 1.40000+ 1 1.80000+ 1 4.47007- 3 5.94470- 3 1.40000+ 1 1.90000+ 1 1.41194- 2 5.97966- 3 1.40000+ 1 2.10000+ 1 2.61947- 2 6.10011- 3 1.40000+ 1 2.20000+ 1 3.33363- 2 6.10641- 3 1.40000+ 1 2.40000+ 1 2.94996- 3 6.25031- 3 1.40000+ 1 2.50000+ 1 1.01392- 3 6.25117- 3 1.40000+ 1 2.70000+ 1 1.31853- 4 6.20853- 3 1.40000+ 1 2.90000+ 1 5.69822- 4 6.22846- 3 1.40000+ 1 3.00000+ 1 1.66863- 3 6.23311- 3 1.40000+ 1 4.10000+ 1 1.06083- 5 6.25541- 3 1.60000+ 1 1.60000+ 1 3.78865- 5 6.72852- 3 1.60000+ 1 1.80000+ 1 2.57638- 5 6.80091- 3 1.60000+ 1 1.90000+ 1 9.05557- 4 6.83587- 3 1.60000+ 1 2.10000+ 1 6.13786- 5 6.95632- 3 1.60000+ 1 2.20000+ 1 7.35003- 5 6.96262- 3 1.60000+ 1 2.40000+ 1 1.43973- 5 7.10652- 3 1.60000+ 1 2.50000+ 1 1.13664- 5 7.10738- 3 1.60000+ 1 2.70000+ 1 1.21237- 5 7.06474- 3 1.60000+ 1 2.90000+ 1 3.03092- 6 7.08467- 3 1.60000+ 1 3.00000+ 1 1.05334- 4 7.08932- 3 1.60000+ 1 4.10000+ 1 7.57761- 7 7.11162- 3 1.80000+ 1 1.80000+ 1 5.30426- 6 6.87330- 3 1.80000+ 1 1.90000+ 1 1.39357- 3 6.90826- 3 1.80000+ 1 2.10000+ 1 9.01781- 5 7.02871- 3 1.80000+ 1 2.20000+ 1 6.69865- 4 7.03501- 3 1.80000+ 1 2.40000+ 1 1.51550- 5 7.17891- 3 1.80000+ 1 2.50000+ 1 1.43977- 5 7.17977- 3 1.80000+ 1 2.70000+ 1 3.78876- 6 7.13713- 3 1.80000+ 1 2.90000+ 1 1.51550- 6 7.15706- 3 1.80000+ 1 3.00000+ 1 1.62924- 4 7.16171- 3 1.90000+ 1 1.90000+ 1 1.80250- 3 6.94322- 3 1.90000+ 1 2.10000+ 1 1.45310- 3 7.06367- 3 1.90000+ 1 2.20000+ 1 2.30817- 3 7.06997- 3 1.90000+ 1 2.40000+ 1 5.40316- 5 7.21387- 3 1.90000+ 1 2.50000+ 1 2.73763- 5 7.21473- 3 1.90000+ 1 2.70000+ 1 1.39765- 4 7.17209- 3 1.90000+ 1 2.90000+ 1 1.71455- 4 7.19202- 3 1.90000+ 1 3.00000+ 1 4.32980- 4 7.19667- 3 1.90000+ 1 4.10000+ 1 1.08064- 5 7.21897- 3 2.10000+ 1 2.10000+ 1 2.04598- 4 7.18412- 3 2.10000+ 1 2.20000+ 1 3.54863- 3 7.19042- 3 2.10000+ 1 2.40000+ 1 2.95527- 5 7.33432- 3 2.10000+ 1 2.50000+ 1 3.63730- 5 7.33518- 3 2.10000+ 1 2.70000+ 1 9.85117- 6 7.29254- 3 2.10000+ 1 2.90000+ 1 1.13667- 5 7.31247- 3 2.10000+ 1 3.00000+ 1 1.76563- 4 7.31712- 3 2.10000+ 1 4.10000+ 1 7.57780- 7 7.33942- 3 2.20000+ 1 2.20000+ 1 2.78866- 3 7.19672- 3 2.20000+ 1 2.40000+ 1 3.47837- 4 7.34062- 3 2.20000+ 1 2.50000+ 1 1.17933- 4 7.34148- 3 2.20000+ 1 2.70000+ 1 1.36736- 5 7.29884- 3 2.20000+ 1 2.90000+ 1 9.65750- 5 7.31877- 3 2.20000+ 1 3.00000+ 1 3.23060- 4 7.32342- 3 2.20000+ 1 4.10000+ 1 8.54634- 7 7.34572- 3 2.40000+ 1 2.40000+ 1 9.80822- 7 7.48452- 3 2.40000+ 1 2.50000+ 1 8.82743- 6 7.48538- 3 2.40000+ 1 2.70000+ 1 2.94248- 6 7.44274- 3 2.40000+ 1 2.90000+ 1 1.96156- 6 7.46267- 3 2.40000+ 1 3.00000+ 1 7.84665- 6 7.46732- 3 2.50000+ 1 2.50000+ 1 2.27334- 6 7.48624- 3 2.50000+ 1 2.70000+ 1 1.51548- 6 7.44360- 3 2.50000+ 1 2.90000+ 1 1.51548- 6 7.46353- 3 2.50000+ 1 3.00000+ 1 3.03097- 6 7.46818- 3 2.70000+ 1 2.70000+ 1 1.26561- 6 7.40096- 3 2.70000+ 1 2.90000+ 1 1.26561- 6 7.42089- 3 2.70000+ 1 3.00000+ 1 2.91087- 5 7.42554- 3 2.90000+ 1 3.00000+ 1 5.17429- 5 7.44547- 3 3.00000+ 1 3.00000+ 1 9.92747- 5 7.45012- 3 3.00000+ 1 4.10000+ 1 5.51503- 6 7.47242- 3 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 9.87481- 6 1.82400- 4 1.10000+ 1 1.28752- 4 3.39000- 4 1.80000+ 1 4.78639- 4 1.61980- 3 1.90000+ 1 5.49127- 4 1.65476- 3 2.90000+ 1 1.09361- 4 1.90356- 3 3.00000+ 1 1.18181- 4 1.90821- 3 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 7.04261- 2 2.18100- 5 1.00000+ 1 2.20000+ 1 1.01872- 1 2.81100- 5 1.00000+ 1 2.40000+ 1 2.65901- 2 1.72010- 4 1.00000+ 1 2.50000+ 1 3.55163- 2 1.72870- 4 1.00000+ 1 2.70000+ 1 8.38188- 3 1.30230- 4 1.00000+ 1 2.90000+ 1 6.99757- 3 1.50160- 4 1.00000+ 1 3.00000+ 1 1.06105- 2 1.54810- 4 1.00000+ 1 4.10000+ 1 6.45993- 4 1.77110- 4 1.10000+ 1 1.80000+ 1 6.96257- 2 2.30000- 5 1.10000+ 1 1.90000+ 1 9.52460- 2 5.79600- 5 1.10000+ 1 2.10000+ 1 4.17246- 2 1.78410- 4 1.10000+ 1 2.20000+ 1 5.99159- 2 1.84710- 4 1.10000+ 1 2.40000+ 1 7.56162- 2 3.28610- 4 1.10000+ 1 2.50000+ 1 9.46970- 2 3.29470- 4 1.10000+ 1 2.70000+ 1 1.00783- 2 2.86830- 4 1.10000+ 1 2.90000+ 1 8.47426- 3 3.06760- 4 1.10000+ 1 3.00000+ 1 1.13837- 2 3.11410- 4 1.10000+ 1 4.10000+ 1 7.78169- 4 3.33710- 4 1.30000+ 1 1.60000+ 1 2.60132- 2 2.68410- 4 1.30000+ 1 1.80000+ 1 5.75682- 3 3.40800- 4 1.30000+ 1 1.90000+ 1 5.09281- 3 3.75760- 4 1.30000+ 1 2.10000+ 1 8.39535- 3 4.96210- 4 1.30000+ 1 2.20000+ 1 1.05398- 2 5.02510- 4 1.30000+ 1 2.40000+ 1 3.81720- 3 6.46410- 4 1.30000+ 1 2.50000+ 1 3.62551- 3 6.47270- 4 1.30000+ 1 2.70000+ 1 2.84167- 3 6.04630- 4 1.30000+ 1 2.90000+ 1 5.87787- 4 6.24560- 4 1.30000+ 1 3.00000+ 1 4.88354- 4 6.29210- 4 1.30000+ 1 4.10000+ 1 2.11548- 4 6.51510- 4 1.40000+ 1 1.60000+ 1 3.75084- 2 3.02810- 4 1.40000+ 1 1.80000+ 1 1.21113- 3 3.75200- 4 1.40000+ 1 1.90000+ 1 1.10459- 2 4.10160- 4 1.40000+ 1 2.10000+ 1 1.13725- 2 5.30610- 4 1.40000+ 1 2.20000+ 1 1.71118- 2 5.36910- 4 1.40000+ 1 2.40000+ 1 4.40618- 3 6.80810- 4 1.40000+ 1 2.50000+ 1 6.81402- 3 6.81670- 4 1.40000+ 1 2.70000+ 1 4.05474- 3 6.39030- 4 1.40000+ 1 2.90000+ 1 1.23467- 4 6.58960- 4 1.40000+ 1 3.00000+ 1 1.05798- 3 6.63610- 4 1.40000+ 1 4.10000+ 1 3.01918- 4 6.85910- 4 1.60000+ 1 1.60000+ 1 4.86578- 3 1.15902- 3 1.60000+ 1 1.80000+ 1 8.18277- 3 1.23141- 3 1.60000+ 1 1.90000+ 1 1.45265- 2 1.26637- 3 1.60000+ 1 2.10000+ 1 1.57130- 2 1.38682- 3 1.60000+ 1 2.20000+ 1 2.26185- 2 1.39312- 3 1.60000+ 1 2.40000+ 1 4.54556- 3 1.53702- 3 1.60000+ 1 2.50000+ 1 5.74753- 3 1.53788- 3 1.60000+ 1 2.70000+ 1 1.31279- 3 1.49524- 3 1.60000+ 1 2.90000+ 1 1.06195- 3 1.51517- 3 1.60000+ 1 3.00000+ 1 1.79474- 3 1.51982- 3 1.60000+ 1 4.10000+ 1 1.00916- 4 1.54212- 3 1.80000+ 1 1.80000+ 1 4.06653- 4 1.30380- 3 1.80000+ 1 1.90000+ 1 1.04482- 3 1.33876- 3 1.80000+ 1 2.10000+ 1 6.08332- 4 1.45921- 3 1.80000+ 1 2.20000+ 1 3.16772- 4 1.46551- 3 1.80000+ 1 2.40000+ 1 7.10003- 5 1.60941- 3 1.80000+ 1 2.50000+ 1 3.11285- 4 1.61027- 3 1.80000+ 1 2.70000+ 1 8.60823- 4 1.56763- 3 1.80000+ 1 2.90000+ 1 8.36019- 5 1.58756- 3 1.80000+ 1 3.00000+ 1 1.00830- 4 1.59221- 3 1.80000+ 1 4.10000+ 1 6.42782- 5 1.61451- 3 1.90000+ 1 1.90000+ 1 1.36616- 3 1.37372- 3 1.90000+ 1 2.10000+ 1 8.61256- 4 1.49417- 3 1.90000+ 1 2.20000+ 1 2.12338- 3 1.50047- 3 1.90000+ 1 2.40000+ 1 3.24860- 4 1.64437- 3 1.90000+ 1 2.50000+ 1 6.06481- 4 1.64523- 3 1.90000+ 1 2.70000+ 1 1.53196- 3 1.60259- 3 1.90000+ 1 2.90000+ 1 1.14163- 4 1.62252- 3 1.90000+ 1 3.00000+ 1 2.84578- 4 1.62717- 3 1.90000+ 1 4.10000+ 1 1.14163- 4 1.64947- 3 2.10000+ 1 2.10000+ 1 1.80246- 4 1.61462- 3 2.10000+ 1 2.20000+ 1 8.59809- 4 1.62092- 3 2.10000+ 1 2.40000+ 1 3.04427- 4 1.76482- 3 2.10000+ 1 2.50000+ 1 2.27706- 3 1.76568- 3 2.10000+ 1 2.70000+ 1 1.62217- 3 1.72304- 3 2.10000+ 1 2.90000+ 1 5.68743- 5 1.74297- 3 2.10000+ 1 3.00000+ 1 8.44773- 5 1.74762- 3 2.10000+ 1 4.10000+ 1 1.20440- 4 1.76992- 3 2.20000+ 1 2.20000+ 1 4.84766- 4 1.62722- 3 2.20000+ 1 2.40000+ 1 2.28117- 3 1.77112- 3 2.20000+ 1 2.50000+ 1 1.29190- 3 1.77198- 3 2.20000+ 1 2.70000+ 1 2.34039- 3 1.72934- 3 2.20000+ 1 2.90000+ 1 3.10582- 5 1.74927- 3 2.20000+ 1 3.00000+ 1 2.07756- 4 1.75392- 3 2.20000+ 1 4.10000+ 1 1.73760- 4 1.77622- 3 2.40000+ 1 2.40000+ 1 1.51520- 4 1.91502- 3 2.40000+ 1 2.50000+ 1 1.30071- 3 1.91588- 3 2.40000+ 1 2.70000+ 1 4.35236- 4 1.87324- 3 2.40000+ 1 2.90000+ 1 6.71555- 6 1.89317- 3 2.40000+ 1 3.00000+ 1 2.81217- 5 1.89782- 3 2.40000+ 1 4.10000+ 1 3.18977- 5 1.92012- 3 2.50000+ 1 2.50000+ 1 3.93674- 4 1.91674- 3 2.50000+ 1 2.70000+ 1 5.62993- 4 1.87410- 3 2.50000+ 1 2.90000+ 1 3.78166- 5 1.89403- 3 2.50000+ 1 3.00000+ 1 5.28613- 5 1.89868- 3 2.50000+ 1 4.10000+ 1 4.12545- 5 1.92098- 3 2.70000+ 1 2.70000+ 1 1.10962- 4 1.83146- 3 2.70000+ 1 2.90000+ 1 1.51932- 4 1.85139- 3 2.70000+ 1 3.00000+ 1 2.56634- 4 1.85604- 3 2.70000+ 1 4.10000+ 1 1.70711- 5 1.87834- 3 2.90000+ 1 2.90000+ 1 6.25134- 6 1.87132- 3 2.90000+ 1 3.00000+ 1 1.62533- 5 1.87597- 3 2.90000+ 1 4.10000+ 1 1.25023- 5 1.89827- 3 3.00000+ 1 3.00000+ 1 2.61370- 5 1.88062- 3 3.00000+ 1 4.10000+ 1 2.61370- 5 1.90292- 3 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 5.20470- 4 4.74400- 4 1.60000+ 1 4.41000- 4 1.36501- 3 2.10000+ 1 2.18450- 3 1.59281- 3 2.70000+ 1 7.98119- 5 1.70123- 3 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.15983- 2 0.00000+ 0 1.10000+ 1 2.20000+ 1 2.86320- 2 2.31000- 6 1.10000+ 1 2.40000+ 1 1.96362- 2 1.46210- 4 1.10000+ 1 2.50000+ 1 2.16280- 2 1.47070- 4 1.10000+ 1 2.70000+ 1 4.75148- 3 1.04430- 4 1.10000+ 1 2.90000+ 1 4.81965- 3 1.24360- 4 1.10000+ 1 3.00000+ 1 4.87462- 3 1.29010- 4 1.10000+ 1 4.10000+ 1 3.49759- 4 1.51310- 4 1.30000+ 1 1.60000+ 1 7.62711- 2 8.60100- 5 1.30000+ 1 1.80000+ 1 7.62155- 2 1.58400- 4 1.30000+ 1 1.90000+ 1 9.81543- 2 1.93360- 4 1.30000+ 1 2.10000+ 1 3.29606- 2 3.13810- 4 1.30000+ 1 2.20000+ 1 3.76275- 2 3.20110- 4 1.30000+ 1 2.40000+ 1 9.33290- 2 4.64010- 4 1.30000+ 1 2.50000+ 1 1.40276- 1 4.64870- 4 1.30000+ 1 2.70000+ 1 1.23470- 2 4.22230- 4 1.30000+ 1 2.90000+ 1 8.57852- 3 4.42160- 4 1.30000+ 1 3.00000+ 1 1.16215- 2 4.46810- 4 1.30000+ 1 4.10000+ 1 9.58669- 4 4.69110- 4 1.40000+ 1 1.60000+ 1 1.28277- 2 1.20410- 4 1.40000+ 1 1.80000+ 1 8.80252- 2 1.92800- 4 1.40000+ 1 1.90000+ 1 8.47556- 3 2.27760- 4 1.40000+ 1 2.10000+ 1 1.42159- 3 3.48210- 4 1.40000+ 1 2.20000+ 1 4.33642- 3 3.54510- 4 1.40000+ 1 2.40000+ 1 2.86372- 3 4.98410- 4 1.40000+ 1 2.50000+ 1 2.29803- 3 4.99270- 4 1.40000+ 1 2.70000+ 1 1.38061- 3 4.56630- 4 1.40000+ 1 2.90000+ 1 8.03020- 3 4.76560- 4 1.40000+ 1 3.00000+ 1 9.17601- 4 4.81210- 4 1.40000+ 1 4.10000+ 1 1.03265- 4 5.03510- 4 1.60000+ 1 1.60000+ 1 8.54570- 4 9.76620- 4 1.60000+ 1 1.80000+ 1 1.18611- 2 1.04901- 3 1.60000+ 1 1.90000+ 1 1.86595- 3 1.08397- 3 1.60000+ 1 2.10000+ 1 3.87933- 4 1.20442- 3 1.60000+ 1 2.20000+ 1 1.36311- 3 1.21072- 3 1.60000+ 1 2.40000+ 1 4.95218- 5 1.35462- 3 1.60000+ 1 2.50000+ 1 4.24750- 4 1.35548- 3 1.60000+ 1 2.70000+ 1 2.17760- 4 1.31284- 3 1.60000+ 1 2.90000+ 1 1.04058- 3 1.33277- 3 1.60000+ 1 3.00000+ 1 2.08240- 4 1.33742- 3 1.60000+ 1 4.10000+ 1 1.65072- 5 1.35972- 3 1.80000+ 1 1.80000+ 1 8.97786- 3 1.12140- 3 1.80000+ 1 1.90000+ 1 2.69997- 2 1.15636- 3 1.80000+ 1 2.10000+ 1 2.53329- 2 1.27681- 3 1.80000+ 1 2.20000+ 1 4.15666- 2 1.28311- 3 1.80000+ 1 2.40000+ 1 6.09198- 3 1.42701- 3 1.80000+ 1 2.50000+ 1 1.04981- 2 1.42787- 3 1.80000+ 1 2.70000+ 1 1.95362- 3 1.38523- 3 1.80000+ 1 2.90000+ 1 1.97699- 3 1.40516- 3 1.80000+ 1 3.00000+ 1 3.30967- 3 1.40981- 3 1.80000+ 1 4.10000+ 1 1.52474- 4 1.43211- 3 1.90000+ 1 1.90000+ 1 7.80751- 4 1.19132- 3 1.90000+ 1 2.10000+ 1 2.22644- 3 1.31177- 3 1.90000+ 1 2.20000+ 1 1.75313- 3 1.31807- 3 1.90000+ 1 2.40000+ 1 4.61942- 3 1.46197- 3 1.90000+ 1 2.50000+ 1 1.31906- 3 1.46283- 3 1.90000+ 1 2.70000+ 1 2.14664- 4 1.42019- 3 1.90000+ 1 2.90000+ 1 2.52644- 3 1.44012- 3 1.90000+ 1 3.00000+ 1 1.61837- 4 1.44477- 3 1.90000+ 1 4.10000+ 1 1.62516- 5 1.46707- 3 2.10000+ 1 2.10000+ 1 8.59707- 4 1.43222- 3 2.10000+ 1 2.20000+ 1 2.51200- 3 1.43852- 3 2.10000+ 1 2.40000+ 1 5.65726- 4 1.58242- 3 2.10000+ 1 2.50000+ 1 1.04149- 3 1.58328- 3 2.10000+ 1 2.70000+ 1 5.84080- 5 1.54064- 3 2.10000+ 1 2.90000+ 1 2.25152- 3 1.56057- 3 2.10000+ 1 3.00000+ 1 2.25746- 4 1.56522- 3 2.10000+ 1 4.10000+ 1 4.59369- 6 1.58752- 3 2.20000+ 1 2.20000+ 1 5.88321- 4 1.44482- 3 2.20000+ 1 2.40000+ 1 1.94463- 3 1.58872- 3 2.20000+ 1 2.50000+ 1 4.09324- 4 1.58958- 3 2.20000+ 1 2.70000+ 1 1.79656- 4 1.54694- 3 2.20000+ 1 2.90000+ 1 3.75963- 3 1.56687- 3 2.20000+ 1 3.00000+ 1 1.64519- 4 1.57152- 3 2.20000+ 1 4.10000+ 1 1.38196- 5 1.59382- 3 2.40000+ 1 2.40000+ 1 5.73972- 4 1.73262- 3 2.40000+ 1 2.50000+ 1 4.20955- 3 1.73348- 3 2.40000+ 1 2.70000+ 1 2.64494- 6 1.69084- 3 2.40000+ 1 2.90000+ 1 5.01256- 4 1.71077- 3 2.40000+ 1 3.00000+ 1 5.17770- 4 1.71542- 3 2.50000+ 1 2.50000+ 1 2.02027- 4 1.73434- 3 2.50000+ 1 2.70000+ 1 6.12003- 5 1.69170- 3 2.50000+ 1 2.90000+ 1 8.59436- 4 1.71163- 3 2.50000+ 1 3.00000+ 1 1.32930- 4 1.71628- 3 2.50000+ 1 4.10000+ 1 4.60628- 6 1.73858- 3 2.70000+ 1 2.70000+ 1 1.62513- 5 1.64906- 3 2.70000+ 1 2.90000+ 1 1.95751- 4 1.66899- 3 2.70000+ 1 3.00000+ 1 2.65913- 5 1.67364- 3 2.70000+ 1 4.10000+ 1 2.21608- 6 1.69594- 3 2.90000+ 1 2.90000+ 1 1.90110- 4 1.68892- 3 2.90000+ 1 3.00000+ 1 5.46557- 4 1.69357- 3 2.90000+ 1 4.10000+ 1 2.49515- 5 1.71587- 3 3.00000+ 1 3.00000+ 1 4.01047- 5 1.69822- 3 3.00000+ 1 4.10000+ 1 1.00263- 5 1.72052- 3 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.75361- 5 3.17800- 4 1.40000+ 1 2.22551- 4 3.52200- 4 1.60000+ 1 6.34424- 4 1.20841- 3 2.10000+ 1 2.96382- 4 1.43621- 3 2.20000+ 1 2.39092- 3 1.44251- 3 2.70000+ 1 1.14811- 4 1.54463- 3 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.80000+ 1 1.38785- 2 1.80000- 6 1.30000+ 1 1.90000+ 1 6.67999- 2 3.67600- 5 1.30000+ 1 2.10000+ 1 1.10192- 2 1.57210- 4 1.30000+ 1 2.20000+ 1 9.78590- 3 1.63510- 4 1.30000+ 1 2.40000+ 1 1.00820- 2 3.07410- 4 1.30000+ 1 2.50000+ 1 1.47929- 2 3.08270- 4 1.30000+ 1 2.70000+ 1 2.29142- 3 2.65630- 4 1.30000+ 1 2.90000+ 1 1.58912- 3 2.85560- 4 1.30000+ 1 3.00000+ 1 6.36672- 3 2.90210- 4 1.30000+ 1 4.10000+ 1 1.75221- 4 3.12510- 4 1.40000+ 1 1.80000+ 1 8.99162- 2 3.62000- 5 1.40000+ 1 1.90000+ 1 1.51299- 1 7.11600- 5 1.40000+ 1 2.10000+ 1 4.85535- 2 1.91610- 4 1.40000+ 1 2.20000+ 1 7.19544- 2 1.97910- 4 1.40000+ 1 2.40000+ 1 9.78453- 2 3.41810- 4 1.40000+ 1 2.50000+ 1 1.16538- 1 3.42670- 4 1.40000+ 1 2.70000+ 1 1.33865- 2 3.00030- 4 1.40000+ 1 2.90000+ 1 1.08836- 2 3.19960- 4 1.40000+ 1 3.00000+ 1 1.65117- 2 3.24610- 4 1.40000+ 1 4.10000+ 1 1.03558- 3 3.46910- 4 1.60000+ 1 1.60000+ 1 7.21648- 4 8.20020- 4 1.60000+ 1 1.80000+ 1 1.09261- 3 8.92410- 4 1.60000+ 1 1.90000+ 1 1.63564- 2 9.27370- 4 1.60000+ 1 2.10000+ 1 9.76967- 4 1.04782- 3 1.60000+ 1 2.20000+ 1 1.06466- 3 1.05412- 3 1.60000+ 1 2.40000+ 1 6.23122- 4 1.19802- 3 1.60000+ 1 2.50000+ 1 9.48239- 4 1.19888- 3 1.60000+ 1 2.70000+ 1 1.82357- 4 1.15624- 3 1.60000+ 1 2.90000+ 1 1.15623- 4 1.17617- 3 1.60000+ 1 3.00000+ 1 1.39755- 3 1.18082- 3 1.60000+ 1 4.10000+ 1 1.39677- 5 1.20312- 3 1.80000+ 1 1.80000+ 1 1.39307- 4 9.64800- 4 1.80000+ 1 1.90000+ 1 1.93832- 2 9.99760- 4 1.80000+ 1 2.10000+ 1 4.73478- 4 1.12021- 3 1.80000+ 1 2.20000+ 1 3.52284- 3 1.12651- 3 1.80000+ 1 2.40000+ 1 7.09847- 4 1.27041- 3 1.80000+ 1 2.50000+ 1 4.17234- 3 1.27127- 3 1.80000+ 1 2.70000+ 1 1.23653- 4 1.22863- 3 1.80000+ 1 2.90000+ 1 2.73924- 5 1.24856- 3 1.80000+ 1 3.00000+ 1 1.67873- 3 1.25321- 3 1.80000+ 1 4.10000+ 1 9.39165- 6 1.27551- 3 1.90000+ 1 1.90000+ 1 2.69297- 2 1.03472- 3 1.90000+ 1 2.10000+ 1 3.70132- 2 1.15517- 3 1.90000+ 1 2.20000+ 1 4.95156- 2 1.16147- 3 1.90000+ 1 2.40000+ 1 1.26172- 2 1.30537- 3 1.90000+ 1 2.50000+ 1 1.43459- 2 1.30623- 3 1.90000+ 1 2.70000+ 1 2.55786- 3 1.26359- 3 1.90000+ 1 2.90000+ 1 2.43097- 3 1.28352- 3 1.90000+ 1 3.00000+ 1 5.62064- 3 1.28817- 3 1.90000+ 1 4.10000+ 1 1.99832- 4 1.31047- 3 2.10000+ 1 2.10000+ 1 2.46809- 4 1.27562- 3 2.10000+ 1 2.20000+ 1 4.63052- 3 1.28192- 3 2.10000+ 1 2.40000+ 1 2.89370- 4 1.42582- 3 2.10000+ 1 2.50000+ 1 3.58819- 3 1.42668- 3 2.10000+ 1 2.70000+ 1 1.02127- 4 1.38404- 3 2.10000+ 1 2.90000+ 1 3.55894- 5 1.40397- 3 2.10000+ 1 3.00000+ 1 3.19673- 3 1.40862- 3 2.10000+ 1 4.10000+ 1 7.73707- 6 1.43092- 3 2.20000+ 1 2.20000+ 1 2.27619- 3 1.28822- 3 2.20000+ 1 2.40000+ 1 2.84472- 3 1.43212- 3 2.20000+ 1 2.50000+ 1 2.48686- 3 1.43298- 3 2.20000+ 1 2.70000+ 1 1.13735- 4 1.39034- 3 2.20000+ 1 2.90000+ 1 2.83935- 4 1.41027- 3 2.20000+ 1 3.00000+ 1 4.23612- 3 1.41492- 3 2.20000+ 1 4.10000+ 1 8.51074- 6 1.43722- 3 2.40000+ 1 2.40000+ 1 1.74582- 4 1.57602- 3 2.40000+ 1 2.50000+ 1 5.41842- 3 1.57688- 3 2.40000+ 1 2.70000+ 1 6.44864- 5 1.53424- 3 2.40000+ 1 2.90000+ 1 7.70654- 5 1.55417- 3 2.40000+ 1 3.00000+ 1 1.05457- 3 1.55882- 3 2.40000+ 1 4.10000+ 1 4.71823- 6 1.58112- 3 2.50000+ 1 2.50000+ 1 1.91277- 3 1.57774- 3 2.50000+ 1 2.70000+ 1 7.89495- 5 1.53510- 3 2.50000+ 1 2.90000+ 1 4.52587- 4 1.55503- 3 2.50000+ 1 3.00000+ 1 1.22334- 3 1.55968- 3 2.50000+ 1 4.10000+ 1 5.47159- 6 1.58198- 3 2.70000+ 1 2.70000+ 1 1.71759- 5 1.49246- 3 2.70000+ 1 2.90000+ 1 1.82494- 5 1.51239- 3 2.70000+ 1 3.00000+ 1 3.05950- 4 1.51704- 3 2.70000+ 1 4.10000+ 1 2.14701- 6 1.53934- 3 2.90000+ 1 2.90000+ 1 2.68565- 6 1.53232- 3 2.90000+ 1 3.00000+ 1 3.69274- 4 1.53697- 3 2.90000+ 1 4.10000+ 1 1.34285- 6 1.55927- 3 3.00000+ 1 3.00000+ 1 1.06010- 3 1.54162- 3 3.00000+ 1 4.10000+ 1 6.32037- 5 1.56392- 3 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.76941- 3 9.63000- 4 1.90000+ 1 4.77932- 4 9.97960- 4 2.40000+ 1 3.87801- 3 1.26861- 3 2.90000+ 1 6.98033- 4 1.24676- 3 3.00000+ 1 9.12113- 5 1.25141- 3 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 9.47858- 2 2.40100- 5 1.40000+ 1 2.50000+ 1 1.37645- 2 2.48700- 5 1.40000+ 1 2.90000+ 1 7.77494- 4 2.16000- 6 1.40000+ 1 3.00000+ 1 2.26216- 3 6.81000- 6 1.40000+ 1 4.10000+ 1 1.70528- 4 2.91100- 5 1.60000+ 1 1.60000+ 1 3.18254- 5 5.02220- 4 1.60000+ 1 1.80000+ 1 2.79313- 3 5.74610- 4 1.60000+ 1 1.90000+ 1 1.91691- 3 6.09570- 4 1.60000+ 1 2.10000+ 1 6.59523- 2 7.30020- 4 1.60000+ 1 2.20000+ 1 8.13990- 3 7.36320- 4 1.60000+ 1 2.40000+ 1 1.08618- 2 8.80220- 4 1.60000+ 1 2.50000+ 1 3.60592- 3 8.81080- 4 1.60000+ 1 2.70000+ 1 2.44814- 5 8.38440- 4 1.60000+ 1 2.90000+ 1 2.83965- 4 8.58370- 4 1.60000+ 1 3.00000+ 1 1.56676- 4 8.63020- 4 1.60000+ 1 4.10000+ 1 2.44814- 6 8.85320- 4 1.80000+ 1 1.80000+ 1 1.51294- 3 6.47000- 4 1.80000+ 1 1.90000+ 1 1.00348- 2 6.81960- 4 1.80000+ 1 2.10000+ 1 5.63318- 2 8.02410- 4 1.80000+ 1 2.20000+ 1 4.76395- 3 8.08710- 4 1.80000+ 1 2.40000+ 1 6.86431- 3 9.52610- 4 1.80000+ 1 2.50000+ 1 3.66472- 3 9.53470- 4 1.80000+ 1 2.70000+ 1 2.96218- 4 9.10830- 4 1.80000+ 1 2.90000+ 1 3.15806- 4 9.30760- 4 1.80000+ 1 3.00000+ 1 9.32682- 4 9.35410- 4 1.80000+ 1 4.10000+ 1 2.20334- 5 9.57710- 4 1.90000+ 1 1.90000+ 1 3.66963- 3 7.16920- 4 1.90000+ 1 2.10000+ 1 1.20739- 1 8.37370- 4 1.90000+ 1 2.20000+ 1 4.51899- 3 8.43670- 4 1.90000+ 1 2.40000+ 1 4.39409- 3 9.87570- 4 1.90000+ 1 2.50000+ 1 2.14681- 3 9.88430- 4 1.90000+ 1 2.70000+ 1 2.27662- 4 9.45790- 4 1.90000+ 1 2.90000+ 1 8.98393- 4 9.65720- 4 1.90000+ 1 3.00000+ 1 6.58507- 4 9.70370- 4 1.90000+ 1 4.10000+ 1 1.71354- 5 9.92670- 4 2.10000+ 1 2.10000+ 1 1.01348- 1 9.57820- 4 2.10000+ 1 2.20000+ 1 2.05888- 1 9.64120- 4 2.10000+ 1 2.40000+ 1 4.19139- 2 1.10802- 3 2.10000+ 1 2.50000+ 1 5.36652- 2 1.10888- 3 2.10000+ 1 2.70000+ 1 9.64553- 3 1.06624- 3 2.10000+ 1 2.90000+ 1 7.23158- 3 1.08617- 3 2.10000+ 1 3.00000+ 1 1.44423- 2 1.09082- 3 2.10000+ 1 4.10000+ 1 7.46674- 4 1.11312- 3 2.20000+ 1 2.20000+ 1 3.37106- 3 9.70420- 4 2.20000+ 1 2.40000+ 1 4.22007- 2 1.11432- 3 2.20000+ 1 2.50000+ 1 2.45054- 3 1.11518- 3 2.20000+ 1 2.70000+ 1 6.80575- 4 1.07254- 3 2.20000+ 1 2.90000+ 1 4.11275- 4 1.09247- 3 2.20000+ 1 3.00000+ 1 4.43105- 4 1.09712- 3 2.20000+ 1 4.10000+ 1 4.89607- 5 1.11942- 3 2.40000+ 1 2.40000+ 1 1.69198- 2 1.25822- 3 2.40000+ 1 2.50000+ 1 5.55332- 2 1.25908- 3 2.40000+ 1 2.70000+ 1 1.66321- 3 1.21644- 3 2.40000+ 1 2.90000+ 1 7.38394- 4 1.23637- 3 2.40000+ 1 3.00000+ 1 5.24176- 4 1.24102- 3 2.40000+ 1 4.10000+ 1 1.28521- 4 1.26332- 3 2.50000+ 1 2.50000+ 1 1.13839- 3 1.25994- 3 2.50000+ 1 2.70000+ 1 4.13721- 4 1.21730- 3 2.50000+ 1 2.90000+ 1 2.45072- 4 1.23723- 3 2.50000+ 1 3.00000+ 1 2.47704- 4 1.24188- 3 2.50000+ 1 4.10000+ 1 3.16211- 5 1.26418- 3 2.70000+ 1 2.70000+ 1 1.31118- 5 1.17466- 3 2.70000+ 1 2.90000+ 1 1.70452- 4 1.19459- 3 2.70000+ 1 3.00000+ 1 1.04897- 4 1.19924- 3 2.90000+ 1 2.90000+ 1 8.98663- 5 1.21452- 3 2.90000+ 1 3.00000+ 1 4.62177- 4 1.21917- 3 2.90000+ 1 4.10000+ 1 1.28387- 5 1.24147- 3 3.00000+ 1 3.00000+ 1 5.76515- 4 1.22382- 3 3.00000+ 1 4.10000+ 1 4.43478- 5 1.24612- 3 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.85130- 3 9.63560- 4 2.40000+ 1 2.30100- 4 1.23421- 3 2.50000+ 1 4.45220- 3 1.23507- 3 3.00000+ 1 8.73370- 4 1.21701- 3 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 2.69378- 6 4.67820- 4 1.60000+ 1 1.80000+ 1 7.62314- 4 5.40210- 4 1.60000+ 1 1.90000+ 1 4.77598- 3 5.75170- 4 1.60000+ 1 2.10000+ 1 7.00359- 3 6.95620- 4 1.60000+ 1 2.20000+ 1 7.75790- 2 7.01920- 4 1.60000+ 1 2.40000+ 1 3.83307- 3 8.45820- 4 1.60000+ 1 2.50000+ 1 1.26658- 2 8.46680- 4 1.60000+ 1 2.70000+ 1 1.88553- 5 8.04040- 4 1.60000+ 1 2.90000+ 1 4.04047- 5 8.23970- 4 1.60000+ 1 3.00000+ 1 4.25605- 4 8.28620- 4 1.60000+ 1 4.10000+ 1 2.69378- 6 8.50920- 4 1.80000+ 1 1.80000+ 1 1.34690- 5 6.12600- 4 1.80000+ 1 1.90000+ 1 1.14813- 2 6.47560- 4 1.80000+ 1 2.10000+ 1 6.78867- 4 7.68010- 4 1.80000+ 1 2.20000+ 1 7.73654- 2 7.74310- 4 1.80000+ 1 2.40000+ 1 1.72414- 3 9.18210- 4 1.80000+ 1 2.50000+ 1 6.20142- 3 9.19070- 4 1.80000+ 1 2.70000+ 1 7.81229- 5 8.76430- 4 1.80000+ 1 2.90000+ 1 5.38772- 6 8.96360- 4 1.80000+ 1 3.00000+ 1 1.01555- 3 9.01010- 4 1.80000+ 1 4.10000+ 1 5.38772- 6 9.23310- 4 1.90000+ 1 1.90000+ 1 8.80373- 3 6.82520- 4 1.90000+ 1 2.10000+ 1 7.24403- 3 8.02970- 4 1.90000+ 1 2.20000+ 1 1.23810- 1 8.09270- 4 1.90000+ 1 2.40000+ 1 2.70474- 3 9.53170- 4 1.90000+ 1 2.50000+ 1 6.32802- 3 9.54030- 4 1.90000+ 1 2.70000+ 1 5.65715- 4 9.11390- 4 1.90000+ 1 2.90000+ 1 9.99425- 4 9.31320- 4 1.90000+ 1 3.00000+ 1 1.61096- 3 9.35970- 4 1.90000+ 1 4.10000+ 1 4.31014- 5 9.58270- 4 2.10000+ 1 2.10000+ 1 1.55439- 3 9.23420- 4 2.10000+ 1 2.20000+ 1 1.60425- 1 9.29720- 4 2.10000+ 1 2.40000+ 1 2.16044- 3 1.07362- 3 2.10000+ 1 2.50000+ 1 2.85358- 2 1.07448- 3 2.10000+ 1 2.70000+ 1 5.71095- 4 1.03184- 3 2.10000+ 1 2.90000+ 1 8.88962- 5 1.05177- 3 2.10000+ 1 3.00000+ 1 6.43825- 4 1.05642- 3 2.10000+ 1 4.10000+ 1 4.04070- 5 1.07872- 3 2.20000+ 1 2.20000+ 1 1.83316- 1 9.36020- 4 2.20000+ 1 2.40000+ 1 5.10016- 2 1.07992- 3 2.20000+ 1 2.50000+ 1 7.64094- 2 1.08078- 3 2.20000+ 1 2.70000+ 1 1.10028- 2 1.03814- 3 2.20000+ 1 2.90000+ 1 9.55820- 3 1.05807- 3 2.20000+ 1 3.00000+ 1 1.49106- 2 1.06272- 3 2.20000+ 1 4.10000+ 1 8.51287- 4 1.08502- 3 2.40000+ 1 2.40000+ 1 1.43706- 3 1.22382- 3 2.40000+ 1 2.50000+ 1 5.18524- 2 1.22468- 3 2.40000+ 1 2.70000+ 1 4.44923- 4 1.18204- 3 2.40000+ 1 2.90000+ 1 2.01744- 4 1.20197- 3 2.40000+ 1 3.00000+ 1 2.48724- 4 1.20662- 3 2.40000+ 1 4.10000+ 1 3.31636- 5 1.22892- 3 2.50000+ 1 2.50000+ 1 3.24257- 2 1.22554- 3 2.50000+ 1 2.70000+ 1 1.87147- 3 1.18290- 3 2.50000+ 1 2.90000+ 1 7.74021- 4 1.20283- 3 2.50000+ 1 3.00000+ 1 6.91096- 4 1.20748- 3 2.50000+ 1 4.10000+ 1 1.43748- 4 1.22978- 3 2.70000+ 1 2.70000+ 1 2.19180- 5 1.14026- 3 2.70000+ 1 2.90000+ 1 4.38338- 5 1.16019- 3 2.70000+ 1 3.00000+ 1 4.38338- 4 1.16484- 3 2.90000+ 1 3.00000+ 1 4.65460- 4 1.18477- 3 3.00000+ 1 3.00000+ 1 5.97596- 4 1.18942- 3 3.00000+ 1 4.10000+ 1 4.26846- 5 1.21172- 3 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.56452- 5 7.23900- 5 1.90000+ 1 1.04617- 4 1.07350- 4 2.90000+ 1 4.64065- 5 3.56150- 4 3.00000+ 1 3.46545- 5 3.60800- 4 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 2.83547- 2 6.20000- 5 1.80000+ 1 2.50000+ 1 4.16493- 2 6.28600- 5 1.80000+ 1 2.70000+ 1 4.37213- 2 2.02200- 5 1.80000+ 1 2.90000+ 1 3.46418- 2 4.01500- 5 1.80000+ 1 3.00000+ 1 6.89982- 2 4.48000- 5 1.80000+ 1 4.10000+ 1 3.28012- 3 6.71000- 5 1.90000+ 1 2.40000+ 1 1.16208- 1 9.69600- 5 1.90000+ 1 2.50000+ 1 1.40075- 1 9.78200- 5 1.90000+ 1 2.70000+ 1 5.39305- 2 5.51800- 5 1.90000+ 1 2.90000+ 1 5.49391- 2 7.51100- 5 1.90000+ 1 3.00000+ 1 7.01343- 2 7.97600- 5 1.90000+ 1 4.10000+ 1 4.12327- 3 1.02060- 4 2.10000+ 1 2.10000+ 1 4.34054- 3 6.72100- 5 2.10000+ 1 2.20000+ 1 1.99709- 2 7.35100- 5 2.10000+ 1 2.40000+ 1 4.18722- 3 2.17410- 4 2.10000+ 1 2.50000+ 1 9.95251- 3 2.18270- 4 2.10000+ 1 2.70000+ 1 1.82985- 2 1.75630- 4 2.10000+ 1 2.90000+ 1 3.74791- 3 1.95560- 4 2.10000+ 1 3.00000+ 1 1.06249- 2 2.00210- 4 2.10000+ 1 4.10000+ 1 1.17032- 3 2.22510- 4 2.20000+ 1 2.20000+ 1 1.08334- 2 7.98100- 5 2.20000+ 1 2.40000+ 1 1.13827- 2 2.23710- 4 2.20000+ 1 2.50000+ 1 9.99196- 3 2.24570- 4 2.20000+ 1 2.70000+ 1 2.64752- 2 1.81930- 4 2.20000+ 1 2.90000+ 1 1.02094- 2 2.01860- 4 2.20000+ 1 3.00000+ 1 1.01178- 2 2.06510- 4 2.20000+ 1 4.10000+ 1 1.68839- 3 2.28810- 4 2.40000+ 1 2.40000+ 1 2.26767- 3 3.67610- 4 2.40000+ 1 2.50000+ 1 6.08398- 3 3.68470- 4 2.40000+ 1 2.70000+ 1 1.01949- 2 3.25830- 4 2.40000+ 1 2.90000+ 1 1.23103- 3 3.45760- 4 2.40000+ 1 3.00000+ 1 3.07877- 3 3.50410- 4 2.40000+ 1 4.10000+ 1 5.95242- 4 3.72710- 4 2.50000+ 1 2.50000+ 1 3.93290- 3 3.69330- 4 2.50000+ 1 2.70000+ 1 1.31769- 2 3.26690- 4 2.50000+ 1 2.90000+ 1 8.38147- 4 3.46620- 4 2.50000+ 1 3.00000+ 1 3.86966- 3 3.51270- 4 2.50000+ 1 4.10000+ 1 7.68973- 4 3.73570- 4 2.70000+ 1 2.70000+ 1 1.90496- 2 2.84050- 4 2.70000+ 1 2.90000+ 1 2.31641- 2 3.03980- 4 2.70000+ 1 3.00000+ 1 3.94873- 2 3.08630- 4 2.70000+ 1 4.10000+ 1 2.61015- 3 3.30930- 4 2.90000+ 1 2.90000+ 1 5.29083- 3 3.23910- 4 2.90000+ 1 3.00000+ 1 2.22281- 2 3.28560- 4 2.90000+ 1 4.10000+ 1 4.05788- 3 3.50860- 4 3.00000+ 1 3.00000+ 1 1.77848- 2 3.33210- 4 3.00000+ 1 4.10000+ 1 7.03978- 3 3.55510- 4 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.44685- 4 1.55410- 4 2.70000+ 1 7.74741- 5 2.63830- 4 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 5.56702- 2 2.45700- 5 1.90000+ 1 2.50000+ 1 4.25626- 2 2.54300- 5 1.90000+ 1 2.90000+ 1 1.11922- 2 2.72000- 6 1.90000+ 1 3.00000+ 1 1.11661- 2 7.37000- 6 1.90000+ 1 4.10000+ 1 1.26826- 3 2.96700- 5 2.10000+ 1 2.10000+ 1 1.89168- 2 0.00000+ 0 2.10000+ 1 2.20000+ 1 2.91695- 1 1.12000- 6 2.10000+ 1 2.40000+ 1 9.58481- 2 1.45020- 4 2.10000+ 1 2.50000+ 1 1.98961- 1 1.45880- 4 2.10000+ 1 2.70000+ 1 3.12326- 2 1.03240- 4 2.10000+ 1 2.90000+ 1 2.19772- 2 1.23170- 4 2.10000+ 1 3.00000+ 1 3.91730- 2 1.27820- 4 2.10000+ 1 4.10000+ 1 2.38320- 3 1.50120- 4 2.20000+ 1 2.20000+ 1 1.75178- 2 7.42000- 6 2.20000+ 1 2.40000+ 1 2.85075- 2 1.51320- 4 2.20000+ 1 2.50000+ 1 7.54279- 3 1.52180- 4 2.20000+ 1 2.70000+ 1 5.97855- 3 1.09540- 4 2.20000+ 1 2.90000+ 1 2.50657- 2 1.29470- 4 2.20000+ 1 3.00000+ 1 5.37536- 3 1.34120- 4 2.20000+ 1 4.10000+ 1 4.03889- 4 1.56420- 4 2.40000+ 1 2.40000+ 1 1.31882- 3 2.95220- 4 2.40000+ 1 2.50000+ 1 1.01009- 2 2.96080- 4 2.40000+ 1 2.70000+ 1 2.57839- 3 2.53440- 4 2.40000+ 1 2.90000+ 1 9.51811- 3 2.73370- 4 2.40000+ 1 3.00000+ 1 3.14636- 3 2.78020- 4 2.40000+ 1 4.10000+ 1 1.94294- 4 3.00320- 4 2.50000+ 1 2.50000+ 1 4.19456- 4 2.96940- 4 2.50000+ 1 2.70000+ 1 1.49450- 3 2.54300- 4 2.50000+ 1 2.90000+ 1 1.72280- 2 2.74230- 4 2.50000+ 1 3.00000+ 1 1.28236- 3 2.78880- 4 2.50000+ 1 4.10000+ 1 9.55657- 5 3.01180- 4 2.70000+ 1 2.70000+ 1 2.59890- 4 2.11660- 4 2.70000+ 1 2.90000+ 1 4.20256- 3 2.31590- 4 2.70000+ 1 3.00000+ 1 6.72854- 4 2.36240- 4 2.70000+ 1 4.10000+ 1 3.45685- 5 2.58540- 4 2.90000+ 1 2.90000+ 1 8.41041- 3 2.51520- 4 2.90000+ 1 3.00000+ 1 2.36153- 2 2.56170- 4 2.90000+ 1 4.10000+ 1 1.18313- 3 2.78470- 4 3.00000+ 1 3.00000+ 1 1.18499- 3 2.60820- 4 3.00000+ 1 4.10000+ 1 1.99906- 4 2.83120- 4 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 8.87578- 6 1.20450- 4 2.20000+ 1 9.74247- 5 1.26750- 4 2.70000+ 1 3.95999- 5 2.28870- 4 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.85797- 2 1.10060- 4 2.10000+ 1 2.50000+ 1 5.45661- 2 1.10920- 4 2.10000+ 1 2.70000+ 1 1.46113- 2 6.82800- 5 2.10000+ 1 2.90000+ 1 1.08685- 2 8.82100- 5 2.10000+ 1 3.00000+ 1 4.14904- 2 9.28600- 5 2.10000+ 1 4.10000+ 1 1.10368- 3 1.15160- 4 2.20000+ 1 2.40000+ 1 2.44274- 1 1.16360- 4 2.20000+ 1 2.50000+ 1 2.51625- 1 1.17220- 4 2.20000+ 1 2.70000+ 1 7.54746- 2 7.45800- 5 2.20000+ 1 2.90000+ 1 7.29346- 2 9.45100- 5 2.20000+ 1 3.00000+ 1 1.07763- 1 9.91600- 5 2.20000+ 1 4.10000+ 1 5.91623- 3 1.21460- 4 2.40000+ 1 2.40000+ 1 4.15045- 4 2.60260- 4 2.40000+ 1 2.50000+ 1 1.29435- 2 2.61120- 4 2.40000+ 1 2.70000+ 1 3.46292- 3 2.18480- 4 2.40000+ 1 2.90000+ 1 1.49893- 3 2.38410- 4 2.40000+ 1 3.00000+ 1 2.18925- 2 2.43060- 4 2.40000+ 1 4.10000+ 1 2.05017- 4 2.65360- 4 2.50000+ 1 2.50000+ 1 4.87138- 3 2.61980- 4 2.50000+ 1 2.70000+ 1 7.34643- 3 2.19340- 4 2.50000+ 1 2.90000+ 1 6.03253- 3 2.39270- 4 2.50000+ 1 3.00000+ 1 2.65114- 2 2.43920- 4 2.50000+ 1 4.10000+ 1 4.82145- 4 2.66220- 4 2.70000+ 1 2.70000+ 1 2.14606- 5 1.76700- 4 2.70000+ 1 2.90000+ 1 2.43436- 4 1.96630- 4 2.70000+ 1 3.00000+ 1 4.66101- 3 2.01280- 4 2.70000+ 1 4.10000+ 1 3.67897- 6 2.23580- 4 2.90000+ 1 2.90000+ 1 2.22088- 5 2.16560- 4 2.90000+ 1 3.00000+ 1 2.54387- 3 2.21210- 4 2.90000+ 1 4.10000+ 1 9.31293- 6 2.43510- 4 3.00000+ 1 3.00000+ 1 7.03753- 3 2.25860- 4 3.00000+ 1 4.10000+ 1 4.42155- 4 2.48160- 4 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.32339- 5 1.50200- 4 2.90000+ 1 1.14742- 5 1.28350- 4 3.00000+ 1 1.81928- 6 1.33000- 4 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 2.40000+ 1 4.73257- 2 0.00000+ 0 2.20000+ 1 2.50000+ 1 4.50176- 3 0.00000+ 0 2.20000+ 1 4.10000+ 1 2.30501- 4 1.01000- 6 2.40000+ 1 2.40000+ 1 1.28298- 1 1.39810- 4 2.40000+ 1 2.50000+ 1 4.43626- 1 1.40670- 4 2.40000+ 1 2.70000+ 1 6.86050- 2 9.80300- 5 2.40000+ 1 2.90000+ 1 5.67903- 2 1.17960- 4 2.40000+ 1 3.00000+ 1 8.94608- 2 1.22610- 4 2.40000+ 1 4.10000+ 1 5.33885- 3 1.44910- 4 2.50000+ 1 2.50000+ 1 3.06369- 3 1.41530- 4 2.50000+ 1 2.70000+ 1 4.75913- 3 9.88900- 5 2.50000+ 1 2.90000+ 1 1.28829- 2 1.18820- 4 2.50000+ 1 3.00000+ 1 4.28214- 3 1.23470- 4 2.50000+ 1 4.10000+ 1 3.15097- 4 1.45770- 4 2.70000+ 1 2.70000+ 1 8.29304- 3 5.62500- 5 2.70000+ 1 2.90000+ 1 7.42979- 3 7.61800- 5 2.70000+ 1 3.00000+ 1 8.82887- 3 8.08300- 5 2.70000+ 1 4.10000+ 1 7.17258- 4 1.03130- 4 2.90000+ 1 2.90000+ 1 1.78746- 2 9.61100- 5 2.90000+ 1 3.00000+ 1 5.62515- 2 1.00760- 4 2.90000+ 1 4.10000+ 1 2.22077- 3 1.23060- 4 3.00000+ 1 3.00000+ 1 2.67005- 2 1.05410- 4 3.00000+ 1 4.10000+ 1 2.17742- 3 1.27710- 4 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 6.89955- 7 1.43900- 4 2.50000+ 1 1.40209- 5 1.44760- 4 3.00000+ 1 1.27859- 5 1.26700- 4 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 9.46033- 3 1.33510- 4 2.40000+ 1 2.50000+ 1 3.96759- 1 1.34370- 4 2.40000+ 1 2.70000+ 1 1.09901- 2 9.17300- 5 2.40000+ 1 2.90000+ 1 6.10819- 3 1.11660- 4 2.40000+ 1 3.00000+ 1 2.17691- 2 1.16310- 4 2.40000+ 1 4.10000+ 1 7.80396- 4 1.38610- 4 2.50000+ 1 2.50000+ 1 2.60947- 1 1.35230- 4 2.50000+ 1 2.70000+ 1 8.12635- 2 9.25900- 5 2.50000+ 1 2.90000+ 1 7.90563- 2 1.12520- 4 2.50000+ 1 3.00000+ 1 1.03511- 1 1.17170- 4 2.50000+ 1 4.10000+ 1 6.35807- 3 1.39470- 4 2.70000+ 1 2.70000+ 1 5.10849- 3 4.99500- 5 2.70000+ 1 2.90000+ 1 2.55465- 3 6.98800- 5 2.70000+ 1 3.00000+ 1 6.62403- 3 7.45300- 5 2.70000+ 1 4.10000+ 1 4.34732- 4 9.68300- 5 2.90000+ 1 2.90000+ 1 4.89311- 4 8.98100- 5 2.90000+ 1 3.00000+ 1 4.67458- 3 9.44600- 5 2.90000+ 1 4.10000+ 1 1.04371- 4 1.16760- 4 3.00000+ 1 3.00000+ 1 2.71450- 3 9.91100- 5 3.00000+ 1 4.10000+ 1 2.64280- 4 1.21410- 4 1 65000 0 7 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 5.51281- 8 1.99300- 5 3.00000+ 1 2.09801- 7 2.45800- 5 1 65000 0 9 1.58925+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 4.09171- 1 1.46400- 5 3.00000+ 1 4.10000+ 1 5.83062- 1 1.92900- 5 4.10000+ 1 4.10000+ 1 7.76712- 3 4.15900- 5 1 66000 0 0 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 4.29000+ 0 2.50000+ 1 5.71000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 1 66000 0 0 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.38610- 2 3.00000+ 0 9.01250- 3 5.00000+ 0 8.59070- 3 6.00000+ 0 7.78100- 3 8.00000+ 0 2.01820- 3 1.00000+ 1 1.83090- 3 1.10000+ 1 1.66210- 3 1.30000+ 1 1.33660- 3 1.40000+ 1 1.29950- 3 1.60000+ 1 4.04200- 4 1.80000+ 1 3.29380- 4 1.90000+ 1 2.91560- 4 2.10000+ 1 1.67070- 4 2.20000+ 1 1.60240- 4 2.40000+ 1 1.06200- 5 2.50000+ 1 9.66000- 6 2.70000+ 1 5.36700- 5 2.90000+ 1 3.30600- 5 3.00000+ 1 2.80900- 5 4.10000+ 1 5.35000- 6 1 66000 0 0 1.62500+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.09000- 2 3.00000+ 0 1.62180- 2 5.00000+ 0 1.62220- 2 6.00000+ 0 1.32170- 2 8.00000+ 0 5.03290- 3 1.00000+ 1 4.94520- 3 1.10000+ 1 4.23190- 3 1.30000+ 1 4.09690- 3 1.40000+ 1 3.93140- 3 1.60000+ 1 1.57210- 3 1.80000+ 1 1.47630- 3 1.90000+ 1 1.27120- 3 2.10000+ 1 1.08630- 3 2.20000+ 1 1.04150- 3 2.40000+ 1 6.34570- 4 2.50000+ 1 6.18910- 4 2.70000+ 1 3.22040- 4 2.90000+ 1 2.53100- 4 3.00000+ 1 2.11210- 4 4.10000+ 1 3.06200- 5 1 66000 0 0 1.62500+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.11600-10 3.00000+ 0 4.70730-10 5.00000+ 0 3.91950-10 6.00000+ 0 4.29020-10 8.00000+ 0 1.23260- 9 1.00000+ 1 1.17620- 9 1.10000+ 1 1.24650- 9 1.30000+ 1 1.09980- 9 1.40000+ 1 1.12140- 9 1.60000+ 1 2.78610- 9 1.80000+ 1 2.83600- 9 1.90000+ 1 2.99580- 9 2.10000+ 1 3.15410- 9 2.20000+ 1 3.20980- 9 2.40000+ 1 4.24770- 9 2.50000+ 1 4.32110- 9 2.70000+ 1 6.78100- 9 2.90000+ 1 7.60730- 9 3.00000+ 1 8.14410- 9 4.10000+ 1 2.16980- 8 1 66000 0 0 1.62500+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.31810- 5 3.00000+ 0 4.55700- 7 5.00000+ 0 7.81580- 7 6.00000+ 0 7.12730- 7 8.00000+ 0 1.43210- 8 1.00000+ 1 1.47450- 8 1.10000+ 1 1.52040- 8 1.30000+ 1 1.10060- 8 1.40000+ 1 1.03470- 8 1.60000+ 1 3.67270-10 1.80000+ 1 7.20990-10 1.90000+ 1 4.81110-10 2.10000+ 1 4.51300-10 2.20000+ 1 4.09720-10 2.70000+ 1 1.76240-11 1 66000 0 0 1.62500+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.50580- 6 3.00000+ 0 4.39910- 6 5.00000+ 0 3.07560- 6 6.00000+ 0 3.01330- 6 8.00000+ 0 1.69710- 5 1.00000+ 1 8.84080- 6 1.10000+ 1 8.95860- 6 1.30000+ 1 1.67780- 6 1.40000+ 1 1.05430- 6 1.60000+ 1 1.18210- 5 1.80000+ 1 1.48390- 5 1.90000+ 1 7.99900- 6 2.10000+ 1 4.09640- 6 2.20000+ 1 3.37540- 6 2.70000+ 1 3.08410- 6 1 66000 0 0 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.14445- 4 3.00000+ 0 1.42508- 4 5.00000+ 0 1.19522- 4 6.00000+ 0 1.12326- 4 8.00000+ 0 1.05952- 4 1.00000+ 1 8.95941- 5 1.10000+ 1 8.19105- 5 1.30000+ 1 5.89737- 5 1.40000+ 1 5.57927- 5 1.60000+ 1 6.21687- 5 1.80000+ 1 5.03519- 5 1.90000+ 1 4.39854- 5 2.10000+ 1 2.98860- 5 2.20000+ 1 2.68000- 5 2.40000+ 1 1.06200- 5 2.50000+ 1 9.66000- 6 2.70000+ 1 3.53099- 5 2.90000+ 1 3.30600- 5 3.00000+ 1 2.80900- 5 4.10000+ 1 5.35000- 6 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.12442+ 0 3.00000+ 0 2.11868- 1 5.00000+ 0 2.42014- 1 6.00000+ 0 1.99526- 1 8.00000+ 0 1.24020- 2 1.00000+ 1 1.26776- 2 1.10000+ 1 1.20752- 2 1.30000+ 1 1.12293- 2 1.40000+ 1 1.06134- 2 1.60000+ 1 4.22338- 4 1.80000+ 1 5.22284- 4 1.90000+ 1 1.91661- 4 2.10000+ 1 3.45844- 5 2.20000+ 1 3.38671- 5 2.70000+ 1 3.75217- 7 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.54709- 2 3.00000+ 0 1.41374- 3 5.00000+ 0 1.66194- 3 6.00000+ 0 1.22256- 3 8.00000+ 0 1.56451- 5 1.00000+ 1 1.56806- 5 1.10000+ 1 1.48880- 5 1.30000+ 1 1.32625- 5 1.40000+ 1 1.25020- 5 1.60000+ 1 8.17352- 8 1.80000+ 1 9.37176- 8 1.90000+ 1 3.03240- 8 2.10000+ 1 5.07966- 9 2.20000+ 1 4.85358- 9 2.70000+ 1 9.21596-12 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.36422+ 0 3.00000+ 0 9.32594+ 0 5.00000+ 0 7.70746+ 0 6.00000+ 0 7.26544+ 0 8.00000+ 0 6.65693+ 0 1.00000+ 1 5.46712+ 0 1.10000+ 1 4.99478+ 0 1.30000+ 1 3.32635+ 0 1.40000+ 1 3.17820+ 0 1.60000+ 1 2.94372+ 0 1.80000+ 1 2.52539+ 0 1.90000+ 1 2.09189+ 0 2.10000+ 1 1.15143+ 0 2.20000+ 1 1.10333+ 0 2.70000+ 1 1.00000+ 0 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.27568- 3 3.00000+ 0 7.45625- 3 5.00000+ 0 6.80924- 3 6.00000+ 0 6.44611- 3 8.00000+ 0 1.89660- 3 1.00000+ 1 1.72563- 3 1.10000+ 1 1.56530- 3 1.30000+ 1 1.26436- 3 1.40000+ 1 1.23121- 3 1.60000+ 1 3.41950- 4 1.80000+ 1 2.78934- 4 1.90000+ 1 2.47544- 4 2.10000+ 1 1.37179- 4 2.20000+ 1 1.33435- 4 2.70000+ 1 1.83601- 5 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.70040- 1 4.52703- 2 6.00000+ 0 4.82590- 1 4.60800- 2 1.00000+ 1 4.96700- 2 5.20301- 2 1.10000+ 1 9.60170- 2 5.21989- 2 1.30000+ 1 8.17830- 4 5.25244- 2 1.40000+ 1 1.06890- 3 5.25615- 2 1.80000+ 1 1.09330- 2 5.35316- 2 1.90000+ 1 2.11790- 2 5.35694- 2 2.10000+ 1 1.84630- 4 5.36939- 2 2.20000+ 1 2.40370- 4 5.37008- 2 2.90000+ 1 2.38080- 3 5.38279- 2 3.00000+ 1 4.93810- 3 5.38329- 2 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 5.47190- 3 3.58360- 2 3.00000+ 0 5.00000+ 0 7.22423- 3 3.62578- 2 3.00000+ 0 6.00000+ 0 6.40908- 3 3.70675- 2 3.00000+ 0 8.00000+ 0 2.09365- 3 4.28303- 2 3.00000+ 0 1.00000+ 1 1.49202- 3 4.30176- 2 3.00000+ 0 1.10000+ 1 1.37284- 3 4.31864- 2 3.00000+ 0 1.30000+ 1 1.03002- 4 4.35119- 2 3.00000+ 0 1.40000+ 1 9.63966- 5 4.35490- 2 3.00000+ 0 1.60000+ 1 4.91940- 4 4.44443- 2 3.00000+ 0 1.80000+ 1 3.37501- 4 4.45191- 2 3.00000+ 0 1.90000+ 1 3.08034- 4 4.45569- 2 3.00000+ 0 2.10000+ 1 2.29615- 5 4.46814- 2 3.00000+ 0 2.20000+ 1 2.12292- 5 4.46883- 2 3.00000+ 0 2.70000+ 1 7.95005- 5 4.47948- 2 3.00000+ 0 2.90000+ 1 4.37565- 5 4.48154- 2 3.00000+ 0 3.00000+ 1 3.79083- 5 4.48204- 2 3.00000+ 0 4.10000+ 1 6.06567- 6 4.48431- 2 5.00000+ 0 5.00000+ 0 6.44609- 4 3.66796- 2 5.00000+ 0 6.00000+ 0 1.27054- 2 3.74893- 2 5.00000+ 0 8.00000+ 0 1.16481- 3 4.32521- 2 5.00000+ 0 1.00000+ 1 2.35046- 4 4.34394- 2 5.00000+ 0 1.10000+ 1 2.25996- 3 4.36082- 2 5.00000+ 0 1.30000+ 1 1.13956- 4 4.39337- 2 5.00000+ 0 1.40000+ 1 3.50516- 4 4.39708- 2 5.00000+ 0 1.60000+ 1 2.63542- 4 4.48661- 2 5.00000+ 0 1.80000+ 1 5.18841- 5 4.49409- 2 5.00000+ 0 1.90000+ 1 4.87878- 4 4.49787- 2 5.00000+ 0 2.10000+ 1 2.48046- 5 4.51032- 2 5.00000+ 0 2.20000+ 1 7.60414- 5 4.51101- 2 5.00000+ 0 2.40000+ 1 3.24957- 7 4.52597- 2 5.00000+ 0 2.50000+ 1 3.24957- 7 4.52606- 2 5.00000+ 0 2.70000+ 1 4.22434- 5 4.52166- 2 5.00000+ 0 2.90000+ 1 6.71582- 6 4.52372- 2 5.00000+ 0 3.00000+ 1 5.96833- 5 4.52422- 2 5.00000+ 0 4.10000+ 1 3.24957- 6 4.52649- 2 6.00000+ 0 6.00000+ 0 5.96127- 3 3.82990- 2 6.00000+ 0 8.00000+ 0 9.79343- 4 4.40618- 2 6.00000+ 0 1.00000+ 1 2.15221- 3 4.42491- 2 6.00000+ 0 1.10000+ 1 2.18572- 3 4.44179- 2 6.00000+ 0 1.30000+ 1 4.06003- 4 4.47434- 2 6.00000+ 0 1.40000+ 1 3.58865- 4 4.47805- 2 6.00000+ 0 1.60000+ 1 2.18916- 4 4.56758- 2 6.00000+ 0 1.80000+ 1 4.67940- 4 4.57506- 2 6.00000+ 0 1.90000+ 1 4.75427- 4 4.57884- 2 6.00000+ 0 2.10000+ 1 8.88232- 5 4.59129- 2 6.00000+ 0 2.20000+ 1 7.80995- 5 4.59198- 2 6.00000+ 0 2.40000+ 1 7.58217- 7 4.60694- 2 6.00000+ 0 2.50000+ 1 4.33272- 7 4.60703- 2 6.00000+ 0 2.70000+ 1 3.49874- 5 4.60263- 2 6.00000+ 0 2.90000+ 1 6.02240- 5 4.60469- 2 6.00000+ 0 3.00000+ 1 5.82753- 5 4.60519- 2 6.00000+ 0 4.10000+ 1 2.70800- 6 4.60746- 2 8.00000+ 0 8.00000+ 0 1.97128- 4 4.98246- 2 8.00000+ 0 1.00000+ 1 2.42190- 4 5.00119- 2 8.00000+ 0 1.10000+ 1 2.11749- 4 5.01807- 2 8.00000+ 0 1.30000+ 1 1.52724- 5 5.05062- 2 8.00000+ 0 1.40000+ 1 1.35392- 5 5.05433- 2 8.00000+ 0 1.60000+ 1 9.22885- 5 5.14386- 2 8.00000+ 0 1.80000+ 1 5.49162- 5 5.15134- 2 8.00000+ 0 1.90000+ 1 4.76588- 5 5.15512- 2 8.00000+ 0 2.10000+ 1 3.35772- 6 5.16757- 2 8.00000+ 0 2.20000+ 1 3.03278- 6 5.16826- 2 8.00000+ 0 2.70000+ 1 1.49473- 5 5.17891- 2 8.00000+ 0 2.90000+ 1 7.14888- 6 5.18097- 2 8.00000+ 0 3.00000+ 1 5.84899- 6 5.18147- 2 8.00000+ 0 4.10000+ 1 1.19149- 6 5.18374- 2 1.00000+ 1 1.00000+ 1 2.07968- 5 5.01992- 2 1.00000+ 1 1.10000+ 1 3.91125- 4 5.03680- 2 1.00000+ 1 1.30000+ 1 1.58140- 5 5.06935- 2 1.00000+ 1 1.40000+ 1 4.58168- 5 5.07306- 2 1.00000+ 1 1.60000+ 1 5.49167- 5 5.16259- 2 1.00000+ 1 1.80000+ 1 9.09823- 6 5.17007- 2 1.00000+ 1 1.90000+ 1 8.48086- 5 5.17385- 2 1.00000+ 1 2.10000+ 1 3.46604- 6 5.18630- 2 1.00000+ 1 2.20000+ 1 9.96459- 6 5.18699- 2 1.00000+ 1 2.70000+ 1 8.77398- 6 5.19764- 2 1.00000+ 1 2.90000+ 1 1.19150- 6 5.19970- 2 1.00000+ 1 3.00000+ 1 1.03979- 5 5.20020- 2 1.00000+ 1 4.10000+ 1 6.49865- 7 5.20247- 2 1.10000+ 1 1.10000+ 1 2.01678- 4 5.05368- 2 1.10000+ 1 1.30000+ 1 5.91397- 5 5.08623- 2 1.10000+ 1 1.40000+ 1 5.08003- 5 5.08994- 2 1.10000+ 1 1.60000+ 1 4.74408- 5 5.17947- 2 1.10000+ 1 1.80000+ 1 8.53536- 5 5.18695- 2 1.10000+ 1 1.90000+ 1 8.78405- 5 5.19073- 2 1.10000+ 1 2.10000+ 1 1.29978- 5 5.20318- 2 1.10000+ 1 2.20000+ 1 1.11564- 5 5.20387- 2 1.10000+ 1 2.40000+ 1 1.08312- 7 5.21883- 2 1.10000+ 1 2.70000+ 1 7.58175- 6 5.21452- 2 1.10000+ 1 2.90000+ 1 1.10484- 5 5.21658- 2 1.10000+ 1 3.00000+ 1 1.07231- 5 5.21708- 2 1.10000+ 1 4.10000+ 1 5.41559- 7 5.21935- 2 1.30000+ 1 1.30000+ 1 1.09695- 7 5.11878- 2 1.30000+ 1 1.40000+ 1 7.24023- 6 5.12249- 2 1.30000+ 1 1.60000+ 1 3.40063- 6 5.21202- 2 1.30000+ 1 1.80000+ 1 3.29097- 6 5.21950- 2 1.30000+ 1 1.90000+ 1 1.23956- 5 5.22328- 2 1.30000+ 1 2.20000+ 1 1.53581- 6 5.23642- 2 1.30000+ 1 2.70000+ 1 5.48477- 7 5.24707- 2 1.30000+ 1 2.90000+ 1 4.38782- 7 5.24913- 2 1.30000+ 1 3.00000+ 1 1.53581- 6 5.24963- 2 1.40000+ 1 1.40000+ 1 1.73296- 6 5.12620- 2 1.40000+ 1 1.60000+ 1 3.03270- 6 5.21573- 2 1.40000+ 1 1.80000+ 1 9.42276- 6 5.22321- 2 1.40000+ 1 1.90000+ 1 1.05056- 5 5.22699- 2 1.40000+ 1 2.10000+ 1 1.51640- 6 5.23944- 2 1.40000+ 1 2.20000+ 1 7.58153- 7 5.24013- 2 1.40000+ 1 2.70000+ 1 4.33235- 7 5.25078- 2 1.40000+ 1 2.90000+ 1 1.19146- 6 5.25284- 2 1.40000+ 1 3.00000+ 1 1.29975- 6 5.25334- 2 1.60000+ 1 1.60000+ 1 1.09470- 5 5.30526- 2 1.60000+ 1 1.80000+ 1 1.25895- 5 5.31274- 2 1.60000+ 1 1.90000+ 1 1.08377- 5 5.31652- 2 1.60000+ 1 2.10000+ 1 7.66279- 7 5.32897- 2 1.60000+ 1 2.20000+ 1 6.56808- 7 5.32966- 2 1.60000+ 1 2.70000+ 1 3.50307- 6 5.34031- 2 1.60000+ 1 2.90000+ 1 1.64209- 6 5.34237- 2 1.60000+ 1 3.00000+ 1 1.31368- 6 5.34287- 2 1.60000+ 1 4.10000+ 1 2.18939- 7 5.34514- 2 1.80000+ 1 1.80000+ 1 9.74847- 7 5.32022- 2 1.80000+ 1 1.90000+ 1 1.85219- 5 5.32401- 2 1.80000+ 1 2.10000+ 1 7.58174- 7 5.33645- 2 1.80000+ 1 2.20000+ 1 2.05795- 6 5.33714- 2 1.80000+ 1 2.70000+ 1 1.94967- 6 5.34779- 2 1.80000+ 1 2.90000+ 1 2.16624- 7 5.34986- 2 1.80000+ 1 3.00000+ 1 2.27451- 6 5.35035- 2 1.80000+ 1 4.10000+ 1 1.08312- 7 5.35263- 2 1.90000+ 1 1.90000+ 1 9.43765- 6 5.32779- 2 1.90000+ 1 2.10000+ 1 2.68118- 6 5.34024- 2 1.90000+ 1 2.20000+ 1 2.25212- 6 5.34092- 2 1.90000+ 1 2.70000+ 1 1.71594- 6 5.35158- 2 1.90000+ 1 2.90000+ 1 2.35944- 6 5.35364- 2 1.90000+ 1 3.00000+ 1 2.35944- 6 5.35413- 2 1.90000+ 1 4.10000+ 1 1.07245- 7 5.35641- 2 2.10000+ 1 2.20000+ 1 3.24944- 7 5.35337- 2 2.10000+ 1 2.70000+ 1 1.08311- 7 5.36403- 2 2.10000+ 1 2.90000+ 1 1.08311- 7 5.36609- 2 2.10000+ 1 3.00000+ 1 3.24944- 7 5.36658- 2 2.20000+ 1 2.20000+ 1 1.16574- 7 5.35405- 2 2.20000+ 1 2.70000+ 1 1.16574- 7 5.36471- 2 2.20000+ 1 2.90000+ 1 2.33148- 7 5.36677- 2 2.20000+ 1 3.00000+ 1 3.49733- 7 5.36727- 2 2.70000+ 1 2.70000+ 1 4.25982- 7 5.37537- 2 2.70000+ 1 2.90000+ 1 2.83979- 7 5.37743- 2 2.70000+ 1 3.00000+ 1 2.83979- 7 5.37792- 2 2.90000+ 1 3.00000+ 1 3.24940- 7 5.37998- 2 3.00000+ 1 3.00000+ 1 1.08310- 7 5.38048- 2 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.90198- 5 4.21800- 4 6.00000+ 0 1.07709- 3 1.23150- 3 1.00000+ 1 2.62327- 2 7.18160- 3 1.10000+ 1 3.65676- 2 7.35040- 3 1.30000+ 1 5.97223- 4 7.67590- 3 1.40000+ 1 8.93960- 4 7.71300- 3 1.80000+ 1 6.23213- 3 8.68312- 3 1.90000+ 1 9.06690- 3 8.72094- 3 2.10000+ 1 8.10551- 5 8.84543- 3 2.20000+ 1 1.25169- 4 8.85226- 3 2.90000+ 1 8.45670- 4 8.97944- 3 3.00000+ 1 1.18769- 3 8.98441- 3 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 4.99517- 2 1.76000- 5 5.00000+ 0 1.80000+ 1 3.75506- 2 9.24200- 5 5.00000+ 0 1.90000+ 1 4.22908- 2 1.30240- 4 5.00000+ 0 2.10000+ 1 1.13405- 2 2.54730- 4 5.00000+ 0 2.20000+ 1 1.70827- 2 2.61560- 4 5.00000+ 0 2.40000+ 1 2.74972- 2 4.11180- 4 5.00000+ 0 2.50000+ 1 1.78477- 2 4.12140- 4 5.00000+ 0 2.70000+ 1 7.65229- 3 3.68130- 4 5.00000+ 0 2.90000+ 1 4.57812- 3 3.88740- 4 5.00000+ 0 3.00000+ 1 4.97159- 3 3.93710- 4 5.00000+ 0 4.10000+ 1 5.84231- 4 4.16450- 4 6.00000+ 0 1.60000+ 1 5.37977- 2 8.27300- 4 6.00000+ 0 1.80000+ 1 2.26448- 2 9.02120- 4 6.00000+ 0 1.90000+ 1 3.88310- 2 9.39940- 4 6.00000+ 0 2.10000+ 1 6.30182- 2 1.06443- 3 6.00000+ 0 2.20000+ 1 7.82813- 2 1.07126- 3 6.00000+ 0 2.40000+ 1 3.90618- 2 1.22088- 3 6.00000+ 0 2.50000+ 1 2.45625- 2 1.22184- 3 6.00000+ 0 2.70000+ 1 8.34780- 3 1.17783- 3 6.00000+ 0 2.90000+ 1 2.84527- 3 1.19844- 3 6.00000+ 0 3.00000+ 1 4.69767- 3 1.20341- 3 6.00000+ 0 4.10000+ 1 6.38125- 4 1.22615- 3 8.00000+ 0 8.00000+ 0 1.14823- 2 4.97610- 3 8.00000+ 0 1.00000+ 1 2.31194- 2 5.16340- 3 8.00000+ 0 1.10000+ 1 4.06212- 2 5.33220- 3 8.00000+ 0 1.30000+ 1 3.16517- 2 5.65770- 3 8.00000+ 0 1.40000+ 1 4.32565- 2 5.69480- 3 8.00000+ 0 1.60000+ 1 4.57521- 3 6.59010- 3 8.00000+ 0 1.80000+ 1 5.12484- 3 6.66492- 3 8.00000+ 0 1.90000+ 1 8.87535- 3 6.70274- 3 8.00000+ 0 2.10000+ 1 5.91886- 3 6.82723- 3 8.00000+ 0 2.20000+ 1 8.01817- 3 6.83406- 3 8.00000+ 0 2.40000+ 1 2.77928- 4 6.98368- 3 8.00000+ 0 2.50000+ 1 1.61658- 4 6.98464- 3 8.00000+ 0 2.70000+ 1 7.20937- 4 6.94063- 3 8.00000+ 0 2.90000+ 1 6.61381- 4 6.96124- 3 8.00000+ 0 3.00000+ 1 1.08740- 3 6.96621- 3 8.00000+ 0 4.10000+ 1 5.50191- 5 6.98895- 3 1.00000+ 1 1.00000+ 1 8.50814- 5 5.35070- 3 1.00000+ 1 1.10000+ 1 6.55125- 4 5.51950- 3 1.00000+ 1 1.30000+ 1 1.19739- 3 5.84500- 3 1.00000+ 1 1.40000+ 1 1.25558- 2 5.88210- 3 1.00000+ 1 1.60000+ 1 3.64895- 3 6.77740- 3 1.00000+ 1 1.80000+ 1 1.58813- 5 6.85222- 3 1.00000+ 1 1.90000+ 1 1.32723- 4 6.89004- 3 1.00000+ 1 2.10000+ 1 2.15544- 4 7.01453- 3 1.00000+ 1 2.20000+ 1 1.50372- 3 7.02136- 3 1.00000+ 1 2.40000+ 1 9.58541- 5 7.17098- 3 1.00000+ 1 2.50000+ 1 1.69033- 4 7.17194- 3 1.00000+ 1 2.70000+ 1 5.45657- 4 7.12793- 3 1.00000+ 1 2.90000+ 1 1.70157- 6 7.14854- 3 1.00000+ 1 3.00000+ 1 1.58813- 5 7.15351- 3 1.00000+ 1 4.10000+ 1 4.14057- 5 7.17625- 3 1.10000+ 1 1.10000+ 1 9.97703- 4 5.68830- 3 1.10000+ 1 1.30000+ 1 6.49189- 3 6.01380- 3 1.10000+ 1 1.40000+ 1 4.21489- 3 6.05090- 3 1.10000+ 1 1.60000+ 1 6.38513- 3 6.94620- 3 1.10000+ 1 1.80000+ 1 1.37268- 4 7.02102- 3 1.10000+ 1 1.90000+ 1 3.23304- 4 7.05884- 3 1.10000+ 1 2.10000+ 1 5.96130- 4 7.18333- 3 1.10000+ 1 2.20000+ 1 3.90238- 4 7.19016- 3 1.10000+ 1 2.40000+ 1 2.51856- 4 7.33978- 3 1.10000+ 1 2.50000+ 1 1.02668- 4 7.34074- 3 1.10000+ 1 2.70000+ 1 9.54055- 4 7.29673- 3 1.10000+ 1 2.90000+ 1 1.75836- 5 7.31734- 3 1.10000+ 1 3.00000+ 1 3.74361- 5 7.32231- 3 1.10000+ 1 4.10000+ 1 7.26041- 5 7.34505- 3 1.30000+ 1 1.30000+ 1 1.85591- 3 6.33930- 3 1.30000+ 1 1.40000+ 1 6.13022- 2 6.37640- 3 1.30000+ 1 1.60000+ 1 4.65745- 3 7.27170- 3 1.30000+ 1 1.80000+ 1 3.34082- 4 7.34652- 3 1.30000+ 1 1.90000+ 1 1.50536- 3 7.38434- 3 1.30000+ 1 2.10000+ 1 6.80665- 4 7.50883- 3 1.30000+ 1 2.20000+ 1 8.08278- 3 7.51566- 3 1.30000+ 1 2.40000+ 1 3.21605- 4 7.66528- 3 1.30000+ 1 2.50000+ 1 4.50363- 4 7.66624- 3 1.30000+ 1 2.70000+ 1 6.88598- 4 7.62223- 3 1.30000+ 1 2.90000+ 1 4.48085- 5 7.64284- 3 1.30000+ 1 3.00000+ 1 1.86046- 4 7.64781- 3 1.30000+ 1 4.10000+ 1 5.21840- 5 7.67055- 3 1.40000+ 1 1.40000+ 1 1.71929- 2 6.41350- 3 1.40000+ 1 1.60000+ 1 6.42702- 3 7.30880- 3 1.40000+ 1 1.80000+ 1 2.50429- 3 7.38362- 3 1.40000+ 1 1.90000+ 1 1.02668- 3 7.42144- 3 1.40000+ 1 2.10000+ 1 7.94826- 3 7.54593- 3 1.40000+ 1 2.20000+ 1 4.77078- 3 7.55276- 3 1.40000+ 1 2.40000+ 1 1.00798- 3 7.70238- 3 1.40000+ 1 2.50000+ 1 3.86261- 4 7.70334- 3 1.40000+ 1 2.70000+ 1 9.52951- 4 7.65933- 3 1.40000+ 1 2.90000+ 1 3.17636- 4 7.67994- 3 1.40000+ 1 3.00000+ 1 1.28190- 4 7.68491- 3 1.40000+ 1 4.10000+ 1 7.26040- 5 7.70765- 3 1.60000+ 1 1.60000+ 1 4.31072- 4 8.20410- 3 1.60000+ 1 1.80000+ 1 8.11686- 4 8.27892- 3 1.60000+ 1 1.90000+ 1 1.39990- 3 8.31674- 3 1.60000+ 1 2.10000+ 1 8.69532- 4 8.44123- 3 1.60000+ 1 2.20000+ 1 1.18545- 3 8.44806- 3 1.60000+ 1 2.40000+ 1 3.34648- 5 8.59768- 3 1.60000+ 1 2.50000+ 1 1.92857- 5 8.59864- 3 1.60000+ 1 2.70000+ 1 1.34434- 4 8.55463- 3 1.60000+ 1 2.90000+ 1 1.04934- 4 8.57524- 3 1.60000+ 1 3.00000+ 1 1.71868- 4 8.58021- 3 1.60000+ 1 4.10000+ 1 1.02101- 5 8.60295- 3 1.80000+ 1 1.80000+ 1 5.67226- 7 8.35374- 3 1.80000+ 1 1.90000+ 1 2.83602- 5 8.39156- 3 1.80000+ 1 2.10000+ 1 5.10493- 5 8.51605- 3 1.80000+ 1 2.20000+ 1 3.10258- 4 8.52288- 3 1.80000+ 1 2.40000+ 1 1.30466- 5 8.67250- 3 1.80000+ 1 2.50000+ 1 2.55246- 5 8.67346- 3 1.80000+ 1 2.70000+ 1 1.21379- 4 8.62945- 3 1.80000+ 1 3.00000+ 1 3.40315- 6 8.65503- 3 1.80000+ 1 4.10000+ 1 9.07530- 6 8.67777- 3 1.90000+ 1 1.90000+ 1 2.55246- 5 8.42938- 3 1.90000+ 1 2.10000+ 1 1.52012- 4 8.55387- 3 1.90000+ 1 2.20000+ 1 1.04934- 4 8.56070- 3 1.90000+ 1 2.40000+ 1 4.36748- 5 8.71032- 3 1.90000+ 1 2.50000+ 1 1.75835- 5 8.71128- 3 1.90000+ 1 2.70000+ 1 2.09301- 4 8.66727- 3 1.90000+ 1 2.90000+ 1 3.40314- 6 8.68788- 3 1.90000+ 1 3.00000+ 1 6.23937- 6 8.69285- 3 1.90000+ 1 4.10000+ 1 1.58813- 5 8.71559- 3 2.10000+ 1 2.10000+ 1 5.84236- 5 8.67836- 3 2.10000+ 1 2.20000+ 1 1.13618- 3 8.68519- 3 2.10000+ 1 2.40000+ 1 4.08399- 5 8.83481- 3 2.10000+ 1 2.50000+ 1 4.48090- 5 8.83577- 3 2.10000+ 1 2.70000+ 1 1.28192- 4 8.79176- 3 2.10000+ 1 2.90000+ 1 6.80672- 6 8.81237- 3 2.10000+ 1 3.00000+ 1 1.92860- 5 8.81734- 3 2.10000+ 1 4.10000+ 1 9.64248- 6 8.84008- 3 2.20000+ 1 2.20000+ 1 3.52814- 4 8.69202- 3 2.20000+ 1 2.40000+ 1 1.03800- 4 8.84164- 3 2.20000+ 1 2.50000+ 1 4.42417- 5 8.84260- 3 2.20000+ 1 2.70000+ 1 1.75268- 4 8.79859- 3 2.20000+ 1 2.90000+ 1 3.97038- 5 8.81920- 3 2.20000+ 1 3.00000+ 1 1.30466- 5 8.82417- 3 2.20000+ 1 4.10000+ 1 1.30466- 5 8.84691- 3 2.40000+ 1 2.40000+ 1 6.18219- 7 8.99126- 3 2.40000+ 1 2.50000+ 1 6.18219- 6 8.99222- 3 2.40000+ 1 2.70000+ 1 4.94575- 6 8.94821- 3 2.40000+ 1 2.90000+ 1 1.85454- 6 8.96882- 3 2.40000+ 1 3.00000+ 1 5.56386- 6 8.97379- 3 2.40000+ 1 4.10000+ 1 6.18219- 7 8.99653- 3 2.50000+ 1 2.50000+ 1 1.13445- 6 8.99318- 3 2.50000+ 1 2.70000+ 1 2.83602- 6 8.94917- 3 2.50000+ 1 2.90000+ 1 2.83602- 6 8.96978- 3 2.50000+ 1 3.00000+ 1 2.26880- 6 8.97475- 3 2.70000+ 1 2.70000+ 1 2.00684- 5 8.90516- 3 2.70000+ 1 2.90000+ 1 3.12157- 5 8.92577- 3 2.70000+ 1 3.00000+ 1 5.01701- 5 8.93074- 3 2.70000+ 1 4.10000+ 1 3.34454- 6 8.95348- 3 2.90000+ 1 3.00000+ 1 2.09465- 6 8.95135- 3 2.90000+ 1 4.10000+ 1 4.18928- 6 8.97409- 3 3.00000+ 1 3.00000+ 1 7.76452- 7 8.95632- 3 3.00000+ 1 4.10000+ 1 2.32921- 6 8.97906- 3 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 7.95775- 7 8.09700- 4 8.00000+ 0 5.44567- 3 6.57250- 3 1.10000+ 1 1.19509- 4 6.92860- 3 1.30000+ 1 1.60749- 1 7.25410- 3 1.60000+ 1 1.11119- 3 8.18650- 3 1.90000+ 1 2.72118- 5 8.29914- 3 2.10000+ 1 2.81968- 2 8.42363- 3 2.40000+ 1 3.04788- 5 8.58008- 3 2.70000+ 1 1.94439- 4 8.53703- 3 3.00000+ 1 6.10736- 6 8.56261- 3 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 8.40595- 3 4.05500- 4 6.00000+ 0 1.80000+ 1 4.66122- 2 4.80320- 4 6.00000+ 0 1.90000+ 1 1.50262- 2 5.18140- 4 6.00000+ 0 2.10000+ 1 5.64083- 2 6.42630- 4 6.00000+ 0 2.20000+ 1 2.01929- 2 6.49460- 4 6.00000+ 0 2.40000+ 1 1.29586- 3 7.99080- 4 6.00000+ 0 2.50000+ 1 9.85055- 4 8.00040- 4 6.00000+ 0 2.70000+ 1 1.23678- 3 7.56030- 4 6.00000+ 0 2.90000+ 1 5.66129- 3 7.76640- 4 6.00000+ 0 3.00000+ 1 1.82070- 3 7.81610- 4 6.00000+ 0 4.10000+ 1 9.38750- 5 8.04350- 4 8.00000+ 0 8.00000+ 0 8.32780- 4 4.55430- 3 8.00000+ 0 1.00000+ 1 2.32913- 2 4.74160- 3 8.00000+ 0 1.10000+ 1 2.25866- 3 4.91040- 3 8.00000+ 0 1.30000+ 1 2.45142- 3 5.23590- 3 8.00000+ 0 1.40000+ 1 2.80284- 3 5.27300- 3 8.00000+ 0 1.60000+ 1 3.05084- 4 6.16830- 3 8.00000+ 0 1.80000+ 1 3.45912- 3 6.24312- 3 8.00000+ 0 1.90000+ 1 4.38799- 4 6.28094- 3 8.00000+ 0 2.10000+ 1 3.27142- 4 6.40543- 3 8.00000+ 0 2.20000+ 1 3.17897- 4 6.41226- 3 8.00000+ 0 2.40000+ 1 7.11192- 5 6.56188- 3 8.00000+ 0 2.50000+ 1 2.27571- 5 6.56284- 3 8.00000+ 0 2.70000+ 1 4.69376- 5 6.51883- 3 8.00000+ 0 2.90000+ 1 4.16742- 4 6.53944- 3 8.00000+ 0 3.00000+ 1 5.26283- 5 6.54441- 3 8.00000+ 0 4.10000+ 1 3.55590- 6 6.56715- 3 1.00000+ 1 1.00000+ 1 2.35267- 2 4.92890- 3 1.00000+ 1 1.10000+ 1 6.84390- 2 5.09770- 3 1.00000+ 1 1.30000+ 1 3.65417- 2 5.42320- 3 1.00000+ 1 1.40000+ 1 5.85886- 2 5.46030- 3 1.00000+ 1 1.60000+ 1 5.58646- 3 6.35560- 3 1.00000+ 1 1.80000+ 1 8.85364- 3 6.43042- 3 1.00000+ 1 1.90000+ 1 1.46996- 2 6.46824- 3 1.00000+ 1 2.10000+ 1 6.82535- 3 6.59273- 3 1.00000+ 1 2.20000+ 1 1.09029- 2 6.59956- 3 1.00000+ 1 2.40000+ 1 3.11492- 4 6.74918- 3 1.00000+ 1 2.50000+ 1 1.45796- 4 6.75014- 3 1.00000+ 1 2.70000+ 1 9.05386- 4 6.70613- 3 1.00000+ 1 2.90000+ 1 1.11650- 3 6.72674- 3 1.00000+ 1 3.00000+ 1 1.79579- 3 6.73171- 3 1.00000+ 1 4.10000+ 1 6.96961- 5 6.75445- 3 1.10000+ 1 1.10000+ 1 1.72317- 3 5.26650- 3 1.10000+ 1 1.30000+ 1 3.98215- 2 5.59200- 3 1.10000+ 1 1.40000+ 1 5.47688- 3 5.62910- 3 1.10000+ 1 1.60000+ 1 4.60859- 4 6.52440- 3 1.10000+ 1 1.80000+ 1 1.05006- 2 6.59922- 3 1.10000+ 1 1.90000+ 1 6.27974- 4 6.63704- 3 1.10000+ 1 2.10000+ 1 6.28961- 3 6.76153- 3 1.10000+ 1 2.20000+ 1 8.17833- 4 6.76836- 3 1.10000+ 1 2.40000+ 1 1.75664- 4 6.91798- 3 1.10000+ 1 2.50000+ 1 4.90709- 5 6.91894- 3 1.10000+ 1 2.70000+ 1 7.25409- 5 6.87493- 3 1.10000+ 1 2.90000+ 1 1.27164- 3 6.89554- 3 1.10000+ 1 3.00000+ 1 7.46739- 5 6.90051- 3 1.10000+ 1 4.10000+ 1 5.68959- 6 6.92325- 3 1.30000+ 1 1.30000+ 1 3.70732- 2 5.91750- 3 1.30000+ 1 1.40000+ 1 1.54317- 1 5.95460- 3 1.30000+ 1 1.60000+ 1 5.90262- 4 6.84990- 3 1.30000+ 1 1.80000+ 1 5.54857- 3 6.92472- 3 1.30000+ 1 1.90000+ 1 8.02201- 3 6.96254- 3 1.30000+ 1 2.10000+ 1 1.16484- 2 7.08703- 3 1.30000+ 1 2.20000+ 1 2.60367- 2 7.09386- 3 1.30000+ 1 2.40000+ 1 1.22814- 3 7.24348- 3 1.30000+ 1 2.50000+ 1 1.25657- 3 7.24444- 3 1.30000+ 1 2.70000+ 1 9.60081- 5 7.20043- 3 1.30000+ 1 2.90000+ 1 6.74890- 4 7.22104- 3 1.30000+ 1 3.00000+ 1 9.69325- 4 7.22601- 3 1.30000+ 1 4.10000+ 1 7.11172- 6 7.24875- 3 1.40000+ 1 1.40000+ 1 7.40837- 3 5.99170- 3 1.40000+ 1 1.60000+ 1 5.52600- 4 6.88700- 3 1.40000+ 1 1.80000+ 1 7.88219- 3 6.96182- 3 1.40000+ 1 1.90000+ 1 1.00984- 3 6.99964- 3 1.40000+ 1 2.10000+ 1 2.01795- 2 7.12413- 3 1.40000+ 1 2.20000+ 1 2.26868- 3 7.13096- 3 1.40000+ 1 2.40000+ 1 4.98556- 4 7.28058- 3 1.40000+ 1 2.50000+ 1 9.67276- 5 7.28154- 3 1.40000+ 1 2.70000+ 1 8.60521- 5 7.23753- 3 1.40000+ 1 2.90000+ 1 9.31658- 4 7.25814- 3 1.40000+ 1 3.00000+ 1 1.20188- 4 7.26311- 3 1.40000+ 1 4.10000+ 1 6.40075- 6 7.28585- 3 1.60000+ 1 1.60000+ 1 2.70261- 5 7.78230- 3 1.60000+ 1 1.80000+ 1 8.34242- 4 7.85712- 3 1.60000+ 1 1.90000+ 1 9.03222- 5 7.89494- 3 1.60000+ 1 2.10000+ 1 7.60970- 5 8.01943- 3 1.60000+ 1 2.20000+ 1 6.40085- 5 8.02626- 3 1.60000+ 1 2.40000+ 1 1.49345- 5 8.17588- 3 1.60000+ 1 2.50000+ 1 4.26713- 6 8.17684- 3 1.60000+ 1 2.70000+ 1 8.53457- 6 8.13283- 3 1.60000+ 1 2.90000+ 1 1.00281- 4 8.15344- 3 1.60000+ 1 3.00000+ 1 1.06681- 5 8.15841- 3 1.60000+ 1 4.10000+ 1 7.11210- 7 8.18115- 3 1.80000+ 1 1.80000+ 1 7.93665- 4 7.93194- 3 1.80000+ 1 1.90000+ 1 2.25864- 3 7.96976- 3 1.80000+ 1 2.10000+ 1 1.01909- 3 8.09425- 3 1.80000+ 1 2.20000+ 1 1.47918- 3 8.10108- 3 1.80000+ 1 2.40000+ 1 3.84034- 5 8.25070- 3 1.80000+ 1 2.50000+ 1 1.49340- 5 8.25166- 3 1.80000+ 1 2.70000+ 1 1.35125- 4 8.20765- 3 1.80000+ 1 2.90000+ 1 1.98414- 4 8.22826- 3 1.80000+ 1 3.00000+ 1 2.75947- 4 8.23323- 3 1.80000+ 1 4.10000+ 1 1.06677- 5 8.25597- 3 1.90000+ 1 1.90000+ 1 5.79398- 5 8.00758- 3 1.90000+ 1 2.10000+ 1 1.28536- 3 8.13207- 3 1.90000+ 1 2.20000+ 1 1.55222- 4 8.13890- 3 1.90000+ 1 2.40000+ 1 2.86099- 5 8.28852- 3 1.90000+ 1 2.50000+ 1 7.15296- 6 8.28948- 3 1.90000+ 1 2.70000+ 1 1.43055- 5 8.24547- 3 1.90000+ 1 2.90000+ 1 2.75383- 4 8.26608- 3 1.90000+ 1 3.00000+ 1 1.35906- 5 8.27105- 3 1.90000+ 1 4.10000+ 1 1.43055- 6 8.29379- 3 2.10000+ 1 2.10000+ 1 9.03913- 4 8.25656- 3 2.10000+ 1 2.20000+ 1 3.53019- 3 8.26339- 3 2.10000+ 1 2.40000+ 1 1.33706- 4 8.41301- 3 2.10000+ 1 2.50000+ 1 1.38675- 4 8.41397- 3 2.10000+ 1 2.70000+ 1 1.20892- 5 8.36996- 3 2.10000+ 1 2.90000+ 1 1.23755- 4 8.39057- 3 2.10000+ 1 3.00000+ 1 1.54331- 4 8.39554- 3 2.10000+ 1 4.10000+ 1 7.11190- 7 8.41828- 3 2.20000+ 1 2.20000+ 1 2.51384- 4 8.27022- 3 2.20000+ 1 2.40000+ 1 8.37981- 5 8.41984- 3 2.20000+ 1 2.50000+ 1 1.63514- 5 8.42080- 3 2.20000+ 1 2.70000+ 1 1.43064- 5 8.37679- 3 2.20000+ 1 2.90000+ 1 2.51384- 4 8.39740- 3 2.20000+ 1 3.00000+ 1 2.65695- 5 8.40237- 3 2.20000+ 1 4.10000+ 1 1.02192- 6 8.42511- 3 2.40000+ 1 2.40000+ 1 1.98620- 6 8.56946- 3 2.40000+ 1 2.50000+ 1 7.94510- 6 8.57042- 3 2.40000+ 1 2.70000+ 1 2.97937- 6 8.52641- 3 2.40000+ 1 2.90000+ 1 5.95861- 6 8.54702- 3 2.40000+ 1 3.00000+ 1 4.96558- 6 8.55199- 3 2.50000+ 1 2.50000+ 1 8.87966- 7 8.57138- 3 2.50000+ 1 2.70000+ 1 8.87966- 7 8.52737- 3 2.50000+ 1 2.90000+ 1 1.77588- 6 8.54798- 3 2.50000+ 1 3.00000+ 1 8.87966- 7 8.55295- 3 2.70000+ 1 2.70000+ 1 1.29883- 6 8.48336- 3 2.70000+ 1 2.90000+ 1 2.98734- 5 8.50397- 3 2.70000+ 1 3.00000+ 1 2.59758- 6 8.50894- 3 2.90000+ 1 2.90000+ 1 2.49380- 5 8.52458- 3 2.90000+ 1 3.00000+ 1 6.89495- 5 8.52955- 3 2.90000+ 1 4.10000+ 1 2.93403- 6 8.55229- 3 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.01080- 2 5.76280- 3 1.00000+ 1 7.11822- 5 5.95010- 3 1.10000+ 1 6.51122- 5 6.11890- 3 1.30000+ 1 1.47800- 2 6.44440- 3 1.40000+ 1 1.30640- 1 6.48150- 3 1.60000+ 1 1.44450- 3 7.37680- 3 1.80000+ 1 1.19880- 5 7.45162- 3 1.90000+ 1 1.16170- 5 7.48944- 3 2.10000+ 1 2.47241- 3 7.61393- 3 2.20000+ 1 2.21091- 2 7.62076- 3 2.40000+ 1 4.32911- 6 7.77038- 3 2.50000+ 1 2.45611- 5 7.77134- 3 2.70000+ 1 2.72991- 4 7.72733- 3 2.90000+ 1 2.78571- 6 7.74794- 3 3.00000+ 1 2.36511- 6 7.75291- 3 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.11278- 3 3.74460- 3 8.00000+ 0 1.00000+ 1 6.91115- 4 3.93190- 3 8.00000+ 0 1.10000+ 1 2.58124- 2 4.10070- 3 8.00000+ 0 1.30000+ 1 2.69216- 3 4.42620- 3 8.00000+ 0 1.40000+ 1 3.45632- 3 4.46330- 3 8.00000+ 0 1.60000+ 1 4.08338- 4 5.35860- 3 8.00000+ 0 1.80000+ 1 1.21834- 4 5.43342- 3 8.00000+ 0 1.90000+ 1 3.79684- 3 5.47124- 3 8.00000+ 0 2.10000+ 1 2.49571- 4 5.59573- 3 8.00000+ 0 2.20000+ 1 2.87971- 4 5.60256- 3 8.00000+ 0 2.40000+ 1 1.03371- 4 5.75218- 3 8.00000+ 0 2.50000+ 1 9.37785- 5 5.75314- 3 8.00000+ 0 2.70000+ 1 6.27629- 5 5.70913- 3 8.00000+ 0 2.90000+ 1 1.47675- 5 5.72974- 3 8.00000+ 0 3.00000+ 1 4.34900- 4 5.73471- 3 8.00000+ 0 4.10000+ 1 5.16857- 6 5.75745- 3 1.00000+ 1 1.00000+ 1 1.80162- 4 4.11920- 3 1.00000+ 1 1.10000+ 1 4.32435- 2 4.28800- 3 1.00000+ 1 1.30000+ 1 2.52605- 3 4.61350- 3 1.00000+ 1 1.40000+ 1 2.25793- 2 4.65060- 3 1.00000+ 1 1.60000+ 1 1.36596- 4 5.54590- 3 1.00000+ 1 1.80000+ 1 6.64557- 5 5.62072- 3 1.00000+ 1 1.90000+ 1 6.59816- 3 5.65854- 3 1.00000+ 1 2.10000+ 1 4.31951- 4 5.78303- 3 1.00000+ 1 2.20000+ 1 3.25766- 3 5.78986- 3 1.00000+ 1 2.40000+ 1 1.12967- 4 5.93948- 3 1.00000+ 1 2.50000+ 1 1.49891- 4 5.94044- 3 1.00000+ 1 2.70000+ 1 2.14134- 5 5.89643- 3 1.00000+ 1 2.90000+ 1 8.12226- 6 5.91704- 3 1.00000+ 1 3.00000+ 1 7.60540- 4 5.92201- 3 1.00000+ 1 4.10000+ 1 1.47676- 6 5.94475- 3 1.10000+ 1 1.10000+ 1 5.83995- 2 4.45680- 3 1.10000+ 1 1.30000+ 1 6.03935- 2 4.78230- 3 1.10000+ 1 1.40000+ 1 8.76713- 2 4.81940- 3 1.10000+ 1 1.60000+ 1 6.11831- 3 5.71470- 3 1.10000+ 1 1.80000+ 1 9.12445- 3 5.78952- 3 1.10000+ 1 1.90000+ 1 2.13689- 2 5.82734- 3 1.10000+ 1 2.10000+ 1 1.07578- 2 5.95183- 3 1.10000+ 1 2.20000+ 1 1.53551- 2 5.95866- 3 1.10000+ 1 2.40000+ 1 5.04324- 4 6.10828- 3 1.10000+ 1 2.50000+ 1 3.23402- 4 6.10924- 3 1.10000+ 1 2.70000+ 1 9.89468- 4 6.06523- 3 1.10000+ 1 2.90000+ 1 1.16890- 3 6.08584- 3 1.10000+ 1 3.00000+ 1 2.54972- 3 6.09081- 3 1.10000+ 1 4.10000+ 1 7.60541- 5 6.11355- 3 1.30000+ 1 1.30000+ 1 8.70821- 3 5.10780- 3 1.30000+ 1 1.40000+ 1 1.65065- 1 5.14490- 3 1.30000+ 1 1.60000+ 1 6.07670- 4 6.04020- 3 1.30000+ 1 1.80000+ 1 5.36794- 4 6.11502- 3 1.30000+ 1 1.90000+ 1 8.51520- 3 6.15284- 3 1.30000+ 1 2.10000+ 1 2.70610- 3 6.27733- 3 1.30000+ 1 2.20000+ 1 2.16529- 2 6.28416- 3 1.30000+ 1 2.40000+ 1 2.86505- 4 6.43378- 3 1.30000+ 1 2.50000+ 1 4.89556- 4 6.43474- 3 1.30000+ 1 2.70000+ 1 9.74656- 5 6.39073- 3 1.30000+ 1 2.90000+ 1 6.86695- 5 6.41134- 3 1.30000+ 1 3.00000+ 1 9.68773- 4 6.41631- 3 1.30000+ 1 4.10000+ 1 7.38391- 6 6.43905- 3 1.40000+ 1 1.40000+ 1 1.11212- 1 5.18200- 3 1.40000+ 1 1.60000+ 1 8.21074- 4 6.07730- 3 1.40000+ 1 1.80000+ 1 4.38794- 3 6.15212- 3 1.40000+ 1 1.90000+ 1 1.39258- 2 6.18994- 3 1.40000+ 1 2.10000+ 1 2.59499- 2 6.31443- 3 1.40000+ 1 2.20000+ 1 3.29846- 2 6.32126- 3 1.40000+ 1 2.40000+ 1 3.05076- 3 6.47088- 3 1.40000+ 1 2.50000+ 1 1.39470- 3 6.47184- 3 1.40000+ 1 2.70000+ 1 1.33646- 4 6.42783- 3 1.40000+ 1 2.90000+ 1 5.54495- 4 6.44844- 3 1.40000+ 1 3.00000+ 1 1.62512- 3 6.45341- 3 1.40000+ 1 4.10000+ 1 1.03367- 5 6.47615- 3 1.60000+ 1 1.60000+ 1 3.76571- 5 6.97260- 3 1.60000+ 1 1.80000+ 1 2.43673- 5 7.04742- 3 1.60000+ 1 1.90000+ 1 9.00857- 4 7.08524- 3 1.60000+ 1 2.10000+ 1 6.12876- 5 7.20973- 3 1.60000+ 1 2.20000+ 1 7.45795- 5 7.21656- 3 1.60000+ 1 2.40000+ 1 1.47680- 5 7.36618- 3 1.60000+ 1 2.50000+ 1 1.55071- 5 7.36714- 3 1.60000+ 1 2.70000+ 1 1.18146- 5 7.32313- 3 1.60000+ 1 2.90000+ 1 2.95350- 6 7.34374- 3 1.60000+ 1 3.00000+ 1 1.03374- 4 7.34871- 3 1.60000+ 1 4.10000+ 1 7.38414- 7 7.37145- 3 1.80000+ 1 1.80000+ 1 5.16860- 6 7.12224- 3 1.80000+ 1 1.90000+ 1 1.38739- 3 7.16006- 3 1.80000+ 1 2.10000+ 1 8.86035- 5 7.28455- 3 1.80000+ 1 2.20000+ 1 6.59372- 4 7.29138- 3 1.80000+ 1 2.40000+ 1 1.62449- 5 7.44100- 3 1.80000+ 1 2.50000+ 1 2.06744- 5 7.44196- 3 1.80000+ 1 2.70000+ 1 3.69192- 6 7.39795- 3 1.80000+ 1 2.90000+ 1 1.47676- 6 7.41856- 3 1.80000+ 1 3.00000+ 1 1.59486- 4 7.42353- 3 1.90000+ 1 1.90000+ 1 1.80381- 3 7.19788- 3 1.90000+ 1 2.10000+ 1 1.45815- 3 7.32237- 3 1.90000+ 1 2.20000+ 1 2.30694- 3 7.32920- 3 1.90000+ 1 2.40000+ 1 5.66817- 5 7.47882- 3 1.90000+ 1 2.50000+ 1 3.82601- 5 7.47978- 3 1.90000+ 1 2.70000+ 1 1.39576- 4 7.43577- 3 1.90000+ 1 2.90000+ 1 1.70747- 4 7.45638- 3 1.90000+ 1 3.00000+ 1 4.27229- 4 7.46135- 3 1.90000+ 1 4.10000+ 1 1.06271- 5 7.48409- 3 2.10000+ 1 2.10000+ 1 2.03799- 4 7.44686- 3 2.10000+ 1 2.20000+ 1 3.52790- 3 7.45369- 3 2.10000+ 1 2.40000+ 1 3.10113- 5 7.60331- 3 2.10000+ 1 2.50000+ 1 5.02084- 5 7.60427- 3 2.10000+ 1 2.70000+ 1 9.59866- 6 7.56026- 3 2.10000+ 1 2.90000+ 1 1.10752- 5 7.58087- 3 2.10000+ 1 3.00000+ 1 1.72780- 4 7.58584- 3 2.10000+ 1 4.10000+ 1 7.38391- 7 7.60858- 3 2.20000+ 1 2.20000+ 1 2.79609- 3 7.46052- 3 2.20000+ 1 2.40000+ 1 3.62224- 4 7.61014- 3 2.20000+ 1 2.50000+ 1 1.63885- 4 7.61110- 3 2.20000+ 1 2.70000+ 1 1.42871- 5 7.56709- 3 2.20000+ 1 2.90000+ 1 9.49662- 5 7.58770- 3 2.20000+ 1 3.00000+ 1 3.18517- 4 7.59267- 3 2.20000+ 1 4.10000+ 1 8.40441- 7 7.61541- 3 2.40000+ 1 2.40000+ 1 9.98578- 7 7.75976- 3 2.40000+ 1 2.50000+ 1 1.29809- 5 7.76072- 3 2.40000+ 1 2.70000+ 1 2.99568- 6 7.71671- 3 2.40000+ 1 2.90000+ 1 2.99568- 6 7.73732- 3 2.40000+ 1 3.00000+ 1 8.98721- 6 7.74229- 3 2.50000+ 1 2.50000+ 1 2.95321- 6 7.76168- 3 2.50000+ 1 2.70000+ 1 2.21498- 6 7.71767- 3 2.50000+ 1 2.90000+ 1 2.21498- 6 7.73828- 3 2.50000+ 1 3.00000+ 1 4.42987- 6 7.74325- 3 2.70000+ 1 2.70000+ 1 1.28638- 6 7.67366- 3 2.70000+ 1 2.90000+ 1 1.28638- 6 7.69427- 3 2.70000+ 1 3.00000+ 1 2.95863- 5 7.69924- 3 2.90000+ 1 3.00000+ 1 5.41762- 5 7.71985- 3 3.00000+ 1 3.00000+ 1 1.05367- 4 7.72482- 3 3.00000+ 1 4.10000+ 1 5.85365- 6 7.74756- 3 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 9.99615- 6 1.87300- 4 1.10000+ 1 1.39204- 4 3.56100- 4 1.80000+ 1 5.26512- 4 1.68882- 3 1.90000+ 1 5.92620- 4 1.72664- 3 2.90000+ 1 1.20981- 4 1.98514- 3 3.00000+ 1 1.26889- 4 1.99011- 3 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 6.74933- 2 2.02300- 5 1.00000+ 1 2.20000+ 1 9.89692- 2 2.70600- 5 1.00000+ 1 2.40000+ 1 2.86201- 2 1.76680- 4 1.00000+ 1 2.50000+ 1 3.81094- 2 1.77640- 4 1.00000+ 1 2.70000+ 1 8.22137- 3 1.33630- 4 1.00000+ 1 2.90000+ 1 6.86413- 3 1.54240- 4 1.00000+ 1 3.00000+ 1 1.02755- 2 1.59210- 4 1.00000+ 1 4.10000+ 1 6.20347- 4 1.81950- 4 1.10000+ 1 1.80000+ 1 6.76722- 2 2.67200- 5 1.10000+ 1 1.90000+ 1 9.05467- 2 6.45400- 5 1.10000+ 1 2.10000+ 1 3.93001- 2 1.89030- 4 1.10000+ 1 2.20000+ 1 5.65091- 2 1.95860- 4 1.10000+ 1 2.40000+ 1 8.38256- 2 3.45480- 4 1.10000+ 1 2.50000+ 1 1.04767- 1 3.46440- 4 1.10000+ 1 2.70000+ 1 9.70733- 3 3.02430- 4 1.10000+ 1 2.90000+ 1 8.15248- 3 3.23040- 4 1.10000+ 1 3.00000+ 1 1.07639- 2 3.28010- 4 1.10000+ 1 4.10000+ 1 7.33442- 4 3.50750- 4 1.30000+ 1 1.60000+ 1 2.54494- 2 2.77400- 4 1.30000+ 1 1.80000+ 1 5.63843- 3 3.52220- 4 1.30000+ 1 1.90000+ 1 5.05883- 3 3.90040- 4 1.30000+ 1 2.10000+ 1 8.26069- 3 5.14530- 4 1.30000+ 1 2.20000+ 1 1.03648- 2 5.21360- 4 1.30000+ 1 2.40000+ 1 4.24216- 3 6.70980- 4 1.30000+ 1 2.50000+ 1 4.00585- 3 6.71940- 4 1.30000+ 1 2.70000+ 1 2.76038- 3 6.27930- 4 1.30000+ 1 2.90000+ 1 5.70866- 4 6.48540- 4 1.30000+ 1 3.00000+ 1 4.79891- 4 6.53510- 4 1.30000+ 1 4.10000+ 1 2.01999- 4 6.76250- 4 1.40000+ 1 1.60000+ 1 3.66036- 2 3.14500- 4 1.40000+ 1 1.80000+ 1 1.17013- 3 3.89320- 4 1.40000+ 1 1.90000+ 1 1.08098- 2 4.27140- 4 1.40000+ 1 2.10000+ 1 1.12238- 2 5.51630- 4 1.40000+ 1 2.20000+ 1 1.68288- 2 5.58460- 4 1.40000+ 1 2.40000+ 1 4.88328- 3 7.08080- 4 1.40000+ 1 2.50000+ 1 7.55518- 3 7.09040- 4 1.40000+ 1 2.70000+ 1 3.93418- 3 6.65030- 4 1.40000+ 1 2.90000+ 1 1.19074- 4 6.85640- 4 1.40000+ 1 3.00000+ 1 1.02390- 3 6.90610- 4 1.40000+ 1 4.10000+ 1 2.87903- 4 7.13350- 4 1.60000+ 1 1.60000+ 1 4.64470- 3 1.20980- 3 1.60000+ 1 1.80000+ 1 7.83262- 3 1.28462- 3 1.60000+ 1 1.90000+ 1 1.38485- 2 1.32244- 3 1.60000+ 1 2.10000+ 1 1.50032- 2 1.44693- 3 1.60000+ 1 2.20000+ 1 2.15662- 2 1.45376- 3 1.60000+ 1 2.40000+ 1 4.93364- 3 1.60338- 3 1.60000+ 1 2.50000+ 1 6.22467- 3 1.60434- 3 1.60000+ 1 2.70000+ 1 1.24380- 3 1.56033- 3 1.60000+ 1 2.90000+ 1 1.00529- 3 1.58094- 3 1.60000+ 1 3.00000+ 1 1.68737- 3 1.58591- 3 1.60000+ 1 4.10000+ 1 9.40328- 5 1.60865- 3 1.80000+ 1 1.80000+ 1 3.86583- 4 1.35944- 3 1.80000+ 1 1.90000+ 1 9.98881- 4 1.39726- 3 1.80000+ 1 2.10000+ 1 5.77876- 4 1.52175- 3 1.80000+ 1 2.20000+ 1 3.06150- 4 1.52858- 3 1.80000+ 1 2.40000+ 1 7.44341- 5 1.67820- 3 1.80000+ 1 2.50000+ 1 3.40571- 4 1.67916- 3 1.80000+ 1 2.70000+ 1 8.21602- 4 1.63515- 3 1.80000+ 1 2.90000+ 1 7.88380- 5 1.65576- 3 1.80000+ 1 3.00000+ 1 9.52418- 5 1.66073- 3 1.80000+ 1 4.10000+ 1 6.00283- 5 1.68347- 3 1.90000+ 1 1.90000+ 1 1.30101- 3 1.43508- 3 1.90000+ 1 2.10000+ 1 8.41186- 4 1.55957- 3 1.90000+ 1 2.20000+ 1 2.06055- 3 1.56640- 3 1.90000+ 1 2.40000+ 1 3.57757- 4 1.71602- 3 1.90000+ 1 2.50000+ 1 6.69526- 4 1.71698- 3 1.90000+ 1 2.70000+ 1 1.45745- 3 1.67297- 3 1.90000+ 1 2.90000+ 1 1.08049- 4 1.69358- 3 1.90000+ 1 3.00000+ 1 2.67730- 4 1.69855- 3 1.90000+ 1 4.10000+ 1 1.06850- 4 1.72129- 3 2.10000+ 1 2.10000+ 1 1.72481- 4 1.68406- 3 2.10000+ 1 2.20000+ 1 8.28370- 4 1.69089- 3 2.10000+ 1 2.40000+ 1 3.35775- 4 1.84051- 3 2.10000+ 1 2.50000+ 1 2.50294- 3 1.84147- 3 2.10000+ 1 2.70000+ 1 1.55348- 3 1.79746- 3 2.10000+ 1 2.90000+ 1 5.36234- 5 1.81807- 3 2.10000+ 1 3.00000+ 1 8.16381- 5 1.82304- 3 2.10000+ 1 4.10000+ 1 1.13252- 4 1.84578- 3 2.20000+ 1 2.20000+ 1 4.63422- 4 1.69772- 3 2.20000+ 1 2.40000+ 1 2.49239- 3 1.84734- 3 2.20000+ 1 2.50000+ 1 1.41185- 3 1.84830- 3 2.20000+ 1 2.70000+ 1 2.23028- 3 1.80429- 3 2.20000+ 1 2.90000+ 1 3.00130- 5 1.82490- 3 2.20000+ 1 3.00000+ 1 1.99292- 4 1.82987- 3 2.20000+ 1 4.10000+ 1 1.62482- 4 1.85261- 3 2.40000+ 1 2.40000+ 1 1.96084- 4 1.99696- 3 2.40000+ 1 2.50000+ 1 1.60761- 3 1.99792- 3 2.40000+ 1 2.70000+ 1 4.72614- 4 1.95391- 3 2.40000+ 1 2.90000+ 1 6.80292- 6 1.97452- 3 2.40000+ 1 3.00000+ 1 3.04152- 5 1.97949- 3 2.40000+ 1 4.10000+ 1 3.40171- 5 2.00223- 3 2.50000+ 1 2.50000+ 1 4.99564- 4 1.99888- 3 2.50000+ 1 2.70000+ 1 6.08820- 4 1.95487- 3 2.50000+ 1 2.90000+ 1 4.09158- 5 1.97548- 3 2.50000+ 1 3.00000+ 1 5.72784- 5 1.98045- 3 2.50000+ 1 4.10000+ 1 4.41898- 5 2.00319- 3 2.70000+ 1 2.70000+ 1 1.13482- 4 1.91086- 3 2.70000+ 1 2.90000+ 1 1.55012- 4 1.93147- 3 2.70000+ 1 3.00000+ 1 2.59729- 4 1.93644- 3 2.70000+ 1 4.10000+ 1 1.69634- 5 1.95918- 3 2.90000+ 1 2.90000+ 1 6.65255- 6 1.95208- 3 2.90000+ 1 3.00000+ 1 1.66311- 5 1.95705- 3 2.90000+ 1 4.10000+ 1 1.26394- 5 1.97979- 3 3.00000+ 1 3.00000+ 1 2.81423- 5 1.96202- 3 3.00000+ 1 4.10000+ 1 2.64863- 5 1.98476- 3 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 5.36645- 4 4.94300- 4 1.60000+ 1 4.55005- 4 1.42670- 3 2.10000+ 1 2.27572- 3 1.66383- 3 2.70000+ 1 8.28598- 5 1.77723- 3 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.12045- 2 1.73000- 6 1.10000+ 1 2.20000+ 1 2.73876- 2 8.56000- 6 1.10000+ 1 2.40000+ 1 2.11348- 2 1.58180- 4 1.10000+ 1 2.50000+ 1 2.29393- 2 1.59140- 4 1.10000+ 1 2.70000+ 1 4.44900- 3 1.15130- 4 1.10000+ 1 2.90000+ 1 4.52247- 3 1.35740- 4 1.10000+ 1 3.00000+ 1 4.47361- 3 1.40710- 4 1.10000+ 1 4.10000+ 1 3.20470- 4 1.63450- 4 1.30000+ 1 1.60000+ 1 7.26379- 2 9.01000- 5 1.30000+ 1 1.80000+ 1 7.25669- 2 1.64920- 4 1.30000+ 1 1.90000+ 1 9.19743- 2 2.02740- 4 1.30000+ 1 2.10000+ 1 3.11707- 2 3.27230- 4 1.30000+ 1 2.20000+ 1 3.56394- 2 3.34060- 4 1.30000+ 1 2.40000+ 1 1.00644- 1 4.83680- 4 1.30000+ 1 2.50000+ 1 1.51168- 1 4.84640- 4 1.30000+ 1 2.70000+ 1 1.16814- 2 4.40630- 4 1.30000+ 1 2.90000+ 1 8.09702- 3 4.61240- 4 1.30000+ 1 3.00000+ 1 1.07699- 2 4.66210- 4 1.30000+ 1 4.10000+ 1 8.92294- 4 4.88950- 4 1.40000+ 1 1.60000+ 1 1.21864- 2 1.27200- 4 1.40000+ 1 1.80000+ 1 8.36298- 2 2.02020- 4 1.40000+ 1 1.90000+ 1 7.97901- 3 2.39840- 4 1.40000+ 1 2.10000+ 1 1.33626- 3 3.64330- 4 1.40000+ 1 2.20000+ 1 4.12126- 3 3.71160- 4 1.40000+ 1 2.40000+ 1 3.12623- 3 5.20780- 4 1.40000+ 1 2.50000+ 1 2.48604- 3 5.21740- 4 1.40000+ 1 2.70000+ 1 1.30597- 3 4.77730- 4 1.40000+ 1 2.90000+ 1 7.55266- 3 4.98340- 4 1.40000+ 1 3.00000+ 1 8.55257- 4 5.03310- 4 1.40000+ 1 4.10000+ 1 9.58155- 5 5.26050- 4 1.60000+ 1 1.60000+ 1 8.66759- 4 1.02250- 3 1.60000+ 1 1.80000+ 1 1.20418- 2 1.09732- 3 1.60000+ 1 1.90000+ 1 1.88064- 3 1.13514- 3 1.60000+ 1 2.10000+ 1 3.91483- 4 1.25963- 3 1.60000+ 1 2.20000+ 1 1.38490- 3 1.26646- 3 1.60000+ 1 2.40000+ 1 5.05317- 5 1.41608- 3 1.60000+ 1 2.50000+ 1 4.88078- 4 1.41704- 3 1.60000+ 1 2.70000+ 1 2.19400- 4 1.37303- 3 1.60000+ 1 2.90000+ 1 1.04523- 3 1.39364- 3 1.60000+ 1 3.00000+ 1 2.07256- 4 1.39861- 3 1.60000+ 1 4.10000+ 1 1.66317- 5 1.42135- 3 1.80000+ 1 1.80000+ 1 9.07120- 3 1.17214- 3 1.80000+ 1 1.90000+ 1 2.71728- 2 1.20996- 3 1.80000+ 1 2.10000+ 1 2.55763- 2 1.33445- 3 1.80000+ 1 2.20000+ 1 4.18872- 2 1.34128- 3 1.80000+ 1 2.40000+ 1 6.97514- 3 1.49090- 3 1.80000+ 1 2.50000+ 1 1.19839- 2 1.49186- 3 1.80000+ 1 2.70000+ 1 1.95368- 3 1.44785- 3 1.80000+ 1 2.90000+ 1 1.97771- 3 1.46846- 3 1.80000+ 1 3.00000+ 1 3.28691- 3 1.47343- 3 1.80000+ 1 4.10000+ 1 1.50081- 4 1.49617- 3 1.90000+ 1 1.90000+ 1 7.82844- 4 1.24778- 3 1.90000+ 1 2.10000+ 1 2.20589- 3 1.37227- 3 1.90000+ 1 2.20000+ 1 1.74803- 3 1.37910- 3 1.90000+ 1 2.40000+ 1 5.26841- 3 1.52872- 3 1.90000+ 1 2.50000+ 1 1.49541- 3 1.52968- 3 1.90000+ 1 2.70000+ 1 2.12764- 4 1.48567- 3 1.90000+ 1 2.90000+ 1 2.50990- 3 1.50628- 3 1.90000+ 1 3.00000+ 1 1.60754- 4 1.51125- 3 1.90000+ 1 4.10000+ 1 1.55353- 5 1.53399- 3 2.10000+ 1 2.10000+ 1 8.68986- 4 1.49676- 3 2.10000+ 1 2.20000+ 1 2.53910- 3 1.50359- 3 2.10000+ 1 2.40000+ 1 6.45808- 4 1.65321- 3 2.10000+ 1 2.50000+ 1 1.19257- 3 1.65417- 3 2.10000+ 1 2.70000+ 1 5.81101- 5 1.61016- 3 2.10000+ 1 2.90000+ 1 2.26014- 3 1.63077- 3 2.10000+ 1 3.00000+ 1 2.23866- 4 1.63574- 3 2.10000+ 1 4.10000+ 1 4.62216- 6 1.65848- 3 2.20000+ 1 2.20000+ 1 6.00261- 4 1.51042- 3 2.20000+ 1 2.40000+ 1 2.22458- 3 1.66004- 3 2.20000+ 1 2.50000+ 1 4.68582- 4 1.66100- 3 2.20000+ 1 2.70000+ 1 1.83150- 4 1.61699- 3 2.20000+ 1 2.90000+ 1 3.80198- 3 1.63760- 3 2.20000+ 1 3.00000+ 1 1.65103- 4 1.64257- 3 2.20000+ 1 4.10000+ 1 1.40371- 5 1.66531- 3 2.40000+ 1 2.40000+ 1 7.76069- 4 1.80966- 3 2.40000+ 1 2.50000+ 1 5.48470- 3 1.81062- 3 2.40000+ 1 2.70000+ 1 2.66451- 6 1.76661- 3 2.40000+ 1 2.90000+ 1 5.72903- 4 1.78722- 3 2.40000+ 1 3.00000+ 1 5.89554- 4 1.79219- 3 2.50000+ 1 2.50000+ 1 2.70720- 4 1.81158- 3 2.50000+ 1 2.70000+ 1 7.01884- 5 1.76757- 3 2.50000+ 1 2.90000+ 1 9.86660- 4 1.78818- 3 2.50000+ 1 3.00000+ 1 1.51741- 4 1.79315- 3 2.50000+ 1 4.10000+ 1 5.34784- 6 1.81589- 3 2.70000+ 1 2.70000+ 1 1.70844- 5 1.72356- 3 2.70000+ 1 2.90000+ 1 2.03457- 4 1.74417- 3 2.70000+ 1 3.00000+ 1 2.71783- 5 1.74914- 3 2.70000+ 1 4.10000+ 1 2.32967- 6 1.77188- 3 2.90000+ 1 2.90000+ 1 2.03161- 4 1.76478- 3 2.90000+ 1 3.00000+ 1 5.77556- 4 1.76975- 3 2.90000+ 1 4.10000+ 1 2.55543- 5 1.79249- 3 3.00000+ 1 3.00000+ 1 4.45576- 5 1.77472- 3 3.00000+ 1 4.10000+ 1 1.11395- 5 1.79746- 3 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.74839- 5 3.25500- 4 1.40000+ 1 2.25709- 4 3.62600- 4 1.60000+ 1 6.72077- 4 1.25790- 3 2.10000+ 1 3.16009- 4 1.49503- 3 2.20000+ 1 2.54019- 3 1.50186- 3 2.70000+ 1 1.21689- 4 1.60843- 3 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.80000+ 1 1.34660- 2 0.00000+ 0 1.30000+ 1 1.90000+ 1 6.30962- 2 3.39400- 5 1.30000+ 1 2.10000+ 1 1.06191- 2 1.58430- 4 1.30000+ 1 2.20000+ 1 9.56309- 3 1.65260- 4 1.30000+ 1 2.40000+ 1 1.07743- 2 3.14880- 4 1.30000+ 1 2.50000+ 1 1.57506- 2 3.15840- 4 1.30000+ 1 2.70000+ 1 2.17746- 3 2.71830- 4 1.30000+ 1 2.90000+ 1 1.51313- 3 2.92440- 4 1.30000+ 1 3.00000+ 1 5.96642- 3 2.97410- 4 1.30000+ 1 4.10000+ 1 1.63135- 4 3.20150- 4 1.40000+ 1 1.80000+ 1 8.58766- 2 3.32200- 5 1.40000+ 1 1.90000+ 1 1.42846- 1 7.10400- 5 1.40000+ 1 2.10000+ 1 4.69642- 2 1.95530- 4 1.40000+ 1 2.20000+ 1 6.90238- 2 2.02360- 4 1.40000+ 1 2.40000+ 1 1.04855- 1 3.51980- 4 1.40000+ 1 2.50000+ 1 1.24872- 1 3.52940- 4 1.40000+ 1 2.70000+ 1 1.27171- 2 3.08930- 4 1.40000+ 1 2.90000+ 1 1.03551- 2 3.29540- 4 1.40000+ 1 3.00000+ 1 1.54544- 2 3.34510- 4 1.40000+ 1 4.10000+ 1 9.63462- 4 3.57250- 4 1.60000+ 1 1.60000+ 1 7.07523- 4 8.53700- 4 1.60000+ 1 1.80000+ 1 1.07773- 3 9.28520- 4 1.60000+ 1 1.90000+ 1 1.62404- 2 9.66340- 4 1.60000+ 1 2.10000+ 1 9.68354- 4 1.09083- 3 1.60000+ 1 2.20000+ 1 1.05782- 3 1.09766- 3 1.60000+ 1 2.40000+ 1 7.05961- 4 1.24728- 3 1.60000+ 1 2.50000+ 1 1.07773- 3 1.24824- 3 1.60000+ 1 2.70000+ 1 1.77456- 4 1.20423- 3 1.60000+ 1 2.90000+ 1 1.12439- 4 1.22484- 3 1.60000+ 1 3.00000+ 1 1.37146- 3 1.22981- 3 1.60000+ 1 4.10000+ 1 1.30030- 5 1.25255- 3 1.80000+ 1 1.80000+ 1 1.32717- 4 1.00334- 3 1.80000+ 1 1.90000+ 1 1.92039- 2 1.04116- 3 1.80000+ 1 2.10000+ 1 4.63335- 4 1.16565- 3 1.80000+ 1 2.20000+ 1 3.50650- 3 1.17248- 3 1.80000+ 1 2.40000+ 1 8.05487- 4 1.32210- 3 1.80000+ 1 2.50000+ 1 4.71256- 3 1.32306- 3 1.80000+ 1 2.70000+ 1 1.20441- 4 1.27905- 3 1.80000+ 1 2.90000+ 1 2.53146- 5 1.29966- 3 1.80000+ 1 3.00000+ 1 1.64245- 3 1.30463- 3 1.80000+ 1 4.10000+ 1 9.20571- 6 1.32737- 3 1.90000+ 1 1.90000+ 1 2.68590- 2 1.07898- 3 1.90000+ 1 2.10000+ 1 3.69585- 2 1.20347- 3 1.90000+ 1 2.20000+ 1 4.93601- 2 1.21030- 3 1.90000+ 1 2.40000+ 1 1.43308- 2 1.35992- 3 1.90000+ 1 2.50000+ 1 1.62757- 2 1.36088- 3 1.90000+ 1 2.70000+ 1 2.53328- 3 1.31687- 3 1.90000+ 1 2.90000+ 1 2.40695- 3 1.33748- 3 1.90000+ 1 3.00000+ 1 5.53098- 3 1.34245- 3 1.90000+ 1 4.10000+ 1 1.94111- 4 1.36519- 3 2.10000+ 1 2.10000+ 1 2.44091- 4 1.32796- 3 2.10000+ 1 2.20000+ 1 4.68858- 3 1.33479- 3 2.10000+ 1 2.40000+ 1 3.31051- 4 1.48441- 3 2.10000+ 1 2.50000+ 1 4.09165- 3 1.48537- 3 2.10000+ 1 2.70000+ 1 1.00687- 4 1.44136- 3 2.10000+ 1 2.90000+ 1 3.43252- 5 1.46197- 3 2.10000+ 1 3.00000+ 1 3.13794- 3 1.46694- 3 2.10000+ 1 4.10000+ 1 7.62806- 6 1.48968- 3 2.20000+ 1 2.20000+ 1 2.28140- 3 1.34162- 3 2.20000+ 1 2.40000+ 1 3.26131- 3 1.49124- 3 2.20000+ 1 2.50000+ 1 2.83521- 3 1.49220- 3 2.20000+ 1 2.70000+ 1 1.12125- 4 1.44819- 3 2.20000+ 1 2.90000+ 1 2.80702- 4 1.46880- 3 2.20000+ 1 3.00000+ 1 4.15081- 3 1.47377- 3 2.20000+ 1 4.10000+ 1 8.39015- 6 1.49651- 3 2.40000+ 1 2.40000+ 1 2.32816- 4 1.64086- 3 2.40000+ 1 2.50000+ 1 6.94138- 3 1.64182- 3 2.40000+ 1 2.70000+ 1 7.27069- 5 1.59781- 3 2.40000+ 1 2.90000+ 1 8.66295- 5 1.61842- 3 2.40000+ 1 3.00000+ 1 1.17492- 3 1.62339- 3 2.40000+ 1 4.10000+ 1 5.41419- 6 1.64613- 3 2.50000+ 1 2.50000+ 1 2.51788- 3 1.64278- 3 2.50000+ 1 2.70000+ 1 8.87371- 5 1.59877- 3 2.50000+ 1 2.90000+ 1 5.10055- 4 1.61938- 3 2.50000+ 1 3.00000+ 1 1.36814- 3 1.62435- 3 2.50000+ 1 4.10000+ 1 6.17319- 6 1.64709- 3 2.70000+ 1 2.70000+ 1 1.67050- 5 1.55476- 3 2.70000+ 1 2.90000+ 1 1.89318- 5 1.57537- 3 2.70000+ 1 3.00000+ 1 3.12934- 4 1.58034- 3 2.70000+ 1 4.10000+ 1 2.22728- 6 1.60308- 3 2.90000+ 1 2.90000+ 1 2.77264- 6 1.59598- 3 2.90000+ 1 3.00000+ 1 3.75699- 4 1.60095- 3 2.90000+ 1 4.10000+ 1 1.38637- 6 1.62369- 3 3.00000+ 1 3.00000+ 1 1.13840- 3 1.60592- 3 3.00000+ 1 4.10000+ 1 6.91905- 5 1.62866- 3 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.54520- 3 1.00722- 3 1.90000+ 1 4.38450- 4 1.04504- 3 2.40000+ 1 5.07360- 3 1.32598- 3 2.90000+ 1 6.71020- 4 1.30354- 3 3.00000+ 1 8.44380- 5 1.30851- 3 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 1.01919- 1 2.64800- 5 1.40000+ 1 2.50000+ 1 1.47157- 2 2.74400- 5 1.40000+ 1 2.90000+ 1 7.51115- 4 4.04000- 6 1.40000+ 1 3.00000+ 1 2.09792- 3 9.01000- 6 1.40000+ 1 4.10000+ 1 1.56331- 4 3.17500- 5 1.60000+ 1 1.60000+ 1 3.44089- 5 5.28200- 4 1.60000+ 1 1.80000+ 1 2.60828- 3 6.03020- 4 1.60000+ 1 1.90000+ 1 1.78709- 3 6.40840- 4 1.60000+ 1 2.10000+ 1 6.19613- 2 7.65330- 4 1.60000+ 1 2.20000+ 1 7.57930- 3 7.72160- 4 1.60000+ 1 2.40000+ 1 1.16121- 2 9.21780- 4 1.60000+ 1 2.50000+ 1 3.81477- 3 9.22740- 4 1.60000+ 1 2.70000+ 1 2.52344- 5 8.78730- 4 1.60000+ 1 2.90000+ 1 2.63790- 4 8.99340- 4 1.60000+ 1 3.00000+ 1 1.44510- 4 9.04310- 4 1.60000+ 1 4.10000+ 1 2.29393- 6 9.27050- 4 1.80000+ 1 1.80000+ 1 1.43372- 3 6.77840- 4 1.80000+ 1 1.90000+ 1 9.39154- 3 7.15660- 4 1.80000+ 1 2.10000+ 1 5.31659- 2 8.40150- 4 1.80000+ 1 2.20000+ 1 4.46177- 3 8.46980- 4 1.80000+ 1 2.40000+ 1 7.28792- 3 9.96600- 4 1.80000+ 1 2.50000+ 1 3.83319- 3 9.97560- 4 1.80000+ 1 2.70000+ 1 2.77575- 4 9.53550- 4 1.80000+ 1 2.90000+ 1 2.95927- 4 9.74160- 4 1.80000+ 1 3.00000+ 1 8.64791- 4 9.79130- 4 1.80000+ 1 4.10000+ 1 2.06460- 5 1.00187- 3 1.90000+ 1 1.90000+ 1 3.42487- 3 7.53480- 4 1.90000+ 1 2.10000+ 1 1.13563- 1 8.77970- 4 1.90000+ 1 2.20000+ 1 4.25062- 3 8.84800- 4 1.90000+ 1 2.40000+ 1 4.53039- 3 1.03442- 3 1.90000+ 1 2.50000+ 1 2.24575- 3 1.03538- 3 1.90000+ 1 2.70000+ 1 2.13343- 4 9.91370- 4 1.90000+ 1 2.90000+ 1 8.30391- 4 1.01198- 3 1.90000+ 1 3.00000+ 1 6.05590- 4 1.01695- 3 1.90000+ 1 4.10000+ 1 1.60566- 5 1.03969- 3 2.10000+ 1 2.10000+ 1 9.54995- 2 1.00246- 3 2.10000+ 1 2.20000+ 1 1.93674- 1 1.00929- 3 2.10000+ 1 2.40000+ 1 4.50532- 2 1.15891- 3 2.10000+ 1 2.50000+ 1 5.73018- 2 1.15987- 3 2.10000+ 1 2.70000+ 1 9.00878- 3 1.11586- 3 2.10000+ 1 2.90000+ 1 6.75341- 3 1.13647- 3 2.10000+ 1 3.00000+ 1 1.34034- 2 1.14144- 3 2.10000+ 1 4.10000+ 1 6.85906- 4 1.16418- 3 2.20000+ 1 2.20000+ 1 3.16571- 3 1.01612- 3 2.20000+ 1 2.40000+ 1 4.57763- 2 1.16574- 3 2.20000+ 1 2.50000+ 1 2.62653- 3 1.16670- 3 2.20000+ 1 2.70000+ 1 6.30835- 4 1.12269- 3 2.20000+ 1 2.90000+ 1 3.80811- 4 1.14330- 3 2.20000+ 1 3.00000+ 1 4.12916- 4 1.14827- 3 2.20000+ 1 4.10000+ 1 4.58802- 5 1.17101- 3 2.40000+ 1 2.40000+ 1 2.12050- 2 1.31536- 3 2.40000+ 1 2.50000+ 1 6.70780- 2 1.31632- 3 2.40000+ 1 2.70000+ 1 1.76135- 3 1.27231- 3 2.40000+ 1 2.90000+ 1 7.77343- 4 1.29292- 3 2.40000+ 1 3.00000+ 1 5.33111- 4 1.29789- 3 2.40000+ 1 4.10000+ 1 1.36211- 4 1.32063- 3 2.50000+ 1 2.50000+ 1 1.45819- 3 1.31728- 3 2.50000+ 1 2.70000+ 1 4.51220- 4 1.27327- 3 2.50000+ 1 2.90000+ 1 2.65125- 4 1.29388- 3 2.50000+ 1 3.00000+ 1 2.65125- 4 1.29885- 3 2.50000+ 1 4.10000+ 1 3.31401- 5 1.32159- 3 2.70000+ 1 2.70000+ 1 1.43347- 5 1.22926- 3 2.70000+ 1 2.90000+ 1 1.86354- 4 1.24987- 3 2.70000+ 1 3.00000+ 1 1.14681- 4 1.25484- 3 2.90000+ 1 2.90000+ 1 9.84452- 5 1.27048- 3 2.90000+ 1 3.00000+ 1 4.92251- 4 1.27545- 3 2.90000+ 1 4.10000+ 1 1.40640- 5 1.29819- 3 3.00000+ 1 3.00000+ 1 6.44365- 4 1.28042- 3 3.00000+ 1 4.10000+ 1 5.36953- 5 1.30316- 3 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.50122- 3 1.00794- 3 2.40000+ 1 3.00822- 4 1.28888- 3 2.50000+ 1 5.81703- 3 1.28984- 3 3.00000+ 1 8.29015- 4 1.27141- 3 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 2.54452- 6 4.91100- 4 1.60000+ 1 1.80000+ 1 6.97181- 4 5.65920- 4 1.60000+ 1 1.90000+ 1 4.50635- 3 6.03740- 4 1.60000+ 1 2.10000+ 1 6.61053- 3 7.28230- 4 1.60000+ 1 2.20000+ 1 7.35182- 2 7.35060- 4 1.60000+ 1 2.40000+ 1 4.11191- 3 8.84680- 4 1.60000+ 1 2.50000+ 1 1.36310- 2 8.85640- 4 1.60000+ 1 2.70000+ 1 1.78103- 5 8.41630- 4 1.60000+ 1 2.90000+ 1 3.56227- 5 8.62240- 4 1.60000+ 1 3.00000+ 1 3.96943- 4 8.67210- 4 1.60000+ 1 4.10000+ 1 2.54452- 6 8.89950- 4 1.80000+ 1 1.80000+ 1 1.27223- 5 6.40740- 4 1.80000+ 1 1.90000+ 1 1.08984- 2 6.78560- 4 1.80000+ 1 2.10000+ 1 6.36135- 4 8.03050- 4 1.80000+ 1 2.20000+ 1 7.35262- 2 8.09880- 4 1.80000+ 1 2.40000+ 1 1.85503- 3 9.59500- 4 1.80000+ 1 2.50000+ 1 6.68191- 3 9.60460- 4 1.80000+ 1 2.70000+ 1 7.12464- 5 9.16450- 4 1.80000+ 1 2.90000+ 1 5.08902- 6 9.37060- 4 1.80000+ 1 3.00000+ 1 9.51678- 4 9.42030- 4 1.80000+ 1 4.10000+ 1 5.08902- 6 9.64770- 4 1.90000+ 1 1.90000+ 1 8.33075- 3 7.16380- 4 1.90000+ 1 2.10000+ 1 6.89057- 3 8.40870- 4 1.90000+ 1 2.20000+ 1 1.17305- 1 8.47700- 4 1.90000+ 1 2.40000+ 1 2.82685- 3 9.97320- 4 1.90000+ 1 2.50000+ 1 6.54691- 3 9.98280- 4 1.90000+ 1 2.70000+ 1 5.36899- 4 9.54270- 4 1.90000+ 1 2.90000+ 1 9.38941- 4 9.74880- 4 1.90000+ 1 3.00000+ 1 1.50387- 3 9.79850- 4 1.90000+ 1 4.10000+ 1 4.07118- 5 1.00259- 3 2.10000+ 1 2.10000+ 1 1.47571- 3 9.65360- 4 2.10000+ 1 2.20000+ 1 1.52389- 1 9.72190- 4 2.10000+ 1 2.40000+ 1 2.35629- 3 1.12181- 3 2.10000+ 1 2.50000+ 1 3.11551- 2 1.12277- 3 2.10000+ 1 2.70000+ 1 5.36906- 4 1.07876- 3 2.10000+ 1 2.90000+ 1 8.39686- 5 1.09937- 3 2.10000+ 1 3.00000+ 1 6.05589- 4 1.10434- 3 2.10000+ 1 4.10000+ 1 3.81678- 5 1.12708- 3 2.20000+ 1 2.20000+ 1 1.73822- 1 9.79020- 4 2.20000+ 1 2.40000+ 1 5.51235- 2 1.12864- 3 2.20000+ 1 2.50000+ 1 8.28407- 2 1.12960- 3 2.20000+ 1 2.70000+ 1 1.03587- 2 1.08559- 3 2.20000+ 1 2.90000+ 1 8.99739- 3 1.10620- 3 2.20000+ 1 3.00000+ 1 1.39536- 2 1.11117- 3 2.20000+ 1 4.10000+ 1 7.86245- 4 1.13391- 3 2.40000+ 1 2.40000+ 1 1.81961- 3 1.27826- 3 2.40000+ 1 2.50000+ 1 6.32850- 2 1.27922- 3 2.40000+ 1 2.70000+ 1 4.75018- 4 1.23521- 3 2.40000+ 1 2.90000+ 1 2.15445- 4 1.25582- 3 2.40000+ 1 3.00000+ 1 2.56983- 4 1.26079- 3 2.40000+ 1 4.10000+ 1 3.63396- 5 1.28353- 3 2.50000+ 1 2.50000+ 1 4.04649- 2 1.28018- 3 2.50000+ 1 2.70000+ 1 1.99135- 3 1.23617- 3 2.50000+ 1 2.90000+ 1 8.23004- 4 1.25678- 3 2.50000+ 1 3.00000+ 1 7.08767- 4 1.26175- 3 2.50000+ 1 4.10000+ 1 1.53170- 4 1.28449- 3 2.70000+ 1 2.70000+ 1 2.43278- 5 1.19216- 3 2.70000+ 1 2.90000+ 1 2.43278- 5 1.21277- 3 2.70000+ 1 3.00000+ 1 4.86547- 4 1.21774- 3 2.90000+ 1 3.00000+ 1 4.82633- 4 1.23835- 3 3.00000+ 1 3.00000+ 1 6.62121- 4 1.24332- 3 3.00000+ 1 4.10000+ 1 2.45231- 5 1.26606- 3 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.62052- 5 7.48200- 5 1.90000+ 1 1.13697- 4 1.12640- 4 2.90000+ 1 5.17155- 5 3.71140- 4 3.00000+ 1 3.74802- 5 3.76110- 4 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 2.86127- 2 6.42000- 5 1.80000+ 1 2.50000+ 1 4.16772- 2 6.51600- 5 1.80000+ 1 2.70000+ 1 4.17456- 2 2.11500- 5 1.80000+ 1 2.90000+ 1 3.31829- 2 4.17600- 5 1.80000+ 1 3.00000+ 1 6.52110- 2 4.67300- 5 1.80000+ 1 4.10000+ 1 3.06575- 3 6.94700- 5 1.90000+ 1 2.40000+ 1 1.23373- 1 1.02020- 4 1.90000+ 1 2.50000+ 1 1.48731- 1 1.02980- 4 1.90000+ 1 2.70000+ 1 5.13419- 2 5.89700- 5 1.90000+ 1 2.90000+ 1 5.23555- 2 7.95800- 5 1.90000+ 1 3.00000+ 1 6.59113- 2 8.45500- 5 1.90000+ 1 4.10000+ 1 3.84832- 3 1.07290- 4 2.10000+ 1 2.10000+ 1 4.21069- 3 7.00600- 5 2.10000+ 1 2.20000+ 1 1.86018- 2 7.68900- 5 2.10000+ 1 2.40000+ 1 4.41990- 3 2.26510- 4 2.10000+ 1 2.50000+ 1 1.04275- 2 2.27470- 4 2.10000+ 1 2.70000+ 1 1.75053- 2 1.83460- 4 2.10000+ 1 2.90000+ 1 3.60599- 3 2.04070- 4 2.10000+ 1 3.00000+ 1 9.96088- 3 2.09040- 4 2.10000+ 1 4.10000+ 1 1.09766- 3 2.31780- 4 2.20000+ 1 2.20000+ 1 1.02886- 2 8.37200- 5 2.20000+ 1 2.40000+ 1 1.19326- 2 2.33340- 4 2.20000+ 1 2.50000+ 1 1.04942- 2 2.34300- 4 2.20000+ 1 2.70000+ 1 2.53089- 2 1.90290- 4 2.20000+ 1 2.90000+ 1 9.68752- 3 2.10900- 4 2.20000+ 1 3.00000+ 1 9.48892- 3 2.15870- 4 2.20000+ 1 4.10000+ 1 1.58120- 3 2.38610- 4 2.40000+ 1 2.40000+ 1 2.82579- 3 3.82960- 4 2.40000+ 1 2.50000+ 1 7.25861- 3 3.83920- 4 2.40000+ 1 2.70000+ 1 1.09266- 2 3.39910- 4 2.40000+ 1 2.90000+ 1 1.31038- 3 3.60520- 4 2.40000+ 1 3.00000+ 1 3.30563- 3 3.65490- 4 2.40000+ 1 4.10000+ 1 6.26605- 4 3.88230- 4 2.50000+ 1 2.50000+ 1 4.81711- 3 3.84880- 4 2.50000+ 1 2.70000+ 1 1.40588- 2 3.40870- 4 2.50000+ 1 2.90000+ 1 8.68131- 4 3.61480- 4 2.50000+ 1 3.00000+ 1 4.12960- 3 3.66450- 4 2.50000+ 1 4.10000+ 1 8.05931- 4 3.89190- 4 2.70000+ 1 2.70000+ 1 1.98831- 2 2.96860- 4 2.70000+ 1 2.90000+ 1 2.41528- 2 3.17470- 4 2.70000+ 1 3.00000+ 1 4.09044- 2 3.22440- 4 2.70000+ 1 4.10000+ 1 2.67977- 3 3.45180- 4 2.90000+ 1 2.90000+ 1 5.05296- 3 3.38080- 4 2.90000+ 1 3.00000+ 1 2.11282- 2 3.43050- 4 2.90000+ 1 4.10000+ 1 3.82155- 3 3.65790- 4 3.00000+ 1 3.00000+ 1 1.69076- 2 3.48020- 4 3.00000+ 1 4.10000+ 1 6.64999- 3 3.70760- 4 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.75917- 4 1.62310- 4 2.70000+ 1 8.51767- 5 2.75710- 4 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 5.92303- 2 2.72000- 5 1.90000+ 1 2.50000+ 1 4.56154- 2 2.81600- 5 1.90000+ 1 2.90000+ 1 1.08809- 2 4.76000- 6 1.90000+ 1 3.00000+ 1 1.08463- 2 9.73000- 6 1.90000+ 1 4.10000+ 1 1.20670- 3 3.24700- 5 2.10000+ 1 2.10000+ 1 1.69482- 2 0.00000+ 0 2.10000+ 1 2.20000+ 1 2.62872- 1 2.07000- 6 2.10000+ 1 2.40000+ 1 1.01189- 1 1.51690- 4 2.10000+ 1 2.50000+ 1 2.09982- 1 1.52650- 4 2.10000+ 1 2.70000+ 1 2.97433- 2 1.08640- 4 2.10000+ 1 2.90000+ 1 2.09120- 2 1.29250- 4 2.10000+ 1 3.00000+ 1 3.66739- 2 1.34220- 4 2.10000+ 1 4.10000+ 1 2.23652- 3 1.56960- 4 2.20000+ 1 2.20000+ 1 1.69014- 2 8.90000- 6 2.20000+ 1 2.40000+ 1 3.05118- 2 1.58520- 4 2.20000+ 1 2.50000+ 1 8.05175- 3 1.59480- 4 2.20000+ 1 2.70000+ 1 5.75483- 3 1.15470- 4 2.20000+ 1 2.90000+ 1 2.40145- 2 1.36080- 4 2.20000+ 1 3.00000+ 1 5.08092- 3 1.41050- 4 2.20000+ 1 4.10000+ 1 3.82548- 4 1.63790- 4 2.40000+ 1 2.40000+ 1 1.65980- 3 3.08140- 4 2.40000+ 1 2.50000+ 1 1.23029- 2 3.09100- 4 2.40000+ 1 2.70000+ 1 2.82493- 3 2.65090- 4 2.40000+ 1 2.90000+ 1 1.05484- 2 2.85700- 4 2.40000+ 1 3.00000+ 1 3.36015- 3 2.90670- 4 2.40000+ 1 4.10000+ 1 2.09716- 4 3.13410- 4 2.50000+ 1 2.50000+ 1 5.41316- 4 3.10060- 4 2.50000+ 1 2.70000+ 1 1.71554- 3 2.66050- 4 2.50000+ 1 2.90000+ 1 1.97927- 2 2.86660- 4 2.50000+ 1 3.00000+ 1 1.44203- 3 2.91630- 4 2.50000+ 1 4.10000+ 1 1.08315- 4 3.14370- 4 2.70000+ 1 2.70000+ 1 2.96946- 4 2.22040- 4 2.70000+ 1 2.90000+ 1 4.72071- 3 2.42650- 4 2.70000+ 1 3.00000+ 1 7.59222- 4 2.47620- 4 2.70000+ 1 4.10000+ 1 3.87034- 5 2.70360- 4 2.90000+ 1 2.90000+ 1 9.80361- 3 2.63260- 4 2.90000+ 1 3.00000+ 1 2.73498- 2 2.68230- 4 2.90000+ 1 4.10000+ 1 1.35450- 3 2.90970- 4 3.00000+ 1 3.00000+ 1 1.43128- 3 2.73200- 4 3.00000+ 1 4.10000+ 1 2.43319- 4 2.95940- 4 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 9.70730- 6 1.24490- 4 2.20000+ 1 1.06167- 4 1.31320- 4 2.70000+ 1 4.54658- 5 2.37890- 4 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.89147- 2 1.13870- 4 2.10000+ 1 2.50000+ 1 5.52664- 2 1.14830- 4 2.10000+ 1 2.70000+ 1 1.38400- 2 7.08200- 5 2.10000+ 1 2.90000+ 1 1.02766- 2 9.14300- 5 2.10000+ 1 3.00000+ 1 3.88519- 2 9.64000- 5 2.10000+ 1 4.10000+ 1 1.02110- 3 1.19140- 4 2.20000+ 1 2.40000+ 1 2.48828- 1 1.20700- 4 2.20000+ 1 2.50000+ 1 2.57241- 1 1.21660- 4 2.20000+ 1 2.70000+ 1 7.14833- 2 7.76500- 5 2.20000+ 1 2.90000+ 1 6.90735- 2 9.82600- 5 2.20000+ 1 3.00000+ 1 1.00875- 1 1.03230- 4 2.20000+ 1 4.10000+ 1 5.46340- 3 1.25970- 4 2.40000+ 1 2.40000+ 1 4.92490- 4 2.70320- 4 2.40000+ 1 2.50000+ 1 1.48492- 2 2.71280- 4 2.40000+ 1 2.70000+ 1 3.67715- 3 2.27270- 4 2.40000+ 1 2.90000+ 1 1.58704- 3 2.47880- 4 2.40000+ 1 3.00000+ 1 2.30709- 2 2.52850- 4 2.40000+ 1 4.10000+ 1 2.14460- 4 2.75590- 4 2.50000+ 1 2.50000+ 1 5.70791- 3 2.72240- 4 2.50000+ 1 2.70000+ 1 7.75463- 3 2.28230- 4 2.50000+ 1 2.90000+ 1 6.32656- 3 2.48840- 4 2.50000+ 1 3.00000+ 1 2.78052- 2 2.53810- 4 2.50000+ 1 4.10000+ 1 4.99894- 4 2.76550- 4 2.70000+ 1 2.70000+ 1 2.05640- 5 1.84220- 4 2.70000+ 1 2.90000+ 1 2.59374- 4 2.04830- 4 2.70000+ 1 3.00000+ 1 4.96277- 3 2.09800- 4 2.70000+ 1 4.10000+ 1 3.31691- 6 2.32540- 4 2.90000+ 1 2.90000+ 1 2.35095- 5 2.25440- 4 2.90000+ 1 3.00000+ 1 2.83607- 3 2.30410- 4 2.90000+ 1 4.10000+ 1 1.05387- 5 2.53150- 4 3.00000+ 1 3.00000+ 1 8.09896- 3 2.35380- 4 3.00000+ 1 4.10000+ 1 5.03685- 4 2.58120- 4 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.88926- 5 1.56450- 4 2.90000+ 1 1.20820- 5 1.34010- 4 3.00000+ 1 1.89460- 6 1.38980- 4 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 2.40000+ 1 4.49881- 2 0.00000+ 0 2.20000+ 1 2.50000+ 1 4.39193- 3 0.00000+ 0 2.20000+ 1 4.10000+ 1 1.91009- 4 1.48000- 6 2.40000+ 1 2.40000+ 1 1.42599- 1 1.45830- 4 2.40000+ 1 2.50000+ 1 4.75986- 1 1.46790- 4 2.40000+ 1 2.70000+ 1 6.71265- 2 1.02780- 4 2.40000+ 1 2.90000+ 1 5.51607- 2 1.23390- 4 2.40000+ 1 3.00000+ 1 8.59682- 2 1.28360- 4 2.40000+ 1 4.10000+ 1 5.13027- 3 1.51100- 4 2.50000+ 1 2.50000+ 1 3.62897- 3 1.47750- 4 2.50000+ 1 2.70000+ 1 5.00994- 3 1.03740- 4 2.50000+ 1 2.90000+ 1 1.32743- 2 1.24350- 4 2.50000+ 1 3.00000+ 1 4.40828- 3 1.29320- 4 2.50000+ 1 4.10000+ 1 3.26516- 4 1.52060- 4 2.70000+ 1 2.70000+ 1 6.01858- 3 5.97300- 5 2.70000+ 1 2.90000+ 1 5.54890- 3 8.03400- 5 2.70000+ 1 3.00000+ 1 6.52914- 3 8.53100- 5 2.70000+ 1 4.10000+ 1 5.13404- 4 1.08050- 4 2.90000+ 1 2.90000+ 1 1.23281- 2 1.00950- 4 2.90000+ 1 3.00000+ 1 3.84740- 2 1.05920- 4 2.90000+ 1 4.10000+ 1 1.51400- 3 1.28660- 4 3.00000+ 1 3.00000+ 1 1.92714- 2 1.10890- 4 3.00000+ 1 4.10000+ 1 1.57961- 3 1.33630- 4 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 9.73283- 7 1.49620- 4 2.50000+ 1 1.98161- 5 1.50580- 4 3.00000+ 1 1.30390- 5 1.32150- 4 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 1.00569- 2 1.39000- 4 2.40000+ 1 2.50000+ 1 4.07316- 1 1.39960- 4 2.40000+ 1 2.70000+ 1 1.03259- 2 9.59500- 5 2.40000+ 1 2.90000+ 1 5.71381- 3 1.16560- 4 2.40000+ 1 3.00000+ 1 1.98287- 2 1.21530- 4 2.40000+ 1 4.10000+ 1 7.19875- 4 1.44270- 4 2.50000+ 1 2.50000+ 1 2.74987- 1 1.40920- 4 2.50000+ 1 2.70000+ 1 7.64435- 2 9.69100- 5 2.50000+ 1 2.90000+ 1 7.42803- 2 1.17520- 4 2.50000+ 1 3.00000+ 1 9.53362- 2 1.22490- 4 2.50000+ 1 4.10000+ 1 5.86467- 3 1.45230- 4 2.70000+ 1 2.70000+ 1 4.23803- 3 5.29000- 5 2.70000+ 1 2.90000+ 1 2.16857- 3 7.35100- 5 2.70000+ 1 3.00000+ 1 5.58990- 3 7.84800- 5 2.70000+ 1 4.10000+ 1 3.55525- 4 1.01220- 4 2.90000+ 1 2.90000+ 1 4.08716- 4 9.41200- 5 2.90000+ 1 3.00000+ 1 3.85094- 3 9.90900- 5 2.90000+ 1 4.10000+ 1 8.62545- 5 1.21830- 4 3.00000+ 1 3.00000+ 1 2.18048- 3 1.04060- 4 3.00000+ 1 4.10000+ 1 2.15228- 4 1.26800- 4 1 66000 0 7 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 7.68777- 8 2.06100- 5 3.00000+ 1 2.98339- 7 2.55800- 5 1 66000 0 9 1.62500+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 4.11569- 1 1.52600- 5 3.00000+ 1 4.10000+ 1 5.80708- 1 2.02300- 5 4.10000+ 1 4.10000+ 1 7.72307- 3 4.29700- 5 1 67000 0 0 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 4.71000+ 0 2.50000+ 1 6.29000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 1 67000 0 0 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.56990- 2 3.00000+ 0 9.36020- 3 5.00000+ 0 8.92870- 3 6.00000+ 0 8.06170- 3 8.00000+ 0 2.10250- 3 1.00000+ 1 1.91040- 3 1.10000+ 1 1.72850- 3 1.30000+ 1 1.39520- 3 1.40000+ 1 1.35530- 3 1.60000+ 1 4.20350- 4 1.80000+ 1 3.43050- 4 1.90000+ 1 3.02200- 4 2.10000+ 1 1.73630- 4 2.20000+ 1 1.66230- 4 2.40000+ 1 1.08000- 5 2.50000+ 1 9.73000- 6 2.70000+ 1 5.51900- 5 2.90000+ 1 3.38900- 5 3.00000+ 1 2.85800- 5 4.10000+ 1 5.42000- 6 1 67000 0 0 1.64930+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.35690- 2 3.00000+ 0 1.68870- 2 5.00000+ 0 1.68900- 2 6.00000+ 0 1.36650- 2 8.00000+ 0 5.25630- 3 1.00000+ 1 5.16710- 3 1.10000+ 1 4.39850- 3 1.30000+ 1 4.26310- 3 1.40000+ 1 4.08560- 3 1.60000+ 1 1.64530- 3 1.80000+ 1 1.54680- 3 1.90000+ 1 1.32450- 3 2.10000+ 1 1.13540- 3 2.20000+ 1 1.08690- 3 2.40000+ 1 6.69560- 4 2.50000+ 1 6.52230- 4 2.70000+ 1 3.34470- 4 2.90000+ 1 2.62540- 4 3.00000+ 1 2.17350- 4 4.10000+ 1 3.12600- 5 1 67000 0 0 1.64930+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.09590-10 3.00000+ 0 4.61850-10 5.00000+ 0 3.84110-10 6.00000+ 0 4.22070-10 8.00000+ 0 1.20790- 9 1.00000+ 1 1.15190- 9 1.10000+ 1 1.22300- 9 1.30000+ 1 1.07780- 9 1.40000+ 1 1.09980- 9 1.60000+ 1 2.72820- 9 1.80000+ 1 2.77460- 9 1.90000+ 1 2.93670- 9 2.10000+ 1 3.08540- 9 2.20000+ 1 3.14180- 9 2.40000+ 1 4.13580- 9 2.50000+ 1 4.21300- 9 2.70000+ 1 6.65740- 9 2.90000+ 1 7.46830- 9 3.00000+ 1 8.02050- 9 4.10000+ 1 2.14470- 8 1 67000 0 0 1.64930+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.46840- 5 3.00000+ 0 4.90800- 7 5.00000+ 0 8.43110- 7 6.00000+ 0 7.66770- 7 8.00000+ 0 1.55570- 8 1.00000+ 1 1.60790- 8 1.10000+ 1 1.66100- 8 1.30000+ 1 1.32810- 8 1.40000+ 1 1.24800- 8 1.60000+ 1 4.00120-10 1.80000+ 1 7.83290-10 1.90000+ 1 5.14430-10 2.10000+ 1 5.30150-10 2.20000+ 1 4.79970-10 2.70000+ 1 1.90540-11 1 67000 0 0 1.64930+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.53380- 6 3.00000+ 0 4.49280- 6 5.00000+ 0 3.09960- 6 6.00000+ 0 3.05720- 6 8.00000+ 0 1.74340- 5 1.00000+ 1 9.20610- 6 1.10000+ 1 9.37980- 6 1.30000+ 1 1.83270- 6 1.40000+ 1 1.11450- 6 1.60000+ 1 1.22980- 5 1.80000+ 1 1.61620- 5 1.90000+ 1 8.42710- 6 2.10000+ 1 4.71500- 6 2.20000+ 1 3.94560- 6 2.70000+ 1 3.85480- 6 1 67000 0 0 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.10307- 4 3.00000+ 0 1.37888- 4 5.00000+ 0 1.15110- 4 6.00000+ 0 1.08401- 4 8.00000+ 0 1.02986- 4 1.00000+ 1 8.68061- 5 1.10000+ 1 7.94825- 5 1.30000+ 1 5.69723- 5 1.40000+ 1 5.41279- 5 1.60000+ 1 6.18974- 5 1.80000+ 1 4.98515- 5 1.90000+ 1 4.37513- 5 2.10000+ 1 2.90465- 5 2.20000+ 1 2.66574- 5 2.40000+ 1 1.08000- 5 2.50000+ 1 9.73000- 6 2.70000+ 1 3.60202- 5 2.90000+ 1 3.38900- 5 3.00000+ 1 2.85800- 5 4.10000+ 1 5.42000- 6 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.13562+ 0 3.00000+ 0 2.23285- 1 5.00000+ 0 2.55731- 1 6.00000+ 0 2.10359- 1 8.00000+ 0 1.34249- 2 1.00000+ 1 1.37001- 2 1.10000+ 1 1.30579- 2 1.30000+ 1 1.23790- 2 1.40000+ 1 1.17358- 2 1.60000+ 1 4.58645- 4 1.80000+ 1 5.72201- 4 1.90000+ 1 2.13657- 4 2.10000+ 1 4.22222- 5 2.20000+ 1 4.11518- 5 2.70000+ 1 5.16820- 7 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.71434- 2 3.00000+ 0 1.54195- 3 5.00000+ 0 1.82127- 3 6.00000+ 0 1.33128- 3 8.00000+ 0 1.78033- 5 1.00000+ 1 1.78600- 5 1.10000+ 1 1.69396- 5 1.30000+ 1 1.55307- 5 1.40000+ 1 1.46439- 5 1.60000+ 1 9.27307- 8 1.80000+ 1 1.07108- 7 1.90000+ 1 3.52170- 8 2.10000+ 1 6.51924- 9 2.20000+ 1 6.18402- 9 2.70000+ 1 1.31991-11 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.11768+ 0 3.00000+ 0 9.05440+ 0 5.00000+ 0 7.45229+ 0 6.00000+ 0 7.03221+ 0 8.00000+ 0 6.48664+ 0 1.00000+ 1 5.31025+ 0 1.10000+ 1 4.85256+ 0 1.30000+ 1 3.22860+ 0 1.40000+ 1 3.07962+ 0 1.60000+ 1 2.91571+ 0 1.80000+ 1 2.50101+ 0 1.90000+ 1 2.07312+ 0 2.10000+ 1 1.13885+ 0 2.20000+ 1 1.09610+ 0 2.70000+ 1 9.99999- 1 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.44534- 3 3.00000+ 0 7.68036- 3 5.00000+ 0 6.99232- 3 6.00000+ 0 6.62202- 3 8.00000+ 0 1.98171- 3 1.00000+ 1 1.80573- 3 1.10000+ 1 1.63208- 3 1.30000+ 1 1.32270- 3 1.40000+ 1 1.28653- 3 1.60000+ 1 3.58360- 4 1.80000+ 1 2.93091- 4 1.90000+ 1 2.58413- 4 2.10000+ 1 1.44577- 4 2.20000+ 1 1.39566- 4 2.70000+ 1 1.91698- 5 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.70679- 1 4.67703- 2 6.00000+ 0 4.82087- 1 4.76373- 2 1.00000+ 1 4.99337- 2 5.37886- 2 1.10000+ 1 9.65175- 2 5.39705- 2 1.30000+ 1 8.52835- 4 5.43038- 2 1.40000+ 1 1.11029- 3 5.43437- 2 1.80000+ 1 1.10229- 2 5.53559- 2 1.90000+ 1 2.13439- 2 5.53968- 2 2.10000+ 1 1.93629- 4 5.55254- 2 2.20000+ 1 2.50919- 4 5.55328- 2 2.90000+ 1 2.43829- 3 5.56651- 2 3.00000+ 1 5.07127- 3 5.56704- 2 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 5.40512- 3 3.69786- 2 3.00000+ 0 5.00000+ 0 7.20820- 3 3.74101- 2 3.00000+ 0 6.00000+ 0 6.21731- 3 3.82771- 2 3.00000+ 0 8.00000+ 0 2.07667- 3 4.42363- 2 3.00000+ 0 1.00000+ 1 1.49518- 3 4.44284- 2 3.00000+ 0 1.10000+ 1 1.34079- 3 4.46103- 2 3.00000+ 0 1.30000+ 1 1.01699- 4 4.49436- 2 3.00000+ 0 1.40000+ 1 9.39197- 5 4.49835- 2 3.00000+ 0 1.60000+ 1 4.89334- 4 4.59184- 2 3.00000+ 0 1.80000+ 1 3.39465- 4 4.59957- 2 3.00000+ 0 1.90000+ 1 3.01686- 4 4.60366- 2 3.00000+ 0 2.10000+ 1 2.28316- 5 4.61652- 2 3.00000+ 0 2.20000+ 1 2.08597- 5 4.61726- 2 3.00000+ 0 2.70000+ 1 7.85639- 5 4.62836- 2 3.00000+ 0 2.90000+ 1 4.35854- 5 4.63049- 2 3.00000+ 0 3.00000+ 1 3.67385- 5 4.63102- 2 3.00000+ 0 4.10000+ 1 5.91541- 6 4.63334- 2 5.00000+ 0 5.00000+ 0 6.24766- 4 3.78416- 2 5.00000+ 0 6.00000+ 0 1.22398- 2 3.87086- 2 5.00000+ 0 8.00000+ 0 1.16918- 3 4.46678- 2 5.00000+ 0 1.00000+ 1 2.28625- 4 4.48599- 2 5.00000+ 0 1.10000+ 1 2.19315- 3 4.50418- 2 5.00000+ 0 1.30000+ 1 1.11778- 4 4.53751- 2 5.00000+ 0 1.40000+ 1 3.40813- 4 4.54150- 2 5.00000+ 0 1.60000+ 1 2.65364- 4 4.63499- 2 5.00000+ 0 1.80000+ 1 5.06449- 5 4.64272- 2 5.00000+ 0 1.90000+ 1 4.74800- 4 4.64681- 2 5.00000+ 0 2.10000+ 1 2.44924- 5 4.65967- 2 5.00000+ 0 2.20000+ 1 7.44104- 5 4.66041- 2 5.00000+ 0 2.40000+ 1 4.15111- 7 4.67595- 2 5.00000+ 0 2.50000+ 1 4.15111- 7 4.67606- 2 5.00000+ 0 2.70000+ 1 4.22391- 5 4.67151- 2 5.00000+ 0 2.90000+ 1 6.43426- 6 4.67364- 2 5.00000+ 0 3.00000+ 1 5.73917- 5 4.67417- 2 5.00000+ 0 4.10000+ 1 3.21723- 6 4.67649- 2 6.00000+ 0 6.00000+ 0 5.71165- 3 3.95756- 2 6.00000+ 0 8.00000+ 0 9.52797- 4 4.55348- 2 6.00000+ 0 1.00000+ 1 2.08350- 3 4.57269- 2 6.00000+ 0 1.10000+ 1 2.10990- 3 4.59088- 2 6.00000+ 0 1.30000+ 1 3.93743- 4 4.62421- 2 6.00000+ 0 1.40000+ 1 3.46825- 4 4.62820- 2 6.00000+ 0 1.60000+ 1 2.13470- 4 4.72169- 2 6.00000+ 0 1.80000+ 1 4.54650- 4 4.72942- 2 6.00000+ 0 1.90000+ 1 4.60260- 4 4.73351- 2 6.00000+ 0 2.10000+ 1 8.66521- 5 4.74637- 2 6.00000+ 0 2.20000+ 1 7.59647- 5 4.74711- 2 6.00000+ 0 2.40000+ 1 7.26418- 7 4.76265- 2 6.00000+ 0 2.50000+ 1 5.18877- 7 4.76276- 2 6.00000+ 0 2.70000+ 1 3.39355- 5 4.75821- 2 6.00000+ 0 2.90000+ 1 5.80124- 5 4.76034- 2 6.00000+ 0 3.00000+ 1 5.57275- 5 4.76087- 2 6.00000+ 0 4.10000+ 1 2.59448- 6 4.76319- 2 8.00000+ 0 8.00000+ 0 1.96353- 4 5.14940- 2 8.00000+ 0 1.00000+ 1 2.44204- 4 5.16861- 2 8.00000+ 0 1.10000+ 1 2.07463- 4 5.18680- 2 8.00000+ 0 1.30000+ 1 1.51533- 5 5.22013- 2 8.00000+ 0 1.40000+ 1 1.32843- 5 5.22412- 2 8.00000+ 0 1.60000+ 1 9.22617- 5 5.31761- 2 8.00000+ 0 1.80000+ 1 5.55250- 5 5.32534- 2 8.00000+ 0 1.90000+ 1 4.68069- 5 5.32943- 2 8.00000+ 0 2.10000+ 1 3.42486- 6 5.34229- 2 8.00000+ 0 2.20000+ 1 2.90595- 6 5.34303- 2 8.00000+ 0 2.70000+ 1 1.48413- 5 5.35413- 2 8.00000+ 0 2.90000+ 1 7.16113- 6 5.35626- 2 8.00000+ 0 3.00000+ 1 5.70820- 6 5.35679- 2 8.00000+ 0 4.10000+ 1 1.14162- 6 5.35911- 2 1.00000+ 1 1.00000+ 1 2.03420- 5 5.18782- 2 1.00000+ 1 1.10000+ 1 3.81591- 4 5.20601- 2 1.00000+ 1 1.30000+ 1 1.55671- 5 5.23934- 2 1.00000+ 1 1.40000+ 1 4.46281- 5 5.24333- 2 1.00000+ 1 1.60000+ 1 5.55240- 5 5.33682- 2 1.00000+ 1 1.80000+ 1 8.92531- 6 5.34455- 2 1.00000+ 1 1.90000+ 1 8.29231- 5 5.34864- 2 1.00000+ 1 2.10000+ 1 3.42481- 6 5.36150- 2 1.00000+ 1 2.20000+ 1 9.85899- 6 5.36224- 2 1.00000+ 1 2.70000+ 1 8.82121- 6 5.37334- 2 1.00000+ 1 2.90000+ 1 1.14161- 6 5.37547- 2 1.00000+ 1 3.00000+ 1 1.00670- 5 5.37600- 2 1.00000+ 1 4.10000+ 1 6.22671- 7 5.37832- 2 1.10000+ 1 1.10000+ 1 1.96151- 4 5.22420- 2 1.10000+ 1 1.30000+ 1 5.78053- 5 5.25753- 2 1.10000+ 1 1.40000+ 1 4.95062- 5 5.26152- 2 1.10000+ 1 1.60000+ 1 4.66003- 5 5.35501- 2 1.10000+ 1 1.80000+ 1 8.35434- 5 5.36274- 2 1.10000+ 1 1.90000+ 1 8.57255- 5 5.36683- 2 1.10000+ 1 2.10000+ 1 1.27651- 5 5.37969- 2 1.10000+ 1 2.20000+ 1 1.08971- 5 5.38043- 2 1.10000+ 1 2.40000+ 1 1.03781- 7 5.39597- 2 1.10000+ 1 2.50000+ 1 1.03781- 7 5.39608- 2 1.10000+ 1 2.70000+ 1 7.36864- 6 5.39153- 2 1.10000+ 1 2.90000+ 1 1.06901- 5 5.39366- 2 1.10000+ 1 3.00000+ 1 1.03781- 5 5.39419- 2 1.10000+ 1 4.10000+ 1 5.18903- 7 5.39651- 2 1.30000+ 1 1.30000+ 1 1.03231- 7 5.29086- 2 1.30000+ 1 1.40000+ 1 7.01946- 6 5.29485- 2 1.30000+ 1 1.60000+ 1 3.40668- 6 5.38834- 2 1.30000+ 1 1.80000+ 1 3.30343- 6 5.39607- 2 1.30000+ 1 1.90000+ 1 1.19753- 5 5.40016- 2 1.30000+ 1 2.20000+ 1 1.44532- 6 5.41376- 2 1.30000+ 1 2.70000+ 1 5.16154- 7 5.42486- 2 1.30000+ 1 2.90000+ 1 4.12924- 7 5.42699- 2 1.30000+ 1 3.00000+ 1 1.44532- 6 5.42752- 2 1.40000+ 1 1.40000+ 1 1.66051- 6 5.29884- 2 1.40000+ 1 1.60000+ 1 2.90593- 6 5.39233- 2 1.40000+ 1 1.80000+ 1 9.23661- 6 5.40006- 2 1.40000+ 1 1.90000+ 1 1.01702- 5 5.40415- 2 1.40000+ 1 2.10000+ 1 1.45302- 6 5.41701- 2 1.40000+ 1 2.20000+ 1 7.26459- 7 5.41775- 2 1.40000+ 1 2.70000+ 1 4.15125- 7 5.42885- 2 1.40000+ 1 2.90000+ 1 1.14162- 6 5.43098- 2 1.40000+ 1 3.00000+ 1 1.24542- 6 5.43151- 2 1.60000+ 1 1.60000+ 1 1.08395- 5 5.48583- 2 1.60000+ 1 1.80000+ 1 1.27155- 5 5.49356- 2 1.60000+ 1 1.90000+ 1 1.05272- 5 5.49764- 2 1.60000+ 1 2.10000+ 1 7.29578- 7 5.51050- 2 1.60000+ 1 2.20000+ 1 6.25351- 7 5.51124- 2 1.60000+ 1 2.70000+ 1 3.43954- 6 5.52235- 2 1.60000+ 1 2.90000+ 1 1.66764- 6 5.52448- 2 1.60000+ 1 3.00000+ 1 1.25077- 6 5.52501- 2 1.60000+ 1 4.10000+ 1 3.12690- 7 5.52732- 2 1.80000+ 1 1.80000+ 1 9.34075- 7 5.50129- 2 1.80000+ 1 1.90000+ 1 1.81621- 5 5.50537- 2 1.80000+ 1 2.10000+ 1 7.26455- 7 5.51823- 2 1.80000+ 1 2.20000+ 1 2.07561- 6 5.51897- 2 1.80000+ 1 2.70000+ 1 1.97191- 6 5.53008- 2 1.80000+ 1 2.90000+ 1 2.07561- 7 5.53221- 2 1.80000+ 1 3.00000+ 1 2.17941- 6 5.53274- 2 1.80000+ 1 4.10000+ 1 1.03781- 7 5.53505- 2 1.90000+ 1 1.90000+ 1 9.07292- 6 5.50946- 2 1.90000+ 1 2.10000+ 1 2.62104- 6 5.52232- 2 1.90000+ 1 2.20000+ 1 2.21774- 6 5.52306- 2 1.90000+ 1 2.70000+ 1 1.61289- 6 5.53416- 2 1.90000+ 1 2.90000+ 1 2.21774- 6 5.53629- 2 1.90000+ 1 3.00000+ 1 2.21774- 6 5.53682- 2 1.90000+ 1 4.10000+ 1 1.00805- 7 5.53914- 2 2.10000+ 1 2.20000+ 1 3.11588- 7 5.53591- 2 2.10000+ 1 2.70000+ 1 1.03860- 7 5.54702- 2 2.10000+ 1 2.90000+ 1 1.03860- 7 5.54915- 2 2.10000+ 1 3.00000+ 1 3.11588- 7 5.54968- 2 2.20000+ 1 2.20000+ 1 1.14120- 7 5.53665- 2 2.20000+ 1 2.70000+ 1 1.14120- 7 5.54776- 2 2.20000+ 1 2.90000+ 1 2.28238- 7 5.54989- 2 2.20000+ 1 3.00000+ 1 3.42369- 7 5.55042- 2 2.70000+ 1 2.70000+ 1 4.26375- 7 5.55886- 2 2.70000+ 1 2.90000+ 1 2.84240- 7 5.56099- 2 2.70000+ 1 3.00000+ 1 2.84240- 7 5.56152- 2 2.90000+ 1 3.00000+ 1 3.10648- 7 5.56365- 2 3.00000+ 1 3.00000+ 1 1.03779- 7 5.56418- 2 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.90050- 5 4.31500- 4 6.00000+ 0 1.18290- 3 1.29850- 3 1.00000+ 1 2.75780- 2 7.44980- 3 1.10000+ 1 3.79780- 2 7.63170- 3 1.30000+ 1 6.48109- 4 7.96500- 3 1.40000+ 1 9.70149- 4 8.00490- 3 1.80000+ 1 6.57069- 3 9.01715- 3 1.90000+ 1 9.45579- 3 9.05800- 3 2.10000+ 1 8.80929- 5 9.18657- 3 2.20000+ 1 1.36210- 4 9.19397- 3 2.90000+ 1 8.82609- 4 9.32631- 3 3.00000+ 1 1.22250- 3 9.33162- 3 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 4.85423- 2 1.11500- 5 5.00000+ 0 1.80000+ 1 3.70644- 2 8.84500- 5 5.00000+ 0 1.90000+ 1 4.16035- 2 1.29300- 4 5.00000+ 0 2.10000+ 1 1.11315- 2 2.57870- 4 5.00000+ 0 2.20000+ 1 1.65853- 2 2.65270- 4 5.00000+ 0 2.40000+ 1 2.73714- 2 4.20700- 4 5.00000+ 0 2.50000+ 1 2.21881- 2 4.21770- 4 5.00000+ 0 2.70000+ 1 7.51418- 3 3.76310- 4 5.00000+ 0 2.90000+ 1 4.50607- 3 3.97610- 4 5.00000+ 0 3.00000+ 1 4.82951- 3 4.02920- 4 5.00000+ 0 4.10000+ 1 5.63603- 4 4.26080- 4 6.00000+ 0 1.60000+ 1 5.23843- 2 8.78150- 4 6.00000+ 0 1.80000+ 1 2.19296- 2 9.55450- 4 6.00000+ 0 1.90000+ 1 3.72942- 2 9.96300- 4 6.00000+ 0 2.10000+ 1 6.26264- 2 1.12487- 3 6.00000+ 0 2.20000+ 1 7.75189- 2 1.13227- 3 6.00000+ 0 2.40000+ 1 3.89706- 2 1.28770- 3 6.00000+ 0 2.50000+ 1 3.05925- 2 1.28877- 3 6.00000+ 0 2.70000+ 1 8.06744- 3 1.24331- 3 6.00000+ 0 2.90000+ 1 2.73672- 3 1.26461- 3 6.00000+ 0 3.00000+ 1 4.46341- 3 1.26992- 3 6.00000+ 0 4.10000+ 1 6.05639- 4 1.29308- 3 8.00000+ 0 8.00000+ 0 1.13806- 2 5.15520- 3 8.00000+ 0 1.00000+ 1 2.29576- 2 5.34730- 3 8.00000+ 0 1.10000+ 1 4.01128- 2 5.52920- 3 8.00000+ 0 1.30000+ 1 3.12071- 2 5.86250- 3 8.00000+ 0 1.40000+ 1 4.25095- 2 5.90240- 3 8.00000+ 0 1.60000+ 1 4.55170- 3 6.83735- 3 8.00000+ 0 1.80000+ 1 5.11054- 3 6.91465- 3 8.00000+ 0 1.90000+ 1 8.79557- 3 6.95550- 3 8.00000+ 0 2.10000+ 1 5.86479- 3 7.08407- 3 8.00000+ 0 2.20000+ 1 7.91511- 3 7.09147- 3 8.00000+ 0 2.40000+ 1 2.84276- 4 7.24690- 3 8.00000+ 0 2.50000+ 1 2.05731- 4 7.24797- 3 8.00000+ 0 2.70000+ 1 7.12359- 4 7.20251- 3 8.00000+ 0 2.90000+ 1 6.53739- 4 7.22381- 3 8.00000+ 0 3.00000+ 1 1.06471- 3 7.22912- 3 8.00000+ 0 4.10000+ 1 5.36479- 5 7.25228- 3 1.00000+ 1 1.00000+ 1 8.13058- 5 5.53940- 3 1.00000+ 1 1.10000+ 1 6.35503- 4 5.72130- 3 1.00000+ 1 1.30000+ 1 1.20625- 3 6.05460- 3 1.00000+ 1 1.40000+ 1 1.24171- 2 6.09450- 3 1.00000+ 1 1.60000+ 1 3.63213- 3 7.02945- 3 1.00000+ 1 1.80000+ 1 1.49344- 5 7.10675- 3 1.00000+ 1 1.90000+ 1 1.28314- 4 7.14760- 3 1.00000+ 1 2.10000+ 1 2.17376- 4 7.27617- 3 1.00000+ 1 2.20000+ 1 1.49344- 3 7.28357- 3 1.00000+ 1 2.40000+ 1 9.90015- 5 7.43900- 3 1.00000+ 1 2.50000+ 1 2.16828- 4 7.44007- 3 1.00000+ 1 2.70000+ 1 5.39259- 4 7.39461- 3 1.00000+ 1 2.90000+ 1 1.65937- 6 7.41591- 3 1.00000+ 1 3.00000+ 1 1.54864- 5 7.42122- 3 1.00000+ 1 4.10000+ 1 4.03763- 5 7.44438- 3 1.10000+ 1 1.10000+ 1 9.97245- 4 5.90320- 3 1.10000+ 1 1.30000+ 1 6.25225- 3 6.23650- 3 1.10000+ 1 1.40000+ 1 4.04150- 3 6.27640- 3 1.10000+ 1 1.60000+ 1 6.31971- 3 7.21135- 3 1.10000+ 1 1.80000+ 1 1.33857- 4 7.28865- 3 1.10000+ 1 1.90000+ 1 3.24105- 4 7.32950- 3 1.10000+ 1 2.10000+ 1 5.69682- 4 7.45807- 3 1.10000+ 1 2.20000+ 1 3.69476- 4 7.46547- 3 1.10000+ 1 2.40000+ 1 2.52761- 4 7.62090- 3 1.10000+ 1 2.50000+ 1 1.28873- 4 7.62197- 3 1.10000+ 1 2.70000+ 1 9.38066- 4 7.57651- 3 1.10000+ 1 2.90000+ 1 1.71459- 5 7.59781- 3 1.10000+ 1 3.00000+ 1 3.70570- 5 7.60312- 3 1.10000+ 1 4.10000+ 1 7.02445- 5 7.62628- 3 1.30000+ 1 1.30000+ 1 1.83349- 3 6.56980- 3 1.30000+ 1 1.40000+ 1 6.01758- 2 6.60970- 3 1.30000+ 1 1.60000+ 1 4.58949- 3 7.54465- 3 1.30000+ 1 1.80000+ 1 3.37393- 4 7.62195- 3 1.30000+ 1 1.90000+ 1 1.46183- 3 7.66280- 3 1.30000+ 1 2.10000+ 1 6.75868- 4 7.79137- 3 1.30000+ 1 2.20000+ 1 7.95247- 3 7.79877- 3 1.30000+ 1 2.40000+ 1 3.28529- 4 7.95420- 3 1.30000+ 1 2.50000+ 1 5.73547- 4 7.95527- 3 1.30000+ 1 2.70000+ 1 6.73670- 4 7.90981- 3 1.30000+ 1 2.90000+ 1 4.48019- 5 7.93111- 3 1.30000+ 1 3.00000+ 1 1.78649- 4 7.93642- 3 1.30000+ 1 4.10000+ 1 5.03317- 5 7.95958- 3 1.40000+ 1 1.40000+ 1 1.68653- 2 6.64960- 3 1.40000+ 1 1.60000+ 1 6.31457- 3 7.58455- 3 1.40000+ 1 1.80000+ 1 2.48558- 3 7.66185- 3 1.40000+ 1 1.90000+ 1 9.91677- 4 7.70270- 3 1.40000+ 1 2.10000+ 1 7.81694- 3 7.83127- 3 1.40000+ 1 2.20000+ 1 4.69298- 3 7.83867- 3 1.40000+ 1 2.40000+ 1 1.02818- 3 7.99410- 3 1.40000+ 1 2.50000+ 1 4.91148- 4 7.99517- 3 1.40000+ 1 2.70000+ 1 9.29753- 4 7.94971- 3 1.40000+ 1 2.90000+ 1 3.12498- 4 7.97101- 3 1.40000+ 1 3.00000+ 1 1.22238- 4 7.97632- 3 1.40000+ 1 4.10000+ 1 6.91365- 5 7.99948- 3 1.60000+ 1 1.60000+ 1 4.30302- 4 8.51950- 3 1.60000+ 1 1.80000+ 1 8.10291- 4 8.59680- 3 1.60000+ 1 1.90000+ 1 1.38940- 3 8.63765- 3 1.60000+ 1 2.10000+ 1 8.61710- 4 8.76622- 3 1.60000+ 1 2.20000+ 1 1.16978- 3 8.77362- 3 1.60000+ 1 2.40000+ 1 3.42923- 5 8.92905- 3 1.60000+ 1 2.50000+ 1 2.43368- 5 8.93012- 3 1.60000+ 1 2.70000+ 1 1.33297- 4 8.88466- 3 1.60000+ 1 2.90000+ 1 1.03982- 4 8.90596- 3 1.60000+ 1 3.00000+ 1 1.68144- 4 8.91127- 3 1.60000+ 1 4.10000+ 1 9.95585- 6 8.93443- 3 1.80000+ 1 1.80000+ 1 5.53101- 7 8.67410- 3 1.80000+ 1 1.90000+ 1 2.71005- 5 8.71495- 3 1.80000+ 1 2.10000+ 1 5.19905- 5 8.84352- 3 1.80000+ 1 2.20000+ 1 3.09194- 4 8.85092- 3 1.80000+ 1 2.40000+ 1 1.32742- 5 9.00635- 3 1.80000+ 1 2.50000+ 1 3.26325- 5 9.00742- 3 1.80000+ 1 2.70000+ 1 1.20576- 4 8.96196- 3 1.80000+ 1 3.00000+ 1 3.31845- 6 8.98857- 3 1.80000+ 1 4.10000+ 1 8.84956- 6 9.01173- 3 1.90000+ 1 1.90000+ 1 2.59962- 5 8.75580- 3 1.90000+ 1 2.10000+ 1 1.47115- 4 8.88437- 3 1.90000+ 1 2.20000+ 1 1.00664- 4 8.89177- 3 1.90000+ 1 2.40000+ 1 4.42479- 5 9.04720- 3 1.90000+ 1 2.50000+ 1 2.21235- 5 9.04827- 3 1.90000+ 1 2.70000+ 1 2.06314- 4 9.00281- 3 1.90000+ 1 2.90000+ 1 3.31843- 6 9.02411- 3 1.90000+ 1 3.00000+ 1 6.08407- 6 9.02942- 3 1.90000+ 1 4.10000+ 1 1.54865- 5 9.05258- 3 2.10000+ 1 2.10000+ 1 5.80723- 5 9.01294- 3 2.10000+ 1 2.20000+ 1 1.12113- 3 9.02034- 3 2.10000+ 1 2.40000+ 1 4.20333- 5 9.17577- 3 2.10000+ 1 2.50000+ 1 5.69661- 5 9.17684- 3 2.10000+ 1 2.70000+ 1 1.26102- 4 9.13138- 3 2.10000+ 1 2.90000+ 1 6.63694- 6 9.15268- 3 2.10000+ 1 3.00000+ 1 1.82513- 5 9.15799- 3 2.10000+ 1 4.10000+ 1 9.40219- 6 9.18115- 3 2.20000+ 1 2.20000+ 1 3.48455- 4 9.02774- 3 2.20000+ 1 2.40000+ 1 1.06201- 4 9.18317- 3 2.20000+ 1 2.50000+ 1 5.64159- 5 9.18424- 3 2.20000+ 1 2.70000+ 1 1.72015- 4 9.13878- 3 2.20000+ 1 2.90000+ 1 3.92702- 5 9.16008- 3 2.20000+ 1 3.00000+ 1 1.27210- 5 9.16539- 3 2.20000+ 1 4.10000+ 1 1.27210- 5 9.18855- 3 2.40000+ 1 2.40000+ 1 6.12269- 7 9.33860- 3 2.40000+ 1 2.50000+ 1 7.95946- 6 9.33967- 3 2.40000+ 1 2.70000+ 1 5.51054- 6 9.29421- 3 2.40000+ 1 2.90000+ 1 1.83689- 6 9.31551- 3 2.40000+ 1 3.00000+ 1 5.51054- 6 9.32082- 3 2.40000+ 1 4.10000+ 1 6.12269- 7 9.34398- 3 2.50000+ 1 2.50000+ 1 1.57367- 6 9.34074- 3 2.50000+ 1 2.70000+ 1 3.14705- 6 9.29528- 3 2.50000+ 1 2.90000+ 1 3.67166- 6 9.31658- 3 2.50000+ 1 3.00000+ 1 2.62262- 6 9.32189- 3 2.70000+ 1 2.70000+ 1 2.16635- 5 9.24982- 3 2.70000+ 1 2.90000+ 1 3.19252- 5 9.27112- 3 2.70000+ 1 3.00000+ 1 5.13104- 5 9.27643- 3 2.70000+ 1 4.10000+ 1 3.42078- 6 9.29959- 3 2.90000+ 1 3.00000+ 1 2.17285- 6 9.29773- 3 2.90000+ 1 4.10000+ 1 4.34564- 6 9.32089- 3 3.00000+ 1 3.00000+ 1 8.26470- 7 9.30304- 3 3.00000+ 1 4.10000+ 1 2.47953- 6 9.32620- 3 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 9.56968- 7 8.67000- 4 8.00000+ 0 5.58209- 3 6.82620- 3 1.10000+ 1 1.27570- 4 7.20020- 3 1.30000+ 1 1.70000- 1 7.53350- 3 1.60000+ 1 1.16700- 3 8.50835- 3 1.90000+ 1 2.98989- 5 8.62650- 3 2.10000+ 1 2.99479- 2 8.75507- 3 2.40000+ 1 3.80809- 5 8.91790- 3 2.70000+ 1 2.07420- 4 8.87351- 3 3.00000+ 1 6.66899- 6 8.90012- 3 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 8.17967- 3 4.46650- 4 6.00000+ 0 1.80000+ 1 4.61712- 2 5.23950- 4 6.00000+ 0 1.90000+ 1 1.47740- 2 5.64800- 4 6.00000+ 0 2.10000+ 1 5.52672- 2 6.93370- 4 6.00000+ 0 2.20000+ 1 1.97282- 2 7.00770- 4 6.00000+ 0 2.40000+ 1 1.30329- 3 8.56200- 4 6.00000+ 0 2.50000+ 1 1.23786- 3 8.57270- 4 6.00000+ 0 2.70000+ 1 1.19813- 3 8.11810- 4 6.00000+ 0 2.90000+ 1 5.54568- 3 8.33110- 4 6.00000+ 0 3.00000+ 1 1.76524- 3 8.38420- 4 6.00000+ 0 4.10000+ 1 8.90648- 5 8.61580- 4 8.00000+ 0 8.00000+ 0 8.17552- 4 4.72370- 3 8.00000+ 0 1.00000+ 1 2.31676- 2 4.91580- 3 8.00000+ 0 1.10000+ 1 2.24527- 3 5.09770- 3 8.00000+ 0 1.30000+ 1 2.50347- 3 5.43100- 3 8.00000+ 0 1.40000+ 1 2.75189- 3 5.47090- 3 8.00000+ 0 1.60000+ 1 2.99889- 4 6.40585- 3 8.00000+ 0 1.80000+ 1 3.44904- 3 6.48315- 3 8.00000+ 0 1.90000+ 1 4.37665- 4 6.52400- 3 8.00000+ 0 2.10000+ 1 3.35377- 4 6.65257- 3 8.00000+ 0 2.20000+ 1 3.13802- 4 6.65997- 3 8.00000+ 0 2.40000+ 1 7.23632- 5 6.81540- 3 8.00000+ 0 2.50000+ 1 2.92227- 5 6.81647- 3 8.00000+ 0 2.70000+ 1 4.59220- 5 6.77101- 3 8.00000+ 0 2.90000+ 1 4.11222- 4 6.79231- 3 8.00000+ 0 3.00000+ 1 5.21847- 5 6.79762- 3 8.00000+ 0 4.10000+ 1 3.47888- 6 6.82078- 3 1.00000+ 1 1.00000+ 1 2.34424- 2 5.10790- 3 1.00000+ 1 1.10000+ 1 6.77282- 2 5.28980- 3 1.00000+ 1 1.30000+ 1 3.61195- 2 5.62310- 3 1.00000+ 1 1.40000+ 1 5.75536- 2 5.66300- 3 1.00000+ 1 1.60000+ 1 5.56995- 3 6.59795- 3 1.00000+ 1 1.80000+ 1 8.85181- 3 6.67525- 3 1.00000+ 1 1.90000+ 1 1.45845- 2 6.71610- 3 1.00000+ 1 2.10000+ 1 6.78965- 3 6.84467- 3 1.00000+ 1 2.20000+ 1 1.07736- 2 6.85207- 3 1.00000+ 1 2.40000+ 1 3.20080- 4 7.00750- 3 1.00000+ 1 2.50000+ 1 1.86475- 4 7.00857- 3 1.00000+ 1 2.70000+ 1 8.96190- 4 6.96311- 3 1.00000+ 1 2.90000+ 1 1.10569- 3 6.98441- 3 1.00000+ 1 3.00000+ 1 1.76040- 3 6.98972- 3 1.00000+ 1 4.10000+ 1 6.74933- 5 7.01288- 3 1.10000+ 1 1.10000+ 1 1.69774- 3 5.47170- 3 1.10000+ 1 1.30000+ 1 3.90239- 2 5.80500- 3 1.10000+ 1 1.40000+ 1 5.37853- 3 5.84490- 3 1.10000+ 1 1.60000+ 1 4.58531- 4 6.77985- 3 1.10000+ 1 1.80000+ 1 1.04133- 2 6.85715- 3 1.10000+ 1 1.90000+ 1 6.21339- 4 6.89800- 3 1.10000+ 1 2.10000+ 1 6.19756- 3 7.02657- 3 1.10000+ 1 2.20000+ 1 8.07798- 4 7.03397- 3 1.10000+ 1 2.40000+ 1 1.76730- 4 7.18940- 3 1.10000+ 1 2.50000+ 1 6.12285- 5 7.19047- 3 1.10000+ 1 2.70000+ 1 7.16661- 5 7.14501- 3 1.10000+ 1 2.90000+ 1 1.24890- 3 7.16631- 3 1.10000+ 1 3.00000+ 1 7.30573- 5 7.17162- 3 1.10000+ 1 4.10000+ 1 5.56646- 6 7.19478- 3 1.30000+ 1 1.30000+ 1 3.64209- 2 6.13830- 3 1.30000+ 1 1.40000+ 1 1.51229- 1 6.17820- 3 1.30000+ 1 1.60000+ 1 6.03967- 4 7.11315- 3 1.30000+ 1 1.80000+ 1 5.49343- 3 7.19045- 3 1.30000+ 1 1.90000+ 1 7.88284- 3 7.23130- 3 1.30000+ 1 2.10000+ 1 1.14924- 2 7.35987- 3 1.30000+ 1 2.20000+ 1 2.56181- 2 7.36727- 3 1.30000+ 1 2.40000+ 1 1.25318- 3 7.52270- 3 1.30000+ 1 2.50000+ 1 1.59758- 3 7.52377- 3 1.30000+ 1 2.70000+ 1 9.74103- 5 7.47831- 3 1.30000+ 1 2.90000+ 1 6.62422- 4 7.49961- 3 1.30000+ 1 3.00000+ 1 9.40743- 4 7.50492- 3 1.30000+ 1 4.10000+ 1 7.65399- 6 7.52808- 3 1.40000+ 1 1.40000+ 1 7.26272- 3 6.21810- 3 1.40000+ 1 1.60000+ 1 5.43414- 4 7.15305- 3 1.40000+ 1 1.80000+ 1 7.75399- 3 7.23035- 3 1.40000+ 1 1.90000+ 1 9.94995- 4 7.27120- 3 1.40000+ 1 2.10000+ 1 1.98303- 2 7.39977- 3 1.40000+ 1 2.20000+ 1 2.23345- 3 7.40717- 3 1.40000+ 1 2.40000+ 1 5.07927- 4 7.56260- 3 1.40000+ 1 2.50000+ 1 1.22460- 4 7.56367- 3 1.40000+ 1 2.70000+ 1 8.41867- 5 7.51821- 3 1.40000+ 1 2.90000+ 1 9.07336- 4 7.53951- 3 1.40000+ 1 3.00000+ 1 1.16885- 4 7.54482- 3 1.40000+ 1 4.10000+ 1 6.26224- 6 7.56798- 3 1.60000+ 1 1.60000+ 1 2.64402- 5 8.08800- 3 1.60000+ 1 1.80000+ 1 8.34983- 4 8.16530- 3 1.60000+ 1 1.90000+ 1 8.97601- 5 8.20615- 3 1.60000+ 1 2.10000+ 1 7.79293- 5 8.33472- 3 1.60000+ 1 2.20000+ 1 6.26233- 5 8.34212- 3 1.60000+ 1 2.40000+ 1 1.53079- 5 8.49755- 3 1.60000+ 1 2.50000+ 1 4.87045- 6 8.49862- 3 1.60000+ 1 2.70000+ 1 8.34983- 6 8.45316- 3 1.60000+ 1 2.90000+ 1 9.95010- 5 8.47446- 3 1.60000+ 1 3.00000+ 1 1.04365- 5 8.47977- 3 1.60000+ 1 4.10000+ 1 6.95797- 7 8.50293- 3 1.80000+ 1 1.80000+ 1 7.96700- 4 8.24260- 3 1.80000+ 1 1.90000+ 1 2.24738- 3 8.28345- 3 1.80000+ 1 2.10000+ 1 1.01512- 3 8.41202- 3 1.80000+ 1 2.20000+ 1 1.46324- 3 8.41942- 3 1.80000+ 1 2.40000+ 1 3.89645- 5 8.57485- 3 1.80000+ 1 2.50000+ 1 1.87860- 5 8.57592- 3 1.80000+ 1 2.70000+ 1 1.34287- 4 8.53046- 3 1.80000+ 1 2.90000+ 1 1.97609- 4 8.55176- 3 1.80000+ 1 3.00000+ 1 2.71357- 4 8.55707- 3 1.80000+ 1 4.10000+ 1 1.04365- 5 8.58023- 3 1.90000+ 1 1.90000+ 1 5.74268- 5 8.32430- 3 1.90000+ 1 2.10000+ 1 1.27043- 3 8.45287- 3 1.90000+ 1 2.20000+ 1 1.54074- 4 8.46027- 3 1.90000+ 1 2.40000+ 1 2.87124- 5 8.61570- 3 1.90000+ 1 2.50000+ 1 9.10453- 6 8.61677- 3 1.90000+ 1 2.70000+ 1 1.40061- 5 8.57131- 3 1.90000+ 1 2.90000+ 1 2.71040- 4 8.59261- 3 1.90000+ 1 3.00000+ 1 1.33059- 5 8.59792- 3 1.90000+ 1 4.10000+ 1 1.40061- 6 8.62108- 3 2.10000+ 1 2.10000+ 1 8.95468- 4 8.58144- 3 2.10000+ 1 2.20000+ 1 3.48455- 3 8.58884- 3 2.10000+ 1 2.40000+ 1 1.37071- 4 8.74427- 3 2.10000+ 1 2.50000+ 1 1.77428- 4 8.74534- 3 2.10000+ 1 2.70000+ 1 1.25245- 5 8.69988- 3 2.10000+ 1 2.90000+ 1 1.21767- 4 8.72118- 3 2.10000+ 1 3.00000+ 1 1.50984- 4 8.72649- 3 2.10000+ 1 4.10000+ 1 6.95801- 7 8.74965- 3 2.20000+ 1 2.20000+ 1 2.54050- 4 8.59624- 3 2.20000+ 1 2.40000+ 1 8.77429- 5 8.75167- 3 2.20000+ 1 2.50000+ 1 2.14253- 5 8.75274- 3 2.20000+ 1 2.70000+ 1 1.42834- 5 8.70728- 3 2.20000+ 1 2.90000+ 1 2.52010- 4 8.72858- 3 2.20000+ 1 3.00000+ 1 2.65269- 5 8.73389- 3 2.20000+ 1 4.10000+ 1 1.02028- 6 8.75705- 3 2.40000+ 1 2.40000+ 1 2.85044- 6 8.90710- 3 2.40000+ 1 2.50000+ 1 1.04521- 5 8.90817- 3 2.40000+ 1 2.70000+ 1 2.85044- 6 8.86271- 3 2.40000+ 1 2.90000+ 1 6.65115- 6 8.88401- 3 2.40000+ 1 3.00000+ 1 4.75081- 6 8.88932- 3 2.50000+ 1 2.50000+ 1 9.89165- 7 8.90924- 3 2.50000+ 1 2.70000+ 1 9.89165- 7 8.86378- 3 2.50000+ 1 2.90000+ 1 2.96736- 6 8.88508- 3 2.50000+ 1 3.00000+ 1 1.97829- 6 8.89039- 3 2.70000+ 1 2.70000+ 1 1.30194- 6 8.81832- 3 2.70000+ 1 2.90000+ 1 2.99432- 5 8.83962- 3 2.70000+ 1 3.00000+ 1 2.60383- 6 8.84493- 3 2.90000+ 1 2.90000+ 1 2.64110- 5 8.86092- 3 2.90000+ 1 3.00000+ 1 6.89603- 5 8.86623- 3 2.90000+ 1 4.10000+ 1 2.93448- 6 8.88939- 3 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.03919- 2 5.95920- 3 1.00000+ 1 7.46295- 5 6.15130- 3 1.10000+ 1 6.81875- 5 6.33320- 3 1.30000+ 1 1.55479- 2 6.66650- 3 1.40000+ 1 1.37399- 1 6.70640- 3 1.60000+ 1 1.53739- 3 7.64135- 3 1.80000+ 1 1.30609- 5 7.71865- 3 1.90000+ 1 1.26679- 5 7.75950- 3 2.10000+ 1 2.60558- 3 7.88807- 3 2.20000+ 1 2.33078- 2 7.89547- 3 2.40000+ 1 5.37266- 6 8.05090- 3 2.50000+ 1 3.05558- 5 8.05197- 3 2.70000+ 1 2.93478- 4 8.00651- 3 2.90000+ 1 2.99558- 6 8.02781- 3 3.00000+ 1 2.57848- 6 8.03312- 3 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.09134- 3 3.85670- 3 8.00000+ 0 1.00000+ 1 6.70461- 4 4.04880- 3 8.00000+ 0 1.10000+ 1 2.55484- 2 4.23070- 3 8.00000+ 0 1.30000+ 1 2.68757- 3 4.56400- 3 8.00000+ 0 1.40000+ 1 3.50049- 3 4.60390- 3 8.00000+ 0 1.60000+ 1 4.01428- 4 5.53885- 3 8.00000+ 0 1.80000+ 1 1.17980- 4 5.61615- 3 8.00000+ 0 1.90000+ 1 3.76092- 3 5.65700- 3 8.00000+ 0 2.10000+ 1 2.49620- 4 5.78557- 3 8.00000+ 0 2.20000+ 1 2.91342- 4 5.79297- 3 8.00000+ 0 2.40000+ 1 1.07911- 4 5.94840- 3 8.00000+ 0 2.50000+ 1 1.21579- 4 5.94947- 3 8.00000+ 0 2.70000+ 1 6.11470- 5 5.90401- 3 8.00000+ 0 2.90000+ 1 1.43883- 5 5.92531- 3 8.00000+ 0 3.00000+ 1 4.25873- 4 5.93062- 3 8.00000+ 0 4.10000+ 1 4.31616- 6 5.95378- 3 1.00000+ 1 1.00000+ 1 1.69773- 4 4.24090- 3 1.00000+ 1 1.10000+ 1 4.28130- 2 4.42280- 3 1.00000+ 1 1.30000+ 1 2.47114- 3 4.75610- 3 1.00000+ 1 1.40000+ 1 2.20688- 2 4.79600- 3 1.00000+ 1 1.60000+ 1 1.33085- 4 5.73095- 3 1.00000+ 1 1.80000+ 1 6.25858- 5 5.80825- 3 1.00000+ 1 1.90000+ 1 6.54064- 3 5.84910- 3 1.00000+ 1 2.10000+ 1 4.24430- 4 5.97767- 3 1.00000+ 1 2.20000+ 1 3.19056- 3 5.98507- 3 1.00000+ 1 2.40000+ 1 1.17263- 4 6.14050- 3 1.00000+ 1 2.50000+ 1 1.93511- 4 6.14157- 3 1.00000+ 1 2.70000+ 1 2.08615- 5 6.09611- 3 1.00000+ 1 2.90000+ 1 7.91325- 6 6.11741- 3 1.00000+ 1 3.00000+ 1 7.44557- 4 6.12272- 3 1.00000+ 1 4.10000+ 1 1.43883- 6 6.14588- 3 1.10000+ 1 1.10000+ 1 5.76007- 2 4.60470- 3 1.10000+ 1 1.30000+ 1 5.96733- 2 4.93800- 3 1.10000+ 1 1.40000+ 1 8.63080- 2 4.97790- 3 1.10000+ 1 1.60000+ 1 6.07258- 3 5.91285- 3 1.10000+ 1 1.80000+ 1 9.06403- 3 5.99015- 3 1.10000+ 1 1.90000+ 1 2.11177- 2 6.03100- 3 1.10000+ 1 2.10000+ 1 1.06862- 2 6.15957- 3 1.10000+ 1 2.20000+ 1 1.51922- 2 6.16697- 3 1.10000+ 1 2.40000+ 1 5.19401- 4 6.32240- 3 1.10000+ 1 2.50000+ 1 4.15105- 4 6.32347- 3 1.10000+ 1 2.70000+ 1 9.75505- 4 6.27801- 3 1.10000+ 1 2.90000+ 1 1.15102- 3 6.29931- 3 1.10000+ 1 3.00000+ 1 2.48908- 3 6.30462- 3 1.10000+ 1 4.10000+ 1 7.33793- 5 6.32778- 3 1.30000+ 1 1.30000+ 1 8.60256- 3 5.27130- 3 1.30000+ 1 1.40000+ 1 1.62954- 1 5.31120- 3 1.30000+ 1 1.60000+ 1 6.09325- 4 6.24615- 3 1.30000+ 1 1.80000+ 1 5.28049- 4 6.32345- 3 1.30000+ 1 1.90000+ 1 8.42149- 3 6.36430- 3 1.30000+ 1 2.10000+ 1 2.68119- 3 6.49287- 3 1.30000+ 1 2.20000+ 1 2.14029- 2 6.50027- 3 1.30000+ 1 2.40000+ 1 2.94232- 4 6.65570- 3 1.30000+ 1 2.50000+ 1 6.28038- 4 6.65677- 3 1.30000+ 1 2.70000+ 1 9.71155- 5 6.61131- 3 1.30000+ 1 2.90000+ 1 6.69045- 5 6.63261- 3 1.30000+ 1 3.00000+ 1 9.46012- 4 6.63792- 3 1.30000+ 1 4.10000+ 1 7.19413- 6 6.66108- 3 1.40000+ 1 1.40000+ 1 1.09701- 1 5.35110- 3 1.40000+ 1 1.60000+ 1 8.34449- 4 6.28605- 3 1.40000+ 1 1.80000+ 1 4.30063- 3 6.36335- 3 1.40000+ 1 1.90000+ 1 1.37272- 2 6.40420- 3 1.40000+ 1 2.10000+ 1 2.56872- 2 6.53277- 3 1.40000+ 1 2.20000+ 1 3.26134- 2 6.54017- 3 1.40000+ 1 2.40000+ 1 3.13942- 3 6.69560- 3 1.40000+ 1 2.50000+ 1 1.79055- 3 6.69667- 3 1.40000+ 1 2.70000+ 1 1.34532- 4 6.65121- 3 1.40000+ 1 2.90000+ 1 5.38118- 4 6.67251- 3 1.40000+ 1 3.00000+ 1 1.58189- 3 6.67782- 3 1.40000+ 1 4.10000+ 1 1.00717- 5 6.70098- 3 1.60000+ 1 1.60000+ 1 3.66882- 5 7.22100- 3 1.60000+ 1 1.80000+ 1 2.37403- 5 7.29830- 3 1.60000+ 1 1.90000+ 1 8.95647- 4 7.33915- 3 1.60000+ 1 2.10000+ 1 6.18683- 5 7.46772- 3 1.60000+ 1 2.20000+ 1 7.55371- 5 7.47512- 3 1.60000+ 1 2.40000+ 1 1.58272- 5 7.63055- 3 1.60000+ 1 2.50000+ 1 2.01432- 5 7.63162- 3 1.60000+ 1 2.70000+ 1 1.15102- 5 7.58616- 3 1.60000+ 1 2.90000+ 1 2.87750- 6 7.60746- 3 1.60000+ 1 3.00000+ 1 1.01433- 4 7.61277- 3 1.60000+ 1 4.10000+ 1 7.19409- 7 7.63593- 3 1.80000+ 1 1.80000+ 1 5.03548- 6 7.37560- 3 1.80000+ 1 1.90000+ 1 1.38049- 3 7.41645- 3 1.80000+ 1 2.10000+ 1 8.77691- 5 7.54502- 3 1.80000+ 1 2.20000+ 1 6.48168- 4 7.55242- 3 1.80000+ 1 2.40000+ 1 1.65456- 5 7.70785- 3 1.80000+ 1 2.50000+ 1 2.66170- 5 7.70892- 3 1.80000+ 1 2.70000+ 1 3.59684- 6 7.66346- 3 1.80000+ 1 2.90000+ 1 1.43883- 6 7.68476- 3 1.80000+ 1 3.00000+ 1 1.56822- 4 7.69007- 3 1.90000+ 1 1.90000+ 1 1.80354- 3 7.45730- 3 1.90000+ 1 2.10000+ 1 1.46351- 3 7.58587- 3 1.90000+ 1 2.20000+ 1 2.30677- 3 7.59327- 3 1.90000+ 1 2.40000+ 1 5.85403- 5 7.74870- 3 1.90000+ 1 2.50000+ 1 4.94808- 5 7.74977- 3 1.90000+ 1 2.70000+ 1 1.39387- 4 7.70431- 3 1.90000+ 1 2.90000+ 1 1.69347- 4 7.72561- 3 1.90000+ 1 3.00000+ 1 4.22333- 4 7.73092- 3 1.90000+ 1 4.10000+ 1 1.04540- 5 7.75408- 3 2.10000+ 1 2.10000+ 1 2.02149- 4 7.71444- 3 2.10000+ 1 2.20000+ 1 3.49906- 3 7.72184- 3 2.10000+ 1 2.40000+ 1 3.16544- 5 7.87727- 3 2.10000+ 1 2.50000+ 1 6.47465- 5 7.87834- 3 2.10000+ 1 2.70000+ 1 1.00719- 5 7.83288- 3 2.10000+ 1 2.90000+ 1 1.07914- 5 7.85418- 3 2.10000+ 1 3.00000+ 1 1.69777- 4 7.85949- 3 2.10000+ 1 4.10000+ 1 7.19407- 7 7.88265- 3 2.20000+ 1 2.20000+ 1 2.80047- 3 7.72924- 3 2.20000+ 1 2.40000+ 1 3.77255- 4 7.88467- 3 2.20000+ 1 2.50000+ 1 2.12613- 4 7.88574- 3 2.20000+ 1 2.70000+ 1 1.40644- 5 7.84028- 3 2.20000+ 1 2.90000+ 1 9.34815- 5 7.86158- 3 2.20000+ 1 3.00000+ 1 3.14368- 4 7.86689- 3 2.20000+ 1 4.10000+ 1 8.27317- 7 7.89005- 3 2.40000+ 1 2.40000+ 1 1.10833- 6 8.04010- 3 2.40000+ 1 2.50000+ 1 1.88417- 5 8.04117- 3 2.40000+ 1 2.70000+ 1 3.32491- 6 7.99571- 3 2.40000+ 1 2.90000+ 1 3.32491- 6 8.01701- 3 2.40000+ 1 3.00000+ 1 9.97493- 6 8.02232- 3 2.50000+ 1 2.50000+ 1 4.31607- 6 8.04224- 3 2.50000+ 1 2.70000+ 1 2.87737- 6 7.99678- 3 2.50000+ 1 2.90000+ 1 2.87737- 6 8.01808- 3 2.50000+ 1 3.00000+ 1 5.75508- 6 8.02339- 3 2.70000+ 1 2.70000+ 1 1.31930- 6 7.95132- 3 2.70000+ 1 2.90000+ 1 1.31930- 6 7.97262- 3 2.70000+ 1 3.00000+ 1 3.03432- 5 7.97793- 3 2.90000+ 1 3.00000+ 1 5.61806- 5 7.99923- 3 3.00000+ 1 3.00000+ 1 1.11223- 4 8.00454- 3 3.00000+ 1 4.10000+ 1 6.35589- 6 8.02770- 3 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 9.81223- 6 1.92100- 4 1.10000+ 1 1.46277- 4 3.74000- 4 1.80000+ 1 5.60982- 4 1.75945- 3 1.90000+ 1 6.19085- 4 1.80030- 3 2.90000+ 1 1.28638- 4 2.06861- 3 3.00000+ 1 1.31922- 4 2.07392- 3 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 6.46495- 2 1.84700- 5 1.00000+ 1 2.20000+ 1 9.61854- 2 2.58700- 5 1.00000+ 1 2.40000+ 1 3.03071- 2 1.81300- 4 1.00000+ 1 2.50000+ 1 4.02891- 2 1.82370- 4 1.00000+ 1 2.70000+ 1 8.08885- 3 1.36910- 4 1.00000+ 1 2.90000+ 1 6.75251- 3 1.58210- 4 1.00000+ 1 3.00000+ 1 9.98954- 3 1.63520- 4 1.00000+ 1 4.10000+ 1 5.98665- 4 1.86680- 4 1.10000+ 1 1.80000+ 1 6.58979- 2 3.09500- 5 1.10000+ 1 1.90000+ 1 8.67482- 2 7.18000- 5 1.10000+ 1 2.10000+ 1 3.72335- 2 2.00370- 4 1.10000+ 1 2.20000+ 1 5.35849- 2 2.07770- 4 1.10000+ 1 2.40000+ 1 9.13118- 2 3.63200- 4 1.10000+ 1 2.50000+ 1 1.13990- 1 3.64270- 4 1.10000+ 1 2.70000+ 1 9.34578- 3 3.18810- 4 1.10000+ 1 2.90000+ 1 7.84352- 3 3.40110- 4 1.10000+ 1 3.00000+ 1 1.01804- 2 3.45420- 4 1.10000+ 1 4.10000+ 1 6.94707- 4 3.68580- 4 1.30000+ 1 1.60000+ 1 2.49552- 2 2.86950- 4 1.30000+ 1 1.80000+ 1 5.52401- 3 3.64250- 4 1.30000+ 1 1.90000+ 1 5.02963- 3 4.05100- 4 1.30000+ 1 2.10000+ 1 8.11195- 3 5.33670- 4 1.30000+ 1 2.20000+ 1 1.01757- 2 5.41070- 4 1.30000+ 1 2.40000+ 1 4.63748- 3 6.96500- 4 1.30000+ 1 2.50000+ 1 4.35486- 3 6.97570- 4 1.30000+ 1 2.70000+ 1 2.67831- 3 6.52110- 4 1.30000+ 1 2.90000+ 1 5.53635- 4 6.73410- 4 1.30000+ 1 3.00000+ 1 4.70738- 4 6.78720- 4 1.30000+ 1 4.10000+ 1 1.92663- 4 7.01880- 4 1.40000+ 1 1.60000+ 1 3.57748- 2 3.26850- 4 1.40000+ 1 1.80000+ 1 1.13094- 3 4.04150- 4 1.40000+ 1 1.90000+ 1 1.05701- 2 4.45000- 4 1.40000+ 1 2.10000+ 1 1.10552- 2 5.73570- 4 1.40000+ 1 2.20000+ 1 1.65178- 2 5.80970- 4 1.40000+ 1 2.40000+ 1 5.31927- 3 7.36400- 4 1.40000+ 1 2.50000+ 1 8.23628- 3 7.37470- 4 1.40000+ 1 2.70000+ 1 3.81338- 3 6.92010- 4 1.40000+ 1 2.90000+ 1 1.14842- 4 7.13310- 4 1.40000+ 1 3.00000+ 1 9.88505- 4 7.18620- 4 1.40000+ 1 4.10000+ 1 2.74131- 4 7.41780- 4 1.60000+ 1 1.60000+ 1 4.43285- 3 1.26180- 3 1.60000+ 1 1.80000+ 1 7.49030- 3 1.33910- 3 1.60000+ 1 1.90000+ 1 1.31737- 2 1.37995- 3 1.60000+ 1 2.10000+ 1 1.43420- 2 1.50852- 3 1.60000+ 1 2.20000+ 1 2.05782- 2 1.51592- 3 1.60000+ 1 2.40000+ 1 5.30532- 3 1.67135- 3 1.60000+ 1 2.50000+ 1 6.67974- 3 1.67242- 3 1.60000+ 1 2.70000+ 1 1.18006- 3 1.62696- 3 1.60000+ 1 2.90000+ 1 9.53620- 4 1.64826- 3 1.60000+ 1 3.00000+ 1 1.58700- 3 1.65357- 3 1.60000+ 1 4.10000+ 1 8.73549- 5 1.67673- 3 1.80000+ 1 1.80000+ 1 3.68413- 4 1.41640- 3 1.80000+ 1 1.90000+ 1 9.57750- 4 1.45725- 3 1.80000+ 1 2.10000+ 1 5.49974- 4 1.58582- 3 1.80000+ 1 2.20000+ 1 2.96580- 4 1.59322- 3 1.80000+ 1 2.40000+ 1 7.72023- 5 1.74865- 3 1.80000+ 1 2.50000+ 1 3.69173- 4 1.74972- 3 1.80000+ 1 2.70000+ 1 7.86533- 4 1.70426- 3 1.80000+ 1 2.90000+ 1 7.45260- 5 1.72556- 3 1.80000+ 1 3.00000+ 1 9.01944- 5 1.73087- 3 1.80000+ 1 4.10000+ 1 5.65634- 5 1.75403- 3 1.90000+ 1 1.90000+ 1 1.24096- 3 1.49810- 3 1.90000+ 1 2.10000+ 1 8.22471- 4 1.62667- 3 1.90000+ 1 2.20000+ 1 2.00117- 3 1.63407- 3 1.90000+ 1 2.40000+ 1 3.90230- 4 1.78950- 3 1.90000+ 1 2.50000+ 1 7.30732- 4 1.79057- 3 1.90000+ 1 2.70000+ 1 1.38887- 3 1.74511- 3 1.90000+ 1 2.90000+ 1 1.03190- 4 1.76641- 3 1.90000+ 1 3.00000+ 1 2.52637- 4 1.77172- 3 1.90000+ 1 4.10000+ 1 9.97488- 5 1.79488- 3 2.10000+ 1 2.10000+ 1 1.65105- 4 1.75524- 3 2.10000+ 1 2.20000+ 1 7.94190- 4 1.76264- 3 2.10000+ 1 2.40000+ 1 3.65380- 4 1.91807- 3 2.10000+ 1 2.50000+ 1 2.71708- 3 1.91914- 3 2.10000+ 1 2.70000+ 1 1.48627- 3 1.87368- 3 2.10000+ 1 2.90000+ 1 5.04468- 5 1.89498- 3 2.10000+ 1 3.00000+ 1 7.91127- 5 1.90029- 3 2.10000+ 1 4.10000+ 1 1.06632- 4 1.92345- 3 2.20000+ 1 2.20000+ 1 4.44099- 4 1.77004- 3 2.20000+ 1 2.40000+ 1 2.69842- 3 1.92547- 3 2.20000+ 1 2.50000+ 1 1.52871- 3 1.92654- 3 2.20000+ 1 2.70000+ 1 2.12915- 3 1.88108- 3 2.20000+ 1 2.90000+ 1 2.86629- 5 1.90238- 3 2.20000+ 1 3.00000+ 1 1.91482- 4 1.90769- 3 2.20000+ 1 4.10000+ 1 1.52491- 4 1.93085- 3 2.40000+ 1 2.40000+ 1 2.44993- 4 2.08090- 3 2.40000+ 1 2.50000+ 1 1.93774- 3 2.08197- 3 2.40000+ 1 2.70000+ 1 5.08686- 4 2.03651- 3 2.40000+ 1 2.90000+ 1 6.87946- 6 2.05781- 3 2.40000+ 1 3.00000+ 1 3.21045- 5 2.06312- 3 2.40000+ 1 4.10000+ 1 3.63077- 5 2.08628- 3 2.50000+ 1 2.50000+ 1 6.11730- 4 2.08304- 3 2.50000+ 1 2.70000+ 1 6.50583- 4 2.03758- 3 2.50000+ 1 2.90000+ 1 4.35278- 5 2.05888- 3 2.50000+ 1 3.00000+ 1 6.10160- 5 2.06419- 3 2.50000+ 1 4.10000+ 1 4.62466- 5 2.08735- 3 2.70000+ 1 2.70000+ 1 1.15929- 4 1.99212- 3 2.70000+ 1 2.90000+ 1 1.57977- 4 2.01342- 3 2.70000+ 1 3.00000+ 1 2.63086- 4 2.01873- 3 2.70000+ 1 4.10000+ 1 1.68188- 5 2.04189- 3 2.90000+ 1 2.90000+ 1 6.82415- 6 2.03472- 3 2.90000+ 1 3.00000+ 1 1.70604- 5 2.04003- 3 2.90000+ 1 4.10000+ 1 1.29656- 5 2.06319- 3 3.00000+ 1 3.00000+ 1 2.89667- 5 2.04534- 3 3.00000+ 1 4.10000+ 1 2.80884- 5 2.06850- 3 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 5.60644- 4 5.15200- 4 1.60000+ 1 4.74877- 4 1.49005- 3 2.10000+ 1 2.39469- 3 1.73677- 3 2.70000+ 1 8.69575- 5 1.85521- 3 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.04753- 2 8.27000- 6 1.10000+ 1 2.20000+ 1 2.51295- 2 1.56700- 5 1.10000+ 1 2.40000+ 1 2.25903- 2 1.71100- 4 1.10000+ 1 2.50000+ 1 2.41868- 2 1.72170- 4 1.10000+ 1 2.70000+ 1 4.18081- 3 1.26710- 4 1.10000+ 1 2.90000+ 1 4.27596- 3 1.48010- 4 1.10000+ 1 3.00000+ 1 4.13007- 3 1.53320- 4 1.10000+ 1 4.10000+ 1 2.96085- 4 1.76480- 4 1.30000+ 1 1.60000+ 1 6.96294- 2 9.48500- 5 1.30000+ 1 1.80000+ 1 6.95598- 2 1.72150- 4 1.30000+ 1 1.90000+ 1 8.66525- 2 2.13000- 4 1.30000+ 1 2.10000+ 1 2.95705- 2 3.41570- 4 1.30000+ 1 2.20000+ 1 3.38980- 2 3.48970- 4 1.30000+ 1 2.40000+ 1 1.07307- 1 5.04400- 4 1.30000+ 1 2.50000+ 1 1.61059- 1 5.05470- 4 1.30000+ 1 2.70000+ 1 1.10797- 2 4.60010- 4 1.30000+ 1 2.90000+ 1 7.66257- 3 4.81310- 4 1.30000+ 1 3.00000+ 1 1.00039- 2 4.86620- 4 1.30000+ 1 4.10000+ 1 8.32095- 4 5.09780- 4 1.40000+ 1 1.60000+ 1 1.16864- 2 1.34750- 4 1.40000+ 1 1.80000+ 1 7.99382- 2 2.12050- 4 1.40000+ 1 1.90000+ 1 7.54926- 3 2.52900- 4 1.40000+ 1 2.10000+ 1 1.26361- 3 3.81470- 4 1.40000+ 1 2.20000+ 1 3.92510- 3 3.88870- 4 1.40000+ 1 2.40000+ 1 3.37281- 3 5.44300- 4 1.40000+ 1 2.50000+ 1 2.66123- 3 5.45370- 4 1.40000+ 1 2.70000+ 1 1.23807- 3 4.99910- 4 1.40000+ 1 2.90000+ 1 7.13175- 3 5.21210- 4 1.40000+ 1 3.00000+ 1 7.99064- 4 5.26520- 4 1.40000+ 1 4.10000+ 1 8.94219- 5 5.49680- 4 1.60000+ 1 1.60000+ 1 8.76162- 4 1.06970- 3 1.60000+ 1 1.80000+ 1 1.21621- 2 1.14700- 3 1.60000+ 1 1.90000+ 1 1.88938- 3 1.18785- 3 1.60000+ 1 2.10000+ 1 3.93965- 4 1.31642- 3 1.60000+ 1 2.20000+ 1 1.40271- 3 1.32382- 3 1.60000+ 1 2.40000+ 1 5.15010- 5 1.47925- 3 1.60000+ 1 2.50000+ 1 5.53628- 4 1.48032- 3 1.60000+ 1 2.70000+ 1 2.20165- 4 1.43486- 3 1.60000+ 1 2.90000+ 1 1.04802- 3 1.45616- 3 1.60000+ 1 3.00000+ 1 2.06000- 4 1.46147- 3 1.60000+ 1 4.10000+ 1 1.60937- 5 1.48463- 3 1.80000+ 1 1.80000+ 1 9.12220- 3 1.22430- 3 1.80000+ 1 1.90000+ 1 2.71998- 2 1.26515- 3 1.80000+ 1 2.10000+ 1 2.56844- 2 1.39372- 3 1.80000+ 1 2.20000+ 1 4.19798- 2 1.40112- 3 1.80000+ 1 2.40000+ 1 7.88128- 3 1.55655- 3 1.80000+ 1 2.50000+ 1 1.35020- 2 1.55762- 3 1.80000+ 1 2.70000+ 1 1.95007- 3 1.51216- 3 1.80000+ 1 2.90000+ 1 1.97474- 3 1.53346- 3 1.80000+ 1 3.00000+ 1 3.25377- 3 1.53877- 3 1.80000+ 1 4.10000+ 1 1.47311- 4 1.56193- 3 1.90000+ 1 1.90000+ 1 7.74663- 4 1.30600- 3 1.90000+ 1 2.10000+ 1 2.16031- 3 1.43457- 3 1.90000+ 1 2.20000+ 1 1.72040- 3 1.44197- 3 1.90000+ 1 2.40000+ 1 5.86998- 3 1.59740- 3 1.90000+ 1 2.50000+ 1 1.65717- 3 1.59847- 3 1.90000+ 1 2.70000+ 1 2.08311- 4 1.55301- 3 1.90000+ 1 2.90000+ 1 2.45907- 3 1.57431- 3 1.90000+ 1 3.00000+ 1 1.57064- 4 1.57962- 3 1.90000+ 1 4.10000+ 1 1.46415- 5 1.60278- 3 2.10000+ 1 2.10000+ 1 8.75905- 4 1.56314- 3 2.10000+ 1 2.20000+ 1 2.55622- 3 1.57054- 3 2.10000+ 1 2.40000+ 1 7.23735- 4 1.72597- 3 2.10000+ 1 2.50000+ 1 1.33766- 3 1.72704- 3 2.10000+ 1 2.70000+ 1 5.82165- 5 1.68158- 3 2.10000+ 1 2.90000+ 1 2.25849- 3 1.70288- 3 2.10000+ 1 3.00000+ 1 2.20958- 4 1.70819- 3 2.10000+ 1 4.10000+ 1 4.63087- 6 1.73135- 3 2.20000+ 1 2.20000+ 1 5.97367- 4 1.57794- 3 2.20000+ 1 2.40000+ 1 2.44122- 3 1.73337- 3 2.20000+ 1 2.50000+ 1 5.15351- 4 1.73444- 3 2.20000+ 1 2.70000+ 1 1.81925- 4 1.68898- 3 2.20000+ 1 2.90000+ 1 3.74590- 3 1.71028- 3 2.20000+ 1 3.00000+ 1 1.61419- 4 1.71559- 3 2.20000+ 1 4.10000+ 1 1.32309- 5 1.73875- 3 2.40000+ 1 2.40000+ 1 1.00822- 3 1.88880- 3 2.40000+ 1 2.50000+ 1 6.91525- 3 1.88987- 3 2.40000+ 1 2.70000+ 1 2.65660- 6 1.84441- 3 2.40000+ 1 2.90000+ 1 6.40899- 4 1.86571- 3 2.40000+ 1 3.00000+ 1 6.56859- 4 1.87102- 3 2.50000+ 1 2.50000+ 1 3.44680- 4 1.89094- 3 2.50000+ 1 2.70000+ 1 7.74041- 5 1.84548- 3 2.50000+ 1 2.90000+ 1 1.09222- 3 1.86678- 3 2.50000+ 1 3.00000+ 1 1.66710- 4 1.87209- 3 2.50000+ 1 4.10000+ 1 5.95416- 6 1.89525- 3 2.70000+ 1 2.70000+ 1 1.78234- 5 1.80002- 3 2.70000+ 1 2.90000+ 1 2.10644- 4 1.82132- 3 2.70000+ 1 3.00000+ 1 2.75430- 5 1.82663- 3 2.70000+ 1 4.10000+ 1 2.43049- 6 1.84979- 3 2.90000+ 1 2.90000+ 1 2.14723- 4 1.84262- 3 2.90000+ 1 3.00000+ 1 6.07259- 4 1.84793- 3 2.90000+ 1 4.10000+ 1 2.73528- 5 1.87109- 3 3.00000+ 1 3.00000+ 1 5.26137- 5 1.85324- 3 3.00000+ 1 4.10000+ 1 8.76883- 6 1.87640- 3 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.74501- 5 3.33300- 4 1.40000+ 1 2.28972- 4 3.73200- 4 1.60000+ 1 7.11846- 4 1.30815- 3 2.10000+ 1 3.36263- 4 1.55487- 3 2.20000+ 1 2.69572- 3 1.56227- 3 2.70000+ 1 1.28871- 4 1.67331- 3 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.80000+ 1 1.28336- 2 0.00000+ 0 1.30000+ 1 1.90000+ 1 5.99794- 2 3.11000- 5 1.30000+ 1 2.10000+ 1 1.02638- 2 1.59670- 4 1.30000+ 1 2.20000+ 1 9.38094- 3 1.67070- 4 1.30000+ 1 2.40000+ 1 1.12936- 2 3.22500- 4 1.30000+ 1 2.50000+ 1 1.64578- 2 3.23570- 4 1.30000+ 1 2.70000+ 1 2.06810- 3 2.78110- 4 1.30000+ 1 2.90000+ 1 1.44065- 3 2.99410- 4 1.30000+ 1 3.00000+ 1 5.59138- 3 3.04720- 4 1.30000+ 1 4.10000+ 1 1.51836- 4 3.27880- 4 1.40000+ 1 1.80000+ 1 8.25872- 2 3.01500- 5 1.40000+ 1 1.90000+ 1 1.35643- 1 7.10000- 5 1.40000+ 1 2.10000+ 1 4.56102- 2 1.99570- 4 1.40000+ 1 2.20000+ 1 6.64508- 2 2.06970- 4 1.40000+ 1 2.40000+ 1 1.10280- 1 3.62400- 4 1.40000+ 1 2.50000+ 1 1.31334- 1 3.63470- 4 1.40000+ 1 2.70000+ 1 1.20683- 2 3.18010- 4 1.40000+ 1 2.90000+ 1 9.84722- 3 3.39310- 4 1.40000+ 1 3.00000+ 1 1.44561- 2 3.44620- 4 1.40000+ 1 4.10000+ 1 8.98647- 4 3.67780- 4 1.60000+ 1 1.60000+ 1 6.92324- 4 8.87800- 4 1.60000+ 1 1.80000+ 1 1.06268- 3 9.65100- 4 1.60000+ 1 1.90000+ 1 1.61133- 2 1.00595- 3 1.60000+ 1 2.10000+ 1 9.60655- 4 1.13452- 3 1.60000+ 1 2.20000+ 1 1.05286- 3 1.14192- 3 1.60000+ 1 2.40000+ 1 7.97374- 4 1.29735- 3 1.60000+ 1 2.50000+ 1 1.22214- 3 1.29842- 3 1.60000+ 1 2.70000+ 1 1.72324- 4 1.25296- 3 1.60000+ 1 2.90000+ 1 1.09595- 4 1.27426- 3 1.60000+ 1 3.00000+ 1 1.34610- 3 1.27957- 3 1.60000+ 1 4.10000+ 1 1.28489- 5 1.30273- 3 1.80000+ 1 1.80000+ 1 1.25554- 4 1.04240- 3 1.80000+ 1 1.90000+ 1 1.90749- 2 1.08325- 3 1.80000+ 1 2.10000+ 1 4.55312- 4 1.21182- 3 1.80000+ 1 2.20000+ 1 3.52305- 3 1.21922- 3 1.80000+ 1 2.40000+ 1 9.09114- 4 1.37465- 3 1.80000+ 1 2.50000+ 1 5.29071- 3 1.37572- 3 1.80000+ 1 2.70000+ 1 1.17990- 4 1.33026- 3 1.80000+ 1 2.90000+ 1 2.42027- 5 1.35156- 3 1.80000+ 1 3.00000+ 1 1.61407- 3 1.35687- 3 1.80000+ 1 4.10000+ 1 8.31986- 6 1.38003- 3 1.90000+ 1 1.90000+ 1 2.67365- 2 1.12410- 3 1.90000+ 1 2.10000+ 1 3.69124- 2 1.25267- 3 1.90000+ 1 2.20000+ 1 4.92004- 2 1.26007- 3 1.90000+ 1 2.40000+ 1 1.61185- 2 1.41550- 3 1.90000+ 1 2.50000+ 1 1.82867- 2 1.41657- 3 1.90000+ 1 2.70000+ 1 2.51156- 3 1.37111- 3 1.90000+ 1 2.90000+ 1 2.38607- 3 1.39241- 3 1.90000+ 1 3.00000+ 1 5.44019- 3 1.39772- 3 1.90000+ 1 4.10000+ 1 1.88953- 4 1.42088- 3 2.10000+ 1 2.10000+ 1 2.42616- 4 1.38124- 3 2.10000+ 1 2.20000+ 1 4.77363- 3 1.38864- 3 2.10000+ 1 2.40000+ 1 3.76384- 4 1.54407- 3 2.10000+ 1 2.50000+ 1 4.62644- 3 1.54514- 3 2.10000+ 1 2.70000+ 1 9.90122- 5 1.49968- 3 2.10000+ 1 2.90000+ 1 3.32565- 5 1.52098- 3 2.10000+ 1 3.00000+ 1 3.09597- 3 1.52629- 3 2.10000+ 1 4.10000+ 1 6.80239- 6 1.54945- 3 2.20000+ 1 2.20000+ 1 2.29981- 3 1.39604- 3 2.20000+ 1 2.40000+ 1 3.70491- 3 1.55147- 3 2.20000+ 1 2.50000+ 1 3.20593- 3 1.55254- 3 2.20000+ 1 2.70000+ 1 1.10343- 4 1.50708- 3 2.20000+ 1 2.90000+ 1 2.78131- 4 1.52838- 3 2.20000+ 1 3.00000+ 1 4.08568- 3 1.53369- 3 2.20000+ 1 4.10000+ 1 8.31361- 6 1.55685- 3 2.40000+ 1 2.40000+ 1 2.99675- 4 1.70690- 3 2.40000+ 1 2.50000+ 1 8.66460- 3 1.70797- 3 2.40000+ 1 2.70000+ 1 7.96565- 5 1.66251- 3 2.40000+ 1 2.90000+ 1 9.63498- 5 1.68381- 3 2.40000+ 1 3.00000+ 1 1.29274- 3 1.68912- 3 2.40000+ 1 4.10000+ 1 6.06920- 6 1.71228- 3 2.50000+ 1 2.50000+ 1 3.18834- 3 1.70904- 3 2.50000+ 1 2.70000+ 1 9.79661- 5 1.66358- 3 2.50000+ 1 2.90000+ 1 5.62173- 4 1.68488- 3 2.50000+ 1 3.00000+ 1 1.49739- 3 1.69019- 3 2.50000+ 1 4.10000+ 1 6.78237- 6 1.71335- 3 2.70000+ 1 2.70000+ 1 1.72279- 5 1.61812- 3 2.70000+ 1 2.90000+ 1 1.95250- 5 1.63942- 3 2.70000+ 1 3.00000+ 1 3.19293- 4 1.64473- 3 2.70000+ 1 4.10000+ 1 2.29704- 6 1.66789- 3 2.90000+ 1 2.90000+ 1 2.85348- 6 1.66072- 3 2.90000+ 1 3.00000+ 1 3.82373- 4 1.66603- 3 2.90000+ 1 4.10000+ 1 1.42676- 6 1.68919- 3 3.00000+ 1 3.00000+ 1 1.22146- 3 1.67134- 3 3.00000+ 1 4.10000+ 1 7.24531- 5 1.69450- 3 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.27622- 3 1.05215- 3 1.90000+ 1 3.93353- 4 1.09300- 3 2.40000+ 1 6.39904- 3 1.38440- 3 2.90000+ 1 6.39924- 4 1.36131- 3 3.00000+ 1 7.74585- 5 1.36662- 3 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 1.04547- 1 2.91000- 5 1.40000+ 1 2.50000+ 1 1.49728- 2 3.01700- 5 1.40000+ 1 2.90000+ 1 6.56304- 4 6.01000- 6 1.40000+ 1 3.00000+ 1 1.89809- 3 1.13200- 5 1.40000+ 1 4.10000+ 1 1.36147- 4 3.44800- 5 1.60000+ 1 1.60000+ 1 3.68770- 5 5.54500- 4 1.60000+ 1 1.80000+ 1 2.44904- 3 6.31800- 4 1.60000+ 1 1.90000+ 1 1.67895- 3 6.72650- 4 1.60000+ 1 2.10000+ 1 5.85875- 2 8.01220- 4 1.60000+ 1 2.20000+ 1 7.14317- 3 8.08620- 4 1.60000+ 1 2.40000+ 1 1.23341- 2 9.64050- 4 1.60000+ 1 2.50000+ 1 4.01733- 3 9.65120- 4 1.60000+ 1 2.70000+ 1 2.38621- 5 9.19660- 4 1.60000+ 1 2.90000+ 1 2.45111- 4 9.40960- 4 1.60000+ 1 3.00000+ 1 1.34492- 4 9.46270- 4 1.60000+ 1 4.10000+ 1 2.16915- 6 9.69430- 4 1.80000+ 1 1.80000+ 1 1.36664- 3 7.09100- 4 1.80000+ 1 1.90000+ 1 8.86325- 3 7.49950- 4 1.80000+ 1 2.10000+ 1 5.04632- 2 8.78520- 4 1.80000+ 1 2.20000+ 1 4.20619- 3 8.85920- 4 1.80000+ 1 2.40000+ 1 7.73762- 3 1.04135- 3 1.80000+ 1 2.50000+ 1 4.03900- 3 1.04242- 3 1.80000+ 1 2.70000+ 1 2.60315- 4 9.96960- 4 1.80000+ 1 2.90000+ 1 2.79828- 4 1.01826- 3 1.80000+ 1 3.00000+ 1 8.06916- 4 1.02357- 3 1.80000+ 1 4.10000+ 1 1.95240- 5 1.04673- 3 1.90000+ 1 1.90000+ 1 3.21903- 3 7.90800- 4 1.90000+ 1 2.10000+ 1 1.07331- 1 9.19370- 4 1.90000+ 1 2.20000+ 1 4.01941- 3 9.26770- 4 1.90000+ 1 2.40000+ 1 4.65718- 3 1.08220- 3 1.90000+ 1 2.50000+ 1 2.35127- 3 1.08327- 3 1.90000+ 1 2.70000+ 1 1.99559- 4 1.03781- 3 1.90000+ 1 2.90000+ 1 7.74378- 4 1.05911- 3 1.90000+ 1 3.00000+ 1 5.63974- 4 1.06442- 3 1.90000+ 1 4.10000+ 1 1.51836- 5 1.08758- 3 2.10000+ 1 2.10000+ 1 9.05192- 2 1.04794- 3 2.10000+ 1 2.20000+ 1 1.83318- 1 1.05534- 3 2.10000+ 1 2.40000+ 1 4.81741- 2 1.21077- 3 2.10000+ 1 2.50000+ 1 6.08726- 2 1.21184- 3 2.10000+ 1 2.70000+ 1 8.47079- 3 1.16638- 3 2.10000+ 1 2.90000+ 1 6.34935- 3 1.18768- 3 2.10000+ 1 3.00000+ 1 1.25055- 2 1.19299- 3 2.10000+ 1 4.10000+ 1 6.33404- 4 1.21615- 3 2.20000+ 1 2.20000+ 1 3.00221- 3 1.06274- 3 2.20000+ 1 2.40000+ 1 4.94283- 2 1.21817- 3 2.20000+ 1 2.50000+ 1 2.80252- 3 1.21924- 3 2.20000+ 1 2.70000+ 1 5.92203- 4 1.17378- 3 2.20000+ 1 2.90000+ 1 3.55761- 4 1.19508- 3 2.20000+ 1 3.00000+ 1 3.86120- 4 1.20039- 3 2.20000+ 1 4.10000+ 1 4.12138- 5 1.22355- 3 2.40000+ 1 2.40000+ 1 2.54827- 2 1.37360- 3 2.40000+ 1 2.50000+ 1 7.82970- 2 1.37467- 3 2.40000+ 1 2.70000+ 1 1.82203- 3 1.32921- 3 2.40000+ 1 2.90000+ 1 8.01652- 4 1.35051- 3 2.40000+ 1 3.00000+ 1 5.30806- 4 1.35582- 3 2.40000+ 1 4.10000+ 1 1.36499- 4 1.37898- 3 2.50000+ 1 2.50000+ 1 1.80785- 3 1.37574- 3 2.50000+ 1 2.70000+ 1 4.86394- 4 1.33028- 3 2.50000+ 1 2.90000+ 1 2.80044- 4 1.35158- 3 2.50000+ 1 3.00000+ 1 2.80044- 4 1.35689- 3 2.50000+ 1 4.10000+ 1 3.43922- 5 1.38005- 3 2.70000+ 1 2.70000+ 1 1.54865- 5 1.28482- 3 2.70000+ 1 2.90000+ 1 2.01324- 4 1.30612- 3 2.70000+ 1 3.00000+ 1 1.23902- 4 1.31143- 3 2.90000+ 1 2.90000+ 1 1.07479- 4 1.32742- 3 2.90000+ 1 3.00000+ 1 5.22051- 4 1.33273- 3 2.90000+ 1 4.10000+ 1 1.53542- 5 1.35589- 3 3.00000+ 1 3.00000+ 1 7.21032- 4 1.33804- 3 3.00000+ 1 4.10000+ 1 6.00827- 5 1.36120- 3 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.15808- 3 1.05310- 3 2.40000+ 1 3.75518- 4 1.34450- 3 2.50000+ 1 7.25947- 3 1.34557- 3 3.00000+ 1 7.63806- 4 1.32672- 3 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 4.82057- 6 5.14600- 4 1.60000+ 1 1.80000+ 1 6.41136- 4 5.91900- 4 1.60000+ 1 1.90000+ 1 4.25418- 3 6.32750- 4 1.60000+ 1 2.10000+ 1 6.28120- 3 7.61320- 4 1.60000+ 1 2.20000+ 1 6.96528- 2 7.68720- 4 1.60000+ 1 2.40000+ 1 4.35780- 3 9.24150- 4 1.60000+ 1 2.50000+ 1 1.44934- 2 9.25220- 4 1.60000+ 1 2.70000+ 1 1.68721- 5 8.79760- 4 1.60000+ 1 2.90000+ 1 3.37434- 5 9.01060- 4 1.60000+ 1 3.00000+ 1 3.71184- 4 9.06370- 4 1.60000+ 1 4.10000+ 1 2.41034- 6 9.29530- 4 1.80000+ 1 1.80000+ 1 1.20509- 5 6.69200- 4 1.80000+ 1 1.90000+ 1 1.03809- 2 7.10050- 4 1.80000+ 1 2.10000+ 1 5.95298- 4 8.38620- 4 1.80000+ 1 2.20000+ 1 6.98628- 2 8.46020- 4 1.80000+ 1 2.40000+ 1 1.98117- 3 1.00145- 3 1.80000+ 1 2.50000+ 1 7.12912- 3 1.00252- 3 1.80000+ 1 2.70000+ 1 6.50737- 5 9.57060- 4 1.80000+ 1 2.90000+ 1 4.82025- 6 9.78360- 4 1.80000+ 1 3.00000+ 1 8.96535- 4 9.83670- 4 1.80000+ 1 4.10000+ 1 4.82025- 6 1.00683- 3 1.90000+ 1 1.90000+ 1 7.89130- 3 7.50900- 4 1.90000+ 1 2.10000+ 1 6.55596- 3 8.79470- 4 1.90000+ 1 2.20000+ 1 1.11073- 1 8.86870- 4 1.90000+ 1 2.40000+ 1 2.94048- 3 1.04230- 3 1.90000+ 1 2.50000+ 1 6.73444- 3 1.04337- 3 1.90000+ 1 2.70000+ 1 5.08577- 4 9.97910- 4 1.90000+ 1 2.90000+ 1 8.84579- 4 1.01921- 3 1.90000+ 1 3.00000+ 1 1.40521- 3 1.02452- 3 1.90000+ 1 4.10000+ 1 3.61538- 5 1.04768- 3 2.10000+ 1 2.10000+ 1 1.40752- 3 1.00804- 3 2.10000+ 1 2.20000+ 1 1.44605- 1 1.01544- 3 2.10000+ 1 2.40000+ 1 2.53785- 3 1.17087- 3 2.10000+ 1 2.50000+ 1 3.36383- 2 1.17194- 3 2.10000+ 1 2.70000+ 1 5.06121- 4 1.12648- 3 2.10000+ 1 2.90000+ 1 7.71245- 5 1.14778- 3 2.10000+ 1 3.00000+ 1 5.71202- 4 1.15309- 3 2.10000+ 1 4.10000+ 1 3.61517- 5 1.17625- 3 2.20000+ 1 2.20000+ 1 1.64660- 1 1.02284- 3 2.20000+ 1 2.40000+ 1 5.88789- 2 1.17827- 3 2.20000+ 1 2.50000+ 1 8.87783- 2 1.17934- 3 2.20000+ 1 2.70000+ 1 9.75912- 3 1.13388- 3 2.20000+ 1 2.90000+ 1 8.47187- 3 1.15518- 3 2.20000+ 1 3.00000+ 1 1.30423- 2 1.16049- 3 2.20000+ 1 4.10000+ 1 7.27875- 4 1.18365- 3 2.40000+ 1 2.40000+ 1 2.20314- 3 1.33370- 3 2.40000+ 1 2.50000+ 1 7.44439- 2 1.33477- 3 2.40000+ 1 2.70000+ 1 4.93075- 4 1.28931- 3 2.40000+ 1 2.90000+ 1 2.21280- 4 1.31061- 3 2.40000+ 1 3.00000+ 1 2.62171- 4 1.31592- 3 2.40000+ 1 4.10000+ 1 3.60779- 5 1.33908- 3 2.50000+ 1 2.50000+ 1 4.84230- 2 1.33584- 3 2.50000+ 1 2.70000+ 1 2.06494- 3 1.29038- 3 2.50000+ 1 2.90000+ 1 8.53382- 4 1.31168- 3 2.50000+ 1 3.00000+ 1 7.09152- 4 1.31699- 3 2.50000+ 1 4.10000+ 1 1.56247- 4 1.34015- 3 2.70000+ 1 2.70000+ 1 2.70997- 5 1.24492- 3 2.70000+ 1 2.90000+ 1 2.70997- 5 1.26622- 3 2.70000+ 1 3.00000+ 1 5.14878- 4 1.27153- 3 2.90000+ 1 3.00000+ 1 5.01378- 4 1.29283- 3 3.00000+ 1 3.00000+ 1 7.11022- 4 1.29814- 3 3.00000+ 1 4.10000+ 1 2.63346- 5 1.32130- 3 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.66499- 5 7.73000- 5 1.90000+ 1 1.22481- 4 1.18150- 4 2.90000+ 1 5.71069- 5 3.86460- 4 3.00000+ 1 4.01827- 5 3.91770- 4 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 2.87688- 2 6.65000- 5 1.80000+ 1 2.50000+ 1 4.15324- 2 6.75700- 5 1.80000+ 1 2.70000+ 1 3.98685- 2 2.21100- 5 1.80000+ 1 2.90000+ 1 3.18687- 2 4.34100- 5 1.80000+ 1 3.00000+ 1 6.17461- 2 4.87200- 5 1.80000+ 1 4.10000+ 1 2.87940- 3 7.18800- 5 1.90000+ 1 2.40000+ 1 1.29871- 1 1.07350- 4 1.90000+ 1 2.50000+ 1 1.57142- 1 1.08420- 4 1.90000+ 1 2.70000+ 1 4.90184- 2 6.29600- 5 1.90000+ 1 2.90000+ 1 5.00606- 2 8.42600- 5 1.90000+ 1 3.00000+ 1 6.21793- 2 8.95700- 5 1.90000+ 1 4.10000+ 1 3.59731- 3 1.12730- 4 2.10000+ 1 2.10000+ 1 4.04664- 3 7.30900- 5 2.10000+ 1 2.20000+ 1 1.72958- 2 8.04900- 5 2.10000+ 1 2.40000+ 1 4.58186- 3 2.35920- 4 2.10000+ 1 2.50000+ 1 1.07421- 2 2.36990- 4 2.10000+ 1 2.70000+ 1 1.66229- 2 1.91530- 4 2.10000+ 1 2.90000+ 1 3.44298- 3 2.12830- 4 2.10000+ 1 3.00000+ 1 9.27470- 3 2.18140- 4 2.10000+ 1 4.10000+ 1 1.02231- 3 2.41300- 4 2.20000+ 1 2.20000+ 1 9.71973- 3 8.78900- 5 2.20000+ 1 2.40000+ 1 1.22954- 2 2.43320- 4 2.20000+ 1 2.50000+ 1 1.08273- 2 2.44390- 4 2.20000+ 1 2.70000+ 1 2.39971- 2 1.98930- 4 2.20000+ 1 2.90000+ 1 9.13381- 3 2.20230- 4 2.20000+ 1 3.00000+ 1 8.83221- 3 2.25540- 4 2.20000+ 1 4.10000+ 1 1.47078- 3 2.48700- 4 2.40000+ 1 2.40000+ 1 3.42522- 3 3.98750- 4 2.40000+ 1 2.50000+ 1 8.49434- 3 3.99820- 4 2.40000+ 1 2.70000+ 1 1.15924- 2 3.54360- 4 2.40000+ 1 2.90000+ 1 1.38354- 3 3.75660- 4 2.40000+ 1 3.00000+ 1 3.51850- 3 3.80970- 4 2.40000+ 1 4.10000+ 1 6.54539- 4 4.04130- 4 2.50000+ 1 2.50000+ 1 5.79679- 3 4.00890- 4 2.50000+ 1 2.70000+ 1 1.49558- 2 3.55430- 4 2.50000+ 1 2.90000+ 1 8.97579- 4 3.76730- 4 2.50000+ 1 3.00000+ 1 4.39970- 3 3.82040- 4 2.50000+ 1 4.10000+ 1 8.43632- 4 4.05200- 4 2.70000+ 1 2.70000+ 1 2.07509- 2 3.09970- 4 2.70000+ 1 2.90000+ 1 2.51867- 2 3.31270- 4 2.70000+ 1 3.00000+ 1 4.23502- 2 3.36580- 4 2.70000+ 1 4.10000+ 1 2.75296- 3 3.59740- 4 2.90000+ 1 2.90000+ 1 4.82818- 3 3.52570- 4 2.90000+ 1 3.00000+ 1 2.01024- 2 3.57880- 4 2.90000+ 1 4.10000+ 1 3.60990- 3 3.81040- 4 3.00000+ 1 3.00000+ 1 1.60814- 2 3.63190- 4 3.00000+ 1 4.10000+ 1 6.30102- 3 3.86350- 4 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 4.07046- 4 1.69420- 4 2.70000+ 1 9.30760- 5 2.87860- 4 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 6.14138- 2 3.00500- 5 1.90000+ 1 2.50000+ 1 4.71116- 2 3.11200- 5 1.90000+ 1 2.90000+ 1 1.03945- 2 6.96000- 6 1.90000+ 1 3.00000+ 1 1.02365- 2 1.22700- 5 1.90000+ 1 4.10000+ 1 1.12289- 3 3.54300- 5 2.10000+ 1 2.10000+ 1 1.92509- 2 0.00000+ 0 2.10000+ 1 2.20000+ 1 2.63949- 1 3.19000- 6 2.10000+ 1 2.40000+ 1 9.88073- 2 1.58620- 4 2.10000+ 1 2.50000+ 1 2.05268- 1 1.59690- 4 2.10000+ 1 2.70000+ 1 2.64321- 2 1.14230- 4 2.10000+ 1 2.90000+ 1 1.85698- 2 1.35530- 4 2.10000+ 1 3.00000+ 1 3.20455- 2 1.40840- 4 2.10000+ 1 4.10000+ 1 1.96418- 3 1.64000- 4 2.20000+ 1 2.20000+ 1 1.62821- 2 1.05900- 5 2.20000+ 1 2.40000+ 1 3.22350- 2 1.66020- 4 2.20000+ 1 2.50000+ 1 8.48248- 3 1.67090- 4 2.20000+ 1 2.70000+ 1 5.52517- 3 1.21630- 4 2.20000+ 1 2.90000+ 1 2.29055- 2 1.42930- 4 2.20000+ 1 3.00000+ 1 4.78813- 3 1.48240- 4 2.20000+ 1 4.10000+ 1 3.61182- 4 1.71400- 4 2.40000+ 1 2.40000+ 1 1.97196- 3 3.21450- 4 2.40000+ 1 2.50000+ 1 1.42458- 2 3.22520- 4 2.40000+ 1 2.70000+ 1 2.97855- 3 2.77060- 4 2.40000+ 1 2.90000+ 1 1.12286- 2 2.98360- 4 2.40000+ 1 3.00000+ 1 3.45046- 3 3.03670- 4 2.40000+ 1 4.10000+ 1 2.17443- 4 3.26830- 4 2.50000+ 1 2.50000+ 1 6.73424- 4 3.23590- 4 2.50000+ 1 2.70000+ 1 1.92670- 3 2.78130- 4 2.50000+ 1 2.90000+ 1 2.22368- 2 2.99430- 4 2.50000+ 1 3.00000+ 1 1.58602- 3 3.04740- 4 2.50000+ 1 4.10000+ 1 1.19870- 4 3.27900- 4 2.70000+ 1 2.70000+ 1 3.36810- 4 2.32670- 4 2.70000+ 1 2.90000+ 1 5.26828- 3 2.53970- 4 2.70000+ 1 3.00000+ 1 8.51175- 4 2.59280- 4 2.70000+ 1 4.10000+ 1 4.37938- 5 2.82440- 4 2.90000+ 1 2.90000+ 1 1.10667- 2 2.75270- 4 2.90000+ 1 3.00000+ 1 3.06626- 2 2.80580- 4 2.90000+ 1 4.10000+ 1 1.49944- 3 3.03740- 4 3.00000+ 1 3.00000+ 1 1.70358- 3 2.85890- 4 3.00000+ 1 4.10000+ 1 2.86809- 4 3.09050- 4 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.04984- 5 1.28570- 4 2.20000+ 1 1.15233- 4 1.35970- 4 2.70000+ 1 5.13651- 5 2.47010- 4 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.91978- 2 1.17770- 4 2.10000+ 1 2.50000+ 1 5.56769- 2 1.18840- 4 2.10000+ 1 2.70000+ 1 1.31807- 2 7.33800- 5 2.10000+ 1 2.90000+ 1 9.77788- 3 9.46800- 5 2.10000+ 1 3.00000+ 1 3.66050- 2 9.99900- 5 2.10000+ 1 4.10000+ 1 9.50904- 4 1.23150- 4 2.20000+ 1 2.40000+ 1 2.52709- 1 1.25170- 4 2.20000+ 1 2.50000+ 1 2.61618- 1 1.26240- 4 2.20000+ 1 2.70000+ 1 6.80798- 2 8.07800- 5 2.20000+ 1 2.90000+ 1 6.57767- 2 1.02080- 4 2.20000+ 1 3.00000+ 1 9.48764- 2 1.07390- 4 2.20000+ 1 4.10000+ 1 5.08532- 3 1.30550- 4 2.40000+ 1 2.40000+ 1 5.68273- 4 2.80600- 4 2.40000+ 1 2.50000+ 1 1.66846- 2 2.81670- 4 2.40000+ 1 2.70000+ 1 3.86247- 3 2.36210- 4 2.40000+ 1 2.90000+ 1 1.65986- 3 2.57510- 4 2.40000+ 1 3.00000+ 1 2.39878- 2 2.62820- 4 2.40000+ 1 4.10000+ 1 2.21763- 4 2.85980- 4 2.50000+ 1 2.50000+ 1 6.56733- 3 2.82740- 4 2.50000+ 1 2.70000+ 1 8.15491- 3 2.37280- 4 2.50000+ 1 2.90000+ 1 6.60340- 3 2.58580- 4 2.50000+ 1 3.00000+ 1 2.89730- 2 2.63890- 4 2.50000+ 1 4.10000+ 1 5.17030- 4 2.87050- 4 2.70000+ 1 2.70000+ 1 1.86225- 5 1.91820- 4 2.70000+ 1 2.90000+ 1 2.76449- 4 2.13120- 4 2.70000+ 1 3.00000+ 1 5.27941- 3 2.18430- 4 2.70000+ 1 4.10000+ 1 3.58106- 6 2.41590- 4 2.90000+ 1 2.90000+ 1 2.43179- 5 2.34420- 4 2.90000+ 1 3.00000+ 1 3.10890- 3 2.39730- 4 2.90000+ 1 4.10000+ 1 1.12578- 5 2.62890- 4 3.00000+ 1 3.00000+ 1 9.19917- 3 2.45040- 4 3.00000+ 1 4.10000+ 1 5.66364- 4 2.68200- 4 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.57228- 5 1.62830- 4 2.90000+ 1 1.26004- 5 1.39740- 4 3.00000+ 1 1.95459- 6 1.45050- 4 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 2.40000+ 1 4.13278- 2 0.00000+ 0 2.20000+ 1 2.50000+ 1 4.65377- 3 0.00000+ 0 2.20000+ 1 4.10000+ 1 1.58425- 4 1.98000- 6 2.40000+ 1 2.40000+ 1 1.54437- 1 1.52030- 4 2.40000+ 1 2.50000+ 1 5.02171- 1 1.53100- 4 2.40000+ 1 2.70000+ 1 6.50682- 2 1.07640- 4 2.40000+ 1 2.90000+ 1 5.31102- 2 1.28940- 4 2.40000+ 1 3.00000+ 1 8.18466- 2 1.34250- 4 2.40000+ 1 4.10000+ 1 4.90530- 3 1.57410- 4 2.50000+ 1 2.50000+ 1 4.19499- 3 1.54170- 4 2.50000+ 1 2.70000+ 1 5.21909- 3 1.08710- 4 2.50000+ 1 2.90000+ 1 1.35837- 2 1.30010- 4 2.50000+ 1 3.00000+ 1 4.49450- 3 1.35320- 4 2.50000+ 1 4.10000+ 1 3.34699- 4 1.58480- 4 2.70000+ 1 2.70000+ 1 4.36706- 3 6.32500- 5 2.70000+ 1 2.90000+ 1 4.12257- 3 8.45500- 5 2.70000+ 1 3.00000+ 1 4.80422- 3 8.98600- 5 2.70000+ 1 4.10000+ 1 3.69136- 4 1.13020- 4 2.90000+ 1 2.90000+ 1 8.52394- 3 1.05850- 4 2.90000+ 1 3.00000+ 1 2.62176- 2 1.11160- 4 2.90000+ 1 4.10000+ 1 1.03638- 3 1.34320- 4 3.00000+ 1 3.00000+ 1 1.38640- 2 1.16470- 4 3.00000+ 1 4.10000+ 1 1.14895- 3 1.39630- 4 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.30481- 6 1.55430- 4 2.50000+ 1 2.66232- 5 1.56500- 4 3.00000+ 1 1.31741- 5 1.37650- 4 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 1.05668- 2 1.44630- 4 2.40000+ 1 2.50000+ 1 4.16444- 1 1.45700- 4 2.40000+ 1 2.70000+ 1 9.74478- 3 1.00240- 4 2.40000+ 1 2.90000+ 1 5.37603- 3 1.21540- 4 2.40000+ 1 3.00000+ 1 1.81745- 2 1.26850- 4 2.40000+ 1 4.10000+ 1 6.67542- 4 1.50010- 4 2.50000+ 1 2.50000+ 1 2.86713- 1 1.46770- 4 2.50000+ 1 2.70000+ 1 7.22509- 2 1.01310- 4 2.50000+ 1 2.90000+ 1 7.00997- 2 1.22610- 4 2.50000+ 1 3.00000+ 1 8.83082- 2 1.27920- 4 2.50000+ 1 4.10000+ 1 5.45204- 3 1.51080- 4 2.70000+ 1 2.70000+ 1 3.59643- 3 5.58500- 5 2.70000+ 1 2.90000+ 1 1.87032- 3 7.71500- 5 2.70000+ 1 3.00000+ 1 4.78477- 3 8.24600- 5 2.70000+ 1 4.10000+ 1 2.96545- 4 1.05620- 4 2.90000+ 1 2.90000+ 1 3.48959- 4 9.84500- 5 2.90000+ 1 3.00000+ 1 3.22597- 3 1.03760- 4 2.90000+ 1 4.10000+ 1 7.30981- 5 1.26920- 4 3.00000+ 1 3.00000+ 1 1.78740- 3 1.09070- 4 3.00000+ 1 4.10000+ 1 1.78610- 4 1.32230- 4 1 67000 0 7 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.04240- 7 2.13000- 5 3.00000+ 1 4.12580- 7 2.66100- 5 1 67000 0 9 1.64930+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 4.13950- 1 1.58800- 5 3.00000+ 1 4.10000+ 1 5.78370- 1 2.11900- 5 4.10000+ 1 4.10000+ 1 7.68000- 3 4.43500- 5 1 68000 0 0 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 5.14000+ 0 2.50000+ 1 6.86000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 1 68000 0 0 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.75740- 2 3.00000+ 0 9.71620- 3 5.00000+ 0 9.27480- 3 6.00000+ 0 8.34740- 3 8.00000+ 0 2.18890- 3 1.00000+ 1 1.99180- 3 1.10000+ 1 1.79620- 3 1.30000+ 1 1.45500- 3 1.40000+ 1 1.41200- 3 1.60000+ 1 4.36850- 4 1.80000+ 1 3.57040- 4 1.90000+ 1 3.12970- 4 2.10000+ 1 1.80250- 4 2.20000+ 1 1.72260- 4 2.40000+ 1 1.09400- 5 2.50000+ 1 9.76000- 6 2.70000+ 1 5.67300- 5 2.90000+ 1 3.47300- 5 3.00000+ 1 2.90600- 5 4.10000+ 1 5.48000- 6 1 68000 0 0 1.67260+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.63160- 2 3.00000+ 0 1.75780- 2 5.00000+ 0 1.75790- 2 6.00000+ 0 1.41210- 2 8.00000+ 0 5.48690- 3 1.00000+ 1 5.39600- 3 1.10000+ 1 4.56870- 3 1.30000+ 1 4.43290- 3 1.40000+ 1 4.24280- 3 1.60000+ 1 1.72060- 3 1.80000+ 1 1.61950- 3 1.90000+ 1 1.37880- 3 2.10000+ 1 1.18540- 3 2.20000+ 1 1.13290- 3 2.40000+ 1 7.05070- 4 2.50000+ 1 6.85920- 4 2.70000+ 1 3.47200- 4 2.90000+ 1 2.72200- 4 3.00000+ 1 2.23500- 4 4.10000+ 1 3.19100- 5 1 68000 0 0 1.67260+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.07660-10 3.00000+ 0 4.52960-10 5.00000+ 0 3.76580-10 6.00000+ 0 4.15120-10 8.00000+ 0 1.18430- 9 1.00000+ 1 1.12840- 9 1.10000+ 1 1.20060- 9 1.30000+ 1 1.05610- 9 1.40000+ 1 1.07850- 9 1.60000+ 1 2.67260- 9 1.80000+ 1 2.71550- 9 1.90000+ 1 2.88040- 9 2.10000+ 1 3.01980- 9 2.20000+ 1 3.07730- 9 2.40000+ 1 4.03150- 9 2.50000+ 1 4.10870- 9 2.70000+ 1 6.53770- 9 2.90000+ 1 7.33700- 9 3.00000+ 1 7.90080- 9 4.10000+ 1 2.12000- 8 1 68000 0 0 1.67260+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.62680- 5 3.00000+ 0 5.27910- 7 5.00000+ 0 9.09010- 7 6.00000+ 0 8.23780- 7 8.00000+ 0 1.68700- 8 1.00000+ 1 1.74950- 8 1.10000+ 1 1.81090- 8 1.30000+ 1 1.58590- 8 1.40000+ 1 1.48850- 8 1.60000+ 1 4.35610-10 1.80000+ 1 8.50680-10 1.90000+ 1 5.49620-10 2.10000+ 1 6.17530-10 2.20000+ 1 5.57400-10 2.70000+ 1 2.05890-11 1 68000 0 0 1.67260+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.56290- 6 3.00000+ 0 4.58760- 6 5.00000+ 0 3.12110- 6 6.00000+ 0 3.10110- 6 8.00000+ 0 1.78560- 5 1.00000+ 1 9.56610- 6 1.10000+ 1 9.63330- 6 1.30000+ 1 1.99100- 6 1.40000+ 1 1.18130- 6 1.60000+ 1 1.27750- 5 1.80000+ 1 1.66760- 5 1.90000+ 1 8.85120- 6 2.10000+ 1 5.61740- 6 2.20000+ 1 4.54760- 6 2.70000+ 1 4.27520- 6 1 68000 0 0 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.06199- 4 3.00000+ 0 1.33446- 4 5.00000+ 0 1.10901- 4 6.00000+ 0 1.04551- 4 8.00000+ 0 1.00060- 4 1.00000+ 1 8.41460- 5 1.10000+ 1 7.70120- 5 1.30000+ 1 5.51566- 5 1.40000+ 1 5.24536- 5 1.60000+ 1 6.16386- 5 1.80000+ 1 4.93046- 5 1.90000+ 1 4.35272- 5 2.10000+ 1 2.84817- 5 2.20000+ 1 2.65012- 5 2.40000+ 1 1.09400- 5 2.50000+ 1 9.76000- 6 2.70000+ 1 3.67153- 5 2.90000+ 1 3.47300- 5 3.00000+ 1 2.90600- 5 4.10000+ 1 5.48000- 6 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.14787+ 0 3.00000+ 0 2.34828- 1 5.00000+ 0 2.69904- 1 6.00000+ 0 2.21531- 1 8.00000+ 0 1.45259- 2 1.00000+ 1 1.47788- 2 1.10000+ 1 1.40763- 2 1.30000+ 1 1.36496- 2 1.40000+ 1 1.29284- 2 1.60000+ 1 4.98376- 4 1.80000+ 1 6.24005- 4 1.90000+ 1 2.37435- 4 2.10000+ 1 5.09594- 5 2.20000+ 1 4.94449- 5 2.70000+ 1 6.95151- 7 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.89006- 2 3.00000+ 0 1.67707- 3 5.00000+ 0 1.99248- 3 6.00000+ 0 1.44727- 3 8.00000+ 0 2.02197- 5 1.00000+ 1 2.02611- 5 1.10000+ 1 1.91758- 5 1.30000+ 1 1.81310- 5 1.40000+ 1 1.70272- 5 1.60000+ 1 1.05192- 7 1.80000+ 1 1.21710- 7 1.90000+ 1 4.07918- 8 2.10000+ 1 8.24392- 9 2.20000+ 1 7.76240- 9 2.70000+ 1 1.84524-11 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.85379+ 0 3.00000+ 0 8.77345+ 0 5.00000+ 0 7.18895+ 0 6.00000+ 0 6.78765+ 0 8.00000+ 0 6.30137+ 0 1.00000+ 1 5.14559+ 0 1.10000+ 1 4.68849+ 0 1.30000+ 1 3.13071+ 0 1.40000+ 1 2.97797+ 0 1.60000+ 1 2.88553+ 0 1.80000+ 1 2.45472+ 0 1.90000+ 1 2.05599+ 0 2.10000+ 1 1.12982+ 0 2.20000+ 1 1.09001+ 0 2.70000+ 1 9.99999- 1 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.56717- 3 3.00000+ 0 7.90568- 3 5.00000+ 0 7.17142- 3 6.00000+ 0 6.79558- 3 8.00000+ 0 2.06862- 3 1.00000+ 1 1.88739- 3 1.10000+ 1 1.70001- 3 1.30000+ 1 1.38171- 3 1.40000+ 1 1.34252- 3 1.60000+ 1 3.75106- 4 1.80000+ 1 3.07614- 4 1.90000+ 1 2.69402- 4 2.10000+ 1 1.51760- 4 2.20000+ 1 1.45751- 4 2.70000+ 1 2.00147- 5 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.71691- 1 4.82992- 2 6.00000+ 0 4.82122- 1 4.92266- 2 1.00000+ 1 5.02172- 2 5.55822- 2 1.10000+ 1 9.70585- 2 5.57778- 2 1.30000+ 1 8.89314- 4 5.61190- 2 1.40000+ 1 1.15261- 3 5.61620- 2 1.80000+ 1 1.11171- 2 5.72170- 2 1.90000+ 1 2.15141- 2 5.72610- 2 2.10000+ 1 2.02941- 4 5.73937- 2 2.20000+ 1 2.61801- 4 5.74017- 2 2.90000+ 1 2.47651- 3 5.75393- 2 3.00000+ 1 5.13622- 3 5.75449- 2 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 5.24722- 3 3.81416- 2 3.00000+ 0 5.00000+ 0 7.07966- 3 3.85830- 2 3.00000+ 0 6.00000+ 0 5.93173- 3 3.95104- 2 3.00000+ 0 8.00000+ 0 2.02555- 3 4.56689- 2 3.00000+ 0 1.00000+ 1 1.47513- 3 4.58660- 2 3.00000+ 0 1.10000+ 1 1.28853- 3 4.60616- 2 3.00000+ 0 1.30000+ 1 9.86644- 5 4.64028- 2 3.00000+ 0 1.40000+ 1 8.98643- 5 4.64458- 2 3.00000+ 0 1.60000+ 1 4.78662- 4 4.74209- 2 3.00000+ 0 1.80000+ 1 3.36077- 4 4.75008- 2 3.00000+ 0 1.90000+ 1 2.90807- 4 4.75448- 2 3.00000+ 0 2.10000+ 1 2.22945- 5 4.76775- 2 3.00000+ 0 2.20000+ 1 2.00455- 5 4.76855- 2 3.00000+ 0 2.70000+ 1 7.63679- 5 4.78011- 2 3.00000+ 0 2.90000+ 1 4.28280- 5 4.78231- 2 3.00000+ 0 3.00000+ 1 3.50057- 5 4.78287- 2 3.00000+ 0 4.10000+ 1 5.67113- 6 4.78523- 2 5.00000+ 0 5.00000+ 0 5.95178- 4 3.90244- 2 5.00000+ 0 6.00000+ 0 1.15949- 2 3.99518- 2 5.00000+ 0 8.00000+ 0 1.15549- 3 4.61103- 2 5.00000+ 0 1.00000+ 1 2.18640- 4 4.63074- 2 5.00000+ 0 1.10000+ 1 2.09130- 3 4.65030- 2 5.00000+ 0 1.30000+ 1 1.07949- 4 4.68442- 2 5.00000+ 0 1.40000+ 1 3.25999- 4 4.68872- 2 5.00000+ 0 1.60000+ 1 2.63029- 4 4.78623- 2 5.00000+ 0 1.80000+ 1 4.84999- 5 4.79422- 2 5.00000+ 0 1.90000+ 1 4.53889- 4 4.79862- 2 5.00000+ 0 2.10000+ 1 2.37600- 5 4.81189- 2 5.00000+ 0 2.20000+ 1 7.14748- 5 4.81269- 2 5.00000+ 0 2.40000+ 1 3.91109- 7 4.82883- 2 5.00000+ 0 2.50000+ 1 4.88879- 7 4.82894- 2 5.00000+ 0 2.70000+ 1 4.16549- 5 4.82425- 2 5.00000+ 0 2.90000+ 1 6.16019- 6 4.82645- 2 5.00000+ 0 3.00000+ 1 5.41708- 5 4.82701- 2 5.00000+ 0 4.10000+ 1 3.12899- 6 4.82937- 2 6.00000+ 0 6.00000+ 0 5.38138- 3 4.08792- 2 6.00000+ 0 8.00000+ 0 9.12191- 4 4.70377- 2 6.00000+ 0 1.00000+ 1 1.98206- 3 4.72348- 2 6.00000+ 0 1.10000+ 1 2.00166- 3 4.74304- 2 6.00000+ 0 1.30000+ 1 3.75642- 4 4.77716- 2 6.00000+ 0 1.40000+ 1 3.29702- 4 4.78146- 2 6.00000+ 0 1.60000+ 1 2.04846- 4 4.87897- 2 6.00000+ 0 1.80000+ 1 4.33830- 4 4.88696- 2 6.00000+ 0 1.90000+ 1 4.37850- 4 4.89136- 2 6.00000+ 0 2.10000+ 1 8.31093- 5 4.90463- 2 6.00000+ 0 2.20000+ 1 7.25513- 5 4.90543- 2 6.00000+ 0 2.40000+ 1 7.82233- 7 4.92157- 2 6.00000+ 0 2.50000+ 1 5.86636- 7 4.92168- 2 6.00000+ 0 2.70000+ 1 3.23642- 5 4.91699- 2 6.00000+ 0 2.90000+ 1 5.48527- 5 4.91919- 2 6.00000+ 0 3.00000+ 1 5.23118- 5 4.91975- 2 6.00000+ 0 4.10000+ 1 2.34665- 6 4.92211- 2 8.00000+ 0 8.00000+ 0 1.92434- 4 5.31962- 2 8.00000+ 0 1.00000+ 1 2.42304- 4 5.33933- 2 8.00000+ 0 1.10000+ 1 2.00064- 4 5.35889- 2 8.00000+ 0 1.30000+ 1 1.47642- 5 5.39301- 2 8.00000+ 0 1.40000+ 1 1.27112- 5 5.39731- 2 8.00000+ 0 1.60000+ 1 9.06438- 5 5.49482- 2 8.00000+ 0 1.80000+ 1 5.52459- 5 5.50281- 2 8.00000+ 0 1.90000+ 1 4.52738- 5 5.50721- 2 8.00000+ 0 2.10000+ 1 3.32455- 6 5.52048- 2 8.00000+ 0 2.20000+ 1 2.83565- 6 5.52128- 2 8.00000+ 0 2.70000+ 1 1.44712- 5 5.53284- 2 8.00000+ 0 2.90000+ 1 7.04032- 6 5.53504- 2 8.00000+ 0 3.00000+ 1 5.47579- 6 5.53560- 2 8.00000+ 0 4.10000+ 1 1.07561- 6 5.53796- 2 1.00000+ 1 1.00000+ 1 1.94583- 5 5.35904- 2 1.00000+ 1 1.10000+ 1 3.65605- 4 5.37860- 2 1.00000+ 1 1.30000+ 1 1.51563- 5 5.41272- 2 1.00000+ 1 1.40000+ 1 4.28275- 5 5.41702- 2 1.00000+ 1 1.60000+ 1 5.52457- 5 5.51453- 2 1.00000+ 1 1.80000+ 1 8.60443- 6 5.52252- 2 1.00000+ 1 1.90000+ 1 7.96922- 5 5.52692- 2 1.00000+ 1 2.10000+ 1 3.32454- 6 5.54019- 2 1.00000+ 1 2.20000+ 1 9.48443- 6 5.54099- 2 1.00000+ 1 2.50000+ 1 9.77814- 8 5.55724- 2 1.00000+ 1 2.70000+ 1 8.70273- 6 5.55255- 2 1.00000+ 1 2.90000+ 1 1.07561- 6 5.55475- 2 1.00000+ 1 3.00000+ 1 9.48443- 6 5.55531- 2 1.00000+ 1 4.10000+ 1 6.84428- 7 5.55767- 2 1.10000+ 1 1.10000+ 1 1.87453- 4 5.39816- 2 1.10000+ 1 1.30000+ 1 5.55407- 5 5.43228- 2 1.10000+ 1 1.40000+ 1 4.73267- 5 5.43658- 2 1.10000+ 1 1.60000+ 1 4.49797- 5 5.53409- 2 1.10000+ 1 1.80000+ 1 8.03773- 5 5.54208- 2 1.10000+ 1 1.90000+ 1 8.21353- 5 5.54648- 2 1.10000+ 1 2.10000+ 1 1.24182- 5 5.55975- 2 1.10000+ 1 2.20000+ 1 1.04621- 5 5.56055- 2 1.10000+ 1 2.40000+ 1 9.77815- 8 5.57669- 2 1.10000+ 1 2.50000+ 1 9.77815- 8 5.57680- 2 1.10000+ 1 2.70000+ 1 7.13799- 6 5.57211- 2 1.10000+ 1 2.90000+ 1 1.01691- 5 5.57431- 2 1.10000+ 1 3.00000+ 1 9.77815- 6 5.57487- 2 1.10000+ 1 4.10000+ 1 4.88887- 7 5.57723- 2 1.30000+ 1 1.30000+ 1 9.82756- 8 5.46640- 2 1.30000+ 1 1.40000+ 1 6.78068- 6 5.47070- 2 1.30000+ 1 1.60000+ 1 3.34134- 6 5.56821- 2 1.30000+ 1 1.80000+ 1 3.24305- 6 5.57620- 2 1.30000+ 1 1.90000+ 1 1.15964- 5 5.58060- 2 1.30000+ 1 2.20000+ 1 1.47413- 6 5.59467- 2 1.30000+ 1 2.70000+ 1 4.91358- 7 5.60623- 2 1.30000+ 1 2.90000+ 1 3.93092- 7 5.60843- 2 1.30000+ 1 3.00000+ 1 1.37584- 6 5.60899- 2 1.40000+ 1 1.40000+ 1 1.56451- 6 5.47500- 2 1.40000+ 1 1.60000+ 1 2.83560- 6 5.57251- 2 1.40000+ 1 1.80000+ 1 8.89803- 6 5.58050- 2 1.40000+ 1 1.90000+ 1 9.77802- 6 5.58490- 2 1.40000+ 1 2.10000+ 1 1.46670- 6 5.59817- 2 1.40000+ 1 2.20000+ 1 6.84420- 7 5.59897- 2 1.40000+ 1 2.70000+ 1 4.88880- 7 5.61053- 2 1.40000+ 1 2.90000+ 1 1.07559- 6 5.61273- 2 1.40000+ 1 3.00000+ 1 1.17339- 6 5.61329- 2 1.60000+ 1 1.60000+ 1 1.07574- 5 5.67003- 2 1.60000+ 1 1.80000+ 1 1.27318- 5 5.67801- 2 1.60000+ 1 1.90000+ 1 1.02639- 5 5.68242- 2 1.60000+ 1 2.10000+ 1 7.89555- 7 5.69569- 2 1.60000+ 1 2.20000+ 1 5.92127- 7 5.69649- 2 1.60000+ 1 2.70000+ 1 3.45425- 6 5.70804- 2 1.60000+ 1 2.90000+ 1 1.57912- 6 5.71024- 2 1.60000+ 1 3.00000+ 1 1.28297- 6 5.71081- 2 1.60000+ 1 4.10000+ 1 2.96079- 7 5.71317- 2 1.80000+ 1 1.80000+ 1 9.77805- 7 5.68599- 2 1.80000+ 1 1.90000+ 1 1.75021- 5 5.69040- 2 1.80000+ 1 2.10000+ 1 6.84422- 7 5.70367- 2 1.80000+ 1 2.20000+ 1 1.95561- 6 5.70447- 2 1.80000+ 1 2.70000+ 1 1.95561- 6 5.71602- 2 1.80000+ 1 2.90000+ 1 1.95561- 7 5.71822- 2 1.80000+ 1 3.00000+ 1 2.05341- 6 5.71879- 2 1.80000+ 1 4.10000+ 1 1.95561- 7 5.72115- 2 1.90000+ 1 1.90000+ 1 8.77004- 6 5.69481- 2 1.90000+ 1 2.10000+ 1 2.47852- 6 5.70808- 2 1.90000+ 1 2.20000+ 1 2.09723- 6 5.70888- 2 1.90000+ 1 2.70000+ 1 1.52526- 6 5.72043- 2 1.90000+ 1 2.90000+ 1 2.19248- 6 5.72263- 2 1.90000+ 1 3.00000+ 1 2.09723- 6 5.72320- 2 1.90000+ 1 4.10000+ 1 9.53271- 8 5.72555- 2 2.10000+ 1 2.20000+ 1 2.98951- 7 5.72215- 2 2.10000+ 1 2.70000+ 1 9.96507- 8 5.73370- 2 2.10000+ 1 2.90000+ 1 9.96507- 8 5.73590- 2 2.10000+ 1 3.00000+ 1 2.98951- 7 5.73647- 2 2.20000+ 1 2.20000+ 1 9.77819- 8 5.72295- 2 2.20000+ 1 2.70000+ 1 9.77819- 8 5.73450- 2 2.20000+ 1 2.90000+ 1 2.93345- 7 5.73670- 2 2.20000+ 1 3.00000+ 1 2.93345- 7 5.73727- 2 2.70000+ 1 2.70000+ 1 3.73393- 7 5.74605- 2 2.70000+ 1 2.90000+ 1 3.73393- 7 5.74825- 2 2.70000+ 1 3.00000+ 1 2.48929- 7 5.74882- 2 2.90000+ 1 3.00000+ 1 2.99401- 7 5.75102- 2 3.00000+ 1 3.00000+ 1 9.77815- 8 5.75159- 2 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.89200- 5 4.41400- 4 6.00000+ 0 1.29540- 3 1.36880- 3 1.00000+ 1 2.88470- 2 7.72440- 3 1.10000+ 1 3.92470- 2 7.92000- 3 1.30000+ 1 6.99840- 4 8.26120- 3 1.40000+ 1 1.04760- 3 8.30420- 3 1.80000+ 1 6.89370- 3 9.35916- 3 1.90000+ 1 9.80791- 3 9.40323- 3 2.10000+ 1 9.52451- 5 9.53595- 3 2.20000+ 1 1.47450- 4 9.54394- 3 2.90000+ 1 9.16851- 4 9.68147- 3 3.00000+ 1 1.25270- 3 9.68714- 3 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 4.70872- 2 4.55000- 6 5.00000+ 0 1.80000+ 1 3.70382- 2 8.43600- 5 5.00000+ 0 1.90000+ 1 4.07263- 2 1.28430- 4 5.00000+ 0 2.10000+ 1 1.09344- 2 2.61150- 4 5.00000+ 0 2.20000+ 1 1.61857- 2 2.69140- 4 5.00000+ 0 2.40000+ 1 2.71078- 2 4.30460- 4 5.00000+ 0 2.50000+ 1 2.64486- 2 4.31640- 4 5.00000+ 0 2.70000+ 1 7.37883- 3 3.84670- 4 5.00000+ 0 2.90000+ 1 4.43941- 3 4.06670- 4 5.00000+ 0 3.00000+ 1 4.68873- 3 4.12340- 4 5.00000+ 0 4.10000+ 1 5.44949- 4 4.35920- 4 6.00000+ 0 1.60000+ 1 5.10374- 2 9.31950- 4 6.00000+ 0 1.80000+ 1 2.12807- 2 1.01176- 3 6.00000+ 0 1.90000+ 1 3.58619- 2 1.05583- 3 6.00000+ 0 2.10000+ 1 6.23583- 2 1.18855- 3 6.00000+ 0 2.20000+ 1 7.69415- 2 1.19654- 3 6.00000+ 0 2.40000+ 1 3.88370- 2 1.35786- 3 6.00000+ 0 2.50000+ 1 3.64594- 2 1.35904- 3 6.00000+ 0 2.70000+ 1 7.80837- 3 1.31207- 3 6.00000+ 0 2.90000+ 1 2.63311- 3 1.33407- 3 6.00000+ 0 3.00000+ 1 4.24521- 3 1.33974- 3 6.00000+ 0 4.10000+ 1 5.77311- 4 1.36332- 3 8.00000+ 0 8.00000+ 0 1.12820- 2 5.33840- 3 8.00000+ 0 1.00000+ 1 2.27808- 2 5.53550- 3 8.00000+ 0 1.10000+ 1 3.95902- 2 5.73110- 3 8.00000+ 0 1.30000+ 1 3.07336- 2 6.07230- 3 8.00000+ 0 1.40000+ 1 4.17234- 2 6.11530- 3 8.00000+ 0 1.60000+ 1 4.52371- 3 7.09045- 3 8.00000+ 0 1.80000+ 1 5.09085- 3 7.17026- 3 8.00000+ 0 1.90000+ 1 8.70437- 3 7.21433- 3 8.00000+ 0 2.10000+ 1 5.80914- 3 7.34705- 3 8.00000+ 0 2.20000+ 1 7.80929- 3 7.35504- 3 8.00000+ 0 2.40000+ 1 2.89747- 4 7.51636- 3 8.00000+ 0 2.50000+ 1 2.50368- 4 7.51754- 3 8.00000+ 0 2.70000+ 1 7.03613- 4 7.47057- 3 8.00000+ 0 2.90000+ 1 6.45874- 4 7.49257- 3 8.00000+ 0 3.00000+ 1 1.04086- 3 7.49824- 3 8.00000+ 0 4.10000+ 1 5.23379- 5 7.52182- 3 1.00000+ 1 1.00000+ 1 7.76932- 5 5.73260- 3 1.00000+ 1 1.10000+ 1 6.15078- 4 5.92820- 3 1.00000+ 1 1.30000+ 1 1.21403- 3 6.26940- 3 1.00000+ 1 1.40000+ 1 1.23056- 2 6.31240- 3 1.00000+ 1 1.60000+ 1 3.61114- 3 7.28755- 3 1.00000+ 1 1.80000+ 1 1.40279- 5 7.36736- 3 1.00000+ 1 1.90000+ 1 1.24091- 4 7.41143- 3 1.00000+ 1 2.10000+ 1 2.19070- 4 7.54415- 3 1.00000+ 1 2.20000+ 1 1.48374- 3 7.55214- 3 1.00000+ 1 2.40000+ 1 1.01431- 4 7.71346- 3 1.00000+ 1 2.50000+ 1 2.65455- 4 7.71464- 3 1.00000+ 1 2.70000+ 1 5.33061- 4 7.66767- 3 1.00000+ 1 2.90000+ 1 1.61864- 6 7.68967- 3 1.00000+ 1 3.00000+ 1 1.45676- 5 7.69534- 3 1.00000+ 1 4.10000+ 1 3.93867- 5 7.71892- 3 1.10000+ 1 1.10000+ 1 9.96486- 4 6.12380- 3 1.10000+ 1 1.30000+ 1 6.03254- 3 6.46500- 3 1.10000+ 1 1.40000+ 1 3.88131- 3 6.50800- 3 1.10000+ 1 1.60000+ 1 6.24563- 3 7.48315- 3 1.10000+ 1 1.80000+ 1 1.30571- 4 7.56296- 3 1.10000+ 1 1.90000+ 1 3.24271- 4 7.60703- 3 1.10000+ 1 2.10000+ 1 5.44931- 4 7.73975- 3 1.10000+ 1 2.20000+ 1 3.49080- 4 7.74774- 3 1.10000+ 1 2.40000+ 1 2.53046- 4 7.90906- 3 1.10000+ 1 2.50000+ 1 1.54306- 4 7.91024- 3 1.10000+ 1 2.70000+ 1 9.20992- 4 7.86327- 3 1.10000+ 1 2.90000+ 1 1.61862- 5 7.88527- 3 1.10000+ 1 3.00000+ 1 3.66881- 5 7.89094- 3 1.10000+ 1 4.10000+ 1 6.79801- 5 7.91452- 3 1.30000+ 1 1.30000+ 1 1.80968- 3 6.80620- 3 1.30000+ 1 1.40000+ 1 5.89309- 2 6.84920- 3 1.30000+ 1 1.60000+ 1 4.52353- 3 7.82435- 3 1.30000+ 1 1.80000+ 1 3.39924- 4 7.90416- 3 1.30000+ 1 1.90000+ 1 1.41906- 3 7.94823- 3 1.30000+ 1 2.10000+ 1 6.70669- 4 8.08095- 3 1.30000+ 1 2.20000+ 1 7.81495- 3 8.08894- 3 1.30000+ 1 2.40000+ 1 3.33980- 4 8.25026- 3 1.30000+ 1 2.50000+ 1 6.97092- 4 8.25144- 3 1.30000+ 1 2.70000+ 1 6.59328- 4 8.20447- 3 1.30000+ 1 2.90000+ 1 4.47829- 5 8.22647- 3 1.30000+ 1 3.00000+ 1 1.71575- 4 8.23214- 3 1.30000+ 1 4.10000+ 1 4.85613- 5 8.25572- 3 1.40000+ 1 1.40000+ 1 1.65074- 2 6.89220- 3 1.40000+ 1 1.60000+ 1 6.20489- 3 7.86735- 3 1.40000+ 1 1.80000+ 1 2.46848- 3 7.94716- 3 1.40000+ 1 1.90000+ 1 9.58233- 4 7.99123- 3 1.40000+ 1 2.10000+ 1 7.67852- 3 8.12395- 3 1.40000+ 1 2.20000+ 1 4.61097- 3 8.13194- 3 1.40000+ 1 2.40000+ 1 1.04234- 3 8.29326- 3 1.40000+ 1 2.50000+ 1 5.95680- 4 8.29444- 3 1.40000+ 1 2.70000+ 1 9.07527- 4 8.24747- 3 1.40000+ 1 2.90000+ 1 3.07547- 4 8.26947- 3 1.40000+ 1 3.00000+ 1 1.16548- 4 8.27514- 3 1.40000+ 1 4.10000+ 1 6.69046- 5 8.29872- 3 1.60000+ 1 1.60000+ 1 4.28410- 4 8.84250- 3 1.60000+ 1 1.80000+ 1 8.09338- 4 8.92231- 3 1.60000+ 1 1.90000+ 1 1.37749- 3 8.96638- 3 1.60000+ 1 2.10000+ 1 8.54131- 4 9.09910- 3 1.60000+ 1 2.20000+ 1 1.15514- 3 9.10709- 3 1.60000+ 1 2.40000+ 1 3.50710- 5 9.26841- 3 1.60000+ 1 2.50000+ 1 2.96757- 5 9.26959- 3 1.60000+ 1 2.70000+ 1 1.31652- 4 9.22262- 3 1.60000+ 1 2.90000+ 1 1.02520- 4 9.24462- 3 1.60000+ 1 3.00000+ 1 1.64568- 4 9.25029- 3 1.60000+ 1 4.10000+ 1 9.71156- 6 9.27387- 3 1.80000+ 1 1.80000+ 1 5.39558- 7 9.00212- 3 1.80000+ 1 1.90000+ 1 2.64372- 5 9.04619- 3 1.80000+ 1 2.10000+ 1 5.23349- 5 9.17891- 3 1.80000+ 1 2.20000+ 1 3.08079- 4 9.18690- 3 1.80000+ 1 2.40000+ 1 1.34895- 5 9.34822- 3 1.80000+ 1 2.50000+ 1 3.99267- 5 9.34940- 3 1.80000+ 1 2.70000+ 1 1.19234- 4 9.30243- 3 1.80000+ 1 3.00000+ 1 3.23720- 6 9.33010- 3 1.80000+ 1 4.10000+ 1 8.63268- 6 9.35368- 3 1.90000+ 1 1.90000+ 1 2.58980- 5 9.09026- 3 1.90000+ 1 2.10000+ 1 1.41906- 4 9.22298- 3 1.90000+ 1 2.20000+ 1 9.65783- 5 9.23097- 3 1.90000+ 1 2.40000+ 1 4.42444- 5 9.39229- 3 1.90000+ 1 2.50000+ 1 2.64377- 5 9.39347- 3 1.90000+ 1 2.70000+ 1 2.03396- 4 9.34650- 3 1.90000+ 1 2.90000+ 1 3.23726- 6 9.36850- 3 1.90000+ 1 3.00000+ 1 5.93521- 6 9.37417- 3 1.90000+ 1 4.10000+ 1 1.51077- 5 9.39775- 3 2.10000+ 1 2.10000+ 1 5.77336- 5 9.35570- 3 2.10000+ 1 2.20000+ 1 1.10608- 3 9.36369- 3 2.10000+ 1 2.40000+ 1 4.31670- 5 9.52501- 3 2.10000+ 1 2.50000+ 1 6.96067- 5 9.52619- 3 2.10000+ 1 2.70000+ 1 1.24100- 4 9.47922- 3 2.10000+ 1 2.90000+ 1 6.47499- 6 9.50122- 3 2.10000+ 1 3.00000+ 1 1.72658- 5 9.50689- 3 2.10000+ 1 4.10000+ 1 9.17243- 6 9.53047- 3 2.20000+ 1 2.20000+ 1 3.43696- 4 9.37168- 3 2.20000+ 1 2.40000+ 1 1.07915- 4 9.53300- 3 2.20000+ 1 2.50000+ 1 6.85242- 5 9.53418- 3 2.20000+ 1 2.70000+ 1 1.68877- 4 9.48721- 3 2.20000+ 1 2.90000+ 1 3.88489- 5 9.50921- 3 2.20000+ 1 3.00000+ 1 1.18697- 5 9.51488- 3 2.20000+ 1 4.10000+ 1 1.24094- 5 9.53846- 3 2.40000+ 1 2.40000+ 1 6.12965- 7 9.69432- 3 2.40000+ 1 2.50000+ 1 1.04197- 5 9.69550- 3 2.40000+ 1 2.70000+ 1 5.51673- 6 9.64853- 3 2.40000+ 1 2.90000+ 1 1.83888- 6 9.67053- 3 2.40000+ 1 3.00000+ 1 5.51673- 6 9.67620- 3 2.40000+ 1 4.10000+ 1 6.12965- 7 9.69978- 3 2.50000+ 1 2.50000+ 1 1.90440- 6 9.69668- 3 2.50000+ 1 2.70000+ 1 3.80889- 6 9.64971- 3 2.50000+ 1 2.90000+ 1 4.28506- 6 9.67171- 3 2.50000+ 1 3.00000+ 1 2.85655- 6 9.67738- 3 2.50000+ 1 4.10000+ 1 4.76114- 7 9.70096- 3 2.70000+ 1 2.70000+ 1 2.21165- 5 9.60274- 3 2.70000+ 1 2.90000+ 1 3.25918- 5 9.62474- 3 2.70000+ 1 3.00000+ 1 5.23797- 5 9.63041- 3 2.70000+ 1 4.10000+ 1 3.49200- 6 9.65399- 3 2.90000+ 1 3.00000+ 1 2.25260- 6 9.65241- 3 2.90000+ 1 4.10000+ 1 4.50530- 6 9.67599- 3 3.00000+ 1 3.00000+ 1 8.77382- 7 9.65808- 3 3.00000+ 1 4.10000+ 1 2.63212- 6 9.68166- 3 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.14740- 6 9.27400- 4 8.00000+ 0 5.71951- 3 7.08590- 3 1.10000+ 1 1.36920- 4 7.47860- 3 1.30000+ 1 1.79620- 1 7.81980- 3 1.60000+ 1 1.22460- 3 8.83795- 3 1.90000+ 1 3.27541- 5 8.96183- 3 2.10000+ 1 3.17611- 2 9.09455- 3 2.40000+ 1 4.62231- 5 9.26386- 3 2.70000+ 1 2.20510- 4 9.21807- 3 3.00000+ 1 7.27231- 6 9.24574- 3 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 7.95143- 3 4.90550- 4 6.00000+ 0 1.80000+ 1 4.56113- 2 5.70360- 4 6.00000+ 0 1.90000+ 1 1.44750- 2 6.14430- 4 6.00000+ 0 2.10000+ 1 5.40059- 2 7.47150- 4 6.00000+ 0 2.20000+ 1 1.92143- 2 7.55140- 4 6.00000+ 0 2.40000+ 1 1.31198- 3 9.16460- 4 6.00000+ 0 2.50000+ 1 1.49036- 3 9.17640- 4 6.00000+ 0 2.70000+ 1 1.15740- 3 8.70670- 4 6.00000+ 0 2.90000+ 1 5.42913- 3 8.92670- 4 6.00000+ 0 3.00000+ 1 1.70827- 3 8.98340- 4 6.00000+ 0 4.10000+ 1 8.51057- 5 9.21920- 4 8.00000+ 0 8.00000+ 0 8.03412- 4 4.89700- 3 8.00000+ 0 1.00000+ 1 2.30569- 2 5.09410- 3 8.00000+ 0 1.10000+ 1 2.23380- 3 5.28970- 3 8.00000+ 0 1.30000+ 1 2.55516- 3 5.63090- 3 8.00000+ 0 1.40000+ 1 2.69553- 3 5.67390- 3 8.00000+ 0 1.60000+ 1 2.95477- 4 6.64905- 3 8.00000+ 0 1.80000+ 1 3.44362- 3 6.72886- 3 8.00000+ 0 1.90000+ 1 4.37090- 4 6.77293- 3 8.00000+ 0 2.10000+ 1 3.43817- 4 6.90565- 3 8.00000+ 0 2.20000+ 1 3.08404- 4 6.91364- 3 8.00000+ 0 2.40000+ 1 7.28491- 5 7.07496- 3 8.00000+ 0 2.50000+ 1 3.54042- 5 7.07614- 3 8.00000+ 0 2.70000+ 1 4.49351- 5 7.02917- 3 8.00000+ 0 2.90000+ 1 4.07142- 4 7.05117- 3 8.00000+ 0 3.00000+ 1 5.10628- 5 7.05684- 3 8.00000+ 0 4.10000+ 1 3.40409- 6 7.08042- 3 1.00000+ 1 1.00000+ 1 2.34003- 2 5.29120- 3 1.00000+ 1 1.10000+ 1 6.70928- 2 5.48680- 3 1.00000+ 1 1.30000+ 1 3.57477- 2 5.82800- 3 1.00000+ 1 1.40000+ 1 5.66190- 2 5.87100- 3 1.00000+ 1 1.60000+ 1 5.56327- 3 6.84615- 3 1.00000+ 1 1.80000+ 1 8.86355- 3 6.92596- 3 1.00000+ 1 1.90000+ 1 1.44953- 2 6.97003- 3 1.00000+ 1 2.10000+ 1 6.75203- 3 7.10275- 3 1.00000+ 1 2.20000+ 1 1.06423- 2 7.11074- 3 1.00000+ 1 2.40000+ 1 3.26127- 4 7.27206- 3 1.00000+ 1 2.50000+ 1 2.26722- 4 7.27324- 3 1.00000+ 1 2.70000+ 1 8.89874- 4 7.22627- 3 1.00000+ 1 2.90000+ 1 1.09751- 3 7.24827- 3 1.00000+ 1 3.00000+ 1 1.72794- 3 7.25394- 3 1.00000+ 1 4.10000+ 1 6.60410- 5 7.27752- 3 1.10000+ 1 1.10000+ 1 1.67487- 3 5.68240- 3 1.10000+ 1 1.30000+ 1 3.82870- 2 6.02360- 3 1.10000+ 1 1.40000+ 1 5.28939- 3 6.06660- 3 1.10000+ 1 1.60000+ 1 4.57528- 4 7.04175- 3 1.10000+ 1 1.80000+ 1 1.03375- 2 7.12156- 3 1.10000+ 1 1.90000+ 1 6.14789- 4 7.16563- 3 1.10000+ 1 2.10000+ 1 6.10312- 3 7.29835- 3 1.10000+ 1 2.20000+ 1 7.97945- 4 7.30634- 3 1.10000+ 1 2.40000+ 1 1.77700- 4 7.46766- 3 1.10000+ 1 2.50000+ 1 7.35307- 5 7.46884- 3 1.10000+ 1 2.70000+ 1 7.08061- 5 7.42187- 3 1.10000+ 1 2.90000+ 1 1.22898- 3 7.44387- 3 1.10000+ 1 3.00000+ 1 7.14877- 5 7.44954- 3 1.10000+ 1 4.10000+ 1 5.44680- 6 7.47312- 3 1.30000+ 1 1.30000+ 1 3.57008- 2 6.36480- 3 1.30000+ 1 1.40000+ 1 1.47800- 1 6.40780- 3 1.30000+ 1 1.60000+ 1 6.18878- 4 7.38295- 3 1.30000+ 1 1.80000+ 1 5.43638- 3 7.46276- 3 1.30000+ 1 1.90000+ 1 7.74230- 3 7.50683- 3 1.30000+ 1 2.10000+ 1 1.13215- 2 7.63955- 3 1.30000+ 1 2.20000+ 1 2.51659- 2 7.64754- 3 1.30000+ 1 2.40000+ 1 1.27311- 3 7.80886- 3 1.30000+ 1 2.50000+ 1 1.94305- 3 7.81004- 3 1.30000+ 1 2.70000+ 1 9.94002- 5 7.76307- 3 1.30000+ 1 2.90000+ 1 6.48825- 4 7.78507- 3 1.30000+ 1 3.00000+ 1 9.13026- 4 7.79074- 3 1.30000+ 1 4.10000+ 1 7.48901- 6 7.81432- 3 1.40000+ 1 1.40000+ 1 7.10671- 3 6.45080- 3 1.40000+ 1 1.60000+ 1 5.33099- 4 7.42595- 3 1.40000+ 1 1.80000+ 1 7.62268- 3 7.50576- 3 1.40000+ 1 1.90000+ 1 9.79749- 4 7.54983- 3 1.40000+ 1 2.10000+ 1 1.94534- 2 7.68255- 3 1.40000+ 1 2.20000+ 1 2.19571- 3 7.69054- 3 1.40000+ 1 2.40000+ 1 5.15413- 4 7.85186- 3 1.40000+ 1 2.50000+ 1 1.48420- 4 7.85304- 3 1.40000+ 1 2.70000+ 1 8.23798- 5 7.80607- 3 1.40000+ 1 2.90000+ 1 8.83695- 4 7.82807- 3 1.40000+ 1 3.00000+ 1 1.13702- 4 7.83374- 3 1.40000+ 1 4.10000+ 1 6.12769- 6 7.85732- 3 1.60000+ 1 1.60000+ 1 2.65520- 5 8.40110- 3 1.60000+ 1 1.80000+ 1 8.35429- 4 8.48091- 3 1.60000+ 1 1.90000+ 1 8.98683- 5 8.52498- 3 1.60000+ 1 2.10000+ 1 8.03414- 5 8.65770- 3 1.60000+ 1 2.20000+ 1 6.19571- 5 8.66569- 3 1.60000+ 1 2.40000+ 1 1.56587- 5 8.82701- 3 1.60000+ 1 2.50000+ 1 6.12765- 6 8.82819- 3 1.60000+ 1 2.70000+ 1 8.16997- 6 8.78122- 3 1.60000+ 1 2.90000+ 1 9.87235- 5 8.80322- 3 1.60000+ 1 3.00000+ 1 1.08933- 5 8.80889- 3 1.60000+ 1 4.10000+ 1 6.80849- 7 8.83247- 3 1.80000+ 1 1.80000+ 1 7.99262- 4 8.56072- 3 1.80000+ 1 1.90000+ 1 2.23651- 3 8.60479- 3 1.80000+ 1 2.10000+ 1 1.00965- 3 8.73751- 3 1.80000+ 1 2.20000+ 1 1.44465- 3 8.74550- 3 1.80000+ 1 2.40000+ 1 4.01684- 5 8.90682- 3 1.80000+ 1 2.50000+ 1 2.31475- 5 8.90800- 3 1.80000+ 1 2.70000+ 1 1.33444- 4 8.86103- 3 1.80000+ 1 2.90000+ 1 1.96083- 4 8.88303- 3 1.80000+ 1 3.00000+ 1 2.66889- 4 8.88870- 3 1.80000+ 1 4.10000+ 1 1.02124- 5 8.91228- 3 1.90000+ 1 1.90000+ 1 5.66325- 5 8.64886- 3 1.90000+ 1 2.10000+ 1 1.24720- 3 8.78158- 3 1.90000+ 1 2.20000+ 1 1.51479- 4 8.78957- 3 1.90000+ 1 2.40000+ 1 2.93400- 5 8.95089- 3 1.90000+ 1 2.50000+ 1 1.15990- 5 8.95207- 3 1.90000+ 1 2.70000+ 1 1.43284- 5 8.90510- 3 1.90000+ 1 2.90000+ 1 2.66095- 4 8.92710- 3 1.90000+ 1 3.00000+ 1 1.29642- 5 8.93277- 3 1.90000+ 1 4.10000+ 1 1.36463- 6 8.95635- 3 2.10000+ 1 2.10000+ 1 8.86424- 4 8.91430- 3 2.10000+ 1 2.20000+ 1 3.43688- 3 8.92229- 3 2.10000+ 1 2.40000+ 1 1.39577- 4 9.08361- 3 2.10000+ 1 2.50000+ 1 2.15829- 4 9.08479- 3 2.10000+ 1 2.70000+ 1 1.29362- 5 9.03782- 3 2.10000+ 1 2.90000+ 1 1.19823- 4 9.05982- 3 2.10000+ 1 3.00000+ 1 1.47058- 4 9.06549- 3 2.10000+ 1 4.10000+ 1 6.80851- 7 9.08907- 3 2.20000+ 1 2.20000+ 1 2.57286- 4 8.93028- 3 2.20000+ 1 2.40000+ 1 9.12338- 5 9.09160- 3 2.20000+ 1 2.50000+ 1 2.66518- 5 9.09278- 3 2.20000+ 1 2.70000+ 1 1.43514- 5 9.04581- 3 2.20000+ 1 2.90000+ 1 2.52171- 4 9.06781- 3 2.20000+ 1 3.00000+ 1 2.66518- 5 9.07348- 3 2.20000+ 1 4.10000+ 1 1.02509- 6 9.09706- 3 2.40000+ 1 2.40000+ 1 2.87457- 6 9.25292- 3 2.40000+ 1 2.50000+ 1 1.34149- 5 9.25410- 3 2.40000+ 1 2.70000+ 1 3.83262- 6 9.20713- 3 2.40000+ 1 2.90000+ 1 6.70718- 6 9.22913- 3 2.40000+ 1 3.00000+ 1 4.79081- 6 9.23480- 3 2.50000+ 1 2.50000+ 1 1.26641- 6 9.25528- 3 2.50000+ 1 2.70000+ 1 1.26641- 6 9.20831- 3 2.50000+ 1 2.90000+ 1 5.06541- 6 9.23031- 3 2.50000+ 1 3.00000+ 1 2.53279- 6 9.23598- 3 2.70000+ 1 2.70000+ 1 1.30499- 6 9.16134- 3 2.70000+ 1 2.90000+ 1 3.00131- 5 9.18334- 3 2.70000+ 1 3.00000+ 1 2.60994- 6 9.18901- 3 2.90000+ 1 2.90000+ 1 2.68093- 5 9.20534- 3 2.90000+ 1 3.00000+ 1 7.00049- 5 9.21101- 3 2.90000+ 1 4.10000+ 1 2.97896- 6 9.23459- 3 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.06781- 2 6.15850- 3 1.00000+ 1 7.87365- 5 6.35560- 3 1.10000+ 1 7.15654- 5 6.55120- 3 1.30000+ 1 1.63411- 2 6.89240- 3 1.40000+ 1 1.44331- 1 6.93540- 3 1.60000+ 1 1.63601- 3 7.91055- 3 1.80000+ 1 1.42001- 5 7.99036- 3 1.90000+ 1 1.37901- 5 8.03443- 3 2.10000+ 1 2.74402- 3 8.16715- 3 2.20000+ 1 2.45452- 2 8.17514- 3 2.40000+ 1 6.64694- 6 8.33646- 3 2.50000+ 1 3.72932- 5 8.33764- 3 2.70000+ 1 3.15172- 4 8.29067- 3 2.90000+ 1 3.21802- 6 8.31267- 3 3.00000+ 1 2.80762- 6 8.31834- 3 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.06655- 3 3.96960- 3 8.00000+ 0 1.00000+ 1 6.46781- 4 4.16670- 3 8.00000+ 0 1.10000+ 1 2.52779- 2 4.36230- 3 8.00000+ 0 1.30000+ 1 2.68881- 3 4.70350- 3 8.00000+ 0 1.40000+ 1 3.56391- 3 4.74650- 3 8.00000+ 0 1.60000+ 1 3.93112- 4 5.72165- 3 8.00000+ 0 1.80000+ 1 1.14216- 4 5.80146- 3 8.00000+ 0 1.90000+ 1 3.72028- 3 5.84553- 3 8.00000+ 0 2.10000+ 1 2.49473- 4 5.97825- 3 8.00000+ 0 2.20000+ 1 2.97111- 4 5.98624- 3 8.00000+ 0 2.40000+ 1 1.11426- 4 6.14756- 3 8.00000+ 0 2.50000+ 1 1.51361- 4 6.14874- 3 8.00000+ 0 2.70000+ 1 5.95637- 5 6.10177- 3 8.00000+ 0 2.90000+ 1 1.40151- 5 6.12377- 3 8.00000+ 0 3.00000+ 1 4.15550- 4 6.12944- 3 8.00000+ 0 4.10000+ 1 4.20432- 6 6.15302- 3 1.00000+ 1 1.00000+ 1 1.58377- 4 4.36380- 3 1.00000+ 1 1.10000+ 1 4.23531- 2 4.55940- 3 1.00000+ 1 1.30000+ 1 2.41977- 3 4.90060- 3 1.00000+ 1 1.40000+ 1 2.15393- 2 4.94360- 3 1.00000+ 1 1.60000+ 1 1.28934- 4 5.91875- 3 1.00000+ 1 1.80000+ 1 5.95644- 5 5.99856- 3 1.00000+ 1 1.90000+ 1 6.47638- 3 6.04263- 3 1.00000+ 1 2.10000+ 1 4.16253- 4 6.17535- 3 1.00000+ 1 2.20000+ 1 3.12337- 3 6.18334- 3 1.00000+ 1 2.40000+ 1 1.21231- 4 6.34466- 3 1.00000+ 1 2.50000+ 1 2.38955- 4 6.34584- 3 1.00000+ 1 2.70000+ 1 2.03214- 5 6.29887- 3 1.00000+ 1 2.90000+ 1 7.70840- 6 6.32087- 3 1.00000+ 1 3.00000+ 1 7.28792- 4 6.32654- 3 1.00000+ 1 4.10000+ 1 1.40153- 6 6.35012- 3 1.10000+ 1 1.10000+ 1 5.67684- 2 4.75500- 3 1.10000+ 1 1.30000+ 1 5.88719- 2 5.09620- 3 1.10000+ 1 1.40000+ 1 8.48470- 2 5.13920- 3 1.10000+ 1 1.60000+ 1 6.02091- 3 6.11435- 3 1.10000+ 1 1.80000+ 1 8.99261- 3 6.19416- 3 1.10000+ 1 1.90000+ 1 2.08432- 2 6.23823- 3 1.10000+ 1 2.10000+ 1 1.06031- 2 6.37095- 3 1.10000+ 1 2.20000+ 1 1.50111- 2 6.37894- 3 1.10000+ 1 2.40000+ 1 5.33278- 4 6.54026- 3 1.10000+ 1 2.50000+ 1 5.08756- 4 6.54144- 3 1.10000+ 1 2.70000+ 1 9.60757- 4 6.49447- 3 1.10000+ 1 2.90000+ 1 1.13178- 3 6.51647- 3 1.10000+ 1 3.00000+ 1 2.42739- 3 6.52214- 3 1.10000+ 1 4.10000+ 1 7.14783- 5 6.54572- 3 1.30000+ 1 1.30000+ 1 8.50021- 3 5.43740- 3 1.30000+ 1 1.40000+ 1 1.60888- 1 5.48040- 3 1.30000+ 1 1.60000+ 1 6.10347- 4 6.45555- 3 1.30000+ 1 1.80000+ 1 5.19230- 4 6.53536- 3 1.30000+ 1 1.90000+ 1 8.31970- 3 6.57943- 3 1.30000+ 1 2.10000+ 1 2.65427- 3 6.71215- 3 1.30000+ 1 2.20000+ 1 2.11565- 2 6.72014- 3 1.30000+ 1 2.40000+ 1 3.01328- 4 6.88146- 3 1.30000+ 1 2.50000+ 1 7.69395- 4 6.88264- 3 1.30000+ 1 2.70000+ 1 9.67012- 5 6.83567- 3 1.30000+ 1 2.90000+ 1 6.51676- 5 6.85767- 3 1.30000+ 1 3.00000+ 1 9.23571- 4 6.86334- 3 1.30000+ 1 4.10000+ 1 7.00737- 6 6.88692- 3 1.40000+ 1 1.40000+ 1 1.08261- 1 5.52340- 3 1.40000+ 1 1.60000+ 1 8.45802- 4 6.49855- 3 1.40000+ 1 1.80000+ 1 4.21491- 3 6.57836- 3 1.40000+ 1 1.90000+ 1 1.35218- 2 6.62243- 3 1.40000+ 1 2.10000+ 1 2.54131- 2 6.75515- 3 1.40000+ 1 2.20000+ 1 3.22377- 2 6.76314- 3 1.40000+ 1 2.40000+ 1 3.20952- 3 6.92446- 3 1.40000+ 1 2.50000+ 1 2.18988- 3 6.92564- 3 1.40000+ 1 2.70000+ 1 1.35249- 4 6.87867- 3 1.40000+ 1 2.90000+ 1 5.22747- 4 6.90067- 3 1.40000+ 1 3.00000+ 1 1.53957- 3 6.90634- 3 1.40000+ 1 4.10000+ 1 9.81010- 6 6.92992- 3 1.60000+ 1 1.60000+ 1 3.64396- 5 7.47370- 3 1.60000+ 1 1.80000+ 1 2.31250- 5 7.55351- 3 1.60000+ 1 1.90000+ 1 8.88531- 4 7.59758- 3 1.60000+ 1 2.10000+ 1 6.16648- 5 7.73030- 3 1.60000+ 1 2.20000+ 1 7.70829- 5 7.73829- 3 1.60000+ 1 2.40000+ 1 1.61175- 5 7.89961- 3 1.60000+ 1 2.50000+ 1 2.45259- 5 7.90079- 3 1.60000+ 1 2.70000+ 1 1.12113- 5 7.85382- 3 1.60000+ 1 2.90000+ 1 2.80291- 6 7.87582- 3 1.60000+ 1 3.00000+ 1 9.95065- 5 7.88149- 3 1.60000+ 1 4.10000+ 1 7.00754- 7 7.90507- 3 1.80000+ 1 1.80000+ 1 4.90519- 6 7.63332- 3 1.80000+ 1 1.90000+ 1 1.37210- 3 7.67739- 3 1.80000+ 1 2.10000+ 1 8.61940- 5 7.81011- 3 1.80000+ 1 2.20000+ 1 6.37695- 4 7.81810- 3 1.80000+ 1 2.40000+ 1 1.75194- 5 7.97942- 3 1.80000+ 1 2.50000+ 1 3.22340- 5 7.98060- 3 1.80000+ 1 2.70000+ 1 3.50368- 6 7.93363- 3 1.80000+ 1 2.90000+ 1 1.40151- 6 7.95563- 3 1.80000+ 1 3.00000+ 1 1.54160- 4 7.96130- 3 1.90000+ 1 1.90000+ 1 1.80287- 3 7.72146- 3 1.90000+ 1 2.10000+ 1 1.46871- 3 7.85418- 3 1.90000+ 1 2.20000+ 1 2.30702- 3 7.86217- 3 1.90000+ 1 2.40000+ 1 6.03682- 5 8.02349- 3 1.90000+ 1 2.50000+ 1 6.10570- 5 8.02467- 3 1.90000+ 1 2.70000+ 1 1.38579- 4 7.97770- 3 1.90000+ 1 2.90000+ 1 1.68759- 4 7.99970- 3 1.90000+ 1 3.00000+ 1 4.17093- 4 8.00537- 3 1.90000+ 1 4.10000+ 1 1.02898- 5 8.02895- 3 2.10000+ 1 2.10000+ 1 2.00428- 4 7.98690- 3 2.10000+ 1 2.20000+ 1 3.46587- 3 7.99489- 3 2.10000+ 1 2.40000+ 1 3.22349- 5 8.15621- 3 2.10000+ 1 2.50000+ 1 7.98871- 5 8.15739- 3 2.10000+ 1 2.70000+ 1 9.81045- 6 8.11042- 3 2.10000+ 1 2.90000+ 1 1.05111- 5 8.13242- 3 2.10000+ 1 3.00000+ 1 1.66780- 4 8.13809- 3 2.10000+ 1 4.10000+ 1 7.00775- 7 8.16167- 3 2.20000+ 1 2.20000+ 1 2.80168- 3 8.00288- 3 2.20000+ 1 2.40000+ 1 3.91052- 4 8.16420- 3 2.20000+ 1 2.50000+ 1 2.63142- 4 8.16538- 3 2.20000+ 1 2.70000+ 1 1.46642- 5 8.11841- 3 2.20000+ 1 2.90000+ 1 9.28745- 5 8.14041- 3 2.20000+ 1 3.00000+ 1 3.11192- 4 8.14608- 3 2.20000+ 1 4.10000+ 1 8.14701- 7 8.16966- 3 2.40000+ 1 2.40000+ 1 1.14680- 6 8.32552- 3 2.40000+ 1 2.50000+ 1 2.52286- 5 8.32670- 3 2.40000+ 1 2.70000+ 1 3.44041- 6 8.27973- 3 2.40000+ 1 2.90000+ 1 3.44041- 6 8.30173- 3 2.40000+ 1 3.00000+ 1 1.14680- 5 8.30740- 3 2.50000+ 1 2.50000+ 1 5.89038- 6 8.32788- 3 2.50000+ 1 2.70000+ 1 3.68138- 6 8.28091- 3 2.50000+ 1 2.90000+ 1 3.68138- 6 8.30291- 3 2.50000+ 1 3.00000+ 1 7.36298- 6 8.30858- 3 2.70000+ 1 2.70000+ 1 1.35244- 6 8.23394- 3 2.70000+ 1 2.90000+ 1 1.35244- 6 8.25594- 3 2.70000+ 1 3.00000+ 1 3.11063- 5 8.26161- 3 2.90000+ 1 3.00000+ 1 5.82274- 5 8.28361- 3 3.00000+ 1 3.00000+ 1 1.17497- 4 8.28928- 3 3.00000+ 1 4.10000+ 1 6.71423- 6 8.31286- 3 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 9.77413- 6 1.97100- 4 1.10000+ 1 1.57040- 4 3.92700- 4 1.80000+ 1 6.05932- 4 1.83186- 3 1.90000+ 1 6.55122- 4 1.87593- 3 2.90000+ 1 1.37670- 4 2.15417- 3 3.00000+ 1 1.39060- 4 2.15984- 3 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 6.12639- 2 1.68500- 5 1.00000+ 1 2.20000+ 1 9.28997- 2 2.48400- 5 1.00000+ 1 2.40000+ 1 3.19834- 2 1.86160- 4 1.00000+ 1 2.50000+ 1 4.24934- 2 1.87340- 4 1.00000+ 1 2.70000+ 1 7.96315- 3 1.40370- 4 1.00000+ 1 2.90000+ 1 6.65319- 3 1.62370- 4 1.00000+ 1 3.00000+ 1 9.71551- 3 1.68040- 4 1.00000+ 1 4.10000+ 1 5.78406- 4 1.91620- 4 1.10000+ 1 1.80000+ 1 6.41849- 2 3.56600- 5 1.10000+ 1 1.90000+ 1 8.28150- 2 7.97300- 5 1.10000+ 1 2.10000+ 1 3.50859- 2 2.12450- 4 1.10000+ 1 2.20000+ 1 5.06008- 2 2.20440- 4 1.10000+ 1 2.40000+ 1 9.91993- 2 3.81760- 4 1.10000+ 1 2.50000+ 1 1.23605- 1 3.82940- 4 1.10000+ 1 2.70000+ 1 9.03748- 3 3.35970- 4 1.10000+ 1 2.90000+ 1 7.57113- 3 3.57970- 4 1.10000+ 1 3.00000+ 1 9.65283- 3 3.63640- 4 1.10000+ 1 4.10000+ 1 6.58880- 4 3.87220- 4 1.30000+ 1 1.60000+ 1 2.44594- 2 2.97050- 4 1.30000+ 1 1.80000+ 1 5.42190- 3 3.76860- 4 1.30000+ 1 1.90000+ 1 5.01800- 3 4.20930- 4 1.30000+ 1 2.10000+ 1 7.99629- 3 5.53650- 4 1.30000+ 1 2.20000+ 1 1.00202- 2 5.61640- 4 1.30000+ 1 2.40000+ 1 5.05013- 3 7.22960- 4 1.30000+ 1 2.50000+ 1 4.71707- 3 7.24140- 4 1.30000+ 1 2.70000+ 1 2.61459- 3 6.77170- 4 1.30000+ 1 2.90000+ 1 5.39464- 4 6.99170- 4 1.30000+ 1 3.00000+ 1 4.65017- 4 7.04840- 4 1.30000+ 1 4.10000+ 1 1.85139- 4 7.28420- 4 1.40000+ 1 1.60000+ 1 3.50597- 2 3.40050- 4 1.40000+ 1 1.80000+ 1 1.09589- 3 4.19860- 4 1.40000+ 1 1.90000+ 1 1.03800- 2 4.63930- 4 1.40000+ 1 2.10000+ 1 1.09139- 2 5.96650- 4 1.40000+ 1 2.20000+ 1 1.62542- 2 6.04640- 4 1.40000+ 1 2.40000+ 1 5.78000- 3 7.65960- 4 1.40000+ 1 2.50000+ 1 8.94578- 3 7.67140- 4 1.40000+ 1 2.70000+ 1 3.71386- 3 7.20170- 4 1.40000+ 1 2.90000+ 1 1.11257- 4 7.42170- 4 1.40000+ 1 3.00000+ 1 9.59665- 4 7.47840- 4 1.40000+ 1 4.10000+ 1 2.63034- 4 7.71420- 4 1.60000+ 1 1.60000+ 1 4.22603- 3 1.31520- 3 1.60000+ 1 1.80000+ 1 7.15879- 3 1.39501- 3 1.60000+ 1 1.90000+ 1 1.25342- 2 1.43908- 3 1.60000+ 1 2.10000+ 1 1.36780- 2 1.57180- 3 1.60000+ 1 2.20000+ 1 1.95917- 2 1.57979- 3 1.60000+ 1 2.40000+ 1 5.62493- 3 1.74111- 3 1.60000+ 1 2.50000+ 1 7.06508- 3 1.74229- 3 1.60000+ 1 2.70000+ 1 1.11864- 3 1.69532- 3 1.60000+ 1 2.90000+ 1 9.02989- 4 1.71732- 3 1.60000+ 1 3.00000+ 1 1.49110- 3 1.72299- 3 1.60000+ 1 4.10000+ 1 8.16922- 5 1.74657- 3 1.80000+ 1 1.80000+ 1 3.49988- 4 1.47482- 3 1.80000+ 1 1.90000+ 1 9.14669- 4 1.51889- 3 1.80000+ 1 2.10000+ 1 5.21376- 4 1.65161- 3 1.80000+ 1 2.20000+ 1 2.84872- 4 1.65960- 3 1.80000+ 1 2.40000+ 1 7.89497- 5 1.82092- 3 1.80000+ 1 2.50000+ 1 3.95131- 4 1.82210- 3 1.80000+ 1 2.70000+ 1 7.50212- 4 1.77513- 3 1.80000+ 1 2.90000+ 1 6.98572- 5 1.79713- 3 1.80000+ 1 3.00000+ 1 8.51367- 5 1.80280- 3 1.80000+ 1 4.10000+ 1 5.31175- 5 1.82638- 3 1.90000+ 1 1.90000+ 1 1.17805- 3 1.56296- 3 1.90000+ 1 2.10000+ 1 8.00063- 4 1.69568- 3 1.90000+ 1 2.20000+ 1 1.93513- 3 1.70367- 3 1.90000+ 1 2.40000+ 1 4.20604- 4 1.86499- 3 1.90000+ 1 2.50000+ 1 7.86584- 4 1.86617- 3 1.90000+ 1 2.70000+ 1 1.31850- 3 1.81920- 3 1.90000+ 1 2.90000+ 1 9.78715- 5 1.84120- 3 1.90000+ 1 3.00000+ 1 2.37211- 4 1.84687- 3 1.90000+ 1 4.10000+ 1 9.35032- 5 1.87045- 3 2.10000+ 1 2.10000+ 1 1.56509- 4 1.82840- 3 2.10000+ 1 2.20000+ 1 7.54998- 4 1.83639- 3 2.10000+ 1 2.40000+ 1 3.89469- 4 1.99771- 3 2.10000+ 1 2.50000+ 1 2.88029- 3 1.99889- 3 2.10000+ 1 2.70000+ 1 1.40934- 3 1.95192- 3 2.10000+ 1 2.90000+ 1 4.70969- 5 1.97392- 3 2.10000+ 1 3.00000+ 1 7.60806- 5 1.97959- 3 2.10000+ 1 4.10000+ 1 9.96318- 5 2.00317- 3 2.20000+ 1 2.20000+ 1 4.23470- 4 1.84438- 3 2.20000+ 1 2.40000+ 1 2.86687- 3 2.00570- 3 2.20000+ 1 2.50000+ 1 1.62480- 3 2.00688- 3 2.20000+ 1 2.70000+ 1 2.02391- 3 1.95991- 3 2.20000+ 1 2.90000+ 1 2.72851- 5 1.98191- 3 2.20000+ 1 3.00000+ 1 1.83001- 4 1.98758- 3 2.20000+ 1 4.10000+ 1 1.42984- 4 2.01116- 3 2.40000+ 1 2.40000+ 1 2.97969- 4 2.16702- 3 2.40000+ 1 2.50000+ 1 2.27943- 3 2.16820- 3 2.40000+ 1 2.70000+ 1 5.38462- 4 2.12123- 3 2.40000+ 1 2.90000+ 1 7.27629- 6 2.14323- 3 2.40000+ 1 3.00000+ 1 3.38351- 5 2.14890- 3 2.40000+ 1 4.10000+ 1 3.78377- 5 2.17248- 3 2.50000+ 1 2.50000+ 1 7.26323- 4 2.16938- 3 2.50000+ 1 2.70000+ 1 6.81195- 4 2.12241- 3 2.50000+ 1 2.90000+ 1 4.54610- 5 2.14441- 3 2.50000+ 1 3.00000+ 1 6.41629- 5 2.15008- 3 2.50000+ 1 4.10000+ 1 4.76621- 5 2.17366- 3 2.70000+ 1 2.70000+ 1 1.17779- 4 2.07544- 3 2.70000+ 1 2.90000+ 1 1.60942- 4 2.09744- 3 2.70000+ 1 3.00000+ 1 2.66384- 4 2.10311- 3 2.70000+ 1 4.10000+ 1 1.72659- 5 2.12669- 3 2.90000+ 1 2.90000+ 1 6.66792- 6 2.11944- 3 2.90000+ 1 3.00000+ 1 1.77804- 5 2.12511- 3 2.90000+ 1 4.10000+ 1 1.33348- 5 2.14869- 3 3.00000+ 1 3.00000+ 1 3.02446- 5 2.13078- 3 3.00000+ 1 4.10000+ 1 2.92996- 5 2.15436- 3 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 5.85987- 4 5.36800- 4 1.60000+ 1 4.94692- 4 1.55495- 3 2.10000+ 1 2.51157- 3 1.81155- 3 2.70000+ 1 9.10354- 5 1.93507- 3 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 9.67668- 3 1.53500- 5 1.10000+ 1 2.20000+ 1 2.31652- 2 2.33400- 5 1.10000+ 1 2.40000+ 1 2.38102- 2 1.84660- 4 1.10000+ 1 2.50000+ 1 2.51345- 2 1.85840- 4 1.10000+ 1 2.70000+ 1 3.91685- 3 1.38870- 4 1.10000+ 1 2.90000+ 1 4.03426- 3 1.60870- 4 1.10000+ 1 3.00000+ 1 3.79631- 3 1.66540- 4 1.10000+ 1 4.10000+ 1 2.73612- 4 1.90120- 4 1.30000+ 1 1.60000+ 1 6.65560- 2 9.99500- 5 1.30000+ 1 1.80000+ 1 6.64468- 2 1.79760- 4 1.30000+ 1 1.90000+ 1 8.14080- 2 2.23830- 4 1.30000+ 1 2.10000+ 1 2.80508- 2 3.56550- 4 1.30000+ 1 2.20000+ 1 3.22030- 2 3.64540- 4 1.30000+ 1 2.40000+ 1 1.13614- 1 5.25860- 4 1.30000+ 1 2.50000+ 1 1.70385- 1 5.27040- 4 1.30000+ 1 2.70000+ 1 1.05382- 2 4.80070- 4 1.30000+ 1 2.90000+ 1 7.27115- 3 5.02070- 4 1.30000+ 1 3.00000+ 1 9.30918- 3 5.07740- 4 1.30000+ 1 4.10000+ 1 7.79933- 4 5.31320- 4 1.40000+ 1 1.60000+ 1 1.11380- 2 1.42950- 4 1.40000+ 1 1.80000+ 1 7.62825- 2 2.22760- 4 1.40000+ 1 1.90000+ 1 7.14597- 3 2.66830- 4 1.40000+ 1 2.10000+ 1 1.19829- 3 3.99550- 4 1.40000+ 1 2.20000+ 1 3.73910- 3 4.07540- 4 1.40000+ 1 2.40000+ 1 3.61621- 3 5.68860- 4 1.40000+ 1 2.50000+ 1 2.82702- 3 5.70040- 4 1.40000+ 1 2.70000+ 1 1.17691- 3 5.23070- 4 1.40000+ 1 2.90000+ 1 6.74803- 3 5.45070- 4 1.40000+ 1 3.00000+ 1 7.48720- 4 5.50740- 4 1.40000+ 1 4.10000+ 1 8.35206- 5 5.74320- 4 1.60000+ 1 1.60000+ 1 8.86048- 4 1.11810- 3 1.60000+ 1 1.80000+ 1 1.23257- 2 1.19791- 3 1.60000+ 1 1.90000+ 1 1.90044- 3 1.24198- 3 1.60000+ 1 2.10000+ 1 3.96671- 4 1.37470- 3 1.60000+ 1 2.20000+ 1 1.42079- 3 1.38269- 3 1.60000+ 1 2.40000+ 1 5.25034- 5 1.54401- 3 1.60000+ 1 2.50000+ 1 6.20298- 4 1.54519- 3 1.60000+ 1 2.70000+ 1 2.21676- 4 1.49822- 3 1.60000+ 1 2.90000+ 1 1.05261- 3 1.52022- 3 1.60000+ 1 3.00000+ 1 2.04821- 4 1.52589- 3 1.60000+ 1 4.10000+ 1 1.62044- 5 1.54947- 3 1.80000+ 1 1.80000+ 1 9.20624- 3 1.27772- 3 1.80000+ 1 1.90000+ 1 2.73192- 2 1.32179- 3 1.80000+ 1 2.10000+ 1 2.58692- 2 1.45451- 3 1.80000+ 1 2.20000+ 1 4.21968- 2 1.46250- 3 1.80000+ 1 2.40000+ 1 8.80806- 3 1.62382- 3 1.80000+ 1 2.50000+ 1 1.50381- 2 1.62500- 3 1.80000+ 1 2.70000+ 1 1.95005- 3 1.57803- 3 1.80000+ 1 2.90000+ 1 1.97473- 3 1.60003- 3 1.80000+ 1 3.00000+ 1 3.22800- 3 1.60570- 3 1.80000+ 1 4.10000+ 1 1.44809- 4 1.62928- 3 1.90000+ 1 1.90000+ 1 7.70599- 4 1.36586- 3 1.90000+ 1 2.10000+ 1 2.12506- 3 1.49858- 3 1.90000+ 1 2.20000+ 1 1.70216- 3 1.50657- 3 1.90000+ 1 2.40000+ 1 6.48535- 3 1.66789- 3 1.90000+ 1 2.50000+ 1 1.82092- 3 1.66907- 3 1.90000+ 1 2.70000+ 1 2.04523- 4 1.62210- 3 1.90000+ 1 2.90000+ 1 2.42544- 3 1.64410- 3 1.90000+ 1 3.00000+ 1 1.55040- 4 1.64977- 3 1.90000+ 1 4.10000+ 1 1.45146- 5 1.67335- 3 2.10000+ 1 2.10000+ 1 8.84964- 4 1.63130- 3 2.10000+ 1 2.20000+ 1 2.57297- 3 1.63929- 3 2.10000+ 1 2.40000+ 1 8.06396- 4 1.80061- 3 2.10000+ 1 2.50000+ 1 1.49091- 3 1.80179- 3 2.10000+ 1 2.70000+ 1 5.85964- 5 1.75482- 3 2.10000+ 1 2.90000+ 1 2.26731- 3 1.77682- 3 2.10000+ 1 3.00000+ 1 2.19076- 4 1.78249- 3 2.10000+ 1 4.10000+ 1 3.99540- 6 1.80607- 3 2.20000+ 1 2.20000+ 1 6.02635- 4 1.64728- 3 2.20000+ 1 2.40000+ 1 2.69821- 3 1.80860- 3 2.20000+ 1 2.50000+ 1 5.69964- 4 1.80978- 3 2.20000+ 1 2.70000+ 1 1.83114- 4 1.76281- 3 2.20000+ 1 2.90000+ 1 3.75169- 3 1.78481- 3 2.20000+ 1 3.00000+ 1 1.60476- 4 1.79048- 3 2.20000+ 1 4.10000+ 1 1.33175- 5 1.81406- 3 2.40000+ 1 2.40000+ 1 1.27784- 3 1.96992- 3 2.40000+ 1 2.50000+ 1 8.54860- 3 1.97110- 3 2.40000+ 1 2.70000+ 1 2.66354- 6 1.92413- 3 2.40000+ 1 2.90000+ 1 7.12500- 4 1.94613- 3 2.40000+ 1 3.00000+ 1 7.25823- 4 1.95180- 3 2.50000+ 1 2.50000+ 1 4.34169- 4 1.97228- 3 2.50000+ 1 2.70000+ 1 8.65667- 5 1.92531- 3 2.50000+ 1 2.90000+ 1 1.21395- 3 1.94731- 3 2.50000+ 1 3.00000+ 1 1.83790- 4 1.95298- 3 2.50000+ 1 4.10000+ 1 5.99327- 6 1.97656- 3 2.70000+ 1 2.70000+ 1 1.77900- 5 1.87834- 3 2.70000+ 1 2.90000+ 1 2.18565- 4 1.90034- 3 2.70000+ 1 3.00000+ 1 2.88033- 5 1.90601- 3 2.70000+ 1 4.10000+ 1 2.54146- 6 1.92959- 3 2.90000+ 1 2.90000+ 1 2.28881- 4 1.92234- 3 2.90000+ 1 3.00000+ 1 6.39676- 4 1.92801- 3 2.90000+ 1 4.10000+ 1 2.78762- 5 1.95159- 3 3.00000+ 1 3.00000+ 1 5.70433- 5 1.93368- 3 3.00000+ 1 4.10000+ 1 9.50724- 6 1.95726- 3 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.74229- 5 3.41200- 4 1.40000+ 1 2.32729- 4 3.84200- 4 1.60000+ 1 7.53797- 4 1.35935- 3 2.10000+ 1 3.57449- 4 1.61595- 3 2.20000+ 1 2.85669- 3 1.62394- 3 2.70000+ 1 1.36359- 4 1.73947- 3 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.90000+ 1 5.75955- 2 2.82300- 5 1.30000+ 1 2.10000+ 1 1.00695- 2 1.60950- 4 1.30000+ 1 2.20000+ 1 9.33385- 3 1.68940- 4 1.30000+ 1 2.40000+ 1 1.19989- 2 3.30260- 4 1.30000+ 1 2.50000+ 1 1.74356- 2 3.31440- 4 1.30000+ 1 2.70000+ 1 2.00186- 3 2.84470- 4 1.30000+ 1 2.90000+ 1 1.39919- 3 3.06470- 4 1.30000+ 1 3.00000+ 1 5.34017- 3 3.12140- 4 1.30000+ 1 4.10000+ 1 1.44828- 4 3.35720- 4 1.40000+ 1 1.80000+ 1 8.05237- 2 2.71600- 5 1.40000+ 1 1.90000+ 1 1.30792- 1 7.12300- 5 1.40000+ 1 2.10000+ 1 4.48732- 2 2.03950- 4 1.40000+ 1 2.20000+ 1 6.48998- 2 2.11940- 4 1.40000+ 1 2.40000+ 1 1.17836- 1 3.73260- 4 1.40000+ 1 2.50000+ 1 1.40114- 1 3.74440- 4 1.40000+ 1 2.70000+ 1 1.17137- 2 3.27470- 4 1.40000+ 1 2.90000+ 1 9.56953- 3 3.49470- 4 1.40000+ 1 3.00000+ 1 1.38099- 2 3.55140- 4 1.40000+ 1 4.10000+ 1 8.54464- 4 3.78720- 4 1.60000+ 1 1.60000+ 1 6.76968- 4 9.22500- 4 1.60000+ 1 1.80000+ 1 1.04910- 3 1.00231- 3 1.60000+ 1 1.90000+ 1 1.60360- 2 1.04638- 3 1.60000+ 1 2.10000+ 1 9.52704- 4 1.17910- 3 1.60000+ 1 2.20000+ 1 1.04759- 3 1.18709- 3 1.60000+ 1 2.40000+ 1 8.89204- 4 1.34841- 3 1.60000+ 1 2.50000+ 1 1.37037- 3 1.34959- 3 1.60000+ 1 2.70000+ 1 1.68122- 4 1.30262- 3 1.60000+ 1 2.90000+ 1 1.06850- 4 1.32462- 3 1.60000+ 1 3.00000+ 1 1.32404- 3 1.33029- 3 1.60000+ 1 4.10000+ 1 1.19553- 5 1.35387- 3 1.80000+ 1 1.80000+ 1 1.19356- 4 1.08212- 3 1.80000+ 1 1.90000+ 1 1.89860- 2 1.12619- 3 1.80000+ 1 2.10000+ 1 4.48330- 4 1.25891- 3 1.80000+ 1 2.20000+ 1 3.52996- 3 1.26690- 3 1.80000+ 1 2.40000+ 1 1.01380- 3 1.42822- 3 1.80000+ 1 2.50000+ 1 5.86604- 3 1.42940- 3 1.80000+ 1 2.70000+ 1 1.15628- 4 1.38243- 3 1.80000+ 1 2.90000+ 1 2.23794- 5 1.40443- 3 1.80000+ 1 3.00000+ 1 1.58820- 3 1.41010- 3 1.80000+ 1 4.10000+ 1 8.20586- 6 1.43368- 3 1.90000+ 1 1.90000+ 1 2.65595- 2 1.17026- 3 1.90000+ 1 2.10000+ 1 3.67555- 2 1.30298- 3 1.90000+ 1 2.20000+ 1 4.89023- 2 1.31097- 3 1.90000+ 1 2.40000+ 1 1.78511- 2 1.47229- 3 1.90000+ 1 2.50000+ 1 2.02239- 2 1.47347- 3 1.90000+ 1 2.70000+ 1 2.48380- 3 1.42650- 3 1.90000+ 1 2.90000+ 1 2.35976- 3 1.44850- 3 1.90000+ 1 3.00000+ 1 5.33970- 3 1.45417- 3 1.90000+ 1 4.10000+ 1 1.83820- 4 1.47775- 3 2.10000+ 1 2.10000+ 1 2.39852- 4 1.43570- 3 2.10000+ 1 2.20000+ 1 4.83092- 3 1.44369- 3 2.10000+ 1 2.40000+ 1 4.22163- 4 1.60501- 3 2.10000+ 1 2.50000+ 1 5.16059- 3 1.60619- 3 2.10000+ 1 2.70000+ 1 9.71345- 5 1.55922- 3 2.10000+ 1 2.90000+ 1 3.21293- 5 1.58122- 3 2.10000+ 1 3.00000+ 1 3.04543- 3 1.58689- 3 2.10000+ 1 4.10000+ 1 6.72480- 6 1.61047- 3 2.20000+ 1 2.20000+ 1 2.30593- 3 1.45168- 3 2.20000+ 1 2.40000+ 1 4.15335- 3 1.61300- 3 2.20000+ 1 2.50000+ 1 3.57476- 3 1.61418- 3 2.20000+ 1 2.70000+ 1 1.09095- 4 1.56721- 3 2.20000+ 1 2.90000+ 1 2.75713- 4 1.58921- 3 2.20000+ 1 3.00000+ 1 4.01262- 3 1.59488- 3 2.20000+ 1 4.10000+ 1 7.47234- 6 1.61846- 3 2.40000+ 1 2.40000+ 1 3.76601- 4 1.77432- 3 2.40000+ 1 2.50000+ 1 1.05943- 2 1.77550- 3 2.40000+ 1 2.70000+ 1 8.74293- 5 1.72853- 3 2.40000+ 1 2.90000+ 1 1.06855- 4 1.75053- 3 2.40000+ 1 3.00000+ 1 1.41080- 3 1.75620- 3 2.40000+ 1 4.10000+ 1 5.97831- 6 1.77978- 3 2.50000+ 1 2.50000+ 1 3.98423- 3 1.77668- 3 2.50000+ 1 2.70000+ 1 1.09095- 4 1.72971- 3 2.50000+ 1 2.90000+ 1 6.20199- 4 1.75171- 3 2.50000+ 1 3.00000+ 1 1.64238- 3 1.75738- 3 2.50000+ 1 4.10000+ 1 7.47230- 6 1.78096- 3 2.70000+ 1 2.70000+ 1 1.78217- 5 1.68274- 3 2.70000+ 1 2.90000+ 1 1.90092- 5 1.70474- 3 2.70000+ 1 3.00000+ 1 3.26721- 4 1.71041- 3 2.70000+ 1 4.10000+ 1 2.37614- 6 1.73399- 3 2.90000+ 1 2.90000+ 1 1.47376- 6 1.72674- 3 2.90000+ 1 3.00000+ 1 3.90541- 4 1.73241- 3 2.90000+ 1 4.10000+ 1 1.47376- 6 1.75599- 3 3.00000+ 1 3.00000+ 1 1.29544- 3 1.73808- 3 3.00000+ 1 4.10000+ 1 7.44498- 5 1.76166- 3 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.99158- 3 1.09796- 3 1.90000+ 1 3.51528- 4 1.14203- 3 2.40000+ 1 7.82206- 3 1.44406- 3 2.90000+ 1 6.03097- 4 1.42027- 3 3.00000+ 1 7.07576- 5 1.42594- 3 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 1.09113- 1 3.20600- 5 1.40000+ 1 2.50000+ 1 1.52543- 2 3.32400- 5 1.40000+ 1 2.90000+ 1 6.47657- 4 8.27000- 6 1.40000+ 1 3.00000+ 1 1.74223- 3 1.39400- 5 1.40000+ 1 4.10000+ 1 1.22566- 4 3.75200- 5 1.60000+ 1 1.60000+ 1 3.86630- 5 5.81300- 4 1.60000+ 1 1.80000+ 1 2.28732- 3 6.61110- 4 1.60000+ 1 1.90000+ 1 1.56890- 3 7.05180- 4 1.60000+ 1 2.10000+ 1 5.51099- 2 8.37900- 4 1.60000+ 1 2.20000+ 1 6.66838- 3 8.45890- 4 1.60000+ 1 2.40000+ 1 1.29363- 2 1.00721- 3 1.60000+ 1 2.50000+ 1 4.16766- 3 1.00839- 3 1.60000+ 1 2.70000+ 1 2.23840- 5 9.61420- 4 1.60000+ 1 2.90000+ 1 2.27907- 4 9.83420- 4 1.60000+ 1 3.00000+ 1 1.26169- 4 9.89090- 4 1.60000+ 1 4.10000+ 1 2.03490- 6 1.01267- 3 1.80000+ 1 1.80000+ 1 1.29018- 3 7.40920- 4 1.80000+ 1 1.90000+ 1 8.28827- 3 7.84990- 4 1.80000+ 1 2.10000+ 1 4.76132- 2 9.17710- 4 1.80000+ 1 2.20000+ 1 3.93335- 3 9.25700- 4 1.80000+ 1 2.40000+ 1 8.08026- 3 1.08702- 3 1.80000+ 1 2.50000+ 1 4.16763- 3 1.08820- 3 1.80000+ 1 2.70000+ 1 2.42162- 4 1.04123- 3 1.80000+ 1 2.90000+ 1 2.60473- 4 1.06323- 3 1.80000+ 1 3.00000+ 1 7.46809- 4 1.06890- 3 1.80000+ 1 4.10000+ 1 1.62802- 5 1.09248- 3 1.90000+ 1 1.90000+ 1 3.00377- 3 8.29060- 4 1.90000+ 1 2.10000+ 1 1.00865- 1 9.61780- 4 1.90000+ 1 2.20000+ 1 3.78092- 3 9.69770- 4 1.90000+ 1 2.40000+ 1 4.71113- 3 1.13109- 3 1.90000+ 1 2.50000+ 1 2.40944- 3 1.13227- 3 1.90000+ 1 2.70000+ 1 1.87229- 4 1.08530- 3 1.90000+ 1 2.90000+ 1 7.16320- 4 1.10730- 3 1.90000+ 1 3.00000+ 1 5.20971- 4 1.11297- 3 1.90000+ 1 4.10000+ 1 1.42446- 5 1.13655- 3 2.10000+ 1 2.10000+ 1 8.53190- 2 1.09450- 3 2.10000+ 1 2.20000+ 1 1.72465- 1 1.10249- 3 2.10000+ 1 2.40000+ 1 5.06021- 2 1.26381- 3 2.10000+ 1 2.50000+ 1 6.35370- 2 1.26499- 3 2.10000+ 1 2.70000+ 1 7.92183- 3 1.21802- 3 2.10000+ 1 2.90000+ 1 5.93785- 3 1.24002- 3 2.10000+ 1 3.00000+ 1 1.16130- 2 1.24569- 3 2.10000+ 1 4.10000+ 1 5.81975- 4 1.26927- 3 2.20000+ 1 2.20000+ 1 2.81828- 3 1.11048- 3 2.20000+ 1 2.40000+ 1 5.23151- 2 1.27180- 3 2.20000+ 1 2.50000+ 1 2.93233- 3 1.27298- 3 2.20000+ 1 2.70000+ 1 5.51456- 4 1.22601- 3 2.20000+ 1 2.90000+ 1 3.29659- 4 1.24801- 3 2.20000+ 1 3.00000+ 1 3.60185- 4 1.25368- 3 2.20000+ 1 4.10000+ 1 3.86628- 5 1.27726- 3 2.40000+ 1 2.40000+ 1 3.03430- 2 1.43312- 3 2.40000+ 1 2.50000+ 1 9.09600- 2 1.43430- 3 2.40000+ 1 2.70000+ 1 1.90059- 3 1.38733- 3 2.40000+ 1 2.90000+ 1 8.32279- 4 1.40933- 3 2.40000+ 1 3.00000+ 1 5.31116- 4 1.41500- 3 2.40000+ 1 4.10000+ 1 1.42442- 4 1.43858- 3 2.50000+ 1 2.50000+ 1 2.20166- 3 1.43548- 3 2.50000+ 1 2.70000+ 1 5.20590- 4 1.38851- 3 2.50000+ 1 2.90000+ 1 2.98502- 4 1.41051- 3 2.50000+ 1 3.00000+ 1 2.96108- 4 1.41618- 3 2.50000+ 1 4.10000+ 1 3.58206- 5 1.43976- 3 2.70000+ 1 2.70000+ 1 1.66484- 5 1.34154- 3 2.70000+ 1 2.90000+ 1 2.16433- 4 1.36354- 3 2.70000+ 1 3.00000+ 1 1.33197- 4 1.36921- 3 2.90000+ 1 2.90000+ 1 1.12060- 4 1.38554- 3 2.90000+ 1 3.00000+ 1 5.44307- 4 1.39121- 3 2.90000+ 1 4.10000+ 1 1.60089- 5 1.41479- 3 3.00000+ 1 3.00000+ 1 7.88166- 4 1.39688- 3 3.00000+ 1 4.10000+ 1 6.56799- 5 1.42046- 3 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.81361- 3 1.09903- 3 2.40000+ 1 4.53181- 4 1.40106- 3 2.50000+ 1 8.76233- 3 1.40224- 3 3.00000+ 1 7.06932- 4 1.38294- 3 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 4.54003- 6 5.38300- 4 1.60000+ 1 1.80000+ 1 5.87940- 4 6.18110- 4 1.60000+ 1 1.90000+ 1 4.00443- 3 6.62180- 4 1.60000+ 1 2.10000+ 1 5.91792- 3 7.94900- 4 1.60000+ 1 2.20000+ 1 6.57958- 2 8.02890- 4 1.60000+ 1 2.40000+ 1 4.56508- 3 9.64210- 4 1.60000+ 1 2.50000+ 1 1.52279- 2 9.65390- 4 1.60000+ 1 2.70000+ 1 1.58895- 5 9.18420- 4 1.60000+ 1 2.90000+ 1 2.95108- 5 9.40420- 4 1.60000+ 1 3.00000+ 1 3.45046- 4 9.46090- 4 1.60000+ 1 4.10000+ 1 2.27007- 6 9.69670- 4 1.80000+ 1 1.80000+ 1 1.13508- 5 6.97920- 4 1.80000+ 1 1.90000+ 1 9.82247- 3 7.41990- 4 1.80000+ 1 2.10000+ 1 5.56155- 4 8.74710- 4 1.80000+ 1 2.20000+ 1 6.61580- 2 8.82700- 4 1.80000+ 1 2.40000+ 1 2.08395- 3 1.04402- 3 1.80000+ 1 2.50000+ 1 7.51157- 3 1.04520- 3 1.80000+ 1 2.70000+ 1 5.90217- 5 9.98230- 4 1.80000+ 1 2.90000+ 1 4.54004- 6 1.02023- 3 1.80000+ 1 3.00000+ 1 8.37670- 4 1.02590- 3 1.80000+ 1 4.10000+ 1 4.54004- 6 1.04948- 3 1.90000+ 1 1.90000+ 1 7.42521- 3 7.86060- 4 1.90000+ 1 2.10000+ 1 6.20852- 3 9.18780- 4 1.90000+ 1 2.20000+ 1 1.04744- 1 9.26770- 4 1.90000+ 1 2.40000+ 1 3.01000- 3 1.08809- 3 1.90000+ 1 2.50000+ 1 6.82135- 3 1.08927- 3 1.90000+ 1 2.70000+ 1 4.78973- 4 1.04230- 3 1.90000+ 1 2.90000+ 1 8.30818- 4 1.06430- 3 1.90000+ 1 3.00000+ 1 1.30750- 3 1.06997- 3 1.90000+ 1 4.10000+ 1 3.40498- 5 1.09355- 3 2.10000+ 1 2.10000+ 1 1.33261- 3 1.05150- 3 2.10000+ 1 2.20000+ 1 1.36854- 1 1.05949- 3 2.10000+ 1 2.40000+ 1 2.69236- 3 1.22081- 3 2.10000+ 1 2.50000+ 1 3.56671- 2 1.22199- 3 2.10000+ 1 2.70000+ 1 4.74452- 4 1.17502- 3 2.10000+ 1 2.90000+ 1 7.26424- 5 1.19702- 3 2.10000+ 1 3.00000+ 1 5.35739- 4 1.20269- 3 2.10000+ 1 4.10000+ 1 3.17809- 5 1.22627- 3 2.20000+ 1 2.20000+ 1 1.55553- 1 1.06748- 3 2.20000+ 1 2.40000+ 1 6.19568- 2 1.22880- 3 2.20000+ 1 2.50000+ 1 9.36282- 2 1.22998- 3 2.20000+ 1 2.70000+ 1 9.16183- 3 1.18301- 3 2.20000+ 1 2.90000+ 1 7.95430- 3 1.20501- 3 2.20000+ 1 3.00000+ 1 1.21552- 2 1.21068- 3 2.20000+ 1 4.10000+ 1 6.71941- 4 1.23426- 3 2.40000+ 1 2.40000+ 1 2.64230- 3 1.39012- 3 2.40000+ 1 2.50000+ 1 8.70959- 2 1.39130- 3 2.40000+ 1 2.70000+ 1 5.15296- 4 1.34433- 3 2.40000+ 1 2.90000+ 1 2.31537- 4 1.36633- 3 2.40000+ 1 3.00000+ 1 2.67873- 4 1.37200- 3 2.40000+ 1 4.10000+ 1 3.63208- 5 1.39558- 3 2.50000+ 1 2.50000+ 1 5.74892- 2 1.39248- 3 2.50000+ 1 2.70000+ 1 2.16557- 3 1.34551- 3 2.50000+ 1 2.90000+ 1 8.92141- 4 1.36751- 3 2.50000+ 1 3.00000+ 1 7.15065- 4 1.37318- 3 2.50000+ 1 4.10000+ 1 1.61169- 4 1.39676- 3 2.70000+ 1 2.70000+ 1 2.83832- 5 1.29854- 3 2.70000+ 1 2.90000+ 1 2.83832- 5 1.32054- 3 2.70000+ 1 3.00000+ 1 5.39275- 4 1.32621- 3 2.90000+ 1 3.00000+ 1 5.19122- 4 1.34821- 3 3.00000+ 1 3.00000+ 1 7.59607- 4 1.35388- 3 3.00000+ 1 4.10000+ 1 2.92158- 5 1.37746- 3 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.71801- 5 7.98100- 5 1.90000+ 1 1.32410- 4 1.23880- 4 2.90000+ 1 6.32577- 5 4.02120- 4 3.00000+ 1 4.29763- 5 4.07790- 4 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 2.91785- 2 6.88700- 5 1.80000+ 1 2.50000+ 1 4.15322- 2 7.00500- 5 1.80000+ 1 2.70000+ 1 3.82592- 2 2.30800- 5 1.80000+ 1 2.90000+ 1 3.06668- 2 4.50800- 5 1.80000+ 1 3.00000+ 1 5.88908- 2 5.07500- 5 1.80000+ 1 4.10000+ 1 2.72839- 3 7.43300- 5 1.90000+ 1 2.40000+ 1 1.35610- 1 1.12940- 4 1.90000+ 1 2.50000+ 1 1.64246- 1 1.14120- 4 1.90000+ 1 2.70000+ 1 4.67338- 2 6.71500- 5 1.90000+ 1 2.90000+ 1 4.77576- 2 8.91500- 5 1.90000+ 1 3.00000+ 1 5.84162- 2 9.48200- 5 1.90000+ 1 4.10000+ 1 3.36977- 3 1.18400- 4 2.10000+ 1 2.10000+ 1 3.92407- 3 7.63500- 5 2.10000+ 1 2.20000+ 1 1.62755- 2 8.43400- 5 2.10000+ 1 2.40000+ 1 4.74385- 3 2.45660- 4 2.10000+ 1 2.50000+ 1 1.10645- 2 2.46840- 4 2.10000+ 1 2.70000+ 1 1.58501- 2 1.99870- 4 2.10000+ 1 2.90000+ 1 3.31182- 3 2.21870- 4 2.10000+ 1 3.00000+ 1 8.67783- 3 2.27540- 4 2.10000+ 1 4.10000+ 1 9.62300- 4 2.51120- 4 2.20000+ 1 2.20000+ 1 9.24757- 3 9.23300- 5 2.20000+ 1 2.40000+ 1 1.26840- 2 2.53650- 4 2.20000+ 1 2.50000+ 1 1.11716- 2 2.54830- 4 2.20000+ 1 2.70000+ 1 2.28605- 2 2.07860- 4 2.20000+ 1 2.90000+ 1 8.65354- 3 2.29860- 4 2.20000+ 1 3.00000+ 1 8.26160- 3 2.35530- 4 2.20000+ 1 4.10000+ 1 1.38239- 3 2.59110- 4 2.40000+ 1 2.40000+ 1 4.05665- 3 4.14970- 4 2.40000+ 1 2.50000+ 1 9.76462- 3 4.16150- 4 2.40000+ 1 2.70000+ 1 1.21686- 2 3.69180- 4 2.40000+ 1 2.90000+ 1 1.44740- 3 3.91180- 4 2.40000+ 1 3.00000+ 1 3.71421- 3 3.96850- 4 2.40000+ 1 4.10000+ 1 6.78394- 4 4.20430- 4 2.50000+ 1 2.50000+ 1 6.79833- 3 4.17330- 4 2.50000+ 1 2.70000+ 1 1.56783- 2 3.70360- 4 2.50000+ 1 2.90000+ 1 9.15876- 4 3.92360- 4 2.50000+ 1 3.00000+ 1 4.63063- 3 3.98030- 4 2.50000+ 1 4.10000+ 1 8.72724- 4 4.21610- 4 2.70000+ 1 2.70000+ 1 2.15477- 2 3.23390- 4 2.70000+ 1 2.90000+ 1 2.61315- 2 3.45390- 4 2.70000+ 1 3.00000+ 1 4.36247- 2 3.51060- 4 2.70000+ 1 4.10000+ 1 2.81579- 3 3.74640- 4 2.90000+ 1 2.90000+ 1 4.58792- 3 3.67390- 4 2.90000+ 1 3.00000+ 1 1.90599- 2 3.73060- 4 2.90000+ 1 4.10000+ 1 3.39999- 3 3.96640- 4 3.00000+ 1 3.00000+ 1 1.53849- 2 3.78730- 4 3.00000+ 1 4.10000+ 1 6.00575- 3 4.02310- 4 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 4.40597- 4 1.76790- 4 2.70000+ 1 1.00463- 4 3.00310- 4 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 6.30282- 2 3.31300- 5 1.90000+ 1 2.50000+ 1 4.81784- 2 3.43100- 5 1.90000+ 1 2.90000+ 1 1.02837- 2 9.34000- 6 1.90000+ 1 3.00000+ 1 9.71210- 3 1.50100- 5 1.90000+ 1 4.10000+ 1 1.04853- 3 3.85900- 5 2.10000+ 1 2.10000+ 1 1.82720- 2 0.00000+ 0 2.10000+ 1 2.20000+ 1 2.44069- 1 4.53000- 6 2.10000+ 1 2.40000+ 1 1.02258- 1 1.65850- 4 2.10000+ 1 2.50000+ 1 2.12841- 1 1.67030- 4 2.10000+ 1 2.70000+ 1 2.52267- 2 1.20060- 4 2.10000+ 1 2.90000+ 1 1.77035- 2 1.42060- 4 2.10000+ 1 3.00000+ 1 3.00455- 2 1.47730- 4 2.10000+ 1 4.10000+ 1 1.84856- 3 1.71310- 4 2.20000+ 1 2.20000+ 1 1.58146- 2 1.25200- 5 2.20000+ 1 2.40000+ 1 3.37021- 2 1.73840- 4 2.20000+ 1 2.50000+ 1 8.84665- 3 1.75020- 4 2.20000+ 1 2.70000+ 1 5.30841- 3 1.28050- 4 2.20000+ 1 2.90000+ 1 2.18998- 2 1.50050- 4 2.20000+ 1 3.00000+ 1 4.51766- 3 1.55720- 4 2.20000+ 1 4.10000+ 1 3.41356- 4 1.79300- 4 2.40000+ 1 2.40000+ 1 2.30560- 3 3.35160- 4 2.40000+ 1 2.50000+ 1 1.63059- 2 3.36340- 4 2.40000+ 1 2.70000+ 1 3.13223- 3 2.89370- 4 2.40000+ 1 2.90000+ 1 1.19122- 2 3.11370- 4 2.40000+ 1 3.00000+ 1 3.53553- 3 3.17040- 4 2.40000+ 1 4.10000+ 1 2.25811- 4 3.40620- 4 2.50000+ 1 2.50000+ 1 8.14691- 4 3.37520- 4 2.50000+ 1 2.70000+ 1 2.12891- 3 2.90550- 4 2.50000+ 1 2.90000+ 1 2.45825- 2 3.12550- 4 2.50000+ 1 3.00000+ 1 1.71704- 3 3.18220- 4 2.50000+ 1 4.10000+ 1 1.31054- 4 3.41800- 4 2.70000+ 1 2.70000+ 1 3.75576- 4 2.43580- 4 2.70000+ 1 2.90000+ 1 5.78461- 3 2.65580- 4 2.70000+ 1 3.00000+ 1 9.37615- 4 2.71250- 4 2.70000+ 1 4.10000+ 1 4.79464- 5 2.94830- 4 2.90000+ 1 2.90000+ 1 1.24174- 2 2.87580- 4 2.90000+ 1 3.00000+ 1 3.41548- 2 2.93250- 4 2.90000+ 1 4.10000+ 1 1.66012- 3 3.16830- 4 3.00000+ 1 3.00000+ 1 2.00782- 3 2.98920- 4 3.00000+ 1 4.10000+ 1 3.35494- 4 3.22500- 4 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.12662- 5 1.32720- 4 2.20000+ 1 1.24250- 4 1.40710- 4 2.70000+ 1 5.83311- 5 2.56240- 4 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.94083- 2 1.21780- 4 2.10000+ 1 2.50000+ 1 5.60045- 2 1.22960- 4 2.10000+ 1 2.70000+ 1 1.25387- 2 7.59900- 5 2.10000+ 1 2.90000+ 1 9.32035- 3 9.79900- 5 2.10000+ 1 3.00000+ 1 3.44845- 2 1.03660- 4 2.10000+ 1 4.10000+ 1 8.92746- 4 1.27240- 4 2.20000+ 1 2.40000+ 1 2.55756- 1 1.29770- 4 2.20000+ 1 2.50000+ 1 2.65937- 1 1.30950- 4 2.20000+ 1 2.70000+ 1 6.48440- 2 8.39800- 5 2.20000+ 1 2.90000+ 1 6.27071- 2 1.05980- 4 2.20000+ 1 3.00000+ 1 8.93275- 2 1.11650- 4 2.20000+ 1 4.10000+ 1 4.77305- 3 1.35230- 4 2.40000+ 1 2.40000+ 1 6.47608- 4 2.91090- 4 2.40000+ 1 2.50000+ 1 1.86027- 2 2.92270- 4 2.40000+ 1 2.70000+ 1 4.06462- 3 2.45300- 4 2.40000+ 1 2.90000+ 1 1.73725- 3 2.67300- 4 2.40000+ 1 3.00000+ 1 2.49595- 2 2.72970- 4 2.40000+ 1 4.10000+ 1 2.29950- 4 2.96550- 4 2.50000+ 1 2.50000+ 1 7.41895- 3 2.93450- 4 2.50000+ 1 2.70000+ 1 8.53715- 3 2.46480- 4 2.50000+ 1 2.90000+ 1 6.86164- 3 2.68480- 4 2.50000+ 1 3.00000+ 1 3.00211- 2 2.74150- 4 2.50000+ 1 4.10000+ 1 5.32802- 4 2.97730- 4 2.70000+ 1 2.70000+ 1 1.67682- 5 1.99510- 4 2.70000+ 1 2.90000+ 1 2.91138- 4 2.21510- 4 2.70000+ 1 3.00000+ 1 5.54280- 3 2.27180- 4 2.70000+ 1 4.10000+ 1 3.04874- 6 2.50760- 4 2.90000+ 1 2.90000+ 1 2.48334- 5 2.43510- 4 2.90000+ 1 3.00000+ 1 3.38392- 3 2.49180- 4 2.90000+ 1 4.10000+ 1 1.19202- 5 2.72760- 4 3.00000+ 1 3.00000+ 1 1.02958- 2 2.54850- 4 3.00000+ 1 4.10000+ 1 6.29091- 4 2.78430- 4 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 3.35747- 5 1.69310- 4 2.90000+ 1 1.31398- 5 1.45520- 4 3.00000+ 1 2.01667- 6 1.51190- 4 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 2.40000+ 1 4.02474- 2 0.00000+ 0 2.20000+ 1 2.50000+ 1 3.54957- 3 0.00000+ 0 2.20000+ 1 4.10000+ 1 1.14189- 4 2.51000- 6 2.40000+ 1 2.40000+ 1 1.63495- 1 1.58370- 4 2.40000+ 1 2.50000+ 1 5.20931- 1 1.59550- 4 2.40000+ 1 2.70000+ 1 6.27278- 2 1.12580- 4 2.40000+ 1 2.90000+ 1 5.09136- 2 1.34580- 4 2.40000+ 1 3.00000+ 1 7.74739- 2 1.40250- 4 2.40000+ 1 4.10000+ 1 4.66242- 3 1.63830- 4 2.50000+ 1 2.50000+ 1 4.82817- 3 1.60730- 4 2.50000+ 1 2.70000+ 1 5.50385- 3 1.13760- 4 2.50000+ 1 2.90000+ 1 1.41103- 2 1.35760- 4 2.50000+ 1 3.00000+ 1 4.63967- 3 1.41430- 4 2.50000+ 1 4.10000+ 1 3.47149- 4 1.65010- 4 2.70000+ 1 2.70000+ 1 3.31357- 3 6.67900- 5 2.70000+ 1 2.90000+ 1 3.19110- 3 8.87900- 5 2.70000+ 1 3.00000+ 1 3.68360- 3 9.44600- 5 2.70000+ 1 4.10000+ 1 2.75779- 4 1.18040- 4 2.90000+ 1 2.90000+ 1 6.02141- 3 1.10790- 4 2.90000+ 1 3.00000+ 1 1.81882- 2 1.16460- 4 2.90000+ 1 4.10000+ 1 7.25515- 4 1.40040- 4 3.00000+ 1 3.00000+ 1 1.01644- 2 1.22130- 4 3.00000+ 1 4.10000+ 1 8.43673- 4 1.45710- 4 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.66869- 6 1.61320- 4 2.50000+ 1 3.41427- 5 1.62500- 4 3.00000+ 1 1.35709- 5 1.43200- 4 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 1.10069- 2 1.50380- 4 2.40000+ 1 2.50000+ 1 4.24013- 1 1.51560- 4 2.40000+ 1 2.70000+ 1 9.24882- 3 1.04590- 4 2.40000+ 1 2.90000+ 1 5.08469- 3 1.26590- 4 2.40000+ 1 3.00000+ 1 1.67993- 2 1.32260- 4 2.40000+ 1 4.10000+ 1 6.24059- 4 1.55840- 4 2.50000+ 1 2.50000+ 1 2.96912- 1 1.52740- 4 2.50000+ 1 2.70000+ 1 6.86303- 2 1.05770- 4 2.50000+ 1 2.90000+ 1 6.64500- 2 1.27770- 4 2.50000+ 1 3.00000+ 1 8.22272- 2 1.33440- 4 2.50000+ 1 4.10000+ 1 5.10629- 3 1.57020- 4 2.70000+ 1 2.70000+ 1 3.08322- 3 5.88000- 5 2.70000+ 1 2.90000+ 1 1.63162- 3 8.08000- 5 2.70000+ 1 3.00000+ 1 4.13390- 3 8.64700- 5 2.70000+ 1 4.10000+ 1 2.51287- 4 1.10050- 4 2.90000+ 1 2.90000+ 1 3.02761- 4 1.02800- 4 2.90000+ 1 3.00000+ 1 2.74399- 3 1.08470- 4 2.90000+ 1 4.10000+ 1 6.34217- 5 1.32050- 4 3.00000+ 1 3.00000+ 1 1.48682- 3 1.14140- 4 3.00000+ 1 4.10000+ 1 1.51372- 4 1.37720- 4 1 68000 0 7 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.38000- 7 2.20000- 5 3.00000+ 1 5.57151- 7 2.76700- 5 1 68000 0 9 1.67260+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 4.15331- 1 1.65200- 5 3.00000+ 1 4.10000+ 1 5.77051- 1 2.21900- 5 4.10000+ 1 4.10000+ 1 7.61811- 3 4.57700- 5 1 69000 0 0 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 5.57000+ 0 2.50000+ 1 7.43000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 1 69000 0 0 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.94880- 2 3.00000+ 0 1.00810- 2 5.00000+ 0 9.62940- 3 6.00000+ 0 8.63810- 3 8.00000+ 0 2.27740- 3 1.00000+ 1 2.07520- 3 1.10000+ 1 1.86510- 3 1.30000+ 1 1.51600- 3 1.40000+ 1 1.46980- 3 1.60000+ 1 4.53730- 4 1.80000+ 1 3.71370- 4 1.90000+ 1 3.23870- 4 2.10000+ 1 1.86950- 4 2.20000+ 1 1.78330- 4 2.40000+ 1 1.10300- 5 2.50000+ 1 9.74000- 6 2.70000+ 1 5.83000- 5 2.90000+ 1 3.55800- 5 3.00000+ 1 2.95400- 5 4.10000+ 1 5.55000- 6 1 69000 0 0 1.68934+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.91430- 2 3.00000+ 0 1.82920- 2 5.00000+ 0 1.82910- 2 6.00000+ 0 1.45850- 2 8.00000+ 0 5.72480- 3 1.00000+ 1 5.63230- 3 1.10000+ 1 4.74240- 3 1.30000+ 1 4.60630- 3 1.40000+ 1 4.40290- 3 1.60000+ 1 1.79830- 3 1.80000+ 1 1.69440- 3 1.90000+ 1 1.43410- 3 2.10000+ 1 1.23640- 3 2.20000+ 1 1.17980- 3 2.40000+ 1 7.41110- 4 2.50000+ 1 7.20010- 4 2.70000+ 1 3.60240- 4 2.90000+ 1 2.82090- 4 3.00000+ 1 2.29670- 4 4.10000+ 1 3.25700- 5 1 69000 0 0 1.68934+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.05770-10 3.00000+ 0 4.44860-10 5.00000+ 0 3.69280-10 6.00000+ 0 4.08170-10 8.00000+ 0 1.16120- 9 1.00000+ 1 1.10600- 9 1.10000+ 1 1.17860- 9 1.30000+ 1 1.03570- 9 1.40000+ 1 1.05810- 9 1.60000+ 1 2.61890- 9 1.80000+ 1 2.65870- 9 1.90000+ 1 2.82590- 9 2.10000+ 1 2.95720- 9 2.20000+ 1 3.01550- 9 2.40000+ 1 3.93500- 9 2.50000+ 1 4.01610- 9 2.70000+ 1 6.42180- 9 2.90000+ 1 7.20960- 9 3.00000+ 1 7.78880- 9 4.10000+ 1 2.09570- 8 1 69000 0 0 1.68934+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.79150- 5 3.00000+ 0 5.67170- 7 5.00000+ 0 9.77570- 7 6.00000+ 0 8.83920- 7 8.00000+ 0 1.82680- 8 1.00000+ 1 1.89990- 8 1.10000+ 1 1.97010- 8 1.30000+ 1 1.87680- 8 1.40000+ 1 1.76010- 8 1.60000+ 1 4.74040-10 1.80000+ 1 9.23220-10 1.90000+ 1 5.86830-10 2.10000+ 1 7.14450-10 2.20000+ 1 6.42630-10 2.70000+ 1 2.22340-11 1 69000 0 0 1.68934+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.59280- 6 3.00000+ 0 5.59470- 6 5.00000+ 0 3.14260- 6 6.00000+ 0 3.14330- 6 8.00000+ 0 1.82390- 5 1.00000+ 1 9.92090- 6 1.10000+ 1 1.00450- 5 1.30000+ 1 2.15290- 6 1.40000+ 1 1.25320- 6 1.60000+ 1 1.32630- 5 1.80000+ 1 1.79870- 5 1.90000+ 1 9.24980- 6 2.10000+ 1 6.36230- 6 2.20000+ 1 5.18360- 6 2.70000+ 1 4.69570- 6 1 69000 0 0 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.02476- 4 3.00000+ 0 1.28577- 4 5.00000+ 0 1.07074- 4 6.00000+ 0 1.01054- 4 8.00000+ 0 9.74714- 5 1.00000+ 1 8.18065- 5 1.10000+ 1 7.49236- 5 1.30000+ 1 5.34843- 5 1.40000+ 1 5.08568- 5 1.60000+ 1 6.14748- 5 1.80000+ 1 4.91320- 5 1.90000+ 1 4.33131- 5 2.10000+ 1 2.80457- 5 2.20000+ 1 2.63071- 5 2.40000+ 1 1.10300- 5 2.50000+ 1 9.74000- 6 2.70000+ 1 3.74257- 5 2.90000+ 1 3.55800- 5 3.00000+ 1 2.95400- 5 4.10000+ 1 5.55000- 6 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.16025+ 0 3.00000+ 0 2.48712- 1 5.00000+ 0 2.84401- 1 6.00000+ 0 2.33019- 1 8.00000+ 0 1.56869- 2 1.00000+ 1 1.58967- 2 1.10000+ 1 1.51609- 2 1.30000+ 1 1.49781- 2 1.40000+ 1 1.41891- 2 1.60000+ 1 5.38116- 4 1.80000+ 1 6.79058- 4 1.90000+ 1 2.62788- 4 2.10000+ 1 6.08904- 5 2.20000+ 1 5.88110- 5 2.70000+ 1 9.16071- 7 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.06964- 2 3.00000+ 0 1.80355- 3 5.00000+ 0 2.17534- 3 6.00000+ 0 1.57064- 3 8.00000+ 0 2.28584- 5 1.00000+ 1 2.28570- 5 1.10000+ 1 2.16205- 5 1.30000+ 1 2.09780- 5 1.40000+ 1 1.96415- 5 1.60000+ 1 1.18390- 7 1.80000+ 1 1.37900- 7 1.90000+ 1 4.69586- 8 2.10000+ 1 1.02889- 8 2.20000+ 1 9.62172- 9 2.70000+ 1 2.52652-11 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.62992+ 0 3.00000+ 0 8.80467+ 0 5.00000+ 0 6.95191+ 0 6.00000+ 0 6.57233+ 0 8.00000+ 0 6.14466+ 0 1.00000+ 1 5.00298+ 0 1.10000+ 1 4.56088+ 0 1.30000+ 1 3.03839+ 0 1.40000+ 1 2.88460+ 0 1.60000+ 1 2.86277+ 0 1.80000+ 1 2.43569+ 0 1.90000+ 1 2.04108+ 0 2.10000+ 1 1.12274+ 0 2.20000+ 1 1.08490+ 0 2.70000+ 1 9.99999- 1 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.68911- 3 3.00000+ 0 8.14888- 3 5.00000+ 0 7.34699- 3 6.00000+ 0 6.96641- 3 8.00000+ 0 2.15707- 3 1.00000+ 1 1.97054- 3 1.10000+ 1 1.76856- 3 1.30000+ 1 1.44154- 3 1.40000+ 1 1.39930- 3 1.60000+ 1 3.92137- 4 1.80000+ 1 3.22100- 4 1.90000+ 1 2.80510- 4 2.10000+ 1 1.58894- 4 2.20000+ 1 1.52013- 4 2.70000+ 1 2.08743- 5 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.72659- 1 4.98586- 2 6.00000+ 0 4.82018- 1 5.08499- 2 1.00000+ 1 5.05098- 2 5.74128- 2 1.10000+ 1 9.76196- 2 5.76229- 2 1.30000+ 1 9.26446- 4 5.79720- 2 1.40000+ 1 1.19560- 3 5.80182- 2 1.80000+ 1 1.12120- 2 5.91166- 2 1.90000+ 1 2.16849- 2 5.91641- 2 2.10000+ 1 2.12469- 4 5.93010- 2 2.20000+ 1 2.72659- 4 5.93097- 2 2.90000+ 1 2.50829- 3 5.94524- 2 3.00000+ 1 5.20078- 3 5.94585- 2 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 5.10404- 3 3.93260- 2 3.00000+ 0 5.00000+ 0 6.95844- 3 3.97776- 2 3.00000+ 0 6.00000+ 0 5.66455- 3 4.07689- 2 3.00000+ 0 8.00000+ 0 1.97777- 3 4.71296- 2 3.00000+ 0 1.00000+ 1 1.45568- 3 4.73318- 2 3.00000+ 0 1.10000+ 1 1.23828- 3 4.75419- 2 3.00000+ 0 1.30000+ 1 9.57212- 5 4.78910- 2 3.00000+ 0 1.40000+ 1 8.59452- 5 4.79372- 2 3.00000+ 0 1.60000+ 1 4.68455- 4 4.89533- 2 3.00000+ 0 1.80000+ 1 3.32717- 4 4.90356- 2 3.00000+ 0 1.90000+ 1 2.80247- 4 4.90831- 2 3.00000+ 0 2.10000+ 1 2.17627- 5 4.92200- 2 3.00000+ 0 2.20000+ 1 1.92727- 5 4.92287- 2 3.00000+ 0 2.70000+ 1 7.42373- 5 4.93487- 2 3.00000+ 0 2.90000+ 1 4.20506- 5 4.93714- 2 3.00000+ 0 3.00000+ 1 3.32897- 5 4.93775- 2 3.00000+ 0 4.10000+ 1 5.44055- 6 4.94014- 2 5.00000+ 0 5.00000+ 0 5.67860- 4 4.02292- 2 5.00000+ 0 6.00000+ 0 1.09958- 2 4.12205- 2 5.00000+ 0 8.00000+ 0 1.14248- 3 4.75812- 2 5.00000+ 0 1.00000+ 1 2.09236- 4 4.77834- 2 5.00000+ 0 1.10000+ 1 1.99716- 3 4.79935- 2 5.00000+ 0 1.30000+ 1 1.04118- 4 4.83426- 2 5.00000+ 0 1.40000+ 1 3.11595- 4 4.83888- 2 5.00000+ 0 1.60000+ 1 2.60876- 4 4.94049- 2 5.00000+ 0 1.80000+ 1 4.65671- 5 4.94872- 2 5.00000+ 0 1.90000+ 1 4.34532- 4 4.95347- 2 5.00000+ 0 2.10000+ 1 2.30536- 5 4.96716- 2 5.00000+ 0 2.20000+ 1 6.86989- 5 4.96803- 2 5.00000+ 0 2.40000+ 1 3.68853- 7 4.98476- 2 5.00000+ 0 2.50000+ 1 5.53281- 7 4.98489- 2 5.00000+ 0 2.70000+ 1 4.10363- 5 4.98003- 2 5.00000+ 0 2.90000+ 1 5.80970- 6 4.98230- 2 5.00000+ 0 3.00000+ 1 5.12711- 5 4.98291- 2 5.00000+ 0 4.10000+ 1 2.95095- 6 4.98530- 2 6.00000+ 0 6.00000+ 0 5.07546- 3 4.22118- 2 6.00000+ 0 8.00000+ 0 8.73512- 4 4.85725- 2 6.00000+ 0 1.00000+ 1 1.88822- 3 4.87747- 2 6.00000+ 0 1.10000+ 1 1.90152- 3 4.89848- 2 6.00000+ 0 1.30000+ 1 3.58255- 4 4.93339- 2 6.00000+ 0 1.40000+ 1 3.13264- 4 4.93801- 2 6.00000+ 0 1.60000+ 1 1.96602- 4 5.03962- 2 6.00000+ 0 1.80000+ 1 4.14515- 4 5.04785- 2 6.00000+ 0 1.90000+ 1 4.17015- 4 5.05260- 2 6.00000+ 0 2.10000+ 1 7.96751- 5 5.06629- 2 6.00000+ 0 2.20000+ 1 6.92570- 5 5.06716- 2 6.00000+ 0 2.40000+ 1 7.37751- 7 5.08389- 2 6.00000+ 0 2.50000+ 1 7.37751- 7 5.08402- 2 6.00000+ 0 2.70000+ 1 3.08014- 5 5.07916- 2 6.00000+ 0 2.90000+ 1 5.19197- 5 5.08143- 2 6.00000+ 0 3.00000+ 1 4.92466- 5 5.08204- 2 6.00000+ 0 4.10000+ 1 2.21322- 6 5.08443- 2 8.00000+ 0 8.00000+ 0 1.88577- 4 5.49332- 2 8.00000+ 0 1.00000+ 1 2.40508- 4 5.51354- 2 8.00000+ 0 1.10000+ 1 1.92827- 4 5.53455- 2 8.00000+ 0 1.30000+ 1 1.43858- 5 5.56946- 2 8.00000+ 0 1.40000+ 1 1.22648- 5 5.57408- 2 8.00000+ 0 1.60000+ 1 8.90821- 5 5.67569- 2 8.00000+ 0 1.80000+ 1 5.50534- 5 5.68392- 2 8.00000+ 0 1.90000+ 1 4.37105- 5 5.68867- 2 8.00000+ 0 2.10000+ 1 3.22756- 6 5.70236- 2 8.00000+ 0 2.20000+ 1 2.76647- 6 5.70323- 2 8.00000+ 0 2.70000+ 1 1.41088- 5 5.71523- 2 8.00000+ 0 2.90000+ 1 6.91633- 6 5.71750- 2 8.00000+ 0 3.00000+ 1 5.16414- 6 5.71811- 2 8.00000+ 0 4.10000+ 1 1.01439- 6 5.72050- 2 1.00000+ 1 1.00000+ 1 1.87195- 5 5.53376- 2 1.00000+ 1 1.10000+ 1 3.50791- 4 5.55477- 2 1.00000+ 1 1.30000+ 1 1.47546- 5 5.58968- 2 1.00000+ 1 1.40000+ 1 4.10360- 5 5.59430- 2 1.00000+ 1 1.60000+ 1 5.49607- 5 5.69591- 2 1.00000+ 1 1.80000+ 1 8.29970- 6 5.70414- 2 1.00000+ 1 1.90000+ 1 7.66272- 5 5.70889- 2 1.00000+ 1 2.10000+ 1 3.31982- 6 5.72258- 2 1.00000+ 1 2.20000+ 1 9.12938- 6 5.72345- 2 1.00000+ 1 2.40000+ 1 9.22167- 8 5.74018- 2 1.00000+ 1 2.50000+ 1 9.22167- 8 5.74031- 2 1.00000+ 1 2.70000+ 1 8.66839- 6 5.73545- 2 1.00000+ 1 2.90000+ 1 1.01437- 6 5.73772- 2 1.00000+ 1 3.00000+ 1 9.03708- 6 5.73833- 2 1.00000+ 1 4.10000+ 1 6.45474- 7 5.74072- 2 1.10000+ 1 1.10000+ 1 1.79355- 4 5.57578- 2 1.10000+ 1 1.30000+ 1 5.33917- 5 5.61069- 2 1.10000+ 1 1.40000+ 1 4.52758- 5 5.61531- 2 1.10000+ 1 1.60000+ 1 4.35239- 5 5.71692- 2 1.10000+ 1 1.80000+ 1 7.73671- 5 5.72515- 2 1.10000+ 1 1.90000+ 1 7.87491- 5 5.72990- 2 1.10000+ 1 2.10000+ 1 1.19877- 5 5.74359- 2 1.10000+ 1 2.20000+ 1 1.00517- 5 5.74446- 2 1.10000+ 1 2.40000+ 1 9.22167- 8 5.76119- 2 1.10000+ 1 2.50000+ 1 9.22167- 8 5.76132- 2 1.10000+ 1 2.70000+ 1 6.82394- 6 5.75646- 2 1.10000+ 1 2.90000+ 1 9.68267- 6 5.75873- 2 1.10000+ 1 3.00000+ 1 9.31397- 6 5.75934- 2 1.10000+ 1 4.10000+ 1 4.61058- 7 5.76173- 2 1.30000+ 1 1.30000+ 1 9.36394- 8 5.64560- 2 1.30000+ 1 1.40000+ 1 6.55432- 6 5.65022- 2 1.30000+ 1 1.60000+ 1 3.27731- 6 5.75183- 2 1.30000+ 1 1.80000+ 1 3.18369- 6 5.76006- 2 1.30000+ 1 1.90000+ 1 1.13298- 5 5.76481- 2 1.30000+ 1 2.20000+ 1 1.40450- 6 5.77937- 2 1.30000+ 1 2.70000+ 1 4.68171- 7 5.79137- 2 1.30000+ 1 2.90000+ 1 3.74541- 7 5.79364- 2 1.30000+ 1 3.00000+ 1 1.31088- 6 5.79425- 2 1.40000+ 1 1.40000+ 1 1.56770- 6 5.65484- 2 1.40000+ 1 1.60000+ 1 2.76651- 6 5.75645- 2 1.40000+ 1 1.80000+ 1 8.48402- 6 5.76468- 2 1.40000+ 1 1.90000+ 1 9.40592- 6 5.76943- 2 1.40000+ 1 2.10000+ 1 1.38320- 6 5.78312- 2 1.40000+ 1 2.20000+ 1 6.45491- 7 5.78399- 2 1.40000+ 1 2.70000+ 1 4.61070- 7 5.79599- 2 1.40000+ 1 2.90000+ 1 1.01440- 6 5.79826- 2 1.40000+ 1 3.00000+ 1 1.10660- 6 5.79887- 2 1.60000+ 1 1.60000+ 1 1.06767- 5 5.85805- 2 1.60000+ 1 1.80000+ 1 1.28307- 5 5.86629- 2 1.60000+ 1 1.90000+ 1 1.00206- 5 5.87104- 2 1.60000+ 1 2.10000+ 1 7.49229- 7 5.88473- 2 1.60000+ 1 2.20000+ 1 6.55542- 7 5.88559- 2 1.60000+ 1 2.70000+ 1 3.37160- 6 5.89760- 2 1.60000+ 1 2.90000+ 1 1.59211- 6 5.89987- 2 1.60000+ 1 3.00000+ 1 1.21746- 6 5.90047- 2 1.60000+ 1 4.10000+ 1 2.80958- 7 5.90287- 2 1.80000+ 1 1.80000+ 1 9.22204- 7 5.87453- 2 1.80000+ 1 1.90000+ 1 1.68762- 5 5.87928- 2 1.80000+ 1 2.10000+ 1 7.37752- 7 5.89297- 2 1.80000+ 1 2.20000+ 1 1.93652- 6 5.89383- 2 1.80000+ 1 2.70000+ 1 1.93652- 6 5.90583- 2 1.80000+ 1 2.90000+ 1 1.84432- 7 5.90810- 2 1.80000+ 1 3.00000+ 1 2.02883- 6 5.90871- 2 1.80000+ 1 4.10000+ 1 1.84432- 7 5.91111- 2 1.90000+ 1 1.90000+ 1 8.47639- 6 5.88403- 2 1.90000+ 1 2.10000+ 1 2.43469- 6 5.89772- 2 1.90000+ 1 2.20000+ 1 2.07396- 6 5.89858- 2 1.90000+ 1 2.70000+ 1 1.53293- 6 5.91058- 2 1.90000+ 1 2.90000+ 1 2.07396- 6 5.91285- 2 1.90000+ 1 3.00000+ 1 1.98381- 6 5.91346- 2 1.90000+ 1 4.10000+ 1 9.01742- 8 5.91586- 2 2.10000+ 1 2.20000+ 1 2.91702- 7 5.91227- 2 2.10000+ 1 2.70000+ 1 9.72364- 8 5.92427- 2 2.10000+ 1 2.90000+ 1 9.72364- 8 5.92655- 2 2.10000+ 1 3.00000+ 1 2.91702- 7 5.92715- 2 2.20000+ 1 2.20000+ 1 9.52127- 8 5.91313- 2 2.20000+ 1 2.70000+ 1 9.52127- 8 5.92514- 2 2.20000+ 1 2.90000+ 1 2.85631- 7 5.92741- 2 2.20000+ 1 3.00000+ 1 2.85631- 7 5.92801- 2 2.70000+ 1 2.70000+ 1 3.75338- 7 5.93714- 2 2.70000+ 1 2.90000+ 1 3.75338- 7 5.93941- 2 2.70000+ 1 3.00000+ 1 2.50220- 7 5.94002- 2 2.90000+ 1 3.00000+ 1 2.93439- 7 5.94229- 2 3.00000+ 1 3.00000+ 1 9.44766- 8 5.94289- 2 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.64760- 5 4.51600- 4 6.00000+ 0 1.23970- 3 1.44290- 3 1.00000+ 1 2.63861- 2 8.00580- 3 1.10000+ 1 3.54291- 2 8.21590- 3 1.30000+ 1 6.60072- 4 8.56500- 3 1.40000+ 1 9.88212- 4 8.61120- 3 1.80000+ 1 6.31962- 3 9.70963- 3 1.90000+ 1 8.88662- 3 9.75713- 3 2.10000+ 1 8.99542- 5 9.89405- 3 2.20000+ 1 1.39310- 4 9.90267- 3 2.90000+ 1 8.32412- 4 1.00454- 2 3.00000+ 1 1.12150- 3 1.00515- 2 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 3.98105- 2 0.00000+ 0 5.00000+ 0 1.80000+ 1 3.10515- 2 8.02300- 5 5.00000+ 0 1.90000+ 1 3.38890- 2 1.27730- 4 5.00000+ 0 2.10000+ 1 9.11492- 3 2.64650- 4 5.00000+ 0 2.20000+ 1 1.33868- 2 2.73270- 4 5.00000+ 0 2.40000+ 1 2.27635- 2 4.40570- 4 5.00000+ 0 2.50000+ 1 2.58870- 2 4.41860- 4 5.00000+ 0 2.70000+ 1 6.15429- 3 3.93300- 4 5.00000+ 0 2.90000+ 1 3.71308- 3 4.16020- 4 5.00000+ 0 3.00000+ 1 3.86308- 3 4.22060- 4 5.00000+ 0 4.10000+ 1 4.46838- 4 4.46050- 4 6.00000+ 0 1.40000+ 1 1.49011- 1 0.00000+ 0 6.00000+ 0 1.60000+ 1 4.21558- 2 9.89170- 4 6.00000+ 0 1.80000+ 1 1.75031- 2 1.07153- 3 6.00000+ 0 1.90000+ 1 2.92705- 2 1.11903- 3 6.00000+ 0 2.10000+ 1 5.25677- 2 1.25595- 3 6.00000+ 0 2.20000+ 1 6.47010- 2 1.26457- 3 6.00000+ 0 2.40000+ 1 3.27013- 2 1.43187- 3 6.00000+ 0 2.50000+ 1 3.57248- 2 1.43316- 3 6.00000+ 0 2.70000+ 1 6.41602- 3 1.38460- 3 6.00000+ 0 2.90000+ 1 2.14989- 3 1.40732- 3 6.00000+ 0 3.00000+ 1 3.42419- 3 1.41336- 3 6.00000+ 0 4.10000+ 1 4.66026- 4 1.43735- 3 8.00000+ 0 8.00000+ 0 9.48614- 3 5.52620- 3 8.00000+ 0 1.00000+ 1 1.91691- 2 5.72840- 3 8.00000+ 0 1.10000+ 1 3.31285- 2 5.93850- 3 8.00000+ 0 1.30000+ 1 2.56525- 2 6.28760- 3 8.00000+ 0 1.40000+ 1 3.47044- 2 6.33380- 3 8.00000+ 0 1.60000+ 1 3.81148- 3 7.34987- 3 8.00000+ 0 1.80000+ 1 4.29900- 3 7.43223- 3 8.00000+ 0 1.90000+ 1 7.30093- 3 7.47973- 3 8.00000+ 0 2.10000+ 1 4.87527- 3 7.61665- 3 8.00000+ 0 2.20000+ 1 6.52674- 3 7.62527- 3 8.00000+ 0 2.40000+ 1 2.49965- 4 7.79257- 3 8.00000+ 0 2.50000+ 1 2.50855- 4 7.79386- 3 8.00000+ 0 2.70000+ 1 5.89215- 4 7.74530- 3 8.00000+ 0 2.90000+ 1 5.40554- 4 7.76802- 3 8.00000+ 0 3.00000+ 1 8.62836- 4 7.77406- 3 8.00000+ 0 4.10000+ 1 4.28505- 5 7.79805- 3 1.00000+ 1 1.00000+ 1 6.29389- 5 5.93060- 3 1.00000+ 1 1.10000+ 1 5.04844- 4 6.14070- 3 1.00000+ 1 1.30000+ 1 1.03600- 3 6.48980- 3 1.00000+ 1 1.40000+ 1 1.03407- 2 6.53600- 3 1.00000+ 1 1.60000+ 1 3.04511- 3 7.55207- 3 1.00000+ 1 1.80000+ 1 1.11595- 5 7.63443- 3 1.00000+ 1 1.90000+ 1 1.01770- 4 7.68193- 3 1.00000+ 1 2.10000+ 1 1.86588- 4 7.81885- 3 1.00000+ 1 2.20000+ 1 1.25029- 3 7.82747- 3 1.00000+ 1 2.40000+ 1 8.79358- 5 7.99477- 3 1.00000+ 1 2.50000+ 1 2.67373- 4 7.99606- 3 1.00000+ 1 2.70000+ 1 4.46823- 4 7.94750- 3 1.00000+ 1 2.90000+ 1 1.33914- 6 7.97022- 3 1.00000+ 1 3.00000+ 1 1.20521- 5 7.97626- 3 1.00000+ 1 4.10000+ 1 3.21401- 5 8.00025- 3 1.10000+ 1 1.10000+ 1 8.44992- 4 6.35080- 3 1.10000+ 1 1.30000+ 1 4.93317- 3 6.69990- 3 1.10000+ 1 1.40000+ 1 3.15981- 3 6.74610- 3 1.10000+ 1 1.60000+ 1 5.23378- 3 7.76217- 3 1.10000+ 1 1.80000+ 1 1.07571- 4 7.84453- 3 1.10000+ 1 1.90000+ 1 2.75851- 4 7.89203- 3 1.10000+ 1 2.10000+ 1 4.41461- 4 8.02895- 3 1.10000+ 1 2.20000+ 1 2.79429- 4 8.03757- 3 1.10000+ 1 2.40000+ 1 2.13373- 4 8.20487- 3 1.10000+ 1 2.50000+ 1 1.51764- 4 8.20616- 3 1.10000+ 1 2.70000+ 1 7.67309- 4 8.15760- 3 1.10000+ 1 2.90000+ 1 1.33913- 5 8.18032- 3 1.10000+ 1 3.00000+ 1 3.07985- 5 8.18636- 3 1.10000+ 1 4.10000+ 1 5.53490- 5 8.21035- 3 1.30000+ 1 1.30000+ 1 1.51366- 3 7.04900- 3 1.30000+ 1 1.40000+ 1 4.89060- 2 7.09520- 3 1.30000+ 1 1.60000+ 1 3.77866- 3 8.11127- 3 1.30000+ 1 1.80000+ 1 2.90155- 4 8.19363- 3 1.30000+ 1 1.90000+ 1 1.16774- 3 8.24113- 3 1.30000+ 1 2.10000+ 1 5.63782- 4 8.37805- 3 1.30000+ 1 2.20000+ 1 6.50695- 3 8.38667- 3 1.30000+ 1 2.40000+ 1 2.86577- 4 8.55397- 3 1.30000+ 1 2.50000+ 1 6.95466- 4 8.55526- 3 1.30000+ 1 2.70000+ 1 5.47264- 4 8.50670- 3 1.30000+ 1 2.90000+ 1 3.79433- 5 8.52942- 3 1.30000+ 1 3.00000+ 1 1.39266- 4 8.53546- 3 1.30000+ 1 4.10000+ 1 3.97295- 5 8.55945- 3 1.40000+ 1 1.40000+ 1 1.36919- 2 7.14140- 3 1.40000+ 1 1.60000+ 1 5.16683- 3 8.15747- 3 1.40000+ 1 1.80000+ 1 2.07800- 3 8.23983- 3 1.40000+ 1 1.90000+ 1 7.84285- 4 8.28733- 3 1.40000+ 1 2.10000+ 1 6.39097- 3 8.42425- 3 1.40000+ 1 2.20000+ 1 3.83807- 3 8.43287- 3 1.40000+ 1 2.40000+ 1 8.92772- 4 8.60017- 3 1.40000+ 1 2.50000+ 1 5.93689- 4 8.60146- 3 1.40000+ 1 2.70000+ 1 7.50806- 4 8.55290- 3 1.40000+ 1 2.90000+ 1 2.56674- 4 8.57562- 3 1.40000+ 1 3.00000+ 1 9.46347- 5 8.58166- 3 1.40000+ 1 4.10000+ 1 5.44582- 5 8.60565- 3 1.60000+ 1 1.60000+ 1 3.62013- 4 9.17354- 3 1.60000+ 1 1.80000+ 1 6.85188- 4 9.25590- 3 1.60000+ 1 1.90000+ 1 1.15741- 3 9.30340- 3 1.60000+ 1 2.10000+ 1 7.17343- 4 9.44032- 3 1.60000+ 1 2.20000+ 1 9.66903- 4 9.44894- 3 1.60000+ 1 2.40000+ 1 3.03536- 5 9.61624- 3 1.60000+ 1 2.50000+ 1 2.94609- 5 9.61753- 3 1.60000+ 1 2.70000+ 1 1.10707- 4 9.56897- 3 1.60000+ 1 2.90000+ 1 8.61533- 5 9.59169- 3 1.60000+ 1 3.00000+ 1 1.37040- 4 9.59773- 3 1.60000+ 1 4.10000+ 1 8.03488- 6 9.62172- 3 1.80000+ 1 1.80000+ 1 4.46385- 7 9.33826- 3 1.80000+ 1 1.90000+ 1 2.18715- 5 9.38576- 3 1.80000+ 1 2.10000+ 1 4.46385- 5 9.52268- 3 1.80000+ 1 2.20000+ 1 2.60240- 4 9.53130- 3 1.80000+ 1 2.40000+ 1 1.16054- 5 9.69860- 3 1.80000+ 1 2.50000+ 1 4.01746- 5 9.69989- 3 1.80000+ 1 2.70000+ 1 1.00435- 4 9.65133- 3 1.80000+ 1 3.00000+ 1 2.67821- 6 9.68009- 3 1.80000+ 1 4.10000+ 1 7.14207- 6 9.70408- 3 1.90000+ 1 1.90000+ 1 2.18717- 5 9.43326- 3 1.90000+ 1 2.10000+ 1 1.16055- 4 9.57018- 3 1.90000+ 1 2.20000+ 1 7.81181- 5 9.57880- 3 1.90000+ 1 2.40000+ 1 3.79430- 5 9.74610- 3 1.90000+ 1 2.50000+ 1 2.63365- 5 9.74739- 3 1.90000+ 1 2.70000+ 1 1.69630- 4 9.69883- 3 1.90000+ 1 2.90000+ 1 2.67823- 6 9.72155- 3 1.90000+ 1 3.00000+ 1 4.91027- 6 9.72759- 3 1.90000+ 1 4.10000+ 1 1.24991- 5 9.75158- 3 2.10000+ 1 2.10000+ 1 4.91037- 5 9.70710- 3 2.10000+ 1 2.20000+ 1 9.24427- 4 9.71572- 3 2.10000+ 1 2.40000+ 1 3.70501- 5 9.88302- 3 2.10000+ 1 2.50000+ 1 6.96374- 5 9.88431- 3 2.10000+ 1 2.70000+ 1 1.04008- 4 9.83575- 3 2.10000+ 1 2.90000+ 1 5.80306- 6 9.85847- 3 2.10000+ 1 3.00000+ 1 1.42845- 5 9.86451- 3 2.10000+ 1 4.10000+ 1 7.58866- 6 9.88850- 3 2.20000+ 1 2.20000+ 1 2.87019- 4 9.72434- 3 2.20000+ 1 2.40000+ 1 9.24046- 5 9.89164- 3 2.20000+ 1 2.50000+ 1 6.87425- 5 9.89293- 3 2.20000+ 1 2.70000+ 1 1.40164- 4 9.84437- 3 2.20000+ 1 2.90000+ 1 3.21408- 5 9.86709- 3 2.20000+ 1 3.00000+ 1 9.37450- 6 9.87313- 3 2.20000+ 1 4.10000+ 1 1.02661- 5 9.89712- 3 2.40000+ 1 2.40000+ 1 5.80720- 7 1.00589- 2 2.40000+ 1 2.50000+ 1 1.27758- 5 1.00602- 2 2.40000+ 1 2.70000+ 1 5.22648- 6 1.00117- 2 2.40000+ 1 2.90000+ 1 1.74217- 6 1.00344- 2 2.40000+ 1 3.00000+ 1 5.80720- 6 1.00404- 2 2.40000+ 1 4.10000+ 1 5.80720- 7 1.00644- 2 2.50000+ 1 2.50000+ 1 2.37359- 6 1.00615- 2 2.50000+ 1 2.70000+ 1 4.27264- 6 1.00130- 2 2.50000+ 1 2.90000+ 1 5.22212- 6 1.00357- 2 2.50000+ 1 3.00000+ 1 3.32295- 6 1.00417- 2 2.50000+ 1 4.10000+ 1 4.74738- 7 1.00657- 2 2.70000+ 1 2.70000+ 1 2.25715- 5 9.96440- 3 2.70000+ 1 2.90000+ 1 3.32646- 5 9.98712- 3 2.70000+ 1 3.00000+ 1 5.34602- 5 9.99316- 3 2.70000+ 1 4.10000+ 1 3.56401- 6 1.00171- 2 2.90000+ 1 3.00000+ 1 2.33415- 6 1.00159- 2 2.90000+ 1 4.10000+ 1 4.66827- 6 1.00399- 2 3.00000+ 1 3.00000+ 1 9.11649- 7 1.00219- 2 3.00000+ 1 4.10000+ 1 2.73496- 6 1.00459- 2 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.37310- 6 9.91300- 4 8.00000+ 0 5.85810- 3 7.35200- 3 1.10000+ 1 1.47450- 4 7.76430- 3 1.30000+ 1 1.89400- 1 8.11340- 3 1.60000+ 1 1.28420- 3 9.17567- 3 1.90000+ 1 3.58520- 5 9.30553- 3 2.10000+ 1 3.36390- 2 9.44245- 3 2.40000+ 1 5.59150- 5 9.61837- 3 2.70000+ 1 2.33760- 4 9.57110- 3 3.00000+ 1 7.92010- 6 9.59986- 3 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 7.73363- 3 5.37570- 4 6.00000+ 0 1.80000+ 1 4.51441- 2 6.19930- 4 6.00000+ 0 1.90000+ 1 1.41850- 2 6.67430- 4 6.00000+ 0 2.10000+ 1 5.28377- 2 8.04350- 4 6.00000+ 0 2.20000+ 1 1.87451- 2 8.12970- 4 6.00000+ 0 2.40000+ 1 1.31305- 3 9.80270- 4 6.00000+ 0 2.50000+ 1 1.73779- 3 9.81560- 4 6.00000+ 0 2.70000+ 1 1.12190- 3 9.33000- 4 6.00000+ 0 2.90000+ 1 5.32460- 3 9.55720- 4 6.00000+ 0 3.00000+ 1 1.65593- 3 9.61760- 4 6.00000+ 0 4.10000+ 1 8.12349- 5 9.85750- 4 8.00000+ 0 8.00000+ 0 7.87694- 4 5.07460- 3 8.00000+ 0 1.00000+ 1 2.29226- 2 5.27680- 3 8.00000+ 0 1.10000+ 1 2.21796- 3 5.48690- 3 8.00000+ 0 1.30000+ 1 2.60753- 3 5.83600- 3 8.00000+ 0 1.40000+ 1 2.64210- 3 5.88220- 3 8.00000+ 0 1.60000+ 1 2.90313- 4 6.89827- 3 8.00000+ 0 1.80000+ 1 3.43053- 3 6.98063- 3 8.00000+ 0 1.90000+ 1 4.35475- 4 7.02813- 3 8.00000+ 0 2.10000+ 1 3.52228- 4 7.16505- 3 8.00000+ 0 2.20000+ 1 3.03622- 4 7.17367- 3 8.00000+ 0 2.40000+ 1 7.39109- 5 7.34097- 3 8.00000+ 0 2.50000+ 1 4.19495- 5 7.34226- 3 8.00000+ 0 2.70000+ 1 4.39468- 5 7.29370- 3 8.00000+ 0 2.90000+ 1 4.02174- 4 7.31642- 3 8.00000+ 0 3.00000+ 1 5.06050- 5 7.32246- 3 8.00000+ 0 4.10000+ 1 3.32920- 6 7.34645- 3 1.00000+ 1 1.00000+ 1 2.33093- 2 5.47900- 3 1.00000+ 1 1.10000+ 1 6.63459- 2 5.68910- 3 1.00000+ 1 1.30000+ 1 3.53112- 2 6.03820- 3 1.00000+ 1 1.40000+ 1 5.55637- 2 6.08440- 3 1.00000+ 1 1.60000+ 1 5.54468- 3 7.10047- 3 1.00000+ 1 1.80000+ 1 8.85612- 3 7.18283- 3 1.00000+ 1 1.90000+ 1 1.43693- 2 7.23033- 3 1.00000+ 1 2.10000+ 1 6.70678- 3 7.36725- 3 1.00000+ 1 2.20000+ 1 1.04967- 2 7.37587- 3 1.00000+ 1 2.40000+ 1 3.31607- 4 7.54317- 3 1.00000+ 1 2.50000+ 1 2.67685- 4 7.54446- 3 1.00000+ 1 2.70000+ 1 8.81609- 4 7.49590- 3 1.00000+ 1 2.90000+ 1 1.08738- 3 7.51862- 3 1.00000+ 1 3.00000+ 1 1.69333- 3 7.52466- 3 1.00000+ 1 4.10000+ 1 6.45885- 5 7.54865- 3 1.10000+ 1 1.10000+ 1 1.64932- 3 5.89920- 3 1.10000+ 1 1.30000+ 1 3.74567- 2 6.24830- 3 1.10000+ 1 1.40000+ 1 5.18771- 3 6.29450- 3 1.10000+ 1 1.60000+ 1 4.55435- 4 7.31057- 3 1.10000+ 1 1.80000+ 1 1.02393- 2 7.39293- 3 1.10000+ 1 1.90000+ 1 6.07262- 4 7.44043- 3 1.10000+ 1 2.10000+ 1 6.00012- 3 7.57735- 3 1.10000+ 1 2.20000+ 1 7.87074- 4 7.58597- 3 1.10000+ 1 2.40000+ 1 1.77121- 4 7.75327- 3 1.10000+ 1 2.50000+ 1 8.52284- 5 7.75456- 3 1.10000+ 1 2.70000+ 1 6.99139- 5 7.70600- 3 1.10000+ 1 2.90000+ 1 1.20651- 3 7.72872- 3 1.10000+ 1 3.00000+ 1 6.99139- 5 7.73476- 3 1.10000+ 1 4.10000+ 1 5.32695- 6 7.75875- 3 1.30000+ 1 1.30000+ 1 3.50101- 2 6.59740- 3 1.30000+ 1 1.40000+ 1 1.44558- 1 6.64360- 3 1.30000+ 1 1.60000+ 1 6.32563- 4 7.65967- 3 1.30000+ 1 1.80000+ 1 5.37469- 3 7.74203- 3 1.30000+ 1 1.90000+ 1 7.59153- 3 7.78953- 3 1.30000+ 1 2.10000+ 1 1.11407- 2 7.92645- 3 1.30000+ 1 2.20000+ 1 2.46900- 2 7.93507- 3 1.30000+ 1 2.40000+ 1 1.28779- 3 8.10237- 3 1.30000+ 1 2.50000+ 1 2.28592- 3 8.10366- 3 1.30000+ 1 2.70000+ 1 1.01205- 4 8.05510- 3 1.30000+ 1 2.90000+ 1 6.35890- 4 8.07782- 3 1.30000+ 1 3.00000+ 1 8.84282- 4 8.08386- 3 1.30000+ 1 4.10000+ 1 7.32447- 6 8.10785- 3 1.40000+ 1 1.40000+ 1 6.95363- 3 6.68980- 3 1.40000+ 1 1.60000+ 1 5.22694- 4 7.70587- 3 1.40000+ 1 1.80000+ 1 7.48758- 3 7.78823- 3 1.40000+ 1 1.90000+ 1 9.63500- 4 7.83573- 3 1.40000+ 1 2.10000+ 1 1.90726- 2 7.97265- 3 1.40000+ 1 2.20000+ 1 2.15609- 3 7.98127- 3 1.40000+ 1 2.40000+ 1 5.20718- 4 8.14857- 3 1.40000+ 1 2.50000+ 1 1.74463- 4 8.14986- 3 1.40000+ 1 2.70000+ 1 7.99007- 5 8.10130- 3 1.40000+ 1 2.90000+ 1 8.60297- 4 8.12402- 3 1.40000+ 1 3.00000+ 1 1.10532- 4 8.13006- 3 1.40000+ 1 4.10000+ 1 5.99289- 6 8.15405- 3 1.60000+ 1 1.60000+ 1 2.59674- 5 8.72194- 3 1.60000+ 1 1.80000+ 1 8.34988- 4 8.80430- 3 1.60000+ 1 1.90000+ 1 8.98888- 5 8.85180- 3 1.60000+ 1 2.10000+ 1 8.25682- 5 8.98872- 3 1.60000+ 1 2.20000+ 1 6.05934- 5 8.99734- 3 1.60000+ 1 2.40000+ 1 1.59812- 5 9.16464- 3 1.60000+ 1 2.50000+ 1 7.32444- 6 9.16593- 3 1.60000+ 1 2.70000+ 1 7.98995- 6 9.11737- 3 1.60000+ 1 2.90000+ 1 9.78792- 5 9.14009- 3 1.60000+ 1 3.00000+ 1 1.06537- 5 9.14613- 3 1.60000+ 1 4.10000+ 1 6.65861- 7 9.17012- 3 1.80000+ 1 1.80000+ 1 8.00988- 4 8.88666- 3 1.80000+ 1 1.90000+ 1 2.22128- 3 8.93416- 3 1.80000+ 1 2.10000+ 1 1.00408- 3 9.07108- 3 1.80000+ 1 2.20000+ 1 1.42631- 3 9.07970- 3 1.80000+ 1 2.40000+ 1 4.06175- 5 9.24700- 3 1.80000+ 1 2.50000+ 1 2.72991- 5 9.24829- 3 1.80000+ 1 2.70000+ 1 1.33164- 4 9.19973- 3 1.80000+ 1 2.90000+ 1 1.95098- 4 9.22245- 3 1.80000+ 1 3.00000+ 1 2.61679- 4 9.22849- 3 1.80000+ 1 4.10000+ 1 9.98781- 6 9.25248- 3 1.90000+ 1 1.90000+ 1 5.59318- 5 8.98166- 3 1.90000+ 1 2.10000+ 1 1.22587- 3 9.11858- 3 1.90000+ 1 2.20000+ 1 1.49143- 4 9.12720- 3 1.90000+ 1 2.40000+ 1 2.92981- 5 9.29450- 3 1.90000+ 1 2.50000+ 1 1.33163- 5 9.29579- 3 1.90000+ 1 2.70000+ 1 1.39827- 5 9.24723- 3 1.90000+ 1 2.90000+ 1 2.61677- 4 9.26995- 3 1.90000+ 1 3.00000+ 1 1.26509- 5 9.27599- 3 1.90000+ 1 4.10000+ 1 1.33163- 6 9.29998- 3 2.10000+ 1 2.10000+ 1 8.75602- 4 9.25550- 3 2.10000+ 1 2.20000+ 1 3.38178- 3 9.26412- 3 2.10000+ 1 2.40000+ 1 1.41827- 4 9.43142- 3 2.10000+ 1 2.50000+ 1 2.55040- 4 9.43271- 3 2.10000+ 1 2.70000+ 1 1.33167- 5 9.38415- 3 2.10000+ 1 2.90000+ 1 1.18517- 4 9.40687- 3 2.10000+ 1 3.00000+ 1 1.43158- 4 9.41291- 3 2.10000+ 1 4.10000+ 1 6.65871- 7 9.43690- 3 2.20000+ 1 2.20000+ 1 2.59746- 4 9.27274- 3 2.20000+ 1 2.40000+ 1 9.44530- 5 9.44004- 3 2.20000+ 1 2.50000+ 1 3.18275- 5 9.44133- 3 2.20000+ 1 2.70000+ 1 1.43731- 5 9.39277- 3 2.20000+ 1 2.90000+ 1 2.53589- 4 9.41549- 3 2.20000+ 1 3.00000+ 1 2.66944- 5 9.42153- 3 2.20000+ 1 4.10000+ 1 1.02667- 6 9.44552- 3 2.40000+ 1 2.40000+ 1 2.93603- 6 9.60734- 3 2.40000+ 1 2.50000+ 1 1.76165- 5 9.60863- 3 2.40000+ 1 2.70000+ 1 3.91465- 6 9.56007- 3 2.40000+ 1 2.90000+ 1 6.85053- 6 9.58279- 3 2.40000+ 1 3.00000+ 1 4.89327- 6 9.58883- 3 2.50000+ 1 2.50000+ 1 1.55028- 6 9.60992- 3 2.50000+ 1 2.70000+ 1 3.10038- 6 9.56136- 3 2.50000+ 1 2.90000+ 1 6.20097- 6 9.58408- 3 2.50000+ 1 3.00000+ 1 3.10038- 6 9.59012- 3 2.70000+ 1 2.70000+ 1 1.30790- 6 9.51280- 3 2.70000+ 1 2.90000+ 1 3.00815- 5 9.53552- 3 2.70000+ 1 3.00000+ 1 2.61565- 6 9.54156- 3 2.90000+ 1 2.90000+ 1 2.76223- 5 9.55824- 3 2.90000+ 1 3.00000+ 1 7.05888- 5 9.56428- 3 2.90000+ 1 4.10000+ 1 3.06893- 6 9.58827- 3 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.09680- 2 6.36070- 3 1.00000+ 1 8.29981- 5 6.56290- 3 1.10000+ 1 7.54461- 5 6.77300- 3 1.30000+ 1 1.71510- 2 7.12210- 3 1.40000+ 1 1.51460- 1 7.16830- 3 1.60000+ 1 1.73930- 3 8.18437- 3 1.80000+ 1 1.54050- 5 8.26673- 3 1.90000+ 1 1.49810- 5 8.31423- 3 2.10000+ 1 2.88460- 3 8.45115- 3 2.20000+ 1 2.57960- 2 8.45977- 3 2.40000+ 1 8.08221- 6 8.62707- 3 2.50000+ 1 4.53801- 5 8.62836- 3 2.70000+ 1 3.38110- 4 8.57980- 3 2.90000+ 1 3.45300- 6 8.60252- 3 3.00000+ 1 3.05320- 6 8.60856- 3 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.04598- 3 4.08330- 3 8.00000+ 0 1.00000+ 1 6.26773- 4 4.28550- 3 8.00000+ 0 1.10000+ 1 2.50371- 2 4.49560- 3 8.00000+ 0 1.30000+ 1 2.68339- 3 4.84470- 3 8.00000+ 0 1.40000+ 1 3.61243- 3 4.89090- 3 8.00000+ 0 1.60000+ 1 3.86434- 4 5.90697- 3 8.00000+ 0 1.80000+ 1 1.10609- 4 5.98933- 3 8.00000+ 0 1.90000+ 1 3.69024- 3 6.03683- 3 8.00000+ 0 2.10000+ 1 2.49209- 4 6.17375- 3 8.00000+ 0 2.20000+ 1 3.01108- 4 6.18237- 3 8.00000+ 0 2.40000+ 1 1.16066- 4 6.34967- 3 8.00000+ 0 2.50000+ 1 1.82305- 4 6.35096- 3 8.00000+ 0 2.70000+ 1 5.87170- 5 6.30240- 3 8.00000+ 0 2.90000+ 1 1.29728- 5 6.32512- 3 8.00000+ 0 3.00000+ 1 4.07614- 4 6.33116- 3 8.00000+ 0 4.10000+ 1 4.09645- 6 6.35515- 3 1.00000+ 1 1.00000+ 1 1.48159- 4 4.48770- 3 1.00000+ 1 1.10000+ 1 4.19829- 2 4.69780- 3 1.00000+ 1 1.30000+ 1 2.36778- 3 5.04690- 3 1.00000+ 1 1.40000+ 1 2.10678- 2 5.09310- 3 1.00000+ 1 1.60000+ 1 1.24948- 4 6.10917- 3 1.00000+ 1 1.80000+ 1 5.59864- 5 6.19153- 3 1.00000+ 1 1.90000+ 1 6.42473- 3 6.23903- 3 1.00000+ 1 2.10000+ 1 4.08967- 4 6.37595- 3 1.00000+ 1 2.20000+ 1 3.05463- 3 6.38457- 3 1.00000+ 1 2.40000+ 1 1.25635- 4 6.55187- 3 1.00000+ 1 2.50000+ 1 2.86072- 4 6.55316- 3 1.00000+ 1 2.70000+ 1 1.91176- 5 6.50460- 3 1.00000+ 1 2.90000+ 1 6.82771- 6 6.52732- 3 1.00000+ 1 3.00000+ 1 7.14157- 4 6.53336- 3 1.00000+ 1 4.10000+ 1 1.36548- 6 6.55735- 3 1.10000+ 1 1.10000+ 1 5.60447- 2 4.90790- 3 1.10000+ 1 1.30000+ 1 5.82081- 2 5.25700- 3 1.10000+ 1 1.40000+ 1 8.35720- 2 5.30320- 3 1.10000+ 1 1.60000+ 1 5.98170- 3 6.31927- 3 1.10000+ 1 1.80000+ 1 8.93692- 3 6.40163- 3 1.10000+ 1 1.90000+ 1 2.06164- 2 6.44913- 3 1.10000+ 1 2.10000+ 1 1.05184- 2 6.58605- 3 1.10000+ 1 2.20000+ 1 1.48282- 2 6.59467- 3 1.10000+ 1 2.40000+ 1 5.44845- 4 6.76197- 3 1.10000+ 1 2.50000+ 1 6.03566- 4 6.76326- 3 1.10000+ 1 2.70000+ 1 9.49058- 4 6.71470- 3 1.10000+ 1 2.90000+ 1 1.11489- 3 6.73742- 3 1.10000+ 1 3.00000+ 1 2.37196- 3 6.74346- 3 1.10000+ 1 4.10000+ 1 6.96421- 5 6.76745- 3 1.30000+ 1 1.30000+ 1 8.37827- 3 5.60610- 3 1.30000+ 1 1.40000+ 1 1.58352- 1 5.65230- 3 1.30000+ 1 1.60000+ 1 6.11743- 4 6.66837- 3 1.30000+ 1 1.80000+ 1 5.10008- 4 6.75073- 3 1.30000+ 1 1.90000+ 1 8.21811- 3 6.79823- 3 1.30000+ 1 2.10000+ 1 2.62452- 3 6.93515- 3 1.30000+ 1 2.20000+ 1 2.08653- 2 6.94377- 3 1.30000+ 1 2.40000+ 1 3.07923- 4 7.11107- 3 1.30000+ 1 2.50000+ 1 9.14876- 4 7.11236- 3 1.30000+ 1 2.70000+ 1 9.62672- 5 7.06380- 3 1.30000+ 1 2.90000+ 1 6.34953- 5 7.08652- 3 1.30000+ 1 3.00000+ 1 9.01234- 4 7.09256- 3 1.30000+ 1 4.10000+ 1 6.82759- 6 7.11655- 3 1.40000+ 1 1.40000+ 1 1.06490- 1 5.69850- 3 1.40000+ 1 1.60000+ 1 8.58929- 4 6.71457- 3 1.40000+ 1 1.80000+ 1 4.12588- 3 6.79693- 3 1.40000+ 1 1.90000+ 1 1.33117- 2 6.84443- 3 1.40000+ 1 2.10000+ 1 2.51025- 2 6.98135- 3 1.40000+ 1 2.20000+ 1 3.18043- 2 6.98997- 3 1.40000+ 1 2.40000+ 1 3.28007- 3 7.15727- 3 1.40000+ 1 2.50000+ 1 2.60555- 3 7.15856- 3 1.40000+ 1 2.70000+ 1 1.36553- 4 7.11000- 3 1.40000+ 1 2.90000+ 1 5.07316- 4 7.13272- 3 1.40000+ 1 3.00000+ 1 1.49730- 3 7.13876- 3 1.40000+ 1 4.10000+ 1 1.02418- 5 7.16275- 3 1.60000+ 1 1.60000+ 1 3.55041- 5 7.73064- 3 1.60000+ 1 1.80000+ 1 2.25306- 5 7.81300- 3 1.60000+ 1 1.90000+ 1 8.83491- 4 7.86050- 3 1.60000+ 1 2.10000+ 1 6.21303- 5 7.99742- 3 1.60000+ 1 2.20000+ 1 7.78321- 5 8.00604- 3 1.60000+ 1 2.40000+ 1 1.63859- 5 8.17334- 3 1.60000+ 1 2.50000+ 1 2.93585- 5 8.17463- 3 1.60000+ 1 2.70000+ 1 1.09243- 5 8.12607- 3 1.60000+ 1 2.90000+ 1 2.73092- 6 8.14879- 3 1.60000+ 1 3.00000+ 1 9.76314- 5 8.15483- 3 1.60000+ 1 4.10000+ 1 6.82760- 7 8.17882- 3 1.80000+ 1 1.80000+ 1 4.77913- 6 7.89536- 3 1.80000+ 1 1.90000+ 1 1.36343- 3 7.94286- 3 1.80000+ 1 2.10000+ 1 8.46574- 5 8.07978- 3 1.80000+ 1 2.20000+ 1 6.24715- 4 8.08840- 3 1.80000+ 1 2.40000+ 1 1.77520- 5 8.25570- 3 1.80000+ 1 2.50000+ 1 3.89163- 5 8.25699- 3 1.80000+ 1 2.70000+ 1 3.41368- 6 8.20843- 3 1.80000+ 1 2.90000+ 1 1.36545- 6 8.23115- 3 1.80000+ 1 3.00000+ 1 1.51571- 4 8.23719- 3 1.90000+ 1 1.90000+ 1 1.80426- 3 7.99036- 3 1.90000+ 1 2.10000+ 1 1.47300- 3 8.12728- 3 1.90000+ 1 2.20000+ 1 2.30308- 3 8.13590- 3 1.90000+ 1 2.40000+ 1 6.28667- 5 8.30320- 3 1.90000+ 1 2.50000+ 1 7.30075- 5 8.30449- 3 1.90000+ 1 2.70000+ 1 1.38576- 4 8.25593- 3 1.90000+ 1 2.90000+ 1 1.68320- 4 8.27865- 3 1.90000+ 1 3.00000+ 1 4.12365- 4 8.28469- 3 1.90000+ 1 4.10000+ 1 1.01398- 5 8.30868- 3 2.10000+ 1 2.10000+ 1 1.98684- 4 8.26420- 3 2.10000+ 1 2.20000+ 1 3.43156- 3 8.27282- 3 2.10000+ 1 2.40000+ 1 3.27726- 5 8.44012- 3 2.10000+ 1 2.50000+ 1 9.42192- 5 8.44141- 3 2.10000+ 1 2.70000+ 1 9.55834- 6 8.39285- 3 2.10000+ 1 2.90000+ 1 1.02415- 5 8.41557- 3 2.10000+ 1 3.00000+ 1 1.63186- 4 8.42161- 3 2.10000+ 1 4.10000+ 1 6.82775- 7 8.44560- 3 2.20000+ 1 2.20000+ 1 2.80473- 3 8.28144- 3 2.20000+ 1 2.40000+ 1 4.03899- 4 8.44874- 3 2.20000+ 1 2.50000+ 1 3.16375- 4 8.45003- 3 2.20000+ 1 2.70000+ 1 1.44533- 5 8.40147- 3 2.20000+ 1 2.90000+ 1 9.07340- 5 8.42419- 3 2.20000+ 1 3.00000+ 1 3.06713- 4 8.43023- 3 2.20000+ 1 4.10000+ 1 8.02974- 7 8.45422- 3 2.40000+ 1 2.40000+ 1 1.17564- 6 8.61604- 3 2.40000+ 1 2.50000+ 1 3.29179- 5 8.61733- 3 2.40000+ 1 2.70000+ 1 4.70235- 6 8.56877- 3 2.40000+ 1 2.90000+ 1 3.52685- 6 8.59149- 3 2.40000+ 1 3.00000+ 1 1.17564- 5 8.59753- 3 2.50000+ 1 2.50000+ 1 7.53620- 6 8.61862- 3 2.50000+ 1 2.70000+ 1 4.52151- 6 8.57006- 3 2.50000+ 1 2.90000+ 1 5.27517- 6 8.59278- 3 2.50000+ 1 3.00000+ 1 9.04316- 6 8.59882- 3 2.70000+ 1 2.70000+ 1 1.38590- 6 8.52150- 3 2.70000+ 1 2.90000+ 1 1.38590- 6 8.54422- 3 2.70000+ 1 3.00000+ 1 3.18763- 5 8.55026- 3 2.90000+ 1 3.00000+ 1 6.03161- 5 8.57298- 3 3.00000+ 1 3.00000+ 1 1.22359- 4 8.57902- 3 3.00000+ 1 4.10000+ 1 6.99157- 6 8.60301- 3 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 9.74887- 6 2.02200- 4 1.10000+ 1 1.68630- 4 4.12300- 4 1.80000+ 1 6.54488- 4 1.90603- 3 1.90000+ 1 6.92998- 4 1.95353- 3 2.90000+ 1 1.47380- 4 2.24182- 3 3.00000+ 1 1.46650- 4 2.24786- 3 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 5.77964- 2 1.52500- 5 1.00000+ 1 2.20000+ 1 8.85280- 2 2.38700- 5 1.00000+ 1 2.40000+ 1 3.35558- 2 1.91170- 4 1.00000+ 1 2.50000+ 1 4.45580- 2 1.92460- 4 1.00000+ 1 2.70000+ 1 7.85384- 3 1.43900- 4 1.00000+ 1 2.90000+ 1 6.56877- 3 1.66620- 4 1.00000+ 1 3.00000+ 1 9.46831- 3 1.72660- 4 1.00000+ 1 4.10000+ 1 5.60213- 4 1.96650- 4 1.10000+ 1 1.80000+ 1 6.25690- 2 4.09300- 5 1.10000+ 1 1.90000+ 1 7.93246- 2 8.84300- 5 1.10000+ 1 2.10000+ 1 3.30849- 2 2.25350- 4 1.10000+ 1 2.20000+ 1 4.78401- 2 2.33970- 4 1.10000+ 1 2.40000+ 1 1.07061- 1 4.01270- 4 1.10000+ 1 2.50000+ 1 1.33115- 1 4.02560- 4 1.10000+ 1 2.70000+ 1 8.74677- 3 3.54000- 4 1.10000+ 1 2.90000+ 1 7.31821- 3 3.76720- 4 1.10000+ 1 3.00000+ 1 9.15993- 3 3.82760- 4 1.10000+ 1 4.10000+ 1 6.29033- 4 4.06750- 4 1.30000+ 1 1.60000+ 1 2.40741- 2 3.07670- 4 1.30000+ 1 1.80000+ 1 5.33769- 3 3.90030- 4 1.30000+ 1 1.90000+ 1 5.02473- 3 4.37530- 4 1.30000+ 1 2.10000+ 1 7.89950- 3 5.74450- 4 1.30000+ 1 2.20000+ 1 9.88989- 3 5.83070- 4 1.30000+ 1 2.40000+ 1 5.46729- 3 7.50370- 4 1.30000+ 1 2.50000+ 1 5.08184- 3 7.51660- 4 1.30000+ 1 2.70000+ 1 2.55881- 3 7.03100- 4 1.30000+ 1 2.90000+ 1 5.27597- 4 7.25820- 4 1.30000+ 1 3.00000+ 1 4.60952- 4 7.31860- 4 1.30000+ 1 4.10000+ 1 1.78471- 4 7.55850- 4 1.40000+ 1 1.60000+ 1 3.43933- 2 3.53870- 4 1.40000+ 1 1.80000+ 1 1.06516- 3 4.36230- 4 1.40000+ 1 1.90000+ 1 1.02159- 2 4.83730- 4 1.40000+ 1 2.10000+ 1 1.08038- 2 6.20650- 4 1.40000+ 1 2.20000+ 1 1.60278- 2 6.29270- 4 1.40000+ 1 2.40000+ 1 6.24159- 3 7.96570- 4 1.40000+ 1 2.50000+ 1 9.65511- 3 7.97860- 4 1.40000+ 1 2.70000+ 1 3.63102- 3 7.49300- 4 1.40000+ 1 2.90000+ 1 1.08338- 4 7.72020- 4 1.40000+ 1 3.00000+ 1 9.34918- 4 7.78060- 4 1.40000+ 1 4.10000+ 1 2.52801- 4 8.02050- 4 1.60000+ 1 1.60000+ 1 4.03650- 3 1.36994- 3 1.60000+ 1 1.80000+ 1 6.84603- 3 1.45230- 3 1.60000+ 1 1.90000+ 1 1.19272- 2 1.49980- 3 1.60000+ 1 2.10000+ 1 1.30622- 2 1.63672- 3 1.60000+ 1 2.20000+ 1 1.86787- 2 1.64534- 3 1.60000+ 1 2.40000+ 1 5.91046- 3 1.81264- 3 1.60000+ 1 2.50000+ 1 7.40592- 3 1.81393- 3 1.60000+ 1 2.70000+ 1 1.06067- 3 1.76537- 3 1.60000+ 1 2.90000+ 1 8.56125- 4 1.78809- 3 1.60000+ 1 3.00000+ 1 1.40188- 3 1.79413- 3 1.60000+ 1 4.10000+ 1 7.61064- 5 1.81812- 3 1.80000+ 1 1.80000+ 1 3.33743- 4 1.53466- 3 1.80000+ 1 1.90000+ 1 8.77095- 4 1.58216- 3 1.80000+ 1 2.10000+ 1 4.95742- 4 1.71908- 3 1.80000+ 1 2.20000+ 1 2.73937- 4 1.72770- 3 1.80000+ 1 2.40000+ 1 7.99582- 5 1.89500- 3 1.80000+ 1 2.50000+ 1 4.20981- 4 1.89629- 3 1.80000+ 1 2.70000+ 1 7.18571- 4 1.84773- 3 1.80000+ 1 2.90000+ 1 6.60516- 5 1.87045- 3 1.80000+ 1 3.00000+ 1 8.06510- 5 1.87649- 3 1.80000+ 1 4.10000+ 1 5.00617- 5 1.90048- 3 1.90000+ 1 1.90000+ 1 1.12287- 3 1.62966- 3 1.90000+ 1 2.10000+ 1 7.80094- 4 1.76658- 3 1.90000+ 1 2.20000+ 1 1.87688- 3 1.77520- 3 1.90000+ 1 2.40000+ 1 4.51930- 4 1.94250- 3 1.90000+ 1 2.50000+ 1 8.43028- 4 1.94379- 3 1.90000+ 1 2.70000+ 1 1.25738- 3 1.89523- 3 1.90000+ 1 2.90000+ 1 9.31665- 5 1.91795- 3 1.90000+ 1 3.00000+ 1 2.23523- 4 1.92399- 3 1.90000+ 1 4.10000+ 1 8.76057- 5 1.94798- 3 2.10000+ 1 2.10000+ 1 1.49216- 4 1.90350- 3 2.10000+ 1 2.20000+ 1 7.18515- 4 1.91212- 3 2.10000+ 1 2.40000+ 1 4.12162- 4 2.07942- 3 2.10000+ 1 2.50000+ 1 3.03370- 3 2.08071- 3 2.10000+ 1 2.70000+ 1 1.34018- 3 2.03215- 3 2.10000+ 1 2.90000+ 1 4.41113- 5 2.05487- 3 2.10000+ 1 3.00000+ 1 7.30585- 5 2.06091- 3 2.10000+ 1 4.10000+ 1 9.30460- 5 2.08490- 3 2.20000+ 1 2.20000+ 1 3.99412- 4 1.92074- 3 2.20000+ 1 2.40000+ 1 2.98312- 3 2.08804- 3 2.20000+ 1 2.50000+ 1 1.69188- 3 2.08933- 3 2.20000+ 1 2.70000+ 1 1.90339- 3 2.04077- 3 2.20000+ 1 2.90000+ 1 2.60562- 5 2.06349- 3 2.20000+ 1 3.00000+ 1 1.73131- 4 2.06953- 3 2.20000+ 1 4.10000+ 1 1.31993- 4 2.09352- 3 2.40000+ 1 2.40000+ 1 3.55647- 4 2.25534- 3 2.40000+ 1 2.50000+ 1 2.64280- 3 2.25663- 3 2.40000+ 1 2.70000+ 1 5.67354- 4 2.20807- 3 2.40000+ 1 2.90000+ 1 7.30048- 6 2.23079- 3 2.40000+ 1 3.00000+ 1 3.58073- 5 2.23683- 3 2.40000+ 1 4.10000+ 1 3.92829- 5 2.26082- 3 2.50000+ 1 2.50000+ 1 8.48950- 4 2.25792- 3 2.50000+ 1 2.70000+ 1 7.10603- 4 2.20936- 3 2.50000+ 1 2.90000+ 1 4.76295- 5 2.23208- 3 2.50000+ 1 3.00000+ 1 6.70951- 5 2.23812- 3 2.50000+ 1 4.10000+ 1 4.90174- 5 2.26211- 3 2.70000+ 1 2.70000+ 1 1.20166- 4 2.16080- 3 2.70000+ 1 2.90000+ 1 1.64434- 4 2.18352- 3 2.70000+ 1 3.00000+ 1 2.69433- 4 2.18956- 3 2.70000+ 1 4.10000+ 1 1.70761- 5 2.21355- 3 2.90000+ 1 2.90000+ 1 6.83623- 6 2.20624- 3 2.90000+ 1 3.00000+ 1 1.82292- 5 2.21228- 3 2.90000+ 1 4.10000+ 1 1.36715- 5 2.23627- 3 3.00000+ 1 3.00000+ 1 3.15698- 5 2.21832- 3 3.00000+ 1 4.10000+ 1 3.05510- 5 2.24231- 3 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 6.13822- 4 5.59200- 4 1.60000+ 1 5.15744- 4 1.62147- 3 2.10000+ 1 2.63197- 3 1.88825- 3 2.70000+ 1 9.52937- 5 2.01690- 3 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 8.88010- 3 2.31500- 5 1.10000+ 1 2.20000+ 1 2.16048- 2 3.17700- 5 1.10000+ 1 2.40000+ 1 2.48387- 2 1.99070- 4 1.10000+ 1 2.50000+ 1 2.58654- 2 2.00360- 4 1.10000+ 1 2.70000+ 1 3.66949- 3 1.51800- 4 1.10000+ 1 2.90000+ 1 3.81937- 3 1.74520- 4 1.10000+ 1 3.00000+ 1 3.49244- 3 1.80560- 4 1.10000+ 1 4.10000+ 1 2.53584- 4 2.04550- 4 1.30000+ 1 1.60000+ 1 6.35995- 2 1.05470- 4 1.30000+ 1 1.80000+ 1 6.36634- 2 1.87830- 4 1.30000+ 1 1.90000+ 1 7.64825- 2 2.35330- 4 1.30000+ 1 2.10000+ 1 2.66328- 2 3.72250- 4 1.30000+ 1 2.20000+ 1 3.06322- 2 3.80870- 4 1.30000+ 1 2.40000+ 1 1.19290- 1 5.48170- 4 1.30000+ 1 2.50000+ 1 1.78798- 1 5.49460- 4 1.30000+ 1 2.70000+ 1 1.00288- 2 5.00900- 4 1.30000+ 1 2.90000+ 1 6.91003- 3 5.23620- 4 1.30000+ 1 3.00000+ 1 8.66912- 3 5.29660- 4 1.30000+ 1 4.10000+ 1 7.27607- 4 5.53650- 4 1.40000+ 1 1.60000+ 1 1.06544- 2 1.51670- 4 1.40000+ 1 1.80000+ 1 7.28347- 2 2.34030- 4 1.40000+ 1 1.90000+ 1 6.78036- 3 2.81530- 4 1.40000+ 1 2.10000+ 1 1.14198- 3 4.18450- 4 1.40000+ 1 2.20000+ 1 3.56944- 3 4.27070- 4 1.40000+ 1 2.40000+ 1 3.85286- 3 5.94370- 4 1.40000+ 1 2.50000+ 1 2.98461- 3 5.95660- 4 1.40000+ 1 2.70000+ 1 1.12036- 3 5.47100- 4 1.40000+ 1 2.90000+ 1 6.40398- 3 5.69820- 4 1.40000+ 1 3.00000+ 1 7.03412- 4 5.75860- 4 1.40000+ 1 4.10000+ 1 7.83672- 5 5.99850- 4 1.60000+ 1 1.60000+ 1 8.95972- 4 1.16774- 3 1.60000+ 1 1.80000+ 1 1.24737- 2 1.25010- 3 1.60000+ 1 1.90000+ 1 1.90866- 3 1.29760- 3 1.60000+ 1 2.10000+ 1 4.00370- 4 1.43452- 3 1.60000+ 1 2.20000+ 1 1.43783- 3 1.44314- 3 1.60000+ 1 2.40000+ 1 5.34716- 5 1.61044- 3 1.60000+ 1 2.50000+ 1 6.89261- 4 1.61173- 3 1.60000+ 1 2.70000+ 1 2.22359- 4 1.56317- 3 1.60000+ 1 2.90000+ 1 1.05704- 3 1.58589- 3 1.60000+ 1 3.00000+ 1 2.03448- 4 1.59193- 3 1.60000+ 1 4.10000+ 1 1.56500- 5 1.61592- 3 1.80000+ 1 1.80000+ 1 9.28699- 3 1.33246- 3 1.80000+ 1 1.90000+ 1 2.74365- 2 1.37996- 3 1.80000+ 1 2.10000+ 1 2.60112- 2 1.51688- 3 1.80000+ 1 2.20000+ 1 4.23416- 2 1.52550- 3 1.80000+ 1 2.40000+ 1 9.74470- 3 1.69280- 3 1.80000+ 1 2.50000+ 1 1.65855- 2 1.69409- 3 1.80000+ 1 2.70000+ 1 1.95024- 3 1.64553- 3 1.80000+ 1 2.90000+ 1 1.97491- 3 1.66825- 3 1.80000+ 1 3.00000+ 1 3.20184- 3 1.67429- 3 1.80000+ 1 4.10000+ 1 1.42177- 4 1.69828- 3 1.90000+ 1 1.90000+ 1 7.66682- 4 1.42746- 3 1.90000+ 1 2.10000+ 1 2.09178- 3 1.56438- 3 1.90000+ 1 2.20000+ 1 1.68590- 3 1.57300- 3 1.90000+ 1 2.40000+ 1 7.09954- 3 1.74030- 3 1.90000+ 1 2.50000+ 1 1.98312- 3 1.74159- 3 1.90000+ 1 2.70000+ 1 2.01650- 4 1.69303- 3 1.90000+ 1 2.90000+ 1 2.39569- 3 1.71575- 3 1.90000+ 1 3.00000+ 1 1.52547- 4 1.72179- 3 1.90000+ 1 4.10000+ 1 1.37490- 5 1.74578- 3 2.10000+ 1 2.10000+ 1 8.88746- 4 1.70130- 3 2.10000+ 1 2.20000+ 1 2.57049- 3 1.70992- 3 2.10000+ 1 2.40000+ 1 8.84754- 4 1.87722- 3 2.10000+ 1 2.50000+ 1 1.63361- 3 1.87851- 3 2.10000+ 1 2.70000+ 1 5.86282- 5 1.82995- 3 2.10000+ 1 2.90000+ 1 2.26256- 3 1.85267- 3 2.10000+ 1 3.00000+ 1 2.15861- 4 1.85871- 3 2.10000+ 1 4.10000+ 1 3.99739- 6 1.88270- 3 2.20000+ 1 2.20000+ 1 6.02953- 4 1.71854- 3 2.20000+ 1 2.40000+ 1 2.93434- 3 1.88584- 3 2.20000+ 1 2.50000+ 1 6.20915- 4 1.88713- 3 2.20000+ 1 2.70000+ 1 1.83882- 4 1.83857- 3 2.20000+ 1 2.90000+ 1 3.73576- 3 1.86129- 3 2.20000+ 1 3.00000+ 1 1.58561- 4 1.86733- 3 2.20000+ 1 4.10000+ 1 1.33246- 5 1.89132- 3 2.40000+ 1 2.40000+ 1 1.58101- 3 2.05314- 3 2.40000+ 1 2.50000+ 1 1.03559- 2 2.05443- 3 2.40000+ 1 2.70000+ 1 2.66495- 6 2.00587- 3 2.40000+ 1 2.90000+ 1 7.82835- 4 2.02859- 3 2.40000+ 1 3.00000+ 1 7.92182- 4 2.03463- 3 2.50000+ 1 2.50000+ 1 5.31647- 4 2.05572- 3 2.50000+ 1 2.70000+ 1 9.46063- 5 2.00716- 3 2.50000+ 1 2.90000+ 1 1.32780- 3 2.02988- 3 2.50000+ 1 3.00000+ 1 1.99873- 4 2.03592- 3 2.50000+ 1 4.10000+ 1 6.66257- 6 2.05991- 3 2.70000+ 1 2.70000+ 1 1.85789- 5 1.95860- 3 2.70000+ 1 2.90000+ 1 2.26483- 4 1.98132- 3 2.70000+ 1 3.00000+ 1 2.91952- 5 1.98736- 3 2.70000+ 1 4.10000+ 1 2.65414- 6 2.01135- 3 2.90000+ 1 2.90000+ 1 2.41624- 4 2.00404- 3 2.90000+ 1 3.00000+ 1 6.73114- 4 2.01008- 3 2.90000+ 1 4.10000+ 1 2.98108- 5 2.03407- 3 3.00000+ 1 3.00000+ 1 6.17168- 5 2.01612- 3 3.00000+ 1 4.10000+ 1 1.02861- 5 2.04011- 3 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.74385- 5 3.49100- 4 1.40000+ 1 2.37056- 4 3.95300- 4 1.60000+ 1 7.99226- 4 1.41137- 3 2.10000+ 1 3.79976- 4 1.67815- 3 2.20000+ 1 3.02669- 3 1.68677- 3 2.70000+ 1 1.44332- 4 1.80680- 3 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.90000+ 1 5.48092- 2 2.52300- 5 1.30000+ 1 2.10000+ 1 9.71560- 3 1.62150- 4 1.30000+ 1 2.20000+ 1 9.10825- 3 1.70770- 4 1.30000+ 1 2.40000+ 1 1.24473- 2 3.38070- 4 1.30000+ 1 2.50000+ 1 1.80203- 2 3.39360- 4 1.30000+ 1 2.70000+ 1 1.90910- 3 2.90800- 4 1.30000+ 1 2.90000+ 1 1.33813- 3 3.13520- 4 1.30000+ 1 3.00000+ 1 5.02512- 3 3.19560- 4 1.30000+ 1 4.10000+ 1 1.35486- 4 3.43550- 4 1.40000+ 1 1.80000+ 1 7.79756- 2 2.39300- 5 1.40000+ 1 1.90000+ 1 1.23935- 1 7.14300- 5 1.40000+ 1 2.10000+ 1 4.33860- 2 2.08350- 4 1.40000+ 1 2.20000+ 1 6.22695- 2 2.16970- 4 1.40000+ 1 2.40000+ 1 1.22689- 1 3.84270- 4 1.40000+ 1 2.50000+ 1 1.45800- 1 3.85560- 4 1.40000+ 1 2.70000+ 1 1.11684- 2 3.37000- 4 1.40000+ 1 2.90000+ 1 9.13888- 3 3.59720- 4 1.40000+ 1 3.00000+ 1 1.29687- 2 3.65760- 4 1.40000+ 1 4.10000+ 1 8.00743- 4 3.89750- 4 1.60000+ 1 1.60000+ 1 6.58289- 4 9.57640- 4 1.60000+ 1 1.80000+ 1 1.02969- 3 1.04000- 3 1.60000+ 1 1.90000+ 1 1.58961- 2 1.08750- 3 1.60000+ 1 2.10000+ 1 9.40679- 4 1.22442- 3 1.60000+ 1 2.20000+ 1 1.03854- 3 1.23304- 3 1.60000+ 1 2.40000+ 1 9.81162- 4 1.40034- 3 1.60000+ 1 2.50000+ 1 1.52102- 3 1.40163- 3 1.60000+ 1 2.70000+ 1 1.62547- 4 1.35307- 3 1.60000+ 1 2.90000+ 1 1.04441- 4 1.37579- 3 1.60000+ 1 3.00000+ 1 1.29816- 3 1.38183- 3 1.60000+ 1 4.10000+ 1 1.10323- 5 1.40582- 3 1.80000+ 1 1.80000+ 1 1.12512- 4 1.12236- 3 1.80000+ 1 1.90000+ 1 1.88976- 2 1.16986- 3 1.80000+ 1 2.10000+ 1 4.40484- 4 1.30678- 3 1.80000+ 1 2.20000+ 1 3.53389- 3 1.31540- 3 1.80000+ 1 2.40000+ 1 1.11922- 3 1.48270- 3 1.80000+ 1 2.50000+ 1 6.44055- 3 1.48399- 3 1.80000+ 1 2.70000+ 1 1.13244- 4 1.43543- 3 1.80000+ 1 2.90000+ 1 2.13258- 5 1.45815- 3 1.80000+ 1 3.00000+ 1 1.56267- 3 1.46419- 3 1.80000+ 1 4.10000+ 1 8.08918- 6 1.48818- 3 1.90000+ 1 1.90000+ 1 2.62615- 2 1.21736- 3 1.90000+ 1 2.10000+ 1 3.64448- 2 1.35428- 3 1.90000+ 1 2.20000+ 1 4.84044- 2 1.36290- 3 1.90000+ 1 2.40000+ 1 1.94924- 2 1.53020- 3 1.90000+ 1 2.50000+ 1 2.20514- 2 1.53149- 3 1.90000+ 1 2.70000+ 1 2.44561- 3 1.48293- 3 1.90000+ 1 2.90000+ 1 2.32272- 3 1.50565- 3 1.90000+ 1 3.00000+ 1 5.21698- 3 1.51169- 3 1.90000+ 1 4.10000+ 1 1.77994- 4 1.53568- 3 2.10000+ 1 2.10000+ 1 2.36107- 4 1.49120- 3 2.10000+ 1 2.20000+ 1 4.86180- 3 1.49982- 3 2.10000+ 1 2.40000+ 1 4.66318- 4 1.66712- 3 2.10000+ 1 2.50000+ 1 5.67881- 3 1.66841- 3 2.10000+ 1 2.70000+ 1 9.48857- 5 1.61985- 3 2.10000+ 1 2.90000+ 1 3.08929- 5 1.64257- 3 2.10000+ 1 3.00000+ 1 2.98537- 3 1.64861- 3 2.10000+ 1 4.10000+ 1 6.61992- 6 1.67260- 3 2.20000+ 1 2.20000+ 1 2.29923- 3 1.50844- 3 2.20000+ 1 2.40000+ 1 4.58691- 3 1.67574- 3 2.20000+ 1 2.50000+ 1 3.93016- 3 1.67703- 3 2.20000+ 1 2.70000+ 1 1.06650- 4 1.62847- 3 2.20000+ 1 2.90000+ 1 2.72141- 4 1.65119- 3 2.20000+ 1 3.00000+ 1 3.92635- 3 1.65723- 3 2.20000+ 1 4.10000+ 1 7.35512- 6 1.68122- 3 2.40000+ 1 2.40000+ 1 4.61905- 4 1.84304- 3 2.40000+ 1 2.50000+ 1 1.27134- 2 1.84433- 3 2.40000+ 1 2.70000+ 1 9.56185- 5 1.79577- 3 2.40000+ 1 2.90000+ 1 1.16211- 4 1.81849- 3 2.40000+ 1 3.00000+ 1 1.52401- 3 1.82453- 3 2.40000+ 1 4.10000+ 1 6.61981- 6 1.84852- 3 2.50000+ 1 2.50000+ 1 4.84168- 3 1.84562- 3 2.50000+ 1 2.70000+ 1 1.19885- 4 1.79706- 3 2.50000+ 1 2.90000+ 1 6.73707- 4 1.81978- 3 2.50000+ 1 3.00000+ 1 1.77254- 3 1.82582- 3 2.50000+ 1 4.10000+ 1 8.09054- 6 1.84981- 3 2.70000+ 1 2.70000+ 1 1.72012- 5 1.74850- 3 2.70000+ 1 2.90000+ 1 1.96585- 5 1.77122- 3 2.70000+ 1 3.00000+ 1 3.34198- 4 1.77726- 3 2.70000+ 1 4.10000+ 1 2.45730- 6 1.80125- 3 2.90000+ 1 2.90000+ 1 1.51615- 6 1.79394- 3 2.90000+ 1 3.00000+ 1 3.97232- 4 1.79998- 3 2.90000+ 1 4.10000+ 1 1.51615- 6 1.82397- 3 3.00000+ 1 3.00000+ 1 1.36870- 3 1.80602- 3 3.00000+ 1 4.10000+ 1 8.02760- 5 1.83001- 3 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.74879- 3 1.14463- 3 1.90000+ 1 3.16239- 4 1.19213- 3 2.40000+ 1 9.27847- 3 1.50497- 3 2.90000+ 1 5.68378- 4 1.48042- 3 3.00000+ 1 6.50458- 5 1.48646- 3 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 1.10680- 1 3.51700- 5 1.40000+ 1 2.50000+ 1 1.52028- 2 3.64600- 5 1.40000+ 1 2.90000+ 1 5.91638- 4 1.06200- 5 1.40000+ 1 3.00000+ 1 1.59560- 3 1.66600- 5 1.40000+ 1 4.10000+ 1 1.09158- 4 4.06500- 5 1.60000+ 1 1.60000+ 1 3.83023- 5 6.08540- 4 1.60000+ 1 1.80000+ 1 2.14301- 3 6.90900- 4 1.60000+ 1 1.90000+ 1 1.47459- 3 7.38400- 4 1.60000+ 1 2.10000+ 1 5.20153- 2 8.75320- 4 1.60000+ 1 2.20000+ 1 6.24512- 3 8.83940- 4 1.60000+ 1 2.40000+ 1 1.34918- 2 1.05124- 3 1.60000+ 1 2.50000+ 1 4.30128- 3 1.05253- 3 1.60000+ 1 2.70000+ 1 2.29815- 5 1.00397- 3 1.60000+ 1 2.90000+ 1 2.12574- 4 1.02669- 3 1.60000+ 1 3.00000+ 1 1.16824- 4 1.03273- 3 1.60000+ 1 4.10000+ 1 1.91511- 6 1.05672- 3 1.80000+ 1 1.80000+ 1 1.22176- 3 7.73260- 4 1.80000+ 1 1.90000+ 1 7.77669- 3 8.20760- 4 1.80000+ 1 2.10000+ 1 4.51079- 2 9.57680- 4 1.80000+ 1 2.20000+ 1 3.69034- 3 9.66300- 4 1.80000+ 1 2.40000+ 1 8.41296- 3 1.13360- 3 1.80000+ 1 2.50000+ 1 4.29160- 3 1.13489- 3 1.80000+ 1 2.70000+ 1 2.27887- 4 1.08633- 3 1.80000+ 1 2.90000+ 1 2.45126- 4 1.10905- 3 1.80000+ 1 3.00000+ 1 6.95165- 4 1.11509- 3 1.80000+ 1 4.10000+ 1 1.53208- 5 1.13908- 3 1.90000+ 1 1.90000+ 1 2.80936- 3 8.68260- 4 1.90000+ 1 2.10000+ 1 9.50607- 2 1.00518- 3 1.90000+ 1 2.20000+ 1 3.56394- 3 1.01380- 3 1.90000+ 1 2.40000+ 1 4.74173- 3 1.18110- 3 1.90000+ 1 2.50000+ 1 2.45906- 3 1.18239- 3 1.90000+ 1 2.70000+ 1 1.74285- 4 1.13383- 3 1.90000+ 1 2.90000+ 1 6.66431- 4 1.15655- 3 1.90000+ 1 3.00000+ 1 4.82593- 4 1.16259- 3 1.90000+ 1 4.10000+ 1 1.14901- 5 1.18658- 3 2.10000+ 1 2.10000+ 1 8.06993- 2 1.14210- 3 2.10000+ 1 2.20000+ 1 1.62857- 1 1.15072- 3 2.10000+ 1 2.40000+ 1 5.27944- 2 1.31802- 3 2.10000+ 1 2.50000+ 1 6.59178- 2 1.31931- 3 2.10000+ 1 2.70000+ 1 7.43228- 3 1.27075- 3 2.10000+ 1 2.90000+ 1 5.57291- 3 1.29347- 3 2.10000+ 1 3.00000+ 1 1.08169- 2 1.29951- 3 2.10000+ 1 4.10000+ 1 5.38139- 4 1.32350- 3 2.20000+ 1 2.20000+ 1 2.65621- 3 1.15934- 3 2.20000+ 1 2.40000+ 1 5.49767- 2 1.32664- 3 2.20000+ 1 2.50000+ 1 3.05069- 3 1.32793- 3 2.20000+ 1 2.70000+ 1 5.15149- 4 1.27937- 3 2.20000+ 1 2.90000+ 1 3.06398- 4 1.30209- 3 2.20000+ 1 3.00000+ 1 3.35133- 4 1.30813- 3 2.20000+ 1 4.10000+ 1 3.44700- 5 1.33212- 3 2.40000+ 1 2.40000+ 1 3.53867- 2 1.49394- 3 2.40000+ 1 2.50000+ 1 1.03903- 1 1.49523- 3 2.40000+ 1 2.70000+ 1 1.97247- 3 1.44667- 3 2.40000+ 1 2.90000+ 1 8.61799- 4 1.46939- 3 2.40000+ 1 3.00000+ 1 5.30479- 4 1.47543- 3 2.40000+ 1 4.10000+ 1 1.45547- 4 1.49942- 3 2.50000+ 1 2.50000+ 1 2.59496- 3 1.49652- 3 2.50000+ 1 2.70000+ 1 5.46089- 4 1.44796- 3 2.50000+ 1 2.90000+ 1 3.12050- 4 1.47068- 3 2.50000+ 1 3.00000+ 1 3.05186- 4 1.47672- 3 2.50000+ 1 4.10000+ 1 3.90064- 5 1.50071- 3 2.70000+ 1 2.70000+ 1 1.78308- 5 1.39940- 3 2.70000+ 1 2.90000+ 1 2.31801- 4 1.42212- 3 2.70000+ 1 3.00000+ 1 1.42647- 4 1.42816- 3 2.90000+ 1 2.90000+ 1 1.19631- 4 1.44484- 3 2.90000+ 1 3.00000+ 1 5.63995- 4 1.45088- 3 2.90000+ 1 4.10000+ 1 1.70911- 5 1.47487- 3 3.00000+ 1 3.00000+ 1 8.54578- 4 1.45692- 3 3.00000+ 1 4.10000+ 1 7.76886- 5 1.48091- 3 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.54729- 3 1.14593- 3 2.40000+ 1 5.29638- 4 1.45877- 3 2.50000+ 1 1.02470- 2 1.46006- 3 3.00000+ 1 6.59117- 4 1.44026- 3 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 4.27397- 6 5.62340- 4 1.60000+ 1 1.80000+ 1 5.40659- 4 6.44700- 4 1.60000+ 1 1.90000+ 1 3.76748- 3 6.92200- 4 1.60000+ 1 2.10000+ 1 5.57975- 3 8.29120- 4 1.60000+ 1 2.20000+ 1 6.20939- 2 8.37740- 4 1.60000+ 1 2.40000+ 1 4.73775- 3 1.00504- 3 1.60000+ 1 2.50000+ 1 1.58653- 2 1.00633- 3 1.60000+ 1 2.70000+ 1 1.49592- 5 9.57770- 4 1.60000+ 1 2.90000+ 1 2.77805- 5 9.80490- 4 1.60000+ 1 3.00000+ 1 3.20549- 4 9.86530- 4 1.60000+ 1 4.10000+ 1 2.13703- 6 1.01052- 3 1.80000+ 1 1.80000+ 1 8.54780- 6 7.27060- 4 1.80000+ 1 1.90000+ 1 9.30250- 3 7.74560- 4 1.80000+ 1 2.10000+ 1 5.21433- 4 9.11480- 4 1.80000+ 1 2.20000+ 1 6.26824- 2 9.20100- 4 1.80000+ 1 2.40000+ 1 2.17118- 3 1.08740- 3 1.80000+ 1 2.50000+ 1 7.84920- 3 1.08869- 3 1.80000+ 1 2.70000+ 1 5.55625- 5 1.04013- 3 1.80000+ 1 2.90000+ 1 4.27401- 6 1.06285- 3 1.80000+ 1 3.00000+ 1 7.84281- 4 1.06889- 3 1.80000+ 1 4.10000+ 1 4.27401- 6 1.09288- 3 1.90000+ 1 1.90000+ 1 6.98609- 3 8.22060- 4 1.90000+ 1 2.10000+ 1 5.87906- 3 9.58980- 4 1.90000+ 1 2.20000+ 1 9.87971- 2 9.67600- 4 1.90000+ 1 2.40000+ 1 3.06029- 3 1.13490- 3 1.90000+ 1 2.50000+ 1 6.86004- 3 1.13619- 3 1.90000+ 1 2.70000+ 1 4.50926- 4 1.08763- 3 1.90000+ 1 2.90000+ 1 7.77883- 4 1.11035- 3 1.90000+ 1 3.00000+ 1 1.21601- 3 1.11639- 3 1.90000+ 1 4.10000+ 1 3.20560- 5 1.14038- 3 2.10000+ 1 2.10000+ 1 1.25868- 3 1.09590- 3 2.10000+ 1 2.20000+ 1 1.29361- 1 1.10452- 3 2.10000+ 1 2.40000+ 1 2.82294- 3 1.27182- 3 2.10000+ 1 2.50000+ 1 3.74120- 2 1.27311- 3 2.10000+ 1 2.70000+ 1 4.44490- 4 1.22455- 3 2.10000+ 1 2.90000+ 1 6.83829- 5 1.24727- 3 2.10000+ 1 3.00000+ 1 5.02183- 4 1.25331- 3 2.10000+ 1 4.10000+ 1 2.99170- 5 1.27730- 3 2.20000+ 1 2.20000+ 1 1.46799- 1 1.11314- 3 2.20000+ 1 2.40000+ 1 6.45360- 2 1.28044- 3 2.20000+ 1 2.50000+ 1 9.77221- 2 1.28173- 3 2.20000+ 1 2.70000+ 1 8.59734- 3 1.23317- 3 2.20000+ 1 2.90000+ 1 7.46249- 3 1.25589- 3 2.20000+ 1 3.00000+ 1 1.13216- 2 1.26193- 3 2.20000+ 1 4.10000+ 1 6.19741- 4 1.28592- 3 2.40000+ 1 2.40000+ 1 3.09008- 3 1.44774- 3 2.40000+ 1 2.50000+ 1 9.97960- 2 1.44903- 3 2.40000+ 1 2.70000+ 1 5.32108- 4 1.40047- 3 2.40000+ 1 2.90000+ 1 2.39347- 4 1.42319- 3 2.40000+ 1 3.00000+ 1 2.73529- 4 1.42923- 3 2.40000+ 1 4.10000+ 1 3.84646- 5 1.45322- 3 2.50000+ 1 2.50000+ 1 6.66490- 2 1.45032- 3 2.50000+ 1 2.70000+ 1 2.24591- 3 1.40176- 3 2.50000+ 1 2.90000+ 1 9.25304- 4 1.42448- 3 2.50000+ 1 3.00000+ 1 7.13766- 4 1.43052- 3 2.50000+ 1 4.10000+ 1 1.66687- 4 1.45451- 3 2.70000+ 1 2.70000+ 1 2.90819- 5 1.35320- 3 2.70000+ 1 2.90000+ 1 2.90819- 5 1.37592- 3 2.70000+ 1 3.00000+ 1 5.52534- 4 1.38196- 3 2.90000+ 1 3.00000+ 1 5.37388- 4 1.40468- 3 3.00000+ 1 3.00000+ 1 8.10852- 4 1.41072- 3 3.00000+ 1 4.10000+ 1 3.24344- 5 1.43471- 3 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.74954- 5 8.23600- 5 1.90000+ 1 1.41776- 4 1.29860- 4 2.90000+ 1 6.93774- 5 4.18150- 4 3.00000+ 1 4.53800- 5 4.24190- 4 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 2.92929- 2 7.13300- 5 1.80000+ 1 2.50000+ 1 4.14003- 2 7.26200- 5 1.80000+ 1 2.70000+ 1 3.71107- 2 2.40600- 5 1.80000+ 1 2.90000+ 1 2.97146- 2 4.67800- 5 1.80000+ 1 3.00000+ 1 5.61720- 2 5.28200- 5 1.80000+ 1 4.10000+ 1 2.58406- 3 7.68100- 5 1.90000+ 1 2.40000+ 1 1.40873- 1 1.18830- 4 1.90000+ 1 2.50000+ 1 1.70630- 1 1.20120- 4 1.90000+ 1 2.70000+ 1 4.45742- 2 7.15600- 5 1.90000+ 1 2.90000+ 1 4.55002- 2 9.42800- 5 1.90000+ 1 3.00000+ 1 5.48789- 2 1.00320- 4 1.90000+ 1 4.10000+ 1 3.14439- 3 1.24310- 4 2.10000+ 1 2.10000+ 1 3.78905- 3 7.98300- 5 2.10000+ 1 2.20000+ 1 1.53905- 2 8.84500- 5 2.10000+ 1 2.40000+ 1 4.87838- 3 2.55750- 4 2.10000+ 1 2.50000+ 1 1.13289- 2 2.57040- 4 2.10000+ 1 2.70000+ 1 1.51538- 2 2.08480- 4 2.10000+ 1 2.90000+ 1 3.18488- 3 2.31200- 4 2.10000+ 1 3.00000+ 1 8.14123- 3 2.37240- 4 2.10000+ 1 4.10000+ 1 9.03719- 4 2.61230- 4 2.20000+ 1 2.20000+ 1 8.84259- 3 9.70700- 5 2.20000+ 1 2.40000+ 1 1.29928- 2 2.64370- 4 2.20000+ 1 2.50000+ 1 1.14448- 2 2.65660- 4 2.20000+ 1 2.70000+ 1 2.18173- 2 2.17100- 4 2.20000+ 1 2.90000+ 1 8.22213- 3 2.39820- 4 2.20000+ 1 3.00000+ 1 7.74007- 3 2.45860- 4 2.20000+ 1 4.10000+ 1 1.29695- 3 2.69850- 4 2.40000+ 1 2.40000+ 1 4.70529- 3 4.31670- 4 2.40000+ 1 2.50000+ 1 1.10462- 2 4.32960- 4 2.40000+ 1 2.70000+ 1 1.26692- 2 3.84400- 4 2.40000+ 1 2.90000+ 1 1.50227- 3 4.07120- 4 2.40000+ 1 3.00000+ 1 3.88920- 3 4.13160- 4 2.40000+ 1 4.10000+ 1 6.96609- 4 4.37150- 4 2.50000+ 1 2.50000+ 1 7.82511- 3 4.34250- 4 2.50000+ 1 2.70000+ 1 1.63015- 2 3.85690- 4 2.50000+ 1 2.90000+ 1 9.27630- 4 4.08410- 4 2.50000+ 1 3.00000+ 1 4.83638- 3 4.14450- 4 2.50000+ 1 4.10000+ 1 8.95104- 4 4.38440- 4 2.70000+ 1 2.70000+ 1 2.23274- 2 3.37130- 4 2.70000+ 1 2.90000+ 1 2.70624- 2 3.59850- 4 2.70000+ 1 3.00000+ 1 4.48254- 2 3.65890- 4 2.70000+ 1 4.10000+ 1 2.87897- 3 3.89880- 4 2.90000+ 1 2.90000+ 1 4.35919- 3 3.82570- 4 2.90000+ 1 3.00000+ 1 1.80694- 2 3.88610- 4 2.90000+ 1 4.10000+ 1 3.20103- 3 4.12600- 4 3.00000+ 1 3.00000+ 1 1.49146- 2 3.94650- 4 3.00000+ 1 4.10000+ 1 5.79090- 3 4.18640- 4 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 4.74995- 4 1.84420- 4 2.70000+ 1 1.08245- 4 3.13070- 4 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 6.37830- 2 3.64700- 5 1.90000+ 1 2.50000+ 1 4.87482- 2 3.77600- 5 1.90000+ 1 2.90000+ 1 9.80311- 3 1.19200- 5 1.90000+ 1 3.00000+ 1 9.23052- 3 1.79600- 5 1.90000+ 1 4.10000+ 1 9.75002- 4 4.19500- 5 2.10000+ 1 2.10000+ 1 2.13369- 2 0.00000+ 0 2.10000+ 1 2.20000+ 1 2.45170- 1 6.09000- 6 2.10000+ 1 2.40000+ 1 9.96608- 2 1.73390- 4 2.10000+ 1 2.50000+ 1 2.07595- 1 1.74680- 4 2.10000+ 1 2.70000+ 1 2.27056- 2 1.26120- 4 2.10000+ 1 2.90000+ 1 1.59205- 2 1.48840- 4 2.10000+ 1 3.00000+ 1 2.65647- 2 1.54880- 4 2.10000+ 1 4.10000+ 1 1.64621- 3 1.78870- 4 2.20000+ 1 2.20000+ 1 1.52411- 2 1.47100- 5 2.20000+ 1 2.40000+ 1 3.51025- 2 1.82010- 4 2.20000+ 1 2.50000+ 1 9.19197- 3 1.83300- 4 2.20000+ 1 2.70000+ 1 5.10380- 3 1.34740- 4 2.20000+ 1 2.90000+ 1 2.08962- 2 1.57460- 4 2.20000+ 1 3.00000+ 1 4.26366- 3 1.63500- 4 2.20000+ 1 4.10000+ 1 3.22605- 4 1.87490- 4 2.40000+ 1 2.40000+ 1 2.59296- 3 3.49310- 4 2.40000+ 1 2.50000+ 1 1.80255- 2 3.50600- 4 2.40000+ 1 2.70000+ 1 3.20673- 3 3.02040- 4 2.40000+ 1 2.90000+ 1 1.22703- 2 3.24760- 4 2.40000+ 1 3.00000+ 1 3.52173- 3 3.30800- 4 2.40000+ 1 4.10000+ 1 2.27660- 4 3.54790- 4 2.50000+ 1 2.50000+ 1 9.77911- 4 3.51890- 4 2.50000+ 1 2.70000+ 1 2.35502- 3 3.03330- 4 2.50000+ 1 2.90000+ 1 2.71699- 2 3.26050- 4 2.50000+ 1 3.00000+ 1 1.86030- 3 3.32090- 4 2.50000+ 1 4.10000+ 1 1.42842- 4 3.56080- 4 2.70000+ 1 2.70000+ 1 4.17213- 4 2.54770- 4 2.70000+ 1 2.90000+ 1 6.34300- 3 2.77490- 4 2.70000+ 1 3.00000+ 1 1.03070- 3 2.83530- 4 2.70000+ 1 4.10000+ 1 5.22767- 5 3.07520- 4 2.90000+ 1 2.90000+ 1 1.37940- 2 3.00210- 4 2.90000+ 1 3.00000+ 1 3.76612- 2 3.06250- 4 2.90000+ 1 4.10000+ 1 1.81078- 3 3.30240- 4 3.00000+ 1 3.00000+ 1 2.31340- 3 3.12290- 4 3.00000+ 1 4.10000+ 1 3.82496- 4 3.36280- 4 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.21114- 5 1.36920- 4 2.20000+ 1 1.33762- 4 1.45540- 4 2.70000+ 1 6.54529- 5 2.65570- 4 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.95754- 2 1.25890- 4 2.10000+ 1 2.50000+ 1 5.60568- 2 1.27180- 4 2.10000+ 1 2.70000+ 1 1.20422- 2 7.86200- 5 2.10000+ 1 2.90000+ 1 8.94074- 3 1.01340- 4 2.10000+ 1 3.00000+ 1 3.27350- 2 1.07380- 4 2.10000+ 1 4.10000+ 1 8.39693- 4 1.31370- 4 2.20000+ 1 2.40000+ 1 2.58148- 1 1.34510- 4 2.20000+ 1 2.50000+ 1 2.68802- 1 1.35800- 4 2.20000+ 1 2.70000+ 1 6.22604- 2 8.72400- 5 2.20000+ 1 2.90000+ 1 6.02182- 2 1.09960- 4 2.20000+ 1 3.00000+ 1 8.47037- 2 1.16000- 4 2.20000+ 1 4.10000+ 1 4.49573- 3 1.39990- 4 2.40000+ 1 2.40000+ 1 7.26963- 4 3.01810- 4 2.40000+ 1 2.50000+ 1 2.04980- 2 3.03100- 4 2.40000+ 1 2.70000+ 1 4.25541- 3 2.54540- 4 2.40000+ 1 2.90000+ 1 1.80819- 3 2.77260- 4 2.40000+ 1 3.00000+ 1 2.57719- 2 2.83300- 4 2.40000+ 1 4.10000+ 1 2.37391- 4 3.07290- 4 2.50000+ 1 2.50000+ 1 8.28774- 3 3.04390- 4 2.50000+ 1 2.70000+ 1 8.91926- 3 2.55830- 4 2.50000+ 1 2.90000+ 1 7.10909- 3 2.78550- 4 2.50000+ 1 3.00000+ 1 3.09624- 2 2.84590- 4 2.50000+ 1 4.10000+ 1 5.48416- 4 3.08580- 4 2.70000+ 1 2.70000+ 1 1.44240- 5 2.07270- 4 2.70000+ 1 2.90000+ 1 3.02904- 4 2.29990- 4 2.70000+ 1 3.00000+ 1 5.74966- 3 2.36030- 4 2.70000+ 1 4.10000+ 1 2.40398- 6 2.60020- 4 2.90000+ 1 2.90000+ 1 2.50573- 5 2.52710- 4 2.90000+ 1 3.00000+ 1 3.66721- 3 2.58750- 4 2.90000+ 1 4.10000+ 1 1.25290- 5 2.82740- 4 3.00000+ 1 3.00000+ 1 1.13818- 2 2.64790- 4 3.00000+ 1 4.10000+ 1 6.89144- 4 2.88780- 4 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.22563- 5 1.75920- 4 2.90000+ 1 1.39552- 5 1.51370- 4 3.00000+ 1 2.11915- 6 1.57410- 4 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 2.40000+ 1 3.80270- 2 0.00000+ 0 2.20000+ 1 2.50000+ 1 4.19682- 3 0.00000+ 0 2.20000+ 1 4.10000+ 1 1.03378- 4 3.07000- 6 2.40000+ 1 2.40000+ 1 1.70859- 1 1.64890- 4 2.40000+ 1 2.50000+ 1 5.34958- 1 1.66180- 4 2.40000+ 1 2.70000+ 1 6.01685- 2 1.17620- 4 2.40000+ 1 2.90000+ 1 4.86072- 2 1.40340- 4 2.40000+ 1 3.00000+ 1 7.29834- 2 1.46380- 4 2.40000+ 1 4.10000+ 1 4.41901- 3 1.70370- 4 2.50000+ 1 2.50000+ 1 5.58599- 3 1.67470- 4 2.50000+ 1 2.70000+ 1 5.86128- 3 1.18910- 4 2.50000+ 1 2.90000+ 1 1.48215- 2 1.41630- 4 2.50000+ 1 3.00000+ 1 4.84218- 3 1.47670- 4 2.50000+ 1 4.10000+ 1 3.64198- 4 1.71660- 4 2.70000+ 1 2.70000+ 1 2.58994- 3 7.03500- 5 2.70000+ 1 2.90000+ 1 2.54689- 3 9.30700- 5 2.70000+ 1 3.00000+ 1 2.90599- 3 9.91100- 5 2.70000+ 1 4.10000+ 1 2.13320- 4 1.23100- 4 2.90000+ 1 2.90000+ 1 4.33484- 3 1.15790- 4 2.90000+ 1 3.00000+ 1 1.28306- 2 1.21830- 4 2.90000+ 1 4.10000+ 1 5.16602- 4 1.45820- 4 3.00000+ 1 3.00000+ 1 7.57067- 3 1.27870- 4 3.00000+ 1 4.10000+ 1 6.36068- 4 1.51860- 4 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.07281- 6 1.67300- 4 2.50000+ 1 4.25403- 5 1.68590- 4 3.00000+ 1 1.41201- 5 1.48790- 4 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 1.13858- 2 1.56270- 4 2.40000+ 1 2.50000+ 1 4.30101- 1 1.57560- 4 2.40000+ 1 2.70000+ 1 8.80903- 3 1.09000- 4 2.40000+ 1 2.90000+ 1 4.82914- 3 1.31720- 4 2.40000+ 1 3.00000+ 1 1.55921- 2 1.37760- 4 2.40000+ 1 4.10000+ 1 5.85802- 4 1.61750- 4 2.50000+ 1 2.50000+ 1 3.06100- 1 1.58850- 4 2.50000+ 1 2.70000+ 1 6.54603- 2 1.10290- 4 2.50000+ 1 2.90000+ 1 6.33302- 2 1.33010- 4 2.50000+ 1 3.00000+ 1 7.68751- 2 1.39050- 4 2.50000+ 1 4.10000+ 1 4.80751- 3 1.63040- 4 2.70000+ 1 2.70000+ 1 2.69653- 3 6.17300- 5 2.70000+ 1 2.90000+ 1 1.44502- 3 8.44500- 5 2.70000+ 1 3.00000+ 1 3.63562- 3 9.04900- 5 2.70000+ 1 4.10000+ 1 2.16269- 4 1.14480- 4 2.90000+ 1 2.90000+ 1 2.67175- 4 1.07170- 4 2.90000+ 1 3.00000+ 1 2.36423- 3 1.13210- 4 2.90000+ 1 4.10000+ 1 5.51141- 5 1.37200- 4 3.00000+ 1 3.00000+ 1 1.25494- 3 1.19250- 4 3.00000+ 1 4.10000+ 1 1.30164- 4 1.43240- 4 1 69000 0 7 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.78980- 7 2.27200- 5 3.00000+ 1 7.37091- 7 2.87600- 5 1 69000 0 9 1.68934+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 4.16520- 1 1.71700- 5 3.00000+ 1 4.10000+ 1 5.75971- 1 2.32100- 5 4.10000+ 1 4.10000+ 1 7.50791- 3 4.72000- 5 1 70000 0 0 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 1 70000 0 0 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.14410- 2 3.00000+ 0 1.04540- 2 5.00000+ 0 9.99260- 3 6.00000+ 0 8.93380- 3 8.00000+ 0 2.36810- 3 1.00000+ 1 2.16070- 3 1.10000+ 1 1.93520- 3 1.30000+ 1 1.57810- 3 1.40000+ 1 1.52850- 3 1.60000+ 1 4.71000- 4 1.80000+ 1 3.86040- 4 1.90000+ 1 3.34920- 4 2.10000+ 1 1.93730- 4 2.20000+ 1 1.84440- 4 2.40000+ 1 1.10900- 5 2.50000+ 1 9.67000- 6 2.70000+ 1 5.99000- 5 2.90000+ 1 3.64400- 5 3.00000+ 1 3.00100- 5 4.10000+ 1 5.61000- 6 1 70000 0 0 1.73040+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.20530- 2 3.00000+ 0 1.90290- 2 5.00000+ 0 1.90270- 2 6.00000+ 0 1.50580- 2 8.00000+ 0 5.97030- 3 1.00000+ 1 5.87620- 3 1.10000+ 1 4.91980- 3 1.30000+ 1 4.78330- 3 1.40000+ 1 4.56590- 3 1.60000+ 1 1.87830- 3 1.80000+ 1 1.77160- 3 1.90000+ 1 1.49040- 3 2.10000+ 1 1.28840- 3 2.20000+ 1 1.22740- 3 2.40000+ 1 7.77720- 4 2.50000+ 1 7.54510- 4 2.70000+ 1 3.73620- 4 2.90000+ 1 2.92230- 4 3.00000+ 1 2.35870- 4 4.10000+ 1 3.32500- 5 1 70000 0 0 1.73040+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.03920-10 3.00000+ 0 4.36750-10 5.00000+ 0 3.62140-10 6.00000+ 0 4.01610-10 8.00000+ 0 1.13920- 9 1.00000+ 1 1.08390- 9 1.10000+ 1 1.15770- 9 1.30000+ 1 1.01600- 9 1.40000+ 1 1.03880- 9 1.60000+ 1 2.56720- 9 1.80000+ 1 2.60350- 9 1.90000+ 1 2.77340- 9 2.10000+ 1 2.89700- 9 2.20000+ 1 2.95640- 9 2.40000+ 1 3.84380- 9 2.50000+ 1 3.92720- 9 2.70000+ 1 6.30980- 9 2.90000+ 1 7.08220- 9 3.00000+ 1 7.67680- 9 4.10000+ 1 2.07210- 8 1 70000 0 0 1.73040+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.96390- 5 3.00000+ 0 6.08570- 7 5.00000+ 0 1.05080- 6 6.00000+ 0 9.47030- 7 8.00000+ 0 1.97460- 8 1.00000+ 1 2.05980- 8 1.10000+ 1 2.14010- 8 1.30000+ 1 2.20480- 8 1.40000+ 1 2.06520- 8 1.60000+ 1 5.15730-10 1.80000+ 1 1.00150- 9 1.90000+ 1 6.26110-10 2.10000+ 1 8.20400-10 2.20000+ 1 7.36210-10 2.70000+ 1 2.39980-11 2.90000+ 1 1.42640-12 3.00000+ 1 1.40460-12 1 70000 0 0 1.73040+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.62400- 6 3.00000+ 0 7.43260- 6 5.00000+ 0 3.16250- 6 6.00000+ 0 3.18510- 6 8.00000+ 0 1.86780- 5 1.00000+ 1 1.03030- 5 1.10000+ 1 1.04830- 5 1.30000+ 1 2.32460- 6 1.40000+ 1 1.32930- 6 1.60000+ 1 1.37480- 5 1.80000+ 1 1.88740- 5 1.90000+ 1 9.64820- 6 2.10000+ 1 7.25520- 6 2.20000+ 1 5.84870- 6 2.70000+ 1 5.11610- 6 2.90000+ 1 4.20510- 8 3.00000+ 1 6.10340- 9 1 70000 0 0 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.79609- 5 3.00000+ 0 1.00806- 4 5.00000+ 0 8.15830- 5 6.00000+ 0 7.72431- 5 8.00000+ 0 7.37354- 5 1.00000+ 1 6.22416- 5 1.10000+ 1 5.70870- 5 1.30000+ 1 4.18610- 5 1.40000+ 1 3.94876- 5 1.60000+ 1 4.08546- 5 1.80000+ 1 3.68196- 5 1.90000+ 1 3.18335- 5 2.10000+ 1 2.27302- 5 2.20000+ 1 2.14125- 5 2.40000+ 1 1.10900- 5 2.50000+ 1 9.67000- 6 2.70000+ 1 1.91207- 5 2.90000+ 1 1.68158- 5 3.00000+ 1 1.12200- 5 4.10000+ 1 5.61000- 6 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.17275+ 0 3.00000+ 0 2.63718- 1 5.00000+ 0 2.99272- 1 6.00000+ 0 2.44812- 1 8.00000+ 0 1.69083- 2 1.00000+ 1 1.71024- 2 1.10000+ 1 1.62708- 2 1.30000+ 1 1.63655- 2 1.40000+ 1 1.55175- 2 1.60000+ 1 5.80046- 4 1.80000+ 1 7.34590- 4 1.90000+ 1 2.89295- 4 2.10000+ 1 7.19897- 5 2.20000+ 1 6.93113- 5 2.70000+ 1 1.18680- 6 2.90000+ 1 2.21450- 9 3.00000+ 1 4.68890-10 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.25310- 2 3.00000+ 0 1.93078- 3 5.00000+ 0 2.37085- 3 6.00000+ 0 1.70181- 3 8.00000+ 0 2.57416- 5 1.00000+ 1 2.57400- 5 1.10000+ 1 2.42365- 5 1.30000+ 1 2.40837- 5 1.40000+ 1 2.25083- 5 1.60000+ 1 1.33037- 7 1.80000+ 1 1.55198- 7 1.90000+ 1 5.37025- 8 2.10000+ 1 1.26765- 8 2.20000+ 1 1.17918- 8 2.70000+ 1 3.40058-11 2.90000+ 1 6.52657-14 3.00000+ 1 1.14409-14 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.97018+ 0 3.00000+ 0 1.09849+ 1 5.00000+ 0 8.34152+ 0 6.00000+ 0 7.86090+ 0 8.00000+ 0 7.57195+ 0 1.00000+ 1 6.17113+ 0 1.10000+ 1 5.59518+ 0 1.30000+ 1 3.68704+ 0 1.40000+ 1 3.51326+ 0 1.60000+ 1 4.33223+ 0 1.80000+ 1 3.35824+ 0 1.90000+ 1 2.82419+ 0 2.10000+ 1 1.49393+ 0 2.20000+ 1 1.42814+ 0 2.70000+ 1 2.40833+ 0 2.90000+ 1 1.99748+ 0 3.00000+ 1 1.00000+ 0 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.83201- 3 3.00000+ 0 8.42242- 3 5.00000+ 0 7.54017- 3 6.00000+ 0 7.15475- 3 8.00000+ 0 2.26862- 3 1.00000+ 1 2.07272- 3 1.10000+ 1 1.85388- 3 1.30000+ 1 1.51216- 3 1.40000+ 1 1.46650- 3 1.60000+ 1 4.30012- 4 1.80000+ 1 3.49065- 4 1.90000+ 1 3.03033- 4 2.10000+ 1 1.70987- 4 2.20000+ 1 1.63016- 4 2.70000+ 1 4.07792- 5 2.90000+ 1 1.96242- 5 3.00000+ 1 1.87900- 5 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.73490- 1 5.14484- 2 6.00000+ 0 4.81949- 1 5.25072- 2 1.00000+ 1 5.07949- 2 5.92803- 2 1.10000+ 1 9.81499- 2 5.95058- 2 1.30000+ 1 9.64309- 4 5.98629- 2 1.40000+ 1 1.23870- 3 5.99125- 2 1.80000+ 1 1.12980- 2 6.10550- 2 1.90000+ 1 2.18530- 2 6.11061- 2 2.10000+ 1 2.22100- 4 6.12473- 2 2.20000+ 1 2.83760- 4 6.12566- 2 2.90000+ 1 2.54000- 3 6.14046- 2 3.00000+ 1 5.26539- 3 6.14110- 2 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.96727- 3 4.05330- 2 3.00000+ 0 5.00000+ 0 6.85426- 3 4.09944- 2 3.00000+ 0 6.00000+ 0 5.41677- 3 4.20532- 2 3.00000+ 0 8.00000+ 0 1.93319- 3 4.86189- 2 3.00000+ 0 1.00000+ 1 1.43929- 3 4.88263- 2 3.00000+ 0 1.10000+ 1 1.19199- 3 4.90518- 2 3.00000+ 0 1.30000+ 1 9.29644- 5 4.94089- 2 3.00000+ 0 1.40000+ 1 8.22575- 5 4.94585- 2 3.00000+ 0 1.60000+ 1 4.59078- 4 5.05160- 2 3.00000+ 0 1.80000+ 1 3.29998- 4 5.06010- 2 3.00000+ 0 1.90000+ 1 2.70358- 4 5.06521- 2 3.00000+ 0 2.10000+ 1 2.12388- 5 5.07933- 2 3.00000+ 0 2.20000+ 1 1.85399- 5 5.08026- 2 3.00000+ 0 2.50000+ 1 8.70465- 8 5.09773- 2 3.00000+ 0 2.70000+ 1 7.23346- 5 5.09271- 2 3.00000+ 0 2.90000+ 1 4.13458- 5 5.09506- 2 3.00000+ 0 3.00000+ 1 3.17708- 5 5.09570- 2 3.00000+ 0 4.10000+ 1 5.22247- 6 5.09814- 2 5.00000+ 0 5.00000+ 0 5.42036- 4 4.14558- 2 5.00000+ 0 6.00000+ 0 1.04357- 2 4.25146- 2 5.00000+ 0 8.00000+ 0 1.13207- 3 4.90803- 2 5.00000+ 0 1.00000+ 1 2.00374- 4 4.92877- 2 5.00000+ 0 1.10000+ 1 1.90735- 3 4.95132- 2 5.00000+ 0 1.30000+ 1 1.00627- 4 4.98703- 2 5.00000+ 0 1.40000+ 1 2.98292- 4 4.99199- 2 5.00000+ 0 1.60000+ 1 2.59123- 4 5.09774- 2 5.00000+ 0 1.80000+ 1 4.47388- 5 5.10624- 2 5.00000+ 0 1.90000+ 1 4.15879- 4 5.11135- 2 5.00000+ 0 2.10000+ 1 2.23704- 5 5.12547- 2 5.00000+ 0 2.20000+ 1 6.60632- 5 5.12640- 2 5.00000+ 0 2.40000+ 1 3.48160- 7 5.14373- 2 5.00000+ 0 2.50000+ 1 6.09254- 7 5.14387- 2 5.00000+ 0 2.70000+ 1 4.04750- 5 5.13885- 2 5.00000+ 0 2.90000+ 1 5.57095- 6 5.14120- 2 5.00000+ 0 3.00000+ 1 4.84807- 5 5.14184- 2 5.00000+ 0 4.10000+ 1 2.87242- 6 5.14428- 2 6.00000+ 0 6.00000+ 0 4.79025- 3 4.35734- 2 6.00000+ 0 8.00000+ 0 8.37872- 4 5.01391- 2 6.00000+ 0 1.00000+ 1 1.79854- 3 5.03465- 2 6.00000+ 0 1.10000+ 1 1.80664- 3 5.05720- 2 6.00000+ 0 1.30000+ 1 3.42168- 4 5.09291- 2 6.00000+ 0 1.40000+ 1 2.98120- 4 5.09787- 2 6.00000+ 0 1.60000+ 1 1.88964- 4 5.20362- 2 6.00000+ 0 1.80000+ 1 3.95947- 4 5.21212- 2 6.00000+ 0 1.90000+ 1 3.97097- 4 5.21723- 2 6.00000+ 0 2.10000+ 1 7.65095- 5 5.23135- 2 6.00000+ 0 2.20000+ 1 6.62388- 5 5.23228- 2 6.00000+ 0 2.40000+ 1 6.96367- 7 5.24961- 2 6.00000+ 0 2.50000+ 1 7.83384- 7 5.24975- 2 6.00000+ 0 2.70000+ 1 2.94200- 5 5.24473- 2 6.00000+ 0 2.90000+ 1 4.92644- 5 5.24708- 2 6.00000+ 0 3.00000+ 1 4.63915- 5 5.24772- 2 6.00000+ 0 4.10000+ 1 2.08903- 6 5.25016- 2 8.00000+ 0 8.00000+ 0 1.85136- 4 5.67048- 2 8.00000+ 0 1.00000+ 1 2.39104- 4 5.69122- 2 8.00000+ 0 1.10000+ 1 1.86186- 4 5.71377- 2 8.00000+ 0 1.30000+ 1 1.40137- 5 5.74948- 2 8.00000+ 0 1.40000+ 1 1.17507- 5 5.75444- 2 8.00000+ 0 1.60000+ 1 8.76530- 5 5.86019- 2 8.00000+ 0 1.80000+ 1 5.49258- 5 5.86869- 2 8.00000+ 0 1.90000+ 1 4.23011- 5 5.87380- 2 8.00000+ 0 2.10000+ 1 3.22052- 6 5.88792- 2 8.00000+ 0 2.20000+ 1 2.61124- 6 5.88885- 2 8.00000+ 0 2.70000+ 1 1.37527- 5 5.90130- 2 8.00000+ 0 2.90000+ 1 6.87595- 6 5.90365- 2 8.00000+ 0 3.00000+ 1 4.96139- 6 5.90429- 2 8.00000+ 0 4.10000+ 1 9.57468- 7 5.90673- 2 1.00000+ 1 1.00000+ 1 1.80177- 5 5.71196- 2 1.00000+ 1 1.10000+ 1 3.36524- 4 5.73451- 2 1.00000+ 1 1.30000+ 1 1.43627- 5 5.77022- 2 1.00000+ 1 1.40000+ 1 3.93424- 5 5.77518- 2 1.00000+ 1 1.60000+ 1 5.47491- 5 5.88093- 2 1.00000+ 1 1.80000+ 1 8.00796- 6 5.88943- 2 1.00000+ 1 1.90000+ 1 7.37257- 5 5.89454- 2 1.00000+ 1 2.10000+ 1 3.22054- 6 5.90866- 2 1.00000+ 1 2.20000+ 1 8.79134- 6 5.90959- 2 1.00000+ 1 2.40000+ 1 8.70455- 8 5.92692- 2 1.00000+ 1 2.50000+ 1 8.70455- 8 5.92706- 2 1.00000+ 1 2.70000+ 1 8.53005- 6 5.92204- 2 1.00000+ 1 2.90000+ 1 9.57473- 7 5.92439- 2 1.00000+ 1 3.00000+ 1 8.61735- 6 5.92503- 2 1.00000+ 1 4.10000+ 1 6.09260- 7 5.92747- 2 1.10000+ 1 1.10000+ 1 1.71647- 4 5.75706- 2 1.10000+ 1 1.30000+ 1 5.13541- 5 5.79277- 2 1.10000+ 1 1.40000+ 1 4.34343- 5 5.79773- 2 1.10000+ 1 1.60000+ 1 4.20423- 5 5.90348- 2 1.10000+ 1 1.80000+ 1 7.44227- 5 5.91198- 2 1.10000+ 1 1.90000+ 1 7.55547- 5 5.91709- 2 1.10000+ 1 2.10000+ 1 1.15768- 5 5.93121- 2 1.10000+ 1 2.20000+ 1 9.66203- 6 5.93214- 2 1.10000+ 1 2.40000+ 1 8.70454- 8 5.94947- 2 1.10000+ 1 2.50000+ 1 8.70454- 8 5.94961- 2 1.10000+ 1 2.70000+ 1 6.52849- 6 5.94459- 2 1.10000+ 1 2.90000+ 1 9.22663- 6 5.94694- 2 1.10000+ 1 3.00000+ 1 8.79134- 6 5.94758- 2 1.10000+ 1 4.10000+ 1 4.35203- 7 5.95002- 2 1.30000+ 1 1.30000+ 1 8.92848- 8 5.82848- 2 1.30000+ 1 1.40000+ 1 6.33939- 6 5.83344- 2 1.30000+ 1 1.60000+ 1 3.21416- 6 5.93919- 2 1.30000+ 1 1.80000+ 1 3.12492- 6 5.94769- 2 1.30000+ 1 1.90000+ 1 1.09812- 5 5.95280- 2 1.30000+ 1 2.20000+ 1 1.33927- 6 5.96785- 2 1.30000+ 1 2.70000+ 1 5.35677- 7 5.98030- 2 1.30000+ 1 2.90000+ 1 3.57120- 7 5.98265- 2 1.30000+ 1 3.00000+ 1 1.24993- 6 5.98329- 2 1.40000+ 1 1.40000+ 1 1.47962- 6 5.83840- 2 1.40000+ 1 1.60000+ 1 2.61116- 6 5.94415- 2 1.40000+ 1 1.80000+ 1 8.18169- 6 5.95265- 2 1.40000+ 1 1.90000+ 1 9.05234- 6 5.95776- 2 1.40000+ 1 2.10000+ 1 1.30563- 6 5.97188- 2 1.40000+ 1 2.20000+ 1 6.09239- 7 5.97281- 2 1.40000+ 1 2.70000+ 1 4.35188- 7 5.98526- 2 1.40000+ 1 2.90000+ 1 1.04455- 6 5.98761- 2 1.40000+ 1 3.00000+ 1 1.04455- 6 5.98825- 2 1.60000+ 1 1.60000+ 1 1.06191- 5 6.04990- 2 1.60000+ 1 1.80000+ 1 1.29401- 5 6.05840- 2 1.60000+ 1 1.90000+ 1 9.81625- 6 6.06351- 2 1.60000+ 1 2.10000+ 1 7.13944- 7 6.07763- 2 1.60000+ 1 2.20000+ 1 6.24628- 7 6.07856- 2 1.60000+ 1 2.70000+ 1 3.30178- 6 6.09101- 2 1.60000+ 1 2.90000+ 1 1.60629- 6 6.09336- 2 1.60000+ 1 3.00000+ 1 1.16012- 6 6.09400- 2 1.60000+ 1 4.10000+ 1 2.67712- 7 6.09644- 2 1.80000+ 1 1.80000+ 1 8.70471- 7 6.06689- 2 1.80000+ 1 1.90000+ 1 1.62770- 5 6.07200- 2 1.80000+ 1 2.10000+ 1 6.96391- 7 6.08612- 2 1.80000+ 1 2.20000+ 1 1.82790- 6 6.08705- 2 1.80000+ 1 2.70000+ 1 2.00200- 6 6.09951- 2 1.80000+ 1 2.90000+ 1 2.61130- 7 6.10185- 2 1.80000+ 1 3.00000+ 1 1.91500- 6 6.10249- 2 1.80000+ 1 4.10000+ 1 1.74090- 7 6.10493- 2 1.90000+ 1 1.90000+ 1 8.27476- 6 6.07712- 2 1.90000+ 1 2.10000+ 1 2.41344- 6 6.09123- 2 1.90000+ 1 2.20000+ 1 1.98249- 6 6.09216- 2 1.90000+ 1 2.70000+ 1 1.46528- 6 6.10462- 2 1.90000+ 1 2.90000+ 1 1.98249- 6 6.10696- 2 1.90000+ 1 3.00000+ 1 1.89633- 6 6.10761- 2 1.90000+ 1 4.10000+ 1 8.61986- 8 6.11005- 2 2.10000+ 1 2.20000+ 1 2.87269- 7 6.10628- 2 2.10000+ 1 2.70000+ 1 9.57605- 8 6.11874- 2 2.10000+ 1 2.90000+ 1 9.57605- 8 6.12108- 2 2.10000+ 1 3.00000+ 1 2.87269- 7 6.12173- 2 2.20000+ 1 2.20000+ 1 9.27479- 8 6.10721- 2 2.20000+ 1 2.70000+ 1 9.27479- 8 6.11967- 2 2.20000+ 1 2.90000+ 1 2.78232- 7 6.12201- 2 2.20000+ 1 3.00000+ 1 2.78232- 7 6.12265- 2 2.70000+ 1 2.70000+ 1 3.77248- 7 6.13212- 2 2.70000+ 1 2.90000+ 1 3.77248- 7 6.13447- 2 2.70000+ 1 3.00000+ 1 2.51503- 7 6.13511- 2 2.90000+ 1 3.00000+ 1 2.87670- 7 6.13745- 2 3.00000+ 1 3.00000+ 1 9.41869- 8 6.13810- 2 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.35390- 5 4.61400- 4 6.00000+ 0 1.12080- 3 1.52020- 3 1.00000+ 1 2.27581- 2 8.29330- 3 1.10000+ 1 3.01641- 2 8.51880- 3 1.30000+ 1 5.87041- 4 8.87590- 3 1.40000+ 1 8.79192- 4 8.92550- 3 1.80000+ 1 5.46421- 3 1.00680- 2 1.90000+ 1 7.59292- 3 1.01191- 2 2.10000+ 1 8.00712- 5 1.02603- 2 2.20000+ 1 1.24190- 4 1.02696- 2 2.90000+ 1 7.13232- 4 1.04176- 2 3.00000+ 1 9.46222- 4 1.04240- 2 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.60000+ 1 3.06561- 2 0.00000+ 0 5.00000+ 0 1.80000+ 1 2.40439- 2 7.53600- 5 5.00000+ 0 1.90000+ 1 2.60610- 2 1.26480- 4 5.00000+ 0 2.10000+ 1 6.98822- 3 2.67670- 4 5.00000+ 0 2.20000+ 1 1.01426- 2 2.76960- 4 5.00000+ 0 2.40000+ 1 1.75361- 2 4.50310- 4 5.00000+ 0 2.50000+ 1 2.27678- 2 4.51730- 4 5.00000+ 0 2.70000+ 1 4.72491- 3 4.01500- 4 5.00000+ 0 2.90000+ 1 2.85677- 3 4.24960- 4 5.00000+ 0 3.00000+ 1 2.92515- 3 4.31390- 4 5.00000+ 0 4.10000+ 1 3.37873- 4 4.55790- 4 6.00000+ 0 1.40000+ 1 3.31581- 1 0.00000+ 0 6.00000+ 0 1.60000+ 1 3.20561- 2 1.04920- 3 6.00000+ 0 1.80000+ 1 1.32502- 2 1.13416- 3 6.00000+ 0 1.90000+ 1 2.19572- 2 1.18528- 3 6.00000+ 0 2.10000+ 1 4.07842- 2 1.32647- 3 6.00000+ 0 2.20000+ 1 5.00071- 2 1.33576- 3 6.00000+ 0 2.40000+ 1 2.52586- 2 1.50911- 3 6.00000+ 0 2.50000+ 1 3.14838- 2 1.51053- 3 6.00000+ 0 2.70000+ 1 4.84677- 3 1.46030- 3 6.00000+ 0 2.90000+ 1 1.61672- 3 1.48376- 3 6.00000+ 0 3.00000+ 1 2.54214- 3 1.49019- 3 6.00000+ 0 4.10000+ 1 3.47077- 4 1.51459- 3 8.00000+ 0 8.00000+ 0 7.35089- 3 5.71780- 3 8.00000+ 0 1.00000+ 1 1.48828- 2 5.92520- 3 8.00000+ 0 1.10000+ 1 2.55613- 2 6.15070- 3 8.00000+ 0 1.30000+ 1 1.97518- 2 6.50780- 3 8.00000+ 0 1.40000+ 1 2.66272- 2 6.55740- 3 8.00000+ 0 1.60000+ 1 2.96359- 3 7.61490- 3 8.00000+ 0 1.80000+ 1 3.34974- 3 7.69986- 3 8.00000+ 0 1.90000+ 1 5.64972- 3 7.75098- 3 8.00000+ 0 2.10000+ 1 3.76866- 3 7.89217- 3 8.00000+ 0 2.20000+ 1 5.02535- 3 7.90146- 3 8.00000+ 0 2.40000+ 1 1.97699- 4 8.07481- 3 8.00000+ 0 2.50000+ 1 2.25263- 4 8.07623- 3 8.00000+ 0 2.70000+ 1 4.55634- 4 8.02600- 3 8.00000+ 0 2.90000+ 1 4.17874- 4 8.04946- 3 8.00000+ 0 3.00000+ 1 6.60152- 4 8.05589- 3 8.00000+ 0 4.10000+ 1 3.26667- 5 8.08029- 3 1.00000+ 1 1.00000+ 1 4.72969- 5 6.13260- 3 1.00000+ 1 1.10000+ 1 3.82794- 4 6.35810- 3 1.00000+ 1 1.30000+ 1 8.14243- 4 6.71520- 3 1.00000+ 1 1.40000+ 1 7.98488- 3 6.76480- 3 1.00000+ 1 1.60000+ 1 2.36932- 3 7.82230- 3 1.00000+ 1 1.80000+ 1 8.16627- 6 7.90726- 3 1.00000+ 1 1.90000+ 1 7.68985- 5 7.95838- 3 1.00000+ 1 2.10000+ 1 1.46656- 4 8.09957- 3 1.00000+ 1 2.20000+ 1 9.69024- 4 8.10886- 3 1.00000+ 1 2.40000+ 1 6.97533- 5 8.28221- 3 1.00000+ 1 2.50000+ 1 2.42613- 4 8.28363- 3 1.00000+ 1 2.70000+ 1 3.45368- 4 8.23340- 3 1.00000+ 1 2.90000+ 1 6.80519- 7 8.25686- 3 1.00000+ 1 3.00000+ 1 8.84680- 6 8.26329- 3 1.00000+ 1 4.10000+ 1 2.44987- 5 8.28769- 3 1.10000+ 1 1.10000+ 1 6.62209- 4 6.58360- 3 1.10000+ 1 1.30000+ 1 3.70711- 3 6.94070- 3 1.10000+ 1 1.40000+ 1 2.36371- 3 6.99030- 3 1.10000+ 1 1.60000+ 1 4.04620- 3 8.04780- 3 1.10000+ 1 1.80000+ 1 8.16703- 5 8.13276- 3 1.10000+ 1 1.90000+ 1 2.16761- 4 8.18388- 3 1.10000+ 1 2.10000+ 1 3.29069- 4 8.32507- 3 1.10000+ 1 2.20000+ 1 2.05537- 4 8.33436- 3 1.10000+ 1 2.40000+ 1 1.65735- 4 8.50771- 3 1.10000+ 1 2.50000+ 1 1.34421- 4 8.50913- 3 1.10000+ 1 2.70000+ 1 5.89383- 4 8.45890- 3 1.10000+ 1 2.90000+ 1 1.02090- 5 8.48236- 3 1.10000+ 1 3.00000+ 1 2.41621- 5 8.48879- 3 1.10000+ 1 4.10000+ 1 4.18558- 5 8.51319- 3 1.30000+ 1 1.30000+ 1 1.16643- 3 7.29780- 3 1.30000+ 1 1.40000+ 1 3.74547- 2 7.34740- 3 1.30000+ 1 1.60000+ 1 2.90634- 3 8.40490- 3 1.30000+ 1 1.80000+ 1 2.28661- 4 8.48986- 3 1.30000+ 1 1.90000+ 1 8.84017- 4 8.54098- 3 1.30000+ 1 2.10000+ 1 4.36227- 4 8.68217- 3 1.30000+ 1 2.20000+ 1 4.99254- 3 8.69146- 3 1.30000+ 1 2.40000+ 1 2.26278- 4 8.86481- 3 1.30000+ 1 2.50000+ 1 6.26104- 4 8.86623- 3 1.30000+ 1 2.70000+ 1 4.18197- 4 8.81600- 3 1.30000+ 1 2.90000+ 1 2.96034- 5 8.83946- 3 1.30000+ 1 3.00000+ 1 1.04456- 4 8.84589- 3 1.30000+ 1 4.10000+ 1 2.96034- 5 8.87029- 3 1.40000+ 1 1.40000+ 1 1.04781- 2 7.39700- 3 1.40000+ 1 1.60000+ 1 3.96125- 3 8.45450- 3 1.40000+ 1 1.80000+ 1 1.60981- 3 8.53946- 3 1.40000+ 1 1.90000+ 1 5.90723- 4 8.59058- 3 1.40000+ 1 2.10000+ 1 4.90125- 3 8.73177- 3 1.40000+ 1 2.20000+ 1 2.94371- 3 8.74106- 3 1.40000+ 1 2.40000+ 1 7.04032- 4 8.91441- 3 1.40000+ 1 2.50000+ 1 5.33556- 4 8.91583- 3 1.40000+ 1 2.70000+ 1 5.72009- 4 8.86560- 3 1.40000+ 1 2.90000+ 1 1.97353- 4 8.88906- 3 1.40000+ 1 3.00000+ 1 7.04374- 5 8.89549- 3 1.40000+ 1 4.10000+ 1 4.08332- 5 8.91989- 3 1.60000+ 1 1.60000+ 1 2.82090- 4 9.51200- 3 1.60000+ 1 1.80000+ 1 5.34564- 4 9.59696- 3 1.60000+ 1 1.90000+ 1 8.96615- 4 9.64808- 3 1.60000+ 1 2.10000+ 1 5.53961- 4 9.78927- 3 1.60000+ 1 2.20000+ 1 7.43841- 4 9.79856- 3 1.60000+ 1 2.40000+ 1 2.38186- 5 9.97191- 3 1.60000+ 1 2.50000+ 1 2.65407- 5 9.97333- 3 1.60000+ 1 2.70000+ 1 8.57489- 5 9.92310- 3 1.60000+ 1 2.90000+ 1 6.66936- 5 9.94656- 3 1.60000+ 1 3.00000+ 1 1.04809- 4 9.95299- 3 1.60000+ 1 4.10000+ 1 6.12485- 6 9.97739- 3 1.80000+ 1 1.80000+ 1 3.40267- 7 9.68192- 3 1.80000+ 1 1.90000+ 1 1.66730- 5 9.73304- 3 1.80000+ 1 2.10000+ 1 3.53883- 5 9.87423- 3 1.80000+ 1 2.20000+ 1 2.02456- 4 9.88352- 3 1.80000+ 1 2.40000+ 1 9.52775- 6 1.00569- 2 1.80000+ 1 2.50000+ 1 3.64078- 5 1.00583- 2 1.80000+ 1 2.70000+ 1 7.79218- 5 1.00081- 2 1.80000+ 1 3.00000+ 1 2.04156- 6 1.00379- 2 1.80000+ 1 4.10000+ 1 5.44433- 6 1.00623- 2 1.90000+ 1 1.90000+ 1 1.73528- 5 9.78416- 3 1.90000+ 1 2.10000+ 1 8.74499- 5 9.92535- 3 1.90000+ 1 2.20000+ 1 5.81852- 5 9.93464- 3 1.90000+ 1 2.40000+ 1 2.92626- 5 1.01080- 2 1.90000+ 1 2.50000+ 1 2.34777- 5 1.01094- 2 1.90000+ 1 2.70000+ 1 1.30661- 4 1.00592- 2 1.90000+ 1 2.90000+ 1 2.04157- 6 1.00826- 2 1.90000+ 1 3.00000+ 1 3.74297- 6 1.00891- 2 1.90000+ 1 4.10000+ 1 9.18733- 6 1.01135- 2 2.10000+ 1 2.10000+ 1 3.81106- 5 1.00665- 2 2.10000+ 1 2.20000+ 1 7.10827- 4 1.00758- 2 2.10000+ 1 2.40000+ 1 2.92627- 5 1.02492- 2 2.10000+ 1 2.50000+ 1 6.26109- 5 1.02506- 2 2.10000+ 1 2.70000+ 1 7.96240- 5 1.02004- 2 2.10000+ 1 2.90000+ 1 4.42354- 6 1.02238- 2 2.10000+ 1 3.00000+ 1 1.05483- 5 1.02303- 2 2.10000+ 1 4.10000+ 1 5.78465- 6 1.02547- 2 2.20000+ 1 2.20000+ 1 2.20841- 4 1.00851- 2 2.20000+ 1 2.40000+ 1 7.31585- 5 1.02585- 2 2.20000+ 1 2.50000+ 1 6.19283- 5 1.02599- 2 2.20000+ 1 2.70000+ 1 1.07182- 4 1.02097- 2 2.20000+ 1 2.90000+ 1 2.48394- 5 1.02331- 2 2.20000+ 1 3.00000+ 1 7.14571- 6 1.02395- 2 2.20000+ 1 4.10000+ 1 7.48609- 6 1.02639- 2 2.40000+ 1 2.40000+ 1 5.55960- 7 1.04318- 2 2.40000+ 1 2.50000+ 1 1.50110- 5 1.04332- 2 2.40000+ 1 2.70000+ 1 5.55960- 6 1.03830- 2 2.40000+ 1 2.90000+ 1 1.66792- 6 1.04065- 2 2.40000+ 1 3.00000+ 1 5.55960- 6 1.04129- 2 2.40000+ 1 4.10000+ 1 5.55960- 7 1.04373- 2 2.50000+ 1 2.50000+ 1 2.89069- 6 1.04347- 2 2.50000+ 1 2.70000+ 1 5.29973- 6 1.03844- 2 2.50000+ 1 2.90000+ 1 5.78152- 6 1.04079- 2 2.50000+ 1 3.00000+ 1 3.85431- 6 1.04143- 2 2.50000+ 1 4.10000+ 1 4.81792- 7 1.04387- 2 2.70000+ 1 2.70000+ 1 2.27501- 5 1.03342- 2 2.70000+ 1 2.90000+ 1 3.47245- 5 1.03577- 2 2.70000+ 1 3.00000+ 1 5.38834- 5 1.03641- 2 2.70000+ 1 4.10000+ 1 3.59222- 6 1.03885- 2 2.90000+ 1 3.00000+ 1 2.41734- 6 1.03875- 2 2.90000+ 1 4.10000+ 1 4.83468- 6 1.04119- 2 3.00000+ 1 3.00000+ 1 9.46786- 7 1.03940- 2 3.00000+ 1 4.10000+ 1 2.84042- 6 1.04184- 2 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.63841- 6 1.05880- 3 8.00000+ 0 6.00413- 3 7.62450- 3 1.10000+ 1 1.58611- 4 8.05740- 3 1.30000+ 1 1.99491- 1 8.41450- 3 1.60000+ 1 1.34571- 3 9.52160- 3 1.90000+ 1 3.91242- 5 9.65768- 3 2.10000+ 1 3.55452- 2 9.79887- 3 2.40000+ 1 6.63133- 5 9.98151- 3 2.70000+ 1 2.47591- 4 9.93270- 3 3.00000+ 1 8.59464- 6 9.96259- 3 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 7.52255- 3 5.87800- 4 6.00000+ 0 1.80000+ 1 4.46014- 2 6.72760- 4 6.00000+ 0 1.90000+ 1 1.39050- 2 7.23880- 4 6.00000+ 0 2.10000+ 1 5.16528- 2 8.65070- 4 6.00000+ 0 2.20000+ 1 1.82603- 2 8.74360- 4 6.00000+ 0 2.40000+ 1 1.31136- 3 1.04771- 3 6.00000+ 0 2.50000+ 1 1.97676- 3 1.04913- 3 6.00000+ 0 2.70000+ 1 1.08674- 3 9.98900- 4 6.00000+ 0 2.90000+ 1 5.22203- 3 1.02236- 3 6.00000+ 0 3.00000+ 1 1.60433- 3 1.02879- 3 6.00000+ 0 4.10000+ 1 7.74839- 5 1.05319- 3 8.00000+ 0 8.00000+ 0 7.72256- 4 5.25640- 3 8.00000+ 0 1.00000+ 1 2.27888- 2 5.46380- 3 8.00000+ 0 1.10000+ 1 2.20206- 3 5.68930- 3 8.00000+ 0 1.30000+ 1 2.66038- 3 6.04640- 3 8.00000+ 0 1.40000+ 1 2.58759- 3 6.09600- 3 8.00000+ 0 1.60000+ 1 2.84538- 4 7.15350- 3 8.00000+ 0 1.80000+ 1 3.41702- 3 7.23846- 3 8.00000+ 0 1.90000+ 1 4.32982- 4 7.28958- 3 8.00000+ 0 2.10000+ 1 3.61361- 4 7.43077- 3 8.00000+ 0 2.20000+ 1 2.98864- 4 7.44006- 3 8.00000+ 0 2.40000+ 1 7.42262- 5 7.61341- 3 8.00000+ 0 2.50000+ 1 4.81818- 5 7.61483- 3 8.00000+ 0 2.70000+ 1 4.29726- 5 7.56460- 3 8.00000+ 0 2.90000+ 1 3.97191- 4 7.58806- 3 8.00000+ 0 3.00000+ 1 4.94834- 5 7.59449- 3 8.00000+ 0 4.10000+ 1 3.25550- 6 7.61889- 3 1.00000+ 1 1.00000+ 1 2.32155- 2 5.67120- 3 1.00000+ 1 1.10000+ 1 6.55903- 2 5.89670- 3 1.00000+ 1 1.30000+ 1 3.48590- 2 6.25380- 3 1.00000+ 1 1.40000+ 1 5.44853- 2 6.30340- 3 1.00000+ 1 1.60000+ 1 5.52464- 3 7.36090- 3 1.00000+ 1 1.80000+ 1 8.84562- 3 7.44586- 3 1.00000+ 1 1.90000+ 1 1.42355- 2 7.49698- 3 1.00000+ 1 2.10000+ 1 6.65572- 3 7.63817- 3 1.00000+ 1 2.20000+ 1 1.03420- 2 7.64746- 3 1.00000+ 1 2.40000+ 1 3.36633- 4 7.82081- 3 1.00000+ 1 2.50000+ 1 3.08625- 4 7.82223- 3 1.00000+ 1 2.70000+ 1 8.73129- 4 7.77200- 3 1.00000+ 1 2.90000+ 1 1.07765- 3 7.79546- 3 1.00000+ 1 3.00000+ 1 1.65835- 3 7.80189- 3 1.00000+ 1 4.10000+ 1 6.31566- 5 7.82629- 3 1.10000+ 1 1.10000+ 1 1.62255- 3 6.12220- 3 1.10000+ 1 1.30000+ 1 3.66077- 2 6.47930- 3 1.10000+ 1 1.40000+ 1 5.08311- 3 6.52890- 3 1.10000+ 1 1.60000+ 1 4.52509- 4 7.58640- 3 1.10000+ 1 1.80000+ 1 1.01362- 2 7.67136- 3 1.10000+ 1 1.90000+ 1 5.99661- 4 7.72248- 3 1.10000+ 1 2.10000+ 1 5.89186- 3 7.86367- 3 1.10000+ 1 2.20000+ 1 7.75500- 4 7.87296- 3 1.10000+ 1 2.40000+ 1 1.76451- 4 8.04631- 3 1.10000+ 1 2.50000+ 1 9.57123- 5 8.04773- 3 1.10000+ 1 2.70000+ 1 6.96669- 5 7.99750- 3 1.10000+ 1 2.90000+ 1 1.18440- 3 8.02096- 3 1.10000+ 1 3.00000+ 1 6.77151- 5 8.02739- 3 1.10000+ 1 4.10000+ 1 5.20893- 6 8.05179- 3 1.30000+ 1 1.30000+ 1 3.43007- 2 6.83640- 3 1.30000+ 1 1.40000+ 1 1.41264- 1 6.88600- 3 1.30000+ 1 1.60000+ 1 6.47179- 4 7.94350- 3 1.30000+ 1 1.80000+ 1 5.31039- 3 8.02846- 3 1.30000+ 1 1.90000+ 1 7.43420- 3 8.07958- 3 1.30000+ 1 2.10000+ 1 1.09517- 2 8.22077- 3 1.30000+ 1 2.20000+ 1 2.42009- 2 8.23006- 3 1.30000+ 1 2.40000+ 1 1.29830- 3 8.40341- 3 1.30000+ 1 2.50000+ 1 2.62475- 3 8.40483- 3 1.30000+ 1 2.70000+ 1 1.02873- 4 8.35460- 3 1.30000+ 1 2.90000+ 1 6.23115- 4 8.37806- 3 1.30000+ 1 3.00000+ 1 8.56163- 4 8.38449- 3 1.30000+ 1 4.10000+ 1 7.16219- 6 8.40889- 3 1.40000+ 1 1.40000+ 1 6.79834- 3 6.93560- 3 1.40000+ 1 1.60000+ 1 5.12426- 4 7.99310- 3 1.40000+ 1 1.80000+ 1 7.34771- 3 8.07806- 3 1.40000+ 1 1.90000+ 1 9.46075- 4 8.12918- 3 1.40000+ 1 2.10000+ 1 1.86804- 2 8.27037- 3 1.40000+ 1 2.20000+ 1 2.11475- 3 8.27966- 3 1.40000+ 1 2.40000+ 1 5.24151- 4 8.45301- 3 1.40000+ 1 2.50000+ 1 2.00546- 4 8.45443- 3 1.40000+ 1 2.70000+ 1 7.81329- 5 8.40420- 3 1.40000+ 1 2.90000+ 1 8.37332- 4 8.42766- 3 1.40000+ 1 3.00000+ 1 1.07432- 4 8.43409- 3 1.40000+ 1 4.10000+ 1 5.86013- 6 8.45849- 3 1.60000+ 1 1.60000+ 1 2.53920- 5 9.05060- 3 1.60000+ 1 1.80000+ 1 8.34043- 4 9.13556- 3 1.60000+ 1 1.90000+ 1 8.98514- 5 9.18668- 3 1.60000+ 1 2.10000+ 1 8.46382- 5 9.32787- 3 1.60000+ 1 2.20000+ 1 5.99004- 5 9.33716- 3 1.60000+ 1 2.40000+ 1 1.56260- 5 9.51051- 3 1.60000+ 1 2.50000+ 1 8.46382- 6 9.51193- 3 1.60000+ 1 2.70000+ 1 7.81298- 6 9.46170- 3 1.60000+ 1 2.90000+ 1 9.70102- 5 9.48516- 3 1.60000+ 1 3.00000+ 1 1.04171- 5 9.49159- 3 1.60000+ 1 4.10000+ 1 6.51095- 7 9.51599- 3 1.80000+ 1 1.80000+ 1 8.02824- 4 9.22052- 3 1.80000+ 1 1.90000+ 1 2.20529- 3 9.27164- 3 1.80000+ 1 2.10000+ 1 9.97535- 4 9.41283- 3 1.80000+ 1 2.20000+ 1 1.40640- 3 9.42212- 3 1.80000+ 1 2.40000+ 1 4.16710- 5 9.59547- 3 1.80000+ 1 2.50000+ 1 3.12536- 5 9.59689- 3 1.80000+ 1 2.70000+ 1 1.32182- 4 9.54666- 3 1.80000+ 1 2.90000+ 1 1.94023- 4 9.57012- 3 1.80000+ 1 3.00000+ 1 2.57186- 4 9.57655- 3 1.80000+ 1 4.10000+ 1 9.76645- 6 9.60095- 3 1.90000+ 1 1.90000+ 1 5.59947- 5 9.32276- 3 1.90000+ 1 2.10000+ 1 1.20587- 3 9.46395- 3 1.90000+ 1 2.20000+ 1 1.47798- 4 9.47324- 3 1.90000+ 1 2.40000+ 1 2.92994- 5 9.64659- 3 1.90000+ 1 2.50000+ 1 1.49753- 5 9.64801- 3 1.90000+ 1 2.70000+ 1 1.36738- 5 9.59778- 3 1.90000+ 1 2.90000+ 1 2.57829- 4 9.62124- 3 1.90000+ 1 3.00000+ 1 1.23712- 5 9.62767- 3 1.90000+ 1 4.10000+ 1 1.30215- 6 9.65207- 3 2.10000+ 1 2.10000+ 1 8.64043- 4 9.60514- 3 2.10000+ 1 2.20000+ 1 3.32387- 3 9.61443- 3 2.10000+ 1 2.40000+ 1 1.43242- 4 9.78778- 3 2.10000+ 1 2.50000+ 1 2.93653- 4 9.78920- 3 2.10000+ 1 2.70000+ 1 1.36739- 5 9.73897- 3 2.10000+ 1 2.90000+ 1 1.16546- 4 9.76243- 3 2.10000+ 1 3.00000+ 1 1.39340- 4 9.76886- 3 2.10000+ 1 4.10000+ 1 6.51123- 7 9.79326- 3 2.20000+ 1 2.20000+ 1 2.62611- 4 9.62372- 3 2.20000+ 1 2.40000+ 1 9.78324- 5 9.79707- 3 2.20000+ 1 2.50000+ 1 3.81042- 5 9.79849- 3 2.20000+ 1 2.70000+ 1 1.44178- 5 9.74826- 3 2.20000+ 1 2.90000+ 1 2.53331- 4 9.77172- 3 2.20000+ 1 3.00000+ 1 2.67762- 5 9.77815- 3 2.20000+ 1 4.10000+ 1 1.02985- 6 9.80255- 3 2.40000+ 1 2.40000+ 1 2.96621- 6 9.97042- 3 2.40000+ 1 2.50000+ 1 2.17528- 5 9.97184- 3 2.40000+ 1 2.70000+ 1 3.95510- 6 9.92161- 3 2.40000+ 1 2.90000+ 1 6.92129- 6 9.94507- 3 2.40000+ 1 3.00000+ 1 4.94382- 6 9.95150- 3 2.50000+ 1 2.50000+ 1 1.84368- 6 9.97326- 3 2.50000+ 1 2.70000+ 1 3.68713- 6 9.92303- 3 2.50000+ 1 2.90000+ 1 9.21813- 6 9.94649- 3 2.50000+ 1 3.00000+ 1 3.68713- 6 9.95292- 3 2.70000+ 1 2.70000+ 1 1.26229- 6 9.87280- 3 2.70000+ 1 2.90000+ 1 3.02945- 5 9.89626- 3 2.70000+ 1 3.00000+ 1 2.52442- 6 9.90269- 3 2.90000+ 1 2.90000+ 1 2.80259- 5 9.91972- 3 2.90000+ 1 3.00000+ 1 7.16208- 5 9.92615- 3 2.90000+ 1 4.10000+ 1 3.11381- 6 9.95055- 3 3.00000+ 1 3.00000+ 1 6.51123- 7 9.93258- 3 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.12631- 2 6.56570- 3 1.00000+ 1 8.74246- 5 6.77310- 3 1.10000+ 1 7.94785- 5 6.99860- 3 1.30000+ 1 1.79861- 2 7.35570- 3 1.40000+ 1 1.58741- 1 7.40530- 3 1.60000+ 1 1.84731- 3 8.46280- 3 1.80000+ 1 1.66891- 5 8.54776- 3 1.90000+ 1 1.62511- 5 8.59888- 3 2.10000+ 1 3.02842- 3 8.74007- 3 2.20000+ 1 2.71002- 2 8.74936- 3 2.40000+ 1 9.73387- 6 8.92271- 3 2.50000+ 1 5.45344- 5 8.92413- 3 2.70000+ 1 3.62332- 4 8.87390- 3 2.90000+ 1 3.70153- 6 8.89736- 3 3.00000+ 1 3.31612- 6 8.90379- 3 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.02368- 3 4.19760- 3 8.00000+ 0 1.00000+ 1 6.05937- 4 4.40500- 3 8.00000+ 0 1.10000+ 1 2.47733- 2 4.63050- 3 8.00000+ 0 1.30000+ 1 2.68177- 3 4.98760- 3 8.00000+ 0 1.40000+ 1 3.66758- 3 5.03720- 3 8.00000+ 0 1.60000+ 1 3.78455- 4 6.09470- 3 8.00000+ 0 1.80000+ 1 1.06419- 4 6.17966- 3 8.00000+ 0 1.90000+ 1 3.65425- 3 6.23078- 3 8.00000+ 0 2.10000+ 1 2.49421- 4 6.37197- 3 8.00000+ 0 2.20000+ 1 3.05953- 4 6.38126- 3 8.00000+ 0 2.40000+ 1 1.19720- 4 6.55461- 3 8.00000+ 0 2.50000+ 1 2.14836- 4 6.55603- 3 8.00000+ 0 2.70000+ 1 5.71999- 5 6.50580- 3 8.00000+ 0 2.90000+ 1 1.26377- 5 6.52926- 3 8.00000+ 0 3.00000+ 1 3.99059- 4 6.53569- 3 8.00000+ 0 4.10000+ 1 3.99059- 6 6.56009- 3 1.00000+ 1 1.00000+ 1 1.38344- 4 4.61240- 3 1.00000+ 1 1.10000+ 1 4.15316- 2 4.83790- 3 1.00000+ 1 1.30000+ 1 2.31256- 3 5.19500- 3 1.00000+ 1 1.40000+ 1 2.05440- 2 5.24460- 3 1.00000+ 1 1.60000+ 1 1.21052- 4 6.30210- 3 1.00000+ 1 1.80000+ 1 5.25429- 5 6.38706- 3 1.00000+ 1 1.90000+ 1 6.36382- 3 6.43818- 3 1.00000+ 1 2.10000+ 1 4.00407- 4 6.57937- 3 1.00000+ 1 2.20000+ 1 2.98232- 3 6.58866- 3 1.00000+ 1 2.40000+ 1 1.29031- 4 6.76201- 3 1.00000+ 1 2.50000+ 1 3.35220- 4 6.76343- 3 1.00000+ 1 2.70000+ 1 1.86240- 5 6.71320- 3 1.00000+ 1 2.90000+ 1 6.65127- 6 6.73666- 3 1.00000+ 1 3.00000+ 1 6.99023- 4 6.74309- 3 1.00000+ 1 4.10000+ 1 1.33021- 6 6.76749- 3 1.10000+ 1 1.10000+ 1 5.52355- 2 5.06340- 3 1.10000+ 1 1.30000+ 1 5.74305- 2 5.42050- 3 1.10000+ 1 1.40000+ 1 8.21139- 2 5.47010- 3 1.10000+ 1 1.60000+ 1 5.92899- 3 6.52760- 3 1.10000+ 1 1.80000+ 1 8.86459- 3 6.61256- 3 1.10000+ 1 1.90000+ 1 2.03443- 2 6.66368- 3 1.10000+ 1 2.10000+ 1 1.04287- 2 6.80487- 3 1.10000+ 1 2.20000+ 1 1.46346- 2 6.81416- 3 1.10000+ 1 2.40000+ 1 5.56699- 4 6.98751- 3 1.10000+ 1 2.50000+ 1 7.01045- 4 6.98893- 3 1.10000+ 1 2.70000+ 1 9.35120- 4 6.93870- 3 1.10000+ 1 2.90000+ 1 1.09671- 3 6.96216- 3 1.10000+ 1 3.00000+ 1 2.31392- 3 6.96859- 3 1.10000+ 1 4.10000+ 1 6.71784- 5 6.99299- 3 1.30000+ 1 1.30000+ 1 8.26122- 3 5.77760- 3 1.30000+ 1 1.40000+ 1 1.56092- 1 5.82720- 3 1.30000+ 1 1.60000+ 1 6.13237- 4 6.88470- 3 1.30000+ 1 1.80000+ 1 5.00840- 4 6.96966- 3 1.30000+ 1 1.90000+ 1 8.11477- 3 7.02078- 3 1.30000+ 1 2.10000+ 1 2.59318- 3 7.16197- 3 1.30000+ 1 2.20000+ 1 2.05765- 2 7.17126- 3 1.30000+ 1 2.40000+ 1 3.13931- 4 7.34461- 3 1.30000+ 1 2.50000+ 1 1.06216- 3 7.34603- 3 1.30000+ 1 2.70000+ 1 9.57769- 5 7.29580- 3 1.30000+ 1 2.90000+ 1 6.18570- 5 7.31926- 3 1.30000+ 1 3.00000+ 1 8.79291- 4 7.32569- 3 1.30000+ 1 4.10000+ 1 6.65133- 6 7.35009- 3 1.40000+ 1 1.40000+ 1 1.04883- 1 5.87680- 3 1.40000+ 1 1.60000+ 1 8.73301- 4 6.93430- 3 1.40000+ 1 1.80000+ 1 4.03199- 3 7.01926- 3 1.40000+ 1 1.90000+ 1 1.30921- 2 7.07038- 3 1.40000+ 1 2.10000+ 1 2.47803- 2 7.21157- 3 1.40000+ 1 2.20000+ 1 3.13628- 2 7.22086- 3 1.40000+ 1 2.40000+ 1 3.33900- 3 7.39421- 3 1.40000+ 1 2.50000+ 1 3.02365- 3 7.39563- 3 1.40000+ 1 2.70000+ 1 1.38345- 4 7.34540- 3 1.40000+ 1 2.90000+ 1 4.91527- 4 7.36886- 3 1.40000+ 1 3.00000+ 1 1.45526- 3 7.37529- 3 1.40000+ 1 4.10000+ 1 9.97706- 6 7.39969- 3 1.60000+ 1 1.60000+ 1 3.52516- 5 7.99180- 3 1.60000+ 1 1.80000+ 1 2.19492- 5 8.07676- 3 1.60000+ 1 1.90000+ 1 8.76645- 4 8.12788- 3 1.60000+ 1 2.10000+ 1 6.25217- 5 8.26907- 3 1.60000+ 1 2.20000+ 1 7.98165- 5 8.27836- 3 1.60000+ 1 2.40000+ 1 1.72929- 5 8.45171- 3 1.60000+ 1 2.50000+ 1 3.45869- 5 8.45313- 3 1.60000+ 1 2.70000+ 1 1.06418- 5 8.40290- 3 1.60000+ 1 2.90000+ 1 2.66034- 6 8.42636- 3 1.60000+ 1 3.00000+ 1 9.57769- 5 8.43279- 3 1.60000+ 1 4.10000+ 1 6.65133- 7 8.45719- 3 1.80000+ 1 1.80000+ 1 3.99053- 6 8.16172- 3 1.80000+ 1 1.90000+ 1 1.35415- 3 8.21284- 3 1.80000+ 1 2.10000+ 1 8.31404- 5 8.35403- 3 1.80000+ 1 2.20000+ 1 6.11907- 4 8.36332- 3 1.80000+ 1 2.40000+ 1 1.86240- 5 8.53667- 3 1.80000+ 1 2.50000+ 1 4.58917- 5 8.53809- 3 1.80000+ 1 2.70000+ 1 3.32542- 6 8.48786- 3 1.80000+ 1 2.90000+ 1 6.65125- 7 8.51132- 3 1.80000+ 1 3.00000+ 1 1.48323- 4 8.51775- 3 1.90000+ 1 1.90000+ 1 1.80411- 3 8.26396- 3 1.90000+ 1 2.10000+ 1 1.47775- 3 8.40515- 3 1.90000+ 1 2.20000+ 1 2.30026- 3 8.41444- 3 1.90000+ 1 2.40000+ 1 6.45985- 5 8.58779- 3 1.90000+ 1 2.50000+ 1 8.59130- 5 8.58921- 3 1.90000+ 1 2.70000+ 1 1.38521- 4 8.53898- 3 1.90000+ 1 2.90000+ 1 1.67829- 4 8.56244- 3 1.90000+ 1 3.00000+ 1 4.07575- 4 8.56887- 3 1.90000+ 1 4.10000+ 1 9.98975- 6 8.59327- 3 2.10000+ 1 2.10000+ 1 1.96210- 4 8.54634- 3 2.10000+ 1 2.20000+ 1 3.39201- 3 8.55563- 3 2.10000+ 1 2.40000+ 1 3.39201- 5 8.72898- 3 2.10000+ 1 2.50000+ 1 1.09740- 4 8.73040- 3 2.10000+ 1 2.70000+ 1 9.97700- 6 8.68017- 3 2.10000+ 1 2.90000+ 1 9.97700- 6 8.70363- 3 2.10000+ 1 3.00000+ 1 1.59626- 4 8.71006- 3 2.10000+ 1 4.10000+ 1 6.65129- 7 8.73446- 3 2.20000+ 1 2.20000+ 1 2.80317- 3 8.56492- 3 2.20000+ 1 2.40000+ 1 4.16401- 4 8.73827- 3 2.20000+ 1 2.50000+ 1 3.72065- 4 8.73969- 3 2.20000+ 1 2.70000+ 1 1.50413- 5 8.68946- 3 2.20000+ 1 2.90000+ 1 8.94544- 5 8.71292- 3 2.20000+ 1 3.00000+ 1 3.03207- 4 8.71935- 3 2.20000+ 1 4.10000+ 1 7.91641- 7 8.74375- 3 2.40000+ 1 2.40000+ 1 1.19042- 6 8.91162- 3 2.40000+ 1 2.50000+ 1 4.16643- 5 8.91304- 3 2.40000+ 1 2.70000+ 1 4.76135- 6 8.86281- 3 2.40000+ 1 2.90000+ 1 3.57115- 6 8.88627- 3 2.40000+ 1 3.00000+ 1 1.19042- 5 8.89270- 3 2.50000+ 1 2.50000+ 1 9.18301- 6 8.91446- 3 2.50000+ 1 2.70000+ 1 6.12201- 6 8.86423- 3 2.50000+ 1 2.90000+ 1 6.12201- 6 8.88769- 3 2.50000+ 1 3.00000+ 1 1.07129- 5 8.89412- 3 2.50000+ 1 4.10000+ 1 7.65245- 7 8.91852- 3 2.70000+ 1 2.70000+ 1 1.41977- 6 8.81400- 3 2.70000+ 1 2.90000+ 1 1.41977- 6 8.83746- 3 2.70000+ 1 3.00000+ 1 3.26547- 5 8.84389- 3 2.90000+ 1 3.00000+ 1 6.24484- 5 8.86735- 3 3.00000+ 1 3.00000+ 1 1.27316- 4 8.87378- 3 3.00000+ 1 4.10000+ 1 7.27504- 6 8.89818- 3 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 9.72676- 6 2.07400- 4 1.10000+ 1 1.80949- 4 4.32900- 4 1.80000+ 1 7.06437- 4 1.98206- 3 1.90000+ 1 7.31827- 4 2.03318- 3 2.90000+ 1 1.57669- 4 2.33166- 3 3.00000+ 1 1.54579- 4 2.33809- 3 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 5.41939- 2 1.36700- 5 1.00000+ 1 2.20000+ 1 8.65156- 2 2.29600- 5 1.00000+ 1 2.40000+ 1 3.48269- 2 1.96310- 4 1.00000+ 1 2.50000+ 1 4.61255- 2 1.97730- 4 1.00000+ 1 2.70000+ 1 7.75563- 3 1.47500- 4 1.00000+ 1 2.90000+ 1 6.48570- 3 1.70960- 4 1.00000+ 1 3.00000+ 1 9.23143- 3 1.77390- 4 1.00000+ 1 4.10000+ 1 5.44153- 4 2.01790- 4 1.10000+ 1 1.80000+ 1 6.13101- 2 4.68600- 5 1.10000+ 1 1.90000+ 1 7.61489- 2 9.79800- 5 1.10000+ 1 2.10000+ 1 3.12663- 2 2.39170- 4 1.10000+ 1 2.20000+ 1 4.53705- 2 2.48460- 4 1.10000+ 1 2.40000+ 1 1.14191- 1 4.21810- 4 1.10000+ 1 2.50000+ 1 1.41559- 1 4.23230- 4 1.10000+ 1 2.70000+ 1 8.46211- 3 3.73000- 4 1.10000+ 1 2.90000+ 1 7.07487- 3 3.96460- 4 1.10000+ 1 3.00000+ 1 8.68523- 3 4.02890- 4 1.10000+ 1 4.10000+ 1 5.99897- 4 4.27290- 4 1.30000+ 1 1.60000+ 1 2.36537- 2 3.19000- 4 1.30000+ 1 1.80000+ 1 5.24091- 3 4.03960- 4 1.30000+ 1 1.90000+ 1 5.01761- 3 4.55080- 4 1.30000+ 1 2.10000+ 1 7.76640- 3 5.96270- 4 1.30000+ 1 2.20000+ 1 9.71162- 3 6.05560- 4 1.30000+ 1 2.40000+ 1 5.83433- 3 7.78910- 4 1.30000+ 1 2.50000+ 1 5.39658- 3 7.80330- 4 1.30000+ 1 2.70000+ 1 2.49507- 3 7.30100- 4 1.30000+ 1 2.90000+ 1 5.13411- 4 7.53560- 4 1.30000+ 1 3.00000+ 1 4.54626- 4 7.59990- 4 1.30000+ 1 4.10000+ 1 1.71470- 4 7.84390- 4 1.40000+ 1 1.60000+ 1 3.37779- 2 3.68600- 4 1.40000+ 1 1.80000+ 1 1.03209- 3 4.53560- 4 1.40000+ 1 1.90000+ 1 1.00290- 2 5.04680- 4 1.40000+ 1 2.10000+ 1 1.06421- 2 6.45870- 4 1.40000+ 1 2.20000+ 1 1.57380- 2 6.55160- 4 1.40000+ 1 2.40000+ 1 6.65027- 3 8.28510- 4 1.40000+ 1 2.50000+ 1 1.02767- 2 8.29930- 4 1.40000+ 1 2.70000+ 1 3.53186- 3 7.79700- 4 1.40000+ 1 2.90000+ 1 1.04848- 4 8.03160- 4 1.40000+ 1 3.00000+ 1 9.06246- 4 8.09590- 4 1.40000+ 1 4.10000+ 1 2.42602- 4 8.33990- 4 1.60000+ 1 1.60000+ 1 3.84555- 3 1.42610- 3 1.60000+ 1 1.80000+ 1 6.53962- 3 1.51106- 3 1.60000+ 1 1.90000+ 1 1.13320- 2 1.56218- 3 1.60000+ 1 2.10000+ 1 1.24515- 2 1.70337- 3 1.60000+ 1 2.20000+ 1 1.77713- 2 1.71266- 3 1.60000+ 1 2.40000+ 1 6.17188- 3 1.88601- 3 1.60000+ 1 2.50000+ 1 7.71198- 3 1.88743- 3 1.60000+ 1 2.70000+ 1 1.00670- 3 1.83720- 3 1.60000+ 1 2.90000+ 1 8.12101- 4 1.86066- 3 1.60000+ 1 3.00000+ 1 1.31789- 3 1.86709- 3 1.60000+ 1 4.10000+ 1 7.11828- 5 1.89149- 3 1.80000+ 1 1.80000+ 1 3.12138- 4 1.59602- 3 1.80000+ 1 1.90000+ 1 8.25123- 4 1.64714- 3 1.80000+ 1 2.10000+ 1 4.62526- 4 1.78833- 3 1.80000+ 1 2.20000+ 1 2.58773- 4 1.79762- 3 1.80000+ 1 2.40000+ 1 7.87706- 5 1.97097- 3 1.80000+ 1 2.50000+ 1 4.35821- 4 1.97239- 3 1.80000+ 1 2.70000+ 1 6.74758- 4 1.92216- 3 1.80000+ 1 2.90000+ 1 6.11932- 5 1.94562- 3 1.80000+ 1 3.00000+ 1 7.48633- 5 1.95205- 3 1.80000+ 1 4.10000+ 1 4.62190- 5 1.97645- 3 1.90000+ 1 1.90000+ 1 1.04845- 3 1.69826- 3 1.90000+ 1 2.10000+ 1 7.46393- 4 1.83945- 3 1.90000+ 1 2.20000+ 1 1.78671- 3 1.84874- 3 1.90000+ 1 2.40000+ 1 4.72962- 4 2.02209- 3 1.90000+ 1 2.50000+ 1 8.79183- 4 2.02351- 3 1.90000+ 1 2.70000+ 1 1.17442- 3 1.97328- 3 1.90000+ 1 2.90000+ 1 8.69096- 5 1.99674- 3 1.90000+ 1 3.00000+ 1 2.07022- 4 2.00317- 3 1.90000+ 1 4.10000+ 1 8.07252- 5 2.02757- 3 2.10000+ 1 2.10000+ 1 1.42119- 4 1.98064- 3 2.10000+ 1 2.20000+ 1 6.80812- 4 1.98993- 3 2.10000+ 1 2.40000+ 1 4.33584- 4 2.16328- 3 2.10000+ 1 2.50000+ 1 3.17363- 3 2.16470- 3 2.10000+ 1 2.70000+ 1 1.27555- 3 2.11447- 3 2.10000+ 1 2.90000+ 1 4.12613- 5 2.13793- 3 2.10000+ 1 3.00000+ 1 7.00793- 5 2.14436- 3 2.10000+ 1 4.10000+ 1 8.74349- 5 2.16876- 3 2.20000+ 1 2.20000+ 1 3.76663- 4 1.99922- 3 2.20000+ 1 2.40000+ 1 3.08489- 3 2.17257- 3 2.20000+ 1 2.50000+ 1 1.74965- 3 2.17399- 3 2.20000+ 1 2.70000+ 1 1.79093- 3 2.12376- 3 2.20000+ 1 2.90000+ 1 2.45284- 5 2.14722- 3 2.20000+ 1 3.00000+ 1 1.63957- 4 2.15365- 3 2.20000+ 1 4.10000+ 1 1.22644- 4 2.17805- 3 2.40000+ 1 2.40000+ 1 4.06889- 4 2.34592- 3 2.40000+ 1 2.50000+ 1 2.95370- 3 2.34734- 3 2.40000+ 1 2.70000+ 1 5.81660- 4 2.29711- 3 2.40000+ 1 2.90000+ 1 7.16107- 6 2.32057- 3 2.40000+ 1 3.00000+ 1 3.67837- 5 2.32700- 3 2.40000+ 1 4.10000+ 1 3.93850- 5 2.35140- 3 2.50000+ 1 2.50000+ 1 9.60038- 4 2.34876- 3 2.50000+ 1 2.70000+ 1 7.26379- 4 2.29853- 3 2.50000+ 1 2.90000+ 1 4.88157- 5 2.32199- 3 2.50000+ 1 3.00000+ 1 6.89929- 5 2.32842- 3 2.50000+ 1 4.10000+ 1 4.94665- 5 2.35282- 3 2.70000+ 1 2.70000+ 1 1.22764- 4 2.24830- 3 2.70000+ 1 2.90000+ 1 1.67347- 4 2.27176- 3 2.70000+ 1 3.00000+ 1 2.71361- 4 2.27819- 3 2.70000+ 1 4.10000+ 1 1.74451- 5 2.30259- 3 2.90000+ 1 2.90000+ 1 6.99410- 6 2.29522- 3 2.90000+ 1 3.00000+ 1 1.86510- 5 2.30165- 3 2.90000+ 1 4.10000+ 1 1.39877- 5 2.32605- 3 3.00000+ 1 3.00000+ 1 3.34087- 5 2.30808- 3 3.00000+ 1 4.10000+ 1 3.12530- 5 2.33248- 3 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 6.50875- 4 5.82600- 4 1.60000+ 1 5.43144- 4 1.68970- 3 2.10000+ 1 2.78382- 3 1.96697- 3 2.70000+ 1 1.00751- 4 2.10080- 3 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 8.33332- 3 3.17700- 5 1.10000+ 1 2.20000+ 1 2.05054- 2 4.10600- 5 1.10000+ 1 2.40000+ 1 2.59211- 2 2.14410- 4 1.10000+ 1 2.50000+ 1 2.66390- 2 2.15830- 4 1.10000+ 1 2.70000+ 1 3.45162- 3 1.65600- 4 1.10000+ 1 2.90000+ 1 3.61819- 3 1.89060- 4 1.10000+ 1 3.00000+ 1 3.21550- 3 1.95490- 4 1.10000+ 1 4.10000+ 1 2.35571- 4 2.19890- 4 1.30000+ 1 1.60000+ 1 6.11101- 2 1.11600- 4 1.30000+ 1 1.80000+ 1 6.10758- 2 1.96560- 4 1.30000+ 1 1.90000+ 1 7.21075- 2 2.47680- 4 1.30000+ 1 2.10000+ 1 2.52466- 2 3.88870- 4 1.30000+ 1 2.20000+ 1 2.91209- 2 3.98160- 4 1.30000+ 1 2.40000+ 1 1.24240- 1 5.71510- 4 1.30000+ 1 2.50000+ 1 1.86011- 1 5.72930- 4 1.30000+ 1 2.70000+ 1 9.54376- 3 5.22700- 4 1.30000+ 1 2.90000+ 1 6.56234- 3 5.46160- 4 1.30000+ 1 3.00000+ 1 8.06546- 3 5.52590- 4 1.30000+ 1 4.10000+ 1 6.81167- 4 5.76990- 4 1.40000+ 1 1.60000+ 1 1.02177- 2 1.61200- 4 1.40000+ 1 1.80000+ 1 6.98344- 2 2.46160- 4 1.40000+ 1 1.90000+ 1 6.43195- 3 2.97280- 4 1.40000+ 1 2.10000+ 1 1.08902- 3 4.38470- 4 1.40000+ 1 2.20000+ 1 3.39948- 3 4.47760- 4 1.40000+ 1 2.40000+ 1 4.05820- 3 6.21110- 4 1.40000+ 1 2.50000+ 1 3.11636- 3 6.22530- 4 1.40000+ 1 2.70000+ 1 1.06474- 3 5.72300- 4 1.40000+ 1 2.90000+ 1 6.06666- 3 5.95760- 4 1.40000+ 1 3.00000+ 1 6.58780- 4 6.02190- 4 1.40000+ 1 4.10000+ 1 7.34736- 5 6.26590- 4 1.60000+ 1 1.60000+ 1 9.02832- 4 1.21870- 3 1.60000+ 1 1.80000+ 1 1.25815- 2 1.30366- 3 1.60000+ 1 1.90000+ 1 1.91235- 3 1.35478- 3 1.60000+ 1 2.10000+ 1 4.03302- 4 1.49597- 3 1.60000+ 1 2.20000+ 1 1.45015- 3 1.50526- 3 1.60000+ 1 2.40000+ 1 5.43392- 5 1.67861- 3 1.60000+ 1 2.50000+ 1 7.57476- 4 1.68003- 3 1.60000+ 1 2.70000+ 1 2.23249- 4 1.62980- 3 1.60000+ 1 2.90000+ 1 1.05865- 3 1.65326- 3 1.60000+ 1 3.00000+ 1 2.01646- 4 1.65969- 3 1.60000+ 1 4.10000+ 1 1.57129- 5 1.68409- 3 1.80000+ 1 1.80000+ 1 9.32869- 3 1.38862- 3 1.80000+ 1 1.90000+ 1 2.74104- 2 1.43974- 3 1.80000+ 1 2.10000+ 1 2.60785- 2 1.58093- 3 1.80000+ 1 2.20000+ 1 4.23636- 2 1.59022- 3 1.80000+ 1 2.40000+ 1 1.06896- 2 1.76357- 3 1.80000+ 1 2.50000+ 1 1.81288- 2 1.76499- 3 1.80000+ 1 2.70000+ 1 1.94516- 3 1.71476- 3 1.80000+ 1 2.90000+ 1 1.97106- 3 1.73822- 3 1.80000+ 1 3.00000+ 1 3.16543- 3 1.74465- 3 1.80000+ 1 4.10000+ 1 1.39909- 4 1.76905- 3 1.90000+ 1 1.90000+ 1 7.60186- 4 1.49086- 3 1.90000+ 1 2.10000+ 1 2.05462- 3 1.63205- 3 1.90000+ 1 2.20000+ 1 1.66350- 3 1.64134- 3 1.90000+ 1 2.40000+ 1 7.70823- 3 1.81469- 3 1.90000+ 1 2.50000+ 1 2.14266- 3 1.81611- 3 1.90000+ 1 2.70000+ 1 1.98144- 4 1.76588- 3 1.90000+ 1 2.90000+ 1 2.35762- 3 1.78934- 3 1.90000+ 1 3.00000+ 1 1.49578- 4 1.79577- 3 1.90000+ 1 4.10000+ 1 1.35978- 5 1.82017- 3 2.10000+ 1 2.10000+ 1 8.79223- 4 1.77324- 3 2.10000+ 1 2.20000+ 1 2.52573- 3 1.78253- 3 2.10000+ 1 2.40000+ 1 9.44024- 4 1.95588- 3 2.10000+ 1 2.50000+ 1 1.73617- 3 1.95730- 3 2.10000+ 1 2.70000+ 1 5.76106- 5 1.90707- 3 2.10000+ 1 2.90000+ 1 2.21804- 3 1.93053- 3 2.10000+ 1 3.00000+ 1 2.08839- 4 1.93696- 3 2.10000+ 1 4.10000+ 1 3.92781- 6 1.96136- 3 2.20000+ 1 2.20000+ 1 5.93765- 4 1.79182- 3 2.20000+ 1 2.40000+ 1 3.09973- 3 1.96517- 3 2.20000+ 1 2.50000+ 1 6.56629- 4 1.96659- 3 2.20000+ 1 2.70000+ 1 1.81343- 4 1.91636- 3 2.20000+ 1 2.90000+ 1 3.65435- 3 1.93982- 3 2.20000+ 1 3.00000+ 1 1.54502- 4 1.94625- 3 2.20000+ 1 4.10000+ 1 1.24386- 5 1.97065- 3 2.40000+ 1 2.40000+ 1 1.89203- 3 2.13852- 3 2.40000+ 1 2.50000+ 1 1.21663- 2 2.13994- 3 2.40000+ 1 2.70000+ 1 2.61867- 6 2.08971- 3 2.40000+ 1 2.90000+ 1 8.39945- 4 2.11317- 3 2.40000+ 1 3.00000+ 1 8.45186- 4 2.11960- 3 2.50000+ 1 2.50000+ 1 6.29756- 4 2.14136- 3 2.50000+ 1 2.70000+ 1 1.00815- 4 2.09113- 3 2.50000+ 1 2.90000+ 1 1.41929- 3 2.11459- 3 2.50000+ 1 3.00000+ 1 2.12761- 4 2.12102- 3 2.50000+ 1 4.10000+ 1 7.20112- 6 2.14542- 3 2.70000+ 1 2.70000+ 1 1.92747- 5 2.04090- 3 2.70000+ 1 2.90000+ 1 2.33135- 4 2.06436- 3 2.70000+ 1 3.00000+ 1 3.02892- 5 2.07079- 3 2.70000+ 1 4.10000+ 1 2.75356- 6 2.09519- 3 2.90000+ 1 2.90000+ 1 2.55841- 4 2.08782- 3 2.90000+ 1 3.00000+ 1 7.05658- 4 2.09425- 3 2.90000+ 1 4.10000+ 1 3.00992- 5 2.11865- 3 3.00000+ 1 3.00000+ 1 6.48270- 5 2.10068- 3 3.00000+ 1 4.10000+ 1 1.17866- 5 2.12508- 3 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.74335- 5 3.57100- 4 1.40000+ 1 2.41494- 4 4.06700- 4 1.60000+ 1 8.46026- 4 1.46420- 3 2.10000+ 1 4.02834- 4 1.74147- 3 2.20000+ 1 3.20007- 3 1.75076- 3 2.70000+ 1 1.52479- 4 1.87530- 3 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.90000+ 1 5.24318- 2 2.21800- 5 1.30000+ 1 2.10000+ 1 9.40118- 3 1.63370- 4 1.30000+ 1 2.20000+ 1 8.93756- 3 1.72660- 4 1.30000+ 1 2.40000+ 1 1.27197- 2 3.46010- 4 1.30000+ 1 2.50000+ 1 1.83507- 2 3.47430- 4 1.30000+ 1 2.70000+ 1 1.81782- 3 2.97200- 4 1.30000+ 1 2.90000+ 1 1.27850- 3 3.20660- 4 1.30000+ 1 3.00000+ 1 4.72406- 3 3.27090- 4 1.30000+ 1 4.10000+ 1 1.27308- 4 3.51490- 4 1.40000+ 1 1.80000+ 1 7.60132- 2 2.06600- 5 1.40000+ 1 1.90000+ 1 1.18312- 1 7.17800- 5 1.40000+ 1 2.10000+ 1 4.21284- 2 2.12970- 4 1.40000+ 1 2.20000+ 1 6.00053- 2 2.22260- 4 1.40000+ 1 2.40000+ 1 1.26025- 1 3.95610- 4 1.40000+ 1 2.50000+ 1 1.49788- 1 3.97030- 4 1.40000+ 1 2.70000+ 1 1.06534- 2 3.46800- 4 1.40000+ 1 2.90000+ 1 8.73597- 3 3.70260- 4 1.40000+ 1 3.00000+ 1 1.21890- 2 3.76690- 4 1.40000+ 1 4.10000+ 1 7.51122- 4 4.01090- 4 1.60000+ 1 1.60000+ 1 6.39185- 4 9.93200- 4 1.60000+ 1 1.80000+ 1 1.01210- 3 1.07816- 3 1.60000+ 1 1.90000+ 1 1.57447- 2 1.12928- 3 1.60000+ 1 2.10000+ 1 9.32308- 4 1.27047- 3 1.60000+ 1 2.20000+ 1 1.03386- 3 1.27976- 3 1.60000+ 1 2.40000+ 1 1.08248- 3 1.45311- 3 1.60000+ 1 2.50000+ 1 1.68907- 3 1.45453- 3 1.60000+ 1 2.70000+ 1 1.56715- 4 1.40430- 3 1.60000+ 1 2.90000+ 1 1.00848- 4 1.42776- 3 1.60000+ 1 3.00000+ 1 1.27260- 3 1.43419- 3 1.60000+ 1 4.10000+ 1 1.08831- 5 1.45859- 3 1.80000+ 1 1.80000+ 1 1.05926- 4 1.16312- 3 1.80000+ 1 1.90000+ 1 1.87731- 2 1.21424- 3 1.80000+ 1 2.10000+ 1 4.34579- 4 1.35543- 3 1.80000+ 1 2.20000+ 1 3.55348- 3 1.36472- 3 1.80000+ 1 2.40000+ 1 1.22974- 3 1.53807- 3 1.80000+ 1 2.50000+ 1 7.03108- 3 1.53949- 3 1.80000+ 1 2.70000+ 1 1.11002- 4 1.48926- 3 1.80000+ 1 2.90000+ 1 1.95890- 5 1.51272- 3 1.80000+ 1 3.00000+ 1 1.53810- 3 1.51915- 3 1.80000+ 1 4.10000+ 1 7.98076- 6 1.54355- 3 1.90000+ 1 1.90000+ 1 2.59616- 2 1.26536- 3 1.90000+ 1 2.10000+ 1 3.61229- 2 1.40655- 3 1.90000+ 1 2.20000+ 1 4.78745- 2 1.41584- 3 1.90000+ 1 2.40000+ 1 2.11949- 2 1.58919- 3 1.90000+ 1 2.50000+ 1 2.39345- 2 1.59061- 3 1.90000+ 1 2.70000+ 1 2.41235- 3 1.54038- 3 1.90000+ 1 2.90000+ 1 2.29116- 3 1.56384- 3 1.90000+ 1 3.00000+ 1 5.10337- 3 1.57027- 3 1.90000+ 1 4.10000+ 1 1.72669- 4 1.59467- 3 2.10000+ 1 2.10000+ 1 2.34338- 4 1.54774- 3 2.10000+ 1 2.20000+ 1 4.90724- 3 1.55703- 3 2.10000+ 1 2.40000+ 1 5.12933- 4 1.73038- 3 2.10000+ 1 2.50000+ 1 6.20673- 3 1.73180- 3 2.10000+ 1 2.70000+ 1 9.35909- 5 1.68157- 3 2.10000+ 1 2.90000+ 1 2.97424- 5 1.70503- 3 2.10000+ 1 3.00000+ 1 2.92972- 3 1.71146- 3 2.10000+ 1 4.10000+ 1 6.52936- 6 1.73586- 3 2.20000+ 1 2.20000+ 1 2.30427- 3 1.56632- 3 2.20000+ 1 2.40000+ 1 5.03066- 3 1.73967- 3 2.20000+ 1 2.50000+ 1 4.29070- 3 1.74109- 3 2.20000+ 1 2.70000+ 1 1.05201- 4 1.69086- 3 2.20000+ 1 2.90000+ 1 2.69163- 4 1.71432- 3 2.20000+ 1 3.00000+ 1 3.84455- 3 1.72075- 3 2.20000+ 1 4.10000+ 1 7.25529- 6 1.74515- 3 2.40000+ 1 2.40000+ 1 5.59362- 4 1.91302- 3 2.40000+ 1 2.50000+ 1 1.51013- 2 1.91444- 3 2.40000+ 1 2.70000+ 1 1.03751- 4 1.86421- 3 2.40000+ 1 2.90000+ 1 1.26968- 4 1.88767- 3 2.40000+ 1 3.00000+ 1 1.64114- 3 1.89410- 3 2.40000+ 1 4.10000+ 1 7.25530- 6 1.91850- 3 2.50000+ 1 2.50000+ 1 5.80865- 3 1.91586- 3 2.50000+ 1 2.70000+ 1 1.31319- 4 1.86563- 3 2.50000+ 1 2.90000+ 1 7.29163- 4 1.88909- 3 2.50000+ 1 3.00000+ 1 1.90596- 3 1.89552- 3 2.50000+ 1 4.10000+ 1 8.70624- 6 1.91992- 3 2.70000+ 1 2.70000+ 1 1.77292- 5 1.81540- 3 2.70000+ 1 2.90000+ 1 2.02618- 5 1.83886- 3 2.70000+ 1 3.00000+ 1 3.40652- 4 1.84529- 3 2.70000+ 1 4.10000+ 1 2.53268- 6 1.86969- 3 2.90000+ 1 2.90000+ 1 1.55384- 6 1.86232- 3 2.90000+ 1 3.00000+ 1 4.03997- 4 1.86875- 3 2.90000+ 1 4.10000+ 1 1.55384- 6 1.89315- 3 3.00000+ 1 3.00000+ 1 1.43547- 3 1.87518- 3 3.00000+ 1 4.10000+ 1 8.14148- 5 1.89958- 3 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.55239- 3 1.19206- 3 1.90000+ 1 2.87578- 4 1.24318- 3 2.40000+ 1 1.07589- 2 1.56701- 3 2.90000+ 1 5.41077- 4 1.54166- 3 3.00000+ 1 6.04237- 5 1.54809- 3 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 1.09879- 1 3.85100- 5 1.40000+ 1 2.50000+ 1 1.49972- 2 3.99300- 5 1.40000+ 1 2.90000+ 1 5.54072- 4 1.31600- 5 1.40000+ 1 3.00000+ 1 1.43244- 3 1.95900- 5 1.40000+ 1 4.10000+ 1 9.63445- 5 4.39900- 5 1.60000+ 1 1.60000+ 1 3.79683- 5 6.36100- 4 1.60000+ 1 1.80000+ 1 2.01247- 3 7.21060- 4 1.60000+ 1 1.90000+ 1 1.38677- 3 7.72180- 4 1.60000+ 1 2.10000+ 1 4.91573- 2 9.13370- 4 1.60000+ 1 2.20000+ 1 5.89584- 3 9.22660- 4 1.60000+ 1 2.40000+ 1 1.39834- 2 1.09601- 3 1.60000+ 1 2.50000+ 1 4.41693- 3 1.09743- 3 1.60000+ 1 2.70000+ 1 2.16964- 5 1.04720- 3 1.60000+ 1 2.90000+ 1 1.97068- 4 1.07066- 3 1.60000+ 1 3.00000+ 1 1.10292- 4 1.07709- 3 1.60000+ 1 4.10000+ 1 1.80806- 6 1.10149- 3 1.80000+ 1 1.80000+ 1 1.15534- 3 8.06020- 4 1.80000+ 1 1.90000+ 1 7.32223- 3 8.57140- 4 1.80000+ 1 2.10000+ 1 4.27255- 2 9.98330- 4 1.80000+ 1 2.20000+ 1 3.46597- 3 1.00762- 3 1.80000+ 1 2.40000+ 1 8.73426- 3 1.18097- 3 1.80000+ 1 2.50000+ 1 4.43862- 3 1.18239- 3 1.80000+ 1 2.70000+ 1 2.13346- 4 1.13216- 3 1.80000+ 1 2.90000+ 1 2.29609- 4 1.15562- 3 1.80000+ 1 3.00000+ 1 6.47261- 4 1.16205- 3 1.80000+ 1 4.10000+ 1 1.44644- 5 1.18645- 3 1.90000+ 1 1.90000+ 1 2.63784- 3 9.08260- 4 1.90000+ 1 2.10000+ 1 8.96740- 2 1.04945- 3 1.90000+ 1 2.20000+ 1 3.36645- 3 1.05874- 3 1.90000+ 1 2.40000+ 1 4.74963- 3 1.23209- 3 1.90000+ 1 2.50000+ 1 2.50765- 3 1.23351- 3 1.90000+ 1 2.70000+ 1 1.64526- 4 1.18328- 3 1.90000+ 1 2.90000+ 1 6.20153- 4 1.20674- 3 1.90000+ 1 3.00000+ 1 4.48377- 4 1.21317- 3 1.90000+ 1 4.10000+ 1 1.08476- 5 1.23757- 3 2.10000+ 1 2.10000+ 1 7.63066- 2 1.19064- 3 2.10000+ 1 2.20000+ 1 1.53748- 1 1.19993- 3 2.10000+ 1 2.40000+ 1 5.48347- 2 1.37328- 3 2.10000+ 1 2.50000+ 1 6.80397- 2 1.37470- 3 2.10000+ 1 2.70000+ 1 6.99139- 3 1.32447- 3 2.10000+ 1 2.90000+ 1 5.23961- 3 1.34793- 3 2.10000+ 1 3.00000+ 1 1.00890- 2 1.35436- 3 2.10000+ 1 4.10000+ 1 4.99014- 4 1.37876- 3 2.20000+ 1 2.20000+ 1 2.51310- 3 1.20922- 3 2.20000+ 1 2.40000+ 1 5.75624- 2 1.38257- 3 2.20000+ 1 2.50000+ 1 3.15861- 3 1.38399- 3 2.20000+ 1 2.70000+ 1 4.82727- 4 1.33376- 3 2.20000+ 1 2.90000+ 1 2.85659- 4 1.35722- 3 2.20000+ 1 3.00000+ 1 3.14597- 4 1.36365- 3 2.20000+ 1 4.10000+ 1 3.25434- 5 1.38805- 3 2.40000+ 1 2.40000+ 1 4.07702- 2 1.55592- 3 2.40000+ 1 2.50000+ 1 1.17585- 1 1.55734- 3 2.40000+ 1 2.70000+ 1 2.03952- 3 1.50711- 3 2.40000+ 1 2.90000+ 1 8.89595- 4 1.53057- 3 2.40000+ 1 3.00000+ 1 5.26145- 4 1.53700- 3 2.40000+ 1 4.10000+ 1 1.48262- 4 1.56140- 3 2.50000+ 1 2.50000+ 1 3.03210- 3 1.55876- 3 2.50000+ 1 2.70000+ 1 5.75333- 4 1.50853- 3 2.50000+ 1 2.90000+ 1 3.26524- 4 1.53199- 3 2.50000+ 1 3.00000+ 1 3.15433- 4 1.53842- 3 2.50000+ 1 4.10000+ 1 3.99837- 5 1.56282- 3 2.70000+ 1 2.70000+ 1 1.97697- 5 1.45830- 3 2.70000+ 1 2.90000+ 1 2.37232- 4 1.48176- 3 2.70000+ 1 3.00000+ 1 1.58156- 4 1.48819- 3 2.90000+ 1 2.90000+ 1 1.27707- 4 1.50522- 3 2.90000+ 1 3.00000+ 1 5.83824- 4 1.51165- 3 2.90000+ 1 4.10000+ 1 1.82451- 5 1.53605- 3 3.00000+ 1 3.00000+ 1 9.17941- 4 1.51808- 3 3.00000+ 1 4.10000+ 1 8.34536- 5 1.54248- 3 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.32810- 3 1.19358- 3 2.40000+ 1 6.06901- 4 1.51741- 3 2.50000+ 1 1.17530- 2 1.51883- 3 3.00000+ 1 6.10111- 4 1.49849- 3 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 4.02369- 6 5.86500- 4 1.60000+ 1 1.80000+ 1 4.96924- 4 6.71460- 4 1.60000+ 1 1.90000+ 1 3.54082- 3 7.22580- 4 1.60000+ 1 2.10000+ 1 5.28313- 3 8.63770- 4 1.60000+ 1 2.20000+ 1 5.85692- 2 8.73060- 4 1.60000+ 1 2.40000+ 1 4.87672- 3 1.04641- 3 1.60000+ 1 2.50000+ 1 1.63663- 2 1.04783- 3 1.60000+ 1 2.70000+ 1 1.40827- 5 9.97600- 4 1.60000+ 1 2.90000+ 1 2.41421- 5 1.02106- 3 1.60000+ 1 3.00000+ 1 2.97761- 4 1.02749- 3 1.60000+ 1 4.10000+ 1 2.01190- 6 1.05189- 3 1.80000+ 1 1.80000+ 1 8.04709- 6 7.56420- 4 1.80000+ 1 1.90000+ 1 8.80571- 3 8.07540- 4 1.80000+ 1 2.10000+ 1 4.84843- 4 9.48730- 4 1.80000+ 1 2.20000+ 1 5.91655- 2 9.58020- 4 1.80000+ 1 2.40000+ 1 2.25131- 3 1.13137- 3 1.80000+ 1 2.50000+ 1 8.13801- 3 1.13279- 3 1.80000+ 1 2.70000+ 1 5.02958- 5 1.08256- 3 1.80000+ 1 2.90000+ 1 4.02365- 6 1.10602- 3 1.80000+ 1 3.00000+ 1 7.34316- 4 1.11245- 3 1.80000+ 1 4.10000+ 1 4.02365- 6 1.13685- 3 1.90000+ 1 1.90000+ 1 6.56831- 3 8.58660- 4 1.90000+ 1 2.10000+ 1 5.55033- 3 9.99850- 4 1.90000+ 1 2.20000+ 1 9.28799- 2 1.00914- 3 1.90000+ 1 2.40000+ 1 3.10411- 3 1.18249- 3 1.90000+ 1 2.50000+ 1 6.85204- 3 1.18391- 3 1.90000+ 1 2.70000+ 1 4.24474- 4 1.13368- 3 1.90000+ 1 2.90000+ 1 7.30254- 4 1.15714- 3 1.90000+ 1 3.00000+ 1 1.13055- 3 1.16357- 3 1.90000+ 1 4.10000+ 1 3.01758- 5 1.18797- 3 2.10000+ 1 2.10000+ 1 1.19298- 3 1.14104- 3 2.10000+ 1 2.20000+ 1 1.22003- 1 1.15033- 3 2.10000+ 1 2.40000+ 1 2.93728- 3 1.32368- 3 2.10000+ 1 2.50000+ 1 3.89672- 2 1.32510- 3 2.10000+ 1 2.70000+ 1 4.18466- 4 1.27487- 3 2.10000+ 1 2.90000+ 1 6.23666- 5 1.29833- 3 2.10000+ 1 3.00000+ 1 4.70763- 4 1.30476- 3 2.10000+ 1 4.10000+ 1 2.81662- 5 1.32916- 3 2.20000+ 1 2.20000+ 1 1.38181- 1 1.15962- 3 2.20000+ 1 2.40000+ 1 6.67157- 2 1.33297- 3 2.20000+ 1 2.50000+ 1 1.01203- 1 1.33439- 3 2.20000+ 1 2.70000+ 1 8.06335- 3 1.28416- 3 2.20000+ 1 2.90000+ 1 6.99514- 3 1.30762- 3 2.20000+ 1 3.00000+ 1 1.05295- 2 1.31405- 3 2.20000+ 1 4.10000+ 1 5.73380- 4 1.33845- 3 2.40000+ 1 2.40000+ 1 3.55904- 3 1.50632- 3 2.40000+ 1 2.50000+ 1 1.12963- 1 1.50774- 3 2.40000+ 1 2.70000+ 1 5.47225- 4 1.45751- 3 2.40000+ 1 2.90000+ 1 2.47463- 4 1.48097- 3 2.40000+ 1 3.00000+ 1 2.75628- 4 1.48740- 3 2.40000+ 1 4.10000+ 1 3.82253- 5 1.51180- 3 2.50000+ 1 2.50000+ 1 7.61237- 2 1.50916- 3 2.50000+ 1 2.70000+ 1 2.31161- 3 1.45893- 3 2.50000+ 1 2.90000+ 1 9.53623- 4 1.48239- 3 2.50000+ 1 3.00000+ 1 7.08170- 4 1.48882- 3 2.50000+ 1 4.10000+ 1 1.68991- 4 1.51322- 3 2.70000+ 1 2.70000+ 1 2.97876- 5 1.40870- 3 2.70000+ 1 2.90000+ 1 2.97876- 5 1.43216- 3 2.70000+ 1 3.00000+ 1 5.65945- 4 1.43859- 3 2.90000+ 1 3.00000+ 1 5.56011- 4 1.46205- 3 3.00000+ 1 3.00000+ 1 8.58058- 4 1.46848- 3 3.00000+ 1 4.10000+ 1 3.43231- 5 1.49288- 3 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.78923- 5 8.49600- 5 1.90000+ 1 1.52063- 4 1.36080- 4 2.90000+ 1 7.63311- 5 4.34560- 4 3.00000+ 1 4.80976- 5 4.40990- 4 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 2.96156- 2 7.38700- 5 1.80000+ 1 2.50000+ 1 4.12834- 2 7.52900- 5 1.80000+ 1 2.70000+ 1 3.57906- 2 2.50600- 5 1.80000+ 1 2.90000+ 1 2.87513- 2 4.85200- 5 1.80000+ 1 3.00000+ 1 5.37838- 2 5.49500- 5 1.80000+ 1 4.10000+ 1 2.46051- 3 7.93500- 5 1.90000+ 1 2.40000+ 1 1.45222- 1 1.24990- 4 1.90000+ 1 2.50000+ 1 1.75847- 1 1.26410- 4 1.90000+ 1 2.70000+ 1 4.23158- 2 7.61800- 5 1.90000+ 1 2.90000+ 1 4.32245- 2 9.96400- 5 1.90000+ 1 3.00000+ 1 5.12723- 2 1.06070- 4 1.90000+ 1 4.10000+ 1 2.94060- 3 1.30470- 4 2.10000+ 1 2.10000+ 1 3.67933- 3 8.35400- 5 2.10000+ 1 2.20000+ 1 1.46701- 2 9.28300- 5 2.10000+ 1 2.40000+ 1 5.01049- 3 2.66180- 4 2.10000+ 1 2.50000+ 1 1.16010- 2 2.67600- 4 2.10000+ 1 2.70000+ 1 1.45080- 2 2.17370- 4 2.10000+ 1 2.90000+ 1 3.07514- 3 2.40830- 4 2.10000+ 1 3.00000+ 1 7.64568- 3 2.47260- 4 2.10000+ 1 4.10000+ 1 8.54900- 4 2.71660- 4 2.20000+ 1 2.20000+ 1 8.47024- 3 1.02120- 4 2.20000+ 1 2.40000+ 1 1.33173- 2 2.75470- 4 2.20000+ 1 2.50000+ 1 1.17236- 2 2.76890- 4 2.20000+ 1 2.70000+ 1 2.08638- 2 2.26660- 4 2.20000+ 1 2.90000+ 1 7.82595- 3 2.50120- 4 2.20000+ 1 3.00000+ 1 7.26602- 3 2.56550- 4 2.20000+ 1 4.10000+ 1 1.22505- 3 2.80950- 4 2.40000+ 1 2.40000+ 1 5.39783- 3 4.48820- 4 2.40000+ 1 2.50000+ 1 1.23971- 2 4.50240- 4 2.40000+ 1 2.70000+ 1 1.31566- 2 4.00010- 4 2.40000+ 1 2.90000+ 1 1.55648- 3 4.23470- 4 2.40000+ 1 3.00000+ 1 4.07065- 3 4.29900- 4 2.40000+ 1 4.10000+ 1 7.14413- 4 4.54300- 4 2.50000+ 1 2.50000+ 1 8.90863- 3 4.51660- 4 2.50000+ 1 2.70000+ 1 1.69025- 2 4.01430- 4 2.50000+ 1 2.90000+ 1 9.38159- 4 4.24890- 4 2.50000+ 1 3.00000+ 1 5.04318- 3 4.31320- 4 2.50000+ 1 4.10000+ 1 9.16445- 4 4.55720- 4 2.70000+ 1 2.70000+ 1 2.32596- 2 3.51200- 4 2.70000+ 1 2.90000+ 1 2.81631- 2 3.74660- 4 2.70000+ 1 3.00000+ 1 4.62640- 2 3.81090- 4 2.70000+ 1 4.10000+ 1 2.95609- 3 4.05490- 4 2.90000+ 1 2.90000+ 1 4.20776- 3 3.98120- 4 2.90000+ 1 3.00000+ 1 1.73982- 2 4.04550- 4 2.90000+ 1 4.10000+ 1 3.05272- 3 4.28950- 4 3.00000+ 1 3.00000+ 1 1.45270- 2 4.10980- 4 3.00000+ 1 4.10000+ 1 5.63058- 3 4.35380- 4 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 5.10008- 4 1.92310- 4 2.70000+ 1 1.15685- 4 3.26140- 4 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 6.37623- 2 4.00300- 5 1.90000+ 1 2.50000+ 1 4.87835- 2 4.14500- 5 1.90000+ 1 2.90000+ 1 9.37766- 3 1.46800- 5 1.90000+ 1 3.00000+ 1 8.76265- 3 2.11100- 5 1.90000+ 1 4.10000+ 1 9.04386- 4 4.55100- 5 2.10000+ 1 2.10000+ 1 2.04607- 2 0.00000+ 0 2.10000+ 1 2.20000+ 1 2.39714- 1 7.87000- 6 2.10000+ 1 2.40000+ 1 9.99961- 2 1.81220- 4 2.10000+ 1 2.50000+ 1 2.08286- 1 1.82640- 4 2.10000+ 1 2.70000+ 1 2.12561- 2 1.32410- 4 2.10000+ 1 2.90000+ 1 1.48812- 2 1.55870- 4 2.10000+ 1 3.00000+ 1 2.44195- 2 1.62300- 4 2.10000+ 1 4.10000+ 1 1.51904- 3 1.86700- 4 2.20000+ 1 2.20000+ 1 1.48240- 2 1.71600- 5 2.20000+ 1 2.40000+ 1 3.63624- 2 1.90510- 4 2.20000+ 1 2.50000+ 1 9.50266- 3 1.91930- 4 2.20000+ 1 2.70000+ 1 4.91378- 3 1.41700- 4 2.20000+ 1 2.90000+ 1 2.00308- 2 1.65160- 4 2.20000+ 1 3.00000+ 1 4.03278- 3 1.71590- 4 2.20000+ 1 4.10000+ 1 3.06054- 4 1.95990- 4 2.40000+ 1 2.40000+ 1 2.90098- 3 3.63860- 4 2.40000+ 1 2.50000+ 1 1.98699- 2 3.65280- 4 2.40000+ 1 2.70000+ 1 3.29096- 3 3.15050- 4 2.40000+ 1 2.90000+ 1 1.26652- 2 3.38510- 4 2.40000+ 1 3.00000+ 1 3.51614- 3 3.44940- 4 2.40000+ 1 4.10000+ 1 2.30926- 4 3.69340- 4 2.50000+ 1 2.50000+ 1 1.13874- 3 3.66700- 4 2.50000+ 1 2.70000+ 1 2.54338- 3 3.16470- 4 2.50000+ 1 2.90000+ 1 2.93102- 2 3.39930- 4 2.50000+ 1 3.00000+ 1 1.96801- 3 3.46360- 4 2.50000+ 1 4.10000+ 1 1.52838- 4 3.70760- 4 2.70000+ 1 2.70000+ 1 4.64334- 4 2.66240- 4 2.70000+ 1 2.90000+ 1 6.95989- 3 2.89700- 4 2.70000+ 1 3.00000+ 1 1.13283- 3 2.96130- 4 2.70000+ 1 4.10000+ 1 5.70850- 5 3.20530- 4 2.90000+ 1 2.90000+ 1 1.51080- 2 3.13160- 4 2.90000+ 1 3.00000+ 1 4.09099- 2 3.19590- 4 2.90000+ 1 4.10000+ 1 1.95833- 3 3.43990- 4 3.00000+ 1 3.00000+ 1 2.65817- 3 3.26020- 4 3.00000+ 1 4.10000+ 1 4.43044- 4 3.50420- 4 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.29604- 5 1.41190- 4 2.20000+ 1 1.43323- 4 1.50480- 4 2.70000+ 1 7.28077- 5 2.75020- 4 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.96994- 2 1.30100- 4 2.10000+ 1 2.50000+ 1 5.61230- 2 1.31520- 4 2.10000+ 1 2.70000+ 1 1.15373- 2 8.12900- 5 2.10000+ 1 2.90000+ 1 8.58666- 3 1.04750- 4 2.10000+ 1 3.00000+ 1 3.10480- 2 1.11180- 4 2.10000+ 1 4.10000+ 1 7.95248- 4 1.35580- 4 2.20000+ 1 2.40000+ 1 2.60101- 1 1.39390- 4 2.20000+ 1 2.50000+ 1 2.71994- 1 1.40810- 4 2.20000+ 1 2.70000+ 1 5.97415- 2 9.05800- 5 2.20000+ 1 2.90000+ 1 5.78397- 2 1.14040- 4 2.20000+ 1 3.00000+ 1 8.02099- 2 1.20470- 4 2.20000+ 1 4.10000+ 1 4.26305- 3 1.44870- 4 2.40000+ 1 2.40000+ 1 8.06318- 4 3.12740- 4 2.40000+ 1 2.50000+ 1 2.23587- 2 3.14160- 4 2.40000+ 1 2.70000+ 1 4.44342- 3 2.63930- 4 2.40000+ 1 2.90000+ 1 1.87594- 3 2.87390- 4 2.40000+ 1 3.00000+ 1 2.65330- 2 2.93820- 4 2.40000+ 1 4.10000+ 1 2.44473- 4 3.18220- 4 2.50000+ 1 2.50000+ 1 9.14347- 3 3.15580- 4 2.50000+ 1 2.70000+ 1 9.29385- 3 2.65350- 4 2.50000+ 1 2.90000+ 1 7.34756- 3 2.88810- 4 2.50000+ 1 3.00000+ 1 3.18180- 2 2.95240- 4 2.50000+ 1 4.10000+ 1 5.62959- 4 3.19640- 4 2.70000+ 1 2.70000+ 1 1.09287- 5 2.15120- 4 2.70000+ 1 2.90000+ 1 3.14406- 4 2.38580- 4 2.70000+ 1 3.00000+ 1 5.95873- 3 2.45010- 4 2.70000+ 1 4.10000+ 1 2.52198- 6 2.69410- 4 2.90000+ 1 2.90000+ 1 2.46034- 5 2.62040- 4 2.90000+ 1 3.00000+ 1 3.89741- 3 2.68470- 4 2.90000+ 1 4.10000+ 1 1.34739- 5 2.92870- 4 3.00000+ 1 3.00000+ 1 1.24345- 2 2.74900- 4 3.00000+ 1 4.10000+ 1 7.48426- 4 2.99300- 4 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 5.18078- 5 1.82640- 4 2.90000+ 1 1.49867- 5 1.57290- 4 3.00000+ 1 2.25223- 6 1.63720- 4 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 2.40000+ 1 3.71627- 2 0.00000+ 0 2.20000+ 1 2.50000+ 1 3.95859- 3 0.00000+ 0 2.20000+ 1 4.10000+ 1 8.16340- 5 3.68000- 6 2.40000+ 1 2.40000+ 1 1.76773- 1 1.71550- 4 2.40000+ 1 2.50000+ 1 5.44377- 1 1.72970- 4 2.40000+ 1 2.70000+ 1 5.78134- 2 1.22740- 4 2.40000+ 1 2.90000+ 1 4.64905- 2 1.46200- 4 2.40000+ 1 3.00000+ 1 6.88675- 2 1.52630- 4 2.40000+ 1 4.10000+ 1 4.18715- 3 1.77030- 4 2.50000+ 1 2.50000+ 1 6.43234- 3 1.74390- 4 2.50000+ 1 2.70000+ 1 6.29285- 3 1.24160- 4 2.50000+ 1 2.90000+ 1 1.57366- 2 1.47620- 4 2.50000+ 1 3.00000+ 1 5.09632- 3 1.54050- 4 2.50000+ 1 4.10000+ 1 3.84792- 4 1.78450- 4 2.70000+ 1 2.70000+ 1 2.16970- 3 7.39300- 5 2.70000+ 1 2.90000+ 1 2.16236- 3 9.73900- 5 2.70000+ 1 3.00000+ 1 2.44743- 3 1.03820- 4 2.70000+ 1 4.10000+ 1 1.76599- 4 1.28220- 4 2.90000+ 1 2.90000+ 1 3.19355- 3 1.20850- 4 2.90000+ 1 3.00000+ 1 9.25101- 3 1.27280- 4 2.90000+ 1 4.10000+ 1 3.77418- 4 1.51680- 4 3.00000+ 1 3.00000+ 1 5.99319- 3 1.33710- 4 3.00000+ 1 4.10000+ 1 5.05496- 4 1.58110- 4 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.51291- 6 1.73350- 4 2.50000+ 1 5.17482- 5 1.74770- 4 3.00000+ 1 1.49541- 5 1.54430- 4 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 1.16724- 2 1.62260- 4 2.40000+ 1 2.50000+ 1 4.33584- 1 1.63680- 4 2.40000+ 1 2.70000+ 1 8.38948- 3 1.13450- 4 2.40000+ 1 2.90000+ 1 4.58888- 3 1.36910- 4 2.40000+ 1 3.00000+ 1 1.44973- 2 1.43340- 4 2.40000+ 1 4.10000+ 1 5.50098- 4 1.67740- 4 2.50000+ 1 2.50000+ 1 3.14890- 1 1.65100- 4 2.50000+ 1 2.70000+ 1 6.29519- 2 1.14870- 4 2.50000+ 1 2.90000+ 1 6.08117- 2 1.38330- 4 2.50000+ 1 3.00000+ 1 7.25656- 2 1.44760- 4 2.50000+ 1 4.10000+ 1 4.56280- 3 1.69160- 4 2.70000+ 1 2.70000+ 1 2.37571- 3 6.46400- 5 2.70000+ 1 2.90000+ 1 1.28945- 3 8.81000- 5 2.70000+ 1 3.00000+ 1 3.21248- 3 9.45300- 5 2.70000+ 1 4.10000+ 1 1.88393- 4 1.18930- 4 2.90000+ 1 2.90000+ 1 2.52797- 4 1.11560- 4 2.90000+ 1 3.00000+ 1 2.18367- 3 1.17990- 4 2.90000+ 1 4.10000+ 1 5.18417- 5 1.42390- 4 3.00000+ 1 3.00000+ 1 1.18671- 3 1.24420- 4 3.00000+ 1 4.10000+ 1 1.24996- 4 1.48820- 4 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 2.27962- 7 2.34600- 5 3.00000+ 1 9.57647- 7 2.98900- 5 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 4.16753- 1 1.78500- 5 3.00000+ 1 4.10000+ 1 5.75874- 1 2.42800- 5 4.10000+ 1 4.10000+ 1 7.37165- 3 4.86800- 5 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 4.10000+ 1 1.74679- 9 3.08300- 5 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 4.10000+ 1 9.97476- 1 8.20000- 7 4.10000+ 1 4.10000+ 1 2.52359- 3 2.52200- 5 1 70000 0 7 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 4.10000+ 1 4.68890-10 2.44000- 5 1 70000 0 9 1.73040+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 4.10000+ 1 4.10000+ 1 1.00000+ 0 1.87900- 5 1 71000 0 0 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000- 1 3.30000+ 1 6.00000- 1 4.10000+ 1 2.00000+ 0 1 71000 0 0 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.34420- 2 3.00000+ 0 1.08450- 2 5.00000+ 0 1.03730- 2 6.00000+ 0 9.24320- 3 8.00000+ 0 2.47050- 3 1.00000+ 1 2.25800- 3 1.10000+ 1 2.01610- 3 1.30000+ 1 1.65080- 3 1.40000+ 1 1.59780- 3 1.60000+ 1 4.97850- 4 1.80000+ 1 4.10190- 4 1.90000+ 1 3.55050- 4 2.10000+ 1 2.09380- 4 2.20000+ 1 1.99320- 4 2.40000+ 1 1.89600- 5 2.50000+ 1 1.73200- 5 2.70000+ 1 6.63400- 5 2.90000+ 1 4.15200- 5 3.00000+ 1 3.42200- 5 3.20000+ 1 4.45000- 6 3.30000+ 1 4.03000- 6 4.10000+ 1 6.33000- 6 1 71000 0 0 1.74967+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.50490- 2 3.00000+ 0 1.97900- 2 5.00000+ 0 1.97870- 2 6.00000+ 0 1.55390- 2 8.00000+ 0 6.22290- 3 1.00000+ 1 6.12700- 3 1.10000+ 1 5.09990- 3 1.30000+ 1 4.96290- 3 1.40000+ 1 4.73090- 3 1.60000+ 1 1.96530- 3 1.80000+ 1 1.85640- 3 1.90000+ 1 1.55350- 3 2.10000+ 1 1.34910- 3 2.20000+ 1 1.28370- 3 2.40000+ 1 8.47770- 4 2.50000+ 1 8.24210- 4 2.70000+ 1 4.03040- 4 2.90000+ 1 3.20300- 4 3.00000+ 1 2.58460- 4 3.20000+ 1 9.03100- 5 3.30000+ 1 8.09100- 5 4.10000+ 1 4.08400- 5 1 71000 0 0 1.74967+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.02100-10 3.00000+ 0 4.28640-10 5.00000+ 0 3.55230-10 6.00000+ 0 3.95430-10 8.00000+ 0 1.11750- 9 1.00000+ 1 1.06270- 9 1.10000+ 1 1.13720- 9 1.30000+ 1 9.97060-10 1.40000+ 1 1.01980- 9 1.60000+ 1 2.51430- 9 1.80000+ 1 2.54750- 9 1.90000+ 1 2.71820- 9 2.10000+ 1 2.83020- 9 2.20000+ 1 2.88920- 9 2.40000+ 1 3.59320- 9 2.50000+ 1 3.65890- 9 2.70000+ 1 6.10900- 9 2.90000+ 1 6.80800- 9 3.00000+ 1 7.37950- 9 3.20000+ 1 1.30870- 8 3.30000+ 1 1.38900- 8 4.10000+ 1 1.91030- 8 1 71000 0 0 1.74967+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.14500- 5 3.00000+ 0 6.53630- 7 5.00000+ 0 1.13000- 6 6.00000+ 0 1.01510- 6 8.00000+ 0 2.15370- 8 1.00000+ 1 2.25080- 8 1.10000+ 1 2.34490- 8 1.30000+ 1 2.52330- 8 1.40000+ 1 2.36840- 8 1.60000+ 1 5.80100-10 1.80000+ 1 1.09900- 9 1.90000+ 1 6.81960-10 2.10000+ 1 8.95890-10 2.20000+ 1 8.01280-10 2.70000+ 1 2.76050-11 2.90000+ 1 5.34810-12 3.00000+ 1 4.21250-12 1 71000 0 0 1.74967+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.65700- 6 3.00000+ 0 7.98280- 6 5.00000+ 0 3.19050- 6 6.00000+ 0 3.23240- 6 8.00000+ 0 1.85540- 5 1.00000+ 1 1.06310- 5 1.10000+ 1 1.08850- 5 1.30000+ 1 2.42120- 6 1.40000+ 1 1.40920- 6 1.60000+ 1 1.40110- 5 1.80000+ 1 1.65080- 5 1.90000+ 1 9.82980- 6 2.10000+ 1 6.42020- 6 2.20000+ 1 6.19500- 6 2.70000+ 1 5.29250- 6 2.90000+ 1 5.61890- 7 3.00000+ 1 2.13010- 7 1 71000 0 0 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.21810- 4 3.00000+ 0 1.63132- 4 5.00000+ 0 1.27016- 4 6.00000+ 0 1.21220- 4 8.00000+ 0 1.15041- 4 1.00000+ 1 9.70705- 5 1.10000+ 1 8.99278- 5 1.30000+ 1 6.61920- 5 1.40000+ 1 6.28537- 5 1.60000+ 1 6.00192- 5 1.80000+ 1 5.57666- 5 1.90000+ 1 4.99816- 5 2.10000+ 1 3.62730- 5 2.20000+ 1 3.52411- 5 2.40000+ 1 1.89600- 5 2.50000+ 1 1.73200- 5 2.70000+ 1 2.15637- 5 2.90000+ 1 1.89740- 5 3.00000+ 1 1.26600- 5 3.20000+ 1 4.45000- 6 3.30000+ 1 4.03000- 6 4.10000+ 1 6.33000- 6 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.18546+ 0 3.00000+ 0 2.77609- 1 5.00000+ 0 3.15045- 1 6.00000+ 0 2.56863- 1 8.00000+ 0 1.82400- 2 1.00000+ 1 1.83320- 2 1.10000+ 1 1.74268- 2 1.30000+ 1 1.78543- 2 1.40000+ 1 1.69146- 2 1.60000+ 1 6.24427- 4 1.80000+ 1 7.93179- 4 1.90000+ 1 3.17607- 4 2.10000+ 1 8.45390- 5 2.20000+ 1 8.10090- 5 2.70000+ 1 1.51094- 6 2.90000+ 1 1.12006- 8 3.00000+ 1 2.37378- 9 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.44080- 2 3.00000+ 0 2.08128- 3 5.00000+ 0 2.58485- 3 6.00000+ 0 1.84101- 3 8.00000+ 0 2.90030- 5 1.00000+ 1 2.88433- 5 1.10000+ 1 2.70915- 5 1.30000+ 1 2.75505- 5 1.40000+ 1 2.56662- 5 1.60000+ 1 1.50575- 7 1.80000+ 1 1.75512- 7 1.90000+ 1 6.17874- 8 2.10000+ 1 1.56506- 8 2.20000+ 1 1.44452- 8 2.70000+ 1 4.65073-11 2.90000+ 1 3.90158-13 3.00000+ 1 6.90467-14 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.67394+ 0 3.00000+ 0 1.06423+ 1 5.00000+ 0 8.01334+ 0 6.00000+ 0 7.59203+ 0 8.00000+ 0 7.34959+ 0 1.00000+ 1 5.96549+ 0 1.10000+ 1 5.44726+ 0 1.30000+ 1 3.55396+ 0 1.40000+ 1 3.40412+ 0 1.60000+ 1 4.29170+ 0 1.80000+ 1 3.21487+ 0 1.90000+ 1 2.82556+ 0 2.10000+ 1 1.43858+ 0 2.20000+ 1 1.42889+ 0 2.70000+ 1 2.40659+ 0 2.90000+ 1 1.99748+ 0 3.00000+ 1 1.00000+ 0 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.91217- 3 3.00000+ 0 8.60059- 3 5.00000+ 0 7.66113- 3 6.00000+ 0 7.28097- 3 8.00000+ 0 2.32646- 3 1.00000+ 1 2.13209- 3 1.10000+ 1 1.89908- 3 1.30000+ 1 1.55706- 3 1.40000+ 1 1.50928- 3 1.60000+ 1 4.37680- 4 1.80000+ 1 3.54248- 4 1.90000+ 1 3.05007- 4 2.10000+ 1 1.73091- 4 2.20000+ 1 1.64064- 4 2.70000+ 1 4.47762- 5 2.90000+ 1 2.25460- 5 3.00000+ 1 2.15600- 5 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.74342- 1 5.30690- 2 6.00000+ 0 4.81734- 1 5.41988- 2 1.00000+ 1 5.10464- 2 6.11840- 2 1.10000+ 1 9.86287- 2 6.14259- 2 1.30000+ 1 1.00211- 3 6.17912- 2 1.40000+ 1 1.28131- 3 6.18442- 2 1.80000+ 1 1.14131- 2 6.30318- 2 1.90000+ 1 2.20662- 2 6.30869- 2 2.10000+ 1 2.33342- 4 6.32326- 2 2.20000+ 1 2.96732- 4 6.32427- 2 2.90000+ 1 2.57262- 3 6.34005- 2 3.00000+ 1 5.33144- 3 6.34078- 2 3.20000+ 1 1.05901- 6 6.34375- 2 3.30000+ 1 1.25461- 6 6.34380- 2 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.83935- 3 4.17520- 2 3.00000+ 0 5.00000+ 0 6.75048- 3 4.22240- 2 3.00000+ 0 6.00000+ 0 5.17904- 3 4.33538- 2 3.00000+ 0 8.00000+ 0 1.88984- 3 5.01265- 2 3.00000+ 0 1.00000+ 1 1.42236- 3 5.03390- 2 3.00000+ 0 1.10000+ 1 1.14647- 3 5.05809- 2 3.00000+ 0 1.30000+ 1 9.02420- 5 5.09462- 2 3.00000+ 0 1.40000+ 1 7.87364- 5 5.09992- 2 3.00000+ 0 1.60000+ 1 4.50467- 4 5.20991- 2 3.00000+ 0 1.80000+ 1 3.27690- 4 5.21868- 2 3.00000+ 0 1.90000+ 1 2.61361- 4 5.22419- 2 3.00000+ 0 2.10000+ 1 2.08753- 5 5.23876- 2 3.00000+ 0 2.20000+ 1 1.79175- 5 5.23977- 2 3.00000+ 0 2.40000+ 1 8.21894- 8 5.25780- 2 3.00000+ 0 2.50000+ 1 8.21894- 8 5.25797- 2 3.00000+ 0 2.70000+ 1 7.29006- 5 5.25307- 2 3.00000+ 0 2.90000+ 1 4.29026- 5 5.25555- 2 3.00000+ 0 3.00000+ 1 3.23010- 5 5.25628- 2 3.00000+ 0 3.20000+ 1 1.64375- 7 5.25925- 2 3.00000+ 0 4.10000+ 1 5.91771- 6 5.25907- 2 5.00000+ 0 5.00000+ 0 5.17678- 4 4.26960- 2 5.00000+ 0 6.00000+ 0 9.90709- 3 4.38258- 2 5.00000+ 0 8.00000+ 0 1.12121- 3 5.05985- 2 5.00000+ 0 1.00000+ 1 1.91905- 4 5.08110- 2 5.00000+ 0 1.10000+ 1 1.82295- 3 5.10529- 2 5.00000+ 0 1.30000+ 1 9.70589- 5 5.14182- 2 5.00000+ 0 1.40000+ 1 2.85097- 4 5.14712- 2 5.00000+ 0 1.60000+ 1 2.57728- 4 5.25711- 2 5.00000+ 0 1.80000+ 1 4.30634- 5 5.26588- 2 5.00000+ 0 1.90000+ 1 3.99347- 4 5.27139- 2 5.00000+ 0 2.10000+ 1 2.17792- 5 5.28596- 2 5.00000+ 0 2.20000+ 1 6.36937- 5 5.28697- 2 5.00000+ 0 2.40000+ 1 4.10916- 7 5.30500- 2 5.00000+ 0 2.50000+ 1 6.57505- 7 5.30517- 2 5.00000+ 0 2.70000+ 1 4.13386- 5 5.30027- 2 5.00000+ 0 2.90000+ 1 5.58864- 6 5.30275- 2 5.00000+ 0 3.00000+ 1 4.89830- 5 5.30348- 2 5.00000+ 0 3.20000+ 1 1.64367- 7 5.30645- 2 5.00000+ 0 4.10000+ 1 3.36942- 6 5.30627- 2 6.00000+ 0 6.00000+ 0 4.52282- 3 4.49556- 2 6.00000+ 0 8.00000+ 0 8.03170- 4 5.17283- 2 6.00000+ 0 1.00000+ 1 1.71455- 3 5.19408- 2 6.00000+ 0 1.10000+ 1 1.71755- 3 5.21827- 2 6.00000+ 0 1.30000+ 1 3.26139- 4 5.25480- 2 6.00000+ 0 1.40000+ 1 2.83078- 4 5.26010- 2 6.00000+ 0 1.60000+ 1 1.81735- 4 5.37009- 2 6.00000+ 0 1.80000+ 1 3.79239- 4 5.37886- 2 6.00000+ 0 1.90000+ 1 3.79329- 4 5.38437- 2 6.00000+ 0 2.10000+ 1 7.36458- 5 5.39894- 2 6.00000+ 0 2.20000+ 1 6.34545- 5 5.39995- 2 6.00000+ 0 2.40000+ 1 7.39757- 7 5.41798- 2 6.00000+ 0 2.50000+ 1 8.21941- 7 5.41815- 2 6.00000+ 0 2.70000+ 1 2.90968- 5 5.41325- 2 6.00000+ 0 2.90000+ 1 4.92333- 5 5.41573- 2 6.00000+ 0 3.00000+ 1 4.65203- 5 5.41646- 2 6.00000+ 0 3.20000+ 1 5.75335- 7 5.41943- 2 6.00000+ 0 4.10000+ 1 2.38356- 6 5.41925- 2 8.00000+ 0 8.00000+ 0 1.81554- 4 5.85010- 2 8.00000+ 0 1.00000+ 1 2.37612- 4 5.87135- 2 8.00000+ 0 1.10000+ 1 1.79584- 4 5.89554- 2 8.00000+ 0 1.30000+ 1 1.36436- 5 5.93207- 2 8.00000+ 0 1.40000+ 1 1.12597- 5 5.93737- 2 8.00000+ 0 1.60000+ 1 8.62981- 5 6.04736- 2 8.00000+ 0 1.80000+ 1 5.48232- 5 6.05613- 2 8.00000+ 0 1.90000+ 1 4.10116- 5 6.06164- 2 8.00000+ 0 2.10000+ 1 3.12320- 6 6.07621- 2 8.00000+ 0 2.20000+ 1 2.54781- 6 6.07722- 2 8.00000+ 0 2.70000+ 1 1.39716- 5 6.09052- 2 8.00000+ 0 2.90000+ 1 7.15036- 6 6.09300- 2 8.00000+ 0 3.00000+ 1 5.09593- 6 6.09373- 2 8.00000+ 0 4.10000+ 1 1.15066- 6 6.09652- 2 1.00000+ 1 1.00000+ 1 1.72595- 5 5.89260- 2 1.00000+ 1 1.10000+ 1 3.23010- 4 5.91679- 2 1.00000+ 1 1.30000+ 1 1.39716- 5 5.95332- 2 1.00000+ 1 1.40000+ 1 3.77257- 5 5.95862- 2 1.00000+ 1 1.60000+ 1 5.46532- 5 6.06861- 2 1.00000+ 1 1.80000+ 1 7.72592- 6 6.07738- 2 1.00000+ 1 1.90000+ 1 7.10935- 5 6.08289- 2 1.00000+ 1 2.10000+ 1 3.12320- 6 6.09746- 2 1.00000+ 1 2.20000+ 1 8.46571- 6 6.09847- 2 1.00000+ 1 2.40000+ 1 8.21892- 8 6.11650- 2 1.00000+ 1 2.50000+ 1 8.21892- 8 6.11667- 2 1.00000+ 1 2.70000+ 1 8.79399- 6 6.11177- 2 1.00000+ 1 2.90000+ 1 9.86247- 7 6.11425- 2 1.00000+ 1 3.00000+ 1 8.71190- 6 6.11498- 2 1.00000+ 1 4.10000+ 1 7.39713- 7 6.11777- 2 1.10000+ 1 1.10000+ 1 1.64294- 4 5.94098- 2 1.10000+ 1 1.30000+ 1 4.92300- 5 5.97751- 2 1.10000+ 1 1.40000+ 1 4.15033- 5 5.98281- 2 1.10000+ 1 1.60000+ 1 4.07673- 5 6.09280- 2 1.10000+ 1 1.80000+ 1 7.17490- 5 6.10157- 2 1.10000+ 1 1.90000+ 1 7.26550- 5 6.10708- 2 1.10000+ 1 2.10000+ 1 1.11776- 5 6.12165- 2 1.10000+ 1 2.20000+ 1 9.36951- 6 6.12266- 2 1.10000+ 1 2.40000+ 1 8.21886- 8 6.14069- 2 1.10000+ 1 2.50000+ 1 8.21886- 8 6.14086- 2 1.10000+ 1 2.70000+ 1 6.49273- 6 6.13596- 2 1.10000+ 1 2.90000+ 1 9.28741- 6 6.13844- 2 1.10000+ 1 3.00000+ 1 8.95852- 6 6.13917- 2 1.10000+ 1 3.20000+ 1 8.21886- 8 6.14214- 2 1.10000+ 1 4.10000+ 1 4.93120- 7 6.14196- 2 1.30000+ 1 1.30000+ 1 8.38555- 8 6.01404- 2 1.30000+ 1 1.40000+ 1 6.12144- 6 6.01934- 2 1.30000+ 1 1.60000+ 1 3.18652- 6 6.12933- 2 1.30000+ 1 1.80000+ 1 3.01879- 6 6.13810- 2 1.30000+ 1 1.90000+ 1 1.05656- 5 6.14361- 2 1.30000+ 1 2.20000+ 1 1.34172- 6 6.15919- 2 1.30000+ 1 2.70000+ 1 5.03121- 7 6.17249- 2 1.30000+ 1 2.90000+ 1 4.19267- 7 6.17497- 2 1.30000+ 1 3.00000+ 1 1.25786- 6 6.17570- 2 1.40000+ 1 1.40000+ 1 1.39717- 6 6.02464- 2 1.40000+ 1 1.60000+ 1 2.54784- 6 6.13463- 2 1.40000+ 1 1.80000+ 1 7.89021- 6 6.14340- 2 1.40000+ 1 1.90000+ 1 8.62991- 6 6.14891- 2 1.40000+ 1 2.10000+ 1 1.31507- 6 6.16348- 2 1.40000+ 1 2.20000+ 1 5.75307- 7 6.16449- 2 1.40000+ 1 2.70000+ 1 4.10941- 7 6.17779- 2 1.40000+ 1 2.90000+ 1 9.86258- 7 6.18027- 2 1.40000+ 1 3.00000+ 1 1.06848- 6 6.18100- 2 1.60000+ 1 1.60000+ 1 1.04935- 5 6.24463- 2 1.60000+ 1 1.80000+ 1 1.29275- 5 6.25340- 2 1.60000+ 1 1.90000+ 1 9.48624- 6 6.25891- 2 1.60000+ 1 2.10000+ 1 7.55544- 7 6.27348- 2 1.60000+ 1 2.20000+ 1 5.87613- 7 6.27448- 2 1.60000+ 1 2.70000+ 1 3.35785- 6 6.28778- 2 1.60000+ 1 2.90000+ 1 1.67893- 6 6.29026- 2 1.60000+ 1 3.00000+ 1 1.17529- 6 6.29099- 2 1.60000+ 1 4.10000+ 1 2.51848- 7 6.29378- 2 1.80000+ 1 1.80000+ 1 8.21888- 7 6.26216- 2 1.80000+ 1 1.90000+ 1 1.57804- 5 6.26768- 2 1.80000+ 1 2.10000+ 1 6.57534- 7 6.28224- 2 1.80000+ 1 2.20000+ 1 1.80813- 6 6.28325- 2 1.80000+ 1 2.70000+ 1 2.05472- 6 6.29655- 2 1.80000+ 1 2.90000+ 1 2.46570- 7 6.29903- 2 1.80000+ 1 3.00000+ 1 1.97253- 6 6.29976- 2 1.80000+ 1 4.10000+ 1 1.64374- 7 6.30255- 2 1.90000+ 1 1.90000+ 1 7.94242- 6 6.27319- 2 1.90000+ 1 2.10000+ 1 2.35033- 6 6.28776- 2 1.90000+ 1 2.20000+ 1 1.94516- 6 6.28876- 2 1.90000+ 1 2.70000+ 1 1.45882- 6 6.30206- 2 1.90000+ 1 2.90000+ 1 2.02620- 6 6.30454- 2 1.90000+ 1 3.00000+ 1 1.94516- 6 6.30527- 2 1.90000+ 1 4.10000+ 1 8.10483- 8 6.30806- 2 2.10000+ 1 2.20000+ 1 2.90088- 7 6.30333- 2 2.10000+ 1 2.70000+ 1 9.66947- 8 6.31663- 2 2.10000+ 1 2.90000+ 1 9.66947- 8 6.31911- 2 2.10000+ 1 3.00000+ 1 2.90088- 7 6.31984- 2 2.20000+ 1 2.20000+ 1 9.03747- 8 6.30434- 2 2.20000+ 1 2.70000+ 1 9.03747- 8 6.31763- 2 2.20000+ 1 2.90000+ 1 2.71128- 7 6.32012- 2 2.20000+ 1 3.00000+ 1 2.71128- 7 6.32085- 2 2.70000+ 1 2.70000+ 1 3.37006- 7 6.33093- 2 2.70000+ 1 2.90000+ 1 3.37006- 7 6.33341- 2 2.70000+ 1 3.00000+ 1 2.24662- 7 6.33414- 2 2.70000+ 1 4.10000+ 1 1.12334- 7 6.33693- 2 2.90000+ 1 3.00000+ 1 2.87272- 7 6.33663- 2 3.00000+ 1 3.00000+ 1 9.63517- 8 6.33736- 2 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.34019- 5 4.72000- 4 6.00000+ 0 1.21929- 3 1.60180- 3 1.00000+ 1 2.35998- 2 8.58700- 3 1.10000+ 1 3.08577- 2 8.82890- 3 1.30000+ 1 6.27204- 4 9.19420- 3 1.40000+ 1 9.39171- 4 9.24720- 3 1.80000+ 1 5.69505- 3 1.04348- 2 1.90000+ 1 7.82273- 3 1.04899- 2 2.10000+ 1 8.62942- 5 1.06356- 2 2.20000+ 1 1.34019- 4 1.06457- 2 2.90000+ 1 7.79353- 4 1.08035- 2 3.00000+ 1 1.02859- 3 1.08108- 2 3.20000+ 1 3.62767- 7 1.08405- 2 3.30000+ 1 5.28895- 7 1.08410- 2 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.80000+ 1 2.27738- 2 6.18100- 5 5.00000+ 0 1.90000+ 1 2.42903- 2 1.16950- 4 5.00000+ 0 2.10000+ 1 6.57268- 3 2.62620- 4 5.00000+ 0 2.20000+ 1 9.45989- 3 2.72680- 4 5.00000+ 0 2.40000+ 1 1.72795- 2 4.53040- 4 5.00000+ 0 2.50000+ 1 2.24800- 2 4.54680- 4 5.00000+ 0 2.70000+ 1 4.57764- 3 4.05660- 4 5.00000+ 0 2.90000+ 1 2.82481- 3 4.30480- 4 5.00000+ 0 3.00000+ 1 2.87938- 3 4.37780- 4 5.00000+ 0 3.20000+ 1 5.37210- 5 4.67550- 4 5.00000+ 0 4.10000+ 1 3.67203- 4 4.65670- 4 6.00000+ 0 1.40000+ 1 3.88680- 1 4.00000- 6 6.00000+ 0 1.60000+ 1 2.97648- 2 1.10395- 3 6.00000+ 0 1.80000+ 1 1.22616- 2 1.19161- 3 6.00000+ 0 1.90000+ 1 2.01331- 2 1.24675- 3 6.00000+ 0 2.10000+ 1 3.87667- 2 1.39242- 3 6.00000+ 0 2.20000+ 1 4.74164- 2 1.40248- 3 6.00000+ 0 2.40000+ 1 2.49705- 2 1.58284- 3 6.00000+ 0 2.50000+ 1 3.12422- 2 1.58448- 3 6.00000+ 0 2.70000+ 1 4.61748- 3 1.53546- 3 6.00000+ 0 2.90000+ 1 1.56176- 3 1.56028- 3 6.00000+ 0 3.00000+ 1 2.45322- 3 1.56758- 3 6.00000+ 0 3.20000+ 1 2.94840- 4 1.59735- 3 6.00000+ 0 4.10000+ 1 3.71950- 4 1.59547- 3 8.00000+ 0 8.00000+ 0 6.93787- 3 5.90400- 3 8.00000+ 0 1.00000+ 1 1.40577- 2 6.11650- 3 8.00000+ 0 1.10000+ 1 2.40009- 2 6.35840- 3 8.00000+ 0 1.30000+ 1 1.84911- 2 6.72370- 3 8.00000+ 0 1.40000+ 1 2.48364- 2 6.77670- 3 8.00000+ 0 1.60000+ 1 2.80673- 3 7.87665- 3 8.00000+ 0 1.80000+ 1 3.18056- 3 7.96431- 3 8.00000+ 0 1.90000+ 1 5.32949- 3 8.01945- 3 8.00000+ 0 2.10000+ 1 3.56192- 3 8.16512- 3 8.00000+ 0 2.20000+ 1 4.73167- 3 8.17518- 3 8.00000+ 0 2.40000+ 1 2.00358- 4 8.35554- 3 8.00000+ 0 2.50000+ 1 2.28804- 4 8.35718- 3 8.00000+ 0 2.70000+ 1 4.42755- 4 8.30816- 3 8.00000+ 0 2.90000+ 1 4.14309- 4 8.33298- 3 8.00000+ 0 3.00000+ 1 6.54487- 4 8.34028- 3 8.00000+ 0 3.20000+ 1 2.81274- 5 8.37005- 3 8.00000+ 0 4.10000+ 1 3.57115- 5 8.36817- 3 1.00000+ 1 1.00000+ 1 4.29768- 5 6.32900- 3 1.00000+ 1 1.10000+ 1 3.52357- 4 6.57090- 3 1.00000+ 1 1.30000+ 1 7.78955- 4 6.93620- 3 1.00000+ 1 1.40000+ 1 7.52437- 3 6.98920- 3 1.00000+ 1 1.60000+ 1 2.24557- 3 8.08915- 3 1.00000+ 1 1.80000+ 1 7.26820- 6 8.17681- 3 1.00000+ 1 1.90000+ 1 7.07854- 5 8.23195- 3 1.00000+ 1 2.10000+ 1 1.40628- 4 8.37762- 3 1.00000+ 1 2.20000+ 1 9.20226- 4 8.38768- 3 1.00000+ 1 2.40000+ 1 7.11013- 5 8.56804- 3 1.00000+ 1 2.50000+ 1 2.47435- 4 8.56968- 3 1.00000+ 1 2.70000+ 1 3.35918- 4 8.52066- 3 1.00000+ 1 2.90000+ 1 6.32009- 7 8.54548- 3 1.00000+ 1 3.00000+ 1 8.53227- 6 8.55278- 3 1.00000+ 1 3.20000+ 1 1.26396- 6 8.58255- 3 1.00000+ 1 4.10000+ 1 2.68598- 5 8.58067- 3 1.10000+ 1 1.10000+ 1 6.31418- 4 6.81280- 3 1.10000+ 1 1.30000+ 1 3.39846- 3 7.17810- 3 1.10000+ 1 1.40000+ 1 2.15682- 3 7.23110- 3 1.10000+ 1 1.60000+ 1 3.80901- 3 8.33105- 3 1.10000+ 1 1.80000+ 1 7.58461- 5 8.41871- 3 1.10000+ 1 1.90000+ 1 2.07618- 4 8.47385- 3 1.10000+ 1 2.10000+ 1 3.00538- 4 8.61952- 3 1.10000+ 1 2.20000+ 1 1.84868- 4 8.62958- 3 1.10000+ 1 2.40000+ 1 1.64005- 4 8.80994- 3 1.10000+ 1 2.50000+ 1 1.33985- 4 8.81158- 3 1.10000+ 1 2.70000+ 1 5.69470- 4 8.76256- 3 1.10000+ 1 2.90000+ 1 9.79691- 6 8.78738- 3 1.10000+ 1 3.00000+ 1 2.43336- 5 8.79468- 3 1.10000+ 1 3.20000+ 1 2.21208- 6 8.82445- 3 1.10000+ 1 4.10000+ 1 4.55065- 5 8.82257- 3 1.30000+ 1 1.30000+ 1 1.09334- 3 7.54340- 3 1.30000+ 1 1.40000+ 1 3.48373- 2 7.59640- 3 1.30000+ 1 1.60000+ 1 2.72587- 3 8.69635- 3 1.30000+ 1 1.80000+ 1 2.19310- 4 8.78401- 3 1.30000+ 1 1.90000+ 1 8.17192- 4 8.83915- 3 1.30000+ 1 2.10000+ 1 4.12703- 4 8.98482- 3 1.30000+ 1 2.20000+ 1 4.68127- 3 8.99488- 3 1.30000+ 1 2.40000+ 1 2.27846- 4 9.17524- 3 1.30000+ 1 2.50000+ 1 6.32956- 4 9.17688- 3 1.30000+ 1 2.70000+ 1 4.02272- 4 9.12786- 3 1.30000+ 1 2.90000+ 1 2.97040- 5 9.15268- 3 1.30000+ 1 3.00000+ 1 1.01441- 4 9.15998- 3 1.30000+ 1 3.20000+ 1 3.16006- 6 9.18975- 3 1.30000+ 1 4.10000+ 1 3.22325- 5 9.18787- 3 1.40000+ 1 1.40000+ 1 9.73886- 3 7.64940- 3 1.40000+ 1 1.60000+ 1 3.70301- 3 8.74935- 3 1.40000+ 1 1.80000+ 1 1.52253- 3 8.83701- 3 1.40000+ 1 1.90000+ 1 5.42904- 4 8.89215- 3 1.40000+ 1 2.10000+ 1 4.59225- 3 9.03782- 3 1.40000+ 1 2.20000+ 1 2.75930- 3 9.04788- 3 1.40000+ 1 2.40000+ 1 7.07543- 4 9.22824- 3 1.40000+ 1 2.50000+ 1 5.38471- 4 9.22988- 3 1.40000+ 1 2.70000+ 1 5.48591- 4 9.18086- 3 1.40000+ 1 2.90000+ 1 1.94669- 4 9.20568- 3 1.40000+ 1 3.00000+ 1 6.79410- 5 9.21298- 3 1.40000+ 1 3.20000+ 1 3.47613- 5 9.24275- 3 1.40000+ 1 4.10000+ 1 4.39246- 5 9.24087- 3 1.60000+ 1 1.60000+ 1 2.67978- 4 9.84930- 3 1.60000+ 1 1.80000+ 1 5.09728- 4 9.93696- 3 1.60000+ 1 1.90000+ 1 8.48488- 4 9.99210- 3 1.60000+ 1 2.10000+ 1 5.24893- 4 1.01378- 2 1.60000+ 1 2.20000+ 1 7.01851- 4 1.01478- 2 1.60000+ 1 2.40000+ 1 2.43325- 5 1.03282- 2 1.60000+ 1 2.50000+ 1 2.68600- 5 1.03298- 2 1.60000+ 1 2.70000+ 1 8.37424- 5 1.02808- 2 1.60000+ 1 2.90000+ 1 6.63617- 5 1.03056- 2 1.60000+ 1 3.00000+ 1 1.04291- 4 1.03129- 2 1.60000+ 1 3.20000+ 1 4.10814- 6 1.03427- 2 1.60000+ 1 4.10000+ 1 6.63617- 6 1.03408- 2 1.80000+ 1 1.80000+ 1 3.16007- 7 1.00246- 2 1.80000+ 1 1.90000+ 1 1.54840- 5 1.00798- 2 1.80000+ 1 2.10000+ 1 3.41293- 5 1.02254- 2 1.80000+ 1 2.20000+ 1 1.93083- 4 1.02355- 2 1.80000+ 1 2.40000+ 1 9.48024- 6 1.04158- 2 1.80000+ 1 2.50000+ 1 3.72897- 5 1.04175- 2 1.80000+ 1 2.70000+ 1 7.61580- 5 1.03685- 2 1.80000+ 1 3.00000+ 1 1.89593- 6 1.04006- 2 1.80000+ 1 3.20000+ 1 3.16007- 7 1.04304- 2 1.80000+ 1 4.10000+ 1 6.00401- 6 1.04285- 2 1.90000+ 1 1.90000+ 1 1.67489- 5 1.01349- 2 1.90000+ 1 2.10000+ 1 8.08981- 5 1.02806- 2 1.90000+ 1 2.20000+ 1 5.34051- 5 1.02906- 2 1.90000+ 1 2.40000+ 1 2.93896- 5 1.04710- 2 1.90000+ 1 2.50000+ 1 2.33847- 5 1.04726- 2 1.90000+ 1 2.70000+ 1 1.26718- 4 1.04236- 2 1.90000+ 1 2.90000+ 1 1.89595- 6 1.04484- 2 1.90000+ 1 3.00000+ 1 3.79210- 6 1.04557- 2 1.90000+ 1 3.20000+ 1 6.32014- 7 1.04855- 2 1.90000+ 1 4.10000+ 1 1.01121- 5 1.04836- 2 2.10000+ 1 2.10000+ 1 3.63398- 5 1.04262- 2 2.10000+ 1 2.20000+ 1 6.71824- 4 1.04363- 2 2.10000+ 1 2.40000+ 1 2.97041- 5 1.06167- 2 2.10000+ 1 2.50000+ 1 6.38335- 5 1.06183- 2 2.10000+ 1 2.70000+ 1 7.74218- 5 1.05693- 2 2.10000+ 1 2.90000+ 1 4.42403- 6 1.05941- 2 2.10000+ 1 3.00000+ 1 1.01120- 5 1.06014- 2 2.10000+ 1 3.20000+ 1 6.32007- 7 1.06312- 2 2.10000+ 1 4.10000+ 1 6.32007- 6 1.06293- 2 2.20000+ 1 2.20000+ 1 2.08882- 4 1.04464- 2 2.20000+ 1 2.40000+ 1 7.39462- 5 1.06267- 2 2.20000+ 1 2.50000+ 1 6.28853- 5 1.06284- 2 2.20000+ 1 2.70000+ 1 1.03649- 4 1.05793- 2 2.20000+ 1 2.90000+ 1 2.49643- 5 1.06042- 2 2.20000+ 1 3.00000+ 1 6.63616- 6 1.06115- 2 2.20000+ 1 3.20000+ 1 5.05605- 6 1.06412- 2 2.20000+ 1 4.10000+ 1 8.21626- 6 1.06393- 2 2.40000+ 1 2.40000+ 1 1.00141- 6 1.08071- 2 2.40000+ 1 2.50000+ 1 1.60224- 5 1.08087- 2 2.40000+ 1 2.70000+ 1 5.50787- 6 1.07597- 2 2.40000+ 1 2.90000+ 1 2.00273- 6 1.07845- 2 2.40000+ 1 3.00000+ 1 5.50787- 6 1.07918- 2 2.40000+ 1 3.20000+ 1 5.00711- 7 1.08216- 2 2.40000+ 1 4.10000+ 1 5.00711- 7 1.08197- 2 2.50000+ 1 2.50000+ 1 3.31248- 6 1.08104- 2 2.50000+ 1 2.70000+ 1 5.67872- 6 1.07613- 2 2.50000+ 1 2.90000+ 1 6.62511- 6 1.07862- 2 2.50000+ 1 3.00000+ 1 4.25903- 6 1.07935- 2 2.50000+ 1 3.20000+ 1 4.73230- 7 1.08232- 2 2.50000+ 1 4.10000+ 1 4.73230- 7 1.08213- 2 2.70000+ 1 2.70000+ 1 2.29433- 5 1.07123- 2 2.70000+ 1 2.90000+ 1 3.38695- 5 1.07371- 2 2.70000+ 1 3.00000+ 1 5.35334- 5 1.07444- 2 2.70000+ 1 3.20000+ 1 2.18506- 6 1.07742- 2 2.70000+ 1 4.10000+ 1 3.27765- 6 1.07723- 2 2.90000+ 1 3.00000+ 1 1.87588- 6 1.07693- 2 2.90000+ 1 4.10000+ 1 5.62765- 6 1.07971- 2 3.00000+ 1 3.00000+ 1 7.81029- 7 1.07766- 2 3.00000+ 1 4.10000+ 1 3.12393- 6 1.08044- 2 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.94851- 6 1.12980- 3 8.00000+ 0 6.18993- 3 7.90250- 3 1.10000+ 1 1.70411- 4 8.35690- 3 1.30000+ 1 2.09871- 1 8.72220- 3 1.60000+ 1 1.40901- 3 9.87515- 3 1.90000+ 1 4.27942- 5 1.00179- 2 2.10000+ 1 3.77672- 2 1.01636- 2 2.40000+ 1 7.76734- 5 1.03540- 2 2.70000+ 1 2.61991- 4 1.03067- 2 3.00000+ 1 9.24335- 6 1.03388- 2 3.20000+ 1 1.65551- 4 1.03685- 2 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 7.29771- 3 6.31950- 4 6.00000+ 0 1.80000+ 1 4.39535- 2 7.19610- 4 6.00000+ 0 1.90000+ 1 1.35955- 2 7.74750- 4 6.00000+ 0 2.10000+ 1 5.03050- 2 9.20420- 4 6.00000+ 0 2.20000+ 1 1.77446- 2 9.30480- 4 6.00000+ 0 2.40000+ 1 1.36932- 3 1.11084- 3 6.00000+ 0 2.50000+ 1 2.07587- 3 1.11248- 3 6.00000+ 0 2.70000+ 1 1.08139- 3 1.06346- 3 6.00000+ 0 2.90000+ 1 5.35942- 3 1.08828- 3 6.00000+ 0 3.00000+ 1 1.64395- 3 1.09558- 3 6.00000+ 0 3.20000+ 1 3.87531- 4 1.12535- 3 6.00000+ 0 4.10000+ 1 8.68907- 5 1.12347- 3 8.00000+ 0 8.00000+ 0 7.55441- 4 5.43200- 3 8.00000+ 0 1.00000+ 1 2.25759- 2 5.64450- 3 8.00000+ 0 1.10000+ 1 2.17935- 3 5.88640- 3 8.00000+ 0 1.30000+ 1 2.70133- 3 6.25170- 3 8.00000+ 0 1.40000+ 1 2.51804- 3 6.30470- 3 8.00000+ 0 1.60000+ 1 2.79086- 4 7.40465- 3 8.00000+ 0 1.80000+ 1 3.40146- 3 7.49231- 3 8.00000+ 0 1.90000+ 1 4.31288- 4 7.54745- 3 8.00000+ 0 2.10000+ 1 3.69774- 4 7.69312- 3 8.00000+ 0 2.20000+ 1 2.93023- 4 7.70318- 3 8.00000+ 0 2.40000+ 1 7.73811- 5 7.88354- 3 8.00000+ 0 2.50000+ 1 5.13759- 5 7.88518- 3 8.00000+ 0 2.70000+ 1 4.31288- 5 7.83616- 3 8.00000+ 0 2.90000+ 1 4.12899- 4 7.86098- 3 8.00000+ 0 3.00000+ 1 5.20104- 5 7.86828- 3 8.00000+ 0 3.20000+ 1 2.53697- 6 7.89805- 3 8.00000+ 0 4.10000+ 1 3.17124- 6 7.89617- 3 1.00000+ 1 1.00000+ 1 2.30656- 2 5.85700- 3 1.00000+ 1 1.10000+ 1 6.46418- 2 6.09890- 3 1.00000+ 1 1.30000+ 1 3.43069- 2 6.46420- 3 1.00000+ 1 1.40000+ 1 5.32687- 2 6.51720- 3 1.00000+ 1 1.60000+ 1 5.49969- 3 7.61715- 3 1.00000+ 1 1.80000+ 1 8.83067- 3 7.70481- 3 1.00000+ 1 1.90000+ 1 1.41046- 2 7.75995- 3 1.00000+ 1 2.10000+ 1 6.60659- 3 7.90562- 3 1.00000+ 1 2.20000+ 1 1.01970- 2 7.91568- 3 1.00000+ 1 2.40000+ 1 3.55820- 4 8.09604- 3 1.00000+ 1 2.50000+ 1 3.26663- 4 8.09768- 3 1.00000+ 1 2.70000+ 1 8.92443- 4 8.04866- 3 1.00000+ 1 2.90000+ 1 1.12272- 3 8.07348- 3 1.00000+ 1 3.00000+ 1 1.72708- 3 8.08078- 3 1.00000+ 1 3.20000+ 1 5.26443- 5 8.11055- 3 1.00000+ 1 4.10000+ 1 7.23059- 5 8.10867- 3 1.10000+ 1 1.10000+ 1 1.59132- 3 6.34080- 3 1.10000+ 1 1.30000+ 1 3.56703- 2 6.70610- 3 1.10000+ 1 1.40000+ 1 4.96740- 3 6.75910- 3 1.10000+ 1 1.60000+ 1 4.49678- 4 7.85905- 3 1.10000+ 1 1.80000+ 1 1.00280- 2 7.94671- 3 1.10000+ 1 1.90000+ 1 5.91124- 4 8.00185- 3 1.10000+ 1 2.10000+ 1 5.78586- 3 8.14752- 3 1.10000+ 1 2.20000+ 1 7.64293- 4 8.15758- 3 1.10000+ 1 2.40000+ 1 1.83301- 4 8.33794- 3 1.10000+ 1 2.50000+ 1 1.00214- 4 8.33958- 3 1.10000+ 1 2.70000+ 1 7.04028- 5 8.29056- 3 1.10000+ 1 2.90000+ 1 1.22232- 3 8.31538- 3 1.10000+ 1 3.00000+ 1 7.04028- 5 8.32268- 3 1.10000+ 1 3.20000+ 1 4.50333- 5 8.35245- 3 1.10000+ 1 4.10000+ 1 5.70841- 6 8.35057- 3 1.30000+ 1 1.30000+ 1 3.33889- 2 7.07140- 3 1.30000+ 1 1.40000+ 1 1.37099- 1 7.12440- 3 1.30000+ 1 1.60000+ 1 6.60927- 4 8.22435- 3 1.30000+ 1 1.80000+ 1 5.23396- 3 8.31201- 3 1.30000+ 1 1.90000+ 1 7.26681- 3 8.36715- 3 1.30000+ 1 2.10000+ 1 1.07580- 2 8.51282- 3 1.30000+ 1 2.20000+ 1 2.37084- 2 8.52288- 3 1.30000+ 1 2.40000+ 1 1.36747- 3 8.70324- 3 1.30000+ 1 2.50000+ 1 2.77761- 3 8.70488- 3 1.30000+ 1 2.70000+ 1 1.07822- 4 8.65586- 3 1.30000+ 1 2.90000+ 1 6.40625- 4 8.68068- 3 1.30000+ 1 3.00000+ 1 8.79139- 4 8.68798- 3 1.30000+ 1 3.20000+ 1 8.37263- 5 8.71775- 3 1.30000+ 1 4.10000+ 1 8.87991- 6 8.71587- 3 1.40000+ 1 1.40000+ 1 6.60464- 3 7.17740- 3 1.40000+ 1 1.60000+ 1 5.00431- 4 8.27735- 3 1.40000+ 1 1.80000+ 1 7.18997- 3 8.36501- 3 1.40000+ 1 1.90000+ 1 9.27895- 4 8.42015- 3 1.40000+ 1 2.10000+ 1 1.82705- 2 8.56582- 3 1.40000+ 1 2.20000+ 1 2.07338- 3 8.57588- 3 1.40000+ 1 2.40000+ 1 5.51168- 4 8.75624- 3 1.40000+ 1 2.50000+ 1 2.11840- 4 8.75788- 3 1.40000+ 1 2.70000+ 1 7.80127- 5 8.70886- 3 1.40000+ 1 2.90000+ 1 8.54349- 4 8.73368- 3 1.40000+ 1 3.00000+ 1 1.10367- 4 8.74098- 3 1.40000+ 1 3.20000+ 1 1.38263- 4 8.77075- 3 1.40000+ 1 4.10000+ 1 6.34271- 6 8.76887- 3 1.60000+ 1 1.60000+ 1 2.47360- 5 9.37730- 3 1.60000+ 1 1.80000+ 1 8.33457- 4 9.46496- 3 1.60000+ 1 1.90000+ 1 8.94284- 5 9.52010- 3 1.60000+ 1 2.10000+ 1 8.75251- 5 9.66577- 3 1.60000+ 1 2.20000+ 1 5.89862- 5 9.67583- 3 1.60000+ 1 2.40000+ 1 1.64912- 5 9.85619- 3 1.60000+ 1 2.50000+ 1 8.87970- 6 9.85783- 3 1.60000+ 1 2.70000+ 1 7.61097- 6 9.80881- 3 1.60000+ 1 2.90000+ 1 1.00841- 4 9.83363- 3 1.60000+ 1 3.00000+ 1 1.07820- 5 9.84093- 3 1.60000+ 1 3.20000+ 1 6.34275- 7 9.87070- 3 1.60000+ 1 4.10000+ 1 6.34275- 7 9.86882- 3 1.80000+ 1 1.80000+ 1 8.04224- 4 9.55262- 3 1.80000+ 1 1.90000+ 1 2.19130- 3 9.60776- 3 1.80000+ 1 2.10000+ 1 9.91327- 4 9.75343- 3 1.80000+ 1 2.20000+ 1 1.38837- 3 9.76349- 3 1.80000+ 1 2.40000+ 1 4.37627- 5 9.94385- 3 1.80000+ 1 2.50000+ 1 3.36164- 5 9.94549- 3 1.80000+ 1 2.70000+ 1 1.35100- 4 9.89647- 3 1.80000+ 1 2.90000+ 1 2.02957- 4 9.92129- 3 1.80000+ 1 3.00000+ 1 2.68286- 4 9.92859- 3 1.80000+ 1 3.20000+ 1 7.61090- 6 9.95836- 3 1.80000+ 1 4.10000+ 1 1.07819- 5 9.95648- 3 1.90000+ 1 1.90000+ 1 5.51790- 5 9.66290- 3 1.90000+ 1 2.10000+ 1 1.18796- 3 9.80857- 3 1.90000+ 1 2.20000+ 1 1.45887- 4 9.81863- 3 1.90000+ 1 2.40000+ 1 3.04440- 5 9.99899- 3 1.90000+ 1 2.50000+ 1 1.58566- 5 1.00006- 2 1.90000+ 1 2.70000+ 1 1.39541- 5 9.95161- 3 1.90000+ 1 2.90000+ 1 2.67027- 4 9.97643- 3 1.90000+ 1 3.00000+ 1 1.33197- 5 9.98373- 3 1.90000+ 1 3.20000+ 1 9.51398- 6 1.00135- 2 1.90000+ 1 4.10000+ 1 1.26852- 6 1.00116- 2 2.10000+ 1 2.10000+ 1 8.56216- 4 9.95424- 3 2.10000+ 1 2.20000+ 1 3.28295- 3 9.96430- 3 2.10000+ 1 2.40000+ 1 1.51590- 4 1.01447- 2 2.10000+ 1 2.50000+ 1 3.12695- 4 1.01463- 2 2.10000+ 1 2.70000+ 1 1.39544- 5 1.00973- 2 2.10000+ 1 2.90000+ 1 1.21145- 4 1.01221- 2 2.10000+ 1 3.00000+ 1 1.43986- 4 1.01294- 2 2.10000+ 1 3.20000+ 1 1.33200- 5 1.01592- 2 2.10000+ 1 4.10000+ 1 1.26855- 6 1.01573- 2 2.20000+ 1 2.20000+ 1 2.44985- 4 9.97436- 3 2.20000+ 1 2.40000+ 1 9.83703- 5 1.01547- 2 2.20000+ 1 2.50000+ 1 3.87795- 5 1.01564- 2 2.20000+ 1 2.70000+ 1 1.41882- 5 1.01073- 2 2.20000+ 1 2.90000+ 1 2.45932- 4 1.01322- 2 2.20000+ 1 3.00000+ 1 2.64839- 5 1.01395- 2 2.20000+ 1 3.20000+ 1 3.68886- 5 1.01692- 2 2.20000+ 1 4.10000+ 1 9.45887- 7 1.01673- 2 2.40000+ 1 2.40000+ 1 3.61626- 6 1.03351- 2 2.40000+ 1 2.50000+ 1 2.35071- 5 1.03367- 2 2.40000+ 1 2.70000+ 1 3.61626- 6 1.02877- 2 2.40000+ 1 2.90000+ 1 7.23295- 6 1.03125- 2 2.40000+ 1 3.00000+ 1 5.42446- 6 1.03198- 2 2.40000+ 1 3.20000+ 1 1.80821- 6 1.03496- 2 2.50000+ 1 2.50000+ 1 2.73736- 6 1.03384- 2 2.50000+ 1 2.70000+ 1 2.73736- 6 1.02893- 2 2.50000+ 1 2.90000+ 1 8.21186- 6 1.03142- 2 2.50000+ 1 3.00000+ 1 4.10605- 6 1.03215- 2 2.50000+ 1 3.20000+ 1 5.47449- 6 1.03512- 2 2.70000+ 1 2.70000+ 1 1.13864- 6 1.02403- 2 2.70000+ 1 2.90000+ 1 2.96047- 5 1.02651- 2 2.70000+ 1 3.00000+ 1 3.41586- 6 1.02724- 2 2.90000+ 1 2.90000+ 1 2.74336- 5 1.02900- 2 2.90000+ 1 3.00000+ 1 7.13302- 5 1.02973- 2 2.90000+ 1 3.20000+ 1 2.74336- 6 1.03270- 2 2.90000+ 1 4.10000+ 1 2.74336- 6 1.03251- 2 3.00000+ 1 3.00000+ 1 6.34275- 7 1.03046- 2 3.00000+ 1 3.20000+ 1 1.26853- 6 1.03343- 2 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.15589- 2 6.77270- 3 1.00000+ 1 9.20152- 5 6.98520- 3 1.10000+ 1 8.36613- 5 7.22710- 3 1.30000+ 1 1.87928- 2 7.59240- 3 1.40000+ 1 1.65949- 1 7.64540- 3 1.60000+ 1 1.96038- 3 8.74535- 3 1.80000+ 1 1.80548- 5 8.83301- 3 1.90000+ 1 1.76278- 5 8.88815- 3 2.10000+ 1 3.19057- 3 9.03382- 3 2.20000+ 1 2.85578- 2 9.04388- 3 2.40000+ 1 1.13799- 5 9.22424- 3 2.50000+ 1 6.38564- 5 9.22588- 3 2.70000+ 1 3.87897- 4 9.17686- 3 2.90000+ 1 3.96377- 6 9.20168- 3 3.00000+ 1 3.59747- 6 9.20898- 3 3.20000+ 1 1.38889- 5 9.23875- 3 3.30000+ 1 1.16159- 4 9.23917- 3 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 1.00060- 3 4.30220- 3 8.00000+ 0 1.00000+ 1 5.84685- 4 4.51470- 3 8.00000+ 0 1.10000+ 1 2.44855- 2 4.75660- 3 8.00000+ 0 1.30000+ 1 2.67319- 3 5.12190- 3 8.00000+ 0 1.40000+ 1 3.71785- 3 5.17490- 3 8.00000+ 0 1.60000+ 1 3.71261- 4 6.27485- 3 8.00000+ 0 1.80000+ 1 1.02842- 4 6.36251- 3 8.00000+ 0 1.90000+ 1 3.62537- 3 6.41765- 3 8.00000+ 0 2.10000+ 1 2.50327- 4 6.56332- 3 8.00000+ 0 2.20000+ 1 3.12409- 4 6.57338- 3 8.00000+ 0 2.40000+ 1 1.30010- 4 6.75374- 3 8.00000+ 0 2.50000+ 1 2.34789- 4 6.75538- 3 8.00000+ 0 2.70000+ 1 5.75659- 5 6.70636- 3 8.00000+ 0 2.90000+ 1 1.29353- 5 6.73118- 3 8.00000+ 0 3.00000+ 1 4.15875- 4 6.73848- 3 8.00000+ 0 3.20000+ 1 1.94040- 6 6.76825- 3 8.00000+ 0 4.10000+ 1 4.52747- 6 6.76637- 3 1.00000+ 1 1.00000+ 1 1.28071- 4 4.72720- 3 1.00000+ 1 1.10000+ 1 4.10785- 2 4.96910- 3 1.00000+ 1 1.30000+ 1 2.25671- 3 5.33440- 3 1.00000+ 1 1.40000+ 1 2.00238- 2 5.38740- 3 1.00000+ 1 1.60000+ 1 1.17076- 4 6.48735- 3 1.00000+ 1 1.80000+ 1 4.91555- 5 6.57501- 3 1.00000+ 1 1.90000+ 1 6.31397- 3 6.63015- 3 1.00000+ 1 2.10000+ 1 3.93248- 4 6.77582- 3 1.00000+ 1 2.20000+ 1 2.91892- 3 6.78588- 3 1.00000+ 1 2.40000+ 1 1.39066- 4 6.96624- 3 1.00000+ 1 2.50000+ 1 3.62848- 4 6.96788- 3 1.00000+ 1 2.70000+ 1 1.87578- 5 6.91886- 3 1.00000+ 1 2.90000+ 1 6.46795- 6 6.94368- 3 1.00000+ 1 3.00000+ 1 7.28281- 4 6.95098- 3 1.00000+ 1 3.20000+ 1 3.23392- 6 6.98075- 3 1.00000+ 1 4.10000+ 1 1.29353- 6 6.97887- 3 1.10000+ 1 1.10000+ 1 5.44048- 2 5.21100- 3 1.10000+ 1 1.30000+ 1 5.66249- 2 5.57630- 3 1.10000+ 1 1.40000+ 1 8.06369- 2 5.62930- 3 1.10000+ 1 1.60000+ 1 5.88593- 3 6.72925- 3 1.10000+ 1 1.80000+ 1 8.80517- 3 6.81691- 3 1.10000+ 1 1.90000+ 1 2.01209- 2 6.87205- 3 1.10000+ 1 2.10000+ 1 1.03599- 2 7.01772- 3 1.10000+ 1 2.20000+ 1 1.44801- 2 7.02778- 3 1.10000+ 1 2.40000+ 1 5.94418- 4 7.20814- 3 1.10000+ 1 2.50000+ 1 7.50941- 4 7.20978- 3 1.10000+ 1 2.70000+ 1 9.52735- 4 7.16076- 3 1.10000+ 1 2.90000+ 1 1.13775- 3 7.18558- 3 1.10000+ 1 3.00000+ 1 2.40483- 3 7.19288- 3 1.10000+ 1 3.20000+ 1 8.14971- 5 7.22265- 3 1.10000+ 1 4.10000+ 1 7.69720- 5 7.22077- 3 1.30000+ 1 1.30000+ 1 8.11661- 3 5.94160- 3 1.30000+ 1 1.40000+ 1 1.53149- 1 5.99460- 3 1.30000+ 1 1.60000+ 1 6.14453- 4 7.09455- 3 1.30000+ 1 1.80000+ 1 4.91553- 4 7.18221- 3 1.30000+ 1 1.90000+ 1 8.01212- 3 7.23735- 3 1.30000+ 1 2.10000+ 1 2.56634- 3 7.38302- 3 1.30000+ 1 2.20000+ 1 2.03236- 2 7.39308- 3 1.30000+ 1 2.40000+ 1 3.34396- 4 7.57344- 3 1.30000+ 1 2.50000+ 1 1.13834- 3 7.57508- 3 1.30000+ 1 2.70000+ 1 9.89606- 5 7.52606- 3 1.30000+ 1 2.90000+ 1 6.33837- 5 7.55088- 3 1.30000+ 1 3.00000+ 1 9.11311- 4 7.55818- 3 1.30000+ 1 3.20000+ 1 2.00500- 5 7.58795- 3 1.30000+ 1 4.10000+ 1 7.76163- 6 7.58607- 3 1.40000+ 1 1.40000+ 1 1.02830- 1 6.04760- 3 1.40000+ 1 1.60000+ 1 8.88732- 4 7.14755- 3 1.40000+ 1 1.80000+ 1 3.93884- 3 7.23521- 3 1.40000+ 1 1.90000+ 1 1.28768- 2 7.29035- 3 1.40000+ 1 2.10000+ 1 2.45025- 2 7.43602- 3 1.40000+ 1 2.20000+ 1 3.09864- 2 7.44608- 3 1.40000+ 1 2.40000+ 1 3.56266- 3 7.62644- 3 1.40000+ 1 2.50000+ 1 3.24180- 3 7.62808- 3 1.40000+ 1 2.70000+ 1 1.44235- 4 7.57906- 3 1.40000+ 1 2.90000+ 1 5.01259- 4 7.60388- 3 1.40000+ 1 3.00000+ 1 1.50313- 3 7.61118- 3 1.40000+ 1 3.20000+ 1 1.90153- 4 7.64095- 3 1.40000+ 1 4.10000+ 1 1.16430- 5 7.63907- 3 1.60000+ 1 1.60000+ 1 3.49269- 5 8.24750- 3 1.60000+ 1 1.80000+ 1 2.13439- 5 8.33516- 3 1.60000+ 1 1.90000+ 1 8.72492- 4 8.39030- 3 1.60000+ 1 2.10000+ 1 6.27361- 5 8.53597- 3 1.60000+ 1 2.20000+ 1 8.14944- 5 8.54603- 3 1.60000+ 1 2.40000+ 1 1.87573- 5 8.72639- 3 1.60000+ 1 2.50000+ 1 3.75125- 5 8.72803- 3 1.60000+ 1 2.70000+ 1 1.09955- 5 8.67901- 3 1.60000+ 1 2.90000+ 1 2.58708- 6 8.70383- 3 1.60000+ 1 3.00000+ 1 1.00250- 4 8.71113- 3 1.60000+ 1 3.20000+ 1 6.46777- 7 8.74090- 3 1.60000+ 1 4.10000+ 1 6.46777- 7 8.73902- 3 1.80000+ 1 1.80000+ 1 3.88061- 6 8.42282- 3 1.80000+ 1 1.90000+ 1 1.34857- 3 8.47796- 3 1.80000+ 1 2.10000+ 1 8.21434- 5 8.62363- 3 1.80000+ 1 2.20000+ 1 6.01527- 4 8.63369- 3 1.80000+ 1 2.40000+ 1 2.00502- 5 8.81405- 3 1.80000+ 1 2.50000+ 1 4.91559- 5 8.81569- 3 1.80000+ 1 2.70000+ 1 3.23395- 6 8.76667- 3 1.80000+ 1 2.90000+ 1 6.46800- 7 8.79149- 3 1.80000+ 1 3.00000+ 1 1.55231- 4 8.79879- 3 1.80000+ 1 3.20000+ 1 6.46800- 7 8.82856- 3 1.90000+ 1 1.90000+ 1 1.79022- 3 8.53310- 3 1.90000+ 1 2.10000+ 1 1.47081- 3 8.67877- 3 1.90000+ 1 2.20000+ 1 2.28076- 3 8.68883- 3 1.90000+ 1 2.40000+ 1 6.93290- 5 8.86919- 3 1.90000+ 1 2.50000+ 1 9.26564- 5 8.87083- 3 1.90000+ 1 2.70000+ 1 1.41903- 4 8.82181- 3 1.90000+ 1 2.90000+ 1 1.74298- 4 8.84663- 3 1.90000+ 1 3.00000+ 1 4.25050- 4 8.85393- 3 1.90000+ 1 3.20000+ 1 1.16638- 5 8.88370- 3 1.90000+ 1 4.10000+ 1 1.16638- 5 8.88182- 3 2.10000+ 1 2.10000+ 1 1.95978- 4 8.82444- 3 2.10000+ 1 2.20000+ 1 3.37811- 3 8.83450- 3 2.10000+ 1 2.40000+ 1 3.62214- 5 9.01486- 3 2.10000+ 1 2.50000+ 1 1.17713- 4 9.01650- 3 2.10000+ 1 2.70000+ 1 1.03487- 5 8.96748- 3 2.10000+ 1 2.90000+ 1 1.03487- 5 8.99230- 3 2.10000+ 1 3.00000+ 1 1.66871- 4 8.99960- 3 2.10000+ 1 3.20000+ 1 3.23393- 6 9.02937- 3 2.10000+ 1 4.10000+ 1 6.46797- 7 9.02749- 3 2.20000+ 1 2.20000+ 1 2.77024- 3 8.84456- 3 2.20000+ 1 2.40000+ 1 4.42466- 4 9.02492- 3 2.20000+ 1 2.50000+ 1 3.97399- 4 9.02656- 3 2.20000+ 1 2.70000+ 1 1.60479- 5 8.97754- 3 2.20000+ 1 2.90000+ 1 9.09434- 5 9.00236- 3 2.20000+ 1 3.00000+ 1 3.13312- 4 9.00966- 3 2.20000+ 1 3.20000+ 1 3.13312- 5 9.03943- 3 2.20000+ 1 4.10000+ 1 1.52833- 6 9.03755- 3 2.40000+ 1 2.40000+ 1 1.16602- 6 9.20528- 3 2.40000+ 1 2.50000+ 1 4.89719- 5 9.20692- 3 2.40000+ 1 2.70000+ 1 4.66402- 6 9.15790- 3 2.40000+ 1 2.90000+ 1 4.66402- 6 9.18272- 3 2.40000+ 1 3.00000+ 1 1.39924- 5 9.19002- 3 2.50000+ 1 2.50000+ 1 1.17304- 5 9.20856- 3 2.50000+ 1 2.70000+ 1 7.03837- 6 9.15954- 3 2.50000+ 1 2.90000+ 1 7.03837- 6 9.18436- 3 2.50000+ 1 3.00000+ 1 1.25125- 5 9.19166- 3 2.50000+ 1 3.20000+ 1 7.82038- 7 9.22143- 3 2.50000+ 1 4.10000+ 1 7.82038- 7 9.21955- 3 2.70000+ 1 2.70000+ 1 1.34649- 6 9.11052- 3 2.70000+ 1 2.90000+ 1 1.34649- 6 9.13534- 3 2.70000+ 1 3.00000+ 1 3.36607- 5 9.14264- 3 2.90000+ 1 3.00000+ 1 6.37794- 5 9.16746- 3 3.00000+ 1 3.00000+ 1 1.26395- 4 9.17476- 3 3.00000+ 1 3.20000+ 1 6.48167- 6 9.20453- 3 3.00000+ 1 4.10000+ 1 6.48167- 6 9.20265- 3 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.00911- 5 2.12500- 4 1.10000+ 1 2.01681- 4 4.54400- 4 1.80000+ 1 7.86231- 4 2.06031- 3 1.90000+ 1 7.97299- 4 2.11545- 3 2.90000+ 1 1.75210- 4 2.42898- 3 3.00000+ 1 1.69293- 4 2.43628- 3 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 4.00386- 2 3.12000- 6 1.00000+ 1 2.20000+ 1 7.48074- 2 1.31800- 5 1.00000+ 1 2.40000+ 1 3.60470- 2 1.93540- 4 1.00000+ 1 2.50000+ 1 4.80385- 2 1.95180- 4 1.00000+ 1 2.70000+ 1 8.13315- 3 1.46160- 4 1.00000+ 1 2.90000+ 1 6.93780- 3 1.70980- 4 1.00000+ 1 3.00000+ 1 9.85240- 3 1.78280- 4 1.00000+ 1 3.20000+ 1 1.73651- 4 2.08050- 4 1.00000+ 1 3.30000+ 1 2.20073- 4 2.08470- 4 1.00000+ 1 4.10000+ 1 6.45548- 4 2.06170- 4 1.10000+ 1 1.80000+ 1 6.16514- 2 4.42100- 5 1.10000+ 1 1.90000+ 1 7.54024- 2 9.93500- 5 1.10000+ 1 2.10000+ 1 3.03607- 2 2.45020- 4 1.10000+ 1 2.20000+ 1 4.42791- 2 2.55080- 4 1.10000+ 1 2.40000+ 1 1.22419- 1 4.35440- 4 1.10000+ 1 2.50000+ 1 1.52456- 1 4.37080- 4 1.10000+ 1 2.70000+ 1 8.72953- 3 3.88060- 4 1.10000+ 1 2.90000+ 1 7.42917- 3 4.12880- 4 1.10000+ 1 3.00000+ 1 9.04778- 3 4.20180- 4 1.10000+ 1 3.20000+ 1 8.61998- 5 4.49950- 4 1.10000+ 1 3.30000+ 1 1.18636- 4 4.50370- 4 1.10000+ 1 4.10000+ 1 7.03297- 4 4.48070- 4 1.30000+ 1 1.60000+ 1 2.40328- 2 3.21850- 4 1.30000+ 1 1.80000+ 1 5.32631- 3 4.09510- 4 1.30000+ 1 1.90000+ 1 5.19803- 3 4.64650- 4 1.30000+ 1 2.10000+ 1 7.93194- 3 6.10320- 4 1.30000+ 1 2.20000+ 1 9.91475- 3 6.20380- 4 1.30000+ 1 2.40000+ 1 6.28476- 3 8.00740- 4 1.30000+ 1 2.50000+ 1 5.82649- 3 8.02380- 4 1.30000+ 1 2.70000+ 1 2.59940- 3 7.53360- 4 1.30000+ 1 2.90000+ 1 5.44911- 4 7.78180- 4 1.30000+ 1 3.00000+ 1 4.95309- 4 7.85480- 4 1.30000+ 1 3.20000+ 1 2.20346- 5 8.15250- 4 1.30000+ 1 3.30000+ 1 2.63316- 5 8.15670- 4 1.30000+ 1 4.10000+ 1 2.02049- 4 8.13370- 4 1.40000+ 1 1.60000+ 1 3.41319- 2 3.74850- 4 1.40000+ 1 1.80000+ 1 1.03489- 3 4.62510- 4 1.40000+ 1 1.90000+ 1 1.01882- 2 5.17650- 4 1.40000+ 1 2.10000+ 1 1.08787- 2 6.63320- 4 1.40000+ 1 2.20000+ 1 1.60234- 2 6.73380- 4 1.40000+ 1 2.40000+ 1 7.14257- 3 8.53740- 4 1.40000+ 1 2.50000+ 1 1.11068- 2 8.55380- 4 1.40000+ 1 2.70000+ 1 3.67203- 3 8.06360- 4 1.40000+ 1 2.90000+ 1 1.10868- 4 8.31180- 4 1.40000+ 1 3.00000+ 1 9.67445- 4 8.38480- 4 1.40000+ 1 3.20000+ 1 3.21519- 5 8.68250- 4 1.40000+ 1 3.30000+ 1 4.14375- 5 8.68670- 4 1.40000+ 1 4.10000+ 1 2.84792- 4 8.66370- 4 1.60000+ 1 1.60000+ 1 3.65846- 3 1.47480- 3 1.60000+ 1 1.80000+ 1 6.23538- 3 1.56246- 3 1.60000+ 1 1.90000+ 1 1.07631- 2 1.61760- 3 1.60000+ 1 2.10000+ 1 1.18735- 2 1.76327- 3 1.60000+ 1 2.20000+ 1 1.69243- 2 1.77333- 3 1.60000+ 1 2.40000+ 1 6.24588- 3 1.95369- 3 1.60000+ 1 2.50000+ 1 7.84340- 3 1.95533- 3 1.60000+ 1 2.70000+ 1 9.83058- 4 1.90631- 3 1.60000+ 1 2.90000+ 1 8.09728- 4 1.93113- 3 1.60000+ 1 3.00000+ 1 1.31712- 3 1.93843- 3 1.60000+ 1 3.20000+ 1 3.78687- 5 1.96820- 3 1.60000+ 1 3.30000+ 1 4.86441- 5 1.96862- 3 1.60000+ 1 4.10000+ 1 7.88166- 5 1.96632- 3 1.80000+ 1 1.80000+ 1 2.87280- 4 1.65012- 3 1.80000+ 1 1.90000+ 1 7.64126- 4 1.70526- 3 1.80000+ 1 2.10000+ 1 4.25399- 4 1.85093- 3 1.80000+ 1 2.20000+ 1 2.39750- 4 1.86099- 3 1.80000+ 1 2.40000+ 1 7.41390- 5 2.04135- 3 1.80000+ 1 2.50000+ 1 4.33784- 4 2.04299- 3 1.80000+ 1 2.70000+ 1 6.42148- 4 1.99397- 3 1.80000+ 1 2.90000+ 1 5.85947- 5 2.01879- 3 1.80000+ 1 3.00000+ 1 7.26453- 5 2.02609- 3 1.80000+ 1 3.20000+ 1 1.19574- 6 2.05586- 3 1.80000+ 1 3.30000+ 1 8.96838- 7 2.05628- 3 1.80000+ 1 4.10000+ 1 4.99254- 5 2.05398- 3 1.90000+ 1 1.90000+ 1 9.63817- 4 1.76040- 3 1.90000+ 1 2.10000+ 1 7.04005- 4 1.90607- 3 1.90000+ 1 2.20000+ 1 1.67828- 3 1.91613- 3 1.90000+ 1 2.40000+ 1 4.74418- 4 2.09649- 3 1.90000+ 1 2.50000+ 1 8.84288- 4 2.09813- 3 1.90000+ 1 2.70000+ 1 1.11269- 3 2.04911- 3 1.90000+ 1 2.90000+ 1 8.43024- 5 2.07393- 3 1.90000+ 1 3.00000+ 1 1.99996- 4 2.08123- 3 1.90000+ 1 3.20000+ 1 2.39159- 6 2.11100- 3 1.90000+ 1 3.30000+ 1 4.78316- 6 2.11142- 3 1.90000+ 1 4.10000+ 1 8.66943- 5 2.10912- 3 2.10000+ 1 2.10000+ 1 1.36295- 4 2.05174- 3 2.10000+ 1 2.20000+ 1 6.47977- 4 2.06180- 3 2.10000+ 1 2.40000+ 1 4.43676- 4 2.24216- 3 2.10000+ 1 2.50000+ 1 3.24476- 3 2.24380- 3 2.10000+ 1 2.70000+ 1 1.25251- 3 2.19478- 3 2.10000+ 1 2.90000+ 1 4.09848- 5 2.21960- 3 2.10000+ 1 3.00000+ 1 7.17221- 5 2.22690- 3 2.10000+ 1 3.20000+ 1 6.20955- 7 2.25667- 3 2.10000+ 1 3.30000+ 1 1.55237- 6 2.25709- 3 2.10000+ 1 4.10000+ 1 9.71817- 5 2.25479- 3 2.20000+ 1 2.20000+ 1 3.57316- 4 2.07186- 3 2.20000+ 1 2.40000+ 1 3.10253- 3 2.25222- 3 2.20000+ 1 2.50000+ 1 1.77563- 3 2.25386- 3 2.20000+ 1 2.70000+ 1 1.74405- 3 2.20484- 3 2.20000+ 1 2.90000+ 1 2.43072- 5 2.22966- 3 2.20000+ 1 3.00000+ 1 1.65896- 4 2.23696- 3 2.20000+ 1 3.20000+ 1 1.82301- 6 2.26673- 3 2.20000+ 1 3.30000+ 1 1.82301- 6 2.26715- 3 2.20000+ 1 4.10000+ 1 1.35210- 4 2.26485- 3 2.40000+ 1 2.40000+ 1 4.33609- 4 2.43258- 3 2.40000+ 1 2.50000+ 1 3.13309- 3 2.43422- 3 2.40000+ 1 2.70000+ 1 5.95095- 4 2.38520- 3 2.40000+ 1 2.90000+ 1 6.96903- 6 2.41002- 3 2.40000+ 1 3.00000+ 1 3.87836- 5 2.41732- 3 2.40000+ 1 3.20000+ 1 1.21197- 6 2.44709- 3 2.40000+ 1 3.30000+ 1 8.78702- 6 2.44751- 3 2.40000+ 1 4.10000+ 1 4.57541- 5 2.44521- 3 2.50000+ 1 2.50000+ 1 1.03760- 3 2.43586- 3 2.50000+ 1 2.70000+ 1 7.52918- 4 2.38684- 3 2.50000+ 1 2.90000+ 1 5.19239- 5 2.41166- 3 2.50000+ 1 3.00000+ 1 7.42243- 5 2.41896- 3 2.50000+ 1 3.20000+ 1 9.77424- 6 2.44873- 3 2.50000+ 1 3.30000+ 1 4.88711- 6 2.44915- 3 2.50000+ 1 4.10000+ 1 5.80353- 5 2.44685- 3 2.70000+ 1 2.70000+ 1 1.18835- 4 2.33782- 3 2.70000+ 1 2.90000+ 1 1.65544- 4 2.36264- 3 2.70000+ 1 3.00000+ 1 2.69594- 4 2.36994- 3 2.70000+ 1 3.20000+ 1 7.68570- 6 2.39971- 3 2.70000+ 1 3.30000+ 1 1.00504- 5 2.40013- 3 2.70000+ 1 4.10000+ 1 1.89190- 5 2.39783- 3 2.90000+ 1 2.90000+ 1 6.98072- 6 2.38746- 3 2.90000+ 1 3.00000+ 1 1.81497- 5 2.39476- 3 2.90000+ 1 4.10000+ 1 1.53577- 5 2.42265- 3 3.00000+ 1 3.00000+ 1 3.17260- 5 2.40206- 3 3.00000+ 1 3.20000+ 1 9.33133- 7 2.43183- 3 3.00000+ 1 3.30000+ 1 1.86621- 6 2.43225- 3 3.00000+ 1 4.10000+ 1 3.26589- 5 2.42995- 3 3.20000+ 1 4.10000+ 1 2.98959- 7 2.45972- 3 3.30000+ 1 4.10000+ 1 2.98959- 7 2.46014- 3 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 6.78832- 4 6.07200- 4 1.60000+ 1 5.62522- 4 1.76015- 3 2.10000+ 1 2.90471- 3 2.04862- 3 2.70000+ 1 1.05450- 4 2.19166- 3 3.20000+ 1 1.44240- 5 2.25355- 3 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 7.95010- 3 3.25200- 5 1.10000+ 1 2.20000+ 1 1.96593- 2 4.25800- 5 1.10000+ 1 2.40000+ 1 2.63723- 2 2.22940- 4 1.10000+ 1 2.50000+ 1 2.69241- 2 2.24580- 4 1.10000+ 1 2.70000+ 1 3.35903- 3 1.75560- 4 1.10000+ 1 2.90000+ 1 3.61912- 3 2.00380- 4 1.10000+ 1 3.00000+ 1 3.14389- 3 2.07680- 4 1.10000+ 1 3.20000+ 1 2.56680- 5 2.37450- 4 1.10000+ 1 3.30000+ 1 5.72091- 5 2.37870- 4 1.10000+ 1 4.10000+ 1 2.60589- 4 2.35570- 4 1.30000+ 1 1.60000+ 1 5.88407- 2 1.09350- 4 1.30000+ 1 1.80000+ 1 5.90434- 2 1.97010- 4 1.30000+ 1 1.90000+ 1 6.82399- 2 2.52150- 4 1.30000+ 1 2.10000+ 1 2.42285- 2 3.97820- 4 1.30000+ 1 2.20000+ 1 2.80262- 2 4.07880- 4 1.30000+ 1 2.40000+ 1 1.26781- 1 5.88240- 4 1.30000+ 1 2.50000+ 1 1.91151- 1 5.89880- 4 1.30000+ 1 2.70000+ 1 9.46383- 3 5.40860- 4 1.30000+ 1 2.90000+ 1 6.62469- 3 5.65680- 4 1.30000+ 1 3.00000+ 1 8.06361- 3 5.72980- 4 1.30000+ 1 3.20000+ 1 7.67865- 5 6.02750- 4 1.30000+ 1 3.30000+ 1 8.50468- 5 6.03170- 4 1.30000+ 1 4.10000+ 1 7.66987- 4 6.00870- 4 1.40000+ 1 1.60000+ 1 9.83113- 3 1.62350- 4 1.40000+ 1 1.80000+ 1 6.71481- 2 2.50010- 4 1.40000+ 1 1.90000+ 1 6.16993- 3 3.05150- 4 1.40000+ 1 2.10000+ 1 1.05320- 3 4.50820- 4 1.40000+ 1 2.20000+ 1 3.27637- 3 4.60880- 4 1.40000+ 1 2.40000+ 1 4.23147- 3 6.41240- 4 1.40000+ 1 2.50000+ 1 3.23098- 3 6.42880- 4 1.40000+ 1 2.70000+ 1 1.05363- 3 5.93860- 4 1.40000+ 1 2.90000+ 1 6.10726- 3 6.18680- 4 1.40000+ 1 3.00000+ 1 6.64932- 4 6.25980- 4 1.40000+ 1 3.20000+ 1 2.17514- 6 6.55750- 4 1.40000+ 1 3.30000+ 1 8.91737- 6 6.56170- 4 1.40000+ 1 4.10000+ 1 8.22219- 5 6.53870- 4 1.60000+ 1 1.60000+ 1 8.91457- 4 1.26230- 3 1.60000+ 1 1.80000+ 1 1.24750- 2 1.34996- 3 1.60000+ 1 1.90000+ 1 1.88254- 3 1.40510- 3 1.60000+ 1 2.10000+ 1 3.99112- 4 1.55077- 3 1.60000+ 1 2.20000+ 1 1.43906- 3 1.56083- 3 1.60000+ 1 2.40000+ 1 5.27046- 5 1.74119- 3 1.60000+ 1 2.50000+ 1 7.97617- 4 1.74283- 3 1.60000+ 1 2.70000+ 1 2.26240- 4 1.69381- 3 1.60000+ 1 2.90000+ 1 1.09326- 3 1.71863- 3 1.60000+ 1 3.00000+ 1 2.08884- 4 1.72593- 3 1.60000+ 1 3.20000+ 1 1.28543- 6 1.75570- 3 1.60000+ 1 3.30000+ 1 3.85623- 6 1.75612- 3 1.60000+ 1 4.10000+ 1 1.79962- 5 1.75382- 3 1.80000+ 1 1.80000+ 1 9.37224- 3 1.43762- 3 1.80000+ 1 1.90000+ 1 2.74090- 2 1.49276- 3 1.80000+ 1 2.10000+ 1 2.61888- 2 1.63843- 3 1.80000+ 1 2.20000+ 1 4.24626- 2 1.64849- 3 1.80000+ 1 2.40000+ 1 1.13695- 2 1.82885- 3 1.80000+ 1 2.50000+ 1 1.93547- 2 1.83049- 3 1.80000+ 1 2.70000+ 1 2.00014- 3 1.78147- 3 1.80000+ 1 2.90000+ 1 2.06504- 3 1.80629- 3 1.80000+ 1 3.00000+ 1 3.33001- 3 1.81359- 3 1.80000+ 1 3.20000+ 1 8.35534- 5 1.84336- 3 1.80000+ 1 3.30000+ 1 1.21474- 4 1.84378- 3 1.80000+ 1 4.10000+ 1 1.63249- 4 1.84148- 3 1.90000+ 1 1.90000+ 1 7.59113- 4 1.54790- 3 1.90000+ 1 2.10000+ 1 2.03562- 3 1.69357- 3 1.90000+ 1 2.20000+ 1 1.65833- 3 1.70363- 3 1.90000+ 1 2.40000+ 1 8.16943- 3 1.88399- 3 1.90000+ 1 2.50000+ 1 2.27663- 3 1.88563- 3 1.90000+ 1 2.70000+ 1 2.01828- 4 1.83661- 3 1.90000+ 1 2.90000+ 1 2.45591- 3 1.86143- 3 1.90000+ 1 3.00000+ 1 1.57475- 4 1.86873- 3 1.90000+ 1 3.20000+ 1 5.78494- 6 1.89850- 3 1.90000+ 1 3.30000+ 1 4.49922- 6 1.89892- 3 1.90000+ 1 4.10000+ 1 1.54263- 5 1.89662- 3 2.10000+ 1 2.10000+ 1 8.74127- 4 1.83924- 3 2.10000+ 1 2.20000+ 1 2.48940- 3 1.84930- 3 2.10000+ 1 2.40000+ 1 9.82109- 4 2.02966- 3 2.10000+ 1 2.50000+ 1 1.81575- 3 2.03130- 3 2.10000+ 1 2.70000+ 1 5.84899- 5 1.98228- 3 2.10000+ 1 2.90000+ 1 2.29397- 3 2.00710- 3 2.10000+ 1 3.00000+ 1 2.15961- 4 2.01440- 3 2.10000+ 1 3.20000+ 1 5.14208- 6 2.04417- 3 2.10000+ 1 3.30000+ 1 7.07004- 6 2.04459- 3 2.10000+ 1 4.10000+ 1 4.49912- 6 2.04229- 3 2.20000+ 1 2.20000+ 1 5.87487- 4 1.85936- 3 2.20000+ 1 2.40000+ 1 3.19249- 3 2.03972- 3 2.20000+ 1 2.50000+ 1 6.83218- 4 2.04136- 3 2.20000+ 1 2.70000+ 1 1.85110- 4 1.99234- 3 2.20000+ 1 2.90000+ 1 3.77231- 3 2.01716- 3 2.20000+ 1 3.00000+ 1 1.60043- 4 2.02446- 3 2.20000+ 1 3.20000+ 1 7.07000- 6 2.05423- 3 2.20000+ 1 3.30000+ 1 3.21362- 6 2.05465- 3 2.20000+ 1 4.10000+ 1 1.47832- 5 2.05235- 3 2.40000+ 1 2.40000+ 1 2.10438- 3 2.22008- 3 2.40000+ 1 2.50000+ 1 1.35899- 2 2.22172- 3 2.40000+ 1 2.70000+ 1 2.57095- 6 2.17270- 3 2.40000+ 1 2.90000+ 1 9.21701- 4 2.19752- 3 2.40000+ 1 3.00000+ 1 9.32649- 4 2.20482- 3 2.40000+ 1 3.20000+ 1 3.21368- 6 2.23459- 3 2.40000+ 1 3.30000+ 1 9.64129- 6 2.23501- 3 2.50000+ 1 2.50000+ 1 7.07000- 4 2.22336- 3 2.50000+ 1 2.70000+ 1 1.09266- 4 2.17434- 3 2.50000+ 1 2.90000+ 1 1.56058- 3 2.19916- 3 2.50000+ 1 3.00000+ 1 2.35244- 4 2.20646- 3 2.50000+ 1 3.20000+ 1 5.78478- 6 2.23623- 3 2.50000+ 1 3.30000+ 1 1.92823- 6 2.23665- 3 2.50000+ 1 4.10000+ 1 8.99842- 6 2.23435- 3 2.70000+ 1 2.70000+ 1 1.92792- 5 2.12532- 3 2.70000+ 1 2.90000+ 1 2.40109- 4 2.15014- 3 2.70000+ 1 3.00000+ 1 3.06709- 5 2.15744- 3 2.70000+ 1 3.30000+ 1 8.76330- 7 2.18763- 3 2.70000+ 1 4.10000+ 1 3.50517- 6 2.18533- 3 2.90000+ 1 2.90000+ 1 2.56906- 4 2.17496- 3 2.90000+ 1 3.00000+ 1 7.08390- 4 2.18226- 3 2.90000+ 1 3.20000+ 1 1.67212- 5 2.21203- 3 2.90000+ 1 3.30000+ 1 2.58426- 5 2.21245- 3 2.90000+ 1 4.10000+ 1 3.34437- 5 2.21015- 3 3.00000+ 1 3.00000+ 1 5.81368- 5 2.18956- 3 3.00000+ 1 3.20000+ 1 4.47212- 6 2.21933- 3 3.00000+ 1 3.30000+ 1 4.47212- 6 2.21975- 3 3.00000+ 1 4.10000+ 1 1.34162- 5 2.21745- 3 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.73015- 5 3.65300- 4 1.40000+ 1 2.44219- 4 4.18300- 4 1.60000+ 1 8.89353- 4 1.51825- 3 2.10000+ 1 4.25544- 4 1.80672- 3 2.20000+ 1 3.37119- 3 1.81678- 3 2.70000+ 1 1.61171- 4 1.94976- 3 3.20000+ 1 2.02780- 6 2.01165- 3 3.30000+ 1 1.51289- 5 2.01207- 3 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.90000+ 1 5.13993- 2 1.02500- 5 1.30000+ 1 2.10000+ 1 9.12555- 3 1.55920- 4 1.30000+ 1 2.20000+ 1 8.74300- 3 1.65980- 4 1.30000+ 1 2.40000+ 1 1.27741- 2 3.46340- 4 1.30000+ 1 2.50000+ 1 1.85132- 2 3.47980- 4 1.30000+ 1 2.70000+ 1 1.79890- 3 2.98960- 4 1.30000+ 1 2.90000+ 1 1.29433- 3 3.23780- 4 1.30000+ 1 3.00000+ 1 4.75163- 3 3.31080- 4 1.30000+ 1 3.20000+ 1 2.51325- 5 3.60850- 4 1.30000+ 1 3.30000+ 1 2.17949- 5 3.61270- 4 1.30000+ 1 4.10000+ 1 1.42547- 4 3.58970- 4 1.40000+ 1 1.80000+ 1 7.49574- 2 8.11000- 6 1.40000+ 1 1.90000+ 1 1.12632- 1 6.32500- 5 1.40000+ 1 2.10000+ 1 4.08324- 2 2.08920- 4 1.40000+ 1 2.20000+ 1 5.78024- 2 2.18980- 4 1.40000+ 1 2.40000+ 1 1.27045- 1 3.99340- 4 1.40000+ 1 2.50000+ 1 1.51769- 1 4.00980- 4 1.40000+ 1 2.70000+ 1 1.05272- 2 3.51960- 4 1.40000+ 1 2.90000+ 1 8.81993- 3 3.76780- 4 1.40000+ 1 3.00000+ 1 1.22228- 2 3.84080- 4 1.40000+ 1 3.20000+ 1 1.13491- 4 4.13850- 4 1.40000+ 1 3.30000+ 1 1.51581- 4 4.14270- 4 1.40000+ 1 4.10000+ 1 8.43266- 4 4.11970- 4 1.60000+ 1 1.60000+ 1 6.19285- 4 1.02040- 3 1.60000+ 1 1.80000+ 1 9.93007- 4 1.10806- 3 1.60000+ 1 1.90000+ 1 1.56230- 2 1.16320- 3 1.60000+ 1 2.10000+ 1 9.22550- 4 1.30887- 3 1.60000+ 1 2.20000+ 1 1.02788- 3 1.31893- 3 1.60000+ 1 2.40000+ 1 1.15387- 3 1.49929- 3 1.60000+ 1 2.50000+ 1 1.82584- 3 1.50093- 3 1.60000+ 1 2.70000+ 1 1.55891- 4 1.45191- 3 1.60000+ 1 2.90000+ 1 1.03216- 4 1.47673- 3 1.60000+ 1 3.00000+ 1 1.32255- 3 1.48403- 3 1.60000+ 1 3.20000+ 1 2.84725- 6 1.51380- 3 1.60000+ 1 3.30000+ 1 2.84725- 6 1.51422- 3 1.60000+ 1 4.10000+ 1 1.21012- 5 1.51192- 3 1.80000+ 1 1.80000+ 1 9.96559- 5 1.19572- 3 1.80000+ 1 1.90000+ 1 1.86561- 2 1.25086- 3 1.80000+ 1 2.10000+ 1 4.28533- 4 1.39653- 3 1.80000+ 1 2.20000+ 1 3.56337- 3 1.40659- 3 1.80000+ 1 2.40000+ 1 1.30621- 3 1.58695- 3 1.80000+ 1 2.50000+ 1 7.47975- 3 1.58859- 3 1.80000+ 1 2.70000+ 1 1.11755- 4 1.53957- 3 1.80000+ 1 2.90000+ 1 1.92189- 5 1.56439- 3 1.80000+ 1 3.00000+ 1 1.60373- 3 1.57169- 3 1.80000+ 1 3.20000+ 1 1.42364- 6 1.60146- 3 1.80000+ 1 3.30000+ 1 8.54189- 6 1.60188- 3 1.80000+ 1 4.10000+ 1 8.54189- 6 1.59958- 3 1.90000+ 1 1.90000+ 1 2.56885- 2 1.30600- 3 1.90000+ 1 2.10000+ 1 3.59290- 2 1.45167- 3 1.90000+ 1 2.20000+ 1 4.75430- 2 1.46173- 3 1.90000+ 1 2.40000+ 1 2.23682- 2 1.64209- 3 1.90000+ 1 2.50000+ 1 2.54057- 2 1.64373- 3 1.90000+ 1 2.70000+ 1 2.45636- 3 1.59471- 3 1.90000+ 1 2.90000+ 1 2.38095- 3 1.61953- 3 1.90000+ 1 3.00000+ 1 5.30988- 3 1.62683- 3 1.90000+ 1 3.20000+ 1 1.12461- 4 1.65660- 3 1.90000+ 1 3.30000+ 1 1.35239- 4 1.65702- 3 1.90000+ 1 4.10000+ 1 2.00012- 4 1.65472- 3 2.10000+ 1 2.10000+ 1 2.32053- 4 1.59734- 3 2.10000+ 1 2.20000+ 1 4.95287- 3 1.60740- 3 2.10000+ 1 2.40000+ 1 5.46679- 4 1.78776- 3 2.10000+ 1 2.50000+ 1 6.62625- 3 1.78940- 3 2.10000+ 1 2.70000+ 1 9.46710- 5 1.74038- 3 2.10000+ 1 2.90000+ 1 2.98953- 5 1.76520- 3 2.10000+ 1 3.00000+ 1 3.05315- 3 1.77250- 3 2.10000+ 1 3.20000+ 1 1.42365- 6 1.80227- 3 2.10000+ 1 3.30000+ 1 1.28128- 5 1.80269- 3 2.10000+ 1 4.10000+ 1 7.11823- 6 1.80039- 3 2.20000+ 1 2.20000+ 1 2.30847- 3 1.61746- 3 2.20000+ 1 2.40000+ 1 5.35789- 3 1.79782- 3 2.20000+ 1 2.50000+ 1 4.57939- 3 1.79946- 3 2.20000+ 1 2.70000+ 1 1.06776- 4 1.75044- 3 2.20000+ 1 2.90000+ 1 2.78318- 4 1.77526- 3 2.20000+ 1 3.00000+ 1 3.99921- 3 1.78256- 3 2.20000+ 1 3.20000+ 1 1.42367- 5 1.81233- 3 2.20000+ 1 3.30000+ 1 1.21012- 5 1.81275- 3 2.20000+ 1 4.10000+ 1 8.54207- 6 1.81045- 3 2.40000+ 1 2.40000+ 1 6.27126- 4 1.97818- 3 2.40000+ 1 2.50000+ 1 1.69669- 2 1.97982- 3 2.40000+ 1 2.70000+ 1 1.12466- 4 1.93080- 3 2.40000+ 1 2.90000+ 1 1.40940- 4 1.95562- 3 2.40000+ 1 3.00000+ 1 1.81586- 3 1.96292- 3 2.40000+ 1 3.20000+ 1 2.13544- 6 1.99269- 3 2.40000+ 1 3.30000+ 1 1.49481- 5 1.99311- 3 2.40000+ 1 4.10000+ 1 8.54193- 6 1.99081- 3 2.50000+ 1 2.50000+ 1 6.57084- 3 1.98146- 3 2.50000+ 1 2.70000+ 1 1.45211- 4 1.93244- 3 2.50000+ 1 2.90000+ 1 8.09353- 4 1.95726- 3 2.50000+ 1 3.00000+ 1 2.12261- 3 1.96456- 3 2.50000+ 1 3.20000+ 1 2.06428- 5 1.99433- 3 2.50000+ 1 3.30000+ 1 1.35244- 5 1.99475- 3 2.50000+ 1 4.10000+ 1 1.06773- 5 1.99245- 3 2.70000+ 1 2.70000+ 1 1.78405- 5 1.88342- 3 2.70000+ 1 2.90000+ 1 2.02192- 5 1.90824- 3 2.70000+ 1 3.00000+ 1 3.48480- 4 1.91554- 3 2.70000+ 1 4.10000+ 1 2.37874- 6 1.94343- 3 2.90000+ 1 2.90000+ 1 1.41780- 6 1.93306- 3 2.90000+ 1 3.00000+ 1 4.09745- 4 1.94036- 3 2.90000+ 1 3.30000+ 1 1.41780- 6 1.97055- 3 2.90000+ 1 4.10000+ 1 1.41780- 6 1.96825- 3 3.00000+ 1 3.00000+ 1 1.38334- 3 1.94766- 3 3.00000+ 1 3.20000+ 1 4.82111- 5 1.97743- 3 3.00000+ 1 3.30000+ 1 5.93369- 5 1.97785- 3 3.00000+ 1 4.10000+ 1 8.90051- 5 1.97555- 3 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.39770- 3 1.24061- 3 1.90000+ 1 2.64640- 4 1.29575- 3 2.40000+ 1 1.22420- 2 1.63184- 3 2.90000+ 1 5.20910- 4 1.60928- 3 3.00000+ 1 5.71670- 5 1.61658- 3 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 1.10221- 1 3.40400- 5 1.40000+ 1 2.50000+ 1 1.51123- 2 3.56800- 5 1.40000+ 1 2.90000+ 1 5.29530- 4 1.14800- 5 1.40000+ 1 3.00000+ 1 1.46572- 3 1.87800- 5 1.40000+ 1 3.20000+ 1 3.72819- 4 4.85500- 5 1.40000+ 1 3.30000+ 1 4.79615- 5 4.89700- 5 1.40000+ 1 4.10000+ 1 1.10703- 4 4.66700- 5 1.60000+ 1 1.60000+ 1 3.75226- 5 6.55100- 4 1.60000+ 1 1.80000+ 1 1.89653- 3 7.42760- 4 1.60000+ 1 1.90000+ 1 1.31322- 3 7.97900- 4 1.60000+ 1 2.10000+ 1 4.68303- 2 9.43570- 4 1.60000+ 1 2.20000+ 1 5.57885- 3 9.53630- 4 1.60000+ 1 2.40000+ 1 1.41749- 2 1.13399- 3 1.60000+ 1 2.50000+ 1 4.44981- 3 1.13563- 3 1.60000+ 1 2.70000+ 1 2.04664- 5 1.08661- 3 1.60000+ 1 2.90000+ 1 1.94437- 4 1.11143- 3 1.60000+ 1 3.00000+ 1 1.09155- 4 1.11873- 3 1.60000+ 1 3.20000+ 1 1.14269- 4 1.14850- 3 1.60000+ 1 3.30000+ 1 1.19384- 5 1.14892- 3 1.60000+ 1 4.10000+ 1 1.70546- 6 1.14662- 3 1.80000+ 1 1.80000+ 1 1.09663- 3 8.30420- 4 1.80000+ 1 1.90000+ 1 6.90404- 3 8.85560- 4 1.80000+ 1 2.10000+ 1 4.07642- 2 1.03123- 3 1.80000+ 1 2.20000+ 1 3.27460- 3 1.04129- 3 1.80000+ 1 2.40000+ 1 8.84840- 3 1.22165- 3 1.80000+ 1 2.50000+ 1 4.48553- 3 1.22329- 3 1.80000+ 1 2.70000+ 1 2.06367- 4 1.17427- 3 1.80000+ 1 2.90000+ 1 2.28540- 4 1.19909- 3 1.80000+ 1 3.00000+ 1 6.42960- 4 1.20639- 3 1.80000+ 1 3.20000+ 1 9.89204- 5 1.23616- 3 1.80000+ 1 3.30000+ 1 8.52731- 6 1.23658- 3 1.80000+ 1 4.10000+ 1 1.53510- 5 1.23428- 3 1.90000+ 1 1.90000+ 1 2.48490- 3 9.40700- 4 1.90000+ 1 2.10000+ 1 8.52117- 2 1.08637- 3 1.90000+ 1 2.20000+ 1 3.20300- 3 1.09643- 3 1.90000+ 1 2.40000+ 1 4.63383- 3 1.27679- 3 1.90000+ 1 2.50000+ 1 2.49517- 3 1.27843- 3 1.90000+ 1 2.70000+ 1 1.60318- 4 1.22941- 3 1.90000+ 1 2.90000+ 1 6.08873- 4 1.25423- 3 1.90000+ 1 3.00000+ 1 4.43448- 4 1.26153- 3 1.90000+ 1 3.20000+ 1 2.08084- 4 1.29130- 3 1.90000+ 1 3.30000+ 1 6.82184- 6 1.29172- 3 1.90000+ 1 4.10000+ 1 1.19384- 5 1.28942- 3 2.10000+ 1 2.10000+ 1 7.29439- 2 1.23204- 3 2.10000+ 1 2.20000+ 1 1.46729- 1 1.24210- 3 2.10000+ 1 2.40000+ 1 5.57299- 2 1.42246- 3 2.10000+ 1 2.50000+ 1 6.92715- 2 1.42410- 3 2.10000+ 1 2.70000+ 1 6.83882- 3 1.37508- 3 2.10000+ 1 2.90000+ 1 5.23242- 3 1.39990- 3 2.10000+ 1 3.00000+ 1 1.01017- 2 1.40720- 3 2.10000+ 1 3.20000+ 1 4.07624- 4 1.43697- 3 2.10000+ 1 3.30000+ 1 4.12729- 4 1.43739- 3 2.10000+ 1 4.10000+ 1 5.52576- 4 1.43509- 3 2.20000+ 1 2.20000+ 1 2.39104- 3 1.25216- 3 2.20000+ 1 2.40000+ 1 5.88860- 2 1.43252- 3 2.20000+ 1 2.50000+ 1 3.21647- 3 1.43416- 3 2.20000+ 1 2.70000+ 1 4.69008- 4 1.38514- 3 2.20000+ 1 2.90000+ 1 2.81410- 4 1.40996- 3 2.20000+ 1 3.00000+ 1 3.13828- 4 1.41726- 3 2.20000+ 1 3.20000+ 1 3.61563- 4 1.44703- 3 2.20000+ 1 3.30000+ 1 1.19383- 5 1.44745- 3 2.20000+ 1 4.10000+ 1 3.58158- 5 1.44515- 3 2.40000+ 1 2.40000+ 1 4.37714- 2 1.61288- 3 2.40000+ 1 2.50000+ 1 1.26830- 1 1.61452- 3 2.40000+ 1 2.70000+ 1 2.12517- 3 1.56550- 3 2.40000+ 1 2.90000+ 1 9.41429- 4 1.59032- 3 2.40000+ 1 3.00000+ 1 5.42355- 4 1.59762- 3 2.40000+ 1 3.20000+ 1 1.43264- 4 1.62739- 3 2.40000+ 1 3.30000+ 1 1.60319- 4 1.62781- 3 2.40000+ 1 4.10000+ 1 1.75669- 4 1.62551- 3 2.50000+ 1 2.50000+ 1 3.24018- 3 1.61616- 3 2.50000+ 1 2.70000+ 1 5.86875- 4 1.56714- 3 2.50000+ 1 2.90000+ 1 3.38899- 4 1.59196- 3 2.50000+ 1 3.00000+ 1 3.26508- 4 1.59926- 3 2.50000+ 1 3.20000+ 1 1.94244- 4 1.62903- 3 2.50000+ 1 3.30000+ 1 1.03318- 5 1.62945- 3 2.50000+ 1 4.10000+ 1 4.54629- 5 1.62715- 3 2.70000+ 1 2.70000+ 1 1.33066- 5 1.51812- 3 2.70000+ 1 2.90000+ 1 1.72991- 4 1.54294- 3 2.70000+ 1 3.00000+ 1 1.06460- 4 1.55024- 3 2.70000+ 1 3.20000+ 1 1.33066- 4 1.58001- 3 2.70000+ 1 3.30000+ 1 1.33066- 5 1.58043- 3 2.90000+ 1 2.90000+ 1 1.05356- 4 1.56776- 3 2.90000+ 1 3.00000+ 1 5.26788- 4 1.57506- 3 2.90000+ 1 3.20000+ 1 1.05356- 4 1.60483- 3 2.90000+ 1 4.10000+ 1 1.50507- 5 1.60295- 3 3.00000+ 1 3.00000+ 1 4.57367- 4 1.58236- 3 3.00000+ 1 3.20000+ 1 5.71721- 4 1.61213- 3 3.00000+ 1 4.10000+ 1 3.81124- 5 1.61025- 3 3.20000+ 1 3.30000+ 1 1.70545- 6 1.64232- 3 3.20000+ 1 4.10000+ 1 1.70545- 6 1.64002- 3 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.17200- 3 1.24275- 3 2.40000+ 1 6.83259- 4 1.57884- 3 2.50000+ 1 1.32480- 2 1.58048- 3 3.00000+ 1 5.76449- 4 1.56358- 3 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 5.68477- 6 6.02100- 4 1.60000+ 1 1.80000+ 1 4.60468- 4 6.89760- 4 1.60000+ 1 1.90000+ 1 3.35025- 3 7.44900- 4 1.60000+ 1 2.10000+ 1 5.01012- 3 8.90570- 4 1.60000+ 1 2.20000+ 1 5.56962- 2 9.00630- 4 1.60000+ 1 2.40000+ 1 4.89266- 3 1.08099- 3 1.60000+ 1 2.50000+ 1 1.66266- 2 1.08263- 3 1.60000+ 1 2.70000+ 1 1.51596- 5 1.03361- 3 1.60000+ 1 2.90000+ 1 2.27395- 5 1.05843- 3 1.60000+ 1 3.00000+ 1 2.95610- 4 1.06573- 3 1.60000+ 1 3.20000+ 1 1.13697- 5 1.09550- 3 1.60000+ 1 3.30000+ 1 1.23177- 4 1.09592- 3 1.60000+ 1 4.10000+ 1 1.89496- 6 1.09362- 3 1.80000+ 1 1.80000+ 1 7.57951- 6 7.77420- 4 1.80000+ 1 1.90000+ 1 8.37191- 3 8.32560- 4 1.80000+ 1 2.10000+ 1 4.58570- 4 9.78230- 4 1.80000+ 1 2.20000+ 1 5.64293- 2 9.88290- 4 1.80000+ 1 2.40000+ 1 2.27194- 3 1.16865- 3 1.80000+ 1 2.50000+ 1 8.30715- 3 1.17029- 3 1.80000+ 1 2.70000+ 1 4.73728- 5 1.12127- 3 1.80000+ 1 2.90000+ 1 3.78979- 6 1.14609- 3 1.80000+ 1 3.00000+ 1 7.33364- 4 1.15339- 3 1.80000+ 1 3.30000+ 1 1.25062- 4 1.18358- 3 1.80000+ 1 4.10000+ 1 3.78979- 6 1.18128- 3 1.90000+ 1 1.90000+ 1 6.20021- 3 8.87700- 4 1.90000+ 1 2.10000+ 1 5.28496- 3 1.03337- 3 1.90000+ 1 2.20000+ 1 8.81497- 2 1.04343- 3 1.90000+ 1 2.40000+ 1 3.06029- 3 1.22379- 3 1.90000+ 1 2.50000+ 1 6.72520- 3 1.22543- 3 1.90000+ 1 2.70000+ 1 4.13092- 4 1.17641- 3 1.90000+ 1 2.90000+ 1 7.21956- 4 1.20123- 3 1.90000+ 1 3.00000+ 1 1.12181- 3 1.20853- 3 1.90000+ 1 3.20000+ 1 1.51598- 5 1.23830- 3 1.90000+ 1 3.30000+ 1 1.95175- 4 1.23872- 3 1.90000+ 1 4.10000+ 1 3.22146- 5 1.23642- 3 2.10000+ 1 2.10000+ 1 1.13698- 3 1.17904- 3 2.10000+ 1 2.20000+ 1 1.16482- 1 1.18910- 3 2.10000+ 1 2.40000+ 1 2.99025- 3 1.36946- 3 2.10000+ 1 2.50000+ 1 3.99631- 2 1.37110- 3 2.10000+ 1 2.70000+ 1 4.07415- 4 1.32208- 3 2.10000+ 1 2.90000+ 1 6.25332- 5 1.34690- 3 2.10000+ 1 3.00000+ 1 4.71848- 4 1.35420- 3 2.10000+ 1 3.20000+ 1 5.68482- 6 1.38397- 3 2.10000+ 1 3.30000+ 1 2.59609- 4 1.38439- 3 2.10000+ 1 4.10000+ 1 3.03187- 5 1.38209- 3 2.20000+ 1 2.20000+ 1 1.31739- 1 1.19916- 3 2.20000+ 1 2.40000+ 1 6.75708- 2 1.37952- 3 2.20000+ 1 2.50000+ 1 1.03440- 1 1.38116- 3 2.20000+ 1 2.70000+ 1 7.86991- 3 1.33214- 3 2.20000+ 1 2.90000+ 1 6.96604- 3 1.35696- 3 2.20000+ 1 3.00000+ 1 1.05246- 2 1.36426- 3 2.20000+ 1 3.20000+ 1 3.60031- 4 1.39403- 3 2.20000+ 1 3.30000+ 1 6.65121- 4 1.39445- 3 2.20000+ 1 4.10000+ 1 6.34805- 4 1.39215- 3 2.40000+ 1 2.40000+ 1 3.82221- 3 1.55988- 3 2.40000+ 1 2.50000+ 1 1.21904- 1 1.56152- 3 2.40000+ 1 2.70000+ 1 5.66606- 4 1.51250- 3 2.40000+ 1 2.90000+ 1 2.59617- 4 1.53732- 3 2.40000+ 1 3.00000+ 1 2.88038- 4 1.54462- 3 2.40000+ 1 3.20000+ 1 9.47480- 6 1.57439- 3 2.40000+ 1 3.30000+ 1 1.44019- 4 1.57481- 3 2.40000+ 1 4.10000+ 1 4.54800- 5 1.57251- 3 2.50000+ 1 2.50000+ 1 8.26193- 2 1.56316- 3 2.50000+ 1 2.70000+ 1 2.41603- 3 1.51414- 3 2.50000+ 1 2.90000+ 1 1.01762- 3 1.53896- 3 2.50000+ 1 3.00000+ 1 7.35248- 4 1.54626- 3 2.50000+ 1 3.20000+ 1 1.19384- 4 1.57603- 3 2.50000+ 1 3.30000+ 1 2.44437- 4 1.57645- 3 2.50000+ 1 4.10000+ 1 2.00860- 4 1.57415- 3 2.70000+ 1 2.70000+ 1 2.00162- 5 1.46512- 3 2.70000+ 1 2.90000+ 1 2.00162- 5 1.48994- 3 2.70000+ 1 3.00000+ 1 4.00314- 4 1.49724- 3 2.70000+ 1 3.20000+ 1 2.00162- 5 1.52701- 3 2.70000+ 1 3.30000+ 1 1.80146- 4 1.52743- 3 2.90000+ 1 3.00000+ 1 4.68053- 4 1.52206- 3 2.90000+ 1 3.30000+ 1 1.06986- 4 1.55225- 3 3.00000+ 1 3.00000+ 1 6.03971- 4 1.52936- 3 3.00000+ 1 3.20000+ 1 2.23692- 5 1.55913- 3 3.00000+ 1 3.30000+ 1 2.68431- 4 1.55955- 3 3.00000+ 1 4.10000+ 1 4.47373- 5 1.55725- 3 3.30000+ 1 4.10000+ 1 1.89500- 6 1.58744- 3 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.81942- 5 8.76600- 5 1.90000+ 1 1.62852- 4 1.42800- 4 2.90000+ 1 8.39849- 5 4.56330- 4 3.00000+ 1 5.10072- 5 4.63630- 4 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 2.63895- 2 6.87000- 5 1.80000+ 1 2.50000+ 1 3.57107- 2 7.03400- 5 1.80000+ 1 2.70000+ 1 3.57355- 2 2.13200- 5 1.80000+ 1 2.90000+ 1 2.95453- 2 4.61400- 5 1.80000+ 1 3.00000+ 1 5.49763- 2 5.34400- 5 1.80000+ 1 3.20000+ 1 1.22305- 3 8.32100- 5 1.80000+ 1 3.30000+ 1 2.06847- 3 8.36300- 5 1.80000+ 1 4.10000+ 1 2.80544- 3 8.13300- 5 1.90000+ 1 2.40000+ 1 1.41485- 1 1.23840- 4 1.90000+ 1 2.50000+ 1 1.72563- 1 1.25480- 4 1.90000+ 1 2.70000+ 1 4.20095- 2 7.64600- 5 1.90000+ 1 2.90000+ 1 4.36657- 2 1.01280- 4 1.90000+ 1 3.00000+ 1 5.16283- 2 1.08580- 4 1.90000+ 1 3.20000+ 1 1.75978- 3 1.38350- 4 1.90000+ 1 3.30000+ 1 1.95921- 3 1.38770- 4 1.90000+ 1 4.10000+ 1 3.28965- 3 1.36470- 4 2.10000+ 1 2.10000+ 1 3.65089- 3 7.90900- 5 2.10000+ 1 2.20000+ 1 1.37087- 2 8.91500- 5 2.10000+ 1 2.40000+ 1 4.94173- 3 2.69510- 4 2.10000+ 1 2.50000+ 1 1.13548- 2 2.71150- 4 2.10000+ 1 2.70000+ 1 1.45133- 2 2.22130- 4 2.10000+ 1 2.90000+ 1 3.18467- 3 2.46950- 4 2.10000+ 1 3.00000+ 1 7.68046- 3 2.54250- 4 2.10000+ 1 3.20000+ 1 4.87028- 5 2.84020- 4 2.10000+ 1 3.30000+ 1 4.20547- 5 2.84440- 4 2.10000+ 1 4.10000+ 1 9.57108- 4 2.82140- 4 2.20000+ 1 2.20000+ 1 8.19603- 3 9.92100- 5 2.20000+ 1 2.40000+ 1 1.29888- 2 2.79570- 4 2.20000+ 1 2.50000+ 1 1.15191- 2 2.81210- 4 2.20000+ 1 2.70000+ 1 2.08111- 2 2.32190- 4 2.20000+ 1 2.90000+ 1 7.91750- 3 2.57010- 4 2.20000+ 1 3.00000+ 1 7.33840- 3 2.64310- 4 2.20000+ 1 3.20000+ 1 4.18883- 5 2.94080- 4 2.20000+ 1 3.30000+ 1 6.91506- 5 2.94500- 4 2.20000+ 1 4.10000+ 1 1.37163- 3 2.92200- 4 2.40000+ 1 2.40000+ 1 5.77139- 3 4.59930- 4 2.40000+ 1 2.50000+ 1 1.31181- 2 4.61570- 4 2.40000+ 1 2.70000+ 1 1.37335- 2 4.12550- 4 2.40000+ 1 2.90000+ 1 1.65008- 3 4.37370- 4 2.40000+ 1 3.00000+ 1 4.41209- 3 4.44670- 4 2.40000+ 1 3.20000+ 1 1.76194- 5 4.74440- 4 2.40000+ 1 3.30000+ 1 1.21337- 5 4.74860- 4 2.40000+ 1 4.10000+ 1 8.36951- 4 4.72560- 4 2.50000+ 1 2.50000+ 1 9.60682- 3 4.63210- 4 2.50000+ 1 2.70000+ 1 1.77414- 2 4.14190- 4 2.50000+ 1 2.90000+ 1 9.83617- 4 4.39010- 4 2.50000+ 1 3.00000+ 1 5.46476- 3 4.46310- 4 2.50000+ 1 3.20000+ 1 1.13024- 5 4.76080- 4 2.50000+ 1 3.30000+ 1 2.50990- 5 4.76500- 4 2.50000+ 1 4.10000+ 1 1.07974- 3 4.74200- 4 2.70000+ 1 2.70000+ 1 2.29163- 2 3.65170- 4 2.70000+ 1 2.90000+ 1 2.83087- 2 3.89990- 4 2.70000+ 1 3.00000+ 1 4.66252- 2 3.97290- 4 2.70000+ 1 3.20000+ 1 1.31818- 3 4.27060- 4 2.70000+ 1 3.30000+ 1 1.70618- 3 4.27480- 4 2.70000+ 1 4.10000+ 1 3.29780- 3 4.25180- 4 2.90000+ 1 2.90000+ 1 3.95307- 3 4.14810- 4 2.90000+ 1 3.00000+ 1 1.63688- 2 4.22110- 4 2.90000+ 1 3.20000+ 1 2.06635- 4 4.51880- 4 2.90000+ 1 3.30000+ 1 2.33590- 4 4.52300- 4 2.90000+ 1 4.10000+ 1 3.17140- 3 4.50000- 4 3.00000+ 1 3.00000+ 1 1.31838- 2 4.29410- 4 3.00000+ 1 3.20000+ 1 3.25762- 4 4.59180- 4 3.00000+ 1 3.30000+ 1 4.50313- 4 4.59600- 4 3.00000+ 1 4.10000+ 1 5.65252- 3 4.57300- 4 3.20000+ 1 3.30000+ 1 8.98379- 6 4.89370- 4 3.20000+ 1 4.10000+ 1 1.52720- 4 4.87070- 4 3.30000+ 1 4.10000+ 1 1.88664- 4 4.87490- 4 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 5.53465- 4 2.00810- 4 2.70000+ 1 1.24138- 4 3.43850- 4 3.20000+ 1 3.02680- 7 4.05740- 4 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 6.04821- 2 3.61800- 5 1.90000+ 1 2.50000+ 1 4.69378- 2 3.78200- 5 1.90000+ 1 2.90000+ 1 9.55106- 3 1.36200- 5 1.90000+ 1 3.00000+ 1 9.14282- 3 2.09200- 5 1.90000+ 1 3.20000+ 1 2.11400- 4 5.06900- 5 1.90000+ 1 3.30000+ 1 2.99700- 4 5.11100- 5 1.90000+ 1 4.10000+ 1 1.02409- 3 4.88100- 5 2.10000+ 1 2.10000+ 1 2.97995- 3 0.00000+ 0 2.10000+ 1 2.20000+ 1 1.65756- 1 1.49000- 6 2.10000+ 1 2.40000+ 1 1.21308- 1 1.81850- 4 2.10000+ 1 2.50000+ 1 2.55192- 1 1.83490- 4 2.10000+ 1 2.70000+ 1 2.57697- 2 1.34470- 4 2.10000+ 1 2.90000+ 1 1.83443- 2 1.59290- 4 2.10000+ 1 3.00000+ 1 2.99027- 2 1.66590- 4 2.10000+ 1 3.20000+ 1 5.67613- 4 1.96360- 4 2.10000+ 1 3.30000+ 1 1.00221- 3 1.96780- 4 2.10000+ 1 4.10000+ 1 2.10229- 3 1.94480- 4 2.20000+ 1 2.20000+ 1 1.19691- 2 1.15500- 5 2.20000+ 1 2.40000+ 1 3.78479- 2 1.91910- 4 2.20000+ 1 2.50000+ 1 9.86848- 3 1.93550- 4 2.20000+ 1 2.70000+ 1 5.04875- 3 1.44530- 4 2.20000+ 1 2.90000+ 1 2.06441- 2 1.69350- 4 2.20000+ 1 3.00000+ 1 4.19967- 3 1.76650- 4 2.20000+ 1 3.20000+ 1 1.28194- 4 2.06420- 4 2.20000+ 1 3.30000+ 1 6.68318- 5 2.06840- 4 2.20000+ 1 4.10000+ 1 3.52219- 4 2.04540- 4 2.40000+ 1 2.40000+ 1 2.98754- 3 3.72270- 4 2.40000+ 1 2.50000+ 1 2.05515- 2 3.73910- 4 2.40000+ 1 2.70000+ 1 3.43531- 3 3.24890- 4 2.40000+ 1 2.90000+ 1 1.35839- 2 3.49710- 4 2.40000+ 1 3.00000+ 1 3.64831- 3 3.57010- 4 2.40000+ 1 3.20000+ 1 1.31056- 4 3.86780- 4 2.40000+ 1 3.30000+ 1 4.22644- 5 3.87200- 4 2.40000+ 1 4.10000+ 1 2.72767- 4 3.84900- 4 2.50000+ 1 2.50000+ 1 1.17968- 3 3.75550- 4 2.50000+ 1 2.70000+ 1 2.68589- 3 3.26530- 4 2.50000+ 1 2.90000+ 1 3.14903- 2 3.51350- 4 2.50000+ 1 3.00000+ 1 2.09127- 3 3.58650- 4 2.50000+ 1 3.20000+ 1 3.68102- 4 3.88420- 4 2.50000+ 1 3.30000+ 1 2.30544- 5 3.88840- 4 2.50000+ 1 4.10000+ 1 1.81354- 4 3.86540- 4 2.70000+ 1 2.70000+ 1 5.00079- 4 2.77510- 4 2.70000+ 1 2.90000+ 1 7.45969- 3 3.02330- 4 2.70000+ 1 3.00000+ 1 1.23627- 3 3.09630- 4 2.70000+ 1 3.20000+ 1 7.01649- 5 3.39400- 4 2.70000+ 1 3.30000+ 1 4.00940- 5 3.39820- 4 2.70000+ 1 4.10000+ 1 6.79351- 5 3.37520- 4 2.90000+ 1 2.90000+ 1 1.56732- 2 3.27150- 4 2.90000+ 1 3.00000+ 1 4.25993- 2 3.34450- 4 2.90000+ 1 3.20000+ 1 9.84682- 4 3.64220- 4 2.90000+ 1 3.30000+ 1 1.56070- 3 3.64640- 4 2.90000+ 1 4.10000+ 1 2.26358- 3 3.62340- 4 3.00000+ 1 3.00000+ 1 2.45229- 3 3.41750- 4 3.00000+ 1 3.20000+ 1 4.62113- 4 3.71520- 4 3.00000+ 1 3.30000+ 1 1.29390- 4 3.71940- 4 3.00000+ 1 4.10000+ 1 4.49776- 4 3.69640- 4 3.20000+ 1 3.30000+ 1 2.90604- 7 4.01710- 4 3.20000+ 1 4.10000+ 1 7.26488- 7 3.99410- 4 3.30000+ 1 4.10000+ 1 2.90608- 7 3.99830- 4 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.36665- 5 1.45670- 4 2.20000+ 1 1.52920- 4 1.55730- 4 2.70000+ 1 8.06076- 5 2.88710- 4 3.20000+ 1 9.51476- 8 3.50600- 4 3.30000+ 1 4.95838- 7 3.51020- 4 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.89094- 2 1.26710- 4 2.10000+ 1 2.50000+ 1 5.41242- 2 1.28350- 4 2.10000+ 1 2.70000+ 1 1.17412- 2 7.93300- 5 2.10000+ 1 2.90000+ 1 8.85787- 3 1.04150- 4 2.10000+ 1 3.00000+ 1 3.19006- 2 1.11450- 4 2.10000+ 1 3.20000+ 1 2.67179- 4 1.41220- 4 2.10000+ 1 3.30000+ 1 5.48497- 4 1.41640- 4 2.10000+ 1 4.10000+ 1 9.10278- 4 1.39340- 4 2.20000+ 1 2.40000+ 1 2.50487- 1 1.36770- 4 2.20000+ 1 2.50000+ 1 2.64243- 1 1.38410- 4 2.20000+ 1 2.70000+ 1 6.06381- 2 8.93900- 5 2.20000+ 1 2.90000+ 1 5.97083- 2 1.14210- 4 2.20000+ 1 3.00000+ 1 8.24228- 2 1.21510- 4 2.20000+ 1 3.20000+ 1 2.33607- 3 1.51280- 4 2.20000+ 1 3.30000+ 1 2.44036- 3 1.51700- 4 2.20000+ 1 4.10000+ 1 4.90024- 3 1.49400- 4 2.40000+ 1 2.40000+ 1 8.12401- 4 3.17130- 4 2.40000+ 1 2.50000+ 1 2.25239- 2 3.18770- 4 2.40000+ 1 2.70000+ 1 4.61526- 3 2.69750- 4 2.40000+ 1 2.90000+ 1 1.99524- 3 2.94570- 4 2.40000+ 1 3.00000+ 1 2.82162- 2 3.01870- 4 2.40000+ 1 3.20000+ 1 2.77232- 5 3.31640- 4 2.40000+ 1 3.30000+ 1 1.72590- 4 3.32060- 4 2.40000+ 1 4.10000+ 1 2.85382- 4 3.29760- 4 2.50000+ 1 2.50000+ 1 9.28017- 3 3.20410- 4 2.50000+ 1 2.70000+ 1 9.70150- 3 2.71390- 4 2.50000+ 1 2.90000+ 1 7.75792- 3 2.96210- 4 2.50000+ 1 3.00000+ 1 3.40292- 2 3.03510- 4 2.50000+ 1 3.20000+ 1 3.45192- 5 3.33280- 4 2.50000+ 1 3.30000+ 1 2.02490- 4 3.33700- 4 2.50000+ 1 4.10000+ 1 6.64816- 4 3.31400- 4 2.70000+ 1 2.70000+ 1 9.59525- 6 2.22370- 4 2.70000+ 1 2.90000+ 1 3.14230- 4 2.47190- 4 2.70000+ 1 3.00000+ 1 6.02977- 3 2.54490- 4 2.70000+ 1 3.20000+ 1 2.15887- 5 2.84260- 4 2.70000+ 1 3.30000+ 1 4.23795- 5 2.84680- 4 2.70000+ 1 4.10000+ 1 2.39877- 6 2.82380- 4 2.90000+ 1 2.90000+ 1 2.38846- 5 2.72010- 4 2.90000+ 1 3.00000+ 1 4.10546- 3 2.79310- 4 2.90000+ 1 3.20000+ 1 8.53066- 6 3.09080- 4 2.90000+ 1 3.30000+ 1 3.01429- 5 3.09500- 4 2.90000+ 1 4.10000+ 1 1.53552- 5 3.07200- 4 3.00000+ 1 3.00000+ 1 1.25620- 2 2.86610- 4 3.00000+ 1 3.20000+ 1 4.42687- 4 3.16380- 4 3.00000+ 1 3.30000+ 1 5.50323- 4 3.16800- 4 3.00000+ 1 4.10000+ 1 8.36928- 4 3.14500- 4 3.20000+ 1 3.30000+ 1 5.43597- 7 3.46570- 4 3.20000+ 1 4.10000+ 1 5.43597- 7 3.44270- 4 3.30000+ 1 4.10000+ 1 1.08719- 6 3.44690- 4 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 6.44451- 5 1.90420- 4 2.90000+ 1 1.71400- 5 1.67860- 4 3.00000+ 1 2.54970- 6 1.75160- 4 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.20000+ 1 2.69307- 3 5.61000- 6 2.20000+ 1 3.30000+ 1 4.31402- 4 6.03000- 6 2.20000+ 1 4.10000+ 1 4.56928- 4 3.73000- 6 2.40000+ 1 2.40000+ 1 1.81486- 1 1.71460- 4 2.40000+ 1 2.50000+ 1 5.63163- 1 1.73100- 4 2.40000+ 1 2.70000+ 1 5.99489- 2 1.24080- 4 2.40000+ 1 2.90000+ 1 4.85067- 2 1.48900- 4 2.40000+ 1 3.00000+ 1 7.18926- 2 1.56200- 4 2.40000+ 1 3.20000+ 1 2.73493- 3 1.85970- 4 2.40000+ 1 3.30000+ 1 2.56421- 3 1.86390- 4 2.40000+ 1 4.10000+ 1 4.97480- 3 1.84090- 4 2.50000+ 1 2.50000+ 1 6.82308- 3 1.74740- 4 2.50000+ 1 2.70000+ 1 6.55687- 3 1.25720- 4 2.50000+ 1 2.90000+ 1 1.61512- 2 1.50540- 4 2.50000+ 1 3.00000+ 1 5.38401- 3 1.57840- 4 2.50000+ 1 3.20000+ 1 3.20358- 3 1.87610- 4 2.50000+ 1 3.30000+ 1 1.11716- 4 1.88030- 4 2.50000+ 1 4.10000+ 1 4.53572- 4 1.85730- 4 2.70000+ 1 2.70000+ 1 1.76938- 3 7.67000- 5 2.70000+ 1 2.90000+ 1 1.93516- 3 1.01520- 4 2.70000+ 1 3.00000+ 1 2.16202- 3 1.08820- 4 2.70000+ 1 3.20000+ 1 3.49583- 4 1.38590- 4 2.70000+ 1 3.30000+ 1 1.23966- 4 1.39010- 4 2.70000+ 1 4.10000+ 1 1.63398- 4 1.36710- 4 2.90000+ 1 2.90000+ 1 2.27030- 3 1.26340- 4 2.90000+ 1 3.00000+ 1 6.86147- 3 1.33640- 4 2.90000+ 1 3.20000+ 1 6.07235- 4 1.63410- 4 2.90000+ 1 3.30000+ 1 1.88438- 4 1.63830- 4 2.90000+ 1 4.10000+ 1 3.12571- 4 1.61530- 4 3.00000+ 1 3.00000+ 1 3.63843- 3 1.40940- 4 3.00000+ 1 3.20000+ 1 1.49718- 3 1.70710- 4 3.00000+ 1 3.30000+ 1 1.37260- 4 1.71130- 4 3.00000+ 1 4.10000+ 1 3.31537- 4 1.68830- 4 3.20000+ 1 3.30000+ 1 1.00433- 5 2.00900- 4 3.20000+ 1 4.10000+ 1 1.84118- 5 1.98600- 4 3.30000+ 1 4.10000+ 1 2.92900- 6 1.99020- 4 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.98142- 6 1.80360- 4 2.50000+ 1 6.16355- 5 1.82000- 4 3.00000+ 1 1.62691- 5 1.65100- 4 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 1.14526- 2 1.61400- 4 2.40000+ 1 2.50000+ 1 4.27453- 1 1.63040- 4 2.40000+ 1 2.70000+ 1 8.29873- 3 1.14020- 4 2.40000+ 1 2.90000+ 1 4.64414- 3 1.38840- 4 2.40000+ 1 3.00000+ 1 1.41328- 2 1.46140- 4 2.40000+ 1 3.20000+ 1 1.40548- 4 1.75910- 4 2.40000+ 1 3.30000+ 1 2.54253- 3 1.76330- 4 2.40000+ 1 4.10000+ 1 6.19272- 4 1.74030- 4 2.50000+ 1 2.50000+ 1 3.10618- 1 1.64680- 4 2.50000+ 1 2.70000+ 1 6.27586- 2 1.15660- 4 2.50000+ 1 2.90000+ 1 6.15726- 2 1.40480- 4 2.50000+ 1 3.00000+ 1 7.23203- 2 1.47780- 4 2.50000+ 1 3.20000+ 1 2.33783- 3 1.77550- 4 2.50000+ 1 3.30000+ 1 4.30736- 3 1.77970- 4 2.50000+ 1 4.10000+ 1 5.20940- 3 1.75670- 4 2.70000+ 1 2.70000+ 1 2.20876- 3 6.66400- 5 2.70000+ 1 2.90000+ 1 1.31228- 3 9.14600- 5 2.70000+ 1 3.00000+ 1 3.24003- 3 9.87600- 5 2.70000+ 1 3.20000+ 1 1.14188- 4 1.28530- 4 2.70000+ 1 3.30000+ 1 3.63655- 4 1.28950- 4 2.70000+ 1 4.10000+ 1 1.97644- 4 1.26650- 4 2.90000+ 1 2.90000+ 1 2.30132- 4 1.16280- 4 2.90000+ 1 3.00000+ 1 2.07341- 3 1.23580- 4 2.90000+ 1 3.20000+ 1 1.27366- 5 1.53350- 4 2.90000+ 1 3.30000+ 1 1.92800- 4 1.53770- 4 2.90000+ 1 4.10000+ 1 5.31437- 5 1.51470- 4 3.00000+ 1 3.00000+ 1 1.02517- 3 1.30880- 4 3.00000+ 1 3.20000+ 1 4.74357- 5 1.60650- 4 3.00000+ 1 3.30000+ 1 2.88122- 4 1.61070- 4 3.00000+ 1 4.10000+ 1 1.20779- 4 1.58770- 4 3.20000+ 1 3.30000+ 1 8.34473- 6 1.90840- 4 3.20000+ 1 4.10000+ 1 3.07436- 6 1.88540- 4 3.30000+ 1 4.10000+ 1 1.97642- 5 1.88960- 4 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 2.78420- 7 2.48200- 5 3.00000+ 1 1.22650- 6 3.21200- 5 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 4.14870- 1 1.84900- 5 3.00000+ 1 4.10000+ 1 5.77900- 1 2.57900- 5 4.10000+ 1 4.10000+ 1 7.22810- 3 5.36800- 5 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 5.56388- 9 3.70700- 5 4.10000+ 1 3.26889- 9 3.51900- 5 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 4.10000+ 1 9.97476- 1 9.70000- 7 4.10000+ 1 4.10000+ 1 2.52359- 3 2.88600- 5 1 71000 0 7 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.26780-10 2.97700- 5 3.30000+ 1 1.13200- 9 3.01900- 5 4.10000+ 1 1.11500- 9 2.78900- 5 1 71000 0 9 1.74967+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 4.10000+ 1 4.10000+ 1 1.00000+ 0 2.15600- 5 1 72000 0 0 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 8.00000- 1 3.30000+ 1 1.20000+ 0 4.10000+ 1 2.00000+ 0 1 72000 0 0 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.54820- 2 3.00000+ 0 1.12450- 2 5.00000+ 0 1.07630- 2 6.00000+ 0 9.55830- 3 8.00000+ 0 2.57600- 3 1.00000+ 1 2.35810- 3 1.10000+ 1 2.09900- 3 1.30000+ 1 1.72550- 3 1.40000+ 1 1.66870- 3 1.60000+ 1 5.25690- 4 1.80000+ 1 4.35270- 4 1.90000+ 1 3.75820- 4 2.10000+ 1 2.25590- 4 2.20000+ 1 2.14710- 4 2.40000+ 1 2.72600- 5 2.50000+ 1 2.54000- 5 2.70000+ 1 7.25600- 5 2.90000+ 1 4.63400- 5 3.00000+ 1 3.81000- 5 3.20000+ 1 5.75000- 6 3.30000+ 1 5.18000- 6 4.10000+ 1 6.86000- 6 1 72000 0 0 1.78490+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.81330- 2 3.00000+ 0 2.05760- 2 5.00000+ 0 2.05710- 2 6.00000+ 0 1.60270- 2 8.00000+ 0 6.48350- 3 1.00000+ 1 6.38570- 3 1.10000+ 1 5.28380- 3 1.30000+ 1 5.14600- 3 1.40000+ 1 4.89860- 3 1.60000+ 1 2.05610- 3 1.80000+ 1 1.94500- 3 1.90000+ 1 1.61920- 3 2.10000+ 1 1.41270- 3 2.20000+ 1 1.34270- 3 2.40000+ 1 9.18120- 4 2.50000+ 1 8.93650- 4 2.70000+ 1 4.34420- 4 2.90000+ 1 3.49940- 4 3.00000+ 1 2.81860- 4 3.20000+ 1 1.12740- 4 3.30000+ 1 1.02340- 4 4.10000+ 1 4.69000- 5 1 72000 0 0 1.78490+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.00360-10 3.00000+ 0 4.20910-10 5.00000+ 0 3.48470-10 6.00000+ 0 3.89250-10 8.00000+ 0 1.09670- 9 1.00000+ 1 1.04190- 9 1.10000+ 1 1.11750- 9 1.30000+ 1 9.78530-10 1.40000+ 1 1.00210- 9 1.60000+ 1 2.46290- 9 1.80000+ 1 2.49270- 9 1.90000+ 1 2.66450- 9 2.10000+ 1 2.76490- 9 2.20000+ 1 2.82400- 9 2.40000+ 1 3.39320- 9 2.50000+ 1 3.44880- 9 2.70000+ 1 5.91980- 9 2.90000+ 1 6.55310- 9 3.00000+ 1 7.10920- 9 3.20000+ 1 1.15690- 8 3.30000+ 1 1.21560- 8 4.10000+ 1 1.80610- 8 1 72000 0 0 1.78490+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.33460- 5 3.00000+ 0 7.01210- 7 5.00000+ 0 1.21340- 6 6.00000+ 0 1.08700- 6 8.00000+ 0 2.34660- 8 1.00000+ 1 2.46150- 8 1.10000+ 1 2.57220- 8 1.30000+ 1 2.86760- 8 1.40000+ 1 2.69310- 8 1.60000+ 1 6.52250-10 1.80000+ 1 1.20560- 9 1.90000+ 1 7.43760-10 2.10000+ 1 9.71500-10 2.20000+ 1 8.64610-10 2.70000+ 1 3.16600-11 2.90000+ 1 1.12860-11 3.00000+ 1 8.30000-12 1 72000 0 0 1.78490+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.69160- 6 3.00000+ 0 8.42960- 6 5.00000+ 0 3.22240- 6 6.00000+ 0 3.28160- 6 8.00000+ 0 1.81580- 5 1.00000+ 1 1.09390- 5 1.10000+ 1 1.12870- 5 1.30000+ 1 2.48950- 6 1.40000+ 1 1.49180- 6 1.60000+ 1 1.42100- 5 1.80000+ 1 1.42810- 5 1.90000+ 1 9.95970- 6 2.10000+ 1 6.73190- 6 2.20000+ 1 6.45500- 6 2.70000+ 1 5.46890- 6 2.90000+ 1 1.08170- 6 3.00000+ 1 4.19910- 7 1 72000 0 0 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.64197- 4 3.00000+ 0 2.21508- 4 5.00000+ 0 1.71042- 4 6.00000+ 0 1.64042- 4 8.00000+ 0 1.54837- 4 1.00000+ 1 1.31148- 4 1.10000+ 1 1.22052- 4 1.30000+ 1 9.06105- 5 1.40000+ 1 8.61129- 5 1.60000+ 1 7.82987- 5 1.80000+ 1 7.27966- 5 1.90000+ 1 6.81648- 5 2.10000+ 1 5.06420- 5 2.20000+ 1 4.93831- 5 2.40000+ 1 2.72600- 5 2.50000+ 1 2.54000- 5 2.70000+ 1 2.33170- 5 2.90000+ 1 2.05627- 5 3.00000+ 1 1.37200- 5 3.20000+ 1 5.75000- 6 3.30000+ 1 5.18000- 6 4.10000+ 1 6.86000- 6 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.19805+ 0 3.00000+ 0 2.91024- 1 5.00000+ 0 3.30457- 1 6.00000+ 0 2.69177- 1 8.00000+ 0 1.95332- 2 1.00000+ 1 1.95950- 2 1.10000+ 1 1.86965- 2 1.30000+ 1 1.93736- 2 1.40000+ 1 1.83781- 2 1.60000+ 1 6.70831- 4 1.80000+ 1 8.50267- 4 1.90000+ 1 3.48630- 4 2.10000+ 1 9.85442- 5 2.20000+ 1 9.39578- 5 2.70000+ 1 1.89939- 6 2.90000+ 1 3.53862- 8 3.00000+ 1 7.50230- 9 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.63223- 2 3.00000+ 0 2.24518- 3 5.00000+ 0 2.80669- 3 6.00000+ 0 1.98848- 3 8.00000+ 0 3.23334- 5 1.00000+ 1 3.21802- 5 1.10000+ 1 3.02854- 5 1.30000+ 1 3.12731- 5 1.40000+ 1 2.91010- 5 1.60000+ 1 1.70236- 7 1.80000+ 1 1.97261- 7 1.90000+ 1 7.12629- 8 2.10000+ 1 1.91116- 8 2.20000+ 1 1.75247- 8 2.70000+ 1 6.27464-11 2.90000+ 1 1.36781-12 3.00000+ 1 2.42795-13 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.44181+ 0 3.00000+ 0 1.04055+ 1 5.00000+ 0 7.75801+ 0 6.00000+ 0 7.38039+ 0 8.00000+ 0 7.16654+ 0 1.00000+ 1 5.80936+ 0 1.10000+ 1 5.34269+ 0 1.30000+ 1 3.46525+ 0 1.40000+ 1 3.32222+ 0 1.60000+ 1 4.25855+ 0 1.80000+ 1 3.07800+ 0 1.90000+ 1 2.83790+ 0 2.10000+ 1 1.43403+ 0 2.20000+ 1 1.43597+ 0 2.70000+ 1 2.39897+ 0 2.90000+ 1 1.99748+ 0 3.00000+ 1 1.00000+ 0 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.99554- 3 3.00000+ 0 8.77831- 3 5.00000+ 0 7.78527- 3 6.00000+ 0 7.40577- 3 8.00000+ 0 2.38883- 3 1.00000+ 1 2.19477- 3 1.10000+ 1 1.94666- 3 1.30000+ 1 1.60362- 3 1.40000+ 1 1.55349- 3 1.60000+ 1 4.47221- 4 1.80000+ 1 3.62276- 4 1.90000+ 1 3.07584- 4 2.10000+ 1 1.74929- 4 2.20000+ 1 1.65309- 4 2.70000+ 1 4.92430- 5 2.90000+ 1 2.57773- 5 3.00000+ 1 2.43800- 5 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.75178- 1 5.47190- 2 6.00000+ 0 4.81456- 1 5.59237- 2 1.00000+ 1 5.12545- 2 6.31239- 2 1.10000+ 1 9.90641- 2 6.33830- 2 1.30000+ 1 1.03999- 3 6.37565- 2 1.40000+ 1 1.32379- 3 6.38133- 2 1.80000+ 1 1.15269- 2 6.50467- 2 1.90000+ 1 2.23138- 2 6.51062- 2 2.10000+ 1 2.45028- 4 6.52564- 2 2.20000+ 1 3.10357- 4 6.52673- 2 2.90000+ 1 2.60488- 3 6.54357- 2 3.00000+ 1 5.39725- 3 6.54439- 2 3.20000+ 1 2.71248- 6 6.54762- 2 3.30000+ 1 3.24977- 6 6.54768- 2 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.71668- 3 4.29920- 2 3.00000+ 0 5.00000+ 0 6.66189- 3 4.34740- 2 3.00000+ 0 6.00000+ 0 4.95767- 3 4.46787- 2 3.00000+ 0 8.00000+ 0 1.84932- 3 5.16610- 2 3.00000+ 0 1.00000+ 1 1.40814- 3 5.18789- 2 3.00000+ 0 1.10000+ 1 1.10435- 3 5.21380- 2 3.00000+ 0 1.30000+ 1 8.75191- 5 5.25115- 2 3.00000+ 0 1.40000+ 1 7.52516- 5 5.25683- 2 3.00000+ 0 1.60000+ 1 4.42740- 4 5.37113- 2 3.00000+ 0 1.80000+ 1 3.26146- 4 5.38017- 2 3.00000+ 0 1.90000+ 1 2.53168- 4 5.38612- 2 3.00000+ 0 2.10000+ 1 2.04241- 5 5.40114- 2 3.00000+ 0 2.20000+ 1 1.73182- 5 5.40223- 2 3.00000+ 0 2.40000+ 1 7.76605- 8 5.42097- 2 3.00000+ 0 2.50000+ 1 7.76605- 8 5.42116- 2 3.00000+ 0 2.70000+ 1 7.37736- 5 5.41644- 2 3.00000+ 0 2.90000+ 1 4.46530- 5 5.41907- 2 3.00000+ 0 3.00000+ 1 3.28486- 5 5.41989- 2 3.00000+ 0 3.20000+ 1 4.65939- 7 5.42312- 2 3.00000+ 0 4.10000+ 1 6.29011- 6 5.42301- 2 5.00000+ 0 5.00000+ 0 4.94665- 4 4.39560- 2 5.00000+ 0 6.00000+ 0 9.41203- 3 4.51607- 2 5.00000+ 0 8.00000+ 0 1.11267- 3 5.21430- 2 5.00000+ 0 1.00000+ 1 1.83974- 4 5.23609- 2 5.00000+ 0 1.10000+ 1 1.74215- 3 5.26200- 2 5.00000+ 0 1.30000+ 1 9.38153- 5 5.29935- 2 5.00000+ 0 1.40000+ 1 2.72813- 4 5.30503- 2 5.00000+ 0 1.60000+ 1 2.56973- 4 5.41933- 2 5.00000+ 0 1.80000+ 1 4.14709- 5 5.42837- 2 5.00000+ 0 1.90000+ 1 3.83719- 4 5.43432- 2 5.00000+ 0 2.10000+ 1 2.12784- 5 5.44934- 2 5.00000+ 0 2.20000+ 1 6.15841- 5 5.45043- 2 5.00000+ 0 2.40000+ 1 3.88279- 7 5.46917- 2 5.00000+ 0 2.50000+ 1 6.98929- 7 5.46936- 2 5.00000+ 0 2.70000+ 1 4.24787- 5 5.46464- 2 5.00000+ 0 2.90000+ 1 5.66943- 6 5.46727- 2 5.00000+ 0 3.00000+ 1 4.93895- 5 5.46809- 2 5.00000+ 0 3.20000+ 1 4.65946- 7 5.47132- 2 5.00000+ 0 4.10000+ 1 3.65000- 6 5.47121- 2 6.00000+ 0 6.00000+ 0 4.27272- 3 4.63654- 2 6.00000+ 0 8.00000+ 0 7.71152- 4 5.33477- 2 6.00000+ 0 1.00000+ 1 1.63404- 3 5.35656- 2 6.00000+ 0 1.10000+ 1 1.63274- 3 5.38247- 2 6.00000+ 0 1.30000+ 1 3.11359- 4 5.41982- 2 6.00000+ 0 1.40000+ 1 2.69258- 4 5.42550- 2 6.00000+ 0 1.60000+ 1 1.75205- 4 5.53980- 2 6.00000+ 0 1.80000+ 1 3.63311- 4 5.54884- 2 6.00000+ 0 1.90000+ 1 3.62621- 4 5.55479- 2 6.00000+ 0 2.10000+ 1 7.09839- 5 5.56981- 2 6.00000+ 0 2.20000+ 1 6.09657- 5 5.57090- 2 6.00000+ 0 2.40000+ 1 7.76662- 7 5.58964- 2 6.00000+ 0 2.50000+ 1 8.54294- 7 5.58983- 2 6.00000+ 0 2.70000+ 1 2.88899- 5 5.58511- 2 6.00000+ 0 2.90000+ 1 4.93153- 5 5.58774- 2 6.00000+ 0 3.00000+ 1 4.67543- 5 5.58856- 2 6.00000+ 0 3.20000+ 1 1.47554- 6 5.59179- 2 6.00000+ 0 4.10000+ 1 2.48517- 6 5.59168- 2 8.00000+ 0 8.00000+ 0 1.78383- 4 6.03300- 2 8.00000+ 0 1.00000+ 1 2.36390- 4 6.05479- 2 8.00000+ 0 1.10000+ 1 1.73413- 4 6.08070- 2 8.00000+ 0 1.30000+ 1 1.32794- 5 6.11805- 2 8.00000+ 0 1.40000+ 1 1.07945- 5 6.12373- 2 8.00000+ 0 1.60000+ 1 8.51145- 5 6.23803- 2 8.00000+ 0 1.80000+ 1 5.48297- 5 6.24707- 2 8.00000+ 0 1.90000+ 1 3.98384- 5 6.25302- 2 8.00000+ 0 2.10000+ 1 3.10628- 6 6.26804- 2 8.00000+ 0 2.20000+ 1 2.48500- 6 6.26913- 2 8.00000+ 0 2.70000+ 1 1.41334- 5 6.28334- 2 8.00000+ 0 2.90000+ 1 7.53288- 6 6.28597- 2 8.00000+ 0 3.00000+ 1 5.20298- 6 6.28679- 2 8.00000+ 0 3.20000+ 1 7.76608- 8 6.29002- 2 8.00000+ 0 4.10000+ 1 1.24255- 6 6.28991- 2 1.00000+ 1 1.00000+ 1 1.66191- 5 6.07658- 2 1.00000+ 1 1.10000+ 1 3.09855- 4 6.10249- 2 1.00000+ 1 1.30000+ 1 1.35903- 5 6.13984- 2 1.00000+ 1 1.40000+ 1 3.61882- 5 6.14552- 2 1.00000+ 1 1.60000+ 1 5.46702- 5 6.25982- 2 1.00000+ 1 1.80000+ 1 7.45512- 6 6.26886- 2 1.00000+ 1 1.90000+ 1 6.85695- 5 6.27481- 2 1.00000+ 1 2.10000+ 1 3.10625- 6 6.28983- 2 1.00000+ 1 2.20000+ 1 8.23139- 6 6.29092- 2 1.00000+ 1 2.40000+ 1 7.76601- 8 6.30966- 2 1.00000+ 1 2.50000+ 1 7.76601- 8 6.30985- 2 1.00000+ 1 2.70000+ 1 9.00815- 6 6.30513- 2 1.00000+ 1 2.90000+ 1 1.00955- 6 6.30776- 2 1.00000+ 1 3.00000+ 1 8.85276- 6 6.30858- 2 1.00000+ 1 3.20000+ 1 7.76601- 8 6.31181- 2 1.00000+ 1 4.10000+ 1 7.76601- 7 6.31170- 2 1.10000+ 1 1.10000+ 1 1.57256- 4 6.12840- 2 1.10000+ 1 1.30000+ 1 4.73737- 5 6.16575- 2 1.10000+ 1 1.40000+ 1 3.97620- 5 6.17143- 2 1.10000+ 1 1.60000+ 1 3.94510- 5 6.28573- 2 1.10000+ 1 1.80000+ 1 6.91931- 5 6.29477- 2 1.10000+ 1 1.90000+ 1 6.99711- 5 6.30072- 2 1.10000+ 1 2.10000+ 1 1.08727- 5 6.31574- 2 1.10000+ 1 2.20000+ 1 9.08616- 6 6.31683- 2 1.10000+ 1 2.40000+ 1 7.76620- 8 6.33557- 2 1.10000+ 1 2.50000+ 1 7.76620- 8 6.33576- 2 1.10000+ 1 2.70000+ 1 6.52342- 6 6.33104- 2 1.10000+ 1 2.90000+ 1 9.39656- 6 6.33367- 2 1.10000+ 1 3.00000+ 1 9.00837- 6 6.33449- 2 1.10000+ 1 3.20000+ 1 2.32974- 7 6.33772- 2 1.10000+ 1 4.10000+ 1 5.43625- 7 6.33761- 2 1.30000+ 1 1.30000+ 1 7.93730- 8 6.20310- 2 1.30000+ 1 1.40000+ 1 5.87325- 6 6.20878- 2 1.30000+ 1 1.60000+ 1 3.09535- 6 6.32308- 2 1.30000+ 1 1.80000+ 1 3.01605- 6 6.33212- 2 1.30000+ 1 1.90000+ 1 1.02384- 5 6.33807- 2 1.30000+ 1 2.20000+ 1 1.26994- 6 6.35418- 2 1.30000+ 1 2.70000+ 1 4.76213- 7 6.36839- 2 1.30000+ 1 2.90000+ 1 3.96835- 7 6.37102- 2 1.30000+ 1 3.00000+ 1 1.26994- 6 6.37184- 2 1.30000+ 1 4.10000+ 1 7.93730- 8 6.37496- 2 1.40000+ 1 1.40000+ 1 1.32012- 6 6.21446- 2 1.40000+ 1 1.60000+ 1 2.40736- 6 6.32876- 2 1.40000+ 1 1.80000+ 1 7.61045- 6 6.33780- 2 1.40000+ 1 1.90000+ 1 8.30901- 6 6.34375- 2 1.40000+ 1 2.10000+ 1 1.24253- 6 6.35877- 2 1.40000+ 1 2.20000+ 1 6.21283- 7 6.35986- 2 1.40000+ 1 2.70000+ 1 3.88268- 7 6.37407- 2 1.40000+ 1 2.90000+ 1 1.00954- 6 6.37670- 2 1.40000+ 1 3.00000+ 1 1.08724- 6 6.37752- 2 1.60000+ 1 1.60000+ 1 1.03755- 5 6.44306- 2 1.60000+ 1 1.80000+ 1 1.29097- 5 6.45210- 2 1.60000+ 1 1.90000+ 1 9.26637- 6 6.45805- 2 1.60000+ 1 2.10000+ 1 7.12793- 7 6.47307- 2 1.60000+ 1 2.20000+ 1 5.54407- 7 6.47416- 2 1.60000+ 1 2.70000+ 1 3.40575- 6 6.48837- 2 1.60000+ 1 2.90000+ 1 1.74234- 6 6.49100- 2 1.60000+ 1 3.00000+ 1 1.18797- 6 6.49182- 2 1.60000+ 1 4.10000+ 1 3.16793- 7 6.49494- 2 1.80000+ 1 1.80000+ 1 8.54211- 7 6.46115- 2 1.80000+ 1 1.90000+ 1 1.52979- 5 6.46709- 2 1.80000+ 1 2.10000+ 1 6.98901- 7 6.48211- 2 1.80000+ 1 2.20000+ 1 1.70838- 6 6.48320- 2 1.80000+ 1 2.70000+ 1 2.09675- 6 6.49742- 2 1.80000+ 1 2.90000+ 1 2.32964- 7 6.50004- 2 1.80000+ 1 3.00000+ 1 1.94136- 6 6.50086- 2 1.80000+ 1 4.10000+ 1 1.55309- 7 6.50399- 2 1.90000+ 1 1.90000+ 1 7.64158- 6 6.47304- 2 1.90000+ 1 2.10000+ 1 2.29235- 6 6.48806- 2 1.90000+ 1 2.20000+ 1 1.83394- 6 6.48915- 2 1.90000+ 1 2.70000+ 1 1.45178- 6 6.50336- 2 1.90000+ 1 2.90000+ 1 2.06320- 6 6.50598- 2 1.90000+ 1 3.00000+ 1 1.98675- 6 6.50681- 2 1.90000+ 1 3.20000+ 1 7.64158- 8 6.51004- 2 1.90000+ 1 4.10000+ 1 1.52824- 7 6.50993- 2 2.10000+ 1 2.20000+ 1 3.12618- 7 6.50417- 2 2.10000+ 1 2.70000+ 1 7.81584- 8 6.51838- 2 2.10000+ 1 2.90000+ 1 7.81584- 8 6.52101- 2 2.10000+ 1 3.00000+ 1 3.12618- 7 6.52183- 2 2.20000+ 1 2.20000+ 1 8.81015- 8 6.50526- 2 2.20000+ 1 2.70000+ 1 8.81015- 8 6.51947- 2 2.20000+ 1 2.90000+ 1 2.64290- 7 6.52209- 2 2.20000+ 1 3.00000+ 1 2.64290- 7 6.52292- 2 2.70000+ 1 2.70000+ 1 3.69450- 7 6.53369- 2 2.70000+ 1 2.90000+ 1 3.69450- 7 6.53631- 2 2.70000+ 1 3.00000+ 1 1.84724- 7 6.53713- 2 2.70000+ 1 4.10000+ 1 9.23670- 8 6.54026- 2 2.90000+ 1 3.00000+ 1 2.89007- 7 6.53976- 2 3.00000+ 1 3.00000+ 1 1.01819- 7 6.54058- 2 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.30428- 5 4.82000- 4 6.00000+ 0 1.30358- 3 1.68670- 3 1.00000+ 1 2.40397- 2 8.88690- 3 1.10000+ 1 3.09926- 2 9.14600- 3 1.30000+ 1 6.58122- 4 9.51950- 3 1.40000+ 1 9.85138- 4 9.57630- 3 1.80000+ 1 5.83323- 3 1.08097- 2 1.90000+ 1 7.92311- 3 1.08692- 2 2.10000+ 1 9.12999- 5 1.10194- 2 2.20000+ 1 1.42078- 4 1.10303- 2 2.90000+ 1 8.34580- 4 1.11987- 2 3.00000+ 1 1.09269- 3 1.12069- 2 3.20000+ 1 9.33839- 7 1.12392- 2 3.30000+ 1 1.38618- 6 1.12398- 2 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.80000+ 1 2.19492- 2 4.67300- 5 5.00000+ 0 1.90000+ 1 2.32340- 2 1.06180- 4 5.00000+ 0 2.10000+ 1 6.27942- 3 2.56410- 4 5.00000+ 0 2.20000+ 1 8.96461- 3 2.67290- 4 5.00000+ 0 2.40000+ 1 1.70814- 2 4.54740- 4 5.00000+ 0 2.50000+ 1 2.23945- 2 4.56600- 4 5.00000+ 0 2.70000+ 1 4.51089- 3 4.09440- 4 5.00000+ 0 2.90000+ 1 2.84357- 3 4.35660- 4 5.00000+ 0 3.00000+ 1 2.88269- 3 4.43900- 4 5.00000+ 0 3.20000+ 1 1.35107- 4 4.76250- 4 5.00000+ 0 4.10000+ 1 3.83205- 4 4.75140- 4 6.00000+ 0 1.40000+ 1 4.05914- 1 1.80000- 5 6.00000+ 0 1.60000+ 1 2.81222- 2 1.16101- 3 6.00000+ 0 1.80000+ 1 1.15486- 2 1.25143- 3 6.00000+ 0 1.90000+ 1 1.88053- 2 1.31088- 3 6.00000+ 0 2.10000+ 1 3.74871- 2 1.46111- 3 6.00000+ 0 2.20000+ 1 4.57559- 2 1.47199- 3 6.00000+ 0 2.40000+ 1 2.48944- 2 1.65944- 3 6.00000+ 0 2.50000+ 1 3.11964- 2 1.66130- 3 6.00000+ 0 2.70000+ 1 4.49054- 3 1.61414- 3 6.00000+ 0 2.90000+ 1 1.53880- 3 1.64036- 3 6.00000+ 0 3.00000+ 1 2.40850- 3 1.64860- 3 6.00000+ 0 3.20000+ 1 7.49352- 4 1.68095- 3 6.00000+ 0 4.10000+ 1 3.81993- 4 1.67984- 3 8.00000+ 0 8.00000+ 0 6.67022- 3 6.09300- 3 8.00000+ 0 1.00000+ 1 1.35394- 2 6.31090- 3 8.00000+ 0 1.10000+ 1 2.29646- 2 6.57000- 3 8.00000+ 0 1.30000+ 1 1.76457- 2 6.94350- 3 8.00000+ 0 1.40000+ 1 2.36105- 2 7.00030- 3 8.00000+ 0 1.60000+ 1 2.71230- 3 8.14331- 3 8.00000+ 0 1.80000+ 1 3.08161- 3 8.23373- 3 8.00000+ 0 1.90000+ 1 5.13102- 3 8.29318- 3 8.00000+ 0 2.10000+ 1 3.43176- 3 8.44341- 3 8.00000+ 0 2.20000+ 1 4.54207- 3 8.45429- 3 8.00000+ 0 2.40000+ 1 2.04742- 4 8.64174- 3 8.00000+ 0 2.50000+ 1 2.33447- 4 8.64360- 3 8.00000+ 0 2.70000+ 1 4.40585- 4 8.59644- 3 8.00000+ 0 2.90000+ 1 4.19663- 4 8.62266- 3 8.00000+ 0 3.00000+ 1 6.62067- 4 8.63090- 3 8.00000+ 0 3.20000+ 1 7.14384- 5 8.66325- 3 8.00000+ 0 4.10000+ 1 3.76614- 5 8.66214- 3 1.00000+ 1 1.00000+ 1 3.97550- 5 6.52880- 3 1.00000+ 1 1.10000+ 1 3.31502- 4 6.78790- 3 1.00000+ 1 1.30000+ 1 7.59234- 4 7.16140- 3 1.00000+ 1 1.40000+ 1 7.20316- 3 7.21820- 3 1.00000+ 1 1.60000+ 1 2.17186- 3 8.36121- 3 1.00000+ 1 1.80000+ 1 6.57606- 6 8.45163- 3 1.00000+ 1 1.90000+ 1 6.66573- 5 8.51108- 3 1.00000+ 1 2.10000+ 1 1.37796- 4 8.66131- 3 1.00000+ 1 2.20000+ 1 8.89858- 4 8.67219- 3 1.00000+ 1 2.40000+ 1 7.29344- 5 8.85964- 3 1.00000+ 1 2.50000+ 1 2.54679- 4 8.86150- 3 1.00000+ 1 2.70000+ 1 3.34491- 4 8.81434- 3 1.00000+ 1 2.90000+ 1 5.97815- 7 8.84056- 3 1.00000+ 1 3.00000+ 1 8.36958- 6 8.84880- 3 1.00000+ 1 3.20000+ 1 2.98913- 6 8.88115- 3 1.00000+ 1 4.10000+ 1 2.83969- 5 8.88004- 3 1.10000+ 1 1.10000+ 1 6.15147- 4 7.04700- 3 1.10000+ 1 1.30000+ 1 3.16506- 3 7.42050- 3 1.10000+ 1 1.40000+ 1 1.99967- 3 7.47730- 3 1.10000+ 1 1.60000+ 1 3.65823- 3 8.62031- 3 1.10000+ 1 1.80000+ 1 7.17363- 5 8.71073- 3 1.10000+ 1 1.90000+ 1 2.03548- 4 8.77018- 3 1.10000+ 1 2.10000+ 1 2.79184- 4 8.92041- 3 1.10000+ 1 2.20000+ 1 1.69175- 4 8.93129- 3 1.10000+ 1 2.40000+ 1 1.64100- 4 9.11874- 3 1.10000+ 1 2.50000+ 1 1.34501- 4 9.12060- 3 1.10000+ 1 2.70000+ 1 5.62540- 4 9.07344- 3 1.10000+ 1 2.90000+ 1 9.56528- 6 9.09966- 3 1.10000+ 1 3.00000+ 1 2.48081- 5 9.10790- 3 1.10000+ 1 3.20000+ 1 5.08138- 6 9.14025- 3 1.10000+ 1 4.10000+ 1 4.75249- 5 9.13914- 3 1.30000+ 1 1.30000+ 1 1.04372- 3 7.79400- 3 1.30000+ 1 1.40000+ 1 3.30546- 2 7.85080- 3 1.30000+ 1 1.60000+ 1 2.60346- 3 8.99381- 3 1.30000+ 1 1.80000+ 1 2.14609- 4 9.08423- 3 1.30000+ 1 1.90000+ 1 7.69074- 4 9.14368- 3 1.30000+ 1 2.10000+ 1 3.97836- 4 9.29391- 3 1.30000+ 1 2.20000+ 1 4.47775- 3 9.30479- 3 1.30000+ 1 2.40000+ 1 2.32252- 4 9.49224- 3 1.30000+ 1 2.50000+ 1 6.46227- 4 9.49410- 3 1.30000+ 1 2.70000+ 1 3.95158- 4 9.44694- 3 1.30000+ 1 2.90000+ 1 3.04880- 5 9.47316- 3 1.30000+ 1 3.00000+ 1 1.00430- 4 9.48140- 3 1.30000+ 1 3.20000+ 1 8.36925- 6 9.51375- 3 1.30000+ 1 4.10000+ 1 3.34779- 5 9.51264- 3 1.40000+ 1 1.40000+ 1 9.23133- 3 7.90760- 3 1.40000+ 1 1.60000+ 1 3.52472- 3 9.05061- 3 1.40000+ 1 1.80000+ 1 1.46546- 3 9.14103- 3 1.40000+ 1 1.90000+ 1 5.08136- 4 9.20048- 3 1.40000+ 1 2.10000+ 1 4.38819- 3 9.35071- 3 1.40000+ 1 2.20000+ 1 2.63777- 3 9.36159- 3 1.40000+ 1 2.40000+ 1 7.20058- 4 9.54904- 3 1.40000+ 1 2.50000+ 1 5.48787- 4 9.55090- 3 1.40000+ 1 2.70000+ 1 5.36821- 4 9.50374- 3 1.40000+ 1 2.90000+ 1 1.96075- 4 9.52996- 3 1.40000+ 1 3.00000+ 1 6.69537- 5 9.53820- 3 1.40000+ 1 3.20000+ 1 8.69794- 5 9.57055- 3 1.40000+ 1 4.10000+ 1 4.54325- 5 9.56944- 3 1.60000+ 1 1.60000+ 1 2.60028- 4 1.01936- 2 1.60000+ 1 1.80000+ 1 4.95264- 4 1.02840- 2 1.60000+ 1 1.90000+ 1 8.19271- 4 1.03435- 2 1.60000+ 1 2.10000+ 1 5.06326- 4 1.04937- 2 1.60000+ 1 2.20000+ 1 6.74893- 4 1.05046- 2 1.60000+ 1 2.40000+ 1 2.51072- 5 1.06920- 2 1.60000+ 1 2.50000+ 1 2.77972- 5 1.06939- 2 1.60000+ 1 2.70000+ 1 8.36902- 5 1.06467- 2 1.60000+ 1 2.90000+ 1 6.75495- 5 1.06730- 2 1.60000+ 1 3.00000+ 1 1.05803- 4 1.06812- 2 1.60000+ 1 3.20000+ 1 1.04610- 5 1.07136- 2 1.60000+ 1 4.10000+ 1 7.17340- 6 1.07124- 2 1.80000+ 1 1.80000+ 1 2.98906- 7 1.03745- 2 1.80000+ 1 1.90000+ 1 1.46458- 5 1.04339- 2 1.80000+ 1 2.10000+ 1 3.34784- 5 1.05841- 2 1.80000+ 1 2.20000+ 1 1.87703- 4 1.05950- 2 1.80000+ 1 2.40000+ 1 9.86357- 6 1.07825- 2 1.80000+ 1 2.50000+ 1 3.85585- 5 1.07843- 2 1.80000+ 1 2.70000+ 1 7.62205- 5 1.07372- 2 1.80000+ 1 3.00000+ 1 1.79338- 6 1.07716- 2 1.80000+ 1 3.20000+ 1 5.97801- 7 1.08040- 2 1.80000+ 1 4.10000+ 1 6.57591- 6 1.08029- 2 1.90000+ 1 1.90000+ 1 1.64402- 5 1.04934- 2 1.90000+ 1 2.10000+ 1 7.62204- 5 1.06436- 2 1.90000+ 1 2.20000+ 1 4.96187- 5 1.06545- 2 1.90000+ 1 2.40000+ 1 2.95927- 5 1.08419- 2 1.90000+ 1 2.50000+ 1 2.39127- 5 1.08438- 2 1.90000+ 1 2.70000+ 1 1.26138- 4 1.07966- 2 1.90000+ 1 2.90000+ 1 2.09227- 6 1.08228- 2 1.90000+ 1 3.00000+ 1 3.88573- 6 1.08311- 2 1.90000+ 1 3.20000+ 1 1.49458- 6 1.08634- 2 1.90000+ 1 4.10000+ 1 1.07613- 5 1.08623- 2 2.10000+ 1 2.10000+ 1 3.52708- 5 1.07938- 2 2.10000+ 1 2.20000+ 1 6.47713- 4 1.08047- 2 2.10000+ 1 2.40000+ 1 3.07864- 5 1.09921- 2 2.10000+ 1 2.50000+ 1 6.57572- 5 1.09940- 2 2.10000+ 1 2.70000+ 1 7.68171- 5 1.09468- 2 2.10000+ 1 2.90000+ 1 4.78240- 6 1.09731- 2 2.10000+ 1 3.00000+ 1 1.01623- 5 1.09813- 2 2.10000+ 1 3.20000+ 1 1.49454- 6 1.10137- 2 2.10000+ 1 4.10000+ 1 6.57572- 6 1.10125- 2 2.20000+ 1 2.20000+ 1 2.01461- 4 1.08156- 2 2.20000+ 1 2.40000+ 1 7.59203- 5 1.10030- 2 2.20000+ 1 2.50000+ 1 6.45624- 5 1.10049- 2 2.20000+ 1 2.70000+ 1 1.02526- 4 1.09577- 2 2.20000+ 1 2.90000+ 1 2.51078- 5 1.09839- 2 2.20000+ 1 3.00000+ 1 6.57579- 6 1.09922- 2 2.20000+ 1 3.20000+ 1 1.28532- 5 1.10245- 2 2.20000+ 1 4.10000+ 1 8.66813- 6 1.10234- 2 2.40000+ 1 2.40000+ 1 9.43002- 7 1.11905- 2 2.40000+ 1 2.50000+ 1 1.74470- 5 1.11923- 2 2.40000+ 1 2.70000+ 1 5.65807- 6 1.11452- 2 2.40000+ 1 2.90000+ 1 1.88596- 6 1.11714- 2 2.40000+ 1 3.00000+ 1 5.65807- 6 1.11796- 2 2.40000+ 1 3.20000+ 1 9.43002- 7 1.12120- 2 2.40000+ 1 4.10000+ 1 4.71510- 7 1.12109- 2 2.50000+ 1 2.50000+ 1 3.62630- 6 1.11942- 2 2.50000+ 1 2.70000+ 1 5.89263- 6 1.11470- 2 2.50000+ 1 2.90000+ 1 7.25261- 6 1.11733- 2 2.50000+ 1 3.00000+ 1 4.53284- 6 1.11815- 2 2.50000+ 1 3.20000+ 1 1.81306- 6 1.12138- 2 2.50000+ 1 4.10000+ 1 4.53284- 7 1.12127- 2 2.70000+ 1 2.70000+ 1 2.13897- 5 1.10999- 2 2.70000+ 1 2.90000+ 1 3.40282- 5 1.11261- 2 2.70000+ 1 3.00000+ 1 5.25004- 5 1.11343- 2 2.70000+ 1 3.20000+ 1 4.86148- 6 1.11667- 2 2.70000+ 1 4.10000+ 1 3.88889- 6 1.11656- 2 2.90000+ 1 3.00000+ 1 1.92423- 6 1.11606- 2 2.90000+ 1 4.10000+ 1 5.77268- 6 1.11918- 2 3.00000+ 1 3.00000+ 1 5.71723- 7 1.11688- 2 3.00000+ 1 3.20000+ 1 5.71723- 7 1.12011- 2 3.00000+ 1 4.10000+ 1 2.85871- 6 1.12000- 2 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.30710- 6 1.20470- 3 8.00000+ 0 6.37811- 3 8.18700- 3 1.10000+ 1 1.82880- 4 8.66400- 3 1.30000+ 1 2.19660- 1 9.03750- 3 1.60000+ 1 1.47410- 3 1.02373- 2 1.90000+ 1 4.65931- 5 1.03872- 2 2.10000+ 1 3.99631- 2 1.05374- 2 2.40000+ 1 8.98991- 5 1.07357- 2 2.70000+ 1 2.76980- 4 1.06904- 2 3.00000+ 1 9.92951- 6 1.07249- 2 3.20000+ 1 4.26951- 4 1.07572- 2 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 7.08227- 3 6.79010- 4 6.00000+ 0 1.80000+ 1 4.33470- 2 7.69430- 4 6.00000+ 0 1.90000+ 1 1.32965- 2 8.28880- 4 6.00000+ 0 2.10000+ 1 4.92081- 2 9.79110- 4 6.00000+ 0 2.20000+ 1 1.72975- 2 9.89990- 4 6.00000+ 0 2.40000+ 1 1.41763- 3 1.17744- 3 6.00000+ 0 2.50000+ 1 2.14929- 3 1.17930- 3 6.00000+ 0 2.70000+ 1 1.08114- 3 1.13214- 3 6.00000+ 0 2.90000+ 1 5.52415- 3 1.15836- 3 6.00000+ 0 3.00000+ 1 1.68929- 3 1.16660- 3 6.00000+ 0 3.20000+ 1 9.95967- 4 1.19895- 3 6.00000+ 0 4.10000+ 1 9.13853- 5 1.19784- 3 8.00000+ 0 8.00000+ 0 7.37257- 4 5.61100- 3 8.00000+ 0 1.00000+ 1 2.23428- 2 5.82890- 3 8.00000+ 0 1.10000+ 1 2.15235- 3 6.08800- 3 8.00000+ 0 1.30000+ 1 2.74257- 3 6.46150- 3 8.00000+ 0 1.40000+ 1 2.45179- 3 6.51830- 3 8.00000+ 0 1.60000+ 1 2.73512- 4 7.66131- 3 8.00000+ 0 1.80000+ 1 3.38112- 3 7.75173- 3 8.00000+ 0 1.90000+ 1 4.28488- 4 7.81118- 3 8.00000+ 0 2.10000+ 1 3.79097- 4 7.96141- 3 8.00000+ 0 2.20000+ 1 2.88328- 4 7.97229- 3 8.00000+ 0 2.40000+ 1 8.08841- 5 8.15974- 3 8.00000+ 0 2.50000+ 1 5.37163- 5 8.16160- 3 8.00000+ 0 2.70000+ 1 4.32192- 5 8.11444- 3 8.00000+ 0 2.90000+ 1 4.28488- 4 8.14066- 3 8.00000+ 0 3.00000+ 1 5.43332- 5 8.14890- 3 8.00000+ 0 3.20000+ 1 7.40912- 6 8.18125- 3 8.00000+ 0 4.10000+ 1 3.70451- 6 8.18014- 3 1.00000+ 1 1.00000+ 1 2.28690- 2 6.04680- 3 1.00000+ 1 1.10000+ 1 6.35882- 2 6.30590- 3 1.00000+ 1 1.30000+ 1 3.36875- 2 6.67940- 3 1.00000+ 1 1.40000+ 1 5.19402- 2 6.73620- 3 1.00000+ 1 1.60000+ 1 5.46571- 3 7.87921- 3 1.00000+ 1 1.80000+ 1 8.80010- 3 7.96963- 3 1.00000+ 1 1.90000+ 1 1.39499- 2 8.02908- 3 1.00000+ 1 2.10000+ 1 6.55782- 3 8.17931- 3 1.00000+ 1 2.20000+ 1 1.00512- 2 8.19019- 3 1.00000+ 1 2.40000+ 1 3.74188- 4 8.37764- 3 1.00000+ 1 2.50000+ 1 3.42693- 4 8.37950- 3 1.00000+ 1 2.70000+ 1 9.13861- 4 8.33234- 3 1.00000+ 1 2.90000+ 1 1.16943- 3 8.35856- 3 1.00000+ 1 3.00000+ 1 1.79500- 3 8.36680- 3 1.00000+ 1 3.20000+ 1 1.37073- 4 8.39915- 3 1.00000+ 1 4.10000+ 1 7.84146- 5 8.39804- 3 1.10000+ 1 1.10000+ 1 1.55711- 3 6.56500- 3 1.10000+ 1 1.30000+ 1 3.46490- 2 6.93850- 3 1.10000+ 1 1.40000+ 1 4.83951- 3 6.99530- 3 1.10000+ 1 1.60000+ 1 4.45784- 4 8.13831- 3 1.10000+ 1 1.80000+ 1 9.90035- 3 8.22873- 3 1.10000+ 1 1.90000+ 1 5.82250- 4 8.28818- 3 1.10000+ 1 2.10000+ 1 5.67908- 3 8.43841- 3 1.10000+ 1 2.20000+ 1 7.53863- 4 8.44929- 3 1.10000+ 1 2.40000+ 1 1.88937- 4 8.63674- 3 1.10000+ 1 2.50000+ 1 1.03109- 4 8.63860- 3 1.10000+ 1 2.70000+ 1 7.22408- 5 8.59144- 3 1.10000+ 1 2.90000+ 1 1.26079- 3 8.61766- 3 1.10000+ 1 3.00000+ 1 7.28578- 5 8.62590- 3 1.10000+ 1 3.20000+ 1 1.16074- 4 8.65825- 3 1.10000+ 1 4.10000+ 1 6.17438- 6 8.65714- 3 1.30000+ 1 1.30000+ 1 3.25074- 2 7.31200- 3 1.30000+ 1 1.40000+ 1 1.33126- 1 7.36880- 3 1.30000+ 1 1.60000+ 1 6.73629- 4 8.51181- 3 1.30000+ 1 1.80000+ 1 5.15571- 3 8.60223- 3 1.30000+ 1 1.90000+ 1 7.09502- 3 8.66168- 3 1.30000+ 1 2.10000+ 1 1.05688- 2 8.81191- 3 1.30000+ 1 2.20000+ 1 2.32341- 2 8.82279- 3 1.30000+ 1 2.40000+ 1 1.42698- 3 9.01024- 3 1.30000+ 1 2.50000+ 1 2.90266- 3 9.01210- 3 1.30000+ 1 2.70000+ 1 1.12995- 4 8.96494- 3 1.30000+ 1 2.90000+ 1 6.59427- 4 8.99116- 3 1.30000+ 1 3.00000+ 1 9.02083- 4 8.99940- 3 1.30000+ 1 3.20000+ 1 2.16105- 4 9.03175- 3 1.30000+ 1 4.10000+ 1 9.87920- 6 9.03064- 3 1.40000+ 1 1.40000+ 1 6.41641- 3 7.42560- 3 1.40000+ 1 1.60000+ 1 4.88404- 4 8.56861- 3 1.40000+ 1 1.80000+ 1 7.03271- 3 8.65903- 3 1.40000+ 1 1.90000+ 1 9.09470- 4 8.71848- 3 1.40000+ 1 2.10000+ 1 1.78853- 2 8.86871- 3 1.40000+ 1 2.20000+ 1 2.03322- 3 8.87959- 3 1.40000+ 1 2.40000+ 1 5.74223- 4 9.06704- 3 1.40000+ 1 2.50000+ 1 2.21047- 4 9.06890- 3 1.40000+ 1 2.70000+ 1 7.84135- 5 9.02174- 3 1.40000+ 1 2.90000+ 1 8.71804- 4 9.04796- 3 1.40000+ 1 3.00000+ 1 1.13619- 4 9.05620- 3 1.40000+ 1 3.20000+ 1 3.55642- 4 9.08855- 3 1.40000+ 1 4.10000+ 1 6.79195- 6 9.08744- 3 1.60000+ 1 1.60000+ 1 2.46978- 5 9.71162- 3 1.60000+ 1 1.80000+ 1 8.32335- 4 9.80204- 3 1.60000+ 1 1.90000+ 1 8.95285- 5 9.86149- 3 1.60000+ 1 2.10000+ 1 9.01506- 5 1.00117- 2 1.60000+ 1 2.20000+ 1 5.80408- 5 1.00226- 2 1.60000+ 1 2.40000+ 1 1.72885- 5 1.02100- 2 1.60000+ 1 2.50000+ 1 9.26146- 6 1.02119- 2 1.60000+ 1 2.70000+ 1 8.02713- 6 1.01647- 2 1.60000+ 1 2.90000+ 1 1.05587- 4 1.01910- 2 1.60000+ 1 3.00000+ 1 1.11144- 5 1.01992- 2 1.60000+ 1 3.20000+ 1 1.85236- 6 1.02316- 2 1.60000+ 1 4.10000+ 1 6.17449- 7 1.02304- 2 1.80000+ 1 1.80000+ 1 8.05774- 4 9.89246- 3 1.80000+ 1 1.90000+ 1 2.17641- 3 9.95191- 3 1.80000+ 1 2.10000+ 1 9.87251- 4 1.01021- 2 1.80000+ 1 2.20000+ 1 1.37251- 3 1.01130- 2 1.80000+ 1 2.40000+ 1 4.63073- 5 1.03005- 2 1.80000+ 1 2.50000+ 1 3.51933- 5 1.03023- 2 1.80000+ 1 2.70000+ 1 1.38931- 4 1.02552- 2 1.80000+ 1 2.90000+ 1 2.12397- 4 1.02814- 2 1.80000+ 1 3.00000+ 1 2.80327- 4 1.02896- 2 1.80000+ 1 3.20000+ 1 2.03752- 5 1.03220- 2 1.80000+ 1 4.10000+ 1 1.17311- 5 1.03209- 2 1.90000+ 1 1.90000+ 1 5.49548- 5 1.00114- 2 1.90000+ 1 2.10000+ 1 1.17256- 3 1.01616- 2 1.90000+ 1 2.20000+ 1 1.44493- 4 1.01725- 2 1.90000+ 1 2.40000+ 1 3.14895- 5 1.03599- 2 1.90000+ 1 2.50000+ 1 1.60538- 5 1.03618- 2 1.90000+ 1 2.70000+ 1 1.42017- 5 1.03146- 2 1.90000+ 1 2.90000+ 1 2.77249- 4 1.03408- 2 1.90000+ 1 3.00000+ 1 1.35837- 5 1.03491- 2 1.90000+ 1 3.20000+ 1 2.40802- 5 1.03814- 2 1.90000+ 1 4.10000+ 1 1.23487- 6 1.03803- 2 2.10000+ 1 2.10000+ 1 8.48996- 4 1.03118- 2 2.10000+ 1 2.20000+ 1 3.24459- 3 1.03227- 2 2.10000+ 1 2.40000+ 1 1.59920- 4 1.05101- 2 2.10000+ 1 2.50000+ 1 3.29089- 4 1.05120- 2 2.10000+ 1 2.70000+ 1 1.48183- 5 1.04648- 2 2.10000+ 1 2.90000+ 1 1.25959- 4 1.04911- 2 2.10000+ 1 3.00000+ 1 1.49421- 4 1.04993- 2 2.10000+ 1 3.20000+ 1 3.45768- 5 1.05317- 2 2.10000+ 1 4.10000+ 1 1.23483- 6 1.05305- 2 2.20000+ 1 2.20000+ 1 2.23814- 4 1.03336- 2 2.20000+ 1 2.40000+ 1 9.53149- 5 1.05210- 2 2.20000+ 1 2.50000+ 1 3.74461- 5 1.05229- 2 2.20000+ 1 2.70000+ 1 1.27649- 5 1.04757- 2 2.20000+ 1 2.90000+ 1 2.34884- 4 1.05019- 2 2.20000+ 1 3.00000+ 1 2.46789- 5 1.05102- 2 2.20000+ 1 3.20000+ 1 8.93563- 5 1.05425- 2 2.20000+ 1 4.10000+ 1 8.51016- 7 1.05414- 2 2.40000+ 1 2.40000+ 1 3.38642- 6 1.07085- 2 2.40000+ 1 2.50000+ 1 2.53986- 5 1.07103- 2 2.40000+ 1 2.70000+ 1 4.23299- 6 1.06632- 2 2.40000+ 1 2.90000+ 1 7.61955- 6 1.06894- 2 2.40000+ 1 3.00000+ 1 5.07956- 6 1.06976- 2 2.40000+ 1 3.20000+ 1 4.23299- 6 1.07300- 2 2.50000+ 1 2.50000+ 1 2.33152- 6 1.07122- 2 2.50000+ 1 2.70000+ 1 2.33152- 6 1.06650- 2 2.50000+ 1 2.90000+ 1 8.16047- 6 1.06913- 2 2.50000+ 1 3.00000+ 1 3.49745- 6 1.06995- 2 2.50000+ 1 3.20000+ 1 1.16581- 5 1.07318- 2 2.70000+ 1 2.70000+ 1 1.03744- 6 1.06179- 2 2.70000+ 1 2.90000+ 1 3.00852- 5 1.06441- 2 2.70000+ 1 3.00000+ 1 3.11235- 6 1.06523- 2 2.90000+ 1 2.90000+ 1 2.79571- 5 1.06703- 2 2.90000+ 1 3.00000+ 1 7.05001- 5 1.06786- 2 2.90000+ 1 3.20000+ 1 4.86203- 6 1.07109- 2 2.90000+ 1 4.10000+ 1 2.43093- 6 1.07098- 2 3.00000+ 1 3.00000+ 1 6.17442- 7 1.06868- 2 3.00000+ 1 3.20000+ 1 3.08716- 6 1.07191- 2 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.18590- 2 6.98230- 3 1.00000+ 1 9.67800- 5 7.20020- 3 1.10000+ 1 8.80020- 5 7.45930- 3 1.30000+ 1 1.96230- 2 7.83280- 3 1.40000+ 1 1.73160- 1 7.88960- 3 1.60000+ 1 2.08060- 3 9.03261- 3 1.80000+ 1 1.95090- 5 9.12303- 3 1.90000+ 1 1.90900- 5 9.18248- 3 2.10000+ 1 3.35940- 3 9.33271- 3 2.20000+ 1 3.00910- 2 9.34359- 3 2.40000+ 1 1.31890- 5 9.53104- 3 2.50000+ 1 7.40520- 5 9.53290- 3 2.70000+ 1 4.14870- 4 9.48574- 3 2.90000+ 1 4.24060- 6 9.51196- 3 3.00000+ 1 3.89810- 6 9.52020- 3 3.20000+ 1 3.55990- 5 9.55255- 3 3.30000+ 1 3.02790- 4 9.55312- 3 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 9.75417- 4 4.40630- 3 8.00000+ 0 1.00000+ 1 5.62505- 4 4.62420- 3 8.00000+ 0 1.10000+ 1 2.41619- 2 4.88330- 3 8.00000+ 0 1.30000+ 1 2.66723- 3 5.25680- 3 8.00000+ 0 1.40000+ 1 3.77219- 3 5.31360- 3 8.00000+ 0 1.60000+ 1 3.63275- 4 6.45661- 3 8.00000+ 0 1.80000+ 1 9.93004- 5 6.54703- 3 8.00000+ 0 1.90000+ 1 3.59048- 3 6.60648- 3 8.00000+ 0 2.10000+ 1 2.51396- 4 6.75671- 3 8.00000+ 0 2.20000+ 1 3.19272- 4 6.76759- 3 8.00000+ 0 2.40000+ 1 1.40152- 4 6.95504- 3 8.00000+ 0 2.50000+ 1 2.52657- 4 6.95690- 3 8.00000+ 0 2.70000+ 1 5.78216- 5 6.90974- 3 8.00000+ 0 2.90000+ 1 1.25703- 5 6.93596- 3 8.00000+ 0 3.00000+ 1 4.31777- 4 6.94420- 3 8.00000+ 0 3.20000+ 1 5.02802- 6 6.97655- 3 8.00000+ 0 4.10000+ 1 5.02802- 6 6.97544- 3 1.00000+ 1 1.00000+ 1 1.18155- 4 4.84210- 3 1.00000+ 1 1.10000+ 1 4.05352- 2 5.10120- 3 1.00000+ 1 1.30000+ 1 2.19653- 3 5.47470- 3 1.00000+ 1 1.40000+ 1 1.94469- 2 5.53150- 3 1.00000+ 1 1.60000+ 1 1.12495- 4 6.67451- 3 1.00000+ 1 1.80000+ 1 4.58800- 5 6.76493- 3 1.00000+ 1 1.90000+ 1 6.25662- 3 6.82438- 3 1.00000+ 1 2.10000+ 1 3.85889- 4 6.97461- 3 1.00000+ 1 2.20000+ 1 2.85532- 3 6.98549- 3 1.00000+ 1 2.40000+ 1 1.48951- 4 7.17294- 3 1.00000+ 1 2.50000+ 1 3.87776- 4 7.17480- 3 1.00000+ 1 2.70000+ 1 1.82260- 5 7.12764- 3 1.00000+ 1 2.90000+ 1 6.28497- 6 7.15386- 3 1.00000+ 1 3.00000+ 1 7.57338- 4 7.16210- 3 1.00000+ 1 3.20000+ 1 8.17001- 6 7.19445- 3 1.00000+ 1 4.10000+ 1 1.25703- 6 7.19334- 3 1.10000+ 1 1.10000+ 1 5.34626- 2 5.36030- 3 1.10000+ 1 1.30000+ 1 5.57015- 2 5.73380- 3 1.10000+ 1 1.40000+ 1 7.89769- 2 5.79060- 3 1.10000+ 1 1.60000+ 1 5.83168- 3 6.93361- 3 1.10000+ 1 1.80000+ 1 8.73224- 3 7.02403- 3 1.10000+ 1 1.90000+ 1 1.98641- 2 7.08348- 3 1.10000+ 1 2.10000+ 1 1.02968- 2 7.23371- 3 1.10000+ 1 2.20000+ 1 1.43286- 2 7.24459- 3 1.10000+ 1 2.40000+ 1 6.29108- 4 7.43204- 3 1.10000+ 1 2.50000+ 1 7.95006- 4 7.43390- 3 1.10000+ 1 2.70000+ 1 9.72289- 4 7.38674- 3 1.10000+ 1 2.90000+ 1 1.17961- 3 7.41296- 3 1.10000+ 1 3.00000+ 1 2.49302- 3 7.42120- 3 1.10000+ 1 3.20000+ 1 2.13675- 4 7.45355- 3 1.10000+ 1 4.10000+ 1 8.29564- 5 7.45244- 3 1.30000+ 1 1.30000+ 1 7.97293- 3 6.10730- 3 1.30000+ 1 1.40000+ 1 1.50383- 1 6.16410- 3 1.30000+ 1 1.60000+ 1 6.15913- 4 7.30711- 3 1.30000+ 1 1.80000+ 1 4.82057- 4 7.39753- 3 1.30000+ 1 1.90000+ 1 7.91229- 3 7.45698- 3 1.30000+ 1 2.10000+ 1 2.54040- 3 7.60721- 3 1.30000+ 1 2.20000+ 1 2.00915- 2 7.61809- 3 1.30000+ 1 2.40000+ 1 3.53842- 4 7.80554- 3 1.30000+ 1 2.50000+ 1 1.20607- 3 7.80740- 3 1.30000+ 1 2.70000+ 1 1.01819- 4 7.76024- 3 1.30000+ 1 2.90000+ 1 6.53619- 5 7.78646- 3 1.30000+ 1 3.00000+ 1 9.44643- 4 7.79470- 3 1.30000+ 1 3.20000+ 1 5.15365- 5 7.82705- 3 1.30000+ 1 4.10000+ 1 8.79913- 6 7.82594- 3 1.40000+ 1 1.40000+ 1 1.00900- 1 6.22090- 3 1.40000+ 1 1.60000+ 1 9.03797- 4 7.36391- 3 1.40000+ 1 1.80000+ 1 3.84207- 3 7.45433- 3 1.40000+ 1 1.90000+ 1 1.26602- 2 7.51378- 3 1.40000+ 1 2.10000+ 1 2.42338- 2 7.66401- 3 1.40000+ 1 2.20000+ 1 3.06290- 2 7.67489- 3 1.40000+ 1 2.40000+ 1 3.76598- 3 7.86234- 3 1.40000+ 1 2.50000+ 1 3.43341- 3 7.86420- 3 1.40000+ 1 2.70000+ 1 1.51474- 4 7.81704- 3 1.40000+ 1 2.90000+ 1 5.10961- 4 7.84326- 3 1.40000+ 1 3.00000+ 1 1.55177- 3 7.85150- 3 1.40000+ 1 3.20000+ 1 4.93999- 4 7.88385- 3 1.40000+ 1 4.10000+ 1 1.31980- 5 7.88274- 3 1.60000+ 1 1.60000+ 1 3.39409- 5 8.50692- 3 1.60000+ 1 1.80000+ 1 2.07414- 5 8.59734- 3 1.60000+ 1 1.90000+ 1 8.68584- 4 8.65679- 3 1.60000+ 1 2.10000+ 1 6.34813- 5 8.80702- 3 1.60000+ 1 2.20000+ 1 8.35920- 5 8.81790- 3 1.60000+ 1 2.40000+ 1 2.01127- 5 9.00535- 3 1.60000+ 1 2.50000+ 1 4.02263- 5 9.00721- 3 1.60000+ 1 2.70000+ 1 1.06849- 5 8.96005- 3 1.60000+ 1 2.90000+ 1 2.51409- 6 8.98627- 3 1.60000+ 1 3.00000+ 1 1.04337- 4 8.99451- 3 1.60000+ 1 3.20000+ 1 1.25709- 6 9.02686- 3 1.60000+ 1 4.10000+ 1 6.28526- 7 9.02575- 3 1.80000+ 1 1.80000+ 1 3.77084- 6 8.68776- 3 1.80000+ 1 1.90000+ 1 1.34312- 3 8.74721- 3 1.80000+ 1 2.10000+ 1 8.10794- 5 8.89744- 3 1.80000+ 1 2.20000+ 1 5.92038- 4 8.90832- 3 1.80000+ 1 2.40000+ 1 2.13683- 5 9.09577- 3 1.80000+ 1 2.50000+ 1 5.27945- 5 9.09763- 3 1.80000+ 1 2.70000+ 1 3.14242- 6 9.05047- 3 1.80000+ 1 2.90000+ 1 6.28504- 7 9.07669- 3 1.80000+ 1 3.00000+ 1 1.62776- 4 9.08493- 3 1.80000+ 1 3.20000+ 1 1.88547- 6 9.11728- 3 1.90000+ 1 1.90000+ 1 1.77296- 3 8.80666- 3 1.90000+ 1 2.10000+ 1 1.46440- 3 8.95689- 3 1.90000+ 1 2.20000+ 1 2.26133- 3 8.96777- 3 1.90000+ 1 2.40000+ 1 7.35348- 5 9.15522- 3 1.90000+ 1 2.50000+ 1 9.80433- 5 9.15708- 3 1.90000+ 1 2.70000+ 1 1.44553- 4 9.10992- 3 1.90000+ 1 2.90000+ 1 1.81009- 4 9.13614- 3 1.90000+ 1 3.00000+ 1 4.41832- 4 9.14438- 3 1.90000+ 1 3.20000+ 1 3.01679- 5 9.17673- 3 1.90000+ 1 4.10000+ 1 1.25704- 5 9.17562- 3 2.10000+ 1 2.10000+ 1 1.95464- 4 9.10712- 3 2.10000+ 1 2.20000+ 1 3.36541- 3 9.11800- 3 2.10000+ 1 2.40000+ 1 3.83379- 5 9.30545- 3 2.10000+ 1 2.50000+ 1 1.25701- 4 9.30731- 3 2.10000+ 1 2.70000+ 1 1.06842- 5 9.26015- 3 2.10000+ 1 2.90000+ 1 1.06842- 5 9.28637- 3 2.10000+ 1 3.00000+ 1 1.74718- 4 9.29461- 3 2.10000+ 1 3.20000+ 1 8.16985- 6 9.32696- 3 2.10000+ 1 4.10000+ 1 6.28485- 7 9.32585- 3 2.20000+ 1 2.20000+ 1 2.72815- 3 9.12888- 3 2.20000+ 1 2.40000+ 1 4.65489- 4 9.31633- 3 2.20000+ 1 2.50000+ 1 4.18481- 4 9.31819- 3 2.20000+ 1 2.70000+ 1 1.68863- 5 9.27103- 3 2.20000+ 1 2.90000+ 1 9.25106- 5 9.29725- 3 2.20000+ 1 3.00000+ 1 3.23053- 4 9.30549- 3 2.20000+ 1 3.20000+ 1 8.07612- 5 9.33784- 3 2.20000+ 1 4.10000+ 1 1.46845- 6 9.33673- 3 2.40000+ 1 2.40000+ 1 2.19564- 6 9.50378- 3 2.40000+ 1 2.50000+ 1 5.48874- 5 9.50564- 3 2.40000+ 1 2.70000+ 1 5.48874- 6 9.45848- 3 2.40000+ 1 2.90000+ 1 4.39110- 6 9.48470- 3 2.40000+ 1 3.00000+ 1 1.53693- 5 9.49294- 3 2.40000+ 1 3.20000+ 1 1.09778- 6 9.52529- 3 2.50000+ 1 2.50000+ 1 1.31608- 5 9.50750- 3 2.50000+ 1 2.70000+ 1 7.74168- 6 9.46034- 3 2.50000+ 1 2.90000+ 1 8.51575- 6 9.48656- 3 2.50000+ 1 3.00000+ 1 1.39339- 5 9.49480- 3 2.50000+ 1 3.20000+ 1 3.09665- 6 9.52715- 3 2.50000+ 1 4.10000+ 1 7.74168- 7 9.52604- 3 2.70000+ 1 2.70000+ 1 1.24087- 6 9.41318- 3 2.70000+ 1 2.90000+ 1 1.24087- 6 9.43940- 3 2.70000+ 1 3.00000+ 1 3.47433- 5 9.44764- 3 2.90000+ 1 3.00000+ 1 6.51080- 5 9.47386- 3 3.00000+ 1 3.00000+ 1 1.21085- 4 9.48210- 3 3.00000+ 1 3.20000+ 1 1.65106- 5 9.51445- 3 3.00000+ 1 4.10000+ 1 5.50399- 6 9.51334- 3 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 9.94654- 6 2.17900- 4 1.10000+ 1 2.14619- 4 4.77000- 4 1.80000+ 1 8.30816- 4 2.14073- 3 1.90000+ 1 8.24255- 4 2.20018- 3 2.90000+ 1 1.84813- 4 2.52966- 3 3.00000+ 1 1.76035- 4 2.53790- 3 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.10000+ 1 2.07731- 2 0.00000+ 0 1.00000+ 1 2.20000+ 1 5.62823- 2 3.19000- 6 1.00000+ 1 2.40000+ 1 3.75611- 2 1.90640- 4 1.00000+ 1 2.50000+ 1 5.01769- 2 1.92500- 4 1.00000+ 1 2.70000+ 1 8.66724- 3 1.45340- 4 1.00000+ 1 2.90000+ 1 7.52932- 3 1.71560- 4 1.00000+ 1 3.00000+ 1 1.06417- 2 1.79800- 4 1.00000+ 1 3.20000+ 1 4.71802- 4 2.12150- 4 1.00000+ 1 3.30000+ 1 6.10648- 4 2.12720- 4 1.00000+ 1 4.10000+ 1 7.29410- 4 2.11040- 4 1.10000+ 1 1.80000+ 1 6.29442- 2 4.17300- 5 1.10000+ 1 1.90000+ 1 7.55469- 2 1.01180- 4 1.10000+ 1 2.10000+ 1 2.98392- 2 2.51410- 4 1.10000+ 1 2.20000+ 1 4.38126- 2 2.62290- 4 1.10000+ 1 2.40000+ 1 1.32511- 1 4.49740- 4 1.10000+ 1 2.50000+ 1 1.65377- 1 4.51600- 4 1.10000+ 1 2.70000+ 1 9.15950- 3 4.04440- 4 1.10000+ 1 2.90000+ 1 7.92422- 3 4.30660- 4 1.10000+ 1 3.00000+ 1 9.54900- 3 4.38900- 4 1.10000+ 1 3.20000+ 1 2.25018- 4 4.71250- 4 1.10000+ 1 3.30000+ 1 3.19767- 4 4.71820- 4 1.10000+ 1 4.10000+ 1 7.83336- 4 4.70140- 4 1.30000+ 1 1.60000+ 1 2.47496- 2 3.24810- 4 1.30000+ 1 1.80000+ 1 5.48313- 3 4.15230- 4 1.30000+ 1 1.90000+ 1 5.46012- 3 4.74680- 4 1.30000+ 1 2.10000+ 1 8.22219- 3 6.24910- 4 1.30000+ 1 2.20000+ 1 1.02695- 2 6.35790- 4 1.30000+ 1 2.40000+ 1 6.81706- 3 8.23240- 4 1.30000+ 1 2.50000+ 1 6.32151- 3 8.25100- 4 1.30000+ 1 2.70000+ 1 2.75202- 3 7.77940- 4 1.30000+ 1 2.90000+ 1 5.87300- 4 8.04160- 4 1.30000+ 1 3.00000+ 1 5.46953- 4 8.12400- 4 1.30000+ 1 3.20000+ 1 6.00273- 5 8.44750- 4 1.30000+ 1 3.30000+ 1 7.36813- 5 8.45320- 4 1.30000+ 1 4.10000+ 1 2.26444- 4 8.43640- 4 1.40000+ 1 1.60000+ 1 3.51351- 2 3.81610- 4 1.40000+ 1 1.80000+ 1 1.05226- 3 4.72030- 4 1.40000+ 1 1.90000+ 1 1.05198- 2 5.31480- 4 1.40000+ 1 2.10000+ 1 1.12982- 2 6.81710- 4 1.40000+ 1 2.20000+ 1 1.65866- 2 6.92590- 4 1.40000+ 1 2.40000+ 1 7.73740- 3 8.80040- 4 1.40000+ 1 2.50000+ 1 1.20739- 2 8.81900- 4 1.40000+ 1 2.70000+ 1 3.88258- 3 8.34740- 4 1.40000+ 1 2.90000+ 1 1.19350- 4 8.60960- 4 1.40000+ 1 3.00000+ 1 1.04875- 3 8.69200- 4 1.40000+ 1 3.20000+ 1 8.77663- 5 9.01550- 4 1.40000+ 1 3.30000+ 1 1.15358- 4 9.02120- 4 1.40000+ 1 4.10000+ 1 3.18635- 4 9.00440- 4 1.60000+ 1 1.60000+ 1 3.49903- 3 1.52462- 3 1.60000+ 1 1.80000+ 1 5.97382- 3 1.61504- 3 1.60000+ 1 1.90000+ 1 1.02677- 2 1.67449- 3 1.60000+ 1 2.10000+ 1 1.13869- 2 1.82472- 3 1.60000+ 1 2.20000+ 1 1.62097- 2 1.83560- 3 1.60000+ 1 2.40000+ 1 6.29712- 3 2.02305- 3 1.60000+ 1 2.50000+ 1 7.92363- 3 2.02491- 3 1.60000+ 1 2.70000+ 1 9.66863- 4 1.97775- 3 1.60000+ 1 2.90000+ 1 8.11594- 4 2.00397- 3 1.60000+ 1 3.00000+ 1 1.32141- 3 2.01221- 3 1.60000+ 1 3.20000+ 1 9.58396- 5 2.04456- 3 1.60000+ 1 3.30000+ 1 1.26136- 4 2.04513- 3 1.60000+ 1 4.10000+ 1 8.21502- 5 2.04345- 3 1.80000+ 1 1.80000+ 1 2.77492- 4 1.70546- 3 1.80000+ 1 1.90000+ 1 7.43446- 4 1.76491- 3 1.80000+ 1 2.10000+ 1 4.11196- 4 1.91514- 3 1.80000+ 1 2.20000+ 1 2.33400- 4 1.92602- 3 1.80000+ 1 2.40000+ 1 7.23287- 5 2.11347- 3 1.80000+ 1 2.50000+ 1 4.49241- 4 2.11533- 3 1.80000+ 1 2.70000+ 1 6.43460- 4 2.06817- 3 1.80000+ 1 2.90000+ 1 5.90722- 5 2.09439- 3 1.80000+ 1 3.00000+ 1 7.40558- 5 2.10263- 3 1.80000+ 1 3.20000+ 1 3.16984- 6 2.13498- 3 1.80000+ 1 3.30000+ 1 2.01688- 6 2.13555- 3 1.80000+ 1 4.10000+ 1 5.30207- 5 2.13387- 3 1.90000+ 1 1.90000+ 1 9.31054- 4 1.82436- 3 1.90000+ 1 2.10000+ 1 6.97633- 4 1.97459- 3 1.90000+ 1 2.20000+ 1 1.65755- 3 1.98547- 3 1.90000+ 1 2.40000+ 1 4.97078- 4 2.17292- 3 1.90000+ 1 2.50000+ 1 9.24989- 4 2.17478- 3 1.90000+ 1 2.70000+ 1 1.11026- 3 2.12762- 3 1.90000+ 1 2.90000+ 1 8.55847- 5 2.15384- 3 1.90000+ 1 3.00000+ 1 2.03154- 4 2.16208- 3 1.90000+ 1 3.20000+ 1 6.05134- 6 2.19443- 3 1.90000+ 1 3.30000+ 1 1.23915- 5 2.19500- 3 1.90000+ 1 4.10000+ 1 9.13473- 5 2.19332- 3 2.10000+ 1 2.10000+ 1 1.30644- 4 2.12482- 3 2.10000+ 1 2.20000+ 1 6.15052- 4 2.13570- 3 2.10000+ 1 2.40000+ 1 4.50040- 4 2.32315- 3 2.10000+ 1 2.50000+ 1 3.27536- 3 2.32501- 3 2.10000+ 1 2.70000+ 1 1.23093- 3 2.27785- 3 2.10000+ 1 2.90000+ 1 4.02214- 5 2.30407- 3 2.10000+ 1 3.00000+ 1 7.31004- 5 2.31231- 3 2.10000+ 1 3.20000+ 1 1.76142- 6 2.34466- 3 2.10000+ 1 3.30000+ 1 4.11003- 6 2.34523- 3 2.10000+ 1 4.10000+ 1 1.00991- 4 2.34355- 3 2.20000+ 1 2.20000+ 1 3.41143- 4 2.14658- 3 2.20000+ 1 2.40000+ 1 3.10680- 3 2.33403- 3 2.20000+ 1 2.50000+ 1 1.78941- 3 2.33589- 3 2.20000+ 1 2.70000+ 1 1.70937- 3 2.28873- 3 2.20000+ 1 2.90000+ 1 2.41014- 5 2.31495- 3 2.20000+ 1 3.00000+ 1 1.68418- 4 2.32319- 3 2.20000+ 1 3.20000+ 1 4.30364- 6 2.35554- 3 2.20000+ 1 3.30000+ 1 4.59043- 6 2.35611- 3 2.20000+ 1 4.10000+ 1 1.40013- 4 2.35443- 3 2.40000+ 1 2.40000+ 1 4.63051- 4 2.52148- 3 2.40000+ 1 2.50000+ 1 3.32118- 3 2.52334- 3 2.40000+ 1 2.70000+ 1 6.16257- 4 2.47618- 3 2.40000+ 1 2.90000+ 1 6.88565- 6 2.50240- 3 2.40000+ 1 3.00000+ 1 4.13113- 5 2.51064- 3 2.40000+ 1 3.20000+ 1 3.44274- 6 2.54299- 3 2.40000+ 1 3.30000+ 1 2.38129- 5 2.54356- 3 2.40000+ 1 4.10000+ 1 5.02063- 5 2.54188- 3 2.50000+ 1 2.50000+ 1 1.10621- 3 2.52520- 3 2.50000+ 1 2.70000+ 1 7.79430- 4 2.47804- 3 2.50000+ 1 2.90000+ 1 5.48482- 5 2.50426- 3 2.50000+ 1 3.00000+ 1 7.93859- 5 2.51250- 3 2.50000+ 1 3.20000+ 1 2.62697- 5 2.54485- 3 2.50000+ 1 3.30000+ 1 1.35677- 5 2.54542- 3 2.50000+ 1 4.10000+ 1 6.32197- 5 2.54374- 3 2.70000+ 1 2.70000+ 1 1.14658- 4 2.43088- 3 2.70000+ 1 2.90000+ 1 1.62658- 4 2.45710- 3 2.70000+ 1 3.00000+ 1 2.64525- 4 2.46534- 3 2.70000+ 1 3.20000+ 1 1.86653- 5 2.49769- 3 2.70000+ 1 3.30000+ 1 2.50650- 5 2.49826- 3 2.70000+ 1 4.10000+ 1 1.91988- 5 2.49658- 3 2.90000+ 1 2.90000+ 1 6.81535- 6 2.48332- 3 2.90000+ 1 3.00000+ 1 1.79671- 5 2.49156- 3 2.90000+ 1 3.20000+ 1 6.19560- 7 2.52391- 3 2.90000+ 1 3.30000+ 1 6.19560- 7 2.52448- 3 2.90000+ 1 4.10000+ 1 1.54890- 5 2.52280- 3 3.00000+ 1 3.00000+ 1 3.08528- 5 2.49980- 3 3.00000+ 1 3.20000+ 1 1.66766- 6 2.53215- 3 3.00000+ 1 3.30000+ 1 3.33533- 6 2.53272- 3 3.00000+ 1 4.10000+ 1 3.41869- 5 2.53104- 3 3.20000+ 1 4.10000+ 1 8.64491- 7 2.56339- 3 3.30000+ 1 4.10000+ 1 1.15256- 6 2.56396- 3 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 7.07149- 4 6.32600- 4 1.60000+ 1 5.81359- 4 1.83241- 3 2.10000+ 1 3.02349- 3 2.13251- 3 2.70000+ 1 1.10280- 4 2.28554- 3 3.20000+ 1 3.66869- 5 2.35235- 3 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 7.62005- 3 3.35100- 5 1.10000+ 1 2.20000+ 1 1.88531- 2 4.43900- 5 1.10000+ 1 2.40000+ 1 2.66960- 2 2.31840- 4 1.10000+ 1 2.50000+ 1 2.69948- 2 2.33700- 4 1.10000+ 1 2.70000+ 1 3.29739- 3 1.86540- 4 1.10000+ 1 2.90000+ 1 3.63368- 3 2.12760- 4 1.10000+ 1 3.00000+ 1 3.08528- 3 2.21000- 4 1.10000+ 1 3.20000+ 1 6.55441- 5 2.53350- 4 1.10000+ 1 3.30000+ 1 1.48732- 4 2.53920- 4 1.10000+ 1 4.10000+ 1 2.71217- 4 2.52240- 4 1.30000+ 1 1.60000+ 1 5.70661- 2 1.06910- 4 1.30000+ 1 1.80000+ 1 5.72251- 2 1.97330- 4 1.30000+ 1 1.90000+ 1 6.49259- 2 2.56780- 4 1.30000+ 1 2.10000+ 1 2.32903- 2 4.07010- 4 1.30000+ 1 2.20000+ 1 2.70357- 2 4.17890- 4 1.30000+ 1 2.40000+ 1 1.28928- 1 6.05340- 4 1.30000+ 1 2.50000+ 1 1.95102- 1 6.07200- 4 1.30000+ 1 2.70000+ 1 9.44013- 3 5.60040- 4 1.30000+ 1 2.90000+ 1 6.71317- 3 5.86260- 4 1.30000+ 1 3.00000+ 1 8.07338- 3 5.94500- 4 1.30000+ 1 3.20000+ 1 1.95372- 4 6.26850- 4 1.30000+ 1 3.30000+ 1 2.23321- 4 6.27420- 4 1.30000+ 1 4.10000+ 1 8.11121- 4 6.25740- 4 1.40000+ 1 1.60000+ 1 9.46972- 3 1.63710- 4 1.40000+ 1 1.80000+ 1 6.50671- 2 2.54130- 4 1.40000+ 1 1.90000+ 1 5.93733- 3 3.13580- 4 1.40000+ 1 2.10000+ 1 1.02502- 3 4.63810- 4 1.40000+ 1 2.20000+ 1 3.17679- 3 4.74690- 4 1.40000+ 1 2.40000+ 1 4.39379- 3 6.62140- 4 1.40000+ 1 2.50000+ 1 3.32594- 3 6.64000- 4 1.40000+ 1 2.70000+ 1 1.04804- 3 6.16840- 4 1.40000+ 1 2.90000+ 1 6.16806- 3 6.43060- 4 1.40000+ 1 3.00000+ 1 6.72679- 4 6.51300- 4 1.40000+ 1 3.20000+ 1 5.67223- 6 6.83650- 4 1.40000+ 1 3.30000+ 1 2.31091- 5 6.84220- 4 1.40000+ 1 4.10000+ 1 8.65553- 5 6.82540- 4 1.60000+ 1 1.60000+ 1 8.87346- 4 1.30672- 3 1.60000+ 1 1.80000+ 1 1.24425- 2 1.39714- 3 1.60000+ 1 1.90000+ 1 1.86350- 3 1.45659- 3 1.60000+ 1 2.10000+ 1 3.98963- 4 1.60682- 3 1.60000+ 1 2.20000+ 1 1.43790- 3 1.61770- 3 1.60000+ 1 2.40000+ 1 5.07421- 5 1.80515- 3 1.60000+ 1 2.50000+ 1 8.35980- 4 1.80701- 3 1.60000+ 1 2.70000+ 1 2.31508- 4 1.75985- 3 1.60000+ 1 2.90000+ 1 1.13663- 3 1.78607- 3 1.60000+ 1 3.00000+ 1 2.17555- 4 1.79431- 3 1.60000+ 1 3.20000+ 1 2.53699- 6 1.82666- 3 1.60000+ 1 3.30000+ 1 1.01481- 5 1.82723- 3 1.60000+ 1 4.10000+ 1 1.96625- 5 1.82555- 3 1.80000+ 1 1.80000+ 1 9.37596- 3 1.48756- 3 1.80000+ 1 1.90000+ 1 2.73066- 2 1.54701- 3 1.80000+ 1 2.10000+ 1 2.61876- 2 1.69724- 3 1.80000+ 1 2.20000+ 1 4.23911- 2 1.70812- 3 1.80000+ 1 2.40000+ 1 1.19493- 2 1.89557- 3 1.80000+ 1 2.50000+ 1 2.03541- 2 1.89743- 3 1.80000+ 1 2.70000+ 1 2.05558- 3 1.85027- 3 1.80000+ 1 2.90000+ 1 2.15708- 3 1.87649- 3 1.80000+ 1 3.00000+ 1 3.48680- 3 1.88473- 3 1.80000+ 1 3.20000+ 1 2.20083- 4 1.91708- 3 1.80000+ 1 3.30000+ 1 3.27267- 4 1.91765- 3 1.80000+ 1 4.10000+ 1 1.78222- 4 1.91597- 3 1.90000+ 1 1.90000+ 1 7.55385- 4 1.60646- 3 1.90000+ 1 2.10000+ 1 2.00742- 3 1.75669- 3 1.90000+ 1 2.20000+ 1 1.64591- 3 1.76757- 3 1.90000+ 1 2.40000+ 1 8.54537- 3 1.95502- 3 1.90000+ 1 2.50000+ 1 2.38171- 3 1.95688- 3 1.90000+ 1 2.70000+ 1 2.05500- 4 1.90972- 3 1.90000+ 1 2.90000+ 1 2.54790- 3 1.93594- 3 1.90000+ 1 3.00000+ 1 1.64271- 4 1.94418- 3 1.90000+ 1 3.20000+ 1 1.39537- 5 1.97653- 3 1.90000+ 1 3.30000+ 1 1.14164- 5 1.97710- 3 1.90000+ 1 4.10000+ 1 1.71250- 5 1.97542- 3 2.10000+ 1 2.10000+ 1 8.75894- 4 1.90692- 3 2.10000+ 1 2.20000+ 1 2.46909- 3 1.91780- 3 2.10000+ 1 2.40000+ 1 1.01925- 3 2.10525- 3 2.10000+ 1 2.50000+ 1 1.88751- 3 2.10711- 3 2.10000+ 1 2.70000+ 1 6.08855- 5 2.05995- 3 2.10000+ 1 2.90000+ 1 2.38914- 3 2.08617- 3 2.10000+ 1 3.00000+ 1 2.25158- 4 2.09441- 3 2.10000+ 1 3.20000+ 1 1.26848- 5 2.12676- 3 2.10000+ 1 3.30000+ 1 1.83933- 5 2.12733- 3 2.10000+ 1 4.10000+ 1 5.07404- 6 2.12565- 3 2.20000+ 1 2.20000+ 1 5.85396- 4 1.92868- 3 2.20000+ 1 2.40000+ 1 3.28089- 3 2.11613- 3 2.20000+ 1 2.50000+ 1 7.07212- 4 2.11799- 3 2.20000+ 1 2.70000+ 1 1.90274- 4 2.07083- 3 2.20000+ 1 2.90000+ 1 3.92281- 3 2.09705- 3 2.20000+ 1 3.00000+ 1 1.66808- 4 2.10529- 3 2.20000+ 1 3.20000+ 1 1.83933- 5 2.13764- 3 2.20000+ 1 3.30000+ 1 8.24531- 6 2.13821- 3 2.20000+ 1 4.10000+ 1 1.58564- 5 2.13653- 3 2.40000+ 1 2.40000+ 1 2.31884- 3 2.30358- 3 2.40000+ 1 2.50000+ 1 1.49915- 2 2.30544- 3 2.40000+ 1 2.70000+ 1 3.17133- 6 2.25828- 3 2.40000+ 1 2.90000+ 1 1.00846- 3 2.28450- 3 2.40000+ 1 3.00000+ 1 1.02623- 3 2.29274- 3 2.40000+ 1 3.20000+ 1 9.51403- 6 2.32509- 3 2.40000+ 1 3.30000+ 1 2.72744- 5 2.32566- 3 2.50000+ 1 2.50000+ 1 7.82032- 4 2.30730- 3 2.50000+ 1 2.70000+ 1 1.17971- 4 2.26014- 3 2.50000+ 1 2.90000+ 1 1.70802- 3 2.28636- 3 2.50000+ 1 3.00000+ 1 2.58760- 4 2.29460- 3 2.50000+ 1 3.20000+ 1 1.58564- 5 2.32695- 3 2.50000+ 1 3.30000+ 1 5.70856- 6 2.32752- 3 2.50000+ 1 4.10000+ 1 1.01478- 5 2.32584- 3 2.70000+ 1 2.70000+ 1 1.99405- 5 2.21298- 3 2.70000+ 1 2.90000+ 1 2.46761- 4 2.23920- 3 2.70000+ 1 3.00000+ 1 3.15717- 5 2.24744- 3 2.70000+ 1 3.20000+ 1 8.30854- 7 2.27979- 3 2.70000+ 1 3.30000+ 1 1.66167- 6 2.28036- 3 2.70000+ 1 4.10000+ 1 3.32327- 6 2.27868- 3 2.90000+ 1 2.90000+ 1 2.53040- 4 2.26542- 3 2.90000+ 1 3.00000+ 1 6.98227- 4 2.27366- 3 2.90000+ 1 3.20000+ 1 4.33008- 5 2.30601- 3 2.90000+ 1 3.30000+ 1 6.49485- 5 2.30658- 3 2.90000+ 1 4.10000+ 1 3.51818- 5 2.30490- 3 3.00000+ 1 3.00000+ 1 5.38760- 5 2.28190- 3 3.00000+ 1 3.20000+ 1 1.15447- 5 2.31425- 3 3.00000+ 1 3.30000+ 1 7.69641- 6 2.31482- 3 3.00000+ 1 4.10000+ 1 1.15447- 5 2.31314- 3 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.71343- 5 3.73500- 4 1.40000+ 1 2.46433- 4 4.30300- 4 1.60000+ 1 9.32367- 4 1.57331- 3 2.10000+ 1 4.48212- 4 1.87341- 3 2.20000+ 1 3.54321- 3 1.88429- 3 2.70000+ 1 1.70182- 4 2.02644- 3 3.20000+ 1 5.20808- 6 2.09325- 3 3.30000+ 1 3.94018- 5 2.09382- 3 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.90000+ 1 5.22283- 2 0.00000+ 0 1.30000+ 1 2.10000+ 1 8.88980- 3 1.47910- 4 1.30000+ 1 2.20000+ 1 8.60905- 3 1.58790- 4 1.30000+ 1 2.40000+ 1 1.27976- 2 3.46240- 4 1.30000+ 1 2.50000+ 1 1.85879- 2 3.48100- 4 1.30000+ 1 2.70000+ 1 1.79490- 3 3.00940- 4 1.30000+ 1 2.90000+ 1 1.32084- 3 3.27160- 4 1.30000+ 1 3.00000+ 1 4.80674- 3 3.35400- 4 1.30000+ 1 3.20000+ 1 6.43132- 5 3.67750- 4 1.30000+ 1 3.30000+ 1 5.80893- 5 3.68320- 4 1.30000+ 1 4.10000+ 1 1.51067- 4 3.66640- 4 1.40000+ 1 1.80000+ 1 7.28274- 2 0.00000+ 0 1.40000+ 1 1.90000+ 1 1.08940- 1 5.44800- 5 1.40000+ 1 2.10000+ 1 3.98465- 2 2.04710- 4 1.40000+ 1 2.20000+ 1 5.61468- 2 2.15590- 4 1.40000+ 1 2.40000+ 1 1.28331- 1 4.03040- 4 1.40000+ 1 2.50000+ 1 1.53813- 1 4.04900- 4 1.40000+ 1 2.70000+ 1 1.05381- 2 3.57740- 4 1.40000+ 1 2.90000+ 1 8.99893- 3 3.83960- 4 1.40000+ 1 3.00000+ 1 1.23595- 2 3.92200- 4 1.40000+ 1 3.20000+ 1 2.91406- 4 4.24550- 4 1.40000+ 1 3.30000+ 1 3.97391- 4 4.25120- 4 1.40000+ 1 4.10000+ 1 8.91663- 4 4.23440- 4 1.60000+ 1 1.60000+ 1 5.90130- 4 1.04762- 3 1.60000+ 1 1.80000+ 1 9.58782- 4 1.13804- 3 1.60000+ 1 1.90000+ 1 1.52757- 2 1.19749- 3 1.60000+ 1 2.10000+ 1 9.00994- 4 1.34772- 3 1.60000+ 1 2.20000+ 1 1.00899- 3 1.35860- 3 1.60000+ 1 2.40000+ 1 1.20431- 3 1.54605- 3 1.60000+ 1 2.50000+ 1 1.92853- 3 1.54791- 3 1.60000+ 1 2.70000+ 1 1.53375- 4 1.50075- 3 1.60000+ 1 2.90000+ 1 1.03855- 4 1.52697- 3 1.60000+ 1 3.00000+ 1 1.35490- 3 1.53521- 3 1.60000+ 1 3.20000+ 1 6.87772- 6 1.56756- 3 1.60000+ 1 3.30000+ 1 6.87772- 6 1.56813- 3 1.60000+ 1 4.10000+ 1 1.23801- 5 1.56645- 3 1.80000+ 1 1.80000+ 1 9.14729- 5 1.22846- 3 1.80000+ 1 1.90000+ 1 1.83016- 2 1.28791- 3 1.80000+ 1 2.10000+ 1 4.16788- 4 1.43814- 3 1.80000+ 1 2.20000+ 1 3.52057- 3 1.44902- 3 1.80000+ 1 2.40000+ 1 1.35695- 3 1.63647- 3 1.80000+ 1 2.50000+ 1 7.75796- 3 1.63833- 3 1.80000+ 1 2.70000+ 1 1.11418- 4 1.59117- 3 1.80000+ 1 2.90000+ 1 1.85699- 5 1.61739- 3 1.80000+ 1 3.00000+ 1 1.64649- 3 1.62563- 3 1.80000+ 1 3.20000+ 1 3.43879- 6 1.65798- 3 1.80000+ 1 3.30000+ 1 2.33839- 5 1.65855- 3 1.80000+ 1 4.10000+ 1 8.94112- 6 1.65687- 3 1.90000+ 1 1.90000+ 1 2.50881- 2 1.34736- 3 1.90000+ 1 2.10000+ 1 3.52441- 2 1.49759- 3 1.90000+ 1 2.20000+ 1 4.65844- 2 1.50847- 3 1.90000+ 1 2.40000+ 1 2.30885- 2 1.69592- 3 1.90000+ 1 2.50000+ 1 2.62950- 2 1.69778- 3 1.90000+ 1 2.70000+ 1 2.47401- 3 1.65062- 3 1.90000+ 1 2.90000+ 1 2.44096- 3 1.67684- 3 1.90000+ 1 3.00000+ 1 5.44245- 3 1.68508- 3 1.90000+ 1 3.20000+ 1 2.89565- 4 1.71743- 3 1.90000+ 1 3.30000+ 1 3.56960- 4 1.71800- 3 1.90000+ 1 4.10000+ 1 2.13901- 4 1.71632- 3 2.10000+ 1 2.10000+ 1 2.27651- 4 1.64782- 3 2.10000+ 1 2.20000+ 1 4.92937- 3 1.65870- 3 2.10000+ 1 2.40000+ 1 5.69479- 4 1.84615- 3 2.10000+ 1 2.50000+ 1 6.90023- 3 1.84801- 3 2.10000+ 1 2.70000+ 1 9.42245- 5 1.80085- 3 2.10000+ 1 2.90000+ 1 2.95762- 5 1.82707- 3 2.10000+ 1 3.00000+ 1 3.13487- 3 1.83531- 3 2.10000+ 1 3.20000+ 1 3.43883- 6 1.86766- 3 2.10000+ 1 3.30000+ 1 3.43883- 5 1.86823- 3 2.10000+ 1 4.10000+ 1 7.56556- 6 1.86655- 3 2.20000+ 1 2.20000+ 1 2.28203- 3 1.66958- 3 2.20000+ 1 2.40000+ 1 5.58070- 3 1.85703- 3 2.20000+ 1 2.50000+ 1 4.76555- 3 1.85889- 3 2.20000+ 1 2.70000+ 1 1.07293- 4 1.81173- 3 2.20000+ 1 2.90000+ 1 2.84734- 4 1.83795- 3 2.20000+ 1 3.00000+ 1 4.10045- 3 1.84619- 3 2.20000+ 1 3.20000+ 1 3.64528- 5 1.87854- 3 2.20000+ 1 3.30000+ 1 3.16377- 5 1.87911- 3 2.20000+ 1 4.10000+ 1 8.94122- 6 1.87743- 3 2.40000+ 1 2.40000+ 1 6.82290- 4 2.04448- 3 2.40000+ 1 2.50000+ 1 1.84494- 2 2.04634- 3 2.40000+ 1 2.70000+ 1 1.19677- 4 1.99918- 3 2.40000+ 1 2.90000+ 1 1.52691- 4 2.02540- 3 2.40000+ 1 3.00000+ 1 1.96223- 3 2.03364- 3 2.40000+ 1 3.20000+ 1 5.50220- 6 2.06599- 3 2.40000+ 1 3.30000+ 1 4.12654- 5 2.06656- 3 2.40000+ 1 4.10000+ 1 9.62908- 6 2.06488- 3 2.50000+ 1 2.50000+ 1 7.17218- 3 2.04820- 3 2.50000+ 1 2.70000+ 1 1.56819- 4 2.00104- 3 2.50000+ 1 2.90000+ 1 8.75573- 4 2.02726- 3 2.50000+ 1 3.00000+ 1 2.30137- 3 2.03550- 3 2.50000+ 1 3.20000+ 1 5.63985- 5 2.06785- 3 2.50000+ 1 3.30000+ 1 3.71434- 5 2.06842- 3 2.50000+ 1 4.10000+ 1 1.23805- 5 2.06674- 3 2.70000+ 1 2.70000+ 1 1.66217- 5 1.95388- 3 2.70000+ 1 2.90000+ 1 1.99463- 5 1.98010- 3 2.70000+ 1 3.00000+ 1 3.54596- 4 1.98834- 3 2.70000+ 1 3.20000+ 1 1.10811- 6 2.02069- 3 2.70000+ 1 3.30000+ 1 1.10811- 6 2.02126- 3 2.70000+ 1 4.10000+ 1 3.32435- 6 2.01958- 3 2.90000+ 1 2.90000+ 1 1.28715- 6 2.00632- 3 2.90000+ 1 3.00000+ 1 4.13182- 4 2.01456- 3 2.90000+ 1 3.30000+ 1 3.86148- 6 2.04748- 3 2.90000+ 1 4.10000+ 1 2.57431- 6 2.04580- 3 3.00000+ 1 3.00000+ 1 1.29506- 3 2.02280- 3 3.00000+ 1 3.20000+ 1 1.18586- 4 2.05515- 3 3.00000+ 1 3.30000+ 1 1.43553- 4 2.05572- 3 3.00000+ 1 4.10000+ 1 8.73798- 5 2.05404- 3 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.29060- 3 1.29023- 3 1.90000+ 1 2.47750- 4 1.34968- 3 2.40000+ 1 1.37540- 2 1.69824- 3 2.90000+ 1 5.09869- 4 1.67916- 3 3.00000+ 1 5.49999- 5 1.68740- 3 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 1.06946- 1 2.95400- 5 1.40000+ 1 2.50000+ 1 1.45089- 2 3.14000- 5 1.40000+ 1 2.90000+ 1 5.14940- 4 1.04600- 5 1.40000+ 1 3.00000+ 1 1.48052- 3 1.87000- 5 1.40000+ 1 3.20000+ 1 9.64298- 4 5.10500- 5 1.40000+ 1 3.30000+ 1 1.26556- 4 5.16200- 5 1.40000+ 1 4.10000+ 1 1.18807- 4 4.99400- 5 1.60000+ 1 1.60000+ 1 3.72174- 5 6.74120- 4 1.60000+ 1 1.80000+ 1 1.79619- 3 7.64540- 4 1.60000+ 1 1.90000+ 1 1.25242- 3 8.23990- 4 1.60000+ 1 2.10000+ 1 4.49039- 2 9.74220- 4 1.60000+ 1 2.20000+ 1 5.31548- 3 9.85100- 4 1.60000+ 1 2.40000+ 1 1.43559- 2 1.17255- 3 1.60000+ 1 2.50000+ 1 4.46283- 3 1.17441- 3 1.60000+ 1 2.70000+ 1 2.10347- 5 1.12725- 3 1.60000+ 1 2.90000+ 1 1.92557- 4 1.15347- 3 1.60000+ 1 3.00000+ 1 1.10031- 4 1.16171- 3 1.60000+ 1 3.20000+ 1 2.86416- 4 1.19406- 3 1.60000+ 1 3.30000+ 1 3.23628- 5 1.19463- 3 1.60000+ 1 4.10000+ 1 1.61814- 6 1.19295- 3 1.80000+ 1 1.80000+ 1 1.04533- 3 8.54960- 4 1.80000+ 1 1.90000+ 1 6.56164- 3 9.14410- 4 1.80000+ 1 2.10000+ 1 3.92398- 2 1.06464- 3 1.80000+ 1 2.20000+ 1 3.11817- 3 1.07552- 3 1.80000+ 1 2.40000+ 1 8.96761- 3 1.26297- 3 1.80000+ 1 2.50000+ 1 4.52431- 3 1.26483- 3 1.80000+ 1 2.70000+ 1 2.00661- 4 1.21767- 3 1.80000+ 1 2.90000+ 1 2.26538- 4 1.24389- 3 1.80000+ 1 3.00000+ 1 6.42431- 4 1.25213- 3 1.80000+ 1 3.20000+ 1 2.49196- 4 1.28448- 3 1.80000+ 1 3.30000+ 1 2.10351- 5 1.28505- 3 1.80000+ 1 4.10000+ 1 1.61817- 5 1.28337- 3 1.90000+ 1 1.90000+ 1 2.35776- 3 9.73860- 4 1.90000+ 1 2.10000+ 1 8.16537- 2 1.12409- 3 1.90000+ 1 2.20000+ 1 3.07129- 3 1.13497- 3 1.90000+ 1 2.40000+ 1 4.51935- 3 1.32242- 3 1.90000+ 1 2.50000+ 1 2.47411- 3 1.32428- 3 1.90000+ 1 2.70000+ 1 1.56949- 4 1.27712- 3 1.90000+ 1 2.90000+ 1 6.01920- 4 1.30334- 3 1.90000+ 1 3.00000+ 1 4.41751- 4 1.31158- 3 1.90000+ 1 3.20000+ 1 5.22659- 4 1.34393- 3 1.90000+ 1 3.30000+ 1 1.94176- 5 1.34450- 3 1.90000+ 1 4.10000+ 1 1.29454- 5 1.34282- 3 2.10000+ 1 2.10000+ 1 7.02781- 2 1.27432- 3 2.10000+ 1 2.20000+ 1 1.41163- 1 1.28520- 3 2.10000+ 1 2.40000+ 1 5.65809- 2 1.47265- 3 2.10000+ 1 2.50000+ 1 7.02661- 2 1.47451- 3 2.10000+ 1 2.70000+ 1 6.75422- 3 1.42735- 3 2.10000+ 1 2.90000+ 1 5.26531- 3 1.45357- 3 2.10000+ 1 3.00000+ 1 1.01795- 2 1.46181- 3 2.10000+ 1 3.20000+ 1 1.03234- 3 1.49416- 3 2.10000+ 1 3.30000+ 1 1.07117- 3 1.49473- 3 2.10000+ 1 4.10000+ 1 5.79287- 4 1.49305- 3 2.20000+ 1 2.20000+ 1 2.29608- 3 1.29608- 3 2.20000+ 1 2.40000+ 1 6.01743- 2 1.48353- 3 2.20000+ 1 2.50000+ 1 3.26537- 3 1.48539- 3 2.20000+ 1 2.70000+ 1 4.57941- 4 1.43823- 3 2.20000+ 1 2.90000+ 1 2.79951- 4 1.46445- 3 2.20000+ 1 3.00000+ 1 3.17149- 4 1.47269- 3 2.20000+ 1 3.20000+ 1 9.07766- 4 1.50504- 3 2.20000+ 1 3.30000+ 1 2.91272- 5 1.50561- 3 2.20000+ 1 4.10000+ 1 3.72180- 5 1.50393- 3 2.40000+ 1 2.40000+ 1 4.65708- 2 1.67098- 3 2.40000+ 1 2.50000+ 1 1.35156- 1 1.67284- 3 2.40000+ 1 2.70000+ 1 2.21856- 3 1.62568- 3 2.40000+ 1 2.90000+ 1 9.98416- 4 1.65190- 3 2.40000+ 1 3.00000+ 1 5.58283- 4 1.66014- 3 2.40000+ 1 3.20000+ 1 3.80275- 4 1.69249- 3 2.40000+ 1 3.30000+ 1 4.41763- 4 1.69306- 3 2.40000+ 1 4.10000+ 1 1.95800- 4 1.69138- 3 2.50000+ 1 2.50000+ 1 3.38366- 3 1.67470- 3 2.50000+ 1 2.70000+ 1 5.94620- 4 1.62754- 3 2.50000+ 1 2.90000+ 1 3.47188- 4 1.65376- 3 2.50000+ 1 3.00000+ 1 3.31852- 4 1.66200- 3 2.50000+ 1 3.20000+ 1 5.02545- 4 1.69435- 3 2.50000+ 1 3.30000+ 1 2.68535- 5 1.69492- 3 2.50000+ 1 4.10000+ 1 4.98710- 5 1.69324- 3 2.70000+ 1 2.70000+ 1 8.75745- 6 1.58038- 3 2.70000+ 1 2.90000+ 1 1.22601- 4 1.60660- 3 2.70000+ 1 3.00000+ 1 7.88179- 5 1.61484- 3 2.70000+ 1 3.20000+ 1 2.36448- 4 1.64719- 3 2.70000+ 1 3.30000+ 1 1.75148- 5 1.64776- 3 2.90000+ 1 2.90000+ 1 8.92059- 5 1.63282- 3 2.90000+ 1 3.00000+ 1 4.23715- 4 1.64106- 3 2.90000+ 1 3.20000+ 1 2.34167- 4 1.67341- 3 2.90000+ 1 3.30000+ 1 1.11506- 5 1.67398- 3 2.90000+ 1 4.10000+ 1 1.11506- 5 1.67230- 3 3.00000+ 1 3.00000+ 1 2.68577- 4 1.64930- 3 3.00000+ 1 3.20000+ 1 8.26399- 4 1.68165- 3 3.00000+ 1 3.30000+ 1 2.06609- 5 1.68222- 3 3.00000+ 1 4.10000+ 1 2.06609- 5 1.68054- 3 3.20000+ 1 3.30000+ 1 6.47230- 6 1.71457- 3 3.20000+ 1 4.10000+ 1 3.23629- 6 1.71289- 3 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.09000- 3 1.29288- 3 2.40000+ 1 7.57862- 4 1.64144- 3 2.50000+ 1 1.47200- 2 1.64330- 3 3.00000+ 1 5.58671- 4 1.63060- 3 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 5.36262- 6 6.17320- 4 1.60000+ 1 1.80000+ 1 4.27218- 4 7.07740- 4 1.60000+ 1 1.90000+ 1 3.17466- 3 7.67190- 4 1.60000+ 1 2.10000+ 1 4.77630- 3 9.17420- 4 1.60000+ 1 2.20000+ 1 5.31144- 2 9.28300- 4 1.60000+ 1 2.40000+ 1 4.88883- 3 1.11575- 3 1.60000+ 1 2.50000+ 1 1.67717- 2 1.11761- 3 1.60000+ 1 2.70000+ 1 1.43005- 5 1.07045- 3 1.60000+ 1 2.90000+ 1 2.14507- 5 1.09667- 3 1.60000+ 1 3.00000+ 1 2.93153- 4 1.10491- 3 1.60000+ 1 3.20000+ 1 3.03877- 5 1.13726- 3 1.60000+ 1 3.30000+ 1 3.14602- 4 1.13783- 3 1.60000+ 1 4.10000+ 1 1.78760- 6 1.13615- 3 1.80000+ 1 1.80000+ 1 7.14982- 6 7.98160- 4 1.80000+ 1 1.90000+ 1 7.98475- 3 8.57610- 4 1.80000+ 1 2.10000+ 1 4.32575- 4 1.00784- 3 1.80000+ 1 2.20000+ 1 5.40043- 2 1.01872- 3 1.80000+ 1 2.40000+ 1 2.28265- 3 1.20617- 3 1.80000+ 1 2.50000+ 1 8.41575- 3 1.20803- 3 1.80000+ 1 2.70000+ 1 4.64759- 5 1.16087- 3 1.80000+ 1 2.90000+ 1 3.57501- 6 1.18709- 3 1.80000+ 1 3.00000+ 1 7.32860- 4 1.19533- 3 1.80000+ 1 3.20000+ 1 1.78760- 6 1.22768- 3 1.80000+ 1 3.30000+ 1 3.21755- 4 1.22825- 3 1.80000+ 1 4.10000+ 1 3.57501- 6 1.22657- 3 1.90000+ 1 1.90000+ 1 5.87345- 3 9.17060- 4 1.90000+ 1 2.10000+ 1 5.05481- 3 1.06729- 3 1.90000+ 1 2.20000+ 1 8.40419- 2 1.07817- 3 1.90000+ 1 2.40000+ 1 3.00292- 3 1.26562- 3 1.90000+ 1 2.50000+ 1 6.55273- 3 1.26748- 3 1.90000+ 1 2.70000+ 1 4.05750- 4 1.22032- 3 1.90000+ 1 2.90000+ 1 7.14950- 4 1.24654- 3 1.90000+ 1 3.00000+ 1 1.11353- 3 1.25478- 3 1.90000+ 1 3.20000+ 1 3.75362- 5 1.28713- 3 1.90000+ 1 3.30000+ 1 4.98687- 4 1.28770- 3 1.90000+ 1 4.10000+ 1 3.39608- 5 1.28602- 3 2.10000+ 1 2.10000+ 1 1.08674- 3 1.21752- 3 2.10000+ 1 2.20000+ 1 1.11517- 1 1.22840- 3 2.10000+ 1 2.40000+ 1 3.02807- 3 1.41585- 3 2.10000+ 1 2.50000+ 1 4.06603- 2 1.41771- 3 2.10000+ 1 2.70000+ 1 3.96826- 4 1.37055- 3 2.10000+ 1 2.90000+ 1 6.25627- 5 1.39677- 3 2.10000+ 1 3.00000+ 1 4.73685- 4 1.40501- 3 2.10000+ 1 3.20000+ 1 1.43004- 5 1.43736- 3 2.10000+ 1 3.30000+ 1 6.68536- 4 1.43793- 3 2.10000+ 1 4.10000+ 1 3.21752- 5 1.43625- 3 2.20000+ 1 2.20000+ 1 1.25993- 1 1.23928- 3 2.20000+ 1 2.40000+ 1 6.81273- 2 1.42673- 3 2.20000+ 1 2.50000+ 1 1.04913- 1 1.42859- 3 2.20000+ 1 2.70000+ 1 7.72728- 3 1.38143- 3 2.20000+ 1 2.90000+ 1 6.96577- 3 1.40765- 3 2.20000+ 1 3.00000+ 1 1.05462- 2 1.41589- 3 2.20000+ 1 3.20000+ 1 9.06273- 4 1.44824- 3 2.20000+ 1 3.30000+ 1 1.71057- 3 1.44881- 3 2.20000+ 1 4.10000+ 1 6.61370- 4 1.44713- 3 2.40000+ 1 2.40000+ 1 4.05252- 3 1.61418- 3 2.40000+ 1 2.50000+ 1 1.29480- 1 1.61604- 3 2.40000+ 1 2.70000+ 1 5.84536- 4 1.56888- 3 2.40000+ 1 2.90000+ 1 2.73496- 4 1.59510- 3 2.40000+ 1 3.00000+ 1 2.98528- 4 1.60334- 3 2.40000+ 1 3.20000+ 1 2.32382- 5 1.63569- 3 2.40000+ 1 3.30000+ 1 3.89688- 4 1.63626- 3 2.40000+ 1 4.10000+ 1 4.82653- 5 1.63458- 3 2.50000+ 1 2.50000+ 1 8.80201- 2 1.61790- 3 2.50000+ 1 2.70000+ 1 2.51691- 3 1.57074- 3 2.50000+ 1 2.90000+ 1 1.07968- 3 1.59696- 3 2.50000+ 1 3.00000+ 1 7.56121- 4 1.60520- 3 2.50000+ 1 3.20000+ 1 3.16389- 4 1.63755- 3 2.50000+ 1 3.30000+ 1 6.68546- 4 1.63812- 3 2.50000+ 1 4.10000+ 1 2.23438- 4 1.63644- 3 2.70000+ 1 2.70000+ 1 1.26100- 5 1.52358- 3 2.70000+ 1 2.90000+ 1 1.26100- 5 1.54980- 3 2.70000+ 1 3.00000+ 1 2.77403- 4 1.55804- 3 2.70000+ 1 3.20000+ 1 2.52187- 5 1.59039- 3 2.70000+ 1 3.30000+ 1 3.27849- 4 1.59096- 3 2.90000+ 1 3.00000+ 1 3.73952- 4 1.58426- 3 2.90000+ 1 3.30000+ 1 2.20539- 4 1.61718- 3 3.00000+ 1 3.00000+ 1 4.29778- 4 1.59250- 3 3.00000+ 1 3.20000+ 1 2.86513- 5 1.62485- 3 3.00000+ 1 3.30000+ 1 5.01402- 4 1.62542- 3 3.00000+ 1 4.10000+ 1 2.86513- 5 1.62374- 3 3.20000+ 1 3.30000+ 1 5.36271- 6 1.65777- 3 3.30000+ 1 3.30000+ 1 1.78763- 6 1.65834- 3 3.30000+ 1 4.10000+ 1 3.57508- 6 1.65666- 3 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.83852- 5 9.04200- 5 1.90000+ 1 1.74123- 4 1.49870- 4 2.90000+ 1 9.22232- 5 4.79350- 4 3.00000+ 1 5.40121- 5 4.87590- 4 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 2.29590- 2 6.31600- 5 1.80000+ 1 2.50000+ 1 2.94396- 2 6.50200- 5 1.80000+ 1 2.70000+ 1 3.54720- 2 1.78600- 5 1.80000+ 1 2.90000+ 1 3.02450- 2 4.40800- 5 1.80000+ 1 3.00000+ 1 5.61219- 2 5.23200- 5 1.80000+ 1 3.20000+ 1 3.18392- 3 8.46700- 5 1.80000+ 1 3.30000+ 1 5.45840- 3 8.52400- 5 1.80000+ 1 4.10000+ 1 2.99567- 3 8.35600- 5 1.90000+ 1 2.40000+ 1 1.36797- 1 1.22610- 4 1.90000+ 1 2.50000+ 1 1.67904- 1 1.24470- 4 1.90000+ 1 2.70000+ 1 4.17187- 2 7.73100- 5 1.90000+ 1 2.90000+ 1 4.41507- 2 1.03530- 4 1.90000+ 1 3.00000+ 1 5.17989- 2 1.11770- 4 1.90000+ 1 3.20000+ 1 4.42598- 3 1.44120- 4 1.90000+ 1 3.30000+ 1 5.05707- 3 1.44690- 4 1.90000+ 1 4.10000+ 1 3.48044- 3 1.43010- 4 2.10000+ 1 2.10000+ 1 3.67777- 3 7.45100- 5 2.10000+ 1 2.20000+ 1 1.26771- 2 8.53900- 5 2.10000+ 1 2.40000+ 1 4.88313- 3 2.72840- 4 2.10000+ 1 2.50000+ 1 1.10867- 2 2.74700- 4 2.10000+ 1 2.70000+ 1 1.46274- 2 2.27540- 4 2.10000+ 1 2.90000+ 1 3.32781- 3 2.53760- 4 2.10000+ 1 3.00000+ 1 7.72321- 3 2.62000- 4 2.10000+ 1 3.20000+ 1 1.27088- 4 2.94350- 4 2.10000+ 1 3.30000+ 1 1.11346- 4 2.94920- 4 2.10000+ 1 4.10000+ 1 1.01318- 3 2.93240- 4 2.20000+ 1 2.20000+ 1 7.87699- 3 9.62700- 5 2.20000+ 1 2.40000+ 1 1.26173- 2 2.83720- 4 2.20000+ 1 2.50000+ 1 1.12715- 2 2.85580- 4 2.20000+ 1 2.70000+ 1 2.08919- 2 2.38420- 4 2.20000+ 1 2.90000+ 1 8.02173- 3 2.64640- 4 2.20000+ 1 3.00000+ 1 7.41949- 3 2.72880- 4 2.20000+ 1 3.20000+ 1 1.07356- 4 3.05230- 4 2.20000+ 1 3.30000+ 1 1.82200- 4 3.05800- 4 2.20000+ 1 4.10000+ 1 1.44445- 3 3.04120- 4 2.40000+ 1 2.40000+ 1 6.10001- 3 4.71170- 4 2.40000+ 1 2.50000+ 1 1.36832- 2 4.73030- 4 2.40000+ 1 2.70000+ 1 1.43318- 2 4.25870- 4 2.40000+ 1 2.90000+ 1 1.74288- 3 4.52090- 4 2.40000+ 1 3.00000+ 1 4.77129- 3 4.60330- 4 2.40000+ 1 3.20000+ 1 4.70610- 5 4.92680- 4 2.40000+ 1 3.30000+ 1 3.28444- 5 4.93250- 4 2.40000+ 1 4.10000+ 1 9.13132- 4 4.91570- 4 2.50000+ 1 2.50000+ 1 1.01811- 2 4.74890- 4 2.50000+ 1 2.70000+ 1 1.85649- 2 4.27730- 4 2.50000+ 1 2.90000+ 1 1.02937- 3 4.53950- 4 2.50000+ 1 3.00000+ 1 5.88292- 3 4.62190- 4 2.50000+ 1 3.20000+ 1 3.00671- 5 4.94540- 4 2.50000+ 1 3.30000+ 1 6.84658- 5 4.95110- 4 2.50000+ 1 4.10000+ 1 1.18128- 3 4.93430- 4 2.70000+ 1 2.70000+ 1 2.23274- 2 3.80570- 4 2.70000+ 1 2.90000+ 1 2.80673- 2 4.06790- 4 2.70000+ 1 3.00000+ 1 4.62397- 2 4.15030- 4 2.70000+ 1 3.20000+ 1 3.30209- 3 4.47380- 4 2.70000+ 1 3.30000+ 1 4.37189- 3 4.47950- 4 2.70000+ 1 4.10000+ 1 3.39472- 3 4.46270- 4 2.90000+ 1 2.90000+ 1 3.65934- 3 4.33010- 4 2.90000+ 1 3.00000+ 1 1.51549- 2 4.41250- 4 2.90000+ 1 3.20000+ 1 4.94101- 4 4.73600- 4 2.90000+ 1 3.30000+ 1 5.32646- 4 4.74170- 4 2.90000+ 1 4.10000+ 1 3.04170- 3 4.72490- 4 3.00000+ 1 3.00000+ 1 1.21479- 2 4.49490- 4 3.00000+ 1 3.20000+ 1 7.38715- 4 4.81840- 4 3.00000+ 1 3.30000+ 1 1.05061- 3 4.82410- 4 3.00000+ 1 4.10000+ 1 5.40933- 3 4.80730- 4 3.20000+ 1 3.30000+ 1 3.08785- 5 5.14760- 4 3.20000+ 1 4.10000+ 1 3.62833- 4 5.13080- 4 3.30000+ 1 4.10000+ 1 4.78644- 4 5.13650- 4 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 5.98273- 4 2.09680- 4 2.70000+ 1 1.32698- 4 3.62710- 4 3.20000+ 1 9.29750- 7 4.29520- 4 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 5.66943- 2 3.21900- 5 1.90000+ 1 2.50000+ 1 4.51214- 2 3.40500- 5 1.90000+ 1 2.90000+ 1 9.90297- 3 1.31100- 5 1.90000+ 1 3.00000+ 1 9.80176- 3 2.13500- 5 1.90000+ 1 3.20000+ 1 5.44095- 4 5.37000- 5 1.90000+ 1 3.30000+ 1 7.92029- 4 5.42700- 5 1.90000+ 1 4.10000+ 1 1.11224- 3 5.25900- 5 2.10000+ 1 2.20000+ 1 5.24038- 2 0.00000+ 0 2.10000+ 1 2.40000+ 1 1.48659- 1 1.82420- 4 2.10000+ 1 2.50000+ 1 3.14764- 1 1.84280- 4 2.10000+ 1 2.70000+ 1 3.21552- 2 1.37120- 4 2.10000+ 1 2.90000+ 1 2.32133- 2 1.63340- 4 2.10000+ 1 3.00000+ 1 3.75145- 2 1.71580- 4 2.10000+ 1 3.20000+ 1 1.78975- 3 2.03930- 4 2.10000+ 1 3.30000+ 1 3.19023- 3 2.04500- 4 2.10000+ 1 4.10000+ 1 2.77494- 3 2.02820- 4 2.20000+ 1 2.20000+ 1 8.59838- 3 5.85000- 6 2.20000+ 1 2.40000+ 1 3.94839- 2 1.93300- 4 2.20000+ 1 2.50000+ 1 1.02564- 2 1.95160- 4 2.20000+ 1 2.70000+ 1 5.24914- 3 1.48000- 4 2.20000+ 1 2.90000+ 1 2.15376- 2 1.74220- 4 2.20000+ 1 3.00000+ 1 4.41332- 3 1.82460- 4 2.20000+ 1 3.20000+ 1 3.18591- 4 2.14810- 4 2.20000+ 1 3.30000+ 1 1.79192- 4 2.15380- 4 2.20000+ 1 4.10000+ 1 3.84575- 4 2.13700- 4 2.40000+ 1 2.40000+ 1 3.04099- 3 3.80750- 4 2.40000+ 1 2.50000+ 1 2.09541- 2 3.82610- 4 2.40000+ 1 2.70000+ 1 3.57417- 3 3.35450- 4 2.40000+ 1 2.90000+ 1 1.44666- 2 3.61670- 4 2.40000+ 1 3.00000+ 1 3.75221- 3 3.69910- 4 2.40000+ 1 3.20000+ 1 3.46072- 4 4.02260- 4 2.40000+ 1 3.30000+ 1 1.18470- 4 4.02830- 4 2.40000+ 1 4.10000+ 1 3.01989- 4 4.01150- 4 2.50000+ 1 2.50000+ 1 1.18652- 3 3.84470- 4 2.50000+ 1 2.70000+ 1 2.78519- 3 3.37310- 4 2.50000+ 1 2.90000+ 1 3.30535- 2 3.63530- 4 2.50000+ 1 3.00000+ 1 2.17256- 3 3.71770- 4 2.50000+ 1 3.20000+ 1 9.60690- 4 4.04120- 4 2.50000+ 1 3.30000+ 1 6.29089- 5 4.04690- 4 2.50000+ 1 4.10000+ 1 1.98260- 4 4.03010- 4 2.70000+ 1 2.70000+ 1 5.31541- 4 2.90150- 4 2.70000+ 1 2.90000+ 1 7.89219- 3 3.16370- 4 2.70000+ 1 3.00000+ 1 1.32935- 3 3.24610- 4 2.70000+ 1 3.20000+ 1 1.83860- 4 3.56960- 4 2.70000+ 1 3.30000+ 1 1.09195- 4 3.57530- 4 2.70000+ 1 4.10000+ 1 7.57698- 5 3.55850- 4 2.90000+ 1 2.90000+ 1 1.57159- 2 3.42590- 4 2.90000+ 1 3.00000+ 1 4.27595- 2 3.50830- 4 2.90000+ 1 3.20000+ 1 2.49981- 3 3.83180- 4 2.90000+ 1 3.30000+ 1 4.04693- 3 3.83750- 4 2.90000+ 1 4.10000+ 1 2.37019- 3 3.82070- 4 3.00000+ 1 3.00000+ 1 2.20022- 3 3.59070- 4 3.00000+ 1 3.20000+ 1 1.00054- 3 3.91420- 4 3.00000+ 1 3.30000+ 1 2.96074- 4 3.91990- 4 3.00000+ 1 4.10000+ 1 4.23720- 4 3.90310- 4 3.20000+ 1 3.30000+ 1 1.84361- 6 4.24340- 4 3.20000+ 1 4.10000+ 1 2.34645- 6 4.22660- 4 3.30000+ 1 4.10000+ 1 1.17309- 6 4.23230- 4 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.44279- 5 1.50230- 4 2.20000+ 1 1.62152- 4 1.61110- 4 2.70000+ 1 8.98151- 5 3.03260- 4 3.20000+ 1 2.83094- 7 3.70070- 4 3.30000+ 1 1.51837- 6 3.70640- 4 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.80062- 2 1.22970- 4 2.10000+ 1 2.50000+ 1 5.15702- 2 1.24830- 4 2.10000+ 1 2.70000+ 1 1.19702- 2 7.76700- 5 2.10000+ 1 2.90000+ 1 9.15531- 3 1.03890- 4 2.10000+ 1 3.00000+ 1 3.26671- 2 1.12130- 4 2.10000+ 1 3.20000+ 1 6.98885- 4 1.44480- 4 2.10000+ 1 3.30000+ 1 1.42576- 3 1.45050- 4 2.10000+ 1 4.10000+ 1 9.85442- 4 1.43370- 4 2.20000+ 1 2.40000+ 1 2.40408- 1 1.33850- 4 2.20000+ 1 2.50000+ 1 2.55207- 1 1.35710- 4 2.20000+ 1 2.70000+ 1 6.16301- 2 8.85500- 5 2.20000+ 1 2.90000+ 1 6.15967- 2 1.14770- 4 2.20000+ 1 3.00000+ 1 8.46317- 2 1.23010- 4 2.20000+ 1 3.20000+ 1 6.00894- 3 1.55360- 4 2.20000+ 1 3.30000+ 1 6.46545- 3 1.55930- 4 2.20000+ 1 4.10000+ 1 5.30688- 3 1.54250- 4 2.40000+ 1 2.40000+ 1 8.06132- 4 3.21300- 4 2.40000+ 1 2.50000+ 1 2.21830- 2 3.23160- 4 2.40000+ 1 2.70000+ 1 4.78104- 3 2.76000- 4 2.40000+ 1 2.90000+ 1 2.11919- 3 3.02220- 4 2.40000+ 1 3.00000+ 1 2.99139- 2 3.10460- 4 2.40000+ 1 3.20000+ 1 7.42602- 5 3.42810- 4 2.40000+ 1 3.30000+ 1 4.53600- 4 3.43380- 4 2.40000+ 1 4.10000+ 1 3.10434- 4 3.41700- 4 2.50000+ 1 2.50000+ 1 9.19624- 3 3.25020- 4 2.50000+ 1 2.70000+ 1 1.00792- 2 2.77860- 4 2.50000+ 1 2.90000+ 1 8.16986- 3 3.04080- 4 2.50000+ 1 3.00000+ 1 3.61649- 2 3.12320- 4 2.50000+ 1 3.20000+ 1 8.87358- 5 3.44670- 4 2.50000+ 1 3.30000+ 1 5.39123- 4 3.45240- 4 2.50000+ 1 4.10000+ 1 7.29451- 4 3.43560- 4 2.70000+ 1 2.70000+ 1 8.34892- 6 2.30700- 4 2.70000+ 1 2.90000+ 1 3.12691- 4 2.56920- 4 2.70000+ 1 3.00000+ 1 6.07187- 3 2.65160- 4 2.70000+ 1 3.20000+ 1 5.46454- 5 2.97510- 4 2.70000+ 1 3.30000+ 1 1.07016- 4 2.98080- 4 2.70000+ 1 4.10000+ 1 2.27695- 6 2.96400- 4 2.90000+ 1 2.90000+ 1 2.32231- 5 2.83140- 4 2.90000+ 1 3.00000+ 1 4.30597- 3 2.91380- 4 2.90000+ 1 3.20000+ 1 2.15654- 5 3.23730- 4 2.90000+ 1 3.30000+ 1 7.74158- 5 3.24300- 4 2.90000+ 1 4.10000+ 1 1.65891- 5 3.22620- 4 3.00000+ 1 3.00000+ 1 1.20967- 2 2.99620- 4 3.00000+ 1 3.20000+ 1 1.07412- 3 3.31970- 4 3.00000+ 1 3.30000+ 1 1.36659- 3 3.32540- 4 3.00000+ 1 4.10000+ 1 8.41506- 4 3.30860- 4 3.20000+ 1 3.30000+ 1 3.21697- 6 3.64890- 4 3.20000+ 1 4.10000+ 1 1.34039- 6 3.63210- 4 3.30000+ 1 3.30000+ 1 5.36170- 7 3.65460- 4 3.30000+ 1 4.10000+ 1 3.21700- 6 3.63780- 4 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 7.54559- 5 1.98330- 4 2.90000+ 1 1.93370- 5 1.79250- 4 3.00000+ 1 2.84769- 6 1.87490- 4 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.20000+ 1 6.59081- 3 5.13000- 6 2.20000+ 1 3.30000+ 1 1.00217- 3 5.70000- 6 2.20000+ 1 4.10000+ 1 4.83604- 4 4.02000- 6 2.40000+ 1 2.40000+ 1 1.77083- 1 1.71070- 4 2.40000+ 1 2.50000+ 1 5.51627- 1 1.72930- 4 2.40000+ 1 2.70000+ 1 6.04410- 2 1.25770- 4 2.40000+ 1 2.90000+ 1 4.90737- 2 1.51990- 4 2.40000+ 1 3.00000+ 1 7.27480- 2 1.60230- 4 2.40000+ 1 3.20000+ 1 6.89688- 3 1.92580- 4 2.40000+ 1 3.30000+ 1 6.59457- 3 1.93150- 4 2.40000+ 1 4.10000+ 1 5.31417- 3 1.91470- 4 2.50000+ 1 2.50000+ 1 6.65434- 3 1.74790- 4 2.50000+ 1 2.70000+ 1 6.43244- 3 1.27630- 4 2.50000+ 1 2.90000+ 1 1.55194- 2 1.53850- 4 2.50000+ 1 3.00000+ 1 5.33276- 3 1.62090- 4 2.50000+ 1 3.20000+ 1 8.01931- 3 1.94440- 4 2.50000+ 1 3.30000+ 1 2.86741- 4 1.95010- 4 2.50000+ 1 4.10000+ 1 4.68880- 4 1.93330- 4 2.70000+ 1 2.70000+ 1 1.42659- 3 8.04700- 5 2.70000+ 1 2.90000+ 1 1.70488- 3 1.06690- 4 2.70000+ 1 3.00000+ 1 1.88231- 3 1.14930- 4 2.70000+ 1 3.20000+ 1 7.51653- 4 1.47280- 4 2.70000+ 1 3.30000+ 1 2.68451- 4 1.47850- 4 2.70000+ 1 4.10000+ 1 1.39196- 4 1.46170- 4 2.90000+ 1 2.90000+ 1 1.54738- 3 1.32910- 4 2.90000+ 1 3.00000+ 1 4.96297- 3 1.41150- 4 2.90000+ 1 3.20000+ 1 1.10148- 3 1.73500- 4 2.90000+ 1 3.30000+ 1 3.29389- 4 1.74070- 4 2.90000+ 1 4.10000+ 1 2.34067- 4 1.72390- 4 3.00000+ 1 3.00000+ 1 2.19276- 3 1.49390- 4 3.00000+ 1 3.20000+ 1 2.26477- 3 1.81740- 4 3.00000+ 1 3.30000+ 1 2.08660- 4 1.82310- 4 3.00000+ 1 4.10000+ 1 1.98896- 4 1.80630- 4 3.20000+ 1 3.30000+ 1 6.56223- 5 2.14660- 4 3.20000+ 1 4.10000+ 1 4.73275- 5 2.12980- 4 3.30000+ 1 3.30000+ 1 3.97707- 7 2.15230- 4 3.30000+ 1 4.10000+ 1 6.76098- 6 2.13550- 4 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 3.47442- 6 1.87450- 4 2.50000+ 1 7.21243- 5 1.89310- 4 3.00000+ 1 1.82001- 5 1.76610- 4 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 1.11304- 2 1.60190- 4 2.40000+ 1 2.50000+ 1 4.15340- 1 1.62050- 4 2.40000+ 1 2.70000+ 1 8.28899- 3 1.14890- 4 2.40000+ 1 2.90000+ 1 4.72772- 3 1.41110- 4 2.40000+ 1 3.00000+ 1 1.38427- 2 1.49350- 4 2.40000+ 1 3.20000+ 1 3.58276- 4 1.81700- 4 2.40000+ 1 3.30000+ 1 6.56040- 3 1.82270- 4 2.40000+ 1 4.10000+ 1 6.53341- 4 1.80590- 4 2.50000+ 1 2.50000+ 1 3.03749- 1 1.63910- 4 2.50000+ 1 2.70000+ 1 6.35131- 2 1.16750- 4 2.50000+ 1 2.90000+ 1 6.30200- 2 1.42970- 4 2.50000+ 1 3.00000+ 1 7.29733- 2 1.51210- 4 2.50000+ 1 3.20000+ 1 5.92209- 3 1.83560- 4 2.50000+ 1 3.30000+ 1 1.11533- 2 1.84130- 4 2.50000+ 1 4.10000+ 1 5.59129- 3 1.82450- 4 2.70000+ 1 2.70000+ 1 2.06578- 3 6.95900- 5 2.70000+ 1 2.90000+ 1 1.34584- 3 9.58100- 5 2.70000+ 1 3.00000+ 1 3.28282- 3 1.04050- 4 2.70000+ 1 3.20000+ 1 2.79881- 4 1.36400- 4 2.70000+ 1 3.30000+ 1 9.19735- 4 1.36970- 4 2.70000+ 1 4.10000+ 1 1.95578- 4 1.35290- 4 2.90000+ 1 2.90000+ 1 2.22546- 4 1.22030- 4 2.90000+ 1 3.00000+ 1 2.11086- 3 1.30270- 4 2.90000+ 1 3.20000+ 1 3.16128- 5 1.62620- 4 2.90000+ 1 3.30000+ 1 4.96102- 4 1.63190- 4 2.90000+ 1 4.10000+ 1 5.47953- 5 1.61510- 4 3.00000+ 1 3.00000+ 1 9.88840- 4 1.38510- 4 3.00000+ 1 3.20000+ 1 1.12543- 4 1.70860- 4 3.00000+ 1 3.30000+ 1 7.30461- 4 1.71430- 4 3.00000+ 1 4.10000+ 1 1.20963- 4 1.69750- 4 3.20000+ 1 3.30000+ 1 5.26881- 5 2.03780- 4 3.20000+ 1 4.10000+ 1 7.58712- 6 2.02100- 4 3.30000+ 1 3.30000+ 1 1.09593- 5 2.04350- 4 3.30000+ 1 4.10000+ 1 5.22659- 5 2.02670- 4 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.34672- 7 2.62200- 5 3.00000+ 1 1.54591- 6 3.44600- 5 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 4.07183- 1 1.93600- 5 3.00000+ 1 4.10000+ 1 5.85634- 1 2.76000- 5 4.10000+ 1 4.10000+ 1 7.18075- 3 5.88400- 5 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 2.16439- 8 4.05900- 5 4.10000+ 1 6.25888- 9 3.94800- 5 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 4.10000+ 1 9.97476- 1 1.38000- 6 4.10000+ 1 4.10000+ 1 2.52359- 3 3.26200- 5 1 72000 0 7 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 5.11600-10 3.23500- 5 3.30000+ 1 4.67570- 9 3.29200- 5 4.10000+ 1 2.31500- 9 3.12400- 5 1 72000 0 9 1.78490+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 4.10000+ 1 4.10000+ 1 1.00000+ 0 2.43800- 5 1 73000 0 0 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 1.20000+ 0 3.30000+ 1 1.80000+ 0 4.10000+ 1 2.00000+ 0 1 73000 0 0 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.75650- 2 3.00000+ 0 1.16560- 2 5.00000+ 0 1.11630- 2 6.00000+ 0 9.87920- 3 8.00000+ 0 2.68470- 3 1.00000+ 1 2.46140- 3 1.10000+ 1 2.18410- 3 1.30000+ 1 1.80230- 3 1.40000+ 1 1.74160- 3 1.60000+ 1 5.54650- 4 1.80000+ 1 4.61410- 4 1.90000+ 1 3.97360- 4 2.10000+ 1 2.42480- 4 2.20000+ 1 2.30720- 4 2.40000+ 1 3.61400- 5 2.50000+ 1 3.40400- 5 2.70000+ 1 7.88100- 5 2.90000+ 1 5.11500- 5 3.00000+ 1 4.18900- 5 3.20000+ 1 7.01000- 6 3.30000+ 1 6.30000- 6 4.10000+ 1 7.31000- 6 1 73000 0 0 1.80948+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.13100- 2 3.00000+ 0 2.13890- 2 5.00000+ 0 2.13820- 2 6.00000+ 0 1.65250- 2 8.00000+ 0 6.75260- 3 1.00000+ 1 6.65270- 3 1.10000+ 1 5.47120- 3 1.30000+ 1 5.33270- 3 1.40000+ 1 5.06910- 3 1.60000+ 1 2.15090- 3 1.80000+ 1 2.03760- 3 1.90000+ 1 1.68730- 3 2.10000+ 1 1.47900- 3 2.20000+ 1 1.40410- 3 2.40000+ 1 9.89090- 4 2.50000+ 1 9.63420- 4 2.70000+ 1 4.67580- 4 2.90000+ 1 3.81140- 4 3.00000+ 1 3.06140- 4 3.20000+ 1 1.34100- 4 3.30000+ 1 1.22400- 4 4.10000+ 1 5.23700- 5 1 73000 0 0 1.80948+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.86250-11 3.00000+ 0 4.13580-10 5.00000+ 0 3.41910-10 6.00000+ 0 3.83340-10 8.00000+ 0 1.07620- 9 1.00000+ 1 1.02220- 9 1.10000+ 1 1.09860- 9 1.30000+ 1 9.61150-10 1.40000+ 1 9.84710-10 1.60000+ 1 2.41310- 9 1.80000+ 1 2.43940- 9 1.90000+ 1 2.61200- 9 2.10000+ 1 2.70160- 9 2.20000+ 1 2.76030- 9 2.40000+ 1 3.22480- 9 2.50000+ 1 3.27420- 9 2.70000+ 1 5.73830- 9 2.90000+ 1 6.32140- 9 3.00000+ 1 6.85820- 9 3.20000+ 1 1.05850- 8 3.30000+ 1 1.10670- 8 4.10000+ 1 1.72540- 8 1 73000 0 0 1.80948+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.53250- 5 3.00000+ 0 7.51540- 7 5.00000+ 0 1.30240- 6 6.00000+ 0 1.16320- 6 8.00000+ 0 2.55440- 8 1.00000+ 1 2.69140- 8 1.10000+ 1 2.82160- 8 1.30000+ 1 3.23760- 8 1.40000+ 1 3.04210- 8 1.60000+ 1 7.33020-10 1.80000+ 1 1.32260- 9 1.90000+ 1 8.12500-10 2.10000+ 1 1.04810- 9 2.20000+ 1 9.27600-10 2.70000+ 1 3.62150-11 2.90000+ 1 1.93890-11 3.00000+ 1 1.36740-11 1 73000 0 0 1.80948+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.72740- 6 3.00000+ 0 9.47200- 6 5.00000+ 0 3.25440- 6 6.00000+ 0 3.33150- 6 8.00000+ 0 1.75030- 5 1.00000+ 1 1.12420- 5 1.10000+ 1 1.01620- 5 1.30000+ 1 2.52410- 6 1.40000+ 1 1.57580- 6 1.60000+ 1 1.43620- 5 1.80000+ 1 1.35440- 5 1.90000+ 1 1.00190- 5 2.10000+ 1 7.00400- 6 2.20000+ 1 6.67270- 6 2.70000+ 1 5.64530- 6 2.90000+ 1 1.60160- 6 3.00000+ 1 6.26810- 7 1 73000 0 0 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.05300- 4 3.00000+ 0 2.79460- 4 5.00000+ 0 2.14339- 4 6.00000+ 0 2.05635- 4 8.00000+ 0 1.92736- 4 1.00000+ 1 1.65838- 4 1.10000+ 1 1.51305- 4 1.30000+ 1 1.15587- 4 1.40000+ 1 1.09814- 4 1.60000+ 1 9.64476- 5 1.80000+ 1 9.08713- 5 1.90000+ 1 8.65890- 5 2.10000+ 1 6.56833- 5 2.20000+ 1 6.40209- 5 2.40000+ 1 3.61400- 5 2.50000+ 1 3.40400- 5 2.70000+ 1 2.47880- 5 2.90000+ 1 2.19116- 5 3.00000+ 1 1.46200- 5 3.20000+ 1 7.01000- 6 3.30000+ 1 6.30000- 6 4.10000+ 1 7.31000- 6 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.21071+ 0 3.00000+ 0 3.05463- 1 5.00000+ 0 3.46150- 1 6.00000+ 0 2.81705- 1 8.00000+ 0 2.09106- 2 1.00000+ 1 2.09668- 2 1.10000+ 1 1.98819- 2 1.30000+ 1 2.10064- 2 1.40000+ 1 1.99038- 2 1.60000+ 1 7.18920- 4 1.80000+ 1 9.10358- 4 1.90000+ 1 3.80097- 4 2.10000+ 1 1.14014- 4 2.20000+ 1 1.08215- 4 2.70000+ 1 2.35714- 6 2.90000+ 1 8.65092- 8 3.00000+ 1 1.83157- 8 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.82798- 2 3.00000+ 0 2.41341- 3 5.00000+ 0 3.04255- 3 6.00000+ 0 2.14444- 3 8.00000+ 0 3.60727- 5 1.00000+ 1 3.58993- 5 1.10000+ 1 3.36122- 5 1.30000+ 1 3.54006- 5 1.40000+ 1 3.28534- 5 1.60000+ 1 1.92063- 7 1.80000+ 1 2.21343- 7 1.90000+ 1 8.16968- 8 2.10000+ 1 2.31333- 8 2.20000+ 1 2.10820- 8 2.70000+ 1 8.35304-11 2.90000+ 1 3.65375-12 3.00000+ 1 6.46571-13 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.17202+ 0 3.00000+ 0 1.02072+ 1 5.00000+ 0 7.50007+ 0 6.00000+ 0 7.12148+ 0 8.00000+ 0 6.89454+ 0 1.00000+ 1 5.68318+ 0 1.10000+ 1 5.06411+ 0 1.30000+ 1 3.39421+ 0 1.40000+ 1 3.25421+ 0 1.60000+ 1 4.24036+ 0 1.80000+ 1 3.01521+ 0 1.90000+ 1 2.85386+ 0 2.10000+ 1 1.43530+ 0 2.20000+ 1 1.44400+ 0 2.70000+ 1 2.39097+ 0 2.90000+ 1 1.99748+ 0 3.00000+ 1 1.00000+ 0 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.07989- 3 3.00000+ 0 8.96313- 3 5.00000+ 0 7.90611- 3 6.00000+ 0 7.52913- 3 8.00000+ 0 2.45589- 3 1.00000+ 1 2.25966- 3 1.10000+ 1 1.99918- 3 1.30000+ 1 1.65131- 3 1.40000+ 1 1.59893- 3 1.60000+ 1 4.58010- 4 1.80000+ 1 3.70317- 4 1.90000+ 1 3.10689- 4 2.10000+ 1 1.76774- 4 2.20000+ 1 1.66678- 4 2.70000+ 1 5.40219- 5 2.90000+ 1 2.92384- 5 3.00000+ 1 2.72700- 5 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.76031- 1 5.64020- 2 6.00000+ 0 4.81061- 1 5.76858- 2 1.00000+ 1 5.14862- 2 6.51036- 2 1.10000+ 1 9.94843- 2 6.53809- 2 1.30000+ 1 1.07840- 3 6.57627- 2 1.40000+ 1 1.36650- 3 6.58234- 2 1.80000+ 1 1.16430- 2 6.71036- 2 1.90000+ 1 2.25561- 2 6.71676- 2 2.10000+ 1 2.57261- 4 6.73225- 2 2.20000+ 1 3.24371- 4 6.73343- 2 2.90000+ 1 2.63731- 3 6.75138- 2 3.00000+ 1 5.44342- 3 6.75231- 2 3.20000+ 1 4.93621- 6 6.75580- 2 3.30000+ 1 5.93302- 6 6.75587- 2 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.60433- 3 4.42530- 2 3.00000+ 0 5.00000+ 0 6.57680- 3 4.47460- 2 3.00000+ 0 6.00000+ 0 4.74792- 3 4.60298- 2 3.00000+ 0 8.00000+ 0 1.81079- 3 5.32243- 2 3.00000+ 0 1.00000+ 1 1.39422- 3 5.34476- 2 3.00000+ 0 1.10000+ 1 1.06354- 3 5.37249- 2 3.00000+ 0 1.30000+ 1 8.50388- 5 5.41067- 2 3.00000+ 0 1.40000+ 1 7.20374- 5 5.41674- 2 3.00000+ 0 1.60000+ 1 4.35464- 4 5.53543- 2 3.00000+ 0 1.80000+ 1 3.24791- 4 5.54476- 2 3.00000+ 0 1.90000+ 1 2.45276- 4 5.55116- 2 3.00000+ 0 2.10000+ 1 2.01208- 5 5.56665- 2 3.00000+ 0 2.20000+ 1 1.67430- 5 5.56783- 2 3.00000+ 0 2.40000+ 1 7.34355- 8 5.58729- 2 3.00000+ 0 2.50000+ 1 7.34355- 8 5.58750- 2 3.00000+ 0 2.70000+ 1 7.47554- 5 5.58302- 2 3.00000+ 0 2.90000+ 1 4.64103- 5 5.58578- 2 3.00000+ 0 3.00000+ 1 3.33400- 5 5.58671- 2 3.00000+ 0 3.20000+ 1 8.07780- 7 5.59020- 2 3.00000+ 0 4.10000+ 1 6.53570- 6 5.59017- 2 5.00000+ 0 5.00000+ 0 4.73303- 4 4.52390- 2 5.00000+ 0 6.00000+ 0 8.94892- 3 4.65228- 2 5.00000+ 0 8.00000+ 0 1.10443- 3 5.37173- 2 5.00000+ 0 1.00000+ 1 1.76405- 4 5.39406- 2 5.00000+ 0 1.10000+ 1 1.66745- 3 5.42179- 2 5.00000+ 0 1.30000+ 1 9.06273- 5 5.45997- 2 5.00000+ 0 1.40000+ 1 2.60857- 4 5.46604- 2 5.00000+ 0 1.60000+ 1 2.56387- 4 5.58473- 2 5.00000+ 0 1.80000+ 1 3.99521- 5 5.59406- 2 5.00000+ 0 1.90000+ 1 3.69491- 4 5.60046- 2 5.00000+ 0 2.10000+ 1 2.07836- 5 5.61595- 2 5.00000+ 0 2.20000+ 1 5.95587- 5 5.61713- 2 5.00000+ 0 2.40000+ 1 4.40633- 7 5.63659- 2 5.00000+ 0 2.50000+ 1 6.60998- 7 5.63680- 2 5.00000+ 0 2.70000+ 1 4.36232- 5 5.63232- 2 5.00000+ 0 2.90000+ 1 5.65466- 6 5.63508- 2 5.00000+ 0 3.00000+ 1 4.97913- 5 5.63601- 2 5.00000+ 0 3.20000+ 1 8.07851- 7 5.63950- 2 5.00000+ 0 4.10000+ 1 3.89251- 6 5.63947- 2 6.00000+ 0 6.00000+ 0 4.03959- 3 4.78066- 2 6.00000+ 0 8.00000+ 0 7.40168- 4 5.50011- 2 6.00000+ 0 1.00000+ 1 1.55926- 3 5.52244- 2 6.00000+ 0 1.10000+ 1 1.55406- 3 5.55017- 2 6.00000+ 0 1.30000+ 1 2.96841- 4 5.58835- 2 6.00000+ 0 1.40000+ 1 2.55713- 4 5.59442- 2 6.00000+ 0 1.60000+ 1 1.68825- 4 5.71311- 2 6.00000+ 0 1.80000+ 1 3.48611- 4 5.72244- 2 6.00000+ 0 1.90000+ 1 3.47201- 4 5.72884- 2 6.00000+ 0 2.10000+ 1 6.84409- 5 5.74433- 2 6.00000+ 0 2.20000+ 1 5.85994- 5 5.74551- 2 6.00000+ 0 2.40000+ 1 8.07806- 7 5.76497- 2 6.00000+ 0 2.50000+ 1 8.81233- 7 5.76518- 2 6.00000+ 0 2.70000+ 1 2.86402- 5 5.76070- 2 6.00000+ 0 2.90000+ 1 4.94256- 5 5.76346- 2 6.00000+ 0 3.00000+ 1 4.69267- 5 5.76439- 2 6.00000+ 0 3.20000+ 1 2.64373- 6 5.76788- 2 6.00000+ 0 4.10000+ 1 2.49683- 6 5.76785- 2 8.00000+ 0 8.00000+ 0 1.75226- 4 6.21956- 2 8.00000+ 0 1.00000+ 1 2.35365- 4 6.24189- 2 8.00000+ 0 1.10000+ 1 1.67436- 4 6.26962- 2 8.00000+ 0 1.30000+ 1 1.29247- 5 6.30780- 2 8.00000+ 0 1.40000+ 1 1.03547- 5 6.31387- 2 8.00000+ 0 1.60000+ 1 8.40120- 5 6.43256- 2 8.00000+ 0 1.80000+ 1 5.49308- 5 6.44189- 2 8.00000+ 0 1.90000+ 1 3.87012- 5 6.44829- 2 8.00000+ 0 2.10000+ 1 3.08422- 6 6.46378- 2 8.00000+ 0 2.20000+ 1 2.42335- 6 6.46496- 2 8.00000+ 0 2.70000+ 1 1.43937- 5 6.48015- 2 8.00000+ 0 2.90000+ 1 7.85761- 6 6.48291- 2 8.00000+ 0 3.00000+ 1 5.28749- 6 6.48384- 2 8.00000+ 0 3.20000+ 1 1.46877- 7 6.48733- 2 8.00000+ 0 4.10000+ 1 1.24837- 6 6.48730- 2 1.00000+ 1 1.00000+ 1 1.60087- 5 6.26422- 2 1.00000+ 1 1.10000+ 1 2.97713- 4 6.29195- 2 1.00000+ 1 1.30000+ 1 1.32187- 5 6.33013- 2 1.00000+ 1 1.40000+ 1 3.46613- 5 6.33620- 2 1.00000+ 1 1.60000+ 1 5.47119- 5 6.45489- 2 1.00000+ 1 1.80000+ 1 7.19652- 6 6.46422- 2 1.00000+ 1 1.90000+ 1 6.63105- 5 6.47062- 2 1.00000+ 1 2.10000+ 1 3.01083- 6 6.48611- 2 1.00000+ 1 2.20000+ 1 8.00491- 6 6.48729- 2 1.00000+ 1 2.40000+ 1 7.34383- 8 6.50675- 2 1.00000+ 1 2.50000+ 1 7.34383- 8 6.50696- 2 1.00000+ 1 2.70000+ 1 9.32657- 6 6.50248- 2 1.00000+ 1 2.90000+ 1 1.02817- 6 6.50524- 2 1.00000+ 1 3.00000+ 1 8.95918- 6 6.50617- 2 1.00000+ 1 3.20000+ 1 1.46877- 7 6.50966- 2 1.00000+ 1 4.10000+ 1 8.07811- 7 6.50963- 2 1.10000+ 1 1.10000+ 1 1.50686- 4 6.31968- 2 1.10000+ 1 1.30000+ 1 4.54558- 5 6.35786- 2 1.10000+ 1 1.40000+ 1 3.79670- 5 6.36393- 2 1.10000+ 1 1.60000+ 1 3.82610- 5 6.48262- 2 1.10000+ 1 1.80000+ 1 6.69022- 5 6.49195- 2 1.10000+ 1 1.90000+ 1 6.74151- 5 6.49835- 2 1.10000+ 1 2.10000+ 1 1.05747- 5 6.51384- 2 1.10000+ 1 2.20000+ 1 8.73916- 6 6.51502- 2 1.10000+ 1 2.40000+ 1 7.34379- 8 6.53448- 2 1.10000+ 1 2.50000+ 1 1.46876- 7 6.53469- 2 1.10000+ 1 2.70000+ 1 6.46232- 6 6.53021- 2 1.10000+ 1 2.90000+ 1 9.47343- 6 6.53297- 2 1.10000+ 1 3.00000+ 1 9.10604- 6 6.53390- 2 1.10000+ 1 3.20000+ 1 4.40609- 7 6.53739- 2 1.10000+ 1 4.10000+ 1 5.87495- 7 6.53736- 2 1.30000+ 1 1.30000+ 1 7.49844- 8 6.39604- 2 1.30000+ 1 1.40000+ 1 5.62354- 6 6.40211- 2 1.30000+ 1 1.60000+ 1 2.99927- 6 6.52080- 2 1.30000+ 1 1.80000+ 1 2.92434- 6 6.53013- 2 1.30000+ 1 1.90000+ 1 9.82281- 6 6.53653- 2 1.30000+ 1 2.10000+ 1 7.49844- 8 6.55202- 2 1.30000+ 1 2.20000+ 1 1.27466- 6 6.55320- 2 1.30000+ 1 2.70000+ 1 5.24891- 7 6.56839- 2 1.30000+ 1 2.90000+ 1 3.74903- 7 6.57115- 2 1.30000+ 1 3.00000+ 1 1.34970- 6 6.57208- 2 1.30000+ 1 4.10000+ 1 7.49844- 8 6.57554- 2 1.40000+ 1 1.40000+ 1 1.32187- 6 6.40818- 2 1.40000+ 1 1.60000+ 1 2.34994- 6 6.52687- 2 1.40000+ 1 1.80000+ 1 7.27018- 6 6.53620- 2 1.40000+ 1 1.90000+ 1 8.00487- 6 6.54260- 2 1.40000+ 1 2.10000+ 1 1.24837- 6 6.55809- 2 1.40000+ 1 2.20000+ 1 5.87495- 7 6.55927- 2 1.40000+ 1 2.70000+ 1 3.67171- 7 6.57446- 2 1.40000+ 1 2.90000+ 1 1.02816- 6 6.57722- 2 1.40000+ 1 3.00000+ 1 1.10157- 6 6.57815- 2 1.40000+ 1 3.20000+ 1 7.34379- 8 6.58164- 2 1.60000+ 1 1.60000+ 1 1.02663- 5 6.64557- 2 1.60000+ 1 1.80000+ 1 1.30399- 5 6.65489- 2 1.60000+ 1 1.90000+ 1 9.06761- 6 6.66130- 2 1.60000+ 1 2.10000+ 1 7.49393- 7 6.67679- 2 1.60000+ 1 2.20000+ 1 5.24575- 7 6.67796- 2 1.60000+ 1 2.70000+ 1 3.52207- 6 6.69315- 2 1.60000+ 1 2.90000+ 1 1.87349- 6 6.69592- 2 1.60000+ 1 3.00000+ 1 1.19899- 6 6.69685- 2 1.60000+ 1 4.10000+ 1 2.99747- 7 6.70030- 2 1.80000+ 1 1.80000+ 1 8.07811- 7 6.66422- 2 1.80000+ 1 1.90000+ 1 1.49077- 5 6.67062- 2 1.80000+ 1 2.10000+ 1 6.60965- 7 6.68611- 2 1.80000+ 1 2.20000+ 1 1.68906- 6 6.68729- 2 1.80000+ 1 2.70000+ 1 2.20315- 6 6.70248- 2 1.80000+ 1 2.90000+ 1 2.20315- 7 6.70524- 2 1.80000+ 1 3.00000+ 1 1.98276- 6 6.70617- 2 1.80000+ 1 4.10000+ 1 2.20315- 7 6.70963- 2 1.90000+ 1 1.90000+ 1 7.43749- 6 6.67703- 2 1.90000+ 1 2.10000+ 1 2.23850- 6 6.69252- 2 1.90000+ 1 2.20000+ 1 1.80527- 6 6.69369- 2 1.90000+ 1 2.70000+ 1 1.44422- 6 6.70888- 2 1.90000+ 1 2.90000+ 1 2.09406- 6 6.71165- 2 1.90000+ 1 3.00000+ 1 2.02189- 6 6.71257- 2 1.90000+ 1 3.20000+ 1 7.22107- 8 6.71606- 2 1.90000+ 1 4.10000+ 1 1.44422- 7 6.71603- 2 2.10000+ 1 2.20000+ 1 2.93743- 7 6.70918- 2 2.10000+ 1 2.70000+ 1 1.46877- 7 6.72437- 2 2.10000+ 1 2.90000+ 1 7.34384- 8 6.72714- 2 2.10000+ 1 3.00000+ 1 2.93743- 7 6.72806- 2 2.20000+ 1 2.20000+ 1 8.59101- 8 6.71036- 2 2.20000+ 1 2.70000+ 1 8.59101- 8 6.72555- 2 2.20000+ 1 2.90000+ 1 2.57731- 7 6.72831- 2 2.20000+ 1 3.00000+ 1 2.57731- 7 6.72924- 2 2.70000+ 1 2.70000+ 1 3.40330- 7 6.74074- 2 2.70000+ 1 2.90000+ 1 3.40330- 7 6.74350- 2 2.70000+ 1 3.00000+ 1 2.55257- 7 6.74443- 2 2.70000+ 1 4.10000+ 1 8.50855- 8 6.74789- 2 2.90000+ 1 3.00000+ 1 2.93741- 7 6.74720- 2 3.00000+ 1 3.00000+ 1 1.09430- 7 6.74812- 2 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.21600- 5 4.93000- 4 6.00000+ 0 1.33620- 3 1.77680- 3 1.00000+ 1 2.34400- 2 9.19460- 3 1.10000+ 1 2.97879- 2 9.47190- 3 1.30000+ 1 6.60539- 4 9.85370- 3 1.40000+ 1 9.89598- 4 9.91440- 3 1.80000+ 1 5.72079- 3 1.11946- 2 1.90000+ 1 7.68129- 3 1.12586- 2 2.10000+ 1 9.25338- 5 1.14135- 2 2.20000+ 1 1.44250- 4 1.14253- 2 2.90000+ 1 8.52368- 4 1.16048- 2 3.00000+ 1 1.10660- 3 1.16141- 2 3.20000+ 1 1.63630- 6 1.16490- 2 3.30000+ 1 2.45210- 6 1.16497- 2 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.80000+ 1 2.00204- 2 3.15900- 5 5.00000+ 0 1.90000+ 1 2.07747- 2 9.56400- 5 5.00000+ 0 2.10000+ 1 5.67244- 3 2.50520- 4 5.00000+ 0 2.20000+ 1 8.02476- 3 2.62280- 4 5.00000+ 0 2.40000+ 1 1.58875- 2 4.56860- 4 5.00000+ 0 2.50000+ 1 2.08737- 2 4.58960- 4 5.00000+ 0 2.70000+ 1 4.19789- 3 4.14190- 4 5.00000+ 0 2.90000+ 1 2.69799- 3 4.41850- 4 5.00000+ 0 3.00000+ 1 2.71212- 3 4.51110- 4 5.00000+ 0 3.20000+ 1 2.21549- 4 4.85990- 4 5.00000+ 0 4.10000+ 1 3.66841- 4 4.85690- 4 6.00000+ 0 1.30000+ 1 8.67268- 2 0.00000+ 0 6.00000+ 0 1.40000+ 1 3.67883- 1 3.52000- 5 6.00000+ 0 1.60000+ 1 2.51085- 2 1.22215- 3 6.00000+ 0 1.80000+ 1 1.02694- 2 1.31539- 3 6.00000+ 0 1.90000+ 1 1.65941- 2 1.37944- 3 6.00000+ 0 2.10000+ 1 3.42450- 2 1.53432- 3 6.00000+ 0 2.20000+ 1 4.16776- 2 1.54608- 3 6.00000+ 0 2.40000+ 1 2.32684- 2 1.74066- 3 6.00000+ 0 2.50000+ 1 2.92044- 2 1.74276- 3 6.00000+ 0 2.70000+ 1 4.12679- 3 1.69799- 3 6.00000+ 0 2.90000+ 1 1.42902- 3 1.72565- 3 6.00000+ 0 3.00000+ 1 2.22758- 3 1.73491- 3 6.00000+ 0 3.20000+ 1 1.23709- 3 1.76979- 3 6.00000+ 0 4.10000+ 1 3.60721- 4 1.76949- 3 8.00000+ 0 8.00000+ 0 6.04670- 3 6.28660- 3 8.00000+ 0 1.00000+ 1 1.22848- 2 6.50990- 3 8.00000+ 0 1.10000+ 1 2.07009- 2 6.78720- 3 8.00000+ 0 1.30000+ 1 1.58547- 2 7.16900- 3 8.00000+ 0 1.40000+ 1 2.11297- 2 7.22970- 3 8.00000+ 0 1.60000+ 1 2.46937- 3 8.41665- 3 8.00000+ 0 1.80000+ 1 2.81295- 3 8.50989- 3 8.00000+ 0 1.90000+ 1 4.65284- 3 8.57394- 3 8.00000+ 0 2.10000+ 1 3.11936- 3 8.72882- 3 8.00000+ 0 2.20000+ 1 4.11264- 3 8.74058- 3 8.00000+ 0 2.40000+ 1 1.96492- 4 8.93516- 3 8.00000+ 0 2.50000+ 1 2.23146- 4 8.93726- 3 8.00000+ 0 2.70000+ 1 4.12978- 4 8.89249- 3 8.00000+ 0 2.90000+ 1 4.00175- 4 8.92015- 3 8.00000+ 0 3.00000+ 1 6.28921- 4 8.92941- 3 8.00000+ 0 3.20000+ 1 1.17839- 4 8.96429- 3 8.00000+ 0 4.10000+ 1 3.62592- 5 8.96399- 3 1.00000+ 1 1.00000+ 1 3.46616- 5 6.73320- 3 1.00000+ 1 1.10000+ 1 2.93293- 4 7.01050- 3 1.00000+ 1 1.30000+ 1 6.96958- 4 7.39230- 3 1.00000+ 1 1.40000+ 1 6.51529- 3 7.45300- 3 1.00000+ 1 1.60000+ 1 1.97916- 3 8.63995- 3 1.00000+ 1 1.80000+ 1 5.59898- 6 8.73319- 3 1.00000+ 1 1.90000+ 1 5.89240- 5 8.79724- 3 1.00000+ 1 2.10000+ 1 1.27193- 4 8.95212- 3 1.00000+ 1 2.20000+ 1 8.12931- 4 8.96388- 3 1.00000+ 1 2.40000+ 1 7.01216- 5 9.15846- 3 1.00000+ 1 2.50000+ 1 2.45028- 4 9.16056- 3 1.00000+ 1 2.70000+ 1 3.13558- 4 9.11579- 3 1.00000+ 1 2.90000+ 1 5.33242- 7 9.14345- 3 1.00000+ 1 3.00000+ 1 7.73212- 6 9.15271- 3 1.00000+ 1 3.20000+ 1 4.79919- 6 9.18759- 3 1.00000+ 1 4.10000+ 1 2.71956- 5 9.18729- 3 1.10000+ 1 1.10000+ 1 5.64404- 4 7.28780- 3 1.10000+ 1 1.30000+ 1 2.78421- 3 7.66960- 3 1.10000+ 1 1.40000+ 1 1.75136- 3 7.73030- 3 1.10000+ 1 1.60000+ 1 3.30920- 3 8.91725- 3 1.10000+ 1 1.80000+ 1 6.39871- 5 9.01049- 3 1.10000+ 1 1.90000+ 1 1.87958- 4 9.07454- 3 1.10000+ 1 2.10000+ 1 2.45014- 4 9.22942- 3 1.10000+ 1 2.20000+ 1 1.46377- 4 9.24118- 3 1.10000+ 1 2.40000+ 1 1.53569- 4 9.43576- 3 1.10000+ 1 2.50000+ 1 1.26374- 4 9.43786- 3 1.10000+ 1 2.70000+ 1 5.23615- 4 9.39309- 3 1.10000+ 1 2.90000+ 1 9.06462- 6 9.42075- 3 1.10000+ 1 3.00000+ 1 2.39946- 5 9.43001- 3 1.10000+ 1 3.20000+ 1 8.26487- 6 9.46489- 3 1.10000+ 1 4.10000+ 1 4.55901- 5 9.46459- 3 1.30000+ 1 1.30000+ 1 9.38174- 4 8.05140- 3 1.30000+ 1 1.40000+ 1 2.94908- 2 8.11210- 3 1.30000+ 1 1.60000+ 1 2.34566- 3 9.29905- 3 1.30000+ 1 1.80000+ 1 1.97553- 4 9.39229- 3 1.30000+ 1 1.90000+ 1 6.82792- 4 9.45634- 3 1.30000+ 1 2.10000+ 1 3.61781- 4 9.61122- 3 1.30000+ 1 2.20000+ 1 4.03722- 3 9.62298- 3 1.30000+ 1 2.40000+ 1 2.21284- 4 9.81756- 3 1.30000+ 1 2.50000+ 1 6.15609- 4 9.81966- 3 1.30000+ 1 2.70000+ 1 3.66059- 4 9.77489- 3 1.30000+ 1 2.90000+ 1 2.90601- 5 9.80255- 3 1.30000+ 1 3.00000+ 1 9.35759- 5 9.81181- 3 1.30000+ 1 3.20000+ 1 1.35969- 5 9.84669- 3 1.30000+ 1 4.10000+ 1 3.17266- 5 9.84639- 3 1.40000+ 1 1.40000+ 1 8.22982- 3 8.17280- 3 1.40000+ 1 1.60000+ 1 3.16412- 3 9.35975- 3 1.40000+ 1 1.80000+ 1 1.33173- 3 9.45299- 3 1.40000+ 1 1.90000+ 1 4.48704- 4 9.51704- 3 1.40000+ 1 2.10000+ 1 3.95244- 3 9.67192- 3 1.40000+ 1 2.20000+ 1 2.37670- 3 9.68368- 3 1.40000+ 1 2.40000+ 1 6.84380- 4 9.87826- 3 1.40000+ 1 2.50000+ 1 5.21746- 4 9.88036- 3 1.40000+ 1 2.70000+ 1 4.95883- 4 9.83559- 3 1.40000+ 1 2.90000+ 1 1.85822- 4 9.86325- 3 1.40000+ 1 3.00000+ 1 6.21193- 5 9.87251- 3 1.40000+ 1 3.20000+ 1 1.41568- 4 9.90739- 3 1.40000+ 1 4.10000+ 1 4.29231- 5 9.90709- 3 1.60000+ 1 1.60000+ 1 2.37818- 4 1.05467- 2 1.60000+ 1 1.80000+ 1 4.54321- 4 1.06399- 2 1.60000+ 1 1.90000+ 1 7.45990- 4 1.07040- 2 1.60000+ 1 2.10000+ 1 4.61513- 4 1.08589- 2 1.60000+ 1 2.20000+ 1 6.12942- 4 1.08706- 2 1.60000+ 1 2.40000+ 1 2.39952- 5 1.10652- 2 1.60000+ 1 2.50000+ 1 2.63953- 5 1.10673- 2 1.60000+ 1 2.70000+ 1 7.86521- 5 1.10225- 2 1.60000+ 1 2.90000+ 1 6.45218- 5 1.10502- 2 1.60000+ 1 3.00000+ 1 1.00783- 4 1.10595- 2 1.60000+ 1 3.20000+ 1 1.73298- 5 1.10943- 2 1.60000+ 1 4.10000+ 1 6.93200- 6 1.10940- 2 1.80000+ 1 1.80000+ 1 2.66611- 7 1.07332- 2 1.80000+ 1 1.90000+ 1 1.30631- 5 1.07972- 2 1.80000+ 1 2.10000+ 1 3.11938- 5 1.09521- 2 1.80000+ 1 2.20000+ 1 1.72492- 4 1.09639- 2 1.80000+ 1 2.40000+ 1 9.33170- 6 1.11584- 2 1.80000+ 1 2.50000+ 1 3.70588- 5 1.11605- 2 1.80000+ 1 2.70000+ 1 7.19848- 5 1.11158- 2 1.80000+ 1 3.00000+ 1 1.59961- 6 1.11527- 2 1.80000+ 1 3.20000+ 1 1.06640- 6 1.11876- 2 1.80000+ 1 4.10000+ 1 6.13208- 6 1.11873- 2 1.90000+ 1 1.90000+ 1 1.51966- 5 1.08613- 2 1.90000+ 1 2.10000+ 1 6.77181- 5 1.10162- 2 1.90000+ 1 2.20000+ 1 4.37247- 5 1.10279- 2 1.90000+ 1 2.40000+ 1 2.79941- 5 1.12225- 2 1.90000+ 1 2.50000+ 1 2.26612- 5 1.12246- 2 1.90000+ 1 2.70000+ 1 1.18109- 4 1.11798- 2 1.90000+ 1 2.90000+ 1 1.86624- 6 1.12075- 2 1.90000+ 1 3.00000+ 1 3.99904- 6 1.12167- 2 1.90000+ 1 3.20000+ 1 2.39944- 6 1.12516- 2 1.90000+ 1 4.10000+ 1 1.01311- 5 1.12513- 2 2.10000+ 1 2.10000+ 1 3.22595- 5 1.11710- 2 2.10000+ 1 2.20000+ 1 5.90006- 4 1.11828- 2 2.10000+ 1 2.40000+ 1 2.95940- 5 1.13774- 2 2.10000+ 1 2.50000+ 1 6.29193- 5 1.13795- 2 2.10000+ 1 2.70000+ 1 7.19846- 5 1.13347- 2 2.10000+ 1 2.90000+ 1 4.53236- 6 1.13624- 2 2.10000+ 1 3.00000+ 1 9.33167- 6 1.13716- 2 2.10000+ 1 3.20000+ 1 2.39946- 6 1.14065- 2 2.10000+ 1 4.10000+ 1 6.13206- 6 1.14062- 2 2.20000+ 1 2.20000+ 1 1.83691- 4 1.11946- 2 2.20000+ 1 2.40000+ 1 7.30504- 5 1.13891- 2 2.20000+ 1 2.50000+ 1 6.21199- 5 1.13912- 2 2.20000+ 1 2.70000+ 1 9.59802- 5 1.13465- 2 2.20000+ 1 2.90000+ 1 2.42610- 5 1.13741- 2 2.20000+ 1 3.00000+ 1 6.13206- 6 1.13834- 2 2.20000+ 1 3.20000+ 1 2.13301- 5 1.14183- 2 2.20000+ 1 4.10000+ 1 8.26486- 6 1.14180- 2 2.40000+ 1 2.40000+ 1 8.55279- 7 1.15837- 2 2.40000+ 1 2.50000+ 1 1.79601- 5 1.15858- 2 2.40000+ 1 2.70000+ 1 5.98717- 6 1.15410- 2 2.40000+ 1 2.90000+ 1 2.13808- 6 1.15687- 2 2.40000+ 1 3.00000+ 1 5.98717- 6 1.15780- 2 2.40000+ 1 3.20000+ 1 1.71052- 6 1.16128- 2 2.40000+ 1 4.10000+ 1 4.27647- 7 1.16125- 2 2.50000+ 1 2.50000+ 1 3.83104- 6 1.15879- 2 2.50000+ 1 2.70000+ 1 6.38501- 6 1.15431- 2 2.50000+ 1 2.90000+ 1 7.66207- 6 1.15708- 2 2.50000+ 1 3.00000+ 1 4.68253- 6 1.15801- 2 2.50000+ 1 3.20000+ 1 3.40562- 6 1.16149- 2 2.50000+ 1 4.10000+ 1 4.25678- 7 1.16146- 2 2.70000+ 1 2.70000+ 1 2.07393- 5 1.14984- 2 2.70000+ 1 2.90000+ 1 3.28368- 5 1.15260- 2 2.70000+ 1 3.00000+ 1 5.18459- 5 1.15353- 2 2.70000+ 1 3.20000+ 1 8.64130- 6 1.15702- 2 2.70000+ 1 4.10000+ 1 3.45639- 6 1.15699- 2 2.90000+ 1 3.00000+ 1 1.57850- 6 1.15630- 2 2.90000+ 1 3.20000+ 1 1.57850- 6 1.15978- 2 2.90000+ 1 4.10000+ 1 4.73549- 6 1.15975- 2 3.00000+ 1 3.00000+ 1 5.79114- 7 1.15722- 2 3.00000+ 1 3.20000+ 1 5.79114- 7 1.16071- 2 3.00000+ 1 4.10000+ 1 2.89536- 6 1.16068- 2 3.20000+ 1 4.10000+ 1 2.66610- 7 1.16417- 2 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.72138- 6 1.28380- 3 8.00000+ 0 6.56906- 3 8.47830- 3 1.10000+ 1 1.97189- 4 8.97890- 3 1.30000+ 1 2.29549- 1 9.36070- 3 1.60000+ 1 1.54129- 3 1.06083- 2 1.90000+ 1 5.06397- 5 1.07656- 2 2.10000+ 1 4.22357- 2 1.09205- 2 2.40000+ 1 1.03169- 4 1.11269- 2 2.70000+ 1 2.92588- 4 1.10842- 2 3.00000+ 1 1.06559- 5 1.11211- 2 3.20000+ 1 7.81495- 4 1.11560- 2 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 6.86258- 3 7.29150- 4 6.00000+ 0 1.80000+ 1 4.27105- 2 8.22390- 4 6.00000+ 0 1.90000+ 1 1.29757- 2 8.86440- 4 6.00000+ 0 2.10000+ 1 4.79202- 2 1.04132- 3 6.00000+ 0 2.20000+ 1 1.68143- 2 1.05308- 3 6.00000+ 0 2.40000+ 1 1.45973- 3 1.24766- 3 6.00000+ 0 2.50000+ 1 2.21489- 3 1.24976- 3 6.00000+ 0 2.70000+ 1 1.07949- 3 1.20499- 3 6.00000+ 0 2.90000+ 1 5.66761- 3 1.23265- 3 6.00000+ 0 3.00000+ 1 1.72458- 3 1.24191- 3 6.00000+ 0 3.20000+ 1 1.75587- 3 1.27679- 3 6.00000+ 0 4.10000+ 1 9.37132- 5 1.27649- 3 8.00000+ 0 8.00000+ 0 7.20236- 4 5.79360- 3 8.00000+ 0 1.00000+ 1 2.21116- 2 6.01690- 3 8.00000+ 0 1.10000+ 1 2.12646- 3 6.29420- 3 8.00000+ 0 1.30000+ 1 2.78133- 3 6.67600- 3 8.00000+ 0 1.40000+ 1 2.38066- 3 6.73670- 3 8.00000+ 0 1.60000+ 1 2.67913- 4 7.92365- 3 8.00000+ 0 1.80000+ 1 3.36508- 3 8.01689- 3 8.00000+ 0 1.90000+ 1 4.25887- 4 8.08094- 3 8.00000+ 0 2.10000+ 1 3.88645- 4 8.23582- 3 8.00000+ 0 2.20000+ 1 2.82931- 4 8.24758- 3 8.00000+ 0 2.40000+ 1 8.34963- 5 8.44216- 3 8.00000+ 0 2.50000+ 1 5.52645- 5 8.44426- 3 8.00000+ 0 2.70000+ 1 4.38520- 5 8.39949- 3 8.00000+ 0 2.90000+ 1 4.44527- 4 8.42715- 3 8.00000+ 0 3.00000+ 1 5.64666- 5 8.43641- 3 8.00000+ 0 3.20000+ 1 1.38167- 5 8.47129- 3 8.00000+ 0 4.10000+ 1 3.60410- 6 8.47099- 3 1.00000+ 1 1.00000+ 1 2.26942- 2 6.24020- 3 1.00000+ 1 1.10000+ 1 6.25703- 2 6.51750- 3 1.00000+ 1 1.30000+ 1 3.30878- 2 6.89930- 3 1.00000+ 1 1.40000+ 1 5.06627- 2 6.96000- 3 1.00000+ 1 1.60000+ 1 5.43827- 3 8.14695- 3 1.00000+ 1 1.80000+ 1 8.78227- 3 8.24019- 3 1.00000+ 1 1.90000+ 1 1.38168- 2 8.30424- 3 1.00000+ 1 2.10000+ 1 6.50982- 3 8.45912- 3 1.00000+ 1 2.20000+ 1 9.90734- 3 8.47088- 3 1.00000+ 1 2.40000+ 1 3.89273- 4 8.66546- 3 1.00000+ 1 2.50000+ 1 3.55625- 4 8.66756- 3 1.00000+ 1 2.70000+ 1 9.36493- 4 8.62279- 3 1.00000+ 1 2.90000+ 1 1.21761- 3 8.65045- 3 1.00000+ 1 3.00000+ 1 1.86221- 3 8.65971- 3 1.00000+ 1 3.20000+ 1 2.45683- 4 8.69459- 3 1.00000+ 1 4.10000+ 1 8.22980- 5 8.69429- 3 1.10000+ 1 1.10000+ 1 1.52398- 3 6.79480- 3 1.10000+ 1 1.30000+ 1 3.36655- 2 7.17660- 3 1.10000+ 1 1.40000+ 1 4.71851- 3 7.23730- 3 1.10000+ 1 1.60000+ 1 4.42117- 4 8.42425- 3 1.10000+ 1 1.80000+ 1 9.78863- 3 8.51749- 3 1.10000+ 1 1.90000+ 1 5.73662- 4 8.58154- 3 1.10000+ 1 2.10000+ 1 5.57325- 3 8.73642- 3 1.10000+ 1 2.20000+ 1 7.43073- 4 8.74818- 3 1.10000+ 1 2.40000+ 1 1.93420- 4 8.94276- 3 1.10000+ 1 2.50000+ 1 1.05120- 4 8.94486- 3 1.10000+ 1 2.70000+ 1 7.38827- 5 8.90009- 3 1.10000+ 1 2.90000+ 1 1.29936- 3 8.92775- 3 1.10000+ 1 3.00000+ 1 7.50828- 5 8.93701- 3 1.10000+ 1 3.20000+ 1 2.05441- 4 8.97189- 3 1.10000+ 1 4.10000+ 1 6.60776- 6 8.97159- 3 1.30000+ 1 1.30000+ 1 3.15576- 2 7.55840- 3 1.30000+ 1 1.40000+ 1 1.28837- 1 7.61910- 3 1.30000+ 1 1.60000+ 1 6.87192- 4 8.80605- 3 1.30000+ 1 1.80000+ 1 5.07585- 3 8.89929- 3 1.30000+ 1 1.90000+ 1 6.92464- 3 8.96334- 3 1.30000+ 1 2.10000+ 1 1.03741- 2 9.11822- 3 1.30000+ 1 2.20000+ 1 2.27447- 2 9.12998- 3 1.30000+ 1 2.40000+ 1 1.47830- 3 9.32456- 3 1.30000+ 1 2.50000+ 1 3.00820- 3 9.32666- 3 1.30000+ 1 2.70000+ 1 1.18931- 4 9.28189- 3 1.30000+ 1 2.90000+ 1 6.76369- 4 9.30955- 3 1.30000+ 1 3.00000+ 1 9.21441- 4 9.31881- 3 1.30000+ 1 3.20000+ 1 3.83848- 4 9.35369- 3 1.30000+ 1 4.10000+ 1 1.02122- 5 9.35339- 3 1.40000+ 1 1.40000+ 1 6.21647- 3 7.67980- 3 1.40000+ 1 1.60000+ 1 4.76341- 4 8.86675- 3 1.40000+ 1 1.80000+ 1 6.87194- 3 8.95999- 3 1.40000+ 1 1.90000+ 1 8.90842- 4 9.02404- 3 1.40000+ 1 2.10000+ 1 1.74838- 2 9.17892- 3 1.40000+ 1 2.20000+ 1 1.99312- 3 9.19068- 3 1.40000+ 1 2.40000+ 1 5.94076- 4 9.38526- 3 1.40000+ 1 2.50000+ 1 2.28856- 4 9.38736- 3 1.40000+ 1 2.70000+ 1 7.86880- 5 9.34259- 3 1.40000+ 1 2.90000+ 1 8.87824- 4 9.37025- 3 1.40000+ 1 3.00000+ 1 1.16537- 4 9.37951- 3 1.40000+ 1 3.20000+ 1 6.27713- 4 9.41439- 3 1.40000+ 1 4.10000+ 1 6.60768- 6 9.41409- 3 1.60000+ 1 1.60000+ 1 2.40259- 5 1.00537- 2 1.60000+ 1 1.80000+ 1 8.31910- 4 1.01469- 2 1.60000+ 1 1.90000+ 1 8.89025- 5 1.02110- 2 1.60000+ 1 2.10000+ 1 9.31052- 5 1.03659- 2 1.60000+ 1 2.20000+ 1 5.70646- 5 1.03776- 2 1.60000+ 1 2.40000+ 1 1.80206- 5 1.05722- 2 1.60000+ 1 2.50000+ 1 9.61088- 6 1.05743- 2 1.60000+ 1 2.70000+ 1 7.80912- 6 1.05295- 2 1.60000+ 1 2.90000+ 1 1.09925- 4 1.05572- 2 1.60000+ 1 3.00000+ 1 1.20135- 5 1.05665- 2 1.60000+ 1 3.20000+ 1 3.60394- 6 1.06013- 2 1.60000+ 1 4.10000+ 1 6.00684- 7 1.06010- 2 1.80000+ 1 1.80000+ 1 8.07960- 4 1.02402- 2 1.80000+ 1 1.90000+ 1 2.16440- 3 1.03042- 2 1.80000+ 1 2.10000+ 1 9.82755- 4 1.04591- 2 1.80000+ 1 2.20000+ 1 1.35582- 3 1.04709- 2 1.80000+ 1 2.40000+ 1 4.86578- 5 1.06654- 2 1.80000+ 1 2.50000+ 1 3.66438- 5 1.06675- 2 1.80000+ 1 2.70000+ 1 1.43569- 4 1.06228- 2 1.80000+ 1 2.90000+ 1 2.22264- 4 1.06504- 2 1.80000+ 1 3.00000+ 1 2.91937- 4 1.06597- 2 1.80000+ 1 3.20000+ 1 3.72442- 5 1.06946- 2 1.80000+ 1 4.10000+ 1 1.26146- 5 1.06943- 2 1.90000+ 1 1.90000+ 1 5.40621- 5 1.03683- 2 1.90000+ 1 2.10000+ 1 1.15569- 3 1.05232- 2 1.90000+ 1 2.20000+ 1 1.42958- 4 1.05349- 2 1.90000+ 1 2.40000+ 1 3.30378- 5 1.07295- 2 1.90000+ 1 2.50000+ 1 1.68196- 5 1.07316- 2 1.90000+ 1 2.70000+ 1 1.50171- 5 1.06868- 2 1.90000+ 1 2.90000+ 1 2.87135- 4 1.07145- 2 1.90000+ 1 3.00000+ 1 1.44166- 5 1.07237- 2 1.90000+ 1 3.20000+ 1 4.26493- 5 1.07586- 2 1.90000+ 1 4.10000+ 1 1.20136- 6 1.07583- 2 2.10000+ 1 2.10000+ 1 8.42796- 4 1.06780- 2 2.10000+ 1 2.20000+ 1 3.20955- 3 1.06898- 2 2.10000+ 1 2.40000+ 1 1.66995- 4 1.08844- 2 2.10000+ 1 2.50000+ 1 3.44212- 4 1.08865- 2 2.10000+ 1 2.70000+ 1 1.62186- 5 1.08417- 2 2.10000+ 1 2.90000+ 1 1.30350- 4 1.08694- 2 2.10000+ 1 3.00000+ 1 1.53778- 4 1.08786- 2 2.10000+ 1 3.20000+ 1 6.24729- 5 1.09135- 2 2.10000+ 1 4.10000+ 1 1.20140- 6 1.09132- 2 2.20000+ 1 2.20000+ 1 2.02583- 4 1.07016- 2 2.20000+ 1 2.40000+ 1 9.07121- 5 1.08961- 2 2.20000+ 1 2.50000+ 1 3.55268- 5 1.08982- 2 2.20000+ 1 2.70000+ 1 1.20944- 5 1.08535- 2 2.20000+ 1 2.90000+ 1 2.20722- 4 1.08811- 2 2.20000+ 1 3.00000+ 1 2.34330- 5 1.08904- 2 2.20000+ 1 3.20000+ 1 1.45888- 4 1.09253- 2 2.20000+ 1 4.10000+ 1 7.55906- 7 1.09250- 2 2.40000+ 1 2.40000+ 1 3.83338- 6 1.10907- 2 2.40000+ 1 2.50000+ 1 2.60672- 5 1.10928- 2 2.40000+ 1 2.70000+ 1 3.83338- 6 1.10480- 2 2.40000+ 1 2.90000+ 1 7.66702- 6 1.10757- 2 2.40000+ 1 3.00000+ 1 5.36662- 6 1.10850- 2 2.40000+ 1 3.20000+ 1 7.66702- 6 1.11198- 2 2.50000+ 1 2.50000+ 1 1.82734- 6 1.10949- 2 2.50000+ 1 2.70000+ 1 2.74107- 6 1.10501- 2 2.50000+ 1 2.90000+ 1 6.39544- 6 1.10778- 2 2.50000+ 1 3.00000+ 1 3.65451- 6 1.10871- 2 2.50000+ 1 3.20000+ 1 1.82734- 5 1.11219- 2 2.70000+ 1 2.70000+ 1 9.27380- 7 1.10054- 2 2.70000+ 1 2.90000+ 1 2.96759- 5 1.10330- 2 2.70000+ 1 3.00000+ 1 2.78216- 6 1.10423- 2 2.70000+ 1 3.20000+ 1 9.27380- 7 1.10772- 2 2.90000+ 1 2.90000+ 1 2.68119- 5 1.10607- 2 2.90000+ 1 3.00000+ 1 6.86399- 5 1.10700- 2 2.90000+ 1 3.20000+ 1 8.58004- 6 1.11048- 2 2.90000+ 1 4.10000+ 1 3.21746- 6 1.11045- 2 3.00000+ 1 3.00000+ 1 1.20141- 6 1.10792- 2 3.00000+ 1 3.20000+ 1 5.40645- 6 1.11141- 2 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.21621- 2 7.19450- 3 1.00000+ 1 1.01711- 4 7.41780- 3 1.10000+ 1 9.24925- 5 7.69510- 3 1.30000+ 1 2.04401- 2 8.07690- 3 1.40000+ 1 1.80451- 1 8.13760- 3 1.60000+ 1 2.20741- 3 9.32455- 3 1.80000+ 1 2.10321- 5 9.41779- 3 1.90000+ 1 2.06501- 5 9.48184- 3 2.10000+ 1 3.53282- 3 9.63672- 3 2.20000+ 1 3.16682- 2 9.64848- 3 2.40000+ 1 1.51571- 5 9.84306- 3 2.50000+ 1 8.51545- 5 9.84516- 3 2.70000+ 1 4.43272- 4 9.80039- 3 2.90000+ 1 4.53212- 6 9.82805- 3 3.00000+ 1 4.21882- 6 9.83731- 3 3.20000+ 1 6.47984- 5 9.87219- 3 3.30000+ 1 5.55733- 4 9.87290- 3 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 9.50429- 4 4.50980- 3 8.00000+ 0 1.00000+ 1 5.41466- 4 4.73310- 3 8.00000+ 0 1.10000+ 1 2.38558- 2 5.01040- 3 8.00000+ 0 1.30000+ 1 2.65903- 3 5.39220- 3 8.00000+ 0 1.40000+ 1 3.82747- 3 5.45290- 3 8.00000+ 0 1.60000+ 1 3.55280- 4 6.63985- 3 8.00000+ 0 1.80000+ 1 9.58424- 5 6.73309- 3 8.00000+ 0 1.90000+ 1 3.56248- 3 6.79714- 3 8.00000+ 0 2.10000+ 1 2.52715- 4 6.95202- 3 8.00000+ 0 2.20000+ 1 3.27199- 4 6.96378- 3 8.00000+ 0 2.40000+ 1 1.50168- 4 7.15836- 3 8.00000+ 0 2.50000+ 1 2.70410- 4 7.16046- 3 8.00000+ 0 2.70000+ 1 5.79913- 5 7.11569- 3 8.00000+ 0 2.90000+ 1 1.28187- 5 7.14335- 3 8.00000+ 0 3.00000+ 1 4.48681- 4 7.15261- 3 8.00000+ 0 3.20000+ 1 8.54618- 6 7.18749- 3 8.00000+ 0 4.10000+ 1 4.88357- 6 7.18719- 3 1.00000+ 1 1.00000+ 1 1.08050- 4 4.95640- 3 1.00000+ 1 1.10000+ 1 4.00390- 2 5.23370- 3 1.00000+ 1 1.30000+ 1 2.13893- 3 5.61550- 3 1.00000+ 1 1.40000+ 1 1.89039- 2 5.67620- 3 1.00000+ 1 1.60000+ 1 1.08656- 4 6.86315- 3 1.00000+ 1 1.80000+ 1 4.27293- 5 6.95639- 3 1.00000+ 1 1.90000+ 1 6.20697- 3 7.02044- 3 1.00000+ 1 2.10000+ 1 3.79085- 4 7.17532- 3 1.00000+ 1 2.20000+ 1 2.79342- 3 7.18708- 3 1.00000+ 1 2.40000+ 1 1.58708- 4 7.38166- 3 1.00000+ 1 2.50000+ 1 4.11431- 4 7.38376- 3 1.00000+ 1 2.70000+ 1 1.83130- 5 7.33899- 3 1.00000+ 1 2.90000+ 1 6.10442- 6 7.36665- 3 1.00000+ 1 3.00000+ 1 7.86232- 4 7.37591- 3 1.00000+ 1 3.20000+ 1 1.40397- 5 7.41079- 3 1.00000+ 1 4.10000+ 1 1.83130- 6 7.41049- 3 1.10000+ 1 1.10000+ 1 5.25820- 2 5.51100- 3 1.10000+ 1 1.30000+ 1 5.48337- 2 5.89280- 3 1.10000+ 1 1.40000+ 1 7.74116- 2 5.95350- 3 1.10000+ 1 1.60000+ 1 5.78697- 3 7.14045- 3 1.10000+ 1 1.80000+ 1 8.66940- 3 7.23369- 3 1.10000+ 1 1.90000+ 1 1.96419- 2 7.29774- 3 1.10000+ 1 2.10000+ 1 1.02313- 2 7.45262- 3 1.10000+ 1 2.20000+ 1 1.41798- 2 7.46438- 3 1.10000+ 1 2.40000+ 1 6.61700- 4 7.65896- 3 1.10000+ 1 2.50000+ 1 8.34432- 4 7.66106- 3 1.10000+ 1 2.70000+ 1 9.93765- 4 7.61629- 3 1.10000+ 1 2.90000+ 1 1.22206- 3 7.64395- 3 1.10000+ 1 3.00000+ 1 2.58096- 3 7.65321- 3 1.10000+ 1 3.20000+ 1 3.84578- 4 7.68809- 3 1.10000+ 1 4.10000+ 1 8.72920- 5 7.68779- 3 1.30000+ 1 1.30000+ 1 7.81616- 3 6.27460- 3 1.30000+ 1 1.40000+ 1 1.47238- 1 6.33530- 3 1.30000+ 1 1.60000+ 1 6.17175- 4 7.52225- 3 1.30000+ 1 1.80000+ 1 4.73093- 4 7.61549- 3 1.30000+ 1 1.90000+ 1 7.80869- 3 7.67954- 3 1.30000+ 1 2.10000+ 1 2.51379- 3 7.83442- 3 1.30000+ 1 2.20000+ 1 1.98472- 2 7.84618- 3 1.30000+ 1 2.40000+ 1 3.71755- 4 8.04076- 3 1.30000+ 1 2.50000+ 1 1.26728- 3 8.04286- 3 1.30000+ 1 2.70000+ 1 1.04999- 4 7.99809- 3 1.30000+ 1 2.90000+ 1 6.65404- 5 8.02575- 3 1.30000+ 1 3.00000+ 1 9.74894- 4 8.03501- 3 1.30000+ 1 3.20000+ 1 9.27885- 5 8.06989- 3 1.30000+ 1 4.10000+ 1 9.15695- 6 8.06959- 3 1.40000+ 1 1.40000+ 1 9.87153- 2 6.39600- 3 1.40000+ 1 1.60000+ 1 9.20487- 4 7.58295- 3 1.40000+ 1 1.80000+ 1 3.74672- 3 7.67619- 3 1.40000+ 1 1.90000+ 1 1.24410- 2 7.74024- 3 1.40000+ 1 2.10000+ 1 2.39554- 2 7.89512- 3 1.40000+ 1 2.20000+ 1 3.02592- 2 7.90688- 3 1.40000+ 1 2.40000+ 1 3.95310- 3 8.10146- 3 1.40000+ 1 2.50000+ 1 3.60808- 3 8.10356- 3 1.40000+ 1 2.70000+ 1 1.58700- 4 8.05879- 3 1.40000+ 1 2.90000+ 1 5.20073- 4 8.08645- 3 1.40000+ 1 3.00000+ 1 1.59508- 3 8.09571- 3 1.40000+ 1 3.20000+ 1 8.83865- 4 8.13059- 3 1.40000+ 1 4.10000+ 1 1.40391- 5 8.13029- 3 1.60000+ 1 1.60000+ 1 3.35731- 5 8.76990- 3 1.60000+ 1 1.80000+ 1 2.01437- 5 8.86314- 3 1.60000+ 1 1.90000+ 1 8.64984- 4 8.92719- 3 1.60000+ 1 2.10000+ 1 6.40942- 5 9.08207- 3 1.60000+ 1 2.20000+ 1 8.60730- 5 9.09383- 3 1.60000+ 1 2.40000+ 1 2.13648- 5 9.28841- 3 1.60000+ 1 2.50000+ 1 4.27285- 5 9.29051- 3 1.60000+ 1 2.70000+ 1 1.09874- 5 9.24574- 3 1.60000+ 1 2.90000+ 1 2.44159- 6 9.27340- 3 1.60000+ 1 3.00000+ 1 1.08654- 4 9.28266- 3 1.60000+ 1 3.20000+ 1 2.44159- 6 9.31754- 3 1.60000+ 1 4.10000+ 1 1.22084- 6 9.31724- 3 1.80000+ 1 1.80000+ 1 3.05215- 6 8.95638- 3 1.80000+ 1 1.90000+ 1 1.33817- 3 9.02043- 3 1.80000+ 1 2.10000+ 1 7.99704- 5 9.17531- 3 1.80000+ 1 2.20000+ 1 5.81761- 4 9.18707- 3 1.80000+ 1 2.40000+ 1 2.25868- 5 9.38165- 3 1.80000+ 1 2.50000+ 1 5.61614- 5 9.38375- 3 1.80000+ 1 2.70000+ 1 3.05215- 6 9.33898- 3 1.80000+ 1 2.90000+ 1 6.10459- 7 9.36664- 3 1.80000+ 1 3.00000+ 1 1.69099- 4 9.37590- 3 1.80000+ 1 3.20000+ 1 3.05215- 6 9.41078- 3 1.90000+ 1 1.90000+ 1 1.76052- 3 9.08448- 3 1.90000+ 1 2.10000+ 1 1.45954- 3 9.23936- 3 1.90000+ 1 2.20000+ 1 2.24402- 3 9.25112- 3 1.90000+ 1 2.40000+ 1 7.75245- 5 9.44570- 3 1.90000+ 1 2.50000+ 1 1.03171- 4 9.44780- 3 1.90000+ 1 2.70000+ 1 1.48333- 4 9.40303- 3 1.90000+ 1 2.90000+ 1 1.88626- 4 9.43069- 3 1.90000+ 1 3.00000+ 1 4.59047- 4 9.43995- 3 1.90000+ 1 3.20000+ 1 5.49402- 5 9.47483- 3 1.90000+ 1 4.10000+ 1 1.28188- 5 9.47453- 3 2.10000+ 1 2.10000+ 1 1.94731- 4 9.39424- 3 2.10000+ 1 2.20000+ 1 3.35817- 3 9.40600- 3 2.10000+ 1 2.40000+ 1 4.02891- 5 9.60058- 3 2.10000+ 1 2.50000+ 1 1.32465- 4 9.60268- 3 2.10000+ 1 2.70000+ 1 1.09878- 5 9.55791- 3 2.10000+ 1 2.90000+ 1 1.09878- 5 9.58557- 3 2.10000+ 1 3.00000+ 1 1.82530- 4 9.59483- 3 2.10000+ 1 3.20000+ 1 1.40401- 5 9.62971- 3 2.10000+ 1 4.10000+ 1 1.22089- 6 9.62941- 3 2.20000+ 1 2.20000+ 1 2.68138- 3 9.41776- 3 2.20000+ 1 2.40000+ 1 4.84014- 4 9.61234- 3 2.20000+ 1 2.50000+ 1 4.35556- 4 9.61444- 3 2.20000+ 1 2.70000+ 1 1.75622- 5 9.56967- 3 2.20000+ 1 2.90000+ 1 9.34294- 5 9.59733- 3 2.20000+ 1 3.00000+ 1 3.30171- 4 9.60659- 3 2.20000+ 1 3.20000+ 1 1.43306- 4 9.64147- 3 2.20000+ 1 4.10000+ 1 1.40497- 6 9.64117- 3 2.40000+ 1 2.40000+ 1 2.18586- 6 9.80692- 3 2.40000+ 1 2.50000+ 1 6.22974- 5 9.80902- 3 2.40000+ 1 2.70000+ 1 5.46449- 6 9.76425- 3 2.40000+ 1 2.90000+ 1 5.46449- 6 9.79191- 3 2.40000+ 1 3.00000+ 1 1.63944- 5 9.80117- 3 2.40000+ 1 3.20000+ 1 2.18586- 6 9.83605- 3 2.50000+ 1 2.50000+ 1 1.51373- 5 9.81112- 3 2.50000+ 1 2.70000+ 1 8.32569- 6 9.76635- 3 2.50000+ 1 2.90000+ 1 9.08255- 6 9.79401- 3 2.50000+ 1 3.00000+ 1 1.58938- 5 9.80327- 3 2.50000+ 1 3.20000+ 1 6.05507- 6 9.83815- 3 2.50000+ 1 4.10000+ 1 7.56882- 7 9.83785- 3 2.70000+ 1 2.70000+ 1 1.12072- 6 9.72158- 3 2.70000+ 1 2.90000+ 1 1.12072- 6 9.74924- 3 2.70000+ 1 3.00000+ 1 3.47411- 5 9.75850- 3 2.70000+ 1 3.20000+ 1 1.12072- 6 9.79338- 3 2.90000+ 1 3.00000+ 1 6.47842- 5 9.78616- 3 2.90000+ 1 3.20000+ 1 1.66120- 6 9.82104- 3 3.00000+ 1 3.00000+ 1 1.14248- 4 9.79542- 3 3.00000+ 1 3.20000+ 1 2.56477- 5 9.83030- 3 3.00000+ 1 4.10000+ 1 6.99472- 6 9.83000- 3 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.01423- 5 2.23300- 4 1.10000+ 1 2.37332- 4 5.00600- 4 1.80000+ 1 9.07602- 4 2.22329- 3 1.90000+ 1 8.80207- 4 2.28734- 3 2.90000+ 1 2.01333- 4 2.63355- 3 3.00000+ 1 1.89198- 4 2.64281- 3 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.20000+ 1 2.56378- 2 0.00000+ 0 1.00000+ 1 2.40000+ 1 3.93619- 2 1.87160- 4 1.00000+ 1 2.50000+ 1 5.26248- 2 1.89260- 4 1.00000+ 1 2.70000+ 1 9.44111- 3 1.44490- 4 1.00000+ 1 2.90000+ 1 8.33085- 3 1.72150- 4 1.00000+ 1 3.00000+ 1 1.16976- 2 1.81410- 4 1.00000+ 1 3.20000+ 1 8.99677- 4 2.16290- 4 1.00000+ 1 3.30000+ 1 1.17636- 3 2.17000- 4 1.00000+ 1 4.10000+ 1 8.17203- 4 2.15990- 4 1.10000+ 1 1.80000+ 1 6.53705- 2 3.91900- 5 1.10000+ 1 1.90000+ 1 7.75481- 2 1.03240- 4 1.10000+ 1 2.10000+ 1 2.99648- 2 2.58120- 4 1.10000+ 1 2.20000+ 1 4.43716- 2 2.69880- 4 1.10000+ 1 2.40000+ 1 1.44605- 1 4.64460- 4 1.10000+ 1 2.50000+ 1 1.80578- 1 4.66560- 4 1.10000+ 1 2.70000+ 1 9.78480- 3 4.21790- 4 1.10000+ 1 2.90000+ 1 8.59208- 3 4.49450- 4 1.10000+ 1 3.00000+ 1 1.02278- 2 4.58710- 4 1.10000+ 1 3.20000+ 1 4.10096- 4 4.93590- 4 1.10000+ 1 3.30000+ 1 5.95296- 4 4.94300- 4 1.10000+ 1 4.10000+ 1 8.63695- 4 4.93290- 4 1.30000+ 1 1.60000+ 1 2.59788- 2 3.27750- 4 1.30000+ 1 1.80000+ 1 5.74888- 3 4.20990- 4 1.30000+ 1 1.90000+ 1 5.84217- 3 4.85040- 4 1.30000+ 1 2.10000+ 1 8.65868- 3 6.39920- 4 1.30000+ 1 2.20000+ 1 1.08009- 2 6.51680- 4 1.30000+ 1 2.40000+ 1 7.44425- 3 8.46260- 4 1.30000+ 1 2.50000+ 1 6.89729- 3 8.48360- 4 1.30000+ 1 2.70000+ 1 2.95916- 3 8.03590- 4 1.30000+ 1 2.90000+ 1 6.41469- 4 8.31250- 4 1.30000+ 1 3.00000+ 1 6.11179- 4 8.40510- 4 1.30000+ 1 3.20000+ 1 1.14219- 4 8.75390- 4 1.30000+ 1 3.30000+ 1 1.42137- 4 8.76100- 4 1.30000+ 1 4.10000+ 1 2.50422- 4 8.75090- 4 1.40000+ 1 1.60000+ 1 3.68977- 2 3.88450- 4 1.40000+ 1 1.80000+ 1 1.08841- 3 4.81690- 4 1.40000+ 1 1.90000+ 1 1.10507- 2 5.45740- 4 1.40000+ 1 2.10000+ 1 1.19271- 2 7.00620- 4 1.40000+ 1 2.20000+ 1 1.74551- 2 7.12380- 4 1.40000+ 1 2.40000+ 1 8.44372- 3 9.06960- 4 1.40000+ 1 2.50000+ 1 1.31995- 2 9.09060- 4 1.40000+ 1 2.70000+ 1 4.16699- 3 8.64290- 4 1.40000+ 1 2.90000+ 1 1.30111- 4 8.91950- 4 1.40000+ 1 3.00000+ 1 1.15041- 3 9.01210- 4 1.40000+ 1 3.20000+ 1 1.67681- 4 9.36090- 4 1.40000+ 1 3.30000+ 1 2.22045- 4 9.36800- 4 1.40000+ 1 4.10000+ 1 3.51572- 4 9.35790- 4 1.60000+ 1 1.60000+ 1 3.33074- 3 1.57540- 3 1.60000+ 1 1.80000+ 1 5.70020- 3 1.66864- 3 1.60000+ 1 1.90000+ 1 9.74881- 3 1.73269- 3 1.60000+ 1 2.10000+ 1 1.08828- 2 1.88757- 3 1.60000+ 1 2.20000+ 1 1.54700- 2 1.89933- 3 1.60000+ 1 2.40000+ 1 6.29707- 3 2.09391- 3 1.60000+ 1 2.50000+ 1 7.92936- 3 2.09601- 3 1.60000+ 1 2.70000+ 1 9.48011- 4 2.05124- 3 1.60000+ 1 2.90000+ 1 8.09867- 4 2.07890- 3 1.60000+ 1 3.00000+ 1 1.31689- 3 2.08816- 3 1.60000+ 1 3.20000+ 1 1.65871- 4 2.12304- 3 1.60000+ 1 3.30000+ 1 2.20795- 4 2.12375- 3 1.60000+ 1 4.10000+ 1 8.32119- 5 2.12274- 3 1.80000+ 1 1.80000+ 1 2.53763- 4 1.76188- 3 1.80000+ 1 1.90000+ 1 6.84394- 4 1.82593- 3 1.80000+ 1 2.10000+ 1 3.76570- 4 1.98081- 3 1.80000+ 1 2.20000+ 1 2.15171- 4 1.99257- 3 1.80000+ 1 2.40000+ 1 6.63923- 5 2.18715- 3 1.80000+ 1 2.50000+ 1 4.35615- 4 2.18925- 3 1.80000+ 1 2.70000+ 1 6.09862- 4 2.14448- 3 1.80000+ 1 2.90000+ 1 5.61584- 5 2.17214- 3 1.80000+ 1 3.00000+ 1 7.11168- 5 2.18140- 3 1.80000+ 1 3.20000+ 1 5.24836- 6 2.21628- 3 1.80000+ 1 3.30000+ 1 3.67373- 6 2.21699- 3 1.80000+ 1 4.10000+ 1 5.16958- 5 2.21598- 3 1.90000+ 1 1.90000+ 1 8.51296- 4 1.88998- 3 1.90000+ 1 2.10000+ 1 6.55009- 4 2.04486- 3 1.90000+ 1 2.20000+ 1 1.55007- 3 2.05662- 3 1.90000+ 1 2.40000+ 1 4.90196- 4 2.25120- 3 1.90000+ 1 2.50000+ 1 9.08482- 4 2.25330- 3 1.90000+ 1 2.70000+ 1 1.04762- 3 2.20853- 3 1.90000+ 1 2.90000+ 1 8.23996- 5 2.23619- 3 1.90000+ 1 3.00000+ 1 1.94446- 4 2.24545- 3 1.90000+ 1 3.20000+ 1 1.02341- 5 2.28033- 3 1.90000+ 1 3.30000+ 1 2.12567- 5 2.28104- 3 1.90000+ 1 4.10000+ 1 8.86980- 5 2.28003- 3 2.10000+ 1 2.10000+ 1 1.25248- 4 2.19974- 3 2.10000+ 1 2.20000+ 1 5.80357- 4 2.21150- 3 2.10000+ 1 2.40000+ 1 4.52620- 4 2.40608- 3 2.10000+ 1 2.50000+ 1 3.28142- 3 2.40818- 3 2.10000+ 1 2.70000+ 1 1.20776- 3 2.36341- 3 2.10000+ 1 2.90000+ 1 3.95395- 5 2.39107- 3 2.10000+ 1 3.00000+ 1 7.43770- 5 2.40033- 3 2.10000+ 1 3.20000+ 1 3.04133- 6 2.43521- 3 2.10000+ 1 3.30000+ 1 7.18871- 6 2.43592- 3 2.10000+ 1 4.10000+ 1 1.01754- 4 2.43491- 3 2.20000+ 1 2.20000+ 1 3.23543- 4 2.22326- 3 2.20000+ 1 2.40000+ 1 3.07825- 3 2.41784- 3 2.20000+ 1 2.50000+ 1 1.78173- 3 2.41994- 3 2.20000+ 1 2.70000+ 1 1.66523- 3 2.37517- 3 2.20000+ 1 2.90000+ 1 2.39175- 5 2.40283- 3 2.20000+ 1 3.00000+ 1 1.69565- 4 2.41209- 3 2.20000+ 1 3.20000+ 1 6.98671- 6 2.44697- 3 2.20000+ 1 3.30000+ 1 7.79285- 6 2.44768- 3 2.20000+ 1 4.10000+ 1 1.40274- 4 2.44667- 3 2.40000+ 1 2.40000+ 1 4.79407- 4 2.61242- 3 2.40000+ 1 2.50000+ 1 3.41583- 3 2.61452- 3 2.40000+ 1 2.70000+ 1 6.24864- 4 2.56975- 3 2.40000+ 1 2.90000+ 1 6.95189- 6 2.59741- 3 2.40000+ 1 3.00000+ 1 4.30492- 5 2.60667- 3 2.40000+ 1 3.20000+ 1 6.14995- 6 2.64155- 3 2.40000+ 1 3.30000+ 1 4.33144- 5 2.64226- 3 2.40000+ 1 4.10000+ 1 5.21400- 5 2.64125- 3 2.50000+ 1 2.50000+ 1 1.15018- 3 2.61662- 3 2.50000+ 1 2.70000+ 1 7.95772- 4 2.57185- 3 2.50000+ 1 2.90000+ 1 5.70916- 5 2.59951- 3 2.50000+ 1 3.00000+ 1 8.33366- 5 2.60877- 3 2.50000+ 1 3.20000+ 1 4.76204- 5 2.64365- 3 2.50000+ 1 3.30000+ 1 2.46225- 5 2.64436- 3 2.50000+ 1 4.10000+ 1 6.62907- 5 2.64335- 3 2.70000+ 1 2.70000+ 1 1.09382- 4 2.52708- 3 2.70000+ 1 2.90000+ 1 1.57409- 4 2.55474- 3 2.70000+ 1 3.00000+ 1 2.56335- 4 2.56400- 3 2.70000+ 1 3.20000+ 1 3.18625- 5 2.59888- 3 2.70000+ 1 3.30000+ 1 4.23271- 5 2.59959- 3 2.70000+ 1 4.10000+ 1 1.90222- 5 2.59858- 3 2.90000+ 1 2.90000+ 1 6.68833- 6 2.58240- 3 2.90000+ 1 3.00000+ 1 1.78354- 5 2.59166- 3 2.90000+ 1 3.20000+ 1 1.11471- 6 2.62654- 3 2.90000+ 1 3.30000+ 1 1.11471- 6 2.62725- 3 2.90000+ 1 4.10000+ 1 1.56062- 5 2.62624- 3 3.00000+ 1 3.00000+ 1 2.97909- 5 2.60092- 3 3.00000+ 1 3.20000+ 1 2.90649- 6 2.63580- 3 3.00000+ 1 3.30000+ 1 6.53993- 6 2.63651- 3 3.00000+ 1 4.10000+ 1 3.34255- 5 2.63550- 3 3.20000+ 1 4.10000+ 1 1.57447- 6 2.67038- 3 3.30000+ 1 4.10000+ 1 1.83674- 6 2.67109- 3 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 7.35689- 4 6.59100- 4 1.60000+ 1 5.99220- 4 1.90675- 3 2.10000+ 1 3.13560- 3 2.21892- 3 2.70000+ 1 1.15250- 4 2.38259- 3 3.20000+ 1 6.61369- 5 2.45439- 3 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 7.39172- 3 3.48200- 5 1.10000+ 1 2.20000+ 1 1.82849- 2 4.65800- 5 1.10000+ 1 2.40000+ 1 2.71308- 2 2.41160- 4 1.10000+ 1 2.50000+ 1 2.71452- 2 2.43260- 4 1.10000+ 1 2.70000+ 1 3.26488- 3 1.98490- 4 1.10000+ 1 2.90000+ 1 3.66811- 3 2.26150- 4 1.10000+ 1 3.00000+ 1 3.03737- 3 2.35410- 4 1.10000+ 1 3.20000+ 1 1.16033- 4 2.70290- 4 1.10000+ 1 3.30000+ 1 2.64679- 4 2.71000- 4 1.10000+ 1 4.10000+ 1 2.76316- 4 2.69990- 4 1.30000+ 1 1.60000+ 1 5.58232- 2 1.04450- 4 1.30000+ 1 1.80000+ 1 5.58840- 2 1.97690- 4 1.30000+ 1 1.90000+ 1 6.23662- 2 2.61740- 4 1.30000+ 1 2.10000+ 1 2.25098- 2 4.16620- 4 1.30000+ 1 2.20000+ 1 2.62678- 2 4.28380- 4 1.30000+ 1 2.40000+ 1 1.30802- 1 6.22960- 4 1.30000+ 1 2.50000+ 1 1.98546- 1 6.25060- 4 1.30000+ 1 2.70000+ 1 9.46423- 3 5.80290- 4 1.30000+ 1 2.90000+ 1 6.82177- 3 6.07950- 4 1.30000+ 1 3.00000+ 1 8.09425- 3 6.17210- 4 1.30000+ 1 3.20000+ 1 3.43403- 4 6.52090- 4 1.30000+ 1 3.30000+ 1 3.99273- 4 6.52800- 4 1.30000+ 1 4.10000+ 1 8.36854- 4 6.51790- 4 1.40000+ 1 1.60000+ 1 9.22179- 3 1.65150- 4 1.40000+ 1 1.80000+ 1 6.36689- 2 2.58390- 4 1.40000+ 1 1.90000+ 1 5.75001- 3 3.22440- 4 1.40000+ 1 2.10000+ 1 1.00502- 3 4.77320- 4 1.40000+ 1 2.20000+ 1 3.09435- 3 4.89080- 4 1.40000+ 1 2.40000+ 1 4.54484- 3 6.83660- 4 1.40000+ 1 2.50000+ 1 3.40926- 3 6.85760- 4 1.40000+ 1 2.70000+ 1 1.04648- 3 6.40990- 4 1.40000+ 1 2.90000+ 1 6.24267- 3 6.68650- 4 1.40000+ 1 3.00000+ 1 6.80669- 4 6.77910- 4 1.40000+ 1 3.20000+ 1 9.78757- 6 7.12790- 4 1.40000+ 1 3.30000+ 1 4.11912- 5 7.13500- 4 1.40000+ 1 4.10000+ 1 8.89078- 5 7.12490- 4 1.60000+ 1 1.60000+ 1 8.70790- 4 1.35210- 3 1.60000+ 1 1.80000+ 1 1.22376- 2 1.44534- 3 1.60000+ 1 1.90000+ 1 1.82194- 3 1.50939- 3 1.60000+ 1 2.10000+ 1 3.94290- 4 1.66427- 3 1.60000+ 1 2.20000+ 1 1.41962- 3 1.67603- 3 1.60000+ 1 2.40000+ 1 4.88221- 5 1.87061- 3 1.60000+ 1 2.50000+ 1 8.60295- 4 1.87271- 3 1.60000+ 1 2.70000+ 1 2.34239- 4 1.82794- 3 1.60000+ 1 2.90000+ 1 1.16377- 3 1.85560- 3 1.60000+ 1 3.00000+ 1 2.23110- 4 1.86486- 3 1.60000+ 1 3.20000+ 1 4.94440- 6 1.89974- 3 1.60000+ 1 3.30000+ 1 1.91590- 5 1.90045- 3 1.60000+ 1 4.10000+ 1 2.03950- 5 1.89944- 3 1.80000+ 1 1.80000+ 1 9.25140- 3 1.53858- 3 1.80000+ 1 1.90000+ 1 2.68278- 2 1.60263- 3 1.80000+ 1 2.10000+ 1 2.58553- 2 1.75751- 3 1.80000+ 1 2.20000+ 1 4.17737- 2 1.76927- 3 1.80000+ 1 2.40000+ 1 1.23473- 2 1.96385- 3 1.80000+ 1 2.50000+ 1 2.10276- 2 1.96595- 3 1.80000+ 1 2.70000+ 1 2.08725- 3 1.92118- 3 1.80000+ 1 2.90000+ 1 2.22260- 3 1.94884- 3 1.80000+ 1 3.00000+ 1 3.59505- 3 1.95810- 3 1.80000+ 1 3.20000+ 1 3.94318- 4 1.99298- 3 1.80000+ 1 3.30000+ 1 5.91513- 4 1.99369- 3 1.80000+ 1 4.10000+ 1 1.86041- 4 1.99268- 3 1.90000+ 1 1.90000+ 1 7.41696- 4 1.66668- 3 1.90000+ 1 2.10000+ 1 1.95927- 3 1.82156- 3 1.90000+ 1 2.20000+ 1 1.61563- 3 1.83332- 3 1.90000+ 1 2.40000+ 1 8.79941- 3 2.02790- 3 1.90000+ 1 2.50000+ 1 2.45061- 3 2.03000- 3 1.90000+ 1 2.70000+ 1 2.06435- 4 1.98523- 3 1.90000+ 1 2.90000+ 1 2.60516- 3 2.01289- 3 1.90000+ 1 3.00000+ 1 1.69346- 4 2.02215- 3 1.90000+ 1 3.20000+ 1 2.47220- 5 2.05703- 3 1.90000+ 1 3.30000+ 1 2.03959- 5 2.05774- 3 1.90000+ 1 4.10000+ 1 1.73058- 5 2.05673- 3 2.10000+ 1 2.10000+ 1 8.70222- 4 1.97644- 3 2.10000+ 1 2.20000+ 1 2.42511- 3 1.98820- 3 2.10000+ 1 2.40000+ 1 1.03710- 3 2.18278- 3 2.10000+ 1 2.50000+ 1 1.91721- 3 2.18488- 3 2.10000+ 1 2.70000+ 1 6.18053- 5 2.14011- 3 2.10000+ 1 2.90000+ 1 2.45621- 3 2.16777- 3 2.10000+ 1 3.00000+ 1 2.30541- 4 2.17703- 3 2.10000+ 1 3.20000+ 1 2.28680- 5 2.21191- 3 2.10000+ 1 3.30000+ 1 3.27573- 5 2.21262- 3 2.10000+ 1 4.10000+ 1 5.56265- 6 2.21161- 3 2.20000+ 1 2.20000+ 1 5.77258- 4 1.99996- 3 2.20000+ 1 2.40000+ 1 3.30057- 3 2.19454- 3 2.20000+ 1 2.50000+ 1 7.15706- 4 2.19664- 3 2.20000+ 1 2.70000+ 1 1.94069- 4 2.15187- 3 2.20000+ 1 2.90000+ 1 4.02465- 3 2.17953- 3 2.20000+ 1 3.00000+ 1 1.71202- 4 2.18879- 3 2.20000+ 1 3.20000+ 1 3.21405- 5 2.22367- 3 2.20000+ 1 3.30000+ 1 1.42153- 5 2.22438- 3 2.20000+ 1 4.10000+ 1 1.66877- 5 2.22337- 3 2.40000+ 1 2.40000+ 1 2.49937- 3 2.38912- 3 2.40000+ 1 2.50000+ 1 1.61646- 2 2.39122- 3 2.40000+ 1 2.70000+ 1 3.09014- 6 2.34645- 3 2.40000+ 1 2.90000+ 1 1.08343- 3 2.37411- 3 2.40000+ 1 3.00000+ 1 1.10754- 3 2.38337- 3 2.40000+ 1 3.20000+ 1 1.73054- 5 2.41825- 3 2.40000+ 1 3.30000+ 1 5.06814- 5 2.41896- 3 2.50000+ 1 2.50000+ 1 8.44280- 4 2.39332- 3 2.50000+ 1 2.70000+ 1 1.24232- 4 2.34855- 3 2.50000+ 1 2.90000+ 1 1.83195- 3 2.37621- 3 2.50000+ 1 3.00000+ 1 2.78740- 4 2.38547- 3 2.50000+ 1 3.20000+ 1 2.96657- 5 2.42035- 3 2.50000+ 1 3.30000+ 1 1.05071- 5 2.42106- 3 2.50000+ 1 4.10000+ 1 1.11250- 5 2.42005- 3 2.70000+ 1 2.70000+ 1 1.97682- 5 2.30378- 3 2.70000+ 1 2.90000+ 1 2.54616- 4 2.33144- 3 2.70000+ 1 3.00000+ 1 3.24190- 5 2.34070- 3 2.70000+ 1 3.20000+ 1 7.90736- 7 2.37558- 3 2.70000+ 1 3.30000+ 1 3.16285- 6 2.37629- 3 2.70000+ 1 4.10000+ 1 3.16285- 6 2.37528- 3 2.90000+ 1 2.90000+ 1 2.47798- 4 2.35910- 3 2.90000+ 1 3.00000+ 1 6.83273- 4 2.36836- 3 2.90000+ 1 3.20000+ 1 7.33789- 5 2.40324- 3 2.90000+ 1 3.30000+ 1 1.10666- 4 2.40395- 3 2.90000+ 1 4.10000+ 1 3.48835- 5 2.40294- 3 3.00000+ 1 3.00000+ 1 5.08462- 5 2.37762- 3 3.00000+ 1 3.20000+ 1 1.58893- 5 2.41250- 3 3.00000+ 1 3.30000+ 1 1.27116- 5 2.41321- 3 3.00000+ 1 4.10000+ 1 9.53386- 6 2.41220- 3 3.20000+ 1 3.30000+ 1 6.18049- 7 2.44809- 3 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.69538- 5 3.81800- 4 1.40000+ 1 2.48470- 4 4.42500- 4 1.60000+ 1 9.76068- 4 1.62945- 3 2.10000+ 1 4.71139- 4 1.94162- 3 2.20000+ 1 3.71493- 3 1.95338- 3 2.70000+ 1 1.79539- 4 2.10529- 3 3.20000+ 1 9.48956- 6 2.17709- 3 3.30000+ 1 7.22152- 5 2.17780- 3 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.90000+ 1 2.77071- 2 0.00000+ 0 1.30000+ 1 2.10000+ 1 1.01694- 2 1.39320- 4 1.30000+ 1 2.20000+ 1 9.94049- 3 1.51080- 4 1.30000+ 1 2.40000+ 1 1.48244- 2 3.45660- 4 1.30000+ 1 2.50000+ 1 2.15624- 2 3.47760- 4 1.30000+ 1 2.70000+ 1 2.09423- 3 3.02990- 4 1.30000+ 1 2.90000+ 1 1.57233- 3 3.30650- 4 1.30000+ 1 3.00000+ 1 5.66654- 3 3.39910- 4 1.30000+ 1 3.20000+ 1 1.32801- 4 3.74790- 4 1.30000+ 1 3.30000+ 1 1.22657- 4 3.75500- 4 1.30000+ 1 4.10000+ 1 1.81870- 4 3.74490- 4 1.40000+ 1 1.90000+ 1 1.23289- 1 4.51400- 5 1.40000+ 1 2.10000+ 1 4.57375- 2 2.00020- 4 1.40000+ 1 2.20000+ 1 6.40716- 2 2.11780- 4 1.40000+ 1 2.40000+ 1 1.49533- 1 4.06360- 4 1.40000+ 1 2.50000+ 1 1.79714- 1 4.08460- 4 1.40000+ 1 2.70000+ 1 1.23368- 2 3.63690- 4 1.40000+ 1 2.90000+ 1 1.07181- 2 3.91350- 4 1.40000+ 1 3.00000+ 1 1.45764- 2 4.00610- 4 1.40000+ 1 3.20000+ 1 5.99946- 4 4.35490- 4 1.40000+ 1 3.30000+ 1 8.25352- 4 4.36200- 4 1.40000+ 1 4.10000+ 1 1.07300- 3 4.35190- 4 1.60000+ 1 1.60000+ 1 5.67432- 4 1.07480- 3 1.60000+ 1 1.80000+ 1 9.35441- 4 1.16804- 3 1.60000+ 1 1.90000+ 1 1.50609- 2 1.23209- 3 1.60000+ 1 2.10000+ 1 8.91106- 4 1.38697- 3 1.60000+ 1 2.20000+ 1 1.00459- 3 1.39873- 3 1.60000+ 1 2.40000+ 1 1.27119- 3 1.59331- 3 1.60000+ 1 2.50000+ 1 2.05685- 3 1.59541- 3 1.60000+ 1 2.70000+ 1 1.51764- 4 1.55064- 3 1.60000+ 1 2.90000+ 1 1.04757- 4 1.57830- 3 1.60000+ 1 3.00000+ 1 1.39544- 3 1.58756- 3 1.60000+ 1 3.20000+ 1 1.27589- 5 1.62244- 3 1.60000+ 1 3.30000+ 1 1.27589- 5 1.62315- 3 1.60000+ 1 4.10000+ 1 1.27589- 5 1.62214- 3 1.80000+ 1 1.80000+ 1 8.46100- 5 1.26128- 3 1.80000+ 1 1.90000+ 1 1.81160- 2 1.32533- 3 1.80000+ 1 2.10000+ 1 4.10312- 4 1.48021- 3 1.80000+ 1 2.20000+ 1 3.53025- 3 1.49197- 3 1.80000+ 1 2.40000+ 1 1.41761- 3 1.68655- 3 1.80000+ 1 2.50000+ 1 8.08553- 3 1.68865- 3 1.80000+ 1 2.70000+ 1 1.12147- 4 1.64388- 3 1.80000+ 1 2.90000+ 1 1.74599- 5 1.67154- 3 1.80000+ 1 3.00000+ 1 1.70233- 3 1.68080- 3 1.80000+ 1 3.20000+ 1 6.04378- 6 1.71568- 3 1.80000+ 1 3.30000+ 1 4.29777- 5 1.71639- 3 1.80000+ 1 4.10000+ 1 9.40154- 6 1.71538- 3 1.90000+ 1 1.90000+ 1 2.47263- 2 1.38938- 3 1.90000+ 1 2.10000+ 1 3.48960- 2 1.54426- 3 1.90000+ 1 2.20000+ 1 4.60620- 2 1.55602- 3 1.90000+ 1 2.40000+ 1 2.39582- 2 1.75060- 3 1.90000+ 1 2.50000+ 1 2.73388- 2 1.75270- 3 1.90000+ 1 2.70000+ 1 2.51711- 3 1.70793- 3 1.90000+ 1 2.90000+ 1 2.52442- 3 1.73559- 3 1.90000+ 1 3.00000+ 1 5.61416- 3 1.74485- 3 1.90000+ 1 3.20000+ 1 5.19772- 4 1.77973- 3 1.90000+ 1 3.30000+ 1 6.47374- 4 1.78044- 3 1.90000+ 1 4.10000+ 1 2.24298- 4 1.77943- 3 2.10000+ 1 2.10000+ 1 2.26311- 4 1.69914- 3 2.10000+ 1 2.20000+ 1 4.96952- 3 1.71090- 3 2.10000+ 1 2.40000+ 1 5.96313- 4 1.90548- 3 2.10000+ 1 2.50000+ 1 7.20896- 3 1.90758- 3 2.10000+ 1 2.70000+ 1 9.53566- 5 1.86281- 3 2.10000+ 1 2.90000+ 1 3.02204- 5 1.89047- 3 2.10000+ 1 3.00000+ 1 3.24362- 3 1.89973- 3 2.10000+ 1 3.20000+ 1 5.37264- 6 1.93461- 3 2.10000+ 1 3.30000+ 1 6.31243- 5 1.93532- 3 2.10000+ 1 4.10000+ 1 8.05845- 6 1.93431- 3 2.20000+ 1 2.20000+ 1 2.28784- 3 1.72266- 3 2.20000+ 1 2.40000+ 1 5.83465- 3 1.91724- 3 2.20000+ 1 2.50000+ 1 4.97512- 3 1.91934- 3 2.20000+ 1 2.70000+ 1 1.08784- 4 1.87457- 3 2.20000+ 1 2.90000+ 1 2.94096- 4 1.90223- 3 2.20000+ 1 3.00000+ 1 4.23604- 3 1.91149- 3 2.20000+ 1 3.20000+ 1 6.71530- 5 1.94637- 3 2.20000+ 1 3.30000+ 1 5.77505- 5 1.94708- 3 2.20000+ 1 4.10000+ 1 9.40130- 6 1.94607- 3 2.40000+ 1 2.40000+ 1 7.42712- 4 2.11182- 3 2.40000+ 1 2.50000+ 1 2.00618- 2 2.11392- 3 2.40000+ 1 2.70000+ 1 1.27589- 4 2.06915- 3 2.40000+ 1 2.90000+ 1 1.66541- 4 2.09681- 3 2.40000+ 1 3.00000+ 1 2.12672- 3 2.10607- 3 2.40000+ 1 3.20000+ 1 1.00729- 5 2.14095- 3 2.40000+ 1 3.30000+ 1 7.85689- 5 2.14166- 3 2.40000+ 1 4.10000+ 1 1.07443- 5 2.14065- 3 2.50000+ 1 2.50000+ 1 7.82117- 3 2.11602- 3 2.50000+ 1 2.70000+ 1 1.69895- 4 2.07125- 3 2.50000+ 1 2.90000+ 1 9.51563- 4 2.09891- 3 2.50000+ 1 3.00000+ 1 2.50021- 3 2.10817- 3 2.50000+ 1 3.20000+ 1 1.06772- 4 2.14305- 3 2.50000+ 1 3.30000+ 1 7.11806- 5 2.14376- 3 2.50000+ 1 4.10000+ 1 1.41020- 5 2.14275- 3 2.70000+ 1 2.70000+ 1 1.65971- 5 2.02648- 3 2.70000+ 1 2.90000+ 1 1.97092- 5 2.05414- 3 2.70000+ 1 3.00000+ 1 3.60989- 4 2.06340- 3 2.70000+ 1 3.20000+ 1 2.07463- 6 2.09828- 3 2.70000+ 1 3.30000+ 1 2.07463- 6 2.09899- 3 2.70000+ 1 4.10000+ 1 3.11200- 6 2.09798- 3 2.90000+ 1 2.90000+ 1 1.17540- 6 2.08180- 3 2.90000+ 1 3.00000+ 1 4.17258- 4 2.09106- 3 2.90000+ 1 3.20000+ 1 1.17540- 6 2.12594- 3 2.90000+ 1 3.30000+ 1 5.87657- 6 2.12665- 3 2.90000+ 1 4.10000+ 1 2.35071- 6 2.12564- 3 3.00000+ 1 3.00000+ 1 1.20636- 3 2.10032- 3 3.00000+ 1 3.20000+ 1 1.89236- 4 2.13520- 3 3.00000+ 1 3.30000+ 1 2.33919- 4 2.13591- 3 3.00000+ 1 4.10000+ 1 8.14734- 5 2.13490- 3 3.20000+ 1 3.30000+ 1 6.71554- 7 2.17079- 3 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.24028- 3 1.34089- 3 1.90000+ 1 2.37508- 4 1.40494- 3 2.40000+ 1 1.52899- 2 1.76616- 3 2.90000+ 1 5.10726- 4 1.75115- 3 3.00000+ 1 5.41656- 5 1.76041- 3 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 1.03784- 1 2.45600- 5 1.40000+ 1 2.50000+ 1 1.41195- 2 2.66600- 5 1.40000+ 1 2.90000+ 1 5.45308- 4 9.55000- 6 1.40000+ 1 3.00000+ 1 1.56207- 3 1.88100- 5 1.40000+ 1 3.20000+ 1 1.79167- 3 5.36900- 5 1.40000+ 1 3.30000+ 1 2.37861- 4 5.44000- 5 1.40000+ 1 4.10000+ 1 1.28989- 4 5.33900- 5 1.60000+ 1 1.60000+ 1 3.68896- 5 6.93000- 4 1.60000+ 1 1.80000+ 1 1.70310- 3 7.86240- 4 1.60000+ 1 1.90000+ 1 1.19435- 3 8.50290- 4 1.60000+ 1 2.10000+ 1 4.30633- 2 1.00517- 3 1.60000+ 1 2.20000+ 1 5.09700- 3 1.01693- 3 1.60000+ 1 2.40000+ 1 1.44339- 2 1.21151- 3 1.60000+ 1 2.50000+ 1 4.44685- 3 1.21361- 3 1.60000+ 1 2.70000+ 1 2.15193- 5 1.16884- 3 1.60000+ 1 2.90000+ 1 1.90600- 4 1.19650- 3 1.60000+ 1 3.00000+ 1 1.09137- 4 1.20576- 3 1.60000+ 1 3.20000+ 1 4.93410- 4 1.24064- 3 1.60000+ 1 3.30000+ 1 5.68737- 5 1.24135- 3 1.60000+ 1 4.10000+ 1 1.53702- 6 1.24034- 3 1.80000+ 1 1.80000+ 1 9.97620- 4 8.79480- 4 1.80000+ 1 1.90000+ 1 6.25448- 3 9.43530- 4 1.80000+ 1 2.10000+ 1 3.77569- 2 1.09841- 3 1.80000+ 1 2.20000+ 1 2.97126- 3 1.11017- 3 1.80000+ 1 2.40000+ 1 9.05977- 3 1.30475- 3 1.80000+ 1 2.50000+ 1 4.57461- 3 1.30685- 3 1.80000+ 1 2.70000+ 1 1.96755- 4 1.26208- 3 1.80000+ 1 2.90000+ 1 2.25958- 4 1.28974- 3 1.80000+ 1 3.00000+ 1 6.39472- 4 1.29900- 3 1.80000+ 1 3.20000+ 1 4.30396- 4 1.33388- 3 1.80000+ 1 3.30000+ 1 3.84283- 5 1.33459- 3 1.80000+ 1 4.10000+ 1 1.69085- 5 1.33358- 3 1.90000+ 1 1.90000+ 1 2.24107- 3 1.00758- 3 1.90000+ 1 2.10000+ 1 7.82715- 2 1.16246- 3 1.90000+ 1 2.20000+ 1 2.94814- 3 1.17422- 3 1.90000+ 1 2.40000+ 1 4.38540- 3 1.36880- 3 1.90000+ 1 2.50000+ 1 2.44860- 3 1.37090- 3 1.90000+ 1 2.70000+ 1 1.55248- 4 1.32613- 3 1.90000+ 1 2.90000+ 1 5.96417- 4 1.35379- 3 1.90000+ 1 3.00000+ 1 4.39609- 4 1.36305- 3 1.90000+ 1 3.20000+ 1 9.00732- 4 1.39793- 3 1.90000+ 1 3.30000+ 1 3.38184- 5 1.39864- 3 1.90000+ 1 4.10000+ 1 1.38344- 5 1.39763- 3 2.10000+ 1 2.10000+ 1 6.76820- 2 1.31734- 3 2.10000+ 1 2.20000+ 1 1.35807- 1 1.32910- 3 2.10000+ 1 2.40000+ 1 5.71799- 2 1.52368- 3 2.10000+ 1 2.50000+ 1 7.08331- 2 1.52578- 3 2.10000+ 1 2.70000+ 1 6.67606- 3 1.48101- 3 2.10000+ 1 2.90000+ 1 5.29239- 3 1.50867- 3 2.10000+ 1 3.00000+ 1 1.02236- 2 1.51793- 3 2.10000+ 1 3.20000+ 1 1.79527- 3 1.55281- 3 2.10000+ 1 3.30000+ 1 1.88755- 3 1.55352- 3 2.10000+ 1 4.10000+ 1 5.90269- 4 1.55251- 3 2.20000+ 1 2.20000+ 1 2.21189- 3 1.34086- 3 2.20000+ 1 2.40000+ 1 6.12748- 2 1.53544- 3 2.20000+ 1 2.50000+ 1 3.29705- 3 1.53754- 3 2.20000+ 1 2.70000+ 1 4.50379- 4 1.49277- 3 2.20000+ 1 2.90000+ 1 2.76674- 4 1.52043- 3 2.20000+ 1 3.00000+ 1 3.18181- 4 1.52969- 3 2.20000+ 1 3.20000+ 1 1.57241- 3 1.56457- 3 2.20000+ 1 3.30000+ 1 5.22616- 5 1.56528- 3 2.20000+ 1 4.10000+ 1 3.68900- 5 1.56427- 3 2.40000+ 1 2.40000+ 1 4.90855- 2 1.73002- 3 2.40000+ 1 2.50000+ 1 1.42605- 1 1.73212- 3 2.40000+ 1 2.70000+ 1 2.30883- 3 1.68735- 3 2.40000+ 1 2.90000+ 1 1.05452- 3 1.71501- 3 2.40000+ 1 3.00000+ 1 5.68755- 4 1.72427- 3 2.40000+ 1 3.20000+ 1 6.94776- 4 1.75915- 3 2.40000+ 1 3.30000+ 1 8.22382- 4 1.75986- 3 2.40000+ 1 4.10000+ 1 2.09049- 4 1.75885- 3 2.50000+ 1 2.50000+ 1 3.46873- 3 1.73422- 3 2.50000+ 1 2.70000+ 1 5.95216- 4 1.68945- 3 2.50000+ 1 2.90000+ 1 3.54295- 4 1.71711- 3 2.50000+ 1 3.00000+ 1 3.34805- 4 1.72637- 3 2.50000+ 1 3.20000+ 1 8.85714- 4 1.76125- 3 2.50000+ 1 3.30000+ 1 4.78294- 5 1.76196- 3 2.50000+ 1 4.10000+ 1 5.13728- 5 1.76095- 3 2.70000+ 1 2.70000+ 1 6.12800- 6 1.64468- 3 2.70000+ 1 2.90000+ 1 9.19222- 5 1.67234- 3 2.70000+ 1 3.00000+ 1 6.12800- 5 1.68160- 3 2.70000+ 1 3.20000+ 1 3.06404- 4 1.71648- 3 2.70000+ 1 3.30000+ 1 2.45125- 5 1.71719- 3 2.90000+ 1 2.90000+ 1 7.61104- 5 1.70000- 3 2.90000+ 1 3.00000+ 1 3.55158- 4 1.70926- 3 2.90000+ 1 3.20000+ 1 3.29797- 4 1.74414- 3 2.90000+ 1 3.30000+ 1 1.69129- 5 1.74485- 3 2.90000+ 1 4.10000+ 1 8.45611- 6 1.74384- 3 3.00000+ 1 3.00000+ 1 1.89628- 4 1.71852- 3 3.00000+ 1 3.20000+ 1 9.73437- 4 1.75340- 3 3.00000+ 1 3.30000+ 1 2.52842- 5 1.75411- 3 3.00000+ 1 4.10000+ 1 1.26416- 5 1.75310- 3 3.20000+ 1 3.20000+ 1 3.07417- 6 1.78828- 3 3.20000+ 1 3.30000+ 1 2.15194- 5 1.78899- 3 3.20000+ 1 4.10000+ 1 6.14823- 6 1.78798- 3 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.00729- 3 1.34424- 3 2.40000+ 1 8.35565- 4 1.70546- 3 2.50000+ 1 1.62519- 2 1.70756- 3 3.00000+ 1 5.40177- 4 1.69971- 3 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 3.37925- 6 6.32300- 4 1.60000+ 1 1.80000+ 1 3.98755- 4 7.25540- 4 1.60000+ 1 1.90000+ 1 3.01271- 3 7.89590- 4 1.60000+ 1 2.10000+ 1 4.58409- 3 9.44470- 4 1.60000+ 1 2.20000+ 1 5.07490- 2 9.56230- 4 1.60000+ 1 2.40000+ 1 4.85607- 3 1.15081- 3 1.60000+ 1 2.50000+ 1 1.68019- 2 1.15291- 3 1.60000+ 1 2.70000+ 1 1.35176- 5 1.10814- 3 1.60000+ 1 2.90000+ 1 2.19655- 5 1.13580- 3 1.60000+ 1 3.00000+ 1 2.90618- 4 1.14506- 3 1.60000+ 1 3.20000+ 1 5.23787- 5 1.17994- 3 1.60000+ 1 3.30000+ 1 5.47455- 4 1.18065- 3 1.60000+ 1 4.10000+ 1 1.68967- 6 1.17964- 3 1.80000+ 1 1.80000+ 1 5.06901- 6 8.18780- 4 1.80000+ 1 1.90000+ 1 7.64077- 3 8.82830- 4 1.80000+ 1 2.10000+ 1 4.08898- 4 1.03771- 3 1.80000+ 1 2.20000+ 1 5.16805- 2 1.04947- 3 1.80000+ 1 2.40000+ 1 2.28780- 3 1.24405- 3 1.80000+ 1 2.50000+ 1 8.47728- 3 1.24615- 3 1.80000+ 1 2.70000+ 1 4.39318- 5 1.20138- 3 1.80000+ 1 2.90000+ 1 3.37925- 6 1.22904- 3 1.80000+ 1 3.00000+ 1 7.31602- 4 1.23830- 3 1.80000+ 1 3.20000+ 1 1.68967- 6 1.27318- 3 1.80000+ 1 3.30000+ 1 5.59274- 4 1.27389- 3 1.80000+ 1 4.10000+ 1 3.37925- 6 1.27288- 3 1.90000+ 1 1.90000+ 1 5.58273- 3 9.46880- 4 1.90000+ 1 2.10000+ 1 4.84097- 3 1.10176- 3 1.90000+ 1 2.20000+ 1 8.02156- 2 1.11352- 3 1.90000+ 1 2.40000+ 1 2.94850- 3 1.30810- 3 1.90000+ 1 2.50000+ 1 6.35681- 3 1.31020- 3 1.90000+ 1 2.70000+ 1 3.97073- 4 1.26543- 3 1.90000+ 1 2.90000+ 1 7.09638- 4 1.29309- 3 1.90000+ 1 3.00000+ 1 1.10501- 3 1.30235- 3 1.90000+ 1 3.20000+ 1 6.42074- 5 1.33723- 3 1.90000+ 1 3.30000+ 1 8.65121- 4 1.33794- 3 1.90000+ 1 4.10000+ 1 3.37928- 5 1.33693- 3 2.10000+ 1 2.10000+ 1 1.04419- 3 1.25664- 3 2.10000+ 1 2.20000+ 1 1.06873- 1 1.26840- 3 2.10000+ 1 2.40000+ 1 3.05497- 3 1.46298- 3 2.10000+ 1 2.50000+ 1 4.12180- 2 1.46508- 3 2.10000+ 1 2.70000+ 1 3.90327- 4 1.42031- 3 2.10000+ 1 2.90000+ 1 6.08301- 5 1.44797- 3 2.10000+ 1 3.00000+ 1 4.74807- 4 1.45723- 3 2.10000+ 1 3.20000+ 1 2.53462- 5 1.49211- 3 2.10000+ 1 3.30000+ 1 1.16587- 3 1.49282- 3 2.10000+ 1 4.10000+ 1 3.21047- 5 1.49181- 3 2.20000+ 1 2.20000+ 1 1.20603- 1 1.28016- 3 2.20000+ 1 2.40000+ 1 6.84224- 2 1.47474- 3 2.20000+ 1 2.50000+ 1 1.05892- 1 1.47684- 3 2.20000+ 1 2.70000+ 1 7.60364- 3 1.43207- 3 2.20000+ 1 2.90000+ 1 6.96342- 3 1.45973- 3 2.20000+ 1 3.00000+ 1 1.05453- 2 1.46899- 3 2.20000+ 1 3.20000+ 1 1.57467- 3 1.50387- 3 2.20000+ 1 3.30000+ 1 2.99234- 3 1.50458- 3 2.20000+ 1 4.10000+ 1 6.70819- 4 1.50357- 3 2.40000+ 1 2.40000+ 1 4.26128- 3 1.66932- 3 2.40000+ 1 2.50000+ 1 1.36384- 1 1.67142- 3 2.40000+ 1 2.70000+ 1 5.99834- 4 1.62665- 3 2.40000+ 1 2.90000+ 1 2.85555- 4 1.65431- 3 2.40000+ 1 3.00000+ 1 3.09213- 4 1.66357- 3 2.40000+ 1 3.20000+ 1 4.39323- 5 1.69845- 3 2.40000+ 1 3.30000+ 1 7.13049- 4 1.69916- 3 2.40000+ 1 4.10000+ 1 5.23792- 5 1.69815- 3 2.50000+ 1 2.50000+ 1 9.28822- 2 1.67352- 3 2.50000+ 1 2.70000+ 1 2.60715- 3 1.62875- 3 2.50000+ 1 2.90000+ 1 1.13891- 3 1.65641- 3 2.50000+ 1 3.00000+ 1 7.73889- 4 1.66567- 3 2.50000+ 1 3.20000+ 1 5.81244- 4 1.70055- 3 2.50000+ 1 3.30000+ 1 1.23346- 3 1.70126- 3 2.50000+ 1 4.10000+ 1 2.36550- 4 1.70025- 3 2.70000+ 1 2.70000+ 1 8.60294- 6 1.58398- 3 2.70000+ 1 2.90000+ 1 8.60294- 6 1.61164- 3 2.70000+ 1 3.00000+ 1 2.06468- 4 1.62090- 3 2.70000+ 1 3.20000+ 1 2.58088- 5 1.65578- 3 2.70000+ 1 3.30000+ 1 4.21534- 4 1.65649- 3 2.90000+ 1 3.00000+ 1 3.00178- 4 1.64856- 3 2.90000+ 1 3.30000+ 1 3.14139- 4 1.68415- 3 3.00000+ 1 3.00000+ 1 3.20528- 4 1.65782- 3 3.00000+ 1 3.20000+ 1 3.88509- 5 1.69270- 3 3.00000+ 1 3.30000+ 1 6.60490- 4 1.69341- 3 3.00000+ 1 4.10000+ 1 1.94255- 5 1.69240- 3 3.20000+ 1 3.30000+ 1 1.68969- 5 1.72829- 3 3.30000+ 1 3.30000+ 1 1.01374- 5 1.72900- 3 3.30000+ 1 4.10000+ 1 6.75848- 6 1.72799- 3 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.85882- 5 9.32400- 5 1.90000+ 1 1.86137- 4 1.57290- 4 2.90000+ 1 1.01210- 4 5.03500- 4 3.00000+ 1 5.71138- 5 5.12760- 4 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 1.93846- 2 5.71000- 5 1.80000+ 1 2.50000+ 1 2.26764- 2 5.92000- 5 1.80000+ 1 2.70000+ 1 3.51996- 2 1.44300- 5 1.80000+ 1 2.90000+ 1 3.09612- 2 4.20900- 5 1.80000+ 1 3.00000+ 1 5.69657- 2 5.13500- 5 1.80000+ 1 3.20000+ 1 5.71003- 3 8.62300- 5 1.80000+ 1 3.30000+ 1 9.77611- 3 8.69400- 5 1.80000+ 1 4.10000+ 1 3.11042- 3 8.59300- 5 1.90000+ 1 2.40000+ 1 1.30630- 1 1.21150- 4 1.90000+ 1 2.50000+ 1 1.61460- 1 1.23250- 4 1.90000+ 1 2.70000+ 1 4.14303- 2 7.84800- 5 1.90000+ 1 2.90000+ 1 4.45420- 2 1.06140- 4 1.90000+ 1 3.00000+ 1 5.18570- 2 1.15400- 4 1.90000+ 1 3.20000+ 1 7.64776- 3 1.50280- 4 1.90000+ 1 3.30000+ 1 8.86178- 3 1.50990- 4 1.90000+ 1 4.10000+ 1 3.58076- 3 1.49980- 4 2.10000+ 1 2.10000+ 1 3.73797- 3 6.96900- 5 2.10000+ 1 2.20000+ 1 1.16921- 2 8.14500- 5 2.10000+ 1 2.40000+ 1 4.83355- 3 2.76030- 4 2.10000+ 1 2.50000+ 1 1.07891- 2 2.78130- 4 2.10000+ 1 2.70000+ 1 1.48289- 2 2.33360- 4 2.10000+ 1 2.90000+ 1 3.49723- 3 2.61020- 4 2.10000+ 1 3.00000+ 1 7.78082- 3 2.70280- 4 2.10000+ 1 3.20000+ 1 2.29275- 4 3.05160- 4 2.10000+ 1 3.30000+ 1 2.02388- 4 3.05870- 4 2.10000+ 1 4.10000+ 1 1.05001- 3 3.04860- 4 2.20000+ 1 2.20000+ 1 7.61645- 3 9.32100- 5 2.20000+ 1 2.40000+ 1 1.22621- 2 2.87790- 4 2.20000+ 1 2.50000+ 1 1.10392- 2 2.89890- 4 2.20000+ 1 2.70000+ 1 2.11194- 2 2.45120- 4 2.20000+ 1 2.90000+ 1 8.17254- 3 2.72780- 4 2.20000+ 1 3.00000+ 1 7.53304- 3 2.82040- 4 2.20000+ 1 3.20000+ 1 1.91368- 4 3.16920- 4 2.20000+ 1 3.30000+ 1 3.28940- 4 3.17630- 4 2.20000+ 1 4.10000+ 1 1.49154- 3 3.16620- 4 2.40000+ 1 2.40000+ 1 6.41927- 3 4.82370- 4 2.40000+ 1 2.50000+ 1 1.41992- 2 4.84470- 4 2.40000+ 1 2.70000+ 1 1.49494- 2 4.39700- 4 2.40000+ 1 2.90000+ 1 1.83906- 3 4.67360- 4 2.40000+ 1 3.00000+ 1 5.15320- 3 4.76620- 4 2.40000+ 1 3.20000+ 1 8.65373- 5 5.11500- 4 2.40000+ 1 3.30000+ 1 6.03297- 5 5.12210- 4 2.40000+ 1 4.10000+ 1 9.68921- 4 5.11200- 4 2.50000+ 1 2.50000+ 1 1.07128- 2 4.86570- 4 2.50000+ 1 2.70000+ 1 1.93840- 2 4.41800- 4 2.50000+ 1 2.90000+ 1 1.07547- 3 4.69460- 4 2.50000+ 1 3.00000+ 1 6.31061- 3 4.78720- 4 2.50000+ 1 3.20000+ 1 5.49544- 5 5.13600- 4 2.50000+ 1 3.30000+ 1 1.26877- 4 5.14310- 4 2.50000+ 1 4.10000+ 1 1.25410- 3 5.13300- 4 2.70000+ 1 2.70000+ 1 2.17117- 2 3.97030- 4 2.70000+ 1 2.90000+ 1 2.77113- 2 4.24690- 4 2.70000+ 1 3.00000+ 1 4.56069- 2 4.33950- 4 2.70000+ 1 3.20000+ 1 5.67098- 3 4.68830- 4 2.70000+ 1 3.30000+ 1 7.58546- 3 4.69540- 4 2.70000+ 1 4.10000+ 1 3.38611- 3 4.68530- 4 2.90000+ 1 2.90000+ 1 3.47481- 3 4.52350- 4 2.90000+ 1 3.00000+ 1 1.43850- 2 4.61610- 4 2.90000+ 1 3.20000+ 1 8.20835- 4 4.96490- 4 2.90000+ 1 3.30000+ 1 8.55025- 4 4.97200- 4 2.90000+ 1 4.10000+ 1 2.92077- 3 4.96190- 4 3.00000+ 1 3.00000+ 1 1.12626- 2 4.70870- 4 3.00000+ 1 3.20000+ 1 1.15404- 3 5.05750- 4 3.00000+ 1 3.30000+ 1 1.69546- 3 5.06460- 4 3.00000+ 1 4.10000+ 1 5.08628- 3 5.05450- 4 3.20000+ 1 3.20000+ 1 6.84020- 6 5.40630- 4 3.20000+ 1 3.30000+ 1 8.89233- 5 5.41340- 4 3.20000+ 1 4.10000+ 1 6.01922- 4 5.40330- 4 3.30000+ 1 3.30000+ 1 2.73596- 5 5.42050- 4 3.30000+ 1 4.10000+ 1 8.00318- 4 5.41040- 4 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 6.41862- 4 2.18930- 4 2.70000+ 1 1.41427- 4 3.82600- 4 3.20000+ 1 1.98276- 6 4.54400- 4 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 5.14507- 2 2.79100- 5 1.90000+ 1 2.50000+ 1 4.19523- 2 3.00100- 5 1.90000+ 1 2.90000+ 1 1.03565- 2 1.29000- 5 1.90000+ 1 3.00000+ 1 1.05299- 2 2.21600- 5 1.90000+ 1 3.20000+ 1 9.64622- 4 5.70400- 5 1.90000+ 1 3.30000+ 1 1.42349- 3 5.77500- 5 1.90000+ 1 4.10000+ 1 1.17100- 3 5.67400- 5 2.10000+ 1 2.40000+ 1 1.58797- 1 1.82790- 4 2.10000+ 1 2.50000+ 1 3.38280- 1 1.84890- 4 2.10000+ 1 2.70000+ 1 3.51913- 2 1.40120- 4 2.10000+ 1 2.90000+ 1 2.57054- 2 1.67780- 4 2.10000+ 1 3.00000+ 1 4.11683- 2 1.77040- 4 2.10000+ 1 3.20000+ 1 3.40436- 3 2.11920- 4 2.10000+ 1 3.30000+ 1 6.04771- 3 2.12630- 4 2.10000+ 1 4.10000+ 1 3.11837- 3 2.11620- 4 2.20000+ 1 2.20000+ 1 4.38808- 3 0.00000+ 0 2.20000+ 1 2.40000+ 1 4.15020- 2 1.94550- 4 2.20000+ 1 2.50000+ 1 1.07465- 2 1.96650- 4 2.20000+ 1 2.70000+ 1 5.53340- 3 1.51880- 4 2.20000+ 1 2.90000+ 1 2.27796- 2 1.79540- 4 2.20000+ 1 3.00000+ 1 4.69734- 3 1.88800- 4 2.20000+ 1 3.20000+ 1 5.53375- 4 2.23680- 4 2.20000+ 1 3.30000+ 1 3.31494- 4 2.24390- 4 2.20000+ 1 4.10000+ 1 4.14061- 4 2.23380- 4 2.40000+ 1 2.40000+ 1 3.07762- 3 3.89130- 4 2.40000+ 1 2.50000+ 1 2.11822- 2 3.91230- 4 2.40000+ 1 2.70000+ 1 3.72419- 3 3.46460- 4 2.40000+ 1 2.90000+ 1 1.53574- 2 3.74120- 4 2.40000+ 1 3.00000+ 1 3.84466- 3 3.83380- 4 2.40000+ 1 3.20000+ 1 6.29295- 4 4.18260- 4 2.40000+ 1 3.30000+ 1 2.26674- 4 4.18970- 4 2.40000+ 1 4.10000+ 1 3.25296- 4 4.17960- 4 2.50000+ 1 2.50000+ 1 1.18231- 3 3.93330- 4 2.50000+ 1 2.70000+ 1 2.88256- 3 3.48560- 4 2.50000+ 1 2.90000+ 1 3.45047- 2 3.76220- 4 2.50000+ 1 3.00000+ 1 2.24458- 3 3.85480- 4 2.50000+ 1 3.20000+ 1 1.72352- 3 4.20360- 4 2.50000+ 1 3.30000+ 1 1.17316- 4 4.21070- 4 2.50000+ 1 4.10000+ 1 2.10482- 4 4.20060- 4 2.70000+ 1 2.70000+ 1 5.65340- 4 3.03790- 4 2.70000+ 1 2.90000+ 1 8.33666- 3 3.31450- 4 2.70000+ 1 3.00000+ 1 1.42510- 3 3.40710- 4 2.70000+ 1 3.20000+ 1 3.32294- 4 3.75590- 4 2.70000+ 1 3.30000+ 1 2.01835- 4 3.76300- 4 2.70000+ 1 4.10000+ 1 8.36327- 5 3.75290- 4 2.90000+ 1 2.90000+ 1 1.56677- 2 3.59110- 4 2.90000+ 1 3.00000+ 1 4.26186- 2 3.68370- 4 2.90000+ 1 3.20000+ 1 4.33572- 3 4.03250- 4 2.90000+ 1 3.30000+ 1 7.08892- 3 4.03960- 4 2.90000+ 1 4.10000+ 1 2.40211- 3 4.02950- 4 3.00000+ 1 3.00000+ 1 2.01351- 3 3.77630- 4 3.00000+ 1 3.20000+ 1 1.52853- 3 4.12510- 4 3.00000+ 1 3.30000+ 1 4.72000- 4 4.13220- 4 3.00000+ 1 4.10000+ 1 3.89703- 4 4.12210- 4 3.20000+ 1 3.20000+ 1 5.30418- 7 4.47390- 4 3.20000+ 1 3.30000+ 1 6.01143- 6 4.48100- 4 3.20000+ 1 4.10000+ 1 4.59701- 6 4.47090- 4 3.30000+ 1 3.30000+ 1 3.53591- 7 4.48810- 4 3.30000+ 1 4.10000+ 1 2.29837- 6 4.47800- 4 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.51616- 5 1.54880- 4 2.20000+ 1 1.70289- 4 1.66640- 4 2.70000+ 1 9.88312- 5 3.18550- 4 3.20000+ 1 5.88093- 7 3.90350- 4 3.30000+ 1 3.21129- 6 3.91060- 4 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.69513- 2 1.18740- 4 2.10000+ 1 2.50000+ 1 4.84826- 2 1.20840- 4 2.10000+ 1 2.70000+ 1 1.23031- 2 7.60700- 5 2.10000+ 1 2.90000+ 1 9.51935- 3 1.03730- 4 2.10000+ 1 3.00000+ 1 3.35729- 2 1.12990- 4 2.10000+ 1 3.20000+ 1 1.26544- 3 1.47870- 4 2.10000+ 1 3.30000+ 1 2.54048- 3 1.48580- 4 2.10000+ 1 4.10000+ 1 1.04401- 3 1.47570- 4 2.20000+ 1 2.40000+ 1 2.28765- 1 1.30500- 4 2.20000+ 1 2.50000+ 1 2.44619- 1 1.32600- 4 2.20000+ 1 2.70000+ 1 6.30448- 2 8.78300- 5 2.20000+ 1 2.90000+ 1 6.38846- 2 1.15490- 4 2.20000+ 1 3.00000+ 1 8.71212- 2 1.24750- 4 2.20000+ 1 3.20000+ 1 1.07139- 2 1.59630- 4 2.20000+ 1 3.30000+ 1 1.16998- 2 1.60340- 4 2.20000+ 1 4.10000+ 1 5.62757- 3 1.59330- 4 2.40000+ 1 2.40000+ 1 7.97090- 4 3.25080- 4 2.40000+ 1 2.50000+ 1 2.16602- 2 3.27180- 4 2.40000+ 1 2.70000+ 1 4.95629- 3 2.82410- 4 2.40000+ 1 2.90000+ 1 2.24960- 3 3.10070- 4 2.40000+ 1 3.00000+ 1 3.16050- 2 3.19330- 4 2.40000+ 1 3.20000+ 1 1.36139- 4 3.54210- 4 2.40000+ 1 3.30000+ 1 8.12817- 4 3.54920- 4 2.40000+ 1 4.10000+ 1 3.28480- 4 3.53910- 4 2.50000+ 1 2.50000+ 1 9.03065- 3 3.29280- 4 2.50000+ 1 2.70000+ 1 1.04842- 2 2.84510- 4 2.50000+ 1 2.90000+ 1 8.59596- 3 3.12170- 4 2.50000+ 1 3.00000+ 1 3.82914- 2 3.21430- 4 2.50000+ 1 3.20000+ 1 1.57455- 4 3.56310- 4 2.50000+ 1 3.30000+ 1 9.76388- 4 3.57020- 4 2.50000+ 1 4.10000+ 1 7.78445- 4 3.56010- 4 2.70000+ 1 2.70000+ 1 7.10059- 6 2.39740- 4 2.70000+ 1 2.90000+ 1 3.06018- 4 2.67400- 4 2.70000+ 1 3.00000+ 1 6.00556- 3 2.76660- 4 2.70000+ 1 3.20000+ 1 9.23047- 5 3.11540- 4 2.70000+ 1 3.30000+ 1 1.80347- 4 3.12250- 4 2.70000+ 1 4.10000+ 1 2.13010- 6 3.11240- 4 2.90000+ 1 2.90000+ 1 2.23633- 5 2.95060- 4 2.90000+ 1 3.00000+ 1 4.44715- 3 3.04320- 4 2.90000+ 1 3.20000+ 1 3.72714- 5 3.39200- 4 2.90000+ 1 3.30000+ 1 1.34716- 4 3.39910- 4 2.90000+ 1 4.10000+ 1 1.75717- 5 3.38900- 4 3.00000+ 1 3.00000+ 1 1.15387- 2 3.13580- 4 3.00000+ 1 3.20000+ 1 1.77966- 3 3.48460- 4 3.00000+ 1 3.30000+ 1 2.28771- 3 3.49170- 4 3.00000+ 1 4.10000+ 1 8.15802- 4 3.48160- 4 3.20000+ 1 3.20000+ 1 2.66427- 7 3.83340- 4 3.20000+ 1 3.30000+ 1 9.85769- 6 3.84050- 4 3.20000+ 1 4.10000+ 1 2.39781- 6 3.83040- 4 3.30000+ 1 3.30000+ 1 4.26222- 6 3.84760- 4 3.30000+ 1 4.10000+ 1 5.86072- 6 3.83750- 4 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 8.75139- 5 2.06340- 4 2.90000+ 1 2.17630- 5 1.91330- 4 3.00000+ 1 3.17310- 6 2.00590- 4 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.20000+ 1 1.06252- 2 4.75000- 6 2.20000+ 1 3.30000+ 1 1.60650- 3 5.46000- 6 2.20000+ 1 4.10000+ 1 5.13256- 4 4.45000- 6 2.40000+ 1 2.40000+ 1 1.71824- 1 1.70200- 4 2.40000+ 1 2.50000+ 1 5.36650- 1 1.72300- 4 2.40000+ 1 2.70000+ 1 6.10593- 2 1.27530- 4 2.40000+ 1 2.90000+ 1 4.97362- 2 1.55190- 4 2.40000+ 1 3.00000+ 1 7.34702- 2 1.64450- 4 2.40000+ 1 3.20000+ 1 1.19726- 2 1.99330- 4 2.40000+ 1 3.30000+ 1 1.15502- 2 2.00040- 4 2.40000+ 1 4.10000+ 1 5.51632- 3 1.99030- 4 2.50000+ 1 2.50000+ 1 6.43579- 3 1.74400- 4 2.50000+ 1 2.70000+ 1 6.31609- 3 1.29630- 4 2.50000+ 1 2.90000+ 1 1.48644- 2 1.57290- 4 2.50000+ 1 3.00000+ 1 5.26643- 3 1.66550- 4 2.50000+ 1 3.20000+ 1 1.37670- 2 2.01430- 4 2.50000+ 1 3.30000+ 1 4.99934- 4 2.02140- 4 2.50000+ 1 4.10000+ 1 4.70311- 4 2.01130- 4 2.70000+ 1 2.70000+ 1 1.23000- 3 8.48600- 5 2.70000+ 1 2.90000+ 1 1.59855- 3 1.12520- 4 2.70000+ 1 3.00000+ 1 1.74150- 3 1.21780- 4 2.70000+ 1 3.20000+ 1 1.19383- 3 1.56660- 4 2.70000+ 1 3.30000+ 1 4.24054- 4 1.57370- 4 2.70000+ 1 4.10000+ 1 1.23350- 4 1.56360- 4 2.90000+ 1 2.90000+ 1 1.07679- 3 1.40180- 4 2.90000+ 1 3.00000+ 1 3.68833- 3 1.49440- 4 2.90000+ 1 3.20000+ 1 1.41639- 3 1.84320- 4 2.90000+ 1 3.30000+ 1 3.99162- 4 1.85030- 4 2.90000+ 1 4.10000+ 1 1.74822- 4 1.84020- 4 3.00000+ 1 3.00000+ 1 1.43317- 3 1.58700- 4 3.00000+ 1 3.20000+ 1 2.56762- 3 1.93580- 4 3.00000+ 1 3.30000+ 1 2.34746- 4 1.94290- 4 3.00000+ 1 4.10000+ 1 1.25458- 4 1.93280- 4 3.20000+ 1 3.20000+ 1 2.31732- 5 2.28460- 4 3.20000+ 1 3.30000+ 1 1.97551- 4 2.29170- 4 3.20000+ 1 4.10000+ 1 8.16757- 5 2.28160- 4 3.30000+ 1 3.30000+ 1 2.27934- 6 2.29880- 4 3.30000+ 1 4.10000+ 1 1.13966- 5 2.28870- 4 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.01191- 6 1.94580- 4 2.50000+ 1 8.35822- 5 1.96680- 4 3.00000+ 1 2.04160- 5 1.88830- 4 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 1.07753- 2 1.58440- 4 2.40000+ 1 2.50000+ 1 4.01114- 1 1.60540- 4 2.40000+ 1 2.70000+ 1 8.30668- 3 1.15770- 4 2.40000+ 1 2.90000+ 1 4.81467- 3 1.43430- 4 2.40000+ 1 3.00000+ 1 1.35695- 2 1.52690- 4 2.40000+ 1 3.20000+ 1 6.29981- 4 1.87570- 4 2.40000+ 1 3.30000+ 1 1.15094- 2 1.88280- 4 2.40000+ 1 4.10000+ 1 6.71562- 4 1.87270- 4 2.50000+ 1 2.50000+ 1 2.95150- 1 1.62640- 4 2.50000+ 1 2.70000+ 1 6.43531- 2 1.17870- 4 2.50000+ 1 2.90000+ 1 6.45152- 2 1.45530- 4 2.50000+ 1 3.00000+ 1 7.35274- 2 1.54790- 4 2.50000+ 1 3.20000+ 1 1.03333- 2 1.89670- 4 2.50000+ 1 3.30000+ 1 1.96467- 2 1.90380- 4 2.50000+ 1 4.10000+ 1 5.83500- 3 1.89370- 4 2.70000+ 1 2.70000+ 1 1.94456- 3 7.31000- 5 2.70000+ 1 2.90000+ 1 1.38104- 3 1.00760- 4 2.70000+ 1 3.00000+ 1 3.31421- 3 1.10020- 4 2.70000+ 1 3.20000+ 1 4.76655- 4 1.44900- 4 2.70000+ 1 3.30000+ 1 1.59275- 3 1.45610- 4 2.70000+ 1 4.10000+ 1 1.89196- 4 1.44600- 4 2.90000+ 1 2.90000+ 1 2.14886- 4 1.28420- 4 2.90000+ 1 3.00000+ 1 2.15696- 3 1.37680- 4 2.90000+ 1 3.20000+ 1 5.42293- 5 1.72560- 4 2.90000+ 1 3.30000+ 1 8.72572- 4 1.73270- 4 2.90000+ 1 4.10000+ 1 5.54544- 5 1.72260- 4 3.00000+ 1 3.00000+ 1 9.59825- 4 1.46940- 4 3.00000+ 1 3.20000+ 1 1.85114- 4 1.81820- 4 3.00000+ 1 3.30000+ 1 1.26892- 3 1.82530- 4 3.00000+ 1 4.10000+ 1 1.18242- 4 1.81520- 4 3.20000+ 1 3.20000+ 1 4.07745- 7 2.16700- 4 3.20000+ 1 3.30000+ 1 1.60652- 4 2.17410- 4 3.20000+ 1 4.10000+ 1 1.26402- 5 2.16400- 4 3.30000+ 1 3.30000+ 1 8.97071- 5 2.18120- 4 3.30000+ 1 4.10000+ 1 9.21533- 5 2.17110- 4 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.95370- 7 2.76600- 5 3.00000+ 1 1.91637- 6 3.69200- 5 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 3.99121- 1 2.03500- 5 3.00000+ 1 4.10000+ 1 5.93741- 1 2.96100- 5 4.10000+ 1 4.10000+ 1 7.13641- 3 6.41900- 5 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 5.72658- 8 4.41400- 5 4.10000+ 1 1.09740- 8 4.38400- 5 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 4.10000+ 1 9.97476- 1 1.95000- 6 4.10000+ 1 4.10000+ 1 2.52359- 3 3.65300- 5 1 73000 0 7 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.36570- 9 3.48800- 5 3.30000+ 1 1.26780- 8 3.55900- 5 4.10000+ 1 4.27200- 9 3.45800- 5 1 73000 0 9 1.80948+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 4.10000+ 1 4.10000+ 1 1.00000+ 0 2.72700- 5 1 74000 0 0 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 1.60000+ 0 3.30000+ 1 2.40000+ 0 4.10000+ 1 2.00000+ 0 1 74000 0 0 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.96890- 2 3.00000+ 0 1.20770- 2 5.00000+ 0 1.15730- 2 6.00000+ 0 1.02060- 2 8.00000+ 0 2.79650- 3 1.00000+ 1 2.56780- 3 1.10000+ 1 2.27120- 3 1.30000+ 1 1.88110- 3 1.40000+ 1 1.81620- 3 1.60000+ 1 5.84700- 4 1.80000+ 1 4.88610- 4 1.90000+ 1 4.19620- 4 2.10000+ 1 2.60050- 4 2.20000+ 1 2.47340- 4 2.40000+ 1 4.56100- 5 2.50000+ 1 4.32500- 5 2.70000+ 1 8.51400- 5 2.90000+ 1 5.60200- 5 3.00000+ 1 4.56500- 5 3.20000+ 1 8.27000- 6 3.30000+ 1 7.41000- 6 4.10000+ 1 7.70000- 6 1 74000 0 0 1.83850+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.45810- 2 3.00000+ 0 2.22280- 2 5.00000+ 0 2.22210- 2 6.00000+ 0 1.70310- 2 8.00000+ 0 7.03030- 3 1.00000+ 1 6.92840- 3 1.10000+ 1 5.66250- 3 1.30000+ 1 5.52300- 3 1.40000+ 1 5.24260- 3 1.60000+ 1 2.24950- 3 1.80000+ 1 2.13400- 3 1.90000+ 1 1.75780- 3 2.10000+ 1 1.54770- 3 2.20000+ 1 1.46780- 3 2.40000+ 1 1.06090- 3 2.50000+ 1 1.03380- 3 2.70000+ 1 5.02410- 4 2.90000+ 1 4.13820- 4 3.00000+ 1 3.31240- 4 3.20000+ 1 1.55290- 4 3.30000+ 1 1.42100- 4 4.10000+ 1 5.74700- 5 1 74000 0 0 1.83850+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.69650-11 3.00000+ 0 4.05850-10 5.00000+ 0 3.35490-10 6.00000+ 0 3.77550-10 8.00000+ 0 1.05650- 9 1.00000+ 1 1.00290- 9 1.10000+ 1 1.08050- 9 1.30000+ 1 9.43770-10 1.40000+ 1 9.67710-10 1.60000+ 1 2.36450- 9 1.80000+ 1 2.38720- 9 1.90000+ 1 2.56100- 9 2.10000+ 1 2.64020- 9 2.20000+ 1 2.69850- 9 2.40000+ 1 3.08000- 9 2.50000+ 1 3.12480- 9 2.70000+ 1 5.56840- 9 2.90000+ 1 6.10130- 9 3.00000+ 1 6.63040- 9 3.20000+ 1 9.84710- 9 3.30000+ 1 1.02760- 8 4.10000+ 1 1.65890- 8 1 74000 0 0 1.83850+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.73890- 5 3.00000+ 0 8.04730- 7 5.00000+ 0 1.39730- 6 6.00000+ 0 1.24310- 6 8.00000+ 0 2.77680- 8 1.00000+ 1 2.94360- 8 1.10000+ 1 3.09540- 8 1.30000+ 1 3.63540- 8 1.40000+ 1 3.41610- 8 1.60000+ 1 8.22920-10 1.80000+ 1 1.45140- 9 1.90000+ 1 8.89140-10 2.10000+ 1 1.12620- 9 2.20000+ 1 9.91020-10 2.70000+ 1 4.13160-11 2.90000+ 1 2.99510-11 3.00000+ 1 2.04230-11 1 74000 0 0 1.83850+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.76490- 6 3.00000+ 0 1.08170- 5 5.00000+ 0 3.28890- 6 6.00000+ 0 3.38270- 6 8.00000+ 0 1.73580- 5 1.00000+ 1 1.15140- 5 1.10000+ 1 1.00870- 5 1.30000+ 1 2.47040- 6 1.40000+ 1 1.66410- 6 1.60000+ 1 1.44930- 5 1.80000+ 1 1.36030- 5 1.90000+ 1 1.00100- 5 2.10000+ 1 7.25140- 6 2.20000+ 1 6.86050- 6 2.70000+ 1 5.82170- 6 2.90000+ 1 2.12140- 6 3.00000+ 1 8.33710- 7 1 74000 0 0 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.47182- 4 3.00000+ 0 3.42461- 4 5.00000+ 0 2.57503- 4 6.00000+ 0 2.47722- 4 8.00000+ 0 2.32431- 4 1.00000+ 1 2.00897- 4 1.10000+ 1 1.82959- 4 1.30000+ 1 1.40762- 4 1.40000+ 1 1.33761- 4 1.60000+ 1 1.13831- 4 1.80000+ 1 1.09646- 4 1.90000+ 1 1.04752- 4 2.10000+ 1 8.11525- 5 2.20000+ 1 7.89130- 5 2.40000+ 1 4.56100- 5 2.50000+ 1 4.32500- 5 2.70000+ 1 2.53829- 5 2.90000+ 1 2.14872- 5 3.00000+ 1 1.55285- 5 3.20000+ 1 8.27000- 6 3.30000+ 1 7.41000- 6 4.10000+ 1 7.70000- 6 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.22265+ 0 3.00000+ 0 3.20494- 1 5.00000+ 0 3.62029- 1 6.00000+ 0 2.94457- 1 8.00000+ 0 2.23019- 2 1.00000+ 1 2.23482- 2 1.10000+ 1 2.11948- 2 1.30000+ 1 2.26959- 2 1.40000+ 1 2.14920- 2 1.60000+ 1 7.68432- 4 1.80000+ 1 9.70518- 4 1.90000+ 1 4.13616- 4 2.10000+ 1 1.30953- 4 2.20000+ 1 1.23825- 4 2.70000+ 1 2.89575- 6 2.90000+ 1 1.79357- 7 3.00000+ 1 3.79800- 8 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.02154- 2 3.00000+ 0 2.59053- 3 5.00000+ 0 3.29215- 3 6.00000+ 0 2.30882- 3 8.00000+ 0 3.99801- 5 1.00000+ 1 3.98523- 5 1.10000+ 1 3.72603- 5 1.30000+ 1 3.98867- 5 1.40000+ 1 3.69344- 5 1.60000+ 1 2.15892- 7 1.80000+ 1 2.47207- 7 1.90000+ 1 9.34990- 8 2.10000+ 1 2.77615- 8 2.20000+ 1 2.51619- 8 2.70000+ 1 1.10005-10 2.90000+ 1 8.31158-12 3.00000+ 1 1.44772-12 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.88122+ 0 3.00000+ 0 9.94520+ 0 5.00000+ 0 7.18183+ 0 6.00000+ 0 6.83366+ 0 8.00000+ 0 6.62604+ 0 1.00000+ 1 5.48964+ 0 1.10000+ 1 4.86092+ 0 1.30000+ 1 3.27974+ 0 1.40000+ 1 3.14420+ 0 1.60000+ 1 4.10036+ 0 1.80000+ 1 2.91576+ 0 1.90000+ 1 2.80543+ 0 2.10000+ 1 1.40810+ 0 2.20000+ 1 1.41911+ 0 2.70000+ 1 2.24088+ 0 2.90000+ 1 1.72045+ 0 3.00000+ 1 1.00000+ 0 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.22640- 3 3.00000+ 0 9.14401- 3 5.00000+ 0 8.02335- 3 6.00000+ 0 7.64946- 3 8.00000+ 0 2.52409- 3 1.00000+ 1 2.32705- 3 1.10000+ 1 2.05098- 3 1.30000+ 1 1.70045- 3 1.40000+ 1 1.64550- 3 1.60000+ 1 4.70653- 4 1.80000+ 1 3.78717- 4 1.90000+ 1 3.14774- 4 2.10000+ 1 1.78870- 4 2.20000+ 1 1.68402- 4 2.70000+ 1 5.97570- 5 2.90000+ 1 3.45328- 5 3.00000+ 1 3.01215- 5 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.76548- 1 5.81160- 2 6.00000+ 0 4.80107- 1 5.94830- 2 1.00000+ 1 5.16247- 2 6.71212- 2 1.10000+ 1 9.97644- 2 6.74178- 2 1.30000+ 1 1.11609- 3 6.78079- 2 1.40000+ 1 1.40749- 3 6.78728- 2 1.80000+ 1 1.17459- 2 6.92004- 2 1.90000+ 1 2.27829- 2 6.92694- 2 2.10000+ 1 2.69498- 4 6.94289- 2 2.20000+ 1 3.38308- 4 6.94417- 2 2.90000+ 1 2.66968- 3 6.96330- 2 3.00000+ 1 5.46957- 3 6.96433- 2 3.20000+ 1 7.67775- 6 6.96807- 2 3.30000+ 1 9.23544- 6 6.96816- 2 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.60333- 3 4.55350- 2 3.00000+ 0 5.00000+ 0 6.65977- 3 4.60390- 2 3.00000+ 0 6.00000+ 0 4.66106- 3 4.74060- 2 3.00000+ 0 8.00000+ 0 1.81724- 3 5.48155- 2 3.00000+ 0 1.00000+ 1 1.41581- 3 5.50442- 2 3.00000+ 0 1.10000+ 1 1.05022- 3 5.53408- 2 3.00000+ 0 1.30000+ 1 8.45088- 5 5.57309- 2 3.00000+ 0 1.40000+ 1 7.05709- 5 5.57958- 2 3.00000+ 0 1.60000+ 1 4.39208- 4 5.70273- 2 3.00000+ 0 1.80000+ 1 3.31780- 4 5.71234- 2 3.00000+ 0 1.90000+ 1 2.43789- 4 5.71924- 2 3.00000+ 0 2.10000+ 1 2.02030- 5 5.73519- 2 3.00000+ 0 2.20000+ 1 1.66463- 5 5.73647- 2 3.00000+ 0 2.40000+ 1 7.11379- 8 5.75664- 2 3.00000+ 0 2.50000+ 1 7.11379- 8 5.75687- 2 3.00000+ 0 2.70000+ 1 7.75417- 5 5.75269- 2 3.00000+ 0 2.90000+ 1 4.93689- 5 5.75560- 2 3.00000+ 0 3.00000+ 1 3.45720- 5 5.75663- 2 3.00000+ 0 3.20000+ 1 1.20927- 6 5.76037- 2 3.00000+ 0 4.10000+ 1 6.90018- 6 5.76043- 2 5.00000+ 0 5.00000+ 0 4.63671- 4 4.65430- 2 5.00000+ 0 6.00000+ 0 8.71548- 3 4.79100- 2 5.00000+ 0 8.00000+ 0 1.12435- 3 5.53195- 2 5.00000+ 0 1.00000+ 1 1.73295- 4 5.55482- 2 5.00000+ 0 1.10000+ 1 1.63336- 3 5.58448- 2 5.00000+ 0 1.30000+ 1 8.97064- 5 5.62349- 2 5.00000+ 0 1.40000+ 1 2.55679- 4 5.62998- 2 5.00000+ 0 1.60000+ 1 2.62302- 4 5.75313- 2 5.00000+ 0 1.80000+ 1 3.94829- 5 5.76274- 2 5.00000+ 0 1.90000+ 1 3.64153- 4 5.76964- 2 5.00000+ 0 2.10000+ 1 2.07726- 5 5.78559- 2 5.00000+ 0 2.20000+ 1 5.91154- 5 5.78687- 2 5.00000+ 0 2.40000+ 1 4.26824- 7 5.80704- 2 5.00000+ 0 2.50000+ 1 7.11398- 7 5.80727- 2 5.00000+ 0 2.70000+ 1 4.59557- 5 5.80309- 2 5.00000+ 0 2.90000+ 1 5.83355- 6 5.80600- 2 5.00000+ 0 3.00000+ 1 5.12904- 5 5.80703- 2 5.00000+ 0 3.20000+ 1 1.20931- 6 5.81077- 2 5.00000+ 0 4.10000+ 1 4.12607- 6 5.81083- 2 6.00000+ 0 6.00000+ 0 3.91208- 3 4.92770- 2 6.00000+ 0 8.00000+ 0 7.28498- 4 5.66865- 2 6.00000+ 0 1.00000+ 1 1.52289- 3 5.69152- 2 6.00000+ 0 1.10000+ 1 1.51440- 3 5.72118- 2 6.00000+ 0 1.30000+ 1 2.90167- 4 5.76019- 2 6.00000+ 0 1.40000+ 1 2.49052- 4 5.76668- 2 6.00000+ 0 1.60000+ 1 1.66967- 4 5.88983- 2 6.00000+ 0 1.80000+ 1 3.42448- 4 5.89944- 2 6.00000+ 0 1.90000+ 1 3.40544- 4 5.90634- 2 6.00000+ 0 2.10000+ 1 6.77241- 5 5.92229- 2 6.00000+ 0 2.20000+ 1 5.77622- 5 5.92357- 2 6.00000+ 0 2.40000+ 1 8.53682- 7 5.94374- 2 6.00000+ 0 2.50000+ 1 9.24775- 7 5.94397- 2 6.00000+ 0 2.70000+ 1 2.91651- 5 5.93979- 2 6.00000+ 0 2.90000+ 1 5.05096- 5 5.94270- 2 6.00000+ 0 3.00000+ 1 4.80183- 5 5.94373- 2 6.00000+ 0 3.20000+ 1 3.98373- 6 5.94747- 2 6.00000+ 0 4.10000+ 1 2.56104- 6 5.94753- 2 8.00000+ 0 8.00000+ 0 1.76494- 4 6.40960- 2 8.00000+ 0 1.00000+ 1 2.40085- 4 6.43247- 2 8.00000+ 0 1.10000+ 1 1.65748- 4 6.46213- 2 8.00000+ 0 1.30000+ 1 1.29464- 5 6.50114- 2 8.00000+ 0 1.40000+ 1 1.01724- 5 6.50763- 2 8.00000+ 0 1.60000+ 1 8.50076- 5 6.63078- 2 8.00000+ 0 1.80000+ 1 5.63414- 5 6.64039- 2 8.00000+ 0 1.90000+ 1 3.85557- 5 6.64729- 2 8.00000+ 0 2.10000+ 1 3.05897- 6 6.66324- 2 8.00000+ 0 2.20000+ 1 2.41866- 6 6.66452- 2 8.00000+ 0 2.70000+ 1 1.50098- 5 6.68074- 2 8.00000+ 0 2.90000+ 1 8.39422- 6 6.68365- 2 8.00000+ 0 3.00000+ 1 5.47775- 6 6.68468- 2 8.00000+ 0 3.20000+ 1 2.13413- 7 6.68842- 2 8.00000+ 0 4.10000+ 1 1.35165- 6 6.68848- 2 1.00000+ 1 1.00000+ 1 1.57213- 5 6.45534- 2 1.00000+ 1 1.10000+ 1 2.92645- 4 6.48500- 2 1.00000+ 1 1.30000+ 1 1.31604- 5 6.52401- 2 1.00000+ 1 1.40000+ 1 3.40045- 5 6.53050- 2 1.00000+ 1 1.60000+ 1 5.60552- 5 6.65365- 2 1.00000+ 1 1.80000+ 1 7.11388- 6 6.66326- 2 1.00000+ 1 1.90000+ 1 6.55883- 5 6.67016- 2 1.00000+ 1 2.10000+ 1 3.05899- 6 6.68611- 2 1.00000+ 1 2.20000+ 1 7.96747- 6 6.68739- 2 1.00000+ 1 2.40000+ 1 7.11388- 8 6.70756- 2 1.00000+ 1 2.50000+ 1 7.11388- 8 6.70779- 2 1.00000+ 1 2.70000+ 1 9.81718- 6 6.70361- 2 1.00000+ 1 2.90000+ 1 1.06712- 6 6.70652- 2 1.00000+ 1 3.00000+ 1 9.24779- 6 6.70755- 2 1.00000+ 1 3.20000+ 1 2.13415- 7 6.71129- 2 1.00000+ 1 4.10000+ 1 8.53686- 7 6.71135- 2 1.10000+ 1 1.10000+ 1 1.47827- 4 6.51466- 2 1.10000+ 1 1.30000+ 1 4.47471- 5 6.55367- 2 1.10000+ 1 1.40000+ 1 3.72048- 5 6.56016- 2 1.10000+ 1 1.60000+ 1 3.80594- 5 6.68331- 2 1.10000+ 1 1.80000+ 1 6.61601- 5 6.69292- 2 1.10000+ 1 1.90000+ 1 6.65849- 5 6.69982- 2 1.10000+ 1 2.10000+ 1 1.05289- 5 6.71577- 2 1.10000+ 1 2.20000+ 1 8.67888- 6 6.71705- 2 1.10000+ 1 2.40000+ 1 1.42279- 7 6.73722- 2 1.10000+ 1 2.50000+ 1 1.42279- 7 6.73745- 2 1.10000+ 1 2.70000+ 1 6.61601- 6 6.73327- 2 1.10000+ 1 2.90000+ 1 9.74611- 6 6.73618- 2 1.10000+ 1 3.00000+ 1 9.39034- 6 6.73721- 2 1.10000+ 1 3.20000+ 1 6.40241- 7 6.74095- 2 1.10000+ 1 4.10000+ 1 5.69137- 7 6.74101- 2 1.30000+ 1 1.30000+ 1 7.11371- 8 6.59268- 2 1.30000+ 1 1.40000+ 1 5.40652- 6 6.59917- 2 1.30000+ 1 1.60000+ 1 2.98758- 6 6.72232- 2 1.30000+ 1 1.80000+ 1 2.84542- 6 6.73193- 2 1.30000+ 1 1.90000+ 1 9.53230- 6 6.73883- 2 1.30000+ 1 2.10000+ 1 7.11371- 8 6.75478- 2 1.30000+ 1 2.20000+ 1 1.20926- 6 6.75606- 2 1.30000+ 1 2.70000+ 1 4.97931- 7 6.77228- 2 1.30000+ 1 2.90000+ 1 4.26808- 7 6.77519- 2 1.30000+ 1 3.00000+ 1 1.35163- 6 6.77622- 2 1.30000+ 1 4.10000+ 1 7.11371- 8 6.78002- 2 1.40000+ 1 1.40000+ 1 1.28052- 6 6.60566- 2 1.40000+ 1 1.60000+ 1 2.27639- 6 6.72881- 2 1.40000+ 1 1.80000+ 1 7.18485- 6 6.73842- 2 1.40000+ 1 1.90000+ 1 7.89637- 6 6.74532- 2 1.40000+ 1 2.10000+ 1 1.20928- 6 6.76127- 2 1.40000+ 1 2.20000+ 1 5.69134- 7 6.76255- 2 1.40000+ 1 2.70000+ 1 4.26815- 7 6.77877- 2 1.40000+ 1 2.90000+ 1 1.06711- 6 6.78168- 2 1.40000+ 1 3.00000+ 1 1.06711- 6 6.78271- 2 1.40000+ 1 3.20000+ 1 7.11382- 8 6.78645- 2 1.40000+ 1 4.10000+ 1 7.11382- 8 6.78651- 2 1.60000+ 1 1.60000+ 1 1.01710- 5 6.85196- 2 1.60000+ 1 1.80000+ 1 1.30662- 5 6.86157- 2 1.60000+ 1 1.90000+ 1 8.82845- 6 6.86847- 2 1.60000+ 1 2.10000+ 1 7.06295- 7 6.88442- 2 1.60000+ 1 2.20000+ 1 5.65064- 7 6.88570- 2 1.60000+ 1 2.70000+ 1 3.60199- 6 6.90192- 2 1.60000+ 1 2.90000+ 1 1.97761- 6 6.90483- 2 1.60000+ 1 3.00000+ 1 1.27136- 6 6.90586- 2 1.60000+ 1 3.20000+ 1 7.06295- 8 6.90960- 2 1.60000+ 1 4.10000+ 1 3.53137- 7 6.90966- 2 1.80000+ 1 1.80000+ 1 7.82522- 7 6.87118- 2 1.80000+ 1 1.90000+ 1 1.48675- 5 6.87808- 2 1.80000+ 1 2.10000+ 1 6.40237- 7 6.89403- 2 1.80000+ 1 2.20000+ 1 1.70731- 6 6.89530- 2 1.80000+ 1 2.70000+ 1 2.27638- 6 6.91152- 2 1.80000+ 1 2.90000+ 1 2.13412- 7 6.91444- 2 1.80000+ 1 3.00000+ 1 2.06298- 6 6.91547- 2 1.80000+ 1 3.20000+ 1 7.11381- 8 6.91921- 2 1.80000+ 1 4.10000+ 1 2.13412- 7 6.91927- 2 1.90000+ 1 1.90000+ 1 7.14926- 6 6.88498- 2 1.90000+ 1 2.10000+ 1 2.17877- 6 6.90093- 2 1.90000+ 1 2.20000+ 1 1.77027- 6 6.90220- 2 1.90000+ 1 2.70000+ 1 1.49794- 6 6.91842- 2 1.90000+ 1 2.90000+ 1 2.11069- 6 6.92134- 2 1.90000+ 1 3.00000+ 1 2.04261- 6 6.92237- 2 1.90000+ 1 3.20000+ 1 1.36177- 7 6.92611- 2 1.90000+ 1 4.10000+ 1 1.36177- 7 6.92617- 2 2.10000+ 1 2.20000+ 1 3.07021- 7 6.91816- 2 2.10000+ 1 2.70000+ 1 1.53515- 7 6.93438- 2 2.10000+ 1 2.90000+ 1 7.67570- 8 6.93729- 2 2.10000+ 1 3.00000+ 1 3.07021- 7 6.93833- 2 2.20000+ 1 2.20000+ 1 7.57283- 8 6.91943- 2 2.20000+ 1 2.70000+ 1 7.57283- 8 6.93565- 2 2.20000+ 1 2.90000+ 1 2.27183- 7 6.93856- 2 2.20000+ 1 3.00000+ 1 3.02906- 7 6.93960- 2 2.70000+ 1 2.70000+ 1 3.15659- 7 6.95187- 2 2.70000+ 1 2.90000+ 1 3.94571- 7 6.95478- 2 2.70000+ 1 3.00000+ 1 2.36747- 7 6.95582- 2 2.70000+ 1 4.10000+ 1 7.89165- 8 6.95962- 2 2.90000+ 1 3.00000+ 1 3.03728- 7 6.95873- 2 3.00000+ 1 3.00000+ 1 1.21399- 7 6.95977- 2 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.12540- 5 5.04000- 4 6.00000+ 0 1.35880- 3 1.87100- 3 1.00000+ 1 2.26771- 2 9.50920- 3 1.10000+ 1 2.83871- 2 9.80580- 3 1.30000+ 1 6.58122- 4 1.01959- 2 1.40000+ 1 9.84863- 4 1.02608- 2 1.80000+ 1 5.56691- 3 1.15884- 2 1.90000+ 1 7.38562- 3 1.16574- 2 2.10000+ 1 9.30572- 5 1.18169- 2 2.20000+ 1 1.45270- 4 1.18297- 2 2.90000+ 1 8.62022- 4 1.20210- 2 3.00000+ 1 1.10780- 3 1.20313- 2 3.20000+ 1 2.46501- 6 1.20687- 2 3.30000+ 1 3.71561- 6 1.20696- 2 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.80000+ 1 1.78267- 2 1.53900- 5 5.00000+ 0 1.90000+ 1 1.84566- 2 8.43800- 5 5.00000+ 0 2.10000+ 1 5.04976- 3 2.43950- 4 5.00000+ 0 2.20000+ 1 7.11709- 3 2.56660- 4 5.00000+ 0 2.40000+ 1 1.45102- 2 4.58390- 4 5.00000+ 0 2.50000+ 1 1.90076- 2 4.60750- 4 5.00000+ 0 2.70000+ 1 3.85251- 3 4.18860- 4 5.00000+ 0 2.90000+ 1 2.51648- 3 4.47980- 4 5.00000+ 0 3.00000+ 1 2.50548- 3 4.58350- 4 5.00000+ 0 3.20000+ 1 3.03872- 4 4.95730- 4 5.00000+ 0 4.10000+ 1 3.39937- 4 4.96300- 4 6.00000+ 0 1.30000+ 1 1.67010- 1 0.00000+ 0 6.00000+ 0 1.40000+ 1 3.39470- 1 5.48000- 5 6.00000+ 0 1.60000+ 1 2.20873- 2 1.28630- 3 6.00000+ 0 1.80000+ 1 9.00723- 3 1.38239- 3 6.00000+ 0 1.90000+ 1 1.44403- 2 1.45138- 3 6.00000+ 0 2.10000+ 1 3.08144- 2 1.61095- 3 6.00000+ 0 2.20000+ 1 3.74005- 2 1.62366- 3 6.00000+ 0 2.40000+ 1 2.12954- 2 1.82539- 3 6.00000+ 0 2.50000+ 1 2.67308- 2 1.82775- 3 6.00000+ 0 2.70000+ 1 3.73415- 3 1.78586- 3 6.00000+ 0 2.90000+ 1 1.30545- 3 1.81498- 3 6.00000+ 0 3.00000+ 1 2.02466- 3 1.82535- 3 6.00000+ 0 3.20000+ 1 1.71160- 3 1.86273- 3 6.00000+ 0 4.10000+ 1 3.30101- 4 1.86330- 3 8.00000+ 0 8.00000+ 0 5.39577- 3 6.48400- 3 8.00000+ 0 1.00000+ 1 1.09728- 2 6.71270- 3 8.00000+ 0 1.10000+ 1 1.83678- 2 7.00930- 3 8.00000+ 0 1.30000+ 1 1.39984- 2 7.39940- 3 8.00000+ 0 1.40000+ 1 1.85818- 2 7.46430- 3 8.00000+ 0 1.60000+ 1 2.21144- 3 8.69580- 3 8.00000+ 0 1.80000+ 1 2.52700- 3 8.79189- 3 8.00000+ 0 1.90000+ 1 4.15241- 3 8.86088- 3 8.00000+ 0 2.10000+ 1 2.78857- 3 9.02045- 3 8.00000+ 0 2.20000+ 1 3.66197- 3 9.03316- 3 8.00000+ 0 2.40000+ 1 1.84478- 4 9.23489- 3 8.00000+ 0 2.50000+ 1 2.09295- 4 9.23725- 3 8.00000+ 0 2.70000+ 1 3.80675- 4 9.19536- 3 8.00000+ 0 2.90000+ 1 3.74116- 4 9.22448- 3 8.00000+ 0 3.00000+ 1 5.85751- 4 9.23485- 3 8.00000+ 0 3.20000+ 1 1.62241- 4 9.27223- 3 8.00000+ 0 4.10000+ 1 3.37121- 5 9.27280- 3 1.00000+ 1 1.00000+ 1 2.92640- 5 6.94140- 3 1.00000+ 1 1.10000+ 1 2.53775- 4 7.23800- 3 1.00000+ 1 1.30000+ 1 6.32803- 4 7.62810- 3 1.00000+ 1 1.40000+ 1 5.80660- 3 7.69300- 3 1.00000+ 1 1.60000+ 1 1.77386- 3 8.92450- 3 1.00000+ 1 1.80000+ 1 4.68215- 6 9.02059- 3 1.00000+ 1 1.90000+ 1 5.12690- 5 9.08958- 3 1.00000+ 1 2.10000+ 1 1.15885- 4 9.24915- 3 1.00000+ 1 2.20000+ 1 7.33000- 4 9.26186- 3 1.00000+ 1 2.40000+ 1 6.55510- 5 9.46359- 3 1.00000+ 1 2.50000+ 1 2.29418- 4 9.46595- 3 1.00000+ 1 2.70000+ 1 2.89121- 4 9.42406- 3 1.00000+ 1 2.90000+ 1 4.68215- 7 9.45318- 3 1.00000+ 1 3.00000+ 1 7.02324- 6 9.46355- 3 1.00000+ 1 3.20000+ 1 6.78907- 6 9.50093- 3 1.00000+ 1 4.10000+ 1 2.55175- 5 9.50150- 3 1.10000+ 1 1.10000+ 1 5.07792- 4 7.53460- 3 1.10000+ 1 1.30000+ 1 2.41462- 3 7.92470- 3 1.10000+ 1 1.40000+ 1 1.51373- 3 7.98960- 3 1.10000+ 1 1.60000+ 1 2.94326- 3 9.22110- 3 1.10000+ 1 1.80000+ 1 5.61875- 5 9.31719- 3 1.10000+ 1 1.90000+ 1 1.70430- 4 9.38618- 3 1.10000+ 1 2.10000+ 1 2.12815- 4 9.54575- 3 1.10000+ 1 2.20000+ 1 1.25026- 4 9.55846- 3 1.10000+ 1 2.40000+ 1 1.39764- 4 9.76019- 3 1.10000+ 1 2.50000+ 1 1.15187- 4 9.76255- 3 1.10000+ 1 2.70000+ 1 4.78765- 4 9.72066- 3 1.10000+ 1 2.90000+ 1 8.19385- 6 9.74978- 3 1.10000+ 1 3.00000+ 1 2.27084- 5 9.76015- 3 1.10000+ 1 3.20000+ 1 1.10028- 5 9.79753- 3 1.10000+ 1 4.10000+ 1 4.21401- 5 9.79810- 3 1.30000+ 1 1.30000+ 1 8.31788- 4 8.31480- 3 1.30000+ 1 1.40000+ 1 2.58815- 2 8.37970- 3 1.30000+ 1 1.60000+ 1 2.07822- 3 9.61120- 3 1.30000+ 1 1.80000+ 1 1.79326- 4 9.70729- 3 1.30000+ 1 1.90000+ 1 5.98390- 4 9.77628- 3 1.30000+ 1 2.10000+ 1 3.23537- 4 9.93585- 3 1.30000+ 1 2.20000+ 1 3.58502- 3 9.94856- 3 1.30000+ 1 2.40000+ 1 2.06012- 4 1.01503- 2 1.30000+ 1 2.50000+ 1 5.72623- 4 1.01526- 2 1.30000+ 1 2.70000+ 1 3.33366- 4 1.01108- 2 1.30000+ 1 2.90000+ 1 2.76253- 5 1.01399- 2 1.30000+ 1 3.00000+ 1 8.56845- 5 1.01502- 2 1.30000+ 1 3.20000+ 1 1.87285- 5 1.01876- 2 1.30000+ 1 4.10000+ 1 2.92641- 5 1.01882- 2 1.40000+ 1 1.40000+ 1 7.21941- 3 8.44460- 3 1.40000+ 1 1.60000+ 1 2.79283- 3 9.67610- 3 1.40000+ 1 1.80000+ 1 1.19341- 3 9.77219- 3 1.40000+ 1 1.90000+ 1 3.91185- 4 9.84118- 3 1.40000+ 1 2.10000+ 1 3.50592- 3 1.00007- 2 1.40000+ 1 2.20000+ 1 2.10905- 3 1.00135- 2 1.40000+ 1 2.40000+ 1 6.35585- 4 1.02152- 2 1.40000+ 1 2.50000+ 1 4.84590- 4 1.02175- 2 1.40000+ 1 2.70000+ 1 4.49945- 4 1.01757- 2 1.40000+ 1 2.90000+ 1 1.73231- 4 1.02048- 2 1.40000+ 1 3.00000+ 1 5.64187- 5 1.02151- 2 1.40000+ 1 3.20000+ 1 1.92908- 4 1.02525- 2 1.40000+ 1 4.10000+ 1 3.95625- 5 1.02531- 2 1.60000+ 1 1.60000+ 1 2.13983- 4 1.09076- 2 1.60000+ 1 1.80000+ 1 4.10158- 4 1.10037- 2 1.60000+ 1 1.90000+ 1 6.68154- 4 1.10727- 2 1.60000+ 1 2.10000+ 1 4.14377- 4 1.12322- 2 1.60000+ 1 2.20000+ 1 5.48050- 4 1.12450- 2 1.60000+ 1 2.40000+ 1 2.24741- 5 1.14467- 2 1.60000+ 1 2.50000+ 1 2.48158- 5 1.14490- 2 1.60000+ 1 2.70000+ 1 7.28087- 5 1.14072- 2 1.60000+ 1 2.90000+ 1 6.08692- 5 1.14363- 2 1.60000+ 1 3.00000+ 1 9.43480- 5 1.14466- 2 1.60000+ 1 3.20000+ 1 2.41139- 5 1.14840- 2 1.60000+ 1 4.10000+ 1 6.55516- 6 1.14846- 2 1.80000+ 1 1.90000+ 1 1.14707- 5 1.11688- 2 1.80000+ 1 2.10000+ 1 2.83277- 5 1.13283- 2 1.80000+ 1 2.20000+ 1 1.56152- 4 1.13410- 2 1.80000+ 1 2.40000+ 1 8.89628- 6 1.15428- 2 1.80000+ 1 2.50000+ 1 3.51170- 5 1.15451- 2 1.80000+ 1 2.70000+ 1 6.69564- 5 1.15032- 2 1.80000+ 1 3.00000+ 1 1.63881- 6 1.15427- 2 1.80000+ 1 3.20000+ 1 1.63881- 6 1.15801- 2 1.80000+ 1 4.10000+ 1 5.85283- 6 1.15807- 2 1.90000+ 1 1.90000+ 1 1.38120- 5 1.12378- 2 1.90000+ 1 2.10000+ 1 5.94631- 5 1.13973- 2 1.90000+ 1 2.20000+ 1 3.79243- 5 1.14100- 2 1.90000+ 1 2.40000+ 1 2.59851- 5 1.16118- 2 1.90000+ 1 2.50000+ 1 2.08359- 5 1.16141- 2 1.90000+ 1 2.70000+ 1 1.08634- 4 1.15722- 2 1.90000+ 1 2.90000+ 1 1.63876- 6 1.16014- 2 1.90000+ 1 3.00000+ 1 3.74564- 6 1.16117- 2 1.90000+ 1 3.20000+ 1 3.04335- 6 1.16491- 2 1.90000+ 1 4.10000+ 1 9.59837- 6 1.16497- 2 2.10000+ 1 2.10000+ 1 2.92641- 5 1.15569- 2 2.10000+ 1 2.20000+ 1 5.29789- 4 1.15696- 2 2.10000+ 1 2.40000+ 1 2.76253- 5 1.17713- 2 2.10000+ 1 2.50000+ 1 5.92301- 5 1.17737- 2 2.10000+ 1 2.70000+ 1 6.64870- 5 1.17318- 2 2.10000+ 1 2.90000+ 1 4.21393- 6 1.17609- 2 2.10000+ 1 3.00000+ 1 8.66204- 6 1.17713- 2 2.10000+ 1 3.20000+ 1 3.27746- 6 1.18087- 2 2.10000+ 1 4.10000+ 1 5.85272- 6 1.18092- 2 2.20000+ 1 2.20000+ 1 1.64809- 4 1.15823- 2 2.20000+ 1 2.40000+ 1 6.85942- 5 1.17840- 2 2.20000+ 1 2.50000+ 1 5.82945- 5 1.17864- 2 2.20000+ 1 2.70000+ 1 8.80238- 5 1.17445- 2 2.20000+ 1 2.90000+ 1 2.27081- 5 1.17736- 2 2.20000+ 1 3.00000+ 1 5.61868- 6 1.17840- 2 2.20000+ 1 3.20000+ 1 2.94973- 5 1.18214- 2 2.20000+ 1 4.10000+ 1 7.72561- 6 1.18220- 2 2.40000+ 1 2.40000+ 1 7.99890- 7 1.19858- 2 2.40000+ 1 2.50000+ 1 1.87965- 5 1.19881- 2 2.40000+ 1 2.70000+ 1 5.99918- 6 1.19462- 2 2.40000+ 1 2.90000+ 1 1.99973- 6 1.19754- 2 2.40000+ 1 3.00000+ 1 5.99918- 6 1.19857- 2 2.40000+ 1 3.20000+ 1 2.79965- 6 1.20231- 2 2.40000+ 1 4.10000+ 1 3.99945- 7 1.20237- 2 2.50000+ 1 2.50000+ 1 3.97975- 6 1.19905- 2 2.50000+ 1 2.70000+ 1 6.36754- 6 1.19486- 2 2.50000+ 1 2.90000+ 1 8.35742- 6 1.19777- 2 2.50000+ 1 3.00000+ 1 4.77573- 6 1.19881- 2 2.50000+ 1 3.20000+ 1 5.17365- 6 1.20255- 2 2.50000+ 1 4.10000+ 1 3.97975- 7 1.20260- 2 2.70000+ 1 2.70000+ 1 1.97272- 5 1.19067- 2 2.70000+ 1 2.90000+ 1 3.18652- 5 1.19358- 2 2.70000+ 1 3.00000+ 1 5.00757- 5 1.19462- 2 2.70000+ 1 3.20000+ 1 1.28985- 5 1.19836- 2 2.70000+ 1 4.10000+ 1 3.79368- 6 1.19842- 2 2.90000+ 1 3.00000+ 1 1.34840- 6 1.19753- 2 2.90000+ 1 3.20000+ 1 1.34840- 6 1.20127- 2 2.90000+ 1 4.10000+ 1 5.39343- 6 1.20133- 2 3.00000+ 1 3.00000+ 1 4.55331- 7 1.19857- 2 3.00000+ 1 3.20000+ 1 9.10662- 7 1.20231- 2 3.00000+ 1 4.10000+ 1 2.73192- 6 1.20236- 2 3.20000+ 1 4.10000+ 1 4.38281- 7 1.20610- 2 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 3.19950- 6 1.36700- 3 8.00000+ 0 6.76290- 3 8.77650- 3 1.10000+ 1 2.11970- 4 9.30180- 3 1.30000+ 1 2.39390- 1 9.69190- 3 1.60000+ 1 1.61060- 3 1.09883- 2 1.90000+ 1 5.48840- 5 1.11534- 2 2.10000+ 1 4.45530- 2 1.13129- 2 2.40000+ 1 1.17470- 4 1.15274- 2 2.70000+ 1 3.08850- 4 1.14879- 2 3.00000+ 1 1.14250- 5 1.15273- 2 3.20000+ 1 1.22050- 3 1.15647- 2 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 6.65395- 3 7.82300- 4 6.00000+ 0 1.80000+ 1 4.20762- 2 8.78390- 4 6.00000+ 0 1.90000+ 1 1.26705- 2 9.47380- 4 6.00000+ 0 2.10000+ 1 4.68123- 2 1.10695- 3 6.00000+ 0 2.20000+ 1 1.63721- 2 1.11966- 3 6.00000+ 0 2.40000+ 1 1.48972- 3 1.32139- 3 6.00000+ 0 2.50000+ 1 2.25975- 3 1.32375- 3 6.00000+ 0 2.70000+ 1 1.07763- 3 1.28186- 3 6.00000+ 0 2.90000+ 1 5.81037- 3 1.31098- 3 6.00000+ 0 3.00000+ 1 1.75656- 3 1.32135- 3 6.00000+ 0 3.20000+ 1 2.63625- 3 1.35873- 3 6.00000+ 0 4.10000+ 1 9.45702- 5 1.35930- 3 8.00000+ 0 8.00000+ 0 7.01115- 4 5.98000- 3 8.00000+ 0 1.00000+ 1 2.18505- 2 6.20870- 3 8.00000+ 0 1.10000+ 1 2.09638- 3 6.50530- 3 8.00000+ 0 1.30000+ 1 2.81842- 3 6.89540- 3 8.00000+ 0 1.40000+ 1 2.31122- 3 6.96030- 3 8.00000+ 0 1.60000+ 1 2.62127- 4 8.19180- 3 8.00000+ 0 1.80000+ 1 3.34211- 3 8.28789- 3 8.00000+ 0 1.90000+ 1 4.23245- 4 8.35688- 3 8.00000+ 0 2.10000+ 1 3.98141- 4 8.51645- 3 8.00000+ 0 2.20000+ 1 2.77870- 4 8.52916- 3 8.00000+ 0 2.40000+ 1 8.58143- 5 8.73089- 3 8.00000+ 0 2.50000+ 1 5.72088- 5 8.73325- 3 8.00000+ 0 2.70000+ 1 4.37832- 5 8.69136- 3 8.00000+ 0 2.90000+ 1 4.59437- 4 8.72048- 3 8.00000+ 0 3.00000+ 1 5.83780- 5 8.73085- 3 8.00000+ 0 3.20000+ 1 2.21833- 5 8.76823- 3 8.00000+ 0 4.10000+ 1 4.08636- 6 8.76880- 3 1.00000+ 1 1.00000+ 1 2.24645- 2 6.43740- 3 1.00000+ 1 1.10000+ 1 6.14276- 2 6.73400- 3 1.00000+ 1 1.30000+ 1 3.24184- 2 7.12410- 3 1.00000+ 1 1.40000+ 1 4.92659- 2 7.18900- 3 1.00000+ 1 1.60000+ 1 5.39860- 3 8.42050- 3 1.00000+ 1 1.80000+ 1 8.74500- 3 8.51659- 3 1.00000+ 1 1.90000+ 1 1.36505- 2 8.58558- 3 1.00000+ 1 2.10000+ 1 6.45542- 3 8.74515- 3 1.00000+ 1 2.20000+ 1 9.75398- 3 8.75786- 3 1.00000+ 1 2.40000+ 1 4.03394- 4 8.95959- 3 1.00000+ 1 2.50000+ 1 3.66599- 4 8.96195- 3 1.00000+ 1 2.70000+ 1 9.56769- 4 8.92006- 3 1.00000+ 1 2.90000+ 1 1.26210- 3 8.94918- 3 1.00000+ 1 3.00000+ 1 1.92062- 3 8.95955- 3 1.00000+ 1 3.20000+ 1 3.75355- 4 8.99693- 3 1.00000+ 1 4.10000+ 1 8.52342- 5 8.99750- 3 1.10000+ 1 1.10000+ 1 1.48743- 3 7.03060- 3 1.10000+ 1 1.30000+ 1 3.26011- 2 7.42070- 3 1.10000+ 1 1.40000+ 1 4.58457- 3 7.48560- 3 1.10000+ 1 1.60000+ 1 4.37838- 4 8.71710- 3 1.10000+ 1 1.80000+ 1 9.65187- 3 8.81319- 3 1.10000+ 1 1.90000+ 1 5.63340- 4 8.88218- 3 1.10000+ 1 2.10000+ 1 5.46188- 3 9.04175- 3 1.10000+ 1 2.20000+ 1 7.31497- 4 9.05446- 3 1.10000+ 1 2.40000+ 1 1.96149- 4 9.25619- 3 1.10000+ 1 2.50000+ 1 1.06247- 4 9.25855- 3 1.10000+ 1 2.70000+ 1 7.47230- 5 9.21666- 3 1.10000+ 1 2.90000+ 1 1.33281- 3 9.24578- 3 1.10000+ 1 3.00000+ 1 7.70585- 5 9.25615- 3 1.10000+ 1 3.20000+ 1 3.09996- 4 9.29353- 3 1.10000+ 1 4.10000+ 1 6.42170- 6 9.29410- 3 1.30000+ 1 1.30000+ 1 3.06344- 2 7.81080- 3 1.30000+ 1 1.40000+ 1 1.24715- 1 7.87570- 3 1.30000+ 1 1.60000+ 1 7.00536- 4 9.10720- 3 1.30000+ 1 1.80000+ 1 4.99251- 3 9.20329- 3 1.30000+ 1 1.90000+ 1 6.74668- 3 9.27228- 3 1.30000+ 1 2.10000+ 1 1.01742- 2 9.43185- 3 1.30000+ 1 2.20000+ 1 2.22527- 2 9.44456- 3 1.30000+ 1 2.40000+ 1 1.51959- 3 9.64629- 3 1.30000+ 1 2.50000+ 1 3.09109- 3 9.64865- 3 1.30000+ 1 2.70000+ 1 1.24342- 4 9.60676- 3 1.30000+ 1 2.90000+ 1 6.91789- 4 9.63588- 3 1.30000+ 1 3.00000+ 1 9.36959- 4 9.64625- 3 1.30000+ 1 3.20000+ 1 5.79109- 4 9.68363- 3 1.30000+ 1 4.10000+ 1 1.10921- 5 9.68420- 3 1.40000+ 1 1.40000+ 1 6.02108- 3 7.94060- 3 1.40000+ 1 1.60000+ 1 4.64119- 4 9.17210- 3 1.40000+ 1 1.80000+ 1 6.70764- 3 9.26819- 3 1.40000+ 1 1.90000+ 1 8.70996- 4 9.33718- 3 1.40000+ 1 2.10000+ 1 1.70843- 2 9.49675- 3 1.40000+ 1 2.20000+ 1 1.95103- 3 9.50946- 3 1.40000+ 1 2.40000+ 1 6.10050- 4 9.71119- 3 1.40000+ 1 2.50000+ 1 2.34695- 4 9.71355- 3 1.40000+ 1 2.70000+ 1 7.88080- 5 9.67166- 3 1.40000+ 1 2.90000+ 1 9.00775- 4 9.70078- 3 1.40000+ 1 3.00000+ 1 1.19095- 4 9.71115- 3 1.40000+ 1 3.20000+ 1 9.43393- 4 9.74853- 3 1.40000+ 1 4.10000+ 1 7.00544- 6 9.74910- 3 1.60000+ 1 1.60000+ 1 2.33510- 5 1.04036- 2 1.60000+ 1 1.80000+ 1 8.30711- 4 1.04997- 2 1.60000+ 1 1.90000+ 1 8.87367- 5 1.05687- 2 1.60000+ 1 2.10000+ 1 9.57432- 5 1.07282- 2 1.60000+ 1 2.20000+ 1 5.60438- 5 1.07410- 2 1.60000+ 1 2.40000+ 1 1.86810- 5 1.09427- 2 1.60000+ 1 2.50000+ 1 9.92439- 6 1.09450- 2 1.60000+ 1 2.70000+ 1 7.58947- 6 1.09032- 2 1.60000+ 1 2.90000+ 1 1.14421- 4 1.09323- 2 1.60000+ 1 3.00000+ 1 1.22595- 5 1.09426- 2 1.60000+ 1 3.20000+ 1 5.25410- 6 1.09800- 2 1.60000+ 1 4.10000+ 1 5.83792- 7 1.09806- 2 1.80000+ 1 1.80000+ 1 8.09677- 4 1.05958- 2 1.80000+ 1 1.90000+ 1 2.14889- 3 1.06648- 2 1.80000+ 1 2.10000+ 1 9.78390- 4 1.08243- 2 1.80000+ 1 2.20000+ 1 1.33975- 3 1.08370- 2 1.80000+ 1 2.40000+ 1 5.07883- 5 1.10388- 2 1.80000+ 1 2.50000+ 1 3.73626- 5 1.10411- 2 1.80000+ 1 2.70000+ 1 1.47105- 4 1.09992- 2 1.80000+ 1 2.90000+ 1 2.31769- 4 1.10284- 2 1.80000+ 1 3.00000+ 1 3.02396- 4 1.10387- 2 1.80000+ 1 3.20000+ 1 5.66266- 5 1.10761- 2 1.80000+ 1 4.10000+ 1 1.28435- 5 1.10767- 2 1.90000+ 1 1.90000+ 1 5.37091- 5 1.07338- 2 1.90000+ 1 2.10000+ 1 1.13961- 3 1.08933- 2 1.90000+ 1 2.20000+ 1 1.41860- 4 1.09060- 2 1.90000+ 1 2.40000+ 1 3.32765- 5 1.11078- 2 1.90000+ 1 2.50000+ 1 1.69298- 5 1.11101- 2 1.90000+ 1 2.70000+ 1 1.51783- 5 1.10682- 2 1.90000+ 1 2.90000+ 1 2.96571- 4 1.10974- 2 1.90000+ 1 3.00000+ 1 1.45952- 5 1.11077- 2 1.90000+ 1 3.20000+ 1 6.48016- 5 1.11451- 2 1.90000+ 1 4.10000+ 1 1.16755- 6 1.11457- 2 2.10000+ 1 2.10000+ 1 8.35431- 4 1.10529- 2 2.10000+ 1 2.20000+ 1 3.17043- 3 1.10656- 2 2.10000+ 1 2.40000+ 1 1.73386- 4 1.12673- 2 2.10000+ 1 2.50000+ 1 3.57278- 4 1.12697- 2 2.10000+ 1 2.70000+ 1 1.69293- 5 1.12278- 2 2.10000+ 1 2.90000+ 1 1.34849- 4 1.12569- 2 2.10000+ 1 3.00000+ 1 1.58787- 4 1.12673- 2 2.10000+ 1 3.20000+ 1 9.51573- 5 1.13047- 2 2.10000+ 1 4.10000+ 1 1.75135- 6 1.13052- 2 2.20000+ 1 2.20000+ 1 1.82747- 4 1.10783- 2 2.20000+ 1 2.40000+ 1 8.63547- 5 1.12800- 2 2.20000+ 1 2.50000+ 1 3.34705- 5 1.12824- 2 2.20000+ 1 2.70000+ 1 1.07108- 5 1.12405- 2 2.20000+ 1 2.90000+ 1 2.06843- 4 1.12696- 2 2.20000+ 1 3.00000+ 1 2.20908- 5 1.12800- 2 2.20000+ 1 3.20000+ 1 2.01493- 4 1.13174- 2 2.20000+ 1 4.10000+ 1 6.69421- 7 1.13180- 2 2.40000+ 1 2.40000+ 1 3.48544- 6 1.14818- 2 2.40000+ 1 2.50000+ 1 2.64894- 5 1.14841- 2 2.40000+ 1 2.70000+ 1 4.18246- 6 1.14422- 2 2.40000+ 1 2.90000+ 1 8.36515- 6 1.14714- 2 2.40000+ 1 3.00000+ 1 5.57683- 6 1.14817- 2 2.40000+ 1 3.20000+ 1 1.11537- 5 1.15191- 2 2.50000+ 1 2.50000+ 1 1.50518- 6 1.14865- 2 2.50000+ 1 2.70000+ 1 2.25786- 6 1.14446- 2 2.50000+ 1 2.90000+ 1 6.02103- 6 1.14737- 2 2.50000+ 1 3.00000+ 1 3.01040- 6 1.14841- 2 2.50000+ 1 3.20000+ 1 2.48365- 5 1.15215- 2 2.70000+ 1 2.70000+ 1 8.18826- 7 1.14027- 2 2.70000+ 1 2.90000+ 1 2.86584- 5 1.14318- 2 2.70000+ 1 3.00000+ 1 3.27521- 6 1.14422- 2 2.70000+ 1 3.20000+ 1 1.63758- 6 1.14796- 2 2.90000+ 1 2.90000+ 1 2.62498- 5 1.14610- 2 2.90000+ 1 3.00000+ 1 6.75000- 5 1.14713- 2 2.90000+ 1 3.20000+ 1 1.21876- 5 1.15087- 2 2.90000+ 1 4.10000+ 1 2.81244- 6 1.15093- 2 3.00000+ 1 3.00000+ 1 1.16753- 6 1.14817- 2 3.00000+ 1 3.20000+ 1 8.75647- 6 1.15191- 2 3.20000+ 1 3.20000+ 1 2.91880- 6 1.15565- 2 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.25270- 2 7.40950- 3 1.00000+ 1 1.07220- 4 7.63820- 3 1.10000+ 1 9.71278- 5 7.93480- 3 1.30000+ 1 2.12730- 2 8.32490- 3 1.40000+ 1 1.87700- 1 8.38980- 3 1.60000+ 1 2.33790- 3 9.62130- 3 1.80000+ 1 2.26230- 5 9.71739- 3 1.90000+ 1 2.23060- 5 9.78638- 3 2.10000+ 1 3.71129- 3 9.94595- 3 2.20000+ 1 3.32849- 2 9.95866- 3 2.40000+ 1 1.73100- 5 1.01604- 2 2.50000+ 1 9.71988- 5 1.01627- 2 2.70000+ 1 4.73079- 4 1.01209- 2 2.90000+ 1 4.83819- 6 1.01500- 2 3.00000+ 1 4.56019- 6 1.01603- 2 3.20000+ 1 1.01660- 4 1.01977- 2 3.30000+ 1 8.69029- 4 1.01986- 2 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 9.23745- 4 4.61300- 3 8.00000+ 0 1.00000+ 1 5.19074- 4 4.84170- 3 8.00000+ 0 1.10000+ 1 2.35184- 2 5.13830- 3 8.00000+ 0 1.30000+ 1 2.65405- 3 5.52840- 3 8.00000+ 0 1.40000+ 1 3.88773- 3 5.59330- 3 8.00000+ 0 1.60000+ 1 3.46625- 4 6.82480- 3 8.00000+ 0 1.80000+ 1 9.18436- 5 6.92089- 3 8.00000+ 0 1.90000+ 1 3.52791- 3 6.98988- 3 8.00000+ 0 2.10000+ 1 2.54797- 4 7.14945- 3 8.00000+ 0 2.20000+ 1 3.36573- 4 7.16216- 3 8.00000+ 0 2.40000+ 1 1.59986- 4 7.36389- 3 8.00000+ 0 2.50000+ 1 2.87384- 4 7.36625- 3 8.00000+ 0 2.70000+ 1 5.80682- 5 7.32436- 3 8.00000+ 0 2.90000+ 1 1.30360- 5 7.35348- 3 8.00000+ 0 3.00000+ 1 4.62793- 4 7.36385- 3 8.00000+ 0 3.20000+ 1 1.36283- 5 7.40123- 3 8.00000+ 0 4.10000+ 1 5.33297- 6 7.40180- 3 1.00000+ 1 1.00000+ 1 9.83613- 5 5.07040- 3 1.00000+ 1 1.10000+ 1 3.94669- 2 5.36700- 3 1.00000+ 1 1.30000+ 1 2.07800- 3 5.75710- 3 1.00000+ 1 1.40000+ 1 1.83171- 2 5.82200- 3 1.00000+ 1 1.60000+ 1 1.04289- 4 7.05350- 3 1.00000+ 1 1.80000+ 1 3.96995- 5 7.14959- 3 1.00000+ 1 1.90000+ 1 6.14990- 3 7.21858- 3 1.00000+ 1 2.10000+ 1 3.72105- 4 7.37815- 3 1.00000+ 1 2.20000+ 1 2.72914- 3 7.39086- 3 1.00000+ 1 2.40000+ 1 1.67094- 4 7.59259- 3 1.00000+ 1 2.50000+ 1 4.33139- 4 7.59495- 3 1.00000+ 1 2.70000+ 1 1.77762- 5 7.55306- 3 1.00000+ 1 2.90000+ 1 5.92547- 6 7.58218- 3 1.00000+ 1 3.00000+ 1 8.12346- 4 7.59255- 3 1.00000+ 1 3.20000+ 1 2.13311- 5 7.62993- 3 1.00000+ 1 4.10000+ 1 1.77762- 6 7.63050- 3 1.10000+ 1 1.10000+ 1 5.16042- 2 5.66360- 3 1.10000+ 1 1.30000+ 1 5.38647- 2 6.05370- 3 1.10000+ 1 1.40000+ 1 7.56873- 2 6.11860- 3 1.10000+ 1 1.60000+ 1 5.73036- 3 7.35010- 3 1.10000+ 1 1.80000+ 1 8.59420- 3 7.44619- 3 1.10000+ 1 1.90000+ 1 1.93829- 2 7.51518- 3 1.10000+ 1 2.10000+ 1 1.01669- 2 7.67475- 3 1.10000+ 1 2.20000+ 1 1.40280- 2 7.68746- 3 1.10000+ 1 2.40000+ 1 6.90904- 4 7.88919- 3 1.10000+ 1 2.50000+ 1 8.70470- 4 7.89155- 3 1.10000+ 1 2.70000+ 1 1.01267- 3 7.84966- 3 1.10000+ 1 2.90000+ 1 1.26156- 3 7.87878- 3 1.10000+ 1 3.00000+ 1 2.65753- 3 7.88915- 3 1.10000+ 1 3.20000+ 1 5.87793- 4 7.92653- 3 1.10000+ 1 4.10000+ 1 9.00670- 5 7.92710- 3 1.30000+ 1 1.30000+ 1 7.66398- 3 6.44380- 3 1.30000+ 1 1.40000+ 1 1.44331- 1 6.50870- 3 1.30000+ 1 1.60000+ 1 6.18620- 4 7.74020- 3 1.30000+ 1 1.80000+ 1 4.63368- 4 7.83629- 3 1.30000+ 1 1.90000+ 1 7.70669- 3 7.90528- 3 1.30000+ 1 2.10000+ 1 2.48643- 3 8.06485- 3 1.30000+ 1 2.20000+ 1 1.96100- 2 8.07756- 3 1.30000+ 1 2.40000+ 1 3.87525- 4 8.27929- 3 1.30000+ 1 2.50000+ 1 1.32193- 3 8.28165- 3 1.30000+ 1 2.70000+ 1 1.08441- 4 8.23976- 3 1.30000+ 1 2.90000+ 1 6.81428- 5 8.26888- 3 1.30000+ 1 3.00000+ 1 1.00263- 3 8.27925- 3 1.30000+ 1 3.20000+ 1 1.41018- 4 8.31663- 3 1.30000+ 1 4.10000+ 1 9.48054- 6 8.31720- 3 1.40000+ 1 1.40000+ 1 9.66788- 2 6.57360- 3 1.40000+ 1 1.60000+ 1 9.37392- 4 7.80510- 3 1.40000+ 1 1.80000+ 1 3.64850- 3 7.90119- 3 1.40000+ 1 1.90000+ 1 1.22214- 2 7.97018- 3 1.40000+ 1 2.10000+ 1 2.36783- 2 8.12975- 3 1.40000+ 1 2.20000+ 1 2.98948- 2 8.14246- 3 1.40000+ 1 2.40000+ 1 4.12066- 3 8.34419- 3 1.40000+ 1 2.50000+ 1 3.76354- 3 8.34655- 3 1.40000+ 1 2.70000+ 1 1.66519- 4 8.30466- 3 1.40000+ 1 2.90000+ 1 5.26786- 4 8.33378- 3 1.40000+ 1 3.00000+ 1 1.63426- 3 8.34415- 3 1.40000+ 1 3.20000+ 1 1.34393- 3 8.38153- 3 1.40000+ 1 4.10000+ 1 1.48144- 5 8.38210- 3 1.60000+ 1 1.60000+ 1 3.25910- 5 9.03660- 3 1.60000+ 1 1.80000+ 1 1.89614- 5 9.13269- 3 1.60000+ 1 1.90000+ 1 8.60989- 4 9.20168- 3 1.60000+ 1 2.10000+ 1 6.51811- 5 9.36125- 3 1.60000+ 1 2.20000+ 1 8.82940- 5 9.37396- 3 1.60000+ 1 2.40000+ 1 2.25175- 5 9.57569- 3 1.60000+ 1 2.50000+ 1 4.56262- 5 9.57805- 3 1.60000+ 1 2.70000+ 1 1.12582- 5 9.53616- 3 1.60000+ 1 2.90000+ 1 2.96274- 6 9.56528- 3 1.60000+ 1 3.00000+ 1 1.13177- 4 9.57565- 3 1.60000+ 1 3.20000+ 1 3.55526- 6 9.61303- 3 1.60000+ 1 4.10000+ 1 1.18515- 6 9.61360- 3 1.80000+ 1 1.80000+ 1 2.96267- 6 9.22878- 3 1.80000+ 1 1.90000+ 1 1.33380- 3 9.29777- 3 1.80000+ 1 2.10000+ 1 7.94008- 5 9.45734- 3 1.80000+ 1 2.20000+ 1 5.72405- 4 9.47005- 3 1.80000+ 1 2.40000+ 1 2.42927- 5 9.67178- 3 1.80000+ 1 2.50000+ 1 5.92552- 5 9.67414- 3 1.80000+ 1 2.70000+ 1 3.55517- 6 9.63225- 3 1.80000+ 1 2.90000+ 1 5.92552- 7 9.66137- 3 1.80000+ 1 3.00000+ 1 1.75991- 4 9.67174- 3 1.80000+ 1 3.20000+ 1 4.74039- 6 9.70912- 3 1.90000+ 1 1.90000+ 1 1.74743- 3 9.36676- 3 1.90000+ 1 2.10000+ 1 1.45701- 3 9.52633- 3 1.90000+ 1 2.20000+ 1 2.22964- 3 9.53904- 3 1.90000+ 1 2.40000+ 1 8.11763- 5 9.74077- 3 1.90000+ 1 2.50000+ 1 1.07846- 4 9.74313- 3 1.90000+ 1 2.70000+ 1 1.52279- 4 9.70124- 3 1.90000+ 1 2.90000+ 1 1.95534- 4 9.73036- 3 1.90000+ 1 3.00000+ 1 4.75806- 4 9.74073- 3 1.90000+ 1 3.20000+ 1 8.41379- 5 9.77811- 3 1.90000+ 1 4.10000+ 1 1.36282- 5 9.77868- 3 2.10000+ 1 2.10000+ 1 1.94355- 4 9.68590- 3 2.10000+ 1 2.20000+ 1 3.34790- 3 9.69861- 3 2.10000+ 1 2.40000+ 1 4.26638- 5 9.90034- 3 2.10000+ 1 2.50000+ 1 1.39244- 4 9.90270- 3 2.10000+ 1 2.70000+ 1 1.12580- 5 9.86081- 3 2.10000+ 1 2.90000+ 1 1.18513- 5 9.88993- 3 2.10000+ 1 3.00000+ 1 1.89611- 4 9.90030- 3 2.10000+ 1 3.20000+ 1 2.19247- 5 9.93768- 3 2.10000+ 1 4.10000+ 1 1.18513- 6 9.93825- 3 2.20000+ 1 2.20000+ 1 2.62580- 3 9.71132- 3 2.20000+ 1 2.40000+ 1 4.99664- 4 9.91305- 3 2.20000+ 1 2.50000+ 1 4.50120- 4 9.91541- 3 2.20000+ 1 2.70000+ 1 1.80845- 5 9.87352- 3 2.20000+ 1 2.90000+ 1 9.37760- 5 9.90264- 3 2.20000+ 1 3.00000+ 1 3.36242- 4 9.91301- 3 2.20000+ 1 3.20000+ 1 2.15666- 4 9.95039- 3 2.20000+ 1 4.10000+ 1 1.33965- 6 9.95096- 3 2.40000+ 1 2.40000+ 1 2.05986- 6 1.01148- 2 2.40000+ 1 2.50000+ 1 6.69436- 5 1.01171- 2 2.40000+ 1 2.70000+ 1 6.17927- 6 1.00752- 2 2.40000+ 1 2.90000+ 1 6.17927- 6 1.01044- 2 2.40000+ 1 3.00000+ 1 1.75085- 5 1.01147- 2 2.40000+ 1 3.20000+ 1 4.11941- 6 1.01521- 2 2.40000+ 1 4.10000+ 1 1.02992- 6 1.01527- 2 2.50000+ 1 2.50000+ 1 1.68932- 5 1.01195- 2 2.50000+ 1 2.70000+ 1 9.54832- 6 1.00776- 2 2.50000+ 1 2.90000+ 1 1.02834- 5 1.01067- 2 2.50000+ 1 3.00000+ 1 1.68932- 5 1.01171- 2 2.50000+ 1 3.20000+ 1 9.54832- 6 1.01545- 2 2.50000+ 1 4.10000+ 1 7.34516- 7 1.01550- 2 2.70000+ 1 2.70000+ 1 2.05223- 6 1.00357- 2 2.70000+ 1 2.90000+ 1 1.02610- 6 1.00648- 2 2.70000+ 1 3.00000+ 1 3.48855- 5 1.00752- 2 2.70000+ 1 3.20000+ 1 1.02610- 6 1.01126- 2 2.90000+ 1 3.00000+ 1 6.62854- 5 1.01043- 2 2.90000+ 1 3.20000+ 1 1.50652- 6 1.01417- 2 3.00000+ 1 3.00000+ 1 1.07658- 4 1.01147- 2 3.00000+ 1 3.20000+ 1 3.71894- 5 1.01521- 2 3.00000+ 1 4.10000+ 1 5.87221- 6 1.01526- 2 3.20000+ 1 3.20000+ 1 5.92559- 7 1.01895- 2 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 9.99486- 6 2.28700- 4 1.10000+ 1 2.53380- 4 5.25300- 4 1.80000+ 1 9.57163- 4 2.30789- 3 1.90000+ 1 9.07619- 4 2.37688- 3 2.90000+ 1 2.11596- 4 2.74048- 3 3.00000+ 1 1.96392- 4 2.75085- 3 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 3.97490- 2 1.83090- 4 1.00000+ 1 2.50000+ 1 5.32021- 2 1.85450- 4 1.00000+ 1 2.70000+ 1 9.95388- 3 1.43560- 4 1.00000+ 1 2.90000+ 1 8.88774- 3 1.72680- 4 1.00000+ 1 3.00000+ 1 1.24028- 2 1.83050- 4 1.00000+ 1 3.20000+ 1 1.40795- 3 2.20430- 4 1.00000+ 1 3.30000+ 1 1.85048- 3 2.21290- 4 1.00000+ 1 4.10000+ 1 8.79261- 4 2.21000- 4 1.10000+ 1 1.80000+ 1 6.57511- 2 3.66900- 5 1.10000+ 1 1.90000+ 1 7.65661- 2 1.05680- 4 1.10000+ 1 2.10000+ 1 2.89562- 2 2.65250- 4 1.10000+ 1 2.20000+ 1 4.33014- 2 2.77960- 4 1.10000+ 1 2.40000+ 1 1.52896- 1 4.79690- 4 1.10000+ 1 2.50000+ 1 1.90867- 1 4.82050- 4 1.10000+ 1 2.70000+ 1 1.01299- 2 4.40160- 4 1.10000+ 1 2.90000+ 1 9.00907- 3 4.69280- 4 1.10000+ 1 3.00000+ 1 1.05729- 2 4.79650- 4 1.10000+ 1 3.20000+ 1 6.14782- 4 5.17030- 4 1.10000+ 1 3.30000+ 1 9.07259- 4 5.17890- 4 1.10000+ 1 4.10000+ 1 9.07711- 4 5.17600- 4 1.30000+ 1 1.60000+ 1 2.63648- 2 3.30700- 4 1.30000+ 1 1.80000+ 1 5.84053- 3 4.26790- 4 1.30000+ 1 1.90000+ 1 6.06441- 3 4.95780- 4 1.30000+ 1 2.10000+ 1 8.85587- 3 6.55350- 4 1.30000+ 1 2.20000+ 1 1.10350- 2 6.68060- 4 1.30000+ 1 2.40000+ 1 7.87333- 3 8.69790- 4 1.30000+ 1 2.50000+ 1 7.28906- 3 8.72150- 4 1.30000+ 1 2.70000+ 1 3.08923- 3 8.30260- 4 1.30000+ 1 2.90000+ 1 6.79442- 4 8.59380- 4 1.30000+ 1 3.00000+ 1 6.61975- 4 8.69750- 4 1.30000+ 1 3.20000+ 1 1.79250- 4 9.07130- 4 1.30000+ 1 3.30000+ 1 2.24524- 4 9.07990- 4 1.30000+ 1 4.10000+ 1 2.64523- 4 9.07700- 4 1.40000+ 1 1.60000+ 1 3.74579- 2 3.95600- 4 1.40000+ 1 1.80000+ 1 1.09152- 3 4.91690- 4 1.40000+ 1 1.90000+ 1 1.12688- 2 5.60680- 4 1.40000+ 1 2.10000+ 1 1.22086- 2 7.20250- 4 1.40000+ 1 2.20000+ 1 1.78170- 2 7.32960- 4 1.40000+ 1 2.40000+ 1 8.93083- 3 9.34690- 4 1.40000+ 1 2.50000+ 1 1.39736- 2 9.37050- 4 1.40000+ 1 2.70000+ 1 4.33921- 3 8.95160- 4 1.40000+ 1 2.90000+ 1 1.37901- 4 9.24280- 4 1.40000+ 1 3.00000+ 1 1.22326- 3 9.34650- 4 1.40000+ 1 3.20000+ 1 2.64233- 4 9.72030- 4 1.40000+ 1 3.30000+ 1 3.50558- 4 9.72890- 4 1.40000+ 1 4.10000+ 1 3.70871- 4 9.72600- 4 1.60000+ 1 1.60000+ 1 3.19328- 3 1.62710- 3 1.60000+ 1 1.80000+ 1 5.47981- 3 1.72319- 3 1.60000+ 1 1.90000+ 1 9.33251- 3 1.79218- 3 1.60000+ 1 2.10000+ 1 1.04592- 2 1.95175- 3 1.60000+ 1 2.20000+ 1 1.48532- 2 1.96446- 3 1.60000+ 1 2.40000+ 1 6.26430- 3 2.16619- 3 1.60000+ 1 2.50000+ 1 7.89126- 3 2.16855- 3 1.60000+ 1 2.70000+ 1 9.32470- 4 2.12666- 3 1.60000+ 1 2.90000+ 1 8.09727- 4 2.15578- 3 1.60000+ 1 3.00000+ 1 1.31549- 3 2.16615- 3 1.60000+ 1 3.20000+ 1 2.45464- 4 2.20353- 3 1.60000+ 1 3.30000+ 1 3.28417- 4 2.20439- 3 1.60000+ 1 4.10000+ 1 8.26889- 5 2.20410- 3 1.80000+ 1 1.80000+ 1 2.44067- 4 1.81928- 3 1.80000+ 1 1.90000+ 1 6.63727- 4 1.88827- 3 1.80000+ 1 2.10000+ 1 3.62806- 4 2.04784- 3 1.80000+ 1 2.20000+ 1 2.07425- 4 2.06055- 3 1.80000+ 1 2.40000+ 1 6.36672- 5 2.26228- 3 1.80000+ 1 2.50000+ 1 4.44662- 4 2.26464- 3 1.80000+ 1 2.70000+ 1 6.09134- 4 2.22275- 3 1.80000+ 1 2.90000+ 1 5.58352- 5 2.25187- 3 1.80000+ 1 3.00000+ 1 7.14976- 5 2.26224- 3 1.80000+ 1 3.20000+ 1 7.57946- 6 2.29962- 3 1.80000+ 1 3.30000+ 1 5.30555- 6 2.30048- 3 1.80000+ 1 4.10000+ 1 5.20467- 5 2.30019- 3 1.90000+ 1 1.90000+ 1 8.20359- 4 1.95726- 3 1.90000+ 1 2.10000+ 1 6.49575- 4 2.11683- 3 1.90000+ 1 2.20000+ 1 1.53109- 3 2.12954- 3 1.90000+ 1 2.40000+ 1 5.10366- 4 2.33127- 3 1.90000+ 1 2.50000+ 1 9.39632- 4 2.33363- 3 1.90000+ 1 2.70000+ 1 1.04269- 3 2.29174- 3 1.90000+ 1 2.90000+ 1 8.31222- 5 2.32086- 3 1.90000+ 1 3.00000+ 1 1.95304- 4 2.33123- 3 1.90000+ 1 3.20000+ 1 1.56647- 5 2.36861- 3 1.90000+ 1 3.30000+ 1 3.25925- 5 2.36947- 3 1.90000+ 1 4.10000+ 1 8.91853- 5 2.36918- 3 2.10000+ 1 2.10000+ 1 1.20497- 4 2.27640- 3 2.10000+ 1 2.20000+ 1 5.54004- 4 2.28911- 3 2.10000+ 1 2.40000+ 1 4.56948- 4 2.49084- 3 2.10000+ 1 2.50000+ 1 3.29048- 3 2.49320- 3 2.10000+ 1 2.70000+ 1 1.19500- 3 2.45131- 3 2.10000+ 1 2.90000+ 1 3.90235- 5 2.48043- 3 2.10000+ 1 3.00000+ 1 7.62025- 5 2.49080- 3 2.10000+ 1 3.20000+ 1 4.74620- 6 2.52818- 3 2.10000+ 1 3.30000+ 1 1.08105- 5 2.52904- 3 2.10000+ 1 4.10000+ 1 1.01778- 4 2.52875- 3 2.20000+ 1 2.20000+ 1 3.09346- 4 2.30182- 3 2.20000+ 1 2.40000+ 1 3.05615- 3 2.50355- 3 2.20000+ 1 2.50000+ 1 1.77761- 3 2.50591- 3 2.20000+ 1 2.70000+ 1 1.63780- 3 2.46402- 3 2.20000+ 1 2.90000+ 1 2.34624- 5 2.49314- 3 2.20000+ 1 3.00000+ 1 1.71878- 4 2.50351- 3 2.20000+ 1 3.20000+ 1 1.04555- 5 2.54089- 3 2.20000+ 1 3.30000+ 1 1.17309- 5 2.54175- 3 2.20000+ 1 4.10000+ 1 1.39492- 4 2.54146- 3 2.40000+ 1 2.40000+ 1 4.99738- 4 2.70528- 3 2.40000+ 1 2.50000+ 1 3.52361- 3 2.70764- 3 2.40000+ 1 2.70000+ 1 6.35152- 4 2.66575- 3 2.40000+ 1 2.90000+ 1 6.56879- 6 2.69487- 3 2.40000+ 1 3.00000+ 1 4.52231- 5 2.70524- 3 2.40000+ 1 3.20000+ 1 9.34796- 6 2.74262- 3 2.40000+ 1 3.30000+ 1 6.64450- 5 2.74348- 3 2.40000+ 1 4.10000+ 1 5.35606- 5 2.74319- 3 2.50000+ 1 2.50000+ 1 1.19387- 3 2.71000- 3 2.50000+ 1 2.70000+ 1 8.08319- 4 2.66811- 3 2.50000+ 1 2.90000+ 1 5.95247- 5 2.69723- 3 2.50000+ 1 3.00000+ 1 8.73724- 5 2.70760- 3 2.50000+ 1 3.20000+ 1 7.28095- 5 2.74498- 3 2.50000+ 1 3.30000+ 1 3.80655- 5 2.74584- 3 2.50000+ 1 4.10000+ 1 6.82114- 5 2.74555- 3 2.70000+ 1 2.70000+ 1 1.04521- 4 2.62622- 3 2.70000+ 1 2.90000+ 1 1.52731- 4 2.65534- 3 2.70000+ 1 3.00000+ 1 2.48299- 4 2.66571- 3 2.70000+ 1 3.20000+ 1 4.56475- 5 2.70309- 3 2.70000+ 1 3.30000+ 1 6.10041- 5 2.70395- 3 2.70000+ 1 4.10000+ 1 1.83452- 5 2.70366- 3 2.90000+ 1 2.90000+ 1 6.27319- 6 2.68446- 3 2.90000+ 1 3.00000+ 1 1.82970- 5 2.69483- 3 2.90000+ 1 3.20000+ 1 1.56830- 6 2.73221- 3 2.90000+ 1 3.30000+ 1 1.04552- 6 2.73307- 3 2.90000+ 1 4.10000+ 1 1.62058- 5 2.73278- 3 3.00000+ 1 3.00000+ 1 2.93483- 5 2.70520- 3 3.00000+ 1 3.20000+ 1 4.56512- 6 2.74258- 3 3.00000+ 1 3.30000+ 1 9.13022- 6 2.74344- 3 3.00000+ 1 4.10000+ 1 3.26074- 5 2.74315- 3 3.20000+ 1 3.30000+ 1 2.52652- 7 2.78082- 3 3.20000+ 1 4.10000+ 1 2.27392- 6 2.78053- 3 3.30000+ 1 4.10000+ 1 3.03184- 6 2.78139- 3 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 7.65090- 4 6.86700- 4 1.60000+ 1 6.16630- 4 1.98310- 3 2.10000+ 1 3.24490- 3 2.30775- 3 2.70000+ 1 1.20370- 4 2.48266- 3 3.20000+ 1 1.02610- 4 2.55953- 3 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 7.13620- 3 3.65500- 5 1.10000+ 1 2.20000+ 1 1.76020- 2 4.92600- 5 1.10000+ 1 2.40000+ 1 2.73273- 2 2.50990- 4 1.10000+ 1 2.50000+ 1 2.70381- 2 2.53350- 4 1.10000+ 1 2.70000+ 1 3.22467- 3 2.11460- 4 1.10000+ 1 2.90000+ 1 3.68803- 3 2.40580- 4 1.10000+ 1 3.00000+ 1 2.97429- 3 2.50950- 4 1.10000+ 1 3.20000+ 1 1.75607- 4 2.88330- 4 1.10000+ 1 3.30000+ 1 3.99164- 4 2.89190- 4 1.10000+ 1 4.10000+ 1 2.76679- 4 2.88900- 4 1.30000+ 1 1.60000+ 1 5.43530- 2 1.02000- 4 1.30000+ 1 1.80000+ 1 5.45169- 2 1.98090- 4 1.30000+ 1 1.90000+ 1 5.96981- 2 2.67080- 4 1.30000+ 1 2.10000+ 1 2.17836- 2 4.26650- 4 1.30000+ 1 2.20000+ 1 2.55244- 2 4.39360- 4 1.30000+ 1 2.40000+ 1 1.32360- 1 6.41090- 4 1.30000+ 1 2.50000+ 1 2.01592- 1 6.43450- 4 1.30000+ 1 2.70000+ 1 9.50875- 3 6.01560- 4 1.30000+ 1 2.90000+ 1 6.93455- 3 6.30680- 4 1.30000+ 1 3.00000+ 1 8.10545- 3 6.41050- 4 1.30000+ 1 3.20000+ 1 5.14136- 4 6.78430- 4 1.30000+ 1 3.30000+ 1 6.04506- 4 6.79290- 4 1.30000+ 1 4.10000+ 1 8.55610- 4 6.79000- 4 1.40000+ 1 1.60000+ 1 8.92435- 3 1.66900- 4 1.40000+ 1 1.80000+ 1 6.21092- 2 2.62990- 4 1.40000+ 1 1.90000+ 1 5.57754- 3 3.31980- 4 1.40000+ 1 2.10000+ 1 9.89456- 4 4.91550- 4 1.40000+ 1 2.20000+ 1 3.02167- 3 5.04260- 4 1.40000+ 1 2.40000+ 1 4.69764- 3 7.05990- 4 1.40000+ 1 2.50000+ 1 3.48672- 3 7.08350- 4 1.40000+ 1 2.70000+ 1 1.04645- 3 6.66460- 4 1.40000+ 1 2.90000+ 1 6.31198- 3 6.95580- 4 1.40000+ 1 3.00000+ 1 6.88936- 4 7.05950- 4 1.40000+ 1 3.20000+ 1 1.46661- 5 7.43330- 4 1.40000+ 1 3.30000+ 1 6.24320- 5 7.44190- 4 1.40000+ 1 4.10000+ 1 8.99912- 5 7.43900- 4 1.60000+ 1 1.60000+ 1 8.62731- 4 1.39840- 3 1.60000+ 1 1.80000+ 1 1.21964- 2 1.49449- 3 1.60000+ 1 1.90000+ 1 1.79593- 3 1.56348- 3 1.60000+ 1 2.10000+ 1 3.93696- 4 1.72305- 3 1.60000+ 1 2.20000+ 1 1.41560- 3 1.73576- 3 1.60000+ 1 2.40000+ 1 4.79935- 5 1.93749- 3 1.60000+ 1 2.50000+ 1 8.87035- 4 1.93985- 3 1.60000+ 1 2.70000+ 1 2.37545- 4 1.89796- 3 1.60000+ 1 2.90000+ 1 1.19991- 3 1.92708- 3 1.60000+ 1 3.00000+ 1 2.29036- 4 1.93745- 3 1.60000+ 1 3.20000+ 1 7.29066- 6 1.97483- 3 1.60000+ 1 3.30000+ 1 2.91634- 5 1.97569- 3 1.60000+ 1 4.10000+ 1 2.06568- 5 1.97540- 3 1.80000+ 1 1.80000+ 1 9.23228- 3 1.59058- 3 1.80000+ 1 1.90000+ 1 2.66961- 2 1.65957- 3 1.80000+ 1 2.10000+ 1 2.58172- 2 1.81914- 3 1.80000+ 1 2.20000+ 1 4.16444- 2 1.83185- 3 1.80000+ 1 2.40000+ 1 1.27671- 2 2.03358- 3 1.80000+ 1 2.50000+ 1 2.17210- 2 2.03594- 3 1.80000+ 1 2.70000+ 1 2.13854- 3 1.99405- 3 1.80000+ 1 2.90000+ 1 2.30509- 3 2.02317- 3 1.80000+ 1 3.00000+ 1 3.73455- 3 2.03354- 3 1.80000+ 1 3.20000+ 1 6.06937- 4 2.07092- 3 1.80000+ 1 3.30000+ 1 9.13745- 4 2.07178- 3 1.80000+ 1 4.10000+ 1 1.93199- 4 2.07149- 3 1.90000+ 1 1.90000+ 1 7.34510- 4 1.72856- 3 1.90000+ 1 2.10000+ 1 1.91922- 3 1.88813- 3 1.90000+ 1 2.20000+ 1 1.59479- 3 1.90084- 3 1.90000+ 1 2.40000+ 1 9.04562- 3 2.10257- 3 1.90000+ 1 2.50000+ 1 2.51649- 3 2.10493- 3 1.90000+ 1 2.70000+ 1 2.08386- 4 2.06304- 3 1.90000+ 1 2.90000+ 1 2.68275- 3 2.09216- 3 1.90000+ 1 3.00000+ 1 1.74363- 4 2.10253- 3 1.90000+ 1 3.20000+ 1 3.76699- 5 2.13991- 3 1.90000+ 1 3.30000+ 1 3.15926- 5 2.14077- 3 1.90000+ 1 4.10000+ 1 1.76185- 5 2.14048- 3 2.10000+ 1 2.10000+ 1 8.65756- 4 2.04770- 3 2.10000+ 1 2.20000+ 1 2.38599- 3 2.06041- 3 2.10000+ 1 2.40000+ 1 1.06202- 3 2.26214- 3 2.10000+ 1 2.50000+ 1 1.94966- 3 2.26450- 3 2.10000+ 1 2.70000+ 1 6.37935- 5 2.22261- 3 2.10000+ 1 2.90000+ 1 2.53603- 3 2.25173- 3 2.10000+ 1 3.00000+ 1 2.36341- 4 2.26210- 3 2.10000+ 1 3.20000+ 1 3.46327- 5 2.29948- 3 2.10000+ 1 3.30000+ 1 4.92132- 5 2.30034- 3 2.10000+ 1 4.10000+ 1 5.46824- 6 2.30005- 3 2.20000+ 1 2.20000+ 1 5.71694- 4 2.07312- 3 2.20000+ 1 2.40000+ 1 3.33748- 3 2.27485- 3 2.20000+ 1 2.50000+ 1 7.27861- 4 2.27721- 3 2.20000+ 1 2.70000+ 1 1.98671- 4 2.23532- 3 2.20000+ 1 2.90000+ 1 4.14911- 3 2.26444- 3 2.20000+ 1 3.00000+ 1 1.76191- 4 2.27481- 3 2.20000+ 1 3.20000+ 1 4.86074- 5 2.31219- 3 2.20000+ 1 3.30000+ 1 2.18721- 5 2.31305- 3 2.20000+ 1 4.10000+ 1 1.76191- 5 2.31276- 3 2.40000+ 1 2.40000+ 1 2.68001- 3 2.47658- 3 2.40000+ 1 2.50000+ 1 1.73122- 2 2.47894- 3 2.40000+ 1 2.70000+ 1 3.03777- 6 2.43705- 3 2.40000+ 1 2.90000+ 1 1.15863- 3 2.46617- 3 2.40000+ 1 3.00000+ 1 1.19022- 3 2.47654- 3 2.40000+ 1 3.20000+ 1 2.73412- 5 2.51392- 3 2.40000+ 1 3.30000+ 1 7.95906- 5 2.51478- 3 2.50000+ 1 2.50000+ 1 9.05875- 4 2.48130- 3 2.50000+ 1 2.70000+ 1 1.31234- 4 2.43941- 3 2.50000+ 1 2.90000+ 1 1.95453- 3 2.46853- 3 2.50000+ 1 3.00000+ 1 2.98935- 4 2.47890- 3 2.50000+ 1 3.20000+ 1 4.61750- 5 2.51628- 3 2.50000+ 1 3.30000+ 1 1.64043- 5 2.51714- 3 2.50000+ 1 4.10000+ 1 1.15439- 5 2.51685- 3 2.70000+ 1 2.70000+ 1 2.02460- 5 2.39752- 3 2.70000+ 1 2.90000+ 1 2.60199- 4 2.42664- 3 2.70000+ 1 3.00000+ 1 3.29974- 5 2.43701- 3 2.70000+ 1 3.20000+ 1 1.49971- 6 2.47439- 3 2.70000+ 1 3.30000+ 1 5.24875- 6 2.47525- 3 2.70000+ 1 4.10000+ 1 3.74925- 6 2.47496- 3 2.90000+ 1 2.90000+ 1 2.41636- 4 2.45576- 3 2.90000+ 1 3.00000+ 1 6.66935- 4 2.46613- 3 2.90000+ 1 3.20000+ 1 1.05246- 4 2.50351- 3 2.90000+ 1 3.30000+ 1 1.61092- 4 2.50437- 3 2.90000+ 1 4.10000+ 1 3.32917- 5 2.50408- 3 3.00000+ 1 3.00000+ 1 4.53947- 5 2.47650- 3 3.00000+ 1 3.20000+ 1 2.13635- 5 2.51388- 3 3.00000+ 1 3.30000+ 1 1.60211- 5 2.51474- 3 3.00000+ 1 4.10000+ 1 1.06808- 5 2.51445- 3 3.20000+ 1 3.30000+ 1 1.21510- 6 2.55212- 3 3.30000+ 1 4.10000+ 1 6.07570- 7 2.55269- 3 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.67441- 5 3.90100- 4 1.40000+ 1 2.50336- 4 4.55000- 4 1.60000+ 1 1.02007- 3 1.68650- 3 2.10000+ 1 4.94185- 4 2.01115- 3 2.20000+ 1 3.88694- 3 2.02386- 3 2.70000+ 1 1.89647- 4 2.18606- 3 3.20000+ 1 1.48830- 5 2.26293- 3 3.30000+ 1 1.13560- 4 2.26379- 3 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.10000+ 1 1.04251- 2 1.30050- 4 1.30000+ 1 2.20000+ 1 1.02172- 2 1.42760- 4 1.30000+ 1 2.40000+ 1 1.54587- 2 3.44490- 4 1.30000+ 1 2.50000+ 1 2.25144- 2 3.46850- 4 1.30000+ 1 2.70000+ 1 2.19350- 3 3.04960- 4 1.30000+ 1 2.90000+ 1 1.67855- 3 3.34080- 4 1.30000+ 1 3.00000+ 1 5.97430- 3 3.44450- 4 1.30000+ 1 3.20000+ 1 2.09581- 4 3.81830- 4 1.30000+ 1 3.30000+ 1 1.97202- 4 3.82690- 4 1.30000+ 1 4.10000+ 1 1.93360- 4 3.82400- 4 1.40000+ 1 1.90000+ 1 1.23272- 1 3.53800- 5 1.40000+ 1 2.10000+ 1 4.68113- 2 1.94950- 4 1.40000+ 1 2.20000+ 1 6.52679- 2 2.07660- 4 1.40000+ 1 2.40000+ 1 1.56704- 1 4.09390- 4 1.40000+ 1 2.50000+ 1 1.88430- 1 4.11750- 4 1.40000+ 1 2.70000+ 1 1.29747- 2 3.69860- 4 1.40000+ 1 2.90000+ 1 1.14463- 2 3.98980- 4 1.40000+ 1 3.00000+ 1 1.53854- 2 4.09350- 4 1.40000+ 1 3.20000+ 1 9.41880- 4 4.46730- 4 1.40000+ 1 3.30000+ 1 1.29882- 3 4.47590- 4 1.40000+ 1 4.10000+ 1 1.15733- 3 4.47300- 4 1.60000+ 1 1.60000+ 1 5.40919- 4 1.10180- 3 1.60000+ 1 1.80000+ 1 9.05701- 4 1.19789- 3 1.60000+ 1 1.90000+ 1 1.48095- 2 1.26688- 3 1.60000+ 1 2.10000+ 1 8.72507- 4 1.42645- 3 1.60000+ 1 2.20000+ 1 9.88890- 4 1.43916- 3 1.60000+ 1 2.40000+ 1 1.31658- 3 1.64089- 3 1.60000+ 1 2.50000+ 1 2.15135- 3 1.64325- 3 1.60000+ 1 2.70000+ 1 1.47585- 4 1.60136- 3 1.60000+ 1 2.90000+ 1 1.04676- 4 1.63048- 3 1.60000+ 1 3.00000+ 1 1.42384- 3 1.64085- 3 1.60000+ 1 3.20000+ 1 1.88545- 5 1.67823- 3 1.60000+ 1 3.30000+ 1 1.95048- 5 1.67909- 3 1.60000+ 1 4.10000+ 1 1.30031- 5 1.67880- 3 1.80000+ 1 1.80000+ 1 7.73708- 5 1.29398- 3 1.80000+ 1 1.90000+ 1 1.78658- 2 1.36297- 3 1.80000+ 1 2.10000+ 1 3.99183- 4 1.52254- 3 1.80000+ 1 2.20000+ 1 3.49214- 3 1.53525- 3 1.80000+ 1 2.40000+ 1 1.45768- 3 1.73698- 3 1.80000+ 1 2.50000+ 1 8.28005- 3 1.73934- 3 1.80000+ 1 2.70000+ 1 1.11177- 4 1.69745- 3 1.80000+ 1 2.90000+ 1 1.62540- 5 1.72657- 3 1.80000+ 1 3.00000+ 1 1.74244- 3 1.73694- 3 1.80000+ 1 3.20000+ 1 8.45217- 6 1.77432- 3 1.80000+ 1 3.30000+ 1 6.56675- 5 1.77518- 3 1.80000+ 1 4.10000+ 1 9.75233- 6 1.77489- 3 1.90000+ 1 1.90000+ 1 2.43032- 2 1.43196- 3 1.90000+ 1 2.10000+ 1 3.43939- 2 1.59153- 3 1.90000+ 1 2.20000+ 1 4.53548- 2 1.60424- 3 1.90000+ 1 2.40000+ 1 2.44966- 2 1.80597- 3 1.90000+ 1 2.50000+ 1 2.79851- 2 1.80833- 3 1.90000+ 1 2.70000+ 1 2.54613- 3 1.76644- 3 1.90000+ 1 2.90000+ 1 2.58963- 3 1.79556- 3 1.90000+ 1 3.00000+ 1 5.74472- 3 1.80593- 3 1.90000+ 1 3.20000+ 1 7.88662- 4 1.84331- 3 1.90000+ 1 3.30000+ 1 9.87575- 4 1.84417- 3 1.90000+ 1 4.10000+ 1 2.29506- 4 1.84388- 3 2.10000+ 1 2.10000+ 1 2.21698- 4 1.75110- 3 2.10000+ 1 2.20000+ 1 4.94178- 3 1.76381- 3 2.10000+ 1 2.40000+ 1 6.16357- 4 1.96554- 3 2.10000+ 1 2.50000+ 1 7.42065- 3 1.96790- 3 2.10000+ 1 2.70000+ 1 9.49215- 5 1.92601- 3 2.10000+ 1 2.90000+ 1 2.92586- 5 1.95513- 3 2.10000+ 1 3.00000+ 1 3.31554- 3 1.96550- 3 2.10000+ 1 3.20000+ 1 8.45192- 6 2.00288- 3 2.10000+ 1 3.30000+ 1 9.75203- 5 2.00374- 3 2.10000+ 1 4.10000+ 1 7.80187- 6 2.00345- 3 2.20000+ 1 2.20000+ 1 2.26129- 3 1.77652- 3 2.20000+ 1 2.40000+ 1 6.00684- 3 1.97825- 3 2.20000+ 1 2.50000+ 1 5.11620- 3 1.98061- 3 2.20000+ 1 2.70000+ 1 1.09226- 4 1.93872- 3 2.20000+ 1 2.90000+ 1 2.99073- 4 1.96784- 3 2.20000+ 1 3.00000+ 1 4.32544- 3 1.97821- 3 2.20000+ 1 3.20000+ 1 1.02726- 4 2.01559- 3 2.20000+ 1 3.30000+ 1 8.90738- 5 2.01645- 3 2.20000+ 1 4.10000+ 1 9.10222- 6 2.01616- 3 2.40000+ 1 2.40000+ 1 7.92541- 4 2.17998- 3 2.40000+ 1 2.50000+ 1 2.13124- 2 2.18234- 3 2.40000+ 1 2.70000+ 1 1.34583- 4 2.14045- 3 2.40000+ 1 2.90000+ 1 1.78146- 4 2.16957- 3 2.40000+ 1 3.00000+ 1 2.25282- 3 2.17994- 3 2.40000+ 1 3.20000+ 1 1.62540- 5 2.21732- 3 2.40000+ 1 3.30000+ 1 1.25482- 4 2.21818- 3 2.40000+ 1 4.10000+ 1 1.17028- 5 2.21789- 3 2.50000+ 1 2.50000+ 1 8.33161- 3 2.18470- 3 2.50000+ 1 2.70000+ 1 1.81385- 4 2.14281- 3 2.50000+ 1 2.90000+ 1 1.01224- 3 2.17193- 3 2.50000+ 1 3.00000+ 1 2.65433- 3 2.18230- 3 2.50000+ 1 3.20000+ 1 1.69682- 4 2.21968- 3 2.50000+ 1 3.30000+ 1 1.13774- 4 2.22054- 3 2.50000+ 1 4.10000+ 1 1.49531- 5 2.22025- 3 2.70000+ 1 2.70000+ 1 1.56378- 5 2.10092- 3 2.70000+ 1 2.90000+ 1 1.95470- 5 2.13004- 3 2.70000+ 1 3.00000+ 1 3.68468- 4 2.14041- 3 2.70000+ 1 3.20000+ 1 2.93208- 6 2.17779- 3 2.70000+ 1 3.30000+ 1 2.93208- 6 2.17865- 3 2.70000+ 1 4.10000+ 1 2.93208- 6 2.17836- 3 2.90000+ 1 2.90000+ 1 1.07887- 6 2.15916- 3 2.90000+ 1 3.00000+ 1 4.20774- 4 2.16953- 3 2.90000+ 1 3.20000+ 1 1.07887- 6 2.20691- 3 2.90000+ 1 3.30000+ 1 9.70999- 6 2.20777- 3 2.90000+ 1 4.10000+ 1 2.15770- 6 2.20748- 3 3.00000+ 1 3.00000+ 1 1.12088- 3 2.17990- 3 3.00000+ 1 3.20000+ 1 2.60215- 4 2.21728- 3 3.00000+ 1 3.30000+ 1 3.22485- 4 2.21814- 3 3.00000+ 1 4.10000+ 1 7.56168- 5 2.21785- 3 3.20000+ 1 3.30000+ 1 1.95050- 6 2.25552- 3 3.30000+ 1 3.30000+ 1 6.50169- 7 2.25638- 3 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.18769- 3 1.39249- 3 1.90000+ 1 2.27399- 4 1.46148- 3 2.40000+ 1 1.69359- 2 1.83549- 3 2.90000+ 1 5.10618- 4 1.82508- 3 3.00000+ 1 5.38308- 5 1.83545- 3 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 9.70773- 2 1.92900- 5 1.40000+ 1 2.50000+ 1 1.41554- 2 2.16500- 5 1.40000+ 1 2.90000+ 1 5.86056- 4 8.88000- 6 1.40000+ 1 3.00000+ 1 1.78989- 3 1.92500- 5 1.40000+ 1 3.20000+ 1 3.05377- 3 5.66300- 5 1.40000+ 1 3.30000+ 1 4.07992- 4 5.74900- 5 1.40000+ 1 4.10000+ 1 1.49159- 4 5.72000- 5 1.60000+ 1 1.60000+ 1 3.66219- 5 7.11700- 4 1.60000+ 1 1.80000+ 1 1.62598- 3 8.07790- 4 1.60000+ 1 1.90000+ 1 1.14845- 3 8.76780- 4 1.60000+ 1 2.10000+ 1 4.16272- 2 1.03635- 3 1.60000+ 1 2.20000+ 1 4.88968- 3 1.04906- 3 1.60000+ 1 2.40000+ 1 1.45742- 2 1.25079- 3 1.60000+ 1 2.50000+ 1 4.42681- 3 1.25315- 3 1.60000+ 1 2.70000+ 1 2.05079- 5 1.21126- 3 1.60000+ 1 2.90000+ 1 1.88967- 4 1.24038- 3 1.60000+ 1 3.00000+ 1 1.09863- 4 1.25075- 3 1.60000+ 1 3.20000+ 1 7.29499- 4 1.28813- 3 1.60000+ 1 3.30000+ 1 8.34960- 5 1.28899- 3 1.60000+ 1 4.10000+ 1 1.46484- 6 1.28870- 3 1.80000+ 1 1.80000+ 1 9.55087- 4 9.03880- 4 1.80000+ 1 1.90000+ 1 5.98424- 3 9.72870- 4 1.80000+ 1 2.10000+ 1 3.66364- 2 1.13244- 3 1.80000+ 1 2.20000+ 1 2.84773- 3 1.14515- 3 1.80000+ 1 2.40000+ 1 9.16005- 3 1.34688- 3 1.80000+ 1 2.50000+ 1 4.58508- 3 1.34924- 3 1.80000+ 1 2.70000+ 1 1.91900- 4 1.30735- 3 1.80000+ 1 2.90000+ 1 2.24126- 4 1.33647- 3 1.80000+ 1 3.00000+ 1 6.35738- 4 1.34684- 3 1.80000+ 1 3.20000+ 1 6.38693- 4 1.38422- 3 1.80000+ 1 3.30000+ 1 5.56657- 5 1.38508- 3 1.80000+ 1 4.10000+ 1 1.61131- 5 1.38479- 3 1.90000+ 1 1.90000+ 1 2.13879- 3 1.04186- 3 1.90000+ 1 2.10000+ 1 7.56856- 2 1.20143- 3 1.90000+ 1 2.20000+ 1 2.84768- 3 1.21414- 3 1.90000+ 1 2.40000+ 1 4.26126- 3 1.41587- 3 1.90000+ 1 2.50000+ 1 2.41111- 3 1.41823- 3 1.90000+ 1 2.70000+ 1 1.53799- 4 1.37634- 3 1.90000+ 1 2.90000+ 1 5.88887- 4 1.40546- 3 1.90000+ 1 3.00000+ 1 4.36531- 4 1.41583- 3 1.90000+ 1 3.20000+ 1 1.33005- 3 1.45321- 3 1.90000+ 1 3.30000+ 1 4.98054- 5 1.45407- 3 1.90000+ 1 4.10000+ 1 1.31838- 5 1.45378- 3 2.10000+ 1 2.10000+ 1 6.56889- 2 1.36100- 3 2.10000+ 1 2.20000+ 1 1.31655- 1 1.37371- 3 2.10000+ 1 2.40000+ 1 5.76890- 2 1.57544- 3 2.10000+ 1 2.50000+ 1 7.13135- 2 1.57780- 3 2.10000+ 1 2.70000+ 1 6.63879- 3 1.53591- 3 2.10000+ 1 2.90000+ 1 5.34384- 3 1.56503- 3 2.10000+ 1 3.00000+ 1 1.03168- 2 1.57540- 3 2.10000+ 1 3.20000+ 1 2.67333- 3 1.61278- 3 2.10000+ 1 3.30000+ 1 2.83459- 3 1.61364- 3 2.10000+ 1 4.10000+ 1 5.94758- 4 1.61335- 3 2.20000+ 1 2.20000+ 1 2.13284- 3 1.38642- 3 2.20000+ 1 2.40000+ 1 6.20921- 2 1.58815- 3 2.20000+ 1 2.50000+ 1 3.31634- 3 1.59051- 3 2.20000+ 1 2.70000+ 1 4.42385- 4 1.54862- 3 2.20000+ 1 2.90000+ 1 2.73932- 4 1.57774- 3 2.20000+ 1 3.00000+ 1 3.19341- 4 1.58811- 3 2.20000+ 1 3.20000+ 1 2.32759- 3 1.62549- 3 2.20000+ 1 3.30000+ 1 7.76381- 5 1.62635- 3 2.20000+ 1 4.10000+ 1 3.66220- 5 1.62606- 3 2.40000+ 1 2.40000+ 1 5.12820- 2 1.78988- 3 2.40000+ 1 2.50000+ 1 1.48979- 1 1.79224- 3 2.40000+ 1 2.70000+ 1 2.40811- 3 1.75035- 3 2.40000+ 1 2.90000+ 1 1.11472- 3 1.77947- 3 2.40000+ 1 3.00000+ 1 5.81560- 4 1.78984- 3 2.40000+ 1 3.20000+ 1 1.07079- 3 1.82722- 3 2.40000+ 1 3.30000+ 1 1.28611- 3 1.82808- 3 2.40000+ 1 4.10000+ 1 2.16803- 4 1.82779- 3 2.50000+ 1 2.50000+ 1 3.49692- 3 1.79460- 3 2.50000+ 1 2.70000+ 1 5.87406- 4 1.75271- 3 2.50000+ 1 2.90000+ 1 3.54729- 4 1.78183- 3 2.50000+ 1 3.00000+ 1 3.33578- 4 1.79220- 3 2.50000+ 1 3.20000+ 1 1.30990- 3 1.82958- 3 2.50000+ 1 3.30000+ 1 7.15977- 5 1.83044- 3 2.50000+ 1 4.10000+ 1 5.04435- 5 1.83015- 3 2.70000+ 1 2.70000+ 1 4.56669- 6 1.71082- 3 2.70000+ 1 2.90000+ 1 7.30676- 5 1.73994- 3 2.70000+ 1 3.00000+ 1 4.56669- 5 1.75031- 3 2.70000+ 1 3.20000+ 1 3.65347- 4 1.78769- 3 2.70000+ 1 3.30000+ 1 2.73999- 5 1.78855- 3 2.90000+ 1 2.90000+ 1 5.85911- 5 1.76906- 3 2.90000+ 1 3.00000+ 1 2.92956- 4 1.77943- 3 2.90000+ 1 3.20000+ 1 4.16650- 4 1.81681- 3 2.90000+ 1 3.30000+ 1 2.60397- 5 1.81767- 3 2.90000+ 1 4.10000+ 1 6.51002- 6 1.81738- 3 3.00000+ 1 3.00000+ 1 1.38275- 4 1.78980- 3 3.00000+ 1 3.20000+ 1 1.07161- 3 1.82718- 3 3.00000+ 1 3.30000+ 1 3.45678- 5 1.82804- 3 3.00000+ 1 4.10000+ 1 8.64208- 6 1.82775- 3 3.20000+ 1 3.20000+ 1 1.31840- 5 1.86456- 3 3.20000+ 1 3.30000+ 1 4.98059- 5 1.86542- 3 3.20000+ 1 4.10000+ 1 1.02539- 5 1.86513- 3 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.92510- 3 1.39658- 3 2.40000+ 1 9.16648- 4 1.77059- 3 2.50000+ 1 1.78440- 2 1.77295- 3 3.00000+ 1 5.18729- 4 1.77055- 3 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 3.19517- 6 6.46800- 4 1.60000+ 1 1.80000+ 1 3.73837- 4 7.42890- 4 1.60000+ 1 1.90000+ 1 2.87402- 3 8.11880- 4 1.60000+ 1 2.10000+ 1 4.38706- 3 9.71450- 4 1.60000+ 1 2.20000+ 1 4.87342- 2 9.84160- 4 1.60000+ 1 2.40000+ 1 4.81519- 3 1.18589- 3 1.60000+ 1 2.50000+ 1 1.68353- 2 1.18825- 3 1.60000+ 1 2.70000+ 1 1.43785- 5 1.14636- 3 1.60000+ 1 2.90000+ 1 2.07687- 5 1.17548- 3 1.60000+ 1 3.00000+ 1 2.89167- 4 1.18585- 3 1.60000+ 1 3.20000+ 1 7.50865- 5 1.22323- 3 1.60000+ 1 3.30000+ 1 8.09990- 4 1.22409- 3 1.60000+ 1 4.10000+ 1 1.59759- 6 1.22380- 3 1.80000+ 1 1.80000+ 1 4.79271- 6 8.38980- 4 1.80000+ 1 1.90000+ 1 7.31543- 3 9.07970- 4 1.80000+ 1 2.10000+ 1 3.88211- 4 1.06754- 3 1.80000+ 1 2.20000+ 1 4.97308- 2 1.08025- 3 1.80000+ 1 2.40000+ 1 2.28294- 3 1.28198- 3 1.80000+ 1 2.50000+ 1 8.53893- 3 1.28434- 3 1.80000+ 1 2.70000+ 1 4.31344- 5 1.24245- 3 1.80000+ 1 2.90000+ 1 3.19514- 6 1.27157- 3 1.80000+ 1 3.00000+ 1 7.28483- 4 1.28194- 3 1.80000+ 1 3.20000+ 1 3.19514- 6 1.31932- 3 1.80000+ 1 3.30000+ 1 8.27541- 4 1.32018- 3 1.80000+ 1 4.10000+ 1 3.19514- 6 1.31989- 3 1.90000+ 1 1.90000+ 1 5.31994- 3 9.76960- 4 1.90000+ 1 2.10000+ 1 4.65212- 3 1.13653- 3 1.90000+ 1 2.20000+ 1 7.69591- 2 1.14924- 3 1.90000+ 1 2.40000+ 1 2.87399- 3 1.35097- 3 1.90000+ 1 2.50000+ 1 6.14590- 3 1.35333- 3 1.90000+ 1 2.70000+ 1 3.89815- 4 1.31144- 3 1.90000+ 1 2.90000+ 1 7.02947- 4 1.34056- 3 1.90000+ 1 3.00000+ 1 1.09277- 3 1.35093- 3 1.90000+ 1 3.20000+ 1 9.42549- 5 1.38831- 3 1.90000+ 1 3.30000+ 1 1.27643- 3 1.38917- 3 1.90000+ 1 4.10000+ 1 3.35487- 5 1.38888- 3 2.10000+ 1 2.10000+ 1 1.00003- 3 1.29610- 3 2.10000+ 1 2.20000+ 1 1.02945- 1 1.30881- 3 2.10000+ 1 2.40000+ 1 3.06412- 3 1.51054- 3 2.10000+ 1 2.50000+ 1 4.14461- 2 1.51290- 3 2.10000+ 1 2.70000+ 1 3.81818- 4 1.47101- 3 2.10000+ 1 2.90000+ 1 6.07070- 5 1.50013- 3 2.10000+ 1 3.00000+ 1 4.74473- 4 1.51050- 3 2.10000+ 1 3.20000+ 1 3.83423- 5 1.54788- 3 2.10000+ 1 3.30000+ 1 1.72708- 3 1.54874- 3 2.10000+ 1 4.10000+ 1 3.19512- 5 1.54845- 3 2.20000+ 1 2.20000+ 1 1.16057- 1 1.32152- 3 2.20000+ 1 2.40000+ 1 6.84925- 2 1.52325- 3 2.20000+ 1 2.50000+ 1 1.06396- 1 1.52561- 3 2.20000+ 1 2.70000+ 1 7.50692- 3 1.48372- 3 2.20000+ 1 2.90000+ 1 6.97488- 3 1.51284- 3 2.20000+ 1 3.00000+ 1 1.05698- 2 1.52321- 3 2.20000+ 1 3.20000+ 1 2.33409- 3 1.56059- 3 2.20000+ 1 3.30000+ 1 4.44766- 3 1.56145- 3 2.20000+ 1 4.10000+ 1 6.70957- 4 1.56116- 3 2.40000+ 1 2.40000+ 1 4.43172- 3 1.72498- 3 2.40000+ 1 2.50000+ 1 1.41762- 1 1.72734- 3 2.40000+ 1 2.70000+ 1 6.13479- 4 1.68545- 3 2.40000+ 1 2.90000+ 1 2.98749- 4 1.71457- 3 2.40000+ 1 3.00000+ 1 3.17922- 4 1.72494- 3 2.40000+ 1 3.20000+ 1 6.70960- 5 1.76232- 3 2.40000+ 1 3.30000+ 1 1.09597- 3 1.76318- 3 2.40000+ 1 4.10000+ 1 5.27203- 5 1.76289- 3 2.50000+ 1 2.50000+ 1 9.66685- 2 1.72970- 3 2.50000+ 1 2.70000+ 1 2.70010- 3 1.68781- 3 2.50000+ 1 2.90000+ 1 1.19983- 3 1.71693- 3 2.50000+ 1 3.00000+ 1 7.89257- 4 1.72730- 3 2.50000+ 1 3.20000+ 1 8.93117- 4 1.76468- 3 2.50000+ 1 3.30000+ 1 1.90608- 3 1.76554- 3 2.50000+ 1 4.10000+ 1 2.42847- 4 1.76525- 3 2.70000+ 1 2.70000+ 1 6.12961- 6 1.64592- 3 2.70000+ 1 2.90000+ 1 6.12961- 6 1.67504- 3 2.70000+ 1 3.00000+ 1 1.59370- 4 1.68541- 3 2.70000+ 1 3.20000+ 1 3.06472- 5 1.72279- 3 2.70000+ 1 3.30000+ 1 4.84232- 4 1.72365- 3 2.90000+ 1 3.00000+ 1 2.45277- 4 1.71453- 3 2.90000+ 1 3.30000+ 1 3.89251- 4 1.75277- 3 3.00000+ 1 3.00000+ 1 2.55276- 4 1.72490- 3 3.00000+ 1 3.20000+ 1 4.25450- 5 1.76228- 3 3.00000+ 1 3.30000+ 1 7.79994- 4 1.76314- 3 3.00000+ 1 4.10000+ 1 1.41819- 5 1.76285- 3 3.20000+ 1 3.30000+ 1 3.99399- 5 1.80052- 3 3.30000+ 1 3.30000+ 1 2.87560- 5 1.80138- 3 3.30000+ 1 4.10000+ 1 1.11829- 5 1.80109- 3 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.87541- 5 9.60900- 5 1.90000+ 1 1.98477- 4 1.65080- 4 2.90000+ 1 1.10697- 4 5.28680- 4 3.00000+ 1 5.96477- 5 5.39050- 4 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 1.60237- 2 5.04800- 5 1.80000+ 1 2.50000+ 1 1.62241- 2 5.28400- 5 1.80000+ 1 2.70000+ 1 3.48891- 2 1.09500- 5 1.80000+ 1 2.90000+ 1 3.14315- 2 4.00700- 5 1.80000+ 1 3.00000+ 1 5.73677- 2 5.04400- 5 1.80000+ 1 3.20000+ 1 8.67988- 3 8.78200- 5 1.80000+ 1 3.30000+ 1 1.47394- 2 8.86800- 5 1.80000+ 1 4.10000+ 1 3.15784- 3 8.83900- 5 1.90000+ 1 2.40000+ 1 1.23752- 1 1.19470- 4 1.90000+ 1 2.50000+ 1 1.54295- 1 1.21830- 4 1.90000+ 1 2.70000+ 1 4.13162- 2 7.99400- 5 1.90000+ 1 2.90000+ 1 4.50690- 2 1.09060- 4 1.90000+ 1 3.00000+ 1 5.18869- 2 1.19430- 4 1.90000+ 1 3.20000+ 1 1.12707- 2 1.56810- 4 1.90000+ 1 3.30000+ 1 1.31893- 2 1.57670- 4 1.90000+ 1 4.10000+ 1 3.63957- 3 1.57380- 4 2.10000+ 1 2.10000+ 1 3.80921- 3 6.46000- 5 2.10000+ 1 2.20000+ 1 1.06753- 2 7.73100- 5 2.10000+ 1 2.40000+ 1 4.77721- 3 2.79040- 4 2.10000+ 1 2.50000+ 1 1.04523- 2 2.81400- 4 2.10000+ 1 2.70000+ 1 1.50441- 2 2.39510- 4 2.10000+ 1 2.90000+ 1 3.67336- 3 2.68630- 4 2.10000+ 1 3.00000+ 1 7.81982- 3 2.79000- 4 2.10000+ 1 3.20000+ 1 3.52116- 4 3.16380- 4 2.10000+ 1 3.30000+ 1 3.12512- 4 3.17240- 4 2.10000+ 1 4.10000+ 1 1.07411- 3 3.16950- 4 2.20000+ 1 2.20000+ 1 7.36587- 3 9.00200- 5 2.20000+ 1 2.40000+ 1 1.18657- 2 2.91750- 4 2.20000+ 1 2.50000+ 1 1.07750- 2 2.94110- 4 2.20000+ 1 2.70000+ 1 2.13554- 2 2.52220- 4 2.20000+ 1 2.90000+ 1 8.31191- 3 2.81340- 4 2.20000+ 1 3.00000+ 1 7.62739- 3 2.91710- 4 2.20000+ 1 3.20000+ 1 2.90564- 4 3.29090- 4 2.20000+ 1 3.30000+ 1 5.02891- 4 3.29950- 4 2.20000+ 1 4.10000+ 1 1.51850- 3 3.29660- 4 2.40000+ 1 2.40000+ 1 6.73724- 3 4.93480- 4 2.40000+ 1 2.50000+ 1 1.46967- 2 4.95840- 4 2.40000+ 1 2.70000+ 1 1.55837- 2 4.53950- 4 2.40000+ 1 2.90000+ 1 1.93879- 3 4.83070- 4 2.40000+ 1 3.00000+ 1 5.55966- 3 4.93440- 4 2.40000+ 1 3.20000+ 1 1.35918- 4 5.30820- 4 2.40000+ 1 3.30000+ 1 9.42042- 5 5.31680- 4 2.40000+ 1 4.10000+ 1 1.01255- 3 5.31390- 4 2.50000+ 1 2.50000+ 1 1.12399- 2 4.98200- 4 2.50000+ 1 2.70000+ 1 2.02224- 2 4.56310- 4 2.50000+ 1 2.90000+ 1 1.12364- 3 4.85430- 4 2.50000+ 1 3.00000+ 1 6.75902- 3 4.95800- 4 2.50000+ 1 3.20000+ 1 8.57543- 5 5.33180- 4 2.50000+ 1 3.30000+ 1 1.99500- 4 5.34040- 4 2.50000+ 1 4.10000+ 1 1.31158- 3 5.33750- 4 2.70000+ 1 2.70000+ 1 2.09225- 2 4.14420- 4 2.70000+ 1 2.90000+ 1 2.70743- 2 4.43540- 4 2.70000+ 1 3.00000+ 1 4.44574- 2 4.53910- 4 2.70000+ 1 3.20000+ 1 8.20999- 3 4.91290- 4 2.70000+ 1 3.30000+ 1 1.10380- 2 4.92150- 4 2.70000+ 1 4.10000+ 1 3.29983- 3 4.91860- 4 2.90000+ 1 2.90000+ 1 3.30190- 3 4.72660- 4 2.90000+ 1 3.00000+ 1 1.36719- 2 4.83030- 4 2.90000+ 1 3.20000+ 1 1.15969- 3 5.20410- 4 2.90000+ 1 3.30000+ 1 1.16577- 3 5.21270- 4 2.90000+ 1 4.10000+ 1 2.77712- 3 5.20980- 4 3.00000+ 1 3.00000+ 1 1.04366- 2 4.93400- 4 3.00000+ 1 3.20000+ 1 1.53903- 3 5.30780- 4 3.00000+ 1 3.30000+ 1 2.33038- 3 5.31640- 4 3.00000+ 1 4.10000+ 1 4.72929- 3 5.31350- 4 3.20000+ 1 3.20000+ 1 3.03392- 5 5.68160- 4 3.20000+ 1 3.30000+ 1 1.88105- 4 5.69020- 4 3.20000+ 1 4.10000+ 1 8.37375- 4 5.68730- 4 3.30000+ 1 3.30000+ 1 7.88878- 5 5.69880- 4 3.30000+ 1 4.10000+ 1 1.12873- 3 5.69590- 4 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 6.79719- 4 2.28560- 4 2.70000+ 1 1.50163- 4 4.03470- 4 3.20000+ 1 3.54341- 6 4.80340- 4 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 4.52390- 2 2.33800- 5 1.90000+ 1 2.50000+ 1 3.76642- 2 2.57400- 5 1.90000+ 1 2.90000+ 1 1.08643- 2 1.29700- 5 1.90000+ 1 3.00000+ 1 1.12528- 2 2.33400- 5 1.90000+ 1 3.20000+ 1 1.44659- 3 6.07200- 5 1.90000+ 1 3.30000+ 1 2.15795- 3 6.15800- 5 1.90000+ 1 4.10000+ 1 1.20262- 3 6.12900- 5 2.10000+ 1 2.40000+ 1 1.55812- 1 1.82950- 4 2.10000+ 1 2.50000+ 1 3.33464- 1 1.85310- 4 2.10000+ 1 2.70000+ 1 3.54604- 2 1.43420- 4 2.10000+ 1 2.90000+ 1 2.61744- 2 1.72540- 4 2.10000+ 1 3.00000+ 1 4.14370- 2 1.82910- 4 2.10000+ 1 3.20000+ 1 5.07322- 3 2.20290- 4 2.10000+ 1 3.30000+ 1 8.93106- 3 2.21150- 4 2.10000+ 1 4.10000+ 1 3.17478- 3 2.20860- 4 2.20000+ 1 2.20000+ 1 1.39891- 3 0.00000+ 0 2.20000+ 1 2.40000+ 1 4.30235- 2 1.95660- 4 2.20000+ 1 2.50000+ 1 1.11046- 2 1.98020- 4 2.20000+ 1 2.70000+ 1 5.77775- 3 1.56130- 4 2.20000+ 1 2.90000+ 1 2.37958- 2 1.85250- 4 2.20000+ 1 3.00000+ 1 4.93757- 3 1.95620- 4 2.20000+ 1 3.20000+ 1 8.11382- 4 2.33000- 4 2.20000+ 1 3.30000+ 1 5.13838- 4 2.33860- 4 2.20000+ 1 4.10000+ 1 4.34550- 4 2.33570- 4 2.40000+ 1 2.40000+ 1 3.06400- 3 3.97390- 4 2.40000+ 1 2.50000+ 1 2.10300- 2 3.99750- 4 2.40000+ 1 2.70000+ 1 3.83923- 3 3.57860- 4 2.40000+ 1 2.90000+ 1 1.60586- 2 3.86980- 4 2.40000+ 1 3.00000+ 1 3.88012- 3 3.97350- 4 2.40000+ 1 3.20000+ 1 9.63615- 4 4.34730- 4 2.40000+ 1 3.30000+ 1 3.62972- 4 4.35590- 4 2.40000+ 1 4.10000+ 1 3.41303- 4 4.35300- 4 2.50000+ 1 2.50000+ 1 1.16833- 3 4.02110- 4 2.50000+ 1 2.70000+ 1 2.97271- 3 3.60220- 4 2.50000+ 1 2.90000+ 1 3.57684- 2 3.89340- 4 2.50000+ 1 3.00000+ 1 2.30289- 3 3.99710- 4 2.50000+ 1 3.20000+ 1 2.62567- 3 4.37090- 4 2.50000+ 1 3.30000+ 1 1.84518- 4 4.37950- 4 2.50000+ 1 4.10000+ 1 2.19475- 4 4.37660- 4 2.70000+ 1 2.70000+ 1 5.97376- 4 3.18330- 4 2.70000+ 1 2.90000+ 1 8.75009- 3 3.47450- 4 2.70000+ 1 3.00000+ 1 1.51509- 3 3.57820- 4 2.70000+ 1 3.20000+ 1 5.07262- 4 3.95200- 4 2.70000+ 1 3.30000+ 1 3.15927- 4 3.96060- 4 2.70000+ 1 4.10000+ 1 8.89964- 5 3.95770- 4 2.90000+ 1 2.90000+ 1 1.54654- 2 3.76570- 4 2.90000+ 1 3.00000+ 1 4.19903- 2 3.86940- 4 2.90000+ 1 3.20000+ 1 6.34949- 3 4.24320- 4 2.90000+ 1 3.30000+ 1 1.04181- 2 4.25180- 4 2.90000+ 1 4.10000+ 1 2.37605- 3 4.24890- 4 3.00000+ 1 3.00000+ 1 1.83877- 3 3.97310- 4 3.00000+ 1 3.20000+ 1 1.99811- 3 4.34690- 4 3.00000+ 1 3.30000+ 1 6.33913- 4 4.35550- 4 3.00000+ 1 4.10000+ 1 3.59592- 4 4.35260- 4 3.20000+ 1 3.20000+ 1 3.15705- 6 4.72070- 4 3.20000+ 1 3.30000+ 1 1.33296- 5 4.72930- 4 3.20000+ 1 4.10000+ 1 7.19082- 6 4.72640- 4 3.30000+ 1 3.30000+ 1 1.05239- 6 4.73790- 4 3.30000+ 1 4.10000+ 1 3.50791- 6 4.73500- 4 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.57095- 5 1.59570- 4 2.20000+ 1 1.78740- 4 1.72280- 4 2.70000+ 1 1.07774- 4 3.34480- 4 3.20000+ 1 1.04331- 6 4.11350- 4 3.30000+ 1 5.77166- 6 4.12210- 4 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.58170- 2 1.13960- 4 2.10000+ 1 2.50000+ 1 4.48269- 2 1.16320- 4 2.10000+ 1 2.70000+ 1 1.27399- 2 7.44300- 5 2.10000+ 1 2.90000+ 1 9.95129- 3 1.03550- 4 2.10000+ 1 3.00000+ 1 3.46333- 2 1.13920- 4 2.10000+ 1 3.20000+ 1 1.96465- 3 1.51300- 4 2.10000+ 1 3.30000+ 1 3.85954- 3 1.52160- 4 2.10000+ 1 4.10000+ 1 1.09629- 3 1.51870- 4 2.20000+ 1 2.40000+ 1 2.15291- 1 1.26670- 4 2.20000+ 1 2.50000+ 1 2.32669- 1 1.29030- 4 2.20000+ 1 2.70000+ 1 6.49336- 2 8.71400- 5 2.20000+ 1 2.90000+ 1 6.65870- 2 1.16260- 4 2.20000+ 1 3.00000+ 1 8.99285- 2 1.26630- 4 2.20000+ 1 3.20000+ 1 1.63522- 2 1.64010- 4 2.20000+ 1 3.30000+ 1 1.80625- 2 1.64870- 4 2.20000+ 1 4.10000+ 1 5.91012- 3 1.64580- 4 2.40000+ 1 2.40000+ 1 7.87096- 4 3.28400- 4 2.40000+ 1 2.50000+ 1 2.10257- 2 3.30760- 4 2.40000+ 1 2.70000+ 1 5.13753- 3 2.88870- 4 2.40000+ 1 2.90000+ 1 2.38315- 3 3.17990- 4 2.40000+ 1 3.00000+ 1 3.32601- 2 3.28360- 4 2.40000+ 1 3.20000+ 1 2.13135- 4 3.65740- 4 2.40000+ 1 3.30000+ 1 1.23547- 3 3.66600- 4 2.40000+ 1 4.10000+ 1 3.42195- 4 3.66310- 4 2.50000+ 1 2.50000+ 1 8.81783- 3 3.33120- 4 2.50000+ 1 2.70000+ 1 1.08997- 2 2.91230- 4 2.50000+ 1 2.90000+ 1 9.02275- 3 3.20350- 4 2.50000+ 1 3.00000+ 1 4.03470- 2 3.30720- 4 2.50000+ 1 3.20000+ 1 2.38330- 4 3.68100- 4 2.50000+ 1 3.30000+ 1 1.49914- 3 3.68960- 4 2.50000+ 1 4.10000+ 1 8.17645- 4 3.68670- 4 2.70000+ 1 2.70000+ 1 5.97196- 6 2.49340- 4 2.70000+ 1 2.90000+ 1 2.98583- 4 2.78460- 4 2.70000+ 1 3.00000+ 1 5.91067- 3 2.88830- 4 2.70000+ 1 3.20000+ 1 1.33371- 4 3.26210- 4 2.70000+ 1 3.30000+ 1 2.56790- 4 3.27070- 4 2.70000+ 1 4.10000+ 1 2.65407- 6 3.26780- 4 2.90000+ 1 2.90000+ 1 2.10032- 5 3.07580- 4 2.90000+ 1 3.00000+ 1 4.56216- 3 3.17950- 4 2.90000+ 1 3.20000+ 1 5.53325- 5 3.55330- 4 2.90000+ 1 3.30000+ 1 1.97233- 4 3.56190- 4 2.90000+ 1 4.10000+ 1 1.79308- 5 3.55900- 4 3.00000+ 1 3.00000+ 1 1.09900- 2 3.28320- 4 3.00000+ 1 3.20000+ 1 2.51369- 3 3.65700- 4 3.00000+ 1 3.30000+ 1 3.24659- 3 3.66560- 4 3.00000+ 1 4.10000+ 1 7.79535- 4 3.66270- 4 3.20000+ 1 3.20000+ 1 1.60014- 6 4.03080- 4 3.20000+ 1 3.30000+ 1 2.21359- 5 4.03940- 4 3.20000+ 1 4.10000+ 1 3.73375- 6 4.03650- 4 3.30000+ 1 3.30000+ 1 1.33344- 5 4.04800- 4 3.30000+ 1 4.10000+ 1 9.06743- 6 4.04510- 4 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.00610- 4 2.14440- 4 2.90000+ 1 2.44321- 5 2.04030- 4 3.00000+ 1 3.52741- 6 2.14400- 4 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.20000+ 1 1.46363- 2 4.44000- 6 2.20000+ 1 3.30000+ 1 2.20545- 3 5.30000- 6 2.20000+ 1 4.10000+ 1 5.03327- 4 5.01000- 6 2.40000+ 1 2.40000+ 1 1.65999- 1 1.68830- 4 2.40000+ 1 2.50000+ 1 5.19510- 1 1.71190- 4 2.40000+ 1 2.70000+ 1 6.16832- 2 1.29300- 4 2.40000+ 1 2.90000+ 1 5.03437- 2 1.58420- 4 2.40000+ 1 3.00000+ 1 7.40773- 2 1.68790- 4 2.40000+ 1 3.20000+ 1 1.76815- 2 2.06170- 4 2.40000+ 1 3.30000+ 1 1.71547- 2 2.07030- 4 2.40000+ 1 4.10000+ 1 5.63219- 3 2.06740- 4 2.50000+ 1 2.50000+ 1 6.20507- 3 1.73550- 4 2.50000+ 1 2.70000+ 1 6.21421- 3 1.31660- 4 2.50000+ 1 2.90000+ 1 1.42560- 2 1.60780- 4 2.50000+ 1 3.00000+ 1 5.19553- 3 1.71150- 4 2.50000+ 1 3.20000+ 1 2.01167- 2 2.08530- 4 2.50000+ 1 3.30000+ 1 7.38929- 4 2.09390- 4 2.50000+ 1 4.10000+ 1 4.64649- 4 2.09100- 4 2.70000+ 1 2.70000+ 1 1.10136- 3 8.97700- 5 2.70000+ 1 2.90000+ 1 1.54843- 3 1.18890- 4 2.70000+ 1 3.00000+ 1 1.65788- 3 1.29260- 4 2.70000+ 1 3.20000+ 1 1.68009- 3 1.66640- 4 2.70000+ 1 3.30000+ 1 5.88010- 4 1.67500- 4 2.70000+ 1 4.10000+ 1 1.12446- 4 1.67210- 4 2.90000+ 1 2.90000+ 1 7.71238- 4 1.48010- 4 2.90000+ 1 3.00000+ 1 2.83140- 3 1.58380- 4 2.90000+ 1 3.20000+ 1 1.60629- 3 1.95760- 4 2.90000+ 1 3.30000+ 1 4.22821- 4 1.96620- 4 2.90000+ 1 4.10000+ 1 1.31763- 4 1.96330- 4 3.00000+ 1 3.00000+ 1 1.03377- 3 1.68750- 4 3.00000+ 1 3.20000+ 1 2.74699- 3 2.06130- 4 3.00000+ 1 3.30000+ 1 2.49130- 4 2.06990- 4 3.00000+ 1 4.10000+ 1 8.68194- 5 2.06700- 4 3.20000+ 1 3.20000+ 1 1.12697- 4 2.43510- 4 3.20000+ 1 3.30000+ 1 4.31465- 4 2.44370- 4 3.20000+ 1 4.10000+ 1 1.18899- 4 2.44080- 4 3.30000+ 1 3.30000+ 1 6.56484- 6 2.45230- 4 3.30000+ 1 4.10000+ 1 1.53182- 5 2.44940- 4 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.59460- 6 2.01730- 4 2.50000+ 1 9.60791- 5 2.04090- 4 3.00000+ 1 2.28870- 5 2.01690- 4 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 1.03943- 2 1.56120- 4 2.40000+ 1 2.50000+ 1 3.85311- 1 1.58480- 4 2.40000+ 1 2.70000+ 1 8.33104- 3 1.16590- 4 2.40000+ 1 2.90000+ 1 4.89984- 3 1.45710- 4 2.40000+ 1 3.00000+ 1 1.33004- 2 1.56080- 4 2.40000+ 1 3.20000+ 1 9.43456- 4 1.93460- 4 2.40000+ 1 3.30000+ 1 1.71005- 2 1.94320- 4 2.40000+ 1 4.10000+ 1 6.79740- 4 1.94030- 4 2.50000+ 1 2.50000+ 1 2.85387- 1 1.60840- 4 2.50000+ 1 2.70000+ 1 6.52286- 2 1.18950- 4 2.50000+ 1 2.90000+ 1 6.59317- 2 1.48070- 4 2.50000+ 1 3.00000+ 1 7.40608- 2 1.58440- 4 2.50000+ 1 3.20000+ 1 1.53613- 2 1.95820- 4 2.50000+ 1 3.30000+ 1 2.93387- 2 1.96680- 4 2.50000+ 1 4.10000+ 1 5.99195- 3 1.96390- 4 2.70000+ 1 2.70000+ 1 1.83055- 3 7.70600- 5 2.70000+ 1 2.90000+ 1 1.41344- 3 1.06180- 4 2.70000+ 1 3.00000+ 1 3.33200- 3 1.16550- 4 2.70000+ 1 3.20000+ 1 6.92830- 4 1.53930- 4 2.70000+ 1 3.30000+ 1 2.34577- 3 1.54790- 4 2.70000+ 1 4.10000+ 1 1.81225- 4 1.54500- 4 2.90000+ 1 2.90000+ 1 2.08203- 4 1.35300- 4 2.90000+ 1 3.00000+ 1 2.20974- 3 1.45670- 4 2.90000+ 1 3.20000+ 1 7.89172- 5 1.83050- 4 2.90000+ 1 3.30000+ 1 1.30632- 3 1.83910- 4 2.90000+ 1 4.10000+ 1 5.55208- 5 1.83620- 4 3.00000+ 1 3.00000+ 1 9.37502- 4 1.56040- 4 3.00000+ 1 3.20000+ 1 2.61736- 4 1.93420- 4 3.00000+ 1 3.30000+ 1 1.87494- 3 1.94280- 4 3.00000+ 1 4.10000+ 1 1.13022- 4 1.93990- 4 3.20000+ 1 3.20000+ 1 2.77595- 6 2.30800- 4 3.20000+ 1 3.30000+ 1 3.55335- 4 2.31660- 4 3.20000+ 1 4.10000+ 1 1.74493- 5 2.31370- 4 3.30000+ 1 3.30000+ 1 2.62527- 4 2.32520- 4 3.30000+ 1 4.10000+ 1 1.35633- 4 2.32230- 4 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.60828- 7 2.91200- 5 3.00000+ 1 2.34497- 6 3.94900- 5 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 1.30742- 1 2.08500- 5 2.90000+ 1 3.30000+ 1 1.99155- 1 2.17100- 5 2.90000+ 1 4.10000+ 1 4.57328- 2 2.14200- 5 3.00000+ 1 3.20000+ 1 3.30177- 1 3.12200- 5 3.00000+ 1 3.30000+ 1 2.16280- 1 3.20800- 5 3.00000+ 1 4.10000+ 1 4.81708- 2 3.17900- 5 3.20000+ 1 3.20000+ 1 4.48170- 4 6.86000- 5 3.20000+ 1 3.30000+ 1 1.58115- 2 6.94600- 5 3.20000+ 1 4.10000+ 1 4.81724- 3 6.91700- 5 3.30000+ 1 3.30000+ 1 1.69270- 3 7.03200- 5 4.10000+ 1 4.10000+ 1 6.97008- 3 6.97400- 5 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.32980- 7 4.77500- 5 4.10000+ 1 1.90142- 8 4.83200- 5 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.20000+ 1 6.18242- 1 2.10000- 6 3.00000+ 1 3.30000+ 1 9.12896- 2 2.96000- 6 3.00000+ 1 4.10000+ 1 1.09161- 2 2.67000- 6 3.20000+ 1 3.20000+ 1 4.56210- 2 3.94800- 5 3.20000+ 1 3.30000+ 1 1.98355- 1 4.03400- 5 3.20000+ 1 4.10000+ 1 2.90532- 2 4.00500- 5 3.30000+ 1 3.30000+ 1 3.10523- 3 4.12000- 5 3.30000+ 1 4.10000+ 1 3.41555- 3 4.09100- 5 4.10000+ 1 4.10000+ 1 2.06879- 6 4.06200- 5 1 74000 0 7 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 2.96088- 9 3.73800- 5 3.30000+ 1 2.78218- 8 3.82400- 5 4.10000+ 1 7.19726- 9 3.79500- 5 1 74000 0 9 1.83850+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 3.14073- 2 2.91100- 5 3.20000+ 1 3.30000+ 1 6.45797- 1 2.99700- 5 3.20000+ 1 4.10000+ 1 5.70715- 2 2.96800- 5 3.30000+ 1 3.30000+ 1 1.53335- 1 3.08300- 5 3.30000+ 1 4.10000+ 1 1.09533- 1 3.05400- 5 4.10000+ 1 4.10000+ 1 2.85578- 3 3.02500- 5 1 75000 0 0 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 2.00000+ 0 3.30000+ 1 3.00000+ 0 4.10000+ 1 2.00000+ 0 1 75000 0 0 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.18560- 2 3.00000+ 0 1.25080- 2 5.00000+ 0 1.19930- 2 6.00000+ 0 1.05380- 2 8.00000+ 0 2.91160- 3 1.00000+ 1 2.67740- 3 1.10000+ 1 2.36050- 3 1.30000+ 1 1.96180- 3 1.40000+ 1 1.89270- 3 1.60000+ 1 6.15830- 4 1.80000+ 1 5.16830- 4 1.90000+ 1 4.42590- 4 2.10000+ 1 2.78260- 4 2.20000+ 1 2.64540- 4 2.40000+ 1 5.56400- 5 2.50000+ 1 5.29900- 5 2.70000+ 1 9.15700- 5 2.90000+ 1 6.09700- 5 3.00000+ 1 4.94000- 5 3.20000+ 1 9.52000- 6 3.30000+ 1 8.50000- 6 4.10000+ 1 8.06000- 6 1 75000 0 0 1.86207+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.79510- 2 3.00000+ 0 2.30970- 2 5.00000+ 0 2.30880- 2 6.00000+ 0 1.75460- 2 8.00000+ 0 7.31700- 3 1.00000+ 1 7.21300- 3 1.10000+ 1 5.85750- 3 1.30000+ 1 5.71710- 3 1.40000+ 1 5.41890- 3 1.60000+ 1 2.35210- 3 1.80000+ 1 2.23450- 3 1.90000+ 1 1.83070- 3 2.10000+ 1 1.61890- 3 2.20000+ 1 1.53360- 3 2.40000+ 1 1.13360- 3 2.50000+ 1 1.10490- 3 2.70000+ 1 5.38830- 4 2.90000+ 1 4.47960- 4 3.00000+ 1 3.57110- 4 3.20000+ 1 1.76650- 4 3.30000+ 1 1.61820- 4 4.10000+ 1 6.23300- 5 1 75000 0 0 1.86207+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.53430-11 3.00000+ 0 3.98900-10 5.00000+ 0 3.29240-10 6.00000+ 0 3.71910-10 8.00000+ 0 1.03760- 9 1.00000+ 1 9.83930-10 1.10000+ 1 1.06230- 9 1.30000+ 1 9.27550-10 1.40000+ 1 9.51500-10 1.60000+ 1 2.31700- 9 1.80000+ 1 2.33700- 9 1.90000+ 1 2.51160- 9 2.10000+ 1 2.58110- 9 2.20000+ 1 2.63900- 9 2.40000+ 1 2.95260- 9 2.50000+ 1 2.99430- 9 2.70000+ 1 5.40620- 9 2.90000+ 1 5.90050- 9 3.00000+ 1 6.42180- 9 3.20000+ 1 9.25620- 9 3.30000+ 1 9.64630- 9 4.10000+ 1 1.60220- 8 1 75000 0 0 1.86207+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.95320- 5 3.00000+ 0 8.60870- 7 5.00000+ 0 1.49720- 6 6.00000+ 0 1.32830- 6 8.00000+ 0 3.01480- 8 1.00000+ 1 3.21800- 8 1.10000+ 1 3.39480- 8 1.30000+ 1 4.06250- 8 1.40000+ 1 3.81590- 8 1.60000+ 1 9.22760-10 1.80000+ 1 1.59220- 9 1.90000+ 1 9.74820-10 2.10000+ 1 1.20620- 9 2.20000+ 1 1.05550- 9 2.70000+ 1 4.70170-11 2.90000+ 1 4.33030-11 3.00000+ 1 2.86510-11 1 75000 0 0 1.86207+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.80290- 6 3.00000+ 0 1.18050- 5 5.00000+ 0 3.31780- 6 6.00000+ 0 3.43440- 6 8.00000+ 0 1.76620- 5 1.00000+ 1 1.17710- 5 1.10000+ 1 1.03660- 5 1.30000+ 1 2.43140- 6 1.40000+ 1 1.75370- 6 1.60000+ 1 1.46350- 5 1.80000+ 1 1.36510- 5 1.90000+ 1 9.95190- 6 2.10000+ 1 7.47910- 6 2.20000+ 1 7.01610- 6 2.70000+ 1 8.30750- 6 2.90000+ 1 3.46150- 6 3.00000+ 1 2.15620- 6 1 75000 0 0 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.90863- 4 3.00000+ 0 4.09168- 4 5.00000+ 0 3.02373- 4 6.00000+ 0 2.91827- 4 8.00000+ 0 2.75774- 4 1.00000+ 1 2.38255- 4 1.10000+ 1 2.17204- 4 1.30000+ 1 1.67078- 4 1.40000+ 1 1.58985- 4 1.60000+ 1 1.33258- 4 1.80000+ 1 1.30083- 4 1.90000+ 1 1.24107- 4 2.10000+ 1 9.76000- 5 2.20000+ 1 9.46727- 5 2.40000+ 1 5.56400- 5 2.50000+ 1 5.29900- 5 2.70000+ 1 2.85681- 5 2.90000+ 1 2.40979- 5 3.00000+ 1 1.77052- 5 3.20000+ 1 9.52000- 6 3.30000+ 1 8.50000- 6 4.10000+ 1 8.06000- 6 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.23537+ 0 3.00000+ 0 3.35097- 1 5.00000+ 0 3.78533- 1 6.00000+ 0 3.07402- 1 8.00000+ 0 2.38298- 2 1.00000+ 1 2.38421- 2 1.10000+ 1 2.25708- 2 1.30000+ 1 2.44412- 2 1.40000+ 1 2.31364- 2 1.60000+ 1 8.18786- 4 1.80000+ 1 1.03390- 3 1.90000+ 1 4.48302- 4 2.10000+ 1 1.49737- 4 2.20000+ 1 1.40837- 4 2.70000+ 1 3.51998- 6 2.90000+ 1 3.32295- 7 3.00000+ 1 7.03628- 8 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.22415- 2 3.00000+ 0 2.77761- 3 5.00000+ 0 3.56101- 3 6.00000+ 0 2.48171- 3 8.00000+ 0 4.44041- 5 1.00000+ 1 4.42482- 5 1.10000+ 1 4.12388- 5 1.30000+ 1 4.47468- 5 1.40000+ 1 4.13554- 5 1.60000+ 1 2.41667- 7 1.80000+ 1 2.75634- 7 1.90000+ 1 1.06713- 7 2.10000+ 1 3.31246- 8 2.20000+ 1 2.98144- 8 2.70000+ 1 1.43195-10 2.90000+ 1 1.66428-11 3.00000+ 1 2.87700-12 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.71490+ 0 3.00000+ 0 9.80928+ 0 5.00000+ 0 6.99146+ 0 6.00000+ 0 6.67493+ 0 8.00000+ 0 6.52909+ 0 1.00000+ 1 5.39986+ 0 1.10000+ 1 4.79206+ 0 1.30000+ 1 3.21675+ 0 1.40000+ 1 3.08668+ 0 1.60000+ 1 4.06160+ 0 1.80000+ 1 2.89300+ 0 1.90000+ 1 2.81099+ 0 2.10000+ 1 1.40861+ 0 2.20000+ 1 1.42015+ 0 2.70000+ 1 2.19831+ 0 2.90000+ 1 1.66791+ 0 3.00000+ 1 1.00000+ 0 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.32359- 3 3.00000+ 0 9.32123- 3 5.00000+ 0 8.12962- 3 6.00000+ 0 7.76446- 3 8.00000+ 0 2.59142- 3 1.00000+ 1 2.39490- 3 1.10000+ 1 2.10206- 3 1.30000+ 1 1.74997- 3 1.40000+ 1 1.69236- 3 1.60000+ 1 4.82330- 4 1.80000+ 1 3.86472- 4 1.90000+ 1 3.18376- 4 2.10000+ 1 1.80627- 4 2.20000+ 1 1.69837- 4 2.70000+ 1 6.30018- 5 2.90000+ 1 3.68721- 5 3.00000+ 1 3.16948- 5 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.77291- 1 5.98630- 2 6.00000+ 0 4.79452- 1 6.13180- 2 1.00000+ 1 5.18162- 2 6.91786- 2 1.10000+ 1 1.00130- 1 6.94955- 2 1.30000+ 1 1.15521- 3 6.98942- 2 1.40000+ 1 1.44981- 3 6.99633- 2 1.80000+ 1 1.18591- 2 7.13392- 2 1.90000+ 1 2.30381- 2 7.14134- 2 2.10000+ 1 2.82531- 4 7.15777- 2 2.20000+ 1 3.53082- 4 7.15915- 2 2.90000+ 1 2.70201- 3 7.17950- 2 3.00000+ 1 5.49572- 3 7.18066- 2 3.20000+ 1 1.12561- 5 7.18465- 2 3.30000+ 1 1.34681- 5 7.18475- 2 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.53410- 3 4.68400- 2 3.00000+ 0 5.00000+ 0 6.63637- 3 4.73550- 2 3.00000+ 0 6.00000+ 0 4.50256- 3 4.88100- 2 3.00000+ 0 8.00000+ 0 1.79508- 3 5.64364- 2 3.00000+ 0 1.00000+ 1 1.41443- 3 5.66706- 2 3.00000+ 0 1.10000+ 1 1.01995- 3 5.69875- 2 3.00000+ 0 1.30000+ 1 8.27657- 5 5.73862- 2 3.00000+ 0 1.40000+ 1 6.80444- 5 5.74553- 2 3.00000+ 0 1.60000+ 1 4.35963- 4 5.87322- 2 3.00000+ 0 1.80000+ 1 3.33513- 4 5.88312- 2 3.00000+ 0 1.90000+ 1 2.38391- 4 5.89054- 2 3.00000+ 0 2.10000+ 1 2.00809- 5 5.90697- 2 3.00000+ 0 2.20000+ 1 1.62146- 5 5.90835- 2 3.00000+ 0 2.40000+ 1 6.78424- 8 5.92924- 2 3.00000+ 0 2.50000+ 1 6.78424- 8 5.92950- 2 3.00000+ 0 2.70000+ 1 7.91735- 5 5.92564- 2 3.00000+ 0 2.90000+ 1 5.15619- 5 5.92870- 2 3.00000+ 0 3.00000+ 1 3.52093- 5 5.92986- 2 3.00000+ 0 3.20000+ 1 1.35683- 6 5.93385- 2 3.00000+ 0 3.30000+ 1 2.03529- 7 5.93395- 2 5.00000+ 0 5.00000+ 0 4.47422- 4 4.78700- 2 5.00000+ 0 6.00000+ 0 8.35673- 3 4.93250- 2 5.00000+ 0 8.00000+ 0 1.12623- 3 5.69514- 2 5.00000+ 0 1.00000+ 1 1.67508- 4 5.71856- 2 5.00000+ 0 1.10000+ 1 1.57636- 3 5.75025- 2 5.00000+ 0 1.30000+ 1 8.73833- 5 5.79012- 2 5.00000+ 0 1.40000+ 1 2.46341- 4 5.79703- 2 5.00000+ 0 1.60000+ 1 2.64190- 4 5.92472- 2 5.00000+ 0 1.80000+ 1 3.83985- 5 5.93462- 2 5.00000+ 0 1.90000+ 1 3.53792- 4 5.94204- 2 5.00000+ 0 2.10000+ 1 2.04884- 5 5.95847- 2 5.00000+ 0 2.20000+ 1 5.75998- 5 5.95985- 2 5.00000+ 0 2.40000+ 1 4.74906- 7 5.98074- 2 5.00000+ 0 2.50000+ 1 7.46267- 7 5.98100- 2 5.00000+ 0 2.70000+ 1 4.76246- 5 5.97714- 2 5.00000+ 0 2.90000+ 1 5.90250- 6 5.98020- 2 5.00000+ 0 3.00000+ 1 5.19001- 5 5.98136- 2 5.00000+ 0 3.20000+ 1 1.35686- 6 5.98535- 2 5.00000+ 0 3.30000+ 1 6.10612- 7 5.98545- 2 6.00000+ 0 6.00000+ 0 3.73042- 3 5.07800- 2 6.00000+ 0 8.00000+ 0 7.05318- 4 5.84064- 2 6.00000+ 0 1.00000+ 1 1.46517- 3 5.86406- 2 6.00000+ 0 1.10000+ 1 1.45353- 3 5.89575- 2 6.00000+ 0 1.30000+ 1 2.78772- 4 5.93562- 2 6.00000+ 0 1.40000+ 1 2.38335- 4 5.94253- 2 6.00000+ 0 1.60000+ 1 1.62345- 4 6.07022- 2 6.00000+ 0 1.80000+ 1 3.31483- 4 6.08012- 2 6.00000+ 0 1.90000+ 1 3.29040- 4 6.08754- 2 6.00000+ 0 2.10000+ 1 6.58080- 5 6.10397- 2 6.00000+ 0 2.20000+ 1 5.59729- 5 6.10535- 2 6.00000+ 0 2.40000+ 1 8.81977- 7 6.12624- 2 6.00000+ 0 2.50000+ 1 9.49805- 7 6.12650- 2 6.00000+ 0 2.70000+ 1 2.91736- 5 6.12264- 2 6.00000+ 0 2.90000+ 1 5.08162- 5 6.12570- 2 6.00000+ 0 3.00000+ 1 4.83039- 5 6.12686- 2 6.00000+ 0 3.20000+ 1 4.40983- 6 6.13085- 2 6.00000+ 0 3.30000+ 1 6.10614- 7 6.13095- 2 8.00000+ 0 8.00000+ 0 1.74836- 4 6.60328- 2 8.00000+ 0 1.00000+ 1 2.41119- 4 6.62670- 2 8.00000+ 0 1.10000+ 1 1.61336- 4 6.65839- 2 8.00000+ 0 1.30000+ 1 1.26866- 5 6.69826- 2 8.00000+ 0 1.40000+ 1 9.83755- 6 6.70517- 2 8.00000+ 0 1.60000+ 1 8.46017- 5 6.83286- 2 8.00000+ 0 1.80000+ 1 5.69212- 5 6.84276- 2 8.00000+ 0 1.90000+ 1 3.77888- 5 6.85018- 2 8.00000+ 0 2.10000+ 1 3.05299- 6 6.86661- 2 8.00000+ 0 2.20000+ 1 2.37449- 6 6.86799- 2 8.00000+ 0 2.70000+ 1 1.53330- 5 6.88528- 2 8.00000+ 0 2.90000+ 1 8.81982- 6 6.88834- 2 8.00000+ 0 3.00000+ 1 5.56310- 6 6.88950- 2 8.00000+ 0 3.20000+ 1 2.03536- 7 6.89349- 2 1.00000+ 1 1.00000+ 1 1.52648- 5 6.65012- 2 1.00000+ 1 1.10000+ 1 2.83461- 4 6.68181- 2 1.00000+ 1 1.30000+ 1 1.28896- 5 6.72168- 2 1.00000+ 1 1.40000+ 1 3.28360- 5 6.72859- 2 1.00000+ 1 1.60000+ 1 5.65841- 5 6.85628- 2 1.00000+ 1 1.80000+ 1 6.92015- 6 6.86618- 2 1.00000+ 1 1.90000+ 1 6.39779- 5 6.87360- 2 1.00000+ 1 2.10000+ 1 3.05298- 6 6.89003- 2 1.00000+ 1 2.20000+ 1 7.73425- 6 6.89141- 2 1.00000+ 1 2.40000+ 1 6.78443- 8 6.91230- 2 1.00000+ 1 2.50000+ 1 6.78443- 8 6.91256- 2 1.00000+ 1 2.70000+ 1 1.01764- 5 6.90870- 2 1.00000+ 1 2.90000+ 1 1.08554- 6 6.91176- 2 1.00000+ 1 3.00000+ 1 9.36235- 6 6.91292- 2 1.00000+ 1 3.20000+ 1 2.03535- 7 6.91691- 2 1.00000+ 1 3.30000+ 1 6.78443- 8 6.91701- 2 1.10000+ 1 1.10000+ 1 1.42821- 4 6.71350- 2 1.10000+ 1 1.30000+ 1 4.32840- 5 6.75337- 2 1.10000+ 1 1.40000+ 1 3.58221- 5 6.76028- 2 1.10000+ 1 1.60000+ 1 3.72472- 5 6.88797- 2 1.10000+ 1 1.80000+ 1 6.44510- 5 6.89787- 2 1.10000+ 1 1.90000+ 1 6.47261- 5 6.90529- 2 1.10000+ 1 2.10000+ 1 1.03124- 5 6.92172- 2 1.10000+ 1 2.20000+ 1 8.48058- 6 6.92310- 2 1.10000+ 1 2.40000+ 1 1.35689- 7 6.94399- 2 1.10000+ 1 2.50000+ 1 1.35689- 7 6.94425- 2 1.10000+ 1 2.70000+ 1 6.71664- 6 6.94039- 2 1.10000+ 1 2.90000+ 1 9.90549- 6 6.94345- 2 1.10000+ 1 3.00000+ 1 9.49823- 6 6.94461- 2 1.10000+ 1 3.20000+ 1 6.78455- 7 6.94860- 2 1.10000+ 1 3.30000+ 1 6.78455- 8 6.94870- 2 1.30000+ 1 1.30000+ 1 6.78443- 8 6.79324- 2 1.30000+ 1 1.40000+ 1 5.22373- 6 6.80015- 2 1.30000+ 1 1.60000+ 1 2.91736- 6 6.92784- 2 1.30000+ 1 1.80000+ 1 2.84934- 6 6.93774- 2 1.30000+ 1 1.90000+ 1 9.29494- 6 6.94516- 2 1.30000+ 1 2.10000+ 1 6.78443- 8 6.96159- 2 1.30000+ 1 2.20000+ 1 1.15334- 6 6.96297- 2 1.30000+ 1 2.70000+ 1 5.42777- 7 6.98026- 2 1.30000+ 1 2.90000+ 1 4.07060- 7 6.98332- 2 1.30000+ 1 3.00000+ 1 1.35687- 6 6.98448- 2 1.40000+ 1 1.40000+ 1 1.22113- 6 6.80706- 2 1.40000+ 1 1.60000+ 1 2.23883- 6 6.93475- 2 1.40000+ 1 1.80000+ 1 6.98793- 6 6.94465- 2 1.40000+ 1 1.90000+ 1 7.66620- 6 6.95207- 2 1.40000+ 1 2.10000+ 1 1.15332- 6 6.96850- 2 1.40000+ 1 2.20000+ 1 5.42767- 7 6.96988- 2 1.40000+ 1 2.70000+ 1 4.07052- 7 6.98717- 2 1.40000+ 1 2.90000+ 1 1.08552- 6 6.99023- 2 1.40000+ 1 3.00000+ 1 1.08552- 6 6.99139- 2 1.40000+ 1 3.20000+ 1 6.78430- 8 6.99538- 2 1.60000+ 1 1.60000+ 1 1.02826- 5 7.06243- 2 1.60000+ 1 1.80000+ 1 1.34158- 5 7.07233- 2 1.60000+ 1 1.90000+ 1 8.78466- 6 7.07976- 2 1.60000+ 1 2.10000+ 1 6.80985- 7 7.09619- 2 1.60000+ 1 2.20000+ 1 5.44811- 7 7.09756- 2 1.60000+ 1 2.70000+ 1 3.74544- 6 7.11486- 2 1.60000+ 1 2.90000+ 1 2.04298- 6 7.11792- 2 1.60000+ 1 3.00000+ 1 1.29379- 6 7.11908- 2 1.60000+ 1 3.20000+ 1 6.80985- 8 7.12306- 2 1.80000+ 1 1.80000+ 1 8.14136- 7 7.08223- 2 1.80000+ 1 1.90000+ 1 1.45186- 5 7.08966- 2 1.80000+ 1 2.10000+ 1 6.78432- 7 7.10609- 2 1.80000+ 1 2.20000+ 1 1.62828- 6 7.10746- 2 1.80000+ 1 2.70000+ 1 2.44236- 6 7.12476- 2 1.80000+ 1 2.90000+ 1 2.71358- 7 7.12782- 2 1.80000+ 1 3.00000+ 1 2.10313- 6 7.12898- 2 1.80000+ 1 3.20000+ 1 6.78432- 8 7.13296- 2 1.90000+ 1 1.90000+ 1 7.06789- 6 7.09708- 2 1.90000+ 1 2.10000+ 1 2.15958- 6 7.11351- 2 1.90000+ 1 2.20000+ 1 1.76695- 6 7.11489- 2 1.90000+ 1 2.70000+ 1 1.50513- 6 7.13218- 2 1.90000+ 1 2.90000+ 1 2.15958- 6 7.13524- 2 1.90000+ 1 3.00000+ 1 2.09407- 6 7.13640- 2 1.90000+ 1 3.20000+ 1 1.30881- 7 7.14039- 2 2.10000+ 1 2.20000+ 1 2.71362- 7 7.13132- 2 2.10000+ 1 2.70000+ 1 1.35686- 7 7.14862- 2 2.10000+ 1 2.90000+ 1 1.35686- 7 7.15168- 2 2.10000+ 1 3.00000+ 1 3.39209- 7 7.15283- 2 2.20000+ 1 2.20000+ 1 6.78441- 8 7.13269- 2 2.20000+ 1 2.70000+ 1 6.78441- 8 7.14999- 2 2.20000+ 1 2.90000+ 1 2.71362- 7 7.15305- 2 2.20000+ 1 3.00000+ 1 2.71362- 7 7.15421- 2 2.70000+ 1 2.70000+ 1 3.96460- 7 7.16729- 2 2.70000+ 1 2.90000+ 1 3.96460- 7 7.17035- 2 2.70000+ 1 3.00000+ 1 2.37886- 7 7.17150- 2 2.90000+ 1 3.00000+ 1 3.15911- 7 7.17456- 2 3.00000+ 1 3.00000+ 1 1.35681- 7 7.17572- 2 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.06919- 5 5.15000- 4 6.00000+ 0 1.41849- 3 1.97000- 3 1.00000+ 1 2.25049- 2 9.83060- 3 1.10000+ 1 2.77469- 2 1.01475- 2 1.30000+ 1 6.71807- 4 1.05462- 2 1.40000+ 1 1.00589- 3 1.06153- 2 1.80000+ 1 5.56097- 3 1.19912- 2 1.90000+ 1 7.28386- 3 1.20654- 2 2.10000+ 1 9.59785- 5 1.22297- 2 2.20000+ 1 1.50119- 4 1.22435- 2 2.90000+ 1 8.91715- 4 1.24470- 2 3.00000+ 1 1.13359- 3 1.24586- 2 3.20000+ 1 3.61798- 6 1.24985- 2 3.30000+ 1 5.48207- 6 1.24995- 2 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.80000+ 1 1.69111- 2 0.00000+ 0 5.00000+ 0 1.90000+ 1 1.70899- 2 7.24100- 5 5.00000+ 0 2.10000+ 1 4.70819- 3 2.36740- 4 5.00000+ 0 2.20000+ 1 6.54740- 3 2.50460- 4 5.00000+ 0 2.40000+ 1 1.36903- 2 4.59360- 4 5.00000+ 0 2.50000+ 1 1.80053- 2 4.62010- 4 5.00000+ 0 2.70000+ 1 3.68721- 3 4.23430- 4 5.00000+ 0 2.90000+ 1 2.44318- 3 4.54030- 4 5.00000+ 0 3.00000+ 1 2.40721- 3 4.65600- 4 5.00000+ 0 3.20000+ 1 3.19465- 4 5.05480- 4 5.00000+ 0 3.30000+ 1 7.12779- 5 5.06500- 4 6.00000+ 0 1.30000+ 1 2.12875- 1 8.20000- 6 6.00000+ 0 1.40000+ 1 3.22701- 1 7.73000- 5 6.00000+ 0 1.60000+ 1 2.02492- 2 1.35417- 3 6.00000+ 0 1.80000+ 1 8.23249- 3 1.45317- 3 6.00000+ 0 1.90000+ 1 1.30981- 2 1.52741- 3 6.00000+ 0 2.10000+ 1 2.89093- 2 1.69174- 3 6.00000+ 0 2.20000+ 1 3.50091- 2 1.70546- 3 6.00000+ 0 2.40000+ 1 2.02332- 2 1.91436- 3 6.00000+ 0 2.50000+ 1 2.53647- 2 1.91701- 3 6.00000+ 0 2.70000+ 1 3.52010- 3 1.87843- 3 6.00000+ 0 2.90000+ 1 1.24115- 3 1.90903- 3 6.00000+ 0 3.00000+ 1 1.91359- 3 1.92060- 3 6.00000+ 0 3.20000+ 1 1.81746- 3 1.96048- 3 6.00000+ 0 3.30000+ 1 3.42866- 4 1.96150- 3 8.00000+ 0 8.00000+ 0 5.03037- 3 6.68480- 3 8.00000+ 0 1.00000+ 1 1.02488- 2 6.91900- 3 8.00000+ 0 1.10000+ 1 1.70300- 2 7.23590- 3 8.00000+ 0 1.30000+ 1 1.29419- 2 7.63460- 3 8.00000+ 0 1.40000+ 1 1.71099- 2 7.70370- 3 8.00000+ 0 1.60000+ 1 2.07394- 3 8.98057- 3 8.00000+ 0 1.80000+ 1 2.37643- 3 9.07957- 3 8.00000+ 0 1.90000+ 1 3.87868- 3 9.15381- 3 8.00000+ 0 2.10000+ 1 2.60707- 3 9.31814- 3 8.00000+ 0 2.20000+ 1 3.41080- 3 9.33186- 3 8.00000+ 0 2.40000+ 1 1.79474- 4 9.54076- 3 8.00000+ 0 2.50000+ 1 2.02888- 4 9.54341- 3 8.00000+ 0 2.70000+ 1 3.67112- 4 9.50483- 3 8.00000+ 0 2.90000+ 1 3.65833- 4 9.53543- 3 8.00000+ 0 3.00000+ 1 5.70219- 4 9.54700- 3 8.00000+ 0 3.20000+ 1 1.71759- 4 9.58688- 3 8.00000+ 0 3.30000+ 1 3.54241- 5 9.58790- 3 1.00000+ 1 1.00000+ 1 2.61927- 5 7.15320- 3 1.00000+ 1 1.10000+ 1 2.31868- 4 7.47010- 3 1.00000+ 1 1.30000+ 1 5.97053- 4 7.86880- 3 1.00000+ 1 1.40000+ 1 5.38573- 3 7.93790- 3 1.00000+ 1 1.60000+ 1 1.66564- 3 9.21477- 3 1.00000+ 1 1.80000+ 1 4.07914- 6 9.31377- 3 1.00000+ 1 1.90000+ 1 4.70171- 5 9.38801- 3 1.00000+ 1 2.10000+ 1 1.09923- 4 9.55234- 3 1.00000+ 1 2.20000+ 1 6.87869- 4 9.56606- 3 1.00000+ 1 2.40000+ 1 6.39782- 5 9.77496- 3 1.00000+ 1 2.50000+ 1 2.24563- 4 9.77761- 3 1.00000+ 1 2.70000+ 1 2.78885- 4 9.73903- 3 1.00000+ 1 2.90000+ 1 4.29380- 7 9.76963- 3 1.00000+ 1 3.00000+ 1 6.87010- 6 9.78120- 3 1.00000+ 1 3.20000+ 1 7.29949- 6 9.82108- 3 1.00000+ 1 3.30000+ 1 6.65545- 6 9.82210- 3 1.10000+ 1 1.10000+ 1 4.80695- 4 7.78700- 3 1.10000+ 1 1.30000+ 1 2.17889- 3 8.18570- 3 1.10000+ 1 1.40000+ 1 1.35985- 3 8.25480- 3 1.10000+ 1 1.60000+ 1 2.74178- 3 9.53167- 3 1.10000+ 1 1.80000+ 1 5.19558- 5 9.63067- 3 1.10000+ 1 1.90000+ 1 1.62956- 4 9.70491- 3 1.10000+ 1 2.10000+ 1 1.92156- 4 9.86924- 3 1.10000+ 1 2.20000+ 1 1.10783- 4 9.88296- 3 1.10000+ 1 2.40000+ 1 1.32888- 4 1.00919- 2 1.10000+ 1 2.50000+ 1 1.09703- 4 1.00945- 2 1.10000+ 1 2.70000+ 1 4.58361- 4 1.00559- 2 1.10000+ 1 2.90000+ 1 7.94366- 6 1.00865- 2 1.10000+ 1 3.00000+ 1 2.27561- 5 1.00981- 2 1.10000+ 1 3.20000+ 1 1.11642- 5 1.01380- 2 1.10000+ 1 3.30000+ 1 1.07346- 6 1.01390- 2 1.30000+ 1 1.30000+ 1 7.68184- 4 8.58440- 3 1.30000+ 1 1.40000+ 1 2.37708- 2 8.65350- 3 1.30000+ 1 1.60000+ 1 1.92479- 3 9.93037- 3 1.30000+ 1 1.80000+ 1 1.70034- 4 1.00294- 2 1.30000+ 1 1.90000+ 1 5.45756- 4 1.01036- 2 1.30000+ 1 2.10000+ 1 3.02073- 4 1.02679- 2 1.30000+ 1 2.20000+ 1 3.32582- 3 1.02817- 2 1.30000+ 1 2.40000+ 1 1.99883- 4 1.04906- 2 1.30000+ 1 2.50000+ 1 5.55200- 4 1.04932- 2 1.30000+ 1 2.70000+ 1 3.17103- 4 1.04546- 2 1.30000+ 1 2.90000+ 1 2.72663- 5 1.04852- 2 1.30000+ 1 3.00000+ 1 8.13703- 5 1.04968- 2 1.30000+ 1 3.20000+ 1 1.99664- 5 1.05367- 2 1.30000+ 1 3.30000+ 1 3.26337- 5 1.05377- 2 1.40000+ 1 1.40000+ 1 6.62313- 3 8.72260- 3 1.40000+ 1 1.60000+ 1 2.57676- 3 9.99947- 3 1.40000+ 1 1.80000+ 1 1.11384- 3 1.00985- 2 1.40000+ 1 1.90000+ 1 3.54680- 4 1.01727- 2 1.40000+ 1 2.10000+ 1 3.24900- 3 1.03370- 2 1.40000+ 1 2.20000+ 1 1.95498- 3 1.03508- 2 1.40000+ 1 2.40000+ 1 6.15315- 4 1.05597- 2 1.40000+ 1 2.50000+ 1 4.68903- 4 1.05623- 2 1.40000+ 1 2.70000+ 1 4.26382- 4 1.05237- 2 1.40000+ 1 2.90000+ 1 1.68106- 4 1.05543- 2 1.40000+ 1 3.00000+ 1 5.34598- 5 1.05659- 2 1.40000+ 1 3.20000+ 1 2.02023- 4 1.06058- 2 1.40000+ 1 3.30000+ 1 1.93229- 5 1.06068- 2 1.60000+ 1 1.60000+ 1 2.01813- 4 1.12763- 2 1.60000+ 1 1.80000+ 1 3.87307- 4 1.13753- 2 1.60000+ 1 1.90000+ 1 6.26485- 4 1.14496- 2 1.60000+ 1 2.10000+ 1 3.88176- 4 1.16139- 2 1.60000+ 1 2.20000+ 1 5.11623- 4 1.16276- 2 1.60000+ 1 2.40000+ 1 2.18991- 5 1.18365- 2 1.60000+ 1 2.50000+ 1 2.40457- 5 1.18392- 2 1.60000+ 1 2.70000+ 1 7.06350- 5 1.18006- 2 1.60000+ 1 2.90000+ 1 5.96855- 5 1.18312- 2 1.60000+ 1 3.00000+ 1 9.21015- 5 1.18428- 2 1.60000+ 1 3.20000+ 1 2.55497- 5 1.18826- 2 1.60000+ 1 3.30000+ 1 5.36745- 6 1.18837- 2 1.80000+ 1 1.90000+ 1 1.05196- 5 1.15486- 2 1.80000+ 1 2.10000+ 1 2.70500- 5 1.17129- 2 1.80000+ 1 2.20000+ 1 1.47496- 4 1.17266- 2 1.80000+ 1 2.40000+ 1 8.80203- 6 1.19355- 2 1.80000+ 1 2.50000+ 1 3.43509- 5 1.19382- 2 1.80000+ 1 2.70000+ 1 6.48365- 5 1.18996- 2 1.80000+ 1 3.00000+ 1 1.50275- 6 1.19418- 2 1.80000+ 1 3.20000+ 1 1.71760- 6 1.19816- 2 1.80000+ 1 3.30000+ 1 1.50275- 6 1.19827- 2 1.90000+ 1 1.90000+ 1 1.33114- 5 1.16228- 2 1.90000+ 1 2.10000+ 1 5.43162- 5 1.17871- 2 1.90000+ 1 2.20000+ 1 3.41355- 5 1.18009- 2 1.90000+ 1 2.40000+ 1 2.49031- 5 1.20098- 2 1.90000+ 1 2.50000+ 1 2.01805- 5 1.20124- 2 1.90000+ 1 2.70000+ 1 1.04775- 4 1.19738- 2 1.90000+ 1 2.90000+ 1 1.71757- 6 1.20044- 2 1.90000+ 1 3.00000+ 1 3.64969- 6 1.20160- 2 1.90000+ 1 3.20000+ 1 3.22030- 6 1.20559- 2 1.90000+ 1 3.30000+ 1 4.29373- 7 1.20569- 2 2.10000+ 1 2.10000+ 1 2.74813- 5 1.19515- 2 2.10000+ 1 2.20000+ 1 4.96162- 4 1.19652- 2 2.10000+ 1 2.40000+ 1 2.72664- 5 1.21741- 2 2.10000+ 1 2.50000+ 1 5.79674- 5 1.21767- 2 2.10000+ 1 2.70000+ 1 6.39793- 5 1.21382- 2 2.10000+ 1 2.90000+ 1 4.29388- 6 1.21688- 2 2.10000+ 1 3.00000+ 1 8.15834- 6 1.21803- 2 2.10000+ 1 3.20000+ 1 3.64981- 6 1.22202- 2 2.10000+ 1 3.30000+ 1 4.93803- 6 1.22212- 2 2.20000+ 1 2.20000+ 1 1.54584- 4 1.19789- 2 2.20000+ 1 2.40000+ 1 6.69837- 5 1.21878- 2 2.20000+ 1 2.50000+ 1 5.68936- 5 1.21905- 2 2.20000+ 1 2.70000+ 1 8.45895- 5 1.21519- 2 2.20000+ 1 2.90000+ 1 2.23286- 5 1.21825- 2 2.20000+ 1 3.00000+ 1 5.15264- 6 1.21941- 2 2.20000+ 1 3.20000+ 1 3.11305- 5 1.22339- 2 2.20000+ 1 3.30000+ 1 3.00572- 6 1.22350- 2 2.40000+ 1 2.40000+ 1 1.11297- 6 1.23967- 2 2.40000+ 1 2.50000+ 1 1.92920- 5 1.23994- 2 2.40000+ 1 2.70000+ 1 5.93595- 6 1.23608- 2 2.40000+ 1 2.90000+ 1 2.22588- 6 1.23914- 2 2.40000+ 1 3.00000+ 1 5.93595- 6 1.24030- 2 2.40000+ 1 3.20000+ 1 2.96806- 6 1.24428- 2 2.40000+ 1 3.30000+ 1 1.11297- 6 1.24439- 2 2.50000+ 1 2.50000+ 1 4.17428- 6 1.24020- 2 2.50000+ 1 2.70000+ 1 6.83044- 6 1.23634- 2 2.50000+ 1 2.90000+ 1 8.72797- 6 1.23940- 2 2.50000+ 1 3.00000+ 1 4.93309- 6 1.24056- 2 2.50000+ 1 3.20000+ 1 6.07164- 6 1.24455- 2 2.50000+ 1 3.30000+ 1 1.13841- 6 1.24465- 2 2.70000+ 1 2.70000+ 1 2.00971- 5 1.23249- 2 2.70000+ 1 2.90000+ 1 3.25726- 5 1.23555- 2 2.70000+ 1 3.00000+ 1 4.98978- 5 1.23670- 2 2.70000+ 1 3.20000+ 1 1.38600- 5 1.24069- 2 2.70000+ 1 3.30000+ 1 2.77193- 6 1.24079- 2 2.90000+ 1 3.00000+ 1 2.76339- 6 1.23976- 2 2.90000+ 1 3.20000+ 1 2.76339- 6 1.24375- 2 2.90000+ 1 3.30000+ 1 2.76339- 6 1.24385- 2 3.00000+ 1 3.00000+ 1 1.38066- 6 1.24092- 2 3.00000+ 1 3.20000+ 1 2.76132- 6 1.24491- 2 3.20000+ 1 3.20000+ 1 2.38565- 7 1.24890- 2 3.20000+ 1 3.30000+ 1 4.77131- 7 1.24900- 2 3.30000+ 1 3.30000+ 1 2.14689- 7 1.24910- 2 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 3.76046- 6 1.45500- 3 8.00000+ 0 6.95902- 3 9.08140- 3 1.10000+ 1 2.27937- 4 9.63250- 3 1.30000+ 1 2.49727- 1 1.00312- 2 1.60000+ 1 1.68178- 3 1.13772- 2 1.90000+ 1 5.95353- 5 1.15504- 2 2.10000+ 1 4.70355- 2 1.17147- 2 2.40000+ 1 1.33189- 4 1.19374- 2 2.70000+ 1 3.25726- 4 1.19014- 2 3.00000+ 1 1.22349- 5 1.19436- 2 3.20000+ 1 1.80548- 3 1.19835- 2 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 6.44477- 3 8.39170- 4 6.00000+ 0 1.80000+ 1 4.14305- 2 9.38170- 4 6.00000+ 0 1.90000+ 1 1.23479- 2 1.01241- 3 6.00000+ 0 2.10000+ 1 4.55432- 2 1.17674- 3 6.00000+ 0 2.20000+ 1 1.58994- 2 1.19046- 3 6.00000+ 0 2.40000+ 1 1.51784- 3 1.39936- 3 6.00000+ 0 2.50000+ 1 2.29971- 3 1.40201- 3 6.00000+ 0 2.70000+ 1 1.07354- 3 1.36343- 3 6.00000+ 0 2.90000+ 1 5.93350- 3 1.39403- 3 6.00000+ 0 3.00000+ 1 1.78171- 3 1.40560- 3 6.00000+ 0 3.20000+ 1 2.90586- 3 1.44548- 3 6.00000+ 0 3.30000+ 1 1.60580- 4 1.44650- 3 8.00000+ 0 8.00000+ 0 6.84333- 4 6.16980- 3 8.00000+ 0 1.00000+ 1 2.16112- 2 6.40400- 3 8.00000+ 0 1.10000+ 1 2.06884- 3 6.72090- 3 8.00000+ 0 1.30000+ 1 2.85525- 3 7.11960- 3 8.00000+ 0 1.40000+ 1 2.23975- 3 7.18870- 3 8.00000+ 0 1.60000+ 1 2.56476- 4 8.46557- 3 8.00000+ 0 1.80000+ 1 3.32577- 3 8.56457- 3 8.00000+ 0 1.90000+ 1 4.20465- 4 8.63881- 3 8.00000+ 0 2.10000+ 1 4.07985- 4 8.80314- 3 8.00000+ 0 2.20000+ 1 2.72372- 4 8.81686- 3 8.00000+ 0 2.40000+ 1 8.73847- 5 9.02576- 3 8.00000+ 0 2.50000+ 1 5.84464- 5 9.02841- 3 8.00000+ 0 2.70000+ 1 4.42596- 5 8.98983- 3 8.00000+ 0 2.90000+ 1 4.74938- 4 9.02043- 3 8.00000+ 0 3.00000+ 1 6.07157- 5 9.03200- 3 8.00000+ 0 3.20000+ 1 2.55352- 5 9.07188- 3 8.00000+ 0 3.30000+ 1 2.83718- 6 9.07290- 3 1.00000+ 1 1.00000+ 1 2.22804- 2 6.63820- 3 1.00000+ 1 1.10000+ 1 6.03823- 2 6.95510- 3 1.00000+ 1 1.30000+ 1 3.17984- 2 7.35380- 3 1.00000+ 1 1.40000+ 1 4.79705- 2 7.42290- 3 1.00000+ 1 1.60000+ 1 5.37030- 3 8.69977- 3 1.00000+ 1 1.80000+ 1 8.72404- 3 8.79877- 3 1.00000+ 1 1.90000+ 1 1.35133- 2 8.87301- 3 1.00000+ 1 2.10000+ 1 6.40323- 3 9.03734- 3 1.00000+ 1 2.20000+ 1 9.60487- 3 9.05106- 3 1.00000+ 1 2.40000+ 1 4.14808- 4 9.25996- 3 1.00000+ 1 2.50000+ 1 3.75640- 4 9.26261- 3 1.00000+ 1 2.70000+ 1 9.78822- 4 9.22403- 3 1.00000+ 1 2.90000+ 1 1.30856- 3 9.25463- 3 1.00000+ 1 3.00000+ 1 1.98041- 3 9.26620- 3 1.00000+ 1 3.20000+ 1 4.22189- 4 9.30608- 3 1.00000+ 1 3.30000+ 1 9.98754- 5 9.30710- 3 1.10000+ 1 1.10000+ 1 1.45320- 3 7.27200- 3 1.10000+ 1 1.30000+ 1 3.16073- 2 7.67070- 3 1.10000+ 1 1.40000+ 1 4.46111- 3 7.73980- 3 1.10000+ 1 1.60000+ 1 4.33520- 4 9.01667- 3 1.10000+ 1 1.80000+ 1 9.53603- 3 9.11567- 3 1.10000+ 1 1.90000+ 1 5.54943- 4 9.18991- 3 1.10000+ 1 2.10000+ 1 5.35264- 3 9.35424- 3 1.10000+ 1 2.20000+ 1 7.20647- 4 9.36796- 3 1.10000+ 1 2.40000+ 1 1.98034- 4 9.57686- 3 1.10000+ 1 2.50000+ 1 1.07246- 4 9.57951- 3 1.10000+ 1 2.70000+ 1 7.66040- 5 9.54093- 3 1.10000+ 1 2.90000+ 1 1.36695- 3 9.57153- 3 1.10000+ 1 3.00000+ 1 7.88732- 5 9.58310- 3 1.10000+ 1 3.20000+ 1 3.43877- 4 9.62298- 3 1.10000+ 1 3.30000+ 1 7.37666- 6 9.62400- 3 1.30000+ 1 1.30000+ 1 2.96774- 2 8.06940- 3 1.30000+ 1 1.40000+ 1 1.20433- 1 8.13850- 3 1.30000+ 1 1.60000+ 1 7.13821- 4 9.41537- 3 1.30000+ 1 1.80000+ 1 4.91070- 3 9.51437- 3 1.30000+ 1 1.90000+ 1 6.57440- 3 9.58861- 3 1.30000+ 1 2.10000+ 1 9.97434- 3 9.75294- 3 1.30000+ 1 2.20000+ 1 2.17571- 2 9.76666- 3 1.30000+ 1 2.40000+ 1 1.55366- 3 9.97556- 3 1.30000+ 1 2.50000+ 1 3.16024- 3 9.97821- 3 1.30000+ 1 2.70000+ 1 1.30514- 4 9.93963- 3 1.30000+ 1 2.90000+ 1 7.06492- 4 9.97023- 3 1.30000+ 1 3.00000+ 1 9.51073- 4 9.98180- 3 1.30000+ 1 3.20000+ 1 6.42921- 4 1.00217- 2 1.30000+ 1 3.30000+ 1 2.22451- 4 1.00227- 2 1.40000+ 1 1.40000+ 1 5.82090- 3 8.20760- 3 1.40000+ 1 1.60000+ 1 4.52259- 4 9.48447- 3 1.40000+ 1 1.80000+ 1 6.54557- 3 9.58347- 3 1.40000+ 1 1.90000+ 1 8.52266- 4 9.65771- 3 1.40000+ 1 2.10000+ 1 1.66772- 2 9.82204- 3 1.40000+ 1 2.20000+ 1 1.90951- 3 9.83576- 3 1.40000+ 1 2.40000+ 1 6.23048- 4 1.00447- 2 1.40000+ 1 2.50000+ 1 2.39460- 4 1.00473- 2 1.40000+ 1 2.70000+ 1 7.88756- 5 1.00087- 2 1.40000+ 1 2.90000+ 1 9.11910- 4 1.00393- 2 1.40000+ 1 3.00000+ 1 1.21436- 4 1.00509- 2 1.40000+ 1 3.20000+ 1 1.04185- 3 1.00908- 2 1.40000+ 1 3.30000+ 1 1.92930- 5 1.00918- 2 1.60000+ 1 1.60000+ 1 2.32645- 5 1.07613- 2 1.60000+ 1 1.80000+ 1 8.30724- 4 1.08603- 2 1.60000+ 1 1.90000+ 1 8.85174- 5 1.09346- 2 1.60000+ 1 2.10000+ 1 9.87371- 5 1.10989- 2 1.60000+ 1 2.20000+ 1 5.50405- 5 1.11126- 2 1.60000+ 1 2.40000+ 1 1.92924- 5 1.13215- 2 1.60000+ 1 2.50000+ 1 1.02145- 5 1.13242- 2 1.60000+ 1 2.70000+ 1 7.94406- 6 1.12856- 2 1.60000+ 1 2.90000+ 1 1.18591- 4 1.13162- 2 1.60000+ 1 3.00000+ 1 1.30509- 5 1.13278- 2 1.60000+ 1 3.20000+ 1 6.24185- 6 1.13676- 2 1.60000+ 1 3.30000+ 1 5.67434- 7 1.13687- 2 1.80000+ 1 1.80000+ 1 8.11429- 4 1.09593- 2 1.80000+ 1 1.90000+ 1 2.13639- 3 1.10336- 2 1.80000+ 1 2.10000+ 1 9.73119- 4 1.11979- 2 1.80000+ 1 2.20000+ 1 1.32268- 3 1.12116- 2 1.80000+ 1 2.40000+ 1 5.22042- 5 1.14205- 2 1.80000+ 1 2.50000+ 1 3.85850- 5 1.14232- 2 1.80000+ 1 2.70000+ 1 1.51506- 4 1.13846- 2 1.80000+ 1 2.90000+ 1 2.41172- 4 1.14152- 2 1.80000+ 1 3.00000+ 1 3.13214- 4 1.14268- 2 1.80000+ 1 3.20000+ 1 6.41197- 5 1.14666- 2 1.80000+ 1 3.30000+ 1 1.36184- 5 1.14677- 2 1.90000+ 1 1.90000+ 1 5.33375- 5 1.11078- 2 1.90000+ 1 2.10000+ 1 1.12293- 3 1.12721- 2 1.90000+ 1 2.20000+ 1 1.40718- 4 1.12859- 2 1.90000+ 1 2.40000+ 1 3.40436- 5 1.14948- 2 1.90000+ 1 2.50000+ 1 1.70228- 5 1.14974- 2 1.90000+ 1 2.70000+ 1 1.58882- 5 1.14588- 2 1.90000+ 1 2.90000+ 1 3.06418- 4 1.14894- 2 1.90000+ 1 3.00000+ 1 1.53209- 5 1.15010- 2 1.90000+ 1 3.20000+ 1 7.20632- 5 1.15409- 2 1.90000+ 1 3.30000+ 1 1.13488- 6 1.15419- 2 2.10000+ 1 2.10000+ 1 8.28450- 4 1.14365- 2 2.10000+ 1 2.20000+ 1 3.13505- 3 1.14502- 2 2.10000+ 1 2.40000+ 1 1.78748- 4 1.16591- 2 2.10000+ 1 2.50000+ 1 3.68269- 4 1.16617- 2 2.10000+ 1 2.70000+ 1 1.81579- 5 1.16232- 2 2.10000+ 1 2.90000+ 1 1.39587- 4 1.16538- 2 2.10000+ 1 3.00000+ 1 1.62852- 4 1.16653- 2 2.10000+ 1 3.20000+ 1 1.06684- 4 1.17052- 2 2.10000+ 1 3.30000+ 1 3.23436- 5 1.17062- 2 2.20000+ 1 2.20000+ 1 1.75525- 4 1.14639- 2 2.20000+ 1 2.40000+ 1 8.64979- 5 1.16728- 2 2.20000+ 1 2.50000+ 1 3.40951- 5 1.16755- 2 2.20000+ 1 2.70000+ 1 1.07330- 5 1.16369- 2 2.20000+ 1 2.90000+ 1 2.05199- 4 1.16675- 2 2.20000+ 1 3.00000+ 1 2.20974- 5 1.16791- 2 2.20000+ 1 3.20000+ 1 2.19086- 4 1.17189- 2 2.20000+ 1 3.30000+ 1 3.78803- 6 1.17200- 2 2.40000+ 1 2.40000+ 1 4.03126- 6 1.18817- 2 2.40000+ 1 2.50000+ 1 2.82197- 5 1.18844- 2 2.40000+ 1 2.70000+ 1 4.03126- 6 1.18458- 2 2.40000+ 1 2.90000+ 1 8.73486- 6 1.18764- 2 2.40000+ 1 3.00000+ 1 5.37534- 6 1.18880- 2 2.40000+ 1 3.20000+ 1 1.27669- 5 1.19278- 2 2.40000+ 1 3.30000+ 1 6.71911- 7 1.19289- 2 2.50000+ 1 2.50000+ 1 2.09520- 6 1.18870- 2 2.50000+ 1 2.70000+ 1 2.09520- 6 1.18484- 2 2.50000+ 1 2.90000+ 1 6.28557- 6 1.18790- 2 2.50000+ 1 3.00000+ 1 2.79356- 6 1.18906- 2 2.50000+ 1 3.20000+ 1 2.79356- 5 1.19305- 2 2.50000+ 1 3.30000+ 1 6.98394- 7 1.19315- 2 2.70000+ 1 2.70000+ 1 7.65854- 7 1.18099- 2 2.70000+ 1 2.90000+ 1 2.91026- 5 1.18405- 2 2.70000+ 1 3.00000+ 1 3.06340- 6 1.18520- 2 2.70000+ 1 3.20000+ 1 1.53175- 6 1.18919- 2 2.90000+ 1 2.90000+ 1 2.71362- 5 1.18711- 2 2.90000+ 1 3.00000+ 1 6.69908- 5 1.18826- 2 2.90000+ 1 3.20000+ 1 1.35678- 5 1.19225- 2 2.90000+ 1 3.30000+ 1 2.54405- 6 1.19235- 2 3.00000+ 1 3.00000+ 1 1.32854- 6 1.18942- 2 3.00000+ 1 3.20000+ 1 1.19573- 5 1.19341- 2 3.20000+ 1 3.20000+ 1 3.40447- 6 1.19740- 2 3.20000+ 1 3.30000+ 1 2.83716- 6 1.19750- 2 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.29250- 2 7.62640- 3 1.00000+ 1 1.13550- 4 7.86060- 3 1.10000+ 1 1.02810- 4 8.17750- 3 1.30000+ 1 2.20981- 2 8.57620- 3 1.40000+ 1 1.94931- 1 8.64530- 3 1.60000+ 1 2.47281- 3 9.92217- 3 1.80000+ 1 2.42861- 5 1.00212- 2 1.90000+ 1 2.40311- 5 1.00954- 2 2.10000+ 1 3.88941- 3 1.02597- 2 2.20000+ 1 3.49331- 2 1.02735- 2 2.40000+ 1 1.96281- 5 1.04824- 2 2.50000+ 1 1.10160- 4 1.04850- 2 2.70000+ 1 5.04352- 4 1.04464- 2 2.90000+ 1 5.15932- 6 1.04770- 2 3.00000+ 1 4.92282- 6 1.04886- 2 3.20000+ 1 1.48611- 4 1.05285- 2 3.30000+ 1 1.27200- 3 1.05295- 2 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 8.98224- 4 4.71480- 3 8.00000+ 0 1.00000+ 1 4.97972- 4 4.94900- 3 8.00000+ 0 1.10000+ 1 2.31996- 2 5.26590- 3 8.00000+ 0 1.30000+ 1 2.64697- 3 5.66460- 3 8.00000+ 0 1.40000+ 1 3.94886- 3 5.73370- 3 8.00000+ 0 1.60000+ 1 3.38131- 4 7.01057- 3 8.00000+ 0 1.80000+ 1 8.79794- 5 7.10957- 3 8.00000+ 0 1.90000+ 1 3.50028- 3 7.18381- 3 8.00000+ 0 2.10000+ 1 2.57037- 4 7.34814- 3 8.00000+ 0 2.20000+ 1 3.46172- 4 7.36186- 3 8.00000+ 0 2.40000+ 1 1.69634- 4 7.57076- 3 8.00000+ 0 2.50000+ 1 3.04193- 4 7.57341- 3 8.00000+ 0 2.70000+ 1 5.86543- 5 7.53483- 3 8.00000+ 0 2.90000+ 1 1.26516- 5 7.56543- 3 8.00000+ 0 3.00000+ 1 4.77851- 4 7.57700- 3 8.00000+ 0 3.20000+ 1 1.55262- 5 7.61688- 3 8.00000+ 0 3.30000+ 1 3.45015- 6 7.61790- 3 1.00000+ 1 1.00000+ 1 8.97061- 5 5.18320- 3 1.00000+ 1 1.10000+ 1 3.89540- 2 5.50010- 3 1.00000+ 1 1.30000+ 1 2.02133- 3 5.89880- 3 1.00000+ 1 1.40000+ 1 1.77726- 2 5.96790- 3 1.00000+ 1 1.60000+ 1 1.00629- 4 7.24477- 3 1.00000+ 1 1.80000+ 1 3.62274- 5 7.34377- 3 1.00000+ 1 1.90000+ 1 6.09991- 3 7.41801- 3 1.00000+ 1 2.10000+ 1 3.65153- 4 7.58234- 3 1.00000+ 1 2.20000+ 1 2.66648- 3 7.59606- 3 1.00000+ 1 2.40000+ 1 1.75964- 4 7.80496- 3 1.00000+ 1 2.50000+ 1 4.54267- 4 7.80761- 3 1.00000+ 1 2.70000+ 1 1.78259- 5 7.76903- 3 1.00000+ 1 2.90000+ 1 5.75046- 6 7.79963- 3 1.00000+ 1 3.00000+ 1 8.38422- 4 7.81120- 3 1.00000+ 1 3.20000+ 1 2.35759- 5 7.85108- 3 1.00000+ 1 3.30000+ 1 2.64514- 5 7.85210- 3 1.10000+ 1 1.10000+ 1 5.07007- 2 5.81700- 3 1.10000+ 1 1.30000+ 1 5.29551- 2 6.21570- 3 1.10000+ 1 1.40000+ 1 7.40638- 2 6.28480- 3 1.10000+ 1 1.60000+ 1 5.68421- 3 7.56167- 3 1.10000+ 1 1.80000+ 1 8.52696- 3 7.66067- 3 1.10000+ 1 1.90000+ 1 1.91590- 2 7.73491- 3 1.10000+ 1 2.10000+ 1 1.00959- 2 7.89924- 3 1.10000+ 1 2.20000+ 1 1.38722- 2 7.91296- 3 1.10000+ 1 2.40000+ 1 7.18203- 4 8.12186- 3 1.10000+ 1 2.50000+ 1 9.02195- 4 8.12451- 3 1.10000+ 1 2.70000+ 1 1.03334- 3 8.08593- 3 1.10000+ 1 2.90000+ 1 1.30075- 3 8.11653- 3 1.10000+ 1 3.00000+ 1 2.73476- 3 8.12810- 3 1.10000+ 1 3.20000+ 1 6.61267- 4 8.16798- 3 1.10000+ 1 3.30000+ 1 1.42606- 4 8.16900- 3 1.30000+ 1 1.30000+ 1 7.50118- 3 6.61440- 3 1.30000+ 1 1.40000+ 1 1.41084- 1 6.68350- 3 1.30000+ 1 1.60000+ 1 6.20478- 4 7.96037- 3 1.30000+ 1 1.80000+ 1 4.54282- 4 8.05937- 3 1.30000+ 1 1.90000+ 1 7.60203- 3 8.13361- 3 1.30000+ 1 2.10000+ 1 2.45842- 3 8.29794- 3 1.30000+ 1 2.20000+ 1 1.93574- 2 8.31166- 3 1.30000+ 1 2.40000+ 1 4.02526- 4 8.52056- 3 1.30000+ 1 2.50000+ 1 1.37158- 3 8.52321- 3 1.30000+ 1 2.70000+ 1 1.12137- 4 8.48463- 3 1.30000+ 1 2.90000+ 1 6.95817- 5 8.51523- 3 1.30000+ 1 3.00000+ 1 1.02877- 3 8.52680- 3 1.30000+ 1 3.20000+ 1 1.58134- 4 8.56668- 3 1.30000+ 1 3.30000+ 1 1.90343- 4 8.56770- 3 1.40000+ 1 1.40000+ 1 9.44378- 2 6.75260- 3 1.40000+ 1 1.60000+ 1 9.55118- 4 8.02947- 3 1.40000+ 1 1.80000+ 1 3.55257- 3 8.12847- 3 1.40000+ 1 1.90000+ 1 1.19992- 2 8.20271- 3 1.40000+ 1 2.10000+ 1 2.33855- 2 8.36704- 3 1.40000+ 1 2.20000+ 1 2.95160- 2 8.38076- 3 1.40000+ 1 2.40000+ 1 4.27471- 3 8.58966- 3 1.40000+ 1 2.50000+ 1 3.90382- 3 8.59231- 3 1.40000+ 1 2.70000+ 1 1.74231- 4 8.55373- 3 1.40000+ 1 2.90000+ 1 5.33051- 4 8.58433- 3 1.40000+ 1 3.00000+ 1 1.66935- 3 8.59590- 3 1.40000+ 1 3.20000+ 1 1.50257- 3 8.63578- 3 1.40000+ 1 3.30000+ 1 2.96720- 4 8.63680- 3 1.60000+ 1 1.60000+ 1 3.22037- 5 9.30634- 3 1.60000+ 1 1.80000+ 1 1.84023- 5 9.40534- 3 1.60000+ 1 1.90000+ 1 8.57968- 4 9.47958- 3 1.60000+ 1 2.10000+ 1 6.55557- 5 9.64391- 3 1.60000+ 1 2.20000+ 1 9.08557- 5 9.65763- 3 1.60000+ 1 2.40000+ 1 2.35767- 5 9.86653- 3 1.60000+ 1 2.50000+ 1 4.77302- 5 9.86918- 3 1.60000+ 1 2.70000+ 1 1.09259- 5 9.83060- 3 1.60000+ 1 2.90000+ 1 2.87522- 6 9.86120- 3 1.60000+ 1 3.00000+ 1 1.17311- 4 9.87277- 3 1.60000+ 1 3.20000+ 1 4.02528- 6 9.91265- 3 1.60000+ 1 3.30000+ 1 5.75066- 7 9.91367- 3 1.80000+ 1 1.80000+ 1 2.87515- 6 9.50434- 3 1.80000+ 1 1.90000+ 1 1.32888- 3 9.57858- 3 1.80000+ 1 2.10000+ 1 7.82038- 5 9.74291- 3 1.80000+ 1 2.20000+ 1 5.61827- 4 9.75663- 3 1.80000+ 1 2.40000+ 1 2.53024- 5 9.96553- 3 1.80000+ 1 2.50000+ 1 6.26806- 5 9.96818- 3 1.80000+ 1 2.70000+ 1 3.45018- 6 9.92960- 3 1.80000+ 1 2.90000+ 1 5.75052- 7 9.96020- 3 1.80000+ 1 3.00000+ 1 1.82287- 4 9.97177- 3 1.80000+ 1 3.20000+ 1 5.17541- 6 1.00116- 2 1.80000+ 1 3.30000+ 1 5.75052- 6 1.00127- 2 1.90000+ 1 1.90000+ 1 1.73488- 3 9.65282- 3 1.90000+ 1 2.10000+ 1 1.45196- 3 9.81715- 3 1.90000+ 1 2.20000+ 1 2.21326- 3 9.83087- 3 1.90000+ 1 2.40000+ 1 8.51044- 5 1.00398- 2 1.90000+ 1 2.50000+ 1 1.12707- 4 1.00424- 2 1.90000+ 1 2.70000+ 1 1.55834- 4 1.00038- 2 1.90000+ 1 2.90000+ 1 2.02415- 4 1.00344- 2 1.90000+ 1 3.00000+ 1 4.91659- 4 1.00460- 2 1.90000+ 1 3.20000+ 1 9.48814- 5 1.00859- 2 1.90000+ 1 3.30000+ 1 2.24255- 5 1.00869- 2 2.10000+ 1 2.10000+ 1 1.93789- 4 9.98148- 3 2.10000+ 1 2.20000+ 1 3.34095- 3 9.99520- 3 2.10000+ 1 2.40000+ 1 4.42774- 5 1.02041- 2 2.10000+ 1 2.50000+ 1 1.45478- 4 1.02067- 2 2.10000+ 1 2.70000+ 1 1.20759- 5 1.01682- 2 2.10000+ 1 2.90000+ 1 1.20759- 5 1.01988- 2 2.10000+ 1 3.00000+ 1 1.96668- 4 1.02103- 2 2.10000+ 1 3.20000+ 1 2.47274- 5 1.02502- 2 2.10000+ 1 3.30000+ 1 3.27773- 5 1.02512- 2 2.20000+ 1 2.20000+ 1 2.57448- 3 1.00089- 2 2.20000+ 1 2.40000+ 1 5.12960- 4 1.02178- 2 2.20000+ 1 2.50000+ 1 4.61862- 4 1.02205- 2 2.20000+ 1 2.70000+ 1 1.85262- 5 1.01819- 2 2.20000+ 1 2.90000+ 1 9.45440- 5 1.02125- 2 2.20000+ 1 3.00000+ 1 3.41140- 4 1.02241- 2 2.20000+ 1 3.20000+ 1 2.39558- 4 1.02639- 2 2.20000+ 1 3.30000+ 1 5.17455- 5 1.02650- 2 2.40000+ 1 2.40000+ 1 1.89115- 6 1.04267- 2 2.40000+ 1 2.50000+ 1 6.99706- 5 1.04294- 2 2.40000+ 1 2.70000+ 1 6.61857- 6 1.03908- 2 2.40000+ 1 2.90000+ 1 5.67309- 6 1.04214- 2 2.40000+ 1 3.00000+ 1 1.79649- 5 1.04330- 2 2.40000+ 1 3.20000+ 1 4.72759- 6 1.04728- 2 2.40000+ 1 3.30000+ 1 7.56455- 6 1.04739- 2 2.50000+ 1 2.50000+ 1 1.83199- 5 1.04320- 2 2.50000+ 1 2.70000+ 1 9.86409- 6 1.03934- 2 2.50000+ 1 2.90000+ 1 1.05692- 5 1.04240- 2 2.50000+ 1 3.00000+ 1 1.83199- 5 1.04356- 2 2.50000+ 1 3.20000+ 1 1.05692- 5 1.04755- 2 2.50000+ 1 3.30000+ 1 4.93198- 6 1.04765- 2 2.70000+ 1 2.70000+ 1 1.94581- 6 1.03549- 2 2.70000+ 1 2.90000+ 1 9.72883- 7 1.03855- 2 2.70000+ 1 3.00000+ 1 3.59956- 5 1.03970- 2 2.70000+ 1 3.20000+ 1 9.72883- 7 1.04369- 2 2.90000+ 1 3.00000+ 1 6.63832- 5 1.04276- 2 2.90000+ 1 3.20000+ 1 1.38305- 6 1.04675- 2 2.90000+ 1 3.30000+ 1 1.38305- 6 1.04685- 2 3.00000+ 1 3.00000+ 1 1.06633- 4 1.04392- 2 3.00000+ 1 3.20000+ 1 3.91018- 5 1.04791- 2 3.00000+ 1 3.30000+ 1 8.88607- 6 1.04801- 2 3.20000+ 1 3.20000+ 1 5.75037- 7 1.05190- 2 3.20000+ 1 3.30000+ 1 2.87508- 6 1.05200- 2 3.30000+ 1 3.30000+ 1 1.72521- 6 1.05210- 2 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.00129- 5 2.34200- 4 1.10000+ 1 2.74692- 4 5.51100- 4 1.80000+ 1 1.02578- 3 2.39477- 3 1.90000+ 1 9.49777- 4 2.46901- 3 2.90000+ 1 2.25847- 4 2.85063- 3 3.00000+ 1 2.07090- 4 2.86220- 3 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 3.88918- 2 1.78560- 4 1.00000+ 1 2.50000+ 1 5.21444- 2 1.81210- 4 1.00000+ 1 2.70000+ 1 1.01836- 2 1.42630- 4 1.00000+ 1 2.90000+ 1 9.21164- 3 1.73230- 4 1.00000+ 1 3.00000+ 1 1.27420- 2 1.84800- 4 1.00000+ 1 3.20000+ 1 1.95654- 3 2.24680- 4 1.00000+ 1 3.30000+ 1 2.57470- 3 2.25700- 4 1.00000+ 1 4.10000+ 1 8.98990- 4 2.26140- 4 1.10000+ 1 1.80000+ 1 6.39796- 2 3.42700- 5 1.10000+ 1 1.90000+ 1 7.36148- 2 1.08510- 4 1.10000+ 1 2.10000+ 1 2.72127- 2 2.72840- 4 1.10000+ 1 2.20000+ 1 4.11813- 2 2.86560- 4 1.10000+ 1 2.40000+ 1 1.56829- 1 4.95460- 4 1.10000+ 1 2.50000+ 1 1.95586- 1 4.98110- 4 1.10000+ 1 2.70000+ 1 1.01913- 2 4.59530- 4 1.10000+ 1 2.90000+ 1 9.16528- 3 4.90130- 4 1.10000+ 1 3.00000+ 1 1.05940- 2 5.01700- 4 1.10000+ 1 3.20000+ 1 8.20455- 4 5.41580- 4 1.10000+ 1 3.30000+ 1 1.22929- 3 5.42600- 4 1.10000+ 1 4.10000+ 1 9.17347- 4 5.43040- 4 1.30000+ 1 1.60000+ 1 2.60853- 2 3.33970- 4 1.30000+ 1 1.80000+ 1 5.77876- 3 4.32970- 4 1.30000+ 1 1.90000+ 1 6.13924- 3 5.07210- 4 1.30000+ 1 2.10000+ 1 8.82167- 3 6.71540- 4 1.30000+ 1 2.20000+ 1 1.09854- 2 6.85260- 4 1.30000+ 1 2.40000+ 1 8.06784- 3 8.94160- 4 1.30000+ 1 2.50000+ 1 7.46172- 3 8.96810- 4 1.30000+ 1 2.70000+ 1 3.13717- 3 8.58230- 4 1.30000+ 1 2.90000+ 1 6.97750- 4 8.88830- 4 1.30000+ 1 3.00000+ 1 6.96391- 4 9.00400- 4 1.30000+ 1 3.20000+ 1 2.49724- 4 9.40280- 4 1.30000+ 1 3.30000+ 1 3.14189- 4 9.41300- 4 1.30000+ 1 4.10000+ 1 2.68986- 4 9.41740- 4 1.40000+ 1 1.60000+ 1 3.70237- 2 4.03070- 4 1.40000+ 1 1.80000+ 1 1.06571- 3 5.02070- 4 1.40000+ 1 1.90000+ 1 1.11852- 2 5.76310- 4 1.40000+ 1 2.10000+ 1 1.21614- 2 7.40640- 4 1.40000+ 1 2.20000+ 1 1.76928- 2 7.54360- 4 1.40000+ 1 2.40000+ 1 9.15100- 3 9.63260- 4 1.40000+ 1 2.50000+ 1 1.43228- 2 9.65910- 4 1.40000+ 1 2.70000+ 1 4.39380- 3 9.27330- 4 1.40000+ 1 2.90000+ 1 1.41687- 4 9.57930- 4 1.40000+ 1 3.00000+ 1 1.26096- 3 9.69500- 4 1.40000+ 1 3.20000+ 1 3.69187- 4 1.00938- 3 1.40000+ 1 3.30000+ 1 4.89818- 4 1.01040- 3 1.40000+ 1 4.10000+ 1 3.76443- 4 1.01084- 3 1.60000+ 1 1.60000+ 1 3.05940- 3 1.67994- 3 1.60000+ 1 1.80000+ 1 5.26351- 3 1.77894- 3 1.60000+ 1 1.90000+ 1 8.93240- 3 1.85318- 3 1.60000+ 1 2.10000+ 1 1.00447- 2 2.01751- 3 1.60000+ 1 2.20000+ 1 1.42503- 2 2.03123- 3 1.60000+ 1 2.40000+ 1 6.20728- 3 2.24013- 3 1.60000+ 1 2.50000+ 1 7.82028- 3 2.24278- 3 1.60000+ 1 2.70000+ 1 9.16458- 4 2.20420- 3 1.60000+ 1 2.90000+ 1 8.06478- 4 2.23480- 3 1.60000+ 1 3.00000+ 1 1.30882- 3 2.24637- 3 1.60000+ 1 3.20000+ 1 3.30759- 4 2.28625- 3 1.60000+ 1 3.30000+ 1 4.43972- 4 2.28727- 3 1.60000+ 1 4.10000+ 1 8.17072- 5 2.28771- 3 1.80000+ 1 1.80000+ 1 2.32499- 4 1.87794- 3 1.80000+ 1 1.90000+ 1 6.36420- 4 1.95218- 3 1.80000+ 1 2.10000+ 1 3.45742- 4 2.11651- 3 1.80000+ 1 2.20000+ 1 1.97766- 4 2.13023- 3 1.80000+ 1 2.40000+ 1 5.98590- 5 2.33913- 3 1.80000+ 1 2.50000+ 1 4.44868- 4 2.34178- 3 1.80000+ 1 2.70000+ 1 5.99307- 4 2.30320- 3 1.80000+ 1 2.90000+ 1 5.50716- 5 2.33380- 3 1.80000+ 1 3.00000+ 1 7.11134- 5 2.34537- 3 1.80000+ 1 3.20000+ 1 1.02961- 5 2.38525- 3 1.80000+ 1 3.30000+ 1 7.18312- 6 2.38627- 3 1.80000+ 1 4.10000+ 1 5.12404- 5 2.38671- 3 1.90000+ 1 1.90000+ 1 7.80072- 4 2.02642- 3 1.90000+ 1 2.10000+ 1 6.34727- 4 2.19075- 3 1.90000+ 1 2.20000+ 1 1.49262- 3 2.20447- 3 1.90000+ 1 2.40000+ 1 5.21252- 4 2.41337- 3 1.90000+ 1 2.50000+ 1 9.52692- 4 2.41602- 3 1.90000+ 1 2.70000+ 1 1.02194- 3 2.37744- 3 1.90000+ 1 2.90000+ 1 8.26060- 5 2.40804- 3 1.90000+ 1 3.00000+ 1 1.92982- 4 2.41961- 3 1.90000+ 1 3.20000+ 1 2.13112- 5 2.45949- 3 1.90000+ 1 3.30000+ 1 4.47739- 5 2.46051- 3 1.90000+ 1 4.10000+ 1 8.76330- 5 2.46095- 3 2.10000+ 1 2.10000+ 1 1.16619- 4 2.35508- 3 2.10000+ 1 2.20000+ 1 5.26297- 4 2.36880- 3 2.10000+ 1 2.40000+ 1 4.57467- 4 2.57770- 3 2.10000+ 1 2.50000+ 1 3.27064- 3 2.58035- 3 2.10000+ 1 2.70000+ 1 1.17795- 3 2.54177- 3 2.10000+ 1 2.90000+ 1 3.82892- 5 2.57237- 3 2.10000+ 1 3.00000+ 1 7.73287- 5 2.58394- 3 2.10000+ 1 3.20000+ 1 6.25637- 6 2.62382- 3 2.10000+ 1 3.30000+ 1 1.42645- 5 2.62484- 3 2.10000+ 1 4.10000+ 1 1.00607- 4 2.62528- 3 2.20000+ 1 2.20000+ 1 2.97493- 4 2.38252- 3 2.20000+ 1 2.40000+ 1 3.02596- 3 2.59142- 3 2.20000+ 1 2.50000+ 1 1.76887- 3 2.59407- 3 2.20000+ 1 2.70000+ 1 1.61404- 3 2.55549- 3 2.20000+ 1 2.90000+ 1 2.32566- 5 2.58609- 3 2.20000+ 1 3.00000+ 1 1.74178- 4 2.59766- 3 2.20000+ 1 3.20000+ 1 1.38081- 5 2.63754- 3 2.20000+ 1 3.30000+ 1 1.57465- 5 2.63856- 3 2.20000+ 1 4.10000+ 1 1.37601- 4 2.63900- 3 2.40000+ 1 2.40000+ 1 5.16448- 4 2.80032- 3 2.40000+ 1 2.50000+ 1 3.61372- 3 2.80297- 3 2.40000+ 1 2.70000+ 1 6.45274- 4 2.76439- 3 2.40000+ 1 2.90000+ 1 6.46473- 6 2.79499- 3 2.40000+ 1 3.00000+ 1 4.71689- 5 2.80656- 3 2.40000+ 1 3.20000+ 1 1.31691- 5 2.84644- 3 2.40000+ 1 3.30000+ 1 9.24196- 5 2.84746- 3 2.40000+ 1 4.10000+ 1 5.45903- 5 2.84790- 3 2.50000+ 1 2.50000+ 1 1.22202- 3 2.80562- 3 2.50000+ 1 2.70000+ 1 8.15531- 4 2.76704- 3 2.50000+ 1 2.90000+ 1 6.15683- 5 2.79764- 3 2.50000+ 1 3.00000+ 1 9.06650- 5 2.80921- 3 2.50000+ 1 3.20000+ 1 1.00767- 4 2.84909- 3 2.50000+ 1 3.30000+ 1 5.29097- 5 2.85011- 3 2.50000+ 1 4.10000+ 1 6.90244- 5 2.85055- 3 2.70000+ 1 2.70000+ 1 9.98271- 5 2.72846- 3 2.70000+ 1 2.90000+ 1 1.47629- 4 2.75906- 3 2.70000+ 1 3.00000+ 1 2.39429- 4 2.77063- 3 2.70000+ 1 3.20000+ 1 5.96645- 5 2.81051- 3 2.70000+ 1 3.30000+ 1 7.99347- 5 2.81153- 3 2.70000+ 1 4.10000+ 1 1.75937- 5 2.81197- 3 2.90000+ 1 2.90000+ 1 6.20342- 6 2.78966- 3 2.90000+ 1 3.00000+ 1 1.81324- 5 2.80123- 3 2.90000+ 1 3.20000+ 1 2.38584- 6 2.84111- 3 2.90000+ 1 3.30000+ 1 1.90865- 6 2.84213- 3 2.90000+ 1 4.10000+ 1 1.57465- 5 2.84257- 3 3.00000+ 1 3.00000+ 1 2.85363- 5 2.81280- 3 3.00000+ 1 3.20000+ 1 5.82392- 6 2.85268- 3 3.00000+ 1 3.30000+ 1 1.28122- 5 2.85370- 3 3.00000+ 1 4.10000+ 1 3.14487- 5 2.85414- 3 3.20000+ 1 3.30000+ 1 4.78883- 7 2.89358- 3 3.20000+ 1 4.10000+ 1 3.11274- 6 2.89402- 3 3.30000+ 1 3.30000+ 1 2.39436- 7 2.89460- 3 3.30000+ 1 4.10000+ 1 4.30984- 6 2.89504- 3 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 7.95538- 4 7.15600- 4 1.60000+ 1 6.33628- 4 2.06157- 3 2.10000+ 1 3.34979- 3 2.39914- 3 2.70000+ 1 1.25580- 4 2.58583- 3 3.20000+ 1 1.48320- 4 2.66788- 3 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 6.91305- 3 3.86400- 5 1.10000+ 1 2.20000+ 1 1.70920- 2 5.23600- 5 1.10000+ 1 2.40000+ 1 2.75651- 2 2.61260- 4 1.10000+ 1 2.50000+ 1 2.69707- 2 2.63910- 4 1.10000+ 1 2.70000+ 1 3.20055- 3 2.25330- 4 1.10000+ 1 2.90000+ 1 3.72159- 3 2.55930- 4 1.10000+ 1 3.00000+ 1 2.91677- 3 2.67500- 4 1.10000+ 1 3.20000+ 1 2.44432- 4 3.07380- 4 1.10000+ 1 3.30000+ 1 5.51840- 4 3.08400- 4 1.10000+ 1 4.10000+ 1 2.75634- 4 3.08840- 4 1.30000+ 1 1.60000+ 1 5.30999- 2 9.97700- 5 1.30000+ 1 1.80000+ 1 5.35178- 2 1.98770- 4 1.30000+ 1 1.90000+ 1 5.74638- 2 2.73010- 4 1.30000+ 1 2.10000+ 1 2.12196- 2 4.37340- 4 1.30000+ 1 2.20000+ 1 2.50050- 2 4.51060- 4 1.30000+ 1 2.40000+ 1 1.34320- 1 6.59960- 4 1.30000+ 1 2.50000+ 1 2.05050- 1 6.62610- 4 1.30000+ 1 2.70000+ 1 9.59373- 3 6.24030- 4 1.30000+ 1 2.90000+ 1 7.07015- 3 6.54630- 4 1.30000+ 1 3.00000+ 1 8.12790- 3 6.66200- 4 1.30000+ 1 3.20000+ 1 7.06721- 4 7.06080- 4 1.30000+ 1 3.30000+ 1 8.38948- 4 7.07100- 4 1.30000+ 1 4.10000+ 1 8.64860- 4 7.07540- 4 1.40000+ 1 1.60000+ 1 8.70323- 3 1.68870- 4 1.40000+ 1 1.80000+ 1 6.09266- 2 2.67870- 4 1.40000+ 1 1.90000+ 1 5.44650- 3 3.42110- 4 1.40000+ 1 2.10000+ 1 9.82740- 4 5.06440- 4 1.40000+ 1 2.20000+ 1 2.96689- 3 5.20160- 4 1.40000+ 1 2.40000+ 1 4.86753- 3 7.29060- 4 1.40000+ 1 2.50000+ 1 3.57176- 3 7.31710- 4 1.40000+ 1 2.70000+ 1 1.05135- 3 6.93130- 4 1.40000+ 1 2.90000+ 1 6.40679- 3 7.23730- 4 1.40000+ 1 3.00000+ 1 6.98965- 4 7.35300- 4 1.40000+ 1 3.20000+ 1 1.99642- 5 7.75180- 4 1.40000+ 1 3.30000+ 1 8.66451- 5 7.76200- 4 1.40000+ 1 4.10000+ 1 9.07235- 5 7.76640- 4 1.60000+ 1 1.60000+ 1 8.44397- 4 1.44574- 3 1.60000+ 1 1.80000+ 1 1.19941- 2 1.54474- 3 1.60000+ 1 1.90000+ 1 1.75067- 3 1.61898- 3 1.60000+ 1 2.10000+ 1 3.88906- 4 1.78331- 3 1.60000+ 1 2.20000+ 1 1.39418- 3 1.79703- 3 1.60000+ 1 2.40000+ 1 4.65485- 5 2.00593- 3 1.60000+ 1 2.50000+ 1 8.97435- 4 2.00858- 3 1.60000+ 1 2.70000+ 1 2.38057- 4 1.97000- 3 1.60000+ 1 2.90000+ 1 1.21858- 3 2.00060- 3 1.60000+ 1 3.00000+ 1 2.32167- 4 2.01217- 3 1.60000+ 1 3.20000+ 1 1.00172- 5 2.05205- 3 1.60000+ 1 3.30000+ 1 4.06595- 5 2.05307- 3 1.60000+ 1 4.10000+ 1 2.12133- 5 2.05351- 3 1.80000+ 1 1.80000+ 1 9.09286- 3 1.64374- 3 1.80000+ 1 1.90000+ 1 2.61977- 2 1.71798- 3 1.80000+ 1 2.10000+ 1 2.54453- 2 1.88231- 3 1.80000+ 1 2.20000+ 1 4.09770- 2 1.89603- 3 1.80000+ 1 2.40000+ 1 1.29674- 2 2.10493- 3 1.80000+ 1 2.50000+ 1 2.20344- 2 2.10758- 3 1.80000+ 1 2.70000+ 1 2.15790- 3 2.06900- 3 1.80000+ 1 2.90000+ 1 2.35288- 3 2.09960- 3 1.80000+ 1 3.00000+ 1 3.81245- 3 2.11117- 3 1.80000+ 1 3.20000+ 1 8.39120- 4 2.15105- 3 1.80000+ 1 3.30000+ 1 1.26632- 3 2.15207- 3 1.80000+ 1 4.10000+ 1 1.96227- 4 2.15251- 3 1.90000+ 1 1.90000+ 1 7.19479- 4 1.79222- 3 1.90000+ 1 2.10000+ 1 1.86328- 3 1.95655- 3 1.90000+ 1 2.20000+ 1 1.55922- 3 1.97027- 3 1.90000+ 1 2.40000+ 1 9.15538- 3 2.17917- 3 1.90000+ 1 2.50000+ 1 2.54394- 3 2.18182- 3 1.90000+ 1 2.70000+ 1 2.08014- 4 2.14324- 3 1.90000+ 1 2.90000+ 1 2.72230- 3 2.17384- 3 1.90000+ 1 3.00000+ 1 1.77959- 4 2.18541- 3 1.90000+ 1 3.20000+ 1 5.06783- 5 2.22529- 3 1.90000+ 1 3.30000+ 1 4.30175- 5 2.22631- 3 1.90000+ 1 4.10000+ 1 1.76784- 5 2.22675- 3 2.10000+ 1 2.10000+ 1 8.55597- 4 2.12088- 3 2.10000+ 1 2.20000+ 1 2.32339- 3 2.13460- 3 2.10000+ 1 2.40000+ 1 1.06537- 3 2.34350- 3 2.10000+ 1 2.50000+ 1 1.94809- 3 2.34615- 3 2.10000+ 1 2.70000+ 1 6.48195- 5 2.30757- 3 2.10000+ 1 2.90000+ 1 2.57985- 3 2.33817- 3 2.10000+ 1 3.00000+ 1 2.39249- 4 2.34974- 3 2.10000+ 1 3.20000+ 1 4.77296- 5 2.38962- 3 2.10000+ 1 3.30000+ 1 6.71738- 5 2.39064- 3 2.10000+ 1 4.10000+ 1 5.89253- 6 2.39108- 3 2.20000+ 1 2.20000+ 1 5.60373- 4 2.14832- 3 2.20000+ 1 2.40000+ 1 3.30939- 3 2.35722- 3 2.20000+ 1 2.50000+ 1 7.25983- 4 2.35987- 3 2.20000+ 1 2.70000+ 1 2.00937- 4 2.32129- 3 2.20000+ 1 2.90000+ 1 4.21373- 3 2.35189- 3 2.20000+ 1 3.00000+ 1 1.78546- 4 2.36346- 3 2.20000+ 1 3.20000+ 1 6.65864- 5 2.40334- 3 2.20000+ 1 3.30000+ 1 3.00522- 5 2.40436- 3 2.20000+ 1 4.10000+ 1 1.76780- 5 2.40480- 3 2.40000+ 1 2.40000+ 1 2.80835- 3 2.56612- 3 2.40000+ 1 2.50000+ 1 1.81343- 2 2.56877- 3 2.40000+ 1 2.70000+ 1 2.94638- 6 2.53019- 3 2.40000+ 1 2.90000+ 1 1.21679- 3 2.56079- 3 2.40000+ 1 3.00000+ 1 1.25334- 3 2.57236- 3 2.40000+ 1 3.20000+ 1 3.82999- 5 2.61224- 3 2.40000+ 1 3.30000+ 1 1.11958- 4 2.61326- 3 2.50000+ 1 2.50000+ 1 9.49910- 4 2.57142- 3 2.50000+ 1 2.70000+ 1 1.36709- 4 2.53284- 3 2.50000+ 1 2.90000+ 1 2.04771- 3 2.56344- 3 2.50000+ 1 3.00000+ 1 3.14096- 4 2.57501- 3 2.50000+ 1 3.20000+ 1 6.54087- 5 2.61489- 3 2.50000+ 1 3.30000+ 1 2.29812- 5 2.61591- 3 2.50000+ 1 4.10000+ 1 1.23745- 5 2.61635- 3 2.70000+ 1 2.70000+ 1 2.00328- 5 2.49426- 3 2.70000+ 1 2.90000+ 1 2.67584- 4 2.52486- 3 2.70000+ 1 3.00000+ 1 3.36234- 5 2.53643- 3 2.70000+ 1 3.20000+ 1 2.14639- 6 2.57631- 3 2.70000+ 1 3.30000+ 1 7.15452- 6 2.57733- 3 2.70000+ 1 4.10000+ 1 3.57742- 6 2.57777- 3 2.90000+ 1 2.90000+ 1 2.35315- 4 2.55546- 3 2.90000+ 1 3.00000+ 1 6.48325- 4 2.56703- 3 2.90000+ 1 3.20000+ 1 1.39272- 4 2.60691- 3 2.90000+ 1 3.30000+ 1 2.13228- 4 2.60793- 3 2.90000+ 1 4.10000+ 1 3.26556- 5 2.60837- 3 3.00000+ 1 3.00000+ 1 4.43776- 5 2.57860- 3 3.00000+ 1 3.20000+ 1 2.56928- 5 2.61848- 3 3.00000+ 1 3.30000+ 1 1.86858- 5 2.61950- 3 3.00000+ 1 4.10000+ 1 9.34247- 6 2.61994- 3 3.20000+ 1 3.20000+ 1 5.89241- 7 2.65836- 3 3.20000+ 1 3.30000+ 1 1.76775- 6 2.65938- 3 3.30000+ 1 3.30000+ 1 5.32448- 7 2.66040- 3 3.30000+ 1 4.10000+ 1 5.32448- 7 2.66084- 3 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.65191- 5 3.98700- 4 1.40000+ 1 2.52006- 4 4.67800- 4 1.60000+ 1 1.06407- 3 1.74467- 3 2.10000+ 1 5.17077- 4 2.08224- 3 2.20000+ 1 4.05705- 3 2.09596- 3 2.70000+ 1 2.00810- 4 2.26893- 3 3.20000+ 1 2.18139- 5 2.35098- 3 3.30000+ 1 1.65882- 4 2.35200- 3 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.10000+ 1 1.02840- 2 1.20440- 4 1.30000+ 1 2.20000+ 1 1.01077- 2 1.34160- 4 1.30000+ 1 2.40000+ 1 1.54142- 2 3.43060- 4 1.30000+ 1 2.50000+ 1 2.24654- 2 3.45710- 4 1.30000+ 1 2.70000+ 1 2.20369- 3 3.07130- 4 1.30000+ 1 2.90000+ 1 1.71565- 3 3.37730- 4 1.30000+ 1 3.00000+ 1 6.03370- 3 3.49300- 4 1.30000+ 1 3.20000+ 1 2.89182- 4 3.89180- 4 1.30000+ 1 3.30000+ 1 2.75322- 4 3.90200- 4 1.30000+ 1 4.10000+ 1 1.95268- 4 3.90640- 4 1.40000+ 1 1.90000+ 1 1.19109- 1 2.52100- 5 1.40000+ 1 2.10000+ 1 4.58862- 2 1.89540- 4 1.40000+ 1 2.20000+ 1 6.37399- 2 2.03260- 4 1.40000+ 1 2.40000+ 1 1.57105- 1 4.12160- 4 1.40000+ 1 2.50000+ 1 1.89155- 1 4.14810- 4 1.40000+ 1 2.70000+ 1 1.30684- 2 3.76230- 4 1.40000+ 1 2.90000+ 1 1.16983- 2 4.06830- 4 1.40000+ 1 3.00000+ 1 1.55381- 2 4.18400- 4 1.40000+ 1 3.20000+ 1 1.29814- 3 4.58280- 4 1.40000+ 1 3.30000+ 1 1.79430- 3 4.59300- 4 1.40000+ 1 4.10000+ 1 1.16769- 3 4.59740- 4 1.60000+ 1 1.60000+ 1 5.16571- 4 1.12884- 3 1.60000+ 1 1.80000+ 1 8.79730- 4 1.22784- 3 1.60000+ 1 1.90000+ 1 1.46007- 2 1.30208- 3 1.60000+ 1 2.10000+ 1 8.59505- 4 1.46641- 3 1.60000+ 1 2.20000+ 1 9.79488- 4 1.48013- 3 1.60000+ 1 2.40000+ 1 1.36724- 3 1.68903- 3 1.60000+ 1 2.50000+ 1 2.25580- 3 1.69168- 3 1.60000+ 1 2.70000+ 1 1.44620- 4 1.65310- 3 1.60000+ 1 2.90000+ 1 1.04835- 4 1.68370- 3 1.60000+ 1 3.00000+ 1 1.45186- 3 1.69527- 3 1.60000+ 1 3.20000+ 1 2.58913- 5 1.73515- 3 1.60000+ 1 3.30000+ 1 2.71560- 5 1.73617- 3 1.60000+ 1 4.10000+ 1 1.26304- 5 1.73661- 3 1.80000+ 1 1.80000+ 1 7.07281- 5 1.32684- 3 1.80000+ 1 1.90000+ 1 1.76489- 2 1.40108- 3 1.80000+ 1 2.10000+ 1 3.92186- 4 1.56541- 3 1.80000+ 1 2.20000+ 1 3.47582- 3 1.57913- 3 1.80000+ 1 2.40000+ 1 1.49858- 3 1.78803- 3 1.80000+ 1 2.50000+ 1 8.48473- 3 1.79068- 3 1.80000+ 1 2.70000+ 1 1.10514- 4 1.75210- 3 1.80000+ 1 2.90000+ 1 1.51561- 5 1.78270- 3 1.80000+ 1 3.00000+ 1 1.78335- 3 1.79427- 3 1.80000+ 1 3.20000+ 1 1.19985- 5 1.83415- 3 1.80000+ 1 3.30000+ 1 9.15693- 5 1.83517- 3 1.80000+ 1 4.10000+ 1 9.47262- 6 1.83561- 3 1.90000+ 1 1.90000+ 1 2.39363- 2 1.47532- 3 1.90000+ 1 2.10000+ 1 3.39925- 2 1.63965- 3 1.90000+ 1 2.20000+ 1 4.47886- 2 1.65337- 3 1.90000+ 1 2.40000+ 1 2.50142- 2 1.86227- 3 1.90000+ 1 2.50000+ 1 2.86030- 2 1.86492- 3 1.90000+ 1 2.70000+ 1 2.57646- 3 1.82634- 3 1.90000+ 1 2.90000+ 1 2.65467- 3 1.85694- 3 1.90000+ 1 3.00000+ 1 5.87410- 3 1.86851- 3 1.90000+ 1 3.20000+ 1 1.09312- 3 1.90839- 3 1.90000+ 1 3.30000+ 1 1.37414- 3 1.90941- 3 1.90000+ 1 4.10000+ 1 2.33029- 4 1.90985- 3 2.10000+ 1 2.10000+ 1 2.19136- 4 1.80398- 3 2.10000+ 1 2.20000+ 1 4.94600- 3 1.81770- 3 2.10000+ 1 2.40000+ 1 6.34685- 4 2.02660- 3 2.10000+ 1 2.50000+ 1 7.62995- 3 2.02925- 3 2.10000+ 1 2.70000+ 1 9.47273- 5 1.99067- 3 2.10000+ 1 2.90000+ 1 2.90503- 5 2.02127- 3 2.10000+ 1 3.00000+ 1 3.38922- 3 2.03284- 3 2.10000+ 1 3.20000+ 1 1.19986- 5 2.07272- 3 2.10000+ 1 3.30000+ 1 1.37038- 4 2.07374- 3 2.10000+ 1 4.10000+ 1 8.20970- 6 2.07418- 3 2.20000+ 1 2.20000+ 1 2.25144- 3 1.83142- 3 2.20000+ 1 2.40000+ 1 6.18271- 3 2.04032- 3 2.20000+ 1 2.50000+ 1 5.25319- 3 2.04297- 3 2.20000+ 1 2.70000+ 1 1.09889- 4 2.00439- 3 2.20000+ 1 2.90000+ 1 3.05671- 4 2.03499- 3 2.20000+ 1 3.00000+ 1 4.41687- 3 2.04656- 3 2.20000+ 1 3.20000+ 1 1.43360- 4 2.08644- 3 2.20000+ 1 3.30000+ 1 1.24412- 4 2.08746- 3 2.20000+ 1 4.10000+ 1 9.47308- 6 2.08790- 3 2.40000+ 1 2.40000+ 1 8.39270- 4 2.24922- 3 2.40000+ 1 2.50000+ 1 2.25214- 2 2.25187- 3 2.40000+ 1 2.70000+ 1 1.42090- 4 2.21329- 3 2.40000+ 1 2.90000+ 1 1.90086- 4 2.24389- 3 2.40000+ 1 3.00000+ 1 2.37956- 3 2.25546- 3 2.40000+ 1 3.20000+ 1 2.33662- 5 2.29534- 3 2.40000+ 1 3.30000+ 1 1.81245- 4 2.29636- 3 2.40000+ 1 4.10000+ 1 1.19987- 5 2.29680- 3 2.50000+ 1 2.50000+ 1 8.82043- 3 2.25452- 3 2.50000+ 1 2.70000+ 1 1.94514- 4 2.21594- 3 2.50000+ 1 2.90000+ 1 1.07422- 3 2.24654- 3 2.50000+ 1 3.00000+ 1 2.80981- 3 2.25811- 3 2.50000+ 1 3.20000+ 1 2.44412- 4 2.29799- 3 2.50000+ 1 3.30000+ 1 1.64830- 4 2.29901- 3 2.50000+ 1 4.10000+ 1 1.57885- 5 2.29945- 3 2.70000+ 1 2.70000+ 1 1.56039- 5 2.17736- 3 2.70000+ 1 2.90000+ 1 2.01938- 5 2.20796- 3 2.70000+ 1 3.00000+ 1 3.72670- 4 2.21953- 3 2.70000+ 1 3.20000+ 1 4.58932- 6 2.25941- 3 2.70000+ 1 3.30000+ 1 4.58932- 6 2.26043- 3 2.70000+ 1 4.10000+ 1 2.75364- 6 2.26087- 3 2.90000+ 1 2.90000+ 1 9.97169- 7 2.23856- 3 2.90000+ 1 3.00000+ 1 4.24838- 4 2.25013- 3 2.90000+ 1 3.20000+ 1 9.97169- 7 2.29001- 3 2.90000+ 1 3.30000+ 1 1.29635- 5 2.29103- 3 2.90000+ 1 4.10000+ 1 1.99438- 6 2.29147- 3 3.00000+ 1 3.00000+ 1 1.02854- 3 2.26170- 3 3.00000+ 1 3.20000+ 1 3.23513- 4 2.30158- 3 3.00000+ 1 3.30000+ 1 4.02054- 4 2.30260- 3 3.00000+ 1 4.10000+ 1 6.91906- 5 2.30304- 3 3.20000+ 1 3.30000+ 1 4.42060- 6 2.34248- 3 3.30000+ 1 3.30000+ 1 1.26300- 6 2.34350- 3 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.13300- 3 1.44497- 3 1.90000+ 1 2.21570- 4 1.51921- 3 2.40000+ 1 1.86930- 2 1.90616- 3 2.90000+ 1 5.09561- 4 1.90083- 3 3.00000+ 1 5.34281- 5 1.91240- 3 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 8.86427- 2 1.34600- 5 1.40000+ 1 2.50000+ 1 1.33898- 2 1.61100- 5 1.40000+ 1 2.90000+ 1 6.40664- 4 8.13000- 6 1.40000+ 1 3.00000+ 1 2.02185- 3 1.97000- 5 1.40000+ 1 3.20000+ 1 4.65873- 3 5.95800- 5 1.40000+ 1 3.30000+ 1 6.28287- 4 6.06000- 5 1.40000+ 1 4.10000+ 1 1.68159- 4 6.10400- 5 1.60000+ 1 1.60000+ 1 3.64421- 5 7.30140- 4 1.60000+ 1 1.80000+ 1 1.55726- 3 8.29140- 4 1.60000+ 1 1.90000+ 1 1.10724- 3 9.03380- 4 1.60000+ 1 2.10000+ 1 4.04134- 2 1.06771- 3 1.60000+ 1 2.20000+ 1 4.72066- 3 1.08143- 3 1.60000+ 1 2.40000+ 1 1.47180- 2 1.29033- 3 1.60000+ 1 2.50000+ 1 4.41226- 3 1.29298- 3 1.60000+ 1 2.70000+ 1 2.10236- 5 1.25440- 3 1.60000+ 1 2.90000+ 1 1.87812- 4 1.28500- 3 1.60000+ 1 3.00000+ 1 1.09324- 4 1.29657- 3 1.60000+ 1 3.20000+ 1 9.86708- 4 1.33645- 3 1.60000+ 1 3.30000+ 1 1.13530- 4 1.33747- 3 1.60000+ 1 4.10000+ 1 1.40165- 6 1.33791- 3 1.80000+ 1 1.80000+ 1 9.16645- 4 9.28140- 4 1.80000+ 1 1.90000+ 1 5.74945- 3 1.00238- 3 1.80000+ 1 2.10000+ 1 3.56627- 2 1.16671- 3 1.80000+ 1 2.20000+ 1 2.74001- 3 1.18043- 3 1.80000+ 1 2.40000+ 1 9.26182- 3 1.38933- 3 1.80000+ 1 2.50000+ 1 4.61544- 3 1.39198- 3 1.80000+ 1 2.70000+ 1 1.87811- 4 1.35340- 3 1.80000+ 1 2.90000+ 1 2.22853- 4 1.38400- 3 1.80000+ 1 3.00000+ 1 6.33516- 4 1.39557- 3 1.80000+ 1 3.20000+ 1 8.64773- 4 1.43545- 3 1.80000+ 1 3.30000+ 1 7.42854- 5 1.43647- 3 1.80000+ 1 4.10000+ 1 1.68189- 5 1.43691- 3 1.90000+ 1 1.90000+ 1 2.05191- 3 1.07662- 3 1.90000+ 1 2.10000+ 1 7.34615- 2 1.24095- 3 1.90000+ 1 2.20000+ 1 2.76675- 3 1.25467- 3 1.90000+ 1 2.40000+ 1 4.13336- 3 1.46357- 3 1.90000+ 1 2.50000+ 1 2.37572- 3 1.46622- 3 1.90000+ 1 2.70000+ 1 1.51370- 4 1.42764- 3 1.90000+ 1 2.90000+ 1 5.84468- 4 1.45824- 3 1.90000+ 1 3.00000+ 1 4.34500- 4 1.46981- 3 1.90000+ 1 3.20000+ 1 1.79827- 3 1.50969- 3 1.90000+ 1 3.30000+ 1 6.86765- 5 1.51071- 3 1.90000+ 1 4.10000+ 1 1.26139- 5 1.51115- 3 2.10000+ 1 2.10000+ 1 6.40053- 2 1.40528- 3 2.10000+ 1 2.20000+ 1 1.28120- 1 1.41900- 3 2.10000+ 1 2.40000+ 1 5.81952- 2 1.62790- 3 2.10000+ 1 2.50000+ 1 7.17532- 2 1.63055- 3 2.10000+ 1 2.70000+ 1 6.61852- 3 1.59197- 3 2.10000+ 1 2.90000+ 1 5.39921- 3 1.62257- 3 2.10000+ 1 3.00000+ 1 1.04126- 2 1.63414- 3 2.10000+ 1 3.20000+ 1 3.64562- 3 1.67402- 3 2.10000+ 1 3.30000+ 1 3.88525- 3 1.67504- 3 2.10000+ 1 4.10000+ 1 5.95704- 4 1.67548- 3 2.20000+ 1 2.20000+ 1 2.07013- 3 1.43272- 3 2.20000+ 1 2.40000+ 1 6.30155- 2 1.64162- 3 2.20000+ 1 2.50000+ 1 3.34140- 3 1.64427- 3 2.20000+ 1 2.70000+ 1 4.35888- 4 1.60569- 3 2.20000+ 1 2.90000+ 1 2.71913- 4 1.63629- 3 2.20000+ 1 3.00000+ 1 3.22374- 4 1.64786- 3 2.20000+ 1 3.20000+ 1 3.15498- 3 1.68774- 3 2.20000+ 1 3.30000+ 1 1.06521- 4 1.68876- 3 2.20000+ 1 4.10000+ 1 3.64419- 5 1.68920- 3 2.40000+ 1 2.40000+ 1 5.33588- 2 1.85052- 3 2.40000+ 1 2.50000+ 1 1.54985- 1 1.85317- 3 2.40000+ 1 2.70000+ 1 2.50050- 3 1.81459- 3 2.40000+ 1 2.90000+ 1 1.17173- 3 1.84519- 3 2.40000+ 1 3.00000+ 1 5.90085- 4 1.85676- 3 2.40000+ 1 3.20000+ 1 1.50949- 3 1.89664- 3 2.40000+ 1 3.30000+ 1 1.83889- 3 1.89766- 3 2.40000+ 1 4.10000+ 1 2.25653- 4 1.89810- 3 2.50000+ 1 2.50000+ 1 3.51599- 3 1.85582- 3 2.50000+ 1 2.70000+ 1 5.80978- 4 1.81724- 3 2.50000+ 1 2.90000+ 1 3.55222- 4 1.84784- 3 2.50000+ 1 3.00000+ 1 3.29625- 4 1.85941- 3 2.50000+ 1 3.20000+ 1 1.77159- 3 1.89929- 3 2.50000+ 1 3.30000+ 1 9.93409- 5 1.90031- 3 2.50000+ 1 4.10000+ 1 4.96705- 5 1.90075- 3 2.70000+ 1 2.70000+ 1 3.51388- 6 1.77866- 3 2.70000+ 1 2.90000+ 1 5.97307- 5 1.80926- 3 2.70000+ 1 3.00000+ 1 3.86532- 5 1.82083- 3 2.70000+ 1 3.20000+ 1 4.07602- 4 1.86071- 3 2.70000+ 1 3.30000+ 1 2.81109- 5 1.86173- 3 2.90000+ 1 2.90000+ 1 5.02051- 5 1.83986- 3 2.90000+ 1 3.00000+ 1 2.45990- 4 1.85143- 3 2.90000+ 1 3.20000+ 1 4.71904- 4 1.89131- 3 2.90000+ 1 3.30000+ 1 3.01212- 5 1.89233- 3 2.90000+ 1 4.10000+ 1 1.00405- 5 1.89277- 3 3.00000+ 1 3.00000+ 1 1.07308- 4 1.86300- 3 3.00000+ 1 3.20000+ 1 1.15521- 3 1.90288- 3 3.00000+ 1 3.30000+ 1 3.78744- 5 1.90390- 3 3.00000+ 1 4.10000+ 1 6.31280- 6 1.90434- 3 3.20000+ 1 3.20000+ 1 3.38295- 5 1.94276- 3 3.20000+ 1 3.30000+ 1 9.72550- 5 1.94378- 3 3.20000+ 1 4.10000+ 1 1.40957- 5 1.94422- 3 3.30000+ 1 3.30000+ 1 1.40160- 6 1.94480- 3 3.30000+ 1 4.10000+ 1 1.40160- 6 1.94524- 3 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.84402- 3 1.45011- 3 2.40000+ 1 1.00031- 3 1.83706- 3 2.50000+ 1 1.94873- 2 1.83971- 3 3.00000+ 1 4.97526- 4 1.84330- 3 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 3.02705- 6 6.61040- 4 1.60000+ 1 1.80000+ 1 3.51146- 4 7.60040- 4 1.60000+ 1 1.90000+ 1 2.74408- 3 8.34280- 4 1.60000+ 1 2.10000+ 1 4.21535- 3 9.98610- 4 1.60000+ 1 2.20000+ 1 4.69039- 2 1.01233- 3 1.60000+ 1 2.40000+ 1 4.77073- 3 1.22123- 3 1.60000+ 1 2.50000+ 1 1.68217- 2 1.22388- 3 1.60000+ 1 2.70000+ 1 1.36222- 5 1.18530- 3 1.60000+ 1 2.90000+ 1 1.96763- 5 1.21590- 3 1.60000+ 1 3.00000+ 1 2.86060- 4 1.22747- 3 1.60000+ 1 3.20000+ 1 1.01407- 4 1.26735- 3 1.60000+ 1 3.30000+ 1 1.08982- 3 1.26837- 3 1.60000+ 1 4.10000+ 1 1.51362- 6 1.26881- 3 1.80000+ 1 1.80000+ 1 4.54064- 6 8.59040- 4 1.80000+ 1 1.90000+ 1 7.02416- 3 9.33280- 4 1.80000+ 1 2.10000+ 1 3.69303- 4 1.09761- 3 1.80000+ 1 2.20000+ 1 4.79281- 2 1.11133- 3 1.80000+ 1 2.40000+ 1 2.27639- 3 1.32023- 3 1.80000+ 1 2.50000+ 1 8.58154- 3 1.32288- 3 1.80000+ 1 2.70000+ 1 4.08664- 5 1.28430- 3 1.80000+ 1 2.90000+ 1 3.02702- 6 1.31490- 3 1.80000+ 1 3.00000+ 1 7.24991- 4 1.32647- 3 1.80000+ 1 3.20000+ 1 4.54064- 6 1.36635- 3 1.80000+ 1 3.30000+ 1 1.11542- 3 1.36737- 3 1.80000+ 1 4.10000+ 1 3.02702- 6 1.36781- 3 1.90000+ 1 1.90000+ 1 5.07495- 3 1.00752- 3 1.90000+ 1 2.10000+ 1 4.48019- 3 1.17185- 3 1.90000+ 1 2.20000+ 1 7.39413- 2 1.18557- 3 1.90000+ 1 2.40000+ 1 2.80309- 3 1.39447- 3 1.90000+ 1 2.50000+ 1 5.92396- 3 1.39712- 3 1.90000+ 1 2.70000+ 1 3.84448- 4 1.35854- 3 1.90000+ 1 2.90000+ 1 6.96244- 4 1.38914- 3 1.90000+ 1 3.00000+ 1 1.08065- 3 1.40071- 3 1.90000+ 1 3.20000+ 1 1.27132- 4 1.44059- 3 1.90000+ 1 3.30000+ 1 1.71497- 3 1.44161- 3 1.90000+ 1 4.10000+ 1 3.32986- 5 1.44205- 3 2.10000+ 1 2.10000+ 1 9.64092- 4 1.33618- 3 2.10000+ 1 2.20000+ 1 9.93713- 2 1.34990- 3 2.10000+ 1 2.40000+ 1 3.07100- 3 1.55880- 3 2.10000+ 1 2.50000+ 1 4.16418- 2 1.56145- 3 2.10000+ 1 2.70000+ 1 3.73839- 4 1.52287- 3 2.10000+ 1 2.90000+ 1 6.05381- 5 1.55347- 3 2.10000+ 1 3.00000+ 1 4.73738- 4 1.56504- 3 2.10000+ 1 3.20000+ 1 5.14593- 5 1.60492- 3 2.10000+ 1 3.30000+ 1 2.33236- 3 1.60594- 3 2.10000+ 1 4.10000+ 1 3.17834- 5 1.60638- 3 2.20000+ 1 2.20000+ 1 1.11911- 1 1.36362- 3 2.20000+ 1 2.40000+ 1 6.83777- 2 1.57252- 3 2.20000+ 1 2.50000+ 1 1.06648- 1 1.57517- 3 2.20000+ 1 2.70000+ 1 7.41347- 3 1.53659- 3 2.20000+ 1 2.90000+ 1 6.97741- 3 1.56719- 3 2.20000+ 1 3.00000+ 1 1.05701- 2 1.57876- 3 2.20000+ 1 3.20000+ 1 3.16028- 3 1.61864- 3 2.20000+ 1 3.30000+ 1 6.02226- 3 1.61966- 3 2.20000+ 1 4.10000+ 1 6.64410- 4 1.62010- 3 2.40000+ 1 2.40000+ 1 4.57381- 3 1.78142- 3 2.40000+ 1 2.50000+ 1 1.46343- 1 1.78407- 3 2.40000+ 1 2.70000+ 1 6.25074- 4 1.74549- 3 2.40000+ 1 2.90000+ 1 3.08754- 4 1.77609- 3 2.40000+ 1 3.00000+ 1 3.23893- 4 1.78766- 3 2.40000+ 1 3.20000+ 1 9.53524- 5 1.82754- 3 2.40000+ 1 3.30000+ 1 1.52722- 3 1.82856- 3 2.40000+ 1 4.10000+ 1 5.44861- 5 1.82900- 3 2.50000+ 1 2.50000+ 1 9.98871- 2 1.78672- 3 2.50000+ 1 2.70000+ 1 2.77575- 3 1.74814- 3 2.50000+ 1 2.90000+ 1 1.25312- 3 1.77874- 3 2.50000+ 1 3.00000+ 1 7.94606- 4 1.79031- 3 2.50000+ 1 3.20000+ 1 1.25771- 3 1.83019- 3 2.50000+ 1 3.30000+ 1 2.68187- 3 1.83121- 3 2.50000+ 1 4.10000+ 1 2.51233- 4 1.83165- 3 2.70000+ 1 2.70000+ 1 4.58967- 6 1.70956- 3 2.70000+ 1 2.90000+ 1 9.17877- 6 1.74016- 3 2.70000+ 1 3.00000+ 1 1.28506- 4 1.75173- 3 2.70000+ 1 3.20000+ 1 3.21273- 5 1.79161- 3 2.70000+ 1 3.30000+ 1 5.27787- 4 1.79263- 3 2.90000+ 1 3.00000+ 1 2.06030- 4 1.78233- 3 2.90000+ 1 3.20000+ 1 4.12085- 6 1.82221- 3 2.90000+ 1 3.30000+ 1 4.45028- 4 1.82323- 3 3.00000+ 1 3.00000+ 1 2.07199- 4 1.79390- 3 3.00000+ 1 3.20000+ 1 4.78171- 5 1.83378- 3 3.00000+ 1 3.30000+ 1 8.65973- 4 1.83480- 3 3.00000+ 1 4.10000+ 1 1.06257- 5 1.83524- 3 3.20000+ 1 3.30000+ 1 7.41634- 5 1.87468- 3 3.20000+ 1 4.10000+ 1 1.51362- 6 1.87512- 3 3.30000+ 1 3.30000+ 1 6.35667- 5 1.87570- 3 3.30000+ 1 4.10000+ 1 1.51363- 5 1.87614- 3 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.88799- 5 9.90000- 5 1.90000+ 1 2.11297- 4 1.73240- 4 2.90000+ 1 1.19992- 4 5.54860- 4 3.00000+ 1 6.21263- 5 5.66430- 4 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 1.32144- 2 4.33600- 5 1.80000+ 1 2.50000+ 1 1.07922- 2 4.60100- 5 1.80000+ 1 2.70000+ 1 3.41726- 2 7.43000- 6 1.80000+ 1 2.90000+ 1 3.13552- 2 3.80300- 5 1.80000+ 1 3.00000+ 1 5.66436- 2 4.96000- 5 1.80000+ 1 3.20000+ 1 1.18491- 2 8.94800- 5 1.80000+ 1 3.30000+ 1 2.00066- 2 9.05000- 5 1.80000+ 1 4.10000+ 1 3.13057- 3 9.09400- 5 1.90000+ 1 2.40000+ 1 1.16577- 1 1.17600- 4 1.90000+ 1 2.50000+ 1 1.46631- 1 1.20250- 4 1.90000+ 1 2.70000+ 1 4.13187- 2 8.16700- 5 1.90000+ 1 2.90000+ 1 4.55922- 2 1.12270- 4 1.90000+ 1 3.00000+ 1 5.19150- 2 1.23840- 4 1.90000+ 1 3.20000+ 1 1.51807- 2 1.63720- 4 1.90000+ 1 3.30000+ 1 1.78669- 2 1.64740- 4 1.90000+ 1 4.10000+ 1 3.66919- 3 1.65180- 4 2.10000+ 1 2.10000+ 1 3.87473- 3 5.93100- 5 2.10000+ 1 2.20000+ 1 9.61222- 3 7.30300- 5 2.10000+ 1 2.40000+ 1 4.72300- 3 2.81930- 4 2.10000+ 1 2.50000+ 1 1.01009- 2 2.84580- 4 2.10000+ 1 2.70000+ 1 1.52848- 2 2.46000- 4 2.10000+ 1 2.90000+ 1 3.85831- 3 2.76600- 4 2.10000+ 1 3.00000+ 1 7.84571- 3 2.88170- 4 2.10000+ 1 3.20000+ 1 4.93726- 4 3.28050- 4 2.10000+ 1 3.30000+ 1 4.40509- 4 3.29070- 4 2.10000+ 1 4.10000+ 1 1.09047- 3 3.29510- 4 2.20000+ 1 2.20000+ 1 7.12986- 3 8.67500- 5 2.20000+ 1 2.40000+ 1 1.14362- 2 2.95650- 4 2.20000+ 1 2.50000+ 1 1.04958- 2 2.98300- 4 2.20000+ 1 2.70000+ 1 2.15915- 2 2.59720- 4 2.20000+ 1 2.90000+ 1 8.44250- 3 2.90320- 4 2.20000+ 1 3.00000+ 1 7.70520- 3 3.01890- 4 2.20000+ 1 3.20000+ 1 4.03498- 4 3.41770- 4 2.20000+ 1 3.30000+ 1 7.00265- 4 3.42790- 4 2.20000+ 1 4.10000+ 1 1.53278- 3 3.43230- 4 2.40000+ 1 2.40000+ 1 7.05761- 3 5.04550- 4 2.40000+ 1 2.50000+ 1 1.51880- 2 5.07200- 4 2.40000+ 1 2.70000+ 1 1.62318- 2 4.68620- 4 2.40000+ 1 2.90000+ 1 2.04167- 3 4.99220- 4 2.40000+ 1 3.00000+ 1 5.98928- 3 5.10790- 4 2.40000+ 1 3.20000+ 1 1.94996- 4 5.50670- 4 2.40000+ 1 3.30000+ 1 1.33912- 4 5.51690- 4 2.40000+ 1 4.10000+ 1 1.04883- 3 5.52130- 4 2.50000+ 1 2.50000+ 1 1.17673- 2 5.09850- 4 2.50000+ 1 2.70000+ 1 2.10784- 2 4.71270- 4 2.50000+ 1 2.90000+ 1 1.17300- 3 5.01870- 4 2.50000+ 1 3.00000+ 1 7.22922- 3 5.13440- 4 2.50000+ 1 3.20000+ 1 1.22368- 4 5.53320- 4 2.50000+ 1 3.30000+ 1 2.85961- 4 5.54340- 4 2.50000+ 1 4.10000+ 1 1.35973- 3 5.54780- 4 2.70000+ 1 2.70000+ 1 2.01441- 2 4.32690- 4 2.70000+ 1 2.90000+ 1 2.63810- 2 4.63290- 4 2.70000+ 1 3.00000+ 1 4.31725- 2 4.74860- 4 2.70000+ 1 3.20000+ 1 1.08313- 2 5.14740- 4 2.70000+ 1 3.30000+ 1 1.45951- 2 5.15760- 4 2.70000+ 1 4.10000+ 1 3.17882- 3 5.16200- 4 2.90000+ 1 2.90000+ 1 3.13990- 3 4.93890- 4 2.90000+ 1 3.00000+ 1 1.29813- 2 5.05460- 4 2.90000+ 1 3.20000+ 1 1.49342- 3 5.45340- 4 2.90000+ 1 3.30000+ 1 1.46060- 3 5.46360- 4 2.90000+ 1 4.10000+ 1 2.62032- 3 5.46800- 4 3.00000+ 1 3.00000+ 1 9.69425- 3 5.17030- 4 3.00000+ 1 3.20000+ 1 1.87398- 3 5.56910- 4 3.00000+ 1 3.30000+ 1 2.92362- 3 5.57930- 4 3.00000+ 1 4.10000+ 1 4.37459- 3 5.58370- 4 3.20000+ 1 3.20000+ 1 7.21796- 5 5.96790- 4 3.20000+ 1 3.30000+ 1 3.33121- 4 5.97810- 4 3.20000+ 1 4.10000+ 1 1.09383- 3 5.98250- 4 3.30000+ 1 3.30000+ 1 1.61709- 4 5.98830- 4 3.30000+ 1 4.10000+ 1 1.48323- 3 5.99270- 4 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 7.20480- 4 2.38570- 4 2.70000+ 1 1.57589- 4 4.25260- 4 3.20000+ 1 5.85672- 6 5.07310- 4 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 3.83708- 2 1.86000- 5 1.90000+ 1 2.50000+ 1 3.31339- 2 2.12500- 5 1.90000+ 1 2.90000+ 1 1.12969- 2 1.32700- 5 1.90000+ 1 3.00000+ 1 1.21038- 2 2.48400- 5 1.90000+ 1 3.20000+ 1 1.99260- 3 6.47200- 5 1.90000+ 1 3.30000+ 1 2.99734- 3 6.57400- 5 1.90000+ 1 4.10000+ 1 1.22349- 3 6.61800- 5 2.10000+ 1 2.40000+ 1 1.53156- 1 1.82930- 4 2.10000+ 1 2.50000+ 1 3.29283- 1 1.85580- 4 2.10000+ 1 2.70000+ 1 3.58369- 2 1.47000- 4 2.10000+ 1 2.90000+ 1 2.66699- 2 1.77600- 4 2.10000+ 1 3.00000+ 1 4.17514- 2 1.89170- 4 2.10000+ 1 3.20000+ 1 6.91328- 3 2.29050- 4 2.10000+ 1 3.30000+ 1 1.20423- 2 2.30070- 4 2.10000+ 1 4.10000+ 1 3.20991- 3 2.30510- 4 2.20000+ 1 2.40000+ 1 4.38093- 2 1.96650- 4 2.20000+ 1 2.50000+ 1 1.12757- 2 1.99300- 4 2.20000+ 1 2.70000+ 1 5.93022- 3 1.60720- 4 2.20000+ 1 2.90000+ 1 2.44256- 2 1.91320- 4 2.20000+ 1 3.00000+ 1 5.09771- 3 2.02890- 4 2.20000+ 1 3.20000+ 1 1.07077- 3 2.42770- 4 2.20000+ 1 3.30000+ 1 7.14585- 4 2.43790- 4 2.20000+ 1 4.10000+ 1 4.44069- 4 2.44230- 4 2.40000+ 1 2.40000+ 1 3.04730- 3 4.05550- 4 2.40000+ 1 2.50000+ 1 2.08480- 2 4.08200- 4 2.40000+ 1 2.70000+ 1 3.96922- 3 3.69620- 4 2.40000+ 1 2.90000+ 1 1.67791- 2 4.00220- 4 2.40000+ 1 3.00000+ 1 3.91217- 3 4.11790- 4 2.40000+ 1 3.20000+ 1 1.35180- 3 4.51670- 4 2.40000+ 1 3.30000+ 1 5.31061- 4 4.52690- 4 2.40000+ 1 4.10000+ 1 3.55779- 4 4.53130- 4 2.50000+ 1 2.50000+ 1 1.13384- 3 4.10850- 4 2.50000+ 1 2.70000+ 1 3.01919- 3 3.72270- 4 2.50000+ 1 2.90000+ 1 3.64134- 2 4.02870- 4 2.50000+ 1 3.00000+ 1 2.32070- 3 4.14440- 4 2.50000+ 1 3.20000+ 1 3.60182- 3 4.54320- 4 2.50000+ 1 3.30000+ 1 2.60211- 4 4.55340- 4 2.50000+ 1 4.10000+ 1 2.23322- 4 4.55780- 4 2.70000+ 1 2.70000+ 1 6.32065- 4 3.33690- 4 2.70000+ 1 2.90000+ 1 9.18116- 3 3.64290- 4 2.70000+ 1 3.00000+ 1 1.60673- 3 3.75860- 4 2.70000+ 1 3.20000+ 1 7.09889- 4 4.15740- 4 2.70000+ 1 3.30000+ 1 4.48424- 4 4.16760- 4 2.70000+ 1 4.10000+ 1 9.45804- 5 4.17200- 4 2.90000+ 1 2.90000+ 1 1.51157- 2 3.94890- 4 2.90000+ 1 3.00000+ 1 4.09338- 2 4.06460- 4 2.90000+ 1 3.20000+ 1 8.41331- 3 4.46340- 4 2.90000+ 1 3.30000+ 1 1.38225- 2 4.47360- 4 2.90000+ 1 4.10000+ 1 2.30782- 3 4.47800- 4 3.00000+ 1 3.00000+ 1 1.71352- 3 4.18030- 4 3.00000+ 1 3.20000+ 1 2.44002- 3 4.57910- 4 3.00000+ 1 3.30000+ 1 7.98117- 4 4.58930- 4 3.00000+ 1 4.10000+ 1 3.32277- 4 4.59370- 4 3.20000+ 1 3.20000+ 1 8.02245- 6 4.97790- 4 3.20000+ 1 3.30000+ 1 2.47651- 5 4.98810- 4 3.20000+ 1 4.10000+ 1 9.94092- 6 4.99250- 4 3.30000+ 1 3.30000+ 1 2.44160- 6 4.99830- 4 3.30000+ 1 4.10000+ 1 4.88321- 6 5.00270- 4 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.61550- 5 1.64330- 4 2.20000+ 1 1.86197- 4 1.78050- 4 2.70000+ 1 1.16563- 4 3.51020- 4 3.20000+ 1 1.70511- 6 4.33070- 4 3.30000+ 1 9.51033- 6 4.34090- 4 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.46253- 2 1.08690- 4 2.10000+ 1 2.50000+ 1 4.08718- 2 1.11340- 4 2.10000+ 1 2.70000+ 1 1.32853- 2 7.27600- 5 2.10000+ 1 2.90000+ 1 1.04393- 2 1.03360- 4 2.10000+ 1 3.00000+ 1 3.58122- 2 1.14930- 4 2.10000+ 1 3.20000+ 1 2.79557- 3 1.54810- 4 2.10000+ 1 3.30000+ 1 5.37585- 3 1.55830- 4 2.10000+ 1 4.10000+ 1 1.14495- 3 1.56270- 4 2.20000+ 1 2.40000+ 1 2.00274- 1 1.22410- 4 2.20000+ 1 2.50000+ 1 2.18995- 1 1.25060- 4 2.20000+ 1 2.70000+ 1 6.72071- 2 8.64800- 5 2.20000+ 1 2.90000+ 1 6.96554- 2 1.17080- 4 2.20000+ 1 3.00000+ 1 9.30273- 2 1.28650- 4 2.20000+ 1 3.20000+ 1 2.29007- 2 1.68530- 4 2.20000+ 1 3.30000+ 1 2.54698- 2 1.69550- 4 2.20000+ 1 4.10000+ 1 6.17263- 3 1.69990- 4 2.40000+ 1 2.40000+ 1 7.78697- 4 3.31310- 4 2.40000+ 1 2.50000+ 1 2.03316- 2 3.33960- 4 2.40000+ 1 2.70000+ 1 5.33426- 3 2.95380- 4 2.40000+ 1 2.90000+ 1 2.52291- 3 3.25980- 4 2.40000+ 1 3.00000+ 1 3.49315- 2 3.37550- 4 2.40000+ 1 3.20000+ 1 3.05003- 4 3.77430- 4 2.40000+ 1 3.30000+ 1 1.71500- 3 3.78450- 4 2.40000+ 1 4.10000+ 1 3.54193- 4 3.78890- 4 2.50000+ 1 2.50000+ 1 8.59263- 3 3.36610- 4 2.50000+ 1 2.70000+ 1 1.13596- 2 2.98030- 4 2.50000+ 1 2.90000+ 1 9.47015- 3 3.28630- 4 2.50000+ 1 3.00000+ 1 4.23998- 2 3.40200- 4 2.50000+ 1 3.20000+ 1 3.30179- 4 3.80080- 4 2.50000+ 1 3.30000+ 1 2.10231- 3 3.81100- 4 2.50000+ 1 4.10000+ 1 8.52424- 4 3.81540- 4 2.70000+ 1 2.70000+ 1 4.97886- 6 2.59450- 4 2.70000+ 1 2.90000+ 1 2.90623- 4 2.90050- 4 2.70000+ 1 3.00000+ 1 5.81723- 3 3.01620- 4 2.70000+ 1 3.20000+ 1 1.74881- 4 3.41500- 4 2.70000+ 1 3.30000+ 1 3.34214- 4 3.42520- 4 2.70000+ 1 4.10000+ 1 2.48943- 6 3.42960- 4 2.90000+ 1 2.90000+ 1 1.98143- 5 3.20650- 4 2.90000+ 1 3.00000+ 1 4.67815- 3 3.32220- 4 2.90000+ 1 3.20000+ 1 7.47978- 5 3.72100- 4 2.90000+ 1 3.30000+ 1 2.64020- 4 3.73120- 4 2.90000+ 1 4.10000+ 1 1.83286- 5 3.73560- 4 3.00000+ 1 3.00000+ 1 1.03576- 2 3.43790- 4 3.00000+ 1 3.20000+ 1 3.21190- 3 3.83670- 4 3.00000+ 1 3.30000+ 1 4.16087- 3 3.84690- 4 3.00000+ 1 4.10000+ 1 7.32691- 4 3.85130- 4 3.20000+ 1 3.20000+ 1 4.36044- 6 4.23550- 4 3.20000+ 1 3.30000+ 1 4.30601- 5 4.24570- 4 3.20000+ 1 4.10000+ 1 5.45058- 6 4.25010- 4 3.30000+ 1 3.30000+ 1 2.95234- 5 4.25590- 4 3.30000+ 1 4.10000+ 1 1.28827- 5 4.26030- 4 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.15051- 4 2.22620- 4 2.90000+ 1 2.73821- 5 2.17290- 4 3.00000+ 1 3.91522- 6 2.28860- 4 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.20000+ 1 1.85984- 2 4.20000- 6 2.20000+ 1 3.30000+ 1 2.80192- 3 5.22000- 6 2.20000+ 1 4.10000+ 1 5.24821- 4 5.66000- 6 2.40000+ 1 2.40000+ 1 1.59618- 1 1.66980- 4 2.40000+ 1 2.50000+ 1 5.00493- 1 1.69630- 4 2.40000+ 1 2.70000+ 1 6.21868- 2 1.31050- 4 2.40000+ 1 2.90000+ 1 5.09074- 2 1.61650- 4 2.40000+ 1 3.00000+ 1 7.43793- 2 1.73220- 4 2.40000+ 1 3.20000+ 1 2.38175- 2 2.13100- 4 2.40000+ 1 3.30000+ 1 2.31786- 2 2.14120- 4 2.40000+ 1 4.10000+ 1 5.68465- 3 2.14560- 4 2.50000+ 1 2.50000+ 1 6.01719- 3 1.72280- 4 2.50000+ 1 2.70000+ 1 6.16088- 3 1.33700- 4 2.50000+ 1 2.90000+ 1 1.37705- 2 1.64300- 4 2.50000+ 1 3.00000+ 1 5.15912- 3 1.75870- 4 2.50000+ 1 3.20000+ 1 2.70359- 2 2.15750- 4 2.50000+ 1 3.30000+ 1 1.00146- 3 2.16770- 4 2.50000+ 1 4.10000+ 1 4.58251- 4 2.17210- 4 2.70000+ 1 2.70000+ 1 1.04479- 3 9.51200- 5 2.70000+ 1 2.90000+ 1 1.57935- 3 1.25720- 4 2.70000+ 1 3.00000+ 1 1.65982- 3 1.37290- 4 2.70000+ 1 3.20000+ 1 2.28910- 3 1.77170- 4 2.70000+ 1 3.30000+ 1 7.86328- 4 1.78190- 4 2.70000+ 1 4.10000+ 1 1.07442- 4 1.78630- 4 2.90000+ 1 2.90000+ 1 5.85466- 4 1.56320- 4 2.90000+ 1 3.00000+ 1 2.30135- 3 1.67890- 4 2.90000+ 1 3.20000+ 1 1.76676- 3 2.07770- 4 2.90000+ 1 3.30000+ 1 4.32518- 4 2.08790- 4 2.90000+ 1 4.10000+ 1 1.03539- 4 2.09230- 4 3.00000+ 1 3.00000+ 1 8.24574- 4 1.79460- 4 3.00000+ 1 3.20000+ 1 2.98499- 3 2.19340- 4 3.00000+ 1 3.30000+ 1 2.68664- 4 2.20360- 4 3.00000+ 1 4.10000+ 1 6.56965- 5 2.20800- 4 3.20000+ 1 3.20000+ 1 2.75874- 4 2.59220- 4 3.20000+ 1 3.30000+ 1 7.93284- 4 2.60240- 4 3.20000+ 1 4.10000+ 1 1.57948- 4 2.60680- 4 3.30000+ 1 3.30000+ 1 1.38117- 5 2.61260- 4 3.30000+ 1 4.10000+ 1 1.91245- 5 2.61700- 4 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 5.22250- 6 2.08900- 4 2.50000+ 1 1.09670- 4 2.11550- 4 3.00000+ 1 2.56050- 5 2.15140- 4 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 9.97849- 3 1.53260- 4 2.40000+ 1 2.50000+ 1 3.68129- 1 1.55910- 4 2.40000+ 1 2.70000+ 1 8.37404- 3 1.17330- 4 2.40000+ 1 2.90000+ 1 4.98678- 3 1.47930- 4 2.40000+ 1 3.00000+ 1 1.30610- 2 1.59500- 4 2.40000+ 1 3.20000+ 1 1.29360- 3 1.99380- 4 2.40000+ 1 3.30000+ 1 2.31839- 2 2.00400- 4 2.40000+ 1 4.10000+ 1 6.83256- 4 2.00840- 4 2.50000+ 1 2.50000+ 1 2.74576- 1 1.58560- 4 2.50000+ 1 2.70000+ 1 6.62063- 2 1.19980- 4 2.50000+ 1 2.90000+ 1 6.73492- 2 1.50580- 4 2.50000+ 1 3.00000+ 1 7.45743- 2 1.62150- 4 2.50000+ 1 3.20000+ 1 2.09054- 2 2.02030- 4 2.50000+ 1 3.30000+ 1 3.99368- 2 2.03050- 4 2.50000+ 1 4.10000+ 1 6.10222- 3 2.03490- 4 2.70000+ 1 2.70000+ 1 1.73489- 3 8.14000- 5 2.70000+ 1 2.90000+ 1 1.44289- 3 1.12000- 4 2.70000+ 1 3.00000+ 1 3.33479- 3 1.23570- 4 2.70000+ 1 3.20000+ 1 9.22501- 4 1.63450- 4 2.70000+ 1 3.30000+ 1 3.15999- 3 1.64470- 4 2.70000+ 1 4.10000+ 1 1.72939- 4 1.64910- 4 2.90000+ 1 2.90000+ 1 2.02032- 4 1.42600- 4 2.90000+ 1 3.00000+ 1 2.26692- 3 1.54170- 4 2.90000+ 1 3.20000+ 1 1.05471- 4 1.94050- 4 2.90000+ 1 3.30000+ 1 1.78962- 3 1.95070- 4 2.90000+ 1 4.10000+ 1 5.50645- 5 1.95510- 4 3.00000+ 1 3.00000+ 1 9.21737- 4 1.65740- 4 3.00000+ 1 3.20000+ 1 3.41641- 4 2.05620- 4 3.00000+ 1 3.30000+ 1 2.53680- 3 2.06640- 4 3.00000+ 1 4.10000+ 1 1.07021- 4 2.07080- 4 3.20000+ 1 3.20000+ 1 6.59224- 6 2.45500- 4 3.20000+ 1 3.30000+ 1 6.56524- 4 2.46520- 4 3.20000+ 1 4.10000+ 1 2.21034- 5 2.46960- 4 3.30000+ 1 3.30000+ 1 5.57628- 4 2.47540- 4 3.30000+ 1 4.10000+ 1 1.82252- 4 2.47980- 4 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 5.29510- 7 3.06000- 5 3.00000+ 1 2.82950- 6 4.21700- 5 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 1.24135- 1 2.10800- 5 2.90000+ 1 3.30000+ 1 1.89092- 1 2.21000- 5 2.90000+ 1 4.10000+ 1 4.34222- 2 2.25400- 5 3.00000+ 1 3.20000+ 1 3.35075- 1 3.26500- 5 3.00000+ 1 3.30000+ 1 2.19489- 1 3.36700- 5 3.00000+ 1 4.10000+ 1 4.88854- 2 3.41100- 5 3.20000+ 1 3.20000+ 1 6.43522- 4 7.25300- 5 3.20000+ 1 3.30000+ 1 2.27034- 2 7.35500- 5 3.20000+ 1 4.10000+ 1 6.91701- 3 7.39900- 5 3.30000+ 1 3.30000+ 1 2.75910- 3 7.45700- 5 4.10000+ 1 4.10000+ 1 6.87429- 3 7.54500- 5 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 2.56166- 7 5.14500- 5 4.10000+ 1 2.91337- 8 5.29100- 5 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.20000+ 1 5.73156- 1 2.05000- 6 3.00000+ 1 3.30000+ 1 8.46330- 2 3.07000- 6 3.00000+ 1 4.10000+ 1 1.01200- 2 3.51000- 6 3.20000+ 1 3.20000+ 1 5.42414- 2 4.19300- 5 3.20000+ 1 3.30000+ 1 2.35835- 1 4.29500- 5 3.20000+ 1 4.10000+ 1 3.45429- 2 4.33900- 5 3.30000+ 1 3.30000+ 1 3.55677- 3 4.39700- 5 3.30000+ 1 4.10000+ 1 3.91222- 3 4.44100- 5 4.10000+ 1 4.10000+ 1 2.36960- 6 4.48500- 5 1 75000 0 7 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 5.63252- 9 3.98800- 5 3.30000+ 1 5.35792- 8 4.09000- 5 4.10000+ 1 1.11510- 8 4.13400- 5 1 75000 0 9 1.86207+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 3.14071- 2 3.03600- 5 3.20000+ 1 3.30000+ 1 6.45804- 1 3.13800- 5 3.20000+ 1 4.10000+ 1 5.70723- 2 3.18200- 5 3.30000+ 1 3.30000+ 1 1.53331- 1 3.24000- 5 3.30000+ 1 4.10000+ 1 1.09530- 1 3.28400- 5 4.10000+ 1 4.10000+ 1 2.85571- 3 3.32800- 5 1 76000 0 0 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 2.40000+ 0 3.30000+ 1 3.60000+ 0 4.10000+ 1 2.00000+ 0 1 76000 0 0 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.40660- 2 3.00000+ 0 1.29500- 2 5.00000+ 0 1.24240- 2 6.00000+ 0 1.08770- 2 8.00000+ 0 3.03000- 3 1.00000+ 1 2.79020- 3 1.10000+ 1 2.45170- 3 1.30000+ 1 2.04450- 3 1.40000+ 1 1.97090- 3 1.60000+ 1 6.48030- 4 1.80000+ 1 5.46070- 4 1.90000+ 1 4.66230- 4 2.10000+ 1 2.97080- 4 2.20000+ 1 2.82290- 4 2.40000+ 1 6.62100- 5 2.50000+ 1 6.32600- 5 2.70000+ 1 9.81200- 5 2.90000+ 1 6.60100- 5 3.00000+ 1 5.31500- 5 3.20000+ 1 1.07900- 5 3.30000+ 1 9.60000- 6 4.10000+ 1 8.39000- 6 1 76000 0 0 1.90200+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.01420- 1 3.00000+ 0 2.39940- 2 5.00000+ 0 2.39840- 2 6.00000+ 0 1.80690- 2 8.00000+ 0 7.61300- 3 1.00000+ 1 7.50690- 3 1.10000+ 1 6.05630- 3 1.30000+ 1 5.91500- 3 1.40000+ 1 5.59820- 3 1.60000+ 1 2.45870- 3 1.80000+ 1 2.33890- 3 1.90000+ 1 1.90590- 3 2.10000+ 1 1.69230- 3 2.20000+ 1 1.60140- 3 2.40000+ 1 1.20730- 3 2.50000+ 1 1.17690- 3 2.70000+ 1 5.76810- 4 2.90000+ 1 4.83530- 4 3.00000+ 1 3.83710- 4 3.20000+ 1 1.98330- 4 3.30000+ 1 1.81700- 4 4.10000+ 1 6.70100- 5 1 76000 0 0 1.90200+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.37210-11 3.00000+ 0 3.91950-10 5.00000+ 0 3.23140-10 6.00000+ 0 3.66430-10 8.00000+ 0 1.01910- 9 1.00000+ 1 9.65400-10 1.10000+ 1 1.04530- 9 1.30000+ 1 9.11340-10 1.40000+ 1 9.36050-10 1.60000+ 1 2.27100- 9 1.80000+ 1 2.28800- 9 1.90000+ 1 2.46330- 9 2.10000+ 1 2.52390- 9 2.20000+ 1 2.58190- 9 2.40000+ 1 2.83870- 9 2.50000+ 1 2.87800- 9 2.70000+ 1 5.25180- 9 2.90000+ 1 5.71130- 9 3.00000+ 1 6.22490- 9 3.20000+ 1 8.76580- 9 3.30000+ 1 9.12880- 9 4.10000+ 1 1.55240- 8 1 76000 0 0 1.90200+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.17720- 5 3.00000+ 0 9.19990- 7 5.00000+ 0 1.60300- 6 6.00000+ 0 1.41730- 6 8.00000+ 0 3.27030- 8 1.00000+ 1 3.51620- 8 1.10000+ 1 3.72170- 8 1.30000+ 1 4.51960- 8 1.40000+ 1 4.24420- 8 1.60000+ 1 1.03320- 9 1.80000+ 1 1.74720- 9 1.90000+ 1 1.07090- 9 2.10000+ 1 1.28940- 9 2.20000+ 1 1.12050- 9 2.70000+ 1 5.33690-11 2.90000+ 1 5.98220-11 3.00000+ 1 3.84750-11 1 76000 0 0 1.90200+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.84350- 6 3.00000+ 0 1.21950- 5 5.00000+ 0 3.34940- 6 6.00000+ 0 3.48820- 6 8.00000+ 0 1.79480- 5 1.00000+ 1 1.20260- 5 1.10000+ 1 1.06800- 5 1.30000+ 1 2.35410- 6 1.40000+ 1 1.84350- 6 1.60000+ 1 1.48480- 5 1.80000+ 1 1.36940- 5 1.90000+ 1 9.85430- 6 2.10000+ 1 7.68000- 6 2.20000+ 1 7.13330- 6 2.70000+ 1 1.07930- 5 2.90000+ 1 4.80170- 6 3.00000+ 1 3.47880- 6 1 76000 0 0 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.33461- 4 3.00000+ 0 4.71079- 4 5.00000+ 0 3.45935- 4 6.00000+ 0 3.35020- 4 8.00000+ 0 3.19312- 4 1.00000+ 1 2.75489- 4 1.10000+ 1 2.51650- 4 1.30000+ 1 1.93203- 4 1.40000+ 1 1.84175- 4 1.60000+ 1 1.52076- 4 1.80000+ 1 1.50469- 4 1.90000+ 1 1.43031- 4 2.10000+ 1 1.14331- 4 2.20000+ 1 1.10560- 4 2.40000+ 1 6.62100- 5 2.50000+ 1 6.32600- 5 2.70000+ 1 3.15885- 5 2.90000+ 1 2.63993- 5 3.00000+ 1 1.99027- 5 3.20000+ 1 1.07900- 5 3.30000+ 1 9.60000- 6 4.10000+ 1 8.39000- 6 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.24812+ 0 3.00000+ 0 3.49309- 1 5.00000+ 0 3.95219- 1 6.00000+ 0 3.20525- 1 8.00000+ 0 2.53737- 2 1.00000+ 1 2.53758- 2 1.10000+ 1 2.40116- 2 1.30000+ 1 2.62878- 2 1.40000+ 1 2.48346- 2 1.60000+ 1 8.69443- 4 1.80000+ 1 1.09627- 3 1.90000+ 1 4.84624- 4 2.10000+ 1 1.70280- 4 2.20000+ 1 1.59299- 4 2.70000+ 1 4.23829- 6 2.90000+ 1 5.66975- 7 3.00000+ 1 1.20040- 7 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.43100- 2 3.00000+ 0 2.97796- 3 5.00000+ 0 3.84537- 3 6.00000+ 0 2.66386- 3 8.00000+ 0 4.90830- 5 1.00000+ 1 4.89706- 5 1.10000+ 1 4.55563- 5 1.30000+ 1 5.00790- 5 1.40000+ 1 4.61245- 5 1.60000+ 1 2.69553- 7 1.80000+ 1 3.05957- 7 1.90000+ 1 1.21643- 7 2.10000+ 1 3.92563- 8 2.20000+ 1 3.50868- 8 2.70000+ 1 1.84479-10 2.90000+ 1 3.05849-11 3.00000+ 1 5.23595-12 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.54935+ 0 3.00000+ 0 9.61885+ 0 5.00000+ 0 6.80078+ 0 6.00000+ 0 6.51674+ 0 8.00000+ 0 6.44041+ 0 1.00000+ 1 5.31043+ 0 1.10000+ 1 4.73163+ 0 1.30000+ 1 3.15349+ 0 1.40000+ 1 3.02757+ 0 1.60000+ 1 4.01220+ 0 1.80000+ 1 2.86353+ 0 1.90000+ 1 2.81294+ 0 2.10000+ 1 1.40997+ 0 2.20000+ 1 1.41922+ 0 2.70000+ 1 2.14541+ 0 2.90000+ 1 1.59295+ 0 3.00000+ 1 1.00000+ 0 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.42251- 3 3.00000+ 0 9.50096- 3 5.00000+ 0 8.23270- 3 6.00000+ 0 7.87812- 3 8.00000+ 0 2.66161- 3 1.00000+ 1 2.46574- 3 1.10000+ 1 2.15449- 3 1.30000+ 1 1.80122- 3 1.40000+ 1 1.74060- 3 1.60000+ 1 4.95684- 4 1.80000+ 1 3.95295- 4 1.90000+ 1 3.23078- 4 2.10000+ 1 1.82709- 4 2.20000+ 1 1.71695- 4 2.70000+ 1 6.65313- 5 2.90000+ 1 3.96106- 5 3.00000+ 1 3.32473- 5 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.77960- 1 6.16420- 2 6.00000+ 0 4.78841- 1 6.31890- 2 1.00000+ 1 5.19851- 2 7.12758- 2 1.10000+ 1 1.00480- 1 7.16143- 2 1.30000+ 1 1.19460- 3 7.20215- 2 1.40000+ 1 1.49180- 3 7.20951- 2 1.80000+ 1 1.19700- 2 7.35199- 2 1.90000+ 1 2.32740- 2 7.35998- 2 2.10000+ 1 2.95820- 4 7.37689- 2 2.20000+ 1 3.67951- 4 7.37837- 2 2.90000+ 1 2.73420- 3 7.40000- 2 3.00000+ 1 5.52131- 3 7.40128- 2 3.20000+ 1 1.55170- 5 7.40552- 2 3.30000+ 1 1.86500- 5 7.40564- 2 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.46689- 3 4.81660- 2 3.00000+ 0 5.00000+ 0 6.62378- 3 4.86920- 2 3.00000+ 0 6.00000+ 0 4.35371- 3 5.02390- 2 3.00000+ 0 8.00000+ 0 1.77472- 3 5.80860- 2 3.00000+ 0 1.00000+ 1 1.41507- 3 5.83258- 2 3.00000+ 0 1.10000+ 1 9.91826- 4 5.86643- 2 3.00000+ 0 1.30000+ 1 8.09714- 5 5.90715- 2 3.00000+ 0 1.40000+ 1 6.56289- 5 5.91451- 2 3.00000+ 0 1.60000+ 1 4.33193- 4 6.04680- 2 3.00000+ 0 1.80000+ 1 3.35711- 4 6.05699- 2 3.00000+ 0 1.90000+ 1 2.33387- 4 6.06498- 2 3.00000+ 0 2.10000+ 1 1.98697- 5 6.08189- 2 3.00000+ 0 2.20000+ 1 1.58572- 5 6.08337- 2 3.00000+ 0 2.40000+ 1 6.47253- 8 6.10498- 2 3.00000+ 0 2.50000+ 1 6.47253- 8 6.10527- 2 3.00000+ 0 2.70000+ 1 8.07744- 5 6.10179- 2 3.00000+ 0 2.90000+ 1 5.37852- 5 6.10500- 2 3.00000+ 0 3.00000+ 1 3.58575- 5 6.10628- 2 3.00000+ 0 3.20000+ 1 1.48862- 6 6.11052- 2 3.00000+ 0 3.30000+ 1 3.88326- 7 6.11064- 2 5.00000+ 0 5.00000+ 0 4.31781- 4 4.92180- 2 5.00000+ 0 6.00000+ 0 8.01639- 3 5.07650- 2 5.00000+ 0 8.00000+ 0 1.12985- 3 5.86120- 2 5.00000+ 0 1.00000+ 1 1.62075- 4 5.88518- 2 5.00000+ 0 1.10000+ 1 1.52064- 3 5.91903- 2 5.00000+ 0 1.30000+ 1 8.51809- 5 5.95975- 2 5.00000+ 0 1.40000+ 1 2.37546- 4 5.96711- 2 5.00000+ 0 1.60000+ 1 2.66490- 4 6.09940- 2 5.00000+ 0 1.80000+ 1 3.73478- 5 6.10959- 2 5.00000+ 0 1.90000+ 1 3.43622- 4 6.11758- 2 5.00000+ 0 2.10000+ 1 2.01944- 5 6.13449- 2 5.00000+ 0 2.20000+ 1 5.62475- 5 6.13597- 2 5.00000+ 0 2.40000+ 1 5.17835- 7 6.15758- 2 5.00000+ 0 2.50000+ 1 7.76732- 7 6.15787- 2 5.00000+ 0 2.70000+ 1 4.93238- 5 6.15439- 2 5.00000+ 0 2.90000+ 1 5.95496- 6 6.15760- 2 5.00000+ 0 3.00000+ 1 5.22970- 5 6.15888- 2 5.00000+ 0 3.20000+ 1 1.48869- 6 6.16312- 2 5.00000+ 0 3.30000+ 1 1.29448- 6 6.16324- 2 6.00000+ 0 6.00000+ 0 3.55825- 3 5.23120- 2 6.00000+ 0 8.00000+ 0 6.83756- 4 6.01590- 2 6.00000+ 0 1.00000+ 1 1.40909- 3 6.03988- 2 6.00000+ 0 1.10000+ 1 1.39478- 3 6.07373- 2 6.00000+ 0 1.30000+ 1 2.68144- 4 6.11445- 2 6.00000+ 0 1.40000+ 1 2.28351- 4 6.12181- 2 6.00000+ 0 1.60000+ 1 1.58192- 4 6.25410- 2 6.00000+ 0 1.80000+ 1 3.20720- 4 6.26429- 2 6.00000+ 0 1.90000+ 1 3.17929- 4 6.27228- 2 6.00000+ 0 2.10000+ 1 6.40787- 5 6.28919- 2 6.00000+ 0 2.20000+ 1 5.42421- 5 6.29067- 2 6.00000+ 0 2.40000+ 1 8.41439- 7 6.31228- 2 6.00000+ 0 2.50000+ 1 9.06161- 7 6.31257- 2 6.00000+ 0 2.70000+ 1 2.91268- 5 6.30909- 2 6.00000+ 0 2.90000+ 1 5.09411- 5 6.31230- 2 6.00000+ 0 3.00000+ 1 4.84804- 5 6.31358- 2 6.00000+ 0 3.20000+ 1 4.78974- 6 6.31782- 2 6.00000+ 0 3.30000+ 1 1.29446- 6 6.31794- 2 8.00000+ 0 8.00000+ 0 1.73400- 4 6.80060- 2 8.00000+ 0 1.00000+ 1 2.42272- 4 6.82458- 2 8.00000+ 0 1.10000+ 1 1.57217- 4 6.85843- 2 8.00000+ 0 1.30000+ 1 1.24270- 5 6.89915- 2 8.00000+ 0 1.40000+ 1 9.51456- 6 6.90651- 2 8.00000+ 0 1.60000+ 1 8.44022- 5 7.03880- 2 8.00000+ 0 1.80000+ 1 5.75401- 5 7.04899- 2 8.00000+ 0 1.90000+ 1 3.70878- 5 7.05698- 2 8.00000+ 0 2.10000+ 1 3.04205- 6 7.07389- 2 8.00000+ 0 2.20000+ 1 2.26536- 6 7.07537- 2 8.00000+ 0 2.70000+ 1 1.57279- 5 7.09379- 2 8.00000+ 0 2.90000+ 1 9.25541- 6 7.09700- 2 8.00000+ 0 3.00000+ 1 5.69571- 6 7.09828- 2 8.00000+ 0 3.20000+ 1 2.58891- 7 7.10252- 2 8.00000+ 0 3.30000+ 1 6.47271- 8 7.10264- 2 1.00000+ 1 1.00000+ 1 1.48225- 5 6.84856- 2 1.00000+ 1 1.10000+ 1 2.74383- 4 6.88241- 2 1.00000+ 1 1.30000+ 1 1.26864- 5 6.92313- 2 1.00000+ 1 1.40000+ 1 3.17146- 5 6.93049- 2 1.00000+ 1 1.60000+ 1 5.71508- 5 7.06278- 2 1.00000+ 1 1.80000+ 1 6.79596- 6 7.07297- 2 1.00000+ 1 1.90000+ 1 6.23295- 5 7.08096- 2 1.00000+ 1 2.10000+ 1 3.04209- 6 7.09787- 2 1.00000+ 1 2.20000+ 1 7.57307- 6 7.09935- 2 1.00000+ 1 2.40000+ 1 6.47280- 8 7.12096- 2 1.00000+ 1 2.50000+ 1 6.47280- 8 7.12125- 2 1.00000+ 1 2.70000+ 1 1.06148- 5 7.11777- 2 1.00000+ 1 2.90000+ 1 1.10038- 6 7.12098- 2 1.00000+ 1 3.00000+ 1 9.51469- 6 7.12226- 2 1.00000+ 1 3.20000+ 1 2.58895- 7 7.12650- 2 1.00000+ 1 3.30000+ 1 1.94172- 7 7.12662- 2 1.10000+ 1 1.10000+ 1 1.37931- 4 6.91626- 2 1.10000+ 1 1.30000+ 1 4.18763- 5 6.95698- 2 1.10000+ 1 1.40000+ 1 3.45648- 5 6.96434- 2 1.10000+ 1 1.60000+ 1 3.64404- 5 7.09663- 2 1.10000+ 1 1.80000+ 1 6.27798- 5 7.10682- 2 1.10000+ 1 1.90000+ 1 6.29779- 5 7.11481- 2 1.10000+ 1 2.10000+ 1 1.00969- 5 7.13172- 2 1.10000+ 1 2.20000+ 1 8.28501- 6 7.13320- 2 1.10000+ 1 2.40000+ 1 1.29445- 7 7.15481- 2 1.10000+ 1 2.50000+ 1 1.29445- 7 7.15510- 2 1.10000+ 1 2.70000+ 1 6.73142- 6 7.15162- 2 1.10000+ 1 2.90000+ 1 9.96757- 6 7.15483- 2 1.10000+ 1 3.00000+ 1 9.57947- 6 7.15611- 2 1.10000+ 1 3.20000+ 1 7.76714- 7 7.16035- 2 1.10000+ 1 3.30000+ 1 1.94169- 7 7.16047- 2 1.30000+ 1 1.30000+ 1 6.47253- 8 6.99770- 2 1.30000+ 1 1.40000+ 1 4.98339- 6 7.00506- 2 1.30000+ 1 1.60000+ 1 2.91260- 6 7.13735- 2 1.30000+ 1 1.80000+ 1 2.78314- 6 7.14754- 2 1.30000+ 1 1.90000+ 1 9.06137- 6 7.15553- 2 1.30000+ 1 2.10000+ 1 6.47253- 8 7.17244- 2 1.30000+ 1 2.20000+ 1 1.16506- 6 7.17392- 2 1.30000+ 1 2.70000+ 1 5.17811- 7 7.19234- 2 1.30000+ 1 2.90000+ 1 4.53048- 7 7.19555- 2 1.30000+ 1 3.00000+ 1 1.35916- 6 7.19683- 2 1.40000+ 1 1.40000+ 1 1.16506- 6 7.01242- 2 1.40000+ 1 1.60000+ 1 2.20057- 6 7.14471- 2 1.40000+ 1 1.80000+ 1 6.79568- 6 7.15490- 2 1.40000+ 1 1.90000+ 1 7.44288- 6 7.16289- 2 1.40000+ 1 2.10000+ 1 1.16506- 6 7.17980- 2 1.40000+ 1 2.20000+ 1 5.17811- 7 7.18128- 2 1.40000+ 1 2.70000+ 1 3.88327- 7 7.19970- 2 1.40000+ 1 2.90000+ 1 1.03558- 6 7.20291- 2 1.40000+ 1 3.00000+ 1 1.10034- 6 7.20419- 2 1.40000+ 1 3.20000+ 1 6.47253- 8 7.20843- 2 1.60000+ 1 1.60000+ 1 1.02434- 5 7.27699- 2 1.60000+ 1 1.80000+ 1 1.36141- 5 7.28719- 2 1.60000+ 1 1.90000+ 1 8.62221- 6 7.29517- 2 1.60000+ 1 2.10000+ 1 7.13154- 7 7.31209- 2 1.60000+ 1 2.20000+ 1 5.18669- 7 7.31357- 2 1.60000+ 1 2.70000+ 1 3.82487- 6 7.33198- 2 1.60000+ 1 2.90000+ 1 2.20422- 6 7.33520- 2 1.60000+ 1 3.00000+ 1 1.29657- 6 7.33648- 2 1.60000+ 1 3.20000+ 1 6.48326- 8 7.34072- 2 1.80000+ 1 1.80000+ 1 7.76722- 7 7.29739- 2 1.80000+ 1 1.90000+ 1 1.43047- 5 7.30537- 2 1.80000+ 1 2.10000+ 1 6.47275- 7 7.32228- 2 1.80000+ 1 2.20000+ 1 1.61814- 6 7.32376- 2 1.80000+ 1 2.70000+ 1 2.52420- 6 7.34218- 2 1.80000+ 1 2.90000+ 1 2.58893- 7 7.34539- 2 1.80000+ 1 3.00000+ 1 2.20065- 6 7.34668- 2 1.80000+ 1 3.20000+ 1 6.47275- 8 7.35091- 2 1.80000+ 1 3.30000+ 1 6.47275- 8 7.35103- 2 1.90000+ 1 1.90000+ 1 6.91472- 6 7.31335- 2 1.90000+ 1 2.10000+ 1 2.11804- 6 7.33027- 2 1.90000+ 1 2.20000+ 1 1.74431- 6 7.33175- 2 1.90000+ 1 2.70000+ 1 1.55740- 6 7.35016- 2 1.90000+ 1 2.90000+ 1 2.18034- 6 7.35338- 2 1.90000+ 1 3.00000+ 1 2.11804- 6 7.35466- 2 1.90000+ 1 3.20000+ 1 1.86882- 7 7.35890- 2 1.90000+ 1 3.30000+ 1 6.22978- 8 7.35902- 2 2.10000+ 1 2.20000+ 1 2.75154- 7 7.34866- 2 2.10000+ 1 2.70000+ 1 1.37577- 7 7.36708- 2 2.10000+ 1 2.90000+ 1 1.37577- 7 7.37029- 2 2.10000+ 1 3.00000+ 1 3.43943- 7 7.37158- 2 2.20000+ 1 2.20000+ 1 6.90517- 8 7.35014- 2 2.20000+ 1 2.70000+ 1 6.90517- 8 7.36856- 2 2.20000+ 1 2.90000+ 1 2.76189- 7 7.37177- 2 2.20000+ 1 3.00000+ 1 2.76189- 7 7.37306- 2 2.70000+ 1 2.70000+ 1 3.88351- 7 7.38698- 2 2.70000+ 1 2.90000+ 1 3.88351- 7 7.39019- 2 2.70000+ 1 3.00000+ 1 2.58900- 7 7.39147- 2 2.90000+ 1 3.00000+ 1 3.33071- 7 7.39468- 2 3.00000+ 1 3.00000+ 1 1.56280- 7 7.39597- 2 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.05399- 5 5.26000- 4 6.00000+ 0 1.53689- 3 2.07300- 3 1.00000+ 1 2.31599- 2 1.01598- 2 1.10000+ 1 2.81029- 2 1.04983- 2 1.30000+ 1 7.11366- 4 1.09055- 2 1.40000+ 1 1.06509- 3 1.09791- 2 1.80000+ 1 5.75727- 3 1.24039- 2 1.90000+ 1 7.44516- 3 1.24838- 2 2.10000+ 1 1.02629- 4 1.26529- 2 2.20000+ 1 1.60809- 4 1.26677- 2 2.90000+ 1 9.53485- 4 1.28840- 2 3.00000+ 1 1.19919- 3 1.28968- 2 3.20000+ 1 5.12707- 6 1.29392- 2 3.30000+ 1 7.80356- 6 1.29404- 2 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.80000+ 1 1.55937- 2 0.00000+ 0 5.00000+ 0 1.90000+ 1 1.65725- 2 5.97700- 5 5.00000+ 0 2.10000+ 1 4.60884- 3 2.28920- 4 5.00000+ 0 2.20000+ 1 6.38056- 3 2.43710- 4 5.00000+ 0 2.40000+ 1 1.35792- 2 4.59790- 4 5.00000+ 0 2.50000+ 1 1.79322- 2 4.62740- 4 5.00000+ 0 2.70000+ 1 3.71073- 3 4.27880- 4 5.00000+ 0 2.90000+ 1 2.49428- 3 4.59990- 4 5.00000+ 0 3.00000+ 1 2.43239- 3 4.72850- 4 5.00000+ 0 3.20000+ 1 3.46628- 4 5.15210- 4 5.00000+ 0 3.30000+ 1 1.54547- 4 5.16400- 4 6.00000+ 0 1.30000+ 1 2.26824- 1 2.85000- 5 6.00000+ 0 1.40000+ 1 3.14425- 1 1.02100- 4 6.00000+ 0 1.60000+ 1 1.96010- 2 1.42497- 3 6.00000+ 0 1.80000+ 1 7.93677- 3 1.52693- 3 6.00000+ 0 1.90000+ 1 1.25404- 2 1.60677- 3 6.00000+ 0 2.10000+ 1 2.85901- 2 1.77592- 3 6.00000+ 0 2.20000+ 1 3.45449- 2 1.79071- 3 6.00000+ 0 2.40000+ 1 2.01879- 2 2.00679- 3 6.00000+ 0 2.50000+ 1 2.52938- 2 2.00974- 3 6.00000+ 0 2.70000+ 1 3.49738- 3 1.97488- 3 6.00000+ 0 2.90000+ 1 1.24155- 3 2.00699- 3 6.00000+ 0 3.00000+ 1 1.90281- 3 2.01985- 3 6.00000+ 0 3.20000+ 1 1.98929- 3 2.06221- 3 6.00000+ 0 3.30000+ 1 7.51546- 4 2.06340- 3 8.00000+ 0 8.00000+ 0 4.94094- 3 6.89000- 3 8.00000+ 0 1.00000+ 1 1.00728- 2 7.12980- 3 8.00000+ 0 1.10000+ 1 1.66224- 2 7.46830- 3 8.00000+ 0 1.30000+ 1 1.25773- 2 7.87550- 3 8.00000+ 0 1.40000+ 1 1.65584- 2 7.94910- 3 8.00000+ 0 1.60000+ 1 2.04596- 3 9.27197- 3 8.00000+ 0 1.80000+ 1 2.35030- 3 9.37393- 3 8.00000+ 0 1.90000+ 1 3.80948- 3 9.45377- 3 8.00000+ 0 2.10000+ 1 2.56605- 3 9.62292- 3 8.00000+ 0 2.20000+ 1 3.34349- 3 9.63771- 3 8.00000+ 0 2.40000+ 1 1.83791- 4 9.85379- 3 8.00000+ 0 2.50000+ 1 2.06805- 4 9.85674- 3 8.00000+ 0 2.70000+ 1 3.71941- 4 9.82188- 3 8.00000+ 0 2.90000+ 1 3.75249- 4 9.85399- 3 8.00000+ 0 3.00000+ 1 5.81236- 4 9.86685- 3 8.00000+ 0 3.20000+ 1 1.87520- 4 9.90921- 3 8.00000+ 0 3.30000+ 1 7.69575- 5 9.91040- 3 1.00000+ 1 1.00000+ 1 2.48927- 5 7.36960- 3 1.00000+ 1 1.10000+ 1 2.22582- 4 7.70810- 3 1.00000+ 1 1.30000+ 1 5.93063- 4 8.11530- 3 1.00000+ 1 1.40000+ 1 5.27227- 3 8.18890- 3 1.00000+ 1 1.60000+ 1 1.64554- 3 9.51177- 3 1.00000+ 1 1.80000+ 1 3.73390- 6 9.61373- 3 1.00000+ 1 1.90000+ 1 4.50134- 5 9.69357- 3 1.00000+ 1 2.10000+ 1 1.09727- 4 9.86272- 3 1.00000+ 1 2.20000+ 1 6.81224- 4 9.87751- 3 1.00000+ 1 2.40000+ 1 6.55500- 5 1.00936- 2 1.00000+ 1 2.50000+ 1 2.29841- 4 1.00965- 2 1.00000+ 1 2.70000+ 1 2.82739- 4 1.00617- 2 1.00000+ 1 2.90000+ 1 4.14871- 7 1.00938- 2 1.00000+ 1 3.00000+ 1 6.63797- 6 1.01066- 2 1.00000+ 1 3.20000+ 1 8.08996- 6 1.01490- 2 1.00000+ 1 3.30000+ 1 1.47289- 5 1.01502- 2 1.10000+ 1 1.10000+ 1 4.79180- 4 8.04660- 3 1.10000+ 1 1.30000+ 1 2.07446- 3 8.45380- 3 1.10000+ 1 1.40000+ 1 1.28963- 3 8.52740- 3 1.10000+ 1 1.60000+ 1 2.68734- 3 9.85027- 3 1.10000+ 1 1.80000+ 1 5.04075- 5 9.95223- 3 1.10000+ 1 1.90000+ 1 1.63666- 4 1.00321- 2 1.10000+ 1 2.10000+ 1 1.82962- 4 1.02012- 2 1.10000+ 1 2.20000+ 1 1.03708- 4 1.02160- 2 1.10000+ 1 2.40000+ 1 1.32342- 4 1.04321- 2 1.10000+ 1 2.50000+ 1 1.09317- 4 1.04350- 2 1.10000+ 1 2.70000+ 1 4.60924- 4 1.04002- 2 1.10000+ 1 2.90000+ 1 7.88255- 6 1.04323- 2 1.10000+ 1 3.00000+ 1 2.36480- 5 1.04451- 2 1.10000+ 1 3.20000+ 1 1.16166- 5 1.04875- 2 1.10000+ 1 3.30000+ 1 2.07446- 6 1.04887- 2 1.30000+ 1 1.30000+ 1 7.46790- 4 8.86100- 3 1.30000+ 1 1.40000+ 1 2.29344- 2 8.93460- 3 1.30000+ 1 1.60000+ 1 1.87733- 3 1.02575- 2 1.30000+ 1 1.80000+ 1 1.69476- 4 1.03594- 2 1.30000+ 1 1.90000+ 1 5.24825- 4 1.04393- 2 1.30000+ 1 2.10000+ 1 2.97260- 4 1.06084- 2 1.30000+ 1 2.20000+ 1 3.24704- 3 1.06232- 2 1.30000+ 1 2.40000+ 1 2.02670- 4 1.08393- 2 1.30000+ 1 2.50000+ 1 5.62997- 4 1.08422- 2 1.30000+ 1 2.70000+ 1 3.17176- 4 1.08074- 2 1.30000+ 1 2.90000+ 1 2.80044- 5 1.08395- 2 1.30000+ 1 3.00000+ 1 8.13197- 5 1.08523- 2 1.30000+ 1 3.20000+ 1 2.15737- 5 1.08947- 2 1.30000+ 1 3.30000+ 1 7.09447- 5 1.08959- 2 1.40000+ 1 1.40000+ 1 6.38432- 3 9.00820- 3 1.40000+ 1 1.60000+ 1 2.50364- 3 1.03311- 2 1.40000+ 1 1.80000+ 1 1.09610- 3 1.04330- 2 1.40000+ 1 1.90000+ 1 3.38958- 4 1.05129- 2 1.40000+ 1 2.10000+ 1 3.16822- 3 1.06820- 2 1.40000+ 1 2.20000+ 1 1.90724- 3 1.06968- 2 1.40000+ 1 2.40000+ 1 6.23366- 4 1.09129- 2 1.40000+ 1 2.50000+ 1 4.74423- 4 1.09158- 2 1.40000+ 1 2.70000+ 1 4.25052- 4 1.08810- 2 1.40000+ 1 2.90000+ 1 1.71349- 4 1.09131- 2 1.40000+ 1 3.00000+ 1 5.31053- 5 1.09259- 2 1.40000+ 1 3.20000+ 1 2.18020- 4 1.09683- 2 1.40000+ 1 3.30000+ 1 4.21113- 5 1.09695- 2 1.60000+ 1 1.60000+ 1 2.00179- 4 1.16539- 2 1.60000+ 1 1.80000+ 1 3.85421- 4 1.17559- 2 1.60000+ 1 1.90000+ 1 6.18583- 4 1.18357- 2 1.60000+ 1 2.10000+ 1 3.83561- 4 1.20049- 2 1.60000+ 1 2.20000+ 1 5.03447- 4 1.20197- 2 1.60000+ 1 2.40000+ 1 2.26114- 5 1.22358- 2 1.60000+ 1 2.50000+ 1 2.46849- 5 1.22387- 2 1.60000+ 1 2.70000+ 1 7.19812- 5 1.22038- 2 1.60000+ 1 2.90000+ 1 6.16093- 5 1.22360- 2 1.60000+ 1 3.00000+ 1 9.43886- 5 1.22488- 2 1.60000+ 1 3.20000+ 1 2.80043- 5 1.22912- 2 1.60000+ 1 3.30000+ 1 1.16166- 5 1.22924- 2 1.80000+ 1 1.90000+ 1 1.01638- 5 1.19377- 2 1.80000+ 1 2.10000+ 1 2.73820- 5 1.21068- 2 1.80000+ 1 2.20000+ 1 1.46868- 4 1.21216- 2 1.80000+ 1 2.40000+ 1 8.92006- 6 1.23377- 2 1.80000+ 1 2.50000+ 1 3.54713- 5 1.23407- 2 1.80000+ 1 2.70000+ 1 6.61727- 5 1.23058- 2 1.80000+ 1 3.00000+ 1 1.45199- 6 1.23508- 2 1.80000+ 1 3.20000+ 1 1.86690- 6 1.23931- 2 1.80000+ 1 3.30000+ 1 3.11152- 6 1.23943- 2 1.90000+ 1 1.90000+ 1 1.34843- 5 1.20175- 2 1.90000+ 1 2.10000+ 1 5.22756- 5 1.21867- 2 1.90000+ 1 2.20000+ 1 3.25685- 5 1.22015- 2 1.90000+ 1 2.40000+ 1 2.51000- 5 1.24176- 2 1.90000+ 1 2.50000+ 1 2.03290- 5 1.24205- 2 1.90000+ 1 2.70000+ 1 1.06219- 4 1.23856- 2 1.90000+ 1 2.90000+ 1 1.65957- 6 1.24178- 2 1.90000+ 1 3.00000+ 1 3.94132- 6 1.24306- 2 1.90000+ 1 3.20000+ 1 3.31904- 6 1.24730- 2 1.90000+ 1 3.30000+ 1 6.22317- 7 1.24742- 2 2.10000+ 1 2.10000+ 1 2.73824- 5 1.23558- 2 2.10000+ 1 2.20000+ 1 4.89760- 4 1.23706- 2 2.10000+ 1 2.40000+ 1 2.80043- 5 1.25867- 2 2.10000+ 1 2.50000+ 1 5.93278- 5 1.25897- 2 2.10000+ 1 2.70000+ 1 6.47207- 5 1.25548- 2 2.10000+ 1 2.90000+ 1 4.35621- 6 1.25869- 2 2.10000+ 1 3.00000+ 1 8.29730- 6 1.25998- 2 2.10000+ 1 3.20000+ 1 3.94129- 6 1.26421- 2 2.10000+ 1 3.30000+ 1 1.07868- 5 1.26433- 2 2.20000+ 1 2.20000+ 1 1.52465- 4 1.23854- 2 2.20000+ 1 2.40000+ 1 6.86606- 5 1.26015- 2 2.20000+ 1 2.50000+ 1 5.82899- 5 1.26044- 2 2.20000+ 1 2.70000+ 1 8.52588- 5 1.25696- 2 2.20000+ 1 2.90000+ 1 2.30258- 5 1.26017- 2 2.20000+ 1 3.00000+ 1 5.18594- 6 1.26146- 2 2.20000+ 1 3.20000+ 1 3.42263- 5 1.26569- 2 2.20000+ 1 3.30000+ 1 6.84536- 6 1.26581- 2 2.40000+ 1 2.40000+ 1 1.02797- 6 1.28176- 2 2.40000+ 1 2.50000+ 1 1.95325- 5 1.28205- 2 2.40000+ 1 2.70000+ 1 6.16795- 6 1.27857- 2 2.40000+ 1 2.90000+ 1 2.05599- 6 1.28178- 2 2.40000+ 1 3.00000+ 1 6.16795- 6 1.28306- 2 2.40000+ 1 3.20000+ 1 3.08389- 6 1.28730- 2 2.40000+ 1 3.30000+ 1 2.39851- 6 1.28742- 2 2.50000+ 1 2.50000+ 1 4.32606- 6 1.28235- 2 2.50000+ 1 2.70000+ 1 6.84946- 6 1.27886- 2 2.50000+ 1 2.90000+ 1 9.01267- 6 1.28207- 2 2.50000+ 1 3.00000+ 1 5.04714- 6 1.28336- 2 2.50000+ 1 3.20000+ 1 6.84946- 6 1.28759- 2 2.50000+ 1 3.30000+ 1 2.16304- 6 1.28771- 2 2.70000+ 1 2.70000+ 1 1.93528- 5 1.27538- 2 2.70000+ 1 2.90000+ 1 3.18369- 5 1.27859- 2 2.70000+ 1 3.00000+ 1 4.86927- 5 1.27987- 2 2.70000+ 1 3.20000+ 1 1.43586- 5 1.28411- 2 2.70000+ 1 3.30000+ 1 5.61847- 6 1.28423- 2 2.90000+ 1 3.00000+ 1 1.69854- 6 1.28308- 2 2.90000+ 1 3.20000+ 1 3.39691- 6 1.28732- 2 2.90000+ 1 3.30000+ 1 3.39691- 6 1.28744- 2 3.00000+ 1 3.00000+ 1 8.37239- 7 1.28437- 2 3.00000+ 1 3.20000+ 1 2.51160- 6 1.28861- 2 3.00000+ 1 3.30000+ 1 8.37239- 7 1.28872- 2 3.20000+ 1 3.20000+ 1 2.23932- 7 1.29284- 2 3.20000+ 1 3.30000+ 1 8.95663- 7 1.29296- 2 3.30000+ 1 3.30000+ 1 3.10338- 7 1.29308- 2 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 4.40747- 6 1.54700- 3 8.00000+ 0 7.15755- 3 9.39400- 3 1.10000+ 1 2.44538- 4 9.97230- 3 1.30000+ 1 2.59988- 1 1.03795- 2 1.60000+ 1 1.75479- 3 1.17760- 2 1.90000+ 1 6.44366- 5 1.19578- 2 2.10000+ 1 4.95537- 2 1.21269- 2 2.40000+ 1 1.49999- 4 1.23578- 2 2.70000+ 1 3.43268- 4 1.23259- 2 3.00000+ 1 1.30909- 5 1.23708- 2 3.20000+ 1 2.51868- 3 1.24132- 2 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 6.24825- 3 8.98970- 4 6.00000+ 0 1.80000+ 1 4.07851- 2 1.00093- 3 6.00000+ 0 1.90000+ 1 1.20449- 2 1.08077- 3 6.00000+ 0 2.10000+ 1 4.44378- 2 1.24992- 3 6.00000+ 0 2.20000+ 1 1.54691- 2 1.26471- 3 6.00000+ 0 2.40000+ 1 1.53377- 3 1.48079- 3 6.00000+ 0 2.50000+ 1 2.32155- 3 1.48374- 3 6.00000+ 0 2.70000+ 1 1.06934- 3 1.44888- 3 6.00000+ 0 2.90000+ 1 6.05234- 3 1.48099- 3 6.00000+ 0 3.00000+ 1 1.80308- 3 1.49385- 3 6.00000+ 0 3.20000+ 1 3.13731- 3 1.53621- 3 6.00000+ 0 3.30000+ 1 3.46528- 4 1.53740- 3 8.00000+ 0 8.00000+ 0 6.63819- 4 6.36400- 3 8.00000+ 0 1.00000+ 1 2.13346- 2 6.60380- 3 8.00000+ 0 1.10000+ 1 2.03540- 3 6.94230- 3 8.00000+ 0 1.30000+ 1 2.90596- 3 7.34950- 3 8.00000+ 0 1.40000+ 1 2.17105- 3 7.42310- 3 8.00000+ 0 1.60000+ 1 2.50101- 4 8.74597- 3 8.00000+ 0 1.80000+ 1 3.29919- 3 8.84793- 3 8.00000+ 0 1.90000+ 1 4.16455- 4 8.92777- 3 8.00000+ 0 2.10000+ 1 4.19784- 4 9.09692- 3 8.00000+ 0 2.20000+ 1 2.66634- 4 9.11171- 3 8.00000+ 0 2.40000+ 1 8.81448- 5 9.32779- 3 8.00000+ 0 2.50000+ 1 5.94970- 5 9.33074- 3 8.00000+ 0 2.70000+ 1 4.46223- 5 9.29588- 3 8.00000+ 0 2.90000+ 1 4.87521- 4 9.32799- 3 8.00000+ 0 3.00000+ 1 6.22492- 5 9.34085- 3 8.00000+ 0 3.20000+ 1 2.91980- 5 9.38321- 3 8.00000+ 0 3.30000+ 1 5.50896- 6 9.38440- 3 1.00000+ 1 1.00000+ 1 2.20266- 2 6.84360- 3 1.00000+ 1 1.10000+ 1 5.91891- 2 7.18210- 3 1.00000+ 1 1.30000+ 1 3.11008- 2 7.58930- 3 1.00000+ 1 1.40000+ 1 4.65195- 2 7.66290- 3 1.00000+ 1 1.60000+ 1 5.32628- 3 8.98577- 3 1.00000+ 1 1.80000+ 1 8.67849- 3 9.08773- 3 1.00000+ 1 1.90000+ 1 1.33342- 2 9.16757- 3 1.00000+ 1 2.10000+ 1 6.34259- 3 9.33672- 3 1.00000+ 1 2.20000+ 1 9.43654- 3 9.35151- 3 1.00000+ 1 2.40000+ 1 4.25823- 4 9.56759- 3 1.00000+ 1 2.50000+ 1 3.83406- 4 9.57054- 3 1.00000+ 1 2.70000+ 1 9.97022- 4 9.53568- 3 1.00000+ 1 2.90000+ 1 1.34907- 3 9.56779- 3 1.00000+ 1 3.00000+ 1 2.02830- 3 9.58065- 3 1.00000+ 1 3.20000+ 1 4.63270- 4 9.62301- 3 1.00000+ 1 3.30000+ 1 2.17579- 4 9.62420- 3 1.10000+ 1 1.10000+ 1 1.41421- 3 7.52060- 3 1.10000+ 1 1.30000+ 1 3.05239- 2 7.92780- 3 1.10000+ 1 1.40000+ 1 4.32623- 3 8.00140- 3 1.10000+ 1 1.60000+ 1 4.28593- 4 9.32427- 3 1.10000+ 1 1.80000+ 1 9.38889- 3 9.42623- 3 1.10000+ 1 1.90000+ 1 5.44277- 4 9.50607- 3 1.10000+ 1 2.10000+ 1 5.23953- 3 9.67522- 3 1.10000+ 1 2.20000+ 1 7.09018- 4 9.69001- 3 1.10000+ 1 2.40000+ 1 1.98320- 4 9.90609- 3 1.10000+ 1 2.50000+ 1 1.06869- 4 9.90904- 3 1.10000+ 1 2.70000+ 1 7.76755- 5 9.87418- 3 1.10000+ 1 2.90000+ 1 1.39375- 3 9.90629- 3 1.10000+ 1 3.00000+ 1 8.04287- 5 9.91915- 3 1.10000+ 1 3.20000+ 1 3.72957- 4 9.96151- 3 1.10000+ 1 3.30000+ 1 1.59759- 5 9.96270- 3 1.30000+ 1 1.30000+ 1 2.87767- 2 8.33500- 3 1.30000+ 1 1.40000+ 1 1.16423- 1 8.40860- 3 1.30000+ 1 1.60000+ 1 7.25475- 4 9.73147- 3 1.30000+ 1 1.80000+ 1 4.82233- 3 9.83343- 3 1.30000+ 1 1.90000+ 1 6.40444- 3 9.91327- 3 1.30000+ 1 2.10000+ 1 9.76910- 3 1.00824- 2 1.30000+ 1 2.20000+ 1 2.12573- 2 1.00972- 2 1.30000+ 1 2.40000+ 1 1.57389- 3 1.03133- 2 1.30000+ 1 2.50000+ 1 3.20011- 3 1.03162- 2 1.30000+ 1 2.70000+ 1 1.36064- 4 1.02814- 2 1.30000+ 1 2.90000+ 1 7.18357- 4 1.03135- 2 1.30000+ 1 3.00000+ 1 9.61861- 4 1.03263- 2 1.30000+ 1 3.20000+ 1 6.97402- 4 1.03687- 2 1.30000+ 1 3.30000+ 1 4.83126- 4 1.03699- 2 1.40000+ 1 1.40000+ 1 5.62773- 3 8.48220- 3 1.40000+ 1 1.60000+ 1 4.39059- 4 9.80507- 3 1.40000+ 1 1.80000+ 1 6.37708- 3 9.90703- 3 1.40000+ 1 1.90000+ 1 8.33511- 4 9.98687- 3 1.40000+ 1 2.10000+ 1 1.62907- 2 1.01560- 2 1.40000+ 1 2.20000+ 1 1.86639- 3 1.01708- 2 1.40000+ 1 2.40000+ 1 6.31872- 4 1.03869- 2 1.40000+ 1 2.50000+ 1 2.42934- 4 1.03898- 2 1.40000+ 1 2.70000+ 1 7.87740- 5 1.03550- 2 1.40000+ 1 2.90000+ 1 9.19425- 4 1.03871- 2 1.40000+ 1 3.00000+ 1 1.23403- 4 1.03999- 2 1.40000+ 1 3.20000+ 1 1.12604- 3 1.04423- 2 1.40000+ 1 3.30000+ 1 4.18675- 5 1.04435- 2 1.60000+ 1 1.60000+ 1 2.25862- 5 1.11279- 2 1.60000+ 1 1.80000+ 1 8.28559- 4 1.12299- 2 1.60000+ 1 1.90000+ 1 8.81459- 5 1.13097- 2 1.60000+ 1 2.10000+ 1 1.01365- 4 1.14789- 2 1.60000+ 1 2.20000+ 1 5.45389- 5 1.14937- 2 1.60000+ 1 2.40000+ 1 1.92805- 5 1.17098- 2 1.60000+ 1 2.50000+ 1 1.04674- 5 1.17127- 2 1.60000+ 1 2.70000+ 1 8.26324- 6 1.16778- 2 1.60000+ 1 2.90000+ 1 1.22300- 4 1.17100- 2 1.60000+ 1 3.00000+ 1 1.32216- 5 1.17228- 2 1.60000+ 1 3.20000+ 1 7.16135- 6 1.17652- 2 1.60000+ 1 3.30000+ 1 1.10179- 6 1.17664- 2 1.80000+ 1 1.80000+ 1 8.13097- 4 1.13319- 2 1.80000+ 1 1.90000+ 1 2.11985- 3 1.14117- 2 1.80000+ 1 2.10000+ 1 9.67912- 4 1.15808- 2 1.80000+ 1 2.20000+ 1 1.30562- 3 1.15956- 2 1.80000+ 1 2.40000+ 1 5.34359- 5 1.18117- 2 1.80000+ 1 2.50000+ 1 3.91134- 5 1.18147- 2 1.80000+ 1 2.70000+ 1 1.55347- 4 1.17798- 2 1.80000+ 1 2.90000+ 1 2.50655- 4 1.18119- 2 1.80000+ 1 3.00000+ 1 3.22814- 4 1.18248- 2 1.80000+ 1 3.20000+ 1 7.05145- 5 1.18671- 2 1.80000+ 1 3.30000+ 1 3.02992- 5 1.18683- 2 1.90000+ 1 1.90000+ 1 5.28835- 5 1.14915- 2 1.90000+ 1 2.10000+ 1 1.10787- 3 1.16607- 2 1.90000+ 1 2.20000+ 1 1.39372- 4 1.16755- 2 1.90000+ 1 2.40000+ 1 3.47062- 5 1.18916- 2 1.90000+ 1 2.50000+ 1 1.76278- 5 1.18945- 2 1.90000+ 1 2.70000+ 1 1.59755- 5 1.18596- 2 1.90000+ 1 2.90000+ 1 3.14547- 4 1.18918- 2 1.90000+ 1 3.00000+ 1 1.54241- 5 1.19046- 2 1.90000+ 1 3.20000+ 1 7.87726- 5 1.19470- 2 1.90000+ 1 3.30000+ 1 3.30519- 6 1.19482- 2 2.10000+ 1 2.10000+ 1 8.19722- 4 1.18298- 2 2.10000+ 1 2.20000+ 1 3.09380- 3 1.18446- 2 2.10000+ 1 2.40000+ 1 1.83435- 4 1.20607- 2 2.10000+ 1 2.50000+ 1 3.77337- 4 1.20637- 2 2.10000+ 1 2.70000+ 1 1.87295- 5 1.20288- 2 2.10000+ 1 2.90000+ 1 1.43782- 4 1.20609- 2 2.10000+ 1 3.00000+ 1 1.66360- 4 1.20738- 2 2.10000+ 1 3.20000+ 1 1.16782- 4 1.21161- 2 2.10000+ 1 3.30000+ 1 7.05125- 5 1.21173- 2 2.20000+ 1 2.20000+ 1 1.69386- 4 1.18594- 2 2.20000+ 1 2.40000+ 1 8.67897- 5 1.20755- 2 2.20000+ 1 2.50000+ 1 3.41167- 5 1.20784- 2 2.20000+ 1 2.70000+ 1 1.07736- 5 1.20436- 2 2.20000+ 1 2.90000+ 1 2.04714- 4 1.20757- 2 2.20000+ 1 3.00000+ 1 2.27448- 5 1.20886- 2 2.20000+ 1 3.20000+ 1 2.33429- 4 1.21309- 2 2.20000+ 1 3.30000+ 1 7.78090- 6 1.21321- 2 2.40000+ 1 2.40000+ 1 3.88455- 6 1.22916- 2 2.40000+ 1 2.50000+ 1 2.91358- 5 1.22945- 2 2.40000+ 1 2.70000+ 1 3.88455- 6 1.22597- 2 2.40000+ 1 2.90000+ 1 9.06445- 6 1.22918- 2 2.40000+ 1 3.00000+ 1 5.82706- 6 1.23046- 2 2.40000+ 1 3.20000+ 1 1.42439- 5 1.23470- 2 2.40000+ 1 3.30000+ 1 1.94228- 6 1.23482- 2 2.50000+ 1 2.50000+ 1 2.00330- 6 1.22975- 2 2.50000+ 1 2.70000+ 1 2.00330- 6 1.22626- 2 2.50000+ 1 2.90000+ 1 6.67800- 6 1.22947- 2 2.50000+ 1 3.00000+ 1 3.33875- 6 1.23076- 2 2.50000+ 1 3.20000+ 1 3.07185- 5 1.23499- 2 2.50000+ 1 3.30000+ 1 6.67800- 7 1.23511- 2 2.70000+ 1 2.70000+ 1 7.04869- 7 1.22278- 2 2.70000+ 1 2.90000+ 1 2.96028- 5 1.22599- 2 2.70000+ 1 3.00000+ 1 2.81942- 6 1.22727- 2 2.70000+ 1 3.20000+ 1 1.40971- 6 1.23151- 2 2.90000+ 1 2.90000+ 1 2.62443- 5 1.22920- 2 2.90000+ 1 3.00000+ 1 6.52379- 5 1.23048- 2 2.90000+ 1 3.20000+ 1 1.42480- 5 1.23472- 2 2.90000+ 1 3.30000+ 1 5.99905- 6 1.23484- 2 3.00000+ 1 3.00000+ 1 1.33047- 6 1.23177- 2 3.00000+ 1 3.20000+ 1 1.46352- 5 1.23601- 2 3.00000+ 1 3.30000+ 1 6.65244- 7 1.23612- 2 3.20000+ 1 3.20000+ 1 4.40720- 6 1.24024- 2 3.20000+ 1 3.30000+ 1 4.95803- 6 1.24036- 2 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.33289- 2 7.84700- 3 1.00000+ 1 1.20159- 4 8.08680- 3 1.10000+ 1 1.08769- 4 8.42530- 3 1.30000+ 1 2.29258- 2 8.83250- 3 1.40000+ 1 2.02138- 1 8.90610- 3 1.60000+ 1 2.61217- 3 1.02290- 2 1.80000+ 1 2.60167- 5 1.03309- 2 1.90000+ 1 2.58597- 5 1.04108- 2 2.10000+ 1 4.07416- 3 1.05799- 2 2.20000+ 1 3.66146- 2 1.05947- 2 2.40000+ 1 2.21258- 5 1.08108- 2 2.50000+ 1 1.24149- 4 1.08137- 2 2.70000+ 1 5.37164- 4 1.07789- 2 2.90000+ 1 5.49644- 6 1.08110- 2 3.00000+ 1 5.30834- 6 1.08238- 2 3.20000+ 1 2.06268- 4 1.08662- 2 3.30000+ 1 1.76708- 3 1.08674- 2 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 8.70396- 4 4.81700- 3 8.00000+ 0 1.00000+ 1 4.76185- 4 5.05680- 3 8.00000+ 0 1.10000+ 1 2.28503- 2 5.39530- 3 8.00000+ 0 1.30000+ 1 2.64298- 3 5.80250- 3 8.00000+ 0 1.40000+ 1 4.01407- 3 5.87610- 3 8.00000+ 0 1.60000+ 1 3.28974- 4 7.19897- 3 8.00000+ 0 1.80000+ 1 8.41948- 5 7.30093- 3 8.00000+ 0 1.90000+ 1 3.46434- 3 7.38077- 3 8.00000+ 0 2.10000+ 1 2.59282- 4 7.54992- 3 8.00000+ 0 2.20000+ 1 3.56304- 4 7.56471- 3 8.00000+ 0 2.40000+ 1 1.78987- 4 7.78079- 3 8.00000+ 0 2.50000+ 1 3.20057- 4 7.78374- 3 8.00000+ 0 2.70000+ 1 5.85471- 5 7.74888- 3 8.00000+ 0 2.90000+ 1 1.28244- 5 7.78099- 3 8.00000+ 0 3.00000+ 1 4.90670- 4 7.79385- 3 8.00000+ 0 3.20000+ 1 1.72855- 5 7.83621- 3 8.00000+ 0 3.30000+ 1 7.24862- 6 7.83740- 3 1.00000+ 1 1.00000+ 1 8.02907- 5 5.29660- 3 1.00000+ 1 1.10000+ 1 3.83540- 2 5.63510- 3 1.00000+ 1 1.30000+ 1 1.96154- 3 6.04230- 3 1.00000+ 1 1.40000+ 1 1.71827- 2 6.11590- 3 1.00000+ 1 1.60000+ 1 9.64663- 5 7.43877- 3 1.00000+ 1 1.80000+ 1 3.34548- 5 7.54073- 3 1.00000+ 1 1.90000+ 1 6.04020- 3 7.62057- 3 1.00000+ 1 2.10000+ 1 3.57406- 4 7.78972- 3 1.00000+ 1 2.20000+ 1 2.59992- 3 7.80451- 3 1.00000+ 1 2.40000+ 1 1.84010- 4 8.02059- 3 1.00000+ 1 2.50000+ 1 4.73396- 4 8.02354- 3 1.00000+ 1 2.70000+ 1 1.72853- 5 7.98868- 3 1.00000+ 1 2.90000+ 1 5.57590- 6 8.02079- 3 1.00000+ 1 3.00000+ 1 8.60877- 4 8.03365- 3 1.00000+ 1 3.20000+ 1 2.56494- 5 8.07601- 3 1.00000+ 1 3.30000+ 1 5.74306- 5 8.07720- 3 1.10000+ 1 1.10000+ 1 4.97023- 2 5.97360- 3 1.10000+ 1 1.30000+ 1 5.19470- 2 6.38080- 3 1.10000+ 1 1.40000+ 1 7.22934- 2 6.45440- 3 1.10000+ 1 1.60000+ 1 5.62493- 3 7.77727- 3 1.10000+ 1 1.80000+ 1 8.44665- 3 7.87923- 3 1.10000+ 1 1.90000+ 1 1.88929- 2 7.95907- 3 1.10000+ 1 2.10000+ 1 1.00220- 2 8.12822- 3 1.10000+ 1 2.20000+ 1 1.37100- 2 8.14301- 3 1.10000+ 1 2.40000+ 1 7.42737- 4 8.35909- 3 1.10000+ 1 2.50000+ 1 9.30660- 4 8.36204- 3 1.10000+ 1 2.70000+ 1 1.04994- 3 8.32718- 3 1.10000+ 1 2.90000+ 1 1.33542- 3 8.35929- 3 1.10000+ 1 3.00000+ 1 2.79849- 3 8.37215- 3 1.10000+ 1 3.20000+ 1 7.27659- 4 8.41451- 3 1.10000+ 1 3.30000+ 1 3.13353- 4 8.41570- 3 1.30000+ 1 1.30000+ 1 7.34159- 3 6.78800- 3 1.30000+ 1 1.40000+ 1 1.38064- 1 6.86160- 3 1.30000+ 1 1.60000+ 1 6.22270- 4 8.18447- 3 1.30000+ 1 1.80000+ 1 4.44952- 4 8.28643- 3 1.30000+ 1 1.90000+ 1 7.49599- 3 8.36627- 3 1.30000+ 1 2.10000+ 1 2.42786- 3 8.53542- 3 1.30000+ 1 2.20000+ 1 1.91038- 2 8.55021- 3 1.30000+ 1 2.40000+ 1 4.15409- 4 8.76629- 3 1.30000+ 1 2.50000+ 1 1.41462- 3 8.76924- 3 1.30000+ 1 2.70000+ 1 1.15427- 4 8.73438- 3 1.30000+ 1 2.90000+ 1 7.02555- 5 8.76649- 3 1.30000+ 1 3.00000+ 1 1.05104- 3 8.77935- 3 1.30000+ 1 3.20000+ 1 1.72854- 4 8.82171- 3 1.30000+ 1 3.30000+ 1 4.17641- 4 8.82290- 3 1.40000+ 1 1.40000+ 1 9.23302- 2 6.93520- 3 1.40000+ 1 1.60000+ 1 9.73553- 4 8.25807- 3 1.40000+ 1 1.80000+ 1 3.45272- 3 8.36003- 3 1.40000+ 1 1.90000+ 1 1.17731- 2 8.43987- 3 1.40000+ 1 2.10000+ 1 2.30818- 2 8.60902- 3 1.40000+ 1 2.20000+ 1 2.91231- 2 8.62381- 3 1.40000+ 1 2.40000+ 1 4.40848- 3 8.83989- 3 1.40000+ 1 2.50000+ 1 4.02519- 3 8.84284- 3 1.40000+ 1 2.70000+ 1 1.82336- 4 8.80798- 3 1.40000+ 1 2.90000+ 1 5.36966- 4 8.84009- 3 1.40000+ 1 3.00000+ 1 1.69841- 3 8.85295- 3 1.40000+ 1 3.20000+ 1 1.64223- 3 8.89531- 3 1.40000+ 1 3.30000+ 1 6.50164- 4 8.89650- 3 1.60000+ 1 1.60000+ 1 3.12261- 5 9.58094- 3 1.60000+ 1 1.80000+ 1 1.78437- 5 9.68290- 3 1.60000+ 1 1.90000+ 1 8.53682- 4 9.76274- 3 1.60000+ 1 2.10000+ 1 6.69123- 5 9.93189- 3 1.60000+ 1 2.20000+ 1 9.42321- 5 9.94668- 3 1.60000+ 1 2.40000+ 1 2.45344- 5 1.01628- 2 1.60000+ 1 2.50000+ 1 5.01844- 5 1.01657- 2 1.60000+ 1 2.70000+ 1 1.11519- 5 1.01308- 2 1.60000+ 1 2.90000+ 1 2.78797- 6 1.01630- 2 1.60000+ 1 3.00000+ 1 1.20998- 4 1.01758- 2 1.60000+ 1 3.20000+ 1 4.46096- 6 1.02182- 2 1.60000+ 1 3.30000+ 1 1.67278- 6 1.02194- 2 1.80000+ 1 1.80000+ 1 2.23024- 6 9.78486- 3 1.80000+ 1 1.90000+ 1 1.32425- 3 9.86470- 3 1.80000+ 1 2.10000+ 1 7.69474- 5 1.00338- 2 1.80000+ 1 2.20000+ 1 5.52028- 4 1.00486- 2 1.80000+ 1 2.40000+ 1 2.67645- 5 1.02647- 2 1.80000+ 1 2.50000+ 1 6.52397- 5 1.02677- 2 1.80000+ 1 2.70000+ 1 3.34552- 6 1.02328- 2 1.80000+ 1 2.90000+ 1 5.57597- 7 1.02649- 2 1.80000+ 1 3.00000+ 1 1.88466- 4 1.02778- 2 1.80000+ 1 3.20000+ 1 5.57597- 6 1.03201- 2 1.80000+ 1 3.30000+ 1 1.22675- 5 1.03213- 2 1.90000+ 1 1.90000+ 1 1.72181- 3 9.94454- 3 1.90000+ 1 2.10000+ 1 1.44860- 3 1.01137- 2 1.90000+ 1 2.20000+ 1 2.19756- 3 1.01285- 2 1.90000+ 1 2.40000+ 1 8.80969- 5 1.03446- 2 1.90000+ 1 2.50000+ 1 1.16543- 4 1.03475- 2 1.90000+ 1 2.70000+ 1 1.59465- 4 1.03126- 2 1.90000+ 1 2.90000+ 1 2.09092- 4 1.03448- 2 1.90000+ 1 3.00000+ 1 5.06290- 4 1.03576- 2 1.90000+ 1 3.20000+ 1 1.05385- 4 1.04000- 2 1.90000+ 1 3.30000+ 1 5.01837- 5 1.04012- 2 2.10000+ 1 2.10000+ 1 1.93479- 4 1.02828- 2 2.10000+ 1 2.20000+ 1 3.32818- 3 1.02976- 2 2.10000+ 1 2.40000+ 1 4.62798- 5 1.05137- 2 2.10000+ 1 2.50000+ 1 1.51100- 4 1.05167- 2 2.10000+ 1 2.70000+ 1 1.22673- 5 1.04818- 2 2.10000+ 1 2.90000+ 1 1.22673- 5 1.05139- 2 2.10000+ 1 3.00000+ 1 2.03520- 4 1.05268- 2 2.10000+ 1 3.20000+ 1 2.73210- 5 1.05691- 2 2.10000+ 1 3.30000+ 1 7.30429- 5 1.05703- 2 2.20000+ 1 2.20000+ 1 2.52008- 3 1.03124- 2 2.20000+ 1 2.40000+ 1 5.24713- 4 1.05285- 2 2.20000+ 1 2.50000+ 1 4.72369- 4 1.05314- 2 2.20000+ 1 2.70000+ 1 1.94793- 5 1.04966- 2 2.20000+ 1 2.90000+ 1 9.43487- 5 1.05287- 2 2.20000+ 1 3.00000+ 1 3.45131- 4 1.05416- 2 2.20000+ 1 3.20000+ 1 2.59920- 4 1.05839- 2 2.20000+ 1 3.30000+ 1 1.12611- 4 1.05851- 2 2.40000+ 1 2.40000+ 1 2.53042- 6 1.07446- 2 2.40000+ 1 2.50000+ 1 7.00096- 5 1.07475- 2 2.40000+ 1 2.70000+ 1 5.90416- 6 1.07127- 2 2.40000+ 1 2.90000+ 1 5.90416- 6 1.07448- 2 2.40000+ 1 3.00000+ 1 1.85573- 5 1.07576- 2 2.40000+ 1 3.20000+ 1 5.06084- 6 1.08000- 2 2.40000+ 1 3.30000+ 1 1.51821- 5 1.08012- 2 2.50000+ 1 2.50000+ 1 1.88721- 5 1.07505- 2 2.50000+ 1 2.70000+ 1 1.04122- 5 1.07156- 2 2.50000+ 1 2.90000+ 1 1.10629- 5 1.07477- 2 2.50000+ 1 3.00000+ 1 1.88721- 5 1.07606- 2 2.50000+ 1 3.20000+ 1 1.17136- 5 1.08029- 2 2.50000+ 1 3.30000+ 1 1.04122- 5 1.08041- 2 2.70000+ 1 2.70000+ 1 1.81307- 6 1.06808- 2 2.70000+ 1 2.90000+ 1 9.06554- 7 1.07129- 2 2.70000+ 1 3.00000+ 1 3.62598- 5 1.07257- 2 2.70000+ 1 3.20000+ 1 9.06554- 7 1.07681- 2 2.70000+ 1 3.30000+ 1 9.06554- 7 1.07693- 2 2.90000+ 1 3.00000+ 1 6.40893- 5 1.07578- 2 2.90000+ 1 3.20000+ 1 2.41839- 6 1.08002- 2 2.90000+ 1 3.30000+ 1 3.62759- 6 1.08014- 2 3.00000+ 1 3.00000+ 1 9.97725- 5 1.07707- 2 3.00000+ 1 3.20000+ 1 3.87170- 5 1.08131- 2 3.00000+ 1 3.30000+ 1 1.93588- 5 1.08142- 2 3.20000+ 1 3.20000+ 1 1.55198- 6 1.08554- 2 3.20000+ 1 3.30000+ 1 6.98403- 6 1.08566- 2 3.30000+ 1 3.30000+ 1 3.34546- 6 1.08578- 2 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 9.86163- 6 2.39800- 4 1.10000+ 1 2.92478- 4 5.78300- 4 1.80000+ 1 1.08018- 3 2.48393- 3 1.90000+ 1 9.75962- 4 2.56377- 3 2.90000+ 1 2.36828- 4 2.96399- 3 3.00000+ 1 2.14563- 4 2.97685- 3 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 3.78321- 2 1.73590- 4 1.00000+ 1 2.50000+ 1 5.07778- 2 1.76540- 4 1.00000+ 1 2.70000+ 1 1.04462- 2 1.41680- 4 1.00000+ 1 2.90000+ 1 9.54484- 3 1.73790- 4 1.00000+ 1 3.00000+ 1 1.31175- 2 1.86650- 4 1.00000+ 1 3.20000+ 1 2.57192- 3 2.29010- 4 1.00000+ 1 3.30000+ 1 3.38283- 3 2.30200- 4 1.00000+ 1 4.10000+ 1 9.16331- 4 2.31410- 4 1.10000+ 1 1.80000+ 1 6.32738- 2 3.22300- 5 1.10000+ 1 1.90000+ 1 7.12582- 2 1.12070- 4 1.10000+ 1 2.10000+ 1 2.56973- 2 2.81220- 4 1.10000+ 1 2.20000+ 1 3.94161- 2 2.96010- 4 1.10000+ 1 2.40000+ 1 1.59776- 1 5.12090- 4 1.10000+ 1 2.50000+ 1 1.99061- 1 5.15040- 4 1.10000+ 1 2.70000+ 1 1.02549- 2 4.80180- 4 1.10000+ 1 2.90000+ 1 9.31654- 3 5.12290- 4 1.10000+ 1 3.00000+ 1 1.05941- 2 5.25150- 4 1.10000+ 1 3.20000+ 1 1.03043- 3 5.67510- 4 1.10000+ 1 3.30000+ 1 1.56925- 3 5.68700- 4 1.10000+ 1 4.10000+ 1 9.19992- 4 5.69910- 4 1.30000+ 1 1.60000+ 1 2.59284- 2 3.37470- 4 1.30000+ 1 1.80000+ 1 5.73363- 3 4.39430- 4 1.30000+ 1 1.90000+ 1 6.22688- 3 5.19270- 4 1.30000+ 1 2.10000+ 1 8.78253- 3 6.88420- 4 1.30000+ 1 2.20000+ 1 1.09265- 2 7.03210- 4 1.30000+ 1 2.40000+ 1 8.21673- 3 9.19290- 4 1.30000+ 1 2.50000+ 1 7.58803- 3 9.22240- 4 1.30000+ 1 2.70000+ 1 3.18000- 3 8.87380- 4 1.30000+ 1 2.90000+ 1 7.14417- 4 9.19490- 4 1.30000+ 1 3.00000+ 1 7.29189- 4 9.32350- 4 1.30000+ 1 3.20000+ 1 3.27527- 4 9.74710- 4 1.30000+ 1 3.30000+ 1 4.13798- 4 9.75900- 4 1.30000+ 1 4.10000+ 1 2.71093- 4 9.77110- 4 1.40000+ 1 1.60000+ 1 3.66720- 2 4.11070- 4 1.40000+ 1 1.80000+ 1 1.04241- 3 5.13030- 4 1.40000+ 1 1.90000+ 1 1.11109- 2 5.92870- 4 1.40000+ 1 2.10000+ 1 1.21158- 2 7.62020- 4 1.40000+ 1 2.20000+ 1 1.75659- 2 7.76810- 4 1.40000+ 1 2.40000+ 1 9.31225- 3 9.92890- 4 1.40000+ 1 2.50000+ 1 1.45737- 2 9.95840- 4 1.40000+ 1 2.70000+ 1 4.43955- 3 9.60980- 4 1.40000+ 1 2.90000+ 1 1.45051- 4 9.93090- 4 1.40000+ 1 3.00000+ 1 1.29360- 3 1.00595- 3 1.40000+ 1 3.20000+ 1 4.86312- 4 1.04831- 3 1.40000+ 1 3.30000+ 1 6.43479- 4 1.04950- 3 1.40000+ 1 4.10000+ 1 3.78710- 4 1.05071- 3 1.60000+ 1 1.60000+ 1 2.93260- 3 1.73394- 3 1.60000+ 1 1.80000+ 1 5.05828- 3 1.83590- 3 1.60000+ 1 1.90000+ 1 8.54777- 3 1.91574- 3 1.60000+ 1 2.10000+ 1 9.66679- 3 2.08489- 3 1.60000+ 1 2.20000+ 1 1.36962- 2 2.09968- 3 1.60000+ 1 2.40000+ 1 6.16419- 3 2.31576- 3 1.60000+ 1 2.50000+ 1 7.76323- 3 2.31871- 3 1.60000+ 1 2.70000+ 1 9.02547- 4 2.28385- 3 1.60000+ 1 2.90000+ 1 8.04691- 4 2.31596- 3 1.60000+ 1 3.00000+ 1 1.30060- 3 2.32882- 3 1.60000+ 1 3.20000+ 1 4.21385- 4 2.37118- 3 1.60000+ 1 3.30000+ 1 5.66442- 4 2.37237- 3 1.60000+ 1 4.10000+ 1 8.01188- 5 2.37358- 3 1.80000+ 1 1.80000+ 1 2.26108- 4 1.93786- 3 1.80000+ 1 1.90000+ 1 6.24077- 4 2.01770- 3 1.80000+ 1 2.10000+ 1 3.37192- 4 2.18685- 3 1.80000+ 1 2.20000+ 1 1.93191- 4 2.20164- 3 1.80000+ 1 2.40000+ 1 5.75146- 5 2.41772- 3 1.80000+ 1 2.50000+ 1 4.53151- 4 2.42067- 3 1.80000+ 1 2.70000+ 1 6.02026- 4 2.38581- 3 1.80000+ 1 2.90000+ 1 5.51931- 5 2.41792- 3 1.80000+ 1 3.00000+ 1 7.18918- 5 2.43078- 3 1.80000+ 1 3.20000+ 1 1.32188- 5 2.47314- 3 1.80000+ 1 3.30000+ 1 9.27617- 6 2.47433- 3 1.80000+ 1 4.10000+ 1 5.12517- 5 2.47554- 3 1.90000+ 1 1.90000+ 1 7.57872- 4 2.09754- 3 1.90000+ 1 2.10000+ 1 6.34944- 4 2.26669- 3 1.90000+ 1 2.20000+ 1 1.48813- 3 2.28148- 3 1.90000+ 1 2.40000+ 1 5.41959- 4 2.49756- 3 1.90000+ 1 2.50000+ 1 9.82825- 4 2.50051- 3 1.90000+ 1 2.70000+ 1 1.02151- 3 2.46565- 3 1.90000+ 1 2.90000+ 1 8.39502- 5 2.49776- 3 1.90000+ 1 3.00000+ 1 1.94568- 4 2.51062- 3 1.90000+ 1 3.20000+ 1 2.82923- 5 2.55298- 3 1.90000+ 1 3.30000+ 1 5.91364- 5 2.55417- 3 1.90000+ 1 4.10000+ 1 8.71941- 5 2.55538- 3 2.10000+ 1 2.10000+ 1 1.12739- 4 2.43584- 3 2.10000+ 1 2.20000+ 1 4.98674- 4 2.45063- 3 2.10000+ 1 2.40000+ 1 4.57614- 4 2.66671- 3 2.10000+ 1 2.50000+ 1 3.24524- 3 2.66966- 3 2.10000+ 1 2.70000+ 1 1.16019- 3 2.63480- 3 2.10000+ 1 2.90000+ 1 3.77377- 5 2.66691- 3 2.10000+ 1 3.00000+ 1 7.83252- 5 2.67977- 3 2.10000+ 1 3.20000+ 1 8.06981- 6 2.72213- 3 2.10000+ 1 3.30000+ 1 1.78007- 5 2.72332- 3 2.10000+ 1 4.10000+ 1 9.84941- 5 2.72453- 3 2.20000+ 1 2.20000+ 1 2.87203- 4 2.46542- 3 2.20000+ 1 2.40000+ 1 3.00084- 3 2.68150- 3 2.20000+ 1 2.50000+ 1 1.76267- 3 2.68445- 3 2.20000+ 1 2.70000+ 1 1.59348- 3 2.64959- 3 2.20000+ 1 2.90000+ 1 2.30668- 5 2.68170- 3 2.20000+ 1 3.00000+ 1 1.76466- 4 2.69456- 3 2.20000+ 1 3.20000+ 1 1.70704- 5 2.73692- 3 2.20000+ 1 3.30000+ 1 2.00685- 5 2.73811- 3 2.20000+ 1 4.10000+ 1 1.35411- 4 2.73932- 3 2.40000+ 1 2.40000+ 1 5.28566- 4 2.89758- 3 2.40000+ 1 2.50000+ 1 3.67313- 3 2.90053- 3 2.40000+ 1 2.70000+ 1 6.53602- 4 2.86567- 3 2.40000+ 1 2.90000+ 1 6.35443- 6 2.89778- 3 2.40000+ 1 3.00000+ 1 4.92471- 5 2.91064- 3 2.40000+ 1 3.20000+ 1 1.74748- 5 2.95300- 3 2.40000+ 1 3.30000+ 1 1.21192- 4 2.95419- 3 2.40000+ 1 4.10000+ 1 5.49201- 5 2.95540- 3 2.50000+ 1 2.50000+ 1 1.24763- 3 2.90348- 3 2.50000+ 1 2.70000+ 1 8.26374- 4 2.86862- 3 2.50000+ 1 2.90000+ 1 6.34087- 5 2.90073- 3 2.50000+ 1 3.00000+ 1 9.42020- 5 2.91359- 3 2.50000+ 1 3.20000+ 1 1.32065- 4 2.95595- 3 2.50000+ 1 3.30000+ 1 6.93395- 5 2.95714- 3 2.50000+ 1 4.10000+ 1 6.95687- 5 2.95835- 3 2.70000+ 1 2.70000+ 1 9.56810- 5 2.83376- 3 2.70000+ 1 2.90000+ 1 1.42827- 4 2.86587- 3 2.70000+ 1 3.00000+ 1 2.30929- 4 2.87873- 3 2.70000+ 1 3.20000+ 1 7.36550- 5 2.92109- 3 2.70000+ 1 3.30000+ 1 9.87810- 5 2.92228- 3 2.70000+ 1 4.10000+ 1 1.68645- 5 2.92349- 3 2.90000+ 1 2.90000+ 1 6.29895- 6 2.89798- 3 2.90000+ 1 3.00000+ 1 1.84465- 5 2.91084- 3 2.90000+ 1 3.20000+ 1 2.69948- 6 2.95320- 3 2.90000+ 1 3.30000+ 1 2.24958- 6 2.95439- 3 2.90000+ 1 4.10000+ 1 1.57473- 5 2.95560- 3 3.00000+ 1 3.00000+ 1 2.74406- 5 2.92370- 3 3.00000+ 1 3.20000+ 1 7.91555- 6 2.96606- 3 3.00000+ 1 3.30000+ 1 1.63584- 5 2.96725- 3 3.00000+ 1 4.10000+ 1 3.00782- 5 2.96846- 3 3.20000+ 1 3.30000+ 1 6.95726- 7 3.00961- 3 3.20000+ 1 4.10000+ 1 4.17426- 6 3.01082- 3 3.30000+ 1 3.30000+ 1 2.31899- 7 3.01080- 3 3.30000+ 1 4.10000+ 1 5.56588- 6 3.01201- 3 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 8.27133- 4 7.45700- 4 1.60000+ 1 6.50222- 4 2.14217- 3 2.10000+ 1 3.45051- 3 2.49312- 3 2.70000+ 1 1.30870- 4 2.69208- 3 3.20000+ 1 2.03151- 4 2.77941- 3 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 6.76417- 3 4.14200- 5 1.10000+ 1 2.20000+ 1 1.66480- 2 5.62100- 5 1.10000+ 1 2.40000+ 1 2.77905- 2 2.72290- 4 1.10000+ 1 2.50000+ 1 2.69075- 2 2.75240- 4 1.10000+ 1 2.70000+ 1 3.17766- 3 2.40380- 4 1.10000+ 1 2.90000+ 1 3.74985- 3 2.72490- 4 1.10000+ 1 3.00000+ 1 2.85089- 3 2.85350- 4 1.10000+ 1 3.20000+ 1 3.21350- 4 3.27710- 4 1.10000+ 1 3.30000+ 1 7.18586- 4 3.28900- 4 1.10000+ 1 4.10000+ 1 2.72877- 4 3.30110- 4 1.30000+ 1 1.60000+ 1 5.21123- 2 9.76700- 5 1.30000+ 1 1.80000+ 1 5.27479- 2 1.99630- 4 1.30000+ 1 1.90000+ 1 5.54110- 2 2.79470- 4 1.30000+ 1 2.10000+ 1 2.06616- 2 4.48620- 4 1.30000+ 1 2.20000+ 1 2.45487- 2 4.63410- 4 1.30000+ 1 2.40000+ 1 1.35439- 1 6.79490- 4 1.30000+ 1 2.50000+ 1 2.07112- 1 6.82440- 4 1.30000+ 1 2.70000+ 1 9.65431- 3 6.47580- 4 1.30000+ 1 2.90000+ 1 7.17618- 3 6.79690- 4 1.30000+ 1 3.00000+ 1 8.10863- 3 6.92550- 4 1.30000+ 1 3.20000+ 1 9.11381- 4 7.34910- 4 1.30000+ 1 3.30000+ 1 1.09277- 3 7.36100- 4 1.30000+ 1 4.10000+ 1 8.66720- 4 7.37310- 4 1.40000+ 1 1.60000+ 1 8.52959- 3 1.71270- 4 1.40000+ 1 1.80000+ 1 5.99346- 2 2.73230- 4 1.40000+ 1 1.90000+ 1 5.31810- 3 3.53070- 4 1.40000+ 1 2.10000+ 1 9.78275- 4 5.22220- 4 1.40000+ 1 2.20000+ 1 2.90789- 3 5.37010- 4 1.40000+ 1 2.40000+ 1 5.00956- 3 7.53090- 4 1.40000+ 1 2.50000+ 1 3.63553- 3 7.56040- 4 1.40000+ 1 2.70000+ 1 1.05223- 3 7.21180- 4 1.40000+ 1 2.90000+ 1 6.47541- 3 7.53290- 4 1.40000+ 1 3.00000+ 1 7.04812- 4 7.66150- 4 1.40000+ 1 3.20000+ 1 2.57532- 5 8.08510- 4 1.40000+ 1 3.30000+ 1 1.12289- 4 8.09700- 4 1.40000+ 1 4.10000+ 1 9.03320- 5 8.10910- 4 1.60000+ 1 1.60000+ 1 8.30591- 4 1.49414- 3 1.60000+ 1 1.80000+ 1 1.18449- 2 1.59610- 3 1.60000+ 1 1.90000+ 1 1.71639- 3 1.67594- 3 1.60000+ 1 2.10000+ 1 3.86224- 4 1.84509- 3 1.60000+ 1 2.20000+ 1 1.37970- 3 1.85988- 3 1.60000+ 1 2.40000+ 1 4.54702- 5 2.07596- 3 1.60000+ 1 2.50000+ 1 9.11187- 4 2.07891- 3 1.60000+ 1 2.70000+ 1 2.40595- 4 2.04405- 3 1.60000+ 1 2.90000+ 1 1.24154- 3 2.07616- 3 1.60000+ 1 3.00000+ 1 2.36576- 4 2.08902- 3 1.60000+ 1 3.20000+ 1 1.26631- 5 2.13138- 3 1.60000+ 1 3.30000+ 1 5.29530- 5 2.13257- 3 1.60000+ 1 4.10000+ 1 2.12969- 5 2.13378- 3 1.80000+ 1 1.80000+ 1 9.00276- 3 1.69806- 3 1.80000+ 1 1.90000+ 1 2.58124- 2 1.77790- 3 1.80000+ 1 2.10000+ 1 2.52126- 2 1.94705- 3 1.80000+ 1 2.20000+ 1 4.05337- 2 1.96184- 3 1.80000+ 1 2.40000+ 1 1.32414- 2 2.17792- 3 1.80000+ 1 2.50000+ 1 2.24666- 2 2.18087- 3 1.80000+ 1 2.70000+ 1 2.18956- 3 2.14601- 3 1.80000+ 1 2.90000+ 1 2.41229- 3 2.17812- 3 1.80000+ 1 3.00000+ 1 3.89952- 3 2.19098- 3 1.80000+ 1 3.20000+ 1 1.10053- 3 2.23334- 3 1.80000+ 1 3.30000+ 1 1.66061- 3 2.23453- 3 1.80000+ 1 4.10000+ 1 1.98578- 4 2.23574- 3 1.90000+ 1 1.90000+ 1 7.08554- 4 1.85774- 3 1.90000+ 1 2.10000+ 1 1.82346- 3 2.02689- 3 1.90000+ 1 2.20000+ 1 1.53509- 3 2.04168- 3 1.90000+ 1 2.40000+ 1 9.32105- 3 2.25776- 3 1.90000+ 1 2.50000+ 1 2.58655- 3 2.26071- 3 1.90000+ 1 2.70000+ 1 2.08362- 4 2.22585- 3 1.90000+ 1 2.90000+ 1 2.77026- 3 2.25796- 3 1.90000+ 1 3.00000+ 1 1.81885- 4 2.27082- 3 1.90000+ 1 3.20000+ 1 6.56177- 5 2.31318- 3 1.90000+ 1 3.30000+ 1 5.64046- 5 2.31437- 3 1.90000+ 1 4.10000+ 1 1.78430- 5 2.31558- 3 2.10000+ 1 2.10000+ 1 8.53026- 4 2.19604- 3 2.10000+ 1 2.20000+ 1 2.28327- 3 2.21083- 3 2.10000+ 1 2.40000+ 1 1.07061- 3 2.42691- 3 2.10000+ 1 2.50000+ 1 1.94668- 3 2.42986- 3 2.10000+ 1 2.70000+ 1 6.67669- 5 2.39500- 3 2.10000+ 1 2.90000+ 1 2.63814- 3 2.42711- 3 2.10000+ 1 3.00000+ 1 2.43476- 4 2.43997- 3 2.10000+ 1 3.20000+ 1 6.33149- 5 2.48233- 3 2.10000+ 1 3.30000+ 1 8.74918- 5 2.48352- 3 2.10000+ 1 4.10000+ 1 5.75588- 6 2.48473- 3 2.20000+ 1 2.20000+ 1 5.54285- 4 2.22562- 3 2.20000+ 1 2.40000+ 1 3.28416- 3 2.44170- 3 2.20000+ 1 2.50000+ 1 7.25254- 4 2.44465- 3 2.20000+ 1 2.70000+ 1 2.04337- 4 2.40979- 3 2.20000+ 1 2.90000+ 1 4.30164- 3 2.44190- 3 2.20000+ 1 3.00000+ 1 1.82464- 4 2.45476- 3 2.20000+ 1 3.20000+ 1 8.63387- 5 2.49712- 3 2.20000+ 1 3.30000+ 1 3.97150- 5 2.49831- 3 2.20000+ 1 4.10000+ 1 1.78433- 5 2.49952- 3 2.40000+ 1 2.40000+ 1 2.95091- 3 2.65778- 3 2.40000+ 1 2.50000+ 1 1.90455- 2 2.66073- 3 2.40000+ 1 2.70000+ 1 3.45328- 6 2.62587- 3 2.40000+ 1 2.90000+ 1 1.28183- 3 2.65798- 3 2.40000+ 1 3.00000+ 1 1.32327- 3 2.67084- 3 2.40000+ 1 3.20000+ 1 5.12290- 5 2.71320- 3 2.40000+ 1 3.30000+ 1 1.47928- 4 2.71439- 3 2.50000+ 1 2.50000+ 1 9.96938- 4 2.66368- 3 2.50000+ 1 2.70000+ 1 1.41594- 4 2.62882- 3 2.50000+ 1 2.90000+ 1 2.15211- 3 2.66093- 3 2.50000+ 1 3.00000+ 1 3.30962- 4 2.67379- 3 2.50000+ 1 3.20000+ 1 8.63375- 5 2.71615- 3 2.50000+ 1 3.30000+ 1 3.05064- 5 2.71734- 3 2.50000+ 1 4.10000+ 1 1.26631- 5 2.71855- 3 2.70000+ 1 2.70000+ 1 2.05066- 5 2.59396- 3 2.70000+ 1 2.90000+ 1 2.74095- 4 2.62607- 3 2.70000+ 1 3.00000+ 1 3.41777- 5 2.63893- 3 2.70000+ 1 3.20000+ 1 2.73416- 6 2.68129- 3 2.70000+ 1 3.30000+ 1 9.57006- 6 2.68248- 3 2.70000+ 1 4.10000+ 1 3.41777- 6 2.68369- 3 2.90000+ 1 2.90000+ 1 2.29831- 4 2.65818- 3 2.90000+ 1 3.00000+ 1 6.31636- 4 2.67104- 3 2.90000+ 1 3.20000+ 1 1.73673- 4 2.71340- 3 2.90000+ 1 3.30000+ 1 2.65259- 4 2.71459- 3 2.90000+ 1 4.10000+ 1 3.11058- 5 2.71580- 3 3.00000+ 1 3.00000+ 1 4.03528- 5 2.68390- 3 3.00000+ 1 3.20000+ 1 3.02646- 5 2.72626- 3 3.00000+ 1 3.30000+ 1 2.42125- 5 2.72745- 3 3.00000+ 1 4.10000+ 1 8.07039- 6 2.72866- 3 3.20000+ 1 3.20000+ 1 1.07029- 6 2.76862- 3 3.20000+ 1 3.30000+ 1 3.21063- 6 2.76981- 3 3.30000+ 1 3.30000+ 1 9.26453- 7 2.77100- 3 3.30000+ 1 4.10000+ 1 9.26453- 7 2.77221- 3 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.62828- 5 4.07200- 4 1.40000+ 1 2.53502- 4 4.80800- 4 1.60000+ 1 1.10834- 3 1.80367- 3 2.10000+ 1 5.39917- 4 2.15462- 3 2.20000+ 1 4.22536- 3 2.16941- 3 2.70000+ 1 2.12359- 4 2.35358- 3 3.20000+ 1 3.00550- 5 2.44091- 3 3.30000+ 1 2.29717- 4 2.44210- 3 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.10000+ 1 1.01659- 2 1.10120- 4 1.30000+ 1 2.20000+ 1 1.00801- 2 1.24910- 4 1.30000+ 1 2.40000+ 1 1.52088- 2 3.40990- 4 1.30000+ 1 2.50000+ 1 2.21522- 2 3.43940- 4 1.30000+ 1 2.70000+ 1 2.21435- 3 3.09080- 4 1.30000+ 1 2.90000+ 1 1.75003- 3 3.41190- 4 1.30000+ 1 3.00000+ 1 6.08365- 3 3.54050- 4 1.30000+ 1 3.20000+ 1 3.75264- 4 3.96410- 4 1.30000+ 1 3.30000+ 1 3.61658- 4 3.97600- 4 1.30000+ 1 4.10000+ 1 1.95137- 4 3.98810- 4 1.40000+ 1 1.90000+ 1 1.19137- 1 1.45700- 5 1.40000+ 1 2.10000+ 1 4.51132- 2 1.83720- 4 1.40000+ 1 2.20000+ 1 6.25047- 2 1.98510- 4 1.40000+ 1 2.40000+ 1 1.56052- 1 4.14590- 4 1.40000+ 1 2.50000+ 1 1.88136- 1 4.17540- 4 1.40000+ 1 2.70000+ 1 1.31269- 2 3.82680- 4 1.40000+ 1 2.90000+ 1 1.19074- 2 4.14790- 4 1.40000+ 1 3.00000+ 1 1.56250- 2 4.27650- 4 1.40000+ 1 3.20000+ 1 1.68058- 3 4.70010- 4 1.40000+ 1 3.30000+ 1 2.32684- 3 4.71200- 4 1.40000+ 1 4.10000+ 1 1.17064- 3 4.72410- 4 1.60000+ 1 1.60000+ 1 4.89930- 4 1.15564- 3 1.60000+ 1 1.80000+ 1 8.50643- 4 1.25760- 3 1.60000+ 1 1.90000+ 1 1.43254- 2 1.33744- 3 1.60000+ 1 2.10000+ 1 8.45143- 4 1.50659- 3 1.60000+ 1 2.20000+ 1 9.70066- 4 1.52138- 3 1.60000+ 1 2.40000+ 1 1.42261- 3 1.73746- 3 1.60000+ 1 2.50000+ 1 2.37060- 3 1.74041- 3 1.60000+ 1 2.70000+ 1 1.40857- 4 1.70555- 3 1.60000+ 1 2.90000+ 1 1.04111- 4 1.73766- 3 1.60000+ 1 3.00000+ 1 1.46981- 3 1.75052- 3 1.60000+ 1 3.20000+ 1 3.30704- 5 1.79288- 3 1.60000+ 1 3.30000+ 1 3.55211- 5 1.79407- 3 1.60000+ 1 4.10000+ 1 1.22481- 5 1.79528- 3 1.80000+ 1 1.80000+ 1 6.36916- 5 1.35956- 3 1.80000+ 1 1.90000+ 1 1.73579- 2 1.43940- 3 1.80000+ 1 2.10000+ 1 3.85226- 4 1.60855- 3 1.80000+ 1 2.20000+ 1 3.46945- 3 1.62334- 3 1.80000+ 1 2.40000+ 1 1.53534- 3 1.83942- 3 1.80000+ 1 2.50000+ 1 8.65375- 3 1.84237- 3 1.80000+ 1 2.70000+ 1 1.10237- 4 1.80751- 3 1.80000+ 1 2.90000+ 1 1.40860- 5 1.83962- 3 1.80000+ 1 3.00000+ 1 1.81279- 3 1.85248- 3 1.80000+ 1 3.20000+ 1 1.53106- 5 1.89484- 3 1.80000+ 1 3.30000+ 1 1.20035- 4 1.89603- 3 1.80000+ 1 4.10000+ 1 9.18636- 6 1.89724- 3 1.90000+ 1 1.90000+ 1 2.34441- 2 1.51924- 3 1.90000+ 1 2.10000+ 1 3.34819- 2 1.68839- 3 1.90000+ 1 2.20000+ 1 4.40540- 2 1.70318- 3 1.90000+ 1 2.40000+ 1 2.54400- 2 1.91926- 3 1.90000+ 1 2.50000+ 1 2.91114- 2 1.92221- 3 1.90000+ 1 2.70000+ 1 2.59779- 3 1.88735- 3 1.90000+ 1 2.90000+ 1 2.70852- 3 1.91946- 3 1.90000+ 1 3.00000+ 1 5.96214- 3 1.93232- 3 1.90000+ 1 3.20000+ 1 1.42383- 3 1.97468- 3 1.90000+ 1 3.30000+ 1 1.79188- 3 1.97587- 3 1.90000+ 1 4.10000+ 1 2.34555- 4 1.97708- 3 2.10000+ 1 2.10000+ 1 2.16799- 4 1.85754- 3 2.10000+ 1 2.20000+ 1 4.94954- 3 1.87233- 3 2.10000+ 1 2.40000+ 1 6.51625- 4 2.08841- 3 2.10000+ 1 2.50000+ 1 7.80027- 3 2.09136- 3 2.10000+ 1 2.70000+ 1 9.49265- 5 2.05650- 3 2.10000+ 1 2.90000+ 1 2.87821- 5 2.08861- 3 2.10000+ 1 3.00000+ 1 3.44652- 3 2.10147- 3 2.10000+ 1 3.20000+ 1 1.53105- 5 2.14383- 3 2.10000+ 1 3.30000+ 1 1.81278- 4 2.14502- 3 2.10000+ 1 4.10000+ 1 7.96164- 6 2.14623- 3 2.20000+ 1 2.20000+ 1 2.24195- 3 1.88712- 3 2.20000+ 1 2.40000+ 1 6.32732- 3 2.10320- 3 2.20000+ 1 2.50000+ 1 5.36440- 3 2.10615- 3 2.20000+ 1 2.70000+ 1 1.10844- 4 2.07129- 3 2.20000+ 1 2.90000+ 1 3.10479- 4 2.10340- 3 2.20000+ 1 3.00000+ 1 4.48448- 3 2.11626- 3 2.20000+ 1 3.20000+ 1 1.89230- 4 2.15862- 3 2.20000+ 1 3.30000+ 1 1.64121- 4 2.15981- 3 2.20000+ 1 4.10000+ 1 9.18582- 6 2.16102- 3 2.40000+ 1 2.40000+ 1 8.83094- 4 2.31928- 3 2.40000+ 1 2.50000+ 1 2.36365- 2 2.32223- 3 2.40000+ 1 2.70000+ 1 1.48818- 4 2.28737- 3 2.40000+ 1 2.90000+ 1 2.01486- 4 2.31948- 3 2.40000+ 1 3.00000+ 1 2.50044- 3 2.33234- 3 2.40000+ 1 3.20000+ 1 3.18476- 5 2.37470- 3 2.40000+ 1 3.30000+ 1 2.44979- 4 2.37589- 3 2.40000+ 1 4.10000+ 1 1.28606- 5 2.37710- 3 2.50000+ 1 2.50000+ 1 9.27255- 3 2.32518- 3 2.50000+ 1 2.70000+ 1 2.07007- 4 2.29032- 3 2.50000+ 1 2.90000+ 1 1.13302- 3 2.32243- 3 2.50000+ 1 3.00000+ 1 2.95623- 3 2.33529- 3 2.50000+ 1 3.20000+ 1 3.30119- 4 2.37765- 3 2.50000+ 1 3.30000+ 1 2.22931- 4 2.37884- 3 2.50000+ 1 4.10000+ 1 1.71484- 5 2.38005- 3 2.70000+ 1 2.70000+ 1 1.56417- 5 2.25546- 3 2.70000+ 1 2.90000+ 1 1.99867- 5 2.28757- 3 2.70000+ 1 3.00000+ 1 3.78858- 4 2.30043- 3 2.70000+ 1 3.20000+ 1 5.21377- 6 2.34279- 3 2.70000+ 1 3.30000+ 1 6.08278- 6 2.34398- 3 2.70000+ 1 4.10000+ 1 2.60696- 6 2.34519- 3 2.90000+ 1 2.90000+ 1 9.21561- 7 2.31968- 3 2.90000+ 1 3.00000+ 1 4.27605- 4 2.33254- 3 2.90000+ 1 3.20000+ 1 1.84301- 6 2.37490- 3 2.90000+ 1 3.30000+ 1 1.65873- 5 2.37609- 3 2.90000+ 1 4.10000+ 1 1.84301- 6 2.37730- 3 3.00000+ 1 3.00000+ 1 9.48377- 4 2.34540- 3 3.00000+ 1 3.20000+ 1 3.81896- 4 2.38776- 3 3.00000+ 1 3.30000+ 1 4.75771- 4 2.38895- 3 3.00000+ 1 4.10000+ 1 6.20567- 5 2.39016- 3 3.20000+ 1 3.30000+ 1 7.65922- 6 2.43131- 3 3.20000+ 1 4.10000+ 1 6.38289- 7 2.43252- 3 3.30000+ 1 3.30000+ 1 1.86640- 6 2.43250- 3 3.30000+ 1 4.10000+ 1 4.66602- 7 2.43371- 3 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.10190- 3 1.49843- 3 1.90000+ 1 2.15420- 4 1.57827- 3 2.40000+ 1 2.05490- 2 1.97829- 3 2.90000+ 1 5.07211- 4 1.97849- 3 3.00000+ 1 5.28991- 5 1.99135- 3 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 7.93696- 2 7.39000- 6 1.40000+ 1 2.50000+ 1 1.17665- 2 1.03400- 5 1.40000+ 1 2.90000+ 1 8.03452- 4 7.59000- 6 1.40000+ 1 3.00000+ 1 2.49300- 3 2.04500- 5 1.40000+ 1 3.20000+ 1 7.34870- 3 6.28100- 5 1.40000+ 1 3.30000+ 1 9.93372- 4 6.40000- 5 1.40000+ 1 4.10000+ 1 2.05605- 4 6.52100- 5 1.60000+ 1 1.60000+ 1 3.49535- 5 7.48440- 4 1.60000+ 1 1.80000+ 1 1.49098- 3 8.50400- 4 1.60000+ 1 1.90000+ 1 1.06877- 3 9.30240- 4 1.60000+ 1 2.10000+ 1 3.92445- 2 1.09939- 3 1.60000+ 1 2.20000+ 1 4.58956- 3 1.11418- 3 1.60000+ 1 2.40000+ 1 1.48114- 2 1.33026- 3 1.60000+ 1 2.50000+ 1 4.38793- 3 1.33321- 3 1.60000+ 1 2.70000+ 1 2.15100- 5 1.29835- 3 1.60000+ 1 2.90000+ 1 1.86864- 4 1.33046- 3 1.60000+ 1 3.00000+ 1 1.10237- 4 1.34332- 3 1.60000+ 1 3.20000+ 1 1.25687- 3 1.38568- 3 1.60000+ 1 3.30000+ 1 1.45198- 4 1.38687- 3 1.60000+ 1 4.10000+ 1 1.34435- 6 1.38808- 3 1.80000+ 1 1.80000+ 1 8.79192- 4 9.52360- 4 1.80000+ 1 1.90000+ 1 5.53478- 3 1.03220- 3 1.80000+ 1 2.10000+ 1 3.46712- 2 1.20135- 3 1.80000+ 1 2.20000+ 1 2.63344- 3 1.21614- 3 1.80000+ 1 2.40000+ 1 9.37939- 3 1.43222- 3 1.80000+ 1 2.50000+ 1 4.68499- 3 1.43517- 3 1.80000+ 1 2.70000+ 1 1.84173- 4 1.40031- 3 1.80000+ 1 2.90000+ 1 2.21821- 4 1.43242- 3 1.80000+ 1 3.00000+ 1 6.31831- 4 1.44528- 3 1.80000+ 1 3.20000+ 1 1.10368- 3 1.48764- 3 1.80000+ 1 3.30000+ 1 9.54488- 5 1.48883- 3 1.80000+ 1 4.10000+ 1 1.61318- 5 1.49004- 3 1.90000+ 1 1.90000+ 1 1.97484- 3 1.11204- 3 1.90000+ 1 2.10000+ 1 7.12071- 2 1.28119- 3 1.90000+ 1 2.20000+ 1 2.68596- 3 1.29598- 3 1.90000+ 1 2.40000+ 1 4.00469- 3 1.51206- 3 1.90000+ 1 2.50000+ 1 2.34587- 3 1.51501- 3 1.90000+ 1 2.70000+ 1 1.50568- 4 1.48015- 3 1.90000+ 1 2.90000+ 1 5.79427- 4 1.51226- 3 1.90000+ 1 3.00000+ 1 4.32879- 4 1.52512- 3 1.90000+ 1 3.20000+ 1 2.28802- 3 1.56748- 3 1.90000+ 1 3.30000+ 1 8.73812- 5 1.56867- 3 1.90000+ 1 4.10000+ 1 1.34435- 5 1.56988- 3 2.10000+ 1 2.10000+ 1 6.23529- 2 1.45034- 3 2.10000+ 1 2.20000+ 1 1.24643- 1 1.46513- 3 2.10000+ 1 2.40000+ 1 5.86321- 2 1.68121- 3 2.10000+ 1 2.50000+ 1 7.20659- 2 1.68416- 3 2.10000+ 1 2.70000+ 1 6.59649- 3 1.64930- 3 2.10000+ 1 2.90000+ 1 5.44583- 3 1.68141- 3 2.10000+ 1 3.00000+ 1 1.04707- 2 1.69427- 3 2.10000+ 1 3.20000+ 1 4.68234- 3 1.73663- 3 2.10000+ 1 3.30000+ 1 5.01009- 3 1.73782- 3 2.10000+ 1 4.10000+ 1 5.91513- 4 1.73903- 3 2.20000+ 1 2.20000+ 1 2.01646- 3 1.47992- 3 2.20000+ 1 2.40000+ 1 6.39494- 2 1.69600- 3 2.20000+ 1 2.50000+ 1 3.35810- 3 1.69895- 3 2.20000+ 1 2.70000+ 1 4.32882- 4 1.66409- 3 2.20000+ 1 2.90000+ 1 2.70210- 4 1.69620- 3 2.20000+ 1 3.00000+ 1 3.23979- 4 1.70906- 3 2.20000+ 1 3.20000+ 1 4.03163- 3 1.75142- 3 2.20000+ 1 3.30000+ 1 1.37126- 4 1.75261- 3 2.20000+ 1 4.10000+ 1 3.62967- 5 1.75382- 3 2.40000+ 1 2.40000+ 1 5.53435- 2 1.91208- 3 2.40000+ 1 2.50000+ 1 1.60727- 1 1.91503- 3 2.40000+ 1 2.70000+ 1 2.59043- 3 1.88017- 3 2.40000+ 1 2.90000+ 1 1.22735- 3 1.91228- 3 2.40000+ 1 3.00000+ 1 5.94200- 4 1.92514- 3 2.40000+ 1 3.20000+ 1 2.00308- 3 1.96750- 3 2.40000+ 1 3.30000+ 1 2.47094- 3 1.96869- 3 2.40000+ 1 4.10000+ 1 2.33914- 4 1.96990- 3 2.50000+ 1 2.50000+ 1 3.51892- 3 1.91798- 3 2.50000+ 1 2.70000+ 1 5.74861- 4 1.88312- 3 2.50000+ 1 2.90000+ 1 3.57196- 4 1.91523- 3 2.50000+ 1 3.00000+ 1 3.26487- 4 1.92809- 3 2.50000+ 1 3.20000+ 1 2.25614- 3 1.97045- 3 2.50000+ 1 3.30000+ 1 1.26968- 4 1.97164- 3 2.50000+ 1 4.10000+ 1 4.88346- 5 1.97285- 3 2.70000+ 1 2.70000+ 1 2.79901- 6 1.84826- 3 2.70000+ 1 2.90000+ 1 5.03800- 5 1.88037- 3 2.70000+ 1 3.00000+ 1 3.35874- 5 1.89323- 3 2.70000+ 1 3.20000+ 1 4.42246- 4 1.93559- 3 2.70000+ 1 3.30000+ 1 3.07886- 5 1.93678- 3 2.90000+ 1 2.90000+ 1 4.42064- 5 1.91248- 3 2.90000+ 1 3.00000+ 1 2.08984- 4 1.92534- 3 2.90000+ 1 3.20000+ 1 5.22433- 4 1.96770- 3 2.90000+ 1 3.30000+ 1 3.21507- 5 1.96889- 3 2.90000+ 1 4.10000+ 1 8.03758- 6 1.97010- 3 3.00000+ 1 3.00000+ 1 8.72882- 5 1.93820- 3 3.00000+ 1 3.20000+ 1 1.22207- 3 1.98056- 3 3.00000+ 1 3.30000+ 1 3.87966- 5 1.98175- 3 3.00000+ 1 4.10000+ 1 4.84955- 6 1.98296- 3 3.20000+ 1 3.20000+ 1 6.97432- 5 2.02292- 3 3.20000+ 1 3.30000+ 1 1.68789- 4 2.02411- 3 3.20000+ 1 4.10000+ 1 1.95283- 5 2.02532- 3 3.30000+ 1 3.30000+ 1 2.52906- 6 2.02530- 3 3.30000+ 1 4.10000+ 1 1.26454- 6 2.02651- 3 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.76721- 3 1.50467- 3 2.40000+ 1 1.08621- 3 1.90469- 3 2.50000+ 1 2.11771- 2 1.90764- 3 3.00000+ 1 4.76642- 4 1.91775- 3 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 2.87513- 6 6.74840- 4 1.60000+ 1 1.80000+ 1 3.32079- 4 7.76800- 4 1.60000+ 1 1.90000+ 1 2.62366- 3 8.56640- 4 1.60000+ 1 2.10000+ 1 4.07552- 3 1.02579- 3 1.60000+ 1 2.20000+ 1 4.51510- 2 1.04058- 3 1.60000+ 1 2.40000+ 1 4.71098- 3 1.25666- 3 1.60000+ 1 2.50000+ 1 1.67474- 2 1.25961- 3 1.60000+ 1 2.70000+ 1 1.29384- 5 1.22475- 3 1.60000+ 1 2.90000+ 1 1.86883- 5 1.25686- 3 1.60000+ 1 3.00000+ 1 2.81764- 4 1.26972- 3 1.60000+ 1 3.20000+ 1 1.29384- 4 1.31208- 3 1.60000+ 1 3.30000+ 1 1.37863- 3 1.31327- 3 1.60000+ 1 4.10000+ 1 1.43762- 6 1.31448- 3 1.80000+ 1 1.80000+ 1 2.87514- 6 8.78760- 4 1.80000+ 1 1.90000+ 1 6.76507- 3 9.58600- 4 1.80000+ 1 2.10000+ 1 3.52207- 4 1.12775- 3 1.80000+ 1 2.20000+ 1 4.61675- 2 1.14254- 3 1.80000+ 1 2.40000+ 1 2.27426- 3 1.35862- 3 1.80000+ 1 2.50000+ 1 8.60940- 3 1.36157- 3 1.80000+ 1 2.70000+ 1 4.02523- 5 1.32671- 3 1.80000+ 1 2.90000+ 1 2.87514- 6 1.35882- 3 1.80000+ 1 3.00000+ 1 7.23106- 4 1.37168- 3 1.80000+ 1 3.20000+ 1 5.75019- 6 1.41404- 3 1.80000+ 1 3.30000+ 1 1.41321- 3 1.41523- 3 1.80000+ 1 4.10000+ 1 2.87514- 6 1.41644- 3 1.90000+ 1 1.90000+ 1 4.84895- 3 1.03844- 3 1.90000+ 1 2.10000+ 1 4.31274- 3 1.20759- 3 1.90000+ 1 2.20000+ 1 7.09837- 2 1.22238- 3 1.90000+ 1 2.40000+ 1 2.74151- 3 1.43846- 3 1.90000+ 1 2.50000+ 1 5.71318- 3 1.44141- 3 1.90000+ 1 2.70000+ 1 3.76644- 4 1.40655- 3 1.90000+ 1 2.90000+ 1 6.90031- 4 1.43866- 3 1.90000+ 1 3.00000+ 1 1.06667- 3 1.45152- 3 1.90000+ 1 3.20000+ 1 1.61007- 4 1.49388- 3 1.90000+ 1 3.30000+ 1 2.16493- 3 1.49507- 3 1.90000+ 1 4.10000+ 1 3.30643- 5 1.49628- 3 2.10000+ 1 2.10000+ 1 9.32962- 4 1.37674- 3 2.10000+ 1 2.20000+ 1 9.59274- 2 1.39153- 3 2.10000+ 1 2.40000+ 1 3.07188- 3 1.60761- 3 2.10000+ 1 2.50000+ 1 4.17896- 2 1.61056- 3 2.10000+ 1 2.70000+ 1 3.69446- 4 1.57570- 3 2.10000+ 1 2.90000+ 1 6.03725- 5 1.60781- 3 2.10000+ 1 3.00000+ 1 4.72941- 4 1.62067- 3 2.10000+ 1 3.20000+ 1 6.46893- 5 1.66303- 3 2.10000+ 1 3.30000+ 1 2.96128- 3 1.66422- 3 2.10000+ 1 4.10000+ 1 3.01877- 5 1.66543- 3 2.20000+ 1 2.20000+ 1 1.07911- 1 1.40632- 3 2.20000+ 1 2.40000+ 1 6.81352- 2 1.62240- 3 2.20000+ 1 2.50000+ 1 1.06666- 1 1.62535- 3 2.20000+ 1 2.70000+ 1 7.31706- 3 1.59049- 3 2.20000+ 1 2.90000+ 1 6.96516- 3 1.62260- 3 2.20000+ 1 3.00000+ 1 1.05321- 2 1.63546- 3 2.20000+ 1 3.20000+ 1 4.03230- 3 1.67782- 3 2.20000+ 1 3.30000+ 1 7.66938- 3 1.67901- 3 2.20000+ 1 4.10000+ 1 6.54093- 4 1.68022- 3 2.40000+ 1 2.40000+ 1 4.70673- 3 1.83848- 3 2.40000+ 1 2.50000+ 1 1.50667- 1 1.84143- 3 2.40000+ 1 2.70000+ 1 6.36833- 4 1.80657- 3 2.40000+ 1 2.90000+ 1 3.19149- 4 1.83868- 3 2.40000+ 1 3.00000+ 1 3.29201- 4 1.85154- 3 2.40000+ 1 3.20000+ 1 1.25071- 4 1.89390- 3 2.40000+ 1 3.30000+ 1 2.00255- 3 1.89509- 3 2.40000+ 1 4.10000+ 1 5.46275- 5 1.89630- 3 2.50000+ 1 2.50000+ 1 1.02924- 1 1.84438- 3 2.50000+ 1 2.70000+ 1 2.84791- 3 1.80952- 3 2.50000+ 1 2.90000+ 1 1.30394- 3 1.84163- 3 2.50000+ 1 3.00000+ 1 7.97879- 4 1.85449- 3 2.50000+ 1 3.20000+ 1 1.66622- 3 1.89685- 3 2.50000+ 1 3.30000+ 1 3.54367- 3 1.89804- 3 2.50000+ 1 4.10000+ 1 2.57341- 4 1.89925- 3 2.70000+ 1 2.70000+ 1 3.62632- 6 1.77466- 3 2.70000+ 1 2.90000+ 1 7.25236- 6 1.80677- 3 2.70000+ 1 3.00000+ 1 1.05160- 4 1.81963- 3 2.70000+ 1 3.20000+ 1 3.26365- 5 1.86199- 3 2.70000+ 1 3.30000+ 1 5.69318- 4 1.86318- 3 2.90000+ 1 3.00000+ 1 1.78119- 4 1.85174- 3 2.90000+ 1 3.20000+ 1 3.29852- 6 1.89410- 3 2.90000+ 1 3.30000+ 1 4.94766- 4 1.89529- 3 3.00000+ 1 3.00000+ 1 1.74592- 4 1.86460- 3 3.00000+ 1 3.20000+ 1 5.40426- 5 1.90696- 3 3.00000+ 1 3.30000+ 1 9.31200- 4 1.90815- 3 3.00000+ 1 4.10000+ 1 1.24716- 5 1.90936- 3 3.20000+ 1 3.20000+ 1 1.43678- 6 1.94932- 3 3.20000+ 1 3.30000+ 1 1.24997- 4 1.95051- 3 3.20000+ 1 4.10000+ 1 1.43678- 6 1.95172- 3 3.30000+ 1 3.30000+ 1 1.16444- 4 1.95170- 3 3.30000+ 1 4.10000+ 1 2.01264- 5 1.95291- 3 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.89475- 5 1.01960- 4 1.90000+ 1 2.24368- 4 1.81800- 4 2.90000+ 1 1.29501- 4 5.82020- 4 3.00000+ 1 6.44815- 5 5.94880- 4 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 1.10176- 2 3.57500- 5 1.80000+ 1 2.50000+ 1 6.69323- 3 3.87000- 5 1.80000+ 1 2.70000+ 1 3.45612- 2 3.84000- 6 1.80000+ 1 2.90000+ 1 3.05086- 2 3.59500- 5 1.80000+ 1 3.00000+ 1 5.42693- 2 4.88100- 5 1.80000+ 1 3.20000+ 1 1.48453- 2 9.11700- 5 1.80000+ 1 3.30000+ 1 2.48463- 2 9.23600- 5 1.80000+ 1 4.10000+ 1 3.00167- 3 9.35700- 5 1.90000+ 1 2.40000+ 1 1.09227- 1 1.15590- 4 1.90000+ 1 2.50000+ 1 1.38858- 1 1.18540- 4 1.90000+ 1 2.70000+ 1 4.13372- 2 8.36800- 5 1.90000+ 1 2.90000+ 1 4.60619- 2 1.15790- 4 1.90000+ 1 3.00000+ 1 5.17882- 2 1.28650- 4 1.90000+ 1 3.20000+ 1 1.92613- 2 1.71010- 4 1.90000+ 1 3.30000+ 1 2.27602- 2 1.72200- 4 1.90000+ 1 4.10000+ 1 3.67449- 3 1.73410- 4 2.10000+ 1 2.10000+ 1 3.92300- 3 5.38700- 5 2.10000+ 1 2.20000+ 1 8.50102- 3 6.86600- 5 2.10000+ 1 2.40000+ 1 4.67720- 3 2.84740- 4 2.10000+ 1 2.50000+ 1 9.74291- 3 2.87690- 4 2.10000+ 1 2.70000+ 1 1.55478- 2 2.52830- 4 2.10000+ 1 2.90000+ 1 4.05067- 3 2.84940- 4 2.10000+ 1 3.00000+ 1 7.85810- 3 2.97800- 4 2.10000+ 1 3.20000+ 1 6.52750- 4 3.40160- 4 2.10000+ 1 3.30000+ 1 5.86104- 4 3.41350- 4 2.10000+ 1 4.10000+ 1 1.10249- 3 3.42560- 4 2.20000+ 1 2.20000+ 1 6.88656- 3 8.34500- 5 2.20000+ 1 2.40000+ 1 1.09979- 2 2.99530- 4 2.20000+ 1 2.50000+ 1 1.02036- 2 3.02480- 4 2.20000+ 1 2.70000+ 1 2.18204- 2 2.67620- 4 2.20000+ 1 2.90000+ 1 8.56493- 3 2.99730- 4 2.20000+ 1 3.00000+ 1 7.76538- 3 3.12590- 4 2.20000+ 1 3.20000+ 1 5.28936- 4 3.54950- 4 2.20000+ 1 3.30000+ 1 9.17590- 4 3.56140- 4 2.20000+ 1 4.10000+ 1 1.53889- 3 3.57350- 4 2.40000+ 1 2.40000+ 1 7.37835- 3 5.15610- 4 2.40000+ 1 2.50000+ 1 1.56755- 2 5.18560- 4 2.40000+ 1 2.70000+ 1 1.68874- 2 4.83700- 4 2.40000+ 1 2.90000+ 1 2.14726- 3 5.15810- 4 2.40000+ 1 3.00000+ 1 6.44125- 3 5.28670- 4 2.40000+ 1 3.20000+ 1 2.64058- 4 5.71030- 4 2.40000+ 1 3.30000+ 1 1.79715- 4 5.72220- 4 2.40000+ 1 4.10000+ 1 1.08039- 3 5.73430- 4 2.50000+ 1 2.50000+ 1 1.22978- 2 5.21510- 4 2.50000+ 1 2.70000+ 1 2.19476- 2 4.86650- 4 2.50000+ 1 2.90000+ 1 1.22282- 3 5.18760- 4 2.50000+ 1 3.00000+ 1 7.71960- 3 5.31620- 4 2.50000+ 1 3.20000+ 1 1.64898- 4 5.73980- 4 2.50000+ 1 3.30000+ 1 3.86103- 4 5.75170- 4 2.50000+ 1 4.10000+ 1 1.40100- 3 5.76380- 4 2.70000+ 1 2.70000+ 1 1.93926- 2 4.51790- 4 2.70000+ 1 2.90000+ 1 2.56770- 2 4.83900- 4 2.70000+ 1 3.00000+ 1 4.18472- 2 4.96760- 4 2.70000+ 1 3.20000+ 1 1.34676- 2 5.39120- 4 2.70000+ 1 3.30000+ 1 1.81721- 2 5.40310- 4 2.70000+ 1 4.10000+ 1 3.04566- 3 5.41520- 4 2.90000+ 1 2.90000+ 1 2.98589- 3 5.16010- 4 2.90000+ 1 3.00000+ 1 1.23329- 2 5.28870- 4 2.90000+ 1 3.20000+ 1 1.81822- 3 5.71230- 4 2.90000+ 1 3.30000+ 1 1.71965- 3 5.72420- 4 2.90000+ 1 4.10000+ 1 2.45871- 3 5.73630- 4 3.00000+ 1 3.00000+ 1 9.01552- 3 5.41730- 4 3.00000+ 1 3.20000+ 1 2.16962- 3 5.84090- 4 3.00000+ 1 3.30000+ 1 3.46424- 3 5.85280- 4 3.00000+ 1 4.10000+ 1 4.04096- 3 5.86490- 4 3.20000+ 1 3.20000+ 1 1.35799- 4 6.26450- 4 3.20000+ 1 3.30000+ 1 5.37969- 4 6.27640- 4 3.20000+ 1 4.10000+ 1 1.37367- 3 6.28850- 4 3.30000+ 1 3.30000+ 1 2.87257- 4 6.28830- 4 3.30000+ 1 4.10000+ 1 1.84888- 3 6.30040- 4 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 7.58924- 4 2.48990- 4 2.70000+ 1 1.64678- 4 4.47950- 4 3.20000+ 1 8.98150- 6 5.35280- 4 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 3.09684- 2 1.36300- 5 1.90000+ 1 2.50000+ 1 2.82294- 2 1.65800- 5 1.90000+ 1 2.90000+ 1 1.17171- 2 1.38300- 5 1.90000+ 1 3.00000+ 1 1.30561- 2 2.66900- 5 1.90000+ 1 3.20000+ 1 2.60186- 3 6.90500- 5 1.90000+ 1 3.30000+ 1 3.93073- 3 7.02400- 5 1.90000+ 1 4.10000+ 1 1.23678- 3 7.14500- 5 2.10000+ 1 2.40000+ 1 1.50785- 1 1.82780- 4 2.10000+ 1 2.50000+ 1 3.25589- 1 1.85730- 4 2.10000+ 1 2.70000+ 1 3.62215- 2 1.50870- 4 2.10000+ 1 2.90000+ 1 2.71799- 2 1.82980- 4 2.10000+ 1 3.00000+ 1 4.20024- 2 1.95840- 4 2.10000+ 1 3.20000+ 1 8.88480- 3 2.38200- 4 2.10000+ 1 3.30000+ 1 1.52978- 2 2.39390- 4 2.10000+ 1 4.10000+ 1 3.22957- 3 2.40600- 4 2.20000+ 1 2.40000+ 1 4.40062- 2 1.97570- 4 2.20000+ 1 2.50000+ 1 1.12920- 2 2.00520- 4 2.20000+ 1 2.70000+ 1 6.00496- 3 1.65660- 4 2.20000+ 1 2.90000+ 1 2.47138- 2 1.97770- 4 2.20000+ 1 3.00000+ 1 5.18213- 3 2.10630- 4 2.20000+ 1 3.20000+ 1 1.31784- 3 2.52990- 4 2.20000+ 1 3.30000+ 1 9.22798- 4 2.54180- 4 2.20000+ 1 4.10000+ 1 4.44696- 4 2.55390- 4 2.40000+ 1 2.40000+ 1 3.01433- 3 4.13650- 4 2.40000+ 1 2.50000+ 1 2.05077- 2 4.16600- 4 2.40000+ 1 2.70000+ 1 4.08772- 3 3.81740- 4 2.40000+ 1 2.90000+ 1 1.74040- 2 4.13850- 4 2.40000+ 1 3.00000+ 1 3.91624- 3 4.26710- 4 2.40000+ 1 3.20000+ 1 1.78063- 3 4.69070- 4 2.40000+ 1 3.30000+ 1 7.28490- 4 4.70260- 4 2.40000+ 1 4.10000+ 1 3.66952- 4 4.71470- 4 2.50000+ 1 2.50000+ 1 1.09941- 3 4.19550- 4 2.50000+ 1 2.70000+ 1 3.06722- 3 3.84690- 4 2.50000+ 1 2.90000+ 1 3.69942- 2 4.16800- 4 2.50000+ 1 3.00000+ 1 2.33361- 3 4.29660- 4 2.50000+ 1 3.20000+ 1 4.66825- 3 4.72020- 4 2.50000+ 1 3.30000+ 1 3.45861- 4 4.73210- 4 2.50000+ 1 4.10000+ 1 2.25571- 4 4.74420- 4 2.70000+ 1 2.70000+ 1 6.69080- 4 3.49830- 4 2.70000+ 1 2.90000+ 1 9.63676- 3 3.81940- 4 2.70000+ 1 3.00000+ 1 1.70331- 3 3.94800- 4 2.70000+ 1 3.20000+ 1 9.37141- 4 4.37160- 4 2.70000+ 1 3.30000+ 1 6.02064- 4 4.38350- 4 2.70000+ 1 4.10000+ 1 9.94148- 5 4.39560- 4 2.90000+ 1 2.90000+ 1 1.46982- 2 4.14050- 4 2.90000+ 1 3.00000+ 1 3.96587- 2 4.26910- 4 2.90000+ 1 3.20000+ 1 1.04632- 2 4.69270- 4 2.90000+ 1 3.30000+ 1 1.71792- 2 4.70460- 4 2.90000+ 1 4.10000+ 1 2.21933- 3 4.71670- 4 3.00000+ 1 3.00000+ 1 1.62438- 3 4.39770- 4 3.00000+ 1 3.20000+ 1 2.86240- 3 4.82130- 4 3.00000+ 1 3.30000+ 1 9.62880- 4 4.83320- 4 3.00000+ 1 4.10000+ 1 3.13138- 4 4.84530- 4 3.20000+ 1 3.20000+ 1 1.61890- 5 5.24490- 4 3.20000+ 1 3.30000+ 1 4.22700- 5 5.25680- 4 3.20000+ 1 4.10000+ 1 1.33108- 5 5.26890- 4 3.30000+ 1 3.30000+ 1 4.74065- 6 5.26870- 4 3.30000+ 1 4.10000+ 1 7.01615- 6 5.28080- 4 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.65692- 5 1.69150- 4 2.20000+ 1 1.92514- 4 1.83940- 4 2.70000+ 1 1.25661- 4 3.68110- 4 3.20000+ 1 2.59860- 6 4.55440- 4 3.30000+ 1 1.45002- 5 4.56630- 4 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.34439- 2 1.02940- 4 2.10000+ 1 2.50000+ 1 3.66675- 2 1.05890- 4 2.10000+ 1 2.70000+ 1 1.39193- 2 7.10300- 5 2.10000+ 1 2.90000+ 1 1.09724- 2 1.03140- 4 2.10000+ 1 3.00000+ 1 3.70869- 2 1.16000- 4 2.10000+ 1 3.20000+ 1 3.76341- 3 1.58360- 4 2.10000+ 1 3.30000+ 1 7.07486- 3 1.59550- 4 2.10000+ 1 4.10000+ 1 1.19066- 3 1.60760- 4 2.20000+ 1 2.40000+ 1 1.83692- 1 1.17730- 4 2.20000+ 1 2.50000+ 1 2.03593- 1 1.20680- 4 2.20000+ 1 2.70000+ 1 6.98549- 2 8.58200- 5 2.20000+ 1 2.90000+ 1 7.30101- 2 1.17930- 4 2.20000+ 1 3.00000+ 1 9.63939- 2 1.30790- 4 2.20000+ 1 3.20000+ 1 3.03141- 2 1.73150- 4 2.20000+ 1 3.30000+ 1 3.39417- 2 1.74340- 4 2.20000+ 1 4.10000+ 1 6.42400- 3 1.75550- 4 2.40000+ 1 2.40000+ 1 7.72136- 4 3.33810- 4 2.40000+ 1 2.50000+ 1 1.95858- 2 3.36760- 4 2.40000+ 1 2.70000+ 1 5.54634- 3 3.01900- 4 2.40000+ 1 2.90000+ 1 2.67003- 3 3.34010- 4 2.40000+ 1 3.00000+ 1 3.65997- 2 3.46870- 4 2.40000+ 1 3.20000+ 1 4.12509- 4 3.89230- 4 2.40000+ 1 3.30000+ 1 2.24713- 3 3.90420- 4 2.40000+ 1 4.10000+ 1 3.64756- 4 3.91630- 4 2.50000+ 1 2.50000+ 1 8.35115- 3 3.39710- 4 2.50000+ 1 2.70000+ 1 1.18604- 2 3.04850- 4 2.50000+ 1 2.90000+ 1 9.94169- 3 3.36960- 4 2.50000+ 1 3.00000+ 1 4.44477- 2 3.49820- 4 2.50000+ 1 3.20000+ 1 4.32408- 4 3.92180- 4 2.50000+ 1 3.30000+ 1 2.78293- 3 3.93370- 4 2.50000+ 1 4.10000+ 1 8.85039- 4 3.94580- 4 2.70000+ 1 2.70000+ 1 4.09909- 6 2.69990- 4 2.70000+ 1 2.90000+ 1 2.83440- 4 3.02100- 4 2.70000+ 1 3.00000+ 1 5.72391- 3 3.14960- 4 2.70000+ 1 3.20000+ 1 2.17245- 4 3.57320- 4 2.70000+ 1 3.30000+ 1 4.10503- 4 3.58510- 4 2.70000+ 1 4.10000+ 1 2.34233- 6 3.59720- 4 2.90000+ 1 2.90000+ 1 1.82874- 5 3.34210- 4 2.90000+ 1 3.00000+ 1 4.79701- 3 3.47070- 4 2.90000+ 1 3.20000+ 1 9.57643- 5 3.89430- 4 2.90000+ 1 3.30000+ 1 3.33502- 4 3.90620- 4 2.90000+ 1 4.10000+ 1 1.82874- 5 3.91830- 4 3.00000+ 1 3.00000+ 1 9.75488- 3 3.59930- 4 3.00000+ 1 3.20000+ 1 3.87469- 3 4.02290- 4 3.00000+ 1 3.30000+ 1 5.02440- 3 4.03480- 4 3.00000+ 1 4.10000+ 1 6.84853- 4 4.04690- 4 3.20000+ 1 3.20000+ 1 8.99820- 6 4.44650- 4 3.20000+ 1 3.30000+ 1 7.47969- 5 4.45840- 4 3.20000+ 1 4.10000+ 1 7.31104- 6 4.47050- 4 3.30000+ 1 3.30000+ 1 5.47844- 5 4.47030- 4 3.30000+ 1 4.10000+ 1 1.68149- 5 4.48240- 4 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.30475- 4 2.30870- 4 2.90000+ 1 3.05840- 5 2.31070- 4 3.00000+ 1 4.33149- 6 2.43930- 4 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.20000+ 1 2.41461- 2 4.00000- 6 2.20000+ 1 3.30000+ 1 3.56238- 3 5.19000- 6 2.20000+ 1 4.10000+ 1 5.89565- 4 6.40000- 6 2.40000+ 1 2.40000+ 1 1.52460- 1 1.64660- 4 2.40000+ 1 2.50000+ 1 4.78766- 1 1.67610- 4 2.40000+ 1 2.70000+ 1 6.25028- 2 1.32750- 4 2.40000+ 1 2.90000+ 1 5.13315- 2 1.64860- 4 2.40000+ 1 3.00000+ 1 7.44510- 2 1.77720- 4 2.40000+ 1 3.20000+ 1 3.02023- 2 2.20080- 4 2.40000+ 1 3.30000+ 1 2.94365- 2 2.21270- 4 2.40000+ 1 4.10000+ 1 5.69096- 3 2.22480- 4 2.50000+ 1 2.50000+ 1 5.88933- 3 1.70560- 4 2.50000+ 1 2.70000+ 1 6.18078- 3 1.35700- 4 2.50000+ 1 2.90000+ 1 1.34767- 2 1.67810- 4 2.50000+ 1 3.00000+ 1 5.17901- 3 1.80670- 4 2.50000+ 1 3.20000+ 1 3.46141- 2 2.23030- 4 2.50000+ 1 3.30000+ 1 1.29263- 3 2.24220- 4 2.50000+ 1 4.10000+ 1 4.54500- 4 2.25430- 4 2.70000+ 1 2.70000+ 1 9.92923- 4 1.00840- 4 2.70000+ 1 2.90000+ 1 1.60510- 3 1.32950- 4 2.70000+ 1 3.00000+ 1 1.65294- 3 1.45810- 4 2.70000+ 1 3.20000+ 1 2.94808- 3 1.88170- 4 2.70000+ 1 3.30000+ 1 9.88897- 4 1.89360- 4 2.70000+ 1 4.10000+ 1 1.02475- 4 1.90570- 4 2.90000+ 1 2.90000+ 1 4.68973- 4 1.65060- 4 2.90000+ 1 3.00000+ 1 1.97216- 3 1.77920- 4 2.90000+ 1 3.20000+ 1 1.93698- 3 2.20280- 4 2.90000+ 1 3.30000+ 1 4.40601- 4 2.21470- 4 2.90000+ 1 4.10000+ 1 8.50868- 5 2.22680- 4 3.00000+ 1 3.00000+ 1 7.03697- 4 1.90780- 4 3.00000+ 1 3.20000+ 1 3.28797- 3 2.33140- 4 3.00000+ 1 3.30000+ 1 2.93443- 4 2.34330- 4 3.00000+ 1 4.10000+ 1 5.30960- 5 2.35540- 4 3.20000+ 1 3.20000+ 1 5.27875- 4 2.75500- 4 3.20000+ 1 3.30000+ 1 1.30253- 3 2.76690- 4 3.20000+ 1 4.10000+ 1 1.98693- 4 2.77900- 4 3.30000+ 1 3.30000+ 1 2.42625- 5 2.77880- 4 3.30000+ 1 4.10000+ 1 2.25046- 5 2.79090- 4 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 5.90060- 6 2.16080- 4 2.50000+ 1 1.24370- 4 2.19030- 4 3.00000+ 1 2.85920- 5 2.29140- 4 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 9.53189- 3 1.49870- 4 2.40000+ 1 2.50000+ 1 3.49124- 1 1.52820- 4 2.40000+ 1 2.70000+ 1 8.44136- 3 1.17960- 4 2.40000+ 1 2.90000+ 1 5.08581- 3 1.50070- 4 2.40000+ 1 3.00000+ 1 1.28619- 2 1.62930- 4 2.40000+ 1 3.20000+ 1 1.67727- 3 2.05290- 4 2.40000+ 1 3.30000+ 1 2.96635- 2 2.06480- 4 2.40000+ 1 4.10000+ 1 6.84598- 4 2.07690- 4 2.50000+ 1 2.50000+ 1 2.62975- 1 1.55770- 4 2.50000+ 1 2.70000+ 1 6.73379- 2 1.20910- 4 2.50000+ 1 2.90000+ 1 6.89398- 2 1.53020- 4 2.50000+ 1 3.00000+ 1 7.51837- 2 1.65880- 4 2.50000+ 1 3.20000+ 1 2.69285- 2 2.08240- 4 2.50000+ 1 3.30000+ 1 5.13131- 2 2.09430- 4 2.50000+ 1 4.10000+ 1 6.19230- 3 2.10640- 4 2.70000+ 1 2.70000+ 1 1.65142- 3 8.60500- 5 2.70000+ 1 2.90000+ 1 1.47112- 3 1.18160- 4 2.70000+ 1 3.00000+ 1 3.32774- 3 1.31020- 4 2.70000+ 1 3.20000+ 1 1.16252- 3 1.73380- 4 2.70000+ 1 3.30000+ 1 4.02806- 3 1.74570- 4 2.70000+ 1 4.10000+ 1 1.65142- 4 1.75780- 4 2.90000+ 1 2.90000+ 1 1.97567- 4 1.50270- 4 2.90000+ 1 3.00000+ 1 2.32946- 3 1.63130- 4 2.90000+ 1 3.20000+ 1 1.33868- 4 2.05490- 4 2.90000+ 1 3.30000+ 1 2.31966- 3 2.06680- 4 2.90000+ 1 4.10000+ 1 5.45401- 5 2.07890- 4 3.00000+ 1 3.00000+ 1 9.13059- 4 1.75990- 4 3.00000+ 1 3.20000+ 1 4.25632- 4 2.18350- 4 3.00000+ 1 3.30000+ 1 3.25184- 3 2.19540- 4 3.00000+ 1 4.10000+ 1 1.01069- 4 2.20750- 4 3.20000+ 1 3.20000+ 1 1.27555- 5 2.60710- 4 3.20000+ 1 3.30000+ 1 1.09809- 3 2.61900- 4 3.20000+ 1 4.10000+ 1 2.70573- 5 2.63110- 4 3.30000+ 1 3.30000+ 1 1.00040- 3 2.63090- 4 3.30000+ 1 4.10000+ 1 2.29599- 4 2.64300- 4 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 6.00987- 7 3.21100- 5 3.00000+ 1 3.37351- 6 4.49700- 5 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 1.16986- 1 2.13200- 5 2.90000+ 1 3.30000+ 1 1.78203- 1 2.25100- 5 2.90000+ 1 4.10000+ 1 4.09213- 2 2.37200- 5 3.00000+ 1 3.20000+ 1 3.38712- 1 3.41800- 5 3.00000+ 1 3.30000+ 1 2.21872- 1 3.53700- 5 3.00000+ 1 4.10000+ 1 4.94160- 2 3.65800- 5 3.20000+ 1 3.20000+ 1 9.13143- 4 7.65400- 5 3.20000+ 1 3.30000+ 1 3.22158- 2 7.77300- 5 3.20000+ 1 4.10000+ 1 9.81509- 3 7.89400- 5 3.30000+ 1 3.30000+ 1 4.38880- 3 7.89200- 5 4.10000+ 1 4.10000+ 1 6.55350- 3 8.13400- 5 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 4.53166- 7 5.52200- 5 4.10000+ 1 4.26301- 8 5.76200- 5 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.20000+ 1 5.08834- 1 2.07000- 6 3.00000+ 1 3.30000+ 1 7.51354- 2 3.26000- 6 3.00000+ 1 4.10000+ 1 8.98433- 3 4.47000- 6 3.20000+ 1 3.20000+ 1 6.64948- 2 4.44300- 5 3.20000+ 1 3.30000+ 1 2.89112- 1 4.56200- 5 3.20000+ 1 4.10000+ 1 4.23463- 2 4.68300- 5 3.30000+ 1 3.30000+ 1 4.32883- 3 4.68100- 5 3.30000+ 1 4.10000+ 1 4.76144- 3 4.80200- 5 4.10000+ 1 4.10000+ 1 2.61882- 6 4.92300- 5 1 76000 0 7 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 9.72894- 9 4.23600- 5 3.30000+ 1 9.39754- 8 4.35500- 5 4.10000+ 1 1.63361- 8 4.47600- 5 1 76000 0 9 1.90200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 3.14072- 2 3.15700- 5 3.20000+ 1 3.30000+ 1 6.45804- 1 3.27600- 5 3.20000+ 1 4.10000+ 1 5.70724- 2 3.39700- 5 3.30000+ 1 3.30000+ 1 1.53331- 1 3.39500- 5 3.30000+ 1 4.10000+ 1 1.09530- 1 3.51600- 5 4.10000+ 1 4.10000+ 1 2.85571- 3 3.63700- 5 1 77000 0 0 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 3.60000+ 0 3.30000+ 1 5.40000+ 0 1 77000 0 0 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.63140- 2 3.00000+ 0 1.33960- 2 5.00000+ 0 1.28590- 2 6.00000+ 0 1.12140- 2 8.00000+ 0 3.14570- 3 1.00000+ 1 2.90020- 3 1.10000+ 1 2.53900- 3 1.30000+ 1 2.12320- 3 1.40000+ 1 2.04480- 3 1.60000+ 1 6.75320- 4 1.80000+ 1 5.70350- 4 1.90000+ 1 4.84550- 4 2.10000+ 1 3.10520- 4 2.20000+ 1 2.94580- 4 2.40000+ 1 7.13300- 5 2.50000+ 1 6.80600- 5 2.70000+ 1 9.91400- 5 2.90000+ 1 6.56800- 5 3.00000+ 1 5.16600- 5 3.20000+ 1 7.99000- 6 3.30000+ 1 6.79000- 6 1 77000 0 0 1.92220+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.05000- 1 3.00000+ 0 2.49230- 2 5.00000+ 0 2.49120- 2 6.00000+ 0 1.86010- 2 8.00000+ 0 7.91870- 3 1.00000+ 1 7.81050- 3 1.10000+ 1 6.25890- 3 1.30000+ 1 6.11640- 3 1.40000+ 1 5.78020- 3 1.60000+ 1 2.56950- 3 1.80000+ 1 2.44750- 3 1.90000+ 1 1.98340- 3 2.10000+ 1 1.76820- 3 2.20000+ 1 1.67130- 3 2.40000+ 1 1.28150- 3 2.50000+ 1 1.24910- 3 2.70000+ 1 6.11610- 4 2.90000+ 1 5.13720- 4 3.00000+ 1 4.02920- 4 3.20000+ 1 1.97000- 4 3.30000+ 1 1.76510- 4 1 77000 0 0 1.92220+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.21760-11 3.00000+ 0 3.85080-10 5.00000+ 0 3.17190-10 6.00000+ 0 3.61100-10 8.00000+ 0 1.00090- 9 1.00000+ 1 9.47630-10 1.10000+ 1 1.02830- 9 1.30000+ 1 8.95890-10 1.40000+ 1 9.20600-10 1.60000+ 1 2.22620- 9 1.80000+ 1 2.24090- 9 1.90000+ 1 2.41660- 9 2.10000+ 1 2.46870- 9 2.20000+ 1 2.52660- 9 2.40000+ 1 2.73860- 9 2.50000+ 1 2.77610- 9 2.70000+ 1 5.12820- 9 2.90000+ 1 5.56840- 9 3.00000+ 1 6.09750- 9 3.20000+ 1 8.98210- 9 3.30000+ 1 9.51880- 9 1 77000 0 0 1.92220+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.40960- 5 3.00000+ 0 9.81870- 7 5.00000+ 0 1.71780- 6 6.00000+ 0 1.51300- 6 8.00000+ 0 3.53400- 8 1.00000+ 1 3.85490- 8 1.10000+ 1 4.08640- 8 1.30000+ 1 5.00620- 8 1.40000+ 1 4.69720- 8 1.60000+ 1 1.14680- 9 1.80000+ 1 1.88660- 9 1.90000+ 1 1.14320- 9 2.10000+ 1 1.37230- 9 2.20000+ 1 1.18440- 9 2.70000+ 1 5.94430-11 2.90000+ 1 8.62920-11 3.00000+ 1 5.05370-11 1 77000 0 0 1.92220+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.88530- 6 3.00000+ 0 1.21610- 5 5.00000+ 0 3.37940- 6 6.00000+ 0 3.54570- 6 8.00000+ 0 1.81720- 5 1.00000+ 1 1.22230- 5 1.10000+ 1 1.09390- 5 1.30000+ 1 2.22870- 6 1.40000+ 1 1.93990- 6 1.60000+ 1 1.50350- 5 1.80000+ 1 1.37060- 5 1.90000+ 1 9.74500- 6 2.10000+ 1 7.94070- 6 2.20000+ 1 7.21750- 6 2.70000+ 1 1.32790- 5 2.90000+ 1 6.14180- 6 3.00000+ 1 4.80130- 6 1 77000 0 0 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.35569- 4 3.00000+ 0 4.75091- 4 5.00000+ 0 3.47521- 4 6.00000+ 0 3.37763- 4 8.00000+ 0 3.24318- 4 1.00000+ 1 2.79800- 4 1.10000+ 1 2.55882- 4 1.30000+ 1 1.96547- 4 1.40000+ 1 1.87957- 4 1.60000+ 1 1.46990- 4 1.80000+ 1 1.51421- 4 1.90000+ 1 1.42249- 4 2.10000+ 1 1.18344- 4 2.20000+ 1 1.13296- 4 2.40000+ 1 7.13300- 5 2.50000+ 1 6.80600- 5 2.70000+ 1 2.26889- 5 2.90000+ 1 1.84698- 5 3.00000+ 1 1.44666- 5 3.20000+ 1 7.99000- 6 3.30000+ 1 6.79000- 6 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.26075+ 0 3.00000+ 0 3.63907- 1 5.00000+ 0 4.11581- 1 6.00000+ 0 3.33736- 1 8.00000+ 0 2.70688- 2 1.00000+ 1 2.69815- 2 1.10000+ 1 2.54926- 2 1.30000+ 1 2.81026- 2 1.40000+ 1 2.65831- 2 1.60000+ 1 9.23973- 4 1.80000+ 1 1.15716- 3 1.90000+ 1 5.23362- 4 2.10000+ 1 1.92368- 4 2.20000+ 1 1.79243- 4 2.70000+ 1 5.05971- 6 2.90000+ 1 9.07349- 7 3.00000+ 1 1.92269- 7 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.64227- 2 3.00000+ 0 3.19000- 3 5.00000+ 0 4.14058- 3 6.00000+ 0 2.85415- 3 8.00000+ 0 5.43561- 5 1.00000+ 1 5.41062- 5 1.10000+ 1 5.01811- 5 1.30000+ 1 5.56607- 5 1.40000+ 1 5.12410- 5 1.60000+ 1 3.00520- 7 1.80000+ 1 3.37578- 7 1.90000+ 1 1.38717- 7 2.10000+ 1 4.61419- 8 2.20000+ 1 4.10026- 8 2.70000+ 1 2.32921-10 2.90000+ 1 5.11591-11 3.00000+ 1 8.60562-12 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.36369+ 0 3.00000+ 0 9.35918+ 0 5.00000+ 0 6.59111+ 0 6.00000+ 0 6.33915+ 0 8.00000+ 0 6.32798+ 0 1.00000+ 1 5.20364+ 0 1.10000+ 1 4.65084+ 0 1.30000+ 1 3.07994+ 0 1.40000+ 1 2.96247+ 0 1.60000+ 1 3.93639+ 0 1.80000+ 1 2.80871+ 0 1.90000+ 1 2.80027+ 0 2.10000+ 1 1.40310+ 0 2.20000+ 1 1.41140+ 0 2.70000+ 1 2.08510+ 0 2.90000+ 1 1.47695+ 0 3.00000+ 1 1.00000+ 0 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.55574- 3 3.00000+ 0 9.73091- 3 5.00000+ 0 8.37090- 3 6.00000+ 0 8.02208- 3 8.00000+ 0 2.76703- 3 1.00000+ 1 2.56629- 3 1.10000+ 1 2.23294- 3 1.30000+ 1 1.87099- 3 1.40000+ 1 1.80560- 3 1.60000+ 1 5.28030- 4 1.80000+ 1 4.18591- 4 1.90000+ 1 3.42162- 4 2.10000+ 1 1.92129- 4 2.20000+ 1 1.81243- 4 2.70000+ 1 7.64508- 5 2.90000+ 1 4.72101- 5 3.00000+ 1 3.71934- 5 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.78730- 1 6.34550- 2 6.00000+ 0 4.78070- 1 6.51000- 2 1.00000+ 1 5.21380- 2 7.34138- 2 1.10000+ 1 1.00820- 1 7.37750- 2 1.30000+ 1 1.23440- 3 7.41908- 2 1.40000+ 1 1.53320- 3 7.42692- 2 1.80000+ 1 1.20800- 2 7.57436- 2 1.90000+ 1 2.35250- 2 7.58294- 2 2.10000+ 1 3.09490- 4 7.60035- 2 2.20000+ 1 3.83160- 4 7.60194- 2 2.90000+ 1 2.76620- 3 7.62483- 2 3.00000+ 1 5.54620- 3 7.62623- 2 3.20000+ 1 2.05020- 5 7.63060- 2 3.30000+ 1 2.44360- 5 7.63072- 2 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.40800- 3 4.95220- 2 3.00000+ 0 5.00000+ 0 6.61414- 3 5.00590- 2 3.00000+ 0 6.00000+ 0 4.21206- 3 5.17040- 2 3.00000+ 0 8.00000+ 0 1.75589- 3 5.97723- 2 3.00000+ 0 1.00000+ 1 1.41635- 3 6.00178- 2 3.00000+ 0 1.10000+ 1 9.64465- 4 6.03790- 2 3.00000+ 0 1.30000+ 1 7.92971- 5 6.07948- 2 3.00000+ 0 1.40000+ 1 6.32902- 5 6.08732- 2 3.00000+ 0 1.60000+ 1 4.30868- 4 6.22427- 2 3.00000+ 0 1.80000+ 1 3.38070- 4 6.23476- 2 3.00000+ 0 1.90000+ 1 2.28615- 4 6.24334- 2 3.00000+ 0 2.10000+ 1 1.97157- 5 6.26075- 2 3.00000+ 0 2.20000+ 1 1.54512- 5 6.26234- 2 3.00000+ 0 2.40000+ 1 6.18040- 8 6.28467- 2 3.00000+ 0 2.50000+ 1 6.18040- 8 6.28499- 2 3.00000+ 0 2.70000+ 1 8.20157- 5 6.28189- 2 3.00000+ 0 2.90000+ 1 5.55603- 5 6.28523- 2 3.00000+ 0 3.00000+ 1 3.57851- 5 6.28663- 2 3.00000+ 0 3.20000+ 1 1.42157- 6 6.29100- 2 3.00000+ 0 3.30000+ 1 8.65297- 7 6.29112- 2 5.00000+ 0 5.00000+ 0 4.17156- 4 5.05960- 2 5.00000+ 0 6.00000+ 0 7.69614- 3 5.22410- 2 5.00000+ 0 8.00000+ 0 1.13375- 3 6.03093- 2 5.00000+ 0 1.00000+ 1 1.56851- 4 6.05548- 2 5.00000+ 0 1.10000+ 1 1.46930- 3 6.09160- 2 5.00000+ 0 1.30000+ 1 8.29989- 5 6.13318- 2 5.00000+ 0 1.40000+ 1 2.28985- 4 6.14102- 2 5.00000+ 0 1.60000+ 1 2.68889- 4 6.27797- 2 5.00000+ 0 1.80000+ 1 3.64008- 5 6.28846- 2 5.00000+ 0 1.90000+ 1 3.34412- 4 6.29704- 2 5.00000+ 0 2.10000+ 1 1.99002- 5 6.31445- 2 5.00000+ 0 2.20000+ 1 5.48807- 5 6.31604- 2 5.00000+ 0 2.40000+ 1 4.94428- 7 6.33837- 2 5.00000+ 0 2.50000+ 1 7.41615- 7 6.33869- 2 5.00000+ 0 2.70000+ 1 5.07993- 5 6.33559- 2 5.00000+ 0 2.90000+ 1 5.93287- 6 6.33893- 2 5.00000+ 0 3.00000+ 1 5.19126- 5 6.34033- 2 5.00000+ 0 3.20000+ 1 1.42147- 6 6.34470- 2 5.00000+ 0 3.30000+ 1 3.02820- 6 6.34482- 2 6.00000+ 0 6.00000+ 0 3.39749- 3 5.38860- 2 6.00000+ 0 8.00000+ 0 6.62831- 4 6.19543- 2 6.00000+ 0 1.00000+ 1 1.35702- 3 6.21998- 2 6.00000+ 0 1.10000+ 1 1.34020- 3 6.25610- 2 6.00000+ 0 1.30000+ 1 2.57658- 4 6.29768- 2 6.00000+ 0 1.40000+ 1 2.18545- 4 6.30552- 2 6.00000+ 0 1.60000+ 1 1.54083- 4 6.44247- 2 6.00000+ 0 1.80000+ 1 3.10767- 4 6.45296- 2 6.00000+ 0 1.90000+ 1 3.07654- 4 6.46154- 2 6.00000+ 0 2.10000+ 1 6.23007- 5 6.47895- 2 6.00000+ 0 2.20000+ 1 5.25969- 5 6.48054- 2 6.00000+ 0 2.40000+ 1 8.65292- 7 6.50287- 2 6.00000+ 0 2.50000+ 1 9.27079- 7 6.50319- 2 6.00000+ 0 2.70000+ 1 2.89868- 5 6.50009- 2 6.00000+ 0 2.90000+ 1 5.06188- 5 6.50343- 2 6.00000+ 0 3.00000+ 1 4.78354- 5 6.50483- 2 6.00000+ 0 3.20000+ 1 4.51168- 6 6.50920- 2 6.00000+ 0 3.30000+ 1 2.90484- 6 6.50932- 2 8.00000+ 0 8.00000+ 0 1.72066- 4 7.00226- 2 8.00000+ 0 1.00000+ 1 2.43693- 4 7.02681- 2 8.00000+ 0 1.10000+ 1 1.53278- 4 7.06293- 2 8.00000+ 0 1.30000+ 1 1.22373- 5 7.10451- 2 8.00000+ 0 1.40000+ 1 9.20899- 6 7.11235- 2 8.00000+ 0 1.60000+ 1 8.41169- 5 7.24930- 2 8.00000+ 0 1.80000+ 1 5.82185- 5 7.25979- 2 8.00000+ 0 1.90000+ 1 3.64029- 5 7.26837- 2 8.00000+ 0 2.10000+ 1 3.02837- 6 7.28578- 2 8.00000+ 0 2.20000+ 1 2.22501- 6 7.28737- 2 8.00000+ 0 2.70000+ 1 1.60077- 5 7.30692- 2 8.00000+ 0 2.90000+ 1 9.57986- 6 7.31026- 2 8.00000+ 0 3.00000+ 1 5.68619- 6 7.31166- 2 8.00000+ 0 3.20000+ 1 2.47212- 7 7.31603- 2 8.00000+ 0 3.30000+ 1 1.23606- 7 7.31615- 2 1.00000+ 1 1.00000+ 1 1.43388- 5 7.05136- 2 1.00000+ 1 1.10000+ 1 2.65992- 4 7.08748- 2 1.00000+ 1 1.30000+ 1 1.24223- 5 7.12906- 2 1.00000+ 1 1.40000+ 1 3.05931- 5 7.13690- 2 1.00000+ 1 1.60000+ 1 5.78471- 5 7.27385- 2 1.00000+ 1 1.80000+ 1 6.61284- 6 7.28434- 2 1.00000+ 1 1.90000+ 1 6.08792- 5 7.29292- 2 1.00000+ 1 2.10000+ 1 3.02839- 6 7.31033- 2 1.00000+ 1 2.20000+ 1 7.41662- 6 7.31192- 2 1.00000+ 1 2.40000+ 1 6.18035- 8 7.33425- 2 1.00000+ 1 2.50000+ 1 6.18035- 8 7.33457- 2 1.00000+ 1 2.70000+ 1 1.09392- 5 7.33147- 2 1.00000+ 1 2.90000+ 1 1.05069- 6 7.33481- 2 1.00000+ 1 3.00000+ 1 9.45616- 6 7.33621- 2 1.00000+ 1 3.20000+ 1 2.47213- 7 7.34058- 2 1.00000+ 1 3.30000+ 1 4.32618- 7 7.34070- 2 1.10000+ 1 1.10000+ 1 1.33371- 4 7.12360- 2 1.10000+ 1 1.30000+ 1 4.05428- 5 7.16518- 2 1.10000+ 1 1.40000+ 1 3.33134- 5 7.17302- 2 1.10000+ 1 1.60000+ 1 3.57239- 5 7.30997- 2 1.10000+ 1 1.80000+ 1 6.11865- 5 7.32046- 2 1.10000+ 1 1.90000+ 1 6.13108- 5 7.32904- 2 1.10000+ 1 2.10000+ 1 9.88854- 6 7.34645- 2 1.10000+ 1 2.20000+ 1 8.09655- 6 7.34804- 2 1.10000+ 1 2.40000+ 1 1.23606- 7 7.37037- 2 1.10000+ 1 2.50000+ 1 1.23606- 7 7.37069- 2 1.10000+ 1 2.70000+ 1 6.73652- 6 7.36759- 2 1.10000+ 1 2.90000+ 1 9.95068- 6 7.37093- 2 1.10000+ 1 3.00000+ 1 9.51767- 6 7.37233- 2 1.10000+ 1 3.20000+ 1 7.41653- 7 7.37670- 2 1.10000+ 1 3.30000+ 1 4.32613- 7 7.37682- 2 1.30000+ 1 1.30000+ 1 6.18048- 8 7.20676- 2 1.30000+ 1 1.40000+ 1 4.82093- 6 7.21460- 2 1.30000+ 1 1.60000+ 1 2.84306- 6 7.35155- 2 1.30000+ 1 1.80000+ 1 2.78134- 6 7.36204- 2 1.30000+ 1 1.90000+ 1 8.83806- 6 7.37062- 2 1.30000+ 1 2.10000+ 1 6.18048- 8 7.38803- 2 1.30000+ 1 2.20000+ 1 1.11253- 6 7.38962- 2 1.30000+ 1 2.70000+ 1 5.56258- 7 7.40917- 2 1.30000+ 1 2.90000+ 1 4.32628- 7 7.41251- 2 1.30000+ 1 3.00000+ 1 1.35975- 6 7.41391- 2 1.30000+ 1 3.30000+ 1 6.18048- 8 7.41840- 2 1.40000+ 1 1.40000+ 1 1.11251- 6 7.22244- 2 1.40000+ 1 1.60000+ 1 2.10137- 6 7.35939- 2 1.40000+ 1 1.80000+ 1 6.55124- 6 7.36989- 2 1.40000+ 1 1.90000+ 1 7.23126- 6 7.37846- 2 1.40000+ 1 2.10000+ 1 1.11251- 6 7.39587- 2 1.40000+ 1 2.20000+ 1 5.56248- 7 7.39746- 2 1.40000+ 1 2.70000+ 1 3.70822- 7 7.41701- 2 1.40000+ 1 2.90000+ 1 1.05069- 6 7.42035- 2 1.40000+ 1 3.00000+ 1 1.11251- 6 7.42175- 2 1.40000+ 1 3.20000+ 1 6.18037- 8 7.42612- 2 1.60000+ 1 1.60000+ 1 1.02588- 5 7.49634- 2 1.60000+ 1 1.80000+ 1 1.38437- 5 7.50683- 2 1.60000+ 1 1.90000+ 1 8.46676- 6 7.51541- 2 1.60000+ 1 2.10000+ 1 6.79822- 7 7.53282- 2 1.60000+ 1 2.20000+ 1 4.94421- 7 7.53441- 2 1.60000+ 1 2.70000+ 1 3.89350- 6 7.55395- 2 1.60000+ 1 2.90000+ 1 2.28657- 6 7.55730- 2 1.60000+ 1 3.00000+ 1 1.35962- 6 7.55870- 2 1.60000+ 1 3.20000+ 1 6.17988- 8 7.56307- 2 1.80000+ 1 1.80000+ 1 7.41667- 7 7.51733- 2 1.80000+ 1 1.90000+ 1 1.40298- 5 7.52591- 2 1.80000+ 1 2.10000+ 1 6.79879- 7 7.54331- 2 1.80000+ 1 2.20000+ 1 1.60695- 6 7.54491- 2 1.80000+ 1 2.70000+ 1 2.59570- 6 7.56445- 2 1.80000+ 1 2.90000+ 1 2.47215- 7 7.56780- 2 1.80000+ 1 3.00000+ 1 2.16321- 6 7.56920- 2 1.80000+ 1 3.20000+ 1 6.18039- 8 7.57357- 2 1.80000+ 1 3.30000+ 1 6.18039- 8 7.57369- 2 1.90000+ 1 1.90000+ 1 6.84810- 6 7.53449- 2 1.90000+ 1 2.10000+ 1 2.10251- 6 7.55189- 2 1.90000+ 1 2.20000+ 1 1.68195- 6 7.55349- 2 1.90000+ 1 2.70000+ 1 1.56186- 6 7.57303- 2 1.90000+ 1 2.90000+ 1 2.22260- 6 7.57638- 2 1.90000+ 1 3.00000+ 1 2.16261- 6 7.57778- 2 1.90000+ 1 3.20000+ 1 1.80214- 7 7.58215- 2 1.90000+ 1 3.30000+ 1 1.20140- 7 7.58227- 2 2.10000+ 1 2.20000+ 1 2.78948- 7 7.57089- 2 2.10000+ 1 2.70000+ 1 1.39475- 7 7.59043- 2 2.10000+ 1 2.90000+ 1 1.39475- 7 7.59378- 2 2.10000+ 1 3.00000+ 1 3.48691- 7 7.59518- 2 2.20000+ 1 2.20000+ 1 6.38737- 8 7.57248- 2 2.20000+ 1 2.70000+ 1 1.27748- 7 7.59203- 2 2.20000+ 1 2.90000+ 1 2.55494- 7 7.59537- 2 2.20000+ 1 3.00000+ 1 2.55494- 7 7.59678- 2 2.70000+ 1 2.70000+ 1 3.81249- 7 7.61157- 2 2.70000+ 1 2.90000+ 1 4.44785- 7 7.61492- 2 2.70000+ 1 3.00000+ 1 2.54166- 7 7.61632- 2 2.90000+ 1 3.00000+ 1 3.50930- 7 7.61967- 2 3.00000+ 1 3.00000+ 1 1.79680- 7 7.62107- 2 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.09590- 5 5.37000- 4 6.00000+ 0 1.75530- 3 2.18200- 3 1.00000+ 1 2.51260- 2 1.04958- 2 1.10000+ 1 2.99970- 2 1.08570- 2 1.30000+ 1 7.93300- 4 1.12728- 2 1.40000+ 1 1.18740- 3 1.13512- 2 1.80000+ 1 6.28030- 3 1.28256- 2 1.90000+ 1 8.02480- 3 1.29114- 2 2.10000+ 1 1.15680- 4 1.30855- 2 2.20000+ 1 1.81540- 4 1.31014- 2 2.90000+ 1 1.05870- 3 1.33303- 2 3.00000+ 1 1.30580- 3 1.33443- 2 3.20000+ 1 6.98380- 6 1.33880- 2 3.30000+ 1 1.06720- 5 1.33892- 2 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.90000+ 1 1.67143- 2 5.24500- 5 5.00000+ 0 2.10000+ 1 4.63490- 3 2.26480- 4 5.00000+ 0 2.20000+ 1 6.37684- 3 2.42420- 4 5.00000+ 0 2.40000+ 1 1.38592- 2 4.65670- 4 5.00000+ 0 2.50000+ 1 1.82183- 2 4.68940- 4 5.00000+ 0 2.70000+ 1 3.82091- 3 4.37860- 4 5.00000+ 0 2.90000+ 1 2.59647- 3 4.71320- 4 5.00000+ 0 3.00000+ 1 2.48811- 3 4.85340- 4 5.00000+ 0 3.20000+ 1 3.38051- 4 5.29010- 4 5.00000+ 0 3.30000+ 1 3.63896- 4 5.30210- 4 6.00000+ 0 1.30000+ 1 2.31106- 1 5.88000- 5 6.00000+ 0 1.40000+ 1 3.14483- 1 1.37200- 4 6.00000+ 0 1.60000+ 1 1.95544- 2 1.50668- 3 6.00000+ 0 1.80000+ 1 7.89099- 3 1.61165- 3 6.00000+ 0 1.90000+ 1 1.23593- 2 1.69745- 3 6.00000+ 0 2.10000+ 1 2.91684- 2 1.87148- 3 6.00000+ 0 2.20000+ 1 3.51313- 2 1.88742- 3 6.00000+ 0 2.40000+ 1 2.06520- 2 2.11067- 3 6.00000+ 0 2.50000+ 1 2.58789- 2 2.11394- 3 6.00000+ 0 2.70000+ 1 3.55608- 3 2.08286- 3 6.00000+ 0 2.90000+ 1 1.26559- 3 2.11632- 3 6.00000+ 0 3.00000+ 1 1.91480- 3 2.13034- 3 6.00000+ 0 3.20000+ 1 1.95634- 3 2.17401- 3 6.00000+ 0 3.30000+ 1 1.79277- 3 2.17521- 3 8.00000+ 0 8.00000+ 0 5.00787- 3 7.10460- 3 8.00000+ 0 1.00000+ 1 1.02300- 2 7.35010- 3 8.00000+ 0 1.10000+ 1 1.67482- 2 7.71130- 3 8.00000+ 0 1.30000+ 1 1.26328- 2 8.12710- 3 8.00000+ 0 1.40000+ 1 1.65585- 2 8.20550- 3 8.00000+ 0 1.60000+ 1 2.08665- 3 9.57498- 3 8.00000+ 0 1.80000+ 1 2.40372- 3 9.67995- 3 8.00000+ 0 1.90000+ 1 3.86813- 3 9.76575- 3 8.00000+ 0 2.10000+ 1 2.60705- 3 9.93978- 3 8.00000+ 0 2.20000+ 1 3.38359- 3 9.95572- 3 8.00000+ 0 2.40000+ 1 1.92497- 4 1.01790- 2 8.00000+ 0 2.50000+ 1 2.15855- 4 1.01822- 2 8.00000+ 0 2.70000+ 1 3.87053- 4 1.01512- 2 8.00000+ 0 2.90000+ 1 3.93254- 4 1.01846- 2 8.00000+ 0 3.00000+ 1 6.01879- 4 1.01986- 2 8.00000+ 0 3.20000+ 1 1.83810- 4 1.02423- 2 8.00000+ 0 3.30000+ 1 1.83191- 4 1.02435- 2 1.00000+ 1 1.00000+ 1 2.41909- 5 7.59560- 3 1.00000+ 1 1.10000+ 1 2.21647- 4 7.95680- 3 1.00000+ 1 1.30000+ 1 6.07658- 4 8.37260- 3 1.00000+ 1 1.40000+ 1 5.31244- 3 8.45100- 3 1.00000+ 1 1.60000+ 1 1.68051- 3 9.82048- 3 1.00000+ 1 1.80000+ 1 3.72161- 6 9.92545- 3 1.00000+ 1 1.90000+ 1 4.48657- 5 1.00112- 2 1.00000+ 1 2.10000+ 1 1.13305- 4 1.01853- 2 1.00000+ 1 2.20000+ 1 6.95119- 4 1.02012- 2 1.00000+ 1 2.40000+ 1 6.90564- 5 1.04245- 2 1.00000+ 1 2.50000+ 1 2.42109- 4 1.04277- 2 1.00000+ 1 2.70000+ 1 2.94627- 4 1.03967- 2 1.00000+ 1 2.90000+ 1 4.13514- 7 1.04301- 2 1.00000+ 1 3.00000+ 1 6.82297- 6 1.04441- 2 1.00000+ 1 3.20000+ 1 8.06337- 6 1.04878- 2 1.00000+ 1 3.30000+ 1 3.53546- 5 1.04890- 2 1.10000+ 1 1.10000+ 1 4.93739- 4 8.31800- 3 1.10000+ 1 1.30000+ 1 2.03434- 3 8.73380- 3 1.10000+ 1 1.40000+ 1 1.25969- 3 8.81220- 3 1.10000+ 1 1.60000+ 1 2.72120- 3 1.01817- 2 1.10000+ 1 1.80000+ 1 5.04494- 5 1.02866- 2 1.10000+ 1 1.90000+ 1 1.70369- 4 1.03724- 2 1.10000+ 1 2.10000+ 1 1.79886- 4 1.05465- 2 1.10000+ 1 2.20000+ 1 9.98738- 5 1.05624- 2 1.10000+ 1 2.40000+ 1 1.35226- 4 1.07857- 2 1.10000+ 1 2.50000+ 1 1.12058- 4 1.07889- 2 1.10000+ 1 2.70000+ 1 4.75963- 4 1.07579- 2 1.10000+ 1 2.90000+ 1 8.27016- 6 1.07913- 2 1.10000+ 1 3.00000+ 1 2.50180- 5 1.08053- 2 1.10000+ 1 3.20000+ 1 1.09582- 5 1.08490- 2 1.10000+ 1 3.30000+ 1 4.75553- 6 1.08502- 2 1.30000+ 1 1.30000+ 1 7.48680- 4 9.14960- 3 1.30000+ 1 1.40000+ 1 2.28678- 2 9.22800- 3 1.30000+ 1 1.60000+ 1 1.88903- 3 1.05975- 2 1.30000+ 1 1.80000+ 1 1.74503- 4 1.07024- 2 1.30000+ 1 1.90000+ 1 5.20201- 4 1.07882- 2 1.30000+ 1 2.10000+ 1 3.01659- 4 1.09623- 2 1.30000+ 1 2.20000+ 1 3.27214- 3 1.09782- 2 1.30000+ 1 2.40000+ 1 2.11721- 4 1.12015- 2 1.30000+ 1 2.50000+ 1 5.87190- 4 1.12047- 2 1.30000+ 1 2.70000+ 1 3.25228- 4 1.11737- 2 1.30000+ 1 2.90000+ 1 2.95656- 5 1.12071- 2 1.30000+ 1 3.00000+ 1 8.22909- 5 1.12211- 2 1.30000+ 1 3.20000+ 1 2.12960- 5 1.12648- 2 1.30000+ 1 3.30000+ 1 1.67682- 4 1.12660- 2 1.40000+ 1 1.40000+ 1 6.35757- 3 9.30640- 3 1.40000+ 1 1.60000+ 1 2.50916- 3 1.06759- 2 1.40000+ 1 1.80000+ 1 1.11148- 3 1.07808- 2 1.40000+ 1 1.90000+ 1 3.34123- 4 1.08666- 2 1.40000+ 1 2.10000+ 1 3.18863- 3 1.10407- 2 1.40000+ 1 2.20000+ 1 1.92017- 3 1.10566- 2 1.40000+ 1 2.40000+ 1 6.49629- 4 1.12799- 2 1.40000+ 1 2.50000+ 1 4.93932- 4 1.12831- 2 1.40000+ 1 2.70000+ 1 4.34184- 4 1.12521- 2 1.40000+ 1 2.90000+ 1 1.78016- 4 1.12855- 2 1.40000+ 1 3.00000+ 1 5.33438- 5 1.12995- 2 1.40000+ 1 3.20000+ 1 2.11520- 4 1.13432- 2 1.40000+ 1 3.30000+ 1 9.92399- 5 1.13444- 2 1.60000+ 1 1.60000+ 1 2.05108- 4 1.20454- 2 1.60000+ 1 1.80000+ 1 3.95935- 4 1.21503- 2 1.60000+ 1 1.90000+ 1 6.30602- 4 1.22361- 2 1.60000+ 1 2.10000+ 1 3.90563- 4 1.24102- 2 1.60000+ 1 2.20000+ 1 5.10687- 4 1.24261- 2 1.60000+ 1 2.40000+ 1 2.37772- 5 1.26493- 2 1.60000+ 1 2.50000+ 1 2.58434- 5 1.26526- 2 1.60000+ 1 2.70000+ 1 7.52595- 5 1.26215- 2 1.60000+ 1 2.90000+ 1 6.47149- 5 1.26550- 2 1.60000+ 1 3.00000+ 1 9.82049- 5 1.26690- 2 1.60000+ 1 3.20000+ 1 2.74991- 5 1.27127- 2 1.60000+ 1 3.30000+ 1 2.77048- 5 1.27139- 2 1.80000+ 1 1.90000+ 1 1.03379- 5 1.23411- 2 1.80000+ 1 2.10000+ 1 2.83264- 5 1.25151- 2 1.80000+ 1 2.20000+ 1 1.50935- 4 1.25311- 2 1.80000+ 1 2.40000+ 1 9.51105- 6 1.27543- 2 1.80000+ 1 2.50000+ 1 3.74231- 5 1.27576- 2 1.80000+ 1 2.70000+ 1 6.94713- 5 1.27265- 2 1.80000+ 1 3.00000+ 1 1.65415- 6 1.27740- 2 1.80000+ 1 3.20000+ 1 1.86077- 6 1.28177- 2 1.80000+ 1 3.30000+ 1 7.65019- 6 1.28189- 2 1.90000+ 1 1.90000+ 1 1.42670- 5 1.24269- 2 1.90000+ 1 2.10000+ 1 5.21044- 5 1.26009- 2 1.90000+ 1 2.20000+ 1 3.18415- 5 1.26169- 2 1.90000+ 1 2.40000+ 1 2.60522- 5 1.28401- 2 1.90000+ 1 2.50000+ 1 2.10898- 5 1.28434- 2 1.90000+ 1 2.70000+ 1 1.10413- 4 1.28123- 2 1.90000+ 1 2.90000+ 1 1.65420- 6 1.28458- 2 1.90000+ 1 3.00000+ 1 4.13528- 6 1.28598- 2 1.90000+ 1 3.20000+ 1 3.30819- 6 1.29035- 2 1.90000+ 1 3.30000+ 1 1.65420- 6 1.29047- 2 2.10000+ 1 2.10000+ 1 2.81187- 5 1.27750- 2 2.10000+ 1 2.20000+ 1 4.98493- 4 1.27909- 2 2.10000+ 1 2.40000+ 1 2.95658- 5 1.30141- 2 2.10000+ 1 2.50000+ 1 6.24412- 5 1.30174- 2 2.10000+ 1 2.70000+ 1 6.71967- 5 1.29863- 2 2.10000+ 1 2.90000+ 1 4.75553- 6 1.30198- 2 2.10000+ 1 3.00000+ 1 8.47679- 6 1.30338- 2 2.10000+ 1 3.20000+ 1 3.92847- 6 1.30775- 2 2.10000+ 1 3.30000+ 1 2.58438- 5 1.30787- 2 2.20000+ 1 2.20000+ 1 1.55276- 4 1.28068- 2 2.20000+ 1 2.40000+ 1 7.23644- 5 1.30301- 2 2.20000+ 1 2.50000+ 1 6.14065- 5 1.30334- 2 2.20000+ 1 2.70000+ 1 8.82855- 5 1.30023- 2 2.20000+ 1 2.90000+ 1 2.43974- 5 1.30357- 2 2.20000+ 1 3.00000+ 1 5.16899- 6 1.30498- 2 2.20000+ 1 3.20000+ 1 3.34940- 5 1.30934- 2 2.20000+ 1 3.30000+ 1 1.61268- 5 1.30946- 2 2.40000+ 1 2.40000+ 1 9.26496- 7 1.32533- 2 2.40000+ 1 2.50000+ 1 1.91484- 5 1.32566- 2 2.40000+ 1 2.70000+ 1 5.86787- 6 1.32255- 2 2.40000+ 1 2.90000+ 1 2.16185- 6 1.32590- 2 2.40000+ 1 3.00000+ 1 5.86787- 6 1.32730- 2 2.40000+ 1 3.20000+ 1 3.08832- 6 1.33167- 2 2.40000+ 1 3.30000+ 1 5.25017- 6 1.33179- 2 2.50000+ 1 2.50000+ 1 4.34471- 6 1.32599- 2 2.50000+ 1 2.70000+ 1 7.01810- 6 1.32288- 2 2.50000+ 1 2.90000+ 1 9.02340- 6 1.32623- 2 2.50000+ 1 3.00000+ 1 5.01296- 6 1.32763- 2 2.50000+ 1 3.20000+ 1 6.34984- 6 1.33199- 2 2.50000+ 1 3.30000+ 1 5.01296- 6 1.33211- 2 2.70000+ 1 2.70000+ 1 1.82774- 5 1.31977- 2 2.70000+ 1 2.90000+ 1 3.04647- 5 1.32312- 2 2.70000+ 1 3.00000+ 1 4.59697- 5 1.32452- 2 2.70000+ 1 3.20000+ 1 1.27390- 5 1.32889- 2 2.70000+ 1 3.30000+ 1 1.27390- 5 1.32901- 2 2.90000+ 1 3.00000+ 1 9.66332- 7 1.32787- 2 2.90000+ 1 3.20000+ 1 1.93266- 6 1.33223- 2 2.90000+ 1 3.30000+ 1 5.79781- 6 1.33235- 2 3.00000+ 1 3.00000+ 1 8.46040- 7 1.32927- 2 3.00000+ 1 3.20000+ 1 2.53812- 6 1.33363- 2 3.00000+ 1 3.30000+ 1 8.46040- 7 1.33375- 2 3.20000+ 1 3.20000+ 1 1.87959- 7 1.33800- 2 3.20000+ 1 3.30000+ 1 1.50374- 6 1.33812- 2 3.30000+ 1 3.30000+ 1 4.46430- 7 1.33824- 2 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 5.14475- 6 1.64500- 3 8.00000+ 0 7.36658- 3 9.71330- 3 1.10000+ 1 2.61433- 4 1.03200- 2 1.30000+ 1 2.69903- 1 1.07358- 2 1.60000+ 1 1.83212- 3 1.21837- 2 1.90000+ 1 6.94897- 5 1.23744- 2 2.10000+ 1 5.20525- 2 1.25485- 2 2.40000+ 1 1.67682- 4 1.27877- 2 2.70000+ 1 3.61874- 4 1.27599- 2 3.00000+ 1 1.40081- 5 1.28073- 2 3.20000+ 1 3.36594- 3 1.28510- 2 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 6.06754- 3 9.69680- 4 6.00000+ 0 1.80000+ 1 4.01917- 2 1.07465- 3 6.00000+ 0 1.90000+ 1 1.17396- 2 1.16045- 3 6.00000+ 0 2.10000+ 1 4.33456- 2 1.33448- 3 6.00000+ 0 2.20000+ 1 1.50519- 2 1.35042- 3 6.00000+ 0 2.40000+ 1 1.54558- 3 1.57367- 3 6.00000+ 0 2.50000+ 1 2.33481- 3 1.57694- 3 6.00000+ 0 2.70000+ 1 1.05981- 3 1.54586- 3 6.00000+ 0 2.90000+ 1 6.10603- 3 1.57932- 3 6.00000+ 0 3.00000+ 1 1.79282- 3 1.59334- 3 6.00000+ 0 3.20000+ 1 2.95314- 3 1.63701- 3 6.00000+ 0 3.30000+ 1 7.92871- 4 1.63821- 3 8.00000+ 0 8.00000+ 0 6.45752- 4 6.56760- 3 8.00000+ 0 1.00000+ 1 2.10778- 2 6.81310- 3 8.00000+ 0 1.10000+ 1 2.00415- 3 7.17430- 3 8.00000+ 0 1.30000+ 1 2.94042- 3 7.59010- 3 8.00000+ 0 1.40000+ 1 2.10327- 3 7.66850- 3 8.00000+ 0 1.60000+ 1 2.44492- 4 9.03798- 3 8.00000+ 0 1.80000+ 1 3.27807- 3 9.14295- 3 8.00000+ 0 1.90000+ 1 4.13577- 4 9.22875- 3 8.00000+ 0 2.10000+ 1 4.29612- 4 9.40278- 3 8.00000+ 0 2.20000+ 1 2.61619- 4 9.41872- 3 8.00000+ 0 2.40000+ 1 8.93503- 5 9.64197- 3 8.00000+ 0 2.50000+ 1 6.04570- 5 9.64524- 3 8.00000+ 0 2.70000+ 1 4.44064- 5 9.61416- 3 8.00000+ 0 2.90000+ 1 4.95950- 4 9.64762- 3 8.00000+ 0 3.00000+ 1 6.31320- 5 9.66164- 3 8.00000+ 0 3.20000+ 1 2.88910- 5 9.70531- 3 8.00000+ 0 3.30000+ 1 1.33757- 5 9.70651- 3 1.00000+ 1 1.00000+ 1 2.17961- 2 7.05860- 3 1.00000+ 1 1.10000+ 1 5.80597- 2 7.41980- 3 1.00000+ 1 1.30000+ 1 3.04264- 2 7.83560- 3 1.00000+ 1 1.40000+ 1 4.51335- 2 7.91400- 3 1.00000+ 1 1.60000+ 1 5.28610- 3 9.28348- 3 1.00000+ 1 1.80000+ 1 8.64167- 3 9.38845- 3 1.00000+ 1 1.90000+ 1 1.31667- 2 9.47425- 3 1.00000+ 1 2.10000+ 1 6.28455- 3 9.64828- 3 1.00000+ 1 2.20000+ 1 9.27689- 3 9.66422- 3 1.00000+ 1 2.40000+ 1 4.34979- 4 9.88747- 3 1.00000+ 1 2.50000+ 1 3.89497- 4 9.89074- 3 1.00000+ 1 2.70000+ 1 1.01017- 3 9.85966- 3 1.00000+ 1 2.90000+ 1 1.37660- 3 9.89312- 3 1.00000+ 1 3.00000+ 1 2.04281- 3 9.90714- 3 1.00000+ 1 3.20000+ 1 4.43548- 4 9.95081- 3 1.00000+ 1 3.30000+ 1 5.02932- 4 9.95201- 3 1.10000+ 1 1.10000+ 1 1.37765- 3 7.78100- 3 1.10000+ 1 1.30000+ 1 2.94853- 2 8.19680- 3 1.10000+ 1 1.40000+ 1 4.19509- 3 8.27520- 3 1.10000+ 1 1.60000+ 1 4.23728- 4 9.64468- 3 1.10000+ 1 1.80000+ 1 9.25533- 3 9.74965- 3 1.10000+ 1 1.90000+ 1 5.34475- 4 9.83545- 3 1.10000+ 1 2.10000+ 1 5.12646- 3 1.00095- 2 1.10000+ 1 2.20000+ 1 6.97687- 4 1.00254- 2 1.10000+ 1 2.40000+ 1 1.97959- 4 1.02487- 2 1.10000+ 1 2.50000+ 1 1.06465- 4 1.02519- 2 1.10000+ 1 2.70000+ 1 7.81142- 5 1.02209- 2 1.10000+ 1 2.90000+ 1 1.40652- 3 1.02543- 2 1.10000+ 1 3.00000+ 1 8.07851- 5 1.02683- 2 1.10000+ 1 3.20000+ 1 3.52050- 4 1.03120- 2 1.10000+ 1 3.30000+ 1 3.69158- 5 1.03132- 2 1.30000+ 1 1.30000+ 1 2.78611- 2 8.61260- 3 1.30000+ 1 1.40000+ 1 1.12411- 1 8.69100- 3 1.30000+ 1 1.60000+ 1 7.37828- 4 1.00605- 2 1.30000+ 1 1.80000+ 1 4.73878- 3 1.01655- 2 1.30000+ 1 1.90000+ 1 6.22922- 3 1.02512- 2 1.30000+ 1 2.10000+ 1 9.56178- 3 1.04253- 2 1.30000+ 1 2.20000+ 1 2.07555- 2 1.04412- 2 1.30000+ 1 2.40000+ 1 1.59165- 3 1.06645- 2 1.30000+ 1 2.50000+ 1 3.23302- 3 1.06677- 2 1.30000+ 1 2.70000+ 1 1.41246- 4 1.06367- 2 1.30000+ 1 2.90000+ 1 7.22284- 4 1.06701- 2 1.30000+ 1 3.00000+ 1 9.53392- 4 1.06841- 2 1.30000+ 1 3.20000+ 1 6.58080- 4 1.07278- 2 1.30000+ 1 3.30000+ 1 1.10697- 3 1.07290- 2 1.40000+ 1 1.40000+ 1 5.43571- 3 8.76940- 3 1.40000+ 1 1.60000+ 1 4.27473- 4 1.01389- 2 1.40000+ 1 1.80000+ 1 6.21532- 3 1.02438- 2 1.40000+ 1 1.90000+ 1 8.14290- 4 1.03296- 2 1.40000+ 1 2.10000+ 1 1.58892- 2 1.05037- 2 1.40000+ 1 2.20000+ 1 1.82384- 3 1.05196- 2 1.40000+ 1 2.40000+ 1 6.38811- 4 1.07429- 2 1.40000+ 1 2.50000+ 1 2.45572- 4 1.07461- 2 1.40000+ 1 2.70000+ 1 7.81136- 5 1.07151- 2 1.40000+ 1 2.90000+ 1 9.17016- 4 1.07485- 2 1.40000+ 1 3.00000+ 1 1.22520- 4 1.07625- 2 1.40000+ 1 3.20000+ 1 1.05824- 3 1.08062- 2 1.40000+ 1 3.30000+ 1 9.62999- 5 1.08074- 2 1.60000+ 1 1.60000+ 1 2.24691- 5 1.15084- 2 1.60000+ 1 1.80000+ 1 8.27629- 4 1.16133- 2 1.60000+ 1 1.90000+ 1 8.82779- 5 1.16991- 2 1.60000+ 1 2.10000+ 1 1.04327- 4 1.18732- 2 1.60000+ 1 2.20000+ 1 5.35008- 5 1.18891- 2 1.60000+ 1 2.40000+ 1 1.97952- 5 1.21123- 2 1.60000+ 1 2.50000+ 1 1.07004- 5 1.21156- 2 1.60000+ 1 2.70000+ 1 8.02513- 6 1.20845- 2 1.60000+ 1 2.90000+ 1 1.25184- 4 1.21180- 2 1.60000+ 1 3.00000+ 1 1.33752- 5 1.21320- 2 1.60000+ 1 3.20000+ 1 6.95469- 6 1.21757- 2 1.60000+ 1 3.30000+ 1 2.67493- 6 1.21769- 2 1.80000+ 1 1.80000+ 1 8.15379- 4 1.17183- 2 1.80000+ 1 1.90000+ 1 2.10523- 3 1.18041- 2 1.80000+ 1 2.10000+ 1 9.63562- 4 1.19781- 2 1.80000+ 1 2.20000+ 1 1.28939- 3 1.19941- 2 1.80000+ 1 2.40000+ 1 5.51075- 5 1.22173- 2 1.80000+ 1 2.50000+ 1 4.01270- 5 1.22206- 2 1.80000+ 1 2.70000+ 1 1.58375- 4 1.21895- 2 1.80000+ 1 2.90000+ 1 2.57346- 4 1.22230- 2 1.80000+ 1 3.00000+ 1 3.26912- 4 1.22370- 2 1.80000+ 1 3.20000+ 1 6.79493- 5 1.22807- 2 1.80000+ 1 3.30000+ 1 7.00892- 5 1.22819- 2 1.90000+ 1 1.90000+ 1 5.18971- 5 1.18899- 2 1.90000+ 1 2.10000+ 1 1.09144- 3 1.20639- 2 1.90000+ 1 2.20000+ 1 1.38039- 4 1.20799- 2 1.90000+ 1 2.40000+ 1 3.47768- 5 1.23031- 2 1.90000+ 1 2.50000+ 1 1.76555- 5 1.23064- 2 1.90000+ 1 2.70000+ 1 1.60510- 5 1.22753- 2 1.90000+ 1 2.90000+ 1 3.19945- 4 1.23088- 2 1.90000+ 1 3.00000+ 1 1.55158- 5 1.23228- 2 1.90000+ 1 3.20000+ 1 7.49066- 5 1.23665- 2 1.90000+ 1 3.30000+ 1 7.49066- 6 1.23677- 2 2.10000+ 1 2.10000+ 1 8.11656- 4 1.22380- 2 2.10000+ 1 2.20000+ 1 3.05182- 3 1.22539- 2 2.10000+ 1 2.40000+ 1 1.87791- 4 1.24771- 2 2.10000+ 1 2.50000+ 1 3.85753- 4 1.24804- 2 2.10000+ 1 2.70000+ 1 1.97963- 5 1.24493- 2 2.10000+ 1 2.90000+ 1 1.46066- 4 1.24828- 2 2.10000+ 1 3.00000+ 1 1.67464- 4 1.24968- 2 2.10000+ 1 3.20000+ 1 1.11289- 4 1.25405- 2 2.10000+ 1 3.30000+ 1 1.63716- 4 1.25417- 2 2.20000+ 1 2.20000+ 1 1.70077- 4 1.22698- 2 2.20000+ 1 2.40000+ 1 8.97597- 5 1.24931- 2 2.20000+ 1 2.50000+ 1 3.54301- 5 1.24964- 2 2.20000+ 1 2.70000+ 1 1.06291- 5 1.24653- 2 2.20000+ 1 2.90000+ 1 2.10232- 4 1.24987- 2 2.20000+ 1 3.00000+ 1 2.30298- 5 1.25128- 2 2.20000+ 1 3.20000+ 1 2.25575- 4 1.25564- 2 2.20000+ 1 3.30000+ 1 1.77157- 5 1.25576- 2 2.40000+ 1 2.40000+ 1 4.25520- 6 1.27163- 2 2.40000+ 1 2.50000+ 1 2.97875- 5 1.27196- 2 2.40000+ 1 2.70000+ 1 4.25520- 6 1.26885- 2 2.40000+ 1 2.90000+ 1 9.11873- 6 1.27220- 2 2.40000+ 1 3.00000+ 1 6.07914- 6 1.27360- 2 2.40000+ 1 3.20000+ 1 1.39817- 5 1.27797- 2 2.40000+ 1 3.30000+ 1 4.86329- 6 1.27809- 2 2.50000+ 1 2.50000+ 1 2.04392- 6 1.27229- 2 2.50000+ 1 2.70000+ 1 2.72518- 6 1.26918- 2 2.50000+ 1 2.90000+ 1 6.81313- 6 1.27253- 2 2.50000+ 1 3.00000+ 1 3.40642- 6 1.27393- 2 2.50000+ 1 3.20000+ 1 3.20209- 5 1.27829- 2 2.50000+ 1 3.30000+ 1 2.04392- 6 1.27841- 2 2.70000+ 1 2.70000+ 1 6.48262- 7 1.26607- 2 2.70000+ 1 2.90000+ 1 2.91721- 5 1.26942- 2 2.70000+ 1 3.00000+ 1 3.24118- 6 1.27082- 2 2.70000+ 1 3.20000+ 1 1.29655- 6 1.27519- 2 2.70000+ 1 3.30000+ 1 6.48262- 7 1.27531- 2 2.90000+ 1 2.90000+ 1 2.57860- 5 1.27276- 2 2.90000+ 1 3.00000+ 1 6.31104- 5 1.27417- 2 2.90000+ 1 3.20000+ 1 1.28924- 5 1.27853- 2 2.90000+ 1 3.30000+ 1 1.28924- 5 1.27865- 2 3.00000+ 1 3.00000+ 1 1.56716- 6 1.27557- 2 3.00000+ 1 3.20000+ 1 1.64539- 5 1.27993- 2 3.00000+ 1 3.30000+ 1 1.56716- 6 1.28005- 2 3.20000+ 1 3.20000+ 1 3.74511- 6 1.28430- 2 3.20000+ 1 3.30000+ 1 1.07010- 5 1.28442- 2 3.30000+ 1 3.30000+ 1 5.35026- 7 1.28454- 2 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.37481- 2 8.06830- 3 1.00000+ 1 1.27131- 4 8.31380- 3 1.10000+ 1 1.15071- 4 8.67500- 3 1.30000+ 1 2.37431- 2 9.09080- 3 1.40000+ 1 2.09331- 1 9.16920- 3 1.60000+ 1 2.75612- 3 1.05387- 2 1.80000+ 1 2.78182- 5 1.06436- 2 1.90000+ 1 2.77672- 5 1.07294- 2 2.10000+ 1 4.25822- 3 1.09035- 2 2.20000+ 1 3.83162- 2 1.09194- 2 2.40000+ 1 2.47901- 5 1.11427- 2 2.50000+ 1 1.38961- 4 1.11459- 2 2.70000+ 1 5.72073- 4 1.11149- 2 2.90000+ 1 5.85503- 6 1.11483- 2 3.00000+ 1 5.72263- 6 1.11623- 2 3.20000+ 1 2.71372- 4 1.12060- 2 3.30000+ 1 2.33251- 3 1.12072- 2 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 8.43104- 4 4.92260- 3 8.00000+ 0 1.00000+ 1 4.54736- 4 5.16810- 3 8.00000+ 0 1.10000+ 1 2.25018- 2 5.52930- 3 8.00000+ 0 1.30000+ 1 2.63504- 3 5.94510- 3 8.00000+ 0 1.40000+ 1 4.07665- 3 6.02350- 3 8.00000+ 0 1.60000+ 1 3.20273- 4 7.39298- 3 8.00000+ 0 1.80000+ 1 8.04748- 5 7.49795- 3 8.00000+ 0 1.90000+ 1 3.43215- 3 7.58375- 3 8.00000+ 0 2.10000+ 1 2.61405- 4 7.75778- 3 8.00000+ 0 2.20000+ 1 3.67243- 4 7.77372- 3 8.00000+ 0 2.40000+ 1 1.87949- 4 7.99697- 3 8.00000+ 0 2.50000+ 1 3.35394- 4 8.00024- 3 8.00000+ 0 2.70000+ 1 5.77883- 5 7.96916- 3 8.00000+ 0 2.90000+ 1 1.24221- 5 8.00262- 3 8.00000+ 0 3.00000+ 1 4.94717- 4 8.01664- 3 8.00000+ 0 3.20000+ 1 1.67426- 5 8.06031- 3 8.00000+ 0 3.30000+ 1 1.72828- 5 8.06151- 3 1.00000+ 1 1.00000+ 1 7.18331- 5 5.41360- 3 1.00000+ 1 1.10000+ 1 3.77861- 2 5.77480- 3 1.00000+ 1 1.30000+ 1 1.90442- 3 6.19060- 3 1.00000+ 1 1.40000+ 1 1.66203- 2 6.26900- 3 1.00000+ 1 1.60000+ 1 9.23552- 5 7.63848- 3 1.00000+ 1 1.80000+ 1 3.02446- 5 7.74345- 3 1.00000+ 1 1.90000+ 1 5.98214- 3 7.82925- 3 1.00000+ 1 2.10000+ 1 3.49988- 4 8.00328- 3 1.00000+ 1 2.20000+ 1 2.53306- 3 8.01922- 3 1.00000+ 1 2.40000+ 1 1.91738- 4 8.24247- 3 1.00000+ 1 2.50000+ 1 4.91492- 4 8.24574- 3 1.00000+ 1 2.70000+ 1 1.72830- 5 8.21466- 3 1.00000+ 1 2.90000+ 1 4.86090- 6 8.24812- 3 1.00000+ 1 3.00000+ 1 8.68449- 4 8.26214- 3 1.00000+ 1 3.20000+ 1 2.43045- 5 8.30581- 3 1.00000+ 1 3.30000+ 1 1.31784- 4 8.30701- 3 1.10000+ 1 1.10000+ 1 4.87317- 2 6.13600- 3 1.10000+ 1 1.30000+ 1 5.09555- 2 6.55180- 3 1.10000+ 1 1.40000+ 1 7.05657- 2 6.63020- 3 1.10000+ 1 1.60000+ 1 5.56977- 3 7.99968- 3 1.10000+ 1 1.80000+ 1 8.36555- 3 8.10465- 3 1.10000+ 1 1.90000+ 1 1.86412- 2 8.19045- 3 1.10000+ 1 2.10000+ 1 9.93276- 3 8.36448- 3 1.10000+ 1 2.20000+ 1 1.35285- 2 8.38042- 3 1.10000+ 1 2.40000+ 1 7.63640- 4 8.60367- 3 1.10000+ 1 2.50000+ 1 9.54852- 4 8.60694- 3 1.10000+ 1 2.70000+ 1 1.06178- 3 8.57586- 3 1.10000+ 1 2.90000+ 1 1.35506- 3 8.60932- 3 1.10000+ 1 3.00000+ 1 2.81386- 3 8.62334- 3 1.10000+ 1 3.20000+ 1 6.95616- 4 8.66701- 3 1.10000+ 1 3.30000+ 1 7.25848- 4 8.66821- 3 1.30000+ 1 1.30000+ 1 7.16697- 3 6.96760- 3 1.30000+ 1 1.40000+ 1 1.34612- 1 7.04600- 3 1.30000+ 1 1.60000+ 1 6.23783- 4 8.41548- 3 1.30000+ 1 1.80000+ 1 4.35845- 4 8.52045- 3 1.30000+ 1 1.90000+ 1 7.37952- 3 8.60625- 3 1.30000+ 1 2.10000+ 1 2.39465- 3 8.78028- 3 1.30000+ 1 2.20000+ 1 1.88178- 2 8.79622- 3 1.30000+ 1 2.40000+ 1 4.26658- 4 9.01947- 3 1.30000+ 1 2.50000+ 1 1.45164- 3 9.02274- 3 1.30000+ 1 2.70000+ 1 1.18277- 4 8.99166- 3 1.30000+ 1 2.90000+ 1 7.07480- 5 9.02512- 3 1.30000+ 1 3.00000+ 1 1.05374- 3 9.03914- 3 1.30000+ 1 3.20000+ 1 1.64725- 4 9.08281- 3 1.30000+ 1 3.30000+ 1 9.64556- 4 9.08401- 3 1.40000+ 1 1.40000+ 1 8.99637- 2 7.12440- 3 1.40000+ 1 1.60000+ 1 9.92183- 4 8.49388- 3 1.40000+ 1 1.80000+ 1 3.35282- 3 8.59885- 3 1.40000+ 1 1.90000+ 1 1.15339- 2 8.68465- 3 1.40000+ 1 2.10000+ 1 2.27445- 2 8.85868- 3 1.40000+ 1 2.20000+ 1 2.86896- 2 8.87462- 3 1.40000+ 1 2.40000+ 1 4.52388- 3 9.09787- 3 1.40000+ 1 2.50000+ 1 4.12958- 3 9.10114- 3 1.40000+ 1 2.70000+ 1 1.89581- 4 9.07006- 3 1.40000+ 1 2.90000+ 1 5.33619- 4 9.10352- 3 1.40000+ 1 3.00000+ 1 1.69429- 3 9.11754- 3 1.40000+ 1 3.20000+ 1 1.56035- 3 9.16121- 3 1.40000+ 1 3.30000+ 1 1.50300- 3 9.16241- 3 1.60000+ 1 1.60000+ 1 3.07844- 5 9.86336- 3 1.60000+ 1 1.80000+ 1 1.72828- 5 9.96833- 3 1.60000+ 1 1.90000+ 1 8.49573- 4 1.00541- 2 1.60000+ 1 2.10000+ 1 6.75098- 5 1.02282- 2 1.60000+ 1 2.20000+ 1 9.72168- 5 1.02441- 2 1.60000+ 1 2.40000+ 1 2.59238- 5 1.04673- 2 1.60000+ 1 2.50000+ 1 5.23877- 5 1.04706- 2 1.60000+ 1 2.70000+ 1 1.13418- 5 1.04395- 2 1.60000+ 1 2.90000+ 1 2.70042- 6 1.04730- 2 1.60000+ 1 3.00000+ 1 1.22605- 4 1.04870- 2 1.60000+ 1 3.20000+ 1 4.32075- 6 1.05307- 2 1.60000+ 1 3.30000+ 1 4.86085- 6 1.05319- 2 1.80000+ 1 1.80000+ 1 2.16028- 6 1.00733- 2 1.80000+ 1 1.90000+ 1 1.31786- 3 1.01591- 2 1.80000+ 1 2.10000+ 1 7.61556- 5 1.03331- 2 1.80000+ 1 2.20000+ 1 5.40638- 4 1.03491- 2 1.80000+ 1 2.40000+ 1 2.80862- 5 1.05723- 2 1.80000+ 1 2.50000+ 1 6.80516- 5 1.05756- 2 1.80000+ 1 2.70000+ 1 3.24057- 6 1.05445- 2 1.80000+ 1 2.90000+ 1 5.40105- 7 1.05780- 2 1.80000+ 1 3.00000+ 1 1.91197- 4 1.05920- 2 1.80000+ 1 3.20000+ 1 5.40105- 6 1.06357- 2 1.80000+ 1 3.30000+ 1 2.80862- 5 1.06369- 2 1.90000+ 1 1.90000+ 1 1.70771- 3 1.02449- 2 1.90000+ 1 2.10000+ 1 1.44203- 3 1.04189- 2 1.90000+ 1 2.20000+ 1 2.17711- 3 1.04349- 2 1.90000+ 1 2.40000+ 1 9.12781- 5 1.06581- 2 1.90000+ 1 2.50000+ 1 1.20437- 4 1.06614- 2 1.90000+ 1 2.70000+ 1 1.62026- 4 1.06303- 2 1.90000+ 1 2.90000+ 1 2.13333- 4 1.06638- 2 1.90000+ 1 3.00000+ 1 5.11468- 4 1.06778- 2 1.90000+ 1 3.20000+ 1 1.00998- 4 1.07215- 2 1.90000+ 1 3.30000+ 1 1.16651- 4 1.07227- 2 2.10000+ 1 2.10000+ 1 1.92268- 4 1.05930- 2 2.10000+ 1 2.20000+ 1 3.31511- 3 1.06089- 2 2.10000+ 1 2.40000+ 1 4.80696- 5 1.08321- 2 2.10000+ 1 2.50000+ 1 1.56092- 4 1.08354- 2 2.10000+ 1 2.70000+ 1 1.29613- 5 1.08043- 2 2.10000+ 1 2.90000+ 1 1.24222- 5 1.08378- 2 2.10000+ 1 3.00000+ 1 2.05763- 4 1.08518- 2 2.10000+ 1 3.20000+ 1 2.64631- 5 1.08955- 2 2.10000+ 1 3.30000+ 1 1.70671- 4 1.08967- 2 2.20000+ 1 2.20000+ 1 2.44735- 3 1.06248- 2 2.20000+ 1 2.40000+ 1 5.28874- 4 1.08481- 2 2.20000+ 1 2.50000+ 1 4.75406- 4 1.08514- 2 2.20000+ 1 2.70000+ 1 2.01207- 5 1.08203- 2 2.20000+ 1 2.90000+ 1 9.25558- 5 1.08537- 2 2.20000+ 1 3.00000+ 1 3.39167- 4 1.08678- 2 2.20000+ 1 3.20000+ 1 2.43164- 4 1.09114- 2 2.20000+ 1 3.30000+ 1 2.56384- 4 1.09126- 2 2.40000+ 1 2.40000+ 1 2.14621- 6 1.10713- 2 2.40000+ 1 2.50000+ 1 6.58172- 5 1.10746- 2 2.40000+ 1 2.70000+ 1 5.72333- 6 1.10435- 2 2.40000+ 1 2.90000+ 1 5.72333- 6 1.10770- 2 2.40000+ 1 3.00000+ 1 1.64545- 5 1.10910- 2 2.40000+ 1 3.20000+ 1 4.29241- 6 1.11347- 2 2.40000+ 1 3.30000+ 1 3.21937- 5 1.11359- 2 2.50000+ 1 2.50000+ 1 1.87475- 5 1.10779- 2 2.50000+ 1 2.70000+ 1 9.65740- 6 1.10468- 2 2.50000+ 1 2.90000+ 1 1.07936- 5 1.10803- 2 2.50000+ 1 3.00000+ 1 1.76111- 5 1.10943- 2 2.50000+ 1 3.20000+ 1 1.02259- 5 1.11379- 2 2.50000+ 1 3.30000+ 1 2.32920- 5 1.11391- 2 2.70000+ 1 2.70000+ 1 1.66837- 6 1.10157- 2 2.70000+ 1 2.90000+ 1 8.34199- 7 1.10492- 2 2.70000+ 1 3.00000+ 1 3.58719- 5 1.10632- 2 2.70000+ 1 3.20000+ 1 1.66837- 6 1.11069- 2 2.70000+ 1 3.30000+ 1 1.66837- 6 1.11081- 2 2.90000+ 1 3.00000+ 1 6.03240- 5 1.10967- 2 2.90000+ 1 3.20000+ 1 2.11665- 6 1.11403- 2 2.90000+ 1 3.30000+ 1 8.46679- 6 1.11415- 2 3.00000+ 1 3.00000+ 1 8.76746- 5 1.11107- 2 3.00000+ 1 3.20000+ 1 3.33416- 5 1.11543- 2 3.00000+ 1 3.30000+ 1 3.95147- 5 1.11555- 2 3.20000+ 1 3.20000+ 1 1.08017- 6 1.11980- 2 3.20000+ 1 3.30000+ 1 1.13419- 5 1.11992- 2 3.30000+ 1 3.30000+ 1 7.02114- 6 1.12004- 2 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.00671- 5 2.45500- 4 1.10000+ 1 3.24142- 4 6.06700- 4 1.80000+ 1 1.17487- 3 2.57535- 3 1.90000+ 1 1.03542- 3 2.66115- 3 2.90000+ 1 2.55881- 4 3.08002- 3 3.00000+ 1 2.29100- 4 3.09404- 3 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 3.67887- 2 1.74170- 4 1.00000+ 1 2.50000+ 1 4.94262- 2 1.77440- 4 1.00000+ 1 2.70000+ 1 1.05787- 2 1.46360- 4 1.00000+ 1 2.90000+ 1 9.75215- 3 1.79820- 4 1.00000+ 1 3.00000+ 1 1.32198- 2 1.93840- 4 1.00000+ 1 3.20000+ 1 3.66598- 3 2.37510- 4 1.00000+ 1 3.30000+ 1 4.68110- 3 2.38710- 4 1.10000+ 1 1.80000+ 1 6.27989- 2 3.63500- 5 1.10000+ 1 1.90000+ 1 6.89724- 2 1.22150- 4 1.10000+ 1 2.10000+ 1 2.42545- 2 2.96180- 4 1.10000+ 1 2.20000+ 1 3.77440- 2 3.12120- 4 1.10000+ 1 2.40000+ 1 1.63040- 1 5.35370- 4 1.10000+ 1 2.50000+ 1 2.02938- 1 5.38640- 4 1.10000+ 1 2.70000+ 1 1.03039- 2 5.07560- 4 1.10000+ 1 2.90000+ 1 9.39547- 3 5.41020- 4 1.10000+ 1 3.00000+ 1 1.04327- 2 5.55040- 4 1.10000+ 1 3.20000+ 1 1.40902- 3 5.98710- 4 1.10000+ 1 3.30000+ 1 2.11668- 3 5.99910- 4 1.30000+ 1 1.60000+ 1 2.58917- 2 3.47180- 4 1.30000+ 1 1.80000+ 1 5.69405- 3 4.52150- 4 1.30000+ 1 1.90000+ 1 6.34056- 3 5.37950- 4 1.30000+ 1 2.10000+ 1 8.78082- 3 7.11980- 4 1.30000+ 1 2.20000+ 1 1.09112- 2 7.27920- 4 1.30000+ 1 2.40000+ 1 8.40036- 3 9.51170- 4 1.30000+ 1 2.50000+ 1 7.75761- 3 9.54440- 4 1.30000+ 1 2.70000+ 1 3.21708- 3 9.23360- 4 1.30000+ 1 2.90000+ 1 7.27434- 4 9.56820- 4 1.30000+ 1 3.00000+ 1 7.54950- 4 9.70840- 4 1.30000+ 1 3.20000+ 1 4.68964- 4 1.01451- 3 1.30000+ 1 3.30000+ 1 5.76700- 4 1.01571- 3 1.40000+ 1 1.60000+ 1 3.63558- 2 4.25580- 4 1.40000+ 1 1.80000+ 1 1.02317- 3 5.30550- 4 1.40000+ 1 1.90000+ 1 1.10881- 2 6.16350- 4 1.40000+ 1 2.10000+ 1 1.21470- 2 7.90380- 4 1.40000+ 1 2.20000+ 1 1.75366- 2 8.06320- 4 1.40000+ 1 2.40000+ 1 9.52861- 3 1.02957- 3 1.40000+ 1 2.50000+ 1 1.49032- 2 1.03284- 3 1.40000+ 1 2.70000+ 1 4.48997- 3 1.00176- 3 1.40000+ 1 2.90000+ 1 1.47968- 4 1.03522- 3 1.40000+ 1 3.00000+ 1 1.31206- 3 1.04924- 3 1.40000+ 1 3.20000+ 1 6.97286- 4 1.09291- 3 1.40000+ 1 3.30000+ 1 8.93743- 4 1.09411- 3 1.60000+ 1 1.60000+ 1 2.81920- 3 1.79506- 3 1.60000+ 1 1.80000+ 1 4.87383- 3 1.90003- 3 1.60000+ 1 1.90000+ 1 8.19924- 3 1.98583- 3 1.60000+ 1 2.10000+ 1 9.31670- 3 2.15986- 3 1.60000+ 1 2.20000+ 1 1.31841- 2 2.17580- 3 1.60000+ 1 2.40000+ 1 6.08851- 3 2.39905- 3 1.60000+ 1 2.50000+ 1 7.66260- 3 2.40232- 3 1.60000+ 1 2.70000+ 1 8.83351- 4 2.37124- 3 1.60000+ 1 2.90000+ 1 7.93078- 4 2.40470- 3 1.60000+ 1 3.00000+ 1 1.26942- 3 2.41872- 3 1.60000+ 1 3.20000+ 1 5.82835- 4 2.46239- 3 1.60000+ 1 3.30000+ 1 7.60920- 4 2.46359- 3 1.80000+ 1 1.80000+ 1 2.12919- 4 2.00500- 3 1.80000+ 1 1.90000+ 1 5.92229- 4 2.09080- 3 1.80000+ 1 2.10000+ 1 3.17967- 4 2.26483- 3 1.80000+ 1 2.20000+ 1 1.82051- 4 2.28077- 3 1.80000+ 1 2.40000+ 1 5.30681- 5 2.50402- 3 1.80000+ 1 2.50000+ 1 4.46081- 4 2.50729- 3 1.80000+ 1 2.70000+ 1 5.81794- 4 2.47621- 3 1.80000+ 1 2.90000+ 1 5.30681- 5 2.50967- 3 1.80000+ 1 3.00000+ 1 6.91630- 5 2.52369- 3 1.80000+ 1 3.20000+ 1 1.76171- 5 2.56736- 3 1.80000+ 1 3.30000+ 1 1.23972- 5 2.56856- 3 1.90000+ 1 1.90000+ 1 7.12715- 4 2.17660- 3 1.90000+ 1 2.10000+ 1 6.13984- 4 2.35063- 3 1.90000+ 1 2.20000+ 1 1.43544- 3 2.36657- 3 1.90000+ 1 2.40000+ 1 5.45263- 4 2.58982- 3 1.90000+ 1 2.50000+ 1 9.79147- 4 2.59309- 3 1.90000+ 1 2.70000+ 1 9.83295- 4 2.56201- 3 1.90000+ 1 2.90000+ 1 8.15595- 5 2.59547- 3 1.90000+ 1 3.00000+ 1 1.85951- 4 2.60949- 3 1.90000+ 1 3.20000+ 1 3.89322- 5 2.65316- 3 1.90000+ 1 3.30000+ 1 7.93837- 5 2.65436- 3 2.10000+ 1 2.10000+ 1 1.11459- 4 2.52466- 3 2.10000+ 1 2.20000+ 1 4.82377- 4 2.54060- 3 2.10000+ 1 2.40000+ 1 4.63986- 4 2.76385- 3 2.10000+ 1 2.50000+ 1 3.26091- 3 2.76712- 3 2.10000+ 1 2.70000+ 1 1.15758- 3 2.73604- 3 2.10000+ 1 2.90000+ 1 3.74593- 5 2.76950- 3 2.10000+ 1 3.00000+ 1 7.95166- 5 2.78352- 3 2.10000+ 1 3.20000+ 1 1.12607- 5 2.82719- 3 2.10000+ 1 3.30000+ 1 2.41295- 5 2.82839- 3 2.20000+ 1 2.20000+ 1 2.83493- 4 2.55654- 3 2.20000+ 1 2.40000+ 1 3.02146- 3 2.77979- 3 2.20000+ 1 2.50000+ 1 1.78401- 3 2.78306- 3 2.20000+ 1 2.70000+ 1 1.59837- 3 2.75198- 3 2.20000+ 1 2.90000+ 1 2.31563- 5 2.78544- 3 2.20000+ 1 3.00000+ 1 1.79632- 4 2.79946- 3 2.20000+ 1 3.20000+ 1 2.38303- 5 2.84313- 3 2.20000+ 1 3.30000+ 1 2.76513- 5 2.84433- 3 2.40000+ 1 2.40000+ 1 5.43522- 4 3.00304- 3 2.40000+ 1 2.50000+ 1 3.75019- 3 3.00631- 3 2.40000+ 1 2.70000+ 1 6.61623- 4 2.97523- 3 2.40000+ 1 2.90000+ 1 6.08983- 6 3.00869- 3 2.40000+ 1 3.00000+ 1 5.06758- 5 3.02271- 3 2.40000+ 1 3.20000+ 1 2.52288- 5 3.06638- 3 2.40000+ 1 3.30000+ 1 1.67673- 4 3.06758- 3 2.50000+ 1 2.50000+ 1 1.29149- 3 3.00958- 3 2.50000+ 1 2.70000+ 1 8.44282- 4 2.97850- 3 2.50000+ 1 2.90000+ 1 6.57778- 5 3.01196- 3 2.50000+ 1 3.00000+ 1 9.75619- 5 3.02598- 3 2.50000+ 1 3.20000+ 1 1.90491- 4 3.06965- 3 2.50000+ 1 3.30000+ 1 9.73432- 5 3.07085- 3 2.70000+ 1 2.70000+ 1 9.06400- 5 2.94742- 3 2.70000+ 1 2.90000+ 1 1.36425- 4 2.98088- 3 2.70000+ 1 3.00000+ 1 2.18367- 4 2.99490- 3 2.70000+ 1 3.20000+ 1 9.84288- 5 3.03857- 3 2.70000+ 1 3.30000+ 1 1.28331- 4 3.03977- 3 2.90000+ 1 2.90000+ 1 9.40023- 6 3.01434- 3 2.90000+ 1 3.00000+ 1 2.69489- 5 3.02836- 3 2.90000+ 1 3.20000+ 1 5.64033- 6 3.07203- 3 2.90000+ 1 3.30000+ 1 4.38683- 6 3.07323- 3 3.00000+ 1 3.00000+ 1 3.81549- 5 3.04238- 3 3.00000+ 1 3.20000+ 1 1.55446- 5 3.08605- 3 3.00000+ 1 3.30000+ 1 3.10897- 5 3.08725- 3 3.20000+ 1 3.20000+ 1 1.06580- 6 3.12972- 3 3.20000+ 1 3.30000+ 1 5.32864- 6 3.13092- 3 3.30000+ 1 3.30000+ 1 7.21608- 6 3.13212- 3 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 8.60582- 4 7.77000- 4 1.60000+ 1 6.66841- 4 2.22488- 3 2.10000+ 1 3.54821- 3 2.58968- 3 2.70000+ 1 1.36830- 4 2.80106- 3 3.20000+ 1 2.64131- 4 2.89221- 3 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 6.65147- 3 5.06800- 5 1.10000+ 1 2.20000+ 1 1.62870- 2 6.66200- 5 1.10000+ 1 2.40000+ 1 2.81718- 2 2.89870- 4 1.10000+ 1 2.50000+ 1 2.69674- 2 2.93140- 4 1.10000+ 1 2.70000+ 1 3.16211- 3 2.62060- 4 1.10000+ 1 2.90000+ 1 3.75838- 3 2.95520- 4 1.10000+ 1 3.00000+ 1 2.75699- 3 3.09540- 4 1.10000+ 1 3.20000+ 1 4.63602- 4 3.53210- 4 1.10000+ 1 3.30000+ 1 9.95404- 4 3.54410- 4 1.30000+ 1 1.60000+ 1 5.13659- 2 1.01680- 4 1.30000+ 1 1.80000+ 1 5.24147- 2 2.06650- 4 1.30000+ 1 1.90000+ 1 5.35644- 2 2.92450- 4 1.30000+ 1 2.10000+ 1 2.03094- 2 4.66480- 4 1.30000+ 1 2.20000+ 1 2.43219- 2 4.82420- 4 1.30000+ 1 2.40000+ 1 1.37215- 1 7.05670- 4 1.30000+ 1 2.50000+ 1 2.10265- 1 7.08940- 4 1.30000+ 1 2.70000+ 1 9.73774- 3 6.77860- 4 1.30000+ 1 2.90000+ 1 7.27157- 3 7.11320- 4 1.30000+ 1 3.00000+ 1 8.01362- 3 7.25340- 4 1.30000+ 1 3.20000+ 1 1.29220- 3 7.69010- 4 1.30000+ 1 3.30000+ 1 1.51894- 3 7.70210- 4 1.40000+ 1 1.60000+ 1 8.41403- 3 1.80080- 4 1.40000+ 1 1.80000+ 1 5.91032- 2 2.85050- 4 1.40000+ 1 1.90000+ 1 5.25052- 3 3.70850- 4 1.40000+ 1 2.10000+ 1 9.88488- 4 5.44880- 4 1.40000+ 1 2.20000+ 1 2.88172- 3 5.60820- 4 1.40000+ 1 2.40000+ 1 5.20868- 3 7.84070- 4 1.40000+ 1 2.50000+ 1 3.73528- 3 7.87340- 4 1.40000+ 1 2.70000+ 1 1.05869- 3 7.56260- 4 1.40000+ 1 2.90000+ 1 6.54588- 3 7.89720- 4 1.40000+ 1 3.00000+ 1 7.06210- 4 8.03740- 4 1.40000+ 1 3.20000+ 1 3.64237- 5 8.47410- 4 1.40000+ 1 3.30000+ 1 1.55032- 4 8.48610- 4 1.60000+ 1 1.60000+ 1 8.08919- 4 1.54956- 3 1.60000+ 1 1.80000+ 1 1.15836- 2 1.65453- 3 1.60000+ 1 1.90000+ 1 1.66340- 3 1.74033- 3 1.60000+ 1 2.10000+ 1 3.80564- 4 1.91436- 3 1.60000+ 1 2.20000+ 1 1.35113- 3 1.93030- 3 1.60000+ 1 2.40000+ 1 4.50013- 5 2.15355- 3 1.60000+ 1 2.50000+ 1 9.09462- 4 2.15682- 3 1.60000+ 1 2.70000+ 1 2.38332- 4 2.12574- 3 1.60000+ 1 2.90000+ 1 1.23725- 3 2.15920- 3 1.60000+ 1 3.00000+ 1 2.33330- 4 2.17322- 3 1.60000+ 1 3.20000+ 1 1.77781- 5 2.21689- 3 1.60000+ 1 3.30000+ 1 7.22246- 5 2.21809- 3 1.80000+ 1 1.80000+ 1 8.82520- 3 1.75950- 3 1.80000+ 1 1.90000+ 1 2.52081- 2 1.84530- 3 1.80000+ 1 2.10000+ 1 2.47174- 2 2.01933- 3 1.80000+ 1 2.20000+ 1 3.96660- 2 2.03527- 3 1.80000+ 1 2.40000+ 1 1.32970- 2 2.25852- 3 1.80000+ 1 2.50000+ 1 2.25164- 2 2.26179- 3 1.80000+ 1 2.70000+ 1 2.18406- 3 2.23071- 3 1.80000+ 1 2.90000+ 1 2.41559- 3 2.26417- 3 1.80000+ 1 3.00000+ 1 3.87450- 3 2.27819- 3 1.80000+ 1 3.20000+ 1 1.54836- 3 2.32186- 3 1.80000+ 1 3.30000+ 1 2.26776- 3 2.32306- 3 1.90000+ 1 1.90000+ 1 6.89997- 4 1.93110- 3 1.90000+ 1 2.10000+ 1 1.76109- 3 2.10513- 3 1.90000+ 1 2.20000+ 1 1.49330- 3 2.12107- 3 1.90000+ 1 2.40000+ 1 9.31280- 3 2.34432- 3 1.90000+ 1 2.50000+ 1 2.58105- 3 2.34759- 3 1.90000+ 1 2.70000+ 1 2.05555- 4 2.31651- 3 1.90000+ 1 2.90000+ 1 2.75503- 3 2.34997- 3 1.90000+ 1 3.00000+ 1 1.79997- 4 2.36399- 3 1.90000+ 1 3.20000+ 1 9.05544- 5 2.40766- 3 1.90000+ 1 3.30000+ 1 7.66653- 5 2.40886- 3 2.10000+ 1 2.10000+ 1 8.39442- 4 2.27916- 3 2.10000+ 1 2.20000+ 1 2.20892- 3 2.29510- 3 2.10000+ 1 2.40000+ 1 1.06055- 3 2.51835- 3 2.10000+ 1 2.50000+ 1 1.91559- 3 2.52162- 3 2.10000+ 1 2.70000+ 1 6.72209- 5 2.49054- 3 2.10000+ 1 2.90000+ 1 2.63218- 3 2.52400- 3 2.10000+ 1 3.00000+ 1 2.40001- 4 2.53802- 3 2.10000+ 1 3.20000+ 1 8.88886- 5 2.58169- 3 2.10000+ 1 3.30000+ 1 1.18334- 4 2.58289- 3 2.20000+ 1 2.20000+ 1 5.39998- 4 2.31104- 3 2.20000+ 1 2.40000+ 1 3.21345- 3 2.53429- 3 2.20000+ 1 2.50000+ 1 7.13885- 4 2.53756- 3 2.20000+ 1 2.70000+ 1 2.03886- 4 2.50648- 3 2.20000+ 1 2.90000+ 1 4.28443- 3 2.53994- 3 2.20000+ 1 3.00000+ 1 1.79998- 4 2.55396- 3 2.20000+ 1 3.20000+ 1 1.18890- 4 2.59763- 3 2.20000+ 1 3.30000+ 1 5.38870- 5 2.59883- 3 2.40000+ 1 2.40000+ 1 3.03175- 3 2.75754- 3 2.40000+ 1 2.50000+ 1 1.95477- 2 2.76081- 3 2.40000+ 1 2.70000+ 1 3.33344- 6 2.72973- 3 2.40000+ 1 2.90000+ 1 1.31114- 3 2.76319- 3 2.40000+ 1 3.00000+ 1 1.34559- 3 2.77721- 3 2.40000+ 1 3.20000+ 1 7.27770- 5 2.82088- 3 2.40000+ 1 3.30000+ 1 2.02782- 4 2.82208- 3 2.50000+ 1 2.50000+ 1 1.02389- 3 2.76408- 3 2.50000+ 1 2.70000+ 1 1.43890- 4 2.73300- 3 2.50000+ 1 2.90000+ 1 2.19441- 3 2.76646- 3 2.50000+ 1 3.00000+ 1 3.35565- 4 2.78048- 3 2.50000+ 1 3.20000+ 1 1.22224- 4 2.82415- 3 2.50000+ 1 3.30000+ 1 4.22236- 5 2.82535- 3 2.70000+ 1 2.70000+ 1 2.13956- 5 2.70192- 3 2.70000+ 1 2.90000+ 1 2.82160- 4 2.73538- 3 2.70000+ 1 3.00000+ 1 3.47696- 5 2.74940- 3 2.70000+ 1 3.20000+ 1 3.34288- 6 2.79307- 3 2.70000+ 1 3.30000+ 1 1.33724- 5 2.79427- 3 2.90000+ 1 2.90000+ 1 2.20135- 4 2.76884- 3 2.90000+ 1 3.00000+ 1 5.97935- 4 2.78286- 3 2.90000+ 1 3.20000+ 1 2.32627- 4 2.82653- 3 2.90000+ 1 3.30000+ 1 3.45805- 4 2.82773- 3 3.00000+ 1 3.00000+ 1 3.77544- 5 2.79688- 3 3.00000+ 1 3.20000+ 1 3.95530- 5 2.84055- 3 3.00000+ 1 3.30000+ 1 3.05628- 5 2.84175- 3 3.20000+ 1 3.20000+ 1 1.80595- 6 2.88422- 3 3.20000+ 1 3.30000+ 1 5.41807- 6 2.88542- 3 3.30000+ 1 3.30000+ 1 3.17301- 6 2.88662- 3 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.60470- 5 4.15800- 4 1.40000+ 1 2.55055- 4 4.94200- 4 1.60000+ 1 1.15355- 3 1.86368- 3 2.10000+ 1 5.62842- 4 2.22848- 3 2.20000+ 1 4.39409- 3 2.24442- 3 2.70000+ 1 2.24874- 4 2.43986- 3 3.20000+ 1 3.95855- 5 2.53101- 3 3.30000+ 1 3.01751- 4 2.53221- 3 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.10000+ 1 9.92736- 3 1.05280- 4 1.30000+ 1 2.20000+ 1 9.96280- 3 1.21220- 4 1.30000+ 1 2.40000+ 1 1.50985- 2 3.44470- 4 1.30000+ 1 2.50000+ 1 2.20004- 2 3.47740- 4 1.30000+ 1 2.70000+ 1 2.22468- 3 3.16660- 4 1.30000+ 1 2.90000+ 1 1.77541- 3 3.50120- 4 1.30000+ 1 3.00000+ 1 6.06750- 3 3.64140- 4 1.30000+ 1 3.20000+ 1 5.31144- 4 4.07810- 4 1.30000+ 1 3.30000+ 1 5.02478- 4 4.09010- 4 1.40000+ 1 1.90000+ 1 1.16542- 1 9.65000- 6 1.40000+ 1 2.10000+ 1 4.43642- 2 1.83680- 4 1.40000+ 1 2.20000+ 1 6.12321- 2 1.99620- 4 1.40000+ 1 2.40000+ 1 1.56983- 1 4.22870- 4 1.40000+ 1 2.50000+ 1 1.89150- 1 4.26140- 4 1.40000+ 1 2.70000+ 1 1.31592- 2 3.95060- 4 1.40000+ 1 2.90000+ 1 1.20288- 2 4.28520- 4 1.40000+ 1 3.00000+ 1 1.54708- 2 4.42540- 4 1.40000+ 1 3.20000+ 1 2.37641- 3 4.86210- 4 1.40000+ 1 3.30000+ 1 3.19695- 3 4.87410- 4 1.60000+ 1 1.60000+ 1 4.63684- 4 1.18836- 3 1.60000+ 1 1.80000+ 1 8.22848- 4 1.29333- 3 1.60000+ 1 1.90000+ 1 1.40811- 2 1.37913- 3 1.60000+ 1 2.10000+ 1 8.30586- 4 1.55316- 3 1.60000+ 1 2.20000+ 1 9.59996- 4 1.56910- 3 1.60000+ 1 2.40000+ 1 1.47236- 3 1.79235- 3 1.60000+ 1 2.50000+ 1 2.47555- 3 1.79562- 3 1.60000+ 1 2.70000+ 1 1.35955- 4 1.76454- 3 1.60000+ 1 2.90000+ 1 1.02112- 4 1.79800- 3 1.60000+ 1 3.00000+ 1 1.46404- 3 1.81202- 3 1.60000+ 1 3.20000+ 1 4.69003- 5 1.85569- 3 1.60000+ 1 3.30000+ 1 4.86825- 5 1.85689- 3 1.80000+ 1 1.80000+ 1 5.69910- 5 1.39830- 3 1.80000+ 1 1.90000+ 1 1.71260- 2 1.48410- 3 1.80000+ 1 2.10000+ 1 3.77576- 4 1.65813- 3 1.80000+ 1 2.20000+ 1 3.44686- 3 1.67407- 3 1.80000+ 1 2.40000+ 1 1.56489- 3 1.89732- 3 1.80000+ 1 2.50000+ 1 8.77800- 3 1.90059- 3 1.80000+ 1 2.70000+ 1 1.08642- 4 1.86951- 3 1.80000+ 1 2.90000+ 1 1.30607- 5 1.90297- 3 1.80000+ 1 3.00000+ 1 1.81187- 3 1.91699- 3 1.80000+ 1 3.20000+ 1 2.19658- 5 1.96066- 3 1.80000+ 1 3.30000+ 1 1.66819- 4 1.96186- 3 1.90000+ 1 1.90000+ 1 2.30492- 2 1.56990- 3 1.90000+ 1 2.10000+ 1 3.30211- 2 1.74393- 3 1.90000+ 1 2.20000+ 1 4.34036- 2 1.75987- 3 1.90000+ 1 2.40000+ 1 2.57598- 2 1.98312- 3 1.90000+ 1 2.50000+ 1 2.94802- 2 1.98639- 3 1.90000+ 1 2.70000+ 1 2.60569- 3 1.95531- 3 1.90000+ 1 2.90000+ 1 2.73194- 3 1.98877- 3 1.90000+ 1 3.00000+ 1 5.94948- 3 2.00279- 3 1.90000+ 1 3.20000+ 1 2.01383- 3 2.04646- 3 1.90000+ 1 3.30000+ 1 2.46341- 3 2.04766- 3 2.10000+ 1 2.10000+ 1 2.14324- 4 1.91796- 3 2.10000+ 1 2.20000+ 1 4.93826- 3 1.93390- 3 2.10000+ 1 2.40000+ 1 6.65514- 4 2.15715- 3 2.10000+ 1 2.50000+ 1 7.94423- 3 2.16042- 3 2.10000+ 1 2.70000+ 1 9.43979- 5 2.12934- 3 2.10000+ 1 2.90000+ 1 2.79036- 5 2.16280- 3 2.10000+ 1 3.00000+ 1 3.44150- 3 2.17682- 3 2.10000+ 1 3.20000+ 1 2.19667- 5 2.22049- 3 2.10000+ 1 3.30000+ 1 2.51726- 4 2.22169- 3 2.20000+ 1 2.20000+ 1 2.22518- 3 1.94984- 3 2.20000+ 1 2.40000+ 1 6.44994- 3 2.17309- 3 2.20000+ 1 2.50000+ 1 5.45606- 3 2.17636- 3 2.20000+ 1 2.70000+ 1 1.11018- 4 2.14528- 3 2.20000+ 1 2.90000+ 1 3.11682- 4 2.17874- 3 2.20000+ 1 3.00000+ 1 4.47318- 3 2.19276- 3 2.20000+ 1 3.20000+ 1 2.69545- 4 2.23643- 3 2.20000+ 1 3.30000+ 1 2.26185- 4 2.23763- 3 2.40000+ 1 2.40000+ 1 9.19613- 4 2.39634- 3 2.40000+ 1 2.50000+ 1 2.45497- 2 2.39961- 3 2.40000+ 1 2.70000+ 1 1.54952- 4 2.36853- 3 2.40000+ 1 2.90000+ 1 2.09572- 4 2.40199- 3 2.40000+ 1 3.00000+ 1 2.56300- 3 2.41601- 3 2.40000+ 1 3.20000+ 1 4.63064- 5 2.45968- 3 2.40000+ 1 3.30000+ 1 3.48509- 4 2.46088- 3 2.50000+ 1 2.50000+ 1 9.64545- 3 2.40288- 3 2.50000+ 1 2.70000+ 1 2.18491- 4 2.37180- 3 2.50000+ 1 2.90000+ 1 1.17195- 3 2.40526- 3 2.50000+ 1 3.00000+ 1 3.03259- 3 2.41928- 3 2.50000+ 1 3.20000+ 1 4.81493- 4 2.46295- 3 2.50000+ 1 3.30000+ 1 3.15860- 4 2.46415- 3 2.70000+ 1 2.70000+ 1 1.51650- 5 2.34072- 3 2.70000+ 1 2.90000+ 1 2.02202- 5 2.37418- 3 2.70000+ 1 3.00000+ 1 3.85032- 4 2.38820- 3 2.70000+ 1 3.20000+ 1 7.58270- 6 2.43187- 3 2.70000+ 1 3.30000+ 1 8.42509- 6 2.43307- 3 2.90000+ 1 2.90000+ 1 8.78270- 7 2.40764- 3 2.90000+ 1 3.00000+ 1 4.29477- 4 2.42166- 3 2.90000+ 1 3.20000+ 1 2.63481- 6 2.46533- 3 2.90000+ 1 3.30000+ 1 2.28351- 5 2.46653- 3 3.00000+ 1 3.00000+ 1 8.46452- 4 2.43568- 3 3.00000+ 1 3.20000+ 1 4.83134- 4 2.47935- 3 3.00000+ 1 3.30000+ 1 5.83794- 4 2.48055- 3 3.20000+ 1 3.20000+ 1 5.54075- 7 2.52302- 3 3.20000+ 1 3.30000+ 1 1.32978- 5 2.52422- 3 3.30000+ 1 3.30000+ 1 4.12716- 6 2.52542- 3 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.06890- 3 1.55285- 3 1.90000+ 1 2.12160- 4 1.63865- 3 2.40000+ 1 2.25270- 2 2.05187- 3 2.90000+ 1 5.04271- 4 2.05752- 3 3.00000+ 1 5.23141- 5 2.07154- 3 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 5.81662- 2 7.07000- 6 1.40000+ 1 2.50000+ 1 1.12037- 2 1.03400- 5 1.40000+ 1 2.90000+ 1 1.15626- 3 1.27200- 5 1.40000+ 1 3.00000+ 1 3.52955- 3 2.67400- 5 1.40000+ 1 3.20000+ 1 1.46305- 2 7.04100- 5 1.40000+ 1 3.30000+ 1 1.92291- 3 7.16100- 5 1.60000+ 1 1.60000+ 1 3.36762- 5 7.72560- 4 1.60000+ 1 1.80000+ 1 1.43383- 3 8.77530- 4 1.60000+ 1 1.90000+ 1 1.04137- 3 9.63330- 4 1.60000+ 1 2.10000+ 1 3.83546- 2 1.13736- 3 1.60000+ 1 2.20000+ 1 4.46472- 3 1.15330- 3 1.60000+ 1 2.40000+ 1 1.49804- 2 1.37655- 3 1.60000+ 1 2.50000+ 1 4.37664- 3 1.37982- 3 1.60000+ 1 2.70000+ 1 2.07242- 5 1.34874- 3 1.60000+ 1 2.90000+ 1 1.83930- 4 1.38220- 3 1.60000+ 1 3.00000+ 1 1.08812- 4 1.39622- 3 1.60000+ 1 3.20000+ 1 1.75252- 3 1.43989- 3 1.60000+ 1 3.30000+ 1 1.96882- 4 1.44109- 3 1.80000+ 1 1.80000+ 1 8.47127- 4 9.82500- 4 1.80000+ 1 1.90000+ 1 5.35333- 3 1.06830- 3 1.80000+ 1 2.10000+ 1 3.40260- 2 1.24233- 3 1.80000+ 1 2.20000+ 1 2.55050- 3 1.25827- 3 1.80000+ 1 2.40000+ 1 9.52420- 3 1.48152- 3 1.80000+ 1 2.50000+ 1 4.74337- 3 1.48479- 3 1.80000+ 1 2.70000+ 1 1.80050- 4 1.45371- 3 1.80000+ 1 2.90000+ 1 2.17604- 4 1.48717- 3 1.80000+ 1 3.00000+ 1 6.20443- 4 1.50119- 3 1.80000+ 1 3.20000+ 1 1.54525- 3 1.54486- 3 1.80000+ 1 3.30000+ 1 1.28231- 4 1.54606- 3 1.90000+ 1 1.90000+ 1 1.90525- 3 1.15410- 3 1.90000+ 1 2.10000+ 1 6.95595- 2 1.32813- 3 1.90000+ 1 2.20000+ 1 2.62553- 3 1.34407- 3 1.90000+ 1 2.40000+ 1 3.89229- 3 1.56732- 3 1.90000+ 1 2.50000+ 1 2.31333- 3 1.57059- 3 1.90000+ 1 2.70000+ 1 1.48947- 4 1.53951- 3 1.90000+ 1 2.90000+ 1 5.69926- 4 1.57297- 3 1.90000+ 1 3.00000+ 1 4.23550- 4 1.58699- 3 1.90000+ 1 3.20000+ 1 3.18775- 3 1.63066- 3 1.90000+ 1 3.30000+ 1 1.19159- 4 1.63186- 3 2.10000+ 1 2.10000+ 1 6.11888- 2 1.50216- 3 2.10000+ 1 2.20000+ 1 1.22190- 1 1.51810- 3 2.10000+ 1 2.40000+ 1 5.91126- 2 1.74135- 3 2.10000+ 1 2.50000+ 1 7.24510- 2 1.74462- 3 2.10000+ 1 2.70000+ 1 6.57102- 3 1.71354- 3 2.10000+ 1 2.90000+ 1 5.45946- 3 1.74700- 3 2.10000+ 1 3.00000+ 1 1.04026- 2 1.76102- 3 2.10000+ 1 3.20000+ 1 6.57482- 3 1.80469- 3 2.10000+ 1 3.30000+ 1 6.85090- 3 1.80589- 3 2.20000+ 1 2.20000+ 1 1.97142- 3 1.53404- 3 2.20000+ 1 2.40000+ 1 6.48333- 2 1.75729- 3 2.20000+ 1 2.50000+ 1 3.38063- 3 1.76056- 3 2.20000+ 1 2.70000+ 1 4.27444- 4 1.72948- 3 2.20000+ 1 2.90000+ 1 2.65524- 4 1.76294- 3 2.20000+ 1 3.00000+ 1 3.21228- 4 1.77696- 3 2.20000+ 1 3.20000+ 1 5.63310- 3 1.82063- 3 2.20000+ 1 3.30000+ 1 1.86523- 4 1.82183- 3 2.40000+ 1 2.40000+ 1 5.71444- 2 1.98054- 3 2.40000+ 1 2.50000+ 1 1.65836- 1 1.98381- 3 2.40000+ 1 2.70000+ 1 2.67476- 3 1.95273- 3 2.40000+ 1 2.90000+ 1 1.27447- 3 1.98619- 3 2.40000+ 1 3.00000+ 1 5.89343- 4 2.00021- 3 2.40000+ 1 3.20000+ 1 2.88717- 3 2.04388- 3 2.40000+ 1 3.30000+ 1 3.49462- 3 2.04508- 3 2.50000+ 1 2.50000+ 1 3.34138- 3 1.98708- 3 2.50000+ 1 2.70000+ 1 5.38553- 4 1.95600- 3 2.50000+ 1 2.90000+ 1 3.39209- 4 1.98946- 3 2.50000+ 1 3.00000+ 1 3.02071- 4 2.00348- 3 2.50000+ 1 3.20000+ 1 2.97375- 3 2.04715- 3 2.50000+ 1 3.30000+ 1 1.64653- 4 2.04835- 3 2.70000+ 1 2.70000+ 1 4.10531- 6 1.92492- 3 2.70000+ 1 2.90000+ 1 3.90005- 5 1.95838- 3 2.70000+ 1 3.00000+ 1 2.66853- 5 1.97240- 3 2.70000+ 1 3.20000+ 1 4.80327- 4 2.01607- 3 2.70000+ 1 3.30000+ 1 3.28429- 5 2.01727- 3 2.90000+ 1 2.90000+ 1 3.38154- 5 1.99184- 3 2.90000+ 1 3.00000+ 1 1.66003- 4 2.00586- 3 2.90000+ 1 3.20000+ 1 5.90218- 4 2.04953- 3 2.90000+ 1 3.30000+ 1 3.38154- 5 2.05073- 3 3.00000+ 1 3.00000+ 1 6.58365- 5 2.01988- 3 3.00000+ 1 3.20000+ 1 1.28208- 3 2.06355- 3 3.00000+ 1 3.30000+ 1 4.15821- 5 2.06475- 3 3.20000+ 1 3.20000+ 1 1.42472- 4 2.10722- 3 3.20000+ 1 3.30000+ 1 2.72689- 4 2.10842- 3 3.30000+ 1 3.30000+ 1 5.11701- 6 2.10962- 3 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.71470- 3 1.56025- 3 2.40000+ 1 1.17350- 3 1.97347- 3 2.50000+ 1 2.28901- 2 1.97674- 3 3.00000+ 1 4.55831- 4 1.99314- 3 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 2.72808- 6 6.94160- 4 1.60000+ 1 1.80000+ 1 3.15098- 4 7.99130- 4 1.60000+ 1 1.90000+ 1 2.50438- 3 8.84930- 4 1.60000+ 1 2.10000+ 1 3.93391- 3 1.05896- 3 1.60000+ 1 2.20000+ 1 4.34744- 2 1.07490- 3 1.60000+ 1 2.40000+ 1 4.64863- 3 1.29815- 3 1.60000+ 1 2.50000+ 1 1.66786- 2 1.30142- 3 1.60000+ 1 2.70000+ 1 1.22774- 5 1.27034- 3 1.60000+ 1 2.90000+ 1 1.77324- 5 1.30380- 3 1.60000+ 1 3.00000+ 1 2.72808- 4 1.31782- 3 1.60000+ 1 3.20000+ 1 1.77324- 4 1.36149- 3 1.60000+ 1 3.30000+ 1 1.84425- 3 1.36269- 3 1.80000+ 1 1.80000+ 1 2.72806- 6 9.04100- 4 1.80000+ 1 1.90000+ 1 6.51464- 3 9.89900- 4 1.80000+ 1 2.10000+ 1 3.36917- 4 1.16393- 3 1.80000+ 1 2.20000+ 1 4.45975- 2 1.17987- 3 1.80000+ 1 2.40000+ 1 2.25746- 3 1.40312- 3 1.80000+ 1 2.50000+ 1 8.62370- 3 1.40639- 3 1.80000+ 1 2.70000+ 1 3.81934- 5 1.37531- 3 1.80000+ 1 2.90000+ 1 2.72806- 6 1.40877- 3 1.80000+ 1 3.00000+ 1 7.05216- 4 1.42279- 3 1.80000+ 1 3.20000+ 1 6.82000- 6 1.46646- 3 1.80000+ 1 3.30000+ 1 1.89324- 3 1.46766- 3 1.90000+ 1 1.90000+ 1 4.63092- 3 1.07570- 3 1.90000+ 1 2.10000+ 1 4.16171- 3 1.24973- 3 1.90000+ 1 2.20000+ 1 6.83562- 2 1.26567- 3 1.90000+ 1 2.40000+ 1 2.66395- 3 1.48892- 3 1.90000+ 1 2.50000+ 1 5.48915- 3 1.49219- 3 1.90000+ 1 2.70000+ 1 3.68293- 4 1.46111- 3 1.90000+ 1 2.90000+ 1 6.73841- 4 1.49457- 3 1.90000+ 1 3.00000+ 1 1.03402- 3 1.50859- 3 1.90000+ 1 3.20000+ 1 2.22342- 4 1.55226- 3 1.90000+ 1 3.30000+ 1 2.89183- 3 1.55346- 3 2.10000+ 1 2.10000+ 1 8.98909- 4 1.42376- 3 2.10000+ 1 2.20000+ 1 9.26776- 2 1.43970- 3 2.10000+ 1 2.40000+ 1 3.05950- 3 1.66295- 3 2.10000+ 1 2.50000+ 1 4.16812- 2 1.66622- 3 2.10000+ 1 2.70000+ 1 3.60112- 4 1.63514- 3 2.10000+ 1 2.90000+ 1 5.86554- 5 1.66860- 3 2.10000+ 1 3.00000+ 1 4.63772- 4 1.68262- 3 2.10000+ 1 3.20000+ 1 9.00253- 5 1.72629- 3 2.10000+ 1 3.30000+ 1 3.97071- 3 1.72749- 3 2.20000+ 1 2.20000+ 1 1.04136- 1 1.45564- 3 2.20000+ 1 2.40000+ 1 6.76470- 2 1.67889- 3 2.20000+ 1 2.50000+ 1 1.06218- 1 1.68216- 3 2.20000+ 1 2.70000+ 1 7.18021- 3 1.65108- 3 2.20000+ 1 2.90000+ 1 6.87296- 3 1.68454- 3 2.20000+ 1 3.00000+ 1 1.03070- 2 1.69856- 3 2.20000+ 1 3.20000+ 1 5.58569- 3 1.74223- 3 2.20000+ 1 3.30000+ 1 1.03040- 2 1.74343- 3 2.40000+ 1 2.40000+ 1 4.79867- 3 1.90214- 3 2.40000+ 1 2.50000+ 1 1.53532- 1 1.90541- 3 2.40000+ 1 2.70000+ 1 6.41108- 4 1.87433- 3 2.40000+ 1 2.90000+ 1 3.23278- 4 1.90779- 3 2.40000+ 1 3.00000+ 1 3.27371- 4 1.92181- 3 2.40000+ 1 3.20000+ 1 1.80055- 4 1.96548- 3 2.40000+ 1 3.30000+ 1 2.75819- 3 1.96668- 3 2.50000+ 1 2.50000+ 1 1.04937- 1 1.90868- 3 2.50000+ 1 2.70000+ 1 2.89584- 3 1.87760- 3 2.50000+ 1 2.90000+ 1 1.33821- 3 1.91106- 3 2.50000+ 1 3.00000+ 1 7.82978- 4 1.92508- 3 2.50000+ 1 3.20000+ 1 2.38300- 3 1.96875- 3 2.50000+ 1 3.30000+ 1 4.91342- 3 1.96995- 3 2.70000+ 1 2.70000+ 1 2.69853- 6 1.84652- 3 2.70000+ 1 2.90000+ 1 5.39728- 6 1.87998- 3 2.70000+ 1 3.00000+ 1 8.36577- 5 1.89400- 3 2.70000+ 1 3.20000+ 1 3.50820- 5 1.93767- 3 2.70000+ 1 3.30000+ 1 6.07197- 4 1.93887- 3 2.90000+ 1 3.00000+ 1 1.45133- 4 1.92746- 3 2.90000+ 1 3.20000+ 1 2.54610- 6 1.97113- 3 2.90000+ 1 3.30000+ 1 5.49993- 4 1.97233- 3 3.00000+ 1 3.00000+ 1 1.36302- 4 1.94148- 3 3.00000+ 1 3.20000+ 1 6.02228- 5 1.98515- 3 3.00000+ 1 3.30000+ 1 1.01748- 3 1.98635- 3 3.20000+ 1 3.20000+ 1 2.25114- 6 2.02882- 3 3.20000+ 1 3.30000+ 1 1.98099- 4 2.03002- 3 3.30000+ 1 3.30000+ 1 2.44161- 4 2.03122- 3 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.88917- 5 1.04970- 4 1.90000+ 1 2.40505- 4 1.90770- 4 2.90000+ 1 1.39788- 4 6.09640- 4 3.00000+ 1 6.69734- 5 6.23660- 4 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 9.88323- 3 3.36400- 5 1.80000+ 1 2.50000+ 1 4.35391- 3 3.69100- 5 1.80000+ 1 2.70000+ 1 3.15607- 2 5.83000- 6 1.80000+ 1 2.90000+ 1 2.93622- 2 3.92900- 5 1.80000+ 1 3.00000+ 1 5.08345- 2 5.33100- 5 1.80000+ 1 3.20000+ 1 2.02344- 2 9.69800- 5 1.80000+ 1 3.30000+ 1 3.26152- 2 9.81800- 5 1.90000+ 1 2.40000+ 1 1.00931- 1 1.19440- 4 1.90000+ 1 2.50000+ 1 1.29586- 1 1.22710- 4 1.90000+ 1 2.70000+ 1 4.10246- 2 9.16300- 5 1.90000+ 1 2.90000+ 1 4.59400- 2 1.25090- 4 1.90000+ 1 3.00000+ 1 5.05132- 2 1.39110- 4 1.90000+ 1 3.20000+ 1 2.65685- 2 1.82780- 4 1.90000+ 1 3.30000+ 1 3.05662- 2 1.83980- 4 2.10000+ 1 2.10000+ 1 4.05089- 3 5.42800- 5 2.10000+ 1 2.20000+ 1 7.54087- 3 7.02200- 5 2.10000+ 1 2.40000+ 1 4.75688- 3 2.93470- 4 2.10000+ 1 2.50000+ 1 9.61783- 3 2.96740- 4 2.10000+ 1 2.70000+ 1 1.61272- 2 2.65660- 4 2.10000+ 1 2.90000+ 1 4.29978- 3 2.99120- 4 2.10000+ 1 3.00000+ 1 7.93091- 3 3.13140- 4 2.10000+ 1 3.20000+ 1 9.61226- 4 3.56810- 4 2.10000+ 1 3.30000+ 1 8.44730- 4 3.58010- 4 2.20000+ 1 2.20000+ 1 6.78949- 3 8.61600- 5 2.20000+ 1 2.40000+ 1 1.08376- 2 3.09410- 4 2.20000+ 1 2.50000+ 1 1.01861- 2 3.12680- 4 2.20000+ 1 2.70000+ 1 2.25461- 2 2.81600- 4 2.20000+ 1 2.90000+ 1 8.85316- 3 3.15060- 4 2.20000+ 1 3.00000+ 1 7.90633- 3 3.29080- 4 2.20000+ 1 3.20000+ 1 7.78037- 4 3.72750- 4 2.20000+ 1 3.30000+ 1 1.30778- 3 3.73950- 4 2.40000+ 1 2.40000+ 1 7.90488- 3 5.32660- 4 2.40000+ 1 2.50000+ 1 1.65981- 2 5.35930- 4 2.40000+ 1 2.70000+ 1 1.79562- 2 5.04850- 4 2.40000+ 1 2.90000+ 1 2.30122- 3 5.38310- 4 2.40000+ 1 3.00000+ 1 7.00459- 3 5.52330- 4 2.40000+ 1 3.20000+ 1 4.02178- 4 5.96000- 4 2.40000+ 1 3.30000+ 1 2.63979- 4 5.97200- 4 2.50000+ 1 2.50000+ 1 1.33102- 2 5.39200- 4 2.50000+ 1 2.70000+ 1 2.35920- 2 5.08120- 4 2.50000+ 1 2.90000+ 1 1.30980- 3 5.41580- 4 2.50000+ 1 3.00000+ 1 8.42889- 3 5.55600- 4 2.50000+ 1 3.20000+ 1 2.52610- 4 5.99270- 4 2.50000+ 1 3.30000+ 1 5.75559- 4 6.00470- 4 2.70000+ 1 2.70000+ 1 1.85765- 2 4.77040- 4 2.70000+ 1 2.90000+ 1 2.47407- 2 5.10500- 4 2.70000+ 1 3.00000+ 1 3.98796- 2 5.24520- 4 2.70000+ 1 3.20000+ 1 1.82140- 2 5.68190- 4 2.70000+ 1 3.30000+ 1 2.38721- 2 5.69390- 4 2.90000+ 1 2.90000+ 1 3.11928- 3 5.43960- 4 2.90000+ 1 3.00000+ 1 1.28158- 2 5.57980- 4 2.90000+ 1 3.20000+ 1 2.67078- 3 6.01650- 4 2.90000+ 1 3.30000+ 1 2.39666- 3 6.02850- 4 3.00000+ 1 3.00000+ 1 1.00399- 2 5.72000- 4 3.00000+ 1 3.20000+ 1 3.32691- 3 6.15670- 4 3.00000+ 1 3.30000+ 1 5.27563- 3 6.16870- 4 3.20000+ 1 3.20000+ 1 6.56534- 4 6.59340- 4 3.20000+ 1 3.30000+ 1 2.03923- 3 6.60540- 4 3.30000+ 1 3.30000+ 1 2.70116- 3 6.61740- 4 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 7.97424- 4 2.59830- 4 2.70000+ 1 1.69566- 4 4.71210- 4 3.20000+ 1 1.27289- 5 5.62360- 4 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 2.27619- 2 1.44700- 5 1.90000+ 1 2.50000+ 1 2.25779- 2 1.77400- 5 1.90000+ 1 2.90000+ 1 1.21894- 2 2.01200- 5 1.90000+ 1 3.00000+ 1 1.37405- 2 3.41400- 5 1.90000+ 1 3.20000+ 1 3.70702- 3 7.78100- 5 1.90000+ 1 3.30000+ 1 5.45760- 3 7.90100- 5 2.10000+ 1 2.40000+ 1 1.49021- 1 1.88500- 4 2.10000+ 1 2.50000+ 1 3.23815- 1 1.91770- 4 2.10000+ 1 2.70000+ 1 3.63551- 2 1.60690- 4 2.10000+ 1 2.90000+ 1 2.73653- 2 1.94150- 4 2.10000+ 1 3.00000+ 1 4.15449- 2 2.08170- 4 2.10000+ 1 3.20000+ 1 1.24197- 2 2.51840- 4 2.10000+ 1 3.30000+ 1 2.05561- 2 2.53040- 4 2.20000+ 1 2.40000+ 1 4.45693- 2 2.04440- 4 2.20000+ 1 2.50000+ 1 1.14148- 2 2.07710- 4 2.20000+ 1 2.70000+ 1 6.09490- 3 1.76630- 4 2.20000+ 1 2.90000+ 1 2.48902- 2 2.10090- 4 2.20000+ 1 3.00000+ 1 5.22158- 3 2.24110- 4 2.20000+ 1 3.20000+ 1 1.79392- 3 2.67780- 4 2.20000+ 1 3.30000+ 1 1.26913- 3 2.68980- 4 2.40000+ 1 2.40000+ 1 2.99408- 3 4.27690- 4 2.40000+ 1 2.50000+ 1 2.02225- 2 4.30960- 4 2.40000+ 1 2.70000+ 1 4.21400- 3 3.99880- 4 2.40000+ 1 2.90000+ 1 1.79521- 2 4.33340- 4 2.40000+ 1 3.00000+ 1 3.86926- 3 4.47360- 4 2.40000+ 1 3.20000+ 1 2.57564- 3 4.91030- 4 2.40000+ 1 3.30000+ 1 1.05928- 3 4.92230- 4 2.50000+ 1 2.50000+ 1 1.05605- 3 4.34230- 4 2.50000+ 1 2.70000+ 1 3.07308- 3 4.03150- 4 2.50000+ 1 2.90000+ 1 3.69012- 2 4.36610- 4 2.50000+ 1 3.00000+ 1 2.28531- 3 4.50630- 4 2.50000+ 1 3.20000+ 1 6.55922- 3 4.94300- 4 2.50000+ 1 3.30000+ 1 4.80987- 4 4.95500- 4 2.70000+ 1 2.70000+ 1 7.09475- 4 3.72070- 4 2.70000+ 1 2.90000+ 1 1.00187- 2 4.05530- 4 2.70000+ 1 3.00000+ 1 1.77776- 3 4.19550- 4 2.70000+ 1 3.20000+ 1 1.36022- 3 4.63220- 4 2.70000+ 1 3.30000+ 1 8.55475- 4 4.64420- 4 2.90000+ 1 2.90000+ 1 1.40472- 2 4.38990- 4 2.90000+ 1 3.00000+ 1 3.75060- 2 4.53010- 4 2.90000+ 1 3.20000+ 1 1.40550- 2 4.96680- 4 2.90000+ 1 3.30000+ 1 2.23838- 2 4.97880- 4 3.00000+ 1 3.00000+ 1 1.44845- 3 4.67030- 4 3.00000+ 1 3.20000+ 1 3.53761- 3 5.10700- 4 3.00000+ 1 3.30000+ 1 1.17840- 3 5.11900- 4 3.20000+ 1 3.20000+ 1 3.87465- 5 5.54370- 4 3.20000+ 1 3.30000+ 1 7.71509- 5 5.55570- 4 3.30000+ 1 3.30000+ 1 1.88026- 5 5.56770- 4 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.69324- 5 1.74030- 4 2.20000+ 1 1.97363- 4 1.89970- 4 2.70000+ 1 1.35895- 4 3.85410- 4 3.20000+ 1 3.74345- 6 4.76560- 4 3.30000+ 1 2.09857- 5 4.77760- 4 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.21853- 2 1.02700- 4 2.10000+ 1 2.50000+ 1 3.20602- 2 1.05970- 4 2.10000+ 1 2.70000+ 1 1.45298- 2 7.48900- 5 2.10000+ 1 2.90000+ 1 1.14293- 2 1.08350- 4 2.10000+ 1 3.00000+ 1 3.79768- 2 1.22370- 4 2.10000+ 1 3.20000+ 1 5.55091- 3 1.66040- 4 2.10000+ 1 3.30000+ 1 9.96734- 3 1.67240- 4 2.20000+ 1 2.40000+ 1 1.65717- 1 1.18640- 4 2.20000+ 1 2.50000+ 1 1.86603- 1 1.21910- 4 2.20000+ 1 2.70000+ 1 7.25851- 2 9.08300- 5 2.20000+ 1 2.90000+ 1 7.60121- 2 1.24290- 4 2.20000+ 1 3.00000+ 1 9.82383- 2 1.38310- 4 2.20000+ 1 3.20000+ 1 4.40010- 2 1.81980- 4 2.20000+ 1 3.30000+ 1 4.80515- 2 1.83180- 4 2.40000+ 1 2.40000+ 1 7.71213- 4 3.41890- 4 2.40000+ 1 2.50000+ 1 1.88616- 2 3.45160- 4 2.40000+ 1 2.70000+ 1 5.79405- 3 3.14080- 4 2.40000+ 1 2.90000+ 1 2.81927- 3 3.47540- 4 2.40000+ 1 3.00000+ 1 3.79614- 2 3.61560- 4 2.40000+ 1 3.20000+ 1 6.15098- 4 4.05230- 4 2.40000+ 1 3.30000+ 1 3.16317- 3 4.06430- 4 2.50000+ 1 2.50000+ 1 8.18604- 3 3.48430- 4 2.50000+ 1 2.70000+ 1 1.25159- 2 3.17350- 4 2.50000+ 1 2.90000+ 1 1.04652- 2 3.50810- 4 2.50000+ 1 3.00000+ 1 4.64390- 2 3.64830- 4 2.50000+ 1 3.20000+ 1 6.28585- 4 4.08500- 4 2.50000+ 1 3.30000+ 1 3.98408- 3 4.09700- 4 2.70000+ 1 2.70000+ 1 3.30777- 6 2.86270- 4 2.70000+ 1 2.90000+ 1 2.73455- 4 3.19730- 4 2.70000+ 1 3.00000+ 1 5.53543- 3 3.33750- 4 2.70000+ 1 3.20000+ 1 2.93853- 4 3.77420- 4 2.70000+ 1 3.30000+ 1 5.36442- 4 3.78620- 4 2.90000+ 1 2.90000+ 1 1.68965- 5 3.53190- 4 2.90000+ 1 3.00000+ 1 4.81663- 3 3.67210- 4 2.90000+ 1 3.20000+ 1 1.32826- 4 4.10880- 4 2.90000+ 1 3.30000+ 1 4.46831- 4 4.12080- 4 3.00000+ 1 3.00000+ 1 8.89620- 3 3.81230- 4 3.00000+ 1 3.20000+ 1 4.99908- 3 4.24900- 4 3.00000+ 1 3.30000+ 1 6.29868- 3 4.26100- 4 3.20000+ 1 3.20000+ 1 1.93244- 5 4.68570- 4 3.20000+ 1 3.30000+ 1 1.24295- 4 4.69770- 4 3.30000+ 1 3.30000+ 1 1.19100- 4 4.70970- 4 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.46468- 4 2.39190- 4 2.90000+ 1 3.42276- 5 2.44840- 4 3.00000+ 1 4.78723- 6 2.58860- 4 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.20000+ 1 3.09802- 2 7.95000- 6 2.20000+ 1 3.30000+ 1 4.77571- 3 9.15000- 6 2.40000+ 1 2.40000+ 1 1.44166- 1 1.67860- 4 2.40000+ 1 2.50000+ 1 4.54913- 1 1.71130- 4 2.40000+ 1 2.70000+ 1 6.22817- 2 1.40050- 4 2.40000+ 1 2.90000+ 1 5.11347- 2 1.73510- 4 2.40000+ 1 3.00000+ 1 7.30908- 2 1.87530- 4 2.40000+ 1 3.20000+ 1 4.18403- 2 2.31200- 4 2.40000+ 1 3.30000+ 1 3.95623- 2 2.32400- 4 2.50000+ 1 2.50000+ 1 5.36167- 3 1.74400- 4 2.50000+ 1 2.70000+ 1 5.77813- 3 1.43320- 4 2.50000+ 1 2.90000+ 1 1.22013- 2 1.76780- 4 2.50000+ 1 3.00000+ 1 4.78654- 3 1.90800- 4 2.50000+ 1 3.20000+ 1 4.53645- 2 2.34470- 4 2.50000+ 1 3.30000+ 1 1.65082- 3 2.35670- 4 2.70000+ 1 2.70000+ 1 8.95254- 4 1.12240- 4 2.70000+ 1 2.90000+ 1 1.51941- 3 1.45700- 4 2.70000+ 1 3.00000+ 1 1.53514- 3 1.59720- 4 2.70000+ 1 3.20000+ 1 3.94921- 3 2.03390- 4 2.70000+ 1 3.30000+ 1 1.26287- 3 2.04590- 4 2.90000+ 1 2.90000+ 1 3.69237- 4 1.79160- 4 2.90000+ 1 3.00000+ 1 1.65481- 3 1.93180- 4 2.90000+ 1 3.20000+ 1 2.31521- 3 2.36850- 4 2.90000+ 1 3.30000+ 1 4.75137- 4 2.38050- 4 3.00000+ 1 3.00000+ 1 5.80383- 4 2.07200- 4 3.00000+ 1 3.20000+ 1 3.87592- 3 2.50870- 4 3.00000+ 1 3.30000+ 1 3.34887- 4 2.52070- 4 3.20000+ 1 3.20000+ 1 1.05410- 3 2.94540- 4 3.20000+ 1 3.30000+ 1 2.04170- 3 2.95740- 4 3.30000+ 1 3.30000+ 1 6.34859- 5 2.96940- 4 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 6.62731- 6 2.23250- 4 2.50000+ 1 1.40240- 4 2.26520- 4 3.00000+ 1 3.18190- 5 2.42920- 4 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 8.94852- 3 1.51920- 4 2.40000+ 1 2.50000+ 1 3.25166- 1 1.55190- 4 2.40000+ 1 2.70000+ 1 8.45846- 3 1.24110- 4 2.40000+ 1 2.90000+ 1 5.12847- 3 1.57570- 4 2.40000+ 1 3.00000+ 1 1.24670- 2 1.71590- 4 2.40000+ 1 3.20000+ 1 2.37368- 3 2.15260- 4 2.40000+ 1 3.30000+ 1 4.03982- 2 2.16460- 4 2.50000+ 1 2.50000+ 1 2.47829- 1 1.58460- 4 2.50000+ 1 2.70000+ 1 6.79356- 2 1.27380- 4 2.50000+ 1 2.90000+ 1 6.97021- 2 1.60840- 4 2.50000+ 1 3.00000+ 1 7.44197- 2 1.74860- 4 2.50000+ 1 3.20000+ 1 3.78200- 2 2.18530- 4 2.50000+ 1 3.30000+ 1 7.00442- 2 2.19730- 4 2.70000+ 1 2.70000+ 1 1.56673- 3 9.63000- 5 2.70000+ 1 2.90000+ 1 1.47670- 3 1.29760- 4 2.70000+ 1 3.00000+ 1 3.26699- 3 1.43780- 4 2.70000+ 1 3.20000+ 1 1.61385- 3 1.87450- 4 2.70000+ 1 3.30000+ 1 5.50075- 3 1.88650- 4 2.90000+ 1 2.90000+ 1 1.90410- 4 1.63220- 4 2.90000+ 1 3.00000+ 1 2.34044- 3 1.77240- 4 2.90000+ 1 3.20000+ 1 1.86649- 4 2.20910- 4 2.90000+ 1 3.30000+ 1 3.20021- 3 2.22110- 4 3.00000+ 1 3.00000+ 1 8.89122- 4 1.91260- 4 3.00000+ 1 3.20000+ 1 5.80294- 4 2.34930- 4 3.00000+ 1 3.30000+ 1 4.41859- 3 2.36130- 4 3.20000+ 1 3.20000+ 1 2.52987- 5 2.78600- 4 3.20000+ 1 3.30000+ 1 1.75420- 3 2.79800- 4 3.30000+ 1 3.30000+ 1 2.11990- 3 2.81000- 4 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 6.80282- 7 3.34600- 5 3.00000+ 1 3.97419- 6 4.74800- 5 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 1.24992- 1 2.54700- 5 2.90000+ 1 3.30000+ 1 1.90397- 1 2.66700- 5 3.00000+ 1 3.20000+ 1 3.74182- 1 3.94900- 5 3.00000+ 1 3.30000+ 1 2.45106- 1 4.06900- 5 3.20000+ 1 3.20000+ 1 1.61404- 3 8.31600- 5 3.20000+ 1 3.30000+ 1 5.69437- 2 8.43600- 5 3.30000+ 1 3.30000+ 1 6.76147- 3 8.55600- 5 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 8.15647- 7 5.76900- 5 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.20000+ 1 4.15585- 1 6.03000- 6 3.00000+ 1 3.30000+ 1 6.13653- 2 7.23000- 6 3.20000+ 1 3.20000+ 1 9.58043- 2 4.97000- 5 3.20000+ 1 3.30000+ 1 4.16546- 1 5.09000- 5 3.30000+ 1 3.30000+ 1 1.06990- 2 5.21000- 5 1 77000 0 7 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.79090- 8 4.36700- 5 3.30000+ 1 1.74360- 7 4.48700- 5 1 77000 0 9 1.92220+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 3.27470- 2 3.56800- 5 3.20000+ 1 3.30000+ 1 6.73353- 1 3.68800- 5 3.30000+ 1 3.30000+ 1 2.93900- 1 3.80800- 5 1 78000 0 0 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 3.60000+ 0 3.30000+ 1 5.40000+ 0 4.10000+ 1 1.00000+ 0 1 78000 0 0 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.86150- 2 3.00000+ 0 1.38620- 2 5.00000+ 0 1.33130- 2 6.00000+ 0 1.15670- 2 8.00000+ 0 3.27320- 3 1.00000+ 1 3.02200- 3 1.10000+ 1 2.63690- 3 1.30000+ 1 2.21240- 3 1.40000+ 1 2.12900- 3 1.60000+ 1 7.12210- 4 1.80000+ 1 6.04190- 4 1.90000+ 1 5.12040- 4 2.10000+ 1 3.33100- 4 2.20000+ 1 3.15960- 4 2.40000+ 1 8.54900- 5 2.50000+ 1 8.18700- 5 2.70000+ 1 1.08440- 4 2.90000+ 1 7.33400- 5 3.00000+ 1 5.77400- 5 3.20000+ 1 1.10200- 5 3.30000+ 1 9.54000- 6 4.10000+ 1 8.07000- 6 1 78000 0 0 1.95090+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.08690- 1 3.00000+ 0 2.58840- 2 5.00000+ 0 2.58710- 2 6.00000+ 0 1.91420- 2 8.00000+ 0 8.23460- 3 1.00000+ 1 8.12410- 3 1.10000+ 1 6.46560- 3 1.30000+ 1 6.32200- 3 1.40000+ 1 5.96540- 3 1.60000+ 1 2.68440- 3 1.80000+ 1 2.56020- 3 1.90000+ 1 2.06300- 3 2.10000+ 1 1.84600- 3 2.20000+ 1 1.74290- 3 2.40000+ 1 1.35780- 3 2.50000+ 1 1.32330- 3 2.70000+ 1 6.54640- 4 2.90000+ 1 5.55100- 4 3.00000+ 1 4.34370- 4 3.20000+ 1 2.31050- 4 3.30000+ 1 2.09610- 4 4.10000+ 1 6.67900- 5 1 78000 0 0 1.95090+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.06320-11 3.00000+ 0 3.78400-10 5.00000+ 0 3.11360-10 6.00000+ 0 3.55880-10 8.00000+ 0 9.83160-10 1.00000+ 1 9.30640-10 1.10000+ 1 1.01210- 9 1.30000+ 1 8.81210-10 1.40000+ 1 9.05930-10 1.60000+ 1 2.18300- 9 1.80000+ 1 2.19490- 9 1.90000+ 1 2.37180- 9 2.10000+ 1 2.41580- 9 2.20000+ 1 2.47370- 9 2.40000+ 1 2.64440- 9 2.50000+ 1 2.68030- 9 2.70000+ 1 4.98150- 9 2.90000+ 1 5.38310- 9 3.00000+ 1 5.90050- 9 3.20000+ 1 8.22130- 9 3.30000+ 1 8.61520- 9 4.10000+ 1 1.54540- 8 1 78000 0 0 1.95090+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.65220- 5 3.00000+ 0 1.04780- 6 5.00000+ 0 1.83580- 6 6.00000+ 0 1.61180- 6 8.00000+ 0 3.82800- 8 1.00000+ 1 4.20050- 8 1.10000+ 1 4.47120- 8 1.30000+ 1 5.52960- 8 1.40000+ 1 5.18500- 8 1.60000+ 1 1.28410- 9 1.80000+ 1 2.08530- 9 1.90000+ 1 1.27790- 9 2.10000+ 1 1.46250- 9 2.20000+ 1 1.25360- 9 2.40000+ 1 6.70570-12 2.50000+ 1 5.96480-12 2.70000+ 1 6.76780-11 2.90000+ 1 1.07800-10 3.00000+ 1 6.34570-11 1 78000 0 0 1.95090+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.92960- 6 3.00000+ 0 1.23340- 5 5.00000+ 0 3.40860- 6 6.00000+ 0 3.59970- 6 8.00000+ 0 1.84210- 5 1.00000+ 1 1.24480- 5 1.10000+ 1 1.11490- 5 1.30000+ 1 2.13380- 6 1.40000+ 1 2.03130- 6 1.60000+ 1 1.53500- 5 1.80000+ 1 1.36450- 5 1.90000+ 1 9.63710- 6 2.10000+ 1 8.03710- 6 2.20000+ 1 7.25740- 6 2.40000+ 1 3.63610- 7 2.50000+ 1 3.11960- 7 2.70000+ 1 1.57650- 5 2.90000+ 1 7.48190- 6 3.00000+ 1 6.12380- 6 1 78000 0 0 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.31412- 4 3.00000+ 0 1.86017- 4 5.00000+ 0 1.35570- 4 6.00000+ 0 1.31799- 4 8.00000+ 0 1.29823- 4 1.00000+ 1 1.11124- 4 1.10000+ 1 1.01147- 4 1.30000+ 1 7.56233- 5 1.40000+ 1 7.31130- 5 1.60000+ 1 7.23116- 5 1.80000+ 1 6.42250- 5 1.90000+ 1 6.22182- 5 2.10000+ 1 4.58614- 5 2.20000+ 1 4.45775- 5 2.40000+ 1 2.40467- 5 2.50000+ 1 2.32322- 5 2.70000+ 1 3.07987- 5 2.90000+ 1 2.46257- 5 3.00000+ 1 2.00833- 5 3.20000+ 1 1.10200- 5 3.30000+ 1 9.54000- 6 4.10000+ 1 8.07000- 6 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.27337+ 0 3.00000+ 0 3.78728- 1 5.00000+ 0 4.27987- 1 6.00000+ 0 3.47082- 1 8.00000+ 0 2.87464- 2 1.00000+ 1 2.86038- 2 1.10000+ 1 2.70115- 2 1.30000+ 1 3.00641- 2 1.40000+ 1 2.83766- 2 1.60000+ 1 9.80442- 4 1.80000+ 1 1.22036- 3 1.90000+ 1 5.63849- 4 2.10000+ 1 2.16668- 4 2.20000+ 1 2.00735- 4 2.40000+ 1 7.60842- 7 2.50000+ 1 7.08864- 7 2.70000+ 1 5.99971- 6 2.90000+ 1 1.38432- 6 3.00000+ 1 2.93062- 7 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.85783- 2 3.00000+ 0 3.41878- 3 5.00000+ 0 4.45028- 3 6.00000+ 0 3.05387- 3 8.00000+ 0 5.98620- 5 1.00000+ 1 5.95590- 5 1.10000+ 1 5.51353- 5 1.30000+ 1 6.18477- 5 1.40000+ 1 5.67222- 5 1.60000+ 1 3.36030- 7 1.80000+ 1 3.74940- 7 1.90000+ 1 1.58970- 7 2.10000+ 1 5.38587- 8 2.20000+ 1 4.75071- 8 2.40000+ 1 5.44410-11 2.50000+ 1 4.88692-11 2.70000+ 1 2.96278-10 2.90000+ 1 8.49344-11 3.00000+ 1 1.41350-11 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.19570+ 1 3.00000+ 0 1.73426+ 1 5.00000+ 0 1.23311+ 1 6.00000+ 0 1.20109+ 1 8.00000+ 0 1.18154+ 1 1.00000+ 1 9.91801+ 0 1.10000+ 1 9.02315+ 0 1.30000+ 1 6.40716+ 0 1.40000+ 1 6.22734+ 0 1.60000+ 1 6.11969+ 0 1.80000+ 1 5.29090+ 0 1.90000+ 1 5.14349+ 0 2.10000+ 1 3.46355+ 0 2.20000+ 1 3.42312+ 0 2.40000+ 1 1.29668+ 0 2.50000+ 1 1.34025+ 0 2.70000+ 1 2.02494+ 0 2.90000+ 1 1.37878+ 0 3.00000+ 1 1.00000+ 0 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.90526- 3 3.00000+ 0 1.02572- 2 5.00000+ 0 8.72715- 3 6.00000+ 0 8.38133- 3 8.00000+ 0 3.08352- 3 1.00000+ 1 2.85132- 3 1.10000+ 1 2.48062- 3 1.30000+ 1 2.07493- 3 1.40000+ 1 1.99916- 3 1.60000+ 1 6.39562- 4 1.80000+ 1 5.39590- 4 1.90000+ 1 4.49663- 4 2.10000+ 1 2.87185- 4 2.20000+ 1 2.71335- 4 2.40000+ 1 6.14433- 5 2.50000+ 1 5.86377- 5 2.70000+ 1 7.76410- 5 2.90000+ 1 4.87142- 5 3.00000+ 1 3.76567- 5 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.79391- 1 6.53020- 2 6.00000+ 0 4.77361- 1 6.70480- 2 1.00000+ 1 5.22921- 2 7.55930- 2 1.10000+ 1 1.01120- 1 7.59781- 2 1.30000+ 1 1.27450- 3 7.64026- 2 1.40000+ 1 1.57530- 3 7.64860- 2 1.80000+ 1 1.21850- 2 7.80108- 2 1.90000+ 1 2.37720- 2 7.81030- 2 2.10000+ 1 3.23481- 4 7.82819- 2 2.20000+ 1 3.98521- 4 7.82990- 2 2.90000+ 1 2.79851- 3 7.85417- 2 3.00000+ 1 5.57171- 3 7.85573- 2 3.20000+ 1 2.59221- 5 7.86040- 2 3.30000+ 1 3.07991- 5 7.86055- 2 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.35054- 3 5.08910- 2 3.00000+ 0 5.00000+ 0 6.61587- 3 5.14400- 2 3.00000+ 0 6.00000+ 0 4.07904- 3 5.31860- 2 3.00000+ 0 8.00000+ 0 1.73917- 3 6.14798- 2 3.00000+ 0 1.00000+ 1 1.41951- 3 6.17310- 2 3.00000+ 0 1.10000+ 1 9.39261- 4 6.21161- 2 3.00000+ 0 1.30000+ 1 7.76599- 5 6.25406- 2 3.00000+ 0 1.40000+ 1 6.10662- 5 6.26240- 2 3.00000+ 0 1.60000+ 1 4.28987- 4 6.40408- 2 3.00000+ 0 1.80000+ 1 3.40946- 4 6.41488- 2 3.00000+ 0 1.90000+ 1 2.24251- 4 6.42410- 2 3.00000+ 0 2.10000+ 1 1.95483- 5 6.44199- 2 3.00000+ 0 2.20000+ 1 1.51194- 5 6.44370- 2 3.00000+ 0 2.40000+ 1 5.90601- 8 6.46675- 2 3.00000+ 0 2.50000+ 1 5.90601- 8 6.46711- 2 3.00000+ 0 2.70000+ 1 8.38035- 5 6.46446- 2 3.00000+ 0 2.90000+ 1 5.79971- 5 6.46797- 2 3.00000+ 0 3.00000+ 1 3.64971- 5 6.46953- 2 3.00000+ 0 3.20000+ 1 1.65357- 6 6.47420- 2 3.00000+ 0 3.30000+ 1 1.00396- 6 6.47435- 2 5.00000+ 0 5.00000+ 0 4.03607- 4 5.19890- 2 5.00000+ 0 6.00000+ 0 7.40087- 3 5.37350- 2 5.00000+ 0 8.00000+ 0 1.13951- 3 6.20288- 2 5.00000+ 0 1.00000+ 1 1.51899- 4 6.22800- 2 5.00000+ 0 1.10000+ 1 1.42068- 3 6.26651- 2 5.00000+ 0 1.30000+ 1 8.09682- 5 6.30896- 2 5.00000+ 0 1.40000+ 1 2.20814- 4 6.31730- 2 5.00000+ 0 1.60000+ 1 2.71781- 4 6.45898- 2 5.00000+ 0 1.80000+ 1 3.54345- 5 6.46978- 2 5.00000+ 0 1.90000+ 1 3.25586- 4 6.47900- 2 5.00000+ 0 2.10000+ 1 1.96662- 5 6.49689- 2 5.00000+ 0 2.20000+ 1 5.36242- 5 6.49860- 2 5.00000+ 0 2.40000+ 1 5.31511- 7 6.52165- 2 5.00000+ 0 2.50000+ 1 7.67762- 7 6.52201- 2 5.00000+ 0 2.70000+ 1 5.26822- 5 6.51936- 2 5.00000+ 0 2.90000+ 1 5.96515- 6 6.52287- 2 5.00000+ 0 3.00000+ 1 5.25024- 5 6.52443- 2 5.00000+ 0 3.20000+ 1 1.65359- 6 6.52910- 2 5.00000+ 0 3.30000+ 1 3.48435- 6 6.52925- 2 6.00000+ 0 6.00000+ 0 3.24923- 3 5.54810- 2 6.00000+ 0 8.00000+ 0 6.43610- 4 6.37748- 2 6.00000+ 0 1.00000+ 1 1.30686- 3 6.40260- 2 6.00000+ 0 1.10000+ 1 1.28824- 3 6.44111- 2 6.00000+ 0 1.30000+ 1 2.47987- 4 6.48356- 2 6.00000+ 0 1.40000+ 1 2.09293- 4 6.49190- 2 6.00000+ 0 1.60000+ 1 1.50359- 4 6.63358- 2 6.00000+ 0 1.80000+ 1 3.01002- 4 6.64438- 2 6.00000+ 0 1.90000+ 1 2.97763- 4 6.65360- 2 6.00000+ 0 2.10000+ 1 6.07125- 5 6.67149- 2 6.00000+ 0 2.20000+ 1 5.10264- 5 6.67320- 2 6.00000+ 0 2.40000+ 1 8.85832- 7 6.69625- 2 6.00000+ 0 2.50000+ 1 9.44882- 7 6.69661- 2 6.00000+ 0 2.70000+ 1 2.89961- 5 6.69396- 2 6.00000+ 0 2.90000+ 1 5.07878- 5 6.69747- 2 6.00000+ 0 3.00000+ 1 4.81328- 5 6.69903- 2 6.00000+ 0 3.20000+ 1 5.07878- 6 6.70370- 2 6.00000+ 0 3.30000+ 1 3.30716- 6 6.70385- 2 8.00000+ 0 8.00000+ 0 1.70967- 4 7.20686- 2 8.00000+ 0 1.00000+ 1 2.45316- 4 7.23198- 2 8.00000+ 0 1.10000+ 1 1.49528- 4 7.27049- 2 8.00000+ 0 1.30000+ 1 1.19888- 5 7.31294- 2 8.00000+ 0 1.40000+ 1 8.85829- 6 7.32128- 2 8.00000+ 0 1.60000+ 1 8.40354- 5 7.46296- 2 8.00000+ 0 1.80000+ 1 5.89952- 5 7.47376- 2 8.00000+ 0 1.90000+ 1 3.57886- 5 7.48298- 2 8.00000+ 0 2.10000+ 1 3.01179- 6 7.50087- 2 8.00000+ 0 2.20000+ 1 2.18514- 6 7.50258- 2 8.00000+ 0 2.70000+ 1 1.64174- 5 7.52334- 2 8.00000+ 0 2.90000+ 1 1.00393- 5 7.52685- 2 8.00000+ 0 3.00000+ 1 5.84684- 6 7.52841- 2 8.00000+ 0 3.20000+ 1 2.36221- 7 7.53308- 2 8.00000+ 0 3.30000+ 1 1.18111- 7 7.53323- 2 1.00000+ 1 1.00000+ 1 1.38783- 5 7.25710- 2 1.00000+ 1 1.10000+ 1 2.57663- 4 7.29561- 2 1.00000+ 1 1.30000+ 1 1.22243- 5 7.33806- 2 1.00000+ 1 1.40000+ 1 2.95273- 5 7.34640- 2 1.00000+ 1 1.60000+ 1 5.85268- 5 7.48808- 2 1.00000+ 1 1.80000+ 1 6.43739- 6 7.49888- 2 1.00000+ 1 1.90000+ 1 5.93522- 5 7.50810- 2 1.00000+ 1 2.10000+ 1 3.01182- 6 7.52599- 2 1.00000+ 1 2.20000+ 1 7.26406- 6 7.52770- 2 1.00000+ 1 2.40000+ 1 5.90588- 8 7.55075- 2 1.00000+ 1 2.50000+ 1 5.90588- 8 7.55111- 2 1.00000+ 1 2.70000+ 1 1.13391- 5 7.54846- 2 1.00000+ 1 2.90000+ 1 1.06304- 6 7.55197- 2 1.00000+ 1 3.00000+ 1 9.56706- 6 7.55353- 2 1.00000+ 1 3.20000+ 1 2.36223- 7 7.55820- 2 1.00000+ 1 3.30000+ 1 4.72446- 7 7.55835- 2 1.10000+ 1 1.10000+ 1 1.28920- 4 7.33412- 2 1.10000+ 1 1.30000+ 1 3.93313- 5 7.37657- 2 1.10000+ 1 1.40000+ 1 3.21277- 5 7.38491- 2 1.10000+ 1 1.60000+ 1 3.50214- 5 7.52659- 2 1.10000+ 1 1.80000+ 1 5.96500- 5 7.53739- 2 1.10000+ 1 1.90000+ 1 5.97089- 5 7.54661- 2 1.10000+ 1 2.10000+ 1 9.68560- 6 7.56450- 2 1.10000+ 1 2.20000+ 1 7.91369- 6 7.56621- 2 1.10000+ 1 2.40000+ 1 1.18112- 7 7.58926- 2 1.10000+ 1 2.50000+ 1 1.18112- 7 7.58962- 2 1.10000+ 1 2.70000+ 1 6.73268- 6 7.58697- 2 1.10000+ 1 2.90000+ 1 1.00985- 5 7.59048- 2 1.10000+ 1 3.00000+ 1 9.62609- 6 7.59204- 2 1.10000+ 1 3.20000+ 1 8.26791- 7 7.59671- 2 1.10000+ 1 3.30000+ 1 5.31498- 7 7.59686- 2 1.30000+ 1 1.30000+ 1 5.90578- 8 7.41902- 2 1.30000+ 1 1.40000+ 1 4.66538- 6 7.42736- 2 1.30000+ 1 1.60000+ 1 2.83461- 6 7.56904- 2 1.30000+ 1 1.80000+ 1 2.71653- 6 7.57984- 2 1.30000+ 1 1.90000+ 1 8.62206- 6 7.58906- 2 1.30000+ 1 2.10000+ 1 5.90578- 8 7.60695- 2 1.30000+ 1 2.20000+ 1 1.12211- 6 7.60866- 2 1.30000+ 1 2.70000+ 1 5.31486- 7 7.62942- 2 1.30000+ 1 2.90000+ 1 4.72437- 7 7.63293- 2 1.30000+ 1 3.00000+ 1 1.35826- 6 7.63449- 2 1.30000+ 1 3.30000+ 1 5.90578- 8 7.63931- 2 1.40000+ 1 1.40000+ 1 1.12215- 6 7.43570- 2 1.40000+ 1 1.60000+ 1 2.06701- 6 7.57738- 2 1.40000+ 1 1.80000+ 1 6.37842- 6 7.58818- 2 1.40000+ 1 1.90000+ 1 7.02803- 6 7.59740- 2 1.40000+ 1 2.10000+ 1 1.12215- 6 7.61529- 2 1.40000+ 1 2.20000+ 1 5.31505- 7 7.61700- 2 1.40000+ 1 2.70000+ 1 4.13392- 7 7.63776- 2 1.40000+ 1 2.90000+ 1 1.06306- 6 7.64127- 2 1.40000+ 1 3.00000+ 1 1.12215- 6 7.64283- 2 1.40000+ 1 3.20000+ 1 1.18114- 7 7.64750- 2 1.40000+ 1 3.30000+ 1 5.90599- 8 7.64765- 2 1.60000+ 1 1.60000+ 1 1.02793- 5 7.71906- 2 1.60000+ 1 1.80000+ 1 1.39791- 5 7.72986- 2 1.60000+ 1 1.90000+ 1 8.34065- 6 7.73907- 2 1.60000+ 1 2.10000+ 1 7.04860- 7 7.75697- 2 1.60000+ 1 2.20000+ 1 5.28624- 7 7.75868- 2 1.60000+ 1 2.70000+ 1 3.99407- 6 7.77943- 2 1.60000+ 1 2.90000+ 1 2.40814- 6 7.78294- 2 1.60000+ 1 3.00000+ 1 1.35094- 6 7.78450- 2 1.60000+ 1 3.20000+ 1 5.87398- 8 7.78918- 2 1.60000+ 1 3.30000+ 1 5.87398- 8 7.78932- 2 1.80000+ 1 1.80000+ 1 7.67758- 7 7.74066- 2 1.80000+ 1 1.90000+ 1 1.37608- 5 7.74988- 2 1.80000+ 1 2.10000+ 1 6.49653- 7 7.76777- 2 1.80000+ 1 2.20000+ 1 1.59459- 6 7.76948- 2 1.80000+ 1 2.70000+ 1 2.71664- 6 7.79024- 2 1.80000+ 1 2.90000+ 1 2.36228- 7 7.79375- 2 1.80000+ 1 3.00000+ 1 2.24420- 6 7.79531- 2 1.80000+ 1 3.20000+ 1 5.90602- 8 7.79998- 2 1.80000+ 1 3.30000+ 1 1.18115- 7 7.80013- 2 1.90000+ 1 1.90000+ 1 6.78608- 6 7.75909- 2 1.90000+ 1 2.10000+ 1 2.08803- 6 7.77699- 2 1.90000+ 1 2.20000+ 1 1.68199- 6 7.77870- 2 1.90000+ 1 2.70000+ 1 1.56602- 6 7.79945- 2 1.90000+ 1 2.90000+ 1 2.26192- 6 7.80296- 2 1.90000+ 1 3.00000+ 1 2.20400- 6 7.80452- 2 1.90000+ 1 3.20000+ 1 1.74003- 7 7.80919- 2 1.90000+ 1 3.30000+ 1 1.15999- 7 7.80934- 2 2.10000+ 1 2.20000+ 1 2.61031- 7 7.79659- 2 2.10000+ 1 2.70000+ 1 1.30516- 7 7.81735- 2 2.10000+ 1 2.90000+ 1 1.30516- 7 7.82086- 2 2.10000+ 1 3.00000+ 1 3.91548- 7 7.82242- 2 2.20000+ 1 2.20000+ 1 5.95776- 8 7.79831- 2 2.20000+ 1 2.70000+ 1 1.19149- 7 7.81906- 2 2.20000+ 1 2.90000+ 1 2.38298- 7 7.82257- 2 2.20000+ 1 3.00000+ 1 2.97867- 7 7.82413- 2 2.70000+ 1 2.70000+ 1 4.14913- 7 7.83981- 2 2.70000+ 1 2.90000+ 1 4.74193- 7 7.84332- 2 2.70000+ 1 3.00000+ 1 2.37096- 7 7.84488- 2 2.90000+ 1 3.00000+ 1 3.74951- 7 7.84839- 2 3.00000+ 1 3.00000+ 1 2.06220- 7 7.84995- 2 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.10460- 5 5.49000- 4 6.00000+ 0 1.94330- 3 2.29500- 3 1.00000+ 1 2.64019- 2 1.08400- 2 1.10000+ 1 3.09979- 2 1.12251- 2 1.30000+ 1 8.56638- 4 1.16496- 2 1.40000+ 1 1.28270- 3 1.17330- 2 1.80000+ 1 6.64049- 3 1.32578- 2 1.90000+ 1 8.36628- 3 1.33500- 2 2.10000+ 1 1.26270- 4 1.35289- 2 2.20000+ 1 1.98460- 4 1.35460- 2 2.90000+ 1 1.15800- 3 1.37887- 2 3.00000+ 1 1.41490- 3 1.38043- 2 3.20000+ 1 9.25318- 6 1.38510- 2 3.30000+ 1 1.41950- 5 1.38525- 2 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.90000+ 1 1.64959- 2 3.69600- 5 5.00000+ 0 2.10000+ 1 4.59915- 3 2.15900- 4 5.00000+ 0 2.20000+ 1 6.28679- 3 2.33040- 4 5.00000+ 0 2.40000+ 1 1.38535- 2 4.63510- 4 5.00000+ 0 2.50000+ 1 1.82775- 2 4.67130- 4 5.00000+ 0 2.70000+ 1 3.90437- 3 4.40560- 4 5.00000+ 0 2.90000+ 1 2.69349- 3 4.75660- 4 5.00000+ 0 3.00000+ 1 2.55727- 3 4.91260- 4 5.00000+ 0 3.20000+ 1 3.87051- 4 5.37980- 4 5.00000+ 0 3.30000+ 1 4.22794- 4 5.39460- 4 6.00000+ 0 1.30000+ 1 2.34117- 1 8.26000- 5 6.00000+ 0 1.40000+ 1 3.08447- 1 1.66000- 4 6.00000+ 0 1.60000+ 1 1.92503- 2 1.58279- 3 6.00000+ 0 1.80000+ 1 7.73366- 3 1.69081- 3 6.00000+ 0 1.90000+ 1 1.20349- 2 1.78296- 3 6.00000+ 0 2.10000+ 1 2.93138- 2 1.96190- 3 6.00000+ 0 2.20000+ 1 3.52259- 2 1.97904- 3 6.00000+ 0 2.40000+ 1 2.08082- 2 2.20951- 3 6.00000+ 0 2.50000+ 1 2.60282- 2 2.21313- 3 6.00000+ 0 2.70000+ 1 3.58840- 3 2.18656- 3 6.00000+ 0 2.90000+ 1 1.28618- 3 2.22166- 3 6.00000+ 0 3.00000+ 1 1.93802- 3 2.23726- 3 6.00000+ 0 3.20000+ 1 2.26157- 3 2.28398- 3 6.00000+ 0 3.30000+ 1 2.10519- 3 2.28546- 3 8.00000+ 0 8.00000+ 0 5.00122- 3 7.31560- 3 8.00000+ 0 1.00000+ 1 1.02273- 2 7.56680- 3 8.00000+ 0 1.10000+ 1 1.66149- 2 7.95190- 3 8.00000+ 0 1.30000+ 1 1.24823- 2 8.37640- 3 8.00000+ 0 1.40000+ 1 1.62892- 2 8.45980- 3 8.00000+ 0 1.60000+ 1 2.09431- 3 9.87659- 3 8.00000+ 0 1.80000+ 1 2.41916- 3 9.98461- 3 8.00000+ 0 1.90000+ 1 3.86413- 3 1.00768- 2 8.00000+ 0 2.10000+ 1 2.60841- 3 1.02557- 2 8.00000+ 0 2.20000+ 1 3.37109- 3 1.02728- 2 8.00000+ 0 2.40000+ 1 1.98395- 4 1.05033- 2 8.00000+ 0 2.50000+ 1 2.21544- 4 1.05069- 2 8.00000+ 0 2.70000+ 1 3.98417- 4 1.04804- 2 8.00000+ 0 2.90000+ 1 4.09991- 4 1.05155- 2 8.00000+ 0 3.00000+ 1 6.24635- 4 1.05311- 2 8.00000+ 0 3.20000+ 1 2.11797- 4 1.05778- 2 8.00000+ 0 3.30000+ 1 2.14034- 4 1.05793- 2 1.00000+ 1 1.00000+ 1 2.31499- 5 7.81800- 3 1.00000+ 1 1.10000+ 1 2.16880- 4 8.20310- 3 1.00000+ 1 1.30000+ 1 6.13058- 4 8.62760- 3 1.00000+ 1 1.40000+ 1 5.28571- 3 8.71100- 3 1.00000+ 1 1.60000+ 1 1.68884- 3 1.01278- 2 1.00000+ 1 1.80000+ 1 3.45206- 6 1.02358- 2 1.00000+ 1 1.90000+ 1 4.38631- 5 1.03280- 2 1.00000+ 1 2.10000+ 1 1.14936- 4 1.05069- 2 1.00000+ 1 2.20000+ 1 6.99371- 4 1.05240- 2 1.00000+ 1 2.40000+ 1 7.14800- 5 1.07545- 2 1.00000+ 1 2.50000+ 1 2.49974- 4 1.07581- 2 1.00000+ 1 2.70000+ 1 3.03592- 4 1.07316- 2 1.00000+ 1 2.90000+ 1 4.06125- 7 1.07667- 2 1.00000+ 1 3.00000+ 1 6.90423- 6 1.07823- 2 1.00000+ 1 3.20000+ 1 9.34087- 6 1.08290- 2 1.00000+ 1 3.30000+ 1 4.16292- 5 1.08305- 2 1.10000+ 1 1.10000+ 1 5.00967- 4 8.58820- 3 1.10000+ 1 1.30000+ 1 1.96965- 3 9.01270- 3 1.10000+ 1 1.40000+ 1 1.21517- 3 9.09610- 3 1.10000+ 1 1.60000+ 1 2.71075- 3 1.05129- 2 1.10000+ 1 1.80000+ 1 4.99548- 5 1.06209- 2 1.10000+ 1 1.90000+ 1 1.74435- 4 1.07131- 2 1.10000+ 1 2.10000+ 1 1.74435- 4 1.08920- 2 1.10000+ 1 2.20000+ 1 9.50382- 5 1.09091- 2 1.10000+ 1 2.40000+ 1 1.35648- 4 1.11396- 2 1.10000+ 1 2.50000+ 1 1.12499- 4 1.11432- 2 1.10000+ 1 2.70000+ 1 4.85936- 4 1.11167- 2 1.10000+ 1 2.90000+ 1 8.32549- 6 1.11518- 2 1.10000+ 1 3.00000+ 1 2.68049- 5 1.11674- 2 1.10000+ 1 3.20000+ 1 1.21847- 5 1.12141- 2 1.10000+ 1 3.30000+ 1 5.27980- 6 1.12156- 2 1.30000+ 1 1.30000+ 1 7.38754- 4 9.43720- 3 1.30000+ 1 1.40000+ 1 2.24055- 2 9.52060- 3 1.30000+ 1 1.60000+ 1 1.87306- 3 1.09374- 2 1.30000+ 1 1.80000+ 1 1.76660- 4 1.10454- 2 1.30000+ 1 1.90000+ 1 5.08068- 4 1.11376- 2 1.30000+ 1 2.10000+ 1 3.01139- 4 1.13165- 2 1.30000+ 1 2.20000+ 1 3.24498- 3 1.13336- 2 1.30000+ 1 2.40000+ 1 2.16475- 4 1.15641- 2 1.30000+ 1 2.50000+ 1 6.00053- 4 1.15677- 2 1.30000+ 1 2.70000+ 1 3.30379- 4 1.15412- 2 1.30000+ 1 2.90000+ 1 3.10686- 5 1.15763- 2 1.30000+ 1 3.00000+ 1 8.36640- 5 1.15919- 2 1.30000+ 1 3.20000+ 1 2.43678- 5 1.16386- 2 1.30000+ 1 3.30000+ 1 1.94735- 4 1.16401- 2 1.40000+ 1 1.40000+ 1 6.22278- 3 9.60400- 3 1.40000+ 1 1.60000+ 1 2.47744- 3 1.10208- 2 1.40000+ 1 1.80000+ 1 1.11150- 3 1.11288- 2 1.40000+ 1 1.90000+ 1 3.24291- 4 1.12210- 2 1.40000+ 1 2.10000+ 1 3.15822- 3 1.13999- 2 1.40000+ 1 2.20000+ 1 1.90233- 3 1.14170- 2 1.40000+ 1 2.40000+ 1 6.63202- 4 1.16475- 2 1.40000+ 1 2.50000+ 1 5.03608- 4 1.16511- 2 1.40000+ 1 2.70000+ 1 4.39235- 4 1.16246- 2 1.40000+ 1 2.90000+ 1 1.84380- 4 1.16597- 2 1.40000+ 1 3.00000+ 1 5.38111- 5 1.16753- 2 1.40000+ 1 3.20000+ 1 2.40834- 4 1.17220- 2 1.40000+ 1 3.30000+ 1 1.15344- 4 1.17235- 2 1.60000+ 1 1.60000+ 1 2.07133- 4 1.24376- 2 1.60000+ 1 1.80000+ 1 4.00852- 4 1.25456- 2 1.60000+ 1 1.90000+ 1 6.33170- 4 1.26377- 2 1.60000+ 1 2.10000+ 1 3.92123- 4 1.28167- 2 1.60000+ 1 2.20000+ 1 5.10725- 4 1.28338- 2 1.60000+ 1 2.40000+ 1 2.45710- 5 1.30643- 2 1.60000+ 1 2.50000+ 1 2.63985- 5 1.30679- 2 1.60000+ 1 2.70000+ 1 7.79793- 5 1.30413- 2 1.60000+ 1 2.90000+ 1 6.80276- 5 1.30764- 2 1.60000+ 1 3.00000+ 1 1.02343- 4 1.30920- 2 1.60000+ 1 3.20000+ 1 3.18821- 5 1.31388- 2 1.60000+ 1 3.30000+ 1 3.24903- 5 1.31402- 2 1.80000+ 1 1.90000+ 1 1.01522- 5 1.27458- 2 1.80000+ 1 2.10000+ 1 2.90384- 5 1.29247- 2 1.80000+ 1 2.20000+ 1 1.52703- 4 1.29418- 2 1.80000+ 1 2.40000+ 1 9.74664- 6 1.31723- 2 1.80000+ 1 2.50000+ 1 3.87852- 5 1.31759- 2 1.80000+ 1 2.70000+ 1 7.20879- 5 1.31494- 2 1.80000+ 1 3.00000+ 1 1.62449- 6 1.32001- 2 1.80000+ 1 3.20000+ 1 2.23377- 6 1.32468- 2 1.80000+ 1 3.30000+ 1 9.13806- 6 1.32483- 2 1.90000+ 1 1.90000+ 1 1.46204- 5 1.28379- 2 1.90000+ 1 2.10000+ 1 5.09694- 5 1.30169- 2 1.90000+ 1 2.20000+ 1 3.06636- 5 1.30340- 2 1.90000+ 1 2.40000+ 1 2.63984- 5 1.32645- 2 1.90000+ 1 2.50000+ 1 2.15251- 5 1.32681- 2 1.90000+ 1 2.70000+ 1 1.13518- 4 1.32415- 2 1.90000+ 1 2.90000+ 1 1.62452- 6 1.32766- 2 1.90000+ 1 3.00000+ 1 4.46749- 6 1.32922- 2 1.90000+ 1 3.20000+ 1 3.65518- 6 1.33389- 2 1.90000+ 1 3.30000+ 1 1.82764- 6 1.33404- 2 2.10000+ 1 2.10000+ 1 2.84298- 5 1.31958- 2 2.10000+ 1 2.20000+ 1 4.99948- 4 1.32129- 2 2.10000+ 1 2.40000+ 1 3.04600- 5 1.34434- 2 2.10000+ 1 2.50000+ 1 6.43725- 5 1.34470- 2 2.10000+ 1 2.70000+ 1 6.92458- 5 1.34205- 2 2.10000+ 1 2.90000+ 1 5.07667- 6 1.34556- 2 2.10000+ 1 3.00000+ 1 8.52843- 6 1.34712- 2 2.10000+ 1 3.20000+ 1 4.46749- 6 1.35179- 2 2.10000+ 1 3.30000+ 1 3.04600- 5 1.35194- 2 2.20000+ 1 2.20000+ 1 1.55750- 4 1.32301- 2 2.20000+ 1 2.40000+ 1 7.47323- 5 1.34605- 2 2.20000+ 1 2.50000+ 1 6.33568- 5 1.34642- 2 2.20000+ 1 2.70000+ 1 9.03664- 5 1.34376- 2 2.20000+ 1 2.90000+ 1 2.53828- 5 1.34727- 2 2.20000+ 1 3.00000+ 1 5.27980- 6 1.34883- 2 2.20000+ 1 3.20000+ 1 3.85821- 5 1.35350- 2 2.20000+ 1 3.30000+ 1 1.90883- 5 1.35365- 2 2.40000+ 1 2.40000+ 1 8.63966- 7 1.36910- 2 2.40000+ 1 2.50000+ 1 1.95831- 5 1.36946- 2 2.40000+ 1 2.70000+ 1 6.04769- 6 1.36681- 2 2.40000+ 1 2.90000+ 1 2.01595- 6 1.37032- 2 2.40000+ 1 3.00000+ 1 5.75962- 6 1.37188- 2 2.40000+ 1 3.20000+ 1 3.45588- 6 1.37655- 2 2.40000+ 1 3.30000+ 1 6.04769- 6 1.37670- 2 2.50000+ 1 2.50000+ 1 4.47742- 6 1.36983- 2 2.50000+ 1 2.70000+ 1 7.03588- 6 1.36717- 2 2.50000+ 1 2.90000+ 1 9.59435- 6 1.37068- 2 2.50000+ 1 3.00000+ 1 5.11691- 6 1.37224- 2 2.50000+ 1 3.20000+ 1 7.35579- 6 1.37691- 2 2.50000+ 1 3.30000+ 1 5.75657- 6 1.37706- 2 2.70000+ 1 2.70000+ 1 1.79311- 5 1.36451- 2 2.70000+ 1 2.90000+ 1 2.98869- 5 1.36802- 2 2.70000+ 1 3.00000+ 1 4.48289- 5 1.36958- 2 2.70000+ 1 3.20000+ 1 1.39464- 5 1.37425- 2 2.70000+ 1 3.30000+ 1 1.39464- 5 1.37440- 2 2.90000+ 1 3.00000+ 1 8.87824- 7 1.37309- 2 2.90000+ 1 3.20000+ 1 1.77551- 6 1.37776- 2 2.90000+ 1 3.30000+ 1 6.21455- 6 1.37791- 2 3.00000+ 1 3.00000+ 1 1.42463- 6 1.37465- 2 3.00000+ 1 3.20000+ 1 2.13700- 6 1.37932- 2 3.00000+ 1 3.30000+ 1 7.12369- 7 1.37947- 2 3.20000+ 1 3.20000+ 1 2.03079- 7 1.38400- 2 3.20000+ 1 3.30000+ 1 2.23382- 6 1.38414- 2 3.30000+ 1 3.30000+ 1 6.31969- 7 1.38429- 2 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 5.98913- 6 1.74600- 3 8.00000+ 0 7.59664- 3 1.00398- 2 1.10000+ 1 2.79001- 4 1.06761- 2 1.30000+ 1 2.79741- 1 1.11006- 2 1.60000+ 1 1.90861- 3 1.26008- 2 1.90000+ 1 7.47974- 5 1.28010- 2 2.10000+ 1 5.45853- 2 1.29799- 2 2.40000+ 1 1.86621- 4 1.32275- 2 2.70000+ 1 3.80622- 4 1.32046- 2 3.00000+ 1 1.49531- 5 1.32553- 2 3.20000+ 1 4.26002- 3 1.33020- 2 4.10000+ 1 1.62461- 5 1.33049- 2 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 5.87261- 3 1.03379- 3 6.00000+ 0 1.80000+ 1 3.94906- 2 1.14181- 3 6.00000+ 0 1.90000+ 1 1.14249- 2 1.23396- 3 6.00000+ 0 2.10000+ 1 4.21022- 2 1.41290- 3 6.00000+ 0 2.20000+ 1 1.45832- 2 1.43004- 3 6.00000+ 0 2.40000+ 1 1.55616- 3 1.66051- 3 6.00000+ 0 2.50000+ 1 2.34744- 3 1.66413- 3 6.00000+ 0 2.70000+ 1 1.05267- 3 1.63756- 3 6.00000+ 0 2.90000+ 1 6.21039- 3 1.67266- 3 6.00000+ 0 3.00000+ 1 1.80921- 3 1.68826- 3 6.00000+ 0 3.20000+ 1 3.30086- 3 1.73498- 3 6.00000+ 0 3.30000+ 1 9.00383- 4 1.73646- 3 8.00000+ 0 8.00000+ 0 6.29713- 4 6.76660- 3 8.00000+ 0 1.00000+ 1 2.08338- 2 7.01780- 3 8.00000+ 0 1.10000+ 1 1.97554- 3 7.40290- 3 8.00000+ 0 1.30000+ 1 2.97353- 3 7.82740- 3 8.00000+ 0 1.40000+ 1 2.03261- 3 7.91080- 3 8.00000+ 0 1.60000+ 1 2.39001- 4 9.32759- 3 8.00000+ 0 1.80000+ 1 3.26243- 3 9.43561- 3 8.00000+ 0 1.90000+ 1 4.10450- 4 9.52776- 3 8.00000+ 0 2.10000+ 1 4.39551- 4 9.70670- 3 8.00000+ 0 2.20000+ 1 2.55634- 4 9.72384- 3 8.00000+ 0 2.40000+ 1 8.98885- 5 9.95431- 3 8.00000+ 0 2.50000+ 1 6.07904- 5 9.95793- 3 8.00000+ 0 2.70000+ 1 4.46831- 5 9.93136- 3 8.00000+ 0 2.90000+ 1 5.10739- 4 9.96646- 3 8.00000+ 0 3.00000+ 1 6.49460- 5 9.98206- 3 8.00000+ 0 3.20000+ 1 3.37719- 5 1.00288- 2 8.00000+ 0 3.30000+ 1 1.50680- 5 1.00303- 2 1.00000+ 1 1.00000+ 1 2.16027- 2 7.26900- 3 1.00000+ 1 1.10000+ 1 5.69966- 2 7.65410- 3 1.00000+ 1 1.30000+ 1 2.98041- 2 8.07860- 3 1.00000+ 1 1.40000+ 1 4.38596- 2 8.16200- 3 1.00000+ 1 1.60000+ 1 5.25646- 3 9.57879- 3 1.00000+ 1 1.80000+ 1 8.61978- 3 9.68681- 3 1.00000+ 1 1.90000+ 1 1.30240- 2 9.77896- 3 1.00000+ 1 2.10000+ 1 6.22648- 3 9.95790- 3 1.00000+ 1 2.20000+ 1 9.11966- 3 9.97504- 3 1.00000+ 1 2.40000+ 1 4.41630- 4 1.02055- 2 1.00000+ 1 2.50000+ 1 3.93323- 4 1.02091- 2 1.00000+ 1 2.70000+ 1 1.03083- 3 1.01826- 2 1.00000+ 1 2.90000+ 1 1.42147- 3 1.02177- 2 1.00000+ 1 3.00000+ 1 2.09849- 3 1.02333- 2 1.00000+ 1 3.20000+ 1 5.06049- 4 1.02800- 2 1.00000+ 1 3.30000+ 1 5.79829- 4 1.02815- 2 1.10000+ 1 1.10000+ 1 1.34307- 3 8.03920- 3 1.10000+ 1 1.30000+ 1 2.85177- 2 8.46370- 3 1.10000+ 1 1.40000+ 1 4.07456- 3 8.54710- 3 1.10000+ 1 1.60000+ 1 4.19813- 4 9.96389- 3 1.10000+ 1 1.80000+ 1 9.13598- 3 1.00719- 2 1.10000+ 1 1.90000+ 1 5.25292- 4 1.01641- 2 1.10000+ 1 2.10000+ 1 5.01498- 3 1.03430- 2 1.10000+ 1 2.20000+ 1 6.85803- 4 1.03601- 2 1.10000+ 1 2.40000+ 1 1.97435- 4 1.05906- 2 1.10000+ 1 2.50000+ 1 1.05467- 4 1.05942- 2 1.10000+ 1 2.70000+ 1 7.94956- 5 1.05677- 2 1.10000+ 1 2.90000+ 1 1.43611- 3 1.06028- 2 1.10000+ 1 3.00000+ 1 8.20921- 5 1.06184- 2 1.10000+ 1 3.20000+ 1 3.96441- 4 1.06651- 2 1.10000+ 1 3.30000+ 1 4.20865- 5 1.06666- 2 1.30000+ 1 1.30000+ 1 2.69176- 2 8.88820- 3 1.30000+ 1 1.40000+ 1 1.08241- 1 8.97160- 3 1.30000+ 1 1.60000+ 1 7.50756- 4 1.03884- 2 1.30000+ 1 1.80000+ 1 4.65600- 3 1.04964- 2 1.30000+ 1 1.90000+ 1 6.05824- 3 1.05886- 2 1.30000+ 1 2.10000+ 1 9.34880- 3 1.07675- 2 1.30000+ 1 2.20000+ 1 2.02341- 2 1.07846- 2 1.30000+ 1 2.40000+ 1 1.60545- 3 1.10151- 2 1.30000+ 1 2.50000+ 1 3.25774- 3 1.10187- 2 1.30000+ 1 2.70000+ 1 1.47556- 4 1.09922- 2 1.30000+ 1 2.90000+ 1 7.34163- 4 1.10273- 2 1.30000+ 1 3.00000+ 1 9.62740- 4 1.10429- 2 1.30000+ 1 3.20000+ 1 7.40932- 4 1.10896- 2 1.30000+ 1 3.30000+ 1 1.26568- 3 1.10911- 2 1.40000+ 1 1.40000+ 1 5.24051- 3 9.05500- 3 1.40000+ 1 1.60000+ 1 4.15138- 4 1.04718- 2 1.40000+ 1 1.80000+ 1 6.05503- 3 1.05798- 2 1.40000+ 1 1.90000+ 1 7.95478- 4 1.06720- 2 1.40000+ 1 2.10000+ 1 1.54726- 2 1.08509- 2 1.40000+ 1 2.20000+ 1 1.78059- 3 1.08680- 2 1.40000+ 1 2.40000+ 1 6.43757- 4 1.10985- 2 1.40000+ 1 2.50000+ 1 2.47314- 4 1.11021- 2 1.40000+ 1 2.70000+ 1 7.79336- 5 1.10756- 2 1.40000+ 1 2.90000+ 1 9.23303- 4 1.11107- 2 1.40000+ 1 3.00000+ 1 1.24174- 4 1.11263- 2 1.40000+ 1 3.20000+ 1 1.18516- 3 1.11730- 2 1.40000+ 1 3.30000+ 1 1.10154- 4 1.11745- 2 1.60000+ 1 1.60000+ 1 2.18216- 5 1.18886- 2 1.60000+ 1 1.80000+ 1 8.28225- 4 1.19966- 2 1.60000+ 1 1.90000+ 1 8.78076- 5 1.20887- 2 1.60000+ 1 2.10000+ 1 1.07552- 4 1.22677- 2 1.60000+ 1 2.20000+ 1 5.24780- 5 1.22848- 2 1.60000+ 1 2.40000+ 1 1.97438- 5 1.25153- 2 1.60000+ 1 2.50000+ 1 1.09115- 5 1.25189- 2 1.60000+ 1 2.70000+ 1 8.31350- 6 1.24923- 2 1.60000+ 1 2.90000+ 1 1.29894- 4 1.25274- 2 1.60000+ 1 3.00000+ 1 1.40289- 5 1.25430- 2 1.60000+ 1 3.20000+ 1 8.31350- 6 1.25898- 2 1.60000+ 1 3.30000+ 1 3.11739- 6 1.25912- 2 1.80000+ 1 1.80000+ 1 8.17800- 4 1.21046- 2 1.80000+ 1 1.90000+ 1 2.09272- 3 1.21968- 2 1.80000+ 1 2.10000+ 1 9.57534- 4 1.23757- 2 1.80000+ 1 2.20000+ 1 1.27088- 3 1.23928- 2 1.80000+ 1 2.40000+ 1 5.61153- 5 1.26233- 2 1.80000+ 1 2.50000+ 1 4.05266- 5 1.26269- 2 1.80000+ 1 2.70000+ 1 1.62628- 4 1.26004- 2 1.80000+ 1 2.90000+ 1 2.67054- 4 1.26355- 2 1.80000+ 1 3.00000+ 1 3.37210- 4 1.26511- 2 1.80000+ 1 3.20000+ 1 7.74190- 5 1.26978- 2 1.80000+ 1 3.30000+ 1 8.10511- 5 1.26993- 2 1.90000+ 1 1.90000+ 1 5.14390- 5 1.22889- 2 1.90000+ 1 2.10000+ 1 1.07351- 3 1.24679- 2 1.90000+ 1 2.20000+ 1 1.36131- 4 1.24850- 2 1.90000+ 1 2.40000+ 1 3.53304- 5 1.27155- 2 1.90000+ 1 2.50000+ 1 1.76658- 5 1.27191- 2 1.90000+ 1 2.70000+ 1 1.66263- 5 1.26925- 2 1.90000+ 1 2.90000+ 1 3.28880- 4 1.27276- 2 1.90000+ 1 3.00000+ 1 1.61066- 5 1.27432- 2 1.90000+ 1 3.20000+ 1 8.52100- 5 1.27899- 2 1.90000+ 1 3.30000+ 1 8.31341- 6 1.27914- 2 2.10000+ 1 2.10000+ 1 8.03288- 4 1.26468- 2 2.10000+ 1 2.20000+ 1 3.01053- 3 1.26639- 2 2.10000+ 1 2.40000+ 1 1.91218- 4 1.28944- 2 2.10000+ 1 2.50000+ 1 3.92281- 4 1.28980- 2 2.10000+ 1 2.70000+ 1 2.07821- 5 1.28715- 2 2.10000+ 1 2.90000+ 1 1.50162- 4 1.29066- 2 2.10000+ 1 3.00000+ 1 1.70941- 4 1.29222- 2 2.10000+ 1 3.20000+ 1 1.27300- 4 1.29689- 2 2.10000+ 1 3.30000+ 1 1.89125- 4 1.29704- 2 2.20000+ 1 2.20000+ 1 1.63268- 4 1.26811- 2 2.20000+ 1 2.40000+ 1 8.88558- 5 1.29115- 2 2.20000+ 1 2.50000+ 1 3.44312- 5 1.29152- 2 2.20000+ 1 2.70000+ 1 1.05516- 5 1.28886- 2 2.20000+ 1 2.90000+ 1 2.07696- 4 1.29237- 2 2.20000+ 1 3.00000+ 1 2.27678- 5 1.29393- 2 2.20000+ 1 3.20000+ 1 2.47682- 4 1.29860- 2 2.20000+ 1 3.30000+ 1 1.99925- 5 1.29875- 2 2.40000+ 1 2.40000+ 1 4.71629- 6 1.31420- 2 2.40000+ 1 2.50000+ 1 3.12458- 5 1.31456- 2 2.40000+ 1 2.70000+ 1 4.12649- 6 1.31191- 2 2.40000+ 1 2.90000+ 1 9.43258- 6 1.31542- 2 2.40000+ 1 3.00000+ 1 5.89524- 6 1.31698- 2 2.40000+ 1 3.20000+ 1 1.59173- 5 1.32165- 2 2.40000+ 1 3.30000+ 1 5.30577- 6 1.32180- 2 2.50000+ 1 2.50000+ 1 1.87373- 6 1.31493- 2 2.50000+ 1 2.70000+ 1 2.49808- 6 1.31227- 2 2.50000+ 1 2.90000+ 1 6.87015- 6 1.31578- 2 2.50000+ 1 3.00000+ 1 3.12271- 6 1.31734- 2 2.50000+ 1 3.20000+ 1 3.49755- 5 1.32201- 2 2.50000+ 1 3.30000+ 1 2.49808- 6 1.32216- 2 2.70000+ 1 2.70000+ 1 6.02985- 7 1.30961- 2 2.70000+ 1 2.90000+ 1 2.95453- 5 1.31312- 2 2.70000+ 1 3.00000+ 1 3.01486- 6 1.31468- 2 2.70000+ 1 3.20000+ 1 1.80902- 6 1.31935- 2 2.70000+ 1 3.30000+ 1 6.02985- 7 1.31950- 2 2.90000+ 1 2.90000+ 1 2.59491- 5 1.31663- 2 2.90000+ 1 3.00000+ 1 6.30220- 5 1.31819- 2 2.90000+ 1 3.20000+ 1 1.42114- 5 1.32286- 2 2.90000+ 1 3.30000+ 1 1.48282- 5 1.32301- 2 3.00000+ 1 3.00000+ 1 1.42789- 6 1.31975- 2 3.00000+ 1 3.20000+ 1 1.85623- 5 1.32442- 2 3.00000+ 1 3.30000+ 1 2.14189- 6 1.32457- 2 3.20000+ 1 3.20000+ 1 5.19567- 6 1.32910- 2 3.20000+ 1 3.30000+ 1 1.40284- 5 1.32924- 2 3.30000+ 1 3.30000+ 1 7.07284- 7 1.32939- 2 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.41620- 2 8.29380- 3 1.00000+ 1 1.34280- 4 8.54500- 3 1.10000+ 1 1.21510- 4 8.93010- 3 1.30000+ 1 2.45640- 2 9.35460- 3 1.40000+ 1 2.16490- 1 9.43800- 3 1.60000+ 1 2.90581- 3 1.08548- 2 1.80000+ 1 2.96801- 5 1.09628- 2 1.90000+ 1 2.97541- 5 1.10550- 2 2.10000+ 1 4.44591- 3 1.12339- 2 2.20000+ 1 4.00381- 2 1.12510- 2 2.40000+ 1 2.76761- 5 1.14815- 2 2.50000+ 1 1.55130- 4 1.14851- 2 2.70000+ 1 6.08131- 4 1.14586- 2 2.90000+ 1 6.22561- 6 1.14937- 2 3.00000+ 1 6.15701- 6 1.15093- 2 3.20000+ 1 3.41741- 4 1.15560- 2 3.30000+ 1 2.95111- 3 1.15575- 2 4.10000+ 1 2.45760- 5 1.15589- 2 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 8.15163- 4 5.02060- 3 8.00000+ 0 1.00000+ 1 4.33480- 4 5.27180- 3 8.00000+ 0 1.10000+ 1 2.21574- 2 5.65690- 3 8.00000+ 0 1.30000+ 1 2.63396- 3 6.08140- 3 8.00000+ 0 1.40000+ 1 4.15061- 3 6.16480- 3 8.00000+ 0 1.60000+ 1 3.10972- 4 7.58159- 3 8.00000+ 0 1.80000+ 1 7.69591- 5 7.68961- 3 8.00000+ 0 1.90000+ 1 3.39719- 3 7.78176- 3 8.00000+ 0 2.10000+ 1 2.64378- 4 7.96070- 3 8.00000+ 0 2.20000+ 1 3.79045- 4 7.97784- 3 8.00000+ 0 2.40000+ 1 1.96848- 4 8.20831- 3 8.00000+ 0 2.50000+ 1 3.50759- 4 8.21193- 3 8.00000+ 0 2.70000+ 1 5.75892- 5 8.18536- 3 8.00000+ 0 2.90000+ 1 1.20412- 5 8.22046- 3 8.00000+ 0 3.00000+ 1 5.08362- 4 8.23606- 3 8.00000+ 0 3.20000+ 1 1.93709- 5 8.28278- 3 8.00000+ 0 3.30000+ 1 2.09411- 5 8.28426- 3 1.00000+ 1 1.00000+ 1 6.33467- 5 5.52300- 3 1.00000+ 1 1.10000+ 1 3.71946- 2 5.90810- 3 1.00000+ 1 1.30000+ 1 1.84756- 3 6.33260- 3 1.00000+ 1 1.40000+ 1 1.60480- 2 6.41600- 3 1.00000+ 1 1.60000+ 1 8.84770- 5 7.83279- 3 1.00000+ 1 1.80000+ 1 2.77483- 5 7.94081- 3 1.00000+ 1 1.90000+ 1 5.92377- 3 8.03296- 3 1.00000+ 1 2.10000+ 1 3.42918- 4 8.21190- 3 1.00000+ 1 2.20000+ 1 2.46631- 3 8.22904- 3 1.00000+ 1 2.40000+ 1 1.99464- 4 8.45951- 3 1.00000+ 1 2.50000+ 1 5.08362- 4 8.46313- 3 1.00000+ 1 2.70000+ 1 1.67529- 5 8.43656- 3 1.00000+ 1 2.90000+ 1 4.71183- 6 8.47166- 3 1.00000+ 1 3.00000+ 1 8.92110- 4 8.48726- 3 1.00000+ 1 3.20000+ 1 2.77483- 5 8.53398- 3 1.00000+ 1 3.30000+ 1 1.50253- 4 8.53546- 3 1.10000+ 1 1.10000+ 1 4.77504- 2 6.29320- 3 1.10000+ 1 1.30000+ 1 4.99533- 2 6.71770- 3 1.10000+ 1 1.40000+ 1 6.88241- 2 6.80110- 3 1.10000+ 1 1.60000+ 1 5.51132- 3 8.21789- 3 1.10000+ 1 1.80000+ 1 8.28469- 3 8.32591- 3 1.10000+ 1 1.90000+ 1 1.83795- 2 8.41806- 3 1.10000+ 1 2.10000+ 1 9.85409- 3 8.59700- 3 1.10000+ 1 2.20000+ 1 1.33588- 2 8.61414- 3 1.10000+ 1 2.40000+ 1 7.84280- 4 8.84461- 3 1.10000+ 1 2.50000+ 1 9.76887- 4 8.84823- 3 1.10000+ 1 2.70000+ 1 1.07749- 3 8.82166- 3 1.10000+ 1 2.90000+ 1 1.39003- 3 8.85676- 3 1.10000+ 1 3.00000+ 1 2.88044- 3 8.87236- 3 1.10000+ 1 3.20000+ 1 7.94738- 4 8.91908- 3 1.10000+ 1 3.30000+ 1 8.40240- 4 8.92056- 3 1.30000+ 1 1.30000+ 1 7.00887- 3 7.14220- 3 1.30000+ 1 1.40000+ 1 1.31602- 1 7.22560- 3 1.30000+ 1 1.60000+ 1 6.26147- 4 8.64239- 3 1.30000+ 1 1.80000+ 1 4.26682- 4 8.75041- 3 1.30000+ 1 1.90000+ 1 7.27408- 3 8.84256- 3 1.30000+ 1 2.10000+ 1 2.36323- 3 9.02150- 3 1.30000+ 1 2.20000+ 1 1.85567- 2 9.03864- 3 1.30000+ 1 2.40000+ 1 4.36629- 4 9.26911- 3 1.30000+ 1 2.50000+ 1 1.48529- 3 9.27273- 3 1.30000+ 1 2.70000+ 1 1.21455- 4 9.24616- 3 1.30000+ 1 2.90000+ 1 7.17230- 5 9.28126- 3 1.30000+ 1 3.00000+ 1 1.07748- 3 9.29686- 3 1.30000+ 1 3.20000+ 1 1.86901- 4 9.34358- 3 1.30000+ 1 3.30000+ 1 1.11307- 3 9.34506- 3 1.40000+ 1 1.40000+ 1 8.78586- 2 7.30900- 3 1.40000+ 1 1.60000+ 1 1.01199- 3 8.72579- 3 1.40000+ 1 1.80000+ 1 3.25415- 3 8.83381- 3 1.40000+ 1 1.90000+ 1 1.13070- 2 8.92596- 3 1.40000+ 1 2.10000+ 1 2.24276- 2 9.10490- 3 1.40000+ 1 2.20000+ 1 2.82842- 2 9.12204- 3 1.40000+ 1 2.40000+ 1 4.62901- 3 9.35251- 3 1.40000+ 1 2.50000+ 1 4.22322- 3 9.35613- 3 1.40000+ 1 2.70000+ 1 1.98418- 4 9.32956- 3 1.40000+ 1 2.90000+ 1 5.36607- 4 9.36466- 3 1.40000+ 1 3.00000+ 1 1.72349- 3 9.38026- 3 1.40000+ 1 3.20000+ 1 1.77051- 3 9.42698- 3 1.40000+ 1 3.30000+ 1 1.73552- 3 9.42846- 3 1.60000+ 1 1.60000+ 1 2.98425- 5 1.01426- 2 1.60000+ 1 1.80000+ 1 1.62304- 5 1.02506- 2 1.60000+ 1 1.90000+ 1 8.45540- 4 1.03427- 2 1.60000+ 1 2.10000+ 1 6.85863- 5 1.05217- 2 1.60000+ 1 2.20000+ 1 1.00525- 4 1.05388- 2 1.60000+ 1 2.40000+ 1 2.72264- 5 1.07693- 2 1.60000+ 1 2.50000+ 1 5.44497- 5 1.07729- 2 1.60000+ 1 2.70000+ 1 1.09940- 5 1.07463- 2 1.60000+ 1 2.90000+ 1 2.61775- 6 1.07814- 2 1.60000+ 1 3.00000+ 1 1.26696- 4 1.07970- 2 1.60000+ 1 3.20000+ 1 5.23571- 6 1.08438- 2 1.60000+ 1 3.30000+ 1 5.75923- 6 1.08452- 2 1.80000+ 1 1.80000+ 1 2.09403- 6 1.03586- 2 1.80000+ 1 1.90000+ 1 1.31296- 3 1.04508- 2 1.80000+ 1 2.10000+ 1 7.48647- 5 1.06297- 2 1.80000+ 1 2.20000+ 1 5.30310- 4 1.06468- 2 1.80000+ 1 2.40000+ 1 2.87930- 5 1.08773- 2 1.80000+ 1 2.50000+ 1 7.01482- 5 1.08809- 2 1.80000+ 1 2.70000+ 1 3.14099- 6 1.08544- 2 1.80000+ 1 2.90000+ 1 5.23522- 7 1.08895- 2 1.80000+ 1 3.00000+ 1 1.97351- 4 1.09051- 2 1.80000+ 1 3.20000+ 1 5.75870- 6 1.09518- 2 1.80000+ 1 3.30000+ 1 3.24586- 5 1.09533- 2 1.90000+ 1 1.90000+ 1 1.69463- 3 1.05429- 2 1.90000+ 1 2.10000+ 1 1.43813- 3 1.07219- 2 1.90000+ 1 2.20000+ 1 2.16058- 3 1.07390- 2 1.90000+ 1 2.40000+ 1 9.42308- 5 1.09695- 2 1.90000+ 1 2.50000+ 1 1.23550- 4 1.09731- 2 1.90000+ 1 2.70000+ 1 1.65432- 4 1.09465- 2 1.90000+ 1 2.90000+ 1 2.19868- 4 1.09816- 2 1.90000+ 1 3.00000+ 1 5.26678- 4 1.09972- 2 1.90000+ 1 3.20000+ 1 1.16220- 4 1.10439- 2 1.90000+ 1 3.30000+ 1 1.35592- 4 1.10454- 2 2.10000+ 1 2.10000+ 1 1.91611- 4 1.09008- 2 2.10000+ 1 2.20000+ 1 3.29930- 3 1.09179- 2 2.10000+ 1 2.40000+ 1 4.92112- 5 1.11484- 2 2.10000+ 1 2.50000+ 1 1.60729- 4 1.11520- 2 2.10000+ 1 2.70000+ 1 1.36113- 5 1.11255- 2 2.10000+ 1 2.90000+ 1 1.25645- 5 1.11606- 2 2.10000+ 1 3.00000+ 1 2.13078- 4 1.11762- 2 2.10000+ 1 3.20000+ 1 3.03640- 5 1.12229- 2 2.10000+ 1 3.30000+ 1 1.98941- 4 1.12244- 2 2.20000+ 1 2.20000+ 1 2.40513- 3 1.09351- 2 2.20000+ 1 2.40000+ 1 5.39218- 4 1.11655- 2 2.20000+ 1 2.50000+ 1 4.84198- 4 1.11692- 2 2.20000+ 1 2.70000+ 1 2.09089- 5 1.11426- 2 2.20000+ 1 2.90000+ 1 9.24356- 5 1.11777- 2 2.20000+ 1 3.00000+ 1 3.44988- 4 1.11933- 2 2.20000+ 1 3.20000+ 1 2.75109- 4 1.12400- 2 2.20000+ 1 3.30000+ 1 2.94921- 4 1.12415- 2 2.40000+ 1 2.40000+ 1 2.01060- 6 1.13960- 2 2.40000+ 1 2.50000+ 1 6.76896- 5 1.13996- 2 2.40000+ 1 2.70000+ 1 6.03180- 6 1.13731- 2 2.40000+ 1 2.90000+ 1 6.03180- 6 1.14082- 2 2.40000+ 1 3.00000+ 1 1.74246- 5 1.14238- 2 2.40000+ 1 3.20000+ 1 4.69123- 6 1.14705- 2 2.40000+ 1 3.30000+ 1 3.82006- 5 1.14720- 2 2.50000+ 1 2.50000+ 1 1.95954- 5 1.14033- 2 2.50000+ 1 2.70000+ 1 1.03414- 5 1.13767- 2 2.50000+ 1 2.90000+ 1 1.14296- 5 1.14118- 2 2.50000+ 1 3.00000+ 1 1.85060- 5 1.14274- 2 2.50000+ 1 3.20000+ 1 1.25190- 5 1.14741- 2 2.50000+ 1 3.30000+ 1 2.77589- 5 1.14756- 2 2.70000+ 1 2.70000+ 1 1.57892- 6 1.13501- 2 2.70000+ 1 2.90000+ 1 7.89524- 7 1.13852- 2 2.70000+ 1 3.00000+ 1 3.71068- 5 1.14008- 2 2.70000+ 1 3.20000+ 1 1.57892- 6 1.14475- 2 2.70000+ 1 3.30000+ 1 1.57892- 6 1.14490- 2 2.90000+ 1 3.00000+ 1 6.02014- 5 1.14359- 2 2.90000+ 1 3.20000+ 1 1.91099- 6 1.14826- 2 2.90000+ 1 3.30000+ 1 9.55574- 6 1.14841- 2 3.00000+ 1 3.00000+ 1 8.48602- 5 1.14515- 2 3.00000+ 1 3.20000+ 1 3.59020- 5 1.14982- 2 3.00000+ 1 3.30000+ 1 4.24280- 5 1.14997- 2 3.20000+ 1 3.20000+ 1 1.06341- 6 1.15450- 2 3.20000+ 1 3.30000+ 1 1.54206- 5 1.15464- 2 3.30000+ 1 3.30000+ 1 9.94652- 6 1.15479- 2 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.01376- 5 2.51200- 4 1.10000+ 1 3.54051- 4 6.36300- 4 1.80000+ 1 1.25450- 3 2.66901- 3 1.90000+ 1 1.07742- 3 2.76116- 3 2.90000+ 1 2.72281- 4 3.19986- 3 3.00000+ 1 2.40946- 4 3.21546- 3 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 3.53291- 2 1.65710- 4 1.00000+ 1 2.50000+ 1 4.75290- 2 1.69330- 4 1.00000+ 1 2.70000+ 1 1.08009- 2 1.42760- 4 1.00000+ 1 2.90000+ 1 1.00921- 2 1.77860- 4 1.00000+ 1 3.00000+ 1 1.35691- 2 1.93460- 4 1.00000+ 1 3.20000+ 1 4.17645- 3 2.40180- 4 1.00000+ 1 3.30000+ 1 5.41781- 3 2.41660- 4 1.00000+ 1 4.10000+ 1 4.19363- 4 2.43130- 4 1.10000+ 1 1.80000+ 1 6.11423- 2 3.21100- 5 1.10000+ 1 1.90000+ 1 6.62917- 2 1.24260- 4 1.10000+ 1 2.10000+ 1 2.27618- 2 3.03200- 4 1.10000+ 1 2.20000+ 1 3.60269- 2 3.20340- 4 1.10000+ 1 2.40000+ 1 1.66249- 1 5.50810- 4 1.10000+ 1 2.50000+ 1 2.06673- 1 5.54430- 4 1.10000+ 1 2.70000+ 1 1.03695- 2 5.27860- 4 1.10000+ 1 2.90000+ 1 9.55397- 3 5.62960- 4 1.10000+ 1 3.00000+ 1 1.04405- 2 5.78560- 4 1.10000+ 1 3.20000+ 1 1.54005- 3 6.25280- 4 1.10000+ 1 3.30000+ 1 2.39007- 3 6.26760- 4 1.10000+ 1 4.10000+ 1 4.12102- 4 6.28230- 4 1.30000+ 1 1.60000+ 1 2.57184- 2 3.48590- 4 1.30000+ 1 1.80000+ 1 5.64753- 3 4.56610- 4 1.30000+ 1 1.90000+ 1 6.45134- 3 5.48760- 4 1.30000+ 1 2.10000+ 1 8.76799- 3 7.27700- 4 1.30000+ 1 2.20000+ 1 1.08861- 2 7.44840- 4 1.30000+ 1 2.40000+ 1 8.55496- 3 9.75310- 4 1.30000+ 1 2.50000+ 1 7.89962- 3 9.78930- 4 1.30000+ 1 2.70000+ 1 3.27145- 3 9.52360- 4 1.30000+ 1 2.90000+ 1 7.47450- 4 9.87460- 4 1.30000+ 1 3.00000+ 1 7.96845- 4 1.00306- 3 1.30000+ 1 3.20000+ 1 5.36613- 4 1.04978- 3 1.30000+ 1 3.30000+ 1 6.71487- 4 1.05126- 3 1.30000+ 1 4.10000+ 1 1.23398- 4 1.05273- 3 1.40000+ 1 1.60000+ 1 3.60424- 2 4.31990- 4 1.40000+ 1 1.80000+ 1 1.00212- 3 5.40010- 4 1.40000+ 1 1.90000+ 1 1.10515- 2 6.32160- 4 1.40000+ 1 2.10000+ 1 1.21313- 2 8.11100- 4 1.40000+ 1 2.20000+ 1 1.74449- 2 8.28240- 4 1.40000+ 1 2.40000+ 1 9.70771- 3 1.05871- 3 1.40000+ 1 2.50000+ 1 1.51658- 2 1.06233- 3 1.40000+ 1 2.70000+ 1 4.55353- 3 1.03576- 3 1.40000+ 1 2.90000+ 1 1.52153- 4 1.07086- 3 1.40000+ 1 3.00000+ 1 1.35491- 3 1.08646- 3 1.40000+ 1 3.20000+ 1 7.99191- 4 1.13318- 3 1.40000+ 1 3.30000+ 1 1.03795- 3 1.13466- 3 1.40000+ 1 4.10000+ 1 1.71195- 4 1.13613- 3 1.60000+ 1 1.60000+ 1 2.73456- 3 1.84878- 3 1.60000+ 1 1.80000+ 1 4.73614- 3 1.95680- 3 1.60000+ 1 1.90000+ 1 7.92987- 3 2.04895- 3 1.60000+ 1 2.10000+ 1 9.05661- 3 2.22789- 3 1.60000+ 1 2.20000+ 1 1.28005- 2 2.24503- 3 1.60000+ 1 2.40000+ 1 6.04537- 3 2.47550- 3 1.60000+ 1 2.50000+ 1 7.60393- 3 2.47912- 3 1.60000+ 1 2.70000+ 1 8.76869- 4 2.45255- 3 1.60000+ 1 2.90000+ 1 7.97668- 4 2.48765- 3 1.60000+ 1 3.00000+ 1 1.27497- 3 2.50325- 3 1.60000+ 1 3.20000+ 1 6.51173- 4 2.54997- 3 1.60000+ 1 3.30000+ 1 8.64311- 4 2.55145- 3 1.60000+ 1 4.10000+ 1 3.43944- 5 2.55292- 3 1.80000+ 1 1.80000+ 1 2.05196- 4 2.06482- 3 1.80000+ 1 1.90000+ 1 5.75272- 4 2.15697- 3 1.80000+ 1 2.10000+ 1 3.07051- 4 2.33591- 3 1.80000+ 1 2.20000+ 1 1.75134- 4 2.35305- 3 1.80000+ 1 2.40000+ 1 4.98892- 5 2.58352- 3 1.80000+ 1 2.50000+ 1 4.48583- 4 2.58714- 3 1.80000+ 1 2.70000+ 1 5.78826- 4 2.56057- 3 1.80000+ 1 2.90000+ 1 5.26025- 5 2.59567- 3 1.80000+ 1 3.00000+ 1 6.95096- 5 2.61127- 3 1.80000+ 1 3.20000+ 1 1.96204- 5 2.65799- 3 1.80000+ 1 3.30000+ 1 1.39852- 5 2.65947- 3 1.80000+ 1 4.10000+ 1 2.17090- 5 2.66094- 3 1.90000+ 1 1.90000+ 1 6.85918- 4 2.24912- 3 1.90000+ 1 2.10000+ 1 6.07440- 4 2.42806- 3 1.90000+ 1 2.20000+ 1 1.41648- 3 2.44520- 3 1.90000+ 1 2.40000+ 1 5.60881- 4 2.67567- 3 1.90000+ 1 2.50000+ 1 9.96722- 4 2.67929- 3 1.90000+ 1 2.70000+ 1 9.74408- 4 2.65272- 3 1.90000+ 1 2.90000+ 1 8.22439- 5 2.68782- 3 1.90000+ 1 3.00000+ 1 1.85786- 4 2.70342- 3 1.90000+ 1 3.20000+ 1 4.44625- 5 2.75014- 3 1.90000+ 1 3.30000+ 1 9.18489- 5 2.75162- 3 1.90000+ 1 4.10000+ 1 3.67394- 5 2.75309- 3 2.10000+ 1 2.10000+ 1 1.07781- 4 2.60700- 3 2.10000+ 1 2.20000+ 1 4.55961- 4 2.62414- 3 2.10000+ 1 2.40000+ 1 4.58781- 4 2.85461- 3 2.10000+ 1 2.50000+ 1 3.19636- 3 2.85823- 3 2.10000+ 1 2.70000+ 1 1.13664- 3 2.83166- 3 2.10000+ 1 2.90000+ 1 3.65812- 5 2.86676- 3 2.10000+ 1 3.00000+ 1 8.03499- 5 2.88236- 3 2.10000+ 1 3.20000+ 1 1.26292- 5 2.92908- 3 2.10000+ 1 3.30000+ 1 2.65662- 5 2.93056- 3 2.10000+ 1 4.10000+ 1 4.26788- 5 2.93203- 3 2.20000+ 1 2.20000+ 1 2.73169- 4 2.64128- 3 2.20000+ 1 2.40000+ 1 2.95892- 3 2.87175- 3 2.20000+ 1 2.50000+ 1 1.75584- 3 2.87537- 3 2.20000+ 1 2.70000+ 1 1.57255- 3 2.84880- 3 2.20000+ 1 2.90000+ 1 2.26565- 5 2.88390- 3 2.20000+ 1 3.00000+ 1 1.81688- 4 2.89950- 3 2.20000+ 1 3.20000+ 1 2.58641- 5 2.94622- 3 2.20000+ 1 3.30000+ 1 3.09928- 5 2.94770- 3 2.20000+ 1 4.10000+ 1 5.89953- 5 2.94917- 3 2.40000+ 1 2.40000+ 1 5.57135- 4 3.10222- 3 2.40000+ 1 2.50000+ 1 3.81644- 3 3.10584- 3 2.40000+ 1 2.70000+ 1 6.72784- 4 3.07927- 3 2.40000+ 1 2.90000+ 1 6.05351- 6 3.11437- 3 2.40000+ 1 3.00000+ 1 5.34379- 5 3.12997- 3 2.40000+ 1 3.20000+ 1 2.90151- 5 3.17669- 3 2.40000+ 1 3.30000+ 1 1.94128- 4 3.17817- 3 2.40000+ 1 4.10000+ 1 2.50487- 5 3.17964- 3 2.50000+ 1 2.50000+ 1 1.30317- 3 3.10946- 3 2.50000+ 1 2.70000+ 1 8.47551- 4 3.08289- 3 2.50000+ 1 2.90000+ 1 6.73868- 5 3.11799- 3 2.50000+ 1 3.00000+ 1 1.01083- 4 3.13359- 3 2.50000+ 1 3.20000+ 1 2.14912- 4 3.18031- 3 2.50000+ 1 3.30000+ 1 1.11966- 4 3.18179- 3 2.50000+ 1 4.10000+ 1 3.16008- 5 3.18326- 3 2.70000+ 1 2.70000+ 1 8.79406- 5 3.05632- 3 2.70000+ 1 2.90000+ 1 1.34042- 4 3.09142- 3 2.70000+ 1 3.00000+ 1 2.13741- 4 3.10702- 3 2.70000+ 1 3.20000+ 1 1.07288- 4 3.15374- 3 2.70000+ 1 3.30000+ 1 1.42015- 4 3.15522- 3 2.70000+ 1 4.10000+ 1 6.83041- 6 3.15669- 3 2.90000+ 1 2.90000+ 1 7.58431- 6 3.12652- 3 2.90000+ 1 3.00000+ 1 2.18049- 5 3.14212- 3 2.90000+ 1 3.20000+ 1 5.21410- 6 3.18884- 3 2.90000+ 1 3.30000+ 1 4.26613- 6 3.19032- 3 2.90000+ 1 4.10000+ 1 8.53228- 6 3.19179- 3 3.00000+ 1 3.00000+ 1 3.07245- 5 3.15772- 3 3.00000+ 1 3.20000+ 1 1.40606- 5 3.20444- 3 3.00000+ 1 3.30000+ 1 2.86424- 5 3.20592- 3 3.00000+ 1 4.10000+ 1 1.45813- 5 3.20739- 3 3.20000+ 1 3.20000+ 1 7.19728- 7 3.25116- 3 3.20000+ 1 3.30000+ 1 2.51912- 6 3.25264- 3 3.20000+ 1 4.10000+ 1 5.03825- 6 3.25411- 3 3.30000+ 1 3.30000+ 1 1.56026- 6 3.25412- 3 3.30000+ 1 4.10000+ 1 7.41140- 6 3.25559- 3 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 8.94952- 4 8.09600- 4 1.60000+ 1 6.83032- 4 2.30979- 3 2.10000+ 1 3.64151- 3 2.68890- 3 2.70000+ 1 1.42140- 4 2.91356- 3 3.20000+ 1 3.29531- 4 3.01098- 3 4.10000+ 1 5.90462- 6 3.01393- 3 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 6.45743- 3 5.20000- 5 1.10000+ 1 2.20000+ 1 1.58692- 2 6.91400- 5 1.10000+ 1 2.40000+ 1 2.81517- 2 2.99610- 4 1.10000+ 1 2.50000+ 1 2.66531- 2 3.03230- 4 1.10000+ 1 2.70000+ 1 3.13441- 3 2.76660- 4 1.10000+ 1 2.90000+ 1 3.79112- 3 3.11760- 4 1.10000+ 1 3.00000+ 1 2.69641- 3 3.27360- 4 1.10000+ 1 3.20000+ 1 5.35433- 4 3.74080- 4 1.10000+ 1 3.30000+ 1 1.15109- 3 3.75560- 4 1.10000+ 1 4.10000+ 1 1.19388- 4 3.77030- 4 1.30000+ 1 1.60000+ 1 5.04379- 2 9.73900- 5 1.30000+ 1 1.80000+ 1 5.15727- 2 2.05410- 4 1.30000+ 1 1.90000+ 1 5.15962- 2 2.97560- 4 1.30000+ 1 2.10000+ 1 1.98253- 2 4.76500- 4 1.30000+ 1 2.20000+ 1 2.39405- 2 4.93640- 4 1.30000+ 1 2.40000+ 1 1.38139- 1 7.24110- 4 1.30000+ 1 2.50000+ 1 2.12257- 1 7.27730- 4 1.30000+ 1 2.70000+ 1 9.82485- 3 7.01160- 4 1.30000+ 1 2.90000+ 1 7.40851- 3 7.36260- 4 1.30000+ 1 3.00000+ 1 8.02696- 3 7.51860- 4 1.30000+ 1 3.20000+ 1 1.45704- 3 7.98580- 4 1.30000+ 1 3.30000+ 1 1.75710- 3 8.00060- 4 1.30000+ 1 4.10000+ 1 3.88572- 4 8.01530- 4 1.40000+ 1 1.60000+ 1 8.21541- 3 1.80790- 4 1.40000+ 1 1.80000+ 1 5.81320- 2 2.88810- 4 1.40000+ 1 1.90000+ 1 5.14348- 3 3.80960- 4 1.40000+ 1 2.10000+ 1 9.93743- 4 5.59900- 4 1.40000+ 1 2.20000+ 1 2.83558- 3 5.77040- 4 1.40000+ 1 2.40000+ 1 5.36454- 3 8.07510- 4 1.40000+ 1 2.50000+ 1 3.80074- 3 8.11130- 4 1.40000+ 1 2.70000+ 1 1.06368- 3 7.84560- 4 1.40000+ 1 2.90000+ 1 6.63918- 3 8.19660- 4 1.40000+ 1 3.00000+ 1 7.16694- 4 8.35260- 4 1.40000+ 1 3.20000+ 1 4.12007- 5 8.81980- 4 1.40000+ 1 3.30000+ 1 1.78720- 4 8.83460- 4 1.40000+ 1 4.10000+ 1 4.02853- 5 8.84930- 4 1.60000+ 1 1.60000+ 1 7.98382- 4 1.59758- 3 1.60000+ 1 1.80000+ 1 1.14831- 2 1.70560- 3 1.60000+ 1 1.90000+ 1 1.63481- 3 1.79775- 3 1.60000+ 1 2.10000+ 1 3.79907- 4 1.97669- 3 1.60000+ 1 2.20000+ 1 1.34077- 3 1.99383- 3 1.60000+ 1 2.40000+ 1 4.51104- 5 2.22430- 3 1.60000+ 1 2.50000+ 1 9.17953- 4 2.22792- 3 1.60000+ 1 2.70000+ 1 2.40755- 4 2.20135- 3 1.60000+ 1 2.90000+ 1 1.26468- 3 2.23645- 3 1.60000+ 1 3.00000+ 1 2.38040- 4 2.25205- 3 1.60000+ 1 3.20000+ 1 2.06521- 5 2.29877- 3 1.60000+ 1 3.30000+ 1 8.36950- 5 2.30025- 3 1.60000+ 1 4.10000+ 1 9.23914- 6 2.30172- 3 1.80000+ 1 1.80000+ 1 8.77459- 3 1.81362- 3 1.80000+ 1 1.90000+ 1 2.49686- 2 1.90577- 3 1.80000+ 1 2.10000+ 1 2.45505- 2 2.08471- 3 1.80000+ 1 2.20000+ 1 3.93276- 2 2.10185- 3 1.80000+ 1 2.40000+ 1 1.35012- 2 2.33232- 3 1.80000+ 1 2.50000+ 1 2.28191- 2 2.33594- 3 1.80000+ 1 2.70000+ 1 2.22179- 3 2.30937- 3 1.80000+ 1 2.90000+ 1 2.48205- 3 2.34447- 3 1.80000+ 1 3.00000+ 1 3.98366- 3 2.36007- 3 1.80000+ 1 3.20000+ 1 1.76957- 3 2.40679- 3 1.80000+ 1 3.30000+ 1 2.63257- 3 2.40827- 3 1.80000+ 1 4.10000+ 1 8.91306- 5 2.40974- 3 1.90000+ 1 1.90000+ 1 6.80462- 4 1.99792- 3 1.90000+ 1 2.10000+ 1 1.72396- 3 2.17686- 3 1.90000+ 1 2.20000+ 1 1.47236- 3 2.19400- 3 1.90000+ 1 2.40000+ 1 9.40290- 3 2.42447- 3 1.90000+ 1 2.50000+ 1 2.60349- 3 2.42809- 3 1.90000+ 1 2.70000+ 1 2.06529- 4 2.40152- 3 1.90000+ 1 2.90000+ 1 2.80982- 3 2.43662- 3 1.90000+ 1 3.00000+ 1 1.84246- 4 2.45222- 3 1.90000+ 1 3.20000+ 1 1.01633- 4 2.49894- 3 1.90000+ 1 3.30000+ 1 8.80466- 5 2.50042- 3 1.90000+ 1 4.10000+ 1 7.60890- 6 2.50189- 3 2.10000+ 1 2.10000+ 1 8.37533- 4 2.35580- 3 2.10000+ 1 2.20000+ 1 2.16370- 3 2.37294- 3 2.10000+ 1 2.40000+ 1 1.06253- 3 2.60341- 3 2.10000+ 1 2.50000+ 1 1.90276- 3 2.60703- 3 2.10000+ 1 2.70000+ 1 6.90248- 5 2.58046- 3 2.10000+ 1 2.90000+ 1 2.69373- 3 2.61556- 3 2.10000+ 1 3.00000+ 1 2.45114- 4 2.63116- 3 2.10000+ 1 3.20000+ 1 1.01630- 4 2.67788- 3 2.10000+ 1 3.30000+ 1 1.34785- 4 2.67936- 3 2.10000+ 1 4.10000+ 1 2.71744- 6 2.68083- 3 2.20000+ 1 2.20000+ 1 5.33184- 4 2.39008- 3 2.20000+ 1 2.40000+ 1 3.17619- 3 2.62055- 3 2.20000+ 1 2.50000+ 1 7.09806- 4 2.62417- 3 2.20000+ 1 2.70000+ 1 2.07064- 4 2.59760- 3 2.20000+ 1 2.90000+ 1 4.37613- 3 2.63270- 3 2.20000+ 1 3.00000+ 1 1.84241- 4 2.64830- 3 2.20000+ 1 3.20000+ 1 1.33697- 4 2.69502- 3 2.20000+ 1 3.30000+ 1 6.19573- 5 2.69650- 3 2.20000+ 1 4.10000+ 1 8.15229- 6 2.69797- 3 2.40000+ 1 2.40000+ 1 3.14072- 3 2.85102- 3 2.40000+ 1 2.50000+ 1 2.02365- 2 2.85464- 3 2.40000+ 1 2.70000+ 1 3.80403- 6 2.82807- 3 2.40000+ 1 2.90000+ 1 1.37009- 3 2.86317- 3 2.40000+ 1 3.00000+ 1 1.41087- 3 2.87877- 3 2.40000+ 1 3.20000+ 1 8.42405- 5 2.92549- 3 2.40000+ 1 3.30000+ 1 2.35860- 4 2.92697- 3 2.50000+ 1 2.50000+ 1 1.06033- 3 2.85826- 3 2.50000+ 1 2.70000+ 1 1.48914- 4 2.83169- 3 2.50000+ 1 2.90000+ 1 2.28694- 3 2.86679- 3 2.50000+ 1 3.00000+ 1 3.51075- 4 2.88239- 3 2.50000+ 1 3.20000+ 1 1.40220- 4 2.92911- 3 2.50000+ 1 3.30000+ 1 4.94568- 5 2.93059- 3 2.50000+ 1 4.10000+ 1 5.97847- 6 2.93206- 3 2.70000+ 1 2.70000+ 1 2.10294- 5 2.80512- 3 2.70000+ 1 2.90000+ 1 2.88036- 4 2.84022- 3 2.70000+ 1 3.00000+ 1 3.56859- 5 2.85582- 3 2.70000+ 1 3.20000+ 1 3.82338- 6 2.90254- 3 2.70000+ 1 3.30000+ 1 1.52942- 5 2.90402- 3 2.70000+ 1 4.10000+ 1 1.91178- 6 2.90549- 3 2.90000+ 1 2.90000+ 1 2.18182- 4 2.87532- 3 2.90000+ 1 3.00000+ 1 5.91092- 4 2.89092- 3 2.90000+ 1 3.20000+ 1 2.55969- 4 2.93764- 3 2.90000+ 1 3.30000+ 1 3.85727- 4 2.93912- 3 2.90000+ 1 4.10000+ 1 1.28338- 5 2.94059- 3 3.00000+ 1 3.00000+ 1 3.61039- 5 2.90652- 3 3.00000+ 1 3.20000+ 1 4.23823- 5 2.95324- 3 3.00000+ 1 3.30000+ 1 3.13946- 5 2.95472- 3 3.00000+ 1 4.10000+ 1 3.13946- 6 2.95619- 3 3.20000+ 1 3.20000+ 1 2.73623- 6 2.99996- 3 3.20000+ 1 3.30000+ 1 8.75580- 6 3.00144- 3 3.30000+ 1 3.30000+ 1 3.98326- 6 3.00292- 3 3.30000+ 1 4.10000+ 1 1.32775- 6 3.00439- 3 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.57760- 5 4.24500- 4 1.40000+ 1 2.56180- 4 5.07900- 4 1.60000+ 1 1.19760- 3 1.92469- 3 2.10000+ 1 5.84899- 4 2.30380- 3 2.20000+ 1 4.55569- 3 2.32094- 3 2.70000+ 1 2.36910- 4 2.52846- 3 3.20000+ 1 4.95819- 5 2.62588- 3 3.30000+ 1 3.78290- 4 2.62736- 3 4.10000+ 1 1.00340- 5 2.62883- 3 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.10000+ 1 9.80425- 3 9.14000- 5 1.30000+ 1 2.20000+ 1 9.87899- 3 1.08540- 4 1.30000+ 1 2.40000+ 1 1.50573- 2 3.39010- 4 1.30000+ 1 2.50000+ 1 2.19628- 2 3.42630- 4 1.30000+ 1 2.70000+ 1 2.25692- 3 3.16060- 4 1.30000+ 1 2.90000+ 1 1.83003- 3 3.51160- 4 1.30000+ 1 3.00000+ 1 6.19012- 3 3.66760- 4 1.30000+ 1 3.20000+ 1 6.05970- 4 4.13480- 4 1.30000+ 1 3.30000+ 1 5.87997- 4 4.14960- 4 1.30000+ 1 4.10000+ 1 8.75813- 5 4.16430- 4 1.40000+ 1 1.90000+ 1 1.10581- 1 0.00000+ 0 1.40000+ 1 2.10000+ 1 4.38365- 2 1.74800- 4 1.40000+ 1 2.20000+ 1 6.03087- 2 1.91940- 4 1.40000+ 1 2.40000+ 1 1.57973- 1 4.22410- 4 1.40000+ 1 2.50000+ 1 1.90593- 1 4.26030- 4 1.40000+ 1 2.70000+ 1 1.33691- 2 3.99460- 4 1.40000+ 1 2.90000+ 1 1.23858- 2 4.34560- 4 1.40000+ 1 3.00000+ 1 1.57493- 2 4.50160- 4 1.40000+ 1 3.20000+ 1 2.70496- 3 4.96880- 4 1.40000+ 1 3.30000+ 1 3.70017- 3 4.98360- 4 1.40000+ 1 4.10000+ 1 5.27565- 4 4.99830- 4 1.60000+ 1 1.60000+ 1 4.38596- 4 1.21248- 3 1.60000+ 1 1.80000+ 1 7.94866- 4 1.32050- 3 1.60000+ 1 1.90000+ 1 1.38529- 2 1.41265- 3 1.60000+ 1 2.10000+ 1 8.17311- 4 1.59159- 3 1.60000+ 1 2.20000+ 1 9.50851- 4 1.60873- 3 1.60000+ 1 2.40000+ 1 1.52356- 3 1.83920- 3 1.60000+ 1 2.50000+ 1 2.58483- 3 1.84282- 3 1.60000+ 1 2.70000+ 1 1.31808- 4 1.81625- 3 1.60000+ 1 2.90000+ 1 1.01303- 4 1.85135- 3 1.60000+ 1 3.00000+ 1 1.48844- 3 1.86695- 3 1.60000+ 1 3.20000+ 1 5.29517- 5 1.91367- 3 1.60000+ 1 3.30000+ 1 5.64062- 5 1.91515- 3 1.60000+ 1 4.10000+ 1 5.18011- 6 1.91662- 3 1.80000+ 1 1.80000+ 1 5.06507- 5 1.42852- 3 1.80000+ 1 1.90000+ 1 1.69089- 2 1.52067- 3 1.80000+ 1 2.10000+ 1 3.70077- 4 1.69961- 3 1.80000+ 1 2.20000+ 1 3.42422- 3 1.71675- 3 1.80000+ 1 2.40000+ 1 1.59204- 3 1.94722- 3 1.80000+ 1 2.50000+ 1 8.88256- 3 1.95084- 3 1.80000+ 1 2.70000+ 1 1.08211- 4 1.92427- 3 1.80000+ 1 2.90000+ 1 1.20870- 5 1.95937- 3 1.80000+ 1 3.00000+ 1 1.84759- 3 1.97497- 3 1.80000+ 1 3.20000+ 1 2.47499- 5 2.02169- 3 1.80000+ 1 3.30000+ 1 1.92821- 4 2.02317- 3 1.80000+ 1 4.10000+ 1 4.02895- 6 2.02464- 3 1.90000+ 1 1.90000+ 1 2.26530- 2 1.61282- 3 1.90000+ 1 2.10000+ 1 3.25713- 2 1.79176- 3 1.90000+ 1 2.20000+ 1 4.27762- 2 1.80890- 3 1.90000+ 1 2.40000+ 1 2.60148- 2 2.03937- 3 1.90000+ 1 2.50000+ 1 2.97820- 2 2.04299- 3 1.90000+ 1 2.70000+ 1 2.62871- 3 2.01642- 3 1.90000+ 1 2.90000+ 1 2.78876- 3 2.05152- 3 1.90000+ 1 3.00000+ 1 6.05749- 3 2.06712- 3 1.90000+ 1 3.20000+ 1 2.28284- 3 2.11384- 3 1.90000+ 1 3.30000+ 1 2.83943- 3 2.11532- 3 1.90000+ 1 4.10000+ 1 1.05335- 4 2.11679- 3 2.10000+ 1 2.10000+ 1 2.11236- 4 1.97070- 3 2.10000+ 1 2.20000+ 1 4.92297- 3 1.98784- 3 2.10000+ 1 2.40000+ 1 6.78589- 4 2.21831- 3 2.10000+ 1 2.50000+ 1 8.06944- 3 2.22193- 3 2.10000+ 1 2.70000+ 1 9.43940- 5 2.19536- 3 2.10000+ 1 2.90000+ 1 2.76267- 5 2.23046- 3 2.10000+ 1 3.00000+ 1 3.50755- 3 2.24606- 3 2.10000+ 1 3.20000+ 1 2.47498- 5 2.29278- 3 2.10000+ 1 3.30000+ 1 2.92961- 4 2.29426- 3 2.10000+ 1 4.10000+ 1 3.45358- 6 2.29573- 3 2.20000+ 1 2.20000+ 1 2.20736- 3 2.00498- 3 2.20000+ 1 2.40000+ 1 6.55600- 3 2.23545- 3 2.20000+ 1 2.50000+ 1 5.53194- 3 2.23907- 3 2.20000+ 1 2.70000+ 1 1.12242- 4 2.21250- 3 2.20000+ 1 2.90000+ 1 3.16578- 4 2.24760- 3 2.20000+ 1 3.00000+ 1 4.55427- 3 2.26320- 3 2.20000+ 1 3.20000+ 1 3.08527- 4 2.30992- 3 2.20000+ 1 3.30000+ 1 2.63042- 4 2.31140- 3 2.20000+ 1 4.10000+ 1 4.02910- 6 2.31287- 3 2.40000+ 1 2.40000+ 1 9.53769- 4 2.46592- 3 2.40000+ 1 2.50000+ 1 2.53876- 2 2.46954- 3 2.40000+ 1 2.70000+ 1 1.62317- 4 2.44297- 3 2.40000+ 1 2.90000+ 1 2.19866- 4 2.47807- 3 2.40000+ 1 3.00000+ 1 2.67254- 3 2.49367- 3 2.40000+ 1 3.20000+ 1 5.46795- 5 2.54039- 3 2.40000+ 1 3.30000+ 1 4.13844- 4 2.54187- 3 2.40000+ 1 4.10000+ 1 6.33170- 6 2.54334- 3 2.50000+ 1 2.50000+ 1 9.98745- 3 2.47316- 3 2.50000+ 1 2.70000+ 1 2.31957- 4 2.44659- 3 2.50000+ 1 2.90000+ 1 1.22368- 3 2.48169- 3 2.50000+ 1 3.00000+ 1 3.16564- 3 2.49729- 3 2.50000+ 1 3.20000+ 1 5.62357- 4 2.54401- 3 2.50000+ 1 3.30000+ 1 3.75260- 4 2.54549- 3 2.50000+ 1 4.10000+ 1 8.63363- 6 2.54696- 3 2.70000+ 1 2.70000+ 1 1.51103- 5 2.42002- 3 2.70000+ 1 2.90000+ 1 1.98818- 5 2.45512- 3 2.70000+ 1 3.00000+ 1 3.90451- 4 2.47072- 3 2.70000+ 1 3.20000+ 1 8.74824- 6 2.51744- 3 2.70000+ 1 3.30000+ 1 9.54320- 6 2.51892- 3 2.70000+ 1 4.10000+ 1 7.95298- 7 2.52039- 3 2.90000+ 1 2.90000+ 1 8.13549- 7 2.49022- 3 2.90000+ 1 3.00000+ 1 4.32779- 4 2.50582- 3 2.90000+ 1 3.20000+ 1 2.44058- 6 2.55254- 3 2.90000+ 1 3.30000+ 1 2.60325- 5 2.55402- 3 2.90000+ 1 4.10000+ 1 8.13549- 7 2.55549- 3 3.00000+ 1 3.00000+ 1 8.01678- 4 2.52142- 3 3.00000+ 1 3.20000+ 1 5.08725- 4 2.56814- 3 3.00000+ 1 3.30000+ 1 6.24977- 4 2.56962- 3 3.00000+ 1 4.10000+ 1 2.37180- 5 2.57109- 3 3.20000+ 1 3.20000+ 1 5.93215- 7 2.61486- 3 3.20000+ 1 3.30000+ 1 2.01688- 5 2.61634- 3 3.30000+ 1 3.30000+ 1 6.94159- 6 2.61782- 3 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.05439- 3 1.60821- 3 1.90000+ 1 2.09139- 4 1.70036- 3 2.40000+ 1 2.46219- 2 2.12691- 3 2.90000+ 1 5.00568- 4 2.13906- 3 3.00000+ 1 5.17158- 5 2.15466- 3 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 3.22710- 2 0.00000+ 0 1.40000+ 1 2.50000+ 1 7.07838- 3 1.53000- 6 1.40000+ 1 2.90000+ 1 1.88360- 3 1.00600- 5 1.40000+ 1 3.00000+ 1 6.26401- 3 2.56600- 5 1.40000+ 1 3.20000+ 1 2.84571- 2 7.23800- 5 1.40000+ 1 3.30000+ 1 3.80847- 3 7.38600- 5 1.40000+ 1 4.10000+ 1 2.23044- 4 7.53300- 5 1.60000+ 1 1.60000+ 1 3.25413- 5 7.87980- 4 1.60000+ 1 1.80000+ 1 1.38425- 3 8.96000- 4 1.60000+ 1 1.90000+ 1 1.01624- 3 9.88150- 4 1.60000+ 1 2.10000+ 1 3.76312- 2 1.16709- 3 1.60000+ 1 2.20000+ 1 4.36182- 3 1.18423- 3 1.60000+ 1 2.40000+ 1 1.51737- 2 1.41470- 3 1.60000+ 1 2.50000+ 1 4.37178- 3 1.41832- 3 1.60000+ 1 2.70000+ 1 2.12765- 5 1.39175- 3 1.60000+ 1 2.90000+ 1 1.83988- 4 1.42685- 3 1.60000+ 1 3.00000+ 1 1.10142- 4 1.44245- 3 1.60000+ 1 3.20000+ 1 1.96382- 3 1.48917- 3 1.60000+ 1 3.30000+ 1 2.22783- 4 1.49065- 3 1.60000+ 1 4.10000+ 1 1.25165- 6 1.49212- 3 1.80000+ 1 1.80000+ 1 8.17310- 4 1.00402- 3 1.80000+ 1 1.90000+ 1 5.19162- 3 1.09617- 3 1.80000+ 1 2.10000+ 1 3.34679- 2 1.27511- 3 1.80000+ 1 2.20000+ 1 2.47443- 3 1.29225- 3 1.80000+ 1 2.40000+ 1 9.69240- 3 1.52272- 3 1.80000+ 1 2.50000+ 1 4.81634- 3 1.52634- 3 1.80000+ 1 2.70000+ 1 1.76477- 4 1.49977- 3 1.80000+ 1 2.90000+ 1 2.17779- 4 1.53487- 3 1.80000+ 1 3.00000+ 1 6.24543- 4 1.55047- 3 1.80000+ 1 3.20000+ 1 1.73476- 3 1.59719- 3 1.80000+ 1 3.30000+ 1 1.43935- 4 1.59867- 3 1.80000+ 1 4.10000+ 1 6.25782- 6 1.60014- 3 1.90000+ 1 1.90000+ 1 1.84609- 3 1.18832- 3 1.90000+ 1 2.10000+ 1 6.81056- 2 1.36726- 3 1.90000+ 1 2.20000+ 1 2.57325- 3 1.38440- 3 1.90000+ 1 2.40000+ 1 3.78351- 3 1.61487- 3 1.90000+ 1 2.50000+ 1 2.28408- 3 1.61849- 3 1.90000+ 1 2.70000+ 1 1.48936- 4 1.59192- 3 1.90000+ 1 2.90000+ 1 5.69465- 4 1.62702- 3 1.90000+ 1 3.00000+ 1 4.25533- 4 1.64262- 3 1.90000+ 1 3.20000+ 1 3.56451- 3 1.68934- 3 1.90000+ 1 3.30000+ 1 1.36420- 4 1.69082- 3 1.90000+ 1 4.10000+ 1 6.25769- 6 1.69229- 3 2.10000+ 1 2.10000+ 1 6.02420- 2 1.54620- 3 2.10000+ 1 2.20000+ 1 1.20141- 1 1.56334- 3 2.10000+ 1 2.40000+ 1 5.96206- 2 1.79381- 3 2.10000+ 1 2.50000+ 1 7.28621- 2 1.79743- 3 2.10000+ 1 2.70000+ 1 6.60737- 3 1.77086- 3 2.10000+ 1 2.90000+ 1 5.55951- 3 1.80596- 3 2.10000+ 1 3.00000+ 1 1.05833- 2 1.82156- 3 2.10000+ 1 3.20000+ 1 7.41822- 3 1.86828- 3 2.10000+ 1 3.30000+ 1 7.88149- 3 1.86976- 3 2.10000+ 1 4.10000+ 1 2.62837- 4 1.87123- 3 2.20000+ 1 2.20000+ 1 1.93250- 3 1.58048- 3 2.20000+ 1 2.40000+ 1 6.57459- 2 1.81095- 3 2.20000+ 1 2.50000+ 1 3.40304- 3 1.81457- 3 2.20000+ 1 2.70000+ 1 4.25536- 4 1.78800- 3 2.20000+ 1 2.90000+ 1 2.65332- 4 1.82310- 3 2.20000+ 1 3.00000+ 1 3.26660- 4 1.83870- 3 2.20000+ 1 3.20000+ 1 6.32167- 3 1.88542- 3 2.20000+ 1 3.30000+ 1 2.12764- 4 1.88690- 3 2.20000+ 1 4.10000+ 1 1.62702- 5 1.88837- 3 2.40000+ 1 2.40000+ 1 5.88574- 2 2.04142- 3 2.40000+ 1 2.50000+ 1 1.70710- 1 2.04504- 3 2.40000+ 1 2.70000+ 1 2.77985- 3 2.01847- 3 2.40000+ 1 2.90000+ 1 1.33918- 3 2.05357- 3 2.40000+ 1 3.00000+ 1 5.95754- 4 2.06917- 3 2.40000+ 1 3.20000+ 1 3.33052- 3 2.11589- 3 2.40000+ 1 3.30000+ 1 4.13654- 3 2.11737- 3 2.40000+ 1 4.10000+ 1 1.10144- 4 2.11884- 3 2.50000+ 1 2.50000+ 1 3.37681- 3 2.04866- 3 2.50000+ 1 2.70000+ 1 5.41641- 4 2.02209- 3 2.50000+ 1 2.90000+ 1 3.46613- 4 2.05719- 3 2.50000+ 1 3.00000+ 1 3.04314- 4 2.07279- 3 2.50000+ 1 3.20000+ 1 3.34627- 3 2.11951- 3 2.50000+ 1 3.30000+ 1 1.90340- 4 2.12099- 3 2.50000+ 1 4.10000+ 1 1.99735- 5 2.12246- 3 2.70000+ 1 2.70000+ 1 3.66386- 6 1.99552- 3 2.70000+ 1 2.90000+ 1 3.66386- 5 2.03062- 3 2.70000+ 1 3.00000+ 1 2.38142- 5 2.04622- 3 2.70000+ 1 3.20000+ 1 5.07435- 4 2.09294- 3 2.70000+ 1 3.30000+ 1 3.48053- 5 2.09442- 3 2.90000+ 1 2.90000+ 1 3.16681- 5 2.06572- 3 2.90000+ 1 3.00000+ 1 1.53065- 4 2.08132- 3 2.90000+ 1 3.20000+ 1 6.09627- 4 2.12804- 3 2.90000+ 1 3.30000+ 1 3.43073- 5 2.12952- 3 2.90000+ 1 4.10000+ 1 2.63922- 6 2.13099- 3 3.00000+ 1 3.00000+ 1 5.92719- 5 2.09692- 3 3.00000+ 1 3.20000+ 1 1.31880- 3 2.14364- 3 3.00000+ 1 3.30000+ 1 4.44543- 5 2.14512- 3 3.00000+ 1 4.10000+ 1 2.96370- 6 2.14659- 3 3.20000+ 1 3.20000+ 1 2.03808- 4 2.19036- 3 3.20000+ 1 3.30000+ 1 3.94585- 4 2.19184- 3 3.20000+ 1 4.10000+ 1 1.30349- 5 2.19331- 3 3.30000+ 1 3.30000+ 1 5.72549- 6 2.19332- 3 3.30000+ 1 4.10000+ 1 1.14518- 6 2.19479- 3 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.66310- 3 1.61696- 3 2.40000+ 1 1.26290- 3 2.04351- 3 2.50000+ 1 2.46420- 2 2.04713- 3 3.00000+ 1 4.35831- 4 2.07126- 3 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.30047- 6 7.04580- 4 1.60000+ 1 1.80000+ 1 3.00394- 4 8.12600- 4 1.60000+ 1 1.90000+ 1 2.40452- 3 9.04750- 4 1.60000+ 1 2.10000+ 1 3.81280- 3 1.08369- 3 1.60000+ 1 2.20000+ 1 4.20922- 2 1.10083- 3 1.60000+ 1 2.40000+ 1 4.60078- 3 1.33130- 3 1.60000+ 1 2.50000+ 1 1.66514- 2 1.33492- 3 1.60000+ 1 2.70000+ 1 1.30047- 5 1.30835- 3 1.60000+ 1 2.90000+ 1 1.69053- 5 1.34345- 3 1.60000+ 1 3.00000+ 1 2.70488- 4 1.35905- 3 1.60000+ 1 3.20000+ 1 1.96360- 4 1.40577- 3 1.60000+ 1 3.30000+ 1 2.07291- 3 1.40725- 3 1.80000+ 1 1.80000+ 1 1.30047- 6 9.20620- 4 1.80000+ 1 1.90000+ 1 6.30544- 3 1.01277- 3 1.80000+ 1 2.10000+ 1 3.23799- 4 1.19171- 3 1.80000+ 1 2.20000+ 1 4.32969- 2 1.20885- 3 1.80000+ 1 2.40000+ 1 2.24972- 3 1.43932- 3 1.80000+ 1 2.50000+ 1 8.66865- 3 1.44294- 3 1.80000+ 1 2.70000+ 1 3.64117- 5 1.41637- 3 1.80000+ 1 2.90000+ 1 2.60074- 6 1.45147- 3 1.80000+ 1 3.00000+ 1 7.04802- 4 1.46707- 3 1.80000+ 1 3.20000+ 1 7.80224- 6 1.51379- 3 1.80000+ 1 3.30000+ 1 2.13533- 3 1.51527- 3 1.80000+ 1 4.10000+ 1 1.30047- 6 1.51674- 3 1.90000+ 1 1.90000+ 1 4.44347- 3 1.10492- 3 1.90000+ 1 2.10000+ 1 4.03379- 3 1.28386- 3 1.90000+ 1 2.20000+ 1 6.60886- 2 1.30100- 3 1.90000+ 1 2.40000+ 1 2.59815- 3 1.53147- 3 1.90000+ 1 2.50000+ 1 5.28887- 3 1.53509- 3 1.90000+ 1 2.70000+ 1 3.64116- 4 1.50852- 3 1.90000+ 1 2.90000+ 1 6.69726- 4 1.54362- 3 1.90000+ 1 3.00000+ 1 1.02729- 3 1.55922- 3 1.90000+ 1 3.20000+ 1 2.47072- 4 1.60594- 3 1.90000+ 1 3.30000+ 1 3.24972- 3 1.60742- 3 1.90000+ 1 4.10000+ 1 1.43037- 5 1.60889- 3 2.10000+ 1 2.10000+ 1 8.71240- 4 1.46280- 3 2.10000+ 1 2.20000+ 1 8.99772- 2 1.47994- 3 2.10000+ 1 2.40000+ 1 3.05206- 3 1.71041- 3 2.10000+ 1 2.50000+ 1 4.16416- 2 1.71403- 3 2.10000+ 1 2.70000+ 1 3.55003- 4 1.68746- 3 2.10000+ 1 2.90000+ 1 5.85176- 5 1.72256- 3 2.10000+ 1 3.00000+ 1 4.65535- 4 1.73816- 3 2.10000+ 1 3.20000+ 1 9.88314- 5 1.78488- 3 2.10000+ 1 3.30000+ 1 4.47715- 3 1.78636- 3 2.10000+ 1 4.10000+ 1 1.30044- 5 1.78783- 3 2.20000+ 1 2.20000+ 1 1.00996- 1 1.49708- 3 2.20000+ 1 2.40000+ 1 6.72978- 2 1.72755- 3 2.20000+ 1 2.50000+ 1 1.05973- 1 1.73117- 3 2.20000+ 1 2.70000+ 1 7.12101- 3 1.70460- 3 2.20000+ 1 2.90000+ 1 6.89842- 3 1.73970- 3 2.20000+ 1 3.00000+ 1 1.03465- 2 1.75530- 3 2.20000+ 1 3.20000+ 1 6.23270- 3 1.80202- 3 2.20000+ 1 3.30000+ 1 1.16526- 2 1.80350- 3 2.20000+ 1 4.10000+ 1 2.82182- 4 1.80497- 3 2.40000+ 1 2.40000+ 1 4.89099- 3 1.95802- 3 2.40000+ 1 2.50000+ 1 1.56396- 1 1.96164- 3 2.40000+ 1 2.70000+ 1 6.51548- 4 1.93507- 3 2.40000+ 1 2.90000+ 1 3.34216- 4 1.97017- 3 2.40000+ 1 3.00000+ 1 3.34216- 4 1.98577- 3 2.40000+ 1 3.20000+ 1 2.05468- 4 2.03249- 3 2.40000+ 1 3.30000+ 1 3.18356- 3 2.03397- 3 2.40000+ 1 4.10000+ 1 2.47083- 5 2.03544- 3 2.50000+ 1 2.50000+ 1 1.06911- 1 1.96526- 3 2.50000+ 1 2.70000+ 1 2.96984- 3 1.93869- 3 2.50000+ 1 2.90000+ 1 1.39263- 3 1.97379- 3 2.50000+ 1 3.00000+ 1 7.85354- 4 1.98939- 3 2.50000+ 1 3.20000+ 1 2.73192- 3 2.03611- 3 2.50000+ 1 3.30000+ 1 5.71091- 3 2.03759- 3 2.50000+ 1 4.10000+ 1 1.18330- 4 2.03906- 3 2.70000+ 1 2.70000+ 1 2.31530- 6 1.91212- 3 2.70000+ 1 2.90000+ 1 4.63026- 6 1.94722- 3 2.70000+ 1 3.00000+ 1 7.63999- 5 1.96282- 3 2.70000+ 1 3.20000+ 1 3.70436- 5 2.00954- 3 2.70000+ 1 3.30000+ 1 6.29722- 4 2.01102- 3 2.90000+ 1 3.00000+ 1 1.34213- 4 1.99792- 3 2.90000+ 1 3.20000+ 1 2.20026- 6 2.04464- 3 2.90000+ 1 3.30000+ 1 5.83038- 4 2.04612- 3 3.00000+ 1 3.00000+ 1 1.24833- 4 2.01352- 3 3.00000+ 1 3.20000+ 1 6.24163- 5 2.06024- 3 3.00000+ 1 3.30000+ 1 1.06654- 3 2.06172- 3 3.00000+ 1 4.10000+ 1 2.71391- 6 2.06319- 3 3.20000+ 1 3.20000+ 1 2.38617- 6 2.10696- 3 3.20000+ 1 3.30000+ 1 2.86351- 4 2.10844- 3 3.20000+ 1 4.10000+ 1 1.19317- 6 2.10991- 3 3.30000+ 1 3.30000+ 1 3.22497- 4 2.10992- 3 3.30000+ 1 4.10000+ 1 1.43039- 5 2.11139- 3 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.89024- 5 1.08020- 4 1.90000+ 1 2.55826- 4 2.00170- 4 2.90000+ 1 1.51326- 4 6.38870- 4 3.00000+ 1 6.97940- 5 6.54470- 4 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 9.10387- 3 2.25300- 5 1.80000+ 1 2.50000+ 1 2.78534- 3 2.61500- 5 1.80000+ 1 2.70000+ 1 3.20569- 2 0.00000+ 0 1.80000+ 1 2.90000+ 1 2.81925- 2 3.46800- 5 1.80000+ 1 3.00000+ 1 4.82866- 2 5.02800- 5 1.80000+ 1 3.20000+ 1 2.17511- 2 9.70000- 5 1.80000+ 1 3.30000+ 1 3.53215- 2 9.84800- 5 1.80000+ 1 4.10000+ 1 1.20478- 3 9.99500- 5 1.90000+ 1 2.40000+ 1 9.32031- 2 1.14680- 4 1.90000+ 1 2.50000+ 1 1.21300- 1 1.18300- 4 1.90000+ 1 2.70000+ 1 4.07270- 2 9.17300- 5 1.90000+ 1 2.90000+ 1 4.60864- 2 1.26830- 4 1.90000+ 1 3.00000+ 1 5.01072- 2 1.42430- 4 1.90000+ 1 3.20000+ 1 2.89842- 2 1.89150- 4 1.90000+ 1 3.30000+ 1 3.39649- 2 1.90630- 4 1.90000+ 1 4.10000+ 1 1.61346- 3 1.92100- 4 2.10000+ 1 2.10000+ 1 4.07217- 3 4.60100- 5 2.10000+ 1 2.20000+ 1 6.49386- 3 6.31500- 5 2.10000+ 1 2.40000+ 1 4.67887- 3 2.93620- 4 2.10000+ 1 2.50000+ 1 9.18958- 3 2.97240- 4 2.10000+ 1 2.70000+ 1 1.62720- 2 2.70670- 4 2.10000+ 1 2.90000+ 1 4.47270- 3 3.05770- 4 2.10000+ 1 3.00000+ 1 7.88080- 3 3.21370- 4 2.10000+ 1 3.20000+ 1 1.09269- 3 3.68090- 4 2.10000+ 1 3.30000+ 1 9.86886- 4 3.69570- 4 2.10000+ 1 4.10000+ 1 5.10307- 4 3.71040- 4 2.20000+ 1 2.20000+ 1 6.44850- 3 8.02900- 5 2.20000+ 1 2.40000+ 1 1.03320- 2 3.10760- 4 2.20000+ 1 2.50000+ 1 9.83709- 3 3.14380- 4 2.20000+ 1 2.70000+ 1 2.26529- 2 2.87810- 4 2.20000+ 1 2.90000+ 1 8.92411- 3 3.22910- 4 2.20000+ 1 3.00000+ 1 7.92435- 3 3.38510- 4 2.20000+ 1 3.20000+ 1 8.83269- 4 3.85230- 4 2.20000+ 1 3.30000+ 1 1.50155- 3 3.86710- 4 2.20000+ 1 4.10000+ 1 7.08224- 4 3.88180- 4 2.40000+ 1 2.40000+ 1 8.17373- 3 5.41230- 4 2.40000+ 1 2.50000+ 1 1.69747- 2 5.44850- 4 2.40000+ 1 2.70000+ 1 1.85459- 2 5.18280- 4 2.40000+ 1 2.90000+ 1 2.40509- 3 5.53380- 4 2.40000+ 1 3.00000+ 1 7.50498- 3 5.68980- 4 2.40000+ 1 3.20000+ 1 4.70778- 4 6.15700- 4 2.40000+ 1 3.30000+ 1 3.11031- 4 6.17180- 4 2.40000+ 1 4.10000+ 1 5.24526- 4 6.18650- 4 2.50000+ 1 2.50000+ 1 1.37000- 2 5.48470- 4 2.50000+ 1 2.70000+ 1 2.42723- 2 5.21900- 4 2.50000+ 1 2.90000+ 1 1.35070- 3 5.57000- 4 2.50000+ 1 3.00000+ 1 8.92431- 3 5.72600- 4 2.50000+ 1 3.20000+ 1 2.93163- 4 6.19320- 4 2.50000+ 1 3.30000+ 1 6.79268- 4 6.20800- 4 2.50000+ 1 4.10000+ 1 6.84998- 4 6.22270- 4 2.70000+ 1 2.70000+ 1 1.80528- 2 4.95330- 4 2.70000+ 1 2.90000+ 1 2.43012- 2 5.30430- 4 2.70000+ 1 3.00000+ 1 3.90847- 2 5.46030- 4 2.70000+ 1 3.20000+ 1 1.98972- 2 5.92750- 4 2.70000+ 1 3.30000+ 1 2.64891- 2 5.94230- 4 2.70000+ 1 4.10000+ 1 1.24686- 3 5.95700- 4 2.90000+ 1 2.90000+ 1 2.84792- 3 5.65530- 4 2.90000+ 1 3.00000+ 1 1.17196- 2 5.81130- 4 2.90000+ 1 3.20000+ 1 2.71448- 3 6.27850- 4 2.90000+ 1 3.30000+ 1 2.39558- 3 6.29330- 4 2.90000+ 1 4.10000+ 1 1.02978- 3 6.30800- 4 3.00000+ 1 3.00000+ 1 8.65919- 3 5.96730- 4 3.00000+ 1 3.20000+ 1 3.09716- 3 6.43450- 4 3.00000+ 1 3.30000+ 1 5.11492- 3 6.44930- 4 3.00000+ 1 4.10000+ 1 1.73002- 3 6.46400- 4 3.20000+ 1 3.20000+ 1 5.33602- 4 6.90170- 4 3.20000+ 1 3.30000+ 1 1.66828- 3 6.91650- 4 3.20000+ 1 4.10000+ 1 1.20827- 3 6.93120- 4 3.30000+ 1 3.30000+ 1 1.29162- 3 6.93130- 4 3.30000+ 1 4.10000+ 1 2.05553- 3 6.94600- 4 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 8.27299- 4 2.71090- 4 2.70000+ 1 1.76511- 4 4.95750- 4 3.20000+ 1 1.72545- 5 5.93170- 4 4.10000+ 1 7.45710- 6 5.96120- 4 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 1.25194- 2 6.66000- 6 1.90000+ 1 2.50000+ 1 1.53697- 2 1.02800- 5 1.90000+ 1 2.90000+ 1 1.28106- 2 1.88100- 5 1.90000+ 1 3.00000+ 1 1.52272- 2 3.44100- 5 1.90000+ 1 3.20000+ 1 4.29104- 3 8.11300- 5 1.90000+ 1 3.30000+ 1 6.44390- 3 8.26100- 5 1.90000+ 1 4.10000+ 1 5.66728- 4 8.40800- 5 2.10000+ 1 2.40000+ 1 1.47159- 1 1.85600- 4 2.10000+ 1 2.50000+ 1 3.21071- 1 1.89220- 4 2.10000+ 1 2.70000+ 1 3.70360- 2 1.62650- 4 2.10000+ 1 2.90000+ 1 2.80909- 2 1.97750- 4 2.10000+ 1 3.00000+ 1 4.21391- 2 2.13350- 4 2.10000+ 1 3.20000+ 1 1.39633- 2 2.60070- 4 2.10000+ 1 3.30000+ 1 2.31886- 2 2.61550- 4 2.10000+ 1 4.10000+ 1 1.45974- 3 2.63020- 4 2.20000+ 1 2.40000+ 1 4.48969- 2 2.02740- 4 2.20000+ 1 2.50000+ 1 1.14836- 2 2.06360- 4 2.20000+ 1 2.70000+ 1 6.18203- 3 1.79790- 4 2.20000+ 1 2.90000+ 1 2.53110- 2 2.14890- 4 2.20000+ 1 3.00000+ 1 5.33733- 3 2.30490- 4 2.20000+ 1 3.20000+ 1 1.93462- 3 2.77210- 4 2.20000+ 1 3.30000+ 1 1.45441- 3 2.78690- 4 2.20000+ 1 4.10000+ 1 2.00105- 4 2.80160- 4 2.40000+ 1 2.40000+ 1 2.98500- 3 4.33210- 4 2.40000+ 1 2.50000+ 1 2.00112- 2 4.36830- 4 2.40000+ 1 2.70000+ 1 4.38597- 3 4.10260- 4 2.40000+ 1 2.90000+ 1 1.87487- 2 4.45360- 4 2.40000+ 1 3.00000+ 1 3.91355- 3 4.60960- 4 2.40000+ 1 3.20000+ 1 2.97814- 3 5.07680- 4 2.40000+ 1 3.30000+ 1 1.29637- 3 5.09160- 4 2.40000+ 1 4.10000+ 1 1.74872- 4 5.10630- 4 2.50000+ 1 2.50000+ 1 1.01698- 3 4.40450- 4 2.50000+ 1 2.70000+ 1 3.10101- 3 4.13880- 4 2.50000+ 1 2.90000+ 1 3.71607- 2 4.48980- 4 2.50000+ 1 3.00000+ 1 2.28512- 3 4.64580- 4 2.50000+ 1 3.20000+ 1 7.34512- 3 5.11300- 4 2.50000+ 1 3.30000+ 1 5.60330- 4 5.12780- 4 2.50000+ 1 4.10000+ 1 1.00646- 4 5.14250- 4 2.70000+ 1 2.70000+ 1 7.53164- 4 3.87310- 4 2.70000+ 1 2.90000+ 1 1.06007- 2 4.22410- 4 2.70000+ 1 3.00000+ 1 1.89612- 3 4.38010- 4 2.70000+ 1 3.20000+ 1 1.57494- 3 4.84730- 4 2.70000+ 1 3.30000+ 1 1.02058- 3 4.86210- 4 2.70000+ 1 4.10000+ 1 4.91469- 5 4.87680- 4 2.90000+ 1 2.90000+ 1 1.38579- 2 4.57510- 4 2.90000+ 1 3.00000+ 1 3.69255- 2 4.73110- 4 2.90000+ 1 3.20000+ 1 1.54231- 2 5.19830- 4 2.90000+ 1 3.30000+ 1 2.49384- 2 5.21310- 4 2.90000+ 1 4.10000+ 1 9.18100- 4 5.22780- 4 3.00000+ 1 3.00000+ 1 1.42349- 3 4.88710- 4 3.00000+ 1 3.20000+ 1 3.75378- 3 5.35430- 4 3.00000+ 1 3.30000+ 1 1.30146- 3 5.36910- 4 3.00000+ 1 4.10000+ 1 1.22022- 4 5.38380- 4 3.20000+ 1 3.20000+ 1 5.82354- 5 5.82150- 4 3.20000+ 1 3.30000+ 1 1.14868- 4 5.83630- 4 3.20000+ 1 4.10000+ 1 1.08431- 5 5.85100- 4 3.30000+ 1 3.30000+ 1 2.18608- 5 5.85110- 4 3.30000+ 1 4.10000+ 1 8.08557- 6 5.86580- 4 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.69027- 5 1.78940- 4 2.20000+ 1 1.98271- 4 1.96080- 4 2.70000+ 1 1.43893- 4 4.03600- 4 3.20000+ 1 5.01732- 6 5.01020- 4 3.30000+ 1 2.80724- 5 5.02500- 4 4.10000+ 1 6.20823- 6 5.03970- 4 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 1.08676- 2 9.34500- 5 2.10000+ 1 2.50000+ 1 2.71990- 2 9.70700- 5 2.10000+ 1 2.70000+ 1 1.52251- 2 7.05000- 5 2.10000+ 1 2.90000+ 1 1.20053- 2 1.05600- 4 2.10000+ 1 3.00000+ 1 3.93772- 2 1.21200- 4 2.10000+ 1 3.20000+ 1 6.48180- 3 1.67920- 4 2.10000+ 1 3.30000+ 1 1.15724- 2 1.69400- 4 2.10000+ 1 4.10000+ 1 5.70623- 4 1.70870- 4 2.20000+ 1 2.40000+ 1 1.47400- 1 1.10590- 4 2.20000+ 1 2.50000+ 1 1.69614- 1 1.14210- 4 2.20000+ 1 2.70000+ 1 7.55483- 2 8.76400- 5 2.20000+ 1 2.90000+ 1 7.97330- 2 1.22740- 4 2.20000+ 1 3.00000+ 1 1.02098- 1 1.38340- 4 2.20000+ 1 3.20000+ 1 5.06133- 2 1.85060- 4 2.20000+ 1 3.30000+ 1 5.63813- 2 1.86540- 4 2.20000+ 1 4.10000+ 1 3.08641- 3 1.88010- 4 2.40000+ 1 2.40000+ 1 7.66590- 4 3.41060- 4 2.40000+ 1 2.50000+ 1 1.79565- 2 3.44680- 4 2.40000+ 1 2.70000+ 1 6.02336- 3 3.18110- 4 2.40000+ 1 2.90000+ 1 2.98047- 3 3.53210- 4 2.40000+ 1 3.00000+ 1 3.97248- 2 3.68810- 4 2.40000+ 1 3.20000+ 1 7.21982- 4 4.15530- 4 2.40000+ 1 3.30000+ 1 3.65422- 3 4.17010- 4 2.40000+ 1 4.10000+ 1 1.74567- 4 4.18480- 4 2.50000+ 1 2.50000+ 1 7.86509- 3 3.48300- 4 2.50000+ 1 2.70000+ 1 1.30323- 2 3.21730- 4 2.50000+ 1 2.90000+ 1 1.09514- 2 3.56830- 4 2.50000+ 1 3.00000+ 1 4.84644- 2 3.72430- 4 2.50000+ 1 3.20000+ 1 7.14611- 4 4.19150- 4 2.50000+ 1 3.30000+ 1 4.63360- 3 4.20630- 4 2.50000+ 1 4.10000+ 1 4.30941- 4 4.22100- 4 2.70000+ 1 2.70000+ 1 2.60963- 6 2.95160- 4 2.70000+ 1 2.90000+ 1 2.68284- 4 3.30260- 4 2.70000+ 1 3.00000+ 1 5.48771- 3 3.45860- 4 2.70000+ 1 3.20000+ 1 3.18925- 4 3.92580- 4 2.70000+ 1 3.30000+ 1 5.84602- 4 3.94060- 4 2.70000+ 1 4.10000+ 1 5.21963- 7 3.95530- 4 2.90000+ 1 2.90000+ 1 1.53143- 5 3.65360- 4 2.90000+ 1 3.00000+ 1 4.88879- 3 3.80960- 4 2.90000+ 1 3.20000+ 1 1.46837- 4 4.27680- 4 2.90000+ 1 3.30000+ 1 4.91414- 4 4.29160- 4 2.90000+ 1 4.10000+ 1 8.10745- 6 4.30630- 4 3.00000+ 1 3.00000+ 1 8.60481- 3 3.96560- 4 3.00000+ 1 3.20000+ 1 5.37687- 3 4.43280- 4 3.00000+ 1 3.30000+ 1 6.88864- 3 4.44760- 4 3.00000+ 1 4.10000+ 1 2.66525- 4 4.46230- 4 3.20000+ 1 3.20000+ 1 2.76733- 5 4.90000- 4 3.20000+ 1 3.30000+ 1 1.77908- 4 4.91480- 4 3.20000+ 1 4.10000+ 1 5.00758- 6 4.92950- 4 3.30000+ 1 3.30000+ 1 1.60175- 4 4.92960- 4 3.30000+ 1 4.10000+ 1 1.21932- 5 4.94430- 4 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.63684- 4 2.47610- 4 2.90000+ 1 3.82870- 5 2.59760- 4 3.00000+ 1 5.28190- 6 2.75360- 4 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.20000+ 1 3.31876- 2 6.12000- 6 2.20000+ 1 3.30000+ 1 4.84326- 3 7.60000- 6 2.20000+ 1 4.10000+ 1 2.48175- 4 9.07000- 6 2.40000+ 1 2.40000+ 1 1.36801- 1 1.62120- 4 2.40000+ 1 2.50000+ 1 4.32853- 1 1.65740- 4 2.40000+ 1 2.70000+ 1 6.34706- 2 1.39170- 4 2.40000+ 1 2.90000+ 1 5.23581- 2 1.74270- 4 2.40000+ 1 3.00000+ 1 7.42738- 2 1.89870- 4 2.40000+ 1 3.20000+ 1 4.66386- 2 2.36590- 4 2.40000+ 1 3.30000+ 1 4.50179- 2 2.38070- 4 2.40000+ 1 4.10000+ 1 2.56649- 3 2.39540- 4 2.50000+ 1 2.50000+ 1 5.31566- 3 1.69360- 4 2.50000+ 1 2.70000+ 1 5.94132- 3 1.42790- 4 2.50000+ 1 2.90000+ 1 1.23028- 2 1.77890- 4 2.50000+ 1 3.00000+ 1 4.94398- 3 1.93490- 4 2.50000+ 1 3.20000+ 1 5.16323- 2 2.40210- 4 2.50000+ 1 3.30000+ 1 1.92766- 3 2.41690- 4 2.50000+ 1 4.10000+ 1 1.90279- 4 2.43160- 4 2.70000+ 1 2.70000+ 1 8.90986- 4 1.16220- 4 2.70000+ 1 2.90000+ 1 1.60124- 3 1.51320- 4 2.70000+ 1 3.00000+ 1 1.58341- 3 1.66920- 4 2.70000+ 1 3.20000+ 1 4.59675- 3 2.13640- 4 2.70000+ 1 3.30000+ 1 1.44920- 3 2.15120- 4 2.70000+ 1 4.10000+ 1 4.14190- 5 2.16590- 4 2.90000+ 1 2.90000+ 1 3.39492- 4 1.86420- 4 2.90000+ 1 3.00000+ 1 1.61403- 3 2.02020- 4 2.90000+ 1 3.20000+ 1 2.51203- 3 2.48740- 4 2.90000+ 1 3.30000+ 1 4.90817- 4 2.50220- 4 2.90000+ 1 4.10000+ 1 2.90260- 5 2.51690- 4 3.00000+ 1 3.00000+ 1 6.04295- 4 2.17620- 4 3.00000+ 1 3.20000+ 1 4.54972- 3 2.64340- 4 3.00000+ 1 3.30000+ 1 3.97298- 4 2.65820- 4 3.00000+ 1 4.10000+ 1 1.87892- 5 2.67290- 4 3.20000+ 1 3.20000+ 1 1.46741- 3 3.11060- 4 3.20000+ 1 3.30000+ 1 2.88663- 3 3.12540- 4 3.20000+ 1 4.10000+ 1 1.23360- 4 3.14010- 4 3.30000+ 1 3.30000+ 1 6.92929- 5 3.14020- 4 3.30000+ 1 4.10000+ 1 1.46651- 5 3.15490- 4 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 7.35007- 6 2.30470- 4 2.50000+ 1 1.56179- 4 2.34090- 4 3.00000+ 1 3.53969- 5 2.58220- 4 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 8.46028- 3 1.44980- 4 2.40000+ 1 2.50000+ 1 3.04151- 1 1.48600- 4 2.40000+ 1 2.70000+ 1 8.62410- 3 1.22030- 4 2.40000+ 1 2.90000+ 1 5.28774- 3 1.57130- 4 2.40000+ 1 3.00000+ 1 1.24834- 2 1.72730- 4 2.40000+ 1 3.20000+ 1 2.70348- 3 2.19450- 4 2.40000+ 1 3.30000+ 1 4.59498- 2 2.20930- 4 2.40000+ 1 4.10000+ 1 3.08552- 4 2.22400- 4 2.50000+ 1 2.50000+ 1 2.34656- 1 1.52220- 4 2.50000+ 1 2.70000+ 1 6.98819- 2 1.25650- 4 2.50000+ 1 2.90000+ 1 7.21511- 2 1.60750- 4 2.50000+ 1 3.00000+ 1 7.61575- 2 1.76350- 4 2.50000+ 1 3.20000+ 1 4.27998- 2 2.23070- 4 2.50000+ 1 3.30000+ 1 8.01890- 2 2.24550- 4 2.50000+ 1 4.10000+ 1 2.86242- 3 2.26020- 4 2.70000+ 1 2.70000+ 1 1.51919- 3 9.90800- 5 2.70000+ 1 2.90000+ 1 1.51499- 3 1.34180- 4 2.70000+ 1 3.00000+ 1 3.27490- 3 1.49780- 4 2.70000+ 1 3.20000+ 1 1.78041- 3 1.96500- 4 2.70000+ 1 3.30000+ 1 6.23185- 3 1.97980- 4 2.70000+ 1 4.10000+ 1 6.86103- 5 1.99450- 4 2.90000+ 1 2.90000+ 1 1.89708- 4 1.69280- 4 2.90000+ 1 3.00000+ 1 2.44144- 3 1.84880- 4 2.90000+ 1 3.20000+ 1 2.07700- 4 2.31600- 4 2.90000+ 1 3.30000+ 1 3.70106- 3 2.33080- 4 2.90000+ 1 4.10000+ 1 2.43694- 5 2.34550- 4 3.00000+ 1 3.00000+ 1 9.02408- 4 2.00480- 4 3.00000+ 1 3.20000+ 1 6.48603- 4 2.47200- 4 3.00000+ 1 3.30000+ 1 5.07470- 3 2.48680- 4 3.00000+ 1 4.10000+ 1 4.08659- 5 2.50150- 4 3.20000+ 1 3.20000+ 1 3.52472- 5 2.93920- 4 3.20000+ 1 3.30000+ 1 2.54232- 3 2.95400- 4 3.20000+ 1 4.10000+ 1 1.60210- 5 2.96870- 4 3.30000+ 1 3.30000+ 1 2.76348- 3 2.96880- 4 3.30000+ 1 4.10000+ 1 1.56707- 4 2.98350- 4 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 6.31778- 7 7.44700- 5 3.30000+ 1 4.21188- 8 7.59500- 5 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.20000+ 1 2.58737- 1 1.67300- 5 3.00000+ 1 3.30000+ 1 3.67670- 2 1.82100- 5 3.00000+ 1 4.10000+ 1 1.17493- 3 1.96800- 5 3.20000+ 1 3.20000+ 1 3.06195- 1 6.34500- 5 3.20000+ 1 3.30000+ 1 3.72977- 1 6.49300- 5 3.20000+ 1 4.10000+ 1 7.59571- 3 6.64000- 5 3.30000+ 1 3.30000+ 1 1.59468- 2 6.64100- 5 3.30000+ 1 4.10000+ 1 6.06152- 4 6.78800- 5 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 6.09150- 7 7.23300- 5 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.20000+ 1 6.77769- 2 1.31100- 5 3.00000+ 1 3.30000+ 1 2.70458- 1 1.45900- 5 3.00000+ 1 4.10000+ 1 2.01496- 3 1.60600- 5 3.20000+ 1 3.20000+ 1 1.02844- 2 5.98300- 5 3.20000+ 1 3.30000+ 1 3.03061- 1 6.13100- 5 3.20000+ 1 4.10000+ 1 4.44847- 4 6.27800- 5 3.30000+ 1 3.30000+ 1 3.38188- 1 6.27900- 5 3.30000+ 1 4.10000+ 1 7.77187- 3 6.42600- 5 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 7.54853- 7 3.51000- 5 3.00000+ 1 4.65751- 6 5.07000- 5 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 9.50146- 2 2.40800- 5 2.90000+ 1 3.30000+ 1 1.91010- 1 2.55600- 5 2.90000+ 1 4.10000+ 1 6.72412- 3 2.70300- 5 3.00000+ 1 3.20000+ 1 3.54760- 1 3.96800- 5 3.00000+ 1 3.30000+ 1 2.58025- 1 4.11600- 5 3.00000+ 1 4.10000+ 1 8.52305- 3 4.26300- 5 3.20000+ 1 3.20000+ 1 2.13259- 3 8.64000- 5 3.20000+ 1 3.30000+ 1 7.08952- 2 8.78800- 5 3.20000+ 1 4.10000+ 1 3.12896- 3 8.93500- 5 3.30000+ 1 3.30000+ 1 7.90246- 3 8.93600- 5 3.30000+ 1 4.10000+ 1 1.87791- 3 9.08300- 5 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.19630- 6 6.23200- 5 4.10000+ 1 7.70189- 8 6.52700- 5 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.20000+ 1 3.22947- 1 4.58000- 6 3.00000+ 1 3.30000+ 1 5.32899- 2 6.06000- 6 3.00000+ 1 4.10000+ 1 2.54219- 3 7.53000- 6 3.20000+ 1 3.20000+ 1 1.31477- 1 5.13000- 5 3.20000+ 1 3.30000+ 1 4.66256- 1 5.27800- 5 3.20000+ 1 4.10000+ 1 1.02758- 2 5.42500- 5 3.30000+ 1 3.30000+ 1 1.22769- 2 5.42600- 5 3.30000+ 1 4.10000+ 1 9.33049- 4 5.57300- 5 1 78000 0 7 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 2.41070- 8 4.67200- 5 3.30000+ 1 2.38260- 7 4.82000- 5 4.10000+ 1 3.06950- 8 4.96700- 5 1 78000 0 9 1.95090+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 3.59504- 2 3.57000- 5 3.20000+ 1 3.30000+ 1 6.24528- 1 3.71800- 5 3.20000+ 1 4.10000+ 1 7.48100- 3 3.86500- 5 3.30000+ 1 3.30000+ 1 3.13309- 1 3.86600- 5 3.30000+ 1 4.10000+ 1 1.87307- 2 4.01300- 5 1 79000 0 0 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 4.10000+ 1 1.00000+ 0 1 79000 0 0 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.09600- 2 3.00000+ 0 1.43360- 2 5.00000+ 0 1.37760- 2 6.00000+ 0 1.19220- 2 8.00000+ 0 3.40140- 3 1.00000+ 1 3.14430- 3 1.10000+ 1 2.73400- 3 1.30000+ 1 2.30070- 3 1.40000+ 1 2.21220- 3 1.60000+ 1 7.47400- 4 1.80000+ 1 6.36280- 4 1.90000+ 1 5.37390- 4 2.10000+ 1 3.53480- 4 2.20000+ 1 3.35050- 4 2.40000+ 1 9.73700- 5 2.50000+ 1 9.33900- 5 2.70000+ 1 1.15230- 4 2.90000+ 1 7.85500- 5 3.00000+ 1 6.13700- 5 3.20000+ 1 1.21600- 5 3.30000+ 1 1.04600- 5 4.10000+ 1 8.30000- 6 1 79000 0 0 1.96966+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.12490- 1 3.00000+ 0 2.68780- 2 5.00000+ 0 2.68640- 2 6.00000+ 0 1.96920- 2 8.00000+ 0 8.56100- 3 1.00000+ 1 8.44820- 3 1.10000+ 1 6.67610- 3 1.30000+ 1 6.53130- 3 1.40000+ 1 6.15350- 3 1.60000+ 1 2.80360- 3 1.80000+ 1 2.67720- 3 1.90000+ 1 2.14480- 3 2.10000+ 1 1.92610- 3 2.20000+ 1 1.81650- 3 2.40000+ 1 1.43510- 3 2.50000+ 1 1.39840- 3 2.70000+ 1 6.97240- 4 2.90000+ 1 5.94990- 4 3.00000+ 1 4.62910- 4 3.20000+ 1 2.53890- 4 3.30000+ 1 2.30140- 4 4.10000+ 1 7.05200- 5 1 79000 0 0 1.96966+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.91640-11 3.00000+ 0 3.71870-10 5.00000+ 0 3.05640-10 6.00000+ 0 3.50830-10 8.00000+ 0 9.66170-10 1.00000+ 1 9.13650-10 1.10000+ 1 9.96290-10 1.30000+ 1 8.66540-10 1.40000+ 1 8.91640-10 1.60000+ 1 2.14090- 9 1.80000+ 1 2.15010- 9 1.90000+ 1 2.32780- 9 2.10000+ 1 2.36480- 9 2.20000+ 1 2.42240- 9 2.40000+ 1 2.55910- 9 2.50000+ 1 2.59380- 9 2.70000+ 1 4.85020- 9 2.90000+ 1 5.22470- 9 3.00000+ 1 5.73830- 9 3.20000+ 1 7.86610- 9 3.30000+ 1 8.24060- 9 4.10000+ 1 1.50760- 8 1 79000 0 0 1.96966+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.90410- 5 3.00000+ 0 1.11700- 6 5.00000+ 0 1.96180- 6 6.00000+ 0 1.71610- 6 8.00000+ 0 4.13820- 8 1.00000+ 1 4.58100- 8 1.10000+ 1 4.89240- 8 1.30000+ 1 6.08720- 8 1.40000+ 1 5.70280- 8 1.60000+ 1 1.43180- 9 1.80000+ 1 2.28870- 9 1.90000+ 1 1.41160- 9 2.10000+ 1 1.55460- 9 2.20000+ 1 1.32310- 9 2.40000+ 1 9.79040-12 2.50000+ 1 8.71480-12 2.70000+ 1 7.63470-11 2.90000+ 1 1.37000-10 3.00000+ 1 7.86390-11 1 79000 0 0 1.96966+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.97520- 6 3.00000+ 0 1.24780- 5 5.00000+ 0 3.43870- 6 6.00000+ 0 3.65570- 6 8.00000+ 0 1.86250- 5 1.00000+ 1 1.26620- 5 1.10000+ 1 1.08160- 5 1.30000+ 1 2.17470- 6 1.40000+ 1 2.12520- 6 1.60000+ 1 1.55980- 5 1.80000+ 1 1.36080- 5 1.90000+ 1 9.51060- 6 2.10000+ 1 8.12080- 6 2.20000+ 1 7.27590- 6 2.40000+ 1 3.89670- 7 2.50000+ 1 3.34920- 7 2.70000+ 1 1.84250- 5 2.90000+ 1 8.49010- 6 3.00000+ 1 8.30670- 6 1 79000 0 0 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.40533- 4 3.00000+ 0 1.99619- 4 5.00000+ 0 1.45221- 4 6.00000+ 0 1.40916- 4 8.00000+ 0 1.39755- 4 1.00000+ 1 1.20598- 4 1.10000+ 1 1.07780- 4 1.30000+ 1 8.22569- 5 1.40000+ 1 7.90726- 5 1.60000+ 1 7.78513- 5 1.80000+ 1 7.00368- 5 1.90000+ 1 6.73710- 5 2.10000+ 1 5.09321- 5 2.20000+ 1 4.83534- 5 2.40000+ 1 2.77358- 5 2.50000+ 1 2.51213- 5 2.70000+ 1 3.31404- 5 2.90000+ 1 2.60659- 5 3.00000+ 1 2.19987- 5 3.20000+ 1 1.21600- 5 3.30000+ 1 1.04600- 5 4.10000+ 1 8.30000- 6 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.28593+ 0 3.00000+ 0 3.92856- 1 5.00000+ 0 4.44393- 1 6.00000+ 0 3.60475- 1 8.00000+ 0 3.04623- 2 1.00000+ 1 3.02734- 2 1.10000+ 1 2.85475- 2 1.30000+ 1 3.20480- 2 1.40000+ 1 3.02100- 2 1.60000+ 1 1.03492- 3 1.80000+ 1 1.28226- 3 1.90000+ 1 6.04691- 4 2.10000+ 1 2.43234- 4 2.20000+ 1 2.24014- 4 2.40000+ 1 1.64557- 6 2.50000+ 1 1.26191- 6 2.70000+ 1 7.07660- 6 2.90000+ 1 2.02595- 6 3.00000+ 1 4.29061- 7 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.07812- 2 3.00000+ 0 3.64929- 3 5.00000+ 0 4.77534- 3 6.00000+ 0 3.26201- 3 8.00000+ 0 6.57650- 5 1.00000+ 1 6.54090- 5 1.10000+ 1 6.04235- 5 1.30000+ 1 6.84276- 5 1.40000+ 1 6.25767- 5 1.60000+ 1 3.72792- 7 1.80000+ 1 4.13845- 7 1.90000+ 1 1.80736- 7 2.10000+ 1 6.26583- 8 2.20000+ 1 5.48666- 8 2.40000+ 1 1.31165-10 2.50000+ 1 1.00390-10 2.70000+ 1 3.72496-10 2.90000+ 1 1.33002-10 3.00000+ 1 2.18806-11 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.16619+ 1 3.00000+ 0 1.69799+ 1 5.00000+ 0 1.20379+ 1 6.00000+ 0 1.17127+ 1 8.00000+ 0 1.16210+ 1 1.00000+ 1 9.81377+ 0 1.10000+ 1 8.80189+ 0 1.30000+ 1 6.35063+ 0 1.40000+ 1 6.13172+ 0 1.60000+ 1 6.00126+ 0 1.80000+ 1 5.25450+ 0 1.90000+ 1 5.06869+ 0 2.10000+ 1 3.51915+ 0 2.20000+ 1 3.37803+ 0 2.40000+ 1 1.41711+ 0 2.50000+ 1 1.31094+ 0 2.70000+ 1 1.97190+ 0 2.90000+ 1 1.29183+ 0 3.00000+ 1 1.00000+ 0 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.00383- 2 3.00000+ 0 1.04871- 2 5.00000+ 0 8.85544- 3 6.00000+ 0 8.51908- 3 8.00000+ 0 3.19588- 3 1.00000+ 1 2.95829- 3 1.10000+ 1 2.56580- 3 1.30000+ 1 2.15002- 3 1.40000+ 1 2.07055- 3 1.60000+ 1 6.69176- 4 1.80000+ 1 5.65829- 4 1.90000+ 1 4.69838- 4 2.10000+ 1 3.02485- 4 2.20000+ 1 2.86642- 4 2.40000+ 1 6.96341- 5 2.50000+ 1 6.82686- 5 2.70000+ 1 8.20892- 5 2.90000+ 1 5.24840- 5 3.00000+ 1 3.93713- 5 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.80091- 1 6.71840- 2 6.00000+ 0 4.76571- 1 6.90380- 2 1.00000+ 1 5.24202- 2 7.78157- 2 1.10000+ 1 1.01430- 1 7.82260- 2 1.30000+ 1 1.31510- 3 7.86593- 2 1.40000+ 1 1.61690- 3 7.87478- 2 1.80000+ 1 1.22910- 2 8.03237- 2 1.90000+ 1 2.40161- 2 8.04226- 2 2.10000+ 1 3.37751- 4 8.06065- 2 2.20000+ 1 4.14171- 4 8.06249- 2 2.90000+ 1 2.83061- 3 8.08814- 2 3.00000+ 1 5.59672- 3 8.08986- 2 3.20000+ 1 3.16611- 5 8.09478- 2 3.30000+ 1 3.77531- 5 8.09495- 2 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.30255- 3 5.22880- 2 3.00000+ 0 5.00000+ 0 6.62149- 3 5.28480- 2 3.00000+ 0 6.00000+ 0 3.95301- 3 5.47020- 2 3.00000+ 0 8.00000+ 0 1.72408- 3 6.32226- 2 3.00000+ 0 1.00000+ 1 1.42367- 3 6.34797- 2 3.00000+ 0 1.10000+ 1 9.14830- 4 6.38900- 2 3.00000+ 0 1.30000+ 1 7.61366- 5 6.43233- 2 3.00000+ 0 1.40000+ 1 5.89658- 5 6.44118- 2 3.00000+ 0 1.60000+ 1 4.27459- 4 6.58766- 2 3.00000+ 0 1.80000+ 1 3.44093- 4 6.59877- 2 3.00000+ 0 1.90000+ 1 2.20003- 4 6.60866- 2 3.00000+ 0 2.10000+ 1 1.93733- 5 6.62705- 2 3.00000+ 0 2.20000+ 1 1.47990- 5 6.62889- 2 3.00000+ 0 2.40000+ 1 5.64817- 8 6.65266- 2 3.00000+ 0 2.50000+ 1 5.64817- 8 6.65306- 2 3.00000+ 0 2.70000+ 1 8.54028- 5 6.65088- 2 3.00000+ 0 2.90000+ 1 6.02661- 5 6.65454- 2 3.00000+ 0 3.00000+ 1 3.68258- 5 6.65626- 2 3.00000+ 0 3.20000+ 1 1.75097- 6 6.66118- 2 3.00000+ 0 3.30000+ 1 1.24260- 6 6.66135- 2 5.00000+ 0 5.00000+ 0 3.90627- 4 5.34080- 2 5.00000+ 0 6.00000+ 0 7.11707- 3 5.52620- 2 5.00000+ 0 8.00000+ 0 1.14611- 3 6.37826- 2 5.00000+ 0 1.00000+ 1 1.47247- 4 6.40397- 2 5.00000+ 0 1.10000+ 1 1.37484- 3 6.44500- 2 5.00000+ 0 1.30000+ 1 7.90179- 5 6.48833- 2 5.00000+ 0 1.40000+ 1 2.12991- 4 6.49718- 2 5.00000+ 0 1.60000+ 1 2.74882- 4 6.64366- 2 5.00000+ 0 1.80000+ 1 3.45667- 5 6.65477- 2 5.00000+ 0 1.90000+ 1 3.17310- 4 6.66466- 2 5.00000+ 0 2.10000+ 1 1.93730- 5 6.68305- 2 5.00000+ 0 2.20000+ 1 5.23556- 5 6.68489- 2 5.00000+ 0 2.40000+ 1 5.08352- 7 6.70866- 2 5.00000+ 0 2.50000+ 1 7.90750- 7 6.70906- 2 5.00000+ 0 2.70000+ 1 5.45041- 5 6.70688- 2 5.00000+ 0 2.90000+ 1 5.98714- 6 6.71054- 2 5.00000+ 0 3.00000+ 1 5.26966- 5 6.71226- 2 5.00000+ 0 3.20000+ 1 1.75094- 6 6.71718- 2 5.00000+ 0 3.30000+ 1 4.40542- 6 6.71735- 2 6.00000+ 0 6.00000+ 0 3.10723- 3 5.71160- 2 6.00000+ 0 8.00000+ 0 6.25059- 4 6.56366- 2 6.00000+ 0 1.00000+ 1 1.26020- 3 6.58937- 2 6.00000+ 0 1.10000+ 1 1.23976- 3 6.63040- 2 6.00000+ 0 1.30000+ 1 2.38591- 4 6.67373- 2 6.00000+ 0 1.40000+ 1 2.00566- 4 6.68258- 2 6.00000+ 0 1.60000+ 1 1.46689- 4 6.82906- 2 6.00000+ 0 1.80000+ 1 2.92076- 4 6.84017- 2 6.00000+ 0 1.90000+ 1 2.88635- 4 6.85006- 2 6.00000+ 0 2.10000+ 1 5.91395- 5 6.86845- 2 6.00000+ 0 2.20000+ 1 4.94792- 5 6.87029- 2 6.00000+ 0 2.40000+ 1 9.03740- 7 6.89406- 2 6.00000+ 0 2.50000+ 1 9.60189- 7 6.89446- 2 6.00000+ 0 2.70000+ 1 2.89196- 5 6.89228- 2 6.00000+ 0 2.90000+ 1 5.06642- 5 6.89594- 2 6.00000+ 0 3.00000+ 1 4.80116- 5 6.89766- 2 6.00000+ 0 3.20000+ 1 5.30954- 6 6.90258- 2 6.00000+ 0 3.30000+ 1 4.12347- 6 6.90275- 2 8.00000+ 0 8.00000+ 0 1.69965- 4 7.41572- 2 8.00000+ 0 1.00000+ 1 2.47222- 4 7.44143- 2 8.00000+ 0 1.10000+ 1 1.45949- 4 7.48246- 2 8.00000+ 0 1.30000+ 1 1.18046- 5 7.52579- 2 8.00000+ 0 1.40000+ 1 8.58559- 6 7.53464- 2 8.00000+ 0 1.60000+ 1 8.39901- 5 7.68112- 2 8.00000+ 0 1.80000+ 1 5.98164- 5 7.69223- 2 8.00000+ 0 1.90000+ 1 3.51884- 5 7.70212- 2 8.00000+ 0 2.10000+ 1 2.99362- 6 7.72051- 2 8.00000+ 0 2.20000+ 1 2.14640- 6 7.72235- 2 8.00000+ 0 2.70000+ 1 1.67751- 5 7.74434- 2 8.00000+ 0 2.90000+ 1 1.04495- 5 7.74800- 2 8.00000+ 0 3.00000+ 1 5.87416- 6 7.74972- 2 8.00000+ 0 3.20000+ 1 2.82410- 7 7.75464- 2 8.00000+ 0 3.30000+ 1 1.69446- 7 7.75481- 2 1.00000+ 1 1.00000+ 1 1.35002- 5 7.46714- 2 1.00000+ 1 1.10000+ 1 2.50117- 4 7.50817- 2 1.00000+ 1 1.30000+ 1 1.20314- 5 7.55150- 2 1.00000+ 1 1.40000+ 1 2.85241- 5 7.56035- 2 1.00000+ 1 1.60000+ 1 5.93090- 5 7.70683- 2 1.00000+ 1 1.80000+ 1 6.32609- 6 7.71794- 2 1.00000+ 1 1.90000+ 1 5.80659- 5 7.72783- 2 1.00000+ 1 2.10000+ 1 2.99367- 6 7.74622- 2 1.00000+ 1 2.20000+ 1 7.06045- 6 7.74806- 2 1.00000+ 1 2.40000+ 1 5.64838- 8 7.77183- 2 1.00000+ 1 2.50000+ 1 1.12965- 7 7.77223- 2 1.00000+ 1 2.70000+ 1 1.17486- 5 7.77005- 2 1.00000+ 1 2.90000+ 1 1.07321- 6 7.77371- 2 1.00000+ 1 3.00000+ 1 9.65872- 6 7.77543- 2 1.00000+ 1 3.20000+ 1 2.82414- 7 7.78035- 2 1.00000+ 1 3.30000+ 1 6.21332- 7 7.78052- 2 1.10000+ 1 1.10000+ 1 1.24835- 4 7.54920- 2 1.10000+ 1 1.30000+ 1 3.80699- 5 7.59253- 2 1.10000+ 1 1.40000+ 1 3.10101- 5 7.60138- 2 1.10000+ 1 1.60000+ 1 3.43425- 5 7.74786- 2 1.10000+ 1 1.80000+ 1 5.82908- 5 7.75897- 2 1.10000+ 1 1.90000+ 1 5.82336- 5 7.76886- 2 1.10000+ 1 2.10000+ 1 9.54585- 6 7.78725- 2 1.10000+ 1 2.20000+ 1 7.68196- 6 7.78909- 2 1.10000+ 1 2.40000+ 1 1.12964- 7 7.81286- 2 1.10000+ 1 2.50000+ 1 1.12964- 7 7.81326- 2 1.10000+ 1 2.70000+ 1 6.77787- 6 7.81108- 2 1.10000+ 1 2.90000+ 1 1.01105- 5 7.81474- 2 1.10000+ 1 3.00000+ 1 9.65862- 6 7.81646- 2 1.10000+ 1 3.20000+ 1 8.47243- 7 7.82138- 2 1.10000+ 1 3.30000+ 1 6.21325- 7 7.82155- 2 1.30000+ 1 1.30000+ 1 5.64825- 8 7.63586- 2 1.30000+ 1 1.40000+ 1 4.46209- 6 7.64471- 2 1.30000+ 1 1.60000+ 1 2.76763- 6 7.79119- 2 1.30000+ 1 1.80000+ 1 2.71119- 6 7.80230- 2 1.30000+ 1 1.90000+ 1 8.41620- 6 7.81219- 2 1.30000+ 1 2.10000+ 1 5.64825- 8 7.83058- 2 1.30000+ 1 2.20000+ 1 1.07318- 6 7.83242- 2 1.30000+ 1 2.70000+ 1 5.64825- 7 7.85441- 2 1.30000+ 1 2.90000+ 1 4.51863- 7 7.85807- 2 1.30000+ 1 3.00000+ 1 1.41215- 6 7.85979- 2 1.30000+ 1 3.30000+ 1 1.12962- 7 7.86488- 2 1.40000+ 1 1.40000+ 1 1.07315- 6 7.65356- 2 1.40000+ 1 1.60000+ 1 1.97679- 6 7.80004- 2 1.40000+ 1 1.80000+ 1 6.21298- 6 7.81115- 2 1.40000+ 1 1.90000+ 1 6.83411- 6 7.82104- 2 1.40000+ 1 2.10000+ 1 1.07315- 6 7.83943- 2 1.40000+ 1 2.20000+ 1 5.08349- 7 7.84127- 2 1.40000+ 1 2.70000+ 1 3.95358- 7 7.86326- 2 1.40000+ 1 2.90000+ 1 1.07315- 6 7.86692- 2 1.40000+ 1 3.00000+ 1 1.12959- 6 7.86864- 2 1.40000+ 1 3.20000+ 1 1.12959- 7 7.87356- 2 1.40000+ 1 3.30000+ 1 5.64807- 8 7.87373- 2 1.60000+ 1 1.60000+ 1 1.03447- 5 7.94652- 2 1.60000+ 1 1.80000+ 1 1.42806- 5 7.95763- 2 1.60000+ 1 1.90000+ 1 8.26456- 6 7.96752- 2 1.60000+ 1 2.10000+ 1 7.30880- 7 7.98591- 2 1.60000+ 1 2.20000+ 1 5.06012- 7 7.98775- 2 1.60000+ 1 2.70000+ 1 4.10436- 6 8.00974- 2 1.60000+ 1 2.90000+ 1 2.53000- 6 8.01340- 2 1.60000+ 1 3.00000+ 1 1.40561- 6 8.01512- 2 1.60000+ 1 3.20000+ 1 5.62210- 8 8.02004- 2 1.60000+ 1 3.30000+ 1 5.62210- 8 8.02021- 2 1.80000+ 1 1.80000+ 1 7.34271- 7 7.96874- 2 1.80000+ 1 1.90000+ 1 1.35559- 5 7.97863- 2 1.80000+ 1 2.10000+ 1 6.77770- 7 7.99702- 2 1.80000+ 1 2.20000+ 1 1.52501- 6 7.99887- 2 1.80000+ 1 2.70000+ 1 2.82404- 6 8.02085- 2 1.80000+ 1 2.90000+ 1 2.82404- 7 8.02452- 2 1.80000+ 1 3.00000+ 1 2.25923- 6 8.02623- 2 1.80000+ 1 3.20000+ 1 5.64818- 8 8.03116- 2 1.80000+ 1 3.30000+ 1 1.12961- 7 8.03133- 2 1.90000+ 1 1.90000+ 1 6.66161- 6 7.98852- 2 1.90000+ 1 2.10000+ 1 2.05401- 6 8.00691- 2 1.90000+ 1 2.20000+ 1 1.66541- 6 8.00876- 2 1.90000+ 1 2.70000+ 1 1.60993- 6 8.03074- 2 1.90000+ 1 2.90000+ 1 2.33148- 6 8.03441- 2 1.90000+ 1 3.00000+ 1 2.22053- 6 8.03612- 2 1.90000+ 1 3.20000+ 1 1.66541- 7 8.04104- 2 1.90000+ 1 3.30000+ 1 1.66541- 7 8.04121- 2 2.10000+ 1 2.20000+ 1 3.05395- 7 8.02715- 2 2.10000+ 1 2.70000+ 1 1.22157- 7 8.04913- 2 2.10000+ 1 2.90000+ 1 1.22157- 7 8.05280- 2 2.10000+ 1 3.00000+ 1 3.66473- 7 8.05451- 2 2.20000+ 1 2.20000+ 1 5.64827- 8 8.02899- 2 2.20000+ 1 2.70000+ 1 1.12963- 7 8.05097- 2 2.20000+ 1 2.90000+ 1 2.82408- 7 8.05464- 2 2.20000+ 1 3.00000+ 1 2.82408- 7 8.05636- 2 2.70000+ 1 2.70000+ 1 3.99191- 7 8.07295- 2 2.70000+ 1 2.90000+ 1 5.13277- 7 8.07662- 2 2.70000+ 1 3.00000+ 1 2.85136- 7 8.07834- 2 2.90000+ 1 3.00000+ 1 4.02811- 7 8.08201- 2 3.00000+ 1 3.00000+ 1 1.77187- 7 8.08373- 2 3.00000+ 1 3.20000+ 1 5.90633- 8 8.08865- 2 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.10171- 5 5.60000- 4 6.00000+ 0 2.12981- 3 2.41400- 3 1.00000+ 1 2.74491- 2 1.11917- 2 1.10000+ 1 3.16762- 2 1.16020- 2 1.30000+ 1 9.15155- 4 1.20353- 2 1.40000+ 1 1.36981- 3 1.21238- 2 1.80000+ 1 6.94594- 3 1.36997- 2 1.90000+ 1 8.63255- 3 1.37986- 2 2.10000+ 1 1.36301- 4 1.39825- 2 2.20000+ 1 2.14631- 4 1.40009- 2 2.90000+ 1 1.24331- 3 1.42574- 2 3.00000+ 1 1.49921- 3 1.42746- 2 3.20000+ 1 1.18361- 5 1.43238- 2 3.30000+ 1 1.82301- 5 1.43255- 2 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.90000+ 1 1.64737- 2 2.26100- 5 5.00000+ 0 2.10000+ 1 4.59767- 3 2.06520- 4 5.00000+ 0 2.20000+ 1 6.23593- 3 2.24950- 4 5.00000+ 0 2.40000+ 1 1.39012- 2 4.62630- 4 5.00000+ 0 2.50000+ 1 1.84133- 2 4.66610- 4 5.00000+ 0 2.70000+ 1 3.98750- 3 4.44770- 4 5.00000+ 0 2.90000+ 1 2.78283- 3 4.81450- 4 5.00000+ 0 3.00000+ 1 2.60677- 3 4.98630- 4 5.00000+ 0 3.20000+ 1 4.14216- 4 5.47840- 4 5.00000+ 0 3.30000+ 1 5.39291- 4 5.49540- 4 6.00000+ 0 1.30000+ 1 2.34701- 1 1.13300- 4 6.00000+ 0 1.40000+ 1 3.04226- 1 2.01800- 4 6.00000+ 0 1.60000+ 1 1.89840- 2 1.66660- 3 6.00000+ 0 1.80000+ 1 7.60389- 3 1.77772- 3 6.00000+ 0 1.90000+ 1 1.17365- 2 1.87661- 3 6.00000+ 0 2.10000+ 1 2.95208- 2 2.06052- 3 6.00000+ 0 2.20000+ 1 3.53865- 2 2.07895- 3 6.00000+ 0 2.40000+ 1 2.09135- 2 2.31663- 3 6.00000+ 0 2.50000+ 1 2.61345- 2 2.32061- 3 6.00000+ 0 2.70000+ 1 3.61403- 3 2.29877- 3 6.00000+ 0 2.90000+ 1 1.30272- 3 2.33545- 3 6.00000+ 0 3.00000+ 1 1.94729- 3 2.35263- 3 6.00000+ 0 3.20000+ 1 2.44209- 3 2.40184- 3 6.00000+ 0 3.30000+ 1 2.72152- 3 2.40354- 3 8.00000+ 0 8.00000+ 0 5.01351- 3 7.53320- 3 8.00000+ 0 1.00000+ 1 1.02720- 2 7.79030- 3 8.00000+ 0 1.10000+ 1 1.65488- 2 8.20060- 3 8.00000+ 0 1.30000+ 1 1.23896- 2 8.63390- 3 8.00000+ 0 1.40000+ 1 1.60938- 2 8.72240- 3 8.00000+ 0 1.60000+ 1 2.11258- 3 1.01872- 2 8.00000+ 0 1.80000+ 1 2.44682- 3 1.02983- 2 8.00000+ 0 1.90000+ 1 3.87904- 3 1.03972- 2 8.00000+ 0 2.10000+ 1 2.61818- 3 1.05811- 2 8.00000+ 0 2.20000+ 1 3.36984- 3 1.05995- 2 8.00000+ 0 2.40000+ 1 2.04110- 4 1.08372- 2 8.00000+ 0 2.50000+ 1 2.26916- 4 1.08412- 2 8.00000+ 0 2.70000+ 1 4.11019- 4 1.08194- 2 8.00000+ 0 2.90000+ 1 4.26826- 4 1.08560- 2 8.00000+ 0 3.00000+ 1 6.45542- 4 1.08732- 2 8.00000+ 0 3.20000+ 1 2.28125- 4 1.09224- 2 8.00000+ 0 3.30000+ 1 2.75746- 4 1.09241- 2 1.00000+ 1 1.00000+ 1 2.24114- 5 8.04740- 3 1.00000+ 1 1.10000+ 1 2.13916- 4 8.45770- 3 1.00000+ 1 1.30000+ 1 6.20723- 4 8.89100- 3 1.00000+ 1 1.40000+ 1 5.26352- 3 8.97950- 3 1.00000+ 1 1.60000+ 1 1.70595- 3 1.04443- 2 1.00000+ 1 1.80000+ 1 3.20164- 6 1.05554- 2 1.00000+ 1 1.90000+ 1 4.32221- 5 1.06543- 2 1.00000+ 1 2.10000+ 1 1.17256- 4 1.08382- 2 1.00000+ 1 2.20000+ 1 7.05375- 4 1.08566- 2 1.00000+ 1 2.40000+ 1 7.38409- 5 1.10943- 2 1.00000+ 1 2.50000+ 1 2.58527- 4 1.10983- 2 1.00000+ 1 2.70000+ 1 3.13166- 4 1.10765- 2 1.00000+ 1 2.90000+ 1 4.00208- 7 1.11131- 2 1.00000+ 1 3.00000+ 1 7.00357- 6 1.11303- 2 1.00000+ 1 3.20000+ 1 1.02049- 5 1.11795- 2 1.00000+ 1 3.30000+ 1 5.40290- 5 1.11812- 2 1.10000+ 1 1.10000+ 1 5.11481- 4 8.86800- 3 1.10000+ 1 1.30000+ 1 1.90963- 3 9.30130- 3 1.10000+ 1 1.40000+ 1 1.17407- 3 9.38980- 3 1.10000+ 1 1.60000+ 1 2.71348- 3 1.08546- 2 1.10000+ 1 1.80000+ 1 4.98274- 5 1.09657- 2 1.10000+ 1 1.90000+ 1 1.79885- 4 1.10646- 2 1.10000+ 1 2.10000+ 1 1.69897- 4 1.12485- 2 1.10000+ 1 2.20000+ 1 9.06455- 5 1.12669- 2 1.10000+ 1 2.40000+ 1 1.35874- 4 1.15046- 2 1.10000+ 1 2.50000+ 1 1.13058- 4 1.15086- 2 1.10000+ 1 2.70000+ 1 4.96864- 4 1.14868- 2 1.10000+ 1 2.90000+ 1 8.60494- 6 1.15234- 2 1.10000+ 1 3.00000+ 1 2.84155- 5 1.15406- 2 1.10000+ 1 3.20000+ 1 1.28065- 5 1.15898- 2 1.10000+ 1 3.30000+ 1 6.40347- 6 1.15915- 2 1.30000+ 1 1.30000+ 1 7.31586- 4 9.73460- 3 1.30000+ 1 1.40000+ 1 2.20656- 2 9.82310- 3 1.30000+ 1 1.60000+ 1 1.86244- 3 1.12879- 2 1.30000+ 1 1.80000+ 1 1.79694- 4 1.13990- 2 1.30000+ 1 1.90000+ 1 4.97862- 4 1.14979- 2 1.30000+ 1 2.10000+ 1 3.01760- 4 1.16818- 2 1.30000+ 1 2.20000+ 1 3.22996- 3 1.17002- 2 1.30000+ 1 2.40000+ 1 2.21916- 4 1.19379- 2 1.30000+ 1 2.50000+ 1 6.14328- 4 1.19419- 2 1.30000+ 1 2.70000+ 1 3.35374- 4 1.19201- 2 1.30000+ 1 2.90000+ 1 3.26176- 5 1.19567- 2 1.30000+ 1 3.00000+ 1 8.44453- 5 1.19739- 2 1.30000+ 1 3.20000+ 1 2.62138- 5 1.20231- 2 1.30000+ 1 3.30000+ 1 2.49340- 4 1.20248- 2 1.40000+ 1 1.40000+ 1 6.11995- 3 9.91160- 3 1.40000+ 1 1.60000+ 1 2.45316- 3 1.13764- 2 1.40000+ 1 1.80000+ 1 1.11415- 3 1.14875- 2 1.40000+ 1 1.90000+ 1 3.15961- 4 1.15864- 2 1.40000+ 1 2.10000+ 1 3.13961- 3 1.17703- 2 1.40000+ 1 2.20000+ 1 1.89148- 3 1.17887- 2 1.40000+ 1 2.40000+ 1 6.78551- 4 1.20264- 2 1.40000+ 1 2.50000+ 1 5.14467- 4 1.20304- 2 1.40000+ 1 2.70000+ 1 4.43822- 4 1.20086- 2 1.40000+ 1 2.90000+ 1 1.90098- 4 1.20452- 2 1.40000+ 1 3.00000+ 1 5.40281- 5 1.20624- 2 1.40000+ 1 3.20000+ 1 2.56334- 4 1.21116- 2 1.40000+ 1 3.30000+ 1 1.47477- 4 1.21133- 2 1.60000+ 1 1.60000+ 1 2.09913- 4 1.28412- 2 1.60000+ 1 1.80000+ 1 4.07400- 4 1.29523- 2 1.60000+ 1 1.90000+ 1 6.38329- 4 1.30512- 2 1.60000+ 1 2.10000+ 1 3.94603- 4 1.32351- 2 1.60000+ 1 2.20000+ 1 5.11667- 4 1.32535- 2 1.60000+ 1 2.40000+ 1 2.54134- 5 1.34912- 2 1.60000+ 1 2.50000+ 1 2.72140- 5 1.34952- 2 1.60000+ 1 2.70000+ 1 8.06422- 5 1.34734- 2 1.60000+ 1 2.90000+ 1 7.10364- 5 1.35100- 2 1.60000+ 1 3.00000+ 1 1.06256- 4 1.35272- 2 1.60000+ 1 3.20000+ 1 3.44164- 5 1.35764- 2 1.60000+ 1 3.30000+ 1 4.18218- 5 1.35781- 2 1.80000+ 1 1.90000+ 1 1.02048- 5 1.31623- 2 1.80000+ 1 2.10000+ 1 2.98157- 5 1.33462- 2 1.80000+ 1 2.20000+ 1 1.55077- 4 1.33647- 2 1.80000+ 1 2.40000+ 1 1.02048- 5 1.36023- 2 1.80000+ 1 2.50000+ 1 4.02214- 5 1.36063- 2 1.80000+ 1 2.70000+ 1 7.48401- 5 1.35845- 2 1.80000+ 1 3.00000+ 1 1.60086- 6 1.36383- 2 1.80000+ 1 3.20000+ 1 2.60134- 6 1.36876- 2 1.80000+ 1 3.30000+ 1 1.20054- 5 1.36893- 2 1.90000+ 1 1.90000+ 1 1.52081- 5 1.32612- 2 1.90000+ 1 2.10000+ 1 5.02273- 5 1.34451- 2 1.90000+ 1 2.20000+ 1 2.98163- 5 1.34636- 2 1.90000+ 1 2.40000+ 1 2.68138- 5 1.37012- 2 1.90000+ 1 2.50000+ 1 2.18118- 5 1.37052- 2 1.90000+ 1 2.70000+ 1 1.16867- 4 1.36834- 2 1.90000+ 1 2.90000+ 1 1.80105- 6 1.37201- 2 1.90000+ 1 3.00000+ 1 4.80259- 6 1.37372- 2 1.90000+ 1 3.20000+ 1 3.80207- 6 1.37864- 2 1.90000+ 1 3.30000+ 1 2.20118- 6 1.37881- 2 2.10000+ 1 2.10000+ 1 2.88152- 5 1.36290- 2 2.10000+ 1 2.20000+ 1 5.02658- 4 1.36475- 2 2.10000+ 1 2.40000+ 1 3.16167- 5 1.38851- 2 2.10000+ 1 2.50000+ 1 6.66356- 5 1.38891- 2 2.10000+ 1 2.70000+ 1 7.10377- 5 1.38673- 2 2.10000+ 1 2.90000+ 1 5.20276- 6 1.39040- 2 2.10000+ 1 3.00000+ 1 8.60487- 6 1.39211- 2 2.10000+ 1 3.20000+ 1 5.00270- 6 1.39704- 2 2.10000+ 1 3.30000+ 1 3.92201- 5 1.39721- 2 2.20000+ 1 2.20000+ 1 1.56679- 4 1.36659- 2 2.20000+ 1 2.40000+ 1 7.74443- 5 1.39036- 2 2.20000+ 1 2.50000+ 1 6.54338- 5 1.39076- 2 2.20000+ 1 2.70000+ 1 9.24444- 5 1.38857- 2 2.20000+ 1 2.90000+ 1 2.66137- 5 1.39224- 2 2.20000+ 1 3.00000+ 1 5.20276- 6 1.39396- 2 2.20000+ 1 3.20000+ 1 4.16216- 5 1.39888- 2 2.20000+ 1 3.30000+ 1 2.46131- 5 1.39905- 2 2.40000+ 1 2.40000+ 1 1.06508- 6 1.41413- 2 2.40000+ 1 2.50000+ 1 1.94386- 5 1.41452- 2 2.40000+ 1 2.70000+ 1 5.85802- 6 1.41234- 2 2.40000+ 1 2.90000+ 1 2.13024- 6 1.41601- 2 2.40000+ 1 3.00000+ 1 5.59181- 6 1.41773- 2 2.40000+ 1 3.20000+ 1 3.46157- 6 1.42265- 2 2.40000+ 1 3.30000+ 1 7.72193- 6 1.42282- 2 2.50000+ 1 2.50000+ 1 4.49948- 6 1.41492- 2 2.50000+ 1 2.70000+ 1 6.89925- 6 1.41274- 2 2.50000+ 1 2.90000+ 1 9.59892- 6 1.41641- 2 2.50000+ 1 3.00000+ 1 5.09927- 6 1.41812- 2 2.50000+ 1 3.20000+ 1 7.79910- 6 1.42304- 2 2.50000+ 1 3.30000+ 1 7.49920- 6 1.42321- 2 2.70000+ 1 2.70000+ 1 1.74577- 5 1.41055- 2 2.70000+ 1 2.90000+ 1 2.90954- 5 1.41422- 2 2.70000+ 1 3.00000+ 1 4.34206- 5 1.41594- 2 2.70000+ 1 3.20000+ 1 1.38767- 5 1.42086- 2 2.70000+ 1 3.30000+ 1 1.70102- 5 1.42103- 2 2.90000+ 1 3.00000+ 1 6.94947- 7 1.41961- 2 2.90000+ 1 3.20000+ 1 1.38993- 6 1.42453- 2 2.90000+ 1 3.30000+ 1 6.94947- 6 1.42470- 2 3.00000+ 1 3.00000+ 1 1.23363- 6 1.42133- 2 3.00000+ 1 3.20000+ 1 1.85046- 6 1.42625- 2 3.00000+ 1 3.30000+ 1 1.23363- 6 1.42642- 2 3.20000+ 1 3.20000+ 1 1.93580- 7 1.43117- 2 3.20000+ 1 3.30000+ 1 3.09734- 6 1.43134- 2 3.30000+ 1 3.30000+ 1 8.71345- 7 1.43151- 2 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 6.95607- 6 1.85400- 3 8.00000+ 0 7.85037- 3 1.03746- 2 1.10000+ 1 2.97149- 4 1.10420- 2 1.30000+ 1 2.89469- 1 1.14753- 2 1.60000+ 1 1.98829- 3 1.30286- 2 1.90000+ 1 8.03546- 5 1.32386- 2 2.10000+ 1 5.71418- 2 1.34225- 2 2.40000+ 1 2.06709- 4 1.36786- 2 2.70000+ 1 4.01948- 4 1.36608- 2 3.00000+ 1 1.59679- 5 1.37146- 2 3.20000+ 1 5.22218- 3 1.37638- 2 4.10000+ 1 2.93019- 5 1.37677- 2 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 5.69511- 3 1.10660- 3 6.00000+ 0 1.80000+ 1 3.88984- 2 1.21772- 3 6.00000+ 0 1.90000+ 1 1.11258- 2 1.31661- 3 6.00000+ 0 2.10000+ 1 4.09799- 2 1.50052- 3 6.00000+ 0 2.20000+ 1 1.41641- 2 1.51895- 3 6.00000+ 0 2.40000+ 1 1.55811- 3 1.75663- 3 6.00000+ 0 2.50000+ 1 2.34316- 3 1.76061- 3 6.00000+ 0 2.70000+ 1 1.04423- 3 1.73877- 3 6.00000+ 0 2.90000+ 1 6.28504- 3 1.77545- 3 6.00000+ 0 3.00000+ 1 1.81168- 3 1.79263- 3 6.00000+ 0 3.20000+ 1 3.44643- 3 1.84184- 3 6.00000+ 0 3.30000+ 1 1.12750- 3 1.84354- 3 8.00000+ 0 8.00000+ 0 6.12147- 4 6.97320- 3 8.00000+ 0 1.00000+ 1 2.05751- 2 7.23030- 3 8.00000+ 0 1.10000+ 1 1.94332- 3 7.64060- 3 8.00000+ 0 1.30000+ 1 3.00619- 3 8.07390- 3 8.00000+ 0 1.40000+ 1 1.96554- 3 8.16240- 3 8.00000+ 0 1.60000+ 1 2.33471- 4 9.62720- 3 8.00000+ 0 1.80000+ 1 3.23976- 3 9.73832- 3 8.00000+ 0 1.90000+ 1 4.07418- 4 9.83721- 3 8.00000+ 0 2.10000+ 1 4.49779- 4 1.00211- 2 8.00000+ 0 2.20000+ 1 2.50604- 4 1.00395- 2 8.00000+ 0 2.40000+ 1 8.97505- 5 1.02772- 2 8.00000+ 0 2.50000+ 1 6.15169- 5 1.02812- 2 8.00000+ 0 2.70000+ 1 4.43724- 5 1.02594- 2 8.00000+ 0 2.90000+ 1 5.21381- 4 1.02960- 2 8.00000+ 0 3.00000+ 1 6.60533- 5 1.03132- 2 8.00000+ 0 3.20000+ 1 3.73132- 5 1.03624- 2 8.00000+ 0 3.30000+ 1 1.91611- 5 1.03641- 2 1.00000+ 1 1.00000+ 1 2.13726- 2 7.48740- 3 1.00000+ 1 1.10000+ 1 5.58632- 2 7.89770- 3 1.00000+ 1 1.30000+ 1 2.91386- 2 8.33100- 3 1.00000+ 1 1.40000+ 1 4.25129- 2 8.41950- 3 1.00000+ 1 1.60000+ 1 5.21754- 3 9.88430- 3 1.00000+ 1 1.80000+ 1 8.58293- 3 9.99542- 3 1.00000+ 1 1.90000+ 1 1.28550- 2 1.00943- 2 1.00000+ 1 2.10000+ 1 6.16307- 3 1.02782- 2 1.00000+ 1 2.20000+ 1 8.95382- 3 1.02966- 2 1.00000+ 1 2.40000+ 1 4.46776- 4 1.05343- 2 1.00000+ 1 2.50000+ 1 3.95837- 4 1.05383- 2 1.00000+ 1 2.70000+ 1 1.04631- 3 1.05165- 2 1.00000+ 1 2.90000+ 1 1.45683- 3 1.05531- 2 1.00000+ 1 3.00000+ 1 2.13246- 3 1.05703- 2 1.00000+ 1 3.20000+ 1 5.37546- 4 1.06195- 2 1.00000+ 1 3.30000+ 1 7.33719- 4 1.06212- 2 1.10000+ 1 1.10000+ 1 1.30649- 3 8.30800- 3 1.10000+ 1 1.30000+ 1 2.74997- 2 8.74130- 3 1.10000+ 1 1.40000+ 1 3.94567- 3 8.82980- 3 1.10000+ 1 1.60000+ 1 4.14983- 4 1.02946- 2 1.10000+ 1 1.80000+ 1 8.99756- 3 1.04057- 2 1.10000+ 1 1.90000+ 1 5.15338- 4 1.05046- 2 1.10000+ 1 2.10000+ 1 4.89818- 3 1.06885- 2 1.10000+ 1 2.20000+ 1 6.73668- 4 1.07069- 2 1.10000+ 1 2.40000+ 1 1.95658- 4 1.09446- 2 1.10000+ 1 2.50000+ 1 1.04378- 4 1.09486- 2 1.10000+ 1 2.70000+ 1 8.01753- 5 1.09268- 2 1.10000+ 1 2.90000+ 1 1.45380- 3 1.09634- 2 1.10000+ 1 3.00000+ 1 8.32026- 5 1.09806- 2 1.10000+ 1 3.20000+ 1 4.15503- 4 1.10298- 2 1.10000+ 1 3.30000+ 1 5.34492- 5 1.10315- 2 1.30000+ 1 1.30000+ 1 2.60131- 2 9.17460- 3 1.30000+ 1 1.40000+ 1 1.04296- 1 9.26310- 3 1.30000+ 1 1.60000+ 1 7.62929- 4 1.07279- 2 1.30000+ 1 1.80000+ 1 4.57135- 3 1.08390- 2 1.30000+ 1 1.90000+ 1 5.88242- 3 1.09379- 2 1.30000+ 1 2.10000+ 1 9.13188- 3 1.11218- 2 1.30000+ 1 2.20000+ 1 1.97145- 2 1.11402- 2 1.30000+ 1 2.40000+ 1 1.61109- 3 1.13779- 2 1.30000+ 1 2.50000+ 1 3.26549- 3 1.13819- 2 1.30000+ 1 2.70000+ 1 1.53283- 4 1.13601- 2 1.30000+ 1 2.90000+ 1 7.40753- 4 1.13967- 2 1.30000+ 1 3.00000+ 1 9.62054- 4 1.14139- 2 1.30000+ 1 3.20000+ 1 7.75998- 4 1.14631- 2 1.30000+ 1 3.30000+ 1 1.58838- 3 1.14648- 2 1.40000+ 1 1.40000+ 1 5.05195- 3 9.35160- 3 1.40000+ 1 1.60000+ 1 4.02879- 4 1.08164- 2 1.40000+ 1 1.80000+ 1 5.89358- 3 1.09275- 2 1.40000+ 1 1.90000+ 1 7.76005- 4 1.10264- 2 1.40000+ 1 2.10000+ 1 1.50633- 2 1.12103- 2 1.40000+ 1 2.20000+ 1 1.73609- 3 1.12287- 2 1.40000+ 1 2.40000+ 1 6.45439- 4 1.14664- 2 1.40000+ 1 2.50000+ 1 2.47575- 4 1.14704- 2 1.40000+ 1 2.70000+ 1 7.76516- 5 1.14486- 2 1.40000+ 1 2.90000+ 1 9.23263- 4 1.14852- 2 1.40000+ 1 3.00000+ 1 1.25052- 4 1.15024- 2 1.40000+ 1 3.20000+ 1 1.23591- 3 1.15516- 2 1.40000+ 1 3.30000+ 1 1.38164- 4 1.15533- 2 1.60000+ 1 1.60000+ 1 2.16823- 5 1.22812- 2 1.60000+ 1 1.80000+ 1 8.26949- 4 1.23923- 2 1.60000+ 1 1.90000+ 1 8.77344- 5 1.24912- 2 1.60000+ 1 2.10000+ 1 1.10927- 4 1.26751- 2 1.60000+ 1 2.20000+ 1 5.14311- 5 1.26935- 2 1.60000+ 1 2.40000+ 1 2.01682- 5 1.29312- 2 1.60000+ 1 2.50000+ 1 1.10927- 5 1.29352- 2 1.60000+ 1 2.70000+ 1 8.06745- 6 1.29134- 2 1.60000+ 1 2.90000+ 1 1.33114- 4 1.29500- 2 1.60000+ 1 3.00000+ 1 1.41179- 5 1.29672- 2 1.60000+ 1 3.20000+ 1 9.07614- 6 1.30164- 2 1.60000+ 1 3.30000+ 1 4.03383- 6 1.30181- 2 1.80000+ 1 1.80000+ 1 8.19386- 4 1.25034- 2 1.80000+ 1 1.90000+ 1 2.07692- 3 1.26023- 2 1.80000+ 1 2.10000+ 1 9.51981- 4 1.27862- 2 1.80000+ 1 2.20000+ 1 1.25301- 3 1.28047- 2 1.80000+ 1 2.40000+ 1 5.69785- 5 1.30423- 2 1.80000+ 1 2.50000+ 1 4.08437- 5 1.30463- 2 1.80000+ 1 2.70000+ 1 1.65892- 4 1.30245- 2 1.80000+ 1 2.90000+ 1 2.75311- 4 1.30612- 2 1.80000+ 1 3.00000+ 1 3.44389- 4 1.30783- 2 1.80000+ 1 3.20000+ 1 8.26971- 5 1.31276- 2 1.80000+ 1 3.30000+ 1 1.02865- 4 1.31293- 2 1.90000+ 1 1.90000+ 1 5.09279- 5 1.27012- 2 1.90000+ 1 2.10000+ 1 1.05586- 3 1.28851- 2 1.90000+ 1 2.20000+ 1 1.34629- 4 1.29036- 2 1.90000+ 1 2.40000+ 1 3.52955- 5 1.31412- 2 1.90000+ 1 2.50000+ 1 1.76479- 5 1.31452- 2 1.90000+ 1 2.70000+ 1 1.71445- 5 1.31234- 2 1.90000+ 1 2.90000+ 1 3.35813- 4 1.31601- 2 1.90000+ 1 3.00000+ 1 1.66391- 5 1.31772- 2 1.90000+ 1 3.20000+ 1 8.97499- 5 1.32264- 2 1.90000+ 1 3.30000+ 1 1.05887- 5 1.32281- 2 2.10000+ 1 2.10000+ 1 7.93138- 4 1.30690- 2 2.10000+ 1 2.20000+ 1 2.96350- 3 1.30875- 2 2.10000+ 1 2.40000+ 1 1.94125- 4 1.33251- 2 2.10000+ 1 2.50000+ 1 3.97836- 4 1.33291- 2 2.10000+ 1 2.70000+ 1 2.21875- 5 1.33073- 2 2.10000+ 1 2.90000+ 1 1.53795- 4 1.33440- 2 2.10000+ 1 3.00000+ 1 1.72949- 4 1.33611- 2 2.10000+ 1 3.20000+ 1 1.34631- 4 1.34104- 2 2.10000+ 1 3.30000+ 1 2.40019- 4 1.34121- 2 2.20000+ 1 2.20000+ 1 1.58840- 4 1.31059- 2 2.20000+ 1 2.40000+ 1 8.90158- 5 1.33436- 2 2.20000+ 1 2.50000+ 1 3.46475- 5 1.33476- 2 2.20000+ 1 2.70000+ 1 1.06601- 5 1.33257- 2 2.20000+ 1 2.90000+ 1 2.07883- 4 1.33624- 2 2.20000+ 1 3.00000+ 1 2.29210- 5 1.33796- 2 2.20000+ 1 3.20000+ 1 2.58514- 4 1.34288- 2 2.20000+ 1 3.30000+ 1 2.55848- 5 1.34305- 2 2.40000+ 1 2.40000+ 1 4.38635- 6 1.35813- 2 2.40000+ 1 2.50000+ 1 3.12518- 5 1.35852- 2 2.40000+ 1 2.70000+ 1 4.38635- 6 1.35634- 2 2.40000+ 1 2.90000+ 1 9.86931- 6 1.36001- 2 2.40000+ 1 3.00000+ 1 6.03120- 6 1.36173- 2 2.40000+ 1 3.20000+ 1 1.69970- 5 1.36665- 2 2.40000+ 1 3.30000+ 1 7.12763- 6 1.36682- 2 2.50000+ 1 2.50000+ 1 2.34108- 6 1.35892- 2 2.50000+ 1 2.70000+ 1 2.34108- 6 1.35674- 2 2.50000+ 1 2.90000+ 1 7.02343- 6 1.36041- 2 2.50000+ 1 3.00000+ 1 2.92639- 6 1.36212- 2 2.50000+ 1 3.20000+ 1 3.68734- 5 1.36704- 2 2.50000+ 1 3.30000+ 1 2.92639- 6 1.36721- 2 2.70000+ 1 2.70000+ 1 1.11207- 6 1.35455- 2 2.70000+ 1 2.90000+ 1 2.94723- 5 1.35822- 2 2.70000+ 1 3.00000+ 1 2.78025- 6 1.35994- 2 2.70000+ 1 3.20000+ 1 2.22416- 6 1.36486- 2 2.70000+ 1 3.30000+ 1 5.56061- 7 1.36503- 2 2.90000+ 1 2.90000+ 1 2.60952- 5 1.36189- 2 2.90000+ 1 3.00000+ 1 6.24019- 5 1.36361- 2 2.90000+ 1 3.20000+ 1 1.47489- 5 1.36853- 2 2.90000+ 1 3.30000+ 1 1.81535- 5 1.36870- 2 3.00000+ 1 3.00000+ 1 2.02534- 6 1.36533- 2 3.00000+ 1 3.20000+ 1 1.95782- 5 1.37025- 2 3.00000+ 1 3.30000+ 1 2.02534- 6 1.37042- 2 3.20000+ 1 3.20000+ 1 5.54684- 6 1.37517- 2 3.20000+ 1 3.30000+ 1 1.96660- 5 1.37534- 2 3.30000+ 1 3.30000+ 1 9.31626- 7 1.37551- 2 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.45879- 2 8.52060- 3 1.00000+ 1 1.41799- 4 8.77770- 3 1.10000+ 1 1.28289- 4 9.18800- 3 1.30000+ 1 2.53848- 2 9.62130- 3 1.40000+ 1 2.23628- 1 9.70980- 3 1.60000+ 1 3.06008- 3 1.11746- 2 1.80000+ 1 3.16198- 5 1.12857- 2 1.90000+ 1 3.18628- 5 1.13846- 2 2.10000+ 1 4.63507- 3 1.15685- 2 2.20000+ 1 4.17767- 2 1.15869- 2 2.40000+ 1 3.07468- 5 1.18246- 2 2.50000+ 1 1.72179- 4 1.18286- 2 2.70000+ 1 6.46205- 4 1.18068- 2 2.90000+ 1 6.61705- 6 1.18434- 2 3.00000+ 1 6.62065- 6 1.18606- 2 3.20000+ 1 4.15557- 4 1.19098- 2 3.30000+ 1 3.60947- 3 1.19115- 2 4.10000+ 1 4.87647- 5 1.19137- 2 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 7.87602- 4 5.11920- 3 8.00000+ 0 1.00000+ 1 4.12845- 4 5.37630- 3 8.00000+ 0 1.10000+ 1 2.18256- 2 5.78660- 3 8.00000+ 0 1.30000+ 1 2.63012- 3 6.21990- 3 8.00000+ 0 1.40000+ 1 4.22427- 3 6.30840- 3 8.00000+ 0 1.60000+ 1 3.01759- 4 7.77320- 3 8.00000+ 0 1.80000+ 1 7.35408- 5 7.88432- 3 8.00000+ 0 1.90000+ 1 3.36711- 3 7.98321- 3 8.00000+ 0 2.10000+ 1 2.67277- 4 8.16712- 3 8.00000+ 0 2.20000+ 1 3.91539- 4 8.18555- 3 8.00000+ 0 2.40000+ 1 2.05921- 4 8.42323- 3 8.00000+ 0 2.50000+ 1 3.66167- 4 8.42721- 3 8.00000+ 0 2.70000+ 1 5.73100- 5 8.40537- 3 8.00000+ 0 2.90000+ 1 1.21719- 5 8.44205- 3 8.00000+ 0 3.00000+ 1 5.17812- 4 8.45923- 3 8.00000+ 0 3.20000+ 1 2.07934- 5 8.50844- 3 8.00000+ 0 3.30000+ 1 2.78951- 5 8.51014- 3 1.00000+ 1 1.00000+ 1 5.52808- 5 5.63340- 3 1.00000+ 1 1.10000+ 1 3.66482- 2 6.04370- 3 1.00000+ 1 1.30000+ 1 1.79387- 3 6.47700- 3 1.00000+ 1 1.40000+ 1 1.55118- 2 6.56550- 3 1.00000+ 1 1.60000+ 1 8.41896- 5 8.03030- 3 1.00000+ 1 1.80000+ 1 2.48510- 5 8.14142- 3 1.00000+ 1 1.90000+ 1 5.86880- 3 8.24031- 3 1.00000+ 1 2.10000+ 1 3.35726- 4 8.42422- 3 1.00000+ 1 2.20000+ 1 2.39930- 3 8.44265- 3 1.00000+ 1 2.40000+ 1 2.06419- 4 8.68033- 3 1.00000+ 1 2.50000+ 1 5.24914- 4 8.68431- 3 1.00000+ 1 2.70000+ 1 1.62297- 5 8.66247- 3 1.00000+ 1 2.90000+ 1 4.56452- 6 8.69915- 3 1.00000+ 1 3.00000+ 1 9.08327- 4 8.71633- 3 1.00000+ 1 3.20000+ 1 2.89080- 5 8.76554- 3 1.00000+ 1 3.30000+ 1 1.88148- 4 8.76724- 3 1.10000+ 1 1.10000+ 1 4.68191- 2 6.45400- 3 1.10000+ 1 1.30000+ 1 4.90007- 2 6.88730- 3 1.10000+ 1 1.40000+ 1 6.71664- 2 6.97580- 3 1.10000+ 1 1.60000+ 1 5.45854- 3 8.44060- 3 1.10000+ 1 1.80000+ 1 8.20692- 3 8.55172- 3 1.10000+ 1 1.90000+ 1 1.81358- 2 8.65061- 3 1.10000+ 1 2.10000+ 1 9.76319- 3 8.83452- 3 1.10000+ 1 2.20000+ 1 1.31758- 2 8.85295- 3 1.10000+ 1 2.40000+ 1 8.01279- 4 9.09063- 3 1.10000+ 1 2.50000+ 1 9.96072- 4 9.09461- 3 1.10000+ 1 2.70000+ 1 1.09141- 3 9.07277- 3 1.10000+ 1 2.90000+ 1 1.41650- 3 9.10945- 3 1.10000+ 1 3.00000+ 1 2.92430- 3 9.12663- 3 1.10000+ 1 3.20000+ 1 8.44401- 4 9.17584- 3 1.10000+ 1 3.30000+ 1 1.06808- 3 9.17754- 3 1.30000+ 1 1.30000+ 1 6.83961- 3 7.32060- 3 1.30000+ 1 1.40000+ 1 1.28276- 1 7.40910- 3 1.30000+ 1 1.60000+ 1 6.28383- 4 8.87390- 3 1.30000+ 1 1.80000+ 1 4.18418- 4 8.98502- 3 1.30000+ 1 1.90000+ 1 7.16190- 3 9.08391- 3 1.30000+ 1 2.10000+ 1 2.33003- 3 9.26782- 3 1.30000+ 1 2.20000+ 1 1.82702- 2 9.28625- 3 1.30000+ 1 2.40000+ 1 4.45291- 4 9.52393- 3 1.30000+ 1 2.50000+ 1 1.51384- 3 9.52791- 3 1.30000+ 1 2.70000+ 1 1.24762- 4 9.50607- 3 1.30000+ 1 2.90000+ 1 7.25250- 5 9.54275- 3 1.30000+ 1 3.00000+ 1 1.08992- 3 9.55993- 3 1.30000+ 1 3.20000+ 1 1.97290- 4 9.60914- 3 1.30000+ 1 3.30000+ 1 1.41042- 3 9.61084- 3 1.40000+ 1 1.40000+ 1 8.55786- 2 7.49760- 3 1.40000+ 1 1.60000+ 1 1.03303- 3 8.96240- 3 1.40000+ 1 1.80000+ 1 3.15749- 3 9.07352- 3 1.40000+ 1 1.90000+ 1 1.10743- 2 9.17241- 3 1.40000+ 1 2.10000+ 1 2.20864- 2 9.35632- 3 1.40000+ 1 2.20000+ 1 2.78474- 2 9.37475- 3 1.40000+ 1 2.40000+ 1 4.72005- 3 9.61243- 3 1.40000+ 1 2.50000+ 1 4.30317- 3 9.61641- 3 1.40000+ 1 2.70000+ 1 2.07428- 4 9.59457- 3 1.40000+ 1 2.90000+ 1 5.35572- 4 9.63125- 3 1.40000+ 1 3.00000+ 1 1.73548- 3 9.64843- 3 1.40000+ 1 3.20000+ 1 1.86934- 3 9.69764- 3 1.40000+ 1 3.30000+ 1 2.20054- 3 9.69934- 3 1.60000+ 1 1.60000+ 1 2.94137- 5 1.04272- 2 1.60000+ 1 1.80000+ 1 1.57210- 5 1.05383- 2 1.60000+ 1 1.90000+ 1 8.41843- 4 1.06372- 2 1.60000+ 1 2.10000+ 1 6.94746- 5 1.08211- 2 1.60000+ 1 2.20000+ 1 1.03958- 4 1.08395- 2 1.60000+ 1 2.40000+ 1 2.78930- 5 1.10772- 2 1.60000+ 1 2.50000+ 1 5.62915- 5 1.10812- 2 1.60000+ 1 2.70000+ 1 1.11568- 5 1.10594- 2 1.60000+ 1 2.90000+ 1 2.53560- 6 1.10960- 2 1.60000+ 1 3.00000+ 1 1.29318- 4 1.11132- 2 1.60000+ 1 3.20000+ 1 5.57849- 6 1.11624- 2 1.60000+ 1 3.30000+ 1 7.60690- 6 1.11641- 2 1.80000+ 1 1.80000+ 1 1.52144- 6 1.06494- 2 1.80000+ 1 1.90000+ 1 1.30687- 3 1.07483- 2 1.80000+ 1 2.10000+ 1 7.40434- 5 1.09322- 2 1.80000+ 1 2.20000+ 1 5.18826- 4 1.09507- 2 1.80000+ 1 2.40000+ 1 2.99221- 5 1.11883- 2 1.80000+ 1 2.50000+ 1 7.30281- 5 1.11923- 2 1.80000+ 1 2.70000+ 1 3.04288- 6 1.11705- 2 1.80000+ 1 2.90000+ 1 5.07162- 7 1.12072- 2 1.80000+ 1 3.00000+ 1 2.01853- 4 1.12243- 2 1.80000+ 1 3.20000+ 1 6.08594- 6 1.12736- 2 1.80000+ 1 3.30000+ 1 4.10806- 5 1.12753- 2 1.90000+ 1 1.90000+ 1 1.68123- 3 1.08472- 2 1.90000+ 1 2.10000+ 1 1.43063- 3 1.10311- 2 1.90000+ 1 2.20000+ 1 2.13968- 3 1.10496- 2 1.90000+ 1 2.40000+ 1 9.68700- 5 1.12872- 2 1.90000+ 1 2.50000+ 1 1.26793- 4 1.12912- 2 1.90000+ 1 2.70000+ 1 1.68384- 4 1.12694- 2 1.90000+ 1 2.90000+ 1 2.25192- 4 1.13061- 2 1.90000+ 1 3.00000+ 1 5.37579- 4 1.13232- 2 1.90000+ 1 3.20000+ 1 1.23749- 4 1.13724- 2 1.90000+ 1 3.30000+ 1 1.72939- 4 1.13741- 2 2.10000+ 1 2.10000+ 1 1.90688- 4 1.12150- 2 2.10000+ 1 2.20000+ 1 3.28383- 3 1.12335- 2 2.10000+ 1 2.40000+ 1 5.07157- 5 1.14711- 2 2.10000+ 1 2.50000+ 1 1.64828- 4 1.14751- 2 2.10000+ 1 2.70000+ 1 1.42000- 5 1.14533- 2 2.10000+ 1 2.90000+ 1 1.26792- 5 1.14900- 2 2.10000+ 1 3.00000+ 1 2.18081- 4 1.15071- 2 2.10000+ 1 3.20000+ 1 3.19513- 5 1.15564- 2 2.10000+ 1 3.30000+ 1 2.55096- 4 1.15581- 2 2.20000+ 1 2.20000+ 1 2.35579- 3 1.12519- 2 2.20000+ 1 2.40000+ 1 5.45112- 4 1.14896- 2 2.20000+ 1 2.50000+ 1 4.88974- 4 1.14936- 2 2.20000+ 1 2.70000+ 1 2.20343- 5 1.14717- 2 2.20000+ 1 2.90000+ 1 9.18154- 5 1.15084- 2 2.20000+ 1 3.00000+ 1 3.45751- 4 1.15256- 2 2.20000+ 1 3.20000+ 1 2.89076- 4 1.15748- 2 2.20000+ 1 3.30000+ 1 3.72515- 4 1.15765- 2 2.40000+ 1 2.40000+ 1 2.42982- 6 1.17273- 2 2.40000+ 1 2.50000+ 1 6.74279- 5 1.17312- 2 2.40000+ 1 2.70000+ 1 6.07458- 6 1.17094- 2 2.40000+ 1 2.90000+ 1 6.07458- 6 1.17461- 2 2.40000+ 1 3.00000+ 1 1.70084- 5 1.17633- 2 2.40000+ 1 3.20000+ 1 4.85979- 6 1.18125- 2 2.40000+ 1 3.30000+ 1 4.67739- 5 1.18142- 2 2.50000+ 1 2.50000+ 1 1.98876- 5 1.17352- 2 2.50000+ 1 2.70000+ 1 1.07095- 5 1.17134- 2 2.50000+ 1 2.90000+ 1 1.17292- 5 1.17501- 2 2.50000+ 1 3.00000+ 1 1.88679- 5 1.17672- 2 2.50000+ 1 3.20000+ 1 1.32594- 5 1.18164- 2 2.50000+ 1 3.30000+ 1 3.51857- 5 1.18181- 2 2.70000+ 1 2.70000+ 1 1.47682- 6 1.16915- 2 2.70000+ 1 2.90000+ 1 7.38413- 7 1.17282- 2 2.70000+ 1 3.00000+ 1 3.76575- 5 1.17454- 2 2.70000+ 1 3.20000+ 1 1.47682- 6 1.17946- 2 2.70000+ 1 3.30000+ 1 2.21517- 6 1.17963- 2 2.90000+ 1 3.00000+ 1 5.87984- 5 1.17821- 2 2.90000+ 1 3.20000+ 1 1.70434- 6 1.18313- 2 2.90000+ 1 3.30000+ 1 1.19308- 5 1.18330- 2 3.00000+ 1 3.00000+ 1 8.05647- 5 1.17993- 2 3.00000+ 1 3.20000+ 1 3.50692- 5 1.18485- 2 3.00000+ 1 3.30000+ 1 5.02349- 5 1.18502- 2 3.20000+ 1 3.20000+ 1 1.42141- 6 1.18977- 2 3.20000+ 1 3.30000+ 1 2.03744- 5 1.18994- 2 3.30000+ 1 3.30000+ 1 1.41999- 5 1.19011- 2 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.01988- 5 2.57100- 4 1.10000+ 1 3.85919- 4 6.67400- 4 1.80000+ 1 1.33870- 3 2.76512- 3 1.90000+ 1 1.11950- 3 2.86401- 3 2.90000+ 1 2.90393- 4 3.32285- 3 3.00000+ 1 2.53015- 4 3.34003- 3 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 3.36047- 2 1.59730- 4 1.00000+ 1 2.50000+ 1 4.51776- 2 1.63710- 4 1.00000+ 1 2.70000+ 1 1.10308- 2 1.41870- 4 1.00000+ 1 2.90000+ 1 1.04051- 2 1.78550- 4 1.00000+ 1 3.00000+ 1 1.38740- 2 1.95730- 4 1.00000+ 1 3.20000+ 1 4.94418- 3 2.44940- 4 1.00000+ 1 3.30000+ 1 6.40380- 3 2.46640- 4 1.00000+ 1 4.10000+ 1 4.22118- 4 2.48800- 4 1.10000+ 1 1.80000+ 1 6.09743- 2 3.11200- 5 1.10000+ 1 1.90000+ 1 6.43419- 2 1.30010- 4 1.10000+ 1 2.10000+ 1 2.15048- 2 3.13920- 4 1.10000+ 1 2.20000+ 1 3.46820- 2 3.32350- 4 1.10000+ 1 2.40000+ 1 1.68679- 1 5.70030- 4 1.10000+ 1 2.50000+ 1 2.09441- 1 5.74010- 4 1.10000+ 1 2.70000+ 1 1.04307- 2 5.52170- 4 1.10000+ 1 2.90000+ 1 9.68680- 3 5.88850- 4 1.10000+ 1 3.00000+ 1 1.03850- 2 6.06030- 4 1.10000+ 1 3.20000+ 1 1.74295- 3 6.55240- 4 1.10000+ 1 3.30000+ 1 2.75761- 3 6.56940- 4 1.10000+ 1 4.10000+ 1 4.07475- 4 6.59100- 4 1.30000+ 1 1.60000+ 1 2.56743- 2 3.53300- 4 1.30000+ 1 1.80000+ 1 5.61926- 3 4.64420- 4 1.30000+ 1 1.90000+ 1 6.57813- 3 5.63310- 4 1.30000+ 1 2.10000+ 1 8.75449- 3 7.47220- 4 1.30000+ 1 2.20000+ 1 1.08522- 2 7.65650- 4 1.30000+ 1 2.40000+ 1 8.67157- 3 1.00333- 3 1.30000+ 1 2.50000+ 1 8.00253- 3 1.00731- 3 1.30000+ 1 2.70000+ 1 3.31462- 3 9.85470- 4 1.30000+ 1 2.90000+ 1 7.63765- 4 1.02215- 3 1.30000+ 1 3.00000+ 1 8.32119- 4 1.03933- 3 1.30000+ 1 3.20000+ 1 6.35184- 4 1.08854- 3 1.30000+ 1 3.30000+ 1 7.96243- 4 1.09024- 3 1.30000+ 1 4.10000+ 1 1.22721- 4 1.09240- 3 1.40000+ 1 1.60000+ 1 3.59233- 2 4.41800- 4 1.40000+ 1 1.80000+ 1 9.84687- 4 5.52920- 4 1.40000+ 1 1.90000+ 1 1.10450- 2 6.51810- 4 1.40000+ 1 2.10000+ 1 1.21283- 2 8.35720- 4 1.40000+ 1 2.20000+ 1 1.73829- 2 8.54150- 4 1.40000+ 1 2.40000+ 1 9.85368- 3 1.09183- 3 1.40000+ 1 2.50000+ 1 1.53799- 2 1.09581- 3 1.40000+ 1 2.70000+ 1 4.60446- 3 1.07397- 3 1.40000+ 1 2.90000+ 1 1.55920- 4 1.11065- 3 1.40000+ 1 3.00000+ 1 1.38694- 3 1.12783- 3 1.40000+ 1 3.20000+ 1 9.49915- 4 1.17704- 3 1.40000+ 1 3.30000+ 1 1.22839- 3 1.17874- 3 1.40000+ 1 4.10000+ 1 1.69830- 4 1.18090- 3 1.60000+ 1 1.60000+ 1 2.64750- 3 1.90660- 3 1.60000+ 1 1.80000+ 1 4.59836- 3 2.01772- 3 1.60000+ 1 1.90000+ 1 7.66302- 3 2.11661- 3 1.60000+ 1 2.10000+ 1 8.79626- 3 2.30052- 3 1.60000+ 1 2.20000+ 1 1.24140- 2 2.31895- 3 1.60000+ 1 2.40000+ 1 6.00351- 3 2.55663- 3 1.60000+ 1 2.50000+ 1 7.54652- 3 2.56061- 3 1.60000+ 1 2.70000+ 1 8.68490- 4 2.53877- 3 1.60000+ 1 2.90000+ 1 7.98073- 4 2.57545- 3 1.60000+ 1 3.00000+ 1 1.26854- 3 2.59263- 3 1.60000+ 1 3.20000+ 1 7.52781- 4 2.64184- 3 1.60000+ 1 3.30000+ 1 9.98027- 4 2.64354- 3 1.60000+ 1 4.10000+ 1 3.35602- 5 2.64570- 3 1.80000+ 1 1.80000+ 1 1.97430- 4 2.12884- 3 1.80000+ 1 1.90000+ 1 5.58335- 4 2.22773- 3 1.80000+ 1 2.10000+ 1 2.96160- 4 2.41164- 3 1.80000+ 1 2.20000+ 1 1.68259- 4 2.43007- 3 1.80000+ 1 2.40000+ 1 4.67612- 5 2.66775- 3 1.80000+ 1 2.50000+ 1 4.48023- 4 2.67173- 3 1.80000+ 1 2.70000+ 1 5.72729- 4 2.64989- 3 1.80000+ 1 2.90000+ 1 5.19582- 5 2.68657- 3 1.80000+ 1 3.00000+ 1 6.89430- 5 2.70375- 3 1.80000+ 1 3.20000+ 1 2.23819- 5 2.75296- 3 1.80000+ 1 3.30000+ 1 1.59868- 5 2.75466- 3 1.80000+ 1 4.10000+ 1 2.11824- 5 2.75682- 3 1.90000+ 1 1.90000+ 1 6.58062- 4 2.32662- 3 1.90000+ 1 2.10000+ 1 6.00923- 4 2.51053- 3 1.90000+ 1 2.20000+ 1 1.39705- 3 2.52896- 3 1.90000+ 1 2.40000+ 1 5.74136- 4 2.76664- 3 1.90000+ 1 2.50000+ 1 1.00937- 3 2.77062- 3 1.90000+ 1 2.70000+ 1 9.58982- 4 2.74878- 3 1.90000+ 1 2.90000+ 1 8.21360- 5 2.78546- 3 1.90000+ 1 3.00000+ 1 1.83657- 4 2.80264- 3 1.90000+ 1 3.20000+ 1 5.19590- 5 2.85185- 3 1.90000+ 1 3.30000+ 1 1.07510- 4 2.85355- 3 1.90000+ 1 4.10000+ 1 3.55701- 5 2.85571- 3 2.10000+ 1 2.10000+ 1 1.05259- 4 2.69444- 3 2.10000+ 1 2.20000+ 1 4.33102- 4 2.71287- 3 2.10000+ 1 2.40000+ 1 4.57647- 4 2.95055- 3 2.10000+ 1 2.50000+ 1 3.15804- 3 2.95453- 3 2.10000+ 1 2.70000+ 1 1.12269- 3 2.93269- 3 2.10000+ 1 2.90000+ 1 3.59869- 5 2.96937- 3 2.10000+ 1 3.00000+ 1 8.13304- 5 2.98655- 3 2.10000+ 1 3.20000+ 1 1.45609- 5 3.03576- 3 2.10000+ 1 3.30000+ 1 2.99538- 5 3.03746- 3 2.10000+ 1 4.10000+ 1 4.13952- 5 3.03962- 3 2.20000+ 1 2.20000+ 1 2.65548- 4 2.73130- 3 2.20000+ 1 2.40000+ 1 2.92305- 3 2.96898- 3 2.20000+ 1 2.50000+ 1 1.74313- 3 2.97296- 3 2.20000+ 1 2.70000+ 1 1.55745- 3 2.95112- 3 2.20000+ 1 2.90000+ 1 2.25557- 5 2.98780- 3 2.20000+ 1 3.00000+ 1 1.84343- 4 3.00498- 3 2.20000+ 1 3.20000+ 1 2.91179- 5 3.05419- 3 2.20000+ 1 3.30000+ 1 3.56800- 5 3.05589- 3 2.20000+ 1 4.10000+ 1 5.74142- 5 3.05805- 3 2.40000+ 1 2.40000+ 1 5.64729- 4 3.20666- 3 2.40000+ 1 2.50000+ 1 3.84747- 3 3.21064- 3 2.40000+ 1 2.70000+ 1 6.78855- 4 3.18880- 3 2.40000+ 1 2.90000+ 1 5.79520- 6 3.22548- 3 2.40000+ 1 3.00000+ 1 5.55545- 5 3.24266- 3 2.40000+ 1 3.20000+ 1 3.43718- 5 3.29187- 3 2.40000+ 1 3.30000+ 1 2.27811- 4 3.29357- 3 2.40000+ 1 4.10000+ 1 2.47798- 5 3.29573- 3 2.50000+ 1 2.50000+ 1 1.32113- 3 3.21462- 3 2.50000+ 1 2.70000+ 1 8.56954- 4 3.19278- 3 2.50000+ 1 2.90000+ 1 6.93215- 5 3.22946- 3 2.50000+ 1 3.00000+ 1 1.04687- 4 3.24664- 3 2.50000+ 1 3.20000+ 1 2.53580- 4 3.29585- 3 2.50000+ 1 3.30000+ 1 1.32216- 4 3.29755- 3 2.50000+ 1 4.10000+ 1 3.13444- 5 3.29971- 3 2.70000+ 1 2.70000+ 1 8.51226- 5 3.17094- 3 2.70000+ 1 2.90000+ 1 1.30822- 4 3.20762- 3 2.70000+ 1 3.00000+ 1 2.07854- 4 3.22480- 3 2.70000+ 1 3.20000+ 1 1.21160- 4 3.27401- 3 2.70000+ 1 3.30000+ 1 1.60060- 4 3.27571- 3 2.70000+ 1 4.10000+ 1 6.52794- 6 3.27787- 3 2.90000+ 1 2.90000+ 1 7.55117- 6 3.24430- 3 2.90000+ 1 3.00000+ 1 2.17644- 5 3.26148- 3 2.90000+ 1 3.20000+ 1 5.77444- 6 3.31069- 3 2.90000+ 1 3.30000+ 1 4.88592- 6 3.31239- 3 2.90000+ 1 4.10000+ 1 8.43909- 6 3.31455- 3 3.00000+ 1 3.00000+ 1 2.90203- 5 3.27866- 3 3.00000+ 1 3.20000+ 1 1.59140- 5 3.32787- 3 3.00000+ 1 3.30000+ 1 3.27636- 5 3.32957- 3 3.00000+ 1 4.10000+ 1 1.35736- 5 3.33173- 3 3.20000+ 1 3.20000+ 1 7.21162- 7 3.37708- 3 3.20000+ 1 3.30000+ 1 3.60605- 6 3.37878- 3 3.20000+ 1 4.10000+ 1 6.13015- 6 3.38094- 3 3.30000+ 1 3.30000+ 1 2.30050- 6 3.38048- 3 3.30000+ 1 4.10000+ 1 8.81882- 6 3.38264- 3 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 9.33341- 4 8.43600- 4 1.60000+ 1 7.00061- 4 2.39690- 3 2.10000+ 1 3.73501- 3 2.79082- 3 2.70000+ 1 1.48000- 4 3.02907- 3 3.20000+ 1 3.96431- 4 3.13214- 3 4.10000+ 1 1.07680- 5 3.13600- 3 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 6.33658- 3 5.68200- 5 1.10000+ 1 2.20000+ 1 1.55844- 2 7.52500- 5 1.10000+ 1 2.40000+ 1 2.83063- 2 3.12930- 4 1.10000+ 1 2.50000+ 1 2.65118- 2 3.16910- 4 1.10000+ 1 2.70000+ 1 3.11674- 3 2.95070- 4 1.10000+ 1 2.90000+ 1 3.81956- 3 3.31750- 4 1.10000+ 1 3.00000+ 1 2.62420- 3 3.48930- 4 1.10000+ 1 3.20000+ 1 6.40341- 4 3.98140- 4 1.10000+ 1 3.30000+ 1 1.35740- 3 3.99840- 4 1.10000+ 1 4.10000+ 1 1.16804- 4 4.02000- 4 1.30000+ 1 1.60000+ 1 4.99221- 2 9.62000- 5 1.30000+ 1 1.80000+ 1 5.11106- 2 2.07320- 4 1.30000+ 1 1.90000+ 1 4.99490- 2 3.06210- 4 1.30000+ 1 2.10000+ 1 1.93818- 2 4.90120- 4 1.30000+ 1 2.20000+ 1 2.36726- 2 5.08550- 4 1.30000+ 1 2.40000+ 1 1.38849- 1 7.46230- 4 1.30000+ 1 2.50000+ 1 2.13696- 1 7.50210- 4 1.30000+ 1 2.70000+ 1 9.88842- 3 7.28370- 4 1.30000+ 1 2.90000+ 1 7.50756- 3 7.65050- 4 1.30000+ 1 3.00000+ 1 7.96924- 3 7.82230- 4 1.30000+ 1 3.20000+ 1 1.69856- 3 8.31440- 4 1.30000+ 1 3.30000+ 1 2.07022- 3 8.33140- 4 1.30000+ 1 4.10000+ 1 3.84964- 4 8.35300- 4 1.40000+ 1 1.60000+ 1 8.10752- 3 1.84700- 4 1.40000+ 1 1.80000+ 1 5.75218- 2 2.95820- 4 1.40000+ 1 1.90000+ 1 5.05575- 3 3.94710- 4 1.40000+ 1 2.10000+ 1 1.00557- 3 5.78620- 4 1.40000+ 1 2.20000+ 1 2.79927- 3 5.97050- 4 1.40000+ 1 2.40000+ 1 5.50827- 3 8.34730- 4 1.40000+ 1 2.50000+ 1 3.85974- 3 8.38710- 4 1.40000+ 1 2.70000+ 1 1.06558- 3 8.16870- 4 1.40000+ 1 2.90000+ 1 6.70993- 3 8.53550- 4 1.40000+ 1 3.00000+ 1 7.21524- 4 8.70730- 4 1.40000+ 1 3.20000+ 1 4.82327- 5 9.19940- 4 1.40000+ 1 3.30000+ 1 2.09308- 4 9.21640- 4 1.40000+ 1 4.10000+ 1 3.95949- 5 9.23800- 4 1.60000+ 1 1.60000+ 1 7.84984- 4 1.64950- 3 1.60000+ 1 1.80000+ 1 1.13338- 2 1.76062- 3 1.60000+ 1 1.90000+ 1 1.60071- 3 1.85951- 3 1.60000+ 1 2.10000+ 1 3.77910- 4 2.04342- 3 1.60000+ 1 2.20000+ 1 1.32508- 3 2.06185- 3 1.60000+ 1 2.40000+ 1 4.50536- 5 2.29953- 3 1.60000+ 1 2.50000+ 1 9.21202- 4 2.30351- 3 1.60000+ 1 2.70000+ 1 2.41696- 4 2.28167- 3 1.60000+ 1 2.90000+ 1 1.27951- 3 2.31835- 3 1.60000+ 1 3.00000+ 1 2.39571- 4 2.33553- 3 1.60000+ 1 3.20000+ 1 2.43820- 5 2.38474- 3 1.60000+ 1 3.30000+ 1 9.80586- 5 2.38644- 3 1.60000+ 1 4.10000+ 1 9.01053- 6 2.38860- 3 1.80000+ 1 1.80000+ 1 8.67788- 3 1.87174- 3 1.80000+ 1 1.90000+ 1 2.45756- 2 1.97063- 3 1.80000+ 1 2.10000+ 1 2.42912- 2 2.15454- 3 1.80000+ 1 2.20000+ 1 3.88394- 2 2.17297- 3 1.80000+ 1 2.40000+ 1 1.36411- 2 2.41065- 3 1.80000+ 1 2.50000+ 1 2.30133- 2 2.41463- 3 1.80000+ 1 2.70000+ 1 2.24326- 3 2.39279- 3 1.80000+ 1 2.90000+ 1 2.52616- 3 2.42947- 3 1.80000+ 1 3.00000+ 1 4.03793- 3 2.44665- 3 1.80000+ 1 3.20000+ 1 2.08258- 3 2.49586- 3 1.80000+ 1 3.30000+ 1 3.09330- 3 2.49756- 3 1.80000+ 1 4.10000+ 1 8.85215- 5 2.49972- 3 1.90000+ 1 1.90000+ 1 6.68932- 4 2.06952- 3 1.90000+ 1 2.10000+ 1 1.68453- 3 2.25343- 3 1.90000+ 1 2.20000+ 1 1.44703- 3 2.27186- 3 1.90000+ 1 2.40000+ 1 9.46726- 3 2.50954- 3 1.90000+ 1 2.50000+ 1 2.61900- 3 2.51352- 3 1.90000+ 1 2.70000+ 1 2.06193- 4 2.49168- 3 1.90000+ 1 2.90000+ 1 2.83758- 3 2.52836- 3 1.90000+ 1 3.00000+ 1 1.86050- 4 2.54554- 3 1.90000+ 1 3.20000+ 1 1.17672- 4 2.59475- 3 1.90000+ 1 3.30000+ 1 1.03362- 4 2.59645- 3 1.90000+ 1 4.10000+ 1 7.42080- 6 2.59861- 3 2.10000+ 1 2.10000+ 1 8.34817- 4 2.43734- 3 2.10000+ 1 2.20000+ 1 2.11698- 3 2.45577- 3 2.10000+ 1 2.40000+ 1 1.05532- 3 2.69345- 3 2.10000+ 1 2.50000+ 1 1.87157- 3 2.69743- 3 2.10000+ 1 2.70000+ 1 7.04957- 5 2.67559- 3 2.10000+ 1 2.90000+ 1 2.73131- 3 2.71227- 3 2.10000+ 1 3.00000+ 1 2.46990- 4 2.72945- 3 2.10000+ 1 3.20000+ 1 1.19788- 4 2.77866- 3 2.10000+ 1 3.30000+ 1 1.56894- 4 2.78036- 3 2.10000+ 1 4.10000+ 1 2.65011- 6 2.78252- 3 2.20000+ 1 2.20000+ 1 5.25790- 4 2.47420- 3 2.20000+ 1 2.40000+ 1 3.11003- 3 2.71188- 3 2.20000+ 1 2.50000+ 1 7.00177- 4 2.71586- 3 2.20000+ 1 2.70000+ 1 2.09361- 4 2.69402- 3 2.20000+ 1 2.90000+ 1 4.42841- 3 2.73070- 3 2.20000+ 1 3.00000+ 1 1.85513- 4 2.74788- 3 2.20000+ 1 3.20000+ 1 1.54772- 4 2.79709- 3 2.20000+ 1 3.30000+ 1 7.26169- 5 2.79879- 3 2.20000+ 1 4.10000+ 1 7.95062- 6 2.80095- 3 2.40000+ 1 2.40000+ 1 3.23595- 3 2.94956- 3 2.40000+ 1 2.50000+ 1 2.08284- 2 2.95354- 3 2.40000+ 1 2.70000+ 1 4.24017- 6 2.93170- 3 2.40000+ 1 2.90000+ 1 1.41838- 3 2.96838- 3 2.40000+ 1 3.00000+ 1 1.46127- 3 2.98556- 3 2.40000+ 1 3.20000+ 1 9.96435- 5 3.03477- 3 2.40000+ 1 3.30000+ 1 2.76170- 4 3.03647- 3 2.50000+ 1 2.50000+ 1 1.09084- 3 2.95752- 3 2.50000+ 1 2.70000+ 1 1.52123- 4 2.93568- 3 2.50000+ 1 2.90000+ 1 2.36027- 3 2.97236- 3 2.50000+ 1 3.00000+ 1 3.63057- 4 2.98954- 3 2.50000+ 1 3.20000+ 1 1.64312- 4 3.03875- 3 2.50000+ 1 3.30000+ 1 5.77745- 5 3.04045- 3 2.50000+ 1 4.10000+ 1 5.83044- 6 3.04261- 3 2.70000+ 1 2.70000+ 1 2.13855- 5 2.91384- 3 2.70000+ 1 2.90000+ 1 2.93285- 4 2.95052- 3 2.70000+ 1 3.00000+ 1 3.60486- 5 2.96770- 3 2.70000+ 1 3.20000+ 1 4.88807- 6 3.01691- 3 2.70000+ 1 3.30000+ 1 1.83305- 5 3.01861- 3 2.70000+ 1 4.10000+ 1 1.83305- 6 3.02077- 3 2.90000+ 1 2.90000+ 1 2.14482- 4 2.98720- 3 2.90000+ 1 3.00000+ 1 5.78679- 4 3.00438- 3 2.90000+ 1 3.20000+ 1 2.90350- 4 3.05359- 3 2.90000+ 1 3.30000+ 1 4.37467- 4 3.05529- 3 2.90000+ 1 4.10000+ 1 1.24244- 5 3.05745- 3 3.00000+ 1 3.00000+ 1 3.38116- 5 3.02156- 3 3.00000+ 1 3.20000+ 1 4.64908- 5 3.07077- 3 3.00000+ 1 3.30000+ 1 3.52202- 5 3.07247- 3 3.00000+ 1 4.10000+ 1 2.81762- 6 3.07463- 3 3.20000+ 1 3.20000+ 1 4.43372- 6 3.11998- 3 3.20000+ 1 3.30000+ 1 1.27473- 5 3.12168- 3 3.30000+ 1 3.30000+ 1 7.18728- 6 3.12338- 3 3.30000+ 1 4.10000+ 1 1.43753- 6 3.12554- 3 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.55410- 5 4.33300- 4 1.40000+ 1 2.57859- 4 5.21800- 4 1.60000+ 1 1.24560- 3 1.98660- 3 2.10000+ 1 6.08299- 4 2.38052- 3 2.20000+ 1 4.72619- 3 2.39895- 3 2.70000+ 1 2.50079- 4 2.61877- 3 3.20000+ 1 6.01279- 5 2.72184- 3 3.30000+ 1 4.59549- 4 2.72354- 3 4.10000+ 1 1.82220- 5 2.72570- 3 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.10000+ 1 1.03838- 2 7.98200- 5 1.30000+ 1 2.20000+ 1 1.04663- 2 9.82500- 5 1.30000+ 1 2.40000+ 1 1.58169- 2 3.35930- 4 1.30000+ 1 2.50000+ 1 2.30581- 2 3.39910- 4 1.30000+ 1 2.70000+ 1 2.41551- 3 3.18070- 4 1.30000+ 1 2.90000+ 1 1.98553- 3 3.54750- 4 1.30000+ 1 3.00000+ 1 6.63396- 3 3.71930- 4 1.30000+ 1 3.20000+ 1 7.56488- 4 4.21140- 4 1.30000+ 1 3.30000+ 1 7.41036- 4 4.22840- 4 1.30000+ 1 4.10000+ 1 9.22270- 5 4.25000- 4 1.40000+ 1 1.90000+ 1 7.34547- 2 0.00000+ 0 1.40000+ 1 2.10000+ 1 4.62801- 2 1.68320- 4 1.40000+ 1 2.20000+ 1 6.34233- 2 1.86750- 4 1.40000+ 1 2.40000+ 1 1.66943- 1 4.24430- 4 1.40000+ 1 2.50000+ 1 2.01482- 1 4.28410- 4 1.40000+ 1 2.70000+ 1 1.43501- 2 4.06570- 4 1.40000+ 1 2.90000+ 1 1.34338- 2 4.43250- 4 1.40000+ 1 3.00000+ 1 1.68393- 2 4.60430- 4 1.40000+ 1 3.20000+ 1 3.36319- 3 5.09640- 4 1.40000+ 1 3.30000+ 1 4.60227- 3 5.11340- 4 1.40000+ 1 4.10000+ 1 5.55977- 4 5.13500- 4 1.60000+ 1 1.60000+ 1 4.14059- 4 1.23920- 3 1.60000+ 1 1.80000+ 1 7.69356- 4 1.35032- 3 1.60000+ 1 1.90000+ 1 1.36335- 2 1.44921- 3 1.60000+ 1 2.10000+ 1 8.06846- 4 1.63312- 3 1.60000+ 1 2.20000+ 1 9.46722- 4 1.65155- 3 1.60000+ 1 2.40000+ 1 1.58570- 3 1.88923- 3 1.60000+ 1 2.50000+ 1 2.71430- 3 1.89321- 3 1.60000+ 1 2.70000+ 1 1.27573- 4 1.87137- 3 1.60000+ 1 2.90000+ 1 9.95964- 5 1.90805- 3 1.60000+ 1 3.00000+ 1 1.49955- 3 1.92523- 3 1.60000+ 1 3.20000+ 1 6.21074- 5 1.97444- 3 1.60000+ 1 3.30000+ 1 6.65846- 5 1.97614- 3 1.60000+ 1 4.10000+ 1 5.03580- 6 1.97830- 3 1.80000+ 1 1.80000+ 1 4.53211- 5 1.46144- 3 1.80000+ 1 1.90000+ 1 1.66792- 2 1.56033- 3 1.80000+ 1 2.10000+ 1 3.65926- 4 1.74424- 3 1.80000+ 1 2.20000+ 1 3.42826- 3 1.76267- 3 1.80000+ 1 2.40000+ 1 1.62091- 3 2.00035- 3 1.80000+ 1 2.50000+ 1 8.99648- 3 2.00433- 3 1.80000+ 1 2.70000+ 1 1.07429- 4 1.98249- 3 1.80000+ 1 2.90000+ 1 1.06308- 5 2.01917- 3 1.80000+ 1 3.00000+ 1 1.86990- 3 2.03635- 3 1.80000+ 1 3.20000+ 1 2.90947- 5 2.08556- 3 1.80000+ 1 3.30000+ 1 2.28841- 4 2.08726- 3 1.80000+ 1 4.10000+ 1 3.91664- 6 2.08942- 3 1.90000+ 1 1.90000+ 1 2.22639- 2 1.65922- 3 1.90000+ 1 2.10000+ 1 3.21592- 2 1.84313- 3 1.90000+ 1 2.20000+ 1 4.21775- 2 1.86156- 3 1.90000+ 1 2.40000+ 1 2.62966- 2 2.09924- 3 1.90000+ 1 2.50000+ 1 3.01083- 2 2.10322- 3 1.90000+ 1 2.70000+ 1 2.64754- 3 2.08138- 3 1.90000+ 1 2.90000+ 1 2.83544- 3 2.11806- 3 1.90000+ 1 3.00000+ 1 6.11791- 3 2.13524- 3 1.90000+ 1 3.20000+ 1 2.67859- 3 2.18445- 3 1.90000+ 1 3.30000+ 1 3.33054- 3 2.18615- 3 1.90000+ 1 4.10000+ 1 1.04074- 4 2.18831- 3 2.10000+ 1 2.10000+ 1 2.10374- 4 2.02704- 3 2.10000+ 1 2.20000+ 1 4.92978- 3 2.04547- 3 2.10000+ 1 2.40000+ 1 6.91547- 4 2.28315- 3 2.10000+ 1 2.50000+ 1 8.19114- 3 2.28713- 3 2.10000+ 1 2.70000+ 1 9.40000- 5 2.26529- 3 2.10000+ 1 2.90000+ 1 2.74173- 5 2.30197- 3 2.10000+ 1 3.00000+ 1 3.54621- 3 2.31915- 3 2.10000+ 1 3.20000+ 1 2.90949- 5 2.36836- 3 2.10000+ 1 3.30000+ 1 3.48032- 4 2.37006- 3 2.10000+ 1 4.10000+ 1 3.35698- 6 2.37222- 3 2.20000+ 1 2.20000+ 1 2.20168- 3 2.06390- 3 2.20000+ 1 2.40000+ 1 6.65669- 3 2.30158- 3 2.20000+ 1 2.50000+ 1 5.60551- 3 2.30556- 3 2.20000+ 1 2.70000+ 1 1.13027- 4 2.28372- 3 2.20000+ 1 2.90000+ 1 3.20068- 4 2.32040- 3 2.20000+ 1 3.00000+ 1 4.59703- 3 2.33758- 3 2.20000+ 1 3.20000+ 1 3.65935- 4 2.38679- 3 2.20000+ 1 3.30000+ 1 3.11088- 4 2.38849- 3 2.20000+ 1 4.10000+ 1 3.91674- 6 2.39065- 3 2.40000+ 1 2.40000+ 1 9.87542- 4 2.53926- 3 2.40000+ 1 2.50000+ 1 2.62332- 2 2.54324- 3 2.40000+ 1 2.70000+ 1 1.69534- 4 2.52140- 3 2.40000+ 1 2.90000+ 1 2.30518- 4 2.55808- 3 2.40000+ 1 3.00000+ 1 2.76741- 3 2.57526- 3 2.40000+ 1 3.20000+ 1 6.60226- 5 2.62447- 3 2.40000+ 1 3.30000+ 1 4.98543- 4 2.62617- 3 2.40000+ 1 4.10000+ 1 6.15477- 6 2.62833- 3 2.50000+ 1 2.50000+ 1 1.03337- 2 2.54722- 3 2.50000+ 1 2.70000+ 1 2.46200- 4 2.52538- 3 2.50000+ 1 2.90000+ 1 1.27236- 3 2.56206- 3 2.50000+ 1 3.00000+ 1 3.28173- 3 2.57924- 3 2.50000+ 1 3.20000+ 1 6.77028- 4 2.62845- 3 2.50000+ 1 3.30000+ 1 4.50982- 4 2.63015- 3 2.50000+ 1 4.10000+ 1 8.95234- 6 2.63231- 3 2.70000+ 1 2.70000+ 1 1.44065- 5 2.50354- 3 2.70000+ 1 2.90000+ 1 1.97144- 5 2.54022- 3 2.70000+ 1 3.00000+ 1 3.95801- 4 2.55740- 3 2.70000+ 1 3.20000+ 1 1.06156- 5 2.60661- 3 2.70000+ 1 3.30000+ 1 1.13734- 5 2.60831- 3 2.70000+ 1 4.10000+ 1 7.58259- 7 2.61047- 3 2.90000+ 1 2.90000+ 1 7.61698- 7 2.57690- 3 2.90000+ 1 3.00000+ 1 4.34911- 4 2.59408- 3 2.90000+ 1 3.20000+ 1 3.04681- 6 2.64329- 3 2.90000+ 1 3.30000+ 1 3.04681- 5 2.64499- 3 2.90000+ 1 4.10000+ 1 7.61698- 7 2.64715- 3 3.00000+ 1 3.00000+ 1 7.51860- 4 2.61126- 3 3.00000+ 1 3.20000+ 1 5.52707- 4 2.66047- 3 3.00000+ 1 3.30000+ 1 6.78829- 4 2.66217- 3 3.00000+ 1 4.10000+ 1 2.18984- 5 2.66433- 3 3.20000+ 1 3.20000+ 1 1.10297- 6 2.70968- 3 3.20000+ 1 3.30000+ 1 2.70235- 5 2.71138- 3 3.20000+ 1 4.10000+ 1 5.51496- 7 2.71354- 3 3.30000+ 1 3.30000+ 1 1.07514- 5 2.71308- 3 3.30000+ 1 4.10000+ 1 5.37580- 7 2.71524- 3 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.04491- 3 1.66442- 3 1.90000+ 1 2.05971- 4 1.76331- 3 2.40000+ 1 2.68511- 2 2.20333- 3 2.90000+ 1 4.96431- 4 2.22215- 3 3.00000+ 1 5.14311- 5 2.23933- 3 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.40000+ 1 1.31356- 2 0.00000+ 0 1.40000+ 1 2.50000+ 1 2.20663- 3 0.00000+ 0 1.40000+ 1 2.90000+ 1 2.08638- 3 9.95000- 6 1.40000+ 1 3.00000+ 1 7.06982- 3 2.71300- 5 1.40000+ 1 3.20000+ 1 3.69012- 2 7.63400- 5 1.40000+ 1 3.30000+ 1 4.95334- 3 7.80400- 5 1.40000+ 1 4.10000+ 1 2.45174- 4 8.02000- 5 1.60000+ 1 1.60000+ 1 3.15576- 5 8.05900- 4 1.60000+ 1 1.80000+ 1 1.33870- 3 9.17020- 4 1.60000+ 1 1.90000+ 1 9.94073- 4 1.01591- 3 1.60000+ 1 2.10000+ 1 3.69653- 2 1.19982- 3 1.60000+ 1 2.20000+ 1 4.29542- 3 1.21825- 3 1.60000+ 1 2.40000+ 1 1.53535- 2 1.45593- 3 1.60000+ 1 2.50000+ 1 4.36463- 3 1.45991- 3 1.60000+ 1 2.70000+ 1 2.06335- 5 1.43807- 3 1.60000+ 1 2.90000+ 1 1.83271- 4 1.47475- 3 1.60000+ 1 3.00000+ 1 1.10446- 4 1.49193- 3 1.60000+ 1 3.20000+ 1 2.27575- 3 1.54114- 3 1.60000+ 1 3.30000+ 1 2.59744- 4 1.54284- 3 1.60000+ 1 4.10000+ 1 1.21376- 6 1.54500- 3 1.80000+ 1 1.80000+ 1 7.90127- 4 1.02814- 3 1.80000+ 1 1.90000+ 1 5.05994- 3 1.12703- 3 1.80000+ 1 2.10000+ 1 3.29395- 2 1.31094- 3 1.80000+ 1 2.20000+ 1 2.40438- 3 1.32937- 3 1.80000+ 1 2.40000+ 1 9.87955- 3 1.56705- 3 1.80000+ 1 2.50000+ 1 4.93510- 3 1.57103- 3 1.80000+ 1 2.70000+ 1 1.73568- 4 1.54919- 3 1.80000+ 1 2.90000+ 1 2.16037- 4 1.58587- 3 1.80000+ 1 3.00000+ 1 6.23849- 4 1.60305- 3 1.80000+ 1 3.20000+ 1 2.01478- 3 1.65226- 3 1.80000+ 1 3.30000+ 1 1.66278- 4 1.65396- 3 1.80000+ 1 4.10000+ 1 6.06847- 6 1.65612- 3 1.90000+ 1 1.90000+ 1 1.79641- 3 1.22592- 3 1.90000+ 1 2.10000+ 1 6.68365- 2 1.40983- 3 1.90000+ 1 2.20000+ 1 2.52823- 3 1.42826- 3 1.90000+ 1 2.40000+ 1 3.67767- 3 1.66594- 3 1.90000+ 1 2.50000+ 1 2.26368- 3 1.66992- 3 1.90000+ 1 2.70000+ 1 1.49287- 4 1.64808- 3 1.90000+ 1 2.90000+ 1 5.68040- 4 1.68476- 3 1.90000+ 1 3.00000+ 1 4.24795- 4 1.70194- 3 1.90000+ 1 3.20000+ 1 4.12669- 3 1.75115- 3 1.90000+ 1 3.30000+ 1 1.57782- 4 1.75285- 3 1.90000+ 1 4.10000+ 1 6.06850- 6 1.75501- 3 2.10000+ 1 2.10000+ 1 5.93165- 2 1.59374- 3 2.10000+ 1 2.20000+ 1 1.18166- 1 1.61217- 3 2.10000+ 1 2.40000+ 1 6.01901- 2 1.84985- 3 2.10000+ 1 2.50000+ 1 7.33140- 2 1.85383- 3 2.10000+ 1 2.70000+ 1 6.63327- 3 1.83199- 3 2.10000+ 1 2.90000+ 1 5.63190- 3 1.86867- 3 2.10000+ 1 3.00000+ 1 1.06759- 2 1.88585- 3 2.10000+ 1 3.20000+ 1 8.65756- 3 1.93506- 3 2.10000+ 1 3.30000+ 1 9.21728- 3 1.93676- 3 2.10000+ 1 4.10000+ 1 2.58530- 4 1.93892- 3 2.20000+ 1 2.20000+ 1 1.90310- 3 1.63060- 3 2.20000+ 1 2.40000+ 1 6.68004- 2 1.86828- 3 2.20000+ 1 2.50000+ 1 3.42757- 3 1.87226- 3 2.20000+ 1 2.70000+ 1 4.24794- 4 1.85042- 3 2.20000+ 1 2.90000+ 1 2.63383- 4 1.88710- 3 2.20000+ 1 3.00000+ 1 3.30133- 4 1.90428- 3 2.20000+ 1 3.20000+ 1 7.33927- 3 1.95349- 3 2.20000+ 1 3.30000+ 1 2.48814- 4 1.95519- 3 2.20000+ 1 4.10000+ 1 1.57781- 5 1.95735- 3 2.40000+ 1 2.40000+ 1 6.06835- 2 2.10596- 3 2.40000+ 1 2.50000+ 1 1.75947- 1 2.10994- 3 2.40000+ 1 2.70000+ 1 2.88136- 3 2.08810- 3 2.40000+ 1 2.90000+ 1 1.40308- 3 2.12478- 3 2.40000+ 1 3.00000+ 1 5.97163- 4 2.14196- 3 2.40000+ 1 3.20000+ 1 3.98212- 3 2.19117- 3 2.40000+ 1 3.30000+ 1 4.99433- 3 2.19287- 3 2.40000+ 1 4.10000+ 1 1.11670- 4 2.19503- 3 2.50000+ 1 2.50000+ 1 3.35629- 3 2.11392- 3 2.50000+ 1 2.70000+ 1 5.33880- 4 2.09208- 3 2.50000+ 1 2.90000+ 1 3.50054- 4 2.12876- 3 2.50000+ 1 3.00000+ 1 2.99417- 4 2.14594- 3 2.50000+ 1 3.20000+ 1 3.83851- 3 2.19515- 3 2.50000+ 1 3.30000+ 1 2.19062- 4 2.19685- 3 2.50000+ 1 4.10000+ 1 1.98144- 5 2.19901- 3 2.70000+ 1 2.70000+ 1 3.16095- 6 2.07024- 3 2.70000+ 1 2.90000+ 1 3.31884- 5 2.10692- 3 2.70000+ 1 3.00000+ 1 2.21257- 5 2.12410- 3 2.70000+ 1 3.20000+ 1 5.35766- 4 2.17331- 3 2.70000+ 1 3.30000+ 1 3.63502- 5 2.17501- 3 2.90000+ 1 2.90000+ 1 2.90066- 5 2.14360- 3 2.90000+ 1 3.00000+ 1 1.36114- 4 2.16078- 3 2.90000+ 1 3.20000+ 1 6.35939- 4 2.20999- 3 2.90000+ 1 3.30000+ 1 3.57018- 5 2.21169- 3 2.90000+ 1 4.10000+ 1 2.23137- 6 2.21385- 3 3.00000+ 1 3.00000+ 1 5.22745- 5 2.17796- 3 3.00000+ 1 3.20000+ 1 1.36163- 3 2.22717- 3 3.00000+ 1 3.30000+ 1 4.48076- 5 2.22887- 3 3.00000+ 1 4.10000+ 1 2.48937- 6 2.23103- 3 3.20000+ 1 3.20000+ 1 2.88572- 4 2.27638- 3 3.20000+ 1 3.30000+ 1 5.38511- 4 2.27808- 3 3.20000+ 1 4.10000+ 1 1.47687- 5 2.28024- 3 3.30000+ 1 3.30000+ 1 8.04446- 6 2.27978- 3 3.30000+ 1 4.10000+ 1 1.14926- 6 2.28194- 3 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.61229- 3 1.67481- 3 2.40000+ 1 1.35389- 3 2.11483- 3 2.50000+ 1 2.64308- 2 2.11881- 3 3.00000+ 1 4.16596- 4 2.15083- 3 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.24085- 6 7.17400- 4 1.60000+ 1 1.80000+ 1 2.86618- 4 8.28520- 4 1.60000+ 1 1.90000+ 1 2.30784- 3 9.27410- 4 1.60000+ 1 2.10000+ 1 3.71617- 3 1.11132- 3 1.60000+ 1 2.20000+ 1 4.07568- 2 1.12975- 3 1.60000+ 1 2.40000+ 1 4.53888- 3 1.36743- 3 1.60000+ 1 2.50000+ 1 1.65628- 2 1.37141- 3 1.60000+ 1 2.70000+ 1 1.24085- 5 1.34957- 3 1.60000+ 1 2.90000+ 1 1.61299- 5 1.38625- 3 1.60000+ 1 3.00000+ 1 2.66767- 4 1.40343- 3 1.60000+ 1 3.20000+ 1 2.24586- 4 1.45264- 3 1.60000+ 1 3.30000+ 1 2.37113- 3 1.45434- 3 1.80000+ 1 1.80000+ 1 1.24086- 6 9.39640- 4 1.80000+ 1 1.90000+ 1 6.10714- 3 1.03853- 3 1.80000+ 1 2.10000+ 1 3.10203- 4 1.22244- 3 1.80000+ 1 2.20000+ 1 4.19054- 2 1.24087- 3 1.80000+ 1 2.40000+ 1 2.24329- 3 1.47855- 3 1.80000+ 1 2.50000+ 1 8.69313- 3 1.48253- 3 1.80000+ 1 2.70000+ 1 3.59827- 5 1.46069- 3 1.80000+ 1 2.90000+ 1 2.48160- 6 1.49737- 3 1.80000+ 1 3.00000+ 1 7.01047- 4 1.51455- 3 1.80000+ 1 3.20000+ 1 7.44452- 6 1.56376- 3 1.80000+ 1 3.30000+ 1 2.44191- 3 1.56546- 3 1.80000+ 1 4.10000+ 1 1.24086- 6 1.56762- 3 1.90000+ 1 1.90000+ 1 4.27080- 3 1.13742- 3 1.90000+ 1 2.10000+ 1 3.90352- 3 1.32133- 3 1.90000+ 1 2.20000+ 1 6.37974- 2 1.33976- 3 1.90000+ 1 2.40000+ 1 2.53870- 3 1.57744- 3 1.90000+ 1 2.50000+ 1 5.08477- 3 1.58142- 3 1.90000+ 1 2.70000+ 1 3.56103- 4 1.55958- 3 1.90000+ 1 2.90000+ 1 6.62601- 4 1.59626- 3 1.90000+ 1 3.00000+ 1 1.01008- 3 1.61344- 3 1.90000+ 1 3.20000+ 1 2.84140- 4 1.66265- 3 1.90000+ 1 3.30000+ 1 3.70253- 3 1.66435- 3 1.90000+ 1 4.10000+ 1 1.36483- 5 1.66651- 3 2.10000+ 1 2.10000+ 1 8.46241- 4 1.50524- 3 2.10000+ 1 2.20000+ 1 8.72372- 2 1.52367- 3 2.10000+ 1 2.40000+ 1 3.03876- 3 1.76135- 3 2.10000+ 1 2.50000+ 1 4.15722- 2 1.76533- 3 2.10000+ 1 2.70000+ 1 3.51151- 4 1.74349- 3 2.10000+ 1 2.90000+ 1 5.83173- 5 1.78017- 3 2.10000+ 1 3.00000+ 1 4.61565- 4 1.79735- 3 2.10000+ 1 3.20000+ 1 1.14154- 4 1.84656- 3 2.10000+ 1 3.30000+ 1 5.12682- 3 1.84826- 3 2.10000+ 1 4.10000+ 1 1.24086- 5 1.85042- 3 2.20000+ 1 2.20000+ 1 9.77912- 2 1.54210- 3 2.20000+ 1 2.40000+ 1 6.68092- 2 1.77978- 3 2.20000+ 1 2.50000+ 1 1.05529- 1 1.78376- 3 2.20000+ 1 2.70000+ 1 7.03656- 3 1.76192- 3 2.20000+ 1 2.90000+ 1 6.87516- 3 1.79860- 3 2.20000+ 1 3.00000+ 1 1.02763- 2 1.81578- 3 2.20000+ 1 3.20000+ 1 7.17796- 3 1.86499- 3 2.20000+ 1 3.30000+ 1 1.33780- 2 1.86669- 3 2.20000+ 1 4.10000+ 1 2.74227- 4 1.86885- 3 2.40000+ 1 2.40000+ 1 4.97197- 3 2.01746- 3 2.40000+ 1 2.50000+ 1 1.59018- 1 2.02144- 3 2.40000+ 1 2.70000+ 1 6.57657- 4 1.99960- 3 2.40000+ 1 2.90000+ 1 3.42476- 4 2.03628- 3 2.40000+ 1 3.00000+ 1 3.36277- 4 2.05346- 3 2.40000+ 1 3.20000+ 1 2.43204- 4 2.10267- 3 2.40000+ 1 3.30000+ 1 3.73375- 3 2.10437- 3 2.40000+ 1 4.10000+ 1 2.48170- 5 2.10653- 3 2.50000+ 1 2.50000+ 1 1.08747- 1 2.02542- 3 2.50000+ 1 2.70000+ 1 3.02647- 3 2.00358- 3 2.50000+ 1 2.90000+ 1 1.43934- 3 2.04026- 3 2.50000+ 1 3.00000+ 1 7.79251- 4 2.05744- 3 2.50000+ 1 3.20000+ 1 3.23494- 3 2.10665- 3 2.50000+ 1 3.30000+ 1 6.74275- 3 2.10835- 3 2.50000+ 1 4.10000+ 1 1.19127- 4 2.11051- 3 2.70000+ 1 2.70000+ 1 1.96514- 6 1.98174- 3 2.70000+ 1 2.90000+ 1 3.93010- 6 2.01842- 3 2.70000+ 1 3.00000+ 1 6.87750- 5 2.03560- 3 2.70000+ 1 3.20000+ 1 3.73360- 5 2.08481- 3 2.70000+ 1 3.30000+ 1 6.54357- 4 2.08651- 3 2.90000+ 1 3.00000+ 1 1.22355- 4 2.07228- 3 2.90000+ 1 3.20000+ 1 3.76475- 6 2.12149- 3 2.90000+ 1 3.30000+ 1 6.15534- 4 2.12319- 3 3.00000+ 1 3.00000+ 1 1.13331- 4 2.08946- 3 3.00000+ 1 3.20000+ 1 6.70739- 5 2.13867- 3 3.00000+ 1 3.30000+ 1 1.11717- 3 2.14037- 3 3.00000+ 1 4.10000+ 1 2.31303- 6 2.14253- 3 3.20000+ 1 3.20000+ 1 3.42389- 6 2.18788- 3 3.20000+ 1 3.30000+ 1 3.90321- 4 2.18958- 3 3.20000+ 1 4.10000+ 1 1.14133- 6 2.19174- 3 3.30000+ 1 3.30000+ 1 4.47936- 4 2.19128- 3 3.30000+ 1 4.10000+ 1 1.61302- 5 2.19344- 3 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.87822- 5 1.11120- 4 1.90000+ 1 2.70140- 4 2.10010- 4 2.90000+ 1 1.62493- 4 6.68850- 4 3.00000+ 1 7.15811- 5 6.86030- 4 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 8.88051- 3 1.37500- 5 1.80000+ 1 2.50000+ 1 2.21224- 3 1.77300- 5 1.80000+ 1 2.70000+ 1 2.90198- 2 0.00000+ 0 1.80000+ 1 2.90000+ 1 2.73534- 2 3.25700- 5 1.80000+ 1 3.00000+ 1 4.63423- 2 4.97500- 5 1.80000+ 1 3.20000+ 1 2.46865- 2 9.89600- 5 1.80000+ 1 3.30000+ 1 3.97039- 2 1.00660- 4 1.80000+ 1 4.10000+ 1 1.14393- 3 1.02820- 4 1.90000+ 1 2.40000+ 1 8.52841- 2 1.12640- 4 1.90000+ 1 2.50000+ 1 1.12901- 1 1.16620- 4 1.90000+ 1 2.70000+ 1 4.04776- 2 9.47800- 5 1.90000+ 1 2.90000+ 1 4.60849- 2 1.31460- 4 1.90000+ 1 3.00000+ 1 4.93896- 2 1.48640- 4 1.90000+ 1 3.20000+ 1 3.28103- 2 1.97850- 4 1.90000+ 1 3.30000+ 1 3.85107- 2 1.99550- 4 1.90000+ 1 4.10000+ 1 1.57785- 3 2.01710- 4 2.10000+ 1 2.10000+ 1 4.13088- 3 4.04400- 5 2.10000+ 1 2.20000+ 1 5.62225- 3 5.88700- 5 2.10000+ 1 2.40000+ 1 4.63970- 3 2.96550- 4 2.10000+ 1 2.50000+ 1 8.83274- 3 3.00530- 4 2.10000+ 1 2.70000+ 1 1.64973- 2 2.78690- 4 2.10000+ 1 2.90000+ 1 4.64466- 3 3.15370- 4 2.10000+ 1 3.00000+ 1 7.81821- 3 3.32550- 4 2.10000+ 1 3.20000+ 1 1.29058- 3 3.81760- 4 2.10000+ 1 3.30000+ 1 1.18191- 3 3.83460- 4 2.10000+ 1 4.10000+ 1 5.06622- 4 3.85620- 4 2.20000+ 1 2.20000+ 1 6.15926- 3 7.73000- 5 2.20000+ 1 2.40000+ 1 9.95405- 3 3.14980- 4 2.20000+ 1 2.50000+ 1 9.61070- 3 3.18960- 4 2.20000+ 1 2.70000+ 1 2.29473- 2 2.97120- 4 2.20000+ 1 2.90000+ 1 9.05077- 3 3.33800- 4 2.20000+ 1 3.00000+ 1 7.95212- 3 3.50980- 4 2.20000+ 1 3.20000+ 1 1.04979- 3 4.00190- 4 2.20000+ 1 3.30000+ 1 1.77174- 3 4.01890- 4 2.20000+ 1 4.10000+ 1 7.03292- 4 4.04050- 4 2.40000+ 1 2.40000+ 1 8.45089- 3 5.52660- 4 2.40000+ 1 2.50000+ 1 1.73709- 2 5.56640- 4 2.40000+ 1 2.70000+ 1 1.91370- 2 5.34800- 4 2.40000+ 1 2.90000+ 1 2.50337- 3 5.71480- 4 2.40000+ 1 3.00000+ 1 7.98164- 3 5.88660- 4 2.40000+ 1 3.20000+ 1 5.72211- 4 6.37870- 4 2.40000+ 1 3.30000+ 1 3.75031- 4 6.39570- 4 2.40000+ 1 4.10000+ 1 5.29826- 4 6.41730- 4 2.50000+ 1 2.50000+ 1 1.41213- 2 5.60620- 4 2.50000+ 1 2.70000+ 1 2.49874- 2 5.38780- 4 2.50000+ 1 2.90000+ 1 1.38937- 3 5.75460- 4 2.50000+ 1 3.00000+ 1 9.39525- 3 5.92640- 4 2.50000+ 1 3.20000+ 1 3.53932- 4 6.41850- 4 2.50000+ 1 3.30000+ 1 8.20410- 4 6.43550- 4 2.50000+ 1 4.10000+ 1 6.90147- 4 6.45710- 4 2.70000+ 1 2.70000+ 1 1.75033- 2 5.16940- 4 2.70000+ 1 2.90000+ 1 2.37706- 2 5.53620- 4 2.70000+ 1 3.00000+ 1 3.80143- 2 5.70800- 4 2.70000+ 1 3.20000+ 1 2.24967- 2 6.20010- 4 2.70000+ 1 3.30000+ 1 2.99279- 2 6.21710- 4 2.70000+ 1 4.10000+ 1 1.18910- 3 6.23870- 4 2.90000+ 1 2.90000+ 1 2.71440- 3 5.90300- 4 2.90000+ 1 3.00000+ 1 1.11684- 2 6.07480- 4 2.90000+ 1 3.20000+ 1 2.99789- 3 6.56690- 4 2.90000+ 1 3.30000+ 1 2.57278- 3 6.58390- 4 2.90000+ 1 4.10000+ 1 9.59876- 4 6.60550- 4 3.00000+ 1 3.00000+ 1 8.12933- 3 6.24660- 4 3.00000+ 1 3.20000+ 1 3.27935- 3 6.73870- 4 3.00000+ 1 3.30000+ 1 5.54325- 3 6.75570- 4 3.00000+ 1 4.10000+ 1 1.60334- 3 6.77730- 4 3.20000+ 1 3.20000+ 1 7.18594- 4 7.23080- 4 3.20000+ 1 3.30000+ 1 2.14442- 3 7.24780- 4 3.20000+ 1 4.10000+ 1 1.31265- 3 7.26940- 4 3.30000+ 1 3.30000+ 1 1.73619- 3 7.26480- 4 3.30000+ 1 4.10000+ 1 2.27327- 3 7.28640- 4 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 8.55859- 4 2.82800- 4 2.70000+ 1 1.82849- 4 5.21050- 4 3.20000+ 1 2.21081- 5 6.24120- 4 4.10000+ 1 1.32991- 5 6.27980- 4 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 5.07629- 3 1.52000- 6 1.90000+ 1 2.50000+ 1 8.27433- 3 5.50000- 6 1.90000+ 1 2.90000+ 1 1.35643- 2 2.03400- 5 1.90000+ 1 3.00000+ 1 1.65285- 2 3.75200- 5 1.90000+ 1 3.20000+ 1 5.11520- 3 8.67300- 5 1.90000+ 1 3.30000+ 1 7.69220- 3 8.84300- 5 1.90000+ 1 4.10000+ 1 5.64810- 4 9.05900- 5 2.10000+ 1 2.40000+ 1 1.44797- 1 1.85430- 4 2.10000+ 1 2.50000+ 1 3.17803- 1 1.89410- 4 2.10000+ 1 2.70000+ 1 3.74923- 2 1.67570- 4 2.10000+ 1 2.90000+ 1 2.86162- 2 2.04250- 4 2.10000+ 1 3.00000+ 1 4.22948- 2 2.21430- 4 2.10000+ 1 3.20000+ 1 1.61876- 2 2.70640- 4 2.10000+ 1 3.30000+ 1 2.65560- 2 2.72340- 4 2.10000+ 1 4.10000+ 1 1.45749- 3 2.74500- 4 2.20000+ 1 2.40000+ 1 4.52167- 2 2.03860- 4 2.20000+ 1 2.50000+ 1 1.15579- 2 2.07840- 4 2.20000+ 1 2.70000+ 1 6.25452- 3 1.86000- 4 2.20000+ 1 2.90000+ 1 2.55506- 2 2.22680- 4 2.20000+ 1 3.00000+ 1 5.40886- 3 2.39860- 4 2.20000+ 1 3.20000+ 1 2.16757- 3 2.89070- 4 2.20000+ 1 3.30000+ 1 1.69458- 3 2.90770- 4 2.20000+ 1 4.10000+ 1 1.97799- 4 2.92930- 4 2.40000+ 1 2.40000+ 1 2.96398- 3 4.41540- 4 2.40000+ 1 2.50000+ 1 1.96859- 2 4.45520- 4 2.40000+ 1 2.70000+ 1 4.53524- 3 4.23680- 4 2.40000+ 1 2.90000+ 1 1.93698- 2 4.60360- 4 2.40000+ 1 3.00000+ 1 3.90485- 3 4.77540- 4 2.40000+ 1 3.20000+ 1 3.55578- 3 5.26750- 4 2.40000+ 1 3.30000+ 1 1.60612- 3 5.28450- 4 2.40000+ 1 4.10000+ 1 1.77947- 4 5.30610- 4 2.50000+ 1 2.50000+ 1 9.75391- 4 4.49500- 4 2.50000+ 1 2.70000+ 1 3.10477- 3 4.27660- 4 2.50000+ 1 2.90000+ 1 3.70386- 2 4.64340- 4 2.50000+ 1 3.00000+ 1 2.25447- 3 4.81520- 4 2.50000+ 1 3.20000+ 1 8.50078- 3 5.30730- 4 2.50000+ 1 3.30000+ 1 6.60718- 4 5.32430- 4 2.50000+ 1 4.10000+ 1 9.89347- 5 5.34590- 4 2.70000+ 1 2.70000+ 1 7.97047- 4 4.05820- 4 2.70000+ 1 2.90000+ 1 1.11222- 2 4.42500- 4 2.70000+ 1 3.00000+ 1 2.00062- 3 4.59680- 4 2.70000+ 1 3.20000+ 1 1.88622- 3 5.08890- 4 2.70000+ 1 3.30000+ 1 1.23361- 3 5.10590- 4 2.70000+ 1 4.10000+ 1 5.08254- 5 5.12750- 4 2.90000+ 1 2.90000+ 1 1.35576- 2 4.79180- 4 2.90000+ 1 3.00000+ 1 3.59351- 2 4.96360- 4 2.90000+ 1 3.20000+ 1 1.74443- 2 5.45570- 4 2.90000+ 1 3.30000+ 1 2.81525- 2 5.47270- 4 2.90000+ 1 4.10000+ 1 8.79126- 4 5.49430- 4 3.00000+ 1 3.00000+ 1 1.37280- 3 5.13540- 4 3.00000+ 1 3.20000+ 1 4.09838- 3 5.62750- 4 3.00000+ 1 3.30000+ 1 1.45071- 3 5.64450- 4 3.00000+ 1 4.10000+ 1 1.17926- 4 5.66610- 4 3.20000+ 1 3.20000+ 1 9.24911- 5 6.11960- 4 3.20000+ 1 3.30000+ 1 1.71384- 4 6.13660- 4 3.20000+ 1 4.10000+ 1 1.38184- 5 6.15820- 4 3.30000+ 1 3.30000+ 1 3.62481- 5 6.15360- 4 3.30000+ 1 4.10000+ 1 1.10167- 5 6.17520- 4 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.66734- 5 1.83910- 4 2.20000+ 1 1.98739- 4 2.02340- 4 2.70000+ 1 1.51764- 4 4.22160- 4 3.20000+ 1 6.35757- 6 5.25230- 4 3.30000+ 1 3.59177- 5 5.26930- 4 4.10000+ 1 1.15196- 5 5.29090- 4 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 9.49640- 3 8.65400- 5 2.10000+ 1 2.50000+ 1 2.19563- 2 9.05200- 5 2.10000+ 1 2.70000+ 1 1.59047- 2 6.86800- 5 2.10000+ 1 2.90000+ 1 1.25598- 2 1.05360- 4 2.10000+ 1 3.00000+ 1 4.06679- 2 1.22540- 4 2.10000+ 1 3.20000+ 1 7.86242- 3 1.71750- 4 2.10000+ 1 3.30000+ 1 1.37883- 2 1.73450- 4 2.10000+ 1 4.10000+ 1 5.84071- 4 1.75610- 4 2.20000+ 1 2.40000+ 1 1.27466- 1 1.04970- 4 2.20000+ 1 2.50000+ 1 1.51194- 1 1.08950- 4 2.20000+ 1 2.70000+ 1 7.87924- 2 8.71100- 5 2.20000+ 1 2.90000+ 1 8.35252- 2 1.23790- 4 2.20000+ 1 3.00000+ 1 1.05536- 1 1.40970- 4 2.20000+ 1 3.20000+ 1 6.05510- 2 1.90180- 4 2.20000+ 1 3.30000+ 1 6.77243- 2 1.91880- 4 2.20000+ 1 4.10000+ 1 3.16205- 3 1.94040- 4 2.40000+ 1 2.40000+ 1 7.67640- 4 3.42650- 4 2.40000+ 1 2.50000+ 1 1.70716- 2 3.46630- 4 2.40000+ 1 2.70000+ 1 6.27676- 3 3.24790- 4 2.40000+ 1 2.90000+ 1 3.14687- 3 3.61470- 4 2.40000+ 1 3.00000+ 1 4.13526- 2 3.78650- 4 2.40000+ 1 3.20000+ 1 8.82258- 4 4.27860- 4 2.40000+ 1 3.30000+ 1 4.32814- 3 4.29560- 4 2.40000+ 1 4.10000+ 1 1.78143- 4 4.31720- 4 2.50000+ 1 2.50000+ 1 7.58962- 3 3.50610- 4 2.50000+ 1 2.70000+ 1 1.36446- 2 3.28770- 4 2.50000+ 1 2.90000+ 1 1.14871- 2 3.65450- 4 2.50000+ 1 3.00000+ 1 5.04813- 2 3.82630- 4 2.50000+ 1 3.20000+ 1 8.48324- 4 4.31840- 4 2.50000+ 1 3.30000+ 1 5.54451- 3 4.33540- 4 2.50000+ 1 4.10000+ 1 4.43496- 4 4.35700- 4 2.70000+ 1 2.70000+ 1 1.48501- 6 3.06930- 4 2.70000+ 1 2.90000+ 1 2.62359- 4 3.43610- 4 2.70000+ 1 3.00000+ 1 5.40277- 3 3.60790- 4 2.70000+ 1 3.20000+ 1 3.59382- 4 4.10000- 4 2.70000+ 1 3.30000+ 1 6.51904- 4 4.11700- 4 2.70000+ 1 4.10000+ 1 4.95010- 7 4.13860- 4 2.90000+ 1 2.90000+ 1 1.34968- 5 3.80290- 4 2.90000+ 1 3.00000+ 1 4.94206- 3 3.97470- 4 2.90000+ 1 3.20000+ 1 1.68052- 4 4.46680- 4 2.90000+ 1 3.30000+ 1 5.54246- 4 4.48380- 4 2.90000+ 1 4.10000+ 1 7.83680- 6 4.50540- 4 3.00000+ 1 3.00000+ 1 8.15090- 3 4.14650- 4 3.00000+ 1 3.20000+ 1 5.90647- 3 4.63860- 4 3.00000+ 1 3.30000+ 1 7.56205- 3 4.65560- 4 3.00000+ 1 4.10000+ 1 2.47566- 4 4.67720- 4 3.20000+ 1 3.20000+ 1 4.01060- 5 5.13070- 4 3.20000+ 1 3.30000+ 1 2.46210- 4 5.14770- 4 3.20000+ 1 4.10000+ 1 5.84339- 6 5.16930- 4 3.30000+ 1 3.30000+ 1 2.28972- 4 5.16470- 4 3.30000+ 1 4.10000+ 1 1.43276- 5 5.18630- 4 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.82513- 4 2.56110- 4 2.90000+ 1 4.27590- 5 2.74930- 4 3.00000+ 1 5.81921- 6 2.92110- 4 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.20000+ 1 3.49920- 2 6.27000- 6 2.20000+ 1 3.30000+ 1 5.57340- 3 7.97000- 6 2.20000+ 1 4.10000+ 1 2.45785- 4 1.01300- 5 2.40000+ 1 2.40000+ 1 1.28969- 1 1.58740- 4 2.40000+ 1 2.50000+ 1 4.09623- 1 1.62720- 4 2.40000+ 1 2.70000+ 1 6.46179- 2 1.40880- 4 2.40000+ 1 2.90000+ 1 5.34818- 2 1.77560- 4 2.40000+ 1 3.00000+ 1 7.50043- 2 1.94740- 4 2.40000+ 1 3.20000+ 1 5.40772- 2 2.43950- 4 2.40000+ 1 3.30000+ 1 5.22952- 2 2.45650- 4 2.40000+ 1 4.10000+ 1 2.57525- 3 2.47810- 4 2.50000+ 1 2.50000+ 1 5.07441- 3 1.66700- 4 2.50000+ 1 2.70000+ 1 5.90976- 3 1.44860- 4 2.50000+ 1 2.90000+ 1 1.19778- 2 1.81540- 4 2.50000+ 1 3.00000+ 1 4.91619- 3 1.98720- 4 2.50000+ 1 3.20000+ 1 5.91647- 2 2.47930- 4 2.50000+ 1 3.30000+ 1 2.22297- 3 2.49630- 4 2.50000+ 1 4.10000+ 1 1.84597- 4 2.51790- 4 2.70000+ 1 2.70000+ 1 8.42645- 4 1.23020- 4 2.70000+ 1 2.90000+ 1 1.58635- 3 1.59700- 4 2.70000+ 1 3.00000+ 1 1.53549- 3 1.76880- 4 2.70000+ 1 3.20000+ 1 5.27807- 3 2.26090- 4 2.70000+ 1 3.30000+ 1 1.61385- 3 2.27790- 4 2.70000+ 1 4.10000+ 1 3.86536- 5 2.29950- 4 2.90000+ 1 2.90000+ 1 3.19875- 4 1.96380- 4 2.90000+ 1 3.00000+ 1 1.59970- 3 2.13560- 4 2.90000+ 1 3.20000+ 1 2.90586- 3 2.62770- 4 2.90000+ 1 3.30000+ 1 5.32806- 4 2.64470- 4 2.90000+ 1 4.10000+ 1 2.73807- 5 2.66630- 4 3.00000+ 1 3.00000+ 1 5.97407- 4 2.30740- 4 3.00000+ 1 3.20000+ 1 5.30803- 3 2.79950- 4 3.00000+ 1 3.30000+ 1 4.61309- 4 2.81650- 4 3.00000+ 1 4.10000+ 1 1.73847- 5 2.83810- 4 3.20000+ 1 3.20000+ 1 2.05802- 3 3.29160- 4 3.20000+ 1 3.30000+ 1 3.89375- 3 3.30860- 4 3.20000+ 1 4.10000+ 1 1.39662- 4 3.33020- 4 3.30000+ 1 3.30000+ 1 9.21827- 5 3.32560- 4 3.30000+ 1 4.10000+ 1 1.49478- 5 3.34720- 4 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 8.14040- 6 2.37680- 4 2.50000+ 1 1.73650- 4 2.41660- 4 3.00000+ 1 3.93080- 5 2.73680- 4 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 7.92691- 3 1.40310- 4 2.40000+ 1 2.50000+ 1 2.80523- 1 1.44290- 4 2.40000+ 1 2.70000+ 1 8.77691- 3 1.22450- 4 2.40000+ 1 2.90000+ 1 5.42942- 3 1.59130- 4 2.40000+ 1 3.00000+ 1 1.24294- 2 1.76310- 4 2.40000+ 1 3.20000+ 1 3.19357- 3 2.25520- 4 2.40000+ 1 3.30000+ 1 5.34232- 2 2.27220- 4 2.40000+ 1 4.10000+ 1 3.08146- 4 2.29380- 4 2.50000+ 1 2.50000+ 1 2.19400- 1 1.48270- 4 2.50000+ 1 2.70000+ 1 7.17389- 2 1.26430- 4 2.50000+ 1 2.90000+ 1 7.43663- 2 1.63110- 4 2.50000+ 1 3.00000+ 1 7.72617- 2 1.80290- 4 2.50000+ 1 3.20000+ 1 5.02560- 2 2.29500- 4 2.50000+ 1 3.30000+ 1 9.36640- 2 2.31200- 4 2.50000+ 1 4.10000+ 1 2.89340- 3 2.33360- 4 2.70000+ 1 2.70000+ 1 1.47081- 3 1.04590- 4 2.70000+ 1 2.90000+ 1 1.54182- 3 1.41270- 4 2.70000+ 1 3.00000+ 1 3.25426- 3 1.58450- 4 2.70000+ 1 3.20000+ 1 2.04229- 3 2.07660- 4 2.70000+ 1 3.30000+ 1 7.23402- 3 2.09360- 4 2.70000+ 1 4.10000+ 1 6.58183- 5 2.11520- 4 2.90000+ 1 2.90000+ 1 1.88483- 4 1.77950- 4 2.90000+ 1 3.00000+ 1 2.51522- 3 1.95130- 4 2.90000+ 1 3.20000+ 1 2.41210- 4 2.44340- 4 2.90000+ 1 3.30000+ 1 4.38096- 3 2.46040- 4 2.90000+ 1 4.10000+ 1 2.39340- 5 2.48200- 4 3.00000+ 1 3.00000+ 1 9.08364- 4 2.12310- 4 3.00000+ 1 3.20000+ 1 7.54654- 4 2.61520- 4 3.00000+ 1 3.30000+ 1 5.95314- 3 2.63220- 4 3.00000+ 1 4.10000+ 1 3.81438- 5 2.65380- 4 3.20000+ 1 3.20000+ 1 4.85421- 5 3.10730- 4 3.20000+ 1 3.30000+ 1 3.47993- 3 3.12430- 4 3.20000+ 1 4.10000+ 1 1.71324- 5 3.14590- 4 3.30000+ 1 3.30000+ 1 3.85141- 3 3.14130- 4 3.30000+ 1 4.10000+ 1 1.78393- 4 3.16290- 4 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.17090- 6 8.52100- 5 3.30000+ 1 7.75693- 8 8.69100- 5 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 8.65877- 2 6.66000- 6 2.90000+ 1 3.30000+ 1 6.09695- 2 8.36000- 6 2.90000+ 1 4.10000+ 1 6.63366- 4 1.05200- 5 3.00000+ 1 3.20000+ 1 1.91039- 1 2.38400- 5 3.00000+ 1 3.30000+ 1 3.33034- 2 2.55400- 5 3.00000+ 1 4.10000+ 1 1.29885- 3 2.77000- 5 3.20000+ 1 3.20000+ 1 2.43995- 1 7.30500- 5 3.20000+ 1 3.30000+ 1 3.56277- 1 7.47500- 5 3.20000+ 1 4.10000+ 1 5.80982- 3 7.69100- 5 3.30000+ 1 3.30000+ 1 1.95034- 2 7.64500- 5 3.30000+ 1 4.10000+ 1 5.51651- 4 7.86100- 5 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 1.12850- 6 8.29300- 5 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.20000+ 1 5.16886- 2 1.98600- 5 3.00000+ 1 3.30000+ 1 2.55616- 1 2.15600- 5 3.00000+ 1 4.10000+ 1 3.63489- 3 2.37200- 5 3.20000+ 1 3.20000+ 1 9.41406- 3 6.90700- 5 3.20000+ 1 3.30000+ 1 3.03431- 1 7.07700- 5 3.20000+ 1 4.10000+ 1 3.64372- 4 7.29300- 5 3.30000+ 1 3.30000+ 1 3.69271- 1 7.24700- 5 3.30000+ 1 4.10000+ 1 6.57809- 3 7.46300- 5 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 8.36091- 7 3.66800- 5 3.00000+ 1 5.42434- 6 5.38600- 5 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 7.68317- 2 2.45200- 5 2.90000+ 1 3.30000+ 1 1.89185- 1 2.62200- 5 2.90000+ 1 4.10000+ 1 5.21272- 3 2.83800- 5 3.00000+ 1 3.20000+ 1 3.29447- 1 4.17000- 5 3.00000+ 1 3.30000+ 1 2.84763- 1 4.34000- 5 3.00000+ 1 4.10000+ 1 7.30844- 3 4.55600- 5 3.20000+ 1 3.20000+ 1 2.19424- 3 9.09100- 5 3.20000+ 1 3.30000+ 1 8.87296- 2 9.26100- 5 3.20000+ 1 4.10000+ 1 3.05983- 3 9.47700- 5 3.30000+ 1 3.30000+ 1 1.12495- 2 9.43100- 5 3.30000+ 1 4.10000+ 1 2.01348- 3 9.64700- 5 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.79027- 6 6.63900- 5 4.10000+ 1 1.10471- 7 7.02500- 5 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.20000+ 1 2.43609- 1 5.02000- 6 3.00000+ 1 3.30000+ 1 4.60674- 2 6.72000- 6 3.00000+ 1 4.10000+ 1 2.15309- 3 8.88000- 6 3.20000+ 1 3.20000+ 1 1.27254- 1 5.42300- 5 3.20000+ 1 3.30000+ 1 5.54498- 1 5.59300- 5 3.20000+ 1 4.10000+ 1 9.67738- 3 5.80900- 5 3.30000+ 1 3.30000+ 1 1.59110- 2 5.76300- 5 3.30000+ 1 4.10000+ 1 8.27972- 4 5.97900- 5 1 79000 0 7 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.48030- 8 4.92100- 5 3.30000+ 1 3.49670- 7 5.09100- 5 4.10000+ 1 4.45880- 8 5.30700- 5 1 79000 0 9 1.96966+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 2.84373- 2 3.70500- 5 3.20000+ 1 3.30000+ 1 5.99375- 1 3.87500- 5 3.20000+ 1 4.10000+ 1 5.41715- 3 4.09100- 5 3.30000+ 1 3.30000+ 1 3.50811- 1 4.04500- 5 3.30000+ 1 4.10000+ 1 1.59591- 2 4.26100- 5 1 80000 0 0 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 4.10000+ 1 2.00000+ 0 1 80000 0 0 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.33530- 2 3.00000+ 0 1.48260- 2 5.00000+ 0 1.42540- 2 6.00000+ 0 1.22870- 2 8.00000+ 0 3.53680- 3 1.00000+ 1 3.27390- 3 1.10000+ 1 2.83690- 3 1.30000+ 1 2.39480- 3 1.40000+ 1 2.30080- 3 1.60000+ 1 7.87440- 4 1.80000+ 1 6.73170- 4 1.90000+ 1 5.67130- 4 2.10000+ 1 3.78210- 4 2.20000+ 1 3.58420- 4 2.40000+ 1 1.13500- 4 2.50000+ 1 1.09130- 4 2.70000+ 1 1.25730- 4 2.90000+ 1 8.73400- 5 3.00000+ 1 6.83000- 5 3.20000+ 1 1.59800- 5 3.30000+ 1 1.39600- 5 4.10000+ 1 9.55000- 6 1 80000 0 0 2.00590+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.16410- 1 3.00000+ 0 2.79070- 2 5.00000+ 0 2.78930- 2 6.00000+ 0 2.02510- 2 8.00000+ 0 8.89830- 3 1.00000+ 1 8.78320- 3 1.10000+ 1 6.89080- 3 1.30000+ 1 6.74470- 3 1.40000+ 1 6.34460- 3 1.60000+ 1 2.92730- 3 1.80000+ 1 2.79860- 3 1.90000+ 1 2.22890- 3 2.10000+ 1 2.00850- 3 2.20000+ 1 1.89190- 3 2.40000+ 1 1.51400- 3 2.50000+ 1 1.47500- 3 2.70000+ 1 7.44480- 4 2.90000+ 1 6.40620- 4 3.00000+ 1 4.97150- 4 3.20000+ 1 2.89670- 4 3.30000+ 1 2.64310- 4 4.10000+ 1 8.47700- 5 1 80000 0 0 2.00590+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.76970-11 3.00000+ 0 3.65500-10 5.00000+ 0 3.00080-10 6.00000+ 0 3.45920-10 8.00000+ 0 9.49180-10 1.00000+ 1 8.97430-10 1.10000+ 1 9.80840-10 1.30000+ 1 8.52250-10 1.40000+ 1 8.77740-10 1.60000+ 1 2.09990- 9 1.80000+ 1 2.10690- 9 1.90000+ 1 2.28530- 9 2.10000+ 1 2.31580- 9 2.20000+ 1 2.37330- 9 2.40000+ 1 2.47950- 9 2.50000+ 1 2.51310- 9 2.70000+ 1 4.71890- 9 2.90000+ 1 5.06250- 9 3.00000+ 1 5.56070- 9 3.20000+ 1 7.34860- 9 3.30000+ 1 7.66140- 9 4.10000+ 1 1.39670- 8 1 80000 0 0 2.00590+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.16530- 5 3.00000+ 0 1.19000- 6 5.00000+ 0 2.09280- 6 6.00000+ 0 1.82510- 6 8.00000+ 0 4.47400- 8 1.00000+ 1 4.98170- 8 1.10000+ 1 5.34190- 8 1.30000+ 1 6.68280- 8 1.40000+ 1 6.25500- 8 1.60000+ 1 1.60050- 9 1.80000+ 1 2.53470- 9 1.90000+ 1 1.58820- 9 2.10000+ 1 1.65290- 9 2.20000+ 1 1.39570- 9 2.40000+ 1 1.32720-11 2.50000+ 1 1.19070-11 2.70000+ 1 8.67200-11 2.90000+ 1 1.66990-10 3.00000+ 1 9.63110-11 1 80000 0 0 2.00590+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.02320- 6 3.00000+ 0 1.25850- 5 5.00000+ 0 3.46740- 6 6.00000+ 0 3.71120- 6 8.00000+ 0 1.88330- 5 1.00000+ 1 1.28770- 5 1.10000+ 1 1.00570- 5 1.30000+ 1 2.23800- 6 1.40000+ 1 2.21790- 6 1.60000+ 1 1.51370- 5 1.80000+ 1 1.36640- 5 1.90000+ 1 9.36000- 6 2.10000+ 1 8.14640- 6 2.20000+ 1 7.26940- 6 2.40000+ 1 3.32220- 7 2.50000+ 1 3.10310- 7 2.70000+ 1 2.07600- 5 2.90000+ 1 8.92160- 6 3.00000+ 1 9.82970- 6 1 80000 0 0 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.81675- 4 3.00000+ 0 2.58840- 4 5.00000+ 0 1.87381- 4 6.00000+ 0 1.82467- 4 8.00000+ 0 1.81750- 4 1.00000+ 1 1.57448- 4 1.10000+ 1 1.39551- 4 1.30000+ 1 1.07294- 4 1.40000+ 1 1.03932- 4 1.60000+ 1 1.00528- 4 1.80000+ 1 9.15351- 5 1.90000+ 1 8.81402- 5 2.10000+ 1 6.69171- 5 2.20000+ 1 6.40289- 5 2.40000+ 1 3.65087- 5 2.50000+ 1 3.42241- 5 2.70000+ 1 4.27633- 5 2.90000+ 1 3.28929- 5 3.00000+ 1 2.89954- 5 3.20000+ 1 1.59800- 5 3.30000+ 1 1.39600- 5 4.10000+ 1 9.55000- 6 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.29846+ 0 3.00000+ 0 4.07788- 1 5.00000+ 0 4.60779- 1 6.00000+ 0 3.73919- 1 8.00000+ 0 3.22269- 2 1.00000+ 1 3.20566- 2 1.10000+ 1 3.01160- 2 1.30000+ 1 3.41207- 2 1.40000+ 1 3.20793- 2 1.60000+ 1 1.09269- 3 1.80000+ 1 1.34385- 3 1.90000+ 1 6.48602- 4 2.10000+ 1 2.71332- 4 2.20000+ 1 2.49113- 4 2.40000+ 1 2.74961- 6 2.50000+ 1 2.32323- 6 2.70000+ 1 8.25426- 6 2.90000+ 1 2.86675- 6 3.00000+ 1 6.07678- 7 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.30286- 2 3.00000+ 0 3.90031- 3 5.00000+ 0 5.11533- 3 6.00000+ 0 3.47891- 3 8.00000+ 0 7.21133- 5 1.00000+ 1 7.18239- 5 1.10000+ 1 6.60959- 5 1.30000+ 1 7.55571- 5 1.40000+ 1 6.87914- 5 1.60000+ 1 4.13626- 7 1.80000+ 1 4.55592- 7 1.90000+ 1 2.04854- 7 2.10000+ 1 7.23936- 8 2.20000+ 1 6.30704- 8 2.40000+ 1 2.49894-10 2.50000+ 1 2.08730-10 2.70000+ 1 4.65460-10 2.90000+ 1 2.03729-10 3.00000+ 1 3.32182-11 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.13554+ 1 3.00000+ 0 1.66111+ 1 5.00000+ 0 1.17152+ 1 6.00000+ 0 1.14249+ 1 8.00000+ 0 1.13678+ 1 1.00000+ 1 9.68107+ 0 1.10000+ 1 8.50761+ 0 1.30000+ 1 6.25465+ 0 1.40000+ 1 6.09593+ 0 1.60000+ 1 5.84876+ 0 1.80000+ 1 5.19776+ 0 1.90000+ 1 5.01615+ 0 2.10000+ 1 3.50275+ 0 2.20000+ 1 3.38706+ 0 2.40000+ 1 1.41698+ 0 2.50000+ 1 1.37391+ 0 2.70000+ 1 1.91940+ 0 2.90000+ 1 1.19372+ 0 3.00000+ 1 9.99999- 1 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.01428- 2 3.00000+ 0 1.06669- 2 5.00000+ 0 8.95129- 3 6.00000+ 0 8.62563- 3 8.00000+ 0 3.28294- 3 1.00000+ 1 3.04463- 3 1.10000+ 1 2.63125- 3 1.30000+ 1 2.21195- 3 1.40000+ 1 2.12808- 3 1.60000+ 1 6.86499- 4 1.80000+ 1 5.81179- 4 1.90000+ 1 4.78785- 4 2.10000+ 1 3.11221- 4 2.20000+ 1 2.94328- 4 2.40000+ 1 7.69910- 5 2.50000+ 1 7.49057- 5 2.70000+ 1 8.29662- 5 2.90000+ 1 5.44469- 5 3.00000+ 1 3.93045- 5 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.80731- 1 6.90990- 2 6.00000+ 0 4.75791- 1 7.10660- 2 1.00000+ 1 5.25591- 2 8.00791- 2 1.10000+ 1 1.01720- 1 8.05161- 2 1.30000+ 1 1.35610- 3 8.09582- 2 1.40000+ 1 1.65880- 3 8.10522- 2 1.80000+ 1 1.23900- 2 8.26798- 2 1.90000+ 1 2.42651- 2 8.27859- 2 2.10000+ 1 3.52391- 4 8.29748- 2 2.20000+ 1 4.30141- 4 8.29946- 2 2.90000+ 1 2.86281- 3 8.32657- 2 3.00000+ 1 5.62191- 3 8.32847- 2 3.20000+ 1 3.75921- 5 8.33370- 2 3.30000+ 1 4.43981- 5 8.33390- 2 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.25534- 3 5.37010- 2 3.00000+ 0 5.00000+ 0 6.63839- 3 5.42730- 2 3.00000+ 0 6.00000+ 0 3.83425- 3 5.62400- 2 3.00000+ 0 8.00000+ 0 1.71069- 3 6.49902- 2 3.00000+ 0 1.00000+ 1 1.42989- 3 6.52531- 2 3.00000+ 0 1.10000+ 1 8.92185- 4 6.56901- 2 3.00000+ 0 1.30000+ 1 7.46286- 5 6.61322- 2 3.00000+ 0 1.40000+ 1 5.69014- 5 6.62262- 2 3.00000+ 0 1.60000+ 1 4.26387- 4 6.77396- 2 3.00000+ 0 1.80000+ 1 3.47681- 4 6.78538- 2 3.00000+ 0 1.90000+ 1 2.16109- 4 6.79599- 2 3.00000+ 0 2.10000+ 1 1.92380- 5 6.81488- 2 3.00000+ 0 2.20000+ 1 1.44279- 5 6.81686- 2 3.00000+ 0 2.40000+ 1 5.40412- 8 6.84135- 2 3.00000+ 0 2.50000+ 1 5.40412- 8 6.84179- 2 3.00000+ 0 2.70000+ 1 8.72175- 5 6.84013- 2 3.00000+ 0 2.90000+ 1 6.28489- 5 6.84397- 2 3.00000+ 0 3.00000+ 1 3.74492- 5 6.84587- 2 3.00000+ 0 3.20000+ 1 1.94543- 6 6.85110- 2 3.00000+ 0 3.30000+ 1 1.35101- 6 6.85130- 2 5.00000+ 0 5.00000+ 0 3.78117- 4 5.48450- 2 5.00000+ 0 6.00000+ 0 6.84710- 3 5.68120- 2 5.00000+ 0 8.00000+ 0 1.15445- 3 6.55622- 2 5.00000+ 0 1.00000+ 1 1.42886- 4 6.58251- 2 5.00000+ 0 1.10000+ 1 1.33004- 3 6.62621- 2 5.00000+ 0 1.30000+ 1 7.72789- 5 6.67042- 2 5.00000+ 0 1.40000+ 1 2.05732- 4 6.67982- 2 5.00000+ 0 1.60000+ 1 2.78417- 4 6.83116- 2 5.00000+ 0 1.80000+ 1 3.37211- 5 6.84258- 2 5.00000+ 0 1.90000+ 1 3.09163- 4 6.85319- 2 5.00000+ 0 2.10000+ 1 1.91841- 5 6.87208- 2 5.00000+ 0 2.20000+ 1 5.11781- 5 6.87406- 2 5.00000+ 0 2.40000+ 1 5.40427- 7 6.89855- 2 5.00000+ 0 2.50000+ 1 8.10602- 7 6.89899- 2 5.00000+ 0 2.70000+ 1 5.64734- 5 6.89733- 2 5.00000+ 0 2.90000+ 1 6.05234- 6 6.90117- 2 5.00000+ 0 3.00000+ 1 5.31226- 5 6.90307- 2 5.00000+ 0 3.20000+ 1 1.89144- 6 6.90830- 2 5.00000+ 0 3.30000+ 1 4.86388- 6 6.90850- 2 6.00000+ 0 6.00000+ 0 2.97247- 3 5.87790- 2 6.00000+ 0 8.00000+ 0 6.07693- 4 6.75292- 2 6.00000+ 0 1.00000+ 1 1.21481- 3 6.77921- 2 6.00000+ 0 1.10000+ 1 1.19284- 3 6.82291- 2 6.00000+ 0 1.30000+ 1 2.29785- 4 6.86712- 2 6.00000+ 0 1.40000+ 1 1.92440- 4 6.87652- 2 6.00000+ 0 1.60000+ 1 1.43378- 4 7.02786- 2 6.00000+ 0 1.80000+ 1 2.83228- 4 7.03928- 2 6.00000+ 0 1.90000+ 1 2.79710- 4 7.04989- 2 6.00000+ 0 2.10000+ 1 5.76072- 5 7.06878- 2 6.00000+ 0 2.20000+ 1 4.80401- 5 7.07076- 2 6.00000+ 0 2.40000+ 1 8.64651- 7 7.09525- 2 6.00000+ 0 2.50000+ 1 9.72742- 7 7.09569- 2 6.00000+ 0 2.70000+ 1 2.89123- 5 7.09403- 2 6.00000+ 0 2.90000+ 1 5.07448- 5 7.09787- 2 6.00000+ 0 3.00000+ 1 4.81531- 5 7.09977- 2 6.00000+ 0 3.20000+ 1 5.72821- 6 7.10500- 2 6.00000+ 0 3.30000+ 1 4.53962- 6 7.10520- 2 8.00000+ 0 8.00000+ 0 1.69092- 4 7.62794- 2 8.00000+ 0 1.00000+ 1 2.49284- 4 7.65423- 2 8.00000+ 0 1.10000+ 1 1.42611- 4 7.69793- 2 8.00000+ 0 1.30000+ 1 1.15649- 5 7.74214- 2 8.00000+ 0 1.40000+ 1 8.32219- 6 7.75154- 2 8.00000+ 0 1.60000+ 1 8.40343- 5 7.90288- 2 8.00000+ 0 1.80000+ 1 6.06892- 5 7.91430- 2 8.00000+ 0 1.90000+ 1 3.46404- 5 7.92491- 2 8.00000+ 0 2.10000+ 1 2.97226- 6 7.94380- 2 8.00000+ 0 2.20000+ 1 2.10755- 6 7.94578- 2 8.00000+ 0 2.70000+ 1 1.71853- 5 7.96905- 2 8.00000+ 0 2.90000+ 1 1.09700- 5 7.97289- 2 8.00000+ 0 3.00000+ 1 5.99856- 6 7.97479- 2 8.00000+ 0 3.20000+ 1 3.24240- 7 7.98002- 2 8.00000+ 0 3.30000+ 1 2.16160- 7 7.98022- 2 1.00000+ 1 1.00000+ 1 1.31322- 5 7.68052- 2 1.00000+ 1 1.10000+ 1 2.42591- 4 7.72422- 2 1.00000+ 1 1.30000+ 1 1.18347- 5 7.76843- 2 1.00000+ 1 1.40000+ 1 2.75608- 5 7.77783- 2 1.00000+ 1 1.60000+ 1 6.01514- 5 7.92917- 2 1.00000+ 1 1.80000+ 1 6.16056- 6 7.94059- 2 1.00000+ 1 1.90000+ 1 5.67441- 5 7.95120- 2 1.00000+ 1 2.10000+ 1 2.97229- 6 7.97009- 2 1.00000+ 1 2.20000+ 1 6.91759- 6 7.97207- 2 1.00000+ 1 2.40000+ 1 5.40438- 8 7.99656- 2 1.00000+ 1 2.50000+ 1 1.08081- 7 7.99700- 2 1.00000+ 1 2.70000+ 1 1.22133- 5 7.99534- 2 1.00000+ 1 2.90000+ 1 1.08081- 6 7.99918- 2 1.00000+ 1 3.00000+ 1 9.78133- 6 8.00108- 2 1.00000+ 1 3.20000+ 1 2.70203- 7 8.00631- 2 1.00000+ 1 3.30000+ 1 6.48529- 7 8.00651- 2 1.10000+ 1 1.10000+ 1 1.20832- 4 7.76792- 2 1.10000+ 1 1.30000+ 1 3.69640- 5 7.81213- 2 1.10000+ 1 1.40000+ 1 2.99405- 5 7.82153- 2 1.10000+ 1 1.60000+ 1 3.37220- 5 7.97287- 2 1.10000+ 1 1.80000+ 1 5.68523- 5 7.98429- 2 1.10000+ 1 1.90000+ 1 5.67968- 5 7.99490- 2 1.10000+ 1 2.10000+ 1 9.34942- 6 8.01379- 2 1.10000+ 1 2.20000+ 1 7.51188- 6 8.01577- 2 1.10000+ 1 2.40000+ 1 1.08082- 7 8.04026- 2 1.10000+ 1 2.50000+ 1 1.08082- 7 8.04070- 2 1.10000+ 1 2.70000+ 1 6.80912- 6 8.03904- 2 1.10000+ 1 2.90000+ 1 1.02137- 5 8.04288- 2 1.10000+ 1 3.00000+ 1 9.78141- 6 8.04478- 2 1.10000+ 1 3.20000+ 1 9.18705- 7 8.05001- 2 1.10000+ 1 3.30000+ 1 7.02532- 7 8.05021- 2 1.30000+ 1 1.30000+ 1 5.40420- 8 7.85634- 2 1.30000+ 1 1.40000+ 1 4.32331- 6 7.86574- 2 1.30000+ 1 1.60000+ 1 2.75599- 6 8.01708- 2 1.30000+ 1 1.80000+ 1 2.70194- 6 8.02850- 2 1.30000+ 1 1.90000+ 1 8.21401- 6 8.03911- 2 1.30000+ 1 2.10000+ 1 5.40420- 8 8.05800- 2 1.30000+ 1 2.20000+ 1 1.02676- 6 8.05998- 2 1.30000+ 1 2.70000+ 1 5.40420- 7 8.08325- 2 1.30000+ 1 2.90000+ 1 4.86381- 7 8.08709- 2 1.30000+ 1 3.00000+ 1 1.40507- 6 8.08899- 2 1.30000+ 1 3.30000+ 1 1.08078- 7 8.09442- 2 1.40000+ 1 1.40000+ 1 1.02674- 6 7.87514- 2 1.40000+ 1 1.60000+ 1 1.94543- 6 8.02648- 2 1.40000+ 1 1.80000+ 1 6.05216- 6 8.03790- 2 1.40000+ 1 1.90000+ 1 6.59264- 6 8.04851- 2 1.40000+ 1 2.10000+ 1 1.02674- 6 8.06740- 2 1.40000+ 1 2.20000+ 1 4.86374- 7 8.06938- 2 1.40000+ 1 2.70000+ 1 3.78266- 7 8.09265- 2 1.40000+ 1 2.90000+ 1 1.08076- 6 8.09649- 2 1.40000+ 1 3.00000+ 1 1.13481- 6 8.09839- 2 1.40000+ 1 3.20000+ 1 1.08076- 7 8.10362- 2 1.40000+ 1 3.30000+ 1 5.40412- 8 8.10382- 2 1.60000+ 1 1.60000+ 1 1.04303- 5 8.17781- 2 1.60000+ 1 1.80000+ 1 1.46450- 5 8.18924- 2 1.60000+ 1 1.90000+ 1 8.16034- 6 8.19984- 2 1.60000+ 1 2.10000+ 1 7.02527- 7 8.21873- 2 1.60000+ 1 2.20000+ 1 4.86397- 7 8.22071- 2 1.60000+ 1 2.70000+ 1 4.26930- 6 8.24398- 2 1.60000+ 1 2.90000+ 1 2.64798- 6 8.24782- 2 1.60000+ 1 3.00000+ 1 1.40512- 6 8.24973- 2 1.60000+ 1 3.20000+ 1 5.40438- 8 8.25496- 2 1.60000+ 1 3.30000+ 1 5.40438- 8 8.25516- 2 1.80000+ 1 1.80000+ 1 7.02497- 7 8.20067- 2 1.80000+ 1 1.90000+ 1 1.32937- 5 8.21127- 2 1.80000+ 1 2.10000+ 1 6.48502- 7 8.23016- 2 1.80000+ 1 2.20000+ 1 1.51316- 6 8.23214- 2 1.80000+ 1 2.70000+ 1 2.97216- 6 8.25541- 2 1.80000+ 1 2.90000+ 1 2.70192- 7 8.25925- 2 1.80000+ 1 3.00000+ 1 2.26963- 6 8.26115- 2 1.80000+ 1 3.20000+ 1 5.40415- 8 8.26638- 2 1.80000+ 1 3.30000+ 1 1.62126- 7 8.26659- 2 1.90000+ 1 1.90000+ 1 6.50587- 6 8.22187- 2 1.90000+ 1 2.10000+ 1 2.06279- 6 8.24077- 2 1.90000+ 1 2.20000+ 1 1.63967- 6 8.24274- 2 1.90000+ 1 2.50000+ 1 5.28953- 8 8.26767- 2 1.90000+ 1 2.70000+ 1 1.63967- 6 8.26601- 2 1.90000+ 1 2.90000+ 1 2.32740- 6 8.26985- 2 1.90000+ 1 3.00000+ 1 2.27449- 6 8.27176- 2 1.90000+ 1 3.20000+ 1 2.11569- 7 8.27699- 2 1.90000+ 1 3.30000+ 1 1.58687- 7 8.27719- 2 2.10000+ 1 2.20000+ 1 2.70197- 7 8.26164- 2 2.10000+ 1 2.70000+ 1 1.62129- 7 8.28491- 2 2.10000+ 1 2.90000+ 1 1.08079- 7 8.28874- 2 2.10000+ 1 3.00000+ 1 3.78276- 7 8.29065- 2 2.20000+ 1 2.20000+ 1 5.80772- 8 8.26362- 2 2.20000+ 1 2.70000+ 1 1.16147- 7 8.28688- 2 2.20000+ 1 2.90000+ 1 2.90369- 7 8.29072- 2 2.20000+ 1 3.00000+ 1 2.90369- 7 8.29263- 2 2.70000+ 1 2.70000+ 1 4.44317- 7 8.31015- 2 2.70000+ 1 2.90000+ 1 5.55402- 7 8.31399- 2 2.70000+ 1 3.00000+ 1 2.77684- 7 8.31590- 2 2.90000+ 1 3.00000+ 1 4.32341- 7 8.31974- 2 3.00000+ 1 3.00000+ 1 2.16158- 7 8.32164- 2 3.00000+ 1 3.20000+ 1 5.40427- 8 8.32687- 2 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.11470- 5 5.72000- 4 6.00000+ 0 2.36709- 3 2.53900- 3 1.00000+ 1 2.89369- 2 1.15521- 2 1.10000+ 1 3.28029- 2 1.19891- 2 1.30000+ 1 9.90946- 4 1.24312- 2 1.40000+ 1 1.48369- 3 1.25252- 2 1.80000+ 1 7.36307- 3 1.41528- 2 1.90000+ 1 9.02656- 3 1.42589- 2 2.10000+ 1 1.49179- 4 1.44478- 2 2.20000+ 1 2.35229- 4 1.44676- 2 2.90000+ 1 1.35989- 3 1.47387- 2 3.00000+ 1 1.62369- 3 1.47577- 2 3.20000+ 1 1.48249- 5 1.48100- 2 3.30000+ 1 2.29299- 5 1.48120- 2 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.90000+ 1 1.64303- 2 4.87000- 6 5.00000+ 0 2.10000+ 1 4.57643- 3 1.93790- 4 5.00000+ 0 2.20000+ 1 6.16876- 3 2.13580- 4 5.00000+ 0 2.40000+ 1 1.39465- 2 4.58500- 4 5.00000+ 0 2.50000+ 1 1.83741- 2 4.62870- 4 5.00000+ 0 2.70000+ 1 4.09188- 3 4.46270- 4 5.00000+ 0 2.90000+ 1 2.89181- 3 4.84660- 4 5.00000+ 0 3.00000+ 1 2.67853- 3 5.03700- 4 5.00000+ 0 3.20000+ 1 4.61003- 4 5.56020- 4 5.00000+ 0 3.30000+ 1 6.04398- 4 5.58040- 4 6.00000+ 0 1.30000+ 1 2.32807- 1 1.44200- 4 6.00000+ 0 1.40000+ 1 3.01210- 1 2.38200- 4 6.00000+ 0 1.60000+ 1 1.87711- 2 1.75156- 3 6.00000+ 0 1.80000+ 1 7.50052- 3 1.86583- 3 6.00000+ 0 1.90000+ 1 1.14928- 2 1.97187- 3 6.00000+ 0 2.10000+ 1 2.97691- 2 2.16079- 3 6.00000+ 0 2.20000+ 1 3.55725- 2 2.18058- 3 6.00000+ 0 2.40000+ 1 2.10198- 2 2.42550- 3 6.00000+ 0 2.50000+ 1 2.62554- 2 2.42987- 3 6.00000+ 0 2.70000+ 1 3.65854- 3 2.41327- 3 6.00000+ 0 2.90000+ 1 1.32596- 3 2.45166- 3 6.00000+ 0 3.00000+ 1 1.97340- 3 2.47070- 3 6.00000+ 0 3.20000+ 1 2.74503- 3 2.52302- 3 6.00000+ 0 3.30000+ 1 3.08569- 3 2.52504- 3 8.00000+ 0 8.00000+ 0 5.03358- 3 7.75240- 3 8.00000+ 0 1.00000+ 1 1.03249- 2 8.01530- 3 8.00000+ 0 1.10000+ 1 1.64963- 2 8.45230- 3 8.00000+ 0 1.30000+ 1 1.22987- 2 8.89440- 3 8.00000+ 0 1.40000+ 1 1.58993- 2 8.98840- 3 8.00000+ 0 1.60000+ 1 2.13158- 3 1.05018- 2 8.00000+ 0 1.80000+ 1 2.47595- 3 1.06160- 2 8.00000+ 0 1.90000+ 1 3.89420- 3 1.07221- 2 8.00000+ 0 2.10000+ 1 2.63133- 3 1.09110- 2 8.00000+ 0 2.20000+ 1 3.37146- 3 1.09308- 2 8.00000+ 0 2.40000+ 1 2.10158- 4 1.11757- 2 8.00000+ 0 2.50000+ 1 2.32487- 4 1.11801- 2 8.00000+ 0 2.70000+ 1 4.24467- 4 1.11635- 2 8.00000+ 0 2.90000+ 1 4.45794- 4 1.12019- 2 8.00000+ 0 3.00000+ 1 6.70971- 4 1.12209- 2 8.00000+ 0 3.20000+ 1 2.55984- 4 1.12732- 2 8.00000+ 0 3.30000+ 1 3.11478- 4 1.12752- 2 1.00000+ 1 1.00000+ 1 2.15296- 5 8.27820- 3 1.00000+ 1 1.10000+ 1 2.10947- 4 8.71520- 3 1.00000+ 1 1.30000+ 1 6.29091- 4 9.15730- 3 1.00000+ 1 1.40000+ 1 5.26123- 3 9.25130- 3 1.00000+ 1 1.60000+ 1 1.72411- 3 1.07647- 2 1.00000+ 1 1.80000+ 1 3.16026- 6 1.08789- 2 1.00000+ 1 1.90000+ 1 4.26634- 5 1.09850- 2 1.00000+ 1 2.10000+ 1 1.19497- 4 1.11739- 2 1.00000+ 1 2.20000+ 1 7.13230- 4 1.11937- 2 1.00000+ 1 2.40000+ 1 7.64415- 5 1.14386- 2 1.00000+ 1 2.50000+ 1 2.66442- 4 1.14430- 2 1.00000+ 1 2.70000+ 1 3.23735- 4 1.14264- 2 1.00000+ 1 2.90000+ 1 3.95027- 7 1.14648- 2 1.00000+ 1 3.00000+ 1 7.11060- 6 1.14838- 2 1.00000+ 1 3.20000+ 1 1.16537- 5 1.15361- 2 1.00000+ 1 3.30000+ 1 6.14273- 5 1.15381- 2 1.10000+ 1 1.10000+ 1 5.22222- 4 9.15220- 3 1.10000+ 1 1.30000+ 1 1.85879- 3 9.59430- 3 1.10000+ 1 1.40000+ 1 1.13947- 3 9.68830- 3 1.10000+ 1 1.60000+ 1 2.71620- 3 1.12017- 2 1.10000+ 1 1.80000+ 1 4.95765- 5 1.13159- 2 1.10000+ 1 1.90000+ 1 1.85469- 4 1.14220- 2 1.10000+ 1 2.10000+ 1 1.66111- 4 1.16109- 2 1.10000+ 1 2.20000+ 1 8.67056- 5 1.16307- 2 1.10000+ 1 2.40000+ 1 1.35895- 4 1.18756- 2 1.10000+ 1 2.50000+ 1 1.13177- 4 1.18800- 2 1.10000+ 1 2.70000+ 1 5.08603- 4 1.18634- 2 1.10000+ 1 2.90000+ 1 8.88834- 6 1.19018- 2 1.10000+ 1 3.00000+ 1 3.02197- 5 1.19208- 2 1.10000+ 1 3.20000+ 1 1.38264- 5 1.19731- 2 1.10000+ 1 3.30000+ 1 6.71544- 6 1.19751- 2 1.30000+ 1 1.30000+ 1 7.24889- 4 1.00364- 2 1.30000+ 1 1.40000+ 1 2.17079- 2 1.01304- 2 1.30000+ 1 1.60000+ 1 1.85532- 3 1.16438- 2 1.30000+ 1 1.80000+ 1 1.82902- 4 1.17580- 2 1.30000+ 1 1.90000+ 1 4.88664- 4 1.18641- 2 1.30000+ 1 2.10000+ 1 3.02602- 4 1.20530- 2 1.30000+ 1 2.20000+ 1 3.21640- 3 1.20728- 2 1.30000+ 1 2.40000+ 1 2.26758- 4 1.23177- 2 1.30000+ 1 2.50000+ 1 6.26730- 4 1.23221- 2 1.30000+ 1 2.70000+ 1 3.41508- 4 1.23055- 2 1.30000+ 1 2.90000+ 1 3.41718- 5 1.23439- 2 1.30000+ 1 3.00000+ 1 8.57192- 5 1.23629- 2 1.30000+ 1 3.20000+ 1 2.94303- 5 1.24152- 2 1.30000+ 1 3.30000+ 1 2.79884- 4 1.24172- 2 1.40000+ 1 1.40000+ 1 6.01386- 3 1.02244- 2 1.40000+ 1 1.60000+ 1 2.43241- 3 1.17378- 2 1.40000+ 1 1.80000+ 1 1.11926- 3 1.18520- 2 1.40000+ 1 1.90000+ 1 3.08122- 4 1.19581- 2 1.40000+ 1 2.10000+ 1 3.12242- 3 1.21470- 2 1.40000+ 1 2.20000+ 1 1.88126- 3 1.21668- 2 1.40000+ 1 2.40000+ 1 6.91694- 4 1.24117- 2 1.40000+ 1 2.50000+ 1 5.23606- 4 1.24161- 2 1.40000+ 1 2.70000+ 1 4.49935- 4 1.23995- 2 1.40000+ 1 2.90000+ 1 1.97115- 4 1.24379- 2 1.40000+ 1 3.00000+ 1 5.45143- 5 1.24569- 2 1.40000+ 1 3.20000+ 1 2.84215- 4 1.25092- 2 1.40000+ 1 3.30000+ 1 1.65519- 4 1.25112- 2 1.60000+ 1 1.60000+ 1 2.13117- 4 1.32511- 2 1.60000+ 1 1.80000+ 1 4.14786- 4 1.33654- 2 1.60000+ 1 1.90000+ 1 6.43911- 4 1.34714- 2 1.60000+ 1 2.10000+ 1 3.97998- 4 1.36603- 2 1.60000+ 1 2.20000+ 1 5.13935- 4 1.36801- 2 1.60000+ 1 2.40000+ 1 2.62703- 5 1.39251- 2 1.60000+ 1 2.50000+ 1 2.80481- 5 1.39294- 2 1.60000+ 1 2.70000+ 1 8.37445- 5 1.39128- 2 1.60000+ 1 2.90000+ 1 7.46638- 5 1.39512- 2 1.60000+ 1 3.00000+ 1 1.10998- 4 1.39703- 2 1.60000+ 1 3.20000+ 1 3.87129- 5 1.40226- 2 1.60000+ 1 3.30000+ 1 4.74040- 5 1.40246- 2 1.80000+ 1 1.90000+ 1 1.00727- 5 1.35857- 2 1.80000+ 1 2.10000+ 1 3.06153- 5 1.37746- 2 1.80000+ 1 2.20000+ 1 1.57810- 4 1.37944- 2 1.80000+ 1 2.40000+ 1 1.06657- 5 1.40393- 2 1.80000+ 1 2.50000+ 1 4.16759- 5 1.40437- 2 1.80000+ 1 2.70000+ 1 7.78202- 5 1.40271- 2 1.80000+ 1 3.00000+ 1 1.77768- 6 1.40845- 2 1.80000+ 1 3.20000+ 1 2.96264- 6 1.41368- 2 1.80000+ 1 3.30000+ 1 1.36283- 5 1.41389- 2 1.90000+ 1 1.90000+ 1 1.58025- 5 1.36917- 2 1.90000+ 1 2.10000+ 1 4.93793- 5 1.38807- 2 1.90000+ 1 2.20000+ 1 2.88383- 5 1.39004- 2 1.90000+ 1 2.40000+ 1 2.72574- 5 1.41454- 2 1.90000+ 1 2.50000+ 1 2.21218- 5 1.41497- 2 1.90000+ 1 2.70000+ 1 1.20688- 4 1.41331- 2 1.90000+ 1 2.90000+ 1 1.77773- 6 1.41715- 2 1.90000+ 1 3.00000+ 1 5.13551- 6 1.41906- 2 1.90000+ 1 3.20000+ 1 4.14790- 6 1.42429- 2 1.90000+ 1 3.30000+ 1 2.37028- 6 1.42449- 2 2.10000+ 1 2.10000+ 1 2.92328- 5 1.40696- 2 2.10000+ 1 2.20000+ 1 5.06234- 4 1.40894- 2 2.10000+ 1 2.40000+ 1 3.25904- 5 1.43343- 2 2.10000+ 1 2.50000+ 1 6.87351- 5 1.43387- 2 2.10000+ 1 2.70000+ 1 7.32766- 5 1.43221- 2 2.10000+ 1 2.90000+ 1 5.53048- 6 1.43604- 2 2.10000+ 1 3.00000+ 1 8.88834- 6 1.43795- 2 2.10000+ 1 3.20000+ 1 5.53048- 6 1.44318- 2 2.10000+ 1 3.30000+ 1 4.46390- 5 1.44338- 2 2.20000+ 1 2.20000+ 1 1.57813- 4 1.41092- 2 2.20000+ 1 2.40000+ 1 7.97952- 5 1.43541- 2 2.20000+ 1 2.50000+ 1 6.73527- 5 1.43584- 2 2.20000+ 1 2.70000+ 1 9.48042- 5 1.43418- 2 2.20000+ 1 2.90000+ 1 2.80480- 5 1.43802- 2 2.20000+ 1 3.00000+ 1 5.33293- 6 1.43993- 2 2.20000+ 1 3.20000+ 1 4.66140- 5 1.44516- 2 2.20000+ 1 3.30000+ 1 2.80480- 5 1.44536- 2 2.40000+ 1 2.40000+ 1 1.00087- 6 1.45990- 2 2.40000+ 1 2.50000+ 1 1.95175- 5 1.46034- 2 2.40000+ 1 2.70000+ 1 6.00537- 6 1.45868- 2 2.40000+ 1 2.90000+ 1 2.25209- 6 1.46252- 2 2.40000+ 1 3.00000+ 1 5.75520- 6 1.46442- 2 2.40000+ 1 3.20000+ 1 3.75328- 6 1.46965- 2 2.40000+ 1 3.30000+ 1 8.50750- 6 1.46985- 2 2.50000+ 1 2.50000+ 1 4.77434- 6 1.46077- 2 2.50000+ 1 2.70000+ 1 7.02089- 6 1.45911- 2 2.50000+ 1 2.90000+ 1 9.82929- 6 1.46295- 2 2.50000+ 1 3.00000+ 1 5.33590- 6 1.46486- 2 2.50000+ 1 3.20000+ 1 8.42510- 6 1.47009- 2 2.50000+ 1 3.30000+ 1 8.14431- 6 1.47029- 2 2.70000+ 1 2.70000+ 1 1.70792- 5 1.45745- 2 2.70000+ 1 2.90000+ 1 2.88752- 5 1.46129- 2 2.70000+ 1 3.00000+ 1 4.27013- 5 1.46320- 2 2.70000+ 1 3.20000+ 1 1.46401- 5 1.46843- 2 2.70000+ 1 3.30000+ 1 1.78936- 5 1.46863- 2 2.90000+ 1 3.00000+ 1 1.08132- 6 1.46704- 2 2.90000+ 1 3.20000+ 1 1.62199- 6 1.47227- 2 2.90000+ 1 3.30000+ 1 6.48815- 6 1.47247- 2 3.00000+ 1 3.00000+ 1 1.09035- 6 1.46894- 2 3.00000+ 1 3.20000+ 1 2.18067- 6 1.47417- 2 3.00000+ 1 3.30000+ 1 1.09035- 6 1.47437- 2 3.20000+ 1 3.20000+ 1 1.92278- 7 1.47940- 2 3.20000+ 1 3.30000+ 1 4.03781- 6 1.47961- 2 3.30000+ 1 3.30000+ 1 1.17230- 6 1.47981- 2 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 8.06327- 6 1.96700- 3 8.00000+ 0 8.10577- 3 1.07172- 2 1.10000+ 1 3.15963- 4 1.14171- 2 1.30000+ 1 2.99143- 1 1.18592- 2 1.60000+ 1 2.06932- 3 1.34666- 2 1.90000+ 1 8.62068- 5 1.36869- 2 2.10000+ 1 5.97505- 2 1.38758- 2 2.40000+ 1 2.28002- 4 1.41405- 2 2.70000+ 1 4.25784- 4 1.41283- 2 3.00000+ 1 1.71942- 5 1.41857- 2 3.20000+ 1 6.19976- 3 1.42380- 2 4.10000+ 1 4.11624- 5 1.42444- 2 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 5.50930- 3 1.17956- 3 6.00000+ 0 1.80000+ 1 3.82629- 2 1.29383- 3 6.00000+ 0 1.90000+ 1 1.07945- 2 1.39987- 3 6.00000+ 0 2.10000+ 1 3.98028- 2 1.58879- 3 6.00000+ 0 2.20000+ 1 1.37273- 2 1.60858- 3 6.00000+ 0 2.40000+ 1 1.55912- 3 1.85350- 3 6.00000+ 0 2.50000+ 1 2.34067- 3 1.85787- 3 6.00000+ 0 2.70000+ 1 1.03405- 3 1.84127- 3 6.00000+ 0 2.90000+ 1 6.36615- 3 1.87966- 3 6.00000+ 0 3.00000+ 1 1.82030- 3 1.89870- 3 6.00000+ 0 3.20000+ 1 3.73080- 3 1.95102- 3 6.00000+ 0 3.30000+ 1 1.23324- 3 1.95304- 3 8.00000+ 0 8.00000+ 0 5.96032- 4 7.18040- 3 8.00000+ 0 1.00000+ 1 2.03303- 2 7.44330- 3 8.00000+ 0 1.10000+ 1 1.91384- 3 7.88030- 3 8.00000+ 0 1.30000+ 1 3.03745- 3 8.32240- 3 8.00000+ 0 1.40000+ 1 1.89674- 3 8.41640- 3 8.00000+ 0 1.60000+ 1 2.28522- 4 9.92976- 3 8.00000+ 0 1.80000+ 1 3.22334- 3 1.00440- 2 8.00000+ 0 1.90000+ 1 4.04198- 4 1.01501- 2 8.00000+ 0 2.10000+ 1 4.59503- 4 1.03390- 2 8.00000+ 0 2.20000+ 1 2.44670- 4 1.03588- 2 8.00000+ 0 2.40000+ 1 9.00428- 5 1.06037- 2 8.00000+ 0 2.50000+ 1 6.16570- 5 1.06081- 2 8.00000+ 0 2.70000+ 1 4.45314- 5 1.05915- 2 8.00000+ 0 2.90000+ 1 5.34858- 4 1.06299- 2 8.00000+ 0 3.00000+ 1 6.80186- 5 1.06489- 2 8.00000+ 0 3.20000+ 1 4.25726- 5 1.07012- 2 8.00000+ 0 3.30000+ 1 2.10423- 5 1.07032- 2 1.00000+ 1 1.00000+ 1 2.11793- 2 7.70620- 3 1.00000+ 1 1.10000+ 1 5.47978- 2 8.14320- 3 1.00000+ 1 1.30000+ 1 2.85147- 2 8.58530- 3 1.00000+ 1 1.40000+ 1 4.12508- 2 8.67930- 3 1.00000+ 1 1.60000+ 1 5.18710- 3 1.01927- 2 1.00000+ 1 1.80000+ 1 8.55903- 3 1.03069- 2 1.00000+ 1 1.90000+ 1 1.27070- 2 1.04130- 2 1.00000+ 1 2.10000+ 1 6.09882- 3 1.06019- 2 1.00000+ 1 2.20000+ 1 8.78851- 3 1.06217- 2 1.00000+ 1 2.40000+ 1 4.50695- 4 1.08666- 2 1.00000+ 1 2.50000+ 1 3.96379- 4 1.08710- 2 1.00000+ 1 2.70000+ 1 1.06482- 3 1.08544- 2 1.00000+ 1 2.90000+ 1 1.49839- 3 1.08928- 2 1.00000+ 1 3.00000+ 1 2.18193- 3 1.09118- 2 1.00000+ 1 3.20000+ 1 5.93593- 4 1.09641- 2 1.00000+ 1 3.30000+ 1 8.12817- 4 1.09661- 2 1.10000+ 1 1.10000+ 1 1.27182- 3 8.58020- 3 1.10000+ 1 1.30000+ 1 2.65511- 2 9.02230- 3 1.10000+ 1 1.40000+ 1 3.82674- 3 9.11630- 3 1.10000+ 1 1.60000+ 1 4.10572- 4 1.06297- 2 1.10000+ 1 1.80000+ 1 8.87528- 3 1.07439- 2 1.10000+ 1 1.90000+ 1 5.05506- 4 1.08500- 2 1.10000+ 1 2.10000+ 1 4.78307- 3 1.10389- 2 1.10000+ 1 2.20000+ 1 6.61604- 4 1.10587- 2 1.10000+ 1 2.40000+ 1 1.93296- 4 1.13036- 2 1.10000+ 1 2.50000+ 1 1.02763- 4 1.13080- 2 1.10000+ 1 2.70000+ 1 8.12324- 5 1.12914- 2 1.10000+ 1 2.90000+ 1 1.47840- 3 1.13298- 2 1.10000+ 1 3.00000+ 1 8.41692- 5 1.13488- 2 1.10000+ 1 3.20000+ 1 4.52658- 4 1.14011- 2 1.10000+ 1 3.30000+ 1 5.92118- 5 1.14031- 2 1.30000+ 1 1.30000+ 1 2.50821- 2 9.46440- 3 1.30000+ 1 1.40000+ 1 1.00239- 1 9.55840- 3 1.30000+ 1 1.60000+ 1 7.76062- 4 1.10718- 2 1.30000+ 1 1.80000+ 1 4.48709- 3 1.11860- 2 1.30000+ 1 1.90000+ 1 5.71105- 3 1.12921- 2 1.30000+ 1 2.10000+ 1 8.91099- 3 1.14810- 2 1.30000+ 1 2.20000+ 1 1.91827- 2 1.15008- 2 1.30000+ 1 2.40000+ 1 1.61282- 3 1.17457- 2 1.30000+ 1 2.50000+ 1 3.26432- 3 1.17501- 2 1.30000+ 1 2.70000+ 1 1.59522- 4 1.17335- 2 1.30000+ 1 2.90000+ 1 7.49684- 4 1.17719- 2 1.30000+ 1 3.00000+ 1 9.66430- 4 1.17909- 2 1.30000+ 1 3.20000+ 1 8.45084- 4 1.18432- 2 1.30000+ 1 3.30000+ 1 1.74450- 3 1.18452- 2 1.40000+ 1 1.40000+ 1 4.86075- 3 9.65240- 3 1.40000+ 1 1.60000+ 1 3.90993- 4 1.11658- 2 1.40000+ 1 1.80000+ 1 5.73269- 3 1.12800- 2 1.40000+ 1 1.90000+ 1 7.57016- 4 1.13861- 2 1.40000+ 1 2.10000+ 1 1.46410- 2 1.15750- 2 1.40000+ 1 2.20000+ 1 1.69118- 3 1.15948- 2 1.40000+ 1 2.40000+ 1 6.44955- 4 1.18397- 2 1.40000+ 1 2.50000+ 1 2.47622- 4 1.18441- 2 1.40000+ 1 2.70000+ 1 7.68296- 5 1.18275- 2 1.40000+ 1 2.90000+ 1 9.24875- 4 1.18659- 2 1.40000+ 1 3.00000+ 1 1.25772- 4 1.18849- 2 1.40000+ 1 3.20000+ 1 1.33941- 3 1.19372- 2 1.40000+ 1 3.30000+ 1 1.52190- 4 1.19392- 2 1.60000+ 1 1.60000+ 1 2.10434- 5 1.26791- 2 1.60000+ 1 1.80000+ 1 8.27008- 4 1.27934- 2 1.60000+ 1 1.90000+ 1 8.71096- 5 1.28994- 2 1.60000+ 1 2.10000+ 1 1.14027- 4 1.30883- 2 1.60000+ 1 2.20000+ 1 5.04057- 5 1.31081- 2 1.60000+ 1 2.40000+ 1 2.00634- 5 1.33531- 2 1.60000+ 1 2.50000+ 1 1.12557- 5 1.33574- 2 1.60000+ 1 2.70000+ 1 8.31938- 6 1.33408- 2 1.60000+ 1 2.90000+ 1 1.37517- 4 1.33792- 2 1.60000+ 1 3.00000+ 1 1.46816- 5 1.33983- 2 1.60000+ 1 3.20000+ 1 1.02768- 5 1.34506- 2 1.60000+ 1 3.30000+ 1 4.40448- 6 1.34526- 2 1.80000+ 1 1.80000+ 1 8.21618- 4 1.29077- 2 1.80000+ 1 1.90000+ 1 2.06316- 3 1.30137- 2 1.80000+ 1 2.10000+ 1 9.45459- 4 1.32026- 2 1.80000+ 1 2.20000+ 1 1.23323- 3 1.32224- 2 1.80000+ 1 2.40000+ 1 5.77442- 5 1.34673- 2 1.80000+ 1 2.50000+ 1 4.11064- 5 1.34717- 2 1.80000+ 1 2.70000+ 1 1.69809- 4 1.34551- 2 1.80000+ 1 2.90000+ 1 2.84812- 4 1.34935- 2 1.80000+ 1 3.00000+ 1 3.54298- 4 1.35125- 2 1.80000+ 1 3.20000+ 1 9.20022- 5 1.35648- 2 1.80000+ 1 3.30000+ 1 1.14023- 4 1.35669- 2 1.90000+ 1 1.90000+ 1 5.04009- 5 1.31197- 2 1.90000+ 1 2.10000+ 1 1.03638- 3 1.33087- 2 1.90000+ 1 2.20000+ 1 1.33104- 4 1.33284- 2 1.90000+ 1 2.40000+ 1 3.52327- 5 1.35734- 2 1.90000+ 1 2.50000+ 1 1.71269- 5 1.35777- 2 1.90000+ 1 2.70000+ 1 1.71269- 5 1.35611- 2 1.90000+ 1 2.90000+ 1 3.43508- 4 1.35995- 2 1.90000+ 1 3.00000+ 1 1.66370- 5 1.36186- 2 1.90000+ 1 3.20000+ 1 9.83570- 5 1.36709- 2 1.90000+ 1 3.30000+ 1 1.17436- 5 1.36729- 2 2.10000+ 1 2.10000+ 1 7.83455- 4 1.34976- 2 2.10000+ 1 2.20000+ 1 2.91759- 3 1.35174- 2 2.10000+ 1 2.40000+ 1 1.96225- 4 1.37623- 2 2.10000+ 1 2.50000+ 1 4.01762- 4 1.37667- 2 2.10000+ 1 2.70000+ 1 2.34883- 5 1.37501- 2 2.10000+ 1 2.90000+ 1 1.57079- 4 1.37884- 2 2.10000+ 1 3.00000+ 1 1.75678- 4 1.38075- 2 2.10000+ 1 3.20000+ 1 1.48270- 4 1.38598- 2 2.10000+ 1 3.30000+ 1 2.66701- 4 1.38618- 2 2.20000+ 1 2.20000+ 1 1.53448- 4 1.35372- 2 2.20000+ 1 2.40000+ 1 8.81219- 5 1.37821- 2 2.20000+ 1 2.50000+ 1 3.44378- 5 1.37864- 2 2.20000+ 1 2.70000+ 1 1.01287- 5 1.37698- 2 2.20000+ 1 2.90000+ 1 2.06132- 4 1.38082- 2 2.20000+ 1 3.00000+ 1 2.27906- 5 1.38273- 2 2.20000+ 1 3.20000+ 1 2.78044- 4 1.38796- 2 2.20000+ 1 3.30000+ 1 2.78541- 5 1.38816- 2 2.40000+ 1 2.40000+ 1 4.70085- 6 1.40270- 2 2.40000+ 1 2.50000+ 1 3.18619- 5 1.40314- 2 2.40000+ 1 2.70000+ 1 4.17854- 6 1.40148- 2 2.40000+ 1 2.90000+ 1 9.92350- 6 1.40532- 2 2.40000+ 1 3.00000+ 1 6.26769- 6 1.40722- 2 2.40000+ 1 3.20000+ 1 1.88030- 5 1.41245- 2 2.40000+ 1 3.30000+ 1 7.83422- 6 1.41265- 2 2.50000+ 1 2.50000+ 1 2.15552- 6 1.40357- 2 2.50000+ 1 2.70000+ 1 2.15552- 6 1.40191- 2 2.50000+ 1 2.90000+ 1 7.00571- 6 1.40575- 2 2.50000+ 1 3.00000+ 1 3.23334- 6 1.40766- 2 2.50000+ 1 3.20000+ 1 3.93391- 5 1.41289- 2 2.50000+ 1 3.30000+ 1 3.23334- 6 1.41309- 2 2.70000+ 1 2.70000+ 1 1.02751- 6 1.40025- 2 2.70000+ 1 2.90000+ 1 2.97978- 5 1.40409- 2 2.70000+ 1 3.00000+ 1 3.08255- 6 1.40600- 2 2.70000+ 1 3.20000+ 1 2.05499- 6 1.41123- 2 2.70000+ 1 3.30000+ 1 1.02751- 6 1.41143- 2 2.90000+ 1 2.90000+ 1 2.61957- 5 1.40793- 2 2.90000+ 1 3.00000+ 1 6.33946- 5 1.40984- 2 2.90000+ 1 3.20000+ 1 1.62416- 5 1.41507- 2 2.90000+ 1 3.30000+ 1 1.99093- 5 1.41527- 2 3.00000+ 1 3.00000+ 1 1.82013- 6 1.41174- 2 3.00000+ 1 3.20000+ 1 2.06274- 5 1.41697- 2 3.00000+ 1 3.30000+ 1 2.42670- 6 1.41717- 2 3.20000+ 1 3.20000+ 1 6.85109- 6 1.42220- 2 3.20000+ 1 3.30000+ 1 2.44672- 5 1.42241- 2 3.30000+ 1 3.30000+ 1 1.20551- 6 1.42261- 2 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.50160- 2 8.75020- 3 1.00000+ 1 1.49590- 4 9.01310- 3 1.10000+ 1 1.35310- 4 9.45010- 3 1.30000+ 1 2.61959- 2 9.89220- 3 1.40000+ 1 2.30739- 1 9.98620- 3 1.60000+ 1 3.21879- 3 1.14996- 2 1.80000+ 1 3.36059- 5 1.16138- 2 1.90000+ 1 3.40449- 5 1.17199- 2 2.10000+ 1 4.82529- 3 1.19088- 2 2.20000+ 1 4.35509- 2 1.19286- 2 2.40000+ 1 3.40449- 5 1.21735- 2 2.50000+ 1 1.90439- 4 1.21779- 2 2.70000+ 1 6.85938- 4 1.21613- 2 2.90000+ 1 7.02558- 6 1.21997- 2 3.00000+ 1 7.11068- 6 1.22187- 2 3.20000+ 1 4.89959- 4 1.22710- 2 3.30000+ 1 4.28479- 3 1.22730- 2 4.10000+ 1 6.35008- 5 1.22774- 2 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 7.56609- 4 5.21340- 3 8.00000+ 0 1.00000+ 1 3.90608- 4 5.47630- 3 8.00000+ 0 1.10000+ 1 2.14763- 2 5.91330- 3 8.00000+ 0 1.30000+ 1 2.63695- 3 6.35540- 3 8.00000+ 0 1.40000+ 1 4.31923- 3 6.44940- 3 8.00000+ 0 1.60000+ 1 2.91845- 4 7.96276- 3 8.00000+ 0 1.80000+ 1 6.97710- 5 8.07703- 3 8.00000+ 0 1.90000+ 1 3.32859- 3 8.18307- 3 8.00000+ 0 2.10000+ 1 2.71202- 4 8.37199- 3 8.00000+ 0 2.20000+ 1 4.06813- 4 8.39178- 3 8.00000+ 0 2.40000+ 1 2.13733- 4 8.63670- 3 8.00000+ 0 2.50000+ 1 3.79312- 4 8.64107- 3 8.00000+ 0 2.70000+ 1 5.65017- 5 8.62447- 3 8.00000+ 0 2.90000+ 1 1.17918- 5 8.66286- 3 8.00000+ 0 3.00000+ 1 5.29159- 4 8.68190- 3 8.00000+ 0 3.20000+ 1 2.35835- 5 8.73422- 3 8.00000+ 0 3.30000+ 1 3.29181- 5 8.73624- 3 1.00000+ 1 1.00000+ 1 4.76574- 5 5.73920- 3 1.00000+ 1 1.10000+ 1 3.60397- 2 6.17620- 3 1.00000+ 1 1.30000+ 1 1.74316- 3 6.61830- 3 1.00000+ 1 1.40000+ 1 1.49505- 2 6.71230- 3 1.00000+ 1 1.60000+ 1 8.00827- 5 8.22566- 3 1.00000+ 1 1.80000+ 1 2.26007- 5 8.33993- 3 1.00000+ 1 1.90000+ 1 5.80647- 3 8.44597- 3 1.00000+ 1 2.10000+ 1 3.28210- 4 8.63489- 3 1.00000+ 1 2.20000+ 1 2.33374- 3 8.65468- 3 1.00000+ 1 2.40000+ 1 2.12732- 4 8.89960- 3 1.00000+ 1 2.50000+ 1 5.38972- 4 8.90397- 3 1.00000+ 1 2.70000+ 1 1.62141- 5 8.88737- 3 1.00000+ 1 2.90000+ 1 4.42197- 6 8.92576- 3 1.00000+ 1 3.00000+ 1 9.29548- 4 8.94480- 3 1.00000+ 1 3.20000+ 1 3.14445- 5 8.99712- 3 1.00000+ 1 3.30000+ 1 2.06344- 4 8.99914- 3 1.10000+ 1 1.10000+ 1 4.58199- 2 6.61320- 3 1.10000+ 1 1.30000+ 1 4.79581- 2 7.05530- 3 1.10000+ 1 1.40000+ 1 6.53971- 2 7.14930- 3 1.10000+ 1 1.60000+ 1 5.39581- 3 8.66266- 3 1.10000+ 1 1.80000+ 1 8.11897- 3 8.77693- 3 1.10000+ 1 1.90000+ 1 1.78567- 2 8.88297- 3 1.10000+ 1 2.10000+ 1 9.67360- 3 9.07189- 3 1.10000+ 1 2.20000+ 1 1.29944- 2 9.09168- 3 1.10000+ 1 2.40000+ 1 8.17595- 4 9.33660- 3 1.10000+ 1 2.50000+ 1 1.01315- 3 9.34097- 3 1.10000+ 1 2.70000+ 1 1.10451- 3 9.32437- 3 1.10000+ 1 2.90000+ 1 1.44649- 3 9.36276- 3 1.10000+ 1 3.00000+ 1 2.97946- 3 9.38180- 3 1.10000+ 1 3.20000+ 1 9.34522- 4 9.43412- 3 1.10000+ 1 3.30000+ 1 1.18898- 3 9.43614- 3 1.30000+ 1 1.30000+ 1 6.68779- 3 7.49740- 3 1.30000+ 1 1.40000+ 1 1.25375- 1 7.59140- 3 1.30000+ 1 1.60000+ 1 6.30363- 4 9.10476- 3 1.30000+ 1 1.80000+ 1 4.09771- 4 9.21903- 3 1.30000+ 1 1.90000+ 1 7.05416- 3 9.32507- 3 1.30000+ 1 2.10000+ 1 2.29597- 3 9.51399- 3 1.30000+ 1 2.20000+ 1 1.80125- 2 9.53378- 3 1.30000+ 1 2.40000+ 1 4.52506- 4 9.77870- 3 1.30000+ 1 2.50000+ 1 1.53685- 3 9.78307- 3 1.30000+ 1 2.70000+ 1 1.28234- 4 9.76647- 3 1.30000+ 1 2.90000+ 1 7.32077- 5 9.80486- 3 1.30000+ 1 3.00000+ 1 1.10940- 3 9.82390- 3 1.30000+ 1 3.20000+ 1 2.17162- 4 9.87622- 3 1.30000+ 1 3.30000+ 1 1.56683- 3 9.87824- 3 1.40000+ 1 1.40000+ 1 8.35788- 2 7.68540- 3 1.40000+ 1 1.60000+ 1 1.05139- 3 9.19876- 3 1.40000+ 1 1.80000+ 1 3.06332- 3 9.31303- 3 1.40000+ 1 1.90000+ 1 1.08498- 2 9.41907- 3 1.40000+ 1 2.10000+ 1 2.17576- 2 9.60799- 3 1.40000+ 1 2.20000+ 1 2.74334- 2 9.62778- 3 1.40000+ 1 2.40000+ 1 4.78784- 3 9.87270- 3 1.40000+ 1 2.50000+ 1 4.36030- 3 9.87707- 3 1.40000+ 1 2.70000+ 1 2.15677- 4 9.86047- 3 1.40000+ 1 2.90000+ 1 5.36023- 4 9.89886- 3 1.40000+ 1 3.00000+ 1 1.75842- 3 9.91790- 3 1.40000+ 1 3.20000+ 1 2.05311- 3 9.97022- 3 1.40000+ 1 3.30000+ 1 2.44386- 3 9.97224- 3 1.60000+ 1 1.60000+ 1 2.84950- 5 1.07121- 2 1.60000+ 1 1.80000+ 1 1.52306- 5 1.08264- 2 1.60000+ 1 1.90000+ 1 8.37640- 4 1.09324- 2 1.60000+ 1 2.10000+ 1 7.07444- 5 1.11213- 2 1.60000+ 1 2.20000+ 1 1.07105- 4 1.11411- 2 1.60000+ 1 2.40000+ 1 2.89858- 5 1.13861- 2 1.60000+ 1 2.50000+ 1 5.84645- 5 1.13904- 2 1.60000+ 1 2.70000+ 1 1.13003- 5 1.13738- 2 1.60000+ 1 2.90000+ 1 2.45647- 6 1.14122- 2 1.60000+ 1 3.00000+ 1 1.33144- 4 1.14313- 2 1.60000+ 1 3.20000+ 1 6.38682- 6 1.14836- 2 1.60000+ 1 3.30000+ 1 8.84339- 6 1.14856- 2 1.80000+ 1 1.80000+ 1 1.47397- 6 1.09407- 2 1.80000+ 1 1.90000+ 1 1.30153- 3 1.10467- 2 1.80000+ 1 2.10000+ 1 7.27190- 5 1.12356- 2 1.80000+ 1 2.20000+ 1 5.09007- 4 1.12554- 2 1.80000+ 1 2.40000+ 1 3.09539- 5 1.15003- 2 1.80000+ 1 2.50000+ 1 7.51721- 5 1.15047- 2 1.80000+ 1 2.70000+ 1 2.94794- 6 1.14881- 2 1.80000+ 1 2.90000+ 1 4.91332- 7 1.15265- 2 1.80000+ 1 3.00000+ 1 2.08315- 4 1.15455- 2 1.80000+ 1 3.20000+ 1 6.87854- 6 1.15978- 2 1.80000+ 1 3.30000+ 1 4.52017- 5 1.15999- 2 1.90000+ 1 1.90000+ 1 1.66660- 3 1.11527- 2 1.90000+ 1 2.10000+ 1 1.42629- 3 1.13417- 2 1.90000+ 1 2.20000+ 1 2.12254- 3 1.13614- 2 1.90000+ 1 2.40000+ 1 9.87594- 5 1.16064- 2 1.90000+ 1 2.50000+ 1 1.29214- 4 1.16107- 2 1.90000+ 1 2.70000+ 1 1.71468- 4 1.15941- 2 1.90000+ 1 2.90000+ 1 2.31407- 4 1.16325- 2 1.90000+ 1 3.00000+ 1 5.51252- 4 1.16516- 2 1.90000+ 1 3.20000+ 1 1.37571- 4 1.17039- 2 1.90000+ 1 3.30000+ 1 1.93581- 4 1.17059- 2 2.10000+ 1 2.10000+ 1 1.89154- 4 1.15306- 2 2.10000+ 1 2.20000+ 1 3.26296- 3 1.15504- 2 2.10000+ 1 2.40000+ 1 5.20808- 5 1.17953- 2 2.10000+ 1 2.50000+ 1 1.68521- 4 1.17997- 2 2.10000+ 1 2.70000+ 1 1.47398- 5 1.17831- 2 2.10000+ 1 2.90000+ 1 1.27745- 5 1.18214- 2 2.10000+ 1 3.00000+ 1 2.24531- 4 1.18405- 2 2.10000+ 1 3.20000+ 1 3.53765- 5 1.18928- 2 2.10000+ 1 3.30000+ 1 2.85450- 4 1.18948- 2 2.20000+ 1 2.20000+ 1 2.31891- 3 1.15702- 2 2.20000+ 1 2.40000+ 1 5.53392- 4 1.18151- 2 2.20000+ 1 2.50000+ 1 4.95990- 4 1.18194- 2 2.20000+ 1 2.70000+ 1 2.26594- 5 1.18028- 2 2.20000+ 1 2.90000+ 1 9.21476- 5 1.18412- 2 2.20000+ 1 3.00000+ 1 3.51467- 4 1.18603- 2 2.20000+ 1 3.20000+ 1 3.17230- 4 1.19126- 2 2.20000+ 1 3.30000+ 1 4.12894- 4 1.19146- 2 2.40000+ 1 2.40000+ 1 2.28458- 6 1.20600- 2 2.40000+ 1 2.50000+ 1 6.91091- 5 1.20644- 2 2.40000+ 1 2.70000+ 1 6.28259- 6 1.20478- 2 2.40000+ 1 2.90000+ 1 5.71155- 6 1.20862- 2 2.40000+ 1 3.00000+ 1 1.77061- 5 1.21052- 2 2.40000+ 1 3.20000+ 1 5.14041- 6 1.21575- 2 2.40000+ 1 3.30000+ 1 5.25452- 5 1.21595- 2 2.50000+ 1 2.50000+ 1 2.11732- 5 1.20687- 2 2.50000+ 1 2.70000+ 1 1.08325- 5 1.20521- 2 2.50000+ 1 2.90000+ 1 1.23092- 5 1.20905- 2 2.50000+ 1 3.00000+ 1 2.01874- 5 1.21096- 2 2.50000+ 1 3.20000+ 1 1.47716- 5 1.21619- 2 2.50000+ 1 3.30000+ 1 4.03757- 5 1.21639- 2 2.70000+ 1 2.70000+ 1 1.36930- 6 1.20355- 2 2.70000+ 1 2.90000+ 1 6.84677- 7 1.20739- 2 2.70000+ 1 3.00000+ 1 3.76572- 5 1.20930- 2 2.70000+ 1 3.20000+ 1 2.05399- 6 1.21453- 2 2.70000+ 1 3.30000+ 1 2.73866- 6 1.21473- 2 2.90000+ 1 3.00000+ 1 5.83990- 5 1.21314- 2 2.90000+ 1 3.20000+ 1 2.33593- 6 1.21837- 2 2.90000+ 1 3.30000+ 1 1.24579- 5 1.21857- 2 3.00000+ 1 3.00000+ 1 7.79906- 5 1.21504- 2 3.00000+ 1 3.20000+ 1 3.68984- 5 1.22027- 2 3.00000+ 1 3.30000+ 1 5.36705- 5 1.22047- 2 3.20000+ 1 3.20000+ 1 1.45869- 6 1.22550- 2 3.20000+ 1 3.30000+ 1 2.67432- 5 1.22571- 2 3.30000+ 1 3.30000+ 1 1.81789- 5 1.22591- 2 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.02595- 5 2.62900- 4 1.10000+ 1 4.20289- 4 6.99900- 4 1.80000+ 1 1.42626- 3 2.86363- 3 1.90000+ 1 1.16024- 3 2.96967- 3 2.90000+ 1 3.11010- 4 3.44946- 3 3.00000+ 1 2.65567- 4 3.46850- 3 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 3.18141- 2 1.49400- 4 1.00000+ 1 2.50000+ 1 4.28563- 2 1.53770- 4 1.00000+ 1 2.70000+ 1 1.13045- 2 1.37170- 4 1.00000+ 1 2.90000+ 1 1.07699- 2 1.75560- 4 1.00000+ 1 3.00000+ 1 1.42360- 2 1.94600- 4 1.00000+ 1 3.20000+ 1 5.48485- 3 2.46920- 4 1.00000+ 1 3.30000+ 1 7.15039- 3 2.48940- 4 1.00000+ 1 4.10000+ 1 9.46191- 4 2.53350- 4 1.10000+ 1 1.80000+ 1 5.90589- 2 2.67300- 5 1.10000+ 1 1.90000+ 1 6.18704- 2 1.32770- 4 1.10000+ 1 2.10000+ 1 2.01795- 2 3.21690- 4 1.10000+ 1 2.20000+ 1 3.32194- 2 3.41480- 4 1.10000+ 1 2.40000+ 1 1.71838- 1 5.86400- 4 1.10000+ 1 2.50000+ 1 2.13033- 1 5.90770- 4 1.10000+ 1 2.70000+ 1 1.04771- 2 5.74170- 4 1.10000+ 1 2.90000+ 1 9.82637- 3 6.12560- 4 1.10000+ 1 3.00000+ 1 1.03590- 2 6.31600- 4 1.10000+ 1 3.20000+ 1 1.85455- 3 6.83920- 4 1.10000+ 1 3.30000+ 1 3.02313- 3 6.85940- 4 1.10000+ 1 4.10000+ 1 9.03691- 4 6.90350- 4 1.30000+ 1 1.60000+ 1 2.55651- 2 3.54560- 4 1.30000+ 1 1.80000+ 1 5.59168- 3 4.68830- 4 1.30000+ 1 1.90000+ 1 6.71711- 3 5.74870- 4 1.30000+ 1 2.10000+ 1 8.75981- 3 7.63790- 4 1.30000+ 1 2.20000+ 1 1.08437- 2 7.83580- 4 1.30000+ 1 2.40000+ 1 8.81348- 3 1.02850- 3 1.30000+ 1 2.50000+ 1 8.13248- 3 1.03287- 3 1.30000+ 1 2.70000+ 1 3.37476- 3 1.01627- 3 1.30000+ 1 2.90000+ 1 7.83173- 4 1.05466- 3 1.30000+ 1 3.00000+ 1 8.78098- 4 1.07370- 3 1.30000+ 1 3.20000+ 1 7.05299- 4 1.12602- 3 1.30000+ 1 3.30000+ 1 8.93854- 4 1.12804- 3 1.30000+ 1 4.10000+ 1 2.73347- 4 1.13245- 3 1.40000+ 1 1.60000+ 1 3.56939- 2 4.48560- 4 1.40000+ 1 1.80000+ 1 9.66684- 4 5.62830- 4 1.40000+ 1 1.90000+ 1 1.10408- 2 6.68870- 4 1.40000+ 1 2.10000+ 1 1.21130- 2 8.57790- 4 1.40000+ 1 2.20000+ 1 1.72978- 2 8.77580- 4 1.40000+ 1 2.40000+ 1 1.00205- 2 1.12250- 3 1.40000+ 1 2.50000+ 1 1.56091- 2 1.12687- 3 1.40000+ 1 2.70000+ 1 4.66626- 3 1.11027- 3 1.40000+ 1 2.90000+ 1 1.60432- 4 1.14866- 3 1.40000+ 1 3.00000+ 1 1.43127- 3 1.16770- 3 1.40000+ 1 3.20000+ 1 1.05794- 3 1.22002- 3 1.40000+ 1 3.30000+ 1 1.37761- 3 1.22204- 3 1.40000+ 1 4.10000+ 1 3.77816- 4 1.22645- 3 1.60000+ 1 1.60000+ 1 2.57267- 3 1.96192- 3 1.60000+ 1 1.80000+ 1 4.47270- 3 2.07619- 3 1.60000+ 1 1.90000+ 1 7.42167- 3 2.18223- 3 1.60000+ 1 2.10000+ 1 8.56302- 3 2.37115- 3 1.60000+ 1 2.20000+ 1 1.20696- 2 2.39094- 3 1.60000+ 1 2.40000+ 1 5.93988- 3 2.63586- 3 1.60000+ 1 2.50000+ 1 7.45955- 3 2.64023- 3 1.60000+ 1 2.70000+ 1 8.62172- 4 2.62363- 3 1.60000+ 1 2.90000+ 1 8.01697- 4 2.66202- 3 1.60000+ 1 3.00000+ 1 1.27217- 3 2.68106- 3 1.60000+ 1 3.20000+ 1 8.17104- 4 2.73338- 3 1.60000+ 1 3.30000+ 1 1.09432- 3 2.73540- 3 1.60000+ 1 4.10000+ 1 7.31131- 5 2.73981- 3 1.80000+ 1 1.80000+ 1 1.90543- 4 2.19046- 3 1.80000+ 1 1.90000+ 1 5.44152- 4 2.29650- 3 1.80000+ 1 2.10000+ 1 2.86380- 4 2.48542- 3 1.80000+ 1 2.20000+ 1 1.61533- 4 2.50521- 3 1.80000+ 1 2.40000+ 1 4.37933- 5 2.75013- 3 1.80000+ 1 2.50000+ 1 4.49461- 4 2.75450- 3 1.80000+ 1 2.70000+ 1 5.69884- 4 2.73790- 3 1.80000+ 1 2.90000+ 1 5.14756- 5 2.77629- 3 1.80000+ 1 3.00000+ 1 6.93386- 5 2.79533- 3 1.80000+ 1 3.20000+ 1 2.40088- 5 2.84765- 3 1.80000+ 1 3.30000+ 1 1.74792- 5 2.84967- 3 1.80000+ 1 4.10000+ 1 4.60987- 5 2.85408- 3 1.90000+ 1 1.90000+ 1 6.33641- 4 2.40254- 3 1.90000+ 1 2.10000+ 1 5.95611- 4 2.59146- 3 1.90000+ 1 2.20000+ 1 1.38129- 3 2.61125- 3 1.90000+ 1 2.40000+ 1 5.90041- 4 2.85617- 3 1.90000+ 1 2.50000+ 1 1.02491- 3 2.86054- 3 1.90000+ 1 2.70000+ 1 9.49809- 4 2.84394- 3 1.90000+ 1 2.90000+ 1 8.25937- 5 2.88233- 3 1.90000+ 1 3.00000+ 1 1.82849- 4 2.90137- 3 1.90000+ 1 3.20000+ 1 5.74290- 5 2.95369- 3 1.90000+ 1 3.30000+ 1 1.19848- 4 2.95571- 3 1.90000+ 1 4.10000+ 1 7.70171- 5 2.96012- 3 2.10000+ 1 2.10000+ 1 1.02293- 4 2.78038- 3 2.10000+ 1 2.20000+ 1 4.09564- 4 2.80017- 3 2.10000+ 1 2.40000+ 1 4.51705- 4 3.04509- 3 2.10000+ 1 2.50000+ 1 3.08741- 3 3.04946- 3 2.10000+ 1 2.70000+ 1 1.10364- 3 3.03286- 3 2.10000+ 1 2.90000+ 1 3.54164- 5 3.07125- 3 2.10000+ 1 3.00000+ 1 8.23121- 5 3.09029- 3 2.10000+ 1 3.20000+ 1 1.58296- 5 3.14261- 3 2.10000+ 1 3.30000+ 1 3.18557- 5 3.14463- 3 2.10000+ 1 4.10000+ 1 8.92332- 5 3.14904- 3 2.20000+ 1 2.20000+ 1 2.56626- 4 2.81996- 3 2.20000+ 1 2.40000+ 1 2.85457- 3 3.06488- 3 2.20000+ 1 2.50000+ 1 1.71166- 3 3.06925- 3 2.20000+ 1 2.70000+ 1 1.53457- 3 3.05265- 3 2.20000+ 1 2.90000+ 1 2.21182- 5 3.09104- 3 2.20000+ 1 3.00000+ 1 1.86741- 4 3.11008- 3 2.20000+ 1 3.20000+ 1 3.05366- 5 3.16240- 3 2.20000+ 1 3.30000+ 1 3.87567- 5 3.16442- 3 2.20000+ 1 4.10000+ 1 1.23904- 4 3.16883- 3 2.40000+ 1 2.40000+ 1 5.73147- 4 3.30980- 3 2.40000+ 1 2.50000+ 1 3.88286- 3 3.31417- 3 2.40000+ 1 2.70000+ 1 6.86077- 4 3.29757- 3 2.40000+ 1 2.90000+ 1 5.57009- 6 3.33596- 3 2.40000+ 1 3.00000+ 1 5.83900- 5 3.35500- 3 2.40000+ 1 3.20000+ 1 3.82223- 5 3.40732- 3 2.40000+ 1 3.30000+ 1 2.53152- 4 3.40934- 3 2.40000+ 1 4.10000+ 1 5.47401- 5 3.41375- 3 2.50000+ 1 2.50000+ 1 1.32976- 3 3.31854- 3 2.50000+ 1 2.70000+ 1 8.60662- 4 3.30194- 3 2.50000+ 1 2.90000+ 1 7.12567- 5 3.34033- 3 2.50000+ 1 3.00000+ 1 1.08518- 4 3.35937- 3 2.50000+ 1 3.20000+ 1 2.78110- 4 3.41169- 3 2.50000+ 1 3.30000+ 1 1.46551- 4 3.41371- 3 2.50000+ 1 4.10000+ 1 6.87608- 5 3.41812- 3 2.70000+ 1 2.70000+ 1 8.31841- 5 3.28534- 3 2.70000+ 1 2.90000+ 1 1.29000- 4 3.32373- 3 2.70000+ 1 3.00000+ 1 2.04464- 4 3.34277- 3 2.70000+ 1 3.20000+ 1 1.29000- 4 3.39509- 3 2.70000+ 1 3.30000+ 1 1.72162- 4 3.39711- 3 2.70000+ 1 4.10000+ 1 1.39845- 5 3.40152- 3 2.90000+ 1 2.90000+ 1 6.26879- 6 3.36212- 3 2.90000+ 1 3.00000+ 1 1.84585- 5 3.38116- 3 2.90000+ 1 3.20000+ 1 5.22401- 6 3.43348- 3 2.90000+ 1 3.30000+ 1 4.52744- 6 3.43550- 3 2.90000+ 1 4.10000+ 1 1.49762- 5 3.43991- 3 3.00000+ 1 3.00000+ 1 2.44828- 5 3.40020- 3 3.00000+ 1 3.20000+ 1 1.46162- 5 3.45252- 3 3.00000+ 1 3.30000+ 1 3.03307- 5 3.45454- 3 3.00000+ 1 4.10000+ 1 2.52135- 5 3.45895- 3 3.20000+ 1 3.20000+ 1 6.75659- 7 3.50484- 3 3.20000+ 1 3.30000+ 1 2.70266- 6 3.50686- 3 3.20000+ 1 4.10000+ 1 9.68487- 6 3.51127- 3 3.30000+ 1 3.30000+ 1 1.48061- 6 3.50888- 3 3.30000+ 1 4.10000+ 1 1.22675- 5 3.51329- 3 4.10000+ 1 4.10000+ 1 3.84136- 7 3.51770- 3 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 9.74879- 4 8.79100- 4 1.60000+ 1 7.18009- 4 2.48646- 3 2.10000+ 1 3.83120- 3 2.89569- 3 2.70000+ 1 1.53860- 4 3.14817- 3 3.20000+ 1 4.63519- 4 3.25792- 3 4.10000+ 1 1.44890- 5 3.26435- 3 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 6.22618- 3 5.87900- 5 1.10000+ 1 2.20000+ 1 1.53025- 2 7.85800- 5 1.10000+ 1 2.40000+ 1 2.82644- 2 3.23500- 4 1.10000+ 1 2.50000+ 1 2.62010- 2 3.27870- 4 1.10000+ 1 2.70000+ 1 3.10716- 3 3.11270- 4 1.10000+ 1 2.90000+ 1 3.85716- 3 3.49660- 4 1.10000+ 1 3.00000+ 1 2.56443- 3 3.68700- 4 1.10000+ 1 3.20000+ 1 7.22297- 4 4.21020- 4 1.10000+ 1 3.30000+ 1 1.52115- 3 4.23040- 4 1.10000+ 1 4.10000+ 1 2.54590- 4 4.27450- 4 1.30000+ 1 1.60000+ 1 4.92532- 2 9.16600- 5 1.30000+ 1 1.80000+ 1 5.04937- 2 2.05930- 4 1.30000+ 1 1.90000+ 1 4.83283- 2 3.11970- 4 1.30000+ 1 2.10000+ 1 1.90047- 2 5.00890- 4 1.30000+ 1 2.20000+ 1 2.34576- 2 5.20680- 4 1.30000+ 1 2.40000+ 1 1.40087- 1 7.65600- 4 1.30000+ 1 2.50000+ 1 2.15971- 1 7.69970- 4 1.30000+ 1 2.70000+ 1 1.00005- 2 7.53370- 4 1.30000+ 1 2.90000+ 1 7.65353- 3 7.91760- 4 1.30000+ 1 3.00000+ 1 7.97340- 3 8.10800- 4 1.30000+ 1 3.20000+ 1 1.86510- 3 8.63120- 4 1.30000+ 1 3.30000+ 1 2.31856- 3 8.65140- 4 1.30000+ 1 4.10000+ 1 8.52913- 4 8.69550- 4 1.40000+ 1 1.60000+ 1 7.95984- 3 1.85660- 4 1.40000+ 1 1.80000+ 1 5.70173- 2 2.99930- 4 1.40000+ 1 1.90000+ 1 4.97523- 3 4.05970- 4 1.40000+ 1 2.10000+ 1 1.02187- 3 5.94890- 4 1.40000+ 1 2.20000+ 1 2.76840- 3 6.14680- 4 1.40000+ 1 2.40000+ 1 5.66652- 3 8.59600- 4 1.40000+ 1 2.50000+ 1 3.92285- 3 8.63970- 4 1.40000+ 1 2.70000+ 1 1.07207- 3 8.47370- 4 1.40000+ 1 2.90000+ 1 6.80927- 3 8.85760- 4 1.40000+ 1 3.00000+ 1 7.32724- 4 9.04800- 4 1.40000+ 1 3.20000+ 1 5.33637- 5 9.57120- 4 1.40000+ 1 3.30000+ 1 2.33845- 4 9.59140- 4 1.40000+ 1 4.10000+ 1 8.75834- 5 9.63550- 4 1.60000+ 1 1.60000+ 1 7.67093- 4 1.69902- 3 1.60000+ 1 1.80000+ 1 1.11449- 2 1.81329- 3 1.60000+ 1 1.90000+ 1 1.55986- 3 1.91933- 3 1.60000+ 1 2.10000+ 1 3.74565- 4 2.10825- 3 1.60000+ 1 2.20000+ 1 1.30191- 3 2.12804- 3 1.60000+ 1 2.40000+ 1 4.52110- 5 2.37296- 3 1.60000+ 1 2.50000+ 1 9.16619- 4 2.37733- 3 1.60000+ 1 2.70000+ 1 2.41477- 4 2.36073- 3 1.60000+ 1 2.90000+ 1 1.29218- 3 2.39912- 3 1.60000+ 1 3.00000+ 1 2.41477- 4 2.41816- 3 1.60000+ 1 3.20000+ 1 2.67194- 5 2.47048- 3 1.60000+ 1 3.30000+ 1 1.08922- 4 2.47250- 3 1.60000+ 1 4.10000+ 1 2.00371- 5 2.47691- 3 1.80000+ 1 1.80000+ 1 8.55760- 3 1.92756- 3 1.80000+ 1 1.90000+ 1 2.41174- 2 2.03360- 3 1.80000+ 1 2.10000+ 1 2.39099- 2 2.22252- 3 1.80000+ 1 2.20000+ 1 3.81648- 2 2.24231- 3 1.80000+ 1 2.40000+ 1 1.36491- 2 2.48723- 3 1.80000+ 1 2.50000+ 1 2.29753- 2 2.49160- 3 1.80000+ 1 2.70000+ 1 2.25616- 3 2.47500- 3 1.80000+ 1 2.90000+ 1 2.56231- 3 2.51339- 3 1.80000+ 1 3.00000+ 1 4.09817- 3 2.53243- 3 1.80000+ 1 3.20000+ 1 2.28598- 3 2.58475- 3 1.80000+ 1 3.30000+ 1 3.42739- 3 2.58677- 3 1.80000+ 1 4.10000+ 1 1.95765- 4 2.59118- 3 1.90000+ 1 1.90000+ 1 6.53041- 4 2.13964- 3 1.90000+ 1 2.10000+ 1 1.63393- 3 2.32856- 3 1.90000+ 1 2.20000+ 1 1.41351- 3 2.34835- 3 1.90000+ 1 2.40000+ 1 9.41878- 3 2.59327- 3 1.90000+ 1 2.50000+ 1 2.60396- 3 2.59764- 3 1.90000+ 1 2.70000+ 1 2.05009- 4 2.58104- 3 1.90000+ 1 2.90000+ 1 2.85830- 3 2.61943- 3 1.90000+ 1 3.00000+ 1 1.88055- 4 2.63847- 3 1.90000+ 1 3.20000+ 1 1.26398- 4 2.69079- 3 1.90000+ 1 3.30000+ 1 1.13554- 4 2.69281- 3 1.90000+ 1 4.10000+ 1 1.64417- 5 2.69722- 3 2.10000+ 1 2.10000+ 1 8.25167- 4 2.51748- 3 2.10000+ 1 2.20000+ 1 2.05120- 3 2.53727- 3 2.10000+ 1 2.40000+ 1 1.04148- 3 2.78219- 3 2.10000+ 1 2.50000+ 1 1.82708- 3 2.78656- 3 2.10000+ 1 2.70000+ 1 7.14206- 5 2.76996- 3 2.10000+ 1 2.90000+ 1 2.76064- 3 2.80835- 3 2.10000+ 1 3.00000+ 1 2.48702- 4 2.82739- 3 2.10000+ 1 3.20000+ 1 1.31532- 4 2.87971- 3 2.10000+ 1 3.30000+ 1 1.71100- 4 2.88173- 3 2.10000+ 1 4.10000+ 1 6.16568- 6 2.88614- 3 2.20000+ 1 2.20000+ 1 5.13829- 4 2.55706- 3 2.20000+ 1 2.40000+ 1 3.02353- 3 2.80198- 3 2.20000+ 1 2.50000+ 1 6.85401- 4 2.80635- 3 2.20000+ 1 2.70000+ 1 2.10653- 4 2.78975- 3 2.20000+ 1 2.90000+ 1 4.46756- 3 2.82814- 3 2.20000+ 1 3.00000+ 1 1.87541- 4 2.84718- 3 2.20000+ 1 3.20000+ 1 1.65961- 4 2.89950- 3 2.20000+ 1 3.30000+ 1 7.96411- 5 2.90152- 3 2.20000+ 1 4.10000+ 1 1.74692- 5 2.90593- 3 2.40000+ 1 2.40000+ 1 3.28932- 3 3.04690- 3 2.40000+ 1 2.50000+ 1 2.11538- 2 3.05127- 3 2.40000+ 1 2.70000+ 1 4.62447- 6 3.03467- 3 2.40000+ 1 2.90000+ 1 1.45715- 3 3.07306- 3 2.40000+ 1 3.00000+ 1 1.50492- 3 3.09210- 3 2.40000+ 1 3.20000+ 1 1.09954- 4 3.14442- 3 2.40000+ 1 3.30000+ 1 3.04694- 4 3.14644- 3 2.40000+ 1 4.10000+ 1 5.13827- 7 3.15085- 3 2.50000+ 1 2.50000+ 1 1.10775- 3 3.05564- 3 2.50000+ 1 2.70000+ 1 1.54655- 4 3.03904- 3 2.50000+ 1 2.90000+ 1 2.41698- 3 3.07743- 3 2.50000+ 1 3.00000+ 1 3.73018- 4 3.09647- 3 2.50000+ 1 3.20000+ 1 1.79318- 4 3.14879- 3 2.50000+ 1 3.30000+ 1 6.42250- 5 3.15081- 3 2.50000+ 1 4.10000+ 1 1.28453- 5 3.15522- 3 2.70000+ 1 2.70000+ 1 2.15035- 5 3.02244- 3 2.70000+ 1 2.90000+ 1 2.97544- 4 3.06083- 3 2.70000+ 1 3.00000+ 1 3.60329- 5 3.07987- 3 2.70000+ 1 3.20000+ 1 5.23085- 6 3.13219- 3 2.70000+ 1 3.30000+ 1 2.03411- 5 3.13421- 3 2.70000+ 1 4.10000+ 1 3.48707- 6 3.13862- 3 2.90000+ 1 2.90000+ 1 2.13933- 4 3.09922- 3 2.90000+ 1 3.00000+ 1 5.76333- 4 3.11826- 3 2.90000+ 1 3.20000+ 1 3.12725- 4 3.17058- 3 2.90000+ 1 3.30000+ 1 4.75741- 4 3.17260- 3 2.90000+ 1 4.10000+ 1 2.66664- 5 3.17701- 3 3.00000+ 1 3.00000+ 1 3.28532- 5 3.13730- 3 3.00000+ 1 3.20000+ 1 4.80154- 5 3.18962- 3 3.00000+ 1 3.30000+ 1 3.66439- 5 3.19164- 3 3.00000+ 1 4.10000+ 1 6.31728- 6 3.19605- 3 3.20000+ 1 3.20000+ 1 6.25380- 6 3.24194- 3 3.20000+ 1 3.30000+ 1 1.75098- 5 3.24396- 3 3.20000+ 1 4.10000+ 1 6.25380- 7 3.24837- 3 3.30000+ 1 3.30000+ 1 9.09801- 6 3.24598- 3 3.30000+ 1 4.10000+ 1 4.54897- 6 3.25039- 3 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.53331- 5 4.42100- 4 1.40000+ 1 2.60042- 4 5.36100- 4 1.60000+ 1 1.29521- 3 2.04946- 3 2.10000+ 1 6.32726- 4 2.45869- 3 2.20000+ 1 4.90364- 3 2.47848- 3 2.70000+ 1 2.65282- 4 2.71117- 3 3.20000+ 1 7.09166- 5 2.82092- 3 3.30000+ 1 5.42275- 4 2.82294- 3 4.10000+ 1 2.52632- 5 2.82735- 3 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.10000+ 1 1.14684- 2 6.38900- 5 1.30000+ 1 2.20000+ 1 1.15481- 2 8.36800- 5 1.30000+ 1 2.40000+ 1 1.74811- 2 3.28600- 4 1.30000+ 1 2.50000+ 1 2.54919- 2 3.32970- 4 1.30000+ 1 2.70000+ 1 2.72598- 3 3.16370- 4 1.30000+ 1 2.90000+ 1 2.27267- 3 3.54760- 4 1.30000+ 1 3.00000+ 1 7.51130- 3 3.73800- 4 1.30000+ 1 3.20000+ 1 9.31818- 4 4.26120- 4 1.30000+ 1 3.30000+ 1 9.28839- 4 4.28140- 4 1.30000+ 1 4.10000+ 1 2.28564- 4 4.32550- 4 1.40000+ 1 2.10000+ 1 5.07799- 2 1.57890- 4 1.40000+ 1 2.20000+ 1 6.93731- 2 1.77680- 4 1.40000+ 1 2.40000+ 1 1.86800- 1 4.22600- 4 1.40000+ 1 2.50000+ 1 2.25312- 1 4.26970- 4 1.40000+ 1 2.70000+ 1 1.61974- 2 4.10370- 4 1.40000+ 1 2.90000+ 1 1.53521- 2 4.48760- 4 1.40000+ 1 3.00000+ 1 1.90302- 2 4.67800- 4 1.40000+ 1 3.20000+ 1 4.12958- 3 5.20120- 4 1.40000+ 1 3.30000+ 1 5.71276- 3 5.22140- 4 1.40000+ 1 4.10000+ 1 1.37814- 3 5.26550- 4 1.60000+ 1 1.60000+ 1 3.90072- 4 1.26202- 3 1.60000+ 1 1.80000+ 1 7.42679- 4 1.37629- 3 1.60000+ 1 1.90000+ 1 1.34473- 2 1.48233- 3 1.60000+ 1 2.10000+ 1 7.95367- 4 1.67125- 3 1.60000+ 1 2.20000+ 1 9.40450- 4 1.69104- 3 1.60000+ 1 2.40000+ 1 1.64344- 3 1.93596- 3 1.60000+ 1 2.50000+ 1 2.83528- 3 1.94033- 3 1.60000+ 1 2.70000+ 1 1.22784- 4 1.92373- 3 1.60000+ 1 2.90000+ 1 9.83327- 5 1.96212- 3 1.60000+ 1 3.00000+ 1 1.52284- 3 1.98116- 3 1.60000+ 1 3.20000+ 1 6.79089- 5 2.03348- 3 1.60000+ 1 3.30000+ 1 7.44314- 5 2.03550- 3 1.60000+ 1 4.10000+ 1 1.03224- 5 2.03991- 3 1.80000+ 1 1.80000+ 1 3.96623- 5 1.49056- 3 1.80000+ 1 1.90000+ 1 1.65032- 2 1.59660- 3 1.80000+ 1 2.10000+ 1 3.59639- 4 1.78552- 3 1.80000+ 1 2.20000+ 1 3.41146- 3 1.80531- 3 1.80000+ 1 2.40000+ 1 1.64405- 3 2.05023- 3 1.80000+ 1 2.50000+ 1 9.07021- 3 2.05460- 3 1.80000+ 1 2.70000+ 1 1.06487- 4 2.03800- 3 1.80000+ 1 2.90000+ 1 9.77939- 6 2.07639- 3 1.80000+ 1 3.00000+ 1 1.90317- 3 2.09543- 3 1.80000+ 1 3.20000+ 1 3.20555- 5 2.14775- 3 1.80000+ 1 3.30000+ 1 2.55898- 4 2.14977- 3 1.80000+ 1 4.10000+ 1 8.69269- 6 2.15418- 3 1.90000+ 1 1.90000+ 1 2.19101- 2 1.70264- 3 1.90000+ 1 2.10000+ 1 3.17834- 2 1.89156- 3 1.90000+ 1 2.20000+ 1 4.16465- 2 1.91135- 3 1.90000+ 1 2.40000+ 1 2.64604- 2 2.15627- 3 1.90000+ 1 2.50000+ 1 3.02937- 2 2.16064- 3 1.90000+ 1 2.70000+ 1 2.67086- 3 2.14404- 3 1.90000+ 1 2.90000+ 1 2.89029- 3 2.18243- 3 1.90000+ 1 3.00000+ 1 6.21938- 3 2.20147- 3 1.90000+ 1 3.20000+ 1 2.94983- 3 2.25379- 3 1.90000+ 1 3.30000+ 1 3.70622- 3 2.25581- 3 1.90000+ 1 4.10000+ 1 2.30890- 4 2.26022- 3 2.10000+ 1 2.10000+ 1 2.08085- 4 2.08048- 3 2.10000+ 1 2.20000+ 1 4.91632- 3 2.10027- 3 2.10000+ 1 2.40000+ 1 7.01920- 4 2.34519- 3 2.10000+ 1 2.50000+ 1 8.29055- 3 2.34956- 3 2.10000+ 1 2.70000+ 1 9.39902- 5 2.33296- 3 2.10000+ 1 2.90000+ 1 2.66206- 5 2.37135- 3 2.10000+ 1 3.00000+ 1 3.60841- 3 2.39039- 3 2.10000+ 1 3.20000+ 1 3.20547- 5 2.44271- 3 2.10000+ 1 3.30000+ 1 3.90616- 4 2.44473- 3 2.10000+ 1 4.10000+ 1 7.60603- 6 2.44914- 3 2.20000+ 1 2.20000+ 1 2.18592- 3 2.12006- 3 2.20000+ 1 2.40000+ 1 6.73706- 3 2.36498- 3 2.20000+ 1 2.50000+ 1 5.65864- 3 2.36935- 3 2.20000+ 1 2.70000+ 1 1.14095- 4 2.35275- 3 2.20000+ 1 2.90000+ 1 3.24357- 4 2.39114- 3 2.20000+ 1 3.00000+ 1 4.67186- 3 2.41018- 3 2.20000+ 1 3.20000+ 1 4.05289- 4 2.46250- 3 2.20000+ 1 3.30000+ 1 3.47736- 4 2.46452- 3 2.20000+ 1 4.10000+ 1 9.23632- 6 2.46893- 3 2.40000+ 1 2.40000+ 1 1.01596- 3 2.60990- 3 2.40000+ 1 2.50000+ 1 2.69136- 2 2.61427- 3 2.40000+ 1 2.70000+ 1 1.77114- 4 2.59767- 3 2.40000+ 1 2.90000+ 1 2.40672- 4 2.63606- 3 2.40000+ 1 3.00000+ 1 2.86760- 3 2.65510- 3 2.40000+ 1 3.20000+ 1 7.49753- 5 2.70742- 3 2.40000+ 1 3.30000+ 1 5.68290- 4 2.70944- 3 2.40000+ 1 4.10000+ 1 1.41256- 5 2.71385- 3 2.50000+ 1 2.50000+ 1 1.06127- 2 2.61864- 3 2.50000+ 1 2.70000+ 1 2.60782- 4 2.60204- 3 2.50000+ 1 2.90000+ 1 1.31914- 3 2.64043- 3 2.50000+ 1 3.00000+ 1 3.40259- 3 2.65947- 3 2.50000+ 1 3.20000+ 1 7.63871- 4 2.71179- 3 2.50000+ 1 3.30000+ 1 5.13951- 4 2.71381- 3 2.50000+ 1 4.10000+ 1 2.01028- 5 2.71822- 3 2.70000+ 1 2.70000+ 1 1.35920- 5 2.58544- 3 2.70000+ 1 2.90000+ 1 1.93151- 5 2.62383- 3 2.70000+ 1 3.00000+ 1 3.99194- 4 2.64287- 3 2.70000+ 1 3.20000+ 1 1.14458- 5 2.69519- 3 2.70000+ 1 3.30000+ 1 1.21614- 5 2.69721- 3 2.70000+ 1 4.10000+ 1 2.14610- 6 2.70162- 3 2.90000+ 1 2.90000+ 1 7.10972- 7 2.66222- 3 2.90000+ 1 3.00000+ 1 4.38662- 4 2.68126- 3 2.90000+ 1 3.20000+ 1 2.84383- 6 2.73358- 3 2.90000+ 1 3.30000+ 1 3.34155- 5 2.73560- 3 2.90000+ 1 4.10000+ 1 1.42191- 6 2.74001- 3 3.00000+ 1 3.00000+ 1 7.22039- 4 2.70030- 3 3.00000+ 1 3.20000+ 1 5.73741- 4 2.75262- 3 3.00000+ 1 3.30000+ 1 7.11848- 4 2.75464- 3 3.00000+ 1 4.10000+ 1 4.44902- 5 2.75905- 3 3.20000+ 1 3.20000+ 1 1.14603- 6 2.80494- 3 3.20000+ 1 3.30000+ 1 3.61003- 5 2.80696- 3 3.20000+ 1 4.10000+ 1 5.73026- 7 2.81137- 3 3.30000+ 1 3.30000+ 1 1.67692- 5 2.80898- 3 3.30000+ 1 4.10000+ 1 6.44975- 7 2.81339- 3 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.03380- 3 1.72163- 3 1.90000+ 1 2.02720- 4 1.82767- 3 2.40000+ 1 2.91480- 2 2.28130- 3 2.90000+ 1 4.97890- 4 2.30746- 3 3.00000+ 1 5.11050- 5 2.32650- 3 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.90000+ 1 2.01130- 3 6.66000- 6 1.40000+ 1 3.00000+ 1 7.11173- 3 2.57000- 5 1.40000+ 1 3.20000+ 1 4.00675- 2 7.80200- 5 1.40000+ 1 3.30000+ 1 5.43488- 3 8.00400- 5 1.40000+ 1 4.10000+ 1 5.36650- 4 8.44500- 5 1.60000+ 1 1.60000+ 1 2.94227- 5 8.19920- 4 1.60000+ 1 1.80000+ 1 1.29693- 3 9.34190- 4 1.60000+ 1 1.90000+ 1 9.74455- 4 1.04023- 3 1.60000+ 1 2.10000+ 1 3.64398- 2 1.22915- 3 1.60000+ 1 2.20000+ 1 4.22037- 3 1.24894- 3 1.60000+ 1 2.40000+ 1 1.55681- 2 1.49386- 3 1.60000+ 1 2.50000+ 1 4.36143- 3 1.49823- 3 1.60000+ 1 2.70000+ 1 2.11836- 5 1.48163- 3 1.60000+ 1 2.90000+ 1 1.83595- 4 1.52002- 3 1.60000+ 1 3.00000+ 1 1.11800- 4 1.53906- 3 1.60000+ 1 3.20000+ 1 2.48442- 3 1.59138- 3 1.60000+ 1 3.30000+ 1 2.87159- 4 1.59340- 3 1.60000+ 1 4.10000+ 1 2.35372- 6 1.59781- 3 1.80000+ 1 1.80000+ 1 7.62662- 4 1.04846- 3 1.80000+ 1 1.90000+ 1 4.92206- 3 1.15450- 3 1.80000+ 1 2.10000+ 1 3.24996- 2 1.34342- 3 1.80000+ 1 2.20000+ 1 2.33731- 3 1.36321- 3 1.80000+ 1 2.40000+ 1 1.00775- 2 1.60813- 3 1.80000+ 1 2.50000+ 1 5.03231- 3 1.61250- 3 1.80000+ 1 2.70000+ 1 1.70658- 4 1.59590- 3 1.80000+ 1 2.90000+ 1 2.15379- 4 1.63429- 3 1.80000+ 1 3.00000+ 1 6.27275- 4 1.65333- 3 1.80000+ 1 3.20000+ 1 2.20084- 3 1.70565- 3 1.80000+ 1 3.30000+ 1 1.81245- 4 1.70767- 3 1.80000+ 1 4.10000+ 1 1.41229- 5 1.71208- 3 1.90000+ 1 1.90000+ 1 1.74762- 3 1.26054- 3 1.90000+ 1 2.10000+ 1 6.56633- 2 1.44946- 3 1.90000+ 1 2.20000+ 1 2.48792- 3 1.46925- 3 1.90000+ 1 2.40000+ 1 3.57062- 3 1.71417- 3 1.90000+ 1 2.50000+ 1 2.23371- 3 1.71854- 3 1.90000+ 1 2.70000+ 1 1.49461- 4 1.70194- 3 1.90000+ 1 2.90000+ 1 5.67284- 4 1.74033- 3 1.90000+ 1 3.00000+ 1 4.26035- 4 1.75937- 3 1.90000+ 1 3.20000+ 1 4.48984- 3 1.81169- 3 1.90000+ 1 3.30000+ 1 1.75361- 4 1.81371- 3 1.90000+ 1 4.10000+ 1 1.29454- 5 1.81812- 3 2.10000+ 1 2.10000+ 1 5.86177- 2 1.63838- 3 2.10000+ 1 2.20000+ 1 1.16595- 1 1.65817- 3 2.10000+ 1 2.40000+ 1 6.06344- 2 1.90309- 3 2.10000+ 1 2.50000+ 1 7.36826- 2 1.90746- 3 2.10000+ 1 2.70000+ 1 6.68709- 3 1.89086- 3 2.10000+ 1 2.90000+ 1 5.74065- 3 1.92925- 3 2.10000+ 1 3.00000+ 1 1.08710- 2 1.94829- 3 2.10000+ 1 3.20000+ 1 9.51176- 3 2.00061- 3 2.10000+ 1 3.30000+ 1 1.02569- 2 2.00263- 3 2.10000+ 1 4.10000+ 1 5.73158- 4 2.00704- 3 2.20000+ 1 2.20000+ 1 1.87126- 3 1.67796- 3 2.20000+ 1 2.40000+ 1 6.76409- 2 1.92288- 3 2.20000+ 1 2.50000+ 1 3.44595- 3 1.92725- 3 2.20000+ 1 2.70000+ 1 4.23689- 4 1.91065- 3 2.20000+ 1 2.90000+ 1 2.62451- 4 1.94904- 3 2.20000+ 1 3.00000+ 1 3.35414- 4 1.96808- 3 2.20000+ 1 3.20000+ 1 8.01709- 3 2.02040- 3 2.20000+ 1 3.30000+ 1 2.75390- 4 2.02242- 3 2.20000+ 1 4.10000+ 1 3.29531- 5 2.02683- 3 2.40000+ 1 2.40000+ 1 6.21571- 2 2.16780- 3 2.40000+ 1 2.50000+ 1 1.80061- 1 2.17217- 3 2.40000+ 1 2.70000+ 1 2.98822- 3 2.15557- 3 2.40000+ 1 2.90000+ 1 1.47113- 3 2.19396- 3 2.40000+ 1 3.00000+ 1 6.01423- 4 2.21300- 3 2.40000+ 1 3.20000+ 1 4.45109- 3 2.26532- 3 2.40000+ 1 3.30000+ 1 5.69631- 3 2.26734- 3 2.40000+ 1 4.10000+ 1 2.54221- 4 2.27175- 3 2.50000+ 1 2.50000+ 1 3.40492- 3 2.17654- 3 2.50000+ 1 2.70000+ 1 5.41194- 4 2.15994- 3 2.50000+ 1 2.90000+ 1 3.61134- 4 2.19833- 3 2.50000+ 1 3.00000+ 1 3.02896- 4 2.21737- 3 2.50000+ 1 3.20000+ 1 4.22682- 3 2.26969- 3 2.50000+ 1 3.30000+ 1 2.46766- 4 2.27171- 3 2.50000+ 1 4.10000+ 1 4.44776- 5 2.27612- 3 2.70000+ 1 2.70000+ 1 2.87402- 6 2.14334- 3 2.70000+ 1 2.90000+ 1 3.16141- 5 2.18173- 3 2.70000+ 1 3.00000+ 1 2.15548- 5 2.20077- 3 2.70000+ 1 3.20000+ 1 5.60428- 4 2.25309- 3 2.70000+ 1 3.30000+ 1 3.87994- 5 2.25511- 3 2.90000+ 1 2.90000+ 1 2.73464- 5 2.22012- 3 2.90000+ 1 3.00000+ 1 1.26967- 4 2.23916- 3 2.90000+ 1 3.20000+ 1 6.48518- 4 2.29148- 3 2.90000+ 1 3.30000+ 1 3.71132- 5 2.29350- 3 2.90000+ 1 4.10000+ 1 3.90655- 6 2.29791- 3 3.00000+ 1 3.00000+ 1 5.00210- 5 2.25820- 3 3.00000+ 1 3.20000+ 1 1.38103- 3 2.31052- 3 3.00000+ 1 3.30000+ 1 4.56717- 5 2.31254- 3 3.00000+ 1 4.10000+ 1 2.17470- 6 2.31695- 3 3.20000+ 1 3.20000+ 1 3.62567- 4 2.36284- 3 3.20000+ 1 3.30000+ 1 6.84227- 4 2.36486- 3 3.20000+ 1 4.10000+ 1 3.75073- 5 2.36927- 3 3.30000+ 1 3.30000+ 1 1.00262- 5 2.36688- 3 3.30000+ 1 4.10000+ 1 2.22783- 6 2.37129- 3 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.58750- 3 1.73367- 3 2.40000+ 1 1.44520- 3 2.18730- 3 2.50000+ 1 2.82240- 2 2.19167- 3 3.00000+ 1 3.99810- 4 2.23250- 3 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.18677- 6 7.25920- 4 1.60000+ 1 1.80000+ 1 2.76530- 4 8.40190- 4 1.60000+ 1 1.90000+ 1 2.22643- 3 9.46230- 4 1.60000+ 1 2.10000+ 1 3.61619- 3 1.13515- 3 1.60000+ 1 2.20000+ 1 3.96332- 2 1.15494- 3 1.60000+ 1 2.40000+ 1 4.49115- 3 1.39986- 3 1.60000+ 1 2.50000+ 1 1.65304- 2 1.40423- 3 1.60000+ 1 2.70000+ 1 1.18677- 5 1.38763- 3 1.60000+ 1 2.90000+ 1 1.66150- 5 1.42602- 3 1.60000+ 1 3.00000+ 1 2.64665- 4 1.44506- 3 1.60000+ 1 3.20000+ 1 2.42107- 4 1.49738- 3 1.60000+ 1 3.30000+ 1 2.58249- 3 1.49940- 3 1.60000+ 1 4.10000+ 1 1.18677- 6 1.50381- 3 1.80000+ 1 1.80000+ 1 1.18677- 6 9.54460- 4 1.80000+ 1 1.90000+ 1 5.93387- 3 1.06050- 3 1.80000+ 1 2.10000+ 1 3.00264- 4 1.24942- 3 1.80000+ 1 2.20000+ 1 4.08458- 2 1.26921- 3 1.80000+ 1 2.40000+ 1 2.23718- 3 1.51413- 3 1.80000+ 1 2.50000+ 1 8.75020- 3 1.51850- 3 1.80000+ 1 2.70000+ 1 3.44176- 5 1.50190- 3 1.80000+ 1 2.90000+ 1 2.37365- 6 1.54029- 3 1.80000+ 1 3.00000+ 1 7.02605- 4 1.55933- 3 1.80000+ 1 3.20000+ 1 8.30740- 6 1.61165- 3 1.80000+ 1 3.30000+ 1 2.66436- 3 1.61367- 3 1.80000+ 1 4.10000+ 1 2.37365- 6 1.61808- 3 1.90000+ 1 1.90000+ 1 4.10992- 3 1.16654- 3 1.90000+ 1 2.10000+ 1 3.79185- 3 1.35546- 3 1.90000+ 1 2.20000+ 1 6.18597- 2 1.37525- 3 1.90000+ 1 2.40000+ 1 2.48045- 3 1.62017- 3 1.90000+ 1 2.50000+ 1 4.89795- 3 1.62454- 3 1.90000+ 1 2.70000+ 1 3.52489- 4 1.60794- 3 1.90000+ 1 2.90000+ 1 6.59863- 4 1.64633- 3 1.90000+ 1 3.00000+ 1 1.00396- 3 1.66537- 3 1.90000+ 1 3.20000+ 1 3.07383- 4 1.71769- 3 1.90000+ 1 3.30000+ 1 4.01971- 3 1.71971- 3 1.90000+ 1 4.10000+ 1 2.96701- 5 1.72412- 3 2.10000+ 1 2.10000+ 1 8.22485- 4 1.54438- 3 2.10000+ 1 2.20000+ 1 8.50445- 2 1.56417- 3 2.10000+ 1 2.40000+ 1 3.02519- 3 1.80909- 3 2.10000+ 1 2.50000+ 1 4.14237- 2 1.81346- 3 2.10000+ 1 2.70000+ 1 3.46551- 4 1.79686- 3 2.10000+ 1 2.90000+ 1 5.93401- 5 1.83525- 3 2.10000+ 1 3.00000+ 1 4.64039- 4 1.85429- 3 2.10000+ 1 3.20000+ 1 1.23434- 4 1.90661- 3 2.10000+ 1 3.30000+ 1 5.59345- 3 1.90863- 3 2.10000+ 1 4.10000+ 1 2.72978- 5 1.91304- 3 2.20000+ 1 2.20000+ 1 9.52470- 2 1.58396- 3 2.20000+ 1 2.40000+ 1 6.63654- 2 1.82888- 3 2.20000+ 1 2.50000+ 1 1.05061- 1 1.83325- 3 2.20000+ 1 2.70000+ 1 6.99381- 3 1.81665- 3 2.20000+ 1 2.90000+ 1 6.90479- 3 1.85504- 3 2.20000+ 1 3.00000+ 1 1.03201- 2 1.87408- 3 2.20000+ 1 3.20000+ 1 7.79844- 3 1.92640- 3 2.20000+ 1 3.30000+ 1 1.46407- 2 1.92842- 3 2.20000+ 1 4.10000+ 1 5.98141- 4 1.93283- 3 2.40000+ 1 2.40000+ 1 5.03566- 3 2.07380- 3 2.40000+ 1 2.50000+ 1 1.60914- 1 2.07817- 3 2.40000+ 1 2.70000+ 1 6.66944- 4 2.06157- 3 2.40000+ 1 2.90000+ 1 3.51286- 4 2.09996- 3 2.40000+ 1 3.00000+ 1 3.40603- 4 2.11900- 3 2.40000+ 1 3.20000+ 1 2.69391- 4 2.17132- 3 2.40000+ 1 3.30000+ 1 4.14659- 3 2.17334- 3 2.40000+ 1 4.10000+ 1 5.57780- 5 2.17775- 3 2.50000+ 1 2.50000+ 1 1.10076- 1 2.08254- 3 2.50000+ 1 2.70000+ 1 3.09648- 3 2.06594- 3 2.50000+ 1 2.90000+ 1 1.49304- 3 2.10433- 3 2.50000+ 1 3.00000+ 1 7.77370- 4 2.12337- 3 2.50000+ 1 3.20000+ 1 3.58891- 3 2.17569- 3 2.50000+ 1 3.30000+ 1 7.54126- 3 2.17771- 3 2.50000+ 1 4.10000+ 1 2.67037- 4 2.18212- 3 2.70000+ 1 2.70000+ 1 1.74317- 6 2.04934- 3 2.70000+ 1 2.90000+ 1 3.48649- 6 2.08773- 3 2.70000+ 1 3.00000+ 1 6.44998- 5 2.10677- 3 2.70000+ 1 3.20000+ 1 3.83521- 5 2.15909- 3 2.70000+ 1 3.30000+ 1 6.74668- 4 2.16111- 3 2.90000+ 1 3.00000+ 1 1.17311- 4 2.14516- 3 2.90000+ 1 3.20000+ 1 3.35189- 6 2.19748- 3 2.90000+ 1 3.30000+ 1 6.43566- 4 2.19950- 3 3.00000+ 1 3.00000+ 1 1.07529- 4 2.16420- 3 3.00000+ 1 3.20000+ 1 6.89791- 5 2.21652- 3 3.00000+ 1 3.30000+ 1 1.15030- 3 2.21854- 3 3.00000+ 1 4.10000+ 1 6.08639- 6 2.22295- 3 3.20000+ 1 3.20000+ 1 4.59571- 6 2.26884- 3 3.20000+ 1 3.30000+ 1 4.98636- 4 2.27086- 3 3.20000+ 1 4.10000+ 1 2.29795- 6 2.27527- 3 3.30000+ 1 3.30000+ 1 5.49516- 4 2.27288- 3 3.30000+ 1 4.10000+ 1 3.91640- 5 2.27729- 3 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.86711- 5 1.14270- 4 1.90000+ 1 2.85634- 4 2.20310- 4 2.90000+ 1 1.75086- 4 7.00100- 4 3.00000+ 1 7.35052- 5 7.19140- 4 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40000+ 1 9.41679- 3 7.70000- 7 1.80000+ 1 2.50000+ 1 2.36385- 3 5.14000- 6 1.80000+ 1 2.90000+ 1 3.13090- 2 2.69300- 5 1.80000+ 1 3.00000+ 1 5.29706- 2 4.59700- 5 1.80000+ 1 3.20000+ 1 3.10855- 2 9.82900- 5 1.80000+ 1 3.30000+ 1 5.00835- 2 1.00310- 4 1.80000+ 1 4.10000+ 1 2.87362- 3 1.04720- 4 1.90000+ 1 2.40000+ 1 7.75020- 2 1.06810- 4 1.90000+ 1 2.50000+ 1 1.04574- 1 1.11180- 4 1.90000+ 1 2.70000+ 1 4.03083- 2 9.45800- 5 1.90000+ 1 2.90000+ 1 4.62985- 2 1.32970- 4 1.90000+ 1 3.00000+ 1 4.91585- 2 1.52010- 4 1.90000+ 1 3.20000+ 1 3.48975- 2 2.04330- 4 1.90000+ 1 3.30000+ 1 4.14448- 2 2.06350- 4 1.90000+ 1 4.10000+ 1 3.45358- 3 2.10760- 4 2.10000+ 1 2.10000+ 1 4.10937- 3 3.10200- 5 2.10000+ 1 2.20000+ 1 4.79686- 3 5.08100- 5 2.10000+ 1 2.40000+ 1 4.54068- 3 2.95730- 4 2.10000+ 1 2.50000+ 1 8.37220- 3 3.00100- 4 2.10000+ 1 2.70000+ 1 1.65550- 2 2.83500- 4 2.10000+ 1 2.90000+ 1 4.79011- 3 3.21890- 4 2.10000+ 1 3.00000+ 1 7.71187- 3 3.40930- 4 2.10000+ 1 3.20000+ 1 1.41240- 3 3.93250- 4 2.10000+ 1 3.30000+ 1 1.33072- 3 3.95270- 4 2.10000+ 1 4.10000+ 1 1.10866- 3 3.99680- 4 2.20000+ 1 2.20000+ 1 5.83061- 3 7.06000- 5 2.20000+ 1 2.40000+ 1 9.44803- 3 3.15520- 4 2.20000+ 1 2.50000+ 1 9.26174- 3 3.19890- 4 2.20000+ 1 2.70000+ 1 2.30213- 2 3.03290- 4 2.20000+ 1 2.90000+ 1 9.09155- 3 3.41680- 4 2.20000+ 1 3.00000+ 1 7.93334- 3 3.60720- 4 2.20000+ 1 3.20000+ 1 1.15854- 3 4.13040- 4 2.20000+ 1 3.30000+ 1 1.95661- 3 4.15060- 4 2.20000+ 1 4.10000+ 1 1.53345- 3 4.19470- 4 2.40000+ 1 2.40000+ 1 8.59274- 3 5.60440- 4 2.40000+ 1 2.50000+ 1 1.74860- 2 5.64810- 4 2.40000+ 1 2.70000+ 1 1.94659- 2 5.48210- 4 2.40000+ 1 2.90000+ 1 2.56901- 3 5.86600- 4 2.40000+ 1 3.00000+ 1 8.40839- 3 6.05640- 4 2.40000+ 1 3.20000+ 1 6.39712- 4 6.57960- 4 2.40000+ 1 3.30000+ 1 4.19942- 4 6.59980- 4 2.40000+ 1 4.10000+ 1 1.16725- 3 6.64390- 4 2.50000+ 1 2.50000+ 1 1.43054- 2 5.69180- 4 2.50000+ 1 2.70000+ 1 2.53393- 2 5.52580- 4 2.50000+ 1 2.90000+ 1 1.40999- 3 5.90970- 4 2.50000+ 1 3.00000+ 1 9.78449- 3 6.10010- 4 2.50000+ 1 3.20000+ 1 3.92690- 4 6.62330- 4 2.50000+ 1 3.30000+ 1 9.19886- 4 6.64350- 4 2.50000+ 1 4.10000+ 1 1.51509- 3 6.68760- 4 2.70000+ 1 2.70000+ 1 1.71146- 2 5.35980- 4 2.70000+ 1 2.90000+ 1 2.34636- 2 5.74370- 4 2.70000+ 1 3.00000+ 1 3.74404- 2 5.93410- 4 2.70000+ 1 3.20000+ 1 2.40312- 2 6.45730- 4 2.70000+ 1 3.30000+ 1 3.22810- 2 6.47750- 4 2.70000+ 1 4.10000+ 1 2.55138- 3 6.52160- 4 2.90000+ 1 2.90000+ 1 2.49029- 3 6.12760- 4 2.90000+ 1 3.00000+ 1 1.02492- 2 6.31800- 4 2.90000+ 1 3.20000+ 1 2.98121- 3 6.84120- 4 2.90000+ 1 3.30000+ 1 2.50404- 3 6.86140- 4 2.90000+ 1 4.10000+ 1 1.91664- 3 6.90550- 4 3.00000+ 1 3.00000+ 1 7.12694- 3 6.50840- 4 3.00000+ 1 3.20000+ 1 3.02003- 3 7.03160- 4 3.00000+ 1 3.30000+ 1 5.29868- 3 7.05180- 4 3.00000+ 1 4.10000+ 1 3.07766- 3 7.09590- 4 3.20000+ 1 3.20000+ 1 6.43639- 4 7.55480- 4 3.20000+ 1 3.30000+ 1 1.93085- 3 7.57500- 4 3.20000+ 1 4.10000+ 1 2.35720- 3 7.61910- 4 3.30000+ 1 3.30000+ 1 1.31521- 3 7.59520- 4 3.30000+ 1 4.10000+ 1 3.40277- 3 7.63930- 4 4.10000+ 1 4.10000+ 1 1.31892- 4 7.68340- 4 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 8.79437- 4 2.94960- 4 2.70000+ 1 1.90803- 4 5.47440- 4 3.20000+ 1 2.73151- 5 6.57190- 4 4.10000+ 1 1.84451- 5 6.63620- 4 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.40000+ 1 1.35773- 3 0.00000+ 0 1.90000+ 1 2.50000+ 1 2.79183- 3 0.00000+ 0 1.90000+ 1 2.90000+ 1 1.40415- 2 1.87000- 5 1.90000+ 1 3.00000+ 1 1.81834- 2 3.77400- 5 1.90000+ 1 3.20000+ 1 5.69994- 3 9.00600- 5 1.90000+ 1 3.30000+ 1 8.68484- 3 9.20800- 5 1.90000+ 1 4.10000+ 1 1.24039- 3 9.64900- 5 2.10000+ 1 2.40000+ 1 1.41790- 1 1.81460- 4 2.10000+ 1 2.50000+ 1 3.12306- 1 1.85830- 4 2.10000+ 1 2.70000+ 1 3.79131- 2 1.69230- 4 2.10000+ 1 2.90000+ 1 2.91381- 2 2.07620- 4 2.10000+ 1 3.00000+ 1 4.24573- 2 2.26660- 4 2.10000+ 1 3.20000+ 1 1.74791- 2 2.78980- 4 2.10000+ 1 3.30000+ 1 2.86187- 2 2.81000- 4 2.10000+ 1 4.10000+ 1 3.25047- 3 2.85410- 4 2.20000+ 1 2.40000+ 1 4.51178- 2 2.01250- 4 2.20000+ 1 2.50000+ 1 1.15264- 2 2.05620- 4 2.20000+ 1 2.70000+ 1 6.28120- 3 1.89020- 4 2.20000+ 1 2.90000+ 1 2.57408- 2 2.27410- 4 2.20000+ 1 3.00000+ 1 5.46962- 3 2.46450- 4 2.20000+ 1 3.20000+ 1 2.26164- 3 2.98770- 4 2.20000+ 1 3.30000+ 1 1.85870- 3 3.00790- 4 2.20000+ 1 4.10000+ 1 4.33129- 4 3.05200- 4 2.40000+ 1 2.40000+ 1 2.89391- 3 4.46170- 4 2.40000+ 1 2.50000+ 1 1.90170- 2 4.50540- 4 2.40000+ 1 2.70000+ 1 4.62268- 3 4.33940- 4 2.40000+ 1 2.90000+ 1 1.97377- 2 4.72330- 4 2.40000+ 1 3.00000+ 1 3.85786- 3 4.91370- 4 2.40000+ 1 3.20000+ 1 3.92187- 3 5.43690- 4 2.40000+ 1 3.30000+ 1 1.86195- 3 5.45710- 4 2.40000+ 1 4.10000+ 1 4.01539- 4 5.50120- 4 2.50000+ 1 2.50000+ 1 9.33691- 4 4.54910- 4 2.50000+ 1 2.70000+ 1 3.11075- 3 4.38310- 4 2.50000+ 1 2.90000+ 1 3.69190- 2 4.76700- 4 2.50000+ 1 3.00000+ 1 2.23601- 3 4.95740- 4 2.50000+ 1 3.20000+ 1 9.22157- 3 5.48060- 4 2.50000+ 1 3.30000+ 1 7.38473- 4 5.50080- 4 2.50000+ 1 4.10000+ 1 2.17073- 4 5.54490- 4 2.70000+ 1 2.70000+ 1 8.37089- 4 4.21710- 4 2.70000+ 1 2.90000+ 1 1.16675- 2 4.60100- 4 2.70000+ 1 3.00000+ 1 2.11078- 3 4.79140- 4 2.70000+ 1 3.20000+ 1 2.10729- 3 5.31460- 4 2.70000+ 1 3.30000+ 1 1.40675- 3 5.33480- 4 2.70000+ 1 4.10000+ 1 1.18100- 4 5.37890- 4 2.90000+ 1 2.90000+ 1 1.33540- 2 4.98490- 4 2.90000+ 1 3.00000+ 1 3.53244- 2 5.17530- 4 2.90000+ 1 3.20000+ 1 1.85660- 2 5.69850- 4 2.90000+ 1 3.30000+ 1 3.02437- 2 5.71870- 4 2.90000+ 1 4.10000+ 1 1.87615- 3 5.76280- 4 3.00000+ 1 3.00000+ 1 1.35783- 3 5.36570- 4 3.00000+ 1 3.20000+ 1 4.28099- 3 5.88890- 4 3.00000+ 1 3.30000+ 1 1.56545- 3 5.90910- 4 3.00000+ 1 4.10000+ 1 2.51824- 4 5.95320- 4 3.20000+ 1 3.20000+ 1 1.30418- 4 6.41210- 4 3.20000+ 1 3.30000+ 1 2.38473- 4 6.43230- 4 3.20000+ 1 4.10000+ 1 3.94876- 5 6.47640- 4 3.30000+ 1 3.30000+ 1 4.58935- 5 6.45250- 4 3.30000+ 1 4.10000+ 1 2.78245- 5 6.49660- 4 4.10000+ 1 4.10000+ 1 6.97391- 7 6.54070- 4 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.63004- 5 1.88920- 4 2.20000+ 1 2.00792- 4 2.08710- 4 2.70000+ 1 1.60456- 4 4.41400- 4 3.20000+ 1 7.89725- 6 5.51150- 4 3.30000+ 1 4.47004- 5 5.53170- 4 4.10000+ 1 1.54153- 5 5.57580- 4 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 8.24993- 3 7.54200- 5 2.10000+ 1 2.50000+ 1 1.68862- 2 7.97900- 5 2.10000+ 1 2.70000+ 1 1.66143- 2 6.31900- 5 2.10000+ 1 2.90000+ 1 1.31284- 2 1.01580- 4 2.10000+ 1 3.00000+ 1 4.18804- 2 1.20620- 4 2.10000+ 1 3.20000+ 1 8.86806- 3 1.72940- 4 2.10000+ 1 3.30000+ 1 1.54005- 2 1.74960- 4 2.10000+ 1 4.10000+ 1 1.33133- 3 1.79370- 4 2.20000+ 1 2.40000+ 1 1.06804- 1 9.52100- 5 2.20000+ 1 2.50000+ 1 1.31655- 1 9.95800- 5 2.20000+ 1 2.70000+ 1 8.22940- 2 8.29800- 5 2.20000+ 1 2.90000+ 1 8.77362- 2 1.21370- 4 2.20000+ 1 3.00000+ 1 1.09938- 1 1.40410- 4 2.20000+ 1 3.20000+ 1 6.79382- 2 1.92730- 4 2.20000+ 1 3.30000+ 1 7.70322- 2 1.94750- 4 2.20000+ 1 4.10000+ 1 7.25773- 3 1.99160- 4 2.40000+ 1 2.40000+ 1 7.69791- 4 3.40130- 4 2.40000+ 1 2.50000+ 1 1.61455- 2 3.44500- 4 2.40000+ 1 2.70000+ 1 6.53706- 3 3.27900- 4 2.40000+ 1 2.90000+ 1 3.32179- 3 3.66290- 4 2.40000+ 1 3.00000+ 1 4.32337- 2 3.85330- 4 2.40000+ 1 3.20000+ 1 1.00464- 3 4.37650- 4 2.40000+ 1 3.30000+ 1 4.83900- 3 4.39670- 4 2.40000+ 1 4.10000+ 1 4.02866- 4 4.44080- 4 2.50000+ 1 2.50000+ 1 7.28548- 3 3.48870- 4 2.50000+ 1 2.70000+ 1 1.42491- 2 3.32270- 4 2.50000+ 1 2.90000+ 1 1.20446- 2 3.70660- 4 2.50000+ 1 3.00000+ 1 5.26179- 2 3.89700- 4 2.50000+ 1 3.20000+ 1 9.39882- 4 4.42020- 4 2.50000+ 1 3.30000+ 1 6.23830- 3 4.44040- 4 2.50000+ 1 4.10000+ 1 1.01001- 3 4.48450- 4 2.70000+ 1 2.70000+ 1 9.45093- 7 3.15670- 4 2.70000+ 1 2.90000+ 1 2.58482- 4 3.54060- 4 2.70000+ 1 3.00000+ 1 5.37821- 3 3.73100- 4 2.70000+ 1 3.20000+ 1 3.82284- 4 4.25420- 4 2.70000+ 1 3.30000+ 1 6.91814- 4 4.27440- 4 2.70000+ 1 4.10000+ 1 1.41766- 6 4.31850- 4 2.90000+ 1 2.90000+ 1 1.17921- 5 3.92450- 4 2.90000+ 1 3.00000+ 1 5.03613- 3 4.11490- 4 2.90000+ 1 3.20000+ 1 1.81520- 4 4.63810- 4 2.90000+ 1 3.30000+ 1 5.92128- 4 4.65830- 4 2.90000+ 1 4.10000+ 1 1.76869- 5 4.70240- 4 3.00000+ 1 3.00000+ 1 7.89712- 3 4.30530- 4 3.00000+ 1 3.20000+ 1 6.19758- 3 4.82850- 4 3.00000+ 1 3.30000+ 1 8.01558- 3 4.84870- 4 3.00000+ 1 4.10000+ 1 5.25563- 4 4.89280- 4 3.20000+ 1 3.20000+ 1 5.23933- 5 5.35170- 4 3.20000+ 1 3.30000+ 1 3.19751- 4 5.37190- 4 3.20000+ 1 4.10000+ 1 1.52933- 5 5.41600- 4 3.30000+ 1 3.30000+ 1 2.89273- 4 5.39210- 4 3.30000+ 1 4.10000+ 1 3.55145- 5 5.43620- 4 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.02565- 4 2.64710- 4 2.90000+ 1 4.77014- 5 2.90870- 4 3.00000+ 1 6.40518- 6 3.09910- 4 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.20000+ 1 3.37050- 2 3.81000- 6 2.20000+ 1 3.30000+ 1 5.58687- 3 5.83000- 6 2.20000+ 1 4.10000+ 1 5.77981- 4 1.02400- 5 2.40000+ 1 2.40000+ 1 1.21822- 1 1.51210- 4 2.40000+ 1 2.50000+ 1 3.88051- 1 1.55580- 4 2.40000+ 1 2.70000+ 1 6.65499- 2 1.38980- 4 2.40000+ 1 2.90000+ 1 5.53274- 2 1.77370- 4 2.40000+ 1 3.00000+ 1 7.68835- 2 1.96410- 4 2.40000+ 1 3.20000+ 1 5.91818- 2 2.48730- 4 2.40000+ 1 3.30000+ 1 5.79934- 2 2.50750- 4 2.40000+ 1 4.10000+ 1 5.80852- 3 2.55160- 4 2.50000+ 1 2.50000+ 1 4.94618- 3 1.59950- 4 2.50000+ 1 2.70000+ 1 6.01423- 3 1.43350- 4 2.50000+ 1 2.90000+ 1 1.20130- 2 1.81740- 4 2.50000+ 1 3.00000+ 1 5.02680- 3 2.00780- 4 2.50000+ 1 3.20000+ 1 6.47840- 2 2.53100- 4 2.50000+ 1 3.30000+ 1 2.48109- 3 2.55120- 4 2.50000+ 1 4.10000+ 1 4.08293- 4 2.59530- 4 2.70000+ 1 2.70000+ 1 8.06259- 4 1.26750- 4 2.70000+ 1 2.90000+ 1 1.58809- 3 1.65140- 4 2.70000+ 1 3.00000+ 1 1.50305- 3 1.84180- 4 2.70000+ 1 3.20000+ 1 5.72910- 3 2.36500- 4 2.70000+ 1 3.30000+ 1 1.70167- 3 2.38520- 4 2.70000+ 1 4.10000+ 1 8.17848- 5 2.42930- 4 2.90000+ 1 2.90000+ 1 3.09760- 4 2.03530- 4 2.90000+ 1 3.00000+ 1 1.61032- 3 2.22570- 4 2.90000+ 1 3.20000+ 1 3.20867- 3 2.74890- 4 2.90000+ 1 3.30000+ 1 5.59632- 4 2.76910- 4 2.90000+ 1 4.10000+ 1 5.86031- 5 2.81320- 4 3.00000+ 1 3.00000+ 1 6.22706- 4 2.41610- 4 3.00000+ 1 3.20000+ 1 6.14306- 3 2.93930- 4 3.00000+ 1 3.30000+ 1 5.35523- 4 2.95950- 4 3.00000+ 1 4.10000+ 1 3.79861- 5 3.00360- 4 3.20000+ 1 3.20000+ 1 2.61151- 3 3.46250- 4 3.20000+ 1 3.30000+ 1 4.98748- 3 3.48270- 4 3.20000+ 1 4.10000+ 1 3.51081- 4 3.52680- 4 3.30000+ 1 3.30000+ 1 1.03806- 4 3.50290- 4 3.30000+ 1 4.10000+ 1 3.09435- 5 3.54700- 4 4.10000+ 1 4.10000+ 1 1.60999- 6 3.59110- 4 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 8.96290- 6 2.44920- 4 2.50000+ 1 1.91890- 4 2.49290- 4 3.00000+ 1 4.36260- 5 2.90120- 4 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 7.38144- 3 1.31420- 4 2.40000+ 1 2.50000+ 1 2.56891- 1 1.35790- 4 2.40000+ 1 2.70000+ 1 9.00679- 3 1.19190- 4 2.40000+ 1 2.90000+ 1 5.61990- 3 1.57580- 4 2.40000+ 1 3.00000+ 1 1.25675- 2 1.76620- 4 2.40000+ 1 3.20000+ 1 3.55637- 3 2.28940- 4 2.40000+ 1 3.30000+ 1 5.90490- 2 2.30960- 4 2.40000+ 1 4.10000+ 1 6.88217- 4 2.35370- 4 2.50000+ 1 2.50000+ 1 2.04569- 1 1.40160- 4 2.50000+ 1 2.70000+ 1 7.42502- 2 1.23560- 4 2.50000+ 1 2.90000+ 1 7.73330- 2 1.61950- 4 2.50000+ 1 3.00000+ 1 7.95630- 2 1.80990- 4 2.50000+ 1 3.20000+ 1 5.56782- 2 2.33310- 4 2.50000+ 1 3.30000+ 1 1.04255- 1 2.35330- 4 2.50000+ 1 4.10000+ 1 6.55167- 3 2.39740- 4 2.70000+ 1 2.70000+ 1 1.43769- 3 1.06960- 4 2.70000+ 1 2.90000+ 1 1.58229- 3 1.45350- 4 2.70000+ 1 3.00000+ 1 3.24367- 3 1.64390- 4 2.70000+ 1 3.20000+ 1 2.18325- 3 2.16710- 4 2.70000+ 1 3.30000+ 1 7.92903- 3 2.18730- 4 2.70000+ 1 4.10000+ 1 1.41070- 4 2.23140- 4 2.90000+ 1 2.90000+ 1 1.90481- 4 1.83740- 4 2.90000+ 1 3.00000+ 1 2.61618- 3 2.02780- 4 2.90000+ 1 3.20000+ 1 2.64208- 4 2.55100- 4 2.90000+ 1 3.30000+ 1 4.94067- 3 2.57120- 4 2.90000+ 1 4.10000+ 1 5.27666- 5 2.61530- 4 3.00000+ 1 3.00000+ 1 9.23602- 4 2.21820- 4 3.00000+ 1 3.20000+ 1 8.37156- 4 2.74140- 4 3.00000+ 1 3.30000+ 1 6.67813- 3 2.76160- 4 3.00000+ 1 4.10000+ 1 7.97128- 5 2.80570- 4 3.20000+ 1 3.20000+ 1 5.95027- 5 3.26460- 4 3.20000+ 1 3.30000+ 1 4.43023- 3 3.28480- 4 3.20000+ 1 4.10000+ 1 3.96685- 5 3.32890- 4 3.30000+ 1 3.30000+ 1 4.73321- 3 3.30500- 4 3.30000+ 1 4.10000+ 1 4.29993- 4 3.34910- 4 4.10000+ 1 4.10000+ 1 2.61950- 6 3.39320- 4 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.99739- 6 9.75200- 5 3.30000+ 1 1.32449- 7 9.95400- 5 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 1.01316- 1 1.01800- 5 2.90000+ 1 3.30000+ 1 6.47458- 2 1.22000- 5 2.90000+ 1 4.10000+ 1 5.03739- 3 1.66100- 5 3.00000+ 1 3.20000+ 1 1.75209- 1 2.92200- 5 3.00000+ 1 3.30000+ 1 3.40737- 2 3.12400- 5 3.00000+ 1 4.10000+ 1 3.45637- 3 3.56500- 5 3.20000+ 1 3.20000+ 1 2.38537- 1 8.15400- 5 3.20000+ 1 3.30000+ 1 3.45451- 1 8.35600- 5 3.20000+ 1 4.10000+ 1 1.12783- 2 8.79700- 5 3.30000+ 1 3.30000+ 1 1.97717- 2 8.55800- 5 3.30000+ 1 4.10000+ 1 1.12214- 3 8.99900- 5 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 1.92522- 6 9.51700- 5 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 1.00217- 2 5.81000- 6 2.90000+ 1 3.30000+ 1 6.91938- 2 7.83000- 6 2.90000+ 1 4.10000+ 1 5.42401- 4 1.22400- 5 3.00000+ 1 3.20000+ 1 4.70499- 2 2.48500- 5 3.00000+ 1 3.30000+ 1 2.22372- 1 2.68700- 5 3.00000+ 1 4.10000+ 1 9.28068- 3 3.12800- 5 3.20000+ 1 3.20000+ 1 9.45910- 3 7.71700- 5 3.20000+ 1 3.30000+ 1 2.72819- 1 7.91900- 5 3.20000+ 1 4.10000+ 1 7.45318- 4 8.36000- 5 3.30000+ 1 3.30000+ 1 3.45849- 1 8.12100- 5 3.30000+ 1 4.10000+ 1 1.26646- 2 8.56200- 5 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 9.10135- 7 3.83900- 5 3.00000+ 1 6.24911- 6 5.74300- 5 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 6.36012- 2 2.24100- 5 2.90000+ 1 3.30000+ 1 1.76731- 1 2.44300- 5 2.90000+ 1 4.10000+ 1 1.01172- 2 2.88400- 5 3.00000+ 1 3.20000+ 1 3.11312- 1 4.14500- 5 3.00000+ 1 3.30000+ 1 2.93406- 1 4.34700- 5 3.00000+ 1 4.10000+ 1 1.57208- 2 4.78800- 5 3.20000+ 1 3.20000+ 1 2.18822- 3 9.37700- 5 3.20000+ 1 3.30000+ 1 9.87720- 2 9.57900- 5 3.20000+ 1 4.10000+ 1 6.44953- 3 1.00200- 4 3.30000+ 1 3.30000+ 1 1.23988- 2 9.78100- 5 3.30000+ 1 4.10000+ 1 4.23820- 3 1.02220- 4 4.10000+ 1 4.10000+ 1 5.05809- 3 1.06630- 4 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 2.57445- 6 7.13600- 5 4.10000+ 1 1.74582- 7 7.77900- 5 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.20000+ 1 1.57819- 1 3.06000- 6 3.00000+ 1 3.30000+ 1 3.19737- 2 5.08000- 6 3.00000+ 1 4.10000+ 1 3.92708- 3 9.49000- 6 3.20000+ 1 3.20000+ 1 1.42154- 1 5.53800- 5 3.20000+ 1 3.30000+ 1 6.18749- 1 5.74000- 5 3.20000+ 1 4.10000+ 1 2.35475- 2 6.18100- 5 3.30000+ 1 3.30000+ 1 1.97569- 2 5.94200- 5 3.30000+ 1 4.10000+ 1 2.06713- 3 6.38300- 5 4.10000+ 1 4.10000+ 1 1.85200- 6 6.82400- 5 1 80000 0 7 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 4.84358- 8 5.23200- 5 3.30000+ 1 4.92398- 7 5.43400- 5 4.10000+ 1 6.68447- 8 5.87500- 5 1 80000 0 9 2.00590+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 2.62862- 2 3.63400- 5 3.20000+ 1 3.30000+ 1 5.70985- 1 3.83600- 5 3.20000+ 1 4.10000+ 1 1.06861- 2 4.27700- 5 3.30000+ 1 3.30000+ 1 3.56345- 1 4.03800- 5 3.30000+ 1 4.10000+ 1 3.54335- 2 4.47900- 5 4.10000+ 1 4.10000+ 1 2.64359- 4 4.92000- 5 1 81000 0 0 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 3.30000- 1 4.40000+ 1 6.70000- 1 1 81000 0 0 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.57980- 2 3.00000+ 0 1.53300- 2 5.00000+ 0 1.47460- 2 6.00000+ 0 1.26600- 2 8.00000+ 0 3.67870- 3 1.00000+ 1 3.40970- 3 1.10000+ 1 2.94460- 3 1.30000+ 1 2.49370- 3 1.40000+ 1 2.39390- 3 1.60000+ 1 8.31430- 4 1.80000+ 1 7.13970- 4 1.90000+ 1 6.00320- 4 2.10000+ 1 4.06350- 4 2.20000+ 1 3.85130- 4 2.40000+ 1 1.32950- 4 2.50000+ 1 1.28160- 4 2.70000+ 1 1.39160- 4 2.90000+ 1 9.90300- 5 3.00000+ 1 7.79600- 5 3.20000+ 1 2.24000- 5 3.30000+ 1 2.00100- 5 4.10000+ 1 1.23600- 5 4.30000+ 1 5.46000- 6 4.40000+ 1 4.30000- 6 1 81000 0 0 2.04370+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.20450- 1 3.00000+ 0 2.89720- 2 5.00000+ 0 2.89580- 2 6.00000+ 0 2.08190- 2 8.00000+ 0 9.24690- 3 1.00000+ 1 9.12960- 3 1.10000+ 1 7.10960- 3 1.30000+ 1 6.96210- 3 1.40000+ 1 6.53880- 3 1.60000+ 1 3.05560- 3 1.80000+ 1 2.92470- 3 1.90000+ 1 2.31520- 3 2.10000+ 1 2.09310- 3 2.20000+ 1 1.96930- 3 2.40000+ 1 1.59440- 3 2.50000+ 1 1.55300- 3 2.70000+ 1 7.94060- 4 2.90000+ 1 6.88750- 4 3.00000+ 1 5.33340- 4 3.20000+ 1 3.29170- 4 3.30000+ 1 3.02300- 4 4.10000+ 1 1.08020- 4 4.30000+ 1 5.37400- 5 4.40000+ 1 3.20500- 5 1 81000 0 0 2.04370+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.62680-11 3.00000+ 0 3.59280-10 5.00000+ 0 2.94640-10 6.00000+ 0 3.41130-10 8.00000+ 0 9.32960-10 1.00000+ 1 8.81210-10 1.10000+ 1 9.66170-10 1.30000+ 1 8.38740-10 1.40000+ 1 8.64610-10 1.60000+ 1 2.05980- 9 1.80000+ 1 2.06480- 9 1.90000+ 1 2.24440- 9 2.10000+ 1 2.26870- 9 2.20000+ 1 2.32580- 9 2.40000+ 1 2.40620- 9 2.50000+ 1 2.43860- 9 2.70000+ 1 4.59140- 9 2.90000+ 1 4.90420- 9 3.00000+ 1 5.39080- 9 3.20000+ 1 6.88140- 9 3.30000+ 1 7.14010- 9 4.10000+ 1 1.25890- 8 4.30000+ 1 1.75240- 8 4.40000+ 1 2.13470- 8 1 81000 0 0 2.04370+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.43750- 5 3.00000+ 0 1.26740- 6 5.00000+ 0 2.23150- 6 6.00000+ 0 1.93970- 6 8.00000+ 0 4.83910- 8 1.00000+ 1 5.40790- 8 1.10000+ 1 5.82170- 8 1.30000+ 1 7.31830- 8 1.40000+ 1 6.84280- 8 1.60000+ 1 1.79530- 9 1.80000+ 1 2.79090- 9 1.90000+ 1 1.76830- 9 2.10000+ 1 1.75850- 9 2.20000+ 1 1.47290- 9 2.40000+ 1 1.75990-11 2.50000+ 1 1.59160-11 2.70000+ 1 9.87930-11 2.90000+ 1 1.98690-10 3.00000+ 1 1.13190-10 1 81000 0 0 2.04370+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.07290- 6 3.00000+ 0 1.26360- 5 5.00000+ 0 3.49690- 6 6.00000+ 0 3.76670- 6 8.00000+ 0 1.89950- 5 1.00000+ 1 1.30790- 5 1.10000+ 1 1.02690- 5 1.30000+ 1 2.33660- 6 1.40000+ 1 2.31130- 6 1.60000+ 1 1.51500- 5 1.80000+ 1 1.37430- 5 1.90000+ 1 9.22560- 6 2.10000+ 1 8.09530- 6 2.20000+ 1 7.23690- 6 2.40000+ 1 2.90090- 7 2.50000+ 1 2.66620- 7 2.70000+ 1 2.34100- 5 2.90000+ 1 9.16920- 6 3.00000+ 1 1.15500- 5 1 81000 0 0 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.49660- 4 3.00000+ 0 3.55899- 4 5.00000+ 0 2.56835- 4 6.00000+ 0 2.50968- 4 8.00000+ 0 2.52064- 4 1.00000+ 1 2.18374- 4 1.10000+ 1 1.93782- 4 1.30000+ 1 1.48674- 4 1.40000+ 1 1.44219- 4 1.60000+ 1 1.38336- 4 1.80000+ 1 1.27103- 4 1.90000+ 1 1.22027- 4 2.10000+ 1 9.31407- 5 2.20000+ 1 8.94003- 5 2.40000+ 1 5.11930- 5 2.50000+ 1 4.86321- 5 2.70000+ 1 5.95556- 5 2.90000+ 1 4.47052- 5 3.00000+ 1 4.10588- 5 3.20000+ 1 2.24000- 5 3.30000+ 1 2.00100- 5 4.10000+ 1 1.23600- 5 4.30000+ 1 5.46000- 6 4.40000+ 1 4.30000- 6 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.31091+ 0 3.00000+ 0 4.22714- 1 5.00000+ 0 4.77089- 1 6.00000+ 0 3.87368- 1 8.00000+ 0 3.40158- 2 1.00000+ 1 3.39082- 2 1.10000+ 1 3.17967- 2 1.30000+ 1 3.61932- 2 1.40000+ 1 3.39761- 2 1.60000+ 1 1.15238- 3 1.80000+ 1 1.40775- 3 1.90000+ 1 6.94376- 4 2.10000+ 1 3.01515- 4 2.20000+ 1 2.75768- 4 2.40000+ 1 4.34023- 6 2.50000+ 1 3.69357- 6 2.70000+ 1 9.61793- 6 2.90000+ 1 3.94827- 6 3.00000+ 1 8.37010- 7 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.53257- 2 3.00000+ 0 4.16223- 3 5.00000+ 0 5.46988- 3 6.00000+ 0 3.70394- 3 8.00000+ 0 7.87341- 5 1.00000+ 1 7.86782- 5 1.10000+ 1 7.22012- 5 1.30000+ 1 8.30058- 5 1.40000+ 1 7.53774- 5 1.60000+ 1 4.59251- 7 1.80000+ 1 5.00557- 7 1.90000+ 1 2.31491- 7 2.10000+ 1 8.33080- 8 2.20000+ 1 7.21648- 8 2.40000+ 1 4.46114-10 2.50000+ 1 3.76238-10 2.70000+ 1 5.82668-10 2.90000+ 1 3.03406-10 3.00000+ 1 4.91138-11 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.10369+ 1 3.00000+ 0 1.61767+ 1 5.00000+ 0 1.13594+ 1 6.00000+ 0 1.11122+ 1 8.00000+ 0 1.11599+ 1 1.00000+ 1 9.50738+ 0 1.10000+ 1 8.35660+ 0 1.30000+ 1 6.13324+ 0 1.40000+ 1 5.97498+ 0 1.60000+ 1 5.68662+ 0 1.80000+ 1 5.10689+ 0 1.90000+ 1 4.90303+ 0 2.10000+ 1 3.45197+ 0 2.20000+ 1 3.33618+ 0 2.40000+ 1 1.41428+ 0 2.50000+ 1 1.38051+ 0 2.70000+ 1 1.88373+ 0 2.90000+ 1 1.12269+ 0 3.00000+ 1 9.99999- 1 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.02226- 2 3.00000+ 0 1.08119- 2 5.00000+ 0 9.01928- 3 6.00000+ 0 8.70509- 3 8.00000+ 0 3.34790- 3 1.00000+ 1 3.11265- 3 1.10000+ 1 2.67862- 3 1.30000+ 1 2.26202- 3 1.40000+ 1 2.17430- 3 1.60000+ 1 6.92634- 4 1.80000+ 1 5.86367- 4 1.90000+ 1 4.78061- 4 2.10000+ 1 3.13126- 4 2.20000+ 1 2.95658- 4 2.40000+ 1 8.17565- 5 2.50000+ 1 7.95275- 5 2.70000+ 1 7.96038- 5 2.90000+ 1 5.43245- 5 3.00000+ 1 3.69012- 5 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.81469- 1 7.10520- 2 6.00000+ 0 4.74849- 1 7.31380- 2 1.00000+ 1 5.26839- 2 8.23883- 2 1.10000+ 1 1.01990- 1 8.28534- 2 1.30000+ 1 1.39750- 3 8.33043- 2 1.40000+ 1 1.70040- 3 8.34041- 2 1.80000+ 1 1.24890- 2 8.50840- 2 1.90000+ 1 2.45019- 2 8.51977- 2 2.10000+ 1 3.67359- 4 8.53916- 2 2.20000+ 1 4.46179- 4 8.54129- 2 2.90000+ 1 2.89499- 3 8.56990- 2 3.00000+ 1 5.64679- 3 8.57200- 2 3.20000+ 1 4.35579- 5 8.57756- 2 3.30000+ 1 5.14009- 5 8.57780- 2 4.30000+ 1 2.45709- 5 8.57925- 2 4.40000+ 1 3.49709- 5 8.57937- 2 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.21482- 3 5.51380- 2 3.00000+ 0 5.00000+ 0 6.65537- 3 5.57220- 2 3.00000+ 0 6.00000+ 0 3.72017- 3 5.78080- 2 3.00000+ 0 8.00000+ 0 1.69819- 3 6.67893- 2 3.00000+ 0 1.00000+ 1 1.43611- 3 6.70583- 2 3.00000+ 0 1.10000+ 1 8.69796- 4 6.75234- 2 3.00000+ 0 1.30000+ 1 7.31477- 5 6.79743- 2 3.00000+ 0 1.40000+ 1 5.49401- 5 6.80741- 2 3.00000+ 0 1.60000+ 1 4.25421- 4 6.96366- 2 3.00000+ 0 1.80000+ 1 3.51367- 4 6.97540- 2 3.00000+ 0 1.90000+ 1 2.12201- 4 6.98677- 2 3.00000+ 0 2.10000+ 1 1.90897- 5 7.00616- 2 3.00000+ 0 2.20000+ 1 1.41228- 5 7.00829- 2 3.00000+ 0 2.40000+ 1 5.17323- 8 7.03350- 2 3.00000+ 0 2.50000+ 1 5.17323- 8 7.03398- 2 3.00000+ 0 2.70000+ 1 8.89780- 5 7.03288- 2 3.00000+ 0 2.90000+ 1 6.54901- 5 7.03690- 2 3.00000+ 0 3.00000+ 1 3.80228- 5 7.03900- 2 3.00000+ 0 3.20000+ 1 2.12083- 6 7.04456- 2 3.00000+ 0 3.30000+ 1 1.50018- 6 7.04480- 2 5.00000+ 0 5.00000+ 0 3.66376- 4 5.63060- 2 5.00000+ 0 6.00000+ 0 6.59202- 3 5.83920- 2 5.00000+ 0 8.00000+ 0 1.16287- 3 6.73733- 2 5.00000+ 0 1.00000+ 1 1.38643- 4 6.76423- 2 5.00000+ 0 1.10000+ 1 1.28845- 3 6.81074- 2 5.00000+ 0 1.30000+ 1 7.54775- 5 6.85583- 2 5.00000+ 0 1.40000+ 1 1.98541- 4 6.86581- 2 5.00000+ 0 1.60000+ 1 2.82029- 4 7.02206- 2 5.00000+ 0 1.80000+ 1 3.29530- 5 7.03380- 2 5.00000+ 0 1.90000+ 1 3.01658- 4 7.04517- 2 5.00000+ 0 2.10000+ 1 1.89344- 5 7.06456- 2 5.00000+ 0 2.20000+ 1 4.99749- 5 7.06669- 2 5.00000+ 0 2.40000+ 1 5.17329- 7 7.09190- 2 5.00000+ 0 2.50000+ 1 8.27724- 7 7.09238- 2 5.00000+ 0 2.70000+ 1 5.85630- 5 7.09128- 2 5.00000+ 0 2.90000+ 1 6.10455- 6 7.09530- 2 5.00000+ 0 3.00000+ 1 5.35928- 5 7.09740- 2 5.00000+ 0 3.20000+ 1 2.12086- 6 7.10296- 2 5.00000+ 0 3.30000+ 1 5.32816- 6 7.10320- 2 6.00000+ 0 6.00000+ 0 2.84532- 3 6.04780- 2 6.00000+ 0 8.00000+ 0 5.90713- 4 6.94593- 2 6.00000+ 0 1.00000+ 1 1.17232- 3 6.97283- 2 6.00000+ 0 1.10000+ 1 1.14882- 3 7.01934- 2 6.00000+ 0 1.30000+ 1 2.21103- 4 7.06443- 2 6.00000+ 0 1.40000+ 1 1.84430- 4 7.07441- 2 6.00000+ 0 1.60000+ 1 1.40040- 4 7.23066- 2 6.00000+ 0 1.80000+ 1 2.74948- 4 7.24240- 2 6.00000+ 0 1.90000+ 1 2.71331- 4 7.25377- 2 6.00000+ 0 2.10000+ 1 5.60769- 5 7.27316- 2 6.00000+ 0 2.20000+ 1 4.66097- 5 7.27529- 2 6.00000+ 0 2.40000+ 1 8.79431- 7 7.30050- 2 6.00000+ 0 2.50000+ 1 9.31174- 7 7.30098- 2 6.00000+ 0 2.70000+ 1 2.89190- 5 7.29988- 2 6.00000+ 0 2.90000+ 1 5.07481- 5 7.30390- 2 6.00000+ 0 3.00000+ 1 4.83161- 5 7.30600- 2 6.00000+ 0 3.20000+ 1 6.20786- 6 7.31156- 2 6.00000+ 0 3.30000+ 1 4.96609- 6 7.31180- 2 8.00000+ 0 8.00000+ 0 1.68288- 4 7.84406- 2 8.00000+ 0 1.00000+ 1 2.51529- 4 7.87096- 2 8.00000+ 0 1.10000+ 1 1.39310- 4 7.91747- 2 8.00000+ 0 1.30000+ 1 1.13808- 5 7.96256- 2 8.00000+ 0 1.40000+ 1 8.01874- 6 7.97254- 2 8.00000+ 0 1.60000+ 1 8.40138- 5 8.12879- 2 8.00000+ 0 1.80000+ 1 6.16137- 5 8.14053- 2 8.00000+ 0 1.90000+ 1 3.40405- 5 8.15190- 2 8.00000+ 0 2.10000+ 1 3.00041- 6 8.17129- 2 8.00000+ 0 2.20000+ 1 2.06924- 6 8.17342- 2 8.00000+ 0 2.70000+ 1 1.75371- 5 8.19801- 2 8.00000+ 0 2.90000+ 1 1.14849- 5 8.20203- 2 8.00000+ 0 3.00000+ 1 6.10459- 6 8.20413- 2 8.00000+ 0 3.20000+ 1 3.10387- 7 8.20969- 2 8.00000+ 0 3.30000+ 1 2.06924- 7 8.20993- 2 1.00000+ 1 1.00000+ 1 1.27258- 5 7.89786- 2 1.00000+ 1 1.10000+ 1 2.35637- 4 7.94437- 2 1.00000+ 1 1.30000+ 1 1.16396- 5 7.98946- 2 1.00000+ 1 1.40000+ 1 2.66428- 5 7.99944- 2 1.00000+ 1 1.60000+ 1 6.10466- 5 8.15569- 2 1.00000+ 1 1.80000+ 1 6.00098- 6 8.16743- 2 1.00000+ 1 1.90000+ 1 5.55095- 5 8.17880- 2 1.00000+ 1 2.10000+ 1 2.94870- 6 8.19819- 2 1.00000+ 1 2.20000+ 1 6.77696- 6 8.20032- 2 1.00000+ 1 2.40000+ 1 5.17338- 8 8.22553- 2 1.00000+ 1 2.50000+ 1 1.03464- 7 8.22601- 2 1.00000+ 1 2.70000+ 1 1.26743- 5 8.22491- 2 1.00000+ 1 2.90000+ 1 1.08636- 6 8.22893- 2 1.00000+ 1 3.00000+ 1 9.88095- 6 8.23103- 2 1.00000+ 1 3.20000+ 1 3.10390- 7 8.23659- 2 1.00000+ 1 3.30000+ 1 7.24243- 7 8.23683- 2 1.10000+ 1 1.10000+ 1 1.17127- 4 7.99088- 2 1.10000+ 1 1.30000+ 1 3.57993- 5 8.03597- 2 1.10000+ 1 1.40000+ 1 2.88680- 5 8.04595- 2 1.10000+ 1 1.60000+ 1 3.31096- 5 8.20220- 2 1.10000+ 1 1.80000+ 1 5.55616- 5 8.21394- 2 1.10000+ 1 1.90000+ 1 5.54070- 5 8.22531- 2 1.10000+ 1 2.10000+ 1 9.15670- 6 8.24470- 2 1.10000+ 1 2.20000+ 1 7.34618- 6 8.24683- 2 1.10000+ 1 2.40000+ 1 1.03465- 7 8.27204- 2 1.10000+ 1 2.50000+ 1 1.55197- 7 8.27252- 2 1.10000+ 1 2.70000+ 1 6.82864- 6 8.27142- 2 1.10000+ 1 2.90000+ 1 1.02948- 5 8.27544- 2 1.10000+ 1 3.00000+ 1 9.88105- 6 8.27754- 2 1.10000+ 1 3.20000+ 1 1.03465- 6 8.28310- 2 1.10000+ 1 3.30000+ 1 7.75993- 7 8.28334- 2 1.30000+ 1 1.30000+ 1 1.03460- 7 8.08106- 2 1.30000+ 1 1.40000+ 1 4.13871- 6 8.09104- 2 1.30000+ 1 1.60000+ 1 2.69006- 6 8.24729- 2 1.30000+ 1 1.80000+ 1 2.69006- 6 8.25903- 2 1.30000+ 1 1.90000+ 1 8.01855- 6 8.27040- 2 1.30000+ 1 2.10000+ 1 5.17320- 8 8.28979- 2 1.30000+ 1 2.20000+ 1 1.03460- 6 8.29192- 2 1.30000+ 1 2.70000+ 1 5.69028- 7 8.31651- 2 1.30000+ 1 2.90000+ 1 4.65579- 7 8.32053- 2 1.30000+ 1 3.00000+ 1 1.39671- 6 8.32263- 2 1.30000+ 1 3.30000+ 1 1.03460- 7 8.32843- 2 1.40000+ 1 1.40000+ 1 9.82904- 7 8.10102- 2 1.40000+ 1 1.60000+ 1 1.86228- 6 8.25727- 2 1.40000+ 1 1.80000+ 1 5.84550- 6 8.26901- 2 1.40000+ 1 1.90000+ 1 6.41464- 6 8.28038- 2 1.40000+ 1 2.10000+ 1 1.03461- 6 8.29977- 2 1.40000+ 1 2.20000+ 1 4.65581- 7 8.30190- 2 1.40000+ 1 2.70000+ 1 4.13873- 7 8.32649- 2 1.40000+ 1 2.90000+ 1 1.08632- 6 8.33051- 2 1.40000+ 1 3.00000+ 1 1.13805- 6 8.33261- 2 1.40000+ 1 3.20000+ 1 1.03461- 7 8.33817- 2 1.40000+ 1 3.30000+ 1 5.17323- 8 8.33841- 2 1.60000+ 1 1.60000+ 1 1.05018- 5 8.41351- 2 1.60000+ 1 1.80000+ 1 1.49509- 5 8.42526- 2 1.60000+ 1 1.90000+ 1 8.07055- 6 8.43662- 2 1.60000+ 1 2.10000+ 1 7.24252- 7 8.45602- 2 1.60000+ 1 2.20000+ 1 4.65601- 7 8.45814- 2 1.60000+ 1 2.70000+ 1 4.39746- 6 8.48274- 2 1.60000+ 1 2.90000+ 1 2.79365- 6 8.48675- 2 1.60000+ 1 3.00000+ 1 1.44851- 6 8.48886- 2 1.60000+ 1 3.20000+ 1 1.03465- 7 8.49442- 2 1.60000+ 1 3.30000+ 1 5.17344- 8 8.49466- 2 1.80000+ 1 1.80000+ 1 7.24238- 7 8.43701- 2 1.80000+ 1 1.90000+ 1 1.30885- 5 8.44837- 2 1.80000+ 1 2.10000+ 1 6.72527- 7 8.46777- 2 1.80000+ 1 2.20000+ 1 1.50021- 6 8.46989- 2 1.80000+ 1 2.70000+ 1 3.10387- 6 8.49449- 2 1.80000+ 1 2.90000+ 1 2.58656- 7 8.49850- 2 1.80000+ 1 3.00000+ 1 2.32801- 6 8.50061- 2 1.80000+ 1 3.20000+ 1 5.17334- 8 8.50616- 2 1.80000+ 1 3.30000+ 1 1.55194- 7 8.50640- 2 1.90000+ 1 1.90000+ 1 6.45374- 6 8.45974- 2 1.90000+ 1 2.10000+ 1 2.03260- 6 8.47913- 2 1.90000+ 1 2.20000+ 1 1.62609- 6 8.48125- 2 1.90000+ 1 2.40000+ 1 5.08173- 8 8.50647- 2 1.90000+ 1 2.50000+ 1 5.08173- 8 8.50695- 2 1.90000+ 1 2.70000+ 1 1.62609- 6 8.50585- 2 1.90000+ 1 2.90000+ 1 2.38831- 6 8.50986- 2 1.90000+ 1 3.00000+ 1 2.28678- 6 8.51197- 2 1.90000+ 1 3.20000+ 1 2.03260- 7 8.51753- 2 1.90000+ 1 3.30000+ 1 1.52446- 7 8.51777- 2 2.10000+ 1 2.20000+ 1 2.58657- 7 8.50065- 2 2.10000+ 1 2.70000+ 1 1.55195- 7 8.52525- 2 2.10000+ 1 2.90000+ 1 1.03463- 7 8.52926- 2 2.10000+ 1 3.00000+ 1 3.62120- 7 8.53137- 2 2.10000+ 1 3.30000+ 1 5.17335- 8 8.53716- 2 2.20000+ 1 2.20000+ 1 5.17337- 8 8.50277- 2 2.20000+ 1 2.70000+ 1 1.03463- 7 8.52737- 2 2.20000+ 1 2.90000+ 1 2.58658- 7 8.53138- 2 2.20000+ 1 3.00000+ 1 3.10389- 7 8.53349- 2 2.20000+ 1 3.20000+ 1 5.17337- 8 8.53905- 2 2.70000+ 1 2.70000+ 1 4.71260- 7 8.55197- 2 2.70000+ 1 2.90000+ 1 5.75971- 7 8.55598- 2 2.70000+ 1 3.00000+ 1 3.14166- 7 8.55809- 2 2.90000+ 1 3.00000+ 1 4.16321- 7 8.56210- 2 2.90000+ 1 3.30000+ 1 5.20382- 8 8.56790- 2 3.00000+ 1 3.00000+ 1 1.97463- 7 8.56421- 2 3.00000+ 1 3.20000+ 1 4.93680- 8 8.56976- 2 3.00000+ 1 3.30000+ 1 4.93680- 8 8.57000- 2 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.13340- 5 5.84000- 4 6.00000+ 0 2.64349- 3 2.67000- 3 1.00000+ 1 3.06439- 2 1.19203- 2 1.10000+ 1 3.40989- 2 1.23854- 2 1.30000+ 1 1.07750- 3 1.28363- 2 1.40000+ 1 1.61289- 3 1.29361- 2 1.80000+ 1 7.83957- 3 1.46160- 2 1.90000+ 1 9.47767- 3 1.47297- 2 2.10000+ 1 1.63889- 4 1.49236- 2 2.20000+ 1 2.58849- 4 1.49449- 2 2.90000+ 1 1.49219- 3 1.52310- 2 3.00000+ 1 1.76339- 3 1.52520- 2 3.20000+ 1 1.79209- 5 1.53076- 2 3.30000+ 1 2.78549- 5 1.53100- 2 4.30000+ 1 1.56649- 5 1.53245- 2 4.40000+ 1 1.39220- 5 1.53257- 2 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.90000+ 1 1.51778- 2 0.00000+ 0 5.00000+ 0 2.10000+ 1 4.59782- 3 1.77650- 4 5.00000+ 0 2.20000+ 1 6.16508- 3 1.98870- 4 5.00000+ 0 2.40000+ 1 1.39319- 2 4.51050- 4 5.00000+ 0 2.50000+ 1 1.85015- 2 4.55840- 4 5.00000+ 0 2.70000+ 1 4.19595- 3 4.44840- 4 5.00000+ 0 2.90000+ 1 3.00095- 3 4.84970- 4 5.00000+ 0 3.00000+ 1 2.75477- 3 5.06040- 4 5.00000+ 0 3.20000+ 1 5.12897- 4 5.61600- 4 5.00000+ 0 3.30000+ 1 6.73174- 4 5.63990- 4 6.00000+ 0 1.30000+ 1 2.32469- 1 1.76300- 4 6.00000+ 0 1.40000+ 1 2.95853- 1 2.76100- 4 6.00000+ 0 1.60000+ 1 1.86103- 2 1.83857- 3 6.00000+ 0 1.80000+ 1 7.41813- 3 1.95603- 3 6.00000+ 0 1.90000+ 1 1.12769- 2 2.06968- 3 6.00000+ 0 2.10000+ 1 3.01282- 2 2.26365- 3 6.00000+ 0 2.20000+ 1 3.59127- 2 2.28487- 3 6.00000+ 0 2.40000+ 1 2.11481- 2 2.53705- 3 6.00000+ 0 2.50000+ 1 2.63596- 2 2.54184- 3 6.00000+ 0 2.70000+ 1 3.70776- 3 2.53084- 3 6.00000+ 0 2.90000+ 1 1.35278- 3 2.57097- 3 6.00000+ 0 3.00000+ 1 2.00392- 3 2.59204- 3 6.00000+ 0 3.20000+ 1 3.07862- 3 2.64760- 3 6.00000+ 0 3.30000+ 1 3.48858- 3 2.64999- 3 8.00000+ 0 8.00000+ 0 5.07524- 3 7.97260- 3 8.00000+ 0 1.00000+ 1 1.04330- 2 8.24160- 3 8.00000+ 0 1.10000+ 1 1.65165- 2 8.70670- 3 8.00000+ 0 1.30000+ 1 1.22678- 2 9.15760- 3 8.00000+ 0 1.40000+ 1 1.57836- 2 9.25740- 3 8.00000+ 0 1.60000+ 1 2.16261- 3 1.08199- 2 8.00000+ 0 1.80000+ 1 2.51857- 3 1.09373- 2 8.00000+ 0 1.90000+ 1 3.92984- 3 1.10510- 2 8.00000+ 0 2.10000+ 1 2.65366- 3 1.12449- 2 8.00000+ 0 2.20000+ 1 3.38549- 3 1.12662- 2 8.00000+ 0 2.40000+ 1 2.16241- 4 1.15183- 2 8.00000+ 0 2.50000+ 1 2.38148- 4 1.15231- 2 8.00000+ 0 2.70000+ 1 4.40300- 4 1.15121- 2 8.00000+ 0 2.90000+ 1 4.67308- 4 1.15523- 2 8.00000+ 0 3.00000+ 1 7.00177- 4 1.15733- 2 8.00000+ 0 3.20000+ 1 2.86484- 4 1.16289- 2 8.00000+ 0 3.30000+ 1 3.50678- 4 1.16313- 2 1.00000+ 1 1.00000+ 1 2.09390- 5 8.51060- 3 1.00000+ 1 1.10000+ 1 2.09780- 4 8.97570- 3 1.00000+ 1 1.30000+ 1 6.40088- 4 9.42660- 3 1.00000+ 1 1.40000+ 1 5.26599- 3 9.52640- 3 1.00000+ 1 1.60000+ 1 1.75183- 3 1.10889- 2 1.00000+ 1 1.80000+ 1 2.93531- 6 1.12063- 2 1.00000+ 1 1.90000+ 1 4.24639- 5 1.13200- 2 1.00000+ 1 2.10000+ 1 1.22308- 4 1.15139- 2 1.00000+ 1 2.20000+ 1 7.23040- 4 1.15352- 2 1.00000+ 1 2.40000+ 1 7.90573- 5 1.17873- 2 1.00000+ 1 2.50000+ 1 2.75533- 4 1.17921- 2 1.00000+ 1 2.70000+ 1 3.36197- 4 1.17811- 2 1.00000+ 1 2.90000+ 1 3.91372- 7 1.18213- 2 1.00000+ 1 3.00000+ 1 7.24050- 6 1.18423- 2 1.00000+ 1 3.20000+ 1 1.31107- 5 1.18979- 2 1.00000+ 1 3.30000+ 1 6.98603- 5 1.19003- 2 1.10000+ 1 1.10000+ 1 5.36581- 4 9.44080- 3 1.10000+ 1 1.30000+ 1 1.81304- 3 9.89170- 3 1.10000+ 1 1.40000+ 1 1.10839- 3 9.99150- 3 1.10000+ 1 1.60000+ 1 2.73315- 3 1.15540- 2 1.10000+ 1 1.80000+ 1 4.97045- 5 1.16714- 2 1.10000+ 1 1.90000+ 1 1.92553- 4 1.17851- 2 1.10000+ 1 2.10000+ 1 1.63206- 4 1.19790- 2 1.10000+ 1 2.20000+ 1 8.33654- 5 1.20003- 2 1.10000+ 1 2.40000+ 1 1.36008- 4 1.22524- 2 1.10000+ 1 2.50000+ 1 1.13499- 4 1.22572- 2 1.10000+ 1 2.70000+ 1 5.22882- 4 1.22462- 2 1.10000+ 1 2.90000+ 1 9.19756- 6 1.22864- 2 1.10000+ 1 3.00000+ 1 3.24850- 5 1.23074- 2 1.10000+ 1 3.20000+ 1 1.50687- 5 1.23630- 2 1.10000+ 1 3.30000+ 1 7.24054- 6 1.23654- 2 1.30000+ 1 1.30000+ 1 7.21312- 4 1.03426- 2 1.30000+ 1 1.40000+ 1 2.14727- 2 1.04424- 2 1.30000+ 1 1.60000+ 1 1.85390- 3 1.20049- 2 1.30000+ 1 1.80000+ 1 1.87070- 4 1.21223- 2 1.30000+ 1 1.90000+ 1 4.81188- 4 1.22360- 2 1.30000+ 1 2.10000+ 1 3.04687- 4 1.24299- 2 1.30000+ 1 2.20000+ 1 3.21555- 3 1.24512- 2 1.30000+ 1 2.40000+ 1 2.32275- 4 1.27033- 2 1.30000+ 1 2.50000+ 1 6.41260- 4 1.27081- 2 1.30000+ 1 2.70000+ 1 3.48322- 4 1.26971- 2 1.30000+ 1 2.90000+ 1 3.60061- 5 1.27373- 2 1.30000+ 1 3.00000+ 1 8.74705- 5 1.27583- 2 1.30000+ 1 3.20000+ 1 3.28754- 5 1.28139- 2 1.30000+ 1 3.30000+ 1 3.13286- 4 1.28163- 2 1.40000+ 1 1.40000+ 1 5.94054- 3 1.05422- 2 1.40000+ 1 1.60000+ 1 2.41967- 3 1.21047- 2 1.40000+ 1 1.80000+ 1 1.12759- 3 1.22221- 2 1.40000+ 1 1.90000+ 1 3.01562- 4 1.23358- 2 1.40000+ 1 2.10000+ 1 3.11771- 3 1.25297- 2 1.40000+ 1 2.20000+ 1 1.87863- 3 1.25510- 2 1.40000+ 1 2.40000+ 1 7.07214- 4 1.28031- 2 1.40000+ 1 2.50000+ 1 5.34620- 4 1.28079- 2 1.40000+ 1 2.70000+ 1 4.57128- 4 1.27969- 2 1.40000+ 1 2.90000+ 1 2.04691- 4 1.28371- 2 1.40000+ 1 3.00000+ 1 5.51838- 5 1.28581- 2 1.40000+ 1 3.20000+ 1 3.14280- 4 1.29137- 2 1.40000+ 1 3.30000+ 1 1.85123- 4 1.29161- 2 1.60000+ 1 1.60000+ 1 2.17213- 4 1.36671- 2 1.60000+ 1 1.80000+ 1 4.23868- 4 1.37846- 2 1.60000+ 1 1.90000+ 1 6.52439- 4 1.38982- 2 1.60000+ 1 2.10000+ 1 4.02339- 4 1.40922- 2 1.60000+ 1 2.20000+ 1 5.17410- 4 1.41134- 2 1.60000+ 1 2.40000+ 1 2.72009- 5 1.43656- 2 1.60000+ 1 2.50000+ 1 2.87668- 5 1.43704- 2 1.60000+ 1 2.70000+ 1 8.72782- 5 1.43594- 2 1.60000+ 1 2.90000+ 1 7.86709- 5 1.43995- 2 1.60000+ 1 3.00000+ 1 1.16241- 4 1.44206- 2 1.60000+ 1 3.20000+ 1 4.34437- 5 1.44762- 2 1.60000+ 1 3.30000+ 1 5.36199- 5 1.44786- 2 1.80000+ 1 1.90000+ 1 1.01761- 5 1.40157- 2 1.80000+ 1 2.10000+ 1 3.15062- 5 1.42097- 2 1.80000+ 1 2.20000+ 1 1.61056- 4 1.42309- 2 1.80000+ 1 2.40000+ 1 1.09590- 5 1.44831- 2 1.80000+ 1 2.50000+ 1 4.32482- 5 1.44879- 2 1.80000+ 1 2.70000+ 1 8.14097- 5 1.44769- 2 1.80000+ 1 3.00000+ 1 1.76125- 6 1.45381- 2 1.80000+ 1 3.20000+ 1 3.32670- 6 1.45936- 2 1.80000+ 1 3.30000+ 1 1.56556- 5 1.45960- 2 1.90000+ 1 1.90000+ 1 1.66332- 5 1.41294- 2 1.90000+ 1 2.10000+ 1 4.89216- 5 1.43233- 2 1.90000+ 1 2.20000+ 1 2.81778- 5 1.43445- 2 1.90000+ 1 2.40000+ 1 2.75909- 5 1.45967- 2 1.90000+ 1 2.50000+ 1 2.25035- 5 1.46015- 2 1.90000+ 1 2.70000+ 1 1.24846- 4 1.45905- 2 1.90000+ 1 2.90000+ 1 1.95688- 6 1.46306- 2 1.90000+ 1 3.00000+ 1 5.47919- 6 1.46517- 2 1.90000+ 1 3.20000+ 1 4.69648- 6 1.47073- 2 1.90000+ 1 3.30000+ 1 2.54392- 6 1.47097- 2 2.10000+ 1 2.10000+ 1 2.97444- 5 1.45173- 2 2.10000+ 1 2.20000+ 1 5.10946- 4 1.45385- 2 2.10000+ 1 2.40000+ 1 3.38550- 5 1.47907- 2 2.10000+ 1 2.50000+ 1 7.10358- 5 1.47955- 2 2.10000+ 1 2.70000+ 1 7.55334- 5 1.47845- 2 2.10000+ 1 2.90000+ 1 5.87069- 6 1.48246- 2 2.10000+ 1 3.00000+ 1 9.00171- 6 1.48457- 2 2.10000+ 1 3.20000+ 1 6.26205- 6 1.49012- 2 2.10000+ 1 3.30000+ 1 5.04886- 5 1.49036- 2 2.20000+ 1 2.20000+ 1 1.59296- 4 1.45597- 2 2.20000+ 1 2.40000+ 1 8.25813- 5 1.48119- 2 2.20000+ 1 2.50000+ 1 6.94695- 5 1.48167- 2 2.20000+ 1 2.70000+ 1 9.74549- 5 1.48057- 2 2.20000+ 1 2.90000+ 1 2.93532- 5 1.48458- 2 2.20000+ 1 3.00000+ 1 5.28361- 6 1.48669- 2 2.20000+ 1 3.20000+ 1 5.22491- 5 1.49225- 2 2.20000+ 1 3.30000+ 1 3.17010- 5 1.49249- 2 2.40000+ 1 2.40000+ 1 9.57380- 7 1.50641- 2 2.40000+ 1 2.50000+ 1 1.98668- 5 1.50689- 2 2.40000+ 1 2.70000+ 1 5.98387- 6 1.50579- 2 2.40000+ 1 2.90000+ 1 2.15423- 6 1.50980- 2 2.40000+ 1 3.00000+ 1 5.74453- 6 1.51191- 2 2.40000+ 1 3.20000+ 1 4.30833- 6 1.51746- 2 2.40000+ 1 3.30000+ 1 9.33470- 6 1.51770- 2 2.50000+ 1 2.50000+ 1 4.77302- 6 1.50737- 2 2.50000+ 1 2.70000+ 1 6.89445- 6 1.50627- 2 2.50000+ 1 2.90000+ 1 1.00764- 5 1.51028- 2 2.50000+ 1 3.00000+ 1 5.30334- 6 1.51239- 2 2.50000+ 1 3.20000+ 1 9.28090- 6 1.51794- 2 2.50000+ 1 3.30000+ 1 9.01574- 6 1.51818- 2 2.70000+ 1 2.70000+ 1 1.65698- 5 1.50517- 2 2.70000+ 1 2.90000+ 1 2.83534- 5 1.50918- 2 2.70000+ 1 3.00000+ 1 4.19749- 5 1.51129- 2 2.70000+ 1 3.20000+ 1 1.54641- 5 1.51684- 2 2.70000+ 1 3.30000+ 1 1.91473- 5 1.51708- 2 2.90000+ 1 3.00000+ 1 9.34939- 7 1.51530- 2 2.90000+ 1 3.20000+ 1 1.40242- 6 1.52086- 2 2.90000+ 1 3.30000+ 1 7.01211- 6 1.52110- 2 3.00000+ 1 3.00000+ 1 1.10126- 6 1.51741- 2 3.00000+ 1 3.20000+ 1 2.20247- 6 1.52296- 2 3.00000+ 1 3.30000+ 1 1.10126- 6 1.52320- 2 3.20000+ 1 3.20000+ 1 3.82229- 7 1.52852- 2 3.20000+ 1 3.30000+ 1 4.96905- 6 1.52876- 2 3.30000+ 1 3.30000+ 1 1.53629- 6 1.52900- 2 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 9.32514- 6 2.08600- 3 8.00000+ 0 8.38444- 3 1.10673- 2 1.10000+ 1 3.35482- 4 1.18014- 2 1.30000+ 1 3.08781- 1 1.22523- 2 1.60000+ 1 2.15241- 3 1.39146- 2 1.90000+ 1 9.23234- 5 1.41457- 2 2.10000+ 1 6.23623- 2 1.43396- 2 2.40000+ 1 2.50451- 4 1.46130- 2 2.70000+ 1 4.50832- 4 1.46068- 2 3.00000+ 1 1.85021- 5 1.46680- 2 3.20000+ 1 7.11523- 3 1.47236- 2 4.10000+ 1 5.23082- 5 1.47336- 2 4.40000+ 1 1.35411- 7 1.47417- 2 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 5.34000- 3 1.25457- 3 6.00000+ 0 1.80000+ 1 3.76652- 2 1.37203- 3 6.00000+ 0 1.90000+ 1 1.04942- 2 1.48568- 3 6.00000+ 0 2.10000+ 1 3.86803- 2 1.67965- 3 6.00000+ 0 2.20000+ 1 1.33128- 2 1.70087- 3 6.00000+ 0 2.40000+ 1 1.55249- 3 1.95305- 3 6.00000+ 0 2.50000+ 1 2.32364- 3 1.95784- 3 6.00000+ 0 2.70000+ 1 1.02514- 3 1.94684- 3 6.00000+ 0 2.90000+ 1 6.44707- 3 1.98697- 3 6.00000+ 0 3.00000+ 1 1.82776- 3 2.00804- 3 6.00000+ 0 3.20000+ 1 4.02151- 3 2.06360- 3 6.00000+ 0 3.30000+ 1 1.34037- 3 2.06599- 3 8.00000+ 0 8.00000+ 0 5.79540- 4 7.38860- 3 8.00000+ 0 1.00000+ 1 2.00749- 2 7.65760- 3 8.00000+ 0 1.10000+ 1 1.88110- 3 8.12270- 3 8.00000+ 0 1.30000+ 1 3.06725- 3 8.57360- 3 8.00000+ 0 1.40000+ 1 1.83173- 3 8.67340- 3 8.00000+ 0 1.60000+ 1 2.23082- 4 1.02359- 2 8.00000+ 0 1.80000+ 1 3.20095- 3 1.03533- 2 8.00000+ 0 1.90000+ 1 4.00601- 4 1.04670- 2 8.00000+ 0 2.10000+ 1 4.69407- 4 1.06609- 2 8.00000+ 0 2.20000+ 1 2.39219- 4 1.06822- 2 8.00000+ 0 2.40000+ 1 8.97077- 5 1.09343- 2 8.00000+ 0 2.50000+ 1 6.17039- 5 1.09391- 2 8.00000+ 0 2.70000+ 1 4.41418- 5 1.09281- 2 8.00000+ 0 2.90000+ 1 5.46796- 4 1.09683- 2 8.00000+ 0 3.00000+ 1 6.97746- 5 1.09893- 2 8.00000+ 0 3.20000+ 1 4.79388- 5 1.10449- 2 8.00000+ 0 3.30000+ 1 2.32565- 5 1.10473- 2 1.00000+ 1 1.00000+ 1 2.09497- 2 7.92660- 3 1.00000+ 1 1.10000+ 1 5.36723- 2 8.39170- 3 1.00000+ 1 1.30000+ 1 2.78553- 2 8.84260- 3 1.00000+ 1 1.40000+ 1 3.99289- 2 8.94240- 3 1.00000+ 1 1.60000+ 1 5.14760- 3 1.05049- 2 1.00000+ 1 1.80000+ 1 8.52017- 3 1.06223- 2 1.00000+ 1 1.90000+ 1 1.25343- 2 1.07360- 2 1.00000+ 1 2.10000+ 1 6.03041- 3 1.09299- 2 1.00000+ 1 2.20000+ 1 8.61470- 3 1.09512- 2 1.00000+ 1 2.40000+ 1 4.53288- 4 1.12033- 2 1.00000+ 1 2.50000+ 1 3.96331- 4 1.12081- 2 1.00000+ 1 2.70000+ 1 1.08076- 3 1.11971- 2 1.00000+ 1 2.90000+ 1 1.53690- 3 1.12373- 2 1.00000+ 1 3.00000+ 1 2.22566- 3 1.12583- 2 1.00000+ 1 3.20000+ 1 6.51214- 4 1.13139- 2 1.00000+ 1 3.30000+ 1 8.93317- 4 1.13163- 2 1.10000+ 1 1.10000+ 1 1.23555- 3 8.85680- 3 1.10000+ 1 1.30000+ 1 2.55624- 2 9.30770- 3 1.10000+ 1 1.40000+ 1 3.70136- 3 9.40750- 3 1.10000+ 1 1.60000+ 1 4.05359- 4 1.09700- 2 1.10000+ 1 1.80000+ 1 8.73440- 3 1.10874- 2 1.10000+ 1 1.90000+ 1 4.95071- 4 1.12011- 2 1.10000+ 1 2.10000+ 1 4.66442- 3 1.13950- 2 1.10000+ 1 2.20000+ 1 6.48843- 4 1.14163- 2 1.10000+ 1 2.40000+ 1 1.90323- 4 1.16684- 2 1.10000+ 1 2.50000+ 1 1.00633- 4 1.16732- 2 1.10000+ 1 2.70000+ 1 8.21160- 5 1.16622- 2 1.10000+ 1 2.90000+ 1 1.49795- 3 1.17024- 2 1.10000+ 1 3.00000+ 1 8.54404- 5 1.17234- 2 1.10000+ 1 3.20000+ 1 4.89365- 4 1.17790- 2 1.10000+ 1 3.30000+ 1 6.50302- 5 1.17814- 2 1.30000+ 1 1.30000+ 1 2.42016- 2 9.75860- 3 1.30000+ 1 1.40000+ 1 9.64351- 2 9.85840- 3 1.30000+ 1 1.60000+ 1 7.87890- 4 1.14209- 2 1.30000+ 1 1.80000+ 1 4.40287- 3 1.15383- 2 1.30000+ 1 1.90000+ 1 5.53668- 3 1.16520- 2 1.30000+ 1 2.10000+ 1 8.68956- 3 1.18459- 2 1.30000+ 1 2.20000+ 1 1.86541- 2 1.18672- 2 1.30000+ 1 2.40000+ 1 1.60761- 3 1.21193- 2 1.30000+ 1 2.50000+ 1 3.24980- 3 1.21241- 2 1.30000+ 1 2.70000+ 1 1.66127- 4 1.21131- 2 1.30000+ 1 2.90000+ 1 7.57025- 4 1.21533- 2 1.30000+ 1 3.00000+ 1 9.68258- 4 1.21743- 2 1.30000+ 1 3.20000+ 1 9.13182- 4 1.22299- 2 1.30000+ 1 3.30000+ 1 1.90097- 3 1.22323- 2 1.40000+ 1 1.40000+ 1 4.67828- 3 9.95820- 3 1.40000+ 1 1.60000+ 1 3.79254- 4 1.15207- 2 1.40000+ 1 1.80000+ 1 5.57250- 3 1.16381- 2 1.40000+ 1 1.90000+ 1 7.37603- 4 1.17518- 2 1.40000+ 1 2.10000+ 1 1.42283- 2 1.19457- 2 1.40000+ 1 2.20000+ 1 1.64615- 3 1.19670- 2 1.40000+ 1 2.40000+ 1 6.42686- 4 1.22191- 2 1.40000+ 1 2.50000+ 1 2.46344- 4 1.22239- 2 1.40000+ 1 2.70000+ 1 7.64194- 5 1.22129- 2 1.40000+ 1 2.90000+ 1 9.25114- 4 1.22531- 2 1.40000+ 1 3.00000+ 1 1.26735- 4 1.22741- 2 1.40000+ 1 3.20000+ 1 1.44112- 3 1.23297- 2 1.40000+ 1 3.30000+ 1 1.65654- 4 1.23321- 2 1.60000+ 1 1.60000+ 1 2.08847- 5 1.30831- 2 1.60000+ 1 1.80000+ 1 8.25909- 4 1.32006- 2 1.60000+ 1 1.90000+ 1 8.68606- 5 1.33142- 2 1.60000+ 1 2.10000+ 1 1.17240- 4 1.35082- 2 1.60000+ 1 2.20000+ 1 4.93637- 5 1.35294- 2 1.60000+ 1 2.40000+ 1 1.99344- 5 1.37816- 2 1.60000+ 1 2.50000+ 1 1.13922- 5 1.37864- 2 1.60000+ 1 2.70000+ 1 8.06873- 6 1.37754- 2 1.60000+ 1 2.90000+ 1 1.41451- 4 1.38155- 2 1.60000+ 1 3.00000+ 1 1.51891- 5 1.38366- 2 1.60000+ 1 3.20000+ 1 1.18669- 5 1.38922- 2 1.60000+ 1 3.30000+ 1 4.74652- 6 1.38946- 2 1.80000+ 1 1.80000+ 1 8.23529- 4 1.33181- 2 1.80000+ 1 1.90000+ 1 2.04580- 3 1.34317- 2 1.80000+ 1 2.10000+ 1 9.38881- 4 1.36257- 2 1.80000+ 1 2.20000+ 1 1.21366- 3 1.36469- 2 1.80000+ 1 2.40000+ 1 5.83816- 5 1.38991- 2 1.80000+ 1 2.50000+ 1 4.08193- 5 1.39039- 2 1.80000+ 1 2.70000+ 1 1.73724- 4 1.38929- 2 1.80000+ 1 2.90000+ 1 2.94290- 4 1.39330- 2 1.80000+ 1 3.00000+ 1 3.63578- 4 1.39541- 2 1.80000+ 1 3.20000+ 1 1.01102- 4 1.40096- 2 1.80000+ 1 3.30000+ 1 1.26262- 4 1.40120- 2 1.90000+ 1 1.90000+ 1 4.98370- 5 1.35454- 2 1.90000+ 1 2.10000+ 1 1.01758- 3 1.37393- 2 1.90000+ 1 2.20000+ 1 1.31474- 4 1.37605- 2 1.90000+ 1 2.40000+ 1 3.51238- 5 1.40127- 2 1.90000+ 1 2.50000+ 1 1.70872- 5 1.40175- 2 1.90000+ 1 2.70000+ 1 1.75619- 5 1.40065- 2 1.90000+ 1 2.90000+ 1 3.50768- 4 1.40466- 2 1.90000+ 1 3.00000+ 1 1.70872- 5 1.40677- 2 1.90000+ 1 3.20000+ 1 1.06794- 4 1.41233- 2 1.90000+ 1 3.30000+ 1 1.32903- 5 1.41257- 2 2.10000+ 1 2.10000+ 1 7.72716- 4 1.39333- 2 2.10000+ 1 2.20000+ 1 2.86646- 3 1.39545- 2 2.10000+ 1 2.40000+ 1 1.97935- 4 1.42067- 2 2.10000+ 1 2.50000+ 1 4.04404- 4 1.42115- 2 2.10000+ 1 2.70000+ 1 2.46826- 5 1.42005- 2 2.10000+ 1 2.90000+ 1 1.60424- 4 1.42406- 2 2.10000+ 1 3.00000+ 1 1.78470- 4 1.42617- 2 2.10000+ 1 3.20000+ 1 1.62333- 4 1.43172- 2 2.10000+ 1 3.30000+ 1 2.93800- 4 1.43196- 2 2.20000+ 1 2.20000+ 1 1.48374- 4 1.39757- 2 2.20000+ 1 2.40000+ 1 8.71893- 5 1.42279- 2 2.20000+ 1 2.50000+ 1 3.42029- 5 1.42327- 2 2.20000+ 1 2.70000+ 1 1.01162- 5 1.42217- 2 2.20000+ 1 2.90000+ 1 2.04739- 4 1.42618- 2 2.20000+ 1 3.00000+ 1 2.31227- 5 1.42829- 2 2.20000+ 1 3.20000+ 1 2.96262- 4 1.43385- 2 2.20000+ 1 3.30000+ 1 2.98676- 5 1.43409- 2 2.40000+ 1 2.40000+ 1 4.49939- 6 1.44801- 2 2.40000+ 1 2.50000+ 1 3.24961- 5 1.44849- 2 2.40000+ 1 2.70000+ 1 4.49939- 6 1.44739- 2 2.40000+ 1 2.90000+ 1 9.99871- 6 1.45140- 2 2.40000+ 1 3.00000+ 1 6.49913- 6 1.45351- 2 2.40000+ 1 3.20000+ 1 2.04962- 5 1.45906- 2 2.40000+ 1 3.30000+ 1 8.49844- 6 1.45930- 2 2.50000+ 1 2.50000+ 1 2.01363- 6 1.44897- 2 2.50000+ 1 2.70000+ 1 2.51704- 6 1.44787- 2 2.50000+ 1 2.90000+ 1 6.54464- 6 1.45188- 2 2.50000+ 1 3.00000+ 1 3.02045- 6 1.45399- 2 2.50000+ 1 3.20000+ 1 4.22885- 5 1.45954- 2 2.50000+ 1 3.30000+ 1 3.52397- 6 1.45978- 2 2.70000+ 1 2.70000+ 1 9.79490- 7 1.44677- 2 2.70000+ 1 2.90000+ 1 3.08543- 5 1.45078- 2 2.70000+ 1 3.00000+ 1 2.93830- 6 1.45289- 2 2.70000+ 1 3.20000+ 1 2.44858- 6 1.45844- 2 2.70000+ 1 3.30000+ 1 9.79490- 7 1.45868- 2 2.90000+ 1 2.90000+ 1 2.71564- 5 1.45479- 2 2.90000+ 1 3.00000+ 1 6.46835- 5 1.45690- 2 2.90000+ 1 3.20000+ 1 1.77754- 5 1.46246- 2 2.90000+ 1 3.30000+ 1 2.17253- 5 1.46270- 2 3.00000+ 1 3.00000+ 1 1.67031- 6 1.45901- 2 3.00000+ 1 3.20000+ 1 2.17140- 5 1.46456- 2 3.00000+ 1 3.30000+ 1 2.78384- 6 1.46480- 2 3.20000+ 1 3.20000+ 1 8.54384- 6 1.47012- 2 3.20000+ 1 3.30000+ 1 2.99033- 5 1.47036- 2 3.30000+ 1 3.30000+ 1 1.52581- 6 1.47060- 2 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.54549- 2 8.98130- 3 1.00000+ 1 1.57709- 4 9.25030- 3 1.10000+ 1 1.42639- 4 9.71540- 3 1.30000+ 1 2.70068- 2 1.01663- 2 1.40000+ 1 2.37828- 1 1.02661- 2 1.60000+ 1 3.38207- 3 1.18286- 2 1.80000+ 1 3.56507- 5 1.19460- 2 1.90000+ 1 3.63297- 5 1.20597- 2 2.10000+ 1 5.01666- 3 1.22536- 2 2.20000+ 1 4.53096- 2 1.22749- 2 2.40000+ 1 3.75367- 5 1.25270- 2 2.50000+ 1 2.09748- 4 1.25318- 2 2.70000+ 1 7.27674- 4 1.25208- 2 2.90000+ 1 7.45494- 6 1.25610- 2 3.00000+ 1 7.63134- 6 1.25820- 2 3.20000+ 1 5.64385- 4 1.26376- 2 3.30000+ 1 4.96856- 3 1.26400- 2 4.10000+ 1 8.15033- 5 1.26476- 2 4.30000+ 1 6.91944- 8 1.26545- 2 4.40000+ 1 5.23656- 8 1.26557- 2 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 7.29131- 4 5.30260- 3 8.00000+ 0 1.00000+ 1 3.71239- 4 5.57160- 3 8.00000+ 0 1.10000+ 1 2.11570- 2 6.03670- 3 8.00000+ 0 1.30000+ 1 2.63711- 3 6.48760- 3 8.00000+ 0 1.40000+ 1 4.40149- 3 6.58740- 3 8.00000+ 0 1.60000+ 1 2.82716- 4 8.14987- 3 8.00000+ 0 1.80000+ 1 6.61600- 5 8.26733- 3 8.00000+ 0 1.90000+ 1 3.30027- 3 8.38098- 3 8.00000+ 0 2.10000+ 1 2.74631- 4 8.57495- 3 8.00000+ 0 2.20000+ 1 4.21204- 4 8.59617- 3 8.00000+ 0 2.40000+ 1 2.23217- 4 8.84835- 3 8.00000+ 0 2.50000+ 1 3.94575- 4 8.85314- 3 8.00000+ 0 2.70000+ 1 5.56867- 5 8.84214- 3 8.00000+ 0 2.90000+ 1 1.14223- 5 8.88227- 3 8.00000+ 0 3.00000+ 1 5.41637- 4 8.90334- 3 8.00000+ 0 3.20000+ 1 2.61774- 5 8.95890- 3 8.00000+ 0 3.30000+ 1 3.80771- 5 8.96129- 3 1.00000+ 1 1.00000+ 1 4.09315- 5 5.84060- 3 1.00000+ 1 1.10000+ 1 3.55178- 2 6.30570- 3 1.00000+ 1 1.30000+ 1 1.69389- 3 6.75660- 3 1.00000+ 1 1.40000+ 1 1.44386- 2 6.85640- 3 1.00000+ 1 1.60000+ 1 7.66289- 5 8.41887- 3 1.00000+ 1 1.80000+ 1 1.99891- 5 8.53633- 3 1.00000+ 1 1.90000+ 1 5.75420- 3 8.64998- 3 1.00000+ 1 2.10000+ 1 3.21263- 4 8.84395- 3 1.00000+ 1 2.20000+ 1 2.26791- 3 8.86517- 3 1.00000+ 1 2.40000+ 1 2.19884- 4 9.11735- 3 1.00000+ 1 2.50000+ 1 5.54002- 4 9.12214- 3 1.00000+ 1 2.70000+ 1 1.57063- 5 9.11114- 3 1.00000+ 1 2.90000+ 1 3.80769- 6 9.15127- 3 1.00000+ 1 3.00000+ 1 9.51419- 4 9.17234- 3 1.00000+ 1 3.20000+ 1 3.42681- 5 9.22790- 3 1.00000+ 1 3.30000+ 1 2.24165- 4 9.23029- 3 1.10000+ 1 1.10000+ 1 4.49235- 2 6.77080- 3 1.10000+ 1 1.30000+ 1 4.70325- 2 7.22170- 3 1.10000+ 1 1.40000+ 1 6.37890- 2 7.32150- 3 1.10000+ 1 1.60000+ 1 5.34535- 3 8.88397- 3 1.10000+ 1 1.80000+ 1 8.04377- 3 9.00143- 3 1.10000+ 1 1.90000+ 1 1.76208- 2 9.11508- 3 1.10000+ 1 2.10000+ 1 9.58148- 3 9.30905- 3 1.10000+ 1 2.20000+ 1 1.28099- 2 9.33027- 3 1.10000+ 1 2.40000+ 1 8.30997- 4 9.58245- 3 1.10000+ 1 2.50000+ 1 1.02717- 3 9.58724- 3 1.10000+ 1 2.70000+ 1 1.11849- 3 9.57624- 3 1.10000+ 1 2.90000+ 1 1.47642- 3 9.61637- 3 1.10000+ 1 3.00000+ 1 3.03849- 3 9.63744- 3 1.10000+ 1 3.20000+ 1 1.02617- 3 9.69300- 3 1.10000+ 1 3.30000+ 1 1.31413- 3 9.69539- 3 1.30000+ 1 1.30000+ 1 6.52247- 3 7.67260- 3 1.30000+ 1 1.40000+ 1 1.22139- 1 7.77240- 3 1.30000+ 1 1.60000+ 1 6.32535- 4 9.33487- 3 1.30000+ 1 1.80000+ 1 4.02171- 4 9.45233- 3 1.30000+ 1 1.90000+ 1 6.94547- 3 9.56598- 3 1.30000+ 1 2.10000+ 1 2.26123- 3 9.75995- 3 1.30000+ 1 2.20000+ 1 1.77225- 2 9.78117- 3 1.30000+ 1 2.40000+ 1 4.59292- 4 1.00333- 2 1.30000+ 1 2.50000+ 1 1.55826- 3 1.00381- 2 1.30000+ 1 2.70000+ 1 1.31362- 4 1.00271- 2 1.30000+ 1 2.90000+ 1 7.42507- 5 1.00673- 2 1.30000+ 1 3.00000+ 1 1.12757- 3 1.00883- 2 1.30000+ 1 3.20000+ 1 2.37022- 4 1.01439- 2 1.30000+ 1 3.30000+ 1 1.72534- 3 1.01463- 2 1.40000+ 1 1.40000+ 1 8.13750- 2 7.87220- 3 1.40000+ 1 1.60000+ 1 1.07369- 3 9.43467- 3 1.40000+ 1 1.80000+ 1 2.96986- 3 9.55213- 3 1.40000+ 1 1.90000+ 1 1.06221- 2 9.66578- 3 1.40000+ 1 2.10000+ 1 2.14100- 2 9.85975- 3 1.40000+ 1 2.20000+ 1 2.69895- 2 9.88097- 3 1.40000+ 1 2.40000+ 1 4.85723- 3 1.01331- 2 1.40000+ 1 2.50000+ 1 4.42065- 3 1.01379- 2 1.40000+ 1 2.70000+ 1 2.25139- 4 1.01269- 2 1.40000+ 1 2.90000+ 1 5.34980- 4 1.01671- 2 1.40000+ 1 3.00000+ 1 1.77767- 3 1.01881- 2 1.40000+ 1 3.20000+ 1 2.23941- 3 1.02437- 2 1.40000+ 1 3.30000+ 1 2.69346- 3 1.02461- 2 1.60000+ 1 1.60000+ 1 2.80801- 5 1.09971- 2 1.60000+ 1 1.80000+ 1 1.42781- 5 1.11146- 2 1.60000+ 1 1.90000+ 1 8.33889- 4 1.12282- 2 1.60000+ 1 2.10000+ 1 7.18666- 5 1.14222- 2 1.60000+ 1 2.20000+ 1 1.10891- 4 1.14434- 2 1.60000+ 1 2.40000+ 1 2.99856- 5 1.16956- 2 1.60000+ 1 2.50000+ 1 6.04462- 5 1.17004- 2 1.60000+ 1 2.70000+ 1 1.09464- 5 1.16894- 2 1.60000+ 1 2.90000+ 1 2.37962- 6 1.17295- 2 1.60000+ 1 3.00000+ 1 1.36593- 4 1.17506- 2 1.60000+ 1 3.20000+ 1 7.13915- 6 1.18062- 2 1.60000+ 1 3.30000+ 1 9.99416- 6 1.18086- 2 1.80000+ 1 1.80000+ 1 1.42784- 6 1.12321- 2 1.80000+ 1 1.90000+ 1 1.29598- 3 1.13457- 2 1.80000+ 1 2.10000+ 1 7.18680- 5 1.15397- 2 1.80000+ 1 2.20000+ 1 4.97373- 4 1.15609- 2 1.80000+ 1 2.40000+ 1 3.23647- 5 1.18131- 2 1.80000+ 1 2.50000+ 1 7.71052- 5 1.18179- 2 1.80000+ 1 2.70000+ 1 2.85568- 6 1.18069- 2 1.80000+ 1 2.90000+ 1 4.75973- 7 1.18470- 2 1.80000+ 1 3.00000+ 1 2.13712- 4 1.18681- 2 1.80000+ 1 3.20000+ 1 7.61500- 6 1.19236- 2 1.80000+ 1 3.30000+ 1 4.94998- 5 1.19260- 2 1.90000+ 1 1.90000+ 1 1.65335- 3 1.14594- 2 1.90000+ 1 2.10000+ 1 1.41880- 3 1.16533- 2 1.90000+ 1 2.20000+ 1 2.10031- 3 1.16745- 2 1.90000+ 1 2.40000+ 1 1.00898- 4 1.19267- 2 1.90000+ 1 2.50000+ 1 1.31360- 4 1.19315- 2 1.90000+ 1 2.70000+ 1 1.74667- 4 1.19205- 2 1.90000+ 1 2.90000+ 1 2.37498- 4 1.19606- 2 1.90000+ 1 3.00000+ 1 5.65414- 4 1.19817- 2 1.90000+ 1 3.20000+ 1 1.51831- 4 1.20373- 2 1.90000+ 1 3.30000+ 1 2.15120- 4 1.20397- 2 2.10000+ 1 2.10000+ 1 1.88463- 4 1.18473- 2 2.10000+ 1 2.20000+ 1 3.24406- 3 1.18685- 2 2.10000+ 1 2.40000+ 1 5.33060- 5 1.21207- 2 2.10000+ 1 2.50000+ 1 1.71814- 4 1.21255- 2 2.10000+ 1 2.70000+ 1 1.52301- 5 1.21145- 2 2.10000+ 1 2.90000+ 1 1.33258- 5 1.21546- 2 2.10000+ 1 3.00000+ 1 2.30364- 4 1.21757- 2 2.10000+ 1 3.20000+ 1 3.90281- 5 1.22312- 2 2.10000+ 1 3.30000+ 1 3.17469- 4 1.22336- 2 2.20000+ 1 2.20000+ 1 2.28367- 3 1.18897- 2 2.20000+ 1 2.40000+ 1 5.60046- 4 1.21419- 2 2.20000+ 1 2.50000+ 1 5.01575- 4 1.21467- 2 2.20000+ 1 2.70000+ 1 2.36767- 5 1.21357- 2 2.20000+ 1 2.90000+ 1 9.18121- 5 1.21758- 2 2.20000+ 1 3.00000+ 1 3.55644- 4 1.21969- 2 2.20000+ 1 3.20000+ 1 3.46463- 4 1.22525- 2 2.20000+ 1 3.30000+ 1 4.55671- 4 1.22549- 2 2.40000+ 1 2.40000+ 1 2.14750- 6 1.23941- 2 2.40000+ 1 2.50000+ 1 7.03305- 5 1.23989- 2 2.40000+ 1 2.70000+ 1 6.44252- 6 1.23879- 2 2.40000+ 1 2.90000+ 1 6.44252- 6 1.24280- 2 2.40000+ 1 3.00000+ 1 1.77169- 5 1.24491- 2 2.40000+ 1 3.20000+ 1 5.90571- 6 1.25046- 2 2.40000+ 1 3.30000+ 1 5.79830- 5 1.25070- 2 2.50000+ 1 2.50000+ 1 2.23696- 5 1.24037- 2 2.50000+ 1 2.70000+ 1 1.14223- 5 1.23927- 2 2.50000+ 1 2.90000+ 1 1.28507- 5 1.24328- 2 2.50000+ 1 3.00000+ 1 2.09424- 5 1.24539- 2 2.50000+ 1 3.20000+ 1 1.66574- 5 1.25094- 2 2.50000+ 1 3.30000+ 1 4.61666- 5 1.25118- 2 2.70000+ 1 2.70000+ 1 1.28029- 6 1.23817- 2 2.70000+ 1 2.90000+ 1 6.40171- 7 1.24218- 2 2.70000+ 1 3.00000+ 1 3.84082- 5 1.24429- 2 2.70000+ 1 3.20000+ 1 1.92041- 6 1.24984- 2 2.70000+ 1 3.30000+ 1 3.20059- 6 1.25008- 2 2.90000+ 1 3.00000+ 1 5.83078- 5 1.24830- 2 2.90000+ 1 3.20000+ 1 2.13312- 6 1.25386- 2 2.90000+ 1 3.30000+ 1 1.35105- 5 1.25410- 2 3.00000+ 1 3.00000+ 1 7.58596- 5 1.25041- 2 3.00000+ 1 3.20000+ 1 3.90574- 5 1.25596- 2 3.00000+ 1 3.30000+ 1 5.63315- 5 1.25620- 2 3.20000+ 1 3.20000+ 1 1.90379- 6 1.26152- 2 3.20000+ 1 3.30000+ 1 3.33149- 5 1.26176- 2 3.30000+ 1 3.30000+ 1 2.23698- 5 1.26200- 2 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.01481- 5 2.69000- 4 1.10000+ 1 4.49533- 4 7.34100- 4 1.80000+ 1 1.49081- 3 2.96473- 3 1.90000+ 1 1.17801- 3 3.07838- 3 2.90000+ 1 3.27172- 4 3.57967- 3 3.00000+ 1 2.73882- 4 3.60074- 3 4.30000+ 1 3.28602- 6 3.67324- 3 4.40000+ 1 2.07531- 6 3.67440- 3 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 2.99846- 2 1.36050- 4 1.00000+ 1 2.50000+ 1 4.04235- 2 1.40840- 4 1.00000+ 1 2.70000+ 1 1.16366- 2 1.29840- 4 1.00000+ 1 2.90000+ 1 1.11536- 2 1.69970- 4 1.00000+ 1 3.00000+ 1 1.46232- 2 1.91040- 4 1.00000+ 1 3.20000+ 1 6.05566- 3 2.46600- 4 1.00000+ 1 3.30000+ 1 7.96945- 3 2.48990- 4 1.00000+ 1 4.10000+ 1 1.15358- 3 2.56640- 4 1.00000+ 1 4.30000+ 1 9.45708- 5 2.63540- 4 1.00000+ 1 4.40000+ 1 9.61056- 5 2.64700- 4 1.10000+ 1 1.80000+ 1 5.77114- 2 2.01300- 5 1.10000+ 1 1.90000+ 1 6.02123- 2 1.33780- 4 1.10000+ 1 2.10000+ 1 1.90586- 2 3.27750- 4 1.10000+ 1 2.20000+ 1 3.20902- 2 3.48970- 4 1.10000+ 1 2.40000+ 1 1.74006- 1 6.01150- 4 1.10000+ 1 2.50000+ 1 2.15525- 1 6.05940- 4 1.10000+ 1 2.70000+ 1 1.05778- 2 5.94940- 4 1.10000+ 1 2.90000+ 1 1.00058- 2 6.35070- 4 1.10000+ 1 3.00000+ 1 1.03636- 2 6.56140- 4 1.10000+ 1 3.20000+ 1 1.96363- 3 7.11700- 4 1.10000+ 1 3.30000+ 1 3.30570- 3 7.14090- 4 1.10000+ 1 4.10000+ 1 1.07420- 3 7.21740- 4 1.10000+ 1 4.30000+ 1 8.78669- 5 7.28640- 4 1.10000+ 1 4.40000+ 1 7.12387- 5 7.29800- 4 1.30000+ 1 1.60000+ 1 2.55165- 2 3.53570- 4 1.30000+ 1 1.80000+ 1 5.56894- 3 4.71030- 4 1.30000+ 1 1.90000+ 1 6.86769- 3 5.84680- 4 1.30000+ 1 2.10000+ 1 8.76190- 3 7.78650- 4 1.30000+ 1 2.20000+ 1 1.08280- 2 7.99870- 4 1.30000+ 1 2.40000+ 1 8.92105- 3 1.05205- 3 1.30000+ 1 2.50000+ 1 8.23419- 3 1.05684- 3 1.30000+ 1 2.70000+ 1 3.43013- 3 1.04584- 3 1.30000+ 1 2.90000+ 1 8.03193- 4 1.08597- 3 1.30000+ 1 3.00000+ 1 9.24611- 4 1.10704- 3 1.30000+ 1 3.20000+ 1 7.81118- 4 1.16260- 3 1.30000+ 1 3.30000+ 1 1.00175- 3 1.16499- 3 1.30000+ 1 4.10000+ 1 3.27429- 4 1.17264- 3 1.30000+ 1 4.30000+ 1 6.84451- 6 1.17954- 3 1.30000+ 1 4.40000+ 1 6.14641- 6 1.18070- 3 1.40000+ 1 1.60000+ 1 3.57114- 2 4.53370- 4 1.40000+ 1 1.80000+ 1 9.52001- 4 5.70830- 4 1.40000+ 1 1.90000+ 1 1.10630- 2 6.84480- 4 1.40000+ 1 2.10000+ 1 1.21355- 2 8.78450- 4 1.40000+ 1 2.20000+ 1 1.72603- 2 8.99670- 4 1.40000+ 1 2.40000+ 1 1.01597- 2 1.15185- 3 1.40000+ 1 2.50000+ 1 1.57958- 2 1.15664- 3 1.40000+ 1 2.70000+ 1 4.73122- 3 1.14564- 3 1.40000+ 1 2.90000+ 1 1.65261- 4 1.18577- 3 1.40000+ 1 3.00000+ 1 1.47654- 3 1.20684- 3 1.40000+ 1 3.20000+ 1 1.17630- 3 1.26240- 3 1.40000+ 1 3.30000+ 1 1.54067- 3 1.26479- 3 1.40000+ 1 4.10000+ 1 4.51622- 4 1.27244- 3 1.40000+ 1 4.30000+ 1 1.53666- 6 1.27934- 3 1.40000+ 1 4.40000+ 1 9.77739- 6 1.28050- 3 1.60000+ 1 1.60000+ 1 2.50263- 3 2.01584- 3 1.60000+ 1 1.80000+ 1 4.36468- 3 2.13330- 3 1.60000+ 1 1.90000+ 1 7.20321- 3 2.24695- 3 1.60000+ 1 2.10000+ 1 8.35037- 3 2.44092- 3 1.60000+ 1 2.20000+ 1 1.17519- 2 2.46214- 3 1.60000+ 1 2.40000+ 1 5.89514- 3 2.71432- 3 1.60000+ 1 2.50000+ 1 7.39631- 3 2.71911- 3 1.60000+ 1 2.70000+ 1 8.58114- 4 2.70811- 3 1.60000+ 1 2.90000+ 1 8.06906- 4 2.74824- 3 1.60000+ 1 3.00000+ 1 1.27729- 3 2.76931- 3 1.60000+ 1 3.20000+ 1 8.85484- 4 2.82487- 3 1.60000+ 1 3.30000+ 1 1.19739- 3 2.82726- 3 1.60000+ 1 4.10000+ 1 8.60951- 5 2.83491- 3 1.60000+ 1 4.30000+ 1 7.12735- 6 2.84181- 3 1.60000+ 1 4.40000+ 1 8.62801- 6 2.84297- 3 1.80000+ 1 1.80000+ 1 1.85899- 4 2.25076- 3 1.80000+ 1 1.90000+ 1 5.35500- 4 2.36441- 3 1.80000+ 1 2.10000+ 1 2.80245- 4 2.55838- 3 1.80000+ 1 2.20000+ 1 1.57178- 4 2.57960- 3 1.80000+ 1 2.40000+ 1 4.13934- 5 2.83178- 3 1.80000+ 1 2.50000+ 1 4.53839- 4 2.83657- 3 1.80000+ 1 2.70000+ 1 5.72234- 4 2.82557- 3 1.80000+ 1 2.90000+ 1 5.16487- 5 2.86570- 3 1.80000+ 1 3.00000+ 1 7.01069- 5 2.88677- 3 1.80000+ 1 3.20000+ 1 2.61037- 5 2.94233- 3 1.80000+ 1 3.30000+ 1 1.92044- 5 2.94472- 3 1.80000+ 1 4.10000+ 1 5.46317- 5 2.95237- 3 1.80000+ 1 4.30000+ 1 3.72907- 7 2.95927- 3 1.80000+ 1 4.40000+ 1 5.59380- 7 2.96043- 3 1.90000+ 1 1.90000+ 1 6.16219- 4 2.47806- 3 1.90000+ 1 2.10000+ 1 5.97572- 4 2.67203- 3 1.90000+ 1 2.20000+ 1 1.38134- 3 2.69325- 3 1.90000+ 1 2.40000+ 1 6.11743- 4 2.94543- 3 1.90000+ 1 2.50000+ 1 1.04955- 3 2.95022- 3 1.90000+ 1 2.70000+ 1 9.49017- 4 2.93922- 3 1.90000+ 1 2.90000+ 1 8.39041- 5 2.97935- 3 1.90000+ 1 3.00000+ 1 1.84028- 4 3.00042- 3 1.90000+ 1 3.20000+ 1 6.37659- 5 3.05598- 3 1.90000+ 1 3.30000+ 1 1.34443- 4 3.05837- 3 1.90000+ 1 4.10000+ 1 9.08045- 5 3.06602- 3 1.90000+ 1 4.30000+ 1 7.45780- 7 3.07292- 3 1.90000+ 1 4.40000+ 1 1.30501- 6 3.07408- 3 2.10000+ 1 2.10000+ 1 1.00333- 4 2.86600- 3 2.10000+ 1 2.20000+ 1 3.88257- 4 2.88722- 3 2.10000+ 1 2.40000+ 1 4.48657- 4 3.13940- 3 2.10000+ 1 2.50000+ 1 3.03879- 3 3.14419- 3 2.10000+ 1 2.70000+ 1 1.09211- 3 3.13319- 3 2.10000+ 1 2.90000+ 1 3.50221- 5 3.17332- 3 2.10000+ 1 3.00000+ 1 8.40531- 5 3.19439- 3 2.10000+ 1 3.20000+ 1 1.70374- 5 3.24995- 3 2.10000+ 1 3.30000+ 1 3.36959- 5 3.25234- 3 2.10000+ 1 4.10000+ 1 1.03930- 4 3.25999- 3 2.10000+ 1 4.30000+ 1 3.78599- 7 3.26689- 3 2.10000+ 1 4.40000+ 1 5.67918- 7 3.26805- 3 2.20000+ 1 2.20000+ 1 2.49883- 4 2.90844- 3 2.20000+ 1 2.40000+ 1 2.80832- 3 3.16062- 3 2.20000+ 1 2.50000+ 1 1.69233- 3 3.16541- 3 2.20000+ 1 2.70000+ 1 1.52179- 3 3.15441- 3 2.20000+ 1 2.90000+ 1 2.18105- 5 3.19454- 3 2.20000+ 1 3.00000+ 1 1.90458- 4 3.21561- 3 2.20000+ 1 3.20000+ 1 3.19635- 5 3.27117- 3 2.20000+ 1 3.30000+ 1 4.23050- 5 3.27356- 3 2.20000+ 1 4.10000+ 1 1.44772- 4 3.28121- 3 2.20000+ 1 4.30000+ 1 1.88024- 7 3.28811- 3 2.20000+ 1 4.40000+ 1 1.31599- 6 3.28927- 3 2.40000+ 1 2.40000+ 1 5.83974- 4 3.41280- 3 2.40000+ 1 2.50000+ 1 3.93812- 3 3.41759- 3 2.40000+ 1 2.70000+ 1 6.99183- 4 3.40659- 3 2.40000+ 1 2.90000+ 1 5.59363- 6 3.44672- 3 2.40000+ 1 3.00000+ 1 6.19022- 5 3.46779- 3 2.40000+ 1 3.20000+ 1 4.25105- 5 3.52335- 3 2.40000+ 1 3.30000+ 1 2.82860- 4 3.52574- 3 2.40000+ 1 4.10000+ 1 6.58169- 5 3.53339- 3 2.40000+ 1 4.40000+ 1 3.72896- 7 3.54145- 3 2.50000+ 1 2.50000+ 1 1.33816- 3 3.42238- 3 2.50000+ 1 2.70000+ 1 8.67572- 4 3.41138- 3 2.50000+ 1 2.90000+ 1 7.31118- 5 3.45151- 3 2.50000+ 1 3.00000+ 1 1.12812- 4 3.47258- 3 2.50000+ 1 3.20000+ 1 3.05195- 4 3.52814- 3 2.50000+ 1 3.30000+ 1 1.62671- 4 3.53053- 3 2.50000+ 1 4.10000+ 1 8.16080- 5 3.53818- 3 2.50000+ 1 4.30000+ 1 5.53911- 7 3.54508- 3 2.50000+ 1 4.40000+ 1 7.38509- 7 3.54624- 3 2.70000+ 1 2.70000+ 1 8.14441- 5 3.40038- 3 2.70000+ 1 2.90000+ 1 1.27757- 4 3.44051- 3 2.70000+ 1 3.00000+ 1 2.02049- 4 3.46158- 3 2.70000+ 1 3.20000+ 1 1.37378- 4 3.51714- 3 2.70000+ 1 3.30000+ 1 1.85496- 4 3.51953- 3 2.70000+ 1 4.10000+ 1 1.61100- 5 3.52718- 3 2.70000+ 1 4.30000+ 1 1.11871- 6 3.53408- 3 2.70000+ 1 4.40000+ 1 1.34244- 6 3.53524- 3 2.90000+ 1 2.90000+ 1 5.88978- 6 3.48064- 3 2.90000+ 1 3.00000+ 1 1.76690- 5 3.50171- 3 2.90000+ 1 3.20000+ 1 5.26974- 6 3.55727- 3 2.90000+ 1 3.30000+ 1 4.64976- 6 3.55966- 3 2.90000+ 1 4.10000+ 1 1.70491- 5 3.56731- 3 3.00000+ 1 3.00000+ 1 2.28450- 5 3.52278- 3 3.00000+ 1 3.20000+ 1 1.54443- 5 3.57834- 3 3.00000+ 1 3.30000+ 1 3.18547- 5 3.58073- 3 3.00000+ 1 4.10000+ 1 2.76728- 5 3.58838- 3 3.00000+ 1 4.40000+ 1 3.21767- 7 3.59644- 3 3.20000+ 1 3.20000+ 1 8.16861- 7 3.63390- 3 3.20000+ 1 3.30000+ 1 3.06333- 6 3.63629- 3 3.20000+ 1 4.10000+ 1 1.20489- 5 3.64394- 3 3.30000+ 1 3.30000+ 1 1.71531- 6 3.63868- 3 3.30000+ 1 4.10000+ 1 1.50562- 5 3.64633- 3 3.30000+ 1 4.40000+ 1 1.90592- 7 3.65439- 3 4.10000+ 1 4.10000+ 1 7.45780- 7 3.65398- 3 4.10000+ 1 4.40000+ 1 1.86456- 7 3.66204- 3 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.02140- 3 9.16000- 4 1.60000+ 1 7.38061- 4 2.57827- 3 2.10000+ 1 3.93400- 3 3.00335- 3 2.70000+ 1 1.60140- 4 3.27054- 3 3.20000+ 1 5.22540- 4 3.38730- 3 4.10000+ 1 1.82030- 5 3.39734- 3 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 6.21123- 3 5.87500- 5 1.10000+ 1 2.20000+ 1 1.50742- 2 7.99700- 5 1.10000+ 1 2.40000+ 1 2.85272- 2 3.32150- 4 1.10000+ 1 2.50000+ 1 2.61464- 2 3.36940- 4 1.10000+ 1 2.70000+ 1 3.10802- 3 3.25940- 4 1.10000+ 1 2.90000+ 1 3.90938- 3 3.66070- 4 1.10000+ 1 3.00000+ 1 2.51901- 3 3.87140- 4 1.10000+ 1 3.20000+ 1 8.14733- 4 4.42700- 4 1.10000+ 1 3.30000+ 1 1.70640- 3 4.45090- 4 1.10000+ 1 4.10000+ 1 3.01187- 4 4.52740- 4 1.10000+ 1 4.30000+ 1 3.20637- 5 4.59640- 4 1.10000+ 1 4.40000+ 1 1.62945- 5 4.60800- 4 1.30000+ 1 1.60000+ 1 4.91978- 2 8.45700- 5 1.30000+ 1 1.80000+ 1 5.01585- 2 2.02030- 4 1.30000+ 1 1.90000+ 1 4.69136- 2 3.15680- 4 1.30000+ 1 2.10000+ 1 1.86641- 2 5.09650- 4 1.30000+ 1 2.20000+ 1 2.33760- 2 5.30870- 4 1.30000+ 1 2.40000+ 1 1.40965- 1 7.83050- 4 1.30000+ 1 2.50000+ 1 2.17667- 1 7.87840- 4 1.30000+ 1 2.70000+ 1 1.01287- 2 7.76840- 4 1.30000+ 1 2.90000+ 1 7.81184- 3 8.16970- 4 1.30000+ 1 3.00000+ 1 7.99087- 3 8.38040- 4 1.30000+ 1 3.20000+ 1 2.04036- 3 8.93600- 4 1.30000+ 1 3.30000+ 1 2.59435- 3 8.95990- 4 1.30000+ 1 4.10000+ 1 1.02292- 3 9.03640- 4 1.30000+ 1 4.30000+ 1 6.69266- 5 9.10540- 4 1.30000+ 1 4.40000+ 1 5.27378- 5 9.11700- 4 1.40000+ 1 1.60000+ 1 7.89490- 3 1.84370- 4 1.40000+ 1 1.80000+ 1 5.67633- 2 3.01830- 4 1.40000+ 1 1.90000+ 1 4.91828- 3 4.15480- 4 1.40000+ 1 2.10000+ 1 1.04704- 3 6.09450- 4 1.40000+ 1 2.20000+ 1 2.74683- 3 6.30670- 4 1.40000+ 1 2.40000+ 1 5.83328- 3 8.82850- 4 1.40000+ 1 2.50000+ 1 3.99226- 3 8.87640- 4 1.40000+ 1 2.70000+ 1 1.08036- 3 8.76640- 4 1.40000+ 1 2.90000+ 1 6.92836- 3 9.16770- 4 1.40000+ 1 3.00000+ 1 7.44796- 4 9.37840- 4 1.40000+ 1 3.20000+ 1 5.90457- 5 9.93400- 4 1.40000+ 1 3.30000+ 1 2.59833- 4 9.95790- 4 1.40000+ 1 4.10000+ 1 1.03900- 4 1.00344- 3 1.40000+ 1 4.30000+ 1 5.79938- 5 1.01034- 3 1.40000+ 1 4.40000+ 1 4.90592- 6 1.01150- 3 1.60000+ 1 1.60000+ 1 7.45240- 4 1.74684- 3 1.60000+ 1 1.80000+ 1 1.08763- 2 1.86430- 3 1.60000+ 1 1.90000+ 1 1.50880- 3 1.97795- 3 1.60000+ 1 2.10000+ 1 3.69882- 4 2.17192- 3 1.60000+ 1 2.20000+ 1 1.27112- 3 2.19314- 3 1.60000+ 1 2.40000+ 1 4.55564- 5 2.44532- 3 1.60000+ 1 2.50000+ 1 9.05687- 4 2.45011- 3 1.60000+ 1 2.70000+ 1 2.39649- 4 2.43911- 3 1.60000+ 1 2.90000+ 1 1.29540- 3 2.47924- 3 1.60000+ 1 3.00000+ 1 2.41656- 4 2.50031- 3 1.60000+ 1 3.20000+ 1 2.87188- 5 2.55587- 3 1.60000+ 1 3.30000+ 1 1.18842- 4 2.55826- 3 1.60000+ 1 4.10000+ 1 2.37682- 5 2.56591- 3 1.60000+ 1 4.30000+ 1 1.08940- 5 2.57281- 3 1.60000+ 1 4.40000+ 1 1.48552- 6 2.57397- 3 1.80000+ 1 1.80000+ 1 8.36508- 3 1.98176- 3 1.80000+ 1 1.90000+ 1 2.34667- 2 2.09541- 3 1.80000+ 1 2.10000+ 1 2.33701- 2 2.28938- 3 1.80000+ 1 2.20000+ 1 3.72279- 2 2.31060- 3 1.80000+ 1 2.40000+ 1 1.35775- 2 2.56278- 3 1.80000+ 1 2.50000+ 1 2.28023- 2 2.56757- 3 1.80000+ 1 2.70000+ 1 2.25511- 3 2.55657- 3 1.80000+ 1 2.90000+ 1 2.58343- 3 2.59670- 3 1.80000+ 1 3.00000+ 1 4.12933- 3 2.61777- 3 1.80000+ 1 3.20000+ 1 2.48330- 3 2.67333- 3 1.80000+ 1 3.30000+ 1 3.75695- 3 2.67572- 3 1.80000+ 1 4.10000+ 1 2.31754- 4 2.68337- 3 1.80000+ 1 4.30000+ 1 2.22836- 5 2.69027- 3 1.80000+ 1 4.40000+ 1 2.82246- 5 2.69143- 3 1.90000+ 1 1.90000+ 1 6.34348- 4 2.20906- 3 1.90000+ 1 2.10000+ 1 1.57624- 3 2.40303- 3 1.90000+ 1 2.20000+ 1 1.37219- 3 2.42425- 3 1.90000+ 1 2.40000+ 1 9.32692- 3 2.67643- 3 1.90000+ 1 2.50000+ 1 2.57662- 3 2.68122- 3 1.90000+ 1 2.70000+ 1 2.02535- 4 2.67022- 3 1.90000+ 1 2.90000+ 1 2.85793- 3 2.71035- 3 1.90000+ 1 3.00000+ 1 1.88667- 4 2.73142- 3 1.90000+ 1 3.20000+ 1 1.35190- 4 2.78698- 3 1.90000+ 1 3.30000+ 1 1.23803- 4 2.78937- 3 1.90000+ 1 4.10000+ 1 1.93128- 5 2.79702- 3 1.90000+ 1 4.30000+ 1 2.37694- 5 2.80392- 3 1.90000+ 1 4.40000+ 1 1.48560- 6 2.80508- 3 2.10000+ 1 2.10000+ 1 8.13582- 4 2.59700- 3 2.10000+ 1 2.20000+ 1 1.97867- 3 2.61822- 3 2.10000+ 1 2.40000+ 1 1.01810- 3 2.87040- 3 2.10000+ 1 2.50000+ 1 1.76287- 3 2.87519- 3 2.10000+ 1 2.70000+ 1 7.22973- 5 2.86419- 3 2.10000+ 1 2.90000+ 1 2.77010- 3 2.90432- 3 2.10000+ 1 3.00000+ 1 2.49094- 4 2.92539- 3 2.10000+ 1 3.20000+ 1 1.43602- 4 2.98095- 3 2.10000+ 1 3.30000+ 1 1.85202- 4 2.98334- 3 2.10000+ 1 4.10000+ 1 7.42764- 6 2.99099- 3 2.10000+ 1 4.30000+ 1 2.32735- 5 2.99789- 3 2.10000+ 1 4.40000+ 1 1.48554- 6 2.99905- 3 2.20000+ 1 2.20000+ 1 5.00119- 4 2.63944- 3 2.20000+ 1 2.40000+ 1 2.90727- 3 2.89162- 3 2.20000+ 1 2.50000+ 1 6.64054- 4 2.89641- 3 2.20000+ 1 2.70000+ 1 2.09950- 4 2.88541- 3 2.20000+ 1 2.90000+ 1 4.47418- 3 2.92554- 3 2.20000+ 1 3.00000+ 1 1.87677- 4 2.94661- 3 2.20000+ 1 3.20000+ 1 1.77276- 4 3.00217- 3 2.20000+ 1 3.30000+ 1 8.66569- 5 3.00456- 3 2.20000+ 1 4.10000+ 1 2.07969- 5 3.01221- 3 2.20000+ 1 4.30000+ 1 3.76338- 5 3.01911- 3 2.20000+ 1 4.40000+ 1 1.48554- 6 3.02027- 3 2.40000+ 1 2.40000+ 1 3.32102- 3 3.14380- 3 2.40000+ 1 2.50000+ 1 2.13481- 2 3.14859- 3 2.40000+ 1 2.70000+ 1 4.95175- 6 3.13759- 3 2.40000+ 1 2.90000+ 1 1.48555- 3 3.17772- 3 2.40000+ 1 3.00000+ 1 1.54002- 3 3.19879- 3 2.40000+ 1 3.20000+ 1 1.19338- 4 3.25435- 3 2.40000+ 1 3.30000+ 1 3.30787- 4 3.25674- 3 2.40000+ 1 4.10000+ 1 4.95175- 7 3.26439- 3 2.40000+ 1 4.30000+ 1 1.23799- 5 3.27129- 3 2.40000+ 1 4.40000+ 1 1.03987- 5 3.27245- 3 2.50000+ 1 2.50000+ 1 1.11714- 3 3.15338- 3 2.50000+ 1 2.70000+ 1 1.55488- 4 3.14238- 3 2.50000+ 1 2.90000+ 1 2.45602- 3 3.18251- 3 2.50000+ 1 3.00000+ 1 3.81289- 4 3.20358- 3 2.50000+ 1 3.20000+ 1 1.92625- 4 3.25914- 3 2.50000+ 1 3.30000+ 1 6.98209- 5 3.26153- 3 2.50000+ 1 4.10000+ 1 1.53507- 5 3.26918- 3 2.50000+ 1 4.30000+ 1 2.03017- 5 3.27608- 3 2.50000+ 1 4.40000+ 1 2.47587- 6 3.27724- 3 2.70000+ 1 2.70000+ 1 2.14446- 5 3.13138- 3 2.70000+ 1 2.90000+ 1 2.99664- 4 3.17151- 3 2.70000+ 1 3.00000+ 1 3.62909- 5 3.19258- 3 2.70000+ 1 3.20000+ 1 6.04873- 6 3.24814- 3 2.70000+ 1 3.30000+ 1 2.19942- 5 3.25053- 3 2.70000+ 1 4.10000+ 1 4.39900- 6 3.25818- 3 2.70000+ 1 4.30000+ 1 2.74927- 6 3.26508- 3 2.90000+ 1 2.90000+ 1 2.13903- 4 3.21164- 3 2.90000+ 1 3.00000+ 1 5.74714- 4 3.23271- 3 2.90000+ 1 3.20000+ 1 3.36060- 4 3.28827- 3 2.90000+ 1 3.30000+ 1 5.15622- 4 3.29066- 3 2.90000+ 1 4.10000+ 1 3.15221- 5 3.29831- 3 2.90000+ 1 4.30000+ 1 3.94038- 6 3.30521- 3 2.90000+ 1 4.40000+ 1 3.94038- 6 3.30637- 3 3.00000+ 1 3.00000+ 1 2.99715- 5 3.25378- 3 3.00000+ 1 3.20000+ 1 4.70992- 5 3.30934- 3 3.00000+ 1 3.30000+ 1 3.63932- 5 3.31173- 3 3.00000+ 1 4.10000+ 1 6.42241- 6 3.31938- 3 3.00000+ 1 4.30000+ 1 9.63381- 6 3.32628- 3 3.20000+ 1 3.20000+ 1 7.91274- 6 3.36490- 3 3.20000+ 1 3.30000+ 1 2.13033- 5 3.36729- 3 3.20000+ 1 4.10000+ 1 6.08660- 7 3.37494- 3 3.20000+ 1 4.30000+ 1 3.04330- 6 3.38184- 3 3.30000+ 1 3.30000+ 1 8.35327- 6 3.36968- 3 3.30000+ 1 4.10000+ 1 4.17648- 6 3.37733- 3 3.30000+ 1 4.30000+ 1 8.35327- 6 3.38423- 3 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.51340- 5 4.50900- 4 1.40000+ 1 2.62440- 4 5.50700- 4 1.60000+ 1 1.34830- 3 2.11317- 3 2.10000+ 1 6.58210- 4 2.53825- 3 2.20000+ 1 5.08680- 3 2.55947- 3 2.70000+ 1 2.81400- 4 2.80544- 3 3.20000+ 1 8.17410- 5 2.92220- 3 3.30000+ 1 6.26610- 4 2.92459- 3 4.10000+ 1 3.20800- 5 2.93224- 3 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.10000+ 1 1.13851- 2 4.45500- 5 1.30000+ 1 2.20000+ 1 1.15949- 2 6.57700- 5 1.30000+ 1 2.40000+ 1 1.72803- 2 3.17950- 4 1.30000+ 1 2.50000+ 1 2.52065- 2 3.22740- 4 1.30000+ 1 2.70000+ 1 2.75550- 3 3.11740- 4 1.30000+ 1 2.90000+ 1 2.33368- 3 3.51870- 4 1.30000+ 1 3.00000+ 1 7.63727- 3 3.72940- 4 1.30000+ 1 3.20000+ 1 1.02707- 3 4.28500- 4 1.30000+ 1 3.30000+ 1 1.04320- 3 4.30890- 4 1.30000+ 1 4.10000+ 1 2.74089- 4 4.38540- 4 1.30000+ 1 4.30000+ 1 2.01999- 5 4.45440- 4 1.30000+ 1 4.40000+ 1 5.01824- 5 4.46600- 4 1.40000+ 1 2.10000+ 1 5.02476- 2 1.44350- 4 1.40000+ 1 2.20000+ 1 6.86478- 2 1.65570- 4 1.40000+ 1 2.40000+ 1 1.85851- 1 4.17750- 4 1.40000+ 1 2.50000+ 1 2.24450- 1 4.22540- 4 1.40000+ 1 2.70000+ 1 1.64830- 2 4.11540- 4 1.40000+ 1 2.90000+ 1 1.57929- 2 4.51670- 4 1.40000+ 1 3.00000+ 1 1.93421- 2 4.72740- 4 1.40000+ 1 3.20000+ 1 4.52652- 3 5.28300- 4 1.40000+ 1 3.30000+ 1 6.33217- 3 5.30690- 4 1.40000+ 1 4.10000+ 1 1.65499- 3 5.38340- 4 1.40000+ 1 4.30000+ 1 1.34808- 4 5.45240- 4 1.40000+ 1 4.40000+ 1 1.26948- 4 5.46400- 4 1.60000+ 1 1.60000+ 1 3.63612- 4 1.28174- 3 1.60000+ 1 1.80000+ 1 7.13048- 4 1.39920- 3 1.60000+ 1 1.90000+ 1 1.31552- 2 1.51285- 3 1.60000+ 1 2.10000+ 1 7.81789- 4 1.70682- 3 1.60000+ 1 2.20000+ 1 9.32373- 4 1.72804- 3 1.60000+ 1 2.40000+ 1 1.70000- 3 1.98022- 3 1.60000+ 1 2.50000+ 1 2.95450- 3 1.98501- 3 1.60000+ 1 2.70000+ 1 1.17006- 4 1.97401- 3 1.60000+ 1 2.90000+ 1 9.60189- 5 2.01414- 3 1.60000+ 1 3.00000+ 1 1.53261- 3 2.03521- 3 1.60000+ 1 3.20000+ 1 7.34574- 5 2.09077- 3 1.60000+ 1 3.30000+ 1 8.23785- 5 2.09316- 3 1.60000+ 1 4.10000+ 1 1.15432- 5 2.10081- 3 1.60000+ 1 4.30000+ 1 5.24711- 7 2.10771- 3 1.60000+ 1 4.40000+ 1 9.96889- 6 2.10887- 3 1.80000+ 1 1.80000+ 1 3.41050- 5 1.51666- 3 1.80000+ 1 1.90000+ 1 1.61813- 2 1.63031- 3 1.80000+ 1 2.10000+ 1 3.53634- 4 1.82428- 3 1.80000+ 1 2.20000+ 1 3.39297- 3 1.84550- 3 1.80000+ 1 2.40000+ 1 1.65749- 3 2.09768- 3 1.80000+ 1 2.50000+ 1 9.08907- 3 2.10247- 3 1.80000+ 1 2.70000+ 1 1.04936- 4 2.09147- 3 1.80000+ 1 2.90000+ 1 8.39492- 6 2.13160- 3 1.80000+ 1 3.00000+ 1 1.92403- 3 2.15267- 3 1.80000+ 1 3.20000+ 1 3.51543- 5 2.20823- 3 1.80000+ 1 3.30000+ 1 2.84378- 4 2.21062- 3 1.80000+ 1 4.10000+ 1 9.96883- 6 2.21827- 3 1.80000+ 1 4.40000+ 1 1.25925- 5 2.22633- 3 1.90000+ 1 1.90000+ 1 2.13981- 2 1.74396- 3 1.90000+ 1 2.10000+ 1 3.11693- 2 1.93793- 3 1.90000+ 1 2.20000+ 1 4.07851- 2 1.95915- 3 1.90000+ 1 2.40000+ 1 2.64739- 2 2.21133- 3 1.90000+ 1 2.50000+ 1 3.03111- 2 2.21612- 3 1.90000+ 1 2.70000+ 1 2.67587- 3 2.20512- 3 1.90000+ 1 2.90000+ 1 2.92516- 3 2.24525- 3 1.90000+ 1 3.00000+ 1 6.27288- 3 2.26632- 3 1.90000+ 1 3.20000+ 1 3.21171- 3 2.32188- 3 1.90000+ 1 3.30000+ 1 4.07533- 3 2.32427- 3 1.90000+ 1 4.10000+ 1 2.73878- 4 2.33192- 3 1.90000+ 1 4.30000+ 1 2.57093- 5 2.33882- 3 1.90000+ 1 4.40000+ 1 4.19760- 5 2.33998- 3 2.10000+ 1 2.10000+ 1 2.05677- 4 2.13190- 3 2.10000+ 1 2.20000+ 1 4.88472- 3 2.15312- 3 2.10000+ 1 2.40000+ 1 7.07271- 4 2.40530- 3 2.10000+ 1 2.50000+ 1 8.32182- 3 2.41009- 3 2.10000+ 1 2.70000+ 1 9.33916- 5 2.39909- 3 2.10000+ 1 2.90000+ 1 2.62326- 5 2.43922- 3 2.10000+ 1 3.00000+ 1 3.64179- 3 2.46029- 3 2.10000+ 1 3.20000+ 1 3.51534- 5 2.51585- 3 2.10000+ 1 3.30000+ 1 4.34411- 4 2.51824- 3 2.10000+ 1 4.10000+ 1 8.91937- 6 2.52589- 3 2.10000+ 1 4.40000+ 1 2.36102- 5 2.53395- 3 2.20000+ 1 2.20000+ 1 2.16413- 3 2.17434- 3 2.20000+ 1 2.40000+ 1 6.76165- 3 2.42652- 3 2.20000+ 1 2.50000+ 1 5.66723- 3 2.43131- 3 2.20000+ 1 2.70000+ 1 1.14906- 4 2.42031- 3 2.20000+ 1 2.90000+ 1 3.26353- 4 2.46044- 3 2.20000+ 1 3.00000+ 1 4.70803- 3 2.48151- 3 2.20000+ 1 3.20000+ 1 4.45455- 4 2.53707- 3 2.20000+ 1 3.30000+ 1 3.86171- 4 2.53946- 3 2.20000+ 1 4.10000+ 1 1.10183- 5 2.54711- 3 2.20000+ 1 4.30000+ 1 2.62333- 6 2.55401- 3 2.20000+ 1 4.40000+ 1 3.04310- 5 2.55517- 3 2.40000+ 1 2.40000+ 1 1.03676- 3 2.67870- 3 2.40000+ 1 2.50000+ 1 2.74180- 2 2.68349- 3 2.40000+ 1 2.70000+ 1 1.83638- 4 2.67249- 3 2.40000+ 1 2.90000+ 1 2.49228- 4 2.71262- 3 2.40000+ 1 3.00000+ 1 2.95067- 3 2.73369- 3 2.40000+ 1 3.20000+ 1 8.34245- 5 2.78925- 3 2.40000+ 1 3.30000+ 1 6.38005- 4 2.79164- 3 2.40000+ 1 4.10000+ 1 1.73143- 5 2.79929- 3 2.40000+ 1 4.30000+ 1 2.09860- 6 2.80619- 3 2.40000+ 1 4.40000+ 1 1.88885- 5 2.80735- 3 2.50000+ 1 2.50000+ 1 1.08221- 2 2.68828- 3 2.50000+ 1 2.70000+ 1 2.74934- 4 2.67728- 3 2.50000+ 1 2.90000+ 1 1.35840- 3 2.71741- 3 2.50000+ 1 3.00000+ 1 3.50423- 3 2.73848- 3 2.50000+ 1 3.20000+ 1 8.49452- 4 2.79404- 3 2.50000+ 1 3.30000+ 1 5.76631- 4 2.79643- 3 2.50000+ 1 4.10000+ 1 2.51836- 5 2.80408- 3 2.50000+ 1 4.30000+ 1 1.15430- 5 2.81098- 3 2.50000+ 1 4.40000+ 1 2.25629- 5 2.81214- 3 2.70000+ 1 2.70000+ 1 1.33993- 5 2.66628- 3 2.70000+ 1 2.90000+ 1 1.87593- 5 2.70641- 3 2.70000+ 1 3.00000+ 1 3.99303- 4 2.72748- 3 2.70000+ 1 3.20000+ 1 1.20595- 5 2.78304- 3 2.70000+ 1 3.30000+ 1 1.33993- 5 2.78543- 3 2.70000+ 1 4.10000+ 1 2.67974- 6 2.79308- 3 2.70000+ 1 4.40000+ 1 2.67974- 6 2.80114- 3 2.90000+ 1 2.90000+ 1 6.61431- 7 2.74654- 3 2.90000+ 1 3.00000+ 1 4.40509- 4 2.76761- 3 2.90000+ 1 3.20000+ 1 2.64547- 6 2.82317- 3 2.90000+ 1 3.30000+ 1 3.57146- 5 2.82556- 3 2.90000+ 1 4.10000+ 1 1.98422- 6 2.83321- 3 2.90000+ 1 4.40000+ 1 2.64547- 6 2.84127- 3 3.00000+ 1 3.00000+ 1 6.92736- 4 2.78868- 3 3.00000+ 1 3.20000+ 1 5.92837- 4 2.84424- 3 3.00000+ 1 3.30000+ 1 7.43126- 4 2.84663- 3 3.00000+ 1 4.10000+ 1 5.03656- 5 2.85428- 3 3.00000+ 1 4.30000+ 1 4.95383- 6 2.86118- 3 3.00000+ 1 4.40000+ 1 9.08229- 6 2.86234- 3 3.20000+ 1 3.20000+ 1 1.59628- 6 2.89980- 3 3.20000+ 1 3.30000+ 1 4.25692- 5 2.90219- 3 3.20000+ 1 4.10000+ 1 1.06417- 6 2.90984- 3 3.20000+ 1 4.40000+ 1 2.66036- 6 2.91790- 3 3.30000+ 1 3.30000+ 1 2.07870- 5 2.90458- 3 3.30000+ 1 4.10000+ 1 1.22275- 6 2.91223- 3 3.30000+ 1 4.40000+ 1 3.66821- 6 2.92029- 3 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.01869- 3 1.77973- 3 1.90000+ 1 2.02339- 4 1.89338- 3 2.40000+ 1 3.09889- 2 2.36075- 3 2.90000+ 1 4.98318- 4 2.39467- 3 3.00000+ 1 5.06808- 5 2.41574- 3 4.30000+ 1 2.62909- 6 2.48824- 3 4.40000+ 1 2.04749- 7 2.48940- 3 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.90000+ 1 2.03215- 3 7.70000- 7 1.40000+ 1 3.00000+ 1 7.31717- 3 2.18400- 5 1.40000+ 1 3.20000+ 1 4.25872- 2 7.74000- 5 1.40000+ 1 3.30000+ 1 5.85541- 3 7.97900- 5 1.40000+ 1 4.10000+ 1 6.21107- 4 8.74400- 5 1.40000+ 1 4.30000+ 1 3.15062- 5 9.43400- 5 1.40000+ 1 4.40000+ 1 5.51343- 5 9.55000- 5 1.60000+ 1 1.60000+ 1 2.81297- 5 8.30840- 4 1.60000+ 1 1.80000+ 1 1.23544- 3 9.48300- 4 1.60000+ 1 1.90000+ 1 9.40651- 4 1.06195- 3 1.60000+ 1 2.10000+ 1 3.53223- 2 1.25592- 3 1.60000+ 1 2.20000+ 1 4.10252- 3 1.27714- 3 1.60000+ 1 2.40000+ 1 1.54924- 2 1.52932- 3 1.60000+ 1 2.50000+ 1 4.28229- 3 1.53411- 3 1.60000+ 1 2.70000+ 1 2.02525- 5 1.52311- 3 1.60000+ 1 2.90000+ 1 1.81161- 4 1.56324- 3 1.60000+ 1 3.00000+ 1 1.11397- 4 1.58431- 3 1.60000+ 1 3.20000+ 1 2.65205- 3 1.63987- 3 1.60000+ 1 3.30000+ 1 3.11680- 4 1.64226- 3 1.60000+ 1 4.10000+ 1 2.25036- 6 1.64991- 3 1.60000+ 1 4.30000+ 1 1.12513- 6 1.65681- 3 1.60000+ 1 4.40000+ 1 1.12513- 6 1.65797- 3 1.80000+ 1 1.80000+ 1 7.24631- 4 1.06576- 3 1.80000+ 1 1.90000+ 1 4.73009- 3 1.17941- 3 1.80000+ 1 2.10000+ 1 3.15416- 2 1.37338- 3 1.80000+ 1 2.20000+ 1 2.23689- 3 1.39460- 3 1.80000+ 1 2.40000+ 1 1.01163- 2 1.64678- 3 1.80000+ 1 2.50000+ 1 5.08702- 3 1.65157- 3 1.80000+ 1 2.70000+ 1 1.65406- 4 1.64057- 3 1.80000+ 1 2.90000+ 1 2.11532- 4 1.68070- 3 1.80000+ 1 3.00000+ 1 6.22252- 4 1.70177- 3 1.80000+ 1 3.20000+ 1 2.35388- 3 1.75733- 3 1.80000+ 1 3.30000+ 1 1.94662- 4 1.75972- 3 1.80000+ 1 4.10000+ 1 1.57524- 5 1.76737- 3 1.80000+ 1 4.30000+ 1 2.25035- 6 1.77427- 3 1.80000+ 1 4.40000+ 1 4.50060- 6 1.77543- 3 1.90000+ 1 1.90000+ 1 1.67769- 3 1.29306- 3 1.90000+ 1 2.10000+ 1 6.35230- 2 1.48703- 3 1.90000+ 1 2.20000+ 1 2.41010- 3 1.50825- 3 1.90000+ 1 2.40000+ 1 3.40827- 3 1.76043- 3 1.90000+ 1 2.50000+ 1 2.17612- 3 1.76522- 3 1.90000+ 1 2.70000+ 1 1.47400- 4 1.75422- 3 1.90000+ 1 2.90000+ 1 5.58123- 4 1.79435- 3 1.90000+ 1 3.00000+ 1 4.21952- 4 1.81542- 3 1.90000+ 1 3.20000+ 1 4.78641- 3 1.87098- 3 1.90000+ 1 3.30000+ 1 1.90160- 4 1.87337- 3 1.90000+ 1 4.10000+ 1 1.46274- 5 1.88102- 3 1.90000+ 1 4.30000+ 1 4.50063- 6 1.88792- 3 1.90000+ 1 4.40000+ 1 2.25036- 6 1.88908- 3 2.10000+ 1 2.10000+ 1 5.68956- 2 1.68100- 3 2.10000+ 1 2.20000+ 1 1.13031- 1 1.70222- 3 2.10000+ 1 2.40000+ 1 6.00873- 2 1.95440- 3 2.10000+ 1 2.50000+ 1 7.27745- 2 1.95919- 3 2.10000+ 1 2.70000+ 1 6.62277- 3 1.94819- 3 2.10000+ 1 2.90000+ 1 5.74287- 3 1.98832- 3 2.10000+ 1 3.00000+ 1 1.08646- 2 2.00939- 3 2.10000+ 1 3.20000+ 1 1.02180- 2 2.06495- 3 2.10000+ 1 3.30000+ 1 1.11556- 2 2.06734- 3 2.10000+ 1 4.10000+ 1 6.71754- 4 2.07499- 3 2.10000+ 1 4.30000+ 1 5.06346- 5 2.08189- 3 2.10000+ 1 4.40000+ 1 7.31382- 5 2.08305- 3 2.20000+ 1 2.20000+ 1 1.81598- 3 1.72344- 3 2.20000+ 1 2.40000+ 1 6.74349- 2 1.97562- 3 2.20000+ 1 2.50000+ 1 3.40825- 3 1.98041- 3 2.20000+ 1 2.70000+ 1 4.17435- 4 1.96941- 3 2.20000+ 1 2.90000+ 1 2.57669- 4 2.00954- 3 2.20000+ 1 3.00000+ 1 3.35304- 4 2.03061- 3 2.20000+ 1 3.20000+ 1 8.56504- 3 2.08617- 3 2.20000+ 1 3.30000+ 1 2.98177- 4 2.08856- 3 2.20000+ 1 4.10000+ 1 3.93809- 5 2.09621- 3 2.20000+ 1 4.30000+ 1 2.25035- 6 2.10311- 3 2.20000+ 1 4.40000+ 1 2.25035- 6 2.10427- 3 2.40000+ 1 2.40000+ 1 6.26795- 2 2.22780- 3 2.40000+ 1 2.50000+ 1 1.81508- 1 2.23259- 3 2.40000+ 1 2.70000+ 1 3.04812- 3 2.22159- 3 2.40000+ 1 2.90000+ 1 1.51903- 3 2.26172- 3 2.40000+ 1 3.00000+ 1 5.95205- 4 2.28279- 3 2.40000+ 1 3.20000+ 1 4.87645- 3 2.33835- 3 2.40000+ 1 3.30000+ 1 6.36839- 3 2.34074- 3 2.40000+ 1 4.10000+ 1 3.08300- 4 2.34839- 3 2.40000+ 1 4.30000+ 1 1.23772- 5 2.35529- 3 2.40000+ 1 4.40000+ 1 3.37555- 6 2.35645- 3 2.50000+ 1 2.50000+ 1 3.45667- 3 2.23738- 3 2.50000+ 1 2.70000+ 1 5.48529- 4 2.22638- 3 2.50000+ 1 2.90000+ 1 3.75917- 4 2.26651- 3 2.50000+ 1 3.00000+ 1 3.07454- 4 2.28758- 3 2.50000+ 1 3.20000+ 1 4.63837- 3 2.34314- 3 2.50000+ 1 3.30000+ 1 2.75793- 4 2.34553- 3 2.50000+ 1 4.10000+ 1 5.31179- 5 2.35318- 3 2.50000+ 1 4.30000+ 1 3.06441- 6 2.36008- 3 2.50000+ 1 4.40000+ 1 2.04292- 6 2.36124- 3 2.70000+ 1 2.70000+ 1 2.62717- 6 2.21538- 3 2.70000+ 1 2.90000+ 1 3.02131- 5 2.25551- 3 2.70000+ 1 3.00000+ 1 2.10169- 5 2.27658- 3 2.70000+ 1 3.20000+ 1 5.85868- 4 2.33214- 3 2.70000+ 1 3.30000+ 1 4.07215- 5 2.33453- 3 2.90000+ 1 2.90000+ 1 2.58561- 5 2.29564- 3 2.90000+ 1 3.00000+ 1 1.20654- 4 2.31671- 3 2.90000+ 1 3.20000+ 1 6.60187- 4 2.37227- 3 2.90000+ 1 3.30000+ 1 3.79217- 5 2.37466- 3 2.90000+ 1 4.10000+ 1 3.44733- 6 2.38231- 3 3.00000+ 1 3.00000+ 1 4.58054- 5 2.33778- 3 3.00000+ 1 3.20000+ 1 1.39705- 3 2.39334- 3 3.00000+ 1 3.30000+ 1 4.77137- 5 2.39573- 3 3.00000+ 1 4.10000+ 1 3.81706- 6 2.40338- 3 3.00000+ 1 4.30000+ 1 1.90844- 6 2.41028- 3 3.20000+ 1 3.20000+ 1 4.41386- 4 2.44890- 3 3.20000+ 1 3.30000+ 1 8.40483- 4 2.45129- 3 3.20000+ 1 4.10000+ 1 5.00304- 5 2.45894- 3 3.20000+ 1 4.30000+ 1 3.33532- 6 2.46584- 3 3.20000+ 1 4.40000+ 1 5.55876- 6 2.46700- 3 3.30000+ 1 3.30000+ 1 1.27843- 5 2.45368- 3 3.30000+ 1 4.10000+ 1 3.48659- 6 2.46133- 3 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.56240- 3 1.79358- 3 2.40000+ 1 1.53760- 3 2.26095- 3 2.50000+ 1 3.00370- 2 2.26574- 3 3.00000+ 1 3.87590- 4 2.31594- 3 4.40000+ 1 1.50530- 6 2.38960- 3 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.80000+ 1 2.66013- 4 8.48500- 4 1.60000+ 1 1.90000+ 1 2.14514- 3 9.62150- 4 1.60000+ 1 2.10000+ 1 3.54335- 3 1.15612- 3 1.60000+ 1 2.20000+ 1 3.85365- 2 1.17734- 3 1.60000+ 1 2.40000+ 1 4.43593- 3 1.42952- 3 1.60000+ 1 2.50000+ 1 1.64607- 2 1.43431- 3 1.60000+ 1 2.70000+ 1 1.13675- 5 1.42331- 3 1.60000+ 1 2.90000+ 1 1.59149- 5 1.46344- 3 1.60000+ 1 3.00000+ 1 2.62603- 4 1.48451- 3 1.60000+ 1 3.20000+ 1 2.61460- 4 1.54007- 3 1.60000+ 1 3.30000+ 1 2.79872- 3 1.54246- 3 1.60000+ 1 4.10000+ 1 1.13675- 6 1.55011- 3 1.60000+ 1 4.40000+ 1 2.27359- 6 1.55817- 3 1.80000+ 1 1.90000+ 1 5.77694- 3 1.07961- 3 1.80000+ 1 2.10000+ 1 2.89876- 4 1.27358- 3 1.80000+ 1 2.20000+ 1 3.97129- 2 1.29480- 3 1.80000+ 1 2.40000+ 1 2.23602- 3 1.54698- 3 1.80000+ 1 2.50000+ 1 8.79292- 3 1.55177- 3 1.80000+ 1 2.70000+ 1 3.41037- 5 1.54077- 3 1.80000+ 1 2.90000+ 1 2.27361- 6 1.58090- 3 1.80000+ 1 3.00000+ 1 7.04821- 4 1.60197- 3 1.80000+ 1 3.20000+ 1 7.95740- 6 1.65753- 3 1.80000+ 1 3.30000+ 1 2.88523- 3 1.65992- 3 1.80000+ 1 4.10000+ 1 3.41037- 6 1.66757- 3 1.80000+ 1 4.40000+ 1 4.54712- 6 1.67563- 3 1.90000+ 1 1.90000+ 1 3.96510- 3 1.19326- 3 1.90000+ 1 2.10000+ 1 3.68324- 3 1.38723- 3 1.90000+ 1 2.20000+ 1 5.99502- 2 1.40845- 3 1.90000+ 1 2.40000+ 1 2.42700- 3 1.66063- 3 1.90000+ 1 2.50000+ 1 4.71332- 3 1.66542- 3 1.90000+ 1 2.70000+ 1 3.46721- 4 1.65442- 3 1.90000+ 1 2.90000+ 1 6.55942- 4 1.69455- 3 1.90000+ 1 3.00000+ 1 9.96971- 4 1.71562- 3 1.90000+ 1 3.20000+ 1 3.29671- 4 1.77118- 3 1.90000+ 1 3.30000+ 1 4.33812- 3 1.77357- 3 1.90000+ 1 4.10000+ 1 3.52398- 5 1.78122- 3 1.90000+ 1 4.30000+ 1 5.68375- 6 1.78812- 3 1.90000+ 1 4.40000+ 1 6.82050- 6 1.78928- 3 2.10000+ 1 2.10000+ 1 8.02574- 4 1.58120- 3 2.10000+ 1 2.20000+ 1 8.27478- 2 1.60242- 3 2.10000+ 1 2.40000+ 1 3.01019- 3 1.85460- 3 2.10000+ 1 2.50000+ 1 4.13192- 2 1.85939- 3 2.10000+ 1 2.70000+ 1 3.43301- 4 1.84839- 3 2.10000+ 1 2.90000+ 1 5.91141- 5 1.88852- 3 2.10000+ 1 3.00000+ 1 4.64940- 4 1.90959- 3 2.10000+ 1 3.20000+ 1 1.33012- 4 1.96515- 3 2.10000+ 1 3.30000+ 1 6.06471- 3 1.96754- 3 2.10000+ 1 4.10000+ 1 3.18297- 5 1.97519- 3 2.10000+ 1 4.40000+ 1 3.41034- 6 1.98325- 3 2.20000+ 1 2.20000+ 1 9.25480- 2 1.62364- 3 2.20000+ 1 2.40000+ 1 6.58812- 2 1.87582- 3 2.20000+ 1 2.50000+ 1 1.04588- 1 1.88061- 3 2.20000+ 1 2.70000+ 1 6.94455- 3 1.86961- 3 2.20000+ 1 2.90000+ 1 6.92068- 3 1.90974- 3 2.20000+ 1 3.00000+ 1 1.03425- 2 1.93081- 3 2.20000+ 1 3.20000+ 1 8.41682- 3 1.98637- 3 2.20000+ 1 3.30000+ 1 1.59168- 2 1.98876- 3 2.20000+ 1 4.10000+ 1 7.01393- 4 1.99641- 3 2.20000+ 1 4.30000+ 1 6.02501- 5 2.00331- 3 2.20000+ 1 4.40000+ 1 7.04813- 5 2.00447- 3 2.40000+ 1 2.40000+ 1 5.09961- 3 2.12800- 3 2.40000+ 1 2.50000+ 1 1.63021- 1 2.13279- 3 2.40000+ 1 2.70000+ 1 6.75231- 4 2.12179- 3 2.40000+ 1 2.90000+ 1 3.61484- 4 2.16192- 3 2.40000+ 1 3.00000+ 1 3.45577- 4 2.18299- 3 2.40000+ 1 3.20000+ 1 2.97829- 4 2.23855- 3 2.40000+ 1 3.30000+ 1 4.58783- 3 2.24094- 3 2.40000+ 1 4.10000+ 1 6.59304- 5 2.24859- 3 2.40000+ 1 4.30000+ 1 3.41025- 6 2.25549- 3 2.40000+ 1 4.40000+ 1 2.27353- 6 2.25665- 3 2.50000+ 1 2.50000+ 1 1.11507- 1 2.13758- 3 2.50000+ 1 2.70000+ 1 3.16248- 3 2.12658- 3 2.50000+ 1 2.90000+ 1 1.54932- 3 2.16671- 3 2.50000+ 1 3.00000+ 1 7.75301- 4 2.18778- 3 2.50000+ 1 3.20000+ 1 3.96509- 3 2.24334- 3 2.50000+ 1 3.30000+ 1 8.39844- 3 2.24573- 3 2.50000+ 1 4.10000+ 1 3.22840- 4 2.25338- 3 2.50000+ 1 4.30000+ 1 1.36421- 5 2.26028- 3 2.50000+ 1 4.40000+ 1 5.68373- 6 2.26144- 3 2.70000+ 1 2.70000+ 1 1.55504- 6 2.11558- 3 2.70000+ 1 2.90000+ 1 3.11021- 6 2.15571- 3 2.70000+ 1 3.00000+ 1 6.06470- 5 2.17678- 3 2.70000+ 1 3.20000+ 1 3.88773- 5 2.23234- 3 2.70000+ 1 3.30000+ 1 6.95101- 4 2.23473- 3 2.90000+ 1 3.00000+ 1 1.12463- 4 2.21691- 3 2.90000+ 1 3.20000+ 1 2.99907- 6 2.27247- 3 2.90000+ 1 3.30000+ 1 6.71759- 4 2.27486- 3 3.00000+ 1 3.00000+ 1 9.99645- 5 2.23798- 3 3.00000+ 1 3.20000+ 1 6.96158- 5 2.29354- 3 3.00000+ 1 3.30000+ 1 1.17991- 3 2.29593- 3 3.00000+ 1 4.10000+ 1 7.14018- 6 2.30358- 3 3.00000+ 1 4.30000+ 1 1.78501- 6 2.31048- 3 3.00000+ 1 4.40000+ 1 1.78501- 6 2.31164- 3 3.20000+ 1 3.20000+ 1 5.62069- 6 2.34910- 3 3.20000+ 1 3.30000+ 1 6.13791- 4 2.35149- 3 3.20000+ 1 4.10000+ 1 2.24837- 6 2.35914- 3 3.30000+ 1 3.30000+ 1 6.68441- 4 2.35388- 3 3.30000+ 1 4.10000+ 1 5.11557- 5 2.36153- 3 3.30000+ 1 4.30000+ 1 4.54710- 6 2.36843- 3 3.30000+ 1 4.40000+ 1 4.54710- 6 2.36959- 3 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.84268- 5 1.17460- 4 1.90000+ 1 3.00003- 4 2.31110- 4 2.90000+ 1 1.87519- 4 7.32400- 4 3.00000+ 1 7.53318- 5 7.53470- 4 4.30000+ 1 2.17219- 6 8.25970- 4 4.40000+ 1 7.25239- 7 8.27130- 4 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.50000+ 1 1.74172- 3 0.00000+ 0 1.80000+ 1 2.90000+ 1 3.13741- 2 1.84300- 5 1.80000+ 1 3.00000+ 1 5.34711- 2 3.95000- 5 1.80000+ 1 3.20000+ 1 3.46682- 2 9.50600- 5 1.80000+ 1 3.30000+ 1 5.60739- 2 9.74500- 5 1.80000+ 1 4.10000+ 1 3.46340- 3 1.05100- 4 1.80000+ 1 4.30000+ 1 2.62240- 4 1.12000- 4 1.80000+ 1 4.40000+ 1 3.37402- 4 1.13160- 4 1.90000+ 1 2.40000+ 1 6.90248- 2 9.81600- 5 1.90000+ 1 2.50000+ 1 9.53997- 2 1.02950- 4 1.90000+ 1 2.70000+ 1 4.01515- 2 9.19500- 5 1.90000+ 1 2.90000+ 1 4.65742- 2 1.32080- 4 1.90000+ 1 3.00000+ 1 4.90354- 2 1.53150- 4 1.90000+ 1 3.20000+ 1 3.69604- 2 2.08710- 4 1.90000+ 1 3.30000+ 1 4.44276- 2 2.11100- 4 1.90000+ 1 4.10000+ 1 4.06890- 3 2.18750- 4 1.90000+ 1 4.30000+ 1 3.86412- 4 2.25650- 4 1.90000+ 1 4.40000+ 1 3.25649- 4 2.26810- 4 2.10000+ 1 2.10000+ 1 4.05277- 3 1.87300- 5 2.10000+ 1 2.20000+ 1 4.12946- 3 3.99500- 5 2.10000+ 1 2.40000+ 1 4.47464- 3 2.92130- 4 2.10000+ 1 2.50000+ 1 7.98926- 3 2.96920- 4 2.10000+ 1 2.70000+ 1 1.67419- 2 2.85920- 4 2.10000+ 1 2.90000+ 1 4.93907- 3 3.26050- 4 2.10000+ 1 3.00000+ 1 7.63826- 3 3.47120- 4 2.10000+ 1 3.20000+ 1 1.54041- 3 4.02680- 4 2.10000+ 1 3.30000+ 1 1.49605- 3 4.05070- 4 2.10000+ 1 4.10000+ 1 1.30984- 3 4.12720- 4 2.10000+ 1 4.30000+ 1 4.22745- 5 4.19620- 4 2.10000+ 1 4.40000+ 1 4.47220- 5 4.20780- 4 2.20000+ 1 2.20000+ 1 5.56831- 3 6.11700- 5 2.20000+ 1 2.40000+ 1 9.07021- 3 3.13350- 4 2.20000+ 1 2.50000+ 1 9.03011- 3 3.18140- 4 2.20000+ 1 2.70000+ 1 2.32639- 2 3.07140- 4 2.20000+ 1 2.90000+ 1 9.20772- 3 3.47270- 4 2.20000+ 1 3.00000+ 1 7.95247- 3 3.68340- 4 2.20000+ 1 3.20000+ 1 1.28029- 3 4.23900- 4 2.20000+ 1 3.30000+ 1 2.16356- 3 4.26290- 4 2.20000+ 1 4.10000+ 1 1.81682- 3 4.33940- 4 2.20000+ 1 4.30000+ 1 7.00626- 5 4.40840- 4 2.20000+ 1 4.40000+ 1 5.03435- 5 4.42000- 4 2.40000+ 1 2.40000+ 1 8.80634- 3 5.65530- 4 2.40000+ 1 2.50000+ 1 1.77641- 2 5.70320- 4 2.40000+ 1 2.70000+ 1 1.99593- 2 5.59320- 4 2.40000+ 1 2.90000+ 1 2.66270- 3 5.99450- 4 2.40000+ 1 3.00000+ 1 8.92807- 3 6.20520- 4 2.40000+ 1 3.20000+ 1 7.21844- 4 6.76080- 4 2.40000+ 1 3.30000+ 1 4.75274- 4 6.78470- 4 2.40000+ 1 4.10000+ 1 1.40080- 3 6.86120- 4 2.40000+ 1 4.30000+ 1 1.95088- 5 6.93020- 4 2.40000+ 1 4.40000+ 1 5.18007- 5 6.94180- 4 2.50000+ 1 2.50000+ 1 1.46550- 2 5.75110- 4 2.50000+ 1 2.70000+ 1 2.59939- 2 5.64110- 4 2.50000+ 1 2.90000+ 1 1.44580- 3 6.04240- 4 2.50000+ 1 3.00000+ 1 1.03163- 2 6.25310- 4 2.50000+ 1 3.20000+ 1 4.41563- 4 6.80870- 4 2.50000+ 1 3.30000+ 1 1.04523- 3 6.83260- 4 2.50000+ 1 4.10000+ 1 1.81897- 3 6.90910- 4 2.50000+ 1 4.30000+ 1 1.04458- 5 6.97810- 4 2.50000+ 1 4.40000+ 1 5.84597- 5 6.98970- 4 2.70000+ 1 2.70000+ 1 1.68362- 2 5.53110- 4 2.70000+ 1 2.90000+ 1 2.33136- 2 5.93240- 4 2.70000+ 1 3.00000+ 1 3.71356- 2 6.14310- 4 2.70000+ 1 3.20000+ 1 2.57383- 2 6.69870- 4 2.70000+ 1 3.30000+ 1 3.49099- 2 6.72260- 4 2.70000+ 1 4.10000+ 1 2.94861- 3 6.79910- 4 2.70000+ 1 4.30000+ 1 2.07816- 4 6.86810- 4 2.70000+ 1 4.40000+ 1 2.51826- 4 6.87970- 4 2.90000+ 1 2.90000+ 1 2.36200- 3 6.33370- 4 2.90000+ 1 3.00000+ 1 9.78460- 3 6.54440- 4 2.90000+ 1 3.20000+ 1 3.05306- 3 7.10000- 4 2.90000+ 1 3.30000+ 1 2.52385- 3 7.12390- 4 2.90000+ 1 4.10000+ 1 2.11937- 3 7.20040- 4 2.90000+ 1 4.30000+ 1 3.73461- 5 7.26940- 4 2.90000+ 1 4.40000+ 1 5.60185- 5 7.28100- 4 3.00000+ 1 3.00000+ 1 6.66996- 3 6.75510- 4 3.00000+ 1 3.20000+ 1 2.96374- 3 7.31070- 4 3.00000+ 1 3.30000+ 1 5.37665- 3 7.33460- 4 3.00000+ 1 4.10000+ 1 3.37765- 3 7.41110- 4 3.00000+ 1 4.30000+ 1 7.60710- 5 7.48010- 4 3.00000+ 1 4.40000+ 1 8.21569- 5 7.49170- 4 3.20000+ 1 3.20000+ 1 7.16858- 4 7.86630- 4 3.20000+ 1 3.30000+ 1 2.15821- 3 7.89020- 4 3.20000+ 1 4.10000+ 1 2.83370- 3 7.96670- 4 3.20000+ 1 4.30000+ 1 2.61351- 5 8.03570- 4 3.20000+ 1 4.40000+ 1 1.86677- 5 8.04730- 4 3.30000+ 1 3.30000+ 1 1.42203- 3 7.91410- 4 3.30000+ 1 4.10000+ 1 3.94041- 3 7.99060- 4 3.30000+ 1 4.30000+ 1 2.29978- 5 8.05960- 4 3.30000+ 1 4.40000+ 1 3.83306- 5 8.07120- 4 4.10000+ 1 4.10000+ 1 1.74351- 4 8.06710- 4 4.10000+ 1 4.30000+ 1 2.09222- 5 8.13610- 4 4.10000+ 1 4.40000+ 1 2.44094- 5 8.14770- 4 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 9.02713- 4 3.07620- 4 2.70000+ 1 1.98150- 4 5.74810- 4 3.20000+ 1 3.24862- 5 6.91570- 4 4.10000+ 1 2.30728- 5 7.01610- 4 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 1.46227- 2 1.46200- 5 1.90000+ 1 3.00000+ 1 2.00622- 2 3.56900- 5 1.90000+ 1 3.20000+ 1 6.28206- 3 9.12500- 5 1.90000+ 1 3.30000+ 1 9.67803- 3 9.36400- 5 1.90000+ 1 4.10000+ 1 1.43186- 3 1.01290- 4 1.90000+ 1 4.30000+ 1 1.32927- 4 1.08190- 4 1.90000+ 1 4.40000+ 1 1.17315- 4 1.09350- 4 2.10000+ 1 2.40000+ 1 1.38055- 1 1.74670- 4 2.10000+ 1 2.50000+ 1 3.05382- 1 1.79460- 4 2.10000+ 1 2.70000+ 1 3.81329- 2 1.68460- 4 2.10000+ 1 2.90000+ 1 2.95459- 2 2.08590- 4 2.10000+ 1 3.00000+ 1 4.25193- 2 2.29660- 4 2.10000+ 1 3.20000+ 1 1.87881- 2 2.85220- 4 2.10000+ 1 3.30000+ 1 3.06935- 2 2.87610- 4 2.10000+ 1 4.10000+ 1 3.89186- 3 2.95260- 4 2.10000+ 1 4.30000+ 1 2.46460- 4 3.02160- 4 2.10000+ 1 4.40000+ 1 2.83652- 4 3.03320- 4 2.20000+ 1 2.40000+ 1 4.47478- 2 1.95890- 4 2.20000+ 1 2.50000+ 1 1.14388- 2 2.00680- 4 2.20000+ 1 2.70000+ 1 6.29794- 3 1.89680- 4 2.20000+ 1 2.90000+ 1 2.57119- 2 2.29810- 4 2.20000+ 1 3.00000+ 1 5.52167- 3 2.50880- 4 2.20000+ 1 3.20000+ 1 2.34997- 3 3.06440- 4 2.20000+ 1 3.30000+ 1 2.02495- 3 3.08830- 4 2.20000+ 1 4.10000+ 1 5.08156- 4 3.16480- 4 2.20000+ 1 4.30000+ 1 1.71276- 4 3.23380- 4 2.20000+ 1 4.40000+ 1 3.20821- 5 3.24540- 4 2.40000+ 1 2.40000+ 1 2.79708- 3 4.48070- 4 2.40000+ 1 2.50000+ 1 1.81695- 2 4.52860- 4 2.40000+ 1 2.70000+ 1 4.66458- 3 4.41860- 4 2.40000+ 1 2.90000+ 1 1.98624- 2 4.81990- 4 2.40000+ 1 3.00000+ 1 3.76397- 3 5.03060- 4 2.40000+ 1 3.20000+ 1 4.24192- 3 5.58620- 4 2.40000+ 1 3.30000+ 1 2.11683- 3 5.61010- 4 2.40000+ 1 4.10000+ 1 4.78099- 4 5.68660- 4 2.40000+ 1 4.30000+ 1 1.31226- 4 5.75560- 4 2.40000+ 1 4.40000+ 1 2.34871- 5 5.76720- 4 2.50000+ 1 2.50000+ 1 8.85979- 4 4.57650- 4 2.50000+ 1 2.70000+ 1 3.08036- 3 4.46650- 4 2.50000+ 1 2.90000+ 1 3.64184- 2 4.86780- 4 2.50000+ 1 3.00000+ 1 2.18956- 3 5.07850- 4 2.50000+ 1 3.20000+ 1 9.82603- 3 5.63410- 4 2.50000+ 1 3.30000+ 1 8.09622- 4 5.65800- 4 2.50000+ 1 4.10000+ 1 2.52058- 4 5.73450- 4 2.50000+ 1 4.30000+ 1 2.36026- 4 5.80350- 4 2.50000+ 1 4.40000+ 1 1.30576- 5 5.81510- 4 2.70000+ 1 2.70000+ 1 8.77742- 4 4.35650- 4 2.70000+ 1 2.90000+ 1 1.21214- 2 4.75780- 4 2.70000+ 1 3.00000+ 1 2.21116- 3 4.96850- 4 2.70000+ 1 3.20000+ 1 2.33033- 3 5.52410- 4 2.70000+ 1 3.30000+ 1 1.58549- 3 5.54800- 4 2.70000+ 1 4.10000+ 1 1.45714- 4 5.62450- 4 2.70000+ 1 4.30000+ 1 7.86378- 5 5.69350- 4 2.70000+ 1 4.40000+ 1 1.38774- 5 5.70510- 4 2.90000+ 1 2.90000+ 1 1.31050- 2 5.15910- 4 2.90000+ 1 3.00000+ 1 3.46154- 2 5.36980- 4 2.90000+ 1 3.20000+ 1 1.96695- 2 5.92540- 4 2.90000+ 1 3.30000+ 1 3.23107- 2 5.94930- 4 2.90000+ 1 4.10000+ 1 2.16723- 3 6.02580- 4 2.90000+ 1 4.30000+ 1 2.02557- 4 6.09480- 4 2.90000+ 1 4.40000+ 1 2.35985- 4 6.10640- 4 3.00000+ 1 3.00000+ 1 1.31349- 3 5.58050- 4 3.00000+ 1 3.20000+ 1 4.36348- 3 6.13610- 4 3.00000+ 1 3.30000+ 1 1.64534- 3 6.16000- 4 3.00000+ 1 4.10000+ 1 2.87141- 4 6.23650- 4 3.00000+ 1 4.30000+ 1 2.25053- 4 6.30550- 4 3.00000+ 1 4.40000+ 1 1.55214- 5 6.31710- 4 3.20000+ 1 3.20000+ 1 1.76390- 4 6.69170- 4 3.20000+ 1 3.30000+ 1 3.18264- 4 6.71560- 4 3.20000+ 1 4.10000+ 1 5.79193- 5 6.79210- 4 3.20000+ 1 4.30000+ 1 1.95985- 5 6.86110- 4 3.20000+ 1 4.40000+ 1 4.38786- 6 6.87270- 4 3.30000+ 1 3.30000+ 1 4.75185- 5 6.73950- 4 3.30000+ 1 4.10000+ 1 3.12692- 5 6.81600- 4 3.30000+ 1 4.30000+ 1 3.34155- 5 6.88500- 4 3.30000+ 1 4.40000+ 1 1.53276- 6 6.89660- 4 4.10000+ 1 4.10000+ 1 8.57581- 7 6.89250- 4 4.10000+ 1 4.30000+ 1 1.20062- 6 6.96150- 4 4.10000+ 1 4.40000+ 1 1.71520- 7 6.97310- 4 4.30000+ 1 4.40000+ 1 1.71524- 7 7.04210- 4 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.60540- 5 1.93970- 4 2.20000+ 1 2.02434- 4 2.15190- 4 2.70000+ 1 1.69448- 4 4.61160- 4 3.20000+ 1 9.43067- 6 5.77920- 4 3.30000+ 1 5.41753- 5 5.80310- 4 4.10000+ 1 1.94975- 5 5.87960- 4 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 7.16114- 3 6.10200- 5 2.10000+ 1 2.50000+ 1 1.21560- 2 6.58100- 5 2.10000+ 1 2.70000+ 1 1.71652- 2 5.48100- 5 2.10000+ 1 2.90000+ 1 1.35648- 2 9.49400- 5 2.10000+ 1 3.00000+ 1 4.28792- 2 1.16010- 4 2.10000+ 1 3.20000+ 1 9.90889- 3 1.71570- 4 2.10000+ 1 3.30000+ 1 1.71012- 2 1.73960- 4 2.10000+ 1 4.10000+ 1 1.61484- 3 1.81610- 4 2.10000+ 1 4.30000+ 1 1.10732- 4 1.88510- 4 2.10000+ 1 4.40000+ 1 2.47767- 4 1.89670- 4 2.20000+ 1 2.40000+ 1 8.53124- 2 8.22400- 5 2.20000+ 1 2.50000+ 1 1.10524- 1 8.70300- 5 2.20000+ 1 2.70000+ 1 8.55358- 2 7.60300- 5 2.20000+ 1 2.90000+ 1 9.20681- 2 1.16160- 4 2.20000+ 1 3.00000+ 1 1.15072- 1 1.37230- 4 2.20000+ 1 3.20000+ 1 7.63925- 2 1.92790- 4 2.20000+ 1 3.30000+ 1 8.77129- 2 1.95180- 4 2.20000+ 1 4.10000+ 1 8.95272- 3 2.02830- 4 2.20000+ 1 4.30000+ 1 7.71746- 4 2.09730- 4 2.20000+ 1 4.40000+ 1 7.25090- 4 2.10890- 4 2.40000+ 1 2.40000+ 1 7.77656- 4 3.34420- 4 2.40000+ 1 2.50000+ 1 1.52394- 2 3.39210- 4 2.40000+ 1 2.70000+ 1 6.80301- 3 3.28210- 4 2.40000+ 1 2.90000+ 1 3.50460- 3 3.68340- 4 2.40000+ 1 3.00000+ 1 4.49547- 2 3.89410- 4 2.40000+ 1 3.20000+ 1 1.14178- 3 4.44970- 4 2.40000+ 1 3.30000+ 1 5.37474- 3 4.47360- 4 2.40000+ 1 4.10000+ 1 4.91187- 4 4.55010- 4 2.40000+ 1 4.30000+ 1 2.74506- 5 4.61910- 4 2.40000+ 1 4.40000+ 1 2.34211- 4 4.63070- 4 2.50000+ 1 2.50000+ 1 7.00690- 3 3.44000- 4 2.50000+ 1 2.70000+ 1 1.48926- 2 3.33000- 4 2.50000+ 1 2.90000+ 1 1.26245- 2 3.73130- 4 2.50000+ 1 3.00000+ 1 5.46950- 2 3.94200- 4 2.50000+ 1 3.20000+ 1 1.03970- 3 4.49760- 4 2.50000+ 1 3.30000+ 1 6.99741- 3 4.52150- 4 2.50000+ 1 4.10000+ 1 1.24554- 3 4.59800- 4 2.50000+ 1 4.30000+ 1 1.00875- 4 4.66700- 4 2.50000+ 1 4.40000+ 1 2.87193- 4 4.67860- 4 2.70000+ 1 2.70000+ 1 4.47321- 7 3.22000- 4 2.70000+ 1 2.90000+ 1 2.53187- 4 3.62130- 4 2.70000+ 1 3.00000+ 1 5.33466- 3 3.83200- 4 2.70000+ 1 3.20000+ 1 4.02133- 4 4.38760- 4 2.70000+ 1 3.30000+ 1 7.26887- 4 4.41150- 4 2.70000+ 1 4.10000+ 1 1.78935- 6 4.48800- 4 2.70000+ 1 4.30000+ 1 1.78935- 6 4.55700- 4 2.70000+ 1 4.40000+ 1 2.72876- 5 4.56860- 4 2.90000+ 1 2.90000+ 1 1.05362- 5 4.02260- 4 2.90000+ 1 3.00000+ 1 5.11653- 3 4.23330- 4 2.90000+ 1 3.20000+ 1 1.93307- 4 4.78890- 4 2.90000+ 1 3.30000+ 1 6.27702- 4 4.81280- 4 2.90000+ 1 4.10000+ 1 2.06665- 5 4.88930- 4 2.90000+ 1 4.40000+ 1 2.67444- 5 4.96990- 4 3.00000+ 1 3.00000+ 1 7.69616- 3 4.44400- 4 3.00000+ 1 3.20000+ 1 6.49555- 3 4.99960- 4 3.00000+ 1 3.30000+ 1 8.48748- 3 5.02350- 4 3.00000+ 1 4.10000+ 1 5.99827- 4 5.10000- 4 3.00000+ 1 4.30000+ 1 5.27852- 5 5.16900- 4 3.00000+ 1 4.40000+ 1 9.21341- 5 5.18060- 4 3.20000+ 1 3.20000+ 1 6.50170- 5 5.55520- 4 3.20000+ 1 3.30000+ 1 3.97096- 4 5.57910- 4 3.20000+ 1 4.10000+ 1 2.04085- 5 5.65560- 4 3.20000+ 1 4.30000+ 1 1.16626- 6 5.72460- 4 3.20000+ 1 4.40000+ 1 2.07011- 5 5.73620- 4 3.30000+ 1 3.30000+ 1 3.60945- 4 5.60300- 4 3.30000+ 1 4.10000+ 1 4.72309- 5 5.67950- 4 3.30000+ 1 4.30000+ 1 3.49862- 6 5.74850- 4 3.30000+ 1 4.40000+ 1 2.71144- 5 5.76010- 4 4.10000+ 1 4.40000+ 1 1.74929- 6 5.83660- 4 4.30000+ 1 4.40000+ 1 2.91559- 7 5.90560- 4 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.24460- 4 2.73400- 4 2.90000+ 1 5.31301- 5 3.07320- 4 3.00000+ 1 7.04031- 6 3.28390- 4 4.30000+ 1 3.68711- 7 4.00890- 4 4.40000+ 1 3.56241- 8 4.02050- 4 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.20000+ 1 2.79853- 2 0.00000+ 0 2.20000+ 1 3.30000+ 1 5.28696- 3 1.21000- 6 2.20000+ 1 4.10000+ 1 7.10963- 4 8.86000- 6 2.20000+ 1 4.30000+ 1 3.19747- 5 1.57600- 5 2.20000+ 1 4.40000+ 1 6.88458- 5 1.69200- 5 2.40000+ 1 2.40000+ 1 1.15286- 1 1.40450- 4 2.40000+ 1 2.50000+ 1 3.68474- 1 1.45240- 4 2.40000+ 1 2.70000+ 1 6.91243- 2 1.34240- 4 2.40000+ 1 2.90000+ 1 5.75927- 2 1.74370- 4 2.40000+ 1 3.00000+ 1 7.89173- 2 1.95440- 4 2.40000+ 1 3.20000+ 1 6.45195- 2 2.51000- 4 2.40000+ 1 3.30000+ 1 6.41583- 2 2.53390- 4 2.40000+ 1 4.10000+ 1 7.14432- 3 2.61040- 4 2.40000+ 1 4.30000+ 1 4.97674- 4 2.67940- 4 2.40000+ 1 4.40000+ 1 5.16951- 4 2.69100- 4 2.50000+ 1 2.50000+ 1 4.85042- 3 1.50030- 4 2.50000+ 1 2.70000+ 1 6.14218- 3 1.39030- 4 2.50000+ 1 2.90000+ 1 1.21204- 2 1.79160- 4 2.50000+ 1 3.00000+ 1 5.15869- 3 2.00230- 4 2.50000+ 1 3.20000+ 1 7.07982- 2 2.55790- 4 2.50000+ 1 3.30000+ 1 2.76539- 3 2.58180- 4 2.50000+ 1 4.10000+ 1 4.87489- 4 2.65830- 4 2.50000+ 1 4.30000+ 1 7.79852- 5 2.72730- 4 2.50000+ 1 4.40000+ 1 2.93666- 5 2.73890- 4 2.70000+ 1 2.70000+ 1 7.85014- 4 1.28030- 4 2.70000+ 1 2.90000+ 1 1.59867- 3 1.68160- 4 2.70000+ 1 3.00000+ 1 1.49828- 3 1.89230- 4 2.70000+ 1 3.20000+ 1 6.31352- 3 2.44790- 4 2.70000+ 1 3.30000+ 1 1.82294- 3 2.47180- 4 2.70000+ 1 4.10000+ 1 9.39677- 5 2.54830- 4 2.70000+ 1 4.30000+ 1 9.78856- 6 2.61730- 4 2.70000+ 1 4.40000+ 1 7.83063- 6 2.62890- 4 2.90000+ 1 2.90000+ 1 3.03118- 4 2.08290- 4 2.90000+ 1 3.00000+ 1 1.64743- 3 2.29360- 4 2.90000+ 1 3.20000+ 1 3.57206- 3 2.84920- 4 2.90000+ 1 3.30000+ 1 5.95136- 4 2.87310- 4 2.90000+ 1 4.10000+ 1 6.75401- 5 2.94960- 4 2.90000+ 1 4.30000+ 1 3.58915- 6 3.01860- 4 2.90000+ 1 4.40000+ 1 7.83075- 6 3.03020- 4 3.00000+ 1 3.00000+ 1 6.57780- 4 2.50430- 4 3.00000+ 1 3.20000+ 1 7.11820- 3 3.05990- 4 3.00000+ 1 3.30000+ 1 6.23526- 4 3.08380- 4 3.00000+ 1 4.10000+ 1 4.43744- 5 3.16030- 4 3.00000+ 1 4.30000+ 1 8.15708- 6 3.22930- 4 3.00000+ 1 4.40000+ 1 5.87302- 6 3.24090- 4 3.20000+ 1 3.20000+ 1 3.23428- 3 3.61550- 4 3.20000+ 1 3.30000+ 1 6.23304- 3 3.63940- 4 3.20000+ 1 4.10000+ 1 4.70649- 4 3.71590- 4 3.20000+ 1 4.30000+ 1 3.07583- 5 3.78490- 4 3.20000+ 1 4.40000+ 1 4.72952- 5 3.79650- 4 3.30000+ 1 3.30000+ 1 1.24193- 4 3.66330- 4 3.30000+ 1 4.10000+ 1 3.64909- 5 3.73980- 4 3.30000+ 1 4.30000+ 1 2.00859- 6 3.80880- 4 3.30000+ 1 4.40000+ 1 3.34775- 6 3.82040- 4 4.10000+ 1 4.10000+ 1 1.95764- 6 3.81630- 4 4.10000+ 1 4.30000+ 1 3.26283- 7 3.88530- 4 4.10000+ 1 4.40000+ 1 3.26283- 7 3.89690- 4 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 9.79450- 6 2.52180- 4 2.50000+ 1 2.10560- 4 2.56970- 4 3.00000+ 1 4.83430- 5 3.07170- 4 4.40000+ 1 2.56990- 7 3.80830- 4 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 6.81135- 3 1.19230- 4 2.40000+ 1 2.50000+ 1 2.31924- 1 1.24020- 4 2.40000+ 1 2.70000+ 1 9.30958- 3 1.13020- 4 2.40000+ 1 2.90000+ 1 5.85321- 3 1.53150- 4 2.40000+ 1 3.00000+ 1 1.27422- 2 1.74220- 4 2.40000+ 1 3.20000+ 1 3.95064- 3 2.29780- 4 2.40000+ 1 3.30000+ 1 6.49457- 2 2.32170- 4 2.40000+ 1 4.10000+ 1 8.32234- 4 2.39820- 4 2.40000+ 1 4.30000+ 1 4.81159- 5 2.46720- 4 2.40000+ 1 4.40000+ 1 7.25492- 5 2.47880- 4 2.50000+ 1 2.50000+ 1 1.89078- 1 1.28810- 4 2.50000+ 1 2.70000+ 1 7.75100- 2 1.17810- 4 2.50000+ 1 2.90000+ 1 8.09478- 2 1.57940- 4 2.50000+ 1 3.00000+ 1 8.20097- 2 1.79010- 4 2.50000+ 1 3.20000+ 1 6.14121- 2 2.34570- 4 2.50000+ 1 3.30000+ 1 1.15323- 1 2.36960- 4 2.50000+ 1 4.10000+ 1 8.06638- 3 2.44610- 4 2.50000+ 1 4.30000+ 1 6.74367- 4 2.51510- 4 2.50000+ 1 4.40000+ 1 5.38296- 4 2.52670- 4 2.70000+ 1 2.70000+ 1 1.39873- 3 1.06810- 4 2.70000+ 1 2.90000+ 1 1.60783- 3 1.46940- 4 2.70000+ 1 3.00000+ 1 3.22154- 3 1.68010- 4 2.70000+ 1 3.20000+ 1 2.32649- 3 2.23570- 4 2.70000+ 1 3.30000+ 1 8.72258- 3 2.25960- 4 2.70000+ 1 4.10000+ 1 1.62772- 4 2.33610- 4 2.70000+ 1 4.30000+ 1 1.01495- 5 2.40510- 4 2.70000+ 1 4.40000+ 1 1.69162- 5 2.41670- 4 2.90000+ 1 2.90000+ 1 1.93207- 4 1.87070- 4 2.90000+ 1 3.00000+ 1 2.70382- 3 2.08140- 4 2.90000+ 1 3.20000+ 1 2.87190- 4 2.63700- 4 2.90000+ 1 3.30000+ 1 5.57693- 3 2.66090- 4 2.90000+ 1 4.10000+ 1 6.16478- 5 2.73740- 4 2.90000+ 1 4.30000+ 1 2.25534- 6 2.80640- 4 2.90000+ 1 4.40000+ 1 1.31561- 5 2.81800- 4 3.00000+ 1 3.00000+ 1 9.45398- 4 2.29210- 4 3.00000+ 1 3.20000+ 1 9.28099- 4 2.84770- 4 3.00000+ 1 3.30000+ 1 7.50331- 3 2.87160- 4 3.00000+ 1 4.10000+ 1 8.87122- 5 2.94810- 4 3.00000+ 1 4.30000+ 1 1.20292- 5 3.01710- 4 3.00000+ 1 4.40000+ 1 8.64573- 6 3.02870- 4 3.20000+ 1 3.20000+ 1 6.84139- 5 3.40330- 4 3.20000+ 1 3.30000+ 1 5.33858- 3 3.42720- 4 3.20000+ 1 4.10000+ 1 4.66112- 5 3.50370- 4 3.20000+ 1 4.30000+ 1 1.87948- 6 3.57270- 4 3.20000+ 1 4.40000+ 1 4.51083- 6 3.58430- 4 3.30000+ 1 3.30000+ 1 5.77304- 3 3.45110- 4 3.30000+ 1 4.10000+ 1 5.57455- 4 3.52760- 4 3.30000+ 1 4.30000+ 1 4.54842- 5 3.59660- 4 3.30000+ 1 4.40000+ 1 4.96189- 5 3.60820- 4 4.10000+ 1 4.10000+ 1 3.38319- 6 3.60410- 4 4.10000+ 1 4.30000+ 1 3.75907- 7 3.67310- 4 4.10000+ 1 4.40000+ 1 3.75907- 7 3.68470- 4 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20191- 6 1.10550- 4 3.30000+ 1 2.12893- 7 1.12940- 4 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 1.08924- 1 1.15200- 5 2.90000+ 1 3.30000+ 1 6.94136- 2 1.39100- 5 2.90000+ 1 4.10000+ 1 9.93297- 3 2.15600- 5 2.90000+ 1 4.30000+ 1 2.22042- 3 2.84600- 5 2.90000+ 1 4.40000+ 1 1.84880- 3 2.96200- 5 3.00000+ 1 3.20000+ 1 1.57951- 1 3.25900- 5 3.00000+ 1 3.30000+ 1 3.45541- 2 3.49800- 5 3.00000+ 1 4.10000+ 1 4.69833- 3 4.26300- 5 3.00000+ 1 4.30000+ 1 8.24059- 4 4.95300- 5 3.00000+ 1 4.40000+ 1 3.22042- 4 5.06900- 5 3.20000+ 1 3.20000+ 1 2.33873- 1 8.81500- 5 3.20000+ 1 3.30000+ 1 3.37595- 1 9.05400- 5 3.20000+ 1 4.10000+ 1 1.19911- 2 9.81900- 5 3.20000+ 1 4.30000+ 1 1.54387- 3 1.05090- 4 3.20000+ 1 4.40000+ 1 1.32604- 3 1.06250- 4 3.30000+ 1 3.30000+ 1 2.07146- 2 9.29300- 5 3.30000+ 1 4.10000+ 1 1.31651- 3 1.00580- 4 3.30000+ 1 4.30000+ 1 6.25135- 4 1.07480- 4 3.30000+ 1 4.40000+ 1 2.74683- 4 1.08640- 4 4.10000+ 1 4.30000+ 1 2.84151- 5 1.15130- 4 4.10000+ 1 4.40000+ 1 1.89438- 5 1.16290- 4 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 3.08379- 6 1.08150- 4 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 1.37055- 2 6.73000- 6 2.90000+ 1 3.30000+ 1 8.17800- 2 9.12000- 6 2.90000+ 1 4.10000+ 1 1.02082- 3 1.67700- 5 2.90000+ 1 4.30000+ 1 3.03226- 5 2.36700- 5 2.90000+ 1 4.40000+ 1 2.83012- 4 2.48300- 5 3.00000+ 1 3.20000+ 1 4.79813- 2 2.78000- 5 3.00000+ 1 3.30000+ 1 2.07574- 1 3.01900- 5 3.00000+ 1 4.10000+ 1 1.33827- 2 3.78400- 5 3.00000+ 1 4.30000+ 1 1.67789- 3 4.47400- 5 3.00000+ 1 4.40000+ 1 1.20277- 3 4.59000- 5 3.20000+ 1 3.20000+ 1 1.04230- 2 8.33600- 5 3.20000+ 1 3.30000+ 1 2.62289- 1 8.57500- 5 3.20000+ 1 4.10000+ 1 8.90432- 4 9.34000- 5 3.20000+ 1 4.30000+ 1 1.15233- 4 1.00300- 4 3.20000+ 1 4.40000+ 1 4.71417- 4 1.01460- 4 3.30000+ 1 3.30000+ 1 3.40320- 1 8.81400- 5 3.30000+ 1 4.10000+ 1 1.36452- 2 9.57900- 5 3.30000+ 1 4.30000+ 1 1.21287- 3 1.02690- 4 3.30000+ 1 4.40000+ 1 1.95084- 3 1.03850- 4 4.10000+ 1 4.30000+ 1 1.01072- 5 1.10340- 4 4.10000+ 1 4.40000+ 1 3.03226- 5 1.11500- 4 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 9.86223- 7 4.01300- 5 3.00000+ 1 7.17726- 6 6.12000- 5 4.30000+ 1 2.81530- 8 1.33700- 4 4.40000+ 1 3.14645-10 1.34860- 4 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 5.55416- 2 1.77300- 5 2.90000+ 1 3.30000+ 1 1.61263- 1 2.01200- 5 2.90000+ 1 4.10000+ 1 9.83932- 3 2.77700- 5 2.90000+ 1 4.30000+ 1 4.73060- 4 3.46700- 5 2.90000+ 1 4.40000+ 1 9.91635- 4 3.58300- 5 3.00000+ 1 3.20000+ 1 3.14388- 1 3.88000- 5 3.00000+ 1 3.30000+ 1 2.94167- 1 4.11900- 5 3.00000+ 1 4.10000+ 1 1.63309- 2 4.88400- 5 3.00000+ 1 4.30000+ 1 1.49683- 3 5.57400- 5 3.00000+ 1 4.40000+ 1 1.25376- 3 5.69000- 5 3.20000+ 1 3.20000+ 1 2.31666- 3 9.43600- 5 3.20000+ 1 3.30000+ 1 1.08492- 1 9.67500- 5 3.20000+ 1 4.10000+ 1 7.26471- 3 1.04400- 4 3.20000+ 1 4.30000+ 1 7.54294- 5 1.11300- 4 3.20000+ 1 4.40000+ 1 6.20654- 4 1.12460- 4 3.30000+ 1 3.30000+ 1 1.43621- 2 9.91400- 5 3.30000+ 1 4.10000+ 1 5.05398- 3 1.06790- 4 3.30000+ 1 4.30000+ 1 2.01990- 4 1.13690- 4 3.30000+ 1 4.40000+ 1 2.02807- 4 1.14850- 4 4.10000+ 1 4.10000+ 1 3.81121- 3 1.14440- 4 4.10000+ 1 4.30000+ 1 4.32514- 4 1.21340- 4 4.10000+ 1 4.40000+ 1 5.65444- 4 1.22500- 4 4.30000+ 1 4.40000+ 1 8.47365- 4 1.29400- 4 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.57725- 6 7.66300- 5 4.10000+ 1 2.68329- 7 8.66700- 5 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.20000+ 1 9.44001- 2 0.00000+ 0 3.00000+ 1 3.30000+ 1 2.21872- 2 1.06000- 6 3.00000+ 1 4.10000+ 1 3.94914- 3 8.71000- 6 3.00000+ 1 4.30000+ 1 1.12657- 3 1.56100- 5 3.00000+ 1 4.40000+ 1 1.02768- 3 1.67700- 5 3.20000+ 1 3.20000+ 1 1.52361- 1 5.42300- 5 3.20000+ 1 3.30000+ 1 6.65579- 1 5.66200- 5 3.20000+ 1 4.10000+ 1 2.71697- 2 6.42700- 5 3.20000+ 1 4.30000+ 1 1.91385- 3 7.11700- 5 3.20000+ 1 4.40000+ 1 2.81032- 3 7.23300- 5 3.30000+ 1 3.30000+ 1 2.30666- 2 5.90100- 5 3.30000+ 1 4.10000+ 1 2.27004- 3 6.66600- 5 3.30000+ 1 4.30000+ 1 1.68374- 3 7.35600- 5 3.30000+ 1 4.40000+ 1 3.09750- 4 7.47200- 5 4.10000+ 1 4.10000+ 1 5.03979- 6 7.43100- 5 4.10000+ 1 4.30000+ 1 1.10281- 4 8.12100- 5 4.10000+ 1 4.40000+ 1 1.42300- 5 8.23700- 5 4.30000+ 1 4.40000+ 1 1.12651- 5 8.92700- 5 1 81000 0 7 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 6.59445- 8 5.55600- 5 3.30000+ 1 6.70845- 7 5.79500- 5 4.10000+ 1 1.00221- 7 6.56000- 5 1 81000 0 9 2.04370+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 2.56195- 2 3.31600- 5 3.20000+ 1 3.30000+ 1 5.67330- 1 3.55500- 5 3.20000+ 1 4.10000+ 1 1.02142- 2 4.32000- 5 3.20000+ 1 4.30000+ 1 3.67746- 4 5.01000- 5 3.20000+ 1 4.40000+ 1 1.22342- 3 5.12600- 5 3.30000+ 1 3.30000+ 1 3.53734- 1 3.79400- 5 3.30000+ 1 4.10000+ 1 3.53824- 2 4.55900- 5 3.30000+ 1 4.30000+ 1 2.71984- 3 5.24900- 5 3.30000+ 1 4.40000+ 1 2.96694- 3 5.36500- 5 4.10000+ 1 4.10000+ 1 2.56313- 4 5.32400- 5 4.10000+ 1 4.30000+ 1 4.21685- 5 6.01400- 5 4.10000+ 1 4.40000+ 1 1.34762- 4 6.13000- 5 4.30000+ 1 4.40000+ 1 8.24566- 6 6.82000- 5 1 82000 0 0 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 6.70000- 1 4.40000+ 1 1.33000+ 0 1 82000 0 0 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.82900- 2 3.00000+ 0 1.58470- 2 5.00000+ 0 1.52510- 2 6.00000+ 0 1.30400- 2 8.00000+ 0 3.82430- 3 1.00000+ 1 3.54930- 3 1.10000+ 1 3.05460- 3 1.30000+ 1 2.59470- 3 1.40000+ 1 2.48900- 3 1.60000+ 1 8.76720- 4 1.80000+ 1 7.56020- 4 1.90000+ 1 6.34300- 4 2.10000+ 1 4.35230- 4 2.20000+ 1 4.12490- 4 2.40000+ 1 1.53040- 4 2.50000+ 1 1.47810- 4 2.70000+ 1 1.52830- 4 2.90000+ 1 1.10910- 4 3.00000+ 1 8.76400- 5 3.20000+ 1 2.88100- 5 3.30000+ 1 2.60300- 5 4.10000+ 1 1.50500- 5 4.30000+ 1 7.00000- 6 4.40000+ 1 5.29000- 6 1 82000 0 0 2.07200+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.24620- 1 3.00000+ 0 3.00760- 2 5.00000+ 0 3.00610- 2 6.00000+ 0 2.13960- 2 8.00000+ 0 9.60740- 3 1.00000+ 1 9.48780- 3 1.10000+ 1 7.33250- 3 1.30000+ 1 7.18360- 3 1.40000+ 1 6.73600- 3 1.60000+ 1 3.18880- 3 1.80000+ 1 3.05550- 3 1.90000+ 1 2.40390- 3 2.10000+ 1 2.17990- 3 2.20000+ 1 2.04860- 3 2.40000+ 1 1.67640- 3 2.50000+ 1 1.63240- 3 2.70000+ 1 8.46340- 4 2.90000+ 1 7.39650- 4 3.00000+ 1 5.71480- 4 3.20000+ 1 3.69220- 4 3.30000+ 1 3.40320- 4 4.10000+ 1 1.28190- 4 4.30000+ 1 7.37700- 5 4.40000+ 1 4.67900- 5 1 82000 0 0 2.07200+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.48390-11 3.00000+ 0 3.53180-10 5.00000+ 0 2.89310-10 6.00000+ 0 3.36460-10 8.00000+ 0 9.17130-10 1.00000+ 1 8.65770-10 1.10000+ 1 9.51500-10 1.30000+ 1 8.25610-10 1.40000+ 1 8.51480-10 1.60000+ 1 2.02120- 9 1.80000+ 1 2.02420- 9 1.90000+ 1 2.20460- 9 2.10000+ 1 2.22270- 9 2.20000+ 1 2.27990- 9 2.40000+ 1 2.33740- 9 2.50000+ 1 2.36910- 9 2.70000+ 1 4.46790- 9 2.90000+ 1 4.75750- 9 3.00000+ 1 5.22860- 9 3.20000+ 1 6.51060- 9 3.30000+ 1 6.73850- 9 4.10000+ 1 1.17280- 8 4.30000+ 1 1.52380- 8 4.40000+ 1 1.82810- 8 1 82000 0 0 2.07200+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.72040- 5 3.00000+ 0 1.34930- 6 5.00000+ 0 2.37750- 6 6.00000+ 0 2.05900- 6 8.00000+ 0 5.23620- 8 1.00000+ 1 5.86020- 8 1.10000+ 1 6.33330- 8 1.30000+ 1 7.99380- 8 1.40000+ 1 7.46860- 8 1.60000+ 1 2.01950- 9 1.80000+ 1 3.06990- 9 1.90000+ 1 1.96390- 9 2.10000+ 1 1.87220- 9 2.20000+ 1 1.55470- 9 2.40000+ 1 2.27150-11 2.50000+ 1 2.06350-11 2.70000+ 1 1.12880-10 2.90000+ 1 2.33030-10 3.00000+ 1 1.30750-10 1 82000 0 0 2.07200+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.12540- 6 3.00000+ 0 1.25040- 5 5.00000+ 0 3.52370- 6 6.00000+ 0 3.82220- 6 8.00000+ 0 1.91500- 5 1.00000+ 1 1.32650- 5 1.10000+ 1 1.05210- 5 1.30000+ 1 2.43190- 6 1.40000+ 1 2.40510- 6 1.60000+ 1 1.53060- 5 1.80000+ 1 1.39580- 5 1.90000+ 1 9.13710- 6 2.10000+ 1 7.80070- 6 2.20000+ 1 7.14240- 6 2.40000+ 1 2.56000- 7 2.50000+ 1 2.32040- 7 2.70000+ 1 2.61940- 5 2.90000+ 1 8.00390- 6 3.00000+ 1 1.33670- 5 1 82000 0 0 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.12752- 4 3.00000+ 0 4.46211- 4 5.00000+ 0 3.20830- 4 6.00000+ 0 3.14694- 4 8.00000+ 0 3.18632- 4 1.00000+ 1 2.75998- 4 1.10000+ 1 2.45307- 4 1.30000+ 1 1.87761- 4 1.40000+ 1 1.82575- 4 1.60000+ 1 1.73940- 4 1.80000+ 1 1.60905- 4 1.90000+ 1 1.53924- 4 2.10000+ 1 1.17685- 4 2.20000+ 1 1.13718- 4 2.40000+ 1 6.55754- 5 2.50000+ 1 6.29147- 5 2.70000+ 1 7.58069- 5 2.90000+ 1 5.58260- 5 3.00000+ 1 5.29838- 5 3.20000+ 1 2.88100- 5 3.30000+ 1 2.60300- 5 4.10000+ 1 1.50500- 5 4.30000+ 1 7.00000- 6 4.40000+ 1 5.29000- 6 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.32323+ 0 3.00000+ 0 4.37397- 1 5.00000+ 0 4.93266- 1 6.00000+ 0 4.00810- 1 8.00000+ 0 3.58669- 2 1.00000+ 1 3.57448- 2 1.10000+ 1 3.34781- 2 1.30000+ 1 3.83113- 2 1.40000+ 1 3.58965- 2 1.60000+ 1 1.21157- 3 1.80000+ 1 1.46991- 3 1.90000+ 1 7.40627- 4 2.10000+ 1 3.34850- 4 2.20000+ 1 3.04091- 4 2.40000+ 1 6.53010- 6 2.50000+ 1 5.60552- 6 2.70000+ 1 1.11244- 5 2.90000+ 1 5.31784- 6 3.00000+ 1 1.12580- 6 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.76695- 2 3.00000+ 0 4.42345- 3 5.00000+ 0 5.84013- 3 6.00000+ 0 3.93797- 3 8.00000+ 0 8.58594- 5 1.00000+ 1 8.58448- 5 1.10000+ 1 7.86049- 5 1.30000+ 1 9.09345- 5 1.40000+ 1 8.23416- 5 1.60000+ 1 5.08657- 7 1.80000+ 1 5.47321- 7 1.90000+ 1 2.60464- 7 2.10000+ 1 9.58533- 8 2.20000+ 1 8.22334- 8 2.40000+ 1 7.52864-10 2.50000+ 1 6.41264-10 2.70000+ 1 7.25708-10 2.90000+ 1 4.40087-10 3.00000+ 1 7.07486-11 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.07478+ 1 3.00000+ 0 1.57658+ 1 5.00000+ 0 1.10309+ 1 6.00000+ 0 1.08311+ 1 8.00000+ 0 1.09768+ 1 1.00000+ 1 9.35085+ 0 1.10000+ 1 8.22669+ 0 1.30000+ 1 6.02196+ 0 1.40000+ 1 5.87614+ 0 1.60000+ 1 5.55415+ 0 1.80000+ 1 5.03021+ 0 1.90000+ 1 4.80149+ 0 2.10000+ 1 3.38629+ 0 2.20000+ 1 3.29378+ 0 2.40000+ 1 1.41674+ 0 2.50000+ 1 1.39229+ 0 2.70000+ 1 1.85988+ 0 2.90000+ 1 1.08307+ 0 3.00000+ 1 9.99999- 1 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.03077- 2 3.00000+ 0 1.09773- 2 5.00000+ 0 9.09004- 3 6.00000+ 0 8.78734- 3 8.00000+ 0 3.41981- 3 1.00000+ 1 3.18746- 3 1.10000+ 1 2.73069- 3 1.30000+ 1 2.31600- 3 1.40000+ 1 2.22408- 3 1.60000+ 1 7.02272- 4 1.80000+ 1 5.94568- 4 1.90000+ 1 4.80116- 4 2.10000+ 1 3.17449- 4 2.20000+ 1 2.98690- 4 2.40000+ 1 8.74638- 5 2.50000+ 1 8.48946- 5 2.70000+ 1 7.70224- 5 2.90000+ 1 5.50835- 5 3.00000+ 1 3.46561- 5 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.82159- 1 7.30390- 2 6.00000+ 0 4.73888- 1 7.52500- 2 1.00000+ 1 5.27888- 2 8.47407- 2 1.10000+ 1 1.02250- 1 8.52354- 2 1.30000+ 1 1.43899- 3 8.56953- 2 1.40000+ 1 1.74159- 3 8.58010- 2 1.80000+ 1 1.25889- 2 8.75340- 2 1.90000+ 1 2.47379- 2 8.76557- 2 2.10000+ 1 3.82558- 4 8.78548- 2 2.20000+ 1 4.62298- 4 8.78775- 2 2.90000+ 1 2.92719- 3 8.81791- 2 3.00000+ 1 5.67158- 3 8.82024- 2 3.20000+ 1 4.95638- 5 8.82612- 2 3.30000+ 1 5.79148- 5 8.82640- 2 4.30000+ 1 6.57457- 5 8.82830- 2 4.40000+ 1 1.00830- 4 8.82847- 2 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.17498- 3 5.65960- 2 3.00000+ 0 5.00000+ 0 6.68324- 3 5.71920- 2 3.00000+ 0 6.00000+ 0 3.61246- 3 5.94030- 2 3.00000+ 0 8.00000+ 0 1.68714- 3 6.86187- 2 3.00000+ 0 1.00000+ 1 1.44411- 3 6.88937- 2 3.00000+ 0 1.10000+ 1 8.48931- 4 6.93884- 2 3.00000+ 0 1.30000+ 1 7.17231- 5 6.98483- 2 3.00000+ 0 1.40000+ 1 5.30003- 5 6.99540- 2 3.00000+ 0 1.60000+ 1 4.24886- 4 7.15663- 2 3.00000+ 0 1.80000+ 1 3.55435- 4 7.16870- 2 3.00000+ 0 1.90000+ 1 2.08571- 4 7.18087- 2 3.00000+ 0 2.10000+ 1 1.89204- 5 7.20078- 2 3.00000+ 0 2.20000+ 1 1.37704- 5 7.20305- 2 3.00000+ 0 2.40000+ 1 4.95342- 8 7.22900- 2 3.00000+ 0 2.50000+ 1 4.95342- 8 7.22952- 2 3.00000+ 0 2.70000+ 1 9.08435- 5 7.22902- 2 3.00000+ 0 2.90000+ 1 6.82064- 5 7.23321- 2 3.00000+ 0 3.00000+ 1 3.86348- 5 7.23554- 2 3.00000+ 0 3.20000+ 1 2.32798- 6 7.24142- 2 3.00000+ 0 3.30000+ 1 1.63454- 6 7.24170- 2 5.00000+ 0 5.00000+ 0 3.54949- 4 5.77880- 2 5.00000+ 0 6.00000+ 0 6.34745- 3 5.99990- 2 5.00000+ 0 8.00000+ 0 1.17280- 3 6.92147- 2 5.00000+ 0 1.00000+ 1 1.34626- 4 6.94897- 2 5.00000+ 0 1.10000+ 1 1.24743- 3 6.99844- 2 5.00000+ 0 1.30000+ 1 7.38544- 5 7.04443- 2 5.00000+ 0 1.40000+ 1 1.91851- 4 7.05500- 2 5.00000+ 0 1.60000+ 1 2.85995- 4 7.21623- 2 5.00000+ 0 1.80000+ 1 3.21962- 5 7.22830- 2 5.00000+ 0 1.90000+ 1 2.94128- 4 7.24047- 2 5.00000+ 0 2.10000+ 1 1.87239- 5 7.26038- 2 5.00000+ 0 2.20000+ 1 4.88376- 5 7.26265- 2 5.00000+ 0 2.40000+ 1 5.44866- 7 7.28860- 2 5.00000+ 0 2.50000+ 1 7.92518- 7 7.28912- 2 5.00000+ 0 2.70000+ 1 6.06769- 5 7.28862- 2 5.00000+ 0 2.90000+ 1 6.14201- 6 7.29281- 2 5.00000+ 0 3.00000+ 1 5.39909- 5 7.29514- 2 5.00000+ 0 3.20000+ 1 2.27852- 6 7.30102- 2 5.00000+ 0 3.30000+ 1 5.69623- 6 7.30130- 2 6.00000+ 0 6.00000+ 0 2.72418- 3 6.22100- 2 6.00000+ 0 8.00000+ 0 5.74896- 4 7.14257- 2 6.00000+ 0 1.00000+ 1 1.13078- 3 7.17007- 2 6.00000+ 0 1.10000+ 1 1.10615- 3 7.21954- 2 6.00000+ 0 1.30000+ 1 2.13032- 4 7.26553- 2 6.00000+ 0 1.40000+ 1 1.76935- 4 7.27610- 2 6.00000+ 0 1.60000+ 1 1.36959- 4 7.43733- 2 6.00000+ 0 1.80000+ 1 2.66790- 4 7.44940- 2 6.00000+ 0 1.90000+ 1 2.63118- 4 7.46157- 2 6.00000+ 0 2.10000+ 1 5.46337- 5 7.48148- 2 6.00000+ 0 2.20000+ 1 4.52248- 5 7.48375- 2 6.00000+ 0 2.40000+ 1 8.91568- 7 7.50970- 2 6.00000+ 0 2.50000+ 1 9.41135- 7 7.51022- 2 6.00000+ 0 2.70000+ 1 2.88781- 5 7.50972- 2 6.00000+ 0 2.90000+ 1 5.07226- 5 7.51391- 2 6.00000+ 0 3.00000+ 1 4.83928- 5 7.51624- 2 6.00000+ 0 3.20000+ 1 6.63726- 6 7.52212- 2 6.00000+ 0 3.30000+ 1 5.30006- 6 7.52240- 2 8.00000+ 0 8.00000+ 0 1.67667- 4 8.06414- 2 8.00000+ 0 1.00000+ 1 2.53904- 4 8.09164- 2 8.00000+ 0 1.10000+ 1 1.36214- 4 8.14111- 2 8.00000+ 0 1.30000+ 1 1.11944- 5 8.18710- 2 8.00000+ 0 1.40000+ 1 7.77667- 6 8.19767- 2 8.00000+ 0 1.60000+ 1 8.41578- 5 8.35890- 2 8.00000+ 0 1.80000+ 1 6.25618- 5 8.37097- 2 8.00000+ 0 1.90000+ 1 3.35345- 5 8.38314- 2 8.00000+ 0 2.10000+ 1 2.97185- 6 8.40305- 2 8.00000+ 0 2.20000+ 1 2.03074- 6 8.40532- 2 8.00000+ 0 2.70000+ 1 1.79808- 5 8.43129- 2 8.00000+ 0 2.90000+ 1 1.19872- 5 8.43548- 2 8.00000+ 0 3.00000+ 1 6.19149- 6 8.43781- 2 8.00000+ 0 3.20000+ 1 3.46719- 7 8.44369- 2 8.00000+ 0 3.30000+ 1 2.47661- 7 8.44397- 2 1.00000+ 1 1.00000+ 1 1.23824- 5 8.11914- 2 1.00000+ 1 1.10000+ 1 2.28681- 4 8.16861- 2 1.00000+ 1 1.30000+ 1 1.14913- 5 8.21460- 2 1.00000+ 1 1.40000+ 1 2.57574- 5 8.22517- 2 1.00000+ 1 1.60000+ 1 6.19143- 5 8.38640- 2 1.00000+ 1 1.80000+ 1 5.89427- 6 8.39847- 2 1.00000+ 1 1.90000+ 1 5.42389- 5 8.41064- 2 1.00000+ 1 2.10000+ 1 2.92235- 6 8.43055- 2 1.00000+ 1 2.20000+ 1 6.63718- 6 8.43282- 2 1.00000+ 1 2.40000+ 1 4.95339- 8 8.45877- 2 1.00000+ 1 2.50000+ 1 9.90636- 8 8.45929- 2 1.00000+ 1 2.70000+ 1 1.31266- 5 8.45879- 2 1.00000+ 1 2.90000+ 1 1.13919- 6 8.46298- 2 1.00000+ 1 3.00000+ 1 9.95593- 6 8.46531- 2 1.00000+ 1 3.20000+ 1 3.46715- 7 8.47119- 2 1.00000+ 1 3.30000+ 1 7.92511- 7 8.47147- 2 1.10000+ 1 1.10000+ 1 1.13478- 4 8.21808- 2 1.10000+ 1 1.30000+ 1 3.47226- 5 8.26407- 2 1.10000+ 1 1.40000+ 1 2.78876- 5 8.27464- 2 1.10000+ 1 1.60000+ 1 3.24932- 5 8.43587- 2 1.10000+ 1 1.80000+ 1 5.42889- 5 8.44794- 2 1.10000+ 1 1.90000+ 1 5.40880- 5 8.46011- 2 1.10000+ 1 2.10000+ 1 8.96520- 6 8.48002- 2 1.10000+ 1 2.20000+ 1 7.18236- 6 8.48229- 2 1.10000+ 1 2.40000+ 1 9.90642- 8 8.50824- 2 1.10000+ 1 2.50000+ 1 1.48602- 7 8.50876- 2 1.10000+ 1 2.70000+ 1 6.88522- 6 8.50826- 2 1.10000+ 1 2.90000+ 1 1.03026- 5 8.51245- 2 1.10000+ 1 3.00000+ 1 9.95599- 6 8.51478- 2 1.10000+ 1 3.20000+ 1 1.08973- 6 8.52066- 2 1.10000+ 1 3.30000+ 1 8.42039- 7 8.52094- 2 1.30000+ 1 1.30000+ 1 9.90629- 8 8.31006- 2 1.30000+ 1 1.40000+ 1 4.01204- 6 8.32063- 2 1.30000+ 1 1.60000+ 1 2.67476- 6 8.48186- 2 1.30000+ 1 1.80000+ 1 2.62520- 6 8.49393- 2 1.30000+ 1 1.90000+ 1 7.82601- 6 8.50610- 2 1.30000+ 1 2.10000+ 1 4.95336- 8 8.52601- 2 1.30000+ 1 2.20000+ 1 9.90629- 7 8.52828- 2 1.30000+ 1 2.70000+ 1 5.44858- 7 8.55425- 2 1.30000+ 1 2.90000+ 1 4.95336- 7 8.55844- 2 1.30000+ 1 3.00000+ 1 1.43643- 6 8.56077- 2 1.30000+ 1 3.30000+ 1 9.90629- 8 8.56693- 2 1.40000+ 1 1.40000+ 1 9.41131- 7 8.33120- 2 1.40000+ 1 1.60000+ 1 1.83275- 6 8.49243- 2 1.40000+ 1 1.80000+ 1 5.69623- 6 8.50450- 2 1.40000+ 1 1.90000+ 1 6.24105- 6 8.51667- 2 1.40000+ 1 2.10000+ 1 9.90644- 7 8.53658- 2 1.40000+ 1 2.20000+ 1 4.95343- 7 8.53885- 2 1.40000+ 1 2.70000+ 1 3.96263- 7 8.56482- 2 1.40000+ 1 2.90000+ 1 1.08973- 6 8.56901- 2 1.40000+ 1 3.00000+ 1 1.13920- 6 8.57134- 2 1.40000+ 1 3.20000+ 1 9.90644- 8 8.57722- 2 1.40000+ 1 3.30000+ 1 4.95343- 8 8.57750- 2 1.60000+ 1 1.60000+ 1 1.05506- 5 8.65366- 2 1.60000+ 1 1.80000+ 1 1.52557- 5 8.66573- 2 1.60000+ 1 1.90000+ 1 8.02428- 6 8.67790- 2 1.60000+ 1 2.10000+ 1 6.93475- 7 8.69780- 2 1.60000+ 1 2.20000+ 1 4.95346- 7 8.70008- 2 1.60000+ 1 2.70000+ 1 4.50737- 6 8.72604- 2 1.60000+ 1 2.90000+ 1 2.92239- 6 8.73024- 2 1.60000+ 1 3.00000+ 1 1.48604- 6 8.73256- 2 1.60000+ 1 3.20000+ 1 9.90651- 8 8.73845- 2 1.60000+ 1 3.30000+ 1 4.95346- 8 8.73872- 2 1.80000+ 1 1.80000+ 1 6.93476- 7 8.67780- 2 1.80000+ 1 1.90000+ 1 1.28784- 5 8.68997- 2 1.80000+ 1 2.10000+ 1 6.93476- 7 8.70987- 2 1.80000+ 1 2.20000+ 1 1.48604- 6 8.71215- 2 1.80000+ 1 2.70000+ 1 3.21965- 6 8.73811- 2 1.80000+ 1 2.90000+ 1 2.47662- 7 8.74231- 2 1.80000+ 1 3.00000+ 1 2.37757- 6 8.74463- 2 1.80000+ 1 3.20000+ 1 9.90651- 8 8.75052- 2 1.80000+ 1 3.30000+ 1 1.48604- 7 8.75079- 2 1.90000+ 1 1.90000+ 1 6.31977- 6 8.70214- 2 1.90000+ 1 2.10000+ 1 1.99309- 6 8.72205- 2 1.90000+ 1 2.20000+ 1 1.60424- 6 8.72432- 2 1.90000+ 1 2.40000+ 1 4.86160- 8 8.75027- 2 1.90000+ 1 2.50000+ 1 4.86160- 8 8.75079- 2 1.90000+ 1 2.70000+ 1 1.65290- 6 8.75029- 2 1.90000+ 1 2.90000+ 1 2.43069- 6 8.75448- 2 1.90000+ 1 3.00000+ 1 2.33348- 6 8.75681- 2 1.90000+ 1 3.20000+ 1 2.43069- 7 8.76269- 2 1.90000+ 1 3.30000+ 1 1.94454- 7 8.76297- 2 2.10000+ 1 2.20000+ 1 2.47663- 7 8.74423- 2 2.10000+ 1 2.70000+ 1 1.48604- 7 8.77019- 2 2.10000+ 1 2.90000+ 1 1.48604- 7 8.77439- 2 2.10000+ 1 3.00000+ 1 3.46721- 7 8.77671- 2 2.10000+ 1 3.30000+ 1 4.95347- 8 8.78287- 2 2.20000+ 1 2.20000+ 1 4.95340- 8 8.74650- 2 2.20000+ 1 2.70000+ 1 9.90638- 8 8.77247- 2 2.20000+ 1 2.90000+ 1 2.97183- 7 8.77666- 2 2.20000+ 1 3.00000+ 1 2.97183- 7 8.77899- 2 2.20000+ 1 3.20000+ 1 4.95340- 8 8.78487- 2 2.70000+ 1 2.70000+ 1 4.99947- 7 8.79843- 2 2.70000+ 1 2.90000+ 1 6.49900- 7 8.80263- 2 2.70000+ 1 3.00000+ 1 2.99947- 7 8.80495- 2 2.90000+ 1 2.90000+ 1 4.60816- 8 8.80682- 2 2.90000+ 1 3.00000+ 1 4.14715- 7 8.80914- 2 2.90000+ 1 3.30000+ 1 4.60816- 8 8.81531- 2 3.00000+ 1 3.00000+ 1 2.14155- 7 8.81147- 2 3.00000+ 1 3.20000+ 1 5.35417- 8 8.81735- 2 3.00000+ 1 3.30000+ 1 5.35417- 8 8.81763- 2 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.17560- 5 5.96000- 4 6.00000+ 0 3.01181- 3 2.80700- 3 1.00000+ 1 3.30911- 2 1.22977- 2 1.10000+ 1 3.61361- 2 1.27924- 2 1.30000+ 1 1.19470- 3 1.32523- 2 1.40000+ 1 1.78780- 3 1.33580- 2 1.80000+ 1 8.51602- 3 1.50910- 2 1.90000+ 1 1.01380- 2 1.52127- 2 2.10000+ 1 1.83580- 4 1.54118- 2 2.20000+ 1 2.90471- 4 1.54345- 2 2.90000+ 1 1.66820- 3 1.57361- 2 3.00000+ 1 1.95110- 3 1.57594- 2 3.20000+ 1 2.14110- 5 1.58182- 2 3.30000+ 1 3.34501- 5 1.58210- 2 4.30000+ 1 4.51921- 5 1.58400- 2 4.40000+ 1 4.25931- 5 1.58417- 2 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.10000+ 1 4.64959- 3 1.60770- 4 5.00000+ 0 2.20000+ 1 6.19632- 3 1.83510- 4 5.00000+ 0 2.40000+ 1 1.41965- 2 4.42960- 4 5.00000+ 0 2.50000+ 1 1.88094- 2 4.48190- 4 5.00000+ 0 2.70000+ 1 4.35745- 3 4.43170- 4 5.00000+ 0 2.90000+ 1 3.15890- 3 4.85090- 4 5.00000+ 0 3.00000+ 1 2.86876- 3 5.08360- 4 5.00000+ 0 3.20000+ 1 5.68727- 4 5.67190- 4 5.00000+ 0 3.30000+ 1 7.48469- 4 5.69970- 4 6.00000+ 0 1.30000+ 1 2.33464- 1 2.12300- 4 6.00000+ 0 1.40000+ 1 2.96649- 1 3.18000- 4 6.00000+ 0 1.60000+ 1 1.87226- 2 1.93028- 3 6.00000+ 0 1.80000+ 1 7.43065- 3 2.05098- 3 6.00000+ 0 1.90000+ 1 1.12261- 2 2.17270- 3 6.00000+ 0 2.10000+ 1 3.08268- 2 2.37177- 3 6.00000+ 0 2.20000+ 1 3.66516- 2 2.39451- 3 6.00000+ 0 2.40000+ 1 2.15040- 2 2.65396- 3 6.00000+ 0 2.50000+ 1 2.67664- 2 2.65919- 3 6.00000+ 0 2.70000+ 1 3.80864- 3 2.65417- 3 6.00000+ 0 2.90000+ 1 1.39688- 3 2.69609- 3 6.00000+ 0 3.00000+ 1 2.06118- 3 2.71936- 3 6.00000+ 0 3.20000+ 1 3.44057- 3 2.77819- 3 6.00000+ 0 3.30000+ 1 3.91355- 3 2.78097- 3 8.00000+ 0 8.00000+ 0 5.17910- 3 8.19840- 3 8.00000+ 0 1.00000+ 1 1.06584- 2 8.47340- 3 8.00000+ 0 1.10000+ 1 1.67262- 2 8.96810- 3 8.00000+ 0 1.30000+ 1 1.23670- 2 9.42800- 3 8.00000+ 0 1.40000+ 1 1.58330- 2 9.53370- 3 8.00000+ 0 1.60000+ 1 2.21783- 3 1.11460- 2 8.00000+ 0 1.80000+ 1 2.59010- 3 1.12667- 2 8.00000+ 0 1.90000+ 1 4.00773- 3 1.13884- 2 8.00000+ 0 2.10000+ 1 2.70799- 3 1.15875- 2 8.00000+ 0 2.20000+ 1 3.43824- 3 1.16102- 2 8.00000+ 0 2.40000+ 1 2.25100- 4 1.18697- 2 8.00000+ 0 2.50000+ 1 2.46681- 4 1.18749- 2 8.00000+ 0 2.70000+ 1 4.61570- 4 1.18699- 2 8.00000+ 0 2.90000+ 1 4.94930- 4 1.19118- 2 8.00000+ 0 3.00000+ 1 7.37714- 4 1.19351- 2 8.00000+ 0 3.20000+ 1 3.19485- 4 1.19939- 2 8.00000+ 0 3.30000+ 1 3.92091- 4 1.19967- 2 1.00000+ 1 1.00000+ 1 2.04100- 5 8.74840- 3 1.00000+ 1 1.10000+ 1 2.10964- 4 9.24310- 3 1.00000+ 1 1.30000+ 1 6.58798- 4 9.70300- 3 1.00000+ 1 1.40000+ 1 5.34638- 3 9.80870- 3 1.00000+ 1 1.60000+ 1 1.80001- 3 1.14210- 2 1.00000+ 1 1.80000+ 1 2.74747- 6 1.15417- 2 1.00000+ 1 1.90000+ 1 4.25855- 5 1.16634- 2 1.00000+ 1 2.10000+ 1 1.26578- 4 1.18625- 2 1.00000+ 1 2.20000+ 1 7.42625- 4 1.18852- 2 1.00000+ 1 2.40000+ 1 8.24193- 5 1.21447- 2 1.00000+ 1 2.50000+ 1 2.87106- 4 1.21499- 2 1.00000+ 1 2.70000+ 1 3.52848- 4 1.21449- 2 1.00000+ 1 2.90000+ 1 3.92494- 7 1.21868- 2 1.00000+ 1 3.00000+ 1 7.65345- 6 1.22101- 2 1.00000+ 1 3.20000+ 1 1.49149- 5 1.22689- 2 1.00000+ 1 3.30000+ 1 7.86916- 5 1.22717- 2 1.10000+ 1 1.10000+ 1 5.57539- 4 9.73780- 3 1.10000+ 1 1.30000+ 1 1.79442- 3 1.01977- 2 1.10000+ 1 1.40000+ 1 1.09463- 3 1.03034- 2 1.10000+ 1 1.60000+ 1 2.77925- 3 1.19157- 2 1.10000+ 1 1.80000+ 1 5.06324- 5 1.20364- 2 1.10000+ 1 1.90000+ 1 2.02133- 4 1.21581- 2 1.10000+ 1 2.10000+ 1 1.62697- 4 1.23572- 2 1.10000+ 1 2.20000+ 1 8.14393- 5 1.23799- 2 1.10000+ 1 2.40000+ 1 1.37369- 4 1.26394- 2 1.10000+ 1 2.50000+ 1 1.14999- 4 1.26446- 2 1.10000+ 1 2.70000+ 1 5.43012- 4 1.26396- 2 1.10000+ 1 2.90000+ 1 9.61592- 6 1.26815- 2 1.10000+ 1 3.00000+ 1 3.51281- 5 1.27048- 2 1.10000+ 1 3.20000+ 1 1.62887- 5 1.27636- 2 1.10000+ 1 3.30000+ 1 7.65346- 6 1.27664- 2 1.30000+ 1 1.30000+ 1 7.25522- 4 1.06576- 2 1.30000+ 1 1.40000+ 1 2.14416- 2 1.07633- 2 1.30000+ 1 1.60000+ 1 1.87540- 3 1.23756- 2 1.30000+ 1 1.80000+ 1 1.93095- 4 1.24963- 2 1.30000+ 1 1.90000+ 1 4.79814- 4 1.26180- 2 1.30000+ 1 2.10000+ 1 3.10059- 4 1.28171- 2 1.30000+ 1 2.20000+ 1 3.25015- 3 1.28398- 2 1.30000+ 1 2.40000+ 1 2.39802- 4 1.30993- 2 1.30000+ 1 2.50000+ 1 6.60940- 4 1.31045- 2 1.30000+ 1 2.70000+ 1 3.59713- 4 1.30995- 2 1.30000+ 1 2.90000+ 1 3.82672- 5 1.31414- 2 1.30000+ 1 3.00000+ 1 9.00772- 5 1.31647- 2 1.30000+ 1 3.20000+ 1 3.65009- 5 1.32235- 2 1.30000+ 1 3.30000+ 1 3.48134- 4 1.32263- 2 1.40000+ 1 1.40000+ 1 5.92516- 3 1.08690- 2 1.40000+ 1 1.60000+ 1 2.43627- 3 1.24813- 2 1.40000+ 1 1.80000+ 1 1.15064- 3 1.26020- 2 1.40000+ 1 1.90000+ 1 2.98901- 4 1.27237- 2 1.40000+ 1 2.10000+ 1 3.14767- 3 1.29228- 2 1.40000+ 1 2.20000+ 1 1.89682- 3 1.29455- 2 1.40000+ 1 2.40000+ 1 7.28533- 4 1.32050- 2 1.40000+ 1 2.50000+ 1 5.49901- 4 1.32102- 2 1.40000+ 1 2.70000+ 1 4.69838- 4 1.32052- 2 1.40000+ 1 2.90000+ 1 2.14901- 4 1.32471- 2 1.40000+ 1 3.00000+ 1 5.67176- 5 1.32704- 2 1.40000+ 1 3.20000+ 1 3.46201- 4 1.33292- 2 1.40000+ 1 3.30000+ 1 2.05489- 4 1.33320- 2 1.60000+ 1 1.60000+ 1 2.24117- 4 1.40936- 2 1.60000+ 1 1.80000+ 1 4.38623- 4 1.42143- 2 1.60000+ 1 1.90000+ 1 6.68624- 4 1.43360- 2 1.60000+ 1 2.10000+ 1 4.12125- 4 1.45350- 2 1.60000+ 1 2.20000+ 1 5.27525- 4 1.45578- 2 1.60000+ 1 2.40000+ 1 2.84574- 5 1.48172- 2 1.60000+ 1 2.50000+ 1 2.98293- 5 1.48225- 2 1.60000+ 1 2.70000+ 1 9.20396- 5 1.48174- 2 1.60000+ 1 2.90000+ 1 8.37998- 5 1.48594- 2 1.60000+ 1 3.00000+ 1 1.23243- 4 1.48826- 2 1.60000+ 1 3.20000+ 1 4.86701- 5 1.49415- 2 1.60000+ 1 3.30000+ 1 6.00522- 5 1.49442- 2 1.80000+ 1 1.90000+ 1 1.02049- 5 1.44567- 2 1.80000+ 1 2.10000+ 1 3.27728- 5 1.46557- 2 1.80000+ 1 2.20000+ 1 1.66222- 4 1.46785- 2 1.80000+ 1 2.40000+ 1 1.15777- 5 1.49379- 2 1.80000+ 1 2.50000+ 1 4.53327- 5 1.49432- 2 1.80000+ 1 2.70000+ 1 8.59535- 5 1.49381- 2 1.80000+ 1 3.00000+ 1 1.76623- 6 1.50033- 2 1.80000+ 1 3.20000+ 1 3.72867- 6 1.50622- 2 1.80000+ 1 3.30000+ 1 1.76623- 5 1.50649- 2 1.90000+ 1 1.90000+ 1 1.76628- 5 1.45784- 2 1.90000+ 1 2.10000+ 1 4.90627- 5 1.47775- 2 1.90000+ 1 2.20000+ 1 2.76712- 5 1.48002- 2 1.90000+ 1 2.40000+ 1 2.82596- 5 1.50597- 2 1.90000+ 1 2.50000+ 1 2.29613- 5 1.50649- 2 1.90000+ 1 2.70000+ 1 1.30697- 4 1.50599- 2 1.90000+ 1 2.90000+ 1 1.96251- 6 1.51018- 2 1.90000+ 1 3.00000+ 1 6.08365- 6 1.51251- 2 1.90000+ 1 3.20000+ 1 5.10250- 6 1.51839- 2 1.90000+ 1 3.30000+ 1 2.74753- 6 1.51867- 2 2.10000+ 1 2.10000+ 1 3.06148- 5 1.49765- 2 2.10000+ 1 2.20000+ 1 5.22216- 4 1.49993- 2 2.10000+ 1 2.40000+ 1 3.53236- 5 1.52587- 2 2.10000+ 1 2.50000+ 1 7.39814- 5 1.52640- 2 2.10000+ 1 2.70000+ 1 7.90868- 5 1.52589- 2 2.10000+ 1 2.90000+ 1 6.27982- 6 1.53009- 2 2.10000+ 1 3.00000+ 1 9.41934- 6 1.53241- 2 2.10000+ 1 3.20000+ 1 7.06493- 6 1.53830- 2 2.10000+ 1 3.30000+ 1 5.67146- 5 1.53857- 2 2.20000+ 1 2.20000+ 1 1.62886- 4 1.50220- 2 2.20000+ 1 2.40000+ 1 8.61488- 5 1.52815- 2 2.20000+ 1 2.50000+ 1 7.24169- 5 1.52867- 2 2.20000+ 1 2.70000+ 1 1.01459- 4 1.52817- 2 2.20000+ 1 2.90000+ 1 3.12033- 5 1.53236- 2 2.20000+ 1 3.00000+ 1 5.49483- 6 1.53469- 2 2.20000+ 1 3.20000+ 1 5.82854- 5 1.54057- 2 2.20000+ 1 3.30000+ 1 3.57164- 5 1.54085- 2 2.40000+ 1 2.40000+ 1 1.12974- 6 1.55409- 2 2.40000+ 1 2.50000+ 1 1.98849- 5 1.55461- 2 2.40000+ 1 2.70000+ 1 6.10099- 6 1.55411- 2 2.40000+ 1 2.90000+ 1 2.25964- 6 1.55830- 2 2.40000+ 1 3.00000+ 1 5.87505- 6 1.56063- 2 2.40000+ 1 3.20000+ 1 4.51928- 6 1.56651- 2 2.40000+ 1 3.30000+ 1 1.01685- 5 1.56679- 2 2.50000+ 1 2.50000+ 1 4.76200- 6 1.55514- 2 2.50000+ 1 2.70000+ 1 7.01758- 6 1.55464- 2 2.50000+ 1 2.90000+ 1 1.00250- 5 1.55883- 2 2.50000+ 1 3.00000+ 1 5.26321- 6 1.56115- 2 2.50000+ 1 3.20000+ 1 1.00250- 5 1.56704- 2 2.50000+ 1 3.30000+ 1 9.77437- 6 1.56732- 2 2.70000+ 1 2.70000+ 1 1.61539- 5 1.55413- 2 2.70000+ 1 2.90000+ 1 2.82720- 5 1.55833- 2 2.70000+ 1 3.00000+ 1 4.13952- 5 1.56065- 2 2.70000+ 1 3.20000+ 1 1.61539- 5 1.56654- 2 2.70000+ 1 3.30000+ 1 1.98554- 5 1.56681- 2 2.90000+ 1 3.00000+ 1 8.26630- 7 1.56484- 2 2.90000+ 1 3.20000+ 1 1.65322- 6 1.57073- 2 2.90000+ 1 3.30000+ 1 7.02627- 6 1.57101- 2 3.00000+ 1 3.00000+ 1 1.21323- 6 1.56717- 2 3.00000+ 1 3.20000+ 1 2.02195- 6 1.57305- 2 3.00000+ 1 3.30000+ 1 1.21323- 6 1.57333- 2 3.20000+ 1 3.20000+ 1 3.84939- 7 1.57894- 2 3.20000+ 1 3.30000+ 1 6.15898- 6 1.57922- 2 3.30000+ 1 3.30000+ 1 1.91780- 6 1.57949- 2 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.07629- 5 2.21100- 3 8.00000+ 0 8.66321- 3 1.14267- 2 1.10000+ 1 3.55496- 4 1.21964- 2 1.30000+ 1 3.18407- 1 1.26563- 2 1.60000+ 1 2.23628- 3 1.43743- 2 1.90000+ 1 9.87070- 5 1.46167- 2 2.10000+ 1 6.50193- 2 1.48158- 2 2.40000+ 1 2.74127- 4 1.50980- 2 2.70000+ 1 4.77005- 4 1.50982- 2 3.00000+ 1 1.98928- 5 1.51634- 2 3.20000+ 1 8.04632- 3 1.52222- 2 4.10000+ 1 6.19034- 5 1.52359- 2 4.40000+ 1 4.13726- 7 1.52457- 2 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 5.16666- 3 1.33428- 3 6.00000+ 0 1.80000+ 1 3.69674- 2 1.45498- 3 6.00000+ 0 1.90000+ 1 1.01814- 2 1.57670- 3 6.00000+ 0 2.10000+ 1 3.74657- 2 1.77577- 3 6.00000+ 0 2.20000+ 1 1.28738- 2 1.79851- 3 6.00000+ 0 2.40000+ 1 1.54722- 3 2.05796- 3 6.00000+ 0 2.50000+ 1 2.30851- 3 2.06319- 3 6.00000+ 0 2.70000+ 1 1.01354- 3 2.05817- 3 6.00000+ 0 2.90000+ 1 6.51066- 3 2.10009- 3 6.00000+ 0 3.00000+ 1 1.83004- 3 2.12336- 3 6.00000+ 0 3.20000+ 1 4.25638- 3 2.18219- 3 6.00000+ 0 3.30000+ 1 1.42748- 3 2.18497- 3 8.00000+ 0 8.00000+ 0 5.64111- 4 7.60240- 3 8.00000+ 0 1.00000+ 1 1.98426- 2 7.87740- 3 8.00000+ 0 1.10000+ 1 1.85164- 3 8.37210- 3 8.00000+ 0 1.30000+ 1 3.09679- 3 8.83200- 3 8.00000+ 0 1.40000+ 1 1.76515- 3 8.93770- 3 8.00000+ 0 1.60000+ 1 2.18280- 4 1.05500- 2 8.00000+ 0 1.80000+ 1 3.18537- 3 1.06707- 2 8.00000+ 0 1.90000+ 1 3.97412- 4 1.07924- 2 8.00000+ 0 2.10000+ 1 4.79842- 4 1.09915- 2 8.00000+ 0 2.20000+ 1 2.33021- 4 1.10142- 2 8.00000+ 0 2.40000+ 1 8.88769- 5 1.12737- 2 8.00000+ 0 2.50000+ 1 6.17080- 5 1.12789- 2 8.00000+ 0 2.70000+ 1 4.42073- 5 1.12739- 2 8.00000+ 0 2.90000+ 1 5.59967- 4 1.13158- 2 8.00000+ 0 3.00000+ 1 7.13803- 5 1.13391- 2 8.00000+ 0 3.20000+ 1 5.34171- 5 1.13979- 2 8.00000+ 0 3.30000+ 1 2.48681- 5 1.14007- 2 1.00000+ 1 1.00000+ 1 2.07638- 2 8.15240- 3 1.00000+ 1 1.10000+ 1 5.26286- 2 8.64710- 3 1.00000+ 1 1.30000+ 1 2.72480- 2 9.10700- 3 1.00000+ 1 1.40000+ 1 3.87025- 2 9.21270- 3 1.00000+ 1 1.60000+ 1 5.11835- 3 1.08250- 2 1.00000+ 1 1.80000+ 1 8.49685- 3 1.09457- 2 1.00000+ 1 1.90000+ 1 1.23862- 2 1.10674- 2 1.00000+ 1 2.10000+ 1 5.96280- 3 1.12665- 2 1.00000+ 1 2.20000+ 1 8.44493- 3 1.12892- 2 1.00000+ 1 2.40000+ 1 4.54492- 4 1.15487- 2 1.00000+ 1 2.50000+ 1 3.95093- 4 1.15539- 2 1.00000+ 1 2.70000+ 1 1.09871- 3 1.15489- 2 1.00000+ 1 2.90000+ 1 1.57756- 3 1.15908- 2 1.00000+ 1 3.00000+ 1 2.27202- 3 1.16141- 2 1.00000+ 1 3.20000+ 1 7.04064- 4 1.16729- 2 1.00000+ 1 3.30000+ 1 9.64231- 4 1.16757- 2 1.10000+ 1 1.10000+ 1 1.20138- 3 9.14180- 3 1.10000+ 1 1.30000+ 1 2.46448- 2 9.60170- 3 1.10000+ 1 1.40000+ 1 3.58634- 3 9.70740- 3 1.10000+ 1 1.60000+ 1 4.00619- 4 1.13197- 2 1.10000+ 1 1.80000+ 1 8.61136- 3 1.14404- 2 1.10000+ 1 1.90000+ 1 4.84894- 4 1.15621- 2 1.10000+ 1 2.10000+ 1 4.54735- 3 1.17612- 2 1.10000+ 1 2.20000+ 1 6.36859- 4 1.17839- 2 1.10000+ 1 2.40000+ 1 1.86968- 4 1.20434- 2 1.10000+ 1 2.50000+ 1 9.85469- 5 1.20486- 2 1.10000+ 1 2.70000+ 1 8.28880- 5 1.20436- 2 1.10000+ 1 2.90000+ 1 1.51865- 3 1.20855- 2 1.10000+ 1 3.00000+ 1 8.61136- 5 1.21088- 2 1.10000+ 1 3.20000+ 1 5.21275- 4 1.21676- 2 1.10000+ 1 3.30000+ 1 7.04548- 5 1.21704- 2 1.30000+ 1 1.30000+ 1 2.33075- 2 1.00616- 2 1.30000+ 1 1.40000+ 1 9.25515- 2 1.01673- 2 1.30000+ 1 1.60000+ 1 8.00819- 4 1.17796- 2 1.30000+ 1 1.80000+ 1 4.31993- 3 1.19003- 2 1.30000+ 1 1.90000+ 1 5.36767- 3 1.20220- 2 1.30000+ 1 2.10000+ 1 8.46739- 3 1.22211- 2 1.30000+ 1 2.20000+ 1 1.81232- 2 1.22438- 2 1.30000+ 1 2.40000+ 1 1.59980- 3 1.25033- 2 1.30000+ 1 2.50000+ 1 3.22956- 3 1.25085- 2 1.30000+ 1 2.70000+ 1 1.72234- 4 1.25035- 2 1.30000+ 1 2.90000+ 1 7.63488- 4 1.25454- 2 1.30000+ 1 3.00000+ 1 9.69349- 4 1.25687- 2 1.30000+ 1 3.20000+ 1 9.72565- 4 1.26275- 2 1.30000+ 1 3.30000+ 1 2.03324- 3 1.26303- 2 1.40000+ 1 1.40000+ 1 4.49452- 3 1.02730- 2 1.40000+ 1 1.60000+ 1 3.67472- 4 1.18853- 2 1.40000+ 1 1.80000+ 1 5.41411- 3 1.20060- 2 1.40000+ 1 1.90000+ 1 7.18814- 4 1.21277- 2 1.40000+ 1 2.10000+ 1 1.38077- 2 1.23268- 2 1.40000+ 1 2.20000+ 1 1.60117- 3 1.23495- 2 1.40000+ 1 2.40000+ 1 6.38730- 4 1.26090- 2 1.40000+ 1 2.50000+ 1 2.44525- 4 1.26142- 2 1.40000+ 1 2.70000+ 1 7.55244- 5 1.26092- 2 1.40000+ 1 2.90000+ 1 9.23291- 4 1.26511- 2 1.40000+ 1 3.00000+ 1 1.27561- 4 1.26744- 2 1.40000+ 1 3.20000+ 1 1.52697- 3 1.27332- 2 1.40000+ 1 3.30000+ 1 1.77284- 4 1.27360- 2 1.60000+ 1 1.60000+ 1 2.02631- 5 1.34976- 2 1.60000+ 1 1.80000+ 1 8.26150- 4 1.36183- 2 1.60000+ 1 1.90000+ 1 8.65748- 5 1.37400- 2 1.60000+ 1 2.10000+ 1 1.20650- 4 1.39390- 2 1.60000+ 1 2.20000+ 1 4.83517- 5 1.39618- 2 1.60000+ 1 2.40000+ 1 2.02631- 5 1.42212- 2 1.60000+ 1 2.50000+ 1 1.10513- 5 1.42265- 2 1.60000+ 1 2.70000+ 1 8.28897- 6 1.42214- 2 1.60000+ 1 2.90000+ 1 1.45517- 4 1.42634- 2 1.60000+ 1 3.00000+ 1 1.56562- 5 1.42866- 2 1.60000+ 1 3.20000+ 1 1.33543- 5 1.43455- 2 1.60000+ 1 3.30000+ 1 5.06545- 6 1.43482- 2 1.80000+ 1 1.80000+ 1 8.25653- 4 1.37390- 2 1.80000+ 1 1.90000+ 1 2.03125- 3 1.38607- 2 1.80000+ 1 2.10000+ 1 9.31559- 4 1.40597- 2 1.80000+ 1 2.20000+ 1 1.19308- 3 1.40825- 2 1.80000+ 1 2.40000+ 1 5.89423- 5 1.43419- 2 1.80000+ 1 2.50000+ 1 4.09835- 5 1.43472- 2 1.80000+ 1 2.70000+ 1 1.77280- 4 1.43421- 2 1.80000+ 1 2.90000+ 1 3.03459- 4 1.43841- 2 1.80000+ 1 3.00000+ 1 3.72526- 4 1.44073- 2 1.80000+ 1 3.20000+ 1 1.09592- 4 1.44662- 2 1.80000+ 1 3.30000+ 1 1.36306- 4 1.44689- 2 1.90000+ 1 1.90000+ 1 4.92715- 5 1.39824- 2 1.90000+ 1 2.10000+ 1 9.97875- 4 1.41815- 2 1.90000+ 1 2.20000+ 1 1.29855- 4 1.42042- 2 1.90000+ 1 2.40000+ 1 3.49968- 5 1.44637- 2 1.90000+ 1 2.50000+ 1 1.70381- 5 1.44689- 2 1.90000+ 1 2.70000+ 1 1.79588- 5 1.44639- 2 1.90000+ 1 2.90000+ 1 3.58257- 4 1.45058- 2 1.90000+ 1 3.00000+ 1 1.74984- 5 1.45291- 2 1.90000+ 1 3.20000+ 1 1.14656- 4 1.45879- 2 1.90000+ 1 3.30000+ 1 1.42748- 5 1.45907- 2 2.10000+ 1 2.10000+ 1 7.62081- 4 1.43805- 2 2.10000+ 1 2.20000+ 1 2.81676- 3 1.44033- 2 2.10000+ 1 2.40000+ 1 1.98929- 4 1.46627- 2 2.10000+ 1 2.50000+ 1 4.05688- 4 1.46680- 2 2.10000+ 1 2.70000+ 1 2.57868- 5 1.46629- 2 2.10000+ 1 2.90000+ 1 1.63927- 4 1.47049- 2 2.10000+ 1 3.00000+ 1 1.80514- 4 1.47281- 2 2.10000+ 1 3.20000+ 1 1.74532- 4 1.47870- 2 2.10000+ 1 3.30000+ 1 3.17727- 4 1.47897- 2 2.20000+ 1 2.20000+ 1 1.44135- 4 1.44260- 2 2.20000+ 1 2.40000+ 1 8.65731- 5 1.46855- 2 2.20000+ 1 2.50000+ 1 3.36155- 5 1.46907- 2 2.20000+ 1 2.70000+ 1 1.01303- 5 1.46857- 2 2.20000+ 1 2.90000+ 1 2.03985- 4 1.47276- 2 2.20000+ 1 3.00000+ 1 2.30240- 5 1.47509- 2 2.20000+ 1 3.20000+ 1 3.13586- 4 1.48097- 2 2.20000+ 1 3.30000+ 1 3.17730- 5 1.48125- 2 2.40000+ 1 2.40000+ 1 4.75693- 6 1.49449- 2 2.40000+ 1 2.50000+ 1 3.23466- 5 1.49501- 2 2.40000+ 1 2.70000+ 1 4.28124- 6 1.49451- 2 2.40000+ 1 2.90000+ 1 1.04648- 5 1.49870- 2 2.40000+ 1 3.00000+ 1 6.18409- 6 1.50103- 2 2.40000+ 1 3.20000+ 1 2.18819- 5 1.50691- 2 2.40000+ 1 3.30000+ 1 9.51354- 6 1.50719- 2 2.50000+ 1 2.50000+ 1 1.90280- 6 1.49554- 2 2.50000+ 1 2.70000+ 1 2.37852- 6 1.49504- 2 2.50000+ 1 2.90000+ 1 6.65992- 6 1.49923- 2 2.50000+ 1 3.00000+ 1 2.85421- 6 1.50155- 2 2.50000+ 1 3.20000+ 1 4.51922- 5 1.50744- 2 2.50000+ 1 3.30000+ 1 3.80571- 6 1.50772- 2 2.70000+ 1 2.70000+ 1 9.27859- 7 1.49453- 2 2.70000+ 1 2.90000+ 1 3.15477- 5 1.49873- 2 2.70000+ 1 3.00000+ 1 3.24754- 6 1.50105- 2 2.70000+ 1 3.20000+ 1 2.78361- 6 1.50694- 2 2.70000+ 1 3.30000+ 1 9.27859- 7 1.50721- 2 2.90000+ 1 2.90000+ 1 2.77938- 5 1.50292- 2 2.90000+ 1 3.00000+ 1 6.62446- 5 1.50524- 2 2.90000+ 1 3.20000+ 1 1.94555- 5 1.51113- 2 2.90000+ 1 3.30000+ 1 2.36247- 5 1.51141- 2 3.00000+ 1 3.00000+ 1 1.52828- 6 1.50757- 2 3.00000+ 1 3.20000+ 1 2.29259- 5 1.51345- 2 3.00000+ 1 3.30000+ 1 3.05656- 6 1.51373- 2 3.20000+ 1 3.20000+ 1 1.01304- 5 1.51934- 2 3.20000+ 1 3.30000+ 1 3.54572- 5 1.51962- 2 3.30000+ 1 3.30000+ 1 1.86968- 6 1.51989- 2 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.59011- 2 9.21570- 3 1.00000+ 1 1.67061- 4 9.49070- 3 1.10000+ 1 1.51021- 4 9.98540- 3 1.30000+ 1 2.78162- 2 1.04453- 2 1.40000+ 1 2.44872- 1 1.05510- 2 1.60000+ 1 3.55203- 3 1.21633- 2 1.80000+ 1 3.77753- 5 1.22840- 2 1.90000+ 1 3.87143- 5 1.24057- 2 2.10000+ 1 5.21024- 3 1.26048- 2 2.20000+ 1 4.71253- 2 1.26275- 2 2.40000+ 1 4.12713- 5 1.28870- 2 2.50000+ 1 2.30402- 4 1.28922- 2 2.70000+ 1 7.71456- 4 1.28872- 2 2.90000+ 1 7.90536- 6 1.29291- 2 3.00000+ 1 8.18356- 6 1.29524- 2 3.20000+ 1 6.35505- 4 1.30112- 2 3.30000+ 1 5.63074- 3 1.30140- 2 4.10000+ 1 9.74327- 5 1.30249- 2 4.30000+ 1 1.94301- 7 1.30330- 2 4.40000+ 1 1.59431- 7 1.30347- 2 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 7.00738- 4 5.39140- 3 8.00000+ 0 1.00000+ 1 3.51754- 4 5.66640- 3 8.00000+ 0 1.10000+ 1 2.08211- 2 6.16110- 3 8.00000+ 0 1.30000+ 1 2.64249- 3 6.62100- 3 8.00000+ 0 1.40000+ 1 4.49024- 3 6.72670- 3 8.00000+ 0 1.60000+ 1 2.72927- 4 8.33898- 3 8.00000+ 0 1.80000+ 1 6.26984- 5 8.45968- 3 8.00000+ 0 1.90000+ 1 3.26685- 3 8.58140- 3 8.00000+ 0 2.10000+ 1 2.78448- 4 8.78047- 3 8.00000+ 0 2.20000+ 1 4.36111- 4 8.80321- 3 8.00000+ 0 2.40000+ 1 2.31885- 4 9.06266- 3 8.00000+ 0 2.50000+ 1 4.08460- 4 9.06789- 3 8.00000+ 0 2.70000+ 1 5.53220- 5 9.06287- 3 8.00000+ 0 2.90000+ 1 1.10642- 5 9.10479- 3 8.00000+ 0 3.00000+ 1 5.53220- 4 9.12806- 3 8.00000+ 0 3.20000+ 1 2.90445- 5 9.18689- 3 8.00000+ 0 3.30000+ 1 4.28748- 5 9.18967- 3 1.00000+ 1 1.00000+ 1 3.41151- 5 5.94140- 3 1.00000+ 1 1.10000+ 1 3.49371- 2 6.43610- 3 1.00000+ 1 1.30000+ 1 1.64398- 3 6.89600- 3 1.00000+ 1 1.40000+ 1 1.39070- 2 7.00170- 3 1.00000+ 1 1.60000+ 1 7.23792- 5 8.61398- 3 1.00000+ 1 1.80000+ 1 1.79793- 5 8.73468- 3 1.00000+ 1 1.90000+ 1 5.69668- 3 8.85640- 3 1.00000+ 1 2.10000+ 1 3.13939- 4 9.05547- 3 1.00000+ 1 2.20000+ 1 2.20048- 3 9.07821- 3 1.00000+ 1 2.40000+ 1 2.25896- 4 9.33766- 3 1.00000+ 1 2.50000+ 1 5.67048- 4 9.34289- 3 1.00000+ 1 2.70000+ 1 1.52133- 5 9.33787- 3 1.00000+ 1 2.90000+ 1 3.68821- 6 9.37979- 3 1.00000+ 1 3.00000+ 1 9.71810- 4 9.40306- 3 1.00000+ 1 3.20000+ 1 3.68821- 5 9.46189- 3 1.00000+ 1 3.30000+ 1 2.39258- 4 9.46467- 3 1.10000+ 1 1.10000+ 1 4.39724- 2 6.93080- 3 1.10000+ 1 1.30000+ 1 4.60420- 2 7.39070- 3 1.10000+ 1 1.40000+ 1 6.20944- 2 7.49640- 3 1.10000+ 1 1.60000+ 1 5.28426- 3 9.10868- 3 1.10000+ 1 1.80000+ 1 7.95877- 3 9.22938- 3 1.10000+ 1 1.90000+ 1 1.73548- 2 9.35110- 3 1.10000+ 1 2.10000+ 1 9.49227- 3 9.55017- 3 1.10000+ 1 2.20000+ 1 1.26247- 2 9.57291- 3 1.10000+ 1 2.40000+ 1 8.44572- 4 9.83236- 3 1.10000+ 1 2.50000+ 1 1.04097- 3 9.83759- 3 1.10000+ 1 2.70000+ 1 1.13045- 3 9.83257- 3 1.10000+ 1 2.90000+ 1 1.50431- 3 9.87449- 3 1.10000+ 1 3.00000+ 1 3.09021- 3 9.89776- 3 1.10000+ 1 3.20000+ 1 1.11152- 3 9.95659- 3 1.10000+ 1 3.30000+ 1 1.42589- 3 9.95937- 3 1.30000+ 1 1.30000+ 1 6.36652- 3 7.85060- 3 1.30000+ 1 1.40000+ 1 1.19210- 1 7.95630- 3 1.30000+ 1 1.60000+ 1 6.35735- 4 9.56858- 3 1.30000+ 1 1.80000+ 1 3.94157- 4 9.68928- 3 1.30000+ 1 1.90000+ 1 6.84021- 3 9.81100- 3 1.30000+ 1 2.10000+ 1 2.22676- 3 1.00101- 2 1.30000+ 1 2.20000+ 1 1.74420- 2 1.00328- 2 1.30000+ 1 2.40000+ 1 4.64692- 4 1.02923- 2 1.30000+ 1 2.50000+ 1 1.57571- 3 1.02975- 2 1.30000+ 1 2.70000+ 1 1.35072- 4 1.02925- 2 1.30000+ 1 2.90000+ 1 7.46833- 5 1.03344- 2 1.30000+ 1 3.00000+ 1 1.14557- 3 1.03577- 2 1.30000+ 1 3.20000+ 1 2.54471- 4 1.04165- 2 1.30000+ 1 3.30000+ 1 1.86567- 3 1.04193- 2 1.40000+ 1 1.40000+ 1 7.93381- 2 8.06200- 3 1.40000+ 1 1.60000+ 1 1.09672- 3 9.67428- 3 1.40000+ 1 1.80000+ 1 2.87486- 3 9.79498- 3 1.40000+ 1 1.90000+ 1 1.03963- 2 9.91670- 3 1.40000+ 1 2.10000+ 1 2.10636- 2 1.01158- 2 1.40000+ 1 2.20000+ 1 2.65496- 2 1.01385- 2 1.40000+ 1 2.40000+ 1 4.91247- 3 1.03980- 2 1.40000+ 1 2.50000+ 1 4.46709- 3 1.04032- 2 1.40000+ 1 2.70000+ 1 2.35096- 4 1.03982- 2 1.40000+ 1 2.90000+ 1 5.32926- 4 1.04401- 2 1.40000+ 1 3.00000+ 1 1.79569- 3 1.04634- 2 1.40000+ 1 3.20000+ 1 2.40557- 3 1.05222- 2 1.40000+ 1 3.30000+ 1 2.91303- 3 1.05250- 2 1.60000+ 1 1.60000+ 1 2.71989- 5 1.12866- 2 1.60000+ 1 1.80000+ 1 1.38301- 5 1.14073- 2 1.60000+ 1 1.90000+ 1 8.29788- 4 1.15290- 2 1.60000+ 1 2.10000+ 1 7.28383- 5 1.17280- 2 1.60000+ 1 2.20000+ 1 1.14796- 4 1.17508- 2 1.60000+ 1 2.40000+ 1 3.08876- 5 1.20102- 2 1.60000+ 1 2.50000+ 1 6.22356- 5 1.20155- 2 1.60000+ 1 2.70000+ 1 1.10641- 5 1.20104- 2 1.60000+ 1 2.90000+ 1 2.30500- 6 1.20524- 2 1.60000+ 1 3.00000+ 1 1.40604- 4 1.20756- 2 1.60000+ 1 3.20000+ 1 7.83684- 6 1.21345- 2 1.60000+ 1 3.30000+ 1 1.15254- 5 1.21372- 2 1.80000+ 1 1.80000+ 1 9.21995- 7 1.15280- 2 1.80000+ 1 1.90000+ 1 1.29084- 3 1.16497- 2 1.80000+ 1 2.10000+ 1 7.05319- 5 1.18487- 2 1.80000+ 1 2.20000+ 1 4.85892- 4 1.18715- 2 1.80000+ 1 2.40000+ 1 3.31929- 5 1.21309- 2 1.80000+ 1 2.50000+ 1 7.92932- 5 1.21362- 2 1.80000+ 1 2.70000+ 1 2.76599- 6 1.21311- 2 1.80000+ 1 2.90000+ 1 4.61013- 7 1.21731- 2 1.80000+ 1 3.00000+ 1 2.19906- 4 1.21963- 2 1.80000+ 1 3.20000+ 1 8.29779- 6 1.22552- 2 1.80000+ 1 3.30000+ 1 5.30153- 5 1.22579- 2 1.90000+ 1 1.90000+ 1 1.63981- 3 1.17714- 2 1.90000+ 1 2.10000+ 1 1.41302- 3 1.19705- 2 1.90000+ 1 2.20000+ 1 2.08102- 3 1.19932- 2 1.90000+ 1 2.40000+ 1 1.03269- 4 1.22527- 2 1.90000+ 1 2.50000+ 1 1.33689- 4 1.22579- 2 1.90000+ 1 2.70000+ 1 1.77492- 4 1.22529- 2 1.90000+ 1 2.90000+ 1 2.43414- 4 1.22948- 2 1.90000+ 1 3.00000+ 1 5.79037- 4 1.23181- 2 1.90000+ 1 3.20000+ 1 1.65505- 4 1.23769- 2 1.90000+ 1 3.30000+ 1 2.34197- 4 1.23797- 2 2.10000+ 1 2.10000+ 1 1.86707- 4 1.21695- 2 2.10000+ 1 2.20000+ 1 3.22017- 3 1.21923- 2 2.10000+ 1 2.40000+ 1 5.43996- 5 1.24517- 2 2.10000+ 1 2.50000+ 1 1.75178- 4 1.24570- 2 2.10000+ 1 2.70000+ 1 1.56744- 5 1.24519- 2 2.10000+ 1 2.90000+ 1 1.33688- 5 1.24939- 2 2.10000+ 1 3.00000+ 1 2.36954- 4 1.25171- 2 2.10000+ 1 3.20000+ 1 4.24129- 5 1.25760- 2 2.10000+ 1 3.30000+ 1 3.46668- 4 1.25787- 2 2.20000+ 1 2.20000+ 1 2.25132- 3 1.22150- 2 2.20000+ 1 2.40000+ 1 5.67931- 4 1.24745- 2 2.20000+ 1 2.50000+ 1 5.07972- 4 1.24797- 2 2.20000+ 1 2.70000+ 1 2.50976- 5 1.24747- 2 2.20000+ 1 2.90000+ 1 9.15603- 5 1.25166- 2 2.20000+ 1 3.00000+ 1 3.61122- 4 1.25399- 2 2.20000+ 1 3.20000+ 1 3.73196- 4 1.25987- 2 2.20000+ 1 3.30000+ 1 4.94039- 4 1.26015- 2 2.40000+ 1 2.40000+ 1 2.50488- 6 1.27339- 2 2.40000+ 1 2.50000+ 1 7.11398- 5 1.27391- 2 2.40000+ 1 2.70000+ 1 6.51291- 6 1.27341- 2 2.40000+ 1 2.90000+ 1 6.51291- 6 1.27760- 2 2.40000+ 1 3.00000+ 1 1.80354- 5 1.27993- 2 2.40000+ 1 3.20000+ 1 6.51291- 6 1.28581- 2 2.40000+ 1 3.30000+ 1 6.26224- 5 1.28609- 2 2.50000+ 1 2.50000+ 1 2.30503- 5 1.27444- 2 2.50000+ 1 2.70000+ 1 1.19870- 5 1.27394- 2 2.50000+ 1 2.90000+ 1 1.38303- 5 1.27813- 2 2.50000+ 1 3.00000+ 1 2.21286- 5 1.28045- 2 2.50000+ 1 3.20000+ 1 1.84409- 5 1.28634- 2 2.50000+ 1 3.30000+ 1 5.16338- 5 1.28662- 2 2.70000+ 1 2.70000+ 1 1.20528- 6 1.27343- 2 2.70000+ 1 2.90000+ 1 6.02661- 7 1.27763- 2 2.70000+ 1 3.00000+ 1 3.91726- 5 1.27995- 2 2.70000+ 1 3.20000+ 1 2.41062- 6 1.28584- 2 2.70000+ 1 3.30000+ 1 3.01318- 6 1.28611- 2 2.90000+ 1 3.00000+ 1 5.84667- 5 1.28414- 2 2.90000+ 1 3.20000+ 1 1.94884- 6 1.29003- 2 2.90000+ 1 3.30000+ 1 1.42920- 5 1.29031- 2 3.00000+ 1 3.00000+ 1 7.48404- 5 1.28647- 2 3.00000+ 1 3.20000+ 1 4.04534- 5 1.29235- 2 3.00000+ 1 3.30000+ 1 5.86575- 5 1.29263- 2 3.20000+ 1 3.20000+ 1 2.30495- 6 1.29824- 2 3.20000+ 1 3.30000+ 1 3.96464- 5 1.29852- 2 3.30000+ 1 3.30000+ 1 2.67372- 5 1.29879- 2 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.01990- 5 2.75000- 4 1.10000+ 1 4.91298- 4 7.69700- 4 1.80000+ 1 1.58009- 3 3.06828- 3 1.90000+ 1 1.21280- 3 3.19000- 3 2.90000+ 1 3.49469- 4 3.71339- 3 3.00000+ 1 2.86859- 4 3.73666- 3 4.30000+ 1 9.26166- 6 3.81730- 3 4.40000+ 1 6.13987- 6 3.81901- 3 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 2.78737- 2 1.21960- 4 1.00000+ 1 2.50000+ 1 3.75182- 2 1.27190- 4 1.00000+ 1 2.70000+ 1 1.18281- 2 1.22170- 4 1.00000+ 1 2.90000+ 1 1.14932- 2 1.64090- 4 1.00000+ 1 3.00000+ 1 1.49626- 2 1.87360- 4 1.00000+ 1 3.20000+ 1 6.58591- 3 2.46190- 4 1.00000+ 1 3.30000+ 1 8.69352- 3 2.48970- 4 1.00000+ 1 4.10000+ 1 1.32069- 3 2.59950- 4 1.00000+ 1 4.30000+ 1 2.54208- 4 2.68000- 4 1.00000+ 1 4.40000+ 1 2.69337- 4 2.69710- 4 1.10000+ 1 1.80000+ 1 5.63983- 2 1.36800- 5 1.10000+ 1 1.90000+ 1 5.80249- 2 1.35400- 4 1.10000+ 1 2.10000+ 1 1.79005- 2 3.34470- 4 1.10000+ 1 2.20000+ 1 3.09162- 2 3.57210- 4 1.10000+ 1 2.40000+ 1 1.76870- 1 6.16660- 4 1.10000+ 1 2.50000+ 1 2.18518- 1 6.21890- 4 1.10000+ 1 2.70000+ 1 1.06468- 2 6.16870- 4 1.10000+ 1 2.90000+ 1 1.01650- 2 6.58790- 4 1.10000+ 1 3.00000+ 1 1.03482- 2 6.82060- 4 1.10000+ 1 3.20000+ 1 2.05132- 3 7.40890- 4 1.10000+ 1 3.30000+ 1 3.55306- 3 7.43670- 4 1.10000+ 1 4.10000+ 1 1.21696- 3 7.54650- 4 1.10000+ 1 4.30000+ 1 2.33267- 4 7.62700- 4 1.10000+ 1 4.40000+ 1 1.95388- 4 7.64410- 4 1.30000+ 1 1.60000+ 1 2.55399- 2 3.52880- 4 1.30000+ 1 1.80000+ 1 5.55571- 3 4.73580- 4 1.30000+ 1 1.90000+ 1 7.02944- 3 5.95300- 4 1.30000+ 1 2.10000+ 1 8.76956- 3 7.94370- 4 1.30000+ 1 2.20000+ 1 1.08083- 2 8.17110- 4 1.30000+ 1 2.40000+ 1 9.04749- 3 1.07656- 3 1.30000+ 1 2.50000+ 1 8.35903- 3 1.08179- 3 1.30000+ 1 2.70000+ 1 3.49057- 3 1.07677- 3 1.30000+ 1 2.90000+ 1 8.24827- 4 1.11869- 3 1.30000+ 1 3.00000+ 1 9.77110- 4 1.14196- 3 1.30000+ 1 3.20000+ 1 8.52874- 4 1.20079- 3 1.30000+ 1 3.30000+ 1 1.10141- 3 1.20357- 3 1.30000+ 1 4.10000+ 1 3.74392- 4 1.21455- 3 1.30000+ 1 4.30000+ 1 1.84557- 5 1.22260- 3 1.30000+ 1 4.40000+ 1 1.76244- 5 1.22431- 3 1.40000+ 1 1.60000+ 1 3.55464- 2 4.58580- 4 1.40000+ 1 1.80000+ 1 9.36733- 4 5.79280- 4 1.40000+ 1 1.90000+ 1 1.11038- 2 7.01000- 4 1.40000+ 1 2.10000+ 1 1.21489- 2 9.00070- 4 1.40000+ 1 2.20000+ 1 1.72218- 2 9.22810- 4 1.40000+ 1 2.40000+ 1 1.03350- 2 1.18226- 3 1.40000+ 1 2.50000+ 1 1.60320- 2 1.18749- 3 1.40000+ 1 2.70000+ 1 4.80753- 3 1.18247- 3 1.40000+ 1 2.90000+ 1 1.70280- 4 1.22439- 3 1.40000+ 1 3.00000+ 1 1.52621- 3 1.24766- 3 1.40000+ 1 3.20000+ 1 1.28559- 3 1.30649- 3 1.40000+ 1 3.30000+ 1 1.68889- 3 1.30927- 3 1.40000+ 1 4.10000+ 1 5.14698- 4 1.32025- 3 1.40000+ 1 4.30000+ 1 4.02445- 6 1.32830- 3 1.40000+ 1 4.40000+ 1 2.76167- 5 1.33001- 3 1.60000+ 1 1.60000+ 1 2.45676- 3 2.07086- 3 1.60000+ 1 1.80000+ 1 4.29301- 3 2.19156- 3 1.60000+ 1 1.90000+ 1 7.05037- 3 2.31328- 3 1.60000+ 1 2.10000+ 1 8.20737- 3 2.51235- 3 1.60000+ 1 2.20000+ 1 1.15362- 2 2.53509- 3 1.60000+ 1 2.40000+ 1 5.86812- 3 2.79454- 3 1.60000+ 1 2.50000+ 1 7.35558- 3 2.79977- 3 1.60000+ 1 2.70000+ 1 8.59514- 4 2.79475- 3 1.60000+ 1 2.90000+ 1 8.16982- 4 2.83667- 3 1.60000+ 1 3.00000+ 1 1.29157- 3 2.85994- 3 1.60000+ 1 3.20000+ 1 9.51643- 4 2.91877- 3 1.60000+ 1 3.30000+ 1 1.29465- 3 2.92155- 3 1.60000+ 1 4.10000+ 1 9.69998- 5 2.93253- 3 1.60000+ 1 4.30000+ 1 1.88905- 5 2.94058- 3 1.60000+ 1 4.40000+ 1 2.41575- 5 2.94229- 3 1.80000+ 1 1.80000+ 1 1.81471- 4 2.31226- 3 1.80000+ 1 1.90000+ 1 5.27593- 4 2.43398- 3 1.80000+ 1 2.10000+ 1 2.74021- 4 2.63305- 3 1.80000+ 1 2.20000+ 1 1.52137- 4 2.65579- 3 1.80000+ 1 2.40000+ 1 3.89400- 5 2.91524- 3 1.80000+ 1 2.50000+ 1 4.58598- 4 2.92047- 3 1.80000+ 1 2.70000+ 1 5.74499- 4 2.91545- 3 1.80000+ 1 2.90000+ 1 5.16179- 5 2.95737- 3 1.80000+ 1 3.00000+ 1 7.10009- 5 2.98064- 3 1.80000+ 1 3.20000+ 1 2.77114- 5 3.03947- 3 1.80000+ 1 3.30000+ 1 2.04657- 5 3.04225- 3 1.80000+ 1 4.10000+ 1 6.15798- 5 3.05323- 3 1.80000+ 1 4.30000+ 1 1.08666- 6 3.06128- 3 1.80000+ 1 4.40000+ 1 1.26778- 6 3.06299- 3 1.90000+ 1 1.90000+ 1 5.98942- 4 2.55570- 3 1.90000+ 1 2.10000+ 1 5.98762- 4 2.75477- 3 1.90000+ 1 2.20000+ 1 1.38089- 3 2.77751- 3 1.90000+ 1 2.40000+ 1 6.34615- 4 3.03696- 3 1.90000+ 1 2.50000+ 1 1.07434- 3 3.04219- 3 1.90000+ 1 2.70000+ 1 9.48347- 4 3.03717- 3 1.90000+ 1 2.90000+ 1 8.51234- 5 3.07909- 3 1.90000+ 1 3.00000+ 1 1.84727- 4 3.10236- 3 1.90000+ 1 3.20000+ 1 6.97280- 5 3.16119- 3 1.90000+ 1 3.30000+ 1 1.47789- 4 3.16397- 3 1.90000+ 1 4.10000+ 1 1.01784- 4 3.17495- 3 1.90000+ 1 4.30000+ 1 1.99220- 6 3.18300- 3 1.90000+ 1 4.40000+ 1 3.44109- 6 3.18471- 3 2.10000+ 1 2.10000+ 1 9.86370- 5 2.95384- 3 2.10000+ 1 2.20000+ 1 3.69980- 4 2.97658- 3 2.10000+ 1 2.40000+ 1 4.45868- 4 3.23603- 3 2.10000+ 1 2.50000+ 1 2.98547- 3 3.24126- 3 2.10000+ 1 2.70000+ 1 1.08353- 3 3.23624- 3 2.10000+ 1 2.90000+ 1 3.45771- 5 3.27816- 3 2.10000+ 1 3.00000+ 1 8.57141- 5 3.30143- 3 2.10000+ 1 3.20000+ 1 1.83808- 5 3.36026- 3 2.10000+ 1 3.30000+ 1 3.53066- 5 3.36304- 3 2.10000+ 1 4.10000+ 1 1.15745- 4 3.37402- 3 2.10000+ 1 4.30000+ 1 7.27938- 7 3.38207- 3 2.10000+ 1 4.40000+ 1 1.63786- 6 3.38378- 3 2.20000+ 1 2.20000+ 1 2.44320- 4 2.99932- 3 2.20000+ 1 2.40000+ 1 2.75779- 3 3.25877- 3 2.20000+ 1 2.50000+ 1 1.67184- 3 3.26400- 3 2.20000+ 1 2.70000+ 1 1.51417- 3 3.25898- 3 2.20000+ 1 2.90000+ 1 2.14181- 5 3.30090- 3 2.20000+ 1 3.00000+ 1 1.94930- 4 3.32417- 3 2.20000+ 1 3.20000+ 1 3.32166- 5 3.38300- 3 2.20000+ 1 3.30000+ 1 4.53774- 5 3.38578- 3 2.20000+ 1 4.10000+ 1 1.61715- 4 3.39676- 3 2.20000+ 1 4.30000+ 1 5.44527- 7 3.40481- 3 2.20000+ 1 4.40000+ 1 3.44859- 6 3.40652- 3 2.40000+ 1 2.40000+ 1 5.94239- 4 3.51822- 3 2.40000+ 1 2.50000+ 1 3.98585- 3 3.52345- 3 2.40000+ 1 2.70000+ 1 7.09999- 4 3.51843- 3 2.40000+ 1 2.90000+ 1 5.43344- 6 3.56035- 3 2.40000+ 1 3.00000+ 1 6.57443- 5 3.58362- 3 2.40000+ 1 3.20000+ 1 4.67283- 5 3.64245- 3 2.40000+ 1 3.30000+ 1 3.08437- 4 3.64523- 3 2.40000+ 1 4.10000+ 1 7.49788- 5 3.65621- 3 2.40000+ 1 4.30000+ 1 1.81111- 7 3.66426- 3 2.40000+ 1 4.40000+ 1 1.08665- 6 3.66597- 3 2.50000+ 1 2.50000+ 1 1.34958- 3 3.52868- 3 2.50000+ 1 2.70000+ 1 8.74875- 4 3.52366- 3 2.50000+ 1 2.90000+ 1 7.54183- 5 3.56558- 3 2.50000+ 1 3.00000+ 1 1.17850- 4 3.58885- 3 2.50000+ 1 3.20000+ 1 3.29669- 4 3.64768- 3 2.50000+ 1 3.30000+ 1 1.77223- 4 3.65046- 3 2.50000+ 1 4.10000+ 1 9.23558- 5 3.66144- 3 2.50000+ 1 4.30000+ 1 1.78291- 6 3.66949- 3 2.50000+ 1 4.40000+ 1 2.13950- 6 3.67120- 3 2.70000+ 1 2.70000+ 1 8.01752- 5 3.51864- 3 2.70000+ 1 2.90000+ 1 1.26942- 4 3.56056- 3 2.70000+ 1 3.00000+ 1 2.00446- 4 3.58383- 3 2.70000+ 1 3.20000+ 1 1.44899- 4 3.64266- 3 2.70000+ 1 3.30000+ 1 1.96467- 4 3.64544- 3 2.70000+ 1 4.10000+ 1 1.79566- 5 3.65642- 3 2.70000+ 1 4.30000+ 1 2.92313- 6 3.66447- 3 2.70000+ 1 4.40000+ 1 3.75814- 6 3.66618- 3 2.90000+ 1 2.90000+ 1 5.60692- 6 3.60248- 3 2.90000+ 1 3.00000+ 1 1.71018- 5 3.62575- 3 2.90000+ 1 3.20000+ 1 5.32657- 6 3.68458- 3 2.90000+ 1 3.30000+ 1 4.76587- 6 3.68736- 3 2.90000+ 1 4.10000+ 1 1.82229- 5 3.69834- 3 2.90000+ 1 4.30000+ 1 2.80346- 7 3.70639- 3 2.90000+ 1 4.40000+ 1 2.80346- 7 3.70810- 3 3.00000+ 1 3.00000+ 1 2.18292- 5 3.64902- 3 3.00000+ 1 3.20000+ 1 1.57983- 5 3.70785- 3 3.00000+ 1 3.30000+ 1 3.33185- 5 3.71063- 3 3.00000+ 1 4.10000+ 1 2.95846- 5 3.72161- 3 3.00000+ 1 4.30000+ 1 2.87232- 7 3.72966- 3 3.00000+ 1 4.40000+ 1 8.61716- 7 3.73137- 3 3.20000+ 1 3.20000+ 1 7.88313- 7 3.76668- 3 3.20000+ 1 3.30000+ 1 3.54742- 6 3.76946- 3 3.20000+ 1 4.10000+ 1 1.45841- 5 3.78044- 3 3.20000+ 1 4.40000+ 1 1.97079- 7 3.79020- 3 3.30000+ 1 3.30000+ 1 2.01305- 6 3.77224- 3 3.30000+ 1 4.10000+ 1 1.84839- 5 3.78322- 3 3.30000+ 1 4.40000+ 1 3.66010- 7 3.79298- 3 4.10000+ 1 4.10000+ 1 9.05547- 7 3.79420- 3 4.10000+ 1 4.30000+ 1 3.62223- 7 3.80225- 3 4.10000+ 1 4.40000+ 1 3.62223- 7 3.80396- 3 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.07090- 3 9.54600- 4 1.60000+ 1 7.58418- 4 2.67258- 3 2.10000+ 1 4.03439- 3 3.11407- 3 2.70000+ 1 1.66440- 4 3.39647- 3 3.20000+ 1 5.87569- 4 3.52049- 3 4.10000+ 1 2.12990- 5 3.53425- 3 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 6.06199- 3 5.94700- 5 1.10000+ 1 2.20000+ 1 1.47641- 2 8.22100- 5 1.10000+ 1 2.40000+ 1 2.84209- 2 3.41660- 4 1.10000+ 1 2.50000+ 1 2.57864- 2 3.46890- 4 1.10000+ 1 2.70000+ 1 3.10155- 3 3.41870- 4 1.10000+ 1 2.90000+ 1 3.94896- 3 3.83790- 4 1.10000+ 1 3.00000+ 1 2.46154- 3 4.07060- 4 1.10000+ 1 3.20000+ 1 9.06147- 4 4.65890- 4 1.10000+ 1 3.30000+ 1 1.87670- 3 4.68670- 4 1.10000+ 1 4.10000+ 1 3.37278- 4 4.79650- 4 1.10000+ 1 4.30000+ 1 8.46227- 5 4.87700- 4 1.10000+ 1 4.40000+ 1 4.36078- 5 4.89410- 4 1.30000+ 1 1.60000+ 1 4.88658- 2 7.78800- 5 1.30000+ 1 1.80000+ 1 4.98317- 2 1.98580- 4 1.30000+ 1 1.90000+ 1 4.54035- 2 3.20300- 4 1.30000+ 1 2.10000+ 1 1.83298- 2 5.19370- 4 1.30000+ 1 2.20000+ 1 2.32462- 2 5.42110- 4 1.30000+ 1 2.40000+ 1 1.41803- 1 8.01560- 4 1.30000+ 1 2.50000+ 1 2.19386- 1 8.06790- 4 1.30000+ 1 2.70000+ 1 1.02368- 2 8.01770- 4 1.30000+ 1 2.90000+ 1 7.96474- 3 8.43690- 4 1.30000+ 1 3.00000+ 1 7.99329- 3 8.66960- 4 1.30000+ 1 3.20000+ 1 2.20395- 3 9.25790- 4 1.30000+ 1 3.30000+ 1 2.85480- 3 9.28570- 4 1.30000+ 1 4.10000+ 1 1.16561- 3 9.39550- 4 1.30000+ 1 4.30000+ 1 1.78409- 4 9.47600- 4 1.30000+ 1 4.40000+ 1 1.44838- 4 9.49310- 4 1.40000+ 1 1.60000+ 1 7.79039- 3 1.83580- 4 1.40000+ 1 1.80000+ 1 5.61858- 2 3.04280- 4 1.40000+ 1 1.90000+ 1 4.85370- 3 4.26000- 4 1.40000+ 1 2.10000+ 1 1.07467- 3 6.25070- 4 1.40000+ 1 2.20000+ 1 2.72884- 3 6.47810- 4 1.40000+ 1 2.40000+ 1 6.00294- 3 9.07260- 4 1.40000+ 1 2.50000+ 1 4.05966- 3 9.12490- 4 1.40000+ 1 2.70000+ 1 1.08907- 3 9.07470- 4 1.40000+ 1 2.90000+ 1 7.05075- 3 9.49390- 4 1.40000+ 1 3.00000+ 1 7.57796- 4 9.72660- 4 1.40000+ 1 3.20000+ 1 6.43711- 5 1.03149- 3 1.40000+ 1 3.30000+ 1 2.83798- 4 1.03427- 3 1.40000+ 1 4.10000+ 1 1.17669- 4 1.04525- 3 1.40000+ 1 4.30000+ 1 1.53495- 4 1.05330- 3 1.40000+ 1 4.40000+ 1 1.38446- 5 1.05501- 3 1.60000+ 1 1.60000+ 1 7.30685- 4 1.79586- 3 1.60000+ 1 1.80000+ 1 1.07209- 2 1.91656- 3 1.60000+ 1 1.90000+ 1 1.47242- 3 2.03828- 3 1.60000+ 1 2.10000+ 1 3.68451- 4 2.23735- 3 1.60000+ 1 2.20000+ 1 1.25210- 3 2.26009- 3 1.60000+ 1 2.40000+ 1 4.66576- 5 2.51954- 3 1.60000+ 1 2.50000+ 1 8.99047- 4 2.52477- 3 1.60000+ 1 2.70000+ 1 2.39541- 4 2.51975- 3 1.60000+ 1 2.90000+ 1 1.30839- 3 2.56167- 3 1.60000+ 1 3.00000+ 1 2.43405- 4 2.58494- 3 1.60000+ 1 3.20000+ 1 3.12653- 5 2.64377- 3 1.60000+ 1 3.30000+ 1 1.28914- 4 2.64655- 3 1.60000+ 1 4.10000+ 1 2.64556- 5 2.65753- 3 1.60000+ 1 4.30000+ 1 2.83798- 5 2.66558- 3 1.60000+ 1 4.40000+ 1 4.32942- 6 2.66729- 3 1.80000+ 1 1.80000+ 1 8.26277- 3 2.03726- 3 1.80000+ 1 1.90000+ 1 2.30820- 2 2.15898- 3 1.80000+ 1 2.10000+ 1 2.30467- 2 2.35805- 3 1.80000+ 1 2.20000+ 1 3.66452- 2 2.38079- 3 1.80000+ 1 2.40000+ 1 1.35610- 2 2.64024- 3 1.80000+ 1 2.50000+ 1 2.27233- 2 2.64547- 3 1.80000+ 1 2.70000+ 1 2.27089- 3 2.64045- 3 1.80000+ 1 2.90000+ 1 2.62180- 3 2.68237- 3 1.80000+ 1 3.00000+ 1 4.19355- 3 2.70564- 3 1.80000+ 1 3.20000+ 1 2.67857- 3 2.76447- 3 1.80000+ 1 3.30000+ 1 4.07319- 3 2.76725- 3 1.80000+ 1 4.10000+ 1 2.62649- 4 2.77823- 3 1.80000+ 1 4.30000+ 1 5.96481- 5 2.78628- 3 1.80000+ 1 4.40000+ 1 7.84067- 5 2.78799- 3 1.90000+ 1 1.90000+ 1 6.20547- 4 2.28070- 3 1.90000+ 1 2.10000+ 1 1.53115- 3 2.47977- 3 1.90000+ 1 2.20000+ 1 1.34212- 3 2.50251- 3 1.90000+ 1 2.40000+ 1 9.26055- 3 2.76196- 3 1.90000+ 1 2.50000+ 1 2.55780- 3 2.76719- 3 1.90000+ 1 2.70000+ 1 2.01075- 4 2.76217- 3 1.90000+ 1 2.90000+ 1 2.87908- 3 2.80409- 3 1.90000+ 1 3.00000+ 1 1.90485- 4 2.82736- 3 1.90000+ 1 3.20000+ 1 1.42869- 4 2.88619- 3 1.90000+ 1 3.30000+ 1 1.33252- 4 2.88897- 3 1.90000+ 1 4.10000+ 1 2.16473- 5 2.89995- 3 1.90000+ 1 4.30000+ 1 6.30182- 5 2.90800- 3 1.90000+ 1 4.40000+ 1 3.36738- 6 2.90971- 3 2.10000+ 1 2.10000+ 1 8.06711- 4 2.67884- 3 2.10000+ 1 2.20000+ 1 1.91793- 3 2.70158- 3 2.10000+ 1 2.40000+ 1 1.00253- 3 2.96103- 3 2.10000+ 1 2.50000+ 1 1.71252- 3 2.96626- 3 2.10000+ 1 2.70000+ 1 7.40803- 5 2.96124- 3 2.10000+ 1 2.90000+ 1 2.79761- 3 3.00316- 3 2.10000+ 1 3.00000+ 1 2.50625- 4 3.02643- 3 2.10000+ 1 3.20000+ 1 1.55380- 4 3.08526- 3 2.10000+ 1 3.30000+ 1 1.97718- 4 3.08804- 3 2.10000+ 1 4.10000+ 1 8.65879- 6 3.09902- 3 2.10000+ 1 4.30000+ 1 6.06116- 5 3.10707- 3 2.10000+ 1 4.40000+ 1 4.81063- 6 3.10878- 3 2.20000+ 1 2.20000+ 1 4.88737- 4 2.72432- 3 2.20000+ 1 2.40000+ 1 2.81548- 3 2.98377- 3 2.20000+ 1 2.50000+ 1 6.48436- 4 2.98900- 3 2.20000+ 1 2.70000+ 1 2.11168- 4 2.98398- 3 2.20000+ 1 2.90000+ 1 4.50908- 3 3.02590- 3 2.20000+ 1 3.00000+ 1 1.89530- 4 3.04917- 3 2.20000+ 1 3.20000+ 1 1.86648- 4 3.10800- 3 2.20000+ 1 3.30000+ 1 9.33240- 5 3.11078- 3 2.20000+ 1 4.10000+ 1 2.35711- 5 3.12176- 3 2.20000+ 1 4.30000+ 1 9.81340- 5 3.12981- 3 2.20000+ 1 4.40000+ 1 3.36738- 6 3.13152- 3 2.40000+ 1 2.40000+ 1 3.35633- 3 3.24322- 3 2.40000+ 1 2.50000+ 1 2.15520- 2 3.24845- 3 2.40000+ 1 2.70000+ 1 5.29158- 6 3.24343- 3 2.40000+ 1 2.90000+ 1 1.52009- 3 3.28535- 3 2.40000+ 1 3.00000+ 1 1.57976- 3 3.30862- 3 2.40000+ 1 3.20000+ 1 1.28920- 4 3.36745- 3 2.40000+ 1 3.30000+ 1 3.54994- 4 3.37023- 3 2.40000+ 1 4.10000+ 1 4.81061- 7 3.38121- 3 2.40000+ 1 4.30000+ 1 3.27105- 5 3.38926- 3 2.40000+ 1 4.40000+ 1 2.93445- 5 3.39097- 3 2.50000+ 1 2.50000+ 1 1.12756- 3 3.25368- 3 2.50000+ 1 2.70000+ 1 1.57782- 4 3.24866- 3 2.50000+ 1 2.90000+ 1 2.50432- 3 3.29058- 3 2.50000+ 1 3.00000+ 1 3.90607- 4 3.31385- 3 2.50000+ 1 3.20000+ 1 2.05407- 4 3.37268- 3 2.50000+ 1 3.30000+ 1 7.55235- 5 3.37546- 3 2.50000+ 1 4.10000+ 1 1.77986- 5 3.38644- 3 2.50000+ 1 4.30000+ 1 5.38765- 5 3.39449- 3 2.50000+ 1 4.40000+ 1 7.21553- 6 3.39620- 3 2.70000+ 1 2.70000+ 1 2.13567- 5 3.24364- 3 2.70000+ 1 2.90000+ 1 3.01623- 4 3.28556- 3 2.70000+ 1 3.00000+ 1 3.59447- 5 3.30883- 3 2.70000+ 1 3.20000+ 1 6.25078- 6 3.36766- 3 2.70000+ 1 3.30000+ 1 2.39623- 5 3.37044- 3 2.70000+ 1 4.10000+ 1 4.68849- 6 3.38142- 3 2.70000+ 1 4.30000+ 1 6.77190- 6 3.38947- 3 2.70000+ 1 4.40000+ 1 5.20935- 7 3.39118- 3 2.90000+ 1 2.90000+ 1 2.14572- 4 3.32748- 3 2.90000+ 1 3.00000+ 1 5.76744- 4 3.35075- 3 2.90000+ 1 3.20000+ 1 3.57968- 4 3.40958- 3 2.90000+ 1 3.30000+ 1 5.51961- 4 3.41236- 3 2.90000+ 1 4.10000+ 1 3.53191- 5 3.42334- 3 2.90000+ 1 4.30000+ 1 9.48935- 6 3.43139- 3 2.90000+ 1 4.40000+ 1 1.05436- 5 3.43310- 3 3.00000+ 1 3.00000+ 1 2.70760- 5 3.37402- 3 3.00000+ 1 3.20000+ 1 4.42242- 5 3.43285- 3 3.00000+ 1 3.30000+ 1 3.51980- 5 3.43563- 3 3.00000+ 1 4.10000+ 1 6.31790- 6 3.44661- 3 3.00000+ 1 4.30000+ 1 2.16611- 5 3.45466- 3 3.00000+ 1 4.40000+ 1 9.02565- 7 3.45637- 3 3.20000+ 1 3.20000+ 1 8.70540- 6 3.49168- 3 3.20000+ 1 3.30000+ 1 2.43743- 5 3.49446- 3 3.20000+ 1 4.10000+ 1 5.80387- 7 3.50544- 3 3.20000+ 1 4.30000+ 1 8.70540- 6 3.51349- 3 3.20000+ 1 4.40000+ 1 5.80387- 7 3.51520- 3 3.30000+ 1 3.30000+ 1 7.86267- 6 3.49724- 3 3.30000+ 1 4.10000+ 1 3.93112- 6 3.50822- 3 3.30000+ 1 4.30000+ 1 1.80839- 5 3.51627- 3 3.30000+ 1 4.40000+ 1 7.86267- 7 3.51798- 3 4.10000+ 1 4.30000+ 1 4.81059- 7 3.52725- 3 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.49610- 5 4.59900- 4 1.40000+ 1 2.65420- 4 5.65600- 4 1.60000+ 1 1.40470- 3 2.17788- 3 2.10000+ 1 6.84789- 4 2.61937- 3 2.20000+ 1 5.27899- 3 2.64211- 3 2.70000+ 1 2.98390- 4 2.90177- 3 3.20000+ 1 9.27029- 5 3.02579- 3 3.30000+ 1 7.10009- 4 3.02857- 3 4.10000+ 1 3.80030- 5 3.03955- 3 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.10000+ 1 1.12296- 2 2.46700- 5 1.30000+ 1 2.20000+ 1 1.14581- 2 4.74100- 5 1.30000+ 1 2.40000+ 1 1.70430- 2 3.06860- 4 1.30000+ 1 2.50000+ 1 2.48590- 2 3.12090- 4 1.30000+ 1 2.70000+ 1 2.77753- 3 3.07070- 4 1.30000+ 1 2.90000+ 1 2.38433- 3 3.48990- 4 1.30000+ 1 3.00000+ 1 7.73350- 3 3.72260- 4 1.30000+ 1 3.20000+ 1 1.10763- 3 4.31090- 4 1.30000+ 1 3.30000+ 1 1.14041- 3 4.33870- 4 1.30000+ 1 4.10000+ 1 3.10116- 4 4.44850- 4 1.30000+ 1 4.30000+ 1 5.37607- 5 4.52900- 4 1.30000+ 1 4.40000+ 1 1.38861- 4 4.54610- 4 1.40000+ 1 2.10000+ 1 4.93087- 2 1.30370- 4 1.40000+ 1 2.20000+ 1 6.72875- 2 1.53110- 4 1.40000+ 1 2.40000+ 1 1.85562- 1 4.12560- 4 1.40000+ 1 2.50000+ 1 2.24085- 1 4.17790- 4 1.40000+ 1 2.70000+ 1 1.65844- 2 4.12770- 4 1.40000+ 1 2.90000+ 1 1.60864- 2 4.54690- 4 1.40000+ 1 3.00000+ 1 1.94880- 2 4.77960- 4 1.40000+ 1 3.20000+ 1 4.86191- 3 5.36790- 4 1.40000+ 1 3.30000+ 1 6.84922- 3 5.39570- 4 1.40000+ 1 4.10000+ 1 1.87565- 3 5.50550- 4 1.40000+ 1 4.30000+ 1 3.59514- 4 5.58600- 4 1.40000+ 1 4.40000+ 1 3.50995- 4 5.60310- 4 1.60000+ 1 1.60000+ 1 3.38960- 4 1.30116- 3 1.60000+ 1 1.80000+ 1 6.86537- 4 1.42186- 3 1.60000+ 1 1.90000+ 1 1.29383- 2 1.54358- 3 1.60000+ 1 2.10000+ 1 7.69855- 4 1.74265- 3 1.60000+ 1 2.20000+ 1 9.25359- 4 1.76539- 3 1.60000+ 1 2.40000+ 1 1.75721- 3 2.02484- 3 1.60000+ 1 2.50000+ 1 3.07471- 3 2.03007- 3 1.60000+ 1 2.70000+ 1 1.11795- 4 2.02505- 3 1.60000+ 1 2.90000+ 1 9.40086- 5 2.06697- 3 1.60000+ 1 3.00000+ 1 1.54938- 3 2.09024- 3 1.60000+ 1 3.20000+ 1 7.92726- 5 2.14907- 3 1.60000+ 1 3.30000+ 1 8.99445- 5 2.15185- 3 1.60000+ 1 4.10000+ 1 1.21957- 5 2.16283- 3 1.60000+ 1 4.30000+ 1 2.03261- 6 2.17088- 3 1.60000+ 1 4.40000+ 1 2.74402- 5 2.17259- 3 1.80000+ 1 1.80000+ 1 2.89668- 5 1.54256- 3 1.80000+ 1 1.90000+ 1 1.59687- 2 1.66428- 3 1.80000+ 1 2.10000+ 1 3.48101- 4 1.86335- 3 1.80000+ 1 2.20000+ 1 3.36951- 3 1.88609- 3 1.80000+ 1 2.40000+ 1 1.67187- 3 2.14554- 3 1.80000+ 1 2.50000+ 1 9.10574- 3 2.15077- 3 1.80000+ 1 2.70000+ 1 1.03667- 4 2.14575- 3 1.80000+ 1 2.90000+ 1 7.62260- 6 2.18767- 3 1.80000+ 1 3.00000+ 1 1.95195- 3 2.21094- 3 1.80000+ 1 3.20000+ 1 3.81130- 5 2.26977- 3 1.80000+ 1 3.30000+ 1 3.10009- 4 2.27255- 3 1.80000+ 1 4.10000+ 1 1.11797- 5 2.28353- 3 1.80000+ 1 4.40000+ 1 3.45550- 5 2.29329- 3 1.90000+ 1 1.90000+ 1 2.10244- 2 1.78600- 3 1.90000+ 1 2.10000+ 1 3.07142- 2 1.98507- 3 1.90000+ 1 2.20000+ 1 4.01567- 2 2.00781- 3 1.90000+ 1 2.40000+ 1 2.64880- 2 2.26726- 3 1.90000+ 1 2.50000+ 1 3.03228- 2 2.27249- 3 1.90000+ 1 2.70000+ 1 2.69070- 3 2.26747- 3 1.90000+ 1 2.90000+ 1 2.96921- 3 2.30939- 3 1.90000+ 1 3.00000+ 1 6.35315- 3 2.33266- 3 1.90000+ 1 3.20000+ 1 3.45867- 3 2.39149- 3 1.90000+ 1 3.30000+ 1 4.41695- 3 2.39427- 3 1.90000+ 1 4.10000+ 1 3.10008- 4 2.40525- 3 1.90000+ 1 4.30000+ 1 6.86018- 5 2.41330- 3 1.90000+ 1 4.40000+ 1 1.16371- 4 2.41501- 3 2.10000+ 1 2.10000+ 1 2.03263- 4 2.18414- 3 2.10000+ 1 2.20000+ 1 4.85259- 3 2.20688- 3 2.10000+ 1 2.40000+ 1 7.13469- 4 2.46633- 3 2.10000+ 1 2.50000+ 1 8.36441- 3 2.47156- 3 2.10000+ 1 2.70000+ 1 9.29957- 5 2.46654- 3 2.10000+ 1 2.90000+ 1 2.54085- 5 2.50846- 3 2.10000+ 1 3.00000+ 1 3.68791- 3 2.53173- 3 2.10000+ 1 3.20000+ 1 3.81127- 5 2.59056- 3 2.10000+ 1 3.30000+ 1 4.74112- 4 2.59334- 3 2.10000+ 1 4.10000+ 1 1.01632- 5 2.60432- 3 2.10000+ 1 4.30000+ 1 5.08169- 7 2.61237- 3 2.10000+ 1 4.40000+ 1 6.50453- 5 2.61408- 3 2.20000+ 1 2.20000+ 1 2.14156- 3 2.22962- 3 2.20000+ 1 2.40000+ 1 6.79279- 3 2.48907- 3 2.20000+ 1 2.50000+ 1 5.67873- 3 2.49430- 3 2.20000+ 1 2.70000+ 1 1.15354- 4 2.48928- 3 2.20000+ 1 2.90000+ 1 3.28788- 4 2.53120- 3 2.20000+ 1 3.00000+ 1 4.76212- 3 2.55447- 3 2.20000+ 1 3.20000+ 1 4.81745- 4 2.61330- 3 2.20000+ 1 3.30000+ 1 4.19736- 4 2.61608- 3 2.20000+ 1 4.10000+ 1 1.21960- 5 2.62706- 3 2.20000+ 1 4.30000+ 1 7.11441- 6 2.63511- 3 2.20000+ 1 4.40000+ 1 8.38485- 5 2.63682- 3 2.40000+ 1 2.40000+ 1 1.05598- 3 2.74852- 3 2.40000+ 1 2.50000+ 1 2.78478- 2 2.75375- 3 2.40000+ 1 2.70000+ 1 1.91066- 4 2.74873- 3 2.40000+ 1 2.90000+ 1 2.58137- 4 2.79065- 3 2.40000+ 1 3.00000+ 1 3.03246- 3 2.81392- 3 2.40000+ 1 3.20000+ 1 9.24839- 5 2.87275- 3 2.40000+ 1 3.30000+ 1 7.04812- 4 2.87553- 3 2.40000+ 1 4.10000+ 1 2.03264- 5 2.88651- 3 2.40000+ 1 4.30000+ 1 5.58993- 6 2.89456- 3 2.40000+ 1 4.40000+ 1 5.33552- 5 2.89627- 3 2.50000+ 1 2.50000+ 1 1.10018- 2 2.75898- 3 2.50000+ 1 2.70000+ 1 2.90162- 4 2.75396- 3 2.50000+ 1 2.90000+ 1 1.39544- 3 2.79588- 3 2.50000+ 1 3.00000+ 1 3.60337- 3 2.81915- 3 2.50000+ 1 3.20000+ 1 9.33483- 4 2.87798- 3 2.50000+ 1 3.30000+ 1 6.36739- 4 2.88076- 3 2.50000+ 1 4.10000+ 1 2.94728- 5 2.89174- 3 2.50000+ 1 4.30000+ 1 3.15069- 5 2.89979- 3 2.50000+ 1 4.40000+ 1 6.40276- 5 2.90150- 3 2.70000+ 1 2.70000+ 1 1.25462- 5 2.74894- 3 2.70000+ 1 2.90000+ 1 1.81920- 5 2.79086- 3 2.70000+ 1 3.00000+ 1 3.98970- 4 2.81413- 3 2.70000+ 1 3.20000+ 1 1.25462- 5 2.87296- 3 2.70000+ 1 3.30000+ 1 1.44283- 5 2.87574- 3 2.70000+ 1 4.10000+ 1 2.50923- 6 2.88672- 3 2.70000+ 1 4.30000+ 1 6.27320- 7 2.89477- 3 2.70000+ 1 4.40000+ 1 6.90060- 6 2.89648- 3 2.90000+ 1 2.90000+ 1 6.12614- 7 2.83278- 3 2.90000+ 1 3.00000+ 1 4.39850- 4 2.85605- 3 2.90000+ 1 3.20000+ 1 3.06308- 6 2.91488- 3 2.90000+ 1 3.30000+ 1 3.79823- 5 2.91766- 3 2.90000+ 1 4.10000+ 1 1.83782- 6 2.92864- 3 2.90000+ 1 4.40000+ 1 7.96389- 6 2.93840- 3 3.00000+ 1 3.00000+ 1 6.66111- 4 2.87932- 3 3.00000+ 1 3.20000+ 1 6.04972- 4 2.93815- 3 3.00000+ 1 3.30000+ 1 7.62679- 4 2.94093- 3 3.00000+ 1 4.10000+ 1 5.37927- 5 2.95191- 3 3.00000+ 1 4.30000+ 1 1.25268- 5 2.95996- 3 3.00000+ 1 4.40000+ 1 2.43168- 5 2.96167- 3 3.20000+ 1 3.20000+ 1 2.03265- 6 2.99698- 3 3.20000+ 1 3.30000+ 1 4.97994- 5 2.99976- 3 3.20000+ 1 4.10000+ 1 1.01633- 6 3.01074- 3 3.20000+ 1 4.40000+ 1 7.62260- 6 3.02050- 3 3.30000+ 1 3.30000+ 1 2.44133- 5 3.00254- 3 3.30000+ 1 4.10000+ 1 1.16256- 6 3.01352- 3 3.30000+ 1 4.30000+ 1 5.81288- 7 3.02157- 3 3.30000+ 1 4.40000+ 1 1.04629- 5 3.02328- 3 4.10000+ 1 4.40000+ 1 5.08169- 7 3.03426- 3 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.01990- 3 1.83868- 3 1.90000+ 1 2.01990- 4 1.96040- 3 2.40000+ 1 3.29020- 2 2.44166- 3 2.90000+ 1 4.98390- 4 2.48379- 3 3.00000+ 1 5.02290- 5 2.50706- 3 4.30000+ 1 7.33799- 6 2.58770- 3 4.40000+ 1 6.05180- 7 2.58941- 3 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 2.90000+ 1 1.58399- 3 0.00000+ 0 1.40000+ 1 3.00000+ 1 7.35349- 3 1.80600- 5 1.40000+ 1 3.20000+ 1 4.41271- 2 7.68900- 5 1.40000+ 1 3.30000+ 1 6.12658- 3 7.96700- 5 1.40000+ 1 4.10000+ 1 6.78724- 4 9.06500- 5 1.40000+ 1 4.30000+ 1 8.30838- 5 9.87000- 5 1.40000+ 1 4.40000+ 1 1.49982- 4 1.00410- 4 1.60000+ 1 1.60000+ 1 2.58960- 5 8.41260- 4 1.60000+ 1 1.80000+ 1 1.18150- 3 9.61960- 4 1.60000+ 1 1.90000+ 1 9.12839- 4 1.08368- 3 1.60000+ 1 2.10000+ 1 3.44101- 2 1.28275- 3 1.60000+ 1 2.20000+ 1 3.98604- 3 1.30549- 3 1.60000+ 1 2.40000+ 1 1.55013- 2 1.56494- 3 1.60000+ 1 2.50000+ 1 4.22120- 3 1.57017- 3 1.60000+ 1 2.70000+ 1 1.94227- 5 1.56515- 3 1.60000+ 1 2.90000+ 1 1.78031- 4 1.60707- 3 1.60000+ 1 3.00000+ 1 1.11138- 4 1.63034- 3 1.60000+ 1 3.20000+ 1 2.80653- 3 1.68917- 3 1.60000+ 1 3.30000+ 1 3.32338- 4 1.69195- 3 1.60000+ 1 4.10000+ 1 2.15801- 6 1.70293- 3 1.60000+ 1 4.30000+ 1 4.31602- 6 1.71098- 3 1.60000+ 1 4.40000+ 1 2.15801- 6 1.71269- 3 1.80000+ 1 1.80000+ 1 6.88405- 4 1.08266- 3 1.80000+ 1 1.90000+ 1 4.55669- 3 1.20438- 3 1.80000+ 1 2.10000+ 1 3.08196- 2 1.40345- 3 1.80000+ 1 2.20000+ 1 2.15155- 3 1.42619- 3 1.80000+ 1 2.40000+ 1 1.01916- 2 1.68564- 3 1.80000+ 1 2.50000+ 1 5.13092- 3 1.69087- 3 1.80000+ 1 2.70000+ 1 1.59696- 4 1.68585- 3 1.80000+ 1 2.90000+ 1 2.07177- 4 1.72777- 3 1.80000+ 1 3.00000+ 1 6.17227- 4 1.75104- 3 1.80000+ 1 3.20000+ 1 2.49578- 3 1.80987- 3 1.80000+ 1 3.30000+ 1 2.05015- 4 1.81265- 3 1.80000+ 1 4.10000+ 1 1.72644- 5 1.82363- 3 1.80000+ 1 4.30000+ 1 4.31605- 6 1.83168- 3 1.80000+ 1 4.40000+ 1 1.07902- 5 1.83339- 3 1.90000+ 1 1.90000+ 1 1.61317- 3 1.32610- 3 1.90000+ 1 2.10000+ 1 6.17767- 2 1.52517- 3 1.90000+ 1 2.20000+ 1 2.34585- 3 1.54791- 3 1.90000+ 1 2.40000+ 1 3.26180- 3 1.80736- 3 1.90000+ 1 2.50000+ 1 2.11925- 3 1.81259- 3 1.90000+ 1 2.70000+ 1 1.45660- 4 1.80757- 3 1.90000+ 1 2.90000+ 1 5.50286- 4 1.84949- 3 1.90000+ 1 3.00000+ 1 4.17595- 4 1.87276- 3 1.90000+ 1 3.20000+ 1 5.05515- 3 1.93159- 3 1.90000+ 1 3.30000+ 1 2.02851- 4 1.93437- 3 1.90000+ 1 4.10000+ 1 1.61855- 5 1.94535- 3 1.90000+ 1 4.30000+ 1 1.18686- 5 1.95340- 3 1.90000+ 1 4.40000+ 1 7.55289- 6 1.95511- 3 2.10000+ 1 2.10000+ 1 5.55598- 2 1.72424- 3 2.10000+ 1 2.20000+ 1 1.10221- 1 1.74698- 3 2.10000+ 1 2.40000+ 1 5.96126- 2 2.00643- 3 2.10000+ 1 2.50000+ 1 7.20321- 2 2.01166- 3 2.10000+ 1 2.70000+ 1 6.59055- 3 2.00664- 3 2.10000+ 1 2.90000+ 1 5.77361- 3 2.04856- 3 2.10000+ 1 3.00000+ 1 1.09146- 2 2.07183- 3 2.10000+ 1 3.20000+ 1 1.08757- 2 2.13066- 3 2.10000+ 1 3.30000+ 1 1.19803- 2 2.13344- 3 2.10000+ 1 4.10000+ 1 7.53151- 4 2.14442- 3 2.10000+ 1 4.30000+ 1 1.33797- 4 2.15247- 3 2.10000+ 1 4.40000+ 1 2.02852- 4 2.15418- 3 2.20000+ 1 2.20000+ 1 1.76527- 3 1.76972- 3 2.20000+ 1 2.40000+ 1 6.72103- 2 2.02917- 3 2.20000+ 1 2.50000+ 1 3.37406- 3 2.03440- 3 2.20000+ 1 2.70000+ 1 4.12168- 4 2.02938- 3 2.20000+ 1 2.90000+ 1 2.52495- 4 2.07130- 3 2.20000+ 1 3.00000+ 1 3.35573- 4 2.09457- 3 2.20000+ 1 3.20000+ 1 9.06579- 3 2.15340- 3 2.20000+ 1 3.30000+ 1 3.18312- 4 2.15618- 3 2.20000+ 1 4.10000+ 1 4.31600- 5 2.16716- 3 2.20000+ 1 4.30000+ 1 5.39491- 6 2.17521- 3 2.20000+ 1 4.40000+ 1 6.47391- 6 2.17692- 3 2.40000+ 1 2.40000+ 1 6.30683- 2 2.28862- 3 2.40000+ 1 2.50000+ 1 1.82429- 1 2.29385- 3 2.40000+ 1 2.70000+ 1 3.11611- 3 2.28883- 3 2.40000+ 1 2.90000+ 1 1.57001- 3 2.33075- 3 2.40000+ 1 3.00000+ 1 5.89130- 4 2.35402- 3 2.40000+ 1 3.20000+ 1 5.26322- 3 2.41285- 3 2.40000+ 1 3.30000+ 1 6.98332- 3 2.41563- 3 2.40000+ 1 4.10000+ 1 3.54988- 4 2.42661- 3 2.40000+ 1 4.30000+ 1 3.45277- 5 2.43466- 3 2.40000+ 1 4.40000+ 1 1.07898- 5 2.43637- 3 2.50000+ 1 2.50000+ 1 3.51577- 3 2.29908- 3 2.50000+ 1 2.70000+ 1 5.58523- 4 2.29406- 3 2.50000+ 1 2.90000+ 1 3.91841- 4 2.33598- 3 2.50000+ 1 3.00000+ 1 3.13482- 4 2.35925- 3 2.50000+ 1 3.20000+ 1 5.03542- 3 2.41808- 3 2.50000+ 1 3.30000+ 1 3.03556- 4 2.42086- 3 2.50000+ 1 4.10000+ 1 6.05161- 5 2.43184- 3 2.50000+ 1 4.30000+ 1 7.93637- 6 2.43989- 3 2.50000+ 1 4.40000+ 1 5.95198- 6 2.44160- 3 2.70000+ 1 2.70000+ 1 2.43065- 6 2.28904- 3 2.70000+ 1 2.90000+ 1 2.91676- 5 2.33096- 3 2.70000+ 1 3.00000+ 1 2.06616- 5 2.35423- 3 2.70000+ 1 3.20000+ 1 6.10107- 4 2.41306- 3 2.70000+ 1 3.30000+ 1 4.25369- 5 2.41584- 3 2.70000+ 1 4.30000+ 1 1.21533- 6 2.43487- 3 2.90000+ 1 2.90000+ 1 2.30739- 5 2.37288- 3 2.90000+ 1 3.00000+ 1 1.13830- 4 2.39615- 3 2.90000+ 1 3.20000+ 1 6.69158- 4 2.45498- 3 2.90000+ 1 3.30000+ 1 3.84561- 5 2.45776- 3 2.90000+ 1 4.10000+ 1 4.61479- 6 2.46874- 3 2.90000+ 1 4.30000+ 1 1.53822- 6 2.47679- 3 2.90000+ 1 4.40000+ 1 1.53822- 6 2.47850- 3 3.00000+ 1 3.00000+ 1 4.40649- 5 2.41942- 3 3.00000+ 1 3.20000+ 1 1.41181- 3 2.47825- 3 3.00000+ 1 3.30000+ 1 4.91495- 5 2.48103- 3 3.00000+ 1 4.10000+ 1 3.38958- 6 2.49201- 3 3.00000+ 1 4.30000+ 1 3.38958- 6 2.50006- 3 3.00000+ 1 4.40000+ 1 1.69480- 6 2.50177- 3 3.20000+ 1 3.20000+ 1 5.16859- 4 2.53708- 3 3.20000+ 1 3.30000+ 1 9.90580- 4 2.53986- 3 3.20000+ 1 4.10000+ 1 6.15049- 5 2.55084- 3 3.20000+ 1 4.30000+ 1 1.07902- 5 2.55889- 3 3.20000+ 1 4.40000+ 1 1.72645- 5 2.56060- 3 3.30000+ 1 3.30000+ 1 1.46825- 5 2.54264- 3 3.30000+ 1 4.10000+ 1 4.51766- 6 2.55362- 3 3.30000+ 1 4.30000+ 1 1.12942- 6 2.56167- 3 3.30000+ 1 4.40000+ 1 1.12942- 6 2.56338- 3 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.53741- 3 1.85470- 3 2.40000+ 1 1.63041- 3 2.33596- 3 2.50000+ 1 3.18692- 2 2.34119- 3 3.00000+ 1 3.75762- 4 2.40136- 3 4.40000+ 1 4.46532- 6 2.48371- 3 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.80000+ 1 2.58432- 4 8.56260- 4 1.60000+ 1 1.90000+ 1 2.07295- 3 9.77980- 4 1.60000+ 1 2.10000+ 1 3.46874- 3 1.17705- 3 1.60000+ 1 2.20000+ 1 3.75902- 2 1.19979- 3 1.60000+ 1 2.40000+ 1 4.39461- 3 1.45924- 3 1.60000+ 1 2.50000+ 1 1.64574- 2 1.46447- 3 1.60000+ 1 2.70000+ 1 1.19944- 5 1.45945- 3 1.60000+ 1 2.90000+ 1 1.52668- 5 1.50137- 3 1.60000+ 1 3.00000+ 1 2.60618- 4 1.52464- 3 1.60000+ 1 3.20000+ 1 2.78058- 4 1.58347- 3 1.60000+ 1 3.30000+ 1 2.98569- 3 1.58625- 3 1.60000+ 1 4.10000+ 1 1.09043- 6 1.59723- 3 1.60000+ 1 4.40000+ 1 4.36172- 6 1.60699- 3 1.80000+ 1 1.90000+ 1 5.63119- 3 1.09868- 3 1.80000+ 1 2.10000+ 1 2.81336- 4 1.29775- 3 1.80000+ 1 2.20000+ 1 3.87993- 2 1.32049- 3 1.80000+ 1 2.40000+ 1 2.23203- 3 1.57994- 3 1.80000+ 1 2.50000+ 1 8.86200- 3 1.58517- 3 1.80000+ 1 2.70000+ 1 3.38038- 5 1.58015- 3 1.80000+ 1 2.90000+ 1 2.18085- 6 1.62207- 3 1.80000+ 1 3.00000+ 1 7.06623- 4 1.64534- 3 1.80000+ 1 3.20000+ 1 8.72369- 6 1.70417- 3 1.80000+ 1 3.30000+ 1 3.08276- 3 1.70695- 3 1.80000+ 1 4.10000+ 1 3.27137- 6 1.71793- 3 1.80000+ 1 4.40000+ 1 1.30855- 5 1.72769- 3 1.90000+ 1 1.90000+ 1 3.83184- 3 1.22040- 3 1.90000+ 1 2.10000+ 1 3.59295- 3 1.41947- 3 1.90000+ 1 2.20000+ 1 5.83592- 2 1.44221- 3 1.90000+ 1 2.40000+ 1 2.37055- 3 1.70166- 3 1.90000+ 1 2.50000+ 1 4.53720- 3 1.70689- 3 1.90000+ 1 2.70000+ 1 3.43494- 4 1.70187- 3 1.90000+ 1 2.90000+ 1 6.52078- 4 1.74379- 3 1.90000+ 1 3.00000+ 1 9.92334- 4 1.76706- 3 1.90000+ 1 3.20000+ 1 3.51126- 4 1.82589- 3 1.90000+ 1 3.30000+ 1 4.61689- 3 1.82867- 3 1.90000+ 1 4.10000+ 1 3.81654- 5 1.83965- 3 1.90000+ 1 4.30000+ 1 1.41756- 5 1.84770- 3 1.90000+ 1 4.40000+ 1 1.74471- 5 1.84941- 3 2.10000+ 1 2.10000+ 1 7.81811- 4 1.61854- 3 2.10000+ 1 2.20000+ 1 8.08213- 2 1.64128- 3 2.10000+ 1 2.40000+ 1 2.99417- 3 1.90073- 3 2.10000+ 1 2.50000+ 1 4.11266- 2 1.90596- 3 2.10000+ 1 2.70000+ 1 3.40198- 4 1.90094- 3 2.10000+ 1 2.90000+ 1 5.88819- 5 1.94286- 3 2.10000+ 1 3.00000+ 1 4.66684- 4 1.96613- 3 2.10000+ 1 3.20000+ 1 1.40656- 4 2.02496- 3 2.10000+ 1 3.30000+ 1 6.47564- 3 2.02774- 3 2.10000+ 1 4.10000+ 1 3.48923- 5 2.03872- 3 2.10000+ 1 4.30000+ 1 1.09037- 6 2.04677- 3 2.10000+ 1 4.40000+ 1 8.72326- 6 2.04848- 3 2.20000+ 1 2.20000+ 1 9.03078- 2 1.66402- 3 2.20000+ 1 2.40000+ 1 6.54293- 2 1.92347- 3 2.20000+ 1 2.50000+ 1 1.04056- 1 1.92870- 3 2.20000+ 1 2.70000+ 1 6.91359- 3 1.92368- 3 2.20000+ 1 2.90000+ 1 6.95493- 3 1.96560- 3 2.20000+ 1 3.00000+ 1 1.03976- 2 1.98887- 3 2.20000+ 1 3.20000+ 1 8.98427- 3 2.04770- 3 2.20000+ 1 3.30000+ 1 1.70487- 2 2.05048- 3 2.20000+ 1 4.10000+ 1 7.86223- 4 2.06146- 3 2.20000+ 1 4.30000+ 1 1.59199- 4 2.06951- 3 2.20000+ 1 4.40000+ 1 1.94100- 4 2.07122- 3 2.40000+ 1 2.40000+ 1 5.14589- 3 2.18292- 3 2.40000+ 1 2.50000+ 1 1.64392- 1 2.18815- 3 2.40000+ 1 2.70000+ 1 6.83689- 4 2.18313- 3 2.40000+ 1 2.90000+ 1 3.70737- 4 2.22505- 3 2.40000+ 1 3.00000+ 1 3.50028- 4 2.24832- 3 2.40000+ 1 3.20000+ 1 3.22761- 4 2.30715- 3 2.40000+ 1 3.30000+ 1 4.97547- 3 2.30993- 3 2.40000+ 1 4.10000+ 1 7.52385- 5 2.32091- 3 2.40000+ 1 4.30000+ 1 8.72358- 6 2.32896- 3 2.40000+ 1 4.40000+ 1 6.54235- 6 2.33067- 3 2.50000+ 1 2.50000+ 1 1.12461- 1 2.19338- 3 2.50000+ 1 2.70000+ 1 3.23319- 3 2.18836- 3 2.50000+ 1 2.90000+ 1 1.60736- 3 2.23028- 3 2.50000+ 1 3.00000+ 1 7.73098- 4 2.25355- 3 2.50000+ 1 3.20000+ 1 4.30711- 3 2.31238- 3 2.50000+ 1 3.30000+ 1 9.16603- 3 2.31516- 3 2.50000+ 1 4.10000+ 1 3.71833- 4 2.32614- 3 2.50000+ 1 4.30000+ 1 3.70739- 5 2.33419- 3 2.50000+ 1 4.40000+ 1 1.41755- 5 2.33590- 3 2.70000+ 1 2.70000+ 1 1.40435- 6 2.18334- 3 2.70000+ 1 2.90000+ 1 2.80870- 6 2.22526- 3 2.70000+ 1 3.00000+ 1 5.75780- 5 2.24853- 3 2.70000+ 1 3.20000+ 1 3.93226- 5 2.30736- 3 2.70000+ 1 3.30000+ 1 7.13426- 4 2.31014- 3 2.70000+ 1 4.40000+ 1 1.40435- 6 2.33088- 3 2.90000+ 1 3.00000+ 1 1.08625- 4 2.29045- 3 2.90000+ 1 3.20000+ 1 4.07340- 6 2.34928- 3 2.90000+ 1 3.30000+ 1 6.96539- 4 2.35206- 3 2.90000+ 1 4.40000+ 1 1.35776- 6 2.37280- 3 3.00000+ 1 3.00000+ 1 9.54665- 5 2.31372- 3 3.00000+ 1 3.20000+ 1 7.16033- 5 2.37255- 3 3.00000+ 1 3.30000+ 1 1.20612- 3 2.37533- 3 3.00000+ 1 4.10000+ 1 7.95554- 6 2.38631- 3 3.00000+ 1 4.30000+ 1 3.18227- 6 2.39436- 3 3.00000+ 1 4.40000+ 1 3.18227- 6 2.39607- 3 3.20000+ 1 3.20000+ 1 6.54249- 6 2.43138- 3 3.20000+ 1 3.30000+ 1 7.24060- 4 2.43416- 3 3.20000+ 1 4.10000+ 1 3.27140- 6 2.44514- 3 3.20000+ 1 4.40000+ 1 1.09043- 6 2.45490- 3 3.30000+ 1 3.30000+ 1 7.85136- 4 2.43694- 3 3.30000+ 1 4.10000+ 1 6.32458- 5 2.44792- 3 3.30000+ 1 4.30000+ 1 1.30856- 5 2.45597- 3 3.30000+ 1 4.40000+ 1 1.52669- 5 2.45768- 3 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.81236- 5 1.20700- 4 1.90000+ 1 3.13135- 4 2.42420- 4 2.90000+ 1 1.99141- 4 7.65810- 4 3.00000+ 1 7.69016- 5 7.89080- 4 4.30000+ 1 6.00834- 6 8.69720- 4 4.40000+ 1 2.09158- 6 8.71430- 4 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.90000+ 1 3.00342- 2 9.79000- 6 1.80000+ 1 3.00000+ 1 5.19712- 2 3.30600- 5 1.80000+ 1 3.20000+ 1 3.64156- 2 9.18900- 5 1.80000+ 1 3.30000+ 1 5.87919- 2 9.46700- 5 1.80000+ 1 4.10000+ 1 3.81723- 3 1.05650- 4 1.80000+ 1 4.30000+ 1 6.74570- 4 1.13700- 4 1.80000+ 1 4.40000+ 1 9.04936- 4 1.15410- 4 1.90000+ 1 2.40000+ 1 6.12833- 2 8.93800- 5 1.90000+ 1 2.50000+ 1 8.72905- 2 9.46100- 5 1.90000+ 1 2.70000+ 1 4.03372- 2 8.95900- 5 1.90000+ 1 2.90000+ 1 4.69303- 2 1.31510- 4 1.90000+ 1 3.00000+ 1 4.85081- 2 1.54780- 4 1.90000+ 1 3.20000+ 1 3.82351- 2 2.13610- 4 1.90000+ 1 3.30000+ 1 4.63225- 2 2.16390- 4 1.90000+ 1 4.10000+ 1 4.57584- 3 2.27370- 4 1.90000+ 1 4.30000+ 1 1.01649- 3 2.35420- 4 1.90000+ 1 4.40000+ 1 8.89738- 4 2.37130- 4 2.10000+ 1 2.10000+ 1 3.93925- 3 6.26000- 6 2.10000+ 1 2.20000+ 1 3.56261- 3 2.90000- 5 2.10000+ 1 2.40000+ 1 4.39391- 3 2.88450- 4 2.10000+ 1 2.50000+ 1 7.58446- 3 2.93680- 4 2.10000+ 1 2.70000+ 1 1.67267- 2 2.88660- 4 2.10000+ 1 2.90000+ 1 5.07758- 3 3.30580- 4 2.10000+ 1 3.00000+ 1 7.49306- 3 3.53850- 4 2.10000+ 1 3.20000+ 1 1.64640- 3 4.12680- 4 2.10000+ 1 3.30000+ 1 1.64905- 3 4.15460- 4 2.10000+ 1 4.10000+ 1 1.46500- 3 4.26440- 4 2.10000+ 1 4.30000+ 1 1.12861- 4 4.34490- 4 2.10000+ 1 4.40000+ 1 1.19973- 4 4.36200- 4 2.20000+ 1 2.20000+ 1 5.29382- 3 5.17400- 5 2.20000+ 1 2.40000+ 1 8.68389- 3 3.11190- 4 2.20000+ 1 2.50000+ 1 8.78460- 3 3.16420- 4 2.20000+ 1 2.70000+ 1 2.34850- 2 3.11400- 4 2.20000+ 1 2.90000+ 1 9.31325- 3 3.53320- 4 2.20000+ 1 3.00000+ 1 7.99311- 3 3.76590- 4 2.20000+ 1 3.20000+ 1 1.40436- 3 4.35420- 4 2.20000+ 1 3.30000+ 1 2.35778- 3 4.38200- 4 2.20000+ 1 4.10000+ 1 2.04800- 3 4.49180- 4 2.20000+ 1 4.30000+ 1 1.84452- 4 4.57230- 4 2.20000+ 1 4.40000+ 1 1.38616- 4 4.58940- 4 2.40000+ 1 2.40000+ 1 9.01888- 3 5.70640- 4 2.40000+ 1 2.50000+ 1 1.80337- 2 5.75870- 4 2.40000+ 1 2.70000+ 1 2.04745- 2 5.70850- 4 2.40000+ 1 2.90000+ 1 2.74851- 3 6.12770- 4 2.40000+ 1 3.00000+ 1 9.45662- 3 6.36040- 4 2.40000+ 1 3.20000+ 1 7.99881- 4 6.94870- 4 2.40000+ 1 3.30000+ 1 5.26345- 4 6.97650- 4 2.40000+ 1 4.10000+ 1 1.59357- 3 7.08630- 4 2.40000+ 1 4.30000+ 1 5.19778- 5 7.16680- 4 2.40000+ 1 4.40000+ 1 1.48870- 4 7.18390- 4 2.50000+ 1 2.50000+ 1 1.50156- 2 5.81100- 4 2.50000+ 1 2.70000+ 1 2.66811- 2 5.76080- 4 2.50000+ 1 2.90000+ 1 1.48142- 3 6.18000- 4 2.50000+ 1 3.00000+ 1 1.08456- 2 6.41270- 4 2.50000+ 1 3.20000+ 1 4.87690- 4 7.00100- 4 2.50000+ 1 3.30000+ 1 1.16275- 3 7.02880- 4 2.50000+ 1 4.10000+ 1 2.07089- 3 7.13860- 4 2.50000+ 1 4.30000+ 1 2.73275- 5 7.21910- 4 2.50000+ 1 4.40000+ 1 1.66497- 4 7.23620- 4 2.70000+ 1 2.70000+ 1 1.65956- 2 5.71060- 4 2.70000+ 1 2.90000+ 1 2.32232- 2 6.12980- 4 2.70000+ 1 3.00000+ 1 3.69499- 2 6.36250- 4 2.70000+ 1 3.20000+ 1 2.73144- 2 6.95080- 4 2.70000+ 1 3.30000+ 1 3.72645- 2 6.97860- 4 2.70000+ 1 4.10000+ 1 3.26478- 3 7.08840- 4 2.70000+ 1 4.30000+ 1 5.40238- 4 7.16890- 4 2.70000+ 1 4.40000+ 1 6.86951- 4 7.18600- 4 2.90000+ 1 2.90000+ 1 2.25791- 3 6.54900- 4 2.90000+ 1 3.00000+ 1 9.37785- 3 6.78170- 4 2.90000+ 1 3.20000+ 1 3.10035- 3 7.37000- 4 2.90000+ 1 3.30000+ 1 2.51883- 3 7.39780- 4 2.90000+ 1 4.10000+ 1 2.24658- 3 7.50760- 4 2.90000+ 1 4.30000+ 1 9.07694- 5 7.58810- 4 2.90000+ 1 4.40000+ 1 1.44660- 4 7.60520- 4 3.00000+ 1 3.00000+ 1 6.29772- 3 7.01440- 4 3.00000+ 1 3.20000+ 1 2.89344- 3 7.60270- 4 3.00000+ 1 3.30000+ 1 5.40604- 3 7.63050- 4 3.00000+ 1 4.10000+ 1 3.56444- 3 7.74030- 4 3.00000+ 1 4.30000+ 1 1.90493- 4 7.82080- 4 3.00000+ 1 4.40000+ 1 2.09830- 4 7.83790- 4 3.20000+ 1 3.20000+ 1 7.86711- 4 8.19100- 4 3.20000+ 1 3.30000+ 1 2.37046- 3 8.21880- 4 3.20000+ 1 4.10000+ 1 3.23684- 3 8.32860- 4 3.20000+ 1 4.30000+ 1 7.24614- 5 8.40910- 4 3.20000+ 1 4.40000+ 1 4.83102- 5 8.42620- 4 3.30000+ 1 3.30000+ 1 1.54394- 3 8.24660- 4 3.30000+ 1 4.10000+ 1 4.42751- 3 8.35640- 4 3.30000+ 1 4.30000+ 1 5.53877- 5 8.43690- 4 3.30000+ 1 4.40000+ 1 1.03852- 4 8.45400- 4 4.10000+ 1 4.10000+ 1 2.11949- 4 8.46620- 4 4.10000+ 1 4.30000+ 1 5.86970- 5 8.54670- 4 4.10000+ 1 4.40000+ 1 7.82632- 5 8.56380- 4 4.30000+ 1 4.40000+ 1 3.26119- 6 8.64430- 4 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 9.22136- 4 3.20790- 4 2.70000+ 1 2.04515- 4 6.03190- 4 3.20000+ 1 3.76556- 5 7.27210- 4 4.10000+ 1 2.67291- 5 7.40970- 4 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 1.51175- 2 1.08100- 5 1.90000+ 1 3.00000+ 1 2.16948- 2 3.40800- 5 1.90000+ 1 3.20000+ 1 6.71215- 3 9.29100- 5 1.90000+ 1 3.30000+ 1 1.04269- 2 9.56900- 5 1.90000+ 1 4.10000+ 1 1.56892- 3 1.06670- 4 1.90000+ 1 4.30000+ 1 3.48434- 4 1.14720- 4 1.90000+ 1 4.40000+ 1 3.21618- 4 1.16430- 4 2.10000+ 1 2.40000+ 1 1.33801- 1 1.67750- 4 2.10000+ 1 2.50000+ 1 2.97990- 1 1.72980- 4 2.10000+ 1 2.70000+ 1 3.82490- 2 1.67960- 4 2.10000+ 1 2.90000+ 1 2.98588- 2 2.09880- 4 2.10000+ 1 3.00000+ 1 4.25340- 2 2.33150- 4 2.10000+ 1 3.20000+ 1 1.97963- 2 2.91980- 4 2.10000+ 1 3.30000+ 1 3.21402- 2 2.94760- 4 2.10000+ 1 4.10000+ 1 4.39648- 3 3.05740- 4 2.10000+ 1 4.30000+ 1 6.48315- 4 3.13790- 4 2.10000+ 1 4.40000+ 1 7.77300- 4 3.15500- 4 2.20000+ 1 2.40000+ 1 4.42613- 2 1.90490- 4 2.20000+ 1 2.50000+ 1 1.13240- 2 1.95720- 4 2.20000+ 1 2.70000+ 1 6.24528- 3 1.90700- 4 2.20000+ 1 2.90000+ 1 2.56466- 2 2.32620- 4 2.20000+ 1 3.00000+ 1 5.49130- 3 2.55890- 4 2.20000+ 1 3.20000+ 1 2.38834- 3 3.14720- 4 2.20000+ 1 3.30000+ 1 2.14393- 3 3.17500- 4 2.20000+ 1 4.10000+ 1 5.61346- 4 3.28480- 4 2.20000+ 1 4.30000+ 1 4.36738- 4 3.36530- 4 2.20000+ 1 4.40000+ 1 8.65049- 5 3.38240- 4 2.40000+ 1 2.40000+ 1 2.69217- 3 4.49940- 4 2.40000+ 1 2.50000+ 1 1.72569- 2 4.55170- 4 2.40000+ 1 2.70000+ 1 4.68002- 3 4.50150- 4 2.40000+ 1 2.90000+ 1 1.98760- 2 4.92070- 4 2.40000+ 1 3.00000+ 1 3.65700- 3 5.15340- 4 2.40000+ 1 3.20000+ 1 4.52462- 3 5.74170- 4 2.40000+ 1 3.30000+ 1 2.36425- 3 5.76950- 4 2.40000+ 1 4.10000+ 1 5.42488- 4 5.87930- 4 2.40000+ 1 4.30000+ 1 3.39570- 4 5.95980- 4 2.40000+ 1 4.40000+ 1 6.22690- 5 5.97690- 4 2.50000+ 1 2.50000+ 1 8.27518- 4 4.60400- 4 2.50000+ 1 2.70000+ 1 3.00423- 3 4.55380- 4 2.50000+ 1 2.90000+ 1 3.53030- 2 4.97300- 4 2.50000+ 1 3.00000+ 1 2.11449- 3 5.20570- 4 2.50000+ 1 3.20000+ 1 1.02174- 2 5.79400- 4 2.50000+ 1 3.30000+ 1 8.61489- 4 5.82180- 4 2.50000+ 1 4.10000+ 1 2.75467- 4 5.93160- 4 2.50000+ 1 4.30000+ 1 5.90504- 4 6.01210- 4 2.50000+ 1 4.40000+ 1 3.43160- 5 6.02920- 4 2.70000+ 1 2.70000+ 1 9.11896- 4 4.50360- 4 2.70000+ 1 2.90000+ 1 1.25600- 2 4.92280- 4 2.70000+ 1 3.00000+ 1 2.30378- 3 5.15550- 4 2.70000+ 1 3.20000+ 1 2.52892- 3 5.74380- 4 2.70000+ 1 3.30000+ 1 1.74454- 3 5.77160- 4 2.70000+ 1 4.10000+ 1 1.68827- 4 5.88140- 4 2.70000+ 1 4.30000+ 1 2.07869- 4 5.96190- 4 2.70000+ 1 4.40000+ 1 4.01956- 5 5.97900- 4 2.90000+ 1 2.90000+ 1 1.28980- 2 5.34200- 4 2.90000+ 1 3.00000+ 1 3.40227- 2 5.57470- 4 2.90000+ 1 3.20000+ 1 2.05509- 2 6.16300- 4 2.90000+ 1 3.30000+ 1 3.39338- 2 6.19080- 4 2.90000+ 1 4.10000+ 1 2.38247- 3 6.30060- 4 2.90000+ 1 4.30000+ 1 5.19623- 4 6.38110- 4 2.90000+ 1 4.40000+ 1 6.37552- 4 6.39820- 4 3.00000+ 1 3.00000+ 1 1.26230- 3 5.80740- 4 3.00000+ 1 3.20000+ 1 4.36781- 3 6.39570- 4 3.00000+ 1 3.30000+ 1 1.69315- 3 6.42350- 4 3.00000+ 1 4.10000+ 1 3.09313- 4 6.53330- 4 3.00000+ 1 4.30000+ 1 5.57818- 4 6.61380- 4 3.00000+ 1 4.40000+ 1 4.11216- 5 6.63090- 4 3.20000+ 1 3.20000+ 1 2.30150- 4 6.98400- 4 3.20000+ 1 3.30000+ 1 4.08334- 4 7.01180- 4 3.20000+ 1 4.10000+ 1 7.94443- 5 7.12160- 4 3.20000+ 1 4.30000+ 1 6.27717- 5 7.20210- 4 3.20000+ 1 4.40000+ 1 1.47121- 5 7.21920- 4 3.30000+ 1 3.30000+ 1 5.00170- 5 7.03960- 4 3.30000+ 1 4.10000+ 1 3.42503- 5 7.14940- 4 3.30000+ 1 4.30000+ 1 8.56270- 5 7.22990- 4 3.30000+ 1 4.40000+ 1 4.07746- 6 7.24700- 4 4.10000+ 1 4.10000+ 1 1.16584- 6 7.25920- 4 4.10000+ 1 4.30000+ 1 3.66424- 6 7.33970- 4 4.10000+ 1 4.40000+ 1 4.99663- 7 7.35680- 4 4.30000+ 1 4.40000+ 1 9.99282- 7 7.43730- 4 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.58221- 5 1.99070- 4 2.20000+ 1 2.02243- 4 2.21810- 4 2.70000+ 1 1.79367- 4 4.81470- 4 3.20000+ 1 1.10738- 5 6.05490- 4 3.30000+ 1 6.44873- 5 6.08270- 4 4.10000+ 1 2.29658- 5 6.19250- 4 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 6.20982- 3 4.60300- 5 2.10000+ 1 2.50000+ 1 7.88507- 3 5.12600- 5 2.10000+ 1 2.70000+ 1 1.75793- 2 4.62400- 5 2.10000+ 1 2.90000+ 1 1.38968- 2 8.81600- 5 2.10000+ 1 3.00000+ 1 4.37703- 2 1.11430- 4 2.10000+ 1 3.20000+ 1 1.08451- 2 1.70260- 4 2.10000+ 1 3.30000+ 1 1.85267- 2 1.73040- 4 2.10000+ 1 4.10000+ 1 1.85822- 3 1.84020- 4 2.10000+ 1 4.30000+ 1 2.95745- 4 1.92070- 4 2.10000+ 1 4.40000+ 1 6.82866- 4 1.93780- 4 2.20000+ 1 2.40000+ 1 6.41495- 2 6.87700- 5 2.20000+ 1 2.50000+ 1 8.94308- 2 7.40000- 5 2.20000+ 1 2.70000+ 1 8.93583- 2 6.89800- 5 2.20000+ 1 2.90000+ 1 9.67718- 2 1.10900- 4 2.20000+ 1 3.00000+ 1 1.19636- 1 1.34170- 4 2.20000+ 1 3.20000+ 1 8.36360- 2 1.93000- 4 2.20000+ 1 3.30000+ 1 9.69952- 2 1.95780- 4 2.20000+ 1 4.10000+ 1 1.05333- 2 2.06760- 4 2.20000+ 1 4.30000+ 1 2.11112- 3 2.14810- 4 2.20000+ 1 4.40000+ 1 2.05782- 3 2.16520- 4 2.40000+ 1 2.40000+ 1 7.82580- 4 3.28220- 4 2.40000+ 1 2.50000+ 1 1.41891- 2 3.33450- 4 2.40000+ 1 2.70000+ 1 7.07303- 3 3.28430- 4 2.40000+ 1 2.90000+ 1 3.67974- 3 3.70350- 4 2.40000+ 1 3.00000+ 1 4.67759- 2 3.93620- 4 2.40000+ 1 3.20000+ 1 1.27102- 3 4.52450- 4 2.40000+ 1 3.30000+ 1 5.86433- 3 4.55230- 4 2.40000+ 1 4.10000+ 1 5.66840- 4 4.66210- 4 2.40000+ 1 4.30000+ 1 7.47710- 5 4.74260- 4 2.40000+ 1 4.40000+ 1 6.54614- 4 4.75970- 4 2.50000+ 1 2.50000+ 1 6.69419- 3 3.38680- 4 2.50000+ 1 2.70000+ 1 1.55985- 2 3.33660- 4 2.50000+ 1 2.90000+ 1 1.32322- 2 3.75580- 4 2.50000+ 1 3.00000+ 1 5.70092- 2 3.98850- 4 2.50000+ 1 3.20000+ 1 1.13522- 3 4.57680- 4 2.50000+ 1 3.30000+ 1 7.71468- 3 4.60460- 4 2.50000+ 1 4.10000+ 1 1.45702- 3 4.71440- 4 2.50000+ 1 4.30000+ 1 2.74549- 4 4.79490- 4 2.50000+ 1 4.40000+ 1 8.04451- 4 4.81200- 4 2.70000+ 1 2.90000+ 1 2.49078- 4 3.70560- 4 2.70000+ 1 3.00000+ 1 5.28617- 3 3.93830- 4 2.70000+ 1 3.20000+ 1 4.18556- 4 4.52660- 4 2.70000+ 1 3.30000+ 1 7.53670- 4 4.55440- 4 2.70000+ 1 4.10000+ 1 2.12898- 6 4.66420- 4 2.70000+ 1 4.30000+ 1 4.25809- 6 4.74470- 4 2.70000+ 1 4.40000+ 1 7.32361- 5 4.76180- 4 2.90000+ 1 2.90000+ 1 8.60144- 6 4.12480- 4 2.90000+ 1 3.00000+ 1 5.19220- 3 4.35750- 4 2.90000+ 1 3.20000+ 1 2.04479- 4 4.94580- 4 2.90000+ 1 3.30000+ 1 6.55259- 4 4.97360- 4 2.90000+ 1 4.10000+ 1 2.34575- 5 5.08340- 4 2.90000+ 1 4.30000+ 1 3.90981- 7 5.16390- 4 2.90000+ 1 4.40000+ 1 7.31118- 5 5.18100- 4 3.00000+ 1 3.00000+ 1 7.53523- 3 4.59020- 4 3.00000+ 1 3.20000+ 1 6.77064- 3 5.17850- 4 3.00000+ 1 3.30000+ 1 8.90019- 3 5.20630- 4 3.00000+ 1 4.10000+ 1 6.56807- 4 5.31610- 4 3.00000+ 1 4.30000+ 1 1.34933- 4 5.39660- 4 3.00000+ 1 4.40000+ 1 2.46192- 4 5.41370- 4 3.20000+ 1 3.20000+ 1 7.71353- 5 5.76680- 4 3.20000+ 1 3.30000+ 1 4.71381- 4 5.79460- 4 3.20000+ 1 4.10000+ 1 2.54163- 5 5.90440- 4 3.20000+ 1 4.30000+ 1 3.25094- 6 5.98490- 4 3.20000+ 1 4.40000+ 1 6.32459- 5 6.00200- 4 3.30000+ 1 3.30000+ 1 4.32663- 4 5.82240- 4 3.30000+ 1 4.10000+ 1 5.88113- 5 5.93220- 4 3.30000+ 1 4.30000+ 1 1.03439- 5 6.01270- 4 3.30000+ 1 4.40000+ 1 8.39320- 5 6.02980- 4 4.10000+ 1 4.30000+ 1 2.95543- 7 6.12250- 4 4.10000+ 1 4.40000+ 1 5.91065- 6 6.13960- 4 4.30000+ 1 4.40000+ 1 1.18210- 6 6.22010- 4 4.40000+ 1 4.40000+ 1 2.95550- 7 6.23720- 4 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.54189- 4 2.82190- 4 2.90000+ 1 5.94327- 5 3.24320- 4 3.00000+ 1 7.77306- 6 3.47590- 4 4.30000+ 1 1.16289- 6 4.28230- 4 4.40000+ 1 1.19399- 7 4.29940- 4 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.30000+ 1 4.53079- 3 0.00000+ 0 2.20000+ 1 4.10000+ 1 8.76435- 4 7.69000- 6 2.20000+ 1 4.30000+ 1 9.13598- 5 1.57400- 5 2.20000+ 1 4.40000+ 1 2.05991- 4 1.74500- 5 2.40000+ 1 2.40000+ 1 1.10155- 1 1.29150- 4 2.40000+ 1 2.50000+ 1 3.53394- 1 1.34380- 4 2.40000+ 1 2.70000+ 1 7.30966- 2 1.29360- 4 2.40000+ 1 2.90000+ 1 6.13234- 2 1.71280- 4 2.40000+ 1 3.00000+ 1 8.34356- 2 1.94550- 4 2.40000+ 1 3.20000+ 1 7.16605- 2 2.53380- 4 2.40000+ 1 3.30000+ 1 7.20108- 2 2.56160- 4 2.40000+ 1 4.10000+ 1 8.51790- 3 2.67140- 4 2.40000+ 1 4.30000+ 1 1.38948- 3 2.75190- 4 2.40000+ 1 4.40000+ 1 1.50206- 3 2.76900- 4 2.50000+ 1 2.50000+ 1 4.93745- 3 1.39610- 4 2.50000+ 1 2.70000+ 1 6.59400- 3 1.34590- 4 2.50000+ 1 2.90000+ 1 1.28558- 2 1.76510- 4 2.50000+ 1 3.00000+ 1 5.59749- 3 1.99780- 4 2.50000+ 1 3.20000+ 1 8.06536- 2 2.58610- 4 2.50000+ 1 3.30000+ 1 3.19694- 3 2.61390- 4 2.50000+ 1 4.10000+ 1 5.85348- 4 2.72370- 4 2.50000+ 1 4.30000+ 1 2.12601- 4 2.80420- 4 2.50000+ 1 4.40000+ 1 8.61522- 5 2.82130- 4 2.70000+ 1 2.70000+ 1 8.14587- 4 1.29570- 4 2.70000+ 1 2.90000+ 1 1.71117- 3 1.71490- 4 2.70000+ 1 3.00000+ 1 1.56803- 3 1.94760- 4 2.70000+ 1 3.20000+ 1 7.15148- 3 2.53590- 4 2.70000+ 1 3.30000+ 1 1.99326- 3 2.56370- 4 2.70000+ 1 4.10000+ 1 1.09071- 4 2.67350- 4 2.70000+ 1 4.30000+ 1 2.67478- 5 2.75400- 4 2.70000+ 1 4.40000+ 1 2.25802- 5 2.77110- 4 2.90000+ 1 2.90000+ 1 3.15765- 4 2.13410- 4 2.90000+ 1 3.00000+ 1 1.76852- 3 2.36680- 4 2.90000+ 1 3.20000+ 1 4.13051- 3 2.95510- 4 2.90000+ 1 3.30000+ 1 6.58960- 4 2.98290- 4 2.90000+ 1 4.10000+ 1 7.85053- 5 3.09270- 4 2.90000+ 1 4.30000+ 1 1.00743- 5 3.17320- 4 2.90000+ 1 4.40000+ 1 2.29256- 5 3.19030- 4 3.00000+ 1 3.00000+ 1 6.97857- 4 2.59950- 4 3.00000+ 1 3.20000+ 1 8.29169- 3 3.18780- 4 3.00000+ 1 3.30000+ 1 7.27730- 4 3.21560- 4 3.00000+ 1 4.10000+ 1 5.03693- 5 3.32540- 4 3.00000+ 1 4.30000+ 1 2.25799- 5 3.40590- 4 3.00000+ 1 4.40000+ 1 1.70208- 5 3.42300- 4 3.20000+ 1 3.20000+ 1 3.92751- 3 3.77610- 4 3.20000+ 1 3.30000+ 1 7.60928- 3 3.80390- 4 3.20000+ 1 4.10000+ 1 5.91389- 4 3.91370- 4 3.20000+ 1 4.30000+ 1 9.10888- 5 3.99420- 4 3.20000+ 1 4.40000+ 1 1.47664- 4 4.01130- 4 3.30000+ 1 3.30000+ 1 1.48666- 4 3.83170- 4 3.30000+ 1 4.10000+ 1 4.16853- 5 3.94150- 4 3.30000+ 1 4.30000+ 1 6.25275- 6 4.02200- 4 3.30000+ 1 4.40000+ 1 1.00745- 5 4.03910- 4 4.10000+ 1 4.10000+ 1 2.43154- 6 4.05130- 4 4.10000+ 1 4.30000+ 1 1.04210- 6 4.13180- 4 4.10000+ 1 4.40000+ 1 6.94738- 7 4.14890- 4 4.30000+ 1 4.40000+ 1 3.47378- 7 4.22940- 4 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.06281- 5 2.59450- 4 2.50000+ 1 2.29472- 4 2.64680- 4 3.00000+ 1 5.34864- 5 3.24850- 4 4.40000+ 1 8.36806- 7 4.07200- 4 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 6.23593- 3 1.06410- 4 2.40000+ 1 2.50000+ 1 2.06104- 1 1.11640- 4 2.40000+ 1 2.70000+ 1 9.63438- 3 1.06620- 4 2.40000+ 1 2.90000+ 1 6.10685- 3 1.48540- 4 2.40000+ 1 3.00000+ 1 1.29610- 2 1.71810- 4 2.40000+ 1 3.20000+ 1 4.34378- 3 2.30640- 4 2.40000+ 1 3.30000+ 1 7.05807- 2 2.33420- 4 2.40000+ 1 4.10000+ 1 9.62068- 4 2.44400- 4 2.40000+ 1 4.30000+ 1 1.31400- 4 2.52450- 4 2.40000+ 1 4.40000+ 1 2.01864- 4 2.54160- 4 2.50000+ 1 2.50000+ 1 1.72828- 1 1.16870- 4 2.50000+ 1 2.70000+ 1 8.08544- 2 1.11850- 4 2.50000+ 1 2.90000+ 1 8.46181- 2 1.53770- 4 2.50000+ 1 3.00000+ 1 8.48241- 2 1.77040- 4 2.50000+ 1 3.20000+ 1 6.72233- 2 2.35870- 4 2.50000+ 1 3.30000+ 1 1.26251- 1 2.38650- 4 2.50000+ 1 4.10000+ 1 9.45684- 3 2.49630- 4 2.50000+ 1 4.30000+ 1 1.84987- 3 2.57680- 4 2.50000+ 1 4.40000+ 1 1.53829- 3 2.59390- 4 2.70000+ 1 2.70000+ 1 1.39021- 3 1.06830- 4 2.70000+ 1 2.90000+ 1 1.65269- 3 1.48750- 4 2.70000+ 1 3.00000+ 1 3.25840- 3 1.72020- 4 2.70000+ 1 3.20000+ 1 2.47684- 3 2.30850- 4 2.70000+ 1 3.30000+ 1 9.47441- 3 2.33630- 4 2.70000+ 1 4.10000+ 1 1.82439- 4 2.44610- 4 2.70000+ 1 4.30000+ 1 2.70423- 5 2.52660- 4 2.70000+ 1 4.40000+ 1 4.60852- 5 2.54370- 4 2.90000+ 1 2.90000+ 1 1.97289- 4 1.90670- 4 2.90000+ 1 3.00000+ 1 2.84214- 3 2.13940- 4 2.90000+ 1 3.20000+ 1 3.12692- 4 2.72770- 4 2.90000+ 1 3.30000+ 1 6.21235- 3 2.75550- 4 2.90000+ 1 4.10000+ 1 7.04610- 5 2.86530- 4 2.90000+ 1 4.30000+ 1 6.09396- 6 2.94580- 4 2.90000+ 1 4.40000+ 1 3.69439- 5 2.96290- 4 3.00000+ 1 3.00000+ 1 9.76153- 4 2.37210- 4 3.00000+ 1 3.20000+ 1 1.03212- 3 2.96040- 4 3.00000+ 1 3.30000+ 1 8.33974- 3 2.98820- 4 3.00000+ 1 4.10000+ 1 9.52165- 5 3.09800- 4 3.00000+ 1 4.30000+ 1 3.12305- 5 3.17850- 4 3.00000+ 1 4.40000+ 1 2.36141- 5 3.19560- 4 3.20000+ 1 3.20000+ 1 7.76982- 5 3.54870- 4 3.20000+ 1 3.30000+ 1 6.31450- 3 3.57650- 4 3.20000+ 1 4.10000+ 1 5.21797- 5 3.68630- 4 3.20000+ 1 4.30000+ 1 4.95139- 6 3.76680- 4 3.20000+ 1 4.40000+ 1 1.37111- 5 3.78390- 4 3.30000+ 1 3.30000+ 1 6.87788- 3 3.60430- 4 3.30000+ 1 4.10000+ 1 6.82918- 4 3.71410- 4 3.30000+ 1 4.30000+ 1 1.31784- 4 3.79460- 4 3.30000+ 1 4.40000+ 1 1.51973- 4 3.81170- 4 4.10000+ 1 4.10000+ 1 4.18952- 6 3.82390- 4 4.10000+ 1 4.30000+ 1 1.14263- 6 3.90440- 4 4.10000+ 1 4.40000+ 1 1.52350- 6 3.92150- 4 4.30000+ 1 4.40000+ 1 3.80873- 7 4.00200- 4 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 4.87959- 6 1.24230- 4 3.30000+ 1 3.24210- 7 1.27010- 4 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 1.18092- 1 1.33200- 5 2.90000+ 1 3.30000+ 1 6.96875- 2 1.61000- 5 2.90000+ 1 4.10000+ 1 1.36715- 2 2.70800- 5 2.90000+ 1 4.30000+ 1 4.69367- 3 3.51300- 5 2.90000+ 1 4.40000+ 1 2.98603- 3 3.68400- 5 3.00000+ 1 3.20000+ 1 1.44721- 1 3.65900- 5 3.00000+ 1 3.30000+ 1 3.62036- 2 3.93700- 5 3.00000+ 1 4.10000+ 1 6.13849- 3 5.03500- 5 3.00000+ 1 4.30000+ 1 2.31020- 3 5.84000- 5 3.00000+ 1 4.40000+ 1 8.67663- 4 6.01100- 5 3.20000+ 1 3.20000+ 1 2.26753- 1 9.54200- 5 3.20000+ 1 3.30000+ 1 3.27405- 1 9.82000- 5 3.20000+ 1 4.10000+ 1 1.24520- 2 1.09180- 4 3.20000+ 1 4.30000+ 1 4.22995- 3 1.17230- 4 3.20000+ 1 4.40000+ 1 3.47080- 3 1.18940- 4 3.30000+ 1 3.30000+ 1 2.15834- 2 1.00980- 4 3.30000+ 1 4.10000+ 1 1.57279- 3 1.11960- 4 3.30000+ 1 4.30000+ 1 2.10416- 3 1.20010- 4 3.30000+ 1 4.40000+ 1 8.67699- 4 1.21720- 4 4.10000+ 1 4.10000+ 1 1.08457- 5 1.22940- 4 4.10000+ 1 4.30000+ 1 9.76162- 5 1.30990- 4 4.10000+ 1 4.40000+ 1 5.42285- 5 1.32700- 4 4.30000+ 1 4.40000+ 1 2.16931- 5 1.40750- 4 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 4.70021- 6 1.21780- 4 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 1.80583- 2 8.09000- 6 2.90000+ 1 3.30000+ 1 9.23586- 2 1.08700- 5 2.90000+ 1 4.10000+ 1 1.36837- 3 2.18500- 5 2.90000+ 1 4.30000+ 1 9.35664- 5 2.99000- 5 2.90000+ 1 4.40000+ 1 1.25137- 3 3.16100- 5 3.00000+ 1 3.20000+ 1 5.01626- 2 3.13600- 5 3.00000+ 1 3.30000+ 1 1.95901- 1 3.41400- 5 3.00000+ 1 4.10000+ 1 1.75204- 2 4.51200- 5 3.00000+ 1 4.30000+ 1 2.88879- 3 5.31700- 5 3.00000+ 1 4.40000+ 1 3.29802- 3 5.48800- 5 3.20000+ 1 3.20000+ 1 1.14011- 2 9.01900- 5 3.20000+ 1 3.30000+ 1 2.50883- 1 9.29700- 5 3.20000+ 1 4.10000+ 1 1.09879- 3 1.03950- 4 3.20000+ 1 4.30000+ 1 2.95379- 4 1.12000- 4 3.20000+ 1 4.40000+ 1 1.64229- 3 1.13710- 4 3.30000+ 1 3.30000+ 1 3.28723- 1 9.57500- 5 3.30000+ 1 4.10000+ 1 1.42209- 2 1.06730- 4 3.30000+ 1 4.30000+ 1 2.97056- 3 1.14780- 4 3.30000+ 1 4.40000+ 1 5.69567- 3 1.16490- 4 4.10000+ 1 4.30000+ 1 3.50854- 5 1.25760- 4 4.10000+ 1 4.40000+ 1 1.16955- 4 1.27470- 4 4.30000+ 1 4.40000+ 1 1.16960- 5 1.35520- 4 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.05707- 6 4.19200- 5 3.00000+ 1 8.16475- 6 6.51900- 5 4.30000+ 1 9.38118- 8 1.45830- 4 4.40000+ 1 1.05418- 9 1.47540- 4 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 4.69167- 2 1.31100- 5 2.90000+ 1 3.30000+ 1 1.45917- 1 1.58900- 5 2.90000+ 1 4.10000+ 1 8.84901- 3 2.68700- 5 2.90000+ 1 4.30000+ 1 1.02632- 3 3.49200- 5 2.90000+ 1 4.40000+ 1 2.16169- 3 3.66300- 5 3.00000+ 1 3.20000+ 1 3.20333- 1 3.63800- 5 3.00000+ 1 3.30000+ 1 2.94773- 1 3.91600- 5 3.00000+ 1 4.10000+ 1 1.61948- 2 5.01400- 5 3.00000+ 1 4.30000+ 1 3.56146- 3 5.81900- 5 3.00000+ 1 4.40000+ 1 3.13002- 3 5.99000- 5 3.20000+ 1 3.20000+ 1 2.36807- 3 9.52100- 5 3.20000+ 1 3.30000+ 1 1.14328- 1 9.79900- 5 3.20000+ 1 4.10000+ 1 7.78495- 3 1.08970- 4 3.20000+ 1 4.30000+ 1 1.93172- 4 1.17020- 4 3.20000+ 1 4.40000+ 1 1.58656- 3 1.18730- 4 3.30000+ 1 3.30000+ 1 1.60710- 2 1.00770- 4 3.30000+ 1 4.10000+ 1 5.73308- 3 1.11750- 4 3.30000+ 1 4.30000+ 1 5.37527- 4 1.19800- 4 3.30000+ 1 4.40000+ 1 5.40555- 4 1.21510- 4 4.10000+ 1 4.10000+ 1 2.78561- 3 1.22730- 4 4.10000+ 1 4.30000+ 1 7.42194- 4 1.30780- 4 4.10000+ 1 4.40000+ 1 1.01382- 3 1.32490- 4 4.30000+ 1 4.40000+ 1 2.64871- 3 1.40540- 4 4.40000+ 1 4.40000+ 1 7.93544- 4 1.42250- 4 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 4.83964- 6 8.21000- 5 4.10000+ 1 3.84673- 7 9.58600- 5 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.30000+ 1 5.09035- 2 0.00000+ 0 3.00000+ 1 4.10000+ 1 1.49963- 2 8.22000- 6 3.00000+ 1 4.30000+ 1 8.99874- 3 1.62700- 5 3.00000+ 1 4.40000+ 1 8.17476- 3 1.79800- 5 3.20000+ 1 3.20000+ 1 1.56830- 1 5.32900- 5 3.20000+ 1 3.30000+ 1 6.84714- 1 5.60700- 5 3.20000+ 1 4.10000+ 1 2.98728- 2 6.70500- 5 3.20000+ 1 4.30000+ 1 4.90197- 3 7.51000- 5 3.20000+ 1 4.40000+ 1 7.51452- 3 7.68100- 5 3.30000+ 1 3.30000+ 1 2.49674- 2 5.88500- 5 3.30000+ 1 4.10000+ 1 2.37140- 3 6.98300- 5 3.30000+ 1 4.30000+ 1 4.39540- 3 7.78800- 5 3.30000+ 1 4.40000+ 1 8.83964- 4 7.95900- 5 4.10000+ 1 4.10000+ 1 1.16269- 5 8.08100- 5 4.10000+ 1 4.30000+ 1 3.28521- 4 8.88600- 5 4.10000+ 1 4.40000+ 1 4.48435- 5 9.05700- 5 4.30000+ 1 4.40000+ 1 8.40423- 5 9.86200- 5 4.40000+ 1 4.40000+ 1 9.96554- 7 1.00330- 4 1 82000 0 7 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 8.64774- 8 5.88300- 5 3.30000+ 1 8.91024- 7 6.16100- 5 4.10000+ 1 1.48301- 7 7.25900- 5 1 82000 0 9 2.07200+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 2.53700- 2 3.00200- 5 3.20000+ 1 3.30000+ 1 5.66051- 1 3.28000- 5 3.20000+ 1 4.10000+ 1 9.16592- 3 4.37800- 5 3.20000+ 1 4.30000+ 1 8.62501- 4 5.18300- 5 3.20000+ 1 4.40000+ 1 2.85310- 3 5.35400- 5 3.30000+ 1 3.30000+ 1 3.48570- 1 3.55800- 5 3.30000+ 1 4.10000+ 1 3.29950- 2 4.65600- 5 3.30000+ 1 4.30000+ 1 6.30369- 3 5.46100- 5 3.30000+ 1 4.40000+ 1 7.13379- 3 5.63200- 5 4.10000+ 1 4.10000+ 1 2.25552- 4 5.75400- 5 4.10000+ 1 4.30000+ 1 9.14061- 5 6.55900- 5 4.10000+ 1 4.40000+ 1 3.14114- 4 6.73000- 5 4.30000+ 1 4.40000+ 1 4.70252- 5 7.53500- 5 4.40000+ 1 4.40000+ 1 1.58781- 5 7.70600- 5 1 83000 0 0 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 1.00000+ 0 4.40000+ 1 2.00000+ 0 1 83000 0 0 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.08320- 2 3.00000+ 0 1.63760- 2 5.00000+ 0 1.57680- 2 6.00000+ 0 1.34250- 2 8.00000+ 0 3.97390- 3 1.00000+ 1 3.69270- 3 1.10000+ 1 3.16690- 3 1.30000+ 1 2.69800- 3 1.40000+ 1 2.58600- 3 1.60000+ 1 9.23430- 4 1.80000+ 1 7.99430- 4 1.90000+ 1 6.69160- 4 2.10000+ 1 4.64950- 4 2.20000+ 1 4.40610- 4 2.40000+ 1 1.73870- 4 2.50000+ 1 1.68170- 4 2.70000+ 1 1.66860- 4 2.90000+ 1 1.23120- 4 3.00000+ 1 9.74600- 5 3.20000+ 1 3.53700- 5 3.30000+ 1 3.21700- 5 4.10000+ 1 1.76900- 5 4.30000+ 1 8.60000- 6 4.40000+ 1 6.35000- 6 1 83000 0 0 2.08980+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.28930- 1 3.00000+ 0 3.12190- 2 5.00000+ 0 3.12050- 2 6.00000+ 0 2.19820- 2 8.00000+ 0 9.98030- 3 1.00000+ 1 9.85840- 3 1.10000+ 1 7.55950- 3 1.30000+ 1 7.40920- 3 1.40000+ 1 6.93620- 3 1.60000+ 1 3.32690- 3 1.80000+ 1 3.19120- 3 1.90000+ 1 2.49480- 3 2.10000+ 1 2.26910- 3 2.20000+ 1 2.12980- 3 2.40000+ 1 1.75990- 3 2.50000+ 1 1.71320- 3 2.70000+ 1 9.01150- 4 2.90000+ 1 7.93050- 4 3.00000+ 1 6.11180- 4 3.20000+ 1 4.10020- 4 3.30000+ 1 3.78830- 4 4.10000+ 1 1.48070- 4 4.30000+ 1 9.23200- 5 4.40000+ 1 6.06300- 5 1 83000 0 0 2.08980+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.34880-11 3.00000+ 0 3.47230-10 5.00000+ 0 2.84100-10 6.00000+ 0 3.31900-10 8.00000+ 0 9.01680-10 1.00000+ 1 8.50320-10 1.10000+ 1 9.37210-10 1.30000+ 1 8.12480-10 1.40000+ 1 8.38740-10 1.60000+ 1 1.98330- 9 1.80000+ 1 1.98450- 9 1.90000+ 1 2.16560- 9 2.10000+ 1 2.17870- 9 2.20000+ 1 2.23590- 9 2.40000+ 1 2.27330- 9 2.50000+ 1 2.30420- 9 2.70000+ 1 4.34820- 9 2.90000+ 1 4.61460- 9 3.00000+ 1 5.07410- 9 3.20000+ 1 6.19010- 9 3.30000+ 1 6.39870- 9 4.10000+ 1 1.10600- 8 4.30000+ 1 1.38210- 8 4.40000+ 1 1.63460- 8 1 83000 0 0 2.08980+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.01450- 5 3.00000+ 0 1.43580- 6 5.00000+ 0 2.53050- 6 6.00000+ 0 2.18460- 6 8.00000+ 0 5.66600- 8 1.00000+ 1 6.34040- 8 1.10000+ 1 6.87900- 8 1.30000+ 1 8.71210- 8 1.40000+ 1 8.12840- 8 1.60000+ 1 2.27400- 9 1.80000+ 1 3.37420- 9 1.90000+ 1 2.17980- 9 2.10000+ 1 1.99370- 9 2.20000+ 1 1.64140- 9 2.40000+ 1 2.86570-11 2.50000+ 1 2.61050-11 2.70000+ 1 1.29270-10 2.90000+ 1 2.70790-10 3.00000+ 1 1.49390-10 1 83000 0 0 2.08980+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.17970- 6 3.00000+ 0 1.26010- 5 5.00000+ 0 3.55140- 6 6.00000+ 0 3.87790- 6 8.00000+ 0 1.92850- 5 1.00000+ 1 1.34400- 5 1.10000+ 1 1.07530- 5 1.30000+ 1 2.52450- 6 1.40000+ 1 2.49930- 6 1.60000+ 1 1.54270- 5 1.80000+ 1 1.41460- 5 1.90000+ 1 9.08180- 6 2.10000+ 1 7.69270- 6 2.20000+ 1 7.00840- 6 2.40000+ 1 2.18800- 7 2.50000+ 1 2.00330- 7 2.70000+ 1 2.81550- 5 2.90000+ 1 8.17310- 6 3.00000+ 1 1.50690- 5 1 83000 0 0 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.74088- 4 3.00000+ 0 5.34739- 4 5.00000+ 0 3.82816- 4 6.00000+ 0 3.76665- 4 8.00000+ 0 3.84465- 4 1.00000+ 1 3.33198- 4 1.10000+ 1 2.96293- 4 1.30000+ 1 2.26630- 4 1.40000+ 1 2.20508- 4 1.60000+ 1 2.08715- 4 1.80000+ 1 1.94708- 4 1.90000+ 1 1.85055- 4 2.10000+ 1 1.42549- 4 2.20000+ 1 1.37655- 4 2.40000+ 1 8.01562- 5 2.50000+ 1 7.74635- 5 2.70000+ 1 9.21307- 5 2.90000+ 1 6.71627- 5 3.00000+ 1 6.50283- 5 3.20000+ 1 3.53700- 5 3.30000+ 1 3.21700- 5 4.10000+ 1 1.76900- 5 4.30000+ 1 8.60000- 6 4.40000+ 1 6.35000- 6 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.33538+ 0 3.00000+ 0 4.51879- 1 5.00000+ 0 5.09294- 1 6.00000+ 0 4.14172- 1 8.00000+ 0 3.77604- 2 1.00000+ 1 3.76291- 2 1.10000+ 1 3.51935- 2 1.30000+ 1 4.04663- 2 1.40000+ 1 3.78332- 2 1.60000+ 1 1.27462- 3 1.80000+ 1 1.53042- 3 1.90000+ 1 7.90242- 4 2.10000+ 1 3.69427- 4 2.20000+ 1 3.34068- 4 2.40000+ 1 9.43987- 6 2.50000+ 1 8.12530- 6 2.70000+ 1 1.28142- 5 2.90000+ 1 7.00557- 6 3.00000+ 1 1.48363- 6 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.00631- 2 3.00000+ 0 4.70048- 3 5.00000+ 0 6.22507- 3 6.00000+ 0 4.17952- 3 8.00000+ 0 9.34284- 5 1.00000+ 1 9.34761- 5 1.10000+ 1 8.53881- 5 1.30000+ 1 9.93478- 5 1.40000+ 1 8.96658- 5 1.60000+ 1 5.64124- 7 1.80000+ 1 5.96344- 7 1.90000+ 1 2.92833- 7 2.10000+ 1 1.09498- 7 2.20000+ 1 9.33807- 8 2.40000+ 1 1.21201- 9 2.50000+ 1 1.03720- 9 2.70000+ 1 9.00692-10 2.90000+ 1 6.22461-10 3.00000+ 1 9.96564-11 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.05168+ 1 3.00000+ 0 1.54666+ 1 5.00000+ 0 1.07665+ 1 6.00000+ 0 1.06052+ 1 8.00000+ 0 1.08455+ 1 1.00000+ 1 9.24457+ 0 1.10000+ 1 8.13361+ 0 1.30000+ 1 5.94812+ 0 1.40000+ 1 5.80473+ 0 1.60000+ 1 5.44763+ 0 1.80000+ 1 4.98492+ 0 1.90000+ 1 4.71593+ 0 2.10000+ 1 3.35675+ 0 2.20000+ 1 3.25762+ 0 2.40000+ 1 1.42721+ 0 2.50000+ 1 1.41052+ 0 2.70000+ 1 1.84336+ 0 2.90000+ 1 1.06273+ 0 3.00000+ 1 9.99999- 1 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.03948- 2 3.00000+ 0 1.11408- 2 5.00000+ 0 9.16011- 3 6.00000+ 0 8.86882- 3 8.00000+ 0 3.49601- 3 1.00000+ 1 3.26603- 3 1.10000+ 1 2.78522- 3 1.30000+ 1 2.37202- 3 1.40000+ 1 2.27583- 3 1.60000+ 1 7.14151- 4 1.80000+ 1 6.04126- 4 1.90000+ 1 4.83812- 4 2.10000+ 1 3.22291- 4 2.20000+ 1 3.02862- 4 2.40000+ 1 9.37126- 5 2.50000+ 1 9.07054- 5 2.70000+ 1 7.47284- 5 2.90000+ 1 5.59567- 5 3.00000+ 1 3.24316- 5 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.82810- 1 7.50640- 2 6.00000+ 0 4.72910- 1 7.74070- 2 1.00000+ 1 5.28820- 2 8.71393- 2 1.10000+ 1 1.02490- 1 8.76651- 2 1.30000+ 1 1.48030- 3 8.81340- 2 1.40000+ 1 1.78200- 3 8.82460- 2 1.80000+ 1 1.26800- 2 9.00326- 2 1.90000+ 1 2.49800- 2 9.01628- 2 2.10000+ 1 3.98030- 4 9.03670- 2 2.20000+ 1 4.78580- 4 9.03914- 2 2.90000+ 1 2.95940- 3 9.07089- 2 3.00000+ 1 5.69621- 3 9.07345- 2 3.20000+ 1 5.54281- 5 9.07966- 2 3.30000+ 1 6.51581- 5 9.07998- 2 4.30000+ 1 1.19860- 4 9.08234- 2 4.40000+ 1 1.92300- 4 9.08256- 2 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.14149- 3 5.80800- 2 3.00000+ 0 5.00000+ 0 6.71230- 3 5.86880- 2 3.00000+ 0 6.00000+ 0 3.50886- 3 6.10310- 2 3.00000+ 0 8.00000+ 0 1.67712- 3 7.04821- 2 3.00000+ 0 1.00000+ 1 1.45261- 3 7.07633- 2 3.00000+ 0 1.10000+ 1 8.28439- 4 7.12891- 2 3.00000+ 0 1.30000+ 1 7.03356- 5 7.17580- 2 3.00000+ 0 1.40000+ 1 5.12118- 5 7.18700- 2 3.00000+ 0 1.60000+ 1 4.24565- 4 7.35326- 2 3.00000+ 0 1.80000+ 1 3.59713- 4 7.36566- 2 3.00000+ 0 1.90000+ 1 2.04981- 4 7.37868- 2 3.00000+ 0 2.10000+ 1 1.87945- 5 7.39910- 2 3.00000+ 0 2.20000+ 1 1.34791- 5 7.40154- 2 3.00000+ 0 2.40000+ 1 4.74630- 8 7.42821- 2 3.00000+ 0 2.50000+ 1 4.74630- 8 7.42878- 2 3.00000+ 0 2.70000+ 1 9.26952- 5 7.42891- 2 3.00000+ 0 2.90000+ 1 7.09554- 5 7.43329- 2 3.00000+ 0 3.00000+ 1 3.92013- 5 7.43585- 2 3.00000+ 0 3.20000+ 1 2.46807- 6 7.44206- 2 3.00000+ 0 3.30000+ 1 1.70865- 6 7.44238- 2 5.00000+ 0 5.00000+ 0 3.44309- 4 5.92960- 2 5.00000+ 0 6.00000+ 0 6.11717- 3 6.16390- 2 5.00000+ 0 8.00000+ 0 1.18325- 3 7.10901- 2 5.00000+ 0 1.00000+ 1 1.30762- 4 7.13713- 2 5.00000+ 0 1.10000+ 1 1.20966- 3 7.18971- 2 5.00000+ 0 1.30000+ 1 7.22398- 5 7.23660- 2 5.00000+ 0 1.40000+ 1 1.85212- 4 7.24780- 2 5.00000+ 0 1.60000+ 1 2.90197- 4 7.41406- 2 5.00000+ 0 1.80000+ 1 3.14204- 5 7.42646- 2 5.00000+ 0 1.90000+ 1 2.87305- 4 7.43948- 2 5.00000+ 0 2.10000+ 1 1.85103- 5 7.45990- 2 5.00000+ 0 2.20000+ 1 4.77007- 5 7.46234- 2 5.00000+ 0 2.40000+ 1 5.22107- 7 7.48901- 2 5.00000+ 0 2.50000+ 1 8.06877- 7 7.48958- 2 5.00000+ 0 2.70000+ 1 6.28906- 5 7.48971- 2 5.00000+ 0 2.90000+ 1 6.17033- 6 7.49409- 2 5.00000+ 0 3.00000+ 1 5.43927- 5 7.49665- 2 5.00000+ 0 3.20000+ 1 2.42054- 6 7.50286- 2 5.00000+ 0 3.30000+ 1 6.07531- 6 7.50318- 2 6.00000+ 0 6.00000+ 0 2.61009- 3 6.39820- 2 6.00000+ 0 8.00000+ 0 5.59384- 4 7.34331- 2 6.00000+ 0 1.00000+ 1 1.09201- 3 7.37143- 2 6.00000+ 0 1.10000+ 1 1.06638- 3 7.42401- 2 6.00000+ 0 1.30000+ 1 2.05093- 4 7.47090- 2 6.00000+ 0 1.40000+ 1 1.69628- 4 7.48210- 2 6.00000+ 0 1.60000+ 1 1.33945- 4 7.64836- 2 6.00000+ 0 1.80000+ 1 2.59193- 4 7.66076- 2 6.00000+ 0 1.90000+ 1 2.55497- 4 7.67378- 2 6.00000+ 0 2.10000+ 1 5.32052- 5 7.69420- 2 6.00000+ 0 2.20000+ 1 4.38561- 5 7.69664- 2 6.00000+ 0 2.40000+ 1 9.01793- 7 7.72331- 2 6.00000+ 0 2.50000+ 1 9.49239- 7 7.72388- 2 6.00000+ 0 2.70000+ 1 2.88570- 5 7.72401- 2 6.00000+ 0 2.90000+ 1 5.06426- 5 7.72839- 2 6.00000+ 0 3.00000+ 1 4.85051- 5 7.73095- 2 6.00000+ 0 3.20000+ 1 6.97700- 6 7.73716- 2 6.00000+ 0 3.30000+ 1 5.60069- 6 7.73748- 2 8.00000+ 0 8.00000+ 0 1.67017- 4 8.28842- 2 8.00000+ 0 1.00000+ 1 2.56528- 4 8.31654- 2 8.00000+ 0 1.10000+ 1 1.33183- 4 8.36912- 2 8.00000+ 0 1.30000+ 1 1.10114- 5 8.41601- 2 8.00000+ 0 1.40000+ 1 7.49896- 6 8.42721- 2 8.00000+ 0 1.60000+ 1 8.42939- 5 8.59347- 2 8.00000+ 0 1.80000+ 1 6.35499- 5 8.60587- 2 8.00000+ 0 1.90000+ 1 3.30340- 5 8.61889- 2 8.00000+ 0 2.10000+ 1 2.94277- 6 8.63931- 2 8.00000+ 0 2.20000+ 1 1.99330- 6 8.64175- 2 8.00000+ 0 2.70000+ 1 1.83684- 5 8.66912- 2 8.00000+ 0 2.90000+ 1 1.25301- 5 8.67350- 2 8.00000+ 0 3.00000+ 1 6.31237- 6 8.67606- 2 8.00000+ 0 3.20000+ 1 3.79699- 7 8.68227- 2 8.00000+ 0 3.30000+ 1 2.37306- 7 8.68259- 2 1.00000+ 1 1.00000+ 1 1.20083- 5 8.34466- 2 1.00000+ 1 1.10000+ 1 2.22271- 4 8.39724- 2 1.00000+ 1 1.30000+ 1 1.12963- 5 8.44413- 2 1.00000+ 1 1.40000+ 1 2.48691- 5 8.45533- 2 1.00000+ 1 1.60000+ 1 6.29336- 5 8.62159- 2 1.00000+ 1 1.80000+ 1 5.74291- 6 8.63399- 2 1.00000+ 1 1.90000+ 1 5.31096- 5 8.64701- 2 1.00000+ 1 2.10000+ 1 2.94278- 6 8.66743- 2 1.00000+ 1 2.20000+ 1 6.45503- 6 8.66987- 2 1.00000+ 1 2.40000+ 1 4.74636- 8 8.69654- 2 1.00000+ 1 2.50000+ 1 9.49240- 8 8.69711- 2 1.00000+ 1 2.70000+ 1 1.36217- 5 8.69724- 2 1.00000+ 1 2.90000+ 1 1.13908- 6 8.70162- 2 1.00000+ 1 3.00000+ 1 1.00620- 5 8.70418- 2 1.00000+ 1 3.20000+ 1 3.79700- 7 8.71039- 2 1.00000+ 1 3.30000+ 1 8.06858- 7 8.71071- 2 1.10000+ 1 1.10000+ 1 1.10073- 4 8.44982- 2 1.10000+ 1 1.30000+ 1 3.36511- 5 8.49671- 2 1.10000+ 1 1.40000+ 1 2.69113- 5 8.50791- 2 1.10000+ 1 1.60000+ 1 3.19430- 5 8.67417- 2 1.10000+ 1 1.80000+ 1 5.30647- 5 8.68657- 2 1.10000+ 1 1.90000+ 1 5.28255- 5 8.69959- 2 1.10000+ 1 2.10000+ 1 8.78083- 6 8.72001- 2 1.10000+ 1 2.20000+ 1 7.02462- 6 8.72245- 2 1.10000+ 1 2.40000+ 1 1.42395- 7 8.74912- 2 1.10000+ 1 2.50000+ 1 1.42395- 7 8.74969- 2 1.10000+ 1 2.70000+ 1 6.88209- 6 8.74982- 2 1.10000+ 1 2.90000+ 1 1.03945- 5 8.75420- 2 1.10000+ 1 3.00000+ 1 1.00145- 5 8.75676- 2 1.10000+ 1 3.20000+ 1 1.13910- 6 8.76297- 2 1.10000+ 1 3.30000+ 1 9.01807- 7 8.76329- 2 1.30000+ 1 1.30000+ 1 9.49258- 8 8.54360- 2 1.30000+ 1 1.40000+ 1 3.84458- 6 8.55480- 2 1.30000+ 1 1.60000+ 1 2.65798- 6 8.72106- 2 1.30000+ 1 1.80000+ 1 2.61046- 6 8.73346- 2 1.30000+ 1 1.90000+ 1 7.64134- 6 8.74648- 2 1.30000+ 1 2.10000+ 1 4.74645- 8 8.76690- 2 1.30000+ 1 2.20000+ 1 9.49258- 7 8.76934- 2 1.30000+ 1 2.70000+ 1 5.69551- 7 8.79671- 2 1.30000+ 1 2.90000+ 1 5.22104- 7 8.80109- 2 1.30000+ 1 3.00000+ 1 1.42396- 6 8.80365- 2 1.30000+ 1 3.30000+ 1 1.42396- 7 8.81018- 2 1.40000+ 1 1.40000+ 1 9.01799- 7 8.56600- 2 1.40000+ 1 1.60000+ 1 1.80360- 6 8.73226- 2 1.40000+ 1 1.80000+ 1 5.50571- 6 8.74466- 2 1.40000+ 1 1.90000+ 1 6.07519- 6 8.75768- 2 1.40000+ 1 2.10000+ 1 9.49245- 7 8.77810- 2 1.40000+ 1 2.20000+ 1 4.74639- 7 8.78054- 2 1.40000+ 1 2.70000+ 1 3.79702- 7 8.80791- 2 1.40000+ 1 2.90000+ 1 1.04419- 6 8.81229- 2 1.40000+ 1 3.00000+ 1 1.13909- 6 8.81485- 2 1.40000+ 1 3.20000+ 1 1.42394- 7 8.82106- 2 1.40000+ 1 3.30000+ 1 4.74639- 8 8.82138- 2 1.60000+ 1 1.60000+ 1 1.06316- 5 8.89851- 2 1.60000+ 1 1.80000+ 1 1.56148- 5 8.91091- 2 1.60000+ 1 1.90000+ 1 7.92645- 6 8.92394- 2 1.60000+ 1 2.10000+ 1 7.11929- 7 8.94436- 2 1.60000+ 1 2.20000+ 1 4.74641- 7 8.94680- 2 1.60000+ 1 2.70000+ 1 4.65139- 6 8.97417- 2 1.60000+ 1 2.90000+ 1 3.08513- 6 8.97854- 2 1.60000+ 1 3.00000+ 1 1.51875- 6 8.98111- 2 1.60000+ 1 3.20000+ 1 9.49250- 8 8.98732- 2 1.60000+ 1 3.30000+ 1 4.74641- 8 8.98764- 2 1.80000+ 1 1.80000+ 1 6.64466- 7 8.92331- 2 1.80000+ 1 1.90000+ 1 1.26724- 5 8.93634- 2 1.80000+ 1 2.10000+ 1 6.64466- 7 8.95676- 2 1.80000+ 1 2.20000+ 1 1.42391- 6 8.95920- 2 1.80000+ 1 2.70000+ 1 3.36979- 6 8.98657- 2 1.80000+ 1 2.90000+ 1 2.84761- 7 8.99094- 2 1.80000+ 1 3.00000+ 1 2.42045- 6 8.99351- 2 1.80000+ 1 3.20000+ 1 9.49227- 8 8.99972- 2 1.80000+ 1 3.30000+ 1 1.89836- 7 9.00004- 2 1.90000+ 1 1.90000+ 1 6.27830- 6 8.94937- 2 1.90000+ 1 2.10000+ 1 1.96774- 6 8.96979- 2 1.90000+ 1 2.20000+ 1 1.54615- 6 8.97222- 2 1.90000+ 1 2.40000+ 1 4.68546- 8 8.99890- 2 1.90000+ 1 2.50000+ 1 4.68546- 8 8.99947- 2 1.90000+ 1 2.70000+ 1 1.68675- 6 8.99960- 2 1.90000+ 1 2.90000+ 1 2.43643- 6 9.00397- 2 1.90000+ 1 3.00000+ 1 2.38943- 6 9.00654- 2 1.90000+ 1 3.20000+ 1 2.81111- 7 9.01275- 2 1.90000+ 1 3.30000+ 1 1.87403- 7 9.01307- 2 2.10000+ 1 2.20000+ 1 2.37308- 7 8.99264- 2 2.10000+ 1 2.70000+ 1 1.42394- 7 9.02002- 2 2.10000+ 1 2.90000+ 1 1.42394- 7 9.02439- 2 2.10000+ 1 3.00000+ 1 3.79702- 7 9.02696- 2 2.10000+ 1 3.30000+ 1 4.74638- 8 9.03349- 2 2.20000+ 1 2.20000+ 1 5.01368- 8 8.99508- 2 2.20000+ 1 2.70000+ 1 1.00270- 7 9.02245- 2 2.20000+ 1 2.90000+ 1 3.00803- 7 9.02683- 2 2.20000+ 1 3.00000+ 1 3.00803- 7 9.02939- 2 2.20000+ 1 3.20000+ 1 5.01368- 8 9.03560- 2 2.70000+ 1 2.70000+ 1 5.30344- 7 9.04983- 2 2.70000+ 1 2.90000+ 1 6.74975- 7 9.05420- 2 2.70000+ 1 3.00000+ 1 3.37483- 7 9.05677- 2 2.90000+ 1 2.90000+ 1 4.56709- 8 9.05858- 2 2.90000+ 1 3.00000+ 1 4.56709- 7 9.06114- 2 2.90000+ 1 3.30000+ 1 4.56709- 8 9.06767- 2 3.00000+ 1 3.00000+ 1 2.43247- 7 9.06371- 2 3.00000+ 1 3.20000+ 1 4.86517- 8 9.06992- 2 3.00000+ 1 3.30000+ 1 4.86517- 8 9.07024- 2 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.18120- 5 6.08000- 4 6.00000+ 0 3.32370- 3 2.95100- 3 1.00000+ 1 3.46070- 2 1.26833- 2 1.10000+ 1 3.70550- 2 1.32091- 2 1.30000+ 1 1.28210- 3 1.36780- 2 1.40000+ 1 1.91790- 3 1.37900- 2 1.80000+ 1 8.95660- 3 1.55766- 2 1.90000+ 1 1.04990- 2 1.57068- 2 2.10000+ 1 1.99110- 4 1.59110- 2 2.20000+ 1 3.15490- 4 1.59354- 2 2.90000+ 1 1.80350- 3 1.62529- 2 3.00000+ 1 2.08580- 3 1.62785- 2 3.20000+ 1 2.48950- 5 1.63406- 2 3.30000+ 1 3.91230- 5 1.63438- 2 4.30000+ 1 8.60050- 5 1.63674- 2 4.40000+ 1 8.34250- 5 1.63697- 2 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.10000+ 1 4.65666- 3 1.43050- 4 5.00000+ 0 2.20000+ 1 6.16915- 3 1.67390- 4 5.00000+ 0 2.40000+ 1 1.40990- 2 4.34130- 4 5.00000+ 0 2.50000+ 1 1.86836- 2 4.39830- 4 5.00000+ 0 2.70000+ 1 4.45468- 3 4.41140- 4 5.00000+ 0 2.90000+ 1 3.27266- 3 4.84880- 4 5.00000+ 0 3.00000+ 1 2.94068- 3 5.10540- 4 5.00000+ 0 3.20000+ 1 6.12915- 4 5.72630- 4 5.00000+ 0 3.30000+ 1 8.05627- 4 5.75830- 4 6.00000+ 0 1.30000+ 1 2.33072- 1 2.53000- 4 6.00000+ 0 1.40000+ 1 2.92387- 1 3.65000- 4 6.00000+ 0 1.60000+ 1 1.85206- 2 2.02757- 3 6.00000+ 0 1.80000+ 1 7.32957- 3 2.15157- 3 6.00000+ 0 1.90000+ 1 1.09852- 2 2.28184- 3 6.00000+ 0 2.10000+ 1 3.10826- 2 2.48605- 3 6.00000+ 0 2.20000+ 1 3.68251- 2 2.51039- 3 6.00000+ 0 2.40000+ 1 2.14603- 2 2.77713- 3 6.00000+ 0 2.50000+ 1 2.66939- 2 2.78283- 3 6.00000+ 0 2.70000+ 1 3.84420- 3 2.78414- 3 6.00000+ 0 2.90000+ 1 1.41849- 3 2.82788- 3 6.00000+ 0 3.00000+ 1 2.08263- 3 2.85354- 3 6.00000+ 0 3.20000+ 1 3.74981- 3 2.91563- 3 6.00000+ 0 3.30000+ 1 4.27857- 3 2.91883- 3 8.00000+ 0 8.00000+ 0 5.20847- 3 8.42820- 3 8.00000+ 0 1.00000+ 1 1.07421- 2 8.70940- 3 8.00000+ 0 1.10000+ 1 1.66946- 2 9.23520- 3 8.00000+ 0 1.30000+ 1 1.22950- 2 9.70410- 3 8.00000+ 0 1.40000+ 1 1.56597- 2 9.81610- 3 8.00000+ 0 1.60000+ 1 2.24411- 3 1.14787- 2 8.00000+ 0 1.80000+ 1 2.62748- 3 1.16027- 2 8.00000+ 0 1.90000+ 1 4.03146- 3 1.17329- 2 8.00000+ 0 2.10000+ 1 2.72107- 3 1.19372- 2 8.00000+ 0 2.20000+ 1 3.43891- 3 1.19615- 2 8.00000+ 0 2.40000+ 1 2.29890- 4 1.22282- 2 8.00000+ 0 2.50000+ 1 2.50629- 4 1.22339- 2 8.00000+ 0 2.70000+ 1 4.76840- 4 1.22352- 2 8.00000+ 0 2.90000+ 1 5.16197- 4 1.22790- 2 8.00000+ 0 3.00000+ 1 7.65861- 4 1.23046- 2 8.00000+ 0 3.20000+ 1 3.47551- 4 1.23667- 2 8.00000+ 0 3.30000+ 1 4.27024- 4 1.23699- 2 1.00000+ 1 1.00000+ 1 1.97716- 5 8.99060- 3 1.00000+ 1 1.10000+ 1 2.09735- 4 9.51640- 3 1.00000+ 1 1.30000+ 1 6.68164- 4 9.98530- 3 1.00000+ 1 1.40000+ 1 5.33323- 3 1.00973- 2 1.00000+ 1 1.60000+ 1 1.82448- 3 1.17599- 2 1.00000+ 1 1.80000+ 1 2.71381- 6 1.18839- 2 1.00000+ 1 1.90000+ 1 4.24510- 5 1.20141- 2 1.00000+ 1 2.10000+ 1 1.29301- 4 1.22183- 2 1.00000+ 1 2.20000+ 1 7.50341- 4 1.22427- 2 1.00000+ 1 2.40000+ 1 8.47077- 5 1.25094- 2 1.00000+ 1 2.50000+ 1 2.94629- 4 1.25151- 2 1.00000+ 1 2.70000+ 1 3.65004- 4 1.25164- 2 1.00000+ 1 2.90000+ 1 3.87673- 7 1.25602- 2 1.00000+ 1 3.00000+ 1 7.75351- 6 1.25858- 2 1.00000+ 1 3.20000+ 1 1.64759- 5 1.26479- 2 1.00000+ 1 3.30000+ 1 8.64536- 5 1.26511- 2 1.10000+ 1 1.10000+ 1 5.71631- 4 1.00422- 2 1.10000+ 1 1.30000+ 1 1.74689- 3 1.05111- 2 1.10000+ 1 1.40000+ 1 1.06363- 3 1.06231- 2 1.10000+ 1 1.60000+ 1 2.78761- 3 1.22857- 2 1.10000+ 1 1.80000+ 1 5.07866- 5 1.24097- 2 1.10000+ 1 1.90000+ 1 2.09345- 4 1.25399- 2 1.10000+ 1 2.10000+ 1 1.59920- 4 1.27442- 2 1.10000+ 1 2.20000+ 1 7.83112- 5 1.27685- 2 1.10000+ 1 2.40000+ 1 1.36271- 4 1.30352- 2 1.10000+ 1 2.50000+ 1 1.14173- 4 1.30409- 2 1.10000+ 1 2.70000+ 1 5.55743- 4 1.30422- 2 1.10000+ 1 2.90000+ 1 9.88589- 6 1.30860- 2 1.10000+ 1 3.00000+ 1 3.76055- 5 1.31116- 2 1.10000+ 1 3.20000+ 1 1.72519- 5 1.31737- 2 1.10000+ 1 3.30000+ 1 7.94732- 6 1.31769- 2 1.30000+ 1 1.30000+ 1 7.18912- 4 1.09800- 2 1.30000+ 1 1.40000+ 1 2.11261- 2 1.10920- 2 1.30000+ 1 1.60000+ 1 1.86763- 3 1.27546- 2 1.30000+ 1 1.80000+ 1 1.96743- 4 1.28786- 2 1.30000+ 1 1.90000+ 1 4.70830- 4 1.30088- 2 1.30000+ 1 2.10000+ 1 3.10723- 4 1.32130- 2 1.30000+ 1 2.20000+ 1 3.23652- 3 1.32374- 2 1.30000+ 1 2.40000+ 1 2.43649- 4 1.35041- 2 1.30000+ 1 2.50000+ 1 6.70673- 4 1.35098- 2 1.30000+ 1 2.70000+ 1 3.65188- 4 1.35111- 2 1.30000+ 1 2.90000+ 1 4.01245- 5 1.35549- 2 1.30000+ 1 3.00000+ 1 9.14867- 5 1.35805- 2 1.30000+ 1 3.20000+ 1 3.95436- 5 1.36426- 2 1.30000+ 1 3.30000+ 1 3.76827- 4 1.36458- 2 1.40000+ 1 1.40000+ 1 5.82878- 3 1.12040- 2 1.40000+ 1 1.60000+ 1 2.41411- 3 1.28666- 2 1.40000+ 1 1.80000+ 1 1.15516- 3 1.29906- 2 1.40000+ 1 1.90000+ 1 2.91739- 4 1.31208- 2 1.40000+ 1 2.10000+ 1 3.12998- 3 1.33250- 2 1.40000+ 1 2.20000+ 1 1.88592- 3 1.33494- 2 1.40000+ 1 2.40000+ 1 7.38966- 4 1.36161- 2 1.40000+ 1 2.50000+ 1 5.56730- 4 1.36218- 2 1.40000+ 1 2.70000+ 1 4.74722- 4 1.36231- 2 1.40000+ 1 2.90000+ 1 2.21761- 4 1.36669- 2 1.40000+ 1 3.00000+ 1 5.69908- 5 1.36925- 2 1.40000+ 1 3.20000+ 1 3.71986- 4 1.37546- 2 1.40000+ 1 3.30000+ 1 2.22151- 4 1.37578- 2 1.60000+ 1 1.60000+ 1 2.27954- 4 1.45291- 2 1.60000+ 1 1.80000+ 1 4.47189- 4 1.46531- 2 1.60000+ 1 1.90000+ 1 6.75533- 4 1.47834- 2 1.60000+ 1 2.10000+ 1 4.15011- 4 1.49876- 2 1.60000+ 1 2.20000+ 1 5.28793- 4 1.50120- 2 1.60000+ 1 2.40000+ 1 2.92699- 5 1.52787- 2 1.60000+ 1 2.50000+ 1 3.04328- 5 1.52844- 2 1.60000+ 1 2.70000+ 1 9.55638- 5 1.52857- 2 1.60000+ 1 2.90000+ 1 8.78075- 5 1.53294- 2 1.60000+ 1 3.00000+ 1 1.28321- 4 1.53551- 2 1.60000+ 1 3.20000+ 1 5.31123- 5 1.54172- 2 1.60000+ 1 3.30000+ 1 6.57114- 5 1.54204- 2 1.80000+ 1 1.90000+ 1 1.02733- 5 1.49074- 2 1.80000+ 1 2.10000+ 1 3.37276- 5 1.51116- 2 1.80000+ 1 2.20000+ 1 1.69228- 4 1.51360- 2 1.80000+ 1 2.40000+ 1 1.18252- 5 1.54027- 2 1.80000+ 1 2.50000+ 1 4.65227- 5 1.54084- 2 1.80000+ 1 2.70000+ 1 8.95522- 5 1.54097- 2 1.80000+ 1 3.00000+ 1 1.93846- 6 1.54791- 2 1.80000+ 1 3.20000+ 1 4.26450- 6 1.55412- 2 1.80000+ 1 3.30000+ 1 1.95776- 5 1.55444- 2 1.90000+ 1 1.90000+ 1 1.84146- 5 1.50377- 2 1.90000+ 1 2.10000+ 1 4.84603- 5 1.52419- 2 1.90000+ 1 2.20000+ 1 2.67499- 5 1.52662- 2 1.90000+ 1 2.40000+ 1 2.83008- 5 1.55330- 2 1.90000+ 1 2.50000+ 1 2.32602- 5 1.55387- 2 1.90000+ 1 2.70000+ 1 1.34720- 4 1.55400- 2 1.90000+ 1 2.90000+ 1 1.93845- 6 1.55837- 2 1.90000+ 1 3.00000+ 1 6.59050- 6 1.56094- 2 1.90000+ 1 3.20000+ 1 5.42749- 6 1.56715- 2 1.90000+ 1 3.30000+ 1 2.90757- 6 1.56747- 2 2.10000+ 1 2.10000+ 1 3.10146- 5 1.54461- 2 2.10000+ 1 2.20000+ 1 5.25110- 4 1.54704- 2 2.10000+ 1 2.40000+ 1 3.64412- 5 1.57372- 2 2.10000+ 1 2.50000+ 1 7.57887- 5 1.57429- 2 2.10000+ 1 2.70000+ 1 8.12173- 5 1.57442- 2 2.10000+ 1 2.90000+ 1 6.78439- 6 1.57879- 2 2.10000+ 1 3.00000+ 1 9.69191- 6 1.58136- 2 2.10000+ 1 3.20000+ 1 7.75345- 6 1.58757- 2 2.10000+ 1 3.30000+ 1 6.20282- 5 1.58789- 2 2.20000+ 1 2.20000+ 1 1.63789- 4 1.54948- 2 2.20000+ 1 2.40000+ 1 8.83905- 5 1.57615- 2 2.20000+ 1 2.50000+ 1 7.40432- 5 1.57672- 2 2.20000+ 1 2.70000+ 1 1.03903- 4 1.57685- 2 2.20000+ 1 2.90000+ 1 3.27587- 5 1.58123- 2 2.20000+ 1 3.00000+ 1 5.42753- 6 1.58379- 2 2.20000+ 1 3.20000+ 1 6.33855- 5 1.59000- 2 2.20000+ 1 3.30000+ 1 3.89623- 5 1.59032- 2 2.40000+ 1 2.40000+ 1 1.08770- 6 1.60283- 2 2.40000+ 1 2.50000+ 1 2.02320- 5 1.60340- 2 2.40000+ 1 2.70000+ 1 6.09114- 6 1.60353- 2 2.40000+ 1 2.90000+ 1 2.39295- 6 1.60790- 2 2.40000+ 1 3.00000+ 1 5.87366- 6 1.61047- 2 2.40000+ 1 3.20000+ 1 4.78592- 6 1.61668- 2 2.40000+ 1 3.30000+ 1 1.10946- 5 1.61700- 2 2.50000+ 1 2.50000+ 1 4.79406- 6 1.60397- 2 2.50000+ 1 2.70000+ 1 6.95144- 6 1.60410- 2 2.50000+ 1 2.90000+ 1 1.03079- 5 1.60847- 2 2.50000+ 1 3.00000+ 1 5.27359- 6 1.61104- 2 2.50000+ 1 3.20000+ 1 1.05475- 5 1.61725- 2 2.50000+ 1 3.30000+ 1 1.05475- 5 1.61757- 2 2.70000+ 1 2.70000+ 1 1.60801- 5 1.60423- 2 2.70000+ 1 2.90000+ 1 2.81419- 5 1.60860- 2 2.70000+ 1 3.00000+ 1 4.08192- 5 1.61117- 2 2.70000+ 1 3.20000+ 1 1.66991- 5 1.61738- 2 2.70000+ 1 3.30000+ 1 2.04097- 5 1.61770- 2 2.90000+ 1 3.00000+ 1 7.43337- 7 1.61554- 2 2.90000+ 1 3.20000+ 1 1.48668- 6 1.62175- 2 2.90000+ 1 3.30000+ 1 7.43337- 6 1.62207- 2 3.00000+ 1 3.00000+ 1 1.12296- 6 1.61811- 2 3.00000+ 1 3.20000+ 1 2.24588- 6 1.62432- 2 3.00000+ 1 3.30000+ 1 1.12296- 6 1.62464- 2 3.20000+ 1 3.20000+ 1 5.67508- 7 1.63053- 2 3.20000+ 1 3.30000+ 1 7.37749- 6 1.63085- 2 3.30000+ 1 3.30000+ 1 2.32600- 6 1.63117- 2 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.24020- 5 2.34300- 3 8.00000+ 0 8.94229- 3 1.17941- 2 1.10000+ 1 3.76200- 4 1.26011- 2 1.30000+ 1 3.27820- 1 1.30700- 2 1.60000+ 1 2.32000- 3 1.48446- 2 1.90000+ 1 1.05370- 4 1.50988- 2 2.10000+ 1 6.76889- 2 1.53030- 2 2.40000+ 1 2.99050- 4 1.55941- 2 2.70000+ 1 5.04370- 4 1.56011- 2 3.00000+ 1 2.13840- 5 1.56705- 2 3.20000+ 1 8.99449- 3 1.57326- 2 4.10000+ 1 7.12399- 5 1.57503- 2 4.40000+ 1 8.34879- 7 1.57616- 2 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 5.01037- 3 1.41957- 3 6.00000+ 0 1.80000+ 1 3.63688- 2 1.54357- 3 6.00000+ 0 1.90000+ 1 9.88233- 3 1.67384- 3 6.00000+ 0 2.10000+ 1 3.64027- 2 1.87805- 3 6.00000+ 0 2.20000+ 1 1.24713- 2 1.90239- 3 6.00000+ 0 2.40000+ 1 1.53438- 3 2.16913- 3 6.00000+ 0 2.50000+ 1 2.28227- 3 2.17483- 3 6.00000+ 0 2.70000+ 1 1.00390- 3 2.17614- 3 6.00000+ 0 2.90000+ 1 6.57600- 3 2.21988- 3 6.00000+ 0 3.00000+ 1 1.83052- 3 2.24554- 3 6.00000+ 0 3.20000+ 1 4.47190- 3 2.30763- 3 6.00000+ 0 3.30000+ 1 1.50534- 3 2.31083- 3 8.00000+ 0 8.00000+ 0 5.47962- 4 7.82020- 3 8.00000+ 0 1.00000+ 1 1.95976- 2 8.10140- 3 8.00000+ 0 1.10000+ 1 1.81942- 3 8.62720- 3 8.00000+ 0 1.30000+ 1 3.12560- 3 9.09610- 3 8.00000+ 0 1.40000+ 1 1.70274- 3 9.20810- 3 8.00000+ 0 1.60000+ 1 2.12564- 4 1.08707- 2 8.00000+ 0 1.80000+ 1 3.16403- 3 1.09947- 2 8.00000+ 0 1.90000+ 1 3.93439- 4 1.11249- 2 8.00000+ 0 2.10000+ 1 4.89889- 4 1.13291- 2 8.00000+ 0 2.20000+ 1 2.27748- 4 1.13535- 2 8.00000+ 0 2.40000+ 1 8.79746- 5 1.16202- 2 8.00000+ 0 2.50000+ 1 6.16305- 5 1.16259- 2 8.00000+ 0 2.70000+ 1 4.42119- 5 1.16272- 2 8.00000+ 0 2.90000+ 1 5.71169- 4 1.16710- 2 8.00000+ 0 3.00000+ 1 7.32410- 5 1.16966- 2 8.00000+ 0 3.20000+ 1 5.93917- 5 1.17587- 2 8.00000+ 0 3.30000+ 1 2.63481- 5 1.17619- 2 1.00000+ 1 1.00000+ 1 2.05440- 2 8.38260- 3 1.00000+ 1 1.10000+ 1 5.15368- 2 8.90840- 3 1.00000+ 1 1.30000+ 1 2.66069- 2 9.37730- 3 1.00000+ 1 1.40000+ 1 3.74259- 2 9.48930- 3 1.00000+ 1 1.60000+ 1 5.07981- 3 1.11519- 2 1.00000+ 1 1.80000+ 1 8.46008- 3 1.12759- 2 1.00000+ 1 1.90000+ 1 1.22145- 2 1.14061- 2 1.00000+ 1 2.10000+ 1 5.89261- 3 1.16103- 2 1.00000+ 1 2.20000+ 1 8.26892- 3 1.16347- 2 1.00000+ 1 2.40000+ 1 4.55519- 4 1.19014- 2 1.00000+ 1 2.50000+ 1 3.92984- 4 1.19071- 2 1.00000+ 1 2.70000+ 1 1.11374- 3 1.19084- 2 1.00000+ 1 2.90000+ 1 1.61481- 3 1.19522- 2 1.00000+ 1 3.00000+ 1 2.31193- 3 1.19778- 2 1.00000+ 1 3.20000+ 1 7.53398- 4 1.20399- 2 1.00000+ 1 3.30000+ 1 1.02800- 3 1.20431- 2 1.10000+ 1 1.10000+ 1 1.16551- 3 9.43420- 3 1.10000+ 1 1.30000+ 1 2.36986- 2 9.90310- 3 1.10000+ 1 1.40000+ 1 3.46579- 3 1.00151- 2 1.10000+ 1 1.60000+ 1 3.95667- 4 1.16777- 2 1.10000+ 1 1.80000+ 1 8.47209- 3 1.18017- 2 1.10000+ 1 1.90000+ 1 4.74259- 4 1.19319- 2 1.10000+ 1 2.10000+ 1 4.42869- 3 1.21361- 2 1.10000+ 1 2.20000+ 1 6.23868- 4 1.21605- 2 1.10000+ 1 2.40000+ 1 1.82646- 4 1.24272- 2 1.10000+ 1 2.50000+ 1 9.55675- 5 1.24329- 2 1.10000+ 1 2.70000+ 1 8.35082- 5 1.24342- 2 1.10000+ 1 2.90000+ 1 1.53442- 3 1.24780- 2 1.10000+ 1 3.00000+ 1 8.70815- 5 1.25036- 2 1.10000+ 1 3.20000+ 1 5.49279- 4 1.25657- 2 1.10000+ 1 3.30000+ 1 7.50221- 5 1.25689- 2 1.30000+ 1 1.30000+ 1 2.24585- 2 1.03720- 2 1.30000+ 1 1.40000+ 1 8.89134- 2 1.04840- 2 1.30000+ 1 1.60000+ 1 8.12784- 4 1.21466- 2 1.30000+ 1 1.80000+ 1 4.23725- 3 1.22706- 2 1.30000+ 1 1.90000+ 1 5.19737- 3 1.24008- 2 1.30000+ 1 2.10000+ 1 8.24384- 3 1.26050- 2 1.30000+ 1 2.20000+ 1 1.75954- 2 1.26294- 2 1.30000+ 1 2.40000+ 1 1.58627- 3 1.28961- 2 1.30000+ 1 2.50000+ 1 3.19707- 3 1.29018- 2 1.30000+ 1 2.70000+ 1 1.78629- 4 1.29031- 2 1.30000+ 1 2.90000+ 1 7.69016- 4 1.29469- 2 1.30000+ 1 3.00000+ 1 9.68177- 4 1.29725- 2 1.30000+ 1 3.20000+ 1 1.02451- 3 1.30346- 2 1.30000+ 1 3.30000+ 1 2.14772- 3 1.30378- 2 1.40000+ 1 1.40000+ 1 4.31972- 3 1.05960- 2 1.40000+ 1 1.60000+ 1 3.55924- 4 1.22586- 2 1.40000+ 1 1.80000+ 1 5.25697- 3 1.23826- 2 1.40000+ 1 1.90000+ 1 6.99761- 4 1.25128- 2 1.40000+ 1 2.10000+ 1 1.33980- 2 1.27170- 2 1.40000+ 1 2.20000+ 1 1.55579- 3 1.27414- 2 1.40000+ 1 2.40000+ 1 6.33255- 4 1.30081- 2 1.40000+ 1 2.50000+ 1 2.42037- 4 1.30138- 2 1.40000+ 1 2.70000+ 1 7.45804- 5 1.30151- 2 1.40000+ 1 2.90000+ 1 9.20357- 4 1.30589- 2 1.40000+ 1 3.00000+ 1 1.28171- 4 1.30845- 2 1.40000+ 1 3.20000+ 1 1.60091- 3 1.31466- 2 1.40000+ 1 3.30000+ 1 1.87548- 4 1.31498- 2 1.60000+ 1 1.60000+ 1 1.96504- 5 1.39211- 2 1.60000+ 1 1.80000+ 1 8.25250- 4 1.40451- 2 1.60000+ 1 1.90000+ 1 8.61902- 5 1.41754- 2 1.60000+ 1 2.10000+ 1 1.24148- 4 1.43796- 2 1.60000+ 1 2.20000+ 1 4.73356- 5 1.44040- 2 1.60000+ 1 2.40000+ 1 2.00965- 5 1.46707- 2 1.60000+ 1 2.50000+ 1 1.11642- 5 1.46764- 2 1.60000+ 1 2.70000+ 1 8.03860- 6 1.46777- 2 1.60000+ 1 2.90000+ 1 1.49151- 4 1.47214- 2 1.60000+ 1 3.00000+ 1 1.60770- 5 1.47471- 2 1.60000+ 1 3.20000+ 1 1.47375- 5 1.48092- 2 1.60000+ 1 3.30000+ 1 5.35890- 6 1.48124- 2 1.80000+ 1 1.80000+ 1 8.27924- 4 1.41691- 2 1.80000+ 1 1.90000+ 1 2.01353- 3 1.42994- 2 1.80000+ 1 2.10000+ 1 9.24384- 4 1.45036- 2 1.80000+ 1 2.20000+ 1 1.17271- 3 1.45280- 2 1.80000+ 1 2.40000+ 1 5.93911- 5 1.47947- 2 1.80000+ 1 2.50000+ 1 4.06381- 5 1.48004- 2 1.80000+ 1 2.70000+ 1 1.81311- 4 1.48017- 2 1.80000+ 1 2.90000+ 1 3.12596- 4 1.48454- 2 1.80000+ 1 3.00000+ 1 3.81378- 4 1.48711- 2 1.80000+ 1 3.20000+ 1 1.17900- 4 1.49332- 2 1.80000+ 1 3.30000+ 1 1.46027- 4 1.49364- 2 1.90000+ 1 1.90000+ 1 4.86783- 5 1.44297- 2 1.90000+ 1 2.10000+ 1 9.78499- 4 1.46339- 2 1.90000+ 1 2.20000+ 1 1.28174- 4 1.46582- 2 1.90000+ 1 2.40000+ 1 3.43866- 5 1.49250- 2 1.90000+ 1 2.50000+ 1 1.65235- 5 1.49307- 2 1.90000+ 1 2.70000+ 1 1.83093- 5 1.49320- 2 1.90000+ 1 2.90000+ 1 3.64858- 4 1.49757- 2 1.90000+ 1 3.00000+ 1 1.78631- 5 1.50014- 2 1.90000+ 1 3.20000+ 1 1.21476- 4 1.50635- 2 1.90000+ 1 3.30000+ 1 1.56302- 5 1.50667- 2 2.10000+ 1 2.10000+ 1 7.49834- 4 1.48381- 2 2.10000+ 1 2.20000+ 1 2.76296- 3 1.48624- 2 2.10000+ 1 2.40000+ 1 1.99618- 4 1.51292- 2 2.10000+ 1 2.50000+ 1 4.06384- 4 1.51349- 2 2.10000+ 1 2.70000+ 1 2.72423- 5 1.51362- 2 2.10000+ 1 2.90000+ 1 1.67029- 4 1.51799- 2 2.10000+ 1 3.00000+ 1 1.82649- 4 1.52056- 2 2.10000+ 1 3.20000+ 1 1.85784- 4 1.52677- 2 2.10000+ 1 3.30000+ 1 3.39398- 4 1.52709- 2 2.20000+ 1 2.20000+ 1 1.41565- 4 1.48868- 2 2.20000+ 1 2.40000+ 1 8.66324- 5 1.51535- 2 2.20000+ 1 2.50000+ 1 3.39393- 5 1.51592- 2 2.20000+ 1 2.70000+ 1 9.82487- 6 1.51605- 2 2.20000+ 1 2.90000+ 1 2.05873- 4 1.52043- 2 2.20000+ 1 3.00000+ 1 2.36686- 5 1.52299- 2 2.20000+ 1 3.20000+ 1 3.32246- 4 1.52920- 2 2.20000+ 1 3.30000+ 1 3.39393- 5 1.52952- 2 2.40000+ 1 2.40000+ 1 4.52728- 6 1.54203- 2 2.40000+ 1 2.50000+ 1 3.25969- 5 1.54260- 2 2.40000+ 1 2.70000+ 1 4.52728- 6 1.54273- 2 2.40000+ 1 2.90000+ 1 1.04133- 5 1.54710- 2 2.40000+ 1 3.00000+ 1 6.33825- 6 1.54967- 2 2.40000+ 1 3.20000+ 1 2.35426- 5 1.55588- 2 2.40000+ 1 3.30000+ 1 9.96030- 6 1.55620- 2 2.50000+ 1 2.50000+ 1 2.25270- 6 1.54317- 2 2.50000+ 1 2.70000+ 1 2.25270- 6 1.54330- 2 2.50000+ 1 2.90000+ 1 6.75819- 6 1.54767- 2 2.50000+ 1 3.00000+ 1 3.15377- 6 1.55024- 2 2.50000+ 1 3.20000+ 1 4.73076- 5 1.55645- 2 2.50000+ 1 3.30000+ 1 4.05495- 6 1.55677- 2 2.70000+ 1 2.70000+ 1 8.80183- 7 1.54343- 2 2.70000+ 1 2.90000+ 1 3.21271- 5 1.54780- 2 2.70000+ 1 3.00000+ 1 3.52079- 6 1.55037- 2 2.70000+ 1 3.20000+ 1 3.08061- 6 1.55658- 2 2.70000+ 1 3.30000+ 1 1.32026- 6 1.55690- 2 2.90000+ 1 2.90000+ 1 2.91234- 5 1.55218- 2 2.90000+ 1 3.00000+ 1 6.83946- 5 1.55474- 2 2.90000+ 1 3.20000+ 1 2.11800- 5 1.56095- 2 2.90000+ 1 3.30000+ 1 2.51518- 5 1.56127- 2 3.00000+ 1 3.00000+ 1 1.89549- 6 1.55731- 2 3.00000+ 1 3.20000+ 1 2.41672- 5 1.56352- 2 3.00000+ 1 3.30000+ 1 2.84325- 6 1.56384- 2 3.20000+ 1 3.20000+ 1 1.16104- 5 1.56973- 2 3.20000+ 1 3.30000+ 1 4.10856- 5 1.57005- 2 3.30000+ 1 3.30000+ 1 2.23280- 6 1.57037- 2 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.63541- 2 9.45110- 3 1.00000+ 1 1.76691- 4 9.73230- 3 1.10000+ 1 1.59651- 4 1.02581- 2 1.30000+ 1 2.86032- 2 1.07270- 2 1.40000+ 1 2.51881- 1 1.08390- 2 1.60000+ 1 3.72472- 3 1.25016- 2 1.80000+ 1 3.99312- 5 1.26256- 2 1.90000+ 1 4.11832- 5 1.27558- 2 2.10000+ 1 5.40263- 3 1.29600- 2 2.20000+ 1 4.89093- 2 1.29844- 2 2.40000+ 1 4.52112- 5 1.32511- 2 2.50000+ 1 2.52191- 4 1.32568- 2 2.70000+ 1 8.17274- 4 1.32581- 2 2.90000+ 1 8.37674- 6 1.33019- 2 3.00000+ 1 8.76815- 6 1.33275- 2 3.20000+ 1 7.06844- 4 1.33896- 2 3.30000+ 1 6.29773- 3 1.33928- 2 4.10000+ 1 1.13281- 4 1.34073- 2 4.30000+ 1 3.71132- 7 1.34164- 2 4.40000+ 1 3.20292- 7 1.34186- 2 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 6.73318- 4 5.47720- 3 8.00000+ 0 1.00000+ 1 3.33092- 4 5.75840- 3 8.00000+ 0 1.10000+ 1 2.05136- 2 6.28420- 3 8.00000+ 0 1.30000+ 1 2.64737- 3 6.75310- 3 8.00000+ 0 1.40000+ 1 4.58174- 3 6.86510- 3 8.00000+ 0 1.60000+ 1 2.63433- 4 8.52767- 3 8.00000+ 0 1.80000+ 1 5.93860- 5 8.65167- 3 8.00000+ 0 1.90000+ 1 3.23861- 3 8.78194- 3 8.00000+ 0 2.10000+ 1 2.82634- 4 8.98615- 3 8.00000+ 0 2.20000+ 1 4.52304- 4 9.01049- 3 8.00000+ 0 2.40000+ 1 2.41119- 4 9.27723- 3 8.00000+ 0 2.50000+ 1 4.23295- 4 9.28293- 3 8.00000+ 0 2.70000+ 1 5.44745- 5 9.28424- 3 8.00000+ 0 2.90000+ 1 1.07164- 5 9.32798- 3 8.00000+ 0 3.00000+ 1 5.65288- 4 9.35364- 3 8.00000+ 0 3.20000+ 1 3.21493- 5 9.41573- 3 8.00000+ 0 3.30000+ 1 4.86706- 5 9.41893- 3 1.00000+ 1 1.00000+ 1 2.81305- 5 6.03960- 3 1.00000+ 1 1.10000+ 1 3.44288- 2 6.56540- 3 1.00000+ 1 1.30000+ 1 1.59853- 3 7.03430- 3 1.00000+ 1 1.40000+ 1 1.34196- 2 7.14630- 3 1.00000+ 1 1.60000+ 1 6.87643- 5 8.80887- 3 1.00000+ 1 1.80000+ 1 1.60749- 5 8.93287- 3 1.00000+ 1 1.90000+ 1 5.64519- 3 9.06314- 3 1.00000+ 1 2.10000+ 1 3.07210- 4 9.26735- 3 1.00000+ 1 2.20000+ 1 2.13476- 3 9.29169- 3 1.00000+ 1 2.40000+ 1 2.32189- 4 9.55843- 3 1.00000+ 1 2.50000+ 1 5.80029- 4 9.56413- 3 1.00000+ 1 2.70000+ 1 1.47348- 5 9.56544- 3 1.00000+ 1 2.90000+ 1 3.57222- 6 9.60918- 3 1.00000+ 1 3.00000+ 1 9.92583- 4 9.63484- 3 1.00000+ 1 3.20000+ 1 3.88460- 5 9.69693- 3 1.00000+ 1 3.30000+ 1 2.52284- 4 9.70013- 3 1.10000+ 1 1.10000+ 1 4.31018- 2 7.09120- 3 1.10000+ 1 1.30000+ 1 4.51464- 2 7.56010- 3 1.10000+ 1 1.40000+ 1 6.05424- 2 7.67210- 3 1.10000+ 1 1.60000+ 1 5.23524- 3 9.33467- 3 1.10000+ 1 1.80000+ 1 7.88413- 3 9.45867- 3 1.10000+ 1 1.90000+ 1 1.71221- 2 9.58894- 3 1.10000+ 1 2.10000+ 1 9.39747- 3 9.79315- 3 1.10000+ 1 2.20000+ 1 1.24372- 2 9.81749- 3 1.10000+ 1 2.40000+ 1 8.55101- 4 1.00842- 2 1.10000+ 1 2.50000+ 1 1.05071- 3 1.00899- 2 1.10000+ 1 2.70000+ 1 1.14403- 3 1.00912- 2 1.10000+ 1 2.90000+ 1 1.53164- 3 1.01350- 2 1.10000+ 1 3.00000+ 1 3.14406- 3 1.01606- 2 1.10000+ 1 3.20000+ 1 1.19049- 3 1.02227- 2 1.10000+ 1 3.30000+ 1 1.52845- 3 1.02259- 2 1.30000+ 1 1.30000+ 1 6.20562- 3 8.02900- 3 1.30000+ 1 1.40000+ 1 1.16070- 1 8.14100- 3 1.30000+ 1 1.60000+ 1 6.38966- 4 9.80357- 3 1.30000+ 1 1.80000+ 1 3.87138- 4 9.92757- 3 1.30000+ 1 1.90000+ 1 6.73269- 3 1.00578- 2 1.30000+ 1 2.10000+ 1 2.19107- 3 1.02620- 2 1.30000+ 1 2.20000+ 1 1.71443- 2 1.02864- 2 1.30000+ 1 2.40000+ 1 4.69741- 4 1.05531- 2 1.30000+ 1 2.50000+ 1 1.59047- 3 1.05588- 2 1.30000+ 1 2.70000+ 1 1.38425- 4 1.05601- 2 1.30000+ 1 2.90000+ 1 7.59105- 5 1.06039- 2 1.30000+ 1 3.00000+ 1 1.16139- 3 1.06295- 2 1.30000+ 1 3.20000+ 1 2.71038- 4 1.06916- 2 1.30000+ 1 3.30000+ 1 1.99379- 3 1.06948- 2 1.40000+ 1 1.40000+ 1 7.71854- 2 8.25300- 3 1.40000+ 1 1.60000+ 1 1.12114- 3 9.91557- 3 1.40000+ 1 1.80000+ 1 2.78395- 3 1.00396- 2 1.40000+ 1 1.90000+ 1 1.01718- 2 1.01698- 2 1.40000+ 1 2.10000+ 1 2.07078- 2 1.03740- 2 1.40000+ 1 2.20000+ 1 2.60946- 2 1.03984- 2 1.40000+ 1 2.40000+ 1 4.96097- 3 1.06651- 2 1.40000+ 1 2.50000+ 1 4.50834- 3 1.06708- 2 1.40000+ 1 2.70000+ 1 2.45129- 4 1.06721- 2 1.40000+ 1 2.90000+ 1 5.30428- 4 1.07159- 2 1.40000+ 1 3.00000+ 1 1.80955- 3 1.07415- 2 1.40000+ 1 3.20000+ 1 2.55743- 3 1.08036- 2 1.40000+ 1 3.30000+ 1 3.11422- 3 1.08068- 2 1.60000+ 1 1.60000+ 1 2.63450- 5 1.15781- 2 1.60000+ 1 1.80000+ 1 1.29496- 5 1.17021- 2 1.60000+ 1 1.90000+ 1 8.26536- 4 1.18324- 2 1.60000+ 1 2.10000+ 1 7.41263- 5 1.20366- 2 1.60000+ 1 2.20000+ 1 1.18782- 4 1.20610- 2 1.60000+ 1 2.40000+ 1 3.21514- 5 1.23277- 2 1.60000+ 1 2.50000+ 1 6.38550- 5 1.23334- 2 1.60000+ 1 2.70000+ 1 1.11638- 5 1.23347- 2 1.60000+ 1 2.90000+ 1 2.23267- 6 1.23784- 2 1.60000+ 1 3.00000+ 1 1.44232- 4 1.24041- 2 1.60000+ 1 3.20000+ 1 8.48433- 6 1.24662- 2 1.60000+ 1 3.30000+ 1 1.29496- 5 1.24694- 2 1.80000+ 1 1.80000+ 1 8.92999- 7 1.18261- 2 1.80000+ 1 1.90000+ 1 1.28466- 3 1.19564- 2 1.80000+ 1 2.10000+ 1 6.96557- 5 1.21606- 2 1.80000+ 1 2.20000+ 1 4.74207- 4 1.21850- 2 1.80000+ 1 2.40000+ 1 3.43812- 5 1.24517- 2 1.80000+ 1 2.50000+ 1 8.12625- 5 1.24574- 2 1.80000+ 1 2.70000+ 1 2.67904- 6 1.24587- 2 1.80000+ 1 2.90000+ 1 4.46520- 7 1.25024- 2 1.80000+ 1 3.00000+ 1 2.25484- 4 1.25281- 2 1.80000+ 1 3.20000+ 1 8.48390- 6 1.25902- 2 1.80000+ 1 3.30000+ 1 5.62600- 5 1.25934- 2 1.90000+ 1 1.90000+ 1 1.62669- 3 1.20867- 2 1.90000+ 1 2.10000+ 1 1.40474- 3 1.22909- 2 1.90000+ 1 2.20000+ 1 2.05796- 3 1.23152- 2 1.90000+ 1 2.40000+ 1 1.04927- 4 1.25820- 2 1.90000+ 1 2.50000+ 1 1.35738- 4 1.25877- 2 1.90000+ 1 2.70000+ 1 1.80397- 4 1.25890- 2 1.90000+ 1 2.90000+ 1 2.49162- 4 1.26327- 2 1.90000+ 1 3.00000+ 1 5.92079- 4 1.26584- 2 1.90000+ 1 3.20000+ 1 1.78160- 4 1.27205- 2 1.90000+ 1 3.30000+ 1 2.52286- 4 1.27237- 2 2.10000+ 1 2.10000+ 1 1.85760- 4 1.24951- 2 2.10000+ 1 2.20000+ 1 3.19837- 3 1.25194- 2 2.10000+ 1 2.40000+ 1 5.53678- 5 1.27862- 2 2.10000+ 1 2.50000+ 1 1.77712- 4 1.27919- 2 2.10000+ 1 2.70000+ 1 1.65216- 5 1.27932- 2 2.10000+ 1 2.90000+ 1 1.33958- 5 1.28369- 2 2.10000+ 1 3.00000+ 1 2.42457- 4 1.28626- 2 2.10000+ 1 3.20000+ 1 4.55456- 5 1.29247- 2 2.10000+ 1 3.30000+ 1 3.74196- 4 1.29279- 2 2.20000+ 1 2.20000+ 1 2.22460- 3 1.25438- 2 2.20000+ 1 2.40000+ 1 5.74600- 4 1.28105- 2 2.20000+ 1 2.50000+ 1 5.13702- 4 1.28162- 2 2.20000+ 1 2.70000+ 1 2.64230- 5 1.28175- 2 2.20000+ 1 2.90000+ 1 9.13618- 5 1.28613- 2 2.20000+ 1 3.00000+ 1 3.65901- 4 1.28869- 2 2.20000+ 1 3.20000+ 1 3.98610- 4 1.29490- 2 2.20000+ 1 3.30000+ 1 5.30726- 4 1.29522- 2 2.40000+ 1 2.40000+ 1 2.36790- 6 1.30773- 2 2.40000+ 1 2.50000+ 1 7.24602- 5 1.30830- 2 2.40000+ 1 2.70000+ 1 6.63023- 6 1.30843- 2 2.40000+ 1 2.90000+ 1 6.63023- 6 1.31280- 2 2.40000+ 1 3.00000+ 1 1.84696- 5 1.31537- 2 2.40000+ 1 3.20000+ 1 6.63023- 6 1.32158- 2 2.40000+ 1 3.30000+ 1 6.77225- 5 1.32190- 2 2.50000+ 1 2.50000+ 1 2.41136- 5 1.30887- 2 2.50000+ 1 2.70000+ 1 1.29497- 5 1.30900- 2 2.50000+ 1 2.90000+ 1 1.42899- 5 1.31337- 2 2.50000+ 1 3.00000+ 1 2.27725- 5 1.31594- 2 2.50000+ 1 3.20000+ 1 2.00943- 5 1.32215- 2 2.50000+ 1 3.30000+ 1 5.67108- 5 1.32247- 2 2.70000+ 1 2.70000+ 1 1.67180- 6 1.30913- 2 2.70000+ 1 2.90000+ 1 5.57263- 7 1.31350- 2 2.70000+ 1 3.00000+ 1 3.95658- 5 1.31607- 2 2.70000+ 1 3.20000+ 1 2.22890- 6 1.32228- 2 2.70000+ 1 3.30000+ 1 3.34348- 6 1.32260- 2 2.90000+ 1 3.00000+ 1 5.86919- 5 1.32044- 2 2.90000+ 1 3.20000+ 1 2.39549- 6 1.32665- 2 2.90000+ 1 3.30000+ 1 1.43740- 5 1.32697- 2 3.00000+ 1 3.00000+ 1 7.33545- 5 1.32301- 2 3.00000+ 1 3.20000+ 1 4.21782- 5 1.32922- 2 3.00000+ 1 3.30000+ 1 6.11282- 5 1.32954- 2 3.20000+ 1 3.20000+ 1 2.67906- 6 1.33543- 2 3.20000+ 1 3.30000+ 1 4.64382- 5 1.33575- 2 3.30000+ 1 3.30000+ 1 3.17032- 5 1.33607- 2 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.02441- 5 2.81200- 4 1.10000+ 1 5.36543- 4 8.07000- 4 1.80000+ 1 1.67191- 3 3.17447- 3 1.90000+ 1 1.24441- 3 3.30474- 3 2.90000+ 1 3.73512- 4 3.85078- 3 3.00000+ 1 3.00142- 4 3.87644- 3 4.30000+ 1 1.77451- 5 3.96530- 3 4.40000+ 1 1.19811- 5 3.96755- 3 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 2.54802- 2 1.07330- 4 1.00000+ 1 2.50000+ 1 3.42967- 2 1.13030- 4 1.00000+ 1 2.70000+ 1 1.21048- 2 1.14340- 4 1.00000+ 1 2.90000+ 1 1.18753- 2 1.58080- 4 1.00000+ 1 3.00000+ 1 1.53413- 2 1.83740- 4 1.00000+ 1 3.20000+ 1 7.08077- 3 2.45830- 4 1.00000+ 1 3.30000+ 1 9.37236- 3 2.49030- 4 1.00000+ 1 4.10000+ 1 1.49263- 3 2.63510- 4 1.00000+ 1 4.30000+ 1 4.74367- 4 2.72600- 4 1.00000+ 1 4.40000+ 1 5.12187- 4 2.74850- 4 1.10000+ 1 1.80000+ 1 5.58492- 2 7.57000- 6 1.10000+ 1 1.90000+ 1 5.58286- 2 1.37840- 4 1.10000+ 1 2.10000+ 1 1.68029- 2 3.42050- 4 1.10000+ 1 2.20000+ 1 2.98032- 2 3.66390- 4 1.10000+ 1 2.40000+ 1 1.79457- 1 6.33130- 4 1.10000+ 1 2.50000+ 1 2.21200- 1 6.38830- 4 1.10000+ 1 2.70000+ 1 1.07422- 2 6.40140- 4 1.10000+ 1 2.90000+ 1 1.03409- 2 6.83880- 4 1.10000+ 1 3.00000+ 1 1.03203- 2 7.09540- 4 1.10000+ 1 3.20000+ 1 2.12429- 3 7.71630- 4 1.10000+ 1 3.30000+ 1 3.77848- 3 7.74830- 4 1.10000+ 1 4.10000+ 1 1.34398- 3 7.89310- 4 1.10000+ 1 4.30000+ 1 4.20807- 4 7.98400- 4 1.10000+ 1 4.40000+ 1 3.51939- 4 8.00650- 4 1.30000+ 1 1.60000+ 1 2.55145- 2 3.52470- 4 1.30000+ 1 1.80000+ 1 5.53523- 3 4.76470- 4 1.30000+ 1 1.90000+ 1 7.20188- 3 6.06740- 4 1.30000+ 1 2.10000+ 1 8.78594- 3 8.10950- 4 1.30000+ 1 2.20000+ 1 1.08040- 2 8.35290- 4 1.30000+ 1 2.40000+ 1 9.18051- 3 1.10203- 3 1.30000+ 1 2.50000+ 1 8.49065- 3 1.10773- 3 1.30000+ 1 2.70000+ 1 3.55552- 3 1.10904- 3 1.30000+ 1 2.90000+ 1 8.46837- 4 1.15278- 3 1.30000+ 1 3.00000+ 1 1.03155- 3 1.17844- 3 1.30000+ 1 3.20000+ 1 9.21248- 4 1.24053- 3 1.30000+ 1 3.30000+ 1 1.19399- 3 1.24373- 3 1.30000+ 1 4.10000+ 1 4.18328- 4 1.25821- 3 1.30000+ 1 4.30000+ 1 3.40895- 5 1.26730- 3 1.30000+ 1 4.40000+ 1 3.42279- 5 1.26955- 3 1.40000+ 1 1.60000+ 1 3.54584- 2 4.64470- 4 1.40000+ 1 1.80000+ 1 9.22950- 4 5.88470- 4 1.40000+ 1 1.90000+ 1 1.11497- 2 7.18740- 4 1.40000+ 1 2.10000+ 1 1.21641- 2 9.22950- 4 1.40000+ 1 2.20000+ 1 1.71686- 2 9.47290- 4 1.40000+ 1 2.40000+ 1 1.05101- 2 1.21403- 3 1.40000+ 1 2.50000+ 1 1.62591- 2 1.21973- 3 1.40000+ 1 2.70000+ 1 4.87959- 3 1.22104- 3 1.40000+ 1 2.90000+ 1 1.75697- 4 1.26478- 3 1.40000+ 1 3.00000+ 1 1.57901- 3 1.29044- 3 1.40000+ 1 3.20000+ 1 1.39064- 3 1.35253- 3 1.40000+ 1 3.30000+ 1 1.82889- 3 1.35573- 3 1.40000+ 1 4.10000+ 1 5.74036- 4 1.37021- 3 1.40000+ 1 4.30000+ 1 7.45330- 6 1.37930- 3 1.40000+ 1 4.40000+ 1 5.24473- 5 1.38155- 3 1.60000+ 1 1.60000+ 1 2.41699- 3 2.12704- 3 1.60000+ 1 1.80000+ 1 4.23039- 3 2.25104- 3 1.60000+ 1 1.90000+ 1 6.91372- 3 2.38131- 3 1.60000+ 1 2.10000+ 1 8.07689- 3 2.58552- 3 1.60000+ 1 2.20000+ 1 1.13384- 2 2.60986- 3 1.60000+ 1 2.40000+ 1 5.82121- 3 2.87660- 3 1.60000+ 1 2.50000+ 1 7.28885- 3 2.88230- 3 1.60000+ 1 2.70000+ 1 8.60570- 4 2.88361- 3 1.60000+ 1 2.90000+ 1 8.26834- 4 2.92735- 3 1.60000+ 1 3.00000+ 1 1.30635- 3 2.95301- 3 1.60000+ 1 3.20000+ 1 1.01120- 3 3.01510- 3 1.60000+ 1 3.30000+ 1 1.38175- 3 3.01830- 3 1.60000+ 1 4.10000+ 1 1.06785- 4 3.03278- 3 1.60000+ 1 4.30000+ 1 3.43036- 5 3.04187- 3 1.60000+ 1 4.40000+ 1 4.50347- 5 3.04412- 3 1.80000+ 1 1.80000+ 1 1.76448- 4 2.37504- 3 1.80000+ 1 1.90000+ 1 5.19142- 4 2.50531- 3 1.80000+ 1 2.10000+ 1 2.67042- 4 2.70952- 3 1.80000+ 1 2.20000+ 1 1.45838- 4 2.73386- 3 1.80000+ 1 2.40000+ 1 3.64140- 5 3.00060- 3 1.80000+ 1 2.50000+ 1 4.61959- 4 3.00630- 3 1.80000+ 1 2.70000+ 1 5.75437- 4 3.00761- 3 1.80000+ 1 2.90000+ 1 5.11926- 5 3.05135- 3 1.80000+ 1 3.00000+ 1 7.14258- 5 3.07701- 3 1.80000+ 1 3.20000+ 1 2.90275- 5 3.13910- 3 1.80000+ 1 3.30000+ 1 2.14624- 5 3.14230- 3 1.80000+ 1 4.10000+ 1 6.77285- 5 3.15678- 3 1.80000+ 1 4.30000+ 1 2.11098- 6 3.16587- 3 1.80000+ 1 4.40000+ 1 2.28691- 6 3.16812- 3 1.90000+ 1 1.90000+ 1 5.81409- 4 2.63558- 3 1.90000+ 1 2.10000+ 1 6.00778- 4 2.83979- 3 1.90000+ 1 2.20000+ 1 1.38087- 3 2.86413- 3 1.90000+ 1 2.40000+ 1 6.59512- 4 3.13087- 3 1.90000+ 1 2.50000+ 1 1.09985- 3 3.13657- 3 1.90000+ 1 2.70000+ 1 9.45915- 4 3.13788- 3 1.90000+ 1 2.90000+ 1 8.58495- 5 3.18162- 3 1.90000+ 1 3.00000+ 1 1.84540- 4 3.20728- 3 1.90000+ 1 3.20000+ 1 7.54682- 5 3.26937- 3 1.90000+ 1 3.30000+ 1 1.60432- 4 3.27257- 3 1.90000+ 1 4.10000+ 1 1.11536- 4 3.28705- 3 1.90000+ 1 4.30000+ 1 3.51839- 6 3.29614- 3 1.90000+ 1 4.40000+ 1 6.15721- 6 3.29839- 3 2.10000+ 1 2.10000+ 1 9.66075- 5 3.04400- 3 2.10000+ 1 2.20000+ 1 3.51999- 4 3.06834- 3 2.10000+ 1 2.40000+ 1 4.42990- 4 3.33508- 3 2.10000+ 1 2.50000+ 1 2.93267- 3 3.34078- 3 2.10000+ 1 2.70000+ 1 1.07692- 3 3.34209- 3 2.10000+ 1 2.90000+ 1 3.40762- 5 3.38583- 3 2.10000+ 1 3.00000+ 1 8.80039- 5 3.41149- 3 2.10000+ 1 3.20000+ 1 1.93210- 5 3.47358- 3 2.10000+ 1 3.30000+ 1 3.65359- 5 3.47678- 3 2.10000+ 1 4.10000+ 1 1.26115- 4 3.49126- 3 2.10000+ 1 4.30000+ 1 1.40522- 6 3.50035- 3 2.10000+ 1 4.40000+ 1 2.98611- 6 3.50260- 3 2.20000+ 1 2.20000+ 1 2.38376- 4 3.09268- 3 2.20000+ 1 2.40000+ 1 2.70738- 3 3.35942- 3 2.20000+ 1 2.50000+ 1 1.65098- 3 3.36512- 3 2.20000+ 1 2.70000+ 1 1.50892- 3 3.36643- 3 2.20000+ 1 2.90000+ 1 2.11103- 5 3.41017- 3 2.20000+ 1 3.00000+ 1 1.99848- 4 3.43583- 3 2.20000+ 1 3.20000+ 1 3.43041- 5 3.49792- 3 2.20000+ 1 3.30000+ 1 4.80265- 5 3.50112- 3 2.20000+ 1 4.10000+ 1 1.76628- 4 3.51560- 3 2.20000+ 1 4.30000+ 1 8.79588- 7 3.52469- 3 2.20000+ 1 4.40000+ 1 6.68498- 6 3.52694- 3 2.40000+ 1 2.40000+ 1 6.03752- 4 3.62616- 3 2.40000+ 1 2.50000+ 1 4.02006- 3 3.63186- 3 2.40000+ 1 2.70000+ 1 7.16141- 4 3.63317- 3 2.40000+ 1 2.90000+ 1 5.27762- 6 3.67691- 3 2.40000+ 1 3.00000+ 1 6.96612- 5 3.70257- 3 2.40000+ 1 3.20000+ 1 5.04892- 5 3.76466- 3 2.40000+ 1 3.30000+ 1 3.30731- 4 3.76786- 3 2.40000+ 1 4.10000+ 1 8.28570- 5 3.78234- 3 2.40000+ 1 4.30000+ 1 1.75925- 7 3.79143- 3 2.40000+ 1 4.40000+ 1 2.28693- 6 3.79368- 3 2.50000+ 1 2.50000+ 1 1.36544- 3 3.63756- 3 2.50000+ 1 2.70000+ 1 8.81215- 4 3.63887- 3 2.50000+ 1 2.90000+ 1 7.82652- 5 3.68261- 3 2.50000+ 1 3.00000+ 1 1.23117- 4 3.70827- 3 2.50000+ 1 3.20000+ 1 3.52551- 4 3.77036- 3 2.50000+ 1 3.30000+ 1 1.90639- 4 3.77356- 3 2.50000+ 1 4.10000+ 1 1.01988- 4 3.78804- 3 2.50000+ 1 4.30000+ 1 3.11687- 6 3.79713- 3 2.50000+ 1 4.40000+ 1 3.98262- 6 3.79938- 3 2.70000+ 1 2.70000+ 1 7.91387- 5 3.64018- 3 2.70000+ 1 2.90000+ 1 1.26466- 4 3.68392- 3 2.70000+ 1 3.00000+ 1 1.99518- 4 3.70958- 3 2.70000+ 1 3.20000+ 1 1.51600- 4 3.77167- 3 2.70000+ 1 3.30000+ 1 2.06385- 4 3.77487- 3 2.70000+ 1 4.10000+ 1 1.94409- 5 3.78935- 3 2.70000+ 1 4.30000+ 1 5.30201- 6 3.79844- 3 2.70000+ 1 4.40000+ 1 6.87301- 6 3.80069- 3 2.90000+ 1 2.90000+ 1 5.36708- 6 3.72766- 3 2.90000+ 1 3.00000+ 1 1.66124- 5 3.75332- 3 2.90000+ 1 3.20000+ 1 5.36708- 6 3.81541- 3 2.90000+ 1 3.30000+ 1 4.85587- 6 3.81861- 3 2.90000+ 1 4.10000+ 1 1.94236- 5 3.83309- 3 2.90000+ 1 4.30000+ 1 5.11148- 7 3.84218- 3 2.90000+ 1 4.40000+ 1 5.11148- 7 3.84443- 3 3.00000+ 1 3.00000+ 1 2.08243- 5 3.77898- 3 3.00000+ 1 3.20000+ 1 1.63990- 5 3.84107- 3 3.00000+ 1 3.30000+ 1 3.46196- 5 3.84427- 3 3.00000+ 1 4.10000+ 1 3.12354- 5 3.85875- 3 3.00000+ 1 4.30000+ 1 7.80903- 7 3.86784- 3 3.00000+ 1 4.40000+ 1 1.30146- 6 3.87009- 3 3.20000+ 1 3.20000+ 1 9.49002- 7 3.90316- 3 3.20000+ 1 3.30000+ 1 3.98592- 6 3.90636- 3 3.20000+ 1 4.10000+ 1 1.70828- 5 3.92084- 3 3.20000+ 1 4.30000+ 1 1.89811- 7 3.92993- 3 3.20000+ 1 4.40000+ 1 3.79610- 7 3.93218- 3 3.30000+ 1 3.30000+ 1 2.35985- 6 3.90956- 3 3.30000+ 1 4.10000+ 1 2.23277- 5 3.92404- 3 3.30000+ 1 4.30000+ 1 1.81535- 7 3.93313- 3 3.30000+ 1 4.40000+ 1 7.26101- 7 3.93538- 3 4.10000+ 1 4.10000+ 1 1.05549- 6 3.93852- 3 4.10000+ 1 4.30000+ 1 5.27763- 7 3.94761- 3 4.10000+ 1 4.40000+ 1 7.03664- 7 3.94986- 3 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.12521- 3 9.94700- 4 1.60000+ 1 7.79744- 4 2.76927- 3 2.10000+ 1 4.13682- 3 3.22775- 3 2.70000+ 1 1.74831- 4 3.52584- 3 3.20000+ 1 6.48994- 4 3.65733- 3 4.10000+ 1 2.42851- 5 3.67501- 3 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 5.95425- 3 6.08500- 5 1.10000+ 1 2.20000+ 1 1.45843- 2 8.51900- 5 1.10000+ 1 2.40000+ 1 2.84277- 2 3.51930- 4 1.10000+ 1 2.50000+ 1 2.55248- 2 3.57630- 4 1.10000+ 1 2.70000+ 1 3.09890- 3 3.58940- 4 1.10000+ 1 2.90000+ 1 3.98873- 3 4.02680- 4 1.10000+ 1 3.00000+ 1 2.40840- 3 4.28340- 4 1.10000+ 1 3.20000+ 1 9.99752- 4 4.90430- 4 1.10000+ 1 3.30000+ 1 2.04249- 3 4.93630- 4 1.10000+ 1 4.10000+ 1 3.70812- 4 5.08110- 4 1.10000+ 1 4.30000+ 1 1.53047- 4 5.17200- 4 1.10000+ 1 4.40000+ 1 7.82361- 5 5.19450- 4 1.30000+ 1 1.60000+ 1 4.83854- 2 7.12700- 5 1.30000+ 1 1.80000+ 1 4.94329- 2 1.95270- 4 1.30000+ 1 1.90000+ 1 4.38844- 2 3.25540- 4 1.30000+ 1 2.10000+ 1 1.80232- 2 5.29750- 4 1.30000+ 1 2.20000+ 1 2.31801- 2 5.54090- 4 1.30000+ 1 2.40000+ 1 1.42623- 1 8.20830- 4 1.30000+ 1 2.50000+ 1 2.20918- 1 8.26530- 4 1.30000+ 1 2.70000+ 1 1.03781- 2 8.27840- 4 1.30000+ 1 2.90000+ 1 8.13379- 3 8.71580- 4 1.30000+ 1 3.00000+ 1 7.99914- 3 8.97240- 4 1.30000+ 1 3.20000+ 1 2.35547- 3 9.59330- 4 1.30000+ 1 3.30000+ 1 3.09959- 3 9.62530- 4 1.30000+ 1 4.10000+ 1 1.30746- 3 9.77010- 4 1.30000+ 1 4.30000+ 1 3.29388- 4 9.86100- 4 1.30000+ 1 4.40000+ 1 2.73064- 4 9.88350- 4 1.40000+ 1 1.60000+ 1 7.67888- 3 1.83270- 4 1.40000+ 1 1.80000+ 1 5.58132- 2 3.07270- 4 1.40000+ 1 1.90000+ 1 4.80160- 3 4.37540- 4 1.40000+ 1 2.10000+ 1 1.10867- 3 6.41750- 4 1.40000+ 1 2.20000+ 1 2.71264- 3 6.66090- 4 1.40000+ 1 2.40000+ 1 6.17840- 3 9.32830- 4 1.40000+ 1 2.50000+ 1 4.12714- 3 9.38530- 4 1.40000+ 1 2.70000+ 1 1.09830- 3 9.39840- 4 1.40000+ 1 2.90000+ 1 7.16362- 3 9.83580- 4 1.40000+ 1 3.00000+ 1 7.70717- 4 1.00924- 3 1.40000+ 1 3.20000+ 1 7.00195- 5 1.07133- 3 1.40000+ 1 3.30000+ 1 3.06612- 4 1.07453- 3 1.40000+ 1 4.10000+ 1 1.30449- 4 1.08901- 3 1.40000+ 1 4.30000+ 1 2.79401- 4 1.09810- 3 1.40000+ 1 4.40000+ 1 2.58512- 5 1.10035- 3 1.60000+ 1 1.60000+ 1 7.15582- 4 1.84584- 3 1.60000+ 1 1.80000+ 1 1.05764- 2 1.96984- 3 1.60000+ 1 1.90000+ 1 1.43491- 3 2.10011- 3 1.60000+ 1 2.10000+ 1 3.67358- 4 2.30432- 3 1.60000+ 1 2.20000+ 1 1.23232- 3 2.32866- 3 1.60000+ 1 2.40000+ 1 4.90126- 5 2.59540- 3 1.60000+ 1 2.50000+ 1 8.91555- 4 2.60110- 3 1.60000+ 1 2.70000+ 1 2.38519- 4 2.60241- 3 1.60000+ 1 2.90000+ 1 1.31822- 3 2.64615- 3 1.60000+ 1 3.00000+ 1 2.44125- 4 2.67181- 3 1.60000+ 1 3.20000+ 1 3.31431- 5 2.73390- 3 1.60000+ 1 3.30000+ 1 1.37235- 4 2.73710- 3 1.60000+ 1 4.10000+ 1 2.89411- 5 2.75158- 3 1.60000+ 1 4.30000+ 1 5.13477- 5 2.76067- 3 1.60000+ 1 4.40000+ 1 8.40224- 6 2.76292- 3 1.80000+ 1 1.80000+ 1 8.16342- 3 2.09384- 3 1.80000+ 1 1.90000+ 1 2.27237- 2 2.22411- 3 1.80000+ 1 2.10000+ 1 2.27285- 2 2.42832- 3 1.80000+ 1 2.20000+ 1 3.60689- 2 2.45266- 3 1.80000+ 1 2.40000+ 1 1.34927- 2 2.71940- 3 1.80000+ 1 2.50000+ 1 2.25451- 2 2.72510- 3 1.80000+ 1 2.70000+ 1 2.28488- 3 2.72641- 3 1.80000+ 1 2.90000+ 1 2.65399- 3 2.77015- 3 1.80000+ 1 3.00000+ 1 4.25544- 3 2.79581- 3 1.80000+ 1 3.20000+ 1 2.85388- 3 2.85790- 3 1.80000+ 1 3.30000+ 1 4.35505- 3 2.86110- 3 1.80000+ 1 4.10000+ 1 2.90807- 4 2.87558- 3 1.80000+ 1 4.30000+ 1 1.07822- 4 2.88467- 3 1.80000+ 1 4.40000+ 1 1.46564- 4 2.88692- 3 1.90000+ 1 1.90000+ 1 6.05827- 4 2.35438- 3 1.90000+ 1 2.10000+ 1 1.48055- 3 2.55859- 3 1.90000+ 1 2.20000+ 1 1.30877- 3 2.58293- 3 1.90000+ 1 2.40000+ 1 9.14693- 3 2.84967- 3 1.90000+ 1 2.50000+ 1 2.52582- 3 2.85537- 3 1.90000+ 1 2.70000+ 1 1.98839- 4 2.85668- 3 1.90000+ 1 2.90000+ 1 2.89480- 3 2.90042- 3 1.90000+ 1 3.00000+ 1 1.91363- 4 2.92608- 3 1.90000+ 1 3.20000+ 1 1.48427- 4 2.98817- 3 1.90000+ 1 3.30000+ 1 1.40957- 4 2.99137- 3 1.90000+ 1 4.10000+ 1 2.33357- 5 3.00585- 3 1.90000+ 1 4.30000+ 1 1.12954- 4 3.01494- 3 1.90000+ 1 4.40000+ 1 6.53474- 6 3.01719- 3 2.10000+ 1 2.10000+ 1 7.95844- 4 2.76280- 3 2.10000+ 1 2.20000+ 1 1.84935- 3 2.78714- 3 2.10000+ 1 2.40000+ 1 9.85799- 4 3.05388- 3 2.10000+ 1 2.50000+ 1 1.65188- 3 3.05958- 3 2.10000+ 1 2.70000+ 1 7.56167- 5 3.06089- 3 2.10000+ 1 2.90000+ 1 2.81472- 3 3.10463- 3 2.10000+ 1 3.00000+ 1 2.50180- 4 3.13029- 3 2.10000+ 1 3.20000+ 1 1.64768- 4 3.19238- 3 2.10000+ 1 3.30000+ 1 2.06770- 4 3.19558- 3 2.10000+ 1 4.10000+ 1 9.80195- 6 3.21006- 3 2.10000+ 1 4.30000+ 1 1.09221- 4 3.21915- 3 2.10000+ 1 4.40000+ 1 8.40176- 6 3.22140- 3 2.20000+ 1 2.20000+ 1 4.76109- 4 2.81148- 3 2.20000+ 1 2.40000+ 1 2.71512- 3 3.07822- 3 2.20000+ 1 2.50000+ 1 6.30116- 4 3.08392- 3 2.20000+ 1 2.70000+ 1 2.11437- 4 3.08523- 3 2.20000+ 1 2.90000+ 1 4.52875- 3 3.12897- 3 2.20000+ 1 3.00000+ 1 1.89977- 4 3.15463- 3 2.20000+ 1 3.20000+ 1 1.92773- 4 3.21672- 3 2.20000+ 1 3.30000+ 1 9.80194- 5 3.21992- 3 2.20000+ 1 4.10000+ 1 2.61389- 5 3.23440- 3 2.20000+ 1 4.30000+ 1 1.76443- 4 3.24349- 3 2.20000+ 1 4.40000+ 1 6.06792- 6 3.24574- 3 2.40000+ 1 2.40000+ 1 3.37643- 3 3.34496- 3 2.40000+ 1 2.50000+ 1 2.16430- 2 3.35066- 3 2.40000+ 1 2.70000+ 1 5.60122- 6 3.35197- 3 2.40000+ 1 2.90000+ 1 1.54405- 3 3.39571- 3 2.40000+ 1 3.00000+ 1 1.61127- 3 3.42137- 3 2.40000+ 1 3.20000+ 1 1.37228- 4 3.48346- 3 2.40000+ 1 3.30000+ 1 3.75261- 4 3.48666- 3 2.40000+ 1 4.10000+ 1 4.66775- 7 3.50114- 3 2.40000+ 1 4.30000+ 1 5.97459- 5 3.51023- 3 2.40000+ 1 4.40000+ 1 5.50786- 5 3.51248- 3 2.50000+ 1 2.50000+ 1 1.13335- 3 3.35636- 3 2.50000+ 1 2.70000+ 1 1.59168- 4 3.35767- 3 2.50000+ 1 2.90000+ 1 2.53218- 3 3.40141- 3 2.50000+ 1 3.00000+ 1 3.97710- 4 3.42707- 3 2.50000+ 1 3.20000+ 1 2.15179- 4 3.48916- 3 2.50000+ 1 3.30000+ 1 7.98174- 5 3.49236- 3 2.50000+ 1 4.10000+ 1 1.96036- 5 3.50684- 3 2.50000+ 1 4.30000+ 1 9.70876- 5 3.51593- 3 2.50000+ 1 4.40000+ 1 1.35365- 5 3.51818- 3 2.70000+ 1 2.70000+ 1 2.07579- 5 3.35898- 3 2.70000+ 1 2.90000+ 1 3.02983- 4 3.40272- 3 2.70000+ 1 3.00000+ 1 3.60816- 5 3.42838- 3 2.70000+ 1 3.20000+ 1 6.91981- 6 3.49047- 3 2.70000+ 1 3.30000+ 1 2.52065- 5 3.49367- 3 2.70000+ 1 4.10000+ 1 4.94268- 6 3.50815- 3 2.70000+ 1 4.30000+ 1 1.18625- 5 3.51724- 3 2.70000+ 1 4.40000+ 1 9.88509- 7 3.51949- 3 2.90000+ 1 2.90000+ 1 2.15046- 4 3.44646- 3 2.90000+ 1 3.00000+ 1 5.77884- 4 3.47212- 3 2.90000+ 1 3.20000+ 1 3.76213- 4 3.53421- 3 2.90000+ 1 3.30000+ 1 5.81833- 4 3.53741- 3 2.90000+ 1 4.10000+ 1 3.85584- 5 3.55189- 3 2.90000+ 1 4.30000+ 1 1.73019- 5 3.56098- 3 2.90000+ 1 4.40000+ 1 1.97732- 5 3.56323- 3 3.00000+ 1 3.00000+ 1 2.42036- 5 3.49778- 3 3.00000+ 1 3.20000+ 1 4.08441- 5 3.55987- 3 3.00000+ 1 3.30000+ 1 3.32806- 5 3.56307- 3 3.00000+ 1 4.10000+ 1 6.80708- 6 3.57755- 3 3.00000+ 1 4.30000+ 1 3.47928- 5 3.58664- 3 3.00000+ 1 4.40000+ 1 1.51271- 6 3.58889- 3 3.20000+ 1 3.20000+ 1 9.58135- 6 3.62196- 3 3.20000+ 1 3.30000+ 1 2.60821- 5 3.62516- 3 3.20000+ 1 4.10000+ 1 1.06459- 6 3.63964- 3 3.20000+ 1 4.30000+ 1 1.59687- 5 3.64873- 3 3.20000+ 1 4.40000+ 1 1.06459- 6 3.65098- 3 3.30000+ 1 3.30000+ 1 7.47785- 6 3.62836- 3 3.30000+ 1 4.10000+ 1 4.07878- 6 3.64284- 3 3.30000+ 1 4.30000+ 1 3.12708- 5 3.65193- 3 3.30000+ 1 4.40000+ 1 6.79809- 7 3.65418- 3 4.10000+ 1 4.10000+ 1 4.66764- 7 3.65732- 3 4.10000+ 1 4.30000+ 1 1.40025- 6 3.66641- 3 4.30000+ 1 4.40000+ 1 9.33515- 7 3.67775- 3 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.48011- 5 4.68900- 4 1.40000+ 1 2.68661- 4 5.80900- 4 1.60000+ 1 1.46431- 3 2.24347- 3 2.10000+ 1 7.12362- 4 2.70195- 3 2.20000+ 1 5.47702- 3 2.72629- 3 2.70000+ 1 3.17151- 4 3.00004- 3 3.20000+ 1 1.03570- 4 3.13153- 3 3.30000+ 1 7.94993- 4 3.13473- 3 4.10000+ 1 4.38502- 5 3.14921- 3 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.10000+ 1 1.09254- 2 3.95000- 6 1.30000+ 1 2.20000+ 1 1.15085- 2 2.82900- 5 1.30000+ 1 2.40000+ 1 1.68262- 2 2.95030- 4 1.30000+ 1 2.50000+ 1 2.45429- 2 3.00730- 4 1.30000+ 1 2.70000+ 1 2.80177- 3 3.02040- 4 1.30000+ 1 2.90000+ 1 2.43909- 3 3.45780- 4 1.30000+ 1 3.00000+ 1 7.82576- 3 3.71440- 4 1.30000+ 1 3.20000+ 1 1.18433- 3 4.33530- 4 1.30000+ 1 3.30000+ 1 1.23398- 3 4.36730- 4 1.30000+ 1 4.10000+ 1 3.43420- 4 4.51210- 4 1.30000+ 1 4.30000+ 1 9.84106- 5 4.60300- 4 1.30000+ 1 4.40000+ 1 2.57414- 4 4.62550- 4 1.40000+ 1 2.10000+ 1 4.83989- 2 1.15950- 4 1.40000+ 1 2.20000+ 1 6.58564- 2 1.40290- 4 1.40000+ 1 2.40000+ 1 1.85177- 1 4.07030- 4 1.40000+ 1 2.50000+ 1 2.23748- 1 4.12730- 4 1.40000+ 1 2.70000+ 1 1.67637- 2 4.14040- 4 1.40000+ 1 2.90000+ 1 1.64378- 2 4.57780- 4 1.40000+ 1 3.00000+ 1 1.96788- 2 4.83440- 4 1.40000+ 1 3.20000+ 1 5.17443- 3 5.45530- 4 1.40000+ 1 3.30000+ 1 7.32143- 3 5.48730- 4 1.40000+ 1 4.10000+ 1 2.09937- 3 5.63210- 4 1.40000+ 1 4.30000+ 1 6.66295- 4 5.72300- 4 1.40000+ 1 4.40000+ 1 6.60190- 4 5.74550- 4 1.60000+ 1 1.60000+ 1 3.15758- 4 1.32004- 3 1.60000+ 1 1.80000+ 1 6.60524- 4 1.44404- 3 1.60000+ 1 1.90000+ 1 1.27651- 2 1.57431- 3 1.60000+ 1 2.10000+ 1 7.57913- 4 1.77852- 3 1.60000+ 1 2.20000+ 1 9.18227- 4 1.80286- 3 1.60000+ 1 2.40000+ 1 1.80947- 3 2.06960- 3 1.60000+ 1 2.50000+ 1 3.18652- 3 2.07530- 3 1.60000+ 1 2.70000+ 1 1.06233- 4 2.07661- 3 1.60000+ 1 2.90000+ 1 9.14802- 5 2.12035- 3 1.60000+ 1 3.00000+ 1 1.56645- 3 2.14601- 3 1.60000+ 1 3.20000+ 1 8.36094- 5 2.20810- 3 1.60000+ 1 3.30000+ 1 9.59047- 5 2.21130- 3 1.60000+ 1 4.10000+ 1 1.27876- 5 2.22578- 3 1.60000+ 1 4.30000+ 1 3.44257- 6 2.23487- 3 1.60000+ 1 4.40000+ 1 5.06566- 5 2.23712- 3 1.80000+ 1 1.80000+ 1 2.40978- 5 1.56804- 3 1.80000+ 1 1.90000+ 1 1.57844- 2 1.69831- 3 1.80000+ 1 2.10000+ 1 3.41813- 4 1.90252- 3 1.80000+ 1 2.20000+ 1 3.33654- 3 1.92686- 3 1.80000+ 1 2.40000+ 1 1.68056- 3 2.19360- 3 1.80000+ 1 2.50000+ 1 9.08894- 3 2.19930- 3 1.80000+ 1 2.70000+ 1 1.02299- 4 2.20061- 3 1.80000+ 1 2.90000+ 1 6.39379- 6 2.24435- 3 1.80000+ 1 3.00000+ 1 1.97810- 3 2.27001- 3 1.80000+ 1 3.20000+ 1 4.08200- 5 2.33210- 3 1.80000+ 1 3.30000+ 1 3.32969- 4 2.33530- 3 1.80000+ 1 4.10000+ 1 1.22956- 5 2.34978- 3 1.80000+ 1 4.30000+ 1 4.91818- 7 2.35887- 3 1.80000+ 1 4.40000+ 1 6.44287- 5 2.36112- 3 1.90000+ 1 1.90000+ 1 2.06998- 2 1.82858- 3 1.90000+ 1 2.10000+ 1 3.03036- 2 2.03279- 3 1.90000+ 1 2.20000+ 1 3.95788- 2 2.05713- 3 1.90000+ 1 2.40000+ 1 2.64405- 2 2.32387- 3 1.90000+ 1 2.50000+ 1 3.02624- 2 2.32957- 3 1.90000+ 1 2.70000+ 1 2.70782- 3 2.33088- 3 1.90000+ 1 2.90000+ 1 3.01275- 3 2.37462- 3 1.90000+ 1 3.00000+ 1 6.43627- 3 2.40028- 3 1.90000+ 1 3.20000+ 1 3.68425- 3 2.46237- 3 1.90000+ 1 3.30000+ 1 4.72932- 3 2.46557- 3 1.90000+ 1 4.10000+ 1 3.43760- 4 2.48005- 3 1.90000+ 1 4.30000+ 1 1.24919- 4 2.48914- 3 1.90000+ 1 4.40000+ 1 2.16407- 4 2.49139- 3 2.10000+ 1 2.10000+ 1 1.99687- 4 2.23700- 3 2.10000+ 1 2.20000+ 1 4.80179- 3 2.26134- 3 2.10000+ 1 2.40000+ 1 7.18067- 4 2.52808- 3 2.10000+ 1 2.50000+ 1 8.37421- 3 2.53378- 3 2.10000+ 1 2.70000+ 1 9.19710- 5 2.53509- 3 2.10000+ 1 2.90000+ 1 2.45907- 5 2.57883- 3 2.10000+ 1 3.00000+ 1 3.72755- 3 2.60449- 3 2.10000+ 1 3.20000+ 1 3.98399- 5 2.66658- 3 2.10000+ 1 3.30000+ 1 5.07563- 4 2.66978- 3 2.10000+ 1 4.10000+ 1 1.08202- 5 2.68426- 3 2.10000+ 1 4.30000+ 1 9.83632- 7 2.69335- 3 2.10000+ 1 4.40000+ 1 1.20986- 4 2.69560- 3 2.20000+ 1 2.20000+ 1 2.11090- 3 2.28568- 3 2.20000+ 1 2.40000+ 1 6.78612- 3 2.55242- 3 2.20000+ 1 2.50000+ 1 5.66279- 3 2.55812- 3 2.20000+ 1 2.70000+ 1 1.15578- 4 2.55943- 3 2.20000+ 1 2.90000+ 1 3.29505- 4 2.60317- 3 2.20000+ 1 3.00000+ 1 4.80919- 3 2.62883- 3 2.20000+ 1 3.20000+ 1 5.12979- 4 2.69092- 3 2.20000+ 1 3.30000+ 1 4.48041- 4 2.69412- 3 2.20000+ 1 4.10000+ 1 1.37710- 5 2.70860- 3 2.20000+ 1 4.30000+ 1 1.22955- 5 2.71769- 3 2.20000+ 1 4.40000+ 1 1.55908- 4 2.71994- 3 2.40000+ 1 2.40000+ 1 1.07215- 3 2.81916- 3 2.40000+ 1 2.50000+ 1 2.81484- 2 2.82486- 3 2.40000+ 1 2.70000+ 1 1.98688- 4 2.82617- 3 2.40000+ 1 2.90000+ 1 2.66071- 4 2.86991- 3 2.40000+ 1 3.00000+ 1 3.09592- 3 2.89557- 3 2.40000+ 1 3.20000+ 1 1.00823- 4 2.95766- 3 2.40000+ 1 3.30000+ 1 7.65277- 4 2.96086- 3 2.40000+ 1 4.10000+ 1 2.31137- 5 2.97534- 3 2.40000+ 1 4.30000+ 1 1.08201- 5 2.98443- 3 2.40000+ 1 4.40000+ 1 9.98389- 5 2.98668- 3 2.50000+ 1 2.50000+ 1 1.11371- 2 2.83056- 3 2.50000+ 1 2.70000+ 1 3.05922- 4 2.83187- 3 2.50000+ 1 2.90000+ 1 1.42581- 3 2.87561- 3 2.50000+ 1 3.00000+ 1 3.68204- 3 2.90127- 3 2.50000+ 1 3.20000+ 1 1.01070- 3 2.96336- 3 2.50000+ 1 3.30000+ 1 6.91514- 4 2.96656- 3 2.50000+ 1 4.10000+ 1 3.44262- 5 2.98104- 3 2.50000+ 1 4.30000+ 1 5.75464- 5 2.99013- 3 2.50000+ 1 4.40000+ 1 1.20006- 4 2.99238- 3 2.70000+ 1 2.70000+ 1 1.17489- 5 2.83318- 3 2.70000+ 1 2.90000+ 1 1.76233- 5 2.87692- 3 2.70000+ 1 3.00000+ 1 3.97710- 4 2.90258- 3 2.70000+ 1 3.20000+ 1 1.29241- 5 2.96467- 3 2.70000+ 1 3.30000+ 1 1.46863- 5 2.96787- 3 2.70000+ 1 4.10000+ 1 2.93721- 6 2.98235- 3 2.70000+ 1 4.30000+ 1 5.87445- 7 2.99144- 3 2.70000+ 1 4.40000+ 1 1.29241- 5 2.99369- 3 2.90000+ 1 2.90000+ 1 5.69044- 7 2.92066- 3 2.90000+ 1 3.00000+ 1 4.38734- 4 2.94632- 3 2.90000+ 1 3.20000+ 1 2.84520- 6 3.00841- 3 2.90000+ 1 3.30000+ 1 3.98313- 5 3.01161- 3 2.90000+ 1 4.10000+ 1 2.27626- 6 3.02609- 3 2.90000+ 1 4.40000+ 1 1.42263- 5 3.03743- 3 3.00000+ 1 3.00000+ 1 6.43911- 4 2.97198- 3 3.00000+ 1 3.20000+ 1 6.13374- 4 3.03407- 3 3.00000+ 1 3.30000+ 1 7.77174- 4 3.03727- 3 3.00000+ 1 4.10000+ 1 5.70281- 5 3.05175- 3 3.00000+ 1 4.30000+ 1 2.12196- 5 3.06084- 3 3.00000+ 1 4.40000+ 1 4.31004- 5 3.06309- 3 3.20000+ 1 3.20000+ 1 1.96735- 6 3.09616- 3 3.20000+ 1 3.30000+ 1 5.75459- 5 3.09936- 3 3.20000+ 1 4.10000+ 1 1.47546- 6 3.11384- 3 3.20000+ 1 4.40000+ 1 1.47546- 5 3.12518- 3 3.30000+ 1 3.30000+ 1 2.68607- 5 3.10256- 3 3.30000+ 1 4.10000+ 1 1.61165- 6 3.11704- 3 3.30000+ 1 4.30000+ 1 1.61165- 6 3.12613- 3 3.30000+ 1 4.40000+ 1 2.04142- 5 3.12838- 3 4.10000+ 1 4.40000+ 1 1.20180- 6 3.14286- 3 4.30000+ 1 4.40000+ 1 4.91822- 7 3.15195- 3 4.40000+ 1 4.40000+ 1 4.91822- 7 3.15420- 3 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.02959- 3 1.89857- 3 1.90000+ 1 2.01549- 4 2.02884- 3 2.40000+ 1 3.48728- 2 2.52413- 3 2.90000+ 1 4.98248- 4 2.57488- 3 3.00000+ 1 4.97658- 5 2.60054- 3 4.30000+ 1 1.39629- 5 2.68940- 3 4.40000+ 1 1.18269- 6 2.69165- 3 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.00000+ 1 7.52022- 3 1.45400- 5 1.40000+ 1 3.20000+ 1 4.55644- 2 7.66300- 5 1.40000+ 1 3.30000+ 1 6.39070- 3 7.98300- 5 1.40000+ 1 4.10000+ 1 7.32311- 4 9.43100- 5 1.40000+ 1 4.30000+ 1 1.47289- 4 1.03400- 4 1.40000+ 1 4.40000+ 1 2.72795- 4 1.05650- 4 1.60000+ 1 1.60000+ 1 2.38570- 5 8.51140- 4 1.60000+ 1 1.80000+ 1 1.13580- 3 9.75140- 4 1.60000+ 1 1.90000+ 1 8.89966- 4 1.10541- 3 1.60000+ 1 2.10000+ 1 3.36889- 2 1.30962- 3 1.60000+ 1 2.20000+ 1 3.88248- 3 1.33396- 3 1.60000+ 1 2.40000+ 1 1.55442- 2 1.60070- 3 1.60000+ 1 2.50000+ 1 4.16262- 3 1.60640- 3 1.60000+ 1 2.70000+ 1 1.97077- 5 1.60771- 3 1.60000+ 1 2.90000+ 1 1.76338- 4 1.65145- 3 1.60000+ 1 3.00000+ 1 1.10982- 4 1.67711- 3 1.60000+ 1 3.20000+ 1 2.94578- 3 1.73920- 3 1.60000+ 1 3.30000+ 1 3.49552- 4 1.74240- 3 1.60000+ 1 4.10000+ 1 2.07449- 6 1.75688- 3 1.60000+ 1 4.30000+ 1 7.26062- 6 1.76597- 3 1.60000+ 1 4.40000+ 1 4.14888- 6 1.76822- 3 1.80000+ 1 1.80000+ 1 6.57643- 4 1.09914- 3 1.80000+ 1 1.90000+ 1 4.40437- 3 1.22941- 3 1.80000+ 1 2.10000+ 1 3.02276- 2 1.43362- 3 1.80000+ 1 2.20000+ 1 2.07561- 3 1.45796- 3 1.80000+ 1 2.40000+ 1 1.02859- 2 1.72470- 3 1.80000+ 1 2.50000+ 1 5.17401- 3 1.73040- 3 1.80000+ 1 2.70000+ 1 1.54547- 4 1.73171- 3 1.80000+ 1 2.90000+ 1 2.03300- 4 1.77545- 3 1.80000+ 1 3.00000+ 1 6.13043- 4 1.80111- 3 1.80000+ 1 3.20000+ 1 2.62534- 3 1.86320- 3 1.80000+ 1 3.30000+ 1 2.13673- 4 1.86640- 3 1.80000+ 1 4.10000+ 1 1.86704- 5 1.88088- 3 1.80000+ 1 4.30000+ 1 8.29832- 6 1.88997- 3 1.80000+ 1 4.40000+ 1 1.97078- 5 1.89222- 3 1.90000+ 1 1.90000+ 1 1.55592- 3 1.35968- 3 1.90000+ 1 2.10000+ 1 6.03586- 2 1.56389- 3 1.90000+ 1 2.20000+ 1 2.29024- 3 1.58823- 3 1.90000+ 1 2.40000+ 1 3.12530- 3 1.85497- 3 1.90000+ 1 2.50000+ 1 2.06515- 3 1.86067- 3 1.90000+ 1 2.70000+ 1 1.45219- 4 1.86198- 3 1.90000+ 1 2.90000+ 1 5.43506- 4 1.90572- 3 1.90000+ 1 3.00000+ 1 4.14890- 4 1.93138- 3 1.90000+ 1 3.20000+ 1 5.29826- 3 1.99347- 3 1.90000+ 1 3.30000+ 1 2.14718- 4 1.99667- 3 1.90000+ 1 4.10000+ 1 1.76339- 5 2.01115- 3 1.90000+ 1 4.30000+ 1 2.07451- 5 2.02024- 3 1.90000+ 1 4.40000+ 1 1.34845- 5 2.02249- 3 2.10000+ 1 2.10000+ 1 5.44386- 2 1.76810- 3 2.10000+ 1 2.20000+ 1 1.07858- 1 1.79244- 3 2.10000+ 1 2.40000+ 1 5.91734- 2 2.05918- 3 2.10000+ 1 2.50000+ 1 7.13678- 2 2.06488- 3 2.10000+ 1 2.70000+ 1 6.58145- 3 2.06619- 3 2.10000+ 1 2.90000+ 1 5.82017- 3 2.10993- 3 2.10000+ 1 3.00000+ 1 1.10018- 2 2.13559- 3 2.10000+ 1 3.20000+ 1 1.14817- 2 2.19768- 3 2.10000+ 1 3.30000+ 1 1.27401- 2 2.20088- 3 2.10000+ 1 4.10000+ 1 8.27738- 4 2.21536- 3 2.10000+ 1 4.30000+ 1 2.41679- 4 2.22445- 3 2.10000+ 1 4.40000+ 1 3.76526- 4 2.22670- 3 2.20000+ 1 2.20000+ 1 1.71868- 3 1.81678- 3 2.20000+ 1 2.40000+ 1 6.69190- 2 2.08352- 3 2.20000+ 1 2.50000+ 1 3.33993- 3 2.08922- 3 2.20000+ 1 2.70000+ 1 4.06626- 4 2.09053- 3 2.20000+ 1 2.90000+ 1 2.47908- 4 2.13427- 3 2.20000+ 1 3.00000+ 1 3.37119- 4 2.15993- 3 2.20000+ 1 3.20000+ 1 9.51583- 3 2.22202- 3 2.20000+ 1 3.30000+ 1 3.36073- 4 2.22522- 3 2.20000+ 1 4.10000+ 1 4.66777- 5 2.23970- 3 2.20000+ 1 4.30000+ 1 9.33544- 6 2.24879- 3 2.20000+ 1 4.40000+ 1 1.14108- 5 2.25104- 3 2.40000+ 1 2.40000+ 1 6.33675- 2 2.35026- 3 2.40000+ 1 2.50000+ 1 1.83071- 1 2.35596- 3 2.40000+ 1 2.70000+ 1 3.19999- 3 2.35727- 3 2.40000+ 1 2.90000+ 1 1.63060- 3 2.40101- 3 2.40000+ 1 3.00000+ 1 5.86059- 4 2.42667- 3 2.40000+ 1 3.20000+ 1 5.61350- 3 2.48876- 3 2.40000+ 1 3.30000+ 1 7.54814- 3 2.49196- 3 2.40000+ 1 4.10000+ 1 4.04530- 4 2.50644- 3 2.40000+ 1 4.30000+ 1 6.63861- 5 2.51553- 3 2.40000+ 1 4.40000+ 1 2.07452- 5 2.51778- 3 2.50000+ 1 2.50000+ 1 3.58400- 3 2.36166- 3 2.50000+ 1 2.70000+ 1 5.69567- 4 2.36297- 3 2.50000+ 1 2.90000+ 1 4.08771- 4 2.40671- 3 2.50000+ 1 3.00000+ 1 3.20619- 4 2.43237- 3 2.50000+ 1 3.20000+ 1 5.41873- 3 2.49446- 3 2.50000+ 1 3.30000+ 1 3.30305- 4 2.49766- 3 2.50000+ 1 4.10000+ 1 6.78033- 5 2.51214- 3 2.50000+ 1 4.30000+ 1 1.54986- 5 2.52123- 3 2.50000+ 1 4.40000+ 1 1.06560- 5 2.52348- 3 2.70000+ 1 2.70000+ 1 2.26194- 6 2.36428- 3 2.70000+ 1 2.90000+ 1 2.82748- 5 2.40802- 3 2.70000+ 1 3.00000+ 1 2.03573- 5 2.43368- 3 2.70000+ 1 3.20000+ 1 6.32222- 4 2.49577- 3 2.70000+ 1 3.30000+ 1 4.41078- 5 2.49897- 3 2.70000+ 1 4.10000+ 1 1.13098- 6 2.51345- 3 2.70000+ 1 4.30000+ 1 1.13098- 6 2.52254- 3 2.70000+ 1 4.40000+ 1 1.13098- 6 2.52479- 3 2.90000+ 1 2.90000+ 1 2.22059- 5 2.45176- 3 2.90000+ 1 3.00000+ 1 1.08250- 4 2.47742- 3 2.90000+ 1 3.20000+ 1 6.78645- 4 2.53951- 3 2.90000+ 1 3.30000+ 1 3.74707- 5 2.54271- 3 2.90000+ 1 4.10000+ 1 4.16347- 6 2.55719- 3 2.90000+ 1 4.30000+ 1 1.38783- 6 2.56628- 3 2.90000+ 1 4.40000+ 1 4.16347- 6 2.56853- 3 3.00000+ 1 3.00000+ 1 4.26040- 5 2.50308- 3 3.00000+ 1 3.20000+ 1 1.42425- 3 2.56517- 3 3.00000+ 1 3.30000+ 1 4.86924- 5 2.56837- 3 3.00000+ 1 4.10000+ 1 3.04316- 6 2.58285- 3 3.00000+ 1 4.30000+ 1 4.56475- 6 2.59194- 3 3.00000+ 1 4.40000+ 1 3.04316- 6 2.59419- 3 3.20000+ 1 3.20000+ 1 5.87089- 4 2.62726- 3 3.20000+ 1 3.30000+ 1 1.12956- 3 2.63046- 3 3.20000+ 1 4.10000+ 1 7.26079- 5 2.64494- 3 3.20000+ 1 4.30000+ 1 2.07454- 5 2.65403- 3 3.20000+ 1 4.40000+ 1 3.31939- 5 2.65628- 3 3.30000+ 1 3.30000+ 1 2.03987- 5 2.63366- 3 3.30000+ 1 4.10000+ 1 5.09937- 6 2.64814- 3 3.30000+ 1 4.30000+ 1 1.27488- 6 2.65723- 3 3.30000+ 1 4.40000+ 1 1.27488- 6 2.65948- 3 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.52409- 3 1.91684- 3 2.40000+ 1 1.72439- 3 2.41213- 3 2.50000+ 1 3.36987- 2 2.41783- 3 3.00000+ 1 3.66307- 4 2.48854- 3 4.40000+ 1 8.75463- 6 2.57965- 3 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.80000+ 1 2.52425- 4 8.63140- 4 1.60000+ 1 1.90000+ 1 2.01201- 3 9.93410- 4 1.60000+ 1 2.10000+ 1 3.39666- 3 1.19762- 3 1.60000+ 1 2.20000+ 1 3.67964- 2 1.22196- 3 1.60000+ 1 2.40000+ 1 4.35380- 3 1.48870- 3 1.60000+ 1 2.50000+ 1 1.64618- 2 1.49440- 3 1.60000+ 1 2.70000+ 1 1.15212- 5 1.49571- 3 1.60000+ 1 2.90000+ 1 1.57109- 5 1.53945- 3 1.60000+ 1 3.00000+ 1 2.59756- 4 1.56511- 3 1.60000+ 1 3.20000+ 1 2.92216- 4 1.62720- 3 1.60000+ 1 3.30000+ 1 3.15261- 3 1.63040- 3 1.60000+ 1 4.10000+ 1 2.09476- 6 1.64488- 3 1.60000+ 1 4.30000+ 1 1.04733- 6 1.65397- 3 1.60000+ 1 4.40000+ 1 8.37920- 6 1.65622- 3 1.80000+ 1 1.90000+ 1 5.50186- 3 1.11741- 3 1.80000+ 1 2.10000+ 1 2.73360- 4 1.32162- 3 1.80000+ 1 2.20000+ 1 3.80394- 2 1.34596- 3 1.80000+ 1 2.40000+ 1 2.22871- 3 1.61270- 3 1.80000+ 1 2.50000+ 1 8.95062- 3 1.61840- 3 1.80000+ 1 2.70000+ 1 3.35152- 5 1.61971- 3 1.80000+ 1 2.90000+ 1 1.04732- 6 1.66345- 3 1.80000+ 1 3.00000+ 1 7.09081- 4 1.68911- 3 1.80000+ 1 3.20000+ 1 8.37908- 6 1.75120- 3 1.80000+ 1 3.30000+ 1 3.25626- 3 1.75440- 3 1.80000+ 1 4.10000+ 1 4.18924- 6 1.76888- 3 1.80000+ 1 4.40000+ 1 2.30421- 5 1.78022- 3 1.90000+ 1 1.90000+ 1 3.71496- 3 1.24768- 3 1.90000+ 1 2.10000+ 1 3.51076- 3 1.45189- 3 1.90000+ 1 2.20000+ 1 5.69588- 2 1.47623- 3 1.90000+ 1 2.40000+ 1 2.31673- 3 1.74297- 3 1.90000+ 1 2.50000+ 1 4.36636- 3 1.74867- 3 1.90000+ 1 2.70000+ 1 3.40398- 4 1.74998- 3 1.90000+ 1 2.90000+ 1 6.49378- 4 1.79372- 3 1.90000+ 1 3.00000+ 1 9.87679- 4 1.81938- 3 1.90000+ 1 3.20000+ 1 3.69719- 4 1.88147- 3 1.90000+ 1 3.30000+ 1 4.86409- 3 1.88467- 3 1.90000+ 1 4.10000+ 1 4.18926- 5 1.89915- 3 1.90000+ 1 4.30000+ 1 2.51370- 5 1.90824- 3 1.90000+ 1 4.40000+ 1 3.24684- 5 1.91049- 3 2.10000+ 1 2.10000+ 1 7.62453- 4 1.65610- 3 2.10000+ 1 2.20000+ 1 7.91585- 2 1.68044- 3 2.10000+ 1 2.40000+ 1 2.97345- 3 1.94718- 3 2.10000+ 1 2.50000+ 1 4.08611- 2 1.95288- 3 2.10000+ 1 2.70000+ 1 3.36192- 4 1.95419- 3 2.10000+ 1 2.90000+ 1 5.96984- 5 1.99793- 3 2.10000+ 1 3.00000+ 1 4.69201- 4 2.02359- 3 2.10000+ 1 3.20000+ 1 1.47679- 4 2.08568- 3 2.10000+ 1 3.30000+ 1 6.83508- 3 2.08888- 3 2.10000+ 1 4.10000+ 1 3.77055- 5 2.10336- 3 2.10000+ 1 4.30000+ 1 2.09471- 6 2.11245- 3 2.10000+ 1 4.40000+ 1 1.57105- 5 2.11470- 3 2.20000+ 1 2.20000+ 1 8.83421- 2 1.70478- 3 2.20000+ 1 2.40000+ 1 6.50006- 2 1.97152- 3 2.20000+ 1 2.50000+ 1 1.03512- 1 1.97722- 3 2.20000+ 1 2.70000+ 1 6.89916- 3 1.97853- 3 2.20000+ 1 2.90000+ 1 6.99860- 3 2.02227- 3 2.20000+ 1 3.00000+ 1 1.04744- 2 2.04793- 3 2.20000+ 1 3.20000+ 1 9.50201- 3 2.11002- 3 2.20000+ 1 3.30000+ 1 1.80581- 2 2.11322- 3 2.20000+ 1 4.10000+ 1 8.63049- 4 2.12770- 3 2.20000+ 1 4.30000+ 1 2.88028- 4 2.13679- 3 2.20000+ 1 4.40000+ 1 3.59257- 4 2.13904- 3 2.40000+ 1 2.40000+ 1 5.18359- 3 2.23826- 3 2.40000+ 1 2.50000+ 1 1.65333- 1 2.24396- 3 2.40000+ 1 2.70000+ 1 6.92295- 4 2.24527- 3 2.40000+ 1 2.90000+ 1 3.81245- 4 2.28901- 3 2.40000+ 1 3.00000+ 1 3.55063- 4 2.31467- 3 2.40000+ 1 3.20000+ 1 3.46680- 4 2.37676- 3 2.40000+ 1 3.30000+ 1 5.31530- 3 2.37996- 3 2.40000+ 1 4.10000+ 1 8.37921- 5 2.39444- 3 2.40000+ 1 4.30000+ 1 1.57109- 5 2.40353- 3 2.40000+ 1 4.40000+ 1 1.15212- 5 2.40578- 3 2.50000+ 1 2.50000+ 1 1.13095- 1 2.24966- 3 2.50000+ 1 2.70000+ 1 3.31498- 3 2.25097- 3 2.50000+ 1 2.90000+ 1 1.67367- 3 2.29471- 3 2.50000+ 1 3.00000+ 1 7.71897- 4 2.32037- 3 2.50000+ 1 3.20000+ 1 4.60931- 3 2.38246- 3 2.50000+ 1 3.30000+ 1 9.85084- 3 2.38566- 3 2.50000+ 1 4.10000+ 1 4.17891- 4 2.40014- 3 2.50000+ 1 4.30000+ 1 6.91252- 5 2.40923- 3 2.50000+ 1 4.40000+ 1 2.61838- 5 2.41148- 3 2.70000+ 1 2.70000+ 1 1.28704- 6 2.25228- 3 2.70000+ 1 2.90000+ 1 2.57419- 6 2.29602- 3 2.70000+ 1 3.00000+ 1 5.66336- 5 2.32168- 3 2.70000+ 1 3.20000+ 1 3.99000- 5 2.38377- 3 2.70000+ 1 3.30000+ 1 7.31071- 4 2.38697- 3 2.70000+ 1 4.40000+ 1 1.28704- 6 2.41279- 3 2.90000+ 1 3.00000+ 1 1.05695- 4 2.36542- 3 2.90000+ 1 3.20000+ 1 3.73040- 6 2.42751- 3 2.90000+ 1 3.30000+ 1 7.21208- 4 2.43071- 3 2.90000+ 1 4.40000+ 1 3.73040- 6 2.45653- 3 3.00000+ 1 3.00000+ 1 9.21318- 5 2.39108- 3 3.00000+ 1 3.20000+ 1 7.19758- 5 2.45317- 3 3.00000+ 1 3.30000+ 1 1.23371- 3 2.45637- 3 3.00000+ 1 4.10000+ 1 7.19758- 6 2.47085- 3 3.00000+ 1 4.30000+ 1 4.31860- 6 2.47994- 3 3.00000+ 1 4.40000+ 1 5.75794- 6 2.48219- 3 3.20000+ 1 3.20000+ 1 7.33141- 6 2.51526- 3 3.20000+ 1 3.30000+ 1 8.25318- 4 2.51846- 3 3.20000+ 1 4.10000+ 1 4.18926- 6 2.53294- 3 3.20000+ 1 4.40000+ 1 2.09473- 6 2.54428- 3 3.30000+ 1 3.30000+ 1 8.98620- 4 2.52166- 3 3.30000+ 1 4.10000+ 1 7.43623- 5 2.53614- 3 3.30000+ 1 4.30000+ 1 2.51364- 5 2.54523- 3 3.30000+ 1 4.40000+ 1 3.03729- 5 2.54748- 3 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.78548- 5 1.24000- 4 1.90000+ 1 3.26674- 4 2.54270- 4 2.90000+ 1 2.11632- 4 8.00310- 4 3.00000+ 1 7.83378- 5 8.25970- 4 4.30000+ 1 1.13017- 5 9.14830- 4 4.40000+ 1 3.97585- 6 9.17080- 4 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.90000+ 1 2.78560- 2 8.80000- 7 1.80000+ 1 3.00000+ 1 5.01366- 2 2.65400- 5 1.80000+ 1 3.20000+ 1 3.78718- 2 8.86300- 5 1.80000+ 1 3.30000+ 1 6.09700- 2 9.18300- 5 1.80000+ 1 4.10000+ 1 4.12099- 3 1.06310- 4 1.80000+ 1 4.30000+ 1 1.20016- 3 1.15400- 4 1.80000+ 1 4.40000+ 1 1.63451- 3 1.17650- 4 1.90000+ 1 2.40000+ 1 5.39389- 2 8.04000- 5 1.90000+ 1 2.50000+ 1 7.93551- 2 8.61000- 5 1.90000+ 1 2.70000+ 1 4.04029- 2 8.74100- 5 1.90000+ 1 2.90000+ 1 4.72275- 2 1.31150- 4 1.90000+ 1 3.00000+ 1 4.81173- 2 1.56810- 4 1.90000+ 1 3.20000+ 1 3.93141- 2 2.18900- 4 1.90000+ 1 3.30000+ 1 4.79469- 2 2.22100- 4 1.90000+ 1 4.10000+ 1 5.03208- 3 2.36580- 4 1.90000+ 1 4.30000+ 1 1.83619- 3 2.45670- 4 1.90000+ 1 4.40000+ 1 1.62924- 3 2.47920- 4 2.10000+ 1 2.10000+ 1 3.73446- 3 0.00000+ 0 2.10000+ 1 2.20000+ 1 3.08647- 3 1.78700- 5 2.10000+ 1 2.40000+ 1 4.30760- 3 2.84610- 4 2.10000+ 1 2.50000+ 1 7.18522- 3 2.90310- 4 2.10000+ 1 2.70000+ 1 1.67411- 2 2.91620- 4 2.10000+ 1 2.90000+ 1 5.19664- 3 3.35360- 4 2.10000+ 1 3.00000+ 1 7.34868- 3 3.61020- 4 2.10000+ 1 3.20000+ 1 1.73433- 3 4.23110- 4 2.10000+ 1 3.30000+ 1 1.79300- 3 4.26310- 4 2.10000+ 1 4.10000+ 1 1.60178- 3 4.40790- 4 2.10000+ 1 4.30000+ 1 2.06966- 4 4.49880- 4 2.10000+ 1 4.40000+ 1 2.14770- 4 4.52130- 4 2.20000+ 1 2.20000+ 1 5.02947- 3 4.22100- 5 2.20000+ 1 2.40000+ 1 8.30679- 3 3.08950- 4 2.20000+ 1 2.50000+ 1 8.54626- 3 3.14650- 4 2.20000+ 1 2.70000+ 1 2.37041- 2 3.15960- 4 2.20000+ 1 2.90000+ 1 9.40757- 3 3.59700- 4 2.20000+ 1 3.00000+ 1 7.99941- 3 3.85360- 4 2.20000+ 1 3.20000+ 1 1.52019- 3 4.47450- 4 2.20000+ 1 3.30000+ 1 2.52822- 3 4.50650- 4 2.20000+ 1 4.10000+ 1 2.25779- 3 4.65130- 4 2.20000+ 1 4.30000+ 1 3.32585- 4 4.74220- 4 2.20000+ 1 4.40000+ 1 2.54660- 4 4.76470- 4 2.40000+ 1 2.40000+ 1 9.21737- 3 5.75690- 4 2.40000+ 1 2.50000+ 1 1.82851- 2 5.81390- 4 2.40000+ 1 2.70000+ 1 2.09572- 2 5.82700- 4 2.40000+ 1 2.90000+ 1 2.83716- 3 6.26440- 4 2.40000+ 1 3.00000+ 1 1.00053- 2 6.52100- 4 2.40000+ 1 3.20000+ 1 8.76598- 4 7.14190- 4 2.40000+ 1 3.30000+ 1 5.75514- 4 7.17390- 4 2.40000+ 1 4.10000+ 1 1.77521- 3 7.31870- 4 2.40000+ 1 4.30000+ 1 9.53560- 5 7.40960- 4 2.40000+ 1 4.40000+ 1 2.87250- 4 7.43210- 4 2.50000+ 1 2.50000+ 1 1.52262- 2 5.87090- 4 2.50000+ 1 2.70000+ 1 2.71026- 2 5.88400- 4 2.50000+ 1 2.90000+ 1 1.50139- 3 6.32140- 4 2.50000+ 1 3.00000+ 1 1.13066- 2 6.57800- 4 2.50000+ 1 3.20000+ 1 5.28315- 4 7.19890- 4 2.50000+ 1 3.30000+ 1 1.26567- 3 7.23090- 4 2.50000+ 1 4.10000+ 1 2.28919- 3 7.37570- 4 2.50000+ 1 4.30000+ 1 4.93240- 5 7.46660- 4 2.50000+ 1 4.40000+ 1 3.15749- 4 7.48910- 4 2.70000+ 1 2.70000+ 1 1.64429- 2 5.89710- 4 2.70000+ 1 2.90000+ 1 2.32125- 2 6.33450- 4 2.70000+ 1 3.00000+ 1 3.68915- 2 6.59110- 4 2.70000+ 1 3.20000+ 1 2.87315- 2 7.21200- 4 2.70000+ 1 3.30000+ 1 3.93550- 2 7.24400- 4 2.70000+ 1 4.10000+ 1 3.53660- 3 7.38880- 4 2.70000+ 1 4.30000+ 1 9.65888- 4 7.47970- 4 2.70000+ 1 4.40000+ 1 1.26429- 3 7.50220- 4 2.90000+ 1 2.90000+ 1 2.17901- 3 6.77190- 4 2.90000+ 1 3.00000+ 1 9.11990- 3 7.02850- 4 2.90000+ 1 3.20000+ 1 3.15030- 3 7.64940- 4 2.90000+ 1 3.30000+ 1 2.51483- 3 7.68140- 4 2.90000+ 1 4.10000+ 1 2.35748- 3 7.82620- 4 2.90000+ 1 4.30000+ 1 1.54874- 4 7.91710- 4 2.90000+ 1 4.40000+ 1 2.54623- 4 7.93960- 4 3.00000+ 1 3.00000+ 1 5.97112- 3 7.28510- 4 3.00000+ 1 3.20000+ 1 2.80509- 3 7.90600- 4 3.00000+ 1 3.30000+ 1 5.40057- 3 7.93800- 4 3.00000+ 1 4.10000+ 1 3.70391- 3 8.08280- 4 3.00000+ 1 4.30000+ 1 3.28228- 4 8.17370- 4 3.00000+ 1 4.40000+ 1 3.66096- 4 8.19620- 4 3.20000+ 1 3.20000+ 1 8.43018- 4 8.52690- 4 3.20000+ 1 3.30000+ 1 2.53230- 3 8.55890- 4 3.20000+ 1 4.10000+ 1 3.57568- 3 8.70370- 4 3.20000+ 1 4.30000+ 1 1.33606- 4 8.79460- 4 3.20000+ 1 4.40000+ 1 8.58925- 5 8.81710- 4 3.30000+ 1 3.30000+ 1 1.65477- 3 8.59090- 4 3.30000+ 1 4.10000+ 1 4.87555- 3 8.73570- 4 3.30000+ 1 4.30000+ 1 9.51023- 5 8.82660- 4 3.30000+ 1 4.40000+ 1 1.90184- 4 8.84910- 4 4.10000+ 1 4.10000+ 1 2.49308- 4 8.88050- 4 4.10000+ 1 4.30000+ 1 1.13877- 4 8.97140- 4 4.10000+ 1 4.40000+ 1 1.53885- 4 8.99390- 4 4.30000+ 1 4.40000+ 1 1.23100- 5 9.08480- 4 4.40000+ 1 4.40000+ 1 3.07770- 6 9.10730- 4 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 9.38972- 4 3.34480- 4 2.70000+ 1 2.11249- 4 6.32570- 4 3.20000+ 1 4.26803- 5 7.64060- 4 4.10000+ 1 3.00349- 5 7.81740- 4 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 1.50133- 2 7.15000- 6 1.90000+ 1 3.00000+ 1 2.31496- 2 3.28100- 5 1.90000+ 1 3.20000+ 1 7.18705- 3 9.49000- 5 1.90000+ 1 3.30000+ 1 1.12201- 2 9.81000- 5 1.90000+ 1 4.10000+ 1 1.68901- 3 1.12580- 4 1.90000+ 1 4.30000+ 1 6.24993- 4 1.21670- 4 1.90000+ 1 4.40000+ 1 5.88352- 4 1.23920- 4 2.10000+ 1 2.40000+ 1 1.30061- 1 1.60610- 4 2.10000+ 1 2.50000+ 1 2.90987- 1 1.66310- 4 2.10000+ 1 2.70000+ 1 3.84418- 2 1.67620- 4 2.10000+ 1 2.90000+ 1 3.01956- 2 2.11360- 4 2.10000+ 1 3.00000+ 1 4.24472- 2 2.37020- 4 2.10000+ 1 3.20000+ 1 2.05999- 2 2.99110- 4 2.10000+ 1 3.30000+ 1 3.32046- 2 3.02310- 4 2.10000+ 1 4.10000+ 1 4.86784- 3 3.16790- 4 2.10000+ 1 4.30000+ 1 1.17727- 3 3.25880- 4 2.10000+ 1 4.40000+ 1 1.43275- 3 3.28130- 4 2.20000+ 1 2.40000+ 1 4.36165- 2 1.84950- 4 2.20000+ 1 2.50000+ 1 1.11676- 2 1.90650- 4 2.20000+ 1 2.70000+ 1 6.17281- 3 1.91960- 4 2.20000+ 1 2.90000+ 1 2.54517- 2 2.35700- 4 2.20000+ 1 3.00000+ 1 5.45047- 3 2.61360- 4 2.20000+ 1 3.20000+ 1 2.40369- 3 3.23450- 4 2.20000+ 1 3.30000+ 1 2.23781- 3 3.26650- 4 2.20000+ 1 4.10000+ 1 6.06083- 4 3.41130- 4 2.20000+ 1 4.30000+ 1 7.66925- 4 3.50220- 4 2.20000+ 1 4.40000+ 1 1.56225- 4 3.52470- 4 2.40000+ 1 2.40000+ 1 2.59329- 3 4.51690- 4 2.40000+ 1 2.50000+ 1 1.63872- 2 4.57390- 4 2.40000+ 1 2.70000+ 1 4.70206- 3 4.58700- 4 2.40000+ 1 2.90000+ 1 1.98806- 2 5.02440- 4 2.40000+ 1 3.00000+ 1 3.54787- 3 5.28100- 4 2.40000+ 1 3.20000+ 1 4.76069- 3 5.90190- 4 2.40000+ 1 3.30000+ 1 2.59800- 3 5.93390- 4 2.40000+ 1 4.10000+ 1 6.00152- 4 6.07870- 4 2.40000+ 1 4.30000+ 1 6.01287- 4 6.16960- 4 2.40000+ 1 4.40000+ 1 1.10490- 4 6.19210- 4 2.50000+ 1 2.50000+ 1 7.75275- 4 4.63090- 4 2.50000+ 1 2.70000+ 1 2.93305- 3 4.64400- 4 2.50000+ 1 2.90000+ 1 3.42750- 2 5.08140- 4 2.50000+ 1 3.00000+ 1 2.04085- 3 5.33800- 4 2.50000+ 1 3.20000+ 1 1.04953- 2 5.95890- 4 2.50000+ 1 3.30000+ 1 9.03394- 4 5.99090- 4 2.50000+ 1 4.10000+ 1 2.93850- 4 6.13570- 4 2.50000+ 1 4.30000+ 1 1.01256- 3 6.22660- 4 2.50000+ 1 4.40000+ 1 6.04414- 5 6.24910- 4 2.70000+ 1 2.70000+ 1 9.50751- 4 4.65710- 4 2.70000+ 1 2.90000+ 1 1.30046- 2 5.09450- 4 2.70000+ 1 3.00000+ 1 2.40148- 3 5.35110- 4 2.70000+ 1 3.20000+ 1 2.72417- 3 5.97200- 4 2.70000+ 1 3.30000+ 1 1.89925- 3 6.00400- 4 2.70000+ 1 4.10000+ 1 1.92215- 4 6.14880- 4 2.70000+ 1 4.30000+ 1 3.80992- 4 6.23970- 4 2.70000+ 1 4.40000+ 1 7.66562- 5 6.26220- 4 2.90000+ 1 2.90000+ 1 1.27286- 2 5.53190- 4 2.90000+ 1 3.00000+ 1 3.35505- 2 5.78850- 4 2.90000+ 1 3.20000+ 1 2.13652- 2 6.40940- 4 2.90000+ 1 3.30000+ 1 3.53845- 2 6.44140- 4 2.90000+ 1 4.10000+ 1 2.56884- 3 6.58620- 4 2.90000+ 1 4.30000+ 1 9.18248- 4 6.67710- 4 2.90000+ 1 4.40000+ 1 1.15950- 3 6.69960- 4 3.00000+ 1 3.00000+ 1 1.21338- 3 6.04510- 4 3.00000+ 1 3.20000+ 1 4.34155- 3 6.66600- 4 3.00000+ 1 3.30000+ 1 1.72173- 3 6.69800- 4 3.00000+ 1 4.10000+ 1 3.26850- 4 6.84280- 4 3.00000+ 1 4.30000+ 1 9.55789- 4 6.93370- 4 3.00000+ 1 4.40000+ 1 7.26343- 5 6.95620- 4 3.20000+ 1 3.20000+ 1 2.91388- 4 7.28690- 4 3.20000+ 1 3.30000+ 1 5.08411- 4 7.31890- 4 3.20000+ 1 4.10000+ 1 1.04513- 4 7.46370- 4 3.20000+ 1 4.30000+ 1 1.36444- 4 7.55460- 4 3.20000+ 1 4.40000+ 1 3.22976- 5 7.57710- 4 3.30000+ 1 3.30000+ 1 5.54510- 5 7.35090- 4 3.30000+ 1 4.10000+ 1 3.91579- 5 7.49570- 4 3.30000+ 1 4.30000+ 1 1.62153- 4 7.58660- 4 3.30000+ 1 4.40000+ 1 8.14686- 6 7.60910- 4 4.10000+ 1 4.10000+ 1 1.62745- 6 7.64050- 4 4.10000+ 1 4.30000+ 1 7.95623- 6 7.73140- 4 4.10000+ 1 4.40000+ 1 1.08485- 6 7.75390- 4 4.30000+ 1 4.40000+ 1 3.24436- 6 7.84480- 4 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.56389- 5 2.04210- 4 2.20000+ 1 2.02360- 4 2.28550- 4 2.70000+ 1 1.90555- 4 5.02300- 4 3.20000+ 1 1.28654- 5 6.33790- 4 3.30000+ 1 7.53648- 5 6.36990- 4 4.10000+ 1 2.64383- 5 6.51470- 4 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 5.53778- 3 3.03400- 5 2.10000+ 1 2.50000+ 1 4.51185- 3 3.60400- 5 2.10000+ 1 2.70000+ 1 1.81732- 2 3.73500- 5 2.10000+ 1 2.90000+ 1 1.41075- 2 8.10900- 5 2.10000+ 1 3.00000+ 1 4.40035- 2 1.06750- 4 2.10000+ 1 3.20000+ 1 1.15766- 2 1.68840- 4 2.10000+ 1 3.30000+ 1 1.95506- 2 1.72040- 4 2.10000+ 1 4.10000+ 1 2.06468- 3 1.86520- 4 2.10000+ 1 4.30000+ 1 5.38898- 4 1.95610- 4 2.10000+ 1 4.40000+ 1 1.25577- 3 1.97860- 4 2.20000+ 1 2.40000+ 1 4.42527- 2 5.46800- 5 2.20000+ 1 2.50000+ 1 6.92403- 2 6.03800- 5 2.20000+ 1 2.70000+ 1 9.26945- 2 6.16900- 5 2.20000+ 1 2.90000+ 1 1.00950- 1 1.05430- 4 2.20000+ 1 3.00000+ 1 1.23606- 1 1.31090- 4 2.20000+ 1 3.20000+ 1 9.03042- 2 1.93180- 4 2.20000+ 1 3.30000+ 1 1.05519- 1 1.96380- 4 2.20000+ 1 4.10000+ 1 1.20363- 2 2.10860- 4 2.20000+ 1 4.30000+ 1 3.95479- 3 2.19950- 4 2.20000+ 1 4.40000+ 1 3.90471- 3 2.22200- 4 2.40000+ 1 2.40000+ 1 7.91922- 4 3.21420- 4 2.40000+ 1 2.50000+ 1 1.31787- 2 3.27120- 4 2.40000+ 1 2.70000+ 1 7.34388- 3 3.28430- 4 2.40000+ 1 2.90000+ 1 3.85646- 3 3.72170- 4 2.40000+ 1 3.00000+ 1 4.84681- 2 3.97830- 4 2.40000+ 1 3.20000+ 1 1.39869- 3 4.59920- 4 2.40000+ 1 3.30000+ 1 6.30105- 3 4.63120- 4 2.40000+ 1 4.10000+ 1 6.40102- 4 4.77600- 4 2.40000+ 1 4.30000+ 1 1.39869- 4 4.86690- 4 2.40000+ 1 4.40000+ 1 1.22849- 3 4.88940- 4 2.50000+ 1 2.50000+ 1 6.37112- 3 3.32820- 4 2.50000+ 1 2.70000+ 1 1.62347- 2 3.34130- 4 2.50000+ 1 2.90000+ 1 1.37791- 2 3.77870- 4 2.50000+ 1 3.00000+ 1 5.88716- 2 4.03530- 4 2.50000+ 1 3.20000+ 1 1.21885- 3 4.65620- 4 2.50000+ 1 3.30000+ 1 8.33808- 3 4.68820- 4 2.50000+ 1 4.10000+ 1 1.65966- 3 4.83300- 4 2.50000+ 1 4.30000+ 1 5.11330- 4 4.92390- 4 2.50000+ 1 4.40000+ 1 1.50587- 3 4.94640- 4 2.70000+ 1 2.90000+ 1 2.44977- 4 3.79180- 4 2.70000+ 1 3.00000+ 1 5.24519- 3 4.04840- 4 2.70000+ 1 3.20000+ 1 4.30839- 4 4.66930- 4 2.70000+ 1 3.30000+ 1 7.71389- 4 4.70130- 4 2.70000+ 1 4.10000+ 1 2.42963- 6 4.84610- 4 2.70000+ 1 4.30000+ 1 7.28875- 6 4.93700- 4 2.70000+ 1 4.40000+ 1 1.31604- 4 4.95950- 4 2.90000+ 1 2.90000+ 1 7.16490- 6 4.22920- 4 2.90000+ 1 3.00000+ 1 5.26972- 3 4.48580- 4 2.90000+ 1 3.20000+ 1 2.13438- 4 5.10670- 4 2.90000+ 1 3.30000+ 1 6.75386- 4 5.13870- 4 2.90000+ 1 4.10000+ 1 2.60194- 5 5.28350- 4 2.90000+ 1 4.30000+ 1 7.54194- 7 5.37440- 4 2.90000+ 1 4.40000+ 1 1.34239- 4 5.39690- 4 3.00000+ 1 3.00000+ 1 7.43674- 3 4.74240- 4 3.00000+ 1 3.20000+ 1 7.01882- 3 5.36330- 4 3.00000+ 1 3.30000+ 1 9.26483- 3 5.39530- 4 3.00000+ 1 4.10000+ 1 7.07717- 4 5.54010- 4 3.00000+ 1 4.30000+ 1 2.38975- 4 5.63100- 4 3.00000+ 1 4.40000+ 1 4.43996- 4 5.65350- 4 3.20000+ 1 3.20000+ 1 8.96511- 5 5.98420- 4 3.20000+ 1 3.30000+ 1 5.44776- 4 6.01620- 4 3.20000+ 1 4.10000+ 1 3.01833- 5 6.16100- 4 3.20000+ 1 4.30000+ 1 6.27560- 6 6.25190- 4 3.20000+ 1 4.40000+ 1 1.27906- 4 6.27440- 4 3.30000+ 1 3.30000+ 1 5.04441- 4 6.04820- 4 3.30000+ 1 4.10000+ 1 7.05255- 5 6.19300- 4 3.30000+ 1 4.30000+ 1 2.03207- 5 6.28390- 4 3.30000+ 1 4.40000+ 1 1.70635- 4 6.30640- 4 4.10000+ 1 4.30000+ 1 5.97622- 7 6.42870- 4 4.10000+ 1 4.40000+ 1 1.25494- 5 6.45120- 4 4.30000+ 1 4.40000+ 1 4.48251- 6 6.54210- 4 4.40000+ 1 4.40000+ 1 2.98841- 6 6.56460- 4 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.77161- 4 2.91080- 4 2.90000+ 1 6.60173- 5 3.41830- 4 3.00000+ 1 8.51754- 6 3.67490- 4 4.30000+ 1 2.40751- 6 4.56350- 4 4.40000+ 1 2.54771- 7 4.58600- 4 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 4.10000+ 1 1.08520- 3 6.65000- 6 2.20000+ 1 4.30000+ 1 1.74673- 4 1.57400- 5 2.20000+ 1 4.40000+ 1 4.01332- 4 1.79900- 5 2.40000+ 1 2.40000+ 1 1.01831- 1 1.17210- 4 2.40000+ 1 2.50000+ 1 3.29061- 1 1.22910- 4 2.40000+ 1 2.70000+ 1 7.62383- 2 1.24220- 4 2.40000+ 1 2.90000+ 1 6.42944- 2 1.67960- 4 2.40000+ 1 3.00000+ 1 8.66135- 2 1.93620- 4 2.40000+ 1 3.20000+ 1 7.72412- 2 2.55710- 4 2.40000+ 1 3.30000+ 1 7.82482- 2 2.58910- 4 2.40000+ 1 4.10000+ 1 9.77484- 3 2.73390- 4 2.40000+ 1 4.30000+ 1 2.61807- 3 2.82480- 4 2.40000+ 1 4.40000+ 1 2.87325- 3 2.84730- 4 2.50000+ 1 2.50000+ 1 4.79505- 3 1.28610- 4 2.50000+ 1 2.70000+ 1 6.77766- 3 1.29920- 4 2.50000+ 1 2.90000+ 1 1.31008- 2 1.73660- 4 2.50000+ 1 3.00000+ 1 5.79976- 3 1.99320- 4 2.50000+ 1 3.20000+ 1 8.68049- 2 2.61410- 4 2.50000+ 1 3.30000+ 1 3.48258- 3 2.64610- 4 2.50000+ 1 4.10000+ 1 6.55209- 4 2.79090- 4 2.50000+ 1 4.30000+ 1 3.82245- 4 2.88180- 4 2.50000+ 1 4.40000+ 1 1.62305- 4 2.90430- 4 2.70000+ 1 2.70000+ 1 8.05881- 4 1.31230- 4 2.70000+ 1 2.90000+ 1 1.73871- 3 1.74970- 4 2.70000+ 1 3.00000+ 1 1.56152- 3 2.00630- 4 2.70000+ 1 3.20000+ 1 7.69083- 3 2.62720- 4 2.70000+ 1 3.30000+ 1 2.05690- 3 2.65920- 4 2.70000+ 1 4.10000+ 1 1.18105- 4 2.80400- 4 2.70000+ 1 4.30000+ 1 4.80917- 5 2.89490- 4 2.70000+ 1 4.40000+ 1 4.10180- 5 2.91740- 4 2.90000+ 1 2.90000+ 1 3.16482- 4 2.18710- 4 2.90000+ 1 3.00000+ 1 1.80544- 3 2.44370- 4 2.90000+ 1 3.20000+ 1 4.53020- 3 3.06460- 4 2.90000+ 1 3.30000+ 1 6.91639- 4 3.09660- 4 2.90000+ 1 4.10000+ 1 8.52175- 5 3.24140- 4 2.90000+ 1 4.30000+ 1 1.80324- 5 3.33230- 4 2.90000+ 1 4.40000+ 1 4.17253- 5 3.35480- 4 3.00000+ 1 3.00000+ 1 7.07562- 4 2.70030- 4 3.00000+ 1 3.20000+ 1 9.13676- 3 3.32120- 4 3.00000+ 1 3.30000+ 1 8.00555- 4 3.35320- 4 3.00000+ 1 4.10000+ 1 5.37466- 5 3.49800- 4 3.00000+ 1 4.30000+ 1 4.03098- 5 3.58890- 4 3.00000+ 1 4.40000+ 1 3.11164- 5 3.61140- 4 3.20000+ 1 3.20000+ 1 4.57203- 3 3.94210- 4 3.20000+ 1 3.30000+ 1 8.89071- 3 3.97410- 4 3.20000+ 1 4.10000+ 1 7.09674- 4 4.11890- 4 3.20000+ 1 4.30000+ 1 1.81746- 4 4.20980- 4 3.20000+ 1 4.40000+ 1 3.00906- 4 4.23230- 4 3.30000+ 1 3.30000+ 1 1.70446- 4 4.00610- 4 3.30000+ 1 4.10000+ 1 4.52611- 5 4.15090- 4 3.30000+ 1 4.30000+ 1 1.16690- 5 4.24180- 4 3.30000+ 1 4.40000+ 1 2.01554- 5 4.26430- 4 4.10000+ 1 4.10000+ 1 2.82888- 6 4.29570- 4 4.10000+ 1 4.30000+ 1 2.12155- 6 4.38660- 4 4.10000+ 1 4.40000+ 1 1.41440- 6 4.40910- 4 4.30000+ 1 4.40000+ 1 1.06080- 6 4.50000- 4 4.40000+ 1 4.40000+ 1 3.53612- 7 4.52250- 4 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.14580- 5 2.66740- 4 2.50000+ 1 2.48521- 4 2.72440- 4 3.00000+ 1 5.90911- 5 3.43150- 4 4.40000+ 1 1.79110- 6 4.34260- 4 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 5.60001- 3 9.28700- 5 2.40000+ 1 2.50000+ 1 1.77185- 1 9.85700- 5 2.40000+ 1 2.70000+ 1 1.00511- 2 9.98800- 5 2.40000+ 1 2.90000+ 1 6.41393- 3 1.43620- 4 2.40000+ 1 3.00000+ 1 1.33208- 2 1.69280- 4 2.40000+ 1 3.20000+ 1 4.76208- 3 2.31370- 4 2.40000+ 1 3.30000+ 1 7.63562- 2 2.34570- 4 2.40000+ 1 4.10000+ 1 1.09490- 3 2.49050- 4 2.40000+ 1 4.30000+ 1 2.47238- 4 2.58140- 4 2.40000+ 1 4.40000+ 1 3.79207- 4 2.60390- 4 2.50000+ 1 2.50000+ 1 1.54437- 1 1.04270- 4 2.50000+ 1 2.70000+ 1 8.50002- 2 1.05580- 4 2.50000+ 1 2.90000+ 1 8.92408- 2 1.49320- 4 2.50000+ 1 3.00000+ 1 8.85619- 2 1.74980- 4 2.50000+ 1 3.20000+ 1 7.33723- 2 2.37070- 4 2.50000+ 1 3.30000+ 1 1.37608- 1 2.40270- 4 2.50000+ 1 4.10000+ 1 1.09160- 2 2.54750- 4 2.50000+ 1 4.30000+ 1 3.49708- 3 2.63840- 4 2.50000+ 1 4.40000+ 1 2.95873- 3 2.66090- 4 2.70000+ 1 2.70000+ 1 1.39379- 3 1.06890- 4 2.70000+ 1 2.90000+ 1 1.70967- 3 1.50630- 4 2.70000+ 1 3.00000+ 1 3.29644- 3 1.76290- 4 2.70000+ 1 3.20000+ 1 2.60520- 3 2.38380- 4 2.70000+ 1 3.30000+ 1 1.02122- 2 2.41580- 4 2.70000+ 1 4.10000+ 1 2.01054- 4 2.56060- 4 2.70000+ 1 4.30000+ 1 4.92931- 5 2.65150- 4 2.70000+ 1 4.40000+ 1 8.53902- 5 2.67400- 4 2.90000+ 1 2.90000+ 1 2.03773- 4 1.94370- 4 2.90000+ 1 3.00000+ 1 2.98086- 3 2.20030- 4 2.90000+ 1 3.20000+ 1 3.38842- 4 2.82120- 4 2.90000+ 1 3.30000+ 1 6.90142- 3 2.85320- 4 2.90000+ 1 4.10000+ 1 7.87913- 5 2.99800- 4 2.90000+ 1 4.30000+ 1 1.08672- 5 3.08890- 4 2.90000+ 1 4.40000+ 1 6.94761- 5 3.11140- 4 3.00000+ 1 3.00000+ 1 1.00993- 3 2.45690- 4 3.00000+ 1 3.20000+ 1 1.14382- 3 3.07780- 4 3.00000+ 1 3.30000+ 1 9.24116- 3 3.10980- 4 3.00000+ 1 4.10000+ 1 1.00143- 4 3.25460- 4 3.00000+ 1 4.30000+ 1 5.47272- 5 3.34550- 4 3.00000+ 1 4.40000+ 1 4.42480- 5 3.36800- 4 3.20000+ 1 3.20000+ 1 8.69424- 5 3.69870- 4 3.20000+ 1 3.30000+ 1 7.33566- 3 3.73070- 4 3.20000+ 1 4.10000+ 1 5.66681- 5 3.87550- 4 3.20000+ 1 4.30000+ 1 9.70335- 6 3.96640- 4 3.20000+ 1 4.40000+ 1 2.79457- 5 3.98890- 4 3.30000+ 1 3.30000+ 1 8.03120- 3 3.76270- 4 3.30000+ 1 4.10000+ 1 8.14299- 4 3.90750- 4 3.30000+ 1 4.30000+ 1 2.61988- 4 3.99840- 4 3.30000+ 1 4.40000+ 1 3.09734- 4 4.02090- 4 4.10000+ 1 4.10000+ 1 5.04556- 6 4.05230- 4 4.10000+ 1 4.30000+ 1 2.32871- 6 4.14320- 4 4.10000+ 1 4.40000+ 1 2.71676- 6 4.16570- 4 4.30000+ 1 4.40000+ 1 1.16440- 6 4.25660- 4 4.40000+ 1 4.40000+ 1 3.88141- 7 4.27910- 4 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 7.13966- 6 1.38500- 4 3.30000+ 1 4.73347- 7 1.41700- 4 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 1.18742- 1 1.53800- 5 2.90000+ 1 3.30000+ 1 7.19226- 2 1.85800- 5 2.90000+ 1 4.10000+ 1 1.90115- 2 3.30600- 5 2.90000+ 1 4.30000+ 1 6.38963- 3 4.21500- 5 2.90000+ 1 4.40000+ 1 3.69279- 3 4.44000- 5 3.00000+ 1 3.20000+ 1 1.39332- 1 4.10400- 5 3.00000+ 1 3.30000+ 1 4.03647- 2 4.42400- 5 3.00000+ 1 4.10000+ 1 7.86241- 3 5.87200- 5 3.00000+ 1 4.30000+ 1 4.36955- 3 6.78100- 5 3.00000+ 1 4.40000+ 1 1.74028- 3 7.00600- 5 3.20000+ 1 3.20000+ 1 2.17395- 1 1.03130- 4 3.20000+ 1 3.30000+ 1 3.10451- 1 1.06330- 4 3.20000+ 1 4.10000+ 1 1.27199- 2 1.20810- 4 3.20000+ 1 4.30000+ 1 8.27565- 3 1.29900- 4 3.20000+ 1 4.40000+ 1 6.38504- 3 1.32150- 4 3.30000+ 1 3.30000+ 1 2.22732- 2 1.09530- 4 3.30000+ 1 4.10000+ 1 1.89053- 3 1.24010- 4 3.30000+ 1 4.30000+ 1 4.84554- 3 1.33100- 4 3.30000+ 1 4.40000+ 1 1.89053- 3 1.35350- 4 4.10000+ 1 4.10000+ 1 1.25195- 5 1.38490- 4 4.10000+ 1 4.30000+ 1 2.12834- 4 1.47580- 4 4.10000+ 1 4.40000+ 1 1.25195- 4 1.49830- 4 4.30000+ 1 4.40000+ 1 7.51186- 5 1.58920- 4 4.40000+ 1 4.40000+ 1 1.25199- 5 1.61170- 4 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 6.88169- 6 1.36000- 4 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 2.25820- 2 9.68000- 6 2.90000+ 1 3.30000+ 1 8.92782- 2 1.28800- 5 2.90000+ 1 4.10000+ 1 1.77316- 3 2.73600- 5 2.90000+ 1 4.30000+ 1 1.84408- 4 3.64500- 5 2.90000+ 1 4.40000+ 1 3.06389- 3 3.87000- 5 3.00000+ 1 3.20000+ 1 5.55977- 2 3.53400- 5 3.00000+ 1 3.30000+ 1 1.97921- 1 3.85400- 5 3.00000+ 1 4.10000+ 1 2.20304- 2 5.30200- 5 3.00000+ 1 4.30000+ 1 3.69651- 3 6.21100- 5 3.00000+ 1 4.40000+ 1 7.06812- 3 6.43600- 5 3.20000+ 1 3.20000+ 1 1.22300- 2 9.74300- 5 3.20000+ 1 3.30000+ 1 2.36910- 1 1.00630- 4 3.20000+ 1 4.10000+ 1 1.38285- 3 1.15110- 4 3.20000+ 1 4.30000+ 1 5.77318- 4 1.24200- 4 3.20000+ 1 4.40000+ 1 3.85317- 3 1.26450- 4 3.30000+ 1 3.30000+ 1 3.10119- 1 1.03830- 4 3.30000+ 1 4.10000+ 1 1.46371- 2 1.18310- 4 3.30000+ 1 4.30000+ 1 5.09120- 3 1.27400- 4 3.30000+ 1 4.40000+ 1 1.15772- 2 1.29650- 4 4.10000+ 1 4.10000+ 1 1.35405- 5 1.32790- 4 4.10000+ 1 4.30000+ 1 6.77033- 5 1.41880- 4 4.10000+ 1 4.40000+ 1 2.57281- 4 1.44130- 4 4.30000+ 1 4.40000+ 1 4.06225- 5 1.53220- 4 4.40000+ 1 4.40000+ 1 4.06225- 5 1.55470- 4 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.13076- 6 4.37400- 5 3.00000+ 1 9.27515- 6 6.94000- 5 4.30000+ 1 2.08903- 7 1.58260- 4 4.40000+ 1 3.22207- 9 1.60510- 4 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 3.31306- 2 8.37000- 6 2.90000+ 1 3.30000+ 1 1.28414- 1 1.15700- 5 2.90000+ 1 4.10000+ 1 7.79119- 3 2.60500- 5 2.90000+ 1 4.30000+ 1 1.51931- 3 3.51400- 5 2.90000+ 1 4.40000+ 1 3.20459- 3 3.73900- 5 3.00000+ 1 3.20000+ 1 3.31328- 1 3.40300- 5 3.00000+ 1 3.30000+ 1 2.99006- 1 3.72300- 5 3.00000+ 1 4.10000+ 1 1.65603- 2 5.17100- 5 3.00000+ 1 4.30000+ 1 6.02352- 3 6.08000- 5 3.00000+ 1 4.40000+ 1 5.46024- 3 6.30500- 5 3.20000+ 1 3.20000+ 1 2.34641- 3 9.61200- 5 3.20000+ 1 3.30000+ 1 1.18405- 1 9.93200- 5 3.20000+ 1 4.10000+ 1 8.02003- 3 1.13800- 4 3.20000+ 1 4.30000+ 1 3.38814- 4 1.22890- 4 3.20000+ 1 4.40000+ 1 2.67913- 3 1.25140- 4 3.30000+ 1 3.30000+ 1 1.73974- 2 1.02520- 4 3.30000+ 1 4.10000+ 1 6.22139- 3 1.17000- 4 3.30000+ 1 4.30000+ 1 9.64225- 4 1.26090- 4 3.30000+ 1 4.40000+ 1 9.50912- 4 1.28340- 4 4.10000+ 1 4.10000+ 1 2.09515- 3 1.31480- 4 4.10000+ 1 4.30000+ 1 9.15570- 4 1.40570- 4 4.10000+ 1 4.40000+ 1 1.27847- 3 1.42820- 4 4.30000+ 1 4.40000+ 1 4.33279- 3 1.51910- 4 4.40000+ 1 4.40000+ 1 1.60630- 3 1.54160- 4 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 6.36737- 6 8.77500- 5 4.10000+ 1 5.45118- 7 1.05430- 4 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 4.10000+ 1 2.23175- 2 7.97000- 6 3.00000+ 1 4.30000+ 1 2.17826- 2 1.70600- 5 3.00000+ 1 4.40000+ 1 1.86380- 2 1.93100- 5 3.20000+ 1 3.20000+ 1 1.57403- 1 5.23800- 5 3.20000+ 1 3.30000+ 1 6.87751- 1 5.55800- 5 3.20000+ 1 4.10000+ 1 3.18616- 2 7.00600- 5 3.20000+ 1 4.30000+ 1 8.48023- 3 7.91500- 5 3.20000+ 1 4.40000+ 1 1.32856- 2 8.14000- 5 3.30000+ 1 3.30000+ 1 2.58241- 2 5.87800- 5 3.30000+ 1 4.10000+ 1 2.43532- 3 7.32600- 5 3.30000+ 1 4.30000+ 1 7.65437- 3 8.23500- 5 3.30000+ 1 4.40000+ 1 1.61926- 3 8.46000- 5 4.10000+ 1 4.10000+ 1 1.91569- 5 8.77400- 5 4.10000+ 1 4.30000+ 1 5.80265- 4 9.68300- 5 4.10000+ 1 4.40000+ 1 8.05288- 5 9.90800- 5 4.30000+ 1 4.40000+ 1 2.54250- 4 1.08170- 4 4.40000+ 1 4.40000+ 1 6.81901- 6 1.10420- 4 1 83000 0 7 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.10601- 7 6.20900- 5 3.30000+ 1 1.15591- 6 6.52900- 5 4.10000+ 1 2.17122- 7 7.97700- 5 1 83000 0 9 2.08980+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 2.50034- 2 2.67200- 5 3.20000+ 1 3.30000+ 1 5.60037- 1 2.99200- 5 3.20000+ 1 4.10000+ 1 8.16069- 3 4.44000- 5 3.20000+ 1 4.30000+ 1 1.39165- 3 5.34900- 5 3.20000+ 1 4.40000+ 1 4.53287- 3 5.57400- 5 3.30000+ 1 3.30000+ 1 3.46477- 1 3.31200- 5 3.30000+ 1 4.10000+ 1 3.13297- 2 4.76000- 5 3.30000+ 1 4.30000+ 1 1.02865- 2 5.66900- 5 3.30000+ 1 4.40000+ 1 1.17302- 2 5.89400- 5 4.10000+ 1 4.10000+ 1 1.99552- 4 6.20800- 5 4.10000+ 1 4.30000+ 1 1.36078- 4 7.11700- 5 4.10000+ 1 4.40000+ 1 4.98237- 4 7.34200- 5 4.30000+ 1 4.40000+ 1 1.28541- 4 8.25100- 5 4.40000+ 1 4.40000+ 1 8.74908- 5 8.47600- 5 1 84000 0 0 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 1.33000+ 0 4.40000+ 1 2.67000+ 0 1 84000 0 0 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.34240- 2 3.00000+ 0 1.69180- 2 5.00000+ 0 1.62970- 2 6.00000+ 0 1.38170- 2 8.00000+ 0 4.12760- 3 1.00000+ 1 3.84020- 3 1.10000+ 1 3.28150- 3 1.30000+ 1 2.80350- 3 1.40000+ 1 2.68510- 3 1.60000+ 1 9.71640- 4 1.80000+ 1 8.44300- 4 1.90000+ 1 7.04960- 4 2.10000+ 1 4.95560- 4 2.20000+ 1 4.69540- 4 2.40000+ 1 1.95500- 4 2.50000+ 1 1.89300- 4 2.70000+ 1 1.81340- 4 2.90000+ 1 1.35730- 4 3.00000+ 1 1.07520- 4 3.20000+ 1 4.21600- 5 3.30000+ 1 3.85100- 5 4.10000+ 1 2.03300- 5 4.30000+ 1 1.02500- 5 4.40000+ 1 7.44000- 6 1 84000 0 0 2.09000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.33380- 1 3.00000+ 0 3.24050- 2 5.00000+ 0 3.23910- 2 6.00000+ 0 2.25780- 2 8.00000+ 0 1.03660- 2 1.00000+ 1 1.02420- 2 1.10000+ 1 7.79090- 3 1.30000+ 1 7.63890- 3 1.40000+ 1 7.13950- 3 1.60000+ 1 3.47010- 3 1.80000+ 1 3.33200- 3 1.90000+ 1 2.58810- 3 2.10000+ 1 2.36050- 3 2.20000+ 1 2.21290- 3 2.40000+ 1 1.84500- 3 2.50000+ 1 1.79550- 3 2.70000+ 1 9.58450- 4 2.90000+ 1 8.48890- 4 3.00000+ 1 6.52300- 4 3.20000+ 1 4.51700- 4 3.30000+ 1 4.18020- 4 4.10000+ 1 1.68470- 4 4.30000+ 1 1.10720- 4 4.40000+ 1 7.40200- 5 1 84000 0 0 2.09000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.21360-11 3.00000+ 0 3.41360-10 5.00000+ 0 2.78960-10 6.00000+ 0 3.27420-10 8.00000+ 0 8.86230-10 1.00000+ 1 8.35650-10 1.10000+ 1 9.23690-10 1.30000+ 1 8.00120-10 1.40000+ 1 8.26380-10 1.60000+ 1 1.94660- 9 1.80000+ 1 1.94590- 9 1.90000+ 1 2.12810- 9 2.10000+ 1 2.13620- 9 2.20000+ 1 2.19340- 9 2.40000+ 1 2.21310- 9 2.50000+ 1 2.24320- 9 2.70000+ 1 4.23620- 9 2.90000+ 1 4.47940- 9 3.00000+ 1 4.93130- 9 3.20000+ 1 5.91600- 9 3.30000+ 1 6.10900- 9 4.10000+ 1 1.05000- 8 4.30000+ 1 1.27900- 8 4.40000+ 1 1.49980- 8 1 84000 0 0 2.09000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.31880- 5 3.00000+ 0 1.52700- 6 5.00000+ 0 2.69120- 6 6.00000+ 0 2.31500- 6 8.00000+ 0 6.12790- 8 1.00000+ 1 6.84870- 8 1.10000+ 1 7.46000- 8 1.30000+ 1 9.47990- 8 1.40000+ 1 8.83090- 8 1.60000+ 1 2.56080- 9 1.80000+ 1 3.70600- 9 1.90000+ 1 2.41700- 9 2.10000+ 1 2.12420- 9 2.20000+ 1 1.73250- 9 2.40000+ 1 3.54730-11 2.50000+ 1 3.23710-11 2.70000+ 1 1.48350-10 2.90000+ 1 3.12270-10 3.00000+ 1 1.69390-10 1 84000 0 0 2.09000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.23650- 6 3.00000+ 0 1.26660- 5 5.00000+ 0 3.57700- 6 6.00000+ 0 3.93430- 6 8.00000+ 0 1.93910- 5 1.00000+ 1 1.36310- 5 1.10000+ 1 1.09120- 5 1.30000+ 1 2.62170- 6 1.40000+ 1 2.59080- 6 1.60000+ 1 1.51110- 5 1.80000+ 1 1.43320- 5 1.90000+ 1 9.08380- 6 2.10000+ 1 7.57300- 6 2.20000+ 1 6.84540- 6 2.40000+ 1 1.90230- 7 2.50000+ 1 1.77520- 7 2.70000+ 1 2.95130- 5 2.90000+ 1 8.52950- 6 3.00000+ 1 1.67390- 5 1 84000 0 0 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.34572- 4 3.00000+ 0 6.21932- 4 5.00000+ 0 4.43791- 4 6.00000+ 0 4.37784- 4 8.00000+ 0 4.50578- 4 1.00000+ 1 3.90987- 4 1.10000+ 1 3.47358- 4 1.30000+ 1 2.65810- 4 1.40000+ 1 2.58607- 4 1.60000+ 1 2.42909- 4 1.80000+ 1 2.28910- 4 1.90000+ 1 2.16255- 4 2.10000+ 1 1.67784- 4 2.20000+ 1 1.61740- 4 2.40000+ 1 9.51714- 5 2.50000+ 1 9.26540- 5 2.70000+ 1 1.08999- 4 2.90000+ 1 7.94848- 5 3.00000+ 1 7.73424- 5 3.20000+ 1 4.21600- 5 3.30000+ 1 3.85100- 5 4.10000+ 1 2.03300- 5 4.30000+ 1 1.02500- 5 4.40000+ 1 7.44000- 6 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.34741+ 0 3.00000+ 0 4.66894- 1 5.00000+ 0 5.25200- 1 6.00000+ 0 4.27471- 1 8.00000+ 0 3.97325- 2 1.00000+ 1 3.96155- 2 1.10000+ 1 3.69898- 2 1.30000+ 1 4.27071- 2 1.40000+ 1 3.97778- 2 1.60000+ 1 1.33440- 3 1.80000+ 1 1.58912- 3 1.90000+ 1 8.40748- 4 2.10000+ 1 4.07167- 4 2.20000+ 1 3.65728- 4 2.40000+ 1 1.32347- 5 2.50000+ 1 1.14135- 5 2.70000+ 1 1.46564- 5 2.90000+ 1 9.06516- 6 3.00000+ 1 1.92065- 6 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.25081- 2 3.00000+ 0 4.99802- 3 5.00000+ 0 6.62537- 3 6.00000+ 0 4.42947- 3 8.00000+ 0 1.01554- 4 1.00000+ 1 1.01731- 4 1.10000+ 1 9.26779- 5 1.30000+ 1 1.08379- 4 1.40000+ 1 9.73483- 5 1.60000+ 1 6.22393- 7 1.80000+ 1 6.47406- 7 1.90000+ 1 3.27556- 7 2.10000+ 1 1.24979- 7 2.20000+ 1 1.05714- 7 2.40000+ 1 1.87997- 9 2.50000+ 1 1.61418- 9 2.70000+ 1 1.11055- 9 2.90000+ 1 8.62584-10 3.00000+ 1 1.37764-10 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.03132+ 1 3.00000+ 0 1.51939+ 1 5.00000+ 0 1.05346+ 1 6.00000+ 0 1.04052+ 1 8.00000+ 0 1.07407+ 1 1.00000+ 1 9.16654+ 0 1.10000+ 1 8.05700+ 0 1.30000+ 1 5.89245+ 0 1.40000+ 1 5.74672+ 0 1.60000+ 1 5.34271+ 0 1.80000+ 1 4.94954+ 0 1.90000+ 1 4.64456+ 0 2.10000+ 1 3.33821+ 0 2.20000+ 1 3.22739+ 0 2.40000+ 1 1.44328+ 0 2.50000+ 1 1.43721+ 0 2.70000+ 1 1.83161+ 0 2.90000+ 1 1.05381+ 0 3.00000+ 1 9.99998- 1 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.04813- 2 3.00000+ 0 1.12981- 2 5.00000+ 0 9.22783- 3 6.00000+ 0 8.94975- 3 8.00000+ 0 3.57547- 3 1.00000+ 1 3.34748- 3 1.10000+ 1 2.84146- 3 1.30000+ 1 2.42931- 3 1.40000+ 1 2.32914- 3 1.60000+ 1 7.28109- 4 1.80000+ 1 6.14742- 4 1.90000+ 1 4.88378- 4 2.10000+ 1 3.27651- 4 2.20000+ 1 3.07695- 4 2.40000+ 1 1.00327- 4 2.50000+ 1 9.66444- 5 2.70000+ 1 7.23397- 5 2.90000+ 1 5.62444- 5 3.00000+ 1 3.01775- 5 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.83449- 1 7.71270- 2 6.00000+ 0 4.71838- 1 7.96070- 2 1.00000+ 1 5.29628- 2 8.95838- 2 1.10000+ 1 1.02770- 1 9.01425- 2 1.30000+ 1 1.52239- 3 9.06205- 2 1.40000+ 1 1.82179- 3 9.07389- 2 1.80000+ 1 1.27699- 2 9.25797- 2 1.90000+ 1 2.52079- 2 9.27190- 2 2.10000+ 1 4.13858- 4 9.29284- 2 2.20000+ 1 4.94968- 4 9.29545- 2 2.90000+ 1 2.99139- 3 9.32883- 2 3.00000+ 1 5.75317- 3 9.33165- 2 3.20000+ 1 6.14157- 5 9.33818- 2 3.30000+ 1 7.21227- 5 9.33855- 2 4.30000+ 1 1.85779- 4 9.34137- 2 4.40000+ 1 3.06379- 4 9.34166- 2 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.10923- 3 5.95880- 2 3.00000+ 0 5.00000+ 0 6.74392- 3 6.02090- 2 3.00000+ 0 6.00000+ 0 3.40843- 3 6.26890- 2 3.00000+ 0 8.00000+ 0 1.66758- 3 7.23784- 2 3.00000+ 0 1.00000+ 1 1.46165- 3 7.26658- 2 3.00000+ 0 1.10000+ 1 8.08472- 4 7.32245- 2 3.00000+ 0 1.30000+ 1 6.89943- 5 7.37025- 2 3.00000+ 0 1.40000+ 1 4.94357- 5 7.38209- 2 3.00000+ 0 1.60000+ 1 4.24233- 4 7.55344- 2 3.00000+ 0 1.80000+ 1 3.64105- 4 7.56617- 2 3.00000+ 0 1.90000+ 1 2.01514- 4 7.58010- 2 3.00000+ 0 2.10000+ 1 1.86455- 5 7.60104- 2 3.00000+ 0 2.20000+ 1 1.31433- 5 7.60365- 2 3.00000+ 0 2.40000+ 1 4.54811- 8 7.63105- 2 3.00000+ 0 2.50000+ 1 4.54811- 8 7.63167- 2 3.00000+ 0 2.70000+ 1 9.45516- 5 7.63247- 2 3.00000+ 0 2.90000+ 1 7.37670- 5 7.63703- 2 3.00000+ 0 3.00000+ 1 3.97023- 5 7.63985- 2 3.00000+ 0 3.20000+ 1 2.63775- 6 7.64638- 2 3.00000+ 0 3.30000+ 1 1.81905- 6 7.64675- 2 5.00000+ 0 5.00000+ 0 3.33942- 4 6.08300- 2 5.00000+ 0 6.00000+ 0 5.89549- 3 6.33100- 2 5.00000+ 0 8.00000+ 0 1.19421- 3 7.29994- 2 5.00000+ 0 1.00000+ 1 1.27021- 4 7.32868- 2 5.00000+ 0 1.10000+ 1 1.17310- 3 7.38455- 2 5.00000+ 0 1.30000+ 1 7.06247- 5 7.43235- 2 5.00000+ 0 1.40000+ 1 1.78728- 4 7.44419- 2 5.00000+ 0 1.60000+ 1 2.94518- 4 7.61554- 2 5.00000+ 0 1.80000+ 1 3.06974- 5 7.62827- 2 5.00000+ 0 1.90000+ 1 2.80596- 4 7.64220- 2 5.00000+ 0 2.10000+ 1 1.83277- 5 7.66314- 2 5.00000+ 0 2.20000+ 1 4.65709- 5 7.66575- 2 5.00000+ 0 2.40000+ 1 5.45739- 7 7.69315- 2 5.00000+ 0 2.50000+ 1 8.18570- 7 7.69377- 2 5.00000+ 0 2.70000+ 1 6.51228- 5 7.69457- 2 5.00000+ 0 2.90000+ 1 6.18518- 6 7.69913- 2 5.00000+ 0 3.00000+ 1 5.47576- 5 7.70195- 2 5.00000+ 0 3.20000+ 1 2.59216- 6 7.70848- 2 5.00000+ 0 3.30000+ 1 6.41244- 6 7.70885- 2 6.00000+ 0 6.00000+ 0 2.50128- 3 6.57900- 2 6.00000+ 0 8.00000+ 0 5.44360- 4 7.54794- 2 6.00000+ 0 1.00000+ 1 1.05467- 3 7.57668- 2 6.00000+ 0 1.10000+ 1 1.02801- 3 7.63255- 2 6.00000+ 0 1.30000+ 1 1.97329- 4 7.68035- 2 6.00000+ 0 1.40000+ 1 1.62541- 4 7.69219- 2 6.00000+ 0 1.60000+ 1 1.30968- 4 7.86354- 2 6.00000+ 0 1.80000+ 1 2.51768- 4 7.87627- 2 6.00000+ 0 1.90000+ 1 2.48072- 4 7.89020- 2 6.00000+ 0 2.10000+ 1 5.17523- 5 7.91114- 2 6.00000+ 0 2.20000+ 1 4.25223- 5 7.91375- 2 6.00000+ 0 2.40000+ 1 8.64062- 7 7.94115- 2 6.00000+ 0 2.50000+ 1 9.55006- 7 7.94177- 2 6.00000+ 0 2.70000+ 1 2.87868- 5 7.94257- 2 6.00000+ 0 2.90000+ 1 5.05252- 5 7.94713- 2 6.00000+ 0 3.00000+ 1 4.85261- 5 7.94995- 2 6.00000+ 0 3.20000+ 1 7.27624- 6 7.95648- 2 6.00000+ 0 3.30000+ 1 5.86671- 6 7.95685- 2 8.00000+ 0 8.00000+ 0 1.66445- 4 8.51688- 2 8.00000+ 0 1.00000+ 1 2.59270- 4 8.54562- 2 8.00000+ 0 1.10000+ 1 1.30203- 4 8.60149- 2 8.00000+ 0 1.30000+ 1 1.08236- 5 8.64929- 2 8.00000+ 0 1.40000+ 1 7.27624- 6 8.66113- 2 8.00000+ 0 1.60000+ 1 8.44059- 5 8.83248- 2 8.00000+ 0 1.80000+ 1 6.46217- 5 8.84521- 2 8.00000+ 0 1.90000+ 1 3.25170- 5 8.85914- 2 8.00000+ 0 2.10000+ 1 2.91061- 6 8.88008- 2 8.00000+ 0 2.20000+ 1 1.90997- 6 8.88269- 2 8.00000+ 0 2.70000+ 1 1.87826- 5 8.91151- 2 8.00000+ 0 2.90000+ 1 1.30968- 5 8.91607- 2 8.00000+ 0 3.00000+ 1 6.41242- 6 8.91889- 2 8.00000+ 0 3.20000+ 1 4.09300- 7 8.92542- 2 8.00000+ 0 3.30000+ 1 2.72863- 7 8.92579- 2 1.00000+ 1 1.00000+ 1 1.16875- 5 8.57436- 2 1.00000+ 1 1.10000+ 1 2.16024- 4 8.63023- 2 1.00000+ 1 1.30000+ 1 1.11418- 5 8.67803- 2 1.00000+ 1 1.40000+ 1 2.40127- 5 8.68987- 2 1.00000+ 1 1.60000+ 1 6.39430- 5 8.86122- 2 1.00000+ 1 1.80000+ 1 5.59400- 6 8.87395- 2 1.00000+ 1 1.90000+ 1 5.19810- 5 8.88788- 2 1.00000+ 1 2.10000+ 1 2.91068- 6 8.90882- 2 1.00000+ 1 2.20000+ 1 6.32136- 6 8.91143- 2 1.00000+ 1 2.40000+ 1 4.54805- 8 8.93883- 2 1.00000+ 1 2.50000+ 1 9.09577- 8 8.93945- 2 1.00000+ 1 2.70000+ 1 1.41438- 5 8.94025- 2 1.00000+ 1 2.90000+ 1 1.13692- 6 8.94481- 2 1.00000+ 1 3.00000+ 1 1.01416- 5 8.94763- 2 1.00000+ 1 3.20000+ 1 4.09311- 7 8.95416- 2 1.00000+ 1 3.30000+ 1 8.64082- 7 8.95453- 2 1.10000+ 1 1.10000+ 1 1.06737- 4 8.68610- 2 1.10000+ 1 1.30000+ 1 3.26068- 5 8.73390- 2 1.10000+ 1 1.40000+ 1 2.59216- 5 8.74574- 2 1.10000+ 1 1.60000+ 1 3.13786- 5 8.91709- 2 1.10000+ 1 1.80000+ 1 5.18452- 5 8.92982- 2 1.10000+ 1 1.90000+ 1 5.16178- 5 8.94375- 2 1.10000+ 1 2.10000+ 1 8.64063- 6 8.96469- 2 1.10000+ 1 2.20000+ 1 6.82176- 6 8.96730- 2 1.10000+ 1 2.40000+ 1 1.36426- 7 8.99470- 2 1.10000+ 1 2.50000+ 1 1.36426- 7 8.99532- 2 1.10000+ 1 2.70000+ 1 6.91264- 6 8.99612- 2 1.10000+ 1 2.90000+ 1 1.04143- 5 9.00068- 2 1.10000+ 1 3.00000+ 1 1.00962- 5 9.00350- 2 1.10000+ 1 3.20000+ 1 1.22789- 6 9.01003- 2 1.10000+ 1 3.30000+ 1 9.55007- 7 9.01040- 2 1.30000+ 1 1.30000+ 1 9.09581- 8 8.78170- 2 1.30000+ 1 1.40000+ 1 3.72927- 6 8.79354- 2 1.30000+ 1 1.60000+ 1 2.59223- 6 8.96489- 2 1.30000+ 1 1.80000+ 1 2.59223- 6 8.97762- 2 1.30000+ 1 1.90000+ 1 7.45854- 6 8.99155- 2 1.30000+ 1 2.10000+ 1 4.54806- 8 9.01249- 2 1.30000+ 1 2.20000+ 1 9.55032- 7 9.01510- 2 1.30000+ 1 2.70000+ 1 5.91205- 7 9.04392- 2 1.30000+ 1 2.90000+ 1 5.00258- 7 9.04848- 2 1.30000+ 1 3.00000+ 1 1.45528- 6 9.05130- 2 1.30000+ 1 3.30000+ 1 1.36430- 7 9.05820- 2 1.40000+ 1 1.40000+ 1 8.64054- 7 8.80538- 2 1.40000+ 1 1.60000+ 1 1.72808- 6 8.97673- 2 1.40000+ 1 1.80000+ 1 5.36657- 6 8.98946- 2 1.40000+ 1 1.90000+ 1 5.91183- 6 9.00339- 2 1.40000+ 1 2.10000+ 1 9.54998- 7 9.02433- 2 1.40000+ 1 2.20000+ 1 4.54790- 7 9.02694- 2 1.40000+ 1 2.70000+ 1 3.63826- 7 9.05576- 2 1.40000+ 1 2.90000+ 1 1.04598- 6 9.06032- 2 1.40000+ 1 3.00000+ 1 1.13689- 6 9.06314- 2 1.40000+ 1 3.20000+ 1 1.36425- 7 9.06967- 2 1.40000+ 1 3.30000+ 1 4.54790- 8 9.07004- 2 1.60000+ 1 1.60000+ 1 1.06874- 5 9.14807- 2 1.60000+ 1 1.80000+ 1 1.59176- 5 9.16081- 2 1.60000+ 1 1.90000+ 1 7.82224- 6 9.17474- 2 1.60000+ 1 2.10000+ 1 7.27641- 7 9.19568- 2 1.60000+ 1 2.20000+ 1 4.54804- 7 9.19828- 2 1.60000+ 1 2.70000+ 1 4.77529- 6 9.22710- 2 1.60000+ 1 2.90000+ 1 3.22903- 6 9.23166- 2 1.60000+ 1 3.00000+ 1 1.54626- 6 9.23448- 2 1.60000+ 1 3.20000+ 1 9.09577- 8 9.24102- 2 1.60000+ 1 3.30000+ 1 4.54804- 8 9.24138- 2 1.80000+ 1 1.80000+ 1 6.82199- 7 9.17354- 2 1.80000+ 1 1.90000+ 1 1.25068- 5 9.18747- 2 1.80000+ 1 2.10000+ 1 6.82199- 7 9.20841- 2 1.80000+ 1 2.20000+ 1 1.40980- 6 9.21102- 2 1.80000+ 1 2.70000+ 1 3.54731- 6 9.23984- 2 1.80000+ 1 2.90000+ 1 2.72873- 7 9.24440- 2 1.80000+ 1 3.00000+ 1 2.45587- 6 9.24722- 2 1.80000+ 1 3.20000+ 1 9.09588- 8 9.25375- 2 1.80000+ 1 3.30000+ 1 1.81905- 7 9.25412- 2 1.90000+ 1 1.90000+ 1 6.16133- 6 9.20141- 2 1.90000+ 1 2.10000+ 1 1.97887- 6 9.22235- 2 1.90000+ 1 2.20000+ 1 1.52908- 6 9.22495- 2 1.90000+ 1 2.40000+ 1 4.49749- 8 9.25235- 2 1.90000+ 1 2.50000+ 1 4.49749- 8 9.25297- 2 1.90000+ 1 2.70000+ 1 1.70893- 6 9.25377- 2 1.90000+ 1 2.90000+ 1 2.47353- 6 9.25833- 2 1.90000+ 1 3.00000+ 1 2.42854- 6 9.26115- 2 1.90000+ 1 3.20000+ 1 2.69837- 7 9.26769- 2 1.90000+ 1 3.30000+ 1 2.24859- 7 9.26805- 2 2.10000+ 1 2.20000+ 1 2.40470- 7 9.24589- 2 2.10000+ 1 2.70000+ 1 1.44279- 7 9.27471- 2 2.10000+ 1 2.90000+ 1 1.44279- 7 9.27927- 2 2.10000+ 1 3.00000+ 1 3.84771- 7 9.28209- 2 2.10000+ 1 3.30000+ 1 4.80972- 8 9.28899- 2 2.20000+ 1 2.20000+ 1 4.77538- 8 9.24849- 2 2.20000+ 1 2.70000+ 1 9.55042- 8 9.27731- 2 2.20000+ 1 2.90000+ 1 2.86509- 7 9.28187- 2 2.20000+ 1 3.00000+ 1 3.34255- 7 9.28469- 2 2.20000+ 1 3.20000+ 1 4.77538- 8 9.29123- 2 2.70000+ 1 2.70000+ 1 5.62468- 7 9.30613- 2 2.70000+ 1 2.90000+ 1 7.49930- 7 9.31069- 2 2.70000+ 1 3.00000+ 1 3.28094- 7 9.31351- 2 2.90000+ 1 2.90000+ 1 4.55405- 8 9.31525- 2 2.90000+ 1 3.00000+ 1 5.00916- 7 9.31807- 2 2.90000+ 1 3.30000+ 1 4.55405- 8 9.32498- 2 3.00000+ 1 3.00000+ 1 2.57544- 7 9.32090- 2 3.00000+ 1 3.20000+ 1 5.15123- 8 9.32743- 2 3.00000+ 1 3.30000+ 1 5.15123- 8 9.32780- 2 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.19790- 5 6.21000- 4 6.00000+ 0 3.70189- 3 3.10100- 3 1.00000+ 1 3.65129- 2 1.30778- 2 1.10000+ 1 3.83129- 2 1.36365- 2 1.30000+ 1 1.38799- 3 1.41145- 2 1.40000+ 1 2.07579- 3 1.42329- 2 1.80000+ 1 9.49786- 3 1.60737- 2 1.90000+ 1 1.09630- 2 1.62130- 2 2.10000+ 1 2.17789- 4 1.64224- 2 2.20000+ 1 3.45599- 4 1.64485- 2 2.90000+ 1 1.96419- 3 1.67823- 2 3.00000+ 1 2.24479- 3 1.68105- 2 3.20000+ 1 2.89539- 5 1.68758- 2 3.30000+ 1 4.57428- 5 1.68795- 2 4.30000+ 1 1.40579- 4 1.69077- 2 4.40000+ 1 1.37649- 4 1.69106- 2 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.10000+ 1 4.64308- 3 1.25440- 4 5.00000+ 0 2.20000+ 1 6.09838- 3 1.51460- 4 5.00000+ 0 2.40000+ 1 1.40430- 2 4.25500- 4 5.00000+ 0 2.50000+ 1 1.86927- 2 4.31700- 4 5.00000+ 0 2.70000+ 1 4.55548- 3 4.39660- 4 5.00000+ 0 2.90000+ 1 3.38576- 3 4.85270- 4 5.00000+ 0 3.00000+ 1 3.00959- 3 5.13480- 4 5.00000+ 0 3.20000+ 1 6.56974- 4 5.78840- 4 5.00000+ 0 3.30000+ 1 8.63820- 4 5.82490- 4 6.00000+ 0 1.30000+ 1 2.30307- 1 2.97500- 4 6.00000+ 0 1.40000+ 1 2.89083- 1 4.15900- 4 6.00000+ 0 1.60000+ 1 1.83639- 2 2.12936- 3 6.00000+ 0 1.80000+ 1 7.24968- 3 2.25670- 3 6.00000+ 0 1.90000+ 1 1.07864- 2 2.39604- 3 6.00000+ 0 2.10000+ 1 3.13442- 2 2.60544- 3 6.00000+ 0 2.20000+ 1 3.70418- 2 2.63146- 3 6.00000+ 0 2.40000+ 1 2.14337- 2 2.90550- 3 6.00000+ 0 2.50000+ 1 2.66095- 2 2.91170- 3 6.00000+ 0 2.70000+ 1 3.88958- 3 2.91966- 3 6.00000+ 0 2.90000+ 1 1.44152- 3 2.96527- 3 6.00000+ 0 3.00000+ 1 2.10837- 3 2.99348- 3 6.00000+ 0 3.20000+ 1 4.05007- 3 3.05884- 3 6.00000+ 0 3.30000+ 1 4.62803- 3 3.06249- 3 8.00000+ 0 8.00000+ 0 5.24381- 3 8.66280- 3 8.00000+ 0 1.00000+ 1 1.08284- 2 8.95020- 3 8.00000+ 0 1.10000+ 1 1.66680- 2 9.50890- 3 8.00000+ 0 1.30000+ 1 1.22203- 2 9.98690- 3 8.00000+ 0 1.40000+ 1 1.54811- 2 1.01053- 2 8.00000+ 0 1.60000+ 1 2.27048- 3 1.18188- 2 8.00000+ 0 1.80000+ 1 2.66565- 3 1.19461- 2 8.00000+ 0 1.90000+ 1 4.05387- 3 1.20854- 2 8.00000+ 0 2.10000+ 1 2.73655- 3 1.22948- 2 8.00000+ 0 2.20000+ 1 3.44160- 3 1.23209- 2 8.00000+ 0 2.40000+ 1 2.34847- 4 1.25949- 2 8.00000+ 0 2.50000+ 1 2.54776- 4 1.26011- 2 8.00000+ 0 2.70000+ 1 4.92302- 4 1.26091- 2 8.00000+ 0 2.90000+ 1 5.38120- 4 1.26547- 2 8.00000+ 0 3.00000+ 1 7.93525- 4 1.26829- 2 8.00000+ 0 3.20000+ 1 3.74979- 4 1.27482- 2 8.00000+ 0 3.30000+ 1 4.60294- 4 1.27519- 2 1.00000+ 1 1.00000+ 1 1.89799- 5 9.23760- 3 1.00000+ 1 1.10000+ 1 2.08768- 4 9.79630- 3 1.00000+ 1 1.30000+ 1 6.77881- 4 1.02743- 2 1.00000+ 1 1.40000+ 1 5.33790- 3 1.03927- 2 1.00000+ 1 1.60000+ 1 1.84959- 3 1.21062- 2 1.00000+ 1 1.80000+ 1 2.49216- 6 1.22335- 2 1.00000+ 1 1.90000+ 1 4.21766- 5 1.23728- 2 1.00000+ 1 2.10000+ 1 1.31902- 4 1.25822- 2 1.00000+ 1 2.20000+ 1 7.59916- 4 1.26083- 2 1.00000+ 1 2.40000+ 1 8.68410- 5 1.28823- 2 1.00000+ 1 2.50000+ 1 3.01553- 4 1.28885- 2 1.00000+ 1 2.70000+ 1 3.77479- 4 1.28965- 2 1.00000+ 1 2.90000+ 1 3.83408- 7 1.29421- 2 1.00000+ 1 3.00000+ 1 7.85974- 6 1.29703- 2 1.00000+ 1 3.20000+ 1 1.80199- 5 1.30356- 2 1.00000+ 1 3.30000+ 1 9.41255- 5 1.30393- 2 1.10000+ 1 1.10000+ 1 5.86435- 4 1.03550- 2 1.10000+ 1 1.30000+ 1 1.70690- 3 1.08330- 2 1.10000+ 1 1.40000+ 1 1.03824- 3 1.09514- 2 1.10000+ 1 1.60000+ 1 2.79484- 3 1.26649- 2 1.10000+ 1 1.80000+ 1 5.09939- 5 1.27922- 2 1.10000+ 1 1.90000+ 1 2.16817- 4 1.29315- 2 1.10000+ 1 2.10000+ 1 1.58161- 4 1.31409- 2 1.10000+ 1 2.20000+ 1 7.59135- 5 1.31670- 2 1.10000+ 1 2.40000+ 1 1.34772- 4 1.34410- 2 1.10000+ 1 2.50000+ 1 1.13304- 4 1.34472- 2 1.10000+ 1 2.70000+ 1 5.68026- 4 1.34552- 2 1.10000+ 1 2.90000+ 1 1.01604- 5 1.35008- 2 1.10000+ 1 3.00000+ 1 4.02586- 5 1.35290- 2 1.10000+ 1 3.20000+ 1 1.82119- 5 1.35943- 2 1.10000+ 1 3.30000+ 1 8.24382- 6 1.35980- 2 1.30000+ 1 1.30000+ 1 7.12557- 4 1.13110- 2 1.30000+ 1 1.40000+ 1 2.07854- 2 1.14294- 2 1.30000+ 1 1.60000+ 1 1.86256- 3 1.31429- 2 1.30000+ 1 1.80000+ 1 2.00335- 4 1.32702- 2 1.30000+ 1 1.90000+ 1 4.62966- 4 1.34095- 2 1.30000+ 1 2.10000+ 1 3.11517- 4 1.36189- 2 1.30000+ 1 2.20000+ 1 3.22316- 3 1.36450- 2 1.30000+ 1 2.40000+ 1 2.46912- 4 1.39190- 2 1.30000+ 1 2.50000+ 1 6.78450- 4 1.39252- 2 1.30000+ 1 2.70000+ 1 3.71142- 4 1.39332- 2 1.30000+ 1 2.90000+ 1 4.19829- 5 1.39788- 2 1.30000+ 1 3.00000+ 1 9.25981- 5 1.40070- 2 1.30000+ 1 3.20000+ 1 4.25589- 5 1.40723- 2 1.30000+ 1 3.30000+ 1 4.03730- 4 1.40760- 2 1.40000+ 1 1.40000+ 1 5.72702- 3 1.15478- 2 1.40000+ 1 1.60000+ 1 2.39515- 3 1.32613- 2 1.40000+ 1 1.80000+ 1 1.16193- 3 1.33886- 2 1.40000+ 1 1.90000+ 1 2.85071- 4 1.35279- 2 1.40000+ 1 2.10000+ 1 3.11309- 3 1.37373- 2 1.40000+ 1 2.20000+ 1 1.87567- 3 1.37634- 2 1.40000+ 1 2.40000+ 1 7.46871- 4 1.40374- 2 1.40000+ 1 2.50000+ 1 5.61703- 4 1.40436- 2 1.40000+ 1 2.70000+ 1 4.80038- 4 1.40516- 2 1.40000+ 1 2.90000+ 1 2.29095- 4 1.40972- 2 1.40000+ 1 3.00000+ 1 5.75122- 5 1.41254- 2 1.40000+ 1 3.20000+ 1 3.96064- 4 1.41907- 2 1.40000+ 1 3.30000+ 1 2.37715- 4 1.41944- 2 1.60000+ 1 1.60000+ 1 2.31772- 4 1.49747- 2 1.60000+ 1 1.80000+ 1 4.56444- 4 1.51021- 2 1.60000+ 1 1.90000+ 1 6.82467- 4 1.52414- 2 1.60000+ 1 2.10000+ 1 4.19067- 4 1.54508- 2 1.60000+ 1 2.20000+ 1 5.31219- 4 1.54768- 2 1.60000+ 1 2.40000+ 1 2.99057- 5 1.57509- 2 1.60000+ 1 2.50000+ 1 3.10566- 5 1.57571- 2 1.60000+ 1 2.70000+ 1 9.92992- 5 1.57650- 2 1.60000+ 1 2.90000+ 1 9.22057- 5 1.58106- 2 1.60000+ 1 3.00000+ 1 1.33620- 4 1.58388- 2 1.60000+ 1 3.20000+ 1 5.75115- 5 1.59042- 2 1.60000+ 1 3.30000+ 1 7.11214- 5 1.59078- 2 1.80000+ 1 1.90000+ 1 1.03522- 5 1.53687- 2 1.80000+ 1 2.10000+ 1 3.46983- 5 1.55781- 2 1.80000+ 1 2.20000+ 1 1.72336- 4 1.56042- 2 1.80000+ 1 2.40000+ 1 1.20781- 5 1.58782- 2 1.80000+ 1 2.50000+ 1 4.79263- 5 1.58844- 2 1.80000+ 1 2.70000+ 1 9.31688- 5 1.58924- 2 1.80000+ 1 3.00000+ 1 1.91715- 6 1.59662- 2 1.80000+ 1 3.20000+ 1 4.60094- 6 1.60315- 2 1.80000+ 1 3.30000+ 1 2.14703- 5 1.60352- 2 1.90000+ 1 1.90000+ 1 1.91720- 5 1.55081- 2 1.90000+ 1 2.10000+ 1 4.79274- 5 1.57175- 2 1.90000+ 1 2.20000+ 1 2.60726- 5 1.57435- 2 1.90000+ 1 2.40000+ 1 2.85645- 5 1.60175- 2 1.90000+ 1 2.50000+ 1 2.33888- 5 1.60237- 2 1.90000+ 1 2.70000+ 1 1.38803- 4 1.60317- 2 1.90000+ 1 2.90000+ 1 2.10878- 6 1.60773- 2 1.90000+ 1 3.00000+ 1 7.09333- 6 1.61055- 2 1.90000+ 1 3.20000+ 1 5.75130- 6 1.61709- 2 1.90000+ 1 3.30000+ 1 3.06734- 6 1.61745- 2 2.10000+ 1 2.10000+ 1 3.14403- 5 1.59269- 2 2.10000+ 1 2.20000+ 1 5.28732- 4 1.59529- 2 2.10000+ 1 2.40000+ 1 3.71920- 5 1.62269- 2 2.10000+ 1 2.50000+ 1 7.74498- 5 1.62331- 2 2.10000+ 1 2.70000+ 1 8.35866- 5 1.62411- 2 2.10000+ 1 2.90000+ 1 7.09332- 6 1.62867- 2 2.10000+ 1 3.00000+ 1 9.77668- 6 1.63149- 2 2.10000+ 1 3.20000+ 1 8.43545- 6 1.63803- 2 2.10000+ 1 3.30000+ 1 6.72904- 5 1.63839- 2 2.20000+ 1 2.20000+ 1 1.64869- 4 1.59789- 2 2.20000+ 1 2.40000+ 1 9.02881- 5 1.62530- 2 2.20000+ 1 2.50000+ 1 7.55320- 5 1.62592- 2 2.20000+ 1 2.70000+ 1 1.06203- 4 1.62671- 2 2.20000+ 1 2.90000+ 1 3.41237- 5 1.63127- 2 2.20000+ 1 3.00000+ 1 5.36775- 6 1.63409- 2 2.20000+ 1 3.20000+ 1 6.82476- 5 1.64063- 2 2.20000+ 1 3.30000+ 1 4.21762- 5 1.64099- 2 2.40000+ 1 2.40000+ 1 1.04503- 6 1.65270- 2 2.40000+ 1 2.50000+ 1 2.04832- 5 1.65332- 2 2.40000+ 1 2.70000+ 1 6.27057- 6 1.65412- 2 2.40000+ 1 2.90000+ 1 2.29918- 6 1.65868- 2 2.40000+ 1 3.00000+ 1 5.85247- 6 1.66150- 2 2.40000+ 1 3.20000+ 1 5.22547- 6 1.66803- 2 2.40000+ 1 3.30000+ 1 1.17058- 5 1.66840- 2 2.50000+ 1 2.50000+ 1 4.81724- 6 1.65394- 2 2.50000+ 1 2.70000+ 1 7.11117- 6 1.65474- 2 2.50000+ 1 2.90000+ 1 1.05521- 5 1.65930- 2 2.50000+ 1 3.00000+ 1 5.27610- 6 1.66212- 2 2.50000+ 1 3.20000+ 1 1.12404- 5 1.66865- 2 2.50000+ 1 3.30000+ 1 1.10108- 5 1.66902- 2 2.70000+ 1 2.70000+ 1 1.57005- 5 1.65553- 2 2.70000+ 1 2.90000+ 1 2.79735- 5 1.66009- 2 2.70000+ 1 3.00000+ 1 4.05340- 5 1.66291- 2 2.70000+ 1 3.20000+ 1 1.71269- 5 1.66945- 2 2.70000+ 1 3.30000+ 1 2.11246- 5 1.66981- 2 2.90000+ 1 3.00000+ 1 6.77319- 7 1.66747- 2 2.90000+ 1 3.20000+ 1 1.69323- 6 1.67401- 2 2.90000+ 1 3.30000+ 1 7.45081- 6 1.67438- 2 3.00000+ 1 3.00000+ 1 1.14173- 6 1.67030- 2 3.00000+ 1 3.20000+ 1 2.28342- 6 1.67683- 2 3.00000+ 1 3.30000+ 1 1.14173- 6 1.67720- 2 3.20000+ 1 3.20000+ 1 5.82016- 7 1.68337- 2 3.20000+ 1 3.30000+ 1 8.73035- 6 1.68373- 2 3.30000+ 1 3.30000+ 1 2.68389- 6 1.68410- 2 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.42510- 5 2.48000- 3 8.00000+ 0 9.22361- 3 1.21694- 2 1.10000+ 1 3.97631- 4 1.30155- 2 1.30000+ 1 3.37160- 1 1.34935- 2 1.60000+ 1 2.40580- 3 1.53254- 2 1.90000+ 1 1.12280- 4 1.55920- 2 2.10000+ 1 7.03941- 2 1.58014- 2 2.40000+ 1 3.25160- 4 1.61015- 2 2.70000+ 1 5.35061- 4 1.61157- 2 3.00000+ 1 2.31910- 5 1.61895- 2 3.20000+ 1 9.95871- 3 1.62548- 2 4.10000+ 1 8.07161- 5 1.62767- 2 4.40000+ 1 1.40610- 6 1.62896- 2 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 4.84218- 3 1.50836- 3 6.00000+ 0 1.80000+ 1 3.57471- 2 1.63570- 3 6.00000+ 0 1.90000+ 1 9.56403- 3 1.77504- 3 6.00000+ 0 2.10000+ 1 3.52403- 2 1.98444- 3 6.00000+ 0 2.20000+ 1 1.20561- 2 2.01046- 3 6.00000+ 0 2.40000+ 1 1.52379- 3 2.28450- 3 6.00000+ 0 2.50000+ 1 2.25886- 3 2.29070- 3 6.00000+ 0 2.70000+ 1 9.91015- 4 2.29866- 3 6.00000+ 0 2.90000+ 1 6.62539- 3 2.34427- 3 6.00000+ 0 3.00000+ 1 1.82613- 3 2.37248- 3 6.00000+ 0 3.20000+ 1 4.63814- 3 2.43784- 3 6.00000+ 0 3.30000+ 1 1.56710- 3 2.44149- 3 8.00000+ 0 8.00000+ 0 5.33620- 4 8.04180- 3 8.00000+ 0 1.00000+ 1 1.93731- 2 8.32920- 3 8.00000+ 0 1.10000+ 1 1.79065- 3 8.88790- 3 8.00000+ 0 1.30000+ 1 3.15404- 3 9.36590- 3 8.00000+ 0 1.40000+ 1 1.63858- 3 9.48430- 3 8.00000+ 0 1.60000+ 1 2.07898- 4 1.11978- 2 8.00000+ 0 1.80000+ 1 3.14885- 3 1.13251- 2 8.00000+ 0 1.90000+ 1 3.90254- 4 1.14644- 2 8.00000+ 0 2.10000+ 1 5.00254- 4 1.16738- 2 8.00000+ 0 2.20000+ 1 2.21767- 4 1.16999- 2 8.00000+ 0 2.40000+ 1 8.70624- 5 1.19739- 2 8.00000+ 0 2.50000+ 1 6.10704- 5 1.19801- 2 8.00000+ 0 2.70000+ 1 4.37467- 5 1.19881- 2 8.00000+ 0 2.90000+ 1 5.83436- 4 1.20337- 2 8.00000+ 0 3.00000+ 1 7.44958- 5 1.20619- 2 8.00000+ 0 3.20000+ 1 6.49705- 5 1.21272- 2 8.00000+ 0 3.30000+ 1 2.72870- 5 1.21309- 2 1.00000+ 1 1.00000+ 1 2.03666- 2 8.61660- 3 1.00000+ 1 1.10000+ 1 5.05158- 2 9.17530- 3 1.00000+ 1 1.30000+ 1 2.60157- 2 9.65330- 3 1.00000+ 1 1.40000+ 1 3.62394- 2 9.77170- 3 1.00000+ 1 1.60000+ 1 5.05158- 3 1.14852- 2 1.00000+ 1 1.80000+ 1 8.43796- 3 1.16125- 2 1.00000+ 1 1.90000+ 1 1.20635- 2 1.17518- 2 1.00000+ 1 2.10000+ 1 5.82232- 3 1.19612- 2 1.00000+ 1 2.20000+ 1 8.09464- 3 1.19873- 2 1.00000+ 1 2.40000+ 1 4.54353- 4 1.22613- 2 1.00000+ 1 2.50000+ 1 3.89372- 4 1.22675- 2 1.00000+ 1 2.70000+ 1 1.13043- 3 1.22755- 2 1.00000+ 1 2.90000+ 1 1.65363- 3 1.23211- 2 1.00000+ 1 3.00000+ 1 2.35273- 3 1.23493- 2 1.00000+ 1 3.20000+ 1 7.98249- 4 1.24146- 2 1.00000+ 1 3.30000+ 1 1.08413- 3 1.24183- 2 1.10000+ 1 1.10000+ 1 1.13183- 3 9.73400- 3 1.10000+ 1 1.30000+ 1 2.28182- 2 1.02120- 2 1.10000+ 1 1.40000+ 1 3.35469- 3 1.03304- 2 1.10000+ 1 1.60000+ 1 3.91113- 4 1.20439- 2 1.10000+ 1 1.80000+ 1 8.34926- 3 1.21712- 2 1.10000+ 1 1.90000+ 1 4.64317- 4 1.23105- 2 1.10000+ 1 2.10000+ 1 4.31232- 3 1.25199- 2 1.10000+ 1 2.20000+ 1 6.11613- 4 1.25460- 2 1.10000+ 1 2.40000+ 1 1.78885- 4 1.28200- 2 1.10000+ 1 2.50000+ 1 9.31257- 5 1.28262- 2 1.10000+ 1 2.70000+ 1 8.40274- 5 1.28342- 2 1.10000+ 1 2.90000+ 1 1.55148- 3 1.28798- 2 1.10000+ 1 3.00000+ 1 8.79276- 5 1.29080- 2 1.10000+ 1 3.20000+ 1 5.73010- 4 1.29733- 2 1.10000+ 1 3.30000+ 1 7.92622- 5 1.29770- 2 1.30000+ 1 1.30000+ 1 2.15965- 2 1.06900- 2 1.30000+ 1 1.40000+ 1 8.51986- 2 1.08084- 2 1.30000+ 1 1.60000+ 1 8.25507- 4 1.25219- 2 1.30000+ 1 1.80000+ 1 4.15587- 3 1.26492- 2 1.30000+ 1 1.90000+ 1 5.03167- 3 1.27885- 2 1.30000+ 1 2.10000+ 1 8.01992- 3 1.29979- 2 1.30000+ 1 2.20000+ 1 1.70669- 2 1.30240- 2 1.30000+ 1 2.40000+ 1 1.57010- 3 1.32980- 2 1.30000+ 1 2.50000+ 1 3.15955- 3 1.33042- 2 1.30000+ 1 2.70000+ 1 1.85376- 4 1.33122- 2 1.30000+ 1 2.90000+ 1 7.73526- 4 1.33578- 2 1.30000+ 1 3.00000+ 1 9.65457- 4 1.33860- 2 1.30000+ 1 3.20000+ 1 1.06815- 3 1.34513- 2 1.30000+ 1 3.30000+ 1 2.24306- 3 1.34550- 2 1.40000+ 1 1.40000+ 1 4.14373- 3 1.09268- 2 1.40000+ 1 1.60000+ 1 3.44351- 4 1.26403- 2 1.40000+ 1 1.80000+ 1 5.10176- 3 1.27676- 2 1.40000+ 1 1.90000+ 1 6.81308- 4 1.29069- 2 1.40000+ 1 2.10000+ 1 1.29826- 2 1.31163- 2 1.40000+ 1 2.20000+ 1 1.51078- 3 1.31424- 2 1.40000+ 1 2.40000+ 1 6.26313- 4 1.34164- 2 1.40000+ 1 2.50000+ 1 2.39090- 4 1.34226- 2 1.40000+ 1 2.70000+ 1 7.36315- 5 1.34306- 2 1.40000+ 1 2.90000+ 1 9.15211- 4 1.34762- 2 1.40000+ 1 3.00000+ 1 1.28639- 4 1.35044- 2 1.40000+ 1 3.20000+ 1 1.66144- 3 1.35697- 2 1.40000+ 1 3.30000+ 1 1.96196- 4 1.35734- 2 1.60000+ 1 1.60000+ 1 1.94904- 5 1.43537- 2 1.60000+ 1 1.80000+ 1 8.25112- 4 1.44811- 2 1.60000+ 1 1.90000+ 1 8.57568- 5 1.46204- 2 1.60000+ 1 2.10000+ 1 1.27338- 4 1.48298- 2 1.60000+ 1 2.20000+ 1 4.63430- 5 1.48558- 2 1.60000+ 1 2.40000+ 1 1.99234- 5 1.51299- 2 1.60000+ 1 2.50000+ 1 1.12613- 5 1.51361- 2 1.60000+ 1 2.70000+ 1 8.22947- 6 1.51440- 2 1.60000+ 1 2.90000+ 1 1.52900- 4 1.51896- 2 1.60000+ 1 3.00000+ 1 1.64584- 5 1.52178- 2 1.60000+ 1 3.20000+ 1 1.64584- 5 1.52832- 2 1.60000+ 1 3.30000+ 1 5.63062- 6 1.52868- 2 1.80000+ 1 1.80000+ 1 8.29913- 4 1.46084- 2 1.80000+ 1 1.90000+ 1 1.99798- 3 1.47477- 2 1.80000+ 1 2.10000+ 1 9.16519- 4 1.49571- 2 1.80000+ 1 2.20000+ 1 1.15130- 3 1.49832- 2 1.80000+ 1 2.40000+ 1 5.97728- 5 1.52572- 2 1.80000+ 1 2.50000+ 1 4.02809- 5 1.52634- 2 1.80000+ 1 2.70000+ 1 1.84952- 4 1.52714- 2 1.80000+ 1 2.90000+ 1 3.21822- 4 1.53170- 2 1.80000+ 1 3.00000+ 1 3.89829- 4 1.53452- 2 1.80000+ 1 3.20000+ 1 1.25606- 4 1.54105- 2 1.80000+ 1 3.30000+ 1 1.54630- 4 1.54142- 2 1.90000+ 1 1.90000+ 1 4.76462- 5 1.48871- 2 1.90000+ 1 2.10000+ 1 9.58103- 4 1.50965- 2 1.90000+ 1 2.20000+ 1 1.26047- 4 1.51225- 2 1.90000+ 1 2.40000+ 1 3.42173- 5 1.53965- 2 1.90000+ 1 2.50000+ 1 1.64592- 5 1.54027- 2 1.90000+ 1 2.70000+ 1 1.86253- 5 1.54107- 2 1.90000+ 1 2.90000+ 1 3.71208- 4 1.54563- 2 1.90000+ 1 3.00000+ 1 1.81913- 5 1.54845- 2 1.90000+ 1 3.20000+ 1 1.27345- 4 1.55499- 2 1.90000+ 1 3.30000+ 1 1.64592- 5 1.55535- 2 2.10000+ 1 2.10000+ 1 7.38476- 4 1.53059- 2 2.10000+ 1 2.20000+ 1 2.71045- 3 1.53319- 2 2.10000+ 1 2.40000+ 1 1.99667- 4 1.56059- 2 2.10000+ 1 2.50000+ 1 4.05411- 4 1.56121- 2 2.10000+ 1 2.70000+ 1 2.85863- 5 1.56201- 2 2.10000+ 1 2.90000+ 1 1.69795- 4 1.56657- 2 2.10000+ 1 3.00000+ 1 1.84093- 4 1.56939- 2 2.10000+ 1 3.20000+ 1 1.96195- 4 1.57593- 2 2.10000+ 1 3.30000+ 1 3.58627- 4 1.57629- 2 2.20000+ 1 2.20000+ 1 1.39035- 4 1.53579- 2 2.20000+ 1 2.40000+ 1 8.66233- 5 1.56320- 2 2.20000+ 1 2.50000+ 1 3.37833- 5 1.56382- 2 2.20000+ 1 2.70000+ 1 9.96217- 6 1.56461- 2 2.20000+ 1 2.90000+ 1 2.07039- 4 1.56917- 2 2.20000+ 1 3.00000+ 1 2.38219- 5 1.57199- 2 2.20000+ 1 3.20000+ 1 3.49107- 4 1.57853- 2 2.20000+ 1 3.30000+ 1 3.59494- 5 1.57889- 2 2.40000+ 1 2.40000+ 1 4.76455- 6 1.59060- 2 2.40000+ 1 2.50000+ 1 3.24847- 5 1.59122- 2 2.40000+ 1 2.70000+ 1 4.33142- 6 1.59202- 2 2.40000+ 1 2.90000+ 1 1.08285- 5 1.59658- 2 2.40000+ 1 3.00000+ 1 6.49714- 6 1.59940- 2 2.40000+ 1 3.20000+ 1 2.46883- 5 1.60593- 2 2.40000+ 1 3.30000+ 1 1.08285- 5 1.60630- 2 2.50000+ 1 2.50000+ 1 2.16560- 6 1.59184- 2 2.50000+ 1 2.70000+ 1 2.16560- 6 1.59264- 2 2.50000+ 1 2.90000+ 1 6.93041- 6 1.59720- 2 2.50000+ 1 3.00000+ 1 3.03183- 6 1.60002- 2 2.50000+ 1 3.20000+ 1 5.02432- 5 1.60655- 2 2.50000+ 1 3.30000+ 1 4.33139- 6 1.60692- 2 2.70000+ 1 2.70000+ 1 8.61770- 7 1.59343- 2 2.70000+ 1 2.90000+ 1 3.40400- 5 1.59799- 2 2.70000+ 1 3.00000+ 1 3.44727- 6 1.60081- 2 2.70000+ 1 3.20000+ 1 3.44727- 6 1.60735- 2 2.70000+ 1 3.30000+ 1 1.29275- 6 1.60771- 2 2.90000+ 1 2.90000+ 1 3.08354- 5 1.60255- 2 2.90000+ 1 3.00000+ 1 7.15190- 5 1.60537- 2 2.90000+ 1 3.20000+ 1 2.31267- 5 1.61191- 2 2.90000+ 1 3.30000+ 1 2.74092- 5 1.61228- 2 3.00000+ 1 3.00000+ 1 1.78546- 6 1.60820- 2 3.00000+ 1 3.20000+ 1 2.54430- 5 1.61473- 2 3.00000+ 1 3.30000+ 1 3.12454- 6 1.61510- 2 3.20000+ 1 3.20000+ 1 1.29944- 5 1.62127- 2 3.20000+ 1 3.30000+ 1 4.63436- 5 1.62163- 2 3.30000+ 1 3.30000+ 1 2.55080- 6 1.62200- 2 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.68141- 2 9.68940- 3 1.00000+ 1 1.86501- 4 9.97680- 3 1.10000+ 1 1.68661- 4 1.05355- 2 1.30000+ 1 2.93981- 2 1.10135- 2 1.40000+ 1 2.58731- 1 1.11319- 2 1.60000+ 1 3.90222- 3 1.28454- 2 1.80000+ 1 4.21452- 5 1.29727- 2 1.90000+ 1 4.37582- 5 1.31120- 2 2.10000+ 1 5.59743- 3 1.33214- 2 2.20000+ 1 5.07262- 2 1.33475- 2 2.40000+ 1 4.93882- 5 1.36215- 2 2.50000+ 1 2.75191- 4 1.36277- 2 2.70000+ 1 8.73494- 4 1.36357- 2 2.90000+ 1 8.87004- 6 1.36813- 2 3.00000+ 1 9.38665- 6 1.37095- 2 3.20000+ 1 7.79054- 4 1.37748- 2 3.30000+ 1 6.97283- 3 1.37785- 2 4.10000+ 1 1.29581- 4 1.37967- 2 4.30000+ 1 6.02093- 7 1.38067- 2 4.40000+ 1 5.37213- 7 1.38096- 2 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 6.44730- 4 5.56180- 3 8.00000+ 0 1.00000+ 1 3.14370- 4 5.84920- 3 8.00000+ 0 1.10000+ 1 2.01900- 2 6.40790- 3 8.00000+ 0 1.30000+ 1 2.65718- 3 6.88590- 3 8.00000+ 0 1.40000+ 1 4.68104- 3 7.00430- 3 8.00000+ 0 1.60000+ 1 2.53393- 4 8.71776- 3 8.00000+ 0 1.80000+ 1 5.57822- 5 8.84510- 3 8.00000+ 0 1.90000+ 1 3.20517- 3 8.98444- 3 8.00000+ 0 2.10000+ 1 2.87556- 4 9.19384- 3 8.00000+ 0 2.20000+ 1 4.69614- 4 9.21986- 3 8.00000+ 0 2.40000+ 1 2.49947- 4 9.49390- 3 8.00000+ 0 2.50000+ 1 4.37179- 4 9.50010- 3 8.00000+ 0 2.70000+ 1 5.31872- 5 9.50806- 3 8.00000+ 0 2.90000+ 1 1.03780- 5 9.55367- 3 8.00000+ 0 3.00000+ 1 5.75987- 4 9.58188- 3 8.00000+ 0 3.20000+ 1 3.45942- 5 9.64724- 3 8.00000+ 0 3.30000+ 1 5.40512- 5 9.65089- 3 1.00000+ 1 1.00000+ 1 2.29189- 5 6.13660- 3 1.00000+ 1 1.10000+ 1 3.38738- 2 6.69530- 3 1.00000+ 1 1.30000+ 1 1.55282- 3 7.17330- 3 1.00000+ 1 1.40000+ 1 1.29124- 2 7.29170- 3 1.00000+ 1 1.60000+ 1 6.52976- 5 9.00516- 3 1.00000+ 1 1.80000+ 1 1.42700- 5 9.13250- 3 1.00000+ 1 1.90000+ 1 5.58849- 3 9.27184- 3 1.00000+ 1 2.10000+ 1 3.00086- 4 9.48124- 3 1.00000+ 1 2.20000+ 1 2.06774- 3 9.50726- 3 1.00000+ 1 2.40000+ 1 2.38255- 4 9.78130- 3 1.00000+ 1 2.50000+ 1 5.91970- 4 9.78750- 3 1.00000+ 1 2.70000+ 1 1.42700- 5 9.79546- 3 1.00000+ 1 2.90000+ 1 3.02688- 6 9.84107- 3 1.00000+ 1 3.00000+ 1 1.01137- 3 9.86928- 3 1.00000+ 1 3.20000+ 1 4.06467- 5 9.93464- 3 1.00000+ 1 3.30000+ 1 2.62915- 4 9.93829- 3 1.10000+ 1 1.10000+ 1 4.21817- 2 7.25400- 3 1.10000+ 1 1.30000+ 1 4.41957- 2 7.73200- 3 1.10000+ 1 1.40000+ 1 5.89211- 2 7.85040- 3 1.10000+ 1 1.60000+ 1 5.17744- 3 9.56386- 3 1.10000+ 1 1.80000+ 1 7.80111- 3 9.69120- 3 1.10000+ 1 1.90000+ 1 1.68616- 2 9.83054- 3 1.10000+ 1 2.10000+ 1 9.30353- 3 1.00399- 2 1.10000+ 1 2.20000+ 1 1.22495- 2 1.00660- 2 1.10000+ 1 2.40000+ 1 8.64827- 4 1.03400- 2 1.10000+ 1 2.50000+ 1 1.05898- 3 1.03462- 2 1.10000+ 1 2.70000+ 1 1.15463- 3 1.03542- 2 1.10000+ 1 2.90000+ 1 1.55675- 3 1.03998- 2 1.10000+ 1 3.00000+ 1 3.18916- 3 1.04280- 2 1.10000+ 1 3.20000+ 1 1.26397- 3 1.04933- 2 1.10000+ 1 3.30000+ 1 1.62110- 3 1.04970- 2 1.30000+ 1 1.30000+ 1 6.05387- 3 8.21000- 3 1.30000+ 1 1.40000+ 1 1.13224- 1 8.32840- 3 1.30000+ 1 1.60000+ 1 6.42161- 4 1.00419- 2 1.30000+ 1 1.80000+ 1 3.80091- 4 1.01692- 2 1.30000+ 1 1.90000+ 1 6.62858- 3 1.03085- 2 1.30000+ 1 2.10000+ 1 2.15513- 3 1.05179- 2 1.30000+ 1 2.20000+ 1 1.68620- 2 1.05440- 2 1.30000+ 1 2.40000+ 1 4.73929- 4 1.08180- 2 1.30000+ 1 2.50000+ 1 1.60168- 3 1.08242- 2 1.30000+ 1 2.70000+ 1 1.42263- 4 1.08322- 2 1.30000+ 1 2.90000+ 1 7.65385- 5 1.08778- 2 1.30000+ 1 3.00000+ 1 1.17664- 3 1.09060- 2 1.30000+ 1 3.20000+ 1 2.85825- 4 1.09713- 2 1.30000+ 1 3.30000+ 1 2.10757- 3 1.09750- 2 1.40000+ 1 1.40000+ 1 7.52171- 2 8.44680- 3 1.40000+ 1 1.60000+ 1 1.14542- 3 1.01603- 2 1.40000+ 1 1.80000+ 1 2.69212- 3 1.02876- 2 1.40000+ 1 1.90000+ 1 9.94954- 3 1.04269- 2 1.40000+ 1 2.10000+ 1 2.03540- 2 1.06363- 2 1.40000+ 1 2.20000+ 1 2.56490- 2 1.06624- 2 1.40000+ 1 2.40000+ 1 4.99723- 3 1.09364- 2 1.40000+ 1 2.50000+ 1 4.53665- 3 1.09426- 2 1.40000+ 1 2.70000+ 1 2.55557- 4 1.09506- 2 1.40000+ 1 2.90000+ 1 5.26675- 4 1.09962- 2 1.40000+ 1 3.00000+ 1 1.82219- 3 1.10244- 2 1.40000+ 1 3.20000+ 1 2.69251- 3 1.10897- 2 1.40000+ 1 3.30000+ 1 3.29272- 3 1.10934- 2 1.60000+ 1 1.60000+ 1 2.55119- 5 1.18737- 2 1.60000+ 1 1.80000+ 1 1.25400- 5 1.20011- 2 1.60000+ 1 1.90000+ 1 8.22470- 4 1.21404- 2 1.60000+ 1 2.10000+ 1 7.56765- 5 1.23498- 2 1.60000+ 1 2.20000+ 1 1.23234- 4 1.23758- 2 1.60000+ 1 2.40000+ 1 3.32957- 5 1.26499- 2 1.60000+ 1 2.50000+ 1 6.57287- 5 1.26561- 2 1.60000+ 1 2.70000+ 1 1.08109- 5 1.26640- 2 1.60000+ 1 2.90000+ 1 2.59438- 6 1.27096- 2 1.60000+ 1 3.00000+ 1 1.47893- 4 1.27378- 2 1.60000+ 1 3.20000+ 1 9.08065- 6 1.28032- 2 1.60000+ 1 3.30000+ 1 1.42700- 5 1.28068- 2 1.80000+ 1 1.80000+ 1 8.64801- 7 1.21284- 2 1.80000+ 1 1.90000+ 1 1.27952- 3 1.22677- 2 1.80000+ 1 2.10000+ 1 6.87550- 5 1.24771- 2 1.80000+ 1 2.20000+ 1 4.62680- 4 1.25032- 2 1.80000+ 1 2.40000+ 1 3.54591- 5 1.27772- 2 1.80000+ 1 2.50000+ 1 8.30230- 5 1.27834- 2 1.80000+ 1 2.70000+ 1 2.59439- 6 1.27914- 2 1.80000+ 1 2.90000+ 1 4.32420- 7 1.28370- 2 1.80000+ 1 3.00000+ 1 2.31355- 4 1.28652- 2 1.80000+ 1 3.20000+ 1 9.08070- 6 1.29305- 2 1.80000+ 1 3.30000+ 1 5.92421- 5 1.29342- 2 1.90000+ 1 1.90000+ 1 1.61251- 3 1.24071- 2 1.90000+ 1 2.10000+ 1 1.39839- 3 1.26165- 2 1.90000+ 1 2.20000+ 1 2.03666- 3 1.26425- 2 1.90000+ 1 2.40000+ 1 1.06808- 4 1.29165- 2 1.90000+ 1 2.50000+ 1 1.37506- 4 1.29227- 2 1.90000+ 1 2.70000+ 1 1.83337- 4 1.29307- 2 1.90000+ 1 2.90000+ 1 2.55118- 4 1.29763- 2 1.90000+ 1 3.00000+ 1 6.04523- 4 1.30045- 2 1.90000+ 1 3.20000+ 1 1.89822- 4 1.30699- 2 1.90000+ 1 3.30000+ 1 2.68962- 4 1.30735- 2 2.10000+ 1 2.10000+ 1 1.84213- 4 1.28259- 2 2.10000+ 1 2.20000+ 1 3.17131- 3 1.28519- 2 2.10000+ 1 2.40000+ 1 5.62153- 5 1.31259- 2 2.10000+ 1 2.50000+ 1 1.80321- 4 1.31321- 2 2.10000+ 1 2.70000+ 1 1.68641- 5 1.31401- 2 2.10000+ 1 2.90000+ 1 1.38371- 5 1.31857- 2 2.10000+ 1 3.00000+ 1 2.48210- 4 1.32139- 2 2.10000+ 1 3.20000+ 1 4.84314- 5 1.32793- 2 2.10000+ 1 3.30000+ 1 3.99115- 4 1.32829- 2 2.20000+ 1 2.20000+ 1 2.19926- 3 1.28779- 2 2.20000+ 1 2.40000+ 1 5.82475- 4 1.31520- 2 2.20000+ 1 2.50000+ 1 5.19769- 4 1.31582- 2 2.20000+ 1 2.70000+ 1 2.76752- 5 1.31661- 2 2.20000+ 1 2.90000+ 1 9.16768- 5 1.32117- 2 2.20000+ 1 3.00000+ 1 3.71456- 4 1.32399- 2 2.20000+ 1 3.20000+ 1 4.22473- 4 1.33053- 2 2.20000+ 1 3.30000+ 1 5.64738- 4 1.33089- 2 2.40000+ 1 2.40000+ 1 2.25076- 6 1.34260- 2 2.40000+ 1 2.50000+ 1 7.38303- 5 1.34322- 2 2.40000+ 1 2.70000+ 1 6.75227- 6 1.34402- 2 2.40000+ 1 2.90000+ 1 6.75227- 6 1.34858- 2 2.40000+ 1 3.00000+ 1 1.89066- 5 1.35140- 2 2.40000+ 1 3.20000+ 1 7.20272- 6 1.35793- 2 2.40000+ 1 3.30000+ 1 7.24760- 5 1.35830- 2 2.50000+ 1 2.50000+ 1 2.50799- 5 1.34384- 2 2.50000+ 1 2.70000+ 1 1.34051- 5 1.34464- 2 2.50000+ 1 2.90000+ 1 1.51350- 5 1.34920- 2 2.50000+ 1 3.00000+ 1 2.37830- 5 1.35202- 2 2.50000+ 1 3.20000+ 1 2.20530- 5 1.35855- 2 2.50000+ 1 3.30000+ 1 6.18349- 5 1.35892- 2 2.70000+ 1 2.70000+ 1 1.55939- 6 1.34543- 2 2.70000+ 1 2.90000+ 1 5.19778- 7 1.34999- 2 2.70000+ 1 3.00000+ 1 3.95020- 5 1.35281- 2 2.70000+ 1 3.20000+ 1 2.59878- 6 1.35935- 2 2.70000+ 1 3.30000+ 1 4.15828- 6 1.35971- 2 2.90000+ 1 3.00000+ 1 5.90923- 5 1.35737- 2 2.90000+ 1 3.20000+ 1 2.20900- 6 1.36391- 2 2.90000+ 1 3.30000+ 1 1.49111- 5 1.36428- 2 3.00000+ 1 3.00000+ 1 7.29786- 5 1.36020- 2 3.00000+ 1 3.20000+ 1 4.34519- 5 1.36673- 2 3.00000+ 1 3.30000+ 1 6.29503- 5 1.36710- 2 3.20000+ 1 3.20000+ 1 3.02692- 6 1.37327- 2 3.20000+ 1 3.30000+ 1 5.31874- 5 1.37363- 2 3.30000+ 1 3.30000+ 1 3.63232- 5 1.37400- 2 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.02800- 5 2.87400- 4 1.10000+ 1 5.84788- 4 8.46100- 4 1.80000+ 1 1.76509- 3 3.28330- 3 1.90000+ 1 1.27280- 3 3.42264- 3 2.90000+ 1 4.01408- 4 3.99187- 3 3.00000+ 1 3.13589- 4 4.02008- 3 4.30000+ 1 2.88859- 5 4.11735- 3 4.40000+ 1 1.94869- 5 4.12016- 3 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 2.29217- 2 9.19000- 5 1.00000+ 1 2.50000+ 1 3.08463- 2 9.81000- 5 1.00000+ 1 2.70000+ 1 1.24358- 2 1.06060- 4 1.00000+ 1 2.90000+ 1 1.22933- 2 1.51670- 4 1.00000+ 1 3.00000+ 1 1.57734- 2 1.79880- 4 1.00000+ 1 3.20000+ 1 7.58040- 3 2.45240- 4 1.00000+ 1 3.30000+ 1 1.00308- 2 2.48890- 4 1.00000+ 1 4.10000+ 1 1.65793- 3 2.67070- 4 1.00000+ 1 4.30000+ 1 7.47385- 4 2.77150- 4 1.00000+ 1 4.40000+ 1 8.12568- 4 2.79960- 4 1.10000+ 1 1.80000+ 1 5.50420- 2 1.80000- 6 1.10000+ 1 1.90000+ 1 5.41879- 2 1.41140- 4 1.10000+ 1 2.10000+ 1 1.58595- 2 3.50540- 4 1.10000+ 1 2.20000+ 1 2.89868- 2 3.76560- 4 1.10000+ 1 2.40000+ 1 1.81632- 1 6.50600- 4 1.10000+ 1 2.50000+ 1 2.23519- 1 6.56800- 4 1.10000+ 1 2.70000+ 1 1.08364- 2 6.64760- 4 1.10000+ 1 2.90000+ 1 1.05092- 2 7.10370- 4 1.10000+ 1 3.00000+ 1 1.02831- 2 7.38580- 4 1.10000+ 1 3.20000+ 1 2.17769- 3 8.03940- 4 1.10000+ 1 3.30000+ 1 3.98921- 3 8.07590- 4 1.10000+ 1 4.10000+ 1 1.46890- 3 8.25770- 4 1.10000+ 1 4.30000+ 1 6.52631- 4 8.35850- 4 1.10000+ 1 4.40000+ 1 5.43039- 4 8.38660- 4 1.30000+ 1 1.60000+ 1 2.56014- 2 3.52460- 4 1.30000+ 1 1.80000+ 1 5.53500- 3 4.79800- 4 1.30000+ 1 1.90000+ 1 7.39743- 3 6.19140- 4 1.30000+ 1 2.10000+ 1 8.80305- 3 8.28540- 4 1.30000+ 1 2.20000+ 1 1.08022- 2 8.54560- 4 1.30000+ 1 2.40000+ 1 9.27549- 3 1.12860- 3 1.30000+ 1 2.50000+ 1 8.58319- 3 1.13480- 3 1.30000+ 1 2.70000+ 1 3.61803- 3 1.14276- 3 1.30000+ 1 2.90000+ 1 8.67666- 4 1.18837- 3 1.30000+ 1 3.00000+ 1 1.08611- 3 1.21658- 3 1.30000+ 1 3.20000+ 1 9.86449- 4 1.28194- 3 1.30000+ 1 3.30000+ 1 1.28385- 3 1.28559- 3 1.30000+ 1 4.10000+ 1 4.59877- 4 1.30377- 3 1.30000+ 1 4.30000+ 1 5.33441- 5 1.31385- 3 1.30000+ 1 4.40000+ 1 5.56793- 5 1.31666- 3 1.40000+ 1 1.60000+ 1 3.55117- 2 4.70860- 4 1.40000+ 1 1.80000+ 1 9.12326- 4 5.98200- 4 1.40000+ 1 1.90000+ 1 1.12079- 2 7.37540- 4 1.40000+ 1 2.10000+ 1 1.21839- 2 9.46940- 4 1.40000+ 1 2.20000+ 1 1.71292- 2 9.72960- 4 1.40000+ 1 2.40000+ 1 1.06498- 2 1.24700- 3 1.40000+ 1 2.50000+ 1 1.64235- 2 1.25320- 3 1.40000+ 1 2.70000+ 1 4.95254- 3 1.26116- 3 1.40000+ 1 2.90000+ 1 1.81209- 4 1.30677- 3 1.40000+ 1 3.00000+ 1 1.62948- 3 1.33498- 3 1.40000+ 1 3.20000+ 1 1.49307- 3 1.40034- 3 1.40000+ 1 3.30000+ 1 1.96097- 3 1.40399- 3 1.40000+ 1 4.10000+ 1 6.28679- 4 1.42217- 3 1.40000+ 1 4.30000+ 1 1.16855- 5 1.43225- 3 1.40000+ 1 4.40000+ 1 8.35884- 5 1.43506- 3 1.60000+ 1 1.60000+ 1 2.37340- 3 2.18432- 3 1.60000+ 1 1.80000+ 1 4.16124- 3 2.31166- 3 1.60000+ 1 1.90000+ 1 6.76560- 3 2.45100- 3 1.60000+ 1 2.10000+ 1 7.94028- 3 2.66040- 3 1.60000+ 1 2.20000+ 1 1.11283- 2 2.68642- 3 1.60000+ 1 2.40000+ 1 5.79673- 3 2.96046- 3 1.60000+ 1 2.50000+ 1 7.24997- 3 2.96666- 3 1.60000+ 1 2.70000+ 1 8.62313- 4 2.97462- 3 1.60000+ 1 2.90000+ 1 8.36703- 4 3.02023- 3 1.60000+ 1 3.00000+ 1 1.31836- 3 3.04844- 3 1.60000+ 1 3.20000+ 1 1.06570- 3 3.11380- 3 1.60000+ 1 3.30000+ 1 1.45984- 3 3.11745- 3 1.60000+ 1 4.10000+ 1 1.15945- 4 3.13563- 3 1.60000+ 1 4.30000+ 1 5.31054- 5 3.14571- 3 1.60000+ 1 4.40000+ 1 7.03549- 5 3.14852- 3 1.80000+ 1 1.80000+ 1 1.72124- 4 2.43900- 3 1.80000+ 1 1.90000+ 1 5.11107- 4 2.57834- 3 1.80000+ 1 2.10000+ 1 2.61088- 4 2.78774- 3 1.80000+ 1 2.20000+ 1 1.41044- 4 2.81376- 3 1.80000+ 1 2.40000+ 1 3.41536- 5 3.08780- 3 1.80000+ 1 2.50000+ 1 4.64830- 4 3.09400- 3 1.80000+ 1 2.70000+ 1 5.76501- 4 3.10196- 3 1.80000+ 1 2.90000+ 1 5.10582- 5 3.14757- 3 1.80000+ 1 3.00000+ 1 7.20621- 5 3.17578- 3 1.80000+ 1 3.20000+ 1 3.03962- 5 3.24114- 3 1.80000+ 1 3.30000+ 1 2.25408- 5 3.24479- 3 1.80000+ 1 4.10000+ 1 7.32547- 5 3.26297- 3 1.80000+ 1 4.30000+ 1 3.07367- 6 3.27305- 3 1.80000+ 1 4.40000+ 1 3.75692- 6 3.27586- 3 1.90000+ 1 1.90000+ 1 5.63503- 4 2.71768- 3 1.90000+ 1 2.10000+ 1 6.02785- 4 2.92708- 3 1.90000+ 1 2.20000+ 1 1.38087- 3 2.95310- 3 1.90000+ 1 2.40000+ 1 6.82022- 4 3.22714- 3 1.90000+ 1 2.50000+ 1 1.12175- 3 3.23334- 3 1.90000+ 1 2.70000+ 1 9.42459- 4 3.24130- 3 1.90000+ 1 2.90000+ 1 8.70866- 5 3.28691- 3 1.90000+ 1 3.00000+ 1 1.84596- 4 3.31512- 3 1.90000+ 1 3.20000+ 1 8.07718- 5 3.38048- 3 1.90000+ 1 3.30000+ 1 1.72463- 4 3.38413- 3 1.90000+ 1 4.10000+ 1 1.20044- 4 3.40231- 3 1.90000+ 1 4.30000+ 1 5.46437- 6 3.41239- 3 1.90000+ 1 4.40000+ 1 9.56252- 6 3.41520- 3 2.10000+ 1 2.10000+ 1 9.53490- 5 3.13648- 3 2.10000+ 1 2.20000+ 1 3.34395- 4 3.16250- 3 2.10000+ 1 2.40000+ 1 4.40223- 4 3.43654- 3 2.10000+ 1 2.50000+ 1 2.88289- 3 3.44274- 3 2.10000+ 1 2.70000+ 1 1.06861- 3 3.45070- 3 2.10000+ 1 2.90000+ 1 3.36413- 5 3.49631- 3 2.10000+ 1 3.00000+ 1 8.99373- 5 3.52452- 3 2.10000+ 1 3.20000+ 1 2.02873- 5 3.58988- 3 2.10000+ 1 3.30000+ 1 3.71931- 5 3.59353- 3 2.10000+ 1 4.10000+ 1 1.35257- 4 3.61171- 3 2.10000+ 1 4.30000+ 1 2.02873- 6 3.62179- 3 2.10000+ 1 4.40000+ 1 4.56454- 6 3.62460- 3 2.20000+ 1 2.20000+ 1 2.34449- 4 3.18852- 3 2.20000+ 1 2.40000+ 1 2.67152- 3 3.46256- 3 2.20000+ 1 2.50000+ 1 1.63868- 3 3.46876- 3 2.20000+ 1 2.70000+ 1 1.50733- 3 3.47672- 3 2.20000+ 1 2.90000+ 1 2.08326- 5 3.52233- 3 2.20000+ 1 3.00000+ 1 2.05250- 4 3.55054- 3 2.20000+ 1 3.20000+ 1 3.48353- 5 3.61590- 3 2.20000+ 1 3.30000+ 1 5.07167- 5 3.61955- 3 2.20000+ 1 4.10000+ 1 1.90576- 4 3.63773- 3 2.20000+ 1 4.30000+ 1 1.19530- 6 3.64781- 3 2.20000+ 1 4.40000+ 1 1.05874- 5 3.65062- 3 2.40000+ 1 2.40000+ 1 6.08267- 4 3.73660- 3 2.40000+ 1 2.50000+ 1 4.03725- 3 3.74280- 3 2.40000+ 1 2.70000+ 1 7.24381- 4 3.75076- 3 2.40000+ 1 2.90000+ 1 5.12283- 6 3.79637- 3 2.40000+ 1 3.00000+ 1 7.34305- 5 3.82458- 3 2.40000+ 1 3.20000+ 1 5.39602- 5 3.88994- 3 2.40000+ 1 3.30000+ 1 3.51429- 4 3.89359- 3 2.40000+ 1 4.10000+ 1 9.05058- 5 3.91177- 3 2.40000+ 1 4.30000+ 1 3.41531- 7 3.92185- 3 2.40000+ 1 4.40000+ 1 3.58595- 6 3.92466- 3 2.50000+ 1 2.50000+ 1 1.37594- 3 3.74900- 3 2.50000+ 1 2.70000+ 1 8.92332- 4 3.75696- 3 2.50000+ 1 2.90000+ 1 8.08568- 5 3.80257- 3 2.50000+ 1 3.00000+ 1 1.28695- 4 3.83078- 3 2.50000+ 1 3.20000+ 1 3.75305- 4 3.89614- 3 2.50000+ 1 3.30000+ 1 2.03994- 4 3.89979- 3 2.50000+ 1 4.10000+ 1 1.11513- 4 3.91797- 3 2.50000+ 1 4.30000+ 1 5.05359- 6 3.92805- 3 2.50000+ 1 4.40000+ 1 6.40123- 6 3.93086- 3 2.70000+ 1 2.70000+ 1 7.86440- 5 3.76492- 3 2.70000+ 1 2.90000+ 1 1.26872- 4 3.81053- 3 2.70000+ 1 3.00000+ 1 1.99583- 4 3.83874- 3 2.70000+ 1 3.20000+ 1 1.58214- 4 3.90410- 3 2.70000+ 1 3.30000+ 1 2.15905- 4 3.90775- 3 2.70000+ 1 4.10000+ 1 2.09595- 5 3.92593- 3 2.70000+ 1 4.30000+ 1 7.97617- 6 3.93601- 3 2.70000+ 1 4.40000+ 1 1.05725- 5 3.93882- 3 2.90000+ 1 2.90000+ 1 5.16017- 6 3.85614- 3 2.90000+ 1 3.00000+ 1 1.64179- 5 3.88435- 3 2.90000+ 1 3.20000+ 1 5.39456- 6 3.94971- 3 2.90000+ 1 3.30000+ 1 4.69104- 6 3.95336- 3 2.90000+ 1 4.10000+ 1 2.04053- 5 3.97154- 3 2.90000+ 1 4.30000+ 1 7.03638- 7 3.98162- 3 2.90000+ 1 4.40000+ 1 9.38157- 7 3.98443- 3 3.00000+ 1 3.00000+ 1 2.01323- 5 3.91256- 3 3.00000+ 1 3.20000+ 1 1.70541- 5 3.97792- 3 3.00000+ 1 3.30000+ 1 3.57655- 5 3.98157- 3 3.00000+ 1 4.10000+ 1 3.24485- 5 3.99975- 3 3.00000+ 1 4.30000+ 1 9.47402- 7 4.00983- 3 3.00000+ 1 4.40000+ 1 2.13175- 6 4.01264- 3 3.20000+ 1 3.20000+ 1 1.11232- 6 4.04328- 3 3.20000+ 1 3.30000+ 1 4.26401- 6 4.04693- 3 3.20000+ 1 4.10000+ 1 2.00226- 5 4.06511- 3 3.20000+ 1 4.30000+ 1 1.85396- 7 4.07519- 3 3.20000+ 1 4.40000+ 1 7.41545- 7 4.07800- 3 3.30000+ 1 3.30000+ 1 2.68875- 6 4.05058- 3 3.30000+ 1 4.10000+ 1 2.63507- 5 4.06876- 3 3.30000+ 1 4.30000+ 1 1.79256- 7 4.07884- 3 3.30000+ 1 4.40000+ 1 1.43415- 6 4.08165- 3 4.10000+ 1 4.10000+ 1 1.19528- 6 4.08694- 3 4.10000+ 1 4.30000+ 1 1.02452- 6 4.09702- 3 4.10000+ 1 4.40000+ 1 1.19528- 6 4.09983- 3 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.18350- 3 1.03670- 3 1.60000+ 1 8.02252- 4 2.86856- 3 2.10000+ 1 4.23881- 3 3.34464- 3 2.70000+ 1 1.83540- 4 3.65886- 3 3.20000+ 1 7.11612- 4 3.79804- 3 4.10000+ 1 2.72901- 5 3.81987- 3 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 5.90826- 3 6.31400- 5 1.10000+ 1 2.20000+ 1 1.45488- 2 8.91600- 5 1.10000+ 1 2.40000+ 1 2.85059- 2 3.63200- 4 1.10000+ 1 2.50000+ 1 2.53206- 2 3.69400- 4 1.10000+ 1 2.70000+ 1 3.09545- 3 3.77360- 4 1.10000+ 1 2.90000+ 1 4.04133- 3 4.22970- 4 1.10000+ 1 3.00000+ 1 2.35403- 3 4.51180- 4 1.10000+ 1 3.20000+ 1 1.08963- 3 5.16540- 4 1.10000+ 1 3.30000+ 1 2.19690- 3 5.20190- 4 1.10000+ 1 4.10000+ 1 4.00859- 4 5.38370- 4 1.10000+ 1 4.30000+ 1 2.35241- 4 5.48450- 4 1.10000+ 1 4.40000+ 1 1.18205- 4 5.51260- 4 1.30000+ 1 1.60000+ 1 4.82608- 2 6.50600- 5 1.30000+ 1 1.80000+ 1 4.92926- 2 1.92400- 4 1.30000+ 1 1.90000+ 1 4.26218- 2 3.31740- 4 1.30000+ 1 2.10000+ 1 1.77385- 2 5.41140- 4 1.30000+ 1 2.20000+ 1 2.32369- 2 5.67160- 4 1.30000+ 1 2.40000+ 1 1.43178- 1 8.41200- 4 1.30000+ 1 2.50000+ 1 2.22138- 1 8.47400- 4 1.30000+ 1 2.70000+ 1 1.05015- 2 8.55360- 4 1.30000+ 1 2.90000+ 1 8.27896- 3 9.00970- 4 1.30000+ 1 3.00000+ 1 7.97399- 3 9.29180- 4 1.30000+ 1 3.20000+ 1 2.49029- 3 9.94540- 4 1.30000+ 1 3.30000+ 1 3.33582- 3 9.98190- 4 1.30000+ 1 4.10000+ 1 1.43229- 3 1.01637- 3 1.30000+ 1 4.30000+ 1 5.11280- 4 1.02645- 3 1.30000+ 1 4.40000+ 1 4.21017- 4 1.02926- 3 1.40000+ 1 1.60000+ 1 7.60117- 3 1.83460- 4 1.40000+ 1 1.80000+ 1 5.56014- 2 3.10800- 4 1.40000+ 1 1.90000+ 1 4.74796- 3 4.50140- 4 1.40000+ 1 2.10000+ 1 1.14803- 3 6.59540- 4 1.40000+ 1 2.20000+ 1 2.69268- 3 6.85560- 4 1.40000+ 1 2.40000+ 1 6.33080- 3 9.59600- 4 1.40000+ 1 2.50000+ 1 4.18174- 3 9.65800- 4 1.40000+ 1 2.70000+ 1 1.10421- 3 9.73760- 4 1.40000+ 1 2.90000+ 1 7.27190- 3 1.01937- 3 1.40000+ 1 3.00000+ 1 7.81586- 4 1.04758- 3 1.40000+ 1 3.20000+ 1 7.55317- 5 1.11294- 3 1.40000+ 1 3.30000+ 1 3.26683- 4 1.11659- 3 1.40000+ 1 4.10000+ 1 1.41753- 4 1.13477- 3 1.40000+ 1 4.30000+ 1 4.31168- 4 1.14485- 3 1.40000+ 1 4.40000+ 1 4.06451- 5 1.14766- 3 1.60000+ 1 1.60000+ 1 6.97251- 4 1.89692- 3 1.60000+ 1 1.80000+ 1 1.03571- 2 2.02426- 3 1.60000+ 1 1.90000+ 1 1.39270- 3 2.16360- 3 1.60000+ 1 2.10000+ 1 3.64437- 4 2.37300- 3 1.60000+ 1 2.20000+ 1 1.20574- 3 2.39902- 3 1.60000+ 1 2.40000+ 1 5.05756- 5 2.67306- 3 1.60000+ 1 2.50000+ 1 8.78788- 4 2.67926- 3 1.60000+ 1 2.70000+ 1 2.36623- 4 2.68722- 3 1.60000+ 1 2.90000+ 1 1.32134- 3 2.73283- 3 1.60000+ 1 3.00000+ 1 2.44307- 4 2.76104- 3 1.60000+ 1 3.20000+ 1 3.52229- 5 2.82640- 3 1.60000+ 1 3.30000+ 1 1.44056- 4 2.83005- 3 1.60000+ 1 4.10000+ 1 3.11580- 5 2.84823- 3 1.60000+ 1 4.30000+ 1 7.81255- 5 2.85831- 3 1.60000+ 1 4.40000+ 1 1.26443- 5 2.86112- 3 1.80000+ 1 1.80000+ 1 8.01601- 3 2.15160- 3 1.80000+ 1 1.90000+ 1 2.21919- 2 2.29094- 3 1.80000+ 1 2.10000+ 1 2.22815- 2 2.50034- 3 1.80000+ 1 2.20000+ 1 3.52931- 2 2.52636- 3 1.80000+ 1 2.40000+ 1 1.33925- 2 2.80040- 3 1.80000+ 1 2.50000+ 1 2.23197- 2 2.80660- 3 1.80000+ 1 2.70000+ 1 2.28732- 3 2.81456- 3 1.80000+ 1 2.90000+ 1 2.67654- 3 2.86017- 3 1.80000+ 1 3.00000+ 1 4.28638- 3 2.88838- 3 1.80000+ 1 3.20000+ 1 2.99984- 3 2.95374- 3 1.80000+ 1 3.30000+ 1 4.58558- 3 2.95739- 3 1.80000+ 1 4.10000+ 1 3.15649- 4 2.97557- 3 1.80000+ 1 4.30000+ 1 1.66190- 4 2.98565- 3 1.80000+ 1 4.40000+ 1 2.28050- 4 2.98846- 3 1.90000+ 1 1.90000+ 1 5.89309- 4 2.43028- 3 1.90000+ 1 2.10000+ 1 1.43148- 3 2.63968- 3 1.90000+ 1 2.20000+ 1 1.27387- 3 2.66570- 3 1.90000+ 1 2.40000+ 1 9.04036- 3 2.93974- 3 1.90000+ 1 2.50000+ 1 2.49619- 3 2.94594- 3 1.90000+ 1 2.70000+ 1 1.96884- 4 2.95390- 3 1.90000+ 1 2.90000+ 1 2.89402- 3 2.99951- 3 1.90000+ 1 3.00000+ 1 1.91924- 4 3.02772- 3 1.90000+ 1 3.20000+ 1 1.53081- 4 3.09308- 3 1.90000+ 1 3.30000+ 1 1.47664- 4 3.09673- 3 1.90000+ 1 4.10000+ 1 2.52870- 5 3.11491- 3 1.90000+ 1 4.30000+ 1 1.72043- 4 3.12499- 3 1.90000+ 1 4.40000+ 1 9.93471- 6 3.12780- 3 2.10000+ 1 2.10000+ 1 7.87084- 4 2.84908- 3 2.10000+ 1 2.20000+ 1 1.78652- 3 2.87510- 3 2.10000+ 1 2.40000+ 1 9.62750- 4 3.14914- 3 2.10000+ 1 2.50000+ 1 1.58549- 3 3.15534- 3 2.10000+ 1 2.70000+ 1 7.67690- 5 3.16330- 3 2.10000+ 1 2.90000+ 1 2.82383- 3 3.20891- 3 2.10000+ 1 3.00000+ 1 2.50622- 4 3.23712- 3 2.10000+ 1 3.20000+ 1 1.74302- 4 3.30248- 3 2.10000+ 1 3.30000+ 1 2.14495- 4 3.30613- 3 2.10000+ 1 4.10000+ 1 1.03864- 5 3.32431- 3 2.10000+ 1 4.30000+ 1 1.67083- 4 3.33439- 3 2.10000+ 1 4.40000+ 1 1.30956- 5 3.33720- 3 2.20000+ 1 2.20000+ 1 4.63775- 4 2.90112- 3 2.20000+ 1 2.40000+ 1 2.60032- 3 3.17516- 3 2.20000+ 1 2.50000+ 1 6.08725- 4 3.18136- 3 2.20000+ 1 2.70000+ 1 2.11340- 4 3.18932- 3 2.20000+ 1 2.90000+ 1 4.53293- 3 3.23493- 3 2.20000+ 1 3.00000+ 1 1.90116- 4 3.26314- 3 2.20000+ 1 3.20000+ 1 1.97784- 4 3.32850- 3 2.20000+ 1 3.30000+ 1 1.02508- 4 3.33215- 3 2.20000+ 1 4.10000+ 1 2.79969- 5 3.35033- 3 2.20000+ 1 4.30000+ 1 2.68694- 4 3.36041- 3 2.20000+ 1 4.40000+ 1 9.93477- 6 3.36322- 3 2.40000+ 1 2.40000+ 1 3.38850- 3 3.44920- 3 2.40000+ 1 2.50000+ 1 2.17066- 2 3.45540- 3 2.40000+ 1 2.70000+ 1 6.32187- 6 3.46336- 3 2.40000+ 1 2.90000+ 1 1.56694- 3 3.50897- 3 2.40000+ 1 3.00000+ 1 1.64010- 3 3.53718- 3 2.40000+ 1 3.20000+ 1 1.43599- 4 3.60254- 3 2.40000+ 1 3.30000+ 1 3.89252- 4 3.60619- 3 2.40000+ 1 4.10000+ 1 9.03153- 7 3.62437- 3 2.40000+ 1 4.30000+ 1 9.21203- 5 3.63445- 3 2.40000+ 1 4.40000+ 1 8.67028- 5 3.63726- 3 2.50000+ 1 2.50000+ 1 1.13572- 3 3.46160- 3 2.50000+ 1 2.70000+ 1 1.59859- 4 3.46956- 3 2.50000+ 1 2.90000+ 1 2.56034- 3 3.51517- 3 2.50000+ 1 3.00000+ 1 4.04171- 4 3.54338- 3 2.50000+ 1 3.20000+ 1 2.21716- 4 3.60874- 3 2.50000+ 1 3.30000+ 1 8.30918- 5 3.61239- 3 2.50000+ 1 4.10000+ 1 2.12240- 5 3.63057- 3 2.50000+ 1 4.30000+ 1 1.49018- 4 3.64065- 3 2.50000+ 1 4.40000+ 1 2.07726- 5 3.64346- 3 2.70000+ 1 2.70000+ 1 2.05252- 5 3.47752- 3 2.70000+ 1 2.90000+ 1 3.03204- 4 3.52313- 3 2.70000+ 1 3.00000+ 1 3.59168- 5 3.55134- 3 2.70000+ 1 3.20000+ 1 6.99689- 6 3.61670- 3 2.70000+ 1 3.30000+ 1 2.65888- 5 3.62035- 3 2.70000+ 1 4.10000+ 1 5.59769- 6 3.63853- 3 2.70000+ 1 4.30000+ 1 1.77259- 5 3.64861- 3 2.70000+ 1 4.40000+ 1 1.86584- 6 3.65142- 3 2.90000+ 1 2.90000+ 1 2.16205- 4 3.56874- 3 2.90000+ 1 3.00000+ 1 5.78877- 4 3.59695- 3 2.90000+ 1 3.20000+ 1 3.93347- 4 3.66231- 3 2.90000+ 1 3.30000+ 1 6.09542- 4 3.66596- 3 2.90000+ 1 4.10000+ 1 4.18463- 5 3.68414- 3 2.90000+ 1 4.30000+ 1 2.65024- 5 3.69422- 3 2.90000+ 1 4.40000+ 1 3.06854- 5 3.69703- 3 3.00000+ 1 3.00000+ 1 2.22812- 5 3.62516- 3 3.00000+ 1 3.20000+ 1 3.81936- 5 3.69052- 3 3.00000+ 1 3.30000+ 1 3.11933- 5 3.69417- 3 3.00000+ 1 4.10000+ 1 6.36603- 6 3.71235- 3 3.00000+ 1 4.30000+ 1 4.71098- 5 3.72243- 3 3.00000+ 1 4.40000+ 1 2.54638- 6 3.72524- 3 3.20000+ 1 3.20000+ 1 1.03968- 5 3.75588- 3 3.20000+ 1 3.30000+ 1 2.77237- 5 3.75953- 3 3.20000+ 1 4.10000+ 1 9.90177- 7 3.77771- 3 3.20000+ 1 4.30000+ 1 2.47533- 5 3.78779- 3 3.20000+ 1 4.40000+ 1 1.48525- 6 3.79060- 3 3.30000+ 1 3.30000+ 1 7.56698- 6 3.76318- 3 3.30000+ 1 4.10000+ 1 4.65677- 6 3.78136- 3 3.30000+ 1 4.30000+ 1 4.54011- 5 3.79144- 3 3.30000+ 1 4.40000+ 1 1.74625- 6 3.79425- 3 4.10000+ 1 4.10000+ 1 4.51579- 7 3.79954- 3 4.10000+ 1 4.30000+ 1 2.25785- 6 3.80962- 3 4.10000+ 1 4.40000+ 1 4.51579- 7 3.81243- 3 4.30000+ 1 4.30000+ 1 4.51566- 7 3.81970- 3 4.30000+ 1 4.40000+ 1 1.80624- 6 3.82251- 3 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.46499- 5 4.78000- 4 1.40000+ 1 2.72189- 4 5.96400- 4 1.60000+ 1 1.52689- 3 2.30986- 3 2.10000+ 1 7.40876- 4 2.78594- 3 2.20000+ 1 5.68137- 3 2.81196- 3 2.70000+ 1 3.36938- 4 3.10016- 3 3.20000+ 1 1.14659- 4 3.23934- 3 3.30000+ 1 8.81836- 4 3.24299- 3 4.10000+ 1 4.98558- 5 3.26117- 3 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.10000+ 1 6.19650- 3 0.00000+ 0 1.30000+ 1 2.20000+ 1 1.22859- 2 8.46000- 6 1.30000+ 1 2.40000+ 1 1.66754- 2 2.82500- 4 1.30000+ 1 2.50000+ 1 2.43076- 2 2.88700- 4 1.30000+ 1 2.70000+ 1 2.86223- 3 2.96660- 4 1.30000+ 1 2.90000+ 1 2.52253- 3 3.42270- 4 1.30000+ 1 3.00000+ 1 8.01784- 3 3.70480- 4 1.30000+ 1 3.20000+ 1 1.26890- 3 4.35840- 4 1.30000+ 1 3.30000+ 1 1.33637- 3 4.39490- 4 1.30000+ 1 4.10000+ 1 3.79086- 4 4.57670- 4 1.30000+ 1 4.30000+ 1 1.55016- 4 4.67750- 4 1.30000+ 1 4.40000+ 1 4.07277- 4 4.70560- 4 1.40000+ 1 2.10000+ 1 4.84369- 2 1.00840- 4 1.40000+ 1 2.20000+ 1 6.56762- 2 1.26860- 4 1.40000+ 1 2.40000+ 1 1.85734- 1 4.00900- 4 1.40000+ 1 2.50000+ 1 2.24541- 1 4.07100- 4 1.40000+ 1 2.70000+ 1 1.71460- 2 4.15060- 4 1.40000+ 1 2.90000+ 1 1.69883- 2 4.60670- 4 1.40000+ 1 3.00000+ 1 2.00854- 2 4.88880- 4 1.40000+ 1 3.20000+ 1 5.51397- 3 5.54240- 4 1.40000+ 1 3.30000+ 1 7.84401- 3 5.57890- 4 1.40000+ 1 4.10000+ 1 2.32246- 3 5.76070- 4 1.40000+ 1 4.30000+ 1 1.04812- 3 5.86150- 4 1.40000+ 1 4.40000+ 1 1.04112- 3 5.88960- 4 1.60000+ 1 1.60000+ 1 2.90253- 4 1.33822- 3 1.60000+ 1 1.80000+ 1 6.30777- 4 1.46556- 3 1.60000+ 1 1.90000+ 1 1.24662- 2 1.60490- 3 1.60000+ 1 2.10000+ 1 7.44603- 4 1.81430- 3 1.60000+ 1 2.20000+ 1 9.11092- 4 1.84032- 3 1.60000+ 1 2.40000+ 1 1.87335- 3 2.11436- 3 1.60000+ 1 2.50000+ 1 3.31846- 3 2.12056- 3 1.60000+ 1 2.70000+ 1 9.95962- 5 2.12852- 3 1.60000+ 1 2.90000+ 1 8.82137- 5 2.17413- 3 1.60000+ 1 3.00000+ 1 1.56889- 3 2.20234- 3 1.60000+ 1 3.20000+ 1 8.72676- 5 2.26770- 3 1.60000+ 1 3.30000+ 1 1.01969- 4 2.27135- 3 1.60000+ 1 4.10000+ 1 1.32796- 5 2.28953- 3 1.60000+ 1 4.30000+ 1 5.21699- 6 2.29961- 3 1.60000+ 1 4.40000+ 1 7.87288- 5 2.30242- 3 1.80000+ 1 1.80000+ 1 1.94446- 5 1.59290- 3 1.80000+ 1 1.90000+ 1 1.54587- 2 1.73224- 3 1.80000+ 1 2.10000+ 1 3.36250- 4 1.94164- 3 1.80000+ 1 2.20000+ 1 3.31233- 3 1.96766- 3 1.80000+ 1 2.40000+ 1 1.68461- 3 2.24170- 3 1.80000+ 1 2.50000+ 1 9.04330- 3 2.24790- 3 1.80000+ 1 2.70000+ 1 1.00546- 4 2.25586- 3 1.80000+ 1 2.90000+ 1 5.21698- 6 2.30147- 3 1.80000+ 1 3.00000+ 1 1.98813- 3 2.32968- 3 1.80000+ 1 3.20000+ 1 4.31598- 5 2.39504- 3 1.80000+ 1 3.30000+ 1 3.53812- 4 2.39869- 3 1.80000+ 1 4.10000+ 1 1.28053- 5 2.41687- 3 1.80000+ 1 4.30000+ 1 4.74284- 7 2.42695- 3 1.80000+ 1 4.40000+ 1 1.00073- 4 2.42976- 3 1.90000+ 1 1.90000+ 1 2.01976- 2 1.87158- 3 1.90000+ 1 2.10000+ 1 2.96441- 2 2.08098- 3 1.90000+ 1 2.20000+ 1 3.86794- 2 2.10700- 3 1.90000+ 1 2.40000+ 1 2.62527- 2 2.38104- 3 1.90000+ 1 2.50000+ 1 3.00405- 2 2.38724- 3 1.90000+ 1 2.70000+ 1 2.70207- 3 2.39520- 3 1.90000+ 1 2.90000+ 1 3.03297- 3 2.44081- 3 1.90000+ 1 3.00000+ 1 6.45701- 3 2.46902- 3 1.90000+ 1 3.20000+ 1 3.86162- 3 2.53438- 3 1.90000+ 1 3.30000+ 1 4.97194- 3 2.53803- 3 1.90000+ 1 4.10000+ 1 3.71818- 4 2.55621- 3 1.90000+ 1 4.30000+ 1 1.91615- 4 2.56629- 3 1.90000+ 1 4.40000+ 1 3.35776- 4 2.56910- 3 2.10000+ 1 2.10000+ 1 1.97314- 4 2.29038- 3 2.10000+ 1 2.20000+ 1 4.75001- 3 2.31640- 3 2.10000+ 1 2.40000+ 1 7.18984- 4 2.59044- 3 2.10000+ 1 2.50000+ 1 8.35259- 3 2.59664- 3 2.10000+ 1 2.70000+ 1 9.10593- 5 2.60460- 3 2.10000+ 1 2.90000+ 1 2.37127- 5 2.65021- 3 2.10000+ 1 3.00000+ 1 3.74065- 3 2.67842- 3 2.10000+ 1 3.20000+ 1 4.22091- 5 2.74378- 3 2.10000+ 1 3.30000+ 1 5.39247- 4 2.74743- 3 2.10000+ 1 4.10000+ 1 1.13824- 5 2.76561- 3 2.10000+ 1 4.30000+ 1 1.42280- 6 2.77569- 3 2.10000+ 1 4.40000+ 1 1.87331- 4 2.77850- 3 2.20000+ 1 2.20000+ 1 2.08114- 3 2.34242- 3 2.20000+ 1 2.40000+ 1 6.76159- 3 2.61646- 3 2.20000+ 1 2.50000+ 1 5.62987- 3 2.62266- 3 2.20000+ 1 2.70000+ 1 1.15718- 4 2.63062- 3 2.20000+ 1 2.90000+ 1 3.29595- 4 2.67623- 3 2.20000+ 1 3.00000+ 1 4.81852- 3 2.70444- 3 2.20000+ 1 3.20000+ 1 5.41617- 4 2.76980- 3 2.20000+ 1 3.30000+ 1 4.74269- 4 2.77345- 3 2.20000+ 1 4.10000+ 1 1.47020- 5 2.79163- 3 2.20000+ 1 4.30000+ 1 1.89697- 5 2.80171- 3 2.20000+ 1 4.40000+ 1 2.40916- 4 2.80452- 3 2.40000+ 1 2.40000+ 1 1.08185- 3 2.89050- 3 2.40000+ 1 2.50000+ 1 2.83650- 2 2.89670- 3 2.40000+ 1 2.70000+ 1 2.05842- 4 2.90466- 3 2.40000+ 1 2.90000+ 1 2.73193- 4 2.95027- 3 2.40000+ 1 3.00000+ 1 3.15495- 3 2.97848- 3 2.40000+ 1 3.20000+ 1 1.08135- 4 3.04384- 3 2.40000+ 1 3.30000+ 1 8.17648- 4 3.04749- 3 2.40000+ 1 4.10000+ 1 2.56112- 5 3.06567- 3 2.40000+ 1 4.30000+ 1 1.65996- 5 3.07575- 3 2.40000+ 1 4.40000+ 1 1.56986- 4 3.07856- 3 2.50000+ 1 2.50000+ 1 1.12291- 2 2.90290- 3 2.50000+ 1 2.70000+ 1 3.21558- 4 2.91086- 3 2.50000+ 1 2.90000+ 1 1.45316- 3 2.95647- 3 2.50000+ 1 3.00000+ 1 3.75369- 3 2.98468- 3 2.50000+ 1 3.20000+ 1 1.07706- 3 3.05004- 3 2.50000+ 1 3.30000+ 1 7.37964- 4 3.05369- 3 2.50000+ 1 4.10000+ 1 3.88889- 5 3.07187- 3 2.50000+ 1 4.30000+ 1 8.91621- 5 3.08195- 3 2.50000+ 1 4.40000+ 1 1.88290- 4 3.08476- 3 2.70000+ 1 2.70000+ 1 1.09957- 5 2.91882- 3 2.70000+ 1 2.90000+ 1 1.70433- 5 2.96443- 3 2.70000+ 1 3.00000+ 1 3.95269- 4 2.99264- 3 2.70000+ 1 3.20000+ 1 1.31949- 5 3.05800- 3 2.70000+ 1 3.30000+ 1 1.53939- 5 3.06165- 3 2.70000+ 1 4.10000+ 1 2.74887- 6 3.07983- 3 2.70000+ 1 4.30000+ 1 1.09957- 6 3.08991- 3 2.70000+ 1 4.40000+ 1 1.97924- 5 3.09272- 3 2.90000+ 1 2.90000+ 1 5.29831- 7 3.01004- 3 2.90000+ 1 3.00000+ 1 4.38163- 4 3.03825- 3 2.90000+ 1 3.20000+ 1 3.17892- 6 3.10361- 3 2.90000+ 1 3.30000+ 1 4.13242- 5 3.10726- 3 2.90000+ 1 4.10000+ 1 2.11921- 6 3.12544- 3 2.90000+ 1 4.40000+ 1 2.22525- 5 3.13833- 3 3.00000+ 1 3.00000+ 1 6.24648- 4 3.06646- 3 3.00000+ 1 3.20000+ 1 6.19842- 4 3.13182- 3 3.00000+ 1 3.30000+ 1 7.87583- 4 3.13547- 3 3.00000+ 1 4.10000+ 1 5.95229- 5 3.15365- 3 3.00000+ 1 4.30000+ 1 3.12639- 5 3.16373- 3 3.00000+ 1 4.40000+ 1 6.43292- 5 3.16654- 3 3.20000+ 1 3.20000+ 1 2.37130- 6 3.19718- 3 3.20000+ 1 3.30000+ 1 6.54496- 5 3.20083- 3 3.20000+ 1 4.10000+ 1 1.42282- 6 3.21901- 3 3.20000+ 1 4.40000+ 1 2.46628- 5 3.23190- 3 3.30000+ 1 3.30000+ 1 3.01238- 5 3.20448- 3 3.30000+ 1 4.10000+ 1 2.00819- 6 3.22266- 3 3.30000+ 1 4.30000+ 1 2.00819- 6 3.23274- 3 3.30000+ 1 4.40000+ 1 3.26335- 5 3.23555- 3 4.10000+ 1 4.40000+ 1 2.37129- 6 3.25373- 3 4.30000+ 1 4.40000+ 1 1.06409- 6 3.26381- 3 4.40000+ 1 4.40000+ 1 1.05369- 6 3.26662- 3 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.03840- 3 1.95920- 3 1.90000+ 1 2.01030- 4 2.09854- 3 2.40000+ 1 3.68349- 2 2.60800- 3 2.90000+ 1 5.00849- 4 2.66777- 3 3.00000+ 1 4.95599- 5 2.69598- 3 4.30000+ 1 2.25450- 5 2.79325- 3 4.40000+ 1 1.92700- 6 2.79606- 3 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.00000+ 1 8.23646- 3 1.08800- 5 1.40000+ 1 3.20000+ 1 4.71025- 2 7.62400- 5 1.40000+ 1 3.30000+ 1 6.61673- 3 7.98900- 5 1.40000+ 1 4.10000+ 1 7.80383- 4 9.80700- 5 1.40000+ 1 4.30000+ 1 2.21263- 4 1.08150- 4 1.40000+ 1 4.40000+ 1 4.15614- 4 1.10960- 4 1.60000+ 1 1.60000+ 1 2.19265- 5 8.60220- 4 1.60000+ 1 1.80000+ 1 1.08543- 3 9.87560- 4 1.60000+ 1 1.90000+ 1 8.64129- 4 1.12690- 3 1.60000+ 1 2.10000+ 1 3.28337- 2 1.33630- 3 1.60000+ 1 2.20000+ 1 3.80017- 3 1.36232- 3 1.60000+ 1 2.40000+ 1 1.55148- 2 1.63636- 3 1.60000+ 1 2.50000+ 1 4.09319- 3 1.64256- 3 1.60000+ 1 2.70000+ 1 1.89366- 5 1.65052- 3 1.60000+ 1 2.90000+ 1 1.73426- 4 1.69613- 3 1.60000+ 1 3.00000+ 1 1.10633- 4 1.72434- 3 1.60000+ 1 3.20000+ 1 3.05482- 3 1.78970- 3 1.60000+ 1 3.30000+ 1 3.65778- 4 1.79335- 3 1.60000+ 1 4.10000+ 1 2.98995- 6 1.81153- 3 1.60000+ 1 4.30000+ 1 1.09638- 5 1.82161- 3 1.60000+ 1 4.40000+ 1 5.97989- 6 1.82442- 3 1.80000+ 1 1.80000+ 1 6.23902- 4 1.11490- 3 1.80000+ 1 1.90000+ 1 4.25049- 3 1.25424- 3 1.80000+ 1 2.10000+ 1 2.94888- 2 1.46364- 3 1.80000+ 1 2.20000+ 1 1.99331- 3 1.48966- 3 1.80000+ 1 2.40000+ 1 1.03814- 2 1.76370- 3 1.80000+ 1 2.50000+ 1 5.26734- 3 1.76990- 3 1.80000+ 1 2.70000+ 1 1.49503- 4 1.77786- 3 1.80000+ 1 2.90000+ 1 1.97331- 4 1.82347- 3 1.80000+ 1 3.00000+ 1 6.07973- 4 1.85168- 3 1.80000+ 1 3.20000+ 1 2.72382- 3 1.91704- 3 1.80000+ 1 3.30000+ 1 2.20265- 4 1.92069- 3 1.80000+ 1 4.10000+ 1 1.89361- 5 1.93887- 3 1.80000+ 1 4.30000+ 1 1.19594- 5 1.94895- 3 1.80000+ 1 4.40000+ 1 3.08957- 5 1.95176- 3 1.90000+ 1 1.90000+ 1 1.49994- 3 1.39358- 3 1.90000+ 1 2.10000+ 1 5.86962- 2 1.60298- 3 1.90000+ 1 2.20000+ 1 2.22857- 3 1.62900- 3 1.90000+ 1 2.40000+ 1 2.98695- 3 1.90304- 3 1.90000+ 1 2.50000+ 1 2.01624- 3 1.90924- 3 1.90000+ 1 2.70000+ 1 1.43517- 4 1.91720- 3 1.90000+ 1 2.90000+ 1 5.35203- 4 1.96281- 3 1.90000+ 1 3.00000+ 1 4.10632- 4 1.99102- 3 1.90000+ 1 3.20000+ 1 5.47362- 3 2.05638- 3 1.90000+ 1 3.30000+ 1 2.24250- 4 2.06003- 3 1.90000+ 1 4.10000+ 1 1.89365- 5 2.07821- 3 1.90000+ 1 4.30000+ 1 3.18933- 5 2.08829- 3 1.90000+ 1 4.40000+ 1 2.09295- 5 2.09110- 3 2.10000+ 1 2.10000+ 1 5.30956- 2 1.81238- 3 2.10000+ 1 2.20000+ 1 1.05080- 1 1.83840- 3 2.10000+ 1 2.40000+ 1 5.85900- 2 2.11244- 3 2.10000+ 1 2.50000+ 1 7.04601- 2 2.11864- 3 2.10000+ 1 2.70000+ 1 6.54215- 3 2.12660- 3 2.10000+ 1 2.90000+ 1 5.83551- 3 2.17221- 3 2.10000+ 1 3.00000+ 1 1.10165- 2 2.20042- 3 2.10000+ 1 3.20000+ 1 1.19617- 2 2.26578- 3 2.10000+ 1 3.30000+ 1 1.33438- 2 2.26943- 3 2.10000+ 1 4.10000+ 1 8.90018- 4 2.28761- 3 2.10000+ 1 4.30000+ 1 3.69758- 4 2.29769- 3 2.10000+ 1 4.40000+ 1 5.84029- 4 2.30050- 3 2.20000+ 1 2.20000+ 1 1.67634- 3 1.86442- 3 2.20000+ 1 2.40000+ 1 6.66584- 2 2.13846- 3 2.20000+ 1 2.50000+ 1 3.30193- 3 2.14466- 3 2.20000+ 1 2.70000+ 1 4.01653- 4 2.15262- 3 2.20000+ 1 2.90000+ 1 2.42187- 4 2.19823- 3 2.20000+ 1 3.00000+ 1 3.37865- 4 2.22644- 3 2.20000+ 1 3.20000+ 1 9.85793- 3 2.29180- 3 2.20000+ 1 3.30000+ 1 3.50819- 4 2.29545- 3 2.20000+ 1 4.10000+ 1 4.98315- 5 2.31363- 3 2.20000+ 1 4.30000+ 1 1.49505- 5 2.32371- 3 2.20000+ 1 4.40000+ 1 1.69425- 5 2.32652- 3 2.40000+ 1 2.40000+ 1 6.36398- 2 2.41250- 3 2.40000+ 1 2.50000+ 1 1.83782- 1 2.41870- 3 2.40000+ 1 2.70000+ 1 3.26502- 3 2.42666- 3 2.40000+ 1 2.90000+ 1 1.68440- 3 2.47227- 3 2.40000+ 1 3.00000+ 1 5.78052- 4 2.50048- 3 2.40000+ 1 3.20000+ 1 5.93325- 3 2.56584- 3 2.40000+ 1 3.30000+ 1 8.08300- 3 2.56949- 3 2.40000+ 1 4.10000+ 1 4.47511- 4 2.58767- 3 2.40000+ 1 4.30000+ 1 1.05646- 4 2.59775- 3 2.40000+ 1 4.40000+ 1 3.08961- 5 2.60056- 3 2.50000+ 1 2.50000+ 1 3.66231- 3 2.42490- 3 2.50000+ 1 2.70000+ 1 5.82826- 4 2.43286- 3 2.50000+ 1 2.90000+ 1 4.30974- 4 2.47847- 3 2.50000+ 1 3.00000+ 1 3.27491- 4 2.50668- 3 2.50000+ 1 3.20000+ 1 5.80078- 3 2.57204- 3 2.50000+ 1 3.30000+ 1 3.57853- 4 2.57569- 3 2.50000+ 1 4.10000+ 1 7.49898- 5 2.59387- 3 2.50000+ 1 4.30000+ 1 2.46806- 5 2.60395- 3 2.50000+ 1 4.40000+ 1 1.70862- 5 2.60676- 3 2.70000+ 1 2.70000+ 1 2.13146- 6 2.44082- 3 2.70000+ 1 2.90000+ 1 2.77088- 5 2.48643- 3 2.70000+ 1 3.00000+ 1 2.02485- 5 2.51464- 3 2.70000+ 1 3.20000+ 1 6.55431- 4 2.58000- 3 2.70000+ 1 3.30000+ 1 4.58264- 5 2.58365- 3 2.70000+ 1 4.10000+ 1 1.06573- 6 2.60183- 3 2.70000+ 1 4.30000+ 1 2.13146- 6 2.61191- 3 2.70000+ 1 4.40000+ 1 1.06573- 6 2.61472- 3 2.90000+ 1 2.90000+ 1 2.14750- 5 2.53204- 3 2.90000+ 1 3.00000+ 1 1.03591- 4 2.56025- 3 2.90000+ 1 3.20000+ 1 6.85946- 4 2.62561- 3 2.90000+ 1 3.30000+ 1 3.78980- 5 2.62926- 3 2.90000+ 1 4.10000+ 1 3.78980- 6 2.64744- 3 2.90000+ 1 4.30000+ 1 2.52661- 6 2.65752- 3 2.90000+ 1 4.40000+ 1 5.05297- 6 2.66033- 3 3.00000+ 1 3.00000+ 1 3.97420- 5 2.58846- 3 3.00000+ 1 3.20000+ 1 1.42255- 3 2.65382- 3 3.00000+ 1 3.30000+ 1 4.93351- 5 2.65747- 3 3.00000+ 1 4.10000+ 1 4.11115- 6 2.67565- 3 3.00000+ 1 4.30000+ 1 6.85187- 6 2.68573- 3 3.00000+ 1 4.40000+ 1 4.11115- 6 2.68854- 3 3.20000+ 1 3.20000+ 1 6.51820- 4 2.71918- 3 3.20000+ 1 3.30000+ 1 1.25775- 3 2.72283- 3 3.20000+ 1 4.10000+ 1 8.37196- 5 2.74101- 3 3.20000+ 1 4.30000+ 1 3.38871- 5 2.75109- 3 3.20000+ 1 4.40000+ 1 5.48164- 5 2.75390- 3 3.30000+ 1 3.30000+ 1 2.43586- 5 2.72648- 3 3.30000+ 1 4.10000+ 1 6.76622- 6 2.74466- 3 3.30000+ 1 4.30000+ 1 2.70659- 6 2.75474- 3 3.30000+ 1 4.40000+ 1 2.70659- 6 2.75755- 3 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.52230- 3 1.98014- 3 2.40000+ 1 1.81680- 3 2.48960- 3 2.50000+ 1 3.55220- 2 2.49580- 3 3.00000+ 1 3.59330- 4 2.57758- 3 4.40000+ 1 1.43110- 5 2.67766- 3 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.80000+ 1 2.47074- 4 8.69160- 4 1.60000+ 1 1.90000+ 1 1.94937- 3 1.00850- 3 1.60000+ 1 2.10000+ 1 3.34916- 3 1.21790- 3 1.60000+ 1 2.20000+ 1 3.59957- 2 1.24392- 3 1.60000+ 1 2.40000+ 1 4.31138- 3 1.51796- 3 1.60000+ 1 2.50000+ 1 1.64455- 2 1.52416- 3 1.60000+ 1 2.70000+ 1 1.10927- 5 1.53212- 3 1.60000+ 1 2.90000+ 1 1.51269- 5 1.57773- 3 1.60000+ 1 3.00000+ 1 2.58175- 4 1.60594- 3 1.60000+ 1 3.20000+ 1 3.06578- 4 1.67130- 3 1.60000+ 1 3.30000+ 1 3.29167- 3 1.67495- 3 1.60000+ 1 4.10000+ 1 2.01698- 6 1.69313- 3 1.60000+ 1 4.30000+ 1 1.00849- 6 1.70321- 3 1.60000+ 1 4.40000+ 1 1.31104- 5 1.70602- 3 1.80000+ 1 1.90000+ 1 5.38840- 3 1.13584- 3 1.80000+ 1 2.10000+ 1 2.66238- 4 1.34524- 3 1.80000+ 1 2.20000+ 1 3.71764- 2 1.37126- 3 1.80000+ 1 2.40000+ 1 2.23483- 3 1.64530- 3 1.80000+ 1 2.50000+ 1 9.03385- 3 1.65150- 3 1.80000+ 1 2.70000+ 1 3.22714- 5 1.65946- 3 1.80000+ 1 2.90000+ 1 1.00849- 6 1.70507- 3 1.80000+ 1 3.00000+ 1 7.12995- 4 1.73328- 3 1.80000+ 1 3.20000+ 1 8.06805- 6 1.79864- 3 1.80000+ 1 3.30000+ 1 3.39961- 3 1.80229- 3 1.80000+ 1 4.10000+ 1 4.03378- 6 1.82047- 3 1.80000+ 1 4.40000+ 1 3.63056- 5 1.83336- 3 1.90000+ 1 1.90000+ 1 3.60231- 3 1.27518- 3 1.90000+ 1 2.10000+ 1 3.42685- 3 1.48458- 3 1.90000+ 1 2.20000+ 1 5.55149- 2 1.51060- 3 1.90000+ 1 2.40000+ 1 2.27407- 3 1.78464- 3 1.90000+ 1 2.50000+ 1 4.21026- 3 1.79084- 3 1.90000+ 1 2.70000+ 1 3.35823- 4 1.79880- 3 1.90000+ 1 2.90000+ 1 6.47441- 4 1.84441- 3 1.90000+ 1 3.00000+ 1 9.82272- 4 1.87262- 3 1.90000+ 1 3.20000+ 1 3.85231- 4 1.93798- 3 1.90000+ 1 3.30000+ 1 5.05871- 3 1.94163- 3 1.90000+ 1 4.10000+ 1 4.43744- 5 1.95981- 3 1.90000+ 1 4.30000+ 1 3.83227- 5 1.96989- 3 1.90000+ 1 4.40000+ 1 4.94155- 5 1.97270- 3 2.10000+ 1 2.10000+ 1 7.47304- 4 1.69398- 3 2.10000+ 1 2.20000+ 1 7.73577- 2 1.72000- 3 2.10000+ 1 2.40000+ 1 2.95587- 3 1.99404- 3 2.10000+ 1 2.50000+ 1 4.06945- 2 2.00024- 3 2.10000+ 1 2.70000+ 1 3.34828- 4 2.00820- 3 2.10000+ 1 2.90000+ 1 5.95017- 5 2.05381- 3 2.10000+ 1 3.00000+ 1 4.70950- 4 2.08202- 3 2.10000+ 1 3.20000+ 1 1.54292- 4 2.14738- 3 2.10000+ 1 3.30000+ 1 7.13534- 3 2.15103- 3 2.10000+ 1 4.10000+ 1 4.13478- 5 2.16921- 3 2.10000+ 1 4.30000+ 1 4.03390- 6 2.17929- 3 2.10000+ 1 4.40000+ 1 2.42038- 5 2.18210- 3 2.20000+ 1 2.20000+ 1 8.62289- 2 1.74602- 3 2.20000+ 1 2.40000+ 1 6.44920- 2 2.02006- 3 2.20000+ 1 2.50000+ 1 1.02916- 1 2.02626- 3 2.20000+ 1 2.70000+ 1 6.87099- 3 2.03422- 3 2.20000+ 1 2.90000+ 1 7.02399- 3 2.07983- 3 2.20000+ 1 3.00000+ 1 1.05120- 2 2.10804- 3 2.20000+ 1 3.20000+ 1 9.94211- 3 2.17340- 3 2.20000+ 1 3.30000+ 1 1.89031- 2 2.17705- 3 2.20000+ 1 4.10000+ 1 9.30820- 4 2.19523- 3 2.20000+ 1 4.30000+ 1 4.41709- 4 2.20531- 3 2.20000+ 1 4.40000+ 1 5.57712- 4 2.20812- 3 2.40000+ 1 2.40000+ 1 5.22917- 3 2.29410- 3 2.40000+ 1 2.50000+ 1 1.66802- 1 2.30030- 3 2.40000+ 1 2.70000+ 1 7.00889- 4 2.30826- 3 2.40000+ 1 2.90000+ 1 3.92307- 4 2.35387- 3 2.40000+ 1 3.00000+ 1 3.59034- 4 2.38208- 3 2.40000+ 1 3.20000+ 1 3.68099- 4 2.44744- 3 2.40000+ 1 3.30000+ 1 5.63349- 3 2.45109- 3 2.40000+ 1 4.10000+ 1 9.17746- 5 2.46927- 3 2.40000+ 1 4.30000+ 1 2.42037- 5 2.47935- 3 2.40000+ 1 4.40000+ 1 1.91615- 5 2.48216- 3 2.50000+ 1 2.50000+ 1 1.14089- 1 2.30650- 3 2.50000+ 1 2.70000+ 1 3.38762- 3 2.31446- 3 2.50000+ 1 2.90000+ 1 1.73666- 3 2.36007- 3 2.50000+ 1 3.00000+ 1 7.67474- 4 2.38828- 3 2.50000+ 1 3.20000+ 1 4.90821- 3 2.45364- 3 2.50000+ 1 3.30000+ 1 1.05064- 2 2.45729- 3 2.50000+ 1 4.10000+ 1 4.62919- 4 2.47547- 3 2.50000+ 1 4.30000+ 1 1.09929- 4 2.48555- 3 2.50000+ 1 4.40000+ 1 4.13481- 5 2.48836- 3 2.70000+ 1 2.70000+ 1 1.19172- 6 2.32242- 3 2.70000+ 1 2.90000+ 1 2.38342- 6 2.36803- 3 2.70000+ 1 3.00000+ 1 5.48186- 5 2.39624- 3 2.70000+ 1 3.20000+ 1 4.05174- 5 2.46160- 3 2.70000+ 1 3.30000+ 1 7.48375- 4 2.46525- 3 2.70000+ 1 4.40000+ 1 2.38342- 6 2.49632- 3 2.90000+ 1 3.00000+ 1 1.03852- 4 2.44185- 3 2.90000+ 1 3.20000+ 1 3.46164- 6 2.50721- 3 2.90000+ 1 3.30000+ 1 7.45417- 4 2.51086- 3 2.90000+ 1 4.40000+ 1 5.76936- 6 2.54193- 3 3.00000+ 1 3.00000+ 1 8.82785- 5 2.47006- 3 3.00000+ 1 3.20000+ 1 7.37856- 5 2.53542- 3 3.00000+ 1 3.30000+ 1 1.25702- 3 2.53907- 3 3.00000+ 1 4.10000+ 1 7.90536- 6 2.55725- 3 3.00000+ 1 4.30000+ 1 6.58788- 6 2.56733- 3 3.00000+ 1 4.40000+ 1 9.22299- 6 2.57014- 3 3.20000+ 1 3.20000+ 1 8.06818- 6 2.60078- 3 3.20000+ 1 3.30000+ 1 9.22782- 4 2.60443- 3 3.20000+ 1 4.10000+ 1 4.03385- 6 2.62261- 3 3.20000+ 1 4.40000+ 1 3.02543- 6 2.63550- 3 3.30000+ 1 3.30000+ 1 1.00740- 3 2.60808- 3 3.30000+ 1 4.10000+ 1 8.57201- 5 2.62626- 3 3.30000+ 1 4.30000+ 1 4.13464- 5 2.63634- 3 3.30000+ 1 4.40000+ 1 5.14313- 5 2.63915- 3 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.74612- 5 1.27340- 4 1.90000+ 1 3.37932- 4 2.66680- 4 2.90000+ 1 2.23060- 4 8.35910- 4 3.00000+ 1 7.88919- 5 8.64120- 4 4.30000+ 1 1.79111- 5 9.61390- 4 4.40000+ 1 6.23493- 6 9.64200- 4 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.90000+ 1 1.19491- 2 0.00000+ 0 1.80000+ 1 3.00000+ 1 5.30115- 2 1.98200- 5 1.80000+ 1 3.20000+ 1 4.25619- 2 8.51800- 5 1.80000+ 1 3.30000+ 1 6.82552- 2 8.88300- 5 1.80000+ 1 4.10000+ 1 4.78517- 3 1.07010- 4 1.80000+ 1 4.30000+ 1 1.98420- 3 1.17090- 4 1.80000+ 1 4.40000+ 1 2.71312- 3 1.19900- 4 1.90000+ 1 2.40000+ 1 4.68875- 2 7.11800- 5 1.90000+ 1 2.50000+ 1 7.18114- 2 7.73800- 5 1.90000+ 1 2.70000+ 1 4.05998- 2 8.53400- 5 1.90000+ 1 2.90000+ 1 4.76355- 2 1.30950- 4 1.90000+ 1 3.00000+ 1 4.78707- 2 1.59160- 4 1.90000+ 1 3.20000+ 1 4.02570- 2 2.24520- 4 1.90000+ 1 3.30000+ 1 4.93330- 2 2.28170- 4 1.90000+ 1 4.10000+ 1 5.46575- 3 2.46350- 4 1.90000+ 1 4.30000+ 1 2.82575- 3 2.56430- 4 1.90000+ 1 4.40000+ 1 2.51384- 3 2.59240- 4 2.10000+ 1 2.20000+ 1 2.94815- 3 6.54000- 6 2.10000+ 1 2.40000+ 1 4.52258- 3 2.80580- 4 2.10000+ 1 2.50000+ 1 7.28942- 3 2.86780- 4 2.10000+ 1 2.70000+ 1 1.79412- 2 2.94740- 4 2.10000+ 1 2.90000+ 1 5.68431- 3 3.40350- 4 2.10000+ 1 3.00000+ 1 7.70184- 3 3.68560- 4 2.10000+ 1 3.20000+ 1 1.93545- 3 4.33920- 4 2.10000+ 1 3.30000+ 1 2.06903- 3 4.37570- 4 2.10000+ 1 4.10000+ 1 1.84680- 3 4.55750- 4 2.10000+ 1 4.30000+ 1 3.44462- 4 4.65830- 4 2.10000+ 1 4.40000+ 1 3.45811- 4 4.68640- 4 2.20000+ 1 2.20000+ 1 4.75210- 3 3.25600- 5 2.20000+ 1 2.40000+ 1 7.90187- 3 3.06600- 4 2.20000+ 1 2.50000+ 1 8.27251- 3 3.12800- 4 2.20000+ 1 2.70000+ 1 2.37760- 2 3.20760- 4 2.20000+ 1 2.90000+ 1 9.44287- 3 3.66370- 4 2.20000+ 1 3.00000+ 1 7.94253- 3 3.94580- 4 2.20000+ 1 3.20000+ 1 1.62376- 3 4.59940- 4 2.20000+ 1 3.30000+ 1 2.66772- 3 4.63590- 4 2.20000+ 1 4.10000+ 1 2.43624- 3 4.81770- 4 2.20000+ 1 4.30000+ 1 5.06830- 4 4.91850- 4 2.20000+ 1 4.40000+ 1 3.90634- 4 4.94660- 4 2.40000+ 1 2.40000+ 1 9.28500- 3 5.80640- 4 2.40000+ 1 2.50000+ 1 1.82859- 2 5.86840- 4 2.40000+ 1 2.70000+ 1 2.11449- 2 5.94800- 4 2.40000+ 1 2.90000+ 1 2.88652- 3 6.40410- 4 2.40000+ 1 3.00000+ 1 1.04351- 2 6.68620- 4 2.40000+ 1 3.20000+ 1 9.38116- 4 7.33980- 4 2.40000+ 1 3.30000+ 1 6.14029- 4 7.37630- 4 2.40000+ 1 4.10000+ 1 1.91778- 3 7.55810- 4 2.40000+ 1 4.30000+ 1 1.46256- 4 7.65890- 4 2.40000+ 1 4.40000+ 1 4.58439- 4 7.68700- 4 2.50000+ 1 2.50000+ 1 1.53452- 2 5.93040- 4 2.50000+ 1 2.70000+ 1 2.73740- 2 6.01000- 4 2.50000+ 1 2.90000+ 1 1.51165- 3 6.46610- 4 2.50000+ 1 3.00000+ 1 1.17140- 2 6.74820- 4 2.50000+ 1 3.20000+ 1 5.63578- 4 7.40180- 4 2.50000+ 1 3.30000+ 1 1.35564- 3 7.43830- 4 2.50000+ 1 4.10000+ 1 2.47483- 3 7.62010- 4 2.50000+ 1 4.30000+ 1 7.49099- 5 7.72090- 4 2.50000+ 1 4.40000+ 1 4.99292- 4 7.74900- 4 2.70000+ 1 2.70000+ 1 1.63503- 2 6.08960- 4 2.70000+ 1 2.90000+ 1 2.32585- 2 6.54570- 4 2.70000+ 1 3.00000+ 1 3.69218- 2 6.82780- 4 2.70000+ 1 3.20000+ 1 3.00396- 2 7.48140- 4 2.70000+ 1 3.30000+ 1 4.12664- 2 7.51790- 4 2.70000+ 1 4.10000+ 1 3.78811- 3 7.69970- 4 2.70000+ 1 4.30000+ 1 1.47936- 3 7.80050- 4 2.70000+ 1 4.40000+ 1 1.95598- 3 7.82860- 4 2.90000+ 1 2.90000+ 1 2.10927- 3 7.00180- 4 2.90000+ 1 3.00000+ 1 8.89904- 3 7.28390- 4 2.90000+ 1 3.20000+ 1 3.19209- 3 7.93750- 4 2.90000+ 1 3.30000+ 1 2.49795- 3 7.97400- 4 2.90000+ 1 4.10000+ 1 2.44907- 3 8.15580- 4 2.90000+ 1 4.30000+ 1 2.29744- 4 8.25660- 4 2.90000+ 1 4.40000+ 1 3.78845- 4 8.28470- 4 3.00000+ 1 3.00000+ 1 5.68779- 3 7.56600- 4 3.00000+ 1 3.20000+ 1 2.71585- 3 8.21960- 4 3.00000+ 1 3.30000+ 1 5.37834- 3 8.25610- 4 3.00000+ 1 4.10000+ 1 3.81203- 3 8.43790- 4 3.00000+ 1 4.30000+ 1 4.84072- 4 8.53870- 4 3.00000+ 1 4.40000+ 1 5.39927- 4 8.56680- 4 3.20000+ 1 3.20000+ 1 9.04437- 4 8.87320- 4 3.20000+ 1 3.30000+ 1 2.71028- 3 8.90970- 4 3.20000+ 1 4.10000+ 1 3.92327- 3 9.09150- 4 3.20000+ 1 4.30000+ 1 2.03642- 4 9.19230- 4 3.20000+ 1 4.40000+ 1 1.31775- 4 9.22040- 4 3.30000+ 1 3.30000+ 1 1.75404- 3 8.94620- 4 3.30000+ 1 4.10000+ 1 5.27697- 3 9.12800- 4 3.30000+ 1 4.30000+ 1 1.40793- 4 9.22880- 4 3.30000+ 1 4.40000+ 1 2.90397- 4 9.25690- 4 4.10000+ 1 4.10000+ 1 2.67372- 4 9.30980- 4 4.10000+ 1 4.30000+ 1 1.75464- 4 9.41060- 4 4.10000+ 1 4.40000+ 1 2.39525- 4 9.43870- 4 4.30000+ 1 4.30000+ 1 2.78529- 6 9.51140- 4 4.30000+ 1 4.40000+ 1 2.50667- 5 9.53950- 4 4.40000+ 1 4.40000+ 1 1.11400- 5 9.56760- 4 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 9.53331- 4 3.48740- 4 2.70000+ 1 2.17541- 4 6.62960- 4 3.20000+ 1 4.74996- 5 8.02140- 4 4.10000+ 1 3.31185- 5 8.23970- 4 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 1.44460- 2 3.61000- 6 1.90000+ 1 3.00000+ 1 2.44388- 2 3.18200- 5 1.90000+ 1 3.20000+ 1 7.72895- 3 9.71800- 5 1.90000+ 1 3.30000+ 1 1.20996- 2 1.00830- 4 1.90000+ 1 4.10000+ 1 1.79926- 3 1.19010- 4 1.90000+ 1 4.30000+ 1 9.56366- 4 1.29090- 4 1.90000+ 1 4.40000+ 1 9.07010- 4 1.31900- 4 2.10000+ 1 2.40000+ 1 1.26109- 1 1.53240- 4 2.10000+ 1 2.50000+ 1 2.83740- 1 1.59440- 4 2.10000+ 1 2.70000+ 1 3.84996- 2 1.67400- 4 2.10000+ 1 2.90000+ 1 3.04057- 2 2.13010- 4 2.10000+ 1 3.00000+ 1 4.21291- 2 2.41220- 4 2.10000+ 1 3.20000+ 1 2.11626- 2 3.06580- 4 2.10000+ 1 3.30000+ 1 3.38323- 2 3.10230- 4 2.10000+ 1 4.10000+ 1 5.27776- 3 3.28410- 4 2.10000+ 1 4.30000+ 1 1.80875- 3 3.38490- 4 2.10000+ 1 4.40000+ 1 2.20625- 3 3.41300- 4 2.20000+ 1 2.40000+ 1 4.30104- 2 1.79260- 4 2.20000+ 1 2.50000+ 1 1.10138- 2 1.85460- 4 2.20000+ 1 2.70000+ 1 6.08974- 3 1.93420- 4 2.20000+ 1 2.90000+ 1 2.52098- 2 2.39030- 4 2.20000+ 1 3.00000+ 1 5.40063- 3 2.67240- 4 2.20000+ 1 3.20000+ 1 2.40343- 3 3.32600- 4 2.20000+ 1 3.30000+ 1 2.31184- 3 3.36250- 4 2.20000+ 1 4.10000+ 1 6.44113- 4 3.54430- 4 2.20000+ 1 4.30000+ 1 1.14328- 3 3.64510- 4 2.20000+ 1 4.40000+ 1 2.36331- 4 3.67320- 4 2.40000+ 1 2.40000+ 1 2.51559- 3 4.53300- 4 2.40000+ 1 2.50000+ 1 1.56535- 2 4.59500- 4 2.40000+ 1 2.70000+ 1 4.75195- 3 4.67460- 4 2.40000+ 1 2.90000+ 1 1.99846- 2 5.13070- 4 2.40000+ 1 3.00000+ 1 3.45615- 3 5.41280- 4 2.40000+ 1 3.20000+ 1 4.99234- 3 6.06640- 4 2.40000+ 1 3.30000+ 1 2.83986- 3 6.10290- 4 2.40000+ 1 4.10000+ 1 6.57675- 4 6.28470- 4 2.40000+ 1 4.30000+ 1 9.10230- 4 6.38550- 4 2.40000+ 1 4.40000+ 1 1.65373- 4 6.41360- 4 2.50000+ 1 2.50000+ 1 7.32999- 4 4.65700- 4 2.50000+ 1 2.70000+ 1 2.88429- 3 4.73660- 4 2.50000+ 1 2.90000+ 1 3.34984- 2 5.19270- 4 2.50000+ 1 3.00000+ 1 1.98149- 3 5.47480- 4 2.50000+ 1 3.20000+ 1 1.07664- 2 6.12840- 4 2.50000+ 1 3.30000+ 1 9.43953- 4 6.16490- 4 2.50000+ 1 4.10000+ 1 3.10807- 4 6.34670- 4 2.50000+ 1 4.30000+ 1 1.48697- 3 6.44750- 4 2.50000+ 1 4.40000+ 1 9.01816- 5 6.47560- 4 2.70000+ 1 2.70000+ 1 9.95827- 4 4.81620- 4 2.70000+ 1 2.90000+ 1 1.35433- 2 5.27230- 4 2.70000+ 1 3.00000+ 1 2.51758- 3 5.55440- 4 2.70000+ 1 3.20000+ 1 2.93441- 3 6.20800- 4 2.70000+ 1 3.30000+ 1 2.06159- 3 6.24450- 4 2.70000+ 1 4.10000+ 1 2.17069- 4 6.42630- 4 2.70000+ 1 4.30000+ 1 5.97247- 4 6.52710- 4 2.70000+ 1 4.40000+ 1 1.22889- 4 6.55520- 4 2.90000+ 1 2.90000+ 1 1.26781- 2 5.72840- 4 2.90000+ 1 3.00000+ 1 3.34061- 2 6.01050- 4 2.90000+ 1 3.20000+ 1 2.22379- 2 6.66410- 4 2.90000+ 1 3.30000+ 1 3.69221- 2 6.70060- 4 2.90000+ 1 4.10000+ 1 2.74702- 3 6.88240- 4 2.90000+ 1 4.30000+ 1 1.38675- 3 6.98320- 4 2.90000+ 1 4.40000+ 1 1.78676- 3 7.01130- 4 3.00000+ 1 3.00000+ 1 1.17731- 3 6.29260- 4 3.00000+ 1 3.20000+ 1 4.32394- 3 6.94620- 4 3.00000+ 1 3.30000+ 1 1.75045- 3 6.98270- 4 3.00000+ 1 4.10000+ 1 3.42094- 4 7.16450- 4 3.00000+ 1 4.30000+ 1 1.40226- 3 7.26530- 4 3.00000+ 1 4.40000+ 1 1.09410- 4 7.29340- 4 3.20000+ 1 3.20000+ 1 3.64199- 4 7.59980- 4 3.20000+ 1 3.30000+ 1 6.24305- 4 7.63630- 4 3.20000+ 1 4.10000+ 1 1.34908- 4 7.81810- 4 3.20000+ 1 4.30000+ 1 2.49970- 4 7.91890- 4 3.20000+ 1 4.40000+ 1 5.91502- 5 7.94700- 4 3.30000+ 1 3.30000+ 1 6.30074- 5 7.67280- 4 3.30000+ 1 4.10000+ 1 4.57268- 5 7.85460- 4 3.30000+ 1 4.30000+ 1 2.69839- 4 7.95540- 4 3.30000+ 1 4.40000+ 1 1.35581- 5 7.98350- 4 4.10000+ 1 4.10000+ 1 2.28525- 6 8.03640- 4 4.10000+ 1 4.30000+ 1 1.51656- 5 8.13720- 4 4.10000+ 1 4.40000+ 1 2.28525- 6 8.16530- 4 4.30000+ 1 4.30000+ 1 1.74977- 6 8.23800- 4 4.30000+ 1 4.40000+ 1 7.79448- 6 8.26610- 4 4.40000+ 1 4.40000+ 1 1.59072- 7 8.29420- 4 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.53794- 5 2.09400- 4 2.20000+ 1 2.02274- 4 2.35420- 4 2.70000+ 1 2.01057- 4 5.23620- 4 3.20000+ 1 1.47042- 5 6.62800- 4 3.30000+ 1 8.65286- 5 6.66450- 4 4.10000+ 1 2.98280- 5 6.84630- 4 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 5.01166- 3 1.39000- 5 2.10000+ 1 2.50000+ 1 2.44004- 3 2.01000- 5 2.10000+ 1 2.70000+ 1 1.86061- 2 2.80600- 5 2.10000+ 1 2.90000+ 1 1.40818- 2 7.36700- 5 2.10000+ 1 3.00000+ 1 4.34456- 2 1.01880- 4 2.10000+ 1 3.20000+ 1 1.20325- 2 1.67240- 4 2.10000+ 1 3.30000+ 1 2.00826- 2 1.70890- 4 2.10000+ 1 4.10000+ 1 2.21910- 3 1.89070- 4 2.10000+ 1 4.30000+ 1 8.21481- 4 1.99150- 4 2.10000+ 1 4.40000+ 1 1.90889- 3 2.01960- 4 2.20000+ 1 2.40000+ 1 2.68064- 2 3.99200- 5 2.20000+ 1 2.50000+ 1 5.01917- 2 4.61200- 5 2.20000+ 1 2.70000+ 1 9.58687- 2 5.40800- 5 2.20000+ 1 2.90000+ 1 1.04632- 1 9.96900- 5 2.20000+ 1 3.00000+ 1 1.27151- 1 1.27900- 4 2.20000+ 1 3.20000+ 1 9.62417- 2 1.93260- 4 2.20000+ 1 3.30000+ 1 1.13157- 1 1.96910- 4 2.20000+ 1 4.10000+ 1 1.34660- 2 2.15090- 4 2.20000+ 1 4.30000+ 1 6.26476- 3 2.25170- 4 2.20000+ 1 4.40000+ 1 6.20001- 3 2.27980- 4 2.40000+ 1 2.40000+ 1 7.96277- 4 3.13960- 4 2.40000+ 1 2.50000+ 1 1.20495- 2 3.20160- 4 2.40000+ 1 2.70000+ 1 7.53617- 3 3.28120- 4 2.40000+ 1 2.90000+ 1 3.98941- 3 3.73730- 4 2.40000+ 1 3.00000+ 1 4.95190- 2 4.01940- 4 2.40000+ 1 3.20000+ 1 1.50564- 3 4.67300- 4 2.40000+ 1 3.30000+ 1 6.62164- 3 4.70950- 4 2.40000+ 1 4.10000+ 1 7.03418- 4 4.89130- 4 2.40000+ 1 4.30000+ 1 2.19445- 4 4.99210- 4 2.40000+ 1 4.40000+ 1 1.91540- 3 5.02020- 4 2.50000+ 1 2.50000+ 1 6.04359- 3 3.26360- 4 2.50000+ 1 2.70000+ 1 1.68351- 2 3.34320- 4 2.50000+ 1 2.90000+ 1 1.42828- 2 3.79930- 4 2.50000+ 1 3.00000+ 1 6.04189- 2 4.08140- 4 2.50000+ 1 3.20000+ 1 1.29283- 3 4.73500- 4 2.50000+ 1 3.30000+ 1 8.88674- 3 4.77150- 4 2.50000+ 1 4.10000+ 1 1.85340- 3 4.95330- 4 2.50000+ 1 4.30000+ 1 8.06187- 4 5.05410- 4 2.50000+ 1 4.40000+ 1 2.36035- 3 5.08220- 4 2.70000+ 1 2.70000+ 1 3.84149- 7 3.42280- 4 2.70000+ 1 2.90000+ 1 2.40087- 4 3.87890- 4 2.70000+ 1 3.00000+ 1 5.18577- 3 4.16100- 4 2.70000+ 1 3.20000+ 1 4.37920- 4 4.81460- 4 2.70000+ 1 3.30000+ 1 7.79804- 4 4.85110- 4 2.70000+ 1 4.10000+ 1 2.68884- 6 5.03290- 4 2.70000+ 1 4.30000+ 1 1.03718- 5 5.13370- 4 2.70000+ 1 4.40000+ 1 1.97065- 4 5.16180- 4 2.90000+ 1 2.90000+ 1 5.78193- 6 4.33500- 4 2.90000+ 1 3.00000+ 1 5.30129- 3 4.61710- 4 2.90000+ 1 3.20000+ 1 2.19356- 4 5.27070- 4 2.90000+ 1 3.30000+ 1 6.84793- 4 5.30720- 4 2.90000+ 1 4.10000+ 1 2.78253- 5 5.48900- 4 2.90000+ 1 4.30000+ 1 1.08412- 6 5.58980- 4 2.90000+ 1 4.40000+ 1 2.05261- 4 5.61790- 4 3.00000+ 1 3.00000+ 1 7.34105- 3 4.89920- 4 3.00000+ 1 3.20000+ 1 7.21724- 3 5.55280- 4 3.00000+ 1 3.30000+ 1 9.55633- 3 5.58930- 4 3.00000+ 1 4.10000+ 1 7.51453- 4 5.77110- 4 3.00000+ 1 4.30000+ 1 3.60150- 4 5.87190- 4 3.00000+ 1 4.40000+ 1 6.73751- 4 5.90000- 4 3.20000+ 1 3.20000+ 1 1.01100- 4 6.20640- 4 3.20000+ 1 3.30000+ 1 6.11397- 4 6.24290- 4 3.20000+ 1 4.10000+ 1 3.49965- 5 6.42470- 4 3.20000+ 1 4.30000+ 1 1.04686- 5 6.52550- 4 3.20000+ 1 4.40000+ 1 2.13567- 4 6.55360- 4 3.30000+ 1 3.30000+ 1 5.71015- 4 6.27940- 4 3.30000+ 1 4.10000+ 1 8.13598- 5 6.46120- 4 3.30000+ 1 4.30000+ 1 3.29030- 5 6.56200- 4 3.30000+ 1 4.40000+ 1 2.86261- 4 6.59010- 4 4.10000+ 1 4.30000+ 1 8.97370- 7 6.74380- 4 4.10000+ 1 4.40000+ 1 2.18366- 5 6.77190- 4 4.30000+ 1 4.40000+ 1 1.04690- 5 6.87270- 4 4.40000+ 1 4.40000+ 1 9.57189- 6 6.90080- 4 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.99710- 4 3.00060- 4 2.90000+ 1 7.31780- 5 3.59830- 4 3.00000+ 1 9.30390- 6 3.88040- 4 4.30000+ 1 4.20310- 6 4.85310- 4 4.40000+ 1 4.50200- 7 4.88120- 4 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 4.10000+ 1 1.19675- 3 5.69000- 6 2.20000+ 1 4.30000+ 1 2.94522- 4 1.57700- 5 2.20000+ 1 4.40000+ 1 6.72725- 4 1.85800- 5 2.40000+ 1 2.40000+ 1 9.19922- 2 1.04560- 4 2.40000+ 1 2.50000+ 1 3.01019- 1 1.10760- 4 2.40000+ 1 2.70000+ 1 7.96756- 2 1.18720- 4 2.40000+ 1 2.90000+ 1 6.75518- 2 1.64330- 4 2.40000+ 1 3.00000+ 1 9.00754- 2 1.92540- 4 2.40000+ 1 3.20000+ 1 8.27152- 2 2.57900- 4 2.40000+ 1 3.30000+ 1 8.44050- 2 2.61550- 4 2.40000+ 1 4.10000+ 1 1.10619- 2 2.79730- 4 2.40000+ 1 4.30000+ 1 4.19945- 3 2.89810- 4 2.40000+ 1 4.40000+ 1 4.62440- 3 2.92620- 4 2.50000+ 1 2.50000+ 1 4.59902- 3 1.16960- 4 2.50000+ 1 2.70000+ 1 6.95292- 3 1.24920- 4 2.50000+ 1 2.90000+ 1 1.33420- 2 1.70530- 4 2.50000+ 1 3.00000+ 1 5.99441- 3 1.98740- 4 2.50000+ 1 3.20000+ 1 9.23644- 2 2.64100- 4 2.50000+ 1 3.30000+ 1 3.74589- 3 2.67750- 4 2.50000+ 1 4.10000+ 1 7.20521- 4 2.85930- 4 2.50000+ 1 4.30000+ 1 5.84031- 4 2.96010- 4 2.50000+ 1 4.40000+ 1 2.56818- 4 2.98820- 4 2.70000+ 1 2.70000+ 1 7.96643- 4 1.32880- 4 2.70000+ 1 2.90000+ 1 1.76073- 3 1.78490- 4 2.70000+ 1 3.00000+ 1 1.55025- 3 2.06700- 4 2.70000+ 1 3.20000+ 1 8.19390- 3 2.72060- 4 2.70000+ 1 3.30000+ 1 2.09720- 3 2.75710- 4 2.70000+ 1 4.10000+ 1 1.26428- 4 2.93890- 4 2.70000+ 1 4.30000+ 1 7.39899- 5 3.03970- 4 2.70000+ 1 4.40000+ 1 6.28559- 5 3.06780- 4 2.90000+ 1 2.90000+ 1 3.18228- 4 2.24100- 4 2.90000+ 1 3.00000+ 1 1.83571- 3 2.52310- 4 2.90000+ 1 3.20000+ 1 4.91820- 3 3.17670- 4 2.90000+ 1 3.30000+ 1 7.20858- 4 3.21320- 4 2.90000+ 1 4.10000+ 1 9.08709- 5 3.39500- 4 2.90000+ 1 4.30000+ 1 2.76561- 5 3.49580- 4 2.90000+ 1 4.40000+ 1 6.35736- 5 3.52390- 4 3.00000+ 1 3.00000+ 1 7.14785- 4 2.80520- 4 3.00000+ 1 3.20000+ 1 9.95167- 3 3.45880- 4 3.00000+ 1 3.30000+ 1 8.70675- 4 3.49530- 4 3.00000+ 1 4.10000+ 1 5.63925- 5 3.67710- 4 3.00000+ 1 4.30000+ 1 6.10622- 5 3.77790- 4 3.00000+ 1 4.40000+ 1 4.74129- 5 3.80600- 4 3.20000+ 1 3.20000+ 1 5.18475- 3 4.11240- 4 3.20000+ 1 3.30000+ 1 1.01062- 2 4.14890- 4 3.20000+ 1 4.10000+ 1 8.25400- 4 4.33070- 4 3.20000+ 1 4.30000+ 1 3.03145- 4 4.43150- 4 3.20000+ 1 4.40000+ 1 5.07527- 4 4.45960- 4 3.30000+ 1 3.30000+ 1 1.91082- 4 4.18540- 4 3.30000+ 1 4.10000+ 1 4.84882- 5 4.36720- 4 3.30000+ 1 4.30000+ 1 1.90372- 5 4.46800- 4 3.30000+ 1 4.40000+ 1 3.34027- 5 4.49610- 4 4.10000+ 1 4.10000+ 1 3.23266- 6 4.54900- 4 4.10000+ 1 4.30000+ 1 3.23266- 6 4.64980- 4 4.10000+ 1 4.40000+ 1 2.15497- 6 4.67790- 4 4.30000+ 1 4.40000+ 1 2.15500- 6 4.77870- 4 4.40000+ 1 4.40000+ 1 7.18350- 7 4.80680- 4 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.22829- 5 2.74040- 4 2.50000+ 1 2.67569- 4 2.80240- 4 3.00000+ 1 6.51817- 5 3.62020- 4 4.40000+ 1 3.18318- 6 4.62100- 4 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 4.94977- 3 7.85400- 5 2.40000+ 1 2.50000+ 1 1.46406- 1 8.47400- 5 2.40000+ 1 2.70000+ 1 1.05210- 2 9.27000- 5 2.40000+ 1 2.90000+ 1 6.76121- 3 1.38310- 4 2.40000+ 1 3.00000+ 1 1.37697- 2 1.66520- 4 2.40000+ 1 3.20000+ 1 5.19954- 3 2.31880- 4 2.40000+ 1 3.30000+ 1 8.22208- 2 2.35530- 4 2.40000+ 1 4.10000+ 1 1.23188- 3 2.53710- 4 2.40000+ 1 4.30000+ 1 3.96965- 4 2.63790- 4 2.40000+ 1 4.40000+ 1 6.01617- 4 2.66600- 4 2.50000+ 1 2.50000+ 1 1.33987- 1 9.09400- 5 2.50000+ 1 2.70000+ 1 8.97711- 2 9.89000- 5 2.50000+ 1 2.90000+ 1 9.44267- 2 1.44510- 4 2.50000+ 1 3.00000+ 1 9.28298- 2 1.72720- 4 2.50000+ 1 3.20000+ 1 7.97570- 2 2.38080- 4 2.50000+ 1 3.30000+ 1 1.49186- 1 2.41730- 4 2.50000+ 1 4.10000+ 1 1.24588- 2 2.59910- 4 2.50000+ 1 4.30000+ 1 5.63990- 3 2.69990- 4 2.50000+ 1 4.40000+ 1 4.80027- 3 2.72800- 4 2.70000+ 1 2.70000+ 1 1.40934- 3 1.06860- 4 2.70000+ 1 2.90000+ 1 1.77580- 3 1.52470- 4 2.70000+ 1 3.00000+ 1 3.33673- 3 1.80680- 4 2.70000+ 1 3.20000+ 1 2.72390- 3 2.46040- 4 2.70000+ 1 3.30000+ 1 1.09518- 2 2.49690- 4 2.70000+ 1 4.10000+ 1 2.18946- 4 2.67870- 4 2.70000+ 1 4.30000+ 1 7.78835- 5 2.77950- 4 2.70000+ 1 4.40000+ 1 1.33514- 4 2.80760- 4 2.90000+ 1 2.90000+ 1 2.12202- 4 1.98080- 4 2.90000+ 1 3.00000+ 1 3.12293- 3 2.26290- 4 2.90000+ 1 3.20000+ 1 3.66369- 4 2.91650- 4 2.90000+ 1 3.30000+ 1 7.63146- 3 2.95300- 4 2.90000+ 1 4.10000+ 1 8.70236- 5 3.13480- 4 2.90000+ 1 4.30000+ 1 1.74856- 5 3.23560- 4 2.90000+ 1 4.40000+ 1 1.10470- 4 3.26370- 4 3.00000+ 1 3.00000+ 1 1.04701- 3 2.54500- 4 3.00000+ 1 3.20000+ 1 1.26410- 3 3.19860- 4 3.00000+ 1 3.30000+ 1 1.01921- 2 3.23510- 4 3.00000+ 1 4.10000+ 1 1.04501- 4 3.41690- 4 3.00000+ 1 4.30000+ 1 8.22568- 5 3.51770- 4 3.00000+ 1 4.40000+ 1 6.99386- 5 3.54580- 4 3.20000+ 1 3.20000+ 1 9.61630- 5 3.85220- 4 3.20000+ 1 3.30000+ 1 8.40352- 3 3.88870- 4 3.20000+ 1 4.10000+ 1 6.07974- 5 4.07050- 4 3.20000+ 1 4.30000+ 1 1.58945- 5 4.17130- 4 3.20000+ 1 4.40000+ 1 4.76845- 5 4.19940- 4 3.30000+ 1 3.30000+ 1 9.23617- 3 3.92520- 4 3.30000+ 1 4.10000+ 1 9.54434- 4 4.10700- 4 3.30000+ 1 4.30000+ 1 4.40261- 4 4.20780- 4 3.30000+ 1 4.40000+ 1 5.28080- 4 4.23590- 4 4.10000+ 1 4.10000+ 1 5.56331- 6 4.28880- 4 4.10000+ 1 4.30000+ 1 3.57644- 6 4.38960- 4 4.10000+ 1 4.40000+ 1 4.37119- 6 4.41770- 4 4.30000+ 1 4.40000+ 1 2.78159- 6 4.51850- 4 4.40000+ 1 4.40000+ 1 1.19209- 6 4.54660- 4 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.01130- 5 1.53340- 4 3.30000+ 1 6.68807- 7 1.56990- 4 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 1.18314- 1 1.76100- 5 2.90000+ 1 3.30000+ 1 7.20072- 2 2.12600- 5 2.90000+ 1 4.10000+ 1 2.43642- 2 3.94400- 5 2.90000+ 1 4.30000+ 1 7.18211- 3 4.95200- 5 2.90000+ 1 4.40000+ 1 5.59118- 3 5.23300- 5 3.00000+ 1 3.20000+ 1 1.36896- 1 4.58200- 5 3.00000+ 1 3.30000+ 1 4.67180- 2 4.94700- 5 3.00000+ 1 4.10000+ 1 9.81496- 3 6.76500- 5 3.00000+ 1 4.30000+ 1 7.07040- 3 7.77300- 5 3.00000+ 1 4.40000+ 1 3.08961- 3 8.05400- 5 3.20000+ 1 3.20000+ 1 2.03705- 1 1.11180- 4 3.20000+ 1 3.30000+ 1 2.89807- 1 1.14830- 4 3.20000+ 1 4.10000+ 1 1.28616- 2 1.33010- 4 3.20000+ 1 4.30000+ 1 1.38673- 2 1.43090- 4 3.20000+ 1 4.40000+ 1 1.00873- 2 1.45900- 4 3.30000+ 1 3.30000+ 1 2.28633- 2 1.18480- 4 3.30000+ 1 4.10000+ 1 2.28482- 3 1.36660- 4 3.30000+ 1 4.30000+ 1 9.12522- 3 1.46740- 4 3.30000+ 1 4.40000+ 1 3.43451- 3 1.49550- 4 4.10000+ 1 4.10000+ 1 1.43695- 5 1.54840- 4 4.10000+ 1 4.30000+ 1 4.02361- 4 1.64920- 4 4.10000+ 1 4.40000+ 1 2.44297- 4 1.67730- 4 4.30000+ 1 4.30000+ 1 2.87397- 5 1.75000- 4 4.30000+ 1 4.40000+ 1 1.86809- 4 1.77810- 4 4.40000+ 1 4.40000+ 1 2.87409- 5 1.80620- 4 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 9.74627- 6 1.50790- 4 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 2.43101- 2 1.14100- 5 2.90000+ 1 3.30000+ 1 8.62044- 2 1.50600- 5 2.90000+ 1 4.10000+ 1 2.11536- 3 3.32400- 5 2.90000+ 1 4.30000+ 1 2.75906- 4 4.33200- 5 2.90000+ 1 4.40000+ 1 4.61377- 3 4.61300- 5 3.00000+ 1 3.20000+ 1 6.39374- 2 3.96200- 5 3.00000+ 1 3.30000+ 1 2.05617- 1 4.32700- 5 3.00000+ 1 4.10000+ 1 2.59967- 2 6.14500- 5 3.00000+ 1 4.30000+ 1 4.81316- 3 7.15300- 5 3.00000+ 1 4.40000+ 1 1.30143- 2 7.43400- 5 3.20000+ 1 3.20000+ 1 1.29832- 2 1.04980- 4 3.20000+ 1 3.30000+ 1 2.22879- 1 1.08630- 4 3.20000+ 1 4.10000+ 1 1.76280- 3 1.26810- 4 3.20000+ 1 4.30000+ 1 9.81020- 4 1.36890- 4 3.20000+ 1 4.40000+ 1 7.37278- 3 1.39700- 4 3.30000+ 1 3.30000+ 1 2.80731- 1 1.12280- 4 3.30000+ 1 4.10000+ 1 1.46071- 2 1.30460- 4 3.30000+ 1 4.30000+ 1 7.31169- 3 1.40540- 4 3.30000+ 1 4.40000+ 1 1.95890- 2 1.43350- 4 4.10000+ 1 4.10000+ 1 1.53284- 5 1.48640- 4 4.10000+ 1 4.30000+ 1 1.37952- 4 1.58720- 4 4.10000+ 1 4.40000+ 1 4.75177- 4 1.61530- 4 4.30000+ 1 4.40000+ 1 1.07300- 4 1.71610- 4 4.40000+ 1 4.40000+ 1 1.37950- 4 1.74420- 4 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.20277- 6 4.56100- 5 3.00000+ 1 1.04889- 5 7.38200- 5 4.30000+ 1 3.88572- 7 1.71090- 4 4.40000+ 1 8.53792- 9 1.73900- 4 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 1.90049- 2 3.45000- 6 2.90000+ 1 3.30000+ 1 1.06472- 1 7.10000- 6 2.90000+ 1 4.10000+ 1 6.56478- 3 2.52800- 5 2.90000+ 1 4.30000+ 1 1.87936- 3 3.53600- 5 2.90000+ 1 4.40000+ 1 3.88851- 3 3.81700- 5 3.00000+ 1 3.20000+ 1 3.45918- 1 3.16600- 5 3.00000+ 1 3.30000+ 1 3.06255- 1 3.53100- 5 3.00000+ 1 4.10000+ 1 1.71947- 2 5.34900- 5 3.00000+ 1 4.30000+ 1 8.88802- 3 6.35700- 5 3.00000+ 1 4.40000+ 1 8.13091- 3 6.63800- 5 3.20000+ 1 3.20000+ 1 2.31361- 3 9.70200- 5 3.20000+ 1 3.30000+ 1 1.22019- 1 1.00670- 4 3.20000+ 1 4.10000+ 1 8.14773- 3 1.18850- 4 3.20000+ 1 4.30000+ 1 5.12091- 4 1.28930- 4 3.20000+ 1 4.40000+ 1 3.82714- 3 1.31740- 4 3.30000+ 1 3.30000+ 1 1.88869- 2 1.04320- 4 3.30000+ 1 4.10000+ 1 6.67486- 3 1.22500- 4 3.30000+ 1 4.30000+ 1 1.48189- 3 1.32580- 4 3.30000+ 1 4.40000+ 1 1.43017- 3 1.35390- 4 4.10000+ 1 4.10000+ 1 1.66251- 3 1.40680- 4 4.10000+ 1 4.30000+ 1 1.02816- 3 1.50760- 4 4.10000+ 1 4.40000+ 1 1.44921- 3 1.53570- 4 4.30000+ 1 4.30000+ 1 2.89422- 4 1.60840- 4 4.30000+ 1 4.40000+ 1 3.79606- 3 1.63650- 4 4.40000+ 1 4.40000+ 1 2.27399- 3 1.66460- 4 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 8.20070- 6 9.35700- 5 4.10000+ 1 7.61089- 7 1.15400- 4 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 4.10000+ 1 1.69368- 2 7.88000- 6 3.00000+ 1 4.30000+ 1 2.05788- 2 1.79600- 5 3.00000+ 1 4.40000+ 1 1.63064- 2 2.07700- 5 3.20000+ 1 3.20000+ 1 1.56176- 1 5.14100- 5 3.20000+ 1 3.30000+ 1 6.81235- 1 5.50600- 5 3.20000+ 1 4.10000+ 1 3.37732- 2 7.32400- 5 3.20000+ 1 4.30000+ 1 1.25569- 2 8.33200- 5 3.20000+ 1 4.40000+ 1 1.97681- 2 8.61300- 5 3.30000+ 1 3.30000+ 1 2.52327- 2 5.87100- 5 3.30000+ 1 4.10000+ 1 2.46190- 3 7.68900- 5 3.30000+ 1 4.30000+ 1 1.08971- 2 8.69700- 5 3.30000+ 1 4.40000+ 1 2.38121- 3 8.97800- 5 4.10000+ 1 4.10000+ 1 2.72127- 5 9.50700- 5 4.10000+ 1 4.30000+ 1 8.50796- 4 1.05150- 4 4.10000+ 1 4.40000+ 1 1.19801- 4 1.07960- 4 4.30000+ 1 4.30000+ 1 1.27297- 4 1.15230- 4 4.30000+ 1 4.40000+ 1 5.42993- 4 1.18040- 4 4.40000+ 1 4.40000+ 1 1.84540- 5 1.20850- 4 1 84000 0 7 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.38390- 7 6.53600- 5 3.30000+ 1 1.46730- 6 6.90100- 5 4.10000+ 1 3.14951- 7 8.71900- 5 1 84000 0 9 2.09000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 2.48997- 2 2.32000- 5 3.20000+ 1 3.30000+ 1 5.50909- 1 2.68500- 5 3.20000+ 1 4.10000+ 1 7.18462- 3 4.50300- 5 3.20000+ 1 4.30000+ 1 1.91186- 3 5.51100- 5 3.20000+ 1 4.40000+ 1 6.07617- 3 5.79200- 5 3.30000+ 1 3.30000+ 1 3.46163- 1 3.05000- 5 3.30000+ 1 4.10000+ 1 3.02109- 2 4.86800- 5 3.30000+ 1 4.30000+ 1 1.45804- 2 5.87600- 5 3.30000+ 1 4.40000+ 1 1.65766- 2 6.15700- 5 4.10000+ 1 4.10000+ 1 1.76771- 4 6.68600- 5 4.10000+ 1 4.30000+ 1 1.72638- 4 7.69400- 5 4.10000+ 1 4.40000+ 1 6.63694- 4 7.97500- 5 4.30000+ 1 4.40000+ 1 2.54761- 4 8.98300- 5 4.40000+ 1 4.40000+ 1 2.17271- 4 9.26400- 5 1 85000 0 0 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 1.67000+ 0 4.40000+ 1 3.33000+ 0 1 85000 0 0 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.60680- 2 3.00000+ 0 1.74730- 2 5.00000+ 0 1.68400- 2 6.00000+ 0 1.42150- 2 8.00000+ 0 4.28550- 3 1.00000+ 1 3.99180- 3 1.10000+ 1 3.39850- 3 1.30000+ 1 2.91140- 3 1.40000+ 1 2.78620- 3 1.60000+ 1 1.02140- 3 1.80000+ 1 8.90650- 4 1.90000+ 1 7.41710- 4 2.10000+ 1 5.27080- 4 2.20000+ 1 4.99280- 4 2.40000+ 1 2.17930- 4 2.50000+ 1 2.11200- 4 2.70000+ 1 1.96270- 4 2.90000+ 1 1.48780- 4 3.00000+ 1 1.17820- 4 3.20000+ 1 4.92000- 5 3.30000+ 1 4.50600- 5 4.10000+ 1 2.30100- 5 4.30000+ 1 1.19400- 5 4.40000+ 1 8.54000- 6 1 85000 0 0 2.10000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.37970- 1 3.00000+ 0 3.36340- 2 5.00000+ 0 3.36210- 2 6.00000+ 0 2.31830- 2 8.00000+ 0 1.07650- 2 1.00000+ 1 1.06390- 2 1.10000+ 1 8.02650- 3 1.30000+ 1 7.87290- 3 1.40000+ 1 7.34590- 3 1.60000+ 1 3.61860- 3 1.80000+ 1 3.47810- 3 1.90000+ 1 2.68360- 3 2.10000+ 1 2.45420- 3 2.20000+ 1 2.29790- 3 2.40000+ 1 1.93170- 3 2.50000+ 1 1.87910- 3 2.70000+ 1 1.01830- 3 2.90000+ 1 9.07160- 4 3.00000+ 1 6.94800- 4 3.20000+ 1 4.94290- 4 3.30000+ 1 4.57940- 4 4.10000+ 1 1.89630- 4 4.30000+ 1 1.29520- 4 4.40000+ 1 8.73200- 5 1 85000 0 0 2.10000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.08230-11 3.00000+ 0 3.35650-10 5.00000+ 0 2.73940-10 6.00000+ 0 3.23100-10 8.00000+ 0 8.71560-10 1.00000+ 1 8.20970-10 1.10000+ 1 9.10180-10 1.30000+ 1 7.87760-10 1.40000+ 1 8.14800-10 1.60000+ 1 1.91070- 9 1.80000+ 1 1.90840- 9 1.90000+ 1 2.09180- 9 2.10000+ 1 2.09530- 9 2.20000+ 1 2.15210- 9 2.40000+ 1 2.15630- 9 2.50000+ 1 2.18600- 9 2.70000+ 1 4.12800- 9 2.90000+ 1 4.35200- 9 3.00000+ 1 4.79610- 9 3.20000+ 1 5.67270- 9 3.30000+ 1 5.85420- 9 4.10000+ 1 1.00090- 8 4.30000+ 1 1.19750- 8 4.40000+ 1 1.39750- 8 1 85000 0 0 2.10000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.63430- 5 3.00000+ 0 1.62330- 6 5.00000+ 0 2.85950- 6 6.00000+ 0 2.45180- 6 8.00000+ 0 6.62700- 8 1.00000+ 1 7.38830- 8 1.10000+ 1 8.07750- 8 1.30000+ 1 1.02910- 7 1.40000+ 1 9.57680- 8 1.60000+ 1 2.88550- 9 1.80000+ 1 4.06840- 9 1.90000+ 1 2.67640- 9 2.10000+ 1 2.26450- 9 2.20000+ 1 1.82920- 9 2.40000+ 1 4.32270-11 2.50000+ 1 3.94730-11 2.70000+ 1 1.70540-10 2.90000+ 1 3.58000-10 3.00000+ 1 1.90920-10 1 85000 0 0 2.10000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.29650- 6 3.00000+ 0 1.27300- 5 5.00000+ 0 3.60260- 6 6.00000+ 0 3.99040- 6 8.00000+ 0 1.94900- 5 1.00000+ 1 1.37930- 5 1.10000+ 1 1.10430- 5 1.30000+ 1 2.71800- 6 1.40000+ 1 2.68390- 6 1.60000+ 1 1.49710- 5 1.80000+ 1 1.45010- 5 1.90000+ 1 9.20010- 6 2.10000+ 1 7.39380- 6 2.20000+ 1 6.67460- 6 2.40000+ 1 1.71350- 7 2.50000+ 1 1.61210- 7 2.70000+ 1 2.62290- 5 2.90000+ 1 8.76000- 6 3.00000+ 1 1.83400- 5 1 85000 0 0 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 4.94470- 4 3.00000+ 0 7.08776- 4 5.00000+ 0 5.03847- 4 6.00000+ 0 4.98396- 4 8.00000+ 0 5.16946- 4 1.00000+ 1 4.49366- 4 1.10000+ 1 3.98740- 4 1.30000+ 1 3.05380- 4 1.40000+ 1 2.97113- 4 1.60000+ 1 2.77266- 4 1.80000+ 1 2.63014- 4 1.90000+ 1 2.47381- 4 2.10000+ 1 1.93108- 4 2.20000+ 1 1.85824- 4 2.40000+ 1 1.10725- 4 2.50000+ 1 1.08480- 4 2.70000+ 1 1.26199- 4 2.90000+ 1 9.20478- 5 3.00000+ 1 8.98699- 5 3.20000+ 1 4.92000- 5 3.30000+ 1 4.50600- 5 4.10000+ 1 2.30100- 5 4.30000+ 1 1.19400- 5 4.40000+ 1 8.54000- 6 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.35928+ 0 3.00000+ 0 4.81307- 1 5.00000+ 0 5.40845- 1 6.00000+ 0 4.40633- 1 8.00000+ 0 4.17802- 2 1.00000+ 1 4.17161- 2 1.10000+ 1 3.88191- 2 1.30000+ 1 4.49097- 2 1.40000+ 1 4.17253- 2 1.60000+ 1 1.40165- 3 1.80000+ 1 1.64853- 3 1.90000+ 1 8.92533- 4 2.10000+ 1 4.46678- 4 2.20000+ 1 3.99199- 4 2.40000+ 1 1.82705- 5 2.50000+ 1 1.56000- 5 2.70000+ 1 1.67122- 5 2.90000+ 1 1.15508- 5 3.00000+ 1 2.44757- 6 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.50033- 2 3.00000+ 0 5.29867- 3 5.00000+ 0 7.04049- 3 6.00000+ 0 4.68700- 3 8.00000+ 0 1.10247- 4 1.00000+ 1 1.10675- 4 1.10000+ 1 1.00373- 4 1.30000+ 1 1.17732- 4 1.40000+ 1 1.05381- 4 1.60000+ 1 6.88582- 7 1.80000+ 1 7.01544- 7 1.90000+ 1 3.64920- 7 2.10000+ 1 1.42038- 7 2.20000+ 1 1.19388- 7 2.40000+ 1 2.84022- 9 2.50000+ 1 2.42970- 9 2.70000+ 1 1.36975- 9 2.90000+ 1 1.17417- 9 3.00000+ 1 1.87187-10 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.01669+ 1 3.00000+ 0 1.50091+ 1 5.00000+ 0 1.03629+ 1 6.00000+ 0 1.02621+ 1 8.00000+ 0 1.06904+ 1 1.00000+ 1 9.14021+ 0 1.10000+ 1 8.01902+ 0 1.30000+ 1 5.87496+ 0 1.40000+ 1 5.72123+ 0 1.60000+ 1 5.26964+ 0 1.80000+ 1 4.93084+ 0 1.90000+ 1 4.59368+ 0 2.10000+ 1 3.33765+ 0 2.20000+ 1 3.20745+ 0 2.40000+ 1 1.48154+ 0 2.50000+ 1 1.47238+ 0 2.70000+ 1 1.82767+ 0 2.90000+ 1 1.04947+ 0 3.00000+ 1 9.99998- 1 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.05703- 2 3.00000+ 0 1.14656- 2 5.00000+ 0 9.29566- 3 6.00000+ 0 9.02961- 3 8.00000+ 0 3.65831- 3 1.00000+ 1 3.43176- 3 1.10000+ 1 2.89939- 3 1.30000+ 1 2.48829- 3 1.40000+ 1 2.38371- 3 1.60000+ 1 7.43446- 4 1.80000+ 1 6.26934- 4 1.90000+ 1 4.93964- 4 2.10000+ 1 3.33830- 4 2.20000+ 1 3.13337- 4 2.40000+ 1 1.07203- 4 2.50000+ 1 1.02717- 4 2.70000+ 1 7.00695- 5 2.90000+ 1 5.67311- 5 3.00000+ 1 2.79500- 5 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.84130- 1 7.92280- 2 6.00000+ 0 4.70780- 1 8.18530- 2 1.00000+ 1 5.30450- 2 9.20762- 2 1.10000+ 1 1.02920- 1 9.26695- 2 1.30000+ 1 1.56390- 3 9.31566- 2 1.40000+ 1 1.86170- 3 9.32818- 2 1.80000+ 1 1.28500- 2 9.51773- 2 1.90000+ 1 2.54420- 2 9.53263- 2 2.10000+ 1 4.29920- 4 9.55409- 2 2.20000+ 1 5.11550- 4 9.55687- 2 2.90000+ 1 3.02330- 3 9.59192- 2 3.00000+ 1 5.81000- 3 9.59502- 2 3.20000+ 1 6.75561- 5 9.60188- 2 3.30000+ 1 7.91091- 5 9.60229- 2 4.30000+ 1 2.63210- 4 9.60561- 2 4.40000+ 1 4.41850- 4 9.60595- 2 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.07818- 3 6.11220- 2 3.00000+ 0 5.00000+ 0 6.78526- 3 6.17550- 2 3.00000+ 0 6.00000+ 0 3.31334- 3 6.43800- 2 3.00000+ 0 8.00000+ 0 1.65941- 3 7.43095- 2 3.00000+ 0 1.00000+ 1 1.47211- 3 7.46032- 2 3.00000+ 0 1.10000+ 1 7.89704- 4 7.51965- 2 3.00000+ 0 1.30000+ 1 6.76351- 5 7.56836- 2 3.00000+ 0 1.40000+ 1 4.76786- 5 7.58088- 2 3.00000+ 0 1.60000+ 1 4.24340- 4 7.75736- 2 3.00000+ 0 1.80000+ 1 3.68796- 4 7.77043- 2 3.00000+ 0 1.90000+ 1 1.98193- 4 7.78533- 2 3.00000+ 0 2.10000+ 1 1.84772- 5 7.80679- 2 3.00000+ 0 2.20000+ 1 1.28568- 5 7.80957- 2 3.00000+ 0 2.40000+ 1 4.35806- 8 7.83771- 2 3.00000+ 0 2.50000+ 1 4.35806- 8 7.83838- 2 3.00000+ 0 2.70000+ 1 9.64419- 5 7.83987- 2 3.00000+ 0 2.90000+ 1 7.66576- 5 7.84462- 2 3.00000+ 0 3.00000+ 1 4.01783- 5 7.84772- 2 3.00000+ 0 3.20000+ 1 2.78911- 6 7.85458- 2 3.00000+ 0 3.30000+ 1 1.87399- 6 7.85499- 2 5.00000+ 0 5.00000+ 0 3.23871- 4 6.23880- 2 5.00000+ 0 6.00000+ 0 5.68169- 3 6.50130- 2 5.00000+ 0 8.00000+ 0 1.20628- 3 7.49425- 2 5.00000+ 0 1.00000+ 1 1.23453- 4 7.52362- 2 5.00000+ 0 1.10000+ 1 1.13681- 3 7.58295- 2 5.00000+ 0 1.30000+ 1 6.91157- 5 7.63166- 2 5.00000+ 0 1.40000+ 1 1.72707- 4 7.64418- 2 5.00000+ 0 1.60000+ 1 2.99084- 4 7.82066- 2 5.00000+ 0 1.80000+ 1 3.00249- 5 7.83373- 2 5.00000+ 0 1.90000+ 1 2.73846- 4 7.84863- 2 5.00000+ 0 2.10000+ 1 1.81292- 5 7.87009- 2 5.00000+ 0 2.20000+ 1 4.54962- 5 7.87287- 2 5.00000+ 0 2.40000+ 1 5.66509- 7 7.90101- 2 5.00000+ 0 2.50000+ 1 8.27976- 7 7.90168- 2 5.00000+ 0 2.70000+ 1 6.74604- 5 7.90317- 2 5.00000+ 0 2.90000+ 1 6.18810- 6 7.90792- 2 5.00000+ 0 3.00000+ 1 5.49955- 5 7.91102- 2 5.00000+ 0 3.20000+ 1 2.70197- 6 7.91788- 2 5.00000+ 0 3.30000+ 1 6.66735- 6 7.91829- 2 6.00000+ 0 6.00000+ 0 2.39658- 3 6.76380- 2 6.00000+ 0 8.00000+ 0 5.30243- 4 7.75675- 2 6.00000+ 0 1.00000+ 1 1.01778- 3 7.78612- 2 6.00000+ 0 1.10000+ 1 9.90598- 4 7.84545- 2 6.00000+ 0 1.30000+ 1 1.90052- 4 7.89416- 2 6.00000+ 0 1.40000+ 1 1.55877- 4 7.90668- 2 6.00000+ 0 1.60000+ 1 1.28211- 4 8.08316- 2 6.00000+ 0 1.80000+ 1 2.44341- 4 8.09623- 2 6.00000+ 0 1.90000+ 1 2.40769- 4 8.11113- 2 6.00000+ 0 2.10000+ 1 5.03763- 5 8.13259- 2 6.00000+ 0 2.20000+ 1 4.12255- 5 8.13537- 2 6.00000+ 0 2.40000+ 1 8.71554- 7 8.16351- 2 6.00000+ 0 2.50000+ 1 9.15137- 7 8.16418- 2 6.00000+ 0 2.70000+ 1 2.87177- 5 8.16567- 2 6.00000+ 0 2.90000+ 1 5.02884- 5 8.17042- 2 6.00000+ 0 3.00000+ 1 4.84605- 5 8.17352- 2 6.00000+ 0 3.20000+ 1 7.53894- 6 8.18038- 2 6.00000+ 0 3.30000+ 1 6.05748- 6 8.18079- 2 8.00000+ 0 8.00000+ 0 1.66023- 4 8.74970- 2 8.00000+ 0 1.00000+ 1 2.62039- 4 8.77907- 2 8.00000+ 0 1.10000+ 1 1.27376- 4 8.83840- 2 8.00000+ 0 1.30000+ 1 1.06331- 5 8.88711- 2 8.00000+ 0 1.40000+ 1 7.01596- 6 8.89963- 2 8.00000+ 0 1.60000+ 1 8.46285- 5 9.07611- 2 8.00000+ 0 1.80000+ 1 6.56729- 5 9.08918- 2 8.00000+ 0 1.90000+ 1 3.20297- 5 9.10408- 2 8.00000+ 0 2.10000+ 1 2.91970- 6 9.12554- 2 8.00000+ 0 2.20000+ 1 1.87392- 6 9.12832- 2 8.00000+ 0 2.70000+ 1 1.92184- 5 9.15862- 2 8.00000+ 0 2.90000+ 1 1.36400- 5 9.16337- 2 8.00000+ 0 3.00000+ 1 6.49299- 6 9.16647- 2 8.00000+ 0 3.20000+ 1 4.35790- 7 9.17333- 2 8.00000+ 0 3.30000+ 1 2.61468- 7 9.17374- 2 1.00000+ 1 1.00000+ 1 1.13736- 5 8.80844- 2 1.00000+ 1 1.10000+ 1 2.09785- 4 8.86777- 2 1.00000+ 1 1.30000+ 1 1.09819- 5 8.91648- 2 1.00000+ 1 1.40000+ 1 2.31835- 5 8.92900- 2 1.00000+ 1 1.60000+ 1 6.49745- 5 9.10548- 2 1.00000+ 1 1.80000+ 1 5.49079- 6 9.11855- 2 1.00000+ 1 1.90000+ 1 5.08551- 5 9.13345- 2 1.00000+ 1 2.10000+ 1 2.87620- 6 9.15491- 2 1.00000+ 1 2.20000+ 1 6.18813- 6 9.15769- 2 1.00000+ 1 2.40000+ 1 8.71564- 8 9.18583- 2 1.00000+ 1 2.50000+ 1 8.71564- 8 9.18650- 2 1.00000+ 1 2.70000+ 1 1.46426- 5 9.18799- 2 1.00000+ 1 2.90000+ 1 1.13307- 6 9.19274- 2 1.00000+ 1 3.00000+ 1 1.02408- 5 9.19584- 2 1.00000+ 1 3.20000+ 1 4.35794- 7 9.20270- 2 1.00000+ 1 3.30000+ 1 9.15148- 7 9.20311- 2 1.10000+ 1 1.10000+ 1 1.03499- 4 8.92710- 2 1.10000+ 1 1.30000+ 1 3.15951- 5 8.97581- 2 1.10000+ 1 1.40000+ 1 2.50579- 5 8.98833- 2 1.10000+ 1 1.60000+ 1 3.08531- 5 9.16481- 2 1.10000+ 1 1.80000+ 1 5.06831- 5 9.17788- 2 1.10000+ 1 1.90000+ 1 5.04215- 5 9.19278- 2 1.10000+ 1 2.10000+ 1 8.45424- 6 9.21424- 2 1.10000+ 1 2.20000+ 1 6.66746- 6 9.21702- 2 1.10000+ 1 2.40000+ 1 1.30742- 7 9.24516- 2 1.10000+ 1 2.50000+ 1 1.30742- 7 9.24583- 2 1.10000+ 1 2.70000+ 1 6.92894- 6 9.24732- 2 1.10000+ 1 2.90000+ 1 1.04591- 5 9.25207- 2 1.10000+ 1 3.00000+ 1 1.01538- 5 9.25517- 2 1.10000+ 1 3.20000+ 1 1.26379- 6 9.26203- 2 1.10000+ 1 3.30000+ 1 1.00233- 6 9.26244- 2 1.30000+ 1 1.30000+ 1 8.71564- 8 9.02452- 2 1.30000+ 1 1.40000+ 1 3.57343- 6 9.03704- 2 1.30000+ 1 1.60000+ 1 2.57107- 6 9.21352- 2 1.30000+ 1 1.80000+ 1 2.57107- 6 9.22659- 2 1.30000+ 1 1.90000+ 1 7.32128- 6 9.24149- 2 1.30000+ 1 2.10000+ 1 4.35795- 8 9.26295- 2 1.30000+ 1 2.20000+ 1 9.15148- 7 9.26573- 2 1.30000+ 1 2.70000+ 1 5.66512- 7 9.29603- 2 1.30000+ 1 2.90000+ 1 5.22929- 7 9.30078- 2 1.30000+ 1 3.00000+ 1 1.43810- 6 9.30388- 2 1.30000+ 1 3.30000+ 1 1.30740- 7 9.31115- 2 1.40000+ 1 1.40000+ 1 8.71561- 7 9.04956- 2 1.40000+ 1 1.60000+ 1 1.69948- 6 9.22604- 2 1.40000+ 1 1.80000+ 1 5.22927- 6 9.23911- 2 1.40000+ 1 1.90000+ 1 5.75227- 6 9.25401- 2 1.40000+ 1 2.10000+ 1 9.15145- 7 9.27547- 2 1.40000+ 1 2.20000+ 1 4.35793- 7 9.27825- 2 1.40000+ 1 2.70000+ 1 3.92208- 7 9.30855- 2 1.40000+ 1 2.90000+ 1 1.04589- 6 9.31330- 2 1.40000+ 1 3.00000+ 1 1.13307- 6 9.31640- 2 1.40000+ 1 3.20000+ 1 1.30740- 7 9.32326- 2 1.40000+ 1 3.30000+ 1 4.35793- 8 9.32367- 2 1.60000+ 1 1.60000+ 1 1.07639- 5 9.40252- 2 1.60000+ 1 1.80000+ 1 1.62991- 5 9.41559- 2 1.60000+ 1 1.90000+ 1 7.75714- 6 9.43049- 2 1.60000+ 1 2.10000+ 1 6.97262- 7 9.45195- 2 1.60000+ 1 2.20000+ 1 4.35795- 7 9.45473- 2 1.60000+ 1 2.70000+ 1 4.88063- 6 9.48503- 2 1.60000+ 1 2.90000+ 1 3.39911- 6 9.48978- 2 1.60000+ 1 3.00000+ 1 1.56880- 6 9.49288- 2 1.60000+ 1 3.20000+ 1 8.71565- 8 9.49974- 2 1.60000+ 1 3.30000+ 1 8.71565- 8 9.50015- 2 1.80000+ 1 1.80000+ 1 6.53689- 7 9.42867- 2 1.80000+ 1 1.90000+ 1 1.22894- 5 9.44356- 2 1.80000+ 1 2.10000+ 1 6.97270- 7 9.46503- 2 1.80000+ 1 2.20000+ 1 1.39448- 6 9.46781- 2 1.80000+ 1 2.70000+ 1 3.66065- 6 9.49811- 2 1.80000+ 1 2.90000+ 1 2.61474- 7 9.50286- 2 1.80000+ 1 3.00000+ 1 2.48403- 6 9.50595- 2 1.80000+ 1 3.20000+ 1 8.71575- 8 9.51281- 2 1.80000+ 1 3.30000+ 1 2.17889- 7 9.51323- 2 1.90000+ 1 1.90000+ 1 6.09649- 6 9.45846- 2 1.90000+ 1 2.10000+ 1 1.94582- 6 9.47992- 2 1.90000+ 1 2.20000+ 1 1.51338- 6 9.48270- 2 1.90000+ 1 2.40000+ 1 4.32397- 8 9.51084- 2 1.90000+ 1 2.50000+ 1 4.32397- 8 9.51151- 2 1.90000+ 1 2.70000+ 1 1.72954- 6 9.51300- 2 1.90000+ 1 2.90000+ 1 2.50782- 6 9.51775- 2 1.90000+ 1 3.00000+ 1 2.46463- 6 9.52085- 2 1.90000+ 1 3.20000+ 1 3.02665- 7 9.52771- 2 1.90000+ 1 3.30000+ 1 2.16187- 7 9.52812- 2 2.10000+ 1 2.20000+ 1 2.21484- 7 9.50416- 2 2.10000+ 1 2.70000+ 1 1.77192- 7 9.53446- 2 2.10000+ 1 2.90000+ 1 1.32899- 7 9.53921- 2 2.10000+ 1 3.00000+ 1 3.98687- 7 9.54231- 2 2.10000+ 1 3.30000+ 1 4.42991- 8 9.54959- 2 2.20000+ 1 2.20000+ 1 4.83209- 8 9.50694- 2 2.20000+ 1 2.70000+ 1 9.66389- 8 9.53724- 2 2.20000+ 1 2.90000+ 1 2.89918- 7 9.54199- 2 2.20000+ 1 3.00000+ 1 3.38232- 7 9.54509- 2 2.20000+ 1 3.20000+ 1 4.83209- 8 9.55195- 2 2.70000+ 1 2.70000+ 1 5.66504- 7 9.56755- 2 2.70000+ 1 2.90000+ 1 7.84385- 7 9.57229- 2 2.70000+ 1 3.00000+ 1 3.48633- 7 9.57539- 2 2.70000+ 1 3.20000+ 1 4.35789- 8 9.58225- 2 2.90000+ 1 2.90000+ 1 4.51476- 8 9.57704- 2 2.90000+ 1 3.00000+ 1 5.41745- 7 9.58014- 2 2.90000+ 1 3.30000+ 1 4.51476- 8 9.58742- 2 3.00000+ 1 3.00000+ 1 2.80056- 7 9.58324- 2 3.00000+ 1 3.20000+ 1 4.66771- 8 9.59010- 2 3.00000+ 1 3.30000+ 1 4.66771- 8 9.59051- 2 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.20540- 5 6.33000- 4 6.00000+ 0 4.09030- 3 3.25800- 3 1.00000+ 1 3.82090- 2 1.34812- 2 1.10000+ 1 3.92700- 2 1.40745- 2 1.30000+ 1 1.48980- 3 1.45616- 2 1.40000+ 1 2.22770- 3 1.46868- 2 1.80000+ 1 9.99610- 3 1.65823- 2 1.90000+ 1 1.13470- 2 1.67313- 2 2.10000+ 1 2.36190- 4 1.69459- 2 2.20000+ 1 3.75400- 4 1.69737- 2 2.90000+ 1 2.11800- 3 1.73242- 2 3.00000+ 1 2.39110- 3 1.73552- 2 3.20000+ 1 3.31730- 5 1.74238- 2 3.30000+ 1 5.26650- 5 1.74279- 2 4.30000+ 1 2.08150- 4 1.74611- 2 4.40000+ 1 2.03780- 4 1.74645- 2 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.10000+ 1 4.60282- 3 1.05920- 4 5.00000+ 0 2.20000+ 1 6.03279- 3 1.33720- 4 5.00000+ 0 2.40000+ 1 1.40535- 2 4.15070- 4 5.00000+ 0 2.50000+ 1 1.85666- 2 4.21800- 4 5.00000+ 0 2.70000+ 1 4.65306- 3 4.36730- 4 5.00000+ 0 2.90000+ 1 3.50113- 3 4.84220- 4 5.00000+ 0 3.00000+ 1 3.07775- 3 5.15180- 4 5.00000+ 0 3.20000+ 1 6.98093- 4 5.83800- 4 5.00000+ 0 3.30000+ 1 9.17249- 4 5.87940- 4 6.00000+ 0 1.30000+ 1 2.28684- 1 3.46600- 4 6.00000+ 0 1.40000+ 1 2.85296- 1 4.71800- 4 6.00000+ 0 1.60000+ 1 1.82433- 2 2.23660- 3 6.00000+ 0 1.80000+ 1 7.18660- 3 2.36735- 3 6.00000+ 0 1.90000+ 1 1.06114- 2 2.51629- 3 6.00000+ 0 2.10000+ 1 3.16152- 2 2.73092- 3 6.00000+ 0 2.20000+ 1 3.72613- 2 2.75872- 3 6.00000+ 0 2.40000+ 1 2.13911- 2 3.04007- 3 6.00000+ 0 2.50000+ 1 2.65046- 2 3.04680- 3 6.00000+ 0 2.70000+ 1 3.93762- 3 3.06173- 3 6.00000+ 0 2.90000+ 1 1.46621- 3 3.10922- 3 6.00000+ 0 3.00000+ 1 2.13580- 3 3.14018- 3 6.00000+ 0 3.20000+ 1 4.34328- 3 3.20880- 3 6.00000+ 0 3.30000+ 1 4.96353- 3 3.21294- 3 8.00000+ 0 8.00000+ 0 5.28356- 3 8.90200- 3 8.00000+ 0 1.00000+ 1 1.09246- 2 9.19570- 3 8.00000+ 0 1.10000+ 1 1.66567- 2 9.78900- 3 8.00000+ 0 1.30000+ 1 1.21347- 2 1.02761- 2 8.00000+ 0 1.40000+ 1 1.52885- 2 1.04013- 2 8.00000+ 0 1.60000+ 1 2.29703- 3 1.21661- 2 8.00000+ 0 1.80000+ 1 2.70560- 3 1.22968- 2 8.00000+ 0 1.90000+ 1 4.07690- 3 1.24458- 2 8.00000+ 0 2.10000+ 1 2.75054- 3 1.26604- 2 8.00000+ 0 2.20000+ 1 3.44084- 3 1.26882- 2 8.00000+ 0 2.40000+ 1 2.40212- 4 1.29696- 2 8.00000+ 0 2.50000+ 1 2.59379- 4 1.29763- 2 8.00000+ 0 2.70000+ 1 5.07757- 4 1.29912- 2 8.00000+ 0 2.90000+ 1 5.60114- 4 1.30387- 2 8.00000+ 0 3.00000+ 1 8.21016- 4 1.30697- 2 8.00000+ 0 3.20000+ 1 4.00934- 4 1.31383- 2 8.00000+ 0 3.30000+ 1 4.91623- 4 1.31424- 2 1.00000+ 1 1.00000+ 1 1.78358- 5 9.48940- 3 1.00000+ 1 1.10000+ 1 2.07003- 4 1.00827- 2 1.00000+ 1 1.30000+ 1 6.91421- 4 1.05698- 2 1.00000+ 1 1.40000+ 1 5.35214- 3 1.06950- 2 1.00000+ 1 1.60000+ 1 1.87506- 3 1.24598- 2 1.00000+ 1 1.80000+ 1 2.27692- 6 1.25905- 2 1.00000+ 1 1.90000+ 1 4.21233- 5 1.27395- 2 1.00000+ 1 2.10000+ 1 1.34908- 4 1.29541- 2 1.00000+ 1 2.20000+ 1 7.71713- 4 1.29819- 2 1.00000+ 1 2.40000+ 1 8.82311- 5 1.32633- 2 1.00000+ 1 2.50000+ 1 3.07193- 4 1.32700- 2 1.00000+ 1 2.70000+ 1 3.90115- 4 1.32849- 2 1.00000+ 1 2.90000+ 1 3.79486- 7 1.33324- 2 1.00000+ 1 3.00000+ 1 8.15923- 6 1.33634- 2 1.00000+ 1 3.20000+ 1 1.95433- 5 1.34320- 2 1.00000+ 1 3.30000+ 1 1.01890- 4 1.34361- 2 1.10000+ 1 1.10000+ 1 6.00355- 4 1.06760- 2 1.10000+ 1 1.30000+ 1 1.67308- 3 1.11631- 2 1.10000+ 1 1.40000+ 1 1.01800- 3 1.12883- 2 1.10000+ 1 1.60000+ 1 2.80041- 3 1.30531- 2 1.10000+ 1 1.80000+ 1 5.14208- 5 1.31838- 2 1.10000+ 1 1.90000+ 1 2.24270- 4 1.33328- 2 1.10000+ 1 2.10000+ 1 1.57480- 4 1.35474- 2 1.10000+ 1 2.20000+ 1 7.43832- 5 1.35752- 2 1.10000+ 1 2.40000+ 1 1.32447- 4 1.38566- 2 1.10000+ 1 2.50000+ 1 1.11569- 4 1.38633- 2 1.10000+ 1 2.70000+ 1 5.79867- 4 1.38782- 2 1.10000+ 1 2.90000+ 1 1.06254- 5 1.39257- 2 1.10000+ 1 3.00000+ 1 4.26931- 5 1.39567- 2 1.10000+ 1 3.20000+ 1 1.93542- 5 1.40253- 2 1.10000+ 1 3.30000+ 1 8.53872- 6 1.40294- 2 1.30000+ 1 1.30000+ 1 7.08122- 4 1.16502- 2 1.30000+ 1 1.40000+ 1 2.04500- 2 1.17754- 2 1.30000+ 1 1.60000+ 1 1.85663- 3 1.35402- 2 1.30000+ 1 1.80000+ 1 2.04350- 4 1.36709- 2 1.30000+ 1 1.90000+ 1 4.56522- 4 1.38199- 2 1.30000+ 1 2.10000+ 1 3.12324- 4 1.40345- 2 1.30000+ 1 2.20000+ 1 3.21183- 3 1.40623- 2 1.30000+ 1 2.40000+ 1 2.49510- 4 1.43437- 2 1.30000+ 1 2.50000+ 1 6.84591- 4 1.43504- 2 1.30000+ 1 2.70000+ 1 3.76832- 4 1.43653- 2 1.30000+ 1 2.90000+ 1 4.38306- 5 1.44128- 2 1.30000+ 1 3.00000+ 1 9.41116- 5 1.44438- 2 1.30000+ 1 3.20000+ 1 4.53489- 5 1.45124- 2 1.30000+ 1 3.30000+ 1 4.29008- 4 1.45165- 2 1.40000+ 1 1.40000+ 1 5.62956- 3 1.19006- 2 1.40000+ 1 1.60000+ 1 2.37463- 3 1.36654- 2 1.40000+ 1 1.80000+ 1 1.17145- 3 1.37961- 2 1.40000+ 1 1.90000+ 1 2.79692- 4 1.39451- 2 1.40000+ 1 2.10000+ 1 3.09829- 3 1.41597- 2 1.40000+ 1 2.20000+ 1 1.86618- 3 1.41875- 2 1.40000+ 1 2.40000+ 1 7.53117- 4 1.44689- 2 1.40000+ 1 2.50000+ 1 5.65448- 4 1.44756- 2 1.40000+ 1 2.70000+ 1 4.84996- 4 1.44905- 2 1.40000+ 1 2.90000+ 1 2.36612- 4 1.45380- 2 1.40000+ 1 3.00000+ 1 5.80623- 5 1.45690- 2 1.40000+ 1 3.20000+ 1 4.18768- 4 1.46376- 2 1.40000+ 1 3.30000+ 1 2.52177- 4 1.46417- 2 1.60000+ 1 1.60000+ 1 2.35844- 4 1.54302- 2 1.60000+ 1 1.80000+ 1 4.66194- 4 1.55609- 2 1.60000+ 1 1.90000+ 1 6.89126- 4 1.57099- 2 1.60000+ 1 2.10000+ 1 4.23127- 4 1.59245- 2 1.60000+ 1 2.20000+ 1 5.33742- 4 1.59523- 2 1.60000+ 1 2.40000+ 1 3.05485- 5 1.62337- 2 1.60000+ 1 2.50000+ 1 3.14973- 5 1.62404- 2 1.60000+ 1 2.70000+ 1 1.03018- 4 1.62553- 2 1.60000+ 1 2.90000+ 1 9.65785- 5 1.63028- 2 1.60000+ 1 3.00000+ 1 1.38879- 4 1.63338- 2 1.60000+ 1 3.20000+ 1 6.16654- 5 1.64024- 2 1.60000+ 1 3.30000+ 1 7.62780- 5 1.64065- 2 1.80000+ 1 1.90000+ 1 1.04352- 5 1.58406- 2 1.80000+ 1 2.10000+ 1 3.54825- 5 1.60553- 2 1.80000+ 1 2.20000+ 1 1.75695- 4 1.60831- 2 1.80000+ 1 2.40000+ 1 1.25230- 5 1.63644- 2 1.80000+ 1 2.50000+ 1 4.91436- 5 1.63711- 2 1.80000+ 1 2.70000+ 1 9.69619- 5 1.63861- 2 1.80000+ 1 3.00000+ 1 2.08725- 6 1.64645- 2 1.80000+ 1 3.20000+ 1 4.93338- 6 1.65331- 2 1.80000+ 1 3.30000+ 1 2.33377- 5 1.65373- 2 1.90000+ 1 1.90000+ 1 2.01115- 5 1.59896- 2 1.90000+ 1 2.10000+ 1 4.76256- 5 1.62042- 2 1.90000+ 1 2.20000+ 1 2.54251- 5 1.62320- 2 1.90000+ 1 2.40000+ 1 2.84619- 5 1.65134- 2 1.90000+ 1 2.50000+ 1 2.33373- 5 1.65201- 2 1.90000+ 1 2.70000+ 1 1.42884- 4 1.65350- 2 1.90000+ 1 2.90000+ 1 2.08722- 6 1.65825- 2 1.90000+ 1 3.00000+ 1 7.58941- 6 1.66135- 2 1.90000+ 1 3.20000+ 1 5.88202- 6 1.66821- 2 1.90000+ 1 3.30000+ 1 3.03584- 6 1.66862- 2 2.10000+ 1 2.10000+ 1 3.18773- 5 1.64188- 2 2.10000+ 1 2.20000+ 1 5.32992- 4 1.64466- 2 2.10000+ 1 2.40000+ 1 3.81388- 5 1.67280- 2 2.10000+ 1 2.50000+ 1 7.89359- 5 1.67347- 2 2.10000+ 1 2.70000+ 1 8.59511- 5 1.67496- 2 2.10000+ 1 2.90000+ 1 7.39995- 6 1.67971- 2 2.10000+ 1 3.00000+ 1 1.00569- 5 1.68281- 2 2.10000+ 1 3.20000+ 1 9.10766- 6 1.68967- 2 2.10000+ 1 3.30000+ 1 7.22899- 5 1.69009- 2 2.20000+ 1 2.20000+ 1 1.66026- 4 1.64744- 2 2.20000+ 1 2.40000+ 1 9.22122- 5 1.67558- 2 2.20000+ 1 2.50000+ 1 7.68438- 5 1.67625- 2 2.20000+ 1 2.70000+ 1 1.08726- 4 1.67774- 2 2.20000+ 1 2.90000+ 1 3.56715- 5 1.68249- 2 2.20000+ 1 3.00000+ 1 5.50256- 6 1.68559- 2 2.20000+ 1 3.20000+ 1 7.32386- 5 1.69245- 2 2.20000+ 1 3.30000+ 1 4.53491- 5 1.69287- 2 2.40000+ 1 2.40000+ 1 1.00620- 6 1.70371- 2 2.40000+ 1 2.50000+ 1 2.05278- 5 1.70439- 2 2.40000+ 1 2.70000+ 1 6.44001- 6 1.70588- 2 2.40000+ 1 2.90000+ 1 2.41500- 6 1.71063- 2 2.40000+ 1 3.00000+ 1 5.83628- 6 1.71372- 2 2.40000+ 1 3.20000+ 1 5.43383- 6 1.72059- 2 2.40000+ 1 3.30000+ 1 1.24778- 5 1.72100- 2 2.50000+ 1 2.50000+ 1 4.85539- 6 1.70506- 2 2.50000+ 1 2.70000+ 1 7.06231- 6 1.70655- 2 2.50000+ 1 2.90000+ 1 1.08144- 5 1.71130- 2 2.50000+ 1 3.00000+ 1 5.29686- 6 1.71440- 2 2.50000+ 1 3.20000+ 1 1.16975- 5 1.72126- 2 2.50000+ 1 3.30000+ 1 1.16975- 5 1.72167- 2 2.70000+ 1 2.70000+ 1 1.55774- 5 1.70805- 2 2.70000+ 1 2.90000+ 1 2.79851- 5 1.71279- 2 2.70000+ 1 3.00000+ 1 4.01310- 5 1.71589- 2 2.70000+ 1 3.20000+ 1 1.74255- 5 1.72275- 2 2.70000+ 1 3.30000+ 1 2.16510- 5 1.72317- 2 2.90000+ 1 3.00000+ 1 6.04845- 7 1.72064- 2 2.90000+ 1 3.20000+ 1 1.81444- 6 1.72750- 2 2.90000+ 1 3.30000+ 1 7.56061- 6 1.72792- 2 3.00000+ 1 3.00000+ 1 1.23797- 6 1.72374- 2 3.00000+ 1 3.20000+ 1 2.16645- 6 1.73060- 2 3.00000+ 1 3.30000+ 1 1.23797- 6 1.73101- 2 3.20000+ 1 3.20000+ 1 5.84505- 7 1.73746- 2 3.20000+ 1 3.30000+ 1 1.01315- 5 1.73787- 2 3.30000+ 1 3.30000+ 1 3.01660- 6 1.73829- 2 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.63579- 5 2.62500- 3 8.00000+ 0 9.50116- 3 1.25545- 2 1.10000+ 1 4.19438- 4 1.34415- 2 1.30000+ 1 3.46269- 1 1.39286- 2 1.60000+ 1 2.49089- 3 1.58186- 2 1.90000+ 1 1.19540- 4 1.60983- 2 2.10000+ 1 7.30847- 2 1.63129- 2 2.40000+ 1 3.52299- 4 1.66221- 2 2.70000+ 1 5.68868- 4 1.66437- 2 3.00000+ 1 2.51249- 5 1.67222- 2 3.20000+ 1 1.09330- 2 1.67908- 2 4.10000+ 1 9.03737- 5 1.68170- 2 4.40000+ 1 2.14059- 6 1.68315- 2 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 4.69509- 3 1.60360- 3 6.00000+ 0 1.80000+ 1 3.51534- 2 1.73435- 3 6.00000+ 0 1.90000+ 1 9.27146- 3 1.88329- 3 6.00000+ 0 2.10000+ 1 3.42068- 2 2.09792- 3 6.00000+ 0 2.20000+ 1 1.16729- 2 2.12572- 3 6.00000+ 0 2.40000+ 1 1.50575- 3 2.40707- 3 6.00000+ 0 2.50000+ 1 2.22495- 3 2.41380- 3 6.00000+ 0 2.70000+ 1 9.79923- 4 2.42873- 3 6.00000+ 0 2.90000+ 1 6.67495- 3 2.47622- 3 6.00000+ 0 3.00000+ 1 1.81916- 3 2.50718- 3 6.00000+ 0 3.20000+ 1 4.78585- 3 2.57580- 3 6.00000+ 0 3.30000+ 1 1.61927- 3 2.57994- 3 8.00000+ 0 8.00000+ 0 5.18327- 4 8.26900- 3 8.00000+ 0 1.00000+ 1 1.91427- 2 8.56270- 3 8.00000+ 0 1.10000+ 1 1.75915- 3 9.15600- 3 8.00000+ 0 1.30000+ 1 3.18222- 3 9.64310- 3 8.00000+ 0 1.40000+ 1 1.57930- 3 9.76830- 3 8.00000+ 0 1.60000+ 1 2.02888- 4 1.15331- 2 8.00000+ 0 1.80000+ 1 3.12925- 3 1.16638- 2 8.00000+ 0 1.90000+ 1 3.86434- 4 1.18128- 2 8.00000+ 0 2.10000+ 1 5.10766- 4 1.20274- 2 8.00000+ 0 2.20000+ 1 2.15896- 4 1.20552- 2 8.00000+ 0 2.40000+ 1 8.56870- 5 1.23366- 2 8.00000+ 0 2.50000+ 1 6.04834- 5 1.23433- 2 8.00000+ 0 2.70000+ 1 4.36840- 5 1.23582- 2 8.00000+ 0 2.90000+ 1 5.94330- 4 1.24057- 2 8.00000+ 0 3.00000+ 1 7.60269- 5 1.24367- 2 8.00000+ 0 3.20000+ 1 7.01494- 5 1.25053- 2 8.00000+ 0 3.30000+ 1 2.85623- 5 1.25094- 2 1.00000+ 1 1.00000+ 1 2.01622- 2 8.85640- 3 1.00000+ 1 1.10000+ 1 4.94618- 2 9.44970- 3 1.00000+ 1 1.30000+ 1 2.54022- 2 9.93680- 3 1.00000+ 1 1.40000+ 1 3.50196- 2 1.00620- 2 1.00000+ 1 1.60000+ 1 5.01570- 3 1.18268- 2 1.00000+ 1 1.80000+ 1 8.40472- 3 1.19575- 2 1.00000+ 1 1.90000+ 1 1.18937- 2 1.21065- 2 1.00000+ 1 2.10000+ 1 5.75090- 3 1.23211- 2 1.00000+ 1 2.20000+ 1 7.91752- 3 1.23489- 2 1.00000+ 1 2.40000+ 1 4.53220- 4 1.26303- 2 1.00000+ 1 2.50000+ 1 3.85587- 4 1.26370- 2 1.00000+ 1 2.70000+ 1 1.14498- 3 1.26519- 2 1.00000+ 1 2.90000+ 1 1.68893- 3 1.26994- 2 1.00000+ 1 3.00000+ 1 2.38710- 3 1.27304- 2 1.00000+ 1 3.20000+ 1 8.38796- 4 1.27990- 2 1.00000+ 1 3.30000+ 1 1.13240- 3 1.28031- 2 1.10000+ 1 1.10000+ 1 1.09669- 3 1.00430- 2 1.10000+ 1 1.30000+ 1 2.19200- 2 1.05301- 2 1.10000+ 1 1.40000+ 1 3.23981- 3 1.06553- 2 1.10000+ 1 1.60000+ 1 3.86029- 4 1.24201- 2 1.10000+ 1 1.80000+ 1 8.21236- 3 1.25508- 2 1.10000+ 1 1.90000+ 1 4.53652- 4 1.26998- 2 1.10000+ 1 2.10000+ 1 4.19457- 3 1.29144- 2 1.10000+ 1 2.20000+ 1 5.98556- 4 1.29422- 2 1.10000+ 1 2.40000+ 1 1.73892- 4 1.32236- 2 1.10000+ 1 2.50000+ 1 9.03093- 5 1.32303- 2 1.10000+ 1 2.70000+ 1 8.44309- 5 1.32452- 2 1.10000+ 1 2.90000+ 1 1.56345- 3 1.32927- 2 1.10000+ 1 3.00000+ 1 8.82075- 5 1.33237- 2 1.10000+ 1 3.20000+ 1 5.93109- 4 1.33923- 2 1.10000+ 1 3.30000+ 1 8.27460- 5 1.33964- 2 1.30000+ 1 1.30000+ 1 2.07892- 2 1.10172- 2 1.30000+ 1 1.40000+ 1 8.17582- 2 1.11424- 2 1.30000+ 1 1.60000+ 1 8.37155- 4 1.29072- 2 1.30000+ 1 1.80000+ 1 4.07585- 3 1.30379- 2 1.30000+ 1 1.90000+ 1 4.86660- 3 1.31869- 2 1.30000+ 1 2.10000+ 1 7.79873- 3 1.34015- 2 1.30000+ 1 2.20000+ 1 1.65457- 2 1.34293- 2 1.30000+ 1 2.40000+ 1 1.54962- 3 1.37107- 2 1.30000+ 1 2.50000+ 1 3.11349- 3 1.37174- 2 1.30000+ 1 2.70000+ 1 1.91961- 4 1.37323- 2 1.30000+ 1 2.90000+ 1 7.77090- 4 1.37798- 2 1.30000+ 1 3.00000+ 1 9.60672- 4 1.38108- 2 1.30000+ 1 3.20000+ 1 1.10429- 3 1.38794- 2 1.30000+ 1 3.30000+ 1 2.32083- 3 1.38835- 2 1.40000+ 1 1.40000+ 1 3.97782- 3 1.12676- 2 1.40000+ 1 1.60000+ 1 3.33501- 4 1.30324- 2 1.40000+ 1 1.80000+ 1 4.94921- 3 1.31631- 2 1.40000+ 1 1.90000+ 1 6.63223- 4 1.33121- 2 1.40000+ 1 2.10000+ 1 1.25809- 2 1.35267- 2 1.40000+ 1 2.20000+ 1 1.46596- 3 1.35545- 2 1.40000+ 1 2.40000+ 1 6.17846- 4 1.38359- 2 1.40000+ 1 2.50000+ 1 2.36054- 4 1.38426- 2 1.40000+ 1 2.70000+ 1 7.26675- 5 1.38575- 2 1.40000+ 1 2.90000+ 1 9.08972- 4 1.39050- 2 1.40000+ 1 3.00000+ 1 1.28532- 4 1.39360- 2 1.40000+ 1 3.20000+ 1 1.71036- 3 1.40046- 2 1.40000+ 1 3.30000+ 1 2.02886- 4 1.40087- 2 1.60000+ 1 1.60000+ 1 1.89017- 5 1.47972- 2 1.60000+ 1 1.80000+ 1 8.24536- 4 1.49279- 2 1.60000+ 1 1.90000+ 1 8.52675- 5 1.50769- 2 1.60000+ 1 2.10000+ 1 1.31043- 4 1.52915- 2 1.60000+ 1 2.20000+ 1 4.53634- 5 1.53193- 2 1.60000+ 1 2.40000+ 1 1.97416- 5 1.56007- 2 1.60000+ 1 2.50000+ 1 1.13407- 5 1.56074- 2 1.60000+ 1 2.70000+ 1 7.98062- 6 1.56223- 2 1.60000+ 1 2.90000+ 1 1.56678- 4 1.56698- 2 1.60000+ 1 3.00000+ 1 1.68009- 5 1.57008- 2 1.60000+ 1 3.20000+ 1 1.80618- 5 1.57694- 2 1.60000+ 1 3.30000+ 1 5.88029- 6 1.57735- 2 1.80000+ 1 1.80000+ 1 8.32081- 4 1.50587- 2 1.80000+ 1 1.90000+ 1 1.98052- 3 1.52076- 2 1.80000+ 1 2.10000+ 1 9.09380- 4 1.54223- 2 1.80000+ 1 2.20000+ 1 1.13030- 3 1.54501- 2 1.80000+ 1 2.40000+ 1 5.96452- 5 1.57314- 2 1.80000+ 1 2.50000+ 1 3.99038- 5 1.57381- 2 1.80000+ 1 2.70000+ 1 1.88606- 4 1.57531- 2 1.80000+ 1 2.90000+ 1 3.30994- 4 1.58006- 2 1.80000+ 1 3.00000+ 1 3.97791- 4 1.58315- 2 1.80000+ 1 3.20000+ 1 1.32315- 4 1.59001- 2 1.80000+ 1 3.30000+ 1 1.62131- 4 1.59043- 2 1.90000+ 1 1.90000+ 1 4.70453- 5 1.53566- 2 1.90000+ 1 2.10000+ 1 9.38413- 4 1.55712- 2 1.90000+ 1 2.20000+ 1 1.24335- 4 1.55990- 2 1.90000+ 1 2.40000+ 1 3.36043- 5 1.58804- 2 1.90000+ 1 2.50000+ 1 1.59618- 5 1.58871- 2 1.90000+ 1 2.70000+ 1 1.89025- 5 1.59020- 2 1.90000+ 1 2.90000+ 1 3.77194- 4 1.59495- 2 1.90000+ 1 3.00000+ 1 1.84826- 5 1.59805- 2 1.90000+ 1 3.20000+ 1 1.32735- 4 1.60491- 2 1.90000+ 1 3.30000+ 1 1.72207- 5 1.60532- 2 2.10000+ 1 2.10000+ 1 7.25863- 4 1.57858- 2 2.10000+ 1 2.20000+ 1 2.65466- 3 1.58136- 2 2.10000+ 1 2.40000+ 1 1.99519- 4 1.60950- 2 2.10000+ 1 2.50000+ 1 4.03657- 4 1.61017- 2 2.10000+ 1 2.70000+ 1 2.98235- 5 1.61166- 2 2.10000+ 1 2.90000+ 1 1.72645- 4 1.61641- 2 2.10000+ 1 3.00000+ 1 1.85653- 4 1.61951- 2 2.10000+ 1 3.20000+ 1 2.04985- 4 1.62637- 2 2.10000+ 1 3.30000+ 1 3.74678- 4 1.62679- 2 2.20000+ 1 2.20000+ 1 1.36514- 4 1.58414- 2 2.20000+ 1 2.40000+ 1 8.65277- 5 1.61228- 2 2.20000+ 1 2.50000+ 1 3.36041- 5 1.61295- 2 2.20000+ 1 2.70000+ 1 1.00811- 5 1.61444- 2 2.20000+ 1 2.90000+ 1 2.07918- 4 1.61919- 2 2.20000+ 1 3.00000+ 1 2.43619- 5 1.62229- 2 2.20000+ 1 3.20000+ 1 3.63335- 4 1.62915- 2 2.20000+ 1 3.30000+ 1 3.78049- 5 1.62957- 2 2.40000+ 1 2.40000+ 1 4.62048- 6 1.64041- 2 2.40000+ 1 2.50000+ 1 3.31829- 5 1.64109- 2 2.40000+ 1 2.70000+ 1 4.20042- 6 1.64258- 2 2.40000+ 1 2.90000+ 1 1.09209- 5 1.64733- 2 2.40000+ 1 3.00000+ 1 6.30033- 6 1.65042- 2 2.40000+ 1 3.20000+ 1 2.60436- 5 1.65729- 2 2.40000+ 1 3.30000+ 1 1.13410- 5 1.65770- 2 2.50000+ 1 2.50000+ 1 2.10011- 6 1.64176- 2 2.50000+ 1 2.70000+ 1 2.52017- 6 1.64325- 2 2.50000+ 1 2.90000+ 1 6.72077- 6 1.64800- 2 2.50000+ 1 3.00000+ 1 2.94022- 6 1.65110- 2 2.50000+ 1 3.20000+ 1 5.33450- 5 1.65796- 2 2.50000+ 1 3.30000+ 1 4.62047- 6 1.65837- 2 2.70000+ 1 2.70000+ 1 8.31861- 7 1.64475- 2 2.70000+ 1 2.90000+ 1 3.53534- 5 1.64949- 2 2.70000+ 1 3.00000+ 1 3.74346- 6 1.65259- 2 2.70000+ 1 3.20000+ 1 4.15931- 6 1.65945- 2 2.70000+ 1 3.30000+ 1 1.24776- 6 1.65987- 2 2.90000+ 1 2.90000+ 1 3.25617- 5 1.65424- 2 2.90000+ 1 3.00000+ 1 7.51407- 5 1.65734- 2 2.90000+ 1 3.20000+ 1 2.50469- 5 1.66420- 2 2.90000+ 1 3.30000+ 1 2.96400- 5 1.66462- 2 3.00000+ 1 3.00000+ 1 1.72175- 6 1.66044- 2 3.00000+ 1 3.20000+ 1 2.66885- 5 1.66730- 2 3.00000+ 1 3.30000+ 1 3.44360- 6 1.66771- 2 3.20000+ 1 3.20000+ 1 1.42819- 5 1.67416- 2 3.20000+ 1 3.30000+ 1 5.12458- 5 1.67457- 2 3.30000+ 1 3.30000+ 1 2.79869- 6 1.67499- 2 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.72798- 2 9.92950- 3 1.00000+ 1 1.96498- 4 1.02232- 2 1.10000+ 1 1.77798- 4 1.08165- 2 1.30000+ 1 3.01666- 2 1.13036- 2 1.40000+ 1 2.65507- 1 1.14288- 2 1.60000+ 1 4.08365- 3 1.31936- 2 1.80000+ 1 4.43815- 5 1.33243- 2 1.90000+ 1 4.64164- 5 1.34733- 2 2.10000+ 1 5.78833- 3 1.36879- 2 2.20000+ 1 5.25234- 2 1.37157- 2 2.40000+ 1 5.37703- 5 1.39971- 2 2.50000+ 1 2.99176- 4 1.40038- 2 2.70000+ 1 9.31519- 4 1.40187- 2 2.90000+ 1 9.38549- 6 1.40662- 2 3.00000+ 1 1.00399- 5 1.40972- 2 3.20000+ 1 8.51470- 4 1.41658- 2 3.30000+ 1 7.65211- 3 1.41699- 2 4.10000+ 1 1.46598- 4 1.41920- 2 4.30000+ 1 8.90849- 7 1.42031- 2 4.40000+ 1 8.14190- 7 1.42065- 2 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 6.17309- 4 5.64400- 3 8.00000+ 0 1.00000+ 1 2.96519- 4 5.93770- 3 8.00000+ 0 1.10000+ 1 1.98961- 2 6.53100- 3 8.00000+ 0 1.30000+ 1 2.66654- 3 7.01810- 3 8.00000+ 0 1.40000+ 1 4.78287- 3 7.14330- 3 8.00000+ 0 1.60000+ 1 2.43750- 4 8.90810- 3 8.00000+ 0 1.80000+ 1 5.27694- 5 9.03885- 3 8.00000+ 0 1.90000+ 1 3.17837- 3 9.18779- 3 8.00000+ 0 2.10000+ 1 2.92741- 4 9.40242- 3 8.00000+ 0 2.20000+ 1 4.87905- 4 9.43022- 3 8.00000+ 0 2.40000+ 1 2.59663- 4 9.71157- 3 8.00000+ 0 2.50000+ 1 4.52318- 4 9.71830- 3 8.00000+ 0 2.70000+ 1 5.23511- 5 9.73323- 3 8.00000+ 0 2.90000+ 1 1.00512- 5 9.78072- 3 8.00000+ 0 3.00000+ 1 5.86750- 4 9.81168- 3 8.00000+ 0 3.20000+ 1 3.76932- 5 9.88030- 3 8.00000+ 0 3.30000+ 1 5.98897- 5 9.88444- 3 1.00000+ 1 1.00000+ 1 1.80089- 5 6.23140- 3 1.00000+ 1 1.10000+ 1 3.33865- 2 6.82470- 3 1.00000+ 1 1.30000+ 1 1.51187- 3 7.31180- 3 1.00000+ 1 1.40000+ 1 1.24525- 2 7.43700- 3 1.00000+ 1 1.60000+ 1 6.15635- 5 9.20180- 3 1.00000+ 1 1.80000+ 1 1.25635- 5 9.33255- 3 1.00000+ 1 1.90000+ 1 5.53863- 3 9.48149- 3 1.00000+ 1 2.10000+ 1 2.93589- 4 9.69612- 3 1.00000+ 1 2.20000+ 1 2.00316- 3 9.72392- 3 1.00000+ 1 2.40000+ 1 2.44172- 4 1.00053- 2 1.00000+ 1 2.50000+ 1 6.03499- 4 1.00120- 2 1.00000+ 1 2.70000+ 1 1.38208- 5 1.00269- 2 1.00000+ 1 2.90000+ 1 2.93153- 6 1.00744- 2 1.00000+ 1 3.00000+ 1 1.02979- 3 1.01054- 2 1.00000+ 1 3.20000+ 1 4.22993- 5 1.01740- 2 1.00000+ 1 3.30000+ 1 2.71390- 4 1.01781- 2 1.10000+ 1 1.10000+ 1 4.13410- 2 7.41800- 3 1.10000+ 1 1.30000+ 1 4.33270- 2 7.90510- 3 1.10000+ 1 1.40000+ 1 5.74233- 2 8.03030- 3 1.10000+ 1 1.60000+ 1 5.12898- 3 9.79510- 3 1.10000+ 1 1.80000+ 1 7.72674- 3 9.92585- 3 1.10000+ 1 1.90000+ 1 1.66336- 2 1.00748- 2 1.10000+ 1 2.10000+ 1 9.20558- 3 1.02894- 2 1.10000+ 1 2.20000+ 1 1.20587- 2 1.03172- 2 1.10000+ 1 2.40000+ 1 8.72351- 4 1.05986- 2 1.10000+ 1 2.50000+ 1 1.06459- 3 1.06053- 2 1.10000+ 1 2.70000+ 1 1.16681- 3 1.06202- 2 1.10000+ 1 2.90000+ 1 1.58047- 3 1.06677- 2 1.10000+ 1 3.00000+ 1 3.23491- 3 1.06987- 2 1.10000+ 1 3.20000+ 1 1.33011- 3 1.07673- 2 1.10000+ 1 3.30000+ 1 1.70331- 3 1.07714- 2 1.30000+ 1 1.30000+ 1 5.89804- 3 8.39220- 3 1.30000+ 1 1.40000+ 1 1.10197- 1 8.51740- 3 1.30000+ 1 1.60000+ 1 6.46221- 4 1.02822- 2 1.30000+ 1 1.80000+ 1 3.73990- 4 1.04129- 2 1.30000+ 1 1.90000+ 1 6.52299- 3 1.05619- 2 1.30000+ 1 2.10000+ 1 2.11926- 3 1.07765- 2 1.30000+ 1 2.20000+ 1 1.65652- 2 1.08043- 2 1.30000+ 1 2.40000+ 1 4.77435- 4 1.10857- 2 1.30000+ 1 2.50000+ 1 1.61071- 3 1.10924- 2 1.30000+ 1 2.70000+ 1 1.45743- 4 1.11073- 2 1.30000+ 1 2.90000+ 1 7.70587- 5 1.11548- 2 1.30000+ 1 3.00000+ 1 1.18892- 3 1.11858- 2 1.30000+ 1 3.20000+ 1 2.98596- 4 1.12544- 2 1.30000+ 1 3.30000+ 1 2.20701- 3 1.12585- 2 1.40000+ 1 1.40000+ 1 7.31573- 2 8.64260- 3 1.40000+ 1 1.60000+ 1 1.17184- 3 1.04074- 2 1.40000+ 1 1.80000+ 1 2.60516- 3 1.05381- 2 1.40000+ 1 1.90000+ 1 9.72951- 3 1.06871- 2 1.40000+ 1 2.10000+ 1 1.99961- 2 1.09017- 2 1.40000+ 1 2.20000+ 1 2.51969- 2 1.09295- 2 1.40000+ 1 2.40000+ 1 5.02886- 3 1.12109- 2 1.40000+ 1 2.50000+ 1 4.56143- 3 1.12176- 2 1.40000+ 1 2.70000+ 1 2.66367- 4 1.12325- 2 1.40000+ 1 2.90000+ 1 5.22281- 4 1.12800- 2 1.40000+ 1 3.00000+ 1 1.83024- 3 1.13110- 2 1.40000+ 1 3.20000+ 1 2.81200- 3 1.13796- 2 1.40000+ 1 3.30000+ 1 3.45028- 3 1.13837- 2 1.60000+ 1 1.60000+ 1 2.47097- 5 1.21722- 2 1.60000+ 1 1.80000+ 1 1.17271- 5 1.23029- 2 1.60000+ 1 1.90000+ 1 8.19208- 4 1.24519- 2 1.60000+ 1 2.10000+ 1 7.70621- 5 1.26665- 2 1.60000+ 1 2.20000+ 1 1.28159- 4 1.26943- 2 1.60000+ 1 2.40000+ 1 3.39243- 5 1.29757- 2 1.60000+ 1 2.50000+ 1 6.74320- 5 1.29824- 2 1.60000+ 1 2.70000+ 1 1.08893- 5 1.29973- 2 1.60000+ 1 2.90000+ 1 2.51282- 6 1.30448- 2 1.60000+ 1 3.00000+ 1 1.51193- 4 1.30758- 2 1.60000+ 1 3.20000+ 1 1.00515- 5 1.31444- 2 1.60000+ 1 3.30000+ 1 1.59145- 5 1.31485- 2 1.80000+ 1 1.80000+ 1 4.18803- 7 1.24337- 2 1.80000+ 1 1.90000+ 1 1.27319- 3 1.25826- 2 1.80000+ 1 2.10000+ 1 6.78459- 5 1.27973- 2 1.80000+ 1 2.20000+ 1 4.51048- 4 1.28251- 2 1.80000+ 1 2.40000+ 1 3.64350- 5 1.31064- 2 1.80000+ 1 2.50000+ 1 8.46006- 5 1.31131- 2 1.80000+ 1 2.70000+ 1 2.51269- 6 1.31281- 2 1.80000+ 1 2.90000+ 1 4.18803- 7 1.31756- 2 1.80000+ 1 3.00000+ 1 2.36207- 4 1.32065- 2 1.80000+ 1 3.20000+ 1 9.63241- 6 1.32751- 2 1.80000+ 1 3.30000+ 1 6.15627- 5 1.32793- 2 1.90000+ 1 1.90000+ 1 1.59902- 3 1.27316- 2 1.90000+ 1 2.10000+ 1 1.38961- 3 1.29462- 2 1.90000+ 1 2.20000+ 1 2.01239- 3 1.29740- 2 1.90000+ 1 2.40000+ 1 1.08472- 4 1.32554- 2 1.90000+ 1 2.50000+ 1 1.39040- 4 1.32621- 2 1.90000+ 1 2.70000+ 1 1.86375- 4 1.32770- 2 1.90000+ 1 2.90000+ 1 2.60077- 4 1.33245- 2 1.90000+ 1 3.00000+ 1 6.16071- 4 1.33555- 2 1.90000+ 1 3.20000+ 1 2.01021- 4 1.34241- 2 1.90000+ 1 3.30000+ 1 2.83535- 4 1.34282- 2 2.10000+ 1 2.10000+ 1 1.82598- 4 1.31608- 2 2.10000+ 1 2.20000+ 1 3.14639- 3 1.31886- 2 2.10000+ 1 2.40000+ 1 5.69577- 5 1.34700- 2 2.10000+ 1 2.50000+ 1 1.82182- 4 1.34767- 2 2.10000+ 1 2.70000+ 1 1.75885- 5 1.34916- 2 2.10000+ 1 2.90000+ 1 1.38207- 5 1.35391- 2 2.10000+ 1 3.00000+ 1 2.53363- 4 1.35701- 2 2.10000+ 1 3.20000+ 1 5.10940- 5 1.36387- 2 2.10000+ 1 3.30000+ 1 4.22149- 4 1.36429- 2 2.20000+ 1 2.20000+ 1 2.18203- 3 1.32164- 2 2.20000+ 1 2.40000+ 1 5.90092- 4 1.34978- 2 2.20000+ 1 2.50000+ 1 5.26020- 4 1.35045- 2 2.20000+ 1 2.70000+ 1 2.93152- 5 1.35194- 2 2.20000+ 1 2.90000+ 1 9.13010- 5 1.35669- 2 2.20000+ 1 3.00000+ 1 3.77342- 4 1.35979- 2 2.20000+ 1 3.20000+ 1 4.45608- 4 1.36665- 2 2.20000+ 1 3.30000+ 1 5.97637- 4 1.36707- 2 2.40000+ 1 2.40000+ 1 2.56817- 6 1.37791- 2 2.40000+ 1 2.50000+ 1 7.53384- 5 1.37859- 2 2.40000+ 1 2.70000+ 1 6.84837- 6 1.38008- 2 2.40000+ 1 2.90000+ 1 6.84837- 6 1.38483- 2 2.40000+ 1 3.00000+ 1 1.96903- 5 1.38792- 2 2.40000+ 1 3.20000+ 1 7.70460- 6 1.39479- 2 2.40000+ 1 3.30000+ 1 7.66193- 5 1.39520- 2 2.50000+ 1 2.50000+ 1 2.59656- 5 1.37926- 2 2.50000+ 1 2.70000+ 1 1.38206- 5 1.38075- 2 2.50000+ 1 2.90000+ 1 1.59136- 5 1.38550- 2 2.50000+ 1 3.00000+ 1 2.47084- 5 1.38860- 2 2.50000+ 1 3.20000+ 1 2.34530- 5 1.39546- 2 2.50000+ 1 3.30000+ 1 6.65867- 5 1.39587- 2 2.70000+ 1 2.70000+ 1 1.47932- 6 1.38225- 2 2.70000+ 1 2.90000+ 1 4.93135- 7 1.38699- 2 2.70000+ 1 3.00000+ 1 4.04371- 5 1.39009- 2 2.70000+ 1 3.20000+ 1 2.46562- 6 1.39695- 2 2.70000+ 1 3.30000+ 1 4.43821- 6 1.39737- 2 2.90000+ 1 3.00000+ 1 5.90032- 5 1.39484- 2 2.90000+ 1 3.20000+ 1 2.56534- 6 1.40170- 2 2.90000+ 1 3.30000+ 1 1.53915- 5 1.40212- 2 3.00000+ 1 3.00000+ 1 7.23262- 5 1.39794- 2 3.00000+ 1 3.20000+ 1 4.46264- 5 1.40480- 2 3.00000+ 1 3.30000+ 1 6.51453- 5 1.40521- 2 3.20000+ 1 3.20000+ 1 3.76927- 6 1.41166- 2 3.20000+ 1 3.30000+ 1 5.98889- 5 1.41207- 2 3.30000+ 1 3.30000+ 1 4.10415- 5 1.41249- 2 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.03110- 5 2.93700- 4 1.10000+ 1 6.37258- 4 8.87000- 4 1.80000+ 1 1.86070- 3 3.39485- 3 1.90000+ 1 1.29810- 3 3.54379- 3 2.90000+ 1 4.30839- 4 4.13672- 3 3.00000+ 1 3.27339- 4 4.16768- 3 4.30000+ 1 4.28869- 5 4.27356- 3 4.40000+ 1 2.85999- 5 4.27696- 3 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 2.01341- 2 7.57700- 5 1.00000+ 1 2.50000+ 1 2.68977- 2 8.25000- 5 1.00000+ 1 2.70000+ 1 1.27860- 2 9.74300- 5 1.00000+ 1 2.90000+ 1 1.27131- 2 1.44920- 4 1.00000+ 1 3.00000+ 1 1.61174- 2 1.75880- 4 1.00000+ 1 3.20000+ 1 8.01529- 3 2.44500- 4 1.00000+ 1 3.30000+ 1 1.06194- 2 2.48640- 4 1.00000+ 1 4.10000+ 1 1.81381- 3 2.70690- 4 1.00000+ 1 4.30000+ 1 1.07387- 3 2.81760- 4 1.00000+ 1 4.40000+ 1 1.16889- 3 2.85160- 4 1.10000+ 1 1.80000+ 1 5.46682- 2 0.00000+ 0 1.10000+ 1 1.90000+ 1 5.23086- 2 1.45290- 4 1.10000+ 1 2.10000+ 1 1.49459- 2 3.59920- 4 1.10000+ 1 2.20000+ 1 2.81985- 2 3.87720- 4 1.10000+ 1 2.40000+ 1 1.84389- 1 6.69070- 4 1.10000+ 1 2.50000+ 1 2.26455- 1 6.75800- 4 1.10000+ 1 2.70000+ 1 1.09335- 2 6.90730- 4 1.10000+ 1 2.90000+ 1 1.06840- 2 7.38220- 4 1.10000+ 1 3.00000+ 1 1.02405- 2 7.69180- 4 1.10000+ 1 3.20000+ 1 2.22010- 3 8.37800- 4 1.10000+ 1 3.30000+ 1 4.18088- 3 8.41940- 4 1.10000+ 1 4.10000+ 1 1.58684- 3 8.63990- 4 1.10000+ 1 4.30000+ 1 9.25572- 4 8.75060- 4 1.10000+ 1 4.40000+ 1 7.61526- 4 8.78460- 4 1.30000+ 1 1.60000+ 1 2.56694- 2 3.52700- 4 1.30000+ 1 1.80000+ 1 5.53277- 3 4.83450- 4 1.30000+ 1 1.90000+ 1 7.61330- 3 6.32390- 4 1.30000+ 1 2.10000+ 1 8.83696- 3 8.47020- 4 1.30000+ 1 2.20000+ 1 1.08073- 2 8.74820- 4 1.30000+ 1 2.40000+ 1 9.40694- 3 1.15617- 3 1.30000+ 1 2.50000+ 1 8.72352- 3 1.16290- 3 1.30000+ 1 2.70000+ 1 3.69193- 3 1.17783- 3 1.30000+ 1 2.90000+ 1 8.90851- 4 1.22532- 3 1.30000+ 1 3.00000+ 1 1.14864- 3 1.25628- 3 1.30000+ 1 3.20000+ 1 1.04938- 3 1.32490- 3 1.30000+ 1 3.30000+ 1 1.36784- 3 1.32904- 3 1.30000+ 1 4.10000+ 1 5.00960- 4 1.35109- 3 1.30000+ 1 4.30000+ 1 7.62484- 5 1.36216- 3 1.30000+ 1 4.40000+ 1 8.26944- 5 1.36556- 3 1.40000+ 1 1.60000+ 1 3.54911- 2 4.77900- 4 1.40000+ 1 1.80000+ 1 9.02341- 4 6.08650- 4 1.40000+ 1 1.90000+ 1 1.13024- 2 7.57590- 4 1.40000+ 1 2.10000+ 1 1.22219- 2 9.72220- 4 1.40000+ 1 2.20000+ 1 1.71173- 2 1.00002- 3 1.40000+ 1 2.40000+ 1 1.08363- 2 1.28137- 3 1.40000+ 1 2.50000+ 1 1.66609- 2 1.28810- 3 1.40000+ 1 2.70000+ 1 5.03829- 3 1.30303- 3 1.40000+ 1 2.90000+ 1 1.86912- 4 1.35052- 3 1.40000+ 1 3.00000+ 1 1.68520- 3 1.38148- 3 1.40000+ 1 3.20000+ 1 1.58961- 3 1.45010- 3 1.40000+ 1 3.30000+ 1 2.08584- 3 1.45424- 3 1.40000+ 1 4.10000+ 1 6.83320- 4 1.47629- 3 1.40000+ 1 4.30000+ 1 1.70039- 5 1.48736- 3 1.40000+ 1 4.40000+ 1 1.21352- 4 1.49076- 3 1.60000+ 1 1.60000+ 1 2.30422- 3 2.24270- 3 1.60000+ 1 1.80000+ 1 4.04778- 3 2.37345- 3 1.60000+ 1 1.90000+ 1 6.55016- 3 2.52239- 3 1.60000+ 1 2.10000+ 1 7.71001- 3 2.73702- 3 1.60000+ 1 2.20000+ 1 1.07932- 2 2.76482- 3 1.60000+ 1 2.40000+ 1 5.66468- 3 3.04617- 3 1.60000+ 1 2.50000+ 1 7.07629- 3 3.05290- 3 1.60000+ 1 2.70000+ 1 8.51548- 4 3.06783- 3 1.60000+ 1 2.90000+ 1 8.33047- 4 3.11532- 3 1.60000+ 1 3.00000+ 1 1.31174- 3 3.14628- 3 1.60000+ 1 3.20000+ 1 1.09800- 3 3.21490- 3 1.60000+ 1 3.30000+ 1 1.50768- 3 3.21904- 3 1.60000+ 1 4.10000+ 1 1.22423- 4 3.24109- 3 1.60000+ 1 4.30000+ 1 7.37125- 5 3.25216- 3 1.60000+ 1 4.40000+ 1 9.83932- 5 3.25556- 3 1.80000+ 1 1.80000+ 1 1.65406- 4 2.50420- 3 1.80000+ 1 1.90000+ 1 4.96536- 4 2.65314- 3 1.80000+ 1 2.10000+ 1 2.51863- 4 2.86777- 3 1.80000+ 1 2.20000+ 1 1.33855- 4 2.89557- 3 1.80000+ 1 2.40000+ 1 3.15448- 5 3.17692- 3 1.80000+ 1 2.50000+ 1 4.60920- 4 3.18365- 3 1.80000+ 1 2.70000+ 1 5.69107- 4 3.19858- 3 1.80000+ 1 2.90000+ 1 5.01776- 5 3.24607- 3 1.80000+ 1 3.00000+ 1 7.15874- 5 3.27703- 3 1.80000+ 1 3.20000+ 1 3.10537- 5 3.34565- 3 1.80000+ 1 3.30000+ 1 2.28828- 5 3.34979- 3 1.80000+ 1 4.10000+ 1 7.71436- 5 3.37184- 3 1.80000+ 1 4.30000+ 1 4.24952- 6 3.38291- 3 1.80000+ 1 4.40000+ 1 5.06686- 6 3.38631- 3 1.90000+ 1 1.90000+ 1 5.38857- 4 2.80208- 3 1.90000+ 1 2.10000+ 1 5.95897- 4 3.01671- 3 1.90000+ 1 2.20000+ 1 1.36129- 3 3.04451- 3 1.90000+ 1 2.40000+ 1 6.96096- 4 3.32586- 3 1.90000+ 1 2.50000+ 1 1.12838- 3 3.33259- 3 1.90000+ 1 2.70000+ 1 9.25891- 4 3.34752- 3 1.90000+ 1 2.90000+ 1 8.67876- 5 3.39501- 3 1.90000+ 1 3.00000+ 1 1.81423- 4 3.42597- 3 1.90000+ 1 3.20000+ 1 8.46602- 5 3.49459- 3 1.90000+ 1 3.30000+ 1 1.81095- 4 3.49873- 3 1.90000+ 1 4.10000+ 1 1.25851- 4 3.52078- 3 1.90000+ 1 4.30000+ 1 7.51832- 6 3.53185- 3 1.90000+ 1 4.40000+ 1 1.32395- 5 3.53525- 3 2.10000+ 1 2.10000+ 1 9.44706- 5 3.23134- 3 2.10000+ 1 2.20000+ 1 3.18555- 4 3.25914- 3 2.10000+ 1 2.40000+ 1 4.37372- 4 3.54049- 3 2.10000+ 1 2.50000+ 1 2.82846- 3 3.54722- 3 2.10000+ 1 2.70000+ 1 1.06303- 3 3.56215- 3 2.10000+ 1 2.90000+ 1 3.33427- 5 3.60964- 3 2.10000+ 1 3.00000+ 1 9.20202- 5 3.64060- 3 2.10000+ 1 3.20000+ 1 2.12484- 5 3.70922- 3 2.10000+ 1 3.30000+ 1 3.77558- 5 3.71336- 3 2.10000+ 1 4.10000+ 1 1.43659- 4 3.73541- 3 2.10000+ 1 4.30000+ 1 2.77854- 6 3.74648- 3 2.10000+ 1 4.40000+ 1 6.70084- 6 3.74988- 3 2.20000+ 1 2.20000+ 1 2.27178- 4 3.28694- 3 2.20000+ 1 2.40000+ 1 2.58246- 3 3.56829- 3 2.20000+ 1 2.50000+ 1 1.59458- 3 3.57502- 3 2.20000+ 1 2.70000+ 1 1.48240- 3 3.58995- 3 2.20000+ 1 2.90000+ 1 2.01028- 5 3.63744- 3 2.20000+ 1 3.00000+ 1 2.07408- 4 3.66840- 3 2.20000+ 1 3.20000+ 1 3.46497- 5 3.73702- 3 2.20000+ 1 3.30000+ 1 5.21367- 5 3.74116- 3 2.20000+ 1 4.10000+ 1 2.00054- 4 3.76321- 3 2.20000+ 1 4.30000+ 1 1.63440- 6 3.77428- 3 2.20000+ 1 4.40000+ 1 1.48733- 5 3.77768- 3 2.40000+ 1 2.40000+ 1 6.12417- 4 3.84964- 3 2.40000+ 1 2.50000+ 1 4.04981- 3 3.85637- 3 2.40000+ 1 2.70000+ 1 7.29301- 4 3.87130- 3 2.40000+ 1 2.90000+ 1 4.97490- 6 3.91879- 3 2.40000+ 1 3.00000+ 1 7.76103- 5 3.94975- 3 2.40000+ 1 3.20000+ 1 5.72110- 5 4.01837- 3 2.40000+ 1 3.30000+ 1 3.68310- 4 4.02251- 3 2.40000+ 1 4.10000+ 1 9.73445- 5 4.04456- 3 2.40000+ 1 4.30000+ 1 4.97490- 7 4.05563- 3 2.40000+ 1 4.40000+ 1 5.30658- 6 4.05903- 3 2.50000+ 1 2.50000+ 1 1.39032- 3 3.86310- 3 2.50000+ 1 2.70000+ 1 9.02609- 4 3.87803- 3 2.50000+ 1 2.90000+ 1 8.37773- 5 3.92552- 3 2.50000+ 1 3.00000+ 1 1.34797- 4 3.95648- 3 2.50000+ 1 3.20000+ 1 3.95849- 4 4.02510- 3 2.50000+ 1 3.30000+ 1 2.15948- 4 4.02924- 3 2.50000+ 1 4.10000+ 1 1.20471- 4 4.05129- 3 2.50000+ 1 4.30000+ 1 7.24235- 6 4.06236- 3 2.50000+ 1 4.40000+ 1 9.38181- 6 4.06576- 3 2.70000+ 1 2.70000+ 1 7.88447- 5 3.89296- 3 2.70000+ 1 2.90000+ 1 1.28100- 4 3.94045- 3 2.70000+ 1 3.00000+ 1 2.01087- 4 3.97141- 3 2.70000+ 1 3.20000+ 1 1.65128- 4 4.04003- 3 2.70000+ 1 3.30000+ 1 2.25906- 4 4.04417- 3 2.70000+ 1 4.10000+ 1 2.23232- 5 4.06622- 3 2.70000+ 1 4.30000+ 1 1.13392- 5 4.07729- 3 2.70000+ 1 4.40000+ 1 1.50598- 5 4.08069- 3 2.90000+ 1 2.90000+ 1 5.01864- 6 3.98794- 3 2.90000+ 1 3.00000+ 1 1.61464- 5 4.01890- 3 2.90000+ 1 3.20000+ 1 5.45508- 6 4.08752- 3 2.90000+ 1 3.30000+ 1 4.80051- 6 4.09166- 3 2.90000+ 1 4.10000+ 1 2.13844- 5 4.11371- 3 2.90000+ 1 4.30000+ 1 8.72782- 7 4.12478- 3 2.90000+ 1 4.40000+ 1 1.09098- 6 4.12818- 3 3.00000+ 1 3.00000+ 1 1.95818- 5 4.04986- 3 3.00000+ 1 3.20000+ 1 1.76257- 5 4.11848- 3 3.00000+ 1 3.30000+ 1 3.69903- 5 4.12262- 3 3.00000+ 1 4.10000+ 1 3.35076- 5 4.14467- 3 3.00000+ 1 4.30000+ 1 1.30550- 6 4.15574- 3 3.00000+ 1 4.40000+ 1 2.82877- 6 4.15914- 3 3.20000+ 1 3.20000+ 1 1.26540- 6 4.18710- 3 3.20000+ 1 3.30000+ 1 4.70016- 6 4.19124- 3 3.20000+ 1 4.10000+ 1 2.27772- 5 4.21329- 3 3.20000+ 1 4.30000+ 1 3.61555- 7 4.22436- 3 3.20000+ 1 4.40000+ 1 1.08464- 6 4.22776- 3 3.30000+ 1 3.30000+ 1 3.22718- 6 4.19538- 3 3.30000+ 1 4.10000+ 1 3.08377- 5 4.21743- 3 3.30000+ 1 4.30000+ 1 3.58579- 7 4.22850- 3 3.30000+ 1 4.40000+ 1 2.15149- 6 4.23190- 3 4.10000+ 1 4.10000+ 1 1.47089- 6 4.23948- 3 4.10000+ 1 4.30000+ 1 1.47089- 6 4.25055- 3 4.10000+ 1 4.40000+ 1 1.96131- 6 4.25395- 3 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.24710- 3 1.08040- 3 1.60000+ 1 8.25237- 4 2.97040- 3 2.10000+ 1 4.34088- 3 3.46472- 3 2.70000+ 1 1.92519- 4 3.79553- 3 3.20000+ 1 7.74397- 4 3.94260- 3 4.10000+ 1 3.03619- 5 3.96879- 3 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 5.91898- 3 6.62200- 5 1.10000+ 1 2.20000+ 1 1.46017- 2 9.40200- 5 1.10000+ 1 2.40000+ 1 2.85512- 2 3.75370- 4 1.10000+ 1 2.50000+ 1 2.51069- 2 3.82100- 4 1.10000+ 1 2.70000+ 1 3.10397- 3 3.97030- 4 1.10000+ 1 2.90000+ 1 4.10227- 3 4.44520- 4 1.10000+ 1 3.00000+ 1 2.30719- 3 4.75480- 4 1.10000+ 1 3.20000+ 1 1.18865- 3 5.44100- 4 1.10000+ 1 3.30000+ 1 2.35908- 3 5.48240- 4 1.10000+ 1 4.10000+ 1 4.30327- 4 5.70290- 4 1.10000+ 1 4.30000+ 1 3.32568- 4 5.81360- 4 1.10000+ 1 4.40000+ 1 1.62826- 4 5.84760- 4 1.30000+ 1 1.60000+ 1 4.79078- 2 5.90000- 5 1.30000+ 1 1.80000+ 1 4.91388- 2 1.89750- 4 1.30000+ 1 1.90000+ 1 4.13917- 2 3.38690- 4 1.30000+ 1 2.10000+ 1 1.75679- 2 5.53320- 4 1.30000+ 1 2.20000+ 1 2.34073- 2 5.81120- 4 1.30000+ 1 2.40000+ 1 1.44472- 1 8.62470- 4 1.30000+ 1 2.50000+ 1 2.24615- 1 8.69200- 4 1.30000+ 1 2.70000+ 1 1.06764- 2 8.84130- 4 1.30000+ 1 2.90000+ 1 8.47659- 3 9.31620- 4 1.30000+ 1 3.00000+ 1 7.98912- 3 9.62580- 4 1.30000+ 1 3.20000+ 1 2.63149- 3 1.03120- 3 1.30000+ 1 3.30000+ 1 3.58436- 3 1.03534- 3 1.30000+ 1 4.10000+ 1 1.55871- 3 1.05739- 3 1.30000+ 1 4.30000+ 1 7.29035- 4 1.06846- 3 1.30000+ 1 4.40000+ 1 5.91811- 4 1.07186- 3 1.40000+ 1 1.60000+ 1 7.55607- 3 1.84200- 4 1.40000+ 1 1.80000+ 1 5.54994- 2 3.14950- 4 1.40000+ 1 1.90000+ 1 4.72283- 3 4.63890- 4 1.40000+ 1 2.10000+ 1 1.19939- 3 6.78520- 4 1.40000+ 1 2.20000+ 1 2.69453- 3 7.06320- 4 1.40000+ 1 2.40000+ 1 6.53708- 3 9.87670- 4 1.40000+ 1 2.50000+ 1 4.26569- 3 9.94400- 4 1.40000+ 1 2.70000+ 1 1.11856- 3 1.00933- 3 1.40000+ 1 2.90000+ 1 7.42285- 3 1.05682- 3 1.40000+ 1 3.00000+ 1 7.96735- 4 1.08778- 3 1.40000+ 1 3.20000+ 1 8.17489- 5 1.15640- 3 1.40000+ 1 3.30000+ 1 3.48075- 4 1.16054- 3 1.40000+ 1 4.10000+ 1 1.53387- 4 1.18259- 3 1.40000+ 1 4.30000+ 1 6.12193- 4 1.19366- 3 1.40000+ 1 4.40000+ 1 5.81518- 5 1.19706- 3 1.60000+ 1 1.60000+ 1 6.73073- 4 1.94900- 3 1.60000+ 1 1.80000+ 1 1.00619- 2 2.07975- 3 1.60000+ 1 1.90000+ 1 1.33707- 3 2.22869- 3 1.60000+ 1 2.10000+ 1 3.58781- 4 2.44332- 3 1.60000+ 1 2.20000+ 1 1.16914- 3 2.47112- 3 1.60000+ 1 2.40000+ 1 5.18092- 5 2.75247- 3 1.60000+ 1 2.50000+ 1 8.54849- 4 2.75920- 3 1.60000+ 1 2.70000+ 1 2.32248- 4 2.77413- 3 1.60000+ 1 2.90000+ 1 1.30989- 3 2.82162- 3 1.60000+ 1 3.00000+ 1 2.40918- 4 2.85258- 3 1.60000+ 1 3.20000+ 1 3.62674- 5 2.92120- 3 1.60000+ 1 3.30000+ 1 1.48517- 4 2.92534- 3 1.60000+ 1 4.10000+ 1 3.28109- 5 2.94739- 3 1.60000+ 1 4.30000+ 1 1.07935- 4 2.95846- 3 1.60000+ 1 4.40000+ 1 1.77007- 5 2.96186- 3 1.80000+ 1 1.80000+ 1 7.79471- 3 2.21050- 3 1.80000+ 1 1.90000+ 1 2.15039- 2 2.35944- 3 1.80000+ 1 2.10000+ 1 2.16183- 2 2.57407- 3 1.80000+ 1 2.20000+ 1 3.41801- 2 2.60187- 3 1.80000+ 1 2.40000+ 1 1.30852- 2 2.88322- 3 1.80000+ 1 2.50000+ 1 2.17530- 2 2.88995- 3 1.80000+ 1 2.70000+ 1 2.26084- 3 2.90488- 3 1.80000+ 1 2.90000+ 1 2.66175- 3 2.95237- 3 1.80000+ 1 3.00000+ 1 4.26689- 3 2.98333- 3 1.80000+ 1 3.20000+ 1 3.09038- 3 3.05195- 3 1.80000+ 1 3.30000+ 1 4.73007- 3 3.05609- 3 1.80000+ 1 4.10000+ 1 3.34210- 4 3.07814- 3 1.80000+ 1 4.30000+ 1 2.30574- 4 3.08921- 3 1.80000+ 1 4.40000+ 1 3.19513- 4 3.09261- 3 1.90000+ 1 1.90000+ 1 5.66886- 4 2.50838- 3 1.90000+ 1 2.10000+ 1 1.36735- 3 2.72301- 3 1.90000+ 1 2.20000+ 1 1.22573- 3 2.75081- 3 1.90000+ 1 2.40000+ 1 8.78657- 3 3.03216- 3 1.90000+ 1 2.50000+ 1 2.42728- 3 3.03889- 3 1.90000+ 1 2.70000+ 1 1.92131- 4 3.05382- 3 1.90000+ 1 2.90000+ 1 2.86073- 3 3.10131- 3 1.90000+ 1 3.00000+ 1 1.89973- 4 3.13227- 3 1.90000+ 1 3.20000+ 1 1.54998- 4 3.20089- 3 1.90000+ 1 3.30000+ 1 1.51544- 4 3.20503- 3 1.90000+ 1 4.10000+ 1 2.63389- 5 3.22708- 3 1.90000+ 1 4.30000+ 1 2.36589- 4 3.23815- 3 1.90000+ 1 4.40000+ 1 1.38160- 5 3.24155- 3 2.10000+ 1 2.10000+ 1 7.68106- 4 2.93764- 3 2.10000+ 1 2.20000+ 1 1.70033- 3 2.96544- 3 2.10000+ 1 2.40000+ 1 9.28284- 4 3.24679- 3 2.10000+ 1 2.50000+ 1 1.50206- 3 3.25352- 3 2.10000+ 1 2.70000+ 1 7.72835- 5 3.26845- 3 2.10000+ 1 2.90000+ 1 2.79431- 3 3.31594- 3 2.10000+ 1 3.00000+ 1 2.46538- 4 3.34690- 3 2.10000+ 1 3.20000+ 1 1.80044- 4 3.41552- 3 2.10000+ 1 3.30000+ 1 2.17173- 4 3.41966- 3 2.10000+ 1 4.10000+ 1 1.12257- 5 3.44171- 3 2.10000+ 1 4.30000+ 1 2.29683- 4 3.45278- 3 2.10000+ 1 4.40000+ 1 1.81329- 5 3.45618- 3 2.20000+ 1 2.20000+ 1 4.45991- 4 2.99324- 3 2.20000+ 1 2.40000+ 1 2.45747- 3 3.27459- 3 2.20000+ 1 2.50000+ 1 5.80713- 4 3.28132- 3 2.20000+ 1 2.70000+ 1 2.08541- 4 3.29625- 3 2.20000+ 1 2.90000+ 1 4.47642- 3 3.34374- 3 2.20000+ 1 3.00000+ 1 1.87820- 4 3.37470- 3 2.20000+ 1 3.20000+ 1 1.98608- 4 3.44332- 3 2.20000+ 1 3.30000+ 1 1.04917- 4 3.44746- 3 2.20000+ 1 4.10000+ 1 2.97891- 5 3.46951- 3 2.20000+ 1 4.30000+ 1 3.68719- 4 3.48058- 3 2.20000+ 1 4.40000+ 1 1.33843- 5 3.48398- 3 2.40000+ 1 2.40000+ 1 3.33886- 3 3.55594- 3 2.40000+ 1 2.50000+ 1 2.13665- 2 3.56267- 3 2.40000+ 1 2.70000+ 1 6.90809- 6 3.57760- 3 2.40000+ 1 2.90000+ 1 1.56294- 3 3.62509- 3 2.40000+ 1 3.00000+ 1 1.63986- 3 3.65605- 3 2.40000+ 1 3.20000+ 1 1.47227- 4 3.72467- 3 2.40000+ 1 3.30000+ 1 3.94636- 4 3.72881- 3 2.40000+ 1 4.10000+ 1 8.63506- 7 3.75086- 3 2.40000+ 1 4.30000+ 1 1.27367- 4 3.76193- 3 2.40000+ 1 4.40000+ 1 1.21755- 4 3.76533- 3 2.50000+ 1 2.50000+ 1 1.11783- 3 3.56940- 3 2.50000+ 1 2.70000+ 1 1.58021- 4 3.58433- 3 2.50000+ 1 2.90000+ 1 2.54436- 3 3.63182- 3 2.50000+ 1 3.00000+ 1 4.03702- 4 3.66278- 3 2.50000+ 1 3.20000+ 1 2.24073- 4 3.73140- 3 2.50000+ 1 3.30000+ 1 8.46239- 5 3.73554- 3 2.50000+ 1 4.10000+ 1 2.24514- 5 3.75759- 3 2.50000+ 1 4.30000+ 1 2.05954- 4 3.76866- 3 2.50000+ 1 4.40000+ 1 2.93600- 5 3.77206- 3 2.70000+ 1 2.70000+ 1 2.03205- 5 3.59926- 3 2.70000+ 1 2.90000+ 1 3.03054- 4 3.64675- 3 2.70000+ 1 3.00000+ 1 3.53413- 5 3.67771- 3 2.70000+ 1 3.20000+ 1 7.50972- 6 3.74633- 3 2.70000+ 1 3.30000+ 1 2.73900- 5 3.75047- 3 2.70000+ 1 4.10000+ 1 5.74277- 6 3.77252- 3 2.70000+ 1 4.30000+ 1 2.51794- 5 3.78359- 3 2.70000+ 1 4.40000+ 1 2.65054- 6 3.78699- 3 2.90000+ 1 2.90000+ 1 2.17732- 4 3.69424- 3 2.90000+ 1 3.00000+ 1 5.82391- 4 3.72520- 3 2.90000+ 1 3.20000+ 1 4.09072- 4 3.79382- 3 2.90000+ 1 3.30000+ 1 6.34733- 4 3.79796- 3 2.90000+ 1 4.10000+ 1 4.44285- 5 3.82001- 3 2.90000+ 1 4.30000+ 1 3.73900- 5 3.83108- 3 2.90000+ 1 4.40000+ 1 4.35477- 5 3.83448- 3 3.00000+ 1 3.00000+ 1 2.02229- 5 3.75616- 3 3.00000+ 1 3.20000+ 1 3.55268- 5 3.82478- 3 3.00000+ 1 3.30000+ 1 2.95135- 5 3.82892- 3 3.00000+ 1 4.10000+ 1 6.01214- 6 3.85097- 3 3.00000+ 1 4.30000+ 1 6.01214- 5 3.86204- 3 3.00000+ 1 4.40000+ 1 2.73274- 6 3.86544- 3 3.20000+ 1 3.20000+ 1 1.08823- 5 3.89340- 3 3.20000+ 1 3.30000+ 1 2.81136- 5 3.89754- 3 3.20000+ 1 4.10000+ 1 9.06840- 7 3.91959- 3 3.20000+ 1 4.30000+ 1 3.49140- 5 3.93066- 3 3.20000+ 1 4.40000+ 1 2.26703- 6 3.93406- 3 3.30000+ 1 3.30000+ 1 7.88916- 6 3.90168- 3 3.30000+ 1 4.10000+ 1 4.73366- 6 3.92373- 3 3.30000+ 1 4.30000+ 1 6.25902- 5 3.93480- 3 3.30000+ 1 4.40000+ 1 2.10375- 6 3.93820- 3 4.10000+ 1 4.10000+ 1 4.31754- 7 3.94578- 3 4.10000+ 1 4.30000+ 1 3.45418- 6 3.95685- 3 4.10000+ 1 4.40000+ 1 4.31754- 7 3.96025- 3 4.30000+ 1 4.30000+ 1 1.29525- 6 3.96792- 3 4.30000+ 1 4.40000+ 1 3.45413- 6 3.97132- 3 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.45061- 5 4.87100- 4 1.40000+ 1 2.76041- 4 6.12300- 4 1.60000+ 1 1.59151- 3 2.37710- 3 2.10000+ 1 7.70053- 4 2.87142- 3 2.20000+ 1 5.88952- 3 2.89922- 3 2.70000+ 1 3.57531- 4 3.20223- 3 3.20000+ 1 1.26150- 4 3.34930- 3 3.30000+ 1 9.70653- 4 3.35344- 3 4.10000+ 1 5.60782- 5 3.37549- 3 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.20000+ 1 1.18845- 2 0.00000+ 0 1.30000+ 1 2.40000+ 1 1.66053- 2 2.69170- 4 1.30000+ 1 2.50000+ 1 2.41937- 2 2.75900- 4 1.30000+ 1 2.70000+ 1 2.92151- 3 2.90830- 4 1.30000+ 1 2.90000+ 1 2.61027- 3 3.38320- 4 1.30000+ 1 3.00000+ 1 8.22687- 3 3.69280- 4 1.30000+ 1 3.20000+ 1 1.35250- 3 4.37900- 4 1.30000+ 1 3.30000+ 1 1.43829- 3 4.42040- 4 1.30000+ 1 4.10000+ 1 4.14720- 4 4.64090- 4 1.30000+ 1 4.30000+ 1 2.23674- 4 4.75160- 4 1.30000+ 1 4.40000+ 1 5.85938- 4 4.78560- 4 1.40000+ 1 2.10000+ 1 4.88184- 2 8.52200- 5 1.40000+ 1 2.20000+ 1 6.51618- 2 1.13020- 4 1.40000+ 1 2.40000+ 1 1.87715- 1 3.94370- 4 1.40000+ 1 2.50000+ 1 2.26827- 1 4.01100- 4 1.40000+ 1 2.70000+ 1 1.75485- 2 4.16030- 4 1.40000+ 1 2.90000+ 1 1.75550- 2 4.63520- 4 1.40000+ 1 3.00000+ 1 2.05093- 2 4.94480- 4 1.40000+ 1 3.20000+ 1 5.85008- 3 5.63100- 4 1.40000+ 1 3.30000+ 1 8.35793- 3 5.67240- 4 1.40000+ 1 4.10000+ 1 2.54562- 3 5.89290- 4 1.40000+ 1 4.30000+ 1 1.51049- 3 6.00360- 4 1.40000+ 1 4.40000+ 1 1.49297- 3 6.03760- 4 1.60000+ 1 1.60000+ 1 2.65556- 4 1.35570- 3 1.60000+ 1 1.80000+ 1 6.01801- 4 1.48645- 3 1.60000+ 1 1.90000+ 1 1.21962- 2 1.63539- 3 1.60000+ 1 2.10000+ 1 7.30007- 4 1.85002- 3 1.60000+ 1 2.20000+ 1 9.00647- 4 1.87782- 3 1.60000+ 1 2.40000+ 1 1.92442- 3 2.15917- 3 1.60000+ 1 2.50000+ 1 3.42642- 3 2.16590- 3 1.60000+ 1 2.70000+ 1 9.30769- 5 2.18083- 3 1.60000+ 1 2.90000+ 1 8.48628- 5 2.22832- 3 1.60000+ 1 3.00000+ 1 1.56907- 3 2.25928- 3 1.60000+ 1 3.20000+ 1 9.07941- 5 2.32790- 3 1.60000+ 1 3.30000+ 1 1.07220- 4 2.33204- 3 1.60000+ 1 4.10000+ 1 1.32314- 5 2.35409- 3 1.60000+ 1 4.30000+ 1 6.84388- 6 2.36516- 3 1.60000+ 1 4.40000+ 1 1.09958- 4 2.36856- 3 1.80000+ 1 1.80000+ 1 1.55129- 5 1.61720- 3 1.80000+ 1 1.90000+ 1 1.51643- 2 1.76614- 3 1.80000+ 1 2.10000+ 1 3.29873- 4 1.98077- 3 1.80000+ 1 2.20000+ 1 3.26740- 3 2.00857- 3 1.80000+ 1 2.40000+ 1 1.68132- 3 2.28992- 3 1.80000+ 1 2.50000+ 1 8.96004- 3 2.29665- 3 1.80000+ 1 2.70000+ 1 9.80962- 5 2.31158- 3 1.80000+ 1 2.90000+ 1 4.56275- 6 2.35907- 3 1.80000+ 1 3.00000+ 1 1.99517- 3 2.39003- 3 1.80000+ 1 3.20000+ 1 4.51704- 5 2.45865- 3 1.80000+ 1 3.30000+ 1 3.70943- 4 2.46279- 3 1.80000+ 1 4.10000+ 1 1.36878- 5 2.48484- 3 1.80000+ 1 4.30000+ 1 4.56275- 7 2.49591- 3 1.80000+ 1 4.40000+ 1 1.40531- 4 2.49931- 3 1.90000+ 1 1.90000+ 1 1.97238- 2 1.91508- 3 1.90000+ 1 2.10000+ 1 2.90217- 2 2.12971- 3 1.90000+ 1 2.20000+ 1 3.78307- 2 2.15751- 3 1.90000+ 1 2.40000+ 1 2.59499- 2 2.43886- 3 1.90000+ 1 2.50000+ 1 2.96893- 2 2.44559- 3 1.90000+ 1 2.70000+ 1 2.69141- 3 2.46052- 3 1.90000+ 1 2.90000+ 1 3.04298- 3 2.50801- 3 1.90000+ 1 3.00000+ 1 6.47056- 3 2.53897- 3 1.90000+ 1 3.20000+ 1 4.00782- 3 2.60759- 3 1.90000+ 1 3.30000+ 1 5.17446- 3 2.61173- 3 1.90000+ 1 4.10000+ 1 3.96493- 4 2.63378- 3 1.90000+ 1 4.30000+ 1 2.68282- 4 2.64485- 3 1.90000+ 1 4.40000+ 1 4.73129- 4 2.64825- 3 2.10000+ 1 2.10000+ 1 1.93921- 4 2.34434- 3 2.10000+ 1 2.20000+ 1 4.67860- 3 2.37214- 3 2.10000+ 1 2.40000+ 1 7.15889- 4 2.65349- 3 2.10000+ 1 2.50000+ 1 8.29404- 3 2.66022- 3 2.10000+ 1 2.70000+ 1 8.98843- 5 2.67515- 3 2.10000+ 1 2.90000+ 1 2.28130- 5 2.72264- 3 2.10000+ 1 3.00000+ 1 3.74321- 3 2.75360- 3 2.10000+ 1 3.20000+ 1 4.37998- 5 2.82222- 3 2.10000+ 1 3.30000+ 1 5.64419- 4 2.82636- 3 2.10000+ 1 4.10000+ 1 1.18631- 5 2.84841- 3 2.10000+ 1 4.30000+ 1 1.82501- 6 2.85948- 3 2.10000+ 1 4.40000+ 1 2.62803- 4 2.86288- 3 2.20000+ 1 2.20000+ 1 2.04273- 3 2.39994- 3 2.20000+ 1 2.40000+ 1 6.70209- 3 2.68129- 3 2.20000+ 1 2.50000+ 1 5.56788- 3 2.68802- 3 2.20000+ 1 2.70000+ 1 1.15891- 4 2.70295- 3 2.20000+ 1 2.90000+ 1 3.28044- 4 2.75044- 3 2.20000+ 1 3.00000+ 1 4.81827- 3 2.78140- 3 2.20000+ 1 3.20000+ 1 5.64416- 4 2.85002- 3 2.20000+ 1 3.30000+ 1 4.95051- 4 2.85416- 3 2.20000+ 1 4.10000+ 1 1.55129- 5 2.87621- 3 2.20000+ 1 4.30000+ 1 2.60079- 5 2.88728- 3 2.20000+ 1 4.40000+ 1 3.37183- 4 2.89068- 3 2.40000+ 1 2.40000+ 1 1.08458- 3 2.96264- 3 2.40000+ 1 2.50000+ 1 2.83810- 2 2.96937- 3 2.40000+ 1 2.70000+ 1 2.12167- 4 2.98430- 3 2.40000+ 1 2.90000+ 1 2.78792- 4 3.03179- 3 2.40000+ 1 3.00000+ 1 3.18708- 3 3.06275- 3 2.40000+ 1 3.20000+ 1 1.14525- 4 3.13137- 3 2.40000+ 1 3.30000+ 1 8.63718- 4 3.13551- 3 2.40000+ 1 4.10000+ 1 2.82896- 5 3.15756- 3 2.40000+ 1 4.30000+ 1 2.37274- 5 3.16863- 3 2.40000+ 1 4.40000+ 1 2.22221- 4 3.17203- 3 2.50000+ 1 2.50000+ 1 1.12434- 2 2.97610- 3 2.50000+ 1 2.70000+ 1 3.36713- 4 2.99103- 3 2.50000+ 1 2.90000+ 1 1.46868- 3 3.03852- 3 2.50000+ 1 3.00000+ 1 3.79518- 3 3.06948- 3 2.50000+ 1 3.20000+ 1 1.13609- 3 3.13810- 3 2.50000+ 1 3.30000+ 1 7.78376- 4 3.14224- 3 2.50000+ 1 4.10000+ 1 4.33436- 5 3.16429- 3 2.50000+ 1 4.30000+ 1 1.25928- 4 3.17536- 3 2.50000+ 1 4.40000+ 1 2.67348- 4 3.17876- 3 2.70000+ 1 2.70000+ 1 1.02875- 5 3.00596- 3 2.70000+ 1 2.90000+ 1 1.64604- 5 3.05345- 3 2.70000+ 1 3.00000+ 1 3.91448- 4 3.08441- 3 2.70000+ 1 3.20000+ 1 1.33741- 5 3.15303- 3 2.70000+ 1 3.30000+ 1 1.64604- 5 3.15717- 3 2.70000+ 1 4.10000+ 1 3.08622- 6 3.17922- 3 2.70000+ 1 4.30000+ 1 1.54314- 6 3.19029- 3 2.70000+ 1 4.40000+ 1 2.72622- 5 3.19369- 3 2.90000+ 1 2.90000+ 1 4.97313- 7 3.10094- 3 2.90000+ 1 3.00000+ 1 4.38622- 4 3.13190- 3 2.90000+ 1 3.20000+ 1 2.98372- 6 3.20052- 3 2.90000+ 1 3.30000+ 1 4.27664- 5 3.20466- 3 2.90000+ 1 4.10000+ 1 1.98914- 6 3.22671- 3 2.90000+ 1 4.40000+ 1 3.08333- 5 3.24118- 3 3.00000+ 1 3.00000+ 1 6.08014- 4 3.16286- 3 3.00000+ 1 3.20000+ 1 6.23881- 4 3.23148- 3 3.00000+ 1 3.30000+ 1 7.94386- 4 3.23562- 3 3.00000+ 1 4.10000+ 1 6.14019- 5 3.25767- 3 3.00000+ 1 4.30000+ 1 4.27605- 5 3.26874- 3 3.00000+ 1 4.40000+ 1 8.82640- 5 3.27214- 3 3.20000+ 1 3.20000+ 1 2.73757- 6 3.30010- 3 3.20000+ 1 3.30000+ 1 7.30039- 5 3.30424- 3 3.20000+ 1 4.10000+ 1 1.82504- 6 3.32629- 3 3.20000+ 1 4.40000+ 1 3.65039- 5 3.34076- 3 3.30000+ 1 3.30000+ 1 3.22027- 5 3.30838- 3 3.30000+ 1 4.10000+ 1 1.86678- 6 3.33043- 3 3.30000+ 1 4.30000+ 1 3.26702- 6 3.34150- 3 3.30000+ 1 4.40000+ 1 4.76048- 5 3.34490- 3 4.10000+ 1 4.40000+ 1 3.65031- 6 3.36695- 3 4.30000+ 1 4.40000+ 1 2.28131- 6 3.37802- 3 4.40000+ 1 4.40000+ 1 2.28131- 6 3.38142- 3 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.05719- 3 2.02075- 3 1.90000+ 1 2.00419- 4 2.16969- 3 2.40000+ 1 3.87588- 2 2.69347- 3 2.90000+ 1 5.04937- 4 2.76262- 3 3.00000+ 1 4.93287- 5 2.79358- 3 4.30000+ 1 3.32138- 5 2.89946- 3 4.40000+ 1 2.83528- 6 2.90286- 3 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.00000+ 1 8.91392- 3 7.38000- 6 1.40000+ 1 3.20000+ 1 4.80515- 2 7.60000- 5 1.40000+ 1 3.30000+ 1 6.78730- 3 8.01400- 5 1.40000+ 1 4.10000+ 1 8.19169- 4 1.02190- 4 1.40000+ 1 4.30000+ 1 3.03113- 4 1.13260- 4 1.40000+ 1 4.40000+ 1 5.74565- 4 1.16660- 4 1.60000+ 1 1.60000+ 1 2.01434- 5 8.68600- 4 1.60000+ 1 1.80000+ 1 1.04164- 3 9.99350- 4 1.60000+ 1 1.90000+ 1 8.44094- 4 1.14829- 3 1.60000+ 1 2.10000+ 1 3.21549- 2 1.36292- 3 1.60000+ 1 2.20000+ 1 3.71119- 3 1.39072- 3 1.60000+ 1 2.40000+ 1 1.55474- 2 1.67207- 3 1.60000+ 1 2.50000+ 1 4.03845- 3 1.67880- 3 1.60000+ 1 2.70000+ 1 1.82243- 5 1.69373- 3 1.60000+ 1 2.90000+ 1 1.71692- 4 1.74122- 3 1.60000+ 1 3.00000+ 1 1.11264- 4 1.77218- 3 1.60000+ 1 3.20000+ 1 3.15482- 3 1.84080- 3 1.60000+ 1 3.30000+ 1 3.78886- 4 1.84494- 3 1.60000+ 1 4.10000+ 1 2.87758- 6 1.86699- 3 1.60000+ 1 4.30000+ 1 1.43880- 5 1.87806- 3 1.60000+ 1 4.40000+ 1 7.67386- 6 1.88146- 3 1.80000+ 1 1.80000+ 1 5.91842- 4 1.13010- 3 1.80000+ 1 1.90000+ 1 4.11218- 3 1.27904- 3 1.80000+ 1 2.10000+ 1 2.89373- 2 1.49367- 3 1.80000+ 1 2.20000+ 1 1.92229- 3 1.52147- 3 1.80000+ 1 2.40000+ 1 1.04881- 2 1.80282- 3 1.80000+ 1 2.50000+ 1 5.33987- 3 1.80955- 3 1.80000+ 1 2.70000+ 1 1.44846- 4 1.82448- 3 1.80000+ 1 2.90000+ 1 1.92805- 4 1.87197- 3 1.80000+ 1 3.00000+ 1 6.04312- 4 1.90293- 3 1.80000+ 1 3.20000+ 1 2.81815- 3 1.97155- 3 1.80000+ 1 3.30000+ 1 2.25412- 4 1.97569- 3 1.80000+ 1 4.10000+ 1 2.01437- 5 1.99774- 3 1.80000+ 1 4.30000+ 1 1.63064- 5 2.00881- 3 1.80000+ 1 4.40000+ 1 4.31653- 5 2.01221- 3 1.90000+ 1 1.90000+ 1 1.44935- 3 1.42798- 3 1.90000+ 1 2.10000+ 1 5.73223- 2 1.64261- 3 1.90000+ 1 2.20000+ 1 2.17843- 3 1.67041- 3 1.90000+ 1 2.40000+ 1 2.85463- 3 1.95176- 3 1.90000+ 1 2.50000+ 1 1.96543- 3 1.95849- 3 1.90000+ 1 2.70000+ 1 1.41971- 4 1.97342- 3 1.90000+ 1 2.90000+ 1 5.27569- 4 2.02091- 3 1.90000+ 1 3.00000+ 1 4.06701- 4 2.05187- 3 1.90000+ 1 3.20000+ 1 5.64402- 3 2.12049- 3 1.90000+ 1 3.30000+ 1 2.33088- 4 2.12463- 3 1.90000+ 1 4.10000+ 1 2.01435- 5 2.14668- 3 1.90000+ 1 4.30000+ 1 4.31651- 5 2.15775- 3 1.90000+ 1 4.40000+ 1 2.87760- 5 2.16115- 3 2.10000+ 1 2.10000+ 1 5.20265- 2 1.85724- 3 2.10000+ 1 2.20000+ 1 1.02811- 1 1.88504- 3 2.10000+ 1 2.40000+ 1 5.80437- 2 2.16639- 3 2.10000+ 1 2.50000+ 1 6.96382- 2 2.17312- 3 2.10000+ 1 2.70000+ 1 6.51853- 3 2.18805- 3 2.10000+ 1 2.90000+ 1 5.85975- 3 2.23554- 3 2.10000+ 1 3.00000+ 1 1.10636- 2 2.26650- 3 2.10000+ 1 3.20000+ 1 1.24090- 2 2.33512- 3 2.10000+ 1 3.30000+ 1 1.39046- 2 2.33926- 3 2.10000+ 1 4.10000+ 1 9.50579- 4 2.36131- 3 2.10000+ 1 4.30000+ 1 5.17979- 4 2.37238- 3 2.10000+ 1 4.40000+ 1 8.24909- 4 2.37578- 3 2.20000+ 1 2.20000+ 1 1.63539- 3 1.91284- 3 2.20000+ 1 2.40000+ 1 6.63363- 2 2.19419- 3 2.20000+ 1 2.50000+ 1 3.26709- 3 2.20092- 3 2.20000+ 1 2.70000+ 1 3.97103- 4 2.21585- 3 2.20000+ 1 2.90000+ 1 2.37879- 4 2.26334- 3 2.20000+ 1 3.00000+ 1 3.38602- 4 2.29430- 3 2.20000+ 1 3.20000+ 1 1.01747- 2 2.36292- 3 2.20000+ 1 3.30000+ 1 3.64497- 4 2.36706- 3 2.20000+ 1 4.10000+ 1 5.27567- 5 2.38911- 3 2.20000+ 1 4.30000+ 1 2.01435- 5 2.40018- 3 2.20000+ 1 4.40000+ 1 2.39799- 5 2.40358- 3 2.40000+ 1 2.40000+ 1 6.37326- 2 2.47554- 3 2.40000+ 1 2.50000+ 1 1.83809- 1 2.48227- 3 2.40000+ 1 2.70000+ 1 3.33520- 3 2.49720- 3 2.40000+ 1 2.90000+ 1 1.73815- 3 2.54469- 3 2.40000+ 1 3.00000+ 1 5.68831- 4 2.57565- 3 2.40000+ 1 3.20000+ 1 6.21206- 3 2.64427- 3 2.40000+ 1 3.30000+ 1 8.56020- 3 2.64841- 3 2.40000+ 1 4.10000+ 1 4.89198- 4 2.67046- 3 2.40000+ 1 4.30000+ 1 1.50606- 4 2.68153- 3 2.40000+ 1 4.40000+ 1 4.22074- 5 2.68493- 3 2.50000+ 1 2.50000+ 1 3.75073- 3 2.48900- 3 2.50000+ 1 2.70000+ 1 5.99200- 4 2.50393- 3 2.50000+ 1 2.90000+ 1 4.55963- 4 2.55142- 3 2.50000+ 1 3.00000+ 1 3.37045- 4 2.58238- 3 2.50000+ 1 3.20000+ 1 6.18195- 3 2.65100- 3 2.50000+ 1 3.30000+ 1 3.85731- 4 2.65514- 3 2.50000+ 1 4.10000+ 1 8.23882- 5 2.67719- 3 2.50000+ 1 4.30000+ 1 3.55769- 5 2.68826- 3 2.50000+ 1 4.40000+ 1 2.43423- 5 2.69166- 3 2.70000+ 1 2.70000+ 1 2.02348- 6 2.51886- 3 2.70000+ 1 2.90000+ 1 2.73168- 5 2.56635- 3 2.70000+ 1 3.00000+ 1 2.02348- 5 2.59731- 3 2.70000+ 1 3.20000+ 1 6.79910- 4 2.66593- 3 2.70000+ 1 3.30000+ 1 4.75528- 5 2.67007- 3 2.70000+ 1 4.10000+ 1 1.01172- 6 2.69212- 3 2.70000+ 1 4.30000+ 1 2.02348- 6 2.70319- 3 2.70000+ 1 4.40000+ 1 1.01172- 6 2.70659- 3 2.90000+ 1 2.90000+ 1 2.08232- 5 2.61384- 3 2.90000+ 1 3.00000+ 1 9.94884- 5 2.64480- 3 2.90000+ 1 3.20000+ 1 6.91786- 4 2.71342- 3 2.90000+ 1 3.30000+ 1 3.70185- 5 2.71756- 3 2.90000+ 1 4.10000+ 1 4.62722- 6 2.73961- 3 2.90000+ 1 4.30000+ 1 3.47050- 6 2.75068- 3 2.90000+ 1 4.40000+ 1 6.94089- 6 2.75408- 3 3.00000+ 1 3.00000+ 1 3.85539- 5 2.67576- 3 3.00000+ 1 3.20000+ 1 1.42158- 3 2.74438- 3 3.00000+ 1 3.30000+ 1 4.97450- 5 2.74852- 3 3.00000+ 1 4.10000+ 1 3.73097- 6 2.77057- 3 3.00000+ 1 4.30000+ 1 8.70548- 6 2.78164- 3 3.00000+ 1 4.40000+ 1 4.97450- 6 2.78504- 3 3.20000+ 1 3.20000+ 1 7.15572- 4 2.81300- 3 3.20000+ 1 3.30000+ 1 1.38314- 3 2.81714- 3 3.20000+ 1 4.10000+ 1 9.40021- 5 2.83919- 3 3.20000+ 1 4.30000+ 1 5.08405- 5 2.85026- 3 3.20000+ 1 4.40000+ 1 8.15342- 5 2.85366- 3 3.30000+ 1 3.30000+ 1 3.01937- 5 2.82128- 3 3.30000+ 1 4.10000+ 1 8.62646- 6 2.84333- 3 3.30000+ 1 4.30000+ 1 4.31330- 6 2.85440- 3 3.30000+ 1 4.40000+ 1 4.31330- 6 2.85780- 3 4.30000+ 1 4.40000+ 1 9.59184- 7 2.89092- 3 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.52019- 3 2.04449- 3 2.40000+ 1 1.90899- 3 2.56827- 3 2.50000+ 1 3.73388- 2 2.57500- 3 3.00000+ 1 3.57458- 4 2.66838- 3 4.40000+ 1 2.11389- 5 2.77766- 3 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.80000+ 1 2.43883- 4 8.74150- 4 1.60000+ 1 1.90000+ 1 1.89371- 3 1.02309- 3 1.60000+ 1 2.10000+ 1 3.29977- 3 1.23772- 3 1.60000+ 1 2.20000+ 1 3.53104- 2 1.26552- 3 1.60000+ 1 2.40000+ 1 4.27933- 3 1.54687- 3 1.60000+ 1 2.50000+ 1 1.64745- 2 1.55360- 3 1.60000+ 1 2.70000+ 1 1.16597- 5 1.56853- 3 1.60000+ 1 2.90000+ 1 1.55465- 5 1.61602- 3 1.60000+ 1 3.00000+ 1 2.57481- 4 1.64698- 3 1.60000+ 1 3.20000+ 1 3.18692- 4 1.71560- 3 1.60000+ 1 3.30000+ 1 3.42027- 3 1.71974- 3 1.60000+ 1 4.10000+ 1 1.94334- 6 1.74179- 3 1.60000+ 1 4.30000+ 1 9.71689- 7 1.75286- 3 1.60000+ 1 4.40000+ 1 1.84607- 5 1.75626- 3 1.80000+ 1 1.90000+ 1 5.28090- 3 1.15384- 3 1.80000+ 1 2.10000+ 1 2.59424- 4 1.36847- 3 1.80000+ 1 2.20000+ 1 3.65221- 2 1.39627- 3 1.80000+ 1 2.40000+ 1 2.23673- 3 1.67762- 3 1.80000+ 1 2.50000+ 1 9.13738- 3 1.68435- 3 1.80000+ 1 2.70000+ 1 3.20636- 5 1.69928- 3 1.80000+ 1 2.90000+ 1 9.71683- 7 1.74677- 3 1.80000+ 1 3.00000+ 1 7.17063- 4 1.77773- 3 1.80000+ 1 3.20000+ 1 7.77331- 6 1.84635- 3 1.80000+ 1 3.30000+ 1 3.53191- 3 1.85049- 3 1.80000+ 1 4.10000+ 1 4.85817- 6 1.87254- 3 1.80000+ 1 4.40000+ 1 5.05271- 5 1.88701- 3 1.90000+ 1 1.90000+ 1 3.49885- 3 1.30278- 3 1.90000+ 1 2.10000+ 1 3.35701- 3 1.51741- 3 1.90000+ 1 2.20000+ 1 5.43126- 2 1.54521- 3 1.90000+ 1 2.40000+ 1 2.22799- 3 1.82656- 3 1.90000+ 1 2.50000+ 1 4.05567- 3 1.83329- 3 1.90000+ 1 2.70000+ 1 3.33270- 4 1.84822- 3 1.90000+ 1 2.90000+ 1 6.44208- 4 1.89571- 3 1.90000+ 1 3.00000+ 1 9.78391- 4 1.92667- 3 1.90000+ 1 3.20000+ 1 4.00327- 4 1.99529- 3 1.90000+ 1 3.30000+ 1 5.23622- 3 1.99943- 3 1.90000+ 1 4.10000+ 1 4.76099- 5 2.02148- 3 1.90000+ 1 4.30000+ 1 5.24694- 5 2.03255- 3 1.90000+ 1 4.40000+ 1 6.99592- 5 2.03595- 3 2.10000+ 1 2.10000+ 1 7.30688- 4 1.73204- 3 2.10000+ 1 2.20000+ 1 7.59145- 2 1.75984- 3 2.10000+ 1 2.40000+ 1 2.93936- 3 2.04119- 3 2.10000+ 1 2.50000+ 1 4.04799- 2 2.04792- 3 2.10000+ 1 2.70000+ 1 3.33283- 4 2.06285- 3 2.10000+ 1 2.90000+ 1 6.02454- 5 2.11034- 3 2.10000+ 1 3.00000+ 1 4.73219- 4 2.14130- 3 2.10000+ 1 3.20000+ 1 1.59351- 4 2.20992- 3 2.10000+ 1 3.30000+ 1 7.40614- 3 2.21406- 3 2.10000+ 1 4.10000+ 1 4.37257- 5 2.23611- 3 2.10000+ 1 4.30000+ 1 4.85835- 6 2.24718- 3 2.10000+ 1 4.40000+ 1 3.40092- 5 2.25058- 3 2.20000+ 1 2.20000+ 1 8.45334- 2 1.78764- 3 2.20000+ 1 2.40000+ 1 6.40230- 2 2.06899- 3 2.20000+ 1 2.50000+ 1 1.02354- 1 2.07572- 3 2.20000+ 1 2.70000+ 1 6.85709- 3 2.09065- 3 2.20000+ 1 2.90000+ 1 7.05997- 3 2.13814- 3 2.20000+ 1 3.00000+ 1 1.05778- 2 2.16910- 3 2.20000+ 1 3.20000+ 1 1.03475- 2 2.23772- 3 2.20000+ 1 3.30000+ 1 1.96728- 2 2.24186- 3 2.20000+ 1 4.10000+ 1 9.94061- 4 2.26391- 3 2.20000+ 1 4.30000+ 1 6.18938- 4 2.27498- 3 2.20000+ 1 4.40000+ 1 7.89949- 4 2.27838- 3 2.40000+ 1 2.40000+ 1 5.25576- 3 2.35034- 3 2.40000+ 1 2.50000+ 1 1.67549- 1 2.35707- 3 2.40000+ 1 2.70000+ 1 7.09325- 4 2.37200- 3 2.40000+ 1 2.90000+ 1 4.02268- 4 2.41949- 3 2.40000+ 1 3.00000+ 1 3.63417- 4 2.45045- 3 2.40000+ 1 3.20000+ 1 3.88659- 4 2.51907- 3 2.40000+ 1 3.30000+ 1 5.90989- 3 2.52321- 3 2.40000+ 1 4.10000+ 1 9.91081- 5 2.54526- 3 2.40000+ 1 4.30000+ 1 3.49809- 5 2.55633- 3 2.40000+ 1 4.40000+ 1 2.62352- 5 2.55973- 3 2.50000+ 1 2.50000+ 1 1.14558- 1 2.36380- 3 2.50000+ 1 2.70000+ 1 3.46283- 3 2.37873- 3 2.50000+ 1 2.90000+ 1 1.80044- 3 2.42622- 3 2.50000+ 1 3.00000+ 1 7.60774- 4 2.45718- 3 2.50000+ 1 3.20000+ 1 5.17396- 3 2.52580- 3 2.50000+ 1 3.30000+ 1 1.10895- 2 2.52994- 3 2.50000+ 1 4.10000+ 1 5.07183- 4 2.55199- 3 2.50000+ 1 4.30000+ 1 1.59341- 4 2.56306- 3 2.50000+ 1 4.40000+ 1 5.73235- 5 2.56646- 3 2.70000+ 1 2.70000+ 1 1.11125- 6 2.39366- 3 2.70000+ 1 2.90000+ 1 2.22245- 6 2.44115- 3 2.70000+ 1 3.00000+ 1 5.44483- 5 2.47211- 3 2.70000+ 1 3.20000+ 1 4.11152- 5 2.54073- 3 2.70000+ 1 3.30000+ 1 7.64515- 4 2.54487- 3 2.70000+ 1 4.40000+ 1 3.33362- 6 2.58139- 3 2.90000+ 1 3.00000+ 1 1.03510- 4 2.51960- 3 2.90000+ 1 3.20000+ 1 3.23476- 6 2.58822- 3 2.90000+ 1 3.30000+ 1 7.68783- 4 2.59236- 3 2.90000+ 1 4.40000+ 1 7.54751- 6 2.62888- 3 3.00000+ 1 3.00000+ 1 8.57119- 5 2.55056- 3 3.00000+ 1 3.20000+ 1 7.48476- 5 2.61918- 3 3.00000+ 1 3.30000+ 1 1.27115- 3 2.62332- 3 3.00000+ 1 4.10000+ 1 8.45010- 6 2.64537- 3 3.00000+ 1 4.30000+ 1 9.65774- 6 2.65644- 3 3.00000+ 1 4.40000+ 1 1.20724- 5 2.65984- 3 3.20000+ 1 3.20000+ 1 8.74526- 6 2.68780- 3 3.20000+ 1 3.30000+ 1 1.01640- 3 2.69194- 3 3.20000+ 1 4.10000+ 1 4.85830- 6 2.71399- 3 3.20000+ 1 4.40000+ 1 3.88657- 6 2.72846- 3 3.30000+ 1 3.30000+ 1 1.11255- 3 2.69608- 3 3.30000+ 1 4.10000+ 1 9.71679- 5 2.71813- 3 3.30000+ 1 4.30000+ 1 6.12147- 5 2.72920- 3 3.30000+ 1 4.40000+ 1 7.67581- 5 2.73260- 3 4.30000+ 1 4.40000+ 1 9.71695- 7 2.76572- 3 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.71908- 5 1.30750- 4 1.90000+ 1 3.51647- 4 2.79690- 4 2.90000+ 1 2.35468- 4 8.72620- 4 3.00000+ 1 7.96233- 5 9.03580- 4 4.30000+ 1 2.60208- 5 1.00946- 3 4.40000+ 1 8.86522- 6 1.01286- 3 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.00000+ 1 5.45643- 2 1.29300- 5 1.80000+ 1 3.20000+ 1 4.61469- 2 8.15500- 5 1.80000+ 1 3.30000+ 1 7.38165- 2 8.56900- 5 1.80000+ 1 4.10000+ 1 5.35078- 3 1.07740- 4 1.80000+ 1 4.30000+ 1 2.90719- 3 1.18810- 4 1.80000+ 1 4.40000+ 1 3.97260- 3 1.22210- 4 1.90000+ 1 2.40000+ 1 3.97324- 2 6.17600- 5 1.90000+ 1 2.50000+ 1 6.45104- 2 6.84900- 5 1.90000+ 1 2.70000+ 1 4.08392- 2 8.34200- 5 1.90000+ 1 2.90000+ 1 4.82372- 2 1.30910- 4 1.90000+ 1 3.00000+ 1 4.78183- 2 1.61870- 4 1.90000+ 1 3.20000+ 1 4.09660- 2 2.30490- 4 1.90000+ 1 3.30000+ 1 5.03812- 2 2.34630- 4 1.90000+ 1 4.10000+ 1 5.89576- 3 2.56680- 4 1.90000+ 1 4.30000+ 1 3.99442- 3 2.67750- 4 1.90000+ 1 4.40000+ 1 3.54189- 3 2.71150- 4 2.10000+ 1 2.20000+ 1 2.82615- 3 0.00000+ 0 2.10000+ 1 2.40000+ 1 4.39926- 3 2.76390- 4 2.10000+ 1 2.50000+ 1 6.85059- 3 2.83120- 4 2.10000+ 1 2.70000+ 1 1.77730- 2 2.98050- 4 2.10000+ 1 2.90000+ 1 5.74342- 3 3.45540- 4 2.10000+ 1 3.00000+ 1 7.44464- 3 3.76500- 4 2.10000+ 1 3.20000+ 1 1.98057- 3 4.45120- 4 2.10000+ 1 3.30000+ 1 2.19473- 3 4.49260- 4 2.10000+ 1 4.10000+ 1 1.94684- 3 4.71310- 4 2.10000+ 1 4.30000+ 1 4.83909- 4 4.82380- 4 2.10000+ 1 4.40000+ 1 4.68412- 4 4.85780- 4 2.20000+ 1 2.20000+ 1 4.45303- 3 2.28400- 5 2.20000+ 1 2.40000+ 1 7.51047- 3 3.04190- 4 2.20000+ 1 2.50000+ 1 8.00056- 3 3.10920- 4 2.20000+ 1 2.70000+ 1 2.37156- 2 3.25850- 4 2.20000+ 1 2.90000+ 1 9.41897- 3 3.73340- 4 2.20000+ 1 3.00000+ 1 7.84229- 3 4.04300- 4 2.20000+ 1 3.20000+ 1 1.71969- 3 4.72920- 4 2.20000+ 1 3.30000+ 1 2.78373- 3 4.77060- 4 2.20000+ 1 4.10000+ 1 2.58674- 3 4.99110- 4 2.20000+ 1 4.30000+ 1 7.03411- 4 5.10180- 4 2.20000+ 1 4.40000+ 1 5.41836- 4 5.13580- 4 2.40000+ 1 2.40000+ 1 9.34221- 3 5.85540- 4 2.40000+ 1 2.50000+ 1 1.82742- 2 5.92270- 4 2.40000+ 1 2.70000+ 1 2.13451- 2 6.07200- 4 2.40000+ 1 2.90000+ 1 2.92920- 3 6.54690- 4 2.40000+ 1 3.00000+ 1 1.08556- 2 6.85650- 4 2.40000+ 1 3.20000+ 1 9.96030- 4 7.54270- 4 2.40000+ 1 3.30000+ 1 6.49731- 4 7.58410- 4 2.40000+ 1 4.10000+ 1 2.04824- 3 7.80460- 4 2.40000+ 1 4.30000+ 1 2.05005- 4 7.91530- 4 2.40000+ 1 4.40000+ 1 6.64076- 4 7.94930- 4 2.50000+ 1 2.50000+ 1 1.54597- 2 5.99000- 4 2.50000+ 1 2.70000+ 1 2.76605- 2 6.13930- 4 2.50000+ 1 2.90000+ 1 1.51973- 3 6.61420- 4 2.50000+ 1 3.00000+ 1 1.21020- 2 6.92380- 4 2.50000+ 1 3.20000+ 1 5.96351- 4 7.61000- 4 2.50000+ 1 3.30000+ 1 1.43948- 3 7.65140- 4 2.50000+ 1 4.10000+ 1 2.64579- 3 7.87190- 4 2.50000+ 1 4.30000+ 1 1.03919- 4 7.98260- 4 2.50000+ 1 4.40000+ 1 7.16893- 4 8.01660- 4 2.70000+ 1 2.70000+ 1 1.62487- 2 6.28860- 4 2.70000+ 1 2.90000+ 1 2.33083- 2 6.76350- 4 2.70000+ 1 3.00000+ 1 3.69768- 2 7.07310- 4 2.70000+ 1 3.20000+ 1 3.12734- 2 7.75930- 4 2.70000+ 1 3.30000+ 1 4.30496- 2 7.80070- 4 2.70000+ 1 4.10000+ 1 4.01123- 3 8.02120- 4 2.70000+ 1 4.30000+ 1 2.06534- 3 8.13190- 4 2.70000+ 1 4.40000+ 1 2.75521- 3 8.16590- 4 2.90000+ 1 2.90000+ 1 2.04675- 3 7.23840- 4 2.90000+ 1 3.00000+ 1 8.70811- 3 7.54800- 4 2.90000+ 1 3.20000+ 1 3.21168- 3 8.23420- 4 2.90000+ 1 3.30000+ 1 2.47391- 3 8.27560- 4 2.90000+ 1 4.10000+ 1 2.51501- 3 8.49610- 4 2.90000+ 1 4.30000+ 1 3.06096- 4 8.60680- 4 2.90000+ 1 4.40000+ 1 5.16253- 4 8.64080- 4 3.00000+ 1 3.00000+ 1 5.47171- 3 7.85760- 4 3.00000+ 1 3.20000+ 1 2.63491- 3 8.54380- 4 3.00000+ 1 3.30000+ 1 5.36294- 3 8.58520- 4 3.00000+ 1 4.10000+ 1 3.91644- 3 8.80570- 4 3.00000+ 1 4.30000+ 1 6.58160- 4 8.91640- 4 3.00000+ 1 4.40000+ 1 7.27669- 4 8.95040- 4 3.20000+ 1 3.20000+ 1 9.44652- 4 9.23000- 4 3.20000+ 1 3.30000+ 1 2.82266- 3 9.27140- 4 3.20000+ 1 4.10000+ 1 4.17441- 3 9.49190- 4 3.20000+ 1 4.30000+ 1 2.84230- 4 9.60260- 4 3.20000+ 1 4.40000+ 1 1.75568- 4 9.63660- 4 3.30000+ 1 3.30000+ 1 1.84032- 3 9.31280- 4 3.30000+ 1 4.10000+ 1 5.63293- 3 9.53330- 4 3.30000+ 1 4.30000+ 1 1.91406- 4 9.64400- 4 3.30000+ 1 4.40000+ 1 4.01970- 4 9.67800- 4 4.10000+ 1 4.10000+ 1 2.86950- 4 9.75380- 4 4.10000+ 1 4.30000+ 1 2.48530- 4 9.86450- 4 4.10000+ 1 4.40000+ 1 3.40752- 4 9.89850- 4 4.30000+ 1 4.30000+ 1 1.02483- 5 9.97520- 4 4.30000+ 1 4.40000+ 1 4.61182- 5 1.00092- 3 4.40000+ 1 4.40000+ 1 2.56208- 5 1.00432- 3 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 9.68383- 4 3.63570- 4 2.70000+ 1 2.23713- 4 6.94380- 4 3.20000+ 1 5.21165- 5 8.41450- 4 4.10000+ 1 3.61055- 5 8.67640- 4 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 1.22934- 2 1.60000- 7 1.90000+ 1 3.00000+ 1 2.56679- 2 3.11200- 5 1.90000+ 1 3.20000+ 1 8.40276- 3 9.97400- 5 1.90000+ 1 3.30000+ 1 1.31593- 2 1.03880- 4 1.90000+ 1 4.10000+ 1 1.92491- 3 1.25930- 4 1.90000+ 1 4.30000+ 1 1.35987- 3 1.37000- 4 1.90000+ 1 4.40000+ 1 1.28978- 3 1.40400- 4 2.10000+ 1 2.40000+ 1 1.22438- 1 1.45640- 4 2.10000+ 1 2.50000+ 1 2.76613- 1 1.52370- 4 2.10000+ 1 2.70000+ 1 3.83002- 2 1.67300- 4 2.10000+ 1 2.90000+ 1 3.04544- 2 2.14790- 4 2.10000+ 1 3.00000+ 1 4.16835- 2 2.45750- 4 2.10000+ 1 3.20000+ 1 2.15259- 2 3.14370- 4 2.10000+ 1 3.30000+ 1 3.41014- 2 3.18510- 4 2.10000+ 1 4.10000+ 1 5.63369- 3 3.40560- 4 2.10000+ 1 4.30000+ 1 2.52628- 3 3.51630- 4 2.10000+ 1 4.40000+ 1 3.06596- 3 3.55030- 4 2.20000+ 1 2.40000+ 1 4.25083- 2 1.73440- 4 2.20000+ 1 2.50000+ 1 1.08989- 2 1.80170- 4 2.20000+ 1 2.70000+ 1 6.04332- 3 1.95100- 4 2.20000+ 1 2.90000+ 1 2.51246- 2 2.42590- 4 2.20000+ 1 3.00000+ 1 5.36657- 3 2.73550- 4 2.20000+ 1 3.20000+ 1 2.40509- 3 3.42170- 4 2.20000+ 1 3.30000+ 1 2.38267- 3 3.46310- 4 2.20000+ 1 4.10000+ 1 6.80026- 4 3.68360- 4 2.20000+ 1 4.30000+ 1 1.56640- 3 3.79430- 4 2.20000+ 1 4.40000+ 1 3.26578- 4 3.82830- 4 2.40000+ 1 2.40000+ 1 2.45606- 3 4.54790- 4 2.40000+ 1 2.50000+ 1 1.50315- 2 4.61520- 4 2.40000+ 1 2.70000+ 1 4.81307- 3 4.76450- 4 2.40000+ 1 2.90000+ 1 2.01149- 2 5.23940- 4 2.40000+ 1 3.00000+ 1 3.37038- 3 5.54900- 4 2.40000+ 1 3.20000+ 1 5.22103- 3 6.23520- 4 2.40000+ 1 3.30000+ 1 3.09196- 3 6.27660- 4 2.40000+ 1 4.10000+ 1 7.14480- 4 6.49710- 4 2.40000+ 1 4.30000+ 1 1.26483- 3 6.60780- 4 2.40000+ 1 4.40000+ 1 2.26030- 4 6.64180- 4 2.50000+ 1 2.50000+ 1 6.98301- 4 4.68250- 4 2.50000+ 1 2.70000+ 1 2.84919- 3 4.83180- 4 2.50000+ 1 2.90000+ 1 3.28524- 2 5.30670- 4 2.50000+ 1 3.00000+ 1 1.93237- 3 5.61630- 4 2.50000+ 1 3.20000+ 1 1.10439- 2 6.30250- 4 2.50000+ 1 3.30000+ 1 9.84196- 4 6.34390- 4 2.50000+ 1 4.10000+ 1 3.26862- 4 6.56440- 4 2.50000+ 1 4.30000+ 1 2.00930- 3 6.67510- 4 2.50000+ 1 4.40000+ 1 1.22947- 4 6.70910- 4 2.70000+ 1 2.70000+ 1 1.04631- 3 4.98110- 4 2.70000+ 1 2.90000+ 1 1.41631- 2 5.45600- 4 2.70000+ 1 3.00000+ 1 2.64657- 3 5.76560- 4 2.70000+ 1 3.20000+ 1 3.15289- 3 6.45180- 4 2.70000+ 1 3.30000+ 1 2.22828- 3 6.49320- 4 2.70000+ 1 4.10000+ 1 2.43334- 4 6.71370- 4 2.70000+ 1 4.30000+ 1 8.58597- 4 6.82440- 4 2.70000+ 1 4.40000+ 1 1.80769- 4 6.85840- 4 2.90000+ 1 2.90000+ 1 1.27163- 2 5.93090- 4 2.90000+ 1 3.00000+ 1 3.34871- 2 6.24050- 4 2.90000+ 1 3.20000+ 1 2.31330- 2 6.92670- 4 2.90000+ 1 3.30000+ 1 3.84660- 2 6.96810- 4 2.90000+ 1 4.10000+ 1 2.93003- 3 7.18860- 4 2.90000+ 1 4.30000+ 1 1.92893- 3 7.29930- 4 2.90000+ 1 4.40000+ 1 2.52321- 3 7.33330- 4 3.00000+ 1 3.00000+ 1 1.14551- 3 6.55010- 4 3.00000+ 1 3.20000+ 1 4.31057- 3 7.23630- 4 3.00000+ 1 3.30000+ 1 1.77993- 3 7.27770- 4 3.00000+ 1 4.10000+ 1 3.57153- 4 7.49820- 4 3.00000+ 1 4.30000+ 1 1.89609- 3 7.60890- 4 3.00000+ 1 4.40000+ 1 1.48095- 4 7.64290- 4 3.20000+ 1 3.20000+ 1 4.44239- 4 7.92250- 4 3.20000+ 1 3.30000+ 1 7.49023- 4 7.96390- 4 3.20000+ 1 4.10000+ 1 1.69447- 4 8.18440- 4 3.20000+ 1 4.30000+ 1 4.12385- 4 8.29510- 4 3.20000+ 1 4.40000+ 1 9.77177- 5 8.32910- 4 3.30000+ 1 3.30000+ 1 7.40290- 5 8.00530- 4 3.30000+ 1 4.10000+ 1 5.50991- 5 8.22580- 4 3.30000+ 1 4.30000+ 1 4.28068- 4 8.33650- 4 3.30000+ 1 4.40000+ 1 2.17559- 5 8.37050- 4 4.10000+ 1 4.10000+ 1 2.92042- 6 8.44630- 4 4.10000+ 1 4.30000+ 1 2.72568- 5 8.55700- 4 4.10000+ 1 4.40000+ 1 4.13717- 6 8.59100- 4 4.30000+ 1 4.30000+ 1 6.51325- 6 8.66770- 4 4.30000+ 1 4.40000+ 1 1.82376- 5 8.70170- 4 4.40000+ 1 4.40000+ 1 4.70558- 7 8.73570- 4 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.50814- 5 2.14630- 4 2.20000+ 1 2.02418- 4 2.42430- 4 2.70000+ 1 2.11198- 4 5.45440- 4 3.20000+ 1 1.65832- 5 6.92510- 4 3.30000+ 1 9.79035- 5 6.96650- 4 4.10000+ 1 3.32330- 5 7.18700- 4 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.40000+ 1 4.88706- 3 0.00000+ 0 2.10000+ 1 2.50000+ 1 1.51632- 3 3.43000- 6 2.10000+ 1 2.70000+ 1 1.90197- 2 1.83600- 5 2.10000+ 1 2.90000+ 1 1.38995- 2 6.58500- 5 2.10000+ 1 3.00000+ 1 4.21313- 2 9.68100- 5 2.10000+ 1 3.20000+ 1 1.22397- 2 1.65430- 4 2.10000+ 1 3.30000+ 1 2.02138- 2 1.69570- 4 2.10000+ 1 4.10000+ 1 2.32572- 3 1.91620- 4 2.10000+ 1 4.30000+ 1 1.12723- 3 2.02690- 4 2.10000+ 1 4.40000+ 1 2.59795- 3 2.06090- 4 2.20000+ 1 2.40000+ 1 1.46308- 2 2.45000- 5 2.20000+ 1 2.50000+ 1 3.49200- 2 3.12300- 5 2.20000+ 1 2.70000+ 1 9.77503- 2 4.61600- 5 2.20000+ 1 2.90000+ 1 1.06224- 1 9.36500- 5 2.20000+ 1 3.00000+ 1 1.28516- 1 1.24610- 4 2.20000+ 1 3.20000+ 1 1.00385- 1 1.93230- 4 2.20000+ 1 3.30000+ 1 1.18617- 1 1.97370- 4 2.20000+ 1 4.10000+ 1 1.46732- 2 2.19420- 4 2.20000+ 1 4.30000+ 1 8.92027- 3 2.30490- 4 2.20000+ 1 4.40000+ 1 8.79382- 3 2.33890- 4 2.40000+ 1 2.40000+ 1 8.03854- 4 3.05850- 4 2.40000+ 1 2.50000+ 1 1.09713- 2 3.12580- 4 2.40000+ 1 2.70000+ 1 7.71721- 3 3.27510- 4 2.40000+ 1 2.90000+ 1 4.11214- 3 3.75000- 4 2.40000+ 1 3.00000+ 1 5.04467- 2 4.05960- 4 2.40000+ 1 3.20000+ 1 1.60430- 3 4.74580- 4 2.40000+ 1 3.30000+ 1 6.90623- 3 4.78720- 4 2.40000+ 1 4.10000+ 1 7.63058- 4 5.00770- 4 2.40000+ 1 4.30000+ 1 3.13910- 4 5.11840- 4 2.40000+ 1 4.40000+ 1 2.70698- 3 5.15240- 4 2.50000+ 1 2.50000+ 1 5.73876- 3 3.19310- 4 2.50000+ 1 2.70000+ 1 1.74326- 2 3.34240- 4 2.50000+ 1 2.90000+ 1 1.47588- 2 3.81730- 4 2.50000+ 1 3.00000+ 1 6.18915- 2 4.12690- 4 2.50000+ 1 3.20000+ 1 1.36171- 3 4.81310- 4 2.50000+ 1 3.30000+ 1 9.39604- 3 4.85450- 4 2.50000+ 1 4.10000+ 1 2.04338- 3 5.07500- 4 2.50000+ 1 4.30000+ 1 1.15964- 3 5.18570- 4 2.50000+ 1 4.40000+ 1 3.35572- 3 5.21970- 4 2.70000+ 1 2.70000+ 1 7.30696- 7 3.49170- 4 2.70000+ 1 2.90000+ 1 2.36020- 4 3.96660- 4 2.70000+ 1 3.00000+ 1 5.12112- 3 4.27620- 4 2.70000+ 1 3.20000+ 1 4.42804- 4 4.96240- 4 2.70000+ 1 3.30000+ 1 7.83680- 4 5.00380- 4 2.70000+ 1 4.10000+ 1 3.28816- 6 5.22430- 4 2.70000+ 1 4.30000+ 1 1.42495- 5 5.33500- 4 2.70000+ 1 4.40000+ 1 2.70001- 4 5.36900- 4 2.90000+ 1 2.90000+ 1 4.51050- 6 4.44150- 4 2.90000+ 1 3.00000+ 1 5.32582- 3 4.75110- 4 2.90000+ 1 3.20000+ 1 2.24140- 4 5.43730- 4 2.90000+ 1 3.30000+ 1 6.90456- 4 5.47870- 4 2.90000+ 1 4.10000+ 1 2.98385- 5 5.69920- 4 2.90000+ 1 4.30000+ 1 1.38784- 6 5.80990- 4 2.90000+ 1 4.40000+ 1 2.86250- 4 5.84390- 4 3.00000+ 1 3.00000+ 1 7.25731- 3 5.06070- 4 3.00000+ 1 3.20000+ 1 7.39874- 3 5.74690- 4 3.00000+ 1 3.30000+ 1 9.81987- 3 5.78830- 4 3.00000+ 1 4.10000+ 1 7.90117- 4 6.00880- 4 3.00000+ 1 4.30000+ 1 4.96439- 4 6.11950- 4 3.00000+ 1 4.40000+ 1 9.32122- 4 6.15350- 4 3.20000+ 1 3.20000+ 1 1.10852- 4 6.43310- 4 3.20000+ 1 3.30000+ 1 6.68659- 4 6.47450- 4 3.20000+ 1 4.10000+ 1 3.90200- 5 6.69500- 4 3.20000+ 1 4.30000+ 1 1.53721- 5 6.80570- 4 3.20000+ 1 4.40000+ 1 3.17480- 4 6.83970- 4 3.30000+ 1 3.30000+ 1 6.27826- 4 6.51590- 4 3.30000+ 1 4.10000+ 1 9.07446- 5 6.73640- 4 3.30000+ 1 4.30000+ 1 4.81793- 5 6.84710- 4 3.30000+ 1 4.40000+ 1 4.26532- 4 6.88110- 4 4.10000+ 1 4.30000+ 1 1.47793- 6 7.06760- 4 4.10000+ 1 4.40000+ 1 3.31066- 5 7.10160- 4 4.30000+ 1 4.40000+ 1 2.12827- 5 7.21230- 4 4.40000+ 1 4.40000+ 1 2.15777- 5 7.24630- 4 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 3.21329- 4 3.09150- 4 2.90000+ 1 8.09398- 5 3.78300- 4 3.00000+ 1 1.01430- 5 4.09260- 4 4.30000+ 1 6.64378- 6 5.15140- 4 4.40000+ 1 7.13448- 7 5.18540- 4 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 4.10000+ 1 1.38834- 3 4.79000- 6 2.20000+ 1 4.30000+ 1 4.70875- 4 1.58600- 5 2.20000+ 1 4.40000+ 1 1.03188- 3 1.92600- 5 2.40000+ 1 2.40000+ 1 8.12992- 2 9.12200- 5 2.40000+ 1 2.50000+ 1 2.68258- 1 9.79500- 5 2.40000+ 1 2.70000+ 1 8.42669- 2 1.12880- 4 2.40000+ 1 2.90000+ 1 7.15995- 2 1.60370- 4 2.40000+ 1 3.00000+ 1 9.41356- 2 1.91330- 4 2.40000+ 1 3.20000+ 1 8.85064- 2 2.59950- 4 2.40000+ 1 3.30000+ 1 9.09061- 2 2.64090- 4 2.40000+ 1 4.10000+ 1 1.24525- 2 2.86140- 4 2.40000+ 1 4.30000+ 1 6.20316- 3 2.97210- 4 2.40000+ 1 4.40000+ 1 6.82089- 3 3.00610- 4 2.50000+ 1 2.50000+ 1 4.37070- 3 1.04680- 4 2.50000+ 1 2.70000+ 1 7.19006- 3 1.19610- 4 2.50000+ 1 2.90000+ 1 1.37237- 2 1.67100- 4 2.50000+ 1 3.00000+ 1 6.22813- 3 1.98060- 4 2.50000+ 1 3.20000+ 1 9.82481- 2 2.66680- 4 2.50000+ 1 3.30000+ 1 4.02423- 3 2.70820- 4 2.50000+ 1 4.10000+ 1 7.89818- 4 2.92870- 4 2.50000+ 1 4.30000+ 1 8.22925- 4 3.03940- 4 2.50000+ 1 4.40000+ 1 3.71926- 4 3.07340- 4 2.70000+ 1 2.70000+ 1 7.96785- 4 1.34540- 4 2.70000+ 1 2.90000+ 1 1.79739- 3 1.82030- 4 2.70000+ 1 3.00000+ 1 1.55561- 3 2.12990- 4 2.70000+ 1 3.20000+ 1 8.73085- 3 2.81610- 4 2.70000+ 1 3.30000+ 1 2.13545- 3 2.85750- 4 2.70000+ 1 4.10000+ 1 1.35004- 4 3.07800- 4 2.70000+ 1 4.30000+ 1 1.05208- 4 3.18870- 4 2.70000+ 1 4.40000+ 1 8.86554- 5 3.22270- 4 2.90000+ 1 2.90000+ 1 3.24453- 4 2.29520- 4 2.90000+ 1 3.00000+ 1 1.88090- 3 2.60480- 4 2.90000+ 1 3.20000+ 1 5.34700- 3 3.29100- 4 2.90000+ 1 3.30000+ 1 7.55234- 4 3.33240- 4 2.90000+ 1 4.10000+ 1 9.71151- 5 3.55290- 4 2.90000+ 1 4.30000+ 1 3.93605- 5 3.66360- 4 2.90000+ 1 4.40000+ 1 8.90240- 5 3.69760- 4 3.00000+ 1 3.00000+ 1 7.24705- 4 2.91440- 4 3.00000+ 1 3.20000+ 1 1.08551- 2 3.60060- 4 3.00000+ 1 3.30000+ 1 9.47646- 4 3.64200- 4 3.00000+ 1 4.10000+ 1 5.95947- 5 3.86250- 4 3.00000+ 1 4.30000+ 1 8.53464- 5 3.97320- 4 3.00000+ 1 4.40000+ 1 6.65852- 5 4.00720- 4 3.20000+ 1 3.20000+ 1 5.86216- 3 4.28680- 4 3.20000+ 1 3.30000+ 1 1.14406- 2 4.32820- 4 3.20000+ 1 4.10000+ 1 9.50178- 4 4.54870- 4 3.20000+ 1 4.30000+ 1 4.62041- 4 4.65940- 4 3.20000+ 1 4.40000+ 1 7.78020- 4 4.69340- 4 3.30000+ 1 3.30000+ 1 2.13717- 4 4.36960- 4 3.30000+ 1 4.10000+ 1 5.18683- 5 4.59010- 4 3.30000+ 1 4.30000+ 1 2.86928- 5 4.70080- 4 3.30000+ 1 4.40000+ 1 5.00305- 5 4.73480- 4 4.10000+ 1 4.10000+ 1 3.31087- 6 4.81060- 4 4.10000+ 1 4.30000+ 1 4.78223- 6 4.92130- 4 4.10000+ 1 4.40000+ 1 3.31087- 6 4.95530- 4 4.30000+ 1 4.30000+ 1 3.67866- 7 5.03200- 4 4.30000+ 1 4.40000+ 1 4.04652- 6 5.06600- 4 4.40000+ 1 4.40000+ 1 1.47140- 6 5.10000- 4 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.30970- 5 2.81350- 4 2.50000+ 1 2.86550- 4 2.88080- 4 3.00000+ 1 7.17951- 5 3.81460- 4 4.40000+ 1 5.09341- 6 4.90740- 4 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 4.28513- 3 6.34200- 5 2.40000+ 1 2.50000+ 1 1.14450- 1 7.01500- 5 2.40000+ 1 2.70000+ 1 1.10221- 2 8.50800- 5 2.40000+ 1 2.90000+ 1 7.14099- 3 1.32570- 4 2.40000+ 1 3.00000+ 1 1.42868- 2 1.63530- 4 2.40000+ 1 3.20000+ 1 5.63892- 3 2.32150- 4 2.40000+ 1 3.30000+ 1 8.77965- 2 2.36290- 4 2.40000+ 1 4.10000+ 1 1.37299- 3 2.58340- 4 2.40000+ 1 4.30000+ 1 5.83580- 4 2.69410- 4 2.40000+ 1 4.40000+ 1 8.72915- 4 2.72810- 4 2.50000+ 1 2.50000+ 1 1.12407- 1 7.68800- 5 2.50000+ 1 2.70000+ 1 9.49684- 2 9.18100- 5 2.50000+ 1 2.90000+ 1 1.00349- 1 1.39300- 4 2.50000+ 1 3.00000+ 1 9.74281- 2 1.70260- 4 2.50000+ 1 3.20000+ 1 8.60554- 2 2.38880- 4 2.50000+ 1 3.30000+ 1 1.60342- 1 2.43020- 4 2.50000+ 1 4.10000+ 1 1.40724- 2 2.65070- 4 2.50000+ 1 4.30000+ 1 8.33656- 3 2.76140- 4 2.50000+ 1 4.40000+ 1 7.10110- 3 2.79540- 4 2.70000+ 1 2.70000+ 1 1.42634- 3 1.06740- 4 2.70000+ 1 2.90000+ 1 1.84029- 3 1.54230- 4 2.70000+ 1 3.00000+ 1 3.38691- 3 1.85190- 4 2.70000+ 1 3.20000+ 1 2.83587- 3 2.53810- 4 2.70000+ 1 3.30000+ 1 1.16837- 2 2.57950- 4 2.70000+ 1 4.10000+ 1 2.37982- 4 2.80000- 4 2.70000+ 1 4.30000+ 1 1.11657- 4 2.91070- 4 2.70000+ 1 4.40000+ 1 1.90308- 4 2.94470- 4 2.90000+ 1 2.90000+ 1 2.21688- 4 2.01720- 4 2.90000+ 1 3.00000+ 1 3.27173- 3 2.32680- 4 2.90000+ 1 3.20000+ 1 3.94053- 4 3.01300- 4 2.90000+ 1 3.30000+ 1 8.37259- 3 3.05440- 4 2.90000+ 1 4.10000+ 1 9.57632- 5 3.27490- 4 2.90000+ 1 4.30000+ 1 2.52653- 5 3.38560- 4 2.90000+ 1 4.40000+ 1 1.58927- 4 3.41960- 4 3.00000+ 1 3.00000+ 1 1.08687- 3 2.63640- 4 3.00000+ 1 3.20000+ 1 1.39163- 3 3.32260- 4 3.00000+ 1 3.30000+ 1 1.11606- 2 3.36400- 4 3.00000+ 1 4.10000+ 1 1.08397- 4 3.58450- 4 3.00000+ 1 4.30000+ 1 1.13286- 4 3.69520- 4 3.00000+ 1 4.40000+ 1 1.00248- 4 3.72920- 4 3.20000+ 1 3.20000+ 1 1.05549- 4 4.00880- 4 3.20000+ 1 3.30000+ 1 9.52079- 3 4.05020- 4 3.20000+ 1 4.10000+ 1 6.47951- 5 4.27070- 4 3.20000+ 1 4.30000+ 1 2.32285- 5 4.38140- 4 3.20000+ 1 4.40000+ 1 7.33532- 5 4.41540- 4 3.30000+ 1 3.30000+ 1 1.04979- 2 4.09160- 4 3.30000+ 1 4.10000+ 1 1.09989- 3 4.31210- 4 3.30000+ 1 4.30000+ 1 6.71998- 4 4.42280- 4 3.30000+ 1 4.40000+ 1 8.14223- 4 4.45680- 4 4.10000+ 1 4.10000+ 1 6.11280- 6 4.53260- 4 4.10000+ 1 4.30000+ 1 5.29788- 6 4.64330- 4 4.10000+ 1 4.40000+ 1 6.52035- 6 4.67730- 4 4.30000+ 1 4.30000+ 1 4.07526- 7 4.75400- 4 4.30000+ 1 4.40000+ 1 5.70518- 6 4.78800- 4 4.40000+ 1 4.40000+ 1 2.44500- 6 4.82200- 4 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.39320- 5 1.68730- 4 3.30000+ 1 9.18612- 7 1.72870- 4 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 4.30000+ 1 3.82822- 3 9.72000- 6 2.70000+ 1 4.40000+ 1 7.41781- 3 1.31200- 5 2.90000+ 1 3.20000+ 1 1.12936- 1 1.99500- 5 2.90000+ 1 3.30000+ 1 7.31755- 2 2.40900- 5 2.90000+ 1 4.10000+ 1 2.93533- 2 4.61400- 5 2.90000+ 1 4.30000+ 1 8.72020- 3 5.72100- 5 2.90000+ 1 4.40000+ 1 1.00059- 2 6.06100- 5 3.00000+ 1 3.20000+ 1 1.33861- 1 5.09100- 5 3.00000+ 1 3.30000+ 1 5.46418- 2 5.50500- 5 3.00000+ 1 4.10000+ 1 1.17863- 2 7.71000- 5 3.00000+ 1 4.30000+ 1 1.01024- 2 8.81700- 5 3.00000+ 1 4.40000+ 1 4.82885- 3 9.15700- 5 3.20000+ 1 3.20000+ 1 1.83863- 1 1.19530- 4 3.20000+ 1 3.30000+ 1 2.61333- 1 1.23670- 4 3.20000+ 1 4.10000+ 1 1.25484- 2 1.45720- 4 3.20000+ 1 4.30000+ 1 2.04903- 2 1.56790- 4 3.20000+ 1 4.40000+ 1 1.42163- 2 1.60190- 4 3.30000+ 1 3.30000+ 1 2.27550- 2 1.27810- 4 3.30000+ 1 4.10000+ 1 2.66869- 3 1.49860- 4 3.30000+ 1 4.30000+ 1 1.44485- 2 1.60930- 4 3.30000+ 1 4.40000+ 1 5.36892- 3 1.64330- 4 4.10000+ 1 4.10000+ 1 3.17672- 5 1.71910- 4 4.10000+ 1 4.30000+ 1 6.35344- 4 1.82980- 4 4.10000+ 1 4.40000+ 1 4.12991- 4 1.86380- 4 4.30000+ 1 4.30000+ 1 1.27075- 4 1.94050- 4 4.30000+ 1 4.40000+ 1 3.65336- 4 1.97450- 4 4.40000+ 1 4.40000+ 1 6.35341- 5 2.00850- 4 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 1.34241- 5 1.66140- 4 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 2.53513- 2 1.32200- 5 2.90000+ 1 3.30000+ 1 7.91907- 2 1.73600- 5 2.90000+ 1 4.10000+ 1 2.59925- 3 3.94100- 5 2.90000+ 1 4.30000+ 1 4.55715- 4 5.04800- 5 2.90000+ 1 4.40000+ 1 5.92425- 3 5.38800- 5 3.00000+ 1 3.20000+ 1 7.52283- 2 4.41800- 5 3.00000+ 1 3.30000+ 1 2.21331- 1 4.83200- 5 3.00000+ 1 4.10000+ 1 2.91827- 2 7.03700- 5 3.00000+ 1 4.30000+ 1 6.56580- 3 8.14400- 5 3.00000+ 1 4.40000+ 1 2.09458- 2 8.48400- 5 3.20000+ 1 3.20000+ 1 1.32330- 2 1.12800- 4 3.20000+ 1 3.30000+ 1 2.03335- 1 1.16940- 4 3.20000+ 1 4.10000+ 1 2.14357- 3 1.38990- 4 3.20000+ 1 4.30000+ 1 1.50213- 3 1.50060- 4 3.20000+ 1 4.40000+ 1 1.18486- 2 1.53460- 4 3.30000+ 1 3.30000+ 1 2.46716- 1 1.21080- 4 3.30000+ 1 4.10000+ 1 1.42112- 2 1.43130- 4 3.30000+ 1 4.30000+ 1 9.45195- 3 1.54200- 4 3.30000+ 1 4.40000+ 1 2.92336- 2 1.57600- 4 4.10000+ 1 4.10000+ 1 1.68792- 5 1.65180- 4 4.10000+ 1 4.30000+ 1 2.19425- 4 1.76250- 4 4.10000+ 1 4.40000+ 1 7.59557- 4 1.79650- 4 4.30000+ 1 4.30000+ 1 1.68786- 5 1.87320- 4 4.30000+ 1 4.40000+ 1 2.02544- 4 1.90720- 4 4.40000+ 1 4.40000+ 1 3.20693- 4 1.94120- 4 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.26394- 6 4.74900- 5 3.00000+ 1 1.17251- 5 7.84500- 5 4.30000+ 1 6.46238- 7 1.84330- 4 4.40000+ 1 1.80373- 8 1.87730- 4 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.20000+ 1 7.09456- 3 0.00000+ 0 2.90000+ 1 3.30000+ 1 8.38859- 2 2.43000- 6 2.90000+ 1 4.10000+ 1 1.10907- 2 2.44800- 5 2.90000+ 1 4.30000+ 1 4.27021- 3 3.55500- 5 2.90000+ 1 4.40000+ 1 8.66880- 3 3.89500- 5 3.00000+ 1 3.20000+ 1 3.57556- 1 2.92500- 5 3.00000+ 1 3.30000+ 1 3.08570- 1 3.33900- 5 3.00000+ 1 4.10000+ 1 1.77142- 2 5.54400- 5 3.00000+ 1 4.30000+ 1 1.20494- 2 6.65100- 5 3.00000+ 1 4.40000+ 1 1.10815- 2 6.99100- 5 3.20000+ 1 3.20000+ 1 2.23470- 3 9.78700- 5 3.20000+ 1 3.30000+ 1 1.23070- 1 1.02010- 4 3.20000+ 1 4.10000+ 1 8.04814- 3 1.24060- 4 3.20000+ 1 4.30000+ 1 7.04163- 4 1.35130- 4 3.20000+ 1 4.40000+ 1 4.90273- 3 1.38530- 4 3.30000+ 1 3.30000+ 1 1.98547- 2 1.06150- 4 3.30000+ 1 4.10000+ 1 6.90701- 3 1.28200- 4 3.30000+ 1 4.30000+ 1 2.03034- 3 1.39270- 4 3.30000+ 1 4.40000+ 1 1.91599- 3 1.42670- 4 4.10000+ 1 4.10000+ 1 1.31052- 3 1.50250- 4 4.10000+ 1 4.30000+ 1 1.06216- 3 1.61320- 4 4.10000+ 1 4.40000+ 1 1.50212- 3 1.64720- 4 4.30000+ 1 4.30000+ 1 3.08261- 4 1.72390- 4 4.30000+ 1 4.40000+ 1 2.43814- 3 1.75790- 4 4.40000+ 1 4.40000+ 1 1.71590- 3 1.79190- 4 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.04090- 5 9.95800- 5 4.10000+ 1 1.02070- 6 1.25770- 4 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 4.10000+ 1 1.60869- 2 7.95000- 6 3.00000+ 1 4.30000+ 1 1.96552- 2 1.90200- 5 3.00000+ 1 4.40000+ 1 1.37410- 2 2.24200- 5 3.20000+ 1 3.20000+ 1 1.54039- 1 5.03800- 5 3.20000+ 1 3.30000+ 1 6.69298- 1 5.45200- 5 3.20000+ 1 4.10000+ 1 3.55014- 2 7.65700- 5 3.20000+ 1 4.30000+ 1 1.71218- 2 8.76400- 5 3.20000+ 1 4.40000+ 1 2.69820- 2 9.10400- 5 3.30000+ 1 3.30000+ 1 2.46265- 2 5.86600- 5 3.30000+ 1 4.10000+ 1 2.56303- 3 8.07100- 5 3.30000+ 1 4.30000+ 1 1.43991- 2 9.17800- 5 3.30000+ 1 4.40000+ 1 3.21846- 3 9.51800- 5 4.10000+ 1 4.10000+ 1 3.61018- 5 1.02760- 4 4.10000+ 1 4.30000+ 1 1.16169- 3 1.13830- 4 4.10000+ 1 4.40000+ 1 1.65213- 4 1.17230- 4 4.30000+ 1 4.30000+ 1 3.67468- 4 1.24900- 4 4.30000+ 1 4.40000+ 1 9.86835- 4 1.28300- 4 4.40000+ 1 4.40000+ 1 3.85501- 5 1.31700- 4 1 85000 0 7 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.70330- 7 6.86200- 5 3.30000+ 1 1.83250- 6 7.27600- 5 4.10000+ 1 4.44741- 7 9.48100- 5 1 85000 0 9 2.10000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 2.48229- 2 1.94200- 5 3.20000+ 1 3.30000+ 1 5.32732- 1 2.35600- 5 3.20000+ 1 4.10000+ 1 6.34982- 3 4.56100- 5 3.20000+ 1 4.30000+ 1 2.40404- 3 5.66800- 5 3.20000+ 1 4.40000+ 1 7.45266- 3 6.00800- 5 3.30000+ 1 3.30000+ 1 3.52778- 1 2.77000- 5 3.30000+ 1 4.10000+ 1 2.99094- 2 4.97500- 5 3.30000+ 1 4.30000+ 1 1.94669- 2 6.08200- 5 3.30000+ 1 4.40000+ 1 2.20466- 2 6.42200- 5 4.10000+ 1 4.10000+ 1 1.60383- 4 7.18000- 5 4.10000+ 1 4.30000+ 1 2.06631- 4 8.28700- 5 4.10000+ 1 4.40000+ 1 8.25088- 4 8.62700- 5 4.30000+ 1 4.30000+ 1 1.44091- 7 9.39400- 5 4.30000+ 1 4.40000+ 1 4.31837- 4 9.73400- 5 4.40000+ 1 4.40000+ 1 4.11811- 4 1.00740- 4 1 86000 0 0 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 1 86000 0 0 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.87640- 2 3.00000+ 0 1.80420- 2 5.00000+ 0 1.73960- 2 6.00000+ 0 1.46190- 2 8.00000+ 0 4.44770- 3 1.00000+ 1 4.14760- 3 1.10000+ 1 3.51790- 3 1.30000+ 1 3.02160- 3 1.40000+ 1 2.88930- 3 1.60000+ 1 1.07270- 3 1.80000+ 1 9.38510- 4 1.90000+ 1 7.79390- 4 2.10000+ 1 5.59500- 4 2.20000+ 1 5.29820- 4 2.40000+ 1 2.41160- 4 2.50000+ 1 2.33870- 4 2.70000+ 1 2.11690- 4 2.90000+ 1 1.62290- 4 3.00000+ 1 1.28370- 4 3.20000+ 1 5.64900- 5 3.30000+ 1 5.18400- 5 4.10000+ 1 2.57200- 5 4.30000+ 1 1.36900- 5 4.40000+ 1 9.64000- 6 1 86000 0 0 2.22000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.42710- 1 3.00000+ 0 3.49080- 2 5.00000+ 0 3.48980- 2 6.00000+ 0 2.37970- 2 8.00000+ 0 1.11780- 2 1.00000+ 1 1.10500- 2 1.10000+ 1 8.26640- 3 1.30000+ 1 8.11110- 3 1.40000+ 1 7.55530- 3 1.60000+ 1 3.77260- 3 1.80000+ 1 3.62970- 3 1.90000+ 1 2.78150- 3 2.10000+ 1 2.55020- 3 2.20000+ 1 2.38480- 3 2.40000+ 1 2.01990- 3 2.50000+ 1 1.96420- 3 2.70000+ 1 1.08060- 3 2.90000+ 1 9.67880- 4 3.00000+ 1 7.38600- 4 3.20000+ 1 5.37840- 4 3.30000+ 1 4.98630- 4 4.10000+ 1 2.11630- 4 4.30000+ 1 1.48930- 4 4.40000+ 1 1.00710- 4 1 86000 0 0 2.22000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.95100-11 3.00000+ 0 3.30050-10 5.00000+ 0 2.69040-10 6.00000+ 0 3.18850-10 8.00000+ 0 8.56890-10 1.00000+ 1 8.07070-10 1.10000+ 1 8.97050-10 1.30000+ 1 7.75790-10 1.40000+ 1 8.02820-10 1.60000+ 1 1.87600- 9 1.80000+ 1 1.87210- 9 1.90000+ 1 2.05630- 9 2.10000+ 1 2.05550- 9 2.20000+ 1 2.11230- 9 2.40000+ 1 2.10300- 9 2.50000+ 1 2.13240- 9 2.70000+ 1 4.02760- 9 2.90000+ 1 4.23230- 9 3.00000+ 1 4.66870- 9 3.20000+ 1 5.45260- 9 3.30000+ 1 5.62630- 9 4.10000+ 1 9.57670- 9 4.30000+ 1 1.12990- 8 4.40000+ 1 1.31530- 8 1 86000 0 0 2.22000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.96140- 5 3.00000+ 0 1.72480- 6 5.00000+ 0 3.03650- 6 6.00000+ 0 2.59440- 6 8.00000+ 0 7.16410- 8 1.00000+ 1 7.96010- 8 1.10000+ 1 8.73300- 8 1.30000+ 1 1.11520- 7 1.40000+ 1 1.03590- 7 1.60000+ 1 3.25040- 9 1.80000+ 1 4.46310- 9 1.90000+ 1 2.96030- 9 2.10000+ 1 2.41540- 9 2.20000+ 1 1.93240- 9 2.40000+ 1 5.19560-11 2.50000+ 1 4.74510-11 2.70000+ 1 1.96400-10 2.90000+ 1 4.08380-10 3.00000+ 1 2.13940-10 1 86000 0 0 2.22000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.35880- 6 3.00000+ 0 1.27730- 5 5.00000+ 0 3.62600- 6 6.00000+ 0 4.04690- 6 8.00000+ 0 1.96020- 5 1.00000+ 1 1.39700- 5 1.10000+ 1 1.10900- 5 1.30000+ 1 2.81100- 6 1.40000+ 1 2.77440- 6 1.60000+ 1 1.50720- 5 1.80000+ 1 1.46710- 5 1.90000+ 1 9.39260- 6 2.10000+ 1 7.20350- 6 2.20000+ 1 6.47800- 6 2.40000+ 1 1.57770- 7 2.50000+ 1 1.52640- 7 2.70000+ 1 2.39260- 5 2.90000+ 1 8.87160- 6 3.00000+ 1 1.98940- 5 1 86000 0 0 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 5.52726- 4 3.00000+ 0 7.93436- 4 5.00000+ 0 5.61840- 4 6.00000+ 0 5.57506- 4 8.00000+ 0 5.82931- 4 1.00000+ 1 5.07241- 4 1.10000+ 1 4.49766- 4 1.30000+ 1 3.44456- 4 1.40000+ 1 3.35500- 4 1.60000+ 1 3.10788- 4 1.80000+ 1 2.96452- 4 1.90000+ 1 2.78240- 4 2.10000+ 1 2.17993- 4 2.20000+ 1 2.09606- 4 2.40000+ 1 1.26339- 4 2.50000+ 1 1.25344- 4 2.70000+ 1 1.42525- 4 2.90000+ 1 1.04746- 4 3.00000+ 1 1.02587- 4 3.20000+ 1 5.64900- 5 3.30000+ 1 5.18400- 5 4.10000+ 1 2.57200- 5 4.30000+ 1 1.36900- 5 4.40000+ 1 9.64000- 6 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.37088+ 0 3.00000+ 0 4.95514- 1 5.00000+ 0 5.56215- 1 6.00000+ 0 4.53623- 1 8.00000+ 0 4.38031- 2 1.00000+ 1 4.37566- 2 1.10000+ 1 4.06586- 2 1.30000+ 1 4.71314- 2 1.40000+ 1 4.36665- 2 1.60000+ 1 1.46429- 3 1.80000+ 1 1.70226- 3 1.90000+ 1 9.45532- 4 2.10000+ 1 4.89428- 4 2.20000+ 1 4.35364- 4 2.40000+ 1 2.44708- 5 2.50000+ 1 2.09604- 5 2.70000+ 1 1.89825- 5 2.90000+ 1 1.45098- 5 3.00000+ 1 3.07637- 6 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.75516- 2 3.00000+ 0 5.61013- 3 5.00000+ 0 7.47068- 3 6.00000+ 0 4.95166- 3 8.00000+ 0 1.19263- 4 1.00000+ 1 1.19866- 4 1.10000+ 1 1.08416- 4 1.30000+ 1 1.27564- 4 1.40000+ 1 1.13752- 4 1.60000+ 1 7.56868- 7 1.80000+ 1 7.55651- 7 1.90000+ 1 4.05298- 7 2.10000+ 1 1.61374- 7 2.20000+ 1 1.34819- 7 2.40000+ 1 4.15676- 9 2.50000+ 1 3.56507- 9 2.70000+ 1 1.68784- 9 2.90000+ 1 1.57290- 9 3.00000+ 1 2.50613-10 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.00335+ 1 3.00000+ 0 1.48415+ 1 5.00000+ 0 1.02015+ 1 6.00000+ 0 1.01347+ 1 8.00000+ 0 1.06587+ 1 1.00000+ 1 9.12113+ 0 1.10000+ 1 7.99058+ 0 1.30000+ 1 5.85803+ 0 1.40000+ 1 5.70809+ 0 1.60000+ 1 5.20840+ 0 1.80000+ 1 4.90884+ 0 1.90000+ 1 4.55507+ 0 2.10000+ 1 3.33133+ 0 2.20000+ 1 3.19087+ 0 2.40000+ 1 1.51339+ 0 2.50000+ 1 1.52594+ 0 2.70000+ 1 1.82586+ 0 2.90000+ 1 1.04455+ 0 3.00000+ 1 9.99997- 1 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.06597- 2 3.00000+ 0 1.16384- 2 5.00000+ 0 9.36348- 3 6.00000+ 0 9.10983- 3 8.00000+ 0 3.74551- 3 1.00000+ 1 3.52049- 3 1.10000+ 1 2.95972- 3 1.30000+ 1 2.54958- 3 1.40000+ 1 2.44005- 3 1.60000+ 1 7.61155- 4 1.80000+ 1 6.41303- 4 1.90000+ 1 5.00745- 4 2.10000+ 1 3.41346- 4 2.20000+ 1 3.20080- 4 2.40000+ 1 1.14817- 4 2.50000+ 1 1.08522- 4 2.70000+ 1 6.91637- 5 2.90000+ 1 5.75428- 5 3.00000+ 1 2.57823- 5 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.84828- 1 8.13680- 2 6.00000+ 0 4.69587- 1 8.41450- 2 1.00000+ 1 5.31046- 2 9.46164- 2 1.10000+ 1 1.03169- 1 9.52461- 2 1.30000+ 1 1.60619- 3 9.57424- 2 1.40000+ 1 1.90129- 3 9.58747- 2 1.80000+ 1 1.29309- 2 9.78255- 2 1.90000+ 1 2.56678- 2 9.79846- 2 2.10000+ 1 4.46187- 4 9.82045- 2 2.20000+ 1 5.28136- 4 9.82342- 2 2.90000+ 1 3.05528- 3 9.86017- 2 3.00000+ 1 5.86666- 3 9.86356- 2 3.20000+ 1 7.38115- 5 9.87075- 2 3.30000+ 1 8.61674- 5 9.87122- 2 4.30000+ 1 3.51658- 4 9.87503- 2 4.40000+ 1 5.97606- 4 9.87544- 2 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.04888- 3 6.26800- 2 3.00000+ 0 5.00000+ 0 6.82253- 3 6.33260- 2 3.00000+ 0 6.00000+ 0 3.21917- 3 6.61030- 2 3.00000+ 0 8.00000+ 0 1.65057- 3 7.62743- 2 3.00000+ 0 1.00000+ 1 1.48211- 3 7.65744- 2 3.00000+ 0 1.10000+ 1 7.70725- 4 7.72041- 2 3.00000+ 0 1.30000+ 1 6.63133- 5 7.77004- 2 3.00000+ 0 1.40000+ 1 4.60198- 5 7.78327- 2 3.00000+ 0 1.60000+ 1 4.24153- 4 7.96493- 2 3.00000+ 0 1.80000+ 1 3.73427- 4 7.97835- 2 3.00000+ 0 1.90000+ 1 1.94816- 4 7.99426- 2 3.00000+ 0 2.10000+ 1 1.83317- 5 8.01625- 2 3.00000+ 0 2.20000+ 1 1.25278- 5 8.01922- 2 3.00000+ 0 2.40000+ 1 4.17591- 8 8.04808- 2 3.00000+ 0 2.50000+ 1 4.17591- 8 8.04881- 2 3.00000+ 0 2.70000+ 1 9.82199- 5 8.05103- 2 3.00000+ 0 2.90000+ 1 7.95116- 5 8.05597- 2 3.00000+ 0 3.00000+ 1 4.05904- 5 8.05936- 2 3.00000+ 0 3.20000+ 1 2.92312- 6 8.06655- 2 3.00000+ 0 3.30000+ 1 1.96274- 6 8.06702- 2 5.00000+ 0 5.00000+ 0 3.14241- 4 6.39720- 2 5.00000+ 0 6.00000+ 0 5.47734- 3 6.67490- 2 5.00000+ 0 8.00000+ 0 1.21821- 3 7.69203- 2 5.00000+ 0 1.00000+ 1 1.19932- 4 7.72204- 2 5.00000+ 0 1.10000+ 1 1.10274- 3 7.78501- 2 5.00000+ 0 1.30000+ 1 6.76096- 5 7.83464- 2 5.00000+ 0 1.40000+ 1 1.66626- 4 7.84787- 2 5.00000+ 0 1.60000+ 1 3.03682- 4 8.02953- 2 5.00000+ 0 1.80000+ 1 2.93574- 5 8.04295- 2 5.00000+ 0 1.90000+ 1 2.67516- 4 8.05886- 2 5.00000+ 0 2.10000+ 1 1.79142- 5 8.08085- 2 5.00000+ 0 2.20000+ 1 4.43919- 5 8.08382- 2 5.00000+ 0 2.40000+ 1 5.42884- 7 8.11268- 2 5.00000+ 0 2.50000+ 1 8.35200- 7 8.11341- 2 5.00000+ 0 2.70000+ 1 6.97824- 5 8.11563- 2 5.00000+ 0 2.90000+ 1 6.22233- 6 8.12057- 2 5.00000+ 0 3.00000+ 1 5.52075- 5 8.12396- 2 5.00000+ 0 3.20000+ 1 2.83965- 6 8.13115- 2 5.00000+ 0 3.30000+ 1 6.93218- 6 8.13162- 2 6.00000+ 0 6.00000+ 0 2.29714- 3 6.95260- 2 6.00000+ 0 8.00000+ 0 5.16130- 4 7.96973- 2 6.00000+ 0 1.00000+ 1 9.82971- 4 7.99974- 2 6.00000+ 0 1.10000+ 1 9.55277- 4 8.06271- 2 6.00000+ 0 1.30000+ 1 1.82832- 4 8.11234- 2 6.00000+ 0 1.40000+ 1 1.49294- 4 8.12557- 2 6.00000+ 0 1.60000+ 1 1.25368- 4 8.30723- 2 6.00000+ 0 1.80000+ 1 2.37281- 4 8.32065- 2 6.00000+ 0 1.90000+ 1 2.33779- 4 8.33656- 2 6.00000+ 0 2.10000+ 1 4.89850- 5 8.35855- 2 6.00000+ 0 2.20000+ 1 3.99213- 5 8.36152- 2 6.00000+ 0 2.40000+ 1 8.76967- 7 8.39038- 2 6.00000+ 0 2.50000+ 1 9.18746- 7 8.39111- 2 6.00000+ 0 2.70000+ 1 2.86483- 5 8.39333- 2 6.00000+ 0 2.90000+ 1 5.00278- 5 8.39827- 2 6.00000+ 0 3.00000+ 1 4.83157- 5 8.40166- 2 6.00000+ 0 3.20000+ 1 7.76731- 6 8.40885- 2 6.00000+ 0 3.30000+ 1 6.22234- 6 8.40932- 2 8.00000+ 0 8.00000+ 0 1.65500- 4 8.98686- 2 8.00000+ 0 1.00000+ 1 2.64920- 4 9.01687- 2 8.00000+ 0 1.10000+ 1 1.24527- 4 9.07984- 2 8.00000+ 0 1.30000+ 1 1.04400- 5 9.12947- 2 8.00000+ 0 1.40000+ 1 6.80702- 6 9.14270- 2 8.00000+ 0 1.60000+ 1 8.47727- 5 9.32436- 2 8.00000+ 0 1.80000+ 1 6.67734- 5 9.33778- 2 8.00000+ 0 1.90000+ 1 3.15291- 5 9.35369- 2 8.00000+ 0 2.10000+ 1 2.88140- 6 9.37568- 2 8.00000+ 0 2.20000+ 1 1.83749- 6 9.37865- 2 8.00000+ 0 2.70000+ 1 1.96276- 5 9.41046- 2 8.00000+ 0 2.90000+ 1 1.42401- 5 9.41540- 2 8.00000+ 0 3.00000+ 1 6.55649- 6 9.41879- 2 8.00000+ 0 3.20000+ 1 4.59373- 7 9.42598- 2 8.00000+ 0 3.30000+ 1 2.92315- 7 9.42645- 2 1.00000+ 1 1.00000+ 1 1.10247- 5 9.04688- 2 1.00000+ 1 1.10000+ 1 2.03866- 4 9.10985- 2 1.00000+ 1 1.30000+ 1 1.08161- 5 9.15948- 2 1.00000+ 1 1.40000+ 1 2.23838- 5 9.17271- 2 1.00000+ 1 1.60000+ 1 6.60214- 5 9.35437- 2 1.00000+ 1 1.80000+ 1 5.34525- 6 9.36779- 2 1.00000+ 1 1.90000+ 1 4.97783- 5 9.38370- 2 1.00000+ 1 2.10000+ 1 2.88141- 6 9.40569- 2 1.00000+ 1 2.20000+ 1 6.01346- 6 9.40866- 2 1.00000+ 1 2.40000+ 1 8.35204- 8 9.43752- 2 1.00000+ 1 2.50000+ 1 8.35204- 8 9.43825- 2 1.00000+ 1 2.70000+ 1 1.51593- 5 9.44047- 2 1.00000+ 1 2.90000+ 1 1.12753- 6 9.44541- 2 1.00000+ 1 3.00000+ 1 1.02732- 5 9.44880- 2 1.00000+ 1 3.20000+ 1 4.59375- 7 9.45599- 2 1.00000+ 1 3.30000+ 1 9.60494- 7 9.45646- 2 1.10000+ 1 1.10000+ 1 1.00391- 4 9.17282- 2 1.10000+ 1 1.30000+ 1 3.06084- 5 9.22245- 2 1.10000+ 1 1.40000+ 1 2.41375- 5 9.23568- 2 1.10000+ 1 1.60000+ 1 3.03168- 5 9.41734- 2 1.10000+ 1 1.80000+ 1 4.95276- 5 9.43076- 2 1.10000+ 1 1.90000+ 1 4.92337- 5 9.44667- 2 1.10000+ 1 2.10000+ 1 8.26824- 6 9.46866- 2 1.10000+ 1 2.20000+ 1 6.51439- 6 9.47163- 2 1.10000+ 1 2.40000+ 1 1.25277- 7 9.50049- 2 1.10000+ 1 2.50000+ 1 1.25277- 7 9.50122- 2 1.10000+ 1 2.70000+ 1 6.93206- 6 9.50344- 2 1.10000+ 1 2.90000+ 1 1.04399- 5 9.50838- 2 1.10000+ 1 3.00000+ 1 1.01893- 5 9.51177- 2 1.10000+ 1 3.20000+ 1 1.33628- 6 9.51896- 2 1.10000+ 1 3.30000+ 1 1.00224- 6 9.51943- 2 1.30000+ 1 1.30000+ 1 8.35198- 8 9.27208- 2 1.30000+ 1 1.40000+ 1 3.42432- 6 9.28531- 2 1.30000+ 1 1.60000+ 1 2.54745- 6 9.46697- 2 1.30000+ 1 1.80000+ 1 2.54745- 6 9.48039- 2 1.30000+ 1 1.90000+ 1 7.14105- 6 9.49630- 2 1.30000+ 1 2.10000+ 1 4.17593- 8 9.51829- 2 1.30000+ 1 2.20000+ 1 8.76963- 7 9.52126- 2 1.30000+ 1 2.70000+ 1 5.84618- 7 9.55307- 2 1.30000+ 1 2.90000+ 1 5.42883- 7 9.55801- 2 1.30000+ 1 3.00000+ 1 1.46157- 6 9.56140- 2 1.30000+ 1 3.30000+ 1 1.25279- 7 9.56906- 2 1.40000+ 1 1.40000+ 1 8.35204- 7 9.29854- 2 1.40000+ 1 1.60000+ 1 1.62860- 6 9.48020- 2 1.40000+ 1 1.80000+ 1 5.05317- 6 9.49362- 2 1.40000+ 1 1.90000+ 1 5.55414- 6 9.50953- 2 1.40000+ 1 2.10000+ 1 8.76970- 7 9.53152- 2 1.40000+ 1 2.20000+ 1 4.17596- 7 9.53449- 2 1.40000+ 1 2.70000+ 1 3.75862- 7 9.56630- 2 1.40000+ 1 2.90000+ 1 1.04401- 6 9.57124- 2 1.40000+ 1 3.00000+ 1 1.12753- 6 9.57463- 2 1.40000+ 1 3.20000+ 1 1.25280- 7 9.58182- 2 1.40000+ 1 3.30000+ 1 8.35204- 8 9.58229- 2 1.60000+ 1 1.60000+ 1 1.08577- 5 9.66186- 2 1.60000+ 1 1.80000+ 1 1.66627- 5 9.67528- 2 1.60000+ 1 1.90000+ 1 7.68370- 6 9.69119- 2 1.60000+ 1 2.10000+ 1 7.09911- 7 9.71318- 2 1.60000+ 1 2.20000+ 1 4.59374- 7 9.71615- 2 1.60000+ 1 2.70000+ 1 5.01107- 6 9.74796- 2 1.60000+ 1 2.90000+ 1 3.54961- 6 9.75290- 2 1.60000+ 1 3.00000+ 1 1.58685- 6 9.75629- 2 1.60000+ 1 3.20000+ 1 1.25280- 7 9.76348- 2 1.60000+ 1 3.30000+ 1 8.35203- 8 9.76395- 2 1.80000+ 1 1.80000+ 1 6.68183- 7 9.68870- 2 1.80000+ 1 1.90000+ 1 1.21105- 5 9.70461- 2 1.80000+ 1 2.10000+ 1 6.68183- 7 9.72660- 2 1.80000+ 1 2.20000+ 1 1.37808- 6 9.72957- 2 1.80000+ 1 2.70000+ 1 3.84193- 6 9.76138- 2 1.80000+ 1 2.90000+ 1 2.92318- 7 9.76632- 2 1.80000+ 1 3.00000+ 1 2.50561- 6 9.76971- 2 1.80000+ 1 3.20000+ 1 1.25281- 7 9.77690- 2 1.80000+ 1 3.30000+ 1 2.08794- 7 9.77736- 2 1.90000+ 1 1.90000+ 1 6.03652- 6 9.72052- 2 1.90000+ 1 2.10000+ 1 1.91511- 6 9.74251- 2 1.90000+ 1 2.20000+ 1 1.49873- 6 9.74548- 2 1.90000+ 1 2.40000+ 1 4.16314- 8 9.77434- 2 1.90000+ 1 2.50000+ 1 4.16314- 8 9.77507- 2 1.90000+ 1 2.70000+ 1 1.74849- 6 9.77729- 2 1.90000+ 1 2.90000+ 1 2.53965- 6 9.78223- 2 1.90000+ 1 3.00000+ 1 2.49791- 6 9.78562- 2 1.90000+ 1 3.20000+ 1 2.91419- 7 9.79281- 2 1.90000+ 1 3.30000+ 1 2.49791- 7 9.79328- 2 2.10000+ 1 2.20000+ 1 2.57537- 7 9.76747- 2 2.10000+ 1 2.70000+ 1 1.71687- 7 9.79928- 2 2.10000+ 1 2.90000+ 1 1.28768- 7 9.80422- 2 2.10000+ 1 3.00000+ 1 3.86328- 7 9.80761- 2 2.10000+ 1 3.30000+ 1 4.29224- 8 9.81527- 2 2.20000+ 1 2.20000+ 1 4.61242- 8 9.77044- 2 2.20000+ 1 2.70000+ 1 9.22497- 8 9.80225- 2 2.20000+ 1 2.90000+ 1 3.22868- 7 9.80719- 2 2.20000+ 1 3.00000+ 1 3.22868- 7 9.81058- 2 2.20000+ 1 3.20000+ 1 4.61242- 8 9.81777- 2 2.70000+ 1 2.70000+ 1 5.83139- 7 9.83406- 2 2.70000+ 1 2.90000+ 1 8.33086- 7 9.83900- 2 2.70000+ 1 3.00000+ 1 3.74909- 7 9.84239- 2 2.70000+ 1 3.20000+ 1 4.16537- 8 9.84958- 2 2.90000+ 1 2.90000+ 1 4.17596- 8 9.84394- 2 2.90000+ 1 3.00000+ 1 5.42887- 7 9.84733- 2 2.90000+ 1 3.20000+ 1 4.17596- 8 9.85452- 2 2.90000+ 1 3.30000+ 1 4.17596- 8 9.85499- 2 3.00000+ 1 3.00000+ 1 2.57692- 7 9.85073- 2 3.00000+ 1 3.20000+ 1 8.58976- 8 9.85791- 2 3.00000+ 1 3.30000+ 1 4.29482- 8 9.85838- 2 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.21420- 5 6.46000- 4 6.00000+ 0 4.52499- 3 3.42300- 3 1.00000+ 1 4.00399- 2 1.38944- 2 1.10000+ 1 4.02679- 2 1.45241- 2 1.30000+ 1 1.60100- 3 1.50204- 2 1.40000+ 1 2.39269- 3 1.51527- 2 1.80000+ 1 1.05260- 2 1.71035- 2 1.90000+ 1 1.17490- 2 1.72626- 2 2.10000+ 1 2.56459- 4 1.74825- 2 2.20000+ 1 4.08179- 4 1.75122- 2 2.90000+ 1 2.28359- 3 1.78797- 2 3.00000+ 1 2.54459- 3 1.79136- 2 3.20000+ 1 3.78329- 5 1.79855- 2 3.30000+ 1 6.02888- 5 1.79902- 2 4.30000+ 1 2.91149- 4 1.80283- 2 4.40000+ 1 2.83279- 4 1.80324- 2 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.10000+ 1 4.61007- 3 8.65000- 5 5.00000+ 0 2.20000+ 1 6.01910- 3 1.16180- 4 5.00000+ 0 2.40000+ 1 1.39089- 2 4.04840- 4 5.00000+ 0 2.50000+ 1 1.85666- 2 4.12130- 4 5.00000+ 0 2.70000+ 1 4.76726- 3 4.34310- 4 5.00000+ 0 2.90000+ 1 3.62064- 3 4.83710- 4 5.00000+ 0 3.00000+ 1 3.14365- 3 5.17630- 4 5.00000+ 0 3.20000+ 1 7.37830- 4 5.89510- 4 5.00000+ 0 3.30000+ 1 9.64849- 4 5.94160- 4 6.00000+ 0 1.30000+ 1 2.26564- 1 4.01400- 4 6.00000+ 0 1.40000+ 1 2.81305- 1 5.33700- 4 6.00000+ 0 1.60000+ 1 1.81149- 2 2.35030- 3 6.00000+ 0 1.80000+ 1 7.11639- 3 2.48449- 3 6.00000+ 0 1.90000+ 1 1.04344- 2 2.64361- 3 6.00000+ 0 2.10000+ 1 3.19147- 2 2.86350- 3 6.00000+ 0 2.20000+ 1 3.74790- 2 2.89318- 3 6.00000+ 0 2.40000+ 1 2.12929- 2 3.18184- 3 6.00000+ 0 2.50000+ 1 2.63573- 2 3.18913- 3 6.00000+ 0 2.70000+ 1 3.97933- 3 3.21131- 3 6.00000+ 0 2.90000+ 1 1.48887- 3 3.26071- 3 6.00000+ 0 3.00000+ 1 2.15703- 3 3.29463- 3 6.00000+ 0 3.20000+ 1 4.63125- 3 3.36651- 3 6.00000+ 0 3.30000+ 1 5.29279- 3 3.37116- 3 8.00000+ 0 8.00000+ 0 5.33324- 3 9.14660- 3 8.00000+ 0 1.00000+ 1 1.10545- 2 9.44670- 3 8.00000+ 0 1.10000+ 1 1.66720- 2 1.00764- 2 8.00000+ 0 1.30000+ 1 1.21005- 2 1.05727- 2 8.00000+ 0 1.40000+ 1 1.51612- 2 1.07050- 2 8.00000+ 0 1.60000+ 1 2.33285- 3 1.25216- 2 8.00000+ 0 1.80000+ 1 2.75533- 3 1.26558- 2 8.00000+ 0 1.90000+ 1 4.11286- 3 1.28149- 2 8.00000+ 0 2.10000+ 1 2.77106- 3 1.30348- 2 8.00000+ 0 2.20000+ 1 3.44942- 3 1.30645- 2 8.00000+ 0 2.40000+ 1 2.44646- 4 1.33531- 2 8.00000+ 0 2.50000+ 1 2.62690- 4 1.33604- 2 8.00000+ 0 2.70000+ 1 5.25568- 4 1.33826- 2 8.00000+ 0 2.90000+ 1 5.84428- 4 1.34320- 2 8.00000+ 0 3.00000+ 1 8.51090- 4 1.34659- 2 8.00000+ 0 3.20000+ 1 4.27035- 4 1.35378- 2 8.00000+ 0 3.30000+ 1 5.22362- 4 1.35425- 2 1.00000+ 1 1.00000+ 1 1.72983- 5 9.74680- 3 1.00000+ 1 1.10000+ 1 2.07958- 4 1.03765- 2 1.00000+ 1 1.30000+ 1 7.02695- 4 1.08728- 2 1.00000+ 1 1.40000+ 1 5.35643- 3 1.10051- 2 1.00000+ 1 1.60000+ 1 1.90857- 3 1.28217- 2 1.00000+ 1 1.80000+ 1 2.25640- 6 1.29559- 2 1.00000+ 1 1.90000+ 1 4.23068- 5 1.31150- 2 1.00000+ 1 2.10000+ 1 1.38021- 4 1.33349- 2 1.00000+ 1 2.20000+ 1 7.82017- 4 1.33646- 2 1.00000+ 1 2.40000+ 1 9.04428- 5 1.36532- 2 1.00000+ 1 2.50000+ 1 3.14381- 4 1.36605- 2 1.00000+ 1 2.70000+ 1 4.04263- 4 1.36827- 2 1.00000+ 1 2.90000+ 1 3.76052- 7 1.37321- 2 1.00000+ 1 3.00000+ 1 8.46151- 6 1.37660- 2 1.00000+ 1 3.20000+ 1 2.10592- 5 1.38379- 2 1.00000+ 1 3.30000+ 1 1.09438- 4 1.38426- 2 1.10000+ 1 1.10000+ 1 6.18459- 4 1.10062- 2 1.10000+ 1 1.30000+ 1 1.63874- 3 1.15025- 2 1.10000+ 1 1.40000+ 1 9.96797- 4 1.16348- 2 1.10000+ 1 1.60000+ 1 2.81723- 3 1.34514- 2 1.10000+ 1 1.80000+ 1 5.20877- 5 1.35856- 2 1.10000+ 1 1.90000+ 1 2.33354- 4 1.37447- 2 1.10000+ 1 2.10000+ 1 1.56821- 4 1.39646- 2 1.10000+ 1 2.20000+ 1 7.27740- 5 1.39943- 2 1.10000+ 1 2.40000+ 1 1.30683- 4 1.42829- 2 1.10000+ 1 2.50000+ 1 1.10565- 4 1.42902- 2 1.10000+ 1 2.70000+ 1 5.93823- 4 1.43124- 2 1.10000+ 1 2.90000+ 1 1.10946- 5 1.43618- 2 1.10000+ 1 3.00000+ 1 4.56929- 5 1.43957- 2 1.10000+ 1 3.20000+ 1 2.03088- 5 1.44676- 2 1.10000+ 1 3.30000+ 1 8.64981- 6 1.44723- 2 1.30000+ 1 1.30000+ 1 7.03091- 4 1.19988- 2 1.30000+ 1 1.40000+ 1 2.01930- 2 1.21311- 2 1.30000+ 1 1.60000+ 1 1.85469- 3 1.39477- 2 1.30000+ 1 1.80000+ 1 2.08542- 4 1.40819- 2 1.30000+ 1 1.90000+ 1 4.49804- 4 1.42410- 2 1.30000+ 1 2.10000+ 1 3.13278- 4 1.44609- 2 1.30000+ 1 2.20000+ 1 3.20482- 3 1.44906- 2 1.30000+ 1 2.40000+ 1 2.52915- 4 1.47792- 2 1.30000+ 1 2.50000+ 1 6.92581- 4 1.47865- 2 1.30000+ 1 2.70000+ 1 3.82859- 4 1.48087- 2 1.30000+ 1 2.90000+ 1 4.58821- 5 1.48581- 2 1.30000+ 1 3.00000+ 1 9.51533- 5 1.48920- 2 1.30000+ 1 3.20000+ 1 4.81384- 5 1.49639- 2 1.30000+ 1 3.30000+ 1 4.53181- 4 1.49686- 2 1.40000+ 1 1.40000+ 1 5.54895- 3 1.22634- 2 1.40000+ 1 1.60000+ 1 2.35946- 3 1.40800- 2 1.40000+ 1 1.80000+ 1 1.17937- 3 1.42142- 2 1.40000+ 1 1.90000+ 1 2.73966- 4 1.43733- 2 1.40000+ 1 2.10000+ 1 3.08720- 3 1.45932- 2 1.40000+ 1 2.20000+ 1 1.85893- 3 1.46229- 2 1.40000+ 1 2.40000+ 1 7.61383- 4 1.49115- 2 1.40000+ 1 2.50000+ 1 5.70684- 4 1.49188- 2 1.40000+ 1 2.70000+ 1 4.90214- 4 1.49410- 2 1.40000+ 1 2.90000+ 1 2.44061- 4 1.49904- 2 1.40000+ 1 3.00000+ 1 5.82907- 5 1.50243- 2 1.40000+ 1 3.20000+ 1 4.40372- 4 1.50962- 2 1.40000+ 1 3.30000+ 1 2.66071- 4 1.51009- 2 1.60000+ 1 1.60000+ 1 2.40881- 4 1.58966- 2 1.60000+ 1 1.80000+ 1 4.77254- 4 1.60308- 2 1.60000+ 1 1.90000+ 1 6.98378- 4 1.61899- 2 1.60000+ 1 2.10000+ 1 4.27230- 4 1.64098- 2 1.60000+ 1 2.20000+ 1 5.36104- 4 1.64395- 2 1.60000+ 1 2.40000+ 1 3.12154- 5 1.67281- 2 1.60000+ 1 2.50000+ 1 3.21552- 5 1.67354- 2 1.60000+ 1 2.70000+ 1 1.07181- 4 1.67576- 2 1.60000+ 1 2.90000+ 1 1.01159- 4 1.68070- 2 1.60000+ 1 3.00000+ 1 1.44600- 4 1.68409- 2 1.60000+ 1 3.20000+ 1 6.60026- 5 1.69128- 2 1.60000+ 1 3.30000+ 1 8.12326- 5 1.69175- 2 1.80000+ 1 1.90000+ 1 1.05305- 5 1.63241- 2 1.80000+ 1 2.10000+ 1 3.66681- 5 1.65440- 2 1.80000+ 1 2.20000+ 1 1.79203- 4 1.65737- 2 1.80000+ 1 2.40000+ 1 1.27867- 5 1.68623- 2 1.80000+ 1 2.50000+ 1 5.03946- 5 1.68696- 2 1.80000+ 1 2.70000+ 1 1.01157- 4 1.68918- 2 1.80000+ 1 3.00000+ 1 2.06845- 6 1.69751- 2 1.80000+ 1 3.20000+ 1 5.45314- 6 1.70470- 2 1.80000+ 1 3.30000+ 1 2.51968- 5 1.70516- 2 1.90000+ 1 1.90000+ 1 2.12484- 5 1.64832- 2 1.90000+ 1 2.10000+ 1 4.71974- 5 1.67031- 2 1.90000+ 1 2.20000+ 1 2.46327- 5 1.67328- 2 1.90000+ 1 2.40000+ 1 2.85820- 5 1.70214- 2 1.90000+ 1 2.50000+ 1 2.35046- 5 1.70287- 2 1.90000+ 1 2.70000+ 1 1.47232- 4 1.70509- 2 1.90000+ 1 2.90000+ 1 2.25648- 6 1.71003- 2 1.90000+ 1 3.00000+ 1 8.27378- 6 1.71342- 2 1.90000+ 1 3.20000+ 1 6.20519- 6 1.72061- 2 1.90000+ 1 3.30000+ 1 3.19663- 6 1.72108- 2 2.10000+ 1 2.10000+ 1 3.23423- 5 1.69230- 2 2.10000+ 1 2.20000+ 1 5.36671- 4 1.69527- 2 2.10000+ 1 2.40000+ 1 3.89246- 5 1.72413- 2 2.10000+ 1 2.50000+ 1 8.06660- 5 1.72486- 2 2.10000+ 1 2.70000+ 1 8.81910- 5 1.72708- 2 2.10000+ 1 2.90000+ 1 7.89730- 6 1.73202- 2 2.10000+ 1 3.00000+ 1 1.01539- 5 1.73541- 2 2.10000+ 1 3.20000+ 1 9.77828- 6 1.74260- 2 2.10000+ 1 3.30000+ 1 7.70934- 5 1.74307- 2 2.20000+ 1 2.20000+ 1 1.67162- 4 1.69824- 2 2.20000+ 1 2.40000+ 1 9.43930- 5 1.72710- 2 2.20000+ 1 2.50000+ 1 7.85996- 5 1.72783- 2 2.20000+ 1 2.70000+ 1 1.11137- 4 1.73005- 2 2.20000+ 1 2.90000+ 1 3.74200- 5 1.73499- 2 2.20000+ 1 3.00000+ 1 5.45320- 6 1.73838- 2 2.20000+ 1 3.20000+ 1 7.78472- 5 1.74557- 2 2.20000+ 1 3.30000+ 1 4.83263- 5 1.74603- 2 2.40000+ 1 2.40000+ 1 1.15829- 6 1.75597- 2 2.40000+ 1 2.50000+ 1 2.06561- 5 1.75670- 2 2.40000+ 1 2.70000+ 1 6.37075- 6 1.75891- 2 2.40000+ 1 2.90000+ 1 2.50965- 6 1.76385- 2 2.40000+ 1 3.00000+ 1 5.79166- 6 1.76725- 2 2.40000+ 1 3.20000+ 1 5.79166- 6 1.77443- 2 2.40000+ 1 3.30000+ 1 1.31278- 5 1.77490- 2 2.50000+ 1 2.50000+ 1 4.81290- 6 1.75743- 2 2.50000+ 1 2.70000+ 1 7.11462- 6 1.75964- 2 2.50000+ 1 2.90000+ 1 1.08815- 5 1.76458- 2 2.50000+ 1 3.00000+ 1 5.23144- 6 1.76798- 2 2.50000+ 1 3.20000+ 1 1.21367- 5 1.77516- 2 2.50000+ 1 3.30000+ 1 1.21367- 5 1.77563- 2 2.70000+ 1 2.70000+ 1 1.55821- 5 1.76186- 2 2.70000+ 1 2.90000+ 1 2.81981- 5 1.76680- 2 2.70000+ 1 3.00000+ 1 4.00691- 5 1.77019- 2 2.70000+ 1 3.20000+ 1 1.78094- 5 1.77738- 2 2.70000+ 1 3.30000+ 1 2.22610- 5 1.77785- 2 2.90000+ 1 3.00000+ 1 5.63267- 7 1.77513- 2 2.90000+ 1 3.20000+ 1 1.68979- 6 1.78232- 2 2.90000+ 1 3.30000+ 1 7.88592- 6 1.78279- 2 3.00000+ 1 3.00000+ 1 1.25821- 6 1.77853- 2 3.00000+ 1 3.20000+ 1 2.20187- 6 1.78571- 2 3.00000+ 1 3.30000+ 1 1.25821- 6 1.78618- 2 3.20000+ 1 3.20000+ 1 7.58064- 7 1.79290- 2 3.20000+ 1 3.30000+ 1 1.13709- 5 1.79337- 2 3.30000+ 1 3.30000+ 1 3.38579- 6 1.79383- 2 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.87351- 5 2.77700- 3 8.00000+ 0 9.77885- 3 1.29483- 2 1.10000+ 1 4.41872- 4 1.38781- 2 1.30000+ 1 3.55292- 1 1.43744- 2 1.60000+ 1 2.57791- 3 1.63233- 2 1.90000+ 1 1.27011- 4 1.66166- 2 2.10000+ 1 7.57814- 2 1.68365- 2 2.40000+ 1 3.80652- 4 1.71548- 2 2.70000+ 1 6.04373- 4 1.71843- 2 3.00000+ 1 2.74231- 5 1.72676- 2 3.20000+ 1 1.19291- 2 1.73395- 2 4.10000+ 1 1.00271- 4 1.73703- 2 4.40000+ 1 3.05152- 6 1.73864- 2 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 4.54197- 3 1.70430- 3 6.00000+ 0 1.80000+ 1 3.45072- 2 1.83849- 3 6.00000+ 0 1.90000+ 1 8.96915- 3 1.99761- 3 6.00000+ 0 2.10000+ 1 3.30599- 2 2.21750- 3 6.00000+ 0 2.20000+ 1 1.12707- 2 2.24718- 3 6.00000+ 0 2.40000+ 1 1.49079- 3 2.53584- 3 6.00000+ 0 2.50000+ 1 2.19358- 3 2.54313- 3 6.00000+ 0 2.70000+ 1 9.65588- 4 2.56531- 3 6.00000+ 0 2.90000+ 1 6.70405- 3 2.61471- 3 6.00000+ 0 3.00000+ 1 1.80742- 3 2.64863- 3 6.00000+ 0 3.20000+ 1 4.89164- 3 2.72051- 3 6.00000+ 0 3.30000+ 1 1.65858- 3 2.72516- 3 8.00000+ 0 8.00000+ 0 5.04430- 4 8.50060- 3 8.00000+ 0 1.00000+ 1 1.89379- 2 8.80070- 3 8.00000+ 0 1.10000+ 1 1.73128- 3 9.43040- 3 8.00000+ 0 1.30000+ 1 3.20957- 3 9.92670- 3 8.00000+ 0 1.40000+ 1 1.51899- 3 1.00590- 2 8.00000+ 0 1.60000+ 1 1.98010- 4 1.18756- 2 8.00000+ 0 1.80000+ 1 3.11630- 3 1.20098- 2 8.00000+ 0 1.90000+ 1 3.83407- 4 1.21689- 2 8.00000+ 0 2.10000+ 1 5.21120- 4 1.23888- 2 8.00000+ 0 2.20000+ 1 2.10250- 4 1.24185- 2 8.00000+ 0 2.40000+ 1 8.47494- 5 1.27071- 2 8.00000+ 0 2.50000+ 1 5.98985- 5 1.27144- 2 8.00000+ 0 2.70000+ 1 4.31892- 5 1.27366- 2 8.00000+ 0 2.90000+ 1 6.05499- 4 1.27860- 2 8.00000+ 0 3.00000+ 1 7.74138- 5 1.28199- 2 8.00000+ 0 3.20000+ 1 7.57847- 5 1.28918- 2 8.00000+ 0 3.30000+ 1 2.93373- 5 1.28965- 2 1.00000+ 1 1.00000+ 1 1.99998- 2 9.10080- 3 1.00000+ 1 1.10000+ 1 4.84890- 2 9.73050- 3 1.00000+ 1 1.30000+ 1 2.48381- 2 1.02268- 2 1.00000+ 1 1.40000+ 1 3.38861- 2 1.03591- 2 1.00000+ 1 1.60000+ 1 4.98996- 3 1.21757- 2 1.00000+ 1 1.80000+ 1 8.38606- 3 1.23099- 2 1.00000+ 1 1.90000+ 1 1.17467- 2 1.24690- 2 1.00000+ 1 2.10000+ 1 5.68068- 3 1.26889- 2 1.00000+ 1 2.20000+ 1 7.74381- 3 1.27186- 2 1.00000+ 1 2.40000+ 1 4.50621- 4 1.30072- 2 1.00000+ 1 2.50000+ 1 3.80950- 4 1.30145- 2 1.00000+ 1 2.70000+ 1 1.16080- 3 1.30367- 2 1.00000+ 1 2.90000+ 1 1.72584- 3 1.30861- 2 1.00000+ 1 3.00000+ 1 2.42225- 3 1.31200- 2 1.00000+ 1 3.20000+ 1 8.76016- 4 1.31919- 2 1.00000+ 1 3.30000+ 1 1.17427- 3 1.31966- 2 1.10000+ 1 1.10000+ 1 1.06387- 3 1.03602- 2 1.10000+ 1 1.30000+ 1 2.10876- 2 1.08565- 2 1.10000+ 1 1.40000+ 1 3.13401- 3 1.09888- 2 1.10000+ 1 1.60000+ 1 3.81367- 4 1.28054- 2 1.10000+ 1 1.80000+ 1 8.09204- 3 1.29396- 2 1.10000+ 1 1.90000+ 1 4.43299- 4 1.30987- 2 1.10000+ 1 2.10000+ 1 4.07973- 3 1.33186- 2 1.10000+ 1 2.20000+ 1 5.86327- 4 1.33483- 2 1.10000+ 1 2.40000+ 1 1.69086- 4 1.36369- 2 1.10000+ 1 2.50000+ 1 8.71964- 5 1.36442- 2 1.10000+ 1 2.70000+ 1 8.51553- 5 1.36664- 2 1.10000+ 1 2.90000+ 1 1.57604- 3 1.37158- 2 1.10000+ 1 3.00000+ 1 8.84185- 5 1.37497- 2 1.10000+ 1 3.20000+ 1 6.09122- 4 1.38216- 2 1.10000+ 1 3.30000+ 1 8.59694- 5 1.38263- 2 1.30000+ 1 1.30000+ 1 1.99727- 2 1.13528- 2 1.30000+ 1 1.40000+ 1 7.82667- 2 1.14851- 2 1.30000+ 1 1.60000+ 1 8.49938- 4 1.33017- 2 1.30000+ 1 1.80000+ 1 3.99753- 3 1.34359- 2 1.30000+ 1 1.90000+ 1 4.70746- 3 1.35950- 2 1.30000+ 1 2.10000+ 1 7.57805- 3 1.38149- 2 1.30000+ 1 2.20000+ 1 1.60291- 2 1.38446- 2 1.30000+ 1 2.40000+ 1 1.52718- 3 1.41332- 2 1.30000+ 1 2.50000+ 1 3.06325- 3 1.41405- 2 1.30000+ 1 2.70000+ 1 1.98441- 4 1.41627- 2 1.30000+ 1 2.90000+ 1 7.79844- 4 1.42121- 2 1.30000+ 1 3.00000+ 1 9.53862- 4 1.42460- 2 1.30000+ 1 3.20000+ 1 1.13392- 3 1.43179- 2 1.30000+ 1 3.30000+ 1 2.38286- 3 1.43226- 2 1.40000+ 1 1.40000+ 1 3.81206- 3 1.16174- 2 1.40000+ 1 1.60000+ 1 3.22697- 4 1.34340- 2 1.40000+ 1 1.80000+ 1 4.79890- 3 1.35682- 2 1.40000+ 1 1.90000+ 1 6.45013- 4 1.37273- 2 1.40000+ 1 2.10000+ 1 1.21769- 2 1.39472- 2 1.40000+ 1 2.20000+ 1 1.42160- 3 1.39769- 2 1.40000+ 1 2.40000+ 1 6.08311- 4 1.42655- 2 1.40000+ 1 2.50000+ 1 2.32243- 4 1.42728- 2 1.40000+ 1 2.70000+ 1 7.17111- 5 1.42950- 2 1.40000+ 1 2.90000+ 1 9.00841- 4 1.43444- 2 1.40000+ 1 3.00000+ 1 1.28343- 4 1.43783- 2 1.40000+ 1 3.20000+ 1 1.74791- 3 1.44502- 2 1.40000+ 1 3.30000+ 1 2.08610- 4 1.44549- 2 1.60000+ 1 1.60000+ 1 1.87434- 5 1.52506- 2 1.60000+ 1 1.80000+ 1 8.25115- 4 1.53848- 2 1.60000+ 1 1.90000+ 1 8.47492- 5 1.55439- 2 1.60000+ 1 2.10000+ 1 1.34460- 4 1.57638- 2 1.60000+ 1 2.20000+ 1 4.44122- 5 1.57935- 2 1.60000+ 1 2.40000+ 1 1.95574- 5 1.60821- 2 1.60000+ 1 2.50000+ 1 1.10009- 5 1.60894- 2 1.60000+ 1 2.70000+ 1 8.14909- 6 1.61116- 2 1.60000+ 1 2.90000+ 1 1.60538- 4 1.61610- 2 1.60000+ 1 3.00000+ 1 1.71123- 5 1.61949- 2 1.60000+ 1 3.20000+ 1 1.95574- 5 1.62668- 2 1.60000+ 1 3.30000+ 1 6.11193- 6 1.62715- 2 1.80000+ 1 1.80000+ 1 8.34891- 4 1.55190- 2 1.80000+ 1 1.90000+ 1 1.96522- 3 1.56781- 2 1.80000+ 1 2.10000+ 1 9.01293- 4 1.58980- 2 1.80000+ 1 2.20000+ 1 1.10827- 3 1.59277- 2 1.80000+ 1 2.40000+ 1 5.98982- 5 1.62163- 2 1.80000+ 1 2.50000+ 1 3.95218- 5 1.62236- 2 1.80000+ 1 2.70000+ 1 1.91903- 4 1.62458- 2 1.80000+ 1 2.90000+ 1 3.39820- 4 1.62952- 2 1.80000+ 1 3.00000+ 1 4.05414- 4 1.63291- 2 1.80000+ 1 3.20000+ 1 1.38530- 4 1.64010- 2 1.80000+ 1 3.30000+ 1 1.68279- 4 1.64056- 2 1.90000+ 1 1.90000+ 1 4.64500- 5 1.58372- 2 1.90000+ 1 2.10000+ 1 9.17597- 4 1.60571- 2 1.90000+ 1 2.20000+ 1 1.22641- 4 1.60868- 2 1.90000+ 1 2.40000+ 1 3.30049- 5 1.63754- 2 1.90000+ 1 2.50000+ 1 1.54833- 5 1.63827- 2 1.90000+ 1 2.70000+ 1 1.91507- 5 1.64049- 2 1.90000+ 1 2.90000+ 1 3.82603- 4 1.64543- 2 1.90000+ 1 3.00000+ 1 1.83356- 5 1.64882- 2 1.90000+ 1 3.20000+ 1 1.37315- 4 1.65601- 2 1.90000+ 1 3.30000+ 1 1.79286- 5 1.65648- 2 2.10000+ 1 2.10000+ 1 7.13424- 4 1.62770- 2 2.10000+ 1 2.20000+ 1 2.60039- 3 1.63067- 2 2.10000+ 1 2.40000+ 1 1.98436- 4 1.65953- 2 2.10000+ 1 2.50000+ 1 4.00920- 4 1.66026- 2 2.10000+ 1 2.70000+ 1 3.13731- 5 1.66248- 2 2.10000+ 1 2.90000+ 1 1.74792- 4 1.66742- 2 2.10000+ 1 3.00000+ 1 1.86195- 4 1.67081- 2 2.10000+ 1 3.20000+ 1 2.13090- 4 1.67800- 2 2.10000+ 1 3.30000+ 1 3.89109- 4 1.67847- 2 2.20000+ 1 2.20000+ 1 1.34051- 4 1.63364- 2 2.20000+ 1 2.40000+ 1 8.59701- 5 1.66250- 2 2.20000+ 1 2.50000+ 1 3.34114- 5 1.66323- 2 2.20000+ 1 2.70000+ 1 9.77898- 6 1.66545- 2 2.20000+ 1 2.90000+ 1 2.08613- 4 1.67039- 2 2.20000+ 1 3.00000+ 1 2.44457- 5 1.67378- 2 2.20000+ 1 3.20000+ 1 3.75664- 4 1.68097- 2 2.20000+ 1 3.30000+ 1 3.95217- 5 1.68143- 2 2.40000+ 1 2.40000+ 1 4.88933- 6 1.69137- 2 2.40000+ 1 2.50000+ 1 3.34107- 5 1.69210- 2 2.40000+ 1 2.70000+ 1 4.48191- 6 1.69431- 2 2.40000+ 1 2.90000+ 1 1.14086- 5 1.69925- 2 2.40000+ 1 3.00000+ 1 6.51902- 6 1.70265- 2 2.40000+ 1 3.20000+ 1 2.77054- 5 1.70983- 2 2.40000+ 1 3.30000+ 1 1.18156- 5 1.71030- 2 2.50000+ 1 2.50000+ 1 2.03715- 6 1.69283- 2 2.50000+ 1 2.70000+ 1 2.44458- 6 1.69504- 2 2.50000+ 1 2.90000+ 1 6.92641- 6 1.69998- 2 2.50000+ 1 3.00000+ 1 2.85212- 6 1.70338- 2 2.50000+ 1 3.20000+ 1 5.58201- 5 1.71056- 2 2.50000+ 1 3.30000+ 1 4.48202- 6 1.71103- 2 2.70000+ 1 2.70000+ 1 8.14895- 7 1.69726- 2 2.70000+ 1 2.90000+ 1 3.74850- 5 1.70220- 2 2.70000+ 1 3.00000+ 1 3.66709- 6 1.70559- 2 2.70000+ 1 3.20000+ 1 4.48194- 6 1.71278- 2 2.70000+ 1 3.30000+ 1 1.22228- 6 1.71325- 2 2.90000+ 1 2.90000+ 1 3.46327- 5 1.70714- 2 2.90000+ 1 3.00000+ 1 7.90461- 5 1.71053- 2 2.90000+ 1 3.20000+ 1 2.68914- 5 1.71772- 2 2.90000+ 1 3.30000+ 1 3.17807- 5 1.71819- 2 3.00000+ 1 3.00000+ 1 2.03714- 6 1.71393- 2 3.00000+ 1 3.20000+ 1 2.77059- 5 1.72111- 2 3.00000+ 1 3.30000+ 1 3.66713- 6 1.72158- 2 3.20000+ 1 3.20000+ 1 1.54786- 5 1.72830- 2 3.20000+ 1 3.30000+ 1 5.47718- 5 1.72877- 2 3.30000+ 1 3.30000+ 1 3.00392- 6 1.72923- 2 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.78480- 2 1.01713- 2 1.00000+ 1 2.06789- 4 1.04714- 2 1.10000+ 1 1.87110- 4 1.11011- 2 1.30000+ 1 3.09219- 2 1.15974- 2 1.40000+ 1 2.72069- 1 1.17297- 2 1.60000+ 1 4.26739- 3 1.35463- 2 1.80000+ 1 4.66469- 5 1.36805- 2 1.90000+ 1 4.91499- 5 1.38396- 2 2.10000+ 1 5.97738- 3 1.40595- 2 2.20000+ 1 5.43029- 2 1.40892- 2 2.40000+ 1 5.83608- 5 1.43778- 2 2.50000+ 1 3.24379- 4 1.43851- 2 2.70000+ 1 9.91337- 4 1.44073- 2 2.90000+ 1 9.92197- 6 1.44567- 2 3.00000+ 1 1.07280- 5 1.44906- 2 3.20000+ 1 9.24038- 4 1.45625- 2 3.30000+ 1 8.33348- 3 1.45672- 2 4.10000+ 1 1.64100- 4 1.45933- 2 4.30000+ 1 1.24030- 6 1.46053- 2 4.40000+ 1 1.15590- 6 1.46094- 2 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 5.88940- 4 5.72360- 3 8.00000+ 0 1.00000+ 1 2.78656- 4 6.02370- 3 8.00000+ 0 1.10000+ 1 1.95885- 2 6.65340- 3 8.00000+ 0 1.30000+ 1 2.68073- 3 7.14970- 3 8.00000+ 0 1.40000+ 1 4.89112- 3 7.28200- 3 8.00000+ 0 1.60000+ 1 2.33622- 4 9.09860- 3 8.00000+ 0 1.80000+ 1 4.94835- 5 9.23279- 3 8.00000+ 0 1.90000+ 1 3.14591- 3 9.39191- 3 8.00000+ 0 2.10000+ 1 2.98118- 4 9.61180- 3 8.00000+ 0 2.20000+ 1 5.06992- 4 9.64148- 3 8.00000+ 0 2.40000+ 1 2.68498- 4 9.93014- 3 8.00000+ 0 2.50000+ 1 4.66442- 4 9.93743- 3 8.00000+ 0 2.70000+ 1 5.11050- 5 9.95961- 3 8.00000+ 0 2.90000+ 1 9.73433- 6 1.00090- 2 8.00000+ 0 3.00000+ 1 5.95841- 4 1.00429- 2 8.00000+ 0 3.20000+ 1 4.05609- 5 1.01148- 2 8.00000+ 0 3.30000+ 1 6.57041- 5 1.01195- 2 1.00000+ 1 1.00000+ 1 1.33847- 5 6.32380- 3 1.00000+ 1 1.10000+ 1 3.28568- 2 6.95350- 3 1.00000+ 1 1.30000+ 1 1.47152- 3 7.44980- 3 1.00000+ 1 1.40000+ 1 1.19759- 2 7.58210- 3 1.00000+ 1 1.60000+ 1 5.80016- 5 9.39870- 3 1.00000+ 1 1.80000+ 1 1.09513- 5 9.53289- 3 1.00000+ 1 1.90000+ 1 5.48388- 3 9.69201- 3 1.00000+ 1 2.10000+ 1 2.87167- 4 9.91190- 3 1.00000+ 1 2.20000+ 1 1.93771- 3 9.94158- 3 1.00000+ 1 2.40000+ 1 2.49458- 4 1.02302- 2 1.00000+ 1 2.50000+ 1 6.14113- 4 1.02375- 2 1.00000+ 1 2.70000+ 1 1.29798- 5 1.02597- 2 1.00000+ 1 2.90000+ 1 2.83921- 6 1.03091- 2 1.00000+ 1 3.00000+ 1 1.04642- 3 1.03430- 2 1.00000+ 1 3.20000+ 1 4.38071- 5 1.04149- 2 1.00000+ 1 3.30000+ 1 2.77842- 4 1.04196- 2 1.10000+ 1 1.10000+ 1 4.04666- 2 7.58320- 3 1.10000+ 1 1.30000+ 1 4.24110- 2 8.07950- 3 1.10000+ 1 1.40000+ 1 5.58652- 2 8.21180- 3 1.10000+ 1 1.60000+ 1 5.07350- 3 1.00284- 2 1.10000+ 1 1.80000+ 1 7.64633- 3 1.01626- 2 1.10000+ 1 1.90000+ 1 1.63788- 2 1.03217- 2 1.10000+ 1 2.10000+ 1 9.11046- 3 1.05416- 2 1.10000+ 1 2.20000+ 1 1.18702- 2 1.05713- 2 1.10000+ 1 2.40000+ 1 8.79376- 4 1.08599- 2 1.10000+ 1 2.50000+ 1 1.07000- 3 1.08672- 2 1.10000+ 1 2.70000+ 1 1.17583- 3 1.08894- 2 1.10000+ 1 2.90000+ 1 1.60213- 3 1.09388- 2 1.10000+ 1 3.00000+ 1 3.27129- 3 1.09727- 2 1.10000+ 1 3.20000+ 1 1.39126- 3 1.10446- 2 1.10000+ 1 3.30000+ 1 1.77747- 3 1.10493- 2 1.30000+ 1 1.30000+ 1 5.75196- 3 8.57580- 3 1.30000+ 1 1.40000+ 1 1.07473- 1 8.70810- 3 1.30000+ 1 1.60000+ 1 6.50189- 4 1.05247- 2 1.30000+ 1 1.80000+ 1 3.67882- 4 1.06589- 2 1.30000+ 1 1.90000+ 1 6.42159- 3 1.08180- 2 1.30000+ 1 2.10000+ 1 2.08314- 3 1.10379- 2 1.30000+ 1 2.20000+ 1 1.62824- 2 1.10676- 2 1.30000+ 1 2.40000+ 1 4.79840- 4 1.13562- 2 1.30000+ 1 2.50000+ 1 1.61626- 3 1.13635- 2 1.30000+ 1 2.70000+ 1 1.49271- 4 1.13857- 2 1.30000+ 1 2.90000+ 1 7.78798- 5 1.14351- 2 1.30000+ 1 3.00000+ 1 1.20056- 3 1.14690- 2 1.30000+ 1 3.20000+ 1 3.09887- 4 1.15409- 2 1.30000+ 1 3.30000+ 1 2.29540- 3 1.15456- 2 1.40000+ 1 1.40000+ 1 7.12733- 2 8.84040- 3 1.40000+ 1 1.60000+ 1 1.19818- 3 1.06570- 2 1.40000+ 1 1.80000+ 1 2.51725- 3 1.07912- 2 1.40000+ 1 1.90000+ 1 9.51201- 3 1.09503- 2 1.40000+ 1 2.10000+ 1 1.96403- 2 1.11702- 2 1.40000+ 1 2.20000+ 1 2.47507- 2 1.11999- 2 1.40000+ 1 2.40000+ 1 5.04865- 3 1.14885- 2 1.40000+ 1 2.50000+ 1 4.57414- 3 1.14958- 2 1.40000+ 1 2.70000+ 1 2.77435- 4 1.15180- 2 1.40000+ 1 2.90000+ 1 5.16745- 4 1.15674- 2 1.40000+ 1 3.00000+ 1 1.83614- 3 1.16013- 2 1.40000+ 1 3.20000+ 1 2.91631- 3 1.16732- 2 1.40000+ 1 3.30000+ 1 3.58841- 3 1.16779- 2 1.60000+ 1 1.60000+ 1 2.39302- 5 1.24736- 2 1.60000+ 1 1.80000+ 1 1.13568- 5 1.26078- 2 1.60000+ 1 1.90000+ 1 8.15260- 4 1.27669- 2 1.60000+ 1 2.10000+ 1 7.82810- 5 1.29868- 2 1.60000+ 1 2.20000+ 1 1.33041- 4 1.30165- 2 1.60000+ 1 2.40000+ 1 3.48812- 5 1.33051- 2 1.60000+ 1 2.50000+ 1 6.89485- 5 1.33124- 2 1.60000+ 1 2.70000+ 1 1.05460- 5 1.33346- 2 1.60000+ 1 2.90000+ 1 2.43352- 6 1.33840- 2 1.60000+ 1 3.00000+ 1 1.54127- 4 1.34179- 2 1.60000+ 1 3.20000+ 1 1.09509- 5 1.34898- 2 1.60000+ 1 3.30000+ 1 1.74411- 5 1.34945- 2 1.80000+ 1 1.80000+ 1 4.05618- 7 1.27420- 2 1.80000+ 1 1.90000+ 1 1.26797- 3 1.29011- 2 1.80000+ 1 2.10000+ 1 6.69243- 5 1.31210- 2 1.80000+ 1 2.20000+ 1 4.39673- 4 1.31507- 2 1.80000+ 1 2.40000+ 1 3.73166- 5 1.34393- 2 1.80000+ 1 2.50000+ 1 8.59933- 5 1.34466- 2 1.80000+ 1 2.70000+ 1 2.43359- 6 1.34688- 2 1.80000+ 1 3.00000+ 1 2.41755- 4 1.35521- 2 1.80000+ 1 3.20000+ 1 1.01404- 5 1.36240- 2 1.80000+ 1 3.30000+ 1 6.36790- 5 1.36286- 2 1.90000+ 1 1.90000+ 1 1.58517- 3 1.30602- 2 1.90000+ 1 2.10000+ 1 1.38271- 3 1.32801- 2 1.90000+ 1 2.20000+ 1 1.99027- 3 1.33098- 2 1.90000+ 1 2.40000+ 1 1.09513- 4 1.35984- 2 1.90000+ 1 2.50000+ 1 1.40341- 4 1.36057- 2 1.90000+ 1 2.70000+ 1 1.89008- 4 1.36279- 2 1.90000+ 1 2.90000+ 1 2.65268- 4 1.36773- 2 1.90000+ 1 3.00000+ 1 6.27078- 4 1.37112- 2 1.90000+ 1 3.20000+ 1 2.11323- 4 1.37831- 2 1.90000+ 1 3.30000+ 1 2.97304- 4 1.37878- 2 2.10000+ 1 2.10000+ 1 1.80900- 4 1.35000- 2 2.10000+ 1 2.20000+ 1 3.11706- 3 1.35297- 2 2.10000+ 1 2.40000+ 1 5.75962- 5 1.38183- 2 2.10000+ 1 2.50000+ 1 1.84157- 4 1.38256- 2 2.10000+ 1 2.70000+ 1 1.82533- 5 1.38478- 2 2.10000+ 1 2.90000+ 1 1.37905- 5 1.38972- 2 2.10000+ 1 3.00000+ 1 2.58772- 4 1.39311- 2 2.10000+ 1 3.20000+ 1 5.35403- 5 1.40030- 2 2.10000+ 1 3.30000+ 1 4.42522- 4 1.40077- 2 2.20000+ 1 2.20000+ 1 2.16180- 3 1.35594- 2 2.20000+ 1 2.40000+ 1 5.97448- 4 1.38480- 2 2.20000+ 1 2.50000+ 1 5.32149- 4 1.38553- 2 2.20000+ 1 2.70000+ 1 3.12316- 5 1.38775- 2 2.20000+ 1 2.90000+ 1 9.12636- 5 1.39269- 2 2.20000+ 1 3.00000+ 1 3.82891- 4 1.39608- 2 2.20000+ 1 3.20000+ 1 4.66038- 4 1.40327- 2 2.20000+ 1 3.30000+ 1 6.27067- 4 1.40373- 2 2.40000+ 1 2.40000+ 1 2.46385- 6 1.41367- 2 2.40000+ 1 2.50000+ 1 7.67890- 5 1.41440- 2 2.40000+ 1 2.70000+ 1 6.98079- 6 1.41661- 2 2.40000+ 1 2.90000+ 1 7.39183- 6 1.42155- 2 2.40000+ 1 3.00000+ 1 2.01221- 5 1.42495- 2 2.40000+ 1 3.20000+ 1 8.21271- 6 1.43213- 2 2.40000+ 1 3.30000+ 1 8.13092- 5 1.43260- 2 2.50000+ 1 2.50000+ 1 2.67705- 5 1.41513- 2 2.50000+ 1 2.70000+ 1 1.46025- 5 1.41734- 2 2.50000+ 1 2.90000+ 1 1.62241- 5 1.42228- 2 2.50000+ 1 3.00000+ 1 2.55548- 5 1.42568- 2 2.50000+ 1 3.20000+ 1 2.51489- 5 1.43286- 2 2.50000+ 1 3.30000+ 1 7.13887- 5 1.43333- 2 2.70000+ 1 2.70000+ 1 1.39714- 6 1.41956- 2 2.70000+ 1 2.90000+ 1 4.65737- 7 1.42450- 2 2.70000+ 1 3.00000+ 1 4.09833- 5 1.42789- 2 2.70000+ 1 3.20000+ 1 2.79429- 6 1.43508- 2 2.70000+ 1 3.30000+ 1 4.65737- 6 1.43555- 2 2.90000+ 1 3.00000+ 1 5.95913- 5 1.43283- 2 2.90000+ 1 3.20000+ 1 2.38362- 6 1.44002- 2 2.90000+ 1 3.30000+ 1 1.57319- 5 1.44049- 2 3.00000+ 1 3.00000+ 1 7.23274- 5 1.43623- 2 3.00000+ 1 3.20000+ 1 4.58559- 5 1.44341- 2 3.00000+ 1 3.30000+ 1 6.66562- 5 1.44388- 2 3.20000+ 1 3.20000+ 1 4.05619- 6 1.45060- 2 3.20000+ 1 3.30000+ 1 6.61166- 5 1.45107- 2 3.30000+ 1 3.30000+ 1 4.54289- 5 1.45153- 2 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.03291- 5 3.00100- 4 1.10000+ 1 6.93054- 4 9.29800- 4 1.80000+ 1 1.95671- 3 3.50919- 3 1.90000+ 1 1.31931- 3 3.66831- 3 2.90000+ 1 4.63683- 4 4.28541- 3 3.00000+ 1 3.43432- 4 4.31933- 3 4.30000+ 1 5.99254- 5 4.43401- 3 4.40000+ 1 3.92582- 5 4.43806- 3 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 1.73805- 2 5.89400- 5 1.00000+ 1 2.50000+ 1 2.30149- 2 6.62300- 5 1.00000+ 1 2.70000+ 1 1.30860- 2 8.84100- 5 1.00000+ 1 2.90000+ 1 1.31028- 2 1.37810- 4 1.00000+ 1 3.00000+ 1 1.65295- 2 1.71730- 4 1.00000+ 1 3.20000+ 1 8.45394- 3 2.43610- 4 1.00000+ 1 3.30000+ 1 1.11737- 2 2.48260- 4 1.00000+ 1 4.10000+ 1 1.96760- 3 2.74380- 4 1.00000+ 1 4.30000+ 1 1.45018- 3 2.86410- 4 1.00000+ 1 4.40000+ 1 1.57151- 3 2.90460- 4 1.10000+ 1 1.80000+ 1 5.55780- 2 0.00000+ 0 1.10000+ 1 1.90000+ 1 5.05951- 2 1.50410- 4 1.10000+ 1 2.10000+ 1 1.40897- 2 3.70300- 4 1.10000+ 1 2.20000+ 1 2.75358- 2 3.99980- 4 1.10000+ 1 2.40000+ 1 1.86126- 1 6.88640- 4 1.10000+ 1 2.50000+ 1 2.28284- 1 6.95930- 4 1.10000+ 1 2.70000+ 1 1.09965- 2 7.18110- 4 1.10000+ 1 2.90000+ 1 1.08208- 2 7.67510- 4 1.10000+ 1 3.00000+ 1 1.01484- 2 8.01430- 4 1.10000+ 1 3.20000+ 1 2.24463- 3 8.73310- 4 1.10000+ 1 3.30000+ 1 4.35862- 3 8.77960- 4 1.10000+ 1 4.10000+ 1 1.69331- 3 9.04080- 4 1.10000+ 1 4.30000+ 1 1.22998- 3 9.16110- 4 1.10000+ 1 4.40000+ 1 9.92823- 4 9.20160- 4 1.30000+ 1 1.60000+ 1 2.57559- 2 3.53400- 4 1.30000+ 1 1.80000+ 1 5.52872- 3 4.87590- 4 1.30000+ 1 1.90000+ 1 7.81503- 3 6.46710- 4 1.30000+ 1 2.10000+ 1 8.84429- 3 8.66600- 4 1.30000+ 1 2.20000+ 1 1.07853- 2 8.96280- 4 1.30000+ 1 2.40000+ 1 9.47518- 3 1.18494- 3 1.30000+ 1 2.50000+ 1 8.80115- 3 1.19223- 3 1.30000+ 1 2.70000+ 1 3.74860- 3 1.21441- 3 1.30000+ 1 2.90000+ 1 9.09823- 4 1.26381- 3 1.30000+ 1 3.00000+ 1 1.20589- 3 1.29773- 3 1.30000+ 1 3.20000+ 1 1.10716- 3 1.36961- 3 1.30000+ 1 3.30000+ 1 1.44591- 3 1.37426- 3 1.30000+ 1 4.10000+ 1 5.38418- 4 1.40038- 3 1.30000+ 1 4.30000+ 1 1.01998- 4 1.41241- 3 1.30000+ 1 4.40000+ 1 1.14162- 4 1.41646- 3 1.40000+ 1 1.60000+ 1 3.55291- 2 4.85700- 4 1.40000+ 1 1.80000+ 1 8.91910- 4 6.19890- 4 1.40000+ 1 1.90000+ 1 1.13612- 2 7.79010- 4 1.40000+ 1 2.10000+ 1 1.22181- 2 9.98900- 4 1.40000+ 1 2.20000+ 1 1.70438- 2 1.02858- 3 1.40000+ 1 2.40000+ 1 1.09535- 2 1.31724- 3 1.40000+ 1 2.50000+ 1 1.67862- 2 1.32453- 3 1.40000+ 1 2.70000+ 1 5.10437- 3 1.34671- 3 1.40000+ 1 2.90000+ 1 1.92119- 4 1.39611- 3 1.40000+ 1 3.00000+ 1 1.73399- 3 1.43003- 3 1.40000+ 1 3.20000+ 1 1.67980- 3 1.50191- 3 1.40000+ 1 3.30000+ 1 2.19831- 3 1.50656- 3 1.40000+ 1 4.10000+ 1 7.31482- 4 1.53268- 3 1.40000+ 1 4.30000+ 1 2.29398- 5 1.54471- 3 1.40000+ 1 4.40000+ 1 1.63853- 4 1.54876- 3 1.60000+ 1 1.60000+ 1 2.26586- 3 2.30230- 3 1.60000+ 1 1.80000+ 1 3.98717- 3 2.43649- 3 1.60000+ 1 1.90000+ 1 6.41703- 3 2.59561- 3 1.60000+ 1 2.10000+ 1 7.58683- 3 2.81550- 3 1.60000+ 1 2.20000+ 1 1.06015- 2 2.84518- 3 1.60000+ 1 2.40000+ 1 5.63268- 3 3.13384- 3 1.60000+ 1 2.50000+ 1 7.02589- 3 3.14113- 3 1.60000+ 1 2.70000+ 1 8.53208- 4 3.16331- 3 1.60000+ 1 2.90000+ 1 8.41941- 4 3.21271- 3 1.60000+ 1 3.00000+ 1 1.32106- 3 3.24663- 3 1.60000+ 1 3.20000+ 1 1.14212- 3 3.31851- 3 1.60000+ 1 3.30000+ 1 1.56960- 3 3.32316- 3 1.60000+ 1 4.10000+ 1 1.30106- 4 3.34928- 3 1.60000+ 1 4.30000+ 1 9.78549- 5 3.36131- 3 1.60000+ 1 4.40000+ 1 1.30417- 4 3.36536- 3 1.80000+ 1 1.80000+ 1 1.61394- 4 2.57068- 3 1.80000+ 1 1.90000+ 1 4.90063- 4 2.72980- 3 1.80000+ 1 2.10000+ 1 2.46697- 4 2.94969- 3 1.80000+ 1 2.20000+ 1 1.29143- 4 2.97937- 3 1.80000+ 1 2.40000+ 1 2.95465- 5 3.26803- 3 1.80000+ 1 2.50000+ 1 4.63692- 4 3.27532- 3 1.80000+ 1 2.70000+ 1 5.70117- 4 3.29750- 3 1.80000+ 1 2.90000+ 1 4.98803- 5 3.34690- 3 1.80000+ 1 3.00000+ 1 7.21210- 5 3.38082- 3 1.80000+ 1 3.20000+ 1 3.20893- 5 3.45270- 3 1.80000+ 1 3.30000+ 1 2.35109- 5 3.45735- 3 1.80000+ 1 4.10000+ 1 8.19697- 5 3.48347- 3 1.80000+ 1 4.30000+ 1 5.55990- 6 3.49550- 3 1.80000+ 1 4.40000+ 1 6.83089- 6 3.49955- 3 1.90000+ 1 1.90000+ 1 5.22318- 4 2.88892- 3 1.90000+ 1 2.10000+ 1 5.99031- 4 3.10881- 3 1.90000+ 1 2.20000+ 1 1.36300- 3 3.13849- 3 1.90000+ 1 2.40000+ 1 7.19470- 4 3.42715- 3 1.90000+ 1 2.50000+ 1 1.14994- 3 3.43444- 3 1.90000+ 1 2.70000+ 1 9.22339- 4 3.45662- 3 1.90000+ 1 2.90000+ 1 8.78498- 5 3.50602- 3 1.90000+ 1 3.00000+ 1 1.80772- 4 3.53994- 3 1.90000+ 1 3.20000+ 1 8.95957- 5 3.61182- 3 1.90000+ 1 3.30000+ 1 1.91901- 4 3.61647- 3 1.90000+ 1 4.10000+ 1 1.32647- 4 3.64259- 3 1.90000+ 1 4.30000+ 1 1.00080- 5 3.65462- 3 1.90000+ 1 4.40000+ 1 1.74741- 5 3.65867- 3 2.10000+ 1 2.10000+ 1 9.40427- 5 3.32870- 3 2.10000+ 1 2.20000+ 1 3.04677- 4 3.35838- 3 2.10000+ 1 2.40000+ 1 4.37325- 4 3.64704- 3 2.10000+ 1 2.50000+ 1 2.79616- 3 3.65433- 3 2.10000+ 1 2.70000+ 1 1.06338- 3 3.67651- 3 2.10000+ 1 2.90000+ 1 3.33598- 5 3.72591- 3 2.10000+ 1 3.00000+ 1 9.46788- 5 3.75983- 3 2.10000+ 1 3.20000+ 1 2.23993- 5 3.83171- 3 2.10000+ 1 3.30000+ 1 3.81263- 5 3.83636- 3 2.10000+ 1 4.10000+ 1 1.52034- 4 3.86248- 3 2.10000+ 1 4.30000+ 1 3.65367- 6 3.87451- 3 2.10000+ 1 4.40000+ 1 8.89592- 6 3.87856- 3 2.20000+ 1 2.20000+ 1 2.23672- 4 3.38806- 3 2.20000+ 1 2.40000+ 1 2.54050- 3 3.67672- 3 2.20000+ 1 2.50000+ 1 1.57858- 3 3.68401- 3 2.20000+ 1 2.70000+ 1 1.48003- 3 3.70619- 3 2.20000+ 1 2.90000+ 1 1.98574- 5 3.75559- 3 2.20000+ 1 3.00000+ 1 2.12701- 4 3.78951- 3 2.20000+ 1 3.20000+ 1 3.47889- 5 3.86139- 3 2.20000+ 1 3.30000+ 1 5.43293- 5 3.86604- 3 2.20000+ 1 4.10000+ 1 2.11438- 4 3.89216- 3 2.20000+ 1 4.30000+ 1 2.22397- 6 3.90419- 3 2.20000+ 1 4.40000+ 1 2.00147- 5 3.90824- 3 2.40000+ 1 2.40000+ 1 6.15699- 4 3.96538- 3 2.40000+ 1 2.50000+ 1 4.06116- 3 3.97267- 3 2.40000+ 1 2.70000+ 1 7.37183- 4 3.99485- 3 2.40000+ 1 2.90000+ 1 4.84673- 6 4.04425- 3 2.40000+ 1 3.00000+ 1 8.19115- 5 4.07817- 3 2.40000+ 1 3.20000+ 1 6.04240- 5 4.15005- 3 2.40000+ 1 3.30000+ 1 3.85313- 4 4.15470- 3 2.40000+ 1 4.10000+ 1 1.03880- 4 4.18082- 3 2.40000+ 1 4.30000+ 1 6.46221- 7 4.19285- 3 2.40000+ 1 4.40000+ 1 7.27020- 6 4.19690- 3 2.50000+ 1 2.50000+ 1 1.39754- 3 3.97996- 3 2.50000+ 1 2.70000+ 1 9.12807- 4 4.00214- 3 2.50000+ 1 2.90000+ 1 8.64267- 5 4.05154- 3 2.50000+ 1 3.00000+ 1 1.40731- 4 4.08546- 3 2.50000+ 1 3.20000+ 1 4.15279- 4 4.15734- 3 2.50000+ 1 3.30000+ 1 2.27311- 4 4.16199- 3 2.50000+ 1 4.10000+ 1 1.28673- 4 4.18811- 3 2.50000+ 1 4.30000+ 1 9.79978- 6 4.20014- 3 2.50000+ 1 4.40000+ 1 1.28522- 5 4.20419- 3 2.70000+ 1 2.70000+ 1 7.91739- 5 4.02432- 3 2.70000+ 1 2.90000+ 1 1.29520- 4 4.07372- 3 2.70000+ 1 3.00000+ 1 2.02765- 4 4.10764- 3 2.70000+ 1 3.20000+ 1 1.71922- 4 4.17952- 3 2.70000+ 1 3.30000+ 1 2.35323- 4 4.18417- 3 2.70000+ 1 4.10000+ 1 2.39063- 5 4.21029- 3 2.70000+ 1 4.30000+ 1 1.50899- 5 4.22232- 3 2.70000+ 1 4.40000+ 1 2.00054- 5 4.22637- 3 2.90000+ 1 2.90000+ 1 4.85630- 6 4.12312- 3 2.90000+ 1 3.00000+ 1 1.59843- 5 4.15704- 3 2.90000+ 1 3.20000+ 1 5.46314- 6 4.22892- 3 2.90000+ 1 3.30000+ 1 4.85630- 6 4.23357- 3 2.90000+ 1 4.10000+ 1 2.22574- 5 4.25969- 3 2.90000+ 1 4.30000+ 1 1.01167- 6 4.27172- 3 2.90000+ 1 4.40000+ 1 1.41634- 6 4.27577- 3 3.00000+ 1 3.00000+ 1 1.90776- 5 4.19096- 3 3.00000+ 1 3.20000+ 1 1.80729- 5 4.26284- 3 3.00000+ 1 3.30000+ 1 3.81568- 5 4.26749- 3 3.00000+ 1 4.10000+ 1 3.45414- 5 4.29361- 3 3.00000+ 1 4.30000+ 1 1.80729- 6 4.30564- 3 3.00000+ 1 4.40000+ 1 3.61473- 6 4.30969- 3 3.20000+ 1 3.20000+ 1 1.42582- 6 4.33472- 3 3.20000+ 1 3.30000+ 1 4.99018- 6 4.33937- 3 3.20000+ 1 4.10000+ 1 2.58427- 5 4.36549- 3 3.20000+ 1 4.30000+ 1 5.34661- 7 4.37752- 3 3.20000+ 1 4.40000+ 1 1.60390- 6 4.38157- 3 3.30000+ 1 3.30000+ 1 3.56351- 6 4.34402- 3 3.30000+ 1 4.10000+ 1 3.52782- 5 4.37014- 3 3.30000+ 1 4.30000+ 1 5.34513- 7 4.38217- 3 3.30000+ 1 4.40000+ 1 3.20706- 6 4.38622- 3 4.10000+ 1 4.10000+ 1 1.74742- 6 4.39626- 3 4.10000+ 1 4.30000+ 1 2.06511- 6 4.40829- 3 4.10000+ 1 4.40000+ 1 2.70051- 6 4.41234- 3 4.30000+ 1 4.40000+ 1 1.58851- 7 4.42437- 3 4.40000+ 1 4.40000+ 1 1.58851- 7 4.42842- 3 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.31590- 3 1.12600- 3 1.60000+ 1 8.49768- 4 3.07490- 3 2.10000+ 1 4.44249- 3 3.58810- 3 2.70000+ 1 2.01819- 4 3.93591- 3 3.20000+ 1 8.37028- 4 4.09111- 3 4.10000+ 1 3.35009- 5 4.12188- 3 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 5.97714- 3 7.02000- 5 1.10000+ 1 2.20000+ 1 1.47543- 2 9.98800- 5 1.10000+ 1 2.40000+ 1 2.85828- 2 3.88540- 4 1.10000+ 1 2.50000+ 1 2.48810- 2 3.95830- 4 1.10000+ 1 2.70000+ 1 3.09962- 3 4.18010- 4 1.10000+ 1 2.90000+ 1 4.15596- 3 4.67410- 4 1.10000+ 1 3.00000+ 1 2.25038- 3 5.01330- 4 1.10000+ 1 3.20000+ 1 1.27895- 3 5.73210- 4 1.10000+ 1 3.30000+ 1 2.50096- 3 5.77860- 4 1.10000+ 1 4.10000+ 1 4.55227- 4 6.03980- 4 1.10000+ 1 4.30000+ 1 4.39687- 4 6.16010- 4 1.10000+ 1 4.40000+ 1 2.08730- 4 6.20060- 4 1.30000+ 1 1.60000+ 1 4.75948- 2 5.33000- 5 1.30000+ 1 1.80000+ 1 4.91014- 2 1.87490- 4 1.30000+ 1 1.90000+ 1 4.02293- 2 3.46610- 4 1.30000+ 1 2.10000+ 1 1.73301- 2 5.66500- 4 1.30000+ 1 2.20000+ 1 2.35731- 2 5.96180- 4 1.30000+ 1 2.40000+ 1 1.45007- 1 8.84840- 4 1.30000+ 1 2.50000+ 1 2.25826- 1 8.92130- 4 1.30000+ 1 2.70000+ 1 1.08024- 2 9.14310- 4 1.30000+ 1 2.90000+ 1 8.62118- 3 9.63710- 4 1.30000+ 1 3.00000+ 1 7.94058- 3 9.97630- 4 1.30000+ 1 3.20000+ 1 2.74940- 3 1.06951- 3 1.30000+ 1 3.30000+ 1 3.81282- 3 1.07416- 3 1.30000+ 1 4.10000+ 1 1.67322- 3 1.10028- 3 1.30000+ 1 4.30000+ 1 9.72465- 4 1.11231- 3 1.30000+ 1 4.40000+ 1 7.74592- 4 1.11636- 3 1.40000+ 1 1.60000+ 1 7.49279- 3 1.85600- 4 1.40000+ 1 1.80000+ 1 5.54501- 2 3.19790- 4 1.40000+ 1 1.90000+ 1 4.67714- 3 4.78910- 4 1.40000+ 1 2.10000+ 1 1.25246- 3 6.98800- 4 1.40000+ 1 2.20000+ 1 2.68079- 3 7.28480- 4 1.40000+ 1 2.40000+ 1 6.69869- 3 1.01714- 3 1.40000+ 1 2.50000+ 1 4.32102- 3 1.02443- 3 1.40000+ 1 2.70000+ 1 1.12502- 3 1.04661- 3 1.40000+ 1 2.90000+ 1 7.53274- 3 1.09601- 3 1.40000+ 1 3.00000+ 1 8.07014- 4 1.12993- 3 1.40000+ 1 3.20000+ 1 8.79101- 5 1.20181- 3 1.40000+ 1 3.30000+ 1 3.65817- 4 1.20646- 3 1.40000+ 1 4.10000+ 1 1.63274- 4 1.23258- 3 1.40000+ 1 4.30000+ 1 8.11552- 4 1.24461- 3 1.40000+ 1 4.40000+ 1 7.73784- 5 1.24866- 3 1.60000+ 1 1.60000+ 1 6.54492- 4 2.00220- 3 1.60000+ 1 1.80000+ 1 9.83534- 3 2.13639- 3 1.60000+ 1 1.90000+ 1 1.29480- 3 2.29551- 3 1.60000+ 1 2.10000+ 1 3.56013- 4 2.51540- 3 1.60000+ 1 2.20000+ 1 1.14142- 3 2.54508- 3 1.60000+ 1 2.40000+ 1 5.33610- 5 2.83374- 3 1.60000+ 1 2.50000+ 1 8.38761- 4 2.84103- 3 1.60000+ 1 2.70000+ 1 2.30117- 4 2.86321- 3 1.60000+ 1 2.90000+ 1 1.30816- 3 2.91261- 3 1.60000+ 1 3.00000+ 1 2.39715- 4 2.94653- 3 1.60000+ 1 3.20000+ 1 3.75191- 5 3.01841- 3 1.60000+ 1 3.30000+ 1 1.53417- 4 3.02306- 3 1.60000+ 1 4.10000+ 1 3.46003- 5 3.04918- 3 1.60000+ 1 4.30000+ 1 1.40903- 4 3.06121- 3 1.60000+ 1 4.40000+ 1 2.33454- 5 3.06526- 3 1.80000+ 1 1.80000+ 1 7.64027- 3 2.27058- 3 1.80000+ 1 1.90000+ 1 2.09586- 2 2.42970- 3 1.80000+ 1 2.10000+ 1 2.11425- 2 2.64959- 3 1.80000+ 1 2.20000+ 1 3.33615- 2 2.67927- 3 1.80000+ 1 2.40000+ 1 1.29268- 2 2.96793- 3 1.80000+ 1 2.50000+ 1 2.14309- 2 2.97522- 3 1.80000+ 1 2.70000+ 1 2.25537- 3 2.99740- 3 1.80000+ 1 2.90000+ 1 2.67252- 3 3.04680- 3 1.80000+ 1 3.00000+ 1 4.27614- 3 3.08072- 3 1.80000+ 1 3.20000+ 1 3.19494- 3 3.15260- 3 1.80000+ 1 3.30000+ 1 4.89176- 3 3.15725- 3 1.80000+ 1 4.10000+ 1 3.53935- 4 3.18337- 3 1.80000+ 1 4.30000+ 1 3.03070- 4 3.19540- 3 1.80000+ 1 4.40000+ 1 4.21457- 4 3.19945- 3 1.90000+ 1 1.90000+ 1 5.49463- 4 2.58882- 3 1.90000+ 1 2.10000+ 1 1.31818- 3 2.80871- 3 1.90000+ 1 2.20000+ 1 1.18936- 3 2.83839- 3 1.90000+ 1 2.40000+ 1 8.63984- 3 3.12705- 3 1.90000+ 1 2.50000+ 1 2.38667- 3 3.13434- 3 1.90000+ 1 2.70000+ 1 1.89270- 4 3.15652- 3 1.90000+ 1 2.90000+ 1 2.84730- 3 3.20592- 3 1.90000+ 1 3.00000+ 1 1.89270- 4 3.23984- 3 1.90000+ 1 3.20000+ 1 1.57159- 4 3.31172- 3 1.90000+ 1 3.30000+ 1 1.55917- 4 3.31637- 3 1.90000+ 1 4.10000+ 1 2.75131- 5 3.34249- 3 1.90000+ 1 4.30000+ 1 3.07654- 4 3.35452- 3 1.90000+ 1 4.40000+ 1 1.83435- 5 3.35857- 3 2.10000+ 1 2.10000+ 1 7.58715- 4 3.02860- 3 2.10000+ 1 2.20000+ 1 1.63717- 3 3.05828- 3 2.10000+ 1 2.40000+ 1 9.02975- 4 3.34694- 3 2.10000+ 1 2.50000+ 1 1.43075- 3 3.35423- 3 2.10000+ 1 2.70000+ 1 7.83747- 5 3.37641- 3 2.10000+ 1 2.90000+ 1 2.79006- 3 3.42581- 3 2.10000+ 1 3.00000+ 1 2.45128- 4 3.45973- 3 2.10000+ 1 3.20000+ 1 1.87602- 4 3.53161- 3 2.10000+ 1 3.30000+ 1 2.20976- 4 3.53626- 3 2.10000+ 1 4.10000+ 1 1.20898- 5 3.56238- 3 2.10000+ 1 4.30000+ 1 3.00166- 4 3.57441- 3 2.10000+ 1 4.40000+ 1 2.37615- 5 3.57846- 3 2.20000+ 1 2.20000+ 1 4.33147- 4 3.08796- 3 2.20000+ 1 2.40000+ 1 2.33525- 3 3.37662- 3 2.20000+ 1 2.50000+ 1 5.57367- 4 3.38391- 3 2.20000+ 1 2.70000+ 1 2.07198- 4 3.40609- 3 2.20000+ 1 2.90000+ 1 4.45933- 3 3.45549- 3 2.20000+ 1 3.00000+ 1 1.86759- 4 3.48941- 3 2.20000+ 1 3.20000+ 1 2.00103- 4 3.56129- 3 2.20000+ 1 3.30000+ 1 1.07973- 4 3.56594- 3 2.20000+ 1 4.10000+ 1 3.12650- 5 3.59206- 3 2.20000+ 1 4.30000+ 1 4.80675- 4 3.60409- 3 2.20000+ 1 4.40000+ 1 1.75087- 5 3.60814- 3 2.40000+ 1 2.40000+ 1 3.32565- 3 3.66528- 3 2.40000+ 1 2.50000+ 1 2.12701- 2 3.67257- 3 2.40000+ 1 2.70000+ 1 7.50395- 6 3.69475- 3 2.40000+ 1 2.90000+ 1 1.57454- 3 3.74415- 3 2.40000+ 1 3.00000+ 1 1.65543- 3 3.77807- 3 2.40000+ 1 3.20000+ 1 1.50916- 4 3.84995- 3 2.40000+ 1 3.30000+ 1 4.00220- 4 3.85460- 3 2.40000+ 1 4.10000+ 1 1.25068- 6 3.88072- 3 2.40000+ 1 4.30000+ 1 1.68010- 4 3.89275- 3 2.40000+ 1 4.40000+ 1 1.61346- 4 3.89680- 3 2.50000+ 1 2.50000+ 1 1.11183- 3 3.67986- 3 2.50000+ 1 2.70000+ 1 1.57586- 4 3.70204- 3 2.50000+ 1 2.90000+ 1 2.55347- 3 3.75144- 3 2.50000+ 1 3.00000+ 1 4.07289- 4 3.78536- 3 2.50000+ 1 3.20000+ 1 2.25944- 4 3.85724- 3 2.50000+ 1 3.30000+ 1 8.62945- 5 3.86189- 3 2.50000+ 1 4.10000+ 1 2.37611- 5 3.88801- 3 2.50000+ 1 4.30000+ 1 2.69726- 4 3.90004- 3 2.50000+ 1 4.40000+ 1 3.91856- 5 3.90409- 3 2.70000+ 1 2.70000+ 1 2.00669- 5 3.72422- 3 2.70000+ 1 2.90000+ 1 3.02677- 4 3.77362- 3 2.70000+ 1 3.00000+ 1 3.51159- 5 3.80754- 3 2.70000+ 1 3.20000+ 1 7.94315- 6 3.87942- 3 2.70000+ 1 3.30000+ 1 2.84286- 5 3.88407- 3 2.70000+ 1 4.10000+ 1 5.85301- 6 3.91019- 3 2.70000+ 1 4.30000+ 1 3.26098- 5 3.92222- 3 2.70000+ 1 4.40000+ 1 3.34473- 6 3.92627- 3 2.90000+ 1 2.90000+ 1 2.19622- 4 3.82302- 3 2.90000+ 1 3.00000+ 1 5.85765- 4 3.85694- 3 2.90000+ 1 3.20000+ 1 4.24607- 4 3.92882- 3 2.90000+ 1 3.30000+ 1 6.58821- 4 3.93347- 3 2.90000+ 1 4.10000+ 1 4.75955- 5 3.95959- 3 2.90000+ 1 4.30000+ 1 4.92660- 5 3.97162- 3 2.90000+ 1 4.40000+ 1 5.76173- 5 3.97567- 3 3.00000+ 1 3.00000+ 1 1.84422- 5 3.89086- 3 3.00000+ 1 3.20000+ 1 3.35768- 5 3.96274- 3 3.00000+ 1 3.30000+ 1 2.79001- 5 3.96739- 3 3.00000+ 1 4.10000+ 1 5.67475- 6 3.99351- 3 3.00000+ 1 4.30000+ 1 7.18756- 5 4.00554- 3 3.00000+ 1 4.40000+ 1 3.31007- 6 4.00959- 3 3.20000+ 1 3.20000+ 1 1.12558- 5 4.03462- 3 3.20000+ 1 3.30000+ 1 2.87639- 5 4.03927- 3 3.20000+ 1 4.10000+ 1 1.25067- 6 4.06539- 3 3.20000+ 1 4.30000+ 1 4.54413- 5 4.07742- 3 3.20000+ 1 4.40000+ 1 2.91815- 6 4.08147- 3 3.30000+ 1 3.30000+ 1 8.04607- 6 4.04392- 3 3.30000+ 1 4.10000+ 1 4.73322- 6 4.07004- 3 3.30000+ 1 4.30000+ 1 8.04607- 5 4.08207- 3 3.30000+ 1 4.40000+ 1 2.83972- 6 4.08612- 3 4.10000+ 1 4.10000+ 1 4.16894- 7 4.09616- 3 4.10000+ 1 4.30000+ 1 5.00280- 6 4.10819- 3 4.10000+ 1 4.40000+ 1 4.16894- 7 4.11224- 3 4.30000+ 1 4.30000+ 1 2.91815- 6 4.12022- 3 4.30000+ 1 4.40000+ 1 6.25323- 6 4.12427- 3 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.43640- 5 4.96300- 4 1.40000+ 1 2.79990- 4 6.28600- 4 1.60000+ 1 1.65870- 3 2.44520- 3 2.10000+ 1 7.99651- 4 2.95840- 3 2.20000+ 1 6.10141- 3 2.98808- 3 2.70000+ 1 3.79020- 4 3.30621- 3 3.20000+ 1 1.37780- 4 3.46141- 3 3.30000+ 1 1.06060- 3 3.46606- 3 4.10000+ 1 6.25411- 5 3.49218- 3 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 1.66146- 2 2.55140- 4 1.30000+ 1 2.50000+ 1 2.41941- 2 2.62430- 4 1.30000+ 1 2.70000+ 1 3.02048- 3 2.84610- 4 1.30000+ 1 2.90000+ 1 2.73028- 3 3.34010- 4 1.30000+ 1 3.00000+ 1 8.52216- 3 3.67930- 4 1.30000+ 1 3.20000+ 1 1.44758- 3 4.39810- 4 1.30000+ 1 3.30000+ 1 1.55341- 3 4.44460- 4 1.30000+ 1 4.10000+ 1 4.54101- 4 4.70580- 4 1.30000+ 1 4.30000+ 1 3.06286- 4 4.82610- 4 1.30000+ 1 4.40000+ 1 7.97025- 4 4.86660- 4 1.40000+ 1 2.10000+ 1 4.97448- 2 6.91000- 5 1.40000+ 1 2.20000+ 1 6.61105- 2 9.87800- 5 1.40000+ 1 2.40000+ 1 1.90662- 1 3.87440- 4 1.40000+ 1 2.50000+ 1 2.30464- 1 3.94730- 4 1.40000+ 1 2.70000+ 1 1.81691- 2 4.16910- 4 1.40000+ 1 2.90000+ 1 1.83491- 2 4.66310- 4 1.40000+ 1 3.00000+ 1 2.11554- 2 5.00230- 4 1.40000+ 1 3.20000+ 1 6.22287- 3 5.72110- 4 1.40000+ 1 3.30000+ 1 8.93178- 3 5.76760- 4 1.40000+ 1 4.10000+ 1 2.79211- 3 6.02880- 4 1.40000+ 1 4.30000+ 1 2.06696- 3 6.14910- 4 1.40000+ 1 4.40000+ 1 2.02210- 3 6.18960- 4 1.60000+ 1 1.60000+ 1 2.41021- 4 1.37250- 3 1.60000+ 1 1.80000+ 1 5.71556- 4 1.50669- 3 1.60000+ 1 1.90000+ 1 1.18850- 2 1.66581- 3 1.60000+ 1 2.10000+ 1 7.16860- 4 1.88570- 3 1.60000+ 1 2.20000+ 1 8.92912- 4 1.91538- 3 1.60000+ 1 2.40000+ 1 1.99007- 3 2.20404- 3 1.60000+ 1 2.50000+ 1 3.55924- 3 2.21133- 3 1.60000+ 1 2.70000+ 1 8.64798- 5 2.23351- 3 1.60000+ 1 2.90000+ 1 8.12126- 5 2.28291- 3 1.60000+ 1 3.00000+ 1 1.56368- 3 2.31683- 3 1.60000+ 1 3.20000+ 1 9.35054- 5 2.38871- 3 1.60000+ 1 3.30000+ 1 1.11942- 4 2.39336- 3 1.60000+ 1 4.10000+ 1 1.27305- 5 2.41948- 3 1.60000+ 1 4.30000+ 1 8.77981- 6 2.43151- 3 1.60000+ 1 4.40000+ 1 1.43987- 4 2.43556- 3 1.80000+ 1 1.80000+ 1 1.18531- 5 1.64088- 3 1.80000+ 1 1.90000+ 1 1.48152- 2 1.80000- 3 1.80000+ 1 2.10000+ 1 3.24868- 4 2.01989- 3 1.80000+ 1 2.20000+ 1 3.23732- 3 2.04957- 3 1.80000+ 1 2.40000+ 1 1.67788- 3 2.33823- 3 1.80000+ 1 2.50000+ 1 8.87107- 3 2.34552- 3 1.80000+ 1 2.70000+ 1 9.61404- 5 2.36770- 3 1.80000+ 1 2.90000+ 1 3.51214- 6 2.41710- 3 1.80000+ 1 3.00000+ 1 1.99575- 3 2.45102- 3 1.80000+ 1 3.20000+ 1 4.69728- 5 2.52290- 3 1.80000+ 1 3.30000+ 1 3.87640- 4 2.52755- 3 1.80000+ 1 4.10000+ 1 1.40482- 5 2.55367- 3 1.80000+ 1 4.30000+ 1 4.38999- 7 2.56570- 3 1.80000+ 1 4.40000+ 1 1.84372- 4 2.56975- 3 1.90000+ 1 1.90000+ 1 1.91973- 2 1.95912- 3 1.90000+ 1 2.10000+ 1 2.83088- 2 2.17901- 3 1.90000+ 1 2.20000+ 1 3.68596- 2 2.20869- 3 1.90000+ 1 2.40000+ 1 2.56400- 2 2.49735- 3 1.90000+ 1 2.50000+ 1 2.93222- 2 2.50464- 3 1.90000+ 1 2.70000+ 1 2.67455- 3 2.52682- 3 1.90000+ 1 2.90000+ 1 3.04782- 3 2.57622- 3 1.90000+ 1 3.00000+ 1 6.45663- 3 2.61014- 3 1.90000+ 1 3.20000+ 1 4.13083- 3 2.68202- 3 1.90000+ 1 3.30000+ 1 5.34115- 3 2.68667- 3 1.90000+ 1 4.10000+ 1 4.17914- 4 2.71279- 3 1.90000+ 1 4.30000+ 1 3.52945- 4 2.72482- 3 1.90000+ 1 4.40000+ 1 6.20291- 4 2.72887- 3 2.10000+ 1 2.10000+ 1 1.90968- 4 2.39890- 3 2.10000+ 1 2.20000+ 1 4.61110- 3 2.42858- 3 2.10000+ 1 2.40000+ 1 7.12919- 4 2.71724- 3 2.10000+ 1 2.50000+ 1 8.22992- 3 2.72453- 3 2.10000+ 1 2.70000+ 1 8.86774- 5 2.74671- 3 2.10000+ 1 2.90000+ 1 2.19494- 5 2.79611- 3 2.10000+ 1 3.00000+ 1 3.73635- 3 2.83003- 3 2.10000+ 1 3.20000+ 1 4.56549- 5 2.90191- 3 2.10000+ 1 3.30000+ 1 5.87810- 4 2.90656- 3 2.10000+ 1 4.10000+ 1 1.27307- 5 2.93268- 3 2.10000+ 1 4.30000+ 1 2.19494- 6 2.94471- 3 2.10000+ 1 4.40000+ 1 3.43738- 4 2.94876- 3 2.20000+ 1 2.20000+ 1 2.00750- 3 2.45826- 3 2.20000+ 1 2.40000+ 1 6.64014- 3 2.74692- 3 2.20000+ 1 2.50000+ 1 5.50402- 3 2.75421- 3 2.20000+ 1 2.70000+ 1 1.16338- 4 2.77639- 3 2.20000+ 1 2.90000+ 1 3.26209- 4 2.82579- 3 2.20000+ 1 3.00000+ 1 4.80179- 3 2.85971- 3 2.20000+ 1 3.20000+ 1 5.85640- 4 2.93159- 3 2.20000+ 1 3.30000+ 1 5.14102- 4 2.93624- 3 2.20000+ 1 4.10000+ 1 1.66825- 5 2.96236- 3 2.20000+ 1 4.30000+ 1 3.38021- 5 2.97439- 3 2.20000+ 1 4.40000+ 1 4.40792- 4 2.97844- 3 2.40000+ 1 2.40000+ 1 1.08697- 3 3.03558- 3 2.40000+ 1 2.50000+ 1 2.83934- 2 3.04287- 3 2.40000+ 1 2.70000+ 1 2.19501- 4 3.06505- 3 2.40000+ 1 2.90000+ 1 2.84492- 4 3.11445- 3 2.40000+ 1 3.00000+ 1 3.22307- 3 3.14837- 3 2.40000+ 1 3.20000+ 1 1.20287- 4 3.22025- 3 2.40000+ 1 3.30000+ 1 9.03030- 4 3.22490- 3 2.40000+ 1 4.10000+ 1 3.07304- 5 3.25102- 3 2.40000+ 1 4.30000+ 1 3.20467- 5 3.26305- 3 2.40000+ 1 4.40000+ 1 2.94554- 4 3.26710- 3 2.50000+ 1 2.50000+ 1 1.12551- 2 3.05016- 3 2.50000+ 1 2.70000+ 1 3.52505- 4 3.07234- 3 2.50000+ 1 2.90000+ 1 1.48511- 3 3.12174- 3 2.50000+ 1 3.00000+ 1 3.83900- 3 3.15566- 3 2.50000+ 1 3.20000+ 1 1.18791- 3 3.22754- 3 2.50000+ 1 3.30000+ 1 8.13460- 4 3.23219- 3 2.50000+ 1 4.10000+ 1 4.78516- 5 3.25831- 3 2.50000+ 1 4.30000+ 1 1.66381- 4 3.27034- 3 2.50000+ 1 4.40000+ 1 3.54704- 4 3.27439- 3 2.70000+ 1 2.70000+ 1 9.62818- 6 3.09452- 3 2.70000+ 1 2.90000+ 1 1.58861- 5 3.14392- 3 2.70000+ 1 3.00000+ 1 3.87548- 4 3.17784- 3 2.70000+ 1 3.20000+ 1 1.39606- 5 3.24972- 3 2.70000+ 1 3.30000+ 1 1.68492- 5 3.25437- 3 2.70000+ 1 4.10000+ 1 2.88831- 6 3.28049- 3 2.70000+ 1 4.30000+ 1 1.92556- 6 3.29252- 3 2.70000+ 1 4.40000+ 1 3.56244- 5 3.29657- 3 2.90000+ 1 3.00000+ 1 4.38442- 4 3.22724- 3 2.90000+ 1 3.20000+ 1 2.79547- 6 3.29912- 3 2.90000+ 1 3.30000+ 1 4.37982- 5 3.30377- 3 2.90000+ 1 4.10000+ 1 2.32964- 6 3.32989- 3 2.90000+ 1 4.40000+ 1 4.05350- 5 3.34597- 3 3.00000+ 1 3.00000+ 1 5.92360- 4 3.26116- 3 3.00000+ 1 3.20000+ 1 6.27083- 4 3.33304- 3 3.00000+ 1 3.30000+ 1 7.99541- 4 3.33769- 3 3.00000+ 1 4.10000+ 1 6.33591- 5 3.36381- 3 3.00000+ 1 4.30000+ 1 5.48133- 5 3.37584- 3 3.00000+ 1 4.40000+ 1 1.13145- 4 3.37989- 3 3.20000+ 1 3.20000+ 1 2.63388- 6 3.40492- 3 3.20000+ 1 3.30000+ 1 7.98965- 5 3.40957- 3 3.20000+ 1 4.10000+ 1 1.75594- 6 3.43569- 3 3.20000+ 1 4.30000+ 1 4.38992- 7 3.44772- 3 3.20000+ 1 4.40000+ 1 5.04849- 5 3.45177- 3 3.30000+ 1 3.30000+ 1 3.46808- 5 3.41422- 3 3.30000+ 1 4.10000+ 1 2.19497- 6 3.44034- 3 3.30000+ 1 4.30000+ 1 4.38992- 6 3.45237- 3 3.30000+ 1 4.40000+ 1 6.40944- 5 3.45642- 3 4.10000+ 1 4.30000+ 1 4.38988- 7 3.47849- 3 4.10000+ 1 4.40000+ 1 5.26792- 6 3.48254- 3 4.30000+ 1 4.40000+ 1 4.38990- 6 3.49457- 3 4.40000+ 1 4.40000+ 1 4.82900- 6 3.49862- 3 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.08950- 3 2.08309- 3 1.90000+ 1 2.00810- 4 2.24221- 3 2.40000+ 1 4.07020- 2 2.78044- 3 2.90000+ 1 5.08760- 4 2.85931- 3 3.00000+ 1 4.90800- 5 2.89323- 3 4.30000+ 1 4.61020- 5 3.00791- 3 4.40000+ 1 3.91230- 6 3.01196- 3 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.00000+ 1 9.26532- 3 3.93000- 6 1.40000+ 1 3.20000+ 1 4.87239- 2 7.58100- 5 1.40000+ 1 3.30000+ 1 6.94926- 3 8.04600- 5 1.40000+ 1 4.10000+ 1 8.56855- 4 1.06580- 4 1.40000+ 1 4.30000+ 1 3.90496- 4 1.18610- 4 1.40000+ 1 4.40000+ 1 7.42114- 4 1.22660- 4 1.60000+ 1 1.60000+ 1 1.85068- 5 8.76200- 4 1.60000+ 1 1.80000+ 1 9.98435- 4 1.01039- 3 1.60000+ 1 1.90000+ 1 8.22623- 4 1.16951- 3 1.60000+ 1 2.10000+ 1 3.14708- 2 1.38940- 3 1.60000+ 1 2.20000+ 1 3.64958- 3 1.41908- 3 1.60000+ 1 2.40000+ 1 1.55649- 2 1.70774- 3 1.60000+ 1 2.50000+ 1 3.98082- 3 1.71503- 3 1.60000+ 1 2.70000+ 1 1.85068- 5 1.73721- 3 1.60000+ 1 2.90000+ 1 1.69334- 4 1.78661- 3 1.60000+ 1 3.00000+ 1 1.11045- 4 1.82053- 3 1.60000+ 1 3.20000+ 1 3.23970- 3 1.89241- 3 1.60000+ 1 3.30000+ 1 3.93281- 4 1.89706- 3 1.60000+ 1 4.10000+ 1 2.77607- 6 1.92318- 3 1.60000+ 1 4.30000+ 1 1.85068- 5 1.93521- 3 1.60000+ 1 4.40000+ 1 1.01792- 5 1.93926- 3 1.80000+ 1 1.80000+ 1 5.59808- 4 1.14458- 3 1.80000+ 1 1.90000+ 1 3.98445- 3 1.30370- 3 1.80000+ 1 2.10000+ 1 2.83358- 2 1.52359- 3 1.80000+ 1 2.20000+ 1 1.85165- 3 1.55327- 3 1.80000+ 1 2.40000+ 1 1.06283- 2 1.84193- 3 1.80000+ 1 2.50000+ 1 5.46679- 3 1.84922- 3 1.80000+ 1 2.70000+ 1 1.38801- 4 1.87140- 3 1.80000+ 1 2.90000+ 1 1.87838- 4 1.92080- 3 1.80000+ 1 3.00000+ 1 5.99632- 4 1.95472- 3 1.80000+ 1 3.20000+ 1 2.89530- 3 2.02660- 3 1.80000+ 1 3.30000+ 1 2.28556- 4 2.03125- 3 1.80000+ 1 4.10000+ 1 2.03571- 5 2.05737- 3 1.80000+ 1 4.30000+ 1 2.12824- 5 2.06940- 3 1.80000+ 1 4.40000+ 1 5.64459- 5 2.07345- 3 1.90000+ 1 1.90000+ 1 1.40284- 3 1.46282- 3 1.90000+ 1 2.10000+ 1 5.59506- 2 1.68271- 3 1.90000+ 1 2.20000+ 1 2.12736- 3 1.71239- 3 1.90000+ 1 2.40000+ 1 2.73075- 3 2.00105- 3 1.90000+ 1 2.50000+ 1 1.92283- 3 2.00834- 3 1.90000+ 1 2.70000+ 1 1.41575- 4 2.03052- 3 1.90000+ 1 2.90000+ 1 5.20974- 4 2.07992- 3 1.90000+ 1 3.00000+ 1 4.03449- 4 2.11384- 3 1.90000+ 1 3.20000+ 1 5.77326- 3 2.18572- 3 1.90000+ 1 3.30000+ 1 2.40585- 4 2.19037- 3 1.90000+ 1 4.10000+ 1 2.12826- 5 2.21649- 3 1.90000+ 1 4.30000+ 1 5.55183- 5 2.22852- 3 1.90000+ 1 4.40000+ 1 3.79369- 5 2.23257- 3 2.10000+ 1 2.10000+ 1 5.09173- 2 1.90260- 3 2.10000+ 1 2.20000+ 1 1.00509- 1 1.93228- 3 2.10000+ 1 2.40000+ 1 5.75424- 2 2.22094- 3 2.10000+ 1 2.50000+ 1 6.88286- 2 2.22823- 3 2.10000+ 1 2.70000+ 1 6.49486- 3 2.25041- 3 2.10000+ 1 2.90000+ 1 5.88344- 3 2.29981- 3 2.10000+ 1 3.00000+ 1 1.10885- 2 2.33373- 3 2.10000+ 1 3.20000+ 1 1.27930- 2 2.40561- 3 2.10000+ 1 3.30000+ 1 1.43890- 2 2.41026- 3 2.10000+ 1 4.10000+ 1 1.00400- 3 2.43638- 3 2.10000+ 1 4.30000+ 1 6.81955- 4 2.44841- 3 2.10000+ 1 4.40000+ 1 1.08728- 3 2.45246- 3 2.20000+ 1 2.20000+ 1 1.59992- 3 1.96196- 3 2.20000+ 1 2.40000+ 1 6.61416- 2 2.25062- 3 2.20000+ 1 2.50000+ 1 3.23493- 3 2.25791- 3 2.20000+ 1 2.70000+ 1 3.93281- 4 2.28009- 3 2.20000+ 1 2.90000+ 1 2.32266- 4 2.32949- 3 2.20000+ 1 3.00000+ 1 3.38679- 4 2.36341- 3 2.20000+ 1 3.20000+ 1 1.04326- 2 2.43529- 3 2.20000+ 1 3.30000+ 1 3.75701- 4 2.43994- 3 2.20000+ 1 4.10000+ 1 5.45940- 5 2.46606- 3 2.20000+ 1 4.30000+ 1 2.49848- 5 2.47809- 3 2.20000+ 1 4.40000+ 1 3.23871- 5 2.48214- 3 2.40000+ 1 2.40000+ 1 6.39420- 2 2.53928- 3 2.40000+ 1 2.50000+ 1 1.84331- 1 2.54657- 3 2.40000+ 1 2.70000+ 1 3.40606- 3 2.56875- 3 2.40000+ 1 2.90000+ 1 1.79611- 3 2.61815- 3 2.40000+ 1 3.00000+ 1 5.58898- 4 2.65207- 3 2.40000+ 1 3.20000+ 1 6.48295- 3 2.72395- 3 2.40000+ 1 3.30000+ 1 9.03131- 3 2.72860- 3 2.40000+ 1 4.10000+ 1 5.31139- 4 2.75472- 3 2.40000+ 1 4.30000+ 1 2.04507- 4 2.76675- 3 2.40000+ 1 4.40000+ 1 5.55181- 5 2.77080- 3 2.50000+ 1 2.50000+ 1 3.84595- 3 2.55386- 3 2.50000+ 1 2.70000+ 1 6.17233- 4 2.57604- 3 2.50000+ 1 2.90000+ 1 4.83952- 4 2.62544- 3 2.50000+ 1 3.00000+ 1 3.46091- 4 2.65936- 3 2.50000+ 1 3.20000+ 1 6.56709- 3 2.73124- 3 2.50000+ 1 3.30000+ 1 4.13635- 4 2.73589- 3 2.50000+ 1 4.10000+ 1 8.97588- 5 2.76201- 3 2.50000+ 1 4.30000+ 1 4.99696- 5 2.77404- 3 2.50000+ 1 4.40000+ 1 3.33131- 5 2.77809- 3 2.70000+ 1 2.70000+ 1 1.92845- 6 2.59822- 3 2.70000+ 1 2.90000+ 1 2.69989- 5 2.64762- 3 2.70000+ 1 3.00000+ 1 2.12128- 5 2.68154- 3 2.70000+ 1 3.20000+ 1 7.02934- 4 2.75342- 3 2.70000+ 1 3.30000+ 1 4.82097- 5 2.75807- 3 2.70000+ 1 4.10000+ 1 9.64234- 7 2.78419- 3 2.70000+ 1 4.30000+ 1 2.89273- 6 2.79622- 3 2.70000+ 1 4.40000+ 1 1.92845- 6 2.80027- 3 2.90000+ 1 2.90000+ 1 1.91935- 5 2.69702- 3 2.90000+ 1 3.00000+ 1 9.70342- 5 2.73094- 3 2.90000+ 1 3.20000+ 1 6.96314- 4 2.80282- 3 2.90000+ 1 3.30000+ 1 3.73210- 5 2.80747- 3 2.90000+ 1 4.10000+ 1 4.26510- 6 2.83359- 3 2.90000+ 1 4.30000+ 1 4.26510- 6 2.84562- 3 2.90000+ 1 4.40000+ 1 9.59691- 6 2.84967- 3 3.00000+ 1 3.00000+ 1 3.64551- 5 2.76486- 3 3.00000+ 1 3.20000+ 1 1.41947- 3 2.83674- 3 3.00000+ 1 3.30000+ 1 5.01260- 5 2.84139- 3 3.00000+ 1 4.10000+ 1 3.41768- 6 2.86751- 3 3.00000+ 1 4.30000+ 1 1.13922- 5 2.87954- 3 3.00000+ 1 4.40000+ 1 6.83499- 6 2.88359- 3 3.20000+ 1 3.20000+ 1 7.76368- 4 2.90862- 3 3.20000+ 1 3.30000+ 1 1.50184- 3 2.91327- 3 3.20000+ 1 4.10000+ 1 1.04567- 4 2.93939- 3 3.20000+ 1 4.30000+ 1 7.03258- 5 2.95142- 3 3.20000+ 1 4.40000+ 1 1.12895- 4 2.95547- 3 3.30000+ 1 3.30000+ 1 3.77977- 5 2.91792- 3 3.30000+ 1 4.10000+ 1 1.10242- 5 2.94404- 3 3.30000+ 1 4.30000+ 1 6.29952- 6 2.95607- 3 3.30000+ 1 4.40000+ 1 6.29952- 6 2.96012- 3 4.30000+ 1 4.40000+ 1 1.24770- 6 2.99827- 3 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.51779- 3 2.10991- 3 2.40000+ 1 2.00159- 3 2.64814- 3 2.50000+ 1 3.91468- 2 2.65543- 3 3.00000+ 1 3.55578- 4 2.76093- 3 4.40000+ 1 2.92778- 5 2.87966- 3 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 9.38188- 7 7.43900- 4 1.60000+ 1 1.80000+ 1 2.41117- 4 8.78090- 4 1.60000+ 1 1.90000+ 1 1.83881- 3 1.03721- 3 1.60000+ 1 2.10000+ 1 3.26670- 3 1.25710- 3 1.60000+ 1 2.20000+ 1 3.46427- 2 1.28678- 3 1.60000+ 1 2.40000+ 1 4.24321- 3 1.57544- 3 1.60000+ 1 2.50000+ 1 1.64818- 2 1.58273- 3 1.60000+ 1 2.70000+ 1 1.12575- 5 1.60491- 3 1.60000+ 1 2.90000+ 1 1.59490- 5 1.65431- 3 1.60000+ 1 3.00000+ 1 2.55187- 4 1.68823- 3 1.60000+ 1 3.20000+ 1 3.31176- 4 1.76011- 3 1.60000+ 1 3.30000+ 1 3.52748- 3 1.76476- 3 1.60000+ 1 4.10000+ 1 1.87632- 6 1.79088- 3 1.60000+ 1 4.30000+ 1 1.87632- 6 1.80291- 3 1.60000+ 1 4.40000+ 1 2.34537- 5 1.80696- 3 1.80000+ 1 1.80000+ 1 9.38176- 7 1.01228- 3 1.80000+ 1 1.90000+ 1 5.18881- 3 1.17140- 3 1.80000+ 1 2.10000+ 1 2.53308- 4 1.39129- 3 1.80000+ 1 2.20000+ 1 3.57913- 2 1.42097- 3 1.80000+ 1 2.40000+ 1 2.24681- 3 1.70963- 3 1.80000+ 1 2.50000+ 1 9.24651- 3 1.71692- 3 1.80000+ 1 2.70000+ 1 3.18976- 5 1.73910- 3 1.80000+ 1 2.90000+ 1 9.38176- 7 1.78850- 3 1.80000+ 1 3.00000+ 1 7.21443- 4 1.82242- 3 1.80000+ 1 3.20000+ 1 7.50546- 6 1.89430- 3 1.80000+ 1 3.30000+ 1 3.64085- 3 1.89895- 3 1.80000+ 1 4.10000+ 1 4.69067- 6 1.92507- 3 1.80000+ 1 4.40000+ 1 6.66104- 5 1.94115- 3 1.90000+ 1 1.90000+ 1 3.40179- 3 1.33052- 3 1.90000+ 1 2.10000+ 1 3.28351- 3 1.55041- 3 1.90000+ 1 2.20000+ 1 5.30636- 2 1.58009- 3 1.90000+ 1 2.40000+ 1 2.18964- 3 1.86875- 3 1.90000+ 1 2.50000+ 1 3.91380- 3 1.87604- 3 1.90000+ 1 2.70000+ 1 3.28351- 4 1.89822- 3 1.90000+ 1 2.90000+ 1 6.42623- 4 1.94762- 3 1.90000+ 1 3.00000+ 1 9.72809- 4 1.98154- 3 1.90000+ 1 3.20000+ 1 4.11830- 4 2.05342- 3 1.90000+ 1 3.30000+ 1 5.37741- 3 2.05807- 3 1.90000+ 1 4.10000+ 1 4.97235- 5 2.08419- 3 1.90000+ 1 4.30000+ 1 6.84863- 5 2.09622- 3 1.90000+ 1 4.40000+ 1 9.10000- 5 2.10027- 3 2.10000+ 1 2.10000+ 1 7.17688- 4 1.77030- 3 2.10000+ 1 2.20000+ 1 7.43548- 2 1.79998- 3 2.10000+ 1 2.40000+ 1 2.92049- 3 2.08864- 3 2.10000+ 1 2.50000+ 1 4.02976- 2 2.09593- 3 2.10000+ 1 2.70000+ 1 3.32107- 4 2.11811- 3 2.10000+ 1 2.90000+ 1 6.00441- 5 2.16751- 3 2.10000+ 1 3.00000+ 1 4.73756- 4 2.20143- 3 2.10000+ 1 3.20000+ 1 1.65125- 4 2.27331- 3 2.10000+ 1 3.30000+ 1 7.63095- 3 2.27796- 3 2.10000+ 1 4.10000+ 1 4.59694- 5 2.30408- 3 2.10000+ 1 4.30000+ 1 6.56703- 6 2.31611- 3 2.10000+ 1 4.40000+ 1 4.40941- 5 2.32016- 3 2.20000+ 1 2.20000+ 1 8.26946- 2 1.82966- 3 2.20000+ 1 2.40000+ 1 6.35358- 2 2.11832- 3 2.20000+ 1 2.50000+ 1 1.01768- 1 2.12561- 3 2.20000+ 1 2.70000+ 1 6.83562- 3 2.14779- 3 2.20000+ 1 2.90000+ 1 7.08518- 3 2.19719- 3 2.20000+ 1 3.00000+ 1 1.06094- 2 2.23111- 3 2.20000+ 1 3.20000+ 1 1.07008- 2 2.30299- 3 2.20000+ 1 3.30000+ 1 2.03199- 2 2.30764- 3 2.20000+ 1 4.10000+ 1 1.05161- 3 2.33376- 3 2.20000+ 1 4.30000+ 1 8.15258- 4 2.34579- 3 2.20000+ 1 4.40000+ 1 1.04229- 3 2.34984- 3 2.40000+ 1 2.40000+ 1 5.29154- 3 2.40698- 3 2.40000+ 1 2.50000+ 1 1.68694- 1 2.41427- 3 2.40000+ 1 2.70000+ 1 7.17713- 4 2.43645- 3 2.40000+ 1 2.90000+ 1 4.11851- 4 2.48585- 3 2.40000+ 1 3.00000+ 1 3.66830- 4 2.51977- 3 2.40000+ 1 3.20000+ 1 4.07168- 4 2.59165- 3 2.40000+ 1 3.30000+ 1 6.17142- 3 2.59630- 3 2.40000+ 1 4.10000+ 1 1.06019- 4 2.62242- 3 2.40000+ 1 4.30000+ 1 4.69088- 5 2.63445- 3 2.40000+ 1 4.40000+ 1 3.56509- 5 2.63850- 3 2.50000+ 1 2.50000+ 1 1.15331- 1 2.42156- 3 2.50000+ 1 2.70000+ 1 3.53774- 3 2.44374- 3 2.50000+ 1 2.90000+ 1 1.86686- 3 2.49314- 3 2.50000+ 1 3.00000+ 1 7.53329- 4 2.52706- 3 2.50000+ 1 3.20000+ 1 5.43088- 3 2.59894- 3 2.50000+ 1 3.30000+ 1 1.16482- 2 2.60359- 3 2.50000+ 1 4.10000+ 1 5.50709- 4 2.62971- 3 2.50000+ 1 4.30000+ 1 2.16712- 4 2.64174- 3 2.50000+ 1 4.40000+ 1 7.41124- 5 2.64579- 3 2.70000+ 1 2.70000+ 1 1.04362- 6 2.46592- 3 2.70000+ 1 2.90000+ 1 2.08718- 6 2.51532- 3 2.70000+ 1 3.00000+ 1 5.32219- 5 2.54924- 3 2.70000+ 1 3.20000+ 1 4.17435- 5 2.62112- 3 2.70000+ 1 3.30000+ 1 7.80630- 4 2.62577- 3 2.70000+ 1 4.40000+ 1 5.21788- 6 2.66797- 3 2.90000+ 1 3.00000+ 1 1.03490- 4 2.59864- 3 2.90000+ 1 3.20000+ 1 4.05829- 6 2.67052- 3 2.90000+ 1 3.30000+ 1 7.91355- 4 2.67517- 3 2.90000+ 1 4.40000+ 1 9.13141- 6 2.71737- 3 3.00000+ 1 3.00000+ 1 8.31613- 5 2.63256- 3 3.00000+ 1 3.20000+ 1 7.53987- 5 2.70444- 3 3.00000+ 1 3.30000+ 1 1.27634- 3 2.70909- 3 3.00000+ 1 4.10000+ 1 8.87086- 6 2.73521- 3 3.00000+ 1 4.30000+ 1 1.21982- 5 2.74724- 3 3.00000+ 1 4.40000+ 1 1.55242- 5 2.75129- 3 3.20000+ 1 3.20000+ 1 9.38151- 6 2.77632- 3 3.20000+ 1 3.30000+ 1 1.10605- 3 2.78097- 3 3.20000+ 1 4.10000+ 1 5.62863- 6 2.80709- 3 3.20000+ 1 4.40000+ 1 5.62863- 6 2.82317- 3 3.30000+ 1 3.30000+ 1 1.21205- 3 2.78562- 3 3.30000+ 1 4.10000+ 1 1.07889- 4 2.81174- 3 3.30000+ 1 4.30000+ 1 8.44351- 5 2.82377- 3 3.30000+ 1 4.40000+ 1 1.06014- 4 2.82782- 3 4.10000+ 1 4.40000+ 1 9.38174- 7 2.85394- 3 4.30000+ 1 4.40000+ 1 1.44579- 6 2.86597- 3 4.40000+ 1 4.40000+ 1 9.38174- 7 2.87002- 3 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.68140- 5 1.34190- 4 1.90000+ 1 3.63170- 4 2.93310- 4 2.90000+ 1 2.46230- 4 9.10410- 4 3.00000+ 1 7.93551- 5 9.44330- 4 4.30000+ 1 3.53580- 5 1.05901- 3 4.40000+ 1 1.16940- 5 1.06306- 3 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.00000+ 1 5.45548- 2 5.82000- 6 1.80000+ 1 3.20000+ 1 4.64067- 2 7.77000- 5 1.80000+ 1 3.30000+ 1 7.39183- 2 8.23500- 5 1.80000+ 1 4.10000+ 1 5.54035- 3 1.08470- 4 1.80000+ 1 4.30000+ 1 3.75394- 3 1.20500- 4 1.80000+ 1 4.40000+ 1 5.09601- 3 1.24550- 4 1.90000+ 1 2.40000+ 1 3.17645- 2 5.21500- 5 1.90000+ 1 2.50000+ 1 5.63314- 2 5.94400- 5 1.90000+ 1 2.70000+ 1 4.11053- 2 8.16200- 5 1.90000+ 1 2.90000+ 1 4.87255- 2 1.31020- 4 1.90000+ 1 3.00000+ 1 4.75897- 2 1.64940- 4 1.90000+ 1 3.20000+ 1 4.14784- 2 2.36820- 4 1.90000+ 1 3.30000+ 1 5.11892- 2 2.41470- 4 1.90000+ 1 4.10000+ 1 6.29042- 3 2.67590- 4 1.90000+ 1 4.30000+ 1 5.29489- 3 2.79620- 4 1.90000+ 1 4.40000+ 1 4.65106- 3 2.83670- 4 2.10000+ 1 2.20000+ 1 2.38007- 3 0.00000+ 0 2.10000+ 1 2.40000+ 1 4.31202- 3 2.72040- 4 2.10000+ 1 2.50000+ 1 6.48633- 3 2.79330- 4 2.10000+ 1 2.70000+ 1 1.77561- 2 3.01510- 4 2.10000+ 1 2.90000+ 1 5.83964- 3 3.50910- 4 2.10000+ 1 3.00000+ 1 7.25433- 3 3.84830- 4 2.10000+ 1 3.20000+ 1 2.02850- 3 4.56710- 4 2.10000+ 1 3.30000+ 1 2.33571- 3 4.61360- 4 2.10000+ 1 4.10000+ 1 2.05171- 3 4.87480- 4 2.10000+ 1 4.30000+ 1 6.43624- 4 4.99510- 4 2.10000+ 1 4.40000+ 1 5.97016- 4 5.03560- 4 2.20000+ 1 2.20000+ 1 4.17756- 3 1.30600- 5 2.20000+ 1 2.40000+ 1 7.12921- 3 3.01720- 4 2.20000+ 1 2.50000+ 1 7.73522- 3 3.09010- 4 2.20000+ 1 2.70000+ 1 2.37080- 2 3.31190- 4 2.20000+ 1 2.90000+ 1 9.41545- 3 3.80590- 4 2.20000+ 1 3.00000+ 1 7.73633- 3 4.14510- 4 2.20000+ 1 3.20000+ 1 1.81479- 3 4.86390- 4 2.20000+ 1 3.30000+ 1 2.88972- 3 4.91040- 4 2.20000+ 1 4.10000+ 1 2.72647- 3 5.17160- 4 2.20000+ 1 4.30000+ 1 9.18935- 4 5.29190- 4 2.20000+ 1 4.40000+ 1 7.02346- 4 5.33240- 4 2.40000+ 1 2.40000+ 1 9.41594- 3 5.90380- 4 2.40000+ 1 2.50000+ 1 1.82994- 2 5.97670- 4 2.40000+ 1 2.70000+ 1 2.15555- 2 6.19850- 4 2.40000+ 1 2.90000+ 1 2.97635- 3 6.69250- 4 2.40000+ 1 3.00000+ 1 1.13004- 2 7.03170- 4 2.40000+ 1 3.20000+ 1 1.05218- 3 7.75050- 4 2.40000+ 1 3.30000+ 1 6.84202- 4 7.79700- 4 2.40000+ 1 4.10000+ 1 2.16894- 3 8.05820- 4 2.40000+ 1 4.30000+ 1 2.70118- 4 8.17850- 4 2.40000+ 1 4.40000+ 1 8.98998- 4 8.21900- 4 2.50000+ 1 2.50000+ 1 1.56019- 2 6.04960- 4 2.50000+ 1 2.70000+ 1 2.79796- 2 6.27140- 4 2.50000+ 1 2.90000+ 1 1.52772- 3 6.76540- 4 2.50000+ 1 3.00000+ 1 1.25271- 2 7.10460- 4 2.50000+ 1 3.20000+ 1 6.28317- 4 7.82340- 4 2.50000+ 1 3.30000+ 1 1.52119- 3 7.86990- 4 2.50000+ 1 4.10000+ 1 2.80566- 3 8.13110- 4 2.50000+ 1 4.30000+ 1 1.35569- 4 8.25140- 4 2.50000+ 1 4.40000+ 1 9.62954- 4 8.29190- 4 2.70000+ 1 2.70000+ 1 1.62364- 2 6.49320- 4 2.70000+ 1 2.90000+ 1 2.34387- 2 6.98720- 4 2.70000+ 1 3.00000+ 1 3.71478- 2 7.32640- 4 2.70000+ 1 3.20000+ 1 3.24663- 2 8.04520- 4 2.70000+ 1 3.30000+ 1 4.47714- 2 8.09170- 4 2.70000+ 1 4.10000+ 1 4.23017- 3 8.35290- 4 2.70000+ 1 4.30000+ 1 2.72571- 3 8.47320- 4 2.70000+ 1 4.40000+ 1 3.64360- 3 8.51370- 4 2.90000+ 1 2.90000+ 1 1.99116- 3 7.48120- 4 2.90000+ 1 3.00000+ 1 8.54306- 3 7.82040- 4 2.90000+ 1 3.20000+ 1 3.23074- 3 8.53920- 4 2.90000+ 1 3.30000+ 1 2.44445- 3 8.58570- 4 2.90000+ 1 4.10000+ 1 2.57120- 3 8.84690- 4 2.90000+ 1 4.30000+ 1 3.88804- 4 8.96720- 4 2.90000+ 1 4.40000+ 1 6.61610- 4 9.00770- 4 3.00000+ 1 3.00000+ 1 5.33973- 3 8.15960- 4 3.00000+ 1 3.20000+ 1 2.58410- 3 8.87840- 4 3.00000+ 1 3.30000+ 1 5.40771- 3 8.92490- 4 3.00000+ 1 4.10000+ 1 4.05479- 3 9.18610- 4 3.00000+ 1 4.30000+ 1 8.55146- 4 9.30640- 4 3.00000+ 1 4.40000+ 1 9.29543- 4 9.34690- 4 3.20000+ 1 3.20000+ 1 9.85701- 4 9.59720- 4 3.20000+ 1 3.30000+ 1 2.95445- 3 9.64370- 4 3.20000+ 1 4.10000+ 1 4.43551- 3 9.90490- 4 3.20000+ 1 4.30000+ 1 3.71591- 4 1.00252- 3 3.20000+ 1 4.40000+ 1 2.18760- 4 1.00657- 3 3.30000+ 1 3.30000+ 1 1.93066- 3 9.69020- 4 3.30000+ 1 4.10000+ 1 5.99355- 3 9.95140- 4 3.30000+ 1 4.30000+ 1 2.45528- 4 1.00717- 3 3.30000+ 1 4.40000+ 1 5.24667- 4 1.01122- 3 4.10000+ 1 4.10000+ 1 3.18270- 4 1.02126- 3 4.10000+ 1 4.30000+ 1 3.45613- 4 1.03329- 3 4.10000+ 1 4.40000+ 1 4.72418- 4 1.03734- 3 4.30000+ 1 4.30000+ 1 2.23774- 5 1.04532- 3 4.30000+ 1 4.40000+ 1 7.70807- 5 1.04937- 3 4.40000+ 1 4.40000+ 1 4.72420- 5 1.05342- 3 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 9.79262- 4 3.79010- 4 2.70000+ 1 2.28444- 4 7.26820- 4 3.20000+ 1 5.62368- 5 8.82020- 4 4.10000+ 1 3.86337- 5 9.12790- 4 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 1.02004- 2 0.00000+ 0 1.90000+ 1 3.00000+ 1 2.56167- 2 3.07500- 5 1.90000+ 1 3.20000+ 1 8.95115- 3 1.02630- 4 1.90000+ 1 3.30000+ 1 1.39994- 2 1.07280- 4 1.90000+ 1 4.10000+ 1 1.99727- 3 1.33400- 4 1.90000+ 1 4.30000+ 1 1.77892- 3 1.45430- 4 1.90000+ 1 4.40000+ 1 1.67679- 3 1.49480- 4 2.10000+ 1 2.40000+ 1 1.18699- 1 1.37850- 4 2.10000+ 1 2.50000+ 1 2.69620- 1 1.45140- 4 2.10000+ 1 2.70000+ 1 3.81541- 2 1.67320- 4 2.10000+ 1 2.90000+ 1 3.04824- 2 2.16720- 4 2.10000+ 1 3.00000+ 1 4.10749- 2 2.50640- 4 2.10000+ 1 3.20000+ 1 2.16901- 2 3.22520- 4 2.10000+ 1 3.30000+ 1 3.40627- 2 3.27170- 4 2.10000+ 1 4.10000+ 1 5.94448- 3 3.53290- 4 2.10000+ 1 4.30000+ 1 3.31492- 3 3.65320- 4 2.10000+ 1 4.40000+ 1 3.98000- 3 3.69370- 4 2.20000+ 1 2.40000+ 1 4.23893- 2 1.67530- 4 2.20000+ 1 2.50000+ 1 1.08621- 2 1.74820- 4 2.20000+ 1 2.70000+ 1 6.00013- 3 1.97000- 4 2.20000+ 1 2.90000+ 1 2.50509- 2 2.46400- 4 2.20000+ 1 3.00000+ 1 5.33505- 3 2.80320- 4 2.20000+ 1 3.20000+ 1 2.40403- 3 3.52200- 4 2.20000+ 1 3.30000+ 1 2.44491- 3 3.56850- 4 2.20000+ 1 4.10000+ 1 7.13612- 4 3.82970- 4 2.20000+ 1 4.30000+ 1 2.02242- 3 3.95000- 4 2.20000+ 1 4.40000+ 1 4.21937- 4 3.99050- 4 2.40000+ 1 2.40000+ 1 2.40099- 3 4.56190- 4 2.40000+ 1 2.50000+ 1 1.44431- 2 4.63480- 4 2.40000+ 1 2.70000+ 1 4.88629- 3 4.85660- 4 2.40000+ 1 2.90000+ 1 2.02817- 2 5.35060- 4 2.40000+ 1 3.00000+ 1 3.28838- 3 5.68980- 4 2.40000+ 1 3.20000+ 1 5.43020- 3 6.40860- 4 2.40000+ 1 3.30000+ 1 3.34317- 3 6.45510- 4 2.40000+ 1 4.10000+ 1 7.69476- 4 6.71630- 4 2.40000+ 1 4.30000+ 1 1.65335- 3 6.83660- 4 2.40000+ 1 4.40000+ 1 2.88621- 4 6.87710- 4 2.50000+ 1 2.50000+ 1 6.69626- 4 4.70770- 4 2.50000+ 1 2.70000+ 1 2.83026- 3 4.92950- 4 2.50000+ 1 2.90000+ 1 3.24237- 2 5.42350- 4 2.50000+ 1 3.00000+ 1 1.89231- 3 5.76270- 4 2.50000+ 1 3.20000+ 1 1.13125- 2 6.48150- 4 2.50000+ 1 3.30000+ 1 1.02356- 3 6.52800- 4 2.50000+ 1 4.10000+ 1 3.41983- 4 6.78920- 4 2.50000+ 1 4.30000+ 1 2.56523- 3 6.90950- 4 2.50000+ 1 4.40000+ 1 1.57331- 4 6.95000- 4 2.70000+ 1 2.70000+ 1 1.10450- 3 5.15130- 4 2.70000+ 1 2.90000+ 1 1.48764- 2 5.64530- 4 2.70000+ 1 3.00000+ 1 2.79415- 3 5.98450- 4 2.70000+ 1 3.20000+ 1 3.39589- 3 6.70330- 4 2.70000+ 1 3.30000+ 1 2.40912- 3 6.74980- 4 2.70000+ 1 4.10000+ 1 2.70830- 4 7.01100- 4 2.70000+ 1 4.30000+ 1 1.16573- 3 7.13130- 4 2.70000+ 1 4.40000+ 1 2.49632- 4 7.17180- 4 2.90000+ 1 2.90000+ 1 1.28411- 2 6.13930- 4 2.90000+ 1 3.00000+ 1 3.38111- 2 6.47850- 4 2.90000+ 1 3.20000+ 1 2.41187- 2 7.19730- 4 2.90000+ 1 3.30000+ 1 4.01610- 2 7.24380- 4 2.90000+ 1 4.10000+ 1 3.10861- 3 7.50500- 4 2.90000+ 1 4.30000+ 1 2.53716- 3 7.62530- 4 2.90000+ 1 4.40000+ 1 3.34430- 3 7.66580- 4 3.00000+ 1 3.00000+ 1 1.12429- 3 6.81770- 4 3.00000+ 1 3.20000+ 1 4.31884- 3 7.53650- 4 3.00000+ 1 3.30000+ 1 1.81435- 3 7.58300- 4 3.00000+ 1 4.10000+ 1 3.70621- 4 7.84420- 4 3.00000+ 1 4.30000+ 1 2.42976- 3 7.96450- 4 3.00000+ 1 4.40000+ 1 1.89460- 4 8.00500- 4 3.20000+ 1 3.20000+ 1 5.36619- 4 8.25530- 4 3.20000+ 1 3.30000+ 1 8.89739- 4 8.30180- 4 3.20000+ 1 4.10000+ 1 2.10369- 4 8.56300- 4 3.20000+ 1 4.30000+ 1 6.36614- 4 8.68330- 4 3.20000+ 1 4.40000+ 1 1.49698- 4 8.72380- 4 3.30000+ 1 3.30000+ 1 8.79352- 5 8.34830- 4 3.30000+ 1 4.10000+ 1 6.67192- 5 8.60950- 4 3.30000+ 1 4.30000+ 1 6.48754- 4 8.72980- 4 3.30000+ 1 4.40000+ 1 3.32063- 5 8.77030- 4 4.10000+ 1 4.10000+ 1 3.99532- 6 8.87070- 4 4.10000+ 1 4.30000+ 1 4.50909- 5 8.99100- 4 4.10000+ 1 4.40000+ 1 6.84906- 6 9.03150- 4 4.30000+ 1 4.30000+ 1 1.70770- 5 9.11130- 4 4.30000+ 1 4.40000+ 1 3.85893- 5 9.15180- 4 4.40000+ 1 4.40000+ 1 1.20082- 6 9.19230- 4 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.47595- 5 2.19890- 4 2.20000+ 1 2.01115- 4 2.49570- 4 2.70000+ 1 2.21326- 4 5.67700- 4 3.20000+ 1 1.85067- 5 7.22900- 4 3.30000+ 1 1.09567- 4 7.27550- 4 4.10000+ 1 3.67072- 5 7.53670- 4 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.50000+ 1 1.44131- 3 0.00000+ 0 2.10000+ 1 2.70000+ 1 2.09528- 2 8.20000- 6 2.10000+ 1 2.90000+ 1 1.40562- 2 5.76000- 5 2.10000+ 1 3.00000+ 1 4.20775- 2 9.15200- 5 2.10000+ 1 3.20000+ 1 1.27109- 2 1.63400- 4 2.10000+ 1 3.30000+ 1 2.07527- 2 1.68050- 4 2.10000+ 1 4.10000+ 1 2.47824- 3 1.94170- 4 2.10000+ 1 4.30000+ 1 1.49569- 3 2.06200- 4 2.10000+ 1 4.40000+ 1 3.40429- 3 2.10250- 4 2.20000+ 1 2.40000+ 1 8.26668- 3 8.41000- 6 2.20000+ 1 2.50000+ 1 2.53074- 2 1.57000- 5 2.20000+ 1 2.70000+ 1 9.83363- 2 3.78800- 5 2.20000+ 1 2.90000+ 1 1.06378- 1 8.72800- 5 2.20000+ 1 3.00000+ 1 1.27369- 1 1.21200- 4 2.20000+ 1 3.20000+ 1 1.02081- 1 1.93080- 4 2.20000+ 1 3.30000+ 1 1.21096- 1 1.97730- 4 2.20000+ 1 4.10000+ 1 1.55319- 2 2.23850- 4 2.20000+ 1 4.30000+ 1 1.17331- 2 2.35880- 4 2.20000+ 1 4.40000+ 1 1.14691- 2 2.39930- 4 2.40000+ 1 2.40000+ 1 8.14158- 4 2.97070- 4 2.40000+ 1 2.50000+ 1 9.93098- 3 3.04360- 4 2.40000+ 1 2.70000+ 1 7.91267- 3 3.26540- 4 2.40000+ 1 2.90000+ 1 4.23750- 3 3.75940- 4 2.40000+ 1 3.00000+ 1 5.13493- 2 4.09860- 4 2.40000+ 1 3.20000+ 1 1.69994- 3 4.81740- 4 2.40000+ 1 3.30000+ 1 7.15067- 3 4.86390- 4 2.40000+ 1 4.10000+ 1 8.20693- 4 5.12510- 4 2.40000+ 1 4.30000+ 1 4.22231- 4 5.24540- 4 2.40000+ 1 4.40000+ 1 3.58170- 3 5.28590- 4 2.50000+ 1 2.50000+ 1 5.39920- 3 3.11650- 4 2.50000+ 1 2.70000+ 1 1.79044- 2 3.33830- 4 2.50000+ 1 2.90000+ 1 1.51202- 2 3.83230- 4 2.50000+ 1 3.00000+ 1 6.27395- 2 4.17150- 4 2.50000+ 1 3.20000+ 1 1.41338- 3 4.89030- 4 2.50000+ 1 3.30000+ 1 9.77266- 3 4.93680- 4 2.50000+ 1 4.10000+ 1 2.21254- 3 5.19800- 4 2.50000+ 1 4.30000+ 1 1.55490- 3 5.31830- 4 2.50000+ 1 4.40000+ 1 4.42302- 3 5.35880- 4 2.70000+ 1 2.70000+ 1 1.74017- 6 3.56010- 4 2.70000+ 1 2.90000+ 1 2.32509- 4 4.05410- 4 2.70000+ 1 3.00000+ 1 5.06526- 3 4.39330- 4 2.70000+ 1 3.20000+ 1 4.45512- 4 5.11210- 4 2.70000+ 1 3.30000+ 1 7.83814- 4 5.15860- 4 2.70000+ 1 4.10000+ 1 3.82864- 6 5.41980- 4 2.70000+ 1 4.30000+ 1 1.80988- 5 5.54010- 4 2.70000+ 1 4.40000+ 1 3.44923- 4 5.58060- 4 2.90000+ 1 2.90000+ 1 3.33940- 6 4.54810- 4 2.90000+ 1 3.00000+ 1 5.35523- 3 4.88730- 4 2.90000+ 1 3.20000+ 1 2.28414- 4 5.60610- 4 2.90000+ 1 3.30000+ 1 6.93237- 4 5.65260- 4 2.90000+ 1 4.10000+ 1 3.13888- 5 5.91380- 4 2.90000+ 1 4.30000+ 1 1.66958- 6 6.03410- 4 2.90000+ 1 4.40000+ 1 3.73005- 4 6.07460- 4 3.00000+ 1 3.00000+ 1 7.20748- 3 5.22650- 4 3.00000+ 1 3.20000+ 1 7.57003- 3 5.94530- 4 3.00000+ 1 3.30000+ 1 1.00658- 2 5.99180- 4 3.00000+ 1 4.10000+ 1 8.27029- 4 6.25300- 4 3.00000+ 1 4.30000+ 1 6.46952- 4 6.37330- 4 3.00000+ 1 4.40000+ 1 1.21164- 3 6.41380- 4 3.20000+ 1 3.20000+ 1 1.19494- 4 6.66410- 4 3.20000+ 1 3.30000+ 1 7.16673- 4 6.71060- 4 3.20000+ 1 4.10000+ 1 4.26349- 5 6.97180- 4 3.20000+ 1 4.30000+ 1 2.11727- 5 7.09210- 4 3.20000+ 1 4.40000+ 1 4.35623- 4 7.13260- 4 3.30000+ 1 3.30000+ 1 6.77172- 4 6.75710- 4 3.30000+ 1 4.10000+ 1 9.91845- 5 7.01830- 4 3.30000+ 1 4.30000+ 1 6.52528- 5 7.13860- 4 3.30000+ 1 4.40000+ 1 5.86688- 4 7.17910- 4 4.10000+ 1 4.30000+ 1 1.74005- 6 7.39980- 4 4.10000+ 1 4.40000+ 1 4.61129- 5 7.44030- 4 4.30000+ 1 4.40000+ 1 3.68329- 5 7.56060- 4 4.40000+ 1 4.40000+ 1 4.03119- 5 7.60110- 4 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 3.43322- 4 3.18340- 4 2.90000+ 1 8.94024- 5 3.97210- 4 3.00000+ 1 1.10430- 5 4.31130- 4 4.30000+ 1 9.86914- 6 5.45810- 4 4.40000+ 1 1.05650- 6 5.49860- 4 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 4.10000+ 1 1.70061- 3 3.96000- 6 2.20000+ 1 4.30000+ 1 7.29085- 4 1.59900- 5 2.20000+ 1 4.40000+ 1 1.46343- 3 2.00400- 5 2.40000+ 1 2.40000+ 1 6.98310- 2 7.71800- 5 2.40000+ 1 2.50000+ 1 2.32964- 1 8.44700- 5 2.40000+ 1 2.70000+ 1 8.89388- 2 1.06650- 4 2.40000+ 1 2.90000+ 1 7.59833- 2 1.56050- 4 2.40000+ 1 3.00000+ 1 9.87237- 2 1.89970- 4 2.40000+ 1 3.20000+ 1 9.45992- 2 2.61850- 4 2.40000+ 1 3.30000+ 1 9.76339- 2 2.66500- 4 2.40000+ 1 4.10000+ 1 1.39254- 2 2.92620- 4 2.40000+ 1 4.30000+ 1 8.62741- 3 3.04650- 4 2.40000+ 1 4.40000+ 1 9.40683- 3 3.08700- 4 2.50000+ 1 2.50000+ 1 4.10307- 3 9.17600- 5 2.50000+ 1 2.70000+ 1 7.44691- 3 1.13940- 4 2.50000+ 1 2.90000+ 1 1.41835- 2 1.63340- 4 2.50000+ 1 3.00000+ 1 6.49812- 3 1.97260- 4 2.50000+ 1 3.20000+ 1 1.04359- 1 2.69140- 4 2.50000+ 1 3.30000+ 1 4.30994- 3 2.73790- 4 2.50000+ 1 4.10000+ 1 8.58980- 4 2.99910- 4 2.50000+ 1 4.30000+ 1 1.09649- 3 3.11940- 4 2.50000+ 1 4.40000+ 1 5.04816- 4 3.15990- 4 2.70000+ 1 2.70000+ 1 8.00439- 4 1.36120- 4 2.70000+ 1 2.90000+ 1 1.83614- 3 1.85520- 4 2.70000+ 1 3.00000+ 1 1.56158- 3 2.19440- 4 2.70000+ 1 3.20000+ 1 9.29300- 3 2.91320- 4 2.70000+ 1 3.30000+ 1 2.16720- 3 2.95970- 4 2.70000+ 1 4.10000+ 1 1.44220- 4 3.22090- 4 2.70000+ 1 4.30000+ 1 1.40440- 4 3.34120- 4 2.70000+ 1 4.40000+ 1 1.17044- 4 3.38170- 4 2.90000+ 1 2.90000+ 1 3.33774- 4 2.34920- 4 2.90000+ 1 3.00000+ 1 1.92489- 3 2.68840- 4 2.90000+ 1 3.20000+ 1 5.79648- 3 3.40720- 4 2.90000+ 1 3.30000+ 1 7.90635- 4 3.45370- 4 2.90000+ 1 4.10000+ 1 1.03830- 4 3.71490- 4 2.90000+ 1 4.30000+ 1 5.28604- 5 3.83520- 4 2.90000+ 1 4.40000+ 1 1.16668- 4 3.87570- 4 3.00000+ 1 3.00000+ 1 7.36277- 4 3.02760- 4 3.00000+ 1 3.20000+ 1 1.17869- 2 3.74640- 4 3.00000+ 1 3.30000+ 1 1.02711- 3 3.79290- 4 3.00000+ 1 4.10000+ 1 6.23009- 5 4.05410- 4 3.00000+ 1 4.30000+ 1 1.12519- 4 4.17440- 4 3.00000+ 1 4.40000+ 1 8.79754- 5 4.21490- 4 3.20000+ 1 3.20000+ 1 6.56416- 3 4.46520- 4 3.20000+ 1 3.30000+ 1 1.28206- 2 4.51170- 4 3.20000+ 1 4.10000+ 1 1.08128- 3 4.77290- 4 3.20000+ 1 4.30000+ 1 6.60386- 4 4.89320- 4 3.20000+ 1 4.40000+ 1 1.11268- 3 4.93370- 4 3.30000+ 1 3.30000+ 1 2.36735- 4 4.55820- 4 3.30000+ 1 4.10000+ 1 5.47490- 5 4.81940- 4 3.30000+ 1 4.30000+ 1 4.03995- 5 4.93970- 4 3.30000+ 1 4.40000+ 1 7.02284- 5 4.98020- 4 4.10000+ 1 4.10000+ 1 3.77571- 6 5.08060- 4 4.10000+ 1 4.30000+ 1 6.41855- 6 5.20090- 4 4.10000+ 1 4.40000+ 1 4.53080- 6 5.24140- 4 4.30000+ 1 4.30000+ 1 7.55146- 7 5.32120- 4 4.30000+ 1 4.40000+ 1 6.41869- 6 5.36170- 4 4.40000+ 1 4.40000+ 1 2.64291- 6 5.40220- 4 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.39249- 5 2.88660- 4 2.50000+ 1 3.06218- 4 2.95950- 4 3.00000+ 1 7.89895- 5 4.01450- 4 4.40000+ 1 7.61995- 6 5.20180- 4 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 3.60330- 3 4.75000- 5 2.40000+ 1 2.50000+ 1 7.90580- 2 5.47900- 5 2.40000+ 1 2.70000+ 1 1.15677- 2 7.69700- 5 2.40000+ 1 2.90000+ 1 7.55564- 3 1.26370- 4 2.40000+ 1 3.00000+ 1 1.48754- 2 1.60290- 4 2.40000+ 1 3.20000+ 1 6.11391- 3 2.32170- 4 2.40000+ 1 3.30000+ 1 9.38653- 2 2.36820- 4 2.40000+ 1 4.10000+ 1 1.52163- 3 2.62940- 4 2.40000+ 1 4.30000+ 1 8.09097- 4 2.74970- 4 2.40000+ 1 4.40000+ 1 1.18867- 3 2.79020- 4 2.50000+ 1 2.50000+ 1 8.87341- 2 6.20800- 5 2.50000+ 1 2.70000+ 1 1.00599- 1 8.42600- 5 2.50000+ 1 2.90000+ 1 1.06648- 1 1.33660- 4 2.50000+ 1 3.00000+ 1 1.02599- 1 1.67580- 4 2.50000+ 1 3.20000+ 1 9.29806- 2 2.39460- 4 2.50000+ 1 3.30000+ 1 1.72560- 1 2.44110- 4 2.50000+ 1 4.10000+ 1 1.58052- 2 2.70230- 4 2.50000+ 1 4.30000+ 1 1.16077- 2 2.82260- 4 2.50000+ 1 4.40000+ 1 9.84190- 3 2.86310- 4 2.70000+ 1 2.70000+ 1 1.45992- 3 1.06440- 4 2.70000+ 1 2.90000+ 1 1.92215- 3 1.55840- 4 2.70000+ 1 3.00000+ 1 3.44295- 3 1.89760- 4 2.70000+ 1 3.20000+ 1 2.94282- 3 2.61640- 4 2.70000+ 1 3.30000+ 1 1.24504- 2 2.66290- 4 2.70000+ 1 4.10000+ 1 2.57377- 4 2.92410- 4 2.70000+ 1 4.30000+ 1 1.52410- 4 3.04440- 4 2.70000+ 1 4.40000+ 1 2.54857- 4 3.08490- 4 2.90000+ 1 2.90000+ 1 2.33444- 4 2.05240- 4 2.90000+ 1 3.00000+ 1 3.42453- 3 2.39160- 4 2.90000+ 1 3.20000+ 1 4.24494- 4 3.11040- 4 2.90000+ 1 3.30000+ 1 9.18650- 3 3.15690- 4 2.90000+ 1 4.10000+ 1 1.04549- 4 3.41810- 4 2.90000+ 1 4.30000+ 1 3.52691- 5 3.53840- 4 2.90000+ 1 4.40000+ 1 2.14137- 4 3.57890- 4 3.00000+ 1 3.00000+ 1 1.13080- 3 2.73080- 4 3.00000+ 1 3.20000+ 1 1.53045- 3 3.44960- 4 3.00000+ 1 3.30000+ 1 1.22149- 2 3.49610- 4 3.00000+ 1 4.10000+ 1 1.12530- 4 3.75730- 4 3.00000+ 1 4.30000+ 1 1.46547- 4 3.87760- 4 3.00000+ 1 4.40000+ 1 1.35628- 4 3.91810- 4 3.20000+ 1 3.20000+ 1 1.14631- 4 4.16840- 4 3.20000+ 1 3.30000+ 1 1.07021- 2 4.21490- 4 3.20000+ 1 4.10000+ 1 6.84415- 5 4.47610- 4 3.20000+ 1 4.30000+ 1 3.19104- 5 4.59640- 4 3.20000+ 1 4.40000+ 1 1.05811- 4 4.63690- 4 3.30000+ 1 3.30000+ 1 1.18264- 2 4.26140- 4 3.30000+ 1 4.10000+ 1 1.25703- 3 4.52260- 4 3.30000+ 1 4.30000+ 1 9.64427- 4 4.64290- 4 3.30000+ 1 4.40000+ 1 1.17304- 3 4.68340- 4 4.10000+ 1 4.10000+ 1 7.13790- 6 4.78380- 4 4.10000+ 1 4.30000+ 1 7.55765- 6 4.90410- 4 4.10000+ 1 4.40000+ 1 8.81731- 6 4.94460- 4 4.30000+ 1 4.30000+ 1 8.39744- 7 5.02440- 4 4.30000+ 1 4.40000+ 1 9.65719- 6 5.06490- 4 4.40000+ 1 4.40000+ 1 4.19867- 6 5.10540- 4 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.87438- 5 1.84670- 4 3.30000+ 1 1.23108- 6 1.89320- 4 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 4.30000+ 1 5.65841- 3 1.57800- 5 2.70000+ 1 4.40000+ 1 9.57439- 3 1.98300- 5 2.90000+ 1 3.20000+ 1 1.05096- 1 2.23800- 5 2.90000+ 1 3.30000+ 1 7.36818- 2 2.70300- 5 2.90000+ 1 4.10000+ 1 3.33120- 2 5.31500- 5 2.90000+ 1 4.30000+ 1 1.14021- 2 6.51800- 5 2.90000+ 1 4.40000+ 1 1.66651- 2 6.92300- 5 3.00000+ 1 3.20000+ 1 1.34754- 1 5.63000- 5 3.00000+ 1 3.30000+ 1 6.60244- 2 6.09500- 5 3.00000+ 1 4.10000+ 1 1.38536- 2 8.70700- 5 3.00000+ 1 4.30000+ 1 1.32833- 2 9.91000- 5 3.00000+ 1 4.40000+ 1 6.83126- 3 1.03150- 4 3.20000+ 1 3.20000+ 1 1.62716- 1 1.28180- 4 3.20000+ 1 3.30000+ 1 2.32124- 1 1.32830- 4 3.20000+ 1 4.10000+ 1 1.20243- 2 1.58950- 4 3.20000+ 1 4.30000+ 1 2.77227- 2 1.70980- 4 3.20000+ 1 4.40000+ 1 1.85968- 2 1.75030- 4 3.30000+ 1 3.30000+ 1 2.26984- 2 1.37480- 4 3.30000+ 1 4.10000+ 1 3.07564- 3 1.63600- 4 3.30000+ 1 4.30000+ 1 2.05499- 2 1.75630- 4 3.30000+ 1 4.40000+ 1 7.66336- 3 1.79680- 4 4.10000+ 1 4.10000+ 1 5.17539- 5 1.89720- 4 4.10000+ 1 4.30000+ 1 9.31581- 4 2.01750- 4 4.10000+ 1 4.40000+ 1 6.21044- 4 2.05800- 4 4.30000+ 1 4.30000+ 1 2.93274- 4 2.13780- 4 4.30000+ 1 4.40000+ 1 6.55534- 4 2.17830- 4 4.40000+ 1 4.40000+ 1 1.18858- 4 2.21880- 4 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 1.80560- 5 1.82030- 4 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 4.30000+ 1 5.34789- 5 8.49000- 6 2.70000+ 1 4.40000+ 1 8.59251- 3 1.25400- 5 2.90000+ 1 3.20000+ 1 2.31560- 2 1.50900- 5 2.90000+ 1 3.30000+ 1 6.99132- 2 1.97400- 5 2.90000+ 1 4.10000+ 1 3.08390- 3 4.58600- 5 2.90000+ 1 4.30000+ 1 7.13005- 4 5.78900- 5 2.90000+ 1 4.40000+ 1 6.77386- 3 6.19400- 5 3.00000+ 1 3.20000+ 1 8.85771- 2 4.90100- 5 3.00000+ 1 3.30000+ 1 2.44035- 1 5.36600- 5 3.00000+ 1 4.10000+ 1 3.09815- 2 7.97800- 5 3.00000+ 1 4.30000+ 1 8.82370- 3 9.18100- 5 3.00000+ 1 4.40000+ 1 2.95020- 2 9.58600- 5 3.20000+ 1 3.20000+ 1 1.28709- 2 1.20890- 4 3.20000+ 1 3.30000+ 1 1.78963- 1 1.25540- 4 3.20000+ 1 4.10000+ 1 2.47795- 3 1.51660- 4 3.20000+ 1 4.30000+ 1 2.10364- 3 1.63690- 4 3.20000+ 1 4.40000+ 1 1.64539- 2 1.67740- 4 3.30000+ 1 3.30000+ 1 2.07411- 1 1.30190- 4 3.30000+ 1 4.10000+ 1 1.32989- 2 1.56310- 4 3.30000+ 1 4.30000+ 1 1.11423- 2 1.68340- 4 3.30000+ 1 4.40000+ 1 3.86473- 2 1.72390- 4 4.10000+ 1 4.10000+ 1 3.56530- 5 1.82430- 4 4.10000+ 1 4.30000+ 1 3.38705- 4 1.94460- 4 4.10000+ 1 4.40000+ 1 1.08754- 3 1.98510- 4 4.30000+ 1 4.30000+ 1 1.78271- 5 2.06490- 4 4.30000+ 1 4.40000+ 1 3.56523- 4 2.10540- 4 4.40000+ 1 4.40000+ 1 5.70440- 4 2.14590- 4 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.31087- 6 4.94000- 5 3.00000+ 1 1.29394- 5 8.33200- 5 4.30000+ 1 9.91051- 7 1.98000- 4 4.40000+ 1 2.84205- 8 2.02050- 4 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.30000+ 1 3.72211- 2 0.00000+ 0 2.90000+ 1 4.10000+ 1 2.68289- 2 2.36800- 5 2.90000+ 1 4.30000+ 1 1.32606- 2 3.57100- 5 2.90000+ 1 4.40000+ 1 2.64396- 2 3.97600- 5 3.00000+ 1 3.20000+ 1 3.61928- 1 2.68300- 5 3.00000+ 1 3.30000+ 1 3.07599- 1 3.14800- 5 3.00000+ 1 4.10000+ 1 1.83087- 2 5.76000- 5 3.00000+ 1 4.30000+ 1 1.54700- 2 6.96300- 5 3.00000+ 1 4.40000+ 1 1.41858- 2 7.36800- 5 3.20000+ 1 3.20000+ 1 2.13338- 3 9.87100- 5 3.20000+ 1 3.30000+ 1 1.22781- 1 1.03360- 4 3.20000+ 1 4.10000+ 1 7.82827- 3 1.29480- 4 3.20000+ 1 4.30000+ 1 9.04897- 4 1.41510- 4 3.20000+ 1 4.40000+ 1 5.85283- 3 1.45560- 4 3.30000+ 1 3.30000+ 1 2.08289- 2 1.08010- 4 3.30000+ 1 4.10000+ 1 7.09094- 3 1.34130- 4 3.30000+ 1 4.30000+ 1 2.62221- 3 1.46160- 4 3.30000+ 1 4.40000+ 1 2.41799- 3 1.50210- 4 4.10000+ 1 4.10000+ 1 1.05379- 3 1.60250- 4 4.10000+ 1 4.30000+ 1 1.06198- 3 1.72280- 4 4.10000+ 1 4.40000+ 1 1.49964- 3 1.76330- 4 4.30000+ 1 4.30000+ 1 2.35090- 4 1.84310- 4 4.30000+ 1 4.40000+ 1 1.43571- 3 1.88360- 4 4.40000+ 1 4.40000+ 1 9.96522- 4 1.92410- 4 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.30370- 5 1.05800- 4 4.10000+ 1 1.33570- 6 1.36570- 4 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 4.10000+ 1 1.59248- 2 8.20000- 6 3.00000+ 1 4.30000+ 1 1.73588- 2 2.02300- 5 3.00000+ 1 4.40000+ 1 1.12803- 2 2.42800- 5 3.20000+ 1 3.20000+ 1 1.51371- 1 4.93100- 5 3.20000+ 1 3.30000+ 1 6.56219- 1 5.39600- 5 3.20000+ 1 4.10000+ 1 3.74495- 2 8.00800- 5 3.20000+ 1 4.30000+ 1 2.22190- 2 9.21100- 5 3.20000+ 1 4.40000+ 1 3.48601- 2 9.61600- 5 3.30000+ 1 3.30000+ 1 2.41142- 2 5.86100- 5 3.30000+ 1 4.10000+ 1 2.74022- 3 8.47300- 5 3.30000+ 1 4.30000+ 1 1.81736- 2 9.67600- 5 3.30000+ 1 4.40000+ 1 4.09491- 3 1.00810- 4 4.10000+ 1 4.10000+ 1 4.54534- 5 1.10850- 4 4.10000+ 1 4.30000+ 1 1.50569- 3 1.22880- 4 4.10000+ 1 4.40000+ 1 2.16349- 4 1.26930- 4 4.30000+ 1 4.30000+ 1 7.44535- 4 1.34910- 4 4.30000+ 1 4.40000+ 1 1.59986- 3 1.38960- 4 4.40000+ 1 4.40000+ 1 6.81789- 5 1.43010- 4 1 86000 0 7 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 2.06500- 7 7.18800- 5 3.30000+ 1 2.25200- 6 7.65300- 5 4.10000+ 1 6.17869- 7 1.02650- 4 1 86000 0 9 2.22000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 2.52197- 2 1.53900- 5 3.20000+ 1 3.30000+ 1 5.07317- 1 2.00400- 5 3.20000+ 1 4.10000+ 1 5.51592- 3 4.61600- 5 3.20000+ 1 4.30000+ 1 2.79504- 3 5.81900- 5 3.20000+ 1 4.40000+ 1 8.43135- 3 6.22400- 5 3.30000+ 1 3.30000+ 1 3.63842- 1 2.46900- 5 3.30000+ 1 4.10000+ 1 3.05509- 2 5.08100- 5 3.30000+ 1 4.30000+ 1 2.53067- 2 6.28400- 5 3.30000+ 1 4.40000+ 1 2.83496- 2 6.68900- 5 4.10000+ 1 4.10000+ 1 1.47427- 4 7.69300- 5 4.10000+ 1 4.30000+ 1 2.35722- 4 8.89600- 5 4.10000+ 1 4.40000+ 1 9.68249- 4 9.30100- 5 4.30000+ 1 4.30000+ 1 1.31986- 7 1.00990- 4 4.30000+ 1 4.40000+ 1 6.51977- 4 1.05040- 4 4.40000+ 1 4.40000+ 1 6.64389- 4 1.09090- 4 1 87000 0 0 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 5.80000+ 1 1.00000+ 0 1 87000 0 0 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.01520- 1 3.00000+ 0 1.86300- 2 5.00000+ 0 1.79710- 2 6.00000+ 0 1.50340- 2 8.00000+ 0 4.61910- 3 1.00000+ 1 4.31250- 3 1.10000+ 1 3.64450- 3 1.30000+ 1 3.13890- 3 1.40000+ 1 2.99920- 3 1.60000+ 1 1.13030- 3 1.80000+ 1 9.92690- 4 1.90000+ 1 8.22800- 4 2.10000+ 1 5.97600- 4 2.20000+ 1 5.65950- 4 2.40000+ 1 2.69950- 4 2.50000+ 1 2.62070- 4 2.70000+ 1 2.32340- 4 2.90000+ 1 1.81000- 4 3.00000+ 1 1.43910- 4 3.20000+ 1 6.87300- 5 3.30000+ 1 6.35200- 5 4.10000+ 1 3.26400- 5 4.30000+ 1 1.92800- 5 4.40000+ 1 1.41400- 5 5.80000+ 1 3.80000- 6 1 87000 0 0 2.23000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.47600- 1 3.00000+ 0 3.62290- 2 5.00000+ 0 3.62230- 2 6.00000+ 0 2.44210- 2 8.00000+ 0 1.16050- 2 1.00000+ 1 1.14750- 2 1.10000+ 1 8.51080- 3 1.30000+ 1 8.35360- 3 1.40000+ 1 7.76790- 3 1.60000+ 1 3.93220- 3 1.80000+ 1 3.78690- 3 1.90000+ 1 2.88180- 3 2.10000+ 1 2.64850- 3 2.20000+ 1 2.47360- 3 2.40000+ 1 2.10980- 3 2.50000+ 1 2.05080- 3 2.70000+ 1 1.14560- 3 2.90000+ 1 1.03130- 3 3.00000+ 1 7.84030- 4 3.20000+ 1 5.83450- 4 3.30000+ 1 5.41340- 4 4.10000+ 1 2.41170- 4 4.30000+ 1 1.79810- 4 4.40000+ 1 1.27390- 4 5.80000+ 1 1.95000- 5 1 87000 0 0 2.23000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.82360-11 3.00000+ 0 3.24530-10 5.00000+ 0 2.64210-10 6.00000+ 0 3.14720-10 8.00000+ 0 8.42990-10 1.00000+ 1 7.93170-10 1.10000+ 1 8.84300-10 1.30000+ 1 7.64210-10 1.40000+ 1 7.91630-10 1.60000+ 1 1.84200- 9 1.80000+ 1 1.83700- 9 1.90000+ 1 2.02190- 9 2.10000+ 1 2.01730- 9 2.20000+ 1 2.07410- 9 2.40000+ 1 2.05240- 9 2.50000+ 1 2.08140- 9 2.70000+ 1 3.92720- 9 2.90000+ 1 4.12030- 9 3.00000+ 1 4.54510- 9 3.20000+ 1 5.25180- 9 3.30000+ 1 5.41390- 9 4.10000+ 1 9.07470- 9 4.30000+ 1 1.04110- 8 4.40000+ 1 1.18320- 8 5.80000+ 1 2.93480- 8 1 87000 0 0 2.23000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.29930- 5 3.00000+ 0 1.83120- 6 5.00000+ 0 3.22240- 6 6.00000+ 0 2.74310- 6 8.00000+ 0 7.72930- 8 1.00000+ 1 8.56780- 8 1.10000+ 1 9.43520- 8 1.30000+ 1 1.20620- 7 1.40000+ 1 1.11920- 7 1.60000+ 1 3.63950- 9 1.80000+ 1 4.90410- 9 1.90000+ 1 3.28610- 9 2.10000+ 1 2.57120- 9 2.20000+ 1 2.03930- 9 2.40000+ 1 6.18550-11 2.50000+ 1 5.64950-11 2.70000+ 1 2.25130-10 2.90000+ 1 4.67140-10 3.00000+ 1 2.42280-10 1 87000 0 0 2.23000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.42460- 6 3.00000+ 0 1.28080- 5 5.00000+ 0 3.65040- 6 6.00000+ 0 4.10350- 6 8.00000+ 0 1.96630- 5 1.00000+ 1 1.41350- 5 1.10000+ 1 1.13070- 5 1.30000+ 1 2.89560- 6 1.40000+ 1 2.86590- 6 1.60000+ 1 1.52380- 5 1.80000+ 1 1.46750- 5 1.90000+ 1 9.61960- 6 2.10000+ 1 6.96010- 6 2.20000+ 1 6.29520- 6 2.40000+ 1 1.49930- 7 2.50000+ 1 1.51660- 7 2.70000+ 1 2.32340- 5 2.90000+ 1 8.96140- 6 3.00000+ 1 2.11630- 5 1 87000 0 0 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.61873- 4 3.00000+ 0 9.50937- 4 5.00000+ 0 6.70572- 4 6.00000+ 0 6.68268- 4 8.00000+ 0 7.03623- 4 1.00000+ 1 6.13085- 4 1.10000+ 1 5.44433- 4 1.30000+ 1 4.15483- 4 1.40000+ 1 4.06055- 4 1.60000+ 1 3.72264- 4 1.80000+ 1 3.56818- 4 1.90000+ 1 3.34646- 4 2.10000+ 1 2.62787- 4 2.20000+ 1 2.53057- 4 2.40000+ 1 1.54349- 4 2.50000+ 1 1.55604- 4 2.70000+ 1 1.72026- 4 2.90000+ 1 1.27210- 4 3.00000+ 1 1.24801- 4 3.20000+ 1 6.87300- 5 3.30000+ 1 6.35200- 5 4.10000+ 1 3.26400- 5 4.30000+ 1 1.92800- 5 4.40000+ 1 1.41400- 5 5.80000+ 1 3.80000- 6 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.38234+ 0 3.00000+ 0 5.10130- 1 5.00000+ 0 5.71341- 1 6.00000+ 0 4.66462- 1 8.00000+ 0 4.58533- 2 1.00000+ 1 4.59491- 2 1.10000+ 1 4.25868- 2 1.30000+ 1 4.93836- 2 1.40000+ 1 4.55956- 2 1.60000+ 1 1.52936- 3 1.80000+ 1 1.75870- 3 1.90000+ 1 1.00046- 3 2.10000+ 1 5.33954- 4 2.20000+ 1 4.72615- 4 2.40000+ 1 3.21491- 5 2.50000+ 1 2.75612- 5 2.70000+ 1 2.14655- 5 2.90000+ 1 1.80328- 5 3.00000+ 1 3.81909- 6 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.01548- 2 3.00000+ 0 5.94157- 3 5.00000+ 0 7.91582- 3 6.00000+ 0 5.22386- 3 8.00000+ 0 1.28786- 4 1.00000+ 1 1.29920- 4 1.10000+ 1 1.17099- 4 1.30000+ 1 1.37943- 4 1.40000+ 1 1.22447- 4 1.60000+ 1 8.29546- 7 1.80000+ 1 8.14775- 7 1.90000+ 1 4.49594- 7 2.10000+ 1 1.82472- 7 2.20000+ 1 1.51633- 7 2.40000+ 1 5.94497- 9 2.50000+ 1 5.10360- 9 2.70000+ 1 2.06403- 9 2.90000+ 1 2.08663- 9 3.00000+ 1 3.33225-10 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.91587+ 0 3.00000+ 0 1.46857+ 1 5.00000+ 0 1.00486+ 1 6.00000+ 0 1.00249+ 1 8.00000+ 0 1.06345+ 1 1.00000+ 1 9.11091+ 0 1.10000+ 1 7.99025+ 0 1.30000+ 1 5.83993+ 0 1.40000+ 1 5.70372+ 0 1.60000+ 1 5.14789+ 0 1.80000+ 1 4.87588+ 0 1.90000+ 1 4.51837+ 0 2.10000+ 1 3.31851+ 0 2.20000+ 1 3.17282+ 0 2.40000+ 1 1.54984+ 0 2.50000+ 1 1.58568+ 0 2.70000+ 1 1.82247+ 0 2.90000+ 1 1.04146+ 0 3.00000+ 1 9.99996- 1 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.07033- 2 3.00000+ 0 1.17375- 2 5.00000+ 0 9.38461- 3 6.00000+ 0 9.14187- 3 8.00000+ 0 3.78669- 3 1.00000+ 1 3.56949- 3 1.10000+ 1 2.98297- 3 1.30000+ 1 2.58547- 3 1.40000+ 1 2.47070- 3 1.60000+ 1 7.57207- 4 1.80000+ 1 6.35057- 4 1.90000+ 1 4.87705- 4 2.10000+ 1 3.34631- 4 2.20000+ 1 3.12741- 4 2.40000+ 1 1.15595- 4 2.50000+ 1 1.06461- 4 2.70000+ 1 6.03121- 5 2.90000+ 1 5.37874- 5 3.00000+ 1 1.91087- 5 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.85481- 1 8.35490- 2 6.00000+ 0 4.68502- 1 8.64860- 2 1.00000+ 1 5.31692- 2 9.72075- 2 1.10000+ 1 1.03330- 1 9.78755- 2 1.30000+ 1 1.64941- 3 9.83811- 2 1.40000+ 1 1.94061- 3 9.85208- 2 1.80000+ 1 1.30100- 2 1.00527- 1 1.90000+ 1 2.58971- 2 1.00697- 1 2.10000+ 1 4.62762- 4 1.00922- 1 2.20000+ 1 5.44812- 4 1.00954- 1 2.90000+ 1 3.09051- 3 1.01339- 1 3.00000+ 1 5.93622- 3 1.01376- 1 3.20000+ 1 8.03703- 5 1.01451- 1 3.30000+ 1 9.35093- 5 1.01456- 1 4.30000+ 1 4.32212- 4 1.01501- 1 4.40000+ 1 7.39993- 4 1.01506- 1 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 4.01906- 3 6.42600- 2 3.00000+ 0 5.00000+ 0 6.86636- 3 6.49190- 2 3.00000+ 0 6.00000+ 0 3.12856- 3 6.78560- 2 3.00000+ 0 8.00000+ 0 1.64265- 3 7.82709- 2 3.00000+ 0 1.00000+ 1 1.49288- 3 7.85775- 2 3.00000+ 0 1.10000+ 1 7.52572- 4 7.92455- 2 3.00000+ 0 1.30000+ 1 6.49178- 5 7.97511- 2 3.00000+ 0 1.40000+ 1 4.43176- 5 7.98908- 2 3.00000+ 0 1.60000+ 1 4.24220- 4 8.17597- 2 3.00000+ 0 1.80000+ 1 3.78205- 4 8.18973- 2 3.00000+ 0 1.90000+ 1 1.91502- 4 8.20672- 2 3.00000+ 0 2.10000+ 1 1.81591- 5 8.22924- 2 3.00000+ 0 2.20000+ 1 1.21997- 5 8.23240- 2 3.00000+ 0 2.40000+ 1 3.99988- 8 8.26200- 2 3.00000+ 0 2.50000+ 1 3.99988- 8 8.26279- 2 3.00000+ 0 2.70000+ 1 1.00034- 4 8.26577- 2 3.00000+ 0 2.90000+ 1 8.23952- 5 8.27090- 2 3.00000+ 0 3.00000+ 1 4.09178- 5 8.27461- 2 3.00000+ 0 3.20000+ 1 3.03976- 6 8.28213- 2 3.00000+ 0 3.30000+ 1 1.99982- 6 8.28265- 2 5.00000+ 0 5.00000+ 0 3.04744- 4 6.55780- 2 5.00000+ 0 6.00000+ 0 5.27720- 3 6.85150- 2 5.00000+ 0 8.00000+ 0 1.23073- 3 7.89299- 2 5.00000+ 0 1.00000+ 1 1.16599- 4 7.92365- 2 5.00000+ 0 1.10000+ 1 1.06836- 3 7.99045- 2 5.00000+ 0 1.30000+ 1 6.61590- 5 8.04101- 2 5.00000+ 0 1.40000+ 1 1.60830- 4 8.05498- 2 5.00000+ 0 1.60000+ 1 3.08380- 4 8.24187- 2 5.00000+ 0 1.80000+ 1 2.87184- 5 8.25563- 2 5.00000+ 0 1.90000+ 1 2.60945- 4 8.27262- 2 5.00000+ 0 2.10000+ 1 1.76793- 5 8.29514- 2 5.00000+ 0 2.20000+ 1 4.33171- 5 8.29830- 2 5.00000+ 0 2.40000+ 1 5.59979- 7 8.32790- 2 5.00000+ 0 2.50000+ 1 7.99939- 7 8.32869- 2 5.00000+ 0 2.70000+ 1 7.21962- 5 8.33167- 2 5.00000+ 0 2.90000+ 1 6.19964- 6 8.33680- 2 5.00000+ 0 3.00000+ 1 5.52385- 5 8.34051- 2 5.00000+ 0 3.20000+ 1 2.95986- 6 8.34803- 2 5.00000+ 0 3.30000+ 1 7.11985- 6 8.34855- 2 6.00000+ 0 6.00000+ 0 2.20037- 3 7.14520- 2 6.00000+ 0 8.00000+ 0 5.02631- 4 8.18669- 2 6.00000+ 0 1.00000+ 1 9.48093- 4 8.21735- 2 6.00000+ 0 1.10000+ 1 9.20157- 4 8.28415- 2 6.00000+ 0 1.30000+ 1 1.75872- 4 8.33471- 2 6.00000+ 0 1.40000+ 1 1.43070- 4 8.34868- 2 6.00000+ 0 1.60000+ 1 1.22673- 4 8.53557- 2 6.00000+ 0 1.80000+ 1 2.30104- 4 8.54933- 2 6.00000+ 0 1.90000+ 1 2.26778- 4 8.56632- 2 6.00000+ 0 2.10000+ 1 4.76369- 5 8.58884- 2 6.00000+ 0 2.20000+ 1 3.86798- 5 8.59200- 2 6.00000+ 0 2.40000+ 1 8.39964- 7 8.62160- 2 6.00000+ 0 2.50000+ 1 9.19980- 7 8.62239- 2 6.00000+ 0 2.70000+ 1 2.85177- 5 8.62537- 2 6.00000+ 0 2.90000+ 1 4.96357- 5 8.63050- 2 6.00000+ 0 3.00000+ 1 4.81181- 5 8.63421- 2 6.00000+ 0 3.20000+ 1 7.95944- 6 8.64173- 2 6.00000+ 0 3.30000+ 1 6.35956- 6 8.64225- 2 8.00000+ 0 8.00000+ 0 1.65075- 4 9.22818- 2 8.00000+ 0 1.00000+ 1 2.67705- 4 9.25884- 2 8.00000+ 0 1.10000+ 1 1.21753- 4 9.32564- 2 8.00000+ 0 1.30000+ 1 1.02394- 5 9.37620- 2 8.00000+ 0 1.40000+ 1 6.55988- 6 9.39017- 2 8.00000+ 0 1.60000+ 1 8.49552- 5 9.57706- 2 8.00000+ 0 1.80000+ 1 6.78369- 5 9.59082- 2 8.00000+ 0 1.90000+ 1 3.10396- 5 9.60781- 2 8.00000+ 0 2.10000+ 1 2.87992- 6 9.63033- 2 8.00000+ 0 2.20000+ 1 1.79996- 6 9.63349- 2 8.00000+ 0 2.70000+ 1 2.00394- 5 9.66686- 2 8.00000+ 0 2.90000+ 1 1.47992- 5 9.67199- 2 8.00000+ 0 3.00000+ 1 6.63969- 6 9.67570- 2 8.00000+ 0 3.20000+ 1 4.79961- 7 9.68322- 2 8.00000+ 0 3.30000+ 1 2.79977- 7 9.68374- 2 1.00000+ 1 1.00000+ 1 1.07195- 5 9.28950- 2 1.00000+ 1 1.10000+ 1 1.97912- 4 9.35630- 2 1.00000+ 1 1.30000+ 1 1.06393- 5 9.40686- 2 1.00000+ 1 1.40000+ 1 2.15993- 5 9.42083- 2 1.00000+ 1 1.60000+ 1 6.70749- 5 9.60772- 2 1.00000+ 1 1.80000+ 1 5.23986- 6 9.62148- 2 1.00000+ 1 1.90000+ 1 4.86773- 5 9.63847- 2 1.00000+ 1 2.10000+ 1 2.87995- 6 9.66099- 2 1.00000+ 1 2.20000+ 1 5.87995- 6 9.66415- 2 1.00000+ 1 2.40000+ 1 7.99942- 8 9.69375- 2 1.00000+ 1 2.50000+ 1 7.99942- 8 9.69454- 2 1.00000+ 1 2.70000+ 1 1.56796- 5 9.69752- 2 1.00000+ 1 2.90000+ 1 1.11998- 6 9.70265- 2 1.00000+ 1 3.00000+ 1 1.03196- 5 9.70636- 2 1.00000+ 1 3.20000+ 1 4.79965- 7 9.71388- 2 1.00000+ 1 3.30000+ 1 9.59975- 7 9.71440- 2 1.10000+ 1 1.10000+ 1 9.72768- 5 9.42310- 2 1.10000+ 1 1.30000+ 1 2.96387- 5 9.47366- 2 1.10000+ 1 1.40000+ 1 2.32800- 5 9.48763- 2 1.10000+ 1 1.60000+ 1 2.97596- 5 9.67452- 2 1.10000+ 1 1.80000+ 1 4.83181- 5 9.68828- 2 1.10000+ 1 1.90000+ 1 4.80399- 5 9.70527- 2 1.10000+ 1 2.10000+ 1 8.11959- 6 9.72779- 2 1.10000+ 1 2.20000+ 1 6.31972- 6 9.73095- 2 1.10000+ 1 2.40000+ 1 1.19992- 7 9.76055- 2 1.10000+ 1 2.50000+ 1 1.19992- 7 9.76134- 2 1.10000+ 1 2.70000+ 1 6.91990- 6 9.76432- 2 1.10000+ 1 2.90000+ 1 1.04394- 5 9.76945- 2 1.10000+ 1 3.00000+ 1 1.01996- 5 9.77316- 2 1.10000+ 1 3.20000+ 1 1.35989- 6 9.78068- 2 1.10000+ 1 3.30000+ 1 1.03994- 6 9.78120- 2 1.30000+ 1 1.30000+ 1 7.99927- 8 9.52422- 2 1.30000+ 1 1.40000+ 1 3.31977- 6 9.53819- 2 1.30000+ 1 1.60000+ 1 2.51995- 6 9.72508- 2 1.30000+ 1 1.80000+ 1 2.51995- 6 9.73884- 2 1.30000+ 1 1.90000+ 1 6.95967- 6 9.75583- 2 1.30000+ 1 2.10000+ 1 3.99986- 8 9.77835- 2 1.30000+ 1 2.20000+ 1 8.79941- 7 9.78151- 2 1.30000+ 1 2.70000+ 1 5.99955- 7 9.81488- 2 1.30000+ 1 2.90000+ 1 5.59971- 7 9.82001- 2 1.30000+ 1 3.00000+ 1 1.43989- 6 9.82372- 2 1.30000+ 1 3.30000+ 1 1.59986- 7 9.83176- 2 1.40000+ 1 1.40000+ 1 7.99924- 7 9.55216- 2 1.40000+ 1 1.60000+ 1 1.59985- 6 9.73905- 2 1.40000+ 1 1.80000+ 1 4.87981- 6 9.75281- 2 1.40000+ 1 1.90000+ 1 5.39970- 6 9.76980- 2 1.40000+ 1 2.10000+ 1 8.79938- 7 9.79232- 2 1.40000+ 1 2.20000+ 1 3.99985- 7 9.79548- 2 1.40000+ 1 2.70000+ 1 3.59999- 7 9.82885- 2 1.40000+ 1 2.90000+ 1 1.03992- 6 9.83398- 2 1.40000+ 1 3.00000+ 1 1.11996- 6 9.83769- 2 1.40000+ 1 3.20000+ 1 1.59985- 7 9.84521- 2 1.40000+ 1 3.30000+ 1 7.99924- 8 9.84573- 2 1.60000+ 1 1.60000+ 1 1.09195- 5 9.92594- 2 1.60000+ 1 1.80000+ 1 1.69999- 5 9.93970- 2 1.60000+ 1 1.90000+ 1 7.59955- 6 9.95669- 2 1.60000+ 1 2.10000+ 1 7.19968- 7 9.97921- 2 1.60000+ 1 2.20000+ 1 4.39980- 7 9.98237- 2 1.60000+ 1 2.70000+ 1 5.15959- 6 1.00157- 1 1.60000+ 1 2.90000+ 1 3.71980- 6 1.00209- 1 1.60000+ 1 3.00000+ 1 1.63991- 6 1.00246- 1 1.60000+ 1 3.20000+ 1 1.19991- 7 1.00321- 1 1.60000+ 1 3.30000+ 1 7.99941- 8 1.00326- 1 1.80000+ 1 1.80000+ 1 6.39949- 7 9.95346- 2 1.80000+ 1 1.90000+ 1 1.19193- 5 9.97045- 2 1.80000+ 1 2.10000+ 1 6.79979- 7 9.99297- 2 1.80000+ 1 2.20000+ 1 1.31997- 6 9.99614- 2 1.80000+ 1 2.70000+ 1 3.96000- 6 1.00295- 1 1.80000+ 1 2.90000+ 1 2.79978- 7 1.00346- 1 1.80000+ 1 3.00000+ 1 2.51998- 6 1.00383- 1 1.80000+ 1 3.20000+ 1 1.19991- 7 1.00459- 1 1.80000+ 1 3.30000+ 1 2.39981- 7 1.00464- 1 1.90000+ 1 1.90000+ 1 5.94082- 6 9.98744- 2 1.90000+ 1 2.10000+ 1 1.92673- 6 1.00100- 1 1.90000+ 1 2.20000+ 1 1.48518- 6 1.00131- 1 1.90000+ 1 2.40000+ 1 4.01410- 8 1.00427- 1 1.90000+ 1 2.50000+ 1 4.01410- 8 1.00435- 1 1.90000+ 1 2.70000+ 1 1.76619- 6 1.00465- 1 1.90000+ 1 2.90000+ 1 2.56898- 6 1.00516- 1 1.90000+ 1 3.00000+ 1 2.52892- 6 1.00553- 1 1.90000+ 1 3.20000+ 1 3.21122- 7 1.00628- 1 1.90000+ 1 3.30000+ 1 2.40833- 7 1.00634- 1 2.10000+ 1 2.20000+ 1 2.39980- 7 1.00356- 1 2.10000+ 1 2.70000+ 1 1.59987- 7 1.00690- 1 2.10000+ 1 2.90000+ 1 1.59987- 7 1.00741- 1 2.10000+ 1 3.00000+ 1 3.99990- 7 1.00778- 1 2.10000+ 1 3.30000+ 1 3.99990- 8 1.00859- 1 2.20000+ 1 2.20000+ 1 4.15416- 8 1.00388- 1 2.20000+ 1 2.70000+ 1 1.24618- 7 1.00722- 1 2.20000+ 1 2.90000+ 1 2.90775- 7 1.00773- 1 2.20000+ 1 3.00000+ 1 3.32326- 7 1.00810- 1 2.20000+ 1 3.20000+ 1 4.15416- 8 1.00885- 1 2.70000+ 1 2.70000+ 1 6.14640- 7 1.01055- 1 2.70000+ 1 2.90000+ 1 9.01478- 7 1.01107- 1 2.70000+ 1 3.00000+ 1 3.68811- 7 1.01144- 1 2.70000+ 1 3.20000+ 1 4.09776- 8 1.01219- 1 2.90000+ 1 2.90000+ 1 4.05807- 8 1.01158- 1 2.90000+ 1 3.00000+ 1 5.68120- 7 1.01195- 1 2.90000+ 1 3.20000+ 1 4.05807- 8 1.01270- 1 2.90000+ 1 3.30000+ 1 4.05807- 8 1.01275- 1 3.00000+ 1 3.00000+ 1 2.79979- 7 1.01232- 1 3.00000+ 1 3.20000+ 1 7.99937- 8 1.01307- 1 3.00000+ 1 3.30000+ 1 3.99991- 8 1.01313- 1 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.22910- 5 6.59000- 4 6.00000+ 0 5.03599- 3 3.59600- 3 1.00000+ 1 4.22069- 2 1.43175- 2 1.10000+ 1 4.15149- 2 1.49855- 2 1.30000+ 1 1.73010- 3 1.54911- 2 1.40000+ 1 2.58449- 3 1.56308- 2 1.80000+ 1 1.11530- 2 1.76373- 2 1.90000+ 1 1.22340- 2 1.78072- 2 2.10000+ 1 2.79979- 4 1.80324- 2 2.20000+ 1 4.46459- 4 1.80640- 2 2.90000+ 1 2.47419- 3 1.84490- 2 3.00000+ 1 2.71909- 3 1.84861- 2 3.20000+ 1 4.32649- 5 1.85613- 2 3.30000+ 1 6.92278- 5 1.85665- 2 4.30000+ 1 3.73249- 4 1.86107- 2 4.40000+ 1 3.62439- 4 1.86159- 2 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.10000+ 1 4.62937- 3 6.14000- 5 5.00000+ 0 2.20000+ 1 6.02166- 3 9.30500- 5 5.00000+ 0 2.40000+ 1 1.38867- 2 3.89050- 4 5.00000+ 0 2.50000+ 1 1.83559- 2 3.96930- 4 5.00000+ 0 2.70000+ 1 4.86225- 3 4.26660- 4 5.00000+ 0 2.90000+ 1 3.74184- 3 4.78000- 4 5.00000+ 0 3.00000+ 1 3.20834- 3 5.15090- 4 5.00000+ 0 3.20000+ 1 7.77278- 4 5.90270- 4 5.00000+ 0 3.30000+ 1 1.01250- 3 5.95480- 4 6.00000+ 0 1.30000+ 1 2.23894- 1 4.57100- 4 6.00000+ 0 1.40000+ 1 2.77365- 1 5.96800- 4 6.00000+ 0 1.60000+ 1 1.79983- 2 2.46570- 3 6.00000+ 0 1.80000+ 1 7.05552- 3 2.60331- 3 6.00000+ 0 1.90000+ 1 1.02713- 2 2.77320- 3 6.00000+ 0 2.10000+ 1 3.21717- 2 2.99840- 3 6.00000+ 0 2.20000+ 1 3.76771- 2 3.03005- 3 6.00000+ 0 2.40000+ 1 2.11890- 2 3.32605- 3 6.00000+ 0 2.50000+ 1 2.61733- 2 3.33393- 3 6.00000+ 0 2.70000+ 1 4.02424- 3 3.36366- 3 6.00000+ 0 2.90000+ 1 1.51143- 3 3.41500- 3 6.00000+ 0 3.00000+ 1 2.18002- 3 3.45209- 3 6.00000+ 0 3.20000+ 1 4.91008- 3 3.52727- 3 6.00000+ 0 3.30000+ 1 5.60702- 3 3.53248- 3 8.00000+ 0 8.00000+ 0 5.38156- 3 9.39180- 3 8.00000+ 0 1.00000+ 1 1.11682- 2 9.69840- 3 8.00000+ 0 1.10000+ 1 1.66706- 2 1.03664- 2 8.00000+ 0 1.30000+ 1 1.20309- 2 1.08720- 2 8.00000+ 0 1.40000+ 1 1.49870- 2 1.10117- 2 8.00000+ 0 1.60000+ 1 2.36441- 3 1.28806- 2 8.00000+ 0 1.80000+ 1 2.79971- 3 1.30182- 2 8.00000+ 0 1.90000+ 1 4.13828- 3 1.31881- 2 8.00000+ 0 2.10000+ 1 2.78749- 3 1.34133- 2 8.00000+ 0 2.20000+ 1 3.45086- 3 1.34449- 2 8.00000+ 0 2.40000+ 1 2.49408- 4 1.37409- 2 8.00000+ 0 2.50000+ 1 2.66363- 4 1.37488- 2 8.00000+ 0 2.70000+ 1 5.42215- 4 1.37786- 2 8.00000+ 0 2.90000+ 1 6.07791- 4 1.38299- 2 8.00000+ 0 3.00000+ 1 8.78832- 4 1.38670- 2 8.00000+ 0 3.20000+ 1 4.52448- 4 1.39422- 2 8.00000+ 0 3.30000+ 1 5.51714- 4 1.39474- 2 1.00000+ 1 1.00000+ 1 1.65793- 5 1.00050- 2 1.00000+ 1 1.10000+ 1 2.08264- 4 1.06730- 2 1.00000+ 1 1.30000+ 1 7.13802- 4 1.11786- 2 1.00000+ 1 1.40000+ 1 5.36834- 3 1.13183- 2 1.00000+ 1 1.60000+ 1 1.93984- 3 1.31872- 2 1.00000+ 1 1.80000+ 1 2.04907- 6 1.33248- 2 1.00000+ 1 1.90000+ 1 4.24716- 5 1.34947- 2 1.00000+ 1 2.10000+ 1 1.41010- 4 1.37199- 2 1.00000+ 1 2.20000+ 1 7.93000- 4 1.37515- 2 1.00000+ 1 2.40000+ 1 9.23948- 5 1.40475- 2 1.00000+ 1 2.50000+ 1 3.20394- 4 1.40554- 2 1.00000+ 1 2.70000+ 1 4.18372- 4 1.40852- 2 1.00000+ 1 2.90000+ 1 3.72555- 7 1.41365- 2 1.00000+ 1 3.00000+ 1 8.56877- 6 1.41736- 2 1.00000+ 1 3.20000+ 1 2.25391- 5 1.42488- 2 1.00000+ 1 3.30000+ 1 1.16979- 4 1.42540- 2 1.10000+ 1 1.10000+ 1 6.36096- 4 1.13410- 2 1.10000+ 1 1.30000+ 1 1.60802- 3 1.18466- 2 1.10000+ 1 1.40000+ 1 9.78768- 4 1.19863- 2 1.10000+ 1 1.60000+ 1 2.82825- 3 1.38552- 2 1.10000+ 1 1.80000+ 1 5.27129- 5 1.39928- 2 1.10000+ 1 1.90000+ 1 2.42511- 4 1.41627- 2 1.10000+ 1 2.10000+ 1 1.56643- 4 1.43879- 2 1.10000+ 1 2.20000+ 1 7.17112- 5 1.44195- 2 1.10000+ 1 2.40000+ 1 1.28515- 4 1.47155- 2 1.10000+ 1 2.50000+ 1 1.08955- 4 1.47234- 2 1.10000+ 1 2.70000+ 1 6.06474- 4 1.47532- 2 1.10000+ 1 2.90000+ 1 1.13625- 5 1.48045- 2 1.10000+ 1 3.00000+ 1 4.88008- 5 1.48416- 2 1.10000+ 1 3.20000+ 1 2.14203- 5 1.49168- 2 1.10000+ 1 3.30000+ 1 8.94076- 6 1.49220- 2 1.30000+ 1 1.30000+ 1 6.96996- 4 1.23522- 2 1.30000+ 1 1.40000+ 1 1.98703- 2 1.24919- 2 1.30000+ 1 1.60000+ 1 1.85113- 3 1.43608- 2 1.30000+ 1 1.80000+ 1 2.12341- 4 1.44984- 2 1.30000+ 1 1.90000+ 1 4.43130- 4 1.46683- 2 1.30000+ 1 2.10000+ 1 3.14041- 4 1.48935- 2 1.30000+ 1 2.20000+ 1 3.19132- 3 1.49251- 2 1.30000+ 1 2.40000+ 1 2.55000- 4 1.52211- 2 1.30000+ 1 2.50000+ 1 6.97407- 4 1.52290- 2 1.30000+ 1 2.70000+ 1 3.88556- 4 1.52588- 2 1.30000+ 1 2.90000+ 1 4.78703- 5 1.53101- 2 1.30000+ 1 3.00000+ 1 9.62994- 5 1.53472- 2 1.30000+ 1 3.20000+ 1 5.08504- 5 1.54224- 2 1.30000+ 1 3.30000+ 1 4.75726- 4 1.54276- 2 1.40000+ 1 1.40000+ 1 5.45190- 3 1.26316- 2 1.40000+ 1 1.60000+ 1 2.34132- 3 1.45005- 2 1.40000+ 1 1.80000+ 1 1.18763- 3 1.46381- 2 1.40000+ 1 1.90000+ 1 2.68402- 4 1.48080- 2 1.40000+ 1 2.10000+ 1 3.07022- 3 1.50332- 2 1.40000+ 1 2.20000+ 1 1.84800- 3 1.50648- 2 1.40000+ 1 2.40000+ 1 7.66245- 4 1.53608- 2 1.40000+ 1 2.50000+ 1 5.73129- 4 1.53687- 2 1.40000+ 1 2.70000+ 1 4.94716- 4 1.53985- 2 1.40000+ 1 2.90000+ 1 2.51267- 4 1.54498- 2 1.40000+ 1 3.00000+ 1 5.86736- 5 1.54869- 2 1.40000+ 1 3.20000+ 1 4.60436- 4 1.55621- 2 1.40000+ 1 3.30000+ 1 2.79023- 4 1.55673- 2 1.60000+ 1 1.60000+ 1 2.45499- 4 1.63694- 2 1.60000+ 1 1.80000+ 1 4.88201- 4 1.65070- 2 1.60000+ 1 1.90000+ 1 7.06303- 4 1.66769- 2 1.60000+ 1 2.10000+ 1 4.31573- 4 1.69021- 2 1.60000+ 1 2.20000+ 1 5.38675- 4 1.69337- 2 1.60000+ 1 2.40000+ 1 3.20374- 5 1.72297- 2 1.60000+ 1 2.50000+ 1 3.25965- 5 1.72376- 2 1.60000+ 1 2.70000+ 1 1.11200- 4 1.72674- 2 1.60000+ 1 2.90000+ 1 1.05990- 4 1.73187- 2 1.60000+ 1 3.00000+ 1 1.50131- 4 1.73558- 2 1.60000+ 1 3.20000+ 1 7.00341- 5 1.74310- 2 1.60000+ 1 3.30000+ 1 8.60522- 5 1.74362- 2 1.80000+ 1 1.90000+ 1 1.08036- 5 1.68145- 2 1.80000+ 1 2.10000+ 1 3.76268- 5 1.70397- 2 1.80000+ 1 2.20000+ 1 1.82732- 4 1.70714- 2 1.80000+ 1 2.40000+ 1 1.30383- 5 1.73674- 2 1.80000+ 1 2.50000+ 1 5.15969- 5 1.73752- 2 1.80000+ 1 2.70000+ 1 1.05240- 4 1.74050- 2 1.80000+ 1 3.00000+ 1 2.23528- 6 1.74934- 2 1.80000+ 1 3.20000+ 1 5.96068- 6 1.75686- 2 1.80000+ 1 3.30000+ 1 2.71960- 5 1.75738- 2 1.90000+ 1 1.90000+ 1 2.21663- 5 1.69844- 2 1.90000+ 1 2.10000+ 1 4.69401- 5 1.72096- 2 1.90000+ 1 2.20000+ 1 2.40293- 5 1.72412- 2 1.90000+ 1 2.40000+ 1 2.84986- 5 1.75372- 2 1.90000+ 1 2.50000+ 1 2.34701- 5 1.75451- 2 1.90000+ 1 2.70000+ 1 1.51627- 4 1.75749- 2 1.90000+ 1 2.90000+ 1 2.42147- 6 1.76262- 2 1.90000+ 1 3.00000+ 1 8.94096- 6 1.76633- 2 1.90000+ 1 3.20000+ 1 6.51943- 6 1.77385- 2 1.90000+ 1 3.30000+ 1 3.16652- 6 1.77437- 2 2.10000+ 1 2.10000+ 1 3.27828- 5 1.74348- 2 2.10000+ 1 2.20000+ 1 5.40168- 4 1.74664- 2 2.10000+ 1 2.40000+ 1 3.98616- 5 1.77624- 2 2.10000+ 1 2.50000+ 1 8.19587- 5 1.77703- 2 2.10000+ 1 2.70000+ 1 9.07146- 5 1.78001- 2 2.10000+ 1 2.90000+ 1 8.38205- 6 1.78514- 2 2.10000+ 1 3.00000+ 1 1.04316- 5 1.78885- 2 2.10000+ 1 3.20000+ 1 1.04316- 5 1.79637- 2 2.10000+ 1 3.30000+ 1 8.17673- 5 1.79689- 2 2.20000+ 1 2.20000+ 1 1.68198- 4 1.74981- 2 2.20000+ 1 2.40000+ 1 9.61158- 5 1.77941- 2 2.20000+ 1 2.50000+ 1 7.97201- 5 1.78020- 2 2.20000+ 1 2.70000+ 1 1.13625- 4 1.78317- 2 2.20000+ 1 2.90000+ 1 3.89296- 5 1.78830- 2 2.20000+ 1 3.00000+ 1 5.40168- 6 1.79201- 2 2.20000+ 1 3.20000+ 1 8.23285- 5 1.79953- 2 2.20000+ 1 3.30000+ 1 5.14094- 5 1.80005- 2 2.40000+ 1 2.40000+ 1 1.12997- 6 1.80901- 2 2.40000+ 1 2.50000+ 1 2.09063- 5 1.80980- 2 2.40000+ 1 2.70000+ 1 6.59196- 6 1.81277- 2 2.40000+ 1 2.90000+ 1 2.44841- 6 1.81790- 2 2.40000+ 1 3.00000+ 1 5.83861- 6 1.82161- 2 2.40000+ 1 3.20000+ 1 6.02697- 6 1.82913- 2 2.40000+ 1 3.30000+ 1 1.37487- 5 1.82965- 2 2.50000+ 1 2.50000+ 1 4.63580- 6 1.81059- 2 2.50000+ 1 2.70000+ 1 7.05438- 6 1.81356- 2 2.50000+ 1 2.90000+ 1 1.10850- 5 1.81869- 2 2.50000+ 1 3.00000+ 1 5.24041- 6 1.82240- 2 2.50000+ 1 3.20000+ 1 1.26985- 5 1.82992- 2 2.50000+ 1 3.30000+ 1 1.24968- 5 1.83044- 2 2.70000+ 1 2.70000+ 1 1.55730- 5 1.81653- 2 2.70000+ 1 2.90000+ 1 2.85913- 5 1.82167- 2 2.70000+ 1 3.00000+ 1 4.02139- 5 1.82537- 2 2.70000+ 1 3.20000+ 1 1.83642- 5 1.83289- 2 2.70000+ 1 3.30000+ 1 2.25473- 5 1.83341- 2 2.90000+ 1 3.00000+ 1 7.53587- 7 1.83051- 2 2.90000+ 1 3.20000+ 1 1.75828- 6 1.83803- 2 2.90000+ 1 3.30000+ 1 7.78710- 6 1.83855- 2 3.00000+ 1 3.00000+ 1 1.41005- 6 1.83422- 2 3.00000+ 1 3.20000+ 1 2.25634- 6 1.84174- 2 3.00000+ 1 3.30000+ 1 1.12810- 6 1.84226- 2 3.20000+ 1 3.20000+ 1 7.56657- 7 1.84925- 2 3.20000+ 1 3.30000+ 1 1.26733- 5 1.84977- 2 3.30000+ 1 3.30000+ 1 3.78199- 6 1.85030- 2 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.14170- 5 2.93700- 3 8.00000+ 0 1.00500- 2 1.33519- 2 1.10000+ 1 4.64630- 4 1.43265- 2 1.30000+ 1 3.64010- 1 1.48321- 2 1.60000+ 1 2.66290- 3 1.68407- 2 1.90000+ 1 1.34680- 4 1.71482- 2 2.10000+ 1 7.84550- 2 1.73734- 2 2.40000+ 1 4.09910- 4 1.77010- 2 2.70000+ 1 6.35580- 4 1.77387- 2 3.00000+ 1 2.98450- 5 1.78271- 2 3.20000+ 1 1.29500- 2 1.79023- 2 4.10000+ 1 1.13360- 4 1.79384- 2 4.40000+ 1 3.97600- 6 1.79569- 2 5.80000+ 1 3.95970- 6 1.79672- 2 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.60000+ 1 4.40279- 3 1.80670- 3 6.00000+ 0 1.80000+ 1 3.39405- 2 1.94431- 3 6.00000+ 0 1.90000+ 1 8.68243- 3 2.11420- 3 6.00000+ 0 2.10000+ 1 3.20672- 2 2.33940- 3 6.00000+ 0 2.20000+ 1 1.09069- 2 2.37105- 3 6.00000+ 0 2.40000+ 1 1.46813- 3 2.66705- 3 6.00000+ 0 2.50000+ 1 2.15385- 3 2.67493- 3 6.00000+ 0 2.70000+ 1 9.53431- 4 2.70466- 3 6.00000+ 0 2.90000+ 1 6.73767- 3 2.75600- 3 6.00000+ 0 3.00000+ 1 1.79388- 3 2.79309- 3 6.00000+ 0 3.20000+ 1 4.98961- 3 2.86827- 3 6.00000+ 0 3.30000+ 1 1.69357- 3 2.87348- 3 8.00000+ 0 8.00000+ 0 4.88763- 4 8.73280- 3 8.00000+ 0 1.00000+ 1 1.87199- 2 9.03940- 3 8.00000+ 0 1.10000+ 1 1.70024- 3 9.70740- 3 8.00000+ 0 1.30000+ 1 3.25058- 3 1.02130- 2 8.00000+ 0 1.40000+ 1 1.46301- 3 1.03527- 2 8.00000+ 0 1.60000+ 1 1.93207- 4 1.22216- 2 8.00000+ 0 1.80000+ 1 3.09580- 3 1.23592- 2 8.00000+ 0 1.90000+ 1 3.79308- 4 1.25291- 2 8.00000+ 0 2.10000+ 1 5.33393- 4 1.27543- 2 8.00000+ 0 2.20000+ 1 2.04663- 4 1.27859- 2 8.00000+ 0 2.40000+ 1 8.29748- 5 1.30819- 2 8.00000+ 0 2.50000+ 1 5.88730- 5 1.30898- 2 8.00000+ 0 2.70000+ 1 4.30671- 5 1.31196- 2 8.00000+ 0 2.90000+ 1 6.15186- 4 1.31709- 2 8.00000+ 0 3.00000+ 1 7.86287- 5 1.32080- 2 8.00000+ 0 3.20000+ 1 8.13950- 5 1.32832- 2 8.00000+ 0 3.30000+ 1 3.00278- 5 1.32884- 2 1.00000+ 1 1.00000+ 1 1.98019- 2 9.34600- 3 1.00000+ 1 1.10000+ 1 4.74637- 2 1.00140- 2 1.00000+ 1 1.30000+ 1 2.42469- 2 1.05196- 2 1.00000+ 1 1.40000+ 1 3.26917- 2 1.06593- 2 1.00000+ 1 1.60000+ 1 4.95444- 3 1.25282- 2 1.00000+ 1 1.80000+ 1 8.35374- 3 1.26658- 2 1.00000+ 1 1.90000+ 1 1.15735- 2 1.28357- 2 1.00000+ 1 2.10000+ 1 5.60703- 3 1.30609- 2 1.00000+ 1 2.20000+ 1 7.56076- 3 1.30925- 2 1.00000+ 1 2.40000+ 1 4.48449- 4 1.33885- 2 1.00000+ 1 2.50000+ 1 3.75748- 4 1.33964- 2 1.00000+ 1 2.70000+ 1 1.17352- 3 1.34262- 2 1.00000+ 1 2.90000+ 1 1.75864- 3 1.34775- 2 1.00000+ 1 3.00000+ 1 2.44894- 3 1.35146- 2 1.00000+ 1 3.20000+ 1 9.10333- 4 1.35898- 2 1.00000+ 1 3.30000+ 1 1.21064- 3 1.35950- 2 1.10000+ 1 1.10000+ 1 1.02850- 3 1.06820- 2 1.10000+ 1 1.30000+ 1 2.02207- 2 1.11876- 2 1.10000+ 1 1.40000+ 1 3.02423- 3 1.13273- 2 1.10000+ 1 1.60000+ 1 3.76152- 4 1.31962- 2 1.10000+ 1 1.80000+ 1 7.95246- 3 1.33338- 2 1.10000+ 1 1.90000+ 1 4.32656- 4 1.35037- 2 1.10000+ 1 2.10000+ 1 3.96500- 3 1.37289- 2 1.10000+ 1 2.20000+ 1 5.74107- 4 1.37605- 2 1.10000+ 1 2.40000+ 1 1.63965- 4 1.40565- 2 1.10000+ 1 2.50000+ 1 8.37648- 5 1.40644- 2 1.10000+ 1 2.70000+ 1 8.53435- 5 1.40942- 2 1.10000+ 1 2.90000+ 1 1.58317- 3 1.41455- 2 1.10000+ 1 3.00000+ 1 8.85032- 5 1.41826- 2 1.10000+ 1 3.20000+ 1 6.23507- 4 1.42578- 2 1.10000+ 1 3.30000+ 1 8.89004- 5 1.42630- 2 1.30000+ 1 1.30000+ 1 1.92245- 2 1.16932- 2 1.30000+ 1 1.40000+ 1 7.50866- 2 1.18329- 2 1.30000+ 1 1.60000+ 1 8.60529- 4 1.37018- 2 1.30000+ 1 1.80000+ 1 3.91745- 3 1.38394- 2 1.30000+ 1 1.90000+ 1 4.55352- 3 1.40093- 2 1.30000+ 1 2.10000+ 1 7.36186- 3 1.42345- 2 1.30000+ 1 2.20000+ 1 1.55270- 2 1.42661- 2 1.30000+ 1 2.40000+ 1 1.49633- 3 1.45621- 2 1.30000+ 1 2.50000+ 1 2.99724- 3 1.45700- 2 1.30000+ 1 2.70000+ 1 2.04270- 4 1.45998- 2 1.30000+ 1 2.90000+ 1 7.80704- 4 1.46511- 2 1.30000+ 1 3.00000+ 1 9.47091- 4 1.46882- 2 1.30000+ 1 3.20000+ 1 1.15852- 3 1.47634- 2 1.30000+ 1 3.30000+ 1 2.43430- 3 1.47686- 2 1.40000+ 1 1.40000+ 1 3.65709- 3 1.19726- 2 1.40000+ 1 1.60000+ 1 3.11740- 4 1.38415- 2 1.40000+ 1 1.80000+ 1 4.64875- 3 1.39791- 2 1.40000+ 1 1.90000+ 1 6.27841- 4 1.41490- 2 1.40000+ 1 2.10000+ 1 1.18008- 2 1.43742- 2 1.40000+ 1 2.20000+ 1 1.37817- 3 1.44058- 2 1.40000+ 1 2.40000+ 1 5.97423- 4 1.47018- 2 1.40000+ 1 2.50000+ 1 2.27573- 4 1.47097- 2 1.40000+ 1 2.70000+ 1 7.03266- 5 1.47395- 2 1.40000+ 1 2.90000+ 1 8.91758- 4 1.47908- 2 1.40000+ 1 3.00000+ 1 1.28406- 4 1.48279- 2 1.40000+ 1 3.20000+ 1 1.78075- 3 1.49031- 2 1.40000+ 1 3.30000+ 1 2.13363- 4 1.49083- 2 1.60000+ 1 1.60000+ 1 1.81754- 5 1.57104- 2 1.60000+ 1 1.80000+ 1 8.24254- 4 1.58480- 2 1.60000+ 1 1.90000+ 1 8.45559- 5 1.60179- 2 1.60000+ 1 2.10000+ 1 1.37901- 4 1.62431- 2 1.60000+ 1 2.20000+ 1 4.34631- 5 1.62747- 2 1.60000+ 1 2.40000+ 1 1.89657- 5 1.65707- 2 1.60000+ 1 2.50000+ 1 1.10637- 5 1.65786- 2 1.60000+ 1 2.70000+ 1 7.90223- 6 1.66084- 2 1.60000+ 1 2.90000+ 1 1.63968- 4 1.66597- 2 1.60000+ 1 3.00000+ 1 1.73859- 5 1.66968- 2 1.60000+ 1 3.20000+ 1 2.09418- 5 1.67720- 2 1.60000+ 1 3.30000+ 1 6.32213- 6 1.67772- 2 1.80000+ 1 1.80000+ 1 8.37620- 4 1.59856- 2 1.80000+ 1 1.90000+ 1 1.94627- 3 1.61555- 2 1.80000+ 1 2.10000+ 1 8.93325- 4 1.63807- 2 1.80000+ 1 2.20000+ 1 1.08695- 3 1.64124- 2 1.80000+ 1 2.40000+ 1 5.96612- 5 1.67084- 2 1.80000+ 1 2.50000+ 1 3.91148- 5 1.67162- 2 1.80000+ 1 2.70000+ 1 1.95565- 4 1.67460- 2 1.80000+ 1 2.90000+ 1 3.48866- 4 1.67973- 2 1.80000+ 1 3.00000+ 1 4.12094- 4 1.68344- 2 1.80000+ 1 3.20000+ 1 1.44600- 4 1.69096- 2 1.80000+ 1 3.30000+ 1 1.74238- 4 1.69148- 2 1.90000+ 1 1.90000+ 1 4.54377- 5 1.63254- 2 1.90000+ 1 2.10000+ 1 8.98875- 4 1.65506- 2 1.90000+ 1 2.20000+ 1 1.20905- 4 1.65822- 2 1.90000+ 1 2.40000+ 1 3.24003- 5 1.68782- 2 1.90000+ 1 2.50000+ 1 1.50145- 5 1.68861- 2 1.90000+ 1 2.70000+ 1 1.93608- 5 1.69159- 2 1.90000+ 1 2.90000+ 1 3.87613- 4 1.69672- 2 1.90000+ 1 3.00000+ 1 1.85703- 5 1.70043- 2 1.90000+ 1 3.20000+ 1 1.41452- 4 1.70795- 2 1.90000+ 1 3.30000+ 1 1.85703- 5 1.70847- 2 2.10000+ 1 2.10000+ 1 6.99708- 4 1.67758- 2 2.10000+ 1 2.20000+ 1 2.54296- 3 1.68074- 2 2.10000+ 1 2.40000+ 1 1.97155- 4 1.71034- 2 2.10000+ 1 2.50000+ 1 3.97082- 4 1.71113- 2 2.10000+ 1 2.70000+ 1 3.23993- 5 1.71411- 2 2.10000+ 1 2.90000+ 1 1.77006- 4 1.71924- 2 2.10000+ 1 3.00000+ 1 1.87285- 4 1.72295- 2 2.10000+ 1 3.20000+ 1 2.19678- 4 1.73047- 2 2.10000+ 1 3.30000+ 1 4.01422- 4 1.73099- 2 2.20000+ 1 2.20000+ 1 1.31179- 4 1.68391- 2 2.20000+ 1 2.40000+ 1 8.57340- 5 1.71351- 2 2.20000+ 1 2.50000+ 1 3.31886- 5 1.71430- 2 2.20000+ 1 2.70000+ 1 9.87731- 6 1.71727- 2 2.20000+ 1 2.90000+ 1 2.09000- 4 1.72240- 2 2.20000+ 1 3.00000+ 1 2.48917- 5 1.72611- 2 2.20000+ 1 3.20000+ 1 3.86413- 4 1.73363- 2 2.20000+ 1 3.30000+ 1 4.06960- 5 1.73415- 2 2.40000+ 1 2.40000+ 1 4.74138- 6 1.74311- 2 2.40000+ 1 2.50000+ 1 3.31897- 5 1.74390- 2 2.40000+ 1 2.70000+ 1 4.34628- 6 1.74687- 2 2.40000+ 1 2.90000+ 1 1.14588- 5 1.75200- 2 2.40000+ 1 3.00000+ 1 6.71698- 6 1.75571- 2 2.40000+ 1 3.20000+ 1 2.88435- 5 1.76323- 2 2.40000+ 1 3.30000+ 1 1.26433- 5 1.76375- 2 2.50000+ 1 2.50000+ 1 1.97543- 6 1.74469- 2 2.50000+ 1 2.70000+ 1 2.37062- 6 1.74766- 2 2.50000+ 1 2.90000+ 1 7.11164- 6 1.75279- 2 2.50000+ 1 3.00000+ 1 3.16088- 6 1.75650- 2 2.50000+ 1 3.20000+ 1 5.80822- 5 1.76402- 2 2.50000+ 1 3.30000+ 1 4.74122- 6 1.76454- 2 2.70000+ 1 2.70000+ 1 7.90190- 7 1.75063- 2 2.70000+ 1 2.90000+ 1 3.87192- 5 1.75577- 2 2.70000+ 1 3.00000+ 1 3.95106- 6 1.75947- 2 2.70000+ 1 3.20000+ 1 4.74122- 6 1.76699- 2 2.70000+ 1 3.30000+ 1 1.58034- 6 1.76751- 2 2.90000+ 1 2.90000+ 1 3.63501- 5 1.76090- 2 2.90000+ 1 3.00000+ 1 8.21835- 5 1.76461- 2 2.90000+ 1 3.20000+ 1 2.88425- 5 1.77213- 2 2.90000+ 1 3.30000+ 1 3.35838- 5 1.77265- 2 3.00000+ 1 3.00000+ 1 1.97546- 6 1.76832- 2 3.00000+ 1 3.20000+ 1 2.96334- 5 1.77584- 2 3.00000+ 1 3.30000+ 1 3.95112- 6 1.77636- 2 3.20000+ 1 3.20000+ 1 1.66380- 5 1.78335- 2 3.20000+ 1 3.30000+ 1 5.86099- 5 1.78387- 2 3.30000+ 1 3.30000+ 1 3.16090- 6 1.78440- 2 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.84281- 2 1.04149- 2 1.00000+ 1 2.17261- 4 1.07215- 2 1.10000+ 1 1.96661- 4 1.13895- 2 1.30000+ 1 3.16611- 2 1.18951- 2 1.40000+ 1 2.78451- 1 1.20348- 2 1.60000+ 1 4.45431- 3 1.39037- 2 1.80000+ 1 4.89351- 5 1.40413- 2 1.90000+ 1 5.19622- 5 1.42112- 2 2.10000+ 1 6.16542- 3 1.44364- 2 2.20000+ 1 5.60822- 2 1.44680- 2 2.40000+ 1 6.31762- 5 1.47640- 2 2.50000+ 1 3.50771- 4 1.47719- 2 2.70000+ 1 1.05310- 3 1.48017- 2 2.90000+ 1 1.04820- 5 1.48530- 2 3.00000+ 1 1.14540- 5 1.48901- 2 3.20000+ 1 9.98413- 4 1.49653- 2 3.30000+ 1 9.03953- 3 1.49705- 2 4.10000+ 1 1.87481- 4 1.50014- 2 4.30000+ 1 1.50990- 6 1.50147- 2 4.40000+ 1 1.50010- 6 1.50199- 2 5.80000+ 1 6.54622- 6 1.50302- 2 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 5.61430- 4 5.79580- 3 8.00000+ 0 1.00000+ 1 2.62056- 4 6.10240- 3 8.00000+ 0 1.10000+ 1 1.93114- 2 6.77040- 3 8.00000+ 0 1.30000+ 1 2.69559- 3 7.27600- 3 8.00000+ 0 1.40000+ 1 5.00386- 3 7.41570- 3 8.00000+ 0 1.60000+ 1 2.23948- 4 9.28460- 3 8.00000+ 0 1.80000+ 1 4.59687- 5 9.42221- 3 8.00000+ 0 1.90000+ 1 3.12038- 3 9.59210- 3 8.00000+ 0 2.10000+ 1 3.03704- 4 9.81730- 3 8.00000+ 0 2.20000+ 1 5.27256- 4 9.84895- 3 8.00000+ 0 2.40000+ 1 2.78546- 4 1.01449- 2 8.00000+ 0 2.50000+ 1 4.81673- 4 1.01528- 2 8.00000+ 0 2.70000+ 1 4.98973- 5 1.01826- 2 8.00000+ 0 2.90000+ 1 9.03671- 6 1.02339- 2 8.00000+ 0 3.00000+ 1 6.05825- 4 1.02710- 2 8.00000+ 0 3.20000+ 1 4.32176- 5 1.03462- 2 8.00000+ 0 3.30000+ 1 7.22900- 5 1.03514- 2 1.00000+ 1 1.00000+ 1 9.42962- 6 6.40900- 3 1.00000+ 1 1.10000+ 1 3.23961- 2 7.07700- 3 1.00000+ 1 1.30000+ 1 1.43519- 3 7.58260- 3 1.00000+ 1 1.40000+ 1 1.15414- 2 7.72230- 3 1.00000+ 1 1.60000+ 1 5.50045- 5 9.59120- 3 1.00000+ 1 1.80000+ 1 9.82248- 6 9.72881- 3 1.00000+ 1 1.90000+ 1 5.43679- 3 9.89870- 3 1.00000+ 1 2.10000+ 1 2.80919- 4 1.01239- 2 1.00000+ 1 2.20000+ 1 1.87441- 3 1.01555- 2 1.00000+ 1 2.40000+ 1 2.54990- 4 1.04515- 2 1.00000+ 1 2.50000+ 1 6.25087- 4 1.04594- 2 1.00000+ 1 2.70000+ 1 1.25725- 5 1.04892- 2 1.00000+ 1 2.90000+ 1 2.75018- 6 1.05405- 2 1.00000+ 1 3.00000+ 1 1.06320- 3 1.05776- 2 1.00000+ 1 3.20000+ 1 4.51822- 5 1.06528- 2 1.00000+ 1 3.30000+ 1 2.83272- 4 1.06580- 2 1.10000+ 1 1.10000+ 1 3.96679- 2 7.74500- 3 1.10000+ 1 1.30000+ 1 4.15818- 2 8.25060- 3 1.10000+ 1 1.40000+ 1 5.44389- 2 8.39030- 3 1.10000+ 1 1.60000+ 1 5.02781- 3 1.02592- 2 1.10000+ 1 1.80000+ 1 7.57385- 3 1.03968- 2 1.10000+ 1 1.90000+ 1 1.61560- 2 1.05667- 2 1.10000+ 1 2.10000+ 1 9.01253- 3 1.07919- 2 1.10000+ 1 2.20000+ 1 1.16808- 2 1.08235- 2 1.10000+ 1 2.40000+ 1 8.85189- 4 1.11195- 2 1.10000+ 1 2.50000+ 1 1.07299- 3 1.11274- 2 1.10000+ 1 2.70000+ 1 1.18657- 3 1.11572- 2 1.10000+ 1 2.90000+ 1 1.62332- 3 1.12085- 2 1.10000+ 1 3.00000+ 1 3.30940- 3 1.12456- 2 1.10000+ 1 3.20000+ 1 1.44814- 3 1.13208- 2 1.10000+ 1 3.30000+ 1 1.84545- 3 1.13260- 2 1.30000+ 1 1.30000+ 1 5.60217- 3 8.75620- 3 1.30000+ 1 1.40000+ 1 1.04558- 1 8.89590- 3 1.30000+ 1 1.60000+ 1 6.54513- 4 1.07648- 2 1.30000+ 1 1.80000+ 1 3.62627- 4 1.09024- 2 1.30000+ 1 1.90000+ 1 6.31945- 3 1.10723- 2 1.30000+ 1 2.10000+ 1 2.04687- 3 1.12975- 2 1.30000+ 1 2.20000+ 1 1.59877- 2 1.13291- 2 1.30000+ 1 2.40000+ 1 4.81667- 4 1.16251- 2 1.30000+ 1 2.50000+ 1 1.62052- 3 1.16330- 2 1.30000+ 1 2.70000+ 1 1.53224- 4 1.16628- 2 1.30000+ 1 2.90000+ 1 7.85753- 5 1.17141- 2 1.30000+ 1 3.00000+ 1 1.21008- 3 1.17512- 2 1.30000+ 1 3.20000+ 1 3.20199- 4 1.18264- 2 1.30000+ 1 3.30000+ 1 2.37497- 3 1.18316- 2 1.40000+ 1 1.40000+ 1 6.92903- 2 9.03560- 3 1.40000+ 1 1.60000+ 1 1.22697- 3 1.09045- 2 1.40000+ 1 1.80000+ 1 2.43436- 3 1.10421- 2 1.40000+ 1 1.90000+ 1 9.29718- 3 1.12120- 2 1.40000+ 1 2.10000+ 1 1.92813- 2 1.14372- 2 1.40000+ 1 2.20000+ 1 2.42971- 2 1.14688- 2 1.40000+ 1 2.40000+ 1 5.06455- 3 1.17648- 2 1.40000+ 1 2.50000+ 1 4.58373- 3 1.17727- 2 1.40000+ 1 2.70000+ 1 2.89156- 4 1.18025- 2 1.40000+ 1 2.90000+ 1 5.11131- 4 1.18538- 2 1.40000+ 1 3.00000+ 1 1.83897- 3 1.18909- 2 1.40000+ 1 3.20000+ 1 3.01098- 3 1.19661- 2 1.40000+ 1 3.30000+ 1 3.71471- 3 1.19713- 2 1.60000+ 1 1.60000+ 1 2.31798- 5 1.27734- 2 1.60000+ 1 1.80000+ 1 1.06083- 5 1.29110- 2 1.60000+ 1 1.90000+ 1 8.11719- 4 1.30809- 2 1.60000+ 1 2.10000+ 1 7.97562- 5 1.33061- 2 1.60000+ 1 2.20000+ 1 1.37904- 4 1.33377- 2 1.60000+ 1 2.40000+ 1 3.61457- 5 1.36337- 2 1.60000+ 1 2.50000+ 1 7.03291- 5 1.36416- 2 1.60000+ 1 2.70000+ 1 1.02148- 5 1.36714- 2 1.60000+ 1 2.90000+ 1 1.96446- 6 1.37227- 2 1.60000+ 1 3.00000+ 1 1.57537- 4 1.37598- 2 1.60000+ 1 3.20000+ 1 1.13941- 5 1.38350- 2 1.60000+ 1 3.30000+ 1 1.92513- 5 1.38402- 2 1.80000+ 1 1.80000+ 1 3.92895- 7 1.30486- 2 1.80000+ 1 1.90000+ 1 1.26200- 3 1.32185- 2 1.80000+ 1 2.10000+ 1 6.60044- 5 1.34437- 2 1.80000+ 1 2.20000+ 1 4.27850- 4 1.34754- 2 1.80000+ 1 2.40000+ 1 3.81101- 5 1.37714- 2 1.80000+ 1 2.50000+ 1 8.76127- 5 1.37792- 2 1.80000+ 1 2.70000+ 1 2.35723- 6 1.38090- 2 1.80000+ 1 3.00000+ 1 2.46341- 4 1.38974- 2 1.80000+ 1 3.20000+ 1 1.02148- 5 1.39726- 2 1.80000+ 1 3.30000+ 1 6.52225- 5 1.39778- 2 1.90000+ 1 1.90000+ 1 1.57150- 3 1.33884- 2 1.90000+ 1 2.10000+ 1 1.37349- 3 1.36136- 2 1.90000+ 1 2.20000+ 1 1.96563- 3 1.36452- 2 1.90000+ 1 2.40000+ 1 1.10796- 4 1.39412- 2 1.90000+ 1 2.50000+ 1 1.41442- 4 1.39491- 2 1.90000+ 1 2.70000+ 1 1.91730- 4 1.39789- 2 1.90000+ 1 2.90000+ 1 2.69914- 4 1.40302- 2 1.90000+ 1 3.00000+ 1 6.37635- 4 1.40673- 2 1.90000+ 1 3.20000+ 1 2.20793- 4 1.41425- 2 1.90000+ 1 3.30000+ 1 3.09595- 4 1.41477- 2 2.10000+ 1 2.10000+ 1 1.79160- 4 1.38388- 2 2.10000+ 1 2.20000+ 1 3.09009- 3 1.38704- 2 2.10000+ 1 2.40000+ 1 5.81479- 5 1.41664- 2 2.10000+ 1 2.50000+ 1 1.85446- 4 1.41743- 2 2.10000+ 1 2.70000+ 1 1.88590- 5 1.42041- 2 2.10000+ 1 2.90000+ 1 1.41445- 5 1.42554- 2 2.10000+ 1 3.00000+ 1 2.63238- 4 1.42925- 2 2.10000+ 1 3.20000+ 1 5.57912- 5 1.43677- 2 2.10000+ 1 3.30000+ 1 4.62436- 4 1.43729- 2 2.20000+ 1 2.20000+ 1 2.14308- 3 1.39021- 2 2.20000+ 1 2.40000+ 1 6.03451- 4 1.41981- 2 2.20000+ 1 2.50000+ 1 5.36289- 4 1.42060- 2 2.20000+ 1 2.70000+ 1 3.30027- 5 1.42357- 2 2.20000+ 1 2.90000+ 1 9.07581- 5 1.42870- 2 2.20000+ 1 3.00000+ 1 3.87383- 4 1.43241- 2 2.20000+ 1 3.20000+ 1 4.86001- 4 1.43993- 2 2.20000+ 1 3.30000+ 1 6.55350- 4 1.44045- 2 2.40000+ 1 2.40000+ 1 2.37672- 6 1.44941- 2 2.40000+ 1 2.50000+ 1 7.88329- 5 1.45020- 2 2.40000+ 1 2.70000+ 1 7.52656- 6 1.45317- 2 2.40000+ 1 2.90000+ 1 7.52656- 6 1.45830- 2 2.40000+ 1 3.00000+ 1 2.05995- 5 1.46201- 2 2.40000+ 1 3.20000+ 1 8.31878- 6 1.46953- 2 2.40000+ 1 3.30000+ 1 8.59597- 5 1.47005- 2 2.50000+ 1 2.50000+ 1 2.78964- 5 1.45099- 2 2.50000+ 1 2.70000+ 1 1.49294- 5 1.45396- 2 2.50000+ 1 2.90000+ 1 1.72871- 5 1.45909- 2 2.50000+ 1 3.00000+ 1 2.67161- 5 1.46280- 2 2.50000+ 1 3.20000+ 1 2.63236- 5 1.47032- 2 2.50000+ 1 3.30000+ 1 7.58281- 5 1.47084- 2 2.70000+ 1 2.70000+ 1 1.30402- 6 1.45693- 2 2.70000+ 1 2.90000+ 1 4.34680- 7 1.46207- 2 2.70000+ 1 3.00000+ 1 4.12937- 5 1.46577- 2 2.70000+ 1 3.20000+ 1 3.04267- 6 1.47329- 2 2.70000+ 1 3.30000+ 1 5.21608- 6 1.47381- 2 2.90000+ 1 3.00000+ 1 6.00722- 5 1.47091- 2 2.90000+ 1 3.20000+ 1 2.68969- 6 1.47843- 2 2.90000+ 1 3.30000+ 1 1.56904- 5 1.47895- 2 3.00000+ 1 3.00000+ 1 7.20418- 5 1.47462- 2 3.00000+ 1 3.20000+ 1 4.74428- 5 1.48214- 2 3.00000+ 1 3.30000+ 1 6.80860- 5 1.48266- 2 3.20000+ 1 3.20000+ 1 4.32176- 6 1.48965- 2 3.20000+ 1 3.30000+ 1 7.26875- 5 1.49017- 2 3.30000+ 1 3.30000+ 1 4.98972- 5 1.49070- 2 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.03460- 5 3.06600- 4 1.10000+ 1 7.54612- 4 9.74600- 4 1.80000+ 1 2.05901- 3 3.62641- 3 1.90000+ 1 1.33990- 3 3.79630- 3 2.90000+ 1 4.99112- 4 4.43810- 3 3.00000+ 1 3.59761- 4 4.47519- 3 4.30000+ 1 7.33982- 5 4.59982- 3 4.40000+ 1 4.93412- 5 4.60496- 3 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 1.47142- 2 3.66500- 5 1.00000+ 1 2.50000+ 1 1.87802- 2 4.45300- 5 1.00000+ 1 2.70000+ 1 1.32314- 2 7.42600- 5 1.00000+ 1 2.90000+ 1 1.34715- 2 1.25600- 4 1.00000+ 1 3.00000+ 1 1.69368- 2 1.62690- 4 1.00000+ 1 3.20000+ 1 8.85470- 3 2.37870- 4 1.00000+ 1 3.30000+ 1 1.16933- 2 2.43080- 4 1.00000+ 1 4.10000+ 1 2.16935- 3 2.73960- 4 1.00000+ 1 4.30000+ 1 1.70999- 3 2.87320- 4 1.00000+ 1 4.40000+ 1 1.93403- 3 2.92460- 4 1.00000+ 1 5.80000+ 1 7.47603- 5 3.02800- 4 1.10000+ 1 1.80000+ 1 5.36522- 2 0.00000+ 0 1.10000+ 1 1.90000+ 1 4.88375- 2 1.51800- 4 1.10000+ 1 2.10000+ 1 1.32771- 2 3.77000- 4 1.10000+ 1 2.20000+ 1 2.69116- 2 4.08650- 4 1.10000+ 1 2.40000+ 1 1.88793- 1 7.04650- 4 1.10000+ 1 2.50000+ 1 2.30886- 1 7.12530- 4 1.10000+ 1 2.70000+ 1 1.10641- 2 7.42260- 4 1.10000+ 1 2.90000+ 1 1.09702- 2 7.93600- 4 1.10000+ 1 3.00000+ 1 1.00654- 2 8.30690- 4 1.10000+ 1 3.20000+ 1 2.26637- 3 9.05870- 4 1.10000+ 1 3.30000+ 1 4.53077- 3 9.11080- 4 1.10000+ 1 4.10000+ 1 1.83834- 3 9.41960- 4 1.10000+ 1 4.30000+ 1 1.42817- 3 9.55320- 4 1.10000+ 1 4.40000+ 1 1.18801- 3 9.60460- 4 1.10000+ 1 5.80000+ 1 6.35903- 5 9.70800- 4 1.30000+ 1 1.60000+ 1 2.57953- 2 3.49900- 4 1.30000+ 1 1.80000+ 1 5.51687- 3 4.87510- 4 1.30000+ 1 1.90000+ 1 8.05660- 3 6.57400- 4 1.30000+ 1 2.10000+ 1 8.86833- 3 8.82600- 4 1.30000+ 1 2.20000+ 1 1.07787- 2 9.14250- 4 1.30000+ 1 2.40000+ 1 9.58592- 3 1.21025- 3 1.30000+ 1 2.50000+ 1 8.92238- 3 1.21813- 3 1.30000+ 1 2.70000+ 1 3.81784- 3 1.24786- 3 1.30000+ 1 2.90000+ 1 9.31574- 4 1.29920- 3 1.30000+ 1 3.00000+ 1 1.27208- 3 1.33629- 3 1.30000+ 1 3.20000+ 1 1.16539- 3 1.41147- 3 1.30000+ 1 3.30000+ 1 1.52182- 3 1.41668- 3 1.30000+ 1 4.10000+ 1 5.90323- 4 1.44756- 3 1.30000+ 1 4.30000+ 1 1.19690- 4 1.46092- 3 1.30000+ 1 4.40000+ 1 1.45159- 4 1.46606- 3 1.30000+ 1 5.80000+ 1 2.02899- 5 1.47640- 3 1.40000+ 1 1.60000+ 1 3.55718- 2 4.89600- 4 1.40000+ 1 1.80000+ 1 8.82909- 4 6.27210- 4 1.40000+ 1 1.90000+ 1 1.14591- 2 7.97100- 4 1.40000+ 1 2.10000+ 1 1.22326- 2 1.02230- 3 1.40000+ 1 2.20000+ 1 1.69932- 2 1.05395- 3 1.40000+ 1 2.40000+ 1 1.11331- 2 1.34995- 3 1.40000+ 1 2.50000+ 1 1.69892- 2 1.35783- 3 1.40000+ 1 2.70000+ 1 5.18695- 3 1.38756- 3 1.40000+ 1 2.90000+ 1 1.97987- 4 1.43890- 3 1.40000+ 1 3.00000+ 1 1.78990- 3 1.47599- 3 1.40000+ 1 3.20000+ 1 1.76698- 3 1.55117- 3 1.40000+ 1 3.30000+ 1 2.30873- 3 1.55638- 3 1.40000+ 1 4.10000+ 1 7.99435- 4 1.58726- 3 1.40000+ 1 4.30000+ 1 2.72342- 5 1.60062- 3 1.40000+ 1 4.40000+ 1 2.03983- 4 1.60576- 3 1.40000+ 1 5.80000+ 1 2.73706- 5 1.61610- 3 1.60000+ 1 1.60000+ 1 2.27182- 3 2.35850- 3 1.60000+ 1 1.80000+ 1 4.00685- 3 2.49611- 3 1.60000+ 1 1.90000+ 1 6.41274- 3 2.66600- 3 1.60000+ 1 2.10000+ 1 7.60772- 3 2.89120- 3 1.60000+ 1 2.20000+ 1 1.06146- 2 2.92285- 3 1.60000+ 1 2.40000+ 1 5.68194- 3 3.21885- 3 1.60000+ 1 2.50000+ 1 7.07869- 3 3.22673- 3 1.60000+ 1 2.70000+ 1 8.69881- 4 3.25646- 3 1.60000+ 1 2.90000+ 1 8.65139- 4 3.30780- 3 1.60000+ 1 3.00000+ 1 1.35400- 3 3.34489- 3 1.60000+ 1 3.20000+ 1 1.20454- 3 3.42007- 3 1.60000+ 1 3.30000+ 1 1.65729- 3 3.42528- 3 1.60000+ 1 4.10000+ 1 1.43177- 4 3.45616- 3 1.60000+ 1 4.30000+ 1 1.15357- 4 3.46952- 3 1.60000+ 1 4.40000+ 1 1.61556- 4 3.47466- 3 1.60000+ 1 5.80000+ 1 4.87198- 6 3.48500- 3 1.80000+ 1 1.80000+ 1 1.60297- 4 2.63372- 3 1.80000+ 1 1.90000+ 1 4.92061- 4 2.80361- 3 1.80000+ 1 2.10000+ 1 2.45631- 4 3.02881- 3 1.80000+ 1 2.20000+ 1 1.26196- 4 3.06046- 3 1.80000+ 1 2.40000+ 1 2.79742- 5 3.35646- 3 1.80000+ 1 2.50000+ 1 4.75234- 4 3.36434- 3 1.80000+ 1 2.70000+ 1 5.81010- 4 3.39407- 3 1.80000+ 1 2.90000+ 1 5.06038- 5 3.44541- 3 1.80000+ 1 3.00000+ 1 7.40189- 5 3.48250- 3 1.80000+ 1 3.20000+ 1 3.34740- 5 3.55768- 3 1.80000+ 1 3.30000+ 1 2.43591- 5 3.56289- 3 1.80000+ 1 4.10000+ 1 8.97337- 5 3.59377- 3 1.80000+ 1 4.30000+ 1 6.44307- 6 3.60713- 3 1.80000+ 1 4.40000+ 1 8.32934- 6 3.61227- 3 1.80000+ 1 5.80000+ 1 3.14309- 6 3.62261- 3 1.90000+ 1 1.90000+ 1 5.14696- 4 2.97350- 3 1.90000+ 1 2.10000+ 1 6.12164- 4 3.19870- 3 1.90000+ 1 2.20000+ 1 1.38763- 3 3.23035- 3 1.90000+ 1 2.40000+ 1 7.57530- 4 3.52635- 3 1.90000+ 1 2.50000+ 1 1.19268- 3 3.53423- 3 1.90000+ 1 2.70000+ 1 9.34783- 4 3.56396- 3 1.90000+ 1 2.90000+ 1 9.03658- 5 3.61530- 3 1.90000+ 1 3.00000+ 1 1.82932- 4 3.65239- 3 1.90000+ 1 3.20000+ 1 9.60253- 5 3.72757- 3 1.90000+ 1 3.30000+ 1 2.05883- 4 3.73278- 3 1.90000+ 1 4.10000+ 1 1.44739- 4 3.76366- 3 1.90000+ 1 4.30000+ 1 1.17865- 5 3.77702- 3 1.90000+ 1 4.40000+ 1 2.13738- 5 3.78216- 3 1.90000+ 1 5.80000+ 1 5.02906- 6 3.79250- 3 2.10000+ 1 2.10000+ 1 9.52412- 5 3.42390- 3 2.10000+ 1 2.20000+ 1 2.96720- 4 3.45555- 3 2.10000+ 1 2.40000+ 1 4.43343- 4 3.75155- 3 2.10000+ 1 2.50000+ 1 2.79709- 3 3.75943- 3 2.10000+ 1 2.70000+ 1 1.08082- 3 3.78916- 3 2.10000+ 1 2.90000+ 1 3.37902- 5 3.84050- 3 2.10000+ 1 3.00000+ 1 9.90128- 5 3.87759- 3 2.10000+ 1 3.20000+ 1 2.37308- 5 3.95277- 3 2.10000+ 1 3.30000+ 1 3.91328- 5 3.95798- 3 2.10000+ 1 4.10000+ 1 1.66279- 4 3.98886- 3 2.10000+ 1 4.30000+ 1 4.08613- 6 4.00222- 3 2.10000+ 1 4.40000+ 1 1.13158- 5 4.00736- 3 2.10000+ 1 5.80000+ 1 5.65781- 6 4.01770- 3 2.20000+ 1 2.20000+ 1 2.23796- 4 3.48720- 3 2.20000+ 1 2.40000+ 1 2.52870- 3 3.78320- 3 2.20000+ 1 2.50000+ 1 1.58251- 3 3.79108- 3 2.20000+ 1 2.70000+ 1 1.50167- 3 3.82081- 3 2.20000+ 1 2.90000+ 1 1.98017- 5 3.87215- 3 2.20000+ 1 3.00000+ 1 2.21448- 4 3.90924- 3 2.20000+ 1 3.20000+ 1 3.53612- 5 3.98442- 3 2.20000+ 1 3.30000+ 1 5.72061- 5 3.98963- 3 2.20000+ 1 4.10000+ 1 2.30718- 4 4.02051- 3 2.20000+ 1 4.30000+ 1 2.51457- 6 4.03387- 3 2.20000+ 1 4.40000+ 1 2.51457- 5 4.03901- 3 2.20000+ 1 5.80000+ 1 7.85790- 6 4.04935- 3 2.40000+ 1 2.40000+ 1 6.19213- 4 4.07920- 3 2.40000+ 1 2.50000+ 1 4.07162- 3 4.08708- 3 2.40000+ 1 2.70000+ 1 7.43070- 4 4.11681- 3 2.40000+ 1 2.90000+ 1 4.72679- 6 4.16815- 3 2.40000+ 1 3.00000+ 1 8.66571- 5 4.20524- 3 2.40000+ 1 3.20000+ 1 6.33409- 5 4.28042- 3 2.40000+ 1 3.30000+ 1 3.99732- 4 4.28563- 3 2.40000+ 1 4.10000+ 1 1.12656- 4 4.31651- 3 2.40000+ 1 4.30000+ 1 6.30220- 7 4.32987- 3 2.40000+ 1 4.40000+ 1 9.29573- 6 4.33501- 3 2.40000+ 1 5.80000+ 1 3.78140- 6 4.34535- 3 2.50000+ 1 2.50000+ 1 1.40294- 3 4.09496- 3 2.50000+ 1 2.70000+ 1 9.19391- 4 4.12469- 3 2.50000+ 1 2.90000+ 1 8.91796- 5 4.17603- 3 2.50000+ 1 3.00000+ 1 1.46696- 4 4.21312- 3 2.50000+ 1 3.20000+ 1 4.31481- 4 4.28830- 3 2.50000+ 1 3.30000+ 1 2.37134- 4 4.29351- 3 2.50000+ 1 4.10000+ 1 1.39499- 4 4.32439- 3 2.50000+ 1 4.30000+ 1 1.15986- 5 4.33775- 3 2.50000+ 1 4.40000+ 1 1.59863- 5 4.34289- 3 2.50000+ 1 5.80000+ 1 4.70196- 6 4.35323- 3 2.70000+ 1 2.70000+ 1 7.97568- 5 4.15442- 3 2.70000+ 1 2.90000+ 1 1.31292- 4 4.20576- 3 2.70000+ 1 3.00000+ 1 2.05019- 4 4.24285- 3 2.70000+ 1 3.20000+ 1 1.78763- 4 4.31803- 3 2.70000+ 1 3.30000+ 1 2.44822- 4 4.32324- 3 2.70000+ 1 4.10000+ 1 2.59329- 5 4.35412- 3 2.70000+ 1 4.30000+ 1 1.76160- 5 4.36748- 3 2.70000+ 1 4.40000+ 1 2.44657- 5 4.37262- 3 2.70000+ 1 5.80000+ 1 8.15494- 7 4.38296- 3 2.90000+ 1 2.90000+ 1 4.62185- 6 4.25710- 3 2.90000+ 1 3.00000+ 1 1.55291- 5 4.29419- 3 2.90000+ 1 3.20000+ 1 5.36122- 6 4.36937- 3 2.90000+ 1 3.30000+ 1 4.80652- 6 4.37458- 3 2.90000+ 1 4.10000+ 1 2.31080- 5 4.40546- 3 2.90000+ 1 4.30000+ 1 1.10918- 6 4.41882- 3 2.90000+ 1 4.40000+ 1 1.66382- 6 4.42396- 3 2.90000+ 1 5.80000+ 1 7.39466- 7 4.43430- 3 3.00000+ 1 3.00000+ 1 1.83907- 5 4.33128- 3 3.00000+ 1 3.20000+ 1 1.83907- 5 4.40646- 3 3.00000+ 1 3.30000+ 1 3.86183- 5 4.41167- 3 3.00000+ 1 4.10000+ 1 3.58608- 5 4.44255- 3 3.00000+ 1 4.30000+ 1 2.02291- 6 4.45591- 3 3.00000+ 1 4.40000+ 1 4.22978- 6 4.46105- 3 3.00000+ 1 5.80000+ 1 1.28726- 6 4.47139- 3 3.20000+ 1 3.20000+ 1 1.50751- 6 4.48164- 3 3.20000+ 1 3.30000+ 1 5.02511- 6 4.48685- 3 3.20000+ 1 4.10000+ 1 2.83080- 5 4.51773- 3 3.20000+ 1 4.30000+ 1 6.69995- 7 4.53109- 3 3.20000+ 1 4.40000+ 1 1.84253- 6 4.53623- 3 3.20000+ 1 5.80000+ 1 1.00497- 6 4.54657- 3 3.30000+ 1 3.30000+ 1 3.76814- 6 4.49206- 3 3.30000+ 1 4.10000+ 1 3.95652- 5 4.52294- 3 3.30000+ 1 4.30000+ 1 5.13843- 7 4.53630- 3 3.30000+ 1 4.40000+ 1 4.11071- 6 4.54144- 3 3.30000+ 1 5.80000+ 1 1.37028- 6 4.55178- 3 4.10000+ 1 4.10000+ 1 2.04309- 6 4.55382- 3 4.10000+ 1 4.30000+ 1 2.67174- 6 4.56718- 3 4.10000+ 1 4.40000+ 1 3.61473- 6 4.57232- 3 4.10000+ 1 5.80000+ 1 1.57165- 7 4.58266- 3 4.30000+ 1 4.40000+ 1 2.04331- 7 4.58568- 3 4.30000+ 1 5.80000+ 1 2.04331- 7 4.59602- 3 4.40000+ 1 4.40000+ 1 1.94551- 7 4.59082- 3 4.40000+ 1 5.80000+ 1 1.94551- 7 4.60116- 3 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.39000- 3 1.17360- 3 1.60000+ 1 8.74160- 4 3.18220- 3 2.10000+ 1 4.54130- 3 3.71490- 3 2.70000+ 1 2.11390- 4 4.08016- 3 3.20000+ 1 9.01060- 4 4.24377- 3 4.10000+ 1 3.77350- 5 4.27986- 3 5.80000+ 1 1.31790- 6 4.30870- 3 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 6.16299- 3 7.04000- 5 1.10000+ 1 2.20000+ 1 1.49738- 2 1.02050- 4 1.10000+ 1 2.40000+ 1 2.85942- 2 3.98050- 4 1.10000+ 1 2.50000+ 1 2.46325- 2 4.05930- 4 1.10000+ 1 2.70000+ 1 3.10136- 3 4.35660- 4 1.10000+ 1 2.90000+ 1 4.21641- 3 4.87000- 4 1.10000+ 1 3.00000+ 1 2.19670- 3 5.24090- 4 1.10000+ 1 3.20000+ 1 1.37924- 3 5.99270- 4 1.10000+ 1 3.30000+ 1 2.65485- 3 6.04480- 4 1.10000+ 1 4.10000+ 1 4.92075- 4 6.35360- 4 1.10000+ 1 4.30000+ 1 5.10366- 4 6.48720- 4 1.10000+ 1 4.40000+ 1 2.46533- 4 6.53860- 4 1.10000+ 1 5.80000+ 1 1.69682- 5 6.64200- 4 1.30000+ 1 1.60000+ 1 4.78061- 2 4.33000- 5 1.30000+ 1 1.80000+ 1 4.89458- 2 1.80910- 4 1.30000+ 1 1.90000+ 1 3.89971- 2 3.50800- 4 1.30000+ 1 2.10000+ 1 1.71974- 2 5.76000- 4 1.30000+ 1 2.20000+ 1 2.38643- 2 6.07650- 4 1.30000+ 1 2.40000+ 1 1.46164- 1 9.03650- 4 1.30000+ 1 2.50000+ 1 2.27786- 1 9.11530- 4 1.30000+ 1 2.70000+ 1 1.09589- 2 9.41260- 4 1.30000+ 1 2.90000+ 1 8.80729- 3 9.92600- 4 1.30000+ 1 3.00000+ 1 7.92180- 3 1.02969- 3 1.30000+ 1 3.20000+ 1 2.87649- 3 1.10487- 3 1.30000+ 1 3.30000+ 1 4.05958- 3 1.11008- 3 1.30000+ 1 4.10000+ 1 1.83266- 3 1.14096- 3 1.30000+ 1 4.30000+ 1 1.13737- 3 1.15432- 3 1.30000+ 1 4.40000+ 1 9.32453- 4 1.15946- 3 1.30000+ 1 5.80000+ 1 6.32128- 5 1.16980- 3 1.40000+ 1 1.60000+ 1 7.42971- 3 1.83000- 4 1.40000+ 1 1.80000+ 1 5.53668- 2 3.20610- 4 1.40000+ 1 1.90000+ 1 4.65176- 3 4.90500- 4 1.40000+ 1 2.10000+ 1 1.31656- 3 7.15700- 4 1.40000+ 1 2.20000+ 1 2.68345- 3 7.47350- 4 1.40000+ 1 2.40000+ 1 6.90036- 3 1.04335- 3 1.40000+ 1 2.50000+ 1 4.39765- 3 1.05123- 3 1.40000+ 1 2.70000+ 1 1.13808- 3 1.08096- 3 1.40000+ 1 2.90000+ 1 7.67304- 3 1.13230- 3 1.40000+ 1 3.00000+ 1 8.20430- 4 1.16939- 3 1.40000+ 1 3.20000+ 1 9.51591- 5 1.24457- 3 1.40000+ 1 3.30000+ 1 3.85777- 4 1.24978- 3 1.40000+ 1 4.10000+ 1 1.77827- 4 1.28066- 3 1.40000+ 1 4.30000+ 1 9.44376- 4 1.29402- 3 1.40000+ 1 4.40000+ 1 9.48205- 5 1.29916- 3 1.40000+ 1 5.80000+ 1 6.15506- 6 1.30950- 3 1.60000+ 1 1.60000+ 1 6.31042- 4 2.05190- 3 1.60000+ 1 1.80000+ 1 9.55763- 3 2.18951- 3 1.60000+ 1 1.90000+ 1 1.24257- 3 2.35940- 3 1.60000+ 1 2.10000+ 1 3.50637- 4 2.58460- 3 1.60000+ 1 2.20000+ 1 1.10536- 3 2.61625- 3 1.60000+ 1 2.40000+ 1 5.54474- 5 2.91225- 3 1.60000+ 1 2.50000+ 1 8.13343- 4 2.92013- 3 1.60000+ 1 2.70000+ 1 2.25370- 4 2.94986- 3 1.60000+ 1 2.90000+ 1 1.29481- 3 3.00120- 3 1.60000+ 1 3.00000+ 1 2.36149- 4 3.03829- 3 1.60000+ 1 3.20000+ 1 3.86911- 5 3.11347- 3 1.60000+ 1 3.30000+ 1 1.56374- 4 3.11868- 3 1.60000+ 1 4.10000+ 1 3.63000- 5 3.14956- 3 1.60000+ 1 4.30000+ 1 1.59555- 4 3.16292- 3 1.60000+ 1 4.40000+ 1 2.75235- 5 3.16806- 3 1.60000+ 1 5.80000+ 1 1.19669- 6 3.17840- 3 1.80000+ 1 1.80000+ 1 7.43177- 3 2.32712- 3 1.80000+ 1 1.90000+ 1 2.02928- 2 2.49701- 3 1.80000+ 1 2.10000+ 1 2.05125- 2 2.72221- 3 1.80000+ 1 2.20000+ 1 3.23009- 2 2.75386- 3 1.80000+ 1 2.40000+ 1 1.26216- 2 3.04986- 3 1.80000+ 1 2.50000+ 1 2.08625- 2 3.05774- 3 1.80000+ 1 2.70000+ 1 2.22926- 3 3.08747- 3 1.80000+ 1 2.90000+ 1 2.65577- 3 3.13881- 3 1.80000+ 1 3.00000+ 1 4.24673- 3 3.17590- 3 1.80000+ 1 3.20000+ 1 3.26009- 3 3.25108- 3 1.80000+ 1 3.30000+ 1 4.99468- 3 3.25629- 3 1.80000+ 1 4.10000+ 1 3.77332- 4 3.28717- 3 1.80000+ 1 4.30000+ 1 3.45041- 4 3.30053- 3 1.80000+ 1 4.40000+ 1 5.05784- 4 3.30567- 3 1.80000+ 1 5.80000+ 1 1.31632- 5 3.31601- 3 1.90000+ 1 1.90000+ 1 5.28117- 4 2.66690- 3 1.90000+ 1 2.10000+ 1 1.25771- 3 2.89210- 3 1.90000+ 1 2.20000+ 1 1.14361- 3 2.92375- 3 1.90000+ 1 2.40000+ 1 8.37699- 3 3.21975- 3 1.90000+ 1 2.50000+ 1 2.31621- 3 3.22763- 3 1.90000+ 1 2.70000+ 1 1.84284- 4 3.25736- 3 1.90000+ 1 2.90000+ 1 2.80818- 3 3.30870- 3 1.90000+ 1 3.00000+ 1 1.86277- 4 3.34579- 3 1.90000+ 1 3.20000+ 1 1.57164- 4 3.42097- 3 1.90000+ 1 3.30000+ 1 1.58365- 4 3.42618- 3 1.90000+ 1 4.10000+ 1 2.87198- 5 3.45706- 3 1.90000+ 1 4.30000+ 1 3.47024- 4 3.47042- 3 1.90000+ 1 4.40000+ 1 2.15402- 5 3.47556- 3 1.90000+ 1 5.80000+ 1 7.97780- 7 3.48590- 3 2.10000+ 1 2.10000+ 1 7.41100- 4 3.11730- 3 2.10000+ 1 2.20000+ 1 1.55723- 3 3.14895- 3 2.10000+ 1 2.40000+ 1 8.70360- 4 3.44495- 3 2.10000+ 1 2.50000+ 1 1.35102- 3 3.45283- 3 2.10000+ 1 2.70000+ 1 7.85793- 5 3.48256- 3 2.10000+ 1 2.90000+ 1 2.75599- 3 3.53390- 3 2.10000+ 1 3.00000+ 1 2.40912- 4 3.57099- 3 2.10000+ 1 3.20000+ 1 1.92267- 4 3.64617- 3 2.10000+ 1 3.30000+ 1 2.21797- 4 3.65138- 3 2.10000+ 1 4.10000+ 1 1.31630- 5 3.68226- 3 2.10000+ 1 4.30000+ 1 3.38261- 4 3.69562- 3 2.10000+ 1 4.40000+ 1 2.83229- 5 3.70076- 3 2.10000+ 1 5.80000+ 1 3.98879- 7 3.71110- 3 2.20000+ 1 2.20000+ 1 4.16036- 4 3.18060- 3 2.20000+ 1 2.40000+ 1 2.19901- 3 3.47660- 3 2.20000+ 1 2.50000+ 1 5.30519- 4 3.48448- 3 2.20000+ 1 2.70000+ 1 2.04230- 4 3.51421- 3 2.20000+ 1 2.90000+ 1 4.39444- 3 3.56555- 3 2.20000+ 1 3.00000+ 1 1.83882- 4 3.60264- 3 2.20000+ 1 3.20000+ 1 1.98644- 4 3.67782- 3 2.20000+ 1 3.30000+ 1 1.08893- 4 3.68303- 3 2.20000+ 1 4.10000+ 1 3.31090- 5 3.71391- 3 2.20000+ 1 4.30000+ 1 5.40901- 4 3.72727- 3 2.20000+ 1 4.40000+ 1 2.11415- 5 3.73241- 3 2.20000+ 1 5.80000+ 1 1.19664- 6 3.74275- 3 2.40000+ 1 2.40000+ 1 3.26274- 3 3.77260- 3 2.40000+ 1 2.50000+ 1 2.08559- 2 3.78048- 3 2.40000+ 1 2.70000+ 1 7.97758- 6 3.81021- 3 2.40000+ 1 2.90000+ 1 1.56559- 3 3.86155- 3 2.40000+ 1 3.00000+ 1 1.64739- 3 3.89864- 3 2.40000+ 1 3.20000+ 1 1.52777- 4 3.97382- 3 2.40000+ 1 3.30000+ 1 4.00485- 4 3.97903- 3 2.40000+ 1 4.10000+ 1 1.19664- 6 4.00991- 3 2.40000+ 1 4.30000+ 1 1.90670- 4 4.02327- 3 2.40000+ 1 4.40000+ 1 1.94262- 4 4.02841- 3 2.50000+ 1 2.50000+ 1 1.08974- 3 3.78836- 3 2.50000+ 1 2.70000+ 1 1.55166- 4 3.81809- 3 2.50000+ 1 2.90000+ 1 2.52896- 3 3.86943- 3 2.50000+ 1 3.00000+ 1 4.05256- 4 3.90652- 3 2.50000+ 1 3.20000+ 1 2.24986- 4 3.98170- 3 2.50000+ 1 3.30000+ 1 8.69544- 5 3.98691- 3 2.50000+ 1 4.10000+ 1 2.51293- 5 4.01779- 3 2.50000+ 1 4.30000+ 1 3.04741- 4 4.03115- 3 2.50000+ 1 4.40000+ 1 4.70691- 5 4.03629- 3 2.50000+ 1 5.80000+ 1 7.97755- 7 4.04663- 3 2.70000+ 1 2.70000+ 1 1.99331- 5 3.84782- 3 2.70000+ 1 2.90000+ 1 3.03811- 4 3.89916- 3 2.70000+ 1 3.00000+ 1 3.50835- 5 3.93625- 3 2.70000+ 1 3.20000+ 1 8.37194- 6 4.01143- 3 2.70000+ 1 3.30000+ 1 2.95017- 5 4.01664- 3 2.70000+ 1 4.10000+ 1 6.37871- 6 4.04752- 3 2.70000+ 1 4.30000+ 1 3.74751- 5 4.06088- 3 2.70000+ 1 4.40000+ 1 3.98669- 6 4.06602- 3 2.70000+ 1 5.80000+ 1 3.98669- 7 4.07636- 3 2.90000+ 1 2.90000+ 1 2.22561- 4 3.95050- 3 2.90000+ 1 3.00000+ 1 5.91933- 4 3.98759- 3 2.90000+ 1 3.20000+ 1 4.40369- 4 4.06277- 3 2.90000+ 1 3.30000+ 1 6.83649- 4 4.06798- 3 2.90000+ 1 4.10000+ 1 5.14534- 5 4.09886- 3 2.90000+ 1 4.30000+ 1 5.70378- 5 4.11222- 3 2.90000+ 1 4.40000+ 1 7.06015- 5 4.11736- 3 2.90000+ 1 5.80000+ 1 1.59543- 6 4.12770- 3 3.00000+ 1 3.00000+ 1 1.77137- 5 4.02468- 3 3.00000+ 1 3.20000+ 1 3.28369- 5 4.09986- 3 3.00000+ 1 3.30000+ 1 2.76528- 5 4.10507- 3 3.00000+ 1 4.10000+ 1 6.04897- 6 4.13595- 3 3.00000+ 1 4.30000+ 1 7.94990- 5 4.14931- 3 3.00000+ 1 4.40000+ 1 3.88859- 6 4.15445- 3 3.20000+ 1 3.20000+ 1 1.19668- 5 4.17504- 3 3.20000+ 1 3.30000+ 1 3.03165- 5 4.18025- 3 3.20000+ 1 4.10000+ 1 1.19668- 6 4.21113- 3 3.20000+ 1 4.30000+ 1 5.42499- 5 4.22449- 3 3.20000+ 1 4.40000+ 1 3.59013- 6 4.22963- 3 3.30000+ 1 3.30000+ 1 8.61955- 6 4.18546- 3 3.30000+ 1 4.10000+ 1 5.44385- 6 4.21634- 3 3.30000+ 1 4.30000+ 1 9.57212- 5 4.22970- 3 3.30000+ 1 4.40000+ 1 3.17545- 6 4.23484- 3 4.10000+ 1 4.10000+ 1 3.98879- 7 4.24722- 3 4.10000+ 1 4.30000+ 1 6.38206- 6 4.26058- 3 4.10000+ 1 4.40000+ 1 7.97757- 7 4.26572- 3 4.30000+ 1 4.30000+ 1 3.59019- 6 4.27394- 3 4.30000+ 1 4.40000+ 1 8.77591- 6 4.27908- 3 4.30000+ 1 5.80000+ 1 3.98898- 7 4.28942- 3 4.40000+ 1 4.40000+ 1 3.98880- 7 4.28422- 3 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.42340- 5 5.05600- 4 1.40000+ 1 2.84209- 4 6.45300- 4 1.60000+ 1 1.72739- 3 2.51420- 3 2.10000+ 1 8.30457- 4 3.04690- 3 2.20000+ 1 6.31508- 3 3.07855- 3 2.70000+ 1 4.01249- 4 3.41216- 3 3.20000+ 1 1.49960- 4 3.57577- 3 3.30000+ 1 1.15520- 3 3.58098- 3 4.10000+ 1 6.87438- 5 3.61186- 3 5.80000+ 1 2.48379- 6 3.64070- 3 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 1.64442- 2 2.35650- 4 1.30000+ 1 2.50000+ 1 2.39592- 2 2.43530- 4 1.30000+ 1 2.70000+ 1 3.05881- 3 2.73260- 4 1.30000+ 1 2.90000+ 1 2.79812- 3 3.24600- 4 1.30000+ 1 3.00000+ 1 8.64460- 3 3.61690- 4 1.30000+ 1 3.20000+ 1 1.51564- 3 4.36870- 4 1.30000+ 1 3.30000+ 1 1.63835- 3 4.42080- 4 1.30000+ 1 4.10000+ 1 4.96535- 4 4.72960- 4 1.30000+ 1 4.30000+ 1 3.59946- 4 4.86320- 4 1.30000+ 1 4.40000+ 1 9.76346- 4 4.91460- 4 1.30000+ 1 5.80000+ 1 1.70738- 5 5.01800- 4 1.40000+ 1 2.10000+ 1 4.90664- 2 4.77000- 5 1.40000+ 1 2.20000+ 1 6.50731- 2 7.93500- 5 1.40000+ 1 2.40000+ 1 1.91303- 1 3.75350- 4 1.40000+ 1 2.50000+ 1 2.31183- 1 3.83230- 4 1.40000+ 1 2.70000+ 1 1.84565- 2 4.12960- 4 1.40000+ 1 2.90000+ 1 1.88042- 2 4.64300- 4 1.40000+ 1 3.00000+ 1 2.13963- 2 5.01390- 4 1.40000+ 1 3.20000+ 1 6.47894- 3 5.76570- 4 1.40000+ 1 3.30000+ 1 9.33335- 3 5.81780- 4 1.40000+ 1 4.10000+ 1 3.06249- 3 6.12660- 4 1.40000+ 1 4.30000+ 1 2.42570- 3 6.26020- 4 1.40000+ 1 4.40000+ 1 2.46705- 3 6.31160- 4 1.40000+ 1 5.80000+ 1 1.07411- 4 6.41500- 4 1.60000+ 1 1.60000+ 1 2.16610- 4 1.38390- 3 1.60000+ 1 1.80000+ 1 5.41554- 4 1.52151- 3 1.60000+ 1 1.90000+ 1 1.15858- 2 1.69140- 3 1.60000+ 1 2.10000+ 1 7.02102- 4 1.91660- 3 1.60000+ 1 2.20000+ 1 8.82473- 4 1.94825- 3 1.60000+ 1 2.40000+ 1 2.04514- 3 2.24425- 3 1.60000+ 1 2.50000+ 1 3.67359- 3 2.25213- 3 1.60000+ 1 2.70000+ 1 7.96516- 5 2.28186- 3 1.60000+ 1 2.90000+ 1 7.71232- 5 2.33320- 3 1.60000+ 1 3.00000+ 1 1.55638- 3 2.37029- 3 1.60000+ 1 3.20000+ 1 9.60856- 5 2.44547- 3 1.60000+ 1 3.30000+ 1 1.16319- 4 2.45068- 3 1.60000+ 1 4.10000+ 1 1.26432- 5 2.48156- 3 1.60000+ 1 4.30000+ 1 9.69297- 6 2.49492- 3 1.60000+ 1 4.40000+ 1 1.72365- 4 2.50006- 3 1.60000+ 1 5.80000+ 1 4.21445- 7 2.51040- 3 1.80000+ 1 1.80000+ 1 8.42870- 6 1.65912- 3 1.80000+ 1 1.90000+ 1 1.44900- 2 1.82901- 3 1.80000+ 1 2.10000+ 1 3.18182- 4 2.05421- 3 1.80000+ 1 2.20000+ 1 3.18482- 3 2.08586- 3 1.80000+ 1 2.40000+ 1 1.66883- 3 2.38186- 3 1.80000+ 1 2.50000+ 1 8.74813- 3 2.38974- 3 1.80000+ 1 2.70000+ 1 9.35590- 5 2.41947- 3 1.80000+ 1 2.90000+ 1 2.94996- 6 2.47081- 3 1.80000+ 1 3.00000+ 1 1.99376- 3 2.50790- 3 1.80000+ 1 3.20000+ 1 4.88864- 5 2.58308- 3 1.80000+ 1 3.30000+ 1 4.02057- 4 2.58829- 3 1.80000+ 1 4.10000+ 1 1.47502- 5 2.61917- 3 1.80000+ 1 4.30000+ 1 4.21446- 7 2.63253- 3 1.80000+ 1 4.40000+ 1 2.21679- 4 2.63767- 3 1.80000+ 1 5.80000+ 1 4.21446- 7 2.64801- 3 1.90000+ 1 1.90000+ 1 1.86874- 2 1.99890- 3 1.90000+ 1 2.10000+ 1 2.76331- 2 2.22410- 3 1.90000+ 1 2.20000+ 1 3.59447- 2 2.25575- 3 1.90000+ 1 2.40000+ 1 2.52563- 2 2.55175- 3 1.90000+ 1 2.50000+ 1 2.88710- 2 2.55963- 3 1.90000+ 1 2.70000+ 1 2.65648- 3 2.58936- 3 1.90000+ 1 2.90000+ 1 3.04689- 3 2.64070- 3 1.90000+ 1 3.00000+ 1 6.43617- 3 2.67779- 3 1.90000+ 1 3.20000+ 1 4.23633- 3 2.75297- 3 1.90000+ 1 3.30000+ 1 5.48705- 3 2.75818- 3 1.90000+ 1 4.10000+ 1 4.47983- 4 2.78906- 3 1.90000+ 1 4.30000+ 1 4.04158- 4 2.80242- 3 1.90000+ 1 4.40000+ 1 7.46349- 4 2.80756- 3 1.90000+ 1 5.80000+ 1 1.55931- 5 2.81790- 3 2.10000+ 1 2.10000+ 1 1.86701- 4 2.44930- 3 2.10000+ 1 2.20000+ 1 4.52548- 3 2.48095- 3 2.10000+ 1 2.40000+ 1 7.07181- 4 2.77695- 3 2.10000+ 1 2.50000+ 1 8.13517- 3 2.78483- 3 2.10000+ 1 2.70000+ 1 8.72388- 5 2.81456- 3 2.10000+ 1 2.90000+ 1 2.10699- 5 2.86590- 3 2.10000+ 1 3.00000+ 1 3.72043- 3 2.90299- 3 2.10000+ 1 3.20000+ 1 4.72026- 5 2.97817- 3 2.10000+ 1 3.30000+ 1 6.06864- 4 2.98338- 3 2.10000+ 1 4.10000+ 1 1.34862- 5 3.01426- 3 2.10000+ 1 4.30000+ 1 2.52868- 6 3.02762- 3 2.10000+ 1 4.40000+ 1 4.12163- 4 3.03276- 3 2.10000+ 1 5.80000+ 1 4.21452- 7 3.04310- 3 2.20000+ 1 2.20000+ 1 1.96222- 3 2.51260- 3 2.20000+ 1 2.40000+ 1 6.55078- 3 2.80860- 3 2.20000+ 1 2.50000+ 1 5.41728- 3 2.81648- 3 2.20000+ 1 2.70000+ 1 1.16322- 4 2.84621- 3 2.20000+ 1 2.90000+ 1 3.23258- 4 2.89755- 3 2.20000+ 1 3.00000+ 1 4.77576- 3 2.93464- 3 2.20000+ 1 3.20000+ 1 6.02262- 4 3.00982- 3 2.20000+ 1 3.30000+ 1 5.29350- 4 3.01503- 3 2.20000+ 1 4.10000+ 1 1.76990- 5 3.04591- 3 2.20000+ 1 4.30000+ 1 3.79307- 5 3.05927- 3 2.20000+ 1 4.40000+ 1 5.27655- 4 3.06441- 3 2.20000+ 1 5.80000+ 1 4.21458- 7 3.07475- 3 2.40000+ 1 2.40000+ 1 1.08269- 3 3.10460- 3 2.40000+ 1 2.50000+ 1 2.82180- 2 3.11248- 3 2.40000+ 1 2.70000+ 1 2.26309- 4 3.14221- 3 2.40000+ 1 2.90000+ 1 2.88273- 4 3.19355- 3 2.40000+ 1 3.00000+ 1 3.23800- 3 3.23064- 3 2.40000+ 1 3.20000+ 1 1.25591- 4 3.30582- 3 2.40000+ 1 3.30000+ 1 9.38958- 4 3.31103- 3 2.40000+ 1 4.10000+ 1 3.41371- 5 3.34191- 3 2.40000+ 1 4.30000+ 1 3.70860- 5 3.35527- 3 2.40000+ 1 4.40000+ 1 3.56540- 4 3.36041- 3 2.40000+ 1 5.80000+ 1 1.26434- 6 3.37075- 3 2.50000+ 1 2.50000+ 1 1.11936- 2 3.12036- 3 2.50000+ 1 2.70000+ 1 3.68330- 4 3.15009- 3 2.50000+ 1 2.90000+ 1 1.49105- 3 3.20143- 3 2.50000+ 1 3.00000+ 1 3.85863- 3 3.23852- 3 2.50000+ 1 3.20000+ 1 1.23439- 3 3.31370- 3 2.50000+ 1 3.30000+ 1 8.44970- 4 3.31891- 3 2.50000+ 1 4.10000+ 1 5.39435- 5 3.34979- 3 2.50000+ 1 4.30000+ 1 1.91341- 4 3.36315- 3 2.50000+ 1 4.40000+ 1 4.29003- 4 3.36829- 3 2.50000+ 1 5.80000+ 1 1.68570- 6 3.37863- 3 2.70000+ 1 2.70000+ 1 8.57639- 6 3.17982- 3 2.70000+ 1 2.90000+ 1 1.53474- 5 3.23116- 3 2.70000+ 1 3.00000+ 1 3.83693- 4 3.26825- 3 2.70000+ 1 3.20000+ 1 1.39932- 5 3.34343- 3 2.70000+ 1 3.30000+ 1 1.71530- 5 3.34864- 3 2.70000+ 1 4.10000+ 1 2.70839- 6 3.37952- 3 2.70000+ 1 4.30000+ 1 1.80553- 6 3.39288- 3 2.70000+ 1 4.40000+ 1 4.24319- 5 3.39802- 3 2.90000+ 1 3.00000+ 1 4.39331- 4 3.31959- 3 2.90000+ 1 3.20000+ 1 3.07514- 6 3.39477- 3 2.90000+ 1 3.30000+ 1 4.48110- 5 3.39998- 3 2.90000+ 1 4.10000+ 1 2.19637- 6 3.43086- 3 2.90000+ 1 4.40000+ 1 4.87650- 5 3.44936- 3 3.00000+ 1 3.00000+ 1 5.80448- 4 3.35668- 3 3.00000+ 1 3.20000+ 1 6.31032- 4 3.43186- 3 3.00000+ 1 3.30000+ 1 8.05942- 4 3.43707- 3 3.00000+ 1 4.10000+ 1 6.68127- 5 3.46795- 3 3.00000+ 1 4.30000+ 1 6.17094- 5 3.48131- 3 3.00000+ 1 4.40000+ 1 1.33629- 4 3.48645- 3 3.00000+ 1 5.80000+ 1 2.31969- 6 3.49679- 3 3.20000+ 1 3.20000+ 1 2.94995- 6 3.50704- 3 3.20000+ 1 3.30000+ 1 8.68153- 5 3.51225- 3 3.20000+ 1 4.10000+ 1 2.10696- 6 3.54313- 3 3.20000+ 1 4.30000+ 1 4.21445- 7 3.55649- 3 3.20000+ 1 4.40000+ 1 6.36358- 5 3.56163- 3 3.30000+ 1 3.30000+ 1 3.75118- 5 3.51746- 3 3.30000+ 1 4.10000+ 1 2.52881- 6 3.54834- 3 3.30000+ 1 4.30000+ 1 5.05760- 6 3.56170- 3 3.30000+ 1 4.40000+ 1 8.09214- 5 3.56684- 3 4.10000+ 1 4.10000+ 1 4.21449- 7 3.57922- 3 4.10000+ 1 4.30000+ 1 4.21449- 7 3.59258- 3 4.10000+ 1 4.40000+ 1 6.74298- 6 3.59772- 3 4.30000+ 1 4.40000+ 1 6.32138- 6 3.61108- 3 4.40000+ 1 4.40000+ 1 7.16443- 6 3.61622- 3 4.40000+ 1 5.80000+ 1 4.21447- 7 3.62656- 3 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.12229- 3 2.14621- 3 1.90000+ 1 2.02219- 4 2.31610- 3 2.40000+ 1 4.28048- 2 2.86895- 3 2.90000+ 1 5.13507- 4 2.95790- 3 3.00000+ 1 4.88378- 5 2.99499- 3 4.30000+ 1 5.61597- 5 3.11962- 3 4.40000+ 1 4.95168- 6 3.12476- 3 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.00000+ 1 5.69635- 3 0.00000+ 0 1.40000+ 1 3.20000+ 1 5.02590- 2 7.09700- 5 1.40000+ 1 3.30000+ 1 7.13975- 3 7.61800- 5 1.40000+ 1 4.10000+ 1 9.13114- 4 1.07060- 4 1.40000+ 1 4.30000+ 1 4.41762- 4 1.20420- 4 1.40000+ 1 4.40000+ 1 8.85312- 4 1.25560- 4 1.40000+ 1 5.80000+ 1 3.13623- 5 1.35900- 4 1.60000+ 1 1.60000+ 1 1.61293- 5 8.78300- 4 1.60000+ 1 1.80000+ 1 9.62399- 4 1.01591- 3 1.60000+ 1 1.90000+ 1 8.07354- 4 1.18580- 3 1.60000+ 1 2.10000+ 1 3.09806- 2 1.41100- 3 1.60000+ 1 2.20000+ 1 3.59140- 3 1.44265- 3 1.60000+ 1 2.40000+ 1 1.56844- 2 1.73865- 3 1.60000+ 1 2.50000+ 1 3.94639- 3 1.74653- 3 1.60000+ 1 2.70000+ 1 1.79202- 5 1.77626- 3 1.60000+ 1 2.90000+ 1 1.67561- 4 1.82760- 3 1.60000+ 1 3.00000+ 1 1.11999- 4 1.86469- 3 1.60000+ 1 3.20000+ 1 3.33515- 3 1.93987- 3 1.60000+ 1 3.30000+ 1 4.06825- 4 1.94508- 3 1.60000+ 1 4.10000+ 1 3.58415- 6 1.97596- 3 1.60000+ 1 4.30000+ 1 2.15058- 5 1.98932- 3 1.60000+ 1 4.40000+ 1 1.25447- 5 1.99446- 3 1.80000+ 1 1.80000+ 1 5.30474- 4 1.15352- 3 1.80000+ 1 1.90000+ 1 3.87457- 3 1.32341- 3 1.80000+ 1 2.10000+ 1 2.79521- 2 1.54861- 3 1.80000+ 1 2.20000+ 1 1.79202- 3 1.58026- 3 1.80000+ 1 2.40000+ 1 1.08144- 2 1.87626- 3 1.80000+ 1 2.50000+ 1 5.59228- 3 1.88414- 3 1.80000+ 1 2.70000+ 1 1.34406- 4 1.91387- 3 1.80000+ 1 2.90000+ 1 1.82797- 4 1.96521- 3 1.80000+ 1 3.00000+ 1 5.96764- 4 2.00230- 3 1.80000+ 1 3.20000+ 1 2.98204- 3 2.07748- 3 1.80000+ 1 3.30000+ 1 2.32082- 4 2.08269- 3 1.80000+ 1 4.10000+ 1 2.15057- 5 2.11357- 3 1.80000+ 1 4.30000+ 1 2.32976- 5 2.12693- 3 1.80000+ 1 4.40000+ 1 6.81001- 5 2.13207- 3 1.80000+ 1 5.80000+ 1 8.96069- 7 2.14241- 3 1.90000+ 1 1.90000+ 1 1.36105- 3 1.49330- 3 1.90000+ 1 2.10000+ 1 5.49251- 2 1.71850- 3 1.90000+ 1 2.20000+ 1 2.08872- 3 1.75015- 3 1.90000+ 1 2.40000+ 1 2.62100- 3 2.04615- 3 1.90000+ 1 2.50000+ 1 1.88082- 3 2.05403- 3 1.90000+ 1 2.70000+ 1 1.40685- 4 2.08376- 3 1.90000+ 1 2.90000+ 1 5.15232- 4 2.13510- 3 1.90000+ 1 3.00000+ 1 4.00531- 4 2.17219- 3 1.90000+ 1 3.20000+ 1 5.92557- 3 2.24737- 3 1.90000+ 1 3.30000+ 1 2.48214- 4 2.25258- 3 1.90000+ 1 4.10000+ 1 2.24018- 5 2.28346- 3 1.90000+ 1 4.30000+ 1 6.36220- 5 2.29682- 3 1.90000+ 1 4.40000+ 1 4.48019- 5 2.30196- 3 1.90000+ 1 5.80000+ 1 8.96076- 7 2.31230- 3 2.10000+ 1 2.10000+ 1 5.01669- 2 1.94370- 3 2.10000+ 1 2.20000+ 1 9.88726- 2 1.97535- 3 2.10000+ 1 2.40000+ 1 5.72340- 2 2.27135- 3 2.10000+ 1 2.50000+ 1 6.83258- 2 2.27923- 3 2.10000+ 1 2.70000+ 1 6.50381- 3 2.30896- 3 2.10000+ 1 2.90000+ 1 5.93179- 3 2.36030- 3 2.10000+ 1 3.00000+ 1 1.11653- 2 2.39739- 3 2.10000+ 1 3.20000+ 1 1.32085- 2 2.47257- 3 2.10000+ 1 3.30000+ 1 1.49149- 2 2.47778- 3 2.10000+ 1 4.10000+ 1 1.08514- 3 2.50866- 3 2.10000+ 1 4.30000+ 1 7.88534- 4 2.52202- 3 2.10000+ 1 4.40000+ 1 1.32352- 3 2.52716- 3 2.10000+ 1 5.80000+ 1 3.76339- 5 2.53750- 3 2.20000+ 1 2.20000+ 1 1.56905- 3 2.00700- 3 2.20000+ 1 2.40000+ 1 6.60456- 2 2.30300- 3 2.20000+ 1 2.50000+ 1 3.21071- 3 2.31088- 3 2.20000+ 1 2.70000+ 1 3.90698- 4 2.34061- 3 2.20000+ 1 2.90000+ 1 2.27595- 4 2.39195- 3 2.20000+ 1 3.00000+ 1 3.40508- 4 2.42904- 3 2.20000+ 1 3.20000+ 1 1.07162- 2 2.50422- 3 2.20000+ 1 3.30000+ 1 3.87996- 4 2.50943- 3 2.20000+ 1 4.10000+ 1 5.82445- 5 2.54031- 3 2.20000+ 1 4.30000+ 1 2.86734- 5 2.55367- 3 2.20000+ 1 4.40000+ 1 3.85324- 5 2.55881- 3 2.20000+ 1 5.80000+ 1 1.79203- 6 2.56915- 3 2.40000+ 1 2.40000+ 1 6.41692- 2 2.59900- 3 2.40000+ 1 2.50000+ 1 1.84746- 1 2.60688- 3 2.40000+ 1 2.70000+ 1 3.49298- 3 2.63661- 3 2.40000+ 1 2.90000+ 1 1.86106- 3 2.68795- 3 2.40000+ 1 3.00000+ 1 5.51098- 4 2.72504- 3 2.40000+ 1 3.20000+ 1 6.74648- 3 2.80022- 3 2.40000+ 1 3.30000+ 1 9.49650- 3 2.80543- 3 2.40000+ 1 4.10000+ 1 5.86924- 4 2.83631- 3 2.40000+ 1 4.30000+ 1 2.42840- 4 2.84967- 3 2.40000+ 1 4.40000+ 1 6.54138- 5 2.85481- 3 2.40000+ 1 5.80000+ 1 2.06101- 5 2.86515- 3 2.50000+ 1 2.50000+ 1 3.95503- 3 2.61476- 3 2.50000+ 1 2.70000+ 1 6.37706- 4 2.64449- 3 2.50000+ 1 2.90000+ 1 5.15325- 4 2.69583- 3 2.50000+ 1 3.00000+ 1 3.56140- 4 2.73292- 3 2.50000+ 1 3.20000+ 1 6.97704- 3 2.80810- 3 2.50000+ 1 3.30000+ 1 4.43566- 4 2.81331- 3 2.50000+ 1 4.10000+ 1 1.00303- 4 2.84419- 3 2.50000+ 1 4.30000+ 1 6.07340- 5 2.85755- 3 2.50000+ 1 4.40000+ 1 4.14098- 5 2.86269- 3 2.50000+ 1 5.80000+ 1 3.68075- 6 2.87303- 3 2.70000+ 1 2.70000+ 1 1.84405- 6 2.67422- 3 2.70000+ 1 2.90000+ 1 2.67399- 5 2.72556- 3 2.70000+ 1 3.00000+ 1 2.12083- 5 2.76265- 3 2.70000+ 1 3.20000+ 1 7.25672- 4 2.83783- 3 2.70000+ 1 3.30000+ 1 5.07151- 5 2.84304- 3 2.70000+ 1 4.10000+ 1 9.22087- 7 2.87392- 3 2.70000+ 1 4.30000+ 1 3.68821- 6 2.88728- 3 2.70000+ 1 4.40000+ 1 2.76628- 6 2.89242- 3 2.90000+ 1 2.90000+ 1 1.88681- 5 2.77690- 3 2.90000+ 1 3.00000+ 1 9.43396- 5 2.81399- 3 2.90000+ 1 3.20000+ 1 7.05081- 4 2.88917- 3 2.90000+ 1 3.30000+ 1 3.67434- 5 2.89438- 3 2.90000+ 1 4.10000+ 1 4.96510- 6 2.92526- 3 2.90000+ 1 4.30000+ 1 4.96510- 6 2.93862- 3 2.90000+ 1 4.40000+ 1 1.09235- 5 2.94376- 3 3.00000+ 1 3.00000+ 1 3.55836- 5 2.85108- 3 3.00000+ 1 3.20000+ 1 1.41705- 3 2.92626- 3 3.00000+ 1 3.30000+ 1 5.02356- 5 2.93147- 3 3.00000+ 1 4.10000+ 1 4.18620- 6 2.96235- 3 3.00000+ 1 4.30000+ 1 1.25591- 5 2.97571- 3 3.00000+ 1 4.40000+ 1 8.37286- 6 2.98085- 3 3.20000+ 1 3.20000+ 1 8.39590- 4 3.00144- 3 3.20000+ 1 3.30000+ 1 1.62634- 3 3.00665- 3 3.20000+ 1 4.10000+ 1 1.17382- 4 3.03753- 3 3.20000+ 1 4.30000+ 1 8.42292- 5 3.05089- 3 3.20000+ 1 4.40000+ 1 1.44269- 4 3.05603- 3 3.20000+ 1 5.80000+ 1 4.48014- 6 3.06637- 3 3.30000+ 1 3.30000+ 1 4.62532- 5 3.01186- 3 3.30000+ 1 4.10000+ 1 1.37051- 5 3.04274- 3 3.30000+ 1 4.30000+ 1 8.56517- 6 3.05610- 3 3.30000+ 1 4.40000+ 1 1.02781- 5 3.06124- 3 4.10000+ 1 4.30000+ 1 8.96085- 7 3.08698- 3 4.30000+ 1 4.40000+ 1 1.61809- 6 3.10548- 3 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.51529- 3 2.17640- 3 2.40000+ 1 2.09229- 3 2.72925- 3 2.50000+ 1 4.09419- 2 2.73713- 3 3.00000+ 1 3.53679- 4 2.85529- 3 4.40000+ 1 3.70469- 5 2.98506- 3 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.81296- 6 7.38600- 4 1.60000+ 1 1.80000+ 1 2.41137- 4 8.76210- 4 1.60000+ 1 1.90000+ 1 1.78955- 3 1.04610- 3 1.60000+ 1 2.10000+ 1 3.23080- 3 1.27130- 3 1.60000+ 1 2.20000+ 1 3.40719- 2 1.30295- 3 1.60000+ 1 2.40000+ 1 4.22265- 3 1.59895- 3 1.60000+ 1 2.50000+ 1 1.65562- 2 1.60683- 3 1.60000+ 1 2.70000+ 1 1.17846- 5 1.63656- 3 1.60000+ 1 2.90000+ 1 1.54104- 5 1.68790- 3 1.60000+ 1 3.00000+ 1 2.53825- 4 1.72499- 3 1.60000+ 1 3.20000+ 1 3.41750- 4 1.80017- 3 1.60000+ 1 3.30000+ 1 3.63437- 3 1.80538- 3 1.60000+ 1 4.10000+ 1 2.71960- 6 1.83626- 3 1.60000+ 1 4.30000+ 1 1.81296- 6 1.84962- 3 1.60000+ 1 4.40000+ 1 2.81027- 5 1.85476- 3 1.80000+ 1 1.80000+ 1 1.81297- 6 1.01382- 3 1.80000+ 1 1.90000+ 1 5.10025- 3 1.18371- 3 1.80000+ 1 2.10000+ 1 2.48390- 4 1.40891- 3 1.80000+ 1 2.20000+ 1 3.52110- 2 1.44056- 3 1.80000+ 1 2.40000+ 1 2.25454- 3 1.73656- 3 1.80000+ 1 2.50000+ 1 9.38454- 3 1.74444- 3 1.80000+ 1 2.70000+ 1 3.17289- 5 1.77417- 3 1.80000+ 1 2.90000+ 1 9.06549- 7 1.82551- 3 1.80000+ 1 3.00000+ 1 7.25241- 4 1.86260- 3 1.80000+ 1 3.20000+ 1 7.25241- 6 1.93778- 3 1.80000+ 1 3.30000+ 1 3.75493- 3 1.94299- 3 1.80000+ 1 4.10000+ 1 4.53260- 6 1.97387- 3 1.80000+ 1 4.40000+ 1 8.06828- 5 1.99237- 3 1.90000+ 1 1.90000+ 1 3.31066- 3 1.35360- 3 1.90000+ 1 2.10000+ 1 3.22277- 3 1.57880- 3 1.90000+ 1 2.20000+ 1 5.20011- 2 1.61045- 3 1.90000+ 1 2.40000+ 1 2.14758- 3 1.90645- 3 1.90000+ 1 2.50000+ 1 3.77564- 3 1.91433- 3 1.90000+ 1 2.70000+ 1 3.25442- 4 1.94406- 3 1.90000+ 1 2.90000+ 1 6.40020- 4 1.99540- 3 1.90000+ 1 3.00000+ 1 9.68130- 4 2.03249- 3 1.90000+ 1 3.20000+ 1 4.24269- 4 2.10767- 3 1.90000+ 1 3.30000+ 1 5.51798- 3 2.11288- 3 1.90000+ 1 4.10000+ 1 5.25786- 5 2.14376- 3 1.90000+ 1 4.30000+ 1 7.79611- 5 2.15712- 3 1.90000+ 1 4.40000+ 1 1.08789- 4 2.16226- 3 1.90000+ 1 5.80000+ 1 1.81296- 6 2.17260- 3 2.10000+ 1 2.10000+ 1 7.03444- 4 1.80400- 3 2.10000+ 1 2.20000+ 1 7.30396- 2 1.83565- 3 2.10000+ 1 2.40000+ 1 2.90259- 3 2.13165- 3 2.10000+ 1 2.50000+ 1 4.00587- 2 2.13953- 3 2.10000+ 1 2.70000+ 1 3.29958- 4 2.16926- 3 2.10000+ 1 2.90000+ 1 6.07330- 5 2.22060- 3 2.10000+ 1 3.00000+ 1 4.75920- 4 2.25769- 3 2.10000+ 1 3.20000+ 1 1.69512- 4 2.33287- 3 2.10000+ 1 3.30000+ 1 7.85670- 3 2.33808- 3 2.10000+ 1 4.10000+ 1 4.89500- 5 2.36896- 3 2.10000+ 1 4.30000+ 1 8.15848- 6 2.38232- 3 2.10000+ 1 4.40000+ 1 5.34815- 5 2.38746- 3 2.10000+ 1 5.80000+ 1 1.81287- 6 2.39780- 3 2.20000+ 1 2.20000+ 1 8.11535- 2 1.86730- 3 2.20000+ 1 2.40000+ 1 6.31060- 2 2.16330- 3 2.20000+ 1 2.50000+ 1 1.01230- 1 2.17118- 3 2.20000+ 1 2.70000+ 1 6.83172- 3 2.20091- 3 2.20000+ 1 2.90000+ 1 7.12726- 3 2.25225- 3 2.20000+ 1 3.00000+ 1 1.06687- 2 2.28934- 3 2.20000+ 1 3.20000+ 1 1.10516- 2 2.36452- 3 2.20000+ 1 3.30000+ 1 2.09721- 2 2.36973- 3 2.20000+ 1 4.10000+ 1 1.13314- 3 2.40061- 3 2.20000+ 1 4.30000+ 1 9.39174- 4 2.41397- 3 2.20000+ 1 4.40000+ 1 1.26647- 3 2.41911- 3 2.20000+ 1 5.80000+ 1 3.89831- 5 2.42945- 3 2.40000+ 1 2.40000+ 1 5.31132- 3 2.45930- 3 2.40000+ 1 2.50000+ 1 1.69171- 1 2.46718- 3 2.40000+ 1 2.70000+ 1 7.27017- 4 2.49691- 3 2.40000+ 1 2.90000+ 1 4.22425- 4 2.54825- 3 2.40000+ 1 3.00000+ 1 3.69858- 4 2.58534- 3 2.40000+ 1 3.20000+ 1 4.25163- 4 2.66052- 3 2.40000+ 1 3.30000+ 1 6.41535- 3 2.66573- 3 2.40000+ 1 4.10000+ 1 1.16028- 4 2.69661- 3 2.40000+ 1 4.30000+ 1 5.52986- 5 2.70997- 3 2.40000+ 1 4.40000+ 1 4.26056- 5 2.71511- 3 2.40000+ 1 5.80000+ 1 3.62596- 6 2.72545- 3 2.50000+ 1 2.50000+ 1 1.15648- 1 2.47506- 3 2.50000+ 1 2.70000+ 1 3.61925- 3 2.50479- 3 2.50000+ 1 2.90000+ 1 1.93646- 3 2.55613- 3 2.50000+ 1 3.00000+ 1 7.46092- 4 2.59322- 3 2.50000+ 1 3.20000+ 1 5.66781- 3 2.66840- 3 2.50000+ 1 3.30000+ 1 1.21770- 2 2.67361- 3 2.50000+ 1 4.10000+ 1 6.07387- 4 2.70449- 3 2.50000+ 1 4.30000+ 1 2.57467- 4 2.71785- 3 2.50000+ 1 4.40000+ 1 8.88417- 5 2.72299- 3 2.50000+ 1 5.80000+ 1 2.08508- 5 2.73333- 3 2.70000+ 1 2.70000+ 1 9.83945- 7 2.53452- 3 2.70000+ 1 2.90000+ 1 1.96776- 6 2.58586- 3 2.70000+ 1 3.00000+ 1 5.21491- 5 2.62295- 3 2.70000+ 1 3.20000+ 1 4.32939- 5 2.69813- 3 2.70000+ 1 3.30000+ 1 7.96999- 4 2.70334- 3 2.70000+ 1 4.40000+ 1 5.90339- 6 2.75272- 3 2.90000+ 1 3.00000+ 1 1.02538- 4 2.67429- 3 2.90000+ 1 3.20000+ 1 3.83327- 6 2.74947- 3 2.90000+ 1 3.30000+ 1 8.15535- 4 2.75468- 3 2.90000+ 1 4.40000+ 1 1.15006- 5 2.80406- 3 3.00000+ 1 3.00000+ 1 8.08592- 5 2.71138- 3 3.00000+ 1 3.20000+ 1 7.57447- 5 2.78656- 3 3.00000+ 1 3.30000+ 1 1.28355- 3 2.79177- 3 3.00000+ 1 4.10000+ 1 9.21221- 6 2.82265- 3 3.00000+ 1 4.30000+ 1 1.33060- 5 2.83601- 3 3.00000+ 1 4.40000+ 1 1.84237- 5 2.84115- 3 3.20000+ 1 3.20000+ 1 9.97216- 6 2.86174- 3 3.20000+ 1 3.30000+ 1 1.19662- 3 2.86695- 3 3.20000+ 1 4.10000+ 1 6.34558- 6 2.89783- 3 3.20000+ 1 4.30000+ 1 9.06549- 7 2.91119- 3 3.20000+ 1 4.40000+ 1 7.25240- 6 2.91633- 3 3.30000+ 1 3.30000+ 1 1.31359- 3 2.87216- 3 3.30000+ 1 4.10000+ 1 1.21479- 4 2.90304- 3 3.30000+ 1 4.30000+ 1 1.01528- 4 2.91640- 3 3.30000+ 1 4.40000+ 1 1.35069- 4 2.92154- 3 3.30000+ 1 5.80000+ 1 4.53264- 6 2.93188- 3 4.10000+ 1 4.40000+ 1 1.39490- 6 2.95242- 3 4.30000+ 1 4.40000+ 1 2.07719- 6 2.96578- 3 4.40000+ 1 4.40000+ 1 1.40130- 6 2.97092- 3 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.64711- 5 1.37610- 4 1.90000+ 1 3.77862- 4 3.07500- 4 2.90000+ 1 2.58456- 4 9.49300- 4 3.00000+ 1 7.92489- 5 9.86390- 4 4.30000+ 1 4.23158- 5 1.11102- 3 4.40000+ 1 1.42094- 5 1.11616- 3 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.00000+ 1 5.96412- 2 0.00000+ 0 1.80000+ 1 3.20000+ 1 4.50947- 2 6.88800- 5 1.80000+ 1 3.30000+ 1 7.14586- 2 7.40900- 5 1.80000+ 1 4.10000+ 1 5.67428- 3 1.04970- 4 1.80000+ 1 4.30000+ 1 4.12154- 3 1.18330- 4 1.80000+ 1 4.40000+ 1 5.82479- 3 1.23470- 4 1.80000+ 1 5.80000+ 1 1.93825- 4 1.33810- 4 1.90000+ 1 2.40000+ 1 2.43028- 2 3.75500- 5 1.90000+ 1 2.50000+ 1 4.76647- 2 4.54300- 5 1.90000+ 1 2.70000+ 1 4.12304- 2 7.51600- 5 1.90000+ 1 2.90000+ 1 4.92390- 2 1.26500- 4 1.90000+ 1 3.00000+ 1 4.77717- 2 1.63590- 4 1.90000+ 1 3.20000+ 1 4.20023- 2 2.38770- 4 1.90000+ 1 3.30000+ 1 5.19677- 2 2.43980- 4 1.90000+ 1 4.10000+ 1 6.86194- 3 2.74860- 4 1.90000+ 1 4.30000+ 1 6.16793- 3 2.88220- 4 1.90000+ 1 4.40000+ 1 5.63613- 3 2.93360- 4 1.90000+ 1 5.80000+ 1 2.33711- 4 3.03700- 4 2.10000+ 1 2.40000+ 1 4.36590- 3 2.62750- 4 2.10000+ 1 2.50000+ 1 6.34643- 3 2.70630- 4 2.10000+ 1 2.70000+ 1 1.83336- 2 3.00360- 4 2.10000+ 1 2.90000+ 1 6.12580- 3 3.51700- 4 2.10000+ 1 3.00000+ 1 7.29010- 3 3.88790- 4 2.10000+ 1 3.20000+ 1 2.13669- 3 4.63970- 4 2.10000+ 1 3.30000+ 1 2.56337- 3 4.69180- 4 2.10000+ 1 4.10000+ 1 2.27403- 3 5.00060- 4 2.10000+ 1 4.30000+ 1 7.71178- 4 5.13420- 4 2.10000+ 1 4.40000+ 1 7.21591- 4 5.18560- 4 2.10000+ 1 5.80000+ 1 7.60602- 5 5.28900- 4 2.20000+ 1 2.20000+ 1 4.03196- 3 0.00000+ 0 2.20000+ 1 2.40000+ 1 6.76792- 3 2.94400- 4 2.20000+ 1 2.50000+ 1 7.48178- 3 3.02280- 4 2.20000+ 1 2.70000+ 1 2.36500- 2 3.32010- 4 2.20000+ 1 2.90000+ 1 9.38746- 3 3.83350- 4 2.20000+ 1 3.00000+ 1 7.60724- 3 4.20440- 4 2.20000+ 1 3.20000+ 1 1.91054- 3 4.95620- 4 2.20000+ 1 3.30000+ 1 2.98799- 3 5.00830- 4 2.20000+ 1 4.10000+ 1 2.91498- 3 5.31710- 4 2.20000+ 1 4.30000+ 1 1.04745- 3 5.45070- 4 2.20000+ 1 4.40000+ 1 8.33053- 4 5.50210- 4 2.20000+ 1 5.80000+ 1 9.72566- 5 5.60550- 4 2.40000+ 1 2.40000+ 1 9.45176- 3 5.90400- 4 2.40000+ 1 2.50000+ 1 1.82578- 2 5.98280- 4 2.40000+ 1 2.70000+ 1 2.16978- 2 6.28010- 4 2.40000+ 1 2.90000+ 1 3.01539- 3 6.79350- 4 2.40000+ 1 3.00000+ 1 1.17341- 2 7.16440- 4 2.40000+ 1 3.20000+ 1 1.10425- 3 7.91620- 4 2.40000+ 1 3.30000+ 1 7.15709- 4 7.96830- 4 2.40000+ 1 4.10000+ 1 2.32866- 3 8.27710- 4 2.40000+ 1 4.30000+ 1 3.10138- 4 8.41070- 4 2.40000+ 1 4.40000+ 1 1.11166- 3 8.46210- 4 2.40000+ 1 5.80000+ 1 7.63646- 5 8.56550- 4 2.50000+ 1 2.50000+ 1 1.56129- 2 6.06160- 4 2.50000+ 1 2.70000+ 1 2.81020- 2 6.35890- 4 2.50000+ 1 2.90000+ 1 1.52607- 3 6.87230- 4 2.50000+ 1 3.00000+ 1 1.28737- 2 7.24320- 4 2.50000+ 1 3.20000+ 1 6.54745- 4 7.99500- 4 2.50000+ 1 3.30000+ 1 1.59136- 3 8.04710- 4 2.50000+ 1 4.10000+ 1 3.00473- 3 8.35590- 4 2.50000+ 1 4.30000+ 1 1.53004- 4 8.48950- 4 2.50000+ 1 4.40000+ 1 1.17664- 3 8.54090- 4 2.50000+ 1 5.80000+ 1 9.85104- 5 8.64430- 4 2.70000+ 1 2.70000+ 1 1.62394- 2 6.65620- 4 2.70000+ 1 2.90000+ 1 2.36008- 2 7.16960- 4 2.70000+ 1 3.00000+ 1 3.74016- 2 7.54050- 4 2.70000+ 1 3.20000+ 1 3.37661- 2 8.29230- 4 2.70000+ 1 3.30000+ 1 4.66301- 2 8.34440- 4 2.70000+ 1 4.10000+ 1 4.54386- 3 8.65320- 4 2.70000+ 1 4.30000+ 1 3.14701- 3 8.78680- 4 2.70000+ 1 4.40000+ 1 4.43505- 3 8.83820- 4 2.70000+ 1 5.80000+ 1 1.55418- 4 8.94160- 4 2.90000+ 1 2.90000+ 1 1.94053- 3 7.68300- 4 2.90000+ 1 3.00000+ 1 8.39856- 3 8.05390- 4 2.90000+ 1 3.20000+ 1 3.23899- 3 8.80570- 4 2.90000+ 1 3.30000+ 1 2.41866- 3 8.85780- 4 2.90000+ 1 4.10000+ 1 2.67179- 3 9.16660- 4 2.90000+ 1 4.30000+ 1 4.29430- 4 9.30020- 4 2.90000+ 1 4.40000+ 1 7.75838- 4 9.35160- 4 2.90000+ 1 5.80000+ 1 8.71045- 5 9.45500- 4 3.00000+ 1 3.00000+ 1 5.20139- 3 8.42480- 4 3.00000+ 1 3.20000+ 1 2.52106- 3 9.17660- 4 3.00000+ 1 3.30000+ 1 5.42141- 3 9.22870- 4 3.00000+ 1 4.10000+ 1 4.25614- 3 9.53750- 4 3.00000+ 1 4.30000+ 1 9.68744- 4 9.67110- 4 3.00000+ 1 4.40000+ 1 1.08667- 3 9.72250- 4 3.00000+ 1 5.80000+ 1 1.41479- 4 9.82590- 4 3.20000+ 1 3.20000+ 1 9.98285- 4 9.92840- 4 3.20000+ 1 3.30000+ 1 2.98504- 3 9.98050- 4 3.20000+ 1 4.10000+ 1 4.64648- 3 1.02893- 3 3.20000+ 1 4.30000+ 1 4.12909- 4 1.04229- 3 3.20000+ 1 4.40000+ 1 2.45324- 4 1.04743- 3 3.20000+ 1 5.80000+ 1 1.53015- 4 1.05777- 3 3.30000+ 1 3.30000+ 1 1.93980- 3 1.00326- 3 3.30000+ 1 4.10000+ 1 6.23277- 3 1.03414- 3 3.30000+ 1 4.30000+ 1 2.64319- 4 1.04750- 3 3.30000+ 1 4.40000+ 1 6.04161- 4 1.05264- 3 3.30000+ 1 5.80000+ 1 2.05307- 4 1.06298- 3 4.10000+ 1 4.10000+ 1 3.60709- 4 1.06502- 3 4.10000+ 1 4.30000+ 1 4.15287- 4 1.07838- 3 4.10000+ 1 4.40000+ 1 6.00366- 4 1.08352- 3 4.10000+ 1 5.80000+ 1 2.37305- 5 1.09386- 3 4.30000+ 1 4.30000+ 1 2.69318- 5 1.09174- 3 4.30000+ 1 4.40000+ 1 1.10178- 4 1.09688- 3 4.30000+ 1 5.80000+ 1 1.46892- 5 1.10722- 3 4.40000+ 1 4.40000+ 1 6.85531- 5 1.10202- 3 4.40000+ 1 5.80000+ 1 1.95874- 5 1.11236- 3 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 9.91169- 4 3.95090- 4 2.70000+ 1 2.33253- 4 7.60350- 4 3.20000+ 1 6.01522- 5 9.23960- 4 4.10000+ 1 4.11581- 5 9.60050- 4 5.80000+ 1 1.49092- 6 9.88890- 4 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.00000+ 1 2.85801- 2 2.59800- 5 1.90000+ 1 3.20000+ 1 1.12640- 2 1.01160- 4 1.90000+ 1 3.30000+ 1 1.75036- 2 1.06370- 4 1.90000+ 1 4.10000+ 1 2.47109- 3 1.37250- 4 1.90000+ 1 4.30000+ 1 2.39152- 3 1.50610- 4 1.90000+ 1 4.40000+ 1 2.34222- 3 1.55750- 4 1.90000+ 1 5.80000+ 1 8.26135- 5 1.66090- 4 2.10000+ 1 2.40000+ 1 1.14056- 1 1.25140- 4 2.10000+ 1 2.50000+ 1 2.62427- 1 1.33020- 4 2.10000+ 1 2.70000+ 1 3.76914- 2 1.62750- 4 2.10000+ 1 2.90000+ 1 3.02382- 2 2.14090- 4 2.10000+ 1 3.00000+ 1 4.02399- 2 2.51180- 4 2.10000+ 1 3.20000+ 1 2.16713- 2 3.26360- 4 2.10000+ 1 3.30000+ 1 3.37322- 2 3.31570- 4 2.10000+ 1 4.10000+ 1 6.33769- 3 3.62450- 4 2.10000+ 1 4.30000+ 1 3.77320- 3 3.75810- 4 2.10000+ 1 4.40000+ 1 4.70861- 3 3.80950- 4 2.10000+ 1 5.80000+ 1 2.21321- 4 3.91290- 4 2.20000+ 1 2.40000+ 1 4.27077- 2 1.56790- 4 2.20000+ 1 2.50000+ 1 1.09131- 2 1.64670- 4 2.20000+ 1 2.70000+ 1 5.98094- 3 1.94400- 4 2.20000+ 1 2.90000+ 1 2.50774- 2 2.45740- 4 2.20000+ 1 3.00000+ 1 5.31734- 3 2.82830- 4 2.20000+ 1 3.20000+ 1 2.41062- 3 3.58010- 4 2.20000+ 1 3.30000+ 1 2.51139- 3 3.63220- 4 2.20000+ 1 4.10000+ 1 7.64223- 4 3.94100- 4 2.20000+ 1 4.30000+ 1 2.28661- 3 4.07460- 4 2.20000+ 1 4.40000+ 1 5.01098- 4 4.12600- 4 2.20000+ 1 5.80000+ 1 2.56933- 5 4.22940- 4 2.40000+ 1 2.40000+ 1 2.34303- 3 4.52790- 4 2.40000+ 1 2.50000+ 1 1.38422- 2 4.60670- 4 2.40000+ 1 2.70000+ 1 4.94656- 3 4.90400- 4 2.40000+ 1 2.90000+ 1 2.03715- 2 5.41740- 4 2.40000+ 1 3.00000+ 1 3.19003- 3 5.78830- 4 2.40000+ 1 3.20000+ 1 5.61017- 3 6.54010- 4 2.40000+ 1 3.30000+ 1 3.58897- 3 6.59220- 4 2.40000+ 1 4.10000+ 1 8.40483- 4 6.90100- 4 2.40000+ 1 4.30000+ 1 1.88154- 3 7.03460- 4 2.40000+ 1 4.40000+ 1 3.36919- 4 7.08600- 4 2.40000+ 1 5.80000+ 1 2.91330- 5 7.18940- 4 2.50000+ 1 2.50000+ 1 6.51367- 4 4.68550- 4 2.50000+ 1 2.70000+ 1 2.84600- 3 4.98280- 4 2.50000+ 1 2.90000+ 1 3.23734- 2 5.49620- 4 2.50000+ 1 3.00000+ 1 1.87263- 3 5.86710- 4 2.50000+ 1 3.20000+ 1 1.16941- 2 6.61890- 4 2.50000+ 1 3.30000+ 1 1.07380- 3 6.67100- 4 2.50000+ 1 4.10000+ 1 3.68485- 4 6.97980- 4 2.50000+ 1 4.30000+ 1 2.89659- 3 7.11340- 4 2.50000+ 1 4.40000+ 1 1.87096- 4 7.16480- 4 2.50000+ 1 5.80000+ 1 1.23600- 5 7.26820- 4 2.70000+ 1 2.70000+ 1 1.17618- 3 5.28010- 4 2.70000+ 1 2.90000+ 1 1.58172- 2 5.79350- 4 2.70000+ 1 3.00000+ 1 2.98335- 3 6.16440- 4 2.70000+ 1 3.20000+ 1 3.68597- 3 6.91620- 4 2.70000+ 1 3.30000+ 1 2.62361- 3 6.96830- 4 2.70000+ 1 4.10000+ 1 3.08875- 4 7.27710- 4 2.70000+ 1 4.30000+ 1 1.39542- 3 7.41070- 4 2.70000+ 1 4.40000+ 1 3.19776- 4 7.46210- 4 2.70000+ 1 5.80000+ 1 1.09019- 5 7.56550- 4 2.90000+ 1 2.90000+ 1 1.31184- 2 6.30690- 4 2.90000+ 1 3.00000+ 1 3.45160- 2 6.67780- 4 2.90000+ 1 3.20000+ 1 2.52982- 2 7.42960- 4 2.90000+ 1 3.30000+ 1 4.21819- 2 7.48170- 4 2.90000+ 1 4.10000+ 1 3.39822- 3 7.79050- 4 2.90000+ 1 4.30000+ 1 2.95035- 3 7.92410- 4 2.90000+ 1 4.40000+ 1 4.12139- 3 7.97550- 4 2.90000+ 1 5.80000+ 1 1.18010- 4 8.07890- 4 3.00000+ 1 3.00000+ 1 1.13646- 3 7.04870- 4 3.00000+ 1 3.20000+ 1 4.45980- 3 7.80050- 4 3.00000+ 1 3.30000+ 1 1.90447- 3 7.85260- 4 3.00000+ 1 4.10000+ 1 4.06552- 4 8.16140- 4 3.00000+ 1 4.30000+ 1 2.81586- 3 8.29500- 4 3.00000+ 1 4.40000+ 1 2.30560- 4 8.34640- 4 3.00000+ 1 5.80000+ 1 1.36433- 5 8.44980- 4 3.20000+ 1 3.20000+ 1 6.57235- 4 8.55230- 4 3.20000+ 1 3.30000+ 1 1.07412- 3 8.60440- 4 3.20000+ 1 4.10000+ 1 2.70788- 4 8.91320- 4 3.20000+ 1 4.30000+ 1 8.72712- 4 9.04680- 4 3.20000+ 1 4.40000+ 1 2.14932- 4 9.09820- 4 3.20000+ 1 5.80000+ 1 9.02626- 6 9.20160- 4 3.30000+ 1 3.30000+ 1 1.14060- 4 8.65650- 4 3.30000+ 1 4.10000+ 1 9.04351- 5 8.96530- 4 3.30000+ 1 4.30000+ 1 9.42741- 4 9.09890- 4 3.30000+ 1 4.40000+ 1 5.09387- 5 9.15030- 4 3.30000+ 1 5.80000+ 1 2.95295- 6 9.25370- 4 4.10000+ 1 4.10000+ 1 5.83419- 6 9.27410- 4 4.10000+ 1 4.30000+ 1 6.82953- 5 9.40770- 4 4.10000+ 1 4.40000+ 1 1.09822- 5 9.45910- 4 4.10000+ 1 5.80000+ 1 3.43208- 7 9.56250- 4 4.30000+ 1 4.30000+ 1 3.15761- 5 9.54130- 4 4.30000+ 1 4.40000+ 1 7.54116- 5 9.59270- 4 4.30000+ 1 5.80000+ 1 2.14581- 6 9.69610- 4 4.40000+ 1 4.40000+ 1 2.36721- 6 9.64410- 4 4.40000+ 1 5.80000+ 1 2.63029- 7 9.74750- 4 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.44072- 5 2.25200- 4 2.20000+ 1 1.99411- 4 2.56850- 4 2.70000+ 1 2.31043- 4 5.90460- 4 3.20000+ 1 2.04977- 5 7.54070- 4 3.30000+ 1 1.21577- 4 7.59280- 4 4.10000+ 1 4.00290- 5 7.90160- 4 5.80000+ 1 1.42807- 6 8.19000- 4 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.70000+ 1 1.46071- 2 0.00000+ 0 2.10000+ 1 2.90000+ 1 1.47673- 2 4.42000- 5 2.10000+ 1 3.00000+ 1 4.44942- 2 8.12900- 5 2.10000+ 1 3.20000+ 1 1.37506- 2 1.56470- 4 2.10000+ 1 3.30000+ 1 2.22031- 2 1.61680- 4 2.10000+ 1 4.10000+ 1 2.81273- 3 1.92560- 4 2.10000+ 1 4.30000+ 1 1.81605- 3 2.05920- 4 2.10000+ 1 4.40000+ 1 4.28074- 3 2.11060- 4 2.10000+ 1 5.80000+ 1 9.69876- 5 2.21400- 4 2.20000+ 1 2.40000+ 1 7.26320- 3 0.00000+ 0 2.20000+ 1 2.50000+ 1 2.14787- 2 0.00000+ 0 2.20000+ 1 2.70000+ 1 9.65326- 2 2.45100- 5 2.20000+ 1 2.90000+ 1 1.05732- 1 7.58500- 5 2.20000+ 1 3.00000+ 1 1.23409- 1 1.12940- 4 2.20000+ 1 3.20000+ 1 1.02131- 1 1.88120- 4 2.20000+ 1 3.30000+ 1 1.21673- 1 1.93330- 4 2.20000+ 1 4.10000+ 1 1.64802- 2 2.24210- 4 2.20000+ 1 4.30000+ 1 1.32524- 2 2.37570- 4 2.20000+ 1 4.40000+ 1 1.34902- 2 2.42710- 4 2.20000+ 1 5.80000+ 1 5.71283- 4 2.53050- 4 2.40000+ 1 2.40000+ 1 8.28679- 4 2.82900- 4 2.40000+ 1 2.50000+ 1 8.95217- 3 2.90780- 4 2.40000+ 1 2.70000+ 1 8.12771- 3 3.20510- 4 2.40000+ 1 2.90000+ 1 4.36909- 3 3.71850- 4 2.40000+ 1 3.00000+ 1 5.22905- 2 4.08940- 4 2.40000+ 1 3.20000+ 1 1.79719- 3 4.84120- 4 2.40000+ 1 3.30000+ 1 7.39070- 3 4.89330- 4 2.40000+ 1 4.10000+ 1 8.99638- 4 5.20210- 4 2.40000+ 1 4.30000+ 1 4.96434- 4 5.33570- 4 2.40000+ 1 4.40000+ 1 4.35029- 3 5.38710- 4 2.40000+ 1 5.80000+ 1 2.96911- 5 5.49050- 4 2.50000+ 1 2.50000+ 1 5.07859- 3 2.98660- 4 2.50000+ 1 2.70000+ 1 1.83622- 2 3.28390- 4 2.50000+ 1 2.90000+ 1 1.54616- 2 3.79730- 4 2.50000+ 1 3.00000+ 1 6.34031- 2 4.16820- 4 2.50000+ 1 3.20000+ 1 1.46078- 3 4.92000- 4 2.50000+ 1 3.30000+ 1 1.01158- 2 4.97210- 4 2.50000+ 1 4.10000+ 1 2.43235- 3 5.28090- 4 2.50000+ 1 4.30000+ 1 1.81856- 3 5.41450- 4 2.50000+ 1 4.40000+ 1 5.33386- 3 5.46590- 4 2.50000+ 1 5.80000+ 1 8.18460- 5 5.56930- 4 2.70000+ 1 2.70000+ 1 2.99848- 6 3.58120- 4 2.70000+ 1 2.90000+ 1 2.30213- 4 4.09460- 4 2.70000+ 1 3.00000+ 1 5.02526- 3 4.46550- 4 2.70000+ 1 3.20000+ 1 4.47774- 4 5.21730- 4 2.70000+ 1 3.30000+ 1 7.83627- 4 5.26940- 4 2.70000+ 1 4.10000+ 1 4.66436- 6 5.57820- 4 2.70000+ 1 4.30000+ 1 2.03233- 5 5.71180- 4 2.70000+ 1 4.40000+ 1 4.06135- 4 5.76320- 4 2.70000+ 1 5.80000+ 1 3.33168- 7 5.86660- 4 2.90000+ 1 2.90000+ 1 2.26160- 6 4.60800- 4 2.90000+ 1 3.00000+ 1 5.39548- 3 4.97890- 4 2.90000+ 1 3.20000+ 1 2.33279- 4 5.73070- 4 2.90000+ 1 3.30000+ 1 6.97254- 4 5.78280- 4 2.90000+ 1 4.10000+ 1 3.39258- 5 6.09160- 4 2.90000+ 1 4.30000+ 1 1.93858- 6 6.22520- 4 2.90000+ 1 4.40000+ 1 4.47498- 4 6.27660- 4 2.90000+ 1 5.80000+ 1 1.29231- 6 6.38000- 4 3.00000+ 1 3.00000+ 1 7.17860- 3 5.34980- 4 3.00000+ 1 3.20000+ 1 7.76238- 3 6.10160- 4 3.00000+ 1 3.30000+ 1 1.03402- 2 6.15370- 4 3.00000+ 1 4.10000+ 1 8.83747- 4 6.46250- 4 3.00000+ 1 4.30000+ 1 7.39215- 4 6.59610- 4 3.00000+ 1 4.40000+ 1 1.45299- 3 6.64750- 4 3.00000+ 1 5.80000+ 1 3.05320- 5 6.75090- 4 3.20000+ 1 3.20000+ 1 1.27117- 4 6.85340- 4 3.20000+ 1 3.30000+ 1 7.62421- 4 6.90550- 4 3.20000+ 1 4.10000+ 1 4.71019- 5 7.21430- 4 3.20000+ 1 4.30000+ 1 2.52549- 5 7.34790- 4 3.20000+ 1 4.40000+ 1 5.43087- 4 7.39930- 4 3.20000+ 1 5.80000+ 1 1.70245- 6 7.50270- 4 3.30000+ 1 3.30000+ 1 7.22964- 4 6.95760- 4 3.30000+ 1 4.10000+ 1 1.09233- 4 7.26640- 4 3.30000+ 1 4.30000+ 1 7.66092- 5 7.40000- 4 3.30000+ 1 4.40000+ 1 7.32888- 4 7.45140- 4 3.30000+ 1 5.80000+ 1 3.68866- 6 7.55480- 4 4.10000+ 1 4.30000+ 1 2.26996- 6 7.70880- 4 4.10000+ 1 4.40000+ 1 5.98694- 5 7.76020- 4 4.30000+ 1 4.40000+ 1 5.10735- 5 7.89380- 4 4.40000+ 1 4.40000+ 1 5.90173- 5 7.94520- 4 4.40000+ 1 5.80000+ 1 1.98608- 6 8.04860- 4 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 3.65368- 4 3.27650- 4 2.90000+ 1 9.85984- 5 4.16600- 4 3.00000+ 1 1.20089- 5 4.53690- 4 4.30000+ 1 1.27769- 5 5.78320- 4 4.40000+ 1 1.42519- 6 5.83460- 4 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 4.10000+ 1 2.26790- 3 0.00000+ 0 2.20000+ 1 4.30000+ 1 9.18272- 4 1.23700- 5 2.20000+ 1 4.40000+ 1 1.87606- 3 1.75100- 5 2.20000+ 1 5.80000+ 1 5.35341- 5 2.78500- 5 2.40000+ 1 2.40000+ 1 5.63089- 2 5.77000- 5 2.40000+ 1 2.50000+ 1 1.92865- 1 6.55800- 5 2.40000+ 1 2.70000+ 1 9.39352- 2 9.53100- 5 2.40000+ 1 2.90000+ 1 8.14509- 2 1.46650- 4 2.40000+ 1 3.00000+ 1 1.04397- 1 1.83740- 4 2.40000+ 1 3.20000+ 1 1.01418- 1 2.58920- 4 2.40000+ 1 3.30000+ 1 1.05217- 1 2.64130- 4 2.40000+ 1 4.10000+ 1 1.59491- 2 2.95010- 4 2.40000+ 1 4.30000+ 1 1.05627- 2 3.08370- 4 2.40000+ 1 4.40000+ 1 1.19975- 2 3.13510- 4 2.40000+ 1 5.80000+ 1 5.44321- 4 3.23850- 4 2.50000+ 1 2.50000+ 1 3.83530- 3 7.34600- 5 2.50000+ 1 2.70000+ 1 7.80002- 3 1.03190- 4 2.50000+ 1 2.90000+ 1 1.48805- 2 1.54530- 4 2.50000+ 1 3.00000+ 1 6.82392- 3 1.91620- 4 2.50000+ 1 3.20000+ 1 1.11238- 1 2.66800- 4 2.50000+ 1 3.30000+ 1 4.63082- 3 2.72010- 4 2.50000+ 1 4.10000+ 1 9.58554- 4 3.02890- 4 2.50000+ 1 4.30000+ 1 1.28557- 3 3.16250- 4 2.50000+ 1 4.40000+ 1 6.33827- 4 3.21390- 4 2.50000+ 1 5.80000+ 1 3.20427- 5 3.31730- 4 2.70000+ 1 2.70000+ 1 8.08461- 4 1.32920- 4 2.70000+ 1 2.90000+ 1 1.89015- 3 1.84260- 4 2.70000+ 1 3.00000+ 1 1.58799- 3 2.21350- 4 2.70000+ 1 3.20000+ 1 9.93097- 3 2.96530- 4 2.70000+ 1 3.30000+ 1 2.20730- 3 3.01740- 4 2.70000+ 1 4.10000+ 1 1.58249- 4 3.32620- 4 2.70000+ 1 4.30000+ 1 1.65288- 4 3.45980- 4 2.70000+ 1 4.40000+ 1 1.43410- 4 3.51120- 4 2.70000+ 1 5.80000+ 1 5.07981- 6 3.61460- 4 2.90000+ 1 2.90000+ 1 3.47772- 4 2.35600- 4 2.90000+ 1 3.00000+ 1 1.98653- 3 2.72690- 4 2.90000+ 1 3.20000+ 1 6.31334- 3 3.47870- 4 2.90000+ 1 3.30000+ 1 8.35417- 4 3.53080- 4 2.90000+ 1 4.10000+ 1 1.14104- 4 3.83960- 4 2.90000+ 1 4.30000+ 1 6.29104- 5 3.97320- 4 2.90000+ 1 4.40000+ 1 1.41061- 4 4.02460- 4 2.90000+ 1 5.80000+ 1 3.90755- 6 4.12800- 4 3.00000+ 1 3.00000+ 1 7.51828- 4 3.09780- 4 3.00000+ 1 3.20000+ 1 1.28586- 2 3.84960- 4 3.00000+ 1 3.30000+ 1 1.11837- 3 3.90170- 4 3.00000+ 1 4.10000+ 1 6.72107- 5 4.21050- 4 3.00000+ 1 4.30000+ 1 1.30906- 4 4.34410- 4 3.00000+ 1 4.40000+ 1 1.07068- 4 4.39550- 4 3.00000+ 1 5.80000+ 1 1.95379- 6 4.49890- 4 3.20000+ 1 3.20000+ 1 7.37624- 3 4.60140- 4 3.20000+ 1 3.30000+ 1 1.44239- 2 4.65350- 4 3.20000+ 1 4.10000+ 1 1.25662- 3 4.96230- 4 3.20000+ 1 4.30000+ 1 8.27222- 4 5.09590- 4 3.20000+ 1 4.40000+ 1 1.46689- 3 5.14730- 4 3.20000+ 1 5.80000+ 1 4.29827- 5 5.25070- 4 3.30000+ 1 3.30000+ 1 2.62977- 4 4.70560- 4 3.30000+ 1 4.10000+ 1 5.97844- 5 5.01440- 4 3.30000+ 1 4.30000+ 1 5.00166- 5 5.14800- 4 3.30000+ 1 4.40000+ 1 9.06555- 5 5.19940- 4 3.30000+ 1 5.80000+ 1 1.95375- 6 5.30280- 4 4.10000+ 1 4.10000+ 1 4.29844- 6 5.32320- 4 4.10000+ 1 4.30000+ 1 7.81519- 6 5.45680- 4 4.10000+ 1 4.40000+ 1 5.86149- 6 5.50820- 4 4.10000+ 1 5.80000+ 1 3.90768- 7 5.61160- 4 4.30000+ 1 4.30000+ 1 1.17239- 6 5.59040- 4 4.30000+ 1 4.40000+ 1 8.98777- 6 5.64180- 4 4.30000+ 1 5.80000+ 1 3.90773- 7 5.74520- 4 4.40000+ 1 4.40000+ 1 3.90758- 6 5.69320- 4 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.47311- 5 2.96000- 4 2.50000+ 1 3.25421- 4 3.03880- 4 3.00000+ 1 8.67734- 5 4.22040- 4 4.40000+ 1 1.03780- 5 5.51810- 4 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 3.05154- 3 2.60500- 5 2.40000+ 1 2.50000+ 1 4.53186- 2 3.39300- 5 2.40000+ 1 2.70000+ 1 1.21326- 2 6.36600- 5 2.40000+ 1 2.90000+ 1 7.93056- 3 1.15000- 4 2.40000+ 1 3.00000+ 1 1.55411- 2 1.52090- 4 2.40000+ 1 3.20000+ 1 6.60292- 3 2.27270- 4 2.40000+ 1 3.30000+ 1 9.99161- 2 2.32480- 4 2.40000+ 1 4.10000+ 1 1.71379- 3 2.63360- 4 2.40000+ 1 4.30000+ 1 9.79004- 4 2.76720- 4 2.40000+ 1 4.40000+ 1 1.48622- 3 2.81860- 4 2.40000+ 1 5.80000+ 1 5.83261- 5 2.92200- 4 2.50000+ 1 2.50000+ 1 6.29943- 2 4.18100- 5 2.50000+ 1 2.70000+ 1 1.05709- 1 7.15400- 5 2.50000+ 1 2.90000+ 1 1.12538- 1 1.22880- 4 2.50000+ 1 3.00000+ 1 1.08449- 1 1.59970- 4 2.50000+ 1 3.20000+ 1 9.99433- 2 2.35150- 4 2.50000+ 1 3.30000+ 1 1.84680- 1 2.40360- 4 2.50000+ 1 4.10000+ 1 1.80360- 2 2.71240- 4 2.50000+ 1 4.30000+ 1 1.41145- 2 2.84600- 4 2.50000+ 1 4.40000+ 1 1.25137- 2 2.89740- 4 2.50000+ 1 5.80000+ 1 6.14805- 4 3.00080- 4 2.70000+ 1 2.70000+ 1 1.50317- 3 1.01270- 4 2.70000+ 1 2.90000+ 1 1.99872- 3 1.52610- 4 2.70000+ 1 3.00000+ 1 3.49699- 3 1.89700- 4 2.70000+ 1 3.20000+ 1 3.04773- 3 2.64880- 4 2.70000+ 1 3.30000+ 1 1.32168- 2 2.70090- 4 2.70000+ 1 4.10000+ 1 2.84295- 4 3.00970- 4 2.70000+ 1 4.30000+ 1 1.81033- 4 3.14330- 4 2.70000+ 1 4.40000+ 1 3.12822- 4 3.19470- 4 2.70000+ 1 5.80000+ 1 9.50535- 6 3.29810- 4 2.90000+ 1 2.90000+ 1 2.45846- 4 2.03950- 4 2.90000+ 1 3.00000+ 1 3.57485- 3 2.41040- 4 2.90000+ 1 3.20000+ 1 4.55385- 4 3.16220- 4 2.90000+ 1 3.30000+ 1 1.00181- 2 3.21430- 4 2.90000+ 1 4.10000+ 1 1.16659- 4 3.52310- 4 2.90000+ 1 4.30000+ 1 4.27748- 5 3.65670- 4 2.90000+ 1 4.40000+ 1 2.63565- 4 3.70810- 4 2.90000+ 1 5.80000+ 1 3.88853- 6 3.81150- 4 3.00000+ 1 3.00000+ 1 1.17475- 3 2.78130- 4 3.00000+ 1 3.20000+ 1 1.67668- 3 3.53310- 4 3.00000+ 1 3.30000+ 1 1.32973- 2 3.58520- 4 3.00000+ 1 4.10000+ 1 1.18374- 4 3.89400- 4 3.00000+ 1 4.30000+ 1 1.65468- 4 4.02760- 4 3.00000+ 1 4.40000+ 1 1.68058- 4 4.07900- 4 3.00000+ 1 5.80000+ 1 3.45635- 6 4.18240- 4 3.20000+ 1 3.20000+ 1 1.24439- 4 4.28490- 4 3.20000+ 1 3.30000+ 1 1.19479- 2 4.33700- 4 3.20000+ 1 4.10000+ 1 7.38811- 5 4.64580- 4 3.20000+ 1 4.30000+ 1 3.80204- 5 4.77940- 4 3.20000+ 1 4.40000+ 1 1.38687- 4 4.83080- 4 3.20000+ 1 5.80000+ 1 2.16029- 6 4.93420- 4 3.30000+ 1 3.30000+ 1 1.32340- 2 4.38910- 4 3.30000+ 1 4.10000+ 1 1.45479- 3 4.69790- 4 3.30000+ 1 4.30000+ 1 1.20161- 3 4.83150- 4 3.30000+ 1 4.40000+ 1 1.54598- 3 4.88290- 4 3.30000+ 1 5.80000+ 1 4.96862- 5 4.98630- 4 4.10000+ 1 4.10000+ 1 8.20903- 6 5.00670- 4 4.10000+ 1 4.30000+ 1 9.50520- 6 5.14030- 4 4.10000+ 1 4.40000+ 1 1.16658- 5 5.19170- 4 4.10000+ 1 5.80000+ 1 4.32065- 7 5.29510- 4 4.30000+ 1 4.30000+ 1 1.29618- 6 5.27390- 4 4.30000+ 1 4.40000+ 1 1.29618- 5 5.32530- 4 4.30000+ 1 5.80000+ 1 4.32071- 7 5.42870- 4 4.40000+ 1 4.40000+ 1 6.48076- 6 5.37670- 4 4.40000+ 1 5.80000+ 1 4.32068- 7 5.48010- 4 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 2.47062- 5 2.01220- 4 3.30000+ 1 1.61712- 6 2.06430- 4 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 5.80000+ 1 8.14148- 4 4.08000- 6 2.70000+ 1 4.30000+ 1 6.31398- 3 1.83300- 5 2.70000+ 1 4.40000+ 1 1.11618- 2 2.34700- 5 2.70000+ 1 5.80000+ 1 6.69382- 4 3.38100- 5 2.90000+ 1 3.20000+ 1 9.56340- 2 2.02200- 5 2.90000+ 1 3.30000+ 1 7.43724- 2 2.54300- 5 2.90000+ 1 4.10000+ 1 3.57482- 2 5.63100- 5 2.90000+ 1 4.30000+ 1 1.41106- 2 6.96700- 5 2.90000+ 1 4.40000+ 1 2.41516- 2 7.48100- 5 2.90000+ 1 5.80000+ 1 1.08547- 3 8.51500- 5 3.00000+ 1 3.20000+ 1 1.39229- 1 5.73100- 5 3.00000+ 1 3.30000+ 1 8.16847- 2 6.25200- 5 3.00000+ 1 4.10000+ 1 1.59921- 2 9.34000- 5 3.00000+ 1 4.30000+ 1 1.44544- 2 1.06760- 4 3.00000+ 1 4.40000+ 1 8.35785- 3 1.11900- 4 3.00000+ 1 5.80000+ 1 5.24647- 4 1.22240- 4 3.20000+ 1 3.20000+ 1 1.41057- 1 1.32490- 4 3.20000+ 1 3.30000+ 1 2.02755- 1 1.37700- 4 3.20000+ 1 4.10000+ 1 1.14880- 2 1.68580- 4 3.20000+ 1 4.30000+ 1 3.16239- 2 1.81940- 4 3.20000+ 1 4.40000+ 1 2.17823- 2 1.87080- 4 3.20000+ 1 5.80000+ 1 3.98021- 4 1.97420- 4 3.30000+ 1 3.30000+ 1 2.35858- 2 1.42910- 4 3.30000+ 1 4.10000+ 1 3.71504- 3 1.73790- 4 3.30000+ 1 4.30000+ 1 2.54331- 2 1.87150- 4 3.30000+ 1 4.40000+ 1 1.01353- 2 1.92290- 4 3.30000+ 1 5.80000+ 1 1.14306- 4 2.02630- 4 4.10000+ 1 4.10000+ 1 7.23647- 5 2.04670- 4 4.10000+ 1 4.30000+ 1 1.17593- 3 2.18030- 4 4.10000+ 1 4.40000+ 1 8.32225- 4 2.23170- 4 4.30000+ 1 4.30000+ 1 3.98027- 4 2.31390- 4 4.30000+ 1 4.40000+ 1 8.68402- 4 2.36530- 4 4.30000+ 1 5.80000+ 1 3.61837- 5 2.46870- 4 4.40000+ 1 4.40000+ 1 1.80929- 4 2.41670- 4 4.40000+ 1 5.80000+ 1 1.80929- 5 2.52010- 4 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 2.37940- 5 1.98550- 4 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 4.30000+ 1 4.82627- 3 1.04500- 5 2.70000+ 1 4.40000+ 1 9.81379- 3 1.55900- 5 2.70000+ 1 5.80000+ 1 9.50918- 4 2.59300- 5 2.90000+ 1 3.20000+ 1 2.24989- 2 1.23400- 5 2.90000+ 1 3.30000+ 1 5.85977- 2 1.75500- 5 2.90000+ 1 4.10000+ 1 3.62428- 3 4.84300- 5 2.90000+ 1 4.30000+ 1 9.50924- 4 6.17900- 5 2.90000+ 1 4.40000+ 1 6.96155- 3 6.69300- 5 2.90000+ 1 5.80000+ 1 1.61476- 4 7.72700- 5 3.00000+ 1 3.20000+ 1 1.04355- 1 4.94300- 5 3.00000+ 1 3.30000+ 1 2.78304- 1 5.46400- 5 3.00000+ 1 4.10000+ 1 3.24019- 2 8.55200- 5 3.00000+ 1 4.30000+ 1 1.00294- 2 9.88800- 5 3.00000+ 1 4.40000+ 1 3.45007- 2 1.04020- 4 3.00000+ 1 5.80000+ 1 1.05846- 3 1.14360- 4 3.20000+ 1 3.20000+ 1 1.20934- 2 1.24610- 4 3.20000+ 1 3.30000+ 1 1.53917- 1 1.29820- 4 3.20000+ 1 4.10000+ 1 2.78102- 3 1.60700- 4 3.20000+ 1 4.30000+ 1 2.51192- 3 1.74060- 4 3.20000+ 1 4.40000+ 1 1.93771- 2 1.79200- 4 3.20000+ 1 5.80000+ 1 8.97069- 5 1.89540- 4 3.30000+ 1 3.30000+ 1 1.68961- 1 1.35030- 4 3.30000+ 1 4.10000+ 1 1.22724- 2 1.65910- 4 3.30000+ 1 4.30000+ 1 1.11950- 2 1.79270- 4 3.30000+ 1 4.40000+ 1 4.42088- 2 1.84410- 4 3.30000+ 1 5.80000+ 1 4.12668- 4 1.94750- 4 4.10000+ 1 4.10000+ 1 5.38236- 5 1.96790- 4 4.10000+ 1 4.30000+ 1 4.30598- 4 2.10150- 4 4.10000+ 1 4.40000+ 1 1.36357- 3 2.15290- 4 4.30000+ 1 4.30000+ 1 3.58824- 5 2.23510- 4 4.30000+ 1 4.40000+ 1 4.48546- 4 2.28650- 4 4.30000+ 1 5.80000+ 1 1.79412- 5 2.38990- 4 4.40000+ 1 4.40000+ 1 7.35576- 4 2.33790- 4 4.40000+ 1 5.80000+ 1 3.58824- 5 2.44130- 4 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.34995- 6 5.13400- 5 3.00000+ 1 1.42006- 5 8.84300- 5 4.30000+ 1 1.32340- 6 2.13060- 4 4.40000+ 1 3.61979- 8 2.18200- 4 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 3.71451- 2 1.87000- 5 2.90000+ 1 4.30000+ 1 2.06240- 2 3.20600- 5 2.90000+ 1 4.40000+ 1 4.16416- 2 3.72000- 5 2.90000+ 1 5.80000+ 1 1.20021- 3 4.75400- 5 3.00000+ 1 3.20000+ 1 3.61905- 1 1.97000- 5 3.00000+ 1 3.30000+ 1 2.99805- 1 2.49100- 5 3.00000+ 1 4.10000+ 1 2.01278- 2 5.57900- 5 3.00000+ 1 4.30000+ 1 1.79282- 2 6.91500- 5 3.00000+ 1 4.40000+ 1 1.72422- 2 7.42900- 5 3.00000+ 1 5.80000+ 1 6.78441- 4 8.46300- 5 3.20000+ 1 3.20000+ 1 2.04066- 3 9.48800- 5 3.20000+ 1 3.30000+ 1 1.23656- 1 1.00090- 4 3.20000+ 1 4.10000+ 1 7.67716- 3 1.30970- 4 3.20000+ 1 4.30000+ 1 1.02641- 3 1.44330- 4 3.20000+ 1 4.40000+ 1 6.35160- 3 1.49470- 4 3.20000+ 1 5.80000+ 1 2.19064- 4 1.59810- 4 3.30000+ 1 3.30000+ 1 2.21681- 2 1.05300- 4 3.30000+ 1 4.10000+ 1 7.42450- 3 1.36180- 4 3.30000+ 1 4.30000+ 1 2.96844- 3 1.49540- 4 3.30000+ 1 4.40000+ 1 2.80798- 3 1.54680- 4 3.30000+ 1 5.80000+ 1 2.11357- 4 1.65020- 4 4.10000+ 1 4.10000+ 1 9.07246- 4 1.67060- 4 4.10000+ 1 4.30000+ 1 9.77507- 4 1.80420- 4 4.10000+ 1 4.40000+ 1 1.44998- 3 1.85560- 4 4.10000+ 1 5.80000+ 1 5.53966- 5 1.95900- 4 4.30000+ 1 4.30000+ 1 1.46053- 4 1.93780- 4 4.30000+ 1 4.40000+ 1 9.12248- 4 1.98920- 4 4.30000+ 1 5.80000+ 1 4.65096- 5 2.09260- 4 4.40000+ 1 4.40000+ 1 5.49873- 4 2.04060- 4 4.40000+ 1 5.80000+ 1 8.87232- 5 2.14400- 4 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.60910- 5 1.12270- 4 4.10000+ 1 1.72511- 6 1.48360- 4 5.80000+ 1 5.82672- 8 1.77200- 4 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 4.10000+ 1 1.70287- 2 4.45000- 6 3.00000+ 1 4.30000+ 1 1.46947- 2 1.78100- 5 3.00000+ 1 4.40000+ 1 9.37038- 3 2.29500- 5 3.00000+ 1 5.80000+ 1 3.84410- 4 3.32900- 5 3.20000+ 1 3.20000+ 1 1.47686- 1 4.35400- 5 3.20000+ 1 3.30000+ 1 6.44675- 1 4.87500- 5 3.20000+ 1 4.10000+ 1 3.97365- 2 7.96300- 5 3.20000+ 1 4.30000+ 1 2.51338- 2 9.29900- 5 3.20000+ 1 4.40000+ 1 4.11632- 2 9.81300- 5 3.20000+ 1 5.80000+ 1 1.42830- 3 1.08470- 4 3.30000+ 1 3.30000+ 1 2.46539- 2 5.39600- 5 3.30000+ 1 4.10000+ 1 3.08569- 3 8.48400- 5 3.30000+ 1 4.30000+ 1 2.06982- 2 9.82000- 5 3.30000+ 1 4.40000+ 1 4.89065- 3 1.03340- 4 3.30000+ 1 5.80000+ 1 9.07637- 5 1.13680- 4 4.10000+ 1 4.10000+ 1 5.80533- 5 1.15720- 4 4.10000+ 1 4.30000+ 1 1.74794- 3 1.29080- 4 4.10000+ 1 4.40000+ 1 2.67104- 4 1.34220- 4 4.10000+ 1 5.80000+ 1 3.60951- 6 1.44560- 4 4.30000+ 1 4.30000+ 1 9.27051- 4 1.42440- 4 4.30000+ 1 4.40000+ 1 2.09499- 3 1.47580- 4 4.30000+ 1 5.80000+ 1 6.16640- 5 1.57920- 4 4.40000+ 1 4.40000+ 1 9.47520- 5 1.52720- 4 4.40000+ 1 5.80000+ 1 6.91834- 6 1.63060- 4 1 87000 0 7 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 2.44951- 7 7.51800- 5 3.30000+ 1 2.70991- 6 8.03900- 5 4.10000+ 1 8.36594- 7 1.11270- 4 5.80000+ 1 2.76331- 8 1.40110- 4 1 87000 0 9 2.23000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 2.62162- 2 6.45000- 6 3.20000+ 1 3.30000+ 1 4.77113- 1 1.16600- 5 3.20000+ 1 4.10000+ 1 4.92696- 3 4.25400- 5 3.20000+ 1 4.30000+ 1 2.80124- 3 5.59000- 5 3.20000+ 1 4.40000+ 1 8.65351- 3 6.10400- 5 3.20000+ 1 5.80000+ 1 1.31258- 4 7.13800- 5 3.30000+ 1 3.30000+ 1 3.78663- 1 1.68700- 5 3.30000+ 1 4.10000+ 1 3.34703- 2 4.77500- 5 3.30000+ 1 4.30000+ 1 2.94503- 2 6.11100- 5 3.30000+ 1 4.40000+ 1 3.43352- 2 6.62500- 5 3.30000+ 1 5.80000+ 1 1.10308- 3 7.65900- 5 4.10000+ 1 4.10000+ 1 1.43753- 4 7.86300- 5 4.10000+ 1 4.30000+ 1 2.43809- 4 9.19900- 5 4.10000+ 1 4.40000+ 1 1.07005- 3 9.71300- 5 4.10000+ 1 5.80000+ 1 8.49192- 6 1.07470- 4 4.30000+ 1 4.30000+ 1 1.23074- 7 1.05350- 4 4.30000+ 1 4.40000+ 1 7.88750- 4 1.10490- 4 4.30000+ 1 5.80000+ 1 4.43062- 6 1.20830- 4 4.40000+ 1 4.40000+ 1 8.39581- 4 1.15630- 4 4.40000+ 1 5.80000+ 1 3.29825- 5 1.25970- 4 1 88000 0 0 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 5.80000+ 1 2.00000+ 0 1 88000 0 0 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.04320- 1 3.00000+ 0 1.92320- 2 5.00000+ 0 1.85600- 2 6.00000+ 0 1.54560- 2 8.00000+ 0 4.79510- 3 1.00000+ 1 4.48200- 3 1.10000+ 1 3.77370- 3 1.30000+ 1 3.25870- 3 1.40000+ 1 3.11130- 3 1.60000+ 1 1.18970- 3 1.80000+ 1 1.04860- 3 1.90000+ 1 8.67310- 4 2.10000+ 1 6.36770- 4 2.20000+ 1 6.03060- 4 2.40000+ 1 2.99700- 4 2.50000+ 1 2.91190- 4 2.70000+ 1 2.53630- 4 2.90000+ 1 2.00320- 4 3.00000+ 1 1.59830- 4 3.20000+ 1 8.13200- 5 3.30000+ 1 7.55200- 5 4.10000+ 1 3.95400- 5 4.30000+ 1 2.48800- 5 4.40000+ 1 1.86200- 5 5.80000+ 1 4.73000- 6 1 88000 0 0 2.26000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.52660- 1 3.00000+ 0 3.76000- 2 5.00000+ 0 3.75990- 2 6.00000+ 0 2.50550- 2 8.00000+ 0 1.20480- 2 1.00000+ 1 1.19160- 2 1.10000+ 1 8.75960- 3 1.30000+ 1 8.60050- 3 1.40000+ 1 7.98360- 3 1.60000+ 1 4.09770- 3 1.80000+ 1 3.95010- 3 1.90000+ 1 2.98440- 3 2.10000+ 1 2.74910- 3 2.20000+ 1 2.56430- 3 2.40000+ 1 2.20150- 3 2.50000+ 1 2.13890- 3 2.70000+ 1 1.21350- 3 2.90000+ 1 1.09760- 3 3.00000+ 1 8.31040- 4 3.20000+ 1 6.30580- 4 3.30000+ 1 5.85430- 4 4.10000+ 1 2.72570- 4 4.30000+ 1 2.10690- 4 4.40000+ 1 1.51580- 4 5.80000+ 1 3.20300- 5 1 88000 0 0 2.26000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.70000-11 3.00000+ 0 3.19120-10 5.00000+ 0 2.59460-10 6.00000+ 0 3.10660-10 8.00000+ 0 8.29080-10 1.00000+ 1 7.79660-10 1.10000+ 1 8.71950-10 1.30000+ 1 7.53010-10 1.40000+ 1 7.80810-10 1.60000+ 1 1.80920- 9 1.80000+ 1 1.80220- 9 1.90000+ 1 1.98870- 9 2.10000+ 1 1.98020- 9 2.20000+ 1 2.03700- 9 2.40000+ 1 2.00460- 9 2.50000+ 1 2.03350- 9 2.70000+ 1 3.83420- 9 2.90000+ 1 4.00830- 9 3.00000+ 1 4.42920- 9 3.20000+ 1 5.06250- 9 3.30000+ 1 5.21700- 9 4.10000+ 1 8.64220- 9 4.30000+ 1 9.75820- 9 4.40000+ 1 1.10170- 8 5.80000+ 1 2.47260- 8 1 88000 0 0 2.26000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.64880- 5 3.00000+ 0 1.94310- 6 5.00000+ 0 3.41720- 6 6.00000+ 0 2.89850- 6 8.00000+ 0 8.32940- 8 1.00000+ 1 9.21360- 8 1.10000+ 1 1.01850- 7 1.30000+ 1 1.30230- 7 1.40000+ 1 1.20670- 7 1.60000+ 1 4.06450- 9 1.80000+ 1 5.39260- 9 1.90000+ 1 3.65390- 9 2.10000+ 1 2.73630- 9 2.20000+ 1 2.15030- 9 2.40000+ 1 7.29210-11 2.50000+ 1 6.66120-11 2.70000+ 1 2.57720-10 2.90000+ 1 5.34630-10 3.00000+ 1 2.75880-10 1 88000 0 0 2.26000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.52180- 6 3.00000+ 0 1.34490- 5 5.00000+ 0 4.04510- 6 6.00000+ 0 4.16080- 6 8.00000+ 0 1.86850- 5 1.00000+ 1 1.42760- 5 1.10000+ 1 1.15360- 5 1.30000+ 1 2.96650- 6 1.40000+ 1 2.95720- 6 1.60000+ 1 1.38550- 5 1.80000+ 1 1.48310- 5 1.90000+ 1 9.52290- 6 2.10000+ 1 6.66630- 6 2.20000+ 1 6.21110- 6 2.40000+ 1 1.45970- 7 2.50000+ 1 1.56210- 7 2.70000+ 1 2.23330- 5 2.90000+ 1 8.83500- 6 3.00000+ 1 2.03720- 5 1 88000 0 0 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.75446- 4 3.00000+ 0 1.11782- 3 5.00000+ 0 7.96078- 4 6.00000+ 0 7.77688- 4 8.00000+ 0 8.14907- 4 1.00000+ 1 7.19185- 4 1.10000+ 1 6.40300- 4 1.30000+ 1 4.86224- 4 1.40000+ 1 4.77824- 4 1.60000+ 1 4.28862- 4 1.80000+ 1 4.16652- 4 1.90000+ 1 3.89682- 4 2.10000+ 1 3.06872- 4 2.20000+ 1 2.97499- 4 2.40000+ 1 1.83366- 4 2.50000+ 1 1.87990- 4 2.70000+ 1 2.02066- 4 2.90000+ 1 1.49835- 4 3.00000+ 1 1.46558- 4 3.20000+ 1 8.13200- 5 3.30000+ 1 7.55200- 5 4.10000+ 1 3.95400- 5 4.30000+ 1 2.48800- 5 4.40000+ 1 1.86200- 5 5.80000+ 1 4.73000- 6 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.39411+ 0 3.00000+ 0 5.25691- 1 5.00000+ 0 5.88220- 1 6.00000+ 0 4.79031- 1 8.00000+ 0 4.79100- 2 1.00000+ 1 4.81306- 2 1.10000+ 1 4.44738- 2 1.30000+ 1 5.15802- 2 1.40000+ 1 4.75036- 2 1.60000+ 1 1.59636- 3 1.80000+ 1 1.81125- 3 1.90000+ 1 1.05901- 3 2.10000+ 1 5.81790- 4 2.20000+ 1 5.11493- 4 2.40000+ 1 4.14751- 5 2.50000+ 1 3.56515- 5 2.70000+ 1 2.41604- 5 2.90000+ 1 2.21156- 5 3.00000+ 1 4.68889- 6 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.27857- 2 3.00000+ 0 6.27564- 3 5.00000+ 0 8.32483- 3 6.00000+ 0 5.50278- 3 8.00000+ 0 1.38950- 4 1.00000+ 1 1.40411- 4 1.10000+ 1 1.26038- 4 1.30000+ 1 1.48645- 4 1.40000+ 1 1.31440- 4 1.60000+ 1 9.07222- 7 1.80000+ 1 8.75072- 7 1.90000+ 1 4.98857- 7 2.10000+ 1 2.06165- 7 2.20000+ 1 1.70031- 7 2.40000+ 1 8.31336- 9 2.50000+ 1 7.15770- 9 2.70000+ 1 2.51213- 9 2.90000+ 1 2.73024- 9 3.00000+ 1 4.40807-10 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.88767+ 0 3.00000+ 0 1.46938+ 1 5.00000+ 0 1.01739+ 1 6.00000+ 0 9.91871+ 0 8.00000+ 0 1.04570+ 1 1.00000+ 1 9.10124+ 0 1.10000+ 1 7.99980+ 0 1.30000+ 1 5.81992+ 0 1.40000+ 1 5.71176+ 0 1.60000+ 1 5.02516+ 0 1.80000+ 1 4.84214+ 0 1.90000+ 1 4.46209+ 0 2.10000+ 1 3.29769+ 0 2.20000+ 1 3.16958+ 0 2.40000+ 1 1.59429+ 0 2.50000+ 1 1.65414+ 0 2.70000+ 1 1.81860+ 0 2.90000+ 1 1.03996+ 0 3.00000+ 1 9.99995- 1 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.07589- 2 3.00000+ 0 1.18385- 2 5.00000+ 0 9.43910- 3 6.00000+ 0 9.17553- 3 8.00000+ 0 3.84124- 3 1.00000+ 1 3.62240- 3 1.10000+ 1 3.00736- 3 1.30000+ 1 2.62383- 3 1.40000+ 1 2.50204- 3 1.60000+ 1 7.59931- 4 1.80000+ 1 6.31073- 4 1.90000+ 1 4.77129- 4 2.10000+ 1 3.29692- 4 2.20000+ 1 3.05391- 4 2.40000+ 1 1.16326- 4 2.50000+ 1 1.03193- 4 2.70000+ 1 5.15613- 5 2.90000+ 1 5.04823- 5 3.00000+ 1 1.32711- 5 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.86148- 1 8.57600- 2 6.00000+ 0 4.67317- 1 8.88640- 2 1.00000+ 1 5.32217- 2 9.98380- 2 1.10000+ 1 1.03579- 1 1.00546- 1 1.30000+ 1 1.69219- 3 1.01061- 1 1.40000+ 1 1.97859- 3 1.01209- 1 1.80000+ 1 1.30879- 2 1.03271- 1 1.90000+ 1 2.61248- 2 1.03453- 1 2.10000+ 1 4.79687- 4 1.03683- 1 2.20000+ 1 5.61606- 4 1.03717- 1 2.90000+ 1 3.12578- 3 1.04120- 1 3.00000+ 1 6.04326- 3 1.04160- 1 3.20000+ 1 8.71414- 5 1.04239- 1 3.30000+ 1 1.01089- 4 1.04244- 1 4.30000+ 1 4.90797- 4 1.04295- 1 4.40000+ 1 8.61444- 4 1.04301- 1 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.97507- 3 6.58560- 2 3.00000+ 0 5.00000+ 0 6.88726- 3 6.65280- 2 3.00000+ 0 6.00000+ 0 3.02821- 3 6.96320- 2 3.00000+ 0 8.00000+ 0 1.63918- 3 8.02929- 2 3.00000+ 0 1.00000+ 1 1.51030- 3 8.06060- 2 3.00000+ 0 1.10000+ 1 7.35932- 4 8.13143- 2 3.00000+ 0 1.30000+ 1 6.38188- 5 8.18293- 2 3.00000+ 0 1.40000+ 1 4.28746- 5 8.19767- 2 3.00000+ 0 1.60000+ 1 4.26393- 4 8.38983- 2 3.00000+ 0 1.80000+ 1 3.85741- 4 8.40394- 2 3.00000+ 0 1.90000+ 1 1.88945- 4 8.42207- 2 3.00000+ 0 2.10000+ 1 1.80665- 5 8.44512- 2 3.00000+ 0 2.20000+ 1 1.19681- 5 8.44849- 2 3.00000+ 0 2.40000+ 1 3.78725- 8 8.47883- 2 3.00000+ 0 2.50000+ 1 3.78725- 8 8.47968- 2 3.00000+ 0 2.70000+ 1 1.02372- 4 8.48344- 2 3.00000+ 0 2.90000+ 1 8.59736- 5 8.48877- 2 3.00000+ 0 3.00000+ 1 4.14353- 5 8.49282- 2 3.00000+ 0 3.20000+ 1 3.18137- 6 8.50067- 2 3.00000+ 0 3.30000+ 1 2.08309- 6 8.50125- 2 5.00000+ 0 5.00000+ 0 2.94714- 4 6.72000- 2 5.00000+ 0 6.00000+ 0 5.06679- 3 7.03040- 2 5.00000+ 0 8.00000+ 0 1.24776- 3 8.09649- 2 5.00000+ 0 1.00000+ 1 1.13659- 4 8.12780- 2 5.00000+ 0 1.10000+ 1 1.04024- 3 8.19863- 2 5.00000+ 0 1.30000+ 1 6.39327- 5 8.25013- 2 5.00000+ 0 1.40000+ 1 1.54047- 4 8.26487- 2 5.00000+ 0 1.60000+ 1 3.15221- 4 8.45703- 2 5.00000+ 0 1.80000+ 1 2.82166- 5 8.47114- 2 5.00000+ 0 1.90000+ 1 2.56412- 4 8.48927- 2 5.00000+ 0 2.10000+ 1 1.73479- 5 8.51232- 2 5.00000+ 0 2.20000+ 1 4.20049- 5 8.51569- 2 5.00000+ 0 2.40000+ 1 5.30233- 7 8.54603- 2 5.00000+ 0 2.50000+ 1 7.95342- 7 8.54688- 2 5.00000+ 0 2.70000+ 1 7.51435- 5 8.55064- 2 5.00000+ 0 2.90000+ 1 6.24933- 6 8.55597- 2 5.00000+ 0 3.00000+ 1 5.56766- 5 8.56002- 2 5.00000+ 0 3.20000+ 1 3.03005- 6 8.56787- 2 5.00000+ 0 3.30000+ 1 7.27221- 6 8.56845- 2 6.00000+ 0 6.00000+ 0 2.10369- 3 7.34080- 2 6.00000+ 0 8.00000+ 0 4.90948- 4 8.40689- 2 6.00000+ 0 1.00000+ 1 9.19096- 4 8.43820- 2 6.00000+ 0 1.10000+ 1 8.91474- 4 8.50903- 2 6.00000+ 0 1.30000+ 1 1.67715- 4 8.56053- 2 6.00000+ 0 1.40000+ 1 1.35551- 4 8.57527- 2 6.00000+ 0 1.60000+ 1 1.20706- 4 8.76743- 2 6.00000+ 0 1.80000+ 1 2.24708- 4 8.78154- 2 6.00000+ 0 1.90000+ 1 2.21673- 4 8.79967- 2 6.00000+ 0 2.10000+ 1 4.60939- 5 8.82272- 2 6.00000+ 0 2.20000+ 1 3.71540- 5 8.82609- 2 6.00000+ 0 2.40000+ 1 8.33249- 7 8.85643- 2 6.00000+ 0 2.50000+ 1 9.08991- 7 8.85728- 2 6.00000+ 0 2.70000+ 1 2.85572- 5 8.86104- 2 6.00000+ 0 2.90000+ 1 4.95402- 5 8.86637- 2 6.00000+ 0 3.00000+ 1 4.82139- 5 8.87042- 2 6.00000+ 0 3.20000+ 1 8.06715- 6 8.87827- 2 6.00000+ 0 3.30000+ 1 6.43839- 6 8.87885- 2 8.00000+ 0 8.00000+ 0 1.67064- 4 9.47298- 2 8.00000+ 0 1.00000+ 1 2.75342- 4 9.50429- 2 8.00000+ 0 1.10000+ 1 1.20749- 4 9.57512- 2 8.00000+ 0 1.30000+ 1 1.01881- 5 9.62662- 2 8.00000+ 0 1.40000+ 1 6.40084- 6 9.64136- 2 8.00000+ 0 1.60000+ 1 8.67704- 5 9.83352- 2 8.00000+ 0 1.80000+ 1 7.04457- 5 9.84763- 2 8.00000+ 0 1.90000+ 1 3.10949- 5 9.86576- 2 8.00000+ 0 2.10000+ 1 2.87845- 6 9.88881- 2 8.00000+ 0 2.20000+ 1 1.78005- 6 9.89218- 2 8.00000+ 0 2.70000+ 1 2.08311- 5 9.92713- 2 8.00000+ 0 2.90000+ 1 1.57168- 5 9.93246- 2 8.00000+ 0 3.00000+ 1 6.81717- 6 9.93651- 2 8.00000+ 0 3.20000+ 1 4.92352- 7 9.94436- 2 8.00000+ 0 3.30000+ 1 3.02999- 7 9.94494- 2 1.00000+ 1 1.00000+ 1 1.05668- 5 9.53560- 2 1.00000+ 1 1.10000+ 1 1.94818- 4 9.60643- 2 1.00000+ 1 1.30000+ 1 1.04531- 5 9.65793- 2 1.00000+ 1 1.40000+ 1 2.08684- 5 9.67267- 2 1.00000+ 1 1.60000+ 1 6.96100- 5 9.86483- 2 1.00000+ 1 1.80000+ 1 5.18886- 6 9.87894- 2 1.00000+ 1 1.90000+ 1 4.83643- 5 9.89707- 2 1.00000+ 1 2.10000+ 1 2.87845- 6 9.92012- 2 1.00000+ 1 2.20000+ 1 5.75681- 6 9.92349- 2 1.00000+ 1 2.40000+ 1 7.57458- 8 9.95383- 2 1.00000+ 1 2.50000+ 1 7.57458- 8 9.95468- 2 1.00000+ 1 2.70000+ 1 1.65887- 5 9.95844- 2 1.00000+ 1 2.90000+ 1 1.13624- 6 9.96377- 2 1.00000+ 1 3.00000+ 1 1.05289- 5 9.96782- 2 1.00000+ 1 3.20000+ 1 4.92352- 7 9.97567- 2 1.00000+ 1 3.30000+ 1 9.84736- 7 9.97625- 2 1.10000+ 1 1.10000+ 1 9.55555- 5 9.67726- 2 1.10000+ 1 1.30000+ 1 2.87843- 5 9.72876- 2 1.10000+ 1 1.40000+ 1 2.23846- 5 9.74350- 2 1.10000+ 1 1.60000+ 1 2.97695- 5 9.93566- 2 1.10000+ 1 1.80000+ 1 4.79492- 5 9.94977- 2 1.10000+ 1 1.90000+ 1 4.76446- 5 9.96790- 2 1.10000+ 1 2.10000+ 1 7.99147- 6 9.99095- 2 1.10000+ 1 2.20000+ 1 6.17338- 6 9.99432- 2 1.10000+ 1 2.40000+ 1 1.13623- 7 1.00247- 1 1.10000+ 1 2.50000+ 1 1.13623- 7 1.00255- 1 1.10000+ 1 2.70000+ 1 7.04450- 6 1.00293- 1 1.10000+ 1 2.90000+ 1 1.06047- 5 1.00346- 1 1.10000+ 1 3.00000+ 1 1.03772- 5 1.00386- 1 1.10000+ 1 3.20000+ 1 1.40133- 6 1.00465- 1 1.10000+ 1 3.30000+ 1 1.06047- 6 1.00471- 1 1.30000+ 1 1.30000+ 1 7.57452- 8 9.78026- 2 1.30000+ 1 1.40000+ 1 3.21920- 6 9.79500- 2 1.30000+ 1 1.60000+ 1 2.49962- 6 9.98716- 2 1.30000+ 1 1.80000+ 1 2.53745- 6 1.00013- 1 1.30000+ 1 1.90000+ 1 6.81711- 6 1.00194- 1 1.30000+ 1 2.10000+ 1 3.78725- 8 1.00425- 1 1.30000+ 1 2.20000+ 1 8.33236- 7 1.00458- 1 1.30000+ 1 2.70000+ 1 6.05959- 7 1.00808- 1 1.30000+ 1 2.90000+ 1 5.68088- 7 1.00861- 1 1.30000+ 1 3.00000+ 1 1.47710- 6 1.00901- 1 1.30000+ 1 3.30000+ 1 1.51492- 7 1.00986- 1 1.40000+ 1 1.40000+ 1 7.57466- 7 9.80974- 2 1.40000+ 1 1.60000+ 1 1.55278- 6 1.00019- 1 1.40000+ 1 1.80000+ 1 4.77226- 6 1.00160- 1 1.40000+ 1 1.90000+ 1 5.26468- 6 1.00341- 1 1.40000+ 1 2.10000+ 1 8.33252- 7 1.00572- 1 1.40000+ 1 2.20000+ 1 4.16604- 7 1.00606- 1 1.40000+ 1 2.70000+ 1 3.78733- 7 1.00955- 1 1.40000+ 1 2.90000+ 1 1.02262- 6 1.01008- 1 1.40000+ 1 3.00000+ 1 1.13625- 6 1.01049- 1 1.40000+ 1 3.20000+ 1 1.51495- 7 1.01127- 1 1.40000+ 1 3.30000+ 1 7.57466- 8 1.01133- 1 1.60000+ 1 1.60000+ 1 1.12491- 5 1.01941- 1 1.60000+ 1 1.80000+ 1 1.78005- 5 1.02082- 1 1.60000+ 1 1.90000+ 1 7.68827- 6 1.02263- 1 1.60000+ 1 2.10000+ 1 7.19587- 7 1.02494- 1 1.60000+ 1 2.20000+ 1 4.16599- 7 1.02527- 1 1.60000+ 1 2.70000+ 1 5.41592- 6 1.02877- 1 1.60000+ 1 2.90000+ 1 3.97686- 6 1.02930- 1 1.60000+ 1 3.00000+ 1 1.66646- 6 1.02970- 1 1.60000+ 1 3.20000+ 1 1.13624- 7 1.03049- 1 1.60000+ 1 3.30000+ 1 7.57457- 8 1.03055- 1 1.80000+ 1 1.80000+ 1 6.43823- 7 1.02223- 1 1.80000+ 1 1.90000+ 1 1.19307- 5 1.02404- 1 1.80000+ 1 2.10000+ 1 6.81704- 7 1.02635- 1 1.80000+ 1 2.20000+ 1 1.32556- 6 1.02668- 1 1.80000+ 1 2.70000+ 1 4.24178- 6 1.03018- 1 1.80000+ 1 2.90000+ 1 2.65101- 7 1.03071- 1 1.80000+ 1 3.00000+ 1 2.57535- 6 1.03112- 1 1.80000+ 1 3.20000+ 1 1.13622- 7 1.03190- 1 1.80000+ 1 3.30000+ 1 2.27231- 7 1.03196- 1 1.90000+ 1 1.90000+ 1 5.89439- 6 1.02585- 1 1.90000+ 1 2.10000+ 1 1.87712- 6 1.02816- 1 1.90000+ 1 2.20000+ 1 1.42662- 6 1.02850- 1 1.90000+ 1 2.40000+ 1 3.75424- 8 1.03153- 1 1.90000+ 1 2.50000+ 1 3.75424- 8 1.03161- 1 1.90000+ 1 2.70000+ 1 1.80213- 6 1.03199- 1 1.90000+ 1 2.90000+ 1 2.62793- 6 1.03252- 1 1.90000+ 1 3.00000+ 1 2.55293- 6 1.03293- 1 1.90000+ 1 3.20000+ 1 3.37895- 7 1.03371- 1 1.90000+ 1 3.30000+ 1 2.62793- 7 1.03377- 1 2.10000+ 1 2.20000+ 1 2.31204- 7 1.03080- 1 2.10000+ 1 2.70000+ 1 1.54140- 7 1.03430- 1 2.10000+ 1 2.90000+ 1 1.54140- 7 1.03483- 1 2.10000+ 1 3.00000+ 1 4.23876- 7 1.03523- 1 2.10000+ 1 3.30000+ 1 3.85344- 8 1.03608- 1 2.20000+ 1 2.20000+ 1 3.95869- 8 1.03114- 1 2.20000+ 1 2.70000+ 1 1.18766- 7 1.03463- 1 2.20000+ 1 2.90000+ 1 3.16712- 7 1.03517- 1 2.20000+ 1 3.00000+ 1 3.16712- 7 1.03557- 1 2.20000+ 1 3.20000+ 1 3.95869- 8 1.03636- 1 2.70000+ 1 2.70000+ 1 6.36759- 7 1.03813- 1 2.70000+ 1 2.90000+ 1 9.36450- 7 1.03866- 1 2.70000+ 1 3.00000+ 1 4.12021- 7 1.03907- 1 2.70000+ 1 3.20000+ 1 3.74567- 8 1.03985- 1 2.90000+ 1 2.90000+ 1 3.95370- 8 1.03919- 1 2.90000+ 1 3.00000+ 1 5.93054- 7 1.03960- 1 2.90000+ 1 3.20000+ 1 3.95370- 8 1.04038- 1 2.90000+ 1 3.30000+ 1 3.95370- 8 1.04044- 1 3.00000+ 1 3.00000+ 1 2.86906- 7 1.04000- 1 3.00000+ 1 3.20000+ 1 8.19745- 8 1.04079- 1 3.00000+ 1 3.30000+ 1 4.09872- 8 1.04085- 1 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.21330- 5 6.72000- 4 6.00000+ 0 5.46801- 3 3.77600- 3 1.00000+ 1 4.33931- 2 1.47500- 2 1.10000+ 1 4.16861- 2 1.54583- 2 1.30000+ 1 1.82200- 3 1.59733- 2 1.40000+ 1 2.72070- 3 1.61207- 2 1.80000+ 1 1.15170- 2 1.81834- 2 1.90000+ 1 1.24070- 2 1.83647- 2 2.10000+ 1 2.97901- 4 1.85952- 2 2.20000+ 1 4.75401- 4 1.86289- 2 2.90000+ 1 2.60990- 3 1.90317- 2 3.00000+ 1 2.82751- 3 1.90722- 2 3.20000+ 1 4.80531- 5 1.91507- 2 3.30000+ 1 7.72071- 5 1.91565- 2 4.30000+ 1 4.45681- 4 1.92071- 2 4.40000+ 1 4.33091- 4 1.92134- 2 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.10000+ 1 4.45507- 3 3.52300- 5 5.00000+ 0 2.20000+ 1 5.63654- 3 6.89400- 5 5.00000+ 0 2.40000+ 1 1.31357- 2 3.72300- 4 5.00000+ 0 2.50000+ 1 1.75635- 2 3.80810- 4 5.00000+ 0 2.70000+ 1 4.75676- 3 4.18370- 4 5.00000+ 0 2.90000+ 1 3.68790- 3 4.71680- 4 5.00000+ 0 3.00000+ 1 3.12590- 3 5.12170- 4 5.00000+ 0 3.20000+ 1 7.77998- 4 5.90680- 4 5.00000+ 0 3.30000+ 1 1.00877- 3 5.96480- 4 6.00000+ 0 1.10000+ 1 3.88805- 2 2.30000- 6 6.00000+ 0 1.30000+ 1 2.12282- 1 5.17300- 4 6.00000+ 0 1.40000+ 1 2.62359- 1 6.64700- 4 6.00000+ 0 1.60000+ 1 1.71143- 2 2.58630- 3 6.00000+ 0 1.80000+ 1 6.69743- 3 2.72740- 3 6.00000+ 0 1.90000+ 1 9.67041- 3 2.90869- 3 6.00000+ 0 2.10000+ 1 3.10667- 2 3.13923- 3 6.00000+ 0 2.20000+ 1 3.62636- 2 3.17294- 3 6.00000+ 0 2.40000+ 1 2.01532- 2 3.47630- 3 6.00000+ 0 2.50000+ 1 2.48370- 2 3.48481- 3 6.00000+ 0 2.70000+ 1 3.89015- 3 3.52237- 3 6.00000+ 0 2.90000+ 1 1.46765- 3 3.57568- 3 6.00000+ 0 3.00000+ 1 2.10452- 3 3.61617- 3 6.00000+ 0 3.20000+ 1 4.96650- 3 3.69468- 3 6.00000+ 0 3.30000+ 1 5.66818- 3 3.70048- 3 8.00000+ 0 8.00000+ 0 5.20524- 3 9.64180- 3 8.00000+ 0 1.00000+ 1 1.08297- 2 9.95490- 3 8.00000+ 0 1.10000+ 1 1.59786- 2 1.06632- 2 8.00000+ 0 1.30000+ 1 1.14857- 2 1.11782- 2 8.00000+ 0 1.40000+ 1 1.42236- 2 1.13256- 2 8.00000+ 0 1.60000+ 1 2.30083- 3 1.32472- 2 8.00000+ 0 1.80000+ 1 2.73222- 3 1.33883- 2 8.00000+ 0 1.90000+ 1 3.99728- 3 1.35696- 2 8.00000+ 0 2.10000+ 1 2.68822- 3 1.38001- 2 8.00000+ 0 2.20000+ 1 3.31041- 3 1.38338- 2 8.00000+ 0 2.40000+ 1 2.42553- 4 1.41372- 2 8.00000+ 0 2.50000+ 1 2.57392- 4 1.41457- 2 8.00000+ 0 2.70000+ 1 5.36894- 4 1.41833- 2 8.00000+ 0 2.90000+ 1 6.06193- 4 1.42366- 2 8.00000+ 0 3.00000+ 1 8.70125- 4 1.42771- 2 8.00000+ 0 3.20000+ 1 4.57167- 4 1.43556- 2 8.00000+ 0 3.30000+ 1 5.55984- 4 1.43614- 2 1.00000+ 1 1.00000+ 1 1.53796- 5 1.02680- 2 1.00000+ 1 1.10000+ 1 2.01004- 4 1.09763- 2 1.00000+ 1 1.30000+ 1 6.94579- 4 1.14913- 2 1.00000+ 1 1.40000+ 1 5.14354- 3 1.16387- 2 1.00000+ 1 1.60000+ 1 1.89224- 3 1.35603- 2 1.00000+ 1 1.80000+ 1 1.94454- 6 1.37014- 2 1.00000+ 1 1.90000+ 1 4.10138- 5 1.38827- 2 1.00000+ 1 2.10000+ 1 1.38066- 4 1.41132- 2 1.00000+ 1 2.20000+ 1 7.69347- 4 1.41469- 2 1.00000+ 1 2.40000+ 1 9.03353- 5 1.44503- 2 1.00000+ 1 2.50000+ 1 3.13080- 4 1.44588- 2 1.00000+ 1 2.70000+ 1 4.14908- 4 1.44964- 2 1.00000+ 1 2.90000+ 1 3.53570- 7 1.45497- 2 1.00000+ 1 3.00000+ 1 8.48545- 6 1.45902- 2 1.00000+ 1 3.20000+ 1 2.31583- 5 1.46687- 2 1.00000+ 1 3.30000+ 1 1.18977- 4 1.46745- 2 1.10000+ 1 1.10000+ 1 6.27748- 4 1.16846- 2 1.10000+ 1 1.30000+ 1 1.51165- 3 1.21996- 2 1.10000+ 1 1.40000+ 1 9.21347- 4 1.23470- 2 1.10000+ 1 1.60000+ 1 2.72420- 3 1.42686- 2 1.10000+ 1 1.80000+ 1 5.12672- 5 1.44097- 2 1.10000+ 1 1.90000+ 1 2.41841- 4 1.45910- 2 1.10000+ 1 2.10000+ 1 1.50435- 4 1.48215- 2 1.10000+ 1 2.20000+ 1 6.80606- 5 1.48552- 2 1.10000+ 1 2.40000+ 1 1.20916- 4 1.51586- 2 1.10000+ 1 2.50000+ 1 1.02886- 4 1.51671- 2 1.10000+ 1 2.70000+ 1 5.93989- 4 1.52047- 2 1.10000+ 1 2.90000+ 1 1.13136- 5 1.52580- 2 1.10000+ 1 3.00000+ 1 4.98522- 5 1.52985- 2 1.10000+ 1 3.20000+ 1 2.15672- 5 1.53770- 2 1.10000+ 1 3.30000+ 1 8.83869- 6 1.53828- 2 1.30000+ 1 1.30000+ 1 6.62028- 4 1.27146- 2 1.30000+ 1 1.40000+ 1 1.87717- 2 1.28620- 2 1.30000+ 1 1.60000+ 1 1.77017- 3 1.47836- 2 1.30000+ 1 1.80000+ 1 2.07366- 4 1.49247- 2 1.30000+ 1 1.90000+ 1 4.18092- 4 1.51060- 2 1.30000+ 1 2.10000+ 1 3.01594- 4 1.53365- 2 1.30000+ 1 2.20000+ 1 3.04644- 3 1.53702- 2 1.30000+ 1 2.40000+ 1 2.46615- 4 1.56736- 2 1.30000+ 1 2.50000+ 1 6.73208- 4 1.56821- 2 1.30000+ 1 2.70000+ 1 3.77433- 4 1.57197- 2 1.30000+ 1 2.90000+ 1 4.77321- 5 1.57730- 2 1.30000+ 1 3.00000+ 1 9.31673- 5 1.58135- 2 1.30000+ 1 3.20000+ 1 5.10910- 5 1.58920- 2 1.30000+ 1 3.30000+ 1 4.76441- 4 1.58978- 2 1.40000+ 1 1.40000+ 1 5.14100- 3 1.30094- 2 1.40000+ 1 1.60000+ 1 2.22607- 3 1.49310- 2 1.40000+ 1 1.80000+ 1 1.14444- 3 1.50721- 2 1.40000+ 1 1.90000+ 1 2.51905- 4 1.52534- 2 1.40000+ 1 2.10000+ 1 2.92673- 3 1.54839- 2 1.40000+ 1 2.20000+ 1 1.76110- 3 1.55176- 2 1.40000+ 1 2.40000+ 1 7.39317- 4 1.58210- 2 1.40000+ 1 2.50000+ 1 5.51728- 4 1.58295- 2 1.40000+ 1 2.70000+ 1 4.77652- 4 1.58671- 2 1.40000+ 1 2.90000+ 1 2.47485- 4 1.59204- 2 1.40000+ 1 3.00000+ 1 5.63918- 5 1.59609- 2 1.40000+ 1 3.20000+ 1 4.59263- 4 1.60394- 2 1.40000+ 1 3.30000+ 1 2.78954- 4 1.60452- 2 1.60000+ 1 1.60000+ 1 2.40076- 4 1.68526- 2 1.60000+ 1 1.80000+ 1 4.78731- 4 1.69937- 2 1.60000+ 1 1.90000+ 1 6.85227- 4 1.71750- 2 1.60000+ 1 2.10000+ 1 4.17043- 4 1.74055- 2 1.60000+ 1 2.20000+ 1 5.17620- 4 1.74392- 2 1.60000+ 1 2.40000+ 1 3.12904- 5 1.77426- 2 1.60000+ 1 2.50000+ 1 3.16444- 5 1.77511- 2 1.60000+ 1 2.70000+ 1 1.10668- 4 1.77887- 2 1.60000+ 1 2.90000+ 1 1.06248- 4 1.78420- 2 1.60000+ 1 3.00000+ 1 1.49208- 4 1.78825- 2 1.60000+ 1 3.20000+ 1 7.10697- 5 1.79610- 2 1.60000+ 1 3.30000+ 1 8.69804- 5 1.79668- 2 1.80000+ 1 1.90000+ 1 1.04295- 5 1.73161- 2 1.80000+ 1 2.10000+ 1 3.71234- 5 1.75466- 2 1.80000+ 1 2.20000+ 1 1.78372- 4 1.75803- 2 1.80000+ 1 2.40000+ 1 1.29045- 5 1.78837- 2 1.80000+ 1 2.50000+ 1 5.05597- 5 1.78922- 2 1.80000+ 1 2.70000+ 1 1.05005- 4 1.79298- 2 1.80000+ 1 3.00000+ 1 2.12141- 6 1.80236- 2 1.80000+ 1 3.20000+ 1 6.01053- 6 1.81021- 2 1.80000+ 1 3.30000+ 1 2.77547- 5 1.81079- 2 1.90000+ 1 1.90000+ 1 2.24516- 5 1.74974- 2 1.90000+ 1 2.10000+ 1 4.47262- 5 1.77279- 2 1.90000+ 1 2.20000+ 1 2.24516- 5 1.77616- 2 1.90000+ 1 2.40000+ 1 2.70475- 5 1.80650- 2 1.90000+ 1 2.50000+ 1 2.24516- 5 1.80735- 2 1.90000+ 1 2.70000+ 1 1.49388- 4 1.81111- 2 1.90000+ 1 2.90000+ 1 2.29826- 6 1.81644- 2 1.90000+ 1 3.00000+ 1 9.19274- 6 1.82049- 2 1.90000+ 1 3.20000+ 1 6.54109- 6 1.82834- 2 1.90000+ 1 3.30000+ 1 3.18214- 6 1.82892- 2 2.10000+ 1 2.10000+ 1 3.16438- 5 1.79585- 2 2.10000+ 1 2.20000+ 1 5.20451- 4 1.79922- 2 2.10000+ 1 2.40000+ 1 3.88926- 5 1.82955- 2 2.10000+ 1 2.50000+ 1 8.00792- 5 1.83040- 2 2.10000+ 1 2.70000+ 1 8.89198- 5 1.83416- 2 2.10000+ 1 2.90000+ 1 8.30871- 6 1.83949- 2 2.10000+ 1 3.00000+ 1 1.02536- 5 1.84354- 2 2.10000+ 1 3.20000+ 1 1.06066- 5 1.85139- 2 2.10000+ 1 3.30000+ 1 8.27361- 5 1.85197- 2 2.20000+ 1 2.20000+ 1 1.61923- 4 1.80259- 2 2.20000+ 1 2.40000+ 1 9.38729- 5 1.83292- 2 2.20000+ 1 2.50000+ 1 7.76036- 5 1.83377- 2 2.20000+ 1 2.70000+ 1 1.11016- 4 1.83753- 2 2.20000+ 1 2.90000+ 1 3.88923- 5 1.84286- 2 2.20000+ 1 3.00000+ 1 5.30346- 6 1.84691- 2 2.20000+ 1 3.20000+ 1 8.30864- 5 1.85476- 2 2.20000+ 1 3.30000+ 1 5.19737- 5 1.85534- 2 2.40000+ 1 2.40000+ 1 1.09757- 6 1.86326- 2 2.40000+ 1 2.50000+ 1 2.10378- 5 1.86411- 2 2.40000+ 1 2.70000+ 1 6.58564- 6 1.86787- 2 2.40000+ 1 2.90000+ 1 2.56104- 6 1.87320- 2 2.40000+ 1 3.00000+ 1 5.85386- 6 1.87725- 2 2.40000+ 1 3.20000+ 1 6.40270- 6 1.88510- 2 2.40000+ 1 3.30000+ 1 1.44515- 5 1.88568- 2 2.50000+ 1 2.50000+ 1 4.67139- 6 1.86496- 2 2.50000+ 1 2.70000+ 1 7.00715- 6 1.86872- 2 2.50000+ 1 2.90000+ 1 1.10946- 5 1.87405- 2 2.50000+ 1 3.00000+ 1 5.25536- 6 1.87810- 2 2.50000+ 1 3.20000+ 1 1.30413- 5 1.88595- 2 2.50000+ 1 3.30000+ 1 1.30413- 5 1.88653- 2 2.70000+ 1 2.70000+ 1 1.57498- 5 1.87247- 2 2.70000+ 1 2.90000+ 1 2.88739- 5 1.87780- 2 2.70000+ 1 3.00000+ 1 4.02486- 5 1.88185- 2 2.70000+ 1 3.20000+ 1 1.88109- 5 1.88970- 2 2.70000+ 1 3.30000+ 1 2.29670- 5 1.89028- 2 2.90000+ 1 3.00000+ 1 6.97332- 7 1.88718- 2 2.90000+ 1 3.20000+ 1 1.85966- 6 1.89504- 2 2.90000+ 1 3.30000+ 1 7.90302- 6 1.89562- 2 3.00000+ 1 3.00000+ 1 1.43256- 6 1.89123- 2 3.00000+ 1 3.20000+ 1 2.29236- 6 1.89908- 2 3.00000+ 1 3.30000+ 1 1.14608- 6 1.89966- 2 3.20000+ 1 3.20000+ 1 9.20217- 7 1.90694- 2 3.20000+ 1 3.30000+ 1 1.38038- 5 1.90752- 2 3.30000+ 1 3.30000+ 1 4.13551- 6 1.90810- 2 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.35220- 5 3.10400- 3 8.00000+ 0 9.93459- 3 1.37649- 2 1.10000+ 1 4.69690- 4 1.47863- 2 1.30000+ 1 3.58640- 1 1.53013- 2 1.60000+ 1 2.64580- 3 1.73703- 2 1.90000+ 1 1.37290- 4 1.76927- 2 2.10000+ 1 7.81020- 2 1.79232- 2 2.40000+ 1 4.23800- 4 1.82603- 2 2.70000+ 1 6.42440- 4 1.83064- 2 3.00000+ 1 3.11920- 5 1.84002- 2 3.20000+ 1 1.34790- 2 1.84787- 2 4.10000+ 1 1.22350- 4 1.85205- 2 4.40000+ 1 4.68570- 6 1.85414- 2 5.80000+ 1 6.08220- 6 1.85553- 2 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.40000+ 1 4.93225- 2 0.00000+ 0 6.00000+ 0 1.60000+ 1 3.99994- 3 1.91430- 3 6.00000+ 0 1.80000+ 1 3.13133- 2 2.05540- 3 6.00000+ 0 1.90000+ 1 7.87829- 3 2.23669- 3 6.00000+ 0 2.10000+ 1 2.91099- 2 2.46723- 3 6.00000+ 0 2.20000+ 1 9.89194- 3 2.50094- 3 6.00000+ 0 2.40000+ 1 1.36202- 3 2.80430- 3 6.00000+ 0 2.50000+ 1 1.98895- 3 2.81281- 3 6.00000+ 0 2.70000+ 1 8.81621- 4 2.85037- 3 6.00000+ 0 2.90000+ 1 6.34453- 3 2.90368- 3 6.00000+ 0 3.00000+ 1 1.66808- 3 2.94417- 3 6.00000+ 0 3.20000+ 1 4.74548- 3 3.02268- 3 6.00000+ 0 3.30000+ 1 1.61337- 3 3.02848- 3 8.00000+ 0 8.00000+ 0 4.46899- 4 8.96980- 3 8.00000+ 0 1.00000+ 1 1.74092- 2 9.28290- 3 8.00000+ 0 1.10000+ 1 1.57164- 3 9.99120- 3 8.00000+ 0 1.30000+ 1 3.07898- 3 1.05062- 2 8.00000+ 0 1.40000+ 1 1.32089- 3 1.06536- 2 8.00000+ 0 1.60000+ 1 1.77183- 4 1.25752- 2 8.00000+ 0 1.80000+ 1 2.89775- 3 1.27163- 2 8.00000+ 0 1.90000+ 1 3.53277- 4 1.28976- 2 8.00000+ 0 2.10000+ 1 5.11004- 4 1.31281- 2 8.00000+ 0 2.20000+ 1 1.86901- 4 1.31618- 2 8.00000+ 0 2.40000+ 1 7.63448- 5 1.34652- 2 8.00000+ 0 2.50000+ 1 5.47387- 5 1.34737- 2 8.00000+ 0 2.70000+ 1 4.03328- 5 1.35113- 2 8.00000+ 0 2.90000+ 1 5.88065- 4 1.35646- 2 8.00000+ 0 3.00000+ 1 7.52635- 5 1.36051- 2 8.00000+ 0 3.20000+ 1 8.17460- 5 1.36836- 2 8.00000+ 0 3.30000+ 1 2.88096- 5 1.36894- 2 1.00000+ 1 1.00000+ 1 1.84694- 2 9.59600- 3 1.00000+ 1 1.10000+ 1 4.37142- 2 1.03043- 2 1.00000+ 1 1.30000+ 1 2.22743- 2 1.08193- 2 1.00000+ 1 1.40000+ 1 2.97027- 2 1.09667- 2 1.00000+ 1 1.60000+ 1 4.63311- 3 1.28883- 2 1.00000+ 1 1.80000+ 1 7.83605- 3 1.30294- 2 1.00000+ 1 1.90000+ 1 1.07387- 2 1.32107- 2 1.00000+ 1 2.10000+ 1 5.20135- 3 1.34412- 2 1.00000+ 1 2.20000+ 1 6.94153- 3 1.34749- 2 1.00000+ 1 2.40000+ 1 4.17360- 4 1.37783- 2 1.00000+ 1 2.50000+ 1 3.47145- 4 1.37868- 2 1.00000+ 1 2.70000+ 1 1.11673- 3 1.38244- 2 1.00000+ 1 2.90000+ 1 1.68566- 3 1.38777- 2 1.00000+ 1 3.00000+ 1 2.32915- 3 1.39182- 2 1.00000+ 1 3.20000+ 1 8.85153- 4 1.39967- 2 1.00000+ 1 3.30000+ 1 1.16749- 3 1.40025- 2 1.10000+ 1 1.10000+ 1 9.36682- 4 1.10126- 2 1.10000+ 1 1.30000+ 1 1.82625- 2 1.15276- 2 1.10000+ 1 1.40000+ 1 2.74725- 3 1.16750- 2 1.10000+ 1 1.60000+ 1 3.48953- 4 1.35966- 2 1.10000+ 1 1.80000+ 1 7.36195- 3 1.37377- 2 1.10000+ 1 1.90000+ 1 3.96851- 4 1.39190- 2 1.10000+ 1 2.10000+ 1 3.61989- 3 1.41495- 2 1.10000+ 1 2.20000+ 1 5.27578- 4 1.41832- 2 1.10000+ 1 2.40000+ 1 1.49086- 4 1.44866- 2 1.10000+ 1 2.50000+ 1 7.59857- 5 1.44951- 2 1.10000+ 1 2.70000+ 1 8.06649- 5 1.45327- 2 1.10000+ 1 2.90000+ 1 1.49629- 3 1.45860- 2 1.10000+ 1 3.00000+ 1 8.31861- 5 1.46265- 2 1.10000+ 1 3.20000+ 1 5.96372- 4 1.47050- 2 1.10000+ 1 3.30000+ 1 8.57073- 5 1.47108- 2 1.30000+ 1 1.30000+ 1 1.73358- 2 1.20426- 2 1.30000+ 1 1.40000+ 1 6.74569- 2 1.21900- 2 1.30000+ 1 1.60000+ 1 8.19642- 4 1.41116- 2 1.30000+ 1 1.80000+ 1 3.60976- 3 1.42527- 2 1.30000+ 1 1.90000+ 1 4.13406- 3 1.44340- 2 1.30000+ 1 2.10000+ 1 6.71142- 3 1.46645- 2 1.30000+ 1 2.20000+ 1 1.41094- 2 1.46982- 2 1.30000+ 1 2.40000+ 1 1.37993- 3 1.50016- 2 1.30000+ 1 2.50000+ 1 2.75986- 3 1.50101- 2 1.30000+ 1 2.70000+ 1 1.98057- 4 1.50477- 2 1.30000+ 1 2.90000+ 1 7.34257- 4 1.51010- 2 1.30000+ 1 3.00000+ 1 8.80830- 4 1.51415- 2 1.30000+ 1 3.20000+ 1 1.10667- 3 1.52200- 2 1.30000+ 1 3.30000+ 1 2.32335- 3 1.52258- 2 1.40000+ 1 1.40000+ 1 3.28898- 3 1.23374- 2 1.40000+ 1 1.60000+ 1 2.83046- 4 1.42590- 2 1.40000+ 1 1.80000+ 1 4.23242- 3 1.44001- 2 1.40000+ 1 1.90000+ 1 5.73657- 4 1.45814- 2 1.40000+ 1 2.10000+ 1 1.07171- 2 1.48119- 2 1.40000+ 1 2.20000+ 1 1.25352- 3 1.48456- 2 1.40000+ 1 2.40000+ 1 5.50588- 4 1.51490- 2 1.40000+ 1 2.50000+ 1 2.09591- 4 1.51575- 2 1.40000+ 1 2.70000+ 1 6.51814- 5 1.51951- 2 1.40000+ 1 2.90000+ 1 8.28260- 4 1.52484- 2 1.40000+ 1 3.00000+ 1 1.19920- 4 1.52889- 2 1.40000+ 1 3.20000+ 1 1.69289- 3 1.53674- 2 1.40000+ 1 3.30000+ 1 2.03823- 4 1.53732- 2 1.60000+ 1 1.60000+ 1 1.69255- 5 1.61806- 2 1.60000+ 1 1.80000+ 1 7.75341- 4 1.63217- 2 1.60000+ 1 1.90000+ 1 7.88674- 5 1.65030- 2 1.60000+ 1 2.10000+ 1 1.32891- 4 1.67335- 2 1.60000+ 1 2.20000+ 1 3.96144- 5 1.67672- 2 1.60000+ 1 2.40000+ 1 1.76454- 5 1.70706- 2 1.60000+ 1 2.50000+ 1 1.00833- 5 1.70791- 2 1.60000+ 1 2.70000+ 1 7.56231- 6 1.71167- 2 1.60000+ 1 2.90000+ 1 1.57374- 4 1.71700- 2 1.60000+ 1 3.00000+ 1 1.69255- 5 1.72105- 2 1.60000+ 1 3.20000+ 1 2.12472- 5 1.72890- 2 1.60000+ 1 3.30000+ 1 6.12220- 6 1.72948- 2 1.80000+ 1 1.80000+ 1 7.89733- 4 1.64628- 2 1.80000+ 1 1.90000+ 1 1.81352- 3 1.66441- 2 1.80000+ 1 2.10000+ 1 8.31172- 4 1.68746- 2 1.80000+ 1 2.20000+ 1 1.00003- 3 1.69083- 2 1.80000+ 1 2.40000+ 1 5.58204- 5 1.72117- 2 1.80000+ 1 2.50000+ 1 3.60123- 5 1.72202- 2 1.80000+ 1 2.70000+ 1 1.86902- 4 1.72578- 2 1.80000+ 1 2.90000+ 1 3.35996- 4 1.73111- 2 1.80000+ 1 3.00000+ 1 3.93602- 4 1.73516- 2 1.80000+ 1 3.20000+ 1 1.41166- 4 1.74301- 2 1.80000+ 1 3.30000+ 1 1.68543- 4 1.74359- 2 1.90000+ 1 1.90000+ 1 4.21343- 5 1.68254- 2 1.90000+ 1 2.10000+ 1 8.25384- 4 1.70559- 2 1.90000+ 1 2.20000+ 1 1.11636- 4 1.70896- 2 1.90000+ 1 2.40000+ 1 2.98903- 5 1.73930- 2 1.90000+ 1 2.50000+ 1 1.40445- 5 1.74015- 2 1.90000+ 1 2.70000+ 1 1.83653- 5 1.74391- 2 1.90000+ 1 2.90000+ 1 3.68764- 4 1.74924- 2 1.90000+ 1 3.00000+ 1 1.76453- 5 1.75329- 2 1.90000+ 1 3.20000+ 1 1.36129- 4 1.76114- 2 1.90000+ 1 3.30000+ 1 1.80058- 5 1.76172- 2 2.10000+ 1 2.10000+ 1 6.44981- 4 1.72865- 2 2.10000+ 1 2.20000+ 1 2.33643- 3 1.73202- 2 2.10000+ 1 2.40000+ 1 1.83652- 4 1.76235- 2 2.10000+ 1 2.50000+ 1 3.69119- 4 1.76320- 2 2.10000+ 1 2.70000+ 1 3.20509- 5 1.76696- 2 2.10000+ 1 2.90000+ 1 1.68176- 4 1.77229- 2 2.10000+ 1 3.00000+ 1 1.76097- 4 1.77634- 2 2.10000+ 1 3.20000+ 1 2.12103- 4 1.78419- 2 2.10000+ 1 3.30000+ 1 3.87488- 4 1.78477- 2 2.20000+ 1 2.20000+ 1 1.20642- 4 1.73539- 2 2.20000+ 1 2.40000+ 1 7.99475- 5 1.76572- 2 2.20000+ 1 2.50000+ 1 3.09695- 5 1.76657- 2 2.20000+ 1 2.70000+ 1 9.00274- 6 1.77033- 2 2.20000+ 1 2.90000+ 1 1.96261- 4 1.77566- 2 2.20000+ 1 3.00000+ 1 2.34076- 5 1.77971- 2 2.20000+ 1 3.20000+ 1 3.71635- 4 1.78756- 2 2.20000+ 1 3.30000+ 1 3.92532- 5 1.78814- 2 2.40000+ 1 2.40000+ 1 4.68152- 6 1.79606- 2 2.40000+ 1 2.50000+ 1 3.13300- 5 1.79691- 2 2.40000+ 1 2.70000+ 1 4.32136- 6 1.80067- 2 2.40000+ 1 2.90000+ 1 1.08042- 5 1.80600- 2 2.40000+ 1 3.00000+ 1 6.12210- 6 1.81005- 2 2.40000+ 1 3.20000+ 1 2.80887- 5 1.81790- 2 2.40000+ 1 3.30000+ 1 1.22441- 5 1.81848- 2 2.50000+ 1 2.50000+ 1 1.80057- 6 1.79776- 2 2.50000+ 1 2.70000+ 1 2.16063- 6 1.80152- 2 2.50000+ 1 2.90000+ 1 6.48191- 6 1.80685- 2 2.50000+ 1 3.00000+ 1 2.88098- 6 1.81090- 2 2.50000+ 1 3.20000+ 1 5.65373- 5 1.81875- 2 2.50000+ 1 3.30000+ 1 4.68154- 6 1.81933- 2 2.70000+ 1 2.70000+ 1 7.20240- 7 1.80527- 2 2.70000+ 1 2.90000+ 1 3.78114- 5 1.81060- 2 2.70000+ 1 3.00000+ 1 3.96137- 6 1.81465- 2 2.70000+ 1 3.20000+ 1 5.04158- 6 1.82250- 2 2.70000+ 1 3.30000+ 1 1.44038- 6 1.82308- 2 2.90000+ 1 2.90000+ 1 3.56518- 5 1.81594- 2 2.90000+ 1 3.00000+ 1 7.99481- 5 1.81998- 2 2.90000+ 1 3.20000+ 1 2.84484- 5 1.82784- 2 2.90000+ 1 3.30000+ 1 3.31315- 5 1.82842- 2 3.00000+ 1 3.00000+ 1 1.80056- 6 1.82403- 2 3.00000+ 1 3.20000+ 1 2.91700- 5 1.83188- 2 3.00000+ 1 3.30000+ 1 3.96137- 6 1.83246- 2 3.20000+ 1 3.20000+ 1 1.71651- 5 1.83974- 2 3.20000+ 1 3.30000+ 1 6.11499- 5 1.84032- 2 3.30000+ 1 3.30000+ 1 3.26690- 6 1.84090- 2 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.90201- 2 1.06609- 2 1.00000+ 1 2.27791- 4 1.09740- 2 1.10000+ 1 2.06361- 4 1.16823- 2 1.30000+ 1 3.23722- 2 1.21973- 2 1.40000+ 1 2.84672- 1 1.23447- 2 1.60000+ 1 4.64402- 3 1.42663- 2 1.80000+ 1 5.12363- 5 1.44074- 2 1.90000+ 1 5.48593- 5 1.45887- 2 2.10000+ 1 6.34933- 3 1.48192- 2 2.20000+ 1 5.78233- 2 1.48529- 2 2.40000+ 1 6.81984- 5 1.51563- 2 2.50000+ 1 3.78132- 4 1.51648- 2 2.70000+ 1 1.11671- 3 1.52024- 2 2.90000+ 1 1.11951- 5 1.52557- 2 3.00000+ 1 1.22201- 5 1.52962- 2 3.20000+ 1 1.07401- 3 1.53747- 2 3.30000+ 1 9.75435- 3 1.53805- 2 4.10000+ 1 2.12241- 4 1.54165- 2 4.30000+ 1 1.78031- 6 1.54311- 2 4.40000+ 1 1.82761- 6 1.54374- 2 5.80000+ 1 1.45241- 5 1.54513- 2 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 5.33532- 4 5.86580- 3 8.00000+ 0 1.00000+ 1 2.45465- 4 6.17890- 3 8.00000+ 0 1.10000+ 1 1.90218- 2 6.88720- 3 8.00000+ 0 1.30000+ 1 2.71480- 3 7.40220- 3 8.00000+ 0 1.40000+ 1 5.12503- 3 7.54960- 3 8.00000+ 0 1.60000+ 1 2.13863- 4 9.47120- 3 8.00000+ 0 1.80000+ 1 4.30027- 5 9.61230- 3 8.00000+ 0 1.90000+ 1 3.08967- 3 9.79359- 3 8.00000+ 0 2.10000+ 1 3.10161- 4 1.00241- 2 8.00000+ 0 2.20000+ 1 5.49141- 4 1.00578- 2 8.00000+ 0 2.40000+ 1 2.88086- 4 1.03612- 2 8.00000+ 0 2.50000+ 1 4.95868- 4 1.03697- 2 8.00000+ 0 2.70000+ 1 4.83309- 5 1.04073- 2 8.00000+ 0 2.90000+ 1 8.75256- 6 1.04606- 2 8.00000+ 0 3.00000+ 1 6.13856- 4 1.05011- 2 8.00000+ 0 3.20000+ 1 4.60474- 5 1.05796- 2 8.00000+ 0 3.30000+ 1 7.87735- 5 1.05854- 2 1.00000+ 1 1.00000+ 1 6.46965- 6 6.49200- 3 1.00000+ 1 1.10000+ 1 3.18937- 2 7.20030- 3 1.00000+ 1 1.30000+ 1 1.39964- 3 7.71530- 3 1.00000+ 1 1.40000+ 1 1.10969- 2 7.86270- 3 1.00000+ 1 1.60000+ 1 5.13733- 5 9.78430- 3 1.00000+ 1 1.80000+ 1 8.75250- 6 9.92540- 3 1.00000+ 1 1.90000+ 1 5.38406- 3 1.01067- 2 1.00000+ 1 2.10000+ 1 2.74756- 4 1.03372- 2 1.00000+ 1 2.20000+ 1 1.81065- 3 1.03709- 2 1.00000+ 1 2.40000+ 1 2.60303- 4 1.06743- 2 1.00000+ 1 2.50000+ 1 6.34397- 4 1.06828- 2 1.00000+ 1 2.70000+ 1 1.21779- 5 1.07204- 2 1.00000+ 1 2.90000+ 1 2.28325- 6 1.07737- 2 1.00000+ 1 3.00000+ 1 1.07849- 3 1.08142- 2 1.00000+ 1 3.20000+ 1 4.64271- 5 1.08927- 2 1.00000+ 1 3.30000+ 1 2.86939- 4 1.08985- 2 1.10000+ 1 1.10000+ 1 3.88325- 2 7.90860- 3 1.10000+ 1 1.30000+ 1 4.07053- 2 8.42360- 3 1.10000+ 1 1.40000+ 1 5.29502- 2 8.57100- 3 1.10000+ 1 1.60000+ 1 4.97455- 3 1.04926- 2 1.10000+ 1 1.80000+ 1 7.49539- 3 1.06337- 2 1.10000+ 1 1.90000+ 1 1.59076- 2 1.08150- 2 1.10000+ 1 2.10000+ 1 8.91644- 3 1.10455- 2 1.10000+ 1 2.20000+ 1 1.14906- 2 1.10792- 2 1.10000+ 1 2.40000+ 1 8.89719- 4 1.13826- 2 1.10000+ 1 2.50000+ 1 1.07501- 3 1.13911- 2 1.10000+ 1 2.70000+ 1 1.19448- 3 1.14287- 2 1.10000+ 1 2.90000+ 1 1.64199- 3 1.14820- 2 1.10000+ 1 3.00000+ 1 3.33847- 3 1.15225- 2 1.10000+ 1 3.20000+ 1 1.50160- 3 1.16010- 2 1.10000+ 1 3.30000+ 1 1.90728- 3 1.16068- 2 1.30000+ 1 1.30000+ 1 5.46248- 3 8.93860- 3 1.30000+ 1 1.40000+ 1 1.01955- 1 9.08600- 3 1.30000+ 1 1.60000+ 1 6.59478- 4 1.10076- 2 1.30000+ 1 1.80000+ 1 3.57343- 4 1.11487- 2 1.30000+ 1 1.90000+ 1 6.22061- 3 1.13300- 2 1.30000+ 1 2.10000+ 1 2.01126- 3 1.15605- 2 1.30000+ 1 2.20000+ 1 1.57086- 2 1.15942- 2 1.30000+ 1 2.40000+ 1 4.82914- 4 1.18976- 2 1.30000+ 1 2.50000+ 1 1.62150- 3 1.19061- 2 1.30000+ 1 2.70000+ 1 1.56789- 4 1.19437- 2 1.30000+ 1 2.90000+ 1 7.91575- 5 1.19970- 2 1.30000+ 1 3.00000+ 1 1.21928- 3 1.20375- 2 1.30000+ 1 3.20000+ 1 3.29552- 4 1.21160- 2 1.30000+ 1 3.30000+ 1 2.44665- 3 1.21218- 2 1.40000+ 1 1.40000+ 1 6.74903- 2 9.23340- 3 1.40000+ 1 1.60000+ 1 1.25582- 3 1.11550- 2 1.40000+ 1 1.80000+ 1 2.35070- 3 1.12961- 2 1.40000+ 1 1.90000+ 1 9.08602- 3 1.14774- 2 1.40000+ 1 2.10000+ 1 1.89311- 2 1.17079- 2 1.40000+ 1 2.20000+ 1 2.38566- 2 1.17416- 2 1.40000+ 1 2.40000+ 1 5.06977- 3 1.20450- 2 1.40000+ 1 2.50000+ 1 4.58354- 3 1.20535- 2 1.40000+ 1 2.70000+ 1 3.01022- 4 1.20911- 2 1.40000+ 1 2.90000+ 1 5.04232- 4 1.21444- 2 1.40000+ 1 3.00000+ 1 1.83999- 3 1.21849- 2 1.40000+ 1 3.20000+ 1 3.09472- 3 1.22634- 2 1.40000+ 1 3.30000+ 1 3.82689- 3 1.22692- 2 1.60000+ 1 1.60000+ 1 2.24527- 5 1.30766- 2 1.60000+ 1 1.80000+ 1 9.89449- 6 1.32177- 2 1.60000+ 1 1.90000+ 1 8.08335- 4 1.33990- 2 1.60000+ 1 2.10000+ 1 8.14387- 5 1.36295- 2 1.60000+ 1 2.20000+ 1 1.43461- 4 1.36632- 2 1.60000+ 1 2.40000+ 1 3.69134- 5 1.39666- 2 1.60000+ 1 2.50000+ 1 7.19243- 5 1.39751- 2 1.60000+ 1 2.70000+ 1 1.02746- 5 1.40127- 2 1.60000+ 1 2.90000+ 1 1.90278- 6 1.40660- 2 1.60000+ 1 3.00000+ 1 1.60601- 4 1.41065- 2 1.60000+ 1 3.20000+ 1 1.21781- 5 1.41850- 2 1.60000+ 1 3.30000+ 1 2.09313- 5 1.41908- 2 1.80000+ 1 1.90000+ 1 1.25702- 3 1.35401- 2 1.80000+ 1 2.10000+ 1 6.50764- 5 1.37706- 2 1.80000+ 1 2.20000+ 1 4.16342- 4 1.38043- 2 1.80000+ 1 2.40000+ 1 3.88174- 5 1.41077- 2 1.80000+ 1 2.50000+ 1 8.90519- 5 1.41162- 2 1.80000+ 1 2.70000+ 1 2.28331- 6 1.41538- 2 1.80000+ 1 3.00000+ 1 2.51167- 4 1.42476- 2 1.80000+ 1 3.20000+ 1 1.06558- 5 1.43261- 2 1.80000+ 1 3.30000+ 1 6.66008- 5 1.43319- 2 1.90000+ 1 1.90000+ 1 1.55755- 3 1.37214- 2 1.90000+ 1 2.10000+ 1 1.36660- 3 1.39519- 2 1.90000+ 1 2.20000+ 1 1.94279- 3 1.39856- 2 1.90000+ 1 2.40000+ 1 1.11889- 4 1.42890- 2 1.90000+ 1 2.50000+ 1 1.42327- 4 1.42975- 2 1.90000+ 1 2.70000+ 1 1.94082- 4 1.43351- 2 1.90000+ 1 2.90000+ 1 2.74762- 4 1.43884- 2 1.90000+ 1 3.00000+ 1 6.47324- 4 1.44289- 2 1.90000+ 1 3.20000+ 1 2.30235- 4 1.45074- 2 1.90000+ 1 3.30000+ 1 3.21579- 4 1.45132- 2 2.10000+ 1 2.10000+ 1 1.77337- 4 1.41825- 2 2.10000+ 1 2.20000+ 1 3.05901- 3 1.42162- 2 2.10000+ 1 2.40000+ 1 5.89895- 5 1.45195- 2 2.10000+ 1 2.50000+ 1 1.86469- 4 1.45280- 2 2.10000+ 1 2.70000+ 1 1.97903- 5 1.45656- 2 2.10000+ 1 2.90000+ 1 1.40807- 5 1.46189- 2 2.10000+ 1 3.00000+ 1 2.67910- 4 1.46594- 2 2.10000+ 1 3.20000+ 1 5.78442- 5 1.47379- 2 2.10000+ 1 3.30000+ 1 4.79891- 4 1.47437- 2 2.20000+ 1 2.20000+ 1 2.12208- 3 1.42499- 2 2.20000+ 1 2.40000+ 1 6.09278- 4 1.45532- 2 2.20000+ 1 2.50000+ 1 5.40779- 4 1.45617- 2 2.20000+ 1 2.70000+ 1 3.46313- 5 1.45993- 2 2.20000+ 1 2.90000+ 1 9.05703- 5 1.46526- 2 2.20000+ 1 3.00000+ 1 3.91974- 4 1.46931- 2 2.20000+ 1 3.20000+ 1 5.03864- 4 1.47716- 2 2.20000+ 1 3.30000+ 1 6.80847- 4 1.47774- 2 2.40000+ 1 2.40000+ 1 2.66392- 6 1.48566- 2 2.40000+ 1 2.50000+ 1 8.02997- 5 1.48651- 2 2.40000+ 1 2.70000+ 1 7.61096- 6 1.49027- 2 2.40000+ 1 2.90000+ 1 7.99157- 6 1.49560- 2 2.40000+ 1 3.00000+ 1 2.13117- 5 1.49965- 2 2.40000+ 1 3.20000+ 1 8.75276- 6 1.50750- 2 2.40000+ 1 3.30000+ 1 9.05706- 5 1.50808- 2 2.50000+ 1 2.50000+ 1 2.85428- 5 1.48736- 2 2.50000+ 1 2.70000+ 1 1.56023- 5 1.49112- 2 2.50000+ 1 2.90000+ 1 1.78869- 5 1.49645- 2 2.50000+ 1 3.00000+ 1 2.74015- 5 1.50050- 2 2.50000+ 1 3.20000+ 1 2.77816- 5 1.50835- 2 2.50000+ 1 3.30000+ 1 7.99159- 5 1.50893- 2 2.70000+ 1 2.70000+ 1 1.24503- 6 1.49487- 2 2.70000+ 1 2.90000+ 1 4.15005- 7 1.50020- 2 2.70000+ 1 3.00000+ 1 4.19161- 5 1.50425- 2 2.70000+ 1 3.20000+ 1 3.32007- 6 1.51210- 2 2.70000+ 1 3.30000+ 1 5.39508- 6 1.51268- 2 2.90000+ 1 3.00000+ 1 6.06591- 5 1.50958- 2 2.90000+ 1 3.20000+ 1 2.52740- 6 1.51744- 2 2.90000+ 1 3.30000+ 1 1.60080- 5 1.51802- 2 3.00000+ 1 3.00000+ 1 7.20305- 5 1.51363- 2 3.00000+ 1 3.20000+ 1 4.87027- 5 1.52148- 2 3.00000+ 1 3.30000+ 1 6.95778- 5 1.52206- 2 3.20000+ 1 3.20000+ 1 4.56665- 6 1.52934- 2 3.20000+ 1 3.30000+ 1 7.91578- 5 1.52992- 2 3.30000+ 1 3.30000+ 1 5.44193- 5 1.53050- 2 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.04000- 5 3.13100- 4 1.10000+ 1 8.22150- 4 1.02140- 3 1.80000+ 1 2.16650- 3 3.74650- 3 1.90000+ 1 1.35890- 3 3.92779- 3 2.90000+ 1 5.36700- 4 4.59478- 3 3.00000+ 1 3.76000- 4 4.63527- 3 4.30000+ 1 8.71820- 5 4.77022- 3 4.40000+ 1 5.82500- 5 4.77648- 3 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 1.33826- 2 1.34000- 5 1.00000+ 1 2.50000+ 1 1.61847- 2 2.19100- 5 1.00000+ 1 2.70000+ 1 1.44737- 2 5.94700- 5 1.00000+ 1 2.90000+ 1 1.46753- 2 1.12780- 4 1.00000+ 1 3.00000+ 1 1.82823- 2 1.53270- 4 1.00000+ 1 3.20000+ 1 9.79199- 3 2.31780- 4 1.00000+ 1 3.30000+ 1 1.29016- 2 2.37580- 4 1.00000+ 1 4.10000+ 1 2.51306- 3 2.73560- 4 1.00000+ 1 4.30000+ 1 2.07784- 3 2.88220- 4 1.00000+ 1 4.40000+ 1 2.39331- 3 2.94480- 4 1.00000+ 1 5.80000+ 1 2.43614- 4 3.08370- 4 1.10000+ 1 1.90000+ 1 4.98420- 2 1.54090- 4 1.10000+ 1 2.10000+ 1 1.32928- 2 3.84630- 4 1.10000+ 1 2.20000+ 1 2.80125- 2 4.18340- 4 1.10000+ 1 2.40000+ 1 2.02467- 1 7.21700- 4 1.10000+ 1 2.50000+ 1 2.46955- 1 7.30210- 4 1.10000+ 1 2.70000+ 1 1.18022- 2 7.67770- 4 1.10000+ 1 2.90000+ 1 1.17824- 2 8.21080- 4 1.10000+ 1 3.00000+ 1 1.05591- 2 8.61570- 4 1.10000+ 1 3.20000+ 1 2.42076- 3 9.40080- 4 1.10000+ 1 3.30000+ 1 4.98579- 3 9.45880- 4 1.10000+ 1 4.10000+ 1 2.10059- 3 9.81860- 4 1.10000+ 1 4.30000+ 1 1.71056- 3 9.96520- 4 1.10000+ 1 4.40000+ 1 1.42458- 3 1.00278- 3 1.10000+ 1 5.80000+ 1 2.05161- 4 1.01667- 3 1.30000+ 1 1.60000+ 1 2.74013- 2 3.46700- 4 1.30000+ 1 1.80000+ 1 5.84368- 3 4.87800- 4 1.30000+ 1 1.90000+ 1 8.78971- 3 6.69090- 4 1.30000+ 1 2.10000+ 1 9.42976- 3 8.99630- 4 1.30000+ 1 2.20000+ 1 1.14128- 2 9.33340- 4 1.30000+ 1 2.40000+ 1 1.02758- 2 1.23670- 3 1.30000+ 1 2.50000+ 1 9.59183- 3 1.24521- 3 1.30000+ 1 2.70000+ 1 4.12070- 3 1.28277- 3 1.30000+ 1 2.90000+ 1 1.01079- 3 1.33608- 3 1.30000+ 1 3.00000+ 1 1.42270- 3 1.37657- 3 1.30000+ 1 3.20000+ 1 1.29490- 3 1.45508- 3 1.30000+ 1 3.30000+ 1 1.68990- 3 1.46088- 3 1.30000+ 1 4.10000+ 1 6.80737- 4 1.49686- 3 1.30000+ 1 4.30000+ 1 1.44794- 4 1.51152- 3 1.30000+ 1 4.40000+ 1 1.85565- 4 1.51778- 3 1.30000+ 1 5.80000+ 1 6.49753- 5 1.53167- 3 1.40000+ 1 1.60000+ 1 3.76693- 2 4.94100- 4 1.40000+ 1 1.80000+ 1 9.26351- 4 6.35200- 4 1.40000+ 1 1.90000+ 1 1.22613- 2 8.16490- 4 1.40000+ 1 2.10000+ 1 1.29788- 2 1.04703- 3 1.40000+ 1 2.20000+ 1 1.79543- 2 1.08074- 3 1.40000+ 1 2.40000+ 1 1.19970- 2 1.38410- 3 1.40000+ 1 2.50000+ 1 1.82315- 2 1.39261- 3 1.40000+ 1 2.70000+ 1 5.58690- 3 1.43017- 3 1.40000+ 1 2.90000+ 1 2.16110- 4 1.48348- 3 1.40000+ 1 3.00000+ 1 1.95789- 3 1.52397- 3 1.40000+ 1 3.20000+ 1 1.96346- 3 1.60248- 3 1.40000+ 1 3.30000+ 1 2.56057- 3 1.60828- 3 1.40000+ 1 4.10000+ 1 9.20159- 4 1.64426- 3 1.40000+ 1 4.30000+ 1 3.32812- 5 1.65892- 3 1.40000+ 1 4.40000+ 1 2.55292- 4 1.66518- 3 1.40000+ 1 5.80000+ 1 8.77370- 5 1.67907- 3 1.60000+ 1 1.60000+ 1 2.25956- 3 2.41570- 3 1.60000+ 1 1.80000+ 1 3.99180- 3 2.55680- 3 1.60000+ 1 1.90000+ 1 6.35394- 3 2.73809- 3 1.60000+ 1 2.10000+ 1 7.56219- 3 2.96863- 3 1.60000+ 1 2.20000+ 1 1.05359- 2 3.00234- 3 1.60000+ 1 2.40000+ 1 5.67643- 3 3.30570- 3 1.60000+ 1 2.50000+ 1 7.06135- 3 3.31421- 3 1.60000+ 1 2.70000+ 1 8.79019- 4 3.35177- 3 1.60000+ 1 2.90000+ 1 8.80720- 4 3.40508- 3 1.60000+ 1 3.00000+ 1 1.37483- 3 3.44557- 3 1.60000+ 1 3.20000+ 1 1.25363- 3 3.52408- 3 1.60000+ 1 3.30000+ 1 1.72651- 3 3.52988- 3 1.60000+ 1 4.10000+ 1 1.54908- 4 3.56586- 3 1.60000+ 1 4.30000+ 1 1.31168- 4 3.58052- 3 1.60000+ 1 4.40000+ 1 1.88045- 4 3.58678- 3 1.60000+ 1 5.80000+ 1 1.49507- 5 3.60067- 3 1.80000+ 1 1.80000+ 1 1.57845- 4 2.69790- 3 1.80000+ 1 1.90000+ 1 4.89999- 4 2.87919- 3 1.80000+ 1 2.10000+ 1 2.42767- 4 3.10973- 3 1.80000+ 1 2.20000+ 1 1.22080- 4 3.14344- 3 1.80000+ 1 2.40000+ 1 2.63573- 5 3.44680- 3 1.80000+ 1 2.50000+ 1 4.82302- 4 3.45531- 3 1.80000+ 1 2.70000+ 1 5.86629- 4 3.49287- 3 1.80000+ 1 2.90000+ 1 5.07105- 5 3.54618- 3 1.80000+ 1 3.00000+ 1 7.50670- 5 3.58667- 3 1.80000+ 1 3.20000+ 1 3.45265- 5 3.66518- 3 1.80000+ 1 3.30000+ 1 2.49699- 5 3.67098- 3 1.80000+ 1 4.10000+ 1 9.67964- 5 3.70696- 3 1.80000+ 1 4.30000+ 1 7.09037- 6 3.72162- 3 1.80000+ 1 4.40000+ 1 9.71090- 6 3.72788- 3 1.80000+ 1 5.80000+ 1 9.24801- 6 3.74177- 3 1.90000+ 1 1.90000+ 1 5.02631- 4 3.06048- 3 1.90000+ 1 2.10000+ 1 6.20266- 4 3.29102- 3 1.90000+ 1 2.20000+ 1 1.40077- 3 3.32473- 3 1.90000+ 1 2.40000+ 1 7.90088- 4 3.62809- 3 1.90000+ 1 2.50000+ 1 1.22525- 3 3.63660- 3 1.90000+ 1 2.70000+ 1 9.38658- 4 3.67416- 3 1.90000+ 1 2.90000+ 1 9.21723- 5 3.72747- 3 1.90000+ 1 3.00000+ 1 1.83112- 4 3.76796- 3 1.90000+ 1 3.20000+ 1 1.01575- 4 3.84647- 3 1.90000+ 1 3.30000+ 1 2.17950- 4 3.85227- 3 1.90000+ 1 4.10000+ 1 1.55364- 4 3.88825- 3 1.90000+ 1 4.30000+ 1 1.34102- 5 3.90291- 3 1.90000+ 1 4.40000+ 1 2.43539- 5 3.90917- 3 1.90000+ 1 5.80000+ 1 1.47966- 5 3.92306- 3 2.10000+ 1 2.10000+ 1 9.57197- 5 3.52156- 3 2.10000+ 1 2.20000+ 1 2.85768- 4 3.55527- 3 2.10000+ 1 2.40000+ 1 4.44983- 4 3.85863- 3 2.10000+ 1 2.50000+ 1 2.76848- 3 3.86714- 3 2.10000+ 1 2.70000+ 1 1.08821- 3 3.90470- 3 2.10000+ 1 2.90000+ 1 3.39106- 5 3.95801- 3 2.10000+ 1 3.00000+ 1 1.02500- 4 3.99850- 3 2.10000+ 1 3.20000+ 1 2.49696- 5 4.07701- 3 2.10000+ 1 3.30000+ 1 3.96131- 5 4.08281- 3 2.10000+ 1 4.10000+ 1 1.78796- 4 4.11879- 3 2.10000+ 1 4.30000+ 1 4.62408- 6 4.13345- 3 2.10000+ 1 4.40000+ 1 1.34103- 5 4.13971- 3 2.10000+ 1 5.80000+ 1 1.71089- 5 4.15360- 3 2.20000+ 1 2.20000+ 1 2.22121- 4 3.58898- 3 2.20000+ 1 2.40000+ 1 2.49018- 3 3.89234- 3 2.20000+ 1 2.50000+ 1 1.56982- 3 3.90085- 3 2.20000+ 1 2.70000+ 1 1.50923- 3 3.93841- 3 2.20000+ 1 2.90000+ 1 1.94213- 5 3.99172- 3 2.20000+ 1 3.00000+ 1 2.28277- 4 4.03221- 3 2.20000+ 1 3.20000+ 1 3.56065- 5 4.11072- 3 2.20000+ 1 3.30000+ 1 5.94951- 5 4.11652- 3 2.20000+ 1 4.10000+ 1 2.47699- 4 4.15250- 3 2.20000+ 1 4.30000+ 1 2.77446- 6 4.16716- 3 2.20000+ 1 4.40000+ 1 2.95944- 5 4.17342- 3 2.20000+ 1 5.80000+ 1 2.35824- 5 4.18731- 3 2.40000+ 1 2.40000+ 1 6.22165- 4 4.19570- 3 2.40000+ 1 2.50000+ 1 4.07943- 3 4.20421- 3 2.40000+ 1 2.70000+ 1 7.48630- 4 4.24177- 3 2.40000+ 1 2.90000+ 1 4.76926- 6 4.29508- 3 2.40000+ 1 3.00000+ 1 9.16958- 5 4.33557- 3 2.40000+ 1 3.20000+ 1 6.63092- 5 4.41408- 3 2.40000+ 1 3.30000+ 1 4.12622- 4 4.41988- 3 2.40000+ 1 4.10000+ 1 1.21235- 4 4.45586- 3 2.40000+ 1 4.30000+ 1 7.69217- 7 4.47052- 3 2.40000+ 1 4.40000+ 1 1.12311- 5 4.47678- 3 2.40000+ 1 5.80000+ 1 1.15388- 5 4.49067- 3 2.50000+ 1 2.50000+ 1 1.40728- 3 4.21272- 3 2.50000+ 1 2.70000+ 1 9.25160- 4 4.25028- 3 2.50000+ 1 2.90000+ 1 9.20269- 5 4.30359- 3 2.50000+ 1 3.00000+ 1 1.52811- 4 4.34408- 3 2.50000+ 1 3.20000+ 1 4.46347- 4 4.42259- 3 2.50000+ 1 3.30000+ 1 2.46064- 4 4.42839- 3 2.50000+ 1 4.10000+ 1 1.49758- 4 4.46437- 3 2.50000+ 1 4.30000+ 1 1.33219- 5 4.47903- 3 2.50000+ 1 4.40000+ 1 1.89869- 5 4.48529- 3 2.50000+ 1 5.80000+ 1 1.42408- 5 4.49918- 3 2.70000+ 1 2.70000+ 1 8.04487- 5 4.28784- 3 2.70000+ 1 2.90000+ 1 1.33341- 4 4.34115- 3 2.70000+ 1 3.00000+ 1 2.07493- 4 4.38164- 3 2.70000+ 1 3.20000+ 1 1.85613- 4 4.46015- 3 2.70000+ 1 3.30000+ 1 2.54248- 4 4.46595- 3 2.70000+ 1 4.10000+ 1 2.78659- 5 4.50193- 3 2.70000+ 1 4.30000+ 1 1.98361- 5 4.51659- 3 2.70000+ 1 4.40000+ 1 2.83371- 5 4.52285- 3 2.70000+ 1 5.80000+ 1 2.67626- 6 4.53674- 3 2.90000+ 1 2.90000+ 1 4.38657- 6 4.39446- 3 2.90000+ 1 3.00000+ 1 1.50149- 5 4.43495- 3 2.90000+ 1 3.20000+ 1 5.23011- 6 4.51346- 3 2.90000+ 1 3.30000+ 1 4.55519- 6 4.51926- 3 2.90000+ 1 4.10000+ 1 2.36191- 5 4.55524- 3 2.90000+ 1 4.30000+ 1 1.18100- 6 4.56990- 3 2.90000+ 1 4.40000+ 1 1.85583- 6 4.57616- 3 2.90000+ 1 5.80000+ 1 2.19329- 6 4.59005- 3 3.00000+ 1 3.00000+ 1 1.75308- 5 4.47544- 3 3.00000+ 1 3.20000+ 1 1.85424- 5 4.55395- 3 3.00000+ 1 3.30000+ 1 3.91079- 5 4.55975- 3 3.00000+ 1 4.10000+ 1 3.67476- 5 4.59573- 3 3.00000+ 1 4.30000+ 1 2.19141- 6 4.61039- 3 3.00000+ 1 4.40000+ 1 4.72000- 6 4.61665- 3 3.00000+ 1 5.80000+ 1 3.53988- 6 4.63054- 3 3.20000+ 1 3.20000+ 1 1.57047- 6 4.63246- 3 3.20000+ 1 3.30000+ 1 5.02566- 6 4.63826- 3 3.20000+ 1 4.10000+ 1 3.04681- 5 4.67424- 3 3.20000+ 1 4.30000+ 1 6.28189- 7 4.68890- 3 3.20000+ 1 4.40000+ 1 2.19864- 6 4.69516- 3 3.20000+ 1 5.80000+ 1 2.82692- 6 4.70905- 3 3.30000+ 1 3.30000+ 1 3.96230- 6 4.64406- 3 3.30000+ 1 4.10000+ 1 4.20007- 5 4.68004- 3 3.30000+ 1 4.30000+ 1 6.33950- 7 4.69470- 3 3.30000+ 1 4.40000+ 1 4.75474- 6 4.70096- 3 3.30000+ 1 5.80000+ 1 3.96230- 6 4.71485- 3 4.10000+ 1 4.10000+ 1 2.31200- 6 4.71602- 3 4.10000+ 1 4.30000+ 1 3.23668- 6 4.73068- 3 4.10000+ 1 4.40000+ 1 4.62392- 6 4.73694- 3 4.10000+ 1 5.80000+ 1 4.62392- 7 4.75083- 3 4.30000+ 1 4.30000+ 1 1.54132- 7 4.74534- 3 4.30000+ 1 4.40000+ 1 3.08274- 7 4.75160- 3 4.30000+ 1 5.80000+ 1 3.08274- 7 4.76549- 3 4.40000+ 1 4.40000+ 1 3.08274- 7 4.75786- 3 4.40000+ 1 5.80000+ 1 4.62406- 7 4.77175- 3 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.46950- 3 1.22330- 3 1.60000+ 1 8.99638- 4 3.29230- 3 2.10000+ 1 4.63839- 3 3.84523- 3 2.70000+ 1 2.21320- 4 4.22837- 3 3.20000+ 1 9.66148- 4 4.40068- 3 4.10000+ 1 4.21799- 5 4.44246- 3 5.80000+ 1 2.86829- 6 4.47727- 3 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 6.36859- 3 7.15300- 5 1.10000+ 1 2.20000+ 1 1.54056- 2 1.05240- 4 1.10000+ 1 2.40000+ 1 2.85685- 2 4.08600- 4 1.10000+ 1 2.50000+ 1 2.43653- 2 4.17110- 4 1.10000+ 1 2.70000+ 1 3.11416- 3 4.54670- 4 1.10000+ 1 2.90000+ 1 4.27478- 3 5.07980- 4 1.10000+ 1 3.00000+ 1 2.14768- 3 5.48470- 4 1.10000+ 1 3.20000+ 1 1.48389- 3 6.26980- 4 1.10000+ 1 3.30000+ 1 2.81069- 3 6.32780- 4 1.10000+ 1 4.10000+ 1 5.28094- 4 6.68760- 4 1.10000+ 1 4.30000+ 1 5.76541- 4 6.83420- 4 1.10000+ 1 4.40000+ 1 2.76242- 4 6.89680- 4 1.10000+ 1 5.80000+ 1 5.07682- 5 7.03570- 4 1.30000+ 1 1.60000+ 1 4.70862- 2 3.36000- 5 1.30000+ 1 1.80000+ 1 4.89942- 2 1.74700- 4 1.30000+ 1 1.90000+ 1 3.78262- 2 3.55990- 4 1.30000+ 1 2.10000+ 1 1.70585- 2 5.86530- 4 1.30000+ 1 2.20000+ 1 2.41660- 2 6.20240- 4 1.30000+ 1 2.40000+ 1 1.47282- 1 9.23600- 4 1.30000+ 1 2.50000+ 1 2.29956- 1 9.32110- 4 1.30000+ 1 2.70000+ 1 1.11364- 2 9.69670- 4 1.30000+ 1 2.90000+ 1 9.00054- 3 1.02298- 3 1.30000+ 1 3.00000+ 1 7.89642- 3 1.06347- 3 1.30000+ 1 3.20000+ 1 3.00390- 3 1.14198- 3 1.30000+ 1 3.30000+ 1 4.31606- 3 1.14778- 3 1.30000+ 1 4.10000+ 1 1.99758- 3 1.18376- 3 1.30000+ 1 4.30000+ 1 1.29849- 3 1.19842- 3 1.30000+ 1 4.40000+ 1 1.06922- 3 1.20468- 3 1.30000+ 1 5.80000+ 1 1.90962- 4 1.21857- 3 1.40000+ 1 1.60000+ 1 7.38130- 3 1.81000- 4 1.40000+ 1 1.80000+ 1 5.55209- 2 3.22100- 4 1.40000+ 1 1.90000+ 1 4.63142- 3 5.03390- 4 1.40000+ 1 2.10000+ 1 1.39163- 3 7.33930- 4 1.40000+ 1 2.20000+ 1 2.68953- 3 7.67640- 4 1.40000+ 1 2.40000+ 1 7.10937- 3 1.07100- 3 1.40000+ 1 2.50000+ 1 4.47654- 3 1.07951- 3 1.40000+ 1 2.70000+ 1 1.15177- 3 1.11707- 3 1.40000+ 1 2.90000+ 1 7.82460- 3 1.17038- 3 1.40000+ 1 3.00000+ 1 8.34533- 4 1.21087- 3 1.40000+ 1 3.20000+ 1 1.03192- 4 1.28938- 3 1.40000+ 1 3.30000+ 1 4.05479- 4 1.29518- 3 1.40000+ 1 4.10000+ 1 1.92446- 4 1.33116- 3 1.40000+ 1 4.30000+ 1 1.07143- 3 1.34582- 3 1.40000+ 1 4.40000+ 1 1.10333- 4 1.35208- 3 1.40000+ 1 5.80000+ 1 1.84158- 5 1.36597- 3 1.60000+ 1 1.60000+ 1 6.09077- 4 2.10260- 3 1.60000+ 1 1.80000+ 1 9.28518- 3 2.24370- 3 1.60000+ 1 1.90000+ 1 1.19258- 3 2.42499- 3 1.60000+ 1 2.10000+ 1 3.46122- 4 2.65553- 3 1.60000+ 1 2.20000+ 1 1.07047- 3 2.68924- 3 1.60000+ 1 2.40000+ 1 5.72442- 5 2.99260- 3 1.60000+ 1 2.50000+ 1 7.87680- 4 3.00111- 3 1.60000+ 1 2.70000+ 1 2.20960- 4 3.03867- 3 1.60000+ 1 2.90000+ 1 1.28075- 3 3.09198- 3 1.60000+ 1 3.00000+ 1 2.32407- 4 3.13247- 3 1.60000+ 1 3.20000+ 1 3.96883- 5 3.21098- 3 1.60000+ 1 3.30000+ 1 1.58369- 4 3.21678- 3 1.60000+ 1 4.10000+ 1 3.81627- 5 3.25276- 3 1.60000+ 1 4.30000+ 1 1.75550- 4 3.26742- 3 1.60000+ 1 4.40000+ 1 3.09124- 5 3.27368- 3 1.60000+ 1 5.80000+ 1 3.81627- 6 3.28757- 3 1.80000+ 1 1.80000+ 1 7.23276- 3 2.38480- 3 1.80000+ 1 1.90000+ 1 1.96469- 2 2.56609- 3 1.80000+ 1 2.10000+ 1 1.99023- 2 2.79663- 3 1.80000+ 1 2.20000+ 1 3.12763- 2 2.83034- 3 1.80000+ 1 2.40000+ 1 1.23094- 2 3.13370- 3 1.80000+ 1 2.50000+ 1 2.02860- 2 3.14221- 3 1.80000+ 1 2.70000+ 1 2.20269- 3 3.17977- 3 1.80000+ 1 2.90000+ 1 2.63675- 3 3.23308- 3 1.80000+ 1 3.00000+ 1 4.21314- 3 3.27357- 3 1.80000+ 1 3.20000+ 1 3.31241- 3 3.35208- 3 1.80000+ 1 3.30000+ 1 5.07521- 3 3.35788- 3 1.80000+ 1 4.10000+ 1 3.99934- 4 3.39386- 3 1.80000+ 1 4.30000+ 1 3.82383- 4 3.40852- 3 1.80000+ 1 4.40000+ 1 5.75107- 4 3.41478- 3 1.80000+ 1 5.80000+ 1 3.85445- 5 3.42867- 3 1.90000+ 1 1.90000+ 1 5.07204- 4 2.74738- 3 1.90000+ 1 2.10000+ 1 1.19910- 3 2.97792- 3 1.90000+ 1 2.20000+ 1 1.09911- 3 3.01163- 3 1.90000+ 1 2.40000+ 1 8.11196- 3 3.31499- 3 1.90000+ 1 2.50000+ 1 2.24452- 3 3.32350- 3 1.90000+ 1 2.70000+ 1 1.79750- 4 3.36106- 3 1.90000+ 1 2.90000+ 1 2.76705- 3 3.41437- 3 1.90000+ 1 3.00000+ 1 1.83562- 4 3.45486- 3 1.90000+ 1 3.20000+ 1 1.56465- 4 3.53337- 3 1.90000+ 1 3.30000+ 1 1.59901- 4 3.53917- 3 1.90000+ 1 4.10000+ 1 2.97685- 5 3.57515- 3 1.90000+ 1 4.30000+ 1 3.80488- 4 3.58981- 3 1.90000+ 1 4.40000+ 1 2.44262- 5 3.59607- 3 1.90000+ 1 5.80000+ 1 2.67135- 6 3.60996- 3 2.10000+ 1 2.10000+ 1 7.23940- 4 3.20846- 3 2.10000+ 1 2.20000+ 1 1.48103- 3 3.24217- 3 2.10000+ 1 2.40000+ 1 8.38825- 4 3.54553- 3 2.10000+ 1 2.50000+ 1 1.27313- 3 3.55404- 3 2.10000+ 1 2.70000+ 1 7.89957- 5 3.59160- 3 2.10000+ 1 2.90000+ 1 2.71882- 3 3.64491- 3 2.10000+ 1 3.00000+ 1 2.36619- 4 3.68540- 3 2.10000+ 1 3.20000+ 1 1.96152- 4 3.76391- 3 2.10000+ 1 3.30000+ 1 2.20960- 4 3.76971- 3 2.10000+ 1 4.10000+ 1 1.45018- 5 3.80569- 3 2.10000+ 1 4.30000+ 1 3.71330- 4 3.82035- 3 2.10000+ 1 4.40000+ 1 3.20569- 5 3.82661- 3 2.10000+ 1 5.80000+ 1 1.52648- 6 3.84050- 3 2.20000+ 1 2.20000+ 1 3.99180- 4 3.27588- 3 2.20000+ 1 2.40000+ 1 2.06511- 3 3.57924- 3 2.20000+ 1 2.50000+ 1 5.03746- 4 3.58775- 3 2.20000+ 1 2.70000+ 1 2.00743- 4 3.62531- 3 2.20000+ 1 2.90000+ 1 4.32673- 3 3.67862- 3 2.20000+ 1 3.00000+ 1 1.80894- 4 3.71911- 3 2.20000+ 1 3.20000+ 1 1.95773- 4 3.79762- 3 2.20000+ 1 3.30000+ 1 1.09527- 4 3.80342- 3 2.20000+ 1 4.10000+ 1 3.47291- 5 3.83940- 3 2.20000+ 1 4.30000+ 1 5.92655- 4 3.85406- 3 2.20000+ 1 4.40000+ 1 2.36619- 5 3.86032- 3 2.20000+ 1 5.80000+ 1 3.43462- 6 3.87421- 3 2.40000+ 1 2.40000+ 1 3.19464- 3 3.88260- 3 2.40000+ 1 2.50000+ 1 2.04015- 2 3.89111- 3 2.40000+ 1 2.70000+ 1 8.39598- 6 3.92867- 3 2.40000+ 1 2.90000+ 1 1.55327- 3 3.98198- 3 2.40000+ 1 3.00000+ 1 1.63490- 3 4.02247- 3 2.40000+ 1 3.20000+ 1 1.53799- 4 4.10098- 3 2.40000+ 1 3.30000+ 1 3.97671- 4 4.10678- 3 2.40000+ 1 4.10000+ 1 1.52649- 6 4.14276- 3 2.40000+ 1 4.30000+ 1 2.10664- 4 4.15742- 3 2.40000+ 1 4.40000+ 1 2.20580- 4 4.16368- 3 2.50000+ 1 2.50000+ 1 1.06588- 3 3.89962- 3 2.50000+ 1 2.70000+ 1 1.52646- 4 3.93718- 3 2.50000+ 1 2.90000+ 1 2.49813- 3 3.99049- 3 2.50000+ 1 3.00000+ 1 4.01834- 4 4.03098- 3 2.50000+ 1 3.20000+ 1 2.22488- 4 4.10949- 3 2.50000+ 1 3.30000+ 1 8.66279- 5 4.11529- 3 2.50000+ 1 4.10000+ 1 2.67125- 5 4.15127- 3 2.50000+ 1 4.30000+ 1 3.35074- 4 4.16593- 3 2.50000+ 1 4.40000+ 1 5.34268- 5 4.17219- 3 2.50000+ 1 5.80000+ 1 2.67125- 6 4.18608- 3 2.70000+ 1 2.70000+ 1 1.98693- 5 3.97474- 3 2.70000+ 1 2.90000+ 1 3.06049- 4 4.02805- 3 2.70000+ 1 3.00000+ 1 3.51524- 5 4.06854- 3 2.70000+ 1 3.20000+ 1 8.40607- 6 4.14705- 3 2.70000+ 1 3.30000+ 1 3.01852- 5 4.15285- 3 2.70000+ 1 4.10000+ 1 6.87753- 6 4.18883- 3 2.70000+ 1 4.30000+ 1 4.20301- 5 4.20349- 3 2.70000+ 1 4.40000+ 1 4.58496- 6 4.20975- 3 2.70000+ 1 5.80000+ 1 7.64181- 7 4.22364- 3 2.90000+ 1 2.90000+ 1 2.25156- 4 4.08136- 3 2.90000+ 1 3.00000+ 1 5.97641- 4 4.12185- 3 2.90000+ 1 3.20000+ 1 4.55269- 4 4.20036- 3 2.90000+ 1 3.30000+ 1 7.06399- 4 4.20616- 3 2.90000+ 1 4.10000+ 1 5.57197- 5 4.24214- 3 2.90000+ 1 4.30000+ 1 6.44977- 5 4.25680- 3 2.90000+ 1 4.40000+ 1 8.16711- 5 4.26306- 3 2.90000+ 1 5.80000+ 1 5.34284- 6 4.27695- 3 3.00000+ 1 3.00000+ 1 1.71898- 5 4.16234- 3 3.00000+ 1 3.20000+ 1 3.27791- 5 4.24085- 3 3.00000+ 1 3.30000+ 1 2.75822- 5 4.24665- 3 3.00000+ 1 4.10000+ 1 5.99623- 6 4.28263- 3 3.00000+ 1 4.30000+ 1 8.63455- 5 4.29729- 3 3.00000+ 1 4.40000+ 1 4.39726- 6 4.30355- 3 3.00000+ 1 5.80000+ 1 3.99747- 7 4.31744- 3 3.20000+ 1 3.20000+ 1 1.29755- 5 4.31936- 3 3.20000+ 1 3.30000+ 1 3.12936- 5 4.32516- 3 3.20000+ 1 4.10000+ 1 1.52650- 6 4.36114- 3 3.20000+ 1 4.30000+ 1 6.22062- 5 4.37580- 3 3.20000+ 1 4.40000+ 1 4.19799- 6 4.38206- 3 3.30000+ 1 3.30000+ 1 8.96374- 6 4.33096- 3 3.30000+ 1 4.10000+ 1 5.97590- 6 4.36694- 3 3.30000+ 1 4.30000+ 1 1.08422- 4 4.38160- 3 3.30000+ 1 4.40000+ 1 3.84164- 6 4.38786- 3 3.30000+ 1 5.80000+ 1 4.26851- 7 4.40175- 3 4.10000+ 1 4.10000+ 1 7.63257- 7 4.40292- 3 4.10000+ 1 4.30000+ 1 7.63257- 6 4.41758- 3 4.10000+ 1 4.40000+ 1 7.63257- 7 4.42384- 3 4.30000+ 1 4.30000+ 1 4.57945- 6 4.43224- 3 4.30000+ 1 4.40000+ 1 1.10673- 5 4.43850- 3 4.30000+ 1 5.80000+ 1 7.63262- 7 4.45239- 3 4.40000+ 1 4.40000+ 1 3.81619- 7 4.44476- 3 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.40970- 5 5.15000- 4 1.40000+ 1 2.88751- 4 6.62400- 4 1.60000+ 1 1.80030- 3 2.58400- 3 2.10000+ 1 8.61062- 4 3.13693- 3 2.20000+ 1 6.53411- 3 3.17064- 3 2.70000+ 1 4.24541- 4 3.52007- 3 3.20000+ 1 1.62600- 4 3.69238- 3 3.30000+ 1 1.25240- 3 3.69818- 3 4.10000+ 1 7.54922- 5 3.73416- 3 5.80000+ 1 6.55791- 6 3.76897- 3 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 1.62080- 2 2.15300- 4 1.30000+ 1 2.50000+ 1 2.36232- 2 2.23810- 4 1.30000+ 1 2.70000+ 1 3.08687- 3 2.61370- 4 1.30000+ 1 2.90000+ 1 2.85756- 3 3.14680- 4 1.30000+ 1 3.00000+ 1 8.73185- 3 3.55170- 4 1.30000+ 1 3.20000+ 1 1.57390- 3 4.33680- 4 1.30000+ 1 3.30000+ 1 1.71427- 3 4.39480- 4 1.30000+ 1 4.10000+ 1 5.35590- 4 4.75460- 4 1.30000+ 1 4.30000+ 1 4.09515- 4 4.90120- 4 1.30000+ 1 4.40000+ 1 1.12691- 3 4.96380- 4 1.30000+ 1 5.80000+ 1 5.14088- 5 5.10270- 4 1.40000+ 1 2.10000+ 1 4.83250- 2 2.56300- 5 1.40000+ 1 2.20000+ 1 6.46410- 2 5.93400- 5 1.40000+ 1 2.40000+ 1 1.91466- 1 3.62700- 4 1.40000+ 1 2.50000+ 1 2.31335- 1 3.71210- 4 1.40000+ 1 2.70000+ 1 1.86909- 2 4.08770- 4 1.40000+ 1 2.90000+ 1 1.91884- 2 4.62080- 4 1.40000+ 1 3.00000+ 1 2.15023- 2 5.02570- 4 1.40000+ 1 3.20000+ 1 6.69099- 3 5.81080- 4 1.40000+ 1 3.30000+ 1 9.67572- 3 5.86880- 4 1.40000+ 1 4.10000+ 1 3.31303- 3 6.22860- 4 1.40000+ 1 4.30000+ 1 2.75851- 3 6.37520- 4 1.40000+ 1 4.40000+ 1 2.84018- 3 6.43780- 4 1.40000+ 1 5.80000+ 1 3.24480- 4 6.57670- 4 1.60000+ 1 1.60000+ 1 1.94285- 4 1.39430- 3 1.60000+ 1 1.80000+ 1 5.15359- 4 1.53540- 3 1.60000+ 1 1.90000+ 1 1.13494- 2 1.71669- 3 1.60000+ 1 2.10000+ 1 6.91358- 4 1.94723- 3 1.60000+ 1 2.20000+ 1 8.76291- 4 1.98094- 3 1.60000+ 1 2.40000+ 1 2.11233- 3 2.28430- 3 1.60000+ 1 2.50000+ 1 3.80764- 3 2.29281- 3 1.60000+ 1 2.70000+ 1 7.31599- 5 2.33037- 3 1.60000+ 1 2.90000+ 1 7.35649- 5 2.38368- 3 1.60000+ 1 3.00000+ 1 1.55506- 3 2.42417- 3 1.60000+ 1 3.20000+ 1 9.87660- 5 2.50268- 3 1.60000+ 1 3.30000+ 1 1.21121- 4 2.50848- 3 1.60000+ 1 4.10000+ 1 1.25996- 5 2.54446- 3 1.60000+ 1 4.30000+ 1 1.01611- 5 2.55912- 3 1.60000+ 1 4.40000+ 1 1.96720- 4 2.56538- 3 1.60000+ 1 5.80000+ 1 1.21931- 6 2.57927- 3 1.80000+ 1 1.80000+ 1 5.69031- 6 1.67650- 3 1.80000+ 1 1.90000+ 1 1.42371- 2 1.85779- 3 1.80000+ 1 2.10000+ 1 3.13797- 4 2.08833- 3 1.80000+ 1 2.20000+ 1 3.14961- 3 2.12204- 3 1.80000+ 1 2.40000+ 1 1.66728- 3 2.42540- 3 1.80000+ 1 2.50000+ 1 8.65930- 3 2.43391- 3 1.80000+ 1 2.70000+ 1 9.18583- 5 2.47147- 3 1.80000+ 1 2.90000+ 1 2.43867- 6 2.52478- 3 1.80000+ 1 3.00000+ 1 1.99903- 3 2.56527- 3 1.80000+ 1 3.20000+ 1 5.08051- 5 2.64378- 3 1.80000+ 1 3.30000+ 1 4.16600- 4 2.64958- 3 1.80000+ 1 4.10000+ 1 1.54451- 5 2.68556- 3 1.80000+ 1 4.30000+ 1 4.06464- 7 2.70022- 3 1.80000+ 1 4.40000+ 1 2.54035- 4 2.70648- 3 1.80000+ 1 5.80000+ 1 1.62578- 6 2.72037- 3 1.90000+ 1 1.90000+ 1 1.82714- 2 2.03908- 3 1.90000+ 1 2.10000+ 1 2.70861- 2 2.26962- 3 1.90000+ 1 2.20000+ 1 3.51971- 2 2.30333- 3 1.90000+ 1 2.40000+ 1 2.49638- 2 2.60669- 3 1.90000+ 1 2.50000+ 1 2.85271- 2 2.61520- 3 1.90000+ 1 2.70000+ 1 2.64882- 3 2.65276- 3 1.90000+ 1 2.90000+ 1 3.05784- 3 2.70607- 3 1.90000+ 1 3.00000+ 1 6.43989- 3 2.74656- 3 1.90000+ 1 3.20000+ 1 4.34645- 3 2.82507- 3 1.90000+ 1 3.30000+ 1 5.63870- 3 2.83087- 3 1.90000+ 1 4.10000+ 1 4.78798- 4 2.86685- 3 1.90000+ 1 4.30000+ 1 4.53193- 4 2.88151- 3 1.90000+ 1 4.40000+ 1 8.54775- 4 2.88777- 3 1.90000+ 1 5.80000+ 1 4.63362- 5 2.90166- 3 2.10000+ 1 2.10000+ 1 1.83726- 4 2.50016- 3 2.10000+ 1 2.20000+ 1 4.45849- 3 2.53387- 3 2.10000+ 1 2.40000+ 1 7.03193- 4 2.83723- 3 2.10000+ 1 2.50000+ 1 8.06571- 3 2.84574- 3 2.10000+ 1 2.70000+ 1 8.65763- 5 2.88330- 3 2.10000+ 1 2.90000+ 1 2.03230- 5 2.93661- 3 2.10000+ 1 3.00000+ 1 3.71813- 3 2.97710- 3 2.10000+ 1 3.20000+ 1 4.83692- 5 3.05561- 3 2.10000+ 1 3.30000+ 1 6.26359- 4 3.06141- 3 2.10000+ 1 4.10000+ 1 1.42260- 5 3.09739- 3 2.10000+ 1 4.30000+ 1 2.43873- 6 3.11205- 3 2.10000+ 1 4.40000+ 1 4.70273- 4 3.11831- 3 2.10000+ 1 5.80000+ 1 1.21937- 6 3.13220- 3 2.20000+ 1 2.20000+ 1 1.92570- 3 2.56758- 3 2.20000+ 1 2.40000+ 1 6.48011- 3 2.87094- 3 2.20000+ 1 2.50000+ 1 5.34655- 3 2.87945- 3 2.20000+ 1 2.70000+ 1 1.16653- 4 2.91701- 3 2.20000+ 1 2.90000+ 1 3.21102- 4 2.97032- 3 2.20000+ 1 3.00000+ 1 4.76768- 3 3.01081- 3 2.20000+ 1 3.20000+ 1 6.19450- 4 3.08932- 3 2.20000+ 1 3.30000+ 1 5.44632- 4 3.09512- 3 2.20000+ 1 4.10000+ 1 1.91042- 5 3.13110- 3 2.20000+ 1 4.30000+ 1 4.18638- 5 3.14576- 3 2.20000+ 1 4.40000+ 1 6.01163- 4 3.15202- 3 2.20000+ 1 5.80000+ 1 2.03228- 6 3.16591- 3 2.40000+ 1 2.40000+ 1 1.08158- 3 3.17430- 3 2.40000+ 1 2.50000+ 1 2.81206- 2 3.18281- 3 2.40000+ 1 2.70000+ 1 2.34534- 4 3.22037- 3 2.40000+ 1 2.90000+ 1 2.92644- 4 3.27368- 3 2.40000+ 1 3.00000+ 1 3.26177- 3 3.31417- 3 2.40000+ 1 3.20000+ 1 1.30879- 4 3.39268- 3 2.40000+ 1 3.30000+ 1 9.75073- 4 3.39848- 3 2.40000+ 1 4.10000+ 1 3.77996- 5 3.43446- 3 2.40000+ 1 4.30000+ 1 4.18638- 5 3.44912- 3 2.40000+ 1 4.40000+ 1 4.09704- 4 3.45538- 3 2.40000+ 1 5.80000+ 1 3.65811- 6 3.46927- 3 2.50000+ 1 2.50000+ 1 1.11648- 2 3.19132- 3 2.50000+ 1 2.70000+ 1 3.86541- 4 3.22888- 3 2.50000+ 1 2.90000+ 1 1.50064- 3 3.28219- 3 2.50000+ 1 3.00000+ 1 3.88784- 3 3.32268- 3 2.50000+ 1 3.20000+ 1 1.28201- 3 3.40119- 3 2.50000+ 1 3.30000+ 1 8.75924- 4 3.40699- 3 2.50000+ 1 4.10000+ 1 6.01575- 5 3.44297- 3 2.50000+ 1 4.30000+ 1 2.14619- 4 3.45763- 3 2.50000+ 1 4.40000+ 1 4.93851- 4 3.46389- 3 2.50000+ 1 5.80000+ 1 5.69052- 6 3.47778- 3 2.70000+ 1 2.70000+ 1 8.03190- 6 3.26644- 3 2.70000+ 1 2.90000+ 1 1.43728- 5 3.31975- 3 2.70000+ 1 3.00000+ 1 3.78778- 4 3.36024- 3 2.70000+ 1 3.20000+ 1 1.39502- 5 3.43875- 3 2.70000+ 1 3.30000+ 1 1.77540- 5 3.44455- 3 2.70000+ 1 4.10000+ 1 2.95921- 6 3.48053- 3 2.70000+ 1 4.30000+ 1 2.11366- 6 3.49519- 3 2.70000+ 1 4.40000+ 1 4.77690- 5 3.50145- 3 2.70000+ 1 5.80000+ 1 4.22746- 7 3.51534- 3 2.90000+ 1 3.00000+ 1 4.40993- 4 3.41355- 3 2.90000+ 1 3.20000+ 1 2.90680- 6 3.49206- 3 2.90000+ 1 3.30000+ 1 4.56780- 5 3.49786- 3 2.90000+ 1 4.10000+ 1 2.49143- 6 3.53384- 3 2.90000+ 1 4.40000+ 1 5.60565- 5 3.55476- 3 2.90000+ 1 5.80000+ 1 4.15259- 7 3.56865- 3 3.00000+ 1 3.00000+ 1 5.71066- 4 3.45404- 3 3.00000+ 1 3.20000+ 1 6.35257- 4 3.53255- 3 3.00000+ 1 3.30000+ 1 8.12266- 4 3.53835- 3 3.00000+ 1 4.10000+ 1 6.97699- 5 3.57433- 3 3.00000+ 1 4.30000+ 1 6.80476- 5 3.58899- 3 3.00000+ 1 4.40000+ 1 1.50307- 4 3.59525- 3 3.00000+ 1 5.80000+ 1 6.89096- 6 3.60914- 3 3.20000+ 1 3.20000+ 1 3.25171- 6 3.61106- 3 3.20000+ 1 3.30000+ 1 9.34853- 5 3.61686- 3 3.20000+ 1 4.10000+ 1 2.03228- 6 3.65284- 3 3.20000+ 1 4.30000+ 1 4.06470- 7 3.66750- 3 3.20000+ 1 4.40000+ 1 7.60082- 5 3.67376- 3 3.20000+ 1 5.80000+ 1 4.06470- 7 3.68765- 3 3.30000+ 1 3.30000+ 1 4.06485- 5 3.62266- 3 3.30000+ 1 4.10000+ 1 2.84539- 6 3.65864- 3 3.30000+ 1 4.30000+ 1 5.69060- 6 3.67330- 3 3.30000+ 1 4.40000+ 1 9.67393- 5 3.67956- 3 3.30000+ 1 5.80000+ 1 4.06485- 7 3.69345- 3 4.10000+ 1 4.10000+ 1 4.06469- 7 3.69462- 3 4.10000+ 1 4.30000+ 1 4.06469- 7 3.70928- 3 4.10000+ 1 4.40000+ 1 8.53548- 6 3.71554- 3 4.30000+ 1 4.40000+ 1 8.12912- 6 3.73020- 3 4.40000+ 1 4.40000+ 1 9.34815- 6 3.73646- 3 4.40000+ 1 5.80000+ 1 8.12876- 7 3.75035- 3 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.15489- 3 2.21010- 3 1.90000+ 1 2.03609- 4 2.39139- 3 2.40000+ 1 4.50269- 2 2.95900- 3 2.90000+ 1 5.22178- 4 3.05838- 3 3.00000+ 1 4.85959- 5 3.09887- 3 4.30000+ 1 6.65138- 5 3.23382- 3 4.40000+ 1 5.90818- 6 3.24008- 3 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.20000+ 1 5.02772- 2 6.60800- 5 1.40000+ 1 3.30000+ 1 7.24449- 3 7.18800- 5 1.40000+ 1 4.10000+ 1 9.72613- 4 1.07860- 4 1.40000+ 1 4.30000+ 1 4.84148- 4 1.22520- 4 1.40000+ 1 4.40000+ 1 9.99725- 4 1.28780- 4 1.40000+ 1 5.80000+ 1 9.15936- 5 1.42670- 4 1.60000+ 1 1.60000+ 1 1.39574- 5 8.79300- 4 1.60000+ 1 1.80000+ 1 9.30786- 4 1.02040- 3 1.60000+ 1 1.90000+ 1 7.97327- 4 1.20169- 3 1.60000+ 1 2.10000+ 1 3.06579- 2 1.43223- 3 1.60000+ 1 2.20000+ 1 3.55393- 3 1.46594- 3 1.60000+ 1 2.40000+ 1 1.58854- 2 1.76930- 3 1.60000+ 1 2.50000+ 1 3.93257- 3 1.77781- 3 1.60000+ 1 2.70000+ 1 1.74461- 5 1.81537- 3 1.60000+ 1 2.90000+ 1 1.66608- 4 1.86868- 3 1.60000+ 1 3.00000+ 1 1.12531- 4 1.90917- 3 1.60000+ 1 3.20000+ 1 3.43699- 3 1.98768- 3 1.60000+ 1 3.30000+ 1 4.21343- 4 1.99348- 3 1.60000+ 1 4.10000+ 1 3.48921- 6 2.02946- 3 1.60000+ 1 4.30000+ 1 2.35526- 5 2.04412- 3 1.60000+ 1 4.40000+ 1 1.39574- 5 2.05038- 3 1.80000+ 1 1.80000+ 1 5.04206- 4 1.16150- 3 1.80000+ 1 1.90000+ 1 3.78571- 3 1.34279- 3 1.80000+ 1 2.10000+ 1 2.77240- 2 1.57333- 3 1.80000+ 1 2.20000+ 1 1.74290- 3 1.60704- 3 1.80000+ 1 2.40000+ 1 1.10634- 2 1.91040- 3 1.80000+ 1 2.50000+ 1 5.75289- 3 1.91891- 3 1.80000+ 1 2.70000+ 1 1.30846- 4 1.95647- 3 1.80000+ 1 2.90000+ 1 1.78827- 4 2.00978- 3 1.80000+ 1 3.00000+ 1 5.96662- 4 2.05027- 3 1.80000+ 1 3.20000+ 1 3.07757- 3 2.12878- 3 1.80000+ 1 3.30000+ 1 2.36408- 4 2.13458- 3 1.80000+ 1 4.10000+ 1 2.18081- 5 2.17056- 3 1.80000+ 1 4.30000+ 1 2.52967- 5 2.18522- 3 1.80000+ 1 4.40000+ 1 7.76382- 5 2.19148- 3 1.80000+ 1 5.80000+ 1 1.74459- 6 2.20537- 3 1.90000+ 1 1.90000+ 1 1.32775- 3 1.52408- 3 1.90000+ 1 2.10000+ 1 5.41911- 2 1.75462- 3 1.90000+ 1 2.20000+ 1 2.06221- 3 1.78833- 3 1.90000+ 1 2.40000+ 1 2.52544- 3 2.09169- 3 1.90000+ 1 2.50000+ 1 1.84936- 3 2.10020- 3 1.90000+ 1 2.70000+ 1 1.41312- 4 2.13776- 3 1.90000+ 1 2.90000+ 1 5.12068- 4 2.19107- 3 1.90000+ 1 3.00000+ 1 3.99546- 4 2.23156- 3 1.90000+ 1 3.20000+ 1 6.08725- 3 2.31007- 3 1.90000+ 1 3.30000+ 1 2.56466- 4 2.31587- 3 1.90000+ 1 4.10000+ 1 2.44254- 5 2.35185- 3 1.90000+ 1 4.30000+ 1 6.97887- 5 2.36651- 3 1.90000+ 1 4.40000+ 1 5.14669- 5 2.37277- 3 1.90000+ 1 5.80000+ 1 2.61708- 6 2.38666- 3 2.10000+ 1 2.10000+ 1 4.96586- 2 1.98516- 3 2.10000+ 1 2.20000+ 1 9.77365- 2 2.01887- 3 2.10000+ 1 2.40000+ 1 5.71471- 2 2.32223- 3 2.10000+ 1 2.50000+ 1 6.80854- 2 2.33074- 3 2.10000+ 1 2.70000+ 1 6.54338- 3 2.36830- 3 2.10000+ 1 2.90000+ 1 6.00877- 3 2.42161- 3 2.10000+ 1 3.00000+ 1 1.12918- 2 2.46210- 3 2.10000+ 1 3.20000+ 1 1.36596- 2 2.54061- 3 2.10000+ 1 3.30000+ 1 1.54714- 2 2.54641- 3 2.10000+ 1 4.10000+ 1 1.16889- 3 2.58239- 3 2.10000+ 1 4.30000+ 1 8.91502- 4 2.59705- 3 2.10000+ 1 4.40000+ 1 1.53354- 3 2.60331- 3 2.10000+ 1 5.80000+ 1 1.12531- 4 2.61720- 3 2.20000+ 1 2.20000+ 1 1.54665- 3 2.05258- 3 2.20000+ 1 2.40000+ 1 6.62195- 2 2.35594- 3 2.20000+ 1 2.50000+ 1 3.20063- 3 2.36445- 3 2.20000+ 1 2.70000+ 1 3.89934- 4 2.40201- 3 2.20000+ 1 2.90000+ 1 2.24200- 4 2.45532- 3 2.20000+ 1 3.00000+ 1 3.44564- 4 2.49581- 3 2.20000+ 1 3.20000+ 1 1.10228- 2 2.57432- 3 2.20000+ 1 3.30000+ 1 4.00408- 4 2.58012- 3 2.20000+ 1 4.10000+ 1 6.19377- 5 2.61610- 3 2.20000+ 1 4.30000+ 1 3.05320- 5 2.63076- 3 2.20000+ 1 4.40000+ 1 4.44885- 5 2.63702- 3 2.20000+ 1 5.80000+ 1 6.10620- 6 2.65091- 3 2.40000+ 1 2.40000+ 1 6.45782- 2 2.65930- 3 2.40000+ 1 2.50000+ 1 1.85769- 1 2.66781- 3 2.40000+ 1 2.70000+ 1 3.59763- 3 2.70537- 3 2.40000+ 1 2.90000+ 1 1.93741- 3 2.75868- 3 2.40000+ 1 3.00000+ 1 5.44320- 4 2.79917- 3 2.40000+ 1 3.20000+ 1 7.02231- 3 2.87768- 3 2.40000+ 1 3.30000+ 1 9.98234- 3 2.88348- 3 2.40000+ 1 4.10000+ 1 6.47261- 4 2.91946- 3 2.40000+ 1 4.30000+ 1 2.81771- 4 2.93412- 3 2.40000+ 1 4.40000+ 1 7.41475- 5 2.94038- 3 2.40000+ 1 5.80000+ 1 6.45524- 5 2.95427- 3 2.50000+ 1 2.50000+ 1 4.07050- 3 2.67632- 3 2.50000+ 1 2.70000+ 1 6.59706- 4 2.71388- 3 2.50000+ 1 2.90000+ 1 5.50520- 4 2.76719- 3 2.50000+ 1 3.00000+ 1 3.67921- 4 2.80768- 3 2.50000+ 1 3.20000+ 1 7.39561- 3 2.88619- 3 2.50000+ 1 3.30000+ 1 4.74382- 4 2.89199- 3 2.50000+ 1 4.10000+ 1 1.10105- 4 2.92797- 3 2.50000+ 1 4.30000+ 1 7.15689- 5 2.94263- 3 2.50000+ 1 4.40000+ 1 4.86318- 5 2.94889- 3 2.50000+ 1 5.80000+ 1 1.10105- 5 2.96278- 3 2.70000+ 1 2.70000+ 1 1.77440- 6 2.75144- 3 2.70000+ 1 2.90000+ 1 2.66175- 5 2.80475- 3 2.70000+ 1 3.00000+ 1 2.12932- 5 2.84524- 3 2.70000+ 1 3.20000+ 1 7.51469- 4 2.92375- 3 2.70000+ 1 3.30000+ 1 5.23453- 5 2.92955- 3 2.70000+ 1 4.10000+ 1 8.87237- 7 2.96553- 3 2.70000+ 1 4.30000+ 1 3.54879- 6 2.98019- 3 2.70000+ 1 4.40000+ 1 2.66175- 6 2.98645- 3 2.90000+ 1 2.90000+ 1 1.85722- 5 2.85806- 3 2.90000+ 1 3.00000+ 1 9.28652- 5 2.89855- 3 2.90000+ 1 3.20000+ 1 7.14119- 4 2.97706- 3 2.90000+ 1 3.30000+ 1 3.71444- 5 2.98286- 3 2.90000+ 1 4.10000+ 1 4.64310- 6 3.01884- 3 2.90000+ 1 4.30000+ 1 5.57166- 6 3.03350- 3 2.90000+ 1 4.40000+ 1 1.20715- 5 3.03976- 3 3.00000+ 1 3.00000+ 1 3.47632- 5 2.93904- 3 3.00000+ 1 3.20000+ 1 1.41274- 3 3.01755- 3 3.00000+ 1 3.30000+ 1 5.02160- 5 3.02335- 3 3.00000+ 1 4.10000+ 1 3.86250- 6 3.05933- 3 3.00000+ 1 4.30000+ 1 1.35197- 5 3.07399- 3 3.00000+ 1 4.40000+ 1 8.69102- 6 3.08025- 3 3.20000+ 1 3.20000+ 1 9.05471- 4 3.09606- 3 3.20000+ 1 3.30000+ 1 1.75589- 3 3.10186- 3 3.20000+ 1 4.10000+ 1 1.31718- 4 3.13784- 3 3.20000+ 1 4.30000+ 1 9.94437- 5 3.15250- 3 3.20000+ 1 4.40000+ 1 1.73583- 4 3.15876- 3 3.20000+ 1 5.80000+ 1 1.30845- 5 3.17265- 3 3.30000+ 1 3.30000+ 1 5.67234- 5 3.10766- 3 3.30000+ 1 4.10000+ 1 1.70168- 5 3.14364- 3 3.30000+ 1 4.30000+ 1 1.13440- 5 3.15830- 3 3.30000+ 1 4.40000+ 1 1.32348- 5 3.16456- 3 3.30000+ 1 5.80000+ 1 1.89075- 6 3.17845- 3 4.10000+ 1 4.30000+ 1 8.11548- 7 3.19428- 3 4.10000+ 1 4.40000+ 1 8.11548- 7 3.20054- 3 4.30000+ 1 4.40000+ 1 2.04689- 6 3.21520- 3 4.40000+ 1 4.40000+ 1 8.72337- 7 3.22146- 3 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.52420- 3 2.24399- 3 2.40000+ 1 2.18160- 3 2.81160- 3 2.50000+ 1 4.26990- 2 2.82011- 3 3.00000+ 1 3.56630- 4 2.95147- 3 4.40000+ 1 4.40200- 5 3.09268- 3 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 3.50746- 6 7.31900- 4 1.60000+ 1 1.80000+ 1 2.42027- 4 8.73000- 4 1.60000+ 1 1.90000+ 1 1.74153- 3 1.05429- 3 1.60000+ 1 2.10000+ 1 3.19977- 3 1.28483- 3 1.60000+ 1 2.20000+ 1 3.35540- 2 1.31854- 3 1.60000+ 1 2.40000+ 1 4.20396- 3 1.62190- 3 1.60000+ 1 2.50000+ 1 1.66427- 2 1.63041- 3 1.60000+ 1 2.70000+ 1 1.22764- 5 1.66797- 3 1.60000+ 1 2.90000+ 1 1.66615- 5 1.72128- 3 1.60000+ 1 3.00000+ 1 2.52540- 4 1.76177- 3 1.60000+ 1 3.20000+ 1 3.52521- 4 1.84028- 3 1.60000+ 1 3.30000+ 1 3.73470- 3 1.84608- 3 1.60000+ 1 4.10000+ 1 2.63074- 6 1.88206- 3 1.60000+ 1 4.30000+ 1 1.75383- 6 1.89672- 3 1.60000+ 1 4.40000+ 1 3.24461- 5 1.90298- 3 1.80000+ 1 1.80000+ 1 2.63075- 6 1.01410- 3 1.80000+ 1 1.90000+ 1 5.02018- 3 1.19539- 3 1.80000+ 1 2.10000+ 1 2.44656- 4 1.42593- 3 1.80000+ 1 2.20000+ 1 3.46660- 2 1.45964- 3 1.80000+ 1 2.40000+ 1 2.26415- 3 1.76300- 3 1.80000+ 1 2.50000+ 1 9.53670- 3 1.77151- 3 1.80000+ 1 2.70000+ 1 3.15694- 5 1.80907- 3 1.80000+ 1 2.90000+ 1 1.75383- 6 1.86238- 3 1.80000+ 1 3.00000+ 1 7.28701- 4 1.90287- 3 1.80000+ 1 3.20000+ 1 7.01544- 6 1.98138- 3 1.80000+ 1 3.30000+ 1 3.85651- 3 1.98718- 3 1.80000+ 1 4.10000+ 1 5.26131- 6 2.02316- 3 1.80000+ 1 4.40000+ 1 9.29508- 5 2.04408- 3 1.80000+ 1 5.80000+ 1 8.76908- 7 2.05797- 3 1.90000+ 1 1.90000+ 1 3.22516- 3 1.37668- 3 1.90000+ 1 2.10000+ 1 3.16565- 3 1.60722- 3 1.90000+ 1 2.20000+ 1 5.09979- 2 1.64093- 3 1.90000+ 1 2.40000+ 1 2.10713- 3 1.94429- 3 1.90000+ 1 2.50000+ 1 3.64185- 3 1.95280- 3 1.90000+ 1 2.70000+ 1 3.22715- 4 1.99036- 3 1.90000+ 1 2.90000+ 1 6.38369- 4 2.04367- 3 1.90000+ 1 3.00000+ 1 9.63763- 4 2.08416- 3 1.90000+ 1 3.20000+ 1 4.35828- 4 2.16267- 3 1.90000+ 1 3.30000+ 1 5.64386- 3 2.16847- 3 1.90000+ 1 4.10000+ 1 5.61221- 5 2.20445- 3 1.90000+ 1 4.30000+ 1 8.68145- 5 2.21911- 3 1.90000+ 1 4.40000+ 1 1.24519- 4 2.22537- 3 1.90000+ 1 5.80000+ 1 5.26128- 6 2.23926- 3 2.10000+ 1 2.10000+ 1 6.90970- 4 1.83776- 3 2.10000+ 1 2.20000+ 1 7.18612- 2 1.87147- 3 2.10000+ 1 2.40000+ 1 2.88573- 3 2.17483- 3 2.10000+ 1 2.50000+ 1 3.98239- 2 2.18334- 3 2.10000+ 1 2.70000+ 1 3.28821- 4 2.22090- 3 2.10000+ 1 2.90000+ 1 6.13784- 5 2.27421- 3 2.10000+ 1 3.00000+ 1 4.77893- 4 2.31470- 3 2.10000+ 1 3.20000+ 1 1.73620- 4 2.39321- 3 2.10000+ 1 3.30000+ 1 8.05843- 3 2.39901- 3 2.10000+ 1 4.10000+ 1 5.17339- 5 2.43499- 3 2.10000+ 1 4.30000+ 1 8.76868- 6 2.44965- 3 2.10000+ 1 4.40000+ 1 6.22582- 5 2.45591- 3 2.10000+ 1 5.80000+ 1 5.26107- 6 2.46980- 3 2.20000+ 1 2.20000+ 1 7.97361- 2 1.90518- 3 2.20000+ 1 2.40000+ 1 6.27143- 2 2.20854- 3 2.20000+ 1 2.50000+ 1 1.00696- 1 2.21705- 3 2.20000+ 1 2.70000+ 1 6.83017- 3 2.25461- 3 2.20000+ 1 2.90000+ 1 7.16789- 3 2.30792- 3 2.20000+ 1 3.00000+ 1 1.07233- 2 2.34841- 3 2.20000+ 1 3.20000+ 1 1.13790- 2 2.42692- 3 2.20000+ 1 3.30000+ 1 2.15676- 2 2.43272- 3 2.20000+ 1 4.10000+ 1 1.21367- 3 2.46870- 3 2.20000+ 1 4.30000+ 1 1.05487- 3 2.48336- 3 2.20000+ 1 4.40000+ 1 1.45917- 3 2.48962- 3 2.20000+ 1 5.80000+ 1 1.17509- 4 2.50351- 3 2.40000+ 1 2.40000+ 1 5.32635- 3 2.51190- 3 2.40000+ 1 2.50000+ 1 1.69490- 1 2.52041- 3 2.40000+ 1 2.70000+ 1 7.35729- 4 2.55797- 3 2.40000+ 1 2.90000+ 1 4.33179- 4 2.61128- 3 2.40000+ 1 3.00000+ 1 3.72694- 4 2.65177- 3 2.40000+ 1 3.20000+ 1 4.41946- 4 2.73028- 3 2.40000+ 1 3.30000+ 1 6.63987- 3 2.73608- 3 2.40000+ 1 4.10000+ 1 1.25392- 4 2.77206- 3 2.40000+ 1 4.30000+ 1 6.31374- 5 2.78672- 3 2.40000+ 1 4.40000+ 1 4.91064- 5 2.79298- 3 2.40000+ 1 5.80000+ 1 1.22763- 5 2.80687- 3 2.50000+ 1 2.50000+ 1 1.15829- 1 2.52892- 3 2.50000+ 1 2.70000+ 1 3.70151- 3 2.56648- 3 2.50000+ 1 2.90000+ 1 2.00811- 3 2.61979- 3 2.50000+ 1 3.00000+ 1 7.36584- 4 2.66028- 3 2.50000+ 1 3.20000+ 1 5.88828- 3 2.73879- 3 2.50000+ 1 3.30000+ 1 1.26690- 2 2.74459- 3 2.50000+ 1 4.10000+ 1 6.64695- 4 2.78057- 3 2.50000+ 1 4.30000+ 1 2.97261- 4 2.79523- 3 2.50000+ 1 4.40000+ 1 9.99694- 5 2.80149- 3 2.50000+ 1 5.80000+ 1 6.57663- 5 2.81538- 3 2.70000+ 1 2.70000+ 1 9.30887- 7 2.60404- 3 2.70000+ 1 2.90000+ 1 1.86179- 6 2.65735- 3 2.70000+ 1 3.00000+ 1 5.21295- 5 2.69784- 3 2.70000+ 1 3.20000+ 1 4.37514- 5 2.77635- 3 2.70000+ 1 3.30000+ 1 8.13590- 4 2.78215- 3 2.70000+ 1 4.40000+ 1 6.51596- 6 2.83905- 3 2.90000+ 1 3.00000+ 1 1.02839- 4 2.75115- 3 2.90000+ 1 3.20000+ 1 3.64009- 6 2.82966- 3 2.90000+ 1 3.30000+ 1 8.39070- 4 2.83546- 3 2.90000+ 1 4.40000+ 1 1.36506- 5 2.89236- 3 3.00000+ 1 3.00000+ 1 7.88058- 5 2.79164- 3 3.00000+ 1 3.20000+ 1 7.59598- 5 2.87015- 3 3.00000+ 1 3.30000+ 1 1.29036- 3 2.87595- 3 3.00000+ 1 4.10000+ 1 9.49474- 6 2.91193- 3 3.00000+ 1 4.30000+ 1 1.51911- 5 2.92659- 3 3.00000+ 1 4.40000+ 1 1.99391- 5 2.93285- 3 3.00000+ 1 5.80000+ 1 9.49474- 7 2.94674- 3 3.20000+ 1 3.20000+ 1 1.05223- 5 2.94866- 3 3.20000+ 1 3.30000+ 1 1.28372- 3 2.95446- 3 3.20000+ 1 4.10000+ 1 6.13782- 6 2.99044- 3 3.20000+ 1 4.30000+ 1 8.76865- 7 3.00510- 3 3.20000+ 1 4.40000+ 1 8.76865- 6 3.01136- 3 3.20000+ 1 5.80000+ 1 8.76865- 7 3.02525- 3 3.30000+ 1 3.30000+ 1 1.41094- 3 2.96026- 3 3.30000+ 1 4.10000+ 1 1.35926- 4 2.99624- 3 3.30000+ 1 4.30000+ 1 1.19252- 4 3.01090- 3 3.30000+ 1 4.40000+ 1 1.62230- 4 3.01716- 3 3.30000+ 1 5.80000+ 1 1.31532- 5 3.03105- 3 4.10000+ 1 4.40000+ 1 1.97860- 6 3.05314- 3 4.30000+ 1 4.40000+ 1 2.78790- 6 3.06780- 3 4.40000+ 1 4.40000+ 1 1.99020- 6 3.07406- 3 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.60634- 5 1.41100- 4 1.90000+ 1 3.93419- 4 3.22390- 4 2.90000+ 1 2.71174- 4 9.89380- 4 3.00000+ 1 7.88150- 5 1.02987- 3 4.30000+ 1 4.91513- 5 1.16482- 3 4.40000+ 1 1.61875- 5 1.17108- 3 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.20000+ 1 6.55898- 2 5.97800- 5 1.80000+ 1 3.30000+ 1 1.03803- 1 6.55800- 5 1.80000+ 1 4.10000+ 1 8.62401- 3 1.01560- 4 1.80000+ 1 4.30000+ 1 6.58631- 3 1.16220- 4 1.80000+ 1 4.40000+ 1 9.46307- 3 1.22480- 4 1.80000+ 1 5.80000+ 1 8.16219- 4 1.36370- 4 1.90000+ 1 2.40000+ 1 1.70593- 2 2.26900- 5 1.90000+ 1 2.50000+ 1 3.89223- 2 3.12000- 5 1.90000+ 1 2.70000+ 1 4.20332- 2 6.87600- 5 1.90000+ 1 2.90000+ 1 4.99517- 2 1.22070- 4 1.90000+ 1 3.00000+ 1 4.77858- 2 1.62560- 4 1.90000+ 1 3.20000+ 1 4.24246- 2 2.41070- 4 1.90000+ 1 3.30000+ 1 5.26464- 2 2.46870- 4 1.90000+ 1 4.10000+ 1 7.43840- 3 2.82850- 4 1.90000+ 1 4.30000+ 1 6.99798- 3 2.97510- 4 1.90000+ 1 4.40000+ 1 6.47303- 3 3.03770- 4 1.90000+ 1 5.80000+ 1 7.10473- 4 3.17660- 4 2.10000+ 1 2.40000+ 1 4.21635- 3 2.53230- 4 2.10000+ 1 2.50000+ 1 5.92319- 3 2.61740- 4 2.10000+ 1 2.70000+ 1 1.80233- 2 2.99300- 4 2.10000+ 1 2.90000+ 1 6.10933- 3 3.52610- 4 2.10000+ 1 3.00000+ 1 6.96574- 3 3.93100- 4 2.10000+ 1 3.20000+ 1 2.13264- 3 4.71610- 4 2.10000+ 1 3.30000+ 1 2.67351- 3 4.77410- 4 2.10000+ 1 4.10000+ 1 2.37539- 3 5.13390- 4 2.10000+ 1 4.30000+ 1 8.56072- 4 5.28050- 4 2.10000+ 1 4.40000+ 1 7.85506- 4 5.34310- 4 2.10000+ 1 5.80000+ 1 2.20509- 4 5.48200- 4 2.20000+ 1 2.20000+ 1 3.78800- 3 0.00000+ 0 2.20000+ 1 2.40000+ 1 6.43371- 3 2.86940- 4 2.20000+ 1 2.50000+ 1 7.24817- 3 2.95450- 4 2.20000+ 1 2.70000+ 1 2.36438- 2 3.33010- 4 2.20000+ 1 2.90000+ 1 9.36853- 3 3.86320- 4 2.20000+ 1 3.00000+ 1 7.47535- 3 4.26810- 4 2.20000+ 1 3.20000+ 1 2.01129- 3 5.05320- 4 2.20000+ 1 3.30000+ 1 3.08221- 3 5.11120- 4 2.20000+ 1 4.10000+ 1 3.09448- 3 5.47100- 4 2.20000+ 1 4.30000+ 1 1.16077- 3 5.61760- 4 2.20000+ 1 4.40000+ 1 9.36089- 4 5.68020- 4 2.20000+ 1 5.80000+ 1 2.87334- 4 5.81910- 4 2.40000+ 1 2.40000+ 1 9.37073- 3 5.90300- 4 2.40000+ 1 2.50000+ 1 1.80083- 2 5.98810- 4 2.40000+ 1 2.70000+ 1 2.15923- 2 6.36370- 4 2.40000+ 1 2.90000+ 1 3.00836- 3 6.89680- 4 2.40000+ 1 3.00000+ 1 1.19845- 2 7.30170- 4 2.40000+ 1 3.20000+ 1 1.13934- 3 8.08680- 4 2.40000+ 1 3.30000+ 1 7.36386- 4 8.14480- 4 2.40000+ 1 4.10000+ 1 2.44865- 3 8.50460- 4 2.40000+ 1 4.30000+ 1 3.41761- 4 8.65120- 4 2.40000+ 1 4.40000+ 1 1.28537- 3 8.71380- 4 2.40000+ 1 5.80000+ 1 2.22060- 4 8.85270- 4 2.50000+ 1 2.50000+ 1 1.54865- 2 6.07320- 4 2.50000+ 1 2.70000+ 1 2.79503- 2 6.44880- 4 2.50000+ 1 2.90000+ 1 1.50283- 3 6.98190- 4 2.50000+ 1 3.00000+ 1 1.30489- 2 7.38680- 4 2.50000+ 1 3.20000+ 1 6.72360- 4 8.17190- 4 2.50000+ 1 3.30000+ 1 1.63898- 3 8.22990- 4 2.50000+ 1 4.10000+ 1 3.15809- 3 8.58970- 4 2.50000+ 1 4.30000+ 1 1.66353- 4 8.73630- 4 2.50000+ 1 4.40000+ 1 1.34702- 3 8.79890- 4 2.50000+ 1 5.80000+ 1 2.86228- 4 8.93780- 4 2.70000+ 1 2.70000+ 1 1.63291- 2 6.82440- 4 2.70000+ 1 2.90000+ 1 2.38647- 2 7.35750- 4 2.70000+ 1 3.00000+ 1 3.77774- 2 7.76240- 4 2.70000+ 1 3.20000+ 1 3.50417- 2 8.54750- 4 2.70000+ 1 3.30000+ 1 4.84658- 2 8.60550- 4 2.70000+ 1 4.10000+ 1 4.86400- 3 8.96530- 4 2.70000+ 1 4.30000+ 1 3.54926- 3 9.11190- 4 2.70000+ 1 4.40000+ 1 5.13003- 3 9.17450- 4 2.70000+ 1 5.80000+ 1 4.59807- 4 9.31340- 4 2.90000+ 1 2.90000+ 1 1.91557- 3 7.89060- 4 2.90000+ 1 3.00000+ 1 8.36854- 3 8.29550- 4 2.90000+ 1 3.20000+ 1 3.28184- 3 9.08060- 4 2.90000+ 1 3.30000+ 1 2.41633- 3 9.13860- 4 2.90000+ 1 4.10000+ 1 2.79472- 3 9.49840- 4 2.90000+ 1 4.30000+ 1 4.69674- 4 9.64500- 4 2.90000+ 1 4.40000+ 1 8.75304- 4 9.70760- 4 2.90000+ 1 5.80000+ 1 2.54236- 4 9.84650- 4 3.00000+ 1 3.00000+ 1 5.08432- 3 8.70040- 4 3.00000+ 1 3.20000+ 1 2.46112- 3 9.48550- 4 3.00000+ 1 3.30000+ 1 5.44216- 3 9.54350- 4 3.00000+ 1 4.10000+ 1 4.46101- 3 9.90330- 4 3.00000+ 1 4.30000+ 1 1.07523- 3 1.00499- 3 3.00000+ 1 4.40000+ 1 1.21074- 3 1.01125- 3 3.00000+ 1 5.80000+ 1 4.08628- 4 1.02514- 3 3.20000+ 1 3.20000+ 1 9.96517- 4 1.02706- 3 3.20000+ 1 3.30000+ 1 2.99174- 3 1.03286- 3 3.20000+ 1 4.10000+ 1 4.79943- 3 1.06884- 3 3.20000+ 1 4.30000+ 1 4.44631- 4 1.08350- 3 3.20000+ 1 4.40000+ 1 2.56944- 4 1.08976- 3 3.20000+ 1 5.80000+ 1 4.37940- 4 1.10365- 3 3.30000+ 1 3.30000+ 1 1.91377- 3 1.03866- 3 3.30000+ 1 4.10000+ 1 6.34133- 3 1.07464- 3 3.30000+ 1 4.30000+ 1 2.75528- 4 1.08930- 3 3.30000+ 1 4.40000+ 1 6.51415- 4 1.09556- 3 3.30000+ 1 5.80000+ 1 5.76664- 4 1.10945- 3 4.10000+ 1 4.10000+ 1 3.88278- 4 1.11062- 3 4.10000+ 1 4.30000+ 1 4.72108- 4 1.12528- 3 4.10000+ 1 4.40000+ 1 6.97130- 4 1.13154- 3 4.10000+ 1 5.80000+ 1 7.28007- 5 1.14543- 3 4.30000+ 1 4.30000+ 1 3.08110- 5 1.13994- 3 4.30000+ 1 4.40000+ 1 1.27646- 4 1.14620- 3 4.30000+ 1 5.80000+ 1 4.18147- 5 1.16009- 3 4.40000+ 1 4.40000+ 1 7.03406- 5 1.15246- 3 4.40000+ 1 5.80000+ 1 5.51307- 5 1.16635- 3 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.00004- 3 4.11830- 4 2.70000+ 1 2.36853- 4 7.94970- 4 3.20000+ 1 6.35180- 5 9.67280- 4 4.10000+ 1 4.37445- 5 1.00906- 3 5.80000+ 1 3.38688- 6 1.04387- 3 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.00000+ 1 2.64311- 2 2.14600- 5 1.90000+ 1 3.20000+ 1 1.14212- 2 9.99700- 5 1.90000+ 1 3.30000+ 1 1.77067- 2 1.05770- 4 1.90000+ 1 4.10000+ 1 2.48585- 3 1.41750- 4 1.90000+ 1 4.30000+ 1 2.55270- 3 1.56410- 4 1.90000+ 1 4.40000+ 1 2.53023- 3 1.62670- 4 1.90000+ 1 5.80000+ 1 2.31516- 4 1.76560- 4 2.10000+ 1 2.40000+ 1 1.10193- 1 1.12130- 4 2.10000+ 1 2.50000+ 1 2.54680- 1 1.20640- 4 2.10000+ 1 2.70000+ 1 3.74768- 2 1.58200- 4 2.10000+ 1 2.90000+ 1 3.01261- 2 2.11510- 4 2.10000+ 1 3.00000+ 1 3.94985- 2 2.52000- 4 2.10000+ 1 3.20000+ 1 2.16011- 2 3.30510- 4 2.10000+ 1 3.30000+ 1 3.33298- 2 3.36310- 4 2.10000+ 1 4.10000+ 1 6.71871- 3 3.72290- 4 2.10000+ 1 4.30000+ 1 4.19040- 3 3.86950- 4 2.10000+ 1 4.40000+ 1 5.29041- 3 3.93210- 4 2.10000+ 1 5.80000+ 1 6.54891- 4 4.07100- 4 2.20000+ 1 2.40000+ 1 4.26013- 2 1.45840- 4 2.20000+ 1 2.50000+ 1 1.09119- 2 1.54350- 4 2.20000+ 1 2.70000+ 1 5.90453- 3 1.91910- 4 2.20000+ 1 2.90000+ 1 2.49004- 2 2.45220- 4 2.20000+ 1 3.00000+ 1 5.24529- 3 2.85710- 4 2.20000+ 1 3.20000+ 1 2.39346- 3 3.64220- 4 2.20000+ 1 3.30000+ 1 2.54811- 3 3.70020- 4 2.20000+ 1 4.10000+ 1 8.05687- 4 4.06000- 4 2.20000+ 1 4.30000+ 1 2.49934- 3 4.20660- 4 2.20000+ 1 4.40000+ 1 5.59456- 4 4.26920- 4 2.20000+ 1 5.80000+ 1 7.52859- 5 4.40810- 4 2.40000+ 1 2.40000+ 1 2.29373- 3 4.49200- 4 2.40000+ 1 2.50000+ 1 1.33065- 2 4.57710- 4 2.40000+ 1 2.70000+ 1 5.00065- 3 4.95270- 4 2.40000+ 1 2.90000+ 1 2.04236- 2 5.48580- 4 2.40000+ 1 3.00000+ 1 3.09577- 3 5.89070- 4 2.40000+ 1 3.20000+ 1 5.78189- 3 6.67580- 4 2.40000+ 1 3.30000+ 1 3.84060- 3 6.73380- 4 2.40000+ 1 4.10000+ 1 9.10243- 4 7.09360- 4 2.40000+ 1 4.30000+ 1 2.08267- 3 7.24020- 4 2.40000+ 1 4.40000+ 1 3.72245- 4 7.30280- 4 2.40000+ 1 5.80000+ 1 8.78685- 5 7.44170- 4 2.50000+ 1 2.50000+ 1 6.34878- 4 4.66220- 4 2.50000+ 1 2.70000+ 1 2.85557- 3 5.03780- 4 2.50000+ 1 2.90000+ 1 3.22151- 2 5.57090- 4 2.50000+ 1 3.00000+ 1 1.85356- 3 5.97580- 4 2.50000+ 1 3.20000+ 1 1.20495- 2 6.76090- 4 2.50000+ 1 3.30000+ 1 1.12005- 3 6.81890- 4 2.50000+ 1 4.10000+ 1 3.92963- 4 7.17870- 4 2.50000+ 1 4.30000+ 1 3.17617- 3 7.32530- 4 2.50000+ 1 4.40000+ 1 2.10623- 4 7.38790- 4 2.50000+ 1 5.80000+ 1 3.65891- 5 7.52680- 4 2.70000+ 1 2.70000+ 1 1.25950- 3 5.41340- 4 2.70000+ 1 2.90000+ 1 1.68114- 2 5.94650- 4 2.70000+ 1 3.00000+ 1 3.18696- 3 6.35140- 4 2.70000+ 1 3.20000+ 1 4.00368- 3 7.13650- 4 2.70000+ 1 3.30000+ 1 2.85301- 3 7.19450- 4 2.70000+ 1 4.10000+ 1 3.51464- 4 7.55430- 4 2.70000+ 1 4.30000+ 1 1.63095- 3 7.70090- 4 2.70000+ 1 4.40000+ 1 3.90233- 4 7.76350- 4 2.70000+ 1 5.80000+ 1 3.25202- 5 7.90240- 4 2.90000+ 1 2.90000+ 1 1.35345- 2 6.47960- 4 2.90000+ 1 3.00000+ 1 3.56430- 2 6.88450- 4 2.90000+ 1 3.20000+ 1 2.68296- 2 7.66960- 4 2.90000+ 1 3.30000+ 1 4.47870- 2 7.72760- 4 2.90000+ 1 4.10000+ 1 3.73081- 3 8.08740- 4 2.90000+ 1 4.30000+ 1 3.38095- 3 8.23400- 4 2.90000+ 1 4.40000+ 1 4.87238- 3 8.29660- 4 2.90000+ 1 5.80000+ 1 3.61922- 4 8.43550- 4 3.00000+ 1 3.00000+ 1 1.15618- 3 7.28940- 4 3.00000+ 1 3.20000+ 1 4.62622- 3 8.07450- 4 3.00000+ 1 3.30000+ 1 2.00709- 3 8.13250- 4 3.00000+ 1 4.10000+ 1 4.43761- 4 8.49230- 4 3.00000+ 1 4.30000+ 1 3.19183- 3 8.63890- 4 3.00000+ 1 4.40000+ 1 2.67344- 4 8.70150- 4 3.00000+ 1 5.80000+ 1 4.07122- 5 8.84040- 4 3.20000+ 1 3.20000+ 1 8.06835- 4 8.85960- 4 3.20000+ 1 3.30000+ 1 1.29918- 3 8.91760- 4 3.20000+ 1 4.10000+ 1 3.47433- 4 9.27740- 4 3.20000+ 1 4.30000+ 1 1.17173- 3 9.42400- 4 3.20000+ 1 4.40000+ 1 2.94386- 4 9.48660- 4 3.20000+ 1 5.80000+ 1 3.36446- 5 9.62550- 4 3.30000+ 1 3.30000+ 1 1.46449- 4 8.97560- 4 3.30000+ 1 4.10000+ 1 1.21154- 4 9.33540- 4 3.30000+ 1 4.30000+ 1 1.32781- 3 9.48200- 4 3.30000+ 1 4.40000+ 1 7.36687- 5 9.54460- 4 3.30000+ 1 5.80000+ 1 1.10945- 5 9.68350- 4 4.10000+ 1 4.10000+ 1 8.20069- 6 9.69520- 4 4.10000+ 1 4.30000+ 1 9.88190- 5 9.84180- 4 4.10000+ 1 4.40000+ 1 1.64010- 5 9.90440- 4 4.10000+ 1 5.80000+ 1 1.64010- 6 1.00433- 3 4.30000+ 1 4.30000+ 1 5.26844- 5 9.98840- 4 4.30000+ 1 4.40000+ 1 1.29101- 4 1.00510- 3 4.30000+ 1 5.80000+ 1 9.25036- 6 1.01899- 3 4.40000+ 1 4.40000+ 1 3.68289- 6 1.01136- 3 4.40000+ 1 5.80000+ 1 1.33914- 6 1.02525- 3 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.41035- 5 2.30540- 4 2.20000+ 1 1.98320- 4 2.64250- 4 2.70000+ 1 2.41577- 4 6.13680- 4 3.20000+ 1 2.26075- 5 7.85990- 4 3.30000+ 1 1.34353- 4 7.91790- 4 4.10000+ 1 4.35285- 5 8.27770- 4 5.80000+ 1 3.32724- 6 8.62580- 4 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.90000+ 1 1.66713- 2 3.02200- 5 2.10000+ 1 3.00000+ 1 4.91068- 2 7.07100- 5 2.10000+ 1 3.20000+ 1 1.58295- 2 1.49220- 4 2.10000+ 1 3.30000+ 1 2.52580- 2 1.55020- 4 2.10000+ 1 4.10000+ 1 3.37071- 3 1.91000- 4 2.10000+ 1 4.30000+ 1 2.28301- 3 2.05660- 4 2.10000+ 1 4.40000+ 1 5.43688- 3 2.11920- 4 2.10000+ 1 5.80000+ 1 3.23328- 4 2.25810- 4 2.20000+ 1 2.70000+ 1 9.94385- 2 1.06200- 5 2.20000+ 1 2.90000+ 1 1.07689- 1 6.39300- 5 2.20000+ 1 3.00000+ 1 1.26329- 1 1.04420- 4 2.20000+ 1 3.20000+ 1 1.05723- 1 1.82930- 4 2.20000+ 1 3.30000+ 1 1.26486- 1 1.88730- 4 2.20000+ 1 4.10000+ 1 1.80883- 2 2.24710- 4 2.20000+ 1 4.30000+ 1 1.52232- 2 2.39370- 4 2.20000+ 1 4.40000+ 1 1.57208- 2 2.45630- 4 2.20000+ 1 5.80000+ 1 1.73884- 3 2.59520- 4 2.40000+ 1 2.40000+ 1 8.47760- 4 2.67910- 4 2.40000+ 1 2.50000+ 1 8.03126- 3 2.76420- 4 2.40000+ 1 2.70000+ 1 8.37100- 3 3.13980- 4 2.40000+ 1 2.90000+ 1 4.50743- 3 3.67290- 4 2.40000+ 1 3.00000+ 1 5.32185- 2 4.07780- 4 2.40000+ 1 3.20000+ 1 1.89161- 3 4.86290- 4 2.40000+ 1 3.30000+ 1 7.62807- 3 4.92090- 4 2.40000+ 1 4.10000+ 1 9.79358- 4 5.28070- 4 2.40000+ 1 4.30000+ 1 5.68251- 4 5.42730- 4 2.40000+ 1 4.40000+ 1 5.00195- 3 5.48990- 4 2.40000+ 1 5.80000+ 1 8.94101- 5 5.62880- 4 2.50000+ 1 2.50000+ 1 4.78756- 3 2.84930- 4 2.50000+ 1 2.70000+ 1 1.88813- 2 3.22490- 4 2.50000+ 1 2.90000+ 1 1.58325- 2 3.75800- 4 2.50000+ 1 3.00000+ 1 6.40420- 2 4.16290- 4 2.50000+ 1 3.20000+ 1 1.50649- 3 4.94800- 4 2.50000+ 1 3.30000+ 1 1.04450- 2 5.00600- 4 2.50000+ 1 4.10000+ 1 2.65591- 3 5.36580- 4 2.50000+ 1 4.30000+ 1 2.06939- 3 5.51240- 4 2.50000+ 1 4.40000+ 1 6.09008- 3 5.57500- 4 2.50000+ 1 5.80000+ 1 2.49181- 4 5.71390- 4 2.70000+ 1 2.70000+ 1 5.12921- 6 3.60050- 4 2.70000+ 1 2.90000+ 1 2.29535- 4 4.13360- 4 2.70000+ 1 3.00000+ 1 4.99048- 3 4.53850- 4 2.70000+ 1 3.20000+ 1 4.51383- 4 5.32360- 4 2.70000+ 1 3.30000+ 1 7.85734- 4 5.38160- 4 2.70000+ 1 4.10000+ 1 5.44988- 6 5.74140- 4 2.70000+ 1 4.30000+ 1 2.21196- 5 5.88800- 4 2.70000+ 1 4.40000+ 1 4.54895- 4 5.95060- 4 2.70000+ 1 5.80000+ 1 6.41163- 7 6.08950- 4 2.90000+ 1 2.90000+ 1 1.25535- 6 4.66670- 4 2.90000+ 1 3.00000+ 1 5.44487- 3 5.07160- 4 2.90000+ 1 3.20000+ 1 2.37896- 4 5.85670- 4 2.90000+ 1 3.30000+ 1 7.03313- 4 5.91470- 4 2.90000+ 1 4.10000+ 1 3.67200- 5 6.27450- 4 2.90000+ 1 4.30000+ 1 2.51082- 6 6.42110- 4 2.90000+ 1 4.40000+ 1 5.09051- 4 6.48370- 4 2.90000+ 1 5.80000+ 1 3.45235- 6 6.62260- 4 3.00000+ 1 3.00000+ 1 7.17852- 3 5.47650- 4 3.00000+ 1 3.20000+ 1 7.95798- 3 6.26160- 4 3.00000+ 1 3.30000+ 1 1.06145- 2 6.31960- 4 3.00000+ 1 4.10000+ 1 9.39147- 4 6.67940- 4 3.00000+ 1 4.30000+ 1 8.23144- 4 6.82600- 4 3.00000+ 1 4.40000+ 1 1.65268- 3 6.88860- 4 3.00000+ 1 5.80000+ 1 9.09177- 5 7.02750- 4 3.20000+ 1 3.20000+ 1 1.38682- 4 7.04670- 4 3.20000+ 1 3.30000+ 1 8.30651- 4 7.10470- 4 3.20000+ 1 4.10000+ 1 5.31175- 5 7.46450- 4 3.20000+ 1 4.30000+ 1 3.01470- 5 7.61110- 4 3.20000+ 1 4.40000+ 1 6.61814- 4 7.67370- 4 3.20000+ 1 5.80000+ 1 4.88111- 6 7.81260- 4 3.30000+ 1 3.30000+ 1 7.60628- 4 7.16270- 4 3.30000+ 1 4.10000+ 1 1.18676- 4 7.52250- 4 3.30000+ 1 4.30000+ 1 8.72134- 5 7.66910- 4 3.30000+ 1 4.40000+ 1 8.60259- 4 7.73170- 4 3.30000+ 1 5.80000+ 1 1.13149- 5 7.87060- 4 4.10000+ 1 4.30000+ 1 2.58408- 6 8.02890- 4 4.10000+ 1 4.40000+ 1 7.52246- 5 8.09150- 4 4.30000+ 1 4.40000+ 1 6.74726- 5 8.23810- 4 4.30000+ 1 5.80000+ 1 2.87118- 7 8.37700- 4 4.40000+ 1 4.40000+ 1 8.01057- 5 8.30070- 4 4.40000+ 1 5.80000+ 1 7.17788- 6 8.43960- 4 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 3.89717- 4 3.37070- 4 2.90000+ 1 1.08709- 4 4.36450- 4 3.00000+ 1 1.30569- 5 4.76940- 4 4.30000+ 1 1.60799- 5 6.11890- 4 4.40000+ 1 1.81148- 6 6.18150- 4 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 4.30000+ 1 1.02076- 3 8.83000- 6 2.20000+ 1 4.40000+ 1 2.17684- 3 1.50900- 5 2.20000+ 1 5.80000+ 1 1.64871- 4 2.89800- 5 2.40000+ 1 2.40000+ 1 4.19608- 2 3.73700- 5 2.40000+ 1 2.50000+ 1 1.46135- 1 4.58800- 5 2.40000+ 1 2.70000+ 1 1.01224- 1 8.34400- 5 2.40000+ 1 2.90000+ 1 8.74845- 2 1.36750- 4 2.40000+ 1 3.00000+ 1 1.11486- 1 1.77240- 4 2.40000+ 1 3.20000+ 1 1.09536- 1 2.55750- 4 2.40000+ 1 3.30000+ 1 1.14166- 1 2.61550- 4 2.40000+ 1 4.10000+ 1 1.83053- 2 2.97530- 4 2.40000+ 1 4.30000+ 1 1.27080- 2 3.12190- 4 2.40000+ 1 4.40000+ 1 1.46445- 2 3.18450- 4 2.40000+ 1 5.80000+ 1 1.75401- 3 3.32340- 4 2.50000+ 1 2.50000+ 1 3.47422- 3 5.43900- 5 2.50000+ 1 2.70000+ 1 8.16941- 3 9.19500- 5 2.50000+ 1 2.90000+ 1 1.56296- 2 1.45260- 4 2.50000+ 1 3.00000+ 1 7.25169- 3 1.85750- 4 2.50000+ 1 3.20000+ 1 1.19468- 1 2.64260- 4 2.50000+ 1 3.30000+ 1 5.00667- 3 2.70060- 4 2.50000+ 1 4.10000+ 1 1.07175- 3 3.06040- 4 2.50000+ 1 4.30000+ 1 1.48555- 3 3.20700- 4 2.50000+ 1 4.40000+ 1 7.61938- 4 3.26960- 4 2.50000+ 1 5.80000+ 1 9.99823- 5 3.40850- 4 2.70000+ 1 2.70000+ 1 8.32932- 4 1.29510- 4 2.70000+ 1 2.90000+ 1 1.96711- 3 1.82820- 4 2.70000+ 1 3.00000+ 1 1.62914- 3 2.23310- 4 2.70000+ 1 3.20000+ 1 1.06892- 2 3.01820- 4 2.70000+ 1 3.30000+ 1 2.26216- 3 3.07620- 4 2.70000+ 1 4.10000+ 1 1.74666- 4 3.43600- 4 2.70000+ 1 4.30000+ 1 1.91809- 4 3.58260- 4 2.70000+ 1 4.40000+ 1 1.68545- 4 3.64520- 4 2.70000+ 1 5.80000+ 1 1.63234- 5 3.78410- 4 2.90000+ 1 2.90000+ 1 3.68921- 4 2.36130- 4 2.90000+ 1 3.00000+ 1 2.06516- 3 2.76620- 4 2.90000+ 1 3.20000+ 1 6.90812- 3 3.55130- 4 2.90000+ 1 3.30000+ 1 8.88846- 4 3.60930- 4 2.90000+ 1 4.10000+ 1 1.26107- 4 3.96910- 4 2.90000+ 1 4.30000+ 1 7.42744- 5 4.11570- 4 2.90000+ 1 4.40000+ 1 1.64057- 4 4.17830- 4 2.90000+ 1 5.80000+ 1 1.14265- 5 4.31720- 4 3.00000+ 1 3.00000+ 1 7.58506- 4 3.17110- 4 3.00000+ 1 3.20000+ 1 1.38113- 2 3.95620- 4 3.00000+ 1 3.30000+ 1 1.19974- 3 4.01420- 4 3.00000+ 1 4.10000+ 1 7.11345- 5 4.37400- 4 3.00000+ 1 4.30000+ 1 1.45872- 4 4.52060- 4 3.00000+ 1 4.40000+ 1 1.22285- 4 4.58320- 4 3.00000+ 1 5.80000+ 1 5.99450- 6 4.72210- 4 3.20000+ 1 3.20000+ 1 8.32042- 3 4.74130- 4 3.20000+ 1 3.30000+ 1 1.62796- 2 4.79930- 4 3.20000+ 1 4.10000+ 1 1.45903- 3 5.15910- 4 3.20000+ 1 4.30000+ 1 1.01452- 3 5.30570- 4 3.20000+ 1 4.40000+ 1 1.84100- 3 5.36830- 4 3.20000+ 1 5.80000+ 1 1.39159- 4 5.50720- 4 3.30000+ 1 3.30000+ 1 2.93686- 4 4.85730- 4 3.30000+ 1 4.10000+ 1 6.58551- 5 5.21710- 4 3.30000+ 1 4.30000+ 1 6.09468- 5 5.36370- 4 3.30000+ 1 4.40000+ 1 1.12071- 4 5.42630- 4 3.30000+ 1 5.80000+ 1 5.72655- 6 5.56520- 4 4.10000+ 1 4.10000+ 1 4.72905- 6 5.57690- 4 4.10000+ 1 4.30000+ 1 9.06403- 6 5.72350- 4 4.10000+ 1 4.40000+ 1 7.09358- 6 5.78610- 4 4.10000+ 1 5.80000+ 1 7.88162- 7 5.92500- 4 4.30000+ 1 4.30000+ 1 1.22426- 6 5.87010- 4 4.30000+ 1 4.40000+ 1 1.14264- 5 5.93270- 4 4.30000+ 1 5.80000+ 1 8.16198- 7 6.07160- 4 4.40000+ 1 4.40000+ 1 4.89734- 6 5.99530- 4 4.40000+ 1 5.80000+ 1 4.08115- 7 6.13420- 4 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.55180- 5 3.03360- 4 2.50000+ 1 3.44391- 4 3.11870- 4 3.00000+ 1 9.51962- 5 4.43230- 4 4.40000+ 1 1.32340- 5 5.84440- 4 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 2.80256- 3 3.66000- 6 2.40000+ 1 2.50000+ 1 1.95139- 2 1.21700- 5 2.40000+ 1 2.70000+ 1 1.24338- 2 4.97300- 5 2.40000+ 1 2.90000+ 1 8.27242- 3 1.03040- 4 2.40000+ 1 3.00000+ 1 1.58578- 2 1.43530- 4 2.40000+ 1 3.20000+ 1 6.99306- 3 2.22040- 4 2.40000+ 1 3.30000+ 1 1.04393- 1 2.27840- 4 2.40000+ 1 4.10000+ 1 1.88661- 3 2.63820- 4 2.40000+ 1 4.30000+ 1 1.13441- 3 2.78480- 4 2.40000+ 1 4.40000+ 1 1.73464- 3 2.84740- 4 2.40000+ 1 5.80000+ 1 1.78204- 4 2.98630- 4 2.50000+ 1 2.50000+ 1 3.99919- 2 2.06800- 5 2.50000+ 1 2.70000+ 1 1.10220- 1 5.82400- 5 2.50000+ 1 2.90000+ 1 1.17727- 1 1.11550- 4 2.50000+ 1 3.00000+ 1 1.11959- 1 1.52040- 4 2.50000+ 1 3.20000+ 1 1.05531- 1 2.30550- 4 2.50000+ 1 3.30000+ 1 1.94156- 1 2.36350- 4 2.50000+ 1 4.10000+ 1 2.00944- 2 2.72330- 4 2.50000+ 1 4.30000+ 1 1.64294- 2 2.86990- 4 2.50000+ 1 4.40000+ 1 1.48349- 2 2.93250- 4 2.50000+ 1 5.80000+ 1 1.91727- 3 3.07140- 4 2.70000+ 1 2.70000+ 1 1.53043- 3 9.58000- 5 2.70000+ 1 2.90000+ 1 2.07367- 3 1.49110- 4 2.70000+ 1 3.00000+ 1 3.52180- 3 1.89600- 4 2.70000+ 1 3.20000+ 1 3.11138- 3 2.68110- 4 2.70000+ 1 3.30000+ 1 1.38493- 2 2.73910- 4 2.70000+ 1 4.10000+ 1 3.09337- 4 3.09890- 4 2.70000+ 1 4.30000+ 1 2.07981- 4 3.24550- 4 2.70000+ 1 4.40000+ 1 3.60913- 4 3.30810- 4 2.70000+ 1 5.80000+ 1 2.82018- 5 3.44700- 4 2.90000+ 1 2.90000+ 1 2.56620- 4 2.02420- 4 2.90000+ 1 3.00000+ 1 3.66355- 3 2.42910- 4 2.90000+ 1 3.20000+ 1 4.80401- 4 3.21420- 4 2.90000+ 1 3.30000+ 1 1.07177- 2 3.27220- 4 2.90000+ 1 4.10000+ 1 1.27875- 4 3.63200- 4 2.90000+ 1 4.30000+ 1 4.99231- 5 3.77860- 4 2.90000+ 1 4.40000+ 1 3.02618- 4 3.84120- 4 2.90000+ 1 5.80000+ 1 1.13856- 5 3.98010- 4 3.00000+ 1 3.00000+ 1 1.20058- 3 2.83400- 4 3.00000+ 1 3.20000+ 1 1.80113- 3 3.61910- 4 3.00000+ 1 3.30000+ 1 1.41822- 2 3.67710- 4 3.00000+ 1 4.10000+ 1 1.22158- 4 4.03690- 4 3.00000+ 1 4.30000+ 1 1.79073- 4 4.18350- 4 3.00000+ 1 4.40000+ 1 1.95269- 4 4.24610- 4 3.00000+ 1 5.80000+ 1 9.63234- 6 4.38500- 4 3.20000+ 1 3.20000+ 1 1.31788- 4 4.40420- 4 3.20000+ 1 3.30000+ 1 1.30718- 2 4.46220- 4 3.20000+ 1 4.10000+ 1 7.74970- 5 4.82200- 4 3.20000+ 1 4.30000+ 1 4.33463- 5 4.96860- 4 3.20000+ 1 4.40000+ 1 1.69448- 4 5.03120- 4 3.20000+ 1 5.80000+ 1 6.12970- 6 5.17010- 4 3.30000+ 1 3.30000+ 1 1.45071- 2 4.52020- 4 3.30000+ 1 4.10000+ 1 1.63566- 3 4.88000- 4 3.30000+ 1 4.30000+ 1 1.42601- 3 5.02660- 4 3.30000+ 1 4.40000+ 1 1.88840- 3 5.08920- 4 3.30000+ 1 5.80000+ 1 1.55868- 4 5.22810- 4 4.10000+ 1 4.10000+ 1 9.11314- 6 5.23980- 4 4.10000+ 1 4.30000+ 1 1.08485- 5 5.38640- 4 4.10000+ 1 4.40000+ 1 1.34526- 5 5.44900- 4 4.10000+ 1 5.80000+ 1 1.73579- 6 5.58790- 4 4.30000+ 1 4.30000+ 1 1.75975- 6 5.53300- 4 4.30000+ 1 4.40000+ 1 1.58384- 5 5.59560- 4 4.30000+ 1 5.80000+ 1 8.79905- 7 5.73450- 4 4.40000+ 1 4.40000+ 1 8.75638- 6 5.65820- 4 4.40000+ 1 5.80000+ 1 8.75638- 7 5.79710- 4 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.18990- 5 2.18380- 4 3.30000+ 1 2.08110- 6 2.24180- 4 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 5.80000+ 1 2.40830- 3 3.78000- 6 2.70000+ 1 4.30000+ 1 7.87726- 3 2.11900- 5 2.70000+ 1 4.40000+ 1 1.45608- 2 2.74500- 5 2.70000+ 1 5.80000+ 1 1.45398- 3 4.13400- 5 2.90000+ 1 3.20000+ 1 8.77507- 2 1.80600- 5 2.90000+ 1 3.30000+ 1 7.16638- 2 2.38600- 5 2.90000+ 1 4.10000+ 1 3.81294- 2 5.98400- 5 2.90000+ 1 4.30000+ 1 1.65092- 2 7.45000- 5 2.90000+ 1 4.40000+ 1 3.02428- 2 8.07600- 5 2.90000+ 1 5.80000+ 1 3.25408- 3 9.46500- 5 3.00000+ 1 3.20000+ 1 1.47514- 1 5.85500- 5 3.00000+ 1 3.30000+ 1 9.85702- 2 6.43500- 5 3.00000+ 1 4.10000+ 1 1.75199- 2 1.00330- 4 3.00000+ 1 4.30000+ 1 1.49448- 2 1.14990- 4 3.00000+ 1 4.40000+ 1 9.35709- 3 1.21250- 4 3.00000+ 1 5.80000+ 1 1.54421- 3 1.35140- 4 3.20000+ 1 3.20000+ 1 1.18114- 1 1.37060- 4 3.20000+ 1 3.30000+ 1 1.72519- 1 1.42860- 4 3.20000+ 1 4.10000+ 1 1.06264- 2 1.78840- 4 3.20000+ 1 4.30000+ 1 3.36236- 2 1.93500- 4 3.20000+ 1 4.40000+ 1 2.34205- 2 1.99760- 4 3.20000+ 1 5.80000+ 1 1.06629- 3 2.13650- 4 3.30000+ 1 3.30000+ 1 2.50534- 2 1.48660- 4 3.30000+ 1 4.10000+ 1 4.52795- 3 1.84640- 4 3.30000+ 1 4.30000+ 1 3.01576- 2 1.99300- 4 3.30000+ 1 4.40000+ 1 1.26653- 2 2.05560- 4 3.30000+ 1 5.80000+ 1 4.05796- 4 2.19450- 4 4.10000+ 1 4.10000+ 1 9.19194- 5 2.20620- 4 4.10000+ 1 4.30000+ 1 1.37879- 3 2.35280- 4 4.10000+ 1 4.40000+ 1 1.02950- 3 2.41540- 4 4.10000+ 1 5.80000+ 1 1.83849- 5 2.55430- 4 4.30000+ 1 4.30000+ 1 4.96391- 4 2.49940- 4 4.30000+ 1 4.40000+ 1 1.02952- 3 2.56200- 4 4.30000+ 1 5.80000+ 1 1.28686- 4 2.70090- 4 4.40000+ 1 4.40000+ 1 2.20611- 4 2.62460- 4 4.40000+ 1 5.80000+ 1 9.19187- 5 2.76350- 4 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 3.08021- 5 2.15670- 4 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 4.30000+ 1 7.75064- 3 1.26800- 5 2.70000+ 1 4.40000+ 1 1.46203- 2 1.89400- 5 2.70000+ 1 5.80000+ 1 2.18913- 3 3.28300- 5 2.90000+ 1 3.20000+ 1 2.01877- 2 9.55000- 6 2.90000+ 1 3.30000+ 1 4.89943- 2 1.53500- 5 2.90000+ 1 4.10000+ 1 4.10092- 3 5.13300- 5 2.90000+ 1 4.30000+ 1 1.11695- 3 6.59900- 5 2.90000+ 1 4.40000+ 1 6.18460- 3 7.22500- 5 2.90000+ 1 5.80000+ 1 5.16789- 4 8.61400- 5 3.00000+ 1 3.20000+ 1 1.24855- 1 5.00400- 5 3.00000+ 1 3.30000+ 1 3.17698- 1 5.58400- 5 3.00000+ 1 4.10000+ 1 3.22917- 2 9.18200- 5 3.00000+ 1 4.30000+ 1 1.08211- 2 1.06480- 4 3.00000+ 1 4.40000+ 1 3.65748- 2 1.12740- 4 3.00000+ 1 5.80000+ 1 2.93086- 3 1.26630- 4 3.20000+ 1 3.20000+ 1 1.08555- 2 1.28550- 4 3.20000+ 1 3.30000+ 1 1.28187- 1 1.34350- 4 3.20000+ 1 4.10000+ 1 2.96543- 3 1.70330- 4 3.20000+ 1 4.30000+ 1 2.80945- 3 1.84990- 4 3.20000+ 1 4.40000+ 1 2.02729- 2 1.91250- 4 3.20000+ 1 5.80000+ 1 2.60128- 4 2.05140- 4 3.30000+ 1 3.30000+ 1 1.32094- 1 1.40150- 4 3.30000+ 1 4.10000+ 1 1.08737- 2 1.76130- 4 3.30000+ 1 4.30000+ 1 1.06127- 2 1.90790- 4 3.30000+ 1 4.40000+ 1 4.54020- 2 1.97050- 4 3.30000+ 1 5.80000+ 1 1.05789- 3 2.10940- 4 4.10000+ 1 4.10000+ 1 6.93705- 5 2.12110- 4 4.10000+ 1 4.30000+ 1 5.02947- 4 2.26770- 4 4.10000+ 1 4.40000+ 1 1.56084- 3 2.33030- 4 4.10000+ 1 5.80000+ 1 1.73426- 5 2.46920- 4 4.30000+ 1 4.30000+ 1 5.20268- 5 2.41430- 4 4.30000+ 1 4.40000+ 1 5.20268- 4 2.47690- 4 4.30000+ 1 5.80000+ 1 5.20268- 5 2.61580- 4 4.40000+ 1 4.40000+ 1 8.32425- 4 2.53950- 4 4.40000+ 1 5.80000+ 1 1.38737- 4 2.67840- 4 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.37699- 6 5.33100- 5 3.00000+ 1 1.54441- 5 9.38000- 5 4.30000+ 1 1.68863- 6 2.28750- 4 4.40000+ 1 3.98560- 8 2.35010- 4 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 3.53425- 2 1.37700- 5 2.90000+ 1 4.30000+ 1 2.10835- 2 2.84300- 5 2.90000+ 1 4.40000+ 1 4.31270- 2 3.46900- 5 2.90000+ 1 5.80000+ 1 3.25732- 3 4.85800- 5 3.00000+ 1 3.20000+ 1 3.50174- 1 1.24800- 5 3.00000+ 1 3.30000+ 1 2.95968- 1 1.82800- 5 3.00000+ 1 4.10000+ 1 2.21755- 2 5.42600- 5 3.00000+ 1 4.30000+ 1 2.08578- 2 6.89200- 5 3.00000+ 1 4.40000+ 1 2.03823- 2 7.51800- 5 3.00000+ 1 5.80000+ 1 2.12470- 3 8.90700- 5 3.20000+ 1 3.20000+ 1 1.98134- 3 9.09900- 5 3.20000+ 1 3.30000+ 1 1.24394- 1 9.67900- 5 3.20000+ 1 4.10000+ 1 7.68887- 3 1.32770- 4 3.20000+ 1 4.30000+ 1 1.14938- 3 1.47430- 4 3.20000+ 1 4.40000+ 1 6.70874- 3 1.53690- 4 3.20000+ 1 5.80000+ 1 5.98067- 4 1.67580- 4 3.30000+ 1 3.30000+ 1 2.35403- 2 1.02590- 4 3.30000+ 1 4.10000+ 1 7.86789- 3 1.38570- 4 3.30000+ 1 4.30000+ 1 3.32640- 3 1.53230- 4 3.30000+ 1 4.40000+ 1 3.15506- 3 1.59490- 4 3.30000+ 1 5.80000+ 1 6.11424- 4 1.73380- 4 4.10000+ 1 4.10000+ 1 7.96503- 4 1.74550- 4 4.10000+ 1 4.30000+ 1 8.98725- 4 1.89210- 4 4.10000+ 1 4.40000+ 1 1.36265- 3 1.95470- 4 4.10000+ 1 5.80000+ 1 1.33732- 4 2.09360- 4 4.30000+ 1 4.30000+ 1 1.00943- 4 2.03870- 4 4.30000+ 1 4.40000+ 1 6.29324- 4 2.10130- 4 4.30000+ 1 5.80000+ 1 8.30750- 5 2.24020- 4 4.40000+ 1 4.40000+ 1 3.25529- 4 2.16390- 4 4.40000+ 1 5.80000+ 1 1.36693- 4 2.30280- 4 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.95950- 5 1.19000- 4 4.10000+ 1 2.16950- 6 1.60780- 4 5.80000+ 1 1.63630- 7 1.95590- 4 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 4.10000+ 1 1.75843- 2 9.50000- 7 3.00000+ 1 4.30000+ 1 1.26681- 2 1.56100- 5 3.00000+ 1 4.40000+ 1 8.59059- 3 2.18700- 5 3.00000+ 1 5.80000+ 1 1.13996- 3 3.57600- 5 3.20000+ 1 3.20000+ 1 1.45613- 1 3.76800- 5 3.20000+ 1 3.30000+ 1 6.27275- 1 4.34800- 5 3.20000+ 1 4.10000+ 1 4.32122- 2 7.94600- 5 3.20000+ 1 4.30000+ 1 2.81519- 2 9.41200- 5 3.20000+ 1 4.40000+ 1 4.71211- 2 1.00380- 4 3.20000+ 1 5.80000+ 1 4.27509- 3 1.14270- 4 3.30000+ 1 3.30000+ 1 2.50438- 2 4.92800- 5 3.30000+ 1 4.10000+ 1 3.63570- 3 8.52600- 5 3.30000+ 1 4.30000+ 1 2.35928- 2 9.99200- 5 3.30000+ 1 4.40000+ 1 5.64827- 3 1.06180- 4 3.30000+ 1 5.80000+ 1 2.90342- 4 1.20070- 4 4.10000+ 1 4.10000+ 1 7.30314- 5 1.21240- 4 4.10000+ 1 4.30000+ 1 2.01600- 3 1.35900- 4 4.10000+ 1 4.40000+ 1 3.21285- 4 1.42160- 4 4.10000+ 1 5.80000+ 1 1.22736- 5 1.56050- 4 4.30000+ 1 4.30000+ 1 1.02479- 3 1.50560- 4 4.30000+ 1 4.40000+ 1 2.37471- 3 1.56820- 4 4.30000+ 1 5.80000+ 1 1.81198- 4 1.70710- 4 4.40000+ 1 4.40000+ 1 1.11927- 4 1.63080- 4 4.40000+ 1 5.80000+ 1 2.11431- 5 1.76970- 4 1 88000 0 7 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 2.84769- 7 7.85100- 5 3.30000+ 1 3.19699- 6 8.43100- 5 4.10000+ 1 1.10070- 6 1.20290- 4 5.80000+ 1 1.06440- 7 1.55100- 4 1 88000 0 9 2.26000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.20000+ 1 2.95280- 2 0.00000+ 0 3.20000+ 1 3.30000+ 1 4.34374- 1 2.99000- 6 3.20000+ 1 4.10000+ 1 4.82460- 3 3.89700- 5 3.20000+ 1 4.30000+ 1 3.02734- 3 5.36300- 5 3.20000+ 1 4.40000+ 1 9.29385- 3 5.98900- 5 3.20000+ 1 5.80000+ 1 3.60701- 4 7.37800- 5 3.30000+ 1 3.30000+ 1 3.89621- 1 8.79000- 6 3.30000+ 1 4.10000+ 1 3.98955- 2 4.47700- 5 3.30000+ 1 4.30000+ 1 3.76389- 2 5.94300- 5 3.30000+ 1 4.40000+ 1 4.41124- 2 6.56900- 5 3.30000+ 1 5.80000+ 1 3.76993- 3 7.95800- 5 4.10000+ 1 4.10000+ 1 1.45535- 4 8.07500- 5 4.10000+ 1 4.30000+ 1 2.54661- 4 9.54100- 5 4.10000+ 1 4.40000+ 1 1.17376- 3 1.01670- 4 4.10000+ 1 5.80000+ 1 2.38374- 5 1.15560- 4 4.30000+ 1 4.30000+ 1 1.15167- 7 1.10070- 4 4.30000+ 1 4.40000+ 1 8.90595- 4 1.16330- 4 4.30000+ 1 5.80000+ 1 1.19771- 5 1.30220- 4 4.40000+ 1 4.40000+ 1 9.52664- 4 1.22590- 4 4.40000+ 1 5.80000+ 1 9.57323- 5 1.36480- 4 1 89000 0 0 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 4.60000+ 1 4.00000- 1 4.70000+ 1 6.00000- 1 5.80000+ 1 2.00000+ 0 1 89000 0 0 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.07190- 1 3.00000+ 0 1.98480- 2 5.00000+ 0 1.91630- 2 6.00000+ 0 1.58830- 2 8.00000+ 0 4.97430- 3 1.00000+ 1 4.65470- 3 1.10000+ 1 3.90390- 3 1.30000+ 1 3.37960- 3 1.40000+ 1 3.22410- 3 1.60000+ 1 1.24950- 3 1.80000+ 1 1.10480- 3 1.90000+ 1 9.11440- 4 2.10000+ 1 6.75510- 4 2.20000+ 1 6.39620- 4 2.40000+ 1 3.28900- 4 2.50000+ 1 3.19740- 4 2.70000+ 1 2.74100- 4 2.90000+ 1 2.18790- 4 3.00000+ 1 1.74660- 4 3.20000+ 1 9.28200- 5 3.30000+ 1 8.63800- 5 4.10000+ 1 4.51700- 5 4.30000+ 1 2.93100- 5 4.40000+ 1 2.19500- 5 4.60000+ 1 4.49000- 6 4.70000+ 1 4.00000- 6 5.80000+ 1 5.41000- 6 1 89000 0 0 2.27000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.57890- 1 3.00000+ 0 3.90250- 2 5.00000+ 0 3.90300- 2 6.00000+ 0 2.56980- 2 8.00000+ 0 1.25070- 2 1.00000+ 1 1.23730- 2 1.10000+ 1 9.01290- 3 1.30000+ 1 8.85180- 3 1.40000+ 1 8.20230- 3 1.60000+ 1 4.26940- 3 1.80000+ 1 4.11940- 3 1.90000+ 1 3.08940- 3 2.10000+ 1 2.85210- 3 2.20000+ 1 2.65690- 3 2.40000+ 1 2.29470- 3 2.50000+ 1 2.22850- 3 2.70000+ 1 1.28410- 3 2.90000+ 1 1.16660- 3 3.00000+ 1 8.79520- 4 3.20000+ 1 6.78960- 4 3.30000+ 1 6.30550- 4 4.10000+ 1 3.03560- 4 4.30000+ 1 2.39960- 4 4.40000+ 1 1.73010- 4 4.60000+ 1 7.00300- 5 4.70000+ 1 6.14300- 5 5.80000+ 1 4.03300- 5 1 89000 0 0 2.27000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.57640-11 3.00000+ 0 3.13830-10 5.00000+ 0 2.54830-10 6.00000+ 0 3.06730-10 8.00000+ 0 8.15570-10 1.00000+ 1 7.66530-10 1.10000+ 1 8.59980-10 1.30000+ 1 7.42200-10 1.40000+ 1 7.70000-10 1.60000+ 1 1.77670- 9 1.80000+ 1 1.76860- 9 1.90000+ 1 1.95630- 9 2.10000+ 1 1.94430- 9 2.20000+ 1 2.00110- 9 2.40000+ 1 1.95940- 9 2.50000+ 1 1.98760- 9 2.70000+ 1 3.74340- 9 2.90000+ 1 3.90790- 9 3.00000+ 1 4.32110- 9 3.20000+ 1 4.89260- 9 3.30000+ 1 5.03940- 9 4.10000+ 1 8.27920- 9 4.30000+ 1 9.26010- 9 4.40000+ 1 1.04380- 8 4.60000+ 1 1.65580- 8 4.70000+ 1 1.76170- 8 5.80000+ 1 2.25670- 8 1 89000 0 0 2.27000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.01030- 5 3.00000+ 0 2.05990- 6 5.00000+ 0 3.62190- 6 6.00000+ 0 3.06080- 6 8.00000+ 0 8.96340- 8 1.00000+ 1 9.90210- 8 1.10000+ 1 1.09870- 7 1.30000+ 1 1.40390- 7 1.40000+ 1 1.29850- 7 1.60000+ 1 4.52490- 9 1.80000+ 1 5.91730- 9 1.90000+ 1 4.05070- 9 2.10000+ 1 2.91000- 9 2.20000+ 1 2.26490- 9 2.40000+ 1 8.58990-11 2.50000+ 1 7.83660-11 2.70000+ 1 2.94440-10 2.90000+ 1 6.07310-10 3.00000+ 1 3.09300-10 1 89000 0 0 2.27000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.59520- 6 3.00000+ 0 1.34810- 5 5.00000+ 0 4.06620- 6 6.00000+ 0 4.21810- 6 8.00000+ 0 1.87830- 5 1.00000+ 1 1.44310- 5 1.10000+ 1 1.17270- 5 1.30000+ 1 3.05980- 6 1.40000+ 1 3.04840- 6 1.60000+ 1 1.37860- 5 1.80000+ 1 1.50100- 5 1.90000+ 1 9.80280- 6 2.10000+ 1 6.38840- 6 2.20000+ 1 6.29130- 6 2.40000+ 1 1.47480- 7 2.50000+ 1 1.66550- 7 2.70000+ 1 2.11750- 5 2.90000+ 1 8.72070- 6 3.00000+ 1 1.26250- 5 1 89000 0 0 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.60889- 4 3.00000+ 0 1.24206- 3 5.00000+ 0 8.80397- 4 6.00000+ 0 8.64518- 4 8.00000+ 0 9.12769- 4 1.00000+ 1 8.05224- 4 1.10000+ 1 7.18642- 4 1.30000+ 1 5.43343- 4 1.40000+ 1 5.36304- 4 1.60000+ 1 4.74688- 4 1.80000+ 1 4.62650- 4 1.90000+ 1 4.34637- 4 2.10000+ 1 3.40478- 4 2.20000+ 1 3.34320- 4 2.40000+ 1 2.08177- 4 2.50000+ 1 2.15569- 4 2.70000+ 1 2.24066- 4 2.90000+ 1 1.69624- 4 3.00000+ 1 1.60716- 4 3.20000+ 1 9.28200- 5 3.30000+ 1 8.63800- 5 4.10000+ 1 4.51700- 5 4.30000+ 1 2.93100- 5 4.40000+ 1 2.19500- 5 4.60000+ 1 4.49000- 6 4.70000+ 1 4.00000- 6 5.80000+ 1 5.41000- 6 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.40516+ 0 3.00000+ 0 5.39929- 1 5.00000+ 0 6.02828- 1 6.00000+ 0 4.91389- 1 8.00000+ 0 5.00039- 2 1.00000+ 1 5.03734- 2 1.10000+ 1 4.64572- 2 1.30000+ 1 5.38987- 2 1.40000+ 1 4.93809- 2 1.60000+ 1 1.66830- 3 1.80000+ 1 1.86225- 3 1.90000+ 1 1.11594- 3 2.10000+ 1 6.32026- 4 2.20000+ 1 5.52405- 4 2.40000+ 1 5.26255- 5 2.50000+ 1 4.54500- 5 2.70000+ 1 2.71680- 5 2.90000+ 1 2.69138- 5 3.00000+ 1 5.69940- 6 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.55018- 2 3.00000+ 0 6.62767- 3 5.00000+ 0 8.79883- 3 6.00000+ 0 5.78826- 3 8.00000+ 0 1.49439- 4 1.00000+ 1 1.51518- 4 1.10000+ 1 1.35630- 4 1.30000+ 1 1.60136- 4 1.40000+ 1 1.40707- 4 1.60000+ 1 9.92310- 7 1.80000+ 1 9.36995- 7 1.90000+ 1 5.49434- 7 2.10000+ 1 2.32296- 7 2.20000+ 1 1.90113- 7 2.40000+ 1 1.14009- 8 2.50000+ 1 9.85382- 9 2.70000+ 1 3.04627- 9 2.90000+ 1 3.53977- 9 3.00000+ 1 5.73213-10 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.82030+ 0 3.00000+ 0 1.46118+ 1 5.00000+ 0 1.00572+ 1 6.00000+ 0 9.86638+ 0 8.00000+ 0 1.04951+ 1 1.00000+ 1 9.12604+ 0 1.10000+ 1 8.04636+ 0 1.30000+ 1 5.82303+ 0 1.40000+ 1 5.74270+ 0 1.60000+ 1 4.97414+ 0 1.80000+ 1 4.80376+ 0 1.90000+ 1 4.46235+ 0 2.10000+ 1 3.26728+ 0 2.20000+ 1 3.19137+ 0 2.40000+ 1 1.64344+ 0 2.50000+ 1 1.72338+ 0 2.70000+ 1 1.81250+ 0 2.90000+ 1 1.04185+ 0 3.00000+ 1 9.99994- 1 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.08273- 2 3.00000+ 0 1.19783- 2 5.00000+ 0 9.48377- 3 6.00000+ 0 9.23022- 3 8.00000+ 0 3.91209- 3 1.00000+ 1 3.69796- 3 1.10000+ 1 3.04963- 3 1.30000+ 1 2.67612- 3 1.40000+ 1 2.54709- 3 1.60000+ 1 7.73819- 4 1.80000+ 1 6.41213- 4 1.90000+ 1 4.76253- 4 2.10000+ 1 3.34800- 4 2.20000+ 1 3.05110- 4 2.40000+ 1 1.20712- 4 2.50000+ 1 1.04161- 4 2.70000+ 1 5.00314- 5 2.90000+ 1 4.91622- 5 3.00000+ 1 1.39436- 5 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.86898- 1 8.80270- 2 6.00000+ 0 4.66207- 1 9.13070- 2 1.00000+ 1 5.32646- 2 1.02535- 1 1.10000+ 1 1.03729- 1 1.03286- 1 1.30000+ 1 1.73589- 3 1.03810- 1 1.40000+ 1 2.01729- 3 1.03966- 1 1.80000+ 1 1.31559- 2 1.06085- 1 1.90000+ 1 2.63428- 2 1.06279- 1 2.10000+ 1 4.96797- 4 1.06514- 1 2.20000+ 1 5.78396- 4 1.06550- 1 2.90000+ 1 3.16098- 3 1.06971- 1 3.00000+ 1 6.15126- 3 1.07015- 1 3.20000+ 1 9.40484- 5 1.07097- 1 3.30000+ 1 1.08639- 4 1.07104- 1 4.30000+ 1 5.33056- 4 1.07161- 1 4.40000+ 1 9.56563- 4 1.07168- 1 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.94536- 3 6.74940- 2 3.00000+ 0 5.00000+ 0 6.93109- 3 6.81790- 2 3.00000+ 0 6.00000+ 0 2.94089- 3 7.14590- 2 3.00000+ 0 8.00000+ 0 1.63129- 3 8.23677- 2 3.00000+ 0 1.00000+ 1 1.52069- 3 8.26873- 2 3.00000+ 0 1.10000+ 1 7.17994- 4 8.34381- 2 3.00000+ 0 1.30000+ 1 6.23796- 5 8.39624- 2 3.00000+ 0 1.40000+ 1 4.12481- 5 8.41179- 2 3.00000+ 0 1.60000+ 1 4.26373- 4 8.60925- 2 3.00000+ 0 1.80000+ 1 3.90416- 4 8.62372- 2 3.00000+ 0 1.90000+ 1 1.85580- 4 8.64306- 2 3.00000+ 0 2.10000+ 1 1.78695- 5 8.66665- 2 3.00000+ 0 2.20000+ 1 1.16354- 5 8.67024- 2 3.00000+ 0 2.40000+ 1 3.62457- 8 8.70131- 2 3.00000+ 0 2.50000+ 1 3.62457- 8 8.70223- 2 3.00000+ 0 2.70000+ 1 1.04097- 4 8.70679- 2 3.00000+ 0 2.90000+ 1 8.88383- 5 8.71232- 2 3.00000+ 0 3.00000+ 1 4.16447- 5 8.71673- 2 3.00000+ 0 3.20000+ 1 3.29837- 6 8.72492- 2 3.00000+ 0 3.30000+ 1 2.10224- 6 8.72556- 2 5.00000+ 0 5.00000+ 0 2.85627- 4 6.88640- 2 5.00000+ 0 6.00000+ 0 4.87958- 3 7.21440- 2 5.00000+ 0 8.00000+ 0 1.26041- 3 8.30527- 2 5.00000+ 0 1.00000+ 1 1.10409- 4 8.33723- 2 5.00000+ 0 1.10000+ 1 1.00700- 3 8.41231- 2 5.00000+ 0 1.30000+ 1 6.25997- 5 8.46474- 2 5.00000+ 0 1.40000+ 1 1.48438- 4 8.48029- 2 5.00000+ 0 1.60000+ 1 3.20021- 4 8.67775- 2 5.00000+ 0 1.80000+ 1 2.75470- 5 8.69222- 2 5.00000+ 0 1.90000+ 1 2.49923- 4 8.71156- 2 5.00000+ 0 2.10000+ 1 1.71452- 5 8.73515- 2 5.00000+ 0 2.20000+ 1 4.09245- 5 8.73874- 2 5.00000+ 0 2.40000+ 1 5.43713- 7 8.76981- 2 5.00000+ 0 2.50000+ 1 7.97425- 7 8.77073- 2 5.00000+ 0 2.70000+ 1 7.75679- 5 8.77529- 2 5.00000+ 0 2.90000+ 1 6.23441- 6 8.78082- 2 5.00000+ 0 3.00000+ 1 5.55677- 5 8.78523- 2 5.00000+ 0 3.20000+ 1 3.11725- 6 8.79342- 2 5.00000+ 0 3.30000+ 1 7.39456- 6 8.79406- 2 6.00000+ 0 6.00000+ 0 2.01396- 3 7.54240- 2 6.00000+ 0 8.00000+ 0 4.77692- 4 8.63327- 2 6.00000+ 0 1.00000+ 1 8.85649- 4 8.66523- 2 6.00000+ 0 1.10000+ 1 8.58030- 4 8.74031- 2 6.00000+ 0 1.30000+ 1 1.61327- 4 8.79274- 2 6.00000+ 0 1.40000+ 1 1.29732- 4 8.80829- 2 6.00000+ 0 1.60000+ 1 1.17988- 4 9.00575- 2 6.00000+ 0 1.80000+ 1 2.17710- 4 9.02022- 2 6.00000+ 0 1.90000+ 1 2.14836- 4 9.03956- 2 6.00000+ 0 2.10000+ 1 4.47650- 5 9.06315- 2 6.00000+ 0 2.20000+ 1 3.59219- 5 9.06674- 2 6.00000+ 0 2.40000+ 1 8.33695- 7 9.09781- 2 6.00000+ 0 2.50000+ 1 8.69917- 7 9.09873- 2 6.00000+ 0 2.70000+ 1 2.83821- 5 9.10329- 2 6.00000+ 0 2.90000+ 1 4.90063- 5 9.10882- 2 6.00000+ 0 3.00000+ 1 4.78452- 5 9.11323- 2 6.00000+ 0 3.20000+ 1 8.19174- 6 9.12142- 2 6.00000+ 0 3.30000+ 1 6.52437- 6 9.12206- 2 8.00000+ 0 8.00000+ 0 1.66593- 4 9.72414- 2 8.00000+ 0 1.00000+ 1 2.78124- 4 9.75610- 2 8.00000+ 0 1.10000+ 1 1.17955- 4 9.83118- 2 8.00000+ 0 1.30000+ 1 9.96792- 6 9.88361- 2 8.00000+ 0 1.40000+ 1 6.19804- 6 9.89916- 2 8.00000+ 0 1.60000+ 1 8.69198- 5 1.00966- 1 8.00000+ 0 1.80000+ 1 7.15527- 5 1.01111- 1 8.00000+ 0 1.90000+ 1 3.05931- 5 1.01304- 1 8.00000+ 0 2.10000+ 1 2.86342- 6 1.01540- 1 8.00000+ 0 2.20000+ 1 1.73986- 6 1.01576- 1 8.00000+ 0 2.70000+ 1 2.12048- 5 1.01942- 1 8.00000+ 0 2.90000+ 1 1.62760- 5 1.01997- 1 8.00000+ 0 3.00000+ 1 6.88702- 6 1.02041- 1 8.00000+ 0 3.20000+ 1 5.43713- 7 1.02123- 1 8.00000+ 0 3.30000+ 1 3.26223- 7 1.02129- 1 1.00000+ 1 1.00000+ 1 1.02579- 5 9.78806- 2 1.00000+ 1 1.10000+ 1 1.89001- 4 9.86314- 2 1.00000+ 1 1.30000+ 1 1.03305- 5 9.91557- 2 1.00000+ 1 1.40000+ 1 2.01174- 5 9.93112- 2 1.00000+ 1 1.60000+ 1 7.06812- 5 1.01286- 1 1.00000+ 1 1.80000+ 1 5.07457- 6 1.01430- 1 1.00000+ 1 1.90000+ 1 4.72292- 5 1.01624- 1 1.00000+ 1 2.10000+ 1 2.86342- 6 1.01860- 1 1.00000+ 1 2.20000+ 1 5.61834- 6 1.01896- 1 1.00000+ 1 2.40000+ 1 7.24934- 8 1.02206- 1 1.00000+ 1 2.50000+ 1 7.24934- 8 1.02216- 1 1.00000+ 1 2.70000+ 1 1.71452- 5 1.02261- 1 1.00000+ 1 2.90000+ 1 1.15993- 6 1.02317- 1 1.00000+ 1 3.00000+ 1 1.05116- 5 1.02361- 1 1.00000+ 1 3.20000+ 1 5.07457- 7 1.02442- 1 1.00000+ 1 3.30000+ 1 1.01490- 6 1.02449- 1 1.10000+ 1 1.10000+ 1 9.25726- 5 9.93822- 2 1.10000+ 1 1.30000+ 1 2.78735- 5 9.99065- 2 1.10000+ 1 1.40000+ 1 2.15655- 5 1.00062- 1 1.10000+ 1 1.60000+ 1 2.92142- 5 1.02037- 1 1.10000+ 1 1.80000+ 1 4.67930- 5 1.02181- 1 1.10000+ 1 1.90000+ 1 4.65022- 5 1.02375- 1 1.10000+ 1 2.10000+ 1 7.82921- 6 1.02611- 1 1.10000+ 1 2.20000+ 1 6.01680- 6 1.02646- 1 1.10000+ 1 2.40000+ 1 1.08738- 7 1.02957- 1 1.10000+ 1 2.50000+ 1 1.08738- 7 1.02966- 1 1.10000+ 1 2.70000+ 1 7.03173- 6 1.03012- 1 1.10000+ 1 2.90000+ 1 1.05477- 5 1.03067- 1 1.10000+ 1 3.00000+ 1 1.03666- 5 1.03111- 1 1.10000+ 1 3.20000+ 1 1.44976- 6 1.03193- 1 1.10000+ 1 3.30000+ 1 1.08738- 6 1.03200- 1 1.30000+ 1 1.30000+ 1 7.24925- 8 1.00431- 1 1.30000+ 1 1.40000+ 1 3.08096- 6 1.00586- 1 1.30000+ 1 1.60000+ 1 2.46470- 6 1.02561- 1 1.30000+ 1 1.80000+ 1 2.50095- 6 1.02706- 1 1.30000+ 1 1.90000+ 1 6.66945- 6 1.02899- 1 1.30000+ 1 2.10000+ 1 3.62463- 8 1.03135- 1 1.30000+ 1 2.20000+ 1 8.33680- 7 1.03171- 1 1.30000+ 1 2.70000+ 1 5.79939- 7 1.03536- 1 1.30000+ 1 2.90000+ 1 5.43705- 7 1.03592- 1 1.30000+ 1 3.00000+ 1 1.44977- 6 1.03636- 1 1.30000+ 1 3.30000+ 1 1.44977- 7 1.03724- 1 1.40000+ 1 1.40000+ 1 7.24912- 7 1.00742- 1 1.40000+ 1 1.60000+ 1 1.52223- 6 1.02716- 1 1.40000+ 1 1.80000+ 1 4.60325- 6 1.02861- 1 1.40000+ 1 1.90000+ 1 5.11066- 6 1.03054- 1 1.40000+ 1 2.10000+ 1 8.33665- 7 1.03290- 1 1.40000+ 1 2.20000+ 1 3.98722- 7 1.03326- 1 1.40000+ 1 2.70000+ 1 3.62457- 7 1.03692- 1 1.40000+ 1 2.90000+ 1 1.01487- 6 1.03747- 1 1.40000+ 1 3.00000+ 1 1.12366- 6 1.03791- 1 1.40000+ 1 3.20000+ 1 1.44974- 7 1.03873- 1 1.40000+ 1 3.30000+ 1 7.24912- 8 1.03880- 1 1.60000+ 1 1.60000+ 1 1.13461- 5 1.04691- 1 1.60000+ 1 1.80000+ 1 1.81961- 5 1.04836- 1 1.60000+ 1 1.90000+ 1 7.57566- 6 1.05029- 1 1.60000+ 1 2.10000+ 1 7.24935- 7 1.05265- 1 1.60000+ 1 2.20000+ 1 4.34957- 7 1.05301- 1 1.60000+ 1 2.70000+ 1 5.54575- 6 1.05666- 1 1.60000+ 1 2.90000+ 1 4.13210- 6 1.05722- 1 1.60000+ 1 3.00000+ 1 1.70361- 6 1.05766- 1 1.60000+ 1 3.20000+ 1 1.44979- 7 1.05848- 1 1.60000+ 1 3.30000+ 1 7.24935- 8 1.05854- 1 1.80000+ 1 1.80000+ 1 6.16213- 7 1.04980- 1 1.80000+ 1 1.90000+ 1 1.17073- 5 1.05174- 1 1.80000+ 1 2.10000+ 1 6.88701- 7 1.05410- 1 1.80000+ 1 2.20000+ 1 1.30492- 6 1.05446- 1 1.80000+ 1 2.50000+ 1 3.62468- 8 1.05765- 1 1.80000+ 1 2.70000+ 1 4.42217- 6 1.05811- 1 1.80000+ 1 2.90000+ 1 2.89978- 7 1.05866- 1 1.80000+ 1 3.00000+ 1 2.60982- 6 1.05911- 1 1.80000+ 1 3.20000+ 1 1.44979- 7 1.05992- 1 1.80000+ 1 3.30000+ 1 2.17478- 7 1.05999- 1 1.90000+ 1 1.90000+ 1 5.83568- 6 1.05367- 1 1.90000+ 1 2.10000+ 1 1.88493- 6 1.05603- 1 1.90000+ 1 2.20000+ 1 1.41364- 6 1.05639- 1 1.90000+ 1 2.40000+ 1 3.62466- 8 1.05950- 1 1.90000+ 1 2.50000+ 1 3.62466- 8 1.05959- 1 1.90000+ 1 2.70000+ 1 1.81233- 6 1.06004- 1 1.90000+ 1 2.90000+ 1 2.64606- 6 1.06060- 1 1.90000+ 1 3.00000+ 1 2.60981- 6 1.06104- 1 1.90000+ 1 3.20000+ 1 3.26221- 7 1.06186- 1 1.90000+ 1 3.30000+ 1 2.53721- 7 1.06192- 1 2.10000+ 1 2.20000+ 1 2.23083- 7 1.05875- 1 2.10000+ 1 2.70000+ 1 1.85905- 7 1.06240- 1 2.10000+ 1 2.90000+ 1 1.48715- 7 1.06296- 1 2.10000+ 1 3.00000+ 1 4.09010- 7 1.06340- 1 2.10000+ 1 3.30000+ 1 3.71809- 8 1.06428- 1 2.20000+ 1 2.20000+ 1 3.61699- 8 1.05911- 1 2.20000+ 1 2.70000+ 1 1.08510- 7 1.06276- 1 2.20000+ 1 2.90000+ 1 2.89364- 7 1.06332- 1 2.20000+ 1 3.00000+ 1 3.25531- 7 1.06376- 1 2.20000+ 1 3.20000+ 1 3.61699- 8 1.06458- 1 2.20000+ 1 3.30000+ 1 3.61699- 8 1.06464- 1 2.70000+ 1 2.70000+ 1 6.72346- 7 1.06642- 1 2.70000+ 1 2.90000+ 1 9.90803- 7 1.06697- 1 2.70000+ 1 3.00000+ 1 3.89265- 7 1.06741- 1 2.70000+ 1 3.20000+ 1 3.53860- 8 1.06823- 1 2.70000+ 1 3.30000+ 1 3.53860- 8 1.06830- 1 2.90000+ 1 2.90000+ 1 3.78961- 8 1.06752- 1 2.90000+ 1 3.00000+ 1 6.06337- 7 1.06797- 1 2.90000+ 1 3.20000+ 1 3.78961- 8 1.06878- 1 2.90000+ 1 3.30000+ 1 3.78961- 8 1.06885- 1 3.00000+ 1 3.00000+ 1 2.79926- 7 1.06841- 1 3.00000+ 1 3.20000+ 1 6.99804- 8 1.06923- 1 3.00000+ 1 3.30000+ 1 6.99804- 8 1.06929- 1 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.22830- 5 6.85000- 4 6.00000+ 0 6.08238- 3 3.96500- 3 1.00000+ 1 4.56809- 2 1.51933- 2 1.10000+ 1 4.28469- 2 1.59441- 2 1.30000+ 1 1.96559- 3 1.64684- 2 1.40000+ 1 2.93369- 3 1.66239- 2 1.80000+ 1 1.21820- 2 1.87432- 2 1.90000+ 1 1.28790- 2 1.89366- 2 2.10000+ 1 3.24719- 4 1.91725- 2 2.20000+ 1 5.18998- 4 1.92084- 2 2.90000+ 1 2.81749- 3 1.96292- 2 3.00000+ 1 3.00689- 3 1.96733- 2 3.20000+ 1 5.44788- 5 1.97552- 2 3.30000+ 1 8.78517- 5 1.97616- 2 4.30000+ 1 4.99588- 4 1.98187- 2 4.40000+ 1 4.97338- 4 1.98260- 2 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.10000+ 1 4.40902- 3 9.49000- 6 5.00000+ 0 2.20000+ 1 5.62150- 3 4.53800- 5 5.00000+ 0 2.40000+ 1 1.30898- 2 3.56100- 4 5.00000+ 0 2.50000+ 1 1.73404- 2 3.65260- 4 5.00000+ 0 2.70000+ 1 4.85808- 3 4.10900- 4 5.00000+ 0 2.90000+ 1 3.80114- 3 4.66210- 4 5.00000+ 0 3.00000+ 1 3.17995- 3 5.10340- 4 5.00000+ 0 3.20000+ 1 8.09904- 4 5.92180- 4 5.00000+ 0 3.30000+ 1 1.04905- 3 5.98620- 4 6.00000+ 0 1.10000+ 1 3.79871- 2 6.11000- 5 6.00000+ 0 1.30000+ 1 2.10513- 1 5.85400- 4 6.00000+ 0 1.40000+ 1 2.58631- 1 7.40900- 4 6.00000+ 0 1.60000+ 1 1.70127- 2 2.71550- 3 6.00000+ 0 1.80000+ 1 6.64276- 3 2.86020- 3 6.00000+ 0 1.90000+ 1 9.52782- 3 3.05356- 3 6.00000+ 0 2.10000+ 1 3.12820- 2 3.28949- 3 6.00000+ 0 2.20000+ 1 3.63889- 2 3.32538- 3 6.00000+ 0 2.40000+ 1 1.99821- 2 3.63610- 3 6.00000+ 0 2.50000+ 1 2.45999- 2 3.64526- 3 6.00000+ 0 2.70000+ 1 3.92993- 3 3.69090- 3 6.00000+ 0 2.90000+ 1 1.48724- 3 3.74621- 3 6.00000+ 0 3.00000+ 1 2.12293- 3 3.79034- 3 6.00000+ 0 3.20000+ 1 5.21563- 3 3.87218- 3 6.00000+ 0 3.30000+ 1 5.94535- 3 3.87862- 3 8.00000+ 0 8.00000+ 0 5.25517- 3 9.89940- 3 8.00000+ 0 1.00000+ 1 1.09515- 2 1.02190- 2 8.00000+ 0 1.10000+ 1 1.59763- 2 1.09698- 2 8.00000+ 0 1.30000+ 1 1.14266- 2 1.14941- 2 8.00000+ 0 1.40000+ 1 1.40620- 2 1.16496- 2 8.00000+ 0 1.60000+ 1 2.33373- 3 1.36242- 2 8.00000+ 0 1.80000+ 1 2.77921- 3 1.37689- 2 8.00000+ 0 1.90000+ 1 4.02329- 3 1.39623- 2 8.00000+ 0 2.10000+ 1 2.70368- 3 1.41982- 2 8.00000+ 0 2.20000+ 1 3.31049- 3 1.42341- 2 8.00000+ 0 2.40000+ 1 2.46035- 4 1.45448- 2 8.00000+ 0 2.50000+ 1 2.59687- 4 1.45540- 2 8.00000+ 0 2.70000+ 1 5.53530- 4 1.45996- 2 8.00000+ 0 2.90000+ 1 6.29711- 4 1.46549- 2 8.00000+ 0 3.00000+ 1 8.96551- 4 1.46990- 2 8.00000+ 0 3.20000+ 1 4.80329- 4 1.47809- 2 8.00000+ 0 3.30000+ 1 5.81894- 4 1.47873- 2 1.00000+ 1 1.00000+ 1 1.47101- 5 1.05386- 2 1.00000+ 1 1.10000+ 1 2.02260- 4 1.12894- 2 1.00000+ 1 1.30000+ 1 7.05003- 4 1.18137- 2 1.00000+ 1 1.40000+ 1 5.15456- 3 1.19692- 2 1.00000+ 1 1.60000+ 1 1.92458- 3 1.39438- 2 1.00000+ 1 1.80000+ 1 1.75116- 6 1.40885- 2 1.00000+ 1 1.90000+ 1 4.13271- 5 1.42819- 2 1.00000+ 1 2.10000+ 1 1.40970- 4 1.45178- 2 1.00000+ 1 2.20000+ 1 7.79974- 4 1.45537- 2 1.00000+ 1 2.40000+ 1 9.19365- 5 1.48644- 2 1.00000+ 1 2.50000+ 1 3.18187- 4 1.48736- 2 1.00000+ 1 2.70000+ 1 4.29023- 4 1.49192- 2 1.00000+ 1 2.90000+ 1 3.50222- 7 1.49745- 2 1.00000+ 1 3.00000+ 1 8.75559- 6 1.50186- 2 1.00000+ 1 3.20000+ 1 2.46916- 5 1.51005- 2 1.00000+ 1 3.30000+ 1 1.26088- 4 1.51069- 2 1.10000+ 1 1.10000+ 1 6.45996- 4 1.20402- 2 1.10000+ 1 1.30000+ 1 1.48772- 3 1.25645- 2 1.10000+ 1 1.40000+ 1 9.08697- 4 1.27200- 2 1.10000+ 1 1.60000+ 1 2.73412- 3 1.46946- 2 1.10000+ 1 1.80000+ 1 5.21838- 5 1.48393- 2 1.10000+ 1 1.90000+ 1 2.51467- 4 1.50327- 2 1.10000+ 1 2.10000+ 1 1.51472- 4 1.52686- 2 1.10000+ 1 2.20000+ 1 6.81192- 5 1.53045- 2 1.10000+ 1 2.40000+ 1 1.18198- 4 1.56152- 2 1.10000+ 1 2.50000+ 1 1.01225- 4 1.56244- 2 1.10000+ 1 2.70000+ 1 6.05541- 4 1.56700- 2 1.10000+ 1 2.90000+ 1 1.19077- 5 1.57253- 2 1.10000+ 1 3.00000+ 1 5.30590- 5 1.57694- 2 1.10000+ 1 3.20000+ 1 2.25903- 5 1.58513- 2 1.10000+ 1 3.30000+ 1 9.28130- 6 1.58577- 2 1.30000+ 1 1.30000+ 1 6.55654- 4 1.30888- 2 1.30000+ 1 1.40000+ 1 1.84559- 2 1.32443- 2 1.30000+ 1 1.60000+ 1 1.76658- 3 1.52189- 2 1.30000+ 1 1.80000+ 1 2.11013- 4 1.53636- 2 1.30000+ 1 1.90000+ 1 4.12056- 4 1.55570- 2 1.30000+ 1 2.10000+ 1 3.01898- 4 1.57929- 2 1.30000+ 1 2.20000+ 1 3.03078- 3 1.58288- 2 1.30000+ 1 2.40000+ 1 2.47789- 4 1.61395- 2 1.30000+ 1 2.50000+ 1 6.75408- 4 1.61487- 2 1.30000+ 1 2.70000+ 1 3.82451- 4 1.61943- 2 1.30000+ 1 2.90000+ 1 4.95569- 5 1.62496- 2 1.30000+ 1 3.00000+ 1 9.40380- 5 1.62937- 2 1.30000+ 1 3.20000+ 1 5.34105- 5 1.63756- 2 1.30000+ 1 3.30000+ 1 4.95399- 4 1.63820- 2 1.40000+ 1 1.40000+ 1 5.04614- 3 1.33998- 2 1.40000+ 1 1.60000+ 1 2.20778- 3 1.53744- 2 1.40000+ 1 1.80000+ 1 1.15184- 3 1.55191- 2 1.40000+ 1 1.90000+ 1 2.47081- 4 1.57125- 2 1.40000+ 1 2.10000+ 1 2.90787- 3 1.59484- 2 1.40000+ 1 2.20000+ 1 1.74882- 3 1.59843- 2 1.40000+ 1 2.40000+ 1 7.41224- 4 1.62950- 2 1.40000+ 1 2.50000+ 1 5.51950- 4 1.63042- 2 1.40000+ 1 2.70000+ 1 4.81202- 4 1.63498- 2 1.40000+ 1 2.90000+ 1 2.54262- 4 1.64051- 2 1.40000+ 1 3.00000+ 1 5.65602- 5 1.64492- 2 1.40000+ 1 3.20000+ 1 4.75770- 4 1.65311- 2 1.40000+ 1 3.30000+ 1 2.89447- 4 1.65375- 2 1.60000+ 1 1.60000+ 1 2.44985- 4 1.73490- 2 1.60000+ 1 1.80000+ 1 4.90141- 4 1.74937- 2 1.60000+ 1 1.90000+ 1 6.92770- 4 1.76871- 2 1.60000+ 1 2.10000+ 1 4.20971- 4 1.79230- 2 1.60000+ 1 2.20000+ 1 5.19565- 4 1.79589- 2 1.60000+ 1 2.40000+ 1 3.18706- 5 1.82696- 2 1.60000+ 1 2.50000+ 1 3.18706- 5 1.82788- 2 1.60000+ 1 2.70000+ 1 1.14706- 4 1.83244- 2 1.60000+ 1 2.90000+ 1 1.11026- 4 1.83797- 2 1.60000+ 1 3.00000+ 1 1.54632- 4 1.84238- 2 1.60000+ 1 3.20000+ 1 7.49467- 5 1.85057- 2 1.60000+ 1 3.30000+ 1 9.14072- 5 1.85121- 2 1.80000+ 1 1.90000+ 1 1.06826- 5 1.78318- 2 1.80000+ 1 2.10000+ 1 3.79996- 5 1.80677- 2 1.80000+ 1 2.20000+ 1 1.81596- 4 1.81036- 2 1.80000+ 1 2.40000+ 1 1.31329- 5 1.84143- 2 1.80000+ 1 2.50000+ 1 5.14826- 5 1.84235- 2 1.80000+ 1 2.70000+ 1 1.09265- 4 1.84691- 2 1.80000+ 1 3.00000+ 1 2.27653- 6 1.85685- 2 1.80000+ 1 3.20000+ 1 6.47925- 6 1.86504- 2 1.80000+ 1 3.30000+ 1 2.95934- 5 1.86568- 2 1.90000+ 1 1.90000+ 1 2.34653- 5 1.80251- 2 1.90000+ 1 2.10000+ 1 4.46533- 5 1.82610- 2 1.90000+ 1 2.20000+ 1 2.20640- 5 1.82969- 2 1.90000+ 1 2.40000+ 1 2.69667- 5 1.86077- 2 1.90000+ 1 2.50000+ 1 2.24141- 5 1.86168- 2 1.90000+ 1 2.70000+ 1 1.53582- 4 1.86625- 2 1.90000+ 1 2.90000+ 1 2.45154- 6 1.87178- 2 1.90000+ 1 3.00000+ 1 9.80617- 6 1.87619- 2 1.90000+ 1 3.20000+ 1 6.65423- 6 1.88437- 2 1.90000+ 1 3.30000+ 1 3.15195- 6 1.88502- 2 2.10000+ 1 2.10000+ 1 3.20458- 5 1.84970- 2 2.10000+ 1 2.20000+ 1 5.23246- 4 1.85329- 2 2.10000+ 1 2.40000+ 1 3.95748- 5 1.88436- 2 2.10000+ 1 2.50000+ 1 8.10798- 5 1.88527- 2 2.10000+ 1 2.70000+ 1 9.12344- 5 1.88984- 2 2.10000+ 1 2.90000+ 1 8.75558- 6 1.89537- 2 2.10000+ 1 3.00000+ 1 1.03315- 5 1.89978- 2 2.10000+ 1 3.20000+ 1 1.12076- 5 1.90797- 2 2.10000+ 1 3.30000+ 1 8.68618- 5 1.90861- 2 2.20000+ 1 2.20000+ 1 1.62674- 4 1.85688- 2 2.20000+ 1 2.40000+ 1 9.50865- 5 1.88795- 2 2.20000+ 1 2.50000+ 1 7.86289- 5 1.88886- 2 2.20000+ 1 2.70000+ 1 1.13127- 4 1.89343- 2 2.20000+ 1 2.90000+ 1 4.04522- 5 1.89896- 2 2.20000+ 1 3.00000+ 1 5.25350- 6 1.90337- 2 2.20000+ 1 3.20000+ 1 8.70353- 5 1.91156- 2 2.20000+ 1 3.30000+ 1 5.44603- 5 1.91220- 2 2.40000+ 1 2.40000+ 1 1.06849- 6 1.91902- 2 2.40000+ 1 2.50000+ 1 2.11918- 5 1.91994- 2 2.40000+ 1 2.70000+ 1 6.76725- 6 1.92450- 2 2.40000+ 1 2.90000+ 1 2.67128- 6 1.93003- 2 2.40000+ 1 3.00000+ 1 5.87685- 6 1.93444- 2 2.40000+ 1 3.20000+ 1 6.58925- 6 1.94263- 2 2.40000+ 1 3.30000+ 1 1.51379- 5 1.94327- 2 2.50000+ 1 2.50000+ 1 4.67813- 6 1.92085- 2 2.50000+ 1 2.70000+ 1 7.11072- 6 1.92542- 2 2.50000+ 1 2.90000+ 1 1.12272- 5 1.93095- 2 2.50000+ 1 3.00000+ 1 5.05241- 6 1.93536- 2 2.50000+ 1 3.20000+ 1 1.34737- 5 1.94354- 2 2.50000+ 1 3.30000+ 1 1.34737- 5 1.94419- 2 2.70000+ 1 2.70000+ 1 1.57196- 5 1.92998- 2 2.70000+ 1 2.90000+ 1 2.91640- 5 1.93551- 2 2.70000+ 1 3.00000+ 1 4.05389- 5 1.93992- 2 2.70000+ 1 3.20000+ 1 1.92351- 5 1.94811- 2 2.70000+ 1 3.30000+ 1 2.33721- 5 1.94875- 2 2.90000+ 1 3.00000+ 1 6.37268- 7 1.94545- 2 2.90000+ 1 3.20000+ 1 1.91178- 6 1.95364- 2 2.90000+ 1 3.30000+ 1 8.07191- 6 1.95428- 2 3.00000+ 1 3.00000+ 1 1.56244- 6 1.94987- 2 3.00000+ 1 3.20000+ 1 2.34372- 6 1.95805- 2 3.00000+ 1 3.30000+ 1 1.04162- 6 1.95870- 2 3.20000+ 1 3.20000+ 1 1.06651- 6 1.96624- 2 3.20000+ 1 3.30000+ 1 1.47534- 5 1.96688- 2 3.30000+ 1 3.30000+ 1 4.51749- 6 1.96752- 2 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 2.68371- 5 3.28000- 3 8.00000+ 0 1.02130- 2 1.41887- 2 1.10000+ 1 4.93271- 4 1.52591- 2 1.30000+ 1 3.67091- 1 1.57834- 2 1.60000+ 1 2.73141- 3 1.79135- 2 1.90000+ 1 1.45430- 4 1.82516- 2 2.10000+ 1 8.07702- 2 1.84875- 2 2.40000+ 1 4.54471- 4 1.88341- 2 2.70000+ 1 6.74262- 4 1.88889- 2 3.00000+ 1 3.38301- 5 1.89883- 2 3.20000+ 1 1.45160- 2 1.90702- 2 4.10000+ 1 1.35270- 4 1.91178- 2 4.40000+ 1 5.23421- 6 1.91410- 2 5.80000+ 1 8.99822- 6 1.91576- 2 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.40000+ 1 4.77943- 2 5.59000- 5 6.00000+ 0 1.60000+ 1 3.88427- 3 2.03050- 3 6.00000+ 0 1.80000+ 1 3.08259- 2 2.17520- 3 6.00000+ 0 1.90000+ 1 7.62504- 3 2.36856- 3 6.00000+ 0 2.10000+ 1 2.82425- 2 2.60449- 3 6.00000+ 0 2.20000+ 1 9.57786- 3 2.64038- 3 6.00000+ 0 2.40000+ 1 1.34117- 3 2.95110- 3 6.00000+ 0 2.50000+ 1 1.95004- 3 2.96026- 3 6.00000+ 0 2.70000+ 1 8.70235- 4 3.00590- 3 6.00000+ 0 2.90000+ 1 6.37054- 3 3.06121- 3 6.00000+ 0 3.00000+ 1 1.65128- 3 3.10534- 3 6.00000+ 0 3.20000+ 1 4.80344- 3 3.18718- 3 6.00000+ 0 3.30000+ 1 1.63379- 3 3.19362- 3 8.00000+ 0 8.00000+ 0 4.34786- 4 9.21440- 3 8.00000+ 0 1.00000+ 1 1.72485- 2 9.53400- 3 8.00000+ 0 1.10000+ 1 1.54647- 3 1.02848- 2 8.00000+ 0 1.30000+ 1 3.10647- 3 1.08091- 2 8.00000+ 0 1.40000+ 1 1.27252- 3 1.09646- 2 8.00000+ 0 1.60000+ 1 1.73137- 4 1.29392- 2 8.00000+ 0 1.80000+ 1 2.88815- 3 1.30839- 2 8.00000+ 0 1.90000+ 1 3.50139- 4 1.32773- 2 8.00000+ 0 2.10000+ 1 5.21527- 4 1.35132- 2 8.00000+ 0 2.20000+ 1 1.81894- 4 1.35491- 2 8.00000+ 0 2.40000+ 1 7.48566- 5 1.38598- 2 8.00000+ 0 2.50000+ 1 5.38645- 5 1.38690- 2 8.00000+ 0 2.70000+ 1 3.98753- 5 1.39146- 2 8.00000+ 0 2.90000+ 1 5.98129- 4 1.39699- 2 8.00000+ 0 3.00000+ 1 7.62521- 5 1.40140- 2 8.00000+ 0 3.20000+ 1 8.70985- 5 1.40959- 2 8.00000+ 0 3.30000+ 1 2.93826- 5 1.41023- 2 1.00000+ 1 1.00000+ 1 1.83330- 2 9.85360- 3 1.00000+ 1 1.10000+ 1 4.28695- 2 1.06044- 2 1.00000+ 1 1.30000+ 1 2.17752- 2 1.11287- 2 1.00000+ 1 1.40000+ 1 2.86961- 2 1.12842- 2 1.00000+ 1 1.60000+ 1 4.60991- 3 1.32588- 2 1.00000+ 1 1.80000+ 1 7.82497- 3 1.34035- 2 1.00000+ 1 1.90000+ 1 1.05975- 2 1.35969- 2 1.00000+ 1 2.10000+ 1 5.14124- 3 1.38328- 2 1.00000+ 1 2.20000+ 1 6.78536- 3 1.38687- 2 1.00000+ 1 2.40000+ 1 4.14858- 4 1.41794- 2 1.00000+ 1 2.50000+ 1 3.42446- 4 1.41886- 2 1.00000+ 1 2.70000+ 1 1.13013- 3 1.42342- 2 1.00000+ 1 2.90000+ 1 1.71856- 3 1.42895- 2 1.00000+ 1 3.00000+ 1 2.35334- 3 1.43336- 2 1.00000+ 1 3.20000+ 1 9.13655- 4 1.44155- 2 1.00000+ 1 3.30000+ 1 1.19456- 3 1.44219- 2 1.10000+ 1 1.10000+ 1 9.06985- 4 1.13552- 2 1.10000+ 1 1.30000+ 1 1.75359- 2 1.18795- 2 1.10000+ 1 1.40000+ 1 2.65449- 3 1.20350- 2 1.10000+ 1 1.60000+ 1 3.44886- 4 1.40096- 2 1.10000+ 1 1.80000+ 1 7.25133- 3 1.41543- 2 1.10000+ 1 1.90000+ 1 3.87204- 4 1.43477- 2 1.10000+ 1 2.10000+ 1 3.51982- 3 1.45836- 2 1.10000+ 1 2.20000+ 1 5.16974- 4 1.46195- 2 1.10000+ 1 2.40000+ 1 1.44110- 4 1.49302- 2 1.10000+ 1 2.50000+ 1 7.31043- 5 1.49394- 2 1.10000+ 1 2.70000+ 1 8.07979- 5 1.49850- 2 1.10000+ 1 2.90000+ 1 1.50336- 3 1.50403- 2 1.10000+ 1 3.00000+ 1 8.32497- 5 1.50844- 2 1.10000+ 1 3.20000+ 1 6.05127- 4 1.51663- 2 1.10000+ 1 3.30000+ 1 8.77970- 5 1.51727- 2 1.30000+ 1 1.30000+ 1 1.66756- 2 1.24038- 2 1.30000+ 1 1.40000+ 1 6.46754- 2 1.25593- 2 1.30000+ 1 1.60000+ 1 8.31112- 4 1.45339- 2 1.30000+ 1 1.80000+ 1 3.54554- 3 1.46786- 2 1.30000+ 1 1.90000+ 1 3.99610- 3 1.48720- 2 1.30000+ 1 2.10000+ 1 6.51824- 3 1.51079- 2 1.30000+ 1 2.20000+ 1 1.36583- 2 1.51438- 2 1.30000+ 1 2.40000+ 1 1.35338- 3 1.54545- 2 1.30000+ 1 2.50000+ 1 2.70153- 3 1.54637- 2 1.30000+ 1 2.70000+ 1 2.04272- 4 1.55093- 2 1.30000+ 1 2.90000+ 1 7.35614- 4 1.55646- 2 1.30000+ 1 3.00000+ 1 8.71307- 4 1.56087- 2 1.30000+ 1 3.20000+ 1 1.12143- 3 1.56906- 2 1.30000+ 1 3.30000+ 1 2.35236- 3 1.56970- 2 1.40000+ 1 1.40000+ 1 3.15366- 3 1.27148- 2 1.40000+ 1 1.60000+ 1 2.73887- 4 1.46894- 2 1.40000+ 1 1.80000+ 1 4.10490- 3 1.48341- 2 1.40000+ 1 1.90000+ 1 5.57944- 4 1.50275- 2 1.40000+ 1 2.10000+ 1 1.03742- 2 1.52634- 2 1.40000+ 1 2.20000+ 1 1.21482- 3 1.52993- 2 1.40000+ 1 2.40000+ 1 5.39749- 4 1.56100- 2 1.40000+ 1 2.50000+ 1 2.05329- 4 1.56192- 2 1.40000+ 1 2.70000+ 1 6.40111- 5 1.56648- 2 1.40000+ 1 2.90000+ 1 8.18884- 4 1.57201- 2 1.40000+ 1 3.00000+ 1 1.19624- 4 1.57642- 2 1.40000+ 1 3.20000+ 1 1.70867- 3 1.58461- 2 1.40000+ 1 3.30000+ 1 2.06376- 4 1.58525- 2 1.60000+ 1 1.60000+ 1 1.64400- 5 1.66640- 2 1.60000+ 1 1.80000+ 1 7.76520- 4 1.68087- 2 1.60000+ 1 1.90000+ 1 7.87036- 5 1.70021- 2 1.60000+ 1 2.10000+ 1 1.36412- 4 1.72380- 2 1.60000+ 1 2.20000+ 1 3.88265- 5 1.72739- 2 1.60000+ 1 2.40000+ 1 1.74886- 5 1.75846- 2 1.60000+ 1 2.50000+ 1 1.01437- 5 1.75938- 2 1.60000+ 1 2.70000+ 1 7.69523- 6 1.76394- 2 1.60000+ 1 2.90000+ 1 1.60901- 4 1.76947- 2 1.60000+ 1 3.00000+ 1 1.71397- 5 1.77388- 2 1.60000+ 1 3.20000+ 1 2.27363- 5 1.78207- 2 1.60000+ 1 3.30000+ 1 6.29593- 6 1.78271- 2 1.80000+ 1 1.80000+ 1 7.93663- 4 1.69534- 2 1.80000+ 1 1.90000+ 1 1.79964- 3 1.71468- 2 1.80000+ 1 2.10000+ 1 8.25130- 4 1.73827- 2 1.80000+ 1 2.20000+ 1 9.81160- 4 1.74186- 2 1.80000+ 1 2.40000+ 1 5.56151- 5 1.77293- 2 1.80000+ 1 2.50000+ 1 3.53279- 5 1.77385- 2 1.80000+ 1 2.70000+ 1 1.90638- 4 1.77841- 2 1.80000+ 1 2.90000+ 1 3.44888- 4 1.78394- 2 1.80000+ 1 3.00000+ 1 3.99807- 4 1.78835- 2 1.80000+ 1 3.20000+ 1 1.46205- 4 1.79654- 2 1.80000+ 1 3.30000+ 1 1.73135- 4 1.79718- 2 1.90000+ 1 1.90000+ 1 4.16254- 5 1.73401- 2 1.90000+ 1 2.10000+ 1 8.07336- 4 1.75760- 2 1.90000+ 1 2.20000+ 1 1.09840- 4 1.76119- 2 1.90000+ 1 2.40000+ 1 2.90333- 5 1.79227- 2 1.90000+ 1 2.50000+ 1 1.36416- 5 1.79318- 2 1.90000+ 1 2.70000+ 1 1.85396- 5 1.79775- 2 1.90000+ 1 2.90000+ 1 3.73233- 4 1.80328- 2 1.90000+ 1 3.00000+ 1 1.78389- 5 1.80769- 2 1.90000+ 1 3.20000+ 1 1.38877- 4 1.81587- 2 1.90000+ 1 3.30000+ 1 1.85396- 5 1.81652- 2 2.10000+ 1 2.10000+ 1 6.33090- 4 1.78120- 2 2.10000+ 1 2.20000+ 1 2.28381- 3 1.78479- 2 2.10000+ 1 2.40000+ 1 1.82238- 4 1.81586- 2 2.10000+ 1 2.50000+ 1 3.65524- 4 1.81677- 2 2.10000+ 1 2.70000+ 1 3.32289- 5 1.82134- 2 2.10000+ 1 2.90000+ 1 1.70349- 4 1.82687- 2 2.10000+ 1 3.00000+ 1 1.76289- 4 1.83128- 2 2.10000+ 1 3.20000+ 1 2.17223- 4 1.83947- 2 2.10000+ 1 3.30000+ 1 3.95963- 4 1.84011- 2 2.20000+ 1 2.20000+ 1 1.18229- 4 1.78838- 2 2.20000+ 1 2.40000+ 1 7.90539- 5 1.81945- 2 2.20000+ 1 2.50000+ 1 3.07801- 5 1.82036- 2 2.20000+ 1 2.70000+ 1 9.09451- 6 1.82493- 2 2.20000+ 1 2.90000+ 1 1.96224- 4 1.83046- 2 2.20000+ 1 3.00000+ 1 2.37851- 5 1.83487- 2 2.20000+ 1 3.20000+ 1 3.78810- 4 1.84306- 2 2.20000+ 1 3.30000+ 1 4.02252- 5 1.84370- 2 2.40000+ 1 2.40000+ 1 4.54729- 6 1.85052- 2 2.40000+ 1 2.50000+ 1 3.11319- 5 1.85144- 2 2.40000+ 1 2.70000+ 1 4.19744- 6 1.85600- 2 2.40000+ 1 2.90000+ 1 1.11933- 5 1.86153- 2 2.40000+ 1 3.00000+ 1 6.29596- 6 1.86594- 2 2.40000+ 1 3.20000+ 1 2.90327- 5 1.87413- 2 2.40000+ 1 3.30000+ 1 1.25927- 5 1.87477- 2 2.50000+ 1 2.50000+ 1 2.09861- 6 1.85235- 2 2.50000+ 1 2.70000+ 1 2.44846- 6 1.85692- 2 2.50000+ 1 2.90000+ 1 6.64556- 6 1.86245- 2 2.50000+ 1 3.00000+ 1 2.79830- 6 1.86686- 2 2.50000+ 1 3.20000+ 1 5.80672- 5 1.87504- 2 2.50000+ 1 3.30000+ 1 4.89701- 6 1.87569- 2 2.70000+ 1 2.70000+ 1 6.99585- 7 1.86148- 2 2.70000+ 1 2.90000+ 1 3.95254- 5 1.86701- 2 2.70000+ 1 3.00000+ 1 4.19744- 6 1.87142- 2 2.70000+ 1 3.20000+ 1 5.59655- 6 1.87961- 2 2.70000+ 1 3.30000+ 1 1.39911- 6 1.88025- 2 2.90000+ 1 2.90000+ 1 3.74268- 5 1.87254- 2 2.90000+ 1 3.00000+ 1 8.29021- 5 1.87695- 2 2.90000+ 1 3.20000+ 1 3.00816- 5 1.88514- 2 2.90000+ 1 3.30000+ 1 3.46299- 5 1.88578- 2 3.00000+ 1 3.00000+ 1 1.74889- 6 1.88137- 2 3.00000+ 1 3.20000+ 1 3.04315- 5 1.88955- 2 3.00000+ 1 3.30000+ 1 3.84772- 6 1.89020- 2 3.20000+ 1 3.20000+ 1 1.78055- 5 1.89774- 2 3.20000+ 1 3.30000+ 1 6.31587- 5 1.89838- 2 3.30000+ 1 3.30000+ 1 3.37531- 6 1.89902- 2 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 1.96259- 2 1.09087- 2 1.00000+ 1 2.38568- 4 1.12283- 2 1.10000+ 1 2.16288- 4 1.19791- 2 1.30000+ 1 3.30698- 2 1.25034- 2 1.40000+ 1 2.90678- 1 1.26589- 2 1.60000+ 1 4.83686- 3 1.46335- 2 1.80000+ 1 5.35436- 5 1.47782- 2 1.90000+ 1 5.78316- 5 1.49716- 2 2.10000+ 1 6.53045- 3 1.52075- 2 2.20000+ 1 5.95616- 2 1.52434- 2 2.40000+ 1 7.34324- 5 1.55541- 2 2.50000+ 1 4.06637- 4 1.55633- 2 2.70000+ 1 1.18179- 3 1.56089- 2 2.90000+ 1 1.19199- 5 1.56642- 2 3.00000+ 1 1.31709- 5 1.57083- 2 3.20000+ 1 1.14959- 3 1.57902- 2 3.30000+ 1 1.04739- 2 1.57966- 2 4.10000+ 1 2.34838- 4 1.58378- 2 4.30000+ 1 2.03408- 6 1.58537- 2 4.40000+ 1 2.13158- 6 1.58610- 2 5.80000+ 1 2.28378- 5 1.58776- 2 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 5.06219- 4 5.93440- 3 8.00000+ 0 1.00000+ 1 2.29701- 4 6.25400- 3 8.00000+ 0 1.10000+ 1 1.87607- 2 7.00480- 3 8.00000+ 0 1.30000+ 1 2.73540- 3 7.52910- 3 8.00000+ 0 1.40000+ 1 5.24959- 3 7.68460- 3 8.00000+ 0 1.60000+ 1 2.04265- 4 9.65920- 3 8.00000+ 0 1.80000+ 1 3.98204- 5 9.80390- 3 8.00000+ 0 1.90000+ 1 3.06580- 3 9.99726- 3 8.00000+ 0 2.10000+ 1 3.17084- 4 1.02332- 2 8.00000+ 0 2.20000+ 1 5.71826- 4 1.02691- 2 8.00000+ 0 2.40000+ 1 2.98275- 4 1.05798- 2 8.00000+ 0 2.50000+ 1 5.11752- 4 1.05890- 2 8.00000+ 0 2.70000+ 1 4.68258- 5 1.06346- 2 8.00000+ 0 2.90000+ 1 8.11133- 6 1.06899- 2 8.00000+ 0 3.00000+ 1 6.23092- 4 1.07340- 2 8.00000+ 0 3.20000+ 1 4.94049- 5 1.08159- 2 8.00000+ 0 3.30000+ 1 8.59085- 5 1.08223- 2 1.00000+ 1 1.00000+ 1 3.68707- 6 6.57360- 3 1.00000+ 1 1.10000+ 1 3.14601- 2 7.32440- 3 1.00000+ 1 1.30000+ 1 1.36865- 3 7.84870- 3 1.00000+ 1 1.40000+ 1 1.06922- 2 8.00420- 3 1.00000+ 1 1.60000+ 1 4.82997- 5 9.97880- 3 1.00000+ 1 1.80000+ 1 7.74272- 6 1.01235- 2 1.00000+ 1 1.90000+ 1 5.33957- 3 1.03169- 2 1.00000+ 1 2.10000+ 1 2.69519- 4 1.05528- 2 1.00000+ 1 2.20000+ 1 1.74945- 3 1.05887- 2 1.00000+ 1 2.40000+ 1 2.65830- 4 1.08994- 2 1.00000+ 1 2.50000+ 1 6.44134- 4 1.09086- 2 1.00000+ 1 2.70000+ 1 1.14299- 5 1.09542- 2 1.00000+ 1 2.90000+ 1 2.21220- 6 1.10095- 2 1.00000+ 1 3.00000+ 1 1.09319- 3 1.10536- 2 1.00000+ 1 3.20000+ 1 4.71940- 5 1.11355- 2 1.00000+ 1 3.30000+ 1 2.89421- 4 1.11419- 2 1.10000+ 1 1.10000+ 1 3.80691- 2 8.07520- 3 1.10000+ 1 1.30000+ 1 3.99163- 2 8.59950- 3 1.10000+ 1 1.40000+ 1 5.15952- 2 8.75500- 3 1.10000+ 1 1.60000+ 1 4.93111- 3 1.07296- 2 1.10000+ 1 1.80000+ 1 7.42683- 3 1.08743- 2 1.10000+ 1 1.90000+ 1 1.56927- 2 1.10677- 2 1.10000+ 1 2.10000+ 1 8.81909- 3 1.13036- 2 1.10000+ 1 2.20000+ 1 1.13031- 2 1.13395- 2 1.10000+ 1 2.40000+ 1 8.93339- 4 1.16502- 2 1.10000+ 1 2.50000+ 1 1.07547- 3 1.16594- 2 1.10000+ 1 2.70000+ 1 1.20378- 3 1.17050- 2 1.10000+ 1 2.90000+ 1 1.66059- 3 1.17603- 2 1.10000+ 1 3.00000+ 1 3.36981- 3 1.18044- 2 1.10000+ 1 3.20000+ 1 1.54994- 3 1.18863- 2 1.10000+ 1 3.30000+ 1 1.96219- 3 1.18927- 2 1.30000+ 1 1.30000+ 1 5.32025- 3 9.12380- 3 1.30000+ 1 1.40000+ 1 9.91950- 2 9.27930- 3 1.30000+ 1 1.60000+ 1 6.64805- 4 1.12539- 2 1.30000+ 1 1.80000+ 1 3.53233- 4 1.13986- 2 1.30000+ 1 1.90000+ 1 6.12273- 3 1.15920- 2 1.30000+ 1 2.10000+ 1 1.97551- 3 1.18279- 2 1.30000+ 1 2.20000+ 1 1.54183- 2 1.18638- 2 1.30000+ 1 2.40000+ 1 4.83755- 4 1.21745- 2 1.30000+ 1 2.50000+ 1 1.62162- 3 1.21837- 2 1.30000+ 1 2.70000+ 1 1.60761- 4 1.22293- 2 1.30000+ 1 2.90000+ 1 8.00099- 5 1.22846- 2 1.30000+ 1 3.00000+ 1 1.22640- 3 1.23287- 2 1.30000+ 1 3.20000+ 1 3.37748- 4 1.24106- 2 1.30000+ 1 3.30000+ 1 2.50883- 3 1.24170- 2 1.40000+ 1 1.40000+ 1 6.56155- 2 9.43480- 3 1.40000+ 1 1.60000+ 1 1.28683- 3 1.14094- 2 1.40000+ 1 1.80000+ 1 2.27302- 3 1.15541- 2 1.40000+ 1 1.90000+ 1 8.87925- 3 1.17475- 2 1.40000+ 1 2.10000+ 1 1.85759- 2 1.19834- 2 1.40000+ 1 2.20000+ 1 2.34098- 2 1.20193- 2 1.40000+ 1 2.40000+ 1 5.07391- 3 1.23300- 2 1.40000+ 1 2.50000+ 1 4.58224- 3 1.23392- 2 1.40000+ 1 2.70000+ 1 3.13406- 4 1.23848- 2 1.40000+ 1 2.90000+ 1 4.97755- 4 1.24401- 2 1.40000+ 1 3.00000+ 1 1.83806- 3 1.24842- 2 1.40000+ 1 3.20000+ 1 3.16789- 3 1.25661- 2 1.40000+ 1 3.30000+ 1 3.92537- 3 1.25725- 2 1.60000+ 1 1.60000+ 1 2.13847- 5 1.33840- 2 1.60000+ 1 1.80000+ 1 9.21756- 6 1.35287- 2 1.60000+ 1 1.90000+ 1 8.05265- 4 1.37221- 2 1.60000+ 1 2.10000+ 1 8.33276- 5 1.39580- 2 1.60000+ 1 2.20000+ 1 1.48949- 4 1.39939- 2 1.60000+ 1 2.40000+ 1 3.79770- 5 1.43046- 2 1.60000+ 1 2.50000+ 1 7.37428- 5 1.43138- 2 1.60000+ 1 2.70000+ 1 9.95560- 6 1.43594- 2 1.60000+ 1 2.90000+ 1 1.84348- 6 1.44147- 2 1.60000+ 1 3.00000+ 1 1.63330- 4 1.44588- 2 1.60000+ 1 3.20000+ 1 1.29046- 5 1.45407- 2 1.60000+ 1 3.30000+ 1 2.24923- 5 1.45471- 2 1.80000+ 1 1.90000+ 1 1.25097- 3 1.38668- 2 1.80000+ 1 2.10000+ 1 6.41550- 5 1.41027- 2 1.80000+ 1 2.20000+ 1 4.04819- 4 1.41386- 2 1.80000+ 1 2.40000+ 1 3.98201- 5 1.44493- 2 1.80000+ 1 2.50000+ 1 9.06973- 5 1.44585- 2 1.80000+ 1 2.70000+ 1 2.21217- 6 1.45041- 2 1.80000+ 1 3.00000+ 1 2.55875- 4 1.46035- 2 1.80000+ 1 3.20000+ 1 1.10609- 5 1.46854- 2 1.80000+ 1 3.30000+ 1 6.74699- 5 1.46918- 2 1.90000+ 1 1.90000+ 1 1.54460- 3 1.40601- 2 1.90000+ 1 2.10000+ 1 1.35711- 3 1.42960- 2 1.90000+ 1 2.20000+ 1 1.91761- 3 1.43319- 2 1.90000+ 1 2.40000+ 1 1.12819- 4 1.46427- 2 1.90000+ 1 2.50000+ 1 1.43058- 4 1.46518- 2 1.90000+ 1 2.70000+ 1 1.96515- 4 1.46975- 2 1.90000+ 1 2.90000+ 1 2.79114- 4 1.47528- 2 1.90000+ 1 3.00000+ 1 6.56649- 4 1.47969- 2 1.90000+ 1 3.20000+ 1 2.38549- 4 1.48787- 2 1.90000+ 1 3.30000+ 1 3.31830- 4 1.48852- 2 2.10000+ 1 2.10000+ 1 1.75871- 4 1.45320- 2 2.10000+ 1 2.20000+ 1 3.03002- 3 1.45679- 2 2.10000+ 1 2.40000+ 1 5.93606- 5 1.48786- 2 2.10000+ 1 2.50000+ 1 1.87303- 4 1.48877- 2 2.10000+ 1 2.70000+ 1 2.02786- 5 1.49334- 2 2.10000+ 1 2.90000+ 1 1.43788- 5 1.49887- 2 2.10000+ 1 3.00000+ 1 2.72092- 4 1.50328- 2 2.10000+ 1 3.20000+ 1 5.97265- 5 1.51147- 2 2.10000+ 1 3.30000+ 1 4.96636- 4 1.51211- 2 2.20000+ 1 2.20000+ 1 2.10193- 3 1.46038- 2 2.20000+ 1 2.40000+ 1 6.13497- 4 1.49145- 2 2.20000+ 1 2.50000+ 1 5.43837- 4 1.49236- 2 2.20000+ 1 2.70000+ 1 3.68706- 5 1.49693- 2 2.20000+ 1 2.90000+ 1 8.95953- 5 1.50246- 2 2.20000+ 1 3.00000+ 1 3.95611- 4 1.50687- 2 2.20000+ 1 3.20000+ 1 5.20975- 4 1.51506- 2 2.20000+ 1 3.30000+ 1 7.04943- 4 1.51570- 2 2.40000+ 1 2.40000+ 1 2.58070- 6 1.52252- 2 2.40000+ 1 2.50000+ 1 8.25858- 5 1.52344- 2 2.40000+ 1 2.70000+ 1 8.11114- 6 1.52800- 2 2.40000+ 1 2.90000+ 1 8.11114- 6 1.53353- 2 2.40000+ 1 3.00000+ 1 2.17525- 5 1.53794- 2 2.40000+ 1 3.20000+ 1 9.21711- 6 1.54613- 2 2.40000+ 1 3.30000+ 1 9.51199- 5 1.54677- 2 2.50000+ 1 2.50000+ 1 2.91264- 5 1.52435- 2 2.50000+ 1 2.70000+ 1 1.62231- 5 1.52892- 2 2.50000+ 1 2.90000+ 1 1.84343- 5 1.53445- 2 2.50000+ 1 3.00000+ 1 2.80208- 5 1.53886- 2 2.50000+ 1 3.20000+ 1 2.91264- 5 1.54704- 2 2.50000+ 1 3.30000+ 1 8.36974- 5 1.54769- 2 2.70000+ 1 2.70000+ 1 1.17571- 6 1.53348- 2 2.70000+ 1 2.90000+ 1 3.91908- 7 1.53901- 2 2.70000+ 1 3.00000+ 1 4.23264- 5 1.54342- 2 2.70000+ 1 3.20000+ 1 3.52711- 6 1.55161- 2 2.70000+ 1 3.30000+ 1 5.87852- 6 1.55225- 2 2.90000+ 1 3.00000+ 1 6.10349- 5 1.54895- 2 2.90000+ 1 3.20000+ 1 2.75624- 6 1.55714- 2 2.90000+ 1 3.30000+ 1 1.61442- 5 1.55778- 2 3.00000+ 1 3.00000+ 1 7.22557- 5 1.55337- 2 3.00000+ 1 3.20000+ 1 4.97004- 5 1.56155- 2 3.00000+ 1 3.30000+ 1 7.11124- 5 1.56220- 2 3.20000+ 1 3.20000+ 1 5.16180- 6 1.56974- 2 3.20000+ 1 3.30000+ 1 8.55375- 5 1.57038- 2 3.30000+ 1 3.30000+ 1 5.89896- 5 1.57102- 2 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.04640- 5 3.19600- 4 1.10000+ 1 8.97017- 4 1.07040- 3 1.80000+ 1 2.27979- 3 3.86950- 3 1.90000+ 1 1.37560- 3 4.06286- 3 2.90000+ 1 5.76138- 4 4.75551- 3 3.00000+ 1 3.92029- 4 4.79964- 3 4.30000+ 1 1.00620- 4 4.94499- 3 4.40000+ 1 6.58118- 5 4.95235- 3 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.40000+ 1 1.22196- 2 0.00000+ 0 1.00000+ 1 2.50000+ 1 1.29779- 2 0.00000+ 0 1.00000+ 1 2.70000+ 1 1.45439- 2 4.55000- 5 1.00000+ 1 2.90000+ 1 1.51024- 2 1.00810- 4 1.00000+ 1 3.00000+ 1 1.86022- 2 1.44940- 4 1.00000+ 1 3.20000+ 1 1.01785- 2 2.26780- 4 1.00000+ 1 3.30000+ 1 1.33734- 2 2.33220- 4 1.00000+ 1 4.10000+ 1 2.71441- 3 2.74430- 4 1.00000+ 1 4.30000+ 1 2.31982- 3 2.90290- 4 1.00000+ 1 4.40000+ 1 2.68500- 3 2.97650- 4 1.00000+ 1 4.60000+ 1 5.73082- 5 3.15110- 4 1.00000+ 1 4.70000+ 1 6.94870- 5 3.15600- 4 1.00000+ 1 5.80000+ 1 2.95857- 4 3.14190- 4 1.10000+ 1 1.90000+ 1 4.80280- 2 1.58960- 4 1.10000+ 1 2.10000+ 1 1.25386- 2 3.94890- 4 1.10000+ 1 2.20000+ 1 2.75257- 2 4.30780- 4 1.10000+ 1 2.40000+ 1 2.03433- 1 7.41500- 4 1.10000+ 1 2.50000+ 1 2.47563- 1 7.50660- 4 1.10000+ 1 2.70000+ 1 1.18381- 2 7.96300- 4 1.10000+ 1 2.90000+ 1 1.18897- 2 8.51610- 4 1.10000+ 1 3.00000+ 1 1.03892- 2 8.95740- 4 1.10000+ 1 3.20000+ 1 2.41988- 3 9.77580- 4 1.10000+ 1 3.30000+ 1 5.15059- 3 9.84020- 4 1.10000+ 1 4.10000+ 1 2.23068- 3 1.02523- 3 1.10000+ 1 4.30000+ 1 1.87751- 3 1.04109- 3 1.10000+ 1 4.40000+ 1 1.54582- 3 1.04845- 3 1.10000+ 1 4.60000+ 1 1.46145- 5 1.06591- 3 1.10000+ 1 4.70000+ 1 2.83685- 5 1.06640- 3 1.10000+ 1 5.80000+ 1 2.45426- 4 1.06499- 3 1.30000+ 1 1.60000+ 1 2.74473- 2 3.45200- 4 1.30000+ 1 1.80000+ 1 5.82931- 3 4.89900- 4 1.30000+ 1 1.90000+ 1 9.02439- 3 6.83260- 4 1.30000+ 1 2.10000+ 1 9.40606- 3 9.19190- 4 1.30000+ 1 2.20000+ 1 1.13412- 2 9.55080- 4 1.30000+ 1 2.40000+ 1 1.03027- 2 1.26580- 3 1.30000+ 1 2.50000+ 1 9.64197- 3 1.27496- 3 1.30000+ 1 2.70000+ 1 4.17319- 3 1.32060- 3 1.30000+ 1 2.90000+ 1 1.02829- 3 1.37591- 3 1.30000+ 1 3.00000+ 1 1.48888- 3 1.42004- 3 1.30000+ 1 3.20000+ 1 1.34619- 3 1.50188- 3 1.30000+ 1 3.30000+ 1 1.75718- 3 1.50832- 3 1.30000+ 1 4.10000+ 1 7.28570- 4 1.54953- 3 1.30000+ 1 4.30000+ 1 1.60186- 4 1.56539- 3 1.30000+ 1 4.40000+ 1 2.13619- 4 1.57275- 3 1.30000+ 1 4.60000+ 1 8.02343- 6 1.59021- 3 1.30000+ 1 4.70000+ 1 9.59924- 6 1.59070- 3 1.30000+ 1 5.80000+ 1 7.80859- 5 1.58929- 3 1.40000+ 1 1.60000+ 1 3.76364- 2 5.00700- 4 1.40000+ 1 1.80000+ 1 9.16002- 4 6.45400- 4 1.40000+ 1 1.90000+ 1 1.23315- 2 8.38760- 4 1.40000+ 1 2.10000+ 1 1.29248- 2 1.07469- 3 1.40000+ 1 2.20000+ 1 1.78130- 2 1.11058- 3 1.40000+ 1 2.40000+ 1 1.20821- 2 1.42130- 3 1.40000+ 1 2.50000+ 1 1.82891- 2 1.43046- 3 1.40000+ 1 2.70000+ 1 5.63945- 3 1.47610- 3 1.40000+ 1 2.90000+ 1 2.21379- 4 1.53141- 3 1.40000+ 1 3.00000+ 1 2.00708- 3 1.57554- 3 1.40000+ 1 3.20000+ 1 2.04396- 3 1.65738- 3 1.40000+ 1 3.30000+ 1 2.65650- 3 1.66382- 3 1.40000+ 1 4.10000+ 1 9.81190- 4 1.70503- 3 1.40000+ 1 4.30000+ 1 3.72530- 5 1.72089- 3 1.40000+ 1 4.40000+ 1 2.87850- 4 1.72825- 3 1.40000+ 1 4.60000+ 1 1.23226- 5 1.74571- 3 1.40000+ 1 4.70000+ 1 1.44721- 5 1.74620- 3 1.40000+ 1 5.80000+ 1 1.05180- 4 1.74479- 3 1.60000+ 1 1.60000+ 1 2.27709- 3 2.47530- 3 1.60000+ 1 1.80000+ 1 4.03027- 3 2.62000- 3 1.60000+ 1 1.90000+ 1 6.37518- 3 2.81336- 3 1.60000+ 1 2.10000+ 1 7.62136- 3 3.04929- 3 1.60000+ 1 2.20000+ 1 1.05971- 2 3.08518- 3 1.60000+ 1 2.40000+ 1 5.76088- 3 3.39590- 3 1.60000+ 1 2.50000+ 1 7.15654- 3 3.40506- 3 1.60000+ 1 2.70000+ 1 9.00916- 4 3.45070- 3 1.60000+ 1 2.90000+ 1 9.09485- 4 3.50601- 3 1.60000+ 1 3.00000+ 1 1.41356- 3 3.55014- 3 1.60000+ 1 3.20000+ 1 1.31998- 3 3.63198- 3 1.60000+ 1 3.30000+ 1 1.81780- 3 3.63842- 3 1.60000+ 1 4.10000+ 1 1.68248- 4 3.67963- 3 1.60000+ 1 4.30000+ 1 1.47680- 4 3.69549- 3 1.60000+ 1 4.40000+ 1 2.13368- 4 3.70285- 3 1.60000+ 1 4.60000+ 1 7.98240- 6 3.72031- 3 1.60000+ 1 4.70000+ 1 1.01312- 5 3.72080- 3 1.60000+ 1 5.80000+ 1 1.82675- 5 3.71939- 3 1.80000+ 1 1.80000+ 1 1.57804- 4 2.76470- 3 1.80000+ 1 1.90000+ 1 4.95974- 4 2.95806- 3 1.80000+ 1 2.10000+ 1 2.43765- 4 3.19399- 3 1.80000+ 1 2.20000+ 1 1.20190- 4 3.22988- 3 1.80000+ 1 2.40000+ 1 2.53283- 5 3.54060- 3 1.80000+ 1 2.50000+ 1 4.96281- 4 3.54976- 3 1.80000+ 1 2.70000+ 1 6.01258- 4 3.59540- 3 1.80000+ 1 2.90000+ 1 5.15775- 5 3.65071- 3 1.80000+ 1 3.00000+ 1 7.73648- 5 3.69484- 3 1.80000+ 1 3.20000+ 1 3.60729- 5 3.77668- 3 1.80000+ 1 3.30000+ 1 2.57882- 5 3.78312- 3 1.80000+ 1 4.10000+ 1 1.04996- 4 3.82433- 3 1.80000+ 1 4.30000+ 1 7.82846- 6 3.84019- 3 1.80000+ 1 4.40000+ 1 1.10522- 5 3.84755- 3 1.80000+ 1 4.60000+ 1 1.53503- 7 3.86501- 3 1.80000+ 1 4.70000+ 1 1.53503- 7 3.86550- 3 1.80000+ 1 5.80000+ 1 1.12066- 5 3.86409- 3 1.90000+ 1 1.90000+ 1 4.97666- 4 3.15142- 3 1.90000+ 1 2.10000+ 1 6.39224- 4 3.38735- 3 1.90000+ 1 2.20000+ 1 1.43719- 3 3.42324- 3 1.90000+ 1 2.40000+ 1 8.35368- 4 3.73396- 3 1.90000+ 1 2.50000+ 1 1.27642- 3 3.74312- 3 1.90000+ 1 2.70000+ 1 9.55704- 4 3.78876- 3 1.90000+ 1 2.90000+ 1 9.54788- 5 3.84407- 3 1.90000+ 1 3.00000+ 1 1.86050- 4 3.88820- 3 1.90000+ 1 3.20000+ 1 1.08989- 4 3.97004- 3 1.90000+ 1 3.30000+ 1 2.33789- 4 3.97648- 3 1.90000+ 1 4.10000+ 1 1.67323- 4 4.01769- 3 1.90000+ 1 4.30000+ 1 1.50438- 5 4.03355- 3 1.90000+ 1 4.40000+ 1 2.73245- 5 4.04091- 3 1.90000+ 1 4.60000+ 1 6.14001- 7 4.05837- 3 1.90000+ 1 4.70000+ 1 1.22808- 6 4.05886- 3 1.90000+ 1 5.80000+ 1 1.79608- 5 4.05745- 3 2.10000+ 1 2.10000+ 1 9.77834- 5 3.62328- 3 2.10000+ 1 2.20000+ 1 2.78926- 4 3.65917- 3 2.10000+ 1 2.40000+ 1 4.54226- 4 3.96989- 3 2.10000+ 1 2.50000+ 1 2.78820- 3 3.97905- 3 2.10000+ 1 2.70000+ 1 1.11280- 3 4.02469- 3 2.10000+ 1 2.90000+ 1 3.45395- 5 4.08000- 3 2.10000+ 1 3.00000+ 1 1.07916- 4 4.12413- 3 2.10000+ 1 3.20000+ 1 2.65574- 5 4.20597- 3 2.10000+ 1 3.30000+ 1 4.03729- 5 4.21241- 3 2.10000+ 1 4.10000+ 1 1.93261- 4 4.25362- 3 2.10000+ 1 4.30000+ 1 5.06577- 6 4.26948- 3 2.10000+ 1 4.40000+ 1 1.55051- 5 4.27684- 3 2.10000+ 1 4.60000+ 1 1.53506- 7 4.29430- 3 2.10000+ 1 4.70000+ 1 1.53506- 7 4.29479- 3 2.10000+ 1 5.80000+ 1 2.07230- 5 4.29338- 3 2.20000+ 1 2.20000+ 1 2.23965- 4 3.69506- 3 2.20000+ 1 2.40000+ 1 2.49474- 3 4.00578- 3 2.20000+ 1 2.50000+ 1 1.58446- 3 4.01494- 3 2.20000+ 1 2.70000+ 1 1.53994- 3 4.06058- 3 2.20000+ 1 2.90000+ 1 1.94963- 5 4.11589- 3 2.20000+ 1 3.00000+ 1 2.39157- 4 4.16002- 3 2.20000+ 1 3.20000+ 1 3.59201- 5 4.24186- 3 2.20000+ 1 3.30000+ 1 6.27839- 5 4.24830- 3 2.20000+ 1 4.10000+ 1 2.67095- 4 4.28951- 3 2.20000+ 1 4.30000+ 1 3.07010- 6 4.30537- 3 2.20000+ 1 4.40000+ 1 3.42325- 5 4.31273- 3 2.20000+ 1 4.60000+ 1 1.53505- 7 4.33019- 3 2.20000+ 1 4.70000+ 1 3.07010- 7 4.33068- 3 2.20000+ 1 5.80000+ 1 2.85524- 5 4.32927- 3 2.40000+ 1 2.40000+ 1 6.24403- 4 4.31650- 3 2.40000+ 1 2.50000+ 1 4.08844- 3 4.32566- 3 2.40000+ 1 2.70000+ 1 7.56790- 4 4.37130- 3 2.40000+ 1 2.90000+ 1 4.67429- 6 4.42661- 3 2.40000+ 1 3.00000+ 1 9.71057- 5 4.47074- 3 2.40000+ 1 3.20000+ 1 6.92107- 5 4.55258- 3 2.40000+ 1 3.30000+ 1 4.26277- 4 4.55902- 3 2.40000+ 1 4.10000+ 1 1.29376- 4 4.60023- 3 2.40000+ 1 4.30000+ 1 7.53904- 7 4.61609- 3 2.40000+ 1 4.40000+ 1 1.31175- 5 4.62345- 3 2.40000+ 1 4.60000+ 1 4.52358- 7 4.64091- 3 2.40000+ 1 4.70000+ 1 2.41255- 6 4.64140- 3 2.40000+ 1 5.80000+ 1 1.38725- 5 4.63999- 3 2.50000+ 1 2.50000+ 1 1.41042- 3 4.33482- 3 2.50000+ 1 2.70000+ 1 9.34265- 4 4.38046- 3 2.50000+ 1 2.90000+ 1 9.48821- 5 4.43577- 3 2.50000+ 1 3.00000+ 1 1.59442- 4 4.47990- 3 2.50000+ 1 3.20000+ 1 4.62256- 4 4.56174- 3 2.50000+ 1 3.30000+ 1 2.55530- 4 4.56818- 3 2.50000+ 1 4.10000+ 1 1.59742- 4 4.60939- 3 2.50000+ 1 4.30000+ 1 1.50132- 5 4.62525- 3 2.50000+ 1 4.40000+ 1 2.17690- 5 4.63261- 3 2.50000+ 1 4.60000+ 1 2.70232- 6 4.65007- 3 2.50000+ 1 4.70000+ 1 1.35117- 6 4.65056- 3 2.50000+ 1 5.80000+ 1 1.71155- 5 4.64915- 3 2.70000+ 1 2.70000+ 1 8.13390- 5 4.42610- 3 2.70000+ 1 2.90000+ 1 1.35614- 4 4.48141- 3 2.70000+ 1 3.00000+ 1 2.09953- 4 4.52554- 3 2.70000+ 1 3.20000+ 1 1.92164- 4 4.60738- 3 2.70000+ 1 3.30000+ 1 2.63320- 4 4.61382- 3 2.70000+ 1 4.10000+ 1 2.99498- 5 4.65503- 3 2.70000+ 1 4.30000+ 1 2.20445- 5 4.67089- 3 2.70000+ 1 4.40000+ 1 3.17739- 5 4.67825- 3 2.70000+ 1 4.60000+ 1 1.21631- 6 4.69571- 3 2.70000+ 1 4.70000+ 1 1.52032- 6 4.69620- 3 2.70000+ 1 5.80000+ 1 3.19269- 6 4.69479- 3 2.90000+ 1 2.90000+ 1 4.23614- 6 4.53672- 3 2.90000+ 1 3.00000+ 1 1.47480- 5 4.58085- 3 2.90000+ 1 3.20000+ 1 5.17751- 6 4.66269- 3 2.90000+ 1 3.30000+ 1 4.54986- 6 4.66913- 3 2.90000+ 1 4.10000+ 1 2.44762- 5 4.71034- 3 2.90000+ 1 4.30000+ 1 1.25520- 6 4.72620- 3 2.90000+ 1 4.40000+ 1 2.03966- 6 4.73356- 3 2.90000+ 1 5.80000+ 1 2.66721- 6 4.75010- 3 3.00000+ 1 3.00000+ 1 1.71303- 5 4.62498- 3 3.00000+ 1 3.20000+ 1 1.90160- 5 4.70682- 3 3.00000+ 1 3.30000+ 1 4.00747- 5 4.71326- 3 3.00000+ 1 4.10000+ 1 3.80319- 5 4.75447- 3 3.00000+ 1 4.30000+ 1 2.35733- 6 4.77033- 3 3.00000+ 1 4.40000+ 1 5.02899- 6 4.77769- 3 3.00000+ 1 4.60000+ 1 1.57155- 7 4.79515- 3 3.00000+ 1 4.70000+ 1 1.57155- 7 4.79564- 3 3.00000+ 1 5.80000+ 1 4.08606- 6 4.79423- 3 3.20000+ 1 3.20000+ 1 1.66829- 6 4.78866- 3 3.20000+ 1 3.30000+ 1 5.15641- 6 4.79510- 3 3.20000+ 1 4.10000+ 1 3.33657- 5 4.83631- 3 3.20000+ 1 4.30000+ 1 7.58290- 7 4.85217- 3 3.20000+ 1 4.40000+ 1 2.57826- 6 4.85953- 3 3.20000+ 1 5.80000+ 1 3.63993- 6 4.87607- 3 3.30000+ 1 3.30000+ 1 4.29813- 6 4.80154- 3 3.30000+ 1 4.10000+ 1 4.62062- 5 4.84275- 3 3.30000+ 1 4.30000+ 1 7.67520- 7 4.85861- 3 3.30000+ 1 4.40000+ 1 5.67978- 6 4.86597- 3 3.30000+ 1 5.80000+ 1 4.91224- 6 4.88251- 3 4.10000+ 1 4.10000+ 1 2.60431- 6 4.88396- 3 4.10000+ 1 4.30000+ 1 3.61715- 6 4.89982- 3 4.10000+ 1 4.40000+ 1 5.20871- 6 4.90718- 3 4.10000+ 1 4.60000+ 1 1.44686- 7 4.92464- 3 4.10000+ 1 4.70000+ 1 2.89373- 7 4.92513- 3 4.10000+ 1 5.80000+ 1 5.78734- 7 4.92372- 3 4.30000+ 1 4.30000+ 1 1.59415- 7 4.91568- 3 4.30000+ 1 4.40000+ 1 3.18829- 7 4.92304- 3 4.30000+ 1 5.80000+ 1 4.78253- 7 4.93958- 3 4.40000+ 1 4.40000+ 1 3.48104- 7 4.93040- 3 4.40000+ 1 5.80000+ 1 6.96193- 7 4.94694- 3 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.55601- 3 1.27510- 3 1.60000+ 1 9.26383- 4 3.40520- 3 2.10000+ 1 4.73432- 3 3.97919- 3 2.70000+ 1 2.31601- 4 4.38060- 3 3.20000+ 1 1.03140- 3 4.56188- 3 4.10000+ 1 4.58282- 5 4.60953- 3 5.80000+ 1 4.51492- 6 4.64929- 3 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 6.73697- 3 7.52900- 5 1.10000+ 1 2.20000+ 1 1.58698- 2 1.11180- 4 1.10000+ 1 2.40000+ 1 2.85488- 2 4.21900- 4 1.10000+ 1 2.50000+ 1 2.41344- 2 4.31060- 4 1.10000+ 1 2.70000+ 1 3.11796- 3 4.76700- 4 1.10000+ 1 2.90000+ 1 4.33914- 3 5.32010- 4 1.10000+ 1 3.00000+ 1 2.09278- 3 5.76140- 4 1.10000+ 1 3.20000+ 1 1.57842- 3 6.57980- 4 1.10000+ 1 3.30000+ 1 2.94816- 3 6.64420- 4 1.10000+ 1 4.10000+ 1 5.60537- 4 7.05630- 4 1.10000+ 1 4.30000+ 1 6.34322- 4 7.21490- 4 1.10000+ 1 4.40000+ 1 2.96702- 4 7.28850- 4 1.10000+ 1 4.60000+ 1 9.57566- 6 7.46310- 4 1.10000+ 1 4.70000+ 1 1.63458- 5 7.46800- 4 1.10000+ 1 5.80000+ 1 6.04292- 5 7.45390- 4 1.30000+ 1 1.60000+ 1 4.70433- 2 2.56000- 5 1.30000+ 1 1.80000+ 1 4.91276- 2 1.70300- 4 1.30000+ 1 1.90000+ 1 3.67652- 2 3.63660- 4 1.30000+ 1 2.10000+ 1 1.69019- 2 5.99590- 4 1.30000+ 1 2.20000+ 1 2.45440- 2 6.35480- 4 1.30000+ 1 2.40000+ 1 1.47816- 1 9.46200- 4 1.30000+ 1 2.50000+ 1 2.31201- 1 9.55360- 4 1.30000+ 1 2.70000+ 1 1.12850- 2 1.00100- 3 1.30000+ 1 2.90000+ 1 9.15844- 3 1.05631- 3 1.30000+ 1 3.00000+ 1 7.83152- 3 1.10044- 3 1.30000+ 1 3.20000+ 1 3.11105- 3 1.18228- 3 1.30000+ 1 3.30000+ 1 4.56152- 3 1.18872- 3 1.30000+ 1 4.10000+ 1 2.14336- 3 1.22993- 3 1.30000+ 1 4.30000+ 1 1.43689- 3 1.24579- 3 1.30000+ 1 4.40000+ 1 1.16994- 3 1.25315- 3 1.30000+ 1 4.60000+ 1 1.91518- 5 1.27061- 3 1.30000+ 1 4.70000+ 1 2.57571- 5 1.27110- 3 1.30000+ 1 5.80000+ 1 2.30319- 4 1.26969- 3 1.40000+ 1 1.60000+ 1 7.34198- 3 1.81100- 4 1.40000+ 1 1.80000+ 1 5.55937- 2 3.25800- 4 1.40000+ 1 1.90000+ 1 4.59757- 3 5.19160- 4 1.40000+ 1 2.10000+ 1 1.47034- 3 7.55090- 4 1.40000+ 1 2.20000+ 1 2.69046- 3 7.90980- 4 1.40000+ 1 2.40000+ 1 7.28670- 3 1.10170- 3 1.40000+ 1 2.50000+ 1 4.53761- 3 1.11086- 3 1.40000+ 1 2.70000+ 1 1.16044- 3 1.15650- 3 1.40000+ 1 2.90000+ 1 7.94575- 3 1.21181- 3 1.40000+ 1 3.00000+ 1 8.44203- 4 1.25594- 3 1.40000+ 1 3.20000+ 1 1.11609- 4 1.33778- 3 1.40000+ 1 3.30000+ 1 4.22842- 4 1.34422- 3 1.40000+ 1 4.10000+ 1 2.05063- 4 1.38543- 3 1.40000+ 1 4.30000+ 1 1.18019- 3 1.40129- 3 1.40000+ 1 4.40000+ 1 1.23000- 4 1.40865- 3 1.40000+ 1 4.60000+ 1 6.60413- 7 1.42611- 3 1.40000+ 1 4.70000+ 1 2.31152- 6 1.42660- 3 1.40000+ 1 5.80000+ 1 2.19594- 5 1.42519- 3 1.60000+ 1 1.60000+ 1 5.89569- 4 2.15570- 3 1.60000+ 1 1.80000+ 1 9.04049- 3 2.30040- 3 1.60000+ 1 1.90000+ 1 1.14903- 3 2.49376- 3 1.60000+ 1 2.10000+ 1 3.43026- 4 2.72969- 3 1.60000+ 1 2.20000+ 1 1.03969- 3 2.76558- 3 1.60000+ 1 2.40000+ 1 5.94329- 5 3.07630- 3 1.60000+ 1 2.50000+ 1 7.66018- 4 3.08546- 3 1.60000+ 1 2.70000+ 1 2.17197- 4 3.13110- 3 1.60000+ 1 2.90000+ 1 1.27007- 3 3.18641- 3 1.60000+ 1 3.00000+ 1 2.29304- 4 3.23054- 3 1.60000+ 1 3.20000+ 1 4.07222- 5 3.31238- 3 1.60000+ 1 3.30000+ 1 1.60683- 4 3.31882- 3 1.60000+ 1 4.10000+ 1 3.96212- 5 3.36003- 3 1.60000+ 1 4.30000+ 1 1.88943- 4 3.37589- 3 1.60000+ 1 4.40000+ 1 3.37521- 5 3.38325- 3 1.60000+ 1 4.60000+ 1 3.66887- 7 3.40071- 3 1.60000+ 1 4.70000+ 1 7.33732- 7 3.40120- 3 1.60000+ 1 5.80000+ 1 4.40252- 6 3.39979- 3 1.80000+ 1 1.80000+ 1 7.05826- 3 2.44510- 3 1.80000+ 1 1.90000+ 1 1.90631- 2 2.63846- 3 1.80000+ 1 2.10000+ 1 1.93612- 2 2.87439- 3 1.80000+ 1 2.20000+ 1 3.03614- 2 2.91028- 3 1.80000+ 1 2.40000+ 1 1.20633- 2 3.22100- 3 1.80000+ 1 2.50000+ 1 1.98218- 2 3.23016- 3 1.80000+ 1 2.70000+ 1 2.18377- 3 3.27580- 3 1.80000+ 1 2.90000+ 1 2.62748- 3 3.33111- 3 1.80000+ 1 3.00000+ 1 4.18729- 3 3.37524- 3 1.80000+ 1 3.20000+ 1 3.36663- 3 3.45708- 3 1.80000+ 1 3.30000+ 1 5.15525- 3 3.46352- 3 1.80000+ 1 4.10000+ 1 4.20433- 4 3.50473- 3 1.80000+ 1 4.30000+ 1 4.14928- 4 3.52059- 3 1.80000+ 1 4.40000+ 1 6.31011- 4 3.52795- 3 1.80000+ 1 4.60000+ 1 2.01783- 5 3.54541- 3 1.80000+ 1 4.70000+ 1 2.86160- 5 3.54590- 3 1.80000+ 1 5.80000+ 1 4.58576- 5 3.54449- 3 1.90000+ 1 1.90000+ 1 4.88665- 4 2.83182- 3 1.90000+ 1 2.10000+ 1 1.14972- 3 3.06775- 3 1.90000+ 1 2.20000+ 1 1.06059- 3 3.10364- 3 1.90000+ 1 2.40000+ 1 7.90679- 3 3.41436- 3 1.90000+ 1 2.50000+ 1 2.18935- 3 3.42352- 3 1.90000+ 1 2.70000+ 1 1.75726- 4 3.46916- 3 1.90000+ 1 2.90000+ 1 2.73336- 3 3.52447- 3 1.90000+ 1 3.00000+ 1 1.80863- 4 3.56860- 3 1.90000+ 1 3.20000+ 1 1.56285- 4 3.65044- 3 1.90000+ 1 3.30000+ 1 1.61786- 4 3.65688- 3 1.90000+ 1 4.10000+ 1 3.08165- 5 3.69809- 3 1.90000+ 1 4.30000+ 1 4.07935- 4 3.71395- 3 1.90000+ 1 4.40000+ 1 2.64148- 5 3.72131- 3 1.90000+ 1 4.60000+ 1 7.33712- 7 3.73877- 3 1.90000+ 1 4.70000+ 1 7.33712- 7 3.73926- 3 1.90000+ 1 5.80000+ 1 3.30164- 6 3.73785- 3 2.10000+ 1 2.10000+ 1 7.12075- 4 3.30368- 3 2.10000+ 1 2.20000+ 1 1.41900- 3 3.33957- 3 2.10000+ 1 2.40000+ 1 8.10377- 4 3.65029- 3 2.10000+ 1 2.50000+ 1 1.19963- 3 3.65945- 3 2.10000+ 1 2.70000+ 1 7.99759- 5 3.70509- 3 2.10000+ 1 2.90000+ 1 2.69284- 3 3.76040- 3 2.10000+ 1 3.00000+ 1 2.32943- 4 3.80453- 3 2.10000+ 1 3.20000+ 1 2.01032- 4 3.88637- 3 2.10000+ 1 3.30000+ 1 2.21228- 4 3.89281- 3 2.10000+ 1 4.10000+ 1 1.54075- 5 3.93402- 3 2.10000+ 1 4.30000+ 1 3.99498- 4 3.94988- 3 2.10000+ 1 4.40000+ 1 3.48525- 5 3.95724- 3 2.10000+ 1 4.60000+ 1 1.10058- 6 3.97470- 3 2.10000+ 1 4.70000+ 1 1.10058- 6 3.97519- 3 2.10000+ 1 5.80000+ 1 1.46741- 6 3.97378- 3 2.20000+ 1 2.20000+ 1 3.85198- 4 3.37546- 3 2.20000+ 1 2.40000+ 1 1.93957- 3 3.68618- 3 2.20000+ 1 2.50000+ 1 4.79111- 4 3.69534- 3 2.20000+ 1 2.70000+ 1 1.98114- 4 3.74098- 3 2.20000+ 1 2.90000+ 1 4.27376- 3 3.79629- 3 2.20000+ 1 3.00000+ 1 1.78667- 4 3.84042- 3 2.20000+ 1 3.20000+ 1 1.93700- 4 3.92226- 3 2.20000+ 1 3.30000+ 1 1.10424- 4 3.92870- 3 2.20000+ 1 4.10000+ 1 3.63197- 5 3.96991- 3 2.20000+ 1 4.30000+ 1 6.35421- 4 3.98577- 3 2.20000+ 1 4.40000+ 1 2.56786- 5 3.99313- 3 2.20000+ 1 4.60000+ 1 1.10058- 6 4.01059- 3 2.20000+ 1 4.70000+ 1 7.33722- 7 4.01108- 3 2.20000+ 1 5.80000+ 1 4.03554- 6 4.00967- 3 2.40000+ 1 2.40000+ 1 3.14541- 3 3.99690- 3 2.40000+ 1 2.50000+ 1 2.00799- 2 4.00606- 3 2.40000+ 1 2.70000+ 1 9.17173- 6 4.05170- 3 2.40000+ 1 2.90000+ 1 1.54737- 3 4.10701- 3 2.40000+ 1 3.00000+ 1 1.63069- 3 4.15114- 3 2.40000+ 1 3.20000+ 1 1.54455- 4 4.23298- 3 2.40000+ 1 3.30000+ 1 3.93644- 4 4.23942- 3 2.40000+ 1 4.10000+ 1 1.46743- 6 4.28063- 3 2.40000+ 1 4.30000+ 1 2.27814- 4 4.29649- 3 2.40000+ 1 4.40000+ 1 2.42860- 4 4.30385- 3 2.40000+ 1 4.60000+ 1 1.10060- 6 4.32131- 3 2.40000+ 1 4.70000+ 1 2.20115- 6 4.32180- 3 2.50000+ 1 2.50000+ 1 1.04777- 3 4.01522- 3 2.50000+ 1 2.70000+ 1 1.50789- 4 4.06086- 3 2.50000+ 1 2.90000+ 1 2.47936- 3 4.11617- 3 2.50000+ 1 3.00000+ 1 4.00621- 4 4.16030- 3 2.50000+ 1 3.20000+ 1 2.19019- 4 4.24214- 3 2.50000+ 1 3.30000+ 1 8.62130- 5 4.24858- 3 2.50000+ 1 4.10000+ 1 2.78808- 5 4.28979- 3 2.50000+ 1 4.30000+ 1 3.60266- 4 4.30565- 3 2.50000+ 1 4.40000+ 1 5.83319- 5 4.31301- 3 2.50000+ 1 4.60000+ 1 1.46744- 6 4.33047- 3 2.50000+ 1 4.70000+ 1 3.66888- 7 4.33096- 3 2.50000+ 1 5.80000+ 1 2.93501- 6 4.32955- 3 2.70000+ 1 2.70000+ 1 1.98116- 5 4.10650- 3 2.70000+ 1 2.90000+ 1 3.08899- 4 4.16181- 3 2.70000+ 1 3.00000+ 1 3.52193- 5 4.20594- 3 2.70000+ 1 3.20000+ 1 8.80480- 6 4.28778- 3 2.70000+ 1 3.30000+ 1 3.11836- 5 4.29422- 3 2.70000+ 1 4.10000+ 1 7.33730- 6 4.33543- 3 2.70000+ 1 4.30000+ 1 4.58567- 5 4.35129- 3 2.70000+ 1 4.40000+ 1 5.13615- 6 4.35865- 3 2.70000+ 1 5.80000+ 1 7.33730- 7 4.37519- 3 2.90000+ 1 2.90000+ 1 2.28906- 4 4.21712- 3 2.90000+ 1 3.00000+ 1 6.04932- 4 4.26125- 3 2.90000+ 1 3.20000+ 1 4.71056- 4 4.34309- 3 2.90000+ 1 3.30000+ 1 7.30424- 4 4.34953- 3 2.90000+ 1 4.10000+ 1 5.94314- 5 4.39074- 3 2.90000+ 1 4.30000+ 1 7.15378- 5 4.40660- 3 2.90000+ 1 4.40000+ 1 9.13471- 5 4.41396- 3 2.90000+ 1 4.60000+ 1 2.93493- 6 4.43142- 3 2.90000+ 1 4.70000+ 1 4.03549- 6 4.43191- 3 2.90000+ 1 5.80000+ 1 6.60351- 6 4.43050- 3 3.00000+ 1 3.00000+ 1 1.68485- 5 4.30538- 3 3.00000+ 1 3.20000+ 1 3.25722- 5 4.38722- 3 3.00000+ 1 3.30000+ 1 2.77059- 5 4.39366- 3 3.00000+ 1 4.10000+ 1 6.36489- 6 4.43487- 3 3.00000+ 1 4.30000+ 1 9.24786- 5 4.45073- 3 3.00000+ 1 4.40000+ 1 4.86723- 6 4.45809- 3 3.00000+ 1 4.60000+ 1 3.74425- 7 4.47555- 3 3.00000+ 1 5.80000+ 1 7.48808- 7 4.47463- 3 3.20000+ 1 3.20000+ 1 1.35740- 5 4.46906- 3 3.20000+ 1 3.30000+ 1 3.22844- 5 4.47550- 3 3.20000+ 1 4.10000+ 1 1.83428- 6 4.51671- 3 3.20000+ 1 4.30000+ 1 7.00717- 5 4.53257- 3 3.20000+ 1 4.40000+ 1 4.76920- 6 4.53993- 3 3.20000+ 1 5.80000+ 1 3.66884- 7 4.55647- 3 3.30000+ 1 3.30000+ 1 8.95832- 6 4.48194- 3 3.30000+ 1 4.10000+ 1 6.23170- 6 4.52315- 3 3.30000+ 1 4.30000+ 1 1.15288- 4 4.53901- 3 3.30000+ 1 4.40000+ 1 4.28439- 6 4.54637- 3 3.30000+ 1 4.60000+ 1 3.89505- 7 4.56383- 3 3.30000+ 1 5.80000+ 1 7.78966- 7 4.56291- 3 4.10000+ 1 4.10000+ 1 7.39642- 7 4.56436- 3 4.10000+ 1 4.30000+ 1 8.87575- 6 4.58022- 3 4.10000+ 1 4.40000+ 1 7.39642- 7 4.58758- 3 4.30000+ 1 4.30000+ 1 5.03760- 6 4.59608- 3 4.30000+ 1 4.40000+ 1 1.24264- 5 4.60344- 3 4.30000+ 1 4.60000+ 1 3.35865- 7 4.62090- 3 4.30000+ 1 4.70000+ 1 6.71692- 7 4.62139- 3 4.30000+ 1 5.80000+ 1 1.00754- 6 4.61998- 3 4.40000+ 1 4.40000+ 1 3.66881- 7 4.61080- 3 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.39770- 5 5.24300- 4 1.40000+ 1 2.93490- 4 6.79800- 4 1.60000+ 1 1.87550- 3 2.65440- 3 2.10000+ 1 8.93499- 4 3.22839- 3 2.20000+ 1 6.75720- 3 3.26428- 3 2.70000+ 1 4.48810- 4 3.62980- 3 3.20000+ 1 1.75560- 4 3.81108- 3 3.30000+ 1 1.35280- 3 3.81752- 3 4.10000+ 1 8.26399- 5 3.85873- 3 5.80000+ 1 1.05710- 5 3.89849- 3 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 1.59089- 2 1.95400- 4 1.30000+ 1 2.50000+ 1 2.31962- 2 2.04560- 4 1.30000+ 1 2.70000+ 1 3.14369- 3 2.50200- 4 1.30000+ 1 2.90000+ 1 2.93996- 3 3.05510- 4 1.30000+ 1 3.00000+ 1 8.90228- 3 3.49640- 4 1.30000+ 1 3.20000+ 1 1.64122- 3 4.31480- 4 1.30000+ 1 3.30000+ 1 1.80178- 3 4.37920- 4 1.30000+ 1 4.10000+ 1 5.77028- 4 4.79130- 4 1.30000+ 1 4.30000+ 1 4.57663- 4 4.94990- 4 1.30000+ 1 4.40000+ 1 1.26244- 3 5.02350- 4 1.30000+ 1 4.60000+ 1 9.68785- 6 5.19810- 4 1.30000+ 1 4.70000+ 1 9.88164- 6 5.20300- 4 1.30000+ 1 5.80000+ 1 6.21978- 5 5.18890- 4 1.40000+ 1 2.10000+ 1 4.88959- 2 4.29000- 6 1.40000+ 1 2.20000+ 1 6.42728- 2 4.01800- 5 1.40000+ 1 2.40000+ 1 1.91571- 1 3.50900- 4 1.40000+ 1 2.50000+ 1 2.31529- 1 3.60060- 4 1.40000+ 1 2.70000+ 1 1.90568- 2 4.05700- 4 1.40000+ 1 2.90000+ 1 1.97259- 2 4.61010- 4 1.40000+ 1 3.00000+ 1 2.18087- 2 5.05140- 4 1.40000+ 1 3.20000+ 1 6.93003- 3 5.86980- 4 1.40000+ 1 3.30000+ 1 1.00695- 2 5.93420- 4 1.40000+ 1 4.10000+ 1 3.57737- 3 6.34630- 4 1.40000+ 1 4.30000+ 1 3.08321- 3 6.50490- 4 1.40000+ 1 4.40000+ 1 3.17145- 3 6.57850- 4 1.40000+ 1 4.60000+ 1 4.04952- 5 6.75310- 4 1.40000+ 1 4.70000+ 1 5.44469- 5 6.75800- 4 1.40000+ 1 5.80000+ 1 3.93145- 4 6.74390- 4 1.60000+ 1 1.60000+ 1 1.72057- 4 1.40490- 3 1.60000+ 1 1.80000+ 1 4.86908- 4 1.54960- 3 1.60000+ 1 1.90000+ 1 1.10370- 2 1.74296- 3 1.60000+ 1 2.10000+ 1 6.79263- 4 1.97889- 3 1.60000+ 1 2.20000+ 1 8.70039- 4 2.01478- 3 1.60000+ 1 2.40000+ 1 2.18439- 3 2.32550- 3 1.60000+ 1 2.50000+ 1 3.94942- 3 2.33466- 3 1.60000+ 1 2.70000+ 1 6.63259- 5 2.38030- 3 1.60000+ 1 2.90000+ 1 6.94469- 5 2.43561- 3 1.60000+ 1 3.00000+ 1 1.54107- 3 2.47974- 3 1.60000+ 1 3.20000+ 1 1.01050- 4 2.56158- 3 1.60000+ 1 3.30000+ 1 1.25239- 4 2.56802- 3 1.60000+ 1 4.10000+ 1 1.20948- 5 2.60923- 3 1.60000+ 1 4.30000+ 1 1.01440- 5 2.62509- 3 1.60000+ 1 4.40000+ 1 2.14197- 4 2.63245- 3 1.60000+ 1 4.60000+ 1 3.90156- 7 2.64991- 3 1.60000+ 1 4.70000+ 1 7.80293- 7 2.65040- 3 1.60000+ 1 5.80000+ 1 1.17045- 6 2.64899- 3 1.80000+ 1 1.80000+ 1 3.51135- 6 1.69430- 3 1.80000+ 1 1.90000+ 1 1.38816- 2 1.88766- 3 1.80000+ 1 2.10000+ 1 3.09776- 4 2.12359- 3 1.80000+ 1 2.20000+ 1 3.11490- 3 2.15948- 3 1.80000+ 1 2.40000+ 1 1.65619- 3 2.47020- 3 1.80000+ 1 2.50000+ 1 8.52448- 3 2.47936- 3 1.80000+ 1 2.70000+ 1 8.93450- 5 2.52500- 3 1.80000+ 1 2.90000+ 1 1.95068- 6 2.58031- 3 1.80000+ 1 3.00000+ 1 1.98852- 3 2.62444- 3 1.80000+ 1 3.20000+ 1 5.26685- 5 2.70628- 3 1.80000+ 1 3.30000+ 1 4.29559- 4 2.71272- 3 1.80000+ 1 4.10000+ 1 1.59955- 5 2.75393- 3 1.80000+ 1 4.30000+ 1 3.90152- 7 2.76979- 3 1.80000+ 1 4.40000+ 1 2.77785- 4 2.77715- 3 1.80000+ 1 4.60000+ 1 3.90152- 7 2.79461- 3 1.80000+ 1 4.70000+ 1 2.34083- 6 2.79510- 3 1.80000+ 1 5.80000+ 1 1.56056- 6 2.79369- 3 1.90000+ 1 1.90000+ 1 1.77376- 2 2.08102- 3 1.90000+ 1 2.10000+ 1 2.63544- 2 2.31695- 3 1.90000+ 1 2.20000+ 1 3.41990- 2 2.35284- 3 1.90000+ 1 2.40000+ 1 2.45367- 2 2.66356- 3 1.90000+ 1 2.50000+ 1 2.80211- 2 2.67272- 3 1.90000+ 1 2.70000+ 1 2.62203- 3 2.71836- 3 1.90000+ 1 2.90000+ 1 3.04650- 3 2.77367- 3 1.90000+ 1 3.00000+ 1 6.38814- 3 2.81780- 3 1.90000+ 1 3.20000+ 1 4.41380- 3 2.89964- 3 1.90000+ 1 3.30000+ 1 5.72963- 3 2.90608- 3 1.90000+ 1 4.10000+ 1 5.02544- 4 2.94729- 3 1.90000+ 1 4.30000+ 1 4.91615- 4 2.96315- 3 1.90000+ 1 4.40000+ 1 9.34063- 4 2.97051- 3 1.90000+ 1 4.60000+ 1 2.65326- 5 2.98797- 3 1.90000+ 1 4.70000+ 1 3.16056- 5 2.98846- 3 1.90000+ 1 5.80000+ 1 5.46249- 5 2.98705- 3 2.10000+ 1 2.10000+ 1 1.80642- 4 2.55288- 3 2.10000+ 1 2.20000+ 1 4.37585- 3 2.58877- 3 2.10000+ 1 2.40000+ 1 6.96020- 4 2.89949- 3 2.10000+ 1 2.50000+ 1 7.95744- 3 2.90865- 3 2.10000+ 1 2.70000+ 1 8.54412- 5 2.95429- 3 2.10000+ 1 2.90000+ 1 1.91164- 5 3.00960- 3 2.10000+ 1 3.00000+ 1 3.68886- 3 3.05373- 3 2.10000+ 1 3.20000+ 1 4.95507- 5 3.13557- 3 2.10000+ 1 3.30000+ 1 6.41797- 4 3.14201- 3 2.10000+ 1 4.10000+ 1 1.44355- 5 3.18322- 3 2.10000+ 1 4.30000+ 1 2.73083- 6 3.19908- 3 2.10000+ 1 4.40000+ 1 5.12647- 4 3.20644- 3 2.10000+ 1 4.60000+ 1 3.90151- 7 3.22390- 3 2.10000+ 1 4.70000+ 1 3.51133- 6 3.22439- 3 2.10000+ 1 5.80000+ 1 1.56055- 6 3.22298- 3 2.20000+ 1 2.20000+ 1 1.88564- 3 2.62466- 3 2.20000+ 1 2.40000+ 1 6.37767- 3 2.93538- 3 2.20000+ 1 2.50000+ 1 5.25046- 3 2.94454- 3 2.20000+ 1 2.70000+ 1 1.17042- 4 2.99018- 3 2.20000+ 1 2.90000+ 1 3.17595- 4 3.04549- 3 2.20000+ 1 3.00000+ 1 4.72299- 3 3.08962- 3 2.20000+ 1 3.20000+ 1 6.32421- 4 3.17146- 3 2.20000+ 1 3.30000+ 1 5.56748- 4 3.17790- 3 2.20000+ 1 4.10000+ 1 2.02888- 5 3.21911- 3 2.20000+ 1 4.30000+ 1 4.44774- 5 3.23497- 3 2.20000+ 1 4.40000+ 1 6.54670- 4 3.24233- 3 2.20000+ 1 4.60000+ 1 3.51129- 6 3.25979- 3 2.20000+ 1 4.70000+ 1 3.12129- 6 3.26028- 3 2.20000+ 1 5.80000+ 1 2.34079- 6 3.25887- 3 2.40000+ 1 2.40000+ 1 1.07448- 3 3.24610- 3 2.40000+ 1 2.50000+ 1 2.79062- 2 3.25526- 3 2.40000+ 1 2.70000+ 1 2.41894- 4 3.30090- 3 2.40000+ 1 2.90000+ 1 2.96509- 4 3.35621- 3 2.40000+ 1 3.00000+ 1 3.26922- 3 3.40034- 3 2.40000+ 1 3.20000+ 1 1.34992- 4 3.48218- 3 2.40000+ 1 3.30000+ 1 1.00074- 3 3.48862- 3 2.40000+ 1 4.10000+ 1 4.09658- 5 3.52983- 3 2.40000+ 1 4.30000+ 1 4.60383- 5 3.54569- 3 2.40000+ 1 4.40000+ 1 4.51407- 4 3.55305- 3 2.40000+ 1 4.60000+ 1 7.80295- 7 3.57051- 3 2.40000+ 1 4.70000+ 1 5.46226- 6 3.57100- 3 2.40000+ 1 5.80000+ 1 4.29175- 6 3.56959- 3 2.50000+ 1 2.50000+ 1 1.10823- 2 3.26442- 3 2.50000+ 1 2.70000+ 1 4.03787- 4 3.31006- 3 2.50000+ 1 2.90000+ 1 1.50316- 3 3.36537- 3 2.50000+ 1 3.00000+ 1 3.89837- 3 3.40950- 3 2.50000+ 1 3.20000+ 1 1.31672- 3 3.49134- 3 2.50000+ 1 3.30000+ 1 8.98096- 4 3.49778- 3 2.50000+ 1 4.10000+ 1 6.63237- 5 3.53899- 3 2.50000+ 1 4.30000+ 1 2.33689- 4 3.55485- 3 2.50000+ 1 4.40000+ 1 5.44627- 4 3.56221- 3 2.50000+ 1 4.60000+ 1 7.80267- 6 3.57967- 3 2.50000+ 1 4.70000+ 1 5.07172- 6 3.58016- 3 2.50000+ 1 5.80000+ 1 7.02235- 6 3.57875- 3 2.70000+ 1 2.70000+ 1 7.16699- 6 3.35570- 3 2.70000+ 1 2.90000+ 1 1.39360- 5 3.41101- 3 2.70000+ 1 3.00000+ 1 3.75490- 4 3.45514- 3 2.70000+ 1 3.20000+ 1 1.43344- 5 3.53698- 3 2.70000+ 1 3.30000+ 1 1.83163- 5 3.54342- 3 2.70000+ 1 4.10000+ 1 2.78702- 6 3.58463- 3 2.70000+ 1 4.30000+ 1 1.99081- 6 3.60049- 3 2.70000+ 1 4.40000+ 1 5.21603- 5 3.60785- 3 2.70000+ 1 5.80000+ 1 3.98179- 7 3.62439- 3 2.90000+ 1 3.00000+ 1 4.44098- 4 3.51045- 3 2.90000+ 1 3.20000+ 1 2.76301- 6 3.59229- 3 2.90000+ 1 3.30000+ 1 4.69749- 5 3.59873- 3 2.90000+ 1 4.10000+ 1 2.36841- 6 3.63994- 3 2.90000+ 1 4.40000+ 1 6.19757- 5 3.66316- 3 2.90000+ 1 4.70000+ 1 3.94748- 7 3.68111- 3 2.90000+ 1 5.80000+ 1 3.94748- 7 3.67970- 3 3.00000+ 1 3.00000+ 1 5.62451- 4 3.55458- 3 3.00000+ 1 3.20000+ 1 6.39571- 4 3.63642- 3 3.00000+ 1 3.30000+ 1 8.17961- 4 3.64286- 3 3.00000+ 1 4.10000+ 1 7.27140- 5 3.68407- 3 3.00000+ 1 4.30000+ 1 7.31160- 5 3.69993- 3 3.00000+ 1 4.40000+ 1 1.63115- 4 3.70729- 3 3.00000+ 1 4.60000+ 1 4.01746- 6 3.72475- 3 3.00000+ 1 4.70000+ 1 4.41923- 6 3.72524- 3 3.00000+ 1 5.80000+ 1 8.03473- 6 3.72383- 3 3.20000+ 1 3.20000+ 1 3.51130- 6 3.71826- 3 3.20000+ 1 3.30000+ 1 9.98761- 5 3.72470- 3 3.20000+ 1 4.10000+ 1 2.34080- 6 3.76591- 3 3.20000+ 1 4.30000+ 1 3.90147- 7 3.78177- 3 3.20000+ 1 4.40000+ 1 8.62212- 5 3.78913- 3 3.20000+ 1 4.70000+ 1 3.90147- 7 3.80708- 3 3.20000+ 1 5.80000+ 1 3.90147- 7 3.80567- 3 3.30000+ 1 3.30000+ 1 4.33087- 5 3.73114- 3 3.30000+ 1 4.10000+ 1 3.12144- 6 3.77235- 3 3.30000+ 1 4.30000+ 1 6.63274- 6 3.78821- 3 3.30000+ 1 4.40000+ 1 1.10026- 4 3.79557- 3 3.30000+ 1 4.60000+ 1 7.80310- 7 3.81303- 3 3.30000+ 1 4.70000+ 1 3.90164- 7 3.81352- 3 3.30000+ 1 5.80000+ 1 3.90164- 7 3.81211- 3 4.10000+ 1 4.10000+ 1 3.90145- 7 3.81356- 3 4.10000+ 1 4.30000+ 1 3.90145- 7 3.82942- 3 4.10000+ 1 4.40000+ 1 9.75370- 6 3.83678- 3 4.30000+ 1 4.40000+ 1 9.75389- 6 3.85264- 3 4.40000+ 1 4.40000+ 1 1.13142- 5 3.86000- 3 4.40000+ 1 4.60000+ 1 3.90145- 7 3.87746- 3 4.40000+ 1 4.70000+ 1 7.80271- 7 3.87795- 3 4.40000+ 1 5.80000+ 1 1.17042- 6 3.87654- 3 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.18699- 3 2.27480- 3 1.90000+ 1 2.04919- 4 2.46816- 3 2.40000+ 1 4.70577- 2 3.05070- 3 2.90000+ 1 5.30717- 4 3.16081- 3 3.00000+ 1 4.83407- 5 3.20494- 3 4.30000+ 1 7.61155- 5 3.35029- 3 4.40000+ 1 6.71226- 6 3.35765- 3 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.20000+ 1 5.12528- 2 6.26800- 5 1.40000+ 1 3.30000+ 1 7.33769- 3 6.91200- 5 1.40000+ 1 4.10000+ 1 1.01653- 3 1.10330- 4 1.40000+ 1 4.30000+ 1 5.17121- 4 1.26190- 4 1.40000+ 1 4.40000+ 1 1.08409- 3 1.33550- 4 1.40000+ 1 4.60000+ 1 2.97794- 4 1.51010- 4 1.40000+ 1 4.70000+ 1 3.96490- 5 1.51500- 4 1.40000+ 1 5.80000+ 1 1.07982- 4 1.50090- 4 1.60000+ 1 1.60000+ 1 1.26544- 5 8.80600- 4 1.60000+ 1 1.80000+ 1 8.93358- 4 1.02530- 3 1.60000+ 1 1.90000+ 1 7.80327- 4 1.21866- 3 1.60000+ 1 2.10000+ 1 3.00918- 2 1.45459- 3 1.60000+ 1 2.20000+ 1 3.50861- 3 1.49048- 3 1.60000+ 1 2.40000+ 1 1.59274- 2 1.80120- 3 1.60000+ 1 2.50000+ 1 3.88055- 3 1.81036- 3 1.60000+ 1 2.70000+ 1 1.68719- 5 1.85600- 3 1.60000+ 1 2.90000+ 1 1.63659- 4 1.91131- 3 1.60000+ 1 3.00000+ 1 1.12199- 4 1.95544- 3 1.60000+ 1 3.20000+ 1 3.50008- 3 2.03728- 3 1.60000+ 1 3.30000+ 1 4.33603- 4 2.04372- 3 1.60000+ 1 4.10000+ 1 3.37427- 6 2.08493- 3 1.60000+ 1 4.30000+ 1 2.53079- 5 2.10079- 3 1.60000+ 1 4.40000+ 1 1.60286- 5 2.10815- 3 1.60000+ 1 4.60000+ 1 2.02471- 5 2.12561- 3 1.60000+ 1 4.70000+ 1 2.53079- 6 2.12610- 3 1.80000+ 1 1.80000+ 1 4.74099- 4 1.17000- 3 1.80000+ 1 1.90000+ 1 3.67812- 3 1.36336- 3 1.80000+ 1 2.10000+ 1 2.72221- 2 1.59929- 3 1.80000+ 1 2.20000+ 1 1.68047- 3 1.63518- 3 1.80000+ 1 2.40000+ 1 1.12508- 2 1.94590- 3 1.80000+ 1 2.50000+ 1 5.92372- 3 1.95506- 3 1.80000+ 1 2.70000+ 1 1.25703- 4 2.00070- 3 1.80000+ 1 2.90000+ 1 1.72938- 4 2.05601- 3 1.80000+ 1 3.00000+ 1 5.92223- 4 2.10014- 3 1.80000+ 1 3.20000+ 1 3.13414- 3 2.18198- 3 1.80000+ 1 3.30000+ 1 2.37059- 4 2.18842- 3 1.80000+ 1 4.10000+ 1 2.19340- 5 2.22963- 3 1.80000+ 1 4.30000+ 1 2.69959- 5 2.24549- 3 1.80000+ 1 4.40000+ 1 8.43618- 5 2.25285- 3 1.80000+ 1 4.60000+ 1 1.77155- 5 2.27031- 3 1.80000+ 1 4.70000+ 1 1.68722- 6 2.27080- 3 1.80000+ 1 5.80000+ 1 2.53083- 6 2.26939- 3 1.90000+ 1 1.90000+ 1 1.28816- 3 1.55672- 3 1.90000+ 1 2.10000+ 1 5.30117- 2 1.79265- 3 1.90000+ 1 2.20000+ 1 2.01786- 3 1.82854- 3 1.90000+ 1 2.40000+ 1 2.41352- 3 2.13926- 3 1.90000+ 1 2.50000+ 1 1.81042- 3 2.14842- 3 1.90000+ 1 2.70000+ 1 1.40037- 4 2.19406- 3 1.90000+ 1 2.90000+ 1 5.05305- 4 2.24937- 3 1.90000+ 1 3.00000+ 1 3.95646- 4 2.29350- 3 1.90000+ 1 3.20000+ 1 6.17097- 3 2.37534- 3 1.90000+ 1 3.30000+ 1 2.62355- 4 2.38178- 3 1.90000+ 1 4.10000+ 1 2.53080- 5 2.42299- 3 1.90000+ 1 4.30000+ 1 7.50815- 5 2.43885- 3 1.90000+ 1 4.40000+ 1 5.65198- 5 2.44621- 3 1.90000+ 1 4.60000+ 1 3.54294- 5 2.46367- 3 1.90000+ 1 4.70000+ 1 1.68720- 6 2.46416- 3 1.90000+ 1 5.80000+ 1 2.53080- 6 2.46275- 3 2.10000+ 1 2.10000+ 1 4.86928- 2 2.02858- 3 2.10000+ 1 2.20000+ 1 9.56860- 2 2.06447- 3 2.10000+ 1 2.40000+ 1 5.65891- 2 2.37519- 3 2.10000+ 1 2.50000+ 1 6.72456- 2 2.38435- 3 2.10000+ 1 2.70000+ 1 6.52267- 3 2.42999- 3 2.10000+ 1 2.90000+ 1 6.02660- 3 2.48530- 3 2.10000+ 1 3.00000+ 1 1.13014- 2 2.52943- 3 2.10000+ 1 3.20000+ 1 1.39424- 2 2.61127- 3 2.10000+ 1 3.30000+ 1 1.58354- 2 2.61771- 3 2.10000+ 1 4.10000+ 1 1.23500- 3 2.65892- 3 2.10000+ 1 4.30000+ 1 9.74321- 4 2.67478- 3 2.10000+ 1 4.40000+ 1 1.69307- 3 2.68214- 3 2.10000+ 1 4.60000+ 1 8.26722- 5 2.69960- 3 2.10000+ 1 4.70000+ 1 8.68917- 5 2.70009- 3 2.10000+ 1 5.80000+ 1 1.34136- 4 2.69868- 3 2.20000+ 1 2.20000+ 1 1.51508- 3 2.10036- 3 2.20000+ 1 2.40000+ 1 6.59051- 2 2.41108- 3 2.20000+ 1 2.50000+ 1 3.16499- 3 2.42024- 3 2.20000+ 1 2.70000+ 1 3.87217- 4 2.46588- 3 2.20000+ 1 2.90000+ 1 2.18496- 4 2.52119- 3 2.20000+ 1 3.00000+ 1 3.44189- 4 2.56532- 3 2.20000+ 1 3.20000+ 1 1.11913- 2 2.64716- 3 2.20000+ 1 3.30000+ 1 4.09143- 4 2.65360- 3 2.20000+ 1 4.10000+ 1 6.49566- 5 2.69481- 3 2.20000+ 1 4.30000+ 1 3.29000- 5 2.71067- 3 2.20000+ 1 4.40000+ 1 4.97721- 5 2.71803- 3 2.20000+ 1 4.60000+ 1 6.41133- 5 2.73549- 3 2.20000+ 1 4.70000+ 1 2.53083- 6 2.73598- 3 2.20000+ 1 5.80000+ 1 6.74895- 6 2.73457- 3 2.40000+ 1 2.40000+ 1 6.46092- 2 2.72180- 3 2.40000+ 1 2.50000+ 1 1.85676- 1 2.73096- 3 2.40000+ 1 2.70000+ 1 3.67047- 3 2.77660- 3 2.40000+ 1 2.90000+ 1 2.00023- 3 2.83191- 3 2.40000+ 1 3.00000+ 1 5.32325- 4 2.87604- 3 2.40000+ 1 3.20000+ 1 7.23289- 3 2.95788- 3 2.40000+ 1 3.30000+ 1 1.03817- 2 2.96432- 3 2.40000+ 1 4.10000+ 1 7.00192- 4 3.00553- 3 2.40000+ 1 4.30000+ 1 3.17183- 4 3.02139- 3 2.40000+ 1 4.40000+ 1 8.01419- 5 3.02875- 3 2.40000+ 1 4.60000+ 1 4.21792- 5 3.04621- 3 2.40000+ 1 4.70000+ 1 5.73637- 5 3.04670- 3 2.40000+ 1 5.80000+ 1 7.84553- 5 3.04529- 3 2.50000+ 1 2.50000+ 1 4.18222- 3 2.74012- 3 2.50000+ 1 2.70000+ 1 6.81780- 4 2.78576- 3 2.50000+ 1 2.90000+ 1 5.88582- 4 2.84107- 3 2.50000+ 1 3.00000+ 1 3.78358- 4 2.88520- 3 2.50000+ 1 3.20000+ 1 7.79953- 3 2.96704- 3 2.50000+ 1 3.30000+ 1 5.04478- 4 2.97348- 3 2.50000+ 1 4.10000+ 1 1.20638- 4 3.01469- 3 2.50000+ 1 4.30000+ 1 8.31674- 5 3.03055- 3 2.50000+ 1 4.40000+ 1 5.57498- 5 3.03791- 3 2.50000+ 1 4.60000+ 1 4.38676- 5 3.05537- 3 2.50000+ 1 4.70000+ 1 2.74177- 6 3.05586- 3 2.50000+ 1 5.80000+ 1 1.27947- 5 3.05445- 3 2.70000+ 1 2.70000+ 1 1.70460- 6 2.83140- 3 2.70000+ 1 2.90000+ 1 2.64220- 5 2.88671- 3 2.70000+ 1 3.00000+ 1 2.13079- 5 2.93084- 3 2.70000+ 1 3.20000+ 1 7.72191- 4 3.01268- 3 2.70000+ 1 3.30000+ 1 5.36948- 5 3.01912- 3 2.70000+ 1 4.10000+ 1 8.52308- 7 3.06033- 3 2.70000+ 1 4.30000+ 1 4.26139- 6 3.07619- 3 2.70000+ 1 4.40000+ 1 3.40909- 6 3.08355- 3 2.70000+ 1 4.60000+ 1 4.26139- 6 3.10101- 3 2.90000+ 1 2.90000+ 1 1.74266- 5 2.94202- 3 2.90000+ 1 3.00000+ 1 9.06181- 5 2.98615- 3 2.90000+ 1 3.20000+ 1 7.20582- 4 3.06799- 3 2.90000+ 1 3.30000+ 1 3.65942- 5 3.07443- 3 2.90000+ 1 4.10000+ 1 5.22788- 6 3.11564- 3 2.90000+ 1 4.30000+ 1 5.22788- 6 3.13150- 3 2.90000+ 1 4.40000+ 1 1.30705- 5 3.13886- 3 2.90000+ 1 4.60000+ 1 4.35655- 6 3.15632- 3 2.90000+ 1 5.80000+ 1 8.71340- 7 3.15540- 3 3.00000+ 1 3.00000+ 1 3.28736- 5 3.03028- 3 3.00000+ 1 3.20000+ 1 1.39574- 3 3.11212- 3 3.00000+ 1 3.30000+ 1 4.97534- 5 3.11856- 3 3.00000+ 1 4.10000+ 1 4.44215- 6 3.15977- 3 3.00000+ 1 4.30000+ 1 1.42155- 5 3.17563- 3 3.00000+ 1 4.40000+ 1 9.77306- 6 3.18299- 3 3.00000+ 1 4.60000+ 1 7.99616- 6 3.20045- 3 3.20000+ 1 3.20000+ 1 9.60840- 4 3.19396- 3 3.20000+ 1 3.30000+ 1 1.86439- 3 3.20040- 3 3.20000+ 1 4.10000+ 1 1.45098- 4 3.24161- 3 3.20000+ 1 4.30000+ 1 1.13042- 4 3.25747- 3 3.20000+ 1 4.40000+ 1 1.99089- 4 3.26483- 3 3.20000+ 1 4.60000+ 1 1.09669- 5 3.28229- 3 3.20000+ 1 4.70000+ 1 1.01237- 5 3.28278- 3 3.20000+ 1 5.80000+ 1 1.60287- 5 3.28137- 3 3.30000+ 1 3.30000+ 1 5.82400- 5 3.20684- 3 3.30000+ 1 4.10000+ 1 1.94135- 5 3.24805- 3 3.30000+ 1 4.30000+ 1 1.05888- 5 3.26391- 3 3.30000+ 1 4.40000+ 1 1.41189- 5 3.27127- 3 3.30000+ 1 4.60000+ 1 2.29431- 5 3.28873- 3 3.30000+ 1 5.80000+ 1 1.76486- 6 3.28781- 3 4.10000+ 1 4.30000+ 1 8.43628- 7 3.30512- 3 4.10000+ 1 4.40000+ 1 8.43628- 7 3.31248- 3 4.10000+ 1 4.60000+ 1 8.43628- 7 3.32994- 3 4.30000+ 1 4.40000+ 1 1.68725- 6 3.32834- 3 4.30000+ 1 4.60000+ 1 8.43633- 7 3.34580- 3 4.40000+ 1 4.40000+ 1 8.43595- 7 3.33570- 3 4.40000+ 1 4.60000+ 1 8.43595- 7 3.35316- 3 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.53950- 3 2.31266- 3 2.40000+ 1 2.26960- 3 2.89520- 3 2.50000+ 1 4.44190- 2 2.90436- 3 3.00000+ 1 3.59920- 4 3.04944- 3 4.40000+ 1 5.01001- 5 3.20215- 3 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 5.09452- 6 7.25100- 4 1.60000+ 1 1.80000+ 1 2.44546- 4 8.69800- 4 1.60000+ 1 1.90000+ 1 1.69487- 3 1.06316- 3 1.60000+ 1 2.10000+ 1 3.18413- 3 1.29909- 3 1.60000+ 1 2.20000+ 1 3.30305- 2 1.33498- 3 1.60000+ 1 2.40000+ 1 4.17522- 3 1.64570- 3 1.60000+ 1 2.50000+ 1 1.66800- 2 1.65486- 3 1.60000+ 1 2.70000+ 1 1.18876- 5 1.70050- 3 1.60000+ 1 2.90000+ 1 1.69814- 5 1.75581- 3 1.60000+ 1 3.00000+ 1 2.51339- 4 1.79994- 3 1.60000+ 1 3.20000+ 1 3.63420- 4 1.88178- 3 1.60000+ 1 3.30000+ 1 3.81917- 3 1.88822- 3 1.60000+ 1 4.10000+ 1 2.54740- 6 1.92943- 3 1.60000+ 1 4.30000+ 1 2.54740- 6 1.94529- 3 1.60000+ 1 4.40000+ 1 3.48127- 5 1.95265- 3 1.60000+ 1 4.60000+ 1 1.69814- 6 1.97011- 3 1.60000+ 1 4.70000+ 1 2.03793- 5 1.97060- 3 1.80000+ 1 1.80000+ 1 3.39637- 6 1.01450- 3 1.80000+ 1 1.90000+ 1 4.94951- 3 1.20786- 3 1.80000+ 1 2.10000+ 1 2.40300- 4 1.44379- 3 1.80000+ 1 2.20000+ 1 3.40787- 2 1.47968- 3 1.80000+ 1 2.40000+ 1 2.27903- 3 1.79040- 3 1.80000+ 1 2.50000+ 1 9.68003- 3 1.79956- 3 1.80000+ 1 2.70000+ 1 3.22658- 5 1.84520- 3 1.80000+ 1 2.90000+ 1 1.69814- 6 1.90051- 3 1.80000+ 1 3.00000+ 1 7.34477- 4 1.94464- 3 1.80000+ 1 3.20000+ 1 6.79304- 6 2.02648- 3 1.80000+ 1 3.30000+ 1 3.93908- 3 2.03292- 3 1.80000+ 1 4.10000+ 1 5.94368- 6 2.07413- 3 1.80000+ 1 4.40000+ 1 1.03592- 4 2.09735- 3 1.80000+ 1 4.70000+ 1 2.03793- 5 2.11530- 3 1.80000+ 1 5.80000+ 1 8.49118- 7 2.11389- 3 1.90000+ 1 1.90000+ 1 3.14604- 3 1.40122- 3 1.90000+ 1 2.10000+ 1 3.10261- 3 1.63715- 3 1.90000+ 1 2.20000+ 1 4.99494- 2 1.67304- 3 1.90000+ 1 2.40000+ 1 2.07353- 3 1.98376- 3 1.90000+ 1 2.50000+ 1 3.51707- 3 1.99292- 3 1.90000+ 1 2.70000+ 1 3.18413- 4 2.03856- 3 1.90000+ 1 2.90000+ 1 6.35993- 4 2.09387- 3 1.90000+ 1 3.00000+ 1 9.58681- 4 2.13800- 3 1.90000+ 1 3.20000+ 1 4.44925- 4 2.21984- 3 1.90000+ 1 3.30000+ 1 5.74165- 3 2.22628- 3 1.90000+ 1 4.10000+ 1 5.85878- 5 2.26749- 3 1.90000+ 1 4.30000+ 1 9.42515- 5 2.28335- 3 1.90000+ 1 4.40000+ 1 1.35855- 4 2.29071- 3 1.90000+ 1 4.60000+ 1 2.54740- 6 2.30817- 3 1.90000+ 1 4.70000+ 1 3.05688- 5 2.30866- 3 1.90000+ 1 5.80000+ 1 5.94368- 6 2.30725- 3 2.10000+ 1 2.10000+ 1 6.80140- 4 1.87308- 3 2.10000+ 1 2.20000+ 1 7.05510- 2 1.90897- 3 2.10000+ 1 2.40000+ 1 2.86484- 3 2.21969- 3 2.10000+ 1 2.50000+ 1 3.96055- 2 2.22885- 3 2.10000+ 1 2.70000+ 1 3.28615- 4 2.27449- 3 2.10000+ 1 2.90000+ 1 6.19849- 5 2.32980- 3 2.10000+ 1 3.00000+ 1 4.78056- 4 2.37393- 3 2.10000+ 1 3.20000+ 1 1.77469- 4 2.45577- 3 2.10000+ 1 3.30000+ 1 8.22083- 3 2.46221- 3 2.10000+ 1 4.10000+ 1 5.43424- 5 2.50342- 3 2.10000+ 1 4.30000+ 1 9.34014- 6 2.51928- 3 2.10000+ 1 4.40000+ 1 6.79297- 5 2.52664- 3 2.10000+ 1 4.60000+ 1 8.49109- 7 2.54410- 3 2.10000+ 1 4.70000+ 1 4.33029- 5 2.54459- 3 2.10000+ 1 5.80000+ 1 5.94361- 6 2.54318- 3 2.20000+ 1 2.20000+ 1 7.81799- 2 1.94486- 3 2.20000+ 1 2.40000+ 1 6.22192- 2 2.25558- 3 2.20000+ 1 2.50000+ 1 1.00080- 1 2.26474- 3 2.20000+ 1 2.70000+ 1 6.81579- 3 2.31038- 3 2.20000+ 1 2.90000+ 1 7.19118- 3 2.36569- 3 2.20000+ 1 3.00000+ 1 1.07449- 2 2.40982- 3 2.20000+ 1 3.20000+ 1 1.16524- 2 2.49166- 3 2.20000+ 1 3.30000+ 1 2.20492- 2 2.49810- 3 2.20000+ 1 4.10000+ 1 1.28386- 3 2.53931- 3 2.20000+ 1 4.30000+ 1 1.15314- 3 2.55517- 3 2.20000+ 1 4.40000+ 1 1.61244- 3 2.56253- 3 2.20000+ 1 4.60000+ 1 6.96278- 5 2.57999- 3 2.20000+ 1 4.70000+ 1 1.19728- 4 2.58048- 3 2.20000+ 1 5.80000+ 1 1.39255- 4 2.57907- 3 2.40000+ 1 2.40000+ 1 5.34847- 3 2.56630- 3 2.40000+ 1 2.50000+ 1 1.70229- 1 2.57546- 3 2.40000+ 1 2.70000+ 1 7.44676- 4 2.62110- 3 2.40000+ 1 2.90000+ 1 4.44068- 4 2.67641- 3 2.40000+ 1 3.00000+ 1 3.75299- 4 2.72054- 3 2.40000+ 1 3.20000+ 1 4.56812- 4 2.80238- 3 2.40000+ 1 3.30000+ 1 6.84882- 3 2.80882- 3 2.40000+ 1 4.10000+ 1 1.35011- 4 2.85003- 3 2.40000+ 1 4.30000+ 1 7.04757- 5 2.86589- 3 2.40000+ 1 4.40000+ 1 5.51925- 5 2.87325- 3 2.40000+ 1 4.60000+ 1 2.54738- 6 2.89071- 3 2.40000+ 1 4.70000+ 1 3.56604- 5 2.89120- 3 2.40000+ 1 5.80000+ 1 1.44353- 5 2.88979- 3 2.50000+ 1 2.50000+ 1 1.16290- 1 2.58462- 3 2.50000+ 1 2.70000+ 1 3.77899- 3 2.63026- 3 2.50000+ 1 2.90000+ 1 2.08106- 3 2.68557- 3 2.50000+ 1 3.00000+ 1 7.26789- 4 2.72970- 3 2.50000+ 1 3.20000+ 1 6.09964- 3 2.81154- 3 2.50000+ 1 3.30000+ 1 1.31325- 2 2.81798- 3 2.50000+ 1 4.10000+ 1 7.20016- 4 2.85919- 3 2.50000+ 1 4.30000+ 1 3.35373- 4 2.87505- 3 2.50000+ 1 4.40000+ 1 1.08684- 4 2.88241- 3 2.50000+ 1 4.60000+ 1 3.65105- 5 2.89987- 3 2.50000+ 1 4.70000+ 1 7.04724- 5 2.90036- 3 2.50000+ 1 5.80000+ 1 7.98116- 5 2.89895- 3 2.70000+ 1 2.70000+ 1 8.83417- 7 2.67590- 3 2.70000+ 1 2.90000+ 1 1.76674- 6 2.73121- 3 2.70000+ 1 3.00000+ 1 5.12364- 5 2.77534- 3 2.70000+ 1 3.20000+ 1 4.41692- 5 2.85718- 3 2.70000+ 1 3.30000+ 1 8.26871- 4 2.86362- 3 2.70000+ 1 4.40000+ 1 7.06743- 6 2.92805- 3 2.70000+ 1 4.70000+ 1 4.41692- 6 2.94600- 3 2.90000+ 1 3.00000+ 1 1.02951- 4 2.83065- 3 2.90000+ 1 3.20000+ 1 3.46054- 6 2.91249- 3 2.90000+ 1 3.30000+ 1 8.59945- 4 2.91893- 3 2.90000+ 1 4.40000+ 1 1.47081- 5 2.98336- 3 2.90000+ 1 4.70000+ 1 4.32564- 6 3.00131- 3 3.00000+ 1 3.00000+ 1 7.68666- 5 2.87478- 3 3.00000+ 1 3.20000+ 1 7.59833- 5 2.95662- 3 3.00000+ 1 3.30000+ 1 1.29081- 3 2.96306- 3 3.00000+ 1 4.10000+ 1 9.71886- 6 3.00427- 3 3.00000+ 1 4.30000+ 1 1.59029- 5 3.02013- 3 3.00000+ 1 4.40000+ 1 2.20887- 5 3.02749- 3 3.00000+ 1 4.60000+ 1 8.83538- 7 3.04495- 3 3.00000+ 1 4.70000+ 1 7.06840- 6 3.04544- 3 3.00000+ 1 5.80000+ 1 8.83538- 7 3.04403- 3 3.20000+ 1 3.20000+ 1 1.10386- 5 3.03846- 3 3.20000+ 1 3.30000+ 1 1.36709- 3 3.04490- 3 3.20000+ 1 4.10000+ 1 6.79310- 6 3.08611- 3 3.20000+ 1 4.30000+ 1 8.49126- 7 3.10197- 3 3.20000+ 1 4.40000+ 1 1.01896- 5 3.10933- 3 3.20000+ 1 4.70000+ 1 6.79310- 6 3.12728- 3 3.20000+ 1 5.80000+ 1 8.49126- 7 3.12587- 3 3.30000+ 1 3.30000+ 1 1.50285- 3 3.05134- 3 3.30000+ 1 4.10000+ 1 1.49442- 4 3.09255- 3 3.30000+ 1 4.30000+ 1 1.35854- 4 3.10841- 3 3.30000+ 1 4.40000+ 1 1.86803- 4 3.11577- 3 3.30000+ 1 4.60000+ 1 8.49114- 6 3.13323- 3 3.30000+ 1 4.70000+ 1 1.61333- 5 3.13372- 3 3.30000+ 1 5.80000+ 1 1.61333- 5 3.13231- 3 4.10000+ 1 4.40000+ 1 1.69810- 6 3.15698- 3 4.10000+ 1 4.70000+ 1 8.49099- 7 3.17493- 3 4.30000+ 1 4.40000+ 1 2.54739- 6 3.17284- 3 4.30000+ 1 4.70000+ 1 8.49114- 7 3.19079- 3 4.40000+ 1 4.40000+ 1 1.69810- 6 3.18020- 3 4.40000+ 1 4.70000+ 1 8.49099- 7 3.19815- 3 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.57767- 5 1.44700- 4 1.90000+ 1 4.13877- 4 3.38060- 4 2.90000+ 1 2.86614- 4 1.03071- 3 3.00000+ 1 7.87333- 5 1.07484- 3 4.30000+ 1 5.59176- 5 1.22019- 3 4.40000+ 1 1.77760- 5 1.22755- 3 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.20000+ 1 6.56574- 2 5.18800- 5 1.80000+ 1 3.30000+ 1 1.03792- 1 5.83200- 5 1.80000+ 1 4.10000+ 1 9.05271- 3 9.95300- 5 1.80000+ 1 4.30000+ 1 7.15050- 3 1.15390- 4 1.80000+ 1 4.40000+ 1 1.03049- 2 1.22750- 4 1.80000+ 1 4.60000+ 1 3.26234- 4 1.40210- 4 1.80000+ 1 4.70000+ 1 4.72689- 4 1.40700- 4 1.80000+ 1 5.80000+ 1 9.62054- 4 1.39290- 4 1.90000+ 1 2.40000+ 1 1.04132- 2 9.16000- 6 1.90000+ 1 2.50000+ 1 3.04998- 2 1.83200- 5 1.90000+ 1 2.70000+ 1 4.25549- 2 6.39600- 5 1.90000+ 1 2.90000+ 1 5.07776- 2 1.19270- 4 1.90000+ 1 3.00000+ 1 4.78068- 2 1.63400- 4 1.90000+ 1 3.20000+ 1 4.27136- 2 2.45240- 4 1.90000+ 1 3.30000+ 1 5.31390- 2 2.51680- 4 1.90000+ 1 4.10000+ 1 7.98193- 3 2.92890- 4 1.90000+ 1 4.30000+ 1 7.75201- 3 3.08750- 4 1.90000+ 1 4.40000+ 1 7.15826- 3 3.16110- 4 1.90000+ 1 4.60000+ 1 2.38965- 4 3.33570- 4 1.90000+ 1 4.70000+ 1 2.81042- 4 3.34060- 4 1.90000+ 1 5.80000+ 1 8.60648- 4 3.32650- 4 2.10000+ 1 2.40000+ 1 4.08386- 3 2.45090- 4 2.10000+ 1 2.50000+ 1 5.54764- 3 2.54250- 4 2.10000+ 1 2.70000+ 1 1.77553- 2 2.99890- 4 2.10000+ 1 2.90000+ 1 6.10074- 3 3.55200- 4 2.10000+ 1 3.00000+ 1 6.65939- 3 3.99330- 4 2.10000+ 1 3.20000+ 1 2.12196- 3 4.81170- 4 2.10000+ 1 3.30000+ 1 2.79167- 3 4.87610- 4 2.10000+ 1 4.10000+ 1 2.46388- 3 5.28820- 4 2.10000+ 1 4.30000+ 1 9.27500- 4 5.44680- 4 2.10000+ 1 4.40000+ 1 8.24091- 4 5.52040- 4 2.10000+ 1 4.60000+ 1 1.16918- 5 5.69500- 4 2.10000+ 1 4.70000+ 1 1.46536- 5 5.69990- 4 2.10000+ 1 5.80000+ 1 2.56280- 4 5.68580- 4 2.20000+ 1 2.40000+ 1 6.43231- 3 2.80980- 4 2.20000+ 1 2.50000+ 1 7.38587- 3 2.90140- 4 2.20000+ 1 2.70000+ 1 2.48065- 2 3.35780- 4 2.20000+ 1 2.90000+ 1 9.80855- 3 3.91090- 4 2.20000+ 1 3.00000+ 1 7.70756- 3 4.35220- 4 2.20000+ 1 3.20000+ 1 2.22134- 3 5.17060- 4 2.20000+ 1 3.30000+ 1 3.33134- 3 5.23500- 4 2.20000+ 1 4.10000+ 1 3.41897- 3 5.64710- 4 2.20000+ 1 4.30000+ 1 1.31953- 3 5.80570- 4 2.20000+ 1 4.40000+ 1 1.06250- 3 5.87930- 4 2.20000+ 1 4.60000+ 1 1.25707- 5 6.05390- 4 2.20000+ 1 4.70000+ 1 1.73818- 5 6.05880- 4 2.20000+ 1 5.80000+ 1 3.55085- 4 6.04470- 4 2.40000+ 1 2.40000+ 1 9.31328- 3 5.91700- 4 2.40000+ 1 2.50000+ 1 1.78035- 2 6.00860- 4 2.40000+ 1 2.70000+ 1 2.15029- 2 6.46500- 4 2.40000+ 1 2.90000+ 1 3.00706- 3 7.01810- 4 2.40000+ 1 3.00000+ 1 1.22647- 2 7.45940- 4 2.40000+ 1 3.20000+ 1 1.17415- 3 8.27780- 4 2.40000+ 1 3.30000+ 1 7.57012- 4 8.34220- 4 2.40000+ 1 4.10000+ 1 2.55435- 3 8.75430- 4 2.40000+ 1 4.30000+ 1 3.68059- 4 8.91290- 4 2.40000+ 1 4.40000+ 1 1.43336- 3 8.98650- 4 2.40000+ 1 4.60000+ 1 6.64452- 6 9.16110- 4 2.40000+ 1 4.70000+ 1 3.86297- 6 9.16600- 4 2.40000+ 1 5.80000+ 1 2.58513- 4 9.15190- 4 2.50000+ 1 2.50000+ 1 1.54046- 2 6.10020- 4 2.50000+ 1 2.70000+ 1 2.78567- 2 6.55660- 4 2.50000+ 1 2.90000+ 1 1.48421- 3 7.10970- 4 2.50000+ 1 3.00000+ 1 1.32645- 2 7.55100- 4 2.50000+ 1 3.20000+ 1 6.90469- 4 8.36940- 4 2.50000+ 1 3.30000+ 1 1.68882- 3 8.43380- 4 2.50000+ 1 4.10000+ 1 3.29729- 3 8.84590- 4 2.50000+ 1 4.30000+ 1 1.76826- 4 9.00450- 4 2.50000+ 1 4.40000+ 1 1.48899- 3 9.07810- 4 2.50000+ 1 4.60000+ 1 4.01882- 6 9.25270- 4 2.50000+ 1 4.70000+ 1 8.65606- 6 9.25760- 4 2.50000+ 1 5.80000+ 1 3.33402- 4 9.24350- 4 2.70000+ 1 2.70000+ 1 1.64096- 2 7.01300- 4 2.70000+ 1 2.90000+ 1 2.41244- 2 7.56610- 4 2.70000+ 1 3.00000+ 1 3.81939- 2 8.00740- 4 2.70000+ 1 3.20000+ 1 3.63041- 2 8.82580- 4 2.70000+ 1 3.30000+ 1 5.02640- 2 8.89020- 4 2.70000+ 1 4.10000+ 1 5.15806- 3 9.30230- 4 2.70000+ 1 4.30000+ 1 3.90391- 3 9.46090- 4 2.70000+ 1 4.40000+ 1 5.71336- 3 9.53450- 4 2.70000+ 1 4.60000+ 1 2.19891- 4 9.70910- 4 2.70000+ 1 4.70000+ 1 2.79520- 4 9.71400- 4 2.70000+ 1 5.80000+ 1 5.47858- 4 9.69990- 4 2.90000+ 1 2.90000+ 1 1.90571- 3 8.11920- 4 2.90000+ 1 3.00000+ 1 8.41108- 3 8.56050- 4 2.90000+ 1 3.20000+ 1 3.33822- 3 9.37890- 4 2.90000+ 1 3.30000+ 1 2.42392- 3 9.44330- 4 2.90000+ 1 4.10000+ 1 2.91964- 3 9.85540- 4 2.90000+ 1 4.30000+ 1 5.05058- 4 1.00140- 3 2.90000+ 1 4.40000+ 1 9.57519- 4 1.00876- 3 2.90000+ 1 4.60000+ 1 1.87755- 5 1.02622- 3 2.90000+ 1 4.70000+ 1 1.12650- 5 1.02671- 3 2.90000+ 1 5.80000+ 1 2.96656- 4 1.02530- 3 3.00000+ 1 3.00000+ 1 5.11695- 3 9.00180- 4 3.00000+ 1 3.20000+ 1 2.46619- 3 9.82020- 4 3.00000+ 1 3.30000+ 1 5.61463- 3 9.88460- 4 3.00000+ 1 4.10000+ 1 4.77023- 3 1.02967- 3 3.00000+ 1 4.30000+ 1 1.20233- 3 1.04553- 3 3.00000+ 1 4.40000+ 1 1.33838- 3 1.05289- 3 3.00000+ 1 4.60000+ 1 1.49132- 5 1.07035- 3 3.00000+ 1 4.70000+ 1 2.98255- 5 1.07084- 3 3.00000+ 1 5.80000+ 1 4.88397- 4 1.06943- 3 3.20000+ 1 3.20000+ 1 1.00607- 3 1.06386- 3 3.20000+ 1 3.30000+ 1 3.03914- 3 1.07030- 3 3.20000+ 1 4.10000+ 1 4.97365- 3 1.11151- 3 3.20000+ 1 4.30000+ 1 4.73689- 4 1.12737- 3 3.20000+ 1 4.40000+ 1 2.64091- 4 1.13473- 3 3.20000+ 1 4.60000+ 1 1.04796- 5 1.15219- 3 3.20000+ 1 4.70000+ 1 1.46714- 5 1.15268- 3 3.20000+ 1 5.80000+ 1 5.05131- 4 1.15127- 3 3.30000+ 1 3.30000+ 1 1.94461- 3 1.07674- 3 3.30000+ 1 4.10000+ 1 6.58852- 3 1.11795- 3 3.30000+ 1 4.30000+ 1 2.86984- 4 1.13381- 3 3.30000+ 1 4.40000+ 1 6.98384- 4 1.14117- 3 3.30000+ 1 4.60000+ 1 1.60553- 5 1.15863- 3 3.30000+ 1 4.70000+ 1 2.00686- 5 1.15912- 3 3.30000+ 1 5.80000+ 1 6.70295- 4 1.15771- 3 4.10000+ 1 4.10000+ 1 3.98670- 4 1.15916- 3 4.10000+ 1 4.30000+ 1 5.00337- 4 1.17502- 3 4.10000+ 1 4.40000+ 1 7.49477- 4 1.18238- 3 4.10000+ 1 4.60000+ 1 2.79071- 5 1.19984- 3 4.10000+ 1 4.70000+ 1 3.58796- 5 1.20033- 3 4.10000+ 1 5.80000+ 1 8.37162- 5 1.19892- 3 4.30000+ 1 4.30000+ 1 3.46384- 5 1.19088- 3 4.30000+ 1 4.40000+ 1 1.46705- 4 1.19824- 3 4.30000+ 1 4.60000+ 1 2.03758- 6 1.21570- 3 4.30000+ 1 4.70000+ 1 2.03758- 6 1.21619- 3 4.30000+ 1 5.80000+ 1 5.09393- 5 1.21478- 3 4.40000+ 1 4.40000+ 1 8.29828- 5 1.20560- 3 4.40000+ 1 4.60000+ 1 1.84406- 6 1.22306- 3 4.40000+ 1 4.70000+ 1 3.68813- 6 1.22355- 3 4.40000+ 1 5.80000+ 1 7.00738- 5 1.22214- 3 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.00955- 3 4.29290- 4 2.70000+ 1 2.40217- 4 8.30700- 4 3.20000+ 1 6.64650- 5 1.01198- 3 4.10000+ 1 4.55758- 5 1.05963- 3 5.80000+ 1 5.08246- 6 1.09939- 3 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.00000+ 1 2.40563- 2 1.87000- 5 1.90000+ 1 3.20000+ 1 1.16120- 2 1.00540- 4 1.90000+ 1 3.30000+ 1 1.78444- 2 1.06980- 4 1.90000+ 1 4.10000+ 1 2.49971- 3 1.48190- 4 1.90000+ 1 4.30000+ 1 2.66329- 3 1.64050- 4 1.90000+ 1 4.40000+ 1 2.63554- 3 1.71410- 4 1.90000+ 1 4.60000+ 1 5.60822- 5 1.88870- 4 1.90000+ 1 4.70000+ 1 8.13995- 5 1.89360- 4 1.90000+ 1 5.80000+ 1 2.60221- 4 1.87950- 4 2.10000+ 1 2.40000+ 1 1.06130- 1 1.00390- 4 2.10000+ 1 2.50000+ 1 2.46738- 1 1.09550- 4 2.10000+ 1 2.70000+ 1 3.68111- 2 1.55190- 4 2.10000+ 1 2.90000+ 1 2.97246- 2 2.10500- 4 2.10000+ 1 3.00000+ 1 3.83634- 2 2.54630- 4 2.10000+ 1 3.20000+ 1 2.12655- 2 3.36470- 4 2.10000+ 1 3.30000+ 1 3.25229- 2 3.42910- 4 2.10000+ 1 4.10000+ 1 6.98684- 3 3.84120- 4 2.10000+ 1 4.30000+ 1 4.49550- 3 3.99980- 4 2.10000+ 1 4.40000+ 1 5.66886- 3 4.07340- 4 2.10000+ 1 4.60000+ 1 1.25100- 4 4.24800- 4 2.10000+ 1 4.70000+ 1 1.71809- 4 4.25290- 4 2.10000+ 1 5.80000+ 1 7.61876- 4 4.23880- 4 2.20000+ 1 2.40000+ 1 4.27408- 2 1.36280- 4 2.20000+ 1 2.50000+ 1 1.09579- 2 1.45440- 4 2.20000+ 1 2.70000+ 1 5.86307- 3 1.91080- 4 2.20000+ 1 2.90000+ 1 2.48588- 2 2.46390- 4 2.20000+ 1 3.00000+ 1 5.19176- 3 2.90520- 4 2.20000+ 1 3.20000+ 1 2.38508- 3 3.72360- 4 2.20000+ 1 3.30000+ 1 2.58824- 3 3.78800- 4 2.20000+ 1 4.10000+ 1 8.44600- 4 4.20010- 4 2.20000+ 1 4.30000+ 1 2.68346- 3 4.35870- 4 2.20000+ 1 4.40000+ 1 6.03627- 4 4.43230- 4 2.20000+ 1 4.60000+ 1 1.23461- 5 4.60690- 4 2.20000+ 1 4.70000+ 1 1.33886- 5 4.61180- 4 2.20000+ 1 5.80000+ 1 8.85080- 5 4.59770- 4 2.40000+ 1 2.40000+ 1 2.25252- 3 4.47000- 4 2.40000+ 1 2.50000+ 1 1.28195- 2 4.56160- 4 2.40000+ 1 2.70000+ 1 5.06537- 3 5.01800- 4 2.40000+ 1 2.90000+ 1 2.05209- 2 5.57110- 4 2.40000+ 1 3.00000+ 1 3.00498- 3 6.01240- 4 2.40000+ 1 3.20000+ 1 5.94492- 3 6.83080- 4 2.40000+ 1 3.30000+ 1 4.09601- 3 6.89520- 4 2.40000+ 1 4.10000+ 1 9.76446- 4 7.30730- 4 2.40000+ 1 4.30000+ 1 2.25301- 3 7.46590- 4 2.40000+ 1 4.40000+ 1 3.96119- 4 7.53950- 4 2.40000+ 1 4.60000+ 1 2.92445- 5 7.71410- 4 2.40000+ 1 4.70000+ 1 2.23719- 5 7.71900- 4 2.40000+ 1 5.80000+ 1 1.05868- 4 7.70490- 4 2.50000+ 1 2.50000+ 1 6.22368- 4 4.65320- 4 2.50000+ 1 2.70000+ 1 2.87875- 3 5.10960- 4 2.50000+ 1 2.90000+ 1 3.22483- 2 5.66270- 4 2.50000+ 1 3.00000+ 1 1.84136- 3 6.10400- 4 2.50000+ 1 3.20000+ 1 1.24278- 2 6.92240- 4 2.50000+ 1 3.30000+ 1 1.16915- 3 6.98680- 4 2.50000+ 1 4.10000+ 1 4.16496- 4 7.39890- 4 2.50000+ 1 4.30000+ 1 3.41502- 3 7.55750- 4 2.50000+ 1 4.40000+ 1 2.29069- 4 7.63110- 4 2.50000+ 1 4.60000+ 1 6.08372- 5 7.80570- 4 2.50000+ 1 4.70000+ 1 5.94976- 6 7.81060- 4 2.50000+ 1 5.80000+ 1 4.32856- 5 7.79650- 4 2.70000+ 1 2.70000+ 1 1.35328- 3 5.56600- 4 2.70000+ 1 2.90000+ 1 1.79619- 2 6.11910- 4 2.70000+ 1 3.00000+ 1 3.42157- 3 6.56040- 4 2.70000+ 1 3.20000+ 1 4.35748- 3 7.37880- 4 2.70000+ 1 3.30000+ 1 3.10565- 3 7.44320- 4 2.70000+ 1 4.10000+ 1 3.96492- 4 7.85530- 4 2.70000+ 1 4.30000+ 1 1.87065- 3 8.01390- 4 2.70000+ 1 4.40000+ 1 4.61487- 4 8.08750- 4 2.70000+ 1 4.60000+ 1 2.07993- 5 8.26210- 4 2.70000+ 1 4.70000+ 1 1.69002- 5 8.26700- 4 2.70000+ 1 5.80000+ 1 4.15992- 5 8.25290- 4 2.90000+ 1 2.90000+ 1 1.41218- 2 6.67220- 4 2.90000+ 1 3.00000+ 1 3.71775- 2 7.11350- 4 2.90000+ 1 3.20000+ 1 2.86178- 2 7.93190- 4 2.90000+ 1 3.30000+ 1 4.78206- 2 7.99630- 4 2.90000+ 1 4.10000+ 1 4.09341- 3 8.40840- 4 2.90000+ 1 4.30000+ 1 3.81496- 3 8.56700- 4 2.90000+ 1 4.40000+ 1 5.60085- 3 8.64060- 4 2.90000+ 1 4.60000+ 1 1.73410- 4 8.81520- 4 2.90000+ 1 4.70000+ 1 2.64672- 4 8.82010- 4 2.90000+ 1 5.80000+ 1 4.45687- 4 8.80600- 4 3.00000+ 1 3.00000+ 1 1.18547- 3 7.55480- 4 3.00000+ 1 3.20000+ 1 4.84306- 3 8.37320- 4 3.00000+ 1 3.30000+ 1 2.13032- 3 8.43760- 4 3.00000+ 1 4.10000+ 1 4.85393- 4 8.84970- 4 3.00000+ 1 4.30000+ 1 3.56735- 3 9.00830- 4 3.00000+ 1 4.40000+ 1 3.00808- 4 9.08190- 4 3.00000+ 1 4.60000+ 1 2.32447- 5 9.25650- 4 3.00000+ 1 4.70000+ 1 1.09386- 5 9.26140- 4 3.00000+ 1 5.80000+ 1 5.05903- 5 9.24730- 4 3.20000+ 1 3.20000+ 1 9.85054- 4 9.19160- 4 3.20000+ 1 3.30000+ 1 1.56432- 3 9.25600- 4 3.20000+ 1 4.10000+ 1 4.41537- 4 9.66810- 4 3.20000+ 1 4.30000+ 1 1.53153- 3 9.82670- 4 3.20000+ 1 4.40000+ 1 3.87184- 4 9.90030- 4 3.20000+ 1 4.60000+ 1 1.11683- 5 1.00749- 3 3.20000+ 1 4.70000+ 1 8.93465- 6 1.00798- 3 3.20000+ 1 5.80000+ 1 4.76500- 5 1.00657- 3 3.30000+ 1 3.30000+ 1 1.86671- 4 9.32040- 4 3.30000+ 1 4.10000+ 1 1.59470- 4 9.73250- 4 3.30000+ 1 4.30000+ 1 1.81447- 3 9.89110- 4 3.30000+ 1 4.40000+ 1 1.01870- 4 9.96470- 4 3.30000+ 1 4.60000+ 1 5.33352- 6 1.01393- 3 3.30000+ 1 4.70000+ 1 2.13335- 6 1.01442- 3 3.30000+ 1 5.80000+ 1 1.60003- 5 1.01301- 3 4.10000+ 1 4.10000+ 1 1.10773- 5 1.01446- 3 4.10000+ 1 4.30000+ 1 1.35337- 4 1.03032- 3 4.10000+ 1 4.40000+ 1 2.31177- 5 1.03768- 3 4.10000+ 1 4.60000+ 1 1.44485- 6 1.05514- 3 4.10000+ 1 4.70000+ 1 9.63256- 7 1.05563- 3 4.10000+ 1 5.80000+ 1 2.40808- 6 1.05422- 3 4.30000+ 1 4.30000+ 1 7.76876- 5 1.04618- 3 4.30000+ 1 4.40000+ 1 1.92020- 4 1.05354- 3 4.30000+ 1 4.60000+ 1 5.86303- 6 1.07100- 3 4.30000+ 1 4.70000+ 1 9.28294- 6 1.07149- 3 4.30000+ 1 5.80000+ 1 1.51463- 5 1.07008- 3 4.40000+ 1 4.40000+ 1 5.39111- 6 1.06090- 3 4.40000+ 1 4.60000+ 1 7.70169- 7 1.07836- 3 4.40000+ 1 4.70000+ 1 3.85084- 7 1.07885- 3 4.40000+ 1 5.80000+ 1 1.92538- 6 1.07744- 3 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.36744- 5 2.35930- 4 2.20000+ 1 1.95457- 4 2.71820- 4 2.70000+ 1 2.50175- 4 6.37340- 4 3.20000+ 1 2.45684- 5 8.18620- 4 3.30000+ 1 1.46231- 4 8.25060- 4 4.10000+ 1 4.70118- 5 8.66270- 4 5.80000+ 1 5.27941- 6 9.06030- 4 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.90000+ 1 1.63336- 2 1.71400- 5 2.10000+ 1 3.00000+ 1 4.78265- 2 6.12700- 5 2.10000+ 1 3.20000+ 1 1.58881- 2 1.43110- 4 2.10000+ 1 3.30000+ 1 2.50864- 2 1.49550- 4 2.10000+ 1 4.10000+ 1 3.50354- 3 1.90760- 4 2.10000+ 1 4.30000+ 1 2.45018- 3 2.06620- 4 2.10000+ 1 4.40000+ 1 5.82443- 3 2.13980- 4 2.10000+ 1 4.60000+ 1 8.69668- 5 2.31440- 4 2.10000+ 1 4.70000+ 1 1.22479- 4 2.31930- 4 2.10000+ 1 5.80000+ 1 3.76668- 4 2.30520- 4 2.20000+ 1 2.70000+ 1 9.33982- 2 0.00000+ 0 2.20000+ 1 2.90000+ 1 1.07023- 1 5.30300- 5 2.20000+ 1 3.00000+ 1 1.24190- 1 9.71600- 5 2.20000+ 1 3.20000+ 1 1.05584- 1 1.79000- 4 2.20000+ 1 3.30000+ 1 1.26728- 1 1.85440- 4 2.20000+ 1 4.10000+ 1 1.89567- 2 2.26650- 4 2.20000+ 1 4.30000+ 1 1.64571- 2 2.42510- 4 2.20000+ 1 4.40000+ 1 1.70115- 2 2.49870- 4 2.20000+ 1 4.60000+ 1 5.71025- 4 2.67330- 4 2.20000+ 1 4.70000+ 1 6.47936- 4 2.67820- 4 2.20000+ 1 5.80000+ 1 2.03795- 3 2.66410- 4 2.40000+ 1 2.40000+ 1 8.58881- 4 2.53640- 4 2.40000+ 1 2.50000+ 1 7.07442- 3 2.62800- 4 2.40000+ 1 2.70000+ 1 8.51426- 3 3.08440- 4 2.40000+ 1 2.90000+ 1 4.58582- 3 3.63750- 4 2.40000+ 1 3.00000+ 1 5.34873- 2 4.07880- 4 2.40000+ 1 3.20000+ 1 1.95773- 3 4.89720- 4 2.40000+ 1 3.30000+ 1 7.74692- 3 4.96160- 4 2.40000+ 1 4.10000+ 1 1.04286- 3 5.37370- 4 2.40000+ 1 4.30000+ 1 6.26191- 4 5.53230- 4 2.40000+ 1 4.40000+ 1 5.47373- 3 5.60590- 4 2.40000+ 1 4.60000+ 1 1.05637- 5 5.78050- 4 2.40000+ 1 4.70000+ 1 3.40381- 5 5.78540- 4 2.40000+ 1 5.80000+ 1 1.06516- 4 5.77130- 4 2.50000+ 1 2.50000+ 1 4.52367- 3 2.71960- 4 2.50000+ 1 2.70000+ 1 1.94169- 2 3.17600- 4 2.50000+ 1 2.90000+ 1 1.61976- 2 3.72910- 4 2.50000+ 1 3.00000+ 1 6.47029- 2 4.17040- 4 2.50000+ 1 3.20000+ 1 1.54893- 3 4.98880- 4 2.50000+ 1 3.30000+ 1 1.07444- 2 5.05320- 4 2.50000+ 1 4.10000+ 1 2.87271- 3 5.46530- 4 2.50000+ 1 4.30000+ 1 2.29819- 3 5.62390- 4 2.50000+ 1 4.40000+ 1 6.70354- 3 5.69750- 4 2.50000+ 1 4.60000+ 1 9.32912- 6 5.87210- 4 2.50000+ 1 4.70000+ 1 4.86862- 5 5.87700- 4 2.50000+ 1 5.80000+ 1 3.02023- 4 5.86290- 4 2.70000+ 1 2.70000+ 1 7.40912- 6 3.63240- 4 2.70000+ 1 2.90000+ 1 2.29061- 4 4.18550- 4 2.70000+ 1 3.00000+ 1 4.95385- 3 4.62680- 4 2.70000+ 1 3.20000+ 1 4.53494- 4 5.44520- 4 2.70000+ 1 3.30000+ 1 7.84749- 4 5.50960- 4 2.70000+ 1 4.10000+ 1 6.79162- 6 5.92170- 4 2.70000+ 1 4.30000+ 1 2.37706- 5 6.08030- 4 2.70000+ 1 4.40000+ 1 4.89922- 4 6.15390- 4 2.70000+ 1 4.60000+ 1 2.46974- 6 6.32850- 4 2.70000+ 1 4.70000+ 1 3.39576- 6 6.33340- 4 2.70000+ 1 5.80000+ 1 9.26125- 7 6.31930- 4 2.90000+ 1 2.90000+ 1 6.10110- 7 4.73860- 4 2.90000+ 1 3.00000+ 1 5.49431- 3 5.17990- 4 2.90000+ 1 3.20000+ 1 2.42216- 4 5.99830- 4 2.90000+ 1 3.30000+ 1 7.06816- 4 6.06270- 4 2.90000+ 1 4.10000+ 1 3.93520- 5 6.47480- 4 2.90000+ 1 4.30000+ 1 2.74562- 6 6.63340- 4 2.90000+ 1 4.40000+ 1 5.57941- 4 6.70700- 4 2.90000+ 1 4.60000+ 1 1.22015- 6 6.88160- 4 2.90000+ 1 4.70000+ 1 3.05060- 6 6.88650- 4 2.90000+ 1 5.80000+ 1 4.27075- 6 6.87240- 4 3.00000+ 1 3.00000+ 1 7.18189- 3 5.62120- 4 3.00000+ 1 3.20000+ 1 8.13212- 3 6.43960- 4 3.00000+ 1 3.30000+ 1 1.08614- 2 6.50400- 4 3.00000+ 1 4.10000+ 1 9.87148- 4 6.91610- 4 3.00000+ 1 4.30000+ 1 8.93924- 4 7.07470- 4 3.00000+ 1 4.40000+ 1 1.81199- 3 7.14830- 4 3.00000+ 1 4.60000+ 1 4.89649- 5 7.32290- 4 3.00000+ 1 4.70000+ 1 5.99502- 5 7.32780- 4 3.00000+ 1 5.80000+ 1 1.07346- 4 7.31370- 4 3.20000+ 1 3.20000+ 1 1.48032- 4 7.25800- 4 3.20000+ 1 3.30000+ 1 8.86763- 4 7.32240- 4 3.20000+ 1 4.10000+ 1 5.78391- 5 7.73450- 4 3.20000+ 1 4.30000+ 1 3.46453- 5 7.89310- 4 3.20000+ 1 4.40000+ 1 7.61064- 4 7.96670- 4 3.20000+ 1 4.60000+ 1 1.71786- 6 8.14130- 4 3.20000+ 1 4.70000+ 1 4.00855- 6 8.14620- 4 3.20000+ 1 5.80000+ 1 6.01290- 6 8.13210- 4 3.30000+ 1 3.30000+ 1 8.08725- 4 7.38680- 4 3.30000+ 1 4.10000+ 1 1.29043- 4 7.79890- 4 3.30000+ 1 4.30000+ 1 9.84267- 5 7.95750- 4 3.30000+ 1 4.40000+ 1 9.84267- 4 8.03110- 4 3.30000+ 1 4.60000+ 1 4.64796- 6 8.20570- 4 3.30000+ 1 4.70000+ 1 7.92880- 6 8.21060- 4 3.30000+ 1 5.80000+ 1 1.39429- 5 8.19650- 4 4.10000+ 1 4.30000+ 1 3.08127- 6 8.36960- 4 4.10000+ 1 4.40000+ 1 8.71176- 5 8.44320- 4 4.10000+ 1 4.60000+ 1 2.80121- 7 8.61780- 4 4.10000+ 1 4.70000+ 1 5.60233- 7 8.62270- 4 4.30000+ 1 4.40000+ 1 8.18515- 5 8.60180- 4 4.30000+ 1 4.60000+ 1 2.85200- 7 8.77640- 4 4.30000+ 1 4.70000+ 1 5.70390- 7 8.78130- 4 4.30000+ 1 5.80000+ 1 2.85200- 7 8.76720- 4 4.40000+ 1 4.40000+ 1 9.30818- 5 8.67540- 4 4.40000+ 1 4.60000+ 1 4.29199- 6 8.85000- 4 4.40000+ 1 4.70000+ 1 5.36492- 6 8.85490- 4 4.40000+ 1 5.80000+ 1 9.12033- 6 8.84080- 4 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.13502- 4 3.46610- 4 2.90000+ 1 1.19651- 4 4.56720- 4 3.00000+ 1 1.41721- 5 5.00850- 4 4.30000+ 1 1.95311- 5 6.46200- 4 4.40000+ 1 2.19341- 6 6.53560- 4 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 4.30000+ 1 1.09502- 3 6.58000- 6 2.20000+ 1 4.40000+ 1 2.47836- 3 1.39400- 5 2.20000+ 1 4.60000+ 1 4.09878- 4 3.14000- 5 2.20000+ 1 4.70000+ 1 7.54129- 5 3.18900- 5 2.20000+ 1 5.80000+ 1 2.06645- 4 3.04800- 5 2.40000+ 1 2.40000+ 1 2.80510- 2 1.77100- 5 2.40000+ 1 2.50000+ 1 9.27675- 2 2.68700- 5 2.40000+ 1 2.70000+ 1 1.08731- 1 7.25100- 5 2.40000+ 1 2.90000+ 1 9.41886- 2 1.27820- 4 2.40000+ 1 3.00000+ 1 1.18619- 1 1.71950- 4 2.40000+ 1 3.20000+ 1 1.17968- 1 2.53790- 4 2.40000+ 1 3.30000+ 1 1.23463- 1 2.60230- 4 2.40000+ 1 4.10000+ 1 2.07585- 2 3.01440- 4 2.40000+ 1 4.30000+ 1 1.48871- 2 3.17300- 4 2.40000+ 1 4.40000+ 1 1.71778- 2 3.24660- 4 2.40000+ 1 4.60000+ 1 6.05423- 4 3.42120- 4 2.40000+ 1 4.70000+ 1 6.44221- 4 3.42610- 4 2.40000+ 1 5.80000+ 1 2.24237- 3 3.41200- 4 2.50000+ 1 2.50000+ 1 3.01095- 3 3.60300- 5 2.50000+ 1 2.70000+ 1 8.60394- 3 8.16700- 5 2.50000+ 1 2.90000+ 1 1.64933- 2 1.36980- 4 2.50000+ 1 3.00000+ 1 7.68716- 3 1.81110- 4 2.50000+ 1 3.20000+ 1 1.27956- 1 2.62950- 4 2.50000+ 1 3.30000+ 1 5.39224- 3 2.69390- 4 2.50000+ 1 4.10000+ 1 1.18579- 3 3.10600- 4 2.50000+ 1 4.30000+ 1 1.67695- 3 3.26460- 4 2.50000+ 1 4.40000+ 1 8.81531- 4 3.33820- 4 2.50000+ 1 4.60000+ 1 5.91802- 4 3.51280- 4 2.50000+ 1 4.70000+ 1 2.68431- 5 3.51770- 4 2.50000+ 1 5.80000+ 1 1.24404- 4 3.50360- 4 2.70000+ 1 2.70000+ 1 8.60236- 4 1.27310- 4 2.70000+ 1 2.90000+ 1 2.05539- 3 1.82620- 4 2.70000+ 1 3.00000+ 1 1.67149- 3 2.26750- 4 2.70000+ 1 3.20000+ 1 1.14599- 2 3.08590- 4 2.70000+ 1 3.30000+ 1 2.30848- 3 3.15030- 4 2.70000+ 1 4.10000+ 1 1.90867- 4 3.56240- 4 2.70000+ 1 4.30000+ 1 2.17728- 4 3.72100- 4 2.70000+ 1 4.40000+ 1 1.90867- 4 3.79460- 4 2.70000+ 1 4.60000+ 1 5.11296- 5 3.96920- 4 2.70000+ 1 4.70000+ 1 9.37366- 6 3.97410- 4 2.70000+ 1 5.80000+ 1 1.95991- 5 3.96000- 4 2.90000+ 1 2.90000+ 1 3.94135- 4 2.37930- 4 2.90000+ 1 3.00000+ 1 2.14321- 3 2.82060- 4 2.90000+ 1 3.20000+ 1 7.53663- 3 3.63900- 4 2.90000+ 1 3.30000+ 1 9.44627- 4 3.70340- 4 2.90000+ 1 4.10000+ 1 1.38480- 4 4.11550- 4 2.90000+ 1 4.30000+ 1 8.60699- 5 4.27410- 4 2.90000+ 1 4.40000+ 1 1.83647- 4 4.34770- 4 2.90000+ 1 4.60000+ 1 3.45136- 5 4.52230- 4 2.90000+ 1 4.70000+ 1 5.11309- 6 4.52720- 4 2.90000+ 1 5.80000+ 1 1.36348- 5 4.51310- 4 3.00000+ 1 3.00000+ 1 7.62419- 4 3.26190- 4 3.00000+ 1 3.20000+ 1 1.47727- 2 4.08030- 4 3.00000+ 1 3.30000+ 1 1.27808- 3 4.14470- 4 3.00000+ 1 4.10000+ 1 7.46504- 5 4.55680- 4 3.00000+ 1 4.30000+ 1 1.58276- 4 4.71540- 4 3.00000+ 1 4.40000+ 1 1.34620- 4 4.78900- 4 3.00000+ 1 4.60000+ 1 6.77162- 5 4.96360- 4 3.00000+ 1 4.70000+ 1 5.71095- 6 4.96850- 4 3.00000+ 1 5.80000+ 1 6.93470- 6 4.95440- 4 3.20000+ 1 3.20000+ 1 9.30184- 3 4.89870- 4 3.20000+ 1 3.30000+ 1 1.82089- 2 4.96310- 4 3.20000+ 1 4.10000+ 1 1.67098- 3 5.37520- 4 3.20000+ 1 4.30000+ 1 1.20873- 3 5.53380- 4 3.20000+ 1 4.40000+ 1 2.21820- 3 5.60740- 4 3.20000+ 1 4.60000+ 1 9.88489- 5 5.78200- 4 3.20000+ 1 4.70000+ 1 9.97005- 5 5.78690- 4 3.20000+ 1 5.80000+ 1 1.78947- 4 5.77280- 4 3.30000+ 1 3.30000+ 1 2.90811- 4 5.02750- 4 3.30000+ 1 4.10000+ 1 6.44973- 5 5.43960- 4 3.30000+ 1 4.30000+ 1 6.41154- 5 5.59820- 4 3.30000+ 1 4.40000+ 1 1.18308- 4 5.67180- 4 3.30000+ 1 4.60000+ 1 7.51834- 5 5.84640- 4 3.30000+ 1 4.70000+ 1 2.67137- 6 5.85130- 4 3.30000+ 1 5.80000+ 1 6.10622- 6 5.83720- 4 4.10000+ 1 4.10000+ 1 3.98823- 6 5.85170- 4 4.10000+ 1 4.30000+ 1 7.66997- 6 6.01030- 4 4.10000+ 1 4.40000+ 1 6.13565- 6 6.08390- 4 4.10000+ 1 4.60000+ 1 5.52215- 6 6.25850- 4 4.10000+ 1 4.70000+ 1 3.06790- 7 6.26340- 4 4.10000+ 1 5.80000+ 1 9.20335- 7 6.24930- 4 4.30000+ 1 4.30000+ 1 1.19710- 6 6.16890- 4 4.30000+ 1 4.40000+ 1 9.57734- 6 6.24250- 4 4.30000+ 1 4.60000+ 1 3.89078- 6 6.41710- 4 4.30000+ 1 4.70000+ 1 2.99293- 7 6.42200- 4 4.30000+ 1 5.80000+ 1 5.98573- 7 6.40790- 4 4.40000+ 1 4.40000+ 1 2.35097- 6 6.31610- 4 4.40000+ 1 4.60000+ 1 3.76158- 6 6.49070- 4 4.40000+ 1 4.70000+ 1 1.56732- 7 6.49560- 4 4.40000+ 1 5.80000+ 1 3.13457- 7 6.48150- 4 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.62819- 5 3.10720- 4 2.50000+ 1 3.63028- 4 3.19880- 4 3.00000+ 1 1.04030- 4 4.64960- 4 4.40000+ 1 1.61099- 5 6.17670- 4 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.40000+ 1 2.61556- 3 0.00000+ 0 2.40000+ 1 2.50000+ 1 9.85494- 3 0.00000+ 0 2.40000+ 1 2.70000+ 1 1.23571- 2 3.66200- 5 2.40000+ 1 2.90000+ 1 8.25693- 3 9.19300- 5 2.40000+ 1 3.00000+ 1 1.56217- 2 1.36060- 4 2.40000+ 1 3.20000+ 1 7.09565- 3 2.17900- 4 2.40000+ 1 3.30000+ 1 1.04510- 1 2.24340- 4 2.40000+ 1 4.10000+ 1 1.97569- 3 2.65550- 4 2.40000+ 1 4.30000+ 1 1.23226- 3 2.81410- 4 2.40000+ 1 4.40000+ 1 1.87667- 3 2.88770- 4 2.40000+ 1 4.60000+ 1 3.92669- 5 3.06230- 4 2.40000+ 1 4.70000+ 1 4.53694- 4 3.06720- 4 2.40000+ 1 5.80000+ 1 2.09987- 4 3.05310- 4 2.50000+ 1 2.50000+ 1 2.57599- 2 1.40000- 7 2.50000+ 1 2.70000+ 1 1.11301- 1 4.57800- 5 2.50000+ 1 2.90000+ 1 1.20108- 1 1.01090- 4 2.50000+ 1 3.00000+ 1 1.12833- 1 1.45220- 4 2.50000+ 1 3.20000+ 1 1.08230- 1 2.27060- 4 2.50000+ 1 3.30000+ 1 1.98305- 1 2.33500- 4 2.50000+ 1 4.10000+ 1 2.15819- 2 2.74710- 4 2.50000+ 1 4.30000+ 1 1.81723- 2 2.90570- 4 2.50000+ 1 4.40000+ 1 1.64911- 2 2.97930- 4 2.50000+ 1 4.60000+ 1 5.98838- 4 3.15390- 4 2.50000+ 1 4.70000+ 1 9.44531- 4 3.15880- 4 2.50000+ 1 5.80000+ 1 2.32170- 3 3.14470- 4 2.70000+ 1 2.70000+ 1 1.56145- 3 9.14200- 5 2.70000+ 1 2.90000+ 1 2.14736- 3 1.46730- 4 2.70000+ 1 3.00000+ 1 3.56392- 3 1.90860- 4 2.70000+ 1 3.20000+ 1 3.16721- 3 2.72700- 4 2.70000+ 1 3.30000+ 1 1.44745- 2 2.79140- 4 2.70000+ 1 4.10000+ 1 3.34591- 4 3.20350- 4 2.70000+ 1 4.30000+ 1 2.33395- 4 3.36210- 4 2.70000+ 1 4.40000+ 1 4.02032- 4 3.43570- 4 2.70000+ 1 4.60000+ 1 1.34906- 5 3.61030- 4 2.70000+ 1 4.70000+ 1 5.93624- 5 3.61520- 4 2.70000+ 1 5.80000+ 1 3.46271- 5 3.60110- 4 2.90000+ 1 2.90000+ 1 2.68231- 4 2.02040- 4 2.90000+ 1 3.00000+ 1 3.75638- 3 2.46170- 4 2.90000+ 1 3.20000+ 1 5.06636- 4 3.28010- 4 2.90000+ 1 3.30000+ 1 1.14362- 2 3.34450- 4 2.90000+ 1 4.10000+ 1 1.38776- 4 3.75660- 4 2.90000+ 1 4.30000+ 1 5.73816- 5 3.91520- 4 2.90000+ 1 4.40000+ 1 3.35834- 4 3.98880- 4 2.90000+ 1 4.60000+ 1 1.77922- 6 4.16340- 4 2.90000+ 1 4.70000+ 1 4.89300- 5 4.16830- 4 2.90000+ 1 5.80000+ 1 1.37891- 5 4.15420- 4 3.00000+ 1 3.00000+ 1 1.19509- 3 2.90300- 4 3.00000+ 1 3.20000+ 1 1.88220- 3 3.72140- 4 3.00000+ 1 3.30000+ 1 1.47109- 2 3.78580- 4 3.00000+ 1 4.10000+ 1 1.22021- 4 4.19790- 4 3.00000+ 1 4.30000+ 1 1.84747- 4 4.35650- 4 3.00000+ 1 4.40000+ 1 2.12878- 4 4.43010- 4 3.00000+ 1 4.60000+ 1 9.95170- 6 4.60470- 4 3.00000+ 1 4.70000+ 1 6.23052- 5 4.60960- 4 3.00000+ 1 5.80000+ 1 1.08171- 5 4.59550- 4 3.20000+ 1 3.20000+ 1 1.35430- 4 4.53980- 4 3.20000+ 1 3.30000+ 1 1.38531- 2 4.60420- 4 3.20000+ 1 4.10000+ 1 7.87468- 5 5.01630- 4 3.20000+ 1 4.30000+ 1 4.71626- 5 5.17490- 4 3.20000+ 1 4.40000+ 1 1.93402- 4 5.24850- 4 3.20000+ 1 4.60000+ 1 1.29796- 6 5.42310- 4 3.20000+ 1 4.70000+ 1 5.84108- 5 5.42800- 4 3.20000+ 1 5.80000+ 1 7.35549- 6 5.41390- 4 3.30000+ 1 3.30000+ 1 1.53993- 2 4.66860- 4 3.30000+ 1 4.10000+ 1 1.77391- 3 5.08070- 4 3.30000+ 1 4.30000+ 1 1.60568- 3 5.23930- 4 3.30000+ 1 4.40000+ 1 2.16000- 3 5.31290- 4 3.30000+ 1 4.60000+ 1 8.17762- 5 5.48750- 4 3.30000+ 1 4.70000+ 1 1.49280- 4 5.49240- 4 3.30000+ 1 5.80000+ 1 1.89940- 4 5.47830- 4 4.10000+ 1 4.10000+ 1 8.33869- 6 5.49280- 4 4.10000+ 1 4.30000+ 1 1.05144- 5 5.65140- 4 4.10000+ 1 4.40000+ 1 1.26896- 5 5.72500- 4 4.10000+ 1 4.60000+ 1 3.62558- 7 5.89960- 4 4.10000+ 1 4.70000+ 1 6.16334- 6 5.90450- 4 4.10000+ 1 5.80000+ 1 1.45017- 6 5.89040- 4 4.30000+ 1 4.30000+ 1 1.65636- 6 5.81000- 4 4.30000+ 1 4.40000+ 1 1.35822- 5 5.88360- 4 4.30000+ 1 4.70000+ 1 5.30054- 6 6.06310- 4 4.30000+ 1 5.80000+ 1 9.93803- 7 6.04900- 4 4.40000+ 1 4.40000+ 1 5.71230- 6 5.95720- 4 4.40000+ 1 4.60000+ 1 4.76050- 7 6.13180- 4 4.40000+ 1 4.70000+ 1 4.99855- 6 6.13670- 4 4.40000+ 1 5.80000+ 1 7.14042- 7 6.12260- 4 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 4.04950- 5 2.36080- 4 3.30000+ 1 2.63050- 6 2.42520- 4 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 4.60000+ 1 2.05419- 3 4.67000- 6 2.50000+ 1 4.70000+ 1 2.10694- 3 5.16000- 6 2.50000+ 1 5.80000+ 1 2.82678- 3 3.75000- 6 2.70000+ 1 4.10000+ 1 1.03626- 2 9.63000- 6 2.70000+ 1 4.30000+ 1 6.71398- 3 2.54900- 5 2.70000+ 1 4.40000+ 1 1.28982- 2 3.28500- 5 2.70000+ 1 4.60000+ 1 1.82438- 4 5.03100- 5 2.70000+ 1 4.70000+ 1 3.28388- 4 5.08000- 5 2.70000+ 1 5.80000+ 1 1.00341- 3 4.93900- 5 2.90000+ 1 3.20000+ 1 7.57113- 2 1.72900- 5 2.90000+ 1 3.30000+ 1 6.76330- 2 2.37300- 5 2.90000+ 1 4.10000+ 1 3.85061- 2 6.49400- 5 2.90000+ 1 4.30000+ 1 1.85653- 2 8.08000- 5 2.90000+ 1 4.40000+ 1 3.44022- 2 8.81600- 5 2.90000+ 1 4.60000+ 1 1.03047- 3 1.05620- 4 2.90000+ 1 4.70000+ 1 1.24743- 3 1.06110- 4 2.90000+ 1 5.80000+ 1 3.81444- 3 1.04700- 4 3.00000+ 1 3.20000+ 1 1.59574- 1 6.14200- 5 3.00000+ 1 3.30000+ 1 1.17889- 1 6.78600- 5 3.00000+ 1 4.10000+ 1 1.81858- 2 1.09070- 4 3.00000+ 1 4.30000+ 1 1.46428- 2 1.24930- 4 3.00000+ 1 4.40000+ 1 9.76209- 3 1.32290- 4 3.00000+ 1 4.60000+ 1 9.21937- 4 1.49750- 4 3.00000+ 1 4.70000+ 1 7.05020- 4 1.50240- 4 3.00000+ 1 5.80000+ 1 1.69927- 3 1.48830- 4 3.20000+ 1 3.20000+ 1 9.62805- 2 1.43260- 4 3.20000+ 1 3.30000+ 1 1.43909- 1 1.49700- 4 3.20000+ 1 4.10000+ 1 9.49119- 3 1.90910- 4 3.20000+ 1 4.30000+ 1 3.34445- 2 2.06770- 4 3.20000+ 1 4.40000+ 1 2.34829- 2 2.14130- 4 3.20000+ 1 4.60000+ 1 6.68879- 4 2.31590- 4 3.20000+ 1 4.70000+ 1 6.50801- 4 2.32080- 4 3.20000+ 1 5.80000+ 1 1.10273- 3 2.30670- 4 3.30000+ 1 3.30000+ 1 2.68940- 2 1.56140- 4 3.30000+ 1 4.10000+ 1 5.44105- 3 1.97350- 4 3.30000+ 1 4.30000+ 1 3.41738- 2 2.13210- 4 3.30000+ 1 4.40000+ 1 1.50822- 2 2.20570- 4 3.30000+ 1 4.60000+ 1 4.29559- 4 2.38030- 4 3.30000+ 1 4.70000+ 1 2.14780- 4 2.38520- 4 3.30000+ 1 5.80000+ 1 5.72732- 4 2.37110- 4 4.10000+ 1 4.10000+ 1 1.08466- 4 2.38560- 4 4.10000+ 1 4.30000+ 1 1.53660- 3 2.54420- 4 4.10000+ 1 4.40000+ 1 1.15691- 3 2.61780- 4 4.10000+ 1 4.60000+ 1 1.80776- 5 2.79240- 4 4.10000+ 1 4.70000+ 1 1.80776- 5 2.79730- 4 4.10000+ 1 5.80000+ 1 1.80776- 5 2.78320- 4 4.30000+ 1 4.30000+ 1 5.60437- 4 2.70280- 4 4.30000+ 1 4.40000+ 1 1.12090- 3 2.77640- 4 4.30000+ 1 4.60000+ 1 1.08472- 4 2.95100- 4 4.30000+ 1 4.70000+ 1 9.03891- 5 2.95590- 4 4.30000+ 1 5.80000+ 1 1.62708- 4 2.94180- 4 4.40000+ 1 4.40000+ 1 2.35015- 4 2.85000- 4 4.40000+ 1 4.60000+ 1 7.23096- 5 3.02460- 4 4.40000+ 1 4.70000+ 1 3.61563- 5 3.02950- 4 4.40000+ 1 5.80000+ 1 1.08469- 4 3.01540- 4 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 3.92548- 5 2.33360- 4 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 4.30000+ 1 1.10763- 2 1.63300- 5 2.70000+ 1 4.40000+ 1 1.93246- 2 2.36900- 5 2.70000+ 1 4.60000+ 1 5.65446- 4 4.11500- 5 2.70000+ 1 4.70000+ 1 5.98708- 4 4.16400- 5 2.70000+ 1 5.80000+ 1 2.39479- 3 4.02300- 5 2.90000+ 1 3.20000+ 1 1.71599- 2 8.13000- 6 2.90000+ 1 3.30000+ 1 4.15105- 2 1.45700- 5 2.90000+ 1 4.10000+ 1 4.83147- 3 5.57800- 5 2.90000+ 1 4.30000+ 1 1.30029- 3 7.16400- 5 2.90000+ 1 4.40000+ 1 5.66622- 3 7.90000- 5 2.90000+ 1 4.60000+ 1 1.76564- 4 9.64600- 5 2.90000+ 1 4.70000+ 1 2.08678- 4 9.69500- 5 2.90000+ 1 5.80000+ 1 6.74141- 4 9.55400- 5 3.00000+ 1 3.20000+ 1 1.43633- 1 5.22600- 5 3.00000+ 1 3.30000+ 1 3.60262- 1 5.87000- 5 3.00000+ 1 4.10000+ 1 3.09315- 2 9.99100- 5 3.00000+ 1 4.30000+ 1 1.07547- 2 1.15770- 4 3.00000+ 1 4.40000+ 1 3.52654- 2 1.23130- 4 3.00000+ 1 4.60000+ 1 1.12364- 3 1.40590- 4 3.00000+ 1 4.70000+ 1 2.29536- 3 1.41080- 4 3.00000+ 1 5.80000+ 1 3.08195- 3 1.39670- 4 3.20000+ 1 3.20000+ 1 9.40561- 3 1.34100- 4 3.20000+ 1 3.30000+ 1 1.04447- 1 1.40540- 4 3.20000+ 1 4.10000+ 1 2.98549- 3 1.81750- 4 3.20000+ 1 4.30000+ 1 2.92130- 3 1.97610- 4 3.20000+ 1 4.40000+ 1 1.91978- 2 2.04970- 4 3.20000+ 1 4.60000+ 1 8.02533- 5 2.22430- 4 3.20000+ 1 4.70000+ 1 2.56813- 4 2.22920- 4 3.20000+ 1 5.80000+ 1 3.04967- 4 2.21510- 4 3.30000+ 1 3.30000+ 1 9.99901- 2 1.46980- 4 3.30000+ 1 4.10000+ 1 9.21385- 3 1.88190- 4 3.30000+ 1 4.30000+ 1 9.53471- 3 2.04050- 4 3.30000+ 1 4.40000+ 1 4.24733- 2 2.11410- 4 3.30000+ 1 4.60000+ 1 5.45760- 4 2.28870- 4 3.30000+ 1 4.70000+ 1 6.58106- 4 2.29360- 4 3.30000+ 1 5.80000+ 1 1.04335- 3 2.27950- 4 4.10000+ 1 4.10000+ 1 8.02531- 5 2.29400- 4 4.10000+ 1 4.30000+ 1 5.45728- 4 2.45260- 4 4.10000+ 1 4.40000+ 1 1.62115- 3 2.52620- 4 4.10000+ 1 4.60000+ 1 1.60514- 5 2.70080- 4 4.10000+ 1 4.70000+ 1 1.60514- 5 2.70570- 4 4.10000+ 1 5.80000+ 1 1.60514- 5 2.69160- 4 4.30000+ 1 4.30000+ 1 4.81538- 5 2.61120- 4 4.30000+ 1 4.40000+ 1 5.29694- 4 2.68480- 4 4.30000+ 1 4.60000+ 1 1.60519- 5 2.85940- 4 4.30000+ 1 4.70000+ 1 3.21029- 5 2.86430- 4 4.30000+ 1 5.80000+ 1 4.81538- 5 2.85020- 4 4.40000+ 1 4.40000+ 1 7.51262- 4 2.75840- 4 4.40000+ 1 4.60000+ 1 7.22332- 5 2.93300- 4 4.40000+ 1 4.70000+ 1 1.30026- 4 2.93790- 4 4.40000+ 1 5.80000+ 1 1.44473- 4 2.92380- 4 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.39707- 6 5.53100- 5 3.00000+ 1 1.67191- 5 9.94400- 5 4.30000+ 1 2.06674- 6 2.44790- 4 4.40000+ 1 4.05049- 8 2.52150- 4 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 3.52029- 2 1.01400- 5 2.90000+ 1 4.30000+ 1 2.25148- 2 2.60000- 5 2.90000+ 1 4.40000+ 1 4.58188- 2 3.33600- 5 2.90000+ 1 4.60000+ 1 9.43241- 4 5.08200- 5 2.90000+ 1 4.70000+ 1 2.11392- 3 5.13100- 5 2.90000+ 1 5.80000+ 1 3.70629- 3 4.99000- 5 3.00000+ 1 3.20000+ 1 3.30833- 1 6.62000- 6 3.00000+ 1 3.30000+ 1 2.88936- 1 1.30600- 5 3.00000+ 1 4.10000+ 1 2.48327- 2 5.42700- 5 3.00000+ 1 4.30000+ 1 2.40917- 2 7.01300- 5 3.00000+ 1 4.40000+ 1 2.37303- 2 7.74900- 5 3.00000+ 1 4.60000+ 1 1.27614- 3 9.49500- 5 3.00000+ 1 4.70000+ 1 1.22102- 3 9.54400- 5 3.00000+ 1 5.80000+ 1 2.66926- 3 9.40300- 5 3.20000+ 1 3.20000+ 1 1.94651- 3 8.84600- 5 3.20000+ 1 3.30000+ 1 1.27019- 1 9.49000- 5 3.20000+ 1 4.10000+ 1 7.71815- 3 1.36110- 4 3.20000+ 1 4.30000+ 1 1.26529- 3 1.51970- 4 3.20000+ 1 4.40000+ 1 6.88167- 3 1.59330- 4 3.20000+ 1 4.60000+ 1 2.85025- 5 1.76790- 4 3.20000+ 1 4.70000+ 1 3.36529- 4 1.77280- 4 3.20000+ 1 5.80000+ 1 6.64758- 4 1.75870- 4 3.30000+ 1 3.30000+ 1 2.54252- 2 1.01340- 4 3.30000+ 1 4.10000+ 1 8.43092- 3 1.42550- 4 3.30000+ 1 4.30000+ 1 3.68732- 3 1.58410- 4 3.30000+ 1 4.40000+ 1 3.47665- 3 1.65770- 4 3.30000+ 1 4.60000+ 1 2.58025- 4 1.83230- 4 3.30000+ 1 4.70000+ 1 1.42485- 4 1.83720- 4 3.30000+ 1 5.80000+ 1 7.24370- 4 1.82310- 4 4.10000+ 1 4.10000+ 1 7.12557- 4 1.83760- 4 4.10000+ 1 4.30000+ 1 8.29862- 4 1.99620- 4 4.10000+ 1 4.40000+ 1 1.26956- 3 2.06980- 4 4.10000+ 1 4.60000+ 1 4.32398- 5 2.24440- 4 4.10000+ 1 4.70000+ 1 5.60957- 5 2.24930- 4 4.10000+ 1 5.80000+ 1 1.33083- 4 2.23520- 4 4.30000+ 1 4.30000+ 1 7.94320- 5 2.15480- 4 4.30000+ 1 4.40000+ 1 4.89837- 4 2.22840- 4 4.30000+ 1 4.60000+ 1 4.72814- 6 2.40300- 4 4.30000+ 1 4.70000+ 1 1.48145- 5 2.40790- 4 4.30000+ 1 5.80000+ 1 6.93480- 5 2.39380- 4 4.40000+ 1 4.40000+ 1 2.35197- 4 2.30200- 4 4.40000+ 1 4.60000+ 1 2.35197- 5 2.47660- 4 4.40000+ 1 4.70000+ 1 1.64335- 5 2.48150- 4 4.40000+ 1 5.80000+ 1 1.06890- 4 2.46740- 4 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 2.36709- 5 1.25970- 4 4.10000+ 1 2.69389- 6 1.73620- 4 5.80000+ 1 3.10369- 7 2.13380- 4 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 4.10000+ 1 1.86633- 2 0.00000+ 0 3.00000+ 1 4.30000+ 1 1.18184- 2 1.48200- 5 3.00000+ 1 4.40000+ 1 8.76772- 3 2.21800- 5 3.00000+ 1 4.60000+ 1 5.95897- 4 3.96400- 5 3.00000+ 1 4.70000+ 1 6.49594- 4 4.01300- 5 3.00000+ 1 5.80000+ 1 1.37991- 3 3.87200- 5 3.20000+ 1 3.20000+ 1 1.42011- 1 3.31500- 5 3.20000+ 1 3.30000+ 1 6.08760- 1 3.95900- 5 3.20000+ 1 4.10000+ 1 4.62044- 2 8.08000- 5 3.20000+ 1 4.30000+ 1 3.07856- 2 9.66600- 5 3.20000+ 1 4.40000+ 1 5.17998- 2 1.04020- 4 3.20000+ 1 4.60000+ 1 1.16475- 3 1.21480- 4 3.20000+ 1 4.70000+ 1 2.60924- 3 1.21970- 4 3.20000+ 1 5.80000+ 1 5.09155- 3 1.20560- 4 3.30000+ 1 3.30000+ 1 2.53430- 2 4.60300- 5 3.30000+ 1 4.10000+ 1 4.16256- 3 8.72400- 5 3.30000+ 1 4.30000+ 1 2.59328- 2 1.03100- 4 3.30000+ 1 4.40000+ 1 6.18900- 3 1.10460- 4 3.30000+ 1 4.60000+ 1 7.31659- 4 1.27920- 4 3.30000+ 1 4.70000+ 1 1.79205- 4 1.28410- 4 3.30000+ 1 5.80000+ 1 3.70494- 4 1.27000- 4 4.10000+ 1 4.10000+ 1 8.57524- 5 1.28450- 4 4.10000+ 1 4.30000+ 1 2.14443- 3 1.44310- 4 4.10000+ 1 4.40000+ 1 3.51941- 4 1.51670- 4 4.10000+ 1 4.60000+ 1 5.21062- 5 1.69130- 4 4.10000+ 1 4.70000+ 1 1.57814- 5 1.69620- 4 4.10000+ 1 5.80000+ 1 1.54837- 5 1.68210- 4 4.30000+ 1 4.30000+ 1 1.06116- 3 1.60170- 4 4.30000+ 1 4.40000+ 1 2.48999- 3 1.67530- 4 4.30000+ 1 4.60000+ 1 7.24632- 5 1.84990- 4 4.30000+ 1 4.70000+ 1 1.11244- 4 1.85480- 4 4.30000+ 1 5.80000+ 1 2.04627- 4 1.84070- 4 4.40000+ 1 4.40000+ 1 9.07638- 5 1.74890- 4 4.40000+ 1 4.60000+ 1 4.16653- 5 1.92350- 4 4.40000+ 1 4.70000+ 1 7.43310- 6 1.92840- 4 4.40000+ 1 5.80000+ 1 1.83872- 5 1.91430- 4 1 89000 0 7 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.32019- 7 8.18400- 5 3.30000+ 1 3.78178- 6 8.82800- 5 4.10000+ 1 1.41289- 6 1.29490- 4 5.80000+ 1 1.72699- 7 1.69250- 4 1 89000 0 9 2.27000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.30000+ 1 3.34737- 1 0.00000+ 0 3.20000+ 1 4.10000+ 1 8.52764- 3 3.66700- 5 3.20000+ 1 4.30000+ 1 5.75256- 3 5.25300- 5 3.20000+ 1 4.40000+ 1 1.74284- 2 5.98900- 5 3.20000+ 1 4.60000+ 1 1.92498- 4 7.73500- 5 3.20000+ 1 4.70000+ 1 6.77896- 4 7.78400- 5 3.20000+ 1 5.80000+ 1 7.32779- 4 7.64300- 5 3.30000+ 1 3.30000+ 1 4.41675- 1 1.90000- 6 3.30000+ 1 4.10000+ 1 5.58142- 2 4.31100- 5 3.30000+ 1 4.30000+ 1 5.49509- 2 5.89700- 5 3.30000+ 1 4.40000+ 1 6.41941- 2 6.63300- 5 3.30000+ 1 4.60000+ 1 2.73324- 3 8.37900- 5 3.30000+ 1 4.70000+ 1 2.59040- 3 8.42800- 5 3.30000+ 1 5.80000+ 1 6.02918- 3 8.28700- 5 4.10000+ 1 4.10000+ 1 1.45202- 4 8.43200- 5 4.10000+ 1 4.30000+ 1 2.59527- 4 1.00180- 4 4.10000+ 1 4.40000+ 1 1.23466- 3 1.07540- 4 4.10000+ 1 4.60000+ 1 2.00169- 5 1.25000- 4 4.10000+ 1 4.70000+ 1 3.34388- 5 1.25490- 4 4.10000+ 1 5.80000+ 1 2.61491- 5 1.24080- 4 4.30000+ 1 4.40000+ 1 9.76434- 4 1.23400- 4 4.30000+ 1 4.60000+ 1 4.40012- 6 1.40860- 4 4.30000+ 1 4.70000+ 1 1.93609- 5 1.41350- 4 4.30000+ 1 5.80000+ 1 1.32004- 5 1.39940- 4 4.40000+ 1 4.40000+ 1 1.01766- 3 1.30760- 4 4.40000+ 1 4.60000+ 1 4.34424- 5 1.48220- 4 4.40000+ 1 4.70000+ 1 5.63918- 5 1.48710- 4 4.40000+ 1 5.80000+ 1 1.08501- 4 1.47300- 4 1 90000 0 0 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 4.60000+ 1 8.00000- 1 4.70000+ 1 1.20000+ 0 5.80000+ 1 2.00000+ 0 1 90000 0 0 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.10110- 1 3.00000+ 0 2.04780- 2 5.00000+ 0 1.97800- 2 6.00000+ 0 1.63150- 2 8.00000+ 0 5.15790- 3 1.00000+ 1 4.83160- 3 1.10000+ 1 4.03620- 3 1.30000+ 1 3.50240- 3 1.40000+ 1 3.33860- 3 1.60000+ 1 1.31060- 3 1.80000+ 1 1.16230- 3 1.90000+ 1 9.56160- 4 2.10000+ 1 7.14810- 4 2.20000+ 1 6.76640- 4 2.40000+ 1 3.58550- 4 2.50000+ 1 3.48690- 4 2.70000+ 1 2.94760- 4 2.90000+ 1 2.37430- 4 3.00000+ 1 1.89410- 4 3.20000+ 1 1.04230- 4 3.30000+ 1 9.71100- 5 4.10000+ 1 5.05500- 5 4.30000+ 1 3.35200- 5 4.40000+ 1 2.50100- 5 4.60000+ 1 5.62000- 6 4.70000+ 1 4.98000- 6 5.80000+ 1 5.97000- 6 1 90000 0 0 2.32038+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.63300- 1 3.00000+ 0 4.05030- 2 5.00000+ 0 4.05170- 2 6.00000+ 0 2.63510- 2 8.00000+ 0 1.29820- 2 1.00000+ 1 1.28470- 2 1.10000+ 1 9.27070- 3 1.30000+ 1 9.10750- 3 1.40000+ 1 8.42420- 3 1.60000+ 1 4.44730- 3 1.80000+ 1 4.29510- 3 1.90000+ 1 3.19690- 3 2.10000+ 1 2.95750- 3 2.20000+ 1 2.75130- 3 2.40000+ 1 2.38960- 3 2.50000+ 1 2.31960- 3 2.70000+ 1 1.35760- 3 2.90000+ 1 1.23840- 3 3.00000+ 1 9.29330- 4 3.20000+ 1 7.28380- 4 3.30000+ 1 6.76510- 4 4.10000+ 1 3.35130- 4 4.30000+ 1 2.69550- 4 4.40000+ 1 1.94150- 4 4.60000+ 1 8.76500- 5 4.70000+ 1 7.77100- 5 5.80000+ 1 4.74400- 5 1 90000 0 0 2.32038+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.45290-11 3.00000+ 0 3.08620-10 5.00000+ 0 2.50230-10 6.00000+ 0 3.02860-10 8.00000+ 0 8.02050-10 1.00000+ 1 7.53400-10 1.10000+ 1 8.48010-10 1.30000+ 1 7.31390-10 1.40000+ 1 7.59570-10 1.60000+ 1 1.74540- 9 1.80000+ 1 1.73620- 9 1.90000+ 1 1.92460- 9 2.10000+ 1 1.90960- 9 2.20000+ 1 1.96630- 9 2.40000+ 1 1.91610- 9 2.50000+ 1 1.94430- 9 2.70000+ 1 3.65650- 9 2.90000+ 1 3.80710- 9 3.00000+ 1 4.21690- 9 3.20000+ 1 4.73430- 9 3.30000+ 1 4.87720- 9 4.10000+ 1 7.95490- 9 4.30000+ 1 8.83150- 9 4.40000+ 1 9.95520- 9 4.60000+ 1 1.48860- 8 4.70000+ 1 1.57280- 8 5.80000+ 1 2.11270- 8 1 90000 0 0 2.32038+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.38340- 5 3.00000+ 0 2.18270- 6 5.00000+ 0 3.83590- 6 6.00000+ 0 3.23070- 6 8.00000+ 0 9.63850- 8 1.00000+ 1 1.06330- 7 1.10000+ 1 1.18370- 7 1.30000+ 1 1.51060- 7 1.40000+ 1 1.39550- 7 1.60000+ 1 5.02730- 9 1.80000+ 1 6.48840- 9 1.90000+ 1 4.48530- 9 2.10000+ 1 3.09300- 9 2.20000+ 1 2.38510- 9 2.40000+ 1 1.00540-10 2.50000+ 1 9.16000-11 2.70000+ 1 3.35740-10 2.90000+ 1 6.87120-10 3.00000+ 1 3.45010-10 1 90000 0 0 2.32038+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.67120- 6 3.00000+ 0 1.34980- 5 5.00000+ 0 4.08110- 6 6.00000+ 0 4.27560- 6 8.00000+ 0 1.87140- 5 1.00000+ 1 1.45780- 5 1.10000+ 1 1.18610- 5 1.30000+ 1 3.15080- 6 1.40000+ 1 3.14060- 6 1.60000+ 1 1.38010- 5 1.80000+ 1 1.51940- 5 1.90000+ 1 9.17540- 6 2.10000+ 1 6.19910- 6 2.20000+ 1 6.38480- 6 2.40000+ 1 1.50700- 7 2.50000+ 1 1.83300- 7 2.70000+ 1 1.87580- 5 2.90000+ 1 8.56250- 6 3.00000+ 1 4.19560- 6 1 90000 0 0 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.77589- 4 3.00000+ 0 1.26761- 3 5.00000+ 0 8.96358- 4 6.00000+ 0 8.81873- 4 8.00000+ 0 9.36157- 4 1.00000+ 1 8.30634- 4 1.10000+ 1 7.36983- 4 1.30000+ 1 5.61236- 4 1.40000+ 1 5.52086- 4 1.60000+ 1 4.82416- 4 1.80000+ 1 4.75960- 4 1.90000+ 1 4.35934- 4 2.10000+ 1 3.51188- 4 2.20000+ 1 3.45003- 4 2.40000+ 1 2.20789- 4 2.50000+ 1 2.22866- 4 2.70000+ 1 2.25478- 4 2.90000+ 1 1.87322- 4 3.00000+ 1 1.47364- 4 3.20000+ 1 1.04230- 4 3.30000+ 1 9.71100- 5 4.10000+ 1 5.05500- 5 4.30000+ 1 3.35200- 5 4.40000+ 1 2.50100- 5 4.60000+ 1 5.62000- 6 4.70000+ 1 4.98000- 6 5.80000+ 1 5.97000- 6 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.41587+ 0 3.00000+ 0 5.53413- 1 5.00000+ 0 6.17014- 1 6.00000+ 0 5.03436- 1 8.00000+ 0 5.21545- 2 1.00000+ 1 5.26606- 2 1.10000+ 1 4.83804- 2 1.30000+ 1 5.61303- 2 1.40000+ 1 5.12229- 2 1.60000+ 1 1.73621- 3 1.80000+ 1 1.91522- 3 1.90000+ 1 1.17541- 3 2.10000+ 1 6.84858- 4 2.20000+ 1 5.95938- 4 2.40000+ 1 6.60106- 5 2.50000+ 1 5.70477- 5 2.70000+ 1 3.03748- 5 2.90000+ 1 3.24189- 5 3.00000+ 1 6.86505- 6 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.82685- 2 3.00000+ 0 6.98167- 3 5.00000+ 0 9.28835- 3 6.00000+ 0 6.07920- 3 8.00000+ 0 1.60499- 4 1.00000+ 1 1.63232- 4 1.10000+ 1 1.45443- 4 1.30000+ 1 1.71834- 4 1.40000+ 1 1.50232- 4 1.60000+ 1 1.07660- 6 1.80000+ 1 1.00158- 6 1.90000+ 1 6.03953- 7 2.10000+ 1 2.60887- 7 2.20000+ 1 2.12238- 7 2.40000+ 1 1.53999- 8 2.50000+ 1 1.33267- 8 2.70000+ 1 3.65559- 9 2.90000+ 1 4.52808- 9 3.00000+ 1 7.33159-10 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.66843+ 0 3.00000+ 0 1.44138+ 1 5.00000+ 0 9.86647+ 0 6.00000+ 0 9.72769+ 0 8.00000+ 0 1.04280+ 1 1.00000+ 1 9.08551+ 0 1.10000+ 1 8.00169+ 0 1.30000+ 1 5.78978+ 0 1.40000+ 1 5.72147+ 0 1.60000+ 1 4.87997+ 0 1.80000+ 1 4.74061+ 0 1.90000+ 1 4.32275+ 0 2.10000+ 1 3.22688+ 0 2.20000+ 1 3.18357+ 0 2.40000+ 1 1.68890+ 0 2.50000+ 1 1.75825+ 0 2.70000+ 1 1.80788+ 0 2.90000+ 1 1.04687+ 0 3.00000+ 1 9.99993- 1 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.09639- 2 3.00000+ 0 1.22287- 2 5.00000+ 0 9.59530- 3 6.00000+ 0 9.35393- 3 8.00000+ 0 4.06124- 3 1.00000+ 1 3.83773- 3 1.10000+ 1 3.15377- 3 1.30000+ 1 2.76933- 3 1.40000+ 1 2.63628- 3 1.60000+ 1 8.27108- 4 1.80000+ 1 6.85338- 4 1.90000+ 1 5.19623- 4 2.10000+ 1 3.63361- 4 2.20000+ 1 3.31425- 4 2.40000+ 1 1.37745- 4 2.50000+ 1 1.25811- 4 2.70000+ 1 6.92783- 5 2.90000+ 1 5.01038- 5 3.00000+ 1 4.20448- 5 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.87670- 1 9.03300- 2 6.00000+ 0 4.65020- 1 9.37950- 2 1.00000+ 1 5.33040- 2 1.05278- 1 1.10000+ 1 1.03960- 1 1.06074- 1 1.30000+ 1 1.77890- 3 1.06608- 1 1.40000+ 1 2.05490- 3 1.06771- 1 1.80000+ 1 1.32230- 2 1.08948- 1 1.90000+ 1 2.65690- 2 1.09154- 1 2.10000+ 1 5.14230- 4 1.09395- 1 2.20000+ 1 5.95300- 4 1.09433- 1 2.90000+ 1 3.19630- 3 1.09873- 1 3.00000+ 1 6.26000- 3 1.09921- 1 3.20000+ 1 1.01160- 4 1.10006- 1 3.30000+ 1 1.16310- 4 1.10013- 1 4.30000+ 1 5.58750- 4 1.10076- 1 4.40000+ 1 1.02900- 3 1.10085- 1 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.91736- 3 6.91540- 2 3.00000+ 0 5.00000+ 0 6.97025- 3 6.98520- 2 3.00000+ 0 6.00000+ 0 2.85409- 3 7.33170- 2 3.00000+ 0 8.00000+ 0 1.62199- 3 8.44741- 2 3.00000+ 0 1.00000+ 1 1.53069- 3 8.48004- 2 3.00000+ 0 1.10000+ 1 6.99881- 4 8.55958- 2 3.00000+ 0 1.30000+ 1 6.10125- 5 8.61296- 2 3.00000+ 0 1.40000+ 1 3.96808- 5 8.62934- 2 3.00000+ 0 1.60000+ 1 4.25962- 4 8.83214- 2 3.00000+ 0 1.80000+ 1 3.95176- 4 8.84697- 2 3.00000+ 0 1.90000+ 1 1.82124- 4 8.86758- 2 3.00000+ 0 2.10000+ 1 1.76544- 5 8.89172- 2 3.00000+ 0 2.20000+ 1 1.13077- 5 8.89554- 2 3.00000+ 0 2.40000+ 1 6.93684- 8 8.92734- 2 3.00000+ 0 2.50000+ 1 6.93684- 8 8.92833- 2 3.00000+ 0 2.70000+ 1 1.05652- 4 8.93372- 2 3.00000+ 0 2.90000+ 1 9.16749- 5 8.93946- 2 3.00000+ 0 3.00000+ 1 4.17956- 5 8.94426- 2 3.00000+ 0 3.20000+ 1 3.39912- 6 8.95278- 2 3.00000+ 0 3.30000+ 1 2.15049- 6 8.95349- 2 5.00000+ 0 5.00000+ 0 2.76838- 4 7.05500- 2 5.00000+ 0 6.00000+ 0 4.69894- 3 7.40150- 2 5.00000+ 0 8.00000+ 0 1.27271- 3 8.51721- 2 5.00000+ 0 1.00000+ 1 1.07146- 4 8.54984- 2 5.00000+ 0 1.10000+ 1 9.75779- 4 8.62938- 2 5.00000+ 0 1.30000+ 1 6.11509- 5 8.68276- 2 5.00000+ 0 1.40000+ 1 1.42829- 4 8.69914- 2 5.00000+ 0 1.60000+ 1 3.24838- 4 8.90194- 2 5.00000+ 0 1.80000+ 1 2.69175- 5 8.91677- 2 5.00000+ 0 1.90000+ 1 2.43801- 4 8.93738- 2 5.00000+ 0 2.10000+ 1 1.69272- 5 8.96152- 2 5.00000+ 0 2.20000+ 1 3.97845- 5 8.96534- 2 5.00000+ 0 2.40000+ 1 5.54987- 7 8.99714- 2 5.00000+ 0 2.50000+ 1 7.97796- 7 8.99813- 2 5.00000+ 0 2.70000+ 1 7.99881- 5 9.00352- 2 5.00000+ 0 2.90000+ 1 6.20872- 6 9.00926- 2 5.00000+ 0 3.00000+ 1 5.54303- 5 9.01406- 2 5.00000+ 0 3.20000+ 1 3.22587- 6 9.02258- 2 5.00000+ 0 3.30000+ 1 7.52686- 6 9.02329- 2 6.00000+ 0 6.00000+ 0 1.92809- 3 7.74800- 2 6.00000+ 0 8.00000+ 0 4.64404- 4 8.86371- 2 6.00000+ 0 1.00000+ 1 8.53762- 4 8.89634- 2 6.00000+ 0 1.10000+ 1 8.26217- 4 8.97588- 2 6.00000+ 0 1.30000+ 1 1.54801- 4 9.02926- 2 6.00000+ 0 1.40000+ 1 1.23895- 4 9.04564- 2 6.00000+ 0 1.60000+ 1 1.15228- 4 9.24844- 2 6.00000+ 0 1.80000+ 1 2.10926- 4 9.26327- 2 6.00000+ 0 1.90000+ 1 2.08246- 4 9.28388- 2 6.00000+ 0 2.10000+ 1 4.33926- 5 9.30802- 2 6.00000+ 0 2.20000+ 1 3.46862- 5 9.31184- 2 6.00000+ 0 2.40000+ 1 7.97779- 7 9.34364- 2 6.00000+ 0 2.50000+ 1 8.67137- 7 9.34463- 2 6.00000+ 0 2.70000+ 1 2.81640- 5 9.35002- 2 6.00000+ 0 2.90000+ 1 4.84219- 5 9.35576- 2 6.00000+ 0 3.00000+ 1 4.74482- 5 9.36056- 2 6.00000+ 0 3.20000+ 1 8.29007- 6 9.36908- 2 6.00000+ 0 3.30000+ 1 6.55560- 6 9.36979- 2 8.00000+ 0 8.00000+ 0 1.66006- 4 9.97942- 2 8.00000+ 0 1.00000+ 1 2.81125- 4 1.00120- 1 8.00000+ 0 1.10000+ 1 1.15196- 4 1.00916- 1 8.00000+ 0 1.30000+ 1 9.74676- 6 1.01450- 1 8.00000+ 0 1.40000+ 1 5.96585- 6 1.01613- 1 8.00000+ 0 1.60000+ 1 8.70276- 5 1.03641- 1 8.00000+ 0 1.80000+ 1 7.26654- 5 1.03790- 1 8.00000+ 0 1.90000+ 1 3.00730- 5 1.03996- 1 8.00000+ 0 2.10000+ 1 2.84422- 6 1.04237- 1 8.00000+ 0 2.20000+ 1 1.69953- 6 1.04275- 1 8.00000+ 0 2.70000+ 1 2.15746- 5 1.04657- 1 8.00000+ 0 2.90000+ 1 1.68564- 5 1.04715- 1 8.00000+ 0 3.00000+ 1 6.90256- 6 1.04763- 1 8.00000+ 0 3.20000+ 1 5.54981- 7 1.04848- 1 8.00000+ 0 3.30000+ 1 3.12175- 7 1.04855- 1 1.00000+ 1 1.00000+ 1 9.92008- 6 1.00447- 1 1.00000+ 1 1.10000+ 1 1.83273- 4 1.01242- 1 1.00000+ 1 1.30000+ 1 1.01629- 5 1.01776- 1 1.00000+ 1 1.40000+ 1 1.93550- 5 1.01940- 1 1.00000+ 1 1.60000+ 1 7.18007- 5 1.03968- 1 1.00000+ 1 1.80000+ 1 4.92537- 6 1.04116- 1 1.00000+ 1 1.90000+ 1 4.61310- 5 1.04322- 1 1.00000+ 1 2.10000+ 1 2.84421- 6 1.04564- 1 1.00000+ 1 2.20000+ 1 5.48033- 6 1.04602- 1 1.00000+ 1 2.40000+ 1 6.93694- 8 1.04920- 1 1.00000+ 1 2.50000+ 1 6.93694- 8 1.04930- 1 1.00000+ 1 2.70000+ 1 1.76889- 5 1.04984- 1 1.00000+ 1 2.90000+ 1 1.14467- 6 1.05041- 1 1.00000+ 1 3.00000+ 1 1.05097- 5 1.05089- 1 1.00000+ 1 3.20000+ 1 5.54980- 7 1.05174- 1 1.00000+ 1 3.30000+ 1 1.04055- 6 1.05181- 1 1.10000+ 1 1.10000+ 1 8.96260- 5 1.02038- 1 1.10000+ 1 1.30000+ 1 2.69854- 5 1.02571- 1 1.10000+ 1 1.40000+ 1 2.07420- 5 1.02735- 1 1.10000+ 1 1.60000+ 1 2.86504- 5 1.04763- 1 1.10000+ 1 1.80000+ 1 4.56124- 5 1.04912- 1 1.10000+ 1 1.90000+ 1 4.53334- 5 1.05118- 1 1.10000+ 1 2.10000+ 1 7.63092- 6 1.05359- 1 1.10000+ 1 2.20000+ 1 5.86204- 6 1.05397- 1 1.10000+ 1 2.40000+ 1 1.04055- 7 1.05715- 1 1.10000+ 1 2.50000+ 1 1.38736- 7 1.05725- 1 1.10000+ 1 2.70000+ 1 7.00638- 6 1.05779- 1 1.10000+ 1 2.90000+ 1 1.04750- 5 1.05836- 1 1.10000+ 1 3.00000+ 1 1.03365- 5 1.05884- 1 1.10000+ 1 3.20000+ 1 1.45672- 6 1.05970- 1 1.10000+ 1 3.30000+ 1 1.10994- 6 1.05977- 1 1.30000+ 1 1.30000+ 1 6.93693- 8 1.03105- 1 1.30000+ 1 1.40000+ 1 2.94830- 6 1.03269- 1 1.30000+ 1 1.60000+ 1 2.42793- 6 1.05297- 1 1.30000+ 1 1.80000+ 1 2.46267- 6 1.05445- 1 1.30000+ 1 1.90000+ 1 6.48617- 6 1.05651- 1 1.30000+ 1 2.10000+ 1 3.46864- 8 1.05893- 1 1.30000+ 1 2.20000+ 1 7.97783- 7 1.05931- 1 1.30000+ 1 2.70000+ 1 5.89635- 7 1.06313- 1 1.30000+ 1 2.90000+ 1 5.54979- 7 1.06370- 1 1.30000+ 1 3.00000+ 1 1.45672- 6 1.06418- 1 1.30000+ 1 3.30000+ 1 1.38736- 7 1.06510- 1 1.40000+ 1 1.40000+ 1 6.93674- 7 1.03433- 1 1.40000+ 1 1.60000+ 1 1.45668- 6 1.05461- 1 1.40000+ 1 1.80000+ 1 4.47435- 6 1.05609- 1 1.40000+ 1 1.90000+ 1 4.92522- 6 1.05815- 1 1.40000+ 1 2.10000+ 1 7.97761- 7 1.06057- 1 1.40000+ 1 2.20000+ 1 3.81553- 7 1.06095- 1 1.40000+ 1 2.70000+ 1 3.46854- 7 1.06477- 1 1.40000+ 1 2.90000+ 1 1.00587- 6 1.06534- 1 1.40000+ 1 3.00000+ 1 1.10991- 6 1.06582- 1 1.40000+ 1 3.20000+ 1 1.38732- 7 1.06667- 1 1.40000+ 1 3.30000+ 1 6.93674- 8 1.06674- 1 1.60000+ 1 1.60000+ 1 1.14115- 5 1.07489- 1 1.60000+ 1 1.80000+ 1 1.85567- 5 1.07637- 1 1.60000+ 1 1.90000+ 1 7.49203- 6 1.07843- 1 1.60000+ 1 2.10000+ 1 6.93696- 7 1.08085- 1 1.60000+ 1 2.20000+ 1 4.16221- 7 1.08123- 1 1.60000+ 1 2.70000+ 1 5.65368- 6 1.08505- 1 1.60000+ 1 2.90000+ 1 4.30081- 6 1.08562- 1 1.60000+ 1 3.00000+ 1 1.73427- 6 1.08610- 1 1.60000+ 1 3.20000+ 1 1.38737- 7 1.08695- 1 1.60000+ 1 3.30000+ 1 6.93696- 8 1.08702- 1 1.80000+ 1 1.80000+ 1 6.24331- 7 1.07785- 1 1.80000+ 1 1.90000+ 1 1.14808- 5 1.07992- 1 1.80000+ 1 2.10000+ 1 6.93688- 7 1.08233- 1 1.80000+ 1 2.20000+ 1 1.24875- 6 1.08271- 1 1.80000+ 1 2.50000+ 1 3.46861- 8 1.08599- 1 1.80000+ 1 2.70000+ 1 4.57831- 6 1.08653- 1 1.80000+ 1 2.90000+ 1 2.77493- 7 1.08710- 1 1.80000+ 1 3.00000+ 1 2.60136- 6 1.08758- 1 1.80000+ 1 3.20000+ 1 1.38735- 7 1.08843- 1 1.80000+ 1 3.30000+ 1 2.42792- 7 1.08851- 1 1.90000+ 1 1.90000+ 1 5.72297- 6 1.08198- 1 1.90000+ 1 2.10000+ 1 1.83831- 6 1.08439- 1 1.90000+ 1 2.20000+ 1 1.38733- 6 1.08477- 1 1.90000+ 1 2.40000+ 1 3.46855- 8 1.08795- 1 1.90000+ 1 2.50000+ 1 3.46855- 8 1.08805- 1 1.90000+ 1 2.70000+ 1 1.83831- 6 1.08859- 1 1.90000+ 1 2.90000+ 1 2.63605- 6 1.08916- 1 1.90000+ 1 3.00000+ 1 2.60132- 6 1.08964- 1 1.90000+ 1 3.20000+ 1 3.46855- 7 1.09050- 1 1.90000+ 1 3.30000+ 1 2.77488- 7 1.09057- 1 2.10000+ 1 2.20000+ 1 2.08112- 7 1.08719- 1 2.10000+ 1 2.70000+ 1 1.73433- 7 1.09100- 1 2.10000+ 1 2.90000+ 1 1.73433- 7 1.09158- 1 2.10000+ 1 3.00000+ 1 4.16235- 7 1.09206- 1 2.10000+ 1 3.30000+ 1 3.46876- 8 1.09298- 1 2.20000+ 1 2.20000+ 1 6.93696- 8 1.08757- 1 2.20000+ 1 2.70000+ 1 1.04056- 7 1.09139- 1 2.20000+ 1 2.90000+ 1 2.77497- 7 1.09196- 1 2.20000+ 1 3.00000+ 1 3.12175- 7 1.09244- 1 2.20000+ 1 3.20000+ 1 3.46865- 8 1.09329- 1 2.20000+ 1 3.30000+ 1 3.46865- 8 1.09336- 1 2.70000+ 1 2.70000+ 1 6.79958- 7 1.09520- 1 2.70000+ 1 2.90000+ 1 1.05396- 6 1.09578- 1 2.70000+ 1 3.00000+ 1 4.07979- 7 1.09626- 1 2.70000+ 1 3.20000+ 1 3.39996- 8 1.09711- 1 2.70000+ 1 3.30000+ 1 3.39996- 8 1.09718- 1 2.90000+ 1 2.90000+ 1 3.46870- 8 1.09635- 1 2.90000+ 1 3.00000+ 1 5.89645- 7 1.09683- 1 2.90000+ 1 3.20000+ 1 3.46870- 8 1.09768- 1 2.90000+ 1 3.30000+ 1 6.93705- 8 1.09775- 1 3.00000+ 1 3.00000+ 1 2.97723- 7 1.09731- 1 3.00000+ 1 3.20000+ 1 6.61583- 8 1.09816- 1 3.00000+ 1 3.30000+ 1 6.61583- 8 1.09823- 1 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.23570- 5 6.98000- 4 6.00000+ 0 6.73288- 3 4.16300- 3 1.00000+ 1 4.78298- 2 1.56464- 2 1.10000+ 1 4.38299- 2 1.64418- 2 1.30000+ 1 2.10939- 3 1.69756- 2 1.40000+ 1 3.14739- 3 1.71394- 2 1.80000+ 1 1.28230- 2 1.93157- 2 1.90000+ 1 1.32990- 2 1.95218- 2 2.10000+ 1 3.52099- 4 1.97632- 2 2.20000+ 1 5.63288- 4 1.98014- 2 2.90000+ 1 3.02269- 3 2.02406- 2 3.00000+ 1 3.17559- 3 2.02886- 2 3.20000+ 1 6.12458- 5 2.03738- 2 3.30000+ 1 9.90727- 5 2.03809- 2 4.30000+ 1 5.51618- 4 2.04445- 2 4.40000+ 1 5.49958- 4 2.04530- 2 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.10000+ 1 4.35854- 3 0.00000+ 0 5.00000+ 0 2.20000+ 1 5.51228- 3 2.13600- 5 5.00000+ 0 2.40000+ 1 1.28792- 2 3.39450- 4 5.00000+ 0 2.50000+ 1 1.72604- 2 3.49310- 4 5.00000+ 0 2.70000+ 1 4.94181- 3 4.03240- 4 5.00000+ 0 2.90000+ 1 3.92162- 3 4.60570- 4 5.00000+ 0 3.00000+ 1 3.23452- 3 5.08590- 4 5.00000+ 0 3.20000+ 1 8.41369- 4 5.93770- 4 5.00000+ 0 3.30000+ 1 1.08408- 3 6.00890- 4 6.00000+ 0 1.10000+ 1 3.71889- 2 1.26800- 4 6.00000+ 0 1.30000+ 1 2.08697- 1 6.60600- 4 6.00000+ 0 1.40000+ 1 2.54942- 1 8.24400- 4 6.00000+ 0 1.60000+ 1 1.69110- 2 2.85240- 3 6.00000+ 0 1.80000+ 1 6.59596- 3 3.00070- 3 6.00000+ 0 1.90000+ 1 9.38254- 3 3.20684- 3 6.00000+ 0 2.10000+ 1 3.15404- 2 3.44819- 3 6.00000+ 0 2.20000+ 1 3.65842- 2 3.48636- 3 6.00000+ 0 2.40000+ 1 1.98104- 2 3.80445- 3 6.00000+ 0 2.50000+ 1 2.43218- 2 3.81431- 3 6.00000+ 0 2.70000+ 1 3.96608- 3 3.86824- 3 6.00000+ 0 2.90000+ 1 1.50778- 3 3.92557- 3 6.00000+ 0 3.00000+ 1 2.13853- 3 3.97359- 3 6.00000+ 0 3.20000+ 1 5.46943- 3 4.05877- 3 6.00000+ 0 3.30000+ 1 6.22161- 3 4.06589- 3 8.00000+ 0 8.00000+ 0 5.31615- 3 1.01622- 2 8.00000+ 0 1.00000+ 1 1.11101- 2 1.04885- 2 8.00000+ 0 1.10000+ 1 1.60049- 2 1.12839- 2 8.00000+ 0 1.30000+ 1 1.14005- 2 1.18177- 2 8.00000+ 0 1.40000+ 1 1.39425- 2 1.19815- 2 8.00000+ 0 1.60000+ 1 2.37491- 3 1.40095- 2 8.00000+ 0 1.80000+ 1 2.83615- 3 1.41578- 2 8.00000+ 0 1.90000+ 1 4.06108- 3 1.43639- 2 8.00000+ 0 2.10000+ 1 2.72392- 3 1.46053- 2 8.00000+ 0 2.20000+ 1 3.31652- 3 1.46435- 2 8.00000+ 0 2.40000+ 1 2.49295- 4 1.49615- 2 8.00000+ 0 2.50000+ 1 2.61470- 4 1.49714- 2 8.00000+ 0 2.70000+ 1 5.72443- 4 1.50253- 2 8.00000+ 0 2.90000+ 1 6.55320- 4 1.50827- 2 8.00000+ 0 3.00000+ 1 9.25668- 4 1.51307- 2 8.00000+ 0 3.20000+ 1 5.03292- 4 1.52159- 2 8.00000+ 0 3.30000+ 1 6.07533- 4 1.52230- 2 1.00000+ 1 1.00000+ 1 1.42460- 5 1.08148- 2 1.00000+ 1 1.10000+ 1 2.04834- 4 1.16102- 2 1.00000+ 1 1.30000+ 1 7.16809- 4 1.21440- 2 1.00000+ 1 1.40000+ 1 5.16252- 3 1.23078- 2 1.00000+ 1 1.60000+ 1 1.96384- 3 1.43358- 2 1.00000+ 1 1.80000+ 1 1.73738- 6 1.44841- 2 1.00000+ 1 1.90000+ 1 4.18697- 5 1.46902- 2 1.00000+ 1 2.10000+ 1 1.44202- 4 1.49316- 2 1.00000+ 1 2.20000+ 1 7.90807- 4 1.49698- 2 1.00000+ 1 2.40000+ 1 9.38173- 5 1.52878- 2 1.00000+ 1 2.50000+ 1 3.24007- 4 1.52977- 2 1.00000+ 1 2.70000+ 1 4.44579- 4 1.53516- 2 1.00000+ 1 2.90000+ 1 3.47464- 7 1.54090- 2 1.00000+ 1 3.00000+ 1 9.03442- 6 1.54570- 2 1.00000+ 1 3.20000+ 1 2.62343- 5 1.55422- 2 1.00000+ 1 3.30000+ 1 1.33079- 4 1.55493- 2 1.10000+ 1 1.10000+ 1 6.66741- 4 1.24056- 2 1.10000+ 1 1.30000+ 1 1.46633- 3 1.29394- 2 1.10000+ 1 1.40000+ 1 8.97831- 4 1.31032- 2 1.10000+ 1 1.60000+ 1 2.75204- 3 1.51312- 2 1.10000+ 1 1.80000+ 1 5.33345- 5 1.52795- 2 1.10000+ 1 1.90000+ 1 2.62159- 4 1.54856- 2 1.10000+ 1 2.10000+ 1 1.53231- 4 1.57270- 2 1.10000+ 1 2.20000+ 1 6.84491- 5 1.57652- 2 1.10000+ 1 2.40000+ 1 1.15697- 4 1.60832- 2 1.10000+ 1 2.50000+ 1 9.95476- 5 1.60931- 2 1.10000+ 1 2.70000+ 1 6.18644- 4 1.61470- 2 1.10000+ 1 2.90000+ 1 1.23355- 5 1.62044- 2 1.10000+ 1 3.00000+ 1 5.66354- 5 1.62524- 2 1.10000+ 1 3.20000+ 1 2.39742- 5 1.63376- 2 1.10000+ 1 3.30000+ 1 9.72890- 6 1.63447- 2 1.30000+ 1 1.30000+ 1 6.50576- 4 1.34732- 2 1.30000+ 1 1.40000+ 1 1.82083- 2 1.36370- 2 1.30000+ 1 1.60000+ 1 1.76506- 3 1.56650- 2 1.30000+ 1 1.80000+ 1 2.15252- 4 1.58133- 2 1.30000+ 1 1.90000+ 1 4.06864- 4 1.60194- 2 1.30000+ 1 2.10000+ 1 3.02634- 4 1.62608- 2 1.30000+ 1 2.20000+ 1 3.02094- 3 1.62990- 2 1.30000+ 1 2.40000+ 1 2.49472- 4 1.66170- 2 1.30000+ 1 2.50000+ 1 6.79119- 4 1.66269- 2 1.30000+ 1 2.70000+ 1 3.87411- 4 1.66808- 2 1.30000+ 1 2.90000+ 1 5.15980- 5 1.67382- 2 1.30000+ 1 3.00000+ 1 9.50304- 5 1.67862- 2 1.30000+ 1 3.20000+ 1 5.57658- 5 1.68714- 2 1.30000+ 1 3.30000+ 1 5.13877- 4 1.68785- 2 1.40000+ 1 1.40000+ 1 4.96908- 3 1.38008- 2 1.40000+ 1 1.60000+ 1 2.19260- 3 1.58288- 2 1.40000+ 1 1.80000+ 1 1.16003- 3 1.59771- 2 1.40000+ 1 1.90000+ 1 2.42889- 4 1.61832- 2 1.40000+ 1 2.10000+ 1 2.89476- 3 1.64246- 2 1.40000+ 1 2.20000+ 1 1.73984- 3 1.64628- 2 1.40000+ 1 2.40000+ 1 7.44801- 4 1.67808- 2 1.40000+ 1 2.50000+ 1 5.53527- 4 1.67907- 2 1.40000+ 1 2.70000+ 1 4.84734- 4 1.68446- 2 1.40000+ 1 2.90000+ 1 2.61131- 4 1.69020- 2 1.40000+ 1 3.00000+ 1 5.68126- 5 1.69500- 2 1.40000+ 1 3.20000+ 1 4.91862- 4 1.70352- 2 1.40000+ 1 3.30000+ 1 2.99879- 4 1.70423- 2 1.60000+ 1 1.60000+ 1 2.50517- 4 1.78568- 2 1.60000+ 1 1.80000+ 1 5.02603- 4 1.80051- 2 1.60000+ 1 1.90000+ 1 7.02247- 4 1.82112- 2 1.60000+ 1 2.10000+ 1 4.24942- 4 1.84526- 2 1.60000+ 1 2.20000+ 1 5.21545- 4 1.84908- 2 1.60000+ 1 2.40000+ 1 3.24875- 5 1.88088- 2 1.60000+ 1 2.50000+ 1 3.23143- 5 1.88187- 2 1.60000+ 1 2.70000+ 1 1.19182- 4 1.88726- 2 1.60000+ 1 2.90000+ 1 1.16228- 4 1.89300- 2 1.60000+ 1 3.00000+ 1 1.60180- 4 1.89780- 2 1.60000+ 1 3.20000+ 1 7.86967- 5 1.90632- 2 1.60000+ 1 3.30000+ 1 9.55487- 5 1.90703- 2 1.80000+ 1 1.90000+ 1 1.09450- 5 1.83595- 2 1.80000+ 1 2.10000+ 1 3.92635- 5 1.86009- 2 1.80000+ 1 2.20000+ 1 1.85371- 4 1.86391- 2 1.80000+ 1 2.40000+ 1 1.33769- 5 1.89571- 2 1.80000+ 1 2.50000+ 1 5.26403- 5 1.89670- 2 1.80000+ 1 2.70000+ 1 1.13795- 4 1.90209- 2 1.80000+ 1 3.00000+ 1 2.43220- 6 1.91263- 2 1.80000+ 1 3.20000+ 1 6.94912- 6 1.92115- 2 1.80000+ 1 3.30000+ 1 3.14455- 5 1.92186- 2 1.90000+ 1 1.90000+ 1 2.48428- 5 1.85657- 2 1.90000+ 1 2.10000+ 1 4.46476- 5 1.88070- 2 1.90000+ 1 2.20000+ 1 2.17152- 5 1.88452- 2 1.90000+ 1 2.40000+ 1 2.67540- 5 1.91633- 2 1.90000+ 1 2.50000+ 1 2.22367- 5 1.91731- 2 1.90000+ 1 2.70000+ 1 1.57923- 4 1.92271- 2 1.90000+ 1 2.90000+ 1 2.60593- 6 1.92844- 2 1.90000+ 1 3.00000+ 1 1.05973- 5 1.93324- 2 1.90000+ 1 3.20000+ 1 6.94891- 6 1.94176- 2 1.90000+ 1 3.30000+ 1 3.12703- 6 1.94247- 2 2.10000+ 1 2.10000+ 1 3.24872- 5 1.90484- 2 2.10000+ 1 2.20000+ 1 5.26055- 4 1.90865- 2 2.10000+ 1 2.40000+ 1 4.03053- 5 1.94046- 2 2.10000+ 1 2.50000+ 1 8.23482- 5 1.94145- 2 2.10000+ 1 2.70000+ 1 9.32901- 5 1.94684- 2 2.10000+ 1 2.90000+ 1 9.20747- 6 1.95258- 2 2.10000+ 1 3.00000+ 1 1.05975- 5 1.95738- 2 2.10000+ 1 3.20000+ 1 1.18139- 5 1.96590- 2 2.10000+ 1 3.30000+ 1 9.10324- 5 1.96661- 2 2.20000+ 1 2.20000+ 1 1.63474- 4 1.91247- 2 2.20000+ 1 2.40000+ 1 9.67645- 5 1.94428- 2 2.20000+ 1 2.50000+ 1 7.95721- 5 1.94527- 2 2.20000+ 1 2.70000+ 1 1.15187- 4 1.95066- 2 2.20000+ 1 2.90000+ 1 4.20429- 5 1.95639- 2 2.20000+ 1 3.00000+ 1 5.21196- 6 1.96119- 2 2.20000+ 1 3.20000+ 1 9.08615- 5 1.96971- 2 2.20000+ 1 3.30000+ 1 5.69835- 5 1.97042- 2 2.40000+ 1 2.40000+ 1 1.21615- 6 1.97609- 2 2.40000+ 1 2.50000+ 1 2.11953- 5 1.97708- 2 2.40000+ 1 2.70000+ 1 6.94913- 6 1.98247- 2 2.40000+ 1 2.90000+ 1 2.77971- 6 1.98820- 2 2.40000+ 1 3.00000+ 1 5.90678- 6 1.99300- 2 2.40000+ 1 3.20000+ 1 6.94913- 6 2.00152- 2 2.40000+ 1 3.30000+ 1 1.56356- 5 2.00223- 2 2.50000+ 1 2.50000+ 1 4.72113- 6 1.97806- 2 2.50000+ 1 2.70000+ 1 7.08153- 6 1.98345- 2 2.50000+ 1 2.90000+ 1 1.14395- 5 1.98919- 2 2.50000+ 1 3.00000+ 1 5.08423- 6 1.99399- 2 2.50000+ 1 3.20000+ 1 1.38002- 5 2.00251- 2 2.50000+ 1 3.30000+ 1 1.38002- 5 2.00322- 2 2.70000+ 1 2.70000+ 1 1.59041- 5 1.98885- 2 2.70000+ 1 2.90000+ 1 2.96483- 5 1.99458- 2 2.70000+ 1 3.00000+ 1 4.06416- 5 1.99938- 2 2.70000+ 1 3.20000+ 1 1.94378- 5 2.00790- 2 2.70000+ 1 3.30000+ 1 2.37578- 5 2.00861- 2 2.90000+ 1 3.00000+ 1 6.10378- 7 2.00512- 2 2.90000+ 1 3.20000+ 1 1.83110- 6 2.01363- 2 2.90000+ 1 3.30000+ 1 8.34148- 6 2.01435- 2 3.00000+ 1 3.00000+ 1 1.59891- 6 2.00992- 2 3.00000+ 1 3.20000+ 1 2.28417- 6 2.01844- 2 3.00000+ 1 3.30000+ 1 1.14201- 6 2.01915- 2 3.20000+ 1 3.20000+ 1 1.04239- 6 2.02695- 2 3.20000+ 1 3.30000+ 1 1.58106- 5 2.02767- 2 3.30000+ 1 3.30000+ 1 4.91878- 6 2.02838- 2 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 3.05831- 5 3.46500- 3 8.00000+ 0 1.04830- 2 1.46221- 2 1.10000+ 1 5.17682- 4 1.57438- 2 1.30000+ 1 3.75571- 1 1.62776- 2 1.60000+ 1 2.81931- 3 1.84694- 2 1.90000+ 1 1.53880- 4 1.88238- 2 2.10000+ 1 8.34752- 2 1.90652- 2 2.40000+ 1 4.86391- 4 1.94214- 2 2.70000+ 1 7.06982- 4 1.94852- 2 3.00000+ 1 3.66071- 5 1.95906- 2 3.20000+ 1 1.55650- 2 1.96758- 2 4.10000+ 1 1.48240- 4 1.97294- 2 4.40000+ 1 5.78382- 6 1.97550- 2 5.80000+ 1 1.23700- 5 1.97740- 2 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.40000+ 1 4.57800- 2 1.26400- 4 6.00000+ 0 1.60000+ 1 3.76318- 3 2.15440- 3 6.00000+ 0 1.80000+ 1 3.03294- 2 2.30270- 3 6.00000+ 0 1.90000+ 1 7.36735- 3 2.50884- 3 6.00000+ 0 2.10000+ 1 2.73187- 2 2.75019- 3 6.00000+ 0 2.20000+ 1 9.25335- 3 2.78836- 3 6.00000+ 0 2.40000+ 1 1.32315- 3 3.10645- 3 6.00000+ 0 2.50000+ 1 1.91547- 3 3.11631- 3 6.00000+ 0 2.70000+ 1 8.56892- 4 3.17024- 3 6.00000+ 0 2.90000+ 1 6.38305- 3 3.22757- 3 6.00000+ 0 3.00000+ 1 1.63152- 3 3.27559- 3 6.00000+ 0 3.20000+ 1 4.83265- 3 3.36077- 3 6.00000+ 0 3.30000+ 1 1.64576- 3 3.36789- 3 8.00000+ 0 8.00000+ 0 4.24367- 4 9.46420- 3 8.00000+ 0 1.00000+ 1 1.71205- 2 9.79050- 3 8.00000+ 0 1.10000+ 1 1.52467- 3 1.05859- 2 8.00000+ 0 1.30000+ 1 3.13610- 3 1.11197- 2 8.00000+ 0 1.40000+ 1 1.22411- 3 1.12835- 2 8.00000+ 0 1.60000+ 1 1.69681- 4 1.33115- 2 8.00000+ 0 1.80000+ 1 2.88561- 3 1.34598- 2 8.00000+ 0 1.90000+ 1 3.47863- 4 1.36659- 2 8.00000+ 0 2.10000+ 1 5.32483- 4 1.39073- 2 8.00000+ 0 2.20000+ 1 1.76824- 4 1.39455- 2 8.00000+ 0 2.40000+ 1 7.34496- 5 1.42635- 2 8.00000+ 0 2.50000+ 1 5.33859- 5 1.42734- 2 8.00000+ 0 2.70000+ 1 3.97854- 5 1.43273- 2 8.00000+ 0 2.90000+ 1 6.08672- 4 1.43847- 2 8.00000+ 0 3.00000+ 1 7.75286- 5 1.44327- 2 8.00000+ 0 3.20000+ 1 9.24925- 5 1.45179- 2 8.00000+ 0 3.30000+ 1 2.95832- 5 1.45250- 2 1.00000+ 1 1.00000+ 1 1.82501- 2 1.01168- 2 1.00000+ 1 1.10000+ 1 4.21118- 2 1.09122- 2 1.00000+ 1 1.30000+ 1 2.13358- 2 1.14460- 2 1.00000+ 1 1.40000+ 1 2.77873- 2 1.16098- 2 1.00000+ 1 1.60000+ 1 4.60029- 3 1.36378- 2 1.00000+ 1 1.80000+ 1 7.83292- 3 1.37861- 2 1.00000+ 1 1.90000+ 1 1.04859- 2 1.39922- 2 1.00000+ 1 2.10000+ 1 5.08486- 3 1.42336- 2 1.00000+ 1 2.20000+ 1 6.63752- 3 1.42718- 2 1.00000+ 1 2.40000+ 1 4.10414- 4 1.45898- 2 1.00000+ 1 2.50000+ 1 3.35957- 4 1.45997- 2 1.00000+ 1 2.70000+ 1 1.14594- 3 1.46536- 2 1.00000+ 1 2.90000+ 1 1.75358- 3 1.47110- 2 1.00000+ 1 3.00000+ 1 2.38092- 3 1.47590- 2 1.00000+ 1 3.20000+ 1 9.39853- 4 1.48442- 2 1.00000+ 1 3.30000+ 1 1.21737- 3 1.48513- 2 1.10000+ 1 1.10000+ 1 8.79685- 4 1.17076- 2 1.10000+ 1 1.30000+ 1 1.68769- 2 1.22414- 2 1.10000+ 1 1.40000+ 1 2.57067- 3 1.24052- 2 1.10000+ 1 1.60000+ 1 3.41054- 4 1.44332- 2 1.10000+ 1 1.80000+ 1 7.15821- 3 1.45815- 2 1.10000+ 1 1.90000+ 1 3.78470- 4 1.47876- 2 1.10000+ 1 2.10000+ 1 3.42379- 3 1.50290- 2 1.10000+ 1 2.20000+ 1 5.06321- 4 1.50672- 2 1.10000+ 1 2.40000+ 1 1.39406- 4 1.53852- 2 1.10000+ 1 2.50000+ 1 7.03889- 5 1.53951- 2 1.10000+ 1 2.70000+ 1 8.12666- 5 1.54490- 2 1.10000+ 1 2.90000+ 1 1.51179- 3 1.55064- 2 1.10000+ 1 3.00000+ 1 8.33066- 5 1.55544- 2 1.10000+ 1 3.20000+ 1 6.12041- 4 1.56396- 2 1.10000+ 1 3.30000+ 1 8.97681- 5 1.56467- 2 1.30000+ 1 1.30000+ 1 1.60177- 2 1.27752- 2 1.30000+ 1 1.40000+ 1 6.18993- 2 1.29390- 2 1.30000+ 1 1.60000+ 1 8.43645- 4 1.49670- 2 1.30000+ 1 1.80000+ 1 3.48453- 3 1.51153- 2 1.30000+ 1 1.90000+ 1 3.86504- 3 1.53214- 2 1.30000+ 1 2.10000+ 1 6.32913- 3 1.55628- 2 1.30000+ 1 2.20000+ 1 1.32189- 2 1.56010- 2 1.30000+ 1 2.40000+ 1 1.32654- 3 1.59190- 2 1.30000+ 1 2.50000+ 1 2.64317- 3 1.59289- 2 1.30000+ 1 2.70000+ 1 2.10832- 4 1.59828- 2 1.30000+ 1 2.90000+ 1 7.36191- 4 1.60402- 2 1.30000+ 1 3.00000+ 1 8.61346- 4 1.60882- 2 1.30000+ 1 3.20000+ 1 1.13232- 3 1.61734- 2 1.30000+ 1 3.30000+ 1 2.37179- 3 1.61805- 2 1.40000+ 1 1.40000+ 1 3.02125- 3 1.31028- 2 1.40000+ 1 1.60000+ 1 2.64878- 4 1.51308- 2 1.40000+ 1 1.80000+ 1 3.98140- 3 1.52791- 2 1.40000+ 1 1.90000+ 1 5.43380- 4 1.54852- 2 1.40000+ 1 2.10000+ 1 1.00356- 2 1.57266- 2 1.40000+ 1 2.20000+ 1 1.17679- 3 1.57648- 2 1.40000+ 1 2.40000+ 1 5.28748- 4 1.60828- 2 1.40000+ 1 2.50000+ 1 2.00958- 4 1.60927- 2 1.40000+ 1 2.70000+ 1 6.29054- 5 1.61466- 2 1.40000+ 1 2.90000+ 1 8.08268- 4 1.62040- 2 1.40000+ 1 3.00000+ 1 1.19005- 4 1.62520- 2 1.40000+ 1 3.20000+ 1 1.71744- 3 1.63372- 2 1.40000+ 1 3.30000+ 1 2.08437- 4 1.63443- 2 1.60000+ 1 1.60000+ 1 1.63215- 5 1.71588- 2 1.60000+ 1 1.80000+ 1 7.79344- 4 1.73071- 2 1.60000+ 1 1.90000+ 1 7.82045- 5 1.75132- 2 1.60000+ 1 2.10000+ 1 1.40094- 4 1.77546- 2 1.60000+ 1 2.20000+ 1 3.80833- 5 1.77928- 2 1.60000+ 1 2.40000+ 1 1.70012- 5 1.81108- 2 1.60000+ 1 2.50000+ 1 9.86090- 6 1.81207- 2 1.60000+ 1 2.70000+ 1 7.48082- 6 1.81746- 2 1.60000+ 1 2.90000+ 1 1.64570- 4 1.82320- 2 1.60000+ 1 3.00000+ 1 1.73405- 5 1.82800- 2 1.60000+ 1 3.20000+ 1 2.41420- 5 1.83652- 2 1.60000+ 1 3.30000+ 1 6.46037- 6 1.83723- 2 1.80000+ 1 1.80000+ 1 7.98395- 4 1.74554- 2 1.80000+ 1 1.90000+ 1 1.78822- 3 1.76615- 2 1.80000+ 1 2.10000+ 1 8.18795- 4 1.79029- 2 1.80000+ 1 2.20000+ 1 9.61637- 4 1.79411- 2 1.80000+ 1 2.40000+ 1 5.54257- 5 1.82591- 2 1.80000+ 1 2.50000+ 1 3.50237- 5 1.82690- 2 1.80000+ 1 2.70000+ 1 1.94157- 4 1.83229- 2 1.80000+ 1 2.90000+ 1 3.53640- 4 1.83803- 2 1.80000+ 1 3.00000+ 1 4.06014- 4 1.84283- 2 1.80000+ 1 3.20000+ 1 1.50982- 4 1.85135- 2 1.80000+ 1 3.30000+ 1 1.76823- 4 1.85206- 2 1.90000+ 1 1.90000+ 1 4.08058- 5 1.78677- 2 1.90000+ 1 2.10000+ 1 7.89581- 4 1.81090- 2 1.90000+ 1 2.20000+ 1 1.08472- 4 1.81472- 2 1.90000+ 1 2.40000+ 1 2.85635- 5 1.84653- 2 1.90000+ 1 2.50000+ 1 1.32613- 5 1.84751- 2 1.90000+ 1 2.70000+ 1 1.87026- 5 1.85291- 2 1.90000+ 1 2.90000+ 1 3.77785- 4 1.85864- 2 1.90000+ 1 3.00000+ 1 1.80230- 5 1.86344- 2 1.90000+ 1 3.20000+ 1 1.41467- 4 1.87196- 2 1.90000+ 1 3.30000+ 1 1.90420- 5 1.87267- 2 2.10000+ 1 2.10000+ 1 6.21583- 4 1.83504- 2 2.10000+ 1 2.20000+ 1 2.23402- 3 1.83885- 2 2.10000+ 1 2.40000+ 1 1.80228- 4 1.87066- 2 2.10000+ 1 2.50000+ 1 3.61130- 4 1.87165- 2 2.10000+ 1 2.70000+ 1 3.46843- 5 1.87704- 2 2.10000+ 1 2.90000+ 1 1.72066- 4 1.88278- 2 2.10000+ 1 3.00000+ 1 1.76132- 4 1.88758- 2 2.10000+ 1 3.20000+ 1 2.22047- 4 1.89610- 2 2.10000+ 1 3.30000+ 1 4.03621- 4 1.89681- 2 2.20000+ 1 2.20000+ 1 1.15951- 4 1.84267- 2 2.20000+ 1 2.40000+ 1 7.85488- 5 1.87448- 2 2.20000+ 1 2.50000+ 1 3.06043- 5 1.87547- 2 2.20000+ 1 2.70000+ 1 8.84126- 6 1.88086- 2 2.20000+ 1 2.90000+ 1 1.95859- 4 1.88659- 2 2.20000+ 1 3.00000+ 1 2.38016- 5 1.89139- 2 2.20000+ 1 3.20000+ 1 3.85271- 4 1.89991- 2 2.20000+ 1 3.30000+ 1 4.11448- 5 1.90062- 2 2.40000+ 1 2.40000+ 1 4.42049- 6 1.90629- 2 2.40000+ 1 2.50000+ 1 3.12840- 5 1.90728- 2 2.40000+ 1 2.70000+ 1 4.08055- 6 1.91267- 2 2.40000+ 1 2.90000+ 1 1.12212- 5 1.91840- 2 2.40000+ 1 3.00000+ 1 6.12048- 6 1.92320- 2 2.40000+ 1 3.20000+ 1 2.99227- 5 1.93172- 2 2.40000+ 1 3.30000+ 1 1.29209- 5 1.93243- 2 2.50000+ 1 2.50000+ 1 2.04022- 6 1.90826- 2 2.50000+ 1 2.70000+ 1 2.38016- 6 1.91365- 2 2.50000+ 1 2.90000+ 1 6.46061- 6 1.91939- 2 2.50000+ 1 3.00000+ 1 2.72040- 6 1.92419- 2 2.50000+ 1 3.20000+ 1 5.98484- 5 1.93271- 2 2.50000+ 1 3.30000+ 1 5.10046- 6 1.93342- 2 2.70000+ 1 2.70000+ 1 1.02010- 6 1.91905- 2 2.70000+ 1 2.90000+ 1 4.11441- 5 1.92478- 2 2.70000+ 1 3.00000+ 1 4.08047- 6 1.92958- 2 2.70000+ 1 3.20000+ 1 6.12037- 6 1.93810- 2 2.70000+ 1 3.30000+ 1 1.36011- 6 1.93881- 2 2.90000+ 1 2.90000+ 1 3.91047- 5 1.93051- 2 2.90000+ 1 3.00000+ 1 8.56888- 5 1.93532- 2 2.90000+ 1 3.20000+ 1 3.16232- 5 1.94383- 2 2.90000+ 1 3.30000+ 1 3.60438- 5 1.94455- 2 3.00000+ 1 3.00000+ 1 2.04022- 6 1.94012- 2 3.00000+ 1 3.20000+ 1 3.16233- 5 1.94864- 2 3.00000+ 1 3.30000+ 1 4.08055- 6 1.94935- 2 3.20000+ 1 3.20000+ 1 1.81153- 5 1.95715- 2 3.20000+ 1 3.30000+ 1 6.40289- 5 1.95787- 2 3.30000+ 1 3.30000+ 1 3.44321- 6 1.95858- 2 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 2.02469- 2 1.11571- 2 1.00000+ 1 2.49359- 4 1.14834- 2 1.10000+ 1 2.26319- 4 1.22788- 2 1.30000+ 1 3.37349- 2 1.28126- 2 1.40000+ 1 2.96529- 1 1.29764- 2 1.60000+ 1 5.03129- 3 1.50044- 2 1.80000+ 1 5.58329- 5 1.51527- 2 1.90000+ 1 6.08598- 5 1.53588- 2 2.10000+ 1 6.70758- 3 1.56002- 2 2.20000+ 1 6.12548- 2 1.56384- 2 2.40000+ 1 7.88558- 5 1.59564- 2 2.50000+ 1 4.36209- 4 1.59663- 2 2.70000+ 1 1.24770- 3 1.60202- 2 2.90000+ 1 1.26380- 5 1.60776- 2 3.00000+ 1 1.41650- 5 1.61256- 2 3.20000+ 1 1.22370- 3 1.62108- 2 3.30000+ 1 1.11920- 2 1.62179- 2 4.10000+ 1 2.53889- 4 1.62644- 2 4.30000+ 1 2.24949- 6 1.62815- 2 4.40000+ 1 2.37549- 6 1.62900- 2 5.80000+ 1 2.77519- 5 1.63090- 2 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 4.79115- 4 5.99920- 3 8.00000+ 0 1.00000+ 1 2.14731- 4 6.32550- 3 8.00000+ 0 1.10000+ 1 1.85123- 2 7.12090- 3 8.00000+ 0 1.30000+ 1 2.75827- 3 7.65470- 3 8.00000+ 0 1.40000+ 1 5.38034- 3 7.81850- 3 8.00000+ 0 1.60000+ 1 1.94368- 4 9.84650- 3 8.00000+ 0 1.80000+ 1 3.68000- 5 9.99480- 3 8.00000+ 0 1.90000+ 1 3.04291- 3 1.02009- 2 8.00000+ 0 2.10000+ 1 3.24052- 4 1.04423- 2 8.00000+ 0 2.20000+ 1 5.96311- 4 1.04805- 2 8.00000+ 0 2.40000+ 1 3.09042- 4 1.07985- 2 8.00000+ 0 2.50000+ 1 5.27695- 4 1.08084- 2 8.00000+ 0 2.70000+ 1 4.53755- 5 1.08623- 2 8.00000+ 0 2.90000+ 1 7.86008- 6 1.09197- 2 8.00000+ 0 3.00000+ 1 6.31290- 4 1.09677- 2 8.00000+ 0 3.20000+ 1 5.21633- 5 1.10529- 2 8.00000+ 0 3.30000+ 1 9.32476- 5 1.10600- 2 1.00000+ 1 1.00000+ 1 1.78635- 6 6.65180- 3 1.00000+ 1 1.10000+ 1 3.10426- 2 7.44720- 3 1.00000+ 1 1.30000+ 1 1.34038- 3 7.98100- 3 1.00000+ 1 1.40000+ 1 1.03032- 2 8.14480- 3 1.00000+ 1 1.60000+ 1 4.53747- 5 1.01728- 2 1.00000+ 1 1.80000+ 1 7.50287- 6 1.03211- 2 1.00000+ 1 1.90000+ 1 5.29577- 3 1.05272- 2 1.00000+ 1 2.10000+ 1 2.64379- 4 1.07686- 2 1.00000+ 1 2.20000+ 1 1.68917- 3 1.08068- 2 1.00000+ 1 2.40000+ 1 2.71170- 4 1.11248- 2 1.00000+ 1 2.50000+ 1 6.53444- 4 1.11347- 2 1.00000+ 1 2.70000+ 1 1.10759- 5 1.11886- 2 1.00000+ 1 2.90000+ 1 2.14362- 6 1.12460- 2 1.00000+ 1 3.00000+ 1 1.10719- 3 1.12940- 2 1.00000+ 1 3.20000+ 1 4.82310- 5 1.13792- 2 1.00000+ 1 3.30000+ 1 2.90458- 4 1.13863- 2 1.10000+ 1 1.10000+ 1 3.73341- 2 8.24260- 3 1.10000+ 1 1.30000+ 1 3.91456- 2 8.77640- 3 1.10000+ 1 1.40000+ 1 5.02768- 2 8.94020- 3 1.10000+ 1 1.60000+ 1 4.88902- 3 1.09682- 2 1.10000+ 1 1.80000+ 1 7.35870- 3 1.11165- 2 1.10000+ 1 1.90000+ 1 1.54836- 2 1.13226- 2 1.10000+ 1 2.10000+ 1 8.72176- 3 1.15640- 2 1.10000+ 1 2.20000+ 1 1.11175- 2 1.16022- 2 1.10000+ 1 2.40000+ 1 8.96037- 4 1.19202- 2 1.10000+ 1 2.50000+ 1 1.07508- 3 1.19301- 2 1.10000+ 1 2.70000+ 1 1.21257- 3 1.19840- 2 1.10000+ 1 2.90000+ 1 1.67708- 3 1.20414- 2 1.10000+ 1 3.00000+ 1 3.39742- 3 1.20894- 2 1.10000+ 1 3.20000+ 1 1.59409- 3 1.21746- 2 1.10000+ 1 3.30000+ 1 2.01011- 3 1.21817- 2 1.30000+ 1 1.30000+ 1 5.18104- 3 9.31020- 3 1.30000+ 1 1.40000+ 1 9.65123- 2 9.47400- 3 1.30000+ 1 1.60000+ 1 6.70274- 4 1.15020- 2 1.30000+ 1 1.80000+ 1 3.49779- 4 1.16503- 2 1.30000+ 1 1.90000+ 1 6.02512- 3 1.18564- 2 1.30000+ 1 2.10000+ 1 1.94000- 3 1.20978- 2 1.30000+ 1 2.20000+ 1 1.51333- 2 1.21360- 2 1.30000+ 1 2.40000+ 1 4.84138- 4 1.24540- 2 1.30000+ 1 2.50000+ 1 1.62027- 3 1.24639- 2 1.30000+ 1 2.70000+ 1 1.64708- 4 1.25178- 2 1.30000+ 1 2.90000+ 1 8.07482- 5 1.25752- 2 1.30000+ 1 3.00000+ 1 1.23154- 3 1.26232- 2 1.30000+ 1 3.20000+ 1 3.44782- 4 1.27084- 2 1.30000+ 1 3.30000+ 1 2.56173- 3 1.27155- 2 1.40000+ 1 1.40000+ 1 6.37946- 2 9.63780- 3 1.40000+ 1 1.60000+ 1 1.31908- 3 1.16658- 2 1.40000+ 1 1.80000+ 1 2.19749- 3 1.18141- 2 1.40000+ 1 1.90000+ 1 8.67560- 3 1.20202- 2 1.40000+ 1 2.10000+ 1 1.82265- 2 1.22616- 2 1.40000+ 1 2.20000+ 1 2.29694- 2 1.22998- 2 1.40000+ 1 2.40000+ 1 5.07073- 3 1.26178- 2 1.40000+ 1 2.50000+ 1 4.57515- 3 1.26277- 2 1.40000+ 1 2.70000+ 1 3.26208- 4 1.26816- 2 1.40000+ 1 2.90000+ 1 4.90209- 4 1.27390- 2 1.40000+ 1 3.00000+ 1 1.83329- 3 1.27870- 2 1.40000+ 1 3.20000+ 1 3.23113- 3 1.28722- 2 1.40000+ 1 3.30000+ 1 4.01028- 3 1.28793- 2 1.60000+ 1 1.60000+ 1 2.07231- 5 1.36938- 2 1.60000+ 1 1.80000+ 1 8.57515- 6 1.38421- 2 1.60000+ 1 1.90000+ 1 8.02161- 4 1.40482- 2 1.60000+ 1 2.10000+ 1 8.50379- 5 1.42896- 2 1.60000+ 1 2.20000+ 1 1.55061- 4 1.43278- 2 1.60000+ 1 2.40000+ 1 3.89456- 5 1.46458- 2 1.60000+ 1 2.50000+ 1 7.50338- 5 1.46557- 2 1.60000+ 1 2.70000+ 1 9.64683- 6 1.47096- 2 1.60000+ 1 2.90000+ 1 1.78647- 6 1.47670- 2 1.60000+ 1 3.00000+ 1 1.66139- 4 1.48150- 2 1.60000+ 1 3.20000+ 1 1.39340- 5 1.49002- 2 1.60000+ 1 3.30000+ 1 2.46528- 5 1.49073- 2 1.80000+ 1 1.90000+ 1 1.24506- 3 1.41965- 2 1.80000+ 1 2.10000+ 1 6.35925- 5 1.44379- 2 1.80000+ 1 2.20000+ 1 3.93349- 4 1.44761- 2 1.80000+ 1 2.40000+ 1 4.07284- 5 1.47941- 2 1.80000+ 1 2.50000+ 1 9.18190- 5 1.48040- 2 1.80000+ 1 2.70000+ 1 2.14360- 6 1.48579- 2 1.80000+ 1 3.00000+ 1 2.59735- 4 1.49633- 2 1.80000+ 1 3.20000+ 1 1.14325- 5 1.50485- 2 1.80000+ 1 3.30000+ 1 6.82355- 5 1.50556- 2 1.90000+ 1 1.90000+ 1 1.53142- 3 1.44027- 2 1.90000+ 1 2.10000+ 1 1.34770- 3 1.46440- 2 1.90000+ 1 2.20000+ 1 1.89214- 3 1.46822- 2 1.90000+ 1 2.40000+ 1 1.13974- 4 1.50003- 2 1.90000+ 1 2.50000+ 1 1.43985- 4 1.50101- 2 1.90000+ 1 2.70000+ 1 1.99001- 4 1.50641- 2 1.90000+ 1 2.90000+ 1 2.83328- 4 1.51214- 2 1.90000+ 1 3.00000+ 1 6.64911- 4 1.51694- 2 1.90000+ 1 3.20000+ 1 2.46516- 4 1.52546- 2 1.90000+ 1 3.30000+ 1 3.41203- 4 1.52617- 2 2.10000+ 1 2.10000+ 1 1.73996- 4 1.48854- 2 2.10000+ 1 2.20000+ 1 3.00112- 3 1.49235- 2 2.10000+ 1 2.40000+ 1 5.96646- 5 1.52416- 2 2.10000+ 1 2.50000+ 1 1.87932- 4 1.52515- 2 2.10000+ 1 2.70000+ 1 2.10788- 5 1.53054- 2 2.10000+ 1 2.90000+ 1 1.46479- 5 1.53628- 2 2.10000+ 1 3.00000+ 1 2.75827- 4 1.54108- 2 2.10000+ 1 3.20000+ 1 6.14495- 5 1.54960- 2 2.10000+ 1 3.30000+ 1 5.11974- 4 1.55031- 2 2.20000+ 1 2.20000+ 1 2.08158- 3 1.49617- 2 2.20000+ 1 2.40000+ 1 6.17033- 4 1.52798- 2 2.20000+ 1 2.50000+ 1 5.46287- 4 1.52897- 2 2.20000+ 1 2.70000+ 1 3.89439- 5 1.53436- 2 2.20000+ 1 2.90000+ 1 8.89648- 5 1.54009- 2 2.20000+ 1 3.00000+ 1 3.98369- 4 1.54489- 2 2.20000+ 1 3.20000+ 1 5.36273- 4 1.55341- 2 2.20000+ 1 3.30000+ 1 7.26731- 4 1.55412- 2 2.40000+ 1 2.40000+ 1 2.85832- 6 1.55979- 2 2.40000+ 1 2.50000+ 1 8.43153- 5 1.56078- 2 2.40000+ 1 2.70000+ 1 8.21766- 6 1.56617- 2 2.40000+ 1 2.90000+ 1 8.57474- 6 1.57190- 2 2.40000+ 1 3.00000+ 1 2.25090- 5 1.57670- 2 2.40000+ 1 3.20000+ 1 9.64636- 6 1.58522- 2 2.40000+ 1 3.30000+ 1 9.93181- 5 1.58593- 2 2.50000+ 1 2.50000+ 1 3.00104- 5 1.56176- 2 2.50000+ 1 2.70000+ 1 1.64343- 5 1.56715- 2 2.50000+ 1 2.90000+ 1 1.89356- 5 1.57289- 2 2.50000+ 1 3.00000+ 1 2.89391- 5 1.57769- 2 2.50000+ 1 3.20000+ 1 3.00104- 5 1.58621- 2 2.50000+ 1 3.30000+ 1 8.75297- 5 1.58692- 2 2.70000+ 1 2.70000+ 1 1.11605- 6 1.57255- 2 2.70000+ 1 2.90000+ 1 3.72026- 7 1.57828- 2 2.70000+ 1 3.00000+ 1 4.27813- 5 1.58308- 2 2.70000+ 1 3.20000+ 1 3.72026- 6 1.59160- 2 2.70000+ 1 3.30000+ 1 6.32427- 6 1.59231- 2 2.90000+ 1 3.00000+ 1 6.20004- 5 1.58882- 2 2.90000+ 1 3.20000+ 1 2.61435- 6 1.59733- 2 2.90000+ 1 3.30000+ 1 1.60600- 5 1.59805- 2 3.00000+ 1 3.00000+ 1 7.28364- 5 1.59362- 2 3.00000+ 1 3.20000+ 1 5.08397- 5 1.60214- 2 3.00000+ 1 3.30000+ 1 7.24734- 5 1.60285- 2 3.20000+ 1 3.20000+ 1 5.35915- 6 1.61065- 2 3.20000+ 1 3.30000+ 1 9.14616- 5 1.61137- 2 3.30000+ 1 3.30000+ 1 6.35938- 5 1.61208- 2 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.05280- 5 3.26300- 4 1.10000+ 1 9.78718- 4 1.12170- 3 1.80000+ 1 2.39950- 3 3.99560- 3 1.90000+ 1 1.39140- 3 4.20174- 3 2.90000+ 1 6.18539- 4 4.92047- 3 3.00000+ 1 4.07779- 4 4.96849- 3 4.30000+ 1 1.12660- 4 5.12438- 3 4.40000+ 1 7.10299- 5 5.13289- 3 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.50000+ 1 1.21617- 2 0.00000+ 0 1.00000+ 1 2.70000+ 1 1.50973- 2 3.15400- 5 1.00000+ 1 2.90000+ 1 1.56685- 2 8.88700- 5 1.00000+ 1 3.00000+ 1 1.90129- 2 1.36890- 4 1.00000+ 1 3.20000+ 1 1.06401- 2 2.22070- 4 1.00000+ 1 3.30000+ 1 1.39625- 2 2.29190- 4 1.00000+ 1 4.10000+ 1 2.93031- 3 2.75750- 4 1.00000+ 1 4.30000+ 1 2.57005- 3 2.92780- 4 1.00000+ 1 4.40000+ 1 2.96700- 3 3.01290- 4 1.00000+ 1 4.60000+ 1 1.50145- 4 3.20680- 4 1.00000+ 1 4.70000+ 1 1.84336- 4 3.21320- 4 1.00000+ 1 5.80000+ 1 3.38967- 4 3.20330- 4 1.10000+ 1 1.90000+ 1 4.65565- 2 1.65540- 4 1.10000+ 1 2.10000+ 1 1.19605- 2 4.06890- 4 1.10000+ 1 2.20000+ 1 2.73670- 2 4.45060- 4 1.10000+ 1 2.40000+ 1 2.07031- 1 7.63150- 4 1.10000+ 1 2.50000+ 1 2.51433- 1 7.73010- 4 1.10000+ 1 2.70000+ 1 1.19933- 2 8.26940- 4 1.10000+ 1 2.90000+ 1 1.21249- 2 8.84270- 4 1.10000+ 1 3.00000+ 1 1.03282- 2 9.32290- 4 1.10000+ 1 3.20000+ 1 2.44533- 3 1.01747- 3 1.10000+ 1 3.30000+ 1 5.36500- 3 1.02459- 3 1.10000+ 1 4.10000+ 1 2.37584- 3 1.07115- 3 1.10000+ 1 4.30000+ 1 2.05068- 3 1.08818- 3 1.10000+ 1 4.40000+ 1 1.65672- 3 1.09669- 3 1.10000+ 1 4.60000+ 1 3.70699- 5 1.11608- 3 1.10000+ 1 4.70000+ 1 7.54371- 5 1.11672- 3 1.10000+ 1 5.80000+ 1 2.77808- 4 1.11573- 3 1.30000+ 1 1.60000+ 1 2.78045- 2 3.44900- 4 1.30000+ 1 1.80000+ 1 5.87380- 3 4.93200- 4 1.30000+ 1 1.90000+ 1 9.38085- 3 6.99340- 4 1.30000+ 1 2.10000+ 1 9.50389- 3 9.40690- 4 1.30000+ 1 2.20000+ 1 1.14100- 2 9.78860- 4 1.30000+ 1 2.40000+ 1 1.04966- 2 1.29695- 3 1.30000+ 1 2.50000+ 1 9.85270- 3 1.30681- 3 1.30000+ 1 2.70000+ 1 4.28191- 3 1.36074- 3 1.30000+ 1 2.90000+ 1 1.05874- 3 1.41807- 3 1.30000+ 1 3.00000+ 1 1.58043- 3 1.46609- 3 1.30000+ 1 3.20000+ 1 1.41212- 3 1.55127- 3 1.30000+ 1 3.30000+ 1 1.83937- 3 1.55839- 3 1.30000+ 1 4.10000+ 1 7.83522- 4 1.60495- 3 1.30000+ 1 4.30000+ 1 1.76549- 4 1.62198- 3 1.30000+ 1 4.40000+ 1 2.44204- 4 1.63049- 3 1.30000+ 1 4.60000+ 1 2.10590- 5 1.64988- 3 1.30000+ 1 4.70000+ 1 2.58192- 5 1.65052- 3 1.30000+ 1 5.80000+ 1 8.87103- 5 1.64953- 3 1.40000+ 1 1.60000+ 1 3.80112- 2 5.08700- 4 1.40000+ 1 1.80000+ 1 9.15357- 4 6.57000- 4 1.40000+ 1 1.90000+ 1 1.25627- 2 8.63140- 4 1.40000+ 1 2.10000+ 1 1.30264- 2 1.10449- 3 1.40000+ 1 2.20000+ 1 1.78784- 2 1.14266- 3 1.40000+ 1 2.40000+ 1 1.23743- 2 1.46075- 3 1.40000+ 1 2.50000+ 1 1.86411- 2 1.47061- 3 1.40000+ 1 2.70000+ 1 5.77114- 3 1.52454- 3 1.40000+ 1 2.90000+ 1 2.29626- 4 1.58187- 3 1.40000+ 1 3.00000+ 1 2.08568- 3 1.62989- 3 1.40000+ 1 3.20000+ 1 2.14122- 3 1.71507- 3 1.40000+ 1 3.30000+ 1 2.77638- 3 1.72219- 3 1.40000+ 1 4.10000+ 1 1.05246- 3 1.76875- 3 1.40000+ 1 4.30000+ 1 4.15411- 5 1.78578- 3 1.40000+ 1 4.40000+ 1 3.22100- 4 1.79429- 3 1.40000+ 1 4.60000+ 1 3.23097- 5 1.81368- 3 1.40000+ 1 4.70000+ 1 3.86564- 5 1.81432- 3 1.40000+ 1 5.80000+ 1 1.19006- 4 1.81333- 3 1.60000+ 1 1.60000+ 1 2.22517- 3 2.53670- 3 1.60000+ 1 1.80000+ 1 3.94595- 3 2.68500- 3 1.60000+ 1 1.90000+ 1 6.20351- 3 2.89114- 3 1.60000+ 1 2.10000+ 1 7.43967- 3 3.13249- 3 1.60000+ 1 2.20000+ 1 1.03279- 2 3.17066- 3 1.60000+ 1 2.40000+ 1 5.64159- 3 3.48875- 3 1.60000+ 1 2.50000+ 1 6.99714- 3 3.49861- 3 1.60000+ 1 2.70000+ 1 8.93225- 4 3.55254- 3 1.60000+ 1 2.90000+ 1 9.07845- 4 3.60987- 3 1.60000+ 1 3.00000+ 1 1.40608- 3 3.65789- 3 1.60000+ 1 3.20000+ 1 1.33932- 3 3.74307- 3 1.60000+ 1 3.30000+ 1 1.84450- 3 3.75019- 3 1.60000+ 1 4.10000+ 1 1.75269- 4 3.79675- 3 1.60000+ 1 4.30000+ 1 1.57958- 4 3.81378- 3 1.60000+ 1 4.40000+ 1 2.29111- 4 3.82229- 3 1.60000+ 1 4.60000+ 1 2.04112- 5 3.84168- 3 1.60000+ 1 4.70000+ 1 2.61788- 5 3.84232- 3 1.60000+ 1 5.80000+ 1 2.01157- 5 3.84133- 3 1.80000+ 1 1.80000+ 1 1.52483- 4 2.83330- 3 1.80000+ 1 1.90000+ 1 4.85699- 4 3.03944- 3 1.80000+ 1 2.10000+ 1 2.36791- 4 3.28079- 3 1.80000+ 1 2.20000+ 1 1.14030- 4 3.31896- 3 1.80000+ 1 2.40000+ 1 2.33684- 5 3.63705- 3 1.80000+ 1 2.50000+ 1 4.94287- 4 3.64691- 3 1.80000+ 1 2.70000+ 1 5.95608- 4 3.70084- 3 1.80000+ 1 2.90000+ 1 5.05820- 5 3.75817- 3 1.80000+ 1 3.00000+ 1 7.70575- 5 3.80619- 3 1.80000+ 1 3.20000+ 1 3.63837- 5 3.89137- 3 1.80000+ 1 3.30000+ 1 2.57343- 5 3.89849- 3 1.80000+ 1 4.10000+ 1 1.08999- 4 3.94505- 3 1.80000+ 1 4.30000+ 1 8.28249- 6 3.96208- 3 1.80000+ 1 4.40000+ 1 1.18314- 5 3.97059- 3 1.80000+ 1 4.60000+ 1 5.91590- 7 3.98998- 3 1.80000+ 1 4.70000+ 1 4.43697- 7 3.99062- 3 1.80000+ 1 5.80000+ 1 1.24234- 5 3.98963- 3 1.90000+ 1 1.90000+ 1 4.76398- 4 3.24558- 3 1.90000+ 1 2.10000+ 1 6.36554- 4 3.48693- 3 1.90000+ 1 2.20000+ 1 1.42518- 3 3.52510- 3 1.90000+ 1 2.40000+ 1 8.54896- 4 3.84319- 3 1.90000+ 1 2.50000+ 1 1.28643- 3 3.85305- 3 1.90000+ 1 2.70000+ 1 9.41549- 4 3.90698- 3 1.90000+ 1 2.90000+ 1 9.53981- 5 3.96431- 3 1.90000+ 1 3.00000+ 1 1.82221- 4 4.01233- 3 1.90000+ 1 3.20000+ 1 1.12407- 4 4.09751- 3 1.90000+ 1 3.30000+ 1 2.41379- 4 4.10463- 3 1.90000+ 1 4.10000+ 1 1.72609- 4 4.15119- 3 1.90000+ 1 4.30000+ 1 1.61219- 5 4.16822- 3 1.90000+ 1 4.40000+ 1 2.88421- 5 4.17673- 3 1.90000+ 1 4.60000+ 1 1.77486- 6 4.19612- 3 1.90000+ 1 4.70000+ 1 3.40188- 6 4.19676- 3 1.90000+ 1 5.80000+ 1 1.95236- 5 4.19577- 3 2.10000+ 1 2.10000+ 1 9.65826- 5 3.72828- 3 2.10000+ 1 2.20000+ 1 2.63268- 4 3.76645- 3 2.10000+ 1 2.40000+ 1 4.46662- 4 4.08454- 3 2.10000+ 1 2.50000+ 1 2.70138- 3 4.09440- 3 2.10000+ 1 2.70000+ 1 1.09882- 3 4.14833- 3 2.10000+ 1 2.90000+ 1 3.40186- 5 4.20566- 3 2.10000+ 1 3.00000+ 1 1.09451- 4 4.25368- 3 2.10000+ 1 3.20000+ 1 2.72143- 5 4.33886- 3 2.10000+ 1 3.30000+ 1 3.96379- 5 4.34598- 3 2.10000+ 1 4.10000+ 1 1.99815- 4 4.39254- 3 2.10000+ 1 4.30000+ 1 5.32456- 6 4.40957- 3 2.10000+ 1 4.40000+ 1 1.68610- 5 4.41808- 3 2.10000+ 1 4.60000+ 1 4.43707- 7 4.43747- 3 2.10000+ 1 4.70000+ 1 5.91603- 7 4.43811- 3 2.10000+ 1 5.80000+ 1 2.26286- 5 4.43712- 3 2.20000+ 1 2.20000+ 1 2.18299- 4 3.80462- 3 2.20000+ 1 2.40000+ 1 2.40436- 3 4.12271- 3 2.20000+ 1 2.50000+ 1 1.53947- 3 4.13257- 3 2.20000+ 1 2.70000+ 1 1.51780- 3 4.18650- 3 2.20000+ 1 2.90000+ 1 1.87831- 5 4.24383- 3 2.20000+ 1 3.00000+ 1 2.41673- 4 4.29185- 3 2.20000+ 1 3.20000+ 1 3.50520- 5 4.37703- 3 2.20000+ 1 3.30000+ 1 6.37476- 5 4.38415- 3 2.20000+ 1 4.10000+ 1 2.75842- 4 4.43071- 3 2.20000+ 1 4.30000+ 1 3.10584- 6 4.44774- 3 2.20000+ 1 4.40000+ 1 3.71235- 5 4.45625- 3 2.20000+ 1 4.60000+ 1 4.43704- 7 4.47564- 3 2.20000+ 1 4.70000+ 1 8.87389- 7 4.47628- 3 2.20000+ 1 5.80000+ 1 3.12076- 5 4.47529- 3 2.40000+ 1 2.40000+ 1 6.27258- 4 4.44080- 3 2.40000+ 1 2.50000+ 1 4.09897- 3 4.45066- 3 2.40000+ 1 2.70000+ 1 7.62876- 4 4.50459- 3 2.40000+ 1 2.90000+ 1 4.73289- 6 4.56192- 3 2.40000+ 1 3.00000+ 1 1.02940- 4 4.60994- 3 2.40000+ 1 3.20000+ 1 7.20311- 5 4.69512- 3 2.40000+ 1 3.30000+ 1 4.36910- 4 4.70224- 3 2.40000+ 1 4.10000+ 1 1.36660- 4 4.74880- 3 2.40000+ 1 4.30000+ 1 8.87399- 7 4.76583- 3 2.40000+ 1 4.40000+ 1 1.47896- 5 4.77434- 3 2.40000+ 1 4.60000+ 1 1.03532- 6 4.79373- 3 2.40000+ 1 4.70000+ 1 6.21175- 6 4.79437- 3 2.40000+ 1 5.80000+ 1 1.53816- 5 4.79338- 3 2.50000+ 1 2.50000+ 1 1.41647- 3 4.46052- 3 2.50000+ 1 2.70000+ 1 9.41828- 4 4.51445- 3 2.50000+ 1 2.90000+ 1 9.79457- 5 4.57178- 3 2.50000+ 1 3.00000+ 1 1.66681- 4 4.61980- 3 2.50000+ 1 3.20000+ 1 4.75569- 4 4.70498- 3 2.50000+ 1 3.30000+ 1 2.63899- 4 4.71210- 3 2.50000+ 1 4.10000+ 1 1.68751- 4 4.75866- 3 2.50000+ 1 4.30000+ 1 1.65213- 5 4.77569- 3 2.50000+ 1 4.40000+ 1 2.44861- 5 4.78420- 3 2.50000+ 1 4.60000+ 1 7.22776- 6 4.80359- 3 2.50000+ 1 4.70000+ 1 3.68776- 6 4.80423- 3 2.50000+ 1 5.80000+ 1 1.90287- 5 4.80324- 3 2.70000+ 1 2.70000+ 1 8.22935- 5 4.56838- 3 2.70000+ 1 2.90000+ 1 1.37885- 4 4.62571- 3 2.70000+ 1 3.00000+ 1 2.12806- 4 4.67373- 3 2.70000+ 1 3.20000+ 1 1.98504- 4 4.75891- 3 2.70000+ 1 3.30000+ 1 2.72088- 4 4.76603- 3 2.70000+ 1 4.10000+ 1 3.17079- 5 4.81259- 3 2.70000+ 1 4.30000+ 1 2.40383- 5 4.82962- 3 2.70000+ 1 4.40000+ 1 3.46573- 5 4.83813- 3 2.70000+ 1 4.60000+ 1 3.09688- 6 4.85752- 3 2.70000+ 1 4.70000+ 1 3.83437- 6 4.85816- 3 2.70000+ 1 5.80000+ 1 3.68695- 6 4.85717- 3 2.90000+ 1 2.90000+ 1 4.13470- 6 4.68304- 3 2.90000+ 1 3.00000+ 1 1.46191- 5 4.73106- 3 2.90000+ 1 3.20000+ 1 5.16836- 6 4.81624- 3 2.90000+ 1 3.30000+ 1 4.57773- 6 4.82336- 3 2.90000+ 1 4.10000+ 1 2.52518- 5 4.86992- 3 2.90000+ 1 4.30000+ 1 1.32899- 6 4.88695- 3 2.90000+ 1 4.40000+ 1 2.21495- 6 4.89546- 3 2.90000+ 1 4.60000+ 1 1.47660- 7 4.91485- 3 2.90000+ 1 5.80000+ 1 2.80561- 6 4.91450- 3 3.00000+ 1 3.00000+ 1 1.67128- 5 4.77908- 3 3.00000+ 1 3.20000+ 1 1.95234- 5 4.86426- 3 3.00000+ 1 3.30000+ 1 4.12645- 5 4.87138- 3 3.00000+ 1 4.10000+ 1 3.90458- 5 4.91794- 3 3.00000+ 1 4.30000+ 1 2.51428- 6 4.93497- 3 3.00000+ 1 4.40000+ 1 5.32454- 6 4.94348- 3 3.00000+ 1 4.60000+ 1 2.95801- 7 4.96287- 3 3.00000+ 1 4.70000+ 1 5.91601- 7 4.96351- 3 3.00000+ 1 5.80000+ 1 4.43706- 6 4.96252- 3 3.20000+ 1 3.20000+ 1 1.77487- 6 4.94944- 3 3.20000+ 1 3.30000+ 1 5.32462- 6 4.95656- 3 3.20000+ 1 4.10000+ 1 3.62367- 5 5.00312- 3 3.20000+ 1 4.30000+ 1 8.87405- 7 5.02015- 3 3.20000+ 1 4.40000+ 1 2.95805- 6 5.02866- 3 3.20000+ 1 4.70000+ 1 1.47897- 7 5.04869- 3 3.20000+ 1 5.80000+ 1 4.14133- 6 5.04770- 3 3.30000+ 1 3.30000+ 1 4.43705- 6 4.96368- 3 3.30000+ 1 4.10000+ 1 4.96953- 5 5.01024- 3 3.30000+ 1 4.30000+ 1 7.39495- 7 5.02727- 3 3.30000+ 1 4.40000+ 1 6.35994- 6 5.03578- 3 3.30000+ 1 4.60000+ 1 1.47894- 7 5.05517- 3 3.30000+ 1 4.70000+ 1 1.47894- 7 5.05581- 3 3.30000+ 1 5.80000+ 1 5.62031- 6 5.05482- 3 4.10000+ 1 4.10000+ 1 2.67216- 6 5.05680- 3 4.10000+ 1 4.30000+ 1 3.81748- 6 5.07383- 3 4.10000+ 1 4.40000+ 1 5.47187- 6 5.08234- 3 4.10000+ 1 4.60000+ 1 5.08992- 7 5.10173- 3 4.10000+ 1 4.70000+ 1 6.36236- 7 5.10237- 3 4.10000+ 1 5.80000+ 1 6.36236- 7 5.10138- 3 4.30000+ 1 4.30000+ 1 1.47893- 7 5.09086- 3 4.30000+ 1 4.40000+ 1 4.43702- 7 5.09937- 3 4.30000+ 1 5.80000+ 1 4.43702- 7 5.11841- 3 4.40000+ 1 4.40000+ 1 3.62571- 7 5.10788- 3 4.40000+ 1 4.70000+ 1 1.20851- 7 5.12791- 3 4.40000+ 1 5.80000+ 1 6.04275- 7 5.12692- 3 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.64939- 3 1.32920- 3 1.60000+ 1 9.54227- 4 3.52100- 3 2.10000+ 1 4.82878- 3 4.11679- 3 2.70000+ 1 2.42229- 4 4.53684- 3 3.20000+ 1 1.09670- 3 4.72737- 3 4.10000+ 1 4.97688- 5 4.78105- 3 5.80000+ 1 5.45038- 6 4.82563- 3 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 7.21777- 3 8.05900- 5 1.10000+ 1 2.20000+ 1 1.64103- 2 1.18760- 4 1.10000+ 1 2.40000+ 1 2.85269- 2 4.36850- 4 1.10000+ 1 2.50000+ 1 2.38856- 2 4.46710- 4 1.10000+ 1 2.70000+ 1 3.12338- 3 5.00640- 4 1.10000+ 1 2.90000+ 1 4.39867- 3 5.57970- 4 1.10000+ 1 3.00000+ 1 2.04000- 3 6.05990- 4 1.10000+ 1 3.20000+ 1 1.68272- 3 6.91170- 4 1.10000+ 1 3.30000+ 1 3.09200- 3 6.98290- 4 1.10000+ 1 4.10000+ 1 5.89880- 4 7.44850- 4 1.10000+ 1 4.30000+ 1 6.87391- 4 7.61880- 4 1.10000+ 1 4.40000+ 1 3.12480- 4 7.70390- 4 1.10000+ 1 4.60000+ 1 2.58617- 5 7.89780- 4 1.10000+ 1 4.70000+ 1 4.36516- 5 7.90420- 4 1.10000+ 1 5.80000+ 1 6.72074- 5 7.89430- 4 1.30000+ 1 1.60000+ 1 4.72075- 2 1.86000- 5 1.30000+ 1 1.80000+ 1 4.91694- 2 1.66900- 4 1.30000+ 1 1.90000+ 1 3.56474- 2 3.73040- 4 1.30000+ 1 2.10000+ 1 1.68015- 2 6.14390- 4 1.30000+ 1 2.20000+ 1 2.49558- 2 6.52560- 4 1.30000+ 1 2.40000+ 1 1.48821- 1 9.70650- 4 1.30000+ 1 2.50000+ 1 2.33033- 1 9.80510- 4 1.30000+ 1 2.70000+ 1 1.14499- 2 1.03444- 3 1.30000+ 1 2.90000+ 1 9.34390- 3 1.09177- 3 1.30000+ 1 3.00000+ 1 7.77771- 3 1.13979- 3 1.30000+ 1 3.20000+ 1 3.22427- 3 1.22497- 3 1.30000+ 1 3.30000+ 1 4.81782- 3 1.23209- 3 1.30000+ 1 4.10000+ 1 2.28632- 3 1.27865- 3 1.30000+ 1 4.30000+ 1 1.56965- 3 1.29568- 3 1.30000+ 1 4.40000+ 1 1.25459- 3 1.30419- 3 1.30000+ 1 4.60000+ 1 5.02407- 5 1.32358- 3 1.30000+ 1 4.70000+ 1 6.95133- 5 1.32422- 3 1.30000+ 1 5.80000+ 1 2.58786- 4 1.32323- 3 1.40000+ 1 1.60000+ 1 7.30072- 3 1.82400- 4 1.40000+ 1 1.80000+ 1 5.56172- 2 3.30700- 4 1.40000+ 1 1.90000+ 1 4.57595- 3 5.36840- 4 1.40000+ 1 2.10000+ 1 1.56226- 3 7.78190- 4 1.40000+ 1 2.20000+ 1 2.69863- 3 8.16360- 4 1.40000+ 1 2.40000+ 1 7.49744- 3 1.13445- 3 1.40000+ 1 2.50000+ 1 4.61239- 3 1.14431- 3 1.40000+ 1 2.70000+ 1 1.17308- 3 1.19824- 3 1.40000+ 1 2.90000+ 1 8.08460- 3 1.25557- 3 1.40000+ 1 3.00000+ 1 8.56046- 4 1.30359- 3 1.40000+ 1 3.20000+ 1 1.21565- 4 1.38877- 3 1.40000+ 1 3.30000+ 1 4.41131- 4 1.39589- 3 1.40000+ 1 4.10000+ 1 2.17272- 4 1.44245- 3 1.40000+ 1 4.30000+ 1 1.28242- 3 1.45948- 3 1.40000+ 1 4.40000+ 1 1.34420- 4 1.46799- 3 1.40000+ 1 4.60000+ 1 1.64725- 6 1.48738- 3 1.40000+ 1 4.70000+ 1 6.25946- 6 1.48802- 3 1.40000+ 1 5.80000+ 1 2.47088- 5 1.48703- 3 1.60000+ 1 1.60000+ 1 5.67341- 4 2.21040- 3 1.60000+ 1 1.80000+ 1 8.76658- 3 2.35870- 3 1.60000+ 1 1.90000+ 1 1.09968- 3 2.56484- 3 1.60000+ 1 2.10000+ 1 3.38310- 4 2.80619- 3 1.60000+ 1 2.20000+ 1 1.00407- 3 2.84436- 3 1.60000+ 1 2.40000+ 1 6.16386- 5 3.16245- 3 1.60000+ 1 2.50000+ 1 7.38592- 4 3.17231- 3 1.60000+ 1 2.70000+ 1 2.12230- 4 3.22624- 3 1.60000+ 1 2.90000+ 1 1.25133- 3 3.28357- 3 1.60000+ 1 3.00000+ 1 2.24136- 4 3.33159- 3 1.60000+ 1 3.20000+ 1 4.13249- 5 3.41677- 3 1.60000+ 1 3.30000+ 1 1.61100- 4 3.42389- 3 1.60000+ 1 4.10000+ 1 4.06237- 5 3.47045- 3 1.60000+ 1 4.30000+ 1 1.98924- 4 3.48748- 3 1.60000+ 1 4.40000+ 1 3.57211- 5 3.49599- 3 1.60000+ 1 4.60000+ 1 7.00435- 7 3.51538- 3 1.60000+ 1 4.70000+ 1 2.10132- 6 3.51602- 3 1.60000+ 1 5.80000+ 1 4.55284- 6 3.51503- 3 1.80000+ 1 1.80000+ 1 6.85360- 3 2.50700- 3 1.80000+ 1 1.90000+ 1 1.84152- 2 2.71314- 3 1.80000+ 1 2.10000+ 1 1.87333- 2 2.95449- 3 1.80000+ 1 2.20000+ 1 2.93179- 2 2.99266- 3 1.80000+ 1 2.40000+ 1 1.17121- 2 3.31075- 3 1.80000+ 1 2.50000+ 1 1.91837- 2 3.32061- 3 1.80000+ 1 2.70000+ 1 2.15011- 3 3.37454- 3 1.80000+ 1 2.90000+ 1 2.59801- 3 3.43187- 3 1.80000+ 1 3.00000+ 1 4.13497- 3 3.47989- 3 1.80000+ 1 3.20000+ 1 3.38654- 3 3.56507- 3 1.80000+ 1 3.30000+ 1 5.18281- 3 3.57219- 3 1.80000+ 1 4.10000+ 1 4.34968- 4 3.61875- 3 1.80000+ 1 4.30000+ 1 4.39165- 4 3.63578- 3 1.80000+ 1 4.40000+ 1 6.72411- 4 3.64429- 3 1.80000+ 1 4.60000+ 1 5.14823- 5 3.66368- 3 1.80000+ 1 4.70000+ 1 7.31946- 5 3.66432- 3 1.80000+ 1 5.80000+ 1 5.00817- 5 3.66333- 3 1.90000+ 1 1.90000+ 1 4.67870- 4 2.91928- 3 1.90000+ 1 2.10000+ 1 1.09267- 3 3.16063- 3 1.90000+ 1 2.20000+ 1 1.01597- 3 3.19880- 3 1.90000+ 1 2.40000+ 1 7.61935- 3 3.51689- 3 1.90000+ 1 2.50000+ 1 2.11228- 3 3.52675- 3 1.90000+ 1 2.70000+ 1 1.70908- 4 3.58068- 3 1.90000+ 1 2.90000+ 1 2.68228- 3 3.63801- 3 1.90000+ 1 3.00000+ 1 1.77215- 4 3.68603- 3 1.90000+ 1 3.20000+ 1 1.54099- 4 3.77121- 3 1.90000+ 1 3.30000+ 1 1.61447- 4 3.77833- 3 1.90000+ 1 4.10000+ 1 3.15196- 5 3.82489- 3 1.90000+ 1 4.30000+ 1 4.27613- 4 3.84192- 3 1.90000+ 1 4.40000+ 1 2.80173- 5 3.85043- 3 1.90000+ 1 4.60000+ 1 2.10132- 6 3.86982- 3 1.90000+ 1 4.70000+ 1 2.10132- 6 3.87046- 3 1.90000+ 1 5.80000+ 1 3.50216- 6 3.86947- 3 2.10000+ 1 2.10000+ 1 6.94474- 4 3.40198- 3 2.10000+ 1 2.20000+ 1 1.34688- 3 3.44015- 3 2.10000+ 1 2.40000+ 1 7.78864- 4 3.75824- 3 2.10000+ 1 2.50000+ 1 1.12382- 3 3.76810- 3 2.10000+ 1 2.70000+ 1 8.01978- 5 3.82203- 3 2.10000+ 1 2.90000+ 1 2.64370- 3 3.87936- 3 2.10000+ 1 3.00000+ 1 2.27291- 4 3.92738- 3 2.10000+ 1 3.20000+ 1 2.03817- 4 4.01256- 3 2.10000+ 1 3.30000+ 1 2.18540- 4 4.01968- 3 2.10000+ 1 4.10000+ 1 1.61099- 5 4.06624- 3 2.10000+ 1 4.30000+ 1 4.18500- 4 4.08327- 3 2.10000+ 1 4.40000+ 1 3.64219- 5 4.09178- 3 2.10000+ 1 4.60000+ 1 3.15193- 6 4.11117- 3 2.10000+ 1 4.70000+ 1 3.15193- 6 4.11181- 3 2.10000+ 1 5.80000+ 1 1.75101- 6 4.11082- 3 2.20000+ 1 2.20000+ 1 3.68431- 4 3.47832- 3 2.20000+ 1 2.40000+ 1 1.80816- 3 3.79641- 3 2.20000+ 1 2.50000+ 1 4.52460- 4 3.80627- 3 2.20000+ 1 2.70000+ 1 1.93667- 4 3.86020- 3 2.20000+ 1 2.90000+ 1 4.18704- 3 3.91753- 3 2.20000+ 1 3.00000+ 1 1.74405- 4 3.96555- 3 2.20000+ 1 3.20000+ 1 1.89112- 4 4.05073- 3 2.20000+ 1 3.30000+ 1 1.09966- 4 4.05785- 3 2.20000+ 1 4.10000+ 1 3.74706- 5 4.10441- 3 2.20000+ 1 4.30000+ 1 6.64687- 4 4.12144- 3 2.20000+ 1 4.40000+ 1 2.69660- 5 4.12995- 3 2.20000+ 1 4.60000+ 1 2.80168- 6 4.14934- 3 2.20000+ 1 4.70000+ 1 1.40081- 6 4.14998- 3 2.20000+ 1 5.80000+ 1 4.20254- 6 4.14899- 3 2.40000+ 1 2.40000+ 1 3.05946- 3 4.11450- 3 2.40000+ 1 2.50000+ 1 1.95178- 2 4.12436- 3 2.40000+ 1 2.70000+ 1 9.45568- 6 4.17829- 3 2.40000+ 1 2.90000+ 1 1.52512- 3 4.23562- 3 2.40000+ 1 3.00000+ 1 1.60671- 3 4.28364- 3 2.40000+ 1 3.20000+ 1 1.53388- 4 4.36882- 3 2.40000+ 1 3.30000+ 1 3.85231- 4 4.37594- 3 2.40000+ 1 4.10000+ 1 1.75099- 6 4.42250- 3 2.40000+ 1 4.30000+ 1 2.39534- 4 4.43953- 3 2.40000+ 1 4.40000+ 1 2.58092- 4 4.44804- 3 2.40000+ 1 4.60000+ 1 2.45127- 6 4.46743- 3 2.40000+ 1 4.70000+ 1 5.60337- 6 4.46807- 3 2.40000+ 1 5.80000+ 1 3.50209- 7 4.46708- 3 2.50000+ 1 2.50000+ 1 1.01808- 3 4.13422- 3 2.50000+ 1 2.70000+ 1 1.47443- 4 4.18815- 3 2.50000+ 1 2.90000+ 1 2.43258- 3 4.24548- 3 2.50000+ 1 3.00000+ 1 3.94685- 4 4.29350- 3 2.50000+ 1 3.20000+ 1 2.13626- 4 4.37868- 3 2.50000+ 1 3.30000+ 1 8.51001- 5 4.38580- 3 2.50000+ 1 4.10000+ 1 2.83667- 5 4.43236- 3 2.50000+ 1 4.30000+ 1 3.77164- 4 4.44939- 3 2.50000+ 1 4.40000+ 1 6.19876- 5 4.45790- 3 2.50000+ 1 4.60000+ 1 3.15192- 6 4.47729- 3 2.50000+ 1 4.70000+ 1 1.05063- 6 4.47793- 3 2.50000+ 1 5.80000+ 1 3.15192- 6 4.47694- 3 2.70000+ 1 2.70000+ 1 1.96104- 5 4.24208- 3 2.70000+ 1 2.90000+ 1 3.08895- 4 4.29941- 3 2.70000+ 1 3.00000+ 1 3.46713- 5 4.34743- 3 2.70000+ 1 3.20000+ 1 9.10527- 6 4.43261- 3 2.70000+ 1 3.30000+ 1 3.18685- 5 4.43973- 3 2.70000+ 1 4.10000+ 1 7.35422- 6 4.48629- 3 2.70000+ 1 4.30000+ 1 4.90294- 5 4.50332- 3 2.70000+ 1 4.40000+ 1 5.60337- 6 4.51183- 3 2.70000+ 1 4.70000+ 1 3.50209- 7 4.53186- 3 2.70000+ 1 5.80000+ 1 7.00421- 7 4.53087- 3 2.90000+ 1 2.90000+ 1 2.30080- 4 4.35674- 3 2.90000+ 1 3.00000+ 1 6.06560- 4 4.40476- 3 2.90000+ 1 3.20000+ 1 4.80822- 4 4.48994- 3 2.90000+ 1 3.30000+ 1 7.45225- 4 4.49706- 3 2.90000+ 1 4.10000+ 1 6.26859- 5 4.54362- 3 2.90000+ 1 4.30000+ 1 7.70454- 5 4.56065- 3 2.90000+ 1 4.40000+ 1 9.87592- 5 4.56916- 3 2.90000+ 1 4.60000+ 1 7.35416- 6 4.58855- 3 2.90000+ 1 4.70000+ 1 1.05061- 5 4.58919- 3 2.90000+ 1 5.80000+ 1 7.35416- 6 4.58820- 3 3.00000+ 1 3.00000+ 1 1.67361- 5 4.45278- 3 3.00000+ 1 3.20000+ 1 3.27611- 5 4.53796- 3 3.00000+ 1 3.30000+ 1 2.81297- 5 4.54508- 3 3.00000+ 1 4.10000+ 1 6.40965- 6 4.59164- 3 3.00000+ 1 4.30000+ 1 9.86371- 5 4.60867- 3 3.00000+ 1 4.40000+ 1 5.34136- 6 4.61718- 3 3.00000+ 1 4.60000+ 1 3.56090- 7 4.63657- 3 3.00000+ 1 4.70000+ 1 3.56090- 7 4.63721- 3 3.00000+ 1 5.80000+ 1 7.12182- 7 4.63622- 3 3.20000+ 1 3.20000+ 1 1.43581- 5 4.62314- 3 3.20000+ 1 3.30000+ 1 3.29199- 5 4.63026- 3 3.20000+ 1 4.10000+ 1 1.75103- 6 4.67682- 3 3.20000+ 1 4.30000+ 1 7.63466- 5 4.69385- 3 3.20000+ 1 4.40000+ 1 5.25326- 6 4.70236- 3 3.20000+ 1 4.60000+ 1 3.50216- 7 4.72175- 3 3.20000+ 1 4.70000+ 1 3.50216- 7 4.72239- 3 3.20000+ 1 5.80000+ 1 3.50216- 7 4.72140- 3 3.30000+ 1 3.30000+ 1 8.49454- 6 4.63738- 3 3.30000+ 1 4.10000+ 1 6.37092- 6 4.68394- 3 3.30000+ 1 4.30000+ 1 1.19631- 4 4.70097- 3 3.30000+ 1 4.40000+ 1 4.24727- 6 4.70948- 3 3.30000+ 1 4.60000+ 1 3.53938- 7 4.72887- 3 3.30000+ 1 4.70000+ 1 3.53938- 7 4.72951- 3 3.30000+ 1 5.80000+ 1 7.07879- 7 4.72852- 3 4.10000+ 1 4.10000+ 1 6.69706- 7 4.73050- 3 4.10000+ 1 4.30000+ 1 9.37571- 6 4.74753- 3 4.10000+ 1 4.40000+ 1 1.00455- 6 4.75604- 3 4.30000+ 1 4.30000+ 1 5.23532- 6 4.76456- 3 4.30000+ 1 4.40000+ 1 1.30883- 5 4.77307- 3 4.30000+ 1 4.60000+ 1 8.72541- 7 4.79246- 3 4.30000+ 1 4.70000+ 1 1.45420- 6 4.79310- 3 4.30000+ 1 5.80000+ 1 8.72541- 7 4.79211- 3 4.40000+ 1 4.40000+ 1 3.50209- 7 4.78158- 3 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.38730- 5 5.33800- 4 1.40000+ 1 2.98839- 4 6.97600- 4 1.60000+ 1 1.95530- 3 2.72560- 3 2.10000+ 1 9.27158- 4 3.32139- 3 2.20000+ 1 6.98828- 3 3.35956- 3 2.70000+ 1 4.74519- 4 3.74144- 3 3.20000+ 1 1.89010- 4 3.93197- 3 3.30000+ 1 1.45590- 3 3.93909- 3 4.10000+ 1 8.90218- 5 3.98565- 3 5.80000+ 1 1.21490- 5 4.03023- 3 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 1.57711- 2 1.75250- 4 1.30000+ 1 2.50000+ 1 2.29802- 2 1.85110- 4 1.30000+ 1 2.70000+ 1 3.21118- 3 2.39040- 4 1.30000+ 1 2.90000+ 1 3.02648- 3 2.96370- 4 1.30000+ 1 3.00000+ 1 9.07743- 3 3.44390- 4 1.30000+ 1 3.20000+ 1 1.71043- 3 4.29570- 4 1.30000+ 1 3.30000+ 1 1.88920- 3 4.36690- 4 1.30000+ 1 4.10000+ 1 6.18035- 4 4.83250- 4 1.30000+ 1 4.30000+ 1 5.04612- 4 5.00280- 4 1.30000+ 1 4.40000+ 1 1.38730- 3 5.08790- 4 1.30000+ 1 4.60000+ 1 2.54625- 5 5.28180- 4 1.30000+ 1 4.70000+ 1 2.66192- 5 5.28820- 4 1.30000+ 1 5.80000+ 1 6.98288- 5 5.27830- 4 1.40000+ 1 2.10000+ 1 4.40432- 2 0.00000+ 0 1.40000+ 1 2.20000+ 1 6.35763- 2 2.09600- 5 1.40000+ 1 2.40000+ 1 1.93691- 1 3.39050- 4 1.40000+ 1 2.50000+ 1 2.33757- 1 3.48910- 4 1.40000+ 1 2.70000+ 1 1.94345- 2 4.02840- 4 1.40000+ 1 2.90000+ 1 2.03007- 2 4.60170- 4 1.40000+ 1 3.00000+ 1 2.21333- 2 5.08190- 4 1.40000+ 1 3.20000+ 1 7.17254- 3 5.93370- 4 1.40000+ 1 3.30000+ 1 1.04632- 2 6.00490- 4 1.40000+ 1 4.10000+ 1 3.83586- 3 6.47050- 4 1.40000+ 1 4.30000+ 1 3.39689- 3 6.64080- 4 1.40000+ 1 4.40000+ 1 3.46711- 3 6.72590- 4 1.40000+ 1 4.60000+ 1 1.05320- 4 6.91980- 4 1.40000+ 1 4.70000+ 1 1.44478- 4 6.92620- 4 1.40000+ 1 5.80000+ 1 4.46929- 4 6.91630- 4 1.60000+ 1 1.60000+ 1 1.51563- 4 1.41500- 3 1.60000+ 1 1.80000+ 1 4.61466- 4 1.56330- 3 1.60000+ 1 1.90000+ 1 1.08045- 2 1.76944- 3 1.60000+ 1 2.10000+ 1 6.70168- 4 2.01079- 3 1.60000+ 1 2.20000+ 1 8.65726- 4 2.04896- 3 1.60000+ 1 2.40000+ 1 2.25791- 3 2.36705- 3 1.60000+ 1 2.50000+ 1 4.09111- 3 2.37691- 3 1.60000+ 1 2.70000+ 1 6.01721- 5 2.43084- 3 1.60000+ 1 2.90000+ 1 6.54390- 5 2.48817- 3 1.60000+ 1 3.00000+ 1 1.53595- 3 2.53619- 3 1.60000+ 1 3.20000+ 1 1.03045- 4 2.62137- 3 1.60000+ 1 3.30000+ 1 1.29749- 4 2.62849- 3 1.60000+ 1 4.10000+ 1 1.16585- 5 2.67505- 3 1.60000+ 1 4.30000+ 1 1.01542- 5 2.69208- 3 1.60000+ 1 4.40000+ 1 2.29798- 4 2.70059- 3 1.60000+ 1 4.60000+ 1 1.50429- 6 2.71998- 3 1.60000+ 1 4.70000+ 1 1.50429- 6 2.72062- 3 1.60000+ 1 5.80000+ 1 1.50429- 6 2.71963- 3 1.80000+ 1 1.80000+ 1 1.88038- 6 1.71160- 3 1.80000+ 1 1.90000+ 1 1.36364- 2 1.91774- 3 1.80000+ 1 2.10000+ 1 3.06503- 4 2.15909- 3 1.80000+ 1 2.20000+ 1 3.07927- 3 2.19726- 3 1.80000+ 1 2.40000+ 1 1.65131- 3 2.51535- 3 1.80000+ 1 2.50000+ 1 8.41688- 3 2.52521- 3 1.80000+ 1 2.70000+ 1 8.76259- 5 2.57914- 3 1.80000+ 1 2.90000+ 1 1.88038- 6 2.63647- 3 1.80000+ 1 3.00000+ 1 1.98915- 3 2.68449- 3 1.80000+ 1 3.20000+ 1 5.45303- 5 2.76967- 3 1.80000+ 1 3.30000+ 1 4.41904- 4 2.77679- 3 1.80000+ 1 4.10000+ 1 1.65474- 5 2.82335- 3 1.80000+ 1 4.30000+ 1 3.76074- 7 2.84038- 3 1.80000+ 1 4.40000+ 1 2.98985- 4 2.84889- 3 1.80000+ 1 4.60000+ 1 7.52148- 7 2.86828- 3 1.80000+ 1 4.70000+ 1 6.01711- 6 2.86892- 3 1.80000+ 1 5.80000+ 1 1.88038- 6 2.86793- 3 1.90000+ 1 1.90000+ 1 1.73301- 2 2.12388- 3 1.90000+ 1 2.10000+ 1 2.58086- 2 2.36523- 3 1.90000+ 1 2.20000+ 1 3.34630- 2 2.40340- 3 1.90000+ 1 2.40000+ 1 2.41977- 2 2.72149- 3 1.90000+ 1 2.50000+ 1 2.76249- 2 2.73135- 3 1.90000+ 1 2.70000+ 1 2.60967- 3 2.78528- 3 1.90000+ 1 2.90000+ 1 3.04910- 3 2.84261- 3 1.90000+ 1 3.00000+ 1 6.37219- 3 2.89063- 3 1.90000+ 1 3.20000+ 1 4.49136- 3 2.97581- 3 1.90000+ 1 3.30000+ 1 5.83460- 3 2.98293- 3 1.90000+ 1 4.10000+ 1 5.25744- 4 3.02949- 3 1.90000+ 1 4.30000+ 1 5.27252- 4 3.04652- 3 1.90000+ 1 4.40000+ 1 1.00450- 3 3.05503- 3 1.90000+ 1 4.60000+ 1 6.80682- 5 3.07442- 3 1.90000+ 1 4.70000+ 1 8.23599- 5 3.07506- 3 1.90000+ 1 5.80000+ 1 6.05464- 5 3.07407- 3 2.10000+ 1 2.10000+ 1 1.77885- 4 2.60658- 3 2.10000+ 1 2.20000+ 1 4.30457- 3 2.64475- 3 2.10000+ 1 2.40000+ 1 6.90466- 4 2.96284- 3 2.10000+ 1 2.50000+ 1 7.86892- 3 2.97270- 3 2.10000+ 1 2.70000+ 1 8.46165- 5 3.02663- 3 2.10000+ 1 2.90000+ 1 1.84277- 5 3.08396- 3 2.10000+ 1 3.00000+ 1 3.67542- 3 3.13198- 3 2.10000+ 1 3.20000+ 1 5.07697- 5 3.21716- 3 2.10000+ 1 3.30000+ 1 6.55480- 4 3.22428- 3 2.10000+ 1 4.10000+ 1 1.50425- 5 3.27084- 3 2.10000+ 1 4.30000+ 1 2.63235- 6 3.28787- 3 2.10000+ 1 4.40000+ 1 5.49071- 4 3.29638- 3 2.10000+ 1 4.60000+ 1 7.52139- 7 3.31577- 3 2.10000+ 1 4.70000+ 1 9.02575- 6 3.31641- 3 2.10000+ 1 5.80000+ 1 1.88036- 6 3.31542- 3 2.20000+ 1 2.20000+ 1 1.84771- 3 2.68292- 3 2.20000+ 1 2.40000+ 1 6.28868- 3 3.00101- 3 2.20000+ 1 2.50000+ 1 5.16533- 3 3.01087- 3 2.20000+ 1 2.70000+ 1 1.17711- 4 3.06480- 3 2.20000+ 1 2.90000+ 1 3.14758- 4 3.12213- 3 2.20000+ 1 3.00000+ 1 4.70008- 3 3.17015- 3 2.20000+ 1 3.20000+ 1 6.44580- 4 3.25533- 3 2.20000+ 1 3.30000+ 1 5.67493- 4 3.26245- 3 2.20000+ 1 4.10000+ 1 2.14358- 5 3.30901- 3 2.20000+ 1 4.30000+ 1 4.70090- 5 3.32604- 3 2.20000+ 1 4.40000+ 1 7.00227- 4 3.33455- 3 2.20000+ 1 4.60000+ 1 9.40182- 6 3.35394- 3 2.20000+ 1 4.70000+ 1 7.89732- 6 3.35458- 3 2.20000+ 1 5.80000+ 1 2.63232- 6 3.35359- 3 2.40000+ 1 2.40000+ 1 1.06881- 3 3.31910- 3 2.40000+ 1 2.50000+ 1 2.76963- 2 3.32896- 3 2.40000+ 1 2.70000+ 1 2.50852- 4 3.38289- 3 2.40000+ 1 2.90000+ 1 2.99730- 4 3.44022- 3 2.40000+ 1 3.00000+ 1 3.27794- 3 3.48824- 3 2.40000+ 1 3.20000+ 1 1.39522- 4 3.57342- 3 2.40000+ 1 3.30000+ 1 1.02705- 3 3.58054- 3 2.40000+ 1 4.10000+ 1 4.43773- 5 3.62710- 3 2.40000+ 1 4.30000+ 1 4.96426- 5 3.64413- 3 2.40000+ 1 4.40000+ 1 4.86260- 4 3.65264- 3 2.40000+ 1 4.60000+ 1 2.25636- 6 3.67203- 3 2.40000+ 1 4.70000+ 1 1.42907- 5 3.67267- 3 2.40000+ 1 5.80000+ 1 4.88892- 6 3.67168- 3 2.50000+ 1 2.50000+ 1 1.10073- 2 3.33882- 3 2.50000+ 1 2.70000+ 1 4.23076- 4 3.39275- 3 2.50000+ 1 2.90000+ 1 1.50509- 3 3.45008- 3 2.50000+ 1 3.00000+ 1 3.90891- 3 3.49810- 3 2.50000+ 1 3.20000+ 1 1.35313- 3 3.58328- 3 2.50000+ 1 3.30000+ 1 9.20628- 4 3.59040- 3 2.50000+ 1 4.10000+ 1 7.25836- 5 3.63696- 3 2.50000+ 1 4.30000+ 1 2.50075- 4 3.65399- 3 2.50000+ 1 4.40000+ 1 5.87420- 4 3.66250- 3 2.50000+ 1 4.60000+ 1 2.03086- 5 3.68189- 3 2.50000+ 1 4.70000+ 1 1.31626- 5 3.68253- 3 2.50000+ 1 5.80000+ 1 8.27363- 6 3.68154- 3 2.70000+ 1 2.70000+ 1 6.76935- 6 3.44668- 3 2.70000+ 1 2.90000+ 1 1.31627- 5 3.50401- 3 2.70000+ 1 3.00000+ 1 3.72681- 4 3.55203- 3 2.70000+ 1 3.20000+ 1 1.42908- 5 3.63721- 3 2.70000+ 1 3.30000+ 1 1.84280- 5 3.64433- 3 2.70000+ 1 4.10000+ 1 2.63239- 6 3.69089- 3 2.70000+ 1 4.30000+ 1 2.25638- 6 3.70792- 3 2.70000+ 1 4.40000+ 1 5.56597- 5 3.71643- 3 2.70000+ 1 4.60000+ 1 3.76076- 7 3.73582- 3 2.70000+ 1 4.70000+ 1 3.76076- 7 3.73646- 3 2.70000+ 1 5.80000+ 1 3.76076- 7 3.73547- 3 2.90000+ 1 3.00000+ 1 4.47618- 4 3.60936- 3 2.90000+ 1 3.20000+ 1 3.00931- 6 3.69454- 3 2.90000+ 1 3.30000+ 1 4.77707- 5 3.70166- 3 2.90000+ 1 4.10000+ 1 2.63288- 6 3.74822- 3 2.90000+ 1 4.40000+ 1 6.73298- 5 3.77376- 3 2.90000+ 1 4.70000+ 1 7.52290- 7 3.79379- 3 2.90000+ 1 5.80000+ 1 3.76145- 7 3.79280- 3 3.00000+ 1 3.00000+ 1 5.55456- 4 3.65738- 3 3.00000+ 1 3.20000+ 1 6.42728- 4 3.74256- 3 3.00000+ 1 3.30000+ 1 8.22851- 4 3.74968- 3 3.00000+ 1 4.10000+ 1 7.52153- 5 3.79624- 3 3.00000+ 1 4.30000+ 1 7.74720- 5 3.81327- 3 3.00000+ 1 4.40000+ 1 1.73385- 4 3.82178- 3 3.00000+ 1 4.60000+ 1 9.77809- 6 3.84117- 3 3.00000+ 1 4.70000+ 1 1.16584- 5 3.84181- 3 3.00000+ 1 5.80000+ 1 8.64988- 6 3.84082- 3 3.20000+ 1 3.20000+ 1 3.76076- 6 3.82774- 3 3.20000+ 1 3.30000+ 1 1.06054- 4 3.83486- 3 3.20000+ 1 4.10000+ 1 2.63239- 6 3.88142- 3 3.20000+ 1 4.30000+ 1 3.76076- 7 3.89845- 3 3.20000+ 1 4.40000+ 1 9.62758- 5 3.90696- 3 3.20000+ 1 4.70000+ 1 1.50427- 6 3.92699- 3 3.20000+ 1 5.80000+ 1 3.76076- 7 3.92600- 3 3.30000+ 1 3.30000+ 1 4.58820- 5 3.84198- 3 3.30000+ 1 4.10000+ 1 3.38470- 6 3.88854- 3 3.30000+ 1 4.30000+ 1 7.14523- 6 3.90557- 3 3.30000+ 1 4.40000+ 1 1.22599- 4 3.91408- 3 3.30000+ 1 4.60000+ 1 1.50425- 6 3.93347- 3 3.30000+ 1 4.70000+ 1 1.12821- 6 3.93411- 3 3.30000+ 1 5.80000+ 1 3.76070- 7 3.93312- 3 4.10000+ 1 4.10000+ 1 3.45374- 7 3.93510- 3 4.10000+ 1 4.30000+ 1 3.45374- 7 3.95213- 3 4.10000+ 1 4.40000+ 1 1.03612- 5 3.96064- 3 4.30000+ 1 4.40000+ 1 1.05620- 5 3.97767- 3 4.40000+ 1 4.40000+ 1 1.11675- 5 3.98618- 3 4.40000+ 1 4.60000+ 1 1.24080- 6 4.00557- 3 4.40000+ 1 4.70000+ 1 1.55104- 6 4.00621- 3 4.40000+ 1 5.80000+ 1 9.30622- 7 4.00522- 3 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.22890- 3 2.34010- 3 1.90000+ 1 2.06170- 4 2.54624- 3 2.40000+ 1 4.90380- 2 3.14385- 3 2.90000+ 1 5.39140- 4 3.26497- 3 3.00000+ 1 4.84660- 5 3.31299- 3 4.30000+ 1 8.40190- 5 3.46888- 3 4.40000+ 1 7.25190- 6 3.47739- 3 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.20000+ 1 5.10805- 2 5.95700- 5 1.40000+ 1 3.30000+ 1 7.41299- 3 6.66900- 5 1.40000+ 1 4.10000+ 1 1.05243- 3 1.13250- 4 1.40000+ 1 4.30000+ 1 5.40919- 4 1.30280- 4 1.40000+ 1 4.40000+ 1 1.14475- 3 1.38790- 4 1.40000+ 1 4.60000+ 1 7.51760- 4 1.58180- 4 1.40000+ 1 4.70000+ 1 1.02953- 4 1.58820- 4 1.40000+ 1 5.80000+ 1 1.17667- 4 1.57830- 4 1.60000+ 1 1.60000+ 1 1.06225- 5 8.81200- 4 1.60000+ 1 1.80000+ 1 8.59623- 4 1.02950- 3 1.60000+ 1 1.90000+ 1 7.67289- 4 1.23564- 3 1.60000+ 1 2.10000+ 1 2.96533- 2 1.47699- 3 1.60000+ 1 2.20000+ 1 3.45971- 3 1.51516- 3 1.60000+ 1 2.40000+ 1 1.60374- 2 1.83325- 3 1.60000+ 1 2.50000+ 1 3.84295- 3 1.84311- 3 1.60000+ 1 2.70000+ 1 1.63427- 5 1.89704- 3 1.60000+ 1 2.90000+ 1 1.61791- 4 1.95437- 3 1.60000+ 1 3.00000+ 1 1.12769- 4 2.00239- 3 1.60000+ 1 3.20000+ 1 3.56422- 3 2.08757- 3 1.60000+ 1 3.30000+ 1 4.43688- 4 2.09469- 3 1.60000+ 1 4.10000+ 1 3.26844- 6 2.14125- 3 1.60000+ 1 4.30000+ 1 2.69652- 5 2.15828- 3 1.60000+ 1 4.40000+ 1 1.71588- 5 2.16679- 3 1.60000+ 1 4.60000+ 1 5.14802- 5 2.18618- 3 1.60000+ 1 4.70000+ 1 5.71974- 6 2.18682- 3 1.60000+ 1 5.80000+ 1 8.17135- 7 2.18583- 3 1.80000+ 1 1.80000+ 1 4.44517- 4 1.17780- 3 1.80000+ 1 1.90000+ 1 3.57498- 3 1.38394- 3 1.80000+ 1 2.10000+ 1 2.68588- 2 1.62529- 3 1.80000+ 1 2.20000+ 1 1.62444- 3 1.66346- 3 1.80000+ 1 2.40000+ 1 1.14593- 2 1.98155- 3 1.80000+ 1 2.50000+ 1 6.07613- 3 1.99141- 3 1.80000+ 1 2.70000+ 1 1.20115- 4 2.04534- 3 1.80000+ 1 2.90000+ 1 1.66698- 4 2.10267- 3 1.80000+ 1 3.00000+ 1 5.87485- 4 2.15069- 3 1.80000+ 1 3.20000+ 1 3.19484- 3 2.23587- 3 1.80000+ 1 3.30000+ 1 2.37780- 4 2.24299- 3 1.80000+ 1 4.10000+ 1 2.20616- 5 2.28955- 3 1.80000+ 1 4.30000+ 1 2.77819- 5 2.30658- 3 1.80000+ 1 4.40000+ 1 9.06998- 5 2.31509- 3 1.80000+ 1 4.60000+ 1 4.57585- 5 2.33448- 3 1.80000+ 1 4.70000+ 1 3.26841- 6 2.33512- 3 1.80000+ 1 5.80000+ 1 2.45138- 6 2.33413- 3 1.90000+ 1 1.90000+ 1 1.25015- 3 1.59008- 3 1.90000+ 1 2.10000+ 1 5.20177- 2 1.83143- 3 1.90000+ 1 2.20000+ 1 1.98150- 3 1.86960- 3 1.90000+ 1 2.40000+ 1 2.30842- 3 2.18769- 3 1.90000+ 1 2.50000+ 1 1.76912- 3 2.19755- 3 1.90000+ 1 2.70000+ 1 1.39720- 4 2.25148- 3 1.90000+ 1 2.90000+ 1 4.98462- 4 2.30881- 3 1.90000+ 1 3.00000+ 1 3.92208- 4 2.35683- 3 1.90000+ 1 3.20000+ 1 6.26321- 3 2.44201- 3 1.90000+ 1 3.30000+ 1 2.68016- 4 2.44913- 3 1.90000+ 1 4.10000+ 1 2.61481- 5 2.49569- 3 1.90000+ 1 4.30000+ 1 7.92594- 5 2.51272- 3 1.90000+ 1 4.40000+ 1 5.96515- 5 2.52123- 3 1.90000+ 1 4.60000+ 1 8.98848- 5 2.54062- 3 1.90000+ 1 4.70000+ 1 3.26845- 6 2.54126- 3 1.90000+ 1 5.80000+ 1 3.26845- 6 2.54027- 3 2.10000+ 1 2.10000+ 1 4.79361- 2 2.07278- 3 2.10000+ 1 2.20000+ 1 9.40615- 2 2.11095- 3 2.10000+ 1 2.40000+ 1 5.61073- 2 2.42904- 3 2.10000+ 1 2.50000+ 1 6.65512- 2 2.43890- 3 2.10000+ 1 2.70000+ 1 6.52145- 3 2.49283- 3 2.10000+ 1 2.90000+ 1 6.06048- 3 2.55016- 3 2.10000+ 1 3.00000+ 1 1.13423- 2 2.59818- 3 2.10000+ 1 3.20000+ 1 1.42326- 2 2.68336- 3 2.10000+ 1 3.30000+ 1 1.62078- 2 2.69048- 3 2.10000+ 1 4.10000+ 1 1.29763- 3 2.73704- 3 2.10000+ 1 4.30000+ 1 1.04995- 3 2.75407- 3 2.10000+ 1 4.40000+ 1 1.83356- 3 2.76258- 3 2.10000+ 1 4.60000+ 1 2.11634- 4 2.78197- 3 2.10000+ 1 4.70000+ 1 2.27985- 4 2.78261- 3 2.10000+ 1 5.80000+ 1 1.48712- 4 2.78162- 3 2.20000+ 1 2.20000+ 1 1.48554- 3 2.14912- 3 2.20000+ 1 2.40000+ 1 6.55996- 2 2.46721- 3 2.20000+ 1 2.50000+ 1 3.13299- 3 2.47707- 3 2.20000+ 1 2.70000+ 1 3.84046- 4 2.53100- 3 2.20000+ 1 2.90000+ 1 2.12458- 4 2.58833- 3 2.20000+ 1 3.00000+ 1 3.44830- 4 2.63635- 3 2.20000+ 1 3.20000+ 1 1.13681- 2 2.72153- 3 2.20000+ 1 3.30000+ 1 4.16717- 4 2.72865- 3 2.20000+ 1 4.10000+ 1 6.78207- 5 2.77521- 3 2.20000+ 1 4.30000+ 1 3.43184- 5 2.79224- 3 2.20000+ 1 4.40000+ 1 5.31131- 5 2.80075- 3 2.20000+ 1 4.60000+ 1 1.63427- 4 2.82014- 3 2.20000+ 1 4.70000+ 1 5.71972- 6 2.82078- 3 2.20000+ 1 5.80000+ 1 7.35419- 6 2.81979- 3 2.40000+ 1 2.40000+ 1 6.44691- 2 2.78530- 3 2.40000+ 1 2.50000+ 1 1.85107- 1 2.79516- 3 2.40000+ 1 2.70000+ 1 3.75232- 3 2.84909- 3 2.40000+ 1 2.90000+ 1 2.06663- 3 2.90642- 3 2.40000+ 1 3.00000+ 1 5.20518- 4 2.95444- 3 2.40000+ 1 3.20000+ 1 7.41955- 3 3.03962- 3 2.40000+ 1 3.30000+ 1 1.07457- 2 3.04674- 3 2.40000+ 1 4.10000+ 1 7.52594- 4 3.09330- 3 2.40000+ 1 4.30000+ 1 3.50542- 4 3.11033- 3 2.40000+ 1 4.40000+ 1 8.49828- 5 3.11884- 3 2.40000+ 1 4.60000+ 1 1.09500- 4 3.13823- 3 2.40000+ 1 4.70000+ 1 1.51989- 4 3.13887- 3 2.40000+ 1 5.80000+ 1 8.98870- 5 3.13788- 3 2.50000+ 1 2.50000+ 1 4.29189- 3 2.80502- 3 2.50000+ 1 2.70000+ 1 7.04200- 4 2.85895- 3 2.50000+ 1 2.90000+ 1 6.29377- 4 2.91628- 3 2.50000+ 1 3.00000+ 1 3.89497- 4 2.96430- 3 2.50000+ 1 3.20000+ 1 8.19946- 3 3.04948- 3 2.50000+ 1 3.30000+ 1 5.34519- 4 3.05660- 3 2.50000+ 1 4.10000+ 1 1.30434- 4 3.10316- 3 2.50000+ 1 4.30000+ 1 9.39521- 5 3.12019- 3 2.50000+ 1 4.40000+ 1 6.20256- 5 3.12870- 3 2.50000+ 1 4.60000+ 1 1.16752- 4 3.14809- 3 2.50000+ 1 4.70000+ 1 7.29748- 6 3.14873- 3 2.50000+ 1 5.80000+ 1 1.45952- 5 3.14774- 3 2.70000+ 1 2.70000+ 1 1.63889- 6 2.91288- 3 2.70000+ 1 2.90000+ 1 2.54026- 5 2.97021- 3 2.70000+ 1 3.00000+ 1 2.13059- 5 3.01823- 3 2.70000+ 1 3.20000+ 1 7.92396- 4 3.10341- 3 2.70000+ 1 3.30000+ 1 5.49019- 5 3.11053- 3 2.70000+ 1 4.10000+ 1 8.19442- 7 3.15709- 3 2.70000+ 1 4.30000+ 1 4.09702- 6 3.17412- 3 2.70000+ 1 4.40000+ 1 3.27767- 6 3.18263- 3 2.70000+ 1 4.60000+ 1 1.14718- 5 3.20202- 3 2.70000+ 1 4.70000+ 1 8.19442- 7 3.20266- 3 2.90000+ 1 2.90000+ 1 1.71589- 5 3.02754- 3 2.90000+ 1 3.00000+ 1 8.82513- 5 3.07556- 3 2.90000+ 1 3.20000+ 1 7.24796- 4 3.16074- 3 2.90000+ 1 3.30000+ 1 3.59538- 5 3.16786- 3 2.90000+ 1 4.10000+ 1 4.90265- 6 3.21442- 3 2.90000+ 1 4.30000+ 1 5.71978- 6 3.23145- 3 2.90000+ 1 4.40000+ 1 1.38907- 5 3.23996- 3 2.90000+ 1 4.60000+ 1 1.06225- 5 3.25935- 3 2.90000+ 1 4.70000+ 1 8.17140- 7 3.25999- 3 2.90000+ 1 5.80000+ 1 8.17140- 7 3.25900- 3 3.00000+ 1 3.00000+ 1 3.18689- 5 3.12358- 3 3.00000+ 1 3.20000+ 1 1.37535- 3 3.20876- 3 3.00000+ 1 3.30000+ 1 4.98486- 5 3.21588- 3 3.00000+ 1 4.10000+ 1 4.08568- 6 3.26244- 3 3.00000+ 1 4.30000+ 1 1.38913- 5 3.27947- 3 3.00000+ 1 4.40000+ 1 9.80580- 6 3.28798- 3 3.00000+ 1 4.60000+ 1 1.96127- 5 3.30737- 3 3.00000+ 1 4.70000+ 1 8.17175- 7 3.30801- 3 3.00000+ 1 5.80000+ 1 8.17175- 7 3.30702- 3 3.20000+ 1 3.20000+ 1 1.01574- 3 3.29394- 3 3.20000+ 1 3.30000+ 1 1.97089- 3 3.30106- 3 3.20000+ 1 4.10000+ 1 1.56883- 4 3.34762- 3 3.20000+ 1 4.30000+ 1 1.25838- 4 3.36465- 3 3.20000+ 1 4.40000+ 1 2.22254- 4 3.37316- 3 3.20000+ 1 4.60000+ 1 3.02332- 5 3.39255- 3 3.20000+ 1 4.70000+ 1 2.77821- 5 3.39319- 3 3.20000+ 1 5.80000+ 1 1.79767- 5 3.39220- 3 3.30000+ 1 3.30000+ 1 5.72769- 5 3.30818- 3 3.30000+ 1 4.10000+ 1 1.90914- 5 3.35474- 3 3.30000+ 1 4.30000+ 1 1.11366- 5 3.37177- 3 3.30000+ 1 4.40000+ 1 1.43190- 5 3.38028- 3 3.30000+ 1 4.60000+ 1 5.56841- 5 3.39967- 3 3.30000+ 1 4.70000+ 1 1.59100- 6 3.40031- 3 3.30000+ 1 5.80000+ 1 1.59100- 6 3.39932- 3 4.10000+ 1 4.30000+ 1 6.11300- 7 3.41833- 3 4.10000+ 1 4.40000+ 1 6.11300- 7 3.42684- 3 4.10000+ 1 4.60000+ 1 1.83390- 6 3.44623- 3 4.30000+ 1 4.30000+ 1 4.93950- 7 3.43536- 3 4.30000+ 1 4.40000+ 1 1.48185- 6 3.44387- 3 4.30000+ 1 4.60000+ 1 9.87901- 7 3.46326- 3 4.40000+ 1 4.40000+ 1 4.54991- 7 3.45238- 3 4.40000+ 1 4.60000+ 1 1.81991- 6 3.47177- 3 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.55459- 3 2.38244- 3 2.40000+ 1 2.35539- 3 2.98005- 3 2.50000+ 1 4.61037- 2 2.98991- 3 3.00000+ 1 3.63188- 4 3.14919- 3 4.40000+ 1 5.43257- 5 3.31359- 3 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 7.40445- 6 7.17400- 4 1.60000+ 1 1.80000+ 1 2.48461- 4 8.65700- 4 1.60000+ 1 1.90000+ 1 1.65205- 3 1.07184- 3 1.60000+ 1 2.10000+ 1 3.16495- 3 1.31319- 3 1.60000+ 1 2.20000+ 1 3.25748- 2 1.35136- 3 1.60000+ 1 2.40000+ 1 4.16125- 3 1.66945- 3 1.60000+ 1 2.50000+ 1 1.67793- 2 1.67931- 3 1.60000+ 1 2.70000+ 1 1.23403- 5 1.73324- 3 1.60000+ 1 2.90000+ 1 1.72772- 5 1.79057- 3 1.60000+ 1 3.00000+ 1 2.49274- 4 1.83859- 3 1.60000+ 1 3.20000+ 1 3.73510- 4 1.92377- 3 1.60000+ 1 3.30000+ 1 3.90301- 3 1.93089- 3 1.60000+ 1 4.10000+ 1 3.29080- 6 1.97745- 3 1.60000+ 1 4.30000+ 1 2.46815- 6 1.99448- 3 1.60000+ 1 4.40000+ 1 3.78439- 5 2.00299- 3 1.60000+ 1 4.60000+ 1 5.75885- 6 2.02238- 3 1.60000+ 1 4.70000+ 1 5.26536- 5 2.02302- 3 1.80000+ 1 1.80000+ 1 4.93607- 6 1.01400- 3 1.80000+ 1 1.90000+ 1 4.88102- 3 1.22014- 3 1.80000+ 1 2.10000+ 1 2.37768- 4 1.46149- 3 1.80000+ 1 2.20000+ 1 3.36268- 2 1.49966- 3 1.80000+ 1 2.40000+ 1 2.29200- 3 1.81775- 3 1.80000+ 1 2.50000+ 1 9.85339- 3 1.82761- 3 1.80000+ 1 2.70000+ 1 3.20847- 5 1.88154- 3 1.80000+ 1 2.90000+ 1 1.64539- 6 1.93887- 3 1.80000+ 1 3.00000+ 1 7.38783- 4 1.98689- 3 1.80000+ 1 3.20000+ 1 6.58175- 6 2.07207- 3 1.80000+ 1 3.30000+ 1 4.02208- 3 2.07919- 3 1.80000+ 1 4.10000+ 1 5.75880- 6 2.12575- 3 1.80000+ 1 4.30000+ 1 8.22714- 7 2.14278- 3 1.80000+ 1 4.40000+ 1 1.11888- 4 2.15129- 3 1.80000+ 1 4.70000+ 1 5.42974- 5 2.17132- 3 1.80000+ 1 5.80000+ 1 8.22714- 7 2.17033- 3 1.90000+ 1 1.90000+ 1 3.06789- 3 1.42628- 3 1.90000+ 1 2.10000+ 1 3.05132- 3 1.66763- 3 1.90000+ 1 2.20000+ 1 4.90659- 2 1.70580- 3 1.90000+ 1 2.40000+ 1 2.03537- 3 2.02389- 3 1.90000+ 1 2.50000+ 1 3.39297- 3 2.03375- 3 1.90000+ 1 2.70000+ 1 3.15923- 4 2.08768- 3 1.90000+ 1 2.90000+ 1 6.33481- 4 2.14501- 3 1.90000+ 1 3.00000+ 1 9.53548- 4 2.19303- 3 1.90000+ 1 3.20000+ 1 4.53309- 4 2.27821- 3 1.90000+ 1 3.30000+ 1 5.83555- 3 2.28533- 3 1.90000+ 1 4.10000+ 1 6.08806- 5 2.33189- 3 1.90000+ 1 4.30000+ 1 9.95523- 5 2.34892- 3 1.90000+ 1 4.40000+ 1 1.45629- 4 2.35743- 3 1.90000+ 1 4.60000+ 1 6.58185- 6 2.37682- 3 1.90000+ 1 4.70000+ 1 7.81569- 5 2.37746- 3 1.90000+ 1 5.80000+ 1 6.58185- 6 2.37647- 3 2.10000+ 1 2.10000+ 1 6.68045- 4 1.90898- 3 2.10000+ 1 2.20000+ 1 6.94981- 2 1.94715- 3 2.10000+ 1 2.40000+ 1 2.84495- 3 2.26524- 3 2.10000+ 1 2.50000+ 1 3.93358- 2 2.27510- 3 2.10000+ 1 2.70000+ 1 3.27447- 4 2.32903- 3 2.10000+ 1 2.90000+ 1 6.25261- 5 2.38636- 3 2.10000+ 1 3.00000+ 1 4.79652- 4 2.43438- 3 2.10000+ 1 3.20000+ 1 1.80994- 4 2.51956- 3 2.10000+ 1 3.30000+ 1 8.37932- 3 2.52668- 3 2.10000+ 1 4.10000+ 1 5.67669- 5 2.57324- 3 2.10000+ 1 4.30000+ 1 1.06951- 5 2.59027- 3 2.10000+ 1 4.40000+ 1 7.32230- 5 2.59878- 3 2.10000+ 1 4.60000+ 1 2.46817- 6 2.61817- 3 2.10000+ 1 4.70000+ 1 1.12713- 4 2.61881- 3 2.10000+ 1 5.80000+ 1 6.58186- 6 2.61782- 3 2.20000+ 1 2.20000+ 1 7.69105- 2 1.98532- 3 2.20000+ 1 2.40000+ 1 6.18092- 2 2.30341- 3 2.20000+ 1 2.50000+ 1 9.94820- 2 2.31327- 3 2.20000+ 1 2.70000+ 1 6.81703- 3 2.36720- 3 2.20000+ 1 2.90000+ 1 7.23009- 3 2.42453- 3 2.20000+ 1 3.00000+ 1 1.07931- 2 2.47255- 3 2.20000+ 1 3.20000+ 1 1.19218- 2 2.55773- 3 2.20000+ 1 3.30000+ 1 2.25214- 2 2.56485- 3 2.20000+ 1 4.10000+ 1 1.34837- 3 2.61141- 3 2.20000+ 1 4.30000+ 1 1.24147- 3 2.62844- 3 2.20000+ 1 4.40000+ 1 1.74744- 3 2.63695- 3 2.20000+ 1 4.60000+ 1 1.80169- 4 2.65634- 3 2.20000+ 1 4.70000+ 1 3.11001- 4 2.65698- 3 2.20000+ 1 5.80000+ 1 1.54672- 4 2.65599- 3 2.40000+ 1 2.40000+ 1 5.35440- 3 2.62150- 3 2.40000+ 1 2.50000+ 1 1.70248- 1 2.63136- 3 2.40000+ 1 2.70000+ 1 7.53620- 4 2.68529- 3 2.40000+ 1 2.90000+ 1 4.54135- 4 2.74262- 3 2.40000+ 1 3.00000+ 1 3.77648- 4 2.79064- 3 2.40000+ 1 3.20000+ 1 4.71441- 4 2.87582- 3 2.40000+ 1 3.30000+ 1 7.03189- 3 2.88294- 3 2.40000+ 1 4.10000+ 1 1.43163- 4 2.92950- 3 2.40000+ 1 4.30000+ 1 7.73367- 5 2.94653- 3 2.40000+ 1 4.40000+ 1 5.92377- 5 2.95504- 3 2.40000+ 1 4.60000+ 1 7.40469- 6 2.97443- 3 2.40000+ 1 4.70000+ 1 9.37912- 5 2.97507- 3 2.40000+ 1 5.80000+ 1 1.64545- 5 2.97408- 3 2.50000+ 1 2.50000+ 1 1.16265- 1 2.64122- 3 2.50000+ 1 2.70000+ 1 3.86353- 3 2.69515- 3 2.50000+ 1 2.90000+ 1 2.15798- 3 2.75248- 3 2.50000+ 1 3.00000+ 1 7.14945- 4 2.80050- 3 2.50000+ 1 3.20000+ 1 6.28325- 3 2.88568- 3 2.50000+ 1 3.30000+ 1 1.35505- 2 2.89280- 3 2.50000+ 1 4.10000+ 1 7.73360- 4 2.93936- 3 2.50000+ 1 4.30000+ 1 3.72676- 4 2.95639- 3 2.50000+ 1 4.40000+ 1 1.15997- 4 2.96490- 3 2.50000+ 1 4.60000+ 1 9.46126- 5 2.98429- 3 2.50000+ 1 4.70000+ 1 1.85936- 4 2.98493- 3 2.50000+ 1 5.80000+ 1 9.13229- 5 2.98394- 3 2.70000+ 1 2.70000+ 1 8.36245- 7 2.74908- 3 2.70000+ 1 2.90000+ 1 8.36245- 7 2.80641- 3 2.70000+ 1 3.00000+ 1 5.10111- 5 2.85443- 3 2.70000+ 1 3.20000+ 1 4.51564- 5 2.93961- 3 2.70000+ 1 3.30000+ 1 8.37071- 4 2.94673- 3 2.70000+ 1 4.40000+ 1 7.52617- 6 3.01883- 3 2.70000+ 1 4.60000+ 1 8.36245- 7 3.03822- 3 2.70000+ 1 4.70000+ 1 1.08708- 5 3.03886- 3 2.90000+ 1 3.00000+ 1 1.02841- 4 2.91176- 3 2.90000+ 1 3.20000+ 1 4.11371- 6 2.99694- 3 2.90000+ 1 3.30000+ 1 8.77888- 4 3.00406- 3 2.90000+ 1 4.40000+ 1 1.56328- 5 3.07616- 3 2.90000+ 1 4.70000+ 1 1.15189- 5 3.09619- 3 3.00000+ 1 3.00000+ 1 7.48710- 5 2.95978- 3 3.00000+ 1 3.20000+ 1 7.65154- 5 3.04496- 3 3.00000+ 1 3.30000+ 1 1.29002- 3 3.05208- 3 3.00000+ 1 4.10000+ 1 9.87295- 6 3.09864- 3 3.00000+ 1 4.30000+ 1 1.64547- 5 3.11567- 3 3.00000+ 1 4.40000+ 1 2.30372- 5 3.12418- 3 3.00000+ 1 4.60000+ 1 8.22758- 7 3.14357- 3 3.00000+ 1 4.70000+ 1 1.72780- 5 3.14421- 3 3.00000+ 1 5.80000+ 1 8.22758- 7 3.14322- 3 3.20000+ 1 3.20000+ 1 1.15182- 5 3.13014- 3 3.20000+ 1 3.30000+ 1 1.44716- 3 3.13726- 3 3.20000+ 1 4.10000+ 1 7.40448- 6 3.18382- 3 3.20000+ 1 4.30000+ 1 8.22724- 7 3.20085- 3 3.20000+ 1 4.40000+ 1 1.15182- 5 3.20936- 3 3.20000+ 1 4.70000+ 1 1.97447- 5 3.22939- 3 3.20000+ 1 5.80000+ 1 8.22724- 7 3.22840- 3 3.30000+ 1 3.30000+ 1 1.59199- 3 3.14438- 3 3.30000+ 1 4.10000+ 1 1.62898- 4 3.19094- 3 3.30000+ 1 4.30000+ 1 1.51383- 4 3.20797- 3 3.30000+ 1 4.40000+ 1 2.08975- 4 3.21648- 3 3.30000+ 1 4.60000+ 1 2.22136- 5 3.23587- 3 3.30000+ 1 4.70000+ 1 4.36050- 5 3.23651- 3 3.30000+ 1 5.80000+ 1 1.89229- 5 3.23552- 3 4.10000+ 1 4.40000+ 1 1.13878- 6 3.26304- 3 4.10000+ 1 4.70000+ 1 1.70820- 6 3.28307- 3 4.30000+ 1 4.40000+ 1 2.17909- 6 3.28007- 3 4.30000+ 1 4.70000+ 1 1.45269- 6 3.30010- 3 4.40000+ 1 4.40000+ 1 1.12274- 6 3.28858- 3 4.40000+ 1 4.70000+ 1 1.68414- 6 3.30861- 3 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.53739- 5 1.48300- 4 1.90000+ 1 4.32556- 4 3.54440- 4 2.90000+ 1 3.00233- 4 1.07317- 3 3.00000+ 1 7.76930- 5 1.12119- 3 4.30000+ 1 6.12854- 5 1.27708- 3 4.40000+ 1 1.84495- 5 1.28559- 3 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.20000+ 1 6.56918- 2 4.40700- 5 1.80000+ 1 3.30000+ 1 1.03378- 1 5.11900- 5 1.80000+ 1 4.10000+ 1 9.52044- 3 9.77500- 5 1.80000+ 1 4.30000+ 1 7.70486- 3 1.14780- 4 1.80000+ 1 4.40000+ 1 1.10882- 2 1.23290- 4 1.80000+ 1 4.60000+ 1 8.29750- 4 1.42680- 4 1.80000+ 1 4.70000+ 1 1.21272- 3 1.43320- 4 1.80000+ 1 5.80000+ 1 1.06410- 3 1.42330- 4 1.90000+ 1 2.40000+ 1 6.60672- 3 0.00000+ 0 1.90000+ 1 2.50000+ 1 2.19061- 2 5.75000- 6 1.90000+ 1 2.70000+ 1 4.26256- 2 5.96800- 5 1.90000+ 1 2.90000+ 1 5.13728- 2 1.17010- 4 1.90000+ 1 3.00000+ 1 4.74310- 2 1.65030- 4 1.90000+ 1 3.20000+ 1 4.25509- 2 2.50210- 4 1.90000+ 1 3.30000+ 1 5.30355- 2 2.57330- 4 1.90000+ 1 4.10000+ 1 8.41206- 3 3.03890- 4 1.90000+ 1 4.30000+ 1 8.37854- 3 3.20920- 4 1.90000+ 1 4.40000+ 1 7.67096- 3 3.29430- 4 1.90000+ 1 4.60000+ 1 5.98548- 4 3.48820- 4 1.90000+ 1 4.70000+ 1 7.16832- 4 3.49460- 4 1.90000+ 1 5.80000+ 1 9.63608- 4 3.48470- 4 2.10000+ 1 2.40000+ 1 3.95728- 3 2.37240- 4 2.10000+ 1 2.50000+ 1 5.20577- 3 2.47100- 4 2.10000+ 1 2.70000+ 1 1.74915- 2 3.01030- 4 2.10000+ 1 2.90000+ 1 6.09201- 3 3.58360- 4 2.10000+ 1 3.00000+ 1 6.36684- 3 4.06380- 4 2.10000+ 1 3.20000+ 1 2.10464- 3 4.91560- 4 2.10000+ 1 3.30000+ 1 2.90924- 3 4.98680- 4 2.10000+ 1 4.10000+ 1 2.53483- 3 5.45240- 4 2.10000+ 1 4.30000+ 1 9.87341- 4 5.62270- 4 2.10000+ 1 4.40000+ 1 8.45762- 4 5.70780- 4 2.10000+ 1 4.60000+ 1 2.91170- 5 5.90170- 4 2.10000+ 1 4.70000+ 1 3.88226- 5 5.90810- 4 2.10000+ 1 5.80000+ 1 2.77674- 4 5.89820- 4 2.20000+ 1 2.40000+ 1 6.06066- 3 2.75410- 4 2.20000+ 1 2.50000+ 1 7.09867- 3 2.85270- 4 2.20000+ 1 2.70000+ 1 2.44758- 2 3.39200- 4 2.20000+ 1 2.90000+ 1 9.67585- 3 3.96530- 4 2.20000+ 1 3.00000+ 1 7.47679- 3 4.44550- 4 2.20000+ 1 3.20000+ 1 2.30781- 3 5.29730- 4 2.20000+ 1 3.30000+ 1 3.38434- 3 5.36850- 4 2.20000+ 1 4.10000+ 1 3.52258- 3 5.83410- 4 2.20000+ 1 4.30000+ 1 1.38829- 3 6.00440- 4 2.20000+ 1 4.40000+ 1 1.10896- 3 6.08950- 4 2.20000+ 1 4.60000+ 1 3.30346- 5 6.28340- 4 2.20000+ 1 4.70000+ 1 4.53083- 5 6.28980- 4 2.20000+ 1 5.80000+ 1 3.85648- 4 6.27990- 4 2.40000+ 1 2.40000+ 1 9.25561- 3 5.93500- 4 2.40000+ 1 2.50000+ 1 1.76049- 2 6.03360- 4 2.40000+ 1 2.70000+ 1 2.14518- 2 6.57290- 4 2.40000+ 1 2.90000+ 1 3.00396- 3 7.14620- 4 2.40000+ 1 3.00000+ 1 1.25316- 2 7.62640- 4 2.40000+ 1 3.20000+ 1 1.20646- 3 8.47820- 4 2.40000+ 1 3.30000+ 1 7.75919- 4 8.54940- 4 2.40000+ 1 4.10000+ 1 2.64128- 3 9.01500- 4 2.40000+ 1 4.30000+ 1 3.90021- 4 9.18530- 4 2.40000+ 1 4.40000+ 1 1.56192- 3 9.27040- 4 2.40000+ 1 4.60000+ 1 1.71356- 5 9.46430- 4 2.40000+ 1 4.70000+ 1 1.01596- 5 9.47070- 4 2.40000+ 1 5.80000+ 1 2.80985- 4 9.46080- 4 2.50000+ 1 2.50000+ 1 1.52998- 2 6.13220- 4 2.50000+ 1 2.70000+ 1 2.77793- 2 6.67150- 4 2.50000+ 1 2.90000+ 1 1.46271- 3 7.24480- 4 2.50000+ 1 3.00000+ 1 1.34547- 2 7.72500- 4 2.50000+ 1 3.20000+ 1 7.05759- 4 8.57680- 4 2.50000+ 1 3.30000+ 1 1.73204- 3 8.64800- 4 2.50000+ 1 4.10000+ 1 3.40743- 3 9.11360- 4 2.50000+ 1 4.30000+ 1 1.84636- 4 9.28390- 4 2.50000+ 1 4.40000+ 1 1.60727- 3 9.36900- 4 2.50000+ 1 4.60000+ 1 1.01647- 5 9.56290- 4 2.50000+ 1 4.70000+ 1 2.27573- 5 9.56930- 4 2.50000+ 1 5.80000+ 1 3.62144- 4 9.55940- 4 2.70000+ 1 2.70000+ 1 1.65548- 2 7.21080- 4 2.70000+ 1 2.90000+ 1 2.44671- 2 7.78410- 4 2.70000+ 1 3.00000+ 1 3.86826- 2 8.26430- 4 2.70000+ 1 3.20000+ 1 3.75879- 2 9.11610- 4 2.70000+ 1 3.30000+ 1 5.20904- 2 9.18730- 4 2.70000+ 1 4.10000+ 1 5.43869- 3 9.65290- 4 2.70000+ 1 4.30000+ 1 4.23607- 3 9.82320- 4 2.70000+ 1 4.40000+ 1 6.23746- 3 9.90830- 4 2.70000+ 1 4.60000+ 1 5.74724- 4 1.01022- 3 2.70000+ 1 4.70000+ 1 7.39975- 4 1.01086- 3 2.70000+ 1 5.80000+ 1 6.09603- 4 1.00987- 3 2.90000+ 1 2.90000+ 1 1.89775- 3 8.35740- 4 2.90000+ 1 3.00000+ 1 8.46833- 3 8.83760- 4 2.90000+ 1 3.20000+ 1 3.39768- 3 9.68940- 4 2.90000+ 1 3.30000+ 1 2.43602- 3 9.76060- 4 2.90000+ 1 4.10000+ 1 3.02911- 3 1.02262- 3 2.90000+ 1 4.30000+ 1 5.34643- 4 1.03965- 3 2.90000+ 1 4.40000+ 1 1.02914- 3 1.04816- 3 2.90000+ 1 4.60000+ 1 4.92686- 5 1.06755- 3 2.90000+ 1 4.70000+ 1 3.10205- 5 1.06819- 3 2.90000+ 1 5.80000+ 1 3.22973- 4 1.06720- 3 3.00000+ 1 3.00000+ 1 5.16812- 3 9.31780- 4 3.00000+ 1 3.20000+ 1 2.47166- 3 1.01696- 3 3.00000+ 1 3.30000+ 1 5.79806- 3 1.02408- 3 3.00000+ 1 4.10000+ 1 5.08260- 3 1.07064- 3 3.00000+ 1 4.30000+ 1 1.32682- 3 1.08767- 3 3.00000+ 1 4.40000+ 1 1.45137- 3 1.09618- 3 3.00000+ 1 4.60000+ 1 3.71674- 5 1.11557- 3 3.00000+ 1 4.70000+ 1 8.17705- 5 1.11621- 3 3.00000+ 1 5.80000+ 1 5.46353- 4 1.11522- 3 3.20000+ 1 3.20000+ 1 1.00779- 3 1.10214- 3 3.20000+ 1 3.30000+ 1 3.05690- 3 1.10926- 3 3.20000+ 1 4.10000+ 1 5.07656- 3 1.15582- 3 3.20000+ 1 4.30000+ 1 4.92157- 4 1.17285- 3 3.20000+ 1 4.40000+ 1 2.62742- 4 1.18136- 3 3.20000+ 1 4.60000+ 1 2.94119- 5 1.20075- 3 3.20000+ 1 4.70000+ 1 3.72555- 5 1.20139- 3 3.20000+ 1 5.80000+ 1 5.43143- 4 1.20040- 3 3.30000+ 1 3.30000+ 1 1.95844- 3 1.11638- 3 3.30000+ 1 4.10000+ 1 6.75948- 3 1.16294- 3 3.30000+ 1 4.30000+ 1 2.95937- 4 1.17997- 3 3.30000+ 1 4.40000+ 1 7.27564- 4 1.18848- 3 3.30000+ 1 4.60000+ 1 3.76989- 5 1.20787- 3 3.30000+ 1 4.70000+ 1 5.08938- 5 1.20851- 3 3.30000+ 1 5.80000+ 1 7.21950- 4 1.20752- 3 4.10000+ 1 4.10000+ 1 3.91207- 4 1.20950- 3 4.10000+ 1 4.30000+ 1 5.01243- 4 1.22653- 3 4.10000+ 1 4.40000+ 1 7.56203- 4 1.23504- 3 4.10000+ 1 4.60000+ 1 6.98571- 5 1.25443- 3 4.10000+ 1 4.70000+ 1 8.90624- 5 1.25507- 3 4.10000+ 1 5.80000+ 1 8.73213- 5 1.25408- 3 4.30000+ 1 4.30000+ 1 3.63310- 5 1.24356- 3 4.30000+ 1 4.40000+ 1 1.54406- 4 1.25207- 3 4.30000+ 1 4.60000+ 1 7.26604- 6 1.27146- 3 4.30000+ 1 4.70000+ 1 3.63310- 6 1.27210- 3 4.30000+ 1 5.80000+ 1 5.63127- 5 1.27111- 3 4.40000+ 1 4.40000+ 1 8.95000- 5 1.26058- 3 4.40000+ 1 4.60000+ 1 3.44227- 6 1.27997- 3 4.40000+ 1 4.70000+ 1 8.60546- 6 1.28061- 3 4.40000+ 1 5.80000+ 1 7.91717- 5 1.27962- 3 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.02080- 3 4.47490- 4 2.70000+ 1 2.43510- 4 8.67540- 4 3.20000+ 1 6.89608- 5 1.05807- 3 4.10000+ 1 4.74210- 5 1.11175- 3 5.80000+ 1 5.51657- 6 1.15633- 3 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.00000+ 1 2.14698- 2 1.67300- 5 1.90000+ 1 3.20000+ 1 1.16404- 2 1.01910- 4 1.90000+ 1 3.30000+ 1 1.77692- 2 1.09030- 4 1.90000+ 1 4.10000+ 1 2.48102- 3 1.55590- 4 1.90000+ 1 4.30000+ 1 2.73054- 3 1.72620- 4 1.90000+ 1 4.40000+ 1 2.67542- 3 1.81130- 4 1.90000+ 1 4.60000+ 1 1.34158- 4 2.00520- 4 1.90000+ 1 4.70000+ 1 1.97598- 4 2.01160- 4 1.90000+ 1 5.80000+ 1 2.72875- 4 2.00170- 4 2.10000+ 1 2.40000+ 1 1.02203- 1 8.89400- 5 2.10000+ 1 2.50000+ 1 2.41652- 1 9.88000- 5 2.10000+ 1 2.70000+ 1 3.63409- 2 1.52730- 4 2.10000+ 1 2.90000+ 1 2.94071- 2 2.10060- 4 2.10000+ 1 3.00000+ 1 3.73884- 2 2.58080- 4 2.10000+ 1 3.20000+ 1 2.09205- 2 3.43260- 4 2.10000+ 1 3.30000+ 1 3.16941- 2 3.50380- 4 2.10000+ 1 4.10000+ 1 7.22221- 3 3.96940- 4 2.10000+ 1 4.30000+ 1 4.76046- 3 4.13970- 4 2.10000+ 1 4.40000+ 1 5.95982- 3 4.22480- 4 2.10000+ 1 4.60000+ 1 3.10469- 4 4.41870- 4 2.10000+ 1 4.70000+ 1 4.28633- 4 4.42510- 4 2.10000+ 1 5.80000+ 1 8.27319- 4 4.41520- 4 2.20000+ 1 2.40000+ 1 4.23793- 2 1.27110- 4 2.20000+ 1 2.50000+ 1 1.08476- 2 1.36970- 4 2.20000+ 1 2.70000+ 1 5.73709- 3 1.90900- 4 2.20000+ 1 2.90000+ 1 2.44852- 2 2.48230- 4 2.20000+ 1 3.00000+ 1 5.06213- 3 2.96250- 4 2.20000+ 1 3.20000+ 1 2.34004- 3 3.81430- 4 2.20000+ 1 3.30000+ 1 2.58223- 3 3.88550- 4 2.20000+ 1 4.10000+ 1 8.67080- 4 4.35110- 4 2.20000+ 1 4.30000+ 1 2.79578- 3 4.52140- 4 2.20000+ 1 4.40000+ 1 6.27890- 4 4.60650- 4 2.20000+ 1 4.60000+ 1 3.02632- 5 4.80040- 4 2.20000+ 1 4.70000+ 1 3.41736- 5 4.80680- 4 2.20000+ 1 5.80000+ 1 9.57120- 5 4.79690- 4 2.40000+ 1 2.40000+ 1 2.17278- 3 4.45200- 4 2.40000+ 1 2.50000+ 1 1.21198- 2 4.55060- 4 2.40000+ 1 2.70000+ 1 5.03678- 3 5.08990- 4 2.40000+ 1 2.90000+ 1 2.02102- 2 5.66320- 4 2.40000+ 1 3.00000+ 1 2.85461- 3 6.14340- 4 2.40000+ 1 3.20000+ 1 5.97942- 3 6.99520- 4 2.40000+ 1 3.30000+ 1 4.26896- 3 7.06640- 4 2.40000+ 1 4.10000+ 1 1.01733- 3 7.53200- 4 2.40000+ 1 4.30000+ 1 2.34958- 3 7.70230- 4 2.40000+ 1 4.40000+ 1 4.03547- 4 7.78740- 4 2.40000+ 1 4.60000+ 1 7.30762- 5 7.98130- 4 2.40000+ 1 4.70000+ 1 5.95090- 5 7.98770- 4 2.40000+ 1 5.80000+ 1 1.16618- 4 7.97780- 4 2.50000+ 1 2.50000+ 1 6.04021- 4 4.64920- 4 2.50000+ 1 2.70000+ 1 2.87066- 3 5.18850- 4 2.50000+ 1 2.90000+ 1 3.19003- 2 5.76180- 4 2.50000+ 1 3.00000+ 1 1.80696- 3 6.24200- 4 2.50000+ 1 3.20000+ 1 1.26504- 2 7.09380- 4 2.50000+ 1 3.30000+ 1 1.20194- 3 7.16500- 4 2.50000+ 1 4.10000+ 1 4.32401- 4 7.63060- 4 2.50000+ 1 4.30000+ 1 3.57130- 3 7.80090- 4 2.50000+ 1 4.40000+ 1 2.41109- 4 7.88600- 4 2.50000+ 1 4.60000+ 1 1.53208- 4 8.07990- 4 2.50000+ 1 4.70000+ 1 1.56395- 5 8.08630- 4 2.50000+ 1 5.80000+ 1 4.73528- 5 8.07640- 4 2.70000+ 1 2.70000+ 1 1.44819- 3 5.72780- 4 2.70000+ 1 2.90000+ 1 1.91337- 2 6.30110- 4 2.70000+ 1 3.00000+ 1 3.65884- 3 6.78130- 4 2.70000+ 1 3.20000+ 1 4.72236- 3 7.63310- 4 2.70000+ 1 3.30000+ 1 3.36195- 3 7.70430- 4 2.70000+ 1 4.10000+ 1 4.42680- 4 8.16990- 4 2.70000+ 1 4.30000+ 1 2.10405- 3 8.34020- 4 2.70000+ 1 4.40000+ 1 5.29076- 4 8.42530- 4 2.70000+ 1 4.60000+ 1 5.66819- 5 8.61920- 4 2.70000+ 1 4.70000+ 1 4.45380- 5 8.62560- 4 2.70000+ 1 5.80000+ 1 4.85866- 5 8.61570- 4 2.90000+ 1 2.90000+ 1 1.46740- 2 6.87440- 4 2.90000+ 1 3.00000+ 1 3.86560- 2 7.35460- 4 2.90000+ 1 3.20000+ 1 3.03698- 2 8.20640- 4 2.90000+ 1 3.30000+ 1 5.07924- 2 8.27760- 4 2.90000+ 1 4.10000+ 1 4.44235- 3 8.74320- 4 2.90000+ 1 4.30000+ 1 4.22616- 3 8.91350- 4 2.90000+ 1 4.40000+ 1 6.27322- 3 8.99860- 4 2.90000+ 1 4.60000+ 1 4.66164- 4 9.19250- 4 2.90000+ 1 4.70000+ 1 7.19187- 4 9.19890- 4 2.90000+ 1 5.80000+ 1 5.10623- 4 9.18900- 4 3.00000+ 1 3.00000+ 1 1.21505- 3 7.83480- 4 3.00000+ 1 3.20000+ 1 5.06367- 3 8.68660- 4 3.00000+ 1 3.30000+ 1 2.25733- 3 8.75780- 4 3.00000+ 1 4.10000+ 1 5.26669- 4 9.22340- 4 3.00000+ 1 4.30000+ 1 3.93007- 3 9.39370- 4 3.00000+ 1 4.40000+ 1 3.31778- 4 9.47880- 4 3.00000+ 1 4.60000+ 1 5.94440- 5 9.67270- 4 3.00000+ 1 4.70000+ 1 3.04124- 5 9.67910- 4 3.00000+ 1 5.80000+ 1 5.66748- 5 9.66920- 4 3.20000+ 1 3.20000+ 1 1.19166- 3 9.53840- 4 3.20000+ 1 3.30000+ 1 1.86610- 3 9.60960- 4 3.20000+ 1 4.10000+ 1 5.53091- 4 1.00752- 3 3.20000+ 1 4.30000+ 1 1.95587- 3 1.02455- 3 3.20000+ 1 4.40000+ 1 4.94973- 4 1.03306- 3 3.20000+ 1 4.60000+ 1 3.33381- 5 1.05245- 3 3.20000+ 1 4.70000+ 1 2.64997- 5 1.05309- 3 3.20000+ 1 5.80000+ 1 6.32556- 5 1.05210- 3 3.30000+ 1 3.30000+ 1 2.37832- 4 9.68080- 4 3.30000+ 1 4.10000+ 1 2.08741- 4 1.01464- 3 3.30000+ 1 4.30000+ 1 2.44674- 3 1.03167- 3 3.30000+ 1 4.40000+ 1 1.38299- 4 1.04018- 3 3.30000+ 1 4.60000+ 1 1.68026- 5 1.05957- 3 3.30000+ 1 4.70000+ 1 6.46262- 6 1.06021- 3 3.30000+ 1 5.80000+ 1 2.26186- 5 1.05922- 3 4.10000+ 1 4.10000+ 1 1.43209- 5 1.06120- 3 4.10000+ 1 4.30000+ 1 1.76255- 4 1.07823- 3 4.10000+ 1 4.40000+ 1 3.02945- 5 1.08674- 3 4.10000+ 1 4.60000+ 1 4.40656- 6 1.10613- 3 4.10000+ 1 4.70000+ 1 2.20315- 6 1.10677- 3 4.10000+ 1 5.80000+ 1 3.30468- 6 1.10578- 3 4.30000+ 1 4.30000+ 1 1.02556- 4 1.09526- 3 4.30000+ 1 4.40000+ 1 2.55548- 4 1.10377- 3 4.30000+ 1 4.60000+ 1 1.94018- 5 1.12316- 3 4.30000+ 1 4.70000+ 1 2.99349- 5 1.12380- 3 4.30000+ 1 5.80000+ 1 2.05111- 5 1.12281- 3 4.40000+ 1 4.40000+ 1 6.33805- 6 1.11228- 3 4.40000+ 1 4.60000+ 1 2.77303- 6 1.13167- 3 4.40000+ 1 4.70000+ 1 1.18838- 6 1.13231- 3 4.40000+ 1 5.80000+ 1 2.37669- 6 1.13132- 3 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.33350- 5 2.41350- 4 2.20000+ 1 1.93923- 4 2.79520- 4 2.70000+ 1 2.60289- 4 6.61400- 4 3.20000+ 1 2.67240- 5 8.51930- 4 3.30000+ 1 1.59057- 4 8.59050- 4 4.10000+ 1 4.96298- 5 9.05610- 4 5.80000+ 1 6.04860- 6 9.50190- 4 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.90000+ 1 1.65084- 2 3.92000- 6 2.10000+ 1 3.00000+ 1 4.64590- 2 5.19400- 5 2.10000+ 1 3.20000+ 1 1.57891- 2 1.37120- 4 2.10000+ 1 3.30000+ 1 2.47146- 2 1.44240- 4 2.10000+ 1 4.10000+ 1 3.57243- 3 1.90800- 4 2.10000+ 1 4.30000+ 1 2.56336- 3 2.07830- 4 2.10000+ 1 4.40000+ 1 6.04631- 3 2.16340- 4 2.10000+ 1 4.60000+ 1 2.16429- 4 2.35730- 4 2.10000+ 1 4.70000+ 1 3.05450- 4 2.36370- 4 2.10000+ 1 5.80000+ 1 4.04874- 4 2.35380- 4 2.20000+ 1 2.90000+ 1 1.25342- 1 4.20900- 5 2.20000+ 1 3.00000+ 1 1.42581- 1 9.01100- 5 2.20000+ 1 3.20000+ 1 1.22807- 1 1.75290- 4 2.20000+ 1 3.30000+ 1 1.47857- 1 1.82410- 4 2.20000+ 1 4.10000+ 1 2.30436- 2 2.28970- 4 2.20000+ 1 4.30000+ 1 2.04573- 2 2.46000- 4 2.20000+ 1 4.40000+ 1 2.10580- 2 2.54510- 4 2.20000+ 1 4.60000+ 1 1.66982- 3 2.73900- 4 2.20000+ 1 4.70000+ 1 1.93248- 3 2.74540- 4 2.20000+ 1 5.80000+ 1 2.61082- 3 2.73550- 4 2.40000+ 1 2.40000+ 1 8.70755- 4 2.39060- 4 2.40000+ 1 2.50000+ 1 6.18433- 3 2.48920- 4 2.40000+ 1 2.70000+ 1 8.63731- 3 3.02850- 4 2.40000+ 1 2.90000+ 1 4.64781- 3 3.60180- 4 2.40000+ 1 3.00000+ 1 5.36890- 2 4.08200- 4 2.40000+ 1 3.20000+ 1 2.01536- 3 4.93380- 4 2.40000+ 1 3.30000+ 1 7.81793- 3 5.00500- 4 2.40000+ 1 4.10000+ 1 1.09925- 3 5.47060- 4 2.40000+ 1 4.30000+ 1 6.76708- 4 5.64090- 4 2.40000+ 1 4.40000+ 1 5.84686- 3 5.72600- 4 2.40000+ 1 4.60000+ 1 2.71841- 5 5.91990- 4 2.40000+ 1 4.70000+ 1 8.64687- 5 5.92630- 4 2.40000+ 1 5.80000+ 1 1.17993- 4 5.91640- 4 2.50000+ 1 2.50000+ 1 4.27923- 3 2.58780- 4 2.50000+ 1 2.70000+ 1 1.99395- 2 3.12710- 4 2.50000+ 1 2.90000+ 1 1.65338- 2 3.70040- 4 2.50000+ 1 3.00000+ 1 6.53914- 2 4.18060- 4 2.50000+ 1 3.20000+ 1 1.58739- 3 5.03240- 4 2.50000+ 1 3.30000+ 1 1.10018- 2 5.10360- 4 2.50000+ 1 4.10000+ 1 3.07645- 3 5.56920- 4 2.50000+ 1 4.30000+ 1 2.50859- 3 5.73950- 4 2.50000+ 1 4.40000+ 1 7.21040- 3 5.82460- 4 2.50000+ 1 4.60000+ 1 2.43107- 5 6.01850- 4 2.50000+ 1 4.70000+ 1 1.25903- 4 6.02490- 4 2.50000+ 1 5.80000+ 1 3.41211- 4 6.01500- 4 2.70000+ 1 2.70000+ 1 1.07091- 5 3.66640- 4 2.70000+ 1 2.90000+ 1 2.29056- 4 4.23970- 4 2.70000+ 1 3.00000+ 1 4.91722- 3 4.71990- 4 2.70000+ 1 3.20000+ 1 4.53345- 4 5.57170- 4 2.70000+ 1 3.30000+ 1 7.80872- 4 5.64290- 4 2.70000+ 1 4.10000+ 1 8.32938- 6 6.10850- 4 2.70000+ 1 4.30000+ 1 2.49881- 5 6.27880- 4 2.70000+ 1 4.40000+ 1 5.16119- 4 6.36390- 4 2.70000+ 1 4.60000+ 1 6.24696- 6 6.55780- 4 2.70000+ 1 4.70000+ 1 8.62677- 6 6.56420- 4 2.70000+ 1 5.80000+ 1 1.18984- 6 6.55430- 4 2.90000+ 1 2.90000+ 1 2.97479- 7 4.81300- 4 2.90000+ 1 3.00000+ 1 5.54132- 3 5.29320- 4 2.90000+ 1 3.20000+ 1 2.46608- 4 6.14500- 4 2.90000+ 1 3.30000+ 1 7.10659- 4 6.21620- 4 2.90000+ 1 4.10000+ 1 4.16462- 5 6.68180- 4 2.90000+ 1 4.30000+ 1 3.27225- 6 6.85210- 4 2.90000+ 1 4.40000+ 1 5.97927- 4 6.93720- 4 2.90000+ 1 4.60000+ 1 2.97479- 6 7.13110- 4 2.90000+ 1 4.70000+ 1 7.43687- 6 7.13750- 4 2.90000+ 1 5.80000+ 1 4.75954- 6 7.12760- 4 3.00000+ 1 3.00000+ 1 7.17576- 3 5.77340- 4 3.00000+ 1 3.20000+ 1 8.29393- 3 6.62520- 4 3.00000+ 1 3.30000+ 1 1.10888- 2 6.69640- 4 3.00000+ 1 4.10000+ 1 1.02847- 3 7.16200- 4 3.00000+ 1 4.30000+ 1 9.54295- 4 7.33230- 4 3.00000+ 1 4.40000+ 1 1.94199- 3 7.41740- 4 3.00000+ 1 4.60000+ 1 1.25376- 4 7.61130- 4 3.00000+ 1 4.70000+ 1 1.55966- 4 7.61770- 4 3.00000+ 1 5.80000+ 1 1.18407- 4 7.60780- 4 3.20000+ 1 3.20000+ 1 1.56077- 4 7.47700- 4 3.20000+ 1 3.30000+ 1 9.33613- 4 7.54820- 4 3.20000+ 1 4.10000+ 1 6.21464- 5 8.01380- 4 3.20000+ 1 4.30000+ 1 3.85936- 5 8.18410- 4 3.20000+ 1 4.40000+ 1 8.47919- 4 8.26920- 4 3.20000+ 1 4.60000+ 1 4.25656- 6 8.46310- 4 3.20000+ 1 4.70000+ 1 1.07826- 5 8.46950- 4 3.20000+ 1 5.80000+ 1 6.81059- 6 8.45960- 4 3.30000+ 1 3.30000+ 1 8.48689- 4 7.61940- 4 3.30000+ 1 4.10000+ 1 1.37591- 4 8.08500- 4 3.30000+ 1 4.30000+ 1 1.07970- 4 8.25530- 4 3.30000+ 1 4.40000+ 1 1.09105- 3 8.34040- 4 3.30000+ 1 4.60000+ 1 1.21168- 5 8.53430- 4 3.30000+ 1 4.70000+ 1 2.12705- 5 8.54070- 4 3.30000+ 1 5.80000+ 1 1.56159- 5 8.53080- 4 4.10000+ 1 4.30000+ 1 3.19653- 6 8.72090- 4 4.10000+ 1 4.40000+ 1 9.48361- 5 8.80600- 4 4.10000+ 1 4.60000+ 1 7.99137- 7 8.99990- 4 4.10000+ 1 4.70000+ 1 1.59817- 6 9.00630- 4 4.30000+ 1 4.40000+ 1 9.19204- 5 8.97630- 4 4.30000+ 1 4.60000+ 1 5.43886- 7 9.17020- 4 4.30000+ 1 4.70000+ 1 1.08774- 6 9.17660- 4 4.30000+ 1 5.80000+ 1 2.71953- 7 9.16670- 4 4.40000+ 1 4.40000+ 1 9.56728- 5 9.06140- 4 4.40000+ 1 4.60000+ 1 1.04751- 5 9.25530- 4 4.40000+ 1 4.70000+ 1 1.32683- 5 9.26170- 4 4.40000+ 1 5.80000+ 1 9.54372- 6 9.25180- 4 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.37661- 4 3.56260- 4 2.90000+ 1 1.31650- 4 4.77380- 4 3.00000+ 1 1.53810- 5 5.25400- 4 4.30000+ 1 2.26450- 5 6.81290- 4 4.40000+ 1 2.53780- 6 6.89800- 4 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 4.30000+ 1 1.12116- 3 4.65000- 6 2.20000+ 1 4.40000+ 1 2.75499- 3 1.31600- 5 2.20000+ 1 4.60000+ 1 1.06668- 3 3.25500- 5 2.20000+ 1 4.70000+ 1 2.01202- 4 3.31900- 5 2.20000+ 1 5.80000+ 1 2.38981- 4 3.22000- 5 2.40000+ 1 2.40000+ 1 1.92159- 2 0.00000+ 0 2.40000+ 1 2.50000+ 1 4.26744- 2 7.57000- 6 2.40000+ 1 2.70000+ 1 1.14419- 1 6.15000- 5 2.40000+ 1 2.90000+ 1 1.00340- 1 1.18830- 4 2.40000+ 1 3.00000+ 1 1.24641- 1 1.66850- 4 2.40000+ 1 3.20000+ 1 1.24982- 1 2.52030- 4 2.40000+ 1 3.30000+ 1 1.31261- 1 2.59150- 4 2.40000+ 1 4.10000+ 1 2.29789- 2 3.05710- 4 2.40000+ 1 4.30000+ 1 1.69200- 2 3.22740- 4 2.40000+ 1 4.40000+ 1 1.94252- 2 3.31250- 4 2.40000+ 1 4.60000+ 1 1.60208- 3 3.50640- 4 2.40000+ 1 4.70000+ 1 1.74617- 3 3.51280- 4 2.40000+ 1 5.80000+ 1 2.63543- 3 3.50290- 4 2.50000+ 1 2.50000+ 1 2.46541- 3 1.74300- 5 2.50000+ 1 2.70000+ 1 8.95776- 3 7.13600- 5 2.50000+ 1 2.90000+ 1 1.72504- 2 1.28690- 4 2.50000+ 1 3.00000+ 1 8.06310- 3 1.76710- 4 2.50000+ 1 3.20000+ 1 1.34735- 1 2.61890- 4 2.50000+ 1 3.30000+ 1 5.70783- 3 2.69010- 4 2.50000+ 1 4.10000+ 1 1.28587- 3 3.15570- 4 2.50000+ 1 4.30000+ 1 1.84290- 3 3.32600- 4 2.50000+ 1 4.40000+ 1 9.84472- 4 3.41110- 4 2.50000+ 1 4.60000+ 1 1.54411- 3 3.60500- 4 2.50000+ 1 4.70000+ 1 7.16053- 5 3.61140- 4 2.50000+ 1 5.80000+ 1 1.41895- 4 3.60150- 4 2.70000+ 1 2.70000+ 1 8.82561- 4 1.25290- 4 2.70000+ 1 2.90000+ 1 2.12067- 3 1.82620- 4 2.70000+ 1 3.00000+ 1 1.69971- 3 2.30640- 4 2.70000+ 1 3.20000+ 1 1.20918- 2 3.15820- 4 2.70000+ 1 3.30000+ 1 2.31743- 3 3.22940- 4 2.70000+ 1 4.10000+ 1 2.05148- 4 3.69500- 4 2.70000+ 1 4.30000+ 1 2.39853- 4 3.86530- 4 2.70000+ 1 4.40000+ 1 2.09103- 4 3.95040- 4 2.70000+ 1 4.60000+ 1 1.33113- 4 4.14430- 4 2.70000+ 1 4.70000+ 1 2.32844- 5 4.15070- 4 2.70000+ 1 5.80000+ 1 2.24033- 5 4.14080- 4 2.90000+ 1 2.90000+ 1 4.17333- 4 2.39950- 4 2.90000+ 1 3.00000+ 1 2.19606- 3 2.87970- 4 2.90000+ 1 3.20000+ 1 8.10073- 3 3.73150- 4 2.90000+ 1 3.30000+ 1 9.90627- 4 3.80270- 4 2.90000+ 1 4.10000+ 1 1.49805- 4 4.26830- 4 2.90000+ 1 4.30000+ 1 9.70861- 5 4.43860- 4 2.90000+ 1 4.40000+ 1 1.99448- 4 4.52370- 4 2.90000+ 1 4.60000+ 1 9.13737- 5 4.71760- 4 2.90000+ 1 4.70000+ 1 1.31791- 5 4.72400- 4 2.90000+ 1 5.80000+ 1 1.53759- 5 4.71410- 4 3.00000+ 1 3.00000+ 1 7.60528- 4 3.35990- 4 3.00000+ 1 3.20000+ 1 1.56164- 2 4.21170- 4 3.00000+ 1 3.30000+ 1 1.34653- 3 4.28290- 4 3.00000+ 1 4.10000+ 1 7.77485- 5 4.74850- 4 3.00000+ 1 4.30000+ 1 1.68315- 4 4.91880- 4 3.00000+ 1 4.40000+ 1 1.43919- 4 5.00390- 4 3.00000+ 1 4.60000+ 1 1.77410- 4 5.19780- 4 3.00000+ 1 4.70000+ 1 1.53015- 5 5.20420- 4 3.00000+ 1 5.80000+ 1 7.85752- 6 5.19430- 4 3.20000+ 1 3.20000+ 1 1.02185- 2 5.06350- 4 3.20000+ 1 3.30000+ 1 2.00113- 2 5.13470- 4 3.20000+ 1 4.10000+ 1 1.86616- 3 5.60030- 4 3.20000+ 1 4.30000+ 1 1.39214- 3 5.77060- 4 3.20000+ 1 4.40000+ 1 2.56859- 3 5.85570- 4 3.20000+ 1 4.60000+ 1 2.70618- 4 6.04960- 4 3.20000+ 1 4.70000+ 1 2.78959- 4 6.05600- 4 3.20000+ 1 5.80000+ 1 2.11760- 4 6.04610- 4 3.30000+ 1 3.30000+ 1 2.79173- 4 5.20590- 4 3.30000+ 1 4.10000+ 1 6.11889- 5 5.67150- 4 3.30000+ 1 4.30000+ 1 6.46652- 5 5.84180- 4 3.30000+ 1 4.40000+ 1 1.18904- 4 5.92690- 4 3.30000+ 1 4.60000+ 1 1.80087- 4 6.12080- 4 3.30000+ 1 4.70000+ 1 6.60551- 6 6.12720- 4 3.30000+ 1 5.80000+ 1 6.25788- 6 6.11730- 4 4.10000+ 1 4.10000+ 1 3.23928- 6 6.13710- 4 4.10000+ 1 4.30000+ 1 6.47835- 6 6.30740- 4 4.10000+ 1 4.40000+ 1 4.85891- 6 6.39250- 4 4.10000+ 1 4.60000+ 1 1.08746- 5 6.58640- 4 4.10000+ 1 4.70000+ 1 4.62750- 7 6.59280- 4 4.10000+ 1 5.80000+ 1 6.94139- 7 6.58290- 4 4.30000+ 1 4.30000+ 1 8.32931- 7 6.47770- 4 4.30000+ 1 4.40000+ 1 7.49676- 6 6.56280- 4 4.30000+ 1 4.60000+ 1 7.28884- 6 6.75670- 4 4.30000+ 1 4.70000+ 1 6.24747- 7 6.76310- 4 4.30000+ 1 5.80000+ 1 6.24747- 7 6.75320- 4 4.40000+ 1 4.40000+ 1 1.35371- 6 6.64790- 4 4.40000+ 1 4.60000+ 1 5.66868- 6 6.84180- 4 4.40000+ 1 4.70000+ 1 3.38404- 7 6.84820- 4 4.40000+ 1 5.80000+ 1 1.69212- 7 6.83830- 4 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.70700- 5 3.18090- 4 2.50000+ 1 3.82550- 4 3.27950- 4 3.00000+ 1 1.13480- 4 4.87230- 4 4.40000+ 1 1.87320- 5 6.51630- 4 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.70000+ 1 1.29051- 2 2.33300- 5 2.40000+ 1 2.90000+ 1 8.55951- 3 8.06600- 5 2.40000+ 1 3.00000+ 1 1.60824- 2 1.28680- 4 2.40000+ 1 3.20000+ 1 7.50403- 3 2.13860- 4 2.40000+ 1 3.30000+ 1 1.09218- 1 2.20980- 4 2.40000+ 1 4.10000+ 1 2.14164- 3 2.67540- 4 2.40000+ 1 4.30000+ 1 1.37575- 3 2.84570- 4 2.40000+ 1 4.40000+ 1 2.07852- 3 2.93080- 4 2.40000+ 1 4.60000+ 1 1.04691- 4 3.12470- 4 2.40000+ 1 4.70000+ 1 1.19027- 3 3.13110- 4 2.40000+ 1 5.80000+ 1 2.40226- 4 3.12120- 4 2.50000+ 1 2.50000+ 1 1.49679- 2 0.00000+ 0 2.50000+ 1 2.70000+ 1 1.12498- 1 3.31900- 5 2.50000+ 1 2.90000+ 1 1.20720- 1 9.05200- 5 2.50000+ 1 3.00000+ 1 1.12111- 1 1.38540- 4 2.50000+ 1 3.20000+ 1 1.09581- 1 2.23720- 4 2.50000+ 1 3.30000+ 1 1.99853- 1 2.30840- 4 2.50000+ 1 4.10000+ 1 2.26889- 2 2.77400- 4 2.50000+ 1 4.30000+ 1 1.95480- 2 2.94430- 4 2.50000+ 1 4.40000+ 1 1.77241- 2 3.02940- 4 2.50000+ 1 4.60000+ 1 1.52110- 3 3.22330- 4 2.50000+ 1 4.70000+ 1 2.41349- 3 3.22970- 4 2.50000+ 1 5.80000+ 1 2.58357- 3 3.21980- 4 2.70000+ 1 2.70000+ 1 1.58364- 3 8.71200- 5 2.70000+ 1 2.90000+ 1 2.21280- 3 1.44450- 4 2.70000+ 1 3.00000+ 1 3.57378- 3 1.92470- 4 2.70000+ 1 3.20000+ 1 3.19968- 3 2.77650- 4 2.70000+ 1 3.30000+ 1 1.49638- 2 2.84770- 4 2.70000+ 1 4.10000+ 1 3.57196- 4 3.31330- 4 2.70000+ 1 4.30000+ 1 2.56968- 4 3.48360- 4 2.70000+ 1 4.40000+ 1 4.36025- 4 3.56870- 4 2.70000+ 1 4.60000+ 1 3.32587- 5 3.76260- 4 2.70000+ 1 4.70000+ 1 1.53092- 4 3.76900- 4 2.70000+ 1 5.80000+ 1 3.87258- 5 3.75910- 4 2.90000+ 1 2.90000+ 1 2.79129- 4 2.01780- 4 2.90000+ 1 3.00000+ 1 3.80856- 3 2.49800- 4 2.90000+ 1 3.20000+ 1 5.28742- 4 3.34980- 4 2.90000+ 1 3.30000+ 1 1.20481- 2 3.42100- 4 2.90000+ 1 4.10000+ 1 1.48516- 4 3.88660- 4 2.90000+ 1 4.30000+ 1 6.39678- 5 4.05690- 4 2.90000+ 1 4.40000+ 1 3.60548- 4 4.14200- 4 2.90000+ 1 4.60000+ 1 4.92074- 6 4.33590- 4 2.90000+ 1 4.70000+ 1 1.29280- 4 4.34230- 4 2.90000+ 1 5.80000+ 1 1.52097- 5 4.33240- 4 3.00000+ 1 3.00000+ 1 1.18226- 3 2.97820- 4 3.00000+ 1 3.20000+ 1 1.94791- 3 3.83000- 4 3.00000+ 1 3.30000+ 1 1.51305- 2 3.90120- 4 3.00000+ 1 4.10000+ 1 1.20721- 4 4.36680- 4 3.00000+ 1 4.30000+ 1 1.86609- 4 4.53710- 4 3.00000+ 1 4.40000+ 1 2.26583- 4 4.62220- 4 3.00000+ 1 4.60000+ 1 2.50810- 5 4.81610- 4 3.00000+ 1 4.70000+ 1 1.60255- 4 4.82250- 4 3.00000+ 1 5.80000+ 1 1.10531- 5 4.81260- 4 3.20000+ 1 3.20000+ 1 1.37938- 4 4.68180- 4 3.20000+ 1 3.30000+ 1 1.45133- 2 4.75300- 4 3.20000+ 1 4.10000+ 1 7.96115- 5 5.21860- 4 3.20000+ 1 4.30000+ 1 4.98115- 5 5.38890- 4 3.20000+ 1 4.40000+ 1 2.14146- 4 5.47400- 4 3.20000+ 1 4.60000+ 1 3.40592- 6 5.66790- 4 3.20000+ 1 4.70000+ 1 1.54116- 4 5.67430- 4 3.20000+ 1 5.80000+ 1 7.66315- 6 5.66440- 4 3.30000+ 1 3.30000+ 1 1.64389- 2 4.82420- 4 3.30000+ 1 4.10000+ 1 1.92372- 3 5.28980- 4 3.30000+ 1 4.30000+ 1 1.79204- 3 5.46010- 4 3.30000+ 1 4.40000+ 1 2.43619- 3 5.54520- 4 3.30000+ 1 4.60000+ 1 2.19633- 4 5.73910- 4 3.30000+ 1 4.70000+ 1 4.04592- 4 5.74550- 4 3.30000+ 1 5.80000+ 1 2.17894- 4 5.73560- 4 4.10000+ 1 4.10000+ 1 7.11048- 6 5.75540- 4 4.10000+ 1 4.30000+ 1 9.10127- 6 5.92570- 4 4.10000+ 1 4.40000+ 1 1.08076- 5 6.01080- 4 4.10000+ 1 4.60000+ 1 5.68807- 7 6.20470- 4 4.10000+ 1 4.70000+ 1 1.30828- 5 6.21110- 4 4.10000+ 1 5.80000+ 1 1.42197- 6 6.20120- 4 4.30000+ 1 4.30000+ 1 1.20540- 6 6.09600- 4 4.30000+ 1 4.40000+ 1 1.08491- 5 6.18110- 4 4.30000+ 1 4.60000+ 1 2.41091- 7 6.37500- 4 4.30000+ 1 4.70000+ 1 1.06081- 5 6.38140- 4 4.30000+ 1 5.80000+ 1 7.23245- 7 6.37150- 4 4.40000+ 1 4.40000+ 1 3.85880- 6 6.26620- 4 4.40000+ 1 4.60000+ 1 9.64646- 7 6.46010- 4 4.40000+ 1 4.70000+ 1 8.26813- 6 6.46650- 4 4.40000+ 1 5.80000+ 1 4.13410- 7 6.45660- 4 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 5.05275- 5 2.54320- 4 3.30000+ 1 3.26899- 6 2.61440- 4 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 4.60000+ 1 6.16449- 3 4.24000- 6 2.50000+ 1 4.70000+ 1 6.51178- 3 4.88000- 6 2.50000+ 1 5.80000+ 1 4.01571- 3 3.89000- 6 2.70000+ 1 4.10000+ 1 9.94899- 3 1.32400- 5 2.70000+ 1 4.30000+ 1 9.45947- 3 3.02700- 5 2.70000+ 1 4.40000+ 1 1.94351- 2 3.87800- 5 2.70000+ 1 4.60000+ 1 6.44377- 4 5.81700- 5 2.70000+ 1 4.70000+ 1 1.15990- 3 5.88100- 5 2.70000+ 1 5.80000+ 1 1.13413- 3 5.78200- 5 2.90000+ 1 3.20000+ 1 6.33532- 2 1.68900- 5 2.90000+ 1 3.30000+ 1 6.57506- 2 2.40100- 5 2.90000+ 1 4.10000+ 1 3.89642- 2 7.05700- 5 2.90000+ 1 4.30000+ 1 2.02533- 2 8.76000- 5 2.90000+ 1 4.40000+ 1 3.72957- 2 9.61100- 5 2.90000+ 1 4.60000+ 1 3.33716- 3 1.15500- 4 2.90000+ 1 4.70000+ 1 4.02952- 3 1.16140- 4 2.90000+ 1 5.80000+ 1 4.13606- 3 1.15150- 4 3.00000+ 1 3.20000+ 1 1.63611- 1 6.49100- 5 3.00000+ 1 3.30000+ 1 1.27949- 1 7.20300- 5 3.00000+ 1 4.10000+ 1 1.68297- 2 1.18590- 4 3.00000+ 1 4.30000+ 1 1.29836- 2 1.35620- 4 3.00000+ 1 4.40000+ 1 9.05714- 3 1.44130- 4 3.00000+ 1 4.60000+ 1 2.16670- 3 1.63520- 4 3.00000+ 1 4.70000+ 1 1.66176- 3 1.64160- 4 3.00000+ 1 5.80000+ 1 1.58014- 3 1.63170- 4 3.20000+ 1 3.20000+ 1 7.89264- 2 1.50090- 4 3.20000+ 1 3.30000+ 1 1.22049- 1 1.57210- 4 3.20000+ 1 4.10000+ 1 8.48566- 3 2.03770- 4 3.20000+ 1 4.30000+ 1 3.26449- 2 2.20800- 4 3.20000+ 1 4.40000+ 1 2.31121- 2 2.29310- 4 3.20000+ 1 4.60000+ 1 1.40239- 3 2.48700- 4 3.20000+ 1 4.70000+ 1 1.40239- 3 2.49340- 4 3.20000+ 1 5.80000+ 1 1.04734- 3 2.48350- 4 3.30000+ 1 3.30000+ 1 2.94789- 2 1.64330- 4 3.30000+ 1 4.10000+ 1 6.55093- 3 2.10890- 4 3.30000+ 1 4.30000+ 1 3.80165- 2 2.27920- 4 3.30000+ 1 4.40000+ 1 1.76387- 2 2.36430- 4 3.30000+ 1 4.60000+ 1 1.15448- 3 2.55820- 4 3.30000+ 1 4.70000+ 1 6.17494- 4 2.56460- 4 3.30000+ 1 5.80000+ 1 7.24888- 4 2.55470- 4 4.10000+ 1 4.10000+ 1 1.09312- 4 2.57450- 4 4.10000+ 1 4.30000+ 1 1.45237- 3 2.74480- 4 4.10000+ 1 4.40000+ 1 1.10871- 3 2.82990- 4 4.10000+ 1 4.60000+ 1 4.68483- 5 3.02380- 4 4.10000+ 1 4.70000+ 1 3.12324- 5 3.03020- 4 4.10000+ 1 5.80000+ 1 3.12324- 5 3.02030- 4 4.30000+ 1 4.30000+ 1 4.88994- 4 2.91510- 4 4.30000+ 1 4.40000+ 1 9.49199- 4 3.00020- 4 4.30000+ 1 4.60000+ 1 2.30115- 4 3.19410- 4 4.30000+ 1 4.70000+ 1 1.86963- 4 3.20050- 4 4.30000+ 1 5.80000+ 1 1.43827- 4 3.19060- 4 4.40000+ 1 4.40000+ 1 1.82387- 4 3.08530- 4 4.40000+ 1 4.60000+ 1 1.30282- 4 3.27920- 4 4.40000+ 1 4.70000+ 1 7.81684- 5 3.28560- 4 4.40000+ 1 5.80000+ 1 9.11929- 5 3.27570- 4 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 4.93386- 5 2.51580- 4 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 4.30000+ 1 1.35937- 2 2.04100- 5 2.70000+ 1 4.40000+ 1 2.37687- 2 2.89200- 5 2.70000+ 1 4.60000+ 1 1.66930- 3 4.83100- 5 2.70000+ 1 4.70000+ 1 1.78864- 3 4.89500- 5 2.70000+ 1 5.80000+ 1 2.30530- 3 4.79600- 5 2.90000+ 1 3.20000+ 1 1.58848- 2 7.03000- 6 2.90000+ 1 3.30000+ 1 3.73108- 2 1.41500- 5 2.90000+ 1 4.10000+ 1 6.17669- 3 6.07100- 5 2.90000+ 1 4.30000+ 1 1.60687- 3 7.77400- 5 2.90000+ 1 4.40000+ 1 5.54043- 3 8.62500- 5 2.90000+ 1 4.60000+ 1 5.35621- 4 1.05640- 4 2.90000+ 1 4.70000+ 1 6.19327- 4 1.06280- 4 2.90000+ 1 5.80000+ 1 8.36903- 4 1.05290- 4 3.00000+ 1 3.20000+ 1 1.54242- 1 5.50500- 5 3.00000+ 1 3.30000+ 1 3.76906- 1 6.21700- 5 3.00000+ 1 4.10000+ 1 2.68882- 2 1.08730- 4 3.00000+ 1 4.30000+ 1 9.61235- 3 1.25760- 4 3.00000+ 1 4.40000+ 1 3.02649- 2 1.34270- 4 3.00000+ 1 4.60000+ 1 2.62762- 3 1.53660- 4 3.00000+ 1 4.70000+ 1 5.29607- 3 1.54300- 4 3.00000+ 1 5.80000+ 1 2.77736- 3 1.53310- 4 3.20000+ 1 3.20000+ 1 8.55842- 3 1.40230- 4 3.20000+ 1 3.30000+ 1 9.08919- 2 1.47350- 4 3.20000+ 1 4.10000+ 1 3.12771- 3 1.93910- 4 3.20000+ 1 4.30000+ 1 3.14323- 3 2.10940- 4 3.20000+ 1 4.40000+ 1 1.85173- 2 2.19450- 4 3.20000+ 1 4.60000+ 1 1.71173- 4 2.38840- 4 3.20000+ 1 4.70000+ 1 6.22406- 4 2.39480- 4 3.20000+ 1 5.80000+ 1 3.26761- 4 2.38490- 4 3.30000+ 1 3.30000+ 1 8.55744- 2 1.54470- 4 3.30000+ 1 4.10000+ 1 8.75384- 3 2.01030- 4 3.30000+ 1 4.30000+ 1 9.51526- 3 2.18060- 4 3.30000+ 1 4.40000+ 1 4.32422- 2 2.26570- 4 3.30000+ 1 4.60000+ 1 1.25761- 3 2.45960- 4 3.30000+ 1 4.70000+ 1 1.47276- 3 2.46600- 4 3.30000+ 1 5.80000+ 1 1.04257- 3 2.45610- 4 4.10000+ 1 4.10000+ 1 7.39970- 5 2.47590- 4 4.10000+ 1 4.30000+ 1 4.80984- 4 2.64620- 4 4.10000+ 1 4.40000+ 1 1.34430- 3 2.73130- 4 4.10000+ 1 4.60000+ 1 2.46660- 5 2.92520- 4 4.10000+ 1 4.70000+ 1 3.69994- 5 2.93160- 4 4.10000+ 1 5.80000+ 1 1.23334- 5 2.92170- 4 4.30000+ 1 4.30000+ 1 4.53849- 5 2.81650- 4 4.30000+ 1 4.40000+ 1 3.97131- 4 2.90160- 4 4.30000+ 1 4.60000+ 1 3.40397- 5 3.09550- 4 4.30000+ 1 4.70000+ 1 4.53849- 5 3.10190- 4 4.30000+ 1 5.80000+ 1 4.53849- 5 3.09200- 4 4.40000+ 1 4.40000+ 1 5.18353- 4 2.98670- 4 4.40000+ 1 4.60000+ 1 1.05592- 4 3.18060- 4 4.40000+ 1 4.70000+ 1 2.11184- 4 3.18700- 4 4.40000+ 1 5.80000+ 1 1.05592- 4 3.17710- 4 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.40195- 6 5.73300- 5 3.00000+ 1 1.79074- 5 1.05350- 4 4.30000+ 1 2.39704- 6 2.61240- 4 4.40000+ 1 4.00180- 8 2.69750- 4 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 4.10000+ 1 3.65616- 2 6.78000- 6 2.90000+ 1 4.30000+ 1 2.44079- 2 2.38100- 5 2.90000+ 1 4.40000+ 1 4.90808- 2 3.23200- 5 2.90000+ 1 4.60000+ 1 2.48877- 3 5.17100- 5 2.90000+ 1 4.70000+ 1 5.49459- 3 5.23500- 5 2.90000+ 1 5.80000+ 1 4.11555- 3 5.13600- 5 3.00000+ 1 3.20000+ 1 2.89634- 1 1.12000- 6 3.00000+ 1 3.30000+ 1 2.88712- 1 8.24000- 6 3.00000+ 1 4.10000+ 1 3.05178- 2 5.48000- 5 3.00000+ 1 4.30000+ 1 3.04133- 2 7.18300- 5 3.00000+ 1 4.40000+ 1 2.98327- 2 8.03400- 5 3.00000+ 1 4.60000+ 1 3.76556- 3 9.97300- 5 3.00000+ 1 4.70000+ 1 3.67187- 3 1.00370- 4 3.00000+ 1 5.80000+ 1 3.46811- 3 9.93800- 5 3.20000+ 1 3.20000+ 1 1.90701- 3 8.63000- 5 3.20000+ 1 3.30000+ 1 1.28770- 1 9.34200- 5 3.20000+ 1 4.10000+ 1 7.69212- 3 1.39980- 4 3.20000+ 1 4.30000+ 1 1.36506- 3 1.57010- 4 3.20000+ 1 4.40000+ 1 6.93386- 3 1.65520- 4 3.20000+ 1 4.60000+ 1 7.73665- 5 1.84910- 4 3.20000+ 1 4.70000+ 1 8.00973- 4 1.85550- 4 3.20000+ 1 5.80000+ 1 6.92216- 4 1.84560- 4 3.30000+ 1 3.30000+ 1 2.71968- 2 1.00540- 4 3.30000+ 1 4.10000+ 1 8.96353- 3 1.47100- 4 3.30000+ 1 4.30000+ 1 4.03164- 3 1.64130- 4 3.30000+ 1 4.40000+ 1 3.76143- 3 1.72640- 4 3.30000+ 1 4.60000+ 1 6.46265- 4 1.92030- 4 3.30000+ 1 4.70000+ 1 3.69077- 4 1.92670- 4 3.30000+ 1 5.80000+ 1 8.04913- 4 1.91680- 4 4.10000+ 1 4.10000+ 1 6.32287- 4 1.93660- 4 4.10000+ 1 4.30000+ 1 7.54236- 4 2.10690- 4 4.10000+ 1 4.40000+ 1 1.15764- 3 2.19200- 4 4.10000+ 1 4.60000+ 1 9.40637- 5 2.38590- 4 4.10000+ 1 4.70000+ 1 1.23655- 4 2.39230- 4 4.10000+ 1 5.80000+ 1 1.23896- 4 2.38240- 4 4.30000+ 1 4.30000+ 1 6.73671- 5 2.27720- 4 4.30000+ 1 4.40000+ 1 4.10403- 4 2.36230- 4 4.30000+ 1 4.60000+ 1 9.64098- 6 2.55620- 4 4.30000+ 1 4.70000+ 1 2.92807- 5 2.56260- 4 4.30000+ 1 5.80000+ 1 5.96339- 5 2.55270- 4 4.40000+ 1 4.40000+ 1 1.81498- 4 2.44740- 4 4.40000+ 1 4.60000+ 1 4.18773- 5 2.64130- 4 4.40000+ 1 4.70000+ 1 2.99878- 5 2.64770- 4 4.40000+ 1 5.80000+ 1 8.55447- 5 2.63780- 4 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 2.83871- 5 1.33200- 4 4.10000+ 1 3.27803- 6 1.86880- 4 5.80000+ 1 4.31745- 7 2.31460- 4 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 4.10000+ 1 1.08469- 2 0.00000+ 0 3.00000+ 1 4.30000+ 1 1.63688- 2 1.45000- 5 3.00000+ 1 4.40000+ 1 1.32332- 2 2.30100- 5 3.00000+ 1 4.60000+ 1 1.97806- 3 4.24000- 5 3.00000+ 1 4.70000+ 1 2.32472- 3 4.30400- 5 3.00000+ 1 5.80000+ 1 2.15140- 3 4.20500- 5 3.20000+ 1 3.20000+ 1 1.36843- 1 2.89700- 5 3.20000+ 1 3.30000+ 1 5.89392- 1 3.60900- 5 3.20000+ 1 4.10000+ 1 4.84411- 2 8.26500- 5 3.20000+ 1 4.30000+ 1 3.27991- 2 9.96800- 5 3.20000+ 1 4.40000+ 1 5.51951- 2 1.08190- 4 3.20000+ 1 4.60000+ 1 2.93848- 3 1.27580- 4 3.20000+ 1 4.70000+ 1 6.53408- 3 1.28220- 4 3.20000+ 1 5.80000+ 1 5.59713- 3 1.27230- 4 3.30000+ 1 3.30000+ 1 2.57808- 2 4.32100- 5 3.30000+ 1 4.10000+ 1 4.76224- 3 8.97700- 5 3.30000+ 1 4.30000+ 1 2.83255- 2 1.06800- 4 3.30000+ 1 4.40000+ 1 6.67212- 3 1.15310- 4 3.30000+ 1 4.60000+ 1 1.75164- 3 1.34700- 4 3.30000+ 1 4.70000+ 1 4.80589- 4 1.35340- 4 3.30000+ 1 5.80000+ 1 4.43077- 4 1.34350- 4 4.10000+ 1 4.10000+ 1 9.39533- 5 1.36330- 4 4.10000+ 1 4.30000+ 1 2.16265- 3 1.53360- 4 4.10000+ 1 4.40000+ 1 3.63846- 4 1.61870- 4 4.10000+ 1 4.60000+ 1 1.19329- 4 1.81260- 4 4.10000+ 1 4.70000+ 1 3.87545- 5 1.81900- 4 4.10000+ 1 5.80000+ 1 1.75650- 5 1.80910- 4 4.30000+ 1 4.30000+ 1 1.04073- 3 1.70390- 4 4.30000+ 1 4.40000+ 1 2.45705- 3 1.78900- 4 4.30000+ 1 4.60000+ 1 1.69001- 4 1.98290- 4 4.30000+ 1 4.70000+ 1 2.66068- 4 1.98930- 4 4.30000+ 1 5.80000+ 1 2.07243- 4 1.97940- 4 4.40000+ 1 4.40000+ 1 7.18017- 5 1.87410- 4 4.40000+ 1 4.60000+ 1 7.27651- 5 2.06800- 4 4.40000+ 1 4.70000+ 1 1.37287- 5 2.07440- 4 4.40000+ 1 5.80000+ 1 1.49644- 5 2.06450- 4 1 90000 0 7 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.88323- 7 8.51800- 5 3.30000+ 1 4.48833- 6 9.23000- 5 4.10000+ 1 1.77081- 6 1.38860- 4 5.80000+ 1 2.17582- 7 1.83440- 4 1 90000 0 9 2.32038+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 4.10000+ 1 4.69395- 2 3.46300- 5 3.20000+ 1 4.30000+ 1 3.33259- 2 5.16600- 5 3.20000+ 1 4.40000+ 1 9.95140- 2 6.01700- 5 3.20000+ 1 4.60000+ 1 2.69815- 3 7.95600- 5 3.20000+ 1 4.70000+ 1 8.85714- 3 8.02000- 5 3.20000+ 1 5.80000+ 1 4.30680- 3 7.92100- 5 3.30000+ 1 3.30000+ 1 2.81643- 1 0.00000+ 0 3.30000+ 1 4.10000+ 1 1.46471- 1 4.17500- 5 3.30000+ 1 4.30000+ 1 1.48694- 1 5.87800- 5 3.30000+ 1 4.40000+ 1 1.71914- 1 6.72900- 5 3.30000+ 1 4.60000+ 1 1.73453- 2 8.66800- 5 3.30000+ 1 4.70000+ 1 1.67211- 2 8.73200- 5 3.30000+ 1 5.80000+ 1 1.68379- 2 8.63300- 5 4.10000+ 1 4.10000+ 1 1.57799- 4 8.83100- 5 4.10000+ 1 4.30000+ 1 2.85561- 4 1.05340- 4 4.10000+ 1 4.40000+ 1 1.38908- 3 1.13850- 4 4.10000+ 1 4.60000+ 1 5.15431- 5 1.33240- 4 4.10000+ 1 4.70000+ 1 8.56192- 5 1.33880- 4 4.10000+ 1 5.80000+ 1 2.93133- 5 1.32890- 4 4.30000+ 1 4.40000+ 1 1.14846- 3 1.30880- 4 4.30000+ 1 4.60000+ 1 1.31832- 5 1.50270- 4 4.30000+ 1 4.70000+ 1 5.25007- 5 1.50910- 4 4.30000+ 1 5.80000+ 1 1.51665- 5 1.49920- 4 4.40000+ 1 4.40000+ 1 1.11530- 3 1.39390- 4 4.40000+ 1 4.60000+ 1 1.13357- 4 1.58780- 4 4.40000+ 1 4.70000+ 1 1.47889- 4 1.59420- 4 4.40000+ 1 5.80000+ 1 1.20964- 4 1.58430- 4 1 91000 0 0 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 3.50000+ 1 8.60000- 1 3.60000+ 1 1.14000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 4.60000+ 1 4.00000- 1 4.70000+ 1 6.00000- 1 5.80000+ 1 2.00000+ 0 1 91000 0 0 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.13080- 1 3.00000+ 0 2.11130- 2 5.00000+ 0 2.04020- 2 6.00000+ 0 1.67430- 2 8.00000+ 0 5.33490- 3 1.00000+ 1 5.00180- 3 1.10000+ 1 4.15940- 3 1.30000+ 1 3.61610- 3 1.40000+ 1 3.44360- 3 1.60000+ 1 1.36210- 3 1.80000+ 1 1.21010- 3 1.90000+ 1 9.90570- 4 2.10000+ 1 7.43750- 4 2.20000+ 1 7.03210- 4 2.40000+ 1 3.77630- 4 2.50000+ 1 3.67040- 4 2.70000+ 1 3.05170- 4 2.90000+ 1 2.45890- 4 3.00000+ 1 1.94070- 4 3.20000+ 1 1.06080- 4 3.30000+ 1 9.84000- 5 3.50000+ 1 7.64000- 6 3.60000+ 1 6.80000- 6 4.10000+ 1 5.00100- 5 4.30000+ 1 3.26100- 5 4.40000+ 1 2.38200- 5 4.60000+ 1 4.71000- 6 4.70000+ 1 4.13000- 6 5.80000+ 1 5.67000- 6 1 91000 0 0 2.31000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.68910- 1 3.00000+ 0 4.20430- 2 5.00000+ 0 4.20650- 2 6.00000+ 0 2.70150- 2 8.00000+ 0 1.34750- 2 1.00000+ 1 1.33400- 2 1.10000+ 1 9.53350- 3 1.30000+ 1 9.36850- 3 1.40000+ 1 8.65000- 3 1.60000+ 1 4.63120- 3 1.80000+ 1 4.47650- 3 1.90000+ 1 3.30600- 3 2.10000+ 1 3.06430- 3 2.20000+ 1 2.84690- 3 2.40000+ 1 2.48480- 3 2.50000+ 1 2.41090- 3 2.70000+ 1 1.42900- 3 2.90000+ 1 1.30660- 3 3.00000+ 1 9.72100- 4 3.20000+ 1 7.65310- 4 3.30000+ 1 7.09070- 4 3.50000+ 1 3.17360- 4 3.60000+ 1 3.02170- 4 4.10000+ 1 3.44350- 4 4.30000+ 1 2.74440- 4 4.40000+ 1 1.93180- 4 4.60000+ 1 7.86600- 5 4.70000+ 1 6.81500- 5 5.80000+ 1 4.38500- 5 1 91000 0 0 2.31000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.33700-11 3.00000+ 0 3.03520-10 5.00000+ 0 2.45750-10 6.00000+ 0 2.99080-10 8.00000+ 0 7.88920-10 1.00000+ 1 7.40650-10 1.10000+ 1 8.36420-10 1.30000+ 1 7.20960-10 1.40000+ 1 7.49530-10 1.60000+ 1 1.71490- 9 1.80000+ 1 1.70450- 9 1.90000+ 1 1.89410- 9 2.10000+ 1 1.87630- 9 2.20000+ 1 1.93310- 9 2.40000+ 1 1.87560- 9 2.50000+ 1 1.90340- 9 2.70000+ 1 3.57890- 9 2.90000+ 1 3.72100- 9 3.00000+ 1 4.13190- 9 3.20000+ 1 4.63000- 9 3.30000+ 1 4.77290- 9 3.50000+ 1 7.47220- 9 3.60000+ 1 7.67300- 9 4.10000+ 1 7.84680- 9 4.30000+ 1 8.73880- 9 4.40000+ 1 9.92810- 9 4.60000+ 1 1.56700- 8 4.70000+ 1 1.67750- 8 5.80000+ 1 2.16360- 8 1 91000 0 0 2.31000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.76660- 5 3.00000+ 0 2.30900- 6 5.00000+ 0 4.05620- 6 6.00000+ 0 3.40320- 6 8.00000+ 0 1.03090- 7 1.00000+ 1 1.13360- 7 1.10000+ 1 1.26590- 7 1.30000+ 1 1.63910- 7 1.40000+ 1 1.51210- 7 1.60000+ 1 5.51030- 9 1.80000+ 1 7.05930- 9 1.90000+ 1 4.85180- 9 2.10000+ 1 3.32810- 9 2.20000+ 1 2.55650- 9 2.40000+ 1 1.11950-10 2.50000+ 1 1.01620-10 2.70000+ 1 3.73670-10 2.90000+ 1 7.53440-10 3.00000+ 1 3.68220-10 1 91000 0 0 2.31000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.75090- 6 3.00000+ 0 1.35130- 5 5.00000+ 0 5.19930- 6 6.00000+ 0 4.33060- 6 8.00000+ 0 1.86390- 5 1.00000+ 1 1.47510- 5 1.10000+ 1 1.14420- 5 1.30000+ 1 3.26290- 6 1.40000+ 1 3.23980- 6 1.60000+ 1 1.38940- 5 1.80000+ 1 1.52480- 5 1.90000+ 1 9.31090- 6 2.10000+ 1 6.20700- 6 2.20000+ 1 6.39080- 6 2.40000+ 1 2.93560- 7 2.50000+ 1 2.53000- 7 2.70000+ 1 2.17850- 5 2.90000+ 1 9.24010- 6 3.00000+ 1 6.67810- 6 1 91000 0 0 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.19365- 4 3.00000+ 0 1.16530- 3 5.00000+ 0 8.68119- 4 6.00000+ 0 8.09018- 4 8.00000+ 0 8.62559- 4 1.00000+ 1 7.68355- 4 1.10000+ 1 6.77602- 4 1.30000+ 1 5.18169- 4 1.40000+ 1 5.09925- 4 1.60000+ 1 4.53335- 4 1.80000+ 1 4.42113- 4 1.90000+ 1 4.12050- 4 2.10000+ 1 3.27634- 4 2.20000+ 1 3.23752- 4 2.40000+ 1 2.00236- 4 2.50000+ 1 2.03637- 4 2.70000+ 1 2.15623- 4 2.90000+ 1 1.82241- 4 3.00000+ 1 1.41369- 4 3.20000+ 1 1.06080- 4 3.30000+ 1 9.84000- 5 3.50000+ 1 7.64000- 6 3.60000+ 1 6.80000- 6 4.10000+ 1 5.00100- 5 4.30000+ 1 3.26100- 5 4.40000+ 1 2.38200- 5 4.60000+ 1 4.71000- 6 4.70000+ 1 4.13000- 6 5.80000+ 1 5.67000- 6 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.42814+ 0 3.00000+ 0 5.67548- 1 5.00000+ 0 6.36596- 1 6.00000+ 0 5.15210- 1 8.00000+ 0 5.43176- 2 1.00000+ 1 5.50156- 2 1.10000+ 1 5.04161- 2 1.30000+ 1 5.83149- 2 1.40000+ 1 5.30150- 2 1.60000+ 1 1.80319- 3 1.80000+ 1 1.96398- 3 1.90000+ 1 1.23539- 3 2.10000+ 1 7.40477- 4 2.20000+ 1 6.40518- 4 2.40000+ 1 8.15396- 5 2.50000+ 1 7.04395- 5 2.70000+ 1 3.38891- 5 2.90000+ 1 3.87112- 5 3.00000+ 1 8.20082- 6 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.01053- 1 3.00000+ 0 7.34820- 3 5.00000+ 0 9.65022- 3 6.00000+ 0 6.37551- 3 8.00000+ 0 1.72185- 4 1.00000+ 1 1.75767- 4 1.10000+ 1 1.56195- 4 1.30000+ 1 1.84037- 4 1.40000+ 1 1.60170- 4 1.60000+ 1 1.16129- 6 1.80000+ 1 1.06609- 6 1.90000+ 1 6.60735- 7 2.10000+ 1 2.95411- 7 2.20000+ 1 2.40018- 7 2.40000+ 1 2.03125- 8 2.50000+ 1 1.75925- 8 2.70000+ 1 4.31411- 9 2.90000+ 1 5.67230- 9 3.00000+ 1 9.07649-10 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.70689+ 0 3.00000+ 0 1.42342+ 1 5.00000+ 0 1.03253+ 1 6.00000+ 0 9.57568+ 0 8.00000+ 0 1.03289+ 1 1.00000+ 1 9.05137+ 0 1.10000+ 1 7.90406+ 0 1.30000+ 1 5.77074+ 0 1.40000+ 1 5.67807+ 0 1.60000+ 1 4.82979+ 0 1.80000+ 1 4.68674+ 0 1.90000+ 1 4.31119+ 0 2.10000+ 1 3.23335+ 0 2.20000+ 1 3.16790+ 0 2.40000+ 1 1.72674+ 0 2.50000+ 1 1.75732+ 0 2.70000+ 1 1.80205+ 0 2.90000+ 1 1.05214+ 0 3.00000+ 1 9.99992- 1 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.12079- 2 3.00000+ 0 1.25995- 2 5.00000+ 0 9.88366- 3 6.00000+ 0 9.55847- 3 8.00000+ 0 4.30016- 3 1.00000+ 1 4.05768- 3 1.10000+ 1 3.32560- 3 1.30000+ 1 2.91389- 3 1.40000+ 1 2.77350- 3 1.60000+ 1 9.07604- 4 1.80000+ 1 7.66921- 4 1.90000+ 1 5.77860- 4 2.10000+ 1 4.15821- 4 2.20000+ 1 3.79218- 4 2.40000+ 1 1.77374- 4 2.50000+ 1 1.63386- 4 2.70000+ 1 8.95432- 5 2.90000+ 1 6.36432- 5 3.00000+ 1 5.27000- 5 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.88439- 1 9.26780- 2 6.00000+ 0 4.63919- 1 9.63370- 2 1.00000+ 1 5.33429- 2 1.08078- 1 1.10000+ 1 1.04180- 1 1.08921- 1 1.30000+ 1 1.82300- 3 1.09464- 1 1.40000+ 1 2.09300- 3 1.09636- 1 1.80000+ 1 1.32910- 2 1.11870- 1 1.90000+ 1 2.67829- 2 1.12089- 1 2.10000+ 1 5.31759- 4 1.12336- 1 2.20000+ 1 6.12069- 4 1.12377- 1 2.90000+ 1 3.23089- 3 1.12834- 1 3.00000+ 1 6.36819- 3 1.12886- 1 3.20000+ 1 1.06280- 4 1.12974- 1 3.30000+ 1 1.21450- 4 1.12982- 1 4.30000+ 1 5.70799- 4 1.13047- 1 4.40000+ 1 1.06770- 3 1.13056- 1 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.88689- 3 7.08540- 2 3.00000+ 0 5.00000+ 0 7.00520- 3 7.15650- 2 3.00000+ 0 6.00000+ 0 2.76693- 3 7.52240- 2 3.00000+ 0 8.00000+ 0 1.61182- 3 8.66321- 2 3.00000+ 0 1.00000+ 1 1.53999- 3 8.69652- 2 3.00000+ 0 1.10000+ 1 6.81546- 4 8.78076- 2 3.00000+ 0 1.30000+ 1 5.95797- 5 8.83509- 2 3.00000+ 0 1.40000+ 1 3.81284- 5 8.85234- 2 3.00000+ 0 1.60000+ 1 4.25161- 4 9.06049- 2 3.00000+ 0 1.80000+ 1 3.99586- 4 9.07569- 2 3.00000+ 0 1.90000+ 1 1.78482- 4 9.09764- 2 3.00000+ 0 2.10000+ 1 1.74074- 5 9.12232- 2 3.00000+ 0 2.20000+ 1 1.09745- 5 9.12638- 2 3.00000+ 0 2.40000+ 1 6.63112- 8 9.15894- 2 3.00000+ 0 2.50000+ 1 6.63112- 8 9.16000- 2 3.00000+ 0 2.70000+ 1 1.06863- 4 9.16618- 2 3.00000+ 0 2.90000+ 1 9.41627- 5 9.17211- 2 3.00000+ 0 3.00000+ 1 4.15773- 5 9.17729- 2 3.00000+ 0 3.20000+ 1 3.41496- 6 9.18609- 2 3.00000+ 0 3.30000+ 1 2.12199- 6 9.18686- 2 5.00000+ 0 5.00000+ 0 2.68042- 4 7.22760- 2 5.00000+ 0 6.00000+ 0 4.52085- 3 7.59350- 2 5.00000+ 0 8.00000+ 0 1.28451- 3 8.73431- 2 5.00000+ 0 1.00000+ 1 1.03914- 4 8.76762- 2 5.00000+ 0 1.10000+ 1 9.44669- 4 8.85186- 2 5.00000+ 0 1.30000+ 1 5.96833- 5 8.90619- 2 5.00000+ 0 1.40000+ 1 1.37310- 4 8.92344- 2 5.00000+ 0 1.60000+ 1 3.29486- 4 9.13159- 2 5.00000+ 0 1.80000+ 1 2.62279- 5 9.14679- 2 5.00000+ 0 1.90000+ 1 2.37541- 4 9.16874- 2 5.00000+ 0 2.10000+ 1 1.66456- 5 9.19342- 2 5.00000+ 0 2.20000+ 1 3.86290- 5 9.19748- 2 5.00000+ 0 2.40000+ 1 5.30531- 7 9.23004- 2 5.00000+ 0 2.50000+ 1 7.95774- 7 9.23110- 2 5.00000+ 0 2.70000+ 1 8.22318- 5 9.23728- 2 5.00000+ 0 2.90000+ 1 6.13417- 6 9.24321- 2 5.00000+ 0 3.00000+ 1 5.48095- 5 9.24839- 2 5.00000+ 0 3.20000+ 1 3.24935- 6 9.25719- 2 5.00000+ 0 3.30000+ 1 7.42705- 6 9.25796- 2 6.00000+ 0 6.00000+ 0 1.84416- 3 7.95940- 2 6.00000+ 0 8.00000+ 0 4.51048- 4 9.10021- 2 6.00000+ 0 1.00000+ 1 8.22118- 4 9.13352- 2 6.00000+ 0 1.10000+ 1 7.94736- 4 9.21776- 2 6.00000+ 0 1.30000+ 1 1.48417- 4 9.27209- 2 6.00000+ 0 1.40000+ 1 1.18202- 4 9.28934- 2 6.00000+ 0 1.60000+ 1 1.12439- 4 9.49749- 2 6.00000+ 0 1.80000+ 1 2.04041- 4 9.51269- 2 6.00000+ 0 1.90000+ 1 2.01595- 4 9.53464- 2 6.00000+ 0 2.10000+ 1 4.20106- 5 9.55932- 2 6.00000+ 0 2.20000+ 1 3.34223- 5 9.56338- 2 6.00000+ 0 2.40000+ 1 7.95772- 7 9.59594- 2 6.00000+ 0 2.50000+ 1 8.28917- 7 9.59700- 2 6.00000+ 0 2.70000+ 1 2.78520- 5 9.60318- 2 6.00000+ 0 2.90000+ 1 4.75786- 5 9.60911- 2 6.00000+ 0 3.00000+ 1 4.66200- 5 9.61429- 2 6.00000+ 0 3.20000+ 1 8.18967- 6 9.62309- 2 6.00000+ 0 3.30000+ 1 6.43255- 6 9.62386- 2 8.00000+ 0 8.00000+ 0 1.65354- 4 1.02410- 1 8.00000+ 0 1.00000+ 1 2.83931- 4 1.02743- 1 8.00000+ 0 1.10000+ 1 1.12374- 4 1.03586- 1 8.00000+ 0 1.30000+ 1 9.54928- 6 1.04129- 1 8.00000+ 0 1.40000+ 1 5.73638- 6 1.04302- 1 8.00000+ 0 1.60000+ 1 8.71057- 5 1.06383- 1 8.00000+ 0 1.80000+ 1 7.37746- 5 1.06535- 1 8.00000+ 0 1.90000+ 1 2.95105- 5 1.06755- 1 8.00000+ 0 2.10000+ 1 2.78521- 6 1.07001- 1 8.00000+ 0 2.20000+ 1 1.65784- 6 1.07042- 1 8.00000+ 0 2.70000+ 1 2.18841- 5 1.07440- 1 8.00000+ 0 2.90000+ 1 1.73740- 5 1.07499- 1 8.00000+ 0 3.00000+ 1 6.89682- 6 1.07551- 1 8.00000+ 0 3.20000+ 1 5.63677- 7 1.07639- 1 8.00000+ 0 3.30000+ 1 3.31579- 7 1.07647- 1 1.00000+ 1 1.00000+ 1 9.61549- 6 1.03076- 1 1.00000+ 1 1.10000+ 1 1.77525- 4 1.03919- 1 1.00000+ 1 1.30000+ 1 9.98010- 6 1.04462- 1 1.00000+ 1 1.40000+ 1 1.86010- 5 1.04635- 1 1.00000+ 1 1.60000+ 1 7.28450- 5 1.06716- 1 1.00000+ 1 1.80000+ 1 4.80767- 6 1.06868- 1 1.00000+ 1 1.90000+ 1 4.49595- 5 1.07088- 1 1.00000+ 1 2.10000+ 1 2.81830- 6 1.07334- 1 1.00000+ 1 2.20000+ 1 5.30518- 6 1.07375- 1 1.00000+ 1 2.40000+ 1 6.63120- 8 1.07701- 1 1.00000+ 1 2.50000+ 1 9.94693- 8 1.07711- 1 1.00000+ 1 2.70000+ 1 1.81691- 5 1.07773- 1 1.00000+ 1 2.90000+ 1 1.12735- 6 1.07832- 1 1.00000+ 1 3.00000+ 1 1.03780- 5 1.07884- 1 1.00000+ 1 3.20000+ 1 5.63663- 7 1.07972- 1 1.00000+ 1 3.30000+ 1 1.02785- 6 1.07980- 1 1.10000+ 1 1.10000+ 1 8.67062- 5 1.04761- 1 1.10000+ 1 1.30000+ 1 2.60613- 5 1.05304- 1 1.10000+ 1 1.40000+ 1 1.99601- 5 1.05477- 1 1.10000+ 1 1.60000+ 1 2.80833- 5 1.07559- 1 1.10000+ 1 1.80000+ 1 4.43641- 5 1.07710- 1 1.10000+ 1 1.90000+ 1 4.41327- 5 1.07930- 1 1.10000+ 1 2.10000+ 1 7.46028- 6 1.08177- 1 1.10000+ 1 2.20000+ 1 5.70305- 6 1.08217- 1 1.10000+ 1 2.40000+ 1 9.94711- 8 1.08543- 1 1.10000+ 1 2.50000+ 1 1.32626- 7 1.08554- 1 1.10000+ 1 2.70000+ 1 6.96276- 6 1.08615- 1 1.10000+ 1 2.90000+ 1 1.03782- 5 1.08675- 1 1.10000+ 1 3.00000+ 1 1.02122- 5 1.08727- 1 1.10000+ 1 3.20000+ 1 1.45893- 6 1.08815- 1 1.10000+ 1 3.30000+ 1 1.09417- 6 1.08822- 1 1.30000+ 1 1.30000+ 1 6.63131- 8 1.05848- 1 1.30000+ 1 1.40000+ 1 2.81835- 6 1.06020- 1 1.30000+ 1 1.60000+ 1 2.38729- 6 1.08102- 1 1.30000+ 1 1.80000+ 1 2.45363- 6 1.08254- 1 1.30000+ 1 1.90000+ 1 6.29973- 6 1.08473- 1 1.30000+ 1 2.10000+ 1 3.31576- 8 1.08720- 1 1.30000+ 1 2.20000+ 1 7.62610- 7 1.08761- 1 1.30000+ 1 2.70000+ 1 5.96828- 7 1.09159- 1 1.30000+ 1 2.90000+ 1 5.63672- 7 1.09218- 1 1.30000+ 1 3.00000+ 1 1.42576- 6 1.09270- 1 1.30000+ 1 3.30000+ 1 1.32626- 7 1.09366- 1 1.40000+ 1 1.40000+ 1 6.63142- 7 1.06193- 1 1.40000+ 1 1.60000+ 1 1.42578- 6 1.08274- 1 1.40000+ 1 1.80000+ 1 4.31042- 6 1.08426- 1 1.40000+ 1 1.90000+ 1 4.77466- 6 1.08646- 1 1.40000+ 1 2.10000+ 1 7.62623- 7 1.08893- 1 1.40000+ 1 2.20000+ 1 3.64740- 7 1.08933- 1 1.40000+ 1 2.70000+ 1 3.64740- 7 1.09331- 1 1.40000+ 1 2.90000+ 1 9.94727- 7 1.09391- 1 1.40000+ 1 3.00000+ 1 1.09419- 6 1.09442- 1 1.40000+ 1 3.20000+ 1 1.32628- 7 1.09530- 1 1.40000+ 1 3.30000+ 1 6.63142- 8 1.09538- 1 1.60000+ 1 1.60000+ 1 1.14720- 5 1.10356- 1 1.60000+ 1 1.80000+ 1 1.89320- 5 1.10508- 1 1.60000+ 1 1.90000+ 1 7.39384- 6 1.10727- 1 1.60000+ 1 2.10000+ 1 6.96277- 7 1.10974- 1 1.60000+ 1 2.20000+ 1 3.97880- 7 1.11015- 1 1.60000+ 1 2.70000+ 1 5.76951- 6 1.11413- 1 1.60000+ 1 2.90000+ 1 4.47631- 6 1.11472- 1 1.60000+ 1 3.00000+ 1 1.72417- 6 1.11524- 1 1.60000+ 1 3.20000+ 1 1.32626- 7 1.11612- 1 1.60000+ 1 3.30000+ 1 6.63132- 8 1.11619- 1 1.80000+ 1 1.80000+ 1 5.96819- 7 1.10660- 1 1.80000+ 1 1.90000+ 1 1.12735- 5 1.10879- 1 1.80000+ 1 2.10000+ 1 6.96265- 7 1.11126- 1 1.80000+ 1 2.20000+ 1 1.22674- 6 1.11167- 1 1.80000+ 1 2.50000+ 1 3.31571- 8 1.11503- 1 1.80000+ 1 2.70000+ 1 4.70818- 6 1.11565- 1 1.80000+ 1 2.90000+ 1 2.65259- 7 1.11624- 1 1.80000+ 1 3.00000+ 1 2.61931- 6 1.11676- 1 1.80000+ 1 3.20000+ 1 1.32624- 7 1.11764- 1 1.80000+ 1 3.30000+ 1 2.32092- 7 1.11771- 1 1.90000+ 1 1.90000+ 1 5.60358- 6 1.11099- 1 1.90000+ 1 2.10000+ 1 1.79050- 6 1.11346- 1 1.90000+ 1 2.20000+ 1 1.35933- 6 1.11386- 1 1.90000+ 1 2.40000+ 1 3.31578- 8 1.11712- 1 1.90000+ 1 2.50000+ 1 3.31578- 8 1.11722- 1 1.90000+ 1 2.70000+ 1 1.82367- 6 1.11784- 1 1.90000+ 1 2.90000+ 1 2.61937- 6 1.11844- 1 1.90000+ 1 3.00000+ 1 2.58619- 6 1.11895- 1 1.90000+ 1 3.20000+ 1 3.64736- 7 1.11983- 1 1.90000+ 1 3.30000+ 1 2.65265- 7 1.11991- 1 2.10000+ 1 2.20000+ 1 2.07495- 7 1.11633- 1 2.10000+ 1 2.70000+ 1 1.72913- 7 1.12031- 1 2.10000+ 1 2.90000+ 1 1.72913- 7 1.12090- 1 2.10000+ 1 3.00000+ 1 4.14993- 7 1.12142- 1 2.10000+ 1 3.30000+ 1 3.45838- 8 1.12238- 1 2.20000+ 1 2.20000+ 1 6.63130- 8 1.11674- 1 2.20000+ 1 2.70000+ 1 9.94709- 8 1.12072- 1 2.20000+ 1 2.90000+ 1 2.98420- 7 1.12131- 1 2.20000+ 1 3.00000+ 1 2.98420- 7 1.12183- 1 2.20000+ 1 3.20000+ 1 3.31576- 8 1.12271- 1 2.20000+ 1 3.30000+ 1 3.31576- 8 1.12278- 1 2.70000+ 1 2.70000+ 1 7.08863- 7 1.12470- 1 2.70000+ 1 2.90000+ 1 1.09553- 6 1.12529- 1 2.70000+ 1 3.00000+ 1 4.18862- 7 1.12581- 1 2.70000+ 1 3.20000+ 1 3.22212- 8 1.12669- 1 2.70000+ 1 3.30000+ 1 3.22212- 8 1.12676- 1 2.90000+ 1 2.90000+ 1 3.30586- 8 1.12588- 1 2.90000+ 1 3.00000+ 1 5.95046- 7 1.12640- 1 2.90000+ 1 3.20000+ 1 3.30586- 8 1.12728- 1 2.90000+ 1 3.30000+ 1 6.61151- 8 1.12736- 1 3.00000+ 1 3.00000+ 1 3.04847- 7 1.12692- 1 3.00000+ 1 3.20000+ 1 6.77412- 8 1.12780- 1 3.00000+ 1 3.30000+ 1 6.77412- 8 1.12788- 1 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.25020- 5 7.11000- 4 6.00000+ 0 7.49180- 3 4.37000- 3 1.00000+ 1 5.03970- 2 1.61112- 2 1.10000+ 1 4.49910- 2 1.69536- 2 1.30000+ 1 2.27610- 3 1.74969- 2 1.40000+ 1 3.39420- 3 1.76694- 2 1.80000+ 1 1.35680- 2 1.99029- 2 1.90000+ 1 1.37900- 2 2.01224- 2 2.10000+ 1 3.83620- 4 2.03692- 2 2.20000+ 1 6.14620- 4 2.04098- 2 2.90000+ 1 3.24090- 3 2.08671- 2 3.00000+ 1 3.33640- 3 2.09189- 2 3.20000+ 1 6.77330- 5 2.10069- 2 3.30000+ 1 1.09630- 4 2.10146- 2 4.30000+ 1 5.92950- 4 2.10804- 2 4.40000+ 1 5.84050- 4 2.10892- 2 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.10000+ 1 4.12984- 3 0.00000+ 0 5.00000+ 0 2.20000+ 1 5.55674- 3 7.79000- 6 5.00000+ 0 2.40000+ 1 1.28460- 2 3.33370- 4 5.00000+ 0 2.50000+ 1 1.70002- 2 3.43960- 4 5.00000+ 0 2.70000+ 1 5.01646- 3 4.05830- 4 5.00000+ 0 2.90000+ 1 4.01982- 3 4.65110- 4 5.00000+ 0 3.00000+ 1 3.26197- 3 5.16930- 4 5.00000+ 0 3.20000+ 1 8.57095- 4 6.04920- 4 5.00000+ 0 3.30000+ 1 1.09596- 3 6.12600- 4 6.00000+ 0 1.10000+ 1 3.66346- 2 2.10600- 4 6.00000+ 0 1.30000+ 1 2.06737- 1 7.53900- 4 6.00000+ 0 1.40000+ 1 2.51272- 1 9.26400- 4 6.00000+ 0 1.60000+ 1 1.68269- 2 3.00790- 3 6.00000+ 0 1.80000+ 1 6.54885- 3 3.15990- 3 6.00000+ 0 1.90000+ 1 9.25247- 3 3.37943- 3 6.00000+ 0 2.10000+ 1 3.17214- 2 3.62625- 3 6.00000+ 0 2.20000+ 1 3.66526- 2 3.66679- 3 6.00000+ 0 2.40000+ 1 1.95884- 2 3.99237- 3 6.00000+ 0 2.50000+ 1 2.40089- 2 4.00296- 3 6.00000+ 0 2.70000+ 1 3.99547- 3 4.06483- 3 6.00000+ 0 2.90000+ 1 1.52160- 3 4.12411- 3 6.00000+ 0 3.00000+ 1 2.14006- 3 4.17593- 3 6.00000+ 0 3.20000+ 1 5.61149- 3 4.26392- 3 6.00000+ 0 3.30000+ 1 6.35771- 3 4.27160- 3 8.00000+ 0 8.00000+ 0 5.37354- 3 1.04432- 2 8.00000+ 0 1.00000+ 1 1.12481- 2 1.07763- 2 8.00000+ 0 1.10000+ 1 1.60101- 2 1.16187- 2 8.00000+ 0 1.30000+ 1 1.13452- 2 1.21620- 2 8.00000+ 0 1.40000+ 1 1.37842- 2 1.23345- 2 8.00000+ 0 1.60000+ 1 2.41093- 3 1.44160- 2 8.00000+ 0 1.80000+ 1 2.88752- 3 1.45680- 2 8.00000+ 0 1.90000+ 1 4.08792- 3 1.47875- 2 8.00000+ 0 2.10000+ 1 2.73883- 3 1.50343- 2 8.00000+ 0 2.20000+ 1 3.31446- 3 1.50749- 2 8.00000+ 0 2.40000+ 1 2.52086- 4 1.54005- 2 8.00000+ 0 2.50000+ 1 2.62939- 4 1.54111- 2 8.00000+ 0 2.70000+ 1 5.88718- 4 1.54729- 2 8.00000+ 0 2.90000+ 1 6.77730- 4 1.55322- 2 8.00000+ 0 3.00000+ 1 9.45692- 4 1.55840- 2 8.00000+ 0 3.20000+ 1 5.16738- 4 1.56720- 2 8.00000+ 0 3.30000+ 1 6.19367- 4 1.56797- 2 1.00000+ 1 1.00000+ 1 1.37755- 5 1.11094- 2 1.00000+ 1 1.10000+ 1 2.06974- 4 1.19518- 2 1.00000+ 1 1.30000+ 1 7.27870- 4 1.24951- 2 1.00000+ 1 1.40000+ 1 5.17610- 3 1.26676- 2 1.00000+ 1 1.60000+ 1 1.99965- 3 1.47491- 2 1.00000+ 1 1.80000+ 1 1.72190- 6 1.49011- 2 1.00000+ 1 1.90000+ 1 4.25312- 5 1.51206- 2 1.00000+ 1 2.10000+ 1 1.47217- 4 1.53674- 2 1.00000+ 1 2.20000+ 1 8.01908- 4 1.54080- 2 1.00000+ 1 2.40000+ 1 9.52300- 5 1.57336- 2 1.00000+ 1 2.50000+ 1 3.28208- 4 1.57442- 2 1.00000+ 1 2.70000+ 1 4.58554- 4 1.58060- 2 1.00000+ 1 2.90000+ 1 3.44389- 7 1.58653- 2 1.00000+ 1 3.00000+ 1 9.29892- 6 1.59171- 2 1.00000+ 1 3.20000+ 1 2.72067- 5 1.60051- 2 1.00000+ 1 3.30000+ 1 1.37415- 4 1.60128- 2 1.10000+ 1 1.10000+ 1 6.86530- 4 1.27942- 2 1.10000+ 1 1.30000+ 1 1.44831- 3 1.33375- 2 1.10000+ 1 1.40000+ 1 8.89851- 4 1.35100- 2 1.10000+ 1 1.60000+ 1 2.76225- 3 1.55915- 2 1.10000+ 1 1.80000+ 1 5.44122- 5 1.57435- 2 1.10000+ 1 1.90000+ 1 2.72581- 4 1.59630- 2 1.10000+ 1 2.10000+ 1 1.55485- 4 1.62098- 2 1.10000+ 1 2.20000+ 1 6.93930- 5 1.62504- 2 1.10000+ 1 2.40000+ 1 1.12611- 4 1.65760- 2 1.10000+ 1 2.50000+ 1 9.74597- 5 1.65866- 2 1.10000+ 1 2.70000+ 1 6.28668- 4 1.66484- 2 1.10000+ 1 2.90000+ 1 1.27419- 5 1.67077- 2 1.10000+ 1 3.00000+ 1 5.97498- 5 1.67595- 2 1.10000+ 1 3.20000+ 1 2.49683- 5 1.68475- 2 1.10000+ 1 3.30000+ 1 9.98707- 6 1.68552- 2 1.30000+ 1 1.30000+ 1 6.44201- 4 1.38808- 2 1.30000+ 1 1.40000+ 1 1.78976- 2 1.40533- 2 1.30000+ 1 1.60000+ 1 1.76162- 3 1.61348- 2 1.30000+ 1 1.80000+ 1 2.19027- 4 1.62868- 2 1.30000+ 1 1.90000+ 1 4.01547- 4 1.65063- 2 1.30000+ 1 2.10000+ 1 3.02891- 4 1.67531- 2 1.30000+ 1 2.20000+ 1 3.00318- 3 1.67937- 2 1.30000+ 1 2.40000+ 1 2.49855- 4 1.71193- 2 1.30000+ 1 2.50000+ 1 6.78745- 4 1.71299- 2 1.30000+ 1 2.70000+ 1 3.91394- 4 1.71917- 2 1.30000+ 1 2.90000+ 1 5.32071- 5 1.72510- 2 1.30000+ 1 3.00000+ 1 9.50493- 5 1.73028- 2 1.30000+ 1 3.20000+ 1 5.69949- 5 1.73908- 2 1.30000+ 1 3.30000+ 1 5.20706- 4 1.73985- 2 1.40000+ 1 1.40000+ 1 4.87576- 3 1.42258- 2 1.40000+ 1 1.60000+ 1 2.17379- 3 1.63073- 2 1.40000+ 1 1.80000+ 1 1.16770- 3 1.64593- 2 1.40000+ 1 1.90000+ 1 2.38667- 4 1.66788- 2 1.40000+ 1 2.10000+ 1 2.87379- 3 1.69256- 2 1.40000+ 1 2.20000+ 1 1.72632- 3 1.69662- 2 1.40000+ 1 2.40000+ 1 7.44197- 4 1.72918- 2 1.40000+ 1 2.50000+ 1 5.51709- 4 1.73024- 2 1.40000+ 1 2.70000+ 1 4.86285- 4 1.73642- 2 1.40000+ 1 2.90000+ 1 2.66732- 4 1.74235- 2 1.40000+ 1 3.00000+ 1 5.66528- 5 1.74753- 2 1.40000+ 1 3.20000+ 1 4.98160- 4 1.75633- 2 1.40000+ 1 3.30000+ 1 3.03240- 4 1.75710- 2 1.60000+ 1 1.60000+ 1 2.55705- 4 1.83888- 2 1.60000+ 1 1.80000+ 1 5.15025- 4 1.85408- 2 1.60000+ 1 1.90000+ 1 7.09764- 4 1.87603- 2 1.60000+ 1 2.10000+ 1 4.28595- 4 1.90071- 2 1.60000+ 1 2.20000+ 1 5.22785- 4 1.90477- 2 1.60000+ 1 2.40000+ 1 3.28888- 5 1.93733- 2 1.60000+ 1 2.50000+ 1 3.25444- 5 1.93839- 2 1.60000+ 1 2.70000+ 1 1.23297- 4 1.94457- 2 1.60000+ 1 2.90000+ 1 1.20884- 4 1.95050- 2 1.60000+ 1 3.00000+ 1 1.64449- 4 1.95568- 2 1.60000+ 1 3.20000+ 1 8.09314- 5 1.96448- 2 1.60000+ 1 3.30000+ 1 9.76328- 5 1.96525- 2 1.80000+ 1 1.90000+ 1 1.11927- 5 1.89123- 2 1.80000+ 1 2.10000+ 1 4.02917- 5 1.91591- 2 1.80000+ 1 2.20000+ 1 1.88713- 4 1.91997- 2 1.80000+ 1 2.40000+ 1 1.36018- 5 1.95253- 2 1.80000+ 1 2.50000+ 1 5.35501- 5 1.95359- 2 1.80000+ 1 2.70000+ 1 1.18125- 4 1.95977- 2 1.80000+ 1 3.00000+ 1 2.41068- 6 1.97088- 2 1.80000+ 1 3.20000+ 1 7.23154- 6 1.97968- 2 1.80000+ 1 3.30000+ 1 3.25432- 5 1.98045- 2 1.90000+ 1 1.90000+ 1 2.60007- 5 1.91319- 2 1.90000+ 1 2.10000+ 1 4.45981- 5 1.93787- 2 1.90000+ 1 2.20000+ 1 2.13520- 5 1.94192- 2 1.90000+ 1 2.40000+ 1 2.65163- 5 1.97448- 2 1.90000+ 1 2.50000+ 1 2.20407- 5 1.97554- 2 1.90000+ 1 2.70000+ 1 1.61694- 4 1.98173- 2 1.90000+ 1 2.90000+ 1 2.58285- 6 1.98765- 2 1.90000+ 1 3.00000+ 1 1.13643- 5 1.99284- 2 1.90000+ 1 3.20000+ 1 7.05960- 6 2.00163- 2 1.90000+ 1 3.30000+ 1 3.27162- 6 2.00240- 2 2.10000+ 1 2.10000+ 1 3.28882- 5 1.96255- 2 2.10000+ 1 2.20000+ 1 5.28273- 4 1.96660- 2 2.10000+ 1 2.40000+ 1 4.06371- 5 1.99916- 2 2.10000+ 1 2.50000+ 1 8.31699- 5 2.00022- 2 2.10000+ 1 2.70000+ 1 9.53993- 5 2.00641- 2 2.10000+ 1 2.90000+ 1 9.64255- 6 2.01234- 2 2.10000+ 1 3.00000+ 1 1.06764- 5 2.01752- 2 2.10000+ 1 3.20000+ 1 1.22253- 5 2.02632- 2 2.10000+ 1 3.30000+ 1 9.31585- 5 2.02708- 2 2.20000+ 1 2.20000+ 1 1.63926- 4 1.97066- 2 2.20000+ 1 2.40000+ 1 9.78103- 5 2.00322- 2 2.20000+ 1 2.50000+ 1 8.02402- 5 2.00427- 2 2.20000+ 1 2.70000+ 1 1.16746- 4 2.01046- 2 2.20000+ 1 2.90000+ 1 4.33914- 5 2.01639- 2 2.20000+ 1 3.00000+ 1 5.16568- 6 2.02157- 2 2.20000+ 1 3.20000+ 1 9.31585- 5 2.03037- 2 2.20000+ 1 3.30000+ 1 5.83722- 5 2.03114- 2 2.40000+ 1 2.40000+ 1 1.20529- 6 2.03577- 2 2.40000+ 1 2.50000+ 1 2.16950- 5 2.03683- 2 2.40000+ 1 2.70000+ 1 7.05949- 6 2.04302- 2 2.40000+ 1 2.90000+ 1 2.75502- 6 2.04895- 2 2.40000+ 1 3.00000+ 1 6.02659- 6 2.05413- 2 2.40000+ 1 3.20000+ 1 7.05949- 6 2.06293- 2 2.40000+ 1 3.30000+ 1 1.61861- 5 2.06370- 2 2.50000+ 1 2.50000+ 1 4.62972- 6 2.03789- 2 2.50000+ 1 2.70000+ 1 7.12252- 6 2.04408- 2 2.50000+ 1 2.90000+ 1 1.17522- 5 2.05001- 2 2.50000+ 1 3.00000+ 1 5.16400- 6 2.05519- 2 2.50000+ 1 3.20000+ 1 1.40663- 5 2.06399- 2 2.50000+ 1 3.30000+ 1 1.40663- 5 2.06476- 2 2.70000+ 1 2.70000+ 1 1.62500- 5 2.05027- 2 2.70000+ 1 2.90000+ 1 3.04213- 5 2.05619- 2 2.70000+ 1 3.00000+ 1 4.10020- 5 2.06138- 2 2.70000+ 1 3.20000+ 1 1.98396- 5 2.07017- 2 2.70000+ 1 3.30000+ 1 2.39971- 5 2.07094- 2 2.90000+ 1 3.00000+ 1 5.83043- 7 2.06730- 2 2.90000+ 1 3.20000+ 1 1.94344- 6 2.07610- 2 2.90000+ 1 3.30000+ 1 8.55152- 6 2.07687- 2 3.00000+ 1 3.00000+ 1 1.62355- 6 2.07249- 2 3.00000+ 1 3.20000+ 1 2.31935- 6 2.08128- 2 3.00000+ 1 3.30000+ 1 1.15971- 6 2.08205- 2 3.20000+ 1 3.20000+ 1 1.21366- 6 2.09008- 2 3.20000+ 1 3.30000+ 1 1.66453- 5 2.09085- 2 3.30000+ 1 3.30000+ 1 5.24860- 6 2.09162- 2 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 3.18270- 5 3.65900- 3 8.00000+ 0 9.84309- 3 1.50671- 2 1.10000+ 1 4.96200- 4 1.62426- 2 1.30000+ 1 3.51140- 1 1.67859- 2 1.60000+ 1 2.65830- 3 1.90399- 2 1.90000+ 1 1.48700- 4 1.94114- 2 2.10000+ 1 7.88189- 2 1.96582- 2 2.40000+ 1 4.74460- 4 2.00244- 2 2.70000+ 1 6.74489- 4 2.00968- 2 3.00000+ 1 3.58300- 5 2.02079- 2 3.20000+ 1 1.49210- 2 2.02959- 2 3.50000+ 1 6.51749- 6 2.03944- 2 4.10000+ 1 1.38180- 4 2.03520- 2 4.40000+ 1 6.22359- 6 2.03782- 2 5.80000+ 1 1.53020- 5 2.03963- 2 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.30000+ 1 1.14921- 1 4.29000- 5 6.00000+ 0 1.40000+ 1 3.76453- 2 2.15400- 4 6.00000+ 0 1.60000+ 1 3.12785- 3 2.29690- 3 6.00000+ 0 1.80000+ 1 2.55680- 2 2.44890- 3 6.00000+ 0 1.90000+ 1 6.09672- 3 2.66843- 3 6.00000+ 0 2.10000+ 1 2.26754- 2 2.91525- 3 6.00000+ 0 2.20000+ 1 7.66702- 3 2.95579- 3 6.00000+ 0 2.40000+ 1 1.11216- 3 3.28137- 3 6.00000+ 0 2.50000+ 1 1.60324- 3 3.29196- 3 6.00000+ 0 2.70000+ 1 7.21734- 4 3.35383- 3 6.00000+ 0 2.90000+ 1 5.45986- 3 3.41311- 3 6.00000+ 0 3.00000+ 1 1.36901- 3 3.46493- 3 6.00000+ 0 3.20000+ 1 4.09209- 3 3.55292- 3 6.00000+ 0 3.30000+ 1 1.39018- 3 3.56060- 3 8.00000+ 0 8.00000+ 0 3.53632- 4 9.73220- 3 8.00000+ 0 1.00000+ 1 1.45387- 2 1.00653- 2 8.00000+ 0 1.10000+ 1 1.28451- 3 1.09077- 2 8.00000+ 0 1.30000+ 1 2.70881- 3 1.14510- 2 8.00000+ 0 1.40000+ 1 1.00919- 3 1.16235- 2 8.00000+ 0 1.60000+ 1 1.42029- 4 1.37050- 2 8.00000+ 0 1.80000+ 1 2.46353- 3 1.38570- 2 8.00000+ 0 1.90000+ 1 2.95364- 4 1.40765- 2 8.00000+ 0 2.10000+ 1 4.65107- 4 1.43233- 2 8.00000+ 0 2.20000+ 1 1.47398- 4 1.43639- 2 8.00000+ 0 2.40000+ 1 6.13938- 5 1.46895- 2 8.00000+ 0 2.50000+ 1 4.47005- 5 1.47001- 2 8.00000+ 0 2.70000+ 1 3.36666- 5 1.47619- 2 8.00000+ 0 2.90000+ 1 5.27629- 4 1.48212- 2 8.00000+ 0 3.00000+ 1 6.67663- 5 1.48730- 2 8.00000+ 0 3.20000+ 1 8.23239- 5 1.49610- 2 8.00000+ 0 3.30000+ 1 2.51800- 5 1.49687- 2 1.00000+ 1 1.00000+ 1 1.55298- 2 1.03984- 2 1.00000+ 1 1.10000+ 1 3.53695- 2 1.12408- 2 1.00000+ 1 1.30000+ 1 1.78739- 2 1.17841- 2 1.00000+ 1 1.40000+ 1 2.29857- 2 1.19566- 2 1.00000+ 1 1.60000+ 1 3.92341- 3 1.40381- 2 1.00000+ 1 1.80000+ 1 6.70313- 3 1.41901- 2 1.00000+ 1 1.90000+ 1 8.86320- 3 1.44096- 2 1.00000+ 1 2.10000+ 1 4.30218- 3 1.46564- 2 1.00000+ 1 2.20000+ 1 5.55117- 3 1.46970- 2 1.00000+ 1 2.40000+ 1 3.47412- 4 1.50226- 2 1.00000+ 1 2.50000+ 1 2.82061- 4 1.50332- 2 1.00000+ 1 2.70000+ 1 9.90502- 4 1.50950- 2 1.00000+ 1 2.90000+ 1 1.52430- 3 1.51543- 2 1.00000+ 1 3.00000+ 1 2.04259- 3 1.52061- 2 1.00000+ 1 3.20000+ 1 8.12203- 4 1.52941- 2 1.00000+ 1 3.30000+ 1 1.03881- 3 1.53018- 2 1.10000+ 1 1.10000+ 1 7.28500- 4 1.20832- 2 1.10000+ 1 1.30000+ 1 1.38712- 2 1.26265- 2 1.10000+ 1 1.40000+ 1 2.12668- 3 1.27990- 2 1.10000+ 1 1.60000+ 1 2.88577- 4 1.48805- 2 1.10000+ 1 1.80000+ 1 6.03571- 3 1.50325- 2 1.10000+ 1 1.90000+ 1 3.16023- 4 1.52520- 2 1.10000+ 1 2.10000+ 1 2.84766- 3 1.54988- 2 1.10000+ 1 2.20000+ 1 4.24383- 4 1.55394- 2 1.10000+ 1 2.40000+ 1 1.14577- 4 1.58650- 2 1.10000+ 1 2.50000+ 1 5.74325- 5 1.58756- 2 1.10000+ 1 2.70000+ 1 6.95954- 5 1.59374- 2 1.10000+ 1 2.90000+ 1 1.29349- 3 1.59967- 2 1.10000+ 1 3.00000+ 1 7.04500- 5 1.60485- 2 1.10000+ 1 3.20000+ 1 5.20001- 4 1.61365- 2 1.10000+ 1 3.30000+ 1 7.66714- 5 1.61442- 2 1.30000+ 1 1.30000+ 1 1.31840- 2 1.31698- 2 1.30000+ 1 1.40000+ 1 5.07765- 2 1.33423- 2 1.30000+ 1 1.60000+ 1 7.31898- 4 1.54238- 2 1.30000+ 1 1.80000+ 1 2.93078- 3 1.55758- 2 1.30000+ 1 1.90000+ 1 3.19609- 3 1.57953- 2 1.30000+ 1 2.10000+ 1 5.25597- 3 1.60421- 2 1.30000+ 1 2.20000+ 1 1.09408- 2 1.60827- 2 1.30000+ 1 2.40000+ 1 1.10958- 3 1.64083- 2 1.30000+ 1 2.50000+ 1 2.20653- 3 1.64189- 2 1.30000+ 1 2.70000+ 1 1.85307- 4 1.64807- 2 1.30000+ 1 2.90000+ 1 6.28372- 4 1.65400- 2 1.30000+ 1 3.00000+ 1 7.22872- 4 1.65918- 2 1.30000+ 1 3.20000+ 1 9.59642- 4 1.66798- 2 1.30000+ 1 3.30000+ 1 2.00166- 3 1.66875- 2 1.40000+ 1 1.40000+ 1 2.47893- 3 1.35148- 2 1.40000+ 1 1.60000+ 1 2.19262- 4 1.55963- 2 1.40000+ 1 1.80000+ 1 3.30405- 3 1.57483- 2 1.40000+ 1 1.90000+ 1 4.52671- 4 1.59678- 2 1.40000+ 1 2.10000+ 1 8.30786- 3 1.62146- 2 1.40000+ 1 2.20000+ 1 9.75248- 4 1.62552- 2 1.40000+ 1 2.40000+ 1 4.42201- 4 1.65808- 2 1.40000+ 1 2.50000+ 1 1.68056- 4 1.65914- 2 1.40000+ 1 2.70000+ 1 5.29063- 5 1.66532- 2 1.40000+ 1 2.90000+ 1 6.80122- 4 1.67125- 2 1.40000+ 1 3.00000+ 1 1.00441- 4 1.67643- 2 1.40000+ 1 3.20000+ 1 1.45027- 3 1.68523- 2 1.40000+ 1 3.30000+ 1 1.75977- 4 1.68600- 2 1.60000+ 1 1.60000+ 1 1.35799- 5 1.76778- 2 1.60000+ 1 1.80000+ 1 6.68781- 4 1.78298- 2 1.60000+ 1 1.90000+ 1 6.67645- 5 1.80493- 2 1.60000+ 1 2.10000+ 1 1.23067- 4 1.82961- 2 1.60000+ 1 2.20000+ 1 3.16853- 5 1.83367- 2 1.60000+ 1 2.40000+ 1 1.44276- 5 1.86623- 2 1.60000+ 1 2.50000+ 1 8.48737- 6 1.86729- 2 1.60000+ 1 2.70000+ 1 6.50670- 6 1.87347- 2 1.60000+ 1 2.90000+ 1 1.43430- 4 1.87940- 2 1.60000+ 1 3.00000+ 1 1.49944- 5 1.88458- 2 1.60000+ 1 3.20000+ 1 2.15004- 5 1.89338- 2 1.60000+ 1 3.30000+ 1 5.37516- 6 1.89415- 2 1.80000+ 1 1.80000+ 1 6.87791- 4 1.79818- 2 1.80000+ 1 1.90000+ 1 1.51877- 3 1.82013- 2 1.80000+ 1 2.10000+ 1 6.95682- 4 1.84481- 2 1.80000+ 1 2.20000+ 1 8.06609- 4 1.84887- 2 1.80000+ 1 2.40000+ 1 4.69650- 5 1.88143- 2 1.80000+ 1 2.50000+ 1 2.91405- 5 1.88249- 2 1.80000+ 1 2.70000+ 1 1.68900- 4 1.88867- 2 1.80000+ 1 2.90000+ 1 3.09227- 4 1.89460- 2 1.80000+ 1 3.00000+ 1 3.50253- 4 1.89978- 2 1.80000+ 1 3.20000+ 1 1.30994- 4 1.90858- 2 1.80000+ 1 3.30000+ 1 1.51367- 4 1.90935- 2 1.90000+ 1 1.90000+ 1 3.42328- 5 1.84209- 2 1.90000+ 1 2.10000+ 1 6.60317- 4 1.86677- 2 1.90000+ 1 2.20000+ 1 9.13800- 5 1.87082- 2 1.90000+ 1 2.40000+ 1 2.37646- 5 1.90338- 2 1.90000+ 1 2.50000+ 1 1.07502- 5 1.90444- 2 1.90000+ 1 2.70000+ 1 1.61258- 5 1.91063- 2 1.90000+ 1 2.90000+ 1 3.25641- 4 1.91655- 2 1.90000+ 1 3.00000+ 1 1.52779- 5 1.92174- 2 1.90000+ 1 3.20000+ 1 1.20801- 4 1.93053- 2 1.90000+ 1 3.30000+ 1 1.64087- 5 1.93130- 2 2.10000+ 1 2.10000+ 1 5.21138- 4 1.89145- 2 2.10000+ 1 2.20000+ 1 1.86647- 3 1.89550- 2 2.10000+ 1 2.40000+ 1 1.52494- 4 1.92806- 2 2.10000+ 1 2.50000+ 1 3.04707- 4 1.92912- 2 2.10000+ 1 2.70000+ 1 3.11213- 5 1.93531- 2 2.10000+ 1 2.90000+ 1 1.48250- 4 1.94124- 2 2.10000+ 1 3.00000+ 1 1.49655- 4 1.94642- 2 2.10000+ 1 3.20000+ 1 1.89832- 4 1.95522- 2 2.10000+ 1 3.30000+ 1 3.44028- 4 1.95598- 2 2.20000+ 1 2.20000+ 1 9.70414- 5 1.89956- 2 2.20000+ 1 2.40000+ 1 6.61995- 5 1.93212- 2 2.20000+ 1 2.50000+ 1 2.57452- 5 1.93317- 2 2.20000+ 1 2.70000+ 1 7.63847- 6 1.93936- 2 2.20000+ 1 2.90000+ 1 1.66358- 4 1.94529- 2 2.20000+ 1 3.00000+ 1 2.03706- 5 1.95047- 2 2.20000+ 1 3.20000+ 1 3.28174- 4 1.95927- 2 2.20000+ 1 3.30000+ 1 3.50817- 5 1.96004- 2 2.40000+ 1 2.40000+ 1 3.96086- 6 1.96467- 2 2.40000+ 1 2.50000+ 1 2.65940- 5 1.96573- 2 2.40000+ 1 2.70000+ 1 3.39501- 6 1.97192- 2 2.40000+ 1 2.90000+ 1 9.61915- 6 1.97785- 2 2.40000+ 1 3.00000+ 1 5.09248- 6 1.98303- 2 2.40000+ 1 3.20000+ 1 2.57453- 5 1.99183- 2 2.40000+ 1 3.30000+ 1 1.13161- 5 1.99260- 2 2.50000+ 1 2.50000+ 1 1.69746- 6 1.96679- 2 2.50000+ 1 2.70000+ 1 1.98039- 6 1.97298- 2 2.50000+ 1 2.90000+ 1 5.65834- 6 1.97891- 2 2.50000+ 1 3.00000+ 1 2.26341- 6 1.98409- 2 2.50000+ 1 3.20000+ 1 5.14907- 5 1.99289- 2 2.50000+ 1 3.30000+ 1 4.52663- 6 1.99366- 2 2.70000+ 1 2.70000+ 1 8.48772- 7 1.97917- 2 2.70000+ 1 2.90000+ 1 3.62134- 5 1.98509- 2 2.70000+ 1 3.00000+ 1 3.67792- 6 1.99028- 2 2.70000+ 1 3.20000+ 1 5.37538- 6 1.99907- 2 2.70000+ 1 3.30000+ 1 1.41453- 6 1.99984- 2 2.90000+ 1 2.90000+ 1 3.47981- 5 1.99102- 2 2.90000+ 1 3.00000+ 1 7.49724- 5 1.99620- 2 2.90000+ 1 3.20000+ 1 2.80091- 5 2.00500- 2 2.90000+ 1 3.30000+ 1 3.11202- 5 2.00577- 2 3.00000+ 1 3.00000+ 1 1.69745- 6 2.00139- 2 3.00000+ 1 3.20000+ 1 2.74416- 5 2.01018- 2 3.00000+ 1 3.30000+ 1 3.67791- 6 2.01095- 2 3.20000+ 1 3.20000+ 1 1.84830- 5 2.01898- 2 3.20000+ 1 3.30000+ 1 6.48419- 5 2.01975- 2 3.30000+ 1 3.30000+ 1 3.48320- 6 2.02052- 2 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 2.08669- 2 1.14081- 2 1.00000+ 1 2.60588- 4 1.17412- 2 1.10000+ 1 2.36748- 4 1.25836- 2 1.30000+ 1 3.44078- 2 1.31269- 2 1.40000+ 1 3.02378- 1 1.32994- 2 1.60000+ 1 5.22926- 3 1.53809- 2 1.80000+ 1 5.81516- 5 1.55329- 2 1.90000+ 1 6.40015- 5 1.57524- 2 2.10000+ 1 6.88325- 3 1.59992- 2 2.20000+ 1 6.29386- 2 1.60398- 2 2.40000+ 1 8.44714- 5 1.63654- 2 2.50000+ 1 4.66547- 4 1.63760- 2 2.70000+ 1 1.31169- 3 1.64378- 2 2.90000+ 1 1.33149- 5 1.64971- 2 3.00000+ 1 1.50759- 5 1.65489- 2 3.20000+ 1 1.27439- 3 1.66369- 2 3.30000+ 1 1.16599- 2 1.66446- 2 3.50000+ 1 1.14779- 6 1.67354- 2 3.60000+ 1 6.19296- 6 1.67362- 2 4.10000+ 1 2.72658- 4 1.66930- 2 4.30000+ 1 2.40738- 6 1.67104- 2 4.40000+ 1 2.59748- 6 1.67192- 2 5.80000+ 1 3.01118- 5 1.67373- 2 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 4.52216- 4 6.07320- 3 8.00000+ 0 1.00000+ 1 1.99590- 4 6.40630- 3 8.00000+ 0 1.10000+ 1 1.82630- 2 7.24870- 3 8.00000+ 0 1.30000+ 1 2.78963- 3 7.79200- 3 8.00000+ 0 1.40000+ 1 5.52548- 3 7.96450- 3 8.00000+ 0 1.60000+ 1 1.84353- 4 1.00460- 2 8.00000+ 0 1.80000+ 1 3.39583- 5 1.01980- 2 8.00000+ 0 1.90000+ 1 3.01714- 3 1.04175- 2 8.00000+ 0 2.10000+ 1 3.32314- 4 1.06644- 2 8.00000+ 0 2.20000+ 1 6.21983- 4 1.07049- 2 8.00000+ 0 2.40000+ 1 3.19146- 4 1.10305- 2 8.00000+ 0 2.50000+ 1 5.42659- 4 1.10411- 2 8.00000+ 0 2.70000+ 1 4.33148- 5 1.11029- 2 8.00000+ 0 2.90000+ 1 7.27702- 6 1.11622- 2 8.00000+ 0 3.00000+ 1 6.34837- 4 1.12140- 2 8.00000+ 0 3.20000+ 1 5.47505- 5 1.13020- 2 8.00000+ 0 3.30000+ 1 9.91007- 5 1.13097- 2 1.00000+ 1 1.00000+ 1 6.93086- 7 6.73940- 3 1.00000+ 1 1.10000+ 1 3.06141- 2 7.58180- 3 1.00000+ 1 1.30000+ 1 1.31408- 3 8.12510- 3 1.00000+ 1 1.40000+ 1 9.91517- 3 8.29760- 3 1.00000+ 1 1.60000+ 1 4.22765- 5 1.03791- 2 1.00000+ 1 1.80000+ 1 6.93086- 6 1.05311- 2 1.00000+ 1 1.90000+ 1 5.25275- 3 1.07506- 2 1.00000+ 1 2.10000+ 1 2.59210- 4 1.09974- 2 1.00000+ 1 2.20000+ 1 1.62974- 3 1.10380- 2 1.00000+ 1 2.40000+ 1 2.76190- 4 1.13636- 2 1.00000+ 1 2.50000+ 1 6.61874- 4 1.13742- 2 1.00000+ 1 2.70000+ 1 1.03958- 5 1.14360- 2 1.00000+ 1 2.90000+ 1 2.42566- 6 1.14953- 2 1.00000+ 1 3.00000+ 1 1.11375- 3 1.15471- 2 1.00000+ 1 3.20000+ 1 4.85140- 5 1.16351- 2 1.00000+ 1 3.30000+ 1 2.85546- 4 1.16428- 2 1.10000+ 1 1.10000+ 1 3.65968- 2 8.42420- 3 1.10000+ 1 1.30000+ 1 3.83756- 2 8.96750- 3 1.10000+ 1 1.40000+ 1 4.89520- 2 9.14000- 3 1.10000+ 1 1.60000+ 1 4.84359- 3 1.12215- 2 1.10000+ 1 1.80000+ 1 7.29178- 3 1.13735- 2 1.10000+ 1 1.90000+ 1 1.52609- 2 1.15930- 2 1.10000+ 1 2.10000+ 1 8.63417- 3 1.18398- 2 1.10000+ 1 2.20000+ 1 1.09399- 2 1.18804- 2 1.10000+ 1 2.40000+ 1 8.98225- 4 1.22060- 2 1.10000+ 1 2.50000+ 1 1.07428- 3 1.22166- 2 1.10000+ 1 2.70000+ 1 1.21741- 3 1.22784- 2 1.10000+ 1 2.90000+ 1 1.68801- 3 1.23377- 2 1.10000+ 1 3.00000+ 1 3.39749- 3 1.23895- 2 1.10000+ 1 3.20000+ 1 1.61109- 3 1.24775- 2 1.10000+ 1 3.30000+ 1 2.01758- 3 1.24852- 2 1.30000+ 1 1.30000+ 1 5.05636- 3 9.51080- 3 1.30000+ 1 1.40000+ 1 9.41960- 2 9.68330- 3 1.30000+ 1 1.60000+ 1 6.76781- 4 1.17648- 2 1.30000+ 1 1.80000+ 1 3.46546- 4 1.19168- 2 1.30000+ 1 1.90000+ 1 5.93839- 3 1.21363- 2 1.30000+ 1 2.10000+ 1 1.90638- 3 1.23831- 2 1.30000+ 1 2.20000+ 1 1.48699- 2 1.24237- 2 1.30000+ 1 2.40000+ 1 4.83780- 4 1.27493- 2 1.30000+ 1 2.50000+ 1 1.61591- 3 1.27599- 2 1.30000+ 1 2.70000+ 1 1.68417- 4 1.28217- 2 1.30000+ 1 2.90000+ 1 8.14388- 5 1.28810- 2 1.30000+ 1 3.00000+ 1 1.23021- 3 1.29328- 2 1.30000+ 1 3.20000+ 1 3.45502- 4 1.30208- 2 1.30000+ 1 3.30000+ 1 2.56343- 3 1.30285- 2 1.40000+ 1 1.40000+ 1 6.22029- 2 9.85580- 3 1.40000+ 1 1.60000+ 1 1.35295- 3 1.19373- 2 1.40000+ 1 1.80000+ 1 2.12370- 3 1.20893- 2 1.40000+ 1 1.90000+ 1 8.48325- 3 1.23088- 2 1.40000+ 1 2.10000+ 1 1.78949- 2 1.25556- 2 1.40000+ 1 2.20000+ 1 2.25569- 2 1.25962- 2 1.40000+ 1 2.40000+ 1 5.05999- 3 1.29218- 2 1.40000+ 1 2.50000+ 1 4.55991- 3 1.29324- 2 1.40000+ 1 2.70000+ 1 3.38927- 4 1.29942- 2 1.40000+ 1 2.90000+ 1 4.81365- 4 1.30535- 2 1.40000+ 1 3.00000+ 1 1.81728- 3 1.31053- 2 1.40000+ 1 3.20000+ 1 3.23503- 3 1.31933- 2 1.40000+ 1 3.30000+ 1 4.01198- 3 1.32010- 2 1.60000+ 1 1.60000+ 1 1.97523- 5 1.40188- 2 1.60000+ 1 1.80000+ 1 8.31675- 6 1.41708- 2 1.60000+ 1 1.90000+ 1 7.99075- 4 1.43903- 2 1.60000+ 1 2.10000+ 1 8.66304- 5 1.46371- 2 1.60000+ 1 2.20000+ 1 1.61486- 4 1.46777- 2 1.60000+ 1 2.40000+ 1 3.98503- 5 1.50033- 2 1.60000+ 1 2.50000+ 1 7.65824- 5 1.50139- 2 1.60000+ 1 2.70000+ 1 9.35633- 6 1.50757- 2 1.60000+ 1 2.90000+ 1 1.73265- 6 1.51350- 2 1.60000+ 1 3.00000+ 1 1.68064- 4 1.51868- 2 1.60000+ 1 3.20000+ 1 1.45540- 5 1.52748- 2 1.60000+ 1 3.30000+ 1 2.59897- 5 1.52825- 2 1.80000+ 1 1.90000+ 1 1.24128- 3 1.45423- 2 1.80000+ 1 2.10000+ 1 6.27226- 5 1.47891- 2 1.80000+ 1 2.20000+ 1 3.82576- 4 1.48297- 2 1.80000+ 1 2.40000+ 1 4.15836- 5 1.51553- 2 1.80000+ 1 2.50000+ 1 9.28675- 5 1.51659- 2 1.80000+ 1 2.70000+ 1 2.07913- 6 1.52277- 2 1.80000+ 1 3.00000+ 1 2.62674- 4 1.53388- 2 1.80000+ 1 3.20000+ 1 1.14357- 5 1.54268- 2 1.80000+ 1 3.30000+ 1 6.75703- 5 1.54345- 2 1.90000+ 1 1.90000+ 1 1.51854- 3 1.47619- 2 1.90000+ 1 2.10000+ 1 1.34077- 3 1.50087- 2 1.90000+ 1 2.20000+ 1 1.86986- 3 1.50492- 2 1.90000+ 1 2.40000+ 1 1.14704- 4 1.53748- 2 1.90000+ 1 2.50000+ 1 1.44163- 4 1.53854- 2 1.90000+ 1 2.70000+ 1 2.00992- 4 1.54473- 2 1.90000+ 1 2.90000+ 1 2.86925- 4 1.55065- 2 1.90000+ 1 3.00000+ 1 6.69152- 4 1.55584- 2 1.90000+ 1 3.20000+ 1 2.50187- 4 1.56463- 2 1.90000+ 1 3.30000+ 1 3.43755- 4 1.56540- 2 2.10000+ 1 2.10000+ 1 1.71888- 4 1.52555- 2 2.10000+ 1 2.20000+ 1 2.96844- 3 1.52960- 2 2.10000+ 1 2.40000+ 1 5.99491- 5 1.56216- 2 2.10000+ 1 2.50000+ 1 1.88514- 4 1.56322- 2 2.10000+ 1 2.70000+ 1 2.18317- 5 1.56941- 2 2.10000+ 1 2.90000+ 1 1.45542- 5 1.57534- 2 2.10000+ 1 3.00000+ 1 2.78268- 4 1.58052- 2 2.10000+ 1 3.20000+ 1 6.16815- 5 1.58932- 2 2.10000+ 1 3.30000+ 1 5.15644- 4 1.59008- 2 2.20000+ 1 2.20000+ 1 2.05936- 3 1.53366- 2 2.20000+ 1 2.40000+ 1 6.20614- 4 1.56622- 2 2.20000+ 1 2.50000+ 1 5.48567- 4 1.56727- 2 2.20000+ 1 2.70000+ 1 4.08917- 5 1.57346- 2 2.20000+ 1 2.90000+ 1 8.80207- 5 1.57939- 2 2.20000+ 1 3.00000+ 1 3.99205- 4 1.58457- 2 2.20000+ 1 3.20000+ 1 5.40934- 4 1.59337- 2 2.20000+ 1 3.30000+ 1 7.32569- 4 1.59414- 2 2.40000+ 1 2.40000+ 1 2.77215- 6 1.59877- 2 2.40000+ 1 2.50000+ 1 8.59390- 5 1.59983- 2 2.40000+ 1 2.70000+ 1 8.66284- 6 1.60602- 2 2.40000+ 1 2.90000+ 1 8.66284- 6 1.61195- 2 2.40000+ 1 3.00000+ 1 2.28701- 5 1.61713- 2 2.40000+ 1 3.20000+ 1 1.00498- 5 1.62593- 2 2.40000+ 1 3.30000+ 1 1.01532- 4 1.62670- 2 2.50000+ 1 2.50000+ 1 3.04934- 5 1.60089- 2 2.50000+ 1 2.70000+ 1 1.69796- 5 1.60708- 2 2.50000+ 1 2.90000+ 1 1.94054- 5 1.61301- 2 2.50000+ 1 3.00000+ 1 2.94542- 5 1.61819- 2 2.50000+ 1 3.20000+ 1 3.08419- 5 1.62699- 2 2.50000+ 1 3.30000+ 1 8.94039- 5 1.62776- 2 2.70000+ 1 2.70000+ 1 1.06418- 6 1.61327- 2 2.70000+ 1 2.90000+ 1 3.54732- 7 1.61919- 2 2.70000+ 1 3.00000+ 1 4.32768- 5 1.62438- 2 2.70000+ 1 3.20000+ 1 3.90211- 6 1.63318- 2 2.70000+ 1 3.30000+ 1 6.73976- 6 1.63394- 2 2.90000+ 1 3.00000+ 1 6.24869- 5 1.63030- 2 2.90000+ 1 3.20000+ 1 2.85647- 6 1.63910- 2 2.90000+ 1 3.30000+ 1 1.60680- 5 1.63987- 2 3.00000+ 1 3.00000+ 1 7.39640- 5 1.63549- 2 3.00000+ 1 3.20000+ 1 5.23306- 5 1.64428- 2 3.00000+ 1 3.30000+ 1 7.39640- 5 1.64505- 2 3.20000+ 1 3.20000+ 1 5.54442- 6 1.65308- 2 3.20000+ 1 3.30000+ 1 9.42589- 5 1.65385- 2 3.30000+ 1 3.30000+ 1 6.51495- 5 1.65462- 2 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.06130- 5 3.33100- 4 1.10000+ 1 1.07100- 3 1.17550- 3 1.80000+ 1 2.52889- 3 4.12480- 3 1.90000+ 1 1.40619- 3 4.34433- 3 2.90000+ 1 6.60747- 4 5.08901- 3 3.00000+ 1 4.19888- 4 5.14083- 3 4.30000+ 1 1.22029- 4 5.30229- 3 4.40000+ 1 7.50477- 5 5.31108- 3 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.70000+ 1 1.54086- 2 2.79300- 5 1.00000+ 1 2.90000+ 1 1.61220- 2 8.72100- 5 1.00000+ 1 3.00000+ 1 1.94124- 2 1.39030- 4 1.00000+ 1 3.20000+ 1 1.09462- 2 2.27020- 4 1.00000+ 1 3.30000+ 1 1.42835- 2 2.34700- 4 1.00000+ 1 3.50000+ 1 1.73061- 4 3.25460- 4 1.00000+ 1 3.60000+ 1 2.16297- 4 3.26300- 4 1.00000+ 1 4.10000+ 1 2.95084- 3 2.83090- 4 1.00000+ 1 4.30000+ 1 2.56804- 3 3.00490- 4 1.00000+ 1 4.40000+ 1 2.88039- 3 3.09280- 4 1.00000+ 1 4.60000+ 1 6.32515- 5 3.28390- 4 1.00000+ 1 4.70000+ 1 7.52897- 5 3.28970- 4 1.00000+ 1 5.80000+ 1 3.11620- 4 3.27430- 4 1.10000+ 1 1.90000+ 1 4.51561- 2 1.84930- 4 1.10000+ 1 2.10000+ 1 1.14438- 2 4.31750- 4 1.10000+ 1 2.20000+ 1 2.73073- 2 4.72290- 4 1.10000+ 1 2.40000+ 1 2.09864- 1 7.97870- 4 1.10000+ 1 2.50000+ 1 2.54118- 1 8.08460- 4 1.10000+ 1 2.70000+ 1 1.21203- 2 8.70330- 4 1.10000+ 1 2.90000+ 1 1.23062- 2 9.29610- 4 1.10000+ 1 3.00000+ 1 1.01679- 2 9.81430- 4 1.10000+ 1 3.20000+ 1 2.42287- 3 1.06942- 3 1.10000+ 1 3.30000+ 1 5.48075- 3 1.07710- 3 1.10000+ 1 3.50000+ 1 1.53248- 3 1.16786- 3 1.10000+ 1 3.60000+ 1 1.76550- 3 1.16870- 3 1.10000+ 1 4.10000+ 1 2.35233- 3 1.12549- 3 1.10000+ 1 4.30000+ 1 2.01421- 3 1.14289- 3 1.10000+ 1 4.40000+ 1 1.54956- 3 1.15168- 3 1.10000+ 1 4.60000+ 1 1.49421- 5 1.17079- 3 1.10000+ 1 4.70000+ 1 3.06107- 5 1.17137- 3 1.10000+ 1 5.80000+ 1 2.50821- 4 1.16983- 3 1.30000+ 1 1.60000+ 1 2.81520- 2 3.56700- 4 1.30000+ 1 1.80000+ 1 5.92418- 3 5.08700- 4 1.30000+ 1 1.90000+ 1 9.74137- 3 7.28230- 4 1.30000+ 1 2.10000+ 1 9.57341- 3 9.75050- 4 1.30000+ 1 2.20000+ 1 1.14387- 2 1.01559- 3 1.30000+ 1 2.40000+ 1 1.06193- 2 1.34117- 3 1.30000+ 1 2.50000+ 1 1.00028- 2 1.35176- 3 1.30000+ 1 2.70000+ 1 4.37194- 3 1.41363- 3 1.30000+ 1 2.90000+ 1 1.08351- 3 1.47291- 3 1.30000+ 1 3.00000+ 1 1.65915- 3 1.52473- 3 1.30000+ 1 3.20000+ 1 1.45222- 3 1.61272- 3 1.30000+ 1 3.30000+ 1 1.88407- 3 1.62040- 3 1.30000+ 1 3.50000+ 1 8.42834- 5 1.71116- 3 1.30000+ 1 3.60000+ 1 7.16627- 5 1.71200- 3 1.30000+ 1 4.10000+ 1 7.83973- 4 1.66879- 3 1.30000+ 1 4.30000+ 1 1.74948- 4 1.68619- 3 1.30000+ 1 4.40000+ 1 2.43711- 4 1.69498- 3 1.30000+ 1 4.60000+ 1 8.84940- 6 1.71409- 3 1.30000+ 1 4.70000+ 1 1.05893- 5 1.71467- 3 1.30000+ 1 5.80000+ 1 8.08013- 5 1.71313- 3 1.40000+ 1 1.60000+ 1 3.84073- 2 5.29200- 4 1.40000+ 1 1.80000+ 1 9.16150- 4 6.81200- 4 1.40000+ 1 1.90000+ 1 1.27818- 2 9.00730- 4 1.40000+ 1 2.10000+ 1 1.30955- 2 1.14755- 3 1.40000+ 1 2.20000+ 1 1.79007- 2 1.18809- 3 1.40000+ 1 2.40000+ 1 1.25859- 2 1.51367- 3 1.40000+ 1 2.50000+ 1 1.88700- 2 1.52426- 3 1.40000+ 1 2.70000+ 1 5.87312- 3 1.58613- 3 1.40000+ 1 2.90000+ 1 2.36611- 4 1.64541- 3 1.40000+ 1 3.00000+ 1 2.14589- 3 1.69723- 3 1.40000+ 1 3.20000+ 1 2.20215- 3 1.78522- 3 1.40000+ 1 3.30000+ 1 2.83803- 3 1.79290- 3 1.40000+ 1 3.50000+ 1 9.34276- 5 1.88366- 3 1.40000+ 1 3.60000+ 1 1.39409- 4 1.88450- 3 1.40000+ 1 4.10000+ 1 1.04936- 3 1.84129- 3 1.40000+ 1 4.30000+ 1 4.14899- 5 1.85869- 3 1.40000+ 1 4.40000+ 1 3.15099- 4 1.86748- 3 1.40000+ 1 4.60000+ 1 1.36371- 5 1.88659- 3 1.40000+ 1 4.70000+ 1 1.58124- 5 1.88717- 3 1.40000+ 1 5.80000+ 1 1.08073- 4 1.88563- 3 1.60000+ 1 1.60000+ 1 2.20874- 3 2.61070- 3 1.60000+ 1 1.80000+ 1 3.92358- 3 2.76270- 3 1.60000+ 1 1.90000+ 1 6.12794- 3 2.98223- 3 1.60000+ 1 2.10000+ 1 7.37985- 3 3.22905- 3 1.60000+ 1 2.20000+ 1 1.02248- 2 3.26959- 3 1.60000+ 1 2.40000+ 1 5.62364- 3 3.59517- 3 1.60000+ 1 2.50000+ 1 6.96288- 3 3.60576- 3 1.60000+ 1 2.70000+ 1 8.98887- 4 3.66763- 3 1.60000+ 1 2.90000+ 1 9.18611- 4 3.72691- 3 1.60000+ 1 3.00000+ 1 1.41158- 3 3.77873- 3 1.60000+ 1 3.20000+ 1 1.35803- 3 3.86672- 3 1.60000+ 1 3.30000+ 1 1.86482- 3 3.87440- 3 1.60000+ 1 3.50000+ 1 5.73026- 5 3.96516- 3 1.60000+ 1 3.60000+ 1 6.80391- 5 3.96600- 3 1.60000+ 1 4.10000+ 1 1.73213- 4 3.92279- 3 1.60000+ 1 4.30000+ 1 1.54937- 4 3.94019- 3 1.60000+ 1 4.40000+ 1 2.18767- 4 3.94898- 3 1.60000+ 1 4.60000+ 1 8.41402- 6 3.96809- 3 1.60000+ 1 4.70000+ 1 1.05895- 5 3.96867- 3 1.60000+ 1 5.80000+ 1 1.81347- 5 3.96713- 3 1.80000+ 1 1.80000+ 1 1.50148- 4 2.91470- 3 1.80000+ 1 1.90000+ 1 4.84389- 4 3.13423- 3 1.80000+ 1 2.10000+ 1 2.34280- 4 3.38105- 3 1.80000+ 1 2.20000+ 1 1.10251- 4 3.42159- 3 1.80000+ 1 2.40000+ 1 2.21949- 5 3.74717- 3 1.80000+ 1 2.50000+ 1 5.00206- 4 3.75776- 3 1.80000+ 1 2.70000+ 1 5.99396- 4 3.81963- 3 1.80000+ 1 2.90000+ 1 5.03384- 5 3.87891- 3 1.80000+ 1 3.00000+ 1 7.76133- 5 3.93073- 3 1.80000+ 1 3.20000+ 1 3.67024- 5 4.01872- 3 1.80000+ 1 3.30000+ 1 2.55323- 5 4.02640- 3 1.80000+ 1 3.50000+ 1 1.45072- 7 4.11716- 3 1.80000+ 1 3.60000+ 1 3.19151- 6 4.11800- 3 1.80000+ 1 4.10000+ 1 1.07503- 4 4.07479- 3 1.80000+ 1 4.30000+ 1 7.97885- 6 4.09219- 3 1.80000+ 1 4.40000+ 1 1.13148- 5 4.10098- 3 1.80000+ 1 4.60000+ 1 2.90135- 7 4.12009- 3 1.80000+ 1 4.70000+ 1 1.45072- 7 4.12067- 3 1.80000+ 1 5.80000+ 1 1.11700- 5 4.11913- 3 1.90000+ 1 1.90000+ 1 4.63501- 4 3.35376- 3 1.90000+ 1 2.10000+ 1 6.46266- 4 3.60058- 3 1.90000+ 1 2.20000+ 1 1.43935- 3 3.64112- 3 1.90000+ 1 2.40000+ 1 8.88262- 4 3.96670- 3 1.90000+ 1 2.50000+ 1 1.31725- 3 3.97729- 3 1.90000+ 1 2.70000+ 1 9.40781- 4 4.03916- 3 1.90000+ 1 2.90000+ 1 9.69087- 5 4.09844- 3 1.90000+ 1 3.00000+ 1 1.80326- 4 4.15026- 3 1.90000+ 1 3.20000+ 1 1.16207- 4 4.23825- 3 1.90000+ 1 3.30000+ 1 2.48651- 4 4.24593- 3 1.90000+ 1 3.50000+ 1 8.41399- 6 4.33669- 3 1.90000+ 1 3.60000+ 1 1.10252- 5 4.33753- 3 1.90000+ 1 4.10000+ 1 1.69155- 4 4.29432- 3 1.90000+ 1 4.30000+ 1 1.59583- 5 4.31172- 3 1.90000+ 1 4.40000+ 1 2.71283- 5 4.32051- 3 1.90000+ 1 4.60000+ 1 7.25342- 7 4.33962- 3 1.90000+ 1 4.70000+ 1 1.45074- 6 4.34020- 3 1.90000+ 1 5.80000+ 1 1.74091- 5 4.33866- 3 2.10000+ 1 2.10000+ 1 9.71954- 5 3.84740- 3 2.10000+ 1 2.20000+ 1 2.52265- 4 3.88794- 3 2.10000+ 1 2.40000+ 1 4.47538- 4 4.21352- 3 2.10000+ 1 2.50000+ 1 2.66824- 3 4.22411- 3 2.10000+ 1 2.70000+ 1 1.10241- 3 4.28598- 3 2.10000+ 1 2.90000+ 1 3.40904- 5 4.34526- 3 2.10000+ 1 3.00000+ 1 1.12579- 4 4.39708- 3 2.10000+ 1 3.20000+ 1 2.79983- 5 4.48507- 3 2.10000+ 1 3.30000+ 1 3.87337- 5 4.49275- 3 2.10000+ 1 3.50000+ 1 4.06191- 6 4.58351- 3 2.10000+ 1 3.60000+ 1 1.94383- 5 4.58435- 3 2.10000+ 1 4.10000+ 1 1.96571- 4 4.54114- 3 2.10000+ 1 4.30000+ 1 5.22258- 6 4.55854- 3 2.10000+ 1 4.40000+ 1 1.65376- 5 4.56733- 3 2.10000+ 1 4.60000+ 1 1.45072- 7 4.58644- 3 2.10000+ 1 4.70000+ 1 1.45072- 7 4.58702- 3 2.10000+ 1 5.80000+ 1 2.03106- 5 4.58548- 3 2.20000+ 1 2.20000+ 1 2.16876- 4 3.92848- 3 2.20000+ 1 2.40000+ 1 2.36190- 3 4.25406- 3 2.20000+ 1 2.50000+ 1 1.52457- 3 4.26465- 3 2.20000+ 1 2.70000+ 1 1.51948- 3 4.32652- 3 2.20000+ 1 2.90000+ 1 1.84242- 5 4.38580- 3 2.20000+ 1 3.00000+ 1 2.47052- 4 4.43762- 3 2.20000+ 1 3.20000+ 1 3.40907- 5 4.52561- 3 2.20000+ 1 3.30000+ 1 6.45584- 5 4.53329- 3 2.20000+ 1 3.50000+ 1 1.75539- 5 4.62405- 3 2.20000+ 1 3.60000+ 1 1.20404- 5 4.62489- 3 2.20000+ 1 4.10000+ 1 2.70703- 4 4.58168- 3 2.20000+ 1 4.30000+ 1 2.90137- 6 4.59908- 3 2.20000+ 1 4.40000+ 1 3.61231- 5 4.60787- 3 2.20000+ 1 4.60000+ 1 1.45073- 7 4.62698- 3 2.20000+ 1 4.70000+ 1 2.90137- 7 4.62756- 3 2.20000+ 1 5.80000+ 1 2.78537- 5 4.62602- 3 2.40000+ 1 2.40000+ 1 6.26440- 4 4.57964- 3 2.40000+ 1 2.50000+ 1 4.09242- 3 4.59023- 3 2.40000+ 1 2.70000+ 1 7.67128- 4 4.65210- 3 2.40000+ 1 2.90000+ 1 4.64230- 6 4.71138- 3 2.40000+ 1 3.00000+ 1 1.08073- 4 4.76320- 3 2.40000+ 1 3.20000+ 1 7.34084- 5 4.85119- 3 2.40000+ 1 3.30000+ 1 4.38989- 4 4.85887- 3 2.40000+ 1 3.50000+ 1 1.16057- 5 4.94963- 3 2.40000+ 1 3.60000+ 1 3.11900- 5 4.95047- 3 2.40000+ 1 4.10000+ 1 1.34622- 4 4.90726- 3 2.40000+ 1 4.30000+ 1 8.70405- 7 4.92466- 3 2.40000+ 1 4.40000+ 1 1.47972- 5 4.93345- 3 2.40000+ 1 4.60000+ 1 4.35212- 7 4.95256- 3 2.40000+ 1 4.70000+ 1 2.46623- 6 4.95314- 3 2.40000+ 1 5.80000+ 1 1.37820- 5 4.95160- 3 2.50000+ 1 2.50000+ 1 1.41678- 3 4.60082- 3 2.50000+ 1 2.70000+ 1 9.48033- 4 4.66269- 3 2.50000+ 1 2.90000+ 1 1.00680- 4 4.72197- 3 2.50000+ 1 3.00000+ 1 1.72773- 4 4.77379- 3 2.50000+ 1 3.20000+ 1 4.81641- 4 4.86178- 3 2.50000+ 1 3.30000+ 1 2.67219- 4 4.86946- 3 2.50000+ 1 3.50000+ 1 3.19158- 5 4.96022- 3 2.50000+ 1 3.60000+ 1 2.35014- 5 4.96106- 3 2.50000+ 1 4.10000+ 1 1.66248- 4 4.91785- 3 2.50000+ 1 4.30000+ 1 1.63930- 5 4.93525- 3 2.50000+ 1 4.40000+ 1 2.40819- 5 4.94404- 3 2.50000+ 1 4.60000+ 1 3.04649- 6 4.96315- 3 2.50000+ 1 4.70000+ 1 1.45075- 6 4.96373- 3 2.50000+ 1 5.80000+ 1 1.71185- 5 4.96219- 3 2.70000+ 1 2.70000+ 1 8.39918- 5 4.72456- 3 2.70000+ 1 2.90000+ 1 1.41590- 4 4.78384- 3 2.70000+ 1 3.00000+ 1 2.16727- 4 4.83566- 3 2.70000+ 1 3.20000+ 1 2.04108- 4 4.92365- 3 2.70000+ 1 3.30000+ 1 2.78963- 4 4.93133- 3 2.70000+ 1 3.50000+ 1 7.83357- 6 5.02209- 3 2.70000+ 1 3.60000+ 1 9.28413- 6 5.02293- 3 2.70000+ 1 4.10000+ 1 3.17691- 5 4.97972- 3 2.70000+ 1 4.30000+ 1 2.39357- 5 4.99712- 3 2.70000+ 1 4.40000+ 1 3.36555- 5 5.00591- 3 2.70000+ 1 4.60000+ 1 1.30559- 6 5.02502- 3 2.70000+ 1 4.70000+ 1 1.59575- 6 5.02560- 3 2.70000+ 1 5.80000+ 1 3.33647- 6 5.02406- 3 2.90000+ 1 2.90000+ 1 4.20703- 6 4.84312- 3 2.90000+ 1 3.00000+ 1 1.50880- 5 4.89494- 3 2.90000+ 1 3.20000+ 1 5.36761- 6 4.98293- 3 2.90000+ 1 3.30000+ 1 4.49720- 6 4.99061- 3 2.90000+ 1 3.60000+ 1 7.25341- 7 5.08221- 3 2.90000+ 1 4.10000+ 1 2.53876- 5 5.03900- 3 2.90000+ 1 4.30000+ 1 1.30566- 6 5.05640- 3 2.90000+ 1 4.40000+ 1 2.17607- 6 5.06519- 3 2.90000+ 1 5.80000+ 1 2.61120- 6 5.08334- 3 3.00000+ 1 3.00000+ 1 1.68279- 5 4.94676- 3 3.00000+ 1 3.20000+ 1 2.04539- 5 5.03475- 3 3.00000+ 1 3.30000+ 1 4.29389- 5 5.04243- 3 3.00000+ 1 3.50000+ 1 1.01545- 6 5.13319- 3 3.00000+ 1 3.60000+ 1 1.45068- 6 5.13403- 3 3.00000+ 1 4.10000+ 1 3.90222- 5 5.09082- 3 3.00000+ 1 4.30000+ 1 2.46613- 6 5.10822- 3 3.00000+ 1 4.40000+ 1 5.07725- 6 5.11701- 3 3.00000+ 1 4.60000+ 1 1.45068- 7 5.13612- 3 3.00000+ 1 4.70000+ 1 2.90126- 7 5.13670- 3 3.00000+ 1 5.80000+ 1 4.06179- 6 5.13516- 3 3.20000+ 1 3.20000+ 1 1.88598- 6 5.12274- 3 3.20000+ 1 3.30000+ 1 5.36755- 6 5.13042- 3 3.20000+ 1 3.50000+ 1 7.25333- 7 5.22118- 3 3.20000+ 1 3.60000+ 1 3.62677- 6 5.22202- 3 3.20000+ 1 4.10000+ 1 3.64116- 5 5.17881- 3 3.20000+ 1 4.30000+ 1 8.70395- 7 5.19621- 3 3.20000+ 1 4.40000+ 1 3.04643- 6 5.20500- 3 3.20000+ 1 5.80000+ 1 3.77174- 6 5.22315- 3 3.30000+ 1 3.30000+ 1 4.64232- 6 5.13810- 3 3.30000+ 1 3.50000+ 1 3.33665- 6 5.22886- 3 3.30000+ 1 3.60000+ 1 2.17607- 6 5.22970- 3 3.30000+ 1 4.10000+ 1 4.97605- 5 5.18649- 3 3.30000+ 1 4.30000+ 1 7.25343- 7 5.20389- 3 3.30000+ 1 4.40000+ 1 6.23834- 6 5.21268- 3 3.30000+ 1 5.80000+ 1 5.07747- 6 5.23083- 3 3.50000+ 1 3.60000+ 1 2.90130- 7 5.32046- 3 3.50000+ 1 4.10000+ 1 1.30562- 6 5.27725- 3 3.50000+ 1 4.40000+ 1 1.45070- 7 5.30344- 3 3.50000+ 1 5.80000+ 1 1.45070- 7 5.32159- 3 3.60000+ 1 4.10000+ 1 1.59586- 6 5.27809- 3 3.60000+ 1 4.30000+ 1 1.45077- 7 5.29549- 3 3.60000+ 1 4.40000+ 1 1.45077- 7 5.30428- 3 3.60000+ 1 5.80000+ 1 1.45077- 7 5.32243- 3 4.10000+ 1 4.10000+ 1 3.04398- 6 5.23488- 3 4.10000+ 1 4.30000+ 1 4.34858- 6 5.25228- 3 4.10000+ 1 4.40000+ 1 6.08778- 6 5.26107- 3 4.10000+ 1 4.60000+ 1 2.89901- 7 5.28018- 3 4.10000+ 1 4.70000+ 1 2.89901- 7 5.28076- 3 4.10000+ 1 5.80000+ 1 5.79794- 7 5.27922- 3 4.30000+ 1 4.30000+ 1 1.73086- 7 5.26968- 3 4.30000+ 1 4.40000+ 1 3.46161- 7 5.27847- 3 4.30000+ 1 5.80000+ 1 5.19248- 7 5.29662- 3 4.40000+ 1 4.40000+ 1 4.35219- 7 5.28726- 3 4.40000+ 1 5.80000+ 1 5.80276- 7 5.30541- 3 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.75569- 3 1.38570- 3 1.60000+ 1 9.85355- 4 3.63970- 3 2.10000+ 1 4.93428- 3 4.25805- 3 2.70000+ 1 2.53159- 4 4.69663- 3 3.20000+ 1 1.14289- 3 4.89572- 3 4.10000+ 1 5.29237- 5 4.95179- 3 5.80000+ 1 5.74647- 6 4.99613- 3 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 7.80107- 3 9.86500- 5 1.10000+ 1 2.20000+ 1 1.70326- 2 1.39190- 4 1.10000+ 1 2.40000+ 1 2.84856- 2 4.64770- 4 1.10000+ 1 2.50000+ 1 2.36430- 2 4.75360- 4 1.10000+ 1 2.70000+ 1 3.11991- 3 5.37230- 4 1.10000+ 1 2.90000+ 1 4.45026- 3 5.96510- 4 1.10000+ 1 3.00000+ 1 1.97274- 3 6.48330- 4 1.10000+ 1 3.20000+ 1 1.74973- 3 7.36320- 4 1.10000+ 1 3.30000+ 1 3.16422- 3 7.44000- 4 1.10000+ 1 3.50000+ 1 2.39436- 4 8.34760- 4 1.10000+ 1 3.60000+ 1 1.94277- 4 8.35600- 4 1.10000+ 1 4.10000+ 1 5.78877- 4 7.92390- 4 1.10000+ 1 4.30000+ 1 6.72137- 4 8.09790- 4 1.10000+ 1 4.40000+ 1 2.88039- 4 8.18580- 4 1.10000+ 1 4.60000+ 1 1.10025- 5 8.37690- 4 1.10000+ 1 4.70000+ 1 1.77359- 5 8.38270- 4 1.10000+ 1 5.80000+ 1 5.99402- 5 8.36730- 4 1.30000+ 1 1.60000+ 1 4.75832- 2 2.36000- 5 1.30000+ 1 1.80000+ 1 4.92868- 2 1.75600- 4 1.30000+ 1 1.90000+ 1 3.45844- 2 3.95130- 4 1.30000+ 1 2.10000+ 1 1.66848- 2 6.41950- 4 1.30000+ 1 2.20000+ 1 2.54566- 2 6.82490- 4 1.30000+ 1 2.40000+ 1 1.49248- 1 1.00807- 3 1.30000+ 1 2.50000+ 1 2.34013- 1 1.01866- 3 1.30000+ 1 2.70000+ 1 1.15777- 2 1.08053- 3 1.30000+ 1 2.90000+ 1 9.47419- 3 1.13981- 3 1.30000+ 1 3.00000+ 1 7.64730- 3 1.19163- 3 1.30000+ 1 3.20000+ 1 3.27085- 3 1.27962- 3 1.30000+ 1 3.30000+ 1 4.98089- 3 1.28730- 3 1.30000+ 1 3.50000+ 1 1.11866- 3 1.37806- 3 1.30000+ 1 3.60000+ 1 1.76510- 3 1.37890- 3 1.30000+ 1 4.10000+ 1 2.26747- 3 1.33569- 3 1.30000+ 1 4.30000+ 1 1.54092- 3 1.35309- 3 1.30000+ 1 4.40000+ 1 1.17365- 3 1.36188- 3 1.30000+ 1 4.60000+ 1 2.08564- 5 1.38099- 3 1.30000+ 1 4.70000+ 1 2.85748- 5 1.38157- 3 1.30000+ 1 5.80000+ 1 2.33529- 4 1.38003- 3 1.40000+ 1 1.60000+ 1 7.27540- 3 1.96100- 4 1.40000+ 1 1.80000+ 1 5.58280- 2 3.48100- 4 1.40000+ 1 1.90000+ 1 4.54382- 3 5.67630- 4 1.40000+ 1 2.10000+ 1 1.65985- 3 8.14450- 4 1.40000+ 1 2.20000+ 1 2.70484- 3 8.54990- 4 1.40000+ 1 2.40000+ 1 7.67790- 3 1.18057- 3 1.40000+ 1 2.50000+ 1 4.67193- 3 1.19116- 3 1.40000+ 1 2.70000+ 1 1.18009- 3 1.25303- 3 1.40000+ 1 2.90000+ 1 8.17946- 3 1.31231- 3 1.40000+ 1 3.00000+ 1 8.59524- 4 1.36413- 3 1.40000+ 1 3.20000+ 1 1.30065- 4 1.45212- 3 1.40000+ 1 3.30000+ 1 4.49476- 4 1.45980- 3 1.40000+ 1 3.50000+ 1 8.29285- 5 1.55056- 3 1.40000+ 1 3.60000+ 1 3.97409- 5 1.55140- 3 1.40000+ 1 4.10000+ 1 2.14300- 4 1.50819- 3 1.40000+ 1 4.30000+ 1 1.25464- 3 1.52559- 3 1.40000+ 1 4.40000+ 1 1.28254- 4 1.53438- 3 1.40000+ 1 4.60000+ 1 6.56859- 7 1.55349- 3 1.40000+ 1 4.70000+ 1 2.46335- 6 1.55407- 3 1.40000+ 1 5.80000+ 1 2.21692- 5 1.55253- 3 1.60000+ 1 1.60000+ 1 5.43160- 4 2.27760- 3 1.60000+ 1 1.80000+ 1 8.44371- 3 2.42960- 3 1.60000+ 1 1.90000+ 1 1.04733- 3 2.64913- 3 1.60000+ 1 2.10000+ 1 3.32357- 4 2.89595- 3 1.60000+ 1 2.20000+ 1 9.63762- 4 2.93649- 3 1.60000+ 1 2.40000+ 1 6.32734- 5 3.26207- 3 1.60000+ 1 2.50000+ 1 7.08663- 4 3.27266- 3 1.60000+ 1 2.70000+ 1 2.05801- 4 3.33453- 3 1.60000+ 1 2.90000+ 1 1.22219- 3 3.39381- 3 1.60000+ 1 3.00000+ 1 2.16786- 4 3.44563- 3 1.60000+ 1 3.20000+ 1 4.12945- 5 3.53362- 3 1.60000+ 1 3.30000+ 1 1.57521- 4 3.54130- 3 1.60000+ 1 3.50000+ 1 6.66041- 7 3.63206- 3 1.60000+ 1 3.60000+ 1 4.66227- 6 3.63290- 3 1.60000+ 1 4.10000+ 1 3.86295- 5 3.58969- 3 1.60000+ 1 4.30000+ 1 1.88156- 4 3.60709- 3 1.60000+ 1 4.40000+ 1 3.26354- 5 3.61588- 3 1.60000+ 1 4.60000+ 1 3.33011- 7 3.63499- 3 1.60000+ 1 4.70000+ 1 9.99054- 7 3.63557- 3 1.60000+ 1 5.80000+ 1 3.99629- 6 3.63403- 3 1.80000+ 1 1.80000+ 1 6.61550- 3 2.58160- 3 1.80000+ 1 1.90000+ 1 1.76647- 2 2.80113- 3 1.80000+ 1 2.10000+ 1 1.80098- 2 3.04795- 3 1.80000+ 1 2.20000+ 1 2.81212- 2 3.08849- 3 1.80000+ 1 2.40000+ 1 1.13200- 2 3.41407- 3 1.80000+ 1 2.50000+ 1 1.84858- 2 3.42466- 3 1.80000+ 1 2.70000+ 1 2.10161- 3 3.48653- 3 1.80000+ 1 2.90000+ 1 2.54818- 3 3.54581- 3 1.80000+ 1 3.00000+ 1 4.03038- 3 3.59763- 3 1.80000+ 1 3.20000+ 1 3.32911- 3 3.68562- 3 1.80000+ 1 3.30000+ 1 5.07690- 3 3.69330- 3 1.80000+ 1 3.50000+ 1 1.15887- 4 3.78406- 3 1.80000+ 1 3.60000+ 1 1.79155- 4 3.78490- 3 1.80000+ 1 4.10000+ 1 4.17592- 4 3.74169- 3 1.80000+ 1 4.30000+ 1 4.17264- 4 3.75909- 3 1.80000+ 1 4.40000+ 1 6.23403- 4 3.76788- 3 1.80000+ 1 4.60000+ 1 2.06468- 5 3.78699- 3 1.80000+ 1 4.70000+ 1 2.86379- 5 3.78757- 3 1.80000+ 1 5.80000+ 1 4.36255- 5 3.78603- 3 1.90000+ 1 1.90000+ 1 4.45236- 4 3.02066- 3 1.90000+ 1 2.10000+ 1 1.03465- 3 3.26748- 3 1.90000+ 1 2.20000+ 1 9.68385- 4 3.30802- 3 1.90000+ 1 2.40000+ 1 7.32141- 3 3.63360- 3 1.90000+ 1 2.50000+ 1 2.03228- 3 3.64419- 3 1.90000+ 1 2.70000+ 1 1.64836- 4 3.70606- 3 1.90000+ 1 2.90000+ 1 2.60745- 3 3.76534- 3 1.90000+ 1 3.00000+ 1 1.71163- 4 3.81716- 3 1.90000+ 1 3.20000+ 1 1.48520- 4 3.90515- 3 1.90000+ 1 3.30000+ 1 1.57516- 4 3.91283- 3 1.90000+ 1 3.50000+ 1 6.29383- 5 4.00359- 3 1.90000+ 1 3.60000+ 1 1.73168- 5 4.00443- 3 1.90000+ 1 4.10000+ 1 2.99710- 5 3.96122- 3 1.90000+ 1 4.30000+ 1 4.02616- 4 3.97862- 3 1.90000+ 1 4.40000+ 1 2.56415- 5 3.98741- 3 1.90000+ 1 4.60000+ 1 9.99019- 7 4.00652- 3 1.90000+ 1 4.70000+ 1 9.99019- 7 4.00710- 3 1.90000+ 1 5.80000+ 1 2.99710- 6 4.00556- 3 2.10000+ 1 2.10000+ 1 6.75684- 4 3.51430- 3 2.10000+ 1 2.20000+ 1 1.27646- 3 3.55484- 3 2.10000+ 1 2.40000+ 1 7.44282- 4 3.88042- 3 2.10000+ 1 2.50000+ 1 1.04432- 3 3.89101- 3 2.10000+ 1 2.70000+ 1 7.99219- 5 3.95288- 3 2.10000+ 1 2.90000+ 1 2.57620- 3 4.01216- 3 2.10000+ 1 3.00000+ 1 2.19456- 4 4.06398- 3 2.10000+ 1 3.20000+ 1 2.02139- 4 4.15197- 3 2.10000+ 1 3.30000+ 1 2.11144- 4 4.15965- 3 2.10000+ 1 3.50000+ 1 4.32908- 6 4.25041- 3 2.10000+ 1 3.60000+ 1 7.65929- 6 4.25125- 3 2.10000+ 1 4.10000+ 1 1.59843- 5 4.20804- 3 2.10000+ 1 4.30000+ 1 3.94617- 4 4.22544- 3 2.10000+ 1 4.40000+ 1 3.36350- 5 4.23423- 3 2.10000+ 1 4.60000+ 1 1.33200- 6 4.25334- 3 2.10000+ 1 4.70000+ 1 1.33200- 6 4.25392- 3 2.10000+ 1 5.80000+ 1 1.66500- 6 4.25238- 3 2.20000+ 1 2.20000+ 1 3.51323- 4 3.59538- 3 2.20000+ 1 2.40000+ 1 1.67101- 3 3.92096- 3 2.20000+ 1 2.50000+ 1 4.23924- 4 3.93155- 3 2.20000+ 1 2.70000+ 1 1.88478- 4 3.99342- 3 2.20000+ 1 2.90000+ 1 4.06933- 3 4.05270- 3 2.20000+ 1 3.00000+ 1 1.68840- 4 4.10452- 3 2.20000+ 1 3.20000+ 1 1.80812- 4 4.19251- 3 2.20000+ 1 3.30000+ 1 1.06896- 4 4.20019- 3 2.20000+ 1 3.50000+ 1 7.99222- 6 4.29095- 3 2.20000+ 1 3.60000+ 1 2.66407- 6 4.29179- 3 2.20000+ 1 4.10000+ 1 3.56307- 5 4.24858- 3 2.20000+ 1 4.30000+ 1 6.25062- 4 4.26598- 3 2.20000+ 1 4.40000+ 1 2.49744- 5 4.27477- 3 2.20000+ 1 4.60000+ 1 9.99033- 7 4.29388- 3 2.20000+ 1 4.70000+ 1 6.66027- 7 4.29446- 3 2.20000+ 1 5.80000+ 1 3.66312- 6 4.29292- 3 2.40000+ 1 2.40000+ 1 2.96500- 3 4.24654- 3 2.40000+ 1 2.50000+ 1 1.89062- 2 4.25713- 3 2.40000+ 1 2.70000+ 1 1.03235- 5 4.31900- 3 2.40000+ 1 2.90000+ 1 1.49163- 3 4.37828- 3 2.40000+ 1 3.00000+ 1 1.56714- 3 4.43010- 3 2.40000+ 1 3.20000+ 1 1.48855- 4 4.51809- 3 2.40000+ 1 3.30000+ 1 3.65990- 4 4.52577- 3 2.40000+ 1 3.50000+ 1 5.06172- 5 4.61653- 3 2.40000+ 1 3.60000+ 1 1.52528- 4 4.61737- 3 2.40000+ 1 4.10000+ 1 1.99814- 6 4.57416- 3 2.40000+ 1 4.30000+ 1 2.26773- 4 4.59156- 3 2.40000+ 1 4.40000+ 1 2.39434- 4 4.60035- 3 2.40000+ 1 4.60000+ 1 9.99048- 7 4.61946- 3 2.40000+ 1 4.70000+ 1 1.99814- 6 4.62004- 3 2.40000+ 1 5.80000+ 1 3.33009- 7 4.61850- 3 2.50000+ 1 2.50000+ 1 9.85048- 4 4.26772- 3 2.50000+ 1 2.70000+ 1 1.42857- 4 4.32959- 3 2.50000+ 1 2.90000+ 1 2.36937- 3 4.38887- 3 2.50000+ 1 3.00000+ 1 3.84960- 4 4.44069- 3 2.50000+ 1 3.20000+ 1 2.02469- 4 4.52868- 3 2.50000+ 1 3.30000+ 1 8.12560- 5 4.53636- 3 2.50000+ 1 3.50000+ 1 1.56185- 4 4.62712- 3 2.50000+ 1 3.60000+ 1 1.59845- 5 4.62796- 3 2.50000+ 1 4.10000+ 1 2.69738- 5 4.58475- 3 2.50000+ 1 4.30000+ 1 3.55327- 4 4.60215- 3 2.50000+ 1 4.40000+ 1 5.76132- 5 4.61094- 3 2.50000+ 1 4.60000+ 1 1.33201- 6 4.63005- 3 2.50000+ 1 4.70000+ 1 3.33006- 7 4.63063- 3 2.50000+ 1 5.80000+ 1 2.66408- 6 4.62909- 3 2.70000+ 1 2.70000+ 1 1.93139- 5 4.39146- 3 2.70000+ 1 2.90000+ 1 3.06051- 4 4.45074- 3 2.70000+ 1 3.00000+ 1 3.39668- 5 4.50256- 3 2.70000+ 1 3.20000+ 1 9.32453- 6 4.59055- 3 2.70000+ 1 3.30000+ 1 3.13036- 5 4.59823- 3 2.70000+ 1 3.60000+ 1 9.99050- 7 4.68983- 3 2.70000+ 1 4.10000+ 1 7.32637- 6 4.64662- 3 2.70000+ 1 4.30000+ 1 4.72885- 5 4.66402- 3 2.70000+ 1 4.40000+ 1 4.99536- 6 4.67281- 3 2.70000+ 1 4.70000+ 1 3.33010- 7 4.69250- 3 2.70000+ 1 5.80000+ 1 6.66039- 7 4.69096- 3 2.90000+ 1 2.90000+ 1 2.29120- 4 4.51002- 3 2.90000+ 1 3.00000+ 1 5.99446- 4 4.56184- 3 2.90000+ 1 3.20000+ 1 4.78890- 4 4.64983- 3 2.90000+ 1 3.30000+ 1 7.39630- 4 4.65751- 3 2.90000+ 1 3.50000+ 1 1.53190- 5 4.74827- 3 2.90000+ 1 3.60000+ 1 2.33123- 5 4.74911- 3 2.90000+ 1 4.10000+ 1 6.09434- 5 4.70590- 3 2.90000+ 1 4.30000+ 1 7.42631- 5 4.72330- 3 2.90000+ 1 4.40000+ 1 9.29112- 5 4.73209- 3 2.90000+ 1 4.60000+ 1 2.99722- 6 4.75120- 3 2.90000+ 1 4.70000+ 1 4.32921- 6 4.75178- 3 2.90000+ 1 5.80000+ 1 6.32736- 6 4.75024- 3 3.00000+ 1 3.00000+ 1 1.63171- 5 4.61366- 3 3.00000+ 1 3.20000+ 1 3.16355- 5 4.70165- 3 3.00000+ 1 3.30000+ 1 2.76389- 5 4.70933- 3 3.00000+ 1 3.50000+ 1 1.36527- 5 4.80009- 3 3.00000+ 1 3.60000+ 1 3.32999- 6 4.80093- 3 3.00000+ 1 4.10000+ 1 5.99422- 6 4.75772- 3 3.00000+ 1 4.30000+ 1 9.25765- 5 4.77512- 3 3.00000+ 1 4.40000+ 1 4.99520- 6 4.78391- 3 3.00000+ 1 4.60000+ 1 3.32999- 7 4.80302- 3 3.00000+ 1 5.80000+ 1 6.66017- 7 4.80206- 3 3.20000+ 1 3.20000+ 1 1.46532- 5 4.78964- 3 3.20000+ 1 3.30000+ 1 3.23025- 5 4.79732- 3 3.20000+ 1 3.50000+ 1 9.99056- 7 4.88808- 3 3.20000+ 1 3.60000+ 1 1.66505- 6 4.88892- 3 3.20000+ 1 4.10000+ 1 1.99815- 6 4.84571- 3 3.20000+ 1 4.30000+ 1 7.35970- 5 4.86311- 3 3.20000+ 1 4.40000+ 1 4.99538- 6 4.87190- 3 3.20000+ 1 4.60000+ 1 3.33012- 7 4.89101- 3 3.20000+ 1 4.70000+ 1 3.33012- 7 4.89159- 3 3.20000+ 1 5.80000+ 1 3.33012- 7 4.89005- 3 3.30000+ 1 3.30000+ 1 8.62675- 6 4.80500- 3 3.30000+ 1 3.50000+ 1 2.07046- 6 4.89576- 3 3.30000+ 1 3.60000+ 1 6.90143- 7 4.89660- 3 3.30000+ 1 4.10000+ 1 6.21136- 6 4.85339- 3 3.30000+ 1 4.30000+ 1 1.18014- 4 4.87079- 3 3.30000+ 1 4.40000+ 1 4.14090- 6 4.87958- 3 3.30000+ 1 4.60000+ 1 3.45062- 7 4.89869- 3 3.30000+ 1 5.80000+ 1 6.90143- 7 4.89773- 3 3.50000+ 1 3.60000+ 1 1.33200- 6 4.98736- 3 3.50000+ 1 4.30000+ 1 2.33117- 6 4.96155- 3 3.50000+ 1 4.40000+ 1 1.99810- 6 4.97034- 3 3.60000+ 1 4.10000+ 1 3.33007- 7 4.94499- 3 3.60000+ 1 4.30000+ 1 3.33007- 6 4.96239- 3 3.60000+ 1 4.40000+ 1 3.33007- 7 4.97118- 3 4.10000+ 1 4.10000+ 1 6.91573- 7 4.90178- 3 4.10000+ 1 4.30000+ 1 9.68202- 6 4.91918- 3 4.10000+ 1 4.40000+ 1 1.03735- 6 4.92797- 3 4.30000+ 1 4.30000+ 1 5.99447- 6 4.93658- 3 4.30000+ 1 4.40000+ 1 1.43203- 5 4.94537- 3 4.30000+ 1 4.60000+ 1 3.33013- 7 4.96448- 3 4.30000+ 1 4.70000+ 1 6.66045- 7 4.96506- 3 4.30000+ 1 5.80000+ 1 9.99059- 7 4.96352- 3 4.40000+ 1 4.40000+ 1 3.33008- 7 4.95416- 3 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.38089- 5 5.43300- 4 1.40000+ 1 3.05289- 4 7.15800- 4 1.60000+ 1 2.04409- 3 2.79730- 3 2.10000+ 1 9.63866- 4 3.41565- 3 2.20000+ 1 7.25087- 3 3.45619- 3 2.70000+ 1 5.00968- 4 3.85423- 3 3.20000+ 1 1.99489- 4 4.05332- 3 3.30000+ 1 1.53149- 3 4.06100- 3 4.10000+ 1 9.54936- 5 4.10939- 3 5.80000+ 1 1.26139- 5 4.15373- 3 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 1.65919- 2 1.65670- 4 1.30000+ 1 2.50000+ 1 2.41492- 2 1.76260- 4 1.30000+ 1 2.70000+ 1 3.48356- 3 2.38130- 4 1.30000+ 1 2.90000+ 1 3.30987- 3 2.97410- 4 1.30000+ 1 3.00000+ 1 9.80486- 3 3.49230- 4 1.30000+ 1 3.20000+ 1 1.86337- 3 4.37220- 4 1.30000+ 1 3.30000+ 1 2.06807- 3 4.44900- 4 1.30000+ 1 3.50000+ 1 9.84656- 5 5.35660- 4 1.30000+ 1 3.60000+ 1 1.61169- 4 5.36500- 4 1.30000+ 1 4.10000+ 1 6.56311- 4 4.93290- 4 1.30000+ 1 4.30000+ 1 5.33755- 4 5.10690- 4 1.30000+ 1 4.40000+ 1 1.42270- 3 5.19480- 4 1.30000+ 1 4.60000+ 1 1.14384- 5 5.38590- 4 1.30000+ 1 4.70000+ 1 1.16434- 5 5.39170- 4 1.30000+ 1 5.80000+ 1 6.74080- 5 5.37630- 4 1.40000+ 1 2.20000+ 1 6.85628- 2 1.25900- 5 1.40000+ 1 2.40000+ 1 2.07318- 1 3.38170- 4 1.40000+ 1 2.50000+ 1 2.50219- 1 3.48760- 4 1.40000+ 1 2.70000+ 1 2.10922- 2 4.10630- 4 1.40000+ 1 2.90000+ 1 2.21795- 2 4.69910- 4 1.40000+ 1 3.00000+ 1 2.37531- 2 5.21730- 4 1.40000+ 1 3.20000+ 1 7.75607- 3 6.09720- 4 1.40000+ 1 3.30000+ 1 1.13394- 2 6.17400- 4 1.40000+ 1 3.50000+ 1 1.28774- 3 7.08160- 4 1.40000+ 1 3.60000+ 1 1.44051- 3 7.09000- 4 1.40000+ 1 4.10000+ 1 4.08157- 3 6.65790- 4 1.40000+ 1 4.30000+ 1 3.58915- 3 6.83190- 4 1.40000+ 1 4.40000+ 1 3.53653- 3 6.91980- 4 1.40000+ 1 4.60000+ 1 4.65727- 5 7.11090- 4 1.40000+ 1 4.70000+ 1 6.25061- 5 7.11670- 4 1.40000+ 1 5.80000+ 1 4.33246- 4 7.10130- 4 1.60000+ 1 1.60000+ 1 1.30699- 4 1.43520- 3 1.60000+ 1 1.80000+ 1 4.33867- 4 1.58720- 3 1.60000+ 1 1.90000+ 1 1.04782- 2 1.80673- 3 1.60000+ 1 2.10000+ 1 6.58523- 4 2.05355- 3 1.60000+ 1 2.20000+ 1 8.59070- 4 2.09409- 3 1.60000+ 1 2.40000+ 1 2.33213- 3 2.41967- 3 1.60000+ 1 2.50000+ 1 4.23304- 3 2.43026- 3 1.60000+ 1 2.70000+ 1 5.32877- 5 2.49213- 3 1.60000+ 1 2.90000+ 1 6.04885- 5 2.55141- 3 1.60000+ 1 3.00000+ 1 1.50605- 3 2.60323- 3 1.60000+ 1 3.20000+ 1 1.02976- 4 2.69122- 3 1.60000+ 1 3.30000+ 1 1.30699- 4 2.69890- 3 1.60000+ 1 3.50000+ 1 1.69226- 5 2.78966- 3 1.60000+ 1 3.60000+ 1 2.95240- 5 2.79050- 3 1.60000+ 1 4.10000+ 1 1.00814- 5 2.74729- 3 1.60000+ 1 4.30000+ 1 9.00125- 6 2.76469- 3 1.60000+ 1 4.40000+ 1 2.13864- 4 2.77348- 3 1.60000+ 1 4.60000+ 1 7.20090- 7 2.79259- 3 1.60000+ 1 4.70000+ 1 7.20090- 7 2.79317- 3 1.60000+ 1 5.80000+ 1 1.08015- 6 2.79163- 3 1.80000+ 1 1.80000+ 1 7.20065- 7 1.73920- 3 1.80000+ 1 1.90000+ 1 1.32578- 2 1.95873- 3 1.80000+ 1 2.10000+ 1 3.02792- 4 2.20555- 3 1.80000+ 1 2.20000+ 1 3.03864- 3 2.24609- 3 1.80000+ 1 2.40000+ 1 1.63388- 3 2.57167- 3 1.80000+ 1 2.50000+ 1 8.24094- 3 2.58226- 3 1.80000+ 1 2.70000+ 1 8.49687- 5 2.64413- 3 1.80000+ 1 2.90000+ 1 1.80012- 6 2.70341- 3 1.80000+ 1 3.00000+ 1 1.95824- 3 2.75523- 3 1.80000+ 1 3.20000+ 1 5.50845- 5 2.84322- 3 1.80000+ 1 3.30000+ 1 4.43572- 4 2.85090- 3 1.80000+ 1 3.50000+ 1 1.11611- 5 2.94166- 3 1.80000+ 1 3.60000+ 1 5.76056- 5 2.94250- 3 1.80000+ 1 4.10000+ 1 1.58429- 5 2.89929- 3 1.80000+ 1 4.30000+ 1 3.60041- 7 2.91669- 3 1.80000+ 1 4.40000+ 1 2.79754- 4 2.92548- 3 1.80000+ 1 4.60000+ 1 3.60041- 7 2.94459- 3 1.80000+ 1 4.70000+ 1 2.52017- 6 2.94517- 3 1.80000+ 1 5.80000+ 1 1.80012- 6 2.94363- 3 1.90000+ 1 1.90000+ 1 1.67741- 2 2.17826- 3 1.90000+ 1 2.10000+ 1 2.50310- 2 2.42508- 3 1.90000+ 1 2.20000+ 1 3.24095- 2 2.46562- 3 1.90000+ 1 2.40000+ 1 2.36626- 2 2.79120- 3 1.90000+ 1 2.50000+ 1 2.69935- 2 2.80179- 3 1.90000+ 1 2.70000+ 1 2.56816- 3 2.86366- 3 1.90000+ 1 2.90000+ 1 3.01470- 3 2.92294- 3 1.90000+ 1 3.00000+ 1 6.25212- 3 2.97476- 3 1.90000+ 1 3.20000+ 1 4.44887- 3 3.06275- 3 1.90000+ 1 3.30000+ 1 5.76609- 3 3.07043- 3 1.90000+ 1 3.50000+ 1 2.26829- 4 3.16119- 3 1.90000+ 1 3.60000+ 1 2.48076- 4 3.16203- 3 1.90000+ 1 4.10000+ 1 5.08016- 4 3.11882- 3 1.90000+ 1 4.30000+ 1 5.05154- 4 3.13622- 3 1.90000+ 1 4.40000+ 1 9.37199- 4 3.14501- 3 1.90000+ 1 4.60000+ 1 2.77237- 5 3.16412- 3 1.90000+ 1 4.70000+ 1 3.24049- 5 3.16470- 3 1.90000+ 1 5.80000+ 1 5.32876- 5 3.16316- 3 2.10000+ 1 2.10000+ 1 1.74256- 4 2.67190- 3 2.10000+ 1 2.20000+ 1 4.20698- 3 2.71244- 3 2.10000+ 1 2.40000+ 1 6.80106- 4 3.03802- 3 2.10000+ 1 2.50000+ 1 7.72452- 3 3.04861- 3 2.10000+ 1 2.70000+ 1 8.35275- 5 3.11048- 3 2.10000+ 1 2.90000+ 1 1.72816- 5 3.16976- 3 2.10000+ 1 3.00000+ 1 3.60635- 3 3.22158- 3 2.10000+ 1 3.20000+ 1 5.07642- 5 3.30957- 3 2.10000+ 1 3.30000+ 1 6.53089- 4 3.31725- 3 2.10000+ 1 3.50000+ 1 5.04044- 6 3.40801- 3 2.10000+ 1 3.60000+ 1 4.53624- 5 3.40885- 3 2.10000+ 1 4.10000+ 1 1.47607- 5 3.36564- 3 2.10000+ 1 4.30000+ 1 2.52014- 6 3.38304- 3 2.10000+ 1 4.40000+ 1 5.11975- 4 3.39183- 3 2.10000+ 1 4.60000+ 1 3.60037- 7 3.41094- 3 2.10000+ 1 4.70000+ 1 3.60037- 6 3.41152- 3 2.10000+ 1 5.80000+ 1 1.44008- 6 3.40998- 3 2.20000+ 1 2.20000+ 1 1.80172- 3 2.75298- 3 2.20000+ 1 2.40000+ 1 6.15463- 3 3.07856- 3 2.20000+ 1 2.50000+ 1 5.04498- 3 3.08915- 3 2.20000+ 1 2.70000+ 1 1.17735- 4 3.15102- 3 2.20000+ 1 2.90000+ 1 3.08927- 4 3.21030- 3 2.20000+ 1 3.00000+ 1 4.60580- 3 3.26212- 3 2.20000+ 1 3.20000+ 1 6.41595- 4 3.35011- 3 2.20000+ 1 3.30000+ 1 5.63846- 4 3.35779- 3 2.20000+ 1 3.50000+ 1 4.64454- 5 3.44855- 3 2.20000+ 1 3.60000+ 1 3.56442- 5 3.44939- 3 2.20000+ 1 4.10000+ 1 2.08828- 5 3.40618- 3 2.20000+ 1 4.30000+ 1 4.42854- 5 3.42358- 3 2.20000+ 1 4.40000+ 1 6.52050- 4 3.43237- 3 2.20000+ 1 4.60000+ 1 3.96058- 6 3.45148- 3 2.20000+ 1 4.70000+ 1 3.24051- 6 3.45206- 3 2.20000+ 1 5.80000+ 1 2.16023- 6 3.45052- 3 2.40000+ 1 2.40000+ 1 1.05419- 3 3.40414- 3 2.40000+ 1 2.50000+ 1 2.72962- 2 3.41473- 3 2.40000+ 1 2.70000+ 1 2.57792- 4 3.47660- 3 2.40000+ 1 2.90000+ 1 3.00638- 4 3.53588- 3 2.40000+ 1 3.00000+ 1 3.24303- 3 3.58770- 3 2.40000+ 1 3.20000+ 1 1.40056- 4 3.67569- 3 2.40000+ 1 3.30000+ 1 1.02288- 3 3.68337- 3 2.40000+ 1 3.50000+ 1 1.76418- 5 3.77413- 3 2.40000+ 1 3.60000+ 1 2.04139- 4 3.77497- 3 2.40000+ 1 4.10000+ 1 4.46442- 5 3.73176- 3 2.40000+ 1 4.30000+ 1 4.82445- 5 3.74916- 3 2.40000+ 1 4.40000+ 1 4.57264- 4 3.75795- 3 2.40000+ 1 4.60000+ 1 7.20075- 7 3.77706- 3 2.40000+ 1 4.70000+ 1 5.76064- 6 3.77764- 3 2.40000+ 1 5.80000+ 1 4.68055- 6 3.77610- 3 2.50000+ 1 2.50000+ 1 1.08495- 2 3.42532- 3 2.50000+ 1 2.70000+ 1 4.39252- 4 3.48719- 3 2.50000+ 1 2.90000+ 1 1.49157- 3 3.54647- 3 2.50000+ 1 3.00000+ 1 3.86856- 3 3.59829- 3 2.50000+ 1 3.20000+ 1 1.35343- 3 3.68628- 3 2.50000+ 1 3.30000+ 1 9.15209- 4 3.69396- 3 2.50000+ 1 3.50000+ 1 2.07747- 4 3.78472- 3 2.50000+ 1 3.60000+ 1 1.64535- 4 3.78556- 3 2.50000+ 1 4.10000+ 1 7.38075- 5 3.74235- 3 2.50000+ 1 4.30000+ 1 2.40136- 4 3.75975- 3 2.50000+ 1 4.40000+ 1 5.52293- 4 3.76854- 3 2.50000+ 1 4.60000+ 1 8.28082- 6 3.78765- 3 2.50000+ 1 4.70000+ 1 5.04046- 6 3.78823- 3 2.50000+ 1 5.80000+ 1 7.56061- 6 3.78669- 3 2.70000+ 1 2.70000+ 1 6.12066- 6 3.54906- 3 2.70000+ 1 2.90000+ 1 1.29614- 5 3.60834- 3 2.70000+ 1 3.00000+ 1 3.71205- 4 3.66016- 3 2.70000+ 1 3.20000+ 1 1.44012- 5 3.74815- 3 2.70000+ 1 3.30000+ 1 1.90822- 5 3.75583- 3 2.70000+ 1 3.50000+ 1 1.80015- 6 3.84659- 3 2.70000+ 1 3.60000+ 1 2.88039- 6 3.84743- 3 2.70000+ 1 4.10000+ 1 2.52020- 6 3.80422- 3 2.70000+ 1 4.30000+ 1 2.16018- 6 3.82162- 3 2.70000+ 1 4.40000+ 1 5.29268- 5 3.83041- 3 2.70000+ 1 5.80000+ 1 3.60046- 7 3.84856- 3 2.90000+ 1 3.00000+ 1 4.47882- 4 3.71944- 3 2.90000+ 1 3.20000+ 1 2.88041- 6 3.80743- 3 2.90000+ 1 3.30000+ 1 4.78849- 5 3.81511- 3 2.90000+ 1 3.50000+ 1 2.52022- 6 3.90587- 3 2.90000+ 1 3.60000+ 1 1.15213- 5 3.90671- 3 2.90000+ 1 4.10000+ 1 2.52022- 6 3.86350- 3 2.90000+ 1 4.40000+ 1 6.40879- 5 3.88969- 3 2.90000+ 1 4.70000+ 1 3.60048- 7 3.90938- 3 2.90000+ 1 5.80000+ 1 3.60048- 7 3.90784- 3 3.00000+ 1 3.00000+ 1 5.52318- 4 3.77126- 3 3.00000+ 1 3.20000+ 1 6.44486- 4 3.85925- 3 3.00000+ 1 3.30000+ 1 8.22715- 4 3.86693- 3 3.00000+ 1 3.50000+ 1 3.09631- 5 3.95769- 3 3.00000+ 1 3.60000+ 1 3.52844- 5 3.95853- 3 3.00000+ 1 4.10000+ 1 7.34495- 5 3.91532- 3 3.00000+ 1 4.30000+ 1 7.52498- 5 3.93272- 3 3.00000+ 1 4.40000+ 1 1.63823- 4 3.94151- 3 3.00000+ 1 4.60000+ 1 3.96057- 6 3.96062- 3 3.00000+ 1 4.70000+ 1 4.68064- 6 3.96120- 3 3.00000+ 1 5.80000+ 1 7.56094- 6 3.95966- 3 3.20000+ 1 3.20000+ 1 3.96058- 6 3.94724- 3 3.20000+ 1 3.30000+ 1 1.07655- 4 3.95492- 3 3.20000+ 1 3.50000+ 1 1.08015- 6 4.04568- 3 3.20000+ 1 3.60000+ 1 8.64123- 6 4.04652- 3 3.20000+ 1 4.10000+ 1 2.52026- 6 4.00331- 3 3.20000+ 1 4.30000+ 1 3.60054- 7 4.02071- 3 3.20000+ 1 4.40000+ 1 9.14517- 5 4.02950- 3 3.20000+ 1 4.70000+ 1 7.20092- 7 4.04919- 3 3.20000+ 1 5.80000+ 1 3.60054- 7 4.04765- 3 3.30000+ 1 3.30000+ 1 4.68048- 5 3.96260- 3 3.30000+ 1 3.50000+ 1 8.28089- 6 4.05336- 3 3.30000+ 1 3.60000+ 1 6.48061- 6 4.05420- 3 3.30000+ 1 4.10000+ 1 3.24039- 6 4.01099- 3 3.30000+ 1 4.30000+ 1 6.84063- 6 4.02839- 3 3.30000+ 1 4.40000+ 1 1.16652- 4 4.03718- 3 3.30000+ 1 4.60000+ 1 7.20065- 7 4.05629- 3 3.30000+ 1 4.70000+ 1 3.60041- 7 4.05687- 3 3.30000+ 1 5.80000+ 1 3.60041- 7 4.05533- 3 3.50000+ 1 3.60000+ 1 1.80015- 6 4.14496- 3 3.50000+ 1 4.10000+ 1 3.60046- 7 4.10175- 3 3.50000+ 1 4.30000+ 1 3.60046- 7 4.11915- 3 3.50000+ 1 4.40000+ 1 4.32053- 6 4.12794- 3 3.60000+ 1 4.10000+ 1 3.60046- 7 4.10259- 3 3.60000+ 1 4.30000+ 1 1.80015- 6 4.11999- 3 3.60000+ 1 4.40000+ 1 5.04057- 6 4.12878- 3 4.10000+ 1 4.10000+ 1 3.60037- 7 4.05938- 3 4.10000+ 1 4.30000+ 1 3.60037- 7 4.07678- 3 4.10000+ 1 4.40000+ 1 1.04409- 5 4.08557- 3 4.30000+ 1 4.40000+ 1 1.08010- 5 4.10297- 3 4.40000+ 1 4.40000+ 1 1.22416- 5 4.11176- 3 4.40000+ 1 4.60000+ 1 7.20086- 7 4.13087- 3 4.40000+ 1 4.70000+ 1 7.20086- 7 4.13145- 3 4.40000+ 1 5.80000+ 1 1.08014- 6 4.12991- 3 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.28621- 3 2.40600- 3 1.90000+ 1 2.07111- 4 2.62553- 3 2.40000+ 1 5.01831- 2 3.23847- 3 2.90000+ 1 5.46822- 4 3.37021- 3 3.00000+ 1 4.86601- 5 3.42203- 3 3.50000+ 1 5.65192- 4 3.60846- 3 4.30000+ 1 8.94303- 5 3.58349- 3 4.40000+ 1 7.67272- 6 3.59228- 3 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.20000+ 1 5.08820- 2 6.64200- 5 1.40000+ 1 3.30000+ 1 7.30179- 3 7.41000- 5 1.40000+ 1 3.50000+ 1 5.06358- 3 1.64860- 4 1.40000+ 1 3.60000+ 1 5.48530- 4 1.65700- 4 1.40000+ 1 4.10000+ 1 1.01265- 3 1.22490- 4 1.40000+ 1 4.30000+ 1 5.12264- 4 1.39890- 4 1.40000+ 1 4.40000+ 1 1.05999- 3 1.48680- 4 1.40000+ 1 4.60000+ 1 3.04194- 4 1.67790- 4 1.40000+ 1 4.70000+ 1 4.01916- 5 1.68370- 4 1.40000+ 1 5.80000+ 1 1.04024- 4 1.66830- 4 1.60000+ 1 1.60000+ 1 8.66924- 6 8.91900- 4 1.60000+ 1 1.80000+ 1 8.22013- 4 1.04390- 3 1.60000+ 1 1.90000+ 1 7.49479- 4 1.26343- 3 1.60000+ 1 2.10000+ 1 2.90242- 2 1.51025- 3 1.60000+ 1 2.20000+ 1 3.40780- 3 1.55079- 3 1.60000+ 1 2.40000+ 1 1.60183- 2 1.87637- 3 1.60000+ 1 2.50000+ 1 3.77732- 3 1.88696- 3 1.60000+ 1 2.70000+ 1 1.57622- 5 1.94883- 3 1.60000+ 1 2.90000+ 1 1.58406- 4 2.00811- 3 1.60000+ 1 3.00000+ 1 1.11916- 4 2.05993- 3 1.60000+ 1 3.20000+ 1 3.54566- 3 2.14792- 3 1.60000+ 1 3.30000+ 1 4.44499- 4 2.15560- 3 1.60000+ 1 3.50000+ 1 1.14278- 4 2.24636- 3 1.60000+ 1 3.60000+ 1 2.20667- 5 2.24720- 3 1.60000+ 1 4.10000+ 1 3.15243- 6 2.20399- 3 1.60000+ 1 4.30000+ 1 2.52198- 5 2.22139- 3 1.60000+ 1 4.40000+ 1 1.57622- 5 2.23018- 3 1.60000+ 1 4.60000+ 1 2.12786- 5 2.24929- 3 1.60000+ 1 4.70000+ 1 2.36427- 6 2.24987- 3 1.80000+ 1 1.80000+ 1 4.12954- 4 1.19590- 3 1.80000+ 1 1.90000+ 1 3.46139- 3 1.41543- 3 1.80000+ 1 2.10000+ 1 2.62977- 2 1.66225- 3 1.80000+ 1 2.20000+ 1 1.56043- 3 1.70279- 3 1.80000+ 1 2.40000+ 1 1.16222- 2 2.02837- 3 1.80000+ 1 2.50000+ 1 6.24738- 3 2.03896- 3 1.80000+ 1 2.70000+ 1 1.14278- 4 2.10083- 3 1.80000+ 1 2.90000+ 1 1.58406- 4 2.16011- 3 1.80000+ 1 3.00000+ 1 5.76105- 4 2.21193- 3 1.80000+ 1 3.20000+ 1 3.17753- 3 2.29992- 3 1.80000+ 1 3.30000+ 1 2.31703- 4 2.30760- 3 1.80000+ 1 3.50000+ 1 8.03867- 5 2.39836- 3 1.80000+ 1 3.60000+ 1 4.17709- 5 2.39920- 3 1.80000+ 1 4.10000+ 1 2.04905- 5 2.35599- 3 1.80000+ 1 4.30000+ 1 2.52197- 5 2.37339- 3 1.80000+ 1 4.40000+ 1 8.43259- 5 2.38218- 3 1.80000+ 1 4.60000+ 1 1.89153- 5 2.40129- 3 1.80000+ 1 4.70000+ 1 1.57621- 6 2.40187- 3 1.80000+ 1 5.80000+ 1 2.36427- 6 2.40033- 3 1.90000+ 1 1.90000+ 1 1.20820- 3 1.63496- 3 1.90000+ 1 2.10000+ 1 5.07301- 2 1.88178- 3 1.90000+ 1 2.20000+ 1 1.93245- 3 1.92232- 3 1.90000+ 1 2.40000+ 1 2.19488- 3 2.24790- 3 1.90000+ 1 2.50000+ 1 1.72442- 3 2.25849- 3 1.90000+ 1 2.70000+ 1 1.37921- 4 2.32036- 3 1.90000+ 1 2.90000+ 1 4.88641- 4 2.37964- 3 1.90000+ 1 3.00000+ 1 3.83820- 4 2.43146- 3 1.90000+ 1 3.20000+ 1 6.20082- 3 2.51945- 3 1.90000+ 1 3.30000+ 1 2.65601- 4 2.52713- 3 1.90000+ 1 3.50000+ 1 1.26101- 5 2.61789- 3 1.90000+ 1 3.60000+ 1 8.66934- 6 2.61873- 3 1.90000+ 1 4.10000+ 1 2.60082- 5 2.57552- 3 1.90000+ 1 4.30000+ 1 7.48713- 5 2.59292- 3 1.90000+ 1 4.40000+ 1 5.59577- 5 2.60171- 3 1.90000+ 1 4.60000+ 1 3.62531- 5 2.62082- 3 1.90000+ 1 4.70000+ 1 1.57624- 6 2.62140- 3 1.90000+ 1 5.80000+ 1 2.36430- 6 2.61986- 3 2.10000+ 1 2.10000+ 1 4.68383- 2 2.12860- 3 2.10000+ 1 2.20000+ 1 9.17888- 2 2.16914- 3 2.10000+ 1 2.40000+ 1 5.52498- 2 2.49472- 3 2.10000+ 1 2.50000+ 1 6.53843- 2 2.50531- 3 2.10000+ 1 2.70000+ 1 6.46250- 3 2.56718- 3 2.10000+ 1 2.90000+ 1 6.03115- 3 2.62646- 3 2.10000+ 1 3.00000+ 1 1.12222- 2 2.67828- 3 2.10000+ 1 3.20000+ 1 1.41739- 2 2.76627- 3 2.10000+ 1 3.30000+ 1 1.61312- 2 2.77395- 3 2.10000+ 1 3.50000+ 1 5.31179- 4 2.86471- 3 2.10000+ 1 3.60000+ 1 6.09209- 4 2.86555- 3 2.10000+ 1 4.10000+ 1 1.26167- 3 2.82234- 3 2.10000+ 1 4.30000+ 1 1.01265- 3 2.83974- 3 2.10000+ 1 4.40000+ 1 1.72518- 3 2.84853- 3 2.10000+ 1 4.60000+ 1 8.66914- 5 2.86764- 3 2.10000+ 1 4.70000+ 1 9.06305- 5 2.86822- 3 2.10000+ 1 5.80000+ 1 1.31616- 4 2.86668- 3 2.20000+ 1 2.20000+ 1 1.45096- 3 2.20968- 3 2.20000+ 1 2.40000+ 1 6.49040- 2 2.53526- 3 2.20000+ 1 2.50000+ 1 3.07999- 3 2.54585- 3 2.20000+ 1 2.70000+ 1 3.79064- 4 2.60772- 3 2.20000+ 1 2.90000+ 1 2.04907- 4 2.66700- 3 2.20000+ 1 3.00000+ 1 3.41248- 4 2.71882- 3 2.20000+ 1 3.20000+ 1 1.12651- 2 2.80681- 3 2.20000+ 1 3.30000+ 1 4.14556- 4 2.81449- 3 2.20000+ 1 3.50000+ 1 5.76894- 4 2.90525- 3 2.20000+ 1 3.60000+ 1 2.44319- 5 2.90609- 3 2.20000+ 1 4.10000+ 1 6.54132- 5 2.86288- 3 2.20000+ 1 4.30000+ 1 3.15245- 5 2.88028- 3 2.20000+ 1 4.40000+ 1 5.04400- 5 2.88907- 3 2.20000+ 1 4.60000+ 1 6.62012- 5 2.90818- 3 2.20000+ 1 4.70000+ 1 2.36429- 6 2.90876- 3 2.20000+ 1 5.80000+ 1 7.09315- 6 2.90722- 3 2.40000+ 1 2.40000+ 1 6.40376- 2 2.86084- 3 2.40000+ 1 2.50000+ 1 1.83684- 1 2.87143- 3 2.40000+ 1 2.70000+ 1 3.80110- 3 2.93330- 3 2.40000+ 1 2.90000+ 1 2.11692- 3 2.99258- 3 2.40000+ 1 3.00000+ 1 5.01237- 4 3.04440- 3 2.40000+ 1 3.20000+ 1 7.43974- 3 3.13239- 3 2.40000+ 1 3.30000+ 1 1.08411- 2 3.14007- 3 2.40000+ 1 3.50000+ 1 1.09226- 3 3.23083- 3 2.40000+ 1 3.60000+ 1 1.61640- 3 3.23167- 3 2.40000+ 1 4.10000+ 1 7.47914- 4 3.18846- 3 2.40000+ 1 4.30000+ 1 3.47557- 4 3.20586- 3 2.40000+ 1 4.40000+ 1 7.72330- 5 3.21465- 3 2.40000+ 1 4.60000+ 1 4.49209- 5 3.23376- 3 2.40000+ 1 4.70000+ 1 6.14710- 5 3.23434- 3 2.40000+ 1 5.80000+ 1 8.11753- 5 3.23280- 3 2.50000+ 1 2.50000+ 1 4.06027- 3 2.88202- 3 2.50000+ 1 2.70000+ 1 6.69878- 4 2.94389- 3 2.50000+ 1 2.90000+ 1 6.21135- 4 3.00317- 3 2.50000+ 1 3.00000+ 1 3.67297- 4 3.05499- 3 2.50000+ 1 3.20000+ 1 7.81665- 3 3.14298- 3 2.50000+ 1 3.30000+ 1 5.11857- 4 3.15066- 3 2.50000+ 1 3.50000+ 1 1.49776- 3 3.24142- 3 2.50000+ 1 3.60000+ 1 6.63982- 5 3.24226- 3 2.50000+ 1 4.10000+ 1 1.21875- 4 3.19905- 3 2.50000+ 1 4.30000+ 1 8.99317- 5 3.21645- 3 2.50000+ 1 4.40000+ 1 5.54725- 5 3.22524- 3 2.50000+ 1 4.60000+ 1 4.53871- 5 3.24435- 3 2.50000+ 1 4.70000+ 1 2.52144- 6 3.24493- 3 2.50000+ 1 5.80000+ 1 1.26077- 5 3.24339- 3 2.70000+ 1 2.70000+ 1 1.57621- 6 3.00576- 3 2.70000+ 1 2.90000+ 1 2.52197- 5 3.06504- 3 2.70000+ 1 3.00000+ 1 2.12785- 5 3.11686- 3 2.70000+ 1 3.20000+ 1 7.95985- 4 3.20485- 3 2.70000+ 1 3.30000+ 1 5.51657- 5 3.21253- 3 2.70000+ 1 3.50000+ 1 2.91600- 5 3.30329- 3 2.70000+ 1 3.60000+ 1 4.72852- 6 3.30413- 3 2.70000+ 1 4.10000+ 1 7.88113- 7 3.26092- 3 2.70000+ 1 4.30000+ 1 3.94046- 6 3.27832- 3 2.70000+ 1 4.40000+ 1 3.15241- 6 3.28711- 3 2.70000+ 1 4.60000+ 1 4.72852- 6 3.30622- 3 2.90000+ 1 2.90000+ 1 1.65502- 5 3.12432- 3 2.90000+ 1 3.00000+ 1 8.74805- 5 3.17614- 3 2.90000+ 1 3.20000+ 1 7.33728- 4 3.26413- 3 2.90000+ 1 3.30000+ 1 3.54656- 5 3.27181- 3 2.90000+ 1 3.50000+ 1 1.49741- 5 3.36257- 3 2.90000+ 1 3.60000+ 1 3.94049- 6 3.36341- 3 2.90000+ 1 4.10000+ 1 4.72855- 6 3.32020- 3 2.90000+ 1 4.30000+ 1 5.51661- 6 3.33760- 3 2.90000+ 1 4.40000+ 1 1.26099- 5 3.34639- 3 2.90000+ 1 4.60000+ 1 3.94049- 6 3.36550- 3 2.90000+ 1 5.80000+ 1 7.88118- 7 3.36454- 3 3.00000+ 1 3.00000+ 1 3.15256- 5 3.22796- 3 3.00000+ 1 3.20000+ 1 1.38233- 3 3.31595- 3 3.00000+ 1 3.30000+ 1 4.96539- 5 3.32363- 3 3.00000+ 1 3.50000+ 1 3.15256- 6 3.41439- 3 3.00000+ 1 3.60000+ 1 1.57629- 6 3.41523- 3 3.00000+ 1 4.10000+ 1 3.94065- 6 3.37202- 3 3.00000+ 1 4.30000+ 1 1.33985- 5 3.38942- 3 3.00000+ 1 4.40000+ 1 9.45750- 6 3.39821- 3 3.00000+ 1 4.60000+ 1 7.88152- 6 3.41732- 3 3.00000+ 1 5.80000+ 1 7.88152- 7 3.41636- 3 3.20000+ 1 3.20000+ 1 1.03005- 3 3.40394- 3 3.20000+ 1 3.30000+ 1 1.99399- 3 3.41162- 3 3.20000+ 1 3.50000+ 1 7.17192- 5 3.50238- 3 3.20000+ 1 3.60000+ 1 6.93530- 5 3.50322- 3 3.20000+ 1 4.10000+ 1 1.55262- 4 3.46001- 3 3.20000+ 1 4.30000+ 1 1.22954- 4 3.47741- 3 3.20000+ 1 4.40000+ 1 2.12789- 4 3.48620- 3 3.20000+ 1 4.60000+ 1 1.26101- 5 3.50531- 3 3.20000+ 1 4.70000+ 1 1.10339- 5 3.50589- 3 3.20000+ 1 5.80000+ 1 1.65505- 5 3.50435- 3 3.30000+ 1 3.30000+ 1 3.57472- 5 3.41930- 3 3.30000+ 1 3.50000+ 1 1.19803- 4 3.51006- 3 3.30000+ 1 3.60000+ 1 4.83060- 6 3.51090- 3 3.30000+ 1 4.10000+ 1 1.15934- 5 3.46769- 3 3.30000+ 1 4.30000+ 1 6.76275- 6 3.48509- 3 3.30000+ 1 4.40000+ 1 8.69538- 6 3.49388- 3 3.30000+ 1 4.60000+ 1 1.44923- 5 3.51299- 3 3.30000+ 1 5.80000+ 1 9.66146- 7 3.51203- 3 3.50000+ 1 3.60000+ 1 1.26098- 5 3.60166- 3 3.50000+ 1 4.10000+ 1 5.51656- 6 3.55845- 3 3.50000+ 1 4.30000+ 1 2.36425- 6 3.57585- 3 3.50000+ 1 4.40000+ 1 7.88111- 7 3.58464- 3 3.50000+ 1 4.60000+ 1 7.88111- 7 3.60375- 3 3.50000+ 1 4.70000+ 1 7.88111- 7 3.60433- 3 3.50000+ 1 5.80000+ 1 7.88111- 7 3.60279- 3 3.60000+ 1 4.10000+ 1 7.88102- 7 3.55929- 3 3.60000+ 1 4.30000+ 1 7.88102- 7 3.57669- 3 3.60000+ 1 4.60000+ 1 7.88102- 7 3.60459- 3 4.10000+ 1 4.30000+ 1 1.01197- 6 3.53348- 3 4.10000+ 1 4.40000+ 1 1.01197- 6 3.54227- 3 4.10000+ 1 4.60000+ 1 1.01197- 6 3.56138- 3 4.30000+ 1 4.30000+ 1 6.71375- 7 3.55088- 3 4.30000+ 1 4.40000+ 1 2.01406- 6 3.55967- 3 4.30000+ 1 4.60000+ 1 6.71375- 7 3.57878- 3 4.40000+ 1 4.40000+ 1 7.88108- 7 3.56846- 3 4.40000+ 1 4.60000+ 1 1.57620- 6 3.58757- 3 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.56881- 3 2.45303- 3 2.40000+ 1 2.41142- 3 3.06597- 3 2.50000+ 1 4.72303- 2 3.07656- 3 3.00000+ 1 3.66222- 4 3.24953- 3 3.50000+ 1 2.67002- 5 3.43596- 3 3.60000+ 1 5.14973- 4 3.43680- 3 4.40000+ 1 5.77314- 5 3.41978- 3 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 9.55308- 6 7.19400- 4 1.60000+ 1 1.80000+ 1 2.53145- 4 8.71400- 4 1.60000+ 1 1.90000+ 1 1.60556- 3 1.09093- 3 1.60000+ 1 2.10000+ 1 3.14931- 3 1.33775- 3 1.60000+ 1 2.20000+ 1 3.20427- 2 1.37829- 3 1.60000+ 1 2.40000+ 1 4.12431- 3 1.70387- 3 1.60000+ 1 2.50000+ 1 1.67897- 2 1.71446- 3 1.60000+ 1 2.70000+ 1 1.35328- 5 1.77633- 3 1.60000+ 1 2.90000+ 1 1.83086- 5 1.83561- 3 1.60000+ 1 3.00000+ 1 2.45179- 4 1.88743- 3 1.60000+ 1 3.20000+ 1 3.78126- 4 1.97542- 3 1.60000+ 1 3.30000+ 1 3.89594- 3 1.98310- 3 1.60000+ 1 3.50000+ 1 2.38810- 5 2.07386- 3 1.60000+ 1 3.60000+ 1 1.06666- 4 2.07470- 3 1.60000+ 1 4.10000+ 1 3.18413- 6 2.03149- 3 1.60000+ 1 4.30000+ 1 3.18413- 6 2.04889- 3 1.60000+ 1 4.40000+ 1 3.50279- 5 2.05768- 3 1.60000+ 1 4.60000+ 1 2.38810- 6 2.07679- 3 1.60000+ 1 4.70000+ 1 2.06975- 5 2.07737- 3 1.80000+ 1 1.80000+ 1 6.36856- 6 1.02340- 3 1.80000+ 1 1.90000+ 1 4.80894- 3 1.24293- 3 1.80000+ 1 2.10000+ 1 2.33235- 4 1.48975- 3 1.80000+ 1 2.20000+ 1 3.30140- 2 1.53029- 3 1.80000+ 1 2.40000+ 1 2.30299- 3 1.85587- 3 1.80000+ 1 2.50000+ 1 9.99209- 3 1.86646- 3 1.80000+ 1 2.70000+ 1 3.26370- 5 1.92833- 3 1.80000+ 1 2.90000+ 1 1.59207- 6 1.98761- 3 1.80000+ 1 3.00000+ 1 7.37135- 4 2.03943- 3 1.80000+ 1 3.20000+ 1 6.36856- 6 2.12742- 3 1.80000+ 1 3.30000+ 1 4.00825- 3 2.13510- 3 1.80000+ 1 3.50000+ 1 1.51251- 5 2.22586- 3 1.80000+ 1 3.60000+ 1 6.20904- 5 2.22670- 3 1.80000+ 1 4.10000+ 1 5.57224- 6 2.18349- 3 1.80000+ 1 4.30000+ 1 7.96063- 7 2.20089- 3 1.80000+ 1 4.40000+ 1 1.05874- 4 2.20968- 3 1.80000+ 1 4.70000+ 1 2.14941- 5 2.22937- 3 1.80000+ 1 5.80000+ 1 7.96063- 7 2.22783- 3 1.90000+ 1 1.90000+ 1 2.98928- 3 1.46246- 3 1.90000+ 1 2.10000+ 1 2.98749- 3 1.70928- 3 1.90000+ 1 2.20000+ 1 4.79979- 2 1.74982- 3 1.90000+ 1 2.40000+ 1 1.99880- 3 2.07540- 3 1.90000+ 1 2.50000+ 1 3.26775- 3 2.08599- 3 1.90000+ 1 2.70000+ 1 3.10455- 4 2.14786- 3 1.90000+ 1 2.90000+ 1 6.28073- 4 2.20714- 3 1.90000+ 1 3.00000+ 1 9.40135- 4 2.25896- 3 1.90000+ 1 3.20000+ 1 4.52955- 4 2.34695- 3 1.90000+ 1 3.30000+ 1 5.78956- 3 2.35463- 3 1.90000+ 1 3.50000+ 1 1.11448- 5 2.44539- 3 1.90000+ 1 3.60000+ 1 1.75128- 5 2.44623- 3 1.90000+ 1 4.10000+ 1 5.89075- 5 2.40302- 3 1.90000+ 1 4.30000+ 1 9.55304- 5 2.42042- 3 1.90000+ 1 4.40000+ 1 1.36924- 4 2.42921- 3 1.90000+ 1 4.60000+ 1 2.38809- 6 2.44832- 3 1.90000+ 1 4.70000+ 1 3.10455- 5 2.44890- 3 1.90000+ 1 5.80000+ 1 5.57220- 6 2.44736- 3 2.10000+ 1 2.10000+ 1 6.57521- 4 1.95610- 3 2.10000+ 1 2.20000+ 1 6.81162- 2 1.99664- 3 2.10000+ 1 2.40000+ 1 2.81401- 3 2.32222- 3 2.10000+ 1 2.50000+ 1 3.89583- 2 2.33281- 3 2.10000+ 1 2.70000+ 1 3.26360- 4 2.39468- 3 2.10000+ 1 2.90000+ 1 6.28851- 5 2.45396- 3 2.10000+ 1 3.00000+ 1 4.75236- 4 2.50578- 3 2.10000+ 1 3.20000+ 1 1.80700- 4 2.59377- 3 2.10000+ 1 3.30000+ 1 8.33518- 3 2.60145- 3 2.10000+ 1 3.50000+ 1 2.38803- 5 2.69221- 3 2.10000+ 1 3.60000+ 1 3.34316- 4 2.69305- 3 2.10000+ 1 4.10000+ 1 5.57207- 5 2.64984- 3 2.10000+ 1 4.30000+ 1 1.03480- 5 2.66724- 3 2.10000+ 1 4.40000+ 1 6.92530- 5 2.67603- 3 2.10000+ 1 4.60000+ 1 7.96039- 7 2.69514- 3 2.10000+ 1 4.70000+ 1 4.45771- 5 2.69572- 3 2.10000+ 1 5.80000+ 1 5.57207- 6 2.69418- 3 2.20000+ 1 2.20000+ 1 7.52841- 2 2.03718- 3 2.20000+ 1 2.40000+ 1 6.11225- 2 2.36276- 3 2.20000+ 1 2.50000+ 1 9.85251- 2 2.37335- 3 2.20000+ 1 2.70000+ 1 6.77594- 3 2.43522- 3 2.20000+ 1 2.90000+ 1 7.20986- 3 2.49450- 3 2.20000+ 1 3.00000+ 1 1.07133- 2 2.54632- 3 2.20000+ 1 3.20000+ 1 1.19305- 2 2.63431- 3 2.20000+ 1 3.30000+ 1 2.24413- 2 2.64199- 3 2.20000+ 1 3.50000+ 1 5.85095- 4 2.73275- 3 2.20000+ 1 3.60000+ 1 8.84398- 4 2.73359- 3 2.20000+ 1 4.10000+ 1 1.31587- 3 2.69038- 3 2.20000+ 1 4.30000+ 1 1.19960- 3 2.70778- 3 2.20000+ 1 4.40000+ 1 1.64939- 3 2.71657- 3 2.20000+ 1 4.60000+ 1 7.40321- 5 2.73568- 3 2.20000+ 1 4.70000+ 1 1.23383- 4 2.73626- 3 2.20000+ 1 5.80000+ 1 1.37718- 4 2.73472- 3 2.40000+ 1 2.40000+ 1 5.34876- 3 2.68834- 3 2.40000+ 1 2.50000+ 1 1.70121- 1 2.69893- 3 2.40000+ 1 2.70000+ 1 7.58648- 4 2.76080- 3 2.40000+ 1 2.90000+ 1 4.62505- 4 2.82008- 3 2.40000+ 1 3.00000+ 1 3.76542- 4 2.87190- 3 2.40000+ 1 3.20000+ 1 4.75253- 4 2.95989- 3 2.40000+ 1 3.30000+ 1 7.06097- 3 2.96757- 3 2.40000+ 1 3.50000+ 1 9.07498- 5 3.05833- 3 2.40000+ 1 3.60000+ 1 1.25775- 3 3.05917- 3 2.40000+ 1 4.10000+ 1 1.40904- 4 3.01596- 3 2.40000+ 1 4.30000+ 1 7.56247- 5 3.03336- 3 2.40000+ 1 4.40000+ 1 5.65214- 5 3.04215- 3 2.40000+ 1 4.60000+ 1 3.18416- 6 3.06126- 3 2.40000+ 1 4.70000+ 1 3.74141- 5 3.06184- 3 2.40000+ 1 5.80000+ 1 1.51252- 5 3.06030- 3 2.50000+ 1 2.50000+ 1 1.16130- 1 2.70952- 3 2.50000+ 1 2.70000+ 1 3.92446- 3 2.77139- 3 2.50000+ 1 2.90000+ 1 2.22250- 3 2.83067- 3 2.50000+ 1 3.00000+ 1 6.97343- 4 2.88249- 3 2.50000+ 1 3.20000+ 1 6.34448- 3 2.97048- 3 2.50000+ 1 3.30000+ 1 1.36636- 2 2.97816- 3 2.50000+ 1 3.50000+ 1 1.51725- 3 3.06892- 3 2.50000+ 1 3.60000+ 1 1.87310- 3 3.06976- 3 2.50000+ 1 4.10000+ 1 7.71361- 4 3.02655- 3 2.50000+ 1 4.30000+ 1 3.72556- 4 3.04395- 3 2.50000+ 1 4.40000+ 1 1.07459- 4 3.05274- 3 2.50000+ 1 4.60000+ 1 3.90055- 5 3.07185- 3 2.50000+ 1 4.70000+ 1 7.48276- 5 3.07243- 3 2.50000+ 1 5.80000+ 1 8.27879- 5 3.07089- 3 2.70000+ 1 2.70000+ 1 7.96072- 7 2.83326- 3 2.70000+ 1 2.90000+ 1 7.96072- 7 2.89254- 3 2.70000+ 1 3.00000+ 1 4.93569- 5 2.94436- 3 2.70000+ 1 3.20000+ 1 4.45790- 5 3.03235- 3 2.70000+ 1 3.30000+ 1 8.31083- 4 3.04003- 3 2.70000+ 1 3.50000+ 1 5.57230- 6 3.13079- 3 2.70000+ 1 3.60000+ 1 2.78625- 5 3.13163- 3 2.70000+ 1 4.40000+ 1 7.16468- 6 3.11461- 3 2.70000+ 1 4.70000+ 1 4.77626- 6 3.13430- 3 2.90000+ 1 3.00000+ 1 1.03478- 4 3.00364- 3 2.90000+ 1 3.20000+ 1 3.97998- 6 3.09163- 3 2.90000+ 1 3.30000+ 1 8.89136- 4 3.09931- 3 2.90000+ 1 3.50000+ 1 3.18399- 6 3.19007- 3 2.90000+ 1 3.60000+ 1 1.43287- 5 3.19091- 3 2.90000+ 1 4.40000+ 1 1.51244- 5 3.17389- 3 2.90000+ 1 4.70000+ 1 4.77598- 6 3.19358- 3 3.00000+ 1 3.00000+ 1 7.48270- 5 3.05546- 3 3.00000+ 1 3.20000+ 1 7.72139- 5 3.14345- 3 3.00000+ 1 3.30000+ 1 1.29918- 3 3.15113- 3 3.00000+ 1 3.50000+ 1 2.38806- 6 3.24189- 3 3.00000+ 1 3.60000+ 1 4.77611- 6 3.24273- 3 3.00000+ 1 4.10000+ 1 9.55290- 6 3.19952- 3 3.00000+ 1 4.30000+ 1 1.59204- 5 3.21692- 3 3.00000+ 1 4.40000+ 1 2.14937- 5 3.22571- 3 3.00000+ 1 4.60000+ 1 7.96047- 7 3.24482- 3 3.00000+ 1 4.70000+ 1 7.16445- 6 3.24540- 3 3.00000+ 1 5.80000+ 1 7.96047- 7 3.24386- 3 3.20000+ 1 3.20000+ 1 1.19402- 5 3.23144- 3 3.20000+ 1 3.30000+ 1 1.47021- 3 3.23912- 3 3.20000+ 1 3.50000+ 1 3.98010- 6 3.32988- 3 3.20000+ 1 3.60000+ 1 5.57213- 5 3.33072- 3 3.20000+ 1 4.10000+ 1 7.96048- 6 3.28751- 3 3.20000+ 1 4.30000+ 1 7.96048- 7 3.30491- 3 3.20000+ 1 4.40000+ 1 1.11447- 5 3.31370- 3 3.20000+ 1 4.70000+ 1 7.96048- 6 3.33339- 3 3.20000+ 1 5.80000+ 1 7.96048- 7 3.33185- 3 3.30000+ 1 3.30000+ 1 1.61360- 3 3.24680- 3 3.30000+ 1 3.50000+ 1 6.84604- 5 3.33756- 3 3.30000+ 1 3.60000+ 1 1.22590- 4 3.33840- 3 3.30000+ 1 4.10000+ 1 1.61608- 4 3.29519- 3 3.30000+ 1 4.30000+ 1 1.48066- 4 3.31259- 3 3.30000+ 1 4.40000+ 1 2.00606- 4 3.32138- 3 3.30000+ 1 4.60000+ 1 8.75656- 6 3.34049- 3 3.30000+ 1 4.70000+ 1 1.75129- 5 3.34107- 3 3.30000+ 1 5.80000+ 1 1.67163- 5 3.33953- 3 3.50000+ 1 3.60000+ 1 1.11449- 5 3.42916- 3 3.50000+ 1 4.10000+ 1 7.96069- 7 3.38595- 3 3.50000+ 1 4.30000+ 1 7.96069- 7 3.40335- 3 3.60000+ 1 3.60000+ 1 7.96097- 7 3.43000- 3 3.60000+ 1 4.10000+ 1 5.57248- 6 3.38679- 3 3.60000+ 1 4.30000+ 1 2.38821- 6 3.40419- 3 3.60000+ 1 4.40000+ 1 7.96097- 7 3.41298- 3 3.60000+ 1 4.70000+ 1 7.96097- 7 3.43267- 3 3.60000+ 1 5.80000+ 1 7.96097- 7 3.43113- 3 4.10000+ 1 4.40000+ 1 1.90672- 6 3.36977- 3 4.10000+ 1 4.70000+ 1 9.53395- 7 3.38946- 3 4.30000+ 1 4.40000+ 1 2.67217- 6 3.38717- 3 4.30000+ 1 4.70000+ 1 8.90754- 7 3.40686- 3 4.40000+ 1 4.40000+ 1 1.84452- 6 3.39596- 3 4.40000+ 1 4.70000+ 1 9.22294- 7 3.41565- 3 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.48914- 5 1.52000- 4 1.90000+ 1 4.55155- 4 3.71530- 4 2.90000+ 1 3.14205- 4 1.11621- 3 3.00000+ 1 7.58465- 5 1.16803- 3 4.30000+ 1 6.48763- 5 1.32949- 3 4.40000+ 1 1.86529- 5 1.33828- 3 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.20000+ 1 6.51755- 2 4.59200- 5 1.80000+ 1 3.30000+ 1 1.01943- 1 5.36000- 5 1.80000+ 1 3.50000+ 1 3.32243- 3 1.44360- 4 1.80000+ 1 3.60000+ 1 3.52588- 3 1.45200- 4 1.80000+ 1 4.10000+ 1 9.23430- 3 1.01990- 4 1.80000+ 1 4.30000+ 1 7.42161- 3 1.19390- 4 1.80000+ 1 4.40000+ 1 1.03870- 2 1.28180- 4 1.80000+ 1 4.60000+ 1 3.37710- 4 1.47290- 4 1.80000+ 1 4.70000+ 1 4.79079- 4 1.47870- 4 1.80000+ 1 5.80000+ 1 9.42034- 4 1.46330- 4 1.90000+ 1 2.40000+ 1 6.13573- 3 0.00000+ 0 1.90000+ 1 2.50000+ 1 1.91988- 2 4.49000- 6 1.90000+ 1 2.70000+ 1 4.22336- 2 6.63600- 5 1.90000+ 1 2.90000+ 1 5.08420- 2 1.25640- 4 1.90000+ 1 3.00000+ 1 4.60309- 2 1.77460- 4 1.90000+ 1 3.20000+ 1 4.11211- 2 2.65450- 4 1.90000+ 1 3.30000+ 1 5.11975- 2 2.73130- 4 1.90000+ 1 3.50000+ 1 2.37964- 4 3.63890- 4 1.90000+ 1 3.60000+ 1 4.06937- 4 3.64730- 4 1.90000+ 1 4.10000+ 1 8.16077- 3 3.21520- 4 1.90000+ 1 4.30000+ 1 8.06905- 3 3.38920- 4 1.90000+ 1 4.40000+ 1 7.10571- 3 3.47710- 4 1.90000+ 1 4.60000+ 1 2.37819- 4 3.66820- 4 1.90000+ 1 4.70000+ 1 2.76831- 4 3.67400- 4 1.90000+ 1 5.80000+ 1 8.52598- 4 3.65860- 4 2.10000+ 1 2.40000+ 1 3.85410- 3 2.40720- 4 2.10000+ 1 2.50000+ 1 4.90879- 3 2.51310- 4 2.10000+ 1 2.70000+ 1 1.72613- 2 3.13180- 4 2.10000+ 1 2.90000+ 1 6.07152- 3 3.72460- 4 2.10000+ 1 3.00000+ 1 6.06063- 3 4.24280- 4 2.10000+ 1 3.20000+ 1 2.05486- 3 5.12270- 4 2.10000+ 1 3.30000+ 1 2.98926- 3 5.19950- 4 2.10000+ 1 3.50000+ 1 1.94931- 4 6.10710- 4 2.10000+ 1 3.60000+ 1 1.85307- 4 6.11550- 4 2.10000+ 1 4.10000+ 1 2.45088- 3 5.68340- 4 2.10000+ 1 4.30000+ 1 9.51418- 4 5.85740- 4 2.10000+ 1 4.40000+ 1 7.67010- 4 5.94530- 4 2.10000+ 1 4.60000+ 1 1.16929- 5 6.13640- 4 2.10000+ 1 4.70000+ 1 1.58369- 5 6.14220- 4 2.10000+ 1 5.80000+ 1 2.44960- 4 6.12680- 4 2.20000+ 1 2.40000+ 1 5.73663- 3 2.81260- 4 2.20000+ 1 2.50000+ 1 6.84551- 3 2.91850- 4 2.20000+ 1 2.70000+ 1 2.42061- 2 3.53720- 4 2.20000+ 1 2.90000+ 1 9.53384- 3 4.13000- 4 2.20000+ 1 3.00000+ 1 7.21629- 3 4.64820- 4 2.20000+ 1 3.20000+ 1 2.36847- 3 5.52810- 4 2.20000+ 1 3.30000+ 1 3.38300- 3 5.60490- 4 2.20000+ 1 3.50000+ 1 2.05468- 4 6.51250- 4 2.20000+ 1 3.60000+ 1 2.85430- 4 6.52090- 4 2.20000+ 1 4.10000+ 1 3.41134- 3 6.08880- 4 2.20000+ 1 4.30000+ 1 1.32658- 3 6.26280- 4 2.20000+ 1 4.40000+ 1 1.01846- 3 6.35070- 4 2.20000+ 1 4.60000+ 1 1.39456- 5 6.54180- 4 2.20000+ 1 4.70000+ 1 1.80991- 5 6.54760- 4 2.20000+ 1 5.80000+ 1 3.40172- 4 6.53220- 4 2.40000+ 1 2.40000+ 1 9.15260- 3 6.06840- 4 2.40000+ 1 2.50000+ 1 1.73345- 2 6.17430- 4 2.40000+ 1 2.70000+ 1 2.12130- 2 6.79300- 4 2.40000+ 1 2.90000+ 1 2.97520- 3 7.38580- 4 2.40000+ 1 3.00000+ 1 1.26626- 2 7.90400- 4 2.40000+ 1 3.20000+ 1 1.21172- 3 8.78390- 4 2.40000+ 1 3.30000+ 1 7.76596- 4 8.86070- 4 2.40000+ 1 3.50000+ 1 8.70781- 5 9.76830- 4 2.40000+ 1 3.60000+ 1 7.90898- 5 9.77670- 4 2.40000+ 1 4.10000+ 1 2.55234- 3 9.34460- 4 2.40000+ 1 4.30000+ 1 3.72608- 4 9.51860- 4 2.40000+ 1 4.40000+ 1 1.49622- 3 9.60650- 4 2.40000+ 1 4.60000+ 1 7.10849- 6 9.79760- 4 2.40000+ 1 4.70000+ 1 3.99856- 6 9.80340- 4 2.40000+ 1 5.80000+ 1 2.47768- 4 9.78800- 4 2.50000+ 1 2.50000+ 1 1.51414- 2 6.28020- 4 2.50000+ 1 2.70000+ 1 2.74859- 2 6.89890- 4 2.50000+ 1 2.90000+ 1 1.42957- 3 7.49170- 4 2.50000+ 1 3.00000+ 1 1.35023- 2 8.00990- 4 2.50000+ 1 3.20000+ 1 7.06472- 4 8.88980- 4 2.50000+ 1 3.30000+ 1 1.73556- 3 8.96660- 4 2.50000+ 1 3.50000+ 1 8.35316- 5 9.87420- 4 2.50000+ 1 3.60000+ 1 1.39008- 4 9.88260- 4 2.50000+ 1 4.10000+ 1 3.29449- 3 9.45050- 4 2.50000+ 1 4.30000+ 1 1.74018- 4 9.62450- 4 2.50000+ 1 4.40000+ 1 1.52861- 3 9.71240- 4 2.50000+ 1 4.60000+ 1 4.15390- 6 9.90350- 4 2.50000+ 1 4.70000+ 1 9.04954- 6 9.90930- 4 2.50000+ 1 5.80000+ 1 3.19401- 4 9.89390- 4 2.70000+ 1 2.70000+ 1 1.67247- 2 7.51760- 4 2.70000+ 1 2.90000+ 1 2.48218- 2 8.11040- 4 2.70000+ 1 3.00000+ 1 3.91132- 2 8.62860- 4 2.70000+ 1 3.20000+ 1 3.83890- 2 9.50850- 4 2.70000+ 1 3.30000+ 1 5.31001- 2 9.58530- 4 2.70000+ 1 3.50000+ 1 2.82299- 3 1.04929- 3 2.70000+ 1 3.60000+ 1 3.48274- 3 1.05013- 3 2.70000+ 1 4.10000+ 1 5.38896- 3 1.00692- 3 2.70000+ 1 4.30000+ 1 4.16248- 3 1.02432- 3 2.70000+ 1 4.40000+ 1 5.99052- 3 1.03311- 3 2.70000+ 1 4.60000+ 1 2.40566- 4 1.05222- 3 2.70000+ 1 4.70000+ 1 3.00703- 4 1.05280- 3 2.70000+ 1 5.80000+ 1 5.50383- 4 1.05126- 3 2.90000+ 1 2.90000+ 1 1.92470- 3 8.70320- 4 2.90000+ 1 3.00000+ 1 8.66368- 3 9.22140- 4 2.90000+ 1 3.20000+ 1 3.46776- 3 1.01013- 3 2.90000+ 1 3.30000+ 1 2.45361- 3 1.01781- 3 2.90000+ 1 3.50000+ 1 1.63579- 4 1.10857- 3 2.90000+ 1 3.60000+ 1 1.01788- 4 1.10941- 3 2.90000+ 1 4.10000+ 1 3.01528- 3 1.06620- 3 2.90000+ 1 4.30000+ 1 5.23436- 4 1.08360- 3 2.90000+ 1 4.40000+ 1 9.97824- 4 1.09239- 3 2.90000+ 1 4.60000+ 1 1.99925- 5 1.11150- 3 2.90000+ 1 4.70000+ 1 1.27224- 5 1.11208- 3 2.90000+ 1 5.80000+ 1 2.94425- 4 1.11054- 3 3.00000+ 1 3.00000+ 1 5.04021- 3 9.73960- 4 3.00000+ 1 3.20000+ 1 2.36955- 3 1.06195- 3 3.00000+ 1 3.30000+ 1 5.71156- 3 1.06963- 3 3.00000+ 1 3.50000+ 1 7.43849- 4 1.16039- 3 3.00000+ 1 3.60000+ 1 8.92678- 4 1.16123- 3 3.00000+ 1 4.10000+ 1 4.93678- 3 1.11802- 3 3.00000+ 1 4.30000+ 1 1.28635- 3 1.13542- 3 3.00000+ 1 4.40000+ 1 1.34621- 3 1.14421- 3 3.00000+ 1 4.60000+ 1 1.45149- 5 1.16332- 3 3.00000+ 1 4.70000+ 1 3.26574- 5 1.16390- 3 3.00000+ 1 5.80000+ 1 4.84430- 4 1.16236- 3 3.20000+ 1 3.20000+ 1 1.03690- 3 1.14994- 3 3.20000+ 1 3.30000+ 1 3.17123- 3 1.15762- 3 3.20000+ 1 3.50000+ 1 7.23853- 5 1.24838- 3 3.20000+ 1 3.60000+ 1 4.89094- 5 1.24922- 3 3.20000+ 1 4.10000+ 1 5.08850- 3 1.20601- 3 3.20000+ 1 4.30000+ 1 4.87136- 4 1.22341- 3 3.20000+ 1 4.40000+ 1 2.44542- 4 1.23220- 3 3.20000+ 1 4.60000+ 1 1.17380- 5 1.25131- 3 3.20000+ 1 4.70000+ 1 1.56512- 5 1.25189- 3 3.20000+ 1 5.80000+ 1 4.96909- 4 1.25035- 3 3.30000+ 1 3.30000+ 1 2.05172- 3 1.16530- 3 3.30000+ 1 3.50000+ 1 5.55537- 5 1.25606- 3 3.30000+ 1 3.60000+ 1 1.01530- 4 1.25690- 3 3.30000+ 1 4.10000+ 1 6.88662- 3 1.21369- 3 3.30000+ 1 4.30000+ 1 2.93091- 4 1.23109- 3 3.30000+ 1 4.40000+ 1 7.10678- 4 1.23988- 3 3.30000+ 1 4.60000+ 1 1.72412- 5 1.25899- 3 3.30000+ 1 4.70000+ 1 2.10721- 5 1.25957- 3 3.30000+ 1 5.80000+ 1 6.72388- 4 1.25803- 3 3.50000+ 1 3.60000+ 1 1.81432- 6 1.34766- 3 3.50000+ 1 4.10000+ 1 3.32032- 4 1.30445- 3 3.50000+ 1 4.30000+ 1 1.99578- 5 1.32185- 3 3.50000+ 1 4.40000+ 1 9.07143- 5 1.33064- 3 3.50000+ 1 5.80000+ 1 3.26574- 5 1.34879- 3 3.60000+ 1 4.10000+ 1 4.10045- 4 1.30529- 3 3.60000+ 1 4.30000+ 1 1.08858- 5 1.32269- 3 3.60000+ 1 4.40000+ 1 1.08858- 4 1.33148- 3 3.60000+ 1 5.80000+ 1 3.99156- 5 1.34963- 3 4.10000+ 1 4.10000+ 1 4.33547- 4 1.26208- 3 4.10000+ 1 4.30000+ 1 5.50367- 4 1.27948- 3 4.10000+ 1 4.40000+ 1 8.09688- 4 1.28827- 3 4.10000+ 1 4.60000+ 1 3.16761- 5 1.30738- 3 4.10000+ 1 4.70000+ 1 3.95940- 5 1.30796- 3 4.10000+ 1 5.80000+ 1 8.71091- 5 1.30642- 3 4.30000+ 1 4.30000+ 1 3.91892- 5 1.29688- 3 4.30000+ 1 4.40000+ 1 1.65012- 4 1.30567- 3 4.30000+ 1 4.60000+ 1 2.06261- 6 1.32478- 3 4.30000+ 1 4.70000+ 1 2.06261- 6 1.32536- 3 4.30000+ 1 5.80000+ 1 5.56906- 5 1.32382- 3 4.40000+ 1 4.40000+ 1 9.96351- 5 1.31446- 3 4.40000+ 1 4.60000+ 1 2.11989- 6 1.33357- 3 4.40000+ 1 4.70000+ 1 4.23978- 6 1.33415- 3 4.40000+ 1 5.80000+ 1 8.47934- 5 1.33261- 3 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.03390- 3 4.66350- 4 2.70000+ 1 2.46018- 4 9.04930- 4 3.20000+ 1 6.91848- 5 1.10402- 3 4.10000+ 1 4.86010- 5 1.16009- 3 5.80000+ 1 5.23771- 6 1.20443- 3 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.00000+ 1 2.07177- 2 2.54600- 5 1.90000+ 1 3.20000+ 1 1.14075- 2 1.13450- 4 1.90000+ 1 3.30000+ 1 1.71734- 2 1.21130- 4 1.90000+ 1 3.50000+ 1 4.08253- 4 2.11890- 4 1.90000+ 1 3.60000+ 1 6.07117- 4 2.12730- 4 1.90000+ 1 4.10000+ 1 2.31850- 3 1.69520- 4 1.90000+ 1 4.30000+ 1 2.54325- 3 1.86920- 4 1.90000+ 1 4.40000+ 1 2.40089- 3 1.95710- 4 1.90000+ 1 4.60000+ 1 5.21659- 5 2.14820- 4 1.90000+ 1 4.70000+ 1 7.45026- 5 2.15400- 4 1.90000+ 1 5.80000+ 1 2.32011- 4 2.13860- 4 2.10000+ 1 2.40000+ 1 9.78131- 2 8.87200- 5 2.10000+ 1 2.50000+ 1 2.34874- 1 9.93100- 5 2.10000+ 1 2.70000+ 1 3.56649- 2 1.61180- 4 2.10000+ 1 2.90000+ 1 2.90119- 2 2.20460- 4 2.10000+ 1 3.00000+ 1 3.61583- 2 2.72280- 4 2.10000+ 1 3.20000+ 1 2.02262- 2 3.60270- 4 2.10000+ 1 3.30000+ 1 3.03104- 2 3.67950- 4 2.10000+ 1 3.50000+ 1 3.41070- 4 4.58710- 4 2.10000+ 1 3.60000+ 1 6.43620- 4 4.59550- 4 2.10000+ 1 4.10000+ 1 6.96444- 3 4.16340- 4 2.10000+ 1 4.30000+ 1 4.54903- 3 4.33740- 4 2.10000+ 1 4.40000+ 1 5.49072- 3 4.42530- 4 2.10000+ 1 4.60000+ 1 1.23143- 4 4.61640- 4 2.10000+ 1 4.70000+ 1 1.64042- 4 4.62220- 4 2.10000+ 1 5.80000+ 1 7.23197- 4 4.60680- 4 2.20000+ 1 2.40000+ 1 4.23201- 2 1.29260- 4 2.20000+ 1 2.50000+ 1 1.08244- 2 1.39850- 4 2.20000+ 1 2.70000+ 1 5.62024- 3 2.01720- 4 2.20000+ 1 2.90000+ 1 2.40813- 2 2.61000- 4 2.20000+ 1 3.00000+ 1 4.91121- 3 3.12820- 4 2.20000+ 1 3.20000+ 1 2.26688- 3 4.00810- 4 2.20000+ 1 3.30000+ 1 2.52856- 3 4.08490- 4 2.20000+ 1 3.50000+ 1 1.30900- 4 4.99250- 4 2.20000+ 1 3.60000+ 1 6.99655- 5 5.00090- 4 2.20000+ 1 4.10000+ 1 8.33096- 4 4.56880- 4 2.20000+ 1 4.30000+ 1 2.65588- 3 4.74280- 4 2.20000+ 1 4.40000+ 1 5.76899- 4 4.83070- 4 2.20000+ 1 4.60000+ 1 1.21307- 5 5.02180- 4 2.20000+ 1 4.70000+ 1 1.34000- 5 5.02760- 4 2.20000+ 1 5.80000+ 1 8.39260- 5 5.01220- 4 2.40000+ 1 2.40000+ 1 2.15106- 3 4.54840- 4 2.40000+ 1 2.50000+ 1 1.17771- 2 4.65430- 4 2.40000+ 1 2.70000+ 1 5.10643- 3 5.27300- 4 2.40000+ 1 2.90000+ 1 2.03112- 2 5.86580- 4 2.40000+ 1 3.00000+ 1 2.75886- 3 6.38400- 4 2.40000+ 1 3.20000+ 1 6.05500- 3 7.26390- 4 2.40000+ 1 3.30000+ 1 4.45800- 3 7.34070- 4 2.40000+ 1 3.50000+ 1 1.18516- 4 8.24830- 4 2.40000+ 1 3.60000+ 1 7.20635- 5 8.25670- 4 2.40000+ 1 4.10000+ 1 1.01078- 3 7.82460- 4 2.40000+ 1 4.30000+ 1 2.27988- 3 7.99860- 4 2.40000+ 1 4.40000+ 1 3.69958- 4 8.08650- 4 2.40000+ 1 4.60000+ 1 3.03632- 5 8.27760- 4 2.40000+ 1 4.70000+ 1 2.47661- 5 8.28340- 4 2.40000+ 1 5.80000+ 1 1.05502- 4 8.26800- 4 2.50000+ 1 2.50000+ 1 5.88363- 4 4.76020- 4 2.50000+ 1 2.70000+ 1 2.85391- 3 5.37890- 4 2.50000+ 1 2.90000+ 1 3.14824- 2 5.97170- 4 2.50000+ 1 3.00000+ 1 1.76348- 3 6.48990- 4 2.50000+ 1 3.20000+ 1 1.26717- 2 7.36980- 4 2.50000+ 1 3.30000+ 1 1.21126- 3 7.44660- 4 2.50000+ 1 3.50000+ 1 3.01856- 5 8.35420- 4 2.50000+ 1 3.60000+ 1 1.53755- 5 8.36260- 4 2.50000+ 1 4.10000+ 1 4.20057- 4 7.93050- 4 2.50000+ 1 4.30000+ 1 3.39814- 3 8.10450- 4 2.50000+ 1 4.40000+ 1 2.23717- 4 8.19240- 4 2.50000+ 1 4.60000+ 1 6.27705- 5 8.38350- 4 2.50000+ 1 4.70000+ 1 6.20657- 6 8.38930- 4 2.50000+ 1 5.80000+ 1 4.18934- 5 8.37390- 4 2.70000+ 1 2.70000+ 1 1.58611- 3 5.99760- 4 2.70000+ 1 2.90000+ 1 2.08336- 2 6.59040- 4 2.70000+ 1 3.00000+ 1 3.98752- 3 7.10860- 4 2.70000+ 1 3.20000+ 1 5.16877- 3 7.98850- 4 2.70000+ 1 3.30000+ 1 3.65760- 3 8.06530- 4 2.70000+ 1 3.50000+ 1 7.34671- 5 8.97290- 4 2.70000+ 1 3.60000+ 1 1.48379- 4 8.98130- 4 2.70000+ 1 4.10000+ 1 4.75388- 4 8.54920- 4 2.70000+ 1 4.30000+ 1 2.21121- 3 8.72320- 4 2.70000+ 1 4.40000+ 1 5.48843- 4 8.81110- 4 2.70000+ 1 4.60000+ 1 2.59298- 5 9.00220- 4 2.70000+ 1 4.70000+ 1 2.01682- 5 9.00800- 4 2.70000+ 1 5.80000+ 1 4.75388- 5 8.99260- 4 2.90000+ 1 2.90000+ 1 1.53469- 2 7.18320- 4 2.90000+ 1 3.00000+ 1 4.02661- 2 7.70140- 4 2.90000+ 1 3.20000+ 1 3.19218- 2 8.58130- 4 2.90000+ 1 3.30000+ 1 5.33085- 2 8.65810- 4 2.90000+ 1 3.50000+ 1 2.57891- 3 9.56570- 4 2.90000+ 1 3.60000+ 1 3.47786- 3 9.57410- 4 2.90000+ 1 4.10000+ 1 4.53164- 3 9.14200- 4 2.90000+ 1 4.30000+ 1 4.26687- 3 9.31600- 4 2.90000+ 1 4.40000+ 1 6.20573- 3 9.40390- 4 2.90000+ 1 4.60000+ 1 2.00426- 4 9.59500- 4 2.90000+ 1 4.70000+ 1 3.00642- 4 9.60080- 4 2.90000+ 1 5.80000+ 1 4.74451- 4 9.58540- 4 3.00000+ 1 3.00000+ 1 1.30017- 3 8.21960- 4 3.00000+ 1 3.20000+ 1 5.48466- 3 9.09950- 4 3.00000+ 1 3.30000+ 1 2.46714- 3 9.17630- 4 3.00000+ 1 3.50000+ 1 8.57836- 5 1.00839- 3 3.00000+ 1 3.60000+ 1 1.22768- 4 1.00923- 3 3.00000+ 1 4.10000+ 1 5.63525- 4 9.66020- 4 3.00000+ 1 4.30000+ 1 4.13566- 3 9.83420- 4 3.00000+ 1 4.40000+ 1 3.37236- 4 9.92210- 4 3.00000+ 1 4.60000+ 1 2.66234- 5 1.01132- 3 3.00000+ 1 4.70000+ 1 1.33126- 5 1.01190- 3 3.00000+ 1 5.80000+ 1 5.62066- 5 1.01036- 3 3.20000+ 1 3.20000+ 1 1.38372- 3 9.97940- 4 3.20000+ 1 3.30000+ 1 2.13568- 3 1.00562- 3 3.20000+ 1 3.50000+ 1 2.59752- 4 1.09638- 3 3.20000+ 1 3.60000+ 1 4.31620- 4 1.09722- 3 3.20000+ 1 4.10000+ 1 6.33803- 4 1.05401- 3 3.20000+ 1 4.30000+ 1 2.21967- 3 1.07141- 3 3.20000+ 1 4.40000+ 1 5.43910- 4 1.08020- 3 3.20000+ 1 4.60000+ 1 1.56242- 5 1.09931- 3 3.20000+ 1 4.70000+ 1 1.17186- 5 1.09989- 3 3.20000+ 1 5.80000+ 1 6.54218- 5 1.09835- 3 3.30000+ 1 3.30000+ 1 3.10488- 4 1.01330- 3 3.30000+ 1 3.50000+ 1 6.94645- 5 1.10406- 3 3.30000+ 1 3.60000+ 1 3.43120- 5 1.10490- 3 3.30000+ 1 4.10000+ 1 2.68643- 4 1.06169- 3 3.30000+ 1 4.30000+ 1 3.14180- 3 1.07909- 3 3.30000+ 1 4.40000+ 1 1.74077- 4 1.08788- 3 3.30000+ 1 4.60000+ 1 8.36959- 6 1.10699- 3 3.30000+ 1 4.70000+ 1 3.34758- 6 1.10757- 3 3.30000+ 1 5.80000+ 1 2.59438- 5 1.10603- 3 3.50000+ 1 3.60000+ 1 1.69776- 6 1.19566- 3 3.50000+ 1 4.10000+ 1 7.64049- 6 1.15245- 3 3.50000+ 1 4.30000+ 1 1.47712- 4 1.16985- 3 3.50000+ 1 4.40000+ 1 5.94185- 6 1.17864- 3 3.50000+ 1 4.60000+ 1 8.48956- 7 1.19775- 3 3.50000+ 1 5.80000+ 1 8.48956- 7 1.19679- 3 3.60000+ 1 4.10000+ 1 1.18845- 5 1.15329- 3 3.60000+ 1 4.30000+ 1 2.00335- 4 1.17069- 3 3.60000+ 1 4.40000+ 1 8.48938- 6 1.17948- 3 3.60000+ 1 4.60000+ 1 1.69773- 6 1.19859- 3 3.60000+ 1 5.80000+ 1 8.48938- 7 1.19763- 3 4.10000+ 1 4.10000+ 1 1.88861- 5 1.11008- 3 4.10000+ 1 4.30000+ 1 2.33427- 4 1.12748- 3 4.10000+ 1 4.40000+ 1 3.92840- 5 1.13627- 3 4.10000+ 1 4.60000+ 1 2.26629- 6 1.15538- 3 4.10000+ 1 4.70000+ 1 1.51082- 6 1.15596- 3 4.10000+ 1 5.80000+ 1 3.77707- 6 1.15442- 3 4.30000+ 1 4.30000+ 1 1.51087- 4 1.14488- 3 4.30000+ 1 4.40000+ 1 3.67915- 4 1.15367- 3 4.30000+ 1 4.60000+ 1 1.19507- 5 1.17278- 3 4.30000+ 1 4.70000+ 1 1.79259- 5 1.17336- 3 4.30000+ 1 5.80000+ 1 2.73155- 5 1.17182- 3 4.40000+ 1 4.40000+ 1 1.09300- 5 1.16246- 3 4.40000+ 1 4.60000+ 1 2.18597- 6 1.18157- 3 4.40000+ 1 4.70000+ 1 7.28700- 7 1.18215- 3 4.40000+ 1 5.80000+ 1 3.64320- 6 1.18061- 3 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.30820- 5 2.46820- 4 2.20000+ 1 1.93390- 4 2.87360- 4 2.70000+ 1 2.70830- 4 6.85400- 4 3.20000+ 1 2.84230- 5 8.84490- 4 3.30000+ 1 1.68510- 4 8.92170- 4 4.10000+ 1 5.23010- 5 9.40560- 4 5.80000+ 1 6.04230- 6 9.84900- 4 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.90000+ 1 1.65557- 2 9.30000- 7 2.10000+ 1 3.00000+ 1 4.57784- 2 5.27500- 5 2.10000+ 1 3.20000+ 1 1.58403- 2 1.40740- 4 2.10000+ 1 3.30000+ 1 2.45205- 2 1.48420- 4 2.10000+ 1 3.50000+ 1 4.23360- 4 2.39180- 4 2.10000+ 1 3.60000+ 1 3.57533- 4 2.40020- 4 2.10000+ 1 4.10000+ 1 3.50417- 3 1.96810- 4 2.10000+ 1 4.30000+ 1 2.49157- 3 2.14210- 4 2.10000+ 1 4.40000+ 1 5.70648- 3 2.23000- 4 2.10000+ 1 4.60000+ 1 8.90571- 5 2.42110- 4 2.10000+ 1 4.70000+ 1 1.21440- 4 2.42690- 4 2.10000+ 1 5.80000+ 1 3.61459- 4 2.41150- 4 2.20000+ 1 2.90000+ 1 1.25662- 1 4.14700- 5 2.20000+ 1 3.00000+ 1 1.41213- 1 9.32900- 5 2.20000+ 1 3.20000+ 1 1.22530- 1 1.81280- 4 2.20000+ 1 3.30000+ 1 1.47479- 1 1.88960- 4 2.20000+ 1 3.50000+ 1 1.40103- 3 2.79720- 4 2.20000+ 1 3.60000+ 1 1.88801- 3 2.80560- 4 2.20000+ 1 4.10000+ 1 2.26848- 2 2.37350- 4 2.20000+ 1 4.30000+ 1 1.99741- 2 2.54750- 4 2.20000+ 1 4.40000+ 1 1.98960- 2 2.63540- 4 2.20000+ 1 4.60000+ 1 6.84659- 4 2.82650- 4 2.20000+ 1 4.70000+ 1 7.70756- 4 2.83230- 4 2.20000+ 1 5.80000+ 1 2.33575- 3 2.81690- 4 2.40000+ 1 2.40000+ 1 8.97515- 4 2.35310- 4 2.40000+ 1 2.50000+ 1 5.46428- 3 2.45900- 4 2.40000+ 1 2.70000+ 1 8.89629- 3 3.07770- 4 2.40000+ 1 2.90000+ 1 4.76425- 3 3.67050- 4 2.40000+ 1 3.00000+ 1 5.42549- 2 4.18870- 4 2.40000+ 1 3.20000+ 1 2.06471- 3 5.06860- 4 2.40000+ 1 3.30000+ 1 7.87425- 3 5.14540- 4 2.40000+ 1 3.50000+ 1 1.06075- 4 6.05300- 4 2.40000+ 1 3.60000+ 1 9.71220- 5 6.06140- 4 2.40000+ 1 4.10000+ 1 1.10331- 3 5.62930- 4 2.40000+ 1 4.30000+ 1 6.70612- 4 5.80330- 4 2.40000+ 1 4.40000+ 1 5.61955- 3 5.89120- 4 2.40000+ 1 4.60000+ 1 1.12726- 5 6.08230- 4 2.40000+ 1 4.70000+ 1 3.46876- 5 6.08810- 4 2.40000+ 1 5.80000+ 1 1.08105- 4 6.07270- 4 2.50000+ 1 2.50000+ 1 4.08575- 3 2.56490- 4 2.50000+ 1 2.70000+ 1 2.05780- 2 3.18360- 4 2.50000+ 1 2.90000+ 1 1.69229- 2 3.77640- 4 2.50000+ 1 3.00000+ 1 6.58848- 2 4.29460- 4 2.50000+ 1 3.20000+ 1 1.60497- 3 5.17450- 4 2.50000+ 1 3.30000+ 1 1.11134- 2 5.25130- 4 2.50000+ 1 3.50000+ 1 3.86646- 4 6.15890- 4 2.50000+ 1 3.60000+ 1 5.05534- 4 6.16730- 4 2.50000+ 1 4.10000+ 1 3.09811- 3 5.73520- 4 2.50000+ 1 4.30000+ 1 2.48613- 3 5.90920- 4 2.50000+ 1 4.40000+ 1 6.90973- 3 5.99710- 4 2.50000+ 1 4.60000+ 1 1.00998- 5 6.18820- 4 2.50000+ 1 4.70000+ 1 5.07835- 5 6.19400- 4 2.50000+ 1 5.80000+ 1 3.13080- 4 6.17860- 4 2.70000+ 1 2.70000+ 1 1.49354- 5 3.80230- 4 2.70000+ 1 2.90000+ 1 2.33707- 4 4.39510- 4 2.70000+ 1 3.00000+ 1 4.93693- 3 4.91330- 4 2.70000+ 1 3.20000+ 1 4.55413- 4 5.79320- 4 2.70000+ 1 3.30000+ 1 7.79025- 4 5.87000- 4 2.70000+ 1 3.50000+ 1 3.42655- 5 6.77760- 4 2.70000+ 1 3.60000+ 1 3.22150- 5 6.78600- 4 2.70000+ 1 4.10000+ 1 9.66446- 6 6.35390- 4 2.70000+ 1 4.30000+ 1 2.48937- 5 6.52790- 4 2.70000+ 1 4.40000+ 1 4.92019- 4 6.61580- 4 2.70000+ 1 4.60000+ 1 2.63576- 6 6.80690- 4 2.70000+ 1 4.70000+ 1 3.51448- 6 6.81270- 4 2.70000+ 1 5.80000+ 1 1.17139- 6 6.79730- 4 2.90000+ 1 3.00000+ 1 5.59516- 3 5.50610- 4 2.90000+ 1 3.20000+ 1 2.48646- 4 6.38600- 4 2.90000+ 1 3.30000+ 1 7.07847- 4 6.46280- 4 2.90000+ 1 3.50000+ 1 2.69441- 5 7.37040- 4 2.90000+ 1 3.60000+ 1 5.50593- 5 7.37880- 4 2.90000+ 1 4.10000+ 1 4.15877- 5 6.94670- 4 2.90000+ 1 4.30000+ 1 3.51448- 6 7.12070- 4 2.90000+ 1 4.40000+ 1 5.72841- 4 7.20860- 4 2.90000+ 1 4.60000+ 1 1.17139- 6 7.39970- 4 2.90000+ 1 4.70000+ 1 2.92873- 6 7.40550- 4 2.90000+ 1 5.80000+ 1 4.39299- 6 7.39010- 4 3.00000+ 1 3.00000+ 1 7.09807- 3 6.02430- 4 3.00000+ 1 3.20000+ 1 8.26898- 3 6.90420- 4 3.00000+ 1 3.30000+ 1 1.10364- 2 6.98100- 4 3.00000+ 1 3.50000+ 1 6.22354- 4 7.88860- 4 3.00000+ 1 3.60000+ 1 7.38925- 4 7.89700- 4 3.00000+ 1 4.10000+ 1 9.94009- 4 7.46490- 4 3.00000+ 1 4.30000+ 1 9.14057- 4 7.63890- 4 3.00000+ 1 4.40000+ 1 1.82284- 3 7.72680- 4 3.00000+ 1 4.60000+ 1 5.12534- 5 7.91790- 4 3.00000+ 1 4.70000+ 1 6.20891- 5 7.92370- 4 3.00000+ 1 5.80000+ 1 1.03977- 4 7.90830- 4 3.20000+ 1 3.20000+ 1 1.66421- 4 7.78410- 4 3.20000+ 1 3.30000+ 1 9.95888- 4 7.86090- 4 3.20000+ 1 3.50000+ 1 1.44336- 5 8.76850- 4 3.20000+ 1 3.60000+ 1 2.44473- 5 8.77690- 4 3.20000+ 1 4.10000+ 1 6.42126- 5 8.34480- 4 3.20000+ 1 4.30000+ 1 4.00599- 5 8.51880- 4 3.20000+ 1 4.40000+ 1 8.61275- 4 8.60670- 4 3.20000+ 1 4.60000+ 1 1.76727- 6 8.79780- 4 3.20000+ 1 4.70000+ 1 4.71289- 6 8.80360- 4 3.20000+ 1 5.80000+ 1 6.48026- 6 8.78820- 4 3.30000+ 1 3.30000+ 1 9.09934- 4 7.93770- 4 3.30000+ 1 3.50000+ 1 4.50326- 5 8.84530- 4 3.30000+ 1 3.60000+ 1 6.16377- 5 8.85370- 4 3.30000+ 1 4.10000+ 1 1.42975- 4 8.42160- 4 3.30000+ 1 4.30000+ 1 1.11736- 4 8.59560- 4 3.30000+ 1 4.40000+ 1 1.11399- 3 8.68350- 4 3.30000+ 1 4.60000+ 1 5.34753- 6 8.87460- 4 3.30000+ 1 4.70000+ 1 9.00645- 6 8.88040- 4 3.30000+ 1 5.80000+ 1 1.46357- 5 8.86500- 4 3.50000+ 1 3.60000+ 1 8.78594- 7 9.76130- 4 3.50000+ 1 4.10000+ 1 4.39299- 6 9.32920- 4 3.50000+ 1 4.30000+ 1 1.75714- 6 9.50320- 4 3.50000+ 1 4.40000+ 1 6.23805- 5 9.59110- 4 3.50000+ 1 4.70000+ 1 2.92873- 7 9.78800- 4 3.50000+ 1 5.80000+ 1 2.92873- 7 9.77260- 4 3.60000+ 1 4.10000+ 1 4.39294- 6 9.33760- 4 3.60000+ 1 4.30000+ 1 3.51444- 6 9.51160- 4 3.60000+ 1 4.40000+ 1 7.38018- 5 9.59950- 4 3.60000+ 1 4.70000+ 1 2.92870- 7 9.79640- 4 3.60000+ 1 5.80000+ 1 2.92870- 7 9.78100- 4 4.10000+ 1 4.30000+ 1 3.57391- 6 9.07950- 4 4.10000+ 1 4.40000+ 1 1.00663- 4 9.16740- 4 4.10000+ 1 4.60000+ 1 2.97826- 7 9.35850- 4 4.10000+ 1 4.70000+ 1 5.95639- 7 9.36430- 4 4.30000+ 1 4.40000+ 1 9.83152- 5 9.34140- 4 4.30000+ 1 4.60000+ 1 3.09175- 7 9.53250- 4 4.30000+ 1 4.70000+ 1 6.18338- 7 9.53830- 4 4.30000+ 1 5.80000+ 1 3.09175- 7 9.52290- 4 4.40000+ 1 4.40000+ 1 1.14150- 4 9.42930- 4 4.40000+ 1 4.60000+ 1 5.42151- 6 9.62040- 4 4.40000+ 1 4.70000+ 1 6.62630- 6 9.62620- 4 4.40000+ 1 5.80000+ 1 1.05425- 5 9.61080- 4 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.50713- 4 3.66120- 4 2.90000+ 1 1.43271- 4 4.97860- 4 3.00000+ 1 1.65081- 5 5.49680- 4 3.50000+ 1 1.09141- 5 7.36110- 4 4.30000+ 1 2.54902- 5 7.11140- 4 4.40000+ 1 2.80522- 6 7.19930- 4 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.50000+ 1 8.25302- 4 3.29000- 5 2.20000+ 1 3.60000+ 1 9.30550- 4 3.37400- 5 2.20000+ 1 4.30000+ 1 1.14846- 3 7.93000- 6 2.20000+ 1 4.40000+ 1 2.71716- 3 1.67200- 5 2.20000+ 1 4.60000+ 1 4.43774- 4 3.58300- 5 2.20000+ 1 4.70000+ 1 8.15655- 5 3.64100- 5 2.20000+ 1 5.80000+ 1 2.16630- 4 3.48700- 5 2.40000+ 1 2.40000+ 1 1.96500- 2 0.00000+ 0 2.40000+ 1 2.50000+ 1 2.84632- 2 0.00000+ 0 2.40000+ 1 2.70000+ 1 1.16675- 1 6.09500- 5 2.40000+ 1 2.90000+ 1 1.02884- 1 1.20230- 4 2.40000+ 1 3.00000+ 1 1.25753- 1 1.72050- 4 2.40000+ 1 3.20000+ 1 1.26443- 1 2.60040- 4 2.40000+ 1 3.30000+ 1 1.32779- 1 2.67720- 4 2.40000+ 1 3.50000+ 1 1.12702- 3 3.58480- 4 2.40000+ 1 3.60000+ 1 7.82745- 4 3.59320- 4 2.40000+ 1 4.10000+ 1 2.30117- 2 3.16110- 4 2.40000+ 1 4.30000+ 1 1.68197- 2 3.33510- 4 2.40000+ 1 4.40000+ 1 1.86792- 2 3.42300- 4 2.40000+ 1 4.60000+ 1 6.65680- 4 3.61410- 4 2.40000+ 1 4.70000+ 1 7.06012- 4 3.61990- 4 2.40000+ 1 5.80000+ 1 2.40566- 3 3.60450- 4 2.50000+ 1 2.50000+ 1 2.11106- 3 9.67000- 6 2.50000+ 1 2.70000+ 1 8.99325- 3 7.15400- 5 2.50000+ 1 2.90000+ 1 1.74475- 2 1.30820- 4 2.50000+ 1 3.00000+ 1 8.12322- 3 1.82640- 4 2.50000+ 1 3.20000+ 1 1.35883- 1 2.70630- 4 2.50000+ 1 3.30000+ 1 5.75034- 3 2.78310- 4 2.50000+ 1 3.50000+ 1 5.31938- 4 3.69070- 4 2.50000+ 1 3.60000+ 1 1.02175- 4 3.69910- 4 2.50000+ 1 4.10000+ 1 1.26245- 3 3.26700- 4 2.50000+ 1 4.30000+ 1 1.79959- 3 3.44100- 4 2.50000+ 1 4.40000+ 1 9.41069- 4 3.52890- 4 2.50000+ 1 4.60000+ 1 6.39368- 4 3.72000- 4 2.50000+ 1 4.70000+ 1 2.89420- 5 3.72580- 4 2.50000+ 1 5.80000+ 1 1.27166- 4 3.71040- 4 2.70000+ 1 2.70000+ 1 8.74846- 4 1.33410- 4 2.70000+ 1 2.90000+ 1 2.12634- 3 1.92690- 4 2.70000+ 1 3.00000+ 1 1.66637- 3 2.44510- 4 2.70000+ 1 3.20000+ 1 1.21741- 2 3.32500- 4 2.70000+ 1 3.30000+ 1 2.22583- 3 3.40180- 4 2.70000+ 1 3.50000+ 1 2.90288- 4 4.30940- 4 2.70000+ 1 3.60000+ 1 2.34183- 4 4.31780- 4 2.70000+ 1 4.10000+ 1 2.00845- 4 3.88570- 4 2.70000+ 1 4.30000+ 1 2.33292- 4 4.05970- 4 2.70000+ 1 4.40000+ 1 1.96901- 4 4.14760- 4 2.70000+ 1 4.60000+ 1 5.52530- 5 4.33870- 4 2.70000+ 1 4.70000+ 1 8.77027- 6 4.34450- 4 2.70000+ 1 5.80000+ 1 2.01716- 5 4.32910- 4 2.90000+ 1 2.90000+ 1 4.30625- 4 2.51970- 4 2.90000+ 1 3.00000+ 1 2.16977- 3 3.03790- 4 2.90000+ 1 3.20000+ 1 8.27032- 3 3.91780- 4 2.90000+ 1 3.30000+ 1 9.86663- 4 3.99460- 4 2.90000+ 1 3.50000+ 1 4.95531- 5 4.90220- 4 2.90000+ 1 3.60000+ 1 3.99059- 5 4.91060- 4 2.90000+ 1 4.10000+ 1 1.48652- 4 4.47850- 4 2.90000+ 1 4.30000+ 1 9.69129- 5 4.65250- 4 2.90000+ 1 4.40000+ 1 1.87242- 4 4.74040- 4 2.90000+ 1 4.60000+ 1 3.81503- 5 4.93150- 4 2.90000+ 1 4.70000+ 1 5.26226- 6 4.93730- 4 2.90000+ 1 5.80000+ 1 1.40325- 5 4.92190- 4 3.00000+ 1 3.00000+ 1 7.56010- 4 3.55610- 4 3.00000+ 1 3.20000+ 1 1.62504- 2 4.43600- 4 3.00000+ 1 3.30000+ 1 1.39284- 3 4.51280- 4 3.00000+ 1 3.50000+ 1 1.25018- 4 5.42040- 4 3.00000+ 1 3.60000+ 1 6.69305- 5 5.42880- 4 3.00000+ 1 4.10000+ 1 7.66117- 5 4.99670- 4 3.00000+ 1 4.30000+ 1 1.62907- 4 5.17070- 4 3.00000+ 1 4.40000+ 1 1.37219- 4 5.25860- 4 3.00000+ 1 4.60000+ 1 7.57691- 5 5.44970- 4 3.00000+ 1 4.70000+ 1 6.31415- 6 5.45550- 4 3.00000+ 1 5.80000+ 1 7.15602- 6 5.44010- 4 3.20000+ 1 3.20000+ 1 1.05057- 2 5.31590- 4 3.20000+ 1 3.30000+ 1 2.05299- 2 5.39270- 4 3.20000+ 1 3.50000+ 1 1.03926- 3 6.30030- 4 3.20000+ 1 3.60000+ 1 1.41728- 3 6.30870- 4 3.20000+ 1 4.10000+ 1 1.85662- 3 5.87660- 4 3.20000+ 1 4.30000+ 1 1.37744- 3 6.05060- 4 3.20000+ 1 4.40000+ 1 2.48955- 3 6.13850- 4 3.20000+ 1 4.60000+ 1 1.14455- 4 6.32960- 4 3.20000+ 1 4.70000+ 1 1.14455- 4 6.33540- 4 3.20000+ 1 5.80000+ 1 1.91628- 4 6.32000- 4 3.30000+ 1 3.30000+ 1 3.14582- 4 5.46950- 4 3.30000+ 1 3.50000+ 1 1.15754- 4 6.37710- 4 3.30000+ 1 3.60000+ 1 3.65352- 5 6.38550- 4 3.30000+ 1 4.10000+ 1 6.61470- 5 5.95340- 4 3.30000+ 1 4.30000+ 1 7.07629- 5 6.12740- 4 3.30000+ 1 4.40000+ 1 1.26909- 4 6.21530- 4 3.30000+ 1 4.60000+ 1 8.42218- 5 6.40640- 4 3.30000+ 1 4.70000+ 1 3.07665- 6 6.41220- 4 3.30000+ 1 5.80000+ 1 6.53781- 6 6.39680- 4 3.50000+ 1 3.60000+ 1 4.82378- 6 7.29310- 4 3.50000+ 1 4.10000+ 1 1.88566- 5 6.86100- 4 3.50000+ 1 4.30000+ 1 7.89333- 6 7.03500- 4 3.50000+ 1 4.40000+ 1 1.53478- 5 7.12290- 4 3.50000+ 1 4.60000+ 1 4.82378- 6 7.31400- 4 3.50000+ 1 4.70000+ 1 8.77035- 7 7.31980- 4 3.50000+ 1 5.80000+ 1 1.75406- 6 7.30440- 4 3.60000+ 1 4.10000+ 1 1.05237- 5 6.86940- 4 3.60000+ 1 4.30000+ 1 5.26230- 6 7.04340- 4 3.60000+ 1 4.40000+ 1 7.01636- 6 7.13130- 4 3.60000+ 1 4.60000+ 1 6.57779- 6 7.32240- 4 3.60000+ 1 5.80000+ 1 8.77029- 7 7.31280- 4 4.10000+ 1 4.10000+ 1 4.51370- 6 6.43730- 4 4.10000+ 1 4.30000+ 1 9.02719- 6 6.61130- 4 4.10000+ 1 4.40000+ 1 6.94394- 6 6.69920- 4 4.10000+ 1 4.60000+ 1 6.59679- 6 6.89030- 4 4.10000+ 1 4.70000+ 1 3.47206- 7 6.89610- 4 4.10000+ 1 5.80000+ 1 6.94394- 7 6.88070- 4 4.30000+ 1 4.30000+ 1 1.29908- 6 6.78530- 4 4.30000+ 1 4.40000+ 1 1.03929- 5 6.87320- 4 4.30000+ 1 4.60000+ 1 4.54684- 6 7.06430- 4 4.30000+ 1 4.70000+ 1 3.24782- 7 7.07010- 4 4.30000+ 1 5.80000+ 1 6.49546- 7 7.05470- 4 4.40000+ 1 4.40000+ 1 2.61658- 6 6.96110- 4 4.40000+ 1 4.60000+ 1 4.70974- 6 7.15220- 4 4.40000+ 1 4.70000+ 1 3.48873- 7 7.15800- 4 4.40000+ 1 5.80000+ 1 3.48873- 7 7.14260- 4 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.72950- 5 3.25580- 4 2.50000+ 1 3.89751- 4 3.36170- 4 3.00000+ 1 1.22340- 4 5.09140- 4 3.50000+ 1 7.50421- 7 6.95570- 4 3.60000+ 1 1.23660- 5 6.96410- 4 4.40000+ 1 2.07540- 5 6.79390- 4 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.70000+ 1 1.27074- 2 2.04100- 5 2.40000+ 1 2.90000+ 1 8.47852- 3 7.96900- 5 2.40000+ 1 3.00000+ 1 1.58095- 2 1.31510- 4 2.40000+ 1 3.20000+ 1 7.47334- 3 2.19500- 4 2.40000+ 1 3.30000+ 1 1.07453- 1 2.27180- 4 2.40000+ 1 3.50000+ 1 1.71339- 4 3.17940- 4 2.40000+ 1 3.60000+ 1 2.85439- 4 3.18780- 4 2.40000+ 1 4.10000+ 1 2.07991- 3 2.75570- 4 2.40000+ 1 4.30000+ 1 1.33053- 3 2.92970- 4 2.40000+ 1 4.40000+ 1 1.94628- 3 3.01760- 4 2.40000+ 1 4.60000+ 1 4.28369- 5 3.20870- 4 2.40000+ 1 4.70000+ 1 4.69076- 4 3.21450- 4 2.40000+ 1 5.80000+ 1 2.12904- 4 3.19910- 4 2.50000+ 1 2.70000+ 1 1.15886- 1 3.10000- 5 2.50000+ 1 2.90000+ 1 1.24087- 1 9.02800- 5 2.50000+ 1 3.00000+ 1 1.14002- 1 1.42100- 4 2.50000+ 1 3.20000+ 1 1.12019- 1 2.30090- 4 2.50000+ 1 3.30000+ 1 2.02992- 1 2.37770- 4 2.50000+ 1 3.50000+ 1 6.77762- 4 3.28530- 4 2.50000+ 1 3.60000+ 1 1.49288- 3 3.29370- 4 2.50000+ 1 4.10000+ 1 2.28612- 2 2.86160- 4 2.50000+ 1 4.30000+ 1 1.94990- 2 3.03560- 4 2.50000+ 1 4.40000+ 1 1.71561- 2 3.12350- 4 2.50000+ 1 4.60000+ 1 6.39157- 4 3.31460- 4 2.50000+ 1 4.70000+ 1 9.82264- 4 3.32040- 4 2.50000+ 1 5.80000+ 1 2.37680- 3 3.30500- 4 2.70000+ 1 2.70000+ 1 1.59236- 3 9.28700- 5 2.70000+ 1 2.90000+ 1 2.24057- 3 1.52150- 4 2.70000+ 1 3.00000+ 1 3.53611- 3 2.03970- 4 2.70000+ 1 3.20000+ 1 3.14744- 3 2.91960- 4 2.70000+ 1 3.30000+ 1 1.50083- 2 2.99640- 4 2.70000+ 1 3.50000+ 1 2.75013- 4 3.90400- 4 2.70000+ 1 3.60000+ 1 4.29570- 4 3.91240- 4 2.70000+ 1 4.10000+ 1 3.53665- 4 3.48030- 4 2.70000+ 1 4.30000+ 1 2.53192- 4 3.65430- 4 2.70000+ 1 4.40000+ 1 4.12301- 4 3.74220- 4 2.70000+ 1 4.60000+ 1 1.31830- 5 3.93330- 4 2.70000+ 1 4.70000+ 1 6.13661- 5 3.93910- 4 2.70000+ 1 5.80000+ 1 3.50012- 5 3.92370- 4 2.90000+ 1 2.90000+ 1 2.90899- 4 2.11430- 4 2.90000+ 1 3.00000+ 1 3.86783- 3 2.63250- 4 2.90000+ 1 3.20000+ 1 5.47389- 4 3.51240- 4 2.90000+ 1 3.30000+ 1 1.25014- 2 3.58920- 4 2.90000+ 1 3.50000+ 1 4.53134- 5 4.49680- 4 2.90000+ 1 3.60000+ 1 1.03767- 4 4.50520- 4 2.90000+ 1 4.10000+ 1 1.50885- 4 4.07310- 4 2.90000+ 1 4.30000+ 1 6.52493- 5 4.24710- 4 2.90000+ 1 4.40000+ 1 3.47093- 4 4.33500- 4 2.90000+ 1 4.60000+ 1 2.26551- 6 4.52610- 4 2.90000+ 1 4.70000+ 1 5.34698- 5 4.53190- 4 2.90000+ 1 5.80000+ 1 1.45008- 5 4.51650- 4 3.00000+ 1 3.00000+ 1 1.19050- 3 3.15070- 4 3.00000+ 1 3.20000+ 1 2.02256- 3 4.03060- 4 3.00000+ 1 3.30000+ 1 1.55587- 2 4.10740- 4 3.00000+ 1 3.50000+ 1 8.72705- 5 5.01500- 4 3.00000+ 1 3.60000+ 1 1.21492- 4 5.02340- 4 3.00000+ 1 4.10000+ 1 1.15934- 4 4.59130- 4 3.00000+ 1 4.30000+ 1 1.77529- 4 4.76530- 4 3.00000+ 1 4.40000+ 1 2.18610- 4 4.85320- 4 3.00000+ 1 4.60000+ 1 1.06948- 5 5.04430- 4 3.00000+ 1 4.70000+ 1 6.58803- 5 5.05010- 4 3.00000+ 1 5.80000+ 1 9.83935- 6 5.03470- 4 3.20000+ 1 3.20000+ 1 1.38681- 4 4.91050- 4 3.20000+ 1 3.30000+ 1 1.48846- 2 4.98730- 4 3.20000+ 1 3.50000+ 1 2.79914- 5 5.89490- 4 3.20000+ 1 3.60000+ 1 1.06883- 4 5.90330- 4 3.20000+ 1 4.10000+ 1 7.67630- 5 5.47120- 4 3.20000+ 1 4.30000+ 1 4.87722- 5 5.64520- 4 3.20000+ 1 4.40000+ 1 2.09094- 4 5.73310- 4 3.20000+ 1 4.60000+ 1 1.27232- 6 5.92420- 4 3.20000+ 1 4.70000+ 1 6.31933- 5 5.93000- 4 3.20000+ 1 5.80000+ 1 6.78575- 6 5.91460- 4 3.30000+ 1 3.30000+ 1 1.66690- 2 5.06410- 4 3.30000+ 1 3.50000+ 1 1.16692- 3 5.97170- 4 3.30000+ 1 3.60000+ 1 1.38056- 3 5.98010- 4 3.30000+ 1 4.10000+ 1 1.89079- 3 5.54800- 4 3.30000+ 1 4.30000+ 1 1.75183- 3 5.72200- 4 3.30000+ 1 4.40000+ 1 2.33555- 3 5.80990- 4 3.30000+ 1 4.60000+ 1 9.14407- 5 6.00100- 4 3.30000+ 1 4.70000+ 1 1.64079- 4 6.00680- 4 3.30000+ 1 5.80000+ 1 1.94842- 4 5.99140- 4 3.50000+ 1 3.60000+ 1 3.81719- 6 6.88770- 4 3.50000+ 1 4.10000+ 1 1.18755- 5 6.45560- 4 3.50000+ 1 4.30000+ 1 4.24131- 6 6.62960- 4 3.50000+ 1 4.40000+ 1 8.05834- 6 6.71750- 4 3.50000+ 1 4.70000+ 1 4.66543- 6 6.91440- 4 3.50000+ 1 5.80000+ 1 8.48246- 7 6.89900- 4 3.60000+ 1 3.60000+ 1 4.24131- 7 6.89610- 4 3.60000+ 1 4.10000+ 1 2.20551- 5 6.46400- 4 3.60000+ 1 4.30000+ 1 9.33071- 6 6.63800- 4 3.60000+ 1 4.40000+ 1 1.35727- 5 6.72590- 4 3.60000+ 1 4.60000+ 1 4.24131- 7 6.91700- 4 3.60000+ 1 4.70000+ 1 5.93779- 6 6.92280- 4 3.60000+ 1 5.80000+ 1 2.12051- 6 6.90740- 4 4.10000+ 1 4.10000+ 1 9.19439- 6 6.03190- 4 4.10000+ 1 4.30000+ 1 1.18757- 5 6.20590- 4 4.10000+ 1 4.40000+ 1 1.30242- 5 6.29380- 4 4.10000+ 1 4.60000+ 1 3.83087- 7 6.48490- 4 4.10000+ 1 4.70000+ 1 6.89533- 6 6.49070- 4 4.10000+ 1 5.80000+ 1 1.53231- 6 6.47530- 4 4.30000+ 1 4.30000+ 1 1.85501- 6 6.37990- 4 4.30000+ 1 4.40000+ 1 1.48407- 5 6.46780- 4 4.30000+ 1 4.70000+ 1 6.67828- 6 6.66470- 4 4.30000+ 1 5.80000+ 1 1.11305- 6 6.64930- 4 4.40000+ 1 4.40000+ 1 6.78516- 6 6.55570- 4 4.40000+ 1 4.60000+ 1 7.82873- 7 6.74680- 4 4.40000+ 1 4.70000+ 1 6.00212- 6 6.75260- 4 4.40000+ 1 5.80000+ 1 7.82873- 7 6.73720- 4 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 6.17953- 5 2.71550- 4 3.30000+ 1 3.97049- 6 2.79230- 4 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 3.50000+ 1 3.16696- 2 2.95000- 6 2.50000+ 1 3.60000+ 1 1.46925- 3 3.79000- 6 2.50000+ 1 4.60000+ 1 1.34054- 4 5.88000- 6 2.50000+ 1 4.70000+ 1 1.36207- 4 6.46000- 6 2.50000+ 1 5.80000+ 1 1.87678- 4 4.92000- 6 2.70000+ 1 3.50000+ 1 3.11728- 2 6.48200- 5 2.70000+ 1 3.60000+ 1 3.38782- 3 6.56600- 5 2.70000+ 1 4.10000+ 1 6.05601- 3 2.24500- 5 2.70000+ 1 4.30000+ 1 4.39310- 3 3.98500- 5 2.70000+ 1 4.40000+ 1 9.17100- 3 4.86400- 5 2.70000+ 1 4.60000+ 1 1.24099- 4 6.77500- 5 2.70000+ 1 4.70000+ 1 2.23386- 4 6.83300- 5 2.70000+ 1 5.80000+ 1 4.09523- 4 6.67900- 5 2.90000+ 1 3.20000+ 1 4.76323- 2 2.56600- 5 2.90000+ 1 3.30000+ 1 6.27879- 2 3.33400- 5 2.90000+ 1 3.50000+ 1 3.44496- 2 1.24100- 4 2.90000+ 1 3.60000+ 1 8.32526- 3 1.24940- 4 2.90000+ 1 4.10000+ 1 2.82996- 2 8.17300- 5 2.90000+ 1 4.30000+ 1 1.51297- 2 9.91300- 5 2.90000+ 1 4.40000+ 1 2.67775- 2 1.07920- 4 2.90000+ 1 4.60000+ 1 1.17410- 3 1.27030- 4 2.90000+ 1 4.70000+ 1 1.37426- 3 1.27610- 4 2.90000+ 1 5.80000+ 1 2.78863- 3 1.26070- 4 3.00000+ 1 3.20000+ 1 1.37294- 1 7.74800- 5 3.00000+ 1 3.30000+ 1 1.08389- 1 8.51600- 5 3.00000+ 1 3.50000+ 1 4.96380- 2 1.75920- 4 3.00000+ 1 3.60000+ 1 2.94117- 3 1.76760- 4 3.00000+ 1 4.10000+ 1 1.22239- 2 1.33550- 4 3.00000+ 1 4.30000+ 1 9.09616- 3 1.50950- 4 3.00000+ 1 4.40000+ 1 6.29187- 3 1.59740- 4 3.00000+ 1 4.60000+ 1 6.82546- 4 1.78850- 4 3.00000+ 1 4.70000+ 1 5.08782- 4 1.79430- 4 3.00000+ 1 5.80000+ 1 1.04243- 3 1.77890- 4 3.20000+ 1 3.20000+ 1 4.62400- 2 1.65470- 4 3.20000+ 1 3.30000+ 1 7.43833- 2 1.73150- 4 3.20000+ 1 3.50000+ 1 4.65869- 2 2.63910- 4 3.20000+ 1 3.60000+ 1 1.03249- 2 2.64750- 4 3.20000+ 1 4.10000+ 1 5.12532- 3 2.21540- 4 3.20000+ 1 4.30000+ 1 2.09229- 2 2.38940- 4 3.20000+ 1 4.40000+ 1 1.44821- 2 2.47730- 4 3.20000+ 1 4.60000+ 1 3.47475- 4 2.66840- 4 3.20000+ 1 4.70000+ 1 3.47475- 4 2.67420- 4 3.20000+ 1 5.80000+ 1 5.58444- 4 2.65880- 4 3.30000+ 1 3.30000+ 1 1.31546- 2 1.80830- 4 3.30000+ 1 3.50000+ 1 6.36276- 2 2.71590- 4 3.30000+ 1 3.60000+ 1 2.22147- 3 2.72430- 4 3.30000+ 1 4.10000+ 1 2.99093- 3 2.29220- 4 3.30000+ 1 4.30000+ 1 1.61567- 2 2.46620- 4 3.30000+ 1 4.40000+ 1 7.55760- 3 2.55410- 4 3.30000+ 1 4.60000+ 1 2.10976- 4 2.74520- 4 3.30000+ 1 4.70000+ 1 1.11693- 4 2.75100- 4 3.30000+ 1 5.80000+ 1 2.97848- 4 2.73560- 4 3.50000+ 1 3.60000+ 1 5.05097- 3 3.63190- 4 3.50000+ 1 4.10000+ 1 5.69626- 3 3.19980- 4 3.50000+ 1 4.30000+ 1 4.87712- 3 3.37380- 4 3.50000+ 1 4.40000+ 1 7.17300- 3 3.46170- 4 3.50000+ 1 4.60000+ 1 2.48189- 4 3.65280- 4 3.50000+ 1 4.70000+ 1 3.35072- 4 3.65860- 4 3.50000+ 1 5.80000+ 1 5.83260- 4 3.64320- 4 3.60000+ 1 3.60000+ 1 1.24098- 5 3.64030- 4 3.60000+ 1 4.10000+ 1 1.61322- 4 3.20820- 4 3.60000+ 1 4.30000+ 1 5.08780- 4 3.38220- 4 3.60000+ 1 4.40000+ 1 2.23385- 4 3.47010- 4 3.60000+ 1 4.60000+ 1 2.48189- 5 3.66120- 4 3.60000+ 1 4.70000+ 1 1.24098- 5 3.66700- 4 3.60000+ 1 5.80000+ 1 1.24098- 5 3.65160- 4 4.10000+ 1 4.10000+ 1 9.27083- 5 2.77610- 4 4.10000+ 1 4.30000+ 1 1.16547- 3 2.95010- 4 4.10000+ 1 4.40000+ 1 8.60874- 4 3.03800- 4 4.10000+ 1 4.60000+ 1 1.32444- 5 3.22910- 4 4.10000+ 1 4.70000+ 1 1.32444- 5 3.23490- 4 4.10000+ 1 5.80000+ 1 1.32444- 5 3.21950- 4 4.30000+ 1 4.30000+ 1 4.29087- 4 3.12410- 4 4.30000+ 1 4.40000+ 1 7.77724- 4 3.21200- 4 4.30000+ 1 4.60000+ 1 8.04526- 5 3.40310- 4 4.30000+ 1 4.70000+ 1 6.70445- 5 3.40890- 4 4.30000+ 1 5.80000+ 1 1.20684- 4 3.39350- 4 4.40000+ 1 4.40000+ 1 1.75497- 4 3.29990- 4 4.40000+ 1 4.60000+ 1 5.84970- 5 3.49100- 4 4.40000+ 1 4.70000+ 1 2.92485- 5 3.49680- 4 4.40000+ 1 5.80000+ 1 8.77454- 5 3.48140- 4 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 6.12499- 5 2.68640- 4 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 3.50000+ 1 2.11931- 3 5.42300- 5 2.70000+ 1 3.60000+ 1 3.17519- 2 5.50700- 5 2.70000+ 1 4.10000+ 1 4.12154- 3 1.18600- 5 2.70000+ 1 4.30000+ 1 4.51168- 3 2.92600- 5 2.70000+ 1 4.40000+ 1 7.19031- 3 3.80500- 5 2.70000+ 1 4.60000+ 1 2.21036- 4 5.71600- 5 2.70000+ 1 4.70000+ 1 2.34025- 4 5.77400- 5 2.70000+ 1 5.80000+ 1 5.59103- 4 5.62000- 5 2.90000+ 1 3.20000+ 1 1.08856- 2 1.50700- 5 2.90000+ 1 3.30000+ 1 2.12814- 2 2.27500- 5 2.90000+ 1 3.50000+ 1 3.70577- 4 1.13510- 4 2.90000+ 1 3.60000+ 1 2.51677- 2 1.14350- 4 2.90000+ 1 4.10000+ 1 4.16117- 3 7.11400- 5 2.90000+ 1 4.30000+ 1 1.05881- 3 8.85400- 5 2.90000+ 1 4.40000+ 1 3.07055- 3 9.73300- 5 2.90000+ 1 4.60000+ 1 1.48229- 4 1.16440- 4 2.90000+ 1 4.70000+ 1 1.58826- 4 1.17020- 4 2.90000+ 1 5.80000+ 1 4.87055- 4 1.15480- 4 3.00000+ 1 3.20000+ 1 1.44146- 1 6.68900- 5 3.00000+ 1 3.30000+ 1 3.43788- 1 7.45700- 5 3.00000+ 1 3.50000+ 1 7.27606- 3 1.65330- 4 3.00000+ 1 3.60000+ 1 4.72568- 2 1.66170- 4 3.00000+ 1 4.10000+ 1 2.01937- 2 1.22960- 4 3.00000+ 1 4.30000+ 1 7.14805- 3 1.40360- 4 3.00000+ 1 4.40000+ 1 2.14648- 2 1.49150- 4 3.00000+ 1 4.60000+ 1 8.76154- 4 1.68260- 4 3.00000+ 1 4.70000+ 1 1.69886- 3 1.68840- 4 3.00000+ 1 5.80000+ 1 1.89117- 3 1.67300- 4 3.20000+ 1 3.20000+ 1 5.47442- 3 1.54880- 4 3.20000+ 1 3.30000+ 1 5.63837- 2 1.62560- 4 3.20000+ 1 3.50000+ 1 1.20348- 3 2.53320- 4 3.20000+ 1 3.60000+ 1 3.85019- 2 2.54160- 4 3.20000+ 1 4.10000+ 1 2.13007- 3 2.10950- 4 3.20000+ 1 4.30000+ 1 2.13007- 3 2.28350- 4 3.20000+ 1 4.40000+ 1 1.14701- 2 2.37140- 4 3.20000+ 1 4.60000+ 1 4.26023- 5 2.56250- 4 3.20000+ 1 4.70000+ 1 1.70407- 4 2.56830- 4 3.20000+ 1 5.80000+ 1 2.13007- 4 2.55290- 4 3.30000+ 1 3.30000+ 1 4.59925- 2 1.70240- 4 3.30000+ 1 3.50000+ 1 7.68679- 3 2.61000- 4 3.30000+ 1 3.60000+ 1 5.57236- 2 2.61840- 4 3.30000+ 1 4.10000+ 1 4.89146- 3 2.18630- 4 3.30000+ 1 4.30000+ 1 5.41056- 3 2.36030- 4 3.30000+ 1 4.40000+ 1 2.47014- 2 2.44820- 4 3.30000+ 1 4.60000+ 1 2.96463- 4 2.63930- 4 3.30000+ 1 4.70000+ 1 3.28224- 4 2.64510- 4 3.30000+ 1 5.80000+ 1 5.18798- 4 2.62970- 4 3.50000+ 1 3.60000+ 1 3.42000- 3 3.52600- 4 3.50000+ 1 4.10000+ 1 1.27056- 4 3.09390- 4 3.50000+ 1 4.30000+ 1 3.17645- 5 3.26790- 4 3.50000+ 1 4.40000+ 1 5.18810- 4 3.35580- 4 3.50000+ 1 4.70000+ 1 2.11753- 5 3.55270- 4 3.50000+ 1 5.80000+ 1 1.05882- 5 3.53730- 4 3.60000+ 1 3.60000+ 1 4.97628- 4 3.53440- 4 3.60000+ 1 4.10000+ 1 4.80688- 3 3.10230- 4 3.60000+ 1 4.30000+ 1 4.00229- 3 3.27630- 4 3.60000+ 1 4.40000+ 1 6.32093- 3 3.36420- 4 3.60000+ 1 4.60000+ 1 2.22342- 4 3.55530- 4 3.60000+ 1 4.70000+ 1 2.75285- 4 3.56110- 4 3.60000+ 1 5.80000+ 1 4.97628- 4 3.54570- 4 4.10000+ 1 4.10000+ 1 6.35276- 5 2.67020- 4 4.10000+ 1 4.30000+ 1 3.91769- 4 2.84420- 4 4.10000+ 1 4.40000+ 1 1.05884- 3 2.93210- 4 4.10000+ 1 4.60000+ 1 1.05884- 5 3.12320- 4 4.10000+ 1 4.70000+ 1 1.05884- 5 3.12900- 4 4.10000+ 1 5.80000+ 1 1.05884- 5 3.11360- 4 4.30000+ 1 4.30000+ 1 4.23514- 5 3.01820- 4 4.30000+ 1 4.40000+ 1 3.28230- 4 3.10610- 4 4.30000+ 1 4.60000+ 1 1.05882- 5 3.29720- 4 4.30000+ 1 4.70000+ 1 1.05882- 5 3.30300- 4 4.30000+ 1 5.80000+ 1 4.23514- 5 3.28760- 4 4.40000+ 1 4.40000+ 1 4.76467- 4 3.19400- 4 4.40000+ 1 4.60000+ 1 4.23513- 5 3.38510- 4 4.40000+ 1 4.70000+ 1 8.47065- 5 3.39090- 4 4.40000+ 1 5.80000+ 1 9.52937- 5 3.37550- 4 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.41091- 6 5.92800- 5 3.00000+ 1 1.91281- 5 1.11100- 4 4.30000+ 1 2.68077- 6 2.72560- 4 4.40000+ 1 4.06136- 8 2.81350- 4 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.50000+ 1 1.68598- 2 5.16400- 5 2.90000+ 1 3.60000+ 1 2.74465- 2 5.24800- 5 2.90000+ 1 4.10000+ 1 2.90316- 2 9.27000- 6 2.90000+ 1 4.30000+ 1 1.89697- 2 2.66700- 5 2.90000+ 1 4.40000+ 1 3.68866- 2 3.54600- 5 2.90000+ 1 4.60000+ 1 8.22997- 4 5.45700- 5 2.90000+ 1 4.70000+ 1 1.74442- 3 5.51500- 5 2.90000+ 1 5.80000+ 1 2.89885- 3 5.36100- 5 3.00000+ 1 3.20000+ 1 2.71844- 1 5.02000- 6 3.00000+ 1 3.30000+ 1 2.49396- 1 1.27000- 5 3.00000+ 1 3.50000+ 1 3.09239- 2 1.03460- 4 3.00000+ 1 3.60000+ 1 2.99873- 2 1.04300- 4 3.00000+ 1 4.10000+ 1 2.49756- 2 6.10900- 5 3.00000+ 1 4.30000+ 1 2.46910- 2 7.84900- 5 3.00000+ 1 4.40000+ 1 2.34787- 2 8.72800- 5 3.00000+ 1 4.60000+ 1 1.28722- 3 1.06390- 4 3.00000+ 1 4.70000+ 1 1.21562- 3 1.06970- 4 3.00000+ 1 5.80000+ 1 2.57255- 3 1.05430- 4 3.20000+ 1 3.20000+ 1 1.85864- 3 9.30100- 5 3.20000+ 1 3.30000+ 1 1.28528- 1 1.00690- 4 3.20000+ 1 3.50000+ 1 8.45324- 4 1.91450- 4 3.20000+ 1 3.60000+ 1 2.78380- 3 1.92290- 4 3.20000+ 1 4.10000+ 1 7.34693- 3 1.49080- 4 3.20000+ 1 4.30000+ 1 1.32311- 3 1.66480- 4 3.20000+ 1 4.40000+ 1 6.36399- 3 1.75270- 4 3.20000+ 1 4.60000+ 1 3.17049- 5 1.94380- 4 3.20000+ 1 4.70000+ 1 3.12357- 4 1.94960- 4 3.20000+ 1 5.80000+ 1 6.07064- 4 1.93420- 4 3.30000+ 1 3.30000+ 1 2.75975- 2 1.08370- 4 3.30000+ 1 3.50000+ 1 2.68823- 3 1.99130- 4 3.30000+ 1 3.60000+ 1 1.85565- 3 1.99970- 4 3.30000+ 1 4.10000+ 1 8.76452- 3 1.56760- 4 3.30000+ 1 4.30000+ 1 3.89774- 3 1.74160- 4 3.30000+ 1 4.40000+ 1 3.53120- 3 1.82950- 4 3.30000+ 1 4.60000+ 1 2.64476- 4 2.02060- 4 3.30000+ 1 4.70000+ 1 1.46955- 4 2.02640- 4 3.30000+ 1 5.80000+ 1 7.21878- 4 2.01100- 4 3.50000+ 1 3.60000+ 1 6.73509- 5 2.90730- 4 3.50000+ 1 4.10000+ 1 5.52775- 4 2.47520- 4 3.50000+ 1 4.30000+ 1 4.42765- 5 2.64920- 4 3.50000+ 1 4.40000+ 1 1.95077- 4 2.73710- 4 3.50000+ 1 4.60000+ 1 2.12032- 6 2.92820- 4 3.50000+ 1 4.70000+ 1 6.61048- 6 2.93400- 4 3.50000+ 1 5.80000+ 1 4.12829- 5 2.91860- 4 3.60000+ 1 3.60000+ 1 1.87088- 6 2.91570- 4 3.60000+ 1 4.10000+ 1 6.87948- 4 2.48360- 4 3.60000+ 1 4.30000+ 1 1.20484- 4 2.65760- 4 3.60000+ 1 4.40000+ 1 1.15242- 4 2.74550- 4 3.60000+ 1 4.60000+ 1 5.48791- 6 2.93660- 4 3.60000+ 1 4.70000+ 1 4.86412- 6 2.94240- 4 3.60000+ 1 5.80000+ 1 5.13862- 5 2.92700- 4 4.10000+ 1 4.10000+ 1 6.38064- 4 2.05150- 4 4.10000+ 1 4.30000+ 1 7.52995- 4 2.22550- 4 4.10000+ 1 4.40000+ 1 1.12979- 3 2.31340- 4 4.10000+ 1 4.60000+ 1 3.98616- 5 2.50450- 4 4.10000+ 1 4.70000+ 1 5.09259- 5 2.51030- 4 4.10000+ 1 5.80000+ 1 1.14177- 4 2.49490- 4 4.30000+ 1 4.30000+ 1 6.69760- 5 2.39950- 4 4.30000+ 1 4.40000+ 1 4.00609- 4 2.48740- 4 4.30000+ 1 4.60000+ 1 4.11584- 6 2.67850- 4 4.30000+ 1 4.70000+ 1 1.19736- 5 2.68430- 4 4.30000+ 1 5.80000+ 1 5.51271- 5 2.66890- 4 4.40000+ 1 4.40000+ 1 1.93698- 4 2.57530- 4 4.40000+ 1 4.60000+ 1 1.93328- 5 2.76640- 4 4.40000+ 1 4.70000+ 1 1.34703- 5 2.77220- 4 4.40000+ 1 5.80000+ 1 8.74302- 5 2.75680- 4 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.38259- 5 1.39810- 4 4.10000+ 1 3.94729- 6 1.95880- 4 5.80000+ 1 5.10148- 7 2.40220- 4 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.50000+ 1 7.01962- 3 4.41800- 5 3.00000+ 1 3.60000+ 1 4.51022- 3 4.50200- 5 3.00000+ 1 4.10000+ 1 1.85226- 2 1.81000- 6 3.00000+ 1 4.30000+ 1 1.09403- 2 1.92100- 5 3.00000+ 1 4.40000+ 1 8.70916- 3 2.80000- 5 3.00000+ 1 4.60000+ 1 5.36957- 4 4.71100- 5 3.00000+ 1 4.70000+ 1 6.09273- 4 4.76900- 5 3.00000+ 1 5.80000+ 1 1.32570- 3 4.61500- 5 3.20000+ 1 3.20000+ 1 1.24596- 1 3.37300- 5 3.20000+ 1 3.30000+ 1 5.32448- 1 4.14100- 5 3.20000+ 1 3.50000+ 1 2.29216- 2 1.32170- 4 3.20000+ 1 3.60000+ 1 5.05095- 2 1.33010- 4 3.20000+ 1 4.10000+ 1 4.47615- 2 8.98000- 5 3.20000+ 1 4.30000+ 1 3.00120- 2 1.07200- 4 3.20000+ 1 4.40000+ 1 4.89475- 2 1.15990- 4 3.20000+ 1 4.60000+ 1 1.12665- 3 1.35100- 4 3.20000+ 1 4.70000+ 1 2.42192- 3 1.35680- 4 3.20000+ 1 5.80000+ 1 4.69271- 3 1.34140- 4 3.30000+ 1 3.30000+ 1 2.19292- 2 4.90900- 5 3.30000+ 1 3.50000+ 1 1.26510- 2 1.39850- 4 3.30000+ 1 3.60000+ 1 2.99715- 3 1.40690- 4 3.30000+ 1 4.10000+ 1 4.21732- 3 9.74800- 5 3.30000+ 1 4.30000+ 1 2.41226- 2 1.14880- 4 3.30000+ 1 4.40000+ 1 5.53495- 3 1.23670- 4 3.30000+ 1 4.60000+ 1 6.23430- 4 1.42780- 4 3.30000+ 1 4.70000+ 1 1.67549- 4 1.43360- 4 3.30000+ 1 5.80000+ 1 3.62654- 4 1.41820- 4 3.50000+ 1 3.60000+ 1 6.28315- 4 2.31450- 4 3.50000+ 1 4.10000+ 1 5.71818- 4 1.88240- 4 3.50000+ 1 4.30000+ 1 1.21704- 3 2.05640- 4 3.50000+ 1 4.40000+ 1 7.03565- 4 2.14430- 4 3.50000+ 1 4.60000+ 1 1.43469- 5 2.33540- 4 3.50000+ 1 4.70000+ 1 3.54273- 5 2.34120- 4 3.50000+ 1 5.80000+ 1 6.17786- 5 2.32580- 4 3.60000+ 1 3.60000+ 1 4.97732- 6 2.32290- 4 3.60000+ 1 4.10000+ 1 1.99677- 4 1.89080- 4 3.60000+ 1 4.30000+ 1 1.94526- 3 2.06480- 4 3.60000+ 1 4.40000+ 1 2.11102- 4 2.15270- 4 3.60000+ 1 4.60000+ 1 2.72292- 5 2.34380- 4 3.60000+ 1 4.70000+ 1 5.85570- 6 2.34960- 4 3.60000+ 1 5.80000+ 1 1.66894- 5 2.33420- 4 4.10000+ 1 4.10000+ 1 1.03186- 4 1.45870- 4 4.10000+ 1 4.30000+ 1 2.22043- 3 1.63270- 4 4.10000+ 1 4.40000+ 1 3.71234- 4 1.72060- 4 4.10000+ 1 4.60000+ 1 5.29475- 5 1.91170- 4 4.10000+ 1 4.70000+ 1 1.65466- 5 1.91750- 4 4.10000+ 1 5.80000+ 1 1.74485- 5 1.90210- 4 4.30000+ 1 4.30000+ 1 1.13126- 3 1.80670- 4 4.30000+ 1 4.40000+ 1 2.60676- 3 1.89460- 4 4.30000+ 1 4.60000+ 1 7.81405- 5 2.08570- 4 4.30000+ 1 4.70000+ 1 1.19034- 4 2.09150- 4 4.30000+ 1 5.80000+ 1 2.07594- 4 2.07610- 4 4.40000+ 1 4.40000+ 1 1.03022- 4 1.98250- 4 4.40000+ 1 4.60000+ 1 4.50190- 5 2.17360- 4 4.40000+ 1 4.70000+ 1 8.44108- 6 2.17940- 4 4.40000+ 1 5.80000+ 1 2.07777- 5 2.16400- 4 1 91000 0 7 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 4.58691- 7 8.79900- 5 3.30000+ 1 5.36031- 6 9.56700- 5 4.10000+ 1 2.12600- 6 1.44060- 4 5.80000+ 1 2.55820- 7 1.88400- 4 1 91000 0 9 2.31000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.50000+ 1 1.37934- 2 8.03500- 5 3.20000+ 1 3.60000+ 1 5.02272- 2 8.11900- 5 3.20000+ 1 4.10000+ 1 2.75824- 2 3.79800- 5 3.20000+ 1 4.30000+ 1 1.95136- 2 5.53800- 5 3.20000+ 1 4.40000+ 1 5.67065- 2 6.41700- 5 3.20000+ 1 4.60000+ 1 6.73835- 4 8.32800- 5 3.20000+ 1 4.70000+ 1 2.12642- 3 8.38600- 5 3.20000+ 1 5.80000+ 1 2.33681- 3 8.23200- 5 3.30000+ 1 3.30000+ 1 2.81725- 1 0.00000+ 0 3.30000+ 1 3.50000+ 1 1.16855- 1 8.80300- 5 3.30000+ 1 3.60000+ 1 1.03358- 1 8.88700- 5 3.30000+ 1 4.10000+ 1 9.20001- 2 4.56600- 5 3.30000+ 1 4.30000+ 1 9.26440- 2 6.30600- 5 3.30000+ 1 4.40000+ 1 1.04407- 1 7.18500- 5 3.30000+ 1 4.60000+ 1 4.57335- 3 9.09600- 5 3.30000+ 1 4.70000+ 1 4.29016- 3 9.15400- 5 3.30000+ 1 5.80000+ 1 9.65860- 3 9.00000- 5 3.50000+ 1 3.60000+ 1 9.88673- 4 1.79630- 4 3.50000+ 1 4.10000+ 1 1.10446- 3 1.36420- 4 3.50000+ 1 4.30000+ 1 2.81759- 4 1.53820- 4 3.50000+ 1 4.40000+ 1 2.67765- 3 1.62610- 4 3.50000+ 1 4.60000+ 1 7.38405- 6 1.81720- 4 3.50000+ 1 4.70000+ 1 6.91770- 5 1.82300- 4 3.50000+ 1 5.80000+ 1 5.12991- 5 1.80760- 4 3.60000+ 1 3.60000+ 1 5.59621- 5 1.80470- 4 3.60000+ 1 4.10000+ 1 2.06364- 3 1.37260- 4 3.60000+ 1 4.30000+ 1 1.45623- 3 1.54660- 4 3.60000+ 1 4.40000+ 1 3.19175- 3 1.63450- 4 3.60000+ 1 4.60000+ 1 6.25694- 5 1.82560- 4 3.60000+ 1 4.70000+ 1 6.29576- 5 1.83140- 4 3.60000+ 1 5.80000+ 1 1.30190- 4 1.81600- 4 4.10000+ 1 4.10000+ 1 1.95847- 4 9.40500- 5 4.10000+ 1 4.30000+ 1 3.41120- 4 1.11450- 4 4.10000+ 1 4.40000+ 1 1.58896- 3 1.20240- 4 4.10000+ 1 4.60000+ 1 2.55072- 5 1.39350- 4 4.10000+ 1 4.70000+ 1 4.13366- 5 1.39930- 4 4.10000+ 1 5.80000+ 1 3.28369- 5 1.38390- 4 4.30000+ 1 4.40000+ 1 1.34353- 3 1.37640- 4 4.30000+ 1 4.60000+ 1 6.77051- 6 1.56750- 4 4.30000+ 1 4.70000+ 1 2.60730- 5 1.57330- 4 4.30000+ 1 5.80000+ 1 1.74301- 5 1.55790- 4 4.40000+ 1 4.40000+ 1 1.41259- 3 1.46430- 4 4.40000+ 1 4.60000+ 1 6.22065- 5 1.65540- 4 4.40000+ 1 4.70000+ 1 7.88893- 5 1.66120- 4 4.40000+ 1 5.80000+ 1 1.43917- 4 1.64580- 4 1 92000 0 0 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 3.50000+ 1 1.29000+ 0 3.60000+ 1 1.71000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 4.60000+ 1 4.00000- 1 4.70000+ 1 6.00000- 1 5.80000+ 1 2.00000+ 0 1 92000 0 0 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.16110- 1 3.00000+ 0 2.17680- 2 5.00000+ 0 2.10440- 2 6.00000+ 0 1.71820- 2 8.00000+ 0 5.52130- 3 1.00000+ 1 5.18150- 3 1.10000+ 1 4.28960- 3 1.30000+ 1 3.73680- 3 1.40000+ 1 3.55520- 3 1.60000+ 1 1.41990- 3 1.80000+ 1 1.26420- 3 1.90000+ 1 1.03050- 3 2.10000+ 1 7.78180- 4 2.20000+ 1 7.35140- 4 2.40000+ 1 4.02090- 4 2.50000+ 1 3.90750- 4 2.70000+ 1 3.20650- 4 2.90000+ 1 2.59380- 4 3.00000+ 1 2.03390- 4 3.20000+ 1 1.12350- 4 3.30000+ 1 1.04020- 4 3.50000+ 1 8.91000- 6 3.60000+ 1 7.95000- 6 4.10000+ 1 5.22300- 5 4.30000+ 1 3.40900- 5 4.40000+ 1 2.45700- 5 4.60000+ 1 4.74000- 6 4.70000+ 1 4.13000- 6 5.80000+ 1 5.78000- 6 1 92000 0 0 2.38029+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.74690- 1 3.00000+ 0 4.36400- 2 5.00000+ 0 4.36760- 2 6.00000+ 0 2.76880- 2 8.00000+ 0 1.39860- 2 1.00000+ 1 1.38510- 2 1.10000+ 1 9.80070- 3 1.30000+ 1 9.63370- 3 1.40000+ 1 8.87860- 3 1.60000+ 1 4.82190- 3 1.80000+ 1 4.66510- 3 1.90000+ 1 3.41770- 3 2.10000+ 1 3.17370- 3 2.20000+ 1 2.94440- 3 2.40000+ 1 2.58200- 3 2.50000+ 1 2.50390- 3 2.70000+ 1 1.50460- 3 2.90000+ 1 1.37980- 3 3.00000+ 1 1.01900- 3 3.20000+ 1 8.08590- 4 3.30000+ 1 7.48090- 4 3.50000+ 1 3.50550- 4 3.60000+ 1 3.33840- 4 4.10000+ 1 3.64300- 4 4.30000+ 1 2.91100- 4 4.40000+ 1 2.02180- 4 4.60000+ 1 8.18300- 5 4.70000+ 1 7.03600- 5 5.80000+ 1 4.53500- 5 1 92000 0 0 2.38029+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.21730-11 3.00000+ 0 2.98500-10 5.00000+ 0 2.41310-10 6.00000+ 0 2.95370-10 8.00000+ 0 7.76180-10 1.00000+ 1 7.28300-10 1.10000+ 1 8.25220-10 1.30000+ 1 7.10920-10 1.40000+ 1 7.39490-10 1.60000+ 1 1.68480- 9 1.80000+ 1 1.67360- 9 1.90000+ 1 1.86440- 9 2.10000+ 1 1.84390- 9 2.20000+ 1 1.90070- 9 2.40000+ 1 1.83660- 9 2.50000+ 1 1.86440- 9 2.70000+ 1 3.50170- 9 2.90000+ 1 3.63530- 9 3.00000+ 1 4.04690- 9 3.20000+ 1 4.51420- 9 3.30000+ 1 4.65710- 9 3.50000+ 1 7.08600- 9 3.60000+ 1 7.27140- 9 4.10000+ 1 7.65750- 9 4.30000+ 1 8.51480- 9 4.40000+ 1 9.71960- 9 4.60000+ 1 1.53770- 8 4.70000+ 1 1.65240- 8 5.80000+ 1 2.12620- 8 1 92000 0 0 2.38029+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.16290- 5 3.00000+ 0 2.44340- 6 5.00000+ 0 4.28730- 6 6.00000+ 0 3.58450- 6 8.00000+ 0 1.10430- 7 1.00000+ 1 1.21060- 7 1.10000+ 1 1.35540- 7 1.30000+ 1 1.76960- 7 1.40000+ 1 1.62960- 7 1.60000+ 1 6.06550- 9 1.80000+ 1 7.70030- 9 1.90000+ 1 5.29300- 9 2.10000+ 1 3.57270- 9 2.20000+ 1 2.73110- 9 2.40000+ 1 1.26360-10 2.50000+ 1 1.14390-10 2.70000+ 1 4.19470-10 2.90000+ 1 8.35230-10 3.00000+ 1 3.99340-10 1 92000 0 0 2.38029+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.83560- 6 3.00000+ 0 1.34460- 5 5.00000+ 0 5.21630- 6 6.00000+ 0 4.38660- 6 8.00000+ 0 1.88050- 5 1.00000+ 1 1.49020- 5 1.10000+ 1 1.16220- 5 1.30000+ 1 3.36860- 6 1.40000+ 1 3.33800- 6 1.60000+ 1 1.40560- 5 1.80000+ 1 1.53250- 5 1.90000+ 1 9.50180- 6 2.10000+ 1 6.21330- 6 2.20000+ 1 6.54790- 6 2.40000+ 1 3.68440- 7 2.50000+ 1 3.07060- 7 2.70000+ 1 2.25110- 5 2.90000+ 1 9.59470- 6 3.00000+ 1 7.00840- 6 1 92000 0 0 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.97658- 4 3.00000+ 0 1.13366- 3 5.00000+ 0 8.42969- 4 6.00000+ 0 7.88082- 4 8.00000+ 0 8.45104- 4 1.00000+ 1 7.54252- 4 1.10000+ 1 6.64182- 4 1.30000+ 1 5.08520- 4 1.40000+ 1 4.99691- 4 1.60000+ 1 4.45870- 4 1.80000+ 1 4.33432- 4 1.90000+ 1 4.07809- 4 2.10000+ 1 3.23668- 4 2.20000+ 1 3.20670- 4 2.40000+ 1 1.96490- 4 2.50000+ 1 1.98204- 4 2.70000+ 1 2.12335- 4 2.90000+ 1 1.86851- 4 3.00000+ 1 1.34421- 4 3.20000+ 1 1.12350- 4 3.30000+ 1 1.04020- 4 3.50000+ 1 8.91000- 6 3.60000+ 1 7.95000- 6 4.10000+ 1 5.22300- 5 4.30000+ 1 3.40900- 5 4.40000+ 1 2.45700- 5 4.60000+ 1 4.74000- 6 4.70000+ 1 4.13000- 6 5.80000+ 1 5.78000- 6 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.43829+ 0 3.00000+ 0 5.81431- 1 5.00000+ 0 6.49784- 1 6.00000+ 0 5.26629- 1 8.00000+ 0 5.64400- 2 1.00000+ 1 5.73485- 2 1.10000+ 1 5.23995- 2 1.30000+ 1 6.04883- 2 1.40000+ 1 5.47543- 2 1.60000+ 1 1.86977- 3 1.80000+ 1 2.00765- 3 1.90000+ 1 1.29698- 3 2.10000+ 1 7.98477- 4 2.20000+ 1 6.86599- 4 2.40000+ 1 9.93862- 5 2.50000+ 1 8.60627- 5 2.70000+ 1 3.77708- 5 2.90000+ 1 4.58926- 5 3.00000+ 1 9.72275- 6 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.03931- 1 3.00000+ 0 7.73785- 3 5.00000+ 0 1.01539- 2 6.00000+ 0 6.67726- 3 8.00000+ 0 1.84193- 4 1.00000+ 1 1.88713- 4 1.10000+ 1 1.67088- 4 1.30000+ 1 1.96642- 4 1.40000+ 1 1.70250- 4 1.60000+ 1 1.25013- 6 1.80000+ 1 1.13044- 6 1.90000+ 1 7.21268- 7 2.10000+ 1 3.32722- 7 2.20000+ 1 2.69346- 7 2.40000+ 1 2.64519- 8 2.50000+ 1 2.29780- 8 2.70000+ 1 5.09419- 9 2.90000+ 1 7.07259- 9 3.00000+ 1 1.12513- 9 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.56894+ 0 3.00000+ 0 1.40287+ 1 5.00000+ 0 1.01473+ 1 6.00000+ 0 9.44666+ 0 8.00000+ 0 1.02730+ 1 1.00000+ 1 9.01025+ 0 1.10000+ 1 7.86613+ 0 1.30000+ 1 5.74336+ 0 1.40000+ 1 5.63965+ 0 1.60000+ 1 4.77309+ 0 1.80000+ 1 4.61370+ 0 1.90000+ 1 4.29890+ 0 2.10000+ 1 3.22293+ 0 2.20000+ 1 3.16076+ 0 2.40000+ 1 1.75881+ 0 2.50000+ 1 1.75317+ 0 2.70000+ 1 1.79848+ 0 2.90000+ 1 1.05703+ 0 3.00000+ 1 9.99990- 1 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.13814- 2 3.00000+ 0 1.28965- 2 5.00000+ 0 1.00472- 2 6.00000+ 0 9.71665- 3 8.00000+ 0 4.49200- 3 1.00000+ 1 4.23853- 3 1.10000+ 1 3.45833- 3 1.30000+ 1 3.03164- 3 1.40000+ 1 2.88526- 3 1.60000+ 1 9.72780- 4 1.80000+ 1 8.29637- 4 1.90000+ 1 6.21970- 4 2.10000+ 1 4.54179- 4 2.20000+ 1 4.14201- 4 2.40000+ 1 2.05573- 4 2.50000+ 1 1.92523- 4 2.70000+ 1 1.08310- 4 2.90000+ 1 7.25221- 5 3.00000+ 1 6.89675- 5 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.89261- 1 9.50660- 2 6.00000+ 0 4.62811- 1 9.89280- 2 1.00000+ 1 5.33711- 2 1.10928- 1 1.10000+ 1 1.04380- 1 1.11820- 1 1.30000+ 1 1.86730- 3 1.12373- 1 1.40000+ 1 2.13010- 3 1.12555- 1 1.80000+ 1 1.33480- 2 1.14846- 1 1.90000+ 1 2.70001- 2 1.15080- 1 2.10000+ 1 5.49541- 4 1.15332- 1 2.20000+ 1 6.28781- 4 1.15375- 1 2.90000+ 1 3.26591- 3 1.15851- 1 3.00000+ 1 6.47761- 3 1.15907- 1 3.20000+ 1 1.12360- 4 1.15998- 1 3.30000+ 1 1.27580- 4 1.16006- 1 4.30000+ 1 5.82301- 4 1.16076- 1 4.40000+ 1 1.09740- 3 1.16085- 1 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.85315- 3 7.25740- 2 3.00000+ 0 5.00000+ 0 7.04168- 3 7.32980- 2 3.00000+ 0 6.00000+ 0 2.68169- 3 7.71600- 2 3.00000+ 0 8.00000+ 0 1.60179- 3 8.88207- 2 3.00000+ 0 1.00000+ 1 1.54838- 3 8.91605- 2 3.00000+ 0 1.10000+ 1 6.63420- 4 9.00524- 2 3.00000+ 0 1.30000+ 1 5.80910- 5 9.06052- 2 3.00000+ 0 1.40000+ 1 3.65655- 5 9.07868- 2 3.00000+ 0 1.60000+ 1 4.24347- 4 9.29221- 2 3.00000+ 0 1.80000+ 1 4.03588- 4 9.30778- 2 3.00000+ 0 1.90000+ 1 1.74839- 4 9.33115- 2 3.00000+ 0 2.10000+ 1 1.71267- 5 9.35638- 2 3.00000+ 0 2.20000+ 1 1.06369- 5 9.36069- 2 3.00000+ 0 2.40000+ 1 6.33133- 8 9.39399- 2 3.00000+ 0 2.50000+ 1 6.33133- 8 9.39513- 2 3.00000+ 0 2.70000+ 1 1.08047- 4 9.40213- 2 3.00000+ 0 2.90000+ 1 9.66204- 5 9.40826- 2 3.00000+ 0 3.00000+ 1 4.13753- 5 9.41386- 2 3.00000+ 0 3.20000+ 1 3.45072- 6 9.42296- 2 3.00000+ 0 3.30000+ 1 2.12103- 6 9.42380- 2 5.00000+ 0 5.00000+ 0 2.59285- 4 7.40220- 2 5.00000+ 0 6.00000+ 0 4.34446- 3 7.78840- 2 5.00000+ 0 8.00000+ 0 1.29555- 3 8.95447- 2 5.00000+ 0 1.00000+ 1 1.00736- 4 8.98845- 2 5.00000+ 0 1.10000+ 1 9.12578- 4 9.07764- 2 5.00000+ 0 1.30000+ 1 5.83464- 5 9.13292- 2 5.00000+ 0 1.40000+ 1 1.31984- 4 9.15108- 2 5.00000+ 0 1.60000+ 1 3.33761- 4 9.36461- 2 5.00000+ 0 1.80000+ 1 2.55802- 5 9.38018- 2 5.00000+ 0 1.90000+ 1 2.30945- 4 9.40355- 2 5.00000+ 0 2.10000+ 1 1.64304- 5 9.42878- 2 5.00000+ 0 2.20000+ 1 3.74840- 5 9.43309- 2 5.00000+ 0 2.40000+ 1 5.38209- 7 9.46639- 2 5.00000+ 0 2.50000+ 1 7.59803- 7 9.46752- 2 5.00000+ 0 2.70000+ 1 8.44027- 5 9.47453- 2 5.00000+ 0 2.90000+ 1 6.07850- 6 9.48066- 2 5.00000+ 0 3.00000+ 1 5.41341- 5 9.48626- 2 5.00000+ 0 3.20000+ 1 3.26080- 6 9.49536- 2 5.00000+ 0 3.30000+ 1 7.40802- 6 9.49620- 2 6.00000+ 0 6.00000+ 0 1.76151- 3 8.17460- 2 6.00000+ 0 8.00000+ 0 4.37955- 4 9.34067- 2 6.00000+ 0 1.00000+ 1 7.90458- 4 9.37465- 2 6.00000+ 0 1.10000+ 1 7.63303- 4 9.46384- 2 6.00000+ 0 1.30000+ 1 1.42370- 4 9.51912- 2 6.00000+ 0 1.40000+ 1 1.12829- 4 9.53728- 2 6.00000+ 0 1.60000+ 1 1.09634- 4 9.75081- 2 6.00000+ 0 1.80000+ 1 1.97175- 4 9.76638- 2 6.00000+ 0 1.90000+ 1 1.94889- 4 9.78975- 2 6.00000+ 0 2.10000+ 1 4.06514- 5 9.81498- 2 6.00000+ 0 2.20000+ 1 3.21961- 5 9.81929- 2 6.00000+ 0 2.40000+ 1 7.59808- 7 9.85259- 2 6.00000+ 0 2.50000+ 1 8.23120- 7 9.85372- 2 6.00000+ 0 2.70000+ 1 2.75112- 5 9.86073- 2 6.00000+ 0 2.90000+ 1 4.66649- 5 9.86686- 2 6.00000+ 0 3.00000+ 1 4.57781- 5 9.87246- 2 6.00000+ 0 3.20000+ 1 8.13613- 6 9.88156- 2 6.00000+ 0 3.30000+ 1 6.36363- 6 9.88240- 2 8.00000+ 0 8.00000+ 0 1.64590- 4 1.05067- 1 8.00000+ 0 1.00000+ 1 2.86289- 4 1.05407- 1 8.00000+ 0 1.10000+ 1 1.09505- 4 1.06299- 1 8.00000+ 0 1.30000+ 1 9.30761- 6 1.06852- 1 8.00000+ 0 1.40000+ 1 5.50873- 6 1.07034- 1 8.00000+ 0 1.60000+ 1 8.70594- 5 1.09169- 1 8.00000+ 0 1.80000+ 1 7.47137- 5 1.09325- 1 8.00000+ 0 1.90000+ 1 2.89366- 5 1.09558- 1 8.00000+ 0 2.10000+ 1 2.75431- 6 1.09811- 1 8.00000+ 0 2.20000+ 1 1.58293- 6 1.09854- 1 8.00000+ 0 2.70000+ 1 2.21605- 5 1.10268- 1 8.00000+ 0 2.90000+ 1 1.78877- 5 1.10329- 1 8.00000+ 0 3.00000+ 1 6.87003- 6 1.10385- 1 8.00000+ 0 3.20000+ 1 5.69851- 7 1.10476- 1 8.00000+ 0 3.30000+ 1 3.16587- 7 1.10485- 1 1.00000+ 1 1.00000+ 1 9.30757- 6 1.05747- 1 1.00000+ 1 1.10000+ 1 1.71843- 4 1.06639- 1 1.00000+ 1 1.30000+ 1 9.81409- 6 1.07192- 1 1.00000+ 1 1.40000+ 1 1.78877- 5 1.07373- 1 1.00000+ 1 1.60000+ 1 7.37969- 5 1.09509- 1 1.00000+ 1 1.80000+ 1 4.68527- 6 1.09664- 1 1.00000+ 1 1.90000+ 1 4.38152- 5 1.09898- 1 1.00000+ 1 2.10000+ 1 2.78584- 6 1.10150- 1 1.00000+ 1 2.20000+ 1 5.16034- 6 1.10193- 1 1.00000+ 1 2.40000+ 1 6.33152- 8 1.10526- 1 1.00000+ 1 2.50000+ 1 9.49770- 8 1.10538- 1 1.00000+ 1 2.70000+ 1 1.86470- 5 1.10608- 1 1.00000+ 1 2.90000+ 1 1.10807- 6 1.10669- 1 1.00000+ 1 3.00000+ 1 1.02891- 5 1.10725- 1 1.00000+ 1 3.20000+ 1 5.69849- 7 1.10816- 1 1.00000+ 1 3.30000+ 1 1.01307- 6 1.10824- 1 1.10000+ 1 1.10000+ 1 8.38323- 5 1.07531- 1 1.10000+ 1 1.30000+ 1 2.51999- 5 1.08084- 1 1.10000+ 1 1.40000+ 1 1.91854- 5 1.08265- 1 1.10000+ 1 1.60000+ 1 2.74791- 5 1.10400- 1 1.10000+ 1 1.80000+ 1 4.31809- 5 1.10556- 1 1.10000+ 1 1.90000+ 1 4.29303- 5 1.10790- 1 1.10000+ 1 2.10000+ 1 7.24999- 6 1.11042- 1 1.10000+ 1 2.20000+ 1 5.50869- 6 1.11085- 1 1.10000+ 1 2.40000+ 1 1.26631- 7 1.11418- 1 1.10000+ 1 2.50000+ 1 1.26631- 7 1.11430- 1 1.10000+ 1 2.70000+ 1 6.90163- 6 1.11500- 1 1.10000+ 1 2.90000+ 1 1.02257- 5 1.11561- 1 1.10000+ 1 3.00000+ 1 1.00990- 5 1.11617- 1 1.10000+ 1 3.20000+ 1 1.45633- 6 1.11708- 1 1.10000+ 1 3.30000+ 1 1.10806- 6 1.11716- 1 1.30000+ 1 1.30000+ 1 6.33127- 8 1.08636- 1 1.30000+ 1 1.40000+ 1 2.69090- 6 1.08818- 1 1.30000+ 1 1.60000+ 1 2.34266- 6 1.10953- 1 1.30000+ 1 1.80000+ 1 2.43759- 6 1.11109- 1 1.30000+ 1 1.90000+ 1 6.14159- 6 1.11343- 1 1.30000+ 1 2.10000+ 1 3.16574- 8 1.11595- 1 1.30000+ 1 2.20000+ 1 7.28105- 7 1.11638- 1 1.30000+ 1 2.70000+ 1 6.01487- 7 1.12053- 1 1.30000+ 1 2.90000+ 1 5.69827- 7 1.12114- 1 1.30000+ 1 3.00000+ 1 1.42463- 6 1.12170- 1 1.30000+ 1 3.30000+ 1 1.58286- 7 1.12269- 1 1.40000+ 1 1.40000+ 1 6.33122- 7 1.09000- 1 1.40000+ 1 1.60000+ 1 1.36132- 6 1.11135- 1 1.40000+ 1 1.80000+ 1 4.17867- 6 1.11291- 1 1.40000+ 1 1.90000+ 1 4.62208- 6 1.11524- 1 1.40000+ 1 2.10000+ 1 7.28099- 7 1.11777- 1 1.40000+ 1 2.20000+ 1 3.48231- 7 1.11820- 1 1.40000+ 1 2.70000+ 1 3.48231- 7 1.12234- 1 1.40000+ 1 2.90000+ 1 9.81363- 7 1.12295- 1 1.40000+ 1 3.00000+ 1 1.07633- 6 1.12351- 1 1.40000+ 1 3.20000+ 1 1.58285- 7 1.12442- 1 1.40000+ 1 3.30000+ 1 6.33122- 8 1.12451- 1 1.60000+ 1 1.60000+ 1 1.15236- 5 1.13270- 1 1.60000+ 1 1.80000+ 1 1.92801- 5 1.13426- 1 1.60000+ 1 1.90000+ 1 7.28135- 6 1.13660- 1 1.60000+ 1 2.10000+ 1 6.96498- 7 1.13912- 1 1.60000+ 1 2.20000+ 1 3.79920- 7 1.13955- 1 1.60000+ 1 2.70000+ 1 5.85688- 6 1.14369- 1 1.60000+ 1 2.90000+ 1 4.62232- 6 1.14431- 1 1.60000+ 1 3.00000+ 1 1.70953- 6 1.14487- 1 1.60000+ 1 3.20000+ 1 1.26632- 7 1.14578- 1 1.60000+ 1 3.30000+ 1 6.33154- 8 1.14586- 1 1.80000+ 1 1.80000+ 1 6.01514- 7 1.13582- 1 1.80000+ 1 1.90000+ 1 1.10170- 5 1.13815- 1 1.80000+ 1 2.10000+ 1 6.96500- 7 1.14068- 1 1.80000+ 1 2.20000+ 1 1.20303- 6 1.14111- 1 1.80000+ 1 2.50000+ 1 3.16588- 8 1.14455- 1 1.80000+ 1 2.70000+ 1 4.87541- 6 1.14525- 1 1.80000+ 1 2.90000+ 1 2.84926- 7 1.14586- 1 1.80000+ 1 3.00000+ 1 2.59607- 6 1.14642- 1 1.80000+ 1 3.20000+ 1 1.26633- 7 1.14733- 1 1.80000+ 1 3.30000+ 1 2.53276- 7 1.14742- 1 1.90000+ 1 1.90000+ 1 5.50876- 6 1.14049- 1 1.90000+ 1 2.10000+ 1 1.77285- 6 1.14301- 1 1.90000+ 1 2.20000+ 1 1.32963- 6 1.14344- 1 1.90000+ 1 2.40000+ 1 3.16589- 8 1.14677- 1 1.90000+ 1 2.50000+ 1 3.16589- 8 1.14689- 1 1.90000+ 1 2.70000+ 1 1.83615- 6 1.14759- 1 1.90000+ 1 2.90000+ 1 2.62773- 6 1.14820- 1 1.90000+ 1 3.00000+ 1 2.59608- 6 1.14876- 1 1.90000+ 1 3.20000+ 1 3.48251- 7 1.14967- 1 1.90000+ 1 3.30000+ 1 2.53277- 7 1.14975- 1 2.10000+ 1 2.20000+ 1 1.99985- 7 1.14597- 1 2.10000+ 1 2.70000+ 1 1.66661- 7 1.15011- 1 2.10000+ 1 2.90000+ 1 1.66661- 7 1.15072- 1 2.10000+ 1 3.00000+ 1 4.33314- 7 1.15128- 1 2.10000+ 1 3.30000+ 1 3.33323- 8 1.15228- 1 2.20000+ 1 2.20000+ 1 6.33154- 8 1.14640- 1 2.20000+ 1 2.70000+ 1 9.49772- 8 1.15054- 1 2.20000+ 1 2.90000+ 1 2.84925- 7 1.15115- 1 2.20000+ 1 3.00000+ 1 3.16587- 7 1.15171- 1 2.20000+ 1 3.20000+ 1 3.16587- 8 1.15263- 1 2.20000+ 1 3.30000+ 1 3.16587- 8 1.15271- 1 2.70000+ 1 2.70000+ 1 7.37890- 7 1.15469- 1 2.70000+ 1 2.90000+ 1 1.13758- 6 1.15530- 1 2.70000+ 1 3.00000+ 1 4.30444- 7 1.15586- 1 2.70000+ 1 3.20000+ 1 3.07454- 8 1.15677- 1 2.70000+ 1 3.30000+ 1 3.07454- 8 1.15685- 1 2.90000+ 1 2.90000+ 1 3.15738- 8 1.15591- 1 2.90000+ 1 3.00000+ 1 5.99899- 7 1.15647- 1 2.90000+ 1 3.20000+ 1 3.15738- 8 1.15738- 1 2.90000+ 1 3.30000+ 1 6.31455- 8 1.15747- 1 3.00000+ 1 3.00000+ 1 2.98628- 7 1.15703- 1 3.00000+ 1 3.20000+ 1 8.95895- 8 1.15794- 1 3.00000+ 1 3.30000+ 1 5.97237- 8 1.15803- 1 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.27890- 5 7.24000- 4 6.00000+ 0 8.43988- 3 4.58600- 3 1.00000+ 1 5.37558- 2 1.65865- 2 1.10000+ 1 4.67569- 2 1.74784- 2 1.30000+ 1 2.48529- 3 1.80312- 2 1.40000+ 1 3.70359- 3 1.82128- 2 1.80000+ 1 1.45280- 2 2.05038- 2 1.90000+ 1 1.44670- 2 2.07375- 2 2.10000+ 1 4.23259- 4 2.09898- 2 2.20000+ 1 6.78388- 4 2.10329- 2 2.90000+ 1 3.52109- 3 2.15086- 2 3.00000+ 1 3.55459- 3 2.15646- 2 3.20000+ 1 7.62828- 5 2.16556- 2 3.30000+ 1 1.23660- 4 2.16640- 2 4.30000+ 1 6.36628- 4 2.17339- 2 4.40000+ 1 6.17258- 4 2.17434- 2 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.20000+ 1 5.58155- 3 0.00000+ 0 5.00000+ 0 2.40000+ 1 1.26598- 2 3.21910- 4 5.00000+ 0 2.50000+ 1 1.68837- 2 3.33250- 4 5.00000+ 0 2.70000+ 1 5.12566- 3 4.03350- 4 5.00000+ 0 2.90000+ 1 4.12785- 3 4.64620- 4 5.00000+ 0 3.00000+ 1 3.30136- 3 5.20610- 4 5.00000+ 0 3.20000+ 1 8.78874- 4 6.11650- 4 5.00000+ 0 3.30000+ 1 1.11408- 3 6.19980- 4 6.00000+ 0 1.10000+ 1 3.60237- 2 2.96400- 4 6.00000+ 0 1.30000+ 1 2.05107- 1 8.49200- 4 6.00000+ 0 1.40000+ 1 2.47756- 1 1.03080- 3 6.00000+ 0 1.60000+ 1 1.67698- 2 3.16610- 3 6.00000+ 0 1.80000+ 1 6.52396- 3 3.32180- 3 6.00000+ 0 1.90000+ 1 9.13916- 3 3.55550- 3 6.00000+ 0 2.10000+ 1 3.20267- 2 3.80782- 3 6.00000+ 0 2.20000+ 1 3.68847- 2 3.85086- 3 6.00000+ 0 2.40000+ 1 1.93937- 2 4.18391- 3 6.00000+ 0 2.50000+ 1 2.37266- 2 4.19525- 3 6.00000+ 0 2.70000+ 1 4.03106- 3 4.26535- 3 6.00000+ 0 2.90000+ 1 1.54108- 3 4.32662- 3 6.00000+ 0 3.00000+ 1 2.14817- 3 4.38261- 3 6.00000+ 0 3.20000+ 1 5.80517- 3 4.47365- 3 6.00000+ 0 3.30000+ 1 6.55106- 3 4.48198- 3 8.00000+ 0 8.00000+ 0 5.45279- 3 1.07254- 2 8.00000+ 0 1.00000+ 1 1.14489- 2 1.10652- 2 8.00000+ 0 1.10000+ 1 1.60758- 2 1.19571- 2 8.00000+ 0 1.30000+ 1 1.13449- 2 1.25099- 2 8.00000+ 0 1.40000+ 1 1.36928- 2 1.26915- 2 8.00000+ 0 1.60000+ 1 2.46027- 3 1.48268- 2 8.00000+ 0 1.80000+ 1 2.95479- 3 1.49825- 2 8.00000+ 0 1.90000+ 1 4.13477- 3 1.52162- 2 8.00000+ 0 2.10000+ 1 2.76377- 3 1.54685- 2 8.00000+ 0 2.20000+ 1 3.32498- 3 1.55116- 2 8.00000+ 0 2.40000+ 1 2.55167- 4 1.58446- 2 8.00000+ 0 2.50000+ 1 2.64417- 4 1.58559- 2 8.00000+ 0 2.70000+ 1 6.08639- 4 1.59260- 2 8.00000+ 0 2.90000+ 1 7.04509- 4 1.59873- 2 8.00000+ 0 3.00000+ 1 9.72049- 4 1.60433- 2 8.00000+ 0 3.20000+ 1 5.34489- 4 1.61343- 2 8.00000+ 0 3.30000+ 1 6.36729- 4 1.61427- 2 1.00000+ 1 1.00000+ 1 1.31871- 5 1.14050- 2 1.00000+ 1 1.10000+ 1 2.10811- 4 1.22969- 2 1.00000+ 1 1.30000+ 1 7.41722- 4 1.28497- 2 1.00000+ 1 1.40000+ 1 5.19648- 3 1.30313- 2 1.00000+ 1 1.60000+ 1 2.04681- 3 1.51666- 2 1.00000+ 1 1.80000+ 1 1.54131- 6 1.53223- 2 1.00000+ 1 1.90000+ 1 4.33275- 5 1.55560- 2 1.00000+ 1 2.10000+ 1 1.51051- 4 1.58083- 2 1.00000+ 1 2.20000+ 1 8.15043- 4 1.58514- 2 1.00000+ 1 2.40000+ 1 9.70966- 5 1.61844- 2 1.00000+ 1 2.50000+ 1 3.34124- 4 1.61957- 2 1.00000+ 1 2.70000+ 1 4.75246- 4 1.62658- 2 1.00000+ 1 2.90000+ 1 3.42514- 7 1.63271- 2 1.00000+ 1 3.00000+ 1 9.59036- 6 1.63831- 2 1.00000+ 1 3.20000+ 1 2.86003- 5 1.64741- 2 1.00000+ 1 3.30000+ 1 1.42991- 4 1.64825- 2 1.10000+ 1 1.10000+ 1 7.10367- 4 1.31888- 2 1.10000+ 1 1.30000+ 1 1.43578- 3 1.37416- 2 1.10000+ 1 1.40000+ 1 8.85738- 4 1.39232- 2 1.10000+ 1 1.60000+ 1 2.78617- 3 1.60585- 2 1.10000+ 1 1.80000+ 1 5.58287- 5 1.62142- 2 1.10000+ 1 1.90000+ 1 2.84967- 4 1.64479- 2 1.10000+ 1 2.10000+ 1 1.58928- 4 1.67002- 2 1.10000+ 1 2.20000+ 1 7.10677- 5 1.67433- 2 1.10000+ 1 2.40000+ 1 1.09938- 4 1.70763- 2 1.10000+ 1 2.50000+ 1 9.55637- 5 1.70876- 2 1.10000+ 1 2.70000+ 1 6.41887- 4 1.71577- 2 1.10000+ 1 2.90000+ 1 1.33578- 5 1.72190- 2 1.10000+ 1 3.00000+ 1 6.33647- 5 1.72750- 2 1.10000+ 1 3.20000+ 1 2.62016- 5 1.73660- 2 1.10000+ 1 3.30000+ 1 1.06179- 5 1.73744- 2 1.30000+ 1 1.30000+ 1 6.40327- 4 1.42944- 2 1.30000+ 1 1.40000+ 1 1.76860- 2 1.44760- 2 1.30000+ 1 1.60000+ 1 1.76390- 3 1.66113- 2 1.30000+ 1 1.80000+ 1 2.23830- 4 1.67670- 2 1.30000+ 1 1.90000+ 1 3.97663- 4 1.70007- 2 1.30000+ 1 2.10000+ 1 3.03983- 4 1.72530- 2 1.30000+ 1 2.20000+ 1 2.99733- 3 1.72961- 2 1.30000+ 1 2.40000+ 1 2.51400- 4 1.76291- 2 1.30000+ 1 2.50000+ 1 6.81617- 4 1.76404- 2 1.30000+ 1 2.70000+ 1 3.96113- 4 1.77105- 2 1.30000+ 1 2.90000+ 1 5.53166- 5 1.77718- 2 1.30000+ 1 3.00000+ 1 9.57342- 5 1.78278- 2 1.30000+ 1 3.20000+ 1 5.85697- 5 1.79188- 2 1.30000+ 1 3.30000+ 1 5.32106- 4 1.79272- 2 1.40000+ 1 1.40000+ 1 4.80846- 3 1.46576- 2 1.40000+ 1 1.60000+ 1 2.16196- 3 1.67929- 2 1.40000+ 1 1.80000+ 1 1.17833- 3 1.69486- 2 1.40000+ 1 1.90000+ 1 2.35486- 4 1.71823- 2 1.40000+ 1 2.10000+ 1 2.86408- 3 1.74346- 2 1.40000+ 1 2.20000+ 1 1.71904- 3 1.74777- 2 1.40000+ 1 2.40000+ 1 7.46706- 4 1.78107- 2 1.40000+ 1 2.50000+ 1 5.52319- 4 1.78220- 2 1.40000+ 1 2.70000+ 1 4.89126- 4 1.78921- 2 1.40000+ 1 2.90000+ 1 2.73327- 4 1.79534- 2 1.40000+ 1 3.00000+ 1 5.66870- 5 1.80094- 2 1.40000+ 1 3.20000+ 1 5.08128- 4 1.81004- 2 1.40000+ 1 3.30000+ 1 3.09300- 4 1.81088- 2 1.60000+ 1 1.60000+ 1 2.62179- 4 1.89282- 2 1.60000+ 1 1.80000+ 1 5.29493- 4 1.90839- 2 1.60000+ 1 1.90000+ 1 7.20597- 4 1.93176- 2 1.60000+ 1 2.10000+ 1 4.33254- 4 1.95699- 2 1.60000+ 1 2.20000+ 1 5.25223- 4 1.96130- 2 1.60000+ 1 2.40000+ 1 3.35648- 5 1.99460- 2 1.60000+ 1 2.50000+ 1 3.28808- 5 1.99573- 2 1.60000+ 1 2.70000+ 1 1.27915- 4 2.00274- 2 1.60000+ 1 2.90000+ 1 1.26205- 4 2.00887- 2 1.60000+ 1 3.00000+ 1 1.69543- 4 2.01447- 2 1.60000+ 1 3.20000+ 1 8.39114- 5 2.02357- 2 1.60000+ 1 3.30000+ 1 1.00526- 4 2.02441- 2 1.80000+ 1 1.90000+ 1 1.14738- 5 1.94733- 2 1.80000+ 1 2.10000+ 1 4.14436- 5 1.97256- 2 1.80000+ 1 2.20000+ 1 1.92827- 4 1.97687- 2 1.80000+ 1 2.40000+ 1 1.38718- 5 2.01017- 2 1.80000+ 1 2.50000+ 1 5.44587- 5 2.01130- 2 1.80000+ 1 2.70000+ 1 1.22958- 4 2.01831- 2 1.80000+ 1 3.00000+ 1 2.56876- 6 2.03004- 2 1.80000+ 1 3.20000+ 1 7.70656- 6 2.03914- 2 1.80000+ 1 3.30000+ 1 3.40797- 5 2.03998- 2 1.90000+ 1 1.90000+ 1 2.73998- 5 1.97070- 2 1.90000+ 1 2.10000+ 1 4.48673- 5 1.99593- 2 1.90000+ 1 2.20000+ 1 2.10631- 5 2.00024- 2 1.90000+ 1 2.40000+ 1 2.62009- 5 2.03354- 2 1.90000+ 1 2.50000+ 1 2.19191- 5 2.03467- 2 1.90000+ 1 2.70000+ 1 1.66103- 4 2.04168- 2 1.90000+ 1 2.90000+ 1 2.73998- 6 2.04781- 2 1.90000+ 1 3.00000+ 1 1.21585- 5 2.05341- 2 1.90000+ 1 3.20000+ 1 7.36395- 6 2.06251- 2 1.90000+ 1 3.30000+ 1 3.25368- 6 2.06335- 2 2.10000+ 1 2.10000+ 1 3.32225- 5 2.02116- 2 2.10000+ 1 2.20000+ 1 5.31745- 4 2.02547- 2 2.10000+ 1 2.40000+ 1 4.14434- 5 2.05877- 2 2.10000+ 1 2.50000+ 1 8.42592- 5 2.05991- 2 2.10000+ 1 2.70000+ 1 9.74411- 5 2.06692- 2 2.10000+ 1 2.90000+ 1 1.01038- 5 2.07304- 2 2.10000+ 1 3.00000+ 1 1.09598- 5 2.07864- 2 2.10000+ 1 3.20000+ 1 1.26728- 5 2.08775- 2 2.10000+ 1 3.30000+ 1 9.60701- 5 2.08858- 2 2.20000+ 1 2.20000+ 1 1.64917- 4 2.02977- 2 2.20000+ 1 2.40000+ 1 9.93283- 5 2.06308- 2 2.20000+ 1 2.50000+ 1 8.11744- 5 2.06421- 2 2.20000+ 1 2.70000+ 1 1.18678- 4 2.07122- 2 2.20000+ 1 2.90000+ 1 4.50394- 5 2.07735- 2 2.20000+ 1 3.00000+ 1 5.30886- 6 2.08295- 2 2.20000+ 1 3.20000+ 1 9.59014- 5 2.09205- 2 2.20000+ 1 3.30000+ 1 6.01106- 5 2.09288- 2 2.40000+ 1 2.40000+ 1 1.19878- 6 2.09638- 2 2.40000+ 1 2.50000+ 1 2.20917- 5 2.09752- 2 2.40000+ 1 2.70000+ 1 7.36418- 6 2.10453- 2 2.40000+ 1 2.90000+ 1 2.91128- 6 2.11065- 2 2.40000+ 1 3.00000+ 1 5.99388- 6 2.11625- 2 2.40000+ 1 3.20000+ 1 7.36418- 6 2.12536- 2 2.40000+ 1 3.30000+ 1 1.67828- 5 2.12619- 2 2.50000+ 1 2.50000+ 1 4.69896- 6 2.09865- 2 2.50000+ 1 2.70000+ 1 7.13531- 6 2.10566- 2 2.50000+ 1 2.90000+ 1 1.18340- 5 2.11179- 2 2.50000+ 1 3.00000+ 1 5.04704- 6 2.11739- 2 2.50000+ 1 3.20000+ 1 1.44447- 5 2.12649- 2 2.50000+ 1 3.30000+ 1 1.42709- 5 2.12732- 2 2.70000+ 1 2.70000+ 1 1.66677- 5 2.11267- 2 2.70000+ 1 2.90000+ 1 3.13206- 5 2.11880- 2 2.70000+ 1 3.00000+ 1 4.17614- 5 2.12440- 2 2.70000+ 1 3.20000+ 1 2.01490- 5 2.13350- 2 2.70000+ 1 3.30000+ 1 2.43609- 5 2.13433- 2 2.90000+ 1 3.00000+ 1 7.34819- 7 2.13052- 2 2.90000+ 1 3.20000+ 1 2.02087- 6 2.13963- 2 2.90000+ 1 3.30000+ 1 8.63428- 6 2.14046- 2 3.00000+ 1 3.00000+ 1 1.72671- 6 2.13612- 2 3.00000+ 1 3.20000+ 1 2.37442- 6 2.14523- 2 3.00000+ 1 3.30000+ 1 1.07926- 6 2.14606- 2 3.20000+ 1 3.20000+ 1 1.19881- 6 2.15433- 2 3.20000+ 1 3.30000+ 1 1.74681- 5 2.15516- 2 3.30000+ 1 3.30000+ 1 5.59658- 6 2.15600- 2 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 3.62048- 5 3.86200- 3 8.00000+ 0 1.01029- 2 1.55227- 2 1.10000+ 1 5.20017- 4 1.67544- 2 1.30000+ 1 3.58938- 1 1.73072- 2 1.60000+ 1 2.74179- 3 1.96241- 2 1.90000+ 1 1.57069- 4 2.00135- 2 2.10000+ 1 8.12926- 2 2.02658- 2 2.40000+ 1 5.05497- 4 2.06419- 2 2.70000+ 1 7.04056- 4 2.07233- 2 3.00000+ 1 3.84318- 5 2.08406- 2 3.20000+ 1 1.57439- 2 2.09316- 2 3.50000+ 1 1.12539- 5 2.10351- 2 4.10000+ 1 1.45009- 4 2.09918- 2 4.40000+ 1 6.59107- 6 2.10194- 2 5.80000+ 1 1.64849- 5 2.10382- 2 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.30000+ 1 1.12657- 1 1.25200- 4 6.00000+ 0 1.40000+ 1 3.62028- 2 3.06800- 4 6.00000+ 0 1.60000+ 1 3.04043- 3 2.44210- 3 6.00000+ 0 1.80000+ 1 2.52342- 2 2.59780- 3 6.00000+ 0 1.90000+ 1 5.90253- 3 2.83150- 3 6.00000+ 0 2.10000+ 1 2.19819- 2 3.08382- 3 6.00000+ 0 2.20000+ 1 7.42831- 3 3.12686- 3 6.00000+ 0 2.40000+ 1 1.09766- 3 3.45991- 3 6.00000+ 0 2.50000+ 1 1.57467- 3 3.47125- 3 6.00000+ 0 2.70000+ 1 7.10668- 4 3.54135- 3 6.00000+ 0 2.90000+ 1 5.46455- 3 3.60262- 3 6.00000+ 0 3.00000+ 1 1.34594- 3 3.65861- 3 6.00000+ 0 3.20000+ 1 4.06762- 3 3.74965- 3 6.00000+ 0 3.30000+ 1 1.38074- 3 3.75798- 3 8.00000+ 0 8.00000+ 0 3.46063- 4 1.00014- 2 8.00000+ 0 1.00000+ 1 1.44896- 2 1.03412- 2 8.00000+ 0 1.10000+ 1 1.27094- 3 1.12331- 2 8.00000+ 0 1.30000+ 1 2.74208- 3 1.17859- 2 8.00000+ 0 1.40000+ 1 9.73393- 4 1.19675- 2 8.00000+ 0 1.60000+ 1 1.39364- 4 1.41028- 2 8.00000+ 0 1.80000+ 1 2.47055- 3 1.42585- 2 8.00000+ 0 1.90000+ 1 2.94188- 4 1.44922- 2 8.00000+ 0 2.10000+ 1 4.76048- 4 1.47445- 2 8.00000+ 0 2.20000+ 1 1.43778- 4 1.47876- 2 8.00000+ 0 2.40000+ 1 6.01619- 5 1.51206- 2 8.00000+ 0 2.50000+ 1 4.41561- 5 1.51319- 2 8.00000+ 0 2.70000+ 1 3.33928- 5 1.52020- 2 8.00000+ 0 2.90000+ 1 5.37031- 4 1.52633- 2 8.00000+ 0 3.00000+ 1 6.76115- 5 1.53193- 2 8.00000+ 0 3.20000+ 1 8.63815- 5 1.54103- 2 8.00000+ 0 3.30000+ 1 2.51142- 5 1.54187- 2 1.00000+ 1 1.00000+ 1 1.55252- 2 1.06810- 2 1.00000+ 1 1.10000+ 1 3.48625- 2 1.15729- 2 1.00000+ 1 1.30000+ 1 1.75733- 2 1.21257- 2 1.00000+ 1 1.40000+ 1 2.23184- 2 1.23073- 2 1.00000+ 1 1.60000+ 1 3.92999- 3 1.44426- 2 1.00000+ 1 1.80000+ 1 6.73548- 3 1.45983- 2 1.00000+ 1 1.90000+ 1 8.79661- 3 1.48320- 2 1.00000+ 1 2.10000+ 1 4.26695- 3 1.50843- 2 1.00000+ 1 2.20000+ 1 5.44155- 3 1.51274- 2 1.00000+ 1 2.40000+ 1 3.43854- 4 1.54604- 2 1.00000+ 1 2.50000+ 1 2.76513- 4 1.54717- 2 1.00000+ 1 2.70000+ 1 1.00508- 3 1.55418- 2 1.00000+ 1 2.90000+ 1 1.55503- 3 1.56031- 2 1.00000+ 1 3.00000+ 1 2.05979- 3 1.56591- 2 1.00000+ 1 3.20000+ 1 8.25379- 4 1.57501- 2 1.00000+ 1 3.30000+ 1 1.04373- 3 1.57585- 2 1.10000+ 1 1.10000+ 1 7.08181- 4 1.24648- 2 1.10000+ 1 1.30000+ 1 1.33804- 2 1.30176- 2 1.10000+ 1 1.40000+ 1 2.06537- 3 1.31992- 2 1.10000+ 1 1.60000+ 1 2.86472- 4 1.53345- 2 1.10000+ 1 1.80000+ 1 5.97608- 3 1.54902- 2 1.10000+ 1 1.90000+ 1 3.09363- 4 1.57239- 2 1.10000+ 1 2.10000+ 1 2.77527- 3 1.59762- 2 1.10000+ 1 2.20000+ 1 4.16998- 4 1.60193- 2 1.10000+ 1 2.40000+ 1 1.10662- 4 1.63523- 2 1.10000+ 1 2.50000+ 1 5.51948- 5 1.63636- 2 1.10000+ 1 2.70000+ 1 7.00981- 5 1.64337- 2 1.10000+ 1 2.90000+ 1 1.29958- 3 1.64950- 2 1.10000+ 1 3.00000+ 1 7.00981- 5 1.65510- 2 1.10000+ 1 3.20000+ 1 5.19109- 4 1.66420- 2 1.10000+ 1 3.30000+ 1 7.69974- 5 1.66504- 2 1.30000+ 1 1.30000+ 1 1.26939- 2 1.35704- 2 1.30000+ 1 1.40000+ 1 4.87024- 2 1.37520- 2 1.30000+ 1 1.60000+ 1 7.44833- 4 1.58873- 2 1.30000+ 1 1.80000+ 1 2.88944- 3 1.60430- 2 1.30000+ 1 1.90000+ 1 3.09782- 3 1.62767- 2 1.30000+ 1 2.10000+ 1 5.11284- 3 1.65290- 2 1.30000+ 1 2.20000+ 1 1.06053- 2 1.65721- 2 1.30000+ 1 2.40000+ 1 1.08684- 3 1.69051- 2 1.30000+ 1 2.50000+ 1 2.15701- 3 1.69164- 2 1.30000+ 1 2.70000+ 1 1.90967- 4 1.69865- 2 1.30000+ 1 2.90000+ 1 6.28653- 4 1.70478- 2 1.30000+ 1 3.00000+ 1 7.11187- 4 1.71038- 2 1.30000+ 1 3.20000+ 1 9.56235- 4 1.71948- 2 1.30000+ 1 3.30000+ 1 1.98813- 3 1.72032- 2 1.40000+ 1 1.40000+ 1 2.37977- 3 1.39336- 2 1.40000+ 1 1.60000+ 1 2.12493- 4 1.60689- 2 1.40000+ 1 1.80000+ 1 3.21217- 3 1.62246- 2 1.40000+ 1 1.90000+ 1 4.41833- 4 1.64583- 2 1.40000+ 1 2.10000+ 1 8.05091- 3 1.67106- 2 1.40000+ 1 2.20000+ 1 9.46297- 4 1.67537- 2 1.40000+ 1 2.40000+ 1 4.32726- 4 1.70867- 2 1.40000+ 1 2.50000+ 1 1.64203- 4 1.70980- 2 1.40000+ 1 2.70000+ 1 5.18835- 5 1.71681- 2 1.40000+ 1 2.90000+ 1 6.70084- 4 1.72294- 2 1.40000+ 1 3.00000+ 1 9.96242- 5 1.72854- 2 1.40000+ 1 3.20000+ 1 1.43895- 3 1.73764- 2 1.40000+ 1 3.30000+ 1 1.74969- 4 1.73848- 2 1.60000+ 1 1.60000+ 1 1.35225- 5 1.82042- 2 1.60000+ 1 1.80000+ 1 6.73387- 4 1.83599- 2 1.60000+ 1 1.90000+ 1 6.67884- 5 1.85936- 2 1.60000+ 1 2.10000+ 1 1.26676- 4 1.88459- 2 1.60000+ 1 2.20000+ 1 3.11860- 5 1.88890- 2 1.60000+ 1 2.40000+ 1 1.40748- 5 1.92220- 2 1.60000+ 1 2.50000+ 1 8.27928- 6 1.92333- 2 1.60000+ 1 2.70000+ 1 6.34765- 6 1.93034- 2 1.60000+ 1 2.90000+ 1 1.46551- 4 1.93647- 2 1.60000+ 1 3.00000+ 1 1.54551- 5 1.94207- 2 1.60000+ 1 3.20000+ 1 2.29071- 5 1.95117- 2 1.60000+ 1 3.30000+ 1 5.51966- 6 1.95201- 2 1.80000+ 1 1.80000+ 1 6.94037- 4 1.85156- 2 1.80000+ 1 1.90000+ 1 1.51285- 3 1.87493- 2 1.80000+ 1 2.10000+ 1 6.91868- 4 1.90016- 2 1.80000+ 1 2.20000+ 1 7.92021- 4 1.90447- 2 1.80000+ 1 2.40000+ 1 4.66386- 5 1.93777- 2 1.80000+ 1 2.50000+ 1 2.87006- 5 1.93890- 2 1.80000+ 1 2.70000+ 1 1.72201- 4 1.94591- 2 1.80000+ 1 2.90000+ 1 3.16816- 4 1.95204- 2 1.80000+ 1 3.00000+ 1 3.54349- 4 1.95764- 2 1.80000+ 1 3.20000+ 1 1.33570- 4 1.96674- 2 1.80000+ 1 3.30000+ 1 1.52326- 4 1.96758- 2 1.90000+ 1 1.90000+ 1 3.39438- 5 1.89830- 2 1.90000+ 1 2.10000+ 1 6.46847- 4 1.92353- 2 1.90000+ 1 2.20000+ 1 9.02428- 5 1.92784- 2 1.90000+ 1 2.40000+ 1 2.31815- 5 1.96114- 2 1.90000+ 1 2.50000+ 1 1.04866- 5 1.96227- 2 1.90000+ 1 2.70000+ 1 1.62823- 5 1.96928- 2 1.90000+ 1 2.90000+ 1 3.28951- 4 1.97541- 2 1.90000+ 1 3.00000+ 1 1.54543- 5 1.98101- 2 1.90000+ 1 3.20000+ 1 1.21146- 4 1.99011- 2 1.90000+ 1 3.30000+ 1 1.65579- 5 1.99095- 2 2.10000+ 1 2.10000+ 1 5.12479- 4 1.94876- 2 2.10000+ 1 2.20000+ 1 1.82794- 3 1.95307- 2 2.10000+ 1 2.40000+ 1 1.50958- 4 1.98637- 2 2.10000+ 1 2.50000+ 1 3.00528- 4 1.98751- 2 2.10000+ 1 2.70000+ 1 3.22890- 5 1.99452- 2 2.10000+ 1 2.90000+ 1 1.49849- 4 2.00064- 2 2.10000+ 1 3.00000+ 1 1.48750- 4 2.00624- 2 2.10000+ 1 3.20000+ 1 1.91247- 4 2.01535- 2 2.10000+ 1 3.30000+ 1 3.45242- 4 2.01618- 2 2.20000+ 1 2.20000+ 1 9.52116- 5 1.95737- 2 2.20000+ 1 2.40000+ 1 6.56801- 5 1.99068- 2 2.20000+ 1 2.50000+ 1 2.53900- 5 1.99181- 2 2.20000+ 1 2.70000+ 1 7.45156- 6 1.99882- 2 2.20000+ 1 2.90000+ 1 1.65580- 4 2.00495- 2 2.20000+ 1 3.00000+ 1 2.04222- 5 2.01055- 2 2.20000+ 1 3.20000+ 1 3.29235- 4 2.01965- 2 2.20000+ 1 3.30000+ 1 3.53254- 5 2.02048- 2 2.40000+ 1 2.40000+ 1 3.86363- 6 2.02398- 2 2.40000+ 1 2.50000+ 1 2.62171- 5 2.02512- 2 2.40000+ 1 2.70000+ 1 3.58768- 6 2.03213- 2 2.40000+ 1 2.90000+ 1 9.93447- 6 2.03825- 2 2.40000+ 1 3.00000+ 1 5.24350- 6 2.04385- 2 2.40000+ 1 3.20000+ 1 2.59414- 5 2.05296- 2 2.40000+ 1 3.30000+ 1 1.13148- 5 2.05379- 2 2.50000+ 1 2.50000+ 1 1.65580- 6 2.02625- 2 2.50000+ 1 2.70000+ 1 1.93175- 6 2.03326- 2 2.50000+ 1 2.90000+ 1 5.51941- 6 2.03939- 2 2.50000+ 1 3.00000+ 1 2.20781- 6 2.04499- 2 2.50000+ 1 3.20000+ 1 5.18833- 5 2.05409- 2 2.50000+ 1 3.30000+ 1 4.41561- 6 2.05492- 2 2.70000+ 1 2.70000+ 1 8.27896- 7 2.04027- 2 2.70000+ 1 2.90000+ 1 3.75327- 5 2.04640- 2 2.70000+ 1 3.00000+ 1 3.86363- 6 2.05200- 2 2.70000+ 1 3.20000+ 1 5.79569- 6 2.06110- 2 2.70000+ 1 3.30000+ 1 1.37986- 6 2.06193- 2 2.90000+ 1 2.90000+ 1 3.61515- 5 2.05252- 2 2.90000+ 1 3.00000+ 1 7.69947- 5 2.05812- 2 2.90000+ 1 3.20000+ 1 2.89768- 5 2.06723- 2 2.90000+ 1 3.30000+ 1 3.17362- 5 2.06806- 2 3.00000+ 1 3.00000+ 1 1.65578- 6 2.06372- 2 3.00000+ 1 3.20000+ 1 2.78735- 5 2.07283- 2 3.00000+ 1 3.30000+ 1 3.86356- 6 2.07366- 2 3.20000+ 1 3.20000+ 1 1.87800- 5 2.08193- 2 3.20000+ 1 3.30000+ 1 6.52946- 5 2.08276- 2 3.30000+ 1 3.30000+ 1 3.52318- 6 2.08360- 2 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 2.15060- 2 1.16607- 2 1.00000+ 1 2.71781- 4 1.20005- 2 1.10000+ 1 2.47230- 4 1.28924- 2 1.30000+ 1 3.50481- 2 1.34452- 2 1.40000+ 1 3.07931- 1 1.36268- 2 1.60000+ 1 5.42881- 3 1.57621- 2 1.80000+ 1 6.04341- 5 1.59178- 2 1.90000+ 1 6.71981- 5 1.61515- 2 2.10000+ 1 7.05271- 3 1.64038- 2 2.20000+ 1 6.45821- 2 1.64469- 2 2.40000+ 1 9.02262- 5 1.67799- 2 2.50000+ 1 4.97921- 4 1.67912- 2 2.70000+ 1 1.37740- 3 1.68613- 2 2.90000+ 1 1.40100- 5 1.69226- 2 3.00000+ 1 1.60610- 5 1.69786- 2 3.20000+ 1 1.33360- 3 1.70696- 2 3.30000+ 1 1.22180- 2 1.70780- 2 3.50000+ 1 1.98710- 6 1.71731- 2 3.60000+ 1 1.07130- 5 1.71740- 2 4.10000+ 1 2.87201- 4 1.71298- 2 4.30000+ 1 2.56810- 6 1.71479- 2 4.40000+ 1 2.77151- 6 1.71574- 2 5.80000+ 1 3.11111- 5 1.71762- 2 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 4.25917- 4 6.13940- 3 8.00000+ 0 1.00000+ 1 1.85902- 4 6.47920- 3 8.00000+ 0 1.10000+ 1 1.80456- 2 7.37110- 3 8.00000+ 0 1.30000+ 1 2.82143- 3 7.92390- 3 8.00000+ 0 1.40000+ 1 5.67386- 3 8.10550- 3 8.00000+ 0 1.60000+ 1 1.74459- 4 1.02408- 2 8.00000+ 0 1.80000+ 1 3.12631- 5 1.03965- 2 8.00000+ 0 1.90000+ 1 2.99799- 3 1.06302- 2 8.00000+ 0 2.10000+ 1 3.40529- 4 1.08825- 2 8.00000+ 0 2.20000+ 1 6.49113- 4 1.09256- 2 8.00000+ 0 2.40000+ 1 3.30780- 4 1.12586- 2 8.00000+ 0 2.50000+ 1 5.59371- 4 1.12699- 2 8.00000+ 0 2.70000+ 1 4.16837- 5 1.13400- 2 8.00000+ 0 2.90000+ 1 6.72304- 6 1.14013- 2 8.00000+ 0 3.00000+ 1 6.40063- 4 1.14573- 2 8.00000+ 0 3.20000+ 1 5.74811- 5 1.15483- 2 8.00000+ 0 3.30000+ 1 1.05891- 4 1.15567- 2 1.00000+ 1 1.10000+ 1 3.02479- 2 7.71090- 3 1.00000+ 1 1.30000+ 1 1.29220- 3 8.26370- 3 1.00000+ 1 1.40000+ 1 9.56390- 3 8.44530- 3 1.00000+ 1 1.60000+ 1 3.96681- 5 1.05806- 2 1.00000+ 1 1.80000+ 1 7.05907- 6 1.07363- 2 1.00000+ 1 1.90000+ 1 5.21549- 3 1.09700- 2 1.00000+ 1 2.10000+ 1 2.54817- 4 1.12223- 2 1.00000+ 1 2.20000+ 1 1.57335- 3 1.12654- 2 1.00000+ 1 2.40000+ 1 2.81366- 4 1.15984- 2 1.00000+ 1 2.50000+ 1 6.70633- 4 1.16097- 2 1.00000+ 1 2.70000+ 1 9.74864- 6 1.16798- 2 1.00000+ 1 2.90000+ 1 2.35309- 6 1.17411- 2 1.00000+ 1 3.00000+ 1 1.12213- 3 1.17971- 2 1.00000+ 1 3.20000+ 1 4.87446- 5 1.18881- 2 1.00000+ 1 3.30000+ 1 2.81710- 4 1.18965- 2 1.10000+ 1 1.10000+ 1 3.59284- 2 8.60280- 3 1.10000+ 1 1.30000+ 1 3.76763- 2 9.15560- 3 1.10000+ 1 1.40000+ 1 4.77387- 2 9.33720- 3 1.10000+ 1 1.60000+ 1 4.80716- 3 1.14725- 2 1.10000+ 1 1.80000+ 1 7.23098- 3 1.16282- 2 1.10000+ 1 1.90000+ 1 1.50670- 2 1.18619- 2 1.10000+ 1 2.10000+ 1 8.54240- 3 1.21142- 2 1.10000+ 1 2.20000+ 1 1.07625- 2 1.21573- 2 1.10000+ 1 2.40000+ 1 8.99609- 4 1.24903- 2 1.10000+ 1 2.50000+ 1 1.07172- 3 1.25016- 2 1.10000+ 1 2.70000+ 1 1.22358- 3 1.25717- 2 1.10000+ 1 2.90000+ 1 1.69932- 3 1.26330- 2 1.10000+ 1 3.00000+ 1 3.40602- 3 1.26890- 2 1.10000+ 1 3.20000+ 1 1.63314- 3 1.27800- 2 1.10000+ 1 3.30000+ 1 2.03345- 3 1.27884- 2 1.30000+ 1 1.30000+ 1 4.92843- 3 9.70840- 3 1.30000+ 1 1.40000+ 1 9.17139- 2 9.89000- 3 1.30000+ 1 1.60000+ 1 6.83735- 4 1.20253- 2 1.30000+ 1 1.80000+ 1 3.44226- 4 1.21810- 2 1.30000+ 1 1.90000+ 1 5.84827- 3 1.24147- 2 1.30000+ 1 2.10000+ 1 1.87238- 3 1.26670- 2 1.30000+ 1 2.20000+ 1 1.45988- 2 1.27101- 2 1.30000+ 1 2.40000+ 1 4.83064- 4 1.30431- 2 1.30000+ 1 2.50000+ 1 1.61113- 3 1.30544- 2 1.30000+ 1 2.70000+ 1 1.72113- 4 1.31245- 2 1.30000+ 1 2.90000+ 1 8.20240- 5 1.31858- 2 1.30000+ 1 3.00000+ 1 1.22896- 3 1.32418- 2 1.30000+ 1 3.20000+ 1 3.47584- 4 1.33328- 2 1.30000+ 1 3.30000+ 1 2.57568- 3 1.33412- 2 1.40000+ 1 1.40000+ 1 6.05200- 2 1.00716- 2 1.40000+ 1 1.60000+ 1 1.38826- 3 1.22069- 2 1.40000+ 1 1.80000+ 1 2.05413- 3 1.23626- 2 1.40000+ 1 1.90000+ 1 8.29166- 3 1.25963- 2 1.40000+ 1 2.10000+ 1 1.75586- 2 1.28486- 2 1.40000+ 1 2.20000+ 1 2.21366- 2 1.28917- 2 1.40000+ 1 2.40000+ 1 5.04797- 3 1.32247- 2 1.40000+ 1 2.50000+ 1 4.54400- 3 1.32360- 2 1.40000+ 1 2.70000+ 1 3.51959- 4 1.33061- 2 1.40000+ 1 2.90000+ 1 4.72617- 4 1.33674- 2 1.40000+ 1 3.00000+ 1 1.80175- 3 1.34234- 2 1.40000+ 1 3.20000+ 1 3.25086- 3 1.35144- 2 1.40000+ 1 3.30000+ 1 4.03184- 3 1.35228- 2 1.60000+ 1 1.60000+ 1 1.88254- 5 1.43422- 2 1.60000+ 1 1.80000+ 1 7.73156- 6 1.44979- 2 1.60000+ 1 1.90000+ 1 7.96672- 4 1.47316- 2 1.60000+ 1 2.10000+ 1 8.87445- 5 1.49839- 2 1.60000+ 1 2.20000+ 1 1.68077- 4 1.50270- 2 1.60000+ 1 2.40000+ 1 4.06750- 5 1.53600- 2 1.60000+ 1 2.50000+ 1 7.79872- 5 1.53713- 2 1.60000+ 1 2.70000+ 1 9.07603- 6 1.54414- 2 1.60000+ 1 2.90000+ 1 1.68077- 6 1.55027- 2 1.60000+ 1 3.00000+ 1 1.70105- 4 1.55587- 2 1.60000+ 1 3.20000+ 1 1.51277- 5 1.56497- 2 1.60000+ 1 3.30000+ 1 2.79008- 5 1.56581- 2 1.80000+ 1 1.90000+ 1 1.23599- 3 1.48873- 2 1.80000+ 1 2.10000+ 1 6.21923- 5 1.51396- 2 1.80000+ 1 2.20000+ 1 3.71800- 4 1.51827- 2 1.80000+ 1 2.40000+ 1 4.23560- 5 1.55157- 2 1.80000+ 1 2.50000+ 1 9.41275- 5 1.55270- 2 1.80000+ 1 2.70000+ 1 2.01691- 6 1.55971- 2 1.80000+ 1 3.00000+ 1 2.65564- 4 1.57144- 2 1.80000+ 1 3.20000+ 1 1.14302- 5 1.58054- 2 1.80000+ 1 3.30000+ 1 6.72314- 5 1.58138- 2 1.90000+ 1 1.90000+ 1 1.50598- 3 1.51210- 2 1.90000+ 1 2.10000+ 1 1.33148- 3 1.53733- 2 1.90000+ 1 2.20000+ 1 1.84483- 3 1.54164- 2 1.90000+ 1 2.40000+ 1 1.15304- 4 1.57494- 2 1.90000+ 1 2.50000+ 1 1.44551- 4 1.57607- 2 1.90000+ 1 2.70000+ 1 2.02701- 4 1.58308- 2 1.90000+ 1 2.90000+ 1 2.90107- 4 1.58921- 2 1.90000+ 1 3.00000+ 1 6.73659- 4 1.59481- 2 1.90000+ 1 3.20000+ 1 2.54814- 4 1.60391- 2 1.90000+ 1 3.30000+ 1 3.47587- 4 1.60475- 2 2.10000+ 1 2.10000+ 1 1.70107- 4 1.56256- 2 2.10000+ 1 2.20000+ 1 2.93881- 3 1.56687- 2 2.10000+ 1 2.40000+ 1 6.01745- 5 1.60017- 2 2.10000+ 1 2.50000+ 1 1.88581- 4 1.60131- 2 2.10000+ 1 2.70000+ 1 2.25223- 5 1.60832- 2 2.10000+ 1 2.90000+ 1 1.47910- 5 1.61444- 2 2.10000+ 1 3.00000+ 1 2.80360- 4 1.62004- 2 2.10000+ 1 3.20000+ 1 6.25272- 5 1.62915- 2 2.10000+ 1 3.30000+ 1 5.22738- 4 1.62998- 2 2.20000+ 1 2.20000+ 1 2.03912- 3 1.57117- 2 2.20000+ 1 2.40000+ 1 6.22883- 4 1.60448- 2 2.20000+ 1 2.50000+ 1 5.49608- 4 1.60561- 2 2.20000+ 1 2.70000+ 1 4.30285- 5 1.61262- 2 2.20000+ 1 2.90000+ 1 8.67288- 5 1.61875- 2 2.20000+ 1 3.00000+ 1 3.99699- 4 1.62435- 2 2.20000+ 1 3.20000+ 1 5.48633- 4 1.63345- 2 2.20000+ 1 3.30000+ 1 7.42914- 4 1.63428- 2 2.40000+ 1 2.40000+ 1 3.02546- 6 1.63778- 2 2.40000+ 1 2.50000+ 1 8.77368- 5 1.63892- 2 2.40000+ 1 2.70000+ 1 8.74010- 6 1.64593- 2 2.40000+ 1 2.90000+ 1 9.07610- 6 1.65205- 2 2.40000+ 1 3.00000+ 1 2.35307- 5 1.65765- 2 2.40000+ 1 3.20000+ 1 1.00848- 5 1.66676- 2 2.40000+ 1 3.30000+ 1 1.04206- 4 1.66759- 2 2.50000+ 1 2.50000+ 1 3.12636- 5 1.64005- 2 2.50000+ 1 2.70000+ 1 1.74807- 5 1.64706- 2 2.50000+ 1 2.90000+ 1 1.98333- 5 1.65319- 2 2.50000+ 1 3.00000+ 1 2.99193- 5 1.65879- 2 2.50000+ 1 3.20000+ 1 3.15994- 5 1.66789- 2 2.50000+ 1 3.30000+ 1 9.14341- 5 1.66872- 2 2.70000+ 1 2.70000+ 1 1.01875- 6 1.65407- 2 2.70000+ 1 2.90000+ 1 3.39587- 7 1.66020- 2 2.70000+ 1 3.00000+ 1 4.38059- 5 1.66580- 2 2.70000+ 1 3.20000+ 1 4.07500- 6 1.67490- 2 2.70000+ 1 3.30000+ 1 7.13086- 6 1.67573- 2 2.90000+ 1 3.00000+ 1 6.33245- 5 1.67192- 2 2.90000+ 1 3.20000+ 1 2.73837- 6 1.68103- 2 2.90000+ 1 3.30000+ 1 1.60873- 5 1.68186- 2 3.00000+ 1 3.00000+ 1 7.53019- 5 1.67752- 2 3.00000+ 1 3.20000+ 1 5.37865- 5 1.68663- 2 3.00000+ 1 3.30000+ 1 7.53019- 5 1.68746- 2 3.20000+ 1 3.20000+ 1 5.71469- 6 1.69573- 2 3.20000+ 1 3.30000+ 1 9.78255- 5 1.69656- 2 3.30000+ 1 3.30000+ 1 6.75671- 5 1.69740- 2 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.06800- 5 3.39800- 4 1.10000+ 1 1.17100- 3 1.23170- 3 1.80000+ 1 2.66331- 3 4.25710- 3 1.90000+ 1 1.41780- 3 4.49080- 3 2.90000+ 1 7.05602- 4 5.26192- 3 3.00000+ 1 4.32851- 4 5.31791- 3 4.30000+ 1 1.31950- 4 5.48721- 3 4.40000+ 1 7.73292- 5 5.49673- 3 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.70000+ 1 1.56728- 2 1.91500- 5 1.00000+ 1 2.90000+ 1 1.63583- 2 8.04200- 5 1.00000+ 1 3.00000+ 1 1.94928- 2 1.36410- 4 1.00000+ 1 3.20000+ 1 1.11144- 2 2.27450- 4 1.00000+ 1 3.30000+ 1 1.44098- 2 2.35780- 4 1.00000+ 1 3.50000+ 1 2.84189- 4 3.30890- 4 1.00000+ 1 3.60000+ 1 3.56912- 4 3.31850- 4 1.00000+ 1 4.10000+ 1 2.99907- 3 2.87570- 4 1.00000+ 1 4.30000+ 1 2.62546- 3 3.05710- 4 1.00000+ 1 4.40000+ 1 2.89055- 3 3.15230- 4 1.00000+ 1 4.60000+ 1 6.29579- 5 3.35060- 4 1.00000+ 1 4.70000+ 1 7.37405- 5 3.35670- 4 1.00000+ 1 5.80000+ 1 3.10349- 4 3.34020- 4 1.10000+ 1 1.90000+ 1 4.30065- 2 2.01200- 4 1.10000+ 1 2.10000+ 1 1.07966- 2 4.53520- 4 1.10000+ 1 2.20000+ 1 2.68651- 2 4.96560- 4 1.10000+ 1 2.40000+ 1 2.09737- 1 8.29610- 4 1.10000+ 1 2.50000+ 1 2.53313- 1 8.40950- 4 1.10000+ 1 2.70000+ 1 1.20476- 2 9.11050- 4 1.10000+ 1 2.90000+ 1 1.23044- 2 9.72320- 4 1.10000+ 1 3.00000+ 1 9.86433- 3 1.02831- 3 1.10000+ 1 3.20000+ 1 2.38085- 3 1.11935- 3 1.10000+ 1 3.30000+ 1 5.54569- 3 1.12768- 3 1.10000+ 1 3.50000+ 1 2.54472- 3 1.22279- 3 1.10000+ 1 3.60000+ 1 2.93851- 3 1.22375- 3 1.10000+ 1 4.10000+ 1 2.35577- 3 1.17947- 3 1.10000+ 1 4.30000+ 1 2.02812- 3 1.19761- 3 1.10000+ 1 4.40000+ 1 1.50233- 3 1.20713- 3 1.10000+ 1 4.60000+ 1 1.45187- 5 1.22696- 3 1.10000+ 1 4.70000+ 1 3.01865- 5 1.22757- 3 1.10000+ 1 5.80000+ 1 2.46089- 4 1.22592- 3 1.30000+ 1 1.60000+ 1 2.80403- 2 3.64600- 4 1.30000+ 1 1.80000+ 1 5.87385- 3 5.20300- 4 1.30000+ 1 1.90000+ 1 9.96578- 3 7.54000- 4 1.30000+ 1 2.10000+ 1 9.50723- 3 1.00632- 3 1.30000+ 1 2.20000+ 1 1.12972- 2 1.04936- 3 1.30000+ 1 2.40000+ 1 1.06267- 2 1.38241- 3 1.30000+ 1 2.50000+ 1 1.00492- 2 1.39375- 3 1.30000+ 1 2.70000+ 1 4.40359- 3 1.46385- 3 1.30000+ 1 2.90000+ 1 1.09345- 3 1.52512- 3 1.30000+ 1 3.00000+ 1 1.72357- 3 1.58111- 3 1.30000+ 1 3.20000+ 1 1.47626- 3 1.67215- 3 1.30000+ 1 3.30000+ 1 1.90563- 3 1.68048- 3 1.30000+ 1 3.50000+ 1 1.39721- 4 1.77559- 3 1.30000+ 1 3.60000+ 1 1.19747- 4 1.77655- 3 1.30000+ 1 4.10000+ 1 7.94045- 4 1.73227- 3 1.30000+ 1 4.30000+ 1 1.77823- 4 1.75041- 3 1.30000+ 1 4.40000+ 1 2.52854- 4 1.75993- 3 1.30000+ 1 4.60000+ 1 8.91250- 6 1.77976- 3 1.30000+ 1 4.70000+ 1 1.03499- 5 1.78037- 3 1.30000+ 1 5.80000+ 1 7.99221- 5 1.77872- 3 1.40000+ 1 1.60000+ 1 3.81560- 2 5.46200- 4 1.40000+ 1 1.80000+ 1 9.01841- 4 7.01900- 4 1.40000+ 1 1.90000+ 1 1.28239- 2 9.35600- 4 1.40000+ 1 2.10000+ 1 1.29608- 2 1.18792- 3 1.40000+ 1 2.20000+ 1 1.76402- 2 1.23096- 3 1.40000+ 1 2.40000+ 1 1.26730- 2 1.56401- 3 1.40000+ 1 2.50000+ 1 1.88941- 2 1.57535- 3 1.40000+ 1 2.70000+ 1 5.90016- 3 1.64545- 3 1.40000+ 1 2.90000+ 1 2.40631- 4 1.70672- 3 1.40000+ 1 3.00000+ 1 2.18288- 3 1.76271- 3 1.40000+ 1 3.20000+ 1 2.23374- 3 1.85375- 3 1.40000+ 1 3.30000+ 1 2.86725- 3 1.86208- 3 1.40000+ 1 3.50000+ 1 1.55678- 4 1.95719- 3 1.40000+ 1 3.60000+ 1 2.32287- 4 1.95815- 3 1.40000+ 1 4.10000+ 1 1.05967- 3 1.91387- 3 1.40000+ 1 4.30000+ 1 4.25486- 5 1.93201- 3 1.40000+ 1 4.40000+ 1 3.19968- 4 1.94153- 3 1.40000+ 1 4.60000+ 1 1.36563- 5 1.96136- 3 1.40000+ 1 4.70000+ 1 1.55248- 5 1.96197- 3 1.40000+ 1 5.80000+ 1 1.06506- 4 1.96032- 3 1.60000+ 1 1.60000+ 1 2.21959- 3 2.68150- 3 1.60000+ 1 1.80000+ 1 3.94997- 3 2.83720- 3 1.60000+ 1 1.90000+ 1 6.12950- 3 3.07090- 3 1.60000+ 1 2.10000+ 1 7.40372- 3 3.32322- 3 1.60000+ 1 2.20000+ 1 1.02411- 2 3.36626- 3 1.60000+ 1 2.40000+ 1 5.64777- 3 3.69931- 3 1.60000+ 1 2.50000+ 1 6.98215- 3 3.71065- 3 1.60000+ 1 2.70000+ 1 9.13959- 4 3.78075- 3 1.60000+ 1 2.90000+ 1 9.38960- 4 3.84202- 3 1.60000+ 1 3.00000+ 1 1.43450- 3 3.89801- 3 1.60000+ 1 3.20000+ 1 1.39543- 3 3.98905- 3 1.60000+ 1 3.30000+ 1 1.91303- 3 3.99738- 3 1.60000+ 1 3.50000+ 1 9.60244- 5 4.09249- 3 1.60000+ 1 3.60000+ 1 1.14282- 4 4.09345- 3 1.60000+ 1 4.10000+ 1 1.77244- 4 4.04917- 3 1.60000+ 1 4.30000+ 1 1.59418- 4 4.06731- 3 1.60000+ 1 4.40000+ 1 2.22369- 4 4.07683- 3 1.60000+ 1 4.60000+ 1 8.48089- 6 4.09666- 3 1.60000+ 1 4.70000+ 1 1.04929- 5 4.09727- 3 1.60000+ 1 5.80000+ 1 1.81121- 5 4.09562- 3 1.80000+ 1 1.80000+ 1 1.49207- 4 2.99290- 3 1.80000+ 1 1.90000+ 1 4.88311- 4 3.22660- 3 1.80000+ 1 2.10000+ 1 2.34023- 4 3.47892- 3 1.80000+ 1 2.20000+ 1 1.07089- 4 3.52196- 3 1.80000+ 1 2.40000+ 1 2.12750- 5 3.85501- 3 1.80000+ 1 2.50000+ 1 5.11743- 4 3.86635- 3 1.80000+ 1 2.70000+ 1 6.09050- 4 3.93645- 3 1.80000+ 1 2.90000+ 1 5.07436- 5 3.99772- 3 1.80000+ 1 3.00000+ 1 7.90623- 5 4.05371- 3 1.80000+ 1 3.20000+ 1 3.73747- 5 4.14475- 3 1.80000+ 1 3.30000+ 1 2.55877- 5 4.15308- 3 1.80000+ 1 3.50000+ 1 1.43751- 7 4.24819- 3 1.80000+ 1 3.60000+ 1 5.31878- 6 4.24915- 3 1.80000+ 1 4.10000+ 1 1.09827- 4 4.20487- 3 1.80000+ 1 4.30000+ 1 8.04992- 6 4.22301- 3 1.80000+ 1 4.40000+ 1 1.14994- 5 4.23253- 3 1.80000+ 1 4.60000+ 1 2.87492- 7 4.25236- 3 1.80000+ 1 4.70000+ 1 1.43751- 7 4.25297- 3 1.80000+ 1 5.80000+ 1 1.10686- 5 4.25132- 3 1.90000+ 1 1.90000+ 1 4.55095- 4 3.46030- 3 1.90000+ 1 2.10000+ 1 6.62073- 4 3.71262- 3 1.90000+ 1 2.20000+ 1 1.46726- 3 3.75566- 3 1.90000+ 1 2.40000+ 1 9.32911- 4 4.08871- 3 1.90000+ 1 2.50000+ 1 1.36284- 3 4.10005- 3 1.90000+ 1 2.70000+ 1 9.50138- 4 4.17015- 3 1.90000+ 1 2.90000+ 1 9.94683- 5 4.23142- 3 1.90000+ 1 3.00000+ 1 1.80109- 4 4.28741- 3 1.90000+ 1 3.20000+ 1 1.21466- 4 4.37845- 3 1.90000+ 1 3.30000+ 1 2.59607- 4 4.38678- 3 1.90000+ 1 3.50000+ 1 1.48055- 5 4.48189- 3 1.90000+ 1 3.60000+ 1 1.89741- 5 4.48285- 3 1.90000+ 1 4.10000+ 1 1.71775- 4 4.43857- 3 1.90000+ 1 4.30000+ 1 1.65300- 5 4.45671- 3 1.90000+ 1 4.40000+ 1 2.71668- 5 4.46623- 3 1.90000+ 1 4.60000+ 1 7.18709- 7 4.48606- 3 1.90000+ 1 4.70000+ 1 1.43748- 6 4.48667- 3 1.90000+ 1 5.80000+ 1 1.72495- 5 4.48502- 3 2.10000+ 1 2.10000+ 1 9.87540- 5 3.96494- 3 2.10000+ 1 2.20000+ 1 2.44369- 4 4.00798- 3 2.10000+ 1 2.40000+ 1 4.51208- 4 4.34103- 3 2.10000+ 1 2.50000+ 1 2.64823- 3 4.35237- 3 2.10000+ 1 2.70000+ 1 1.11553- 3 4.42247- 3 2.10000+ 1 2.90000+ 1 3.43552- 5 4.48374- 3 2.10000+ 1 3.00000+ 1 1.16859- 4 4.53973- 3 2.10000+ 1 3.20000+ 1 2.91802- 5 4.63077- 3 2.10000+ 1 3.30000+ 1 3.83800- 5 4.63910- 3 2.10000+ 1 3.50000+ 1 6.89971- 6 4.73421- 3 2.10000+ 1 3.60000+ 1 3.20550- 5 4.73517- 3 2.10000+ 1 4.10000+ 1 1.99954- 4 4.69089- 3 2.10000+ 1 4.30000+ 1 5.31865- 6 4.70903- 3 2.10000+ 1 4.40000+ 1 1.71067- 5 4.71855- 3 2.10000+ 1 4.60000+ 1 1.43748- 7 4.73838- 3 2.10000+ 1 4.70000+ 1 1.43748- 7 4.73899- 3 2.10000+ 1 5.80000+ 1 2.01243- 5 4.73734- 3 2.20000+ 1 2.20000+ 1 2.17342- 4 4.05102- 3 2.20000+ 1 2.40000+ 1 2.33110- 3 4.38407- 3 2.20000+ 1 2.50000+ 1 1.51802- 3 4.39541- 3 2.20000+ 1 2.70000+ 1 1.53481- 3 4.46551- 3 2.20000+ 1 2.90000+ 1 1.81119- 5 4.52678- 3 2.20000+ 1 3.00000+ 1 2.55143- 4 4.58277- 3 2.20000+ 1 3.20000+ 1 3.36359- 5 4.67381- 3 2.20000+ 1 3.30000+ 1 6.62657- 5 4.68214- 3 2.20000+ 1 3.50000+ 1 2.86048- 5 4.77725- 3 2.20000+ 1 3.60000+ 1 1.98376- 5 4.77821- 3 2.20000+ 1 4.10000+ 1 2.74707- 4 4.73393- 3 2.20000+ 1 4.30000+ 1 2.87487- 6 4.75207- 3 2.20000+ 1 4.40000+ 1 3.72301- 5 4.76159- 3 2.20000+ 1 4.60000+ 1 1.43748- 7 4.78142- 3 2.20000+ 1 4.70000+ 1 2.87487- 7 4.78203- 3 2.20000+ 1 5.80000+ 1 2.75996- 5 4.78038- 3 2.40000+ 1 2.40000+ 1 6.32342- 4 4.71712- 3 2.40000+ 1 2.50000+ 1 4.12711- 3 4.72846- 3 2.40000+ 1 2.70000+ 1 7.76930- 4 4.79856- 3 2.40000+ 1 2.90000+ 1 4.74354- 6 4.85983- 3 2.40000+ 1 3.00000+ 1 1.14992- 4 4.91582- 3 2.40000+ 1 3.20000+ 1 7.57535- 5 5.00686- 3 2.40000+ 1 3.30000+ 1 4.45326- 4 5.01519- 3 2.40000+ 1 3.50000+ 1 1.95499- 5 5.11030- 3 2.40000+ 1 3.60000+ 1 5.23236- 5 5.11126- 3 2.40000+ 1 4.10000+ 1 1.36994- 4 5.06698- 3 2.40000+ 1 4.30000+ 1 8.62454- 7 5.08512- 3 2.40000+ 1 4.40000+ 1 1.58118- 5 5.09464- 3 2.40000+ 1 4.60000+ 1 4.31237- 7 5.11447- 3 2.40000+ 1 4.70000+ 1 2.44371- 6 5.11508- 3 2.40000+ 1 5.80000+ 1 1.37994- 5 5.11343- 3 2.50000+ 1 2.50000+ 1 1.42779- 3 4.73980- 3 2.50000+ 1 2.70000+ 1 9.58645- 4 4.80990- 3 2.50000+ 1 2.90000+ 1 1.04359- 4 4.87117- 3 2.50000+ 1 3.00000+ 1 1.80689- 4 4.92716- 3 2.50000+ 1 3.20000+ 1 4.90748- 4 5.01820- 3 2.50000+ 1 3.30000+ 1 2.72688- 4 5.02653- 3 2.50000+ 1 3.50000+ 1 5.33285- 5 5.12164- 3 2.50000+ 1 3.60000+ 1 3.95303- 5 5.12260- 3 2.50000+ 1 4.10000+ 1 1.69049- 4 5.07832- 3 2.50000+ 1 4.30000+ 1 1.71067- 5 5.09646- 3 2.50000+ 1 4.40000+ 1 2.51554- 5 5.10598- 3 2.50000+ 1 4.60000+ 1 3.01865- 6 5.12581- 3 2.50000+ 1 4.70000+ 1 1.43748- 6 5.12642- 3 2.50000+ 1 5.80000+ 1 1.69618- 5 5.12477- 3 2.70000+ 1 2.70000+ 1 8.63942- 5 4.88000- 3 2.70000+ 1 2.90000+ 1 1.46188- 4 4.94127- 3 2.70000+ 1 3.00000+ 1 2.22371- 4 4.99726- 3 2.70000+ 1 3.20000+ 1 2.11738- 4 5.08830- 3 2.70000+ 1 3.30000+ 1 2.88650- 4 5.09663- 3 2.70000+ 1 3.50000+ 1 1.32249- 5 5.19174- 3 2.70000+ 1 3.60000+ 1 1.56690- 5 5.19270- 3 2.70000+ 1 4.10000+ 1 3.29189- 5 5.14842- 3 2.70000+ 1 4.30000+ 1 2.48691- 5 5.16656- 3 2.70000+ 1 4.40000+ 1 3.44987- 5 5.17608- 3 2.70000+ 1 4.60000+ 1 1.29371- 6 5.19591- 3 2.70000+ 1 4.70000+ 1 1.58119- 6 5.19652- 3 2.70000+ 1 5.80000+ 1 3.30618- 6 5.19487- 3 2.90000+ 1 2.90000+ 1 4.16860- 6 5.00254- 3 2.90000+ 1 3.00000+ 1 1.55250- 5 5.05853- 3 2.90000+ 1 3.20000+ 1 5.46230- 6 5.14957- 3 2.90000+ 1 3.30000+ 1 4.59986- 6 5.15790- 3 2.90000+ 1 3.60000+ 1 1.14992- 6 5.25397- 3 2.90000+ 1 4.10000+ 1 2.64496- 5 5.20969- 3 2.90000+ 1 4.30000+ 1 1.29370- 6 5.22783- 3 2.90000+ 1 4.40000+ 1 2.29993- 6 5.23735- 3 2.90000+ 1 5.80000+ 1 2.73120- 6 5.25614- 3 3.00000+ 1 3.00000+ 1 1.71070- 5 5.11452- 3 3.00000+ 1 3.20000+ 1 2.15615- 5 5.20556- 3 3.00000+ 1 3.30000+ 1 4.54244- 5 5.21389- 3 3.00000+ 1 3.50000+ 1 1.86868- 6 5.30900- 3 3.00000+ 1 3.60000+ 1 2.44374- 6 5.30996- 3 3.00000+ 1 4.10000+ 1 4.01064- 5 5.26568- 3 3.00000+ 1 4.30000+ 1 2.58743- 6 5.28382- 3 3.00000+ 1 4.40000+ 1 5.17495- 6 5.29334- 3 3.00000+ 1 4.60000+ 1 1.43750- 7 5.31317- 3 3.00000+ 1 4.70000+ 1 2.87491- 7 5.31378- 3 3.00000+ 1 5.80000+ 1 4.02493- 6 5.31213- 3 3.20000+ 1 3.20000+ 1 1.86864- 6 5.29660- 3 3.20000+ 1 3.30000+ 1 5.46222- 6 5.30493- 3 3.20000+ 1 3.50000+ 1 1.14990- 6 5.40004- 3 3.20000+ 1 3.60000+ 1 6.18126- 6 5.40100- 3 3.20000+ 1 4.10000+ 1 3.79483- 5 5.35672- 3 3.20000+ 1 4.30000+ 1 8.62444- 7 5.37486- 3 3.20000+ 1 4.40000+ 1 3.16232- 6 5.38438- 3 3.20000+ 1 5.80000+ 1 3.88106- 6 5.40317- 3 3.30000+ 1 3.30000+ 1 4.88730- 6 5.31326- 3 3.30000+ 1 3.50000+ 1 5.74963- 6 5.40837- 3 3.30000+ 1 3.60000+ 1 3.59360- 6 5.40933- 3 3.30000+ 1 4.10000+ 1 5.17487- 5 5.36505- 3 3.30000+ 1 4.30000+ 1 7.18711- 7 5.38319- 3 3.30000+ 1 4.40000+ 1 6.61236- 6 5.39271- 3 3.30000+ 1 5.80000+ 1 5.17487- 6 5.41150- 3 3.50000+ 1 3.60000+ 1 7.18714- 7 5.50444- 3 3.50000+ 1 4.10000+ 1 2.29992- 6 5.46016- 3 3.50000+ 1 4.40000+ 1 2.87487- 7 5.48782- 3 3.50000+ 1 5.80000+ 1 2.87487- 7 5.50661- 3 3.60000+ 1 3.60000+ 1 1.43746- 7 5.50540- 3 3.60000+ 1 4.10000+ 1 2.73115- 6 5.46112- 3 3.60000+ 1 4.30000+ 1 1.43746- 7 5.47926- 3 3.60000+ 1 4.40000+ 1 2.87483- 7 5.48878- 3 3.60000+ 1 5.80000+ 1 2.87483- 7 5.50757- 3 4.10000+ 1 4.10000+ 1 3.21172- 6 5.41684- 3 4.10000+ 1 4.30000+ 1 4.52561- 6 5.43498- 3 4.10000+ 1 4.40000+ 1 6.27781- 6 5.44450- 3 4.10000+ 1 4.60000+ 1 2.91975- 7 5.46433- 3 4.10000+ 1 4.70000+ 1 2.91975- 7 5.46494- 3 4.10000+ 1 5.80000+ 1 5.83941- 7 5.46329- 3 4.30000+ 1 4.30000+ 1 1.45446- 7 5.45312- 3 4.30000+ 1 4.40000+ 1 4.36328- 7 5.46264- 3 4.30000+ 1 5.80000+ 1 4.36328- 7 5.48143- 3 4.40000+ 1 4.40000+ 1 4.09238- 7 5.47216- 3 4.40000+ 1 5.80000+ 1 5.45634- 7 5.49095- 3 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.86969- 3 1.44470- 3 1.60000+ 1 1.01670- 3 3.76160- 3 2.10000+ 1 5.03198- 3 4.40332- 3 2.70000+ 1 2.64399- 4 4.86085- 3 3.20000+ 1 1.19670- 3 5.06915- 3 4.10000+ 1 5.52648- 5 5.12927- 3 5.80000+ 1 5.79318- 6 5.17572- 3 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 8.44671- 3 1.13720- 4 1.10000+ 1 2.20000+ 1 1.77059- 2 1.56760- 4 1.10000+ 1 2.40000+ 1 2.83975- 2 4.89810- 4 1.10000+ 1 2.50000+ 1 2.33611- 2 5.01150- 4 1.10000+ 1 2.70000+ 1 3.11641- 3 5.71250- 4 1.10000+ 1 2.90000+ 1 4.50033- 3 6.32520- 4 1.10000+ 1 3.00000+ 1 1.91063- 3 6.88510- 4 1.10000+ 1 3.20000+ 1 1.83283- 3 7.79550- 4 1.10000+ 1 3.30000+ 1 3.25943- 3 7.87880- 4 1.10000+ 1 3.50000+ 1 3.95407- 4 8.82990- 4 1.10000+ 1 3.60000+ 1 3.20035- 4 8.83950- 4 1.10000+ 1 4.10000+ 1 5.82706- 4 8.39670- 4 1.10000+ 1 4.30000+ 1 6.83996- 4 8.57810- 4 1.10000+ 1 4.40000+ 1 2.79552- 4 8.67330- 4 1.10000+ 1 4.60000+ 1 1.13060- 5 8.87160- 4 1.10000+ 1 4.70000+ 1 1.78623- 5 8.87770- 4 1.10000+ 1 5.80000+ 1 5.89917- 5 8.86120- 4 1.30000+ 1 1.60000+ 1 4.76134- 2 2.48000- 5 1.30000+ 1 1.80000+ 1 4.93477- 2 1.80500- 4 1.30000+ 1 1.90000+ 1 3.34532- 2 4.14200- 4 1.30000+ 1 2.10000+ 1 1.65905- 2 6.66520- 4 1.30000+ 1 2.20000+ 1 2.59540- 2 7.09560- 4 1.30000+ 1 2.40000+ 1 1.49828- 1 1.04261- 3 1.30000+ 1 2.50000+ 1 2.35231- 1 1.05395- 3 1.30000+ 1 2.70000+ 1 1.17114- 2 1.12405- 3 1.30000+ 1 2.90000+ 1 9.62779- 3 1.18532- 3 1.30000+ 1 3.00000+ 1 7.53253- 3 1.24131- 3 1.30000+ 1 3.20000+ 1 3.34089- 3 1.33235- 3 1.30000+ 1 3.30000+ 1 5.18374- 3 1.34068- 3 1.30000+ 1 3.50000+ 1 1.86405- 3 1.43579- 3 1.30000+ 1 3.60000+ 1 2.96254- 3 1.43675- 3 1.30000+ 1 4.10000+ 1 2.31124- 3 1.39247- 3 1.30000+ 1 4.30000+ 1 1.57735- 3 1.41061- 3 1.30000+ 1 4.40000+ 1 1.15757- 3 1.42013- 3 1.30000+ 1 4.60000+ 1 2.09755- 5 1.43996- 3 1.30000+ 1 4.70000+ 1 2.90047- 5 1.44057- 3 1.30000+ 1 5.80000+ 1 2.31377- 4 1.43892- 3 1.40000+ 1 1.60000+ 1 7.22413- 3 2.06400- 4 1.40000+ 1 1.80000+ 1 5.58708- 2 3.62100- 4 1.40000+ 1 1.90000+ 1 4.51799- 3 5.95800- 4 1.40000+ 1 2.10000+ 1 1.77060- 3 8.48120- 4 1.40000+ 1 2.20000+ 1 2.71528- 3 8.91160- 4 1.40000+ 1 2.40000+ 1 7.87697- 3 1.22421- 3 1.40000+ 1 2.50000+ 1 4.73675- 3 1.23555- 3 1.40000+ 1 2.70000+ 1 1.18950- 3 1.30565- 3 1.40000+ 1 2.90000+ 1 8.29366- 3 1.36692- 3 1.40000+ 1 3.00000+ 1 8.65563- 4 1.42291- 3 1.40000+ 1 3.20000+ 1 1.41088- 4 1.51395- 3 1.40000+ 1 3.30000+ 1 4.61624- 4 1.52228- 3 1.40000+ 1 3.50000+ 1 1.41586- 4 1.61739- 3 1.40000+ 1 3.60000+ 1 6.73514- 5 1.61835- 3 1.40000+ 1 4.10000+ 1 2.17282- 4 1.57407- 3 1.40000+ 1 4.30000+ 1 1.27916- 3 1.59221- 3 1.40000+ 1 4.40000+ 1 1.29128- 4 1.60173- 3 1.40000+ 1 4.60000+ 1 8.19307- 7 1.62156- 3 1.40000+ 1 4.70000+ 1 2.45798- 6 1.62217- 3 1.40000+ 1 5.80000+ 1 2.19581- 5 1.62052- 3 1.60000+ 1 1.60000+ 1 5.22114- 4 2.34170- 3 1.60000+ 1 1.80000+ 1 8.17535- 3 2.49740- 3 1.60000+ 1 1.90000+ 1 1.00009- 3 2.73110- 3 1.60000+ 1 2.10000+ 1 3.27873- 4 2.98342- 3 1.60000+ 1 2.20000+ 1 9.28702- 4 3.02646- 3 1.60000+ 1 2.40000+ 1 6.56990- 5 3.35951- 3 1.60000+ 1 2.50000+ 1 6.80173- 4 3.37085- 3 1.60000+ 1 2.70000+ 1 1.99954- 4 3.44095- 3 1.60000+ 1 2.90000+ 1 1.19758- 3 3.50222- 3 1.60000+ 1 3.00000+ 1 2.10433- 4 3.55821- 3 1.60000+ 1 3.20000+ 1 4.12614- 5 3.64925- 3 1.60000+ 1 3.30000+ 1 1.55205- 4 3.65758- 3 1.60000+ 1 3.50000+ 1 9.52183- 7 3.75269- 3 1.60000+ 1 3.60000+ 1 7.61743- 6 3.75365- 3 1.60000+ 1 4.10000+ 1 3.77710- 5 3.70937- 3 1.60000+ 1 4.30000+ 1 1.85359- 4 3.72751- 3 1.60000+ 1 4.40000+ 1 3.17396- 5 3.73703- 3 1.60000+ 1 4.60000+ 1 3.17396- 7 3.75686- 3 1.60000+ 1 4.70000+ 1 9.52183- 7 3.75747- 3 1.60000+ 1 5.80000+ 1 3.80863- 6 3.75582- 3 1.80000+ 1 1.80000+ 1 6.41330- 3 2.65310- 3 1.80000+ 1 1.90000+ 1 1.70314- 2 2.88680- 3 1.80000+ 1 2.10000+ 1 1.73845- 2 3.13912- 3 1.80000+ 1 2.20000+ 1 2.70893- 2 3.18216- 3 1.80000+ 1 2.40000+ 1 1.09443- 2 3.51521- 3 1.80000+ 1 2.50000+ 1 1.78113- 2 3.52655- 3 1.80000+ 1 2.70000+ 1 2.06009- 3 3.59665- 3 1.80000+ 1 2.90000+ 1 2.50498- 3 3.65792- 3 1.80000+ 1 3.00000+ 1 3.94722- 3 3.71391- 3 1.80000+ 1 3.20000+ 1 3.29171- 3 3.80495- 3 1.80000+ 1 3.30000+ 1 5.00942- 3 3.81328- 3 1.80000+ 1 3.50000+ 1 1.86610- 4 3.90839- 3 1.80000+ 1 3.60000+ 1 2.89450- 4 3.90935- 3 1.80000+ 1 4.10000+ 1 4.12280- 4 3.86507- 3 1.80000+ 1 4.30000+ 1 4.13207- 4 3.88321- 3 1.80000+ 1 4.40000+ 1 6.10315- 4 3.89273- 3 1.80000+ 1 4.60000+ 1 2.03118- 5 3.91256- 3 1.80000+ 1 4.70000+ 1 2.76115- 5 3.91317- 3 1.80000+ 1 5.80000+ 1 4.22109- 5 3.91152- 3 1.90000+ 1 1.90000+ 1 4.24643- 4 3.12050- 3 1.90000+ 1 2.10000+ 1 9.80367- 4 3.37282- 3 1.90000+ 1 2.20000+ 1 9.24823- 4 3.41586- 3 1.90000+ 1 2.40000+ 1 7.02121- 3 3.74891- 3 1.90000+ 1 2.50000+ 1 1.95246- 3 3.76025- 3 1.90000+ 1 2.70000+ 1 1.59008- 4 3.83035- 3 1.90000+ 1 2.90000+ 1 2.54402- 3 3.89162- 3 1.90000+ 1 3.00000+ 1 1.65984- 4 3.94761- 3 1.90000+ 1 3.20000+ 1 1.44091- 4 4.03865- 3 1.90000+ 1 3.30000+ 1 1.54238- 4 4.04698- 3 1.90000+ 1 3.50000+ 1 9.99730- 5 4.14209- 3 1.90000+ 1 3.60000+ 1 2.79283- 5 4.14305- 3 1.90000+ 1 4.10000+ 1 2.88814- 5 4.09877- 3 1.90000+ 1 4.30000+ 1 3.94803- 4 4.11691- 3 1.90000+ 1 4.40000+ 1 2.47551- 5 4.12643- 3 1.90000+ 1 4.60000+ 1 9.52123- 7 4.14626- 3 1.90000+ 1 4.70000+ 1 9.52123- 7 4.14687- 3 1.90000+ 1 5.80000+ 1 2.85643- 6 4.14522- 3 2.10000+ 1 2.10000+ 1 6.57935- 4 3.62514- 3 2.10000+ 1 2.20000+ 1 1.21012- 3 3.66818- 3 2.10000+ 1 2.40000+ 1 7.14113- 4 4.00123- 3 2.10000+ 1 2.50000+ 1 9.74058- 4 4.01257- 3 2.10000+ 1 2.70000+ 1 7.99799- 5 4.08267- 3 2.10000+ 1 2.90000+ 1 2.51362- 3 4.14394- 3 2.10000+ 1 3.00000+ 1 2.12023- 4 4.19993- 3 2.10000+ 1 3.20000+ 1 2.01542- 4 4.29097- 3 2.10000+ 1 3.30000+ 1 2.05029- 4 4.29930- 3 2.10000+ 1 3.50000+ 1 6.34771- 6 4.39441- 3 2.10000+ 1 3.60000+ 1 1.14257- 5 4.39537- 3 2.10000+ 1 4.10000+ 1 1.58685- 5 4.35109- 3 2.10000+ 1 4.30000+ 1 3.87214- 4 4.36923- 3 2.10000+ 1 4.40000+ 1 3.23729- 5 4.37875- 3 2.10000+ 1 4.60000+ 1 1.26950- 6 4.39858- 3 2.10000+ 1 4.70000+ 1 1.26950- 6 4.39919- 3 2.10000+ 1 5.80000+ 1 1.58685- 6 4.39754- 3 2.20000+ 1 2.20000+ 1 3.34835- 4 3.71122- 3 2.20000+ 1 2.40000+ 1 1.54756- 3 4.04427- 3 2.20000+ 1 2.50000+ 1 3.98633- 4 4.05561- 3 2.20000+ 1 2.70000+ 1 1.83442- 4 4.12571- 3 2.20000+ 1 2.90000+ 1 3.96145- 3 4.18698- 3 2.20000+ 1 3.00000+ 1 1.63456- 4 4.24297- 3 2.20000+ 1 3.20000+ 1 1.73289- 4 4.33401- 3 2.20000+ 1 3.30000+ 1 1.04417- 4 4.34234- 3 2.20000+ 1 3.50000+ 1 1.20603- 5 4.43745- 3 2.20000+ 1 3.60000+ 1 4.12598- 6 4.43841- 3 2.20000+ 1 4.10000+ 1 3.49114- 5 4.39413- 3 2.20000+ 1 4.30000+ 1 6.11897- 4 4.41227- 3 2.20000+ 1 4.40000+ 1 2.41196- 5 4.42179- 3 2.20000+ 1 4.60000+ 1 9.52147- 7 4.44162- 3 2.20000+ 1 4.70000+ 1 6.34765- 7 4.44223- 3 2.20000+ 1 5.80000+ 1 3.49114- 6 4.44058- 3 2.40000+ 1 2.40000+ 1 2.86559- 3 4.37732- 3 2.40000+ 1 2.50000+ 1 1.82581- 2 4.38866- 3 2.40000+ 1 2.70000+ 1 1.07908- 5 4.45876- 3 2.40000+ 1 2.90000+ 1 1.45807- 3 4.52003- 3 2.40000+ 1 3.00000+ 1 1.52723- 3 4.57602- 3 2.40000+ 1 3.20000+ 1 1.45037- 4 4.66706- 3 2.40000+ 1 3.30000+ 1 3.50058- 4 4.67539- 3 2.40000+ 1 3.50000+ 1 8.12467- 5 4.77050- 3 2.40000+ 1 3.60000+ 1 2.45645- 4 4.77146- 3 2.40000+ 1 4.10000+ 1 1.90430- 6 4.72718- 3 2.40000+ 1 4.30000+ 1 2.22812- 4 4.74532- 3 2.40000+ 1 4.40000+ 1 2.33273- 4 4.75484- 3 2.40000+ 1 4.60000+ 1 9.52137- 7 4.77467- 3 2.40000+ 1 4.70000+ 1 1.90430- 6 4.77528- 3 2.40000+ 1 5.80000+ 1 3.17380- 7 4.77363- 3 2.50000+ 1 2.50000+ 1 9.51177- 4 4.40000- 3 2.50000+ 1 2.70000+ 1 1.39009- 4 4.47010- 3 2.50000+ 1 2.90000+ 1 2.30540- 3 4.53137- 3 2.50000+ 1 3.00000+ 1 3.75449- 4 4.58736- 3 2.50000+ 1 3.20000+ 1 1.92970- 4 4.67840- 3 2.50000+ 1 3.30000+ 1 7.83928- 5 4.68673- 3 2.50000+ 1 3.50000+ 1 2.50096- 4 4.78184- 3 2.50000+ 1 3.60000+ 1 2.60240- 5 4.78280- 3 2.50000+ 1 4.10000+ 1 2.63430- 5 4.73852- 3 2.50000+ 1 4.30000+ 1 3.47221- 4 4.75666- 3 2.50000+ 1 4.40000+ 1 5.61762- 5 4.76618- 3 2.50000+ 1 4.60000+ 1 1.26948- 6 4.78601- 3 2.50000+ 1 4.70000+ 1 3.17382- 7 4.78662- 3 2.50000+ 1 5.80000+ 1 2.53899- 6 4.78497- 3 2.70000+ 1 2.70000+ 1 1.90431- 5 4.54020- 3 2.70000+ 1 2.90000+ 1 3.03731- 4 4.60147- 3 2.70000+ 1 3.00000+ 1 3.33257- 5 4.65746- 3 2.70000+ 1 3.20000+ 1 9.52142- 6 4.74850- 3 2.70000+ 1 3.30000+ 1 3.14209- 5 4.75683- 3 2.70000+ 1 3.50000+ 1 3.17382- 7 4.85194- 3 2.70000+ 1 3.60000+ 1 1.58683- 6 4.85290- 3 2.70000+ 1 4.10000+ 1 7.29978- 6 4.80862- 3 2.70000+ 1 4.30000+ 1 4.69719- 5 4.82676- 3 2.70000+ 1 4.40000+ 1 5.07813- 6 4.83628- 3 2.70000+ 1 4.70000+ 1 3.17382- 7 4.85672- 3 2.70000+ 1 5.80000+ 1 6.34762- 7 4.85507- 3 2.90000+ 1 2.90000+ 1 2.28191- 4 4.66274- 3 2.90000+ 1 3.00000+ 1 5.94120- 4 4.71873- 3 2.90000+ 1 3.20000+ 1 4.78912- 4 4.80977- 3 2.90000+ 1 3.30000+ 1 7.37574- 4 4.81810- 3 2.90000+ 1 3.50000+ 1 2.47553- 5 4.91321- 3 2.90000+ 1 3.60000+ 1 3.77689- 5 4.91417- 3 2.90000+ 1 4.10000+ 1 6.09364- 5 4.86989- 3 2.90000+ 1 4.30000+ 1 7.42655- 5 4.88803- 3 2.90000+ 1 4.40000+ 1 9.20381- 5 4.89755- 3 2.90000+ 1 4.60000+ 1 2.85645- 6 4.91738- 3 2.90000+ 1 4.70000+ 1 4.12591- 6 4.91799- 3 2.90000+ 1 5.80000+ 1 6.34755- 6 4.91634- 3 3.00000+ 1 3.00000+ 1 1.61856- 5 4.77472- 3 3.00000+ 1 3.20000+ 1 3.14206- 5 4.86576- 3 3.00000+ 1 3.30000+ 1 2.72924- 5 4.87409- 3 3.00000+ 1 3.50000+ 1 2.18973- 5 4.96920- 3 3.00000+ 1 3.60000+ 1 5.39539- 6 4.97016- 3 3.00000+ 1 4.10000+ 1 6.03003- 6 4.92588- 3 3.00000+ 1 4.30000+ 1 9.23553- 5 4.94402- 3 3.00000+ 1 4.40000+ 1 4.76057- 6 4.95354- 3 3.00000+ 1 4.60000+ 1 3.17379- 7 4.97337- 3 3.00000+ 1 5.80000+ 1 6.34755- 7 4.97233- 3 3.20000+ 1 3.20000+ 1 1.49172- 5 4.95680- 3 3.20000+ 1 3.30000+ 1 3.17387- 5 4.96513- 3 3.20000+ 1 3.50000+ 1 1.58686- 6 5.06024- 3 3.20000+ 1 3.60000+ 1 2.53903- 6 5.06120- 3 3.20000+ 1 4.10000+ 1 1.90434- 6 5.01692- 3 3.20000+ 1 4.30000+ 1 7.39505- 5 5.03506- 3 3.20000+ 1 4.40000+ 1 4.76070- 6 5.04458- 3 3.20000+ 1 4.60000+ 1 3.17387- 7 5.06441- 3 3.20000+ 1 4.70000+ 1 3.17387- 7 5.06502- 3 3.20000+ 1 5.80000+ 1 3.17387- 7 5.06337- 3 3.30000+ 1 3.30000+ 1 8.77813- 6 4.97346- 3 3.30000+ 1 3.50000+ 1 3.25118- 6 5.06857- 3 3.30000+ 1 3.60000+ 1 9.75351- 7 5.06953- 3 3.30000+ 1 4.10000+ 1 6.17708- 6 5.02525- 3 3.30000+ 1 4.30000+ 1 1.16716- 4 5.04339- 3 3.30000+ 1 4.40000+ 1 4.22653- 6 5.05291- 3 3.30000+ 1 4.60000+ 1 3.25118- 7 5.07274- 3 3.30000+ 1 5.80000+ 1 6.50235- 7 5.07170- 3 3.50000+ 1 3.60000+ 1 3.49121- 6 5.16464- 3 3.50000+ 1 4.30000+ 1 3.80855- 6 5.13850- 3 3.50000+ 1 4.40000+ 1 3.49121- 6 5.14802- 3 3.60000+ 1 4.10000+ 1 3.17385- 7 5.12132- 3 3.60000+ 1 4.30000+ 1 5.71284- 6 5.13946- 3 3.60000+ 1 4.40000+ 1 9.52152- 7 5.14898- 3 4.10000+ 1 4.10000+ 1 6.47998- 7 5.07704- 3 4.10000+ 1 4.30000+ 1 9.71996- 6 5.09518- 3 4.10000+ 1 4.40000+ 1 9.71996- 7 5.10470- 3 4.30000+ 1 4.30000+ 1 6.03018- 6 5.11332- 3 4.30000+ 1 4.40000+ 1 1.42824- 5 5.12284- 3 4.30000+ 1 4.60000+ 1 3.17387- 7 5.14267- 3 4.30000+ 1 4.70000+ 1 6.34771- 7 5.14328- 3 4.30000+ 1 5.80000+ 1 9.52156- 7 5.14163- 3 4.40000+ 1 4.40000+ 1 3.17389- 7 5.13236- 3 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.37390- 5 5.52800- 4 1.40000+ 1 3.12000- 4 7.34400- 4 1.60000+ 1 2.13570- 3 2.86970- 3 2.10000+ 1 1.00120- 3 3.51142- 3 2.20000+ 1 7.50721- 3 3.55446- 3 2.70000+ 1 5.28781- 4 3.96895- 3 3.20000+ 1 2.11810- 4 4.17725- 3 3.30000+ 1 1.62230- 3 4.18558- 3 4.10000+ 1 1.02540- 4 4.23737- 3 5.80000+ 1 1.26720- 5 4.28382- 3 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 1.63475- 2 1.50710- 4 1.30000+ 1 2.50000+ 1 2.39226- 2 1.62050- 4 1.30000+ 1 2.70000+ 1 3.52638- 3 2.32150- 4 1.30000+ 1 2.90000+ 1 3.38546- 3 2.93420- 4 1.30000+ 1 3.00000+ 1 9.88816- 3 3.49410- 4 1.30000+ 1 3.20000+ 1 1.90512- 3 4.40450- 4 1.30000+ 1 3.30000+ 1 2.12513- 3 4.48780- 4 1.30000+ 1 3.50000+ 1 1.61153- 4 5.43890- 4 1.30000+ 1 3.60000+ 1 2.66954- 4 5.44850- 4 1.30000+ 1 4.10000+ 1 6.70127- 4 5.00570- 4 1.30000+ 1 4.30000+ 1 5.49717- 4 5.18710- 4 1.30000+ 1 4.40000+ 1 1.43698- 3 5.28230- 4 1.30000+ 1 4.60000+ 1 1.15540- 5 5.48060- 4 1.30000+ 1 4.70000+ 1 1.15540- 5 5.48670- 4 1.30000+ 1 5.80000+ 1 6.66878- 5 5.47020- 4 1.40000+ 1 2.20000+ 1 6.54567- 2 0.00000+ 0 1.40000+ 1 2.40000+ 1 2.08905- 1 3.32310- 4 1.40000+ 1 2.50000+ 1 2.52066- 1 3.43650- 4 1.40000+ 1 2.70000+ 1 2.13784- 2 4.13750- 4 1.40000+ 1 2.90000+ 1 2.26474- 2 4.75020- 4 1.40000+ 1 3.00000+ 1 2.38850- 2 5.31010- 4 1.40000+ 1 3.20000+ 1 7.88063- 3 6.22050- 4 1.40000+ 1 3.30000+ 1 1.15436- 2 6.30380- 4 1.40000+ 1 3.50000+ 1 2.13653- 3 7.25490- 4 1.40000+ 1 3.60000+ 1 2.39839- 3 7.26450- 4 1.40000+ 1 4.10000+ 1 4.16890- 3 6.82170- 4 1.40000+ 1 4.30000+ 1 3.69219- 3 7.00310- 4 1.40000+ 1 4.40000+ 1 3.55005- 3 7.09830- 4 1.40000+ 1 4.60000+ 1 4.64186- 5 7.29660- 4 1.40000+ 1 4.70000+ 1 6.16215- 5 7.30270- 4 1.40000+ 1 5.80000+ 1 4.33584- 4 7.28620- 4 1.60000+ 1 1.60000+ 1 1.12014- 4 1.44980- 3 1.60000+ 1 1.80000+ 1 4.08643- 4 1.60550- 3 1.60000+ 1 1.90000+ 1 1.02188- 2 1.83920- 3 1.60000+ 1 2.10000+ 1 6.48561- 4 2.09152- 3 1.60000+ 1 2.20000+ 1 8.53586- 4 2.13456- 3 1.60000+ 1 2.40000+ 1 2.40262- 3 2.46761- 3 1.60000+ 1 2.50000+ 1 4.36681- 3 2.47895- 3 1.60000+ 1 2.70000+ 1 4.73637- 5 2.54905- 3 1.60000+ 1 2.90000+ 1 5.63519- 5 2.61032- 3 1.60000+ 1 3.00000+ 1 1.48633- 3 2.66631- 3 1.60000+ 1 3.20000+ 1 1.03716- 4 2.75735- 3 1.60000+ 1 3.30000+ 1 1.33100- 4 2.76568- 3 1.60000+ 1 3.50000+ 1 2.90394- 5 2.86079- 3 1.60000+ 1 3.60000+ 1 5.11669- 5 2.86175- 3 1.60000+ 1 4.10000+ 1 8.98879- 6 2.81747- 3 1.60000+ 1 4.30000+ 1 8.64312- 6 2.83561- 3 1.60000+ 1 4.40000+ 1 2.10894- 4 2.84513- 3 1.60000+ 1 4.60000+ 1 6.91433- 7 2.86496- 3 1.60000+ 1 4.70000+ 1 6.91433- 7 2.86557- 3 1.60000+ 1 5.80000+ 1 1.03716- 6 2.86392- 3 1.80000+ 1 1.90000+ 1 1.29733- 2 1.99490- 3 1.80000+ 1 2.10000+ 1 2.99043- 4 2.24722- 3 1.80000+ 1 2.20000+ 1 2.99252- 3 2.29026- 3 1.80000+ 1 2.40000+ 1 1.62107- 3 2.62331- 3 1.80000+ 1 2.50000+ 1 8.08890- 3 2.63465- 3 1.80000+ 1 2.70000+ 1 8.26262- 5 2.70475- 3 1.80000+ 1 2.90000+ 1 1.72846- 6 2.76602- 3 1.80000+ 1 3.00000+ 1 1.93954- 3 2.82201- 3 1.80000+ 1 3.20000+ 1 5.60053- 5 2.91305- 3 1.80000+ 1 3.30000+ 1 4.47361- 4 2.92138- 3 1.80000+ 1 3.50000+ 1 1.83228- 5 3.01649- 3 1.80000+ 1 3.60000+ 1 9.36897- 5 3.01745- 3 1.80000+ 1 4.10000+ 1 1.55579- 5 2.97317- 3 1.80000+ 1 4.30000+ 1 3.45724- 7 2.99131- 3 1.80000+ 1 4.40000+ 1 2.76577- 4 3.00083- 3 1.80000+ 1 4.60000+ 1 3.45724- 7 3.02066- 3 1.80000+ 1 4.70000+ 1 2.41995- 6 3.02127- 3 1.80000+ 1 5.80000+ 1 1.72846- 6 3.01962- 3 1.90000+ 1 1.90000+ 1 1.63193- 2 2.22860- 3 1.90000+ 1 2.10000+ 1 2.44067- 2 2.48092- 3 1.90000+ 1 2.20000+ 1 3.15677- 2 2.52396- 3 1.90000+ 1 2.40000+ 1 2.31937- 2 2.85701- 3 1.90000+ 1 2.50000+ 1 2.64515- 2 2.86835- 3 1.90000+ 1 2.70000+ 1 2.53925- 3 2.93845- 3 1.90000+ 1 2.90000+ 1 2.99306- 3 2.99972- 3 1.90000+ 1 3.00000+ 1 6.17269- 3 3.05571- 3 1.90000+ 1 3.20000+ 1 4.44201- 3 3.14675- 3 1.90000+ 1 3.30000+ 1 5.75190- 3 3.15508- 3 1.90000+ 1 3.50000+ 1 3.69573- 4 3.25019- 3 1.90000+ 1 3.60000+ 1 4.06557- 4 3.25115- 3 1.90000+ 1 4.10000+ 1 5.06118- 4 3.20687- 3 1.90000+ 1 4.30000+ 1 5.05086- 4 3.22501- 3 1.90000+ 1 4.40000+ 1 9.24777- 4 3.23453- 3 1.90000+ 1 4.60000+ 1 2.69655- 5 3.25436- 3 1.90000+ 1 4.70000+ 1 3.14588- 5 3.25497- 3 1.90000+ 1 5.80000+ 1 5.18560- 5 3.25332- 3 2.10000+ 1 2.10000+ 1 1.70790- 4 2.73324- 3 2.10000+ 1 2.20000+ 1 4.11669- 3 2.77628- 3 2.10000+ 1 2.40000+ 1 6.70371- 4 3.10933- 3 2.10000+ 1 2.50000+ 1 7.59090- 3 3.12067- 3 2.10000+ 1 2.70000+ 1 8.26282- 5 3.19077- 3 2.10000+ 1 2.90000+ 1 1.65949- 5 3.25204- 3 2.10000+ 1 3.00000+ 1 3.55667- 3 3.30803- 3 2.10000+ 1 3.20000+ 1 5.11681- 5 3.39907- 3 2.10000+ 1 3.30000+ 1 6.53073- 4 3.40740- 3 2.10000+ 1 3.50000+ 1 8.64331- 6 3.50251- 3 2.10000+ 1 3.60000+ 1 7.32948- 5 3.50347- 3 2.10000+ 1 4.10000+ 1 1.45199- 5 3.45919- 3 2.10000+ 1 4.30000+ 1 2.42001- 6 3.47733- 3 2.10000+ 1 4.40000+ 1 5.04077- 4 3.48685- 3 2.10000+ 1 4.60000+ 1 3.45732- 7 3.50668- 3 2.10000+ 1 4.70000+ 1 3.45732- 6 3.50729- 3 2.10000+ 1 5.80000+ 1 1.38287- 6 3.50564- 3 2.20000+ 1 2.20000+ 1 1.75675- 3 2.81932- 3 2.20000+ 1 2.40000+ 1 6.02776- 3 3.15237- 3 2.20000+ 1 2.50000+ 1 4.92890- 3 3.16371- 3 2.20000+ 1 2.70000+ 1 1.18239- 4 3.23381- 3 2.20000+ 1 2.90000+ 1 3.03547- 4 3.29508- 3 2.20000+ 1 3.00000+ 1 4.53661- 3 3.35107- 3 2.20000+ 1 3.20000+ 1 6.41331- 4 3.44211- 3 2.20000+ 1 3.30000+ 1 5.62503- 4 3.45044- 3 2.20000+ 1 3.50000+ 1 7.50232- 5 3.54555- 3 2.20000+ 1 3.60000+ 1 5.77367- 5 3.54651- 3 2.20000+ 1 4.10000+ 1 2.10899- 5 3.50223- 3 2.20000+ 1 4.30000+ 1 4.35617- 5 3.52037- 3 2.20000+ 1 4.40000+ 1 6.40987- 4 3.52989- 3 2.20000+ 1 4.60000+ 1 3.80299- 6 3.54972- 3 2.20000+ 1 4.70000+ 1 3.11150- 6 3.55033- 3 2.20000+ 1 5.80000+ 1 2.07434- 6 3.54868- 3 2.40000+ 1 2.40000+ 1 1.04028- 3 3.48542- 3 2.40000+ 1 2.50000+ 1 2.68841- 2 3.49676- 3 2.40000+ 1 2.70000+ 1 2.65525- 4 3.56686- 3 2.40000+ 1 2.90000+ 1 3.01482- 4 3.62813- 3 2.40000+ 1 3.00000+ 1 3.21275- 3 3.68412- 3 2.40000+ 1 3.20000+ 1 1.41398- 4 3.77516- 3 2.40000+ 1 3.30000+ 1 1.02646- 3 3.78349- 3 2.40000+ 1 3.50000+ 1 2.90397- 5 3.87860- 3 2.40000+ 1 3.60000+ 1 3.33972- 4 3.87956- 3 2.40000+ 1 4.10000+ 1 4.59809- 5 3.83528- 3 2.40000+ 1 4.30000+ 1 4.87476- 5 3.85342- 3 2.40000+ 1 4.40000+ 1 4.52206- 4 3.86294- 3 2.40000+ 1 4.60000+ 1 1.03717- 6 3.88277- 3 2.40000+ 1 4.70000+ 1 5.53144- 6 3.88338- 3 2.40000+ 1 5.80000+ 1 4.49442- 6 3.88173- 3 2.50000+ 1 2.50000+ 1 1.06926- 2 3.50810- 3 2.50000+ 1 2.70000+ 1 4.57378- 4 3.57820- 3 2.50000+ 1 2.90000+ 1 1.47760- 3 3.63947- 3 2.50000+ 1 3.00000+ 1 3.83302- 3 3.69546- 3 2.50000+ 1 3.20000+ 1 1.36250- 3 3.78650- 3 2.50000+ 1 3.30000+ 1 9.16852- 4 3.79483- 3 2.50000+ 1 3.50000+ 1 3.37428- 4 3.88994- 3 2.50000+ 1 3.60000+ 1 2.69656- 4 3.89090- 3 2.50000+ 1 4.10000+ 1 7.70937- 5 3.84662- 3 2.50000+ 1 4.30000+ 1 2.39228- 4 3.86476- 3 2.50000+ 1 4.40000+ 1 5.46572- 4 3.87428- 3 2.50000+ 1 4.60000+ 1 8.29717- 6 3.89411- 3 2.50000+ 1 4.70000+ 1 5.18563- 6 3.89472- 3 2.50000+ 1 5.80000+ 1 7.60570- 6 3.89307- 3 2.70000+ 1 2.70000+ 1 5.53140- 6 3.64830- 3 2.70000+ 1 2.90000+ 1 1.24460- 5 3.70957- 3 2.70000+ 1 3.00000+ 1 3.70972- 4 3.76556- 3 2.70000+ 1 3.20000+ 1 1.45196- 5 3.85660- 3 2.70000+ 1 3.30000+ 1 1.93611- 5 3.86493- 3 2.70000+ 1 3.50000+ 1 3.11144- 6 3.96004- 3 2.70000+ 1 3.60000+ 1 5.18573- 6 3.96100- 3 2.70000+ 1 4.10000+ 1 2.07430- 6 3.91672- 3 2.70000+ 1 4.30000+ 1 2.07430- 6 3.93486- 3 2.70000+ 1 4.40000+ 1 5.25490- 5 3.94438- 3 2.70000+ 1 5.80000+ 1 3.45726- 7 3.96317- 3 2.90000+ 1 3.00000+ 1 4.50127- 4 3.82683- 3 2.90000+ 1 3.20000+ 1 2.76579- 6 3.91787- 3 2.90000+ 1 3.30000+ 1 4.80556- 5 3.92620- 3 2.90000+ 1 3.50000+ 1 3.80291- 6 4.02131- 3 2.90000+ 1 3.60000+ 1 1.90146- 5 4.02227- 3 2.90000+ 1 4.10000+ 1 2.41996- 6 3.97799- 3 2.90000+ 1 4.40000+ 1 6.43035- 5 4.00565- 3 2.90000+ 1 4.70000+ 1 3.45726- 7 4.02609- 3 2.90000+ 1 5.80000+ 1 3.45726- 7 4.02444- 3 3.00000+ 1 3.00000+ 1 5.52457- 4 3.88282- 3 3.00000+ 1 3.20000+ 1 6.50627- 4 3.97386- 3 3.00000+ 1 3.30000+ 1 8.29717- 4 3.98219- 3 3.00000+ 1 3.50000+ 1 5.11662- 5 4.07730- 3 3.00000+ 1 3.60000+ 1 5.84260- 5 4.07826- 3 3.00000+ 1 4.10000+ 1 7.39836- 5 4.03398- 3 3.00000+ 1 4.30000+ 1 7.60570- 5 4.05212- 3 3.00000+ 1 4.40000+ 1 1.63866- 4 4.06164- 3 3.00000+ 1 4.60000+ 1 3.80284- 6 4.08147- 3 3.00000+ 1 4.70000+ 1 4.49431- 6 4.08208- 3 3.00000+ 1 5.80000+ 1 7.60570- 6 4.08043- 3 3.20000+ 1 3.20000+ 1 3.80290- 6 4.06490- 3 3.20000+ 1 3.30000+ 1 1.10284- 4 4.07323- 3 3.20000+ 1 3.50000+ 1 1.72847- 6 4.16834- 3 3.20000+ 1 3.60000+ 1 1.41740- 5 4.16930- 3 3.20000+ 1 4.10000+ 1 2.41996- 6 4.12502- 3 3.20000+ 1 4.30000+ 1 3.45725- 7 4.14316- 3 3.20000+ 1 4.40000+ 1 9.23081- 5 4.15268- 3 3.20000+ 1 4.70000+ 1 6.91434- 7 4.17312- 3 3.20000+ 1 5.80000+ 1 3.45725- 7 4.17147- 3 3.30000+ 1 3.30000+ 1 4.77095- 5 4.08156- 3 3.30000+ 1 3.50000+ 1 1.34827- 5 4.17667- 3 3.30000+ 1 3.60000+ 1 1.10629- 5 4.17763- 3 3.30000+ 1 4.10000+ 1 3.45719- 6 4.13335- 3 3.30000+ 1 4.30000+ 1 6.91423- 6 4.15149- 3 3.30000+ 1 4.40000+ 1 1.17195- 4 4.16101- 3 3.30000+ 1 4.60000+ 1 6.91423- 7 4.18084- 3 3.30000+ 1 4.70000+ 1 6.91423- 7 4.18145- 3 3.30000+ 1 5.80000+ 1 3.45719- 7 4.17980- 3 3.50000+ 1 3.60000+ 1 4.49430- 6 4.27274- 3 3.50000+ 1 4.10000+ 1 6.91421- 7 4.22846- 3 3.50000+ 1 4.30000+ 1 6.91421- 7 4.24660- 3 3.50000+ 1 4.40000+ 1 7.25988- 6 4.25612- 3 3.60000+ 1 3.60000+ 1 6.91417- 7 4.27370- 3 3.60000+ 1 4.10000+ 1 1.03713- 6 4.22942- 3 3.60000+ 1 4.30000+ 1 3.11135- 6 4.24756- 3 3.60000+ 1 4.40000+ 1 8.29711- 6 4.25708- 3 4.10000+ 1 4.10000+ 1 3.45724- 7 4.18514- 3 4.10000+ 1 4.30000+ 1 3.45724- 7 4.20328- 3 4.10000+ 1 4.40000+ 1 1.03716- 5 4.21280- 3 4.30000+ 1 4.40000+ 1 1.07170- 5 4.23094- 3 4.40000+ 1 4.40000+ 1 1.21000- 5 4.24046- 3 4.40000+ 1 4.60000+ 1 6.91424- 7 4.26029- 3 4.40000+ 1 4.70000+ 1 6.91424- 7 4.26090- 3 4.40000+ 1 5.80000+ 1 1.03715- 6 4.25925- 3 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.34521- 3 2.47260- 3 1.90000+ 1 2.08131- 4 2.70630- 3 2.40000+ 1 5.15891- 2 3.33471- 3 2.90000+ 1 5.54742- 4 3.47742- 3 3.00000+ 1 4.88721- 5 3.53341- 3 3.50000+ 1 9.35183- 4 3.72789- 3 4.30000+ 1 9.48803- 5 3.70271- 3 4.40000+ 1 7.90862- 6 3.71223- 3 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.20000+ 1 5.03588- 2 6.92500- 5 1.40000+ 1 3.30000+ 1 7.22637- 3 7.75800- 5 1.40000+ 1 3.50000+ 1 8.24202- 3 1.72690- 4 1.40000+ 1 3.60000+ 1 8.89288- 4 1.73650- 4 1.40000+ 1 4.10000+ 1 1.00127- 3 1.29370- 4 1.40000+ 1 4.30000+ 1 5.02179- 4 1.47510- 4 1.40000+ 1 4.40000+ 1 1.03264- 3 1.57030- 4 1.40000+ 1 4.60000+ 1 2.94132- 4 1.76860- 4 1.40000+ 1 4.70000+ 1 3.88618- 5 1.77470- 4 1.40000+ 1 5.80000+ 1 1.00593- 4 1.75820- 4 1.60000+ 1 1.60000+ 1 6.85839- 6 8.97000- 4 1.60000+ 1 1.80000+ 1 7.87952- 4 1.05270- 3 1.60000+ 1 1.90000+ 1 7.35356- 4 1.28640- 3 1.60000+ 1 2.10000+ 1 2.85537- 2 1.53872- 3 1.60000+ 1 2.20000+ 1 3.35671- 3 1.58176- 3 1.60000+ 1 2.40000+ 1 1.60806- 2 1.91481- 3 1.60000+ 1 2.50000+ 1 3.73025- 3 1.92615- 3 1.60000+ 1 2.70000+ 1 1.52416- 5 1.99625- 3 1.60000+ 1 2.90000+ 1 1.55454- 4 2.05752- 3 1.60000+ 1 3.00000+ 1 1.11258- 4 2.11351- 3 1.60000+ 1 3.20000+ 1 3.55500- 3 2.20455- 3 1.60000+ 1 3.30000+ 1 4.47327- 4 2.21288- 3 1.60000+ 1 3.50000+ 1 1.88985- 4 2.30799- 3 1.60000+ 1 3.60000+ 1 3.65777- 5 2.30895- 3 1.60000+ 1 4.10000+ 1 3.81009- 6 2.26467- 3 1.60000+ 1 4.30000+ 1 2.51470- 5 2.28281- 3 1.60000+ 1 4.40000+ 1 1.60022- 5 2.29233- 3 1.60000+ 1 4.60000+ 1 2.05746- 5 2.31216- 3 1.60000+ 1 4.70000+ 1 2.28603- 6 2.31277- 3 1.80000+ 1 1.80000+ 1 3.82538- 4 1.20840- 3 1.80000+ 1 1.90000+ 1 3.35751- 3 1.44210- 3 1.80000+ 1 2.10000+ 1 2.58871- 2 1.69442- 3 1.80000+ 1 2.20000+ 1 1.50357- 3 1.73746- 3 1.80000+ 1 2.40000+ 1 1.18216- 2 2.07051- 3 1.80000+ 1 2.50000+ 1 6.40714- 3 2.08185- 3 1.80000+ 1 2.70000+ 1 1.08963- 4 2.15195- 3 1.80000+ 1 2.90000+ 1 1.51648- 4 2.21322- 3 1.80000+ 1 3.00000+ 1 5.67706- 4 2.26921- 3 1.80000+ 1 3.20000+ 1 3.18922- 3 2.36025- 3 1.80000+ 1 3.30000+ 1 2.27842- 4 2.36858- 3 1.80000+ 1 3.50000+ 1 1.34877- 4 2.46369- 3 1.80000+ 1 3.60000+ 1 7.08678- 5 2.46465- 3 1.80000+ 1 4.10000+ 1 1.98125- 5 2.42037- 3 1.80000+ 1 4.30000+ 1 2.43848- 5 2.43851- 3 1.80000+ 1 4.40000+ 1 8.30608- 5 2.44803- 3 1.80000+ 1 4.60000+ 1 1.82884- 5 2.46786- 3 1.80000+ 1 4.70000+ 1 1.52412- 6 2.46847- 3 1.80000+ 1 5.80000+ 1 1.52412- 6 2.46682- 3 1.90000+ 1 1.90000+ 1 1.16966- 3 1.67580- 3 1.90000+ 1 2.10000+ 1 4.96718- 2 1.92812- 3 1.90000+ 1 2.20000+ 1 1.89290- 3 1.97116- 3 1.90000+ 1 2.40000+ 1 2.09099- 3 2.30421- 3 1.90000+ 1 2.50000+ 1 1.67942- 3 2.31555- 3 1.90000+ 1 2.70000+ 1 1.37162- 4 2.38565- 3 1.90000+ 1 2.90000+ 1 4.79331- 4 2.44692- 3 1.90000+ 1 3.00000+ 1 3.77190- 4 2.50291- 3 1.90000+ 1 3.20000+ 1 6.19294- 3 2.59395- 3 1.90000+ 1 3.30000+ 1 2.66707- 4 2.60228- 3 1.90000+ 1 3.50000+ 1 1.90512- 5 2.69739- 3 1.90000+ 1 3.60000+ 1 1.37162- 5 2.69835- 3 1.90000+ 1 4.10000+ 1 2.59082- 5 2.65407- 3 1.90000+ 1 4.30000+ 1 7.39159- 5 2.67221- 3 1.90000+ 1 4.40000+ 1 5.48668- 5 2.68173- 3 1.90000+ 1 4.60000+ 1 3.58156- 5 2.70156- 3 1.90000+ 1 4.70000+ 1 1.52413- 6 2.70217- 3 1.90000+ 1 5.80000+ 1 2.28600- 6 2.70052- 3 2.10000+ 1 2.10000+ 1 4.59968- 2 2.18044- 3 2.10000+ 1 2.20000+ 1 8.99769- 2 2.22348- 3 2.10000+ 1 2.40000+ 1 5.45436- 2 2.55653- 3 2.10000+ 1 2.50000+ 1 6.44457- 2 2.56787- 3 2.10000+ 1 2.70000+ 1 6.43136- 3 2.63797- 3 2.10000+ 1 2.90000+ 1 6.02815- 3 2.69924- 3 2.10000+ 1 3.00000+ 1 1.11691- 2 2.75523- 3 2.10000+ 1 3.20000+ 1 1.42292- 2 2.84627- 3 2.10000+ 1 3.30000+ 1 1.62001- 2 2.85460- 3 2.10000+ 1 3.50000+ 1 8.71740- 4 2.94971- 3 2.10000+ 1 3.60000+ 1 1.00511- 3 2.95067- 3 2.10000+ 1 4.10000+ 1 1.26416- 3 2.90639- 3 2.10000+ 1 4.30000+ 1 1.01960- 3 2.92453- 3 2.10000+ 1 4.40000+ 1 1.71682- 3 2.93405- 3 2.10000+ 1 4.60000+ 1 8.53451- 5 2.95388- 3 2.10000+ 1 4.70000+ 1 8.83913- 5 2.95449- 3 2.10000+ 1 5.80000+ 1 1.28778- 4 2.95284- 3 2.20000+ 1 2.20000+ 1 1.41889- 3 2.26652- 3 2.20000+ 1 2.40000+ 1 6.43013- 2 2.59957- 3 2.20000+ 1 2.50000+ 1 3.03605- 3 2.61091- 3 2.20000+ 1 2.70000+ 1 3.74141- 4 2.68101- 3 2.20000+ 1 2.90000+ 1 1.98127- 4 2.74228- 3 2.20000+ 1 3.00000+ 1 3.39112- 4 2.79827- 3 2.20000+ 1 3.20000+ 1 1.12567- 2 2.88931- 3 2.20000+ 1 3.30000+ 1 4.14554- 4 2.89764- 3 2.20000+ 1 3.50000+ 1 9.47979- 4 2.99275- 3 2.20000+ 1 3.60000+ 1 3.96264- 5 2.99371- 3 2.20000+ 1 4.10000+ 1 6.47720- 5 2.94943- 3 2.20000+ 1 4.30000+ 1 3.04796- 5 2.96757- 3 2.20000+ 1 4.40000+ 1 4.95318- 5 2.97709- 3 2.20000+ 1 4.60000+ 1 6.47720- 5 2.99692- 3 2.20000+ 1 4.70000+ 1 2.28600- 6 2.99753- 3 2.20000+ 1 5.80000+ 1 6.85828- 6 2.99588- 3 2.40000+ 1 2.40000+ 1 6.35309- 2 2.93262- 3 2.40000+ 1 2.50000+ 1 1.82049- 1 2.94396- 3 2.40000+ 1 2.70000+ 1 3.86259- 3 3.01406- 3 2.40000+ 1 2.90000+ 1 2.17405- 3 3.07533- 3 2.40000+ 1 3.00000+ 1 4.84646- 4 3.13132- 3 2.40000+ 1 3.20000+ 1 7.49135- 3 3.22236- 3 2.40000+ 1 3.30000+ 1 1.09885- 2 3.23069- 3 2.40000+ 1 3.50000+ 1 1.79766- 3 3.32580- 3 2.40000+ 1 3.60000+ 1 2.67766- 3 3.32676- 3 2.40000+ 1 4.10000+ 1 7.65081- 4 3.28248- 3 2.40000+ 1 4.30000+ 1 3.58904- 4 3.30062- 3 2.40000+ 1 4.40000+ 1 7.46762- 5 3.31014- 3 2.40000+ 1 4.60000+ 1 4.41971- 5 3.32997- 3 2.40000+ 1 4.70000+ 1 6.01978- 5 3.33058- 3 2.40000+ 1 5.80000+ 1 8.15342- 5 3.32893- 3 2.50000+ 1 2.50000+ 1 3.97137- 3 2.95530- 3 2.50000+ 1 2.70000+ 1 6.59753- 4 3.02540- 3 2.50000+ 1 2.90000+ 1 6.33261- 4 3.08667- 3 2.50000+ 1 3.00000+ 1 3.58766- 4 3.14266- 3 2.50000+ 1 3.20000+ 1 7.73724- 3 3.23370- 3 2.50000+ 1 3.30000+ 1 5.08883- 4 3.24203- 3 2.50000+ 1 3.50000+ 1 2.42315- 3 3.33714- 3 2.50000+ 1 3.60000+ 1 1.07552- 4 3.33810- 3 2.50000+ 1 4.10000+ 1 1.20394- 4 3.29382- 3 2.50000+ 1 4.30000+ 1 9.23005- 5 3.31196- 3 2.50000+ 1 4.40000+ 1 5.37758- 5 3.32148- 3 2.50000+ 1 4.60000+ 1 4.41448- 5 3.34131- 3 2.50000+ 1 4.70000+ 1 2.40778- 6 3.34192- 3 2.50000+ 1 5.80000+ 1 1.20394- 5 3.34027- 3 2.70000+ 1 2.70000+ 1 1.52413- 6 3.09550- 3 2.70000+ 1 2.90000+ 1 2.43851- 5 3.15677- 3 2.70000+ 1 3.00000+ 1 2.13367- 5 3.21276- 3 2.70000+ 1 3.20000+ 1 8.06985- 4 3.30380- 3 2.70000+ 1 3.30000+ 1 5.56293- 5 3.31213- 3 2.70000+ 1 3.50000+ 1 4.87702- 5 3.40724- 3 2.70000+ 1 3.60000+ 1 7.62035- 6 3.40820- 3 2.70000+ 1 4.10000+ 1 7.62035- 7 3.36392- 3 2.70000+ 1 4.30000+ 1 3.81003- 6 3.38206- 3 2.70000+ 1 4.40000+ 1 3.04796- 6 3.39158- 3 2.70000+ 1 4.60000+ 1 4.57209- 6 3.41141- 3 2.90000+ 1 2.90000+ 1 1.60020- 5 3.21804- 3 2.90000+ 1 3.00000+ 1 8.76321- 5 3.27403- 3 2.90000+ 1 3.20000+ 1 7.46774- 4 3.36507- 3 2.90000+ 1 3.30000+ 1 3.50530- 5 3.37340- 3 2.90000+ 1 3.50000+ 1 2.59082- 5 3.46851- 3 2.90000+ 1 3.60000+ 1 6.85829- 6 3.46947- 3 2.90000+ 1 4.10000+ 1 4.57209- 6 3.42519- 3 2.90000+ 1 4.30000+ 1 5.33407- 6 3.44333- 3 2.90000+ 1 4.40000+ 1 1.29546- 5 3.45285- 3 2.90000+ 1 4.60000+ 1 4.57209- 6 3.47268- 3 2.90000+ 1 5.80000+ 1 7.62035- 7 3.47164- 3 3.00000+ 1 3.00000+ 1 3.12423- 5 3.33002- 3 3.00000+ 1 3.20000+ 1 1.40211- 3 3.42106- 3 3.00000+ 1 3.30000+ 1 5.10561- 5 3.42939- 3 3.00000+ 1 3.50000+ 1 5.33408- 6 3.52450- 3 3.00000+ 1 3.60000+ 1 3.04797- 6 3.52546- 3 3.00000+ 1 4.10000+ 1 3.81004- 6 3.48118- 3 3.00000+ 1 4.30000+ 1 1.37163- 5 3.49932- 3 3.00000+ 1 4.40000+ 1 9.14441- 6 3.50884- 3 3.00000+ 1 4.60000+ 1 8.38245- 6 3.52867- 3 3.00000+ 1 5.80000+ 1 7.62037- 7 3.52763- 3 3.20000+ 1 3.20000+ 1 1.05549- 3 3.51210- 3 3.20000+ 1 3.30000+ 1 2.03998- 3 3.52043- 3 3.20000+ 1 3.50000+ 1 1.19638- 4 3.61554- 3 3.20000+ 1 3.60000+ 1 1.15826- 4 3.61650- 3 3.20000+ 1 4.10000+ 1 1.58502- 4 3.57222- 3 3.20000+ 1 4.30000+ 1 1.26499- 4 3.59036- 3 3.20000+ 1 4.40000+ 1 2.15654- 4 3.59988- 3 3.20000+ 1 4.60000+ 1 1.21922- 5 3.61971- 3 3.20000+ 1 4.70000+ 1 1.14306- 5 3.62032- 3 3.20000+ 1 5.80000+ 1 1.60021- 5 3.61867- 3 3.30000+ 1 3.30000+ 1 3.19844- 5 3.52876- 3 3.30000+ 1 3.50000+ 1 1.76320- 4 3.62387- 3 3.30000+ 1 3.60000+ 1 6.56102- 6 3.62483- 3 3.30000+ 1 4.10000+ 1 1.06614- 5 3.58055- 3 3.30000+ 1 4.30000+ 1 5.74065- 6 3.59869- 3 3.30000+ 1 4.40000+ 1 8.20121- 6 3.60821- 3 3.30000+ 1 4.60000+ 1 1.23018- 5 3.62804- 3 3.30000+ 1 5.80000+ 1 8.20121- 7 3.62700- 3 3.50000+ 1 3.50000+ 1 3.04792- 6 3.71898- 3 3.50000+ 1 3.60000+ 1 3.42920- 5 3.71994- 3 3.50000+ 1 4.10000+ 1 9.90612- 6 3.67566- 3 3.50000+ 1 4.30000+ 1 4.57203- 6 3.69380- 3 3.50000+ 1 4.40000+ 1 7.62025- 7 3.70332- 3 3.50000+ 1 4.60000+ 1 7.62025- 7 3.72315- 3 3.50000+ 1 4.70000+ 1 7.62025- 7 3.72376- 3 3.50000+ 1 5.80000+ 1 7.62025- 7 3.72211- 3 3.60000+ 1 4.10000+ 1 1.52412- 6 3.67662- 3 3.60000+ 1 4.30000+ 1 7.62029- 7 3.69476- 3 3.60000+ 1 4.40000+ 1 7.62029- 7 3.70428- 3 3.60000+ 1 4.60000+ 1 7.62029- 7 3.72411- 3 4.10000+ 1 4.30000+ 1 8.83936- 7 3.65048- 3 4.10000+ 1 4.40000+ 1 8.83936- 7 3.66000- 3 4.10000+ 1 4.60000+ 1 8.83936- 7 3.67983- 3 4.30000+ 1 4.30000+ 1 7.18502- 7 3.66862- 3 4.30000+ 1 4.40000+ 1 2.15540- 6 3.67814- 3 4.30000+ 1 4.60000+ 1 7.18502- 7 3.69797- 3 4.40000+ 1 4.40000+ 1 7.37948- 7 3.68766- 3 4.40000+ 1 4.60000+ 1 1.47596- 6 3.70749- 3 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.58319- 3 2.52470- 3 2.40000+ 1 2.47619- 3 3.15311- 3 2.50000+ 1 4.84798- 2 3.16445- 3 3.00000+ 1 3.69489- 4 3.35181- 3 3.50000+ 1 4.40678- 5 3.54629- 3 3.60000+ 1 8.51117- 4 3.54725- 3 4.40000+ 1 5.97478- 5 3.53063- 3 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.31117- 5 7.15400- 4 1.60000+ 1 1.80000+ 1 2.59920- 4 8.71100- 4 1.60000+ 1 1.90000+ 1 1.56262- 3 1.10480- 3 1.60000+ 1 2.10000+ 1 3.13208- 3 1.35712- 3 1.60000+ 1 2.20000+ 1 3.16075- 2 1.40016- 3 1.60000+ 1 2.40000+ 1 4.10546- 3 1.73321- 3 1.60000+ 1 2.50000+ 1 1.68657- 2 1.74455- 3 1.60000+ 1 2.70000+ 1 1.38827- 5 1.81465- 3 1.60000+ 1 2.90000+ 1 1.92820- 5 1.87592- 3 1.60000+ 1 3.00000+ 1 2.42177- 4 1.93191- 3 1.60000+ 1 3.20000+ 1 3.83336- 4 2.02295- 3 1.60000+ 1 3.30000+ 1 3.91950- 3 2.03128- 3 1.60000+ 1 3.50000+ 1 3.85629- 5 2.12639- 3 1.60000+ 1 3.60000+ 1 1.77389- 4 2.12735- 3 1.60000+ 1 4.10000+ 1 3.08504- 6 2.08307- 3 1.60000+ 1 4.30000+ 1 3.08504- 6 2.10121- 3 1.60000+ 1 4.40000+ 1 3.47077- 5 2.11073- 3 1.60000+ 1 4.60000+ 1 2.31390- 6 2.13056- 3 1.60000+ 1 4.70000+ 1 2.00530- 5 2.13117- 3 1.80000+ 1 1.80000+ 1 8.48420- 6 1.02680- 3 1.80000+ 1 1.90000+ 1 4.74481- 3 1.26050- 3 1.80000+ 1 2.10000+ 1 2.31390- 4 1.51282- 3 1.80000+ 1 2.20000+ 1 3.25731- 2 1.55586- 3 1.80000+ 1 2.40000+ 1 2.31539- 3 1.88891- 3 1.80000+ 1 2.50000+ 1 1.01723- 2 1.90025- 3 1.80000+ 1 2.70000+ 1 3.31655- 5 1.97035- 3 1.80000+ 1 2.90000+ 1 2.31390- 6 2.03162- 3 1.80000+ 1 3.00000+ 1 7.37328- 4 2.08761- 3 1.80000+ 1 3.20000+ 1 6.17029- 6 2.17865- 3 1.80000+ 1 3.30000+ 1 4.02835- 3 2.18698- 3 1.80000+ 1 3.50000+ 1 2.46811- 5 2.28209- 3 1.80000+ 1 3.60000+ 1 1.04125- 4 2.28305- 3 1.80000+ 1 4.10000+ 1 6.17029- 6 2.23877- 3 1.80000+ 1 4.30000+ 1 7.71286- 7 2.25691- 3 1.80000+ 1 4.40000+ 1 1.05663- 4 2.26643- 3 1.80000+ 1 4.70000+ 1 2.08239- 5 2.28687- 3 1.80000+ 1 5.80000+ 1 7.71286- 7 2.28522- 3 1.90000+ 1 1.90000+ 1 2.91468- 3 1.49420- 3 1.90000+ 1 2.10000+ 1 2.93482- 3 1.74652- 3 1.90000+ 1 2.20000+ 1 4.71090- 2 1.78956- 3 1.90000+ 1 2.40000+ 1 1.95985- 3 2.12261- 3 1.90000+ 1 2.50000+ 1 3.14827- 3 2.13395- 3 1.90000+ 1 2.70000+ 1 3.06204- 4 2.20405- 3 1.90000+ 1 2.90000+ 1 6.23194- 4 2.26532- 3 1.90000+ 1 3.00000+ 1 9.29398- 4 2.32131- 3 1.90000+ 1 3.20000+ 1 4.55044- 4 2.41235- 3 1.90000+ 1 3.30000+ 1 5.79224- 3 2.42068- 3 1.90000+ 1 3.50000+ 1 1.77389- 5 2.51579- 3 1.90000+ 1 3.60000+ 1 2.85375- 5 2.51675- 3 1.90000+ 1 4.10000+ 1 5.86171- 5 2.47247- 3 1.90000+ 1 4.30000+ 1 9.56359- 5 2.49061- 3 1.90000+ 1 4.40000+ 1 1.34977- 4 2.50013- 3 1.90000+ 1 4.60000+ 1 3.08506- 6 2.51996- 3 1.90000+ 1 4.70000+ 1 3.00796- 5 2.52057- 3 1.90000+ 1 5.80000+ 1 5.39887- 6 2.51892- 3 2.10000+ 1 2.10000+ 1 6.45537- 4 1.99884- 3 2.10000+ 1 2.20000+ 1 6.70424- 2 2.04188- 3 2.10000+ 1 2.40000+ 1 2.78660- 3 2.37493- 3 2.10000+ 1 2.50000+ 1 3.85790- 2 2.38627- 3 2.10000+ 1 2.70000+ 1 3.23909- 4 2.45637- 3 2.10000+ 1 2.90000+ 1 6.40149- 5 2.51764- 3 2.10000+ 1 3.00000+ 1 4.73549- 4 2.57363- 3 2.10000+ 1 3.20000+ 1 1.81245- 4 2.66467- 3 2.10000+ 1 3.30000+ 1 8.35813- 3 2.67300- 3 2.10000+ 1 3.50000+ 1 4.01072- 5 2.76811- 3 2.10000+ 1 3.60000+ 1 5.51466- 4 2.76907- 3 2.10000+ 1 4.10000+ 1 5.55326- 5 2.72479- 3 2.10000+ 1 4.30000+ 1 1.00263- 5 2.74293- 3 2.10000+ 1 4.40000+ 1 6.86440- 5 2.75245- 3 2.10000+ 1 4.60000+ 1 7.71272- 7 2.77228- 3 2.10000+ 1 4.70000+ 1 4.31913- 5 2.77289- 3 2.10000+ 1 5.80000+ 1 5.39875- 6 2.77124- 3 2.20000+ 1 2.20000+ 1 7.39929- 2 2.08492- 3 2.20000+ 1 2.40000+ 1 6.05896- 2 2.41797- 3 2.20000+ 1 2.50000+ 1 9.76887- 2 2.42931- 3 2.20000+ 1 2.70000+ 1 6.75706- 3 2.49941- 3 2.20000+ 1 2.90000+ 1 7.21829- 3 2.56068- 3 2.20000+ 1 3.00000+ 1 1.06883- 2 2.61667- 3 2.20000+ 1 3.20000+ 1 1.20221- 2 2.70771- 3 2.20000+ 1 3.30000+ 1 2.25398- 2 2.71604- 3 2.20000+ 1 3.50000+ 1 9.64106- 4 2.81115- 3 2.20000+ 1 3.60000+ 1 1.46458- 3 2.81211- 3 2.20000+ 1 4.10000+ 1 1.32040- 3 2.76783- 3 2.20000+ 1 4.30000+ 1 1.20856- 3 2.78597- 3 2.20000+ 1 4.40000+ 1 1.64519- 3 2.79549- 3 2.20000+ 1 4.60000+ 1 7.32705- 5 2.81532- 3 2.20000+ 1 4.70000+ 1 1.21094- 4 2.81593- 3 2.20000+ 1 5.80000+ 1 1.34977- 4 2.81428- 3 2.40000+ 1 2.40000+ 1 5.33244- 3 2.75102- 3 2.40000+ 1 2.50000+ 1 1.69459- 1 2.76236- 3 2.40000+ 1 2.70000+ 1 7.64336- 4 2.83246- 3 2.40000+ 1 2.90000+ 1 4.71254- 4 2.89373- 3 2.40000+ 1 3.00000+ 1 3.75624- 4 2.94972- 3 2.40000+ 1 3.20000+ 1 4.81256- 4 3.04076- 3 2.40000+ 1 3.30000+ 1 7.12190- 3 3.04909- 3 2.40000+ 1 3.50000+ 1 1.50397- 4 3.14420- 3 2.40000+ 1 3.60000+ 1 2.08090- 3 3.14516- 3 2.40000+ 1 4.10000+ 1 1.43460- 4 3.10088- 3 2.40000+ 1 4.30000+ 1 7.78992- 5 3.11902- 3 2.40000+ 1 4.40000+ 1 5.63033- 5 3.12854- 3 2.40000+ 1 4.60000+ 1 3.08503- 6 3.14837- 3 2.40000+ 1 4.70000+ 1 3.70216- 5 3.14898- 3 2.40000+ 1 5.80000+ 1 1.46537- 5 3.14733- 3 2.50000+ 1 2.50000+ 1 1.15640- 1 2.77370- 3 2.50000+ 1 2.70000+ 1 3.99524- 3 2.84380- 3 2.50000+ 1 2.90000+ 1 2.29463- 3 2.90507- 3 2.50000+ 1 3.00000+ 1 6.80292- 4 2.96106- 3 2.50000+ 1 3.20000+ 1 6.42195- 3 3.05210- 3 2.50000+ 1 3.30000+ 1 1.38365- 2 3.06043- 3 2.50000+ 1 3.50000+ 1 2.51215- 3 3.15554- 3 2.50000+ 1 3.60000+ 1 3.10975- 3 3.15650- 3 2.50000+ 1 4.10000+ 1 7.91356- 4 3.11222- 3 2.50000+ 1 4.30000+ 1 3.87198- 4 3.13036- 3 2.50000+ 1 4.40000+ 1 1.04902- 4 3.13988- 3 2.50000+ 1 4.60000+ 1 3.85641- 5 3.15971- 3 2.50000+ 1 4.70000+ 1 7.40438- 5 3.16032- 3 2.50000+ 1 5.80000+ 1 8.25285- 5 3.15867- 3 2.70000+ 1 2.70000+ 1 7.71251- 7 2.91390- 3 2.70000+ 1 2.90000+ 1 7.71251- 7 2.97517- 3 2.70000+ 1 3.00000+ 1 4.93600- 5 3.03116- 3 2.70000+ 1 3.20000+ 1 4.55021- 5 3.12220- 3 2.70000+ 1 3.30000+ 1 8.44521- 4 3.13053- 3 2.70000+ 1 3.50000+ 1 9.25491- 6 3.22564- 3 2.70000+ 1 3.60000+ 1 4.70470- 5 3.22660- 3 2.70000+ 1 4.40000+ 1 6.94130- 6 3.20998- 3 2.70000+ 1 4.70000+ 1 4.62731- 6 3.23042- 3 2.90000+ 1 3.00000+ 1 1.04127- 4 3.09243- 3 2.90000+ 1 3.20000+ 1 3.85639- 6 3.18347- 3 2.90000+ 1 3.30000+ 1 9.07050- 4 3.19180- 3 2.90000+ 1 3.50000+ 1 5.39898- 6 3.28691- 3 2.90000+ 1 3.60000+ 1 2.46818- 5 3.28787- 3 2.90000+ 1 4.40000+ 1 1.46541- 5 3.27125- 3 2.90000+ 1 4.70000+ 1 4.62764- 6 3.29169- 3 3.00000+ 1 3.00000+ 1 7.48118- 5 3.14842- 3 3.00000+ 1 3.20000+ 1 7.86699- 5 3.23946- 3 3.00000+ 1 3.30000+ 1 1.32038- 3 3.24779- 3 3.00000+ 1 3.50000+ 1 3.85625- 6 3.34290- 3 3.00000+ 1 3.60000+ 1 6.94155- 6 3.34386- 3 3.00000+ 1 4.10000+ 1 9.25525- 6 3.29958- 3 3.00000+ 1 4.30000+ 1 1.61966- 5 3.31772- 3 3.00000+ 1 4.40000+ 1 2.15948- 5 3.32724- 3 3.00000+ 1 4.60000+ 1 7.71279- 7 3.34707- 3 3.00000+ 1 4.70000+ 1 6.94155- 6 3.34768- 3 3.00000+ 1 5.80000+ 1 7.71279- 7 3.34603- 3 3.20000+ 1 3.20000+ 1 1.15695- 5 3.33050- 3 3.20000+ 1 3.30000+ 1 1.50932- 3 3.33883- 3 3.20000+ 1 3.50000+ 1 6.94156- 6 3.43394- 3 3.20000+ 1 3.60000+ 1 9.33235- 5 3.43490- 3 3.20000+ 1 4.10000+ 1 7.71279- 6 3.39062- 3 3.20000+ 1 4.30000+ 1 7.71279- 7 3.40876- 3 3.20000+ 1 4.40000+ 1 1.15695- 5 3.41828- 3 3.20000+ 1 4.70000+ 1 7.71279- 6 3.43872- 3 3.20000+ 1 5.80000+ 1 7.71279- 7 3.43707- 3 3.30000+ 1 3.30000+ 1 1.65359- 3 3.34716- 3 3.30000+ 1 3.50000+ 1 1.14145- 4 3.44227- 3 3.30000+ 1 3.60000+ 1 2.06698- 4 3.44323- 3 3.30000+ 1 4.10000+ 1 1.65051- 4 3.39895- 3 3.30000+ 1 4.30000+ 1 1.51933- 4 3.41709- 3 3.30000+ 1 4.40000+ 1 2.03612- 4 3.42661- 3 3.30000+ 1 4.60000+ 1 9.25519- 6 3.44644- 3 3.30000+ 1 4.70000+ 1 1.77386- 5 3.44705- 3 3.30000+ 1 5.80000+ 1 1.69676- 5 3.44540- 3 3.50000+ 1 3.60000+ 1 3.16214- 5 3.53834- 3 3.50000+ 1 4.10000+ 1 1.54258- 6 3.49406- 3 3.50000+ 1 4.30000+ 1 7.71286- 7 3.51220- 3 3.50000+ 1 4.40000+ 1 7.71286- 7 3.52172- 3 3.50000+ 1 4.70000+ 1 7.71286- 7 3.54216- 3 3.60000+ 1 3.60000+ 1 1.00266- 5 3.53930- 3 3.60000+ 1 4.10000+ 1 9.25548- 6 3.49502- 3 3.60000+ 1 4.30000+ 1 4.62759- 6 3.51316- 3 3.60000+ 1 4.40000+ 1 7.71298- 7 3.52268- 3 3.60000+ 1 4.60000+ 1 7.71298- 7 3.54251- 3 3.60000+ 1 4.70000+ 1 7.71298- 7 3.54312- 3 3.60000+ 1 5.80000+ 1 7.71298- 7 3.54147- 3 4.10000+ 1 4.40000+ 1 1.73533- 6 3.47840- 3 4.10000+ 1 4.70000+ 1 8.67662- 7 3.49884- 3 4.30000+ 1 4.40000+ 1 2.48093- 6 3.49654- 3 4.30000+ 1 4.70000+ 1 8.26959- 7 3.51698- 3 4.40000+ 1 4.40000+ 1 1.68539- 6 3.50606- 3 4.40000+ 1 4.70000+ 1 8.42695- 7 3.52650- 3 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.44847- 5 1.55700- 4 1.90000+ 1 4.78408- 4 3.89400- 4 2.90000+ 1 3.28613- 4 1.16052- 3 3.00000+ 1 7.38328- 5 1.21651- 3 4.30000+ 1 6.87262- 5 1.38581- 3 4.40000+ 1 1.83936- 5 1.39533- 3 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.20000+ 1 6.46621- 2 4.33500- 5 1.80000+ 1 3.30000+ 1 1.00479- 1 5.16800- 5 1.80000+ 1 3.50000+ 1 5.59560- 3 1.46790- 4 1.80000+ 1 3.60000+ 1 5.97063- 3 1.47750- 4 1.80000+ 1 4.10000+ 1 9.25053- 3 1.03470- 4 1.80000+ 1 4.30000+ 1 7.47130- 3 1.21610- 4 1.80000+ 1 4.40000+ 1 1.02777- 2 1.31130- 4 1.80000+ 1 4.60000+ 1 3.31031- 4 1.50960- 4 1.80000+ 1 4.70000+ 1 4.63291- 4 1.51570- 4 1.80000+ 1 5.80000+ 1 9.18432- 4 1.49920- 4 1.90000+ 1 2.40000+ 1 5.65595- 3 0.00000+ 0 1.90000+ 1 2.50000+ 1 1.78573- 2 0.00000+ 0 1.90000+ 1 2.70000+ 1 4.10092- 2 6.87500- 5 1.90000+ 1 2.90000+ 1 4.96410- 2 1.30020- 4 1.90000+ 1 3.00000+ 1 4.40110- 2 1.86010- 4 1.90000+ 1 3.20000+ 1 3.91824- 2 2.77050- 4 1.90000+ 1 3.30000+ 1 4.87672- 2 2.85380- 4 1.90000+ 1 3.50000+ 1 3.96617- 4 3.80490- 4 1.90000+ 1 3.60000+ 1 6.81551- 4 3.81450- 4 1.90000+ 1 4.10000+ 1 7.97351- 3 3.37170- 4 1.90000+ 1 4.30000+ 1 7.93174- 3 3.55310- 4 1.90000+ 1 4.40000+ 1 6.79800- 3 3.64830- 4 1.90000+ 1 4.60000+ 1 2.22332- 4 3.84660- 4 1.90000+ 1 4.70000+ 1 2.56377- 4 3.85270- 4 1.90000+ 1 5.80000+ 1 8.15168- 4 3.83620- 4 2.10000+ 1 2.40000+ 1 3.75188- 3 2.39630- 4 2.10000+ 1 2.50000+ 1 4.63722- 3 2.50970- 4 2.10000+ 1 2.70000+ 1 1.70125- 2 3.21070- 4 2.10000+ 1 2.90000+ 1 6.04291- 3 3.82340- 4 2.10000+ 1 3.00000+ 1 5.76993- 3 4.38330- 4 2.10000+ 1 3.20000+ 1 2.01007- 3 5.29370- 4 2.10000+ 1 3.30000+ 1 3.08263- 3 5.37700- 4 2.10000+ 1 3.50000+ 1 3.26068- 4 6.32810- 4 2.10000+ 1 3.60000+ 1 3.14674- 4 6.33770- 4 2.10000+ 1 4.10000+ 1 2.42269- 3 5.89490- 4 2.10000+ 1 4.30000+ 1 9.50422- 4 6.07630- 4 2.10000+ 1 4.40000+ 1 7.28470- 4 6.17150- 4 2.10000+ 1 4.60000+ 1 1.12542- 5 6.36980- 4 2.10000+ 1 4.70000+ 1 1.58710- 5 6.37590- 4 2.10000+ 1 5.80000+ 1 2.36319- 4 6.35940- 4 2.20000+ 1 2.40000+ 1 5.40080- 3 2.82670- 4 2.20000+ 1 2.50000+ 1 6.56408- 3 2.94010- 4 2.20000+ 1 2.70000+ 1 2.37495- 2 3.64110- 4 2.20000+ 1 2.90000+ 1 9.34385- 3 4.25380- 4 2.20000+ 1 3.00000+ 1 6.92196- 3 4.81370- 4 2.20000+ 1 3.20000+ 1 2.42758- 3 5.72410- 4 2.20000+ 1 3.30000+ 1 3.37941- 3 5.80740- 4 2.20000+ 1 3.50000+ 1 3.45830- 4 6.75850- 4 2.20000+ 1 3.60000+ 1 4.79716- 4 6.76810- 4 2.20000+ 1 4.10000+ 1 3.35764- 3 6.32530- 4 2.20000+ 1 4.30000+ 1 1.30628- 3 6.50670- 4 2.20000+ 1 4.40000+ 1 9.75537- 4 6.60190- 4 2.20000+ 1 4.60000+ 1 1.39948- 5 6.80020- 4 2.20000+ 1 4.70000+ 1 1.77459- 5 6.80630- 4 2.20000+ 1 5.80000+ 1 3.26921- 4 6.78980- 4 2.40000+ 1 2.40000+ 1 9.02102- 3 6.15720- 4 2.40000+ 1 2.50000+ 1 1.70063- 2 6.27060- 4 2.40000+ 1 2.70000+ 1 2.09379- 2 6.97160- 4 2.40000+ 1 2.90000+ 1 2.93542- 3 7.58430- 4 2.40000+ 1 3.00000+ 1 1.27497- 2 8.14420- 4 2.40000+ 1 3.20000+ 1 1.21697- 3 9.05460- 4 2.40000+ 1 3.30000+ 1 7.78099- 4 9.13790- 4 2.40000+ 1 3.50000+ 1 1.41246- 4 1.00890- 3 2.40000+ 1 3.60000+ 1 1.29853- 4 1.00986- 3 2.40000+ 1 4.10000+ 1 2.51416- 3 9.65580- 4 2.40000+ 1 4.30000+ 1 3.68340- 4 9.83720- 4 2.40000+ 1 4.40000+ 1 1.49769- 3 9.93240- 4 2.40000+ 1 4.60000+ 1 6.92519- 6 1.01307- 3 2.40000+ 1 4.70000+ 1 3.89552- 6 1.01368- 3 2.40000+ 1 5.80000+ 1 2.38196- 4 1.01203- 3 2.50000+ 1 2.50000+ 1 1.48746- 2 6.38400- 4 2.50000+ 1 2.70000+ 1 2.70674- 2 7.08500- 4 2.50000+ 1 2.90000+ 1 1.38718- 3 7.69770- 4 2.50000+ 1 3.00000+ 1 1.34692- 2 8.25760- 4 2.50000+ 1 3.20000+ 1 7.04507- 4 9.16800- 4 2.50000+ 1 3.30000+ 1 1.73433- 3 9.25130- 4 2.50000+ 1 3.50000+ 1 1.36481- 4 1.02024- 3 2.50000+ 1 3.60000+ 1 2.26803- 4 1.02120- 3 2.50000+ 1 4.10000+ 1 3.23723- 3 9.76920- 4 2.50000+ 1 4.30000+ 1 1.69087- 4 9.95060- 4 2.50000+ 1 4.40000+ 1 1.51483- 3 1.00458- 3 2.50000+ 1 4.60000+ 1 4.03971- 6 1.02441- 3 2.50000+ 1 4.70000+ 1 8.80107- 6 1.02502- 3 2.50000+ 1 5.80000+ 1 3.06291- 4 1.02337- 3 2.70000+ 1 2.70000+ 1 1.69771- 2 7.78600- 4 2.70000+ 1 2.90000+ 1 2.52840- 2 8.39870- 4 2.70000+ 1 3.00000+ 1 3.96946- 2 8.95860- 4 2.70000+ 1 3.20000+ 1 3.94872- 2 9.86900- 4 2.70000+ 1 3.30000+ 1 5.45747- 2 9.95230- 4 2.70000+ 1 3.50000+ 1 4.74102- 3 1.09034- 3 2.70000+ 1 3.60000+ 1 5.87643- 3 1.09130- 3 2.70000+ 1 4.10000+ 1 5.49314- 3 1.04702- 3 2.70000+ 1 4.30000+ 1 4.26883- 3 1.06516- 3 2.70000+ 1 4.40000+ 1 6.07252- 3 1.07468- 3 2.70000+ 1 4.60000+ 1 2.41594- 4 1.09451- 3 2.70000+ 1 4.70000+ 1 2.99721- 4 1.09512- 3 2.70000+ 1 5.80000+ 1 5.48582- 4 1.09347- 3 2.90000+ 1 2.90000+ 1 1.95824- 3 9.01140- 4 2.90000+ 1 3.00000+ 1 8.89543- 3 9.57130- 4 2.90000+ 1 3.20000+ 1 3.56219- 3 1.04817- 3 2.90000+ 1 3.30000+ 1 2.49229- 3 1.05650- 3 2.90000+ 1 3.50000+ 1 2.70670- 4 1.15161- 3 2.90000+ 1 3.60000+ 1 1.67117- 4 1.15257- 3 2.90000+ 1 4.10000+ 1 3.08078- 3 1.10829- 3 2.90000+ 1 4.30000+ 1 5.34057- 4 1.12643- 3 2.90000+ 1 4.40000+ 1 1.01901- 3 1.13595- 3 2.90000+ 1 4.60000+ 1 1.99823- 5 1.15578- 3 2.90000+ 1 4.70000+ 1 1.27154- 5 1.15639- 3 2.90000+ 1 5.80000+ 1 2.92458- 4 1.15474- 3 3.00000+ 1 3.00000+ 1 5.04452- 3 1.01312- 3 3.00000+ 1 3.20000+ 1 2.33422- 3 1.10416- 3 3.00000+ 1 3.30000+ 1 5.79301- 3 1.11249- 3 3.00000+ 1 3.50000+ 1 1.26245- 3 1.20760- 3 3.00000+ 1 3.60000+ 1 1.53141- 3 1.20856- 3 3.00000+ 1 4.10000+ 1 5.04095- 3 1.16428- 3 3.00000+ 1 4.30000+ 1 1.33155- 3 1.18242- 3 3.00000+ 1 4.40000+ 1 1.34421- 3 1.19194- 3 3.00000+ 1 4.60000+ 1 1.45321- 5 1.21177- 3 3.00000+ 1 4.70000+ 1 3.08814- 5 1.21238- 3 3.00000+ 1 5.80000+ 1 4.83199- 4 1.21073- 3 3.20000+ 1 3.20000+ 1 1.05032- 3 1.19520- 3 3.20000+ 1 3.30000+ 1 3.24670- 3 1.20353- 3 3.20000+ 1 3.50000+ 1 1.18416- 4 1.29864- 3 3.20000+ 1 3.60000+ 1 8.40339- 5 1.29960- 3 3.20000+ 1 4.10000+ 1 5.12785- 3 1.25532- 3 3.20000+ 1 4.30000+ 1 4.88911- 4 1.27346- 3 3.20000+ 1 4.40000+ 1 2.31087- 4 1.28298- 3 3.20000+ 1 4.60000+ 1 1.14587- 5 1.30281- 3 3.20000+ 1 4.70000+ 1 1.52782- 5 1.30342- 3 3.20000+ 1 5.80000+ 1 4.88911- 4 1.30177- 3 3.30000+ 1 3.30000+ 1 2.08504- 3 1.21186- 3 3.30000+ 1 3.50000+ 1 9.35789- 5 1.30697- 3 3.30000+ 1 3.60000+ 1 1.70318- 4 1.30793- 3 3.30000+ 1 4.10000+ 1 6.93596- 3 1.26365- 3 3.30000+ 1 4.30000+ 1 2.90100- 4 1.28179- 3 3.30000+ 1 4.40000+ 1 7.01856- 4 1.29131- 3 3.30000+ 1 4.60000+ 1 1.68452- 5 1.31114- 3 3.30000+ 1 4.70000+ 1 2.05883- 5 1.31175- 3 3.30000+ 1 5.80000+ 1 6.60681- 4 1.31010- 3 3.50000+ 1 3.50000+ 1 1.81654- 6 1.40208- 3 3.50000+ 1 3.60000+ 1 7.26580- 6 1.40304- 3 3.50000+ 1 4.10000+ 1 5.61288- 4 1.35876- 3 3.50000+ 1 4.30000+ 1 3.26962- 5 1.37690- 3 3.50000+ 1 4.40000+ 1 1.54404- 4 1.38642- 3 3.50000+ 1 5.80000+ 1 5.26781- 5 1.40521- 3 3.60000+ 1 3.60000+ 1 3.63292- 6 1.40400- 3 3.60000+ 1 4.10000+ 1 6.93867- 4 1.35972- 3 3.60000+ 1 4.30000+ 1 1.81655- 5 1.37786- 3 3.60000+ 1 4.40000+ 1 1.85288- 4 1.38738- 3 3.60000+ 1 5.80000+ 1 6.53942- 5 1.40617- 3 4.10000+ 1 4.10000+ 1 4.34762- 4 1.31544- 3 4.10000+ 1 4.30000+ 1 5.54572- 4 1.33358- 3 4.10000+ 1 4.40000+ 1 8.05775- 4 1.34310- 3 4.10000+ 1 4.60000+ 1 3.09170- 5 1.36293- 3 4.10000+ 1 4.70000+ 1 3.86452- 5 1.36354- 3 4.10000+ 1 5.80000+ 1 8.50232- 5 1.36189- 3 4.30000+ 1 4.30000+ 1 3.98438- 5 1.35172- 3 4.30000+ 1 4.40000+ 1 1.63360- 4 1.36124- 3 4.30000+ 1 4.60000+ 1 1.99229- 6 1.38107- 3 4.30000+ 1 4.70000+ 1 1.99229- 6 1.38168- 3 4.30000+ 1 5.80000+ 1 5.37910- 5 1.38003- 3 4.40000+ 1 4.40000+ 1 9.82151- 5 1.37076- 3 4.40000+ 1 4.60000+ 1 2.08974- 6 1.39059- 3 4.40000+ 1 4.70000+ 1 4.17928- 6 1.39120- 3 4.40000+ 1 5.80000+ 1 8.35854- 5 1.38955- 3 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.04427- 3 4.86020- 4 2.70000+ 1 2.47595- 4 9.43550- 4 3.20000+ 1 6.93990- 5 1.15185- 3 4.10000+ 1 4.94165- 5 1.21197- 3 5.80000+ 1 4.94735- 6 1.25842- 3 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.00000+ 1 1.93538- 2 3.03100- 5 1.90000+ 1 3.20000+ 1 1.11668- 2 1.21350- 4 1.90000+ 1 3.30000+ 1 1.66207- 2 1.29680- 4 1.90000+ 1 3.50000+ 1 6.49046- 4 2.24790- 4 1.90000+ 1 3.60000+ 1 9.67921- 4 2.25750- 4 1.90000+ 1 4.10000+ 1 2.22215- 3 1.81470- 4 1.90000+ 1 4.30000+ 1 2.46737- 3 1.99610- 4 1.90000+ 1 4.40000+ 1 2.26348- 3 2.09130- 4 1.90000+ 1 4.60000+ 1 4.83527- 5 2.28960- 4 1.90000+ 1 4.70000+ 1 6.82715- 5 2.29570- 4 1.90000+ 1 5.80000+ 1 2.17307- 4 2.27920- 4 2.10000+ 1 2.40000+ 1 9.29878- 2 8.39300- 5 2.10000+ 1 2.50000+ 1 2.27147- 1 9.52700- 5 2.10000+ 1 2.70000+ 1 3.49182- 2 1.65370- 4 2.10000+ 1 2.90000+ 1 2.84618- 2 2.26640- 4 2.10000+ 1 3.00000+ 1 3.48520- 2 2.82630- 4 2.10000+ 1 3.20000+ 1 1.94995- 2 3.73670- 4 2.10000+ 1 3.30000+ 1 2.89224- 2 3.82000- 4 2.10000+ 1 3.50000+ 1 5.74965- 4 4.77110- 4 2.10000+ 1 3.60000+ 1 1.08517- 3 4.78070- 4 2.10000+ 1 4.10000+ 1 6.84430- 3 4.33790- 4 2.10000+ 1 4.30000+ 1 4.49180- 3 4.51930- 4 2.10000+ 1 4.40000+ 1 5.28849- 3 4.61450- 4 2.10000+ 1 4.60000+ 1 1.16875- 4 4.81280- 4 2.10000+ 1 4.70000+ 1 1.52969- 4 4.81890- 4 2.10000+ 1 5.80000+ 1 6.92373- 4 4.80240- 4 2.20000+ 1 2.40000+ 1 4.21704- 2 1.26970- 4 2.20000+ 1 2.50000+ 1 1.07417- 2 1.38310- 4 2.20000+ 1 2.70000+ 1 5.46892- 3 2.08410- 4 2.20000+ 1 2.90000+ 1 2.35533- 2 2.69680- 4 2.20000+ 1 3.00000+ 1 4.73459- 3 3.25670- 4 2.20000+ 1 3.20000+ 1 2.19217- 3 4.16710- 4 2.20000+ 1 3.30000+ 1 2.47080- 3 4.25040- 4 2.20000+ 1 3.50000+ 1 2.05052- 4 5.20150- 4 2.20000+ 1 3.60000+ 1 1.15105- 4 5.21110- 4 2.20000+ 1 4.10000+ 1 8.16120- 4 4.76830- 4 2.20000+ 1 4.30000+ 1 2.59882- 3 4.94970- 4 2.20000+ 1 4.40000+ 1 5.52824- 4 5.04490- 4 2.20000+ 1 4.60000+ 1 1.14836- 5 5.24320- 4 2.20000+ 1 4.70000+ 1 1.27138- 5 5.24930- 4 2.20000+ 1 5.80000+ 1 8.02492- 5 5.23280- 4 2.40000+ 1 2.40000+ 1 2.10502- 3 4.60020- 4 2.40000+ 1 2.50000+ 1 1.13031- 2 4.71360- 4 2.40000+ 1 2.70000+ 1 5.11521- 3 5.41460- 4 2.40000+ 1 2.90000+ 1 2.01405- 2 6.02730- 4 2.40000+ 1 3.00000+ 1 2.62913- 3 6.58720- 4 2.40000+ 1 3.20000+ 1 6.07222- 3 7.49760- 4 2.40000+ 1 3.30000+ 1 4.61184- 3 7.58090- 4 2.40000+ 1 3.50000+ 1 2.00126- 4 8.53200- 4 2.40000+ 1 3.60000+ 1 1.26996- 4 8.54160- 4 2.40000+ 1 4.10000+ 1 1.01616- 3 8.09880- 4 2.40000+ 1 4.30000+ 1 2.26249- 3 8.28020- 4 2.40000+ 1 4.40000+ 1 3.51318- 4 8.37540- 4 2.40000+ 1 4.60000+ 1 2.96643- 5 8.57370- 4 2.40000+ 1 4.70000+ 1 2.47423- 5 8.57980- 4 2.40000+ 1 5.80000+ 1 1.03618- 4 8.56330- 4 2.50000+ 1 2.50000+ 1 5.70452- 4 4.82700- 4 2.50000+ 1 2.70000+ 1 2.82318- 3 5.52800- 4 2.50000+ 1 2.90000+ 1 3.08916- 2 6.14070- 4 2.50000+ 1 3.00000+ 1 1.71289- 3 6.70060- 4 2.50000+ 1 3.20000+ 1 1.26712- 2 7.61100- 4 2.50000+ 1 3.30000+ 1 1.21828- 3 7.69430- 4 2.50000+ 1 3.50000+ 1 4.72981- 5 8.64540- 4 2.50000+ 1 3.60000+ 1 2.57000- 5 8.65500- 4 2.50000+ 1 4.10000+ 1 4.15571- 4 8.21220- 4 2.50000+ 1 4.30000+ 1 3.33342- 3 8.39360- 4 2.50000+ 1 4.40000+ 1 2.16804- 4 8.48880- 4 2.50000+ 1 4.60000+ 1 6.12402- 5 8.68710- 4 2.50000+ 1 4.70000+ 1 6.15167- 6 8.69320- 4 2.50000+ 1 5.80000+ 1 4.04641- 5 8.67670- 4 2.70000+ 1 2.70000+ 1 1.71261- 3 6.22900- 4 2.70000+ 1 2.90000+ 1 2.23754- 2 6.84170- 4 2.70000+ 1 3.00000+ 1 4.28904- 3 7.40160- 4 2.70000+ 1 3.20000+ 1 5.60685- 3 8.31200- 4 2.70000+ 1 3.30000+ 1 3.94435- 3 8.39530- 4 2.70000+ 1 3.50000+ 1 1.27538- 4 9.34640- 4 2.70000+ 1 3.60000+ 1 2.62664- 4 9.35600- 4 2.70000+ 1 4.10000+ 1 5.14675- 4 8.91320- 4 2.70000+ 1 4.30000+ 1 2.37750- 3 9.09460- 4 2.70000+ 1 4.40000+ 1 5.89078- 4 9.18980- 4 2.70000+ 1 4.60000+ 1 2.73280- 5 9.38810- 4 2.70000+ 1 4.70000+ 1 1.97363- 5 9.39420- 4 2.70000+ 1 5.80000+ 1 5.01014- 5 9.37770- 4 2.90000+ 1 2.90000+ 1 1.61833- 2 7.45440- 4 2.90000+ 1 3.00000+ 1 4.23792- 2 8.01430- 4 2.90000+ 1 3.20000+ 1 3.39683- 2 8.92470- 4 2.90000+ 1 3.30000+ 1 5.66882- 2 9.00800- 4 2.90000+ 1 3.50000+ 1 4.48326- 3 9.95910- 4 2.90000+ 1 3.60000+ 1 6.06686- 3 9.96870- 4 2.90000+ 1 4.10000+ 1 4.78990- 3 9.52590- 4 2.90000+ 1 4.30000+ 1 4.52199- 3 9.70730- 4 2.90000+ 1 4.40000+ 1 6.51991- 3 9.80250- 4 2.90000+ 1 4.60000+ 1 2.09794- 4 1.00008- 3 2.90000+ 1 4.70000+ 1 3.11482- 4 1.00069- 3 2.90000+ 1 5.80000+ 1 4.88994- 4 9.99040- 4 3.00000+ 1 3.00000+ 1 1.35887- 3 8.57420- 4 3.00000+ 1 3.20000+ 1 5.82348- 3 9.48460- 4 3.00000+ 1 3.30000+ 1 2.64361- 3 9.56790- 4 3.00000+ 1 3.50000+ 1 1.48405- 4 1.05190- 3 3.00000+ 1 3.60000+ 1 2.13348- 4 1.05286- 3 3.00000+ 1 4.10000+ 1 6.02915- 4 1.00858- 3 3.00000+ 1 4.30000+ 1 4.41217- 3 1.02672- 3 3.00000+ 1 4.40000+ 1 3.50934- 4 1.03624- 3 3.00000+ 1 4.60000+ 1 2.78272- 5 1.05607- 3 3.00000+ 1 4.70000+ 1 1.39137- 5 1.05668- 3 3.00000+ 1 5.80000+ 1 5.87461- 5 1.05503- 3 3.20000+ 1 3.20000+ 1 1.59704- 3 1.03950- 3 3.20000+ 1 3.30000+ 1 2.43354- 3 1.04783- 3 3.20000+ 1 3.50000+ 1 5.01488- 4 1.14294- 3 3.20000+ 1 3.60000+ 1 8.32084- 4 1.14390- 3 3.20000+ 1 4.10000+ 1 7.38434- 4 1.09962- 3 3.20000+ 1 4.30000+ 1 2.58681- 3 1.11776- 3 3.20000+ 1 4.40000+ 1 6.22731- 4 1.12728- 3 3.20000+ 1 4.60000+ 1 1.76348- 5 1.14711- 3 3.20000+ 1 4.70000+ 1 1.32259- 5 1.14772- 3 3.20000+ 1 5.80000+ 1 7.38434- 5 1.14607- 3 3.30000+ 1 3.30000+ 1 3.86332- 4 1.05616- 3 3.30000+ 1 3.50000+ 1 1.38348- 4 1.15127- 3 3.30000+ 1 3.60000+ 1 7.07098- 5 1.15223- 3 3.30000+ 1 4.10000+ 1 3.36133- 4 1.10795- 3 3.30000+ 1 4.30000+ 1 3.96692- 3 1.12609- 3 3.30000+ 1 4.40000+ 1 2.18286- 4 1.13561- 3 3.30000+ 1 4.60000+ 1 1.02481- 5 1.15544- 3 3.30000+ 1 4.70000+ 1 4.09910- 6 1.15605- 3 3.30000+ 1 5.80000+ 1 3.17684- 5 1.15440- 3 3.50000+ 1 3.50000+ 1 1.02482- 6 1.24638- 3 3.50000+ 1 3.60000+ 1 5.12388- 6 1.24734- 3 3.50000+ 1 4.10000+ 1 1.53721- 5 1.20306- 3 3.50000+ 1 4.30000+ 1 3.01291- 4 1.22120- 3 3.50000+ 1 4.40000+ 1 1.22976- 5 1.23072- 3 3.50000+ 1 4.60000+ 1 2.04959- 6 1.25055- 3 3.50000+ 1 4.70000+ 1 1.02482- 6 1.25116- 3 3.50000+ 1 5.80000+ 1 2.04959- 6 1.24951- 3 3.60000+ 1 3.60000+ 1 1.02483- 6 1.24830- 3 3.60000+ 1 4.10000+ 1 2.45961- 5 1.20402- 3 3.60000+ 1 4.30000+ 1 4.08900- 4 1.22216- 3 3.60000+ 1 4.40000+ 1 1.63972- 5 1.23168- 3 3.60000+ 1 4.60000+ 1 4.09917- 6 1.25151- 3 3.60000+ 1 5.80000+ 1 2.04961- 6 1.25047- 3 4.10000+ 1 4.10000+ 1 2.37750- 5 1.15974- 3 4.10000+ 1 4.30000+ 1 2.89867- 4 1.17788- 3 4.10000+ 1 4.40000+ 1 4.84651- 5 1.18740- 3 4.10000+ 1 4.60000+ 1 2.74322- 6 1.20723- 3 4.10000+ 1 4.70000+ 1 1.82880- 6 1.20784- 3 4.10000+ 1 5.80000+ 1 4.57193- 6 1.20619- 3 4.30000+ 1 4.30000+ 1 1.91228- 4 1.19602- 3 4.30000+ 1 4.40000+ 1 4.58714- 4 1.20554- 3 4.30000+ 1 4.60000+ 1 1.46296- 5 1.22537- 3 4.30000+ 1 4.70000+ 1 2.19438- 5 1.22598- 3 4.30000+ 1 5.80000+ 1 3.34385- 5 1.22433- 3 4.40000+ 1 4.40000+ 1 1.34919- 5 1.21506- 3 4.40000+ 1 4.60000+ 1 2.89104- 6 1.23489- 3 4.40000+ 1 4.70000+ 1 9.63695- 7 1.23550- 3 4.40000+ 1 5.80000+ 1 4.81829- 6 1.23385- 3 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.27894- 5 2.52320- 4 2.20000+ 1 1.92277- 4 2.95360- 4 2.70000+ 1 2.80941- 4 7.09850- 4 3.20000+ 1 3.02879- 5 9.18150- 4 3.30000+ 1 1.79050- 4 9.26480- 4 4.10000+ 1 5.46973- 5 9.78270- 4 5.80000+ 1 5.88617- 6 1.02472- 3 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 2.90000+ 1 1.58914- 2 0.00000+ 0 2.10000+ 1 3.00000+ 1 4.52132- 2 4.89300- 5 2.10000+ 1 3.20000+ 1 1.59083- 2 1.39970- 4 2.10000+ 1 3.30000+ 1 2.44313- 2 1.48300- 4 2.10000+ 1 3.50000+ 1 7.20005- 4 2.43410- 4 2.10000+ 1 3.60000+ 1 6.16930- 4 2.44370- 4 2.10000+ 1 4.10000+ 1 3.50794- 3 2.00090- 4 2.10000+ 1 4.30000+ 1 2.50928- 3 2.18230- 4 2.10000+ 1 4.40000+ 1 5.63409- 3 2.27750- 4 2.10000+ 1 4.60000+ 1 8.77690- 5 2.47580- 4 2.10000+ 1 4.70000+ 1 1.17624- 4 2.48190- 4 2.10000+ 1 5.80000+ 1 3.52854- 4 2.46540- 4 2.20000+ 1 2.90000+ 1 1.24958- 1 3.59800- 5 2.20000+ 1 3.00000+ 1 1.39056- 1 9.19700- 5 2.20000+ 1 3.20000+ 1 1.21692- 1 1.83010- 4 2.20000+ 1 3.30000+ 1 1.46498- 1 1.91340- 4 2.20000+ 1 3.50000+ 1 2.42318- 3 2.86450- 4 2.20000+ 1 3.60000+ 1 3.22893- 3 2.87410- 4 2.20000+ 1 4.10000+ 1 2.27617- 2 2.43130- 4 2.20000+ 1 4.30000+ 1 2.01202- 2 2.61270- 4 2.20000+ 1 4.40000+ 1 1.96339- 2 2.70790- 4 2.20000+ 1 4.60000+ 1 6.68424- 4 2.90620- 4 2.20000+ 1 4.70000+ 1 7.46664- 4 2.91230- 4 2.20000+ 1 5.80000+ 1 2.28630- 3 2.89580- 4 2.40000+ 1 2.40000+ 1 9.23129- 4 2.26320- 4 2.40000+ 1 2.50000+ 1 4.78976- 3 2.37660- 4 2.40000+ 1 2.70000+ 1 9.11780- 3 3.07760- 4 2.40000+ 1 2.90000+ 1 4.85348- 3 3.69030- 4 2.40000+ 1 3.00000+ 1 5.46161- 2 4.25020- 4 2.40000+ 1 3.20000+ 1 2.11038- 3 5.16060- 4 2.40000+ 1 3.30000+ 1 7.90886- 3 5.24390- 4 2.40000+ 1 3.50000+ 1 1.83824- 4 6.19500- 4 2.40000+ 1 3.60000+ 1 1.71761- 4 6.20460- 4 2.40000+ 1 4.10000+ 1 1.12856- 3 5.76180- 4 2.40000+ 1 4.30000+ 1 6.86171- 4 5.94320- 4 2.40000+ 1 4.40000+ 1 5.62789- 3 6.03840- 4 2.40000+ 1 4.60000+ 1 1.14892- 5 6.23670- 4 2.40000+ 1 4.70000+ 1 3.36046- 5 6.24280- 4 2.40000+ 1 5.80000+ 1 1.07707- 4 6.22630- 4 2.50000+ 1 2.50000+ 1 3.88529- 3 2.49000- 4 2.50000+ 1 2.70000+ 1 2.10281- 2 3.19100- 4 2.50000+ 1 2.90000+ 1 1.71283- 2 3.80370- 4 2.50000+ 1 3.00000+ 1 6.58675- 2 4.36360- 4 2.50000+ 1 3.20000+ 1 1.61343- 3 5.27400- 4 2.50000+ 1 3.30000+ 1 1.11559- 2 5.35730- 4 2.50000+ 1 3.50000+ 1 6.82119- 4 6.30840- 4 2.50000+ 1 3.60000+ 1 8.82060- 4 6.31800- 4 2.50000+ 1 4.10000+ 1 3.16536- 3 5.87520- 4 2.50000+ 1 4.30000+ 1 2.53428- 3 6.05660- 4 2.50000+ 1 4.40000+ 1 6.86727- 3 6.15180- 4 2.50000+ 1 4.60000+ 1 9.96770- 6 6.35010- 4 2.50000+ 1 4.70000+ 1 4.92725- 5 6.35620- 4 2.50000+ 1 5.80000+ 1 3.11869- 4 6.33970- 4 2.70000+ 1 2.70000+ 1 2.00822- 5 3.89200- 4 2.70000+ 1 2.90000+ 1 2.38120- 4 4.50470- 4 2.70000+ 1 3.00000+ 1 4.93881- 3 5.06460- 4 2.70000+ 1 3.20000+ 1 4.56162- 4 5.97500- 4 2.70000+ 1 3.30000+ 1 7.75754- 4 6.05830- 4 2.70000+ 1 3.50000+ 1 5.70912- 5 7.00940- 4 2.70000+ 1 3.60000+ 1 5.45092- 5 7.01900- 4 2.70000+ 1 4.10000+ 1 1.11884- 5 6.57620- 4 2.70000+ 1 4.30000+ 1 2.52464- 5 6.75760- 4 2.70000+ 1 4.40000+ 1 4.88579- 4 6.85280- 4 2.70000+ 1 4.60000+ 1 2.29509- 6 7.05110- 4 2.70000+ 1 4.70000+ 1 3.15591- 6 7.05720- 4 2.70000+ 1 5.80000+ 1 1.14760- 6 7.04070- 4 2.90000+ 1 3.00000+ 1 5.61561- 3 5.67730- 4 2.90000+ 1 3.20000+ 1 2.50739- 4 6.58770- 4 2.90000+ 1 3.30000+ 1 7.05470- 4 6.67100- 4 2.90000+ 1 3.50000+ 1 4.50419- 5 7.62210- 4 2.90000+ 1 3.60000+ 1 9.46737- 5 7.63170- 4 2.90000+ 1 4.10000+ 1 4.27466- 5 7.18890- 4 2.90000+ 1 4.30000+ 1 3.72957- 6 7.37030- 4 2.90000+ 1 4.40000+ 1 5.71213- 4 7.46550- 4 2.90000+ 1 4.60000+ 1 1.14760- 6 7.66380- 4 2.90000+ 1 4.70000+ 1 2.86895- 6 7.66990- 4 2.90000+ 1 5.80000+ 1 4.30332- 6 7.65340- 4 3.00000+ 1 3.00000+ 1 7.12017- 3 6.23720- 4 3.00000+ 1 3.20000+ 1 8.39045- 3 7.14760- 4 3.00000+ 1 3.30000+ 1 1.11924- 2 7.23090- 4 3.00000+ 1 3.50000+ 1 1.03192- 3 8.18200- 4 3.00000+ 1 3.60000+ 1 1.23131- 3 8.19160- 4 3.00000+ 1 4.10000+ 1 9.99813- 4 7.74880- 4 3.00000+ 1 4.30000+ 1 9.23214- 4 7.93020- 4 3.00000+ 1 4.40000+ 1 1.82260- 3 8.02540- 4 3.00000+ 1 4.60000+ 1 5.10673- 5 8.22370- 4 3.00000+ 1 4.70000+ 1 6.11078- 5 8.22980- 4 3.00000+ 1 5.80000+ 1 1.02130- 4 8.21330- 4 3.20000+ 1 3.20000+ 1 1.69750- 4 8.05800- 4 3.20000+ 1 3.30000+ 1 1.01646- 3 8.14130- 4 3.20000+ 1 3.50000+ 1 2.38350- 5 9.09240- 4 3.20000+ 1 3.60000+ 1 4.18561- 5 9.10200- 4 3.20000+ 1 4.10000+ 1 6.51103- 5 8.65920- 4 3.20000+ 1 4.30000+ 1 4.12752- 5 8.84060- 4 3.20000+ 1 4.40000+ 1 8.74333- 4 8.93580- 4 3.20000+ 1 4.60000+ 1 1.74401- 6 9.13410- 4 3.20000+ 1 4.70000+ 1 4.65073- 6 9.14020- 4 3.20000+ 1 5.80000+ 1 6.39475- 6 9.12370- 4 3.30000+ 1 3.30000+ 1 9.38089- 4 8.22460- 4 3.30000+ 1 3.50000+ 1 7.60006- 5 9.17570- 4 3.30000+ 1 3.60000+ 1 1.04322- 4 9.18530- 4 3.30000+ 1 4.10000+ 1 1.45838- 4 8.74250- 4 3.30000+ 1 4.30000+ 1 1.14984- 4 8.92390- 4 3.30000+ 1 4.40000+ 1 1.14121- 3 9.01910- 4 3.30000+ 1 4.60000+ 1 5.32842- 6 9.21740- 4 3.30000+ 1 4.70000+ 1 8.97418- 6 9.22350- 4 3.30000+ 1 5.80000+ 1 1.48640- 5 9.20700- 4 3.50000+ 1 3.50000+ 1 2.86883- 7 1.01268- 3 3.50000+ 1 3.60000+ 1 2.29500- 6 1.01364- 3 3.50000+ 1 4.10000+ 1 7.17197- 6 9.69360- 4 3.50000+ 1 4.30000+ 1 2.86883- 6 9.87500- 4 3.50000+ 1 4.40000+ 1 1.02697- 4 9.97020- 4 3.50000+ 1 4.70000+ 1 2.86883- 7 1.01746- 3 3.50000+ 1 5.80000+ 1 5.73756- 7 1.01581- 3 3.60000+ 1 3.60000+ 1 8.60683- 7 1.01460- 3 3.60000+ 1 4.10000+ 1 7.17234- 6 9.70320- 4 3.60000+ 1 4.30000+ 1 6.02473- 6 9.88460- 4 3.60000+ 1 4.40000+ 1 1.21929- 4 9.97980- 4 3.60000+ 1 4.60000+ 1 2.86898- 7 1.01781- 3 3.60000+ 1 4.70000+ 1 5.73786- 7 1.01842- 3 3.60000+ 1 5.80000+ 1 5.73786- 7 1.01677- 3 4.10000+ 1 4.30000+ 1 3.53135- 6 9.44180- 4 4.10000+ 1 4.40000+ 1 1.01526- 4 9.53700- 4 4.10000+ 1 4.60000+ 1 2.94282- 7 9.73530- 4 4.10000+ 1 4.70000+ 1 5.88554- 7 9.74140- 4 4.30000+ 1 4.40000+ 1 9.98455- 5 9.71840- 4 4.30000+ 1 4.60000+ 1 3.06280- 7 9.91670- 4 4.30000+ 1 4.70000+ 1 6.12550- 7 9.92280- 4 4.30000+ 1 5.80000+ 1 3.06280- 7 9.90630- 4 4.40000+ 1 4.40000+ 1 1.14689- 4 9.81360- 4 4.40000+ 1 4.60000+ 1 5.36222- 6 1.00119- 3 4.40000+ 1 4.70000+ 1 6.55387- 6 1.00180- 3 4.40000+ 1 5.80000+ 1 1.04259- 5 1.00015- 3 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.65130- 4 3.76090- 4 2.90000+ 1 1.56490- 4 5.18800- 4 3.00000+ 1 1.77830- 5 5.74790- 4 3.50000+ 1 2.03490- 5 7.69270- 4 4.30000+ 1 2.79790- 5 7.44090- 4 4.40000+ 1 2.98590- 6 7.53610- 4 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.50000+ 1 1.31440- 3 3.41300- 5 2.20000+ 1 3.60000+ 1 1.52192- 3 3.50900- 5 2.20000+ 1 4.30000+ 1 1.20923- 3 8.95000- 6 2.20000+ 1 4.40000+ 1 2.74906- 3 1.84700- 5 2.20000+ 1 4.60000+ 1 4.37521- 4 3.83000- 5 2.20000+ 1 4.70000+ 1 8.01482- 5 3.89100- 5 2.20000+ 1 5.80000+ 1 2.15030- 4 3.72600- 5 2.40000+ 1 2.50000+ 1 2.72205- 2 0.00000+ 0 2.40000+ 1 2.70000+ 1 1.18511- 1 5.54400- 5 2.40000+ 1 2.90000+ 1 1.05924- 1 1.16710- 4 2.40000+ 1 3.00000+ 1 1.27076- 1 1.72700- 4 2.40000+ 1 3.20000+ 1 1.28377- 1 2.63740- 4 2.40000+ 1 3.30000+ 1 1.34811- 1 2.72070- 4 2.40000+ 1 3.50000+ 1 1.91125- 3 3.67180- 4 2.40000+ 1 3.60000+ 1 1.37823- 3 3.68140- 4 2.40000+ 1 4.10000+ 1 2.35993- 2 3.23860- 4 2.40000+ 1 4.30000+ 1 1.73665- 2 3.42000- 4 2.40000+ 1 4.40000+ 1 1.88694- 2 3.51520- 4 2.40000+ 1 4.60000+ 1 6.62207- 4 3.71350- 4 2.40000+ 1 4.70000+ 1 6.97228- 4 3.71960- 4 2.40000+ 1 5.80000+ 1 2.41536- 3 3.70310- 4 2.50000+ 1 2.50000+ 1 2.16173- 3 0.00000+ 0 2.50000+ 1 2.70000+ 1 8.98147- 3 6.67800- 5 2.50000+ 1 2.90000+ 1 1.77461- 2 1.28050- 4 2.50000+ 1 3.00000+ 1 8.21103- 3 1.84040- 4 2.50000+ 1 3.20000+ 1 1.37228- 1 2.75080- 4 2.50000+ 1 3.30000+ 1 5.81427- 3 2.83410- 4 2.50000+ 1 3.50000+ 1 8.09326- 4 3.78520- 4 2.50000+ 1 3.60000+ 1 1.72978- 4 3.79480- 4 2.50000+ 1 4.10000+ 1 1.27272- 3 3.35200- 4 2.50000+ 1 4.30000+ 1 1.82323- 3 3.53340- 4 2.50000+ 1 4.40000+ 1 9.44203- 4 3.62860- 4 2.50000+ 1 4.60000+ 1 6.31525- 4 3.82690- 4 2.50000+ 1 4.70000+ 1 2.84661- 5 3.83300- 4 2.50000+ 1 5.80000+ 1 1.25251- 4 3.81650- 4 2.70000+ 1 2.70000+ 1 8.74612- 4 1.36880- 4 2.70000+ 1 2.90000+ 1 2.13598- 3 1.98150- 4 2.70000+ 1 3.00000+ 1 1.64499- 3 2.54140- 4 2.70000+ 1 3.20000+ 1 1.23024- 2 3.45180- 4 2.70000+ 1 3.30000+ 1 2.14729- 3 3.53510- 4 2.70000+ 1 3.50000+ 1 4.83946- 4 4.48620- 4 2.70000+ 1 3.60000+ 1 3.94610- 4 4.49580- 4 2.70000+ 1 4.10000+ 1 2.02322- 4 4.05300- 4 2.70000+ 1 4.30000+ 1 2.35622- 4 4.23440- 4 2.70000+ 1 4.40000+ 1 1.94897- 4 4.32960- 4 2.70000+ 1 4.60000+ 1 5.43074- 5 4.52790- 4 2.70000+ 1 4.70000+ 1 8.32126- 6 4.53400- 4 2.70000+ 1 5.80000+ 1 1.97088- 5 4.51750- 4 2.90000+ 1 2.90000+ 1 4.47153- 4 2.59420- 4 2.90000+ 1 3.00000+ 1 2.14723- 3 3.15410- 4 2.90000+ 1 3.20000+ 1 8.48133- 3 4.06450- 4 2.90000+ 1 3.30000+ 1 9.88894- 4 4.14780- 4 2.90000+ 1 3.50000+ 1 7.88309- 5 5.09890- 4 2.90000+ 1 3.60000+ 1 6.56933- 5 5.10850- 4 2.90000+ 1 4.10000+ 1 1.51527- 4 4.66570- 4 2.90000+ 1 4.30000+ 1 1.01168- 4 4.84710- 4 2.90000+ 1 4.40000+ 1 1.84806- 4 4.94230- 4 2.90000+ 1 4.60000+ 1 3.81011- 5 5.14060- 4 2.90000+ 1 4.70000+ 1 5.25549- 6 5.14670- 4 2.90000+ 1 5.80000+ 1 1.40140- 5 5.13020- 4 3.00000+ 1 3.00000+ 1 7.49067- 4 3.71400- 4 3.00000+ 1 3.20000+ 1 1.68558- 2 4.62440- 4 3.00000+ 1 3.30000+ 1 1.43856- 3 4.70770- 4 3.00000+ 1 3.50000+ 1 2.05267- 4 5.65880- 4 3.00000+ 1 3.60000+ 1 1.12421- 4 5.66840- 4 3.00000+ 1 4.10000+ 1 7.70773- 5 5.22560- 4 3.00000+ 1 4.30000+ 1 1.62663- 4 5.40700- 4 3.00000+ 1 4.40000+ 1 1.36267- 4 5.50220- 4 3.00000+ 1 4.60000+ 1 7.66521- 5 5.70050- 4 3.00000+ 1 4.70000+ 1 6.38777- 6 5.70660- 4 3.00000+ 1 5.80000+ 1 6.81352- 6 5.69010- 4 3.20000+ 1 3.20000+ 1 1.08977- 2 5.53480- 4 3.20000+ 1 3.30000+ 1 2.12752- 2 5.61810- 4 3.20000+ 1 3.50000+ 1 1.76069- 3 6.56920- 4 3.20000+ 1 3.60000+ 1 2.40959- 3 6.57880- 4 3.20000+ 1 4.10000+ 1 1.90168- 3 6.13600- 4 3.20000+ 1 4.30000+ 1 1.42208- 3 6.31740- 4 3.20000+ 1 4.40000+ 1 2.54598- 3 6.41260- 4 3.20000+ 1 4.60000+ 1 1.16052- 4 6.61090- 4 3.20000+ 1 4.70000+ 1 1.15182- 4 6.61700- 4 3.20000+ 1 5.80000+ 1 1.91829- 4 6.60050- 4 3.30000+ 1 3.30000+ 1 3.26043- 4 5.70140- 4 3.30000+ 1 3.50000+ 1 1.93305- 4 6.65250- 4 3.30000+ 1 3.60000+ 1 6.24926- 5 6.66210- 4 3.30000+ 1 4.10000+ 1 6.71509- 5 6.21930- 4 3.30000+ 1 4.30000+ 1 7.29718- 5 6.40070- 4 3.30000+ 1 4.40000+ 1 1.29641- 4 6.49590- 4 3.30000+ 1 4.60000+ 1 8.61701- 5 6.69420- 4 3.30000+ 1 4.70000+ 1 3.10522- 6 6.70030- 4 3.30000+ 1 5.80000+ 1 6.21041- 6 6.68380- 4 3.50000+ 1 3.50000+ 1 2.18982- 6 7.60360- 4 3.50000+ 1 3.60000+ 1 1.27006- 5 7.61320- 4 3.50000+ 1 4.10000+ 1 3.02192- 5 7.17040- 4 3.50000+ 1 4.30000+ 1 1.22624- 5 7.35180- 4 3.50000+ 1 4.40000+ 1 2.49640- 5 7.44700- 4 3.50000+ 1 4.60000+ 1 7.88332- 6 7.64530- 4 3.50000+ 1 4.70000+ 1 8.75915- 7 7.65140- 4 3.50000+ 1 5.80000+ 1 2.62769- 6 7.63490- 4 3.60000+ 1 3.60000+ 1 8.75912- 7 7.62280- 4 3.60000+ 1 4.10000+ 1 1.79557- 5 7.18000- 4 3.60000+ 1 4.30000+ 1 8.75912- 6 7.36140- 4 3.60000+ 1 4.40000+ 1 1.13878- 5 7.45660- 4 3.60000+ 1 4.60000+ 1 1.09495- 5 7.65490- 4 3.60000+ 1 4.70000+ 1 4.37969- 7 7.66100- 4 3.60000+ 1 5.80000+ 1 1.31389- 6 7.64450- 4 4.10000+ 1 4.10000+ 1 4.56890- 6 6.73720- 4 4.10000+ 1 4.30000+ 1 9.13835- 6 6.91860- 4 4.10000+ 1 4.40000+ 1 7.02889- 6 7.01380- 4 4.10000+ 1 4.60000+ 1 6.67752- 6 7.21210- 4 4.10000+ 1 4.70000+ 1 3.51455- 7 7.21820- 4 4.10000+ 1 5.80000+ 1 7.02889- 7 7.20170- 4 4.30000+ 1 4.30000+ 1 1.27996- 6 7.10000- 4 4.30000+ 1 4.40000+ 1 1.02399- 5 7.19520- 4 4.30000+ 1 4.60000+ 1 4.48008- 6 7.39350- 4 4.30000+ 1 4.70000+ 1 3.20012- 7 7.39960- 4 4.30000+ 1 5.80000+ 1 6.40005- 7 7.38310- 4 4.40000+ 1 4.40000+ 1 2.58082- 6 7.29040- 4 4.40000+ 1 4.60000+ 1 4.79331- 6 7.48870- 4 4.40000+ 1 4.70000+ 1 3.68685- 7 7.49480- 4 4.40000+ 1 5.80000+ 1 3.68685- 7 7.47830- 4 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.75489- 5 3.33050- 4 2.50000+ 1 3.97668- 4 3.44390- 4 3.00000+ 1 1.31869- 4 5.31750- 4 3.50000+ 1 1.38589- 6 7.26230- 4 3.60000+ 1 2.29319- 5 7.27190- 4 4.40000+ 1 2.21179- 5 7.10570- 4 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.70000+ 1 1.19884- 2 1.24000- 5 2.40000+ 1 2.90000+ 1 8.35602- 3 7.36700- 5 2.40000+ 1 3.00000+ 1 1.55558- 2 1.29660- 4 2.40000+ 1 3.20000+ 1 7.45516- 3 2.20700- 4 2.40000+ 1 3.30000+ 1 1.06098- 1 2.29030- 4 2.40000+ 1 3.50000+ 1 2.87380- 4 3.24140- 4 2.40000+ 1 3.60000+ 1 4.28575- 4 3.25100- 4 2.40000+ 1 4.10000+ 1 2.06599- 3 2.80820- 4 2.40000+ 1 4.30000+ 1 1.33403- 3 2.98960- 4 2.40000+ 1 4.40000+ 1 1.91332- 3 3.08480- 4 2.40000+ 1 4.60000+ 1 4.17015- 5 3.28310- 4 2.40000+ 1 4.70000+ 1 4.48394- 4 3.28920- 4 2.40000+ 1 5.80000+ 1 2.06440- 4 3.27270- 4 2.50000+ 1 2.70000+ 1 1.16127- 1 2.37400- 5 2.50000+ 1 2.90000+ 1 1.23393- 1 8.50100- 5 2.50000+ 1 3.00000+ 1 1.12608- 1 1.41000- 4 2.50000+ 1 3.20000+ 1 1.11704- 1 2.32040- 4 2.50000+ 1 3.30000+ 1 2.01350- 1 2.40370- 4 2.50000+ 1 3.50000+ 1 1.20480- 3 3.35480- 4 2.50000+ 1 3.60000+ 1 2.50979- 3 3.36440- 4 2.50000+ 1 4.10000+ 1 2.29122- 2 2.92160- 4 2.50000+ 1 4.30000+ 1 1.96261- 2 3.10300- 4 2.50000+ 1 4.40000+ 1 1.69633- 2 3.19820- 4 2.50000+ 1 4.60000+ 1 6.25102- 4 3.39650- 4 2.50000+ 1 4.70000+ 1 9.46323- 4 3.40260- 4 2.50000+ 1 5.80000+ 1 2.32819- 3 3.38610- 4 2.70000+ 1 2.70000+ 1 1.60287- 3 9.38400- 5 2.70000+ 1 2.90000+ 1 2.28081- 3 1.55110- 4 2.70000+ 1 3.00000+ 1 3.50044- 3 2.11100- 4 2.70000+ 1 3.20000+ 1 3.11228- 3 3.02140- 4 2.70000+ 1 3.30000+ 1 1.50984- 2 3.10470- 4 2.70000+ 1 3.50000+ 1 4.62626- 4 4.05580- 4 2.70000+ 1 3.60000+ 1 7.24763- 4 4.06540- 4 2.70000+ 1 4.10000+ 1 3.59215- 4 3.62260- 4 2.70000+ 1 4.30000+ 1 2.59440- 4 3.80400- 4 2.70000+ 1 4.40000+ 1 4.09998- 4 3.89920- 4 2.70000+ 1 4.60000+ 1 1.26996- 5 4.09750- 4 2.70000+ 1 4.70000+ 1 5.94154- 5 4.10360- 4 2.70000+ 1 5.80000+ 1 3.49225- 5 4.08710- 4 2.90000+ 1 2.90000+ 1 3.01629- 4 2.16380- 4 2.90000+ 1 3.00000+ 1 3.88101- 3 2.72370- 4 2.90000+ 1 3.20000+ 1 5.62053- 4 3.63410- 4 2.90000+ 1 3.30000+ 1 1.28724- 2 3.71740- 4 2.90000+ 1 3.50000+ 1 7.51825- 5 4.66850- 4 2.90000+ 1 3.60000+ 1 1.68466- 4 4.67810- 4 2.90000+ 1 4.10000+ 1 1.54893- 4 4.23530- 4 2.90000+ 1 4.30000+ 1 6.83885- 5 4.41670- 4 2.90000+ 1 4.40000+ 1 3.44653- 4 4.51190- 4 2.90000+ 1 4.60000+ 1 2.26450- 6 4.71020- 4 2.90000+ 1 4.70000+ 1 5.34435- 5 4.71630- 4 2.90000+ 1 5.80000+ 1 1.44926- 5 4.69980- 4 3.00000+ 1 3.00000+ 1 1.19094- 3 3.28360- 4 3.00000+ 1 3.20000+ 1 2.09004- 3 4.19400- 4 3.00000+ 1 3.30000+ 1 1.59622- 2 4.27730- 4 3.00000+ 1 3.50000+ 1 1.44814- 4 5.22840- 4 3.00000+ 1 3.60000+ 1 1.99059- 4 5.23800- 4 3.00000+ 1 4.10000+ 1 1.13623- 4 4.79520- 4 3.00000+ 1 4.30000+ 1 1.73865- 4 4.97660- 4 3.00000+ 1 4.40000+ 1 2.19997- 4 5.07180- 4 3.00000+ 1 4.60000+ 1 1.06795- 5 5.27010- 4 3.00000+ 1 4.70000+ 1 6.53562- 5 5.27620- 4 3.00000+ 1 5.80000+ 1 9.39765- 6 5.25970- 4 3.20000+ 1 3.20000+ 1 1.38949- 4 5.10440- 4 3.20000+ 1 3.30000+ 1 1.52845- 2 5.18770- 4 3.20000+ 1 3.50000+ 1 4.70168- 5 6.13880- 4 3.20000+ 1 3.60000+ 1 1.77565- 4 6.14840- 4 3.20000+ 1 4.10000+ 1 7.51421- 5 5.70560- 4 3.20000+ 1 4.30000+ 1 4.91168- 5 5.88700- 4 3.20000+ 1 4.40000+ 1 2.13674- 4 5.98220- 4 3.20000+ 1 4.60000+ 1 1.25943- 6 6.18050- 4 3.20000+ 1 4.70000+ 1 6.29683- 5 6.18660- 4 3.20000+ 1 5.80000+ 1 6.71664- 6 6.17010- 4 3.30000+ 1 3.30000+ 1 1.71877- 2 5.27100- 4 3.30000+ 1 3.50000+ 1 1.96706- 3 6.22210- 4 3.30000+ 1 3.60000+ 1 2.33825- 3 6.23170- 4 3.30000+ 1 4.10000+ 1 1.92553- 3 5.78890- 4 3.30000+ 1 4.30000+ 1 1.79721- 3 5.97030- 4 3.30000+ 1 4.40000+ 1 2.37946- 3 6.06550- 4 3.30000+ 1 4.60000+ 1 9.25986- 5 6.26380- 4 3.30000+ 1 4.70000+ 1 1.63952- 4 6.26990- 4 3.30000+ 1 5.80000+ 1 1.94118- 4 6.25340- 4 3.50000+ 1 3.50000+ 1 4.12883- 7 7.17320- 4 3.50000+ 1 3.60000+ 1 9.90907- 6 7.18280- 4 3.50000+ 1 4.10000+ 1 1.89927- 5 6.74000- 4 3.50000+ 1 4.30000+ 1 7.01889- 6 6.92140- 4 3.50000+ 1 4.40000+ 1 1.27983- 5 7.01660- 4 3.50000+ 1 4.60000+ 1 4.12883- 7 7.21490- 4 3.50000+ 1 4.70000+ 1 7.84457- 6 7.22100- 4 3.50000+ 1 5.80000+ 1 1.65147- 6 7.20450- 4 3.60000+ 1 3.60000+ 1 4.95453- 6 7.19240- 4 3.60000+ 1 4.10000+ 1 3.55075- 5 6.74960- 4 3.60000+ 1 4.30000+ 1 1.44513- 5 6.93100- 4 3.60000+ 1 4.40000+ 1 2.18822- 5 7.02620- 4 3.60000+ 1 4.60000+ 1 8.25749- 7 7.22450- 4 3.60000+ 1 4.70000+ 1 9.08337- 6 7.23060- 4 3.60000+ 1 5.80000+ 1 2.89006- 6 7.21410- 4 4.10000+ 1 4.10000+ 1 9.09243- 6 6.30680- 4 4.10000+ 1 4.30000+ 1 1.21230- 5 6.48820- 4 4.10000+ 1 4.40000+ 1 1.28809- 5 6.58340- 4 4.10000+ 1 4.60000+ 1 3.78856- 7 6.78170- 4 4.10000+ 1 4.70000+ 1 6.81931- 6 6.78780- 4 4.10000+ 1 5.80000+ 1 1.51537- 6 6.77130- 4 4.30000+ 1 4.30000+ 1 1.86674- 6 6.66960- 4 4.30000+ 1 4.40000+ 1 1.45607- 5 6.76480- 4 4.30000+ 1 4.70000+ 1 6.72032- 6 6.96920- 4 4.30000+ 1 5.80000+ 1 1.12010- 6 6.95270- 4 4.40000+ 1 4.40000+ 1 6.89895- 6 6.86000- 4 4.40000+ 1 4.60000+ 1 7.96061- 7 7.05830- 4 4.40000+ 1 4.70000+ 1 6.10287- 6 7.06440- 4 4.40000+ 1 5.80000+ 1 7.96061- 7 7.04790- 4 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 7.40479- 5 2.89740- 4 3.30000+ 1 4.72978- 6 2.98070- 4 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 3.50000+ 1 5.55785- 2 2.43000- 6 2.50000+ 1 3.60000+ 1 2.74841- 3 3.39000- 6 2.50000+ 1 4.60000+ 1 1.62955- 4 6.60000- 6 2.50000+ 1 4.70000+ 1 1.68431- 4 7.21000- 6 2.50000+ 1 5.80000+ 1 2.30048- 4 5.56000- 6 2.70000+ 1 3.50000+ 1 4.13042- 2 7.25300- 5 2.70000+ 1 3.60000+ 1 5.31014- 3 7.34900- 5 2.70000+ 1 4.10000+ 1 3.93261- 3 2.92100- 5 2.70000+ 1 4.30000+ 1 3.57340- 3 4.73500- 5 2.70000+ 1 4.40000+ 1 7.48601- 3 5.68700- 5 2.70000+ 1 4.60000+ 1 9.98165- 5 7.67000- 5 2.70000+ 1 4.70000+ 1 1.69687- 4 7.73100- 5 2.70000+ 1 5.80000+ 1 2.79480- 4 7.56600- 5 2.90000+ 1 3.20000+ 1 3.96108- 2 3.03600- 5 2.90000+ 1 3.30000+ 1 6.32366- 2 3.86900- 5 2.90000+ 1 3.50000+ 1 4.58340- 2 1.33800- 4 2.90000+ 1 3.60000+ 1 1.09902- 2 1.34760- 4 2.90000+ 1 4.10000+ 1 2.31592- 2 9.04800- 5 2.90000+ 1 4.30000+ 1 1.26911- 2 1.08620- 4 2.90000+ 1 4.40000+ 1 2.18936- 2 1.18140- 4 2.90000+ 1 4.60000+ 1 1.06848- 3 1.37970- 4 2.90000+ 1 4.70000+ 1 1.23203- 3 1.38580- 4 2.90000+ 1 5.80000+ 1 2.23515- 3 1.36930- 4 3.00000+ 1 3.20000+ 1 1.21914- 1 8.63500- 5 3.00000+ 1 3.30000+ 1 9.59137- 2 9.46800- 5 3.00000+ 1 3.50000+ 1 6.46831- 2 1.89790- 4 3.00000+ 1 3.60000+ 1 3.81273- 3 1.90750- 4 3.00000+ 1 4.10000+ 1 9.51241- 3 1.46470- 4 3.00000+ 1 4.30000+ 1 6.89741- 3 1.64610- 4 3.00000+ 1 4.40000+ 1 4.82117- 3 1.74130- 4 3.00000+ 1 4.60000+ 1 5.39009- 4 1.93960- 4 3.00000+ 1 4.70000+ 1 3.89277- 4 1.94570- 4 3.00000+ 1 5.80000+ 1 7.78538- 4 1.92920- 4 3.20000+ 1 3.20000+ 1 3.17419- 2 1.77390- 4 3.20000+ 1 3.30000+ 1 5.36101- 2 1.85720- 4 3.20000+ 1 3.50000+ 1 5.97995- 2 2.80830- 4 3.20000+ 1 3.60000+ 1 1.19680- 2 2.81790- 4 3.20000+ 1 4.10000+ 1 3.69320- 3 2.37510- 4 3.20000+ 1 4.30000+ 1 1.59101- 2 2.55650- 4 3.20000+ 1 4.40000+ 1 1.09698- 2 2.65170- 4 3.20000+ 1 4.60000+ 1 2.39557- 4 2.85000- 4 3.20000+ 1 4.70000+ 1 2.39557- 4 2.85610- 4 3.20000+ 1 5.80000+ 1 3.89276- 4 2.83960- 4 3.30000+ 1 3.30000+ 1 1.04007- 2 1.94050- 4 3.30000+ 1 3.50000+ 1 8.32045- 2 2.89160- 4 3.30000+ 1 3.60000+ 1 2.78474- 3 2.90120- 4 3.30000+ 1 4.10000+ 1 2.45540- 3 2.45840- 4 3.30000+ 1 4.30000+ 1 1.22072- 2 2.63980- 4 3.30000+ 1 4.40000+ 1 5.87896- 3 2.73500- 4 3.30000+ 1 4.60000+ 1 1.59706- 4 2.93330- 4 3.30000+ 1 4.70000+ 1 8.98331- 5 2.93940- 4 3.30000+ 1 5.80000+ 1 2.39552- 4 2.92290- 4 3.50000+ 1 3.50000+ 1 1.79669- 3 3.84270- 4 3.50000+ 1 3.60000+ 1 1.08900- 2 3.85230- 4 3.50000+ 1 4.10000+ 1 7.45619- 3 3.40950- 4 3.50000+ 1 4.30000+ 1 6.42840- 3 3.59090- 4 3.50000+ 1 4.40000+ 1 9.35266- 3 3.68610- 4 3.50000+ 1 4.60000+ 1 3.19412- 4 3.88440- 4 3.50000+ 1 4.70000+ 1 4.29223- 4 3.89050- 4 3.50000+ 1 5.80000+ 1 7.48621- 4 3.87400- 4 3.60000+ 1 3.60000+ 1 5.98872- 5 3.86190- 4 3.60000+ 1 4.10000+ 1 2.19588- 4 3.41910- 4 3.60000+ 1 4.30000+ 1 6.88708- 4 3.60050- 4 3.60000+ 1 4.40000+ 1 2.99435- 4 3.69570- 4 3.60000+ 1 4.60000+ 1 2.99435- 5 3.89400- 4 3.60000+ 1 4.70000+ 1 9.98166- 6 3.90010- 4 3.60000+ 1 5.80000+ 1 1.99633- 5 3.88360- 4 4.10000+ 1 4.10000+ 1 7.98568- 5 2.97630- 4 4.10000+ 1 4.30000+ 1 8.78392- 4 3.15770- 4 4.10000+ 1 4.40000+ 1 6.48831- 4 3.25290- 4 4.10000+ 1 4.60000+ 1 9.98214- 6 3.45120- 4 4.10000+ 1 4.70000+ 1 9.98214- 6 3.45730- 4 4.10000+ 1 5.80000+ 1 1.99643- 5 3.44080- 4 4.30000+ 1 4.30000+ 1 3.19420- 4 3.33910- 4 4.30000+ 1 4.40000+ 1 5.49011- 4 3.43430- 4 4.30000+ 1 4.60000+ 1 5.98903- 5 3.63260- 4 4.30000+ 1 4.70000+ 1 3.99272- 5 3.63870- 4 4.30000+ 1 5.80000+ 1 7.98570- 5 3.62220- 4 4.40000+ 1 4.40000+ 1 1.19782- 4 3.52950- 4 4.40000+ 1 4.60000+ 1 3.99264- 5 3.72780- 4 4.40000+ 1 4.70000+ 1 1.99639- 5 3.73390- 4 4.40000+ 1 5.80000+ 1 5.98890- 5 3.71740- 4 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 7.51976- 5 2.86730- 4 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 3.50000+ 1 3.20411- 3 6.11900- 5 2.70000+ 1 3.60000+ 1 3.97906- 2 6.21500- 5 2.70000+ 1 4.10000+ 1 4.26246- 3 1.78700- 5 2.70000+ 1 4.30000+ 1 3.55686- 3 3.60100- 5 2.70000+ 1 4.40000+ 1 5.36935- 3 4.55300- 5 2.70000+ 1 4.60000+ 1 1.66571- 4 6.53600- 5 2.70000+ 1 4.70000+ 1 1.66571- 4 6.59700- 5 2.70000+ 1 5.80000+ 1 3.33143- 4 6.43200- 5 2.90000+ 1 3.20000+ 1 8.44894- 3 1.90200- 5 2.90000+ 1 3.30000+ 1 1.62116- 2 2.73500- 5 2.90000+ 1 3.50000+ 1 4.92854- 4 1.22460- 4 2.90000+ 1 3.60000+ 1 3.41230- 2 1.23420- 4 2.90000+ 1 4.10000+ 1 3.83734- 3 7.91400- 5 2.90000+ 1 4.30000+ 1 9.41704- 4 9.72800- 5 2.90000+ 1 4.40000+ 1 2.32349- 3 1.06800- 4 2.90000+ 1 4.60000+ 1 1.32012- 4 1.26630- 4 2.90000+ 1 4.70000+ 1 1.40824- 4 1.27240- 4 2.90000+ 1 5.80000+ 1 4.04857- 4 1.25590- 4 3.00000+ 1 3.20000+ 1 1.40398- 1 7.50100- 5 3.00000+ 1 3.30000+ 1 3.24452- 1 8.33400- 5 3.00000+ 1 3.50000+ 1 9.65489- 3 1.78450- 4 3.00000+ 1 3.60000+ 1 6.34370- 2 1.79410- 4 3.00000+ 1 4.10000+ 1 1.62733- 2 1.35130- 4 3.00000+ 1 4.30000+ 1 5.77351- 3 1.53270- 4 3.00000+ 1 4.40000+ 1 1.65734- 2 1.62790- 4 3.00000+ 1 4.60000+ 1 7.21703- 4 1.82620- 4 3.00000+ 1 4.70000+ 1 1.37298- 3 1.83230- 4 3.00000+ 1 5.80000+ 1 1.46975- 3 1.81580- 4 3.20000+ 1 3.20000+ 1 4.31313- 3 1.66050- 4 3.20000+ 1 3.30000+ 1 4.36663- 2 1.74380- 4 3.20000+ 1 3.50000+ 1 1.57087- 3 2.69490- 4 3.20000+ 1 3.60000+ 1 5.25571- 2 2.70450- 4 3.20000+ 1 4.10000+ 1 1.81052- 3 2.26170- 4 3.20000+ 1 4.30000+ 1 1.81933- 3 2.44310- 4 3.20000+ 1 4.40000+ 1 8.94598- 3 2.53830- 4 3.20000+ 1 4.60000+ 1 3.54999- 5 2.73660- 4 3.20000+ 1 4.70000+ 1 1.33121- 4 2.74270- 4 3.20000+ 1 5.80000+ 1 1.77495- 4 2.72620- 4 3.30000+ 1 3.30000+ 1 3.30662- 2 1.82710- 4 3.30000+ 1 3.50000+ 1 9.22358- 3 2.77820- 4 3.30000+ 1 3.60000+ 1 7.43957- 2 2.78780- 4 3.30000+ 1 4.10000+ 1 3.69629- 3 2.34500- 4 3.30000+ 1 4.30000+ 1 4.19833- 3 2.52640- 4 3.30000+ 1 4.40000+ 1 1.90542- 2 2.62160- 4 3.30000+ 1 4.60000+ 1 2.28824- 4 2.81990- 4 3.30000+ 1 4.70000+ 1 2.37626- 4 2.82600- 4 3.30000+ 1 5.80000+ 1 3.78461- 4 2.80950- 4 3.50000+ 1 3.50000+ 1 1.76015- 5 3.72930- 4 3.50000+ 1 3.60000+ 1 7.62153- 3 3.73890- 4 3.50000+ 1 4.10000+ 1 1.76015- 4 3.29610- 4 3.50000+ 1 4.30000+ 1 4.40038- 5 3.47750- 4 3.50000+ 1 4.40000+ 1 7.04100- 4 3.57270- 4 3.50000+ 1 4.60000+ 1 8.80116- 6 3.77100- 4 3.50000+ 1 4.70000+ 1 1.76015- 5 3.77710- 4 3.50000+ 1 5.80000+ 1 1.76015- 5 3.76060- 4 3.60000+ 1 3.60000+ 1 3.73150- 3 3.74850- 4 3.60000+ 1 4.10000+ 1 6.53017- 3 3.30570- 4 3.60000+ 1 4.30000+ 1 5.46540- 3 3.48710- 4 3.60000+ 1 4.40000+ 1 8.55467- 3 3.58230- 4 3.60000+ 1 4.60000+ 1 2.99231- 4 3.78060- 4 3.60000+ 1 4.70000+ 1 3.60820- 4 3.78670- 4 3.60000+ 1 5.80000+ 1 6.60071- 4 3.77020- 4 4.10000+ 1 4.10000+ 1 6.16091- 5 2.86290- 4 4.10000+ 1 4.30000+ 1 3.34450- 4 3.04430- 4 4.10000+ 1 4.40000+ 1 8.62529- 4 3.13950- 4 4.10000+ 1 4.60000+ 1 8.80156- 6 3.33780- 4 4.10000+ 1 4.70000+ 1 8.80156- 6 3.34390- 4 4.10000+ 1 5.80000+ 1 8.80156- 6 3.32740- 4 4.30000+ 1 4.30000+ 1 3.52046- 5 3.22570- 4 4.30000+ 1 4.40000+ 1 2.64036- 4 3.32090- 4 4.30000+ 1 4.60000+ 1 8.80130- 6 3.51920- 4 4.30000+ 1 4.70000+ 1 8.80130- 6 3.52530- 4 4.30000+ 1 5.80000+ 1 3.52046- 5 3.50880- 4 4.40000+ 1 4.40000+ 1 3.60818- 4 3.41610- 4 4.40000+ 1 4.60000+ 1 3.52035- 5 3.61440- 4 4.40000+ 1 4.70000+ 1 6.16055- 5 3.62050- 4 4.40000+ 1 5.80000+ 1 7.92097- 5 3.60400- 4 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.40882- 6 6.12700- 5 3.00000+ 1 2.03309- 5 1.17260- 4 4.30000+ 1 2.91931- 6 2.86560- 4 4.40000+ 1 4.16005- 8 2.96080- 4 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.50000+ 1 2.45806- 2 5.23600- 5 2.90000+ 1 3.60000+ 1 4.06326- 2 5.33200- 5 2.90000+ 1 4.10000+ 1 2.69422- 2 9.04000- 6 2.90000+ 1 4.30000+ 1 1.78106- 2 2.71800- 5 2.90000+ 1 4.40000+ 1 3.40466- 2 3.67000- 5 2.90000+ 1 4.60000+ 1 7.64802- 4 5.65300- 5 2.90000+ 1 4.70000+ 1 1.58535- 3 5.71400- 5 2.90000+ 1 5.80000+ 1 2.62901- 3 5.54900- 5 3.00000+ 1 3.20000+ 1 2.41761- 1 4.91000- 6 3.00000+ 1 3.30000+ 1 2.27496- 1 1.32400- 5 3.00000+ 1 3.50000+ 1 4.89870- 2 1.08350- 4 3.00000+ 1 3.60000+ 1 4.73234- 2 1.09310- 4 3.00000+ 1 4.10000+ 1 2.41721- 2 6.50300- 5 3.00000+ 1 4.30000+ 1 2.40581- 2 8.31700- 5 3.00000+ 1 4.40000+ 1 2.24198- 2 9.26900- 5 3.00000+ 1 4.60000+ 1 1.21541- 3 1.12520- 4 3.00000+ 1 4.70000+ 1 1.13481- 3 1.13130- 4 3.00000+ 1 5.80000+ 1 2.42911- 3 1.11480- 4 3.20000+ 1 3.20000+ 1 1.80464- 3 9.59500- 5 3.20000+ 1 3.30000+ 1 1.27531- 1 1.04280- 4 3.20000+ 1 3.50000+ 1 1.29878- 3 1.99390- 4 3.20000+ 1 3.60000+ 1 4.36837- 3 2.00350- 4 3.20000+ 1 4.10000+ 1 7.09386- 3 1.56070- 4 3.20000+ 1 4.30000+ 1 1.32684- 3 1.74210- 4 3.20000+ 1 4.40000+ 1 6.03362- 3 1.83730- 4 3.20000+ 1 4.60000+ 1 3.16736- 5 2.03560- 4 3.20000+ 1 4.70000+ 1 2.88842- 4 2.04170- 4 3.20000+ 1 5.80000+ 1 5.73658- 4 2.02520- 4 3.30000+ 1 3.30000+ 1 2.83358- 2 1.12610- 4 3.30000+ 1 3.50000+ 1 4.38691- 3 2.07720- 4 3.30000+ 1 3.60000+ 1 3.02146- 3 2.08680- 4 3.30000+ 1 4.10000+ 1 8.83218- 3 1.64400- 4 3.30000+ 1 4.30000+ 1 3.94534- 3 1.82540- 4 3.30000+ 1 4.40000+ 1 3.49851- 3 1.92060- 4 3.30000+ 1 4.60000+ 1 2.57618- 4 2.11890- 4 3.30000+ 1 4.70000+ 1 1.42764- 4 2.12500- 4 3.30000+ 1 5.80000+ 1 7.12043- 4 2.10850- 4 3.50000+ 1 3.50000+ 1 1.70720- 6 3.02830- 4 3.50000+ 1 3.60000+ 1 1.70599- 4 3.03790- 4 3.50000+ 1 4.10000+ 1 8.88726- 4 2.59510- 4 3.50000+ 1 4.30000+ 1 7.28012- 5 2.77650- 4 3.50000+ 1 4.40000+ 1 3.00352- 4 2.87170- 4 3.50000+ 1 4.60000+ 1 3.29255- 6 3.07000- 4 3.50000+ 1 4.70000+ 1 1.03655- 5 3.07610- 4 3.50000+ 1 5.80000+ 1 6.48740- 5 3.05960- 4 3.60000+ 1 3.60000+ 1 1.62188- 5 3.04750- 4 3.60000+ 1 4.10000+ 1 1.11161- 3 2.60470- 4 3.60000+ 1 4.30000+ 1 1.96094- 4 2.78610- 4 3.60000+ 1 4.40000+ 1 1.79257- 4 2.88130- 4 3.60000+ 1 4.60000+ 1 8.65834- 6 3.07960- 4 3.60000+ 1 4.70000+ 1 7.56075- 6 3.08570- 4 3.60000+ 1 5.80000+ 1 8.12146- 5 3.06920- 4 4.10000+ 1 4.10000+ 1 6.02445- 4 2.16190- 4 4.10000+ 1 4.30000+ 1 7.13168- 4 2.34330- 4 4.10000+ 1 4.40000+ 1 1.05783- 3 2.43850- 4 4.10000+ 1 4.60000+ 1 3.70272- 5 2.63680- 4 4.10000+ 1 4.70000+ 1 4.69317- 5 2.64290- 4 4.10000+ 1 5.80000+ 1 1.05423- 4 2.62640- 4 4.30000+ 1 4.30000+ 1 6.64597- 5 2.52470- 4 4.30000+ 1 4.40000+ 1 3.91435- 4 2.61990- 4 4.30000+ 1 4.60000+ 1 4.02411- 6 2.81820- 4 4.30000+ 1 4.70000+ 1 1.12189- 5 2.82430- 4 4.30000+ 1 5.80000+ 1 5.32881- 5 2.80780- 4 4.40000+ 1 4.40000+ 1 1.85000- 4 2.71510- 4 4.40000+ 1 4.60000+ 1 1.81701- 5 2.91340- 4 4.40000+ 1 4.70000+ 1 1.25610- 5 2.91950- 4 4.40000+ 1 5.80000+ 1 8.35322- 5 2.90300- 4 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 4.00728- 5 1.47030- 4 4.10000+ 1 4.70798- 6 2.07150- 4 5.80000+ 1 5.56837- 7 2.53600- 4 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.50000+ 1 1.05117- 2 4.70800- 5 3.00000+ 1 3.60000+ 1 6.64366- 3 4.80400- 5 3.00000+ 1 4.10000+ 1 1.83840- 2 3.76000- 6 3.00000+ 1 4.30000+ 1 1.05376- 2 2.19000- 5 3.00000+ 1 4.40000+ 1 8.69437- 3 3.14200- 5 3.00000+ 1 4.60000+ 1 4.85014- 4 5.12500- 5 3.00000+ 1 4.70000+ 1 5.55547- 4 5.18600- 5 3.00000+ 1 5.80000+ 1 1.26380- 3 5.02100- 5 3.20000+ 1 3.20000+ 1 1.16352- 1 3.46800- 5 3.20000+ 1 3.30000+ 1 4.93582- 1 4.30100- 5 3.20000+ 1 3.50000+ 1 3.49561- 2 1.38120- 4 3.20000+ 1 3.60000+ 1 7.77276- 2 1.39080- 4 3.20000+ 1 4.10000+ 1 4.33804- 2 9.48000- 5 3.20000+ 1 4.30000+ 1 2.90688- 2 1.12940- 4 3.20000+ 1 4.40000+ 1 4.66747- 2 1.22460- 4 3.20000+ 1 4.60000+ 1 1.05973- 3 1.42290- 4 3.20000+ 1 4.70000+ 1 2.22892- 3 1.42900- 4 3.20000+ 1 5.80000+ 1 4.41565- 3 1.41250- 4 3.30000+ 1 3.30000+ 1 2.00392- 2 5.13400- 5 3.30000+ 1 3.50000+ 1 1.92475- 2 1.46450- 4 3.30000+ 1 3.60000+ 1 4.54004- 3 1.47410- 4 3.30000+ 1 4.10000+ 1 4.13723- 3 1.03130- 4 3.30000+ 1 4.30000+ 1 2.27838- 2 1.21270- 4 3.30000+ 1 4.40000+ 1 5.12248- 3 1.30790- 4 3.30000+ 1 4.60000+ 1 5.53791- 4 1.50620- 4 3.30000+ 1 4.70000+ 1 1.53406- 4 1.51230- 4 3.30000+ 1 5.80000+ 1 3.47229- 4 1.49580- 4 3.50000+ 1 3.50000+ 1 7.11008- 5 2.41560- 4 3.50000+ 1 3.60000+ 1 1.59453- 3 2.42520- 4 3.50000+ 1 4.10000+ 1 9.10765- 4 1.98240- 4 3.50000+ 1 4.30000+ 1 1.91799- 3 2.16380- 4 3.50000+ 1 4.40000+ 1 1.08232- 3 2.25900- 4 3.50000+ 1 4.60000+ 1 2.11608- 5 2.45730- 4 3.50000+ 1 4.70000+ 1 5.27607- 5 2.46340- 4 3.50000+ 1 5.80000+ 1 9.56474- 5 2.44690- 4 3.60000+ 1 3.60000+ 1 4.20402- 5 2.43480- 4 3.60000+ 1 4.10000+ 1 3.23053- 4 1.99200- 4 3.60000+ 1 4.30000+ 1 3.06637- 3 2.17340- 4 3.60000+ 1 4.40000+ 1 3.30675- 4 2.26860- 4 3.60000+ 1 4.60000+ 1 3.86552- 5 2.46690- 4 3.60000+ 1 4.70000+ 1 8.46443- 6 2.47300- 4 3.60000+ 1 5.80000+ 1 2.65218- 5 2.45650- 4 4.10000+ 1 4.10000+ 1 1.05850- 4 1.54920- 4 4.10000+ 1 4.30000+ 1 2.13811- 3 1.73060- 4 4.10000+ 1 4.40000+ 1 3.59200- 4 1.82580- 4 4.10000+ 1 4.60000+ 1 4.94533- 5 2.02410- 4 4.10000+ 1 4.70000+ 1 1.56179- 5 2.03020- 4 4.10000+ 1 5.80000+ 1 1.73527- 5 2.01370- 4 4.30000+ 1 4.30000+ 1 1.12155- 3 1.91200- 4 4.30000+ 1 4.40000+ 1 2.55593- 3 2.00720- 4 4.30000+ 1 4.60000+ 1 7.59148- 5 2.20550- 4 4.30000+ 1 4.70000+ 1 1.14895- 4 2.21160- 4 4.30000+ 1 5.80000+ 1 1.99783- 4 2.19510- 4 4.40000+ 1 4.40000+ 1 1.01393- 4 2.10240- 4 4.40000+ 1 4.60000+ 1 4.28397- 5 2.30070- 4 4.40000+ 1 4.70000+ 1 7.96501- 6 2.30680- 4 4.40000+ 1 5.80000+ 1 2.04516- 5 2.29030- 4 1 92000 0 7 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 5.32318- 7 9.10400- 5 3.30000+ 1 6.29807- 6 9.93700- 5 4.10000+ 1 2.59909- 6 1.51160- 4 5.80000+ 1 2.93269- 7 1.97610- 4 1 92000 0 9 2.38029+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.50000+ 1 1.74597- 2 8.21300- 5 3.20000+ 1 3.60000+ 1 6.43805- 2 8.30900- 5 3.20000+ 1 4.10000+ 1 2.12225- 2 3.88100- 5 3.20000+ 1 4.30000+ 1 1.51377- 2 5.69500- 5 3.20000+ 1 4.40000+ 1 4.31869- 2 6.64700- 5 3.20000+ 1 4.60000+ 1 5.17432- 4 8.63000- 5 3.20000+ 1 4.70000+ 1 1.55659- 3 8.69100- 5 3.20000+ 1 5.80000+ 1 1.75801- 3 8.52600- 5 3.30000+ 1 3.30000+ 1 1.35811- 1 0.00000+ 0 3.30000+ 1 3.50000+ 1 1.93075- 1 9.04600- 5 3.30000+ 1 3.60000+ 1 1.71488- 1 9.14200- 5 3.30000+ 1 4.10000+ 1 9.24452- 2 4.71400- 5 3.30000+ 1 4.30000+ 1 9.38395- 2 6.52800- 5 3.30000+ 1 4.40000+ 1 1.03588- 1 7.48000- 5 3.30000+ 1 4.60000+ 1 4.50111- 3 9.46300- 5 3.30000+ 1 4.70000+ 1 4.18274- 3 9.52400- 5 3.30000+ 1 5.80000+ 1 9.49663- 3 9.35900- 5 3.50000+ 1 3.50000+ 1 2.93610- 5 1.85570- 4 3.50000+ 1 3.60000+ 1 2.47953- 3 1.86530- 4 3.50000+ 1 4.10000+ 1 1.68256- 3 1.42250- 4 3.50000+ 1 4.30000+ 1 4.52451- 4 1.60390- 4 3.50000+ 1 4.40000+ 1 4.18925- 3 1.69910- 4 3.50000+ 1 4.60000+ 1 1.16686- 5 1.89740- 4 3.50000+ 1 4.70000+ 1 1.02763- 4 1.90350- 4 3.50000+ 1 5.80000+ 1 7.67895- 5 1.88700- 4 3.60000+ 1 3.60000+ 1 4.73194- 4 1.87490- 4 3.60000+ 1 4.10000+ 1 3.17221- 3 1.43210- 4 3.60000+ 1 4.30000+ 1 2.32340- 3 1.61350- 4 3.60000+ 1 4.40000+ 1 5.03077- 3 1.70870- 4 3.60000+ 1 4.60000+ 1 9.86294- 5 1.90700- 4 3.60000+ 1 4.70000+ 1 9.59932- 5 1.91310- 4 3.60000+ 1 5.80000+ 1 1.98762- 4 1.89660- 4 4.10000+ 1 4.10000+ 1 2.28147- 4 9.89300- 5 4.10000+ 1 4.30000+ 1 3.88475- 4 1.17070- 4 4.10000+ 1 4.40000+ 1 1.76783- 3 1.26590- 4 4.10000+ 1 4.60000+ 1 2.79465- 5 1.46420- 4 4.10000+ 1 4.70000+ 1 4.44566- 5 1.47030- 4 4.10000+ 1 5.80000+ 1 3.69351- 5 1.45380- 4 4.30000+ 1 4.30000+ 1 1.61806- 7 1.35210- 4 4.30000+ 1 4.40000+ 1 1.52078- 3 1.44730- 4 4.30000+ 1 4.60000+ 1 7.92813- 6 1.64560- 4 4.30000+ 1 4.70000+ 1 2.86398- 5 1.65170- 4 4.30000+ 1 5.80000+ 1 1.95785- 5 1.63520- 4 4.40000+ 1 4.40000+ 1 1.54884- 3 1.54250- 4 4.40000+ 1 4.60000+ 1 6.77666- 5 1.74080- 4 4.40000+ 1 4.70000+ 1 8.46309- 5 1.74690- 4 4.40000+ 1 5.80000+ 1 1.55057- 4 1.73040- 4 1 93000 0 0 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 3.50000+ 1 1.71000+ 0 3.60000+ 1 2.29000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 4.60000+ 1 4.00000- 1 4.70000+ 1 6.00000- 1 5.80000+ 1 2.00000+ 0 1 93000 0 0 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.19200- 1 3.00000+ 0 2.24400- 2 5.00000+ 0 2.17020- 2 6.00000+ 0 1.76260- 2 8.00000+ 0 5.71220- 3 1.00000+ 1 5.36550- 3 1.10000+ 1 4.42160- 3 1.30000+ 1 3.85920- 3 1.40000+ 1 3.66810- 3 1.60000+ 1 1.47890- 3 1.80000+ 1 1.31950- 3 1.90000+ 1 1.07080- 3 2.10000+ 1 8.12940- 4 2.20000+ 1 7.67290- 4 2.40000+ 1 4.26750- 4 2.50000+ 1 4.14600- 4 2.70000+ 1 3.36250- 4 2.90000+ 1 2.72950- 4 3.00000+ 1 2.12560- 4 3.20000+ 1 1.18480- 4 3.30000+ 1 1.09470- 4 3.50000+ 1 1.01200- 5 3.60000+ 1 9.03000- 6 4.10000+ 1 5.43900- 5 4.30000+ 1 3.55200- 5 4.40000+ 1 2.52500- 5 4.60000+ 1 4.75000- 6 4.70000+ 1 4.11000- 6 5.80000+ 1 5.88000- 6 1 93000 0 0 2.37000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.80710- 1 3.00000+ 0 4.53050- 2 5.00000+ 0 4.53540- 2 6.00000+ 0 2.83720- 2 8.00000+ 0 1.45160- 2 1.00000+ 1 1.43810- 2 1.10000+ 1 1.00730- 2 1.30000+ 1 9.90360- 3 1.40000+ 1 9.11030- 3 1.60000+ 1 5.01980- 3 1.80000+ 1 4.86070- 3 1.90000+ 1 3.53160- 3 2.10000+ 1 3.28520- 3 2.20000+ 1 3.04360- 3 2.40000+ 1 2.68070- 3 2.50000+ 1 2.59820- 3 2.70000+ 1 1.58280- 3 2.90000+ 1 1.45520- 3 3.00000+ 1 1.06630- 3 3.20000+ 1 8.52160- 4 3.30000+ 1 7.87180- 4 3.50000+ 1 3.83000- 4 3.60000+ 1 3.64660- 4 4.10000+ 1 3.84280- 4 4.30000+ 1 3.07670- 4 4.40000+ 1 2.10710- 4 4.60000+ 1 8.44800- 5 4.70000+ 1 7.20400- 5 5.80000+ 1 4.67800- 5 1 93000 0 0 2.37000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.10530-11 3.00000+ 0 2.93560-10 5.00000+ 0 2.36990-10 6.00000+ 0 2.91780-10 8.00000+ 0 7.63820-10 1.00000+ 1 7.15940-10 1.10000+ 1 8.14410-10 1.30000+ 1 7.00880-10 1.40000+ 1 7.29840-10 1.60000+ 1 1.65580- 9 1.80000+ 1 1.64310- 9 1.90000+ 1 1.83580- 9 2.10000+ 1 1.81260- 9 2.20000+ 1 1.86940- 9 2.40000+ 1 1.79990- 9 2.50000+ 1 1.82730- 9 2.70000+ 1 3.42790- 9 2.90000+ 1 3.55340- 9 3.00000+ 1 3.96590- 9 3.20000+ 1 4.40610- 9 3.30000+ 1 4.54510- 9 3.50000+ 1 6.76550- 9 3.60000+ 1 6.94310- 9 4.10000+ 1 7.48380- 9 4.30000+ 1 8.31010- 9 4.40000+ 1 9.53040- 9 4.60000+ 1 1.51410- 8 4.70000+ 1 1.63460- 8 5.80000+ 1 2.09140- 8 1 93000 0 0 2.37000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.57060- 5 3.00000+ 0 2.58430- 6 5.00000+ 0 4.52930- 6 6.00000+ 0 3.77270- 6 8.00000+ 0 1.18200- 7 1.00000+ 1 1.29150- 7 1.10000+ 1 1.45000- 7 1.30000+ 1 1.90840- 7 1.40000+ 1 1.75390- 7 1.60000+ 1 6.66860- 9 1.80000+ 1 8.39520- 9 1.90000+ 1 5.76310- 9 2.10000+ 1 3.84600- 9 2.20000+ 1 2.92880- 9 2.40000+ 1 1.41800-10 2.50000+ 1 1.27890-10 2.70000+ 1 4.70180-10 2.90000+ 1 9.24090-10 3.00000+ 1 4.31880-10 1 93000 0 0 2.37000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.92350- 6 3.00000+ 0 1.34440- 5 5.00000+ 0 5.21590- 6 6.00000+ 0 4.44320- 6 8.00000+ 0 1.89490- 5 1.00000+ 1 1.50400- 5 1.10000+ 1 1.17530- 5 1.30000+ 1 3.47760- 6 1.40000+ 1 3.43870- 6 1.60000+ 1 1.42550- 5 1.80000+ 1 1.54060- 5 1.90000+ 1 9.51210- 6 2.10000+ 1 6.18060- 6 2.20000+ 1 6.68460- 6 2.40000+ 1 4.42510- 7 2.50000+ 1 3.64010- 7 2.70000+ 1 2.34190- 5 2.90000+ 1 9.95460- 6 3.00000+ 1 7.56570- 6 1 93000 0 0 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.75282- 4 3.00000+ 0 1.10185- 3 5.00000+ 0 8.17213- 4 6.00000+ 0 7.66527- 4 8.00000+ 0 8.26213- 4 1.00000+ 1 7.39746- 4 1.10000+ 1 6.49139- 4 1.30000+ 1 4.98787- 4 1.40000+ 1 4.89002- 4 1.60000+ 1 4.37357- 4 1.80000+ 1 4.24411- 4 1.90000+ 1 4.01786- 4 2.10000+ 1 3.20000- 4 2.20000+ 1 3.17031- 4 2.40000+ 1 1.92932- 4 2.50000+ 1 1.92550- 4 2.70000+ 1 2.08938- 4 2.90000+ 1 1.90666- 4 3.00000+ 1 1.27408- 4 3.20000+ 1 1.18480- 4 3.30000+ 1 1.09470- 4 3.50000+ 1 1.01200- 5 3.60000+ 1 9.03000- 6 4.10000+ 1 5.43900- 5 4.30000+ 1 3.55200- 5 4.40000+ 1 2.52500- 5 4.60000+ 1 4.75000- 6 4.70000+ 1 4.11000- 6 5.80000+ 1 5.88000- 6 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.44823+ 0 3.00000+ 0 5.94869- 1 5.00000+ 0 6.62651- 1 6.00000+ 0 5.37726- 1 8.00000+ 0 5.86507- 2 1.00000+ 1 5.98417- 2 1.10000+ 1 5.44764- 2 1.30000+ 1 6.27110- 2 1.40000+ 1 5.64331- 2 1.60000+ 1 1.93870- 3 1.80000+ 1 2.05173- 3 1.90000+ 1 1.36357- 3 2.10000+ 1 8.59427- 4 2.20000+ 1 7.34071- 4 2.40000+ 1 1.19749- 4 2.50000+ 1 1.04057- 4 2.70000+ 1 4.18161- 5 2.90000+ 1 5.39877- 5 3.00000+ 1 1.14470- 5 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.06869- 1 3.00000+ 0 8.13685- 3 5.00000+ 0 1.06755- 2 6.00000+ 0 6.98317- 3 8.00000+ 0 1.96989- 4 1.00000+ 1 2.02759- 4 1.10000+ 1 1.78739- 4 1.30000+ 1 2.09957- 4 1.40000+ 1 1.80541- 4 1.60000+ 1 1.34358- 6 1.80000+ 1 1.19856- 6 1.90000+ 1 7.89297- 7 2.10000+ 1 3.74921- 7 2.20000+ 1 3.02621- 7 2.40000+ 1 3.39885- 8 2.50000+ 1 2.96241- 8 2.70000+ 1 5.95563- 9 2.90000+ 1 8.73719- 9 3.00000+ 1 1.38229- 9 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.41345+ 0 3.00000+ 0 1.38101+ 1 5.00000+ 0 9.94621+ 0 6.00000+ 0 9.30193+ 0 8.00000+ 0 1.01969+ 1 1.00000+ 1 8.95470+ 0 1.10000+ 1 7.81171+ 0 1.30000+ 1 5.70489+ 0 1.40000+ 1 5.59004+ 0 1.60000+ 1 4.70590+ 0 1.80000+ 1 4.52657+ 0 1.90000+ 1 4.26845+ 0 2.10000+ 1 3.20191+ 0 2.20000+ 1 3.14600+ 0 2.40000+ 1 1.78945+ 0 2.50000+ 1 1.74288+ 0 2.70000+ 1 1.79844+ 0 2.90000+ 1 1.06152+ 0 3.00000+ 1 9.99989- 1 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.15553- 2 3.00000+ 0 1.32013- 2 5.00000+ 0 1.02092- 2 6.00000+ 0 9.87630- 3 8.00000+ 0 4.68900- 3 1.00000+ 1 4.42299- 3 1.10000+ 1 3.59372- 3 1.30000+ 1 3.15046- 3 1.40000+ 1 2.99856- 3 1.60000+ 1 1.04020- 3 1.80000+ 1 8.93890- 4 1.90000+ 1 6.68224- 4 2.10000+ 1 4.92565- 4 2.20000+ 1 4.49956- 4 2.40000+ 1 2.33784- 4 2.50000+ 1 2.22021- 4 2.70000+ 1 1.27306- 4 2.90000+ 1 8.22757- 5 3.00000+ 1 8.51504- 5 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.90152- 1 9.74980- 2 6.00000+ 0 4.61733- 1 1.01574- 1 1.00000+ 1 5.33993- 2 1.13834- 1 1.10000+ 1 1.04521- 1 1.14778- 1 1.30000+ 1 1.91211- 3 1.15341- 1 1.40000+ 1 2.16701- 3 1.15532- 1 1.80000+ 1 1.34061- 2 1.17880- 1 1.90000+ 1 2.72192- 2 1.18129- 1 2.10000+ 1 5.67604- 4 1.18387- 1 2.20000+ 1 6.45644- 4 1.18433- 1 2.90000+ 1 3.30102- 3 1.18927- 1 3.00000+ 1 6.58804- 3 1.18987- 1 3.20000+ 1 1.18421- 4 1.19082- 1 3.30000+ 1 1.33661- 4 1.19091- 1 4.30000+ 1 5.83154- 4 1.19164- 1 4.40000+ 1 1.09331- 3 1.19175- 1 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.81983- 3 7.43200- 2 3.00000+ 0 5.00000+ 0 7.07106- 3 7.50580- 2 3.00000+ 0 6.00000+ 0 2.59579- 3 7.91340- 2 3.00000+ 0 8.00000+ 0 1.59002- 3 9.10478- 2 3.00000+ 0 1.00000+ 1 1.55618- 3 9.13945- 2 3.00000+ 0 1.10000+ 1 6.44947- 4 9.23384- 2 3.00000+ 0 1.30000+ 1 5.65867- 5 9.29008- 2 3.00000+ 0 1.40000+ 1 3.50761- 5 9.30919- 2 3.00000+ 0 1.60000+ 1 4.23050- 4 9.52811- 2 3.00000+ 0 1.80000+ 1 4.07599- 4 9.54405- 2 3.00000+ 0 1.90000+ 1 1.71027- 4 9.56892- 2 3.00000+ 0 2.10000+ 1 1.68585- 5 9.59471- 2 3.00000+ 0 2.20000+ 1 1.03024- 5 9.59927- 2 3.00000+ 0 2.40000+ 1 6.04241- 8 9.63332- 2 3.00000+ 0 2.50000+ 1 6.04241- 8 9.63454- 2 3.00000+ 0 2.70000+ 1 1.09036- 4 9.64237- 2 3.00000+ 0 2.90000+ 1 9.89761- 5 9.64870- 2 3.00000+ 0 3.00000+ 1 4.10873- 5 9.65474- 2 3.00000+ 0 3.20000+ 1 3.47454- 6 9.66415- 2 3.00000+ 0 3.30000+ 1 2.08459- 6 9.66505- 2 5.00000+ 0 5.00000+ 0 2.50684- 4 7.57960- 2 5.00000+ 0 6.00000+ 0 4.17380- 3 7.98720- 2 5.00000+ 0 8.00000+ 0 1.30598- 3 9.17858- 2 5.00000+ 0 1.00000+ 1 9.75575- 5 9.21325- 2 5.00000+ 0 1.10000+ 1 8.82092- 4 9.30764- 2 5.00000+ 0 1.30000+ 1 5.68611- 5 9.36388- 2 5.00000+ 0 1.40000+ 1 1.26623- 4 9.38299- 2 5.00000+ 0 1.60000+ 1 3.38078- 4 9.60191- 2 5.00000+ 0 1.80000+ 1 2.49260- 5 9.61785- 2 5.00000+ 0 1.90000+ 1 2.24629- 4 9.64272- 2 5.00000+ 0 2.10000+ 1 1.61340- 5 9.66851- 2 5.00000+ 0 2.20000+ 1 3.63169- 5 9.67307- 2 5.00000+ 0 2.40000+ 1 5.13623- 7 9.70712- 2 5.00000+ 0 2.50000+ 1 7.55325- 7 9.70834- 2 5.00000+ 0 2.70000+ 1 8.65302- 5 9.71617- 2 5.00000+ 0 2.90000+ 1 6.01235- 6 9.72250- 2 5.00000+ 0 3.00000+ 1 5.34179- 5 9.72854- 2 5.00000+ 0 3.20000+ 1 3.29317- 6 9.73795- 2 5.00000+ 0 3.30000+ 1 7.34167- 6 9.73885- 2 6.00000+ 0 6.00000+ 0 1.68194- 3 8.39480- 2 6.00000+ 0 8.00000+ 0 4.24681- 4 9.58618- 2 6.00000+ 0 1.00000+ 1 7.59831- 4 9.62085- 2 6.00000+ 0 1.10000+ 1 7.32989- 4 9.71524- 2 6.00000+ 0 1.30000+ 1 1.36204- 4 9.77148- 2 6.00000+ 0 1.40000+ 1 1.07405- 4 9.79059- 2 6.00000+ 0 1.60000+ 1 1.06772- 4 1.00095- 1 6.00000+ 0 1.80000+ 1 1.90371- 4 1.00254- 1 6.00000+ 0 1.90000+ 1 1.88312- 4 1.00503- 1 6.00000+ 0 2.10000+ 1 3.92483- 5 1.00761- 1 6.00000+ 0 2.20000+ 1 3.09678- 5 1.00807- 1 6.00000+ 0 2.40000+ 1 7.55319- 7 1.01147- 1 6.00000+ 0 2.50000+ 1 7.85545- 7 1.01159- 1 6.00000+ 0 2.70000+ 1 2.71007- 5 1.01238- 1 6.00000+ 0 2.90000+ 1 4.57108- 5 1.01301- 1 6.00000+ 0 3.00000+ 1 4.48961- 5 1.01361- 1 6.00000+ 0 3.20000+ 1 8.00637- 6 1.01456- 1 6.00000+ 0 3.30000+ 1 6.25412- 6 1.01465- 1 8.00000+ 0 8.00000+ 0 1.63748- 4 1.07776- 1 8.00000+ 0 1.00000+ 1 2.88772- 4 1.08122- 1 8.00000+ 0 1.10000+ 1 1.06653- 4 1.09066- 1 8.00000+ 0 1.30000+ 1 9.09413- 6 1.09629- 1 8.00000+ 0 1.40000+ 1 5.28723- 6 1.09820- 1 8.00000+ 0 1.60000+ 1 8.69843- 5 1.12009- 1 8.00000+ 0 1.80000+ 1 7.57141- 5 1.12168- 1 8.00000+ 0 1.90000+ 1 2.83701- 5 1.12417- 1 8.00000+ 0 2.10000+ 1 2.71917- 6 1.12675- 1 8.00000+ 0 2.20000+ 1 1.54078- 6 1.12721- 1 8.00000+ 0 2.70000+ 1 2.24179- 5 1.13152- 1 8.00000+ 0 2.90000+ 1 1.83998- 5 1.13215- 1 8.00000+ 0 3.00000+ 1 6.82812- 6 1.13275- 1 8.00000+ 0 3.20000+ 1 5.43847- 7 1.13369- 1 8.00000+ 0 3.30000+ 1 3.02135- 7 1.13378- 1 1.00000+ 1 1.00000+ 1 8.97348- 6 1.08469- 1 1.00000+ 1 1.10000+ 1 1.66169- 4 1.09413- 1 1.00000+ 1 1.30000+ 1 9.63791- 6 1.09975- 1 1.00000+ 1 1.40000+ 1 1.71612- 5 1.10166- 1 1.00000+ 1 1.60000+ 1 7.47769- 5 1.12356- 1 1.00000+ 1 1.80000+ 1 4.53180- 6 1.12515- 1 1.00000+ 1 1.90000+ 1 4.26305- 5 1.12764- 1 1.00000+ 1 2.10000+ 1 2.77964- 6 1.13022- 1 1.00000+ 1 2.20000+ 1 4.98531- 6 1.13067- 1 1.00000+ 1 2.40000+ 1 6.04258- 8 1.13408- 1 1.00000+ 1 2.50000+ 1 9.06404- 8 1.13420- 1 1.00000+ 1 2.70000+ 1 1.91249- 5 1.13498- 1 1.00000+ 1 2.90000+ 1 1.08766- 6 1.13562- 1 1.00000+ 1 3.00000+ 1 1.01518- 5 1.13622- 1 1.00000+ 1 3.20000+ 1 5.74032- 7 1.13716- 1 1.00000+ 1 3.30000+ 1 9.97030- 7 1.13725- 1 1.10000+ 1 1.10000+ 1 8.09388- 5 1.10357- 1 1.10000+ 1 1.30000+ 1 2.42903- 5 1.10919- 1 1.10000+ 1 1.40000+ 1 1.83995- 5 1.11110- 1 1.10000+ 1 1.60000+ 1 2.68584- 5 1.13299- 1 1.10000+ 1 1.80000+ 1 4.19353- 5 1.13459- 1 1.10000+ 1 1.90000+ 1 4.17239- 5 1.13708- 1 1.10000+ 1 2.10000+ 1 7.06981- 6 1.13965- 1 1.10000+ 1 2.20000+ 1 5.34748- 6 1.14011- 1 1.10000+ 1 2.40000+ 1 1.20849- 7 1.14352- 1 1.10000+ 1 2.50000+ 1 1.20849- 7 1.14364- 1 1.10000+ 1 2.70000+ 1 6.82801- 6 1.14442- 1 1.10000+ 1 2.90000+ 1 1.00909- 5 1.14505- 1 1.10000+ 1 3.00000+ 1 9.93997- 6 1.14566- 1 1.10000+ 1 3.20000+ 1 1.45019- 6 1.14660- 1 1.10000+ 1 3.30000+ 1 1.08764- 6 1.14669- 1 1.30000+ 1 1.30000+ 1 6.04239- 8 1.11482- 1 1.30000+ 1 1.40000+ 1 2.56797- 6 1.11673- 1 1.30000+ 1 1.60000+ 1 2.29605- 6 1.13862- 1 1.30000+ 1 1.80000+ 1 2.38673- 6 1.14021- 1 1.30000+ 1 1.90000+ 1 5.95182- 6 1.14270- 1 1.30000+ 1 2.10000+ 1 3.02126- 8 1.14528- 1 1.30000+ 1 2.20000+ 1 7.25087- 7 1.14574- 1 1.30000+ 1 2.70000+ 1 5.74014- 7 1.15005- 1 1.30000+ 1 2.90000+ 1 5.74014- 7 1.15068- 1 1.30000+ 1 3.00000+ 1 1.38972- 6 1.15128- 1 1.30000+ 1 3.30000+ 1 1.51062- 7 1.15231- 1 1.40000+ 1 1.40000+ 1 6.04239- 7 1.11864- 1 1.40000+ 1 1.60000+ 1 1.32938- 6 1.14053- 1 1.40000+ 1 1.80000+ 1 4.01816- 6 1.14212- 1 1.40000+ 1 1.90000+ 1 4.47132- 6 1.14461- 1 1.40000+ 1 2.10000+ 1 6.94894- 7 1.14719- 1 1.40000+ 1 2.20000+ 1 3.32319- 7 1.14765- 1 1.40000+ 1 2.70000+ 1 3.32319- 7 1.15196- 1 1.40000+ 1 2.90000+ 1 9.36558- 7 1.15259- 1 1.40000+ 1 3.00000+ 1 1.05741- 6 1.15319- 1 1.40000+ 1 3.20000+ 1 1.51062- 7 1.15413- 1 1.40000+ 1 3.30000+ 1 6.04239- 8 1.15422- 1 1.60000+ 1 1.60000+ 1 1.15408- 5 1.16242- 1 1.60000+ 1 1.80000+ 1 1.96089- 5 1.16402- 1 1.60000+ 1 1.90000+ 1 7.16049- 6 1.16650- 1 1.60000+ 1 2.10000+ 1 6.94913- 7 1.16908- 1 1.60000+ 1 2.20000+ 1 3.92769- 7 1.16954- 1 1.60000+ 1 2.70000+ 1 5.95198- 6 1.17385- 1 1.60000+ 1 2.90000+ 1 4.77371- 6 1.17448- 1 1.60000+ 1 3.00000+ 1 1.72213- 6 1.17509- 1 1.60000+ 1 3.20000+ 1 1.51066- 7 1.17603- 1 1.60000+ 1 3.30000+ 1 9.06400- 8 1.17612- 1 1.80000+ 1 1.80000+ 1 5.74034- 7 1.16561- 1 1.80000+ 1 1.90000+ 1 1.07861- 5 1.16810- 1 1.80000+ 1 2.10000+ 1 6.94919- 7 1.17068- 1 1.80000+ 1 2.20000+ 1 1.17830- 6 1.17113- 1 1.80000+ 1 2.40000+ 1 3.02137- 8 1.17454- 1 1.80000+ 1 2.50000+ 1 3.02137- 8 1.17466- 1 1.80000+ 1 2.70000+ 1 5.01555- 6 1.17544- 1 1.80000+ 1 2.90000+ 1 2.71919- 7 1.17608- 1 1.80000+ 1 3.00000+ 1 2.56806- 6 1.17668- 1 1.80000+ 1 3.20000+ 1 1.51067- 7 1.17762- 1 1.80000+ 1 3.30000+ 1 2.41714- 7 1.17771- 1 1.90000+ 1 1.90000+ 1 5.37782- 6 1.17058- 1 1.90000+ 1 2.10000+ 1 1.72214- 6 1.17316- 1 1.90000+ 1 2.20000+ 1 1.29919- 6 1.17362- 1 1.90000+ 1 2.40000+ 1 3.02136- 8 1.17702- 1 1.90000+ 1 2.50000+ 1 3.02136- 8 1.17715- 1 1.90000+ 1 2.70000+ 1 1.81271- 6 1.17793- 1 1.90000+ 1 2.90000+ 1 2.59828- 6 1.17856- 1 1.90000+ 1 3.00000+ 1 2.56805- 6 1.17917- 1 1.90000+ 1 3.20000+ 1 3.62556- 7 1.18011- 1 1.90000+ 1 3.30000+ 1 2.71918- 7 1.18020- 1 2.10000+ 1 2.20000+ 1 2.11487- 7 1.17620- 1 2.10000+ 1 2.70000+ 1 1.81271- 7 1.18051- 1 2.10000+ 1 2.90000+ 1 1.51067- 7 1.18114- 1 2.10000+ 1 3.00000+ 1 4.22998- 7 1.18175- 1 2.10000+ 1 3.30000+ 1 3.02136- 8 1.18278- 1 2.20000+ 1 2.20000+ 1 6.18180- 8 1.17665- 1 2.20000+ 1 2.70000+ 1 9.27286- 8 1.18096- 1 2.20000+ 1 2.90000+ 1 2.78183- 7 1.18160- 1 2.20000+ 1 3.00000+ 1 3.09096- 7 1.18220- 1 2.20000+ 1 3.20000+ 1 3.09096- 8 1.18314- 1 2.20000+ 1 3.30000+ 1 3.09096- 8 1.18323- 1 2.70000+ 1 2.70000+ 1 7.55835- 7 1.18527- 1 2.70000+ 1 2.90000+ 1 1.20933- 6 1.18591- 1 2.70000+ 1 3.00000+ 1 4.23284- 7 1.18651- 1 2.70000+ 1 3.20000+ 1 3.02340- 8 1.18745- 1 2.70000+ 1 3.30000+ 1 3.02340- 8 1.18754- 1 2.90000+ 1 2.90000+ 1 3.02137- 8 1.18654- 1 2.90000+ 1 3.00000+ 1 6.04261- 7 1.18714- 1 2.90000+ 1 3.20000+ 1 3.02137- 8 1.18809- 1 2.90000+ 1 3.30000+ 1 6.04261- 8 1.18818- 1 3.00000+ 1 3.00000+ 1 3.02130- 7 1.18775- 1 3.00000+ 1 3.20000+ 1 9.06386- 8 1.18869- 1 3.00000+ 1 3.30000+ 1 6.04246- 8 1.18878- 1 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.29329- 5 7.38000- 4 6.00000+ 0 9.39825- 3 4.81400- 3 1.00000+ 1 5.66597- 2 1.70745- 2 1.10000+ 1 4.79137- 2 1.80184- 2 1.30000+ 1 2.67989- 3 1.85808- 2 1.40000+ 1 3.99118- 3 1.87719- 2 1.80000+ 1 1.53669- 2 2.11205- 2 1.90000+ 1 1.49699- 2 2.13692- 2 2.10000+ 1 4.60668- 4 2.16271- 2 2.20000+ 1 7.39416- 4 2.16727- 2 2.90000+ 1 3.77308- 3 2.21670- 2 3.00000+ 1 3.73248- 3 2.22274- 2 3.20000+ 1 8.47006- 5 2.23215- 2 3.30000+ 1 1.37419- 4 2.23305- 2 4.30000+ 1 6.74286- 4 2.24045- 2 4.40000+ 1 6.34827- 4 2.24147- 2 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.20000+ 1 5.27664- 3 0.00000+ 0 5.00000+ 0 2.40000+ 1 1.25958- 2 3.11250- 4 5.00000+ 0 2.50000+ 1 1.68368- 2 3.23400- 4 5.00000+ 0 2.70000+ 1 5.20324- 3 4.01750- 4 5.00000+ 0 2.90000+ 1 4.22856- 3 4.65050- 4 5.00000+ 0 3.00000+ 1 3.32396- 3 5.25440- 4 5.00000+ 0 3.20000+ 1 8.95221- 4 6.19520- 4 5.00000+ 0 3.30000+ 1 1.12849- 3 6.28530- 4 6.00000+ 0 1.10000+ 1 3.52637- 2 3.92400- 4 6.00000+ 0 1.30000+ 1 2.02898- 1 9.54800- 4 6.00000+ 0 1.40000+ 1 2.43838- 1 1.14590- 3 6.00000+ 0 1.60000+ 1 1.66929- 2 3.33510- 3 6.00000+ 0 1.80000+ 1 6.48426- 3 3.49450- 3 6.00000+ 0 1.90000+ 1 9.01934- 3 3.74320- 3 6.00000+ 0 2.10000+ 1 3.21627- 2 4.00106- 3 6.00000+ 0 2.20000+ 1 3.69077- 2 4.04671- 3 6.00000+ 0 2.40000+ 1 1.91348- 2 4.38725- 3 6.00000+ 0 2.50000+ 1 2.33448- 2 4.39940- 3 6.00000+ 0 2.70000+ 1 4.05858- 3 4.47775- 3 6.00000+ 0 2.90000+ 1 1.55489- 3 4.54105- 3 6.00000+ 0 3.00000+ 1 2.15008- 3 4.60144- 3 6.00000+ 0 3.20000+ 1 5.95647- 3 4.69552- 3 6.00000+ 0 3.30000+ 1 6.70016- 3 4.70453- 3 8.00000+ 0 8.00000+ 0 5.51599- 3 1.10156- 2 8.00000+ 0 1.00000+ 1 1.16029- 2 1.13623- 2 8.00000+ 0 1.10000+ 1 1.60819- 2 1.23062- 2 8.00000+ 0 1.30000+ 1 1.12899- 2 1.28686- 2 8.00000+ 0 1.40000+ 1 1.35309- 2 1.30597- 2 8.00000+ 0 1.60000+ 1 2.49938- 3 1.52489- 2 8.00000+ 0 1.80000+ 1 3.01058- 3 1.54083- 2 8.00000+ 0 1.90000+ 1 4.16168- 3 1.56570- 2 8.00000+ 0 2.10000+ 1 2.77778- 3 1.59149- 2 8.00000+ 0 2.20000+ 1 3.32018- 3 1.59605- 2 8.00000+ 0 2.40000+ 1 2.57368- 4 1.63010- 2 8.00000+ 0 2.50000+ 1 2.65178- 4 1.63132- 2 8.00000+ 0 2.70000+ 1 6.25598- 4 1.63915- 2 8.00000+ 0 2.90000+ 1 7.28288- 4 1.64548- 2 8.00000+ 0 3.00000+ 1 9.92606- 4 1.65152- 2 8.00000+ 0 3.20000+ 1 5.49209- 4 1.66093- 2 8.00000+ 0 3.30000+ 1 6.50058- 4 1.66183- 2 1.00000+ 1 1.00000+ 1 1.27332- 5 1.17090- 2 1.00000+ 1 1.10000+ 1 2.13573- 4 1.26529- 2 1.00000+ 1 1.30000+ 1 7.52952- 4 1.32153- 2 1.00000+ 1 1.40000+ 1 5.21018- 3 1.34064- 2 1.00000+ 1 1.60000+ 1 2.08603- 3 1.55956- 2 1.00000+ 1 1.80000+ 1 1.52802- 6 1.57550- 2 1.00000+ 1 1.90000+ 1 4.41417- 5 1.60037- 2 1.00000+ 1 2.10000+ 1 1.54152- 4 1.62616- 2 1.00000+ 1 2.20000+ 1 8.26264- 4 1.63072- 2 1.00000+ 1 2.40000+ 1 9.82976- 5 1.66477- 2 1.00000+ 1 2.50000+ 1 3.37675- 4 1.66599- 2 1.00000+ 1 2.70000+ 1 4.90138- 4 1.67382- 2 1.00000+ 1 2.90000+ 1 3.39555- 7 1.68015- 2 1.00000+ 1 3.00000+ 1 1.00171- 5 1.68619- 2 1.00000+ 1 3.20000+ 1 2.98804- 5 1.69560- 2 1.00000+ 1 3.30000+ 1 1.48042- 4 1.69650- 2 1.10000+ 1 1.10000+ 1 7.31733- 4 1.35968- 2 1.10000+ 1 1.30000+ 1 1.42350- 3 1.41592- 2 1.10000+ 1 1.40000+ 1 8.82483- 4 1.43503- 2 1.10000+ 1 1.60000+ 1 2.79610- 3 1.65395- 2 1.10000+ 1 1.80000+ 1 5.70442- 5 1.66989- 2 1.10000+ 1 1.90000+ 1 2.96420- 4 1.69476- 2 1.10000+ 1 2.10000+ 1 1.62640- 4 1.72055- 2 1.10000+ 1 2.20000+ 1 7.31733- 5 1.72511- 2 1.10000+ 1 2.40000+ 1 1.06620- 4 1.75916- 2 1.10000+ 1 2.50000+ 1 9.33733- 5 1.76038- 2 1.10000+ 1 2.70000+ 1 6.51553- 4 1.76821- 2 1.10000+ 1 2.90000+ 1 1.37520- 5 1.77455- 2 1.10000+ 1 3.00000+ 1 6.70583- 5 1.78058- 2 1.10000+ 1 3.20000+ 1 2.75030- 5 1.78999- 2 1.10000+ 1 3.30000+ 1 1.12050- 5 1.79089- 2 1.30000+ 1 1.30000+ 1 6.33764- 4 1.47216- 2 1.30000+ 1 1.40000+ 1 1.73688- 2 1.49127- 2 1.30000+ 1 1.60000+ 1 1.76018- 3 1.71019- 2 1.30000+ 1 1.80000+ 1 2.27667- 4 1.72613- 2 1.30000+ 1 1.90000+ 1 3.93026- 4 1.75100- 2 1.30000+ 1 2.10000+ 1 3.03716- 4 1.77679- 2 1.30000+ 1 2.20000+ 1 2.97696- 3 1.78135- 2 1.30000+ 1 2.40000+ 1 2.51097- 4 1.81540- 2 1.30000+ 1 2.50000+ 1 6.79434- 4 1.81662- 2 1.30000+ 1 2.70000+ 1 3.99636- 4 1.82445- 2 1.30000+ 1 2.90000+ 1 5.70435- 5 1.83078- 2 1.30000+ 1 3.00000+ 1 9.59210- 5 1.83682- 2 1.30000+ 1 3.20000+ 1 5.99295- 5 1.84623- 2 1.30000+ 1 3.30000+ 1 5.39695- 4 1.84713- 2 1.40000+ 1 1.40000+ 1 4.71332- 3 1.51038- 2 1.40000+ 1 1.60000+ 1 2.14210- 3 1.72930- 2 1.40000+ 1 1.80000+ 1 1.18570- 3 1.74524- 2 1.40000+ 1 1.90000+ 1 2.31910- 4 1.77011- 2 1.40000+ 1 2.10000+ 1 2.84090- 3 1.79590- 2 1.40000+ 1 2.20000+ 1 1.70390- 3 1.80046- 2 1.40000+ 1 2.40000+ 1 7.43953- 4 1.83451- 2 1.40000+ 1 2.50000+ 1 5.49043- 4 1.83573- 2 1.40000+ 1 2.70000+ 1 4.89962- 4 1.84356- 2 1.40000+ 1 2.90000+ 1 2.78940- 4 1.84989- 2 1.40000+ 1 3.00000+ 1 5.65343- 5 1.85593- 2 1.40000+ 1 3.20000+ 1 5.14582- 4 1.86534- 2 1.40000+ 1 3.30000+ 1 3.13061- 4 1.86624- 2 1.60000+ 1 1.60000+ 1 2.67562- 4 1.94822- 2 1.60000+ 1 1.80000+ 1 5.42767- 4 1.96416- 2 1.60000+ 1 1.90000+ 1 7.28188- 4 1.98903- 2 1.60000+ 1 2.10000+ 1 4.36825- 4 2.01482- 2 1.60000+ 1 2.20000+ 1 5.26125- 4 2.01938- 2 1.60000+ 1 2.40000+ 1 3.39553- 5 2.05343- 2 1.60000+ 1 2.50000+ 1 3.29363- 5 2.05465- 2 1.60000+ 1 2.70000+ 1 1.32251- 4 2.06248- 2 1.60000+ 1 2.90000+ 1 1.31401- 4 2.06881- 2 1.60000+ 1 3.00000+ 1 1.73841- 4 2.07485- 2 1.60000+ 1 3.20000+ 1 8.65799- 5 2.08426- 2 1.60000+ 1 3.30000+ 1 1.03051- 4 2.08516- 2 1.80000+ 1 1.90000+ 1 1.17139- 5 2.00497- 2 1.80000+ 1 2.10000+ 1 4.26127- 5 2.03076- 2 1.80000+ 1 2.20000+ 1 1.96418- 4 2.03532- 2 1.80000+ 1 2.40000+ 1 1.42609- 5 2.06937- 2 1.80000+ 1 2.50000+ 1 5.53457- 5 2.07059- 2 1.80000+ 1 2.70000+ 1 1.27489- 4 2.07842- 2 1.80000+ 1 3.00000+ 1 2.71637- 6 2.09079- 2 1.80000+ 1 3.20000+ 1 7.97925- 6 2.10020- 2 1.80000+ 1 3.30000+ 1 3.54817- 5 2.10110- 2 1.90000+ 1 1.90000+ 1 2.88606- 5 2.02984- 2 1.90000+ 1 2.10000+ 1 4.51585- 5 2.05563- 2 1.90000+ 1 2.20000+ 1 2.08817- 5 2.06019- 2 1.90000+ 1 2.40000+ 1 2.58046- 5 2.09424- 2 1.90000+ 1 2.50000+ 1 2.17307- 5 2.09546- 2 1.90000+ 1 2.70000+ 1 1.69778- 4 2.10329- 2 1.90000+ 1 2.90000+ 1 2.88606- 6 2.10962- 2 1.90000+ 1 3.00000+ 1 1.29028- 5 2.11566- 2 1.90000+ 1 3.20000+ 1 7.47001- 6 2.12507- 2 1.90000+ 1 3.30000+ 1 3.22565- 6 2.12597- 2 2.10000+ 1 2.10000+ 1 3.36143- 5 2.08141- 2 2.10000+ 1 2.20000+ 1 5.33241- 4 2.08598- 2 2.10000+ 1 2.40000+ 1 4.17633- 5 2.12003- 2 2.10000+ 1 2.50000+ 1 8.48825- 5 2.12125- 2 2.10000+ 1 2.70000+ 1 9.93092- 5 2.12908- 2 2.10000+ 1 2.90000+ 1 1.05258- 5 2.13541- 2 2.10000+ 1 3.00000+ 1 1.12048- 5 2.14145- 2 2.10000+ 1 3.20000+ 1 1.30717- 5 2.15086- 2 2.10000+ 1 3.30000+ 1 9.84622- 5 2.15176- 2 2.20000+ 1 2.20000+ 1 1.65188- 4 2.09054- 2 2.20000+ 1 2.40000+ 1 9.99983- 5 2.12460- 2 2.20000+ 1 2.50000+ 1 8.14894- 5 2.12581- 2 2.20000+ 1 2.70000+ 1 1.20199- 4 2.13365- 2 2.20000+ 1 2.90000+ 1 4.65167- 5 2.13998- 2 2.20000+ 1 3.00000+ 1 5.26286- 6 2.14601- 2 2.20000+ 1 3.20000+ 1 9.82953- 5 2.15542- 2 2.20000+ 1 3.30000+ 1 6.14566- 5 2.15632- 2 2.40000+ 1 2.40000+ 1 1.18839- 6 2.15865- 2 2.40000+ 1 2.50000+ 1 2.22398- 5 2.15986- 2 2.40000+ 1 2.70000+ 1 7.47005- 6 2.16770- 2 2.40000+ 1 2.90000+ 1 3.05587- 6 2.17403- 2 2.40000+ 1 3.00000+ 1 5.94196- 6 2.18007- 2 2.40000+ 1 3.20000+ 1 7.63975- 6 2.18948- 2 2.40000+ 1 3.30000+ 1 1.73168- 5 2.19038- 2 2.50000+ 1 2.50000+ 1 4.75360- 6 2.16108- 2 2.50000+ 1 2.70000+ 1 7.13010- 6 2.16891- 2 2.50000+ 1 2.90000+ 1 1.20540- 5 2.17524- 2 2.50000+ 1 3.00000+ 1 5.09310- 6 2.18128- 2 2.50000+ 1 3.20000+ 1 1.46010- 5 2.19069- 2 2.50000+ 1 3.30000+ 1 1.44300- 5 2.19159- 2 2.70000+ 1 2.70000+ 1 1.70398- 5 2.17675- 2 2.70000+ 1 2.90000+ 1 3.23043- 5 2.18308- 2 2.70000+ 1 3.00000+ 1 4.24229- 5 2.18912- 2 2.70000+ 1 3.20000+ 1 2.05903- 5 2.19853- 2 2.70000+ 1 3.30000+ 1 2.46720- 5 2.19943- 2 2.90000+ 1 3.00000+ 1 7.09444- 7 2.19545- 2 2.90000+ 1 3.20000+ 1 2.12842- 6 2.20486- 2 2.90000+ 1 3.30000+ 1 8.86807- 6 2.20576- 2 3.00000+ 1 3.00000+ 1 1.89317- 6 2.20149- 2 3.00000+ 1 3.20000+ 1 2.31380- 6 2.21090- 2 3.00000+ 1 3.30000+ 1 1.05170- 6 2.21180- 2 3.20000+ 1 3.20000+ 1 1.18837- 6 2.22030- 2 3.20000+ 1 3.30000+ 1 1.81645- 5 2.22120- 2 3.30000+ 1 3.30000+ 1 5.84577- 6 2.22211- 2 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 4.11687- 5 4.07600- 3 8.00000+ 0 1.03749- 2 1.59898- 2 1.10000+ 1 5.44836- 4 1.72804- 2 1.30000+ 1 3.66977- 1 1.78428- 2 1.60000+ 1 2.82728- 3 2.02231- 2 1.90000+ 1 1.65929- 4 2.06312- 2 2.10000+ 1 8.38804- 2 2.08891- 2 2.40000+ 1 5.37876- 4 2.12752- 2 2.70000+ 1 7.34224- 4 2.13657- 2 3.00000+ 1 4.11537- 5 2.14894- 2 3.20000+ 1 1.65729- 2 2.15835- 2 3.50000+ 1 1.76409- 5 2.16919- 2 4.10000+ 1 1.51759- 4 2.16476- 2 4.40000+ 1 6.84665- 6 2.16767- 2 5.80000+ 1 1.63409- 5 2.16961- 2 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.30000+ 1 1.08817- 1 2.16800- 4 6.00000+ 0 1.40000+ 1 3.50409- 2 4.07900- 4 6.00000+ 0 1.60000+ 1 2.96770- 3 2.59710- 3 6.00000+ 0 1.80000+ 1 2.49873- 2 2.75650- 3 6.00000+ 0 1.90000+ 1 5.72593- 3 3.00520- 3 6.00000+ 0 2.10000+ 1 2.14126- 2 3.26306- 3 6.00000+ 0 2.20000+ 1 7.22355- 3 3.30871- 3 6.00000+ 0 2.40000+ 1 1.08150- 3 3.64925- 3 6.00000+ 0 2.50000+ 1 1.54437- 3 3.66140- 3 6.00000+ 0 2.70000+ 1 7.02182- 4 3.73975- 3 6.00000+ 0 2.90000+ 1 5.48343- 3 3.80305- 3 6.00000+ 0 3.00000+ 1 1.32429- 3 3.86344- 3 6.00000+ 0 3.20000+ 1 4.04620- 3 3.95752- 3 6.00000+ 0 3.30000+ 1 1.37181- 3 3.96653- 3 8.00000+ 0 8.00000+ 0 3.38830- 4 1.02776- 2 8.00000+ 0 1.00000+ 1 1.44677- 2 1.06243- 2 8.00000+ 0 1.10000+ 1 1.25771- 3 1.15682- 2 8.00000+ 0 1.30000+ 1 2.78042- 3 1.21306- 2 8.00000+ 0 1.40000+ 1 9.41755- 4 1.23217- 2 8.00000+ 0 1.60000+ 1 1.37045- 4 1.45109- 2 8.00000+ 0 1.80000+ 1 2.47967- 3 1.46703- 2 8.00000+ 0 1.90000+ 1 2.93230- 4 1.49190- 2 8.00000+ 0 2.10000+ 1 4.88002- 4 1.51769- 2 8.00000+ 0 2.20000+ 1 1.40552- 4 1.52225- 2 8.00000+ 0 2.40000+ 1 5.88102- 5 1.55630- 2 8.00000+ 0 2.50000+ 1 4.37019- 5 1.55752- 2 8.00000+ 0 2.70000+ 1 3.31807- 5 1.56535- 2 8.00000+ 0 2.90000+ 1 5.46529- 4 1.57168- 2 8.00000+ 0 3.00000+ 1 6.82523- 5 1.57772- 2 8.00000+ 0 3.20000+ 1 9.03746- 5 1.58713- 2 8.00000+ 0 3.30000+ 1 2.50884- 5 1.58803- 2 1.00000+ 1 1.00000+ 1 1.55347- 2 1.09710- 2 1.00000+ 1 1.10000+ 1 3.44025- 2 1.19149- 2 1.00000+ 1 1.30000+ 1 1.72960- 2 1.24773- 2 1.00000+ 1 1.40000+ 1 2.16737- 2 1.26684- 2 1.00000+ 1 1.60000+ 1 3.93995- 3 1.48576- 2 1.00000+ 1 1.80000+ 1 6.77628- 3 1.50170- 2 1.00000+ 1 1.90000+ 1 8.73407- 3 1.52657- 2 1.00000+ 1 2.10000+ 1 4.24033- 3 1.55236- 2 1.00000+ 1 2.20000+ 1 5.34078- 3 1.55692- 2 1.00000+ 1 2.40000+ 1 3.40992- 4 1.59097- 2 1.00000+ 1 2.50000+ 1 2.71923- 4 1.59219- 2 1.00000+ 1 2.70000+ 1 1.01997- 3 1.60002- 2 1.00000+ 1 2.90000+ 1 1.58709- 3 1.60635- 2 1.00000+ 1 3.00000+ 1 2.07481- 3 1.61239- 2 1.00000+ 1 3.20000+ 1 8.38704- 4 1.62180- 2 1.00000+ 1 3.30000+ 1 1.04731- 3 1.62270- 2 1.10000+ 1 1.10000+ 1 6.88181- 4 1.28588- 2 1.10000+ 1 1.30000+ 1 1.29068- 2 1.34212- 2 1.10000+ 1 1.40000+ 1 2.00632- 3 1.36123- 2 1.10000+ 1 1.60000+ 1 2.84609- 4 1.58015- 2 1.10000+ 1 1.80000+ 1 5.91895- 3 1.59609- 2 1.10000+ 1 1.90000+ 1 3.02677- 4 1.62096- 2 1.10000+ 1 2.10000+ 1 2.70880- 3 1.64675- 2 1.10000+ 1 2.20000+ 1 4.10054- 4 1.65131- 2 1.10000+ 1 2.40000+ 1 1.06828- 4 1.68536- 2 1.10000+ 1 2.50000+ 1 5.28756- 5 1.68658- 2 1.10000+ 1 2.70000+ 1 7.04104- 5 1.69441- 2 1.10000+ 1 2.90000+ 1 1.30431- 3 1.70074- 2 1.10000+ 1 3.00000+ 1 6.96036- 5 1.70678- 2 1.10000+ 1 3.20000+ 1 5.17945- 4 1.71619- 2 1.10000+ 1 3.30000+ 1 7.74225- 5 1.71709- 2 1.30000+ 1 1.30000+ 1 1.22582- 2 1.39836- 2 1.30000+ 1 1.40000+ 1 4.68736- 2 1.41747- 2 1.30000+ 1 1.60000+ 1 7.58593- 4 1.63639- 2 1.30000+ 1 1.80000+ 1 2.85569- 3 1.65233- 2 1.30000+ 1 1.90000+ 1 3.00572- 3 1.67720- 2 1.30000+ 1 2.10000+ 1 4.98127- 3 1.70299- 2 1.30000+ 1 2.20000+ 1 1.02970- 2 1.70755- 2 1.30000+ 1 2.40000+ 1 1.06449- 3 1.74160- 2 1.30000+ 1 2.50000+ 1 2.10819- 3 1.74282- 2 1.30000+ 1 2.70000+ 1 1.96925- 4 1.75065- 2 1.30000+ 1 2.90000+ 1 6.29625- 4 1.75698- 2 1.30000+ 1 3.00000+ 1 7.00056- 4 1.76302- 2 1.30000+ 1 3.20000+ 1 9.51984- 4 1.77243- 2 1.30000+ 1 3.30000+ 1 1.97196- 3 1.77333- 2 1.40000+ 1 1.40000+ 1 2.29075- 3 1.43658- 2 1.40000+ 1 1.60000+ 1 2.06633- 4 1.65550- 2 1.40000+ 1 1.80000+ 1 3.12762- 3 1.67144- 2 1.40000+ 1 1.90000+ 1 4.31884- 4 1.69631- 2 1.40000+ 1 2.10000+ 1 7.81849- 3 1.72210- 2 1.40000+ 1 2.20000+ 1 9.19609- 4 1.72666- 2 1.40000+ 1 2.40000+ 1 4.23797- 4 1.76071- 2 1.40000+ 1 2.50000+ 1 1.60780- 4 1.76193- 2 1.40000+ 1 2.70000+ 1 5.09849- 5 1.76976- 2 1.40000+ 1 2.90000+ 1 6.60902- 4 1.77609- 2 1.40000+ 1 3.00000+ 1 9.87377- 5 1.78213- 2 1.40000+ 1 3.20000+ 1 1.42695- 3 1.79154- 2 1.40000+ 1 3.30000+ 1 1.73727- 4 1.79244- 2 1.60000+ 1 1.60000+ 1 1.32187- 5 1.87442- 2 1.60000+ 1 1.80000+ 1 6.79012- 4 1.89036- 2 1.60000+ 1 1.90000+ 1 6.66346- 5 1.91523- 2 1.60000+ 1 2.10000+ 1 1.30574- 4 1.94102- 2 1.60000+ 1 2.20000+ 1 3.04837- 5 1.94558- 2 1.60000+ 1 2.40000+ 1 1.37577- 5 1.97963- 2 1.60000+ 1 2.50000+ 1 8.36270- 6 1.98085- 2 1.60000+ 1 2.70000+ 1 6.47467- 6 1.98868- 2 1.60000+ 1 2.90000+ 1 1.49722- 4 1.99501- 2 1.60000+ 1 3.00000+ 1 1.56466- 5 2.00105- 2 1.60000+ 1 3.20000+ 1 2.40094- 5 2.01046- 2 1.60000+ 1 3.30000+ 1 5.39549- 6 2.01136- 2 1.80000+ 1 1.80000+ 1 7.02491- 4 1.90630- 2 1.80000+ 1 1.90000+ 1 1.50881- 3 1.93117- 2 1.80000+ 1 2.10000+ 1 6.90346- 4 1.95696- 2 1.80000+ 1 2.20000+ 1 7.79384- 4 1.96152- 2 1.80000+ 1 2.40000+ 1 4.63999- 5 1.99557- 2 1.80000+ 1 2.50000+ 1 2.83254- 5 1.99679- 2 1.80000+ 1 2.70000+ 1 1.75885- 4 2.00462- 2 1.80000+ 1 2.90000+ 1 3.25338- 4 2.01095- 2 1.80000+ 1 3.00000+ 1 3.58524- 4 2.01699- 2 1.80000+ 1 3.20000+ 1 1.36226- 4 2.02640- 2 1.80000+ 1 3.30000+ 1 1.53229- 4 2.02730- 2 1.90000+ 1 1.90000+ 1 3.34505- 5 1.95604- 2 1.90000+ 1 2.10000+ 1 6.34735- 4 1.98183- 2 1.90000+ 1 2.20000+ 1 8.92919- 5 1.98639- 2 1.90000+ 1 2.40000+ 1 2.26602- 5 2.02044- 2 1.90000+ 1 2.50000+ 1 1.02505- 5 2.02166- 2 1.90000+ 1 2.70000+ 1 1.64557- 5 2.02949- 2 1.90000+ 1 2.90000+ 1 3.32612- 4 2.03582- 2 1.90000+ 1 3.00000+ 1 1.53766- 5 2.04186- 2 1.90000+ 1 3.20000+ 1 1.21663- 4 2.05127- 2 1.90000+ 1 3.30000+ 1 1.69948- 5 2.05217- 2 2.10000+ 1 2.10000+ 1 5.03921- 4 2.00761- 2 2.10000+ 1 2.20000+ 1 1.79091- 3 2.01218- 2 2.10000+ 1 2.40000+ 1 1.49449- 4 2.04623- 2 2.10000+ 1 2.50000+ 1 2.97017- 4 2.04745- 2 2.10000+ 1 2.70000+ 1 3.37206- 5 2.05528- 2 2.10000+ 1 2.90000+ 1 1.51333- 4 2.06161- 2 2.10000+ 1 3.00000+ 1 1.48106- 4 2.06765- 2 2.10000+ 1 3.20000+ 1 1.92346- 4 2.07706- 2 2.10000+ 1 3.30000+ 1 3.45573- 4 2.07796- 2 2.20000+ 1 2.20000+ 1 9.33364- 5 2.01674- 2 2.20000+ 1 2.40000+ 1 6.50153- 5 2.05080- 2 2.20000+ 1 2.50000+ 1 2.50883- 5 2.05201- 2 2.20000+ 1 2.70000+ 1 7.55326- 6 2.05985- 2 2.20000+ 1 2.90000+ 1 1.65090- 4 2.06618- 2 2.20000+ 1 3.00000+ 1 2.05022- 5 2.07221- 2 2.20000+ 1 3.20000+ 1 3.29380- 4 2.08162- 2 2.20000+ 1 3.30000+ 1 3.53388- 5 2.08252- 2 2.40000+ 1 2.40000+ 1 3.77669- 6 2.08485- 2 2.40000+ 1 2.50000+ 1 2.61666- 5 2.08606- 2 2.40000+ 1 2.70000+ 1 3.50694- 6 2.09390- 2 2.40000+ 1 2.90000+ 1 9.98112- 6 2.10023- 2 2.40000+ 1 3.00000+ 1 5.12550- 6 2.10627- 2 2.40000+ 1 3.20000+ 1 2.64361- 5 2.11568- 2 2.40000+ 1 3.30000+ 1 1.16003- 5 2.11658- 2 2.50000+ 1 2.50000+ 1 1.61855- 6 2.08728- 2 2.50000+ 1 2.70000+ 1 1.88829- 6 2.09511- 2 2.50000+ 1 2.90000+ 1 5.39542- 6 2.10144- 2 2.50000+ 1 3.00000+ 1 2.15814- 6 2.10748- 2 2.50000+ 1 3.20000+ 1 5.23361- 5 2.11689- 2 2.50000+ 1 3.30000+ 1 4.58601- 6 2.11779- 2 2.70000+ 1 2.70000+ 1 8.09330- 7 2.10295- 2 2.70000+ 1 2.90000+ 1 3.88468- 5 2.10928- 2 2.70000+ 1 3.00000+ 1 3.77676- 6 2.11532- 2 2.70000+ 1 3.20000+ 1 6.20487- 6 2.12473- 2 2.70000+ 1 3.30000+ 1 1.34884- 6 2.12563- 2 2.90000+ 1 2.90000+ 1 3.74986- 5 2.11561- 2 2.90000+ 1 3.00000+ 1 7.90416- 5 2.12165- 2 2.90000+ 1 3.20000+ 1 2.99453- 5 2.13106- 2 2.90000+ 1 3.30000+ 1 3.23730- 5 2.13196- 2 3.00000+ 1 3.00000+ 1 1.88834- 6 2.12769- 2 3.00000+ 1 3.20000+ 1 2.83256- 5 2.13710- 2 3.00000+ 1 3.30000+ 1 3.77678- 6 2.13800- 2 3.20000+ 1 3.20000+ 1 1.88019- 5 2.14650- 2 3.20000+ 1 3.30000+ 1 6.52555- 5 2.14740- 2 3.30000+ 1 3.30000+ 1 3.56317- 6 2.14831- 2 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 2.21569- 2 1.19138- 2 1.00000+ 1 2.83008- 4 1.22605- 2 1.10000+ 1 2.57888- 4 1.32044- 2 1.30000+ 1 3.56618- 2 1.37668- 2 1.40000+ 1 3.13248- 1 1.39579- 2 1.60000+ 1 5.62897- 3 1.61471- 2 1.80000+ 1 6.26916- 5 1.63065- 2 1.90000+ 1 7.04446- 5 1.65552- 2 2.10000+ 1 7.21836- 3 1.68131- 2 2.20000+ 1 6.61776- 2 1.68587- 2 2.40000+ 1 9.62084- 5 1.71992- 2 2.50000+ 1 5.30137- 4 1.72114- 2 2.70000+ 1 1.44389- 3 1.72897- 2 2.90000+ 1 1.47009- 5 1.73530- 2 3.00000+ 1 1.70639- 5 1.74134- 2 3.20000+ 1 1.39089- 3 1.75075- 2 3.30000+ 1 1.27599- 2 1.75165- 2 3.50000+ 1 3.12658- 6 1.76159- 2 3.60000+ 1 1.68249- 5 1.76170- 2 4.10000+ 1 2.99708- 4 1.75716- 2 4.30000+ 1 2.64908- 6 1.75905- 2 4.40000+ 1 2.88568- 6 1.76007- 2 5.80000+ 1 3.09648- 5 1.76201- 2 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 3.97596- 4 6.20160- 3 8.00000+ 0 1.00000+ 1 1.71238- 4 6.54830- 3 8.00000+ 0 1.10000+ 1 1.78122- 2 7.49220- 3 8.00000+ 0 1.30000+ 1 2.86314- 3 8.05460- 3 8.00000+ 0 1.40000+ 1 5.84680- 3 8.24570- 3 8.00000+ 0 1.60000+ 1 1.64384- 4 1.04349- 2 8.00000+ 0 1.80000+ 1 2.83763- 5 1.05943- 2 8.00000+ 0 1.90000+ 1 2.97136- 3 1.08430- 2 8.00000+ 0 2.10000+ 1 3.50297- 4 1.11009- 2 8.00000+ 0 2.20000+ 1 6.80069- 4 1.11465- 2 8.00000+ 0 2.40000+ 1 3.40192- 4 1.14870- 2 8.00000+ 0 2.50000+ 1 5.73385- 4 1.14992- 2 8.00000+ 0 2.70000+ 1 3.97921- 5 1.15775- 2 8.00000+ 0 2.90000+ 1 6.19730- 6 1.16408- 2 8.00000+ 0 3.00000+ 1 6.42892- 4 1.17012- 2 8.00000+ 0 3.20000+ 1 6.03430- 5 1.17953- 2 8.00000+ 0 3.30000+ 1 1.13508- 4 1.18043- 2 1.00000+ 1 1.00000+ 1 3.26176- 7 6.89500- 3 1.00000+ 1 1.10000+ 1 2.98353- 2 7.83890- 3 1.00000+ 1 1.30000+ 1 1.27338- 3 8.40130- 3 1.00000+ 1 1.40000+ 1 9.20283- 3 8.59240- 3 1.00000+ 1 1.60000+ 1 3.65313- 5 1.07816- 2 1.00000+ 1 1.80000+ 1 7.17575- 6 1.09410- 2 1.00000+ 1 1.90000+ 1 5.17340- 3 1.11897- 2 1.00000+ 1 2.10000+ 1 2.50500- 4 1.14476- 2 1.00000+ 1 2.20000+ 1 1.51762- 3 1.14932- 2 1.00000+ 1 2.40000+ 1 2.86054- 4 1.18337- 2 1.00000+ 1 2.50000+ 1 6.78113- 4 1.18459- 2 1.00000+ 1 2.70000+ 1 9.13261- 6 1.19242- 2 1.00000+ 1 2.90000+ 1 2.60941- 6 1.19875- 2 1.00000+ 1 3.00000+ 1 1.12851- 3 1.20479- 2 1.00000+ 1 3.20000+ 1 4.89253- 5 1.21420- 2 1.00000+ 1 3.30000+ 1 2.77249- 4 1.21510- 2 1.10000+ 1 1.10000+ 1 3.52192- 2 8.78280- 3 1.10000+ 1 1.30000+ 1 3.69141- 2 9.34520- 3 1.10000+ 1 1.40000+ 1 4.64497- 2 9.53630- 3 1.10000+ 1 1.60000+ 1 4.76236- 3 1.17255- 2 1.10000+ 1 1.80000+ 1 7.16496- 3 1.18849- 2 1.10000+ 1 1.90000+ 1 1.48430- 2 1.21336- 2 1.10000+ 1 2.10000+ 1 8.45387- 3 1.23915- 2 1.10000+ 1 2.20000+ 1 1.05864- 2 1.24371- 2 1.10000+ 1 2.40000+ 1 9.00619- 4 1.27776- 2 1.10000+ 1 2.50000+ 1 1.06957- 3 1.27898- 2 1.10000+ 1 2.70000+ 1 1.22715- 3 1.28681- 2 1.10000+ 1 2.90000+ 1 1.70855- 3 1.29314- 2 1.10000+ 1 3.00000+ 1 3.40314- 3 1.29918- 2 1.10000+ 1 3.20000+ 1 1.65212- 3 1.30859- 2 1.10000+ 1 3.30000+ 1 2.04420- 3 1.30949- 2 1.30000+ 1 1.30000+ 1 4.81520- 3 9.90760- 3 1.30000+ 1 1.40000+ 1 8.95891- 2 1.00987- 2 1.30000+ 1 1.60000+ 1 6.90876- 4 1.22879- 2 1.30000+ 1 1.80000+ 1 3.41854- 4 1.24473- 2 1.30000+ 1 1.90000+ 1 5.76363- 3 1.26960- 2 1.30000+ 1 2.10000+ 1 1.83907- 3 1.29539- 2 1.30000+ 1 2.20000+ 1 1.43576- 2 1.29995- 2 1.30000+ 1 2.40000+ 1 4.80811- 4 1.33400- 2 1.30000+ 1 2.50000+ 1 1.60231- 3 1.33522- 2 1.30000+ 1 2.70000+ 1 1.75821- 4 1.34305- 2 1.30000+ 1 2.90000+ 1 8.28515- 5 1.34938- 2 1.30000+ 1 3.00000+ 1 1.22776- 3 1.35542- 2 1.30000+ 1 3.20000+ 1 3.48374- 4 1.36483- 2 1.30000+ 1 3.30000+ 1 2.58403- 3 1.36573- 2 1.40000+ 1 1.40000+ 1 5.90733- 2 1.02898- 2 1.40000+ 1 1.60000+ 1 1.42146- 3 1.24790- 2 1.40000+ 1 1.80000+ 1 1.98637- 3 1.26384- 2 1.40000+ 1 1.90000+ 1 8.10921- 3 1.28871- 2 1.40000+ 1 2.10000+ 1 1.72401- 2 1.31450- 2 1.40000+ 1 2.20000+ 1 2.17478- 2 1.31906- 2 1.40000+ 1 2.40000+ 1 5.01800- 3 1.35311- 2 1.40000+ 1 2.50000+ 1 4.50883- 3 1.35433- 2 1.40000+ 1 2.70000+ 1 3.64028- 4 1.36216- 2 1.40000+ 1 2.90000+ 1 4.63499- 4 1.36849- 2 1.40000+ 1 3.00000+ 1 1.78625- 3 1.37453- 2 1.40000+ 1 3.20000+ 1 3.25795- 3 1.38394- 2 1.40000+ 1 3.30000+ 1 4.04239- 3 1.38484- 2 1.60000+ 1 1.60000+ 1 1.79402- 5 1.46682- 2 1.60000+ 1 1.80000+ 1 7.17598- 6 1.48276- 2 1.60000+ 1 1.90000+ 1 7.93926- 4 1.50763- 2 1.60000+ 1 2.10000+ 1 9.06791- 5 1.53342- 2 1.60000+ 1 2.20000+ 1 1.74507- 4 1.53798- 2 1.60000+ 1 2.40000+ 1 4.17512- 5 1.57203- 2 1.60000+ 1 2.50000+ 1 7.95896- 5 1.57325- 2 1.60000+ 1 2.70000+ 1 8.80692- 6 1.58108- 2 1.60000+ 1 2.90000+ 1 1.63093- 6 1.58741- 2 1.60000+ 1 3.00000+ 1 1.71572- 4 1.59345- 2 1.60000+ 1 3.20000+ 1 1.56563- 5 1.60286- 2 1.60000+ 1 3.30000+ 1 2.93567- 5 1.60376- 2 1.80000+ 1 1.90000+ 1 1.23225- 3 1.52357- 2 1.80000+ 1 2.10000+ 1 6.16453- 5 1.54936- 2 1.80000+ 1 2.20000+ 1 3.61404- 4 1.55392- 2 1.80000+ 1 2.40000+ 1 4.30561- 5 1.58797- 2 1.80000+ 1 2.50000+ 1 9.52429- 5 1.58919- 2 1.80000+ 1 2.70000+ 1 1.95701- 6 1.59702- 2 1.80000+ 1 3.00000+ 1 2.68119- 4 1.60939- 2 1.80000+ 1 3.20000+ 1 1.17424- 5 1.61880- 2 1.80000+ 1 3.30000+ 1 6.68651- 5 1.61970- 2 1.90000+ 1 1.90000+ 1 1.49282- 3 1.54844- 2 1.90000+ 1 2.10000+ 1 1.32451- 3 1.57423- 2 1.90000+ 1 2.20000+ 1 1.82293- 3 1.57879- 2 1.90000+ 1 2.40000+ 1 1.15462- 4 1.61284- 2 1.90000+ 1 2.50000+ 1 1.44171- 4 1.61406- 2 1.90000+ 1 2.70000+ 1 2.04512- 4 1.62189- 2 1.90000+ 1 2.90000+ 1 2.93226- 4 1.62822- 2 1.90000+ 1 3.00000+ 1 6.77481- 4 1.63426- 2 1.90000+ 1 3.20000+ 1 2.58983- 4 1.64367- 2 1.90000+ 1 3.30000+ 1 3.50967- 4 1.64457- 2 2.10000+ 1 2.10000+ 1 1.67984- 4 1.60001- 2 2.10000+ 1 2.20000+ 1 2.90419- 3 1.60458- 2 2.10000+ 1 2.40000+ 1 6.03449- 5 1.63863- 2 2.10000+ 1 2.50000+ 1 1.88852- 4 1.63985- 2 2.10000+ 1 2.70000+ 1 2.34844- 5 1.64768- 2 2.10000+ 1 2.90000+ 1 1.46780- 5 1.65401- 2 2.10000+ 1 3.00000+ 1 2.82462- 4 1.66005- 2 2.10000+ 1 3.20000+ 1 6.32797- 5 1.66946- 2 2.10000+ 1 3.30000+ 1 5.27095- 4 1.67036- 2 2.20000+ 1 2.20000+ 1 2.01536- 3 1.60914- 2 2.20000+ 1 2.40000+ 1 6.24964- 4 1.64320- 2 2.20000+ 1 2.50000+ 1 5.50236- 4 1.64441- 2 2.20000+ 1 2.70000+ 1 4.50118- 5 1.65225- 2 2.20000+ 1 2.90000+ 1 8.54569- 5 1.65858- 2 2.20000+ 1 3.00000+ 1 3.99882- 4 1.66461- 2 2.20000+ 1 3.20000+ 1 5.53535- 4 1.67402- 2 2.20000+ 1 3.30000+ 1 7.49221- 4 1.67492- 2 2.40000+ 1 2.40000+ 1 2.93547- 6 1.67725- 2 2.40000+ 1 2.50000+ 1 8.87130- 5 1.67846- 2 2.40000+ 1 2.70000+ 1 9.13227- 6 1.68630- 2 2.40000+ 1 2.90000+ 1 9.45873- 6 1.69263- 2 2.40000+ 1 3.00000+ 1 2.38092- 5 1.69867- 2 2.40000+ 1 3.20000+ 1 1.04368- 5 1.70808- 2 2.40000+ 1 3.30000+ 1 1.06653- 4 1.70898- 2 2.50000+ 1 2.50000+ 1 3.16389- 5 1.67968- 2 2.50000+ 1 2.70000+ 1 1.79397- 5 1.68751- 2 2.50000+ 1 2.90000+ 1 2.05486- 5 1.69384- 2 2.50000+ 1 3.00000+ 1 3.00080- 5 1.69988- 2 2.50000+ 1 3.20000+ 1 3.22918- 5 1.70929- 2 2.50000+ 1 3.30000+ 1 9.36116- 5 1.71019- 2 2.70000+ 1 2.70000+ 1 9.78503- 7 1.69535- 2 2.70000+ 1 2.90000+ 1 3.26178- 7 1.70168- 2 2.70000+ 1 3.00000+ 1 4.43600- 5 1.70772- 2 2.70000+ 1 3.20000+ 1 4.24021- 6 1.71713- 2 2.70000+ 1 3.30000+ 1 7.50178- 6 1.71803- 2 2.90000+ 1 3.00000+ 1 6.39567- 5 1.71405- 2 2.90000+ 1 3.20000+ 1 2.93689- 6 1.72346- 2 2.90000+ 1 3.30000+ 1 1.59889- 5 1.72436- 2 3.00000+ 1 3.00000+ 1 7.66539- 5 1.72009- 2 3.00000+ 1 3.20000+ 1 5.51260- 5 1.72950- 2 3.00000+ 1 3.30000+ 1 7.69788- 5 1.73040- 2 3.20000+ 1 3.20000+ 1 5.87120- 6 1.73890- 2 3.20000+ 1 3.30000+ 1 1.00468- 4 1.73980- 2 3.30000+ 1 3.30000+ 1 6.98036- 5 1.74071- 2 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.07920- 5 3.46700- 4 1.10000+ 1 1.28470- 3 1.29060- 3 1.80000+ 1 2.81250- 3 4.39270- 3 1.90000+ 1 1.43020- 3 4.64140- 3 2.90000+ 1 7.55191- 4 5.43925- 3 3.00000+ 1 4.45520- 4 5.49964- 3 4.30000+ 1 1.38390- 4 5.67668- 3 4.40000+ 1 7.74951- 5 5.68695- 3 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.70000+ 1 1.58070- 2 1.04500- 5 1.00000+ 1 2.90000+ 1 1.64915- 2 7.37500- 5 1.00000+ 1 3.00000+ 1 1.95052- 2 1.34140- 4 1.00000+ 1 3.20000+ 1 1.12366- 2 2.28220- 4 1.00000+ 1 3.30000+ 1 1.45180- 2 2.37230- 4 1.00000+ 1 3.50000+ 1 4.04133- 4 3.36580- 4 1.00000+ 1 3.60000+ 1 5.08664- 4 3.37670- 4 1.00000+ 1 4.10000+ 1 3.04689- 3 2.92310- 4 1.00000+ 1 4.30000+ 1 2.68107- 3 3.11180- 4 1.00000+ 1 4.40000+ 1 2.89900- 3 3.21450- 4 1.00000+ 1 4.60000+ 1 6.23168- 5 3.41950- 4 1.00000+ 1 4.70000+ 1 7.20113- 5 3.42590- 4 1.00000+ 1 5.80000+ 1 3.01612- 4 3.40820- 4 1.10000+ 1 1.90000+ 1 4.08110- 2 2.19800- 4 1.10000+ 1 2.10000+ 1 1.02072- 2 4.77660- 4 1.10000+ 1 2.20000+ 1 2.65009- 2 5.23310- 4 1.10000+ 1 2.40000+ 1 2.09491- 1 8.63850- 4 1.10000+ 1 2.50000+ 1 2.52458- 1 8.76000- 4 1.10000+ 1 2.70000+ 1 1.19849- 2 9.54350- 4 1.10000+ 1 2.90000+ 1 1.23086- 2 1.01765- 3 1.10000+ 1 3.00000+ 1 9.55520- 3 1.07804- 3 1.10000+ 1 3.20000+ 1 2.34132- 3 1.17212- 3 1.10000+ 1 3.30000+ 1 5.60913- 3 1.18113- 3 1.10000+ 1 3.50000+ 1 3.67850- 3 1.28048- 3 1.10000+ 1 3.60000+ 1 4.24497- 3 1.28157- 3 1.10000+ 1 4.10000+ 1 2.35811- 3 1.23621- 3 1.10000+ 1 4.30000+ 1 2.04285- 3 1.25508- 3 1.10000+ 1 4.40000+ 1 1.45949- 3 1.26535- 3 1.10000+ 1 4.60000+ 1 1.42602- 5 1.28585- 3 1.10000+ 1 4.70000+ 1 2.99462- 5 1.28649- 3 1.10000+ 1 5.80000+ 1 2.35721- 4 1.28472- 3 1.30000+ 1 1.60000+ 1 2.79091- 2 3.74100- 4 1.30000+ 1 1.80000+ 1 5.83032- 3 5.33500- 4 1.30000+ 1 1.90000+ 1 1.02083- 2 7.82200- 4 1.30000+ 1 2.10000+ 1 9.44108- 3 1.04006- 3 1.30000+ 1 2.20000+ 1 1.11517- 2 1.08571- 3 1.30000+ 1 2.40000+ 1 1.06400- 2 1.42625- 3 1.30000+ 1 2.50000+ 1 1.01044- 2 1.43840- 3 1.30000+ 1 2.70000+ 1 4.43667- 3 1.51675- 3 1.30000+ 1 2.90000+ 1 1.10408- 3 1.58005- 3 1.30000+ 1 3.00000+ 1 1.78866- 3 1.64044- 3 1.30000+ 1 3.20000+ 1 1.49848- 3 1.73452- 3 1.30000+ 1 3.30000+ 1 1.92256- 3 1.74353- 3 1.30000+ 1 3.50000+ 1 2.01499- 4 1.84288- 3 1.30000+ 1 3.60000+ 1 1.73550- 4 1.84397- 3 1.30000+ 1 4.10000+ 1 8.02409- 4 1.79861- 3 1.30000+ 1 4.30000+ 1 1.80245- 4 1.81748- 3 1.30000+ 1 4.40000+ 1 2.61104- 4 1.82775- 3 1.30000+ 1 4.60000+ 1 8.69906- 6 1.84825- 3 1.30000+ 1 4.70000+ 1 1.01254- 5 1.84889- 3 1.30000+ 1 5.80000+ 1 7.90038- 5 1.84712- 3 1.40000+ 1 1.60000+ 1 3.79260- 2 5.65200- 4 1.40000+ 1 1.80000+ 1 8.88995- 4 7.24600- 4 1.40000+ 1 1.90000+ 1 1.28845- 2 9.73300- 4 1.40000+ 1 2.10000+ 1 1.28185- 2 1.23116- 3 1.40000+ 1 2.20000+ 1 1.73802- 2 1.27681- 3 1.40000+ 1 2.40000+ 1 1.27676- 2 1.61735- 3 1.40000+ 1 2.50000+ 1 1.89301- 2 1.62950- 3 1.40000+ 1 2.70000+ 1 5.92733- 3 1.70785- 3 1.40000+ 1 2.90000+ 1 2.44850- 4 1.77115- 3 1.40000+ 1 3.00000+ 1 2.22066- 3 1.83154- 3 1.40000+ 1 3.20000+ 1 2.26053- 3 1.92562- 3 1.40000+ 1 3.30000+ 1 2.89037- 3 1.93463- 3 1.40000+ 1 3.50000+ 1 2.25743- 4 2.03398- 3 1.40000+ 1 3.60000+ 1 3.35693- 4 2.03507- 3 1.40000+ 1 4.10000+ 1 1.06782- 3 1.98971- 3 1.40000+ 1 4.30000+ 1 4.36369- 5 2.00858- 3 1.40000+ 1 4.40000+ 1 3.24002- 4 2.01885- 3 1.40000+ 1 4.60000+ 1 1.34042- 5 2.03935- 3 1.40000+ 1 4.70000+ 1 1.51169- 5 2.03999- 3 1.40000+ 1 5.80000+ 1 1.04953- 4 2.03822- 3 1.60000+ 1 1.60000+ 1 2.23842- 3 2.75440- 3 1.60000+ 1 1.80000+ 1 3.98960- 3 2.91380- 3 1.60000+ 1 1.90000+ 1 6.15049- 3 3.16250- 3 1.60000+ 1 2.10000+ 1 7.44810- 3 3.42036- 3 1.60000+ 1 2.20000+ 1 1.02843- 2 3.46601- 3 1.60000+ 1 2.40000+ 1 5.66414- 3 3.80655- 3 1.60000+ 1 2.50000+ 1 6.99215- 3 3.81870- 3 1.60000+ 1 2.70000+ 1 9.29910- 4 3.89705- 3 1.60000+ 1 2.90000+ 1 9.60566- 4 3.96035- 3 1.60000+ 1 3.00000+ 1 1.46001- 3 4.02074- 3 1.60000+ 1 3.20000+ 1 1.43283- 3 4.11482- 3 1.60000+ 1 3.30000+ 1 1.96113- 3 4.12383- 3 1.60000+ 1 3.50000+ 1 1.39326- 4 4.22318- 3 1.60000+ 1 3.60000+ 1 1.66126- 4 4.22427- 3 1.60000+ 1 4.10000+ 1 1.80964- 4 4.17891- 3 1.60000+ 1 4.30000+ 1 1.63707- 4 4.19778- 3 1.60000+ 1 4.40000+ 1 2.25311- 4 4.20805- 3 1.60000+ 1 4.60000+ 1 8.55598- 6 4.22855- 3 1.60000+ 1 4.70000+ 1 1.04102- 5 4.22919- 3 1.60000+ 1 5.80000+ 1 1.79675- 5 4.22742- 3 1.80000+ 1 1.80000+ 1 1.48155- 4 3.07320- 3 1.80000+ 1 1.90000+ 1 4.93259- 4 3.32190- 3 1.80000+ 1 2.10000+ 1 2.33429- 4 3.57976- 3 1.80000+ 1 2.20000+ 1 1.03250- 4 3.62541- 3 1.80000+ 1 2.40000+ 1 2.05341- 5 3.96595- 3 1.80000+ 1 2.50000+ 1 5.22635- 4 3.97810- 3 1.80000+ 1 2.70000+ 1 6.18442- 4 4.05645- 3 1.80000+ 1 2.90000+ 1 5.06229- 5 4.11975- 3 1.80000+ 1 3.00000+ 1 8.01380- 5 4.18014- 3 1.80000+ 1 3.20000+ 1 3.79316- 5 4.27422- 3 1.80000+ 1 3.30000+ 1 2.53823- 5 4.28323- 3 1.80000+ 1 3.50000+ 1 1.42600- 7 4.38258- 3 1.80000+ 1 3.60000+ 1 7.84304- 6 4.38367- 3 1.80000+ 1 4.10000+ 1 1.11794- 4 4.33831- 3 1.80000+ 1 4.30000+ 1 7.98562- 6 4.35718- 3 1.80000+ 1 4.40000+ 1 1.15511- 5 4.36745- 3 1.80000+ 1 4.60000+ 1 2.85200- 7 4.38795- 3 1.80000+ 1 4.70000+ 1 1.42600- 7 4.38859- 3 1.80000+ 1 5.80000+ 1 1.09795- 5 4.38682- 3 1.90000+ 1 1.90000+ 1 4.46914- 4 3.57060- 3 1.90000+ 1 2.10000+ 1 6.79929- 4 3.82846- 3 1.90000+ 1 2.20000+ 1 1.49797- 3 3.87411- 3 1.90000+ 1 2.40000+ 1 9.82838- 4 4.21465- 3 1.90000+ 1 2.50000+ 1 1.41294- 3 4.22680- 3 1.90000+ 1 2.70000+ 1 9.59576- 4 4.30515- 3 1.90000+ 1 2.90000+ 1 1.01814- 4 4.36845- 3 1.90000+ 1 3.00000+ 1 1.79396- 4 4.42884- 3 1.90000+ 1 3.20000+ 1 1.27064- 4 4.52292- 3 1.90000+ 1 3.30000+ 1 2.70517- 4 4.53193- 3 1.90000+ 1 3.50000+ 1 2.26739- 5 4.63128- 3 1.90000+ 1 3.60000+ 1 2.86635- 5 4.63237- 3 1.90000+ 1 4.10000+ 1 1.73830- 4 4.58701- 3 1.90000+ 1 4.30000+ 1 1.69703- 5 4.60588- 3 1.90000+ 1 4.40000+ 1 2.69518- 5 4.61615- 3 1.90000+ 1 4.60000+ 1 7.13004- 7 4.63665- 3 1.90000+ 1 4.70000+ 1 1.42603- 6 4.63729- 3 1.90000+ 1 5.80000+ 1 1.71122- 5 4.63552- 3 2.10000+ 1 2.10000+ 1 9.98204- 5 4.08632- 3 2.10000+ 1 2.20000+ 1 2.35580- 4 4.13197- 3 2.10000+ 1 2.40000+ 1 4.54045- 4 4.47251- 3 2.10000+ 1 2.50000+ 1 2.62141- 3 4.48466- 3 2.10000+ 1 2.70000+ 1 1.12764- 3 4.56301- 3 2.10000+ 1 2.90000+ 1 3.43669- 5 4.62631- 3 2.10000+ 1 3.00000+ 1 1.21498- 4 4.68670- 3 2.10000+ 1 3.20000+ 1 2.99462- 5 4.78078- 3 2.10000+ 1 3.30000+ 1 3.79320- 5 4.78979- 3 2.10000+ 1 3.50000+ 1 1.01253- 5 4.88914- 3 2.10000+ 1 3.60000+ 1 4.57752- 5 4.89023- 3 2.10000+ 1 4.10000+ 1 2.02496- 4 4.84487- 3 2.10000+ 1 4.30000+ 1 5.27628- 6 4.86374- 3 2.10000+ 1 4.40000+ 1 1.76825- 5 4.87401- 3 2.10000+ 1 4.60000+ 1 1.42602- 7 4.89451- 3 2.10000+ 1 4.70000+ 1 1.42602- 7 4.89515- 3 2.10000+ 1 5.80000+ 1 1.98219- 5 4.89338- 3 2.20000+ 1 2.20000+ 1 2.17035- 4 4.17762- 3 2.20000+ 1 2.40000+ 1 2.29395- 3 4.51816- 3 2.20000+ 1 2.50000+ 1 1.50735- 3 4.53031- 3 2.20000+ 1 2.70000+ 1 1.54832- 3 4.60866- 3 2.20000+ 1 2.90000+ 1 1.75397- 5 4.67196- 3 2.20000+ 1 3.00000+ 1 2.63521- 4 4.73235- 3 2.20000+ 1 3.20000+ 1 3.30829- 5 4.82643- 3 2.20000+ 1 3.30000+ 1 6.75937- 5 4.83544- 3 2.20000+ 1 3.50000+ 1 4.03563- 5 4.93479- 3 2.20000+ 1 3.60000+ 1 2.85204- 5 4.93588- 3 2.20000+ 1 4.10000+ 1 2.77650- 4 4.89052- 3 2.20000+ 1 4.30000+ 1 2.85204- 6 4.90939- 3 2.20000+ 1 4.40000+ 1 3.83599- 5 4.91966- 3 2.20000+ 1 4.60000+ 1 1.42602- 7 4.94016- 3 2.20000+ 1 4.70000+ 1 2.85204- 7 4.94080- 3 2.20000+ 1 5.80000+ 1 2.72374- 5 4.93903- 3 2.40000+ 1 2.40000+ 1 6.38840- 4 4.85870- 3 2.40000+ 1 2.50000+ 1 4.15797- 3 4.87085- 3 2.40000+ 1 2.70000+ 1 7.82751- 4 4.94920- 3 2.40000+ 1 2.90000+ 1 4.84845- 6 5.01250- 3 2.40000+ 1 3.00000+ 1 1.22358- 4 5.07289- 3 2.40000+ 1 3.20000+ 1 7.78614- 5 5.16697- 3 2.40000+ 1 3.30000+ 1 4.49482- 4 5.17598- 3 2.40000+ 1 3.50000+ 1 2.85206- 5 5.27533- 3 2.40000+ 1 3.60000+ 1 7.60058- 5 5.27642- 3 2.40000+ 1 4.10000+ 1 1.38326- 4 5.23106- 3 2.40000+ 1 4.30000+ 1 8.55596- 7 5.24993- 3 2.40000+ 1 4.40000+ 1 1.66854- 5 5.26020- 3 2.40000+ 1 4.60000+ 1 4.27808- 7 5.28070- 3 2.40000+ 1 4.70000+ 1 2.42428- 6 5.28134- 3 2.40000+ 1 5.80000+ 1 1.35468- 5 5.27957- 3 2.50000+ 1 2.50000+ 1 1.43911- 3 4.88300- 3 2.50000+ 1 2.70000+ 1 9.63850- 4 4.96135- 3 2.50000+ 1 2.90000+ 1 1.08378- 4 5.02465- 3 2.50000+ 1 3.00000+ 1 1.88945- 4 5.08504- 3 2.50000+ 1 3.20000+ 1 4.97819- 4 5.17912- 3 2.50000+ 1 3.30000+ 1 2.77068- 4 5.18813- 3 2.50000+ 1 3.50000+ 1 7.72888- 5 5.28748- 3 2.50000+ 1 3.60000+ 1 5.76099- 5 5.28857- 3 2.50000+ 1 4.10000+ 1 1.70269- 4 5.24321- 3 2.50000+ 1 4.30000+ 1 1.79672- 5 5.26208- 3 2.50000+ 1 4.40000+ 1 2.60960- 5 5.27235- 3 2.50000+ 1 4.60000+ 1 2.99461- 6 5.29285- 3 2.50000+ 1 4.70000+ 1 1.42602- 6 5.29349- 3 2.50000+ 1 5.80000+ 1 1.66852- 5 5.29172- 3 2.70000+ 1 2.70000+ 1 8.85550- 5 5.03970- 3 2.70000+ 1 2.90000+ 1 1.50444- 4 5.10300- 3 2.70000+ 1 3.00000+ 1 2.27443- 4 5.16339- 3 2.70000+ 1 3.20000+ 1 2.18470- 4 5.25747- 3 2.70000+ 1 3.30000+ 1 2.97319- 4 5.26648- 3 2.70000+ 1 3.50000+ 1 1.93939- 5 5.36583- 3 2.70000+ 1 3.60000+ 1 2.29591- 5 5.36692- 3 2.70000+ 1 4.10000+ 1 3.37957- 5 5.32156- 3 2.70000+ 1 4.30000+ 1 2.56680- 5 5.34043- 3 2.70000+ 1 4.40000+ 1 3.50797- 5 5.35070- 3 2.70000+ 1 4.60000+ 1 1.28340- 6 5.37120- 3 2.70000+ 1 4.70000+ 1 1.56858- 6 5.37184- 3 2.70000+ 1 5.80000+ 1 3.42234- 6 5.37007- 3 2.90000+ 1 2.90000+ 1 4.27809- 6 5.16630- 3 2.90000+ 1 3.00000+ 1 1.59710- 5 5.22669- 3 2.90000+ 1 3.20000+ 1 5.56142- 6 5.32077- 3 2.90000+ 1 3.30000+ 1 4.56328- 6 5.32978- 3 2.90000+ 1 3.60000+ 1 1.71122- 6 5.43022- 3 2.90000+ 1 4.10000+ 1 2.72376- 5 5.38486- 3 2.90000+ 1 4.30000+ 1 1.28344- 6 5.40373- 3 2.90000+ 1 4.40000+ 1 2.28158- 6 5.41400- 3 2.90000+ 1 5.80000+ 1 2.70947- 6 5.43337- 3 3.00000+ 1 3.00000+ 1 1.72548- 5 5.28708- 3 3.00000+ 1 3.20000+ 1 2.28154- 5 5.38116- 3 3.00000+ 1 3.30000+ 1 4.79143- 5 5.39017- 3 3.00000+ 1 3.50000+ 1 2.85202- 6 5.48952- 3 3.00000+ 1 3.60000+ 1 3.70756- 6 5.49061- 3 3.00000+ 1 4.10000+ 1 4.12123- 5 5.44525- 3 3.00000+ 1 4.30000+ 1 2.70943- 6 5.46412- 3 3.00000+ 1 4.40000+ 1 5.13366- 6 5.47439- 3 3.00000+ 1 4.60000+ 1 1.42601- 7 5.49489- 3 3.00000+ 1 4.70000+ 1 2.85202- 7 5.49553- 3 3.00000+ 1 5.80000+ 1 3.99283- 6 5.49376- 3 3.20000+ 1 3.20000+ 1 1.99639- 6 5.47524- 3 3.20000+ 1 3.30000+ 1 5.41890- 6 5.48425- 3 3.20000+ 1 3.50000+ 1 1.71121- 6 5.58360- 3 3.20000+ 1 3.60000+ 1 9.12657- 6 5.58469- 3 3.20000+ 1 4.10000+ 1 3.92153- 5 5.53933- 3 3.20000+ 1 4.30000+ 1 8.55592- 7 5.55820- 3 3.20000+ 1 4.40000+ 1 3.27981- 6 5.56847- 3 3.20000+ 1 5.80000+ 1 3.85028- 6 5.58784- 3 3.30000+ 1 3.30000+ 1 4.99106- 6 5.49326- 3 3.30000+ 1 3.50000+ 1 8.27081- 6 5.59261- 3 3.30000+ 1 3.60000+ 1 5.27635- 6 5.59370- 3 3.30000+ 1 4.10000+ 1 5.33350- 5 5.54834- 3 3.30000+ 1 4.30000+ 1 7.13006- 7 5.56721- 3 3.30000+ 1 4.40000+ 1 6.98746- 6 5.57748- 3 3.30000+ 1 5.80000+ 1 5.27635- 6 5.59685- 3 3.50000+ 1 3.50000+ 1 1.51792- 7 5.69196- 3 3.50000+ 1 3.60000+ 1 1.51792- 6 5.69305- 3 3.50000+ 1 4.10000+ 1 3.64294- 6 5.64769- 3 3.50000+ 1 4.40000+ 1 4.55373- 7 5.67683- 3 3.50000+ 1 5.80000+ 1 3.03582- 7 5.69620- 3 3.60000+ 1 3.60000+ 1 4.27178- 7 5.69414- 3 3.60000+ 1 4.10000+ 1 3.98701- 6 5.64878- 3 3.60000+ 1 4.30000+ 1 2.84785- 7 5.66765- 3 3.60000+ 1 4.40000+ 1 5.69560- 7 5.67792- 3 3.60000+ 1 5.80000+ 1 4.27178- 7 5.69729- 3 4.10000+ 1 4.10000+ 1 3.27990- 6 5.60342- 3 4.10000+ 1 4.30000+ 1 4.70596- 6 5.62229- 3 4.10000+ 1 4.40000+ 1 6.41732- 6 5.63256- 3 4.10000+ 1 4.60000+ 1 2.85212- 7 5.65306- 3 4.10000+ 1 4.70000+ 1 2.85212- 7 5.65370- 3 4.10000+ 1 5.80000+ 1 5.70413- 7 5.65193- 3 4.30000+ 1 4.30000+ 1 1.42604- 7 5.64116- 3 4.30000+ 1 4.40000+ 1 4.27809- 7 5.65143- 3 4.30000+ 1 5.80000+ 1 4.27809- 7 5.67080- 3 4.40000+ 1 4.40000+ 1 3.85059- 7 5.66170- 3 4.40000+ 1 5.80000+ 1 5.13402- 7 5.68107- 3 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.99261- 3 1.50630- 3 1.60000+ 1 1.04990- 3 3.88660- 3 2.10000+ 1 5.12732- 3 4.55256- 3 2.70000+ 1 2.75981- 4 5.02925- 3 3.20000+ 1 1.24901- 3 5.24702- 3 4.10000+ 1 5.73232- 5 5.31111- 3 5.80000+ 1 5.83802- 6 5.35962- 3 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 9.15112- 3 1.30960- 4 1.10000+ 1 2.20000+ 1 1.83616- 2 1.76610- 4 1.10000+ 1 2.40000+ 1 2.83876- 2 5.17150- 4 1.10000+ 1 2.50000+ 1 2.31255- 2 5.29300- 4 1.10000+ 1 2.70000+ 1 3.12070- 3 6.07650- 4 1.10000+ 1 2.90000+ 1 4.55360- 3 6.70950- 4 1.10000+ 1 3.00000+ 1 1.85352- 3 7.31340- 4 1.10000+ 1 3.20000+ 1 1.91615- 3 8.25420- 4 1.10000+ 1 3.30000+ 1 3.35216- 3 8.34430- 4 1.10000+ 1 3.50000+ 1 5.69031- 4 9.33780- 4 1.10000+ 1 3.60000+ 1 4.58185- 4 9.34870- 4 1.10000+ 1 4.10000+ 1 5.86749- 4 8.89510- 4 1.10000+ 1 4.30000+ 1 6.94323- 4 9.08380- 4 1.10000+ 1 4.40000+ 1 2.70913- 4 9.18650- 4 1.10000+ 1 4.60000+ 1 1.14786- 5 9.39150- 4 1.10000+ 1 4.70000+ 1 1.77107- 5 9.39790- 4 1.10000+ 1 5.80000+ 1 5.80513- 5 9.38020- 4 1.30000+ 1 1.60000+ 1 4.76094- 2 2.74000- 5 1.30000+ 1 1.80000+ 1 4.94991- 2 1.86800- 4 1.30000+ 1 1.90000+ 1 3.23588- 2 4.35500- 4 1.30000+ 1 2.10000+ 1 1.65470- 2 6.93360- 4 1.30000+ 1 2.20000+ 1 2.65427- 2 7.39010- 4 1.30000+ 1 2.40000+ 1 1.50641- 1 1.07955- 3 1.30000+ 1 2.50000+ 1 2.36840- 1 1.09170- 3 1.30000+ 1 2.70000+ 1 1.18726- 2 1.17005- 3 1.30000+ 1 2.90000+ 1 9.80656- 3 1.23335- 3 1.30000+ 1 3.00000+ 1 7.42354- 3 1.29374- 3 1.30000+ 1 3.20000+ 1 3.41452- 3 1.38782- 3 1.30000+ 1 3.30000+ 1 5.39493- 3 1.39683- 3 1.30000+ 1 3.50000+ 1 2.70310- 3 1.49618- 3 1.30000+ 1 3.60000+ 1 4.31719- 3 1.49727- 3 1.30000+ 1 4.10000+ 1 2.35405- 3 1.45191- 3 1.30000+ 1 4.30000+ 1 1.61109- 3 1.47078- 3 1.30000+ 1 4.40000+ 1 1.13251- 3 1.48105- 3 1.30000+ 1 4.60000+ 1 2.04989- 5 1.50155- 3 1.30000+ 1 4.70000+ 1 2.86984- 5 1.50219- 3 1.30000+ 1 5.80000+ 1 2.35488- 4 1.50042- 3 1.40000+ 1 1.60000+ 1 7.20189- 3 2.18500- 4 1.40000+ 1 1.80000+ 1 5.60027- 2 3.77900- 4 1.40000+ 1 1.90000+ 1 4.49975- 3 6.26600- 4 1.40000+ 1 2.10000+ 1 1.89624- 3 8.84460- 4 1.40000+ 1 2.20000+ 1 2.73386- 3 9.30110- 4 1.40000+ 1 2.40000+ 1 8.09682- 3 1.27065- 3 1.40000+ 1 2.50000+ 1 4.81259- 3 1.28280- 3 1.40000+ 1 2.70000+ 1 1.20054- 3 1.36115- 3 1.40000+ 1 2.90000+ 1 8.41570- 3 1.42445- 3 1.40000+ 1 3.00000+ 1 8.72608- 4 1.48484- 3 1.40000+ 1 3.20000+ 1 1.53332- 4 1.57892- 3 1.40000+ 1 3.30000+ 1 4.74256- 4 1.58793- 3 1.40000+ 1 3.50000+ 1 2.10076- 4 1.68728- 3 1.40000+ 1 3.60000+ 1 9.90459- 5 1.68837- 3 1.40000+ 1 4.10000+ 1 2.20233- 4 1.64301- 3 1.40000+ 1 4.30000+ 1 1.30129- 3 1.66188- 3 1.40000+ 1 4.40000+ 1 1.29544- 4 1.67215- 3 1.40000+ 1 4.60000+ 1 8.19931- 7 1.69265- 3 1.40000+ 1 4.70000+ 1 2.45986- 6 1.69329- 3 1.40000+ 1 5.80000+ 1 2.16467- 5 1.69152- 3 1.60000+ 1 1.60000+ 1 4.97020- 4 2.40770- 3 1.60000+ 1 1.80000+ 1 7.85880- 3 2.56710- 3 1.60000+ 1 1.90000+ 1 9.46983- 4 2.81580- 3 1.60000+ 1 2.10000+ 1 3.21949- 4 3.07366- 3 1.60000+ 1 2.20000+ 1 8.87923- 4 3.11931- 3 1.60000+ 1 2.40000+ 1 6.89469- 5 3.45985- 3 1.60000+ 1 2.50000+ 1 6.47790- 4 3.47200- 3 1.60000+ 1 2.70000+ 1 1.91565- 4 3.55035- 3 1.60000+ 1 2.90000+ 1 1.16127- 3 3.61365- 3 1.60000+ 1 3.00000+ 1 2.01458- 4 3.67404- 3 1.60000+ 1 3.20000+ 1 4.10687- 5 3.76812- 3 1.60000+ 1 3.30000+ 1 1.51081- 4 3.77713- 3 1.60000+ 1 3.50000+ 1 1.19904- 6 3.87648- 3 1.60000+ 1 3.60000+ 1 1.04918- 5 3.87757- 3 1.60000+ 1 4.10000+ 1 3.62725- 5 3.83221- 3 1.60000+ 1 4.30000+ 1 1.79867- 4 3.85108- 3 1.60000+ 1 4.40000+ 1 3.05771- 5 3.86135- 3 1.60000+ 1 4.60000+ 1 2.99773- 7 3.88185- 3 1.60000+ 1 4.70000+ 1 8.99304- 7 3.88249- 3 1.60000+ 1 5.80000+ 1 3.59716- 6 3.88072- 3 1.80000+ 1 1.80000+ 1 6.17129- 3 2.72650- 3 1.80000+ 1 1.90000+ 1 1.62999- 2 2.97520- 3 1.80000+ 1 2.10000+ 1 1.66485- 2 3.23306- 3 1.80000+ 1 2.20000+ 1 2.58908- 2 3.27871- 3 1.80000+ 1 2.40000+ 1 1.04686- 2 3.61925- 3 1.80000+ 1 2.50000+ 1 1.69719- 2 3.63140- 3 1.80000+ 1 2.70000+ 1 2.00200- 3 3.70975- 3 1.80000+ 1 2.90000+ 1 2.43800- 3 3.77305- 3 1.80000+ 1 3.00000+ 1 3.83207- 3 3.83344- 3 1.80000+ 1 3.20000+ 1 3.21943- 3 3.92752- 3 1.80000+ 1 3.30000+ 1 4.88822- 3 3.93653- 3 1.80000+ 1 3.50000+ 1 2.58390- 4 4.03588- 3 1.80000+ 1 3.60000+ 1 4.00167- 4 4.03697- 3 1.80000+ 1 4.10000+ 1 4.02273- 4 3.99161- 3 1.80000+ 1 4.30000+ 1 4.03493- 4 4.01048- 3 1.80000+ 1 4.40000+ 1 5.90241- 4 4.02075- 3 1.80000+ 1 4.60000+ 1 1.91845- 5 4.04125- 3 1.80000+ 1 4.70000+ 1 2.57805- 5 4.04189- 3 1.80000+ 1 5.80000+ 1 4.01689- 5 4.04012- 3 1.90000+ 1 1.90000+ 1 4.01393- 4 3.22390- 3 1.90000+ 1 2.10000+ 1 9.18503- 4 3.48176- 3 1.90000+ 1 2.20000+ 1 8.73814- 4 3.52741- 3 1.90000+ 1 2.40000+ 1 6.65035- 3 3.86795- 3 1.90000+ 1 2.50000+ 1 1.85347- 3 3.88010- 3 1.90000+ 1 2.70000+ 1 1.51687- 4 3.95845- 3 1.90000+ 1 2.90000+ 1 2.45726- 3 4.02175- 3 1.90000+ 1 3.00000+ 1 1.58881- 4 4.08214- 3 1.90000+ 1 3.20000+ 1 1.36991- 4 4.17622- 3 1.90000+ 1 3.30000+ 1 1.49285- 4 4.18523- 3 1.90000+ 1 3.50000+ 1 1.36396- 4 4.28458- 3 1.90000+ 1 3.60000+ 1 3.83713- 5 4.28567- 3 1.90000+ 1 4.10000+ 1 2.75791- 5 4.24031- 3 1.90000+ 1 4.30000+ 1 3.81908- 4 4.25918- 3 1.90000+ 1 4.40000+ 1 2.36803- 5 4.26945- 3 1.90000+ 1 4.60000+ 1 8.99300- 7 4.28995- 3 1.90000+ 1 4.70000+ 1 8.99300- 7 4.29059- 3 1.90000+ 1 5.80000+ 1 2.69792- 6 4.28882- 3 2.10000+ 1 2.10000+ 1 6.33429- 4 3.73962- 3 2.10000+ 1 2.20000+ 1 1.13671- 3 3.78527- 3 2.10000+ 1 2.40000+ 1 6.81092- 4 4.12581- 3 2.10000+ 1 2.50000+ 1 8.97231- 4 4.13796- 3 2.10000+ 1 2.70000+ 1 7.94400- 5 4.21631- 3 2.10000+ 1 2.90000+ 1 2.42539- 3 4.27961- 3 2.10000+ 1 3.00000+ 1 2.01746- 4 4.34000- 3 2.10000+ 1 3.20000+ 1 1.97568- 4 4.43408- 3 2.10000+ 1 3.30000+ 1 1.96349- 4 4.44309- 3 2.10000+ 1 3.50000+ 1 8.69355- 6 4.54244- 3 2.10000+ 1 3.60000+ 1 1.52880- 5 4.54353- 3 2.10000+ 1 4.10000+ 1 1.58884- 5 4.49817- 3 2.10000+ 1 4.30000+ 1 3.74128- 4 4.51704- 3 2.10000+ 1 4.40000+ 1 3.05777- 5 4.52731- 3 2.10000+ 1 4.60000+ 1 1.19906- 6 4.54781- 3 2.10000+ 1 4.70000+ 1 8.99319- 7 4.54845- 3 2.10000+ 1 5.80000+ 1 1.49883- 6 4.54668- 3 2.20000+ 1 2.20000+ 1 3.15369- 4 3.83092- 3 2.20000+ 1 2.40000+ 1 1.41610- 3 4.17146- 3 2.20000+ 1 2.50000+ 1 3.70518- 4 4.18361- 3 2.20000+ 1 2.70000+ 1 1.76862- 4 4.26196- 3 2.20000+ 1 2.90000+ 1 3.81430- 3 4.32526- 3 2.20000+ 1 3.00000+ 1 1.56185- 4 4.38565- 3 2.20000+ 1 3.20000+ 1 1.63378- 4 4.47973- 3 2.20000+ 1 3.30000+ 1 1.00425- 4 4.48874- 3 2.20000+ 1 3.50000+ 1 1.52880- 5 4.58809- 3 2.20000+ 1 3.60000+ 1 5.39592- 6 4.58918- 3 2.20000+ 1 4.10000+ 1 3.38747- 5 4.54382- 3 2.20000+ 1 4.30000+ 1 5.89960- 4 4.56269- 3 2.20000+ 1 4.40000+ 1 2.27831- 5 4.57296- 3 2.20000+ 1 4.60000+ 1 8.99315- 7 4.59346- 3 2.20000+ 1 4.70000+ 1 5.99535- 7 4.59410- 3 2.20000+ 1 5.80000+ 1 3.29757- 6 4.59233- 3 2.40000+ 1 2.40000+ 1 2.73961- 3 4.51200- 3 2.40000+ 1 2.50000+ 1 1.74273- 2 4.52415- 3 2.40000+ 1 2.70000+ 1 1.16912- 5 4.60250- 3 2.40000+ 1 2.90000+ 1 1.40510- 3 4.66580- 3 2.40000+ 1 3.00000+ 1 1.46867- 3 4.72619- 3 2.40000+ 1 3.20000+ 1 1.40300- 4 4.82027- 3 2.40000+ 1 3.30000+ 1 3.30648- 4 4.82928- 3 2.40000+ 1 3.50000+ 1 1.12119- 4 4.92863- 3 2.40000+ 1 3.60000+ 1 3.39054- 4 4.92972- 3 2.40000+ 1 4.10000+ 1 2.09836- 6 4.88436- 3 2.40000+ 1 4.30000+ 1 2.15234- 4 4.90323- 3 2.40000+ 1 4.40000+ 1 2.23324- 4 4.91350- 3 2.40000+ 1 4.60000+ 1 8.99330- 7 4.93400- 3 2.40000+ 1 4.70000+ 1 1.79872- 6 4.93464- 3 2.40000+ 1 5.80000+ 1 2.99781- 7 4.93287- 3 2.50000+ 1 2.50000+ 1 9.08318- 4 4.53630- 3 2.50000+ 1 2.70000+ 1 1.33699- 4 4.61465- 3 2.50000+ 1 2.90000+ 1 2.20928- 3 4.67795- 3 2.50000+ 1 3.00000+ 1 3.61221- 4 4.73834- 3 2.50000+ 1 3.20000+ 1 1.81356- 4 4.83242- 3 2.50000+ 1 3.30000+ 1 7.46445- 5 4.84143- 3 2.50000+ 1 3.50000+ 1 3.43842- 4 4.94078- 3 2.50000+ 1 3.60000+ 1 3.56726- 5 4.94187- 3 2.50000+ 1 4.10000+ 1 2.54803- 5 4.89651- 3 2.50000+ 1 4.30000+ 1 3.33347- 4 4.91538- 3 2.50000+ 1 4.40000+ 1 5.36580- 5 4.92565- 3 2.50000+ 1 4.60000+ 1 1.19905- 6 4.94615- 3 2.50000+ 1 4.70000+ 1 2.99774- 7 4.94679- 3 2.50000+ 1 5.80000+ 1 2.39829- 6 4.94502- 3 2.70000+ 1 2.70000+ 1 1.82859- 5 4.69300- 3 2.70000+ 1 2.90000+ 1 2.97669- 4 4.75630- 3 2.70000+ 1 3.00000+ 1 3.20746- 5 4.81669- 3 2.70000+ 1 3.20000+ 1 9.59271- 6 4.91077- 3 2.70000+ 1 3.30000+ 1 3.05773- 5 4.91978- 3 2.70000+ 1 3.50000+ 1 2.99774- 7 5.01913- 3 2.70000+ 1 3.60000+ 1 2.09831- 6 5.02022- 3 2.70000+ 1 4.10000+ 1 6.89472- 6 4.97486- 3 2.70000+ 1 4.30000+ 1 4.61643- 5 4.99373- 3 2.70000+ 1 4.40000+ 1 4.79642- 6 5.00400- 3 2.70000+ 1 4.70000+ 1 2.99774- 7 5.02514- 3 2.70000+ 1 5.80000+ 1 5.99529- 7 5.02337- 3 2.90000+ 1 2.90000+ 1 2.24545- 4 4.81960- 3 2.90000+ 1 3.00000+ 1 5.81563- 4 4.87999- 3 2.90000+ 1 3.20000+ 1 4.72167- 4 4.97407- 3 2.90000+ 1 3.30000+ 1 7.24872- 4 4.98308- 3 2.90000+ 1 3.50000+ 1 3.44737- 5 5.08243- 3 2.90000+ 1 3.60000+ 1 5.27618- 5 5.08352- 3 2.90000+ 1 4.10000+ 1 5.99545- 5 5.03816- 3 2.90000+ 1 4.30000+ 1 7.34465- 5 5.05703- 3 2.90000+ 1 4.40000+ 1 8.96357- 5 5.06730- 3 2.90000+ 1 4.60000+ 1 2.69801- 6 5.08780- 3 2.90000+ 1 4.70000+ 1 3.89709- 6 5.08844- 3 2.90000+ 1 5.80000+ 1 5.99545- 6 5.08667- 3 3.00000+ 1 3.00000+ 1 1.55887- 5 4.94038- 3 3.00000+ 1 3.20000+ 1 3.02769- 5 5.03446- 3 3.00000+ 1 3.30000+ 1 2.66805- 5 5.04347- 3 3.00000+ 1 3.50000+ 1 3.02769- 5 5.14282- 3 3.00000+ 1 3.60000+ 1 7.49446- 6 5.14391- 3 3.00000+ 1 4.10000+ 1 5.99538- 6 5.09855- 3 3.00000+ 1 4.30000+ 1 9.05321- 5 5.11742- 3 3.00000+ 1 4.40000+ 1 4.49667- 6 5.12769- 3 3.00000+ 1 4.60000+ 1 2.99778- 7 5.14819- 3 3.00000+ 1 5.80000+ 1 5.99538- 7 5.14706- 3 3.20000+ 1 3.20000+ 1 1.46886- 5 5.12854- 3 3.20000+ 1 3.30000+ 1 3.05773- 5 5.13755- 3 3.20000+ 1 3.50000+ 1 2.09831- 6 5.23690- 3 3.20000+ 1 3.60000+ 1 3.59718- 6 5.23799- 3 3.20000+ 1 4.10000+ 1 1.79867- 6 5.19263- 3 3.20000+ 1 4.30000+ 1 7.28446- 5 5.21150- 3 3.20000+ 1 4.40000+ 1 4.49661- 6 5.22177- 3 3.20000+ 1 4.60000+ 1 2.99774- 7 5.24227- 3 3.20000+ 1 4.70000+ 1 2.99774- 7 5.24291- 3 3.20000+ 1 5.80000+ 1 2.99774- 7 5.24114- 3 3.30000+ 1 3.30000+ 1 8.42203- 6 5.14656- 3 3.30000+ 1 3.50000+ 1 4.21102- 6 5.24591- 3 3.30000+ 1 3.60000+ 1 1.20311- 6 5.24700- 3 3.30000+ 1 4.10000+ 1 6.01560- 6 5.20164- 3 3.30000+ 1 4.30000+ 1 1.12496- 4 5.22051- 3 3.30000+ 1 4.40000+ 1 3.91018- 6 5.23078- 3 3.30000+ 1 4.60000+ 1 3.00789- 7 5.25128- 3 3.30000+ 1 5.80000+ 1 6.01560- 7 5.25015- 3 3.50000+ 1 3.50000+ 1 6.32093- 7 5.34526- 3 3.50000+ 1 3.60000+ 1 7.26921- 6 5.34635- 3 3.50000+ 1 4.30000+ 1 5.68894- 6 5.31986- 3 3.50000+ 1 4.40000+ 1 4.74083- 6 5.33013- 3 3.60000+ 1 3.60000+ 1 3.13945- 7 5.34744- 3 3.60000+ 1 4.10000+ 1 3.13945- 7 5.30208- 3 3.60000+ 1 4.30000+ 1 8.47643- 6 5.32095- 3 3.60000+ 1 4.40000+ 1 1.25573- 6 5.33122- 3 4.10000+ 1 4.10000+ 1 6.10491- 7 5.25672- 3 4.10000+ 1 4.30000+ 1 9.46280- 6 5.27559- 3 4.10000+ 1 4.40000+ 1 9.15750- 7 5.28586- 3 4.30000+ 1 4.30000+ 1 5.89476- 6 5.29446- 3 4.30000+ 1 4.40000+ 1 1.38529- 5 5.30473- 3 4.30000+ 1 4.60000+ 1 2.94747- 7 5.32523- 3 4.30000+ 1 4.70000+ 1 5.89476- 7 5.32587- 3 4.30000+ 1 5.80000+ 1 8.84227- 7 5.32410- 3 4.40000+ 1 4.40000+ 1 2.99781- 7 5.31500- 3 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.36800- 5 5.62400- 4 1.40000+ 1 3.19051- 4 7.53500- 4 1.60000+ 1 2.23121- 3 2.94270- 3 2.10000+ 1 1.03990- 3 3.60866- 3 2.20000+ 1 7.77263- 3 3.65431- 3 2.70000+ 1 5.57632- 4 4.08535- 3 3.20000+ 1 2.24191- 4 4.30312- 3 3.30000+ 1 1.71351- 3 4.31213- 3 4.10000+ 1 1.09600- 4 4.36721- 3 5.80000+ 1 1.26050- 5 4.41572- 3 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 1.60901- 2 1.35650- 4 1.30000+ 1 2.50000+ 1 2.36280- 2 1.47800- 4 1.30000+ 1 2.70000+ 1 3.58901- 3 2.26150- 4 1.30000+ 1 2.90000+ 1 3.48669- 3 2.89450- 4 1.30000+ 1 3.00000+ 1 1.00330- 2 3.49840- 4 1.30000+ 1 3.20000+ 1 1.95810- 3 4.43920- 4 1.30000+ 1 3.30000+ 1 2.19335- 3 4.52930- 4 1.30000+ 1 3.50000+ 1 2.31988- 4 5.52280- 4 1.30000+ 1 3.60000+ 1 3.86708- 4 5.53370- 4 1.30000+ 1 4.10000+ 1 6.86014- 4 5.08010- 4 1.30000+ 1 4.30000+ 1 5.67187- 4 5.26880- 4 1.30000+ 1 4.40000+ 1 1.45170- 3 5.37150- 4 1.30000+ 1 4.60000+ 1 1.13560- 5 5.57650- 4 1.30000+ 1 4.70000+ 1 1.13560- 5 5.58290- 4 1.30000+ 1 5.80000+ 1 6.77297- 5 5.56520- 4 1.40000+ 1 2.20000+ 1 6.00297- 2 0.00000+ 0 1.40000+ 1 2.40000+ 1 2.11824- 1 3.26750- 4 1.40000+ 1 2.50000+ 1 2.55717- 1 3.38900- 4 1.40000+ 1 2.70000+ 1 2.18696- 2 4.17250- 4 1.40000+ 1 2.90000+ 1 2.32742- 2 4.80550- 4 1.40000+ 1 3.00000+ 1 2.41378- 2 5.40940- 4 1.40000+ 1 3.20000+ 1 8.04709- 3 6.35020- 4 1.40000+ 1 3.30000+ 1 1.17993- 2 6.44030- 4 1.40000+ 1 3.50000+ 1 3.10239- 3 7.43380- 4 1.40000+ 1 3.60000+ 1 3.48891- 3 7.44470- 4 1.40000+ 1 4.10000+ 1 4.28782- 3 6.99110- 4 1.40000+ 1 4.30000+ 1 3.82292- 3 7.17980- 4 1.40000+ 1 4.40000+ 1 3.58626- 3 7.28250- 4 1.40000+ 1 4.60000+ 1 4.70458- 5 7.48750- 4 1.40000+ 1 4.70000+ 1 6.20514- 5 7.49390- 4 1.40000+ 1 5.80000+ 1 4.25643- 4 7.47620- 4 1.60000+ 1 1.60000+ 1 9.46132- 5 1.46380- 3 1.60000+ 1 1.80000+ 1 3.83394- 4 1.62320- 3 1.60000+ 1 1.90000+ 1 9.93860- 3 1.87190- 3 1.60000+ 1 2.10000+ 1 6.36246- 4 2.12976- 3 1.60000+ 1 2.20000+ 1 8.44266- 4 2.17541- 3 1.60000+ 1 2.40000+ 1 2.45269- 3 2.51595- 3 1.60000+ 1 2.50000+ 1 4.46229- 3 2.52810- 3 1.60000+ 1 2.70000+ 1 4.12066- 5 2.60645- 3 1.60000+ 1 2.90000+ 1 5.14282- 5 2.66975- 3 1.60000+ 1 3.00000+ 1 1.45878- 3 2.73014- 3 1.60000+ 1 3.20000+ 1 1.02853- 4 2.82422- 3 1.60000+ 1 3.30000+ 1 1.33510- 4 2.83323- 3 1.60000+ 1 3.50000+ 1 4.28556- 5 2.93258- 3 1.60000+ 1 3.60000+ 1 7.51622- 5 2.93367- 3 1.60000+ 1 4.10000+ 1 7.91191- 6 2.88831- 3 1.60000+ 1 4.30000+ 1 7.91191- 6 2.90718- 3 1.60000+ 1 4.40000+ 1 2.05369- 4 2.91745- 3 1.60000+ 1 4.60000+ 1 6.59324- 7 2.93795- 3 1.60000+ 1 4.70000+ 1 6.59324- 7 2.93859- 3 1.60000+ 1 5.80000+ 1 6.59324- 7 2.93682- 3 1.80000+ 1 1.90000+ 1 1.26425- 2 2.03130- 3 1.80000+ 1 2.10000+ 1 2.93408- 4 2.28916- 3 1.80000+ 1 2.20000+ 1 2.92096- 3 2.33481- 3 1.80000+ 1 2.40000+ 1 1.59518- 3 2.67535- 3 1.80000+ 1 2.50000+ 1 7.86726- 3 2.68750- 3 1.80000+ 1 2.70000+ 1 7.97798- 5 2.76585- 3 1.80000+ 1 2.90000+ 1 2.30759- 6 2.82915- 3 1.80000+ 1 3.00000+ 1 1.90828- 3 2.88954- 3 1.80000+ 1 3.20000+ 1 5.63723- 5 2.98362- 3 1.80000+ 1 3.30000+ 1 4.46036- 4 2.99263- 3 1.80000+ 1 3.50000+ 1 2.57138- 5 3.09198- 3 1.80000+ 1 3.60000+ 1 1.30216- 4 3.09307- 3 1.80000+ 1 4.10000+ 1 1.51649- 5 3.04771- 3 1.80000+ 1 4.30000+ 1 3.29676- 7 3.06658- 3 1.80000+ 1 4.40000+ 1 2.70343- 4 3.07685- 3 1.80000+ 1 4.60000+ 1 3.29676- 7 3.09735- 3 1.80000+ 1 4.70000+ 1 2.30759- 6 3.09799- 3 1.80000+ 1 5.80000+ 1 1.64838- 6 3.09622- 3 1.90000+ 1 1.90000+ 1 1.58116- 2 2.28000- 3 1.90000+ 1 2.10000+ 1 2.36951- 2 2.53786- 3 1.90000+ 1 2.20000+ 1 3.06127- 2 2.58351- 3 1.90000+ 1 2.40000+ 1 2.25880- 2 2.92405- 3 1.90000+ 1 2.50000+ 1 2.57420- 2 2.93620- 3 1.90000+ 1 2.70000+ 1 2.49938- 3 3.01455- 3 1.90000+ 1 2.90000+ 1 2.95575- 3 3.07785- 3 1.90000+ 1 3.00000+ 1 6.06318- 3 3.13824- 3 1.90000+ 1 3.20000+ 1 4.40317- 3 3.23232- 3 1.90000+ 1 3.30000+ 1 5.69618- 3 3.24133- 3 1.90000+ 1 3.50000+ 1 5.19872- 4 3.34068- 3 1.90000+ 1 3.60000+ 1 5.72630- 4 3.34177- 3 1.90000+ 1 4.10000+ 1 5.00094- 4 3.29641- 3 1.90000+ 1 4.30000+ 1 5.00426- 4 3.31528- 3 1.90000+ 1 4.40000+ 1 9.04253- 4 3.32555- 3 1.90000+ 1 4.60000+ 1 2.60418- 5 3.34605- 3 1.90000+ 1 4.70000+ 1 2.99987- 5 3.34669- 3 1.90000+ 1 5.80000+ 1 5.01075- 5 3.34492- 3 2.10000+ 1 2.10000+ 1 1.66151- 4 2.79572- 3 2.10000+ 1 2.20000+ 1 3.98959- 3 2.84137- 3 2.10000+ 1 2.40000+ 1 6.54715- 4 3.18191- 3 2.10000+ 1 2.50000+ 1 7.38597- 3 3.19406- 3 2.10000+ 1 2.70000+ 1 8.04389- 5 3.27241- 3 2.10000+ 1 2.90000+ 1 1.54937- 5 3.33571- 3 2.10000+ 1 3.00000+ 1 3.48303- 3 3.39610- 3 2.10000+ 1 3.20000+ 1 5.04392- 5 3.49018- 3 2.10000+ 1 3.30000+ 1 6.43860- 4 3.49919- 3 2.10000+ 1 3.50000+ 1 1.21979- 5 3.59854- 3 2.10000+ 1 3.60000+ 1 1.02197- 4 3.59963- 3 2.10000+ 1 4.10000+ 1 1.41763- 5 3.55427- 3 2.10000+ 1 4.30000+ 1 2.30760- 6 3.57314- 3 2.10000+ 1 4.40000+ 1 4.90554- 4 3.58341- 3 2.10000+ 1 4.60000+ 1 3.29677- 7 3.60391- 3 2.10000+ 1 4.70000+ 1 3.29677- 6 3.60455- 3 2.10000+ 1 5.80000+ 1 1.31864- 6 3.60278- 3 2.20000+ 1 2.20000+ 1 1.69857- 3 2.88702- 3 2.20000+ 1 2.40000+ 1 5.83652- 3 3.22756- 3 2.20000+ 1 2.50000+ 1 4.76272- 3 3.23971- 3 2.20000+ 1 2.70000+ 1 1.17035- 4 3.31806- 3 2.20000+ 1 2.90000+ 1 2.94722- 4 3.38136- 3 2.20000+ 1 3.00000+ 1 4.43909- 3 3.44175- 3 2.20000+ 1 3.20000+ 1 6.31986- 4 3.53583- 3 2.20000+ 1 3.30000+ 1 5.53193- 4 3.54484- 3 2.20000+ 1 3.50000+ 1 1.04506- 4 3.64419- 3 2.20000+ 1 3.60000+ 1 8.04395- 5 3.64528- 3 2.20000+ 1 4.10000+ 1 2.07697- 5 3.59992- 3 2.20000+ 1 4.30000+ 1 4.25285- 5 3.61879- 3 2.20000+ 1 4.40000+ 1 6.23410- 4 3.62906- 3 2.20000+ 1 4.60000+ 1 3.62649- 6 3.64956- 3 2.20000+ 1 4.70000+ 1 2.96712- 6 3.65020- 3 2.20000+ 1 5.80000+ 1 1.97808- 6 3.64843- 3 2.40000+ 1 2.40000+ 1 1.01870- 3 3.56810- 3 2.40000+ 1 2.50000+ 1 2.62433- 2 3.58025- 3 2.40000+ 1 2.70000+ 1 2.71644- 4 3.65860- 3 2.40000+ 1 2.90000+ 1 2.99335- 4 3.72190- 3 2.40000+ 1 3.00000+ 1 3.14644- 3 3.78229- 3 2.40000+ 1 3.20000+ 1 1.41764- 4 3.87637- 3 2.40000+ 1 3.30000+ 1 1.01672- 3 3.88538- 3 2.40000+ 1 3.50000+ 1 4.08793- 5 3.98473- 3 2.40000+ 1 3.60000+ 1 4.69122- 4 3.98582- 3 2.40000+ 1 4.10000+ 1 4.71427- 5 3.94046- 3 2.40000+ 1 4.30000+ 1 4.84618- 5 3.95933- 3 2.40000+ 1 4.40000+ 1 4.39772- 4 3.96960- 3 2.40000+ 1 4.60000+ 1 9.89008- 7 3.99010- 3 2.40000+ 1 4.70000+ 1 5.27475- 6 3.99074- 3 2.40000+ 1 5.80000+ 1 4.61539- 6 3.98897- 3 2.50000+ 1 2.50000+ 1 1.04443- 2 3.59240- 3 2.50000+ 1 2.70000+ 1 4.72419- 4 3.67075- 3 2.50000+ 1 2.90000+ 1 1.44830- 3 3.73405- 3 2.50000+ 1 3.00000+ 1 3.75403- 3 3.79444- 3 2.50000+ 1 3.20000+ 1 1.35658- 3 3.88852- 3 2.50000+ 1 3.30000+ 1 9.07580- 4 3.89753- 3 2.50000+ 1 3.50000+ 1 4.72087- 4 3.99688- 3 2.50000+ 1 3.60000+ 1 3.79108- 4 3.99797- 3 2.50000+ 1 4.10000+ 1 7.97800- 5 3.95261- 3 2.50000+ 1 4.30000+ 1 2.35055- 4 3.97148- 3 2.50000+ 1 4.40000+ 1 5.32083- 4 3.98175- 3 2.50000+ 1 4.60000+ 1 7.91211- 6 4.00225- 3 2.50000+ 1 4.70000+ 1 4.94517- 6 4.00289- 3 2.50000+ 1 5.80000+ 1 7.91211- 6 4.00112- 3 2.70000+ 1 2.70000+ 1 4.94512- 6 3.74910- 3 2.70000+ 1 2.90000+ 1 1.15383- 5 3.81240- 3 2.70000+ 1 3.00000+ 1 3.67903- 4 3.87279- 3 2.70000+ 1 3.20000+ 1 1.45059- 5 3.96687- 3 2.70000+ 1 3.30000+ 1 1.94488- 5 3.97588- 3 2.70000+ 1 3.50000+ 1 4.61530- 6 4.07523- 3 2.70000+ 1 3.60000+ 1 7.91203- 6 4.07632- 3 2.70000+ 1 4.10000+ 1 1.97804- 6 4.03096- 3 2.70000+ 1 4.30000+ 1 1.97804- 6 4.04983- 3 2.70000+ 1 4.40000+ 1 5.17576- 5 4.06010- 3 2.70000+ 1 5.80000+ 1 3.29673- 7 4.07947- 3 2.90000+ 1 3.00000+ 1 4.48011- 4 3.93609- 3 2.90000+ 1 3.20000+ 1 2.63740- 6 4.03017- 3 2.90000+ 1 3.30000+ 1 4.78023- 5 4.03918- 3 2.90000+ 1 3.50000+ 1 5.60434- 6 4.13853- 3 2.90000+ 1 3.60000+ 1 2.70343- 5 4.13962- 3 2.90000+ 1 4.10000+ 1 2.30759- 6 4.09426- 3 2.90000+ 1 4.40000+ 1 6.36258- 5 4.12340- 3 2.90000+ 1 4.70000+ 1 3.29675- 7 4.14454- 3 2.90000+ 1 5.80000+ 1 3.29675- 7 4.14277- 3 3.00000+ 1 3.00000+ 1 5.48234- 4 3.99648- 3 3.00000+ 1 3.20000+ 1 6.49773- 4 4.09056- 3 3.00000+ 1 3.30000+ 1 8.28114- 4 4.09957- 3 3.00000+ 1 3.50000+ 1 7.25266- 5 4.19892- 3 3.00000+ 1 3.60000+ 1 8.27466- 5 4.20001- 3 3.00000+ 1 4.10000+ 1 7.38455- 5 4.15465- 3 3.00000+ 1 4.30000+ 1 7.58232- 5 4.17352- 3 3.00000+ 1 4.40000+ 1 1.61852- 4 4.18379- 3 3.00000+ 1 4.60000+ 1 3.95593- 6 4.20429- 3 3.00000+ 1 4.70000+ 1 4.28561- 6 4.20493- 3 3.00000+ 1 5.80000+ 1 7.25266- 6 4.20316- 3 3.20000+ 1 3.20000+ 1 3.95604- 6 4.18464- 3 3.20000+ 1 3.30000+ 1 1.10771- 4 4.19365- 3 3.20000+ 1 3.50000+ 1 2.30763- 6 4.29300- 3 3.20000+ 1 3.60000+ 1 2.01110- 5 4.29409- 3 3.20000+ 1 4.10000+ 1 2.63744- 6 4.24873- 3 3.20000+ 1 4.30000+ 1 3.29681- 7 4.26760- 3 3.20000+ 1 4.40000+ 1 9.16487- 5 4.27787- 3 3.20000+ 1 4.70000+ 1 6.59350- 7 4.29901- 3 3.20000+ 1 5.80000+ 1 3.29681- 7 4.29724- 3 3.30000+ 1 3.30000+ 1 4.78029- 5 4.20266- 3 3.30000+ 1 3.50000+ 1 1.94492- 5 4.30201- 3 3.30000+ 1 3.60000+ 1 1.58251- 5 4.30310- 3 3.30000+ 1 4.10000+ 1 3.62648- 6 4.25774- 3 3.30000+ 1 4.30000+ 1 6.92299- 6 4.27661- 3 3.30000+ 1 4.40000+ 1 1.16376- 4 4.28688- 3 3.30000+ 1 4.60000+ 1 6.59346- 7 4.30738- 3 3.30000+ 1 4.70000+ 1 6.59346- 7 4.30802- 3 3.30000+ 1 5.80000+ 1 3.29679- 7 4.30625- 3 3.50000+ 1 3.50000+ 1 3.49931- 7 4.40136- 3 3.50000+ 1 3.60000+ 1 9.44797- 6 4.40245- 3 3.50000+ 1 4.10000+ 1 6.99850- 7 4.35709- 3 3.50000+ 1 4.30000+ 1 1.04976- 6 4.37596- 3 3.50000+ 1 4.40000+ 1 1.08476- 5 4.38623- 3 3.60000+ 1 3.60000+ 1 2.50831- 6 4.40354- 3 3.60000+ 1 4.10000+ 1 1.43333- 6 4.35818- 3 3.60000+ 1 4.30000+ 1 4.65844- 6 4.37705- 3 3.60000+ 1 4.40000+ 1 1.25420- 5 4.38732- 3 4.10000+ 1 4.10000+ 1 3.10303- 7 4.31282- 3 4.10000+ 1 4.30000+ 1 3.10303- 7 4.33169- 3 4.10000+ 1 4.40000+ 1 9.92943- 6 4.34196- 3 4.30000+ 1 4.40000+ 1 1.02200- 5 4.36083- 3 4.40000+ 1 4.40000+ 1 1.15837- 5 4.37110- 3 4.40000+ 1 4.60000+ 1 6.43531- 7 4.39160- 3 4.40000+ 1 4.70000+ 1 6.43531- 7 4.39224- 3 4.40000+ 1 5.80000+ 1 9.65284- 7 4.39047- 3 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.40299- 3 2.53970- 3 1.90000+ 1 2.08959- 4 2.78840- 3 2.40000+ 1 5.29348- 2 3.43245- 3 2.90000+ 1 5.66628- 4 3.58625- 3 3.00000+ 1 4.90398- 5 3.64664- 3 3.50000+ 1 1.40550- 3 3.84908- 3 4.30000+ 1 9.70437- 5 3.82368- 3 4.40000+ 1 7.93137- 6 3.83395- 3 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.20000+ 1 4.96752- 2 7.26200- 5 1.40000+ 1 3.30000+ 1 7.13070- 3 8.16300- 5 1.40000+ 1 3.50000+ 1 1.16146- 2 1.80980- 4 1.40000+ 1 3.60000+ 1 1.24966- 3 1.82070- 4 1.40000+ 1 4.10000+ 1 9.88032- 4 1.36710- 4 1.40000+ 1 4.30000+ 1 4.89224- 4 1.55580- 4 1.40000+ 1 4.40000+ 1 9.99847- 4 1.65850- 4 1.40000+ 1 4.60000+ 1 2.82193- 4 1.86350- 4 1.40000+ 1 4.70000+ 1 3.68381- 5 1.86990- 4 1.40000+ 1 5.80000+ 1 9.65157- 5 1.85220- 4 1.60000+ 1 1.60000+ 1 5.15748- 6 9.01400- 4 1.60000+ 1 1.80000+ 1 7.58900- 4 1.06080- 3 1.60000+ 1 1.90000+ 1 7.22813- 4 1.30950- 3 1.60000+ 1 2.10000+ 1 2.81286- 2 1.56736- 3 1.60000+ 1 2.20000+ 1 3.30316- 3 1.61301- 3 1.60000+ 1 2.40000+ 1 1.61344- 2 1.95355- 3 1.60000+ 1 2.50000+ 1 3.67953- 3 1.96570- 3 1.60000+ 1 2.70000+ 1 1.47358- 5 2.04405- 3 1.60000+ 1 2.90000+ 1 1.52513- 4 2.10735- 3 1.60000+ 1 3.00000+ 1 1.10517- 4 2.16774- 3 1.60000+ 1 3.20000+ 1 3.56103- 3 2.26182- 3 1.60000+ 1 3.30000+ 1 4.48699- 4 2.27083- 3 1.60000+ 1 3.50000+ 1 2.72615- 4 2.37018- 3 1.60000+ 1 3.60000+ 1 5.08377- 5 2.37127- 3 1.60000+ 1 4.10000+ 1 3.68390- 6 2.32591- 3 1.60000+ 1 4.30000+ 1 2.50513- 5 2.34478- 3 1.60000+ 1 4.40000+ 1 1.54727- 5 2.35505- 3 1.60000+ 1 4.60000+ 1 1.98940- 5 2.37555- 3 1.60000+ 1 4.70000+ 1 2.21041- 6 2.37619- 3 1.80000+ 1 1.80000+ 1 3.55144- 4 1.22020- 3 1.80000+ 1 1.90000+ 1 3.26259- 3 1.46890- 3 1.80000+ 1 2.10000+ 1 2.55427- 2 1.72676- 3 1.80000+ 1 2.20000+ 1 1.45219- 3 1.77241- 3 1.80000+ 1 2.40000+ 1 1.20229- 2 2.11295- 3 1.80000+ 1 2.50000+ 1 6.55597- 3 2.12510- 3 1.80000+ 1 2.70000+ 1 1.03889- 4 2.20345- 3 1.80000+ 1 2.90000+ 1 1.43671- 4 2.26675- 3 1.80000+ 1 3.00000+ 1 5.57012- 4 2.32714- 3 1.80000+ 1 3.20000+ 1 3.19703- 3 2.42122- 3 1.80000+ 1 3.30000+ 1 2.23254- 4 2.43023- 3 1.80000+ 1 3.50000+ 1 1.96722- 4 2.52958- 3 1.80000+ 1 3.60000+ 1 1.06094- 4 2.53067- 3 1.80000+ 1 4.10000+ 1 1.84197- 5 2.48531- 3 1.80000+ 1 4.30000+ 1 2.35769- 5 2.50418- 3 1.80000+ 1 4.40000+ 1 8.03112- 5 2.51445- 3 1.80000+ 1 4.60000+ 1 1.76827- 5 2.53495- 3 1.80000+ 1 4.70000+ 1 1.47356- 6 2.53559- 3 1.80000+ 1 5.80000+ 1 2.21038- 6 2.53382- 3 1.90000+ 1 1.90000+ 1 1.13395- 3 1.71760- 3 1.90000+ 1 2.10000+ 1 4.87222- 2 1.97546- 3 1.90000+ 1 2.20000+ 1 1.85527- 3 2.02111- 3 1.90000+ 1 2.40000+ 1 1.98788- 3 2.36165- 3 1.90000+ 1 2.50000+ 1 1.63348- 3 2.37380- 3 1.90000+ 1 2.70000+ 1 1.35565- 4 2.45215- 3 1.90000+ 1 2.90000+ 1 4.69323- 4 2.51545- 3 1.90000+ 1 3.00000+ 1 3.69875- 4 2.57584- 3 1.90000+ 1 3.20000+ 1 6.17792- 3 2.66992- 3 1.90000+ 1 3.30000+ 1 2.65986- 4 2.67893- 3 1.90000+ 1 3.50000+ 1 2.57870- 5 2.77828- 3 1.90000+ 1 3.60000+ 1 1.91567- 5 2.77937- 3 1.90000+ 1 4.10000+ 1 2.57870- 5 2.73401- 3 1.90000+ 1 4.30000+ 1 7.22037- 5 2.75288- 3 1.90000+ 1 4.40000+ 1 5.30490- 5 2.76315- 3 1.90000+ 1 4.60000+ 1 3.46294- 5 2.78365- 3 1.90000+ 1 4.70000+ 1 1.47356- 6 2.78429- 3 1.90000+ 1 5.80000+ 1 2.21038- 6 2.78252- 3 2.10000+ 1 2.10000+ 1 4.52543- 2 2.23332- 3 2.10000+ 1 2.20000+ 1 8.83582- 2 2.27897- 3 2.10000+ 1 2.40000+ 1 5.38026- 2 2.61951- 3 2.10000+ 1 2.50000+ 1 6.35229- 2 2.63166- 3 2.10000+ 1 2.70000+ 1 6.40852- 3 2.71001- 3 2.10000+ 1 2.90000+ 1 6.03146- 3 2.77331- 3 2.10000+ 1 3.00000+ 1 1.11249- 2 2.83370- 3 2.10000+ 1 3.20000+ 1 1.42646- 2 2.92778- 3 2.10000+ 1 3.30000+ 1 1.62482- 2 2.93679- 3 2.10000+ 1 3.50000+ 1 1.24221- 3 3.03614- 3 2.10000+ 1 3.60000+ 1 1.43520- 3 3.03723- 3 2.10000+ 1 4.10000+ 1 1.26506- 3 2.99187- 3 2.10000+ 1 4.30000+ 1 1.02349- 3 3.01074- 3 2.10000+ 1 4.40000+ 1 1.70269- 3 3.02101- 3 2.10000+ 1 4.60000+ 1 8.32556- 5 3.04151- 3 2.10000+ 1 4.70000+ 1 8.54656- 5 3.04215- 3 2.10000+ 1 5.80000+ 1 1.25990- 4 3.04038- 3 2.20000+ 1 2.20000+ 1 1.38663- 3 2.32462- 3 2.20000+ 1 2.40000+ 1 6.35281- 2 2.66516- 3 2.20000+ 1 2.50000+ 1 2.98554- 3 2.67731- 3 2.20000+ 1 2.70000+ 1 3.67657- 4 2.75566- 3 2.20000+ 1 2.90000+ 1 1.91566- 4 2.81896- 3 2.20000+ 1 3.00000+ 1 3.35971- 4 2.87935- 3 2.20000+ 1 3.20000+ 1 1.12292- 2 2.97343- 3 2.20000+ 1 3.30000+ 1 4.12605- 4 2.98244- 3 2.20000+ 1 3.50000+ 1 1.34909- 3 3.08179- 3 2.20000+ 1 3.60000+ 1 5.59949- 5 3.08288- 3 2.20000+ 1 4.10000+ 1 6.41002- 5 3.03752- 3 2.20000+ 1 4.30000+ 1 2.94710- 5 3.05639- 3 2.20000+ 1 4.40000+ 1 4.93646- 5 3.06666- 3 2.20000+ 1 4.60000+ 1 6.33622- 5 3.08716- 3 2.20000+ 1 4.70000+ 1 2.21037- 6 3.08780- 3 2.20000+ 1 5.80000+ 1 5.89450- 6 3.08603- 3 2.40000+ 1 2.40000+ 1 6.28978- 2 3.00570- 3 2.40000+ 1 2.50000+ 1 1.79976- 1 3.01785- 3 2.40000+ 1 2.70000+ 1 3.93297- 3 3.09620- 3 2.40000+ 1 2.90000+ 1 2.23831- 3 3.15950- 3 2.40000+ 1 3.00000+ 1 4.68599- 4 3.21989- 3 2.40000+ 1 3.20000+ 1 7.50638- 3 3.31397- 3 2.40000+ 1 3.30000+ 1 1.10743- 2 3.32298- 3 2.40000+ 1 3.50000+ 1 2.56987- 3 3.42233- 3 2.40000+ 1 3.60000+ 1 3.84527- 3 3.42342- 3 2.40000+ 1 4.10000+ 1 7.84667- 4 3.37806- 3 2.40000+ 1 4.30000+ 1 3.72826- 4 3.39693- 3 2.40000+ 1 4.40000+ 1 7.29430- 5 3.40720- 3 2.40000+ 1 4.60000+ 1 4.27327- 5 3.42770- 3 2.40000+ 1 4.70000+ 1 5.82045- 5 3.42834- 3 2.40000+ 1 5.80000+ 1 7.80983- 5 3.42657- 3 2.50000+ 1 2.50000+ 1 3.88216- 3 3.03000- 3 2.50000+ 1 2.70000+ 1 6.47665- 4 3.10835- 3 2.50000+ 1 2.90000+ 1 6.46113- 4 3.17165- 3 2.50000+ 1 3.00000+ 1 3.50683- 4 3.23204- 3 2.50000+ 1 3.20000+ 1 7.63231- 3 3.32612- 3 2.50000+ 1 3.30000+ 1 5.04155- 4 3.33513- 3 2.50000+ 1 3.50000+ 1 3.40339- 3 3.43448- 3 2.50000+ 1 3.60000+ 1 1.52706- 4 3.43557- 3 2.50000+ 1 4.10000+ 1 1.18940- 4 3.39021- 3 2.50000+ 1 4.30000+ 1 9.36194- 5 3.40908- 3 2.50000+ 1 4.40000+ 1 5.21804- 5 3.41935- 3 2.50000+ 1 4.60000+ 1 4.22056- 5 3.43985- 3 2.50000+ 1 4.70000+ 1 2.30212- 6 3.44049- 3 2.50000+ 1 5.80000+ 1 1.15102- 5 3.43872- 3 2.70000+ 1 2.70000+ 1 1.47365- 6 3.18670- 3 2.70000+ 1 2.90000+ 1 2.35784- 5 3.25000- 3 2.70000+ 1 3.00000+ 1 2.13682- 5 3.31039- 3 2.70000+ 1 3.20000+ 1 8.16402- 4 3.40447- 3 2.70000+ 1 3.30000+ 1 5.59986- 5 3.41348- 3 2.70000+ 1 3.50000+ 1 7.07351- 5 3.51283- 3 2.70000+ 1 3.60000+ 1 1.10522- 5 3.51392- 3 2.70000+ 1 4.10000+ 1 7.36834- 7 3.46856- 3 2.70000+ 1 4.30000+ 1 3.68407- 6 3.48743- 3 2.70000+ 1 4.40000+ 1 2.94729- 6 3.49770- 3 2.70000+ 1 4.60000+ 1 4.42094- 6 3.51820- 3 2.90000+ 1 2.90000+ 1 1.54724- 5 3.31330- 3 2.90000+ 1 3.00000+ 1 8.69419- 5 3.37369- 3 2.90000+ 1 3.20000+ 1 7.58150- 4 3.46777- 3 2.90000+ 1 3.30000+ 1 3.38931- 5 3.47678- 3 2.90000+ 1 3.50000+ 1 3.83132- 5 3.57613- 3 2.90000+ 1 3.60000+ 1 1.03154- 5 3.57722- 3 2.90000+ 1 4.10000+ 1 4.42064- 6 3.53186- 3 2.90000+ 1 4.30000+ 1 5.15737- 6 3.55073- 3 2.90000+ 1 4.40000+ 1 1.25254- 5 3.56100- 3 2.90000+ 1 4.60000+ 1 4.42064- 6 3.58150- 3 2.90000+ 1 5.80000+ 1 7.36784- 7 3.58037- 3 3.00000+ 1 3.00000+ 1 3.09432- 5 3.43408- 3 3.00000+ 1 3.20000+ 1 1.41832- 3 3.52816- 3 3.00000+ 1 3.30000+ 1 5.15739- 5 3.53717- 3 3.00000+ 1 3.50000+ 1 7.36787- 6 3.63652- 3 3.00000+ 1 3.60000+ 1 4.42066- 6 3.63761- 3 3.00000+ 1 4.10000+ 1 4.42066- 6 3.59225- 3 3.00000+ 1 4.30000+ 1 1.32615- 5 3.61112- 3 3.00000+ 1 4.40000+ 1 8.84142- 6 3.62139- 3 3.00000+ 1 4.60000+ 1 8.10470- 6 3.64189- 3 3.00000+ 1 5.80000+ 1 7.36787- 7 3.64076- 3 3.20000+ 1 3.20000+ 1 1.07644- 3 3.62224- 3 3.20000+ 1 3.30000+ 1 2.07708- 3 3.63125- 3 3.20000+ 1 3.50000+ 1 1.73141- 4 3.73060- 3 3.20000+ 1 3.60000+ 1 1.67986- 4 3.73169- 3 3.20000+ 1 4.10000+ 1 1.61361- 4 3.68633- 3 3.20000+ 1 4.30000+ 1 1.28940- 4 3.70520- 3 3.20000+ 1 4.40000+ 1 2.17353- 4 3.71547- 3 3.20000+ 1 4.60000+ 1 1.25255- 5 3.73597- 3 3.20000+ 1 4.70000+ 1 1.10515- 5 3.73661- 3 3.20000+ 1 5.80000+ 1 1.62096- 5 3.73484- 3 3.30000+ 1 3.30000+ 1 3.02846- 5 3.64026- 3 3.30000+ 1 3.50000+ 1 2.38594- 4 3.73961- 3 3.30000+ 1 3.60000+ 1 9.60272- 6 3.74070- 3 3.30000+ 1 4.10000+ 1 9.60272- 6 3.69534- 3 3.30000+ 1 4.30000+ 1 5.17062- 6 3.71421- 3 3.30000+ 1 4.40000+ 1 7.38676- 6 3.72448- 3 3.30000+ 1 4.60000+ 1 1.18187- 5 3.74498- 3 3.30000+ 1 5.80000+ 1 7.38676- 7 3.74385- 3 3.50000+ 1 3.50000+ 1 1.33794- 5 3.83896- 3 3.50000+ 1 3.60000+ 1 7.21028- 5 3.84005- 3 3.50000+ 1 4.10000+ 1 1.41239- 5 3.79469- 3 3.50000+ 1 4.30000+ 1 6.69019- 6 3.81356- 3 3.50000+ 1 4.40000+ 1 1.48665- 6 3.82383- 3 3.50000+ 1 4.60000+ 1 7.43336- 7 3.84433- 3 3.50000+ 1 4.70000+ 1 1.48665- 6 3.84497- 3 3.50000+ 1 5.80000+ 1 1.48665- 6 3.84320- 3 3.60000+ 1 3.60000+ 1 7.20098- 7 3.84114- 3 3.60000+ 1 4.10000+ 1 2.16031- 6 3.79578- 3 3.60000+ 1 4.30000+ 1 1.44018- 6 3.81465- 3 3.60000+ 1 4.40000+ 1 7.20098- 7 3.82492- 3 3.60000+ 1 4.60000+ 1 7.20098- 7 3.84542- 3 4.10000+ 1 4.30000+ 1 7.36798- 7 3.76929- 3 4.10000+ 1 4.40000+ 1 7.36798- 7 3.77956- 3 4.10000+ 1 4.60000+ 1 7.36798- 7 3.80006- 3 4.30000+ 1 4.30000+ 1 7.36795- 7 3.78816- 3 4.30000+ 1 4.40000+ 1 2.21040- 6 3.79843- 3 4.30000+ 1 4.60000+ 1 7.36795- 7 3.81893- 3 4.40000+ 1 4.40000+ 1 6.57037- 7 3.80870- 3 4.40000+ 1 4.60000+ 1 1.31406- 6 3.82920- 3 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.59608- 3 2.59730- 3 2.40000+ 1 2.53127- 3 3.24135- 3 2.50000+ 1 4.95835- 2 3.25350- 3 3.00000+ 1 3.73956- 4 3.45554- 3 3.50000+ 1 6.60423- 5 3.65798- 3 3.60000+ 1 1.27559- 3 3.65907- 3 4.40000+ 1 6.01434- 5 3.64285- 3 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 1.64424- 5 7.10300- 4 1.60000+ 1 1.80000+ 1 2.68306- 4 8.69700- 4 1.60000+ 1 1.90000+ 1 1.52541- 3 1.11840- 3 1.60000+ 1 2.10000+ 1 3.11446- 3 1.37626- 3 1.60000+ 1 2.20000+ 1 3.12597- 2 1.42191- 3 1.60000+ 1 2.40000+ 1 4.08200- 3 1.76245- 3 1.60000+ 1 2.50000+ 1 1.69268- 2 1.77460- 3 1.60000+ 1 2.70000+ 1 1.49474- 5 1.85295- 3 1.60000+ 1 2.90000+ 1 2.09272- 5 1.91625- 3 1.60000+ 1 3.00000+ 1 2.39906- 4 1.97664- 3 1.60000+ 1 3.20000+ 1 3.87136- 4 2.07072- 3 1.60000+ 1 3.30000+ 1 3.93946- 3 2.07973- 3 1.60000+ 1 3.50000+ 1 5.45584- 5 2.17908- 3 1.60000+ 1 3.60000+ 1 2.55599- 4 2.18017- 3 1.60000+ 1 4.10000+ 1 3.73685- 6 2.13481- 3 1.60000+ 1 4.30000+ 1 2.98948- 6 2.15368- 3 1.60000+ 1 4.40000+ 1 3.43797- 5 2.16395- 3 1.60000+ 1 4.60000+ 1 2.24211- 6 2.18445- 3 1.60000+ 1 4.70000+ 1 1.94313- 5 2.18509- 3 1.80000+ 1 1.80000+ 1 1.12110- 5 1.02910- 3 1.80000+ 1 1.90000+ 1 4.68763- 3 1.27780- 3 1.80000+ 1 2.10000+ 1 2.29444- 4 1.53566- 3 1.80000+ 1 2.20000+ 1 3.21989- 2 1.58131- 3 1.80000+ 1 2.40000+ 1 2.32591- 3 1.92185- 3 1.80000+ 1 2.50000+ 1 1.03594- 2 1.93400- 3 1.80000+ 1 2.70000+ 1 3.36333- 5 2.01235- 3 1.80000+ 1 2.90000+ 1 2.98949- 6 2.07565- 3 1.80000+ 1 3.00000+ 1 7.36921- 4 2.13604- 3 1.80000+ 1 3.20000+ 1 5.97909- 6 2.23012- 3 1.80000+ 1 3.30000+ 1 4.04638- 3 2.23913- 3 1.80000+ 1 3.50000+ 1 3.58738- 5 2.33848- 3 1.80000+ 1 3.60000+ 1 1.53216- 4 2.33957- 3 1.80000+ 1 4.10000+ 1 5.97909- 6 2.29421- 3 1.80000+ 1 4.30000+ 1 7.47384- 7 2.31308- 3 1.80000+ 1 4.40000+ 1 1.05371- 4 2.32335- 3 1.80000+ 1 4.70000+ 1 2.01788- 5 2.34449- 3 1.80000+ 1 5.80000+ 1 7.47384- 7 2.34272- 3 1.90000+ 1 1.90000+ 1 2.84960- 3 1.52650- 3 1.90000+ 1 2.10000+ 1 2.88692- 3 1.78436- 3 1.90000+ 1 2.20000+ 1 4.63032- 2 1.83001- 3 1.90000+ 1 2.40000+ 1 1.92227- 3 2.17055- 3 1.90000+ 1 2.50000+ 1 3.02977- 3 2.18270- 3 1.90000+ 1 2.70000+ 1 3.02679- 4 2.26105- 3 1.90000+ 1 2.90000+ 1 6.17331- 4 2.32435- 3 1.90000+ 1 3.00000+ 1 9.19266- 4 2.38474- 3 1.90000+ 1 3.20000+ 1 4.56649- 4 2.47882- 3 1.90000+ 1 3.30000+ 1 5.79203- 3 2.48783- 3 1.90000+ 1 3.50000+ 1 2.46634- 5 2.58718- 3 1.90000+ 1 3.60000+ 1 3.88653- 5 2.58827- 3 1.90000+ 1 4.10000+ 1 5.75470- 5 2.54291- 3 1.90000+ 1 4.30000+ 1 9.41680- 5 2.56178- 3 1.90000+ 1 4.40000+ 1 1.32281- 4 2.57205- 3 1.90000+ 1 4.60000+ 1 2.98947- 6 2.59255- 3 1.90000+ 1 4.70000+ 1 2.91472- 5 2.59319- 3 1.90000+ 1 5.80000+ 1 5.97904- 6 2.59142- 3 2.10000+ 1 2.10000+ 1 6.33003- 4 2.04222- 3 2.10000+ 1 2.20000+ 1 6.60658- 2 2.08787- 3 2.10000+ 1 2.40000+ 1 2.75476- 3 2.42841- 3 2.10000+ 1 2.50000+ 1 3.81251- 2 2.44056- 3 2.10000+ 1 2.70000+ 1 3.21375- 4 2.51891- 3 2.10000+ 1 2.90000+ 1 6.42721- 5 2.58221- 3 2.10000+ 1 3.00000+ 1 4.70101- 4 2.64260- 3 2.10000+ 1 3.20000+ 1 1.80868- 4 2.73668- 3 2.10000+ 1 3.30000+ 1 8.36959- 3 2.74569- 3 2.10000+ 1 3.50000+ 1 5.67985- 5 2.84504- 3 2.10000+ 1 3.60000+ 1 7.86227- 4 2.84613- 3 2.10000+ 1 4.10000+ 1 5.45571- 5 2.80077- 3 2.10000+ 1 4.30000+ 1 1.04623- 5 2.81964- 3 2.10000+ 1 4.40000+ 1 6.80103- 5 2.82991- 3 2.10000+ 1 4.60000+ 1 7.47365- 7 2.85041- 3 2.10000+ 1 4.70000+ 1 4.18525- 5 2.85105- 3 2.10000+ 1 5.80000+ 1 5.23139- 6 2.84928- 3 2.20000+ 1 2.20000+ 1 7.28397- 2 2.13352- 3 2.20000+ 1 2.40000+ 1 6.01007- 2 2.47406- 3 2.20000+ 1 2.50000+ 1 9.68585- 2 2.48621- 3 2.20000+ 1 2.70000+ 1 6.74752- 3 2.56456- 3 2.20000+ 1 2.90000+ 1 7.23086- 3 2.62786- 3 2.20000+ 1 3.00000+ 1 1.06732- 2 2.68825- 3 2.20000+ 1 3.20000+ 1 1.21066- 2 2.78233- 3 2.20000+ 1 3.30000+ 1 2.26222- 2 2.79134- 3 2.20000+ 1 3.50000+ 1 1.38041- 3 2.89069- 3 2.20000+ 1 3.60000+ 1 2.10021- 3 2.89178- 3 2.20000+ 1 4.10000+ 1 1.32433- 3 2.84642- 3 2.20000+ 1 4.30000+ 1 1.21523- 3 2.86529- 3 2.20000+ 1 4.40000+ 1 1.63682- 3 2.87556- 3 2.20000+ 1 4.60000+ 1 7.17487- 5 2.89606- 3 2.20000+ 1 4.70000+ 1 1.16599- 4 2.89670- 3 2.20000+ 1 5.80000+ 1 1.32284- 4 2.89493- 3 2.40000+ 1 2.40000+ 1 5.30719- 3 2.81460- 3 2.40000+ 1 2.50000+ 1 1.68379- 1 2.82675- 3 2.40000+ 1 2.70000+ 1 7.69082- 4 2.90510- 3 2.40000+ 1 2.90000+ 1 4.79814- 4 2.96840- 3 2.40000+ 1 3.00000+ 1 3.74460- 4 3.02879- 3 2.40000+ 1 3.20000+ 1 4.85065- 4 3.12287- 3 2.40000+ 1 3.30000+ 1 7.15487- 3 3.13188- 3 2.40000+ 1 3.50000+ 1 2.15998- 4 3.23123- 3 2.40000+ 1 3.60000+ 1 2.97904- 3 3.23232- 3 2.40000+ 1 4.10000+ 1 1.44247- 4 3.18696- 3 2.40000+ 1 4.30000+ 1 7.99697- 5 3.20583- 3 2.40000+ 1 4.40000+ 1 5.60539- 5 3.21610- 3 2.40000+ 1 4.60000+ 1 2.98956- 6 3.23660- 3 2.40000+ 1 4.70000+ 1 3.58746- 5 3.23724- 3 2.40000+ 1 5.80000+ 1 1.42003- 5 3.23547- 3 2.50000+ 1 2.50000+ 1 1.14853- 1 2.83890- 3 2.50000+ 1 2.70000+ 1 4.07337- 3 2.91725- 3 2.50000+ 1 2.90000+ 1 2.37599- 3 2.98055- 3 2.50000+ 1 3.00000+ 1 6.65195- 4 3.04094- 3 2.50000+ 1 3.20000+ 1 6.46434- 3 3.13502- 3 2.50000+ 1 3.30000+ 1 1.39492- 2 3.14403- 3 2.50000+ 1 3.50000+ 1 3.61137- 3 3.24338- 3 2.50000+ 1 3.60000+ 1 4.46865- 3 3.24447- 3 2.50000+ 1 4.10000+ 1 8.10942- 4 3.19911- 3 2.50000+ 1 4.30000+ 1 4.02860- 4 3.21798- 3 2.50000+ 1 4.40000+ 1 1.02395- 4 3.22825- 3 2.50000+ 1 4.60000+ 1 3.81159- 5 3.24875- 3 2.50000+ 1 4.70000+ 1 7.17490- 5 3.24939- 3 2.50000+ 1 5.80000+ 1 8.14674- 5 3.24762- 3 2.70000+ 1 2.70000+ 1 7.47396- 7 2.99560- 3 2.70000+ 1 2.90000+ 1 7.47396- 7 3.05890- 3 2.70000+ 1 3.00000+ 1 4.93271- 5 3.11929- 3 2.70000+ 1 3.20000+ 1 4.63391- 5 3.21337- 3 2.70000+ 1 3.30000+ 1 8.55757- 4 3.22238- 3 2.70000+ 1 3.50000+ 1 1.34537- 5 3.32173- 3 2.70000+ 1 3.60000+ 1 6.87597- 5 3.32282- 3 2.70000+ 1 4.40000+ 1 7.47396- 6 3.30660- 3 2.70000+ 1 4.70000+ 1 4.48432- 6 3.32774- 3 2.90000+ 1 3.00000+ 1 1.03884- 4 3.18259- 3 2.90000+ 1 3.20000+ 1 3.73695- 6 3.27667- 3 2.90000+ 1 3.30000+ 1 9.22292- 4 3.28568- 3 2.90000+ 1 3.50000+ 1 7.47401- 6 3.38503- 3 2.90000+ 1 3.60000+ 1 3.73695- 5 3.38612- 3 2.90000+ 1 4.40000+ 1 1.49478- 5 3.36990- 3 2.90000+ 1 4.70000+ 1 4.48435- 6 3.39104- 3 3.00000+ 1 3.00000+ 1 7.39935- 5 3.24298- 3 3.00000+ 1 3.20000+ 1 7.99695- 5 3.33706- 3 3.00000+ 1 3.30000+ 1 1.33932- 3 3.34607- 3 3.00000+ 1 3.50000+ 1 5.23163- 6 3.44542- 3 3.00000+ 1 3.60000+ 1 9.71607- 6 3.44651- 3 3.00000+ 1 4.10000+ 1 9.71607- 6 3.40115- 3 3.00000+ 1 4.30000+ 1 1.64428- 5 3.42002- 3 3.00000+ 1 4.40000+ 1 2.16743- 5 3.43029- 3 3.00000+ 1 4.60000+ 1 7.47400- 7 3.45079- 3 3.00000+ 1 4.70000+ 1 6.72660- 6 3.45143- 3 3.00000+ 1 5.80000+ 1 7.47400- 7 3.44966- 3 3.20000+ 1 3.20000+ 1 1.19575- 5 3.43114- 3 3.20000+ 1 3.30000+ 1 1.54259- 3 3.44015- 3 3.20000+ 1 3.50000+ 1 1.04625- 5 3.53950- 3 3.20000+ 1 3.60000+ 1 1.36024- 4 3.54059- 3 3.20000+ 1 4.10000+ 1 8.22118- 6 3.49523- 3 3.20000+ 1 4.30000+ 1 7.47382- 7 3.51410- 3 3.20000+ 1 4.40000+ 1 1.19575- 5 3.52437- 3 3.20000+ 1 4.70000+ 1 7.47382- 6 3.54551- 3 3.20000+ 1 5.80000+ 1 7.47382- 7 3.54374- 3 3.30000+ 1 3.30000+ 1 1.68832- 3 3.44916- 3 3.30000+ 1 3.50000+ 1 1.65914- 4 3.54851- 3 3.30000+ 1 3.60000+ 1 3.01193- 4 3.54960- 3 3.30000+ 1 4.10000+ 1 1.68167- 4 3.50424- 3 3.30000+ 1 4.30000+ 1 1.55451- 4 3.52311- 3 3.30000+ 1 4.40000+ 1 2.05531- 4 3.53338- 3 3.30000+ 1 4.60000+ 1 8.96861- 6 3.55388- 3 3.30000+ 1 4.70000+ 1 1.71900- 5 3.55452- 3 3.30000+ 1 5.80000+ 1 1.64425- 5 3.55275- 3 3.50000+ 1 3.50000+ 1 8.48174- 7 3.64786- 3 3.50000+ 1 3.60000+ 1 7.37898- 5 3.64895- 3 3.50000+ 1 4.10000+ 1 2.54449- 6 3.60359- 3 3.50000+ 1 4.30000+ 1 1.69632- 6 3.62246- 3 3.50000+ 1 4.40000+ 1 8.48174- 7 3.63273- 3 3.50000+ 1 4.70000+ 1 8.48174- 7 3.65387- 3 3.60000+ 1 3.60000+ 1 2.92744- 5 3.65004- 3 3.60000+ 1 4.10000+ 1 1.42421- 5 3.60468- 3 3.60000+ 1 4.30000+ 1 7.12072- 6 3.62355- 3 3.60000+ 1 4.40000+ 1 1.58236- 6 3.63382- 3 3.60000+ 1 4.60000+ 1 7.91191- 7 3.65432- 3 3.60000+ 1 4.70000+ 1 1.58236- 6 3.65496- 3 3.60000+ 1 5.80000+ 1 1.58236- 6 3.65319- 3 4.10000+ 1 4.40000+ 1 1.49478- 6 3.58846- 3 4.10000+ 1 4.70000+ 1 7.47400- 7 3.60960- 3 4.30000+ 1 4.40000+ 1 2.24217- 6 3.60733- 3 4.30000+ 1 4.70000+ 1 7.47400- 7 3.62847- 3 4.40000+ 1 4.40000+ 1 1.49478- 6 3.61760- 3 4.40000+ 1 4.70000+ 1 7.47400- 7 3.63874- 3 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.41410- 5 1.59400- 4 1.90000+ 1 5.05130- 4 4.08100- 4 2.90000+ 1 3.44240- 4 1.20595- 3 3.00000+ 1 7.16330- 5 1.26634- 3 4.30000+ 1 7.07360- 5 1.44338- 3 4.40000+ 1 1.76230- 5 1.45365- 3 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.20000+ 1 6.40222- 2 4.09200- 5 1.80000+ 1 3.30000+ 1 9.87581- 2 4.99300- 5 1.80000+ 1 3.50000+ 1 8.13515- 3 1.49280- 4 1.80000+ 1 3.60000+ 1 8.72098- 3 1.50370- 4 1.80000+ 1 4.10000+ 1 9.18750- 3 1.05010- 4 1.80000+ 1 4.30000+ 1 7.43804- 3 1.23880- 4 1.80000+ 1 4.40000+ 1 1.00802- 2 1.34150- 4 1.80000+ 1 4.60000+ 1 3.19555- 4 1.54650- 4 1.80000+ 1 4.70000+ 1 4.40546- 4 1.55290- 4 1.80000+ 1 5.80000+ 1 8.87773- 4 1.53520- 4 1.90000+ 1 2.40000+ 1 5.28054- 3 0.00000+ 0 1.90000+ 1 2.50000+ 1 1.73533- 2 0.00000+ 0 1.90000+ 1 2.70000+ 1 3.95844- 2 7.18500- 5 1.90000+ 1 2.90000+ 1 4.82675- 2 1.35150- 4 1.90000+ 1 3.00000+ 1 4.18178- 2 1.95540- 4 1.90000+ 1 3.20000+ 1 3.70499- 2 2.89620- 4 1.90000+ 1 3.30000+ 1 4.61023- 2 2.98630- 4 1.90000+ 1 3.50000+ 1 5.72824- 4 3.97980- 4 1.90000+ 1 3.60000+ 1 9.86154- 4 3.99070- 4 1.90000+ 1 4.10000+ 1 7.72549- 3 3.53710- 4 1.90000+ 1 4.30000+ 1 7.73062- 3 3.72580- 4 1.90000+ 1 4.40000+ 1 6.43936- 3 3.82850- 4 1.90000+ 1 4.60000+ 1 2.04691- 4 4.03350- 4 1.90000+ 1 4.70000+ 1 2.33608- 4 4.03990- 4 1.90000+ 1 5.80000+ 1 7.71671- 4 4.02220- 4 2.10000+ 1 2.40000+ 1 3.63222- 3 2.39210- 4 2.10000+ 1 2.50000+ 1 4.36458- 3 2.51360- 4 2.10000+ 1 2.70000+ 1 1.66639- 2 3.29710- 4 2.10000+ 1 2.90000+ 1 5.96712- 3 3.93010- 4 2.10000+ 1 3.00000+ 1 5.44500- 3 4.53400- 4 2.10000+ 1 3.20000+ 1 1.94650- 3 5.47480- 4 2.10000+ 1 3.30000+ 1 3.15477- 3 5.56490- 4 2.10000+ 1 3.50000+ 1 4.68768- 4 6.55840- 4 2.10000+ 1 3.60000+ 1 4.57445- 4 6.56930- 4 2.10000+ 1 4.10000+ 1 2.37232- 3 6.11570- 4 2.10000+ 1 4.30000+ 1 9.38356- 4 6.30440- 4 2.10000+ 1 4.40000+ 1 6.83803- 4 6.40710- 4 2.10000+ 1 4.60000+ 1 1.06189- 5 6.61210- 4 2.10000+ 1 4.70000+ 1 1.56490- 5 6.61850- 4 2.10000+ 1 5.80000+ 1 2.25933- 4 6.60080- 4 2.20000+ 1 2.40000+ 1 5.07908- 3 2.84860- 4 2.20000+ 1 2.50000+ 1 6.27365- 3 2.97010- 4 2.20000+ 1 2.70000+ 1 2.31850- 2 3.75360- 4 2.20000+ 1 2.90000+ 1 9.10675- 3 4.38660- 4 2.20000+ 1 3.00000+ 1 6.59770- 3 4.99050- 4 2.20000+ 1 3.20000+ 1 2.47572- 3 5.93130- 4 2.20000+ 1 3.30000+ 1 3.35784- 3 6.02140- 4 2.20000+ 1 3.50000+ 1 5.00482- 4 7.01490- 4 2.20000+ 1 3.60000+ 1 6.91909- 4 7.02580- 4 2.20000+ 1 4.10000+ 1 3.27956- 3 6.57220- 4 2.20000+ 1 4.30000+ 1 1.27521- 3 6.76090- 4 2.20000+ 1 4.40000+ 1 9.25105- 4 6.86360- 4 2.20000+ 1 4.60000+ 1 1.38322- 5 7.06860- 4 2.20000+ 1 4.70000+ 1 1.70461- 5 7.07500- 4 2.20000+ 1 5.80000+ 1 3.12138- 4 7.05730- 4 2.40000+ 1 2.40000+ 1 8.84021- 3 6.25400- 4 2.40000+ 1 2.50000+ 1 1.65951- 2 6.37550- 4 2.40000+ 1 2.70000+ 1 2.05055- 2 7.15900- 4 2.40000+ 1 2.90000+ 1 2.87562- 3 7.79200- 4 2.40000+ 1 3.00000+ 1 1.27360- 2 8.39590- 4 2.40000+ 1 3.20000+ 1 1.21150- 3 9.33670- 4 2.40000+ 1 3.30000+ 1 7.73522- 4 9.42680- 4 2.40000+ 1 3.50000+ 1 1.98260- 4 1.04203- 3 2.40000+ 1 3.60000+ 1 1.83730- 4 1.04312- 3 2.40000+ 1 4.10000+ 1 2.45353- 3 9.97760- 4 2.40000+ 1 4.30000+ 1 3.60337- 4 1.01663- 3 2.40000+ 1 4.40000+ 1 1.48318- 3 1.02690- 3 2.40000+ 1 4.60000+ 1 6.70659- 6 1.04740- 3 2.40000+ 1 4.70000+ 1 3.77246- 6 1.04804- 3 2.40000+ 1 5.80000+ 1 2.27046- 4 1.04627- 3 2.50000+ 1 2.50000+ 1 1.45548- 2 6.49700- 4 2.50000+ 1 2.70000+ 1 2.65027- 2 7.28050- 4 2.50000+ 1 2.90000+ 1 1.33898- 3 7.91350- 4 2.50000+ 1 3.00000+ 1 1.33546- 2 8.51740- 4 2.50000+ 1 3.20000+ 1 6.97760- 4 9.45820- 4 2.50000+ 1 3.30000+ 1 1.72144- 3 9.54830- 4 2.50000+ 1 3.50000+ 1 1.92955- 4 1.05418- 3 2.50000+ 1 3.60000+ 1 3.19259- 4 1.05527- 3 2.50000+ 1 4.10000+ 1 3.15671- 3 1.00991- 3 2.50000+ 1 4.30000+ 1 1.62771- 4 1.02878- 3 2.50000+ 1 4.40000+ 1 1.48792- 3 1.03905- 3 2.50000+ 1 4.60000+ 1 3.91213- 6 1.05955- 3 2.50000+ 1 4.70000+ 1 8.38313- 6 1.06019- 3 2.50000+ 1 5.80000+ 1 2.91879- 4 1.05842- 3 2.70000+ 1 2.70000+ 1 1.73039- 2 8.06400- 4 2.70000+ 1 2.90000+ 1 2.58647- 2 8.69700- 4 2.70000+ 1 3.00000+ 1 4.04238- 2 9.30090- 4 2.70000+ 1 3.20000+ 1 4.06786- 2 1.02417- 3 2.70000+ 1 3.30000+ 1 5.61616- 2 1.03318- 3 2.70000+ 1 3.50000+ 1 6.94704- 3 1.13253- 3 2.70000+ 1 3.60000+ 1 8.62752- 3 1.13362- 3 2.70000+ 1 4.10000+ 1 5.61415- 3 1.08826- 3 2.70000+ 1 4.30000+ 1 4.38310- 3 1.10713- 3 2.70000+ 1 4.40000+ 1 6.15672- 3 1.11740- 3 2.70000+ 1 4.60000+ 1 2.42184- 4 1.13790- 3 2.70000+ 1 4.70000+ 1 2.98645- 4 1.13854- 3 2.70000+ 1 5.80000+ 1 5.48111- 4 1.13677- 3 2.90000+ 1 2.90000+ 1 1.99397- 3 9.33000- 4 2.90000+ 1 3.00000+ 1 9.13932- 3 9.93390- 4 2.90000+ 1 3.20000+ 1 3.65829- 3 1.08747- 3 2.90000+ 1 3.30000+ 1 2.53117- 3 1.09648- 3 2.90000+ 1 3.50000+ 1 3.89678- 4 1.19583- 3 2.90000+ 1 3.60000+ 1 2.36730- 4 1.19692- 3 2.90000+ 1 4.10000+ 1 3.14845- 3 1.15156- 3 2.90000+ 1 4.30000+ 1 5.44467- 4 1.17043- 3 2.90000+ 1 4.40000+ 1 1.03797- 3 1.18070- 3 2.90000+ 1 4.60000+ 1 2.00303- 5 1.20120- 3 2.90000+ 1 4.70000+ 1 1.27466- 5 1.20184- 3 2.90000+ 1 5.80000+ 1 2.93172- 4 1.20007- 3 3.00000+ 1 3.00000+ 1 5.03497- 3 1.05378- 3 3.00000+ 1 3.20000+ 1 2.28896- 3 1.14786- 3 3.00000+ 1 3.30000+ 1 5.85802- 3 1.15687- 3 3.00000+ 1 3.50000+ 1 1.86465- 3 1.25622- 3 3.00000+ 1 3.60000+ 1 2.27807- 3 1.25731- 3 3.00000+ 1 4.10000+ 1 5.13145- 3 1.21195- 3 3.00000+ 1 4.30000+ 1 1.37476- 3 1.23082- 3 3.00000+ 1 4.40000+ 1 1.33669- 3 1.24109- 3 3.00000+ 1 4.60000+ 1 1.27466- 5 1.26159- 3 3.00000+ 1 4.70000+ 1 3.09559- 5 1.26223- 3 3.00000+ 1 5.80000+ 1 4.80736- 4 1.26046- 3 3.20000+ 1 3.20000+ 1 1.06177- 3 1.24194- 3 3.20000+ 1 3.30000+ 1 3.32157- 3 1.25095- 3 3.20000+ 1 3.50000+ 1 1.71972- 4 1.35030- 3 3.20000+ 1 3.60000+ 1 1.21498- 4 1.35139- 3 3.20000+ 1 4.10000+ 1 5.15346- 3 1.30603- 3 3.20000+ 1 4.30000+ 1 4.91608- 4 1.32490- 3 3.20000+ 1 4.40000+ 1 2.20573- 4 1.33517- 3 3.20000+ 1 4.60000+ 1 1.12153- 5 1.35567- 3 3.20000+ 1 4.70000+ 1 1.49537- 5 1.35631- 3 3.20000+ 1 5.80000+ 1 4.80391- 4 1.35454- 3 3.30000+ 1 3.30000+ 1 2.11623- 3 1.25996- 3 3.30000+ 1 3.50000+ 1 1.33987- 4 1.35931- 3 3.30000+ 1 3.60000+ 1 2.47773- 4 1.36040- 3 3.30000+ 1 4.10000+ 1 6.97436- 3 1.31504- 3 3.30000+ 1 4.30000+ 1 2.88155- 4 1.33391- 3 3.30000+ 1 4.40000+ 1 6.91905- 4 1.34418- 3 3.30000+ 1 4.60000+ 1 1.65183- 5 1.36468- 3 3.30000+ 1 4.70000+ 1 2.01889- 5 1.36532- 3 3.30000+ 1 5.80000+ 1 6.47887- 4 1.36355- 3 3.50000+ 1 3.50000+ 1 3.76779- 6 1.45866- 3 3.50000+ 1 3.60000+ 1 1.50712- 5 1.45975- 3 3.50000+ 1 4.10000+ 1 8.47773- 4 1.41439- 3 3.50000+ 1 4.30000+ 1 4.89813- 5 1.43326- 3 3.50000+ 1 4.40000+ 1 2.35486- 4 1.44353- 3 3.50000+ 1 5.80000+ 1 7.91207- 5 1.46290- 3 3.60000+ 1 3.60000+ 1 9.36576- 6 1.46084- 3 3.60000+ 1 4.10000+ 1 1.04528- 3 1.41548- 3 3.60000+ 1 4.30000+ 1 2.80978- 5 1.43435- 3 3.60000+ 1 4.40000+ 1 2.80978- 4 1.44462- 3 3.60000+ 1 4.70000+ 1 1.87319- 6 1.46576- 3 3.60000+ 1 5.80000+ 1 9.74099- 5 1.46399- 3 4.10000+ 1 4.10000+ 1 4.31705- 4 1.37012- 3 4.10000+ 1 4.30000+ 1 5.51817- 4 1.38899- 3 4.10000+ 1 4.40000+ 1 7.90221- 4 1.39926- 3 4.10000+ 1 4.60000+ 1 3.00309- 5 1.41976- 3 4.10000+ 1 4.70000+ 1 3.75387- 5 1.42040- 3 4.10000+ 1 5.80000+ 1 8.25882- 5 1.41863- 3 4.30000+ 1 4.30000+ 1 3.79778- 5 1.40786- 3 4.30000+ 1 4.40000+ 1 1.59515- 4 1.41813- 3 4.30000+ 1 4.60000+ 1 1.89889- 6 1.43863- 3 4.30000+ 1 4.70000+ 1 1.89889- 6 1.43927- 3 4.30000+ 1 5.80000+ 1 5.12700- 5 1.43750- 3 4.40000+ 1 4.40000+ 1 9.21626- 5 1.42840- 3 4.40000+ 1 4.60000+ 1 2.00351- 6 1.44890- 3 4.40000+ 1 4.70000+ 1 4.00702- 6 1.44954- 3 4.40000+ 1 5.80000+ 1 7.81370- 5 1.44777- 3 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.05592- 3 5.06560- 4 2.70000+ 1 2.49096- 4 9.83250- 4 3.20000+ 1 6.90559- 5 1.20102- 3 4.10000+ 1 5.02567- 5 1.26511- 3 5.80000+ 1 4.83328- 6 1.31362- 3 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.00000+ 1 1.81763- 2 3.61400- 5 1.90000+ 1 3.20000+ 1 1.08849- 2 1.30220- 4 1.90000+ 1 3.30000+ 1 1.60263- 2 1.39230- 4 1.90000+ 1 3.50000+ 1 9.04184- 4 2.38580- 4 1.90000+ 1 3.60000+ 1 1.34772- 3 2.39670- 4 1.90000+ 1 4.10000+ 1 2.13835- 3 1.94310- 4 1.90000+ 1 4.30000+ 1 2.40110- 3 2.13180- 4 1.90000+ 1 4.40000+ 1 2.13507- 3 2.23450- 4 1.90000+ 1 4.60000+ 1 4.45757- 5 2.43950- 4 1.90000+ 1 4.70000+ 1 6.19839- 5 2.44590- 4 1.90000+ 1 5.80000+ 1 2.04676- 4 2.42820- 4 2.10000+ 1 2.40000+ 1 8.83644- 2 7.98100- 5 2.10000+ 1 2.50000+ 1 2.18699- 1 9.19600- 5 2.10000+ 1 2.70000+ 1 3.39628- 2 1.70310- 4 2.10000+ 1 2.90000+ 1 2.77898- 2 2.33610- 4 2.10000+ 1 3.00000+ 1 3.33749- 2 2.94000- 4 2.10000+ 1 3.20000+ 1 1.86553- 2 3.88080- 4 2.10000+ 1 3.30000+ 1 2.73781- 2 3.97090- 4 2.10000+ 1 3.50000+ 1 8.39191- 4 4.96440- 4 2.10000+ 1 3.60000+ 1 1.58276- 3 4.97530- 4 2.10000+ 1 4.10000+ 1 6.67146- 3 4.52170- 4 2.10000+ 1 4.30000+ 1 4.39468- 3 4.71040- 4 2.10000+ 1 4.40000+ 1 5.04202- 3 4.81310- 4 2.10000+ 1 4.60000+ 1 1.09193- 4 5.01810- 4 2.10000+ 1 4.70000+ 1 1.40189- 4 5.02450- 4 2.10000+ 1 5.80000+ 1 6.59832- 4 5.00680- 4 2.20000+ 1 2.40000+ 1 4.20635- 2 1.25460- 4 2.20000+ 1 2.50000+ 1 1.06633- 2 1.37610- 4 2.20000+ 1 2.70000+ 1 5.29464- 3 2.15960- 4 2.20000+ 1 2.90000+ 1 2.29163- 2 2.79260- 4 2.20000+ 1 3.00000+ 1 4.53432- 3 3.39650- 4 2.20000+ 1 3.20000+ 1 2.10739- 3 4.33730- 4 2.20000+ 1 3.30000+ 1 2.39532- 3 4.42740- 4 2.20000+ 1 3.50000+ 1 2.78942- 4 5.42090- 4 2.20000+ 1 3.60000+ 1 1.63269- 4 5.43180- 4 2.20000+ 1 4.10000+ 1 7.93634- 4 4.97820- 4 2.20000+ 1 4.30000+ 1 2.52271- 3 5.16690- 4 2.20000+ 1 4.40000+ 1 5.24518- 4 5.26960- 4 2.20000+ 1 4.60000+ 1 1.08142- 5 5.47460- 4 2.20000+ 1 4.70000+ 1 1.18698- 5 5.48100- 4 2.20000+ 1 5.80000+ 1 7.62332- 5 5.46330- 4 2.40000+ 1 2.40000+ 1 2.03690- 3 4.66000- 4 2.40000+ 1 2.50000+ 1 1.07451- 2 4.78150- 4 2.40000+ 1 2.70000+ 1 5.05320- 3 5.56500- 4 2.40000+ 1 2.90000+ 1 1.97071- 2 6.19800- 4 2.40000+ 1 3.00000+ 1 2.46841- 3 6.80190- 4 2.40000+ 1 3.20000+ 1 5.99825- 3 7.74270- 4 2.40000+ 1 3.30000+ 1 4.69402- 3 7.83280- 4 2.40000+ 1 3.50000+ 1 2.88423- 4 8.82630- 4 2.40000+ 1 3.60000+ 1 1.89384- 4 8.83720- 4 2.40000+ 1 4.10000+ 1 1.00444- 3 8.38360- 4 2.40000+ 1 4.30000+ 1 2.20663- 3 8.57230- 4 2.40000+ 1 4.40000+ 1 3.27457- 4 8.67500- 4 2.40000+ 1 4.60000+ 1 2.83552- 5 8.88000- 4 2.40000+ 1 4.70000+ 1 2.42665- 5 8.88640- 4 2.40000+ 1 5.80000+ 1 1.00100- 4 8.86870- 4 2.50000+ 1 2.50000+ 1 5.51936- 4 4.90300- 4 2.50000+ 1 2.70000+ 1 2.77597- 3 5.68650- 4 2.50000+ 1 2.90000+ 1 3.01593- 2 6.31950- 4 2.50000+ 1 3.00000+ 1 1.65342- 3 6.92340- 4 2.50000+ 1 3.20000+ 1 1.25852- 2 7.86420- 4 2.50000+ 1 3.30000+ 1 1.21593- 3 7.95430- 4 2.50000+ 1 3.50000+ 1 6.44901- 5 8.94780- 4 2.50000+ 1 3.60000+ 1 3.70585- 5 8.95870- 4 2.50000+ 1 4.10000+ 1 4.07385- 4 8.50510- 4 2.50000+ 1 4.30000+ 1 3.23982- 3 8.69380- 4 2.50000+ 1 4.40000+ 1 2.08240- 4 8.79650- 4 2.50000+ 1 4.60000+ 1 5.88192- 5 9.00150- 4 2.50000+ 1 4.70000+ 1 5.80287- 6 9.00790- 4 2.50000+ 1 5.80000+ 1 3.87729- 5 8.99020- 4 2.70000+ 1 2.70000+ 1 1.85156- 3 6.47000- 4 2.70000+ 1 2.90000+ 1 2.40649- 2 7.10300- 4 2.70000+ 1 3.00000+ 1 4.61442- 3 7.70690- 4 2.70000+ 1 3.20000+ 1 6.08387- 3 8.64770- 4 2.70000+ 1 3.30000+ 1 4.24860- 3 8.73780- 4 2.70000+ 1 3.50000+ 1 1.92535- 4 9.73130- 4 2.70000+ 1 3.60000+ 1 4.01111- 4 9.74220- 4 2.70000+ 1 4.10000+ 1 5.56736- 4 9.28860- 4 2.70000+ 1 4.30000+ 1 2.55101- 3 9.47730- 4 2.70000+ 1 4.40000+ 1 6.28964- 4 9.58000- 4 2.70000+ 1 4.60000+ 1 2.72752- 5 9.78500- 4 2.70000+ 1 4.70000+ 1 2.08577- 5 9.79140- 4 2.70000+ 1 5.80000+ 1 5.45510- 5 9.77370- 4 2.90000+ 1 2.90000+ 1 1.70739- 2 7.73600- 4 2.90000+ 1 3.00000+ 1 4.45902- 2 8.33990- 4 2.90000+ 1 3.20000+ 1 3.61081- 2 9.28070- 4 2.90000+ 1 3.30000+ 1 6.02107- 2 9.37080- 4 2.90000+ 1 3.50000+ 1 6.77715- 3 1.03643- 3 2.90000+ 1 3.60000+ 1 9.17581- 3 1.03752- 3 2.90000+ 1 4.10000+ 1 5.05729- 3 9.92160- 4 2.90000+ 1 4.30000+ 1 4.78378- 3 1.01103- 3 2.90000+ 1 4.40000+ 1 6.82562- 3 1.02130- 3 2.90000+ 1 4.60000+ 1 2.16838- 4 1.04180- 3 2.90000+ 1 4.70000+ 1 3.18582- 4 1.04244- 3 2.90000+ 1 5.80000+ 1 5.05390- 4 1.04067- 3 3.00000+ 1 3.00000+ 1 1.41960- 3 8.94380- 4 3.00000+ 1 3.20000+ 1 6.18934- 3 9.88460- 4 3.00000+ 1 3.30000+ 1 2.83413- 3 9.97470- 4 3.00000+ 1 3.50000+ 1 2.20636- 4 1.09682- 3 3.00000+ 1 3.60000+ 1 3.24466- 4 1.09791- 3 3.00000+ 1 4.10000+ 1 6.44088- 4 1.05255- 3 3.00000+ 1 4.30000+ 1 4.70468- 3 1.07142- 3 3.00000+ 1 4.40000+ 1 3.65031- 4 1.08169- 3 3.00000+ 1 4.60000+ 1 2.92015- 5 1.10219- 3 3.00000+ 1 4.70000+ 1 1.46012- 5 1.10283- 3 3.00000+ 1 5.80000+ 1 6.16479- 5 1.10106- 3 3.20000+ 1 3.20000+ 1 1.83436- 3 1.08254- 3 3.20000+ 1 3.30000+ 1 2.76018- 3 1.09155- 3 3.20000+ 1 3.50000+ 1 8.41293- 4 1.19090- 3 3.20000+ 1 3.60000+ 1 1.39257- 3 1.19199- 3 3.20000+ 1 4.10000+ 1 8.56170- 4 1.14663- 3 3.20000+ 1 4.30000+ 1 2.99543- 3 1.16550- 3 3.20000+ 1 4.40000+ 1 7.08126- 4 1.17577- 3 3.20000+ 1 4.60000+ 1 1.99115- 5 1.19627- 3 3.20000+ 1 4.70000+ 1 1.49338- 5 1.19691- 3 3.20000+ 1 5.80000+ 1 8.46231- 5 1.19514- 3 3.30000+ 1 3.30000+ 1 4.60687- 4 1.10056- 3 3.30000+ 1 3.50000+ 1 2.32162- 4 1.19991- 3 3.30000+ 1 3.60000+ 1 1.22123- 4 1.20100- 3 3.30000+ 1 4.10000+ 1 4.03862- 4 1.15564- 3 3.30000+ 1 4.30000+ 1 4.79565- 3 1.17451- 3 3.30000+ 1 4.40000+ 1 2.61184- 4 1.18478- 3 3.30000+ 1 4.60000+ 1 1.20923- 5 1.20528- 3 3.30000+ 1 4.70000+ 1 4.83661- 6 1.20592- 3 3.30000+ 1 5.80000+ 1 3.74846- 5 1.20415- 3 3.50000+ 1 3.50000+ 1 5.08003- 6 1.29926- 3 3.50000+ 1 3.60000+ 1 1.39708- 5 1.30035- 3 3.50000+ 1 4.10000+ 1 2.79408- 5 1.25499- 3 3.50000+ 1 4.30000+ 1 5.43566- 4 1.27386- 3 3.50000+ 1 4.40000+ 1 2.15904- 5 1.28413- 3 3.50000+ 1 4.60000+ 1 3.81015- 6 1.30463- 3 3.50000+ 1 4.70000+ 1 1.27009- 6 1.30527- 3 3.50000+ 1 5.80000+ 1 2.54006- 6 1.30350- 3 3.60000+ 1 3.60000+ 1 2.53056- 6 1.30144- 3 3.60000+ 1 4.10000+ 1 4.42851- 5 1.25608- 3 3.60000+ 1 4.30000+ 1 7.36392- 4 1.27495- 3 3.60000+ 1 4.40000+ 1 2.91016- 5 1.28522- 3 3.60000+ 1 4.60000+ 1 6.32632- 6 1.30572- 3 3.60000+ 1 5.80000+ 1 3.79591- 6 1.30459- 3 4.10000+ 1 4.10000+ 1 2.92753- 5 1.21072- 3 4.10000+ 1 4.30000+ 1 3.51305- 4 1.22959- 3 4.10000+ 1 4.40000+ 1 5.85517- 5 1.23986- 3 4.10000+ 1 4.60000+ 1 3.25287- 6 1.26036- 3 4.10000+ 1 4.70000+ 1 2.16854- 6 1.26100- 3 4.10000+ 1 5.80000+ 1 5.42129- 6 1.25923- 3 4.30000+ 1 4.30000+ 1 2.27149- 4 1.24846- 3 4.30000+ 1 4.40000+ 1 5.39355- 4 1.25873- 3 4.30000+ 1 4.60000+ 1 1.70064- 5 1.27923- 3 4.30000+ 1 4.70000+ 1 2.55087- 5 1.27987- 3 4.30000+ 1 5.80000+ 1 3.88710- 5 1.27810- 3 4.40000+ 1 4.40000+ 1 1.58969- 5 1.26900- 3 4.40000+ 1 4.60000+ 1 3.40644- 6 1.28950- 3 4.40000+ 1 4.70000+ 1 1.13552- 6 1.29014- 3 4.40000+ 1 5.80000+ 1 5.67723- 6 1.28837- 3 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.25819- 5 2.57860- 4 2.20000+ 1 1.92454- 4 3.03510- 4 2.70000+ 1 2.92972- 4 7.34550- 4 3.20000+ 1 3.23428- 5 9.52320- 4 3.30000+ 1 1.90656- 4 9.61330- 4 4.10000+ 1 5.69942- 5 1.01641- 3 5.80000+ 1 5.71740- 6 1.06492- 3 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.00000+ 1 5.14100- 2 4.53000- 5 2.10000+ 1 3.20000+ 1 1.84018- 2 1.39380- 4 2.10000+ 1 3.30000+ 1 2.80695- 2 1.48390- 4 2.10000+ 1 3.50000+ 1 1.22813- 3 2.47740- 4 2.10000+ 1 3.60000+ 1 1.06458- 3 2.48830- 4 2.10000+ 1 4.10000+ 1 4.05282- 3 2.03470- 4 2.10000+ 1 4.30000+ 1 2.91192- 3 2.22340- 4 2.10000+ 1 4.40000+ 1 6.41521- 3 2.32610- 4 2.10000+ 1 4.60000+ 1 9.88776- 5 2.53110- 4 2.10000+ 1 4.70000+ 1 1.30295- 4 2.53750- 4 2.10000+ 1 5.80000+ 1 3.97529- 4 2.51980- 4 2.20000+ 1 2.90000+ 1 1.23471- 1 3.05600- 5 2.20000+ 1 3.00000+ 1 1.36902- 1 9.09500- 5 2.20000+ 1 3.20000+ 1 1.21063- 1 1.85030- 4 2.20000+ 1 3.30000+ 1 1.45519- 1 1.94040- 4 2.20000+ 1 3.50000+ 1 3.62878- 3 2.93390- 4 2.20000+ 1 3.60000+ 1 4.77170- 3 2.94480- 4 2.20000+ 1 4.10000+ 1 2.27862- 2 2.49120- 4 2.20000+ 1 4.30000+ 1 2.02113- 2 2.67990- 4 2.20000+ 1 4.40000+ 1 1.93165- 2 2.78260- 4 2.20000+ 1 4.60000+ 1 6.47825- 4 2.98760- 4 2.20000+ 1 4.70000+ 1 7.17511- 4 2.99400- 4 2.20000+ 1 5.80000+ 1 2.24001- 3 2.97630- 4 2.40000+ 1 2.40000+ 1 9.46239- 4 2.17300- 4 2.40000+ 1 2.50000+ 1 4.15763- 3 2.29450- 4 2.40000+ 1 2.70000+ 1 9.32768- 3 3.07800- 4 2.40000+ 1 2.90000+ 1 4.92239- 3 3.71100- 4 2.40000+ 1 3.00000+ 1 5.46613- 2 4.31490- 4 2.40000+ 1 3.20000+ 1 2.14036- 3 5.25570- 4 2.40000+ 1 3.30000+ 1 7.90337- 3 5.34580- 4 2.40000+ 1 3.50000+ 1 2.74862- 4 6.33930- 4 2.40000+ 1 3.60000+ 1 2.61501- 4 6.35020- 4 2.40000+ 1 4.10000+ 1 1.14783- 3 5.89660- 4 2.40000+ 1 4.30000+ 1 6.96104- 4 6.08530- 4 2.40000+ 1 4.40000+ 1 5.59328- 3 6.18800- 4 2.40000+ 1 4.60000+ 1 1.10846- 5 6.39300- 4 2.40000+ 1 4.70000+ 1 3.21193- 5 6.39940- 4 2.40000+ 1 5.80000+ 1 1.06879- 4 6.38170- 4 2.50000+ 1 2.50000+ 1 3.70786- 3 2.41600- 4 2.50000+ 1 2.70000+ 1 2.15054- 2 3.19950- 4 2.50000+ 1 2.90000+ 1 1.73254- 2 3.83250- 4 2.50000+ 1 3.00000+ 1 6.56840- 2 4.43640- 4 2.50000+ 1 3.20000+ 1 1.61566- 3 5.37720- 4 2.50000+ 1 3.30000+ 1 1.11603- 2 5.46730- 4 2.50000+ 1 3.50000+ 1 1.03864- 3 6.46080- 4 2.50000+ 1 3.60000+ 1 1.32671- 3 6.47170- 4 2.50000+ 1 4.10000+ 1 3.22345- 3 6.01810- 4 2.50000+ 1 4.30000+ 1 2.57209- 3 6.20680- 4 2.50000+ 1 4.40000+ 1 6.79440- 3 6.30950- 4 2.50000+ 1 4.60000+ 1 9.82754- 6 6.51450- 4 2.50000+ 1 4.70000+ 1 4.74541- 5 6.52090- 4 2.50000+ 1 5.80000+ 1 3.09714- 4 6.50320- 4 2.70000+ 1 2.70000+ 1 2.69115- 5 3.98300- 4 2.70000+ 1 2.90000+ 1 2.47927- 4 4.61600- 4 2.70000+ 1 3.00000+ 1 5.02382- 3 5.21990- 4 2.70000+ 1 3.20000+ 1 4.63788- 4 6.16070- 4 2.70000+ 1 3.30000+ 1 7.84437- 4 6.25080- 4 2.70000+ 1 3.50000+ 1 8.41706- 5 7.24430- 4 2.70000+ 1 3.60000+ 1 8.13075- 5 7.25520- 4 2.70000+ 1 4.10000+ 1 1.37422- 5 6.80160- 4 2.70000+ 1 4.30000+ 1 2.63389- 5 6.99030- 4 2.70000+ 1 4.40000+ 1 4.92137- 4 7.09300- 4 2.70000+ 1 4.60000+ 1 2.29041- 6 7.29800- 4 2.70000+ 1 4.70000+ 1 3.14919- 6 7.30440- 4 2.70000+ 1 5.80000+ 1 1.43140- 6 7.28670- 4 2.90000+ 1 2.90000+ 1 5.72589- 7 5.24900- 4 2.90000+ 1 3.00000+ 1 5.72959- 3 5.85290- 4 2.90000+ 1 3.20000+ 1 2.57089- 4 6.79370- 4 2.90000+ 1 3.30000+ 1 7.14867- 4 6.88380- 4 2.90000+ 1 3.50000+ 1 6.69924- 5 7.87730- 4 2.90000+ 1 3.60000+ 1 1.44001- 4 7.88820- 4 2.90000+ 1 4.10000+ 1 4.43759- 5 7.43460- 4 2.90000+ 1 4.30000+ 1 4.29439- 6 7.62330- 4 2.90000+ 1 4.40000+ 1 5.77175- 4 7.72600- 4 2.90000+ 1 4.60000+ 1 1.14510- 6 7.93100- 4 2.90000+ 1 4.70000+ 1 2.86298- 6 7.93740- 4 2.90000+ 1 5.80000+ 1 4.58068- 6 7.91970- 4 3.00000+ 1 3.00000+ 1 7.25287- 3 6.45680- 4 3.00000+ 1 3.20000+ 1 8.64007- 3 7.39760- 4 3.00000+ 1 3.30000+ 1 1.15138- 2 7.48770- 4 3.00000+ 1 3.50000+ 1 1.51138- 3 8.48120- 4 3.00000+ 1 3.60000+ 1 1.80788- 3 8.49210- 4 3.00000+ 1 4.10000+ 1 1.01921- 3 8.03850- 4 3.00000+ 1 4.30000+ 1 9.44468- 4 8.22720- 4 3.00000+ 1 4.40000+ 1 1.84424- 3 8.32990- 4 3.00000+ 1 4.60000+ 1 5.09590- 5 8.53490- 4 3.00000+ 1 4.70000+ 1 6.04070- 5 8.54130- 4 3.00000+ 1 5.80000+ 1 1.01921- 4 8.52360- 4 3.20000+ 1 3.20000+ 1 1.72922- 4 8.33840- 4 3.20000+ 1 3.30000+ 1 1.03634- 3 8.42850- 4 3.20000+ 1 3.50000+ 1 3.45259- 5 9.42200- 4 3.20000+ 1 3.60000+ 1 6.21453- 5 9.43290- 4 3.20000+ 1 4.10000+ 1 6.55970- 5 8.97930- 4 3.20000+ 1 4.30000+ 1 4.25818- 5 9.16800- 4 3.20000+ 1 4.40000+ 1 8.84432- 4 9.27070- 4 3.20000+ 1 4.60000+ 1 1.72620- 6 9.47570- 4 3.20000+ 1 4.70000+ 1 4.31564- 6 9.48210- 4 3.20000+ 1 5.80000+ 1 6.32965- 6 9.46440- 4 3.30000+ 1 3.30000+ 1 9.64432- 4 8.51860- 4 3.30000+ 1 3.50000+ 1 1.11522- 4 9.51210- 4 3.30000+ 1 3.60000+ 1 1.52990- 4 9.52300- 4 3.30000+ 1 4.10000+ 1 1.48217- 4 9.06940- 4 3.30000+ 1 4.30000+ 1 1.17972- 4 9.25810- 4 3.30000+ 1 4.40000+ 1 1.16394- 3 9.36080- 4 3.30000+ 1 4.60000+ 1 5.32377- 6 9.56580- 4 3.30000+ 1 4.70000+ 1 8.96621- 6 9.57220- 4 3.30000+ 1 5.80000+ 1 1.48511- 5 9.55450- 4 3.50000+ 1 3.50000+ 1 5.81393- 7 1.05056- 3 3.50000+ 1 3.60000+ 1 5.23242- 6 1.05165- 3 3.50000+ 1 4.10000+ 1 1.07557- 5 1.00629- 3 3.50000+ 1 4.30000+ 1 4.36043- 6 1.02516- 3 3.50000+ 1 4.40000+ 1 1.51167- 4 1.03543- 3 3.50000+ 1 4.60000+ 1 2.90701- 7 1.05593- 3 3.50000+ 1 4.70000+ 1 5.81393- 7 1.05657- 3 3.50000+ 1 5.80000+ 1 8.72084- 7 1.05480- 3 3.60000+ 1 3.60000+ 1 2.62824- 6 1.05274- 3 3.60000+ 1 4.10000+ 1 1.10967- 5 1.00738- 3 3.60000+ 1 4.30000+ 1 9.05258- 6 1.02625- 3 3.60000+ 1 4.40000+ 1 1.80752- 4 1.03652- 3 3.60000+ 1 4.60000+ 1 2.92025- 7 1.05702- 3 3.60000+ 1 4.70000+ 1 5.84041- 7 1.05766- 3 3.60000+ 1 5.80000+ 1 8.76055- 7 1.05589- 3 4.10000+ 1 4.30000+ 1 3.42198- 6 9.80890- 4 4.10000+ 1 4.40000+ 1 9.98032- 5 9.91160- 4 4.10000+ 1 4.60000+ 1 2.85165- 7 1.01166- 3 4.10000+ 1 4.70000+ 1 5.70321- 7 1.01230- 3 4.30000+ 1 4.40000+ 1 9.81426- 5 1.01003- 3 4.30000+ 1 4.60000+ 1 2.96512- 7 1.03053- 3 4.30000+ 1 4.70000+ 1 5.93015- 7 1.03117- 3 4.30000+ 1 5.80000+ 1 2.96512- 7 1.02940- 3 4.40000+ 1 4.40000+ 1 1.09262- 4 1.02030- 3 4.40000+ 1 4.60000+ 1 5.06859- 6 1.04080- 3 4.40000+ 1 4.70000+ 1 6.19509- 6 1.04144- 3 4.40000+ 1 5.80000+ 1 9.85552- 6 1.03967- 3 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.77691- 4 3.86190- 4 2.90000+ 1 1.69740- 4 5.39990- 4 3.00000+ 1 1.90280- 5 6.00380- 4 3.50000+ 1 3.39721- 5 8.02820- 4 4.30000+ 1 2.97571- 5 7.77420- 4 4.40000+ 1 3.14331- 6 7.87690- 4 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.50000+ 1 1.83789- 3 3.55300- 5 2.20000+ 1 3.60000+ 1 2.16860- 3 3.66200- 5 2.20000+ 1 4.30000+ 1 1.19961- 3 1.01300- 5 2.20000+ 1 4.40000+ 1 2.79607- 3 2.04000- 5 2.20000+ 1 4.60000+ 1 4.29236- 4 4.09000- 5 2.20000+ 1 4.70000+ 1 7.83622- 5 4.15400- 5 2.20000+ 1 5.80000+ 1 2.13949- 4 3.97700- 5 2.40000+ 1 2.70000+ 1 1.21823- 1 4.99400- 5 2.40000+ 1 2.90000+ 1 1.09455- 1 1.13240- 4 2.40000+ 1 3.00000+ 1 1.28987- 1 1.73630- 4 2.40000+ 1 3.20000+ 1 1.31078- 1 2.67710- 4 2.40000+ 1 3.30000+ 1 1.37652- 1 2.76720- 4 2.40000+ 1 3.50000+ 1 2.83469- 3 3.76070- 4 2.40000+ 1 3.60000+ 1 2.11186- 3 3.77160- 4 2.40000+ 1 4.10000+ 1 2.42754- 2 3.31800- 4 2.40000+ 1 4.30000+ 1 1.79846- 2 3.50670- 4 2.40000+ 1 4.40000+ 1 1.91064- 2 3.60940- 4 2.40000+ 1 4.60000+ 1 6.57716- 4 3.81440- 4 2.40000+ 1 4.70000+ 1 6.85893- 4 3.82080- 4 2.40000+ 1 5.80000+ 1 2.43115- 3 3.80310- 4 2.50000+ 1 2.50000+ 1 2.12774- 3 0.00000+ 0 2.50000+ 1 2.70000+ 1 8.99256- 3 6.20900- 5 2.50000+ 1 2.90000+ 1 1.81855- 2 1.25390- 4 2.50000+ 1 3.00000+ 1 8.34058- 3 1.85780- 4 2.50000+ 1 3.20000+ 1 1.39531- 1 2.79860- 4 2.50000+ 1 3.30000+ 1 5.90449- 3 2.88870- 4 2.50000+ 1 3.50000+ 1 1.08162- 3 3.88220- 4 2.50000+ 1 3.60000+ 1 2.55769- 4 3.89310- 4 2.50000+ 1 4.10000+ 1 1.28815- 3 3.43950- 4 2.50000+ 1 4.30000+ 1 1.85778- 3 3.62820- 4 2.50000+ 1 4.40000+ 1 9.50026- 4 3.73090- 4 2.50000+ 1 4.60000+ 1 6.23368- 4 3.93590- 4 2.50000+ 1 4.70000+ 1 2.77352- 5 3.94230- 4 2.50000+ 1 5.80000+ 1 1.24141- 4 3.92460- 4 2.70000+ 1 2.70000+ 1 8.83562- 4 1.40440- 4 2.70000+ 1 2.90000+ 1 2.16550- 3 2.03740- 4 2.70000+ 1 3.00000+ 1 1.63918- 3 2.64130- 4 2.70000+ 1 3.20000+ 1 1.24884- 2 3.58210- 4 2.70000+ 1 3.30000+ 1 2.08455- 3 3.67220- 4 2.70000+ 1 3.50000+ 1 7.06147- 4 4.66570- 4 2.70000+ 1 3.60000+ 1 5.80675- 4 4.67660- 4 2.70000+ 1 4.10000+ 1 2.04713- 4 4.22300- 4 2.70000+ 1 4.30000+ 1 2.39043- 4 4.41170- 4 2.70000+ 1 4.40000+ 1 1.93717- 4 4.51440- 4 2.70000+ 1 4.60000+ 1 5.32686- 5 4.71940- 4 2.70000+ 1 4.70000+ 1 7.92428- 6 4.72580- 4 2.70000+ 1 5.80000+ 1 1.93717- 5 4.70810- 4 2.90000+ 1 2.90000+ 1 4.70597- 4 2.67040- 4 2.90000+ 1 3.00000+ 1 2.13992- 3 3.27430- 4 2.90000+ 1 3.20000+ 1 8.73239- 3 4.21510- 4 2.90000+ 1 3.30000+ 1 9.96239- 4 4.30520- 4 2.90000+ 1 3.50000+ 1 1.10502- 4 5.29870- 4 2.90000+ 1 3.60000+ 1 9.42088- 5 5.30960- 4 2.90000+ 1 4.10000+ 1 1.56278- 4 4.85600- 4 2.90000+ 1 4.30000+ 1 1.06530- 4 5.04470- 4 2.90000+ 1 4.40000+ 1 1.83574- 4 5.14740- 4 2.90000+ 1 4.60000+ 1 3.78595- 5 5.35240- 4 2.90000+ 1 4.70000+ 1 4.84254- 6 5.35880- 4 2.90000+ 1 5.80000+ 1 1.40870- 5 5.34110- 4 3.00000+ 1 3.00000+ 1 7.38436- 4 3.87820- 4 3.00000+ 1 3.20000+ 1 1.73448- 2 4.81900- 4 3.00000+ 1 3.30000+ 1 1.47424- 3 4.90910- 4 3.00000+ 1 3.50000+ 1 2.91595- 4 5.90260- 4 3.00000+ 1 3.60000+ 1 1.62093- 4 5.91350- 4 3.00000+ 1 4.10000+ 1 7.67588- 5 5.45990- 4 3.00000+ 1 4.30000+ 1 1.61236- 4 5.64860- 4 3.00000+ 1 4.40000+ 1 1.34219- 4 5.75130- 4 3.00000+ 1 4.60000+ 1 7.63299- 5 5.95630- 4 3.00000+ 1 4.70000+ 1 6.43233- 6 5.96270- 4 3.00000+ 1 5.80000+ 1 6.86108- 6 5.94500- 4 3.20000+ 1 3.20000+ 1 1.13256- 2 5.75980- 4 3.20000+ 1 3.30000+ 1 2.20839- 2 5.84990- 4 3.20000+ 1 3.50000+ 1 2.60272- 3 6.84340- 4 3.20000+ 1 3.60000+ 1 3.56417- 3 6.85430- 4 3.20000+ 1 4.10000+ 1 1.95024- 3 6.40070- 4 3.20000+ 1 4.30000+ 1 1.46825- 3 6.58940- 4 3.20000+ 1 4.40000+ 1 2.60142- 3 6.69210- 4 3.20000+ 1 4.60000+ 1 1.17107- 4 6.89710- 4 3.20000+ 1 4.70000+ 1 1.15346- 4 6.90350- 4 3.20000+ 1 5.80000+ 1 1.92382- 4 6.88580- 4 3.30000+ 1 3.30000+ 1 3.38696- 4 5.94000- 4 3.30000+ 1 3.50000+ 1 2.82046- 4 6.93350- 4 3.30000+ 1 3.60000+ 1 9.24389- 5 6.94440- 4 3.30000+ 1 4.10000+ 1 6.84484- 5 6.49080- 4 3.30000+ 1 4.30000+ 1 7.55287- 5 6.67950- 4 3.30000+ 1 4.40000+ 1 1.32574- 4 6.78220- 4 3.30000+ 1 4.60000+ 1 8.73296- 5 6.98720- 4 3.30000+ 1 4.70000+ 1 3.14707- 6 6.99360- 4 3.30000+ 1 5.80000+ 1 6.29391- 6 6.97590- 4 3.50000+ 1 3.50000+ 1 8.82974- 6 7.92700- 4 3.50000+ 1 3.60000+ 1 2.60485- 5 7.93790- 4 3.50000+ 1 4.10000+ 1 4.32665- 5 7.48430- 4 3.50000+ 1 4.30000+ 1 1.76596- 5 7.67300- 4 3.50000+ 1 4.40000+ 1 3.53202- 5 7.77570- 4 3.50000+ 1 4.60000+ 1 1.14793- 5 7.98070- 4 3.50000+ 1 4.70000+ 1 1.32455- 6 7.98710- 4 3.50000+ 1 5.80000+ 1 3.53202- 6 7.96940- 4 3.60000+ 1 3.60000+ 1 2.22849- 6 7.94880- 4 3.60000+ 1 4.10000+ 1 2.67423- 5 7.49520- 4 3.60000+ 1 4.30000+ 1 1.29264- 5 7.68390- 4 3.60000+ 1 4.40000+ 1 1.69370- 5 7.78660- 4 3.60000+ 1 4.60000+ 1 1.55998- 5 7.99160- 4 3.60000+ 1 4.70000+ 1 4.45718- 7 7.99800- 4 3.60000+ 1 5.80000+ 1 2.22849- 6 7.98030- 4 4.10000+ 1 4.10000+ 1 4.63352- 6 7.04160- 4 4.10000+ 1 4.30000+ 1 9.26735- 6 7.23030- 4 4.10000+ 1 4.40000+ 1 6.77197- 6 7.33300- 4 4.10000+ 1 4.60000+ 1 6.77197- 6 7.53800- 4 4.10000+ 1 4.70000+ 1 3.56423- 7 7.54440- 4 4.10000+ 1 5.80000+ 1 7.12832- 7 7.52670- 4 4.30000+ 1 4.30000+ 1 1.25909- 6 7.41900- 4 4.30000+ 1 4.40000+ 1 9.75778- 6 7.52170- 4 4.30000+ 1 4.60000+ 1 4.40684- 6 7.72670- 4 4.30000+ 1 4.70000+ 1 3.14777- 7 7.73310- 4 4.30000+ 1 5.80000+ 1 6.29542- 7 7.71540- 4 4.40000+ 1 4.40000+ 1 2.50661- 6 7.62440- 4 4.40000+ 1 4.60000+ 1 4.65534- 6 7.82940- 4 4.40000+ 1 4.70000+ 1 3.58083- 7 7.83580- 4 4.40000+ 1 5.80000+ 1 3.58083- 7 7.81810- 4 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.76338- 5 3.40540- 4 2.50000+ 1 4.01626- 4 3.52690- 4 3.00000+ 1 1.40339- 4 5.54730- 4 3.50000+ 1 2.28888- 6 7.57170- 4 3.60000+ 1 3.79566- 5 7.58260- 4 4.40000+ 1 2.32598- 5 7.42040- 4 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.70000+ 1 1.11502- 2 4.29000- 6 2.40000+ 1 2.90000+ 1 8.25506- 3 6.75900- 5 2.40000+ 1 3.00000+ 1 1.53842- 2 1.27980- 4 2.40000+ 1 3.20000+ 1 7.44261- 3 2.22060- 4 2.40000+ 1 3.30000+ 1 1.04888- 1 2.31070- 4 2.40000+ 1 3.50000+ 1 4.20077- 4 3.30420- 4 2.40000+ 1 3.60000+ 1 5.66559- 4 3.31510- 4 2.40000+ 1 4.10000+ 1 2.05511- 3 2.86150- 4 2.40000+ 1 4.30000+ 1 1.33728- 3 3.05020- 4 2.40000+ 1 4.40000+ 1 1.88166- 3 3.15290- 4 2.40000+ 1 4.60000+ 1 4.07572- 5 3.35790- 4 2.40000+ 1 4.70000+ 1 4.26137- 4 3.36430- 4 2.40000+ 1 5.80000+ 1 2.00959- 4 3.34660- 4 2.50000+ 1 2.70000+ 1 1.14227- 1 1.64400- 5 2.50000+ 1 2.90000+ 1 1.23133- 1 7.97400- 5 2.50000+ 1 3.00000+ 1 1.11748- 1 1.40130- 4 2.50000+ 1 3.20000+ 1 1.11559- 1 2.34210- 4 2.50000+ 1 3.30000+ 1 2.00201- 1 2.43220- 4 2.50000+ 1 3.50000+ 1 1.85584- 3 3.42570- 4 2.50000+ 1 3.60000+ 1 3.67615- 3 3.43660- 4 2.50000+ 1 4.10000+ 1 2.29933- 2 2.98300- 4 2.50000+ 1 4.30000+ 1 1.97493- 2 3.17170- 4 2.50000+ 1 4.40000+ 1 1.67623- 2 3.27440- 4 2.50000+ 1 4.60000+ 1 6.07694- 4 3.47940- 4 2.50000+ 1 4.70000+ 1 9.05915- 4 3.48580- 4 2.50000+ 1 5.80000+ 1 2.28357- 3 3.46810- 4 2.70000+ 1 2.70000+ 1 1.61583- 3 9.47900- 5 2.70000+ 1 2.90000+ 1 2.31912- 3 1.58090- 4 2.70000+ 1 3.00000+ 1 3.46458- 3 2.18480- 4 2.70000+ 1 3.20000+ 1 3.07469- 3 3.12560- 4 2.70000+ 1 3.30000+ 1 1.51404- 2 3.21570- 4 2.70000+ 1 3.50000+ 1 6.76196- 4 4.20920- 4 2.70000+ 1 3.60000+ 1 1.05881- 3 4.22010- 4 2.70000+ 1 4.10000+ 1 3.64087- 4 3.76650- 4 2.70000+ 1 4.30000+ 1 2.65616- 4 3.95520- 4 2.70000+ 1 4.40000+ 1 4.06073- 4 4.05790- 4 2.70000+ 1 4.60000+ 1 1.21962- 5 4.26290- 4 2.70000+ 1 4.70000+ 1 5.73673- 5 4.26930- 4 2.70000+ 1 5.80000+ 1 3.47812- 5 4.25160- 4 2.90000+ 1 2.90000+ 1 3.10535- 4 2.21390- 4 2.90000+ 1 3.00000+ 1 3.85652- 3 2.81780- 4 2.90000+ 1 3.20000+ 1 5.71685- 4 3.75860- 4 2.90000+ 1 3.30000+ 1 1.30954- 2 3.84870- 4 2.90000+ 1 3.50000+ 1 1.07252- 4 4.84220- 4 2.90000+ 1 3.60000+ 1 2.36048- 4 4.85310- 4 2.90000+ 1 4.10000+ 1 1.57965- 4 4.39950- 4 2.90000+ 1 4.30000+ 1 7.13504- 5 4.58820- 4 2.90000+ 1 4.40000+ 1 3.38361- 4 4.69090- 4 2.90000+ 1 4.60000+ 1 2.24369- 6 4.89590- 4 2.90000+ 1 4.70000+ 1 5.20534- 5 4.90230- 4 2.90000+ 1 5.80000+ 1 1.43594- 5 4.88460- 4 3.00000+ 1 3.00000+ 1 1.19369- 3 3.42170- 4 3.00000+ 1 3.20000+ 1 2.15779- 3 4.36250- 4 3.00000+ 1 3.30000+ 1 1.63692- 2 4.45260- 4 3.00000+ 1 3.50000+ 1 2.08645- 4 5.44610- 4 3.00000+ 1 3.60000+ 1 2.83891- 4 5.45700- 4 3.00000+ 1 4.10000+ 1 1.11583- 4 5.00340- 4 3.00000+ 1 4.30000+ 1 1.70165- 4 5.19210- 4 3.00000+ 1 4.40000+ 1 2.21044- 4 5.29480- 4 3.00000+ 1 4.60000+ 1 1.06896- 5 5.49980- 4 3.00000+ 1 4.70000+ 1 6.41327- 5 5.50620- 4 3.00000+ 1 5.80000+ 1 8.97856- 6 5.48850- 4 3.20000+ 1 3.20000+ 1 1.39820- 4 5.30330- 4 3.20000+ 1 3.30000+ 1 1.56888- 2 5.39340- 4 3.20000+ 1 3.50000+ 1 6.80293- 5 6.38690- 4 3.20000+ 1 3.60000+ 1 2.57513- 4 6.39780- 4 3.20000+ 1 4.10000+ 1 7.42894- 5 5.94420- 4 3.20000+ 1 4.30000+ 1 4.92490- 5 6.13290- 4 3.20000+ 1 4.40000+ 1 2.17447- 4 6.23560- 4 3.20000+ 1 4.60000+ 1 1.25212- 6 6.44060- 4 3.20000+ 1 4.70000+ 1 6.17703- 5 6.44700- 4 3.20000+ 1 5.80000+ 1 6.67780- 6 6.42930- 4 3.30000+ 1 3.30000+ 1 1.76783- 2 5.48350- 4 3.30000+ 1 3.50000+ 1 2.88239- 3 6.47700- 4 3.30000+ 1 3.60000+ 1 3.43224- 3 6.48790- 4 3.30000+ 1 4.10000+ 1 1.95573- 3 6.03430- 4 3.30000+ 1 4.30000+ 1 1.83681- 3 6.22300- 4 3.30000+ 1 4.40000+ 1 2.41338- 3 6.32570- 4 3.30000+ 1 4.60000+ 1 9.27063- 5 6.53070- 4 3.30000+ 1 4.70000+ 1 1.62134- 4 6.53710- 4 3.30000+ 1 5.80000+ 1 1.93034- 4 6.51940- 4 3.50000+ 1 3.50000+ 1 1.69114- 6 7.47050- 4 3.50000+ 1 3.60000+ 1 2.15625- 5 7.48140- 4 3.50000+ 1 4.10000+ 1 2.87499- 5 7.02780- 4 3.50000+ 1 4.30000+ 1 1.01472- 5 7.21650- 4 3.50000+ 1 4.40000+ 1 1.90260- 5 7.31920- 4 3.50000+ 1 4.60000+ 1 4.22801- 7 7.52420- 4 3.50000+ 1 4.70000+ 1 1.14156- 5 7.53060- 4 3.50000+ 1 5.80000+ 1 2.11396- 6 7.51290- 4 3.60000+ 1 3.60000+ 1 1.39035- 5 7.49230- 4 3.60000+ 1 4.10000+ 1 5.18229- 5 7.03870- 4 3.60000+ 1 4.30000+ 1 2.06444- 5 7.22740- 4 3.60000+ 1 4.40000+ 1 3.11785- 5 7.33010- 4 3.60000+ 1 4.60000+ 1 1.26402- 6 7.53510- 4 3.60000+ 1 4.70000+ 1 1.34821- 5 7.54150- 4 3.60000+ 1 5.80000+ 1 4.21329- 6 7.52380- 4 4.10000+ 1 4.10000+ 1 9.22890- 6 6.58510- 4 4.10000+ 1 4.30000+ 1 1.18118- 5 6.77380- 4 4.10000+ 1 4.40000+ 1 1.21810- 5 6.87650- 4 4.10000+ 1 4.60000+ 1 3.69132- 7 7.08150- 4 4.10000+ 1 4.70000+ 1 6.64426- 6 7.08790- 4 4.10000+ 1 5.80000+ 1 1.47647- 6 7.07020- 4 4.30000+ 1 4.30000+ 1 2.19039- 6 6.96250- 4 4.30000+ 1 4.40000+ 1 1.38726- 5 7.06520- 4 4.30000+ 1 4.70000+ 1 6.20645- 6 7.27660- 4 4.30000+ 1 5.80000+ 1 1.09529- 6 7.25890- 4 4.40000+ 1 4.40000+ 1 6.78392- 6 7.16790- 4 4.40000+ 1 4.60000+ 1 7.82789- 7 7.37290- 4 4.40000+ 1 4.70000+ 1 5.74037- 6 7.37930- 4 4.40000+ 1 5.80000+ 1 7.82789- 7 7.36160- 4 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 8.72151- 5 3.08270- 4 3.30000+ 1 5.53787- 6 3.17280- 4 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 3.50000+ 1 8.58834- 2 2.03000- 6 2.50000+ 1 3.60000+ 1 4.54301- 3 3.12000- 6 2.50000+ 1 4.60000+ 1 2.07219- 4 7.40000- 6 2.50000+ 1 4.70000+ 1 2.15994- 4 8.04000- 6 2.50000+ 1 5.80000+ 1 2.98551- 4 6.27000- 6 2.70000+ 1 3.50000+ 1 4.79349- 2 8.03800- 5 2.70000+ 1 3.60000+ 1 7.04387- 3 8.14700- 5 2.70000+ 1 4.10000+ 1 2.71097- 3 3.61100- 5 2.70000+ 1 4.30000+ 1 2.89657- 3 5.49800- 5 2.70000+ 1 4.40000+ 1 6.04344- 3 6.52500- 5 2.70000+ 1 4.60000+ 1 8.06859- 5 8.57500- 5 2.70000+ 1 4.70000+ 1 1.29096- 4 8.63900- 5 2.70000+ 1 5.80000+ 1 1.93644- 4 8.46200- 5 2.90000+ 1 3.20000+ 1 3.42240- 2 3.53200- 5 2.90000+ 1 3.30000+ 1 6.40365- 2 4.43300- 5 2.90000+ 1 3.50000+ 1 5.17172- 2 1.43680- 4 2.90000+ 1 3.60000+ 1 1.23296- 2 1.44770- 4 2.90000+ 1 4.10000+ 1 1.84645- 2 9.94100- 5 2.90000+ 1 4.30000+ 1 1.02586- 2 1.18280- 4 2.90000+ 1 4.40000+ 1 1.72677- 2 1.28550- 4 2.90000+ 1 4.60000+ 1 9.18415- 4 1.49050- 4 2.90000+ 1 4.70000+ 1 1.02242- 3 1.49690- 4 2.90000+ 1 5.80000+ 1 1.74158- 3 1.47920- 4 3.00000+ 1 3.20000+ 1 1.06490- 1 9.57100- 5 3.00000+ 1 3.30000+ 1 8.28069- 2 1.04720- 4 3.00000+ 1 3.50000+ 1 7.37949- 2 2.04070- 4 3.00000+ 1 3.60000+ 1 4.34903- 3 2.05160- 4 3.00000+ 1 4.10000+ 1 7.40679- 3 1.59800- 4 3.00000+ 1 4.30000+ 1 5.26062- 3 1.78670- 4 3.00000+ 1 4.40000+ 1 3.69552- 3 1.88940- 4 3.00000+ 1 4.60000+ 1 4.19586- 4 2.09440- 4 3.00000+ 1 4.70000+ 1 2.98543- 4 2.10080- 4 3.00000+ 1 5.80000+ 1 5.89013- 4 2.08310- 4 3.20000+ 1 3.20000+ 1 2.22138- 2 1.89790- 4 3.20000+ 1 3.30000+ 1 3.96327- 2 1.98800- 4 3.20000+ 1 3.50000+ 1 6.74839- 2 2.98150- 4 3.20000+ 1 3.60000+ 1 1.22317- 2 2.99240- 4 3.20000+ 1 4.10000+ 1 2.70295- 3 2.53880- 4 3.20000+ 1 4.30000+ 1 1.21431- 2 2.72750- 4 3.20000+ 1 4.40000+ 1 8.35902- 3 2.83020- 4 3.20000+ 1 4.60000+ 1 1.69438- 4 3.03520- 4 3.20000+ 1 4.70000+ 1 1.69438- 4 3.04160- 4 3.20000+ 1 5.80000+ 1 2.74325- 4 3.02390- 4 3.30000+ 1 3.30000+ 1 8.32701- 3 2.07810- 4 3.30000+ 1 3.50000+ 1 9.53188- 2 3.07160- 4 3.30000+ 1 3.60000+ 1 3.07416- 3 3.08250- 4 3.30000+ 1 4.10000+ 1 2.00911- 3 2.62890- 4 3.30000+ 1 4.30000+ 1 9.23877- 3 2.81760- 4 3.30000+ 1 4.40000+ 1 4.56701- 3 2.92030- 4 3.30000+ 1 4.60000+ 1 1.29102- 4 3.12530- 4 3.30000+ 1 4.70000+ 1 7.26209- 5 3.13170- 4 3.30000+ 1 5.80000+ 1 1.93652- 4 3.11400- 4 3.50000+ 1 3.50000+ 1 5.60826- 3 4.06510- 4 3.50000+ 1 3.60000+ 1 1.81456- 2 4.07600- 4 3.50000+ 1 4.10000+ 1 8.65858- 3 3.62240- 4 3.50000+ 1 4.30000+ 1 7.51869- 3 3.81110- 4 3.50000+ 1 4.40000+ 1 1.07983- 2 3.91380- 4 3.50000+ 1 4.60000+ 1 3.68979- 4 4.11880- 4 3.50000+ 1 4.70000+ 1 4.91945- 4 4.12520- 4 3.50000+ 1 5.80000+ 1 8.52720- 4 4.10750- 4 3.60000+ 1 3.60000+ 1 1.21026- 4 4.08690- 4 3.60000+ 1 4.10000+ 1 2.58191- 4 3.63330- 4 3.60000+ 1 4.30000+ 1 8.06848- 4 3.82200- 4 3.60000+ 1 4.40000+ 1 3.38860- 4 3.92470- 4 3.60000+ 1 4.60000+ 1 2.42048- 5 4.12970- 4 3.60000+ 1 4.70000+ 1 8.06848- 6 4.13610- 4 3.60000+ 1 5.80000+ 1 2.42048- 5 4.11840- 4 4.10000+ 1 4.10000+ 1 6.45502- 5 3.17970- 4 4.10000+ 1 4.30000+ 1 7.10043- 4 3.36840- 4 4.10000+ 1 4.40000+ 1 5.08336- 4 3.47110- 4 4.10000+ 1 4.60000+ 1 8.06870- 6 3.67610- 4 4.10000+ 1 4.70000+ 1 8.06870- 6 3.68250- 4 4.10000+ 1 5.80000+ 1 1.61369- 5 3.66480- 4 4.30000+ 1 4.30000+ 1 2.58197- 4 3.55710- 4 4.30000+ 1 4.40000+ 1 4.19590- 4 3.65980- 4 4.30000+ 1 4.60000+ 1 4.03420- 5 3.86480- 4 4.30000+ 1 4.70000+ 1 3.22736- 5 3.87120- 4 4.30000+ 1 5.80000+ 1 6.45498- 5 3.85350- 4 4.40000+ 1 4.40000+ 1 8.87558- 5 3.76250- 4 4.40000+ 1 4.60000+ 1 2.42055- 5 3.96750- 4 4.40000+ 1 4.70000+ 1 1.61369- 5 3.97390- 4 4.40000+ 1 5.80000+ 1 4.03423- 5 3.95620- 4 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 9.14010- 5 3.05130- 4 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 3.50000+ 1 4.38040- 3 6.82300- 5 2.70000+ 1 3.60000+ 1 4.63537- 2 6.93200- 5 2.70000+ 1 4.10000+ 1 3.03860- 3 2.39600- 5 2.70000+ 1 4.30000+ 1 3.07810- 3 4.28300- 5 2.70000+ 1 4.40000+ 1 4.26211- 3 5.31000- 5 2.70000+ 1 4.60000+ 1 1.26279- 4 7.36000- 5 2.70000+ 1 4.70000+ 1 1.34169- 4 7.42400- 5 2.70000+ 1 5.80000+ 1 2.20991- 4 7.24700- 5 2.90000+ 1 3.20000+ 1 6.81323- 3 2.31700- 5 2.90000+ 1 3.30000+ 1 1.29201- 2 3.21800- 5 2.90000+ 1 3.50000+ 1 5.72726- 4 1.31530- 4 2.90000+ 1 3.60000+ 1 4.09313- 2 1.32620- 4 2.90000+ 1 4.10000+ 1 3.53303- 3 8.72600- 5 2.90000+ 1 4.30000+ 1 8.40506- 4 1.06130- 4 2.90000+ 1 4.40000+ 1 1.79260- 3 1.16400- 4 2.90000+ 1 4.60000+ 1 1.11572- 4 1.36900- 4 2.90000+ 1 4.70000+ 1 1.19008- 4 1.37540- 4 2.90000+ 1 5.80000+ 1 3.42155- 4 1.35770- 4 3.00000+ 1 3.20000+ 1 1.36117- 1 8.35600- 5 3.00000+ 1 3.30000+ 1 3.02582- 1 9.25700- 5 3.00000+ 1 3.50000+ 1 1.14694- 2 1.91920- 4 3.00000+ 1 3.60000+ 1 7.58856- 2 1.93010- 4 3.00000+ 1 4.10000+ 1 1.33701- 2 1.47650- 4 3.00000+ 1 4.30000+ 1 4.73908- 3 1.66520- 4 3.00000+ 1 4.40000+ 1 1.30062- 2 1.76790- 4 3.00000+ 1 4.60000+ 1 5.94270- 4 1.97290- 4 3.00000+ 1 4.70000+ 1 1.10678- 3 1.97930- 4 3.00000+ 1 5.80000+ 1 1.17369- 3 1.96160- 4 3.20000+ 1 3.20000+ 1 3.42466- 3 1.77640- 4 3.20000+ 1 3.30000+ 1 3.45737- 2 1.86650- 4 3.20000+ 1 3.50000+ 1 1.79032- 3 2.86000- 4 3.20000+ 1 3.60000+ 1 6.26298- 2 2.87090- 4 3.20000+ 1 4.10000+ 1 1.54507- 3 2.41730- 4 3.20000+ 1 4.30000+ 1 1.55252- 3 2.60600- 4 3.20000+ 1 4.40000+ 1 6.98293- 3 2.70870- 4 3.20000+ 1 4.60000+ 1 2.97134- 5 2.91370- 4 3.20000+ 1 4.70000+ 1 1.11431- 4 2.92010- 4 3.20000+ 1 5.80000+ 1 1.48571- 4 2.90240- 4 3.30000+ 1 3.30000+ 1 2.48032- 2 1.95660- 4 3.30000+ 1 3.50000+ 1 9.93322- 3 2.95010- 4 3.30000+ 1 3.60000+ 1 8.80740- 2 2.96100- 4 3.30000+ 1 4.10000+ 1 2.86675- 3 2.50740- 4 3.30000+ 1 4.30000+ 1 3.33578- 3 2.69610- 4 3.30000+ 1 4.40000+ 1 1.49450- 2 2.79880- 4 3.30000+ 1 4.60000+ 1 1.78718- 4 3.00380- 4 3.30000+ 1 4.70000+ 1 1.78718- 4 3.01020- 4 3.30000+ 1 5.80000+ 1 2.82958- 4 2.99250- 4 3.50000+ 1 3.50000+ 1 6.35900- 5 3.94360- 4 3.50000+ 1 3.60000+ 1 1.39652- 2 3.95450- 4 3.50000+ 1 4.10000+ 1 2.30503- 4 3.50090- 4 3.50000+ 1 4.30000+ 1 5.56378- 5 3.68960- 4 3.50000+ 1 4.40000+ 1 8.98187- 4 3.79230- 4 3.50000+ 1 4.60000+ 1 7.94859- 6 3.99730- 4 3.50000+ 1 4.70000+ 1 2.38460- 5 4.00370- 4 3.50000+ 1 5.80000+ 1 1.58969- 5 3.98600- 4 3.60000+ 1 3.60000+ 1 8.92755- 3 3.96540- 4 3.60000+ 1 4.10000+ 1 8.06086- 3 3.51180- 4 3.60000+ 1 4.30000+ 1 6.77233- 3 3.70050- 4 3.60000+ 1 4.40000+ 1 1.05226- 2 3.80320- 4 3.60000+ 1 4.60000+ 1 3.68145- 4 4.00820- 4 3.60000+ 1 4.70000+ 1 4.37180- 4 4.01460- 4 3.60000+ 1 5.80000+ 1 7.89982- 4 3.99690- 4 4.10000+ 1 4.10000+ 1 5.19958- 5 3.05820- 4 4.10000+ 1 4.30000+ 1 2.89702- 4 3.24690- 4 4.10000+ 1 4.40000+ 1 7.13105- 4 3.34960- 4 4.10000+ 1 4.60000+ 1 7.42828- 6 3.55460- 4 4.10000+ 1 4.70000+ 1 7.42828- 6 3.56100- 4 4.10000+ 1 5.80000+ 1 7.42828- 6 3.54330- 4 4.30000+ 1 4.30000+ 1 2.97114- 5 3.43560- 4 4.30000+ 1 4.40000+ 1 2.07988- 4 3.53830- 4 4.30000+ 1 4.60000+ 1 7.42820- 6 3.74330- 4 4.30000+ 1 4.70000+ 1 7.42820- 6 3.74970- 4 4.30000+ 1 5.80000+ 1 2.97114- 5 3.73200- 4 4.40000+ 1 4.40000+ 1 2.82268- 4 3.64100- 4 4.40000+ 1 4.60000+ 1 2.22844- 5 3.84600- 4 4.40000+ 1 4.70000+ 1 4.45669- 5 3.85240- 4 4.40000+ 1 5.80000+ 1 5.94258- 5 3.83470- 4 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.39080- 6 6.33000- 5 3.00000+ 1 2.13674- 5 1.23690- 4 4.30000+ 1 3.08430- 6 3.00730- 4 4.40000+ 1 4.33715- 8 3.11000- 4 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.50000+ 1 3.14203- 2 5.31800- 5 2.90000+ 1 3.60000+ 1 5.27399- 2 5.42700- 5 2.90000+ 1 4.10000+ 1 2.52174- 2 8.91000- 6 2.90000+ 1 4.30000+ 1 1.68682- 2 2.77800- 5 2.90000+ 1 4.40000+ 1 3.14977- 2 3.80500- 5 2.90000+ 1 4.60000+ 1 7.10785- 4 5.85500- 5 2.90000+ 1 4.70000+ 1 1.43372- 3 5.91900- 5 2.90000+ 1 5.80000+ 1 2.41126- 3 5.74200- 5 3.00000+ 1 3.20000+ 1 2.17084- 1 5.21000- 6 3.00000+ 1 3.30000+ 1 2.05656- 1 1.42200- 5 3.00000+ 1 3.50000+ 1 6.69192- 2 1.13570- 4 3.00000+ 1 3.60000+ 1 6.43795- 2 1.14660- 4 3.00000+ 1 4.10000+ 1 2.32278- 2 6.93000- 5 3.00000+ 1 4.30000+ 1 2.32472- 2 8.81700- 5 3.00000+ 1 4.40000+ 1 2.12044- 2 9.84400- 5 3.00000+ 1 4.60000+ 1 1.12997- 3 1.18940- 4 3.00000+ 1 4.70000+ 1 1.04271- 3 1.19580- 4 3.00000+ 1 5.80000+ 1 2.27594- 3 1.17810- 4 3.20000+ 1 3.20000+ 1 1.72838- 3 9.92900- 5 3.20000+ 1 3.30000+ 1 1.24193- 1 1.08300- 4 3.20000+ 1 3.50000+ 1 1.71732- 3 2.07650- 4 3.20000+ 1 3.60000+ 1 5.87643- 3 2.08740- 4 3.20000+ 1 4.10000+ 1 6.74735- 3 1.63380- 4 3.20000+ 1 4.30000+ 1 1.30417- 3 1.82250- 4 3.20000+ 1 4.40000+ 1 5.62704- 3 1.92520- 4 3.20000+ 1 4.60000+ 1 3.07421- 5 2.13020- 4 3.20000+ 1 4.70000+ 1 2.60806- 4 2.13660- 4 3.20000+ 1 5.80000+ 1 5.34562- 4 2.11890- 4 3.30000+ 1 3.30000+ 1 2.84503- 2 1.17310- 4 3.30000+ 1 3.50000+ 1 6.13684- 3 2.16660- 4 3.30000+ 1 3.60000+ 1 4.20834- 3 2.17750- 4 3.30000+ 1 4.10000+ 1 8.73830- 3 1.72390- 4 3.30000+ 1 4.30000+ 1 3.91345- 3 1.91260- 4 3.30000+ 1 4.40000+ 1 3.39540- 3 2.01530- 4 3.30000+ 1 4.60000+ 1 2.44523- 4 2.22030- 4 3.30000+ 1 4.70000+ 1 1.35032- 4 2.22670- 4 3.30000+ 1 5.80000+ 1 6.90570- 4 2.20900- 4 3.50000+ 1 3.50000+ 1 6.15526- 6 3.16010- 4 3.50000+ 1 3.60000+ 1 3.32040- 4 3.17100- 4 3.50000+ 1 4.10000+ 1 1.25808- 3 2.71740- 4 3.50000+ 1 4.30000+ 1 1.05365- 4 2.90610- 4 3.50000+ 1 4.40000+ 1 4.06501- 4 3.00880- 4 3.50000+ 1 4.60000+ 1 4.46567- 6 3.21380- 4 3.50000+ 1 4.70000+ 1 1.42418- 5 3.22020- 4 3.50000+ 1 5.80000+ 1 9.00374- 5 3.20250- 4 3.60000+ 1 3.60000+ 1 4.13090- 5 3.18190- 4 3.60000+ 1 4.10000+ 1 1.52481- 3 2.72830- 4 3.60000+ 1 4.30000+ 1 2.70030- 4 2.91700- 4 3.60000+ 1 4.40000+ 1 2.36776- 4 3.01970- 4 3.60000+ 1 4.60000+ 1 1.15531- 5 3.22470- 4 3.60000+ 1 4.70000+ 1 9.80219- 6 3.23110- 4 3.60000+ 1 5.80000+ 1 1.09113- 4 3.21340- 4 4.10000+ 1 4.10000+ 1 5.61371- 4 2.27470- 4 4.10000+ 1 4.30000+ 1 6.66102- 4 2.46340- 4 4.10000+ 1 4.40000+ 1 9.76588- 4 2.56610- 4 4.10000+ 1 4.60000+ 1 3.38520- 5 2.77110- 4 4.10000+ 1 4.70000+ 1 4.22875- 5 2.77750- 4 4.10000+ 1 5.80000+ 1 9.61879- 5 2.75980- 4 4.30000+ 1 4.30000+ 1 6.40666- 5 2.65210- 4 4.30000+ 1 4.40000+ 1 3.72831- 4 2.75480- 4 4.30000+ 1 4.60000+ 1 3.85085- 6 2.95980- 4 4.30000+ 1 4.70000+ 1 1.02687- 5 2.96620- 4 4.30000+ 1 5.80000+ 1 5.01802- 5 2.94850- 4 4.40000+ 1 4.40000+ 1 1.72003- 4 2.85750- 4 4.40000+ 1 4.60000+ 1 1.65706- 5 3.06250- 4 4.40000+ 1 4.70000+ 1 1.13189- 5 3.06890- 4 4.40000+ 1 5.80000+ 1 7.77158- 5 3.05120- 4 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 4.71592- 5 1.54470- 4 4.10000+ 1 5.52553- 6 2.18560- 4 5.80000+ 1 5.98093- 7 2.67070- 4 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.50000+ 1 1.38371- 2 5.02700- 5 3.00000+ 1 3.60000+ 1 8.58643- 3 5.13600- 5 3.00000+ 1 4.10000+ 1 1.80217- 2 6.00000- 6 3.00000+ 1 4.30000+ 1 1.03126- 2 2.48700- 5 3.00000+ 1 4.40000+ 1 8.67923- 3 3.51400- 5 3.00000+ 1 4.60000+ 1 4.32408- 4 5.56400- 5 3.00000+ 1 4.70000+ 1 4.97721- 4 5.62800- 5 3.00000+ 1 5.80000+ 1 1.20310- 3 5.45100- 5 3.20000+ 1 3.20000+ 1 1.08124- 1 3.59900- 5 3.20000+ 1 3.30000+ 1 4.56493- 1 4.50000- 5 3.20000+ 1 3.50000+ 1 4.64019- 2 1.44350- 4 3.20000+ 1 3.60000+ 1 1.03674- 1 1.45440- 4 3.20000+ 1 4.10000+ 1 4.19316- 2 1.00080- 4 3.20000+ 1 4.30000+ 1 2.80984- 2 1.18950- 4 3.20000+ 1 4.40000+ 1 4.43350- 2 1.29220- 4 3.20000+ 1 4.60000+ 1 9.89718- 4 1.49720- 4 3.20000+ 1 4.70000+ 1 2.03655- 3 1.50360- 4 3.20000+ 1 5.80000+ 1 4.16110- 3 1.48590- 4 3.30000+ 1 3.30000+ 1 1.83079- 2 5.40100- 5 3.30000+ 1 3.50000+ 1 2.53973- 2 1.53360- 4 3.30000+ 1 3.60000+ 1 5.95874- 3 1.54450- 4 3.30000+ 1 4.10000+ 1 4.03226- 3 1.09090- 4 3.30000+ 1 4.30000+ 1 2.14757- 2 1.27960- 4 3.30000+ 1 4.40000+ 1 4.73372- 3 1.38230- 4 3.30000+ 1 4.60000+ 1 4.89459- 4 1.58730- 4 3.30000+ 1 4.70000+ 1 1.38703- 4 1.59370- 4 3.30000+ 1 5.80000+ 1 3.30626- 4 1.57600- 4 3.50000+ 1 3.50000+ 1 2.65222- 4 2.52710- 4 3.50000+ 1 3.60000+ 1 3.18206- 3 2.53800- 4 3.50000+ 1 4.10000+ 1 1.30785- 3 2.08440- 4 3.50000+ 1 4.30000+ 1 2.72555- 3 2.27310- 4 3.50000+ 1 4.40000+ 1 1.49976- 3 2.37580- 4 3.50000+ 1 4.60000+ 1 2.84671- 5 2.58080- 4 3.50000+ 1 4.70000+ 1 6.96158- 5 2.58720- 4 3.50000+ 1 5.80000+ 1 1.33322- 4 2.56950- 4 3.60000+ 1 3.60000+ 1 1.13101- 4 2.54890- 4 3.60000+ 1 4.10000+ 1 4.69268- 4 2.09530- 4 3.60000+ 1 4.30000+ 1 4.34044- 3 2.28400- 4 3.60000+ 1 4.40000+ 1 4.65335- 4 2.38670- 4 3.60000+ 1 4.60000+ 1 4.89535- 5 2.59170- 4 3.60000+ 1 4.70000+ 1 1.15346- 5 2.59810- 4 3.60000+ 1 5.80000+ 1 3.76989- 5 2.58040- 4 4.10000+ 1 4.10000+ 1 1.05498- 4 1.64170- 4 4.10000+ 1 4.30000+ 1 2.02255- 3 1.83040- 4 4.10000+ 1 4.40000+ 1 3.41439- 4 1.93310- 4 4.10000+ 1 4.60000+ 1 4.54877- 5 2.13810- 4 4.10000+ 1 4.70000+ 1 1.45239- 5 2.14450- 4 4.10000+ 1 5.80000+ 1 1.67166- 5 2.12680- 4 4.30000+ 1 4.30000+ 1 1.07559- 3 2.01910- 4 4.30000+ 1 4.40000+ 1 2.42312- 3 2.12180- 4 4.30000+ 1 4.60000+ 1 7.11356- 5 2.32680- 4 4.30000+ 1 4.70000+ 1 1.06455- 4 2.33320- 4 4.30000+ 1 5.80000+ 1 1.86418- 4 2.31550- 4 4.40000+ 1 4.40000+ 1 9.52474- 5 2.22450- 4 4.40000+ 1 4.60000+ 1 3.87946- 5 2.42950- 4 4.40000+ 1 4.70000+ 1 7.38957- 6 2.43590- 4 4.40000+ 1 5.80000+ 1 1.90893- 5 2.41820- 4 1 93000 0 7 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 6.13770- 7 9.40800- 5 3.30000+ 1 7.35380- 6 1.03090- 4 4.10000+ 1 3.14740- 6 1.58170- 4 5.80000+ 1 3.32000- 7 2.06680- 4 1 93000 0 9 2.37000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.50000+ 1 2.05387- 2 8.39600- 5 3.20000+ 1 3.60000+ 1 7.66141- 2 8.50500- 5 3.20000+ 1 4.10000+ 1 1.74265- 2 3.96900- 5 3.20000+ 1 4.30000+ 1 1.25169- 2 5.85600- 5 3.20000+ 1 4.40000+ 1 3.50695- 2 6.88300- 5 3.20000+ 1 4.60000+ 1 4.19493- 4 8.93300- 5 3.20000+ 1 4.70000+ 1 1.21180- 3 8.99700- 5 3.20000+ 1 5.80000+ 1 1.41310- 3 8.82000- 5 3.30000+ 1 3.50000+ 1 2.66858- 1 9.29700- 5 3.30000+ 1 3.60000+ 1 2.37467- 1 9.40600- 5 3.30000+ 1 4.10000+ 1 8.92467- 2 4.87000- 5 3.30000+ 1 4.30000+ 1 9.11598- 2 6.75700- 5 3.30000+ 1 4.40000+ 1 9.86422- 2 7.78400- 5 3.30000+ 1 4.60000+ 1 4.22633- 3 9.83400- 5 3.30000+ 1 4.70000+ 1 3.87887- 3 9.89800- 5 3.30000+ 1 5.80000+ 1 8.96074- 3 9.72100- 5 3.50000+ 1 3.50000+ 1 9.92496- 5 1.92320- 4 3.50000+ 1 3.60000+ 1 4.48204- 3 1.93410- 4 3.50000+ 1 4.10000+ 1 2.14183- 3 1.48050- 4 3.50000+ 1 4.30000+ 1 6.00025- 4 1.66920- 4 3.50000+ 1 4.40000+ 1 5.41828- 3 1.77190- 4 3.50000+ 1 4.60000+ 1 1.52167- 5 1.97690- 4 3.50000+ 1 4.70000+ 1 1.26233- 4 1.98330- 4 3.50000+ 1 5.80000+ 1 9.61433- 5 1.96560- 4 3.60000+ 1 3.60000+ 1 1.14014- 3 1.94500- 4 3.60000+ 1 4.10000+ 1 3.98282- 3 1.49140- 4 3.60000+ 1 4.30000+ 1 3.00208- 3 1.68010- 4 3.60000+ 1 4.40000+ 1 6.41157- 3 1.78280- 4 3.60000+ 1 4.60000+ 1 1.24308- 4 1.98780- 4 3.60000+ 1 4.70000+ 1 1.17849- 4 1.99420- 4 3.60000+ 1 5.80000+ 1 2.47248- 4 1.97650- 4 4.10000+ 1 4.10000+ 1 2.56472- 4 1.03780- 4 4.10000+ 1 4.30000+ 1 4.25462- 4 1.22650- 4 4.10000+ 1 4.40000+ 1 1.88121- 3 1.32920- 4 4.10000+ 1 4.60000+ 1 2.91556- 5 1.53420- 4 4.10000+ 1 4.70000+ 1 4.55667- 5 1.54060- 4 4.10000+ 1 5.80000+ 1 4.03297- 5 1.52290- 4 4.30000+ 1 4.30000+ 1 5.21462- 7 1.41520- 4 4.30000+ 1 4.40000+ 1 1.63969- 3 1.51790- 4 4.30000+ 1 4.60000+ 1 8.69070- 6 1.72290- 4 4.30000+ 1 4.70000+ 1 2.98972- 5 1.72930- 4 4.30000+ 1 5.80000+ 1 2.12060- 5 1.71160- 4 4.40000+ 1 4.40000+ 1 1.63586- 3 1.62060- 4 4.40000+ 1 4.60000+ 1 7.05790- 5 1.82560- 4 4.40000+ 1 4.70000+ 1 8.69387- 5 1.83200- 4 4.40000+ 1 5.80000+ 1 1.61522- 4 1.81430- 4 1 94000 0 0 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 3.50000+ 1 2.57000+ 0 3.60000+ 1 3.43000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 5.80000+ 1 2.00000+ 0 1 94000 0 0 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.22350- 1 3.00000+ 0 2.31220- 2 5.00000+ 0 2.23710- 2 6.00000+ 0 1.80710- 2 8.00000+ 0 5.90210- 3 1.00000+ 1 5.54850- 3 1.10000+ 1 4.54990- 3 1.30000+ 1 3.97780- 3 1.40000+ 1 3.77690- 3 1.60000+ 1 1.53370- 3 1.80000+ 1 1.37050- 3 1.90000+ 1 1.10600- 3 2.10000+ 1 8.42550- 4 2.20000+ 1 7.94170- 4 2.40000+ 1 4.46080- 4 2.50000+ 1 4.33090- 4 2.70000+ 1 3.46640- 4 2.90000+ 1 2.81330- 4 3.00000+ 1 2.16420- 4 3.20000+ 1 1.19500- 4 3.30000+ 1 1.09850- 4 3.50000+ 1 7.40000- 6 3.60000+ 1 6.25000- 6 4.10000+ 1 5.31200- 5 4.30000+ 1 3.39200- 5 4.40000+ 1 2.34200- 5 5.80000+ 1 5.42000- 6 1 94000 0 0 2.44000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.86930- 1 3.00000+ 0 4.70370- 2 5.00000+ 0 4.71040- 2 6.00000+ 0 2.90660- 2 8.00000+ 0 1.50670- 2 1.00000+ 1 1.49330- 2 1.10000+ 1 1.03490- 2 1.30000+ 1 1.01780- 2 1.40000+ 1 9.34540- 3 1.60000+ 1 5.22460- 3 1.80000+ 1 5.06350- 3 1.90000+ 1 3.64760- 3 2.10000+ 1 3.39870- 3 2.20000+ 1 3.14430- 3 2.40000+ 1 2.78040- 3 2.50000+ 1 2.69340- 3 2.70000+ 1 1.66170- 3 2.90000+ 1 1.53090- 3 3.00000+ 1 1.11110- 3 3.20000+ 1 8.90890- 4 3.30000+ 1 8.20820- 4 3.50000+ 1 3.91240- 4 3.60000+ 1 3.69810- 4 4.10000+ 1 3.92910- 4 4.30000+ 1 3.11140- 4 4.40000+ 1 2.07010- 4 5.80000+ 1 4.11500- 5 1 94000 0 0 2.44000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.98950-11 3.00000+ 0 2.88690-10 5.00000+ 0 2.32700-10 6.00000+ 0 2.88230-10 8.00000+ 0 7.51470-10 1.00000+ 1 7.03970-10 1.10000+ 1 8.03600-10 1.30000+ 1 6.91220-10 1.40000+ 1 7.20570-10 1.60000+ 1 1.62730- 9 1.80000+ 1 1.61380- 9 1.90000+ 1 1.80760- 9 2.10000+ 1 1.78210- 9 2.20000+ 1 1.83930- 9 2.40000+ 1 1.76440- 9 2.50000+ 1 1.79220- 9 2.70000+ 1 3.35840- 9 2.90000+ 1 3.47740- 9 3.00000+ 1 3.89250- 9 3.20000+ 1 4.31730- 9 3.30000+ 1 4.46010- 9 3.50000+ 1 6.78870- 9 3.60000+ 1 7.00880- 9 4.10000+ 1 7.39490- 9 4.30000+ 1 8.24450- 9 4.40000+ 1 9.55360- 9 5.80000+ 1 2.18410- 8 1 94000 0 0 2.44000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.98990- 5 3.00000+ 0 2.73070- 6 5.00000+ 0 4.77920- 6 6.00000+ 0 3.96680- 6 8.00000+ 0 1.26240- 7 1.00000+ 1 1.37320- 7 1.10000+ 1 1.54530- 7 1.30000+ 1 2.06280- 7 1.40000+ 1 1.89280- 7 1.60000+ 1 7.29020- 9 1.80000+ 1 9.12330- 9 1.90000+ 1 6.21160- 9 2.10000+ 1 4.17000- 9 2.20000+ 1 3.17440- 9 2.40000+ 1 1.55970-10 2.50000+ 1 1.40200-10 2.70000+ 1 5.21620-10 2.90000+ 1 1.00940- 9 3.00000+ 1 4.57650-10 1 94000 0 0 2.44000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.01650- 6 3.00000+ 0 1.34220- 5 5.00000+ 0 5.20780- 6 6.00000+ 0 4.49860- 6 8.00000+ 0 2.02030- 5 1.00000+ 1 1.51880- 5 1.10000+ 1 1.18070- 5 1.30000+ 1 3.59480- 6 1.40000+ 1 3.54170- 6 1.60000+ 1 1.44210- 5 1.80000+ 1 1.54270- 5 1.90000+ 1 9.65020- 6 2.10000+ 1 6.26810- 6 2.20000+ 1 6.77810- 6 2.40000+ 1 6.43820- 7 2.50000+ 1 4.37030- 7 2.70000+ 1 2.57900- 5 2.90000+ 1 1.05650- 5 3.00000+ 1 1.07500- 5 1 94000 0 0 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.41546- 4 3.00000+ 0 1.05424- 3 5.00000+ 0 7.79376- 4 6.00000+ 0 7.33819- 4 8.00000+ 0 8.06518- 4 1.00000+ 1 7.11969- 4 1.10000+ 1 6.24110- 4 1.30000+ 1 4.79532- 4 1.40000+ 1 4.70090- 4 1.60000+ 1 4.23174- 4 1.80000+ 1 4.07283- 4 1.90000+ 1 3.93105- 4 2.10000+ 1 3.11243- 4 2.20000+ 1 3.08468- 4 2.40000+ 1 1.84047- 4 2.50000+ 1 1.84792- 4 2.70000+ 1 2.05174- 4 2.90000+ 1 1.84602- 4 3.00000+ 1 1.30910- 4 3.20000+ 1 1.19500- 4 3.30000+ 1 1.09850- 4 3.50000+ 1 7.40000- 6 3.60000+ 1 6.25000- 6 4.10000+ 1 5.31200- 5 4.30000+ 1 3.39200- 5 4.40000+ 1 2.34200- 5 5.80000+ 1 5.42000- 6 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.45746+ 0 3.00000+ 0 6.07793- 1 5.00000+ 0 6.74009- 1 6.00000+ 0 5.48429- 1 8.00000+ 0 6.09097- 2 1.00000+ 1 6.23000- 2 1.10000+ 1 5.65547- 2 1.30000+ 1 6.48034- 2 1.40000+ 1 5.80407- 2 1.60000+ 1 2.01090- 3 1.80000+ 1 2.09542- 3 1.90000+ 1 1.42896- 3 2.10000+ 1 9.22784- 4 2.20000+ 1 7.84571- 4 2.40000+ 1 1.43169- 4 2.50000+ 1 1.24704- 4 2.70000+ 1 4.63060- 5 2.90000+ 1 6.31622- 5 3.00000+ 1 1.33920- 5 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.09869- 1 3.00000+ 0 8.54143- 3 5.00000+ 0 1.11910- 2 6.00000+ 0 7.29319- 3 8.00000+ 0 2.10019- 4 1.00000+ 1 2.17249- 4 1.10000+ 1 1.90869- 4 1.30000+ 1 2.23357- 4 1.40000+ 1 1.90998- 4 1.60000+ 1 1.44202- 6 1.80000+ 1 1.26848- 6 1.90000+ 1 8.58322- 7 2.10000+ 1 4.21677- 7 2.20000+ 1 3.40445- 7 2.40000+ 1 4.31122- 8 2.50000+ 1 3.76757- 8 2.70000+ 1 6.90717- 9 2.90000+ 1 1.06771- 8 3.00000+ 1 1.66831- 9 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.29890+ 0 3.00000+ 0 1.36515+ 1 5.00000+ 0 9.80713+ 0 6.00000+ 0 9.19166+ 0 8.00000+ 0 1.03120+ 1 1.00000+ 1 8.92966+ 0 1.10000+ 1 7.76630+ 0 1.30000+ 1 5.69522+ 0 1.40000+ 1 5.54603+ 0 1.60000+ 1 4.65470+ 0 1.80000+ 1 4.45924+ 0 1.90000+ 1 4.25958+ 0 2.10000+ 1 3.22605+ 0 2.20000+ 1 3.13356+ 0 2.40000+ 1 1.83389+ 0 2.50000+ 1 1.72848+ 0 2.70000+ 1 1.79896+ 0 2.90000+ 1 1.06570+ 0 3.00000+ 1 9.99987- 1 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.17392- 2 3.00000+ 0 1.35263- 2 5.00000+ 0 1.04006- 2 6.00000+ 0 1.00440- 2 8.00000+ 0 4.88556- 3 1.00000+ 1 4.61928- 3 1.10000+ 1 3.73492- 3 1.30000+ 1 3.27491- 3 1.40000+ 1 3.11581- 3 1.60000+ 1 1.10908- 3 1.80000+ 1 9.61949- 4 1.90000+ 1 7.12037- 4 2.10000+ 1 5.30885- 4 2.20000+ 1 4.85361- 4 2.40000+ 1 2.61990- 4 2.50000+ 1 2.48261- 4 2.70000+ 1 1.41459- 4 2.90000+ 1 9.67171- 5 3.00000+ 1 8.55083- 5 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.90998- 1 9.99790- 2 6.00000+ 0 4.60637- 1 1.04279- 1 1.00000+ 1 5.34166- 2 1.16802- 1 1.10000+ 1 1.04789- 1 1.17800- 1 1.30000+ 1 1.95719- 3 1.18372- 1 1.40000+ 1 2.20338- 3 1.18573- 1 1.80000+ 1 1.34569- 2 1.20979- 1 1.90000+ 1 2.74298- 2 1.21244- 1 2.10000+ 1 5.85826- 4 1.21507- 1 2.20000+ 1 6.61975- 4 1.21556- 1 2.90000+ 1 3.33558- 3 1.22069- 1 3.00000+ 1 6.69825- 3 1.22134- 1 3.20000+ 1 1.23719- 4 1.22230- 1 3.30000+ 1 1.38569- 4 1.22240- 1 4.30000+ 1 5.83906- 4 1.22316- 1 4.40000+ 1 1.08429- 3 1.22327- 1 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.78083- 3 7.61060- 2 3.00000+ 0 5.00000+ 0 7.09825- 3 7.68570- 2 3.00000+ 0 6.00000+ 0 2.50982- 3 8.11570- 2 3.00000+ 0 8.00000+ 0 1.57740- 3 9.33259- 2 3.00000+ 0 1.00000+ 1 1.56195- 3 9.36795- 2 3.00000+ 0 1.10000+ 1 6.26344- 4 9.46781- 2 3.00000+ 0 1.30000+ 1 5.49625- 5 9.52502- 2 3.00000+ 0 1.40000+ 1 3.35246- 5 9.54511- 2 3.00000+ 0 1.60000+ 1 4.21380- 4 9.76943- 2 3.00000+ 0 1.80000+ 1 4.10855- 4 9.78575- 2 3.00000+ 0 1.90000+ 1 1.67078- 4 9.81220- 2 3.00000+ 0 2.10000+ 1 1.65174- 5 9.83854- 2 3.00000+ 0 2.20000+ 1 9.92784- 6 9.84338- 2 3.00000+ 0 2.40000+ 1 5.75529- 8 9.87819- 2 3.00000+ 0 2.50000+ 1 5.75529- 8 9.87949- 2 3.00000+ 0 2.70000+ 1 1.09786- 4 9.88814- 2 3.00000+ 0 2.90000+ 1 1.01033- 4 9.89467- 2 3.00000+ 0 3.00000+ 1 4.06034- 5 9.90116- 2 3.00000+ 0 3.20000+ 1 3.45324- 6 9.91085- 2 3.00000+ 0 3.30000+ 1 2.04312- 6 9.91181- 2 5.00000+ 0 5.00000+ 0 2.41656- 4 7.76080- 2 5.00000+ 0 6.00000+ 0 3.99857- 3 8.19080- 2 5.00000+ 0 8.00000+ 0 1.31308- 3 9.40769- 2 5.00000+ 0 1.00000+ 1 9.45855- 5 9.44305- 2 5.00000+ 0 1.10000+ 1 8.50441- 4 9.54291- 2 5.00000+ 0 1.30000+ 1 5.51354- 5 9.60012- 2 5.00000+ 0 1.40000+ 1 1.21775- 4 9.62021- 2 5.00000+ 0 1.60000+ 1 3.41326- 4 9.84453- 2 5.00000+ 0 1.80000+ 1 2.42864- 5 9.86085- 2 5.00000+ 0 1.90000+ 1 2.18092- 4 9.88730- 2 5.00000+ 0 2.10000+ 1 1.57679- 5 9.91364- 2 5.00000+ 0 2.20000+ 1 3.51633- 5 9.91848- 2 5.00000+ 0 2.40000+ 1 5.17953- 7 9.95329- 2 5.00000+ 0 2.50000+ 1 7.48170- 7 9.95459- 2 5.00000+ 0 2.70000+ 1 8.82818- 5 9.96324- 2 5.00000+ 0 2.90000+ 1 5.92755- 6 9.96977- 2 5.00000+ 0 3.00000+ 1 5.24559- 5 9.97626- 2 5.00000+ 0 3.20000+ 1 3.25154- 6 9.98595- 2 5.00000+ 0 3.30000+ 1 7.19393- 6 9.98691- 2 6.00000+ 0 6.00000+ 0 1.60173- 3 8.62080- 2 6.00000+ 0 8.00000+ 0 4.11476- 4 9.83769- 2 6.00000+ 0 1.00000+ 1 7.29331- 4 9.87305- 2 6.00000+ 0 1.10000+ 1 7.02633- 4 9.97291- 2 6.00000+ 0 1.30000+ 1 1.29493- 4 1.00301- 1 6.00000+ 0 1.40000+ 1 1.02153- 4 1.00502- 1 6.00000+ 0 1.60000+ 1 1.03822- 4 1.02745- 1 6.00000+ 0 1.80000+ 1 1.83410- 4 1.02909- 1 6.00000+ 0 1.90000+ 1 1.81657- 4 1.03173- 1 6.00000+ 0 2.10000+ 1 3.76103- 5 1.03436- 1 6.00000+ 0 2.20000+ 1 2.96393- 5 1.03485- 1 6.00000+ 0 2.40000+ 1 7.48182- 7 1.03833- 1 6.00000+ 0 2.50000+ 1 7.76957- 7 1.03846- 1 6.00000+ 0 2.70000+ 1 2.66463- 5 1.03932- 1 6.00000+ 0 2.90000+ 1 4.45738- 5 1.03998- 1 6.00000+ 0 3.00000+ 1 4.37956- 5 1.04063- 1 6.00000+ 0 3.20000+ 1 7.79831- 6 1.04160- 1 6.00000+ 0 3.30000+ 1 6.07185- 6 1.04169- 1 8.00000+ 0 8.00000+ 0 1.62664- 4 1.10546- 1 8.00000+ 0 1.00000+ 1 2.90350- 4 1.10899- 1 8.00000+ 0 1.10000+ 1 1.03649- 4 1.11898- 1 8.00000+ 0 1.30000+ 1 8.83404- 6 1.12470- 1 8.00000+ 0 1.40000+ 1 5.06443- 6 1.12671- 1 8.00000+ 0 1.60000+ 1 8.67580- 5 1.14914- 1 8.00000+ 0 1.80000+ 1 7.64862- 5 1.15077- 1 8.00000+ 0 1.90000+ 1 2.77399- 5 1.15342- 1 8.00000+ 0 2.10000+ 1 2.67615- 6 1.15605- 1 8.00000+ 0 2.20000+ 1 1.49638- 6 1.15654- 1 8.00000+ 0 2.70000+ 1 2.25887- 5 1.16101- 1 8.00000+ 0 2.90000+ 1 1.88198- 5 1.16167- 1 8.00000+ 0 3.00000+ 1 6.73341- 6 1.16231- 1 8.00000+ 0 3.20000+ 1 5.46734- 7 1.16328- 1 8.00000+ 0 3.30000+ 1 3.16537- 7 1.16338- 1 1.00000+ 1 1.00000+ 1 8.69017- 6 1.11253- 1 1.00000+ 1 1.10000+ 1 1.60673- 4 1.12252- 1 1.00000+ 1 1.30000+ 1 9.35209- 6 1.12824- 1 1.00000+ 1 1.40000+ 1 1.63731- 5 1.13025- 1 1.00000+ 1 1.60000+ 1 7.55359- 5 1.15268- 1 1.00000+ 1 1.80000+ 1 4.40249- 6 1.15431- 1 1.00000+ 1 1.90000+ 1 4.14955- 5 1.15695- 1 1.00000+ 1 2.10000+ 1 2.70488- 6 1.15959- 1 1.00000+ 1 2.20000+ 1 4.80540- 6 1.16007- 1 1.00000+ 1 2.40000+ 1 5.75509- 8 1.16355- 1 1.00000+ 1 2.50000+ 1 8.63270- 8 1.16368- 1 1.00000+ 1 2.70000+ 1 1.95381- 5 1.16455- 1 1.00000+ 1 2.90000+ 1 1.06469- 6 1.16520- 1 1.00000+ 1 3.00000+ 1 1.00140- 5 1.16585- 1 1.00000+ 1 3.20000+ 1 5.75509- 7 1.16682- 1 1.00000+ 1 3.30000+ 1 9.78363- 7 1.16692- 1 1.10000+ 1 1.10000+ 1 7.80404- 5 1.13250- 1 1.10000+ 1 1.30000+ 1 2.31355- 5 1.13822- 1 1.10000+ 1 1.40000+ 1 1.74955- 5 1.14023- 1 1.10000+ 1 1.60000+ 1 2.62156- 5 1.16266- 1 1.10000+ 1 1.80000+ 1 4.07179- 5 1.16430- 1 1.10000+ 1 1.90000+ 1 4.04589- 5 1.16694- 1 1.10000+ 1 2.10000+ 1 6.79098- 6 1.16958- 1 1.10000+ 1 2.20000+ 1 5.12218- 6 1.17006- 1 1.10000+ 1 2.40000+ 1 1.15096- 7 1.17354- 1 1.10000+ 1 2.50000+ 1 1.15096- 7 1.17367- 1 1.10000+ 1 2.70000+ 1 6.73351- 6 1.17453- 1 1.10000+ 1 2.90000+ 1 9.92765- 6 1.17519- 1 1.10000+ 1 3.00000+ 1 9.75516- 6 1.17584- 1 1.10000+ 1 3.20000+ 1 1.40998- 6 1.17681- 1 1.10000+ 1 3.30000+ 1 1.06471- 6 1.17690- 1 1.30000+ 1 1.30000+ 1 5.75502- 8 1.14394- 1 1.30000+ 1 1.40000+ 1 2.44593- 6 1.14595- 1 1.30000+ 1 1.60000+ 1 2.24436- 6 1.16839- 1 1.30000+ 1 1.80000+ 1 2.33078- 6 1.17002- 1 1.30000+ 1 1.90000+ 1 5.69756- 6 1.17266- 1 1.30000+ 1 2.10000+ 1 2.87756- 8 1.17530- 1 1.30000+ 1 2.20000+ 1 6.90593- 7 1.17578- 1 1.30000+ 1 2.70000+ 1 5.75502- 7 1.18026- 1 1.30000+ 1 2.90000+ 1 5.75502- 7 1.18091- 1 1.30000+ 1 3.00000+ 1 1.35247- 6 1.18156- 1 1.30000+ 1 3.30000+ 1 1.43867- 7 1.18262- 1 1.40000+ 1 1.40000+ 1 6.04262- 7 1.14796- 1 1.40000+ 1 1.60000+ 1 1.26615- 6 1.17039- 1 1.40000+ 1 1.80000+ 1 3.82688- 6 1.17203- 1 1.40000+ 1 1.90000+ 1 4.25885- 6 1.17467- 1 1.40000+ 1 2.10000+ 1 6.90588- 7 1.17731- 1 1.40000+ 1 2.20000+ 1 3.45305- 7 1.17779- 1 1.40000+ 1 2.70000+ 1 3.16530- 7 1.18226- 1 1.40000+ 1 2.90000+ 1 9.20802- 7 1.18292- 1 1.40000+ 1 3.00000+ 1 1.00712- 6 1.18357- 1 1.40000+ 1 3.20000+ 1 1.43865- 7 1.18454- 1 1.40000+ 1 3.30000+ 1 5.75497- 8 1.18463- 1 1.60000+ 1 1.60000+ 1 1.15680- 5 1.19283- 1 1.60000+ 1 1.80000+ 1 1.98839- 5 1.19446- 1 1.60000+ 1 1.90000+ 1 7.02110- 6 1.19710- 1 1.60000+ 1 2.10000+ 1 6.61819- 7 1.19974- 1 1.60000+ 1 2.20000+ 1 3.74085- 7 1.20022- 1 1.60000+ 1 2.70000+ 1 6.01406- 6 1.20470- 1 1.60000+ 1 2.90000+ 1 4.89175- 6 1.20535- 1 1.60000+ 1 3.00000+ 1 1.69769- 6 1.20600- 1 1.60000+ 1 3.20000+ 1 1.43867- 7 1.20697- 1 1.60000+ 1 3.30000+ 1 8.63260- 8 1.20706- 1 1.80000+ 1 1.80000+ 1 5.46733- 7 1.19609- 1 1.80000+ 1 1.90000+ 1 1.05317- 5 1.19873- 1 1.80000+ 1 2.10000+ 1 6.90602- 7 1.20137- 1 1.80000+ 1 2.20000+ 1 1.12220- 6 1.20185- 1 1.80000+ 1 2.40000+ 1 2.87760- 8 1.20533- 1 1.80000+ 1 2.50000+ 1 2.87760- 8 1.20546- 1 1.80000+ 1 2.70000+ 1 5.15084- 6 1.20633- 1 1.80000+ 1 2.90000+ 1 2.58983- 7 1.20698- 1 1.80000+ 1 3.00000+ 1 2.53215- 6 1.20763- 1 1.80000+ 1 3.20000+ 1 1.43868- 7 1.20860- 1 1.80000+ 1 3.30000+ 1 2.30208- 7 1.20870- 1 1.90000+ 1 1.90000+ 1 5.23695- 6 1.20138- 1 1.90000+ 1 2.10000+ 1 1.66895- 6 1.20401- 1 1.90000+ 1 2.20000+ 1 1.26616- 6 1.20450- 1 1.90000+ 1 2.40000+ 1 2.87755- 8 1.20798- 1 1.90000+ 1 2.50000+ 1 2.87755- 8 1.20811- 1 1.90000+ 1 2.70000+ 1 1.81283- 6 1.20897- 1 1.90000+ 1 2.90000+ 1 2.56106- 6 1.20963- 1 1.90000+ 1 3.00000+ 1 2.53211- 6 1.21028- 1 1.90000+ 1 3.20000+ 1 3.45306- 7 1.21124- 1 1.90000+ 1 3.30000+ 1 2.58979- 7 1.21134- 1 2.10000+ 1 2.20000+ 1 2.01421- 7 1.20713- 1 2.10000+ 1 2.70000+ 1 1.72645- 7 1.21161- 1 2.10000+ 1 2.90000+ 1 1.72645- 7 1.21226- 1 2.10000+ 1 3.00000+ 1 4.02865- 7 1.21291- 1 2.10000+ 1 3.30000+ 1 2.87761- 8 1.21398- 1 2.20000+ 1 2.20000+ 1 6.03679- 8 1.20762- 1 2.20000+ 1 2.70000+ 1 9.05524- 8 1.21209- 1 2.20000+ 1 2.90000+ 1 2.71660- 7 1.21274- 1 2.20000+ 1 3.00000+ 1 3.01845- 7 1.21339- 1 2.20000+ 1 3.20000+ 1 3.01845- 8 1.21436- 1 2.20000+ 1 3.30000+ 1 3.01845- 8 1.21446- 1 2.70000+ 1 2.70000+ 1 7.69055- 7 1.21657- 1 2.70000+ 1 2.90000+ 1 1.25331- 6 1.21722- 1 2.70000+ 1 3.00000+ 1 4.27252- 7 1.21787- 1 2.70000+ 1 3.20000+ 1 2.84835- 8 1.21884- 1 2.70000+ 1 3.30000+ 1 2.84835- 8 1.21894- 1 2.90000+ 1 2.90000+ 1 2.76472- 8 1.21787- 1 2.90000+ 1 3.00000+ 1 6.08217- 7 1.21852- 1 2.90000+ 1 3.20000+ 1 2.76472- 8 1.21949- 1 2.90000+ 1 3.30000+ 1 5.52933- 8 1.21959- 1 3.00000+ 1 3.00000+ 1 3.11210- 7 1.21917- 1 3.00000+ 1 3.20000+ 1 8.48743- 8 1.22014- 1 3.00000+ 1 3.30000+ 1 5.65825- 8 1.22024- 1 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.30640- 5 7.51000- 4 6.00000+ 0 1.04650- 2 5.05100- 3 1.00000+ 1 5.97178- 2 1.75735- 2 1.10000+ 1 4.90848- 2 1.85721- 2 1.30000+ 1 2.89009- 3 1.91442- 2 1.40000+ 1 4.30168- 3 1.93451- 2 1.80000+ 1 1.62529- 2 2.17515- 2 1.90000+ 1 1.54869- 2 2.20160- 2 2.10000+ 1 5.01858- 4 2.22794- 2 2.20000+ 1 8.06147- 4 2.23278- 2 2.90000+ 1 4.03519- 3 2.28407- 2 3.00000+ 1 3.90149- 3 2.29056- 2 3.20000+ 1 9.32807- 5 2.30025- 2 3.30000+ 1 1.51329- 4 2.30121- 2 4.30000+ 1 7.13457- 4 2.30881- 2 4.40000+ 1 6.44228- 4 2.30986- 2 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.20000+ 1 4.22262- 3 0.00000+ 0 5.00000+ 0 2.40000+ 1 1.24227- 2 3.04920- 4 5.00000+ 0 2.50000+ 1 1.64667- 2 3.17910- 4 5.00000+ 0 2.70000+ 1 5.28589- 3 4.04360- 4 5.00000+ 0 2.90000+ 1 4.33042- 3 4.69670- 4 5.00000+ 0 3.00000+ 1 3.33993- 3 5.34580- 4 5.00000+ 0 3.20000+ 1 9.05462- 4 6.31500- 4 5.00000+ 0 3.30000+ 1 1.13008- 3 6.41150- 4 6.00000+ 0 1.10000+ 1 3.46784- 2 5.01100- 4 6.00000+ 0 1.30000+ 1 2.00847- 1 1.07320- 3 6.00000+ 0 1.40000+ 1 2.40166- 1 1.27410- 3 6.00000+ 0 1.60000+ 1 1.66008- 2 3.51730- 3 6.00000+ 0 1.80000+ 1 6.44919- 3 3.68050- 3 6.00000+ 0 1.90000+ 1 8.89426- 3 3.94500- 3 6.00000+ 0 2.10000+ 1 3.23585- 2 4.20845- 3 6.00000+ 0 2.20000+ 1 3.69974- 2 4.25683- 3 6.00000+ 0 2.40000+ 1 1.88478- 2 4.60492- 3 6.00000+ 0 2.50000+ 1 2.29566- 2 4.61791- 3 6.00000+ 0 2.70000+ 1 4.07724- 3 4.70436- 3 6.00000+ 0 2.90000+ 1 1.56808- 3 4.76967- 3 6.00000+ 0 3.00000+ 1 2.14466- 3 4.83458- 3 6.00000+ 0 3.20000+ 1 6.08351- 3 4.93150- 3 6.00000+ 0 3.30000+ 1 6.80759- 3 4.94115- 3 8.00000+ 0 8.00000+ 0 5.58825- 3 1.13178- 2 8.00000+ 0 1.00000+ 1 1.17909- 2 1.16714- 2 8.00000+ 0 1.10000+ 1 1.61089- 2 1.26700- 2 8.00000+ 0 1.30000+ 1 1.12629- 2 1.32421- 2 8.00000+ 0 1.40000+ 1 1.34019- 2 1.34430- 2 8.00000+ 0 1.60000+ 1 2.54567- 3 1.56862- 2 8.00000+ 0 1.80000+ 1 3.07516- 3 1.58494- 2 8.00000+ 0 1.90000+ 1 4.19776- 3 1.61139- 2 8.00000+ 0 2.10000+ 1 2.79446- 3 1.63773- 2 8.00000+ 0 2.20000+ 1 3.31916- 3 1.64257- 2 8.00000+ 0 2.40000+ 1 2.59257- 4 1.67738- 2 8.00000+ 0 2.50000+ 1 2.65327- 4 1.67868- 2 8.00000+ 0 2.70000+ 1 6.44172- 4 1.68733- 2 8.00000+ 0 2.90000+ 1 7.53202- 4 1.69386- 2 8.00000+ 0 3.00000+ 1 1.01279- 3 1.70035- 2 8.00000+ 0 3.20000+ 1 5.60985- 4 1.71004- 2 8.00000+ 0 3.30000+ 1 6.59042- 4 1.71100- 2 1.00000+ 1 1.00000+ 1 1.22982- 5 1.20250- 2 1.00000+ 1 1.10000+ 1 2.17664- 4 1.30236- 2 1.00000+ 1 1.30000+ 1 7.65175- 4 1.35957- 2 1.00000+ 1 1.40000+ 1 5.21840- 3 1.37966- 2 1.00000+ 1 1.60000+ 1 2.13194- 3 1.60398- 2 1.00000+ 1 1.80000+ 1 1.51623- 6 1.62030- 2 1.00000+ 1 1.90000+ 1 4.51488- 5 1.64675- 2 1.00000+ 1 2.10000+ 1 1.57683- 4 1.67309- 2 1.00000+ 1 2.20000+ 1 8.37606- 4 1.67793- 2 1.00000+ 1 2.40000+ 1 9.97319- 5 1.71274- 2 1.00000+ 1 2.50000+ 1 3.41986- 4 1.71404- 2 1.00000+ 1 2.70000+ 1 5.06080- 4 1.72269- 2 1.00000+ 1 2.90000+ 1 3.36926- 7 1.72922- 2 1.00000+ 1 3.00000+ 1 1.02762- 5 1.73571- 2 1.00000+ 1 3.20000+ 1 3.09975- 5 1.74540- 2 1.00000+ 1 3.30000+ 1 1.52123- 4 1.74636- 2 1.10000+ 1 1.10000+ 1 7.55373- 4 1.40222- 2 1.10000+ 1 1.30000+ 1 1.41329- 3 1.45943- 2 1.10000+ 1 1.40000+ 1 8.80712- 4 1.47952- 2 1.10000+ 1 1.60000+ 1 2.81267- 3 1.70384- 2 1.10000+ 1 1.80000+ 1 5.84565- 5 1.72016- 2 1.10000+ 1 1.90000+ 1 3.08787- 4 1.74661- 2 1.10000+ 1 2.10000+ 1 1.67119- 4 1.77295- 2 1.10000+ 1 2.20000+ 1 7.58093- 5 1.77779- 2 1.10000+ 1 2.40000+ 1 1.03439- 4 1.81260- 2 1.10000+ 1 2.50000+ 1 9.09712- 5 1.81390- 2 1.10000+ 1 2.70000+ 1 6.61883- 4 1.82255- 2 1.10000+ 1 2.90000+ 1 1.43199- 5 1.82908- 2 1.10000+ 1 3.00000+ 1 7.05833- 5 1.83557- 2 1.10000+ 1 3.20000+ 1 2.89757- 5 1.84526- 2 1.10000+ 1 3.30000+ 1 1.17919- 5 1.84622- 2 1.30000+ 1 1.30000+ 1 6.28034- 4 1.51664- 2 1.30000+ 1 1.40000+ 1 1.71081- 2 1.53673- 2 1.30000+ 1 1.60000+ 1 1.75742- 3 1.76105- 2 1.30000+ 1 1.80000+ 1 2.31811- 4 1.77737- 2 1.30000+ 1 1.90000+ 1 3.88993- 4 1.80382- 2 1.30000+ 1 2.10000+ 1 3.03741- 4 1.83016- 2 1.30000+ 1 2.20000+ 1 2.96061- 3 1.83500- 2 1.30000+ 1 2.40000+ 1 2.51012- 4 1.86981- 2 1.30000+ 1 2.50000+ 1 6.78234- 4 1.87111- 2 1.30000+ 1 2.70000+ 1 4.02633- 4 1.87976- 2 1.30000+ 1 2.90000+ 1 5.87935- 5 1.88629- 2 1.30000+ 1 3.00000+ 1 9.58577- 5 1.89278- 2 1.30000+ 1 3.20000+ 1 6.08165- 5 1.90247- 2 1.30000+ 1 3.30000+ 1 5.43804- 4 1.90343- 2 1.40000+ 1 1.40000+ 1 4.63264- 3 1.55682- 2 1.40000+ 1 1.60000+ 1 2.12322- 3 1.78114- 2 1.40000+ 1 1.80000+ 1 1.19316- 3 1.79746- 2 1.40000+ 1 1.90000+ 1 2.28762- 4 1.82391- 2 1.40000+ 1 2.10000+ 1 2.82129- 3 1.85025- 2 1.40000+ 1 2.20000+ 1 1.69064- 3 1.85509- 2 1.40000+ 1 2.40000+ 1 7.42224- 4 1.88990- 2 1.40000+ 1 2.50000+ 1 5.46311- 4 1.89120- 2 1.40000+ 1 2.70000+ 1 4.90043- 4 1.89985- 2 1.40000+ 1 2.90000+ 1 2.84189- 4 1.90638- 2 1.40000+ 1 3.00000+ 1 5.62651- 5 1.91287- 2 1.40000+ 1 3.20000+ 1 5.18342- 4 1.92256- 2 1.40000+ 1 3.30000+ 1 3.14849- 4 1.92352- 2 1.60000+ 1 1.60000+ 1 2.73925- 4 2.00546- 2 1.60000+ 1 1.80000+ 1 5.57102- 4 2.02178- 2 1.60000+ 1 1.90000+ 1 7.37159- 4 2.04823- 2 1.60000+ 1 2.10000+ 1 4.40194- 4 2.07457- 2 1.60000+ 1 2.20000+ 1 5.26612- 4 2.07941- 2 1.60000+ 1 2.40000+ 1 3.43665- 5 2.11422- 2 1.60000+ 1 2.50000+ 1 3.31865- 5 2.11552- 2 1.60000+ 1 2.70000+ 1 1.36788- 4 2.12417- 2 1.60000+ 1 2.90000+ 1 1.36458- 4 2.13070- 2 1.60000+ 1 3.00000+ 1 1.78068- 4 2.13719- 2 1.60000+ 1 3.20000+ 1 8.86107- 5 2.14688- 2 1.60000+ 1 3.30000+ 1 1.04618- 4 2.14784- 2 1.80000+ 1 1.90000+ 1 1.21289- 5 2.06455- 2 1.80000+ 1 2.10000+ 1 4.36318- 5 2.09089- 2 1.80000+ 1 2.20000+ 1 2.00129- 4 2.09573- 2 1.80000+ 1 2.40000+ 1 1.44869- 5 2.13054- 2 1.80000+ 1 2.50000+ 1 5.60987- 5 2.13184- 2 1.80000+ 1 2.70000+ 1 1.32239- 4 2.14049- 2 1.80000+ 1 3.00000+ 1 2.69537- 6 2.15351- 2 1.80000+ 1 3.20000+ 1 8.42324- 6 2.16320- 2 1.80000+ 1 3.30000+ 1 3.67248- 5 2.16416- 2 1.90000+ 1 1.90000+ 1 3.03238- 5 2.09100- 2 1.90000+ 1 2.10000+ 1 4.54848- 5 2.11734- 2 1.90000+ 1 2.20000+ 1 2.07210- 5 2.12218- 2 1.90000+ 1 2.40000+ 1 2.54379- 5 2.15699- 2 1.90000+ 1 2.50000+ 1 2.13949- 5 2.15829- 2 1.90000+ 1 2.70000+ 1 1.73520- 4 2.16694- 2 1.90000+ 1 2.90000+ 1 3.03238- 6 2.17347- 2 1.90000+ 1 3.00000+ 1 1.38140- 5 2.17996- 2 1.90000+ 1 3.20000+ 1 7.74937- 6 2.18965- 2 1.90000+ 1 3.30000+ 1 3.20078- 6 2.19061- 2 2.10000+ 1 2.10000+ 1 3.38616- 5 2.14369- 2 2.10000+ 1 2.20000+ 1 5.34534- 4 2.14853- 2 2.10000+ 1 2.40000+ 1 4.21155- 5 2.18334- 2 2.10000+ 1 2.50000+ 1 8.55779- 5 2.18464- 2 2.10000+ 1 2.70000+ 1 1.01079- 4 2.19328- 2 2.10000+ 1 2.90000+ 1 1.09499- 5 2.19981- 2 2.10000+ 1 3.00000+ 1 1.12869- 5 2.20630- 2 2.10000+ 1 3.20000+ 1 1.33078- 5 2.21599- 2 2.10000+ 1 3.30000+ 1 9.98948- 5 2.21696- 2 2.20000+ 1 2.20000+ 1 1.65427- 4 2.15337- 2 2.20000+ 1 2.40000+ 1 1.00908- 4 2.18817- 2 2.20000+ 1 2.50000+ 1 8.20435- 5 2.18947- 2 2.20000+ 1 2.70000+ 1 1.21468- 4 2.19812- 2 2.20000+ 1 2.90000+ 1 4.80122- 5 2.20465- 2 2.20000+ 1 3.00000+ 1 5.22231- 6 2.21114- 2 2.20000+ 1 3.20000+ 1 1.00068- 4 2.22083- 2 2.20000+ 1 3.30000+ 1 6.24980- 5 2.22180- 2 2.40000+ 1 2.40000+ 1 1.17918- 6 2.22298- 2 2.40000+ 1 2.50000+ 1 2.25737- 5 2.22428- 2 2.40000+ 1 2.70000+ 1 7.58090- 6 2.23293- 2 2.40000+ 1 2.90000+ 1 3.03235- 6 2.23946- 2 2.40000+ 1 3.00000+ 1 5.89613- 6 2.24595- 2 2.40000+ 1 3.20000+ 1 7.91770- 6 2.25564- 2 2.40000+ 1 3.30000+ 1 1.76878- 5 2.25661- 2 2.50000+ 1 2.50000+ 1 4.71697- 6 2.22558- 2 2.50000+ 1 2.70000+ 1 7.24416- 6 2.23423- 2 2.50000+ 1 2.90000+ 1 1.22979- 5 2.24076- 2 2.50000+ 1 3.00000+ 1 5.05387- 6 2.24725- 2 2.50000+ 1 3.20000+ 1 1.48249- 5 2.25694- 2 2.50000+ 1 3.30000+ 1 1.46559- 5 2.25791- 2 2.70000+ 1 2.70000+ 1 1.75222- 5 2.24287- 2 2.70000+ 1 2.90000+ 1 3.33091- 5 2.24940- 2 2.70000+ 1 3.00000+ 1 4.31984- 5 2.25589- 2 2.70000+ 1 3.20000+ 1 2.09917- 5 2.26559- 2 2.70000+ 1 3.30000+ 1 2.48081- 5 2.26655- 2 2.90000+ 1 3.00000+ 1 7.07597- 7 2.26242- 2 2.90000+ 1 3.20000+ 1 2.12288- 6 2.27212- 2 2.90000+ 1 3.30000+ 1 9.19948- 6 2.27308- 2 3.00000+ 1 3.00000+ 1 1.91856- 6 2.26892- 2 3.00000+ 1 3.20000+ 1 2.34486- 6 2.27861- 2 3.00000+ 1 3.30000+ 1 1.06586- 6 2.27957- 2 3.20000+ 1 3.20000+ 1 1.34771- 6 2.28830- 2 3.20000+ 1 3.30000+ 1 1.87002- 5 2.28926- 2 3.30000+ 1 3.30000+ 1 6.09968- 6 2.29023- 2 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 4.66629- 5 4.30000- 3 8.00000+ 0 1.06300- 2 1.64689- 2 1.10000+ 1 5.68969- 4 1.78211- 2 1.30000+ 1 3.73999- 1 1.83932- 2 1.60000+ 1 2.90809- 3 2.08373- 2 1.90000+ 1 1.74660- 4 2.12650- 2 2.10000+ 1 8.63128- 2 2.15284- 2 2.40000+ 1 5.69659- 4 2.19249- 2 2.70000+ 1 7.62558- 4 2.20244- 2 3.00000+ 1 4.37619- 5 2.21546- 2 3.20000+ 1 1.72490- 2 2.22515- 2 3.50000+ 1 2.55199- 5 2.23636- 2 4.10000+ 1 1.53600- 4 2.23179- 2 4.40000+ 1 7.09158- 6 2.23476- 2 5.80000+ 1 1.56720- 5 2.23656- 2 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.30000+ 1 1.05239- 1 3.22200- 4 6.00000+ 0 1.40000+ 1 3.37777- 2 5.23100- 4 6.00000+ 0 1.60000+ 1 2.90044- 3 2.76630- 3 6.00000+ 0 1.80000+ 1 2.47838- 2 2.92950- 3 6.00000+ 0 1.90000+ 1 5.56476- 3 3.19400- 3 6.00000+ 0 2.10000+ 1 2.08545- 2 3.45745- 3 6.00000+ 0 2.20000+ 1 7.03221- 3 3.50583- 3 6.00000+ 0 2.40000+ 1 1.07065- 3 3.85392- 3 6.00000+ 0 2.50000+ 1 1.52099- 3 3.86691- 3 6.00000+ 0 2.70000+ 1 6.93954- 4 3.95336- 3 6.00000+ 0 2.90000+ 1 5.50152- 3 4.01867- 3 6.00000+ 0 3.00000+ 1 1.30116- 3 4.08358- 3 6.00000+ 0 3.20000+ 1 4.00364- 3 4.18050- 3 6.00000+ 0 3.30000+ 1 1.35478- 3 4.19015- 3 8.00000+ 0 8.00000+ 0 3.33742- 4 1.05668- 2 8.00000+ 0 1.00000+ 1 1.45123- 2 1.09204- 2 8.00000+ 0 1.10000+ 1 1.25103- 3 1.19190- 2 8.00000+ 0 1.30000+ 1 2.82843- 3 1.24911- 2 8.00000+ 0 1.40000+ 1 9.12814- 4 1.26920- 2 8.00000+ 0 1.60000+ 1 1.35244- 4 1.49352- 2 8.00000+ 0 1.80000+ 1 2.50264- 3 1.50984- 2 8.00000+ 0 1.90000+ 1 2.93781- 4 1.53629- 2 8.00000+ 0 2.10000+ 1 5.02062- 4 1.56263- 2 8.00000+ 0 2.20000+ 1 1.37633- 4 1.56747- 2 8.00000+ 0 2.40000+ 1 5.76984- 5 1.60228- 2 8.00000+ 0 2.50000+ 1 4.31394- 5 1.60358- 2 8.00000+ 0 2.70000+ 1 3.30818- 5 1.61223- 2 8.00000+ 0 2.90000+ 1 5.58198- 4 1.61876- 2 8.00000+ 0 3.00000+ 1 6.90749- 5 1.62525- 2 8.00000+ 0 3.20000+ 1 9.42187- 5 1.63494- 2 8.00000+ 0 3.30000+ 1 2.48778- 5 1.63590- 2 1.00000+ 1 1.00000+ 1 1.56335- 2 1.12740- 2 1.00000+ 1 1.10000+ 1 3.41035- 2 1.22726- 2 1.00000+ 1 1.30000+ 1 1.71052- 2 1.28447- 2 1.00000+ 1 1.40000+ 1 2.11451- 2 1.30456- 2 1.00000+ 1 1.60000+ 1 3.97113- 3 1.52888- 2 1.00000+ 1 1.80000+ 1 6.85196- 3 1.54520- 2 1.00000+ 1 1.90000+ 1 8.71498- 3 1.57165- 2 1.00000+ 1 2.10000+ 1 4.22757- 3 1.59799- 2 1.00000+ 1 2.20000+ 1 5.25890- 3 1.60283- 2 1.00000+ 1 2.40000+ 1 3.38499- 4 1.63764- 2 1.00000+ 1 2.50000+ 1 2.67316- 4 1.63894- 2 1.00000+ 1 2.70000+ 1 1.03909- 3 1.64759- 2 1.00000+ 1 2.90000+ 1 1.62426- 3 1.65412- 2 1.00000+ 1 3.00000+ 1 2.09401- 3 1.66061- 2 1.00000+ 1 3.20000+ 1 8.49058- 4 1.67030- 2 1.00000+ 1 3.30000+ 1 1.04570- 3 1.67126- 2 1.10000+ 1 1.10000+ 1 6.71726- 4 1.32712- 2 1.10000+ 1 1.30000+ 1 1.25106- 2 1.38433- 2 1.10000+ 1 1.40000+ 1 1.95852- 3 1.40442- 2 1.10000+ 1 1.60000+ 1 2.83986- 4 1.62874- 2 1.10000+ 1 1.80000+ 1 5.89207- 3 1.64506- 2 1.10000+ 1 1.90000+ 1 2.97488- 4 1.67151- 2 1.10000+ 1 2.10000+ 1 2.65200- 3 1.69785- 2 1.10000+ 1 2.20000+ 1 4.04672- 4 1.70269- 2 1.10000+ 1 2.40000+ 1 1.03220- 4 1.73750- 2 1.10000+ 1 2.50000+ 1 5.08164- 5 1.73880- 2 1.10000+ 1 2.70000+ 1 7.09309- 5 1.74745- 2 1.10000+ 1 2.90000+ 1 1.31352- 3 1.75398- 2 1.10000+ 1 3.00000+ 1 6.90765- 5 1.76047- 2 1.10000+ 1 3.20000+ 1 5.14798- 4 1.77016- 2 1.10000+ 1 3.30000+ 1 7.75460- 5 1.77112- 2 1.30000+ 1 1.30000+ 1 1.18565- 2 1.44154- 2 1.30000+ 1 1.40000+ 1 4.51590- 2 1.46163- 2 1.30000+ 1 1.60000+ 1 7.75744- 4 1.68595- 2 1.30000+ 1 1.80000+ 1 2.83182- 3 1.70227- 2 1.30000+ 1 1.90000+ 1 2.92614- 3 1.72872- 2 1.30000+ 1 2.10000+ 1 4.86559- 3 1.75506- 2 1.30000+ 1 2.20000+ 1 1.00216- 2 1.75990- 2 1.30000+ 1 2.40000+ 1 1.04461- 3 1.79471- 2 1.30000+ 1 2.50000+ 1 2.06522- 3 1.79601- 2 1.30000+ 1 2.70000+ 1 2.03783- 4 1.80466- 2 1.30000+ 1 2.90000+ 1 6.31486- 4 1.81119- 2 1.30000+ 1 3.00000+ 1 6.88932- 4 1.81768- 2 1.30000+ 1 3.20000+ 1 9.44061- 4 1.82737- 2 1.30000+ 1 3.30000+ 1 1.94632- 3 1.82833- 2 1.40000+ 1 1.40000+ 1 2.20889- 3 1.48172- 2 1.40000+ 1 1.60000+ 1 2.01142- 4 1.70604- 2 1.40000+ 1 1.80000+ 1 3.05477- 3 1.72236- 2 1.40000+ 1 1.90000+ 1 4.23722- 4 1.74881- 2 1.40000+ 1 2.10000+ 1 7.60808- 3 1.77515- 2 1.40000+ 1 2.20000+ 1 8.95895- 4 1.77999- 2 1.40000+ 1 2.40000+ 1 4.15786- 4 1.81480- 2 1.40000+ 1 2.50000+ 1 1.57469- 4 1.81610- 2 1.40000+ 1 2.70000+ 1 5.02861- 5 1.82475- 2 1.40000+ 1 2.90000+ 1 6.52413- 4 1.83128- 2 1.40000+ 1 3.00000+ 1 9.79238- 5 1.83777- 2 1.40000+ 1 3.20000+ 1 1.40907- 3 1.84746- 2 1.40000+ 1 3.30000+ 1 1.71505- 4 1.84842- 2 1.60000+ 1 1.60000+ 1 1.32329- 5 1.93036- 2 1.60000+ 1 1.80000+ 1 6.87858- 4 1.94668- 2 1.60000+ 1 1.90000+ 1 6.69578- 5 1.97313- 2 1.60000+ 1 2.10000+ 1 1.34971- 4 1.99947- 2 1.60000+ 1 2.20000+ 1 2.99062- 5 2.00431- 2 1.60000+ 1 2.40000+ 1 1.34971- 5 2.03912- 2 1.60000+ 1 2.50000+ 1 8.20466- 6 2.04042- 2 1.60000+ 1 2.70000+ 1 6.35181- 6 2.04907- 2 1.60000+ 1 2.90000+ 1 1.53504- 4 2.05560- 2 1.60000+ 1 3.00000+ 1 1.58788- 5 2.06209- 2 1.60000+ 1 3.20000+ 1 2.51426- 5 2.07178- 2 1.60000+ 1 3.30000+ 1 5.29313- 6 2.07274- 2 1.80000+ 1 1.80000+ 1 7.13544- 4 1.96300- 2 1.80000+ 1 1.90000+ 1 1.51066- 3 1.98945- 2 1.80000+ 1 2.10000+ 1 6.90241- 4 2.01579- 2 1.80000+ 1 2.20000+ 1 7.68300- 4 2.02063- 2 1.80000+ 1 2.40000+ 1 4.63167- 5 2.05544- 2 1.80000+ 1 2.50000+ 1 2.77887- 5 2.05674- 2 1.80000+ 1 2.70000+ 1 1.80237- 4 2.06539- 2 1.80000+ 1 2.90000+ 1 3.34527- 4 2.07192- 2 1.80000+ 1 3.00000+ 1 3.63114- 4 2.07841- 2 1.80000+ 1 3.20000+ 1 1.38419- 4 2.08810- 2 1.80000+ 1 3.30000+ 1 1.53242- 4 2.08906- 2 1.90000+ 1 1.90000+ 1 3.30833- 5 2.01590- 2 1.90000+ 1 2.10000+ 1 6.24375- 4 2.04224- 2 1.90000+ 1 2.20000+ 1 8.84031- 5 2.04708- 2 1.90000+ 1 2.40000+ 1 2.19684- 5 2.08189- 2 1.90000+ 1 2.50000+ 1 9.79277- 6 2.08319- 2 1.90000+ 1 2.70000+ 1 1.66743- 5 2.09184- 2 1.90000+ 1 2.90000+ 1 3.36924- 4 2.09837- 2 1.90000+ 1 3.00000+ 1 1.53512- 5 2.10486- 2 1.90000+ 1 3.20000+ 1 1.21485- 4 2.11455- 2 1.90000+ 1 3.30000+ 1 1.69394- 5 2.11551- 2 2.10000+ 1 2.10000+ 1 4.97300- 4 2.06859- 2 2.10000+ 1 2.20000+ 1 1.76079- 3 2.07343- 2 2.10000+ 1 2.40000+ 1 1.48211- 4 2.10824- 2 2.10000+ 1 2.50000+ 1 2.93508- 4 2.10954- 2 2.10000+ 1 2.70000+ 1 3.51993- 5 2.11818- 2 2.10000+ 1 2.90000+ 1 1.52980- 4 2.12471- 2 2.10000+ 1 3.00000+ 1 1.47152- 4 2.13120- 2 2.10000+ 1 3.20000+ 1 1.92670- 4 2.14089- 2 2.10000+ 1 3.30000+ 1 3.44582- 4 2.14186- 2 2.20000+ 1 2.20000+ 1 9.18383- 5 2.07827- 2 2.20000+ 1 2.40000+ 1 6.43140- 5 2.11307- 2 2.20000+ 1 2.50000+ 1 2.48777- 5 2.11437- 2 2.20000+ 1 2.70000+ 1 7.41043- 6 2.12302- 2 2.20000+ 1 2.90000+ 1 1.64617- 4 2.12955- 2 2.20000+ 1 3.00000+ 1 2.06434- 5 2.13604- 2 2.20000+ 1 3.20000+ 1 3.28718- 4 2.14573- 2 2.20000+ 1 3.30000+ 1 3.51992- 5 2.14670- 2 2.40000+ 1 2.40000+ 1 3.70526- 6 2.14788- 2 2.40000+ 1 2.50000+ 1 2.59363- 5 2.14918- 2 2.40000+ 1 2.70000+ 1 3.44066- 6 2.15783- 2 2.40000+ 1 2.90000+ 1 1.00576- 5 2.16436- 2 2.40000+ 1 3.00000+ 1 5.02856- 6 2.17085- 2 2.40000+ 1 3.20000+ 1 2.64667- 5 2.18054- 2 2.40000+ 1 3.30000+ 1 1.16457- 5 2.18151- 2 2.50000+ 1 2.50000+ 1 1.58789- 6 2.15048- 2 2.50000+ 1 2.70000+ 1 1.85259- 6 2.15913- 2 2.50000+ 1 2.90000+ 1 5.55758- 6 2.16566- 2 2.50000+ 1 3.00000+ 1 2.11728- 6 2.17215- 2 2.50000+ 1 3.20000+ 1 5.24052- 5 2.18184- 2 2.50000+ 1 3.30000+ 1 4.49927- 6 2.18281- 2 2.70000+ 1 2.70000+ 1 7.93980- 7 2.16777- 2 2.70000+ 1 2.90000+ 1 4.02280- 5 2.17430- 2 2.70000+ 1 3.00000+ 1 3.96986- 6 2.18079- 2 2.70000+ 1 3.20000+ 1 6.61673- 6 2.19049- 2 2.70000+ 1 3.30000+ 1 1.32329- 6 2.19145- 2 2.90000+ 1 2.90000+ 1 3.91709- 5 2.18083- 2 2.90000+ 1 3.00000+ 1 8.09894- 5 2.18732- 2 2.90000+ 1 3.20000+ 1 3.07013- 5 2.19702- 2 2.90000+ 1 3.30000+ 1 3.28179- 5 2.19798- 2 3.00000+ 1 3.00000+ 1 1.85259- 6 2.19382- 2 3.00000+ 1 3.20000+ 1 2.85834- 5 2.20351- 2 3.00000+ 1 3.30000+ 1 3.96988- 6 2.20447- 2 3.20000+ 1 3.20000+ 1 1.87949- 5 2.21320- 2 3.20000+ 1 3.30000+ 1 6.52479- 5 2.21416- 2 3.30000+ 1 3.30000+ 1 3.55819- 6 2.21513- 2 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 2.28140- 2 1.21689- 2 1.00000+ 1 2.94300- 4 1.25225- 2 1.10000+ 1 2.68710- 4 1.35211- 2 1.30000+ 1 3.62600- 2 1.40932- 2 1.40000+ 1 3.18420- 1 1.42941- 2 1.60000+ 1 5.83040- 3 1.65373- 2 1.80000+ 1 6.49180- 5 1.67005- 2 1.90000+ 1 7.37580- 5 1.69650- 2 2.10000+ 1 7.37820- 3 1.72284- 2 2.20000+ 1 6.77430- 2 1.72768- 2 2.40000+ 1 1.02340- 4 1.76249- 2 2.50000+ 1 5.63120- 4 1.76379- 2 2.70000+ 1 1.50950- 3 1.77244- 2 2.90000+ 1 1.53560- 5 1.77897- 2 3.00000+ 1 1.80270- 5 1.78546- 2 3.20000+ 1 1.43670- 3 1.79515- 2 3.30000+ 1 1.31910- 2 1.79611- 2 3.50000+ 1 4.54420- 6 1.80636- 2 3.60000+ 1 2.43900- 5 1.80647- 2 4.10000+ 1 3.12550- 4 1.80179- 2 4.30000+ 1 2.73110- 6 1.80371- 2 4.40000+ 1 2.96040- 6 1.80476- 2 5.80000+ 1 3.03940- 5 1.80656- 2 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 3.71838- 4 6.26680- 3 8.00000+ 0 1.00000+ 1 1.58999- 4 6.62040- 3 8.00000+ 0 1.10000+ 1 1.76204- 2 7.61900- 3 8.00000+ 0 1.30000+ 1 2.90309- 3 8.19110- 3 8.00000+ 0 1.40000+ 1 6.01340- 3 8.39200- 3 8.00000+ 0 1.60000+ 1 1.54880- 4 1.06352- 2 8.00000+ 0 1.80000+ 1 2.59723- 5 1.07984- 2 8.00000+ 0 1.90000+ 1 2.95571- 3 1.10629- 2 8.00000+ 0 2.10000+ 1 3.59807- 4 1.13263- 2 8.00000+ 0 2.20000+ 1 7.10727- 4 1.13747- 2 8.00000+ 0 2.40000+ 1 3.52535- 4 1.17228- 2 8.00000+ 0 2.50000+ 1 5.91339- 4 1.17358- 2 8.00000+ 0 2.70000+ 1 3.76913- 5 1.18223- 2 8.00000+ 0 2.90000+ 1 5.70133- 6 1.18876- 2 8.00000+ 0 3.00000+ 1 6.46164- 4 1.19525- 2 8.00000+ 0 3.20000+ 1 6.27157- 5 1.20494- 2 8.00000+ 0 3.30000+ 1 1.20047- 4 1.20590- 2 1.00000+ 1 1.00000+ 1 1.26690- 6 6.97400- 3 1.00000+ 1 1.10000+ 1 2.95181- 2 7.97260- 3 1.00000+ 1 1.30000+ 1 1.25773- 3 8.54470- 3 1.00000+ 1 1.40000+ 1 8.88775- 3 8.74560- 3 1.00000+ 1 1.60000+ 1 3.42085- 5 1.09888- 2 1.00000+ 1 1.80000+ 1 7.91854- 6 1.11520- 2 1.00000+ 1 1.90000+ 1 5.14252- 3 1.14165- 2 1.00000+ 1 2.10000+ 1 2.47055- 4 1.16799- 2 1.00000+ 1 2.20000+ 1 1.46438- 3 1.17283- 2 1.00000+ 1 2.40000+ 1 2.91397- 4 1.20764- 2 1.00000+ 1 2.50000+ 1 6.86388- 4 1.20894- 2 1.00000+ 1 2.70000+ 1 8.55213- 6 1.21759- 2 1.00000+ 1 2.90000+ 1 2.53391- 6 1.22412- 2 1.00000+ 1 3.00000+ 1 1.13328- 3 1.23061- 2 1.00000+ 1 3.20000+ 1 4.90948- 5 1.24030- 2 1.00000+ 1 3.30000+ 1 2.70813- 4 1.24126- 2 1.10000+ 1 1.10000+ 1 3.46070- 2 8.97120- 3 1.10000+ 1 1.30000+ 1 3.62831- 2 9.54330- 3 1.10000+ 1 1.40000+ 1 4.53389- 2 9.74420- 3 1.10000+ 1 1.60000+ 1 4.73116- 3 1.19874- 2 1.10000+ 1 1.80000+ 1 7.11217- 3 1.21506- 2 1.10000+ 1 1.90000+ 1 1.46656- 2 1.24151- 2 1.10000+ 1 2.10000+ 1 8.36943- 3 1.26785- 2 1.10000+ 1 2.20000+ 1 1.04185- 2 1.27269- 2 1.10000+ 1 2.40000+ 1 9.00510- 4 1.30750- 2 1.10000+ 1 2.50000+ 1 1.06550- 3 1.30880- 2 1.10000+ 1 2.70000+ 1 1.23213- 3 1.31745- 2 1.10000+ 1 2.90000+ 1 1.71675- 3 1.32398- 2 1.10000+ 1 3.00000+ 1 3.39900- 3 1.33047- 2 1.10000+ 1 3.20000+ 1 1.66039- 3 1.34016- 2 1.10000+ 1 3.30000+ 1 2.03987- 3 1.34112- 2 1.30000+ 1 1.30000+ 1 4.69609- 3 1.01154- 2 1.30000+ 1 1.40000+ 1 8.72982- 2 1.03163- 2 1.30000+ 1 1.60000+ 1 6.98724- 4 1.25595- 2 1.30000+ 1 1.80000+ 1 3.41119- 4 1.27227- 2 1.30000+ 1 1.90000+ 1 5.68232- 3 1.29872- 2 1.30000+ 1 2.10000+ 1 1.80665- 3 1.32506- 2 1.30000+ 1 2.20000+ 1 1.40985- 2 1.32990- 2 1.30000+ 1 2.40000+ 1 4.79837- 4 1.36471- 2 1.30000+ 1 2.50000+ 1 1.59539- 3 1.36601- 2 1.30000+ 1 2.70000+ 1 1.79581- 4 1.37466- 2 1.30000+ 1 2.90000+ 1 8.36180- 5 1.38119- 2 1.30000+ 1 3.00000+ 1 1.22233- 3 1.38768- 2 1.30000+ 1 3.20000+ 1 3.47454- 4 1.39737- 2 1.30000+ 1 3.30000+ 1 2.57019- 3 1.39833- 2 1.40000+ 1 1.40000+ 1 5.75217- 2 1.05172- 2 1.40000+ 1 1.60000+ 1 1.46015- 3 1.27604- 2 1.40000+ 1 1.80000+ 1 1.92387- 3 1.29236- 2 1.40000+ 1 1.90000+ 1 7.93105- 3 1.31881- 2 1.40000+ 1 2.10000+ 1 1.69191- 2 1.34515- 2 1.40000+ 1 2.20000+ 1 2.13464- 2 1.34999- 2 1.40000+ 1 2.40000+ 1 4.99934- 3 1.38480- 2 1.40000+ 1 2.50000+ 1 4.48714- 3 1.38610- 2 1.40000+ 1 2.70000+ 1 3.77549- 4 1.39475- 2 1.40000+ 1 2.90000+ 1 4.54518- 4 1.40128- 2 1.40000+ 1 3.00000+ 1 1.76394- 3 1.40777- 2 1.40000+ 1 3.20000+ 1 3.24397- 3 1.41746- 2 1.40000+ 1 3.30000+ 1 4.02135- 3 1.41842- 2 1.60000+ 1 1.60000+ 1 1.71037- 5 1.50036- 2 1.60000+ 1 1.80000+ 1 6.65102- 6 1.51668- 2 1.60000+ 1 1.90000+ 1 7.92132- 4 1.54313- 2 1.60000+ 1 2.10000+ 1 9.28013- 5 1.56947- 2 1.60000+ 1 2.20000+ 1 1.81798- 4 1.57431- 2 1.60000+ 1 2.40000+ 1 4.27573- 5 1.60912- 2 1.60000+ 1 2.50000+ 1 8.10835- 5 1.61042- 2 1.60000+ 1 2.70000+ 1 8.55185- 6 1.61907- 2 1.60000+ 1 2.90000+ 1 1.58356- 6 1.62560- 2 1.60000+ 1 3.00000+ 1 1.72929- 4 1.63209- 2 1.60000+ 1 3.20000+ 1 1.64702- 5 1.64178- 2 1.60000+ 1 3.30000+ 1 3.10385- 5 1.64274- 2 1.80000+ 1 1.90000+ 1 1.22828- 3 1.55945- 2 1.80000+ 1 2.10000+ 1 6.11305- 5 1.58579- 2 1.80000+ 1 2.20000+ 1 3.50937- 4 1.59063- 2 1.80000+ 1 2.40000+ 1 4.37100- 5 1.62544- 2 1.80000+ 1 2.50000+ 1 9.62874- 5 1.62674- 2 1.80000+ 1 2.70000+ 1 1.58363- 6 1.63539- 2 1.80000+ 1 3.00000+ 1 2.70184- 4 1.64841- 2 1.80000+ 1 3.20000+ 1 1.17192- 5 1.65810- 2 1.80000+ 1 3.30000+ 1 6.55659- 5 1.65906- 2 1.90000+ 1 1.90000+ 1 1.48201- 3 1.58590- 2 1.90000+ 1 2.10000+ 1 1.31608- 3 1.61224- 2 1.90000+ 1 2.20000+ 1 1.79871- 3 1.61708- 2 1.90000+ 1 2.40000+ 1 1.16245- 4 1.65189- 2 1.90000+ 1 2.50000+ 1 1.44427- 4 1.65319- 2 1.90000+ 1 2.70000+ 1 2.06191- 4 1.66184- 2 1.90000+ 1 2.90000+ 1 2.95830- 4 1.66837- 2 1.90000+ 1 3.00000+ 1 6.79420- 4 1.67486- 2 1.90000+ 1 3.20000+ 1 2.61313- 4 1.68455- 2 1.90000+ 1 3.30000+ 1 3.51268- 4 1.68551- 2 2.10000+ 1 2.10000+ 1 1.66294- 4 1.63859- 2 2.10000+ 1 2.20000+ 1 2.87406- 3 1.64343- 2 2.10000+ 1 2.40000+ 1 6.04966- 5 1.67824- 2 2.10000+ 1 2.50000+ 1 1.88455- 4 1.67954- 2 2.10000+ 1 2.70000+ 1 2.40719- 5 1.68818- 2 2.10000+ 1 2.90000+ 1 1.48863- 5 1.69471- 2 2.10000+ 1 3.00000+ 1 2.83485- 4 1.70120- 2 2.10000+ 1 3.20000+ 1 6.33444- 5 1.71089- 2 2.10000+ 1 3.30000+ 1 5.28303- 4 1.71186- 2 2.20000+ 1 2.20000+ 1 1.99450- 3 1.64827- 2 2.20000+ 1 2.40000+ 1 6.25851- 4 1.68307- 2 2.20000+ 1 2.50000+ 1 5.50501- 4 1.68437- 2 2.20000+ 1 2.70000+ 1 4.75100- 5 1.69302- 2 2.20000+ 1 2.90000+ 1 8.42537- 5 1.69955- 2 2.20000+ 1 3.00000+ 1 3.98763- 4 1.70604- 2 2.20000+ 1 3.20000+ 1 5.55891- 4 1.71573- 2 2.20000+ 1 3.30000+ 1 7.51626- 4 1.71670- 2 2.40000+ 1 2.40000+ 1 2.85065- 6 1.71788- 2 2.40000+ 1 2.50000+ 1 9.02679- 5 1.71918- 2 2.40000+ 1 2.70000+ 1 9.50174- 6 1.72783- 2 2.40000+ 1 2.90000+ 1 9.50174- 6 1.73436- 2 2.40000+ 1 3.00000+ 1 2.40713- 5 1.74085- 2 2.40000+ 1 3.20000+ 1 1.04517- 5 1.75054- 2 2.40000+ 1 3.30000+ 1 1.08005- 4 1.75151- 2 2.50000+ 1 2.50000+ 1 3.19900- 5 1.72048- 2 2.50000+ 1 2.70000+ 1 1.83703- 5 1.72913- 2 2.50000+ 1 2.90000+ 1 2.09046- 5 1.73566- 2 2.50000+ 1 3.00000+ 1 3.04065- 5 1.74215- 2 2.50000+ 1 3.20000+ 1 3.26236- 5 1.75184- 2 2.50000+ 1 3.30000+ 1 9.47049- 5 1.75281- 2 2.70000+ 1 2.70000+ 1 9.50188- 7 1.73777- 2 2.70000+ 1 2.90000+ 1 3.16739- 7 1.74430- 2 2.70000+ 1 3.00000+ 1 4.49765- 5 1.75079- 2 2.70000+ 1 3.20000+ 1 4.43429- 6 1.76049- 2 2.70000+ 1 3.30000+ 1 8.23527- 6 1.76145- 2 2.90000+ 1 3.00000+ 1 6.49313- 5 1.75732- 2 2.90000+ 1 3.20000+ 1 2.85069- 6 1.76702- 2 2.90000+ 1 3.30000+ 1 1.58360- 5 1.76798- 2 3.00000+ 1 3.00000+ 1 7.75991- 5 1.76382- 2 3.00000+ 1 3.20000+ 1 5.63815- 5 1.77351- 2 3.00000+ 1 3.30000+ 1 7.79194- 5 1.77447- 2 3.20000+ 1 3.20000+ 1 6.01819- 6 1.78320- 2 3.20000+ 1 3.30000+ 1 1.02312- 4 1.78416- 2 3.30000+ 1 3.30000+ 1 7.06340- 5 1.78513- 2 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.05590- 5 3.53600- 4 1.10000+ 1 1.36711- 3 1.35220- 3 1.80000+ 1 2.87821- 3 4.53160- 3 1.90000+ 1 1.39521- 3 4.79610- 3 2.90000+ 1 7.81193- 4 5.62077- 3 3.00000+ 1 4.42292- 4 5.68568- 3 4.30000+ 1 1.44711- 4 5.86818- 3 4.40000+ 1 7.74713- 5 5.87868- 3 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.70000+ 1 1.44674- 2 6.96000- 6 1.00000+ 1 2.90000+ 1 1.59260- 2 7.22700- 5 1.00000+ 1 3.00000+ 1 1.85367- 2 1.37180- 4 1.00000+ 1 3.20000+ 1 1.07096- 2 2.34100- 4 1.00000+ 1 3.30000+ 1 1.37919- 2 2.43750- 4 1.00000+ 1 3.50000+ 1 5.57530- 4 3.46200- 4 1.00000+ 1 3.60000+ 1 6.86847- 4 3.47350- 4 1.00000+ 1 4.10000+ 1 2.85249- 3 3.00480- 4 1.00000+ 1 4.30000+ 1 2.48641- 3 3.19680- 4 1.00000+ 1 4.40000+ 1 2.59742- 3 3.30180- 4 1.00000+ 1 5.80000+ 1 2.48082- 4 3.48180- 4 1.10000+ 1 1.80000+ 1 5.56539- 2 0.00000+ 0 1.10000+ 1 1.90000+ 1 3.69049- 2 2.46200- 4 1.10000+ 1 2.10000+ 1 9.17765- 3 5.09650- 4 1.10000+ 1 2.20000+ 1 2.48956- 2 5.58030- 4 1.10000+ 1 2.40000+ 1 1.97092- 1 9.06120- 4 1.10000+ 1 2.50000+ 1 2.37016- 1 9.19110- 4 1.10000+ 1 2.70000+ 1 1.12540- 2 1.00556- 3 1.10000+ 1 2.90000+ 1 1.16166- 2 1.07087- 3 1.10000+ 1 3.00000+ 1 8.71917- 3 1.13578- 3 1.10000+ 1 3.20000+ 1 2.16085- 3 1.23270- 3 1.10000+ 1 3.30000+ 1 5.33531- 3 1.24235- 3 1.10000+ 1 3.50000+ 1 5.12789- 3 1.34480- 3 1.10000+ 1 3.60000+ 1 5.81167- 3 1.34595- 3 1.10000+ 1 4.10000+ 1 2.16784- 3 1.29908- 3 1.10000+ 1 4.30000+ 1 1.86192- 3 1.31828- 3 1.10000+ 1 4.40000+ 1 1.25638- 3 1.32878- 3 1.10000+ 1 5.80000+ 1 1.90168- 4 1.34678- 3 1.30000+ 1 1.60000+ 1 2.63518- 2 3.90600- 4 1.30000+ 1 1.80000+ 1 5.48586- 3 5.53800- 4 1.30000+ 1 1.90000+ 1 9.88260- 3 8.18300- 4 1.30000+ 1 2.10000+ 1 8.85301- 3 1.08175- 3 1.30000+ 1 2.20000+ 1 1.03959- 2 1.13013- 3 1.30000+ 1 2.40000+ 1 1.00133- 2 1.47822- 3 1.30000+ 1 2.50000+ 1 9.55189- 3 1.49121- 3 1.30000+ 1 2.70000+ 1 4.21610- 3 1.57766- 3 1.30000+ 1 2.90000+ 1 1.05008- 3 1.64297- 3 1.30000+ 1 3.00000+ 1 1.74486- 3 1.70788- 3 1.30000+ 1 3.20000+ 1 1.42765- 3 1.80480- 3 1.30000+ 1 3.30000+ 1 1.82199- 3 1.81445- 3 1.30000+ 1 3.50000+ 1 2.79503- 4 1.91690- 3 1.30000+ 1 3.60000+ 1 2.37781- 4 1.91805- 3 1.30000+ 1 4.10000+ 1 7.45824- 4 1.87118- 3 1.30000+ 1 4.30000+ 1 1.65554- 4 1.89038- 3 1.30000+ 1 4.40000+ 1 2.40328- 4 1.90088- 3 1.30000+ 1 5.80000+ 1 6.44623- 5 1.91888- 3 1.40000+ 1 1.60000+ 1 3.57568- 2 5.91500- 4 1.40000+ 1 1.80000+ 1 8.31086- 4 7.54700- 4 1.40000+ 1 1.90000+ 1 1.22307- 2 1.01920- 3 1.40000+ 1 2.10000+ 1 1.19799- 2 1.28265- 3 1.40000+ 1 2.20000+ 1 1.61829- 2 1.33103- 3 1.40000+ 1 2.40000+ 1 1.20898- 2 1.67912- 3 1.40000+ 1 2.50000+ 1 1.78314- 2 1.69211- 3 1.40000+ 1 2.70000+ 1 5.61388- 3 1.77856- 3 1.40000+ 1 2.90000+ 1 2.34691- 4 1.84387- 3 1.40000+ 1 3.00000+ 1 2.12412- 3 1.90878- 3 1.40000+ 1 3.20000+ 1 2.15080- 3 2.00570- 3 1.40000+ 1 3.30000+ 1 2.73366- 3 2.01535- 3 1.40000+ 1 3.50000+ 1 3.14927- 4 2.11780- 3 1.40000+ 1 3.60000+ 1 4.58414- 4 2.11895- 3 1.40000+ 1 4.10000+ 1 9.89200- 4 2.07208- 3 1.40000+ 1 4.30000+ 1 4.05193- 5 2.09128- 3 1.40000+ 1 4.40000+ 1 2.92328- 4 2.10178- 3 1.40000+ 1 5.80000+ 1 8.54535- 5 2.11978- 3 1.60000+ 1 1.60000+ 1 2.12339- 3 2.83470- 3 1.60000+ 1 1.80000+ 1 3.79130- 3 2.99790- 3 1.60000+ 1 1.90000+ 1 5.80469- 3 3.26240- 3 1.60000+ 1 2.10000+ 1 7.05357- 3 3.52585- 3 1.60000+ 1 2.20000+ 1 9.71978- 3 3.57423- 3 1.60000+ 1 2.40000+ 1 5.37867- 3 3.92232- 3 1.60000+ 1 2.50000+ 1 6.62745- 3 3.93531- 3 1.60000+ 1 2.70000+ 1 8.92110- 4 4.02176- 3 1.60000+ 1 2.90000+ 1 9.25979- 4 4.08707- 3 1.60000+ 1 3.00000+ 1 1.39475- 3 4.15198- 3 1.60000+ 1 3.20000+ 1 1.37947- 3 4.24890- 3 1.60000+ 1 3.30000+ 1 1.88171- 3 4.25855- 3 1.60000+ 1 3.50000+ 1 1.96044- 4 4.36100- 3 1.60000+ 1 3.60000+ 1 2.29614- 4 4.36215- 3 1.60000+ 1 4.10000+ 1 1.70107- 4 4.31528- 3 1.60000+ 1 4.30000+ 1 1.52594- 4 4.33448- 3 1.60000+ 1 4.40000+ 1 2.03138- 4 4.34498- 3 1.60000+ 1 5.80000+ 1 1.48437- 5 4.36298- 3 1.80000+ 1 1.80000+ 1 1.39216- 4 3.16110- 3 1.80000+ 1 1.90000+ 1 4.70467- 4 3.42560- 3 1.80000+ 1 2.10000+ 1 2.20792- 4 3.68905- 3 1.80000+ 1 2.20000+ 1 9.50846- 5 3.73743- 3 1.80000+ 1 2.40000+ 1 1.87222- 5 4.08552- 3 1.80000+ 1 2.50000+ 1 5.05526- 4 4.09851- 3 1.80000+ 1 2.70000+ 1 5.93497- 4 4.18496- 3 1.80000+ 1 2.90000+ 1 4.80098- 5 4.25027- 3 1.80000+ 1 3.00000+ 1 7.68950- 5 4.31518- 3 1.80000+ 1 3.20000+ 1 3.63753- 5 4.41210- 3 1.80000+ 1 3.30000+ 1 2.38035- 5 4.42175- 3 1.80000+ 1 3.50000+ 1 2.67459- 7 4.52420- 3 1.80000+ 1 3.60000+ 1 1.11001- 5 4.52535- 3 1.80000+ 1 4.10000+ 1 1.04976- 4 4.47848- 3 1.80000+ 1 4.30000+ 1 7.35529- 6 4.49768- 3 1.80000+ 1 4.40000+ 1 1.04307- 5 4.50818- 3 1.80000+ 1 5.80000+ 1 9.09363- 6 4.52618- 3 1.90000+ 1 1.90000+ 1 4.13635- 4 3.69010- 3 1.90000+ 1 2.10000+ 1 6.60495- 4 3.95355- 3 1.90000+ 1 2.20000+ 1 1.44593- 3 4.00193- 3 1.90000+ 1 2.40000+ 1 9.73459- 4 4.35002- 3 1.90000+ 1 2.50000+ 1 1.37939- 3 4.36301- 3 1.90000+ 1 2.70000+ 1 9.13801- 4 4.44946- 3 1.90000+ 1 2.90000+ 1 9.86927- 5 4.51477- 3 1.90000+ 1 3.00000+ 1 1.68501- 4 4.57968- 3 1.90000+ 1 3.20000+ 1 1.24909- 4 4.67660- 3 1.90000+ 1 3.30000+ 1 2.64925- 4 4.68625- 3 1.90000+ 1 3.50000+ 1 3.33006- 5 4.78870- 3 1.90000+ 1 3.60000+ 1 4.07889- 5 4.78985- 3 1.90000+ 1 4.10000+ 1 1.62086- 4 4.74298- 3 1.90000+ 1 4.30000+ 1 1.57800- 5 4.76218- 3 1.90000+ 1 4.40000+ 1 2.38039- 5 4.77268- 3 1.90000+ 1 5.80000+ 1 1.40417- 5 4.79068- 3 2.10000+ 1 2.10000+ 1 9.58870- 5 4.21700- 3 2.10000+ 1 2.20000+ 1 2.15169- 4 4.26538- 3 2.10000+ 1 2.40000+ 1 4.33566- 4 4.61347- 3 2.10000+ 1 2.50000+ 1 2.46321- 3 4.62646- 3 2.10000+ 1 2.70000+ 1 1.07795- 3 4.71291- 3 2.10000+ 1 2.90000+ 1 3.28978- 5 4.77822- 3 2.10000+ 1 3.00000+ 1 1.19165- 4 4.84313- 3 2.10000+ 1 3.20000+ 1 2.92871- 5 4.94005- 3 2.10000+ 1 3.30000+ 1 3.51718- 5 4.94970- 3 2.10000+ 1 3.50000+ 1 1.41754- 5 5.05215- 3 2.10000+ 1 3.60000+ 1 6.21859- 5 5.05330- 3 2.10000+ 1 4.10000+ 1 1.89372- 4 5.00643- 3 2.10000+ 1 4.30000+ 1 4.94821- 6 5.02563- 3 2.10000+ 1 4.40000+ 1 1.63155- 5 5.03613- 3 2.10000+ 1 5.80000+ 1 1.63155- 5 5.05413- 3 2.20000+ 1 2.20000+ 1 2.05807- 4 4.31376- 3 2.20000+ 1 2.40000+ 1 2.14290- 3 4.66185- 3 2.20000+ 1 2.50000+ 1 1.42135- 3 4.67484- 3 2.20000+ 1 2.70000+ 1 1.47660- 3 4.76129- 3 2.20000+ 1 2.90000+ 1 1.63155- 5 4.82660- 3 2.20000+ 1 3.00000+ 1 2.56633- 4 4.89151- 3 2.20000+ 1 3.20000+ 1 3.06259- 5 4.98843- 3 2.20000+ 1 3.30000+ 1 6.51304- 5 4.99808- 3 2.20000+ 1 3.50000+ 1 5.53650- 5 5.10053- 3 2.20000+ 1 3.60000+ 1 3.89166- 5 5.10168- 3 2.20000+ 1 4.10000+ 1 2.59041- 4 5.05481- 3 2.20000+ 1 4.30000+ 1 2.54095- 6 5.07401- 3 2.20000+ 1 4.40000+ 1 3.51719- 5 5.08451- 3 2.20000+ 1 5.80000+ 1 2.23332- 5 5.10251- 3 2.40000+ 1 2.40000+ 1 6.06334- 4 5.00994- 3 2.40000+ 1 2.50000+ 1 3.94890- 3 5.02293- 3 2.40000+ 1 2.70000+ 1 7.48668- 4 5.10938- 3 2.40000+ 1 2.90000+ 1 4.68066- 6 5.17469- 3 2.40000+ 1 3.00000+ 1 1.22362- 4 5.23960- 3 2.40000+ 1 3.20000+ 1 7.54263- 5 5.33652- 3 2.40000+ 1 3.30000+ 1 4.27283- 4 5.34617- 3 2.40000+ 1 3.50000+ 1 3.99866- 5 5.44862- 3 2.40000+ 1 3.60000+ 1 1.04718- 4 5.44977- 3 2.40000+ 1 4.10000+ 1 1.29316- 4 5.40290- 3 2.40000+ 1 4.30000+ 1 8.02380- 7 5.42210- 3 2.40000+ 1 4.40000+ 1 1.56471- 5 5.43260- 3 2.40000+ 1 5.80000+ 1 1.11002- 5 5.45060- 3 2.50000+ 1 2.50000+ 1 1.36470- 3 5.03592- 3 2.50000+ 1 2.70000+ 1 9.20102- 4 5.12237- 3 2.50000+ 1 2.90000+ 1 1.05788- 4 5.18768- 3 2.50000+ 1 3.00000+ 1 1.85896- 4 5.25259- 3 2.50000+ 1 3.20000+ 1 4.75961- 4 5.34951- 3 2.50000+ 1 3.30000+ 1 2.65057- 4 5.35916- 3 2.50000+ 1 3.50000+ 1 1.08056- 4 5.46161- 3 2.50000+ 1 3.60000+ 1 7.94372- 5 5.46276- 3 2.50000+ 1 4.10000+ 1 1.59020- 4 5.41589- 3 2.50000+ 1 4.30000+ 1 1.68502- 5 5.43509- 3 2.50000+ 1 4.40000+ 1 2.42057- 5 5.44559- 3 2.50000+ 1 5.80000+ 1 1.36410- 5 5.46359- 3 2.70000+ 1 2.70000+ 1 8.58579- 5 5.20882- 3 2.70000+ 1 2.90000+ 1 1.46435- 4 5.27413- 3 2.70000+ 1 3.00000+ 1 2.19333- 4 5.33904- 3 2.70000+ 1 3.20000+ 1 2.12378- 4 5.43596- 3 2.70000+ 1 3.30000+ 1 2.87945- 4 5.44561- 3 2.70000+ 1 3.50000+ 1 2.74166- 5 5.54806- 3 2.70000+ 1 3.60000+ 1 3.19638- 5 5.54921- 3 2.70000+ 1 4.10000+ 1 3.20966- 5 5.50234- 3 2.70000+ 1 4.30000+ 1 2.42064- 5 5.52154- 3 2.70000+ 1 4.40000+ 1 3.19638- 5 5.53204- 3 2.70000+ 1 5.80000+ 1 2.80840- 6 5.55004- 3 2.90000+ 1 2.90000+ 1 4.01194- 6 5.33944- 3 2.90000+ 1 3.00000+ 1 1.56470- 5 5.40435- 3 2.90000+ 1 3.20000+ 1 5.34923- 6 5.50127- 3 2.90000+ 1 3.30000+ 1 4.41318- 6 5.51092- 3 2.90000+ 1 3.60000+ 1 2.40726- 6 5.61452- 3 2.90000+ 1 4.10000+ 1 2.59449- 5 5.56765- 3 2.90000+ 1 4.30000+ 1 1.20364- 6 5.58685- 3 2.90000+ 1 4.40000+ 1 2.13969- 6 5.59735- 3 2.90000+ 1 5.80000+ 1 2.27347- 6 5.61535- 3 3.00000+ 1 3.00000+ 1 1.63157- 5 5.46926- 3 3.00000+ 1 3.20000+ 1 2.27351- 5 5.56618- 3 3.00000+ 1 3.30000+ 1 4.73426- 5 5.57583- 3 3.00000+ 1 3.50000+ 1 4.14579- 6 5.67828- 3 3.00000+ 1 3.60000+ 1 5.48292- 6 5.67943- 3 3.00000+ 1 4.10000+ 1 3.89171- 5 5.63256- 3 3.00000+ 1 4.30000+ 1 2.54098- 6 5.65176- 3 3.00000+ 1 4.40000+ 1 4.54704- 6 5.66226- 3 3.00000+ 1 5.80000+ 1 3.34339- 6 5.68026- 3 3.20000+ 1 3.20000+ 1 2.00601- 6 5.66310- 3 3.20000+ 1 3.30000+ 1 5.08175- 6 5.67275- 3 3.20000+ 1 3.50000+ 1 2.40725- 6 5.77520- 3 3.20000+ 1 3.60000+ 1 1.25708- 5 5.77635- 3 3.20000+ 1 4.10000+ 1 3.73117- 5 5.72948- 3 3.20000+ 1 4.30000+ 1 8.02373- 7 5.74868- 3 3.20000+ 1 4.40000+ 1 3.07585- 6 5.75918- 3 3.20000+ 1 5.80000+ 1 3.20953- 6 5.77718- 3 3.30000+ 1 3.30000+ 1 4.94822- 6 5.68240- 3 3.30000+ 1 3.50000+ 1 1.15008- 5 5.78485- 3 3.30000+ 1 3.60000+ 1 7.35539- 6 5.78600- 3 3.30000+ 1 4.10000+ 1 5.05533- 5 5.73913- 3 3.30000+ 1 4.30000+ 1 6.68649- 7 5.75833- 3 3.30000+ 1 4.40000+ 1 6.55280- 6 5.76883- 3 3.30000+ 1 5.80000+ 1 4.41320- 6 5.78683- 3 3.50000+ 1 3.50000+ 1 5.47169- 7 5.88730- 3 3.50000+ 1 3.60000+ 1 3.00953- 6 5.88845- 3 3.50000+ 1 4.10000+ 1 4.78779- 6 5.84158- 3 3.50000+ 1 4.40000+ 1 5.47169- 7 5.87128- 3 3.50000+ 1 5.80000+ 1 4.10378- 7 5.88928- 3 3.60000+ 1 3.60000+ 1 9.62537- 7 5.88960- 3 3.60000+ 1 4.10000+ 1 5.63763- 6 5.84273- 3 3.60000+ 1 4.30000+ 1 4.12521- 7 5.86193- 3 3.60000+ 1 4.40000+ 1 6.87524- 7 5.87243- 3 3.60000+ 1 5.80000+ 1 5.50026- 7 5.89043- 3 4.10000+ 1 4.10000+ 1 3.44313- 6 5.79586- 3 4.10000+ 1 4.30000+ 1 5.00803- 6 5.81506- 3 4.10000+ 1 4.40000+ 1 6.57291- 6 5.82556- 3 4.10000+ 1 5.80000+ 1 6.26002- 7 5.84356- 3 4.30000+ 1 4.30000+ 1 1.39793- 7 5.83426- 3 4.30000+ 1 4.40000+ 1 4.19376- 7 5.84476- 3 4.30000+ 1 5.80000+ 1 4.19376- 7 5.86276- 3 4.40000+ 1 4.40000+ 1 2.81981- 7 5.85526- 3 4.40000+ 1 5.80000+ 1 5.63962- 7 5.87326- 3 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.12859- 3 1.57070- 3 1.60000+ 1 1.08480- 3 4.01480- 3 2.10000+ 1 5.22338- 3 4.70595- 3 2.70000+ 1 2.87949- 4 5.20186- 3 3.20000+ 1 1.29309- 3 5.42900- 3 4.10000+ 1 5.93617- 5 5.49538- 3 5.80000+ 1 5.78427- 6 5.54308- 3 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 9.81685- 3 1.56050- 4 1.10000+ 1 2.20000+ 1 1.89420- 2 2.04430- 4 1.10000+ 1 2.40000+ 1 2.83496- 2 5.52520- 4 1.10000+ 1 2.50000+ 1 2.29100- 2 5.65510- 4 1.10000+ 1 2.70000+ 1 3.12370- 3 6.51960- 4 1.10000+ 1 2.90000+ 1 4.61425- 3 7.17270- 4 1.10000+ 1 3.00000+ 1 1.79250- 3 7.82180- 4 1.10000+ 1 3.20000+ 1 1.98037- 3 8.79100- 4 1.10000+ 1 3.30000+ 1 3.41153- 3 8.88750- 4 1.10000+ 1 3.50000+ 1 8.34286- 4 9.91200- 4 1.10000+ 1 3.60000+ 1 6.56181- 4 9.92350- 4 1.10000+ 1 4.10000+ 1 5.75324- 4 9.45480- 4 1.10000+ 1 4.30000+ 1 6.79144- 4 9.64680- 4 1.10000+ 1 4.40000+ 1 2.47804- 4 9.75180- 4 1.10000+ 1 5.80000+ 1 5.00219- 5 9.93180- 4 1.30000+ 1 1.60000+ 1 4.73810- 2 3.70000- 5 1.30000+ 1 1.80000+ 1 4.98112- 2 2.00200- 4 1.30000+ 1 1.90000+ 1 3.14541- 2 4.64700- 4 1.30000+ 1 2.10000+ 1 1.65116- 2 7.28150- 4 1.30000+ 1 2.20000+ 1 2.72586- 2 7.76530- 4 1.30000+ 1 2.40000+ 1 1.51122- 1 1.12462- 3 1.30000+ 1 2.50000+ 1 2.37976- 1 1.13761- 3 1.30000+ 1 2.70000+ 1 1.20079- 2 1.22406- 3 1.30000+ 1 2.90000+ 1 9.94802- 3 1.28937- 3 1.30000+ 1 3.00000+ 1 7.27542- 3 1.35428- 3 1.30000+ 1 3.20000+ 1 3.45556- 3 1.45120- 3 1.30000+ 1 3.30000+ 1 5.57402- 3 1.46085- 3 1.30000+ 1 3.50000+ 1 4.01265- 3 1.56330- 3 1.30000+ 1 3.60000+ 1 6.31766- 3 1.56445- 3 1.30000+ 1 4.10000+ 1 2.33109- 3 1.51758- 3 1.30000+ 1 4.30000+ 1 1.57755- 3 1.53678- 3 1.30000+ 1 4.40000+ 1 1.04699- 3 1.54728- 3 1.30000+ 1 5.80000+ 1 2.05001- 4 1.56528- 3 1.40000+ 1 1.60000+ 1 7.19291- 3 2.37900- 4 1.40000+ 1 1.80000+ 1 5.63772- 2 4.01100- 4 1.40000+ 1 1.90000+ 1 4.47183- 3 6.65600- 4 1.40000+ 1 2.10000+ 1 2.03118- 3 9.29050- 4 1.40000+ 1 2.20000+ 1 2.74972- 3 9.77430- 4 1.40000+ 1 2.40000+ 1 8.29764- 3 1.32552- 3 1.40000+ 1 2.50000+ 1 4.87762- 3 1.33851- 3 1.40000+ 1 2.70000+ 1 1.20827- 3 1.42496- 3 1.40000+ 1 2.90000+ 1 8.51886- 3 1.49027- 3 1.40000+ 1 3.00000+ 1 8.74978- 4 1.55518- 3 1.40000+ 1 3.20000+ 1 1.65811- 4 1.65210- 3 1.40000+ 1 3.30000+ 1 4.82016- 4 1.66175- 3 1.40000+ 1 3.50000+ 1 3.18330- 4 1.76420- 3 1.40000+ 1 3.60000+ 1 1.46136- 4 1.76535- 3 1.40000+ 1 4.10000+ 1 2.16825- 4 1.71848- 3 1.40000+ 1 4.30000+ 1 1.27007- 3 1.73768- 3 1.40000+ 1 4.40000+ 1 1.22509- 4 1.74818- 3 1.40000+ 1 5.80000+ 1 1.86963- 5 1.76618- 3 1.60000+ 1 1.60000+ 1 4.71506- 4 2.48110- 3 1.60000+ 1 1.80000+ 1 7.51116- 3 2.64430- 3 1.60000+ 1 1.90000+ 1 8.93246- 4 2.90880- 3 1.60000+ 1 2.10000+ 1 3.14529- 4 3.17225- 3 1.60000+ 1 2.20000+ 1 8.44881- 4 3.22063- 3 1.60000+ 1 2.40000+ 1 7.04312- 5 3.56872- 3 1.60000+ 1 2.50000+ 1 6.14928- 4 3.58171- 3 1.60000+ 1 2.70000+ 1 1.83867- 4 3.66816- 3 1.60000+ 1 2.90000+ 1 1.12202- 3 3.73347- 3 1.60000+ 1 3.00000+ 1 1.92343- 4 3.79838- 3 1.60000+ 1 3.20000+ 1 4.04472- 5 3.89530- 3 1.60000+ 1 3.30000+ 1 1.45675- 4 3.90495- 3 1.60000+ 1 3.50000+ 1 1.97998- 6 4.00740- 3 1.60000+ 1 3.60000+ 1 1.44251- 5 4.00855- 3 1.60000+ 1 4.10000+ 1 3.42264- 5 3.96168- 3 1.60000+ 1 4.30000+ 1 1.67730- 4 3.98088- 3 1.60000+ 1 4.40000+ 1 2.74353- 5 3.99138- 3 1.60000+ 1 5.80000+ 1 3.11136- 6 4.00938- 3 1.80000+ 1 1.80000+ 1 5.90857- 3 2.80750- 3 1.80000+ 1 1.90000+ 1 1.55079- 2 3.07200- 3 1.80000+ 1 2.10000+ 1 1.58641- 2 3.33545- 3 1.80000+ 1 2.20000+ 1 2.46169- 2 3.38383- 3 1.80000+ 1 2.40000+ 1 1.00056- 2 3.73192- 3 1.80000+ 1 2.50000+ 1 1.61654- 2 3.74491- 3 1.80000+ 1 2.70000+ 1 1.93645- 3 3.83136- 3 1.80000+ 1 2.90000+ 1 2.36546- 3 3.89667- 3 1.80000+ 1 3.00000+ 1 3.69046- 3 3.96158- 3 1.80000+ 1 3.20000+ 1 3.11916- 3 4.05850- 3 1.80000+ 1 3.30000+ 1 4.71818- 3 4.06815- 3 1.80000+ 1 3.50000+ 1 3.66035- 4 4.17060- 3 1.80000+ 1 3.60000+ 1 5.56111- 4 4.17175- 3 1.80000+ 1 4.10000+ 1 3.81298- 4 4.12488- 3 1.80000+ 1 4.30000+ 1 3.78191- 4 4.14408- 3 1.80000+ 1 4.40000+ 1 5.36308- 4 4.15458- 3 1.80000+ 1 5.80000+ 1 3.33775- 5 4.17258- 3 1.90000+ 1 1.90000+ 1 3.77892- 4 3.33650- 3 1.90000+ 1 2.10000+ 1 8.60447- 4 3.59995- 3 1.90000+ 1 2.20000+ 1 8.24538- 4 3.64833- 3 1.90000+ 1 2.40000+ 1 6.31761- 3 3.99642- 3 1.90000+ 1 2.50000+ 1 1.76416- 3 4.00941- 3 1.90000+ 1 2.70000+ 1 1.44824- 4 4.09586- 3 1.90000+ 1 2.90000+ 1 2.36187- 3 4.16117- 3 1.90000+ 1 3.00000+ 1 1.51612- 4 4.22608- 3 1.90000+ 1 3.20000+ 1 1.30116- 4 4.32300- 3 1.90000+ 1 3.30000+ 1 1.43131- 4 4.33265- 3 1.90000+ 1 3.50000+ 1 1.91200- 4 4.43510- 3 1.90000+ 1 3.60000+ 1 5.28947- 5 4.43625- 3 1.90000+ 1 4.10000+ 1 2.57408- 5 4.38938- 3 1.90000+ 1 4.30000+ 1 3.54426- 4 4.40858- 3 1.90000+ 1 4.40000+ 1 2.12149- 5 4.41908- 3 1.90000+ 1 5.80000+ 1 2.26279- 6 4.43708- 3 2.10000+ 1 2.10000+ 1 6.11253- 4 3.86340- 3 2.10000+ 1 2.20000+ 1 1.07057- 3 3.91178- 3 2.10000+ 1 2.40000+ 1 6.47159- 4 4.25987- 3 2.10000+ 1 2.50000+ 1 8.25645- 4 4.27286- 3 2.10000+ 1 2.70000+ 1 7.86327- 5 4.35931- 3 2.10000+ 1 2.90000+ 1 2.33556- 3 4.42462- 3 2.10000+ 1 3.00000+ 1 1.92059- 4 4.48953- 3 2.10000+ 1 3.20000+ 1 1.93475- 4 4.58645- 3 2.10000+ 1 3.30000+ 1 1.87535- 4 4.59610- 3 2.10000+ 1 3.50000+ 1 1.21630- 5 4.69855- 3 2.10000+ 1 3.60000+ 1 2.00836- 5 4.69970- 3 2.10000+ 1 4.10000+ 1 1.52743- 5 4.65283- 3 2.10000+ 1 4.30000+ 1 3.47906- 4 4.67203- 3 2.10000+ 1 4.40000+ 1 2.74355- 5 4.68253- 3 2.10000+ 1 5.80000+ 1 1.41424- 6 4.70053- 3 2.20000+ 1 2.20000+ 1 2.97853- 4 3.96016- 3 2.20000+ 1 2.40000+ 1 1.28931- 3 4.30825- 3 2.20000+ 1 2.50000+ 1 3.43111- 4 4.32124- 3 2.20000+ 1 2.70000+ 1 1.69995- 4 4.40769- 3 2.20000+ 1 2.90000+ 1 3.66307- 3 4.47300- 3 2.20000+ 1 3.00000+ 1 1.49063- 4 4.53791- 3 2.20000+ 1 3.20000+ 1 1.54158- 4 4.63483- 3 2.20000+ 1 3.30000+ 1 9.61710- 5 4.64448- 3 2.20000+ 1 3.50000+ 1 2.00836- 5 4.74693- 3 2.20000+ 1 3.60000+ 1 7.35417- 6 4.74808- 3 2.20000+ 1 4.10000+ 1 3.16795- 5 4.70121- 3 2.20000+ 1 4.30000+ 1 5.46751- 4 4.72041- 3 2.20000+ 1 4.40000+ 1 2.06491- 5 4.73091- 3 2.20000+ 1 5.80000+ 1 2.82846- 6 4.74891- 3 2.40000+ 1 2.40000+ 1 2.61944- 3 4.65634- 3 2.40000+ 1 2.50000+ 1 1.66600- 2 4.66933- 3 2.40000+ 1 2.70000+ 1 1.21630- 5 4.75578- 3 2.40000+ 1 2.90000+ 1 1.35570- 3 4.82109- 3 2.40000+ 1 3.00000+ 1 1.41109- 3 4.88600- 3 2.40000+ 1 3.20000+ 1 1.34073- 4 4.98292- 3 2.40000+ 1 3.30000+ 1 3.08015- 4 4.99257- 3 2.40000+ 1 3.50000+ 1 1.58112- 4 5.09502- 3 2.40000+ 1 3.60000+ 1 4.70951- 4 5.09617- 3 2.40000+ 1 4.10000+ 1 2.26275- 6 5.04930- 3 2.40000+ 1 4.30000+ 1 2.00262- 4 5.06850- 3 2.40000+ 1 4.40000+ 1 2.02523- 4 5.07900- 3 2.40000+ 1 5.80000+ 1 2.82844- 7 5.09700- 3 2.50000+ 1 2.50000+ 1 8.66962- 4 4.68232- 3 2.50000+ 1 2.70000+ 1 1.28130- 4 4.76877- 3 2.50000+ 1 2.90000+ 1 2.12213- 3 4.83408- 3 2.50000+ 1 3.00000+ 1 3.47353- 4 4.89899- 3 2.50000+ 1 3.20000+ 1 1.68579- 4 4.99591- 3 2.50000+ 1 3.30000+ 1 7.01506- 5 5.00556- 3 2.50000+ 1 3.50000+ 1 4.84818- 4 5.10801- 3 2.50000+ 1 3.60000+ 1 4.95013- 5 5.10916- 3 2.50000+ 1 4.10000+ 1 2.40426- 5 5.06229- 3 2.50000+ 1 4.30000+ 1 3.08880- 4 5.08149- 3 2.50000+ 1 4.40000+ 1 4.86522- 5 5.09199- 3 2.50000+ 1 5.80000+ 1 1.98002- 6 5.10999- 3 2.70000+ 1 2.70000+ 1 1.78197- 5 4.85522- 3 2.70000+ 1 2.90000+ 1 2.91064- 4 4.92053- 3 2.70000+ 1 3.00000+ 1 3.11137- 5 4.98544- 3 2.70000+ 1 3.20000+ 1 9.61700- 6 5.08236- 3 2.70000+ 1 3.30000+ 1 2.99825- 5 5.09201- 3 2.70000+ 1 3.50000+ 1 2.82843- 7 5.19446- 3 2.70000+ 1 3.60000+ 1 3.11137- 6 5.19561- 3 2.70000+ 1 4.10000+ 1 6.50564- 6 5.14874- 3 2.70000+ 1 4.30000+ 1 4.35600- 5 5.16794- 3 2.70000+ 1 4.40000+ 1 4.52567- 6 5.17844- 3 2.70000+ 1 5.80000+ 1 5.65703- 7 5.19644- 3 2.90000+ 1 2.90000+ 1 2.20619- 4 4.98584- 3 2.90000+ 1 3.00000+ 1 5.66006- 4 5.05075- 3 2.90000+ 1 3.20000+ 1 4.62173- 4 5.14767- 3 2.90000+ 1 3.30000+ 1 7.06863- 4 5.15732- 3 2.90000+ 1 3.50000+ 1 4.95005- 5 5.25977- 3 2.90000+ 1 3.60000+ 1 7.38247- 5 5.26092- 3 2.90000+ 1 4.10000+ 1 5.74195- 5 5.21405- 3 2.90000+ 1 4.30000+ 1 6.95823- 5 5.23325- 3 2.90000+ 1 4.40000+ 1 8.23092- 5 5.24375- 3 2.90000+ 1 5.80000+ 1 5.09135- 6 5.26175- 3 3.00000+ 1 3.00000+ 1 1.49913- 5 5.11566- 3 3.00000+ 1 3.20000+ 1 2.91348- 5 5.21258- 3 3.00000+ 1 3.30000+ 1 2.60220- 5 5.22223- 3 3.00000+ 1 3.50000+ 1 4.29925- 5 5.32468- 3 3.00000+ 1 3.60000+ 1 1.04655- 5 5.32583- 3 3.00000+ 1 4.10000+ 1 5.65699- 6 5.27896- 3 3.00000+ 1 4.30000+ 1 8.51376- 5 5.29816- 3 3.00000+ 1 4.40000+ 1 4.24270- 6 5.30866- 3 3.00000+ 1 5.80000+ 1 5.65699- 7 5.32666- 3 3.20000+ 1 3.20000+ 1 1.47258- 5 5.30950- 3 3.20000+ 1 3.30000+ 1 2.91686- 5 5.31915- 3 3.20000+ 1 3.50000+ 1 2.83169- 6 5.42160- 3 3.20000+ 1 3.60000+ 1 4.81397- 6 5.42275- 3 3.20000+ 1 4.10000+ 1 1.98227- 6 5.37588- 3 3.20000+ 1 4.30000+ 1 6.90963- 5 5.39508- 3 3.20000+ 1 4.40000+ 1 4.24762- 6 5.40558- 3 3.20000+ 1 5.80000+ 1 2.83169- 7 5.42358- 3 3.30000+ 1 3.30000+ 1 8.37137- 6 5.32880- 3 3.30000+ 1 3.50000+ 1 5.77335- 6 5.43125- 3 3.30000+ 1 3.60000+ 1 1.44331- 6 5.43240- 3 3.30000+ 1 4.10000+ 1 5.77335- 6 5.38553- 3 3.30000+ 1 4.30000+ 1 1.07678- 4 5.40473- 3 3.30000+ 1 4.40000+ 1 3.75265- 6 5.41523- 3 3.30000+ 1 5.80000+ 1 5.77335- 7 5.43323- 3 3.50000+ 1 3.50000+ 1 1.61880- 6 5.53370- 3 3.50000+ 1 3.60000+ 1 1.34902- 5 5.53485- 3 3.50000+ 1 4.30000+ 1 7.01498- 6 5.50718- 3 3.50000+ 1 4.40000+ 1 5.93593- 6 5.51768- 3 3.60000+ 1 3.60000+ 1 5.65233- 7 5.53600- 3 3.60000+ 1 4.10000+ 1 5.65233- 7 5.48913- 3 3.60000+ 1 4.30000+ 1 1.07394- 5 5.50833- 3 3.60000+ 1 4.40000+ 1 1.41306- 6 5.51883- 3 4.10000+ 1 4.10000+ 1 6.00278- 7 5.44226- 3 4.10000+ 1 4.30000+ 1 9.00425- 6 5.46146- 3 4.10000+ 1 4.40000+ 1 9.00425- 7 5.47196- 3 4.30000+ 1 4.30000+ 1 5.94495- 6 5.48066- 3 4.30000+ 1 4.40000+ 1 1.37673- 5 5.49116- 3 4.30000+ 1 5.80000+ 1 9.38668- 7 5.50916- 3 4.40000+ 1 4.40000+ 1 2.82849- 7 5.50166- 3 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.36460- 5 5.72100- 4 1.40000+ 1 3.26920- 4 7.73000- 4 1.60000+ 1 2.33420- 3 3.01620- 3 2.10000+ 1 1.08070- 3 3.70735- 3 2.20000+ 1 8.05339- 3 3.75573- 3 2.70000+ 1 5.87740- 4 4.20326- 3 3.20000+ 1 2.35660- 4 4.43040- 3 3.30000+ 1 1.79470- 3 4.44005- 3 4.10000+ 1 1.15700- 4 4.49678- 3 5.80000+ 1 1.23290- 5 4.54448- 3 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 1.59513- 2 1.26020- 4 1.30000+ 1 2.50000+ 1 2.34229- 2 1.39010- 4 1.30000+ 1 2.70000+ 1 3.69813- 3 2.25460- 4 1.30000+ 1 2.90000+ 1 3.62008- 3 2.90770- 4 1.30000+ 1 3.00000+ 1 1.02942- 2 3.55680- 4 1.30000+ 1 3.20000+ 1 2.01875- 3 4.52600- 4 1.30000+ 1 3.30000+ 1 2.27170- 3 4.62250- 4 1.30000+ 1 3.50000+ 1 3.41820- 4 5.64700- 4 1.30000+ 1 3.60000+ 1 5.62749- 4 5.65850- 4 1.30000+ 1 4.10000+ 1 6.90807- 4 5.18980- 4 1.30000+ 1 4.30000+ 1 5.68074- 4 5.38180- 4 1.30000+ 1 4.40000+ 1 1.40252- 3 5.48680- 4 1.30000+ 1 5.80000+ 1 5.99365- 5 5.66680- 4 1.40000+ 1 2.20000+ 1 5.13909- 2 0.00000+ 0 1.40000+ 1 2.40000+ 1 2.15725- 1 3.26920- 4 1.40000+ 1 2.50000+ 1 2.60326- 1 3.39910- 4 1.40000+ 1 2.70000+ 1 2.25751- 2 4.26360- 4 1.40000+ 1 2.90000+ 1 2.41470- 2 4.91670- 4 1.40000+ 1 3.00000+ 1 2.45723- 2 5.56580- 4 1.40000+ 1 3.20000+ 1 8.22894- 3 6.53500- 4 1.40000+ 1 3.30000+ 1 1.21001- 2 6.63150- 4 1.40000+ 1 3.50000+ 1 4.62150- 3 7.65600- 4 1.40000+ 1 3.60000+ 1 5.11185- 3 7.66750- 4 1.40000+ 1 4.10000+ 1 4.32853- 3 7.19880- 4 1.40000+ 1 4.30000+ 1 3.82928- 3 7.39080- 4 1.40000+ 1 4.40000+ 1 3.44576- 3 7.49580- 4 1.40000+ 1 5.80000+ 1 3.76804- 4 7.67580- 4 1.60000+ 1 1.60000+ 1 7.77011- 5 1.48250- 3 1.60000+ 1 1.80000+ 1 3.57689- 4 1.64570- 3 1.60000+ 1 1.90000+ 1 9.60142- 3 1.91020- 3 1.60000+ 1 2.10000+ 1 6.25077- 4 2.17365- 3 1.60000+ 1 2.20000+ 1 8.36777- 4 2.22203- 3 1.60000+ 1 2.40000+ 1 2.52951- 3 2.57012- 3 1.60000+ 1 2.50000+ 1 4.60240- 3 2.58311- 3 1.60000+ 1 2.70000+ 1 3.52337- 5 2.66956- 3 1.60000+ 1 2.90000+ 1 4.65592- 5 2.73487- 3 1.60000+ 1 3.00000+ 1 1.42004- 3 2.79978- 3 1.60000+ 1 3.20000+ 1 1.02240- 4 2.89670- 3 1.60000+ 1 3.30000+ 1 1.33702- 4 2.90635- 3 1.60000+ 1 3.50000+ 1 6.51186- 5 3.00880- 3 1.60000+ 1 3.60000+ 1 1.12621- 4 3.00995- 3 1.60000+ 1 4.10000+ 1 6.60616- 6 2.96308- 3 1.60000+ 1 4.30000+ 1 6.92077- 6 2.98228- 3 1.60000+ 1 4.40000+ 1 1.88733- 4 2.99278- 3 1.60000+ 1 5.80000+ 1 6.29156- 7 3.01078- 3 1.80000+ 1 1.80000+ 1 6.29144- 7 1.80890- 3 1.80000+ 1 1.90000+ 1 1.22509- 2 2.07340- 3 1.80000+ 1 2.10000+ 1 2.90670- 4 2.33685- 3 1.80000+ 1 2.20000+ 1 2.87463- 3 2.38523- 3 1.80000+ 1 2.40000+ 1 1.57060- 3 2.73332- 3 1.80000+ 1 2.50000+ 1 7.65559- 3 2.74631- 3 1.80000+ 1 2.70000+ 1 7.70703- 5 2.83276- 3 1.80000+ 1 2.90000+ 1 2.83120- 6 2.89807- 3 1.80000+ 1 3.00000+ 1 1.86558- 3 2.96298- 3 1.80000+ 1 3.20000+ 1 5.69378- 5 3.05990- 3 1.80000+ 1 3.30000+ 1 4.44191- 4 3.06955- 3 1.80000+ 1 3.50000+ 1 3.68066- 5 3.17200- 3 1.80000+ 1 3.60000+ 1 1.82768- 4 3.17315- 3 1.80000+ 1 4.10000+ 1 1.44698- 5 3.12628- 3 1.80000+ 1 4.30000+ 1 6.29144- 7 3.14548- 3 1.80000+ 1 4.40000+ 1 2.49461- 4 3.15598- 3 1.80000+ 1 5.80000+ 1 1.25828- 6 3.17398- 3 1.90000+ 1 1.90000+ 1 1.52552- 2 2.33790- 3 1.90000+ 1 2.10000+ 1 2.28870- 2 2.60135- 3 1.90000+ 1 2.20000+ 1 2.95313- 2 2.64973- 3 1.90000+ 1 2.40000+ 1 2.19465- 2 2.99782- 3 1.90000+ 1 2.50000+ 1 2.49929- 2 3.01081- 3 1.90000+ 1 2.70000+ 1 2.44399- 3 3.09726- 3 1.90000+ 1 2.90000+ 1 2.90156- 3 3.16257- 3 1.90000+ 1 3.00000+ 1 5.90641- 3 3.22748- 3 1.90000+ 1 3.20000+ 1 4.31879- 3 3.32440- 3 1.90000+ 1 3.30000+ 1 5.57301- 3 3.33405- 3 1.90000+ 1 3.50000+ 1 7.47105- 4 3.43650- 3 1.90000+ 1 3.60000+ 1 8.09386- 4 3.43765- 3 1.90000+ 1 4.10000+ 1 4.79102- 4 3.39078- 3 1.90000+ 1 4.30000+ 1 4.74691- 4 3.40998- 3 1.90000+ 1 4.40000+ 1 8.30779- 4 3.42048- 3 1.90000+ 1 5.80000+ 1 4.21521- 5 3.43848- 3 2.10000+ 1 2.10000+ 1 1.62008- 4 2.86480- 3 2.10000+ 1 2.20000+ 1 3.87696- 3 2.91318- 3 2.10000+ 1 2.40000+ 1 6.40775- 4 3.26127- 3 2.10000+ 1 2.50000+ 1 7.20909- 3 3.27426- 3 2.10000+ 1 2.70000+ 1 7.92718- 5 3.36071- 3 2.10000+ 1 2.90000+ 1 1.44696- 5 3.42602- 3 2.10000+ 1 3.00000+ 1 3.39132- 3 3.49093- 3 2.10000+ 1 3.20000+ 1 5.00173- 5 3.58785- 3 2.10000+ 1 3.30000+ 1 6.34180- 4 3.59750- 3 2.10000+ 1 3.50000+ 1 1.76155- 5 3.69995- 3 2.10000+ 1 3.60000+ 1 1.43133- 4 3.70110- 3 2.10000+ 1 4.10000+ 1 1.35270- 5 3.65423- 3 2.10000+ 1 4.30000+ 1 1.88726- 6 3.67343- 3 2.10000+ 1 4.40000+ 1 4.50474- 4 3.68393- 3 2.10000+ 1 5.80000+ 1 1.25825- 6 3.70193- 3 2.20000+ 1 2.20000+ 1 1.64637- 3 2.96156- 3 2.20000+ 1 2.40000+ 1 5.67451- 3 3.30965- 3 2.20000+ 1 2.50000+ 1 4.62120- 3 3.32264- 3 2.20000+ 1 2.70000+ 1 1.16705- 4 3.40909- 3 2.20000+ 1 2.90000+ 1 2.87196- 4 3.47440- 3 2.20000+ 1 3.00000+ 1 4.31561- 3 3.53931- 3 2.20000+ 1 3.20000+ 1 6.22542- 4 3.63623- 3 2.20000+ 1 3.30000+ 1 5.43584- 4 3.64588- 3 2.20000+ 1 3.50000+ 1 1.49108- 4 3.74833- 3 2.20000+ 1 3.60000+ 1 1.12618- 4 3.74948- 3 2.20000+ 1 4.10000+ 1 2.04477- 5 3.70261- 3 2.20000+ 1 4.30000+ 1 3.96355- 5 3.72181- 3 2.20000+ 1 4.40000+ 1 5.71571- 4 3.73231- 3 2.20000+ 1 5.80000+ 1 1.88727- 6 3.75031- 3 2.40000+ 1 2.40000+ 1 9.96589- 4 3.65774- 3 2.40000+ 1 2.50000+ 1 2.56545- 2 3.67073- 3 2.40000+ 1 2.70000+ 1 2.78713- 4 3.75718- 3 2.40000+ 1 2.90000+ 1 2.97588- 4 3.82249- 3 2.40000+ 1 3.00000+ 1 3.08347- 3 3.88740- 3 2.40000+ 1 3.20000+ 1 1.40621- 4 3.98432- 3 2.40000+ 1 3.30000+ 1 1.00066- 3 3.99397- 3 2.40000+ 1 3.50000+ 1 5.91415- 5 4.09642- 3 2.40000+ 1 3.60000+ 1 6.63434- 4 4.09757- 3 2.40000+ 1 4.10000+ 1 4.71883- 5 4.05070- 3 2.40000+ 1 4.30000+ 1 4.65590- 5 4.06990- 3 2.40000+ 1 4.40000+ 1 4.06431- 4 4.08040- 3 2.40000+ 1 5.80000+ 1 4.08948- 6 4.09840- 3 2.50000+ 1 2.50000+ 1 1.02131- 2 3.68372- 3 2.50000+ 1 2.70000+ 1 4.88542- 4 3.77017- 3 2.50000+ 1 2.90000+ 1 1.42183- 3 3.83548- 3 2.50000+ 1 3.00000+ 1 3.67959- 3 3.90039- 3 2.50000+ 1 3.20000+ 1 1.34165- 3 3.99731- 3 2.50000+ 1 3.30000+ 1 8.91820- 4 4.00696- 3 2.50000+ 1 3.50000+ 1 6.77605- 4 4.10941- 3 2.50000+ 1 3.60000+ 1 5.36362- 4 4.11056- 3 2.50000+ 1 4.10000+ 1 8.08475- 5 4.06369- 3 2.50000+ 1 4.30000+ 1 2.22721- 4 4.08289- 3 2.50000+ 1 4.40000+ 1 4.92013- 4 4.09339- 3 2.50000+ 1 5.80000+ 1 6.92070- 6 4.11139- 3 2.70000+ 1 2.70000+ 1 4.40408- 6 3.85662- 3 2.70000+ 1 2.90000+ 1 1.10102- 5 3.92193- 3 2.70000+ 1 3.00000+ 1 3.63025- 4 3.98684- 3 2.70000+ 1 3.20000+ 1 1.41562- 5 4.08376- 3 2.70000+ 1 3.30000+ 1 1.98190- 5 4.09341- 3 2.70000+ 1 3.50000+ 1 6.92074- 6 4.19586- 3 2.70000+ 1 3.60000+ 1 1.19540- 5 4.19701- 3 2.70000+ 1 4.10000+ 1 1.57284- 6 4.15014- 3 2.70000+ 1 4.30000+ 1 1.57284- 6 4.16934- 3 2.70000+ 1 4.40000+ 1 4.84452- 5 4.17984- 3 2.90000+ 1 3.00000+ 1 4.44199- 4 4.05215- 3 2.90000+ 1 3.20000+ 1 2.51665- 6 4.14907- 3 2.90000+ 1 3.30000+ 1 4.71884- 5 4.15872- 3 2.90000+ 1 3.50000+ 1 8.17913- 6 4.26117- 3 2.90000+ 1 3.60000+ 1 3.80643- 5 4.26232- 3 2.90000+ 1 4.10000+ 1 2.20205- 6 4.21545- 3 2.90000+ 1 4.40000+ 1 5.94557- 5 4.24515- 3 2.90000+ 1 5.80000+ 1 3.14584- 7 4.26315- 3 3.00000+ 1 3.00000+ 1 5.39181- 4 4.11706- 3 3.00000+ 1 3.20000+ 1 6.43002- 4 4.21398- 3 3.00000+ 1 3.30000+ 1 8.16949- 4 4.22363- 3 3.00000+ 1 3.50000+ 1 1.05069- 4 4.32608- 3 3.00000+ 1 3.60000+ 1 1.17966- 4 4.32723- 3 3.00000+ 1 4.10000+ 1 7.14080- 5 4.28036- 3 3.00000+ 1 4.30000+ 1 7.26677- 5 4.29956- 3 3.00000+ 1 4.40000+ 1 1.50064- 4 4.31006- 3 3.00000+ 1 5.80000+ 1 6.29147- 6 4.32806- 3 3.20000+ 1 3.20000+ 1 4.08949- 6 4.31090- 3 3.20000+ 1 3.30000+ 1 1.10732- 4 4.32055- 3 3.20000+ 1 3.50000+ 1 3.46043- 6 4.42300- 3 3.20000+ 1 3.60000+ 1 2.86263- 5 4.42415- 3 3.20000+ 1 4.10000+ 1 2.51664- 6 4.37728- 3 3.20000+ 1 4.30000+ 1 3.14583- 7 4.39648- 3 3.20000+ 1 4.40000+ 1 8.55663- 5 4.40698- 3 3.20000+ 1 5.80000+ 1 3.14583- 7 4.42498- 3 3.30000+ 1 3.30000+ 1 4.78165- 5 4.33020- 3 3.30000+ 1 3.50000+ 1 2.79988- 5 4.43265- 3 3.30000+ 1 3.60000+ 1 2.23359- 5 4.43380- 3 3.30000+ 1 4.10000+ 1 3.46046- 6 4.38693- 3 3.30000+ 1 4.30000+ 1 6.60619- 6 4.40613- 3 3.30000+ 1 4.40000+ 1 1.08217- 4 4.41663- 3 3.30000+ 1 5.80000+ 1 3.14586- 7 4.43463- 3 3.50000+ 1 3.50000+ 1 6.11732- 7 4.53510- 3 3.50000+ 1 3.60000+ 1 1.80454- 5 4.53625- 3 3.50000+ 1 4.10000+ 1 1.22345- 6 4.48938- 3 3.50000+ 1 4.30000+ 1 1.22345- 6 4.50858- 3 3.50000+ 1 4.40000+ 1 1.34590- 5 4.51908- 3 3.60000+ 1 3.60000+ 1 6.09960- 6 4.53740- 3 3.60000+ 1 4.10000+ 1 1.92600- 6 4.49053- 3 3.60000+ 1 4.30000+ 1 6.09960- 6 4.50973- 3 3.60000+ 1 4.40000+ 1 1.60508- 5 4.52023- 3 3.60000+ 1 5.80000+ 1 3.21031- 7 4.53823- 3 4.10000+ 1 4.10000+ 1 3.14566- 7 4.44366- 3 4.10000+ 1 4.30000+ 1 3.14566- 7 4.46286- 3 4.10000+ 1 4.40000+ 1 9.43686- 6 4.47336- 3 4.30000+ 1 4.40000+ 1 9.75189- 6 4.49256- 3 4.40000+ 1 4.40000+ 1 1.17544- 5 4.50306- 3 4.40000+ 1 5.80000+ 1 1.06858- 6 4.52106- 3 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.46758- 3 2.60730- 3 1.90000+ 1 2.10739- 4 2.87180- 3 2.40000+ 1 5.39736- 2 3.53172- 3 2.90000+ 1 5.81456- 4 3.69647- 3 3.00000+ 1 4.93267- 5 3.76138- 3 3.50000+ 1 1.95699- 3 3.97040- 3 4.30000+ 1 9.94753- 5 3.94388- 3 4.40000+ 1 7.84595- 6 3.95438- 3 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.20000+ 1 4.88769- 2 8.14000- 5 1.40000+ 1 3.30000+ 1 7.01534- 3 9.10500- 5 1.40000+ 1 3.50000+ 1 1.67564- 2 1.93500- 4 1.40000+ 1 3.60000+ 1 1.76853- 3 1.94650- 4 1.40000+ 1 4.10000+ 1 9.51910- 4 1.47780- 4 1.40000+ 1 4.30000+ 1 4.59909- 4 1.66980- 4 1.40000+ 1 4.40000+ 1 9.15561- 4 1.77480- 4 1.40000+ 1 5.80000+ 1 8.18727- 5 1.95480- 4 1.60000+ 1 1.60000+ 1 4.27152- 6 9.10400- 4 1.60000+ 1 1.80000+ 1 7.26897- 4 1.07360- 3 1.60000+ 1 1.90000+ 1 7.08390- 4 1.33810- 3 1.60000+ 1 2.10000+ 1 2.75927- 2 1.60155- 3 1.60000+ 1 2.20000+ 1 3.26497- 3 1.64993- 3 1.60000+ 1 2.40000+ 1 1.61380- 2 1.99802- 3 1.60000+ 1 2.50000+ 1 3.62031- 3 2.01101- 3 1.60000+ 1 2.70000+ 1 1.42384- 5 2.09746- 3 1.60000+ 1 2.90000+ 1 1.48789- 4 2.16277- 3 1.60000+ 1 3.00000+ 1 1.08919- 4 2.22768- 3 1.60000+ 1 3.20000+ 1 3.53190- 3 2.32460- 3 1.60000+ 1 3.30000+ 1 4.49240- 4 2.33425- 3 1.60000+ 1 3.50000+ 1 4.00101- 4 2.43670- 3 1.60000+ 1 3.60000+ 1 7.19070- 5 2.43785- 3 1.60000+ 1 4.10000+ 1 3.55965- 6 2.39098- 3 1.60000+ 1 4.30000+ 1 2.34933- 5 2.41018- 3 1.60000+ 1 4.40000+ 1 1.49505- 5 2.42068- 3 1.80000+ 1 1.80000+ 1 3.23941- 4 1.23680- 3 1.80000+ 1 1.90000+ 1 3.16174- 3 1.50130- 3 1.80000+ 1 2.10000+ 1 2.50587- 2 1.76475- 3 1.80000+ 1 2.20000+ 1 1.39540- 3 1.81313- 3 1.80000+ 1 2.40000+ 1 1.22374- 2 2.16122- 3 1.80000+ 1 2.50000+ 1 6.77200- 3 2.17421- 3 1.80000+ 1 2.70000+ 1 9.75334- 5 2.26066- 3 1.80000+ 1 2.90000+ 1 1.34557- 4 2.32597- 3 1.80000+ 1 3.00000+ 1 5.45338- 4 2.39088- 3 1.80000+ 1 3.20000+ 1 3.16820- 3 2.48780- 3 1.80000+ 1 3.30000+ 1 2.17142- 4 2.49745- 3 1.80000+ 1 3.50000+ 1 2.94026- 4 2.59990- 3 1.80000+ 1 3.60000+ 1 1.58764- 4 2.60105- 3 1.80000+ 1 4.10000+ 1 1.70866- 5 2.55418- 3 1.80000+ 1 4.30000+ 1 2.13591- 5 2.57338- 3 1.80000+ 1 4.40000+ 1 7.40422- 5 2.58388- 3 1.80000+ 1 5.80000+ 1 1.42384- 6 2.60188- 3 1.90000+ 1 1.90000+ 1 1.09784- 3 1.76580- 3 1.90000+ 1 2.10000+ 1 4.75924- 2 2.02925- 3 1.90000+ 1 2.20000+ 1 1.81041- 3 2.07763- 3 1.90000+ 1 2.40000+ 1 1.89017- 3 2.42572- 3 1.90000+ 1 2.50000+ 1 1.59342- 3 2.43871- 3 1.90000+ 1 2.70000+ 1 1.33852- 4 2.52516- 3 1.90000+ 1 2.90000+ 1 4.58500- 4 2.59047- 3 1.90000+ 1 3.00000+ 1 3.61665- 4 2.65538- 3 1.90000+ 1 3.20000+ 1 6.09369- 3 2.75230- 3 1.90000+ 1 3.30000+ 1 2.63418- 4 2.76195- 3 1.90000+ 1 3.50000+ 1 3.55966- 5 2.86440- 3 1.90000+ 1 3.60000+ 1 2.70538- 5 2.86555- 3 1.90000+ 1 4.10000+ 1 2.49176- 5 2.81868- 3 1.90000+ 1 4.30000+ 1 6.83461- 5 2.83788- 3 1.90000+ 1 4.40000+ 1 4.91231- 5 2.84838- 3 1.90000+ 1 5.80000+ 1 2.13593- 6 2.86638- 3 2.10000+ 1 2.10000+ 1 4.42630- 2 2.29270- 3 2.10000+ 1 2.20000+ 1 8.63181- 2 2.34108- 3 2.10000+ 1 2.40000+ 1 5.29075- 2 2.68917- 3 2.10000+ 1 2.50000+ 1 6.23408- 2 2.70216- 3 2.10000+ 1 2.70000+ 1 6.34368- 3 2.78861- 3 2.10000+ 1 2.90000+ 1 5.99211- 3 2.85392- 3 2.10000+ 1 3.00000+ 1 1.09847- 2 2.91883- 3 2.10000+ 1 3.20000+ 1 1.41433- 2 3.01575- 3 2.10000+ 1 3.30000+ 1 1.60937- 2 3.02540- 3 2.10000+ 1 3.50000+ 1 1.80698- 3 3.12785- 3 2.10000+ 1 3.60000+ 1 2.05114- 3 3.12900- 3 2.10000+ 1 4.10000+ 1 1.22667- 3 3.08213- 3 2.10000+ 1 4.30000+ 1 9.82516- 4 3.10133- 3 2.10000+ 1 4.40000+ 1 1.58629- 3 3.11183- 3 2.10000+ 1 5.80000+ 1 1.07510- 4 3.12983- 3 2.20000+ 1 2.20000+ 1 1.35552- 3 2.38946- 3 2.20000+ 1 2.40000+ 1 6.27547- 2 2.73755- 3 2.20000+ 1 2.50000+ 1 2.93163- 3 2.75054- 3 2.20000+ 1 2.70000+ 1 3.63077- 4 2.83699- 3 2.20000+ 1 2.90000+ 1 1.83687- 4 2.90230- 3 2.20000+ 1 3.00000+ 1 3.31052- 4 2.96721- 3 2.20000+ 1 3.20000+ 1 1.10809- 2 3.06413- 3 2.20000+ 1 3.30000+ 1 4.08654- 4 3.07378- 3 2.20000+ 1 3.50000+ 1 1.96496- 3 3.17623- 3 2.20000+ 1 3.60000+ 1 7.97380- 5 3.17738- 3 2.20000+ 1 4.10000+ 1 6.12272- 5 3.13051- 3 2.20000+ 1 4.30000+ 1 2.77659- 5 3.14971- 3 2.20000+ 1 4.40000+ 1 4.55656- 5 3.16021- 3 2.20000+ 1 5.80000+ 1 4.98340- 6 3.17821- 3 2.40000+ 1 2.40000+ 1 6.23224- 2 3.08564- 3 2.40000+ 1 2.50000+ 1 1.78175- 1 3.09863- 3 2.40000+ 1 2.70000+ 1 3.97770- 3 3.18508- 3 2.40000+ 1 2.90000+ 1 2.29174- 3 3.25039- 3 2.40000+ 1 3.00000+ 1 4.49235- 4 3.31530- 3 2.40000+ 1 3.20000+ 1 7.47686- 3 3.41222- 3 2.40000+ 1 3.30000+ 1 1.10937- 2 3.42187- 3 2.40000+ 1 3.50000+ 1 3.75185- 3 3.52432- 3 2.40000+ 1 3.60000+ 1 5.53032- 3 3.52547- 3 2.40000+ 1 4.10000+ 1 7.77431- 4 3.47860- 3 2.40000+ 1 4.30000+ 1 3.68781- 4 3.49780- 3 2.40000+ 1 4.40000+ 1 6.54988- 5 3.50830- 3 2.40000+ 1 5.80000+ 1 6.76330- 5 3.52630- 3 2.50000+ 1 2.50000+ 1 3.71384- 3 3.11162- 3 2.50000+ 1 2.70000+ 1 6.23300- 4 3.19807- 3 2.50000+ 1 2.90000+ 1 6.47003- 4 3.26338- 3 2.50000+ 1 3.00000+ 1 3.33908- 4 3.32829- 3 2.50000+ 1 3.20000+ 1 7.32828- 3 3.42521- 3 2.50000+ 1 3.30000+ 1 4.86157- 4 3.43486- 3 2.50000+ 1 3.50000+ 1 4.79105- 3 3.53731- 3 2.50000+ 1 3.60000+ 1 2.11111- 4 3.53846- 3 2.50000+ 1 4.10000+ 1 1.12025- 4 3.49159- 3 2.50000+ 1 4.30000+ 1 9.04777- 5 3.51079- 3 2.50000+ 1 4.40000+ 1 4.73940- 5 3.52129- 3 2.50000+ 1 5.80000+ 1 9.33515- 6 3.53929- 3 2.70000+ 1 2.70000+ 1 1.42388- 6 3.28452- 3 2.70000+ 1 2.90000+ 1 2.27819- 5 3.34983- 3 2.70000+ 1 3.00000+ 1 2.13597- 5 3.41474- 3 2.70000+ 1 3.20000+ 1 8.17341- 4 3.51166- 3 2.70000+ 1 3.30000+ 1 5.55330- 5 3.52131- 3 2.70000+ 1 3.50000+ 1 1.05371- 4 3.62376- 3 2.70000+ 1 3.60000+ 1 1.56630- 5 3.62491- 3 2.70000+ 1 4.10000+ 1 7.11970- 7 3.57804- 3 2.70000+ 1 4.30000+ 1 3.55974- 6 3.59724- 3 2.70000+ 1 4.40000+ 1 2.84776- 6 3.60774- 3 2.90000+ 1 2.90000+ 1 1.49506- 5 3.41514- 3 2.90000+ 1 3.00000+ 1 8.54337- 5 3.48005- 3 2.90000+ 1 3.20000+ 1 7.61768- 4 3.57697- 3 2.90000+ 1 3.30000+ 1 3.34613- 5 3.58662- 3 2.90000+ 1 3.50000+ 1 5.76678- 5 3.68907- 3 2.90000+ 1 3.60000+ 1 1.56626- 5 3.69022- 3 2.90000+ 1 4.10000+ 1 4.27153- 6 3.64335- 3 2.90000+ 1 4.30000+ 1 4.98340- 6 3.66255- 3 2.90000+ 1 4.40000+ 1 1.21032- 5 3.67305- 3 2.90000+ 1 5.80000+ 1 7.11952- 7 3.69105- 3 3.00000+ 1 3.00000+ 1 3.06128- 5 3.54496- 3 3.00000+ 1 3.20000+ 1 1.41603- 3 3.64188- 3 3.00000+ 1 3.30000+ 1 5.12590- 5 3.65153- 3 3.00000+ 1 3.50000+ 1 9.96661- 6 3.75398- 3 3.00000+ 1 3.60000+ 1 5.69544- 6 3.75513- 3 3.00000+ 1 4.10000+ 1 4.27136- 6 3.70826- 3 3.00000+ 1 4.30000+ 1 1.28148- 5 3.72746- 3 3.00000+ 1 4.40000+ 1 8.54301- 6 3.73796- 3 3.20000+ 1 3.20000+ 1 1.08073- 3 3.73880- 3 3.20000+ 1 3.30000+ 1 2.07961- 3 3.74845- 3 3.20000+ 1 3.50000+ 1 2.54872- 4 3.85090- 3 3.20000+ 1 3.60000+ 1 2.42053- 4 3.85205- 3 3.20000+ 1 4.10000+ 1 1.58047- 4 3.80518- 3 3.20000+ 1 4.30000+ 1 1.25297- 4 3.82438- 3 3.20000+ 1 4.40000+ 1 2.05038- 4 3.83488- 3 3.20000+ 1 5.80000+ 1 1.35263- 5 3.85288- 3 3.30000+ 1 3.30000+ 1 2.83964- 5 3.75810- 3 3.30000+ 1 3.50000+ 1 3.26223- 4 3.86055- 3 3.30000+ 1 3.60000+ 1 1.25466- 5 3.86170- 3 3.30000+ 1 4.10000+ 1 8.58489- 6 3.81483- 3 3.30000+ 1 4.30000+ 1 4.62242- 6 3.83403- 3 3.30000+ 1 4.40000+ 1 6.60380- 6 3.84453- 3 3.30000+ 1 5.80000+ 1 6.60380- 7 3.86253- 3 3.50000+ 1 3.50000+ 1 3.67372- 5 3.96300- 3 3.50000+ 1 3.60000+ 1 1.33651- 4 3.96415- 3 3.50000+ 1 4.10000+ 1 1.83695- 5 3.91728- 3 3.50000+ 1 4.30000+ 1 8.23437- 6 3.93648- 3 3.50000+ 1 4.40000+ 1 1.26678- 6 3.94698- 3 3.50000+ 1 5.80000+ 1 1.90031- 6 3.96498- 3 3.60000+ 1 3.60000+ 1 2.23791- 6 3.96530- 3 3.60000+ 1 4.10000+ 1 2.98367- 6 3.91843- 3 3.60000+ 1 4.30000+ 1 2.23791- 6 3.93763- 3 3.60000+ 1 4.40000+ 1 7.45949- 7 3.94813- 3 4.10000+ 1 4.30000+ 1 9.28244- 7 3.89076- 3 4.10000+ 1 4.40000+ 1 9.28244- 7 3.90126- 3 4.30000+ 1 4.30000+ 1 1.18209- 6 3.90996- 3 4.30000+ 1 4.40000+ 1 2.36408- 6 3.92046- 3 4.40000+ 1 4.40000+ 1 1.66319- 6 3.93096- 3 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.61320- 3 2.67090- 3 2.40000+ 1 2.58071- 3 3.33082- 3 2.50000+ 1 5.05431- 2 3.34381- 3 3.00000+ 1 3.79441- 4 3.56048- 3 3.50000+ 1 9.16782- 5 3.76950- 3 3.60000+ 1 1.76950- 3 3.77065- 3 4.40000+ 1 5.97071- 5 3.75348- 3 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 2.10093- 5 7.09500- 4 1.60000+ 1 1.80000+ 1 2.78198- 4 8.72700- 4 1.60000+ 1 1.90000+ 1 1.48516- 3 1.13720- 3 1.60000+ 1 2.10000+ 1 3.11167- 3 1.40065- 3 1.60000+ 1 2.20000+ 1 3.08128- 2 1.44903- 3 1.60000+ 1 2.40000+ 1 4.05328- 3 1.79712- 3 1.60000+ 1 2.50000+ 1 1.69635- 2 1.81011- 3 1.60000+ 1 2.70000+ 1 1.59383- 5 1.89656- 3 1.60000+ 1 2.90000+ 1 2.24576- 5 1.96187- 3 1.60000+ 1 3.00000+ 1 2.35454- 4 2.02678- 3 1.60000+ 1 3.20000+ 1 3.91222- 4 2.12370- 3 1.60000+ 1 3.30000+ 1 3.92066- 3 2.13335- 3 1.60000+ 1 3.50000+ 1 7.89675- 5 2.23580- 3 1.60000+ 1 3.60000+ 1 3.68752- 4 2.23695- 3 1.60000+ 1 4.10000+ 1 3.62226- 6 2.19008- 3 1.60000+ 1 4.30000+ 1 3.62226- 6 2.20928- 3 1.60000+ 1 4.40000+ 1 3.18777- 5 2.21978- 3 1.80000+ 1 1.80000+ 1 1.37650- 5 1.03590- 3 1.80000+ 1 1.90000+ 1 4.62793- 3 1.30040- 3 1.80000+ 1 2.10000+ 1 2.26762- 4 1.56385- 3 1.80000+ 1 2.20000+ 1 3.16611- 2 1.61223- 3 1.80000+ 1 2.40000+ 1 2.34073- 3 1.96032- 3 1.80000+ 1 2.50000+ 1 1.05346- 2 1.97331- 3 1.80000+ 1 2.70000+ 1 3.47743- 5 2.05976- 3 1.80000+ 1 2.90000+ 1 3.62226- 6 2.12507- 3 1.80000+ 1 3.00000+ 1 7.35339- 4 2.18998- 3 1.80000+ 1 3.20000+ 1 5.79582- 6 2.28690- 3 1.80000+ 1 3.30000+ 1 4.01702- 3 2.29655- 3 1.80000+ 1 3.50000+ 1 5.36112- 5 2.39900- 3 1.80000+ 1 3.60000+ 1 2.24576- 4 2.40015- 3 1.80000+ 1 4.10000+ 1 5.79582- 6 2.35328- 3 1.80000+ 1 4.30000+ 1 7.24472- 7 2.37248- 3 1.80000+ 1 4.40000+ 1 9.92548- 5 2.38298- 3 1.80000+ 1 5.80000+ 1 7.24472- 7 2.40098- 3 1.90000+ 1 1.90000+ 1 2.78201- 3 1.56490- 3 1.90000+ 1 2.10000+ 1 2.82919- 3 1.82835- 3 1.90000+ 1 2.20000+ 1 4.53787- 2 1.87673- 3 1.90000+ 1 2.40000+ 1 1.88877- 3 2.22482- 3 1.90000+ 1 2.50000+ 1 2.92257- 3 2.23781- 3 1.90000+ 1 2.70000+ 1 2.96310- 4 2.32426- 3 1.90000+ 1 2.90000+ 1 6.10739- 4 2.38957- 3 1.90000+ 1 3.00000+ 1 9.04149- 4 2.45448- 3 1.90000+ 1 3.20000+ 1 4.53519- 4 2.55140- 3 1.90000+ 1 3.30000+ 1 5.72564- 3 2.56105- 3 1.90000+ 1 3.50000+ 1 3.62230- 5 2.66350- 3 1.90000+ 1 3.60000+ 1 5.28876- 5 2.66465- 3 1.90000+ 1 4.10000+ 1 5.50600- 5 2.61778- 3 1.90000+ 1 4.30000+ 1 8.98347- 5 2.63698- 3 1.90000+ 1 4.40000+ 1 1.22432- 4 2.64748- 3 1.90000+ 1 5.80000+ 1 5.07121- 6 2.66548- 3 2.10000+ 1 2.10000+ 1 6.23748- 4 2.09180- 3 2.10000+ 1 2.20000+ 1 6.48353- 2 2.14018- 3 2.10000+ 1 2.40000+ 1 2.71957- 3 2.48827- 3 2.10000+ 1 2.50000+ 1 3.76784- 2 2.50126- 3 2.10000+ 1 2.70000+ 1 3.20213- 4 2.58771- 3 2.10000+ 1 2.90000+ 1 6.52018- 5 2.65302- 3 2.10000+ 1 3.00000+ 1 4.65091- 4 2.71793- 3 2.10000+ 1 3.20000+ 1 1.80390- 4 2.81485- 3 2.10000+ 1 3.30000+ 1 8.28912- 3 2.82450- 3 2.10000+ 1 3.50000+ 1 8.25883- 5 2.92695- 3 2.10000+ 1 3.60000+ 1 1.12873- 3 2.92810- 3 2.10000+ 1 4.10000+ 1 5.36105- 5 2.88123- 3 2.10000+ 1 4.30000+ 1 1.01420- 5 2.90043- 3 2.10000+ 1 4.40000+ 1 6.37505- 5 2.91093- 3 2.10000+ 1 5.80000+ 1 4.34667- 6 2.92893- 3 2.20000+ 1 2.20000+ 1 7.13698- 2 2.18856- 3 2.20000+ 1 2.40000+ 1 5.93541- 2 2.53665- 3 2.20000+ 1 2.50000+ 1 9.57567- 2 2.54964- 3 2.20000+ 1 2.70000+ 1 6.70219- 3 2.63609- 3 2.20000+ 1 2.90000+ 1 7.19897- 3 2.70140- 3 2.20000+ 1 3.00000+ 1 1.05733- 2 2.76631- 3 2.20000+ 1 3.20000+ 1 1.20554- 2 2.86323- 3 2.20000+ 1 3.30000+ 1 2.24330- 2 2.87288- 3 2.20000+ 1 3.50000+ 1 2.01840- 3 2.97533- 3 2.20000+ 1 3.60000+ 1 3.01891- 3 2.97648- 3 2.20000+ 1 4.10000+ 1 1.28819- 3 2.92961- 3 2.20000+ 1 4.30000+ 1 1.16859- 3 2.94881- 3 2.20000+ 1 4.40000+ 1 1.53016- 3 2.95931- 3 2.20000+ 1 5.80000+ 1 1.13024- 4 2.97731- 3 2.40000+ 1 2.40000+ 1 5.29085- 3 2.88474- 3 2.40000+ 1 2.50000+ 1 1.67898- 1 2.89773- 3 2.40000+ 1 2.70000+ 1 7.73015- 4 2.98418- 3 2.40000+ 1 2.90000+ 1 4.88298- 4 3.04949- 3 2.40000+ 1 3.00000+ 1 3.71658- 4 3.11440- 3 2.40000+ 1 3.20000+ 1 4.86113- 4 3.21132- 3 2.40000+ 1 3.30000+ 1 7.13842- 3 3.22097- 3 2.40000+ 1 3.50000+ 1 3.17310- 4 3.32342- 3 2.40000+ 1 3.60000+ 1 4.29243- 3 3.32457- 3 2.40000+ 1 4.10000+ 1 1.42002- 4 3.27770- 3 2.40000+ 1 4.30000+ 1 7.82443- 5 3.29690- 3 2.40000+ 1 4.40000+ 1 5.21635- 5 3.30740- 3 2.40000+ 1 5.80000+ 1 1.23158- 5 3.32540- 3 2.50000+ 1 2.50000+ 1 1.14467- 1 2.91072- 3 2.50000+ 1 2.70000+ 1 4.13175- 3 2.99717- 3 2.50000+ 1 2.90000+ 1 2.44589- 3 3.06248- 3 2.50000+ 1 3.00000+ 1 6.45516- 4 3.12739- 3 2.50000+ 1 3.20000+ 1 6.47840- 3 3.22431- 3 2.50000+ 1 3.30000+ 1 1.39709- 2 3.23396- 3 2.50000+ 1 3.50000+ 1 5.30830- 3 3.33641- 3 2.50000+ 1 3.60000+ 1 6.45148- 3 3.33756- 3 2.50000+ 1 4.10000+ 1 8.05617- 4 3.29069- 3 2.50000+ 1 4.30000+ 1 4.00648- 4 3.30989- 3 2.50000+ 1 4.40000+ 1 9.34598- 5 3.32039- 3 2.50000+ 1 5.80000+ 1 7.09976- 5 3.33839- 3 2.70000+ 1 2.90000+ 1 7.24450- 7 3.14893- 3 2.70000+ 1 3.00000+ 1 4.92617- 5 3.21384- 3 2.70000+ 1 3.20000+ 1 4.63652- 5 3.31076- 3 2.70000+ 1 3.30000+ 1 8.58478- 4 3.32041- 3 2.70000+ 1 3.50000+ 1 1.95594- 5 3.42286- 3 2.70000+ 1 3.60000+ 1 1.00694- 4 3.42401- 3 2.70000+ 1 4.40000+ 1 6.52006- 6 3.40684- 3 2.90000+ 1 3.00000+ 1 1.04318- 4 3.27915- 3 2.90000+ 1 3.20000+ 1 4.34657- 6 3.37607- 3 2.90000+ 1 3.30000+ 1 9.27301- 4 3.38572- 3 2.90000+ 1 3.50000+ 1 1.15911- 5 3.48817- 3 2.90000+ 1 3.60000+ 1 5.50575- 5 3.48932- 3 2.90000+ 1 4.40000+ 1 1.44886- 5 3.47215- 3 3.00000+ 1 3.00000+ 1 7.38953- 5 3.34406- 3 3.00000+ 1 3.20000+ 1 7.96923- 5 3.44098- 3 3.00000+ 1 3.30000+ 1 1.33884- 3 3.45063- 3 3.00000+ 1 3.50000+ 1 7.96923- 6 3.55308- 3 3.00000+ 1 3.60000+ 1 1.37649- 5 3.55423- 3 3.00000+ 1 4.10000+ 1 9.41814- 6 3.50736- 3 3.00000+ 1 4.30000+ 1 1.52131- 5 3.52656- 3 3.00000+ 1 4.40000+ 1 2.02842- 5 3.53706- 3 3.00000+ 1 5.80000+ 1 7.24470- 7 3.55506- 3 3.20000+ 1 3.20000+ 1 1.23155- 5 3.53790- 3 3.20000+ 1 3.30000+ 1 1.55099- 3 3.54755- 3 3.20000+ 1 3.50000+ 1 1.52129- 5 3.65000- 3 3.20000+ 1 3.60000+ 1 1.98498- 4 3.65115- 3 3.20000+ 1 4.10000+ 1 7.96914- 6 3.60428- 3 3.20000+ 1 4.30000+ 1 7.24461- 7 3.62348- 3 3.20000+ 1 4.40000+ 1 1.08671- 5 3.63398- 3 3.20000+ 1 5.80000+ 1 7.24461- 7 3.65198- 3 3.30000+ 1 3.30000+ 1 1.69308- 3 3.55720- 3 3.30000+ 1 3.50000+ 1 2.44873- 4 3.65965- 3 3.30000+ 1 3.60000+ 1 4.39035- 4 3.66080- 3 3.30000+ 1 4.10000+ 1 1.65176- 4 3.61393- 3 3.30000+ 1 4.30000+ 1 1.50692- 4 3.63313- 3 3.30000+ 1 4.40000+ 1 1.94162- 4 3.64363- 3 3.30000+ 1 5.80000+ 1 1.44892- 5 3.66163- 3 3.50000+ 1 3.50000+ 1 3.62636- 6 3.76210- 3 3.50000+ 1 3.60000+ 1 1.38521- 4 3.76325- 3 3.50000+ 1 4.10000+ 1 3.62636- 6 3.71638- 3 3.50000+ 1 4.30000+ 1 2.17581- 6 3.73558- 3 3.50000+ 1 4.40000+ 1 1.45055- 6 3.74608- 3 3.60000+ 1 3.60000+ 1 6.95270- 5 3.76440- 3 3.60000+ 1 4.10000+ 1 1.84037- 5 3.71753- 3 3.60000+ 1 4.30000+ 1 8.86140- 6 3.73673- 3 3.60000+ 1 4.40000+ 1 2.04487- 6 3.74723- 3 3.60000+ 1 5.80000+ 1 1.36325- 6 3.76523- 3 4.10000+ 1 4.40000+ 1 1.87030- 6 3.70036- 3 4.30000+ 1 4.40000+ 1 2.69411- 6 3.71956- 3 4.40000+ 1 4.40000+ 1 1.96300- 6 3.73006- 3 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.37770- 5 1.63200- 4 1.90000+ 1 5.34761- 4 4.27700- 4 2.90000+ 1 3.60381- 4 1.25237- 3 3.00000+ 1 6.89101- 5 1.31728- 3 4.30000+ 1 7.26131- 5 1.49978- 3 4.40000+ 1 1.68520- 5 1.51028- 3 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.20000+ 1 6.29729- 2 4.37000- 5 1.80000+ 1 3.30000+ 1 9.67730- 2 5.33500- 5 1.80000+ 1 3.50000+ 1 1.22547- 2 1.55800- 4 1.80000+ 1 3.60000+ 1 1.29593- 2 1.56950- 4 1.80000+ 1 4.10000+ 1 8.90361- 3 1.10080- 4 1.80000+ 1 4.30000+ 1 7.14356- 3 1.29280- 4 1.80000+ 1 4.40000+ 1 9.36892- 3 1.39780- 4 1.80000+ 1 5.80000+ 1 7.54429- 4 1.57780- 4 1.90000+ 1 2.40000+ 1 5.03007- 3 0.00000+ 0 1.90000+ 1 2.50000+ 1 1.70044- 2 0.00000+ 0 1.90000+ 1 2.70000+ 1 3.84195- 2 8.10600- 5 1.90000+ 1 2.90000+ 1 4.69937- 2 1.46370- 4 1.90000+ 1 3.00000+ 1 3.97449- 2 2.11280- 4 1.90000+ 1 3.20000+ 1 3.49776- 2 3.08200- 4 1.90000+ 1 3.30000+ 1 4.34575- 2 3.17850- 4 1.90000+ 1 3.50000+ 1 8.50288- 4 4.20300- 4 1.90000+ 1 3.60000+ 1 1.43773- 3 4.21450- 4 1.90000+ 1 4.10000+ 1 7.31939- 3 3.74580- 4 1.90000+ 1 4.30000+ 1 7.27329- 3 3.93780- 4 1.90000+ 1 4.40000+ 1 5.78189- 3 4.04280- 4 1.90000+ 1 5.80000+ 1 6.40253- 4 4.22280- 4 2.10000+ 1 2.40000+ 1 3.52868- 3 2.45070- 4 2.10000+ 1 2.50000+ 1 4.12915- 3 2.58060- 4 2.10000+ 1 2.70000+ 1 1.63723- 2 3.44510- 4 2.10000+ 1 2.90000+ 1 5.90115- 3 4.09820- 4 2.10000+ 1 3.00000+ 1 5.13933- 3 4.74730- 4 2.10000+ 1 3.20000+ 1 1.87876- 3 5.71650- 4 2.10000+ 1 3.30000+ 1 3.22261- 3 5.81300- 4 2.10000+ 1 3.50000+ 1 6.88772- 4 6.83750- 4 2.10000+ 1 3.60000+ 1 6.65800- 4 6.84900- 4 2.10000+ 1 4.10000+ 1 2.27632- 3 6.38030- 4 2.10000+ 1 4.30000+ 1 8.93785- 4 6.57230- 4 2.10000+ 1 4.40000+ 1 6.09838- 4 6.67730- 4 2.10000+ 1 5.80000+ 1 1.90599- 4 6.85730- 4 2.20000+ 1 2.40000+ 1 4.80857- 3 2.93450- 4 2.20000+ 1 2.50000+ 1 6.03248- 3 3.06440- 4 2.20000+ 1 2.70000+ 1 2.27136- 2 3.92890- 4 2.20000+ 1 2.90000+ 1 8.89682- 3 4.58200- 4 2.20000+ 1 3.00000+ 1 6.29310- 3 5.23110- 4 2.20000+ 1 3.20000+ 1 2.52246- 3 6.20030- 4 2.20000+ 1 3.30000+ 1 3.33054- 3 6.29680- 4 2.20000+ 1 3.50000+ 1 7.38200- 4 7.32130- 4 2.20000+ 1 3.60000+ 1 9.98743- 4 7.33280- 4 2.20000+ 1 4.10000+ 1 3.13777- 3 6.86410- 4 2.20000+ 1 4.30000+ 1 1.20281- 3 7.05610- 4 2.20000+ 1 4.40000+ 1 8.32130- 4 7.16110- 4 2.20000+ 1 5.80000+ 1 2.62879- 4 7.34110- 4 2.40000+ 1 2.40000+ 1 8.68811- 3 6.41540- 4 2.40000+ 1 2.50000+ 1 1.62524- 2 6.54530- 4 2.40000+ 1 2.70000+ 1 2.01222- 2 7.40980- 4 2.40000+ 1 2.90000+ 1 2.82275- 3 8.06290- 4 2.40000+ 1 3.00000+ 1 1.27357- 2 8.71200- 4 2.40000+ 1 3.20000+ 1 1.20297- 3 9.68120- 4 2.40000+ 1 3.30000+ 1 7.66882- 4 9.77770- 4 2.40000+ 1 3.50000+ 1 2.85970- 4 1.08022- 3 2.40000+ 1 3.60000+ 1 2.62062- 4 1.08137- 3 2.40000+ 1 4.10000+ 1 2.34775- 3 1.03450- 3 2.40000+ 1 4.30000+ 1 3.40717- 4 1.05370- 3 2.40000+ 1 4.40000+ 1 1.39740- 3 1.06420- 3 2.40000+ 1 5.80000+ 1 1.91288- 4 1.08220- 3 2.50000+ 1 2.50000+ 1 1.42951- 2 6.67520- 4 2.50000+ 1 2.70000+ 1 2.59928- 2 7.53970- 4 2.50000+ 1 2.90000+ 1 1.29287- 3 8.19280- 4 2.50000+ 1 3.00000+ 1 1.32485- 2 8.84190- 4 2.50000+ 1 3.20000+ 1 6.89430- 4 9.81110- 4 2.50000+ 1 3.30000+ 1 1.70389- 3 9.90760- 4 2.50000+ 1 3.50000+ 1 2.79990- 4 1.09321- 3 2.50000+ 1 3.60000+ 1 4.53742- 4 1.09436- 3 2.50000+ 1 4.10000+ 1 3.01772- 3 1.04749- 3 2.50000+ 1 4.30000+ 1 1.51336- 4 1.06669- 3 2.50000+ 1 4.40000+ 1 1.39098- 3 1.07719- 3 2.50000+ 1 5.80000+ 1 2.45758- 4 1.09519- 3 2.70000+ 1 2.70000+ 1 1.75109- 2 8.40420- 4 2.70000+ 1 2.90000+ 1 2.62698- 2 9.05730- 4 2.70000+ 1 3.00000+ 1 4.08286- 2 9.70640- 4 2.70000+ 1 3.20000+ 1 4.13874- 2 1.06756- 3 2.70000+ 1 3.30000+ 1 5.70165- 2 1.07721- 3 2.70000+ 1 3.50000+ 1 1.03381- 2 1.17966- 3 2.70000+ 1 3.60000+ 1 1.26276- 2 1.18081- 3 2.70000+ 1 4.10000+ 1 5.56810- 3 1.13394- 3 2.70000+ 1 4.30000+ 1 4.30322- 3 1.15314- 3 2.70000+ 1 4.40000+ 1 5.86237- 3 1.16364- 3 2.70000+ 1 5.80000+ 1 4.77932- 4 1.18164- 3 2.90000+ 1 2.90000+ 1 2.01722- 3 9.71040- 4 2.90000+ 1 3.00000+ 1 9.31539- 3 1.03595- 3 2.90000+ 1 3.20000+ 1 3.71452- 3 1.13287- 3 2.90000+ 1 3.30000+ 1 2.53882- 3 1.14252- 3 2.90000+ 1 3.50000+ 1 5.72451- 4 1.24497- 3 2.90000+ 1 3.60000+ 1 3.36203- 4 1.24612- 3 2.90000+ 1 4.10000+ 1 3.12402- 3 1.19925- 3 2.90000+ 1 4.30000+ 1 5.32471- 4 1.21845- 3 2.90000+ 1 4.40000+ 1 9.97715- 4 1.22895- 3 2.90000+ 1 5.80000+ 1 2.56243- 4 1.24695- 3 3.00000+ 1 3.00000+ 1 4.97207- 3 1.10086- 3 3.00000+ 1 3.20000+ 1 2.21521- 3 1.19778- 3 3.00000+ 1 3.30000+ 1 5.84074- 3 1.20743- 3 3.00000+ 1 3.50000+ 1 2.80772- 3 1.30988- 3 3.00000+ 1 3.60000+ 1 3.38194- 3 1.31103- 3 3.00000+ 1 4.10000+ 1 5.06293- 3 1.26416- 3 3.00000+ 1 4.30000+ 1 1.35385- 3 1.28336- 3 3.00000+ 1 4.40000+ 1 1.24661- 3 1.29386- 3 3.00000+ 1 5.80000+ 1 4.17980- 4 1.31186- 3 3.20000+ 1 3.20000+ 1 1.08592- 3 1.29470- 3 3.20000+ 1 3.30000+ 1 3.44734- 3 1.30435- 3 3.20000+ 1 3.50000+ 1 2.58835- 4 1.40680- 3 3.20000+ 1 3.60000+ 1 1.80058- 4 1.40795- 3 3.20000+ 1 4.10000+ 1 5.15425- 3 1.36108- 3 3.20000+ 1 4.30000+ 1 4.83908- 4 1.38028- 3 3.20000+ 1 4.40000+ 1 2.00686- 4 1.39078- 3 3.20000+ 1 5.80000+ 1 4.22019- 4 1.40878- 3 3.30000+ 1 3.30000+ 1 2.18612- 3 1.31400- 3 3.30000+ 1 3.50000+ 1 2.02451- 4 1.41645- 3 3.30000+ 1 3.60000+ 1 3.69607- 4 1.41760- 3 3.30000+ 1 4.10000+ 1 7.01484- 3 1.37073- 3 3.30000+ 1 4.30000+ 1 2.84163- 4 1.38993- 3 3.30000+ 1 4.40000+ 1 6.63066- 4 1.40043- 3 3.30000+ 1 5.80000+ 1 5.75771- 4 1.41843- 3 3.50000+ 1 3.50000+ 1 1.43935- 5 1.51890- 3 3.50000+ 1 3.60000+ 1 3.05874- 5 1.52005- 3 3.50000+ 1 4.10000+ 1 1.17852- 3 1.47318- 3 3.50000+ 1 4.30000+ 1 6.65725- 5 1.49238- 3 3.50000+ 1 4.40000+ 1 3.20270- 4 1.50288- 3 3.50000+ 1 5.80000+ 1 9.53644- 5 1.52088- 3 3.60000+ 1 3.60000+ 1 2.37209- 5 1.52120- 3 3.60000+ 1 4.10000+ 1 1.45598- 3 1.47433- 3 3.60000+ 1 4.30000+ 1 3.64928- 5 1.49353- 3 3.60000+ 1 4.40000+ 1 3.85004- 4 1.50403- 3 3.60000+ 1 5.80000+ 1 1.18605- 4 1.52203- 3 4.10000+ 1 4.10000+ 1 4.47856- 4 1.42746- 3 4.10000+ 1 4.30000+ 1 5.65818- 4 1.44666- 3 4.10000+ 1 4.40000+ 1 7.85753- 4 1.45716- 3 4.10000+ 1 5.80000+ 1 7.59759- 5 1.47516- 3 4.30000+ 1 4.30000+ 1 3.82729- 5 1.46586- 3 4.30000+ 1 4.40000+ 1 1.57127- 4 1.47636- 3 4.30000+ 1 5.80000+ 1 4.63307- 5 1.49436- 3 4.40000+ 1 4.40000+ 1 9.00423- 5 1.48686- 3 4.40000+ 1 5.80000+ 1 7.02780- 5 1.50486- 3 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.06993- 3 5.27950- 4 2.70000+ 1 2.50220- 4 1.02386- 3 3.20000+ 1 6.76512- 5 1.25100- 3 4.10000+ 1 5.10187- 5 1.31738- 3 5.80000+ 1 4.71546- 6 1.36508- 3 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.00000+ 1 1.70305- 2 4.80800- 5 1.90000+ 1 3.20000+ 1 1.04934- 2 1.45000- 4 1.90000+ 1 3.30000+ 1 1.53013- 2 1.54650- 4 1.90000+ 1 3.50000+ 1 1.29673- 3 2.57100- 4 1.90000+ 1 3.60000+ 1 1.89624- 3 2.58250- 4 1.90000+ 1 4.10000+ 1 2.01605- 3 2.11380- 4 1.90000+ 1 4.30000+ 1 2.25968- 3 2.30580- 4 1.90000+ 1 4.40000+ 1 1.91407- 3 2.41080- 4 1.90000+ 1 5.80000+ 1 1.69958- 4 2.59080- 4 2.10000+ 1 2.40000+ 1 8.31460- 2 8.18700- 5 2.10000+ 1 2.50000+ 1 2.10648- 1 9.48600- 5 2.10000+ 1 2.70000+ 1 3.29562- 2 1.81310- 4 2.10000+ 1 2.90000+ 1 2.70823- 2 2.46620- 4 2.10000+ 1 3.00000+ 1 3.18455- 2 3.11530- 4 2.10000+ 1 3.20000+ 1 1.77227- 2 4.08450- 4 2.10000+ 1 3.30000+ 1 2.57111- 2 4.18100- 4 2.10000+ 1 3.50000+ 1 1.25235- 3 5.20550- 4 2.10000+ 1 3.60000+ 1 2.32264- 3 5.21700- 4 2.10000+ 1 4.10000+ 1 6.33178- 3 4.74830- 4 2.10000+ 1 4.30000+ 1 4.13133- 3 4.94030- 4 2.10000+ 1 4.40000+ 1 4.54038- 3 5.04530- 4 2.10000+ 1 5.80000+ 1 5.50984- 4 5.22530- 4 2.20000+ 1 2.40000+ 1 4.19870- 2 1.30250- 4 2.20000+ 1 2.50000+ 1 1.06188- 2 1.43240- 4 2.20000+ 1 2.70000+ 1 5.12224- 3 2.29690- 4 2.20000+ 1 2.90000+ 1 2.22691- 2 2.95000- 4 2.20000+ 1 3.00000+ 1 4.32946- 3 3.59910- 4 2.20000+ 1 3.20000+ 1 2.01640- 3 4.56830- 4 2.20000+ 1 3.30000+ 1 2.30449- 3 4.66480- 4 2.20000+ 1 3.50000+ 1 3.91190- 4 5.68930- 4 2.20000+ 1 3.60000+ 1 2.32679- 4 5.70080- 4 2.20000+ 1 4.10000+ 1 7.52355- 4 5.23210- 4 2.20000+ 1 4.30000+ 1 2.36078- 3 5.42410- 4 2.20000+ 1 4.40000+ 1 4.71080- 4 5.52910- 4 2.20000+ 1 5.80000+ 1 6.36065- 5 5.70910- 4 2.40000+ 1 2.40000+ 1 1.97158- 3 4.78340- 4 2.40000+ 1 2.50000+ 1 1.02227- 2 4.91330- 4 2.40000+ 1 2.70000+ 1 4.98015- 3 5.77780- 4 2.40000+ 1 2.90000+ 1 1.92445- 2 6.43090- 4 2.40000+ 1 3.00000+ 1 2.30897- 3 7.08000- 4 2.40000+ 1 3.20000+ 1 5.88898- 3 8.04920- 4 2.40000+ 1 3.30000+ 1 4.73839- 3 8.14570- 4 2.40000+ 1 3.50000+ 1 4.22490- 4 9.17020- 4 2.40000+ 1 3.60000+ 1 2.78860- 4 9.18170- 4 2.40000+ 1 4.10000+ 1 9.66195- 4 8.71300- 4 2.40000+ 1 4.30000+ 1 2.07298- 3 8.90500- 4 2.40000+ 1 4.40000+ 1 2.88531- 4 9.01000- 4 2.40000+ 1 5.80000+ 1 8.44733- 5 9.19000- 4 2.50000+ 1 2.50000+ 1 5.34577- 4 5.04320- 4 2.50000+ 1 2.70000+ 1 2.72402- 3 5.90770- 4 2.50000+ 1 2.90000+ 1 2.94002- 2 6.56080- 4 2.50000+ 1 3.00000+ 1 1.59162- 3 7.20990- 4 2.50000+ 1 3.20000+ 1 1.24282- 2 8.17910- 4 2.50000+ 1 3.30000+ 1 1.20421- 3 8.27560- 4 2.50000+ 1 3.50000+ 1 9.05791- 5 9.30010- 4 2.50000+ 1 3.60000+ 1 5.31770- 5 9.31160- 4 2.50000+ 1 4.10000+ 1 3.89410- 4 8.84290- 4 2.50000+ 1 4.30000+ 1 3.03413- 3 9.03490- 4 2.50000+ 1 4.40000+ 1 1.89177- 4 9.13990- 4 2.50000+ 1 5.80000+ 1 3.25677- 5 9.31990- 4 2.70000+ 1 2.70000+ 1 2.00542- 3 6.77220- 4 2.70000+ 1 2.90000+ 1 2.59474- 2 7.42530- 4 2.70000+ 1 3.00000+ 1 4.96832- 3 8.07440- 4 2.70000+ 1 3.20000+ 1 6.59030- 3 9.04360- 4 2.70000+ 1 3.30000+ 1 4.56110- 3 9.14010- 4 2.70000+ 1 3.50000+ 1 3.01578- 4 1.01646- 3 2.70000+ 1 3.60000+ 1 6.18493- 4 1.01761- 3 2.70000+ 1 4.10000+ 1 5.91226- 4 9.70740- 4 2.70000+ 1 4.30000+ 1 2.65282- 3 9.89940- 4 2.70000+ 1 4.40000+ 1 6.38936- 4 1.00044- 3 2.70000+ 1 5.80000+ 1 4.94106- 5 1.01844- 3 2.90000+ 1 2.90000+ 1 1.79684- 2 8.07840- 4 2.90000+ 1 3.00000+ 1 4.67073- 2 8.72750- 4 2.90000+ 1 3.20000+ 1 3.80882- 2 9.69670- 4 2.90000+ 1 3.30000+ 1 6.34048- 2 9.79320- 4 2.90000+ 1 3.50000+ 1 1.04477- 2 1.08177- 3 2.90000+ 1 3.60000+ 1 1.39002- 2 1.08292- 3 2.90000+ 1 4.10000+ 1 5.19629- 3 1.03605- 3 2.90000+ 1 4.30000+ 1 4.86170- 3 1.05525- 3 2.90000+ 1 4.40000+ 1 6.73985- 3 1.06575- 3 2.90000+ 1 5.80000+ 1 4.57026- 4 1.08375- 3 3.00000+ 1 3.00000+ 1 1.49615- 3 9.37660- 4 3.00000+ 1 3.20000+ 1 6.63172- 3 1.03458- 3 3.00000+ 1 3.30000+ 1 3.05805- 3 1.04423- 3 3.00000+ 1 3.50000+ 1 3.42473- 4 1.14668- 3 3.00000+ 1 3.60000+ 1 5.01595- 4 1.14783- 3 3.00000+ 1 4.10000+ 1 6.81482- 4 1.10096- 3 3.00000+ 1 4.30000+ 1 4.89674- 3 1.12016- 3 3.00000+ 1 4.40000+ 1 3.64962- 4 1.13066- 3 3.00000+ 1 5.80000+ 1 5.70780- 5 1.14866- 3 3.20000+ 1 3.20000+ 1 2.06855- 3 1.13150- 3 3.20000+ 1 3.30000+ 1 3.07276- 3 1.14115- 3 3.20000+ 1 3.50000+ 1 1.42740- 3 1.24360- 3 3.20000+ 1 3.60000+ 1 2.31720- 3 1.24475- 3 3.20000+ 1 4.10000+ 1 9.58177- 4 1.19788- 3 3.20000+ 1 4.30000+ 1 3.30468- 3 1.21708- 3 3.20000+ 1 4.40000+ 1 7.52847- 4 1.22758- 3 3.20000+ 1 5.80000+ 1 8.38052- 5 1.24558- 3 3.30000+ 1 3.30000+ 1 5.27639- 4 1.15080- 3 3.30000+ 1 3.50000+ 1 3.88411- 4 1.25325- 3 3.30000+ 1 3.60000+ 1 2.06040- 4 1.25440- 3 3.30000+ 1 4.10000+ 1 4.58021- 4 1.20753- 3 3.30000+ 1 4.30000+ 1 5.41301- 3 1.22673- 3 3.30000+ 1 4.40000+ 1 2.88184- 4 1.23723- 3 3.30000+ 1 5.80000+ 1 3.75886- 5 1.25523- 3 3.50000+ 1 3.50000+ 1 1.84452- 5 1.35570- 3 3.50000+ 1 3.60000+ 1 3.40515- 5 1.35685- 3 3.50000+ 1 4.10000+ 1 4.39828- 5 1.30998- 3 3.50000+ 1 4.30000+ 1 8.71190- 4 1.32918- 3 3.50000+ 1 4.40000+ 1 3.26325- 5 1.33968- 3 3.50000+ 1 5.80000+ 1 4.25639- 6 1.35768- 3 3.60000+ 1 3.60000+ 1 7.20775- 6 1.35800- 3 3.60000+ 1 4.10000+ 1 7.06374- 5 1.31113- 3 3.60000+ 1 4.30000+ 1 1.18360- 3 1.33033- 3 3.60000+ 1 4.40000+ 1 4.61312- 5 1.34083- 3 3.60000+ 1 5.80000+ 1 5.76623- 6 1.35883- 3 4.10000+ 1 4.10000+ 1 3.52237- 5 1.26426- 3 4.10000+ 1 4.30000+ 1 4.21329- 4 1.28346- 3 4.10000+ 1 4.40000+ 1 6.77361- 5 1.29396- 3 4.10000+ 1 5.80000+ 1 5.41892- 6 1.31196- 3 4.30000+ 1 4.30000+ 1 2.81121- 4 1.30266- 3 4.30000+ 1 4.40000+ 1 6.45928- 4 1.31316- 3 4.30000+ 1 5.80000+ 1 4.26410- 5 1.33116- 3 4.40000+ 1 4.40000+ 1 2.22180- 5 1.32366- 3 4.40000+ 1 5.80000+ 1 6.83584- 6 1.34166- 3 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.23181- 5 2.63450- 4 2.20000+ 1 1.91992- 4 3.11830- 4 2.70000+ 1 3.03463- 4 7.59360- 4 3.20000+ 1 3.40123- 5 9.86500- 4 3.30000+ 1 1.99602- 4 9.96150- 4 4.10000+ 1 5.92146- 5 1.05288- 3 5.80000+ 1 5.54286- 6 1.10058- 3 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.00000+ 1 5.05637- 2 4.70300- 5 2.10000+ 1 3.20000+ 1 1.84172- 2 1.43950- 4 2.10000+ 1 3.30000+ 1 2.78933- 2 1.53600- 4 2.10000+ 1 3.50000+ 1 1.87159- 3 2.56050- 4 2.10000+ 1 3.60000+ 1 1.61461- 3 2.57200- 4 2.10000+ 1 4.10000+ 1 3.97339- 3 2.10330- 4 2.10000+ 1 4.30000+ 1 2.82785- 3 2.29530- 4 2.10000+ 1 4.40000+ 1 6.02832- 3 2.40030- 4 2.10000+ 1 5.80000+ 1 3.41228- 4 2.58030- 4 2.20000+ 1 2.90000+ 1 1.23784- 1 3.05000- 5 2.20000+ 1 3.00000+ 1 1.35414- 1 9.54100- 5 2.20000+ 1 3.20000+ 1 1.20599- 1 1.92330- 4 2.20000+ 1 3.30000+ 1 1.44791- 1 2.01980- 4 2.20000+ 1 3.50000+ 1 5.57216- 3 3.04430- 4 2.20000+ 1 3.60000+ 1 7.11223- 3 3.05580- 4 2.20000+ 1 4.10000+ 1 2.23508- 2 2.58710- 4 2.20000+ 1 4.30000+ 1 1.96501- 2 2.77910- 4 2.20000+ 1 4.40000+ 1 1.80784- 2 2.88410- 4 2.20000+ 1 5.80000+ 1 1.93366- 3 3.06410- 4 2.40000+ 1 2.40000+ 1 9.69690- 4 2.13840- 4 2.40000+ 1 2.50000+ 1 3.60712- 3 2.26830- 4 2.40000+ 1 2.70000+ 1 9.54645- 3 3.13280- 4 2.40000+ 1 2.90000+ 1 4.98519- 3 3.78590- 4 2.40000+ 1 3.00000+ 1 5.45471- 2 4.43500- 4 2.40000+ 1 3.20000+ 1 2.15627- 3 5.40420- 4 2.40000+ 1 3.30000+ 1 7.85764- 3 5.50070- 4 2.40000+ 1 3.50000+ 1 4.18884- 4 6.52520- 4 2.40000+ 1 3.60000+ 1 3.97500- 4 6.53670- 4 2.40000+ 1 4.10000+ 1 1.14108- 3 6.06800- 4 2.40000+ 1 4.30000+ 1 6.79655- 4 6.26000- 4 2.40000+ 1 4.40000+ 1 5.27691- 3 6.36500- 4 2.40000+ 1 5.80000+ 1 9.33970- 5 6.54500- 4 2.50000+ 1 2.50000+ 1 3.56850- 3 2.39820- 4 2.50000+ 1 2.70000+ 1 2.20948- 2 3.26270- 4 2.50000+ 1 2.90000+ 1 1.76032- 2 3.91580- 4 2.50000+ 1 3.00000+ 1 6.55690- 2 4.56490- 4 2.50000+ 1 3.20000+ 1 1.61458- 3 5.53410- 4 2.50000+ 1 3.30000+ 1 1.11451- 2 5.63060- 4 2.50000+ 1 3.50000+ 1 1.61290- 3 6.65510- 4 2.50000+ 1 3.60000+ 1 2.00335- 3 6.66660- 4 2.50000+ 1 4.10000+ 1 3.21840- 3 6.19790- 4 2.50000+ 1 4.30000+ 1 2.52139- 3 6.38990- 4 2.50000+ 1 4.40000+ 1 6.40840- 3 6.49490- 4 2.50000+ 1 5.80000+ 1 2.71656- 4 6.67490- 4 2.70000+ 1 2.70000+ 1 3.47202- 5 4.12720- 4 2.70000+ 1 2.90000+ 1 2.55473- 4 4.78030- 4 2.70000+ 1 3.00000+ 1 5.02821- 3 5.42940- 4 2.70000+ 1 3.20000+ 1 4.63223- 4 6.39860- 4 2.70000+ 1 3.30000+ 1 7.78247- 4 6.49510- 4 2.70000+ 1 3.50000+ 1 1.25618- 4 7.51960- 4 2.70000+ 1 3.60000+ 1 1.20810- 4 7.53110- 4 2.70000+ 1 4.10000+ 1 1.58073- 5 7.06240- 4 2.70000+ 1 4.30000+ 1 2.65340- 5 7.25440- 4 2.70000+ 1 4.40000+ 1 4.64916- 4 7.35940- 4 2.70000+ 1 5.80000+ 1 1.41134- 6 7.53940- 4 2.90000+ 1 2.90000+ 1 1.41137- 6 5.43340- 4 2.90000+ 1 3.00000+ 1 5.75550- 3 6.08250- 4 2.90000+ 1 3.20000+ 1 2.58854- 4 7.05170- 4 2.90000+ 1 3.30000+ 1 7.11638- 4 7.14820- 4 2.90000+ 1 3.50000+ 1 1.00216- 4 8.17270- 4 2.90000+ 1 3.60000+ 1 2.16520- 4 8.18420- 4 2.90000+ 1 4.10000+ 1 4.46012- 5 7.71550- 4 2.90000+ 1 4.30000+ 1 4.79882- 6 7.90750- 4 2.90000+ 1 4.40000+ 1 5.46790- 4 8.01250- 4 2.90000+ 1 5.80000+ 1 3.95203- 6 8.19250- 4 3.00000+ 1 3.00000+ 1 7.25985- 3 6.73160- 4 3.00000+ 1 3.20000+ 1 8.71161- 3 7.70080- 4 3.00000+ 1 3.30000+ 1 1.15900- 2 7.79730- 4 3.00000+ 1 3.50000+ 1 2.22976- 3 8.82180- 4 3.00000+ 1 3.60000+ 1 2.62324- 3 8.83330- 4 3.00000+ 1 4.10000+ 1 9.97568- 4 8.36460- 4 3.00000+ 1 4.30000+ 1 9.14856- 4 8.55660- 4 3.00000+ 1 4.40000+ 1 1.74001- 3 8.66160- 4 3.00000+ 1 5.80000+ 1 8.75059- 5 8.84160- 4 3.20000+ 1 3.20000+ 1 1.75380- 4 8.67000- 4 3.20000+ 1 3.30000+ 1 1.05079- 3 8.76650- 4 3.20000+ 1 3.50000+ 1 5.10082- 5 9.79100- 4 3.20000+ 1 3.60000+ 1 9.31322- 5 9.80250- 4 3.20000+ 1 4.10000+ 1 6.44756- 5 9.33380- 4 3.20000+ 1 4.30000+ 1 4.21243- 5 9.52580- 4 3.20000+ 1 4.40000+ 1 8.49368- 4 9.63080- 4 3.20000+ 1 5.80000+ 1 5.44465- 6 9.81080- 4 3.30000+ 1 3.30000+ 1 9.86570- 4 8.86300- 4 3.30000+ 1 3.50000+ 1 1.67392- 4 9.88750- 4 3.30000+ 1 3.60000+ 1 2.26386- 4 9.89900- 4 3.30000+ 1 4.10000+ 1 1.47357- 4 9.43030- 4 3.30000+ 1 4.30000+ 1 1.16864- 4 9.62230- 4 3.30000+ 1 4.40000+ 1 1.12797- 3 9.72730- 4 3.30000+ 1 5.80000+ 1 1.29857- 5 9.90730- 4 3.50000+ 1 3.50000+ 1 1.94793- 6 1.09120- 3 3.50000+ 1 3.60000+ 1 1.11321- 5 1.09235- 3 3.50000+ 1 4.10000+ 1 1.53067- 5 1.04548- 3 3.50000+ 1 4.30000+ 1 5.84409- 6 1.06468- 3 3.50000+ 1 4.40000+ 1 2.03988- 4 1.07518- 3 3.50000+ 1 5.80000+ 1 1.11321- 6 1.09318- 3 3.60000+ 1 3.60000+ 1 6.81474- 6 1.09350- 3 3.60000+ 1 4.10000+ 1 1.59006- 5 1.04663- 3 3.60000+ 1 4.30000+ 1 1.27780- 5 1.06583- 3 3.60000+ 1 4.40000+ 1 2.43620- 4 1.07633- 3 3.60000+ 1 5.80000+ 1 1.41967- 6 1.09433- 3 4.10000+ 1 4.10000+ 1 2.96075- 7 9.99760- 4 4.10000+ 1 4.30000+ 1 3.55292- 6 1.01896- 3 4.10000+ 1 4.40000+ 1 9.71120- 5 1.02946- 3 4.30000+ 1 4.40000+ 1 9.48201- 5 1.04866- 3 4.30000+ 1 5.80000+ 1 3.08863- 7 1.06666- 3 4.40000+ 1 4.40000+ 1 1.12278- 4 1.05916- 3 4.40000+ 1 5.80000+ 1 9.30321- 6 1.07716- 3 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.85100- 4 3.96470- 4 2.90000+ 1 1.81300- 4 5.61220- 4 3.00000+ 1 2.00090- 5 6.26130- 4 3.50000+ 1 5.18981- 5 8.35150- 4 4.30000+ 1 3.17180- 5 8.08630- 4 4.40000+ 1 3.24380- 6 8.19130- 4 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.50000+ 1 2.70269- 3 4.09800- 5 2.20000+ 1 3.60000+ 1 3.18686- 3 4.21300- 5 2.20000+ 1 4.30000+ 1 1.26057- 3 1.44600- 5 2.20000+ 1 4.40000+ 1 2.75159- 3 2.49600- 5 2.20000+ 1 5.80000+ 1 1.89287- 4 4.29600- 5 2.40000+ 1 2.70000+ 1 1.23156- 1 4.98300- 5 2.40000+ 1 2.90000+ 1 1.10407- 1 1.15140- 4 2.40000+ 1 3.00000+ 1 1.28085- 1 1.80050- 4 2.40000+ 1 3.20000+ 1 1.30645- 1 2.76970- 4 2.40000+ 1 3.30000+ 1 1.36984- 1 2.86620- 4 2.40000+ 1 3.50000+ 1 4.21715- 3 3.89070- 4 2.40000+ 1 3.60000+ 1 3.16734- 3 3.90220- 4 2.40000+ 1 4.10000+ 1 2.38644- 2 3.43350- 4 2.40000+ 1 4.30000+ 1 1.75570- 2 3.62550- 4 2.40000+ 1 4.40000+ 1 1.79400- 2 3.73050- 4 2.40000+ 1 5.80000+ 1 2.09727- 3 3.91050- 4 2.50000+ 1 2.70000+ 1 8.87366- 3 6.28200- 5 2.50000+ 1 2.90000+ 1 1.81780- 2 1.28130- 4 2.50000+ 1 3.00000+ 1 8.28243- 3 1.93040- 4 2.50000+ 1 3.20000+ 1 1.38514- 1 2.89960- 4 2.50000+ 1 3.30000+ 1 5.84430- 3 2.99610- 4 2.50000+ 1 3.50000+ 1 1.46913- 3 4.02060- 4 2.50000+ 1 3.60000+ 1 3.71747- 4 4.03210- 4 2.50000+ 1 4.10000+ 1 1.24626- 3 3.56340- 4 2.50000+ 1 4.30000+ 1 1.79710- 3 3.75540- 4 2.50000+ 1 4.40000+ 1 8.88375- 4 3.86040- 4 2.50000+ 1 5.80000+ 1 1.05408- 4 4.04040- 4 2.70000+ 1 2.70000+ 1 8.76647- 4 1.49270- 4 2.70000+ 1 2.90000+ 1 2.15923- 3 2.14580- 4 2.70000+ 1 3.00000+ 1 1.60140- 3 2.79490- 4 2.70000+ 1 3.20000+ 1 1.23595- 2 3.76410- 4 2.70000+ 1 3.30000+ 1 1.97716- 3 3.86060- 4 2.70000+ 1 3.50000+ 1 1.03627- 3 4.88510- 4 2.70000+ 1 3.60000+ 1 8.42802- 4 4.89660- 4 2.70000+ 1 4.10000+ 1 1.99106- 4 4.42790- 4 2.70000+ 1 4.30000+ 1 2.29462- 4 4.61990- 4 2.70000+ 1 4.40000+ 1 1.79578- 4 4.72490- 4 2.70000+ 1 5.80000+ 1 1.69169- 5 4.90490- 4 2.90000+ 1 2.90000+ 1 4.88438- 4 2.79890- 4 2.90000+ 1 3.00000+ 1 2.08991- 3 3.44800- 4 2.90000+ 1 3.20000+ 1 8.75594- 3 4.41720- 4 2.90000+ 1 3.30000+ 1 9.77315- 4 4.51370- 4 2.90000+ 1 3.50000+ 1 1.56165- 4 5.53820- 4 2.90000+ 1 3.60000+ 1 1.33607- 4 5.54970- 4 2.90000+ 1 4.10000+ 1 1.55295- 4 5.08100- 4 2.90000+ 1 4.30000+ 1 1.06710- 4 5.27300- 4 2.90000+ 1 4.40000+ 1 1.70054- 4 5.37800- 4 2.90000+ 1 5.80000+ 1 1.25798- 5 5.55800- 4 3.00000+ 1 3.00000+ 1 7.20983- 4 4.09710- 4 3.00000+ 1 3.20000+ 1 1.75769- 2 5.06630- 4 3.00000+ 1 3.30000+ 1 1.48692- 3 5.16280- 4 3.00000+ 1 3.50000+ 1 4.22814- 4 6.18730- 4 3.00000+ 1 3.60000+ 1 2.33891- 4 6.19880- 4 3.00000+ 1 4.10000+ 1 7.49679- 5 5.73010- 4 3.00000+ 1 4.30000+ 1 1.52939- 4 5.92210- 4 3.00000+ 1 4.40000+ 1 1.25082- 4 6.02710- 4 3.00000+ 1 5.80000+ 1 5.56906- 6 6.20710- 4 3.20000+ 1 3.20000+ 1 1.14036- 2 6.03550- 4 3.20000+ 1 3.30000+ 1 2.21964- 2 6.13200- 4 3.20000+ 1 3.50000+ 1 3.83445- 3 7.15650- 4 3.20000+ 1 3.60000+ 1 5.16144- 3 7.16800- 4 3.20000+ 1 4.10000+ 1 1.90108- 3 6.69930- 4 3.20000+ 1 4.30000+ 1 1.41973- 3 6.89130- 4 3.20000+ 1 4.40000+ 1 2.44952- 3 6.99630- 4 3.20000+ 1 5.80000+ 1 1.64830- 4 7.17630- 4 3.30000+ 1 3.30000+ 1 3.59203- 4 6.22850- 4 3.30000+ 1 3.50000+ 1 4.35063- 4 7.25300- 4 3.30000+ 1 3.60000+ 1 1.41857- 4 7.26450- 4 3.30000+ 1 4.10000+ 1 7.01072- 5 6.79580- 4 3.30000+ 1 4.30000+ 1 7.71179- 5 6.98780- 4 3.30000+ 1 4.40000+ 1 1.32380- 4 7.09280- 4 3.30000+ 1 5.80000+ 1 5.77351- 6 7.27280- 4 3.50000+ 1 3.50000+ 1 2.67552- 5 8.27750- 4 3.50000+ 1 3.60000+ 1 5.35090- 5 8.28900- 4 3.50000+ 1 4.10000+ 1 5.98809- 5 7.82030- 4 3.50000+ 1 4.30000+ 1 2.37822- 5 8.01230- 4 3.50000+ 1 4.40000+ 1 4.62912- 5 8.11730- 4 3.50000+ 1 5.80000+ 1 4.67160- 6 8.29730- 4 3.60000+ 1 3.60000+ 1 6.73458- 6 8.30050- 4 3.60000+ 1 4.10000+ 1 4.45504- 5 7.83180- 4 3.60000+ 1 4.30000+ 1 2.12387- 5 8.02380- 4 3.60000+ 1 4.40000+ 1 2.69383- 5 8.12880- 4 3.60000+ 1 5.80000+ 1 3.10819- 6 8.30880- 4 4.10000+ 1 4.10000+ 1 6.26282- 6 7.36310- 4 4.10000+ 1 4.30000+ 1 1.20441- 5 7.55510- 4 4.10000+ 1 4.40000+ 1 8.67156- 6 7.66010- 4 4.10000+ 1 5.80000+ 1 9.63502- 7 7.84010- 4 4.30000+ 1 4.30000+ 1 1.82487- 6 7.74710- 4 4.30000+ 1 4.40000+ 1 1.27747- 5 7.85210- 4 4.30000+ 1 5.80000+ 1 9.12483- 7 8.03210- 4 4.40000+ 1 4.40000+ 1 6.80903- 6 7.95710- 4 4.40000+ 1 5.80000+ 1 5.23777- 7 8.13710- 4 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.75938- 5 3.48090- 4 2.50000+ 1 4.02774- 4 3.61080- 4 3.00000+ 1 1.47659- 4 5.77750- 4 3.50000+ 1 3.47219- 6 7.86770- 4 3.60000+ 1 5.76238- 5 7.87920- 4 4.40000+ 1 2.40264- 5 7.70750- 4 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.70000+ 1 1.06917- 2 1.45000- 6 2.40000+ 1 2.90000+ 1 8.17421- 3 6.67600- 5 2.40000+ 1 3.00000+ 1 1.52622- 2 1.31670- 4 2.40000+ 1 3.20000+ 1 7.43916- 3 2.28590- 4 2.40000+ 1 3.30000+ 1 1.03780- 1 2.38240- 4 2.40000+ 1 3.50000+ 1 6.31833- 4 3.40690- 4 2.40000+ 1 3.60000+ 1 7.70837- 4 3.41840- 4 2.40000+ 1 4.10000+ 1 2.00583- 3 2.94970- 4 2.40000+ 1 4.30000+ 1 1.29780- 3 3.14170- 4 2.40000+ 1 4.40000+ 1 1.76453- 3 3.24670- 4 2.40000+ 1 5.80000+ 1 1.72346- 4 3.42670- 4 2.50000+ 1 2.70000+ 1 1.13005- 1 1.44400- 5 2.50000+ 1 2.90000+ 1 1.24001- 1 7.97500- 5 2.50000+ 1 3.00000+ 1 1.11401- 1 1.44660- 4 2.50000+ 1 3.20000+ 1 1.11510- 1 2.41580- 4 2.50000+ 1 3.30000+ 1 1.98932- 1 2.51230- 4 2.50000+ 1 3.50000+ 1 2.92292- 3 3.53680- 4 2.50000+ 1 3.60000+ 1 5.44992- 3 3.54830- 4 2.50000+ 1 4.10000+ 1 2.26278- 2 3.07960- 4 2.50000+ 1 4.30000+ 1 1.92361- 2 3.27160- 4 2.50000+ 1 4.40000+ 1 1.57602- 2 3.37660- 4 2.50000+ 1 5.80000+ 1 1.97547- 3 3.55660- 4 2.70000+ 1 2.70000+ 1 1.62432- 3 1.00890- 4 2.70000+ 1 2.90000+ 1 2.34743- 3 1.66200- 4 2.70000+ 1 3.00000+ 1 3.41549- 3 2.31110- 4 2.70000+ 1 3.20000+ 1 3.01503- 3 3.28030- 4 2.70000+ 1 3.30000+ 1 1.50216- 2 3.37680- 4 2.70000+ 1 3.50000+ 1 1.00893- 3 4.40130- 4 2.70000+ 1 3.60000+ 1 1.55043- 3 4.41280- 4 2.70000+ 1 4.10000+ 1 3.60016- 4 3.94410- 4 2.70000+ 1 4.30000+ 1 2.60734- 4 4.13610- 4 2.70000+ 1 4.40000+ 1 3.80134- 4 4.24110- 4 2.70000+ 1 5.80000+ 1 2.99631- 5 4.42110- 4 2.90000+ 1 2.90000+ 1 3.22569- 4 2.31510- 4 2.90000+ 1 3.00000+ 1 3.85595- 3 2.96420- 4 2.90000+ 1 3.20000+ 1 5.83770- 4 3.93340- 4 2.90000+ 1 3.30000+ 1 1.33154- 2 4.02990- 4 2.90000+ 1 3.50000+ 1 1.58588- 4 5.05440- 4 2.90000+ 1 3.60000+ 1 3.36894- 4 5.06590- 4 2.90000+ 1 4.10000+ 1 1.58588- 4 4.59720- 4 2.90000+ 1 4.30000+ 1 7.16824- 5 4.78920- 4 2.90000+ 1 4.40000+ 1 3.18103- 4 4.89420- 4 2.90000+ 1 5.80000+ 1 1.25450- 5 5.07420- 4 3.00000+ 1 3.00000+ 1 1.20419- 3 3.61330- 4 3.00000+ 1 3.20000+ 1 2.23046- 3 4.58250- 4 3.00000+ 1 3.30000+ 1 1.67877- 2 4.67900- 4 3.00000+ 1 3.50000+ 1 3.10324- 4 5.70350- 4 3.00000+ 1 3.60000+ 1 4.11760- 4 5.71500- 4 3.00000+ 1 4.10000+ 1 1.08770- 4 5.24630- 4 3.00000+ 1 4.30000+ 1 1.62713- 4 5.43830- 4 3.00000+ 1 4.40000+ 1 2.12365- 4 5.54330- 4 3.00000+ 1 5.80000+ 1 7.76914- 6 5.72330- 4 3.20000+ 1 3.20000+ 1 1.41291- 4 5.55170- 4 3.20000+ 1 3.30000+ 1 1.61244- 2 5.64820- 4 3.20000+ 1 3.50000+ 1 1.02180- 4 6.67270- 4 3.20000+ 1 3.60000+ 1 3.79706- 4 6.68420- 4 3.20000+ 1 4.10000+ 1 7.27462- 5 6.21550- 4 3.20000+ 1 4.30000+ 1 4.83558- 5 6.40750- 4 3.20000+ 1 4.40000+ 1 2.11501- 4 6.51250- 4 3.20000+ 1 5.80000+ 1 5.88687- 6 6.69250- 4 3.30000+ 1 3.30000+ 1 1.79442- 2 5.74470- 4 3.30000+ 1 3.50000+ 1 4.29380- 3 6.76920- 4 3.30000+ 1 3.60000+ 1 5.02807- 3 6.78070- 4 3.30000+ 1 4.10000+ 1 1.92657- 3 6.31200- 4 3.30000+ 1 4.30000+ 1 1.79421- 3 6.50400- 4 3.30000+ 1 4.40000+ 1 2.29916- 3 6.60900- 4 3.30000+ 1 5.80000+ 1 1.67047- 4 6.78900- 4 3.50000+ 1 3.50000+ 1 6.06779- 6 7.79370- 4 3.50000+ 1 3.60000+ 1 4.81096- 5 7.80520- 4 3.50000+ 1 4.10000+ 1 4.29085- 5 7.33650- 4 3.50000+ 1 4.30000+ 1 1.51693- 5 7.52850- 4 3.50000+ 1 4.40000+ 1 2.68714- 5 7.63350- 4 3.50000+ 1 5.80000+ 1 3.03386- 6 7.81350- 4 3.60000+ 1 3.60000+ 1 3.86625- 5 7.81670- 4 3.60000+ 1 4.10000+ 1 7.60210- 5 7.34800- 4 3.60000+ 1 4.30000+ 1 2.91042- 5 7.54000- 4 3.60000+ 1 4.40000+ 1 4.38755- 5 7.64500- 4 3.60000+ 1 5.80000+ 1 5.64727- 6 7.82500- 4 4.10000+ 1 4.10000+ 1 1.09172- 5 6.87930- 4 4.10000+ 1 4.30000+ 1 1.41010- 5 7.07130- 4 4.10000+ 1 4.40000+ 1 1.36464- 5 7.17630- 4 4.10000+ 1 5.80000+ 1 1.81946- 6 7.35630- 4 4.30000+ 1 4.30000+ 1 2.67229- 6 7.26330- 4 4.30000+ 1 4.40000+ 1 1.81718- 5 7.36830- 4 4.30000+ 1 5.80000+ 1 1.06893- 6 7.54830- 4 4.40000+ 1 4.40000+ 1 1.23508- 5 7.47330- 4 4.40000+ 1 5.80000+ 1 1.02922- 6 7.65330- 4 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.01174- 4 3.26580- 4 3.30000+ 1 6.38093- 6 3.36230- 4 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 3.50000+ 1 1.22262- 1 5.59000- 6 2.50000+ 1 3.60000+ 1 5.95584- 3 6.74000- 6 2.50000+ 1 5.80000+ 1 2.00944- 4 7.57000- 6 2.70000+ 1 3.50000+ 1 5.33974- 2 9.20400- 5 2.70000+ 1 3.60000+ 1 8.42346- 3 9.31900- 5 2.70000+ 1 4.10000+ 1 1.84949- 3 4.63200- 5 2.70000+ 1 4.30000+ 1 2.09968- 3 6.55200- 5 2.70000+ 1 4.40000+ 1 4.24850- 3 7.60200- 5 2.70000+ 1 5.80000+ 1 1.15973- 4 9.40200- 5 2.90000+ 1 3.20000+ 1 3.16863- 2 4.52500- 5 2.90000+ 1 3.30000+ 1 6.37522- 2 5.49000- 5 2.90000+ 1 3.50000+ 1 5.75541- 2 1.57350- 4 2.90000+ 1 3.60000+ 1 1.36012- 2 1.58500- 4 2.90000+ 1 4.10000+ 1 1.37259- 2 1.11630- 4 2.90000+ 1 4.30000+ 1 7.61235- 3 1.30830- 4 2.90000+ 1 4.40000+ 1 1.22994- 2 1.41330- 4 2.90000+ 1 5.80000+ 1 1.13727- 3 1.59330- 4 3.00000+ 1 3.00000+ 1 1.24396- 2 1.32400- 5 3.00000+ 1 3.20000+ 1 8.41238- 2 1.10160- 4 3.00000+ 1 3.30000+ 1 6.45660- 2 1.19810- 4 3.00000+ 1 3.50000+ 1 8.11510- 2 2.22260- 4 3.00000+ 1 3.60000+ 1 4.71231- 3 2.23410- 4 3.00000+ 1 4.10000+ 1 5.29215- 3 1.76540- 4 3.00000+ 1 4.30000+ 1 3.65618- 3 1.95740- 4 3.00000+ 1 4.40000+ 1 2.51483- 3 2.06240- 4 3.00000+ 1 5.80000+ 1 3.72349- 4 2.24240- 4 3.20000+ 1 3.20000+ 1 1.47238- 2 2.07080- 4 3.20000+ 1 3.30000+ 1 2.78280- 2 2.16730- 4 3.20000+ 1 3.50000+ 1 7.34220- 2 3.19180- 4 3.20000+ 1 3.60000+ 1 1.19763- 2 3.20330- 4 3.20000+ 1 4.10000+ 1 1.82516- 3 2.73460- 4 3.20000+ 1 4.30000+ 1 8.42379- 3 2.92660- 4 3.20000+ 1 4.40000+ 1 5.69518- 3 3.03160- 4 3.20000+ 1 5.80000+ 1 1.64805- 4 3.21160- 4 3.30000+ 1 3.30000+ 1 6.22644- 3 2.26380- 4 3.30000+ 1 3.50000+ 1 1.04873- 1 3.28830- 4 3.30000+ 1 3.60000+ 1 3.22309- 3 3.29980- 4 3.30000+ 1 4.10000+ 1 1.49555- 3 2.83110- 4 3.30000+ 1 4.30000+ 1 6.36687- 3 3.02310- 4 3.30000+ 1 4.40000+ 1 3.16213- 3 3.12810- 4 3.30000+ 1 5.80000+ 1 1.22086- 4 3.30810- 4 3.50000+ 1 3.50000+ 1 1.26813- 2 4.31280- 4 3.50000+ 1 3.60000+ 1 2.75059- 2 4.32430- 4 3.50000+ 1 4.10000+ 1 8.86000- 3 3.85560- 4 3.50000+ 1 4.30000+ 1 7.63713- 3 4.04760- 4 3.50000+ 1 4.40000+ 1 1.06673- 2 4.15260- 4 3.50000+ 1 5.80000+ 1 7.67865- 4 4.33260- 4 3.60000+ 1 3.60000+ 1 2.43979- 4 4.33580- 4 3.60000+ 1 4.10000+ 1 2.74481- 4 3.86710- 4 3.60000+ 1 4.30000+ 1 8.66144- 4 4.05910- 4 3.60000+ 1 4.40000+ 1 3.47686- 4 4.16410- 4 3.60000+ 1 5.80000+ 1 1.82989- 5 4.34410- 4 4.10000+ 1 4.10000+ 1 5.47530- 5 3.39840- 4 4.10000+ 1 4.30000+ 1 5.68052- 4 3.59040- 4 4.10000+ 1 4.40000+ 1 3.96944- 4 3.69540- 4 4.10000+ 1 5.80000+ 1 6.84412- 6 3.87540- 4 4.30000+ 1 4.30000+ 1 2.16893- 4 3.78240- 4 4.30000+ 1 4.40000+ 1 3.36542- 4 3.88740- 4 4.30000+ 1 5.80000+ 1 5.23506- 5 4.06740- 4 4.40000+ 1 4.40000+ 1 7.68612- 5 3.99240- 4 4.40000+ 1 5.80000+ 1 3.41580- 5 4.17240- 4 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 1.10089- 4 3.23240- 4 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 3.50000+ 1 5.69175- 3 7.90500- 5 2.70000+ 1 3.60000+ 1 5.30934- 2 8.02000- 5 2.70000+ 1 4.10000+ 1 2.20113- 3 3.33300- 5 2.70000+ 1 4.30000+ 1 2.56073- 3 5.25300- 5 2.70000+ 1 4.40000+ 1 3.10004- 3 6.30300- 5 2.70000+ 1 5.80000+ 1 1.36409- 4 8.10300- 5 2.90000+ 1 3.20000+ 1 5.36893- 3 3.22600- 5 2.90000+ 1 3.30000+ 1 1.01601- 2 4.19100- 5 2.90000+ 1 3.50000+ 1 6.62833- 4 1.44360- 4 2.90000+ 1 3.60000+ 1 4.76687- 2 1.45510- 4 2.90000+ 1 4.10000+ 1 2.92838- 3 9.86400- 5 2.90000+ 1 4.30000+ 1 6.86928- 4 1.17840- 4 2.90000+ 1 4.40000+ 1 1.28949- 3 1.28340- 4 2.90000+ 1 5.80000+ 1 2.41026- 4 1.46340- 4 3.00000+ 1 3.20000+ 1 1.27489- 1 9.71700- 5 3.00000+ 1 3.30000+ 1 2.74086- 1 1.06820- 4 3.00000+ 1 3.50000+ 1 1.43758- 2 2.09270- 4 3.00000+ 1 3.60000+ 1 9.34937- 2 2.10420- 4 3.00000+ 1 4.10000+ 1 1.09171- 2 1.63550- 4 3.00000+ 1 4.30000+ 1 3.80920- 3 1.82750- 4 3.00000+ 1 4.40000+ 1 9.90251- 3 1.93250- 4 3.00000+ 1 5.80000+ 1 8.42219- 4 2.11250- 4 3.20000+ 1 3.20000+ 1 2.66933- 3 1.94090- 4 3.20000+ 1 3.30000+ 1 2.70351- 2 2.03740- 4 3.20000+ 1 3.50000+ 1 2.06130- 3 3.06190- 4 3.20000+ 1 3.60000+ 1 7.36009- 2 3.07340- 4 3.20000+ 1 4.10000+ 1 1.25260- 3 2.60470- 4 3.20000+ 1 4.30000+ 1 1.24655- 3 2.79670- 4 3.20000+ 1 4.40000+ 1 5.11982- 3 2.90170- 4 3.20000+ 1 5.80000+ 1 1.03377- 4 3.08170- 4 3.30000+ 1 3.30000+ 1 1.81284- 2 2.13390- 4 3.30000+ 1 3.50000+ 1 1.06460- 2 3.15840- 4 3.30000+ 1 3.60000+ 1 1.00711- 1 3.16990- 4 3.30000+ 1 4.10000+ 1 2.09317- 3 2.70120- 4 3.30000+ 1 4.30000+ 1 2.45998- 3 2.89320- 4 3.30000+ 1 4.40000+ 1 1.07301- 2 2.99820- 4 3.30000+ 1 5.80000+ 1 1.80442- 4 3.17820- 4 3.50000+ 1 3.50000+ 1 1.54289- 4 4.18290- 4 3.50000+ 1 3.60000+ 1 2.19565- 2 4.19440- 4 3.50000+ 1 4.10000+ 1 2.49223- 4 3.72570- 4 3.50000+ 1 4.30000+ 1 5.93399- 5 3.91770- 4 3.50000+ 1 4.40000+ 1 9.31643- 4 4.02270- 4 3.50000+ 1 5.80000+ 1 1.78018- 5 4.20270- 4 3.60000+ 1 3.60000+ 1 1.82578- 2 4.20590- 4 3.60000+ 1 4.10000+ 1 8.84040- 3 3.73720- 4 3.60000+ 1 4.30000+ 1 7.35501- 3 3.92920- 4 3.60000+ 1 4.40000+ 1 1.11496- 2 4.03420- 4 3.60000+ 1 5.80000+ 1 7.63771- 4 4.21420- 4 4.10000+ 1 4.10000+ 1 4.69325- 5 3.26850- 4 4.10000+ 1 4.30000+ 1 2.54780- 4 3.46050- 4 4.10000+ 1 4.40000+ 1 5.83325- 4 3.56550- 4 4.10000+ 1 5.80000+ 1 6.70492- 6 3.74550- 4 4.30000+ 1 4.30000+ 1 2.79905- 5 3.65250- 4 4.30000+ 1 4.40000+ 1 1.74945- 4 3.75750- 4 4.30000+ 1 5.80000+ 1 2.09931- 5 3.93750- 4 4.40000+ 1 4.40000+ 1 2.41401- 4 3.86250- 4 4.40000+ 1 5.80000+ 1 5.45065- 5 4.04250- 4 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.37896- 6 6.53100- 5 3.00000+ 1 2.25034- 5 1.30220- 4 4.30000+ 1 3.16189- 6 3.12720- 4 4.40000+ 1 4.63655- 8 3.23220- 4 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.50000+ 1 4.02012- 2 5.79100- 5 2.90000+ 1 3.60000+ 1 6.65024- 2 5.90600- 5 2.90000+ 1 4.10000+ 1 2.28716- 2 1.21900- 5 2.90000+ 1 4.30000+ 1 1.52243- 2 3.13900- 5 2.90000+ 1 4.40000+ 1 2.74531- 2 4.18900- 5 2.90000+ 1 5.80000+ 1 1.91653- 3 5.98900- 5 3.00000+ 1 3.20000+ 1 2.01411- 1 1.07200- 5 3.00000+ 1 3.30000+ 1 1.83476- 1 2.03700- 5 3.00000+ 1 3.50000+ 1 8.71624- 2 1.22820- 4 3.00000+ 1 3.60000+ 1 8.20586- 2 1.23970- 4 3.00000+ 1 4.10000+ 1 2.00849- 2 7.71000- 5 3.00000+ 1 4.30000+ 1 1.99576- 2 9.63000- 5 3.00000+ 1 4.40000+ 1 1.74844- 2 1.06800- 4 3.00000+ 1 5.80000+ 1 1.72248- 3 1.24800- 4 3.20000+ 1 3.20000+ 1 1.65542- 3 1.07640- 4 3.20000+ 1 3.30000+ 1 1.20424- 1 1.17290- 4 3.20000+ 1 3.50000+ 1 2.37501- 3 2.19740- 4 3.20000+ 1 3.60000+ 1 8.07074- 3 2.20890- 4 3.20000+ 1 4.10000+ 1 6.32690- 3 1.74020- 4 3.20000+ 1 4.30000+ 1 1.23207- 3 1.93220- 4 3.20000+ 1 4.40000+ 1 5.03988- 3 2.03720- 4 3.20000+ 1 5.80000+ 1 4.45197- 4 2.21720- 4 3.30000+ 1 3.30000+ 1 2.78698- 2 1.26940- 4 3.30000+ 1 3.50000+ 1 8.72550- 3 2.29390- 4 3.30000+ 1 3.60000+ 1 5.87235- 3 2.30540- 4 3.30000+ 1 4.10000+ 1 8.34176- 3 1.83670- 4 3.30000+ 1 4.30000+ 1 3.68903- 3 2.02870- 4 3.30000+ 1 4.40000+ 1 3.08735- 3 2.13370- 4 3.30000+ 1 5.80000+ 1 5.85913- 4 2.31370- 4 3.50000+ 1 3.50000+ 1 1.65761- 5 3.31840- 4 3.50000+ 1 3.60000+ 1 6.15327- 4 3.32990- 4 3.50000+ 1 4.10000+ 1 1.61160- 3 2.86120- 4 3.50000+ 1 4.30000+ 1 1.35709- 4 3.05320- 4 3.50000+ 1 4.40000+ 1 4.92785- 4 3.15820- 4 3.50000+ 1 5.80000+ 1 1.03091- 4 3.33820- 4 3.60000+ 1 3.60000+ 1 9.66729- 5 3.34140- 4 3.60000+ 1 4.10000+ 1 1.96707- 3 2.87270- 4 3.60000+ 1 4.30000+ 1 3.46286- 4 3.06470- 4 3.60000+ 1 4.40000+ 1 2.89907- 4 3.16970- 4 3.60000+ 1 5.80000+ 1 1.25651- 4 3.34970- 4 4.10000+ 1 4.10000+ 1 5.53208- 4 2.40400- 4 4.10000+ 1 4.30000+ 1 6.48716- 4 2.59600- 4 4.10000+ 1 4.40000+ 1 9.25005- 4 2.70100- 4 4.10000+ 1 5.80000+ 1 8.38604- 5 2.88100- 4 4.30000+ 1 4.30000+ 1 6.16545- 5 2.78800- 4 4.30000+ 1 4.40000+ 1 3.50813- 4 2.89300- 4 4.30000+ 1 5.80000+ 1 4.34800- 5 3.07300- 4 4.40000+ 1 4.40000+ 1 1.67767- 4 2.99800- 4 4.40000+ 1 5.80000+ 1 7.07814- 5 3.17800- 4 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 5.53860- 5 1.61830- 4 4.10000+ 1 6.25260- 6 2.28210- 4 5.80000+ 1 6.42920- 7 2.75910- 4 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.50000+ 1 1.87702- 2 5.75100- 5 3.00000+ 1 3.60000+ 1 1.13503- 2 5.86600- 5 3.00000+ 1 4.10000+ 1 1.69900- 2 1.17900- 5 3.00000+ 1 4.30000+ 1 9.70027- 3 3.09900- 5 3.00000+ 1 4.40000+ 1 7.95723- 3 4.14900- 5 3.00000+ 1 5.80000+ 1 9.92045- 4 5.94900- 5 3.20000+ 1 3.20000+ 1 9.92049- 2 4.23300- 5 3.20000+ 1 3.30000+ 1 4.15149- 1 5.19800- 5 3.20000+ 1 3.50000+ 1 6.29385- 2 1.54430- 4 3.20000+ 1 3.60000+ 1 1.38820- 1 1.55580- 4 3.20000+ 1 4.10000+ 1 3.88144- 2 1.08710- 4 3.20000+ 1 4.30000+ 1 2.56967- 2 1.27910- 4 3.20000+ 1 4.40000+ 1 3.91710- 2 1.38410- 4 3.20000+ 1 5.80000+ 1 3.37661- 3 1.56410- 4 3.30000+ 1 3.30000+ 1 1.60498- 2 6.16300- 5 3.30000+ 1 3.50000+ 1 3.34359- 2 1.64080- 4 3.30000+ 1 3.60000+ 1 7.68244- 3 1.65230- 4 3.30000+ 1 4.10000+ 1 3.65978- 3 1.18360- 4 3.30000+ 1 4.30000+ 1 1.88653- 2 1.37560- 4 3.30000+ 1 4.40000+ 1 4.03697- 3 1.48060- 4 3.30000+ 1 5.80000+ 1 2.65862- 4 1.66060- 4 3.50000+ 1 3.50000+ 1 7.26394- 4 2.66530- 4 3.50000+ 1 3.60000+ 1 5.86787- 3 2.67680- 4 3.50000+ 1 4.10000+ 1 1.66420- 3 2.20810- 4 3.50000+ 1 4.30000+ 1 3.38815- 3 2.40010- 4 3.50000+ 1 4.40000+ 1 1.79516- 3 2.50510- 4 3.50000+ 1 5.80000+ 1 1.48227- 4 2.68510- 4 3.60000+ 1 3.60000+ 1 2.75940- 4 2.68830- 4 3.60000+ 1 4.10000+ 1 6.32756- 4 2.21960- 4 3.60000+ 1 4.30000+ 1 5.67009- 3 2.41160- 4 3.60000+ 1 4.40000+ 1 5.96258- 4 2.51660- 4 3.60000+ 1 5.80000+ 1 4.51591- 5 2.69660- 4 4.10000+ 1 4.10000+ 1 1.07385- 4 1.75090- 4 4.10000+ 1 4.30000+ 1 1.94929- 3 1.94290- 4 4.10000+ 1 4.40000+ 1 3.24640- 4 2.04790- 4 4.10000+ 1 5.80000+ 1 1.49839- 5 2.22790- 4 4.30000+ 1 4.30000+ 1 1.09429- 3 2.13490- 4 4.30000+ 1 4.40000+ 1 2.39539- 3 2.23990- 4 4.30000+ 1 5.80000+ 1 1.67823- 4 2.41990- 4 4.40000+ 1 4.40000+ 1 1.23961- 4 2.34490- 4 4.40000+ 1 5.80000+ 1 2.32994- 5 2.52490- 4 1 94000 0 7 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 7.11493- 7 9.69200- 5 3.30000+ 1 8.62113- 6 1.06570- 4 4.10000+ 1 3.68821- 6 1.63300- 4 5.80000+ 1 3.71131- 7 2.11000- 4 1 94000 0 9 2.44000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.50000+ 1 2.44730- 2 8.95200- 5 3.20000+ 1 3.60000+ 1 8.96672- 2 9.06700- 5 3.20000+ 1 4.10000+ 1 1.38523- 2 4.38000- 5 3.20000+ 1 4.30000+ 1 9.81552- 3 6.30000- 5 3.20000+ 1 4.40000+ 1 2.67920- 2 7.35000- 5 3.20000+ 1 5.80000+ 1 9.90566- 4 9.15000- 5 3.30000+ 1 3.30000+ 1 8.92438- 2 0.00000+ 0 3.30000+ 1 3.50000+ 1 2.73786- 1 9.91700- 5 3.30000+ 1 3.60000+ 1 2.40187- 1 1.00320- 4 3.30000+ 1 4.10000+ 1 6.06477- 2 5.34500- 5 3.30000+ 1 4.30000+ 1 6.13130- 2 7.26500- 5 3.30000+ 1 4.40000+ 1 6.43240- 2 8.31500- 5 3.30000+ 1 5.80000+ 1 5.33146- 3 1.01150- 4 3.50000+ 1 3.50000+ 1 2.31551- 4 2.01620- 4 3.50000+ 1 3.60000+ 1 7.01655- 3 2.02770- 4 3.50000+ 1 4.10000+ 1 2.35551- 3 1.55900- 4 3.50000+ 1 4.30000+ 1 6.53722- 4 1.75100- 4 3.50000+ 1 4.40000+ 1 5.66823- 3 1.85600- 4 3.50000+ 1 5.80000+ 1 9.34995- 5 2.03600- 4 3.60000+ 1 3.60000+ 1 2.27242- 3 2.03920- 4 3.60000+ 1 4.10000+ 1 4.41068- 3 1.57050- 4 3.60000+ 1 4.30000+ 1 3.27729- 3 1.76250- 4 3.60000+ 1 4.40000+ 1 6.76907- 3 1.86750- 4 3.60000+ 1 5.80000+ 1 2.40607- 4 2.04750- 4 4.10000+ 1 4.10000+ 1 3.01827- 4 1.10180- 4 4.10000+ 1 4.30000+ 1 4.80102- 4 1.29380- 4 4.10000+ 1 4.40000+ 1 2.00280- 3 1.39880- 4 4.10000+ 1 5.80000+ 1 4.15779- 5 1.57880- 4 4.30000+ 1 4.30000+ 1 1.18228- 6 1.48580- 4 4.30000+ 1 4.40000+ 1 1.74325- 3 1.59080- 4 4.30000+ 1 5.80000+ 1 2.18736- 5 1.77080- 4 4.40000+ 1 4.40000+ 1 1.81655- 3 1.69580- 4 4.40000+ 1 5.80000+ 1 1.64753- 4 1.87580- 4 1 95000 0 0 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 3.50000+ 1 3.00000+ 0 3.60000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 5.80000+ 1 2.00000+ 0 1 95000 0 0 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.25570- 1 3.00000+ 0 2.38270- 2 5.00000+ 0 2.30620- 2 6.00000+ 0 1.85270- 2 8.00000+ 0 6.10210- 3 1.00000+ 1 5.74160- 3 1.10000+ 1 4.68550- 3 1.30000+ 1 4.10360- 3 1.40000+ 1 3.89250- 3 1.60000+ 1 1.59520- 3 1.80000+ 1 1.42820- 3 1.90000+ 1 1.14700- 3 2.10000+ 1 8.77900- 4 2.20000+ 1 8.26680- 4 2.40000+ 1 4.71030- 4 2.50000+ 1 4.57170- 4 2.70000+ 1 3.62440- 4 2.90000+ 1 2.95060- 4 3.00000+ 1 2.25250- 4 3.20000+ 1 1.25290- 4 3.30000+ 1 1.14900- 4 3.50000+ 1 8.29000- 6 3.60000+ 1 7.00000- 6 4.10000+ 1 5.50600- 5 4.30000+ 1 3.51400- 5 4.40000+ 1 2.38900- 5 5.80000+ 1 5.49000- 6 1 95000 0 0 2.43000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.93380- 1 3.00000+ 0 4.88390- 2 5.00000+ 0 4.89270- 2 6.00000+ 0 2.97700- 2 8.00000+ 0 1.56380- 2 1.00000+ 1 1.55060- 2 1.10000+ 1 1.06310- 2 1.30000+ 1 1.04580- 2 1.40000+ 1 9.58350- 3 1.60000+ 1 5.43740- 3 1.80000+ 1 5.27430- 3 1.90000+ 1 3.76610- 3 2.10000+ 1 3.51470- 3 2.20000+ 1 3.24680- 3 2.40000+ 1 2.88190- 3 2.50000+ 1 2.79030- 3 2.70000+ 1 1.74490- 3 2.90000+ 1 1.61140- 3 3.00000+ 1 1.15960- 3 3.20000+ 1 9.35230- 4 3.30000+ 1 8.60190- 4 3.50000+ 1 4.23300- 4 3.60000+ 1 4.00000- 4 4.10000+ 1 4.12810- 4 4.30000+ 1 3.27360- 4 4.40000+ 1 2.14330- 4 5.80000+ 1 4.21800- 5 1 95000 0 0 2.43000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.87750-11 3.00000+ 0 2.83940-10 5.00000+ 0 2.28490-10 6.00000+ 0 2.84750-10 8.00000+ 0 7.39490-10 1.00000+ 1 6.92380-10 1.10000+ 1 7.93170-10 1.30000+ 1 6.81960-10 1.40000+ 1 7.11300-10 1.60000+ 1 1.59950- 9 1.80000+ 1 1.58520- 9 1.90000+ 1 1.78060- 9 2.10000+ 1 1.75280- 9 2.20000+ 1 1.80990- 9 2.40000+ 1 1.73080- 9 2.50000+ 1 1.75820- 9 2.70000+ 1 3.29010- 9 2.90000+ 1 3.40210- 9 3.00000+ 1 3.81870- 9 3.20000+ 1 4.22070- 9 3.30000+ 1 4.36360- 9 3.50000+ 1 6.51060- 9 3.60000+ 1 6.71920- 9 4.10000+ 1 7.24050- 9 4.30000+ 1 8.06300- 9 4.40000+ 1 9.39140- 9 5.80000+ 1 2.15480- 8 1 95000 0 0 2.43000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.04230- 4 3.00000+ 0 2.88470- 6 5.00000+ 0 5.04220- 6 6.00000+ 0 4.16960- 6 8.00000+ 0 1.35000- 7 1.00000+ 1 1.46150- 7 1.10000+ 1 1.64940- 7 1.30000+ 1 2.22040- 7 1.40000+ 1 2.03350- 7 1.60000+ 1 8.00140- 9 1.80000+ 1 9.93390- 9 1.90000+ 1 6.73940- 9 2.10000+ 1 4.51250- 9 2.20000+ 1 3.43060- 9 2.40000+ 1 1.73330-10 2.50000+ 1 1.55270-10 2.70000+ 1 5.83130-10 2.90000+ 1 1.11320- 9 3.00000+ 1 4.92600-10 1 95000 0 0 2.43000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.11370- 6 3.00000+ 0 1.33440- 5 5.00000+ 0 5.20260- 6 6.00000+ 0 4.55540- 6 8.00000+ 0 2.03340- 5 1.00000+ 1 1.53190- 5 1.10000+ 1 1.13240- 5 1.30000+ 1 3.70500- 6 1.40000+ 1 3.64390- 6 1.60000+ 1 1.44670- 5 1.80000+ 1 1.55580- 5 1.90000+ 1 9.81210- 6 2.10000+ 1 6.37190- 6 2.20000+ 1 6.86510- 6 2.40000+ 1 7.20700- 7 2.50000+ 1 5.01530- 7 2.70000+ 1 2.69630- 5 2.90000+ 1 1.09280- 5 3.00000+ 1 1.20850- 5 1 95000 0 0 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.32633- 4 3.00000+ 0 1.04198- 3 5.00000+ 0 7.68258- 4 6.00000+ 0 7.25896- 4 8.00000+ 0 8.00554- 4 1.00000+ 1 7.10414- 4 1.10000+ 1 6.16881- 4 1.30000+ 1 4.78747- 4 1.40000+ 1 4.68266- 4 1.60000+ 1 4.21810- 4 1.80000+ 1 4.04395- 4 1.90000+ 1 3.95683- 4 2.10000+ 1 3.13997- 4 2.20000+ 1 3.09842- 4 2.40000+ 1 1.83926- 4 2.50000+ 1 1.83460- 4 2.70000+ 1 2.06256- 4 2.90000+ 1 1.88001- 4 3.00000+ 1 1.30972- 4 3.20000+ 1 1.25290- 4 3.30000+ 1 1.14900- 4 3.50000+ 1 8.29000- 6 3.60000+ 1 7.00000- 6 4.10000+ 1 5.50600- 5 4.30000+ 1 3.51400- 5 4.40000+ 1 2.38900- 5 5.80000+ 1 5.49000- 6 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.46690+ 0 3.00000+ 0 6.20306- 1 5.00000+ 0 6.86609- 1 6.00000+ 0 5.58695- 1 8.00000+ 0 6.30834- 2 1.00000+ 1 6.48699- 2 1.10000+ 1 5.86417- 2 1.30000+ 1 6.68596- 2 1.40000+ 1 5.95695- 2 1.60000+ 1 2.08103- 3 1.80000+ 1 2.12999- 3 1.90000+ 1 1.49476- 3 2.10000+ 1 9.88793- 4 2.20000+ 1 8.35894- 4 2.40000+ 1 1.69824- 4 2.50000+ 1 1.48391- 4 2.70000+ 1 5.10875- 5 2.90000+ 1 7.34738- 5 3.00000+ 1 1.55740- 5 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.12944- 1 3.00000+ 0 8.95169- 3 5.00000+ 0 1.17561- 2 6.00000+ 0 7.60670- 3 8.00000+ 0 2.23747- 4 1.00000+ 1 2.32761- 4 1.10000+ 1 2.03637- 4 1.30000+ 1 2.37167- 4 1.40000+ 1 2.01550- 4 1.60000+ 1 1.54465- 6 1.80000+ 1 1.33625- 6 1.90000+ 1 9.32018- 7 2.10000+ 1 4.73477- 7 2.20000+ 1 3.81977- 7 2.40000+ 1 5.42805- 8 2.50000+ 1 4.75436- 8 2.70000+ 1 8.00660- 9 2.90000+ 1 1.30208- 8 3.00000+ 1 2.01848- 9 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.15143+ 0 3.00000+ 0 1.34456+ 1 5.00000+ 0 9.62874+ 0 6.00000+ 0 9.05703+ 0 8.00000+ 0 1.02111+ 1 1.00000+ 1 8.89519+ 0 1.10000+ 1 7.65875+ 0 1.30000+ 1 5.67928+ 0 1.40000+ 1 5.50729+ 0 1.60000+ 1 4.59021+ 0 1.80000+ 1 4.37406+ 0 1.90000+ 1 4.24836+ 0 2.10000+ 1 3.24357+ 0 2.20000+ 1 3.11915+ 0 2.40000+ 1 1.86720+ 0 2.50000+ 1 1.72253+ 0 2.70000+ 1 1.79860+ 0 2.90000+ 1 1.06914+ 0 3.00000+ 1 9.99984- 1 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.18932- 2 3.00000+ 0 1.38333- 2 5.00000+ 0 1.05376- 2 6.00000+ 0 1.01944- 2 8.00000+ 0 5.07780- 3 1.00000+ 1 4.79843- 3 1.10000+ 1 3.86498- 3 1.30000+ 1 3.38769- 3 1.40000+ 1 3.22268- 3 1.60000+ 1 1.17185- 3 1.80000+ 1 1.02247- 3 1.90000+ 1 7.50385- 4 2.10000+ 1 5.63430- 4 2.20000+ 1 5.16456- 4 2.40000+ 1 2.87049- 4 2.50000+ 1 2.73662- 4 2.70000+ 1 1.56176- 4 2.90000+ 1 1.07046- 4 3.00000+ 1 9.42757- 5 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.91941- 1 1.02508- 1 6.00000+ 0 4.59542- 1 1.07043- 1 1.00000+ 1 5.34292- 2 1.19828- 1 1.10000+ 1 1.04970- 1 1.20884- 1 1.30000+ 1 2.00261- 3 1.21466- 1 1.40000+ 1 2.23921- 3 1.21677- 1 1.80000+ 1 1.35051- 2 1.24142- 1 1.90000+ 1 2.76421- 2 1.24423- 1 2.10000+ 1 6.04272- 4 1.24692- 1 2.20000+ 1 6.78953- 4 1.24743- 1 2.90000+ 1 3.37061- 3 1.25275- 1 3.00000+ 1 6.80993- 3 1.25345- 1 3.20000+ 1 1.29851- 4 1.25445- 1 3.30000+ 1 1.44471- 4 1.25455- 1 4.30000+ 1 5.84722- 4 1.25535- 1 4.40000+ 1 1.07550- 3 1.25546- 1 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.74013- 3 7.79160- 2 3.00000+ 0 5.00000+ 0 7.11245- 3 7.86810- 2 3.00000+ 0 6.00000+ 0 2.42224- 3 8.32160- 2 3.00000+ 0 8.00000+ 0 1.56217- 3 9.56409- 2 3.00000+ 0 1.00000+ 1 1.56617- 3 9.60014- 2 3.00000+ 0 1.10000+ 1 6.07068- 4 9.70575- 2 3.00000+ 0 1.30000+ 1 5.33642- 5 9.76394- 2 3.00000+ 0 1.40000+ 1 3.20059- 5 9.78505- 2 3.00000+ 0 1.60000+ 1 4.19004- 4 1.00148- 1 3.00000+ 0 1.80000+ 1 4.13799- 4 1.00315- 1 3.00000+ 0 1.90000+ 1 1.62934- 4 1.00596- 1 3.00000+ 0 2.10000+ 1 1.61822- 5 1.00865- 1 3.00000+ 0 2.20000+ 1 9.55521- 6 1.00916- 1 3.00000+ 0 2.40000+ 1 5.47574- 8 1.01272- 1 3.00000+ 0 2.50000+ 1 5.47574- 8 1.01286- 1 3.00000+ 0 2.70000+ 1 1.10340- 4 1.01381- 1 3.00000+ 0 2.90000+ 1 1.03024- 4 1.01448- 1 3.00000+ 0 3.00000+ 1 4.00828- 5 1.01518- 1 3.00000+ 0 3.20000+ 1 3.44972- 6 1.01618- 1 3.00000+ 0 3.30000+ 1 1.99869- 6 1.01628- 1 5.00000+ 0 5.00000+ 0 2.32973- 4 7.94460- 2 5.00000+ 0 6.00000+ 0 3.83037- 3 8.39810- 2 5.00000+ 0 8.00000+ 0 1.32049- 3 9.64059- 2 5.00000+ 0 1.00000+ 1 9.13656- 5 9.67664- 2 5.00000+ 0 1.10000+ 1 8.20010- 4 9.78225- 2 5.00000+ 0 1.30000+ 1 5.35271- 5 9.84044- 2 5.00000+ 0 1.40000+ 1 1.16368- 4 9.86155- 2 5.00000+ 0 1.60000+ 1 3.44816- 4 1.00913- 1 5.00000+ 0 1.80000+ 1 2.36019- 5 1.01080- 1 5.00000+ 0 1.90000+ 1 2.11536- 4 1.01361- 1 5.00000+ 0 2.10000+ 1 1.54426- 5 1.01630- 1 5.00000+ 0 2.20000+ 1 3.38963- 5 1.01681- 1 5.00000+ 0 2.40000+ 1 5.20206- 7 1.02037- 1 5.00000+ 0 2.50000+ 1 7.39271- 7 1.02051- 1 5.00000+ 0 2.70000+ 1 9.01625- 5 1.02146- 1 5.00000+ 0 2.90000+ 1 5.83180- 6 1.02213- 1 5.00000+ 0 3.00000+ 1 5.15292- 5 1.02283- 1 5.00000+ 0 3.20000+ 1 3.25831- 6 1.02383- 1 5.00000+ 0 3.30000+ 1 7.09129- 6 1.02393- 1 6.00000+ 0 6.00000+ 0 1.52494- 3 8.85160- 2 6.00000+ 0 8.00000+ 0 3.97769- 4 1.00941- 1 6.00000+ 0 1.00000+ 1 6.98795- 4 1.01301- 1 6.00000+ 0 1.10000+ 1 6.72725- 4 1.02357- 1 6.00000+ 0 1.30000+ 1 1.23258- 4 1.02939- 1 6.00000+ 0 1.40000+ 1 9.67602- 5 1.03150- 1 6.00000+ 0 1.60000+ 1 1.00783- 4 1.05448- 1 6.00000+ 0 1.80000+ 1 1.76437- 4 1.05615- 1 6.00000+ 0 1.90000+ 1 1.74957- 4 1.05896- 1 6.00000+ 0 2.10000+ 1 3.61427- 5 1.06165- 1 6.00000+ 0 2.20000+ 1 2.83377- 5 1.06216- 1 6.00000+ 0 2.40000+ 1 7.11884- 7 1.06572- 1 6.00000+ 0 2.50000+ 1 7.66618- 7 1.06586- 1 6.00000+ 0 2.70000+ 1 2.61474- 5 1.06681- 1 6.00000+ 0 2.90000+ 1 4.34240- 5 1.06748- 1 6.00000+ 0 3.00000+ 1 4.27123- 5 1.06818- 1 6.00000+ 0 3.20000+ 1 7.63896- 6 1.06918- 1 6.00000+ 0 3.30000+ 1 5.91388- 6 1.06928- 1 8.00000+ 0 8.00000+ 0 1.61456- 4 1.13366- 1 8.00000+ 0 1.00000+ 1 2.92144- 4 1.13726- 1 8.00000+ 0 1.10000+ 1 1.00619- 4 1.14782- 1 8.00000+ 0 1.30000+ 1 8.57004- 6 1.15364- 1 8.00000+ 0 1.40000+ 1 4.84606- 6 1.15575- 1 8.00000+ 0 1.60000+ 1 8.64639- 5 1.17873- 1 8.00000+ 0 1.80000+ 1 7.72938- 5 1.18040- 1 8.00000+ 0 1.90000+ 1 2.70781- 5 1.18321- 1 8.00000+ 0 2.10000+ 1 2.60100- 6 1.18590- 1 8.00000+ 0 2.20000+ 1 1.45116- 6 1.18641- 1 8.00000+ 0 2.70000+ 1 2.27528- 5 1.19105- 1 8.00000+ 0 2.90000+ 1 1.92472- 5 1.19173- 1 8.00000+ 0 3.00000+ 1 6.68052- 6 1.19243- 1 8.00000+ 0 3.20000+ 1 5.47579- 7 1.19343- 1 8.00000+ 0 3.30000+ 1 3.01172- 7 1.19353- 1 1.00000+ 1 1.00000+ 1 8.37817- 6 1.14087- 1 1.00000+ 1 1.10000+ 1 1.54856- 4 1.15143- 1 1.00000+ 1 1.30000+ 1 9.14483- 6 1.15725- 1 1.00000+ 1 1.40000+ 1 1.56336- 5 1.15936- 1 1.00000+ 1 1.60000+ 1 7.63061- 5 1.18233- 1 1.00000+ 1 1.80000+ 1 4.24393- 6 1.18400- 1 1.00000+ 1 1.90000+ 1 4.02491- 5 1.18681- 1 1.00000+ 1 2.10000+ 1 2.68316- 6 1.18950- 1 1.00000+ 1 2.20000+ 1 4.62711- 6 1.19002- 1 1.00000+ 1 2.40000+ 1 5.47574- 8 1.19357- 1 1.00000+ 1 2.50000+ 1 8.21368- 8 1.19371- 1 1.00000+ 1 2.70000+ 1 1.99599- 5 1.19466- 1 1.00000+ 1 2.90000+ 1 1.04039- 6 1.19533- 1 1.00000+ 1 3.00000+ 1 9.82909- 6 1.19603- 1 1.00000+ 1 3.20000+ 1 5.74962- 7 1.19703- 1 1.00000+ 1 3.30000+ 1 9.58275- 7 1.19713- 1 1.10000+ 1 1.10000+ 1 7.51303- 5 1.16199- 1 1.10000+ 1 1.30000+ 1 2.22044- 5 1.16781- 1 1.10000+ 1 1.40000+ 1 1.67020- 5 1.16992- 1 1.10000+ 1 1.60000+ 1 2.55459- 5 1.19289- 1 1.10000+ 1 1.80000+ 1 3.93977- 5 1.19456- 1 1.10000+ 1 1.90000+ 1 3.91817- 5 1.19737- 1 1.10000+ 1 2.10000+ 1 6.59849- 6 1.20007- 1 1.10000+ 1 2.20000+ 1 4.95584- 6 1.20058- 1 1.10000+ 1 2.40000+ 1 1.09511- 7 1.20413- 1 1.10000+ 1 2.50000+ 1 1.09511- 7 1.20427- 1 1.10000+ 1 2.70000+ 1 6.62604- 6 1.20522- 1 1.10000+ 1 2.90000+ 1 9.71987- 6 1.20589- 1 1.10000+ 1 3.00000+ 1 9.58293- 6 1.20659- 1 1.10000+ 1 3.20000+ 1 1.39632- 6 1.20759- 1 1.10000+ 1 3.30000+ 1 1.04041- 6 1.20770- 1 1.30000+ 1 1.30000+ 1 5.47575- 8 1.17363- 1 1.30000+ 1 1.40000+ 1 2.32722- 6 1.17574- 1 1.30000+ 1 1.60000+ 1 2.16295- 6 1.19871- 1 1.30000+ 1 1.80000+ 1 2.29989- 6 1.20038- 1 1.30000+ 1 1.90000+ 1 5.50340- 6 1.20319- 1 1.30000+ 1 2.10000+ 1 2.73793- 8 1.20588- 1 1.30000+ 1 2.20000+ 1 6.57107- 7 1.20640- 1 1.30000+ 1 2.70000+ 1 5.74963- 7 1.21104- 1 1.30000+ 1 2.90000+ 1 5.74963- 7 1.21171- 1 1.30000+ 1 3.00000+ 1 1.34153- 6 1.21241- 1 1.30000+ 1 3.30000+ 1 1.36896- 7 1.21351- 1 1.40000+ 1 1.40000+ 1 5.74978- 7 1.17785- 1 1.40000+ 1 1.60000+ 1 1.20474- 6 1.20082- 1 1.40000+ 1 1.80000+ 1 3.66885- 6 1.20249- 1 1.40000+ 1 1.90000+ 1 4.10711- 6 1.20530- 1 1.40000+ 1 2.10000+ 1 6.57124- 7 1.20800- 1 1.40000+ 1 2.20000+ 1 3.28567- 7 1.20851- 1 1.40000+ 1 2.70000+ 1 3.01179- 7 1.21315- 1 1.40000+ 1 2.90000+ 1 8.76159- 7 1.21382- 1 1.40000+ 1 3.00000+ 1 9.85691- 7 1.21452- 1 1.40000+ 1 3.20000+ 1 1.36900- 7 1.21552- 1 1.40000+ 1 3.30000+ 1 5.47590- 8 1.21563- 1 1.60000+ 1 1.60000+ 1 1.15817- 5 1.22380- 1 1.60000+ 1 1.80000+ 1 2.01782- 5 1.22547- 1 1.60000+ 1 1.90000+ 1 6.87221- 6 1.22828- 1 1.60000+ 1 2.10000+ 1 6.57111- 7 1.23097- 1 1.60000+ 1 2.20000+ 1 3.55937- 7 1.23148- 1 1.60000+ 1 2.70000+ 1 6.10552- 6 1.23612- 1 1.60000+ 1 2.90000+ 1 5.03786- 6 1.23680- 1 1.60000+ 1 3.00000+ 1 1.69761- 6 1.23750- 1 1.60000+ 1 3.20000+ 1 1.36897- 7 1.23850- 1 1.60000+ 1 3.30000+ 1 8.21375- 8 1.23860- 1 1.80000+ 1 1.80000+ 1 5.47578- 7 1.22714- 1 1.80000+ 1 1.90000+ 1 1.02674- 5 1.22995- 1 1.80000+ 1 2.10000+ 1 6.84499- 7 1.23264- 1 1.80000+ 1 2.20000+ 1 1.09510- 6 1.23315- 1 1.80000+ 1 2.40000+ 1 2.73794- 8 1.23671- 1 1.80000+ 1 2.50000+ 1 2.73794- 8 1.23685- 1 1.80000+ 1 2.70000+ 1 5.28441- 6 1.23779- 1 1.80000+ 1 2.90000+ 1 2.73794- 7 1.23847- 1 1.80000+ 1 3.00000+ 1 2.49160- 6 1.23917- 1 1.80000+ 1 3.20000+ 1 1.36897- 7 1.24017- 1 1.80000+ 1 3.30000+ 1 2.19040- 7 1.24027- 1 1.90000+ 1 1.90000+ 1 5.12005- 6 1.23276- 1 1.90000+ 1 2.10000+ 1 1.64279- 6 1.23545- 1 1.90000+ 1 2.20000+ 1 1.20474- 6 1.23596- 1 1.90000+ 1 2.40000+ 1 2.73800- 8 1.23952- 1 1.90000+ 1 2.50000+ 1 2.73800- 8 1.23966- 1 1.90000+ 1 2.70000+ 1 1.77973- 6 1.24061- 1 1.90000+ 1 2.90000+ 1 2.51898- 6 1.24128- 1 1.90000+ 1 3.00000+ 1 2.49166- 6 1.24198- 1 1.90000+ 1 3.20000+ 1 3.55945- 7 1.24298- 1 1.90000+ 1 3.30000+ 1 2.46423- 7 1.24308- 1 2.10000+ 1 2.20000+ 1 1.96990- 7 1.23865- 1 2.10000+ 1 2.70000+ 1 1.68850- 7 1.24330- 1 2.10000+ 1 2.90000+ 1 1.68850- 7 1.24397- 1 2.10000+ 1 3.00000+ 1 3.94001- 7 1.24467- 1 2.10000+ 1 3.30000+ 1 2.81420- 8 1.24577- 1 2.20000+ 1 2.20000+ 1 5.47580- 8 1.23917- 1 2.20000+ 1 2.70000+ 1 8.21377- 8 1.24381- 1 2.20000+ 1 2.90000+ 1 2.73795- 7 1.24448- 1 2.20000+ 1 3.00000+ 1 3.01173- 7 1.24518- 1 2.20000+ 1 3.20000+ 1 2.73795- 8 1.24618- 1 2.20000+ 1 3.30000+ 1 2.73795- 8 1.24628- 1 2.70000+ 1 2.70000+ 1 7.82960- 7 1.24845- 1 2.70000+ 1 2.90000+ 1 1.29595- 6 1.24912- 1 2.70000+ 1 3.00000+ 1 4.32000- 7 1.24982- 1 2.70000+ 1 3.20000+ 1 2.69988- 8 1.25082- 1 2.70000+ 1 3.30000+ 1 2.69988- 8 1.25093- 1 2.90000+ 1 2.90000+ 1 2.63944- 8 1.24980- 1 2.90000+ 1 3.00000+ 1 6.07076- 7 1.25050- 1 2.90000+ 1 3.20000+ 1 2.63944- 8 1.25150- 1 2.90000+ 1 3.30000+ 1 5.27879- 8 1.25160- 1 3.00000+ 1 3.00000+ 1 3.10876- 7 1.25119- 1 3.00000+ 1 3.20000+ 1 8.47839- 8 1.25219- 1 3.00000+ 1 3.30000+ 1 5.65221- 8 1.25230- 1 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.32310- 5 7.65000- 4 6.00000+ 0 1.16860- 2 5.30000- 3 1.00000+ 1 6.30931- 2 1.80854- 2 1.10000+ 1 5.03610- 2 1.91415- 2 1.30000+ 1 3.12540- 3 1.97234- 2 1.40000+ 1 4.64670- 3 1.99345- 2 1.80000+ 1 1.72410- 2 2.23988- 2 1.90000+ 1 1.60490- 2 2.26800- 2 2.10000+ 1 5.47791- 4 2.29491- 2 2.20000+ 1 8.81091- 4 2.30003- 2 2.90000+ 1 4.33040- 3 2.35319- 2 3.00000+ 1 4.09540- 3 2.36017- 2 3.20000+ 1 1.03510- 4 2.37017- 2 3.30000+ 1 1.68120- 4 2.37121- 2 4.30000+ 1 7.54751- 4 2.37919- 2 4.40000+ 1 6.53921- 4 2.38031- 2 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.40000+ 1 1.22321- 2 2.93970- 4 5.00000+ 0 2.50000+ 1 1.64732- 2 3.07830- 4 5.00000+ 0 2.70000+ 1 5.36408- 3 4.02560- 4 5.00000+ 0 2.90000+ 1 4.44216- 3 4.69940- 4 5.00000+ 0 3.00000+ 1 3.36745- 3 5.39750- 4 5.00000+ 0 3.20000+ 1 9.20853- 4 6.39710- 4 5.00000+ 0 3.30000+ 1 1.14221- 3 6.50100- 4 6.00000+ 0 1.10000+ 1 3.41889- 2 6.14500- 4 6.00000+ 0 1.30000+ 1 1.99170- 1 1.19640- 3 6.00000+ 0 1.40000+ 1 2.37030- 1 1.40750- 3 6.00000+ 0 1.60000+ 1 1.65659- 2 3.70480- 3 6.00000+ 0 1.80000+ 1 6.43628- 3 3.87180- 3 6.00000+ 0 1.90000+ 1 8.79887- 3 4.15300- 3 6.00000+ 0 2.10000+ 1 3.26289- 2 4.42210- 3 6.00000+ 0 2.20000+ 1 3.71619- 2 4.47332- 3 6.00000+ 0 2.40000+ 1 1.86120- 2 4.82897- 3 6.00000+ 0 2.50000+ 1 2.26000- 2 4.84283- 3 6.00000+ 0 2.70000+ 1 4.10939- 3 4.93756- 3 6.00000+ 0 2.90000+ 1 1.58689- 3 5.00494- 3 6.00000+ 0 3.00000+ 1 2.14810- 3 5.07475- 3 6.00000+ 0 3.20000+ 1 6.24848- 3 5.17471- 3 6.00000+ 0 3.30000+ 1 6.96568- 3 5.18510- 3 8.00000+ 0 8.00000+ 0 5.68181- 3 1.16228- 2 8.00000+ 0 1.00000+ 1 1.20260- 2 1.19833- 2 8.00000+ 0 1.10000+ 1 1.61870- 2 1.30394- 2 8.00000+ 0 1.30000+ 1 1.12660- 2 1.36213- 2 8.00000+ 0 1.40000+ 1 1.33090- 2 1.38324- 2 8.00000+ 0 1.60000+ 1 2.60140- 3 1.61297- 2 8.00000+ 0 1.80000+ 1 3.15140- 3 1.62967- 2 8.00000+ 0 1.90000+ 1 4.24640- 3 1.65779- 2 8.00000+ 0 2.10000+ 1 2.81880- 3 1.68470- 2 8.00000+ 0 2.20000+ 1 3.32640- 3 1.68982- 2 8.00000+ 0 2.40000+ 1 2.61570- 4 1.72539- 2 8.00000+ 0 2.50000+ 1 2.65930- 4 1.72677- 2 8.00000+ 0 2.70000+ 1 6.65321- 4 1.73625- 2 8.00000+ 0 2.90000+ 1 7.81730- 4 1.74298- 2 8.00000+ 0 3.00000+ 1 1.03740- 3 1.74996- 2 8.00000+ 0 3.20000+ 1 5.76471- 4 1.75996- 2 8.00000+ 0 3.30000+ 1 6.72541- 4 1.76100- 2 1.00000+ 1 1.00000+ 1 1.19054- 5 1.23438- 2 1.00000+ 1 1.10000+ 1 2.22679- 4 1.33999- 2 1.00000+ 1 1.30000+ 1 7.79731- 4 1.39818- 2 1.00000+ 1 1.40000+ 1 5.24111- 3 1.41929- 2 1.00000+ 1 1.60000+ 1 2.18599- 3 1.64902- 2 1.00000+ 1 1.80000+ 1 1.34145- 6 1.66572- 2 1.00000+ 1 1.90000+ 1 4.64488- 5 1.69384- 2 1.00000+ 1 2.10000+ 1 1.61806- 4 1.72075- 2 1.00000+ 1 2.20000+ 1 8.51554- 4 1.72587- 2 1.00000+ 1 2.40000+ 1 1.01444- 4 1.76144- 2 1.00000+ 1 2.50000+ 1 3.46934- 4 1.76282- 2 1.00000+ 1 2.70000+ 1 5.24351- 4 1.77230- 2 1.00000+ 1 2.90000+ 1 3.35364- 7 1.77903- 2 1.00000+ 1 3.00000+ 1 1.07314- 5 1.78601- 2 1.00000+ 1 3.20000+ 1 3.21953- 5 1.79601- 2 1.00000+ 1 3.30000+ 1 1.57456- 4 1.79705- 2 1.10000+ 1 1.10000+ 1 7.82409- 4 1.44560- 2 1.10000+ 1 1.30000+ 1 1.41019- 3 1.50379- 2 1.10000+ 1 1.40000+ 1 8.83920- 4 1.52490- 2 1.10000+ 1 1.60000+ 1 2.83760- 3 1.75463- 2 1.10000+ 1 1.80000+ 1 6.01950- 5 1.77133- 2 1.10000+ 1 1.90000+ 1 3.22780- 4 1.79945- 2 1.10000+ 1 2.10000+ 1 1.72869- 4 1.82636- 2 1.10000+ 1 2.20000+ 1 7.93129- 5 1.83148- 2 1.10000+ 1 2.40000+ 1 1.00270- 4 1.86705- 2 1.10000+ 1 2.50000+ 1 8.90330- 5 1.86843- 2 1.10000+ 1 2.70000+ 1 6.74389- 4 1.87791- 2 1.10000+ 1 2.90000+ 1 1.49239- 5 1.88464- 2 1.10000+ 1 3.00000+ 1 7.47839- 5 1.89162- 2 1.10000+ 1 3.20000+ 1 3.06850- 5 1.90162- 2 1.10000+ 1 3.30000+ 1 1.27430- 5 1.90266- 2 1.30000+ 1 1.30000+ 1 6.23735- 4 1.56198- 2 1.30000+ 1 1.40000+ 1 1.68918- 2 1.58309- 2 1.30000+ 1 1.60000+ 1 1.75948- 3 1.81282- 2 1.30000+ 1 1.80000+ 1 2.36758- 4 1.82952- 2 1.30000+ 1 1.90000+ 1 3.86496- 4 1.85764- 2 1.30000+ 1 2.10000+ 1 3.04497- 4 1.88455- 2 1.30000+ 1 2.20000+ 1 2.95108- 3 1.88967- 2 1.30000+ 1 2.40000+ 1 2.51508- 4 1.92524- 2 1.30000+ 1 2.50000+ 1 6.78264- 4 1.92662- 2 1.30000+ 1 2.70000+ 1 4.06606- 4 1.93610- 2 1.30000+ 1 2.90000+ 1 6.06985- 5 1.94283- 2 1.30000+ 1 3.00000+ 1 9.64082- 5 1.94981- 2 1.30000+ 1 3.20000+ 1 6.20405- 5 1.95981- 2 1.30000+ 1 3.30000+ 1 5.51656- 4 1.96085- 2 1.40000+ 1 1.40000+ 1 4.56377- 3 1.60420- 2 1.40000+ 1 1.60000+ 1 2.11009- 3 1.83393- 2 1.40000+ 1 1.80000+ 1 1.20409- 3 1.85063- 2 1.40000+ 1 1.90000+ 1 2.26869- 4 1.87875- 2 1.40000+ 1 2.10000+ 1 2.80859- 3 1.90566- 2 1.40000+ 1 2.20000+ 1 1.68109- 3 1.91078- 2 1.40000+ 1 2.40000+ 1 7.41796- 4 1.94635- 2 1.40000+ 1 2.50000+ 1 5.44777- 4 1.94773- 2 1.40000+ 1 2.70000+ 1 4.91457- 4 1.95721- 2 1.40000+ 1 2.90000+ 1 2.90579- 4 1.96394- 2 1.40000+ 1 3.00000+ 1 5.63387- 5 1.97092- 2 1.40000+ 1 3.20000+ 1 5.24997- 4 1.98092- 2 1.40000+ 1 3.30000+ 1 3.18578- 4 1.98196- 2 1.60000+ 1 1.60000+ 1 2.81023- 4 2.06366- 2 1.60000+ 1 1.80000+ 1 5.73457- 4 2.08036- 2 1.60000+ 1 1.90000+ 1 7.48158- 4 2.10848- 2 1.60000+ 1 2.10000+ 1 4.44685- 4 2.13539- 2 1.60000+ 1 2.20000+ 1 5.28356- 4 2.14051- 2 1.60000+ 1 2.40000+ 1 3.48774- 5 2.17608- 2 1.60000+ 1 2.50000+ 1 3.33684- 5 2.17746- 2 1.60000+ 1 2.70000+ 1 1.41851- 4 2.18694- 2 1.60000+ 1 2.90000+ 1 1.42361- 4 2.19367- 2 1.60000+ 1 3.00000+ 1 1.82933- 4 2.20065- 2 1.60000+ 1 3.20000+ 1 9.12221- 5 2.21065- 2 1.60000+ 1 3.30000+ 1 1.06811- 4 2.21169- 2 1.80000+ 1 1.90000+ 1 1.25759- 5 2.12518- 2 1.80000+ 1 2.10000+ 1 4.51048- 5 2.15209- 2 1.80000+ 1 2.20000+ 1 2.04570- 4 2.15721- 2 1.80000+ 1 2.40000+ 1 1.45879- 5 2.19278- 2 1.80000+ 1 2.50000+ 1 5.68418- 5 2.19416- 2 1.80000+ 1 2.70000+ 1 1.37499- 4 2.20364- 2 1.80000+ 1 3.00000+ 1 2.85049- 6 2.21735- 2 1.80000+ 1 3.20000+ 1 8.71916- 6 2.22735- 2 1.80000+ 1 3.30000+ 1 3.80618- 5 2.22839- 2 1.90000+ 1 1.90000+ 1 3.20258- 5 2.15330- 2 1.90000+ 1 2.10000+ 1 4.61107- 5 2.18021- 2 1.90000+ 1 2.20000+ 1 2.07909- 5 2.18533- 2 1.90000+ 1 2.40000+ 1 2.49839- 5 2.22090- 2 1.90000+ 1 2.50000+ 1 2.11269- 5 2.22228- 2 1.90000+ 1 2.70000+ 1 1.77910- 4 2.23176- 2 1.90000+ 1 2.90000+ 1 3.18578- 6 2.23849- 2 1.90000+ 1 3.00000+ 1 1.47549- 5 2.24547- 2 1.90000+ 1 3.20000+ 1 8.04835- 6 2.25547- 2 1.90000+ 1 3.30000+ 1 3.35348- 6 2.25651- 2 2.10000+ 1 2.10000+ 1 3.42062- 5 2.20712- 2 2.10000+ 1 2.20000+ 1 5.37233- 4 2.21224- 2 2.10000+ 1 2.40000+ 1 4.27572- 5 2.24781- 2 2.10000+ 1 2.50000+ 1 8.63533- 5 2.24919- 2 2.10000+ 1 2.70000+ 1 1.02950- 4 2.25867- 2 2.10000+ 1 2.90000+ 1 1.14020- 5 2.26540- 2 2.10000+ 1 3.00000+ 1 1.15690- 5 2.27238- 2 2.10000+ 1 3.20000+ 1 1.37500- 5 2.28238- 2 2.10000+ 1 3.30000+ 1 1.02290- 4 2.28342- 2 2.20000+ 1 2.20000+ 1 1.66171- 4 2.21736- 2 2.20000+ 1 2.40000+ 1 1.02120- 4 2.25293- 2 2.20000+ 1 2.50000+ 1 8.26695- 5 2.25431- 2 2.20000+ 1 2.70000+ 1 1.22900- 4 2.26379- 2 2.20000+ 1 2.90000+ 1 4.98003- 5 2.27053- 2 2.20000+ 1 3.00000+ 1 5.36564- 6 2.27751- 2 2.20000+ 1 3.20000+ 1 1.02290- 4 2.28750- 2 2.20000+ 1 3.30000+ 1 6.38834- 5 2.28854- 2 2.40000+ 1 2.40000+ 1 1.34140- 6 2.28849- 2 2.40000+ 1 2.50000+ 1 2.28041- 5 2.28988- 2 2.40000+ 1 2.70000+ 1 7.88082- 6 2.29935- 2 2.40000+ 1 2.90000+ 1 3.18581- 6 2.30609- 2 2.40000+ 1 3.00000+ 1 6.03642- 6 2.31307- 2 2.40000+ 1 3.20000+ 1 8.04842- 6 2.32307- 2 2.40000+ 1 3.30000+ 1 1.81091- 5 2.32411- 2 2.50000+ 1 2.50000+ 1 4.69499- 6 2.29127- 2 2.50000+ 1 2.70000+ 1 7.37799- 6 2.30074- 2 2.50000+ 1 2.90000+ 1 1.25759- 5 2.30748- 2 2.50000+ 1 3.00000+ 1 5.03029- 6 2.31446- 2 2.50000+ 1 3.20000+ 1 1.52589- 5 2.32445- 2 2.50000+ 1 3.30000+ 1 1.50909- 5 2.32549- 2 2.70000+ 1 2.70000+ 1 1.79940- 5 2.31021- 2 2.70000+ 1 2.90000+ 1 3.46293- 5 2.31695- 2 2.70000+ 1 3.00000+ 1 4.39653- 5 2.32393- 2 2.70000+ 1 3.20000+ 1 2.13885- 5 2.33393- 2 2.70000+ 1 3.30000+ 1 2.51231- 5 2.33497- 2 2.90000+ 1 3.00000+ 1 6.93751- 7 2.33067- 2 2.90000+ 1 3.20000+ 1 2.25475- 6 2.34066- 2 2.90000+ 1 3.30000+ 1 9.53951- 6 2.34170- 2 3.00000+ 1 3.00000+ 1 2.00007- 6 2.33765- 2 3.00000+ 1 3.20000+ 1 2.40003- 6 2.34765- 2 3.00000+ 1 3.30000+ 1 1.00000- 6 2.34868- 2 3.20000+ 1 3.20000+ 1 1.34143- 6 2.35764- 2 3.20000+ 1 3.30000+ 1 1.96186- 5 2.35868- 2 3.30000+ 1 3.30000+ 1 6.32381- 6 2.35972- 2 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 5.30221- 5 4.53500- 3 8.00000+ 0 1.09160- 2 1.69599- 2 1.10000+ 1 5.95941- 4 1.83765- 2 1.30000+ 1 3.82371- 1 1.89584- 2 1.60000+ 1 3.00020- 3 2.14668- 2 1.90000+ 1 1.84320- 4 2.19150- 2 2.10000+ 1 8.90211- 2 2.21841- 2 2.40000+ 1 6.04531- 4 2.25910- 2 2.70000+ 1 7.94461- 4 2.26996- 2 3.00000+ 1 4.67431- 5 2.28367- 2 3.20000+ 1 1.80890- 2 2.29367- 2 3.50000+ 1 3.41661- 5 2.30537- 2 4.10000+ 1 1.60200- 4 2.30069- 2 4.40000+ 1 7.34441- 6 2.30381- 2 5.80000+ 1 1.48240- 5 2.30565- 2 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.30000+ 1 1.01287- 1 4.31400- 4 6.00000+ 0 1.40000+ 1 3.25610- 2 6.42500- 4 6.00000+ 0 1.60000+ 1 2.82731- 3 2.93980- 3 6.00000+ 0 1.80000+ 1 2.45144- 2 3.10680- 3 6.00000+ 0 1.90000+ 1 5.38188- 3 3.38800- 3 6.00000+ 0 2.10000+ 1 2.02654- 2 3.65710- 3 6.00000+ 0 2.20000+ 1 6.82511- 3 3.70832- 3 6.00000+ 0 2.40000+ 1 1.05111- 3 4.06397- 3 6.00000+ 0 2.50000+ 1 1.48625- 3 4.07783- 3 6.00000+ 0 2.70000+ 1 6.83552- 4 4.17256- 3 6.00000+ 0 2.90000+ 1 5.50389- 3 4.23994- 3 6.00000+ 0 3.00000+ 1 1.27383- 3 4.30975- 3 6.00000+ 0 3.20000+ 1 3.96074- 3 4.40971- 3 6.00000+ 0 3.30000+ 1 1.33863- 3 4.42010- 3 8.00000+ 0 8.00000+ 0 3.26405- 4 1.08578- 2 8.00000+ 0 1.00000+ 1 1.44852- 2 1.12183- 2 8.00000+ 0 1.10000+ 1 1.23688- 3 1.22744- 2 8.00000+ 0 1.30000+ 1 2.86268- 3 1.28563- 2 8.00000+ 0 1.40000+ 1 8.81501- 4 1.30674- 2 8.00000+ 0 1.60000+ 1 1.32834- 4 1.53647- 2 8.00000+ 0 1.80000+ 1 2.51075- 3 1.55317- 2 8.00000+ 0 1.90000+ 1 2.92554- 4 1.58129- 2 8.00000+ 0 2.10000+ 1 5.13542- 4 1.60820- 2 8.00000+ 0 2.20000+ 1 1.34392- 4 1.61332- 2 8.00000+ 0 2.40000+ 1 5.63399- 5 1.64889- 2 8.00000+ 0 2.50000+ 1 4.23842- 5 1.65027- 2 8.00000+ 0 2.70000+ 1 3.28215- 5 1.65975- 2 8.00000+ 0 2.90000+ 1 5.66999- 4 1.66648- 2 8.00000+ 0 3.00000+ 1 6.97791- 5 1.67346- 2 8.00000+ 0 3.20000+ 1 9.82048- 5 1.68346- 2 8.00000+ 0 3.30000+ 1 2.48097- 5 1.68450- 2 1.00000+ 1 1.00000+ 1 1.56378- 2 1.15788- 2 1.00000+ 1 1.10000+ 1 3.36155- 2 1.26349- 2 1.00000+ 1 1.30000+ 1 1.68160- 2 1.32168- 2 1.00000+ 1 1.40000+ 1 2.04930- 2 1.34279- 2 1.00000+ 1 1.60000+ 1 3.97881- 3 1.57252- 2 1.00000+ 1 1.80000+ 1 6.88986- 3 1.58922- 2 1.00000+ 1 1.90000+ 1 8.64042- 3 1.61734- 2 1.00000+ 1 2.10000+ 1 4.19433- 3 1.64425- 2 1.00000+ 1 2.20000+ 1 5.14861- 3 1.64937- 2 1.00000+ 1 2.40000+ 1 3.34413- 4 1.68494- 2 1.00000+ 1 2.50000+ 1 2.61528- 4 1.68632- 2 1.00000+ 1 2.70000+ 1 1.05256- 3 1.69580- 2 1.00000+ 1 2.90000+ 1 1.65397- 3 1.70253- 2 1.00000+ 1 3.00000+ 1 2.10213- 3 1.70951- 2 1.00000+ 1 3.20000+ 1 8.58262- 4 1.71951- 2 1.00000+ 1 3.30000+ 1 1.04303- 3 1.72055- 2 1.10000+ 1 1.10000+ 1 6.50989- 4 1.36910- 2 1.10000+ 1 1.30000+ 1 1.20418- 2 1.42729- 2 1.10000+ 1 1.40000+ 1 1.89947- 3 1.44840- 2 1.10000+ 1 1.60000+ 1 2.81954- 4 1.67813- 2 1.10000+ 1 1.80000+ 1 5.82753- 3 1.69483- 2 1.10000+ 1 1.90000+ 1 2.90477- 4 1.72295- 2 1.10000+ 1 2.10000+ 1 2.58203- 3 1.74986- 2 1.10000+ 1 2.20000+ 1 3.97467- 4 1.75498- 2 1.10000+ 1 2.40000+ 1 9.89818- 5 1.79055- 2 1.10000+ 1 2.50000+ 1 4.83275- 5 1.79193- 2 1.10000+ 1 2.70000+ 1 7.10682- 5 1.80141- 2 1.10000+ 1 2.90000+ 1 1.31432- 3 1.80814- 2 1.10000+ 1 3.00000+ 1 6.82272- 5 1.81512- 2 1.10000+ 1 3.20000+ 1 5.10907- 4 1.82512- 2 1.10000+ 1 3.30000+ 1 7.75307- 5 1.82616- 2 1.30000+ 1 1.30000+ 1 1.14230- 2 1.48548- 2 1.30000+ 1 1.40000+ 1 4.33571- 2 1.50659- 2 1.30000+ 1 1.60000+ 1 7.88511- 4 1.73632- 2 1.30000+ 1 1.80000+ 1 2.79602- 3 1.75302- 2 1.30000+ 1 1.90000+ 1 2.83270- 3 1.78114- 2 1.30000+ 1 2.10000+ 1 4.72812- 3 1.80805- 2 1.30000+ 1 2.20000+ 1 9.70246- 3 1.81317- 2 1.30000+ 1 2.40000+ 1 1.01854- 3 1.84874- 2 1.30000+ 1 2.50000+ 1 2.00916- 3 1.85012- 2 1.30000+ 1 2.70000+ 1 2.09342- 4 1.85960- 2 1.30000+ 1 2.90000+ 1 6.30836- 4 1.86633- 2 1.30000+ 1 3.00000+ 1 6.75011- 4 1.87331- 2 1.30000+ 1 3.20000+ 1 9.33982- 4 1.88331- 2 1.30000+ 1 3.30000+ 1 1.91838- 3 1.88435- 2 1.40000+ 1 1.40000+ 1 2.12128- 3 1.52770- 2 1.40000+ 1 1.60000+ 1 1.95110- 4 1.75743- 2 1.40000+ 1 1.80000+ 1 2.96785- 3 1.77413- 2 1.40000+ 1 1.90000+ 1 4.13483- 4 1.80225- 2 1.40000+ 1 2.10000+ 1 7.36897- 3 1.82916- 2 1.40000+ 1 2.20000+ 1 8.68332- 4 1.83428- 2 1.40000+ 1 2.40000+ 1 4.05213- 4 1.86985- 2 1.40000+ 1 2.50000+ 1 1.53506- 4 1.87123- 2 1.40000+ 1 2.70000+ 1 4.91009- 5 1.88071- 2 1.40000+ 1 2.90000+ 1 6.40894- 4 1.88744- 2 1.40000+ 1 3.00000+ 1 9.69075- 5 1.89442- 2 1.40000+ 1 3.20000+ 1 1.38911- 3 1.90442- 2 1.40000+ 1 3.30000+ 1 1.69268- 4 1.90546- 2 1.60000+ 1 1.60000+ 1 1.29214- 5 1.98716- 2 1.60000+ 1 1.80000+ 1 6.93146- 4 2.00386- 2 1.60000+ 1 1.90000+ 1 6.69325- 5 2.03198- 2 1.60000+ 1 2.10000+ 1 1.38780- 4 2.05889- 2 1.60000+ 1 2.20000+ 1 2.92036- 5 2.06401- 2 1.60000+ 1 2.40000+ 1 1.31793- 5 2.09958- 2 1.60000+ 1 2.50000+ 1 8.01155- 6 2.10096- 2 1.60000+ 1 2.70000+ 1 6.20267- 6 2.11044- 2 1.60000+ 1 2.90000+ 1 1.56615- 4 2.11717- 2 1.60000+ 1 3.00000+ 1 1.60234- 5 2.12415- 2 1.60000+ 1 3.20000+ 1 2.63605- 5 2.13415- 2 1.60000+ 1 3.30000+ 1 5.42690- 6 2.13519- 2 1.80000+ 1 1.80000+ 1 7.21800- 4 2.02056- 2 1.80000+ 1 1.90000+ 1 1.50417- 3 2.04868- 2 1.80000+ 1 2.10000+ 1 6.87707- 4 2.07559- 2 1.80000+ 1 2.20000+ 1 7.54122- 4 2.08071- 2 1.80000+ 1 2.40000+ 1 4.60016- 5 2.11628- 2 1.80000+ 1 2.50000+ 1 2.71351- 5 2.11766- 2 1.80000+ 1 2.70000+ 1 1.83499- 4 2.12714- 2 1.80000+ 1 2.90000+ 1 3.42681- 4 2.13387- 2 1.80000+ 1 3.00000+ 1 3.66208- 4 2.14085- 2 1.80000+ 1 3.20000+ 1 1.40327- 4 2.15085- 2 1.80000+ 1 3.30000+ 1 1.53258- 4 2.15189- 2 1.90000+ 1 1.90000+ 1 3.25626- 5 2.07680- 2 1.90000+ 1 2.10000+ 1 6.11173- 4 2.10371- 2 1.90000+ 1 2.20000+ 1 8.73502- 5 2.10883- 2 1.90000+ 1 2.40000+ 1 2.14499- 5 2.14440- 2 1.90000+ 1 2.50000+ 1 9.56218- 6 2.14578- 2 1.90000+ 1 2.70000+ 1 1.70568- 5 2.15526- 2 1.90000+ 1 2.90000+ 1 3.39589- 4 2.16199- 2 1.90000+ 1 3.00000+ 1 1.52481- 5 2.16897- 2 1.90000+ 1 3.20000+ 1 1.20954- 4 2.17897- 2 1.90000+ 1 3.30000+ 1 1.70568- 5 2.18001- 2 2.10000+ 1 2.10000+ 1 4.87677- 4 2.13062- 2 2.10000+ 1 2.20000+ 1 1.71988- 3 2.13574- 2 2.10000+ 1 2.40000+ 1 1.46019- 4 2.17131- 2 2.10000+ 1 2.50000+ 1 2.88407- 4 2.17269- 2 2.10000+ 1 2.70000+ 1 3.66977- 5 2.18217- 2 2.10000+ 1 2.90000+ 1 1.54289- 4 2.18890- 2 2.10000+ 1 3.00000+ 1 1.46019- 4 2.19588- 2 2.10000+ 1 3.20000+ 1 1.92538- 4 2.20588- 2 2.10000+ 1 3.30000+ 1 3.42681- 4 2.20692- 2 2.20000+ 1 2.20000+ 1 8.99347- 5 2.14086- 2 2.20000+ 1 2.40000+ 1 6.33164- 5 2.17643- 2 2.20000+ 1 2.50000+ 1 2.45509- 5 2.17781- 2 2.20000+ 1 2.70000+ 1 7.23634- 6 2.18729- 2 2.20000+ 1 2.90000+ 1 1.63329- 4 2.19403- 2 2.20000+ 1 3.00000+ 1 2.04157- 5 2.20101- 2 2.20000+ 1 3.20000+ 1 3.26930- 4 2.21100- 2 2.20000+ 1 3.30000+ 1 3.51479- 5 2.21204- 2 2.40000+ 1 2.40000+ 1 3.87657- 6 2.21199- 2 2.40000+ 1 2.50000+ 1 2.55853- 5 2.21338- 2 2.40000+ 1 2.70000+ 1 3.35970- 6 2.22285- 2 2.40000+ 1 2.90000+ 1 1.00793- 5 2.22959- 2 2.40000+ 1 3.00000+ 1 4.91029- 6 2.23657- 2 2.40000+ 1 3.20000+ 1 2.66196- 5 2.24657- 2 2.40000+ 1 3.30000+ 1 1.16294- 5 2.24761- 2 2.50000+ 1 2.50000+ 1 1.55060- 6 2.21477- 2 2.50000+ 1 2.70000+ 1 2.06756- 6 2.22424- 2 2.50000+ 1 2.90000+ 1 5.42698- 6 2.23098- 2 2.50000+ 1 3.00000+ 1 2.06756- 6 2.23796- 2 2.50000+ 1 3.20000+ 1 5.24609- 5 2.24795- 2 2.50000+ 1 3.30000+ 1 4.39346- 6 2.24899- 2 2.70000+ 1 2.70000+ 1 7.75317- 7 2.23371- 2 2.70000+ 1 2.90000+ 1 4.13498- 5 2.24045- 2 2.70000+ 1 3.00000+ 1 4.13498- 6 2.24743- 2 2.70000+ 1 3.20000+ 1 6.97789- 6 2.25743- 2 2.70000+ 1 3.30000+ 1 1.29214- 6 2.25847- 2 2.90000+ 1 2.90000+ 1 4.05736- 5 2.24719- 2 2.90000+ 1 3.00000+ 1 8.26986- 5 2.25417- 2 2.90000+ 1 3.20000+ 1 3.15286- 5 2.26416- 2 2.90000+ 1 3.30000+ 1 3.30796- 5 2.26520- 2 3.00000+ 1 3.00000+ 1 1.80902- 6 2.26115- 2 3.00000+ 1 3.20000+ 1 2.89450- 5 2.27115- 2 3.00000+ 1 3.30000+ 1 4.13499- 6 2.27218- 2 3.20000+ 1 3.20000+ 1 1.88745- 5 2.28114- 2 3.20000+ 1 3.30000+ 1 6.51557- 5 2.28218- 2 3.30000+ 1 3.30000+ 1 3.54721- 6 2.28322- 2 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 2.34888- 2 1.24249- 2 1.00000+ 1 3.05637- 4 1.27854- 2 1.10000+ 1 2.79528- 4 1.38415- 2 1.30000+ 1 3.68187- 2 1.44234- 2 1.40000+ 1 3.23237- 1 1.46345- 2 1.60000+ 1 6.03115- 3 1.69318- 2 1.80000+ 1 6.70724- 5 1.70988- 2 1.90000+ 1 7.70973- 5 1.73800- 2 2.10000+ 1 7.53124- 3 1.76491- 2 2.20000+ 1 6.92504- 2 1.77003- 2 2.40000+ 1 1.08639- 4 1.80560- 2 2.50000+ 1 5.96715- 4 1.80698- 2 2.70000+ 1 1.57649- 3 1.81646- 2 2.90000+ 1 1.60169- 5 1.82319- 2 3.00000+ 1 1.90638- 5 1.83017- 2 3.20000+ 1 1.48989- 3 1.84017- 2 3.30000+ 1 1.36969- 2 1.84121- 2 3.50000+ 1 6.11475- 6 1.85187- 2 3.60000+ 1 3.27207- 5 1.85200- 2 4.10000+ 1 3.24607- 4 1.84719- 2 4.30000+ 1 2.81398- 6 1.84919- 2 4.40000+ 1 3.03687- 6 1.85031- 2 5.80000+ 1 2.96457- 5 1.85215- 2 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 3.46075- 4 6.32280- 3 8.00000+ 0 1.00000+ 1 1.47050- 4 6.68330- 3 8.00000+ 0 1.10000+ 1 1.74403- 2 7.73940- 3 8.00000+ 0 1.30000+ 1 2.94764- 3 8.32130- 3 8.00000+ 0 1.40000+ 1 6.18979- 3 8.53240- 3 8.00000+ 0 1.60000+ 1 1.45196- 4 1.08297- 2 8.00000+ 0 1.80000+ 1 2.33793- 5 1.09967- 2 8.00000+ 0 1.90000+ 1 2.94083- 3 1.12779- 2 8.00000+ 0 2.10000+ 1 3.70064- 4 1.15470- 2 8.00000+ 0 2.20000+ 1 7.42890- 4 1.15982- 2 8.00000+ 0 2.40000+ 1 3.65448- 4 1.19539- 2 8.00000+ 0 2.50000+ 1 6.09717- 4 1.19677- 2 8.00000+ 0 2.70000+ 1 3.59924- 5 1.20625- 2 8.00000+ 0 2.90000+ 1 5.22934- 6 1.21298- 2 8.00000+ 0 3.00000+ 1 6.50297- 4 1.21996- 2 8.00000+ 0 3.20000+ 1 6.58327- 5 1.22996- 2 8.00000+ 0 3.30000+ 1 1.27974- 4 1.23100- 2 1.00000+ 1 1.00000+ 1 3.07629- 6 7.04380- 3 1.00000+ 1 1.10000+ 1 2.92143- 2 8.09990- 3 1.00000+ 1 1.30000+ 1 1.24464- 3 8.68180- 3 1.00000+ 1 1.40000+ 1 8.58621- 3 8.89290- 3 1.00000+ 1 1.60000+ 1 3.16851- 5 1.11902- 2 1.00000+ 1 1.80000+ 1 8.61353- 6 1.13572- 2 1.00000+ 1 1.90000+ 1 5.11270- 3 1.16384- 2 1.00000+ 1 2.10000+ 1 2.43641- 4 1.19075- 2 1.00000+ 1 2.20000+ 1 1.41203- 3 1.19587- 2 1.00000+ 1 2.40000+ 1 2.96858- 4 1.23144- 2 1.00000+ 1 2.50000+ 1 6.94642- 4 1.23282- 2 1.00000+ 1 2.70000+ 1 8.30607- 6 1.24230- 2 1.00000+ 1 2.90000+ 1 2.76872- 6 1.24903- 2 1.00000+ 1 3.00000+ 1 1.13978- 3 1.25601- 2 1.00000+ 1 3.20000+ 1 4.92203- 5 1.26601- 2 1.00000+ 1 3.30000+ 1 2.65174- 4 1.26705- 2 1.10000+ 1 1.10000+ 1 3.40122- 2 9.15600- 3 1.10000+ 1 1.30000+ 1 3.56643- 2 9.73790- 3 1.10000+ 1 1.40000+ 1 4.42557- 2 9.94900- 3 1.10000+ 1 1.60000+ 1 4.70126- 3 1.22463- 2 1.10000+ 1 1.80000+ 1 7.06007- 3 1.24133- 2 1.10000+ 1 1.90000+ 1 1.44908- 2 1.26945- 2 1.10000+ 1 2.10000+ 1 8.28426- 3 1.29636- 2 1.10000+ 1 2.20000+ 1 1.02513- 2 1.30148- 2 1.10000+ 1 2.40000+ 1 8.99801- 4 1.33705- 2 1.10000+ 1 2.50000+ 1 1.06104- 3 1.33843- 2 1.10000+ 1 2.70000+ 1 1.23721- 3 1.34791- 2 1.10000+ 1 2.90000+ 1 1.72477- 3 1.35464- 2 1.10000+ 1 3.00000+ 1 3.39856- 3 1.36162- 2 1.10000+ 1 3.20000+ 1 1.67377- 3 1.37162- 2 1.10000+ 1 3.30000+ 1 2.04346- 3 1.37266- 2 1.30000+ 1 1.30000+ 1 4.58094- 3 1.03198- 2 1.30000+ 1 1.40000+ 1 8.50818- 2 1.05309- 2 1.30000+ 1 1.60000+ 1 7.07225- 4 1.28282- 2 1.30000+ 1 1.80000+ 1 3.40848- 4 1.29952- 2 1.30000+ 1 1.90000+ 1 5.60238- 3 1.32764- 2 1.30000+ 1 2.10000+ 1 1.77477- 3 1.35455- 2 1.30000+ 1 2.20000+ 1 1.38444- 2 1.35967- 2 1.30000+ 1 2.40000+ 1 4.78375- 4 1.39524- 2 1.30000+ 1 2.50000+ 1 1.58734- 3 1.39662- 2 1.30000+ 1 2.70000+ 1 1.83662- 4 1.40610- 2 1.30000+ 1 2.90000+ 1 8.45975- 5 1.41283- 2 1.30000+ 1 3.00000+ 1 1.21794- 3 1.41981- 2 1.30000+ 1 3.20000+ 1 3.47319- 4 1.42981- 2 1.30000+ 1 3.30000+ 1 2.56745- 3 1.43085- 2 1.40000+ 1 1.40000+ 1 5.60192- 2 1.07420- 2 1.40000+ 1 1.60000+ 1 1.50065- 3 1.30393- 2 1.40000+ 1 1.80000+ 1 1.86365- 3 1.32063- 2 1.40000+ 1 1.90000+ 1 7.75519- 3 1.34875- 2 1.40000+ 1 2.10000+ 1 1.66045- 2 1.37566- 2 1.40000+ 1 2.20000+ 1 2.09557- 2 1.38078- 2 1.40000+ 1 2.40000+ 1 4.97840- 3 1.41635- 2 1.40000+ 1 2.50000+ 1 4.46220- 3 1.41773- 2 1.40000+ 1 2.70000+ 1 3.91918- 4 1.42721- 2 1.40000+ 1 2.90000+ 1 4.45757- 4 1.43394- 2 1.40000+ 1 3.00000+ 1 1.74371- 3 1.44092- 2 1.40000+ 1 3.20000+ 1 3.24091- 3 1.45092- 2 1.40000+ 1 3.30000+ 1 4.01713- 3 1.45196- 2 1.60000+ 1 1.60000+ 1 1.63035- 5 1.53366- 2 1.60000+ 1 1.80000+ 1 6.15203- 6 1.55036- 2 1.60000+ 1 1.90000+ 1 7.90558- 4 1.57848- 2 1.60000+ 1 2.10000+ 1 9.50517- 5 1.60539- 2 1.60000+ 1 2.20000+ 1 1.89183- 4 1.61051- 2 1.60000+ 1 2.40000+ 1 4.39887- 5 1.64608- 2 1.60000+ 1 2.50000+ 1 8.24391- 5 1.64746- 2 1.60000+ 1 2.70000+ 1 7.99781- 6 1.65694- 2 1.60000+ 1 2.90000+ 1 1.53803- 6 1.66367- 2 1.60000+ 1 3.00000+ 1 1.74734- 4 1.67065- 2 1.60000+ 1 3.20000+ 1 1.72268- 5 1.68065- 2 1.60000+ 1 3.30000+ 1 3.29140- 5 1.68169- 2 1.80000+ 1 1.90000+ 1 1.22442- 3 1.59518- 2 1.80000+ 1 2.10000+ 1 6.09103- 5 1.62209- 2 1.80000+ 1 2.20000+ 1 3.40841- 4 1.62721- 2 1.80000+ 1 2.40000+ 1 4.46062- 5 1.66278- 2 1.80000+ 1 2.50000+ 1 9.72080- 5 1.66416- 2 1.80000+ 1 2.70000+ 1 1.53809- 6 1.67364- 2 1.80000+ 1 3.00000+ 1 2.72246- 4 1.68735- 2 1.80000+ 1 3.20000+ 1 1.19976- 5 1.69735- 2 1.80000+ 1 3.30000+ 1 6.49122- 5 1.69839- 2 1.90000+ 1 1.90000+ 1 1.47069- 3 1.62330- 2 1.90000+ 1 2.10000+ 1 1.30744- 3 1.65021- 2 1.90000+ 1 2.20000+ 1 1.77429- 3 1.65533- 2 1.90000+ 1 2.40000+ 1 1.16589- 4 1.69090- 2 1.90000+ 1 2.50000+ 1 1.44583- 4 1.69228- 2 1.90000+ 1 2.70000+ 1 2.07948- 4 1.70176- 2 1.90000+ 1 2.90000+ 1 2.98705- 4 1.70849- 2 1.90000+ 1 3.00000+ 1 6.82317- 4 1.71547- 2 1.90000+ 1 3.20000+ 1 2.64240- 4 1.72547- 2 1.90000+ 1 3.30000+ 1 3.52848- 4 1.72651- 2 2.10000+ 1 2.10000+ 1 1.64275- 4 1.67712- 2 2.10000+ 1 2.20000+ 1 2.84370- 3 1.68224- 2 2.10000+ 1 2.40000+ 1 6.06016- 5 1.71781- 2 2.10000+ 1 2.50000+ 1 1.88264- 4 1.71919- 2 2.10000+ 1 2.70000+ 1 2.49185- 5 1.72867- 2 2.10000+ 1 2.90000+ 1 1.50732- 5 1.73540- 2 2.10000+ 1 3.00000+ 1 2.84557- 4 1.74238- 2 2.10000+ 1 3.20000+ 1 6.36811- 5 1.75238- 2 2.10000+ 1 3.30000+ 1 5.31898- 4 1.75342- 2 2.20000+ 1 2.20000+ 1 1.97367- 3 1.68736- 2 2.20000+ 1 2.40000+ 1 6.26604- 4 1.72293- 2 2.20000+ 1 2.50000+ 1 5.50337- 4 1.72431- 2 2.20000+ 1 2.70000+ 1 4.98345- 5 1.73379- 2 2.20000+ 1 2.90000+ 1 8.27512- 5 1.74053- 2 2.20000+ 1 3.00000+ 1 3.97447- 4 1.74751- 2 2.20000+ 1 3.20000+ 1 5.59865- 4 1.75750- 2 2.20000+ 1 3.30000+ 1 7.56749- 4 1.75854- 2 2.40000+ 1 2.40000+ 1 3.07626- 6 1.75849- 2 2.40000+ 1 2.50000+ 1 9.16712- 5 1.75988- 2 2.40000+ 1 2.70000+ 1 9.84378- 6 1.76935- 2 2.40000+ 1 2.90000+ 1 9.84378- 6 1.77609- 2 2.40000+ 1 3.00000+ 1 2.43016- 5 1.78307- 2 2.40000+ 1 3.20000+ 1 1.07664- 5 1.79307- 2 2.40000+ 1 3.30000+ 1 1.09815- 4 1.79411- 2 2.50000+ 1 2.50000+ 1 3.26071- 5 1.76127- 2 2.50000+ 1 2.70000+ 1 1.90728- 5 1.77074- 2 2.50000+ 1 2.90000+ 1 2.12250- 5 1.77748- 2 2.50000+ 1 3.00000+ 1 3.07625- 5 1.78446- 2 2.50000+ 1 3.20000+ 1 3.29149- 5 1.79445- 2 2.50000+ 1 3.30000+ 1 9.59757- 5 1.79549- 2 2.70000+ 1 2.70000+ 1 9.22881- 7 1.78021- 2 2.70000+ 1 2.90000+ 1 3.07624- 7 1.78695- 2 2.70000+ 1 3.00000+ 1 4.58353- 5 1.79393- 2 2.70000+ 1 3.20000+ 1 4.61431- 6 1.80393- 2 2.70000+ 1 3.30000+ 1 8.61339- 6 1.80497- 2 2.90000+ 1 3.00000+ 1 6.64453- 5 1.80067- 2 2.90000+ 1 3.20000+ 1 2.76865- 6 1.81066- 2 2.90000+ 1 3.30000+ 1 1.56883- 5 1.81170- 2 3.00000+ 1 3.00000+ 1 7.87510- 5 1.80765- 2 3.00000+ 1 3.20000+ 1 5.75274- 5 1.81765- 2 3.00000+ 1 3.30000+ 1 7.90597- 5 1.81868- 2 3.20000+ 1 3.20000+ 1 6.15243- 6 1.82764- 2 3.20000+ 1 3.30000+ 1 1.04907- 4 1.82868- 2 3.30000+ 1 3.30000+ 1 7.25994- 5 1.82972- 2 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.05590- 5 3.60500- 4 1.10000+ 1 1.48721- 3 1.41660- 3 1.80000+ 1 3.01061- 3 4.67390- 3 1.90000+ 1 1.38791- 3 4.95510- 3 2.90000+ 1 8.26514- 4 5.80704- 3 3.00000+ 1 4.48722- 4 5.87685- 3 4.30000+ 1 1.51531- 4 6.06696- 3 4.40000+ 1 7.61043- 5 6.07821- 3 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.70000+ 1 1.49539- 2 0.00000+ 0 1.00000+ 1 2.90000+ 1 1.61043- 2 6.54400- 5 1.00000+ 1 3.00000+ 1 1.85274- 2 1.35250- 4 1.00000+ 1 3.20000+ 1 1.07803- 2 2.35210- 4 1.00000+ 1 3.30000+ 1 1.37836- 2 2.45600- 4 1.00000+ 1 3.50000+ 1 6.83956- 4 3.52210- 4 1.00000+ 1 3.60000+ 1 8.45755- 4 3.53500- 4 1.00000+ 1 4.10000+ 1 2.86549- 3 3.05440- 4 1.00000+ 1 4.30000+ 1 2.51003- 3 3.25360- 4 1.00000+ 1 4.40000+ 1 2.56406- 3 3.36610- 4 1.00000+ 1 5.80000+ 1 2.42624- 4 3.55010- 4 1.10000+ 1 1.80000+ 1 5.46856- 2 0.00000+ 0 1.10000+ 1 1.90000+ 1 3.51362- 2 2.69600- 4 1.10000+ 1 2.10000+ 1 8.78464- 3 5.38700- 4 1.10000+ 1 2.20000+ 1 2.47654- 2 5.89920- 4 1.10000+ 1 2.40000+ 1 1.97358- 1 9.45570- 4 1.10000+ 1 2.50000+ 1 2.36495- 1 9.59430- 4 1.10000+ 1 2.70000+ 1 1.12192- 2 1.05416- 3 1.10000+ 1 2.90000+ 1 1.16370- 2 1.12154- 3 1.10000+ 1 3.00000+ 1 8.43224- 3 1.19135- 3 1.10000+ 1 3.20000+ 1 2.13065- 3 1.29131- 3 1.10000+ 1 3.30000+ 1 5.41367- 3 1.30170- 3 1.10000+ 1 3.50000+ 1 6.38714- 3 1.40831- 3 1.10000+ 1 3.60000+ 1 7.23610- 3 1.40960- 3 1.10000+ 1 4.10000+ 1 2.16129- 3 1.36154- 3 1.10000+ 1 4.30000+ 1 1.86409- 3 1.38146- 3 1.10000+ 1 4.40000+ 1 1.20317- 3 1.39271- 3 1.10000+ 1 5.80000+ 1 1.83494- 4 1.41111- 3 1.30000+ 1 1.60000+ 1 2.61996- 2 4.03300- 4 1.30000+ 1 1.80000+ 1 5.42423- 3 5.70300- 4 1.30000+ 1 1.90000+ 1 1.00966- 2 8.51500- 4 1.30000+ 1 2.10000+ 1 8.75701- 3 1.12060- 3 1.30000+ 1 2.20000+ 1 1.02080- 2 1.17182- 3 1.30000+ 1 2.40000+ 1 9.98017- 3 1.52747- 3 1.30000+ 1 2.50000+ 1 9.56693- 3 1.54133- 3 1.30000+ 1 2.70000+ 1 4.23017- 3 1.63606- 3 1.30000+ 1 2.90000+ 1 1.05454- 3 1.70344- 3 1.30000+ 1 3.00000+ 1 1.80396- 3 1.77325- 3 1.30000+ 1 3.20000+ 1 1.43726- 3 1.87321- 3 1.30000+ 1 3.30000+ 1 1.82138- 3 1.88360- 3 1.30000+ 1 3.50000+ 1 3.45149- 4 1.99021- 3 1.30000+ 1 3.60000+ 1 2.96199- 4 1.99150- 3 1.30000+ 1 4.10000+ 1 7.48513- 4 1.94344- 3 1.30000+ 1 4.30000+ 1 1.66286- 4 1.96336- 3 1.30000+ 1 4.40000+ 1 2.45666- 4 1.97461- 3 1.30000+ 1 5.80000+ 1 6.27069- 5 1.99301- 3 1.40000+ 1 1.60000+ 1 3.54127- 2 6.14400- 4 1.40000+ 1 1.80000+ 1 8.18040- 4 7.81400- 4 1.40000+ 1 1.90000+ 1 1.22673- 2 1.06260- 3 1.40000+ 1 2.10000+ 1 1.17996- 2 1.33170- 3 1.40000+ 1 2.20000+ 1 1.58585- 2 1.38292- 3 1.40000+ 1 2.40000+ 1 1.21369- 2 1.73857- 3 1.40000+ 1 2.50000+ 1 1.77889- 2 1.75243- 3 1.40000+ 1 2.70000+ 1 5.61549- 3 1.84716- 3 1.40000+ 1 2.90000+ 1 2.37583- 4 1.91454- 3 1.40000+ 1 3.00000+ 1 2.15164- 3 1.98435- 3 1.40000+ 1 3.20000+ 1 2.15782- 3 2.08431- 3 1.40000+ 1 3.30000+ 1 2.73049- 3 2.09470- 3 1.40000+ 1 3.50000+ 1 3.91561- 4 2.20131- 3 1.40000+ 1 3.60000+ 1 5.67918- 4 2.20260- 3 1.40000+ 1 4.10000+ 1 9.89501- 4 2.15454- 3 1.40000+ 1 4.30000+ 1 4.10080- 5 2.17446- 3 1.40000+ 1 4.40000+ 1 2.92880- 4 2.18571- 3 1.40000+ 1 5.80000+ 1 8.28110- 5 2.20411- 3 1.60000+ 1 1.60000+ 1 2.13245- 3 2.91170- 3 1.60000+ 1 1.80000+ 1 3.81182- 3 3.07870- 3 1.60000+ 1 1.90000+ 1 5.79958- 3 3.35990- 3 1.60000+ 1 2.10000+ 1 7.06170- 3 3.62900- 3 1.60000+ 1 2.20000+ 1 9.71470- 3 3.68022- 3 1.60000+ 1 2.40000+ 1 5.36741- 3 4.03587- 3 1.60000+ 1 2.50000+ 1 6.60126- 3 4.04973- 3 1.60000+ 1 2.70000+ 1 9.03026- 4 4.14446- 3 1.60000+ 1 2.90000+ 1 9.40840- 4 4.21184- 3 1.60000+ 1 3.00000+ 1 1.40969- 3 4.28165- 3 1.60000+ 1 3.20000+ 1 1.40373- 3 4.38161- 3 1.60000+ 1 3.30000+ 1 1.91144- 3 4.39200- 3 1.60000+ 1 3.50000+ 1 2.43805- 4 4.49861- 3 1.60000+ 1 3.60000+ 1 2.85741- 4 4.49990- 3 1.60000+ 1 4.10000+ 1 1.72236- 4 4.45184- 3 1.60000+ 1 4.30000+ 1 1.54921- 4 4.47176- 3 1.60000+ 1 4.40000+ 1 2.03324- 4 4.48301- 3 1.60000+ 1 5.80000+ 1 1.45527- 5 4.50141- 3 1.80000+ 1 1.80000+ 1 1.38116- 4 3.24570- 3 1.80000+ 1 1.90000+ 1 4.74412- 4 3.52690- 3 1.80000+ 1 2.10000+ 1 2.20662- 4 3.79600- 3 1.80000+ 1 2.20000+ 1 9.16780- 5 3.84722- 3 1.80000+ 1 2.40000+ 1 1.82568- 5 4.20287- 3 1.80000+ 1 2.50000+ 1 5.15152- 4 4.21673- 3 1.80000+ 1 2.70000+ 1 6.00863- 4 4.31146- 3 1.80000+ 1 2.90000+ 1 4.80224- 5 4.37884- 3 1.80000+ 1 3.00000+ 1 7.80505- 5 4.44865- 3 1.80000+ 1 3.20000+ 1 3.69096- 5 4.54861- 3 1.80000+ 1 3.30000+ 1 2.34156- 5 4.55900- 3 1.80000+ 1 3.50000+ 1 3.96870- 7 4.66561- 3 1.80000+ 1 3.60000+ 1 1.40225- 5 4.66690- 3 1.80000+ 1 4.10000+ 1 1.06232- 4 4.61884- 3 1.80000+ 1 4.30000+ 1 7.40840- 6 4.63876- 3 1.80000+ 1 4.40000+ 1 1.04510- 5 4.65001- 3 1.80000+ 1 5.80000+ 1 8.86358- 6 4.66841- 3 1.90000+ 1 1.90000+ 1 4.03896- 4 3.80810- 3 1.90000+ 1 2.10000+ 1 6.76424- 4 4.07720- 3 1.90000+ 1 2.20000+ 1 1.47230- 3 4.12842- 3 1.90000+ 1 2.40000+ 1 1.01862- 3 4.48407- 3 1.90000+ 1 2.50000+ 1 1.42215- 3 4.49793- 3 1.90000+ 1 2.70000+ 1 9.19317- 4 4.59266- 3 1.90000+ 1 2.90000+ 1 1.00808- 4 4.66004- 3 1.90000+ 1 3.00000+ 1 1.66685- 4 4.72985- 3 1.90000+ 1 3.20000+ 1 1.29776- 4 4.82981- 3 1.90000+ 1 3.30000+ 1 2.74509- 4 4.84020- 3 1.90000+ 1 3.50000+ 1 4.35242- 5 4.94681- 3 1.90000+ 1 3.60000+ 1 5.26537- 5 4.94810- 3 1.90000+ 1 4.10000+ 1 1.62983- 4 4.90004- 3 1.90000+ 1 4.30000+ 1 1.61392- 5 4.91996- 3 1.90000+ 1 4.40000+ 1 2.34156- 5 4.93121- 3 1.90000+ 1 5.80000+ 1 1.36264- 5 4.94961- 3 2.10000+ 1 2.10000+ 1 9.73669- 5 4.34630- 3 2.10000+ 1 2.20000+ 1 2.07038- 4 4.39752- 3 2.10000+ 1 2.40000+ 1 4.34983- 4 4.75317- 3 2.10000+ 1 2.50000+ 1 2.42753- 3 4.76703- 3 2.10000+ 1 2.70000+ 1 1.08560- 3 4.86176- 3 2.10000+ 1 2.90000+ 1 3.30733- 5 4.92914- 3 2.10000+ 1 3.00000+ 1 1.23298- 4 4.99895- 3 2.10000+ 1 3.20000+ 1 3.02950- 5 5.09891- 3 2.10000+ 1 3.30000+ 1 3.45292- 5 5.10930- 3 2.10000+ 1 3.50000+ 1 1.77274- 5 5.21591- 3 2.10000+ 1 3.60000+ 1 7.60682- 5 5.21720- 3 2.10000+ 1 4.10000+ 1 1.90638- 4 5.16914- 3 2.10000+ 1 4.30000+ 1 4.89477- 6 5.18906- 3 2.10000+ 1 4.40000+ 1 1.68018- 5 5.20031- 3 2.10000+ 1 5.80000+ 1 1.58754- 5 5.21871- 3 2.20000+ 1 2.20000+ 1 2.05980- 4 4.44874- 3 2.20000+ 1 2.40000+ 1 2.09920- 3 4.80439- 3 2.20000+ 1 2.50000+ 1 1.40661- 3 4.81825- 3 2.20000+ 1 2.70000+ 1 1.48422- 3 4.91298- 3 2.20000+ 1 2.90000+ 1 1.58752- 5 4.98036- 3 2.20000+ 1 3.00000+ 1 2.63657- 4 5.05017- 3 2.20000+ 1 3.20000+ 1 2.98984- 5 5.15013- 3 2.20000+ 1 3.30000+ 1 6.62800- 5 5.16052- 3 2.20000+ 1 3.50000+ 1 6.69408- 5 5.26713- 3 2.20000+ 1 3.60000+ 1 4.80216- 5 5.26842- 3 2.20000+ 1 4.10000+ 1 2.60213- 4 5.22036- 3 2.20000+ 1 4.30000+ 1 2.51348- 6 5.24028- 3 2.20000+ 1 4.40000+ 1 3.57189- 5 5.25153- 3 2.20000+ 1 5.80000+ 1 2.16956- 5 5.26993- 3 2.40000+ 1 2.40000+ 1 6.06935- 4 5.16004- 3 2.40000+ 1 2.50000+ 1 3.95680- 3 5.17390- 3 2.40000+ 1 2.70000+ 1 7.51954- 4 5.26863- 3 2.40000+ 1 2.90000+ 1 4.76246- 6 5.33601- 3 2.40000+ 1 3.00000+ 1 1.29386- 4 5.40582- 3 2.40000+ 1 3.20000+ 1 7.68582- 5 5.50578- 3 2.40000+ 1 3.30000+ 1 4.27434- 4 5.51617- 3 2.40000+ 1 3.50000+ 1 4.97402- 5 5.62278- 3 2.40000+ 1 3.60000+ 1 1.30311- 4 5.62407- 3 2.40000+ 1 4.10000+ 1 1.29903- 4 5.57601- 3 2.40000+ 1 4.30000+ 1 7.93729- 7 5.59593- 3 2.40000+ 1 4.40000+ 1 1.64046- 5 5.60718- 3 2.40000+ 1 5.80000+ 1 1.08489- 5 5.62558- 3 2.50000+ 1 2.50000+ 1 1.36482- 3 5.18776- 3 2.50000+ 1 2.70000+ 1 9.22474- 4 5.28249- 3 2.50000+ 1 2.90000+ 1 1.09006- 4 5.34987- 3 2.50000+ 1 3.00000+ 1 1.93145- 4 5.41968- 3 2.50000+ 1 3.20000+ 1 4.78498- 4 5.51964- 3 2.50000+ 1 3.30000+ 1 2.67093- 4 5.53003- 3 2.50000+ 1 3.50000+ 1 1.34014- 4 5.63664- 3 2.50000+ 1 3.60000+ 1 9.89556- 5 5.63793- 3 2.50000+ 1 4.10000+ 1 1.59280- 4 5.58987- 3 2.50000+ 1 4.30000+ 1 1.73302- 5 5.60979- 3 2.50000+ 1 4.40000+ 1 2.48702- 5 5.62104- 3 2.50000+ 1 5.80000+ 1 1.32292- 5 5.63944- 3 2.70000+ 1 2.70000+ 1 8.75738- 5 5.37722- 3 2.70000+ 1 2.90000+ 1 1.50013- 4 5.44460- 3 2.70000+ 1 3.00000+ 1 2.23174- 4 5.51441- 3 2.70000+ 1 3.20000+ 1 2.17481- 4 5.61437- 3 2.70000+ 1 3.30000+ 1 2.94345- 4 5.62476- 3 2.70000+ 1 3.50000+ 1 3.42627- 5 5.73137- 3 2.70000+ 1 3.60000+ 1 4.00841- 5 5.73266- 3 2.70000+ 1 4.10000+ 1 3.28078- 5 5.68460- 3 2.70000+ 1 4.30000+ 1 2.47385- 5 5.70452- 3 2.70000+ 1 4.40000+ 1 3.21471- 5 5.71577- 3 2.70000+ 1 5.80000+ 1 2.77806- 6 5.73417- 3 2.90000+ 1 2.90000+ 1 4.10100- 6 5.51198- 3 2.90000+ 1 3.00000+ 1 1.60066- 5 5.58179- 3 2.90000+ 1 3.20000+ 1 5.55596- 6 5.68175- 3 2.90000+ 1 3.30000+ 1 4.36559- 6 5.69214- 3 2.90000+ 1 3.50000+ 1 1.32291- 7 5.79875- 3 2.90000+ 1 3.60000+ 1 3.17494- 6 5.80004- 3 2.90000+ 1 4.10000+ 1 2.65907- 5 5.75198- 3 2.90000+ 1 4.30000+ 1 1.19066- 6 5.77190- 3 2.90000+ 1 4.40000+ 1 2.11662- 6 5.78315- 3 2.90000+ 1 5.80000+ 1 2.24897- 6 5.80155- 3 3.00000+ 1 3.00000+ 1 1.64050- 5 5.65160- 3 3.00000+ 1 3.20000+ 1 2.38128- 5 5.75156- 3 3.00000+ 1 3.30000+ 1 4.96101- 5 5.76195- 3 3.00000+ 1 3.50000+ 1 5.55610- 6 5.86856- 3 3.00000+ 1 3.60000+ 1 7.01171- 6 5.86985- 3 3.00000+ 1 4.10000+ 1 3.95560- 5 5.82179- 3 3.00000+ 1 4.30000+ 1 2.51354- 6 5.84171- 3 3.00000+ 1 4.40000+ 1 4.49797- 6 5.85296- 3 3.00000+ 1 5.80000+ 1 3.30737- 6 5.87136- 3 3.20000+ 1 3.20000+ 1 2.11663- 6 5.85152- 3 3.20000+ 1 3.30000+ 1 5.02708- 6 5.86191- 3 3.20000+ 1 3.50000+ 1 3.17496- 6 5.96852- 3 3.20000+ 1 3.60000+ 1 1.57429- 5 5.96981- 3 3.20000+ 1 4.10000+ 1 3.82327- 5 5.92175- 3 3.20000+ 1 4.30000+ 1 7.93733- 7 5.94167- 3 3.20000+ 1 4.40000+ 1 3.30730- 6 5.95292- 3 3.20000+ 1 5.80000+ 1 3.17496- 6 5.97132- 3 3.30000+ 1 3.30000+ 1 5.15931- 6 5.87230- 3 3.30000+ 1 3.50000+ 1 1.42880- 5 5.97891- 3 3.30000+ 1 3.60000+ 1 9.26010- 6 5.98020- 3 3.30000+ 1 4.10000+ 1 5.17234- 5 5.93214- 3 3.30000+ 1 4.30000+ 1 6.61437- 7 5.95206- 3 3.30000+ 1 4.40000+ 1 6.74662- 6 5.96331- 3 3.30000+ 1 5.80000+ 1 4.36559- 6 5.98171- 3 3.50000+ 1 3.50000+ 1 8.22302- 7 6.08552- 3 3.50000+ 1 3.60000+ 1 4.79679- 6 6.08681- 3 3.50000+ 1 4.10000+ 1 6.16752- 6 6.03875- 3 3.50000+ 1 4.40000+ 1 6.85249- 7 6.06992- 3 3.50000+ 1 5.80000+ 1 5.48195- 7 6.08832- 3 3.60000+ 1 3.60000+ 1 1.66832- 6 6.08810- 3 3.60000+ 1 4.10000+ 1 7.22943- 6 6.04004- 3 3.60000+ 1 4.30000+ 1 5.56079- 7 6.05996- 3 3.60000+ 1 4.40000+ 1 9.73143- 7 6.07121- 3 3.60000+ 1 5.80000+ 1 5.56079- 7 6.08961- 3 4.10000+ 1 4.10000+ 1 3.50401- 6 5.99198- 3 4.10000+ 1 4.30000+ 1 5.02749- 6 6.01190- 3 4.10000+ 1 4.40000+ 1 6.55120- 6 6.02315- 3 4.10000+ 1 5.80000+ 1 6.09373- 7 6.04155- 3 4.30000+ 1 4.30000+ 1 1.36506- 7 6.03182- 3 4.30000+ 1 4.40000+ 1 4.09509- 7 6.04307- 3 4.30000+ 1 5.80000+ 1 4.09509- 7 6.06147- 3 4.40000+ 1 4.40000+ 1 2.64584- 7 6.05432- 3 4.40000+ 1 5.80000+ 1 5.29149- 7 6.07272- 3 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.27439- 3 1.63800- 3 1.60000+ 1 1.11990- 3 4.14640- 3 2.10000+ 1 5.30858- 3 4.86370- 3 2.70000+ 1 3.00279- 4 5.37916- 3 3.20000+ 1 1.34350- 3 5.61631- 3 4.10000+ 1 6.15248- 5 5.68654- 3 5.80000+ 1 5.73858- 6 5.73611- 3 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.05201- 2 1.78200- 4 1.10000+ 1 2.20000+ 1 1.94689- 2 2.29420- 4 1.10000+ 1 2.40000+ 1 2.83952- 2 5.85070- 4 1.10000+ 1 2.50000+ 1 2.27434- 2 5.98930- 4 1.10000+ 1 2.70000+ 1 3.13142- 3 6.93660- 4 1.10000+ 1 2.90000+ 1 4.67801- 3 7.61040- 4 1.10000+ 1 3.00000+ 1 1.73935- 3 8.30850- 4 1.10000+ 1 3.20000+ 1 2.06287- 3 9.30810- 4 1.10000+ 1 3.30000+ 1 3.49693- 3 9.41200- 4 1.10000+ 1 3.50000+ 1 1.03283- 3 1.04781- 3 1.10000+ 1 3.60000+ 1 8.08638- 4 1.04910- 3 1.10000+ 1 4.10000+ 1 5.77444- 4 1.00104- 3 1.10000+ 1 4.30000+ 1 6.88351- 4 1.02096- 3 1.10000+ 1 4.40000+ 1 2.38779- 4 1.03221- 3 1.10000+ 1 5.80000+ 1 4.85469- 5 1.05061- 3 1.30000+ 1 1.60000+ 1 4.76958- 2 4.28000- 5 1.30000+ 1 1.80000+ 1 5.01248- 2 2.09800- 4 1.30000+ 1 1.90000+ 1 3.04314- 2 4.91000- 4 1.30000+ 1 2.10000+ 1 1.65209- 2 7.60100- 4 1.30000+ 1 2.20000+ 1 2.80390- 2 8.11320- 4 1.30000+ 1 2.40000+ 1 1.52031- 1 1.16697- 3 1.30000+ 1 2.50000+ 1 2.39667- 1 1.18083- 3 1.30000+ 1 2.70000+ 1 1.21868- 2 1.27556- 3 1.30000+ 1 2.90000+ 1 1.01328- 2 1.34294- 3 1.30000+ 1 3.00000+ 1 7.15017- 3 1.41275- 3 1.30000+ 1 3.20000+ 1 3.52537- 3 1.51271- 3 1.30000+ 1 3.30000+ 1 5.80738- 3 1.52310- 3 1.30000+ 1 3.50000+ 1 5.02080- 3 1.62971- 3 1.30000+ 1 3.60000+ 1 7.93880- 3 1.63100- 3 1.30000+ 1 4.10000+ 1 2.36750- 3 1.58294- 3 1.30000+ 1 4.30000+ 1 1.60645- 3 1.60286- 3 1.30000+ 1 4.40000+ 1 1.02077- 3 1.61411- 3 1.30000+ 1 5.80000+ 1 2.00769- 4 1.63251- 3 1.40000+ 1 1.60000+ 1 7.17861- 3 2.53900- 4 1.40000+ 1 1.80000+ 1 5.67663- 2 4.20900- 4 1.40000+ 1 1.90000+ 1 4.46151- 3 7.02100- 4 1.40000+ 1 2.10000+ 1 2.18689- 3 9.71200- 4 1.40000+ 1 2.20000+ 1 2.77939- 3 1.02242- 3 1.40000+ 1 2.40000+ 1 8.53038- 3 1.37807- 3 1.40000+ 1 2.50000+ 1 4.95544- 3 1.39193- 3 1.40000+ 1 2.70000+ 1 1.22158- 3 1.48666- 3 1.40000+ 1 2.90000+ 1 8.66151- 3 1.55404- 3 1.40000+ 1 3.00000+ 1 8.81097- 4 1.62385- 3 1.40000+ 1 3.20000+ 1 1.81839- 4 1.72381- 3 1.40000+ 1 3.30000+ 1 4.94674- 4 1.73420- 3 1.40000+ 1 3.50000+ 1 4.06299- 4 1.84081- 3 1.40000+ 1 3.60000+ 1 1.85131- 4 1.84210- 3 1.40000+ 1 4.10000+ 1 2.19194- 4 1.79404- 3 1.40000+ 1 4.30000+ 1 1.28929- 3 1.81396- 3 1.40000+ 1 4.40000+ 1 1.22101- 4 1.82521- 3 1.40000+ 1 5.80000+ 1 1.84308- 5 1.84361- 3 1.60000+ 1 1.60000+ 1 4.43295- 4 2.55120- 3 1.60000+ 1 1.80000+ 1 7.12056- 3 2.71820- 3 1.60000+ 1 1.90000+ 1 8.34385- 4 2.99940- 3 1.60000+ 1 2.10000+ 1 3.05122- 4 3.26850- 3 1.60000+ 1 2.20000+ 1 7.96677- 4 3.31972- 3 1.60000+ 1 2.40000+ 1 7.14649- 5 3.67537- 3 1.60000+ 1 2.50000+ 1 5.75937- 4 3.68923- 3 1.60000+ 1 2.70000+ 1 1.74038- 4 3.78396- 3 1.60000+ 1 2.90000+ 1 1.07351- 3 3.85134- 3 1.60000+ 1 3.00000+ 1 1.81681- 4 3.92115- 3 1.60000+ 1 3.20000+ 1 3.95559- 5 4.02111- 3 1.60000+ 1 3.30000+ 1 1.39497- 4 4.03150- 3 1.60000+ 1 3.50000+ 1 2.37348- 6 4.13811- 3 1.60000+ 1 3.60000+ 1 1.68777- 5 4.13940- 3 1.60000+ 1 4.10000+ 1 3.24351- 5 4.09134- 3 1.60000+ 1 4.30000+ 1 1.60339- 4 4.11126- 3 1.60000+ 1 4.40000+ 1 2.55797- 5 4.12251- 3 1.60000+ 1 5.80000+ 1 2.63711- 6 4.14091- 3 1.80000+ 1 1.80000+ 1 5.60700- 3 2.88520- 3 1.80000+ 1 1.90000+ 1 1.46362- 2 3.16640- 3 1.80000+ 1 2.10000+ 1 1.49717- 2 3.43550- 3 1.80000+ 1 2.20000+ 1 2.31868- 2 3.48672- 3 1.80000+ 1 2.40000+ 1 9.42232- 3 3.84237- 3 1.80000+ 1 2.50000+ 1 1.51669- 2 3.85623- 3 1.80000+ 1 2.70000+ 1 1.85166- 3 3.95096- 3 1.80000+ 1 2.90000+ 1 2.26711- 3 4.01834- 3 1.80000+ 1 3.00000+ 1 3.52304- 3 4.08815- 3 1.80000+ 1 3.20000+ 1 2.99355- 3 4.18811- 3 1.80000+ 1 3.30000+ 1 4.51743- 3 4.19850- 3 1.80000+ 1 3.50000+ 1 4.29309- 4 4.30511- 3 1.80000+ 1 3.60000+ 1 6.51868- 4 4.30640- 3 1.80000+ 1 4.10000+ 1 3.64698- 4 4.25834- 3 1.80000+ 1 4.30000+ 1 3.62046- 4 4.27826- 3 1.80000+ 1 4.40000+ 1 5.06822- 4 4.28951- 3 1.80000+ 1 5.80000+ 1 3.11165- 5 4.30791- 3 1.90000+ 1 1.90000+ 1 3.52308- 4 3.44760- 3 1.90000+ 1 2.10000+ 1 7.95844- 4 3.71670- 3 1.90000+ 1 2.20000+ 1 7.69212- 4 3.76792- 3 1.90000+ 1 2.40000+ 1 5.90592- 3 4.12357- 3 1.90000+ 1 2.50000+ 1 1.65340- 3 4.13743- 3 1.90000+ 1 2.70000+ 1 1.36334- 4 4.23216- 3 1.90000+ 1 2.90000+ 1 2.24842- 3 4.29954- 3 1.90000+ 1 3.00000+ 1 1.42924- 4 4.36935- 3 1.90000+ 1 3.20000+ 1 1.22360- 4 4.46931- 3 1.90000+ 1 3.30000+ 1 1.36334- 4 4.47970- 3 1.90000+ 1 3.50000+ 1 2.22039- 4 4.58631- 3 1.90000+ 1 3.60000+ 1 6.19681- 5 4.58760- 3 1.90000+ 1 4.10000+ 1 2.42617- 5 4.53954- 3 1.90000+ 1 4.30000+ 1 3.36751- 4 4.55946- 3 1.90000+ 1 4.40000+ 1 1.97772- 5 4.57071- 3 1.90000+ 1 5.80000+ 1 2.10976- 6 4.58911- 3 2.10000+ 1 2.10000+ 1 5.82789- 4 3.98580- 3 2.10000+ 1 2.20000+ 1 9.97034- 4 4.03702- 3 2.10000+ 1 2.40000+ 1 6.08897- 4 4.39267- 3 2.10000+ 1 2.50000+ 1 7.52614- 4 4.40653- 3 2.10000+ 1 2.70000+ 1 7.70014- 5 4.50126- 3 2.10000+ 1 2.90000+ 1 2.22146- 3 4.56864- 3 2.10000+ 1 3.00000+ 1 1.80374- 4 4.63845- 3 2.10000+ 1 3.20000+ 1 1.87493- 4 4.73841- 3 2.10000+ 1 3.30000+ 1 1.77467- 4 4.74880- 3 2.10000+ 1 3.50000+ 1 1.39766- 5 4.85541- 3 2.10000+ 1 3.60000+ 1 2.26791- 5 4.85670- 3 2.10000+ 1 4.10000+ 1 1.50309- 5 4.80864- 3 2.10000+ 1 4.30000+ 1 3.30161- 4 4.82856- 3 2.10000+ 1 4.40000+ 1 2.55792- 5 4.83981- 3 2.10000+ 1 5.80000+ 1 1.31849- 6 4.85821- 3 2.20000+ 1 2.20000+ 1 2.77420- 4 4.08824- 3 2.20000+ 1 2.40000+ 1 1.15897- 3 4.44389- 3 2.20000+ 1 2.50000+ 1 3.14079- 4 4.45775- 3 2.20000+ 1 2.70000+ 1 1.61385- 4 4.55248- 3 2.20000+ 1 2.90000+ 1 3.47590- 3 4.61986- 3 2.20000+ 1 3.00000+ 1 1.40551- 4 4.68967- 3 2.20000+ 1 3.20000+ 1 1.43457- 4 4.78963- 3 2.20000+ 1 3.30000+ 1 9.09786- 5 4.80002- 3 2.20000+ 1 3.50000+ 1 2.16241- 5 4.90663- 3 2.20000+ 1 3.60000+ 1 8.43857- 6 4.90792- 3 2.20000+ 1 4.10000+ 1 3.03258- 5 4.85986- 3 2.20000+ 1 4.30000+ 1 5.17653- 4 4.87978- 3 2.20000+ 1 4.40000+ 1 1.92499- 5 4.89103- 3 2.20000+ 1 5.80000+ 1 2.63706- 6 4.90943- 3 2.40000+ 1 2.40000+ 1 2.46217- 3 4.79954- 3 2.40000+ 1 2.50000+ 1 1.56530- 2 4.81340- 3 2.40000+ 1 2.70000+ 1 1.23941- 5 4.90813- 3 2.40000+ 1 2.90000+ 1 1.28796- 3 4.97551- 3 2.40000+ 1 3.00000+ 1 1.33545- 3 5.04532- 3 2.40000+ 1 3.20000+ 1 1.26577- 4 5.14528- 3 2.40000+ 1 3.30000+ 1 2.84015- 4 5.15567- 3 2.40000+ 1 3.50000+ 1 1.84587- 4 5.26228- 3 2.40000+ 1 3.60000+ 1 5.51137- 4 5.26357- 3 2.40000+ 1 4.10000+ 1 2.37344- 6 5.21551- 3 2.40000+ 1 4.30000+ 1 1.90132- 4 5.23543- 3 2.40000+ 1 4.40000+ 1 1.89863- 4 5.24668- 3 2.40000+ 1 5.80000+ 1 2.63707- 7 5.26508- 3 2.50000+ 1 2.50000+ 1 8.14310- 4 4.82726- 3 2.50000+ 1 2.70000+ 1 1.21041- 4 4.92199- 3 2.50000+ 1 2.90000+ 1 2.00620- 3 4.98937- 3 2.50000+ 1 3.00000+ 1 3.29094- 4 5.05918- 3 2.50000+ 1 3.20000+ 1 1.55313- 4 5.15914- 3 2.50000+ 1 3.30000+ 1 6.51337- 5 5.16953- 3 2.50000+ 1 3.50000+ 1 5.64844- 4 5.27614- 3 2.50000+ 1 3.60000+ 1 5.80145- 5 5.27743- 3 2.50000+ 1 4.10000+ 1 2.26789- 5 5.22937- 3 2.50000+ 1 4.30000+ 1 2.91385- 4 5.24929- 3 2.50000+ 1 4.40000+ 1 4.56201- 5 5.26054- 3 2.50000+ 1 5.80000+ 1 1.84585- 6 5.27894- 3 2.70000+ 1 2.70000+ 1 1.68773- 5 5.01672- 3 2.70000+ 1 2.90000+ 1 2.81106- 4 5.08410- 3 2.70000+ 1 3.00000+ 1 2.95343- 5 5.15391- 3 2.70000+ 1 3.20000+ 1 9.49321- 6 5.25387- 3 2.70000+ 1 3.30000+ 1 2.87445- 5 5.26426- 3 2.70000+ 1 3.50000+ 1 5.27393- 7 5.37087- 3 2.70000+ 1 3.60000+ 1 3.69187- 6 5.37216- 3 2.70000+ 1 4.10000+ 1 6.32890- 6 5.32410- 3 2.70000+ 1 4.30000+ 1 4.19290- 5 5.34402- 3 2.70000+ 1 4.40000+ 1 4.21912- 6 5.35527- 3 2.70000+ 1 5.80000+ 1 5.27393- 7 5.37367- 3 2.90000+ 1 2.90000+ 1 2.13599- 4 5.15148- 3 2.90000+ 1 3.00000+ 1 5.45070- 4 5.22129- 3 2.90000+ 1 3.20000+ 1 4.47219- 4 5.32125- 3 2.90000+ 1 3.30000+ 1 6.82191- 4 5.33164- 3 2.90000+ 1 3.50000+ 1 5.85416- 5 5.43825- 3 2.90000+ 1 3.60000+ 1 8.70205- 5 5.43954- 3 2.90000+ 1 4.10000+ 1 5.53763- 5 5.39148- 3 2.90000+ 1 4.30000+ 1 6.72434- 5 5.41140- 3 2.90000+ 1 4.40000+ 1 7.85827- 5 5.42265- 3 2.90000+ 1 5.80000+ 1 4.74661- 6 5.44105- 3 3.00000+ 1 3.00000+ 1 1.42402- 5 5.29110- 3 3.00000+ 1 3.20000+ 1 2.79517- 5 5.39106- 3 3.00000+ 1 3.30000+ 1 2.50517- 5 5.40145- 3 3.00000+ 1 3.50000+ 1 5.03669- 5 5.50806- 3 3.00000+ 1 3.60000+ 1 1.23940- 5 5.50935- 3 3.00000+ 1 4.10000+ 1 5.27394- 6 5.46129- 3 3.00000+ 1 4.30000+ 1 8.17478- 5 5.48121- 3 3.00000+ 1 4.40000+ 1 3.95551- 6 5.49246- 3 3.00000+ 1 5.80000+ 1 5.27394- 7 5.51086- 3 3.20000+ 1 3.20000+ 1 1.45402- 5 5.49102- 3 3.20000+ 1 3.30000+ 1 2.77591- 5 5.50141- 3 3.20000+ 1 3.50000+ 1 3.17228- 6 5.60802- 3 3.20000+ 1 3.60000+ 1 5.28721- 6 5.60931- 3 3.20000+ 1 4.10000+ 1 1.85051- 6 5.56125- 3 3.20000+ 1 4.30000+ 1 6.66204- 5 5.58117- 3 3.20000+ 1 4.40000+ 1 3.96546- 6 5.59242- 3 3.20000+ 1 5.80000+ 1 2.64369- 7 5.61082- 3 3.30000+ 1 3.30000+ 1 7.98392- 6 5.51180- 3 3.30000+ 1 3.50000+ 1 6.38725- 6 5.61841- 3 3.30000+ 1 3.60000+ 1 1.86287- 6 5.61970- 3 3.30000+ 1 4.10000+ 1 5.58876- 6 5.57164- 3 3.30000+ 1 4.30000+ 1 1.02725- 4 5.59156- 3 3.30000+ 1 4.40000+ 1 3.45983- 6 5.60281- 3 3.30000+ 1 5.80000+ 1 5.32255- 7 5.62121- 3 3.50000+ 1 3.50000+ 1 2.88622- 6 5.72502- 3 3.50000+ 1 3.60000+ 1 2.04662- 5 5.72631- 3 3.50000+ 1 4.30000+ 1 8.65880- 6 5.69817- 3 3.50000+ 1 4.40000+ 1 7.08461- 6 5.70942- 3 3.60000+ 1 3.60000+ 1 7.91101- 7 5.72760- 3 3.60000+ 1 4.10000+ 1 7.91101- 7 5.67954- 3 3.60000+ 1 4.30000+ 1 1.26577- 5 5.69946- 3 3.60000+ 1 4.40000+ 1 1.58208- 6 5.71071- 3 4.10000+ 1 4.10000+ 1 5.50287- 7 5.63148- 3 4.10000+ 1 4.30000+ 1 8.52964- 6 5.65140- 3 4.10000+ 1 4.40000+ 1 8.25440- 7 5.66265- 3 4.30000+ 1 4.30000+ 1 5.70600- 6 5.67132- 3 4.30000+ 1 4.40000+ 1 1.28390- 5 5.68257- 3 4.30000+ 1 5.80000+ 1 8.55910- 7 5.70097- 3 4.40000+ 1 4.40000+ 1 2.63709- 7 5.69382- 3 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.36000- 5 5.81900- 4 1.40000+ 1 3.34869- 4 7.93000- 4 1.60000+ 1 2.43869- 3 3.09030- 3 2.10000+ 1 1.12150- 3 3.80760- 3 2.20000+ 1 8.33408- 3 3.85882- 3 2.70000+ 1 6.19019- 4 4.32306- 3 3.20000+ 1 2.48459- 4 4.56021- 3 3.30000+ 1 1.88850- 3 4.57060- 3 4.10000+ 1 1.22210- 4 4.63044- 3 5.80000+ 1 1.20580- 5 4.68001- 3 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 1.64875- 2 1.10870- 4 1.30000+ 1 2.50000+ 1 2.46605- 2 1.24730- 4 1.30000+ 1 2.70000+ 1 4.03017- 3 2.19460- 4 1.30000+ 1 2.90000+ 1 3.97911- 3 2.86840- 4 1.30000+ 1 3.00000+ 1 1.11708- 2 3.56650- 4 1.30000+ 1 3.20000+ 1 2.21122- 3 4.56610- 4 1.30000+ 1 3.30000+ 1 2.49797- 3 4.67000- 4 1.30000+ 1 3.50000+ 1 4.52808- 4 5.73610- 4 1.30000+ 1 3.60000+ 1 7.52265- 4 5.74900- 4 1.30000+ 1 4.10000+ 1 7.54235- 4 5.26840- 4 1.30000+ 1 4.30000+ 1 6.24555- 4 5.46760- 4 1.30000+ 1 4.40000+ 1 1.50760- 3 5.58010- 4 1.30000+ 1 5.80000+ 1 6.30901- 5 5.76410- 4 1.40000+ 1 2.40000+ 1 2.34361- 1 3.21970- 4 1.40000+ 1 2.50000+ 1 2.82468- 1 3.35830- 4 1.40000+ 1 2.70000+ 1 2.46422- 2 4.30560- 4 1.40000+ 1 2.90000+ 1 2.65458- 2 4.97940- 4 1.40000+ 1 3.00000+ 1 2.65180- 2 5.67750- 4 1.40000+ 1 3.20000+ 1 8.94433- 3 6.67710- 4 1.40000+ 1 3.30000+ 1 1.31819- 2 6.78100- 4 1.40000+ 1 3.50000+ 1 6.19188- 3 7.84710- 4 1.40000+ 1 3.60000+ 1 6.86110- 3 7.86000- 4 1.40000+ 1 4.10000+ 1 4.73088- 3 7.37940- 4 1.40000+ 1 4.30000+ 1 4.20521- 3 7.57860- 4 1.40000+ 1 4.40000+ 1 3.67762- 3 7.69110- 4 1.40000+ 1 5.80000+ 1 4.00450- 4 7.87510- 4 1.60000+ 1 1.60000+ 1 6.22568- 5 1.49510- 3 1.60000+ 1 1.80000+ 1 3.33445- 4 1.66210- 3 1.60000+ 1 1.90000+ 1 9.29158- 3 1.94330- 3 1.60000+ 1 2.10000+ 1 6.12684- 4 2.21240- 3 1.60000+ 1 2.20000+ 1 8.27003- 4 2.26362- 3 1.60000+ 1 2.40000+ 1 2.58488- 3 2.61927- 3 1.60000+ 1 2.50000+ 1 4.70278- 3 2.63313- 3 1.60000+ 1 2.70000+ 1 2.96327- 5 2.72786- 3 1.60000+ 1 2.90000+ 1 4.19031- 5 2.79524- 3 1.60000+ 1 3.00000+ 1 1.38439- 3 2.86505- 3 1.60000+ 1 3.20000+ 1 1.01467- 4 2.96501- 3 1.60000+ 1 3.30000+ 1 1.34092- 4 2.97540- 3 1.60000+ 1 3.50000+ 1 8.32096- 5 3.08201- 3 1.60000+ 1 3.60000+ 1 1.43381- 4 3.08330- 3 1.60000+ 1 4.10000+ 1 5.68692- 6 3.03524- 3 1.60000+ 1 4.30000+ 1 5.98618- 6 3.05516- 3 1.60000+ 1 4.40000+ 1 1.81977- 4 3.06641- 3 1.60000+ 1 5.80000+ 1 5.98618- 7 3.08481- 3 1.80000+ 1 1.80000+ 1 1.79589- 6 1.82910- 3 1.80000+ 1 1.90000+ 1 1.18820- 2 2.11030- 3 1.80000+ 1 2.10000+ 1 2.86140- 4 2.37940- 3 1.80000+ 1 2.20000+ 1 2.80516- 3 2.43062- 3 1.80000+ 1 2.40000+ 1 1.54262- 3 2.78627- 3 1.80000+ 1 2.50000+ 1 7.42933- 3 2.80013- 3 1.80000+ 1 2.70000+ 1 7.42302- 5 2.89486- 3 1.80000+ 1 2.90000+ 1 3.59175- 6 2.96224- 3 1.80000+ 1 3.00000+ 1 1.82407- 3 3.03205- 3 1.80000+ 1 3.20000+ 1 5.71673- 5 3.13201- 3 1.80000+ 1 3.30000+ 1 4.41198- 4 3.14240- 3 1.80000+ 1 3.50000+ 1 4.42993- 5 3.24901- 3 1.80000+ 1 3.60000+ 1 2.18501- 4 3.25030- 3 1.80000+ 1 4.10000+ 1 1.37680- 5 3.20224- 3 1.80000+ 1 4.30000+ 1 5.98617- 7 3.22216- 3 1.80000+ 1 4.40000+ 1 2.41249- 4 3.23341- 3 1.80000+ 1 5.80000+ 1 1.19722- 6 3.25181- 3 1.90000+ 1 1.90000+ 1 1.47191- 2 2.39150- 3 1.90000+ 1 2.10000+ 1 2.21121- 2 2.66060- 3 1.90000+ 1 2.20000+ 1 2.85029- 2 2.71182- 3 1.90000+ 1 2.40000+ 1 2.12402- 2 3.06747- 3 1.90000+ 1 2.50000+ 1 2.41771- 2 3.08133- 3 1.90000+ 1 2.70000+ 1 2.38751- 3 3.17606- 3 1.90000+ 1 2.90000+ 1 2.84335- 3 3.24344- 3 1.90000+ 1 3.00000+ 1 5.76126- 3 3.31325- 3 1.90000+ 1 3.20000+ 1 4.24044- 3 3.41321- 3 1.90000+ 1 3.30000+ 1 5.46705- 3 3.42360- 3 1.90000+ 1 3.50000+ 1 8.98196- 4 3.53021- 3 1.90000+ 1 3.60000+ 1 9.75728- 4 3.53150- 3 1.90000+ 1 4.10000+ 1 4.68403- 4 3.48344- 3 1.90000+ 1 4.30000+ 1 4.64813- 4 3.50336- 3 1.90000+ 1 4.40000+ 1 8.01821- 4 3.51461- 3 1.90000+ 1 5.80000+ 1 3.98061- 5 3.53301- 3 2.10000+ 1 2.10000+ 1 1.57732- 4 2.92970- 3 2.10000+ 1 2.20000+ 1 3.75241- 3 2.98092- 3 2.10000+ 1 2.40000+ 1 6.23155- 4 3.33657- 3 2.10000+ 1 2.50000+ 1 6.99589- 3 3.35043- 3 2.10000+ 1 2.70000+ 1 7.75200- 5 3.44516- 3 2.10000+ 1 2.90000+ 1 1.34694- 5 3.51254- 3 2.10000+ 1 3.00000+ 1 3.30022- 3 3.58235- 3 2.10000+ 1 3.20000+ 1 4.93859- 5 3.68231- 3 2.10000+ 1 3.30000+ 1 6.23155- 4 3.69270- 3 2.10000+ 1 3.50000+ 1 2.12505- 5 3.79931- 3 2.10000+ 1 3.60000+ 1 1.71218- 4 3.80060- 3 2.10000+ 1 4.10000+ 1 1.31699- 5 3.75254- 3 2.10000+ 1 4.30000+ 1 1.79583- 6 3.77246- 3 2.10000+ 1 4.40000+ 1 4.33400- 4 3.78371- 3 2.10000+ 1 5.80000+ 1 1.19719- 6 3.80211- 3 2.20000+ 1 2.20000+ 1 1.58877- 3 3.03214- 3 2.20000+ 1 2.40000+ 1 5.48149- 3 3.38779- 3 2.20000+ 1 2.50000+ 1 4.45324- 3 3.40165- 3 2.20000+ 1 2.70000+ 1 1.16137- 4 3.49638- 3 2.20000+ 1 2.90000+ 1 2.78359- 4 3.56376- 3 2.20000+ 1 3.00000+ 1 4.19618- 3 3.63357- 3 2.20000+ 1 3.20000+ 1 6.10898- 4 3.73353- 3 2.20000+ 1 3.30000+ 1 5.32491- 4 3.74392- 3 2.20000+ 1 3.50000+ 1 1.78390- 4 3.85053- 3 2.20000+ 1 3.60000+ 1 1.35293- 4 3.85182- 3 2.20000+ 1 4.10000+ 1 2.00545- 5 3.80376- 3 2.20000+ 1 4.30000+ 1 3.83130- 5 3.82368- 3 2.20000+ 1 4.40000+ 1 5.49552- 4 3.83493- 3 2.20000+ 1 5.80000+ 1 1.79591- 6 3.85333- 3 2.40000+ 1 2.40000+ 1 9.69782- 4 3.74344- 3 2.40000+ 1 2.50000+ 1 2.49437- 2 3.75730- 3 2.40000+ 1 2.70000+ 1 2.84633- 4 3.85203- 3 2.40000+ 1 2.90000+ 1 2.94517- 4 3.91941- 3 2.40000+ 1 3.00000+ 1 3.00419- 3 3.98922- 3 2.40000+ 1 3.20000+ 1 1.39184- 4 4.08918- 3 2.40000+ 1 3.30000+ 1 9.84138- 4 4.09957- 3 2.40000+ 1 3.50000+ 1 7.12356- 5 4.20618- 3 2.40000+ 1 3.60000+ 1 7.99167- 4 4.20747- 3 2.40000+ 1 4.10000+ 1 4.81888- 5 4.15941- 3 2.40000+ 1 4.30000+ 1 4.57940- 5 4.17933- 3 2.40000+ 1 4.40000+ 1 3.91501- 4 4.19058- 3 2.40000+ 1 5.80000+ 1 3.89113- 6 4.20898- 3 2.50000+ 1 2.50000+ 1 9.93257- 3 3.77116- 3 2.50000+ 1 2.70000+ 1 5.03125- 4 3.86589- 3 2.50000+ 1 2.90000+ 1 1.38688- 3 3.93327- 3 2.50000+ 1 3.00000+ 1 3.58598- 3 4.00308- 3 2.50000+ 1 3.20000+ 1 1.32533- 3 4.10304- 3 2.50000+ 1 3.30000+ 1 8.75460- 4 4.11343- 3 2.50000+ 1 3.50000+ 1 8.12903- 4 4.22004- 3 2.50000+ 1 3.60000+ 1 6.46804- 4 4.22133- 3 2.50000+ 1 4.10000+ 1 8.32075- 5 4.17327- 3 2.50000+ 1 4.30000+ 1 2.16702- 4 4.19319- 3 2.50000+ 1 4.40000+ 1 4.74109- 4 4.20444- 3 2.50000+ 1 5.80000+ 1 6.88409- 6 4.22284- 3 2.70000+ 1 2.70000+ 1 3.89117- 6 3.96062- 3 2.70000+ 1 2.90000+ 1 1.04759- 5 4.02800- 3 2.70000+ 1 3.00000+ 1 3.57381- 4 4.09781- 3 2.70000+ 1 3.20000+ 1 1.43658- 5 4.19777- 3 2.70000+ 1 3.30000+ 1 2.00542- 5 4.20816- 3 2.70000+ 1 3.50000+ 1 8.68015- 6 4.31477- 3 2.70000+ 1 3.60000+ 1 1.52645- 5 4.31606- 3 2.70000+ 1 4.10000+ 1 1.49662- 6 4.26800- 3 2.70000+ 1 4.30000+ 1 1.49662- 6 4.28792- 3 2.70000+ 1 4.40000+ 1 4.69925- 5 4.29917- 3 2.90000+ 1 3.00000+ 1 4.38780- 4 4.16519- 3 2.90000+ 1 3.20000+ 1 2.39452- 6 4.26515- 3 2.90000+ 1 3.30000+ 1 4.66923- 5 4.27554- 3 2.90000+ 1 3.50000+ 1 9.87722- 6 4.38215- 3 2.90000+ 1 3.60000+ 1 4.63940- 5 4.38344- 3 2.90000+ 1 4.10000+ 1 2.09512- 6 4.33538- 3 2.90000+ 1 4.40000+ 1 5.80666- 5 4.36655- 3 2.90000+ 1 5.80000+ 1 2.99306- 7 4.38495- 3 3.00000+ 1 3.00000+ 1 5.30689- 4 4.23500- 3 3.00000+ 1 3.20000+ 1 6.35748- 4 4.33496- 3 3.00000+ 1 3.30000+ 1 8.06945- 4 4.34535- 3 3.00000+ 1 3.50000+ 1 1.27203- 4 4.45196- 3 3.00000+ 1 3.60000+ 1 1.43077- 4 4.45325- 3 3.00000+ 1 4.10000+ 1 7.00394- 5 4.40519- 3 3.00000+ 1 4.30000+ 1 7.18353- 5 4.42511- 3 3.00000+ 1 4.40000+ 1 1.46073- 4 4.43636- 3 3.00000+ 1 5.80000+ 1 5.98617- 6 4.45476- 3 3.20000+ 1 3.20000+ 1 3.89109- 6 4.43492- 3 3.20000+ 1 3.30000+ 1 1.10448- 4 4.44531- 3 3.20000+ 1 3.50000+ 1 4.19024- 6 4.55192- 3 3.20000+ 1 3.60000+ 1 3.50197- 5 4.55321- 3 3.20000+ 1 4.10000+ 1 2.39451- 6 4.50515- 3 3.20000+ 1 4.30000+ 1 2.99304- 7 4.52507- 3 3.20000+ 1 4.40000+ 1 8.35077- 5 4.53632- 3 3.20000+ 1 5.80000+ 1 2.99304- 7 4.55472- 3 3.30000+ 1 3.30000+ 1 4.75903- 5 4.45570- 3 3.30000+ 1 3.50000+ 1 3.41209- 5 4.56231- 3 3.30000+ 1 3.60000+ 1 2.72370- 5 4.56360- 3 3.30000+ 1 4.10000+ 1 3.59166- 6 4.51554- 3 3.30000+ 1 4.30000+ 1 6.58469- 6 4.53546- 3 3.30000+ 1 4.40000+ 1 1.05656- 4 4.54671- 3 3.30000+ 1 5.80000+ 1 2.99302- 7 4.56511- 3 3.50000+ 1 3.50000+ 1 1.20904- 6 4.66892- 3 3.50000+ 1 3.60000+ 1 2.78091- 5 4.67021- 3 3.50000+ 1 4.10000+ 1 1.51139- 6 4.62215- 3 3.50000+ 1 4.30000+ 1 1.51139- 6 4.64207- 3 3.50000+ 1 4.40000+ 1 1.66250- 5 4.65332- 3 3.60000+ 1 3.60000+ 1 9.93992- 6 4.67150- 3 3.60000+ 1 4.10000+ 1 2.48501- 6 4.62344- 3 3.60000+ 1 4.30000+ 1 7.76561- 6 4.64336- 3 3.60000+ 1 4.40000+ 1 1.95698- 5 4.65461- 3 3.60000+ 1 5.80000+ 1 3.10616- 7 4.67301- 3 4.10000+ 1 4.30000+ 1 2.99306- 7 4.59530- 3 4.10000+ 1 4.40000+ 1 9.27857- 6 4.60655- 3 4.30000+ 1 4.40000+ 1 9.57798- 6 4.62647- 3 4.40000+ 1 4.40000+ 1 1.08405- 5 4.63772- 3 4.40000+ 1 5.80000+ 1 9.56512- 7 4.65612- 3 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.52628- 3 2.67540- 3 1.90000+ 1 2.12599- 4 2.95660- 3 2.40000+ 1 5.50696- 2 3.63257- 3 2.90000+ 1 5.94886- 4 3.80854- 3 3.00000+ 1 4.98157- 5 3.87835- 3 3.50000+ 1 2.51608- 3 4.09531- 3 4.30000+ 1 1.01629- 4 4.06846- 3 4.40000+ 1 7.74145- 6 4.07971- 3 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.20000+ 1 4.76279- 2 8.58100- 5 1.40000+ 1 3.30000+ 1 6.90652- 3 9.62000- 5 1.40000+ 1 3.50000+ 1 2.02848- 2 2.02810- 4 1.40000+ 1 3.60000+ 1 2.13786- 3 2.04100- 4 1.40000+ 1 4.10000+ 1 9.34433- 4 1.56040- 4 1.40000+ 1 4.30000+ 1 4.47566- 4 1.75960- 4 1.40000+ 1 4.40000+ 1 8.78552- 4 1.87210- 4 1.40000+ 1 5.80000+ 1 7.79247- 5 2.05610- 4 1.60000+ 1 1.60000+ 1 2.75838- 6 9.13200- 4 1.60000+ 1 1.80000+ 1 6.99267- 4 1.08020- 3 1.60000+ 1 1.90000+ 1 6.97197- 4 1.36140- 3 1.60000+ 1 2.10000+ 1 2.72185- 2 1.63050- 3 1.60000+ 1 2.20000+ 1 3.22594- 3 1.68172- 3 1.60000+ 1 2.40000+ 1 1.62162- 2 2.03737- 3 1.60000+ 1 2.50000+ 1 3.57776- 3 2.05123- 3 1.60000+ 1 2.70000+ 1 1.37918- 5 2.14596- 3 1.60000+ 1 2.90000+ 1 1.45512- 4 2.21334- 3 1.60000+ 1 3.00000+ 1 1.08958- 4 2.28315- 3 1.60000+ 1 3.20000+ 1 3.52928- 3 2.38311- 3 1.60000+ 1 3.30000+ 1 4.51008- 4 2.39350- 3 1.60000+ 1 3.50000+ 1 4.97207- 4 2.50011- 3 1.60000+ 1 3.60000+ 1 8.75812- 5 2.50140- 3 1.60000+ 1 4.10000+ 1 3.44797- 6 2.45334- 3 1.60000+ 1 4.30000+ 1 2.27569- 5 2.47326- 3 1.60000+ 1 4.40000+ 1 1.44815- 5 2.48451- 3 1.80000+ 1 1.80000+ 1 2.95834- 4 1.24720- 3 1.80000+ 1 1.90000+ 1 3.07359- 3 1.52840- 3 1.80000+ 1 2.10000+ 1 2.47317- 2 1.79750- 3 1.80000+ 1 2.20000+ 1 1.34605- 3 1.84872- 3 1.80000+ 1 2.40000+ 1 1.24774- 2 2.20437- 3 1.80000+ 1 2.50000+ 1 6.96785- 3 2.21823- 3 1.80000+ 1 2.70000+ 1 9.24067- 5 2.31296- 3 1.80000+ 1 2.90000+ 1 1.26894- 4 2.38034- 3 1.80000+ 1 3.00000+ 1 5.35836- 4 2.45015- 3 1.80000+ 1 3.20000+ 1 3.16665- 3 2.55011- 3 1.80000+ 1 3.30000+ 1 2.12403- 4 2.56050- 3 1.80000+ 1 3.50000+ 1 3.70318- 4 2.66711- 3 1.80000+ 1 3.60000+ 1 2.03437- 4 2.66840- 3 1.80000+ 1 4.10000+ 1 1.65508- 5 2.62034- 3 1.80000+ 1 4.30000+ 1 1.99992- 5 2.64026- 3 1.80000+ 1 4.40000+ 1 7.24085- 5 2.65151- 3 1.80000+ 1 5.80000+ 1 1.37919- 6 2.66991- 3 1.90000+ 1 1.90000+ 1 1.06479- 3 1.80960- 3 1.90000+ 1 2.10000+ 1 4.67176- 2 2.07870- 3 1.90000+ 1 2.20000+ 1 1.77636- 3 2.12992- 3 1.90000+ 1 2.40000+ 1 1.79985- 3 2.48557- 3 1.90000+ 1 2.50000+ 1 1.55363- 3 2.49943- 3 1.90000+ 1 2.70000+ 1 1.33101- 4 2.59416- 3 1.90000+ 1 2.90000+ 1 4.48924- 4 2.66154- 3 1.90000+ 1 3.00000+ 1 3.54448- 4 2.73135- 3 1.90000+ 1 3.20000+ 1 6.06229- 3 2.83131- 3 1.90000+ 1 3.30000+ 1 2.62728- 4 2.84170- 3 1.90000+ 1 3.50000+ 1 4.20670- 5 2.94831- 3 1.90000+ 1 3.60000+ 1 3.31011- 5 2.94960- 3 1.90000+ 1 4.10000+ 1 2.41360- 5 2.90154- 3 1.90000+ 1 4.30000+ 1 6.68897- 5 2.92146- 3 1.90000+ 1 4.40000+ 1 4.75815- 5 2.93271- 3 1.90000+ 1 5.80000+ 1 2.06876- 6 2.95111- 3 2.10000+ 1 2.10000+ 1 4.35424- 2 2.34780- 3 2.10000+ 1 2.20000+ 1 8.47551- 2 2.39902- 3 2.10000+ 1 2.40000+ 1 5.21612- 2 2.75467- 3 2.10000+ 1 2.50000+ 1 6.13642- 2 2.76853- 3 2.10000+ 1 2.70000+ 1 6.31078- 3 2.86326- 3 2.10000+ 1 2.90000+ 1 5.97907- 3 2.93064- 3 2.10000+ 1 3.00000+ 1 1.09187- 2 3.00045- 3 2.10000+ 1 3.20000+ 1 1.41243- 2 3.10041- 3 2.10000+ 1 3.30000+ 1 1.60750- 2 3.11080- 3 2.10000+ 1 3.50000+ 1 2.21440- 3 3.21741- 3 2.10000+ 1 3.60000+ 1 2.51844- 3 3.21870- 3 2.10000+ 1 4.10000+ 1 1.22066- 3 3.17064- 3 2.10000+ 1 4.30000+ 1 9.79896- 4 3.19056- 3 2.10000+ 1 4.40000+ 1 1.56053- 3 3.20181- 3 2.10000+ 1 5.80000+ 1 1.03445- 4 3.22021- 3 2.20000+ 1 2.20000+ 1 1.32755- 3 2.45024- 3 2.20000+ 1 2.40000+ 1 6.20825- 2 2.80589- 3 2.20000+ 1 2.50000+ 1 2.88890- 3 2.81975- 3 2.20000+ 1 2.70000+ 1 3.57901- 4 2.91448- 3 2.20000+ 1 2.90000+ 1 1.76537- 4 2.98186- 3 2.20000+ 1 3.00000+ 1 3.28242- 4 3.05167- 3 2.20000+ 1 3.20000+ 1 1.10194- 2 3.15163- 3 2.20000+ 1 3.30000+ 1 4.06866- 4 3.16202- 3 2.20000+ 1 3.50000+ 1 2.41019- 3 3.26863- 3 2.20000+ 1 3.60000+ 1 9.79252- 5 3.26992- 3 2.20000+ 1 4.10000+ 1 6.06852- 5 3.22186- 3 2.20000+ 1 4.30000+ 1 2.62048- 5 3.24178- 3 2.20000+ 1 4.40000+ 1 4.48258- 5 3.25303- 3 2.20000+ 1 5.80000+ 1 4.82714- 6 3.27143- 3 2.40000+ 1 2.40000+ 1 6.16582- 2 3.16154- 3 2.40000+ 1 2.50000+ 1 1.76078- 1 3.17540- 3 2.40000+ 1 2.70000+ 1 4.03699- 3 3.27013- 3 2.40000+ 1 2.90000+ 1 2.35225- 3 3.33751- 3 2.40000+ 1 3.00000+ 1 4.31695- 4 3.40732- 3 2.40000+ 1 3.20000+ 1 7.46848- 3 3.50728- 3 2.40000+ 1 3.30000+ 1 1.11517- 2 3.51767- 3 2.40000+ 1 3.50000+ 1 4.60796- 3 3.62428- 3 2.40000+ 1 3.60000+ 1 6.81689- 3 3.62557- 3 2.40000+ 1 4.10000+ 1 7.88907- 4 3.57751- 3 2.40000+ 1 4.30000+ 1 3.77217- 4 3.59743- 3 2.40000+ 1 4.40000+ 1 6.27549- 5 3.60868- 3 2.40000+ 1 5.80000+ 1 6.75807- 5 3.62708- 3 2.50000+ 1 2.50000+ 1 3.63544- 3 3.18926- 3 2.50000+ 1 2.70000+ 1 6.14438- 4 3.28399- 3 2.50000+ 1 2.90000+ 1 6.64089- 4 3.35137- 3 2.50000+ 1 3.00000+ 1 3.26880- 4 3.42118- 3 2.50000+ 1 3.20000+ 1 7.22707- 3 3.52114- 3 2.50000+ 1 3.30000+ 1 4.82014- 4 3.53153- 3 2.50000+ 1 3.50000+ 1 5.80581- 3 3.63814- 3 2.50000+ 1 3.60000+ 1 2.57910- 4 3.63943- 3 2.50000+ 1 4.10000+ 1 1.10341- 4 3.59137- 3 2.50000+ 1 4.30000+ 1 9.24049- 5 3.61129- 3 2.50000+ 1 4.40000+ 1 4.55133- 5 3.62254- 3 2.50000+ 1 5.80000+ 1 8.96473- 6 3.64094- 3 2.70000+ 1 2.70000+ 1 1.37919- 6 3.37872- 3 2.70000+ 1 2.90000+ 1 2.27571- 5 3.44610- 3 2.70000+ 1 3.00000+ 1 2.13787- 5 3.51591- 3 2.70000+ 1 3.20000+ 1 8.23409- 4 3.61587- 3 2.70000+ 1 3.30000+ 1 5.58586- 5 3.62626- 3 2.70000+ 1 3.50000+ 1 1.32406- 4 3.73287- 3 2.70000+ 1 3.60000+ 1 1.93086- 5 3.73416- 3 2.70000+ 1 4.10000+ 1 6.89619- 7 3.68610- 3 2.70000+ 1 4.30000+ 1 3.44800- 6 3.70602- 3 2.70000+ 1 4.40000+ 1 2.75840- 6 3.71727- 3 2.90000+ 1 2.90000+ 1 1.44829- 5 3.51348- 3 2.90000+ 1 3.00000+ 1 8.48285- 5 3.58329- 3 2.90000+ 1 3.20000+ 1 7.69674- 4 3.68325- 3 2.90000+ 1 3.30000+ 1 3.24137- 5 3.69364- 3 2.90000+ 1 3.50000+ 1 7.24148- 5 3.80025- 3 2.90000+ 1 3.60000+ 1 2.06898- 5 3.80154- 3 2.90000+ 1 4.10000+ 1 4.13786- 6 3.75348- 3 2.90000+ 1 4.30000+ 1 4.82752- 6 3.77340- 3 2.90000+ 1 4.40000+ 1 1.17239- 5 3.78465- 3 3.00000+ 1 3.00000+ 1 3.03439- 5 3.65310- 3 3.00000+ 1 3.20000+ 1 1.42468- 3 3.75306- 3 3.00000+ 1 3.30000+ 1 5.17207- 5 3.76345- 3 3.00000+ 1 3.50000+ 1 1.17230- 5 3.87006- 3 3.00000+ 1 3.60000+ 1 6.89622- 6 3.87135- 3 3.00000+ 1 4.10000+ 1 4.13751- 6 3.82329- 3 3.00000+ 1 4.30000+ 1 1.24137- 5 3.84321- 3 3.00000+ 1 4.40000+ 1 8.27543- 6 3.85446- 3 3.20000+ 1 3.20000+ 1 1.09435- 3 3.85302- 3 3.20000+ 1 3.30000+ 1 2.10261- 3 3.86341- 3 3.20000+ 1 3.50000+ 1 3.16531- 4 3.97002- 3 3.20000+ 1 3.60000+ 1 3.00667- 4 3.97131- 3 3.20000+ 1 4.10000+ 1 1.59305- 4 3.92325- 3 3.20000+ 1 4.30000+ 1 1.26195- 4 3.94317- 3 3.20000+ 1 4.40000+ 1 2.04120- 4 3.95442- 3 3.20000+ 1 5.80000+ 1 1.37917- 5 3.97282- 3 3.30000+ 1 3.30000+ 1 2.91954- 5 3.87380- 3 3.30000+ 1 3.50000+ 1 4.11980- 4 3.98041- 3 3.30000+ 1 3.60000+ 1 1.55709- 5 3.98170- 3 3.30000+ 1 4.10000+ 1 9.08285- 6 3.93364- 3 3.30000+ 1 4.30000+ 1 4.54133- 6 3.95356- 3 3.30000+ 1 4.40000+ 1 6.48794- 6 3.96481- 3 3.30000+ 1 5.80000+ 1 6.48794- 7 3.98321- 3 3.50000+ 1 3.50000+ 1 6.54417- 5 4.08702- 3 3.50000+ 1 3.60000+ 1 2.17918- 4 4.08831- 3 3.50000+ 1 4.10000+ 1 2.48669- 5 4.04025- 3 3.50000+ 1 4.30000+ 1 1.11245- 5 4.06017- 3 3.50000+ 1 4.40000+ 1 1.96319- 6 4.07142- 3 3.50000+ 1 5.80000+ 1 1.96319- 6 4.08982- 3 3.60000+ 1 3.60000+ 1 4.15602- 6 4.08960- 3 3.60000+ 1 4.10000+ 1 3.46344- 6 4.04154- 3 3.60000+ 1 4.30000+ 1 2.77076- 6 4.06146- 3 3.60000+ 1 4.40000+ 1 6.92708- 7 4.07271- 3 4.10000+ 1 4.30000+ 1 7.89795- 7 4.01340- 3 4.10000+ 1 4.40000+ 1 7.89795- 7 4.02465- 3 4.30000+ 1 4.30000+ 1 8.11463- 7 4.03332- 3 4.30000+ 1 4.40000+ 1 2.43432- 6 4.04457- 3 4.40000+ 1 4.40000+ 1 1.33479- 6 4.05582- 3 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.63299- 3 2.74550- 3 2.40000+ 1 2.62508- 3 3.42147- 3 2.50000+ 1 5.14217- 2 3.43533- 3 3.00000+ 1 3.83827- 4 3.66725- 3 3.50000+ 1 1.17469- 4 3.88421- 3 3.60000+ 1 2.26418- 3 3.88550- 3 4.40000+ 1 5.91086- 5 3.86861- 3 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 2.67149- 5 7.02100- 4 1.60000+ 1 1.80000+ 1 2.90359- 4 8.69100- 4 1.60000+ 1 1.90000+ 1 1.44757- 3 1.15030- 3 1.60000+ 1 2.10000+ 1 3.10537- 3 1.41940- 3 1.60000+ 1 2.20000+ 1 3.04901- 2 1.47062- 3 1.60000+ 1 2.40000+ 1 4.03626- 3 1.82627- 3 1.60000+ 1 2.50000+ 1 1.70522- 2 1.84013- 3 1.60000+ 1 2.70000+ 1 1.75760- 5 1.93486- 3 1.60000+ 1 2.90000+ 1 2.46066- 5 2.00224- 3 1.60000+ 1 3.00000+ 1 2.32001- 4 2.07205- 3 1.60000+ 1 3.20000+ 1 3.95097- 4 2.17201- 3 1.60000+ 1 3.30000+ 1 3.92840- 3 2.18240- 3 1.60000+ 1 3.50000+ 1 9.63210- 5 2.28901- 3 1.60000+ 1 3.60000+ 1 4.58374- 4 2.29030- 3 1.60000+ 1 4.10000+ 1 4.21815- 6 2.24224- 3 1.60000+ 1 4.30000+ 1 3.51510- 6 2.26216- 3 1.60000+ 1 4.40000+ 1 3.09345- 5 2.27341- 3 1.80000+ 1 1.80000+ 1 1.75760- 5 1.03610- 3 1.80000+ 1 1.90000+ 1 4.57827- 3 1.31730- 3 1.80000+ 1 2.10000+ 1 2.25679- 4 1.58640- 3 1.80000+ 1 2.20000+ 1 3.12963- 2 1.63762- 3 1.80000+ 1 2.40000+ 1 2.35659- 3 1.99327- 3 1.80000+ 1 2.50000+ 1 1.07492- 2 2.00713- 3 1.80000+ 1 2.70000+ 1 3.51510- 5 2.10186- 3 1.80000+ 1 2.90000+ 1 4.21815- 6 2.16924- 3 1.80000+ 1 3.00000+ 1 7.34668- 4 2.23905- 3 1.80000+ 1 3.20000+ 1 5.62437- 6 2.33901- 3 1.80000+ 1 3.30000+ 1 4.01916- 3 2.34940- 3 1.80000+ 1 3.50000+ 1 6.67881- 5 2.45601- 3 1.80000+ 1 3.60000+ 1 2.84017- 4 2.45730- 3 1.80000+ 1 4.10000+ 1 6.32753- 6 2.40924- 3 1.80000+ 1 4.30000+ 1 7.03049- 7 2.42916- 3 1.80000+ 1 4.40000+ 1 9.77235- 5 2.44041- 3 1.80000+ 1 5.80000+ 1 7.03049- 7 2.45881- 3 1.90000+ 1 1.90000+ 1 2.71863- 3 1.59850- 3 1.90000+ 1 2.10000+ 1 2.78264- 3 1.86760- 3 1.90000+ 1 2.20000+ 1 4.46261- 2 1.91882- 3 1.90000+ 1 2.40000+ 1 1.85393- 3 2.27447- 3 1.90000+ 1 2.50000+ 1 2.81782- 3 2.28833- 3 1.90000+ 1 2.70000+ 1 2.92478- 4 2.38306- 3 1.90000+ 1 2.90000+ 1 6.05312- 4 2.45044- 3 1.90000+ 1 3.00000+ 1 8.92870- 4 2.52025- 3 1.90000+ 1 3.20000+ 1 4.53468- 4 2.62021- 3 1.90000+ 1 3.30000+ 1 5.70294- 3 2.63060- 3 1.90000+ 1 3.50000+ 1 4.35903- 5 2.73721- 3 1.90000+ 1 3.60000+ 1 6.25720- 5 2.73850- 3 1.90000+ 1 4.10000+ 1 5.48365- 5 2.69044- 3 1.90000+ 1 4.30000+ 1 8.92870- 5 2.71036- 3 1.90000+ 1 4.40000+ 1 1.20216- 4 2.72161- 3 1.90000+ 1 5.80000+ 1 4.92115- 6 2.74001- 3 2.10000+ 1 2.10000+ 1 6.13776- 4 2.13670- 3 2.10000+ 1 2.20000+ 1 6.38925- 2 2.18792- 3 2.10000+ 1 2.40000+ 1 2.69000- 3 2.54357- 3 2.10000+ 1 2.50000+ 1 3.72580- 2 2.55743- 3 2.10000+ 1 2.70000+ 1 3.18484- 4 2.65216- 3 2.10000+ 1 2.90000+ 1 6.53855- 5 2.71954- 3 2.10000+ 1 3.00000+ 1 4.61904- 4 2.78935- 3 2.10000+ 1 3.20000+ 1 1.80699- 4 2.88931- 3 2.10000+ 1 3.30000+ 1 8.26940- 3 2.89970- 3 2.10000+ 1 3.50000+ 1 1.01244- 4 3.00631- 3 2.10000+ 1 3.60000+ 1 1.38849- 3 3.00760- 3 2.10000+ 1 4.10000+ 1 5.27303- 5 2.95954- 3 2.10000+ 1 4.30000+ 1 9.84347- 6 2.97946- 3 2.10000+ 1 4.40000+ 1 6.25744- 5 2.99071- 3 2.10000+ 1 5.80000+ 1 4.21835- 6 3.00911- 3 2.20000+ 1 2.20000+ 1 7.02426- 2 2.23914- 3 2.20000+ 1 2.40000+ 1 5.87754- 2 2.59479- 3 2.20000+ 1 2.50000+ 1 9.48371- 2 2.60865- 3 2.20000+ 1 2.70000+ 1 6.67833- 3 2.70338- 3 2.20000+ 1 2.90000+ 1 7.19165- 3 2.77076- 3 2.20000+ 1 3.00000+ 1 1.05318- 2 2.84057- 3 2.20000+ 1 3.20000+ 1 1.20815- 2 2.94053- 3 2.20000+ 1 3.30000+ 1 2.24166- 2 2.95092- 3 2.20000+ 1 3.50000+ 1 2.48251- 3 3.05753- 3 2.20000+ 1 3.60000+ 1 3.72267- 3 3.05882- 3 2.20000+ 1 4.10000+ 1 1.28380- 3 3.01076- 3 2.20000+ 1 4.30000+ 1 1.16640- 3 3.03068- 3 2.20000+ 1 4.40000+ 1 1.50875- 3 3.04193- 3 2.20000+ 1 5.80000+ 1 1.08976- 4 3.06033- 3 2.40000+ 1 2.40000+ 1 5.25898- 3 2.95044- 3 2.40000+ 1 2.50000+ 1 1.66737- 1 2.96430- 3 2.40000+ 1 2.70000+ 1 7.77576- 4 3.05903- 3 2.40000+ 1 2.90000+ 1 4.96355- 4 3.12641- 3 2.40000+ 1 3.00000+ 1 3.69111- 4 3.19622- 3 2.40000+ 1 3.20000+ 1 4.88612- 4 3.29618- 3 2.40000+ 1 3.30000+ 1 7.14455- 3 3.30657- 3 2.40000+ 1 3.50000+ 1 3.91596- 4 3.41318- 3 2.40000+ 1 3.60000+ 1 5.28840- 3 3.41447- 3 2.40000+ 1 4.10000+ 1 1.43428- 4 3.36641- 3 2.40000+ 1 4.30000+ 1 7.94453- 5 3.38633- 3 2.40000+ 1 4.40000+ 1 5.13234- 5 3.39758- 3 2.40000+ 1 5.80000+ 1 1.19522- 5 3.41598- 3 2.50000+ 1 2.50000+ 1 1.13614- 1 2.97816- 3 2.50000+ 1 2.70000+ 1 4.19924- 3 3.07289- 3 2.50000+ 1 2.90000+ 1 2.52247- 3 3.14027- 3 2.50000+ 1 3.00000+ 1 6.26408- 4 3.21008- 3 2.50000+ 1 3.20000+ 1 6.50433- 3 3.31004- 3 2.50000+ 1 3.30000+ 1 1.40333- 2 3.32043- 3 2.50000+ 1 3.50000+ 1 6.54876- 3 3.42704- 3 2.50000+ 1 3.60000+ 1 7.96759- 3 3.42833- 3 2.50000+ 1 4.10000+ 1 8.19751- 4 3.38027- 3 2.50000+ 1 4.30000+ 1 4.12688- 4 3.40019- 3 2.50000+ 1 4.40000+ 1 8.99898- 5 3.41144- 3 2.50000+ 1 5.80000+ 1 7.03046- 5 3.42984- 3 2.70000+ 1 2.90000+ 1 7.03076- 7 3.23500- 3 2.70000+ 1 3.00000+ 1 4.92130- 5 3.30481- 3 2.70000+ 1 3.20000+ 1 4.71046- 5 3.40477- 3 2.70000+ 1 3.30000+ 1 8.66188- 4 3.41516- 3 2.70000+ 1 3.50000+ 1 2.39038- 5 3.52177- 3 2.70000+ 1 3.60000+ 1 1.26552- 4 3.52306- 3 2.70000+ 1 4.40000+ 1 6.32777- 6 3.50617- 3 2.90000+ 1 3.00000+ 1 1.04761- 4 3.37219- 3 2.90000+ 1 3.20000+ 1 4.21828- 6 3.47215- 3 2.90000+ 1 3.30000+ 1 9.37881- 4 3.48254- 3 2.90000+ 1 3.50000+ 1 1.40616- 5 3.58915- 3 2.90000+ 1 3.60000+ 1 7.10088- 5 3.59044- 3 2.90000+ 1 4.40000+ 1 1.40616- 5 3.57355- 3 3.00000+ 1 3.00000+ 1 7.31186- 5 3.44200- 3 3.00000+ 1 3.20000+ 1 8.08512- 5 3.54196- 3 3.00000+ 1 3.30000+ 1 1.34991- 3 3.55235- 3 3.00000+ 1 3.50000+ 1 9.84338- 6 3.65896- 3 3.00000+ 1 3.60000+ 1 1.61701- 5 3.66025- 3 3.00000+ 1 4.10000+ 1 9.13990- 6 3.61219- 3 3.00000+ 1 4.30000+ 1 1.54683- 5 3.63211- 3 3.00000+ 1 4.40000+ 1 1.96860- 5 3.64336- 3 3.00000+ 1 5.80000+ 1 7.03075- 7 3.66176- 3 3.20000+ 1 3.20000+ 1 1.19524- 5 3.64192- 3 3.20000+ 1 3.30000+ 1 1.57278- 3 3.65231- 3 3.20000+ 1 3.50000+ 1 1.89823- 5 3.75892- 3 3.20000+ 1 3.60000+ 1 2.47488- 4 3.76021- 3 3.20000+ 1 4.10000+ 1 7.73376- 6 3.71215- 3 3.20000+ 1 4.30000+ 1 7.03077- 7 3.73207- 3 3.20000+ 1 4.40000+ 1 1.12486- 5 3.74332- 3 3.20000+ 1 5.80000+ 1 7.03077- 7 3.76172- 3 3.30000+ 1 3.30000+ 1 1.71469- 3 3.66270- 3 3.30000+ 1 3.50000+ 1 3.04419- 4 3.76931- 3 3.30000+ 1 3.60000+ 1 5.48371- 4 3.77060- 3 3.30000+ 1 4.10000+ 1 1.66628- 4 3.72254- 3 3.30000+ 1 4.30000+ 1 1.52562- 4 3.74246- 3 3.30000+ 1 4.40000+ 1 1.93348- 4 3.75371- 3 3.30000+ 1 5.80000+ 1 1.40614- 5 3.77211- 3 3.50000+ 1 3.50000+ 1 5.90165- 6 3.87592- 3 3.50000+ 1 3.60000+ 1 2.22787- 4 3.87721- 3 3.50000+ 1 4.10000+ 1 5.16372- 6 3.82915- 3 3.50000+ 1 4.30000+ 1 2.21305- 6 3.84907- 3 3.50000+ 1 4.40000+ 1 1.47544- 6 3.86032- 3 3.50000+ 1 5.80000+ 1 7.37709- 7 3.87872- 3 3.60000+ 1 3.60000+ 1 1.19304- 4 3.87850- 3 3.60000+ 1 4.10000+ 1 2.51175- 5 3.83044- 3 3.60000+ 1 4.30000+ 1 1.18613- 5 3.85036- 3 3.60000+ 1 4.40000+ 1 2.09309- 6 3.86161- 3 3.60000+ 1 5.80000+ 1 2.09309- 6 3.88001- 3 4.10000+ 1 4.40000+ 1 1.56309- 6 3.81355- 3 4.30000+ 1 4.40000+ 1 2.43048- 6 3.83347- 3 4.40000+ 1 4.40000+ 1 1.72099- 6 3.84472- 3 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.34890- 5 1.67000- 4 1.90000+ 1 5.65462- 4 4.48200- 4 2.90000+ 1 3.76724- 4 1.30014- 3 3.00000+ 1 6.59170- 5 1.36995- 3 4.30000+ 1 7.48662- 5 1.56006- 3 4.40000+ 1 1.57378- 5 1.57131- 3 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.20000+ 1 6.20849- 2 4.17100- 5 1.80000+ 1 3.30000+ 1 9.56488- 2 5.21000- 5 1.80000+ 1 3.50000+ 1 1.54016- 2 1.58710- 4 1.80000+ 1 3.60000+ 1 1.63622- 2 1.60000- 4 1.80000+ 1 4.10000+ 1 8.85348- 3 1.11940- 4 1.80000+ 1 4.30000+ 1 7.13322- 3 1.31860- 4 1.80000+ 1 4.40000+ 1 9.16800- 3 1.43110- 4 1.80000+ 1 5.80000+ 1 7.26807- 4 1.61510- 4 1.90000+ 1 2.50000+ 1 1.64203- 2 0.00000+ 0 1.90000+ 1 2.70000+ 1 3.74824- 2 8.57600- 5 1.90000+ 1 2.90000+ 1 4.58844- 2 1.53140- 4 1.90000+ 1 3.00000+ 1 3.78935- 2 2.22950- 4 1.90000+ 1 3.20000+ 1 3.31786- 2 3.22910- 4 1.90000+ 1 3.30000+ 1 4.11601- 2 3.33300- 4 1.90000+ 1 3.50000+ 1 1.07626- 3 4.39910- 4 1.90000+ 1 3.60000+ 1 1.81946- 3 4.41200- 4 1.90000+ 1 4.10000+ 1 7.15021- 3 3.93140- 4 1.90000+ 1 4.30000+ 1 7.12963- 3 4.13060- 4 1.90000+ 1 4.40000+ 1 5.48308- 3 4.24310- 4 1.90000+ 1 5.80000+ 1 6.00838- 4 4.42710- 4 2.10000+ 1 2.40000+ 1 3.45835- 3 2.46270- 4 2.10000+ 1 2.50000+ 1 3.96421- 3 2.60130- 4 2.10000+ 1 2.70000+ 1 1.61603- 2 3.54860- 4 2.10000+ 1 2.90000+ 1 5.87005- 3 4.22240- 4 2.10000+ 1 3.00000+ 1 4.87148- 3 4.92050- 4 2.10000+ 1 3.20000+ 1 1.83002- 3 5.92010- 4 2.10000+ 1 3.30000+ 1 3.33120- 3 6.02400- 4 2.10000+ 1 3.50000+ 1 8.55876- 4 7.09010- 4 2.10000+ 1 3.60000+ 1 8.34857- 4 7.10300- 4 2.10000+ 1 4.10000+ 1 2.24642- 3 6.62240- 4 2.10000+ 1 4.30000+ 1 8.88464- 4 6.82160- 4 2.10000+ 1 4.40000+ 1 5.73076- 4 6.93410- 4 2.10000+ 1 5.80000+ 1 1.82442- 4 7.11810- 4 2.20000+ 1 2.40000+ 1 4.62374- 3 2.97490- 4 2.20000+ 1 2.50000+ 1 5.87640- 3 3.11350- 4 2.20000+ 1 2.70000+ 1 2.24228- 2 4.06080- 4 2.20000+ 1 2.90000+ 1 8.74467- 3 4.73460- 4 2.20000+ 1 3.00000+ 1 6.03472- 3 5.43270- 4 2.20000+ 1 3.20000+ 1 2.60345- 3 6.43230- 4 2.20000+ 1 3.30000+ 1 3.34585- 3 6.53620- 4 2.20000+ 1 3.50000+ 1 9.21398- 4 7.60230- 4 2.20000+ 1 3.60000+ 1 1.24422- 3 7.61520- 4 2.20000+ 1 4.10000+ 1 3.09553- 3 7.13460- 4 2.20000+ 1 4.30000+ 1 1.18302- 3 7.33380- 4 2.20000+ 1 4.40000+ 1 7.91832- 4 7.44630- 4 2.20000+ 1 5.80000+ 1 2.51045- 4 7.63030- 4 2.40000+ 1 2.40000+ 1 8.59564- 3 6.53140- 4 2.40000+ 1 2.50000+ 1 1.60311- 2 6.67000- 4 2.40000+ 1 2.70000+ 1 1.99317- 2 7.61730- 4 2.40000+ 1 2.90000+ 1 2.79827- 3 8.29110- 4 2.40000+ 1 3.00000+ 1 1.28958- 2 8.98920- 4 2.40000+ 1 3.20000+ 1 1.20623- 3 9.98880- 4 2.40000+ 1 3.30000+ 1 7.67691- 4 1.00927- 3 2.40000+ 1 3.50000+ 1 3.51271- 4 1.11588- 3 2.40000+ 1 3.60000+ 1 3.24314- 4 1.11717- 3 2.40000+ 1 4.10000+ 1 2.31897- 3 1.06911- 3 2.40000+ 1 4.30000+ 1 3.37257- 4 1.08903- 3 2.40000+ 1 4.40000+ 1 1.39835- 3 1.10028- 3 2.40000+ 1 5.80000+ 1 1.83107- 4 1.11868- 3 2.50000+ 1 2.50000+ 1 1.41355- 2 6.80860- 4 2.50000+ 1 2.70000+ 1 2.57222- 2 7.75590- 4 2.50000+ 1 2.90000+ 1 1.26133- 3 8.42970- 4 2.50000+ 1 3.00000+ 1 1.33212- 2 9.12780- 4 2.50000+ 1 3.20000+ 1 6.86371- 4 1.01274- 3 2.50000+ 1 3.30000+ 1 1.70315- 3 1.02313- 3 2.50000+ 1 3.50000+ 1 3.45933- 4 1.12974- 3 2.50000+ 1 3.60000+ 1 5.59584- 4 1.13103- 3 2.50000+ 1 4.10000+ 1 2.97875- 3 1.08297- 3 2.50000+ 1 4.30000+ 1 1.47482- 4 1.10289- 3 2.50000+ 1 4.40000+ 1 1.38118- 3 1.11414- 3 2.50000+ 1 5.80000+ 1 2.35029- 4 1.13254- 3 2.70000+ 1 2.70000+ 1 1.76615- 2 8.70320- 4 2.70000+ 1 2.90000+ 1 2.65555- 2 9.37700- 4 2.70000+ 1 3.00000+ 1 4.10384- 2 1.00751- 3 2.70000+ 1 3.20000+ 1 4.20376- 2 1.10747- 3 2.70000+ 1 3.30000+ 1 5.77993- 2 1.11786- 3 2.70000+ 1 3.50000+ 1 1.28706- 2 1.22447- 3 2.70000+ 1 3.60000+ 1 1.57589- 2 1.22576- 3 2.70000+ 1 4.10000+ 1 5.61324- 3 1.17770- 3 2.70000+ 1 4.30000+ 1 4.35264- 3 1.19762- 3 2.70000+ 1 4.40000+ 1 5.83482- 3 1.20887- 3 2.70000+ 1 5.80000+ 1 4.66416- 4 1.22727- 3 2.90000+ 1 2.90000+ 1 2.03128- 3 1.00508- 3 2.90000+ 1 3.00000+ 1 9.46182- 3 1.07489- 3 2.90000+ 1 3.20000+ 1 3.75469- 3 1.17485- 3 2.90000+ 1 3.30000+ 1 2.54093- 3 1.18524- 3 2.90000+ 1 3.50000+ 1 7.04102- 4 1.29185- 3 2.90000+ 1 3.60000+ 1 4.08788- 4 1.29314- 3 2.90000+ 1 4.10000+ 1 3.15145- 3 1.24508- 3 2.90000+ 1 4.30000+ 1 5.33036- 4 1.26500- 3 2.90000+ 1 4.40000+ 1 9.99462- 4 1.27625- 3 2.90000+ 1 5.80000+ 1 2.50319- 4 1.29465- 3 3.00000+ 1 3.00000+ 1 4.88572- 3 1.14470- 3 3.00000+ 1 3.20000+ 1 2.13219- 3 1.24466- 3 3.00000+ 1 3.30000+ 1 5.81851- 3 1.25505- 3 3.00000+ 1 3.50000+ 1 3.54225- 3 1.36166- 3 3.00000+ 1 3.60000+ 1 4.28958- 3 1.36295- 3 3.00000+ 1 4.10000+ 1 5.08383- 3 1.31489- 3 3.00000+ 1 4.30000+ 1 1.37586- 3 1.33481- 3 3.00000+ 1 4.40000+ 1 1.21195- 3 1.34606- 3 3.00000+ 1 5.80000+ 1 4.06990- 4 1.36446- 3 3.20000+ 1 3.20000+ 1 1.09131- 3 1.34462- 3 3.20000+ 1 3.30000+ 1 3.53528- 3 1.35501- 3 3.20000+ 1 3.50000+ 1 3.20222- 4 1.46162- 3 3.20000+ 1 3.60000+ 1 2.26356- 4 1.46291- 3 3.20000+ 1 4.10000+ 1 5.16581- 3 1.41485- 3 3.20000+ 1 4.30000+ 1 4.84009- 4 1.43477- 3 3.20000+ 1 4.40000+ 1 1.89555- 4 1.44602- 3 3.20000+ 1 5.80000+ 1 4.10398- 4 1.46442- 3 3.30000+ 1 3.30000+ 1 2.21607- 3 1.36540- 3 3.30000+ 1 3.50000+ 1 2.52334- 4 1.47201- 3 3.30000+ 1 3.60000+ 1 4.58942- 4 1.47330- 3 3.30000+ 1 4.10000+ 1 7.04157- 3 1.42524- 3 3.30000+ 1 4.30000+ 1 2.81583- 4 1.44516- 3 3.30000+ 1 4.40000+ 1 6.50932- 4 1.45641- 3 3.30000+ 1 5.80000+ 1 5.59508- 4 1.47481- 3 3.50000+ 1 3.50000+ 1 2.36398- 5 1.57862- 3 3.50000+ 1 3.60000+ 1 4.90973- 5 1.57991- 3 3.50000+ 1 4.10000+ 1 1.49299- 3 1.53185- 3 3.50000+ 1 4.30000+ 1 8.18312- 5 1.55177- 3 3.50000+ 1 4.40000+ 1 4.07328- 4 1.56302- 3 3.50000+ 1 5.80000+ 1 1.18199- 4 1.58142- 3 3.60000+ 1 3.60000+ 1 3.87513- 5 1.58120- 3 3.60000+ 1 4.10000+ 1 1.85088- 3 1.53314- 3 3.60000+ 1 4.30000+ 1 4.42878- 5 1.55306- 3 3.60000+ 1 4.40000+ 1 4.92695- 4 1.56431- 3 3.60000+ 1 5.80000+ 1 1.45774- 4 1.58271- 3 4.10000+ 1 4.10000+ 1 4.40440- 4 1.48508- 3 4.10000+ 1 4.30000+ 1 5.56357- 4 1.50500- 3 4.10000+ 1 4.40000+ 1 7.61117- 4 1.51625- 3 4.10000+ 1 5.80000+ 1 7.14770- 5 1.53465- 3 4.30000+ 1 4.30000+ 1 3.63624- 5 1.52492- 3 4.30000+ 1 4.40000+ 1 1.51188- 4 1.53617- 3 4.30000+ 1 5.80000+ 1 4.40185- 5 1.55457- 3 4.40000+ 1 4.40000+ 1 8.18187- 5 1.54742- 3 4.40000+ 1 5.80000+ 1 6.34106- 5 1.56582- 3 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.08047- 3 5.50300- 4 2.70000+ 1 2.50585- 4 1.06576- 3 3.20000+ 1 6.61145- 5 1.30291- 3 4.10000+ 1 5.11736- 5 1.37314- 3 5.80000+ 1 4.59737- 6 1.42271- 3 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.00000+ 1 1.55711- 2 5.59500- 5 1.90000+ 1 3.20000+ 1 9.88980- 3 1.55910- 4 1.90000+ 1 3.30000+ 1 1.42567- 2 1.66300- 4 1.90000+ 1 3.50000+ 1 1.53678- 3 2.72910- 4 1.90000+ 1 3.60000+ 1 2.24430- 3 2.74200- 4 1.90000+ 1 4.10000+ 1 1.90394- 3 2.26140- 4 1.90000+ 1 4.30000+ 1 2.15958- 3 2.46060- 4 1.90000+ 1 4.40000+ 1 1.76449- 3 2.57310- 4 1.90000+ 1 5.80000+ 1 1.55455- 4 2.75710- 4 2.10000+ 1 2.40000+ 1 7.77161- 2 7.92700- 5 2.10000+ 1 2.50000+ 1 2.03280- 1 9.31300- 5 2.10000+ 1 2.70000+ 1 3.12977- 2 1.87860- 4 2.10000+ 1 2.90000+ 1 2.58190- 2 2.55240- 4 2.10000+ 1 3.00000+ 1 2.97221- 2 3.25050- 4 2.10000+ 1 3.20000+ 1 1.64533- 2 4.25010- 4 2.10000+ 1 3.30000+ 1 2.36138- 2 4.35400- 4 2.10000+ 1 3.50000+ 1 1.54864- 3 5.42010- 4 2.10000+ 1 3.60000+ 1 2.87595- 3 5.43300- 4 2.10000+ 1 4.10000+ 1 6.02934- 3 4.95240- 4 2.10000+ 1 4.30000+ 1 3.94252- 3 5.15160- 4 2.10000+ 1 4.40000+ 1 4.20159- 3 5.26410- 4 2.10000+ 1 5.80000+ 1 5.12019- 4 5.44810- 4 2.20000+ 1 2.40000+ 1 4.16754- 2 1.30490- 4 2.20000+ 1 2.50000+ 1 1.04896- 2 1.44350- 4 2.20000+ 1 2.70000+ 1 4.86593- 3 2.39080- 4 2.20000+ 1 2.90000+ 1 2.12596- 2 3.06460- 4 2.20000+ 1 3.00000+ 1 4.04655- 3 3.76270- 4 2.20000+ 1 3.20000+ 1 1.90558- 3 4.76230- 4 2.20000+ 1 3.30000+ 1 2.18905- 3 4.86620- 4 2.20000+ 1 3.50000+ 1 4.51971- 4 5.93230- 4 2.20000+ 1 3.60000+ 1 2.79255- 4 5.94520- 4 2.20000+ 1 4.10000+ 1 7.14273- 4 5.46460- 4 2.20000+ 1 4.30000+ 1 2.24102- 3 5.66380- 4 2.20000+ 1 4.40000+ 1 4.34708- 4 5.77630- 4 2.20000+ 1 5.80000+ 1 5.84604- 5 5.96030- 4 2.40000+ 1 2.40000+ 1 1.88681- 3 4.86140- 4 2.40000+ 1 2.50000+ 1 9.64587- 3 5.00000- 4 2.40000+ 1 2.70000+ 1 4.81530- 3 5.94730- 4 2.40000+ 1 2.90000+ 1 1.84298- 2 6.62110- 4 2.40000+ 1 3.00000+ 1 2.12100- 3 7.31920- 4 2.40000+ 1 3.20000+ 1 5.70668- 3 8.31880- 4 2.40000+ 1 3.30000+ 1 4.71766- 3 8.42270- 4 2.40000+ 1 3.50000+ 1 5.10077- 4 9.48880- 4 2.40000+ 1 3.60000+ 1 3.44604- 4 9.50170- 4 2.40000+ 1 4.10000+ 1 9.35965- 4 9.02110- 4 2.40000+ 1 4.30000+ 1 1.98167- 3 9.22030- 4 2.40000+ 1 4.40000+ 1 2.62472- 4 9.33280- 4 2.40000+ 1 5.80000+ 1 7.91199- 5 9.51680- 4 2.50000+ 1 2.50000+ 1 5.11760- 4 5.13860- 4 2.50000+ 1 2.70000+ 1 2.62132- 3 6.08590- 4 2.50000+ 1 2.90000+ 1 2.80837- 2 6.75970- 4 2.50000+ 1 3.00000+ 1 1.50884- 3 7.45780- 4 2.50000+ 1 3.20000+ 1 1.21129- 2 8.45740- 4 2.50000+ 1 3.30000+ 1 1.17825- 3 8.56130- 4 2.50000+ 1 3.50000+ 1 1.05206- 4 9.62740- 4 2.50000+ 1 3.60000+ 1 6.43771- 5 9.64030- 4 2.50000+ 1 4.10000+ 1 3.74435- 4 9.15970- 4 2.50000+ 1 4.30000+ 1 2.89027- 3 9.35890- 4 2.50000+ 1 4.40000+ 1 1.77669- 4 9.47140- 4 2.50000+ 1 5.80000+ 1 3.03174- 5 9.65540- 4 2.70000+ 1 2.70000+ 1 2.16267- 3 7.03320- 4 2.70000+ 1 2.90000+ 1 2.78856- 2 7.70700- 4 2.70000+ 1 3.00000+ 1 5.32780- 3 8.40510- 4 2.70000+ 1 3.20000+ 1 7.13087- 3 9.40470- 4 2.70000+ 1 3.30000+ 1 4.88327- 3 9.50860- 4 2.70000+ 1 3.50000+ 1 3.94042- 4 1.05747- 3 2.70000+ 1 3.60000+ 1 8.13270- 4 1.05876- 3 2.70000+ 1 4.10000+ 1 6.36949- 4 1.01070- 3 2.70000+ 1 4.30000+ 1 2.84105- 3 1.03062- 3 2.70000+ 1 4.40000+ 1 6.78311- 4 1.04187- 3 2.70000+ 1 5.80000+ 1 5.21796- 5 1.06027- 3 2.90000+ 1 2.90000+ 1 1.92048- 2 8.38080- 4 2.90000+ 1 3.00000+ 1 4.96234- 2 9.07890- 4 2.90000+ 1 3.20000+ 1 4.07592- 2 1.00785- 3 2.90000+ 1 3.30000+ 1 6.77479- 2 1.01824- 3 2.90000+ 1 3.50000+ 1 1.37385- 2 1.12485- 3 2.90000+ 1 3.60000+ 1 1.83073- 2 1.12614- 3 2.90000+ 1 4.10000+ 1 5.53829- 3 1.07808- 3 2.90000+ 1 4.30000+ 1 5.18489- 3 1.09800- 3 2.90000+ 1 4.40000+ 1 7.09094- 3 1.10925- 3 2.90000+ 1 5.80000+ 1 4.70698- 4 1.12765- 3 3.00000+ 1 3.00000+ 1 1.55594- 3 9.77700- 4 3.00000+ 1 3.20000+ 1 7.04358- 3 1.07766- 3 3.00000+ 1 3.30000+ 1 3.27193- 3 1.08805- 3 3.00000+ 1 3.50000+ 1 4.38079- 4 1.19466- 3 3.00000+ 1 3.60000+ 1 6.54397- 4 1.19595- 3 3.00000+ 1 4.10000+ 1 7.27081- 4 1.14789- 3 3.00000+ 1 4.30000+ 1 5.20602- 3 1.16781- 3 3.00000+ 1 4.40000+ 1 3.74460- 4 1.17906- 3 3.00000+ 1 5.80000+ 1 5.81679- 5 1.19746- 3 3.20000+ 1 3.20000+ 1 2.32731- 3 1.17762- 3 3.20000+ 1 3.30000+ 1 3.41634- 3 1.18801- 3 3.20000+ 1 3.50000+ 1 2.03173- 3 1.29462- 3 3.20000+ 1 3.60000+ 1 3.29814- 3 1.29591- 3 3.20000+ 1 4.10000+ 1 1.09366- 3 1.24785- 3 3.20000+ 1 4.30000+ 1 3.75716- 3 1.26777- 3 3.20000+ 1 4.40000+ 1 8.38561- 4 1.27902- 3 3.20000+ 1 5.80000+ 1 9.17866- 5 1.29742- 3 3.30000+ 1 3.30000+ 1 5.99506- 4 1.19840- 3 3.30000+ 1 3.50000+ 1 5.42555- 4 1.30501- 3 3.30000+ 1 3.60000+ 1 2.94214- 4 1.30630- 3 3.30000+ 1 4.10000+ 1 5.26744- 4 1.25824- 3 3.30000+ 1 4.30000+ 1 6.26539- 3 1.27816- 3 3.30000+ 1 4.40000+ 1 3.29011- 4 1.28941- 3 3.30000+ 1 5.80000+ 1 4.11267- 5 1.30781- 3 3.50000+ 1 3.50000+ 1 3.45993- 5 1.41162- 3 3.50000+ 1 3.60000+ 1 6.26084- 5 1.41291- 3 3.50000+ 1 4.10000+ 1 6.42562- 5 1.36485- 3 3.50000+ 1 4.30000+ 1 1.26703- 3 1.38477- 3 3.50000+ 1 4.40000+ 1 4.61336- 5 1.39602- 3 3.50000+ 1 5.80000+ 1 4.94282- 6 1.41442- 3 3.60000+ 1 3.60000+ 1 1.33126- 5 1.41420- 3 3.60000+ 1 4.10000+ 1 1.03174- 4 1.36614- 3 3.60000+ 1 4.30000+ 1 1.71226- 3 1.38606- 3 3.60000+ 1 4.40000+ 1 6.48964- 5 1.39731- 3 3.60000+ 1 5.80000+ 1 8.31992- 6 1.41571- 3 4.10000+ 1 4.10000+ 1 4.14241- 5 1.31808- 3 4.10000+ 1 4.30000+ 1 4.84806- 4 1.33800- 3 4.10000+ 1 4.40000+ 1 7.82423- 5 1.34925- 3 4.10000+ 1 5.80000+ 1 6.13671- 6 1.36765- 3 4.30000+ 1 4.30000+ 1 3.12623- 4 1.35792- 3 4.30000+ 1 4.40000+ 1 7.08124- 4 1.36917- 3 4.30000+ 1 5.80000+ 1 4.66345- 5 1.38757- 3 4.40000+ 1 4.40000+ 1 2.31510- 5 1.38042- 3 4.40000+ 1 5.80000+ 1 7.71647- 6 1.39882- 3 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.20200- 5 2.69100- 4 2.20000+ 1 1.90671- 4 3.20320- 4 2.70000+ 1 3.12991- 4 7.84560- 4 3.20000+ 1 3.57681- 5 1.02171- 3 3.30000+ 1 2.09031- 4 1.03210- 3 4.10000+ 1 6.11982- 5 1.09194- 3 5.80000+ 1 5.47161- 6 1.14151- 3 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.00000+ 1 4.95206- 2 4.38500- 5 2.10000+ 1 3.20000+ 1 1.83411- 2 1.43810- 4 2.10000+ 1 3.30000+ 1 2.75537- 2 1.54200- 4 2.10000+ 1 3.50000+ 1 2.34444- 3 2.60810- 4 2.10000+ 1 3.60000+ 1 2.04643- 3 2.62100- 4 2.10000+ 1 4.10000+ 1 3.94401- 3 2.14040- 4 2.10000+ 1 4.30000+ 1 2.81613- 3 2.33960- 4 2.10000+ 1 4.40000+ 1 5.87623- 3 2.45210- 4 2.10000+ 1 5.80000+ 1 3.27622- 4 2.63610- 4 2.20000+ 1 2.90000+ 1 1.24376- 1 2.52600- 5 2.20000+ 1 3.00000+ 1 1.33536- 1 9.50700- 5 2.20000+ 1 3.20000+ 1 1.19411- 1 1.95030- 4 2.20000+ 1 3.30000+ 1 1.43076- 1 2.05420- 4 2.20000+ 1 3.50000+ 1 6.99382- 3 3.12030- 4 2.20000+ 1 3.60000+ 1 8.85434- 3 3.13320- 4 2.20000+ 1 4.10000+ 1 2.23357- 2 2.65260- 4 2.20000+ 1 4.30000+ 1 1.96810- 2 2.85180- 4 2.20000+ 1 4.40000+ 1 1.76690- 2 2.96430- 4 2.20000+ 1 5.80000+ 1 1.86861- 3 3.14830- 4 2.40000+ 1 2.40000+ 1 9.92295- 4 2.04940- 4 2.40000+ 1 2.50000+ 1 3.13859- 3 2.18800- 4 2.40000+ 1 2.70000+ 1 9.69802- 3 3.13530- 4 2.40000+ 1 2.90000+ 1 5.00779- 3 3.80910- 4 2.40000+ 1 3.00000+ 1 5.41701- 2 4.50720- 4 2.40000+ 1 3.20000+ 1 2.16260- 3 5.50680- 4 2.40000+ 1 3.30000+ 1 7.77081- 3 5.61070- 4 2.40000+ 1 3.50000+ 1 5.32341- 4 6.67680- 4 2.40000+ 1 3.60000+ 1 5.14023- 4 6.68970- 4 2.40000+ 1 4.10000+ 1 1.15067- 3 6.20910- 4 2.40000+ 1 4.30000+ 1 6.81873- 4 6.40830- 4 2.40000+ 1 4.40000+ 1 5.17086- 3 6.52080- 4 2.40000+ 1 5.80000+ 1 9.12673- 5 6.70480- 4 2.50000+ 1 2.50000+ 1 3.45981- 3 2.32660- 4 2.50000+ 1 2.70000+ 1 2.25668- 2 3.27390- 4 2.50000+ 1 2.90000+ 1 1.77605- 2 3.94770- 4 2.50000+ 1 3.00000+ 1 6.52512- 2 4.64580- 4 2.50000+ 1 3.20000+ 1 1.61220- 3 5.64540- 4 2.50000+ 1 3.30000+ 1 1.11033- 2 5.74930- 4 2.50000+ 1 3.50000+ 1 2.09323- 3 6.81540- 4 2.50000+ 1 3.60000+ 1 2.57694- 3 6.82830- 4 2.50000+ 1 4.10000+ 1 3.26915- 3 6.34770- 4 2.50000+ 1 4.30000+ 1 2.54618- 3 6.54690- 4 2.50000+ 1 4.40000+ 1 6.29398- 3 6.65940- 4 2.50000+ 1 5.80000+ 1 2.67053- 4 6.84340- 4 2.70000+ 1 2.70000+ 1 4.38302- 5 4.22120- 4 2.70000+ 1 2.90000+ 1 2.62705- 4 4.89500- 4 2.70000+ 1 3.00000+ 1 5.02547- 3 5.59310- 4 2.70000+ 1 3.20000+ 1 4.62707- 4 6.59270- 4 2.70000+ 1 3.30000+ 1 7.73402- 4 6.69660- 4 2.70000+ 1 3.50000+ 1 1.57569- 4 7.76270- 4 2.70000+ 1 3.60000+ 1 1.53685- 4 7.77560- 4 2.70000+ 1 4.10000+ 1 1.85858- 5 7.29500- 4 2.70000+ 1 4.30000+ 1 2.74637- 5 7.49420- 4 2.70000+ 1 4.40000+ 1 4.58833- 4 7.60670- 4 2.70000+ 1 5.80000+ 1 1.66439- 6 7.79070- 4 2.90000+ 1 2.90000+ 1 2.77416- 6 5.56880- 4 2.90000+ 1 3.00000+ 1 5.77465- 3 6.26690- 4 2.90000+ 1 3.20000+ 1 2.60768- 4 7.26650- 4 2.90000+ 1 3.30000+ 1 7.08780- 4 7.37040- 4 2.90000+ 1 3.50000+ 1 1.25108- 4 8.43650- 4 2.90000+ 1 3.60000+ 1 2.76575- 4 8.44940- 4 2.90000+ 1 4.10000+ 1 4.57731- 5 7.96880- 4 2.90000+ 1 4.30000+ 1 5.54822- 6 8.16800- 4 2.90000+ 1 4.40000+ 1 5.42059- 4 8.28050- 4 2.90000+ 1 5.80000+ 1 3.88370- 6 8.46450- 4 3.00000+ 1 3.00000+ 1 7.25656- 3 6.96500- 4 3.00000+ 1 3.20000+ 1 8.76679- 3 7.96460- 4 3.00000+ 1 3.30000+ 1 1.16457- 2 8.06850- 4 3.00000+ 1 3.50000+ 1 2.75846- 3 9.13460- 4 3.00000+ 1 3.60000+ 1 3.25275- 3 9.14750- 4 3.00000+ 1 4.10000+ 1 9.99766- 4 8.66690- 4 3.00000+ 1 4.30000+ 1 9.18483- 4 8.86610- 4 3.00000+ 1 4.40000+ 1 1.72072- 3 8.97860- 4 3.00000+ 1 5.80000+ 1 8.48851- 5 9.16260- 4 3.20000+ 1 3.20000+ 1 1.74500- 4 8.96420- 4 3.20000+ 1 3.30000+ 1 1.04613- 3 9.06810- 4 3.20000+ 1 3.50000+ 1 6.25381- 5 1.01342- 3 3.20000+ 1 3.60000+ 1 1.17257- 4 1.01471- 3 3.20000+ 1 4.10000+ 1 6.36544- 5 9.66650- 4 3.20000+ 1 4.30000+ 1 4.24366- 5 9.86570- 4 3.20000+ 1 4.40000+ 1 8.37289- 4 9.97820- 4 3.20000+ 1 5.80000+ 1 5.30460- 6 1.01622- 3 3.30000+ 1 3.30000+ 1 9.90623- 4 9.17200- 4 3.30000+ 1 3.50000+ 1 2.07782- 4 1.02381- 3 3.30000+ 1 3.60000+ 1 2.81015- 4 1.02510- 3 3.30000+ 1 4.10000+ 1 1.46749- 4 9.77040- 4 3.30000+ 1 4.30000+ 1 1.17619- 4 9.96960- 4 3.30000+ 1 4.40000+ 1 1.11954- 3 1.00821- 3 3.30000+ 1 5.80000+ 1 1.24827- 5 1.02661- 3 3.50000+ 1 3.50000+ 1 3.34502- 6 1.13042- 3 3.50000+ 1 3.60000+ 1 1.81198- 5 1.13171- 3 3.50000+ 1 4.10000+ 1 1.95129- 5 1.08365- 3 3.50000+ 1 4.30000+ 1 7.24760- 6 1.10357- 3 3.50000+ 1 4.40000+ 1 2.53952- 4 1.11482- 3 3.50000+ 1 5.80000+ 1 1.39373- 6 1.13322- 3 3.60000+ 1 3.60000+ 1 1.13658- 5 1.13300- 3 3.60000+ 1 4.10000+ 1 2.04604- 5 1.08494- 3 3.60000+ 1 4.30000+ 1 1.61977- 5 1.10486- 3 3.60000+ 1 4.40000+ 1 3.03772- 4 1.11611- 3 3.60000+ 1 5.80000+ 1 1.70498- 6 1.13451- 3 4.10000+ 1 4.10000+ 1 2.85335- 7 1.03688- 3 4.10000+ 1 4.30000+ 1 3.42395- 6 1.05680- 3 4.10000+ 1 4.40000+ 1 9.41590- 5 1.06805- 3 4.30000+ 1 4.40000+ 1 9.07595- 5 1.08797- 3 4.30000+ 1 5.80000+ 1 2.92779- 7 1.10637- 3 4.40000+ 1 4.40000+ 1 1.04113- 4 1.09922- 3 4.40000+ 1 5.80000+ 1 8.37693- 6 1.11762- 3 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.90130- 4 4.06870- 4 2.90000+ 1 1.92800- 4 5.82840- 4 3.00000+ 1 2.09730- 5 6.52650- 4 3.50000+ 1 7.26310- 5 8.69610- 4 4.30000+ 1 3.28050- 5 8.42760- 4 4.40000+ 1 3.26660- 6 8.54010- 4 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.50000+ 1 3.32758- 3 4.29300- 5 2.20000+ 1 3.60000+ 1 3.98381- 3 4.42200- 5 2.20000+ 1 4.30000+ 1 1.31554- 3 1.60800- 5 2.20000+ 1 4.40000+ 1 2.83832- 3 2.73300- 5 2.20000+ 1 5.80000+ 1 1.89760- 4 4.57300- 5 2.40000+ 1 2.70000+ 1 1.23045- 1 4.44300- 5 2.40000+ 1 2.90000+ 1 1.10655- 1 1.11810- 4 2.40000+ 1 3.00000+ 1 1.26362- 1 1.81620- 4 2.40000+ 1 3.20000+ 1 1.29359- 1 2.81580- 4 2.40000+ 1 3.30000+ 1 1.35234- 1 2.91970- 4 2.40000+ 1 3.50000+ 1 5.20004- 3 3.98580- 4 2.40000+ 1 3.60000+ 1 4.02965- 3 3.99870- 4 2.40000+ 1 4.10000+ 1 2.38406- 2 3.51810- 4 2.40000+ 1 4.30000+ 1 1.76178- 2 3.71730- 4 2.40000+ 1 4.40000+ 1 1.75350- 2 3.82980- 4 2.40000+ 1 5.80000+ 1 2.03227- 3 4.01380- 4 2.50000+ 1 2.70000+ 1 8.73828- 3 5.82900- 5 2.50000+ 1 2.90000+ 1 1.82758- 2 1.25670- 4 2.50000+ 1 3.00000+ 1 8.21094- 3 1.95480- 4 2.50000+ 1 3.20000+ 1 1.37129- 1 2.95440- 4 2.50000+ 1 3.30000+ 1 5.76789- 3 3.05830- 4 2.50000+ 1 3.50000+ 1 1.65983- 3 4.12440- 4 2.50000+ 1 3.60000+ 1 4.60474- 4 4.13730- 4 2.50000+ 1 4.10000+ 1 1.22582- 3 3.65670- 4 2.50000+ 1 4.30000+ 1 1.78562- 3 3.85590- 4 2.50000+ 1 4.40000+ 1 8.65515- 4 3.96840- 4 2.50000+ 1 5.80000+ 1 1.00621- 4 4.15240- 4 2.70000+ 1 2.70000+ 1 8.63438- 4 1.53020- 4 2.70000+ 1 2.90000+ 1 2.14433- 3 2.20400- 4 2.70000+ 1 3.00000+ 1 1.55382- 3 2.90210- 4 2.70000+ 1 3.20000+ 1 1.22289- 2 3.90170- 4 2.70000+ 1 3.30000+ 1 1.86256- 3 4.00560- 4 2.70000+ 1 3.50000+ 1 1.27835- 3 5.07170- 4 2.70000+ 1 3.60000+ 1 1.04774- 3 5.08460- 4 2.70000+ 1 4.10000+ 1 1.97847- 4 4.60400- 4 2.70000+ 1 4.30000+ 1 2.27263- 4 4.80320- 4 2.70000+ 1 4.40000+ 1 1.73547- 4 4.91570- 4 2.70000+ 1 5.80000+ 1 1.62026- 5 5.09970- 4 2.90000+ 1 2.90000+ 1 5.03141- 4 2.87780- 4 2.90000+ 1 3.00000+ 1 2.02962- 3 3.57590- 4 2.90000+ 1 3.20000+ 1 8.76481- 3 4.57550- 4 2.90000+ 1 3.30000+ 1 9.59371- 4 4.67940- 4 2.90000+ 1 3.50000+ 1 1.85904- 4 5.74550- 4 2.90000+ 1 3.60000+ 1 1.62864- 4 5.75840- 4 2.90000+ 1 4.10000+ 1 1.56919- 4 5.27780- 4 2.90000+ 1 4.30000+ 1 1.10428- 4 5.47700- 4 2.90000+ 1 4.40000+ 1 1.64153- 4 5.58950- 4 2.90000+ 1 5.80000+ 1 1.27914- 5 5.77350- 4 3.00000+ 1 3.00000+ 1 6.98814- 4 4.27400- 4 3.00000+ 1 3.20000+ 1 1.77765- 2 5.27360- 4 3.00000+ 1 3.30000+ 1 1.50159- 3 5.37750- 4 3.00000+ 1 3.50000+ 1 5.12076- 4 6.44360- 4 3.00000+ 1 3.60000+ 1 2.87381- 4 6.45650- 4 3.00000+ 1 4.10000+ 1 7.37621- 5 5.97590- 4 3.00000+ 1 4.30000+ 1 1.49220- 4 6.17510- 4 3.00000+ 1 4.40000+ 1 1.21085- 4 6.28760- 4 3.00000+ 1 5.80000+ 1 5.54290- 6 6.47160- 4 3.20000+ 1 3.20000+ 1 1.14721- 2 6.27320- 4 3.20000+ 1 3.30000+ 1 2.22898- 2 6.37710- 4 3.20000+ 1 3.50000+ 1 4.73951- 3 7.44320- 4 3.20000+ 1 3.60000+ 1 6.38959- 3 7.45610- 4 3.20000+ 1 4.10000+ 1 1.90116- 3 6.97550- 4 3.20000+ 1 4.30000+ 1 1.42627- 3 7.17470- 4 3.20000+ 1 4.40000+ 1 2.42262- 3 7.28720- 4 3.20000+ 1 5.80000+ 1 1.59892- 4 7.47120- 4 3.30000+ 1 3.30000+ 1 3.65467- 4 6.48100- 4 3.30000+ 1 3.50000+ 1 5.38283- 4 7.54710- 4 3.30000+ 1 3.60000+ 1 1.78191- 4 7.56000- 4 3.30000+ 1 4.10000+ 1 7.05340- 5 7.07940- 4 3.30000+ 1 4.30000+ 1 7.75466- 5 7.27860- 4 3.30000+ 1 4.40000+ 1 1.32404- 4 7.39110- 4 3.30000+ 1 5.80000+ 1 5.77470- 6 7.57510- 4 3.50000+ 1 3.50000+ 1 4.43954- 5 8.61320- 4 3.50000+ 1 3.60000+ 1 8.28168- 5 8.62610- 4 3.50000+ 1 4.10000+ 1 7.34246- 5 8.14550- 4 3.50000+ 1 4.30000+ 1 2.90281- 5 8.34470- 4 3.50000+ 1 4.40000+ 1 5.59224- 5 8.45720- 4 3.50000+ 1 5.80000+ 1 5.12278- 6 8.64120- 4 3.60000+ 1 3.60000+ 1 1.08620- 5 8.63900- 4 3.60000+ 1 4.10000+ 1 5.33225- 5 8.15840- 4 3.60000+ 1 4.30000+ 1 2.56744- 5 8.35760- 4 3.60000+ 1 4.40000+ 1 3.11051- 5 8.47010- 4 3.60000+ 1 5.80000+ 1 3.45598- 6 8.65410- 4 4.10000+ 1 4.10000+ 1 6.09447- 6 7.67780- 4 4.10000+ 1 4.30000+ 1 1.17195- 5 7.87700- 4 4.10000+ 1 4.40000+ 1 7.96949- 6 7.98950- 4 4.10000+ 1 5.80000+ 1 9.37586- 7 8.17350- 4 4.30000+ 1 4.30000+ 1 2.16294- 6 8.07620- 4 4.30000+ 1 4.40000+ 1 1.16799- 5 8.18870- 4 4.30000+ 1 5.80000+ 1 8.65164- 7 8.37270- 4 4.40000+ 1 4.40000+ 1 6.10015- 6 8.30120- 4 4.40000+ 1 5.80000+ 1 5.08346- 7 8.48520- 4 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.74113- 5 3.55650- 4 2.50000+ 1 4.01012- 4 3.69510- 4 3.00000+ 1 1.54271- 4 6.01430- 4 3.50000+ 1 4.81092- 6 8.18390- 4 3.60000+ 1 7.98128- 5 8.19680- 4 4.40000+ 1 2.40681- 5 8.02790- 4 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.70000+ 1 8.30834- 3 0.00000+ 0 2.40000+ 1 2.90000+ 1 8.23045- 3 6.05900- 5 2.40000+ 1 3.00000+ 1 1.54485- 2 1.30400- 4 2.40000+ 1 3.20000+ 1 7.60081- 3 2.30360- 4 2.40000+ 1 3.30000+ 1 1.05400- 1 2.40750- 4 2.40000+ 1 3.50000+ 1 8.07983- 4 3.47360- 4 2.40000+ 1 3.60000+ 1 9.13244- 4 3.48650- 4 2.40000+ 1 4.10000+ 1 2.04095- 3 3.00590- 4 2.40000+ 1 4.30000+ 1 1.33018- 3 3.20510- 4 2.40000+ 1 4.40000+ 1 1.76811- 3 3.31760- 4 2.40000+ 1 5.80000+ 1 1.70477- 4 3.50160- 4 2.50000+ 1 2.70000+ 1 1.11102- 1 7.07000- 6 2.50000+ 1 2.90000+ 1 1.23817- 1 7.44500- 5 2.50000+ 1 3.00000+ 1 1.09980- 1 1.44260- 4 2.50000+ 1 3.20000+ 1 1.10738- 1 2.44220- 4 2.50000+ 1 3.30000+ 1 1.97049- 1 2.54610- 4 2.50000+ 1 3.50000+ 1 3.77032- 3 3.61220- 4 2.50000+ 1 3.60000+ 1 6.79190- 3 3.62510- 4 2.50000+ 1 4.10000+ 1 2.26073- 2 3.14450- 4 2.50000+ 1 4.30000+ 1 1.92473- 2 3.34370- 4 2.50000+ 1 4.40000+ 1 1.54228- 2 3.45620- 4 2.50000+ 1 5.80000+ 1 1.92178- 3 3.64020- 4 2.70000+ 1 2.70000+ 1 1.62178- 3 1.01800- 4 2.70000+ 1 2.90000+ 1 2.36144- 3 1.69180- 4 2.70000+ 1 3.00000+ 1 3.34280- 3 2.38990- 4 2.70000+ 1 3.20000+ 1 2.92063- 3 3.38950- 4 2.70000+ 1 3.30000+ 1 1.48231- 2 3.49340- 4 2.70000+ 1 3.50000+ 1 1.25728- 3 4.55950- 4 2.70000+ 1 3.60000+ 1 1.93305- 3 4.57240- 4 2.70000+ 1 4.10000+ 1 3.60572- 4 4.09180- 4 2.70000+ 1 4.30000+ 1 2.62826- 4 4.29100- 4 2.70000+ 1 4.40000+ 1 3.69362- 4 4.40350- 4 2.70000+ 1 5.80000+ 1 2.90562- 5 4.58750- 4 2.90000+ 1 2.90000+ 1 3.30146- 4 2.36560- 4 2.90000+ 1 3.00000+ 1 3.80460- 3 3.06370- 4 2.90000+ 1 3.20000+ 1 5.91245- 4 4.06330- 4 2.90000+ 1 3.30000+ 1 1.34386- 2 4.16720- 4 2.90000+ 1 3.50000+ 1 1.94275- 4 5.23330- 4 2.90000+ 1 3.60000+ 1 4.06265- 4 5.24620- 4 2.90000+ 1 4.10000+ 1 1.60649- 4 4.76560- 4 2.90000+ 1 4.30000+ 1 7.39069- 5 4.96480- 4 2.90000+ 1 4.40000+ 1 3.08899- 4 5.07730- 4 2.90000+ 1 5.80000+ 1 1.23908- 5 5.26130- 4 3.00000+ 1 3.00000+ 1 1.19705- 3 3.76180- 4 3.00000+ 1 3.20000+ 1 2.28417- 3 4.76140- 4 3.00000+ 1 3.30000+ 1 1.69718- 2 4.86530- 4 3.00000+ 1 3.50000+ 1 3.83131- 4 5.93140- 4 3.00000+ 1 3.60000+ 1 5.04245- 4 5.94430- 4 3.00000+ 1 4.10000+ 1 1.05661- 4 5.46370- 4 3.00000+ 1 4.30000+ 1 1.58074- 4 5.66290- 4 3.00000+ 1 4.40000+ 1 2.10463- 4 5.77540- 4 3.00000+ 1 5.80000+ 1 7.30179- 6 5.95940- 4 3.20000+ 1 3.20000+ 1 1.41816- 4 5.76100- 4 3.20000+ 1 3.30000+ 1 1.64693- 2 5.86490- 4 3.20000+ 1 3.50000+ 1 1.27560- 4 6.93100- 4 3.20000+ 1 3.60000+ 1 4.74540- 4 6.94390- 4 3.20000+ 1 4.10000+ 1 7.21687- 5 6.46330- 4 3.20000+ 1 4.30000+ 1 4.86720- 5 6.66250- 4 3.20000+ 1 4.40000+ 1 2.14420- 4 6.77500- 4 3.20000+ 1 5.80000+ 1 5.45471- 6 6.95900- 4 3.30000+ 1 3.30000+ 1 1.83561- 2 5.96880- 4 3.30000+ 1 3.50000+ 1 5.39196- 3 7.03490- 4 3.30000+ 1 3.60000+ 1 6.32905- 3 7.04780- 4 3.30000+ 1 4.10000+ 1 1.96070- 3 6.56720- 4 3.30000+ 1 4.30000+ 1 1.83231- 3 6.76640- 4 3.30000+ 1 4.40000+ 1 2.31614- 3 6.87890- 4 3.30000+ 1 5.80000+ 1 1.64616- 4 7.06290- 4 3.50000+ 1 3.50000+ 1 1.00331- 5 8.10100- 4 3.50000+ 1 3.60000+ 1 7.59027- 5 8.11390- 4 3.50000+ 1 4.10000+ 1 5.45269- 5 7.63330- 4 3.50000+ 1 4.30000+ 1 1.87574- 5 7.83250- 4 3.50000+ 1 4.40000+ 1 3.31533- 5 7.94500- 4 3.50000+ 1 5.80000+ 1 3.92600- 6 8.12900- 4 3.60000+ 1 3.60000+ 1 6.34483- 5 8.12680- 4 3.60000+ 1 4.10000+ 1 9.53884- 5 7.64620- 4 3.60000+ 1 4.30000+ 1 3.50062- 5 7.84540- 4 3.60000+ 1 4.40000+ 1 5.33828- 5 7.95790- 4 3.60000+ 1 5.80000+ 1 6.56352- 6 8.14190- 4 4.10000+ 1 4.10000+ 1 1.06808- 5 7.16560- 4 4.10000+ 1 4.30000+ 1 1.37959- 5 7.36480- 4 4.10000+ 1 4.40000+ 1 1.29061- 5 7.47730- 4 4.10000+ 1 5.80000+ 1 1.78006- 6 7.66130- 4 4.30000+ 1 4.30000+ 1 2.96676- 6 7.56400- 4 4.30000+ 1 4.40000+ 1 1.63172- 5 7.67650- 4 4.30000+ 1 5.80000+ 1 9.88944- 7 7.86050- 4 4.40000+ 1 4.40000+ 1 1.15292- 5 7.78900- 4 4.40000+ 1 5.80000+ 1 9.60751- 7 7.97300- 4 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.16095- 4 3.45740- 4 3.30000+ 1 7.27556- 6 3.56130- 4 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 3.50000+ 1 1.59115- 1 5.57000- 6 2.50000+ 1 3.60000+ 1 8.89386- 3 6.86000- 6 2.50000+ 1 5.80000+ 1 2.41678- 4 8.37000- 6 2.70000+ 1 3.50000+ 1 5.41057- 2 1.00300- 4 2.70000+ 1 3.60000+ 1 9.33528- 3 1.01590- 4 2.70000+ 1 4.10000+ 1 1.36306- 3 5.35300- 5 2.70000+ 1 4.30000+ 1 1.67355- 3 7.34500- 5 2.70000+ 1 4.40000+ 1 3.42744- 3 8.47000- 5 2.70000+ 1 5.80000+ 1 8.51835- 5 1.03100- 4 2.90000+ 1 3.20000+ 1 3.01255- 2 5.06800- 5 2.90000+ 1 3.30000+ 1 6.31656- 2 6.10700- 5 2.90000+ 1 3.50000+ 1 5.68648- 2 1.67680- 4 2.90000+ 1 3.60000+ 1 1.33850- 2 1.68970- 4 2.90000+ 1 4.10000+ 1 1.11065- 2 1.20910- 4 2.90000+ 1 4.30000+ 1 6.15844- 3 1.40830- 4 2.90000+ 1 4.40000+ 1 9.73202- 3 1.52080- 4 2.90000+ 1 5.80000+ 1 8.82815- 4 1.70480- 4 3.00000+ 1 3.00000+ 1 1.29680- 2 2.05300- 5 3.00000+ 1 3.20000+ 1 7.17099- 2 1.20490- 4 3.00000+ 1 3.30000+ 1 5.42931- 2 1.30880- 4 3.00000+ 1 3.50000+ 1 8.10898- 2 2.37490- 4 3.00000+ 1 3.60000+ 1 4.71007- 3 2.38780- 4 3.00000+ 1 4.10000+ 1 4.16886- 3 1.90720- 4 3.00000+ 1 4.30000+ 1 2.83115- 3 2.10640- 4 3.00000+ 1 4.40000+ 1 1.94424- 3 2.21890- 4 3.00000+ 1 5.80000+ 1 2.85623- 4 2.40290- 4 3.20000+ 1 3.20000+ 1 1.07731- 2 2.20450- 4 3.20000+ 1 3.30000+ 1 2.16459- 2 2.30840- 4 3.20000+ 1 3.50000+ 1 7.30163- 2 3.37450- 4 3.20000+ 1 3.60000+ 1 1.09335- 2 3.38740- 4 3.20000+ 1 4.10000+ 1 1.38786- 3 2.90680- 4 3.20000+ 1 4.30000+ 1 6.53901- 3 3.10600- 4 3.20000+ 1 4.40000+ 1 4.41451- 3 3.21850- 4 3.20000+ 1 5.80000+ 1 1.20259- 4 3.40250- 4 3.30000+ 1 3.30000+ 1 5.10576- 3 2.41230- 4 3.30000+ 1 3.50000+ 1 1.05310- 1 3.47840- 4 3.30000+ 1 3.60000+ 1 3.13162- 3 3.49130- 4 3.30000+ 1 4.10000+ 1 1.24263- 3 3.01070- 4 3.30000+ 1 4.30000+ 1 4.87517- 3 3.20990- 4 3.30000+ 1 4.40000+ 1 2.47523- 3 3.32240- 4 3.30000+ 1 5.80000+ 1 1.00210- 4 3.50640- 4 3.50000+ 1 3.50000+ 1 1.77486- 2 4.54450- 4 3.50000+ 1 3.60000+ 1 3.53708- 2 4.55740- 4 3.50000+ 1 4.10000+ 1 9.17538- 3 4.07680- 4 3.50000+ 1 4.30000+ 1 7.94495- 3 4.27600- 4 3.50000+ 1 4.40000+ 1 1.09481- 2 4.38850- 4 3.50000+ 1 5.80000+ 1 7.68378- 4 4.57250- 4 3.60000+ 1 3.60000+ 1 3.21421- 4 4.57030- 4 3.60000+ 1 4.10000+ 1 2.76224- 4 4.08970- 4 3.60000+ 1 4.30000+ 1 8.88930- 4 4.28890- 4 3.60000+ 1 4.40000+ 1 3.51543- 4 4.40140- 4 3.60000+ 1 5.80000+ 1 2.00879- 5 4.58540- 4 4.10000+ 1 4.10000+ 1 4.88575- 5 3.60910- 4 4.10000+ 1 4.30000+ 1 4.45144- 4 3.80830- 4 4.10000+ 1 4.40000+ 1 3.03992- 4 3.92080- 4 4.10000+ 1 5.80000+ 1 5.42851- 6 4.10480- 4 4.30000+ 1 4.30000+ 1 1.67959- 4 4.00750- 4 4.30000+ 1 4.40000+ 1 2.49071- 4 4.12000- 4 4.30000+ 1 5.80000+ 1 3.47520- 5 4.30400- 4 4.40000+ 1 4.40000+ 1 5.11835- 5 4.23250- 4 4.40000+ 1 5.80000+ 1 2.27467- 5 4.41650- 4 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 1.31510- 4 3.42270- 4 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 3.50000+ 1 6.97111- 3 8.64400- 5 2.70000+ 1 3.60000+ 1 5.78817- 2 8.77300- 5 2.70000+ 1 4.10000+ 1 1.67523- 3 3.96700- 5 2.70000+ 1 4.30000+ 1 2.44788- 3 5.95900- 5 2.70000+ 1 4.40000+ 1 2.61018- 3 7.08400- 5 2.70000+ 1 5.80000+ 1 1.02681- 4 8.92400- 5 2.90000+ 1 3.20000+ 1 4.58611- 3 3.68200- 5 2.90000+ 1 3.30000+ 1 8.80863- 3 4.72100- 5 2.90000+ 1 3.50000+ 1 6.95833- 4 1.53820- 4 2.90000+ 1 3.60000+ 1 5.12551- 2 1.55110- 4 2.90000+ 1 4.10000+ 1 2.69897- 3 1.07050- 4 2.90000+ 1 4.30000+ 1 6.22047- 4 1.26970- 4 2.90000+ 1 4.40000+ 1 1.03847- 3 1.38220- 4 2.90000+ 1 5.80000+ 1 2.05577- 4 1.56620- 4 3.00000+ 1 3.00000+ 1 8.79157- 3 6.67000- 6 3.00000+ 1 3.20000+ 1 1.18721- 1 1.06630- 4 3.00000+ 1 3.30000+ 1 2.47610- 1 1.17020- 4 3.00000+ 1 3.50000+ 1 1.51406- 2 2.23630- 4 3.00000+ 1 3.60000+ 1 9.90248- 2 2.24920- 4 3.00000+ 1 4.10000+ 1 9.13992- 3 1.76860- 4 3.00000+ 1 4.30000+ 1 3.18285- 3 1.96780- 4 3.00000+ 1 4.40000+ 1 7.90766- 3 2.08030- 4 3.00000+ 1 5.80000+ 1 6.79676- 4 2.26430- 4 3.20000+ 1 3.20000+ 1 2.24109- 3 2.06590- 4 3.20000+ 1 3.30000+ 1 2.29958- 2 2.16980- 4 3.20000+ 1 3.50000+ 1 2.12920- 3 3.23590- 4 3.20000+ 1 3.60000+ 1 7.93305- 2 3.24880- 4 3.20000+ 1 4.10000+ 1 1.10724- 3 2.76820- 4 3.20000+ 1 4.30000+ 1 1.10194- 3 2.96740- 4 3.20000+ 1 4.40000+ 1 4.17331- 3 3.07990- 4 3.20000+ 1 5.80000+ 1 9.04923- 5 3.26390- 4 3.30000+ 1 3.30000+ 1 1.47636- 2 2.27370- 4 3.30000+ 1 3.50000+ 1 1.04416- 2 3.33980- 4 3.30000+ 1 3.60000+ 1 1.07183- 1 3.35270- 4 3.30000+ 1 4.10000+ 1 1.72187- 3 2.87210- 4 3.30000+ 1 4.30000+ 1 2.05339- 3 3.07130- 4 3.30000+ 1 4.40000+ 1 8.70359- 3 3.18380- 4 3.30000+ 1 5.80000+ 1 1.42161- 4 3.36780- 4 3.50000+ 1 3.50000+ 1 2.32531- 4 4.40590- 4 3.50000+ 1 3.60000+ 1 3.02537- 2 4.41880- 4 3.50000+ 1 4.10000+ 1 2.81192- 4 3.93820- 4 3.50000+ 1 4.30000+ 1 6.48891- 5 4.13740- 4 3.50000+ 1 4.40000+ 1 1.02198- 3 4.24990- 4 3.50000+ 1 5.80000+ 1 2.16291- 5 4.43390- 4 3.60000+ 1 3.60000+ 1 2.62306- 2 4.43170- 4 3.60000+ 1 4.10000+ 1 9.67729- 3 3.95110- 4 3.60000+ 1 4.30000+ 1 8.06715- 3 4.15030- 4 3.60000+ 1 4.40000+ 1 1.21060- 2 4.26280- 4 3.60000+ 1 5.80000+ 1 8.07788- 4 4.44680- 4 4.10000+ 1 4.10000+ 1 4.50929- 5 3.47050- 4 4.10000+ 1 4.30000+ 1 2.14189- 4 3.66970- 4 4.10000+ 1 4.40000+ 1 4.73469- 4 3.78220- 4 4.10000+ 1 5.80000+ 1 5.63649- 6 3.96620- 4 4.30000+ 1 4.30000+ 1 2.29366- 5 3.86890- 4 4.30000+ 1 4.40000+ 1 1.37620- 4 3.98140- 4 4.30000+ 1 5.80000+ 1 1.72032- 5 4.16540- 4 4.40000+ 1 4.40000+ 1 1.73756- 4 4.09390- 4 4.40000+ 1 5.80000+ 1 3.72328- 5 4.27790- 4 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.35523- 6 6.73800- 5 3.00000+ 1 2.35545- 5 1.37190- 4 4.30000+ 1 3.21653- 6 3.27300- 4 4.40000+ 1 4.96283- 8 3.38550- 4 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.50000+ 1 4.48130- 2 5.90900- 5 2.90000+ 1 3.60000+ 1 7.52714- 2 6.03800- 5 2.90000+ 1 4.10000+ 1 2.18339- 2 1.23200- 5 2.90000+ 1 4.30000+ 1 1.46600- 2 3.22400- 5 2.90000+ 1 4.40000+ 1 2.59713- 2 4.34900- 5 2.90000+ 1 5.80000+ 1 1.77034- 3 6.18900- 5 3.00000+ 1 3.20000+ 1 1.83988- 1 1.19000- 5 3.00000+ 1 3.30000+ 1 1.66327- 1 2.22900- 5 3.00000+ 1 3.50000+ 1 1.00965- 1 1.28900- 4 3.00000+ 1 3.60000+ 1 9.45164- 2 1.30190- 4 3.00000+ 1 4.10000+ 1 1.90113- 2 8.21300- 5 3.00000+ 1 4.30000+ 1 1.89661- 2 1.02050- 4 3.00000+ 1 4.40000+ 1 1.62101- 2 1.13300- 4 3.00000+ 1 5.80000+ 1 1.56559- 3 1.31700- 4 3.20000+ 1 3.20000+ 1 1.59747- 3 1.11860- 4 3.20000+ 1 3.30000+ 1 1.17542- 1 1.22250- 4 3.20000+ 1 3.50000+ 1 2.73067- 3 2.28860- 4 3.20000+ 1 3.60000+ 1 9.42393- 3 2.30150- 4 3.20000+ 1 4.10000+ 1 6.05849- 3 1.82090- 4 3.20000+ 1 4.30000+ 1 1.20739- 3 2.02010- 4 3.20000+ 1 4.40000+ 1 4.70653- 3 2.13260- 4 3.20000+ 1 5.80000+ 1 4.13008- 4 2.31660- 4 3.30000+ 1 3.30000+ 1 2.77452- 2 1.32640- 4 3.30000+ 1 3.50000+ 1 1.04993- 2 2.39250- 4 3.30000+ 1 3.60000+ 1 7.04633- 3 2.40540- 4 3.30000+ 1 4.10000+ 1 8.24308- 3 1.92480- 4 3.30000+ 1 4.30000+ 1 3.63449- 3 2.12400- 4 3.30000+ 1 4.40000+ 1 2.97344- 3 2.23650- 4 3.30000+ 1 5.80000+ 1 5.60068- 4 2.42050- 4 3.50000+ 1 3.50000+ 1 2.52899- 5 3.45860- 4 3.50000+ 1 3.60000+ 1 8.81463- 4 3.47150- 4 3.50000+ 1 4.10000+ 1 1.92870- 3 2.99090- 4 3.50000+ 1 4.30000+ 1 1.66100- 4 3.19010- 4 3.50000+ 1 4.40000+ 1 5.60843- 4 3.30260- 4 3.50000+ 1 5.80000+ 1 1.20200- 4 3.48660- 4 3.60000+ 1 3.60000+ 1 1.44492- 4 3.48440- 4 3.60000+ 1 4.10000+ 1 2.32376- 3 3.00380- 4 3.60000+ 1 4.30000+ 1 4.08646- 4 3.20300- 4 3.60000+ 1 4.40000+ 1 3.28603- 4 3.31550- 4 3.60000+ 1 5.80000+ 1 1.44693- 4 3.49950- 4 4.10000+ 1 4.10000+ 1 5.20099- 4 2.52320- 4 4.10000+ 1 4.30000+ 1 6.10278- 4 2.72240- 4 4.10000+ 1 4.40000+ 1 8.58738- 4 2.83490- 4 4.10000+ 1 5.80000+ 1 7.61826- 5 3.01890- 4 4.30000+ 1 4.30000+ 1 5.68669- 5 2.92160- 4 4.30000+ 1 4.40000+ 1 3.20843- 4 3.03410- 4 4.30000+ 1 5.80000+ 1 3.88997- 5 3.21810- 4 4.40000+ 1 4.40000+ 1 1.45223- 4 3.14660- 4 4.40000+ 1 5.80000+ 1 6.07867- 5 3.33060- 4 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 6.44773- 5 1.69770- 4 4.10000+ 1 7.22603- 6 2.40000- 4 5.80000+ 1 6.92423- 7 2.89570- 4 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.50000+ 1 2.14391- 2 6.15200- 5 3.00000+ 1 3.60000+ 1 1.28158- 2 6.28100- 5 3.00000+ 1 4.10000+ 1 1.65651- 2 1.47500- 5 3.00000+ 1 4.30000+ 1 9.60045- 3 3.46700- 5 3.00000+ 1 4.40000+ 1 7.86317- 3 4.59200- 5 3.00000+ 1 5.80000+ 1 9.33780- 4 6.43200- 5 3.20000+ 1 3.20000+ 1 9.27189- 2 4.44800- 5 3.20000+ 1 3.30000+ 1 3.84590- 1 5.48700- 5 3.20000+ 1 3.50000+ 1 7.18668- 2 1.61480- 4 3.20000+ 1 3.60000+ 1 1.59122- 1 1.62770- 4 3.20000+ 1 4.10000+ 1 3.74072- 2 1.14710- 4 3.20000+ 1 4.30000+ 1 2.47894- 2 1.34630- 4 3.20000+ 1 4.40000+ 1 3.69913- 2 1.45880- 4 3.20000+ 1 5.80000+ 1 3.16881- 3 1.64280- 4 3.30000+ 1 3.30000+ 1 1.47854- 2 6.52600- 5 3.30000+ 1 3.50000+ 1 3.80573- 2 1.71870- 4 3.30000+ 1 3.60000+ 1 8.72376- 3 1.73160- 4 3.30000+ 1 4.10000+ 1 3.55628- 3 1.25100- 4 3.30000+ 1 4.30000+ 1 1.78649- 2 1.45020- 4 3.30000+ 1 4.40000+ 1 3.74335- 3 1.56270- 4 3.30000+ 1 5.80000+ 1 2.51425- 4 1.74670- 4 3.50000+ 1 3.50000+ 1 1.18005- 3 2.78480- 4 3.50000+ 1 3.60000+ 1 8.76978- 3 2.79770- 4 3.50000+ 1 4.10000+ 1 2.05725- 3 2.31710- 4 3.50000+ 1 4.30000+ 1 4.16162- 3 2.51630- 4 3.50000+ 1 4.40000+ 1 2.14081- 3 2.62880- 4 3.50000+ 1 5.80000+ 1 1.76577- 4 2.81280- 4 3.60000+ 1 3.60000+ 1 4.26871- 4 2.81060- 4 3.60000+ 1 4.10000+ 1 7.74050- 4 2.33000- 4 3.60000+ 1 4.30000+ 1 6.78726- 3 2.52920- 4 3.60000+ 1 4.40000+ 1 7.06151- 4 2.64170- 4 3.60000+ 1 5.80000+ 1 5.38062- 5 2.82570- 4 4.10000+ 1 4.10000+ 1 1.05317- 4 1.84940- 4 4.10000+ 1 4.30000+ 1 1.82604- 3 2.04860- 4 4.10000+ 1 4.40000+ 1 3.04945- 4 2.16110- 4 4.10000+ 1 5.80000+ 1 1.44103- 5 2.34510- 4 4.30000+ 1 4.30000+ 1 1.04502- 3 2.24780- 4 4.30000+ 1 4.40000+ 1 2.25606- 3 2.36030- 4 4.30000+ 1 5.80000+ 1 1.55132- 4 2.54430- 4 4.40000+ 1 4.40000+ 1 1.11791- 4 2.47280- 4 4.40000+ 1 5.80000+ 1 2.10292- 5 2.65680- 4 1 95000 0 7 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 8.11048- 7 9.99600- 5 3.30000+ 1 9.95518- 6 1.10350- 4 4.10000+ 1 4.39189- 6 1.70190- 4 5.80000+ 1 4.15919- 7 2.19760- 4 1 95000 0 9 2.43000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.50000+ 1 2.59888- 2 9.16700- 5 3.20000+ 1 3.60000+ 1 9.61228- 2 9.29600- 5 3.20000+ 1 4.10000+ 1 1.19479- 2 4.49000- 5 3.20000+ 1 4.30000+ 1 8.47458- 3 6.48200- 5 3.20000+ 1 4.40000+ 1 2.27162- 2 7.60700- 5 3.20000+ 1 5.80000+ 1 8.29330- 4 9.44700- 5 3.30000+ 1 3.30000+ 1 4.06427- 2 0.00000+ 0 3.30000+ 1 3.50000+ 1 3.07367- 1 1.02060- 4 3.30000+ 1 3.60000+ 1 2.69600- 1 1.03350- 4 3.30000+ 1 4.10000+ 1 5.50379- 2 5.52900- 5 3.30000+ 1 4.30000+ 1 5.57315- 2 7.52100- 5 3.30000+ 1 4.40000+ 1 5.73032- 2 8.64600- 5 3.30000+ 1 5.80000+ 1 4.68631- 3 1.04860- 4 3.50000+ 1 3.50000+ 1 3.22420- 4 2.08670- 4 3.50000+ 1 3.60000+ 1 8.94201- 3 2.09960- 4 3.50000+ 1 4.10000+ 1 2.46933- 3 1.61900- 4 3.50000+ 1 4.30000+ 1 7.03746- 4 1.81820- 4 3.50000+ 1 4.40000+ 1 5.94396- 3 1.93070- 4 3.50000+ 1 5.80000+ 1 9.54961- 5 2.11470- 4 3.60000+ 1 3.60000+ 1 3.06575- 3 2.11250- 4 3.60000+ 1 4.10000+ 1 4.61141- 3 1.63190- 4 3.60000+ 1 4.30000+ 1 3.48415- 3 1.83110- 4 3.60000+ 1 4.40000+ 1 7.08811- 3 1.94360- 4 3.60000+ 1 5.80000+ 1 2.46549- 4 2.12760- 4 4.10000+ 1 4.10000+ 1 3.22726- 4 1.15130- 4 4.10000+ 1 4.30000+ 1 4.99715- 4 1.35050- 4 4.10000+ 1 4.40000+ 1 2.01055- 3 1.46300- 4 4.10000+ 1 5.80000+ 1 4.33069- 5 1.64700- 4 4.30000+ 1 4.30000+ 1 1.97836- 6 1.54970- 4 4.30000+ 1 4.40000+ 1 1.75016- 3 1.66220- 4 4.30000+ 1 5.80000+ 1 2.19590- 5 1.84620- 4 4.40000+ 1 4.40000+ 1 1.75780- 3 1.77470- 4 4.40000+ 1 5.80000+ 1 1.55593- 4 1.95870- 4 1 96000 0 0 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 3.50000+ 1 3.00000+ 0 3.60000+ 1 4.00000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 4.60000+ 1 4.00000- 1 4.70000+ 1 6.00000- 1 5.80000+ 1 2.00000+ 0 1 96000 0 0 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.28860- 1 3.00000+ 0 2.45540- 2 5.00000+ 0 2.37760- 2 6.00000+ 0 1.89940- 2 8.00000+ 0 6.31310- 3 1.00000+ 1 5.94560- 3 1.10000+ 1 4.82900- 3 1.30000+ 1 4.23720- 3 1.40000+ 1 4.01560- 3 1.60000+ 1 1.66410- 3 1.80000+ 1 1.49320- 3 1.90000+ 1 1.19440- 3 2.10000+ 1 9.19640- 4 2.20000+ 1 8.65440- 4 2.40000+ 1 5.02250- 4 2.50000+ 1 4.87470- 4 2.70000+ 1 3.84300- 4 2.90000+ 1 3.14800- 4 3.00000+ 1 2.39650- 4 3.20000+ 1 1.36460- 4 3.30000+ 1 1.25230- 4 3.50000+ 1 1.34800- 5 3.60000+ 1 1.19500- 5 4.10000+ 1 6.06900- 5 4.30000+ 1 3.96400- 5 4.40000+ 1 2.70000- 5 4.60000+ 1 4.65000- 6 4.70000+ 1 3.93000- 6 5.80000+ 1 6.18000- 6 1 96000 0 0 2.47000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00060- 1 3.00000+ 0 5.07160- 2 5.00000+ 0 5.08290- 2 6.00000+ 0 3.04840- 2 8.00000+ 0 1.62310- 2 1.00000+ 1 1.61010- 2 1.10000+ 1 1.09170- 2 1.30000+ 1 1.07410- 2 1.40000+ 1 9.82440- 3 1.60000+ 1 5.65830- 3 1.80000+ 1 5.49350- 3 1.90000+ 1 3.88710- 3 2.10000+ 1 3.63310- 3 2.20000+ 1 3.35130- 3 2.40000+ 1 2.98540- 3 2.50000+ 1 2.88880- 3 2.70000+ 1 1.83290- 3 2.90000+ 1 1.69710- 3 3.00000+ 1 1.21190- 3 3.20000+ 1 9.85420- 4 3.30000+ 1 9.05560- 4 3.50000+ 1 4.78710- 4 3.60000+ 1 4.54860- 4 4.10000+ 1 4.45460- 4 4.30000+ 1 3.58170- 4 4.40000+ 1 2.34340- 4 4.60000+ 1 9.02400- 5 4.70000+ 1 7.47700- 5 5.80000+ 1 5.10100- 5 1 96000 0 0 2.47000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.76940-11 3.00000+ 0 2.79230-10 5.00000+ 0 2.24320-10 6.00000+ 0 2.81390-10 8.00000+ 0 7.27520-10 1.00000+ 1 6.80800-10 1.10000+ 1 7.82740-10 1.30000+ 1 6.72690-10 1.40000+ 1 7.02420-10 1.60000+ 1 1.57240- 9 1.80000+ 1 1.55740- 9 1.90000+ 1 1.75390- 9 2.10000+ 1 1.72460- 9 2.20000+ 1 1.78170- 9 2.40000+ 1 1.69830- 9 2.50000+ 1 1.72570- 9 2.70000+ 1 3.22290- 9 2.90000+ 1 3.32750- 9 3.00000+ 1 3.74340- 9 3.20000+ 1 4.11650- 9 3.30000+ 1 4.25930- 9 3.50000+ 1 6.02790- 9 3.60000+ 1 6.19010- 9 4.10000+ 1 7.01650- 9 4.30000+ 1 7.76950- 9 4.40000+ 1 9.04380- 9 4.60000+ 1 1.46740- 8 4.70000+ 1 1.60950- 8 5.80000+ 1 1.99840- 8 1 96000 0 0 2.47000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.08690- 4 3.00000+ 0 3.04860- 6 5.00000+ 0 5.31890- 6 6.00000+ 0 4.38210- 6 8.00000+ 0 1.44580- 7 1.00000+ 1 1.55760- 7 1.10000+ 1 1.76270- 7 1.30000+ 1 2.38010- 7 1.40000+ 1 2.17600- 7 1.60000+ 1 8.81480- 9 1.80000+ 1 1.08450- 8 1.90000+ 1 7.36220- 9 2.10000+ 1 4.86660- 9 2.20000+ 1 3.69290- 9 2.40000+ 1 1.94270-10 2.50000+ 1 1.73540-10 2.70000+ 1 6.56670-10 2.90000+ 1 1.23920- 9 3.00000+ 1 5.38850-10 1 96000 0 0 2.47000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.11370- 6 3.00000+ 0 1.33440- 5 5.00000+ 0 5.20260- 6 6.00000+ 0 4.55540- 6 8.00000+ 0 2.03340- 5 1.00000+ 1 1.53190- 5 1.10000+ 1 1.13240- 5 1.30000+ 1 3.70500- 6 1.40000+ 1 3.64390- 6 1.60000+ 1 1.44670- 5 1.80000+ 1 1.55580- 5 1.90000+ 1 9.81210- 6 2.10000+ 1 6.37190- 6 2.20000+ 1 6.86510- 6 2.40000+ 1 7.20700- 7 2.50000+ 1 5.01530- 7 2.70000+ 1 2.69630- 5 2.90000+ 1 1.09280- 5 3.00000+ 1 1.20850- 5 1 96000 0 0 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.77731- 4 3.00000+ 0 1.10554- 3 5.00000+ 0 8.13287- 4 6.00000+ 0 7.71206- 4 8.00000+ 0 8.53281- 4 1.00000+ 1 7.60496- 4 1.10000+ 1 6.60078- 4 1.30000+ 1 5.12526- 4 1.40000+ 1 5.00048- 4 1.60000+ 1 4.48533- 4 1.80000+ 1 4.28080- 4 1.90000+ 1 4.25053- 4 2.10000+ 1 3.38502- 4 2.20000+ 1 3.32530- 4 2.40000+ 1 1.99029- 4 2.50000+ 1 1.96398- 4 2.70000+ 1 2.21232- 4 2.90000+ 1 2.02766- 4 3.00000+ 1 1.41217- 4 3.20000+ 1 1.36460- 4 3.30000+ 1 1.25230- 4 3.50000+ 1 1.34800- 5 3.60000+ 1 1.19500- 5 4.10000+ 1 6.06900- 5 4.30000+ 1 3.96400- 5 4.40000+ 1 2.70000- 5 4.60000+ 1 4.65000- 6 4.70000+ 1 3.93000- 6 5.80000+ 1 6.18000- 6 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.47560+ 0 3.00000+ 0 6.32802- 1 5.00000+ 0 6.97561- 1 6.00000+ 0 5.68519- 1 8.00000+ 0 6.50951- 2 1.00000+ 1 6.74326- 2 1.10000+ 1 6.06886- 2 1.30000+ 1 6.88965- 2 1.40000+ 1 6.10148- 2 1.60000+ 1 2.14895- 3 1.80000+ 1 2.16677- 3 1.90000+ 1 1.56126- 3 2.10000+ 1 1.05805- 3 2.20000+ 1 8.89929- 4 2.40000+ 1 1.99673- 4 2.50000+ 1 1.75216- 4 2.70000+ 1 5.62962- 5 2.90000+ 1 8.50259- 5 3.00000+ 1 1.80134- 5 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.16077- 1 3.00000+ 0 9.38417- 3 5.00000+ 0 1.23118- 2 6.00000+ 0 7.92294- 3 8.00000+ 0 2.37227- 4 1.00000+ 1 2.48855- 4 1.10000+ 1 2.16602- 4 1.30000+ 1 2.51424- 4 1.40000+ 1 2.12177- 4 1.60000+ 1 1.65102- 6 1.80000+ 1 1.40940- 6 1.90000+ 1 1.01040- 6 2.10000+ 1 5.30965- 7 2.20000+ 1 4.28224- 7 2.40000+ 1 6.77219- 8 2.50000+ 1 5.95337- 8 2.70000+ 1 9.31314- 9 2.90000+ 1 1.58524- 8 3.00000+ 1 2.44968- 9 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 9.02262+ 0 3.00000+ 0 1.32548+ 1 5.00000+ 0 9.46534+ 0 6.00000+ 0 8.93706+ 0 8.00000+ 0 1.01163+ 1 1.00000+ 1 8.85603+ 0 1.10000+ 1 7.62081+ 0 1.30000+ 1 5.65507+ 0 1.40000+ 1 5.46388+ 0 1.60000+ 1 4.52707+ 0 1.80000+ 1 4.27114+ 0 1.90000+ 1 4.23546+ 0 2.10000+ 1 3.25507+ 0 2.20000+ 1 3.10588+ 0 2.40000+ 1 1.89464+ 0 2.50000+ 1 1.71249+ 0 2.70000+ 1 1.79932+ 0 2.90000+ 1 1.07177+ 0 3.00000+ 1 9.99982- 1 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.20048- 2 3.00000+ 0 1.40643- 2 5.00000+ 0 1.06509- 2 6.00000+ 0 1.02998- 2 8.00000+ 0 5.22259- 3 1.00000+ 1 4.93625- 3 1.10000+ 1 3.95232- 3 1.30000+ 1 3.47325- 3 1.40000+ 1 3.30337- 3 1.60000+ 1 1.21392- 3 1.80000+ 1 1.06371- 3 1.90000+ 1 7.68336- 4 2.10000+ 1 5.80607- 4 2.20000+ 1 5.32482- 4 2.40000+ 1 3.03153- 4 2.50000+ 1 2.91012- 4 2.70000+ 1 1.63059- 4 2.90000+ 1 1.12018- 4 3.00000+ 1 9.84308- 5 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.92902- 1 1.05084- 1 6.00000+ 0 4.58423- 1 1.09866- 1 1.00000+ 1 5.34344- 2 1.22914- 1 1.10000+ 1 1.05191- 1 1.24031- 1 1.30000+ 1 2.04751- 3 1.24623- 1 1.40000+ 1 2.27402- 3 1.24844- 1 1.80000+ 1 1.35481- 2 1.27367- 1 1.90000+ 1 2.78522- 2 1.27666- 1 2.10000+ 1 6.22784- 4 1.27940- 1 2.20000+ 1 6.95575- 4 1.27995- 1 2.90000+ 1 3.40592- 3 1.28545- 1 3.00000+ 1 6.92275- 3 1.28620- 1 3.20000+ 1 1.36751- 4 1.28724- 1 3.30000+ 1 1.51321- 4 1.28735- 1 4.30000+ 1 5.85584- 4 1.28820- 1 4.40000+ 1 1.06701- 3 1.28833- 1 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.69360- 3 7.97520- 2 3.00000+ 0 5.00000+ 0 7.12264- 3 8.05300- 2 3.00000+ 0 6.00000+ 0 2.33510- 3 8.53120- 2 3.00000+ 0 8.00000+ 0 1.54625- 3 9.79929- 2 3.00000+ 0 1.00000+ 1 1.56800- 3 9.83604- 2 3.00000+ 0 1.10000+ 1 5.87705- 4 9.94770- 2 3.00000+ 0 1.30000+ 1 5.16358- 5 1.00069- 1 3.00000+ 0 1.40000+ 1 3.04713- 5 1.00290- 1 3.00000+ 0 1.60000+ 1 4.16370- 4 1.02642- 1 3.00000+ 0 1.80000+ 1 4.15995- 4 1.02813- 1 3.00000+ 0 1.90000+ 1 1.58621- 4 1.03112- 1 3.00000+ 0 2.10000+ 1 1.58080- 5 1.03386- 1 3.00000+ 0 2.20000+ 1 9.20399- 6 1.03441- 1 3.00000+ 0 2.40000+ 1 5.19990- 8 1.03804- 1 3.00000+ 0 2.50000+ 1 5.19990- 8 1.03819- 1 3.00000+ 0 2.70000+ 1 1.10784- 4 1.03922- 1 3.00000+ 0 2.90000+ 1 1.04886- 4 1.03991- 1 3.00000+ 0 3.00000+ 1 3.95464- 5 1.04066- 1 3.00000+ 0 3.20000+ 1 3.43202- 6 1.04170- 1 3.00000+ 0 3.30000+ 1 1.97594- 6 1.04181- 1 5.00000+ 0 5.00000+ 0 2.24204- 4 8.13080- 2 5.00000+ 0 6.00000+ 0 3.66240- 3 8.60900- 2 5.00000+ 0 8.00000+ 0 1.32610- 3 9.87709- 2 5.00000+ 0 1.00000+ 1 8.81948- 5 9.91384- 2 5.00000+ 0 1.10000+ 1 7.88345- 4 1.00255- 1 5.00000+ 0 1.30000+ 1 5.19768- 5 1.00847- 1 5.00000+ 0 1.40000+ 1 1.11076- 4 1.01068- 1 5.00000+ 0 1.60000+ 1 3.47708- 4 1.03420- 1 5.00000+ 0 1.80000+ 1 2.29072- 5 1.03591- 1 5.00000+ 0 1.90000+ 1 2.04600- 4 1.03890- 1 5.00000+ 0 2.10000+ 1 1.51331- 5 1.04164- 1 5.00000+ 0 2.20000+ 1 3.26559- 5 1.04219- 1 5.00000+ 0 2.40000+ 1 4.94006- 7 1.04582- 1 5.00000+ 0 2.50000+ 1 7.02028- 7 1.04597- 1 5.00000+ 0 2.70000+ 1 9.18870- 5 1.04700- 1 5.00000+ 0 2.90000+ 1 5.74605- 6 1.04769- 1 5.00000+ 0 3.00000+ 1 5.04944- 5 1.04844- 1 5.00000+ 0 3.20000+ 1 3.24992- 6 1.04948- 1 5.00000+ 0 3.30000+ 1 6.96829- 6 1.04959- 1 6.00000+ 0 6.00000+ 0 1.44874- 3 9.08720- 2 6.00000+ 0 8.00000+ 0 3.84044- 4 1.03553- 1 6.00000+ 0 1.00000+ 1 6.67930- 4 1.03920- 1 6.00000+ 0 1.10000+ 1 6.42544- 4 1.05037- 1 6.00000+ 0 1.30000+ 1 1.17345- 4 1.05629- 1 6.00000+ 0 1.40000+ 1 9.16539- 5 1.05850- 1 6.00000+ 0 1.60000+ 1 9.76575- 5 1.08202- 1 6.00000+ 0 1.80000+ 1 1.69367- 4 1.08373- 1 6.00000+ 0 1.90000+ 1 1.68097- 4 1.08672- 1 6.00000+ 0 2.10000+ 1 3.46846- 5 1.08946- 1 6.00000+ 0 2.20000+ 1 2.70939- 5 1.09001- 1 6.00000+ 0 2.40000+ 1 7.02027- 7 1.09364- 1 6.00000+ 0 2.50000+ 1 7.28033- 7 1.09379- 1 6.00000+ 0 2.70000+ 1 2.55849- 5 1.09482- 1 6.00000+ 0 2.90000+ 1 4.21982- 5 1.09551- 1 6.00000+ 0 3.00000+ 1 4.15768- 5 1.09626- 1 6.00000+ 0 3.20000+ 1 7.48817- 6 1.09730- 1 6.00000+ 0 3.30000+ 1 5.79825- 6 1.09741- 1 8.00000+ 0 8.00000+ 0 1.60006- 4 1.16234- 1 8.00000+ 0 1.00000+ 1 2.93266- 4 1.16601- 1 8.00000+ 0 1.10000+ 1 9.74714- 5 1.17718- 1 8.00000+ 0 1.30000+ 1 8.32027- 6 1.18310- 1 8.00000+ 0 1.40000+ 1 4.62797- 6 1.18531- 1 8.00000+ 0 1.60000+ 1 8.60361- 5 1.20883- 1 8.00000+ 0 1.80000+ 1 7.79244- 5 1.21054- 1 8.00000+ 0 1.90000+ 1 2.63906- 5 1.21352- 1 8.00000+ 0 2.10000+ 1 2.54799- 6 1.21627- 1 8.00000+ 0 2.20000+ 1 1.37808- 6 1.21681- 1 8.00000+ 0 2.70000+ 1 2.28805- 5 1.22163- 1 8.00000+ 0 2.90000+ 1 1.96563- 5 1.22232- 1 8.00000+ 0 3.00000+ 1 6.57816- 6 1.22307- 1 8.00000+ 0 3.20000+ 1 5.46013- 7 1.22410- 1 8.00000+ 0 3.30000+ 1 2.86014- 7 1.22422- 1 1.00000+ 1 1.00000+ 1 8.03429- 6 1.16969- 1 1.00000+ 1 1.10000+ 1 1.49038- 4 1.18085- 1 1.00000+ 1 1.30000+ 1 8.91835- 6 1.18677- 1 1.00000+ 1 1.40000+ 1 1.48994- 5 1.18899- 1 1.00000+ 1 1.60000+ 1 7.69366- 5 1.21250- 1 1.00000+ 1 1.80000+ 1 4.10833- 6 1.21421- 1 1.00000+ 1 1.90000+ 1 3.89772- 5 1.21720- 1 1.00000+ 1 2.10000+ 1 2.62611- 6 1.21995- 1 1.00000+ 1 2.20000+ 1 4.44609- 6 1.22049- 1 1.00000+ 1 2.40000+ 1 5.20023- 8 1.22412- 1 1.00000+ 1 2.50000+ 1 7.80028- 8 1.22427- 1 1.00000+ 1 2.70000+ 1 2.03336- 5 1.22530- 1 1.00000+ 1 2.90000+ 1 1.01404- 6 1.22600- 1 1.00000+ 1 3.00000+ 1 9.64632- 6 1.22675- 1 1.00000+ 1 3.20000+ 1 5.72035- 7 1.22778- 1 1.00000+ 1 3.30000+ 1 9.62049- 7 1.22789- 1 1.10000+ 1 1.10000+ 1 7.21772- 5 1.19202- 1 1.10000+ 1 1.30000+ 1 2.12938- 5 1.19794- 1 1.10000+ 1 1.40000+ 1 1.59119- 5 1.20015- 1 1.10000+ 1 1.60000+ 1 2.48291- 5 1.22367- 1 1.10000+ 1 1.80000+ 1 3.80898- 5 1.22538- 1 1.10000+ 1 1.90000+ 1 3.78800- 5 1.22837- 1 1.10000+ 1 2.10000+ 1 6.36993- 6 1.23111- 1 1.10000+ 1 2.20000+ 1 4.75788- 6 1.23166- 1 1.10000+ 1 2.40000+ 1 1.03995- 7 1.23529- 1 1.10000+ 1 2.50000+ 1 1.03995- 7 1.23544- 1 1.10000+ 1 2.70000+ 1 6.49995- 6 1.23647- 1 1.10000+ 1 2.90000+ 1 9.51609- 6 1.23716- 1 1.10000+ 1 3.00000+ 1 9.38607- 6 1.23791- 1 1.10000+ 1 3.20000+ 1 1.37805- 6 1.23895- 1 1.10000+ 1 3.30000+ 1 1.01398- 6 1.23906- 1 1.30000+ 1 1.30000+ 1 5.19995- 8 1.20386- 1 1.30000+ 1 1.40000+ 1 2.18402- 6 1.20607- 1 1.30000+ 1 1.60000+ 1 2.10610- 6 1.22959- 1 1.30000+ 1 1.80000+ 1 2.26195- 6 1.23130- 1 1.30000+ 1 1.90000+ 1 5.30414- 6 1.23428- 1 1.30000+ 1 2.10000+ 1 2.60002- 8 1.23703- 1 1.30000+ 1 2.20000+ 1 6.24013- 7 1.23757- 1 1.30000+ 1 2.50000+ 1 2.60002- 8 1.24135- 1 1.30000+ 1 2.70000+ 1 5.46000- 7 1.24238- 1 1.30000+ 1 2.90000+ 1 5.72005- 7 1.24308- 1 1.30000+ 1 3.00000+ 1 1.29990- 6 1.24383- 1 1.30000+ 1 3.30000+ 1 1.29990- 7 1.24498- 1 1.40000+ 1 1.40000+ 1 5.46004- 7 1.20829- 1 1.40000+ 1 1.60000+ 1 1.17000- 6 1.23180- 1 1.40000+ 1 1.80000+ 1 3.50989- 6 1.23351- 1 1.40000+ 1 1.90000+ 1 3.92613- 6 1.23650- 1 1.40000+ 1 2.10000+ 1 6.24019- 7 1.23925- 1 1.40000+ 1 2.20000+ 1 3.12015- 7 1.23979- 1 1.40000+ 1 2.70000+ 1 3.12015- 7 1.24460- 1 1.40000+ 1 2.90000+ 1 8.58019- 7 1.24530- 1 1.40000+ 1 3.00000+ 1 9.62005- 7 1.24605- 1 1.40000+ 1 3.20000+ 1 1.29991- 7 1.24708- 1 1.40000+ 1 3.30000+ 1 7.79993- 8 1.24719- 1 1.60000+ 1 1.60000+ 1 1.15699- 5 1.25532- 1 1.60000+ 1 1.80000+ 1 2.04367- 5 1.25703- 1 1.60000+ 1 1.90000+ 1 6.73435- 6 1.26001- 1 1.60000+ 1 2.10000+ 1 6.50013- 7 1.26276- 1 1.60000+ 1 2.20000+ 1 3.38026- 7 1.26330- 1 1.60000+ 1 2.70000+ 1 6.16226- 6 1.26812- 1 1.60000+ 1 2.90000+ 1 5.14809- 6 1.26881- 1 1.60000+ 1 3.00000+ 1 1.69001- 6 1.26956- 1 1.60000+ 1 3.20000+ 1 1.29994- 7 1.27059- 1 1.60000+ 1 3.30000+ 1 7.80006- 8 1.27071- 1 1.80000+ 1 1.80000+ 1 5.19999- 7 1.25874- 1 1.80000+ 1 1.90000+ 1 9.98409- 6 1.26172- 1 1.80000+ 1 2.10000+ 1 6.76007- 7 1.26447- 1 1.80000+ 1 2.20000+ 1 1.06597- 6 1.26501- 1 1.80000+ 1 2.40000+ 1 2.60005- 8 1.26865- 1 1.80000+ 1 2.50000+ 1 2.60005- 8 1.26879- 1 1.80000+ 1 2.70000+ 1 5.40805- 6 1.26982- 1 1.80000+ 1 2.90000+ 1 2.60005- 7 1.27052- 1 1.80000+ 1 3.00000+ 1 2.47003- 6 1.27127- 1 1.80000+ 1 3.20000+ 1 1.55996- 7 1.27230- 1 1.80000+ 1 3.30000+ 1 2.34001- 7 1.27242- 1 1.90000+ 1 1.90000+ 1 4.96608- 6 1.26471- 1 1.90000+ 1 2.10000+ 1 1.58601- 6 1.26746- 1 1.90000+ 1 2.20000+ 1 1.17000- 6 1.26800- 1 1.90000+ 1 2.40000+ 1 2.60004- 8 1.27163- 1 1.90000+ 1 2.50000+ 1 2.60004- 8 1.27178- 1 1.90000+ 1 2.70000+ 1 1.76802- 6 1.27281- 1 1.90000+ 1 2.90000+ 1 2.49596- 6 1.27351- 1 1.90000+ 1 3.00000+ 1 2.47002- 6 1.27426- 1 1.90000+ 1 3.20000+ 1 3.38019- 7 1.27529- 1 1.90000+ 1 3.30000+ 1 2.60004- 7 1.27540- 1 2.10000+ 1 2.20000+ 1 1.82003- 7 1.27075- 1 2.10000+ 1 2.70000+ 1 1.82003- 7 1.27556- 1 2.10000+ 1 2.90000+ 1 1.55998- 7 1.27626- 1 2.10000+ 1 3.00000+ 1 3.90001- 7 1.27701- 1 2.10000+ 1 3.30000+ 1 2.60007- 8 1.27815- 1 2.20000+ 1 2.20000+ 1 5.20009- 8 1.27129- 1 2.20000+ 1 2.70000+ 1 1.03998- 7 1.27610- 1 2.20000+ 1 2.90000+ 1 2.60009- 7 1.27680- 1 2.20000+ 1 3.00000+ 1 2.86015- 7 1.27755- 1 2.20000+ 1 3.20000+ 1 2.60009- 8 1.27858- 1 2.20000+ 1 3.30000+ 1 2.60009- 8 1.27869- 1 2.70000+ 1 2.70000+ 1 7.97488- 7 1.28091- 1 2.70000+ 1 2.90000+ 1 1.33774- 6 1.28161- 1 2.70000+ 1 3.00000+ 1 4.37339- 7 1.28236- 1 2.70000+ 1 3.20000+ 1 2.57260- 8 1.28339- 1 2.70000+ 1 3.30000+ 1 2.57260- 8 1.28350- 1 2.90000+ 1 2.90000+ 1 2.52364- 8 1.28230- 1 2.90000+ 1 3.00000+ 1 6.05680- 7 1.28306- 1 2.90000+ 1 3.20000+ 1 2.52364- 8 1.28409- 1 2.90000+ 1 3.30000+ 1 5.04718- 8 1.28420- 1 3.00000+ 1 3.00000+ 1 3.18854- 7 1.28381- 1 3.00000+ 1 3.20000+ 1 7.97091- 8 1.28484- 1 3.00000+ 1 3.30000+ 1 5.31398- 8 1.28495- 1 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.33210- 5 7.78000- 4 6.00000+ 0 1.29840- 2 5.56000- 3 1.00000+ 1 6.63491- 2 1.86084- 2 1.10000+ 1 5.13270- 2 1.97250- 2 1.30000+ 1 3.36070- 3 2.03168- 2 1.40000+ 1 4.99610- 3 2.05384- 2 1.80000+ 1 1.81930- 2 2.30608- 2 1.90000+ 1 1.65300- 2 2.33596- 2 2.10000+ 1 5.95200- 4 2.36344- 2 2.20000+ 1 9.57461- 4 2.36886- 2 2.90000+ 1 4.62260- 3 2.42392- 2 3.00000+ 1 4.27730- 3 2.43143- 2 3.20000+ 1 1.14740- 4 2.44175- 2 3.30000+ 1 1.86670- 4 2.44288- 2 4.30000+ 1 7.98251- 4 2.45144- 2 4.40000+ 1 6.63891- 4 2.45270- 2 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.40000+ 1 1.21630- 2 2.75750- 4 5.00000+ 0 2.50000+ 1 1.61071- 2 2.90530- 4 5.00000+ 0 2.70000+ 1 5.44520- 3 3.93700- 4 5.00000+ 0 2.90000+ 1 4.53161- 3 4.63200- 4 5.00000+ 0 3.00000+ 1 3.38731- 3 5.38350- 4 5.00000+ 0 3.20000+ 1 9.35239- 4 6.41540- 4 5.00000+ 0 3.30000+ 1 1.15360- 3 6.52770- 4 6.00000+ 0 1.10000+ 1 3.35868- 2 7.31000- 4 6.00000+ 0 1.30000+ 1 1.96559- 1 1.32280- 3 6.00000+ 0 1.40000+ 1 2.33019- 1 1.54440- 3 6.00000+ 0 1.60000+ 1 1.64849- 2 3.89590- 3 6.00000+ 0 1.80000+ 1 6.40363- 3 4.06680- 3 6.00000+ 0 1.90000+ 1 8.68730- 3 4.36560- 3 6.00000+ 0 2.10000+ 1 3.26938- 2 4.64036- 3 6.00000+ 0 2.20000+ 1 3.70957- 2 4.69456- 3 6.00000+ 0 2.40000+ 1 1.82729- 2 5.05775- 3 6.00000+ 0 2.50000+ 1 2.21519- 2 5.07253- 3 6.00000+ 0 2.70000+ 1 4.13037- 3 5.17570- 3 6.00000+ 0 2.90000+ 1 1.59959- 3 5.24520- 3 6.00000+ 0 3.00000+ 1 2.14779- 3 5.32035- 3 6.00000+ 0 3.20000+ 1 6.39023- 3 5.42354- 3 6.00000+ 0 3.30000+ 1 7.09783- 3 5.43477- 3 8.00000+ 0 8.00000+ 0 5.74953- 3 1.19278- 2 8.00000+ 0 1.00000+ 1 1.21969- 2 1.22953- 2 8.00000+ 0 1.10000+ 1 1.61798- 2 1.34119- 2 8.00000+ 0 1.30000+ 1 1.12020- 2 1.40037- 2 8.00000+ 0 1.40000+ 1 1.31329- 2 1.42253- 2 8.00000+ 0 1.60000+ 1 2.64318- 3 1.65768- 2 8.00000+ 0 1.80000+ 1 3.21187- 3 1.67477- 2 8.00000+ 0 1.90000+ 1 4.26935- 3 1.70465- 2 8.00000+ 0 2.10000+ 1 2.82958- 3 1.73213- 2 8.00000+ 0 2.20000+ 1 3.31527- 3 1.73755- 2 8.00000+ 0 2.40000+ 1 2.62838- 4 1.77386- 2 8.00000+ 0 2.50000+ 1 2.65328- 4 1.77534- 2 8.00000+ 0 2.70000+ 1 6.82970- 4 1.78566- 2 8.00000+ 0 2.90000+ 1 8.06799- 4 1.79261- 2 8.00000+ 0 3.00000+ 1 1.05690- 3 1.80012- 2 8.00000+ 0 3.20000+ 1 5.90952- 4 1.81044- 2 8.00000+ 0 3.30000+ 1 6.84990- 4 1.81157- 2 1.00000+ 1 1.00000+ 1 1.12965- 5 1.26628- 2 1.00000+ 1 1.10000+ 1 2.26599- 4 1.37794- 2 1.00000+ 1 1.30000+ 1 7.90467- 4 1.43712- 2 1.00000+ 1 1.40000+ 1 5.25164- 3 1.45928- 2 1.00000+ 1 1.60000+ 1 2.22949- 3 1.69443- 2 1.00000+ 1 1.80000+ 1 1.32913- 6 1.71152- 2 1.00000+ 1 1.90000+ 1 4.75136- 5 1.74140- 2 1.00000+ 1 2.10000+ 1 1.64962- 4 1.76888- 2 1.00000+ 1 2.20000+ 1 8.62752- 4 1.77430- 2 1.00000+ 1 2.40000+ 1 1.02335- 4 1.81061- 2 1.00000+ 1 2.50000+ 1 3.49371- 4 1.81209- 2 1.00000+ 1 2.70000+ 1 5.40422- 4 1.82241- 2 1.00000+ 1 2.90000+ 1 3.32263- 7 1.82936- 2 1.00000+ 1 3.00000+ 1 1.11305- 5 1.83687- 2 1.00000+ 1 3.20000+ 1 3.35583- 5 1.84719- 2 1.00000+ 1 3.30000+ 1 1.62812- 4 1.84832- 2 1.10000+ 1 1.10000+ 1 8.05093- 4 1.48960- 2 1.10000+ 1 1.30000+ 1 1.40569- 3 1.54878- 2 1.10000+ 1 1.40000+ 1 8.87041- 4 1.57094- 2 1.10000+ 1 1.60000+ 1 2.84459- 3 1.80609- 2 1.10000+ 1 1.80000+ 1 6.18015- 5 1.82318- 2 1.10000+ 1 1.90000+ 1 3.35269- 4 1.85306- 2 1.10000+ 1 2.10000+ 1 1.78769- 4 1.88054- 2 1.10000+ 1 2.20000+ 1 8.30632- 5 1.88596- 2 1.10000+ 1 2.40000+ 1 9.65271- 5 1.92227- 2 1.10000+ 1 2.50000+ 1 8.63931- 5 1.92375- 2 1.10000+ 1 2.70000+ 1 6.82674- 4 1.93407- 2 1.10000+ 1 2.90000+ 1 1.56169- 5 1.94102- 2 1.10000+ 1 3.00000+ 1 7.87503- 5 1.94853- 2 1.10000+ 1 3.20000+ 1 3.27299- 5 1.95885- 2 1.10000+ 1 3.30000+ 1 1.37899- 5 1.95998- 2 1.30000+ 1 1.30000+ 1 6.16167- 4 1.60796- 2 1.30000+ 1 1.40000+ 1 1.65577- 2 1.63012- 2 1.30000+ 1 1.60000+ 1 1.75407- 3 1.86527- 2 1.30000+ 1 1.80000+ 1 2.40406- 4 1.88236- 2 1.30000+ 1 1.90000+ 1 3.82613- 4 1.91224- 2 1.30000+ 1 2.10000+ 1 3.03696- 4 1.93972- 2 1.30000+ 1 2.20000+ 1 2.92506- 3 1.94514- 2 1.30000+ 1 2.40000+ 1 2.49876- 4 1.98145- 2 1.30000+ 1 2.50000+ 1 6.72715- 4 1.98293- 2 1.30000+ 1 2.70000+ 1 4.09202- 4 1.99325- 2 1.30000+ 1 2.90000+ 1 6.24656- 5 2.00020- 2 1.30000+ 1 3.00000+ 1 9.65258- 5 2.00771- 2 1.30000+ 1 3.20000+ 1 6.32966- 5 2.01803- 2 1.30000+ 1 3.30000+ 1 5.58219- 4 2.01916- 2 1.40000+ 1 1.40000+ 1 4.46465- 3 1.65228- 2 1.40000+ 1 1.60000+ 1 2.08683- 3 1.88743- 2 1.40000+ 1 1.80000+ 1 1.21061- 3 1.90452- 2 1.40000+ 1 1.90000+ 1 2.24123- 4 1.93440- 2 1.40000+ 1 2.10000+ 1 2.78004- 3 1.96188- 2 1.40000+ 1 2.20000+ 1 1.66242- 3 1.96730- 2 1.40000+ 1 2.40000+ 1 7.35197- 4 2.00361- 2 1.40000+ 1 2.50000+ 1 5.38637- 4 2.00509- 2 1.40000+ 1 2.70000+ 1 4.90616- 4 2.01541- 2 1.40000+ 1 2.90000+ 1 2.95575- 4 2.02236- 2 1.40000+ 1 3.00000+ 1 5.63216- 5 2.02987- 2 1.40000+ 1 3.20000+ 1 5.30327- 4 2.04019- 2 1.40000+ 1 3.30000+ 1 3.21654- 4 2.04132- 2 1.60000+ 1 1.60000+ 1 2.87088- 4 2.12258- 2 1.60000+ 1 1.80000+ 1 5.88292- 4 2.13967- 2 1.60000+ 1 1.90000+ 1 7.55080- 4 2.16955- 2 1.60000+ 1 2.10000+ 1 4.47746- 4 2.19703- 2 1.60000+ 1 2.20000+ 1 5.28155- 4 2.20245- 2 1.60000+ 1 2.40000+ 1 3.50556- 5 2.23876- 2 1.60000+ 1 2.50000+ 1 3.32277- 5 2.24024- 2 1.60000+ 1 2.70000+ 1 1.46369- 4 2.25056- 2 1.60000+ 1 2.90000+ 1 1.47869- 4 2.25751- 2 1.60000+ 1 3.00000+ 1 1.87068- 4 2.26502- 2 1.60000+ 1 3.20000+ 1 9.37027- 5 2.27534- 2 1.60000+ 1 3.30000+ 1 1.09150- 4 2.27647- 2 1.80000+ 1 1.90000+ 1 1.29588- 5 2.18664- 2 1.80000+ 1 2.10000+ 1 4.61873- 5 2.21412- 2 1.80000+ 1 2.20000+ 1 2.08007- 4 2.21954- 2 1.80000+ 1 2.40000+ 1 1.47868- 5 2.25585- 2 1.80000+ 1 2.50000+ 1 5.74840- 5 2.25733- 2 1.80000+ 1 2.70000+ 1 1.42548- 4 2.26765- 2 1.80000+ 1 3.00000+ 1 2.99047- 6 2.28211- 2 1.80000+ 1 3.20000+ 1 9.13733- 6 2.29243- 2 1.80000+ 1 3.30000+ 1 3.95404- 5 2.29356- 2 1.90000+ 1 1.90000+ 1 3.35600- 5 2.21652- 2 1.90000+ 1 2.10000+ 1 4.66860- 5 2.24400- 2 1.90000+ 1 2.20000+ 1 2.09340- 5 2.24942- 2 1.90000+ 1 2.40000+ 1 2.44231- 5 2.28573- 2 1.90000+ 1 2.50000+ 1 2.07680- 5 2.28721- 2 1.90000+ 1 2.70000+ 1 1.81420- 4 2.29753- 2 1.90000+ 1 2.90000+ 1 3.32280- 6 2.30448- 2 1.90000+ 1 3.00000+ 1 1.56170- 5 2.31199- 2 1.90000+ 1 3.20000+ 1 8.30636- 6 2.32231- 2 1.90000+ 1 3.30000+ 1 3.32280- 6 2.32344- 2 2.10000+ 1 2.10000+ 1 3.45570- 5 2.27147- 2 2.10000+ 1 2.20000+ 1 5.37470- 4 2.27689- 2 2.10000+ 1 2.40000+ 1 4.28649- 5 2.31321- 2 2.10000+ 1 2.50000+ 1 8.65635- 5 2.31469- 2 2.10000+ 1 2.70000+ 1 1.04671- 4 2.32501- 2 2.10000+ 1 2.90000+ 1 1.17960- 5 2.33196- 2 2.10000+ 1 3.00000+ 1 1.17960- 5 2.33947- 2 2.10000+ 1 3.20000+ 1 1.41220- 5 2.34979- 2 2.10000+ 1 3.30000+ 1 1.04511- 4 2.35091- 2 2.20000+ 1 2.20000+ 1 1.65969- 4 2.28231- 2 2.20000+ 1 2.40000+ 1 1.02340- 4 2.31863- 2 2.20000+ 1 2.50000+ 1 8.25753- 5 2.32011- 2 2.20000+ 1 2.70000+ 1 1.24109- 4 2.33043- 2 2.20000+ 1 2.90000+ 1 5.11708- 5 2.33738- 2 2.20000+ 1 3.00000+ 1 5.31648- 6 2.34489- 2 2.20000+ 1 3.20000+ 1 1.04330- 4 2.35521- 2 2.20000+ 1 3.30000+ 1 6.51285- 5 2.35633- 2 2.40000+ 1 2.40000+ 1 1.32920- 6 2.35495- 2 2.40000+ 1 2.50000+ 1 2.27610- 5 2.35643- 2 2.40000+ 1 2.70000+ 1 7.97467- 6 2.36674- 2 2.40000+ 1 2.90000+ 1 3.15670- 6 2.37369- 2 2.40000+ 1 3.00000+ 1 5.98108- 6 2.38121- 2 2.40000+ 1 3.20000+ 1 8.30636- 6 2.39153- 2 2.40000+ 1 3.30000+ 1 1.86080- 5 2.39265- 2 2.50000+ 1 2.50000+ 1 4.81805- 6 2.35791- 2 2.50000+ 1 2.70000+ 1 7.47630- 6 2.36822- 2 2.50000+ 1 2.90000+ 1 1.29589- 5 2.37517- 2 2.50000+ 1 3.00000+ 1 4.98415- 6 2.38269- 2 2.50000+ 1 3.20000+ 1 1.56168- 5 2.39301- 2 2.50000+ 1 3.30000+ 1 1.52848- 5 2.39413- 2 2.70000+ 1 2.70000+ 1 1.86076- 5 2.37854- 2 2.70000+ 1 2.90000+ 1 3.58852- 5 2.38549- 2 2.70000+ 1 3.00000+ 1 4.50231- 5 2.39300- 2 2.70000+ 1 3.20000+ 1 2.19296- 5 2.40332- 2 2.70000+ 1 3.30000+ 1 2.55846- 5 2.40445- 2 2.90000+ 1 3.00000+ 1 8.30618- 7 2.39995- 2 2.90000+ 1 3.20000+ 1 2.32585- 6 2.41027- 2 2.90000+ 1 3.30000+ 1 9.80154- 6 2.41140- 2 3.00000+ 1 3.00000+ 1 2.07529- 6 2.40747- 2 3.00000+ 1 3.20000+ 1 2.45251- 6 2.41779- 2 3.00000+ 1 3.30000+ 1 9.43208- 7 2.41891- 2 3.20000+ 1 3.20000+ 1 1.49528- 6 2.42811- 2 3.20000+ 1 3.30000+ 1 2.04357- 5 2.42923- 2 3.30000+ 1 3.30000+ 1 6.47930- 6 2.43035- 2 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 6.00028- 5 4.78200- 3 8.00000+ 0 1.11750- 2 1.74629- 2 1.10000+ 1 6.21577- 4 1.89470- 2 1.30000+ 1 3.89438- 1 1.95388- 2 1.60000+ 1 3.08409- 3 2.21119- 2 1.90000+ 1 1.93759- 4 2.25816- 2 2.10000+ 1 9.14726- 2 2.28564- 2 2.40000+ 1 6.38337- 4 2.32737- 2 2.70000+ 1 8.25207- 4 2.33917- 2 3.00000+ 1 4.98178- 5 2.35363- 2 3.20000+ 1 1.89859- 2 2.36395- 2 3.50000+ 1 4.37538- 5 2.37625- 2 4.10000+ 1 1.71109- 4 2.37153- 2 4.40000+ 1 7.60537- 6 2.37490- 2 5.80000+ 1 1.45479- 5 2.37698- 2 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.30000+ 1 9.72956- 2 5.44800- 4 6.00000+ 0 1.40000+ 1 3.14127- 2 7.66400- 4 6.00000+ 0 1.60000+ 1 2.75965- 3 3.11790- 3 6.00000+ 0 1.80000+ 1 2.42895- 2 3.28880- 3 6.00000+ 0 1.90000+ 1 5.21732- 3 3.58760- 3 6.00000+ 0 2.10000+ 1 1.97169- 2 3.86236- 3 6.00000+ 0 2.20000+ 1 6.63501- 3 3.91656- 3 6.00000+ 0 2.40000+ 1 1.03754- 3 4.27975- 3 6.00000+ 0 2.50000+ 1 1.45932- 3 4.29453- 3 6.00000+ 0 2.70000+ 1 6.74475- 4 4.39770- 3 6.00000+ 0 2.90000+ 1 5.51635- 3 4.46720- 3 6.00000+ 0 3.00000+ 1 1.25029- 3 4.54235- 3 6.00000+ 0 3.20000+ 1 3.93469- 3 4.64554- 3 6.00000+ 0 3.30000+ 1 1.32993- 3 4.65677- 3 8.00000+ 0 8.00000+ 0 3.21011- 4 1.11498- 2 8.00000+ 0 1.00000+ 1 1.45324- 2 1.15173- 2 8.00000+ 0 1.10000+ 1 1.22906- 3 1.26339- 2 8.00000+ 0 1.30000+ 1 2.90784- 3 1.32257- 2 8.00000+ 0 1.40000+ 1 8.52576- 4 1.34473- 2 8.00000+ 0 1.60000+ 1 1.30988- 4 1.57988- 2 8.00000+ 0 1.80000+ 1 2.53387- 3 1.59697- 2 8.00000+ 0 1.90000+ 1 2.92631- 4 1.62685- 2 8.00000+ 0 2.10000+ 1 5.27519- 4 1.65433- 2 8.00000+ 0 2.20000+ 1 1.31242- 4 1.65975- 2 8.00000+ 0 2.40000+ 1 5.52311- 5 1.69606- 2 8.00000+ 0 2.50000+ 1 4.18049- 5 1.69754- 2 8.00000+ 0 2.70000+ 1 3.26836- 5 1.70786- 2 8.00000+ 0 2.90000+ 1 5.78931- 4 1.71481- 2 8.00000+ 0 3.00000+ 1 7.06890- 5 1.72232- 2 8.00000+ 0 3.20000+ 1 1.02873- 4 1.73264- 2 8.00000+ 0 3.30000+ 1 2.45764- 5 1.73377- 2 1.00000+ 1 1.00000+ 1 1.57386- 2 1.18848- 2 1.00000+ 1 1.10000+ 1 3.32969- 2 1.30014- 2 1.00000+ 1 1.30000+ 1 1.66191- 2 1.35932- 2 1.00000+ 1 1.40000+ 1 1.99623- 2 1.38148- 2 1.00000+ 1 1.60000+ 1 4.00986- 3 1.61663- 2 1.00000+ 1 1.80000+ 1 6.96653- 3 1.63372- 2 1.00000+ 1 1.90000+ 1 8.61436- 3 1.66360- 2 1.00000+ 1 2.10000+ 1 4.17755- 3 1.69108- 2 1.00000+ 1 2.20000+ 1 5.05981- 3 1.69650- 2 1.00000+ 1 2.40000+ 1 3.30643- 4 1.73281- 2 1.00000+ 1 2.50000+ 1 2.56402- 4 1.73429- 2 1.00000+ 1 2.70000+ 1 1.07204- 3 1.74461- 2 1.00000+ 1 2.90000+ 1 1.69269- 3 1.75156- 2 1.00000+ 1 3.00000+ 1 2.12327- 3 1.75907- 2 1.00000+ 1 3.20000+ 1 8.72596- 4 1.76939- 2 1.00000+ 1 3.30000+ 1 1.04692- 3 1.77052- 2 1.10000+ 1 1.10000+ 1 6.33690- 4 1.41180- 2 1.10000+ 1 1.30000+ 1 1.16508- 2 1.47098- 2 1.10000+ 1 1.40000+ 1 1.85159- 3 1.49314- 2 1.10000+ 1 1.60000+ 1 2.80990- 4 1.72829- 2 1.10000+ 1 1.80000+ 1 5.79570- 3 1.74538- 2 1.10000+ 1 1.90000+ 1 2.84781- 4 1.77526- 2 1.10000+ 1 2.10000+ 1 2.52327- 3 1.80274- 2 1.10000+ 1 2.20000+ 1 3.91703- 4 1.80816- 2 1.10000+ 1 2.40000+ 1 9.52617- 5 1.84447- 2 1.10000+ 1 2.50000+ 1 4.63668- 5 1.84595- 2 1.10000+ 1 2.70000+ 1 7.17051- 5 1.85627- 2 1.10000+ 1 2.90000+ 1 1.32232- 3 1.86322- 2 1.10000+ 1 3.00000+ 1 6.79015- 5 1.87073- 2 1.10000+ 1 3.20000+ 1 5.09794- 4 1.88105- 2 1.10000+ 1 3.30000+ 1 7.80347- 5 1.88218- 2 1.30000+ 1 1.30000+ 1 1.10253- 2 1.53016- 2 1.30000+ 1 1.40000+ 1 4.16786- 2 1.55232- 2 1.30000+ 1 1.60000+ 1 8.04938- 4 1.78747- 2 1.30000+ 1 1.80000+ 1 2.77089- 3 1.80456- 2 1.30000+ 1 1.90000+ 1 2.75232- 3 1.83444- 2 1.30000+ 1 2.10000+ 1 4.60792- 3 1.86192- 2 1.30000+ 1 2.20000+ 1 9.42028- 3 1.86734- 2 1.30000+ 1 2.40000+ 1 9.95715- 4 1.90365- 2 1.30000+ 1 2.50000+ 1 1.96036- 3 1.90513- 2 1.30000+ 1 2.70000+ 1 2.15874- 4 1.91545- 2 1.30000+ 1 2.90000+ 1 6.32386- 4 1.92240- 2 1.30000+ 1 3.00000+ 1 6.64087- 4 1.92991- 2 1.30000+ 1 3.20000+ 1 9.29373- 4 1.94023- 2 1.30000+ 1 3.30000+ 1 1.90260- 3 1.94136- 2 1.40000+ 1 1.40000+ 1 2.04089- 3 1.57448- 2 1.40000+ 1 1.60000+ 1 1.89773- 4 1.80963- 2 1.40000+ 1 1.80000+ 1 2.89326- 3 1.82672- 2 1.40000+ 1 1.90000+ 1 4.04886- 4 1.85660- 2 1.40000+ 1 2.10000+ 1 7.15507- 3 1.88408- 2 1.40000+ 1 2.20000+ 1 8.43996- 4 1.88950- 2 1.40000+ 1 2.40000+ 1 3.96276- 4 1.92581- 2 1.40000+ 1 2.50000+ 1 1.49744- 4 1.92729- 2 1.40000+ 1 2.70000+ 1 4.83945- 5 1.93761- 2 1.40000+ 1 2.90000+ 1 6.31373- 4 1.94456- 2 1.40000+ 1 3.00000+ 1 9.60249- 5 1.95207- 2 1.40000+ 1 3.20000+ 1 1.37626- 3 1.96239- 2 1.40000+ 1 3.30000+ 1 1.67989- 4 1.96352- 2 1.60000+ 1 1.60000+ 1 1.26683- 5 2.04478- 2 1.60000+ 1 1.80000+ 1 7.02080- 4 2.06187- 2 1.60000+ 1 1.90000+ 1 6.71441- 5 2.09175- 2 1.60000+ 1 2.10000+ 1 1.43159- 4 2.11923- 2 1.60000+ 1 2.20000+ 1 2.88841- 5 2.12465- 2 1.60000+ 1 2.40000+ 1 1.29214- 5 2.16096- 2 1.60000+ 1 2.50000+ 1 7.85441- 6 2.16244- 2 1.60000+ 1 2.70000+ 1 6.33416- 6 2.17276- 2 1.60000+ 1 2.90000+ 1 1.60643- 4 2.17971- 2 1.60000+ 1 3.00000+ 1 1.62158- 5 2.18722- 2 1.60000+ 1 3.20000+ 1 2.78707- 5 2.19754- 2 1.60000+ 1 3.30000+ 1 5.32083- 6 2.19867- 2 1.80000+ 1 1.80000+ 1 7.32741- 4 2.07896- 2 1.80000+ 1 1.90000+ 1 1.50464- 3 2.10884- 2 1.80000+ 1 2.10000+ 1 6.86878- 4 2.13632- 2 1.80000+ 1 2.20000+ 1 7.41829- 4 2.14174- 2 1.80000+ 1 2.40000+ 1 4.56046- 5 2.17805- 2 1.80000+ 1 2.50000+ 1 2.66023- 5 2.17953- 2 1.80000+ 1 2.70000+ 1 1.87747- 4 2.18985- 2 1.80000+ 1 2.90000+ 1 3.52177- 4 2.19680- 2 1.80000+ 1 3.00000+ 1 3.70919- 4 2.20431- 2 1.80000+ 1 3.20000+ 1 1.43154- 4 2.21463- 2 1.80000+ 1 3.30000+ 1 1.53787- 4 2.21576- 2 1.90000+ 1 1.90000+ 1 3.19243- 5 2.13872- 2 1.90000+ 1 2.10000+ 1 5.99970- 4 2.16620- 2 1.90000+ 1 2.20000+ 1 8.64007- 5 2.17162- 2 1.90000+ 1 2.40000+ 1 2.07766- 5 2.20793- 2 1.90000+ 1 2.50000+ 1 9.12137- 6 2.20941- 2 1.90000+ 1 2.70000+ 1 1.72291- 5 2.21973- 2 1.90000+ 1 2.90000+ 1 3.43576- 4 2.22668- 2 1.90000+ 1 3.00000+ 1 1.52012- 5 2.23419- 2 1.90000+ 1 3.20000+ 1 1.21366- 4 2.24451- 2 1.90000+ 1 3.30000+ 1 1.72291- 5 2.24564- 2 2.10000+ 1 2.10000+ 1 4.80132- 4 2.19367- 2 2.10000+ 1 2.20000+ 1 1.68692- 3 2.19909- 2 2.10000+ 1 2.40000+ 1 1.44163- 4 2.23541- 2 2.10000+ 1 2.50000+ 1 2.84017- 4 2.23689- 2 2.10000+ 1 2.70000+ 1 3.82583- 5 2.24721- 2 2.10000+ 1 2.90000+ 1 1.55821- 4 2.25416- 2 2.10000+ 1 3.00000+ 1 1.44935- 4 2.26167- 2 2.10000+ 1 3.20000+ 1 1.93319- 4 2.27199- 2 2.10000+ 1 3.30000+ 1 3.43317- 4 2.27311- 2 2.20000+ 1 2.20000+ 1 8.84230- 5 2.20451- 2 2.20000+ 1 2.40000+ 1 6.25807- 5 2.24083- 2 2.20000+ 1 2.50000+ 1 2.43226- 5 2.24231- 2 2.20000+ 1 2.70000+ 1 7.34780- 6 2.25263- 2 2.20000+ 1 2.90000+ 1 1.62408- 4 2.25958- 2 2.20000+ 1 3.00000+ 1 2.05231- 5 2.26709- 2 2.20000+ 1 3.20000+ 1 3.27094- 4 2.27741- 2 2.20000+ 1 3.30000+ 1 3.52180- 5 2.27853- 2 2.40000+ 1 2.40000+ 1 3.80049- 6 2.27715- 2 2.40000+ 1 2.50000+ 1 2.53370- 5 2.27863- 2 2.40000+ 1 2.70000+ 1 3.29370- 6 2.28894- 2 2.40000+ 1 2.90000+ 1 1.01339- 5 2.29589- 2 2.40000+ 1 3.00000+ 1 5.06748- 6 2.30341- 2 2.40000+ 1 3.20000+ 1 2.68565- 5 2.31373- 2 2.40000+ 1 3.30000+ 1 1.16545- 5 2.31485- 2 2.50000+ 1 2.50000+ 1 1.52009- 6 2.28011- 2 2.50000+ 1 2.70000+ 1 2.02690- 6 2.29042- 2 2.50000+ 1 2.90000+ 1 5.32068- 6 2.29737- 2 2.50000+ 1 3.00000+ 1 2.02690- 6 2.30489- 2 2.50000+ 1 3.20000+ 1 5.26996- 5 2.31521- 2 2.50000+ 1 3.30000+ 1 4.56050- 6 2.31633- 2 2.70000+ 1 2.70000+ 1 7.60105- 7 2.30074- 2 2.70000+ 1 2.90000+ 1 4.30722- 5 2.30769- 2 2.70000+ 1 3.00000+ 1 4.05382- 6 2.31520- 2 2.70000+ 1 3.20000+ 1 7.34784- 6 2.32552- 2 2.70000+ 1 3.30000+ 1 1.26680- 6 2.32665- 2 2.90000+ 1 2.90000+ 1 4.20579- 5 2.31464- 2 2.90000+ 1 3.00000+ 1 8.46241- 5 2.32215- 2 2.90000+ 1 3.20000+ 1 3.24304- 5 2.33247- 2 2.90000+ 1 3.30000+ 1 3.36969- 5 2.33360- 2 3.00000+ 1 3.00000+ 1 1.77349- 6 2.32967- 2 3.00000+ 1 3.20000+ 1 2.93896- 5 2.33999- 2 3.00000+ 1 3.30000+ 1 4.05379- 6 2.34111- 2 3.20000+ 1 3.20000+ 1 1.90265- 5 2.35031- 2 3.20000+ 1 3.30000+ 1 6.49881- 5 2.35143- 2 3.30000+ 1 3.30000+ 1 3.53619- 6 2.35255- 2 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 2.42261- 2 1.26809- 2 1.00000+ 1 3.16661- 4 1.30484- 2 1.10000+ 1 2.90281- 4 1.41650- 2 1.30000+ 1 3.73281- 2 1.47568- 2 1.40000+ 1 3.27701- 1 1.49784- 2 1.60000+ 1 6.22932- 3 1.73299- 2 1.80000+ 1 6.91512- 5 1.75008- 2 1.90000+ 1 8.04792- 5 1.77996- 2 2.10000+ 1 7.67742- 3 1.80744- 2 2.20000+ 1 7.06852- 2 1.81286- 2 2.40000+ 1 1.15080- 4 1.84917- 2 2.50000+ 1 6.30982- 4 1.85065- 2 2.70000+ 1 1.64440- 3 1.86097- 2 2.90000+ 1 1.66740- 5 1.86792- 2 3.00000+ 1 2.01491- 5 1.87543- 2 3.20000+ 1 1.54880- 3 1.88575- 2 3.30000+ 1 1.42730- 2 1.88688- 2 3.50000+ 1 7.86872- 6 1.89805- 2 3.60000+ 1 4.19751- 5 1.89820- 2 4.10000+ 1 3.35081- 4 1.89333- 2 4.30000+ 1 2.87481- 6 1.89544- 2 4.40000+ 1 3.11471- 6 1.89670- 2 5.80000+ 1 2.95291- 5 1.89878- 2 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 3.20391- 4 6.36780- 3 8.00000+ 0 1.00000+ 1 1.35386- 4 6.73530- 3 8.00000+ 0 1.10000+ 1 1.72449- 2 7.85190- 3 8.00000+ 0 1.30000+ 1 2.99762- 3 8.44370- 3 8.00000+ 0 1.40000+ 1 6.37619- 3 8.66530- 3 8.00000+ 0 1.60000+ 1 1.35386- 4 1.10168- 2 8.00000+ 0 1.80000+ 1 2.09203- 5 1.11877- 2 8.00000+ 0 1.90000+ 1 2.92296- 3 1.14865- 2 8.00000+ 0 2.10000+ 1 3.81066- 4 1.17613- 2 8.00000+ 0 2.20000+ 1 7.76764- 4 1.18155- 2 8.00000+ 0 2.40000+ 1 3.77775- 4 1.21786- 2 8.00000+ 0 2.50000+ 1 6.27022- 4 1.21934- 2 8.00000+ 0 2.70000+ 1 3.37729- 5 1.22966- 2 8.00000+ 0 2.90000+ 1 4.78195- 6 1.23661- 2 8.00000+ 0 3.00000+ 1 6.54232- 4 1.24412- 2 8.00000+ 0 3.20000+ 1 6.93403- 5 1.25444- 2 8.00000+ 0 3.30000+ 1 1.36579- 4 1.25557- 2 1.00000+ 1 1.00000+ 1 5.67852- 6 7.10280- 3 1.00000+ 1 1.10000+ 1 2.88724- 2 8.21940- 3 1.00000+ 1 1.30000+ 1 1.23260- 3 8.81120- 3 1.00000+ 1 1.40000+ 1 8.27765- 3 9.03280- 3 1.00000+ 1 1.60000+ 1 2.95892- 5 1.13843- 2 1.00000+ 1 1.80000+ 1 9.86319- 6 1.15552- 2 1.00000+ 1 1.90000+ 1 5.08260- 3 1.18540- 2 1.00000+ 1 2.10000+ 1 2.40604- 4 1.21288- 2 1.00000+ 1 2.20000+ 1 1.36025- 3 1.21830- 2 1.00000+ 1 2.40000+ 1 3.01578- 4 1.25461- 2 1.00000+ 1 2.50000+ 1 7.02397- 4 1.25609- 2 1.00000+ 1 2.70000+ 1 7.77090- 6 1.26641- 2 1.00000+ 1 2.90000+ 1 3.28770- 6 1.27336- 2 1.00000+ 1 3.00000+ 1 1.14690- 3 1.28087- 2 1.00000+ 1 3.20000+ 1 4.96142- 5 1.29119- 2 1.00000+ 1 3.30000+ 1 2.60330- 4 1.29232- 2 1.10000+ 1 1.10000+ 1 3.33909- 2 9.33600- 3 1.10000+ 1 1.30000+ 1 3.50063- 2 9.92780- 3 1.10000+ 1 1.40000+ 1 4.31237- 2 1.01494- 2 1.10000+ 1 1.60000+ 1 4.66540- 3 1.25009- 2 1.10000+ 1 1.80000+ 1 7.00852- 3 1.26718- 2 1.10000+ 1 1.90000+ 1 1.42970- 2 1.29706- 2 1.10000+ 1 2.10000+ 1 8.20887- 3 1.32454- 2 1.10000+ 1 2.20000+ 1 1.00917- 2 1.32996- 2 1.10000+ 1 2.40000+ 1 9.00499- 4 1.36627- 2 1.10000+ 1 2.50000+ 1 1.05768- 3 1.36775- 2 1.10000+ 1 2.70000+ 1 1.24091- 3 1.37807- 2 1.10000+ 1 2.90000+ 1 1.73411- 3 1.38502- 2 1.10000+ 1 3.00000+ 1 3.39635- 3 1.39253- 2 1.10000+ 1 3.20000+ 1 1.69345- 3 1.40285- 2 1.10000+ 1 3.30000+ 1 2.05503- 3 1.40398- 2 1.30000+ 1 1.30000+ 1 4.47415- 3 1.05196- 2 1.30000+ 1 1.40000+ 1 8.31151- 2 1.07412- 2 1.30000+ 1 1.60000+ 1 7.16422- 4 1.30927- 2 1.30000+ 1 1.80000+ 1 3.41017- 4 1.32636- 2 1.30000+ 1 1.90000+ 1 5.52848- 3 1.35624- 2 1.30000+ 1 2.10000+ 1 1.74341- 3 1.38372- 2 1.30000+ 1 2.20000+ 1 1.36065- 2 1.38914- 2 1.30000+ 1 2.40000+ 1 4.76416- 4 1.42545- 2 1.30000+ 1 2.50000+ 1 1.57788- 3 1.42693- 2 1.30000+ 1 2.70000+ 1 1.87693- 4 1.43725- 2 1.30000+ 1 2.90000+ 1 8.57806- 5 1.44420- 2 1.30000+ 1 3.00000+ 1 1.21610- 3 1.45171- 2 1.30000+ 1 3.20000+ 1 3.48195- 4 1.46203- 2 1.30000+ 1 3.30000+ 1 2.57317- 3 1.46316- 2 1.40000+ 1 1.40000+ 1 5.46641- 2 1.09628- 2 1.40000+ 1 1.60000+ 1 1.54183- 3 1.33143- 2 1.40000+ 1 1.80000+ 1 1.80428- 3 1.34852- 2 1.40000+ 1 1.90000+ 1 7.58504- 3 1.37840- 2 1.40000+ 1 2.10000+ 1 1.62990- 2 1.40588- 2 1.40000+ 1 2.20000+ 1 2.05759- 2 1.41130- 2 1.40000+ 1 2.40000+ 1 4.95046- 3 1.44761- 2 1.40000+ 1 2.50000+ 1 4.43132- 3 1.44909- 2 1.40000+ 1 2.70000+ 1 4.06766- 4 1.45941- 2 1.40000+ 1 2.90000+ 1 4.36938- 4 1.46636- 2 1.40000+ 1 3.00000+ 1 1.72594- 3 1.47387- 2 1.40000+ 1 3.20000+ 1 3.24420- 3 1.48419- 2 1.40000+ 1 3.30000+ 1 4.02451- 3 1.48532- 2 1.60000+ 1 1.60000+ 1 1.52421- 5 1.56658- 2 1.60000+ 1 1.80000+ 1 5.38012- 6 1.58367- 2 1.60000+ 1 1.90000+ 1 7.89356- 4 1.61355- 2 1.60000+ 1 2.10000+ 1 9.74367- 5 1.64103- 2 1.60000+ 1 2.20000+ 1 1.97259- 4 1.64645- 2 1.60000+ 1 2.40000+ 1 4.51308- 5 1.68276- 2 1.60000+ 1 2.50000+ 1 8.39882- 5 1.68424- 2 1.60000+ 1 2.70000+ 1 7.77097- 6 1.69456- 2 1.60000+ 1 2.90000+ 1 1.19553- 6 1.70151- 2 1.60000+ 1 3.00000+ 1 1.76342- 4 1.70902- 2 1.60000+ 1 3.20000+ 1 1.79324- 5 1.71934- 2 1.60000+ 1 3.30000+ 1 3.49700- 5 1.72047- 2 1.80000+ 1 1.80000+ 1 2.98880- 7 1.60076- 2 1.80000+ 1 1.90000+ 1 1.22204- 3 1.63064- 2 1.80000+ 1 2.10000+ 1 6.06707- 5 1.65812- 2 1.80000+ 1 2.20000+ 1 3.30853- 4 1.66354- 2 1.80000+ 1 2.40000+ 1 4.51298- 5 1.69985- 2 1.80000+ 1 2.50000+ 1 9.80330- 5 1.70133- 2 1.80000+ 1 2.70000+ 1 1.49436- 6 1.71165- 2 1.80000+ 1 3.00000+ 1 2.75268- 4 1.72611- 2 1.80000+ 1 3.20000+ 1 1.19550- 5 1.73643- 2 1.80000+ 1 3.30000+ 1 6.42586- 5 1.73756- 2 1.90000+ 1 1.90000+ 1 1.45978- 3 1.66052- 2 1.90000+ 1 2.10000+ 1 1.30159- 3 1.68800- 2 1.90000+ 1 2.20000+ 1 1.75296- 3 1.69342- 2 1.90000+ 1 2.40000+ 1 1.17166- 4 1.72973- 2 1.90000+ 1 2.50000+ 1 1.44656- 4 1.73121- 2 1.90000+ 1 2.70000+ 1 2.09815- 4 1.74153- 2 1.90000+ 1 2.90000+ 1 3.01868- 4 1.74848- 2 1.90000+ 1 3.00000+ 1 6.85615- 4 1.75599- 2 1.90000+ 1 3.20000+ 1 2.68691- 4 1.76631- 2 1.90000+ 1 3.30000+ 1 3.55972- 4 1.76744- 2 2.10000+ 1 2.10000+ 1 1.62598- 4 1.71547- 2 2.10000+ 1 2.20000+ 1 2.81005- 3 1.72089- 2 2.10000+ 1 2.40000+ 1 6.09699- 5 1.75721- 2 2.10000+ 1 2.50000+ 1 1.88000- 4 1.75869- 2 2.10000+ 1 2.70000+ 1 2.57035- 5 1.76901- 2 2.10000+ 1 2.90000+ 1 1.52418- 5 1.77596- 2 2.10000+ 1 3.00000+ 1 2.86622- 4 1.78347- 2 2.10000+ 1 3.20000+ 1 6.42586- 5 1.79379- 2 2.10000+ 1 3.30000+ 1 5.36170- 4 1.79491- 2 2.20000+ 1 2.20000+ 1 1.95113- 3 1.72631- 2 2.20000+ 1 2.40000+ 1 6.27960- 4 1.76263- 2 2.20000+ 1 2.50000+ 1 5.50532- 4 1.76411- 2 2.20000+ 1 2.70000+ 1 5.26054- 5 1.77443- 2 2.20000+ 1 2.90000+ 1 8.12972- 5 1.78138- 2 2.20000+ 1 3.00000+ 1 3.97514- 4 1.78889- 2 2.20000+ 1 3.20000+ 1 5.64311- 4 1.79921- 2 2.20000+ 1 3.30000+ 1 7.63362- 4 1.80033- 2 2.40000+ 1 2.40000+ 1 2.98878- 6 1.79895- 2 2.40000+ 1 2.50000+ 1 9.26507- 5 1.80043- 2 2.40000+ 1 2.70000+ 1 1.01625- 5 1.81074- 2 2.40000+ 1 2.90000+ 1 1.01625- 5 1.81769- 2 2.40000+ 1 3.00000+ 1 2.48066- 5 1.82521- 2 2.40000+ 1 3.20000+ 1 1.10582- 5 1.83553- 2 2.40000+ 1 3.30000+ 1 1.12372- 4 1.83665- 2 2.50000+ 1 2.50000+ 1 3.28763- 5 1.80191- 2 2.50000+ 1 2.70000+ 1 1.94272- 5 1.81222- 2 2.50000+ 1 2.90000+ 1 2.18182- 5 1.81917- 2 2.50000+ 1 3.00000+ 1 3.10828- 5 1.82669- 2 2.50000+ 1 3.20000+ 1 3.34738- 5 1.83701- 2 2.50000+ 1 3.30000+ 1 9.80324- 5 1.83813- 2 2.70000+ 1 2.70000+ 1 8.96628- 7 1.82254- 2 2.70000+ 1 2.90000+ 1 2.98886- 7 1.82949- 2 2.70000+ 1 3.00000+ 1 4.69252- 5 1.83700- 2 2.70000+ 1 3.20000+ 1 4.78210- 6 1.84732- 2 2.70000+ 1 3.30000+ 1 9.26533- 6 1.84845- 2 2.90000+ 1 3.00000+ 1 6.78471- 5 1.84395- 2 2.90000+ 1 3.20000+ 1 2.98882- 6 1.85427- 2 2.90000+ 1 3.30000+ 1 1.58414- 5 1.85540- 2 3.00000+ 1 3.00000+ 1 8.03977- 5 1.85147- 2 3.00000+ 1 3.20000+ 1 5.91760- 5 1.86179- 2 3.00000+ 1 3.30000+ 1 8.06969- 5 1.86291- 2 3.20000+ 1 3.20000+ 1 6.27610- 6 1.87211- 2 3.20000+ 1 3.30000+ 1 1.07894- 4 1.87323- 2 3.30000+ 1 3.30000+ 1 7.47182- 5 1.87435- 2 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.06279- 5 3.67500- 4 1.10000+ 1 1.62889- 3 1.48410- 3 1.80000+ 1 3.16898- 3 4.81990- 3 1.90000+ 1 1.38609- 3 5.11870- 3 2.90000+ 1 8.80646- 4 5.99830- 3 3.00000+ 1 4.58028- 4 6.07345- 3 4.30000+ 1 1.57819- 4 6.27346- 3 4.40000+ 1 7.48696- 5 6.28610- 3 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.90000+ 1 1.68281- 2 5.27000- 5 1.00000+ 1 3.00000+ 1 1.90156- 2 1.27850- 4 1.00000+ 1 3.20000+ 1 1.11691- 2 2.31040- 4 1.00000+ 1 3.30000+ 1 1.42330- 2 2.42270- 4 1.00000+ 1 3.50000+ 1 7.79997- 4 3.54020- 4 1.00000+ 1 3.60000+ 1 9.77338- 4 3.55550- 4 1.00000+ 1 4.10000+ 1 3.02736- 3 3.06810- 4 1.00000+ 1 4.30000+ 1 2.69959- 3 3.27860- 4 1.00000+ 1 4.40000+ 1 2.75155- 3 3.40500- 4 1.00000+ 1 4.60000+ 1 5.52468- 5 3.62850- 4 1.00000+ 1 4.70000+ 1 6.08878- 5 3.63570- 4 1.00000+ 1 5.80000+ 1 2.82950- 4 3.61320- 4 1.10000+ 1 1.80000+ 1 5.24510- 2 0.00000+ 0 1.10000+ 1 1.90000+ 1 3.41399- 2 2.89700- 4 1.10000+ 1 2.10000+ 1 8.55825- 3 5.64460- 4 1.10000+ 1 2.20000+ 1 2.51602- 2 6.18660- 4 1.10000+ 1 2.40000+ 1 1.99619- 1 9.81850- 4 1.10000+ 1 2.50000+ 1 2.38531- 1 9.96630- 4 1.10000+ 1 2.70000+ 1 1.13339- 2 1.09980- 3 1.10000+ 1 2.90000+ 1 1.18126- 2 1.16930- 3 1.10000+ 1 3.00000+ 1 8.26876- 3 1.24445- 3 1.10000+ 1 3.20000+ 1 2.13439- 3 1.34764- 3 1.10000+ 1 3.30000+ 1 5.59535- 3 1.35887- 3 1.10000+ 1 3.50000+ 1 7.30154- 3 1.47062- 3 1.10000+ 1 3.60000+ 1 8.37588- 3 1.47215- 3 1.10000+ 1 4.10000+ 1 2.23402- 3 1.42341- 3 1.10000+ 1 4.30000+ 1 1.96111- 3 1.44446- 3 1.10000+ 1 4.40000+ 1 1.23292- 3 1.45710- 3 1.10000+ 1 4.60000+ 1 1.18286- 5 1.47945- 3 1.10000+ 1 4.70000+ 1 2.59416- 5 1.48017- 3 1.10000+ 1 5.80000+ 1 2.08613- 4 1.47792- 3 1.30000+ 1 1.60000+ 1 2.68315- 2 4.11800- 4 1.30000+ 1 1.80000+ 1 5.52359- 3 5.82700- 4 1.30000+ 1 1.90000+ 1 1.05893- 2 8.81500- 4 1.30000+ 1 2.10000+ 1 8.88606- 3 1.15626- 3 1.30000+ 1 2.20000+ 1 1.02835- 2 1.21046- 3 1.30000+ 1 2.40000+ 1 1.01666- 2 1.57365- 3 1.30000+ 1 2.50000+ 1 9.79300- 3 1.58843- 3 1.30000+ 1 2.70000+ 1 4.35335- 3 1.69160- 3 1.30000+ 1 2.90000+ 1 1.08661- 3 1.76110- 3 1.30000+ 1 3.00000+ 1 1.90972- 3 1.83625- 3 1.30000+ 1 3.20000+ 1 1.48902- 3 1.93944- 3 1.30000+ 1 3.30000+ 1 1.87784- 3 1.95067- 3 1.30000+ 1 3.50000+ 1 3.95314- 4 2.06242- 3 1.30000+ 1 3.60000+ 1 3.45979- 4 2.06395- 3 1.30000+ 1 4.10000+ 1 7.87239- 4 2.01521- 3 1.30000+ 1 4.30000+ 1 1.77432- 4 2.03626- 3 1.30000+ 1 4.40000+ 1 2.71523- 4 2.04890- 3 1.30000+ 1 4.60000+ 1 7.79585- 6 2.07125- 3 1.30000+ 1 4.70000+ 1 8.46815- 6 2.07197- 3 1.30000+ 1 5.80000+ 1 7.25844- 5 2.06972- 3 1.40000+ 1 1.60000+ 1 3.61344- 2 6.33400- 4 1.40000+ 1 1.80000+ 1 8.29092- 4 8.04300- 4 1.40000+ 1 1.90000+ 1 1.26250- 2 1.10310- 3 1.40000+ 1 2.10000+ 1 1.19265- 2 1.37786- 3 1.40000+ 1 2.20000+ 1 1.59627- 2 1.43206- 3 1.40000+ 1 2.40000+ 1 1.24491- 2 1.79525- 3 1.40000+ 1 2.50000+ 1 1.81382- 2 1.81003- 3 1.40000+ 1 2.70000+ 1 5.75932- 3 1.91320- 3 1.40000+ 1 2.90000+ 1 2.46785- 4 1.98270- 3 1.40000+ 1 3.00000+ 1 2.23522- 3 2.05785- 3 1.40000+ 1 3.20000+ 1 2.23172- 3 2.16104- 3 1.40000+ 1 3.30000+ 1 2.81071- 3 2.17227- 3 1.40000+ 1 3.50000+ 1 4.51371- 4 2.28402- 3 1.40000+ 1 3.60000+ 1 6.60653- 4 2.28555- 3 1.40000+ 1 4.10000+ 1 1.03696- 3 2.23681- 3 1.40000+ 1 4.30000+ 1 4.42227- 5 2.25786- 3 1.40000+ 1 4.40000+ 1 3.17485- 4 2.27050- 3 1.40000+ 1 4.60000+ 1 1.18286- 5 2.29285- 3 1.40000+ 1 4.70000+ 1 1.26350- 5 2.29357- 3 1.40000+ 1 5.80000+ 1 9.55703- 5 2.29132- 3 1.60000+ 1 1.60000+ 1 2.19144- 3 2.98490- 3 1.60000+ 1 1.80000+ 1 3.92562- 3 3.15580- 3 1.60000+ 1 1.90000+ 1 5.92719- 3 3.45460- 3 1.60000+ 1 2.10000+ 1 7.24276- 3 3.72936- 3 1.60000+ 1 2.20000+ 1 9.94225- 3 3.78356- 3 1.60000+ 1 2.40000+ 1 5.51379- 3 4.14675- 3 1.60000+ 1 2.50000+ 1 6.76809- 3 4.16153- 3 1.60000+ 1 2.70000+ 1 9.38504- 4 4.26470- 3 1.60000+ 1 2.90000+ 1 9.82723- 4 4.33420- 3 1.60000+ 1 3.00000+ 1 1.46037- 3 4.40935- 3 1.60000+ 1 3.20000+ 1 1.47076- 3 4.51254- 3 1.60000+ 1 3.30000+ 1 1.99909- 3 4.52377- 3 1.60000+ 1 3.50000+ 1 2.83338- 4 4.63552- 3 1.60000+ 1 3.60000+ 1 3.36580- 4 4.63705- 3 1.60000+ 1 4.10000+ 1 1.83341- 4 4.58831- 3 1.60000+ 1 4.30000+ 1 1.67752- 4 4.60936- 3 1.60000+ 1 4.40000+ 1 2.20163- 4 4.62200- 3 1.60000+ 1 4.60000+ 1 7.79596- 6 4.64435- 3 1.60000+ 1 4.70000+ 1 9.14012- 6 4.64507- 3 1.60000+ 1 5.80000+ 1 1.70710- 5 4.64282- 3 1.80000+ 1 1.80000+ 1 1.40459- 4 3.32670- 3 1.80000+ 1 1.90000+ 1 4.90748- 4 3.62550- 3 1.80000+ 1 2.10000+ 1 2.26358- 4 3.90026- 3 1.80000+ 1 2.20000+ 1 9.12675- 5 3.95446- 3 1.80000+ 1 2.40000+ 1 1.84148- 5 4.31765- 3 1.80000+ 1 2.50000+ 1 5.39422- 4 4.33243- 3 1.80000+ 1 2.70000+ 1 6.24780- 4 4.43560- 3 1.80000+ 1 2.90000+ 1 4.93296- 5 4.50510- 3 1.80000+ 1 3.00000+ 1 8.13185- 5 4.58025- 3 1.80000+ 1 3.20000+ 1 3.85772- 5 4.68344- 3 1.80000+ 1 3.30000+ 1 2.39258- 5 4.69467- 3 1.80000+ 1 3.50000+ 1 4.03241- 7 4.80642- 3 1.80000+ 1 3.60000+ 1 1.68009- 5 4.80795- 3 1.80000+ 1 4.10000+ 1 1.12909- 4 4.75921- 3 1.80000+ 1 4.30000+ 1 7.79590- 6 4.78026- 3 1.80000+ 1 4.40000+ 1 1.14258- 5 4.79290- 3 1.80000+ 1 4.60000+ 1 1.34414- 7 4.81525- 3 1.80000+ 1 4.70000+ 1 1.34414- 7 4.81597- 3 1.80000+ 1 5.80000+ 1 1.04834- 5 4.81372- 3 1.90000+ 1 1.90000+ 1 4.03782- 4 3.92430- 3 1.90000+ 1 2.10000+ 1 7.12411- 4 4.19906- 3 1.90000+ 1 2.20000+ 1 1.53950- 3 4.25326- 3 1.90000+ 1 2.40000+ 1 1.09151- 3 4.61645- 3 1.90000+ 1 2.50000+ 1 1.50223- 3 4.63123- 3 1.90000+ 1 2.70000+ 1 9.47893- 4 4.73440- 3 1.90000+ 1 2.90000+ 1 1.05924- 4 4.80390- 3 1.90000+ 1 3.00000+ 1 1.69230- 4 4.87905- 3 1.90000+ 1 3.20000+ 1 1.38981- 4 4.98224- 3 1.90000+ 1 3.30000+ 1 2.93160- 4 4.99347- 3 1.90000+ 1 3.50000+ 1 5.28252- 5 5.10522- 3 1.90000+ 1 3.60000+ 1 6.38464- 5 5.10675- 3 1.90000+ 1 4.10000+ 1 1.71918- 4 5.05801- 3 1.90000+ 1 4.30000+ 1 1.76085- 5 5.07906- 3 1.90000+ 1 4.40000+ 1 2.48662- 5 5.09170- 3 1.90000+ 1 4.60000+ 1 6.72060- 7 5.11405- 3 1.90000+ 1 4.70000+ 1 1.34414- 6 5.11477- 3 1.90000+ 1 5.80000+ 1 1.58607- 5 5.11252- 3 2.10000+ 1 2.10000+ 1 1.01487- 4 4.47382- 3 2.10000+ 1 2.20000+ 1 2.04444- 4 4.52802- 3 2.10000+ 1 2.40000+ 1 4.49208- 4 4.89121- 3 2.10000+ 1 2.50000+ 1 2.46384- 3 4.90599- 3 2.10000+ 1 2.70000+ 1 1.12369- 3 5.00916- 3 2.10000+ 1 2.90000+ 1 3.42754- 5 5.07866- 3 2.10000+ 1 3.00000+ 1 1.31327- 4 5.15381- 3 2.10000+ 1 3.20000+ 1 3.21249- 5 5.25700- 3 2.10000+ 1 3.30000+ 1 3.48130- 5 5.26823- 3 2.10000+ 1 3.50000+ 1 2.05653- 5 5.37998- 3 2.10000+ 1 3.60000+ 1 8.79080- 5 5.38151- 3 2.10000+ 1 4.10000+ 1 2.01745- 4 5.33277- 3 2.10000+ 1 4.30000+ 1 5.24205- 6 5.35382- 3 2.10000+ 1 4.40000+ 1 1.86837- 5 5.36646- 3 2.10000+ 1 4.60000+ 1 1.34414- 7 5.38881- 3 2.10000+ 1 4.70000+ 1 1.34414- 7 5.38953- 3 2.10000+ 1 5.80000+ 1 1.85498- 5 5.38728- 3 2.20000+ 1 2.20000+ 1 2.11700- 4 4.58222- 3 2.20000+ 1 2.40000+ 1 2.11740- 3 4.94541- 3 2.20000+ 1 2.50000+ 1 1.43379- 3 4.96019- 3 2.20000+ 1 2.70000+ 1 1.53222- 3 5.06336- 3 2.20000+ 1 2.90000+ 1 1.58608- 5 5.13286- 3 2.20000+ 1 3.00000+ 1 2.78782- 4 5.20801- 3 2.20000+ 1 3.20000+ 1 2.99747- 5 5.31120- 3 2.20000+ 1 3.30000+ 1 6.96267- 5 5.32243- 3 2.20000+ 1 3.50000+ 1 7.56783- 5 5.43418- 3 2.20000+ 1 3.60000+ 1 5.57804- 5 5.43571- 3 2.20000+ 1 4.10000+ 1 2.74754- 4 5.38697- 3 2.20000+ 1 4.30000+ 1 2.55389- 6 5.40802- 3 2.20000+ 1 4.40000+ 1 3.93841- 5 5.42066- 3 2.20000+ 1 4.60000+ 1 1.34415- 7 5.44301- 3 2.20000+ 1 4.70000+ 1 2.68830- 7 5.44373- 3 2.20000+ 1 5.80000+ 1 2.52701- 5 5.44148- 3 2.40000+ 1 2.40000+ 1 6.22080- 4 5.30860- 3 2.40000+ 1 2.50000+ 1 4.06114- 3 5.32338- 3 2.40000+ 1 2.70000+ 1 7.77880- 4 5.42655- 3 2.40000+ 1 2.90000+ 1 5.10780- 6 5.49605- 3 2.40000+ 1 3.00000+ 1 1.40191- 4 5.57120- 3 2.40000+ 1 3.20000+ 1 8.07849- 5 5.67439- 3 2.40000+ 1 3.30000+ 1 4.41689- 4 5.68562- 3 2.40000+ 1 3.50000+ 1 5.75294- 5 5.79737- 3 2.40000+ 1 3.60000+ 1 1.52692- 4 5.79890- 3 2.40000+ 1 4.10000+ 1 1.37233- 4 5.75016- 3 2.40000+ 1 4.30000+ 1 9.40885- 7 5.77121- 3 2.40000+ 1 4.40000+ 1 1.85499- 5 5.78385- 3 2.40000+ 1 4.60000+ 1 4.03246- 7 5.80620- 3 2.40000+ 1 4.70000+ 1 2.01628- 6 5.80692- 3 2.40000+ 1 5.80000+ 1 1.26350- 5 5.80467- 3 2.50000+ 1 2.50000+ 1 1.39791- 3 5.33816- 3 2.50000+ 1 2.70000+ 1 9.52342- 4 5.44133- 3 2.50000+ 1 2.90000+ 1 1.15197- 4 5.51083- 3 2.50000+ 1 3.00000+ 1 2.05933- 4 5.58598- 3 2.50000+ 1 3.20000+ 1 4.96647- 4 5.68917- 3 2.50000+ 1 3.30000+ 1 2.77832- 4 5.70040- 3 2.50000+ 1 3.50000+ 1 1.54440- 4 5.81215- 3 2.50000+ 1 3.60000+ 1 1.15867- 4 5.81368- 3 2.50000+ 1 4.10000+ 1 1.68010- 4 5.76494- 3 2.50000+ 1 4.30000+ 1 1.89525- 5 5.78599- 3 2.50000+ 1 4.40000+ 1 2.76893- 5 5.79863- 3 2.50000+ 1 4.60000+ 1 2.68829- 6 5.82098- 3 2.50000+ 1 4.70000+ 1 1.20973- 6 5.82170- 3 2.50000+ 1 5.80000+ 1 1.54580- 5 5.81945- 3 2.70000+ 1 2.70000+ 1 9.19389- 5 5.54450- 3 2.70000+ 1 2.90000+ 1 1.58196- 4 5.61400- 3 2.70000+ 1 3.00000+ 1 2.33342- 4 5.68915- 3 2.70000+ 1 3.20000+ 1 2.29984- 4 5.79234- 3 2.70000+ 1 3.30000+ 1 3.10496- 4 5.80357- 3 2.70000+ 1 3.50000+ 1 4.01901- 5 5.91532- 3 2.70000+ 1 3.60000+ 1 4.75827- 5 5.91685- 3 2.70000+ 1 4.10000+ 1 3.52156- 5 5.86811- 3 2.70000+ 1 4.30000+ 1 2.70176- 5 5.88916- 3 2.70000+ 1 4.40000+ 1 3.52156- 5 5.90180- 3 2.70000+ 1 4.60000+ 1 1.20973- 6 5.92415- 3 2.70000+ 1 4.70000+ 1 1.47854- 6 5.92487- 3 2.70000+ 1 5.80000+ 1 3.22597- 6 5.92262- 3 2.90000+ 1 2.90000+ 1 4.30122- 6 5.68350- 3 2.90000+ 1 3.00000+ 1 1.69369- 5 5.75865- 3 2.90000+ 1 3.20000+ 1 5.78006- 6 5.86184- 3 2.90000+ 1 3.30000+ 1 4.57013- 6 5.87307- 3 2.90000+ 1 3.50000+ 1 1.34414- 7 5.98482- 3 2.90000+ 1 3.60000+ 1 3.76360- 6 5.98635- 3 2.90000+ 1 4.10000+ 1 2.86305- 5 5.93761- 3 2.90000+ 1 4.30000+ 1 1.34414- 6 5.95866- 3 2.90000+ 1 4.40000+ 1 2.41947- 6 5.97130- 3 2.90000+ 1 5.80000+ 1 2.68828- 6 5.99212- 3 3.00000+ 1 3.00000+ 1 1.69374- 5 5.83380- 3 3.00000+ 1 3.20000+ 1 2.58083- 5 5.93699- 3 3.00000+ 1 3.30000+ 1 5.34994- 5 5.94822- 3 3.00000+ 1 3.50000+ 1 6.85512- 6 6.05997- 3 3.00000+ 1 3.60000+ 1 8.60292- 6 6.06150- 3 3.00000+ 1 4.10000+ 1 4.22083- 5 6.01276- 3 3.00000+ 1 4.30000+ 1 2.82277- 6 6.03381- 3 3.00000+ 1 4.40000+ 1 4.97350- 6 6.04645- 3 3.00000+ 1 4.60000+ 1 1.34418- 7 6.06880- 3 3.00000+ 1 4.70000+ 1 2.68837- 7 6.06952- 3 3.00000+ 1 5.80000+ 1 3.89815- 6 6.06727- 3 3.20000+ 1 3.20000+ 1 2.28497- 6 6.04018- 3 3.20000+ 1 3.30000+ 1 5.24207- 6 6.05141- 3 3.20000+ 1 3.50000+ 1 3.76361- 6 6.16316- 3 3.20000+ 1 3.60000+ 1 1.86837- 5 6.16469- 3 3.20000+ 1 4.10000+ 1 4.14005- 5 6.11595- 3 3.20000+ 1 4.30000+ 1 9.40880- 7 6.13700- 3 3.20000+ 1 4.40000+ 1 3.62921- 6 6.14964- 3 3.20000+ 1 5.80000+ 1 3.76361- 6 6.17046- 3 3.30000+ 1 3.30000+ 1 5.51061- 6 6.06264- 3 3.30000+ 1 3.50000+ 1 1.65317- 5 6.17439- 3 3.30000+ 1 3.60000+ 1 1.10218- 5 6.17592- 3 3.30000+ 1 4.10000+ 1 5.57786- 5 6.12718- 3 3.30000+ 1 4.30000+ 1 6.72042- 7 6.14823- 3 3.30000+ 1 4.40000+ 1 7.52702- 6 6.16087- 3 3.30000+ 1 5.80000+ 1 5.10762- 6 6.18169- 3 3.50000+ 1 3.50000+ 1 1.14796- 6 6.28614- 3 3.50000+ 1 3.60000+ 1 6.60012- 6 6.28767- 3 3.50000+ 1 4.10000+ 1 7.60463- 6 6.23893- 3 3.50000+ 1 4.40000+ 1 1.00434- 6 6.27262- 3 3.50000+ 1 4.70000+ 1 1.43480- 7 6.29569- 3 3.50000+ 1 5.80000+ 1 7.17390- 7 6.29344- 3 3.60000+ 1 3.60000+ 1 2.23935- 6 6.28920- 3 3.60000+ 1 4.10000+ 1 8.67751- 6 6.24046- 3 3.60000+ 1 4.30000+ 1 6.99774- 7 6.26151- 3 3.60000+ 1 4.40000+ 1 1.25962- 6 6.27415- 3 3.60000+ 1 4.60000+ 1 1.39957- 7 6.29650- 3 3.60000+ 1 5.80000+ 1 8.39720- 7 6.29497- 3 4.10000+ 1 4.10000+ 1 3.36039- 6 6.19172- 3 4.10000+ 1 4.30000+ 1 4.97334- 6 6.21277- 3 4.10000+ 1 4.40000+ 1 6.31747- 6 6.22541- 3 4.10000+ 1 4.60000+ 1 2.68828- 7 6.24776- 3 4.10000+ 1 4.70000+ 1 2.68828- 7 6.24848- 3 4.10000+ 1 5.80000+ 1 6.72060- 7 6.24623- 3 4.30000+ 1 4.30000+ 1 1.34412- 7 6.23382- 3 4.30000+ 1 4.40000+ 1 4.03237- 7 6.24646- 3 4.30000+ 1 5.80000+ 1 4.03237- 7 6.26728- 3 4.40000+ 1 4.40000+ 1 3.18808- 7 6.25910- 3 4.40000+ 1 5.80000+ 1 4.25068- 7 6.27992- 3 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.43011- 3 1.70840- 3 1.60000+ 1 1.15551- 3 4.28150- 3 2.10000+ 1 5.38612- 3 5.02596- 3 2.70000+ 1 3.12971- 4 5.56130- 3 3.20000+ 1 1.39881- 3 5.80914- 3 4.10000+ 1 6.38173- 5 5.88491- 3 5.80000+ 1 5.72363- 6 5.93942- 3 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.11536- 2 1.96960- 4 1.10000+ 1 2.20000+ 1 1.98962- 2 2.51160- 4 1.10000+ 1 2.40000+ 1 2.84371- 2 6.14350- 4 1.10000+ 1 2.50000+ 1 2.25684- 2 6.29130- 4 1.10000+ 1 2.70000+ 1 3.14643- 3 7.32300- 4 1.10000+ 1 2.90000+ 1 4.75600- 3 8.01800- 4 1.10000+ 1 3.00000+ 1 1.69049- 3 8.76950- 4 1.10000+ 1 3.20000+ 1 2.14353- 3 9.80140- 4 1.10000+ 1 3.30000+ 1 3.58432- 3 9.91370- 4 1.10000+ 1 3.50000+ 1 1.15748- 3 1.10312- 3 1.10000+ 1 3.60000+ 1 9.13375- 4 1.10465- 3 1.10000+ 1 4.10000+ 1 5.93345- 4 1.05591- 3 1.10000+ 1 4.30000+ 1 7.24627- 4 1.07696- 3 1.10000+ 1 4.40000+ 1 2.42921- 4 1.08960- 3 1.10000+ 1 4.60000+ 1 1.13949- 5 1.11195- 3 1.10000+ 1 4.70000+ 1 1.61827- 5 1.11267- 3 1.10000+ 1 5.80000+ 1 5.51572- 5 1.11042- 3 1.30000+ 1 1.60000+ 1 4.79678- 2 4.43000- 5 1.30000+ 1 1.80000+ 1 5.05216- 2 2.15200- 4 1.30000+ 1 1.90000+ 1 2.95799- 2 5.14000- 4 1.30000+ 1 2.10000+ 1 1.65477- 2 7.88760- 4 1.30000+ 1 2.20000+ 1 2.89589- 2 8.42960- 4 1.30000+ 1 2.40000+ 1 1.52803- 1 1.20615- 3 1.30000+ 1 2.50000+ 1 2.41173- 1 1.22093- 3 1.30000+ 1 2.70000+ 1 1.23592- 2 1.32410- 3 1.30000+ 1 2.90000+ 1 1.03080- 2 1.39360- 3 1.30000+ 1 3.00000+ 1 7.02404- 3 1.46875- 3 1.30000+ 1 3.20000+ 1 3.59758- 3 1.57194- 3 1.30000+ 1 3.30000+ 1 6.06868- 3 1.58317- 3 1.30000+ 1 3.50000+ 1 5.69715- 3 1.69492- 3 1.30000+ 1 3.60000+ 1 9.16202- 3 1.69645- 3 1.30000+ 1 4.10000+ 1 2.45707- 3 1.64771- 3 1.30000+ 1 4.30000+ 1 1.69263- 3 1.66876- 3 1.30000+ 1 4.40000+ 1 1.04699- 3 1.68140- 3 1.30000+ 1 4.60000+ 1 1.94867- 5 1.70375- 3 1.30000+ 1 4.70000+ 1 2.79073- 5 1.70447- 3 1.30000+ 1 5.80000+ 1 2.29701- 4 1.70222- 3 1.40000+ 1 1.60000+ 1 7.19885- 3 2.65900- 4 1.40000+ 1 1.80000+ 1 5.72703- 2 4.36800- 4 1.40000+ 1 1.90000+ 1 4.44367- 3 7.35600- 4 1.40000+ 1 2.10000+ 1 2.35496- 3 1.01036- 3 1.40000+ 1 2.20000+ 1 2.80687- 3 1.06456- 3 1.40000+ 1 2.40000+ 1 8.75681- 3 1.42775- 3 1.40000+ 1 2.50000+ 1 5.03158- 3 1.44253- 3 1.40000+ 1 2.70000+ 1 1.23263- 3 1.54570- 3 1.40000+ 1 2.90000+ 1 8.79259- 3 1.61520- 3 1.40000+ 1 3.00000+ 1 8.86595- 4 1.69035- 3 1.40000+ 1 3.20000+ 1 1.99660- 4 1.79354- 3 1.40000+ 1 3.30000+ 1 5.07796- 4 1.80477- 3 1.40000+ 1 3.50000+ 1 4.70965- 4 1.91652- 3 1.40000+ 1 3.60000+ 1 2.15344- 4 1.91805- 3 1.40000+ 1 4.10000+ 1 2.26069- 4 1.86931- 3 1.40000+ 1 4.30000+ 1 1.35332- 3 1.89036- 3 1.40000+ 1 4.40000+ 1 1.28308- 4 1.90300- 3 1.40000+ 1 4.60000+ 1 9.90868- 7 1.92535- 3 1.40000+ 1 4.70000+ 1 2.31199- 6 1.92607- 3 1.40000+ 1 5.80000+ 1 2.08075- 5 1.92382- 3 1.60000+ 1 1.60000+ 1 4.15525- 4 2.61740- 3 1.60000+ 1 1.80000+ 1 6.72652- 3 2.78830- 3 1.60000+ 1 1.90000+ 1 7.77227- 4 3.08710- 3 1.60000+ 1 2.10000+ 1 2.95052- 4 3.36186- 3 1.60000+ 1 2.20000+ 1 7.48448- 4 3.41606- 3 1.60000+ 1 2.40000+ 1 7.22882- 5 3.77925- 3 1.60000+ 1 2.50000+ 1 5.38959- 4 3.79403- 3 1.60000+ 1 2.70000+ 1 1.64728- 4 3.89720- 3 1.60000+ 1 2.90000+ 1 1.02559- 3 3.96670- 3 1.60000+ 1 3.00000+ 1 1.71620- 4 4.04185- 3 1.60000+ 1 3.20000+ 1 3.88494- 5 4.14504- 3 1.60000+ 1 3.30000+ 1 1.33507- 4 4.15627- 3 1.60000+ 1 3.50000+ 1 2.70474- 6 4.26802- 3 1.60000+ 1 3.60000+ 1 1.79498- 5 4.26955- 3 1.60000+ 1 4.10000+ 1 3.14727- 5 4.22081- 3 1.60000+ 1 4.30000+ 1 1.58597- 4 4.24186- 3 1.60000+ 1 4.40000+ 1 2.53250- 5 4.25450- 3 1.60000+ 1 4.60000+ 1 2.45879- 7 4.27685- 3 1.60000+ 1 4.70000+ 1 4.91745- 7 4.27757- 3 1.60000+ 1 5.80000+ 1 2.95052- 6 4.27532- 3 1.80000+ 1 1.80000+ 1 5.30534- 3 2.95920- 3 1.80000+ 1 1.90000+ 1 1.37594- 2 3.25800- 3 1.80000+ 1 2.10000+ 1 1.40901- 2 3.53276- 3 1.80000+ 1 2.20000+ 1 2.17735- 2 3.58696- 3 1.80000+ 1 2.40000+ 1 8.88588- 3 3.95015- 3 1.80000+ 1 2.50000+ 1 1.42531- 2 3.96493- 3 1.80000+ 1 2.70000+ 1 1.76933- 3 4.06810- 3 1.80000+ 1 2.90000+ 1 2.17328- 3 4.13760- 3 1.80000+ 1 3.00000+ 1 3.35602- 3 4.21275- 3 1.80000+ 1 3.20000+ 1 2.87852- 3 4.31594- 3 1.80000+ 1 3.30000+ 1 4.33386- 3 4.32717- 3 1.80000+ 1 3.50000+ 1 4.58078- 4 4.43892- 3 1.80000+ 1 3.60000+ 1 7.03718- 4 4.44045- 3 1.80000+ 1 4.10000+ 1 3.57025- 4 4.39171- 3 1.80000+ 1 4.30000+ 1 3.59957- 4 4.41276- 3 1.80000+ 1 4.40000+ 1 5.04545- 4 4.42540- 3 1.80000+ 1 4.60000+ 1 1.54905- 5 4.44775- 3 1.80000+ 1 4.70000+ 1 1.99160- 5 4.44847- 3 1.80000+ 1 5.80000+ 1 3.34404- 5 4.44622- 3 1.90000+ 1 1.90000+ 1 3.27260- 4 3.55680- 3 1.90000+ 1 2.10000+ 1 7.35435- 4 3.83156- 3 1.90000+ 1 2.20000+ 1 7.16266- 4 3.88576- 3 1.90000+ 1 2.40000+ 1 5.53327- 3 4.24895- 3 1.90000+ 1 2.50000+ 1 1.55273- 3 4.26373- 3 1.90000+ 1 2.70000+ 1 1.28595- 4 4.36690- 3 1.90000+ 1 2.90000+ 1 2.13523- 3 4.43640- 3 1.90000+ 1 3.00000+ 1 1.34738- 4 4.51155- 3 1.90000+ 1 3.20000+ 1 1.15319- 4 4.61474- 3 1.90000+ 1 3.30000+ 1 1.29824- 4 4.62597- 3 1.90000+ 1 3.50000+ 1 2.34326- 4 4.73772- 3 1.90000+ 1 3.60000+ 1 6.66346- 5 4.73925- 3 1.90000+ 1 4.10000+ 1 2.36046- 5 4.69051- 3 1.90000+ 1 4.30000+ 1 3.30954- 4 4.71156- 3 1.90000+ 1 4.40000+ 1 1.96709- 5 4.72420- 3 1.90000+ 1 4.60000+ 1 4.91751- 7 4.74655- 3 1.90000+ 1 4.70000+ 1 4.91751- 7 4.74727- 3 1.90000+ 1 5.80000+ 1 2.21289- 6 4.74502- 3 2.10000+ 1 2.10000+ 1 5.55675- 4 4.10632- 3 2.10000+ 1 2.20000+ 1 9.30910- 4 4.16052- 3 2.10000+ 1 2.40000+ 1 5.73152- 4 4.52371- 3 2.10000+ 1 2.50000+ 1 6.85268- 4 4.53849- 3 2.10000+ 1 2.70000+ 1 7.54850- 5 4.64166- 3 2.10000+ 1 2.90000+ 1 2.11308- 3 4.71116- 3 2.10000+ 1 3.00000+ 1 1.69661- 4 4.78631- 3 2.10000+ 1 3.20000+ 1 1.82683- 4 4.88950- 3 2.10000+ 1 3.30000+ 1 1.69167- 4 4.90073- 3 2.10000+ 1 3.50000+ 1 1.45054- 5 5.01248- 3 2.10000+ 1 3.60000+ 1 2.33589- 5 5.01401- 3 2.10000+ 1 4.10000+ 1 1.52453- 5 4.96527- 3 2.10000+ 1 4.30000+ 1 3.25058- 4 4.98632- 3 2.10000+ 1 4.40000+ 1 2.50800- 5 4.99896- 3 2.10000+ 1 4.60000+ 1 9.83493- 7 5.02131- 3 2.10000+ 1 4.70000+ 1 7.37640- 7 5.02203- 3 2.10000+ 1 5.80000+ 1 1.47534- 6 5.01978- 3 2.20000+ 1 2.20000+ 1 2.58424- 4 4.21472- 3 2.20000+ 1 2.40000+ 1 1.03763- 3 4.57791- 3 2.20000+ 1 2.50000+ 1 2.86695- 4 4.59269- 3 2.20000+ 1 2.70000+ 1 1.53186- 4 4.69586- 3 2.20000+ 1 2.90000+ 1 3.29696- 3 4.76536- 3 2.20000+ 1 3.00000+ 1 1.32533- 4 4.84051- 3 2.20000+ 1 3.20000+ 1 1.34494- 4 4.94370- 3 2.20000+ 1 3.30000+ 1 8.67955- 5 4.95493- 3 2.20000+ 1 3.50000+ 1 2.13917- 5 5.06668- 3 2.20000+ 1 3.60000+ 1 8.60569- 6 5.06821- 3 2.20000+ 1 4.10000+ 1 2.92602- 5 5.01947- 3 2.20000+ 1 4.30000+ 1 5.07983- 4 5.04052- 3 2.20000+ 1 4.40000+ 1 1.89322- 5 5.05316- 3 2.20000+ 1 4.60000+ 1 7.37641- 7 5.07551- 3 2.20000+ 1 4.70000+ 1 4.91747- 7 5.07623- 3 2.20000+ 1 5.80000+ 1 2.70475- 6 5.07398- 3 2.40000+ 1 2.40000+ 1 2.31984- 3 4.94110- 3 2.40000+ 1 2.50000+ 1 1.47477- 2 4.95588- 3 2.40000+ 1 2.70000+ 1 1.30318- 5 5.05905- 3 2.40000+ 1 2.90000+ 1 1.22648- 3 5.12855- 3 2.40000+ 1 3.00000+ 1 1.26723- 3 5.20370- 3 2.40000+ 1 3.20000+ 1 1.19746- 4 5.30689- 3 2.40000+ 1 3.30000+ 1 2.62117- 4 5.31812- 3 2.40000+ 1 3.50000+ 1 1.95720- 4 5.42987- 3 2.40000+ 1 3.60000+ 1 5.93306- 4 5.43140- 3 2.40000+ 1 4.10000+ 1 2.45879- 6 5.38266- 3 2.40000+ 1 4.30000+ 1 1.87109- 4 5.40371- 3 2.40000+ 1 4.40000+ 1 1.88096- 4 5.41635- 3 2.40000+ 1 4.60000+ 1 7.37639- 7 5.43870- 3 2.40000+ 1 4.70000+ 1 1.22936- 6 5.43942- 3 2.40000+ 1 5.80000+ 1 2.45879- 7 5.43717- 3 2.50000+ 1 2.50000+ 1 7.65900- 4 4.97066- 3 2.50000+ 1 2.70000+ 1 1.14332- 4 5.07383- 3 2.50000+ 1 2.90000+ 1 1.90136- 3 5.14333- 3 2.50000+ 1 3.00000+ 1 3.12749- 4 5.21848- 3 2.50000+ 1 3.20000+ 1 1.42852- 4 5.32167- 3 2.50000+ 1 3.30000+ 1 6.07306- 5 5.33290- 3 2.50000+ 1 3.50000+ 1 5.98455- 4 5.44465- 3 2.50000+ 1 3.60000+ 1 6.24528- 5 5.44618- 3 2.50000+ 1 4.10000+ 1 2.18831- 5 5.39744- 3 2.50000+ 1 4.30000+ 1 2.85465- 4 5.41849- 3 2.50000+ 1 4.40000+ 1 4.54870- 5 5.43113- 3 2.50000+ 1 4.60000+ 1 7.37628- 7 5.45348- 3 2.50000+ 1 4.70000+ 1 2.45876- 7 5.45420- 3 2.50000+ 1 5.80000+ 1 1.96704- 6 5.45195- 3 2.70000+ 1 2.70000+ 1 1.62273- 5 5.17700- 3 2.70000+ 1 2.90000+ 1 2.71696- 4 5.24650- 3 2.70000+ 1 3.00000+ 1 2.82759- 5 5.32165- 3 2.70000+ 1 3.20000+ 1 9.34321- 6 5.42484- 3 2.70000+ 1 3.30000+ 1 2.77841- 5 5.43607- 3 2.70000+ 1 3.50000+ 1 4.91739- 7 5.54782- 3 2.70000+ 1 3.60000+ 1 3.93394- 6 5.54935- 3 2.70000+ 1 4.10000+ 1 6.14691- 6 5.50061- 3 2.70000+ 1 4.30000+ 1 4.20453- 5 5.52166- 3 2.70000+ 1 4.40000+ 1 4.17988- 6 5.53430- 3 2.70000+ 1 4.70000+ 1 2.45876- 7 5.55737- 3 2.70000+ 1 5.80000+ 1 4.91739- 7 5.55512- 3 2.90000+ 1 2.90000+ 1 2.07294- 4 5.31600- 3 2.90000+ 1 3.00000+ 1 5.24957- 4 5.39115- 3 2.90000+ 1 3.20000+ 1 4.34727- 4 5.49434- 3 2.90000+ 1 3.30000+ 1 6.61428- 4 5.50557- 3 2.90000+ 1 3.50000+ 1 6.29449- 5 5.61732- 3 2.90000+ 1 3.60000+ 1 9.49086- 5 5.61885- 3 2.90000+ 1 4.10000+ 1 5.48325- 5 5.57011- 3 2.90000+ 1 4.30000+ 1 6.76171- 5 5.59116- 3 2.90000+ 1 4.40000+ 1 7.91729- 5 5.60380- 3 2.90000+ 1 4.60000+ 1 2.21290- 6 5.62615- 3 2.90000+ 1 4.70000+ 1 2.95056- 6 5.62687- 3 2.90000+ 1 5.80000+ 1 5.16346- 6 5.62462- 3 3.00000+ 1 3.00000+ 1 1.37691- 5 5.46630- 3 3.00000+ 1 3.20000+ 1 2.68018- 5 5.56949- 3 3.00000+ 1 3.30000+ 1 2.40944- 5 5.58072- 3 3.00000+ 1 3.50000+ 1 5.38477- 5 5.69247- 3 3.00000+ 1 3.60000+ 1 1.32776- 5 5.69400- 3 3.00000+ 1 4.10000+ 1 5.16336- 6 5.64526- 3 3.00000+ 1 4.30000+ 1 8.13853- 5 5.66631- 3 3.00000+ 1 4.40000+ 1 3.93397- 6 5.67895- 3 3.00000+ 1 4.60000+ 1 2.45877- 7 5.70130- 3 3.00000+ 1 5.80000+ 1 4.91742- 7 5.69977- 3 3.20000+ 1 3.20000+ 1 1.37721- 5 5.67268- 3 3.20000+ 1 3.30000+ 1 2.56469- 5 5.68391- 3 3.20000+ 1 3.50000+ 1 3.32463- 6 5.79566- 3 3.20000+ 1 3.60000+ 1 5.46179- 6 5.79719- 3 3.20000+ 1 4.10000+ 1 1.89977- 6 5.74845- 3 3.20000+ 1 4.30000+ 1 6.45910- 5 5.76950- 3 3.20000+ 1 4.40000+ 1 3.79940- 6 5.78214- 3 3.20000+ 1 4.60000+ 1 2.37467- 7 5.80449- 3 3.20000+ 1 5.80000+ 1 2.37467- 7 5.80296- 3 3.30000+ 1 3.30000+ 1 7.29771- 6 5.69514- 3 3.30000+ 1 3.50000+ 1 6.35612- 6 5.80689- 3 3.30000+ 1 3.60000+ 1 1.88333- 6 5.80842- 3 3.30000+ 1 4.10000+ 1 5.17905- 6 5.75968- 3 3.30000+ 1 4.30000+ 1 9.76922- 5 5.78073- 3 3.30000+ 1 4.40000+ 1 3.29586- 6 5.79337- 3 3.30000+ 1 4.60000+ 1 2.35412- 7 5.81572- 3 3.30000+ 1 5.80000+ 1 4.70812- 7 5.81419- 3 3.50000+ 1 3.50000+ 1 3.77026- 6 5.91864- 3 3.50000+ 1 3.60000+ 1 2.71998- 5 5.92017- 3 3.50000+ 1 4.30000+ 1 1.05024- 5 5.89248- 3 3.50000+ 1 4.40000+ 1 8.88673- 6 5.90512- 3 3.60000+ 1 3.60000+ 1 9.86443- 7 5.92170- 3 3.60000+ 1 4.10000+ 1 7.39852- 7 5.87296- 3 3.60000+ 1 4.30000+ 1 1.43028- 5 5.89401- 3 3.60000+ 1 4.40000+ 1 1.97297- 6 5.90665- 3 4.10000+ 1 4.10000+ 1 4.67300- 7 5.82422- 3 4.10000+ 1 4.30000+ 1 8.17787- 6 5.84527- 3 4.10000+ 1 4.40000+ 1 7.00970- 7 5.85791- 3 4.30000+ 1 4.30000+ 1 5.14219- 6 5.86632- 3 4.30000+ 1 4.40000+ 1 1.16865- 5 5.87896- 3 4.30000+ 1 4.60000+ 1 2.33736- 7 5.90131- 3 4.30000+ 1 4.70000+ 1 4.67460- 7 5.90203- 3 4.30000+ 1 5.80000+ 1 7.01210- 7 5.89978- 3 4.40000+ 1 4.40000+ 1 2.45881- 7 5.89160- 3 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.35470- 5 5.91800- 4 1.40000+ 1 3.42879- 4 8.13400- 4 1.60000+ 1 2.54480- 3 3.16490- 3 2.10000+ 1 1.16250- 3 3.90936- 3 2.20000+ 1 8.61449- 3 3.96356- 3 2.70000+ 1 6.50949- 4 4.44470- 3 3.20000+ 1 2.62800- 4 4.69254- 3 3.30000+ 1 1.99380- 3 4.70377- 3 4.10000+ 1 1.29180- 4 4.76831- 3 5.80000+ 1 1.19900- 5 4.82282- 3 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 1.54046- 2 8.95500- 5 1.30000+ 1 2.50000+ 1 2.33790- 2 1.04330- 4 1.30000+ 1 2.70000+ 1 4.09966- 3 2.07500- 4 1.30000+ 1 2.90000+ 1 4.07981- 3 2.77000- 4 1.30000+ 1 3.00000+ 1 1.13304- 2 3.52150- 4 1.30000+ 1 3.20000+ 1 2.26178- 3 4.55340- 4 1.30000+ 1 3.30000+ 1 2.56790- 3 4.66570- 4 1.30000+ 1 3.50000+ 1 5.02973- 4 5.78320- 4 1.30000+ 1 3.60000+ 1 8.51003- 4 5.79850- 4 1.30000+ 1 4.10000+ 1 7.84685- 4 5.31110- 4 1.30000+ 1 4.30000+ 1 6.62703- 4 5.52160- 4 1.30000+ 1 4.40000+ 1 1.59486- 3 5.64800- 4 1.30000+ 1 4.60000+ 1 1.17835- 5 5.87150- 4 1.30000+ 1 4.70000+ 1 1.15654- 5 5.87870- 4 1.30000+ 1 5.80000+ 1 7.22271- 5 5.85620- 4 1.40000+ 1 2.40000+ 1 2.35991- 1 3.11150- 4 1.40000+ 1 2.50000+ 1 2.84279- 1 3.25930- 4 1.40000+ 1 2.70000+ 1 2.50857- 2 4.29100- 4 1.40000+ 1 2.90000+ 1 2.71762- 2 4.98600- 4 1.40000+ 1 3.00000+ 1 2.67147- 2 5.73750- 4 1.40000+ 1 3.20000+ 1 9.06499- 3 6.76940- 4 1.40000+ 1 3.30000+ 1 1.34333- 2 6.88170- 4 1.40000+ 1 3.50000+ 1 6.94942- 3 7.99920- 4 1.40000+ 1 3.60000+ 1 7.80433- 3 8.01450- 4 1.40000+ 1 4.10000+ 1 4.92278- 3 7.52710- 4 1.40000+ 1 4.30000+ 1 4.45723- 3 7.73760- 4 1.40000+ 1 4.40000+ 1 3.86276- 3 7.86400- 4 1.40000+ 1 4.60000+ 1 4.73517- 5 8.08750- 4 1.40000+ 1 4.70000+ 1 6.08805- 5 8.09470- 4 1.40000+ 1 5.80000+ 1 4.59559- 4 8.07220- 4 1.60000+ 1 1.60000+ 1 4.81704- 5 1.50080- 3 1.60000+ 1 1.80000+ 1 3.10396- 4 1.67170- 3 1.60000+ 1 1.90000+ 1 8.95845- 3 1.97050- 3 1.60000+ 1 2.10000+ 1 6.02838- 4 2.24526- 3 1.60000+ 1 2.20000+ 1 8.20604- 4 2.29946- 3 1.60000+ 1 2.40000+ 1 2.66337- 3 2.66265- 3 1.60000+ 1 2.50000+ 1 4.84126- 3 2.67743- 3 1.60000+ 1 2.70000+ 1 2.47969- 5 2.78060- 3 1.60000+ 1 2.90000+ 1 3.76245- 5 2.85010- 3 1.60000+ 1 3.00000+ 1 1.34684- 3 2.92525- 3 1.60000+ 1 3.20000+ 1 1.01471- 4 3.02844- 3 1.60000+ 1 3.30000+ 1 1.35393- 4 3.03967- 3 1.60000+ 1 3.50000+ 1 9.66257- 5 3.15142- 3 1.60000+ 1 3.60000+ 1 1.68448- 4 3.15295- 3 1.60000+ 1 4.10000+ 1 4.84554- 6 3.10421- 3 1.60000+ 1 4.30000+ 1 5.41550- 6 3.12526- 3 1.60000+ 1 4.40000+ 1 1.84712- 4 3.13790- 3 1.60000+ 1 4.60000+ 1 5.70055- 7 3.16025- 3 1.60000+ 1 4.70000+ 1 5.70055- 7 3.16097- 3 1.60000+ 1 5.80000+ 1 5.70055- 7 3.15872- 3 1.80000+ 1 1.80000+ 1 3.42044- 6 1.84260- 3 1.80000+ 1 1.90000+ 1 1.14894- 2 2.14140- 3 1.80000+ 1 2.10000+ 1 2.83894- 4 2.41616- 3 1.80000+ 1 2.20000+ 1 2.75604- 3 2.47036- 3 1.80000+ 1 2.40000+ 1 1.51589- 3 2.83355- 3 1.80000+ 1 2.50000+ 1 7.20676- 3 2.84833- 3 1.80000+ 1 2.70000+ 1 7.18303- 5 2.95150- 3 1.80000+ 1 2.90000+ 1 4.56066- 6 3.02100- 3 1.80000+ 1 3.00000+ 1 1.78238- 3 3.09615- 3 1.80000+ 1 3.20000+ 1 5.78638- 5 3.19934- 3 1.80000+ 1 3.30000+ 1 4.41819- 4 3.21057- 3 1.80000+ 1 3.50000+ 1 4.84574- 5 3.32232- 3 1.80000+ 1 3.60000+ 1 2.39994- 4 3.32385- 3 1.80000+ 1 4.10000+ 1 1.36816- 5 3.27511- 3 1.80000+ 1 4.30000+ 1 8.55122- 7 3.29616- 3 1.80000+ 1 4.40000+ 1 2.45704- 4 3.30880- 3 1.80000+ 1 4.60000+ 1 2.85044- 7 3.33115- 3 1.80000+ 1 4.70000+ 1 1.99528- 6 3.33187- 3 1.80000+ 1 5.80000+ 1 1.14014- 6 3.32962- 3 1.90000+ 1 1.90000+ 1 1.41648- 2 2.44020- 3 1.90000+ 1 2.10000+ 1 2.13017- 2 2.71496- 3 1.90000+ 1 2.20000+ 1 2.74224- 2 2.76916- 3 1.90000+ 1 2.40000+ 1 2.05716- 2 3.13235- 3 1.90000+ 1 2.50000+ 1 2.34003- 2 3.14713- 3 1.90000+ 1 2.70000+ 1 2.32878- 3 3.25030- 3 1.90000+ 1 2.90000+ 1 2.78480- 3 3.31980- 3 1.90000+ 1 3.00000+ 1 5.60627- 3 3.39495- 3 1.90000+ 1 3.20000+ 1 4.16898- 3 3.49814- 3 1.90000+ 1 3.30000+ 1 5.36940- 3 3.50937- 3 1.90000+ 1 3.50000+ 1 9.82540- 4 3.62112- 3 1.90000+ 1 3.60000+ 1 1.08233- 3 3.62265- 3 1.90000+ 1 4.10000+ 1 4.68040- 4 3.57391- 3 1.90000+ 1 4.30000+ 1 4.72039- 4 3.59496- 3 1.90000+ 1 4.40000+ 1 8.15235- 4 3.60760- 3 1.90000+ 1 4.60000+ 1 2.22336- 5 3.62995- 3 1.90000+ 1 4.70000+ 1 2.45143- 5 3.63067- 3 1.90000+ 1 5.80000+ 1 4.38960- 5 3.62842- 3 2.10000+ 1 2.10000+ 1 1.53627- 4 2.98972- 3 2.10000+ 1 2.20000+ 1 3.63507- 3 3.04392- 3 2.10000+ 1 2.40000+ 1 6.07688- 4 3.40711- 3 2.10000+ 1 2.50000+ 1 6.80411- 3 3.42189- 3 2.10000+ 1 2.70000+ 1 7.66745- 5 3.52506- 3 2.10000+ 1 2.90000+ 1 1.28265- 5 3.59456- 3 2.10000+ 1 3.00000+ 1 3.21062- 3 3.66971- 3 2.10000+ 1 3.20000+ 1 4.90257- 5 3.77290- 3 2.10000+ 1 3.30000+ 1 6.15673- 4 3.78413- 3 2.10000+ 1 3.50000+ 1 2.33726- 5 3.89588- 3 2.10000+ 1 3.60000+ 1 1.88112- 4 3.89741- 3 2.10000+ 1 4.10000+ 1 1.33963- 5 3.84867- 3 2.10000+ 1 4.30000+ 1 1.71018- 6 3.86972- 3 2.10000+ 1 4.40000+ 1 4.39801- 4 3.88236- 3 2.10000+ 1 4.60000+ 1 2.85036- 7 3.90471- 3 2.10000+ 1 4.70000+ 1 2.85036- 6 3.90543- 3 2.10000+ 1 5.80000+ 1 1.14010- 6 3.90318- 3 2.20000+ 1 2.20000+ 1 1.53546- 3 3.09812- 3 2.20000+ 1 2.40000+ 1 5.30776- 3 3.46131- 3 2.20000+ 1 2.50000+ 1 4.30387- 3 3.47609- 3 2.20000+ 1 2.70000+ 1 1.16015- 4 3.57926- 3 2.20000+ 1 2.90000+ 1 2.70518- 4 3.64876- 3 2.20000+ 1 3.00000+ 1 4.07556- 3 3.72391- 3 2.20000+ 1 3.20000+ 1 6.02865- 4 3.82710- 3 2.20000+ 1 3.30000+ 1 5.25041- 4 3.83833- 3 2.20000+ 1 3.50000+ 1 1.93268- 4 3.95008- 3 2.20000+ 1 3.60000+ 1 1.48802- 4 3.95161- 3 2.20000+ 1 4.10000+ 1 2.05240- 5 3.90287- 3 2.20000+ 1 4.30000+ 1 3.81960- 5 3.92392- 3 2.20000+ 1 4.40000+ 1 5.56688- 4 3.93656- 3 2.20000+ 1 4.60000+ 1 3.13552- 6 3.95891- 3 2.20000+ 1 4.70000+ 1 2.28047- 6 3.95963- 3 2.20000+ 1 5.80000+ 1 1.99529- 6 3.95738- 3 2.40000+ 1 2.40000+ 1 9.44915- 4 3.82450- 3 2.40000+ 1 2.50000+ 1 2.42891- 2 3.83928- 3 2.40000+ 1 2.70000+ 1 2.91879- 4 3.94245- 3 2.40000+ 1 2.90000+ 1 2.91879- 4 4.01195- 3 2.40000+ 1 3.00000+ 1 2.93959- 3 4.08710- 3 2.40000+ 1 3.20000+ 1 1.38248- 4 4.19029- 3 2.40000+ 1 3.30000+ 1 9.70853- 4 4.20152- 3 2.40000+ 1 3.50000+ 1 7.81011- 5 4.31327- 3 2.40000+ 1 3.60000+ 1 8.85911- 4 4.31480- 3 2.40000+ 1 4.10000+ 1 5.01667- 5 4.26606- 3 2.40000+ 1 4.30000+ 1 4.70322- 5 4.28711- 3 2.40000+ 1 4.40000+ 1 3.99615- 4 4.29975- 3 2.40000+ 1 4.60000+ 1 8.55118- 7 4.32210- 3 2.40000+ 1 4.70000+ 1 4.27571- 6 4.32282- 3 2.40000+ 1 5.80000+ 1 4.56064- 6 4.32057- 3 2.50000+ 1 2.50000+ 1 9.67168- 3 3.85406- 3 2.50000+ 1 2.70000+ 1 5.19629- 4 3.95723- 3 2.50000+ 1 2.90000+ 1 1.35618- 3 4.02673- 3 2.50000+ 1 3.00000+ 1 3.50883- 3 4.10188- 3 2.50000+ 1 3.20000+ 1 1.31239- 3 4.20507- 3 2.50000+ 1 3.30000+ 1 8.62537- 4 4.21630- 3 2.50000+ 1 3.50000+ 1 8.86201- 4 4.32805- 3 2.50000+ 1 3.60000+ 1 7.17160- 4 4.32958- 3 2.50000+ 1 4.10000+ 1 8.77922- 5 4.28084- 3 2.50000+ 1 4.30000+ 1 2.19485- 4 4.30189- 3 2.50000+ 1 4.40000+ 1 4.84276- 4 4.31453- 3 2.50000+ 1 4.60000+ 1 6.84106- 6 4.33688- 3 2.50000+ 1 4.70000+ 1 3.99064- 6 4.33760- 3 2.50000+ 1 5.80000+ 1 7.98116- 6 4.33535- 3 2.70000+ 1 2.70000+ 1 3.13538- 6 4.06040- 3 2.70000+ 1 2.90000+ 1 9.69105- 6 4.12990- 3 2.70000+ 1 3.00000+ 1 3.52009- 4 4.20505- 3 2.70000+ 1 3.20000+ 1 1.42522- 5 4.30824- 3 2.70000+ 1 3.30000+ 1 2.05231- 5 4.31947- 3 2.70000+ 1 3.50000+ 1 1.02611- 5 4.43122- 3 2.70000+ 1 3.60000+ 1 1.79564- 5 4.43275- 3 2.70000+ 1 4.10000+ 1 1.42522- 6 4.38401- 3 2.70000+ 1 4.30000+ 1 1.42522- 6 4.40506- 3 2.70000+ 1 4.40000+ 1 4.81704- 5 4.41770- 3 2.90000+ 1 2.90000+ 1 2.85037- 7 4.19940- 3 2.90000+ 1 3.00000+ 1 4.34398- 4 4.27455- 3 2.90000+ 1 3.20000+ 1 2.28040- 6 4.37774- 3 2.90000+ 1 3.30000+ 1 4.64602- 5 4.38897- 3 2.90000+ 1 3.50000+ 1 1.11162- 5 4.50072- 3 2.90000+ 1 3.60000+ 1 5.15915- 5 4.50225- 3 2.90000+ 1 4.10000+ 1 1.99523- 6 4.45351- 3 2.90000+ 1 4.40000+ 1 6.01429- 5 4.48720- 3 2.90000+ 1 4.70000+ 1 2.85037- 7 4.51027- 3 2.90000+ 1 5.80000+ 1 2.85037- 7 4.50802- 3 3.00000+ 1 3.00000+ 1 5.22182- 4 4.34970- 3 3.00000+ 1 3.20000+ 1 6.31640- 4 4.45289- 3 3.00000+ 1 3.30000+ 1 8.00381- 4 4.46412- 3 3.00000+ 1 3.50000+ 1 1.40518- 4 4.57587- 3 3.00000+ 1 3.60000+ 1 1.60182- 4 4.57740- 3 3.00000+ 1 4.10000+ 1 7.09731- 5 4.52866- 3 3.00000+ 1 4.30000+ 1 7.38234- 5 4.54971- 3 3.00000+ 1 4.40000+ 1 1.50215- 4 4.56235- 3 3.00000+ 1 4.60000+ 1 3.42032- 6 4.58470- 3 3.00000+ 1 4.70000+ 1 3.70536- 6 4.58542- 3 3.00000+ 1 5.80000+ 1 6.55570- 6 4.58317- 3 3.20000+ 1 3.20000+ 1 3.99057- 6 4.55608- 3 3.20000+ 1 3.30000+ 1 1.11445- 4 4.56731- 3 3.20000+ 1 3.50000+ 1 4.84561- 6 4.67906- 3 3.20000+ 1 3.60000+ 1 3.90509- 5 4.68059- 3 3.20000+ 1 4.10000+ 1 2.56532- 6 4.63185- 3 3.20000+ 1 4.30000+ 1 2.85037- 7 4.65290- 3 3.20000+ 1 4.40000+ 1 8.66522- 5 4.66554- 3 3.20000+ 1 4.70000+ 1 5.70063- 7 4.68861- 3 3.20000+ 1 5.80000+ 1 2.85037- 7 4.68636- 3 3.30000+ 1 3.30000+ 1 4.78862- 5 4.57854- 3 3.30000+ 1 3.50000+ 1 3.76250- 5 4.69029- 3 3.30000+ 1 3.60000+ 1 3.04982- 5 4.69182- 3 3.30000+ 1 4.10000+ 1 3.70539- 6 4.64308- 3 3.30000+ 1 4.30000+ 1 6.55576- 6 4.66413- 3 3.30000+ 1 4.40000+ 1 1.09454- 4 4.67677- 3 3.30000+ 1 4.60000+ 1 5.70063- 7 4.69912- 3 3.30000+ 1 4.70000+ 1 5.70063- 7 4.69984- 3 3.30000+ 1 5.80000+ 1 2.85037- 7 4.69759- 3 3.50000+ 1 3.50000+ 1 1.55475- 6 4.80204- 3 3.50000+ 1 3.60000+ 1 3.73114- 5 4.80357- 3 3.50000+ 1 4.10000+ 1 1.86557- 6 4.75483- 3 3.50000+ 1 4.30000+ 1 1.86557- 6 4.77588- 3 3.50000+ 1 4.40000+ 1 2.08328- 5 4.78852- 3 3.50000+ 1 4.70000+ 1 3.10936- 7 4.81159- 3 3.50000+ 1 5.80000+ 1 3.10936- 7 4.80934- 3 3.60000+ 1 3.60000+ 1 1.27081- 5 4.80510- 3 3.60000+ 1 4.10000+ 1 3.32850- 6 4.75636- 3 3.60000+ 1 4.30000+ 1 9.07755- 6 4.77741- 3 3.60000+ 1 4.40000+ 1 2.32996- 5 4.79005- 3 3.60000+ 1 4.60000+ 1 3.02589- 7 4.81240- 3 3.60000+ 1 5.80000+ 1 3.02589- 7 4.81087- 3 4.10000+ 1 4.30000+ 1 2.64161- 7 4.72867- 3 4.10000+ 1 4.40000+ 1 8.98142- 6 4.74131- 3 4.30000+ 1 4.40000+ 1 9.24559- 6 4.76236- 3 4.40000+ 1 4.40000+ 1 9.17235- 6 4.77500- 3 4.40000+ 1 4.60000+ 1 4.82751- 7 4.79735- 3 4.40000+ 1 4.70000+ 1 4.82751- 7 4.79807- 3 4.40000+ 1 5.80000+ 1 7.24132- 7 4.79582- 3 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.58989- 3 2.74400- 3 1.90000+ 1 2.14349- 4 3.04280- 3 2.40000+ 1 5.61237- 2 3.73495- 3 2.90000+ 1 6.06597- 4 3.92240- 3 3.00000+ 1 5.02748- 5 3.99755- 3 3.50000+ 1 3.08479- 3 4.22372- 3 4.30000+ 1 1.02730- 4 4.19756- 3 4.40000+ 1 7.61556- 6 4.21020- 3 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.20000+ 1 4.76085- 2 8.51400- 5 1.40000+ 1 3.30000+ 1 6.85333- 3 9.63700- 5 1.40000+ 1 3.50000+ 1 2.23959- 2 2.08120- 4 1.40000+ 1 3.60000+ 1 2.38451- 3 2.09650- 4 1.40000+ 1 4.10000+ 1 9.41567- 4 1.60910- 4 1.40000+ 1 4.30000+ 1 4.52028- 4 1.81960- 4 1.40000+ 1 4.40000+ 1 8.93365- 4 1.94600- 4 1.40000+ 1 4.60000+ 1 2.42730- 4 2.16950- 4 1.40000+ 1 4.70000+ 1 3.07609- 5 2.17670- 4 1.40000+ 1 5.80000+ 1 8.69298- 5 2.15420- 4 1.60000+ 1 1.60000+ 1 1.33739- 6 9.09000- 4 1.60000+ 1 1.80000+ 1 6.72717- 4 1.07990- 3 1.60000+ 1 1.90000+ 1 6.86092- 4 1.37870- 3 1.60000+ 1 2.10000+ 1 2.68038- 2 1.65346- 3 1.60000+ 1 2.20000+ 1 3.20311- 3 1.70766- 3 1.60000+ 1 2.40000+ 1 1.62783- 2 2.07085- 3 1.60000+ 1 2.50000+ 1 3.53024- 3 2.08563- 3 1.60000+ 1 2.70000+ 1 1.33739- 5 2.18880- 3 1.60000+ 1 2.90000+ 1 1.42437- 4 2.25830- 3 1.60000+ 1 3.00000+ 1 1.08327- 4 2.33345- 3 1.60000+ 1 3.20000+ 1 3.53074- 3 2.43664- 3 1.60000+ 1 3.30000+ 1 4.56723- 4 2.44787- 3 1.60000+ 1 3.50000+ 1 5.59035- 4 2.55962- 3 1.60000+ 1 3.60000+ 1 9.76352- 5 2.56115- 3 1.60000+ 1 4.10000+ 1 3.34344- 6 2.51241- 3 1.60000+ 1 4.30000+ 1 2.34046- 5 2.53346- 3 1.60000+ 1 4.40000+ 1 1.47115- 5 2.54610- 3 1.60000+ 1 4.60000+ 1 1.73865- 5 2.56845- 3 1.60000+ 1 4.70000+ 1 2.00615- 6 2.56917- 3 1.80000+ 1 1.80000+ 1 2.66812- 4 1.25080- 3 1.80000+ 1 1.90000+ 1 2.98838- 3 1.54960- 3 1.80000+ 1 2.10000+ 1 2.43353- 2 1.82436- 3 1.80000+ 1 2.20000+ 1 1.29730- 3 1.87856- 3 1.80000+ 1 2.40000+ 1 1.27646- 2 2.24175- 3 1.80000+ 1 2.50000+ 1 7.23816- 3 2.25653- 3 1.80000+ 1 2.70000+ 1 8.76008- 5 2.35970- 3 1.80000+ 1 2.90000+ 1 1.18371- 4 2.42920- 3 1.80000+ 1 3.00000+ 1 5.26941- 4 2.50435- 3 1.80000+ 1 3.20000+ 1 3.16621- 3 2.60754- 3 1.80000+ 1 3.30000+ 1 2.07966- 4 2.61877- 3 1.80000+ 1 3.50000+ 1 4.23971- 4 2.73052- 3 1.80000+ 1 3.60000+ 1 2.41408- 4 2.73205- 3 1.80000+ 1 4.10000+ 1 1.60490- 5 2.68331- 3 1.80000+ 1 4.30000+ 1 1.93923- 5 2.70436- 3 1.80000+ 1 4.40000+ 1 7.42268- 5 2.71700- 3 1.80000+ 1 4.60000+ 1 1.60490- 5 2.73935- 3 1.80000+ 1 4.70000+ 1 6.68720- 7 2.74007- 3 1.80000+ 1 5.80000+ 1 1.33740- 6 2.73782- 3 1.90000+ 1 1.90000+ 1 1.03377- 3 1.84840- 3 1.90000+ 1 2.10000+ 1 4.57685- 2 2.12316- 3 1.90000+ 1 2.20000+ 1 1.73931- 3 2.17736- 3 1.90000+ 1 2.40000+ 1 1.71588- 3 2.54055- 3 1.90000+ 1 2.50000+ 1 1.52000- 3 2.55533- 3 1.90000+ 1 2.70000+ 1 1.31733- 4 2.65850- 3 1.90000+ 1 2.90000+ 1 4.40011- 4 2.72800- 3 1.90000+ 1 3.00000+ 1 3.47734- 4 2.80315- 3 1.90000+ 1 3.20000+ 1 6.03091- 3 2.90634- 3 1.90000+ 1 3.30000+ 1 2.62140- 4 2.91757- 3 1.90000+ 1 3.50000+ 1 4.41338- 5 3.02932- 3 1.90000+ 1 3.60000+ 1 3.61099- 5 3.03085- 3 1.90000+ 1 4.10000+ 1 2.47418- 5 2.98211- 3 1.90000+ 1 4.30000+ 1 6.75381- 5 3.00316- 3 1.90000+ 1 4.40000+ 1 4.88154- 5 3.01580- 3 1.90000+ 1 4.60000+ 1 3.00917- 5 3.03815- 3 1.90000+ 1 4.70000+ 1 1.33738- 6 3.03887- 3 1.90000+ 1 5.80000+ 1 2.00612- 6 3.03662- 3 2.10000+ 1 2.10000+ 1 4.27211- 2 2.39792- 3 2.10000+ 1 2.20000+ 1 8.30296- 2 2.45212- 3 2.10000+ 1 2.40000+ 1 5.14063- 2 2.81531- 3 2.10000+ 1 2.50000+ 1 6.03420- 2 2.83009- 3 2.10000+ 1 2.70000+ 1 6.26719- 3 2.93326- 3 2.10000+ 1 2.90000+ 1 5.95819- 3 3.00276- 3 2.10000+ 1 3.00000+ 1 1.08277- 2 3.07791- 3 2.10000+ 1 3.20000+ 1 1.41170- 2 3.18110- 3 2.10000+ 1 3.30000+ 1 1.60710- 2 3.19233- 3 2.10000+ 1 3.50000+ 1 2.46335- 3 3.30408- 3 2.10000+ 1 3.60000+ 1 2.84136- 3 3.30561- 3 2.10000+ 1 4.10000+ 1 1.24115- 3 3.25687- 3 2.10000+ 1 4.30000+ 1 1.01245- 3 3.27792- 3 2.10000+ 1 4.40000+ 1 1.61756- 3 3.29056- 3 2.10000+ 1 4.60000+ 1 7.35583- 5 3.31291- 3 2.10000+ 1 4.70000+ 1 7.28901- 5 3.31363- 3 2.10000+ 1 5.80000+ 1 1.16355- 4 3.31138- 3 2.20000+ 1 2.20000+ 1 1.30187- 3 2.50632- 3 2.20000+ 1 2.40000+ 1 6.14674- 2 2.86951- 3 2.20000+ 1 2.50000+ 1 2.84333- 3 2.88429- 3 2.20000+ 1 2.70000+ 1 3.54418- 4 2.98746- 3 2.20000+ 1 2.90000+ 1 1.69853- 4 3.05696- 3 2.20000+ 1 3.00000+ 1 3.24985- 4 3.13211- 3 2.20000+ 1 3.20000+ 1 1.09631- 2 3.23530- 3 2.20000+ 1 3.30000+ 1 4.06560- 4 3.24653- 3 2.20000+ 1 3.50000+ 1 2.68484- 3 3.35828- 3 2.20000+ 1 3.60000+ 1 1.10329- 4 3.35981- 3 2.20000+ 1 4.10000+ 1 6.15202- 5 3.31107- 3 2.20000+ 1 4.30000+ 1 2.60784- 5 3.33212- 3 2.20000+ 1 4.40000+ 1 4.61397- 5 3.34476- 3 2.20000+ 1 4.60000+ 1 5.48338- 5 3.36711- 3 2.20000+ 1 4.70000+ 1 2.00613- 6 3.36783- 3 2.20000+ 1 5.80000+ 1 5.34973- 6 3.36558- 3 2.40000+ 1 2.40000+ 1 6.12065- 2 3.23270- 3 2.40000+ 1 2.50000+ 1 1.74653- 1 3.24748- 3 2.40000+ 1 2.70000+ 1 4.09597- 3 3.35065- 3 2.40000+ 1 2.90000+ 1 2.41796- 3 3.42015- 3 2.40000+ 1 3.00000+ 1 4.15271- 4 3.49530- 3 2.40000+ 1 3.20000+ 1 7.49285- 3 3.59849- 3 2.40000+ 1 3.30000+ 1 1.12664- 2 3.60972- 3 2.40000+ 1 3.50000+ 1 5.14042- 3 3.72147- 3 2.40000+ 1 3.60000+ 1 7.73033- 3 3.72300- 3 2.40000+ 1 4.10000+ 1 8.19821- 4 3.67426- 3 2.40000+ 1 4.30000+ 1 4.01896- 4 3.69531- 3 2.40000+ 1 4.40000+ 1 6.28582- 5 3.70795- 3 2.40000+ 1 4.60000+ 1 3.81161- 5 3.73030- 3 2.40000+ 1 4.70000+ 1 5.08207- 5 3.73102- 3 2.40000+ 1 5.80000+ 1 7.69004- 5 3.72877- 3 2.50000+ 1 2.50000+ 1 3.59756- 3 3.26226- 3 2.50000+ 1 2.70000+ 1 6.12533- 4 3.36543- 3 2.50000+ 1 2.90000+ 1 6.90778- 4 3.43493- 3 2.50000+ 1 3.00000+ 1 3.22983- 4 3.51008- 3 2.50000+ 1 3.20000+ 1 7.21946- 3 3.61327- 3 2.50000+ 1 3.30000+ 1 4.83462- 4 3.62450- 3 2.50000+ 1 3.50000+ 1 6.44430- 3 3.73625- 3 2.50000+ 1 3.60000+ 1 2.90897- 4 3.73778- 3 2.50000+ 1 4.10000+ 1 1.12335- 4 3.68904- 3 2.50000+ 1 4.30000+ 1 9.96406- 5 3.71009- 3 2.50000+ 1 4.40000+ 1 4.68083- 5 3.72273- 3 2.50000+ 1 4.60000+ 1 3.54420- 5 3.74508- 3 2.50000+ 1 4.70000+ 1 2.00614- 6 3.74580- 3 2.50000+ 1 5.80000+ 1 1.06989- 5 3.74355- 3 2.70000+ 1 2.70000+ 1 1.33747- 6 3.46860- 3 2.70000+ 1 2.90000+ 1 2.20684- 5 3.53810- 3 2.70000+ 1 3.00000+ 1 2.14000- 5 3.61325- 3 2.70000+ 1 3.20000+ 1 8.31245- 4 3.71644- 3 2.70000+ 1 3.30000+ 1 5.68430- 5 3.72767- 3 2.70000+ 1 3.50000+ 1 1.50464- 4 3.83942- 3 2.70000+ 1 3.60000+ 1 2.20684- 5 3.84095- 3 2.70000+ 1 4.10000+ 1 6.68753- 7 3.79221- 3 2.70000+ 1 4.30000+ 1 3.34362- 6 3.81326- 3 2.70000+ 1 4.40000+ 1 3.34362- 6 3.82590- 3 2.70000+ 1 4.60000+ 1 4.01240- 6 3.84825- 3 2.90000+ 1 2.90000+ 1 1.40424- 5 3.60760- 3 2.90000+ 1 3.00000+ 1 8.42571- 5 3.68275- 3 2.90000+ 1 3.20000+ 1 7.79725- 4 3.78594- 3 2.90000+ 1 3.30000+ 1 3.20972- 5 3.79717- 3 2.90000+ 1 3.50000+ 1 8.35888- 5 3.90892- 3 2.90000+ 1 3.60000+ 1 2.40732- 5 3.91045- 3 2.90000+ 1 4.10000+ 1 4.01223- 6 3.86171- 3 2.90000+ 1 4.30000+ 1 4.68089- 6 3.88276- 3 2.90000+ 1 4.40000+ 1 1.20376- 5 3.89540- 3 2.90000+ 1 4.60000+ 1 4.01223- 6 3.91775- 3 2.90000+ 1 5.80000+ 1 6.68724- 7 3.91622- 3 3.00000+ 1 3.00000+ 1 3.00915- 5 3.75790- 3 3.00000+ 1 3.20000+ 1 1.43561- 3 3.86109- 3 3.00000+ 1 3.30000+ 1 5.21573- 5 3.87232- 3 3.00000+ 1 3.50000+ 1 1.27054- 5 3.98407- 3 3.00000+ 1 3.60000+ 1 8.02430- 6 3.98560- 3 3.00000+ 1 4.10000+ 1 4.01210- 6 3.93686- 3 3.00000+ 1 4.30000+ 1 1.33737- 5 3.95791- 3 3.00000+ 1 4.40000+ 1 8.69294- 6 3.97055- 3 3.00000+ 1 4.60000+ 1 7.35567- 6 3.99290- 3 3.00000+ 1 5.80000+ 1 6.68704- 7 3.99137- 3 3.20000+ 1 3.20000+ 1 1.11339- 3 3.96428- 3 3.20000+ 1 3.30000+ 1 2.13580- 3 3.97551- 3 3.20000+ 1 3.50000+ 1 3.57763- 4 4.08726- 3 3.20000+ 1 3.60000+ 1 3.44398- 4 4.08879- 3 3.20000+ 1 4.10000+ 1 1.64499- 4 4.04005- 3 3.20000+ 1 4.30000+ 1 1.32404- 4 4.06110- 3 3.20000+ 1 4.40000+ 1 2.14647- 4 4.07374- 3 3.20000+ 1 4.60000+ 1 1.13682- 5 4.09609- 3 3.20000+ 1 4.70000+ 1 1.00307- 5 4.09681- 3 3.20000+ 1 5.80000+ 1 1.53797- 5 4.09456- 3 3.30000+ 1 3.30000+ 1 3.14289- 5 3.98674- 3 3.30000+ 1 3.50000+ 1 4.98173- 4 4.09849- 3 3.30000+ 1 3.60000+ 1 1.93918- 5 4.10002- 3 3.30000+ 1 4.10000+ 1 1.00305- 5 4.05128- 3 3.30000+ 1 4.30000+ 1 5.34966- 6 4.07233- 3 3.30000+ 1 4.40000+ 1 7.35566- 6 4.08497- 3 3.30000+ 1 4.60000+ 1 1.06987- 5 4.10732- 3 3.30000+ 1 5.80000+ 1 6.68703- 7 4.10579- 3 3.50000+ 1 3.50000+ 1 9.53453- 5 4.21024- 3 3.50000+ 1 3.60000+ 1 3.22253- 4 4.21177- 3 3.50000+ 1 4.10000+ 1 3.32605- 5 4.16303- 3 3.50000+ 1 4.30000+ 1 1.55207- 5 4.18408- 3 3.50000+ 1 4.40000+ 1 2.21737- 6 4.19672- 3 3.50000+ 1 4.60000+ 1 2.21737- 6 4.21907- 3 3.50000+ 1 4.70000+ 1 2.21737- 6 4.21979- 3 3.50000+ 1 5.80000+ 1 2.95641- 6 4.21754- 3 3.60000+ 1 3.60000+ 1 4.64009- 6 4.21330- 3 3.60000+ 1 4.10000+ 1 3.47994- 6 4.16456- 3 3.60000+ 1 4.30000+ 1 2.89991- 6 4.18561- 3 3.60000+ 1 4.40000+ 1 1.15998- 6 4.19825- 3 3.60000+ 1 4.60000+ 1 1.74002- 6 4.22060- 3 3.60000+ 1 5.80000+ 1 5.80007- 7 4.21907- 3 4.10000+ 1 4.30000+ 1 4.66098- 7 4.13687- 3 4.10000+ 1 4.40000+ 1 4.66098- 7 4.14951- 3 4.10000+ 1 4.60000+ 1 4.66098- 7 4.17186- 3 4.30000+ 1 4.30000+ 1 5.84098- 7 4.15792- 3 4.30000+ 1 4.40000+ 1 1.75229- 6 4.17056- 3 4.30000+ 1 4.60000+ 1 5.84098- 7 4.19291- 3 4.40000+ 1 4.40000+ 1 3.39839- 7 4.18320- 3 4.40000+ 1 4.60000+ 1 6.79657- 7 4.20555- 3 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.65099- 3 2.82120- 3 2.40000+ 1 2.66489- 3 3.51335- 3 2.50000+ 1 5.22157- 2 3.52813- 3 3.00000+ 1 3.87198- 4 3.77595- 3 3.50000+ 1 1.43549- 4 4.00212- 3 3.60000+ 1 2.76359- 3 4.00365- 3 4.40000+ 1 5.83667- 5 3.98860- 3 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 3.34786- 5 6.87400- 4 1.60000+ 1 1.80000+ 1 3.05409- 4 8.58300- 4 1.60000+ 1 1.90000+ 1 1.41029- 3 1.15710- 3 1.60000+ 1 2.10000+ 1 3.11367- 3 1.43186- 3 1.60000+ 1 2.20000+ 1 3.01444- 2 1.48606- 3 1.60000+ 1 2.40000+ 1 4.01550- 3 1.84925- 3 1.60000+ 1 2.50000+ 1 1.71263- 2 1.86403- 3 1.60000+ 1 2.70000+ 1 1.91307- 5 1.96720- 3 1.60000+ 1 2.90000+ 1 2.66468- 5 2.03670- 3 1.60000+ 1 3.00000+ 1 2.28205- 4 2.11185- 3 1.60000+ 1 3.20000+ 1 4.03115- 4 2.21504- 3 1.60000+ 1 3.30000+ 1 3.94846- 3 2.22627- 3 1.60000+ 1 3.50000+ 1 1.06591- 4 2.33802- 3 1.60000+ 1 3.60000+ 1 5.22010- 4 2.33955- 3 1.60000+ 1 4.10000+ 1 4.09948- 6 2.29081- 3 1.60000+ 1 4.30000+ 1 4.09948- 6 2.31186- 3 1.60000+ 1 4.40000+ 1 3.14294- 5 2.32450- 3 1.60000+ 1 4.60000+ 1 2.04974- 6 2.34685- 3 1.60000+ 1 4.70000+ 1 1.70815- 5 2.34757- 3 1.60000+ 1 5.80000+ 1 6.83261- 7 2.34532- 3 1.80000+ 1 1.80000+ 1 2.11808- 5 1.02920- 3 1.80000+ 1 1.90000+ 1 4.53480- 3 1.32800- 3 1.80000+ 1 2.10000+ 1 2.24788- 4 1.60276- 3 1.80000+ 1 2.20000+ 1 3.08646- 2 1.65696- 3 1.80000+ 1 2.40000+ 1 2.37967- 3 2.02015- 3 1.80000+ 1 2.50000+ 1 1.09710- 2 2.03493- 3 1.80000+ 1 2.70000+ 1 3.68955- 5 2.13810- 3 1.80000+ 1 2.90000+ 1 4.78266- 6 2.20760- 3 1.80000+ 1 3.00000+ 1 7.36546- 4 2.28275- 3 1.80000+ 1 3.20000+ 1 5.46604- 6 2.38594- 3 1.80000+ 1 3.30000+ 1 4.02506- 3 2.39717- 3 1.80000+ 1 3.50000+ 1 7.58412- 5 2.50892- 3 1.80000+ 1 3.60000+ 1 3.29337- 4 2.51045- 3 1.80000+ 1 4.10000+ 1 6.83260- 6 2.46171- 3 1.80000+ 1 4.30000+ 1 6.83260- 7 2.48276- 3 1.80000+ 1 4.40000+ 1 1.02487- 4 2.49540- 3 1.80000+ 1 4.70000+ 1 1.70815- 5 2.51847- 3 1.80000+ 1 5.80000+ 1 6.83260- 7 2.51622- 3 1.90000+ 1 1.90000+ 1 2.65862- 3 1.62680- 3 1.90000+ 1 2.10000+ 1 2.73243- 3 1.90156- 3 1.90000+ 1 2.20000+ 1 4.38470- 2 1.95576- 3 1.90000+ 1 2.40000+ 1 1.82421- 3 2.31895- 3 1.90000+ 1 2.50000+ 1 2.72535- 3 2.33373- 3 1.90000+ 1 2.70000+ 1 2.86950- 4 2.43690- 3 1.90000+ 1 2.90000+ 1 5.99893- 4 2.50640- 3 1.90000+ 1 3.00000+ 1 8.81395- 4 2.58155- 3 1.90000+ 1 3.20000+ 1 4.53682- 4 2.68474- 3 1.90000+ 1 3.30000+ 1 5.68602- 3 2.69597- 3 1.90000+ 1 3.50000+ 1 4.78269- 5 2.80772- 3 1.90000+ 1 3.60000+ 1 6.76429- 5 2.80925- 3 1.90000+ 1 4.10000+ 1 5.46607- 5 2.76051- 3 1.90000+ 1 4.30000+ 1 9.08720- 5 2.78156- 3 1.90000+ 1 4.40000+ 1 1.23666- 4 2.79420- 3 1.90000+ 1 4.60000+ 1 2.04974- 6 2.81655- 3 1.90000+ 1 4.70000+ 1 2.45977- 5 2.81727- 3 1.90000+ 1 5.80000+ 1 4.78269- 6 2.81502- 3 2.10000+ 1 2.10000+ 1 6.06058- 4 2.17632- 3 2.10000+ 1 2.20000+ 1 6.28353- 2 2.23052- 3 2.10000+ 1 2.40000+ 1 2.65866- 3 2.59371- 3 2.10000+ 1 2.50000+ 1 3.68723- 2 2.60849- 3 2.10000+ 1 2.70000+ 1 3.17718- 4 2.71166- 3 2.10000+ 1 2.90000+ 1 6.62752- 5 2.78116- 3 2.10000+ 1 3.00000+ 1 4.57783- 4 2.85631- 3 2.10000+ 1 3.20000+ 1 1.81069- 4 2.95950- 3 2.10000+ 1 3.30000+ 1 8.26068- 3 2.97073- 3 2.10000+ 1 3.50000+ 1 1.12739- 4 3.08248- 3 2.10000+ 1 3.60000+ 1 1.57011- 3 3.08401- 3 2.10000+ 1 4.10000+ 1 5.39761- 5 3.03527- 3 2.10000+ 1 4.30000+ 1 1.09323- 5 3.05632- 3 2.10000+ 1 4.40000+ 1 6.49094- 5 3.06896- 3 2.10000+ 1 4.60000+ 1 6.83273- 7 3.09131- 3 2.10000+ 1 4.70000+ 1 3.55303- 5 3.09203- 3 2.10000+ 1 5.80000+ 1 4.78275- 6 3.08978- 3 2.20000+ 1 2.20000+ 1 6.90052- 2 2.28472- 3 2.20000+ 1 2.40000+ 1 5.81310- 2 2.64791- 3 2.20000+ 1 2.50000+ 1 9.38787- 2 2.66269- 3 2.20000+ 1 2.70000+ 1 6.64600- 3 2.76586- 3 2.20000+ 1 2.90000+ 1 7.17606- 3 2.83536- 3 2.20000+ 1 3.00000+ 1 1.04708- 2 2.91051- 3 2.20000+ 1 3.20000+ 1 1.21165- 2 3.01370- 3 2.20000+ 1 3.30000+ 1 2.24169- 2 3.02493- 3 2.20000+ 1 3.50000+ 1 2.77176- 3 3.13668- 3 2.20000+ 1 3.60000+ 1 4.21770- 3 3.13821- 3 2.20000+ 1 4.10000+ 1 1.30768- 3 3.08947- 3 2.20000+ 1 4.30000+ 1 1.20666- 3 3.11052- 3 2.20000+ 1 4.40000+ 1 1.56729- 3 3.12316- 3 2.20000+ 1 4.60000+ 1 6.42256- 5 3.14551- 3 2.20000+ 1 4.70000+ 1 9.97571- 5 3.14623- 3 2.20000+ 1 5.80000+ 1 1.22300- 4 3.14398- 3 2.40000+ 1 2.40000+ 1 5.24460- 3 3.01110- 3 2.40000+ 1 2.50000+ 1 1.66343- 1 3.02588- 3 2.40000+ 1 2.70000+ 1 7.82989- 4 3.12905- 3 2.40000+ 1 2.90000+ 1 5.05602- 4 3.19855- 3 2.40000+ 1 3.00000+ 1 3.68278- 4 3.27370- 3 2.40000+ 1 3.20000+ 1 4.91945- 4 3.37689- 3 2.40000+ 1 3.30000+ 1 7.18366- 3 3.38812- 3 2.40000+ 1 3.50000+ 1 4.38648- 4 3.49987- 3 2.40000+ 1 3.60000+ 1 5.99811- 3 3.50140- 3 2.40000+ 1 4.10000+ 1 1.47574- 4 3.45266- 3 2.40000+ 1 4.30000+ 1 8.40389- 5 3.47371- 3 2.40000+ 1 4.40000+ 1 5.39752- 5 3.48635- 3 2.40000+ 1 4.60000+ 1 2.73293- 6 3.50870- 3 2.40000+ 1 4.70000+ 1 3.07471- 5 3.50942- 3 2.40000+ 1 5.80000+ 1 1.36646- 5 3.50717- 3 2.50000+ 1 2.50000+ 1 1.13265- 1 3.04066- 3 2.50000+ 1 2.70000+ 1 4.26830- 3 3.14383- 3 2.50000+ 1 2.90000+ 1 2.60460- 3 3.21333- 3 2.50000+ 1 3.00000+ 1 6.09460- 4 3.28848- 3 2.50000+ 1 3.20000+ 1 6.55633- 3 3.39167- 3 2.50000+ 1 3.30000+ 1 1.41596- 2 3.40290- 3 2.50000+ 1 3.50000+ 1 7.35098- 3 3.51465- 3 2.50000+ 1 3.60000+ 1 9.06051- 3 3.51618- 3 2.50000+ 1 4.10000+ 1 8.53364- 4 3.46744- 3 2.50000+ 1 4.30000+ 1 4.42052- 4 3.48849- 3 2.50000+ 1 4.40000+ 1 9.15545- 5 3.50113- 3 2.50000+ 1 4.60000+ 1 3.41608- 5 3.52348- 3 2.50000+ 1 4.70000+ 1 6.28597- 5 3.52420- 3 2.50000+ 1 5.80000+ 1 8.06244- 5 3.52195- 3 2.70000+ 1 2.90000+ 1 1.36647- 6 3.31650- 3 2.70000+ 1 3.00000+ 1 4.85124- 5 3.39165- 3 2.70000+ 1 3.20000+ 1 4.78271- 5 3.49484- 3 2.70000+ 1 3.30000+ 1 8.76607- 4 3.50607- 3 2.70000+ 1 3.50000+ 1 2.73295- 5 3.61782- 3 2.70000+ 1 3.60000+ 1 1.46220- 4 3.61935- 3 2.70000+ 1 4.40000+ 1 6.83266- 6 3.60430- 3 2.70000+ 1 4.70000+ 1 4.09951- 6 3.62737- 3 2.90000+ 1 3.00000+ 1 1.04527- 4 3.46115- 3 2.90000+ 1 3.20000+ 1 4.09938- 6 3.56434- 3 2.90000+ 1 3.30000+ 1 9.51769- 4 3.57557- 3 2.90000+ 1 3.50000+ 1 1.63978- 5 3.68732- 3 2.90000+ 1 3.60000+ 1 8.26711- 5 3.68885- 3 2.90000+ 1 4.40000+ 1 1.50310- 5 3.67380- 3 2.90000+ 1 4.70000+ 1 4.09938- 6 3.69687- 3 3.00000+ 1 3.00000+ 1 7.31080- 5 3.53630- 3 3.00000+ 1 3.20000+ 1 8.13086- 5 3.63949- 3 3.00000+ 1 3.30000+ 1 1.36310- 3 3.65072- 3 3.00000+ 1 3.50000+ 1 1.09323- 5 3.76247- 3 3.00000+ 1 3.60000+ 1 1.77652- 5 3.76400- 3 3.00000+ 1 4.10000+ 1 9.56609- 6 3.71526- 3 3.00000+ 1 4.30000+ 1 1.63984- 5 3.73631- 3 3.00000+ 1 4.40000+ 1 2.04977- 5 3.74895- 3 3.00000+ 1 4.60000+ 1 6.83272- 7 3.77130- 3 3.00000+ 1 4.70000+ 1 6.14943- 6 3.77202- 3 3.00000+ 1 5.80000+ 1 6.83272- 7 3.76977- 3 3.20000+ 1 3.20000+ 1 1.22992- 5 3.74268- 3 3.20000+ 1 3.30000+ 1 1.60369- 3 3.75391- 3 3.20000+ 1 3.50000+ 1 2.11814- 5 3.86566- 3 3.20000+ 1 3.60000+ 1 2.85602- 4 3.86719- 3 3.20000+ 1 4.10000+ 1 8.19930- 6 3.81845- 3 3.20000+ 1 4.30000+ 1 6.83279- 7 3.83950- 3 3.20000+ 1 4.40000+ 1 1.16157- 5 3.85214- 3 3.20000+ 1 4.70000+ 1 6.83279- 6 3.87521- 3 3.20000+ 1 5.80000+ 1 6.83279- 7 3.87296- 3 3.30000+ 1 3.30000+ 1 1.74504- 3 3.76514- 3 3.30000+ 1 3.50000+ 1 3.46418- 4 3.87689- 3 3.30000+ 1 3.60000+ 1 6.33374- 4 3.87842- 3 3.30000+ 1 4.10000+ 1 1.72183- 4 3.82968- 3 3.30000+ 1 4.30000+ 1 1.60567- 4 3.85073- 3 3.30000+ 1 4.40000+ 1 2.04290- 4 3.86337- 3 3.30000+ 1 4.60000+ 1 8.19922- 6 3.88572- 3 3.30000+ 1 4.70000+ 1 1.57150- 5 3.88644- 3 3.30000+ 1 5.80000+ 1 1.63985- 5 3.88419- 3 3.50000+ 1 3.50000+ 1 8.78759- 6 3.98864- 3 3.50000+ 1 3.60000+ 1 3.16330- 4 3.99017- 3 3.50000+ 1 4.10000+ 1 6.39091- 6 3.94143- 3 3.50000+ 1 4.30000+ 1 3.19534- 6 3.96248- 3 3.50000+ 1 4.40000+ 1 1.59766- 6 3.97512- 3 3.50000+ 1 4.70000+ 1 1.59766- 6 3.99819- 3 3.50000+ 1 5.80000+ 1 7.98869- 7 3.99594- 3 3.60000+ 1 3.60000+ 1 1.73443- 4 3.99170- 3 3.60000+ 1 4.10000+ 1 3.27121- 5 3.94296- 3 3.60000+ 1 4.30000+ 1 1.59746- 5 3.96401- 3 3.60000+ 1 4.40000+ 1 3.04274- 6 3.97665- 3 3.60000+ 1 4.60000+ 1 1.52137- 6 3.99900- 3 3.60000+ 1 4.70000+ 1 3.04274- 6 3.99972- 3 3.60000+ 1 5.80000+ 1 3.04274- 6 3.99747- 3 4.10000+ 1 4.40000+ 1 9.41847- 7 3.92791- 3 4.10000+ 1 4.70000+ 1 4.70946- 7 3.95098- 3 4.30000+ 1 4.40000+ 1 1.64608- 6 3.94896- 3 4.30000+ 1 4.70000+ 1 5.48707- 7 3.97203- 3 4.40000+ 1 4.40000+ 1 1.00718- 6 3.96160- 3 4.40000+ 1 4.70000+ 1 5.03613- 7 3.98467- 3 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.32170- 5 1.70900- 4 1.90000+ 1 5.95650- 4 4.69700- 4 2.90000+ 1 3.92220- 4 1.34930- 3 3.00000+ 1 6.25130- 5 1.42445- 3 4.30000+ 1 7.71980- 5 1.62446- 3 4.40000+ 1 1.47070- 5 1.63710- 3 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.20000+ 1 6.03876- 2 3.44400- 5 1.80000+ 1 3.30000+ 1 9.30098- 2 4.56700- 5 1.80000+ 1 3.50000+ 1 1.71823- 2 1.57420- 4 1.80000+ 1 3.60000+ 1 1.84734- 2 1.58950- 4 1.80000+ 1 4.10000+ 1 8.89372- 3 1.10210- 4 1.80000+ 1 4.30000+ 1 7.30091- 3 1.31260- 4 1.80000+ 1 4.40000+ 1 9.36387- 3 1.43900- 4 1.80000+ 1 4.60000+ 1 2.78016- 4 1.66250- 4 1.80000+ 1 4.70000+ 1 3.66407- 4 1.66970- 4 1.80000+ 1 5.80000+ 1 8.03936- 4 1.64720- 4 1.90000+ 1 2.50000+ 1 1.61398- 2 0.00000+ 0 1.90000+ 1 2.70000+ 1 3.61437- 2 8.54000- 5 1.90000+ 1 2.90000+ 1 4.43946- 2 1.54900- 4 1.90000+ 1 3.00000+ 1 3.57553- 2 2.30050- 4 1.90000+ 1 3.20000+ 1 3.11814- 2 3.33240- 4 1.90000+ 1 3.30000+ 1 3.86574- 2 3.44470- 4 1.90000+ 1 3.50000+ 1 1.23294- 3 4.56220- 4 1.90000+ 1 3.60000+ 1 2.10554- 3 4.57750- 4 1.90000+ 1 4.10000+ 1 7.06461- 3 4.09010- 4 1.90000+ 1 4.30000+ 1 7.16866- 3 4.30060- 4 1.90000+ 1 4.40000+ 1 5.42997- 3 4.42700- 4 1.90000+ 1 4.60000+ 1 1.54335- 4 4.65050- 4 1.90000+ 1 4.70000+ 1 1.69914- 4 4.65770- 4 1.90000+ 1 5.80000+ 1 6.51999- 4 4.63520- 4 2.10000+ 1 2.40000+ 1 3.35591- 3 2.42210- 4 2.10000+ 1 2.50000+ 1 3.77662- 3 2.56990- 4 2.10000+ 1 2.70000+ 1 1.57921- 2 3.60160- 4 2.10000+ 1 2.90000+ 1 5.77514- 3 4.29660- 4 2.10000+ 1 3.00000+ 1 4.56626- 3 5.04810- 4 2.10000+ 1 3.20000+ 1 1.76790- 3 6.08000- 4 2.10000+ 1 3.30000+ 1 3.42277- 3 6.19230- 4 2.10000+ 1 3.50000+ 1 9.53255- 4 7.30980- 4 2.10000+ 1 3.60000+ 1 9.49202- 4 7.32510- 4 2.10000+ 1 4.10000+ 1 2.24274- 3 6.83770- 4 2.10000+ 1 4.30000+ 1 9.05610- 4 7.04820- 4 2.10000+ 1 4.40000+ 1 5.61634- 4 7.17460- 4 2.10000+ 1 4.60000+ 1 8.82628- 6 7.39810- 4 2.10000+ 1 4.70000+ 1 1.46673- 5 7.40530- 4 2.10000+ 1 5.80000+ 1 2.00403- 4 7.38280- 4 2.20000+ 1 2.40000+ 1 4.41419- 3 2.96410- 4 2.20000+ 1 2.50000+ 1 5.67359- 3 3.11190- 4 2.20000+ 1 2.70000+ 1 2.19085- 2 4.14360- 4 2.20000+ 1 2.90000+ 1 8.50778- 3 4.83860- 4 2.20000+ 1 3.00000+ 1 5.73088- 3 5.59010- 4 2.20000+ 1 3.20000+ 1 2.66933- 3 6.62200- 4 2.20000+ 1 3.30000+ 1 3.34377- 3 6.73430- 4 2.20000+ 1 3.50000+ 1 1.02962- 3 7.85180- 4 2.20000+ 1 3.60000+ 1 1.40456- 3 7.86710- 4 2.20000+ 1 4.10000+ 1 3.08683- 3 7.37970- 4 2.20000+ 1 4.30000+ 1 1.19302- 3 7.59020- 4 2.20000+ 1 4.40000+ 1 7.86573- 4 7.71660- 4 2.20000+ 1 4.60000+ 1 1.33693- 5 7.94010- 4 2.20000+ 1 4.70000+ 1 1.47967- 5 7.94730- 4 2.20000+ 1 5.80000+ 1 2.75177- 4 7.92480- 4 2.40000+ 1 2.40000+ 1 8.41332- 3 6.59600- 4 2.40000+ 1 2.50000+ 1 1.56473- 2 6.74380- 4 2.40000+ 1 2.70000+ 1 1.95323- 2 7.77550- 4 2.40000+ 1 2.90000+ 1 2.74586- 3 8.47050- 4 2.40000+ 1 3.00000+ 1 1.29346- 2 9.22200- 4 2.40000+ 1 3.20000+ 1 1.19957- 3 1.02539- 3 2.40000+ 1 3.30000+ 1 7.63363- 4 1.03662- 3 2.40000+ 1 3.50000+ 1 3.87054- 4 1.14837- 3 2.40000+ 1 3.60000+ 1 3.64468- 4 1.14990- 3 2.40000+ 1 4.10000+ 1 2.31496- 3 1.10116- 3 2.40000+ 1 4.30000+ 1 3.42015- 4 1.12221- 3 2.40000+ 1 4.40000+ 1 1.45952- 3 1.13485- 3 2.40000+ 1 4.60000+ 1 5.97074- 6 1.15720- 3 2.40000+ 1 4.70000+ 1 3.11514- 6 1.15792- 3 2.40000+ 1 5.80000+ 1 2.00666- 4 1.15567- 3 2.50000+ 1 2.50000+ 1 1.38290- 2 6.89160- 4 2.50000+ 1 2.70000+ 1 2.51849- 2 7.92330- 4 2.50000+ 1 2.90000+ 1 1.21656- 3 8.61830- 4 2.50000+ 1 3.00000+ 1 1.32652- 2 9.36980- 4 2.50000+ 1 3.20000+ 1 6.77694- 4 1.04017- 3 2.50000+ 1 3.30000+ 1 1.68987- 3 1.05140- 3 2.50000+ 1 3.50000+ 1 3.83551- 4 1.16315- 3 2.50000+ 1 3.60000+ 1 6.26646- 4 1.16468- 3 2.50000+ 1 4.10000+ 1 2.97120- 3 1.11594- 3 2.50000+ 1 4.30000+ 1 1.47189- 4 1.13699- 3 2.50000+ 1 4.40000+ 1 1.42942- 3 1.14963- 3 2.50000+ 1 4.60000+ 1 3.37470- 6 1.17198- 3 2.50000+ 1 4.70000+ 1 7.00919- 6 1.17270- 3 2.50000+ 1 5.80000+ 1 2.57389- 4 1.17045- 3 2.70000+ 1 2.70000+ 1 1.78616- 2 8.95500- 4 2.70000+ 1 2.90000+ 1 2.69375- 2 9.65000- 4 2.70000+ 1 3.00000+ 1 4.14289- 2 1.04015- 3 2.70000+ 1 3.20000+ 1 4.29059- 2 1.14334- 3 2.70000+ 1 3.30000+ 1 5.89224- 2 1.15457- 3 2.70000+ 1 3.50000+ 1 1.45781- 2 1.26632- 3 2.70000+ 1 3.60000+ 1 1.81053- 2 1.26785- 3 2.70000+ 1 4.10000+ 1 5.80881- 3 1.21911- 3 2.70000+ 1 4.30000+ 1 4.58251- 3 1.24016- 3 2.70000+ 1 4.40000+ 1 6.15787- 3 1.25280- 3 2.70000+ 1 4.60000+ 1 2.29130- 4 1.27515- 3 2.70000+ 1 4.70000+ 1 2.70298- 4 1.27587- 3 2.70000+ 1 5.80000+ 1 5.31647- 4 1.27362- 3 2.90000+ 1 2.90000+ 1 2.05139- 3 1.03450- 3 2.90000+ 1 3.00000+ 1 9.65196- 3 1.10965- 3 2.90000+ 1 3.20000+ 1 3.82001- 3 1.21284- 3 2.90000+ 1 3.30000+ 1 2.55981- 3 1.22407- 3 2.90000+ 1 3.50000+ 1 7.85794- 4 1.33582- 3 2.90000+ 1 3.60000+ 1 4.58248- 4 1.33735- 3 2.90000+ 1 4.10000+ 1 3.25610- 3 1.28861- 3 2.90000+ 1 4.30000+ 1 5.56704- 4 1.30966- 3 2.90000+ 1 4.40000+ 1 1.05971- 3 1.32230- 3 2.90000+ 1 4.60000+ 1 1.96901- 5 1.34465- 3 2.90000+ 1 4.70000+ 1 1.07396- 5 1.34537- 3 2.90000+ 1 5.80000+ 1 2.82832- 4 1.34312- 3 3.00000+ 1 3.00000+ 1 4.81536- 3 1.18480- 3 3.00000+ 1 3.20000+ 1 2.06396- 3 1.28799- 3 3.00000+ 1 3.30000+ 1 5.83751- 3 1.29922- 3 3.00000+ 1 3.50000+ 1 4.06530- 3 1.41097- 3 3.00000+ 1 3.60000+ 1 5.01046- 3 1.41250- 3 3.00000+ 1 4.10000+ 1 5.23072- 3 1.36376- 3 3.00000+ 1 4.30000+ 1 1.45532- 3 1.38481- 3 3.00000+ 1 4.40000+ 1 1.24770- 3 1.39745- 3 3.00000+ 1 4.60000+ 1 1.07399- 5 1.41980- 3 3.00000+ 1 4.70000+ 1 2.68512- 5 1.42052- 3 3.00000+ 1 5.80000+ 1 4.60061- 4 1.41827- 3 3.20000+ 1 3.20000+ 1 1.08207- 3 1.39118- 3 3.20000+ 1 3.30000+ 1 3.57915- 3 1.40241- 3 3.20000+ 1 3.50000+ 1 3.54188- 4 1.51416- 3 3.20000+ 1 3.60000+ 1 2.53254- 4 1.51569- 3 3.20000+ 1 4.10000+ 1 5.19967- 3 1.46695- 3 3.20000+ 1 4.30000+ 1 4.92334- 4 1.48800- 3 3.20000+ 1 4.40000+ 1 1.84176- 4 1.50064- 3 3.20000+ 1 4.60000+ 1 1.06252- 5 1.52299- 3 3.20000+ 1 4.70000+ 1 1.41683- 5 1.52371- 3 3.20000+ 1 5.80000+ 1 4.53367- 4 1.52146- 3 3.30000+ 1 3.30000+ 1 2.20162- 3 1.41364- 3 3.30000+ 1 3.50000+ 1 2.76957- 4 1.52539- 3 3.30000+ 1 3.60000+ 1 5.13591- 4 1.52692- 3 3.30000+ 1 4.10000+ 1 7.05373- 3 1.47818- 3 3.30000+ 1 4.30000+ 1 2.82212- 4 1.49923- 3 3.30000+ 1 4.40000+ 1 6.57324- 4 1.51187- 3 3.30000+ 1 4.60000+ 1 1.57762- 5 1.53422- 3 3.30000+ 1 4.70000+ 1 1.75291- 5 1.53494- 3 3.30000+ 1 5.80000+ 1 6.15256- 4 1.53269- 3 3.50000+ 1 3.50000+ 1 3.00934- 5 1.63714- 3 3.50000+ 1 3.60000+ 1 6.39487- 5 1.63867- 3 3.50000+ 1 4.10000+ 1 1.79059- 3 1.58993- 3 3.50000+ 1 4.30000+ 1 9.96878- 5 1.61098- 3 3.50000+ 1 4.40000+ 1 5.04077- 4 1.62362- 3 3.50000+ 1 4.60000+ 1 1.88090- 6 1.64597- 3 3.50000+ 1 4.70000+ 1 1.88090- 6 1.64669- 3 3.50000+ 1 5.80000+ 1 1.54237- 4 1.64444- 3 3.60000+ 1 3.60000+ 1 5.00375- 5 1.64020- 3 3.60000+ 1 4.10000+ 1 2.18687- 3 1.59146- 3 3.60000+ 1 4.30000+ 1 5.18909- 5 1.61251- 3 3.60000+ 1 4.40000+ 1 6.04163- 4 1.62515- 3 3.60000+ 1 4.60000+ 1 1.85331- 6 1.64750- 3 3.60000+ 1 4.70000+ 1 1.85331- 6 1.64822- 3 3.60000+ 1 5.80000+ 1 1.89031- 4 1.64597- 3 4.10000+ 1 4.10000+ 1 4.07713- 4 1.54272- 3 4.10000+ 1 4.30000+ 1 5.26128- 4 1.56377- 3 4.10000+ 1 4.40000+ 1 7.20702- 4 1.57641- 3 4.10000+ 1 4.60000+ 1 2.70676- 5 1.59876- 3 4.10000+ 1 4.70000+ 1 3.04512- 5 1.59948- 3 4.10000+ 1 5.80000+ 1 7.44384- 5 1.59723- 3 4.30000+ 1 4.30000+ 1 3.40457- 5 1.58482- 3 4.30000+ 1 4.40000+ 1 1.41048- 4 1.59746- 3 4.30000+ 1 4.60000+ 1 1.62130- 6 1.61981- 3 4.30000+ 1 4.70000+ 1 1.62130- 6 1.62053- 3 4.30000+ 1 5.80000+ 1 4.37734- 5 1.61828- 3 4.40000+ 1 4.40000+ 1 6.82829- 5 1.61010- 3 4.40000+ 1 4.60000+ 1 1.58797- 6 1.63245- 3 4.40000+ 1 4.70000+ 1 3.17578- 6 1.63317- 3 4.40000+ 1 5.80000+ 1 5.87534- 5 1.63092- 3 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.09594- 3 5.73560- 4 2.70000+ 1 2.51604- 4 1.10890- 3 3.20000+ 1 6.48107- 5 1.35674- 3 4.10000+ 1 5.15323- 5 1.43251- 3 5.80000+ 1 4.51159- 6 1.48702- 3 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.00000+ 1 1.40583- 2 5.91500- 5 1.90000+ 1 3.20000+ 1 9.09943- 3 1.62340- 4 1.90000+ 1 3.30000+ 1 1.30206- 2 1.73570- 4 1.90000+ 1 3.50000+ 1 1.62560- 3 2.85320- 4 1.90000+ 1 3.60000+ 1 2.40032- 3 2.86850- 4 1.90000+ 1 4.10000+ 1 1.80689- 3 2.38110- 4 1.90000+ 1 4.30000+ 1 2.10206- 3 2.59160- 4 1.90000+ 1 4.40000+ 1 1.68454- 3 2.71800- 4 1.90000+ 1 4.60000+ 1 3.13134- 5 2.94150- 4 1.90000+ 1 4.70000+ 1 4.17144- 5 2.94870- 4 1.90000+ 1 5.80000+ 1 1.62901- 4 2.92620- 4 2.10000+ 1 2.40000+ 1 7.21823- 2 7.13100- 5 2.10000+ 1 2.50000+ 1 1.95326- 1 8.60900- 5 2.10000+ 1 2.70000+ 1 2.92961- 2 1.89260- 4 2.10000+ 1 2.90000+ 1 2.42618- 2 2.58760- 4 2.10000+ 1 3.00000+ 1 2.73363- 2 3.33910- 4 2.10000+ 1 3.20000+ 1 1.50809- 2 4.37100- 4 2.10000+ 1 3.30000+ 1 2.14282- 2 4.48330- 4 2.10000+ 1 3.50000+ 1 1.71158- 3 5.60080- 4 2.10000+ 1 3.60000+ 1 3.21725- 3 5.61610- 4 2.10000+ 1 4.10000+ 1 5.78782- 3 5.12870- 4 2.10000+ 1 4.30000+ 1 3.84383- 3 5.33920- 4 2.10000+ 1 4.40000+ 1 4.04763- 3 5.46560- 4 2.10000+ 1 4.60000+ 1 7.95863- 5 5.68910- 4 2.10000+ 1 4.70000+ 1 9.57463- 5 5.69630- 4 2.10000+ 1 5.80000+ 1 5.42261- 4 5.67380- 4 2.20000+ 1 2.40000+ 1 4.10600- 2 1.25510- 4 2.20000+ 1 2.50000+ 1 1.02422- 2 1.40290- 4 2.20000+ 1 2.70000+ 1 4.55279- 3 2.43460- 4 2.20000+ 1 2.90000+ 1 2.00020- 2 3.12960- 4 2.20000+ 1 3.00000+ 1 3.72496- 3 3.88110- 4 2.20000+ 1 3.20000+ 1 1.78044- 3 4.91300- 4 2.20000+ 1 3.30000+ 1 2.05454- 3 5.02530- 4 2.20000+ 1 3.50000+ 1 4.66201- 4 6.14280- 4 2.20000+ 1 3.60000+ 1 3.02730- 4 6.15810- 4 2.20000+ 1 4.10000+ 1 6.83030- 4 5.67070- 4 2.20000+ 1 4.30000+ 1 2.16796- 3 5.88120- 4 2.20000+ 1 4.40000+ 1 4.16021- 4 6.00760- 4 2.20000+ 1 4.60000+ 1 8.25212- 6 6.23110- 4 2.20000+ 1 4.70000+ 1 8.70431- 6 6.23830- 4 2.20000+ 1 5.80000+ 1 6.16093- 5 6.21580- 4 2.40000+ 1 2.40000+ 1 1.78171- 3 4.88700- 4 2.40000+ 1 2.50000+ 1 8.98926- 3 5.03480- 4 2.40000+ 1 2.70000+ 1 4.58645- 3 6.06650- 4 2.40000+ 1 2.90000+ 1 1.73936- 2 6.76150- 4 2.40000+ 1 3.00000+ 1 1.92066- 3 7.51300- 4 2.40000+ 1 3.20000+ 1 5.46468- 3 8.54490- 4 2.40000+ 1 3.30000+ 1 4.64217- 3 8.65720- 4 2.40000+ 1 3.50000+ 1 5.48964- 4 9.77470- 4 2.40000+ 1 3.60000+ 1 3.84013- 4 9.79000- 4 2.40000+ 1 4.10000+ 1 9.13366- 4 9.30260- 4 2.40000+ 1 4.30000+ 1 1.93011- 3 9.51310- 4 2.40000+ 1 4.40000+ 1 2.48023- 4 9.63950- 4 2.40000+ 1 4.60000+ 1 2.29480- 5 9.86300- 4 2.40000+ 1 4.70000+ 1 2.05738- 5 9.87020- 4 2.40000+ 1 5.80000+ 1 8.51271- 5 9.84770- 4 2.50000+ 1 2.50000+ 1 4.83616- 4 5.18260- 4 2.50000+ 1 2.70000+ 1 2.48497- 3 6.21430- 4 2.50000+ 1 2.90000+ 1 2.64506- 2 6.90930- 4 2.50000+ 1 3.00000+ 1 1.41078- 3 7.66080- 4 2.50000+ 1 3.20000+ 1 1.16647- 2 8.69270- 4 2.50000+ 1 3.30000+ 1 1.13962- 3 8.80500- 4 2.50000+ 1 3.50000+ 1 1.09198- 4 9.92250- 4 2.50000+ 1 3.60000+ 1 7.04310- 5 9.93780- 4 2.50000+ 1 4.10000+ 1 3.62197- 4 9.45040- 4 2.50000+ 1 4.30000+ 1 2.80392- 3 9.66090- 4 2.50000+ 1 4.40000+ 1 1.73189- 4 9.78730- 4 2.50000+ 1 4.60000+ 1 4.83827- 5 1.00108- 3 2.50000+ 1 4.70000+ 1 4.74768- 6 1.00180- 3 2.50000+ 1 5.80000+ 1 3.23314- 5 9.99550- 4 2.70000+ 1 2.70000+ 1 2.31330- 3 7.24600- 4 2.70000+ 1 2.90000+ 1 2.97615- 2 7.94100- 4 2.70000+ 1 3.00000+ 1 5.67098- 3 8.69250- 4 2.70000+ 1 3.20000+ 1 7.66922- 3 9.72440- 4 2.70000+ 1 3.30000+ 1 5.20157- 3 9.83670- 4 2.70000+ 1 3.50000+ 1 4.63780- 4 1.09542- 3 2.70000+ 1 3.60000+ 1 9.74708- 4 1.09695- 3 2.70000+ 1 4.10000+ 1 6.97576- 4 1.04821- 3 2.70000+ 1 4.30000+ 1 3.12394- 3 1.06926- 3 2.70000+ 1 4.40000+ 1 7.54105- 4 1.08190- 3 2.70000+ 1 4.60000+ 1 3.20506- 5 1.10425- 3 2.70000+ 1 4.70000+ 1 2.26241- 5 1.10497- 3 2.70000+ 1 5.80000+ 1 6.22139- 5 1.10272- 3 2.90000+ 1 2.90000+ 1 2.06535- 2 8.63600- 4 2.90000+ 1 3.00000+ 1 5.30412- 2 9.38750- 4 2.90000+ 1 3.20000+ 1 4.40076- 2 1.04194- 3 2.90000+ 1 3.30000+ 1 7.30911- 2 1.05317- 3 2.90000+ 1 3.50000+ 1 1.64743- 2 1.16492- 3 2.90000+ 1 3.60000+ 1 2.22506- 2 1.16645- 3 2.90000+ 1 4.10000+ 1 6.07442- 3 1.11771- 3 2.90000+ 1 4.30000+ 1 5.76324- 3 1.13876- 3 2.90000+ 1 4.40000+ 1 7.92408- 3 1.15140- 3 2.90000+ 1 4.60000+ 1 2.35227- 4 1.17375- 3 2.90000+ 1 4.70000+ 1 3.33881- 4 1.17447- 3 2.90000+ 1 5.80000+ 1 5.69109- 4 1.17222- 3 3.00000+ 1 3.00000+ 1 1.59116- 3 1.01390- 3 3.00000+ 1 3.20000+ 1 7.38304- 3 1.11709- 3 3.00000+ 1 3.30000+ 1 3.45667- 3 1.12832- 3 3.00000+ 1 3.50000+ 1 5.01589- 4 1.24007- 3 3.00000+ 1 3.60000+ 1 7.72141- 4 1.24160- 3 3.00000+ 1 4.10000+ 1 7.79590- 4 1.19286- 3 3.00000+ 1 4.30000+ 1 5.63392- 3 1.21391- 3 3.00000+ 1 4.40000+ 1 4.00142- 4 1.22655- 3 3.00000+ 1 4.60000+ 1 3.00584- 5 1.24890- 3 3.00000+ 1 4.70000+ 1 1.50291- 5 1.24962- 3 3.00000+ 1 5.80000+ 1 6.95099- 5 1.24737- 3 3.20000+ 1 3.20000+ 1 2.62153- 3 1.22028- 3 3.20000+ 1 3.30000+ 1 3.80795- 3 1.23151- 3 3.20000+ 1 3.50000+ 1 2.62323- 3 1.34326- 3 3.20000+ 1 3.60000+ 1 4.30862- 3 1.34479- 3 3.20000+ 1 4.10000+ 1 1.27617- 3 1.29605- 3 3.20000+ 1 4.30000+ 1 4.41400- 3 1.31710- 3 3.20000+ 1 4.40000+ 1 9.86037- 4 1.32974- 3 3.20000+ 1 4.60000+ 1 2.59034- 5 1.35209- 3 3.20000+ 1 4.70000+ 1 1.72690- 5 1.35281- 3 3.20000+ 1 5.80000+ 1 1.19154- 4 1.35056- 3 3.30000+ 1 3.30000+ 1 6.67764- 4 1.24274- 3 3.30000+ 1 3.50000+ 1 6.69507- 4 1.35449- 3 3.30000+ 1 3.60000+ 1 3.78591- 4 1.35602- 3 3.30000+ 1 4.10000+ 1 6.04698- 4 1.30728- 3 3.30000+ 1 4.30000+ 1 7.33865- 3 1.32833- 3 3.30000+ 1 4.40000+ 1 3.89103- 4 1.34097- 3 3.30000+ 1 4.60000+ 1 1.57747- 5 1.36332- 3 3.30000+ 1 4.70000+ 1 5.25814- 6 1.36404- 3 3.30000+ 1 5.80000+ 1 5.25814- 5 1.36179- 3 3.50000+ 1 3.50000+ 1 5.11180- 5 1.46624- 3 3.50000+ 1 3.60000+ 1 9.27677- 5 1.46777- 3 3.50000+ 1 4.10000+ 1 8.33048- 5 1.41903- 3 3.50000+ 1 4.30000+ 1 1.70581- 3 1.44008- 3 3.50000+ 1 4.40000+ 1 6.24760- 5 1.45272- 3 3.50000+ 1 4.60000+ 1 1.32533- 5 1.47507- 3 3.50000+ 1 4.70000+ 1 3.78648- 6 1.47579- 3 3.50000+ 1 5.80000+ 1 7.57282- 6 1.47354- 3 3.60000+ 1 3.60000+ 1 2.04857- 5 1.46930- 3 3.60000+ 1 4.10000+ 1 1.34086- 4 1.42056- 3 3.60000+ 1 4.30000+ 1 2.27566- 3 1.44161- 3 3.60000+ 1 4.40000+ 1 8.75272- 5 1.45425- 3 3.60000+ 1 4.60000+ 1 2.04857- 5 1.47660- 3 3.60000+ 1 4.70000+ 1 1.86227- 6 1.47732- 3 3.60000+ 1 5.80000+ 1 1.11735- 5 1.47507- 3 4.10000+ 1 4.10000+ 1 4.51185- 5 1.37182- 3 4.10000+ 1 4.30000+ 1 5.46257- 4 1.39287- 3 4.10000+ 1 4.40000+ 1 8.86269- 5 1.40551- 3 4.10000+ 1 4.60000+ 1 4.83409- 6 1.42786- 3 4.10000+ 1 4.70000+ 1 1.61137- 6 1.42858- 3 4.10000+ 1 5.80000+ 1 8.05673- 6 1.42633- 3 4.30000+ 1 4.30000+ 1 3.16073- 4 1.41392- 3 4.30000+ 1 4.40000+ 1 7.20429- 4 1.42656- 3 4.30000+ 1 4.60000+ 1 2.24625- 5 1.44891- 3 4.30000+ 1 4.70000+ 1 3.04847- 5 1.44963- 3 4.30000+ 1 5.80000+ 1 5.13429- 5 1.44738- 3 4.40000+ 1 4.40000+ 1 1.97585- 5 1.43920- 3 4.40000+ 1 4.60000+ 1 3.03985- 6 1.46155- 3 4.40000+ 1 4.70000+ 1 1.51993- 6 1.46227- 3 4.40000+ 1 5.80000+ 1 7.59954- 6 1.46002- 3 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.16480- 5 2.74760- 4 2.20000+ 1 1.88229- 4 3.28960- 4 2.70000+ 1 3.20829- 4 8.10100- 4 3.20000+ 1 3.74919- 5 1.05794- 3 3.30000+ 1 2.18539- 4 1.06917- 3 4.10000+ 1 6.32198- 5 1.13371- 3 5.80000+ 1 5.50788- 6 1.18822- 3 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.00000+ 1 4.82735- 2 3.51100- 5 2.10000+ 1 3.20000+ 1 1.82238- 2 1.38300- 4 2.10000+ 1 3.30000+ 1 2.72327- 2 1.49530- 4 2.10000+ 1 3.50000+ 1 2.63687- 3 2.61280- 4 2.10000+ 1 3.60000+ 1 2.35218- 3 2.62810- 4 2.10000+ 1 4.10000+ 1 3.98946- 3 2.14070- 4 2.10000+ 1 4.30000+ 1 2.89676- 3 2.35120- 4 2.10000+ 1 4.40000+ 1 6.02143- 3 2.47760- 4 2.10000+ 1 4.60000+ 1 8.77807- 5 2.70110- 4 2.10000+ 1 4.70000+ 1 1.09459- 4 2.70830- 4 2.10000+ 1 5.80000+ 1 3.65746- 4 2.68580- 4 2.20000+ 1 2.90000+ 1 1.25494- 1 1.41600- 5 2.20000+ 1 3.00000+ 1 1.30754- 1 8.93100- 5 2.20000+ 1 3.20000+ 1 1.17664- 1 1.92500- 4 2.20000+ 1 3.30000+ 1 1.40853- 1 2.03730- 4 2.20000+ 1 3.50000+ 1 7.85660- 3 3.15480- 4 2.20000+ 1 3.60000+ 1 9.98515- 3 3.17010- 4 2.20000+ 1 4.10000+ 1 2.26608- 2 2.68270- 4 2.20000+ 1 4.30000+ 1 2.02760- 2 2.89320- 4 2.20000+ 1 4.40000+ 1 1.81011- 2 3.01960- 4 2.20000+ 1 4.60000+ 1 5.66491- 4 3.24310- 4 2.20000+ 1 4.70000+ 1 6.05498- 4 3.25030- 4 2.20000+ 1 5.80000+ 1 2.08139- 3 3.22780- 4 2.40000+ 1 2.40000+ 1 1.00666- 3 1.89900- 4 2.40000+ 1 2.50000+ 1 2.71089- 3 2.04680- 4 2.40000+ 1 2.70000+ 1 9.77315- 3 3.07850- 4 2.40000+ 1 2.90000+ 1 4.98130- 3 3.77350- 4 2.40000+ 1 3.00000+ 1 5.33028- 2 4.52500- 4 2.40000+ 1 3.20000+ 1 2.15192- 3 5.55690- 4 2.40000+ 1 3.30000+ 1 7.63498- 3 5.66920- 4 2.40000+ 1 3.50000+ 1 6.06044- 4 6.78670- 4 2.40000+ 1 3.60000+ 1 6.03065- 4 6.80200- 4 2.40000+ 1 4.10000+ 1 1.17415- 3 6.31460- 4 2.40000+ 1 4.30000+ 1 7.01690- 4 6.52510- 4 2.40000+ 1 4.40000+ 1 5.27939- 3 6.65150- 4 2.40000+ 1 4.60000+ 1 1.00235- 5 6.87500- 4 2.40000+ 1 4.70000+ 1 2.65500- 5 6.88220- 4 2.40000+ 1 5.80000+ 1 1.02126- 4 6.85970- 4 2.50000+ 1 2.50000+ 1 3.36051- 3 2.19460- 4 2.50000+ 1 2.70000+ 1 2.29857- 2 3.22630- 4 2.50000+ 1 2.90000+ 1 1.78580- 2 3.92130- 4 2.50000+ 1 3.00000+ 1 6.47191- 2 4.67280- 4 2.50000+ 1 3.20000+ 1 1.60701- 3 5.70470- 4 2.50000+ 1 3.30000+ 1 1.10483- 2 5.81700- 4 2.50000+ 1 3.50000+ 1 2.44506- 3 6.93450- 4 2.50000+ 1 3.60000+ 1 3.02262- 3 6.94980- 4 2.50000+ 1 4.10000+ 1 3.38021- 3 6.46240- 4 2.50000+ 1 4.30000+ 1 2.65305- 3 6.67290- 4 2.50000+ 1 4.40000+ 1 6.47681- 3 6.79930- 4 2.50000+ 1 4.60000+ 1 8.94025- 6 7.02280- 4 2.50000+ 1 4.70000+ 1 4.03667- 5 7.03000- 4 2.50000+ 1 5.80000+ 1 3.03962- 4 7.00750- 4 2.70000+ 1 2.70000+ 1 5.39128- 5 4.25800- 4 2.70000+ 1 2.90000+ 1 2.69569- 4 4.95300- 4 2.70000+ 1 3.00000+ 1 4.99439- 3 5.70450- 4 2.70000+ 1 3.20000+ 1 4.60291- 4 6.73640- 4 2.70000+ 1 3.30000+ 1 7.65618- 4 6.84870- 4 2.70000+ 1 3.50000+ 1 1.77723- 4 7.96620- 4 2.70000+ 1 3.60000+ 1 1.78273- 4 7.98150- 4 2.70000+ 1 4.10000+ 1 2.24861- 5 7.49410- 4 2.70000+ 1 4.30000+ 1 2.95308- 5 7.70460- 4 2.70000+ 1 4.40000+ 1 4.73841- 4 7.83100- 4 2.70000+ 1 4.60000+ 1 2.16741- 6 8.05450- 4 2.70000+ 1 4.70000+ 1 2.70929- 6 8.06170- 4 2.70000+ 1 5.80000+ 1 2.16741- 6 8.03920- 4 2.90000+ 1 2.90000+ 1 4.60557- 6 5.64800- 4 2.90000+ 1 3.00000+ 1 5.76481- 3 6.39950- 4 2.90000+ 1 3.20000+ 1 2.61977- 4 7.43140- 4 2.90000+ 1 3.30000+ 1 7.04395- 4 7.54370- 4 2.90000+ 1 3.50000+ 1 1.40884- 4 8.66120- 4 2.90000+ 1 3.60000+ 1 3.22394- 4 8.67650- 4 2.90000+ 1 4.10000+ 1 4.79526- 5 8.18910- 4 2.90000+ 1 4.30000+ 1 6.77297- 6 8.39960- 4 2.90000+ 1 4.40000+ 1 5.62161- 4 8.52600- 4 2.90000+ 1 4.60000+ 1 1.08365- 6 8.74950- 4 2.90000+ 1 4.70000+ 1 2.43838- 6 8.75670- 4 2.90000+ 1 5.80000+ 1 4.60557- 6 8.73420- 4 3.00000+ 1 3.00000+ 1 7.21639- 3 7.15100- 4 3.00000+ 1 3.20000+ 1 8.79369- 3 8.18290- 4 3.00000+ 1 3.30000+ 1 1.16694- 2 8.29520- 4 3.00000+ 1 3.50000+ 1 3.07684- 3 9.41270- 4 3.00000+ 1 3.60000+ 1 3.68231- 3 9.42800- 4 3.00000+ 1 4.10000+ 1 1.01884- 3 8.94060- 4 3.00000+ 1 4.30000+ 1 9.50365- 4 9.15110- 4 3.00000+ 1 4.40000+ 1 1.78401- 3 9.27750- 4 3.00000+ 1 4.60000+ 1 4.65976- 5 9.50100- 4 3.00000+ 1 4.70000+ 1 5.31001- 5 9.50820- 4 3.00000+ 1 5.80000+ 1 9.53624- 5 9.48570- 4 3.20000+ 1 3.20000+ 1 1.70889- 4 9.21480- 4 3.20000+ 1 3.30000+ 1 1.02431- 3 9.32710- 4 3.20000+ 1 3.50000+ 1 6.78752- 5 1.04446- 3 3.20000+ 1 3.60000+ 1 1.33359- 4 1.04599- 3 3.20000+ 1 4.10000+ 1 6.30847- 5 9.97250- 4 3.20000+ 1 4.30000+ 1 4.33875- 5 1.01830- 3 3.20000+ 1 4.40000+ 1 8.51771- 4 1.03094- 3 3.20000+ 1 4.60000+ 1 1.59709- 6 1.05329- 3 3.20000+ 1 4.70000+ 1 3.72648- 6 1.05401- 3 3.20000+ 1 5.80000+ 1 5.58971- 6 1.05176- 3 3.30000+ 1 3.30000+ 1 9.94000- 4 9.43940- 4 3.30000+ 1 3.50000+ 1 2.32980- 4 1.05569- 3 3.30000+ 1 3.60000+ 1 3.19416- 4 1.05722- 3 3.30000+ 1 4.10000+ 1 1.49014- 4 1.00848- 3 3.30000+ 1 4.30000+ 1 1.22184- 4 1.02953- 3 3.30000+ 1 4.40000+ 1 1.16575- 3 1.04217- 3 3.30000+ 1 4.60000+ 1 4.87649- 6 1.06452- 3 3.30000+ 1 4.70000+ 1 7.85664- 6 1.06524- 3 3.30000+ 1 5.80000+ 1 1.38164- 5 1.06299- 3 3.50000+ 1 3.50000+ 1 4.50479- 6 1.16744- 3 3.50000+ 1 3.60000+ 1 2.44948- 5 1.16897- 3 3.50000+ 1 4.10000+ 1 2.33683- 5 1.12023- 3 3.50000+ 1 4.30000+ 1 8.44653- 6 1.14128- 3 3.50000+ 1 4.40000+ 1 3.04077- 4 1.15392- 3 3.50000+ 1 4.60000+ 1 2.81558- 7 1.17627- 3 3.50000+ 1 4.70000+ 1 8.44653- 7 1.17699- 3 3.50000+ 1 5.80000+ 1 1.97083- 6 1.17474- 3 3.60000+ 1 3.60000+ 1 1.47245- 5 1.17050- 3 3.60000+ 1 4.10000+ 1 2.41694- 5 1.12176- 3 3.60000+ 1 4.30000+ 1 1.91685- 5 1.14281- 3 3.60000+ 1 4.40000+ 1 3.57265- 4 1.15545- 3 3.60000+ 1 4.60000+ 1 5.55615- 7 1.17780- 3 3.60000+ 1 4.70000+ 1 1.11121- 6 1.17852- 3 3.60000+ 1 5.80000+ 1 1.94464- 6 1.17627- 3 4.10000+ 1 4.10000+ 1 2.53646- 7 1.07302- 3 4.10000+ 1 4.30000+ 1 3.29728- 6 1.09407- 3 4.10000+ 1 4.40000+ 1 9.05479- 5 1.10671- 3 4.10000+ 1 4.60000+ 1 2.53646- 7 1.12906- 3 4.10000+ 1 4.70000+ 1 5.07273- 7 1.12978- 3 4.30000+ 1 4.40000+ 1 8.61472- 5 1.12776- 3 4.30000+ 1 4.60000+ 1 2.52642- 7 1.15011- 3 4.30000+ 1 4.70000+ 1 5.05265- 7 1.15083- 3 4.30000+ 1 5.80000+ 1 2.52642- 7 1.14858- 3 4.40000+ 1 4.40000+ 1 8.80254- 5 1.14040- 3 4.40000+ 1 4.60000+ 1 3.88676- 6 1.16275- 3 4.40000+ 1 4.70000+ 1 4.34406- 6 1.16347- 3 4.40000+ 1 5.80000+ 1 7.77348- 6 1.16122- 3 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.93605- 4 4.17390- 4 2.90000+ 1 2.04321- 4 6.04840- 4 3.00000+ 1 2.19425- 5 6.79990- 4 3.50000+ 1 9.50857- 5 9.06160- 4 4.30000+ 1 3.37425- 5 8.80000- 4 4.40000+ 1 3.27275- 6 8.92640- 4 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.50000+ 1 3.71168- 3 4.07200- 5 2.20000+ 1 3.60000+ 1 4.57206- 3 4.22500- 5 2.20000+ 1 4.30000+ 1 1.36730- 3 1.45600- 5 2.20000+ 1 4.40000+ 1 3.07514- 3 2.72000- 5 2.20000+ 1 4.60000+ 1 4.19140- 4 4.95500- 5 2.20000+ 1 4.70000+ 1 7.32207- 5 5.02700- 5 2.20000+ 1 5.80000+ 1 2.22475- 4 4.80200- 5 2.40000+ 1 2.70000+ 1 1.22544- 1 3.30900- 5 2.40000+ 1 2.90000+ 1 1.10352- 1 1.02590- 4 2.40000+ 1 3.00000+ 1 1.24032- 1 1.77740- 4 2.40000+ 1 3.20000+ 1 1.27777- 1 2.80930- 4 2.40000+ 1 3.30000+ 1 1.33198- 1 2.92160- 4 2.40000+ 1 3.50000+ 1 5.77526- 3 4.03910- 4 2.40000+ 1 3.60000+ 1 4.67512- 3 4.05440- 4 2.40000+ 1 4.10000+ 1 2.42134- 2 3.56700- 4 2.40000+ 1 4.30000+ 1 1.82244- 2 3.77750- 4 2.40000+ 1 4.40000+ 1 1.79957- 2 3.90390- 4 2.40000+ 1 4.60000+ 1 5.70665- 4 4.12740- 4 2.40000+ 1 4.70000+ 1 5.72343- 4 4.13460- 4 2.40000+ 1 5.80000+ 1 2.28145- 3 4.11210- 4 2.50000+ 1 2.70000+ 1 8.54329- 3 4.78700- 5 2.50000+ 1 2.90000+ 1 1.83335- 2 1.17370- 4 2.50000+ 1 3.00000+ 1 8.10055- 3 1.92520- 4 2.50000+ 1 3.20000+ 1 1.35377- 1 2.95710- 4 2.50000+ 1 3.30000+ 1 5.67939- 3 3.06940- 4 2.50000+ 1 3.50000+ 1 1.68288- 3 4.18690- 4 2.50000+ 1 3.60000+ 1 5.19831- 4 4.20220- 4 2.50000+ 1 4.10000+ 1 1.22516- 3 3.71480- 4 2.50000+ 1 4.30000+ 1 1.82506- 3 3.92530- 4 2.50000+ 1 4.40000+ 1 8.83765- 4 4.05170- 4 2.50000+ 1 4.60000+ 1 5.36086- 4 4.27520- 4 2.50000+ 1 4.70000+ 1 2.29287- 5 4.28240- 4 2.50000+ 1 5.80000+ 1 1.10893- 4 4.25990- 4 2.70000+ 1 2.70000+ 1 8.49519- 4 1.51040- 4 2.70000+ 1 2.90000+ 1 2.12389- 3 2.20540- 4 2.70000+ 1 3.00000+ 1 1.50486- 3 2.95690- 4 2.70000+ 1 3.20000+ 1 1.20652- 2 3.98880- 4 2.70000+ 1 3.30000+ 1 1.75067- 3 4.10110- 4 2.70000+ 1 3.50000+ 1 1.41889- 3 5.21860- 4 2.70000+ 1 3.60000+ 1 1.18466- 3 5.23390- 4 2.70000+ 1 4.10000+ 1 1.99669- 4 4.74650- 4 2.70000+ 1 4.30000+ 1 2.32169- 4 4.95700- 4 2.70000+ 1 4.40000+ 1 1.76744- 4 5.08340- 4 2.70000+ 1 4.60000+ 1 4.54363- 5 5.30690- 4 2.70000+ 1 4.70000+ 1 5.41897- 6 5.31410- 4 2.70000+ 1 5.80000+ 1 1.79241- 5 5.29160- 4 2.90000+ 1 2.90000+ 1 5.19382- 4 2.90040- 4 2.90000+ 1 3.00000+ 1 1.96491- 3 3.65190- 4 2.90000+ 1 3.20000+ 1 8.75340- 3 4.68380- 4 2.90000+ 1 3.30000+ 1 9.40798- 4 4.79610- 4 2.90000+ 1 3.50000+ 1 1.99256- 4 5.91360- 4 2.90000+ 1 3.60000+ 1 1.81324- 4 5.92890- 4 2.90000+ 1 4.10000+ 1 1.61736- 4 5.44150- 4 2.90000+ 1 4.30000+ 1 1.18384- 4 5.65200- 4 2.90000+ 1 4.40000+ 1 1.66308- 4 5.77840- 4 2.90000+ 1 4.60000+ 1 3.37638- 5 6.00190- 4 2.90000+ 1 4.70000+ 1 4.16833- 6 6.00910- 4 2.90000+ 1 5.80000+ 1 1.45890- 5 5.98660- 4 3.00000+ 1 3.00000+ 1 6.67401- 4 4.40340- 4 3.00000+ 1 3.20000+ 1 1.77124- 2 5.43530- 4 3.00000+ 1 3.30000+ 1 1.49407- 3 5.54760- 4 3.00000+ 1 3.50000+ 1 5.51934- 4 6.66510- 4 3.00000+ 1 3.60000+ 1 3.17664- 4 6.68040- 4 3.00000+ 1 4.10000+ 1 7.33692- 5 6.19300- 4 3.00000+ 1 4.30000+ 1 1.47569- 4 6.40350- 4 3.00000+ 1 4.40000+ 1 1.21727- 4 6.52990- 4 3.00000+ 1 4.60000+ 1 6.92005- 5 6.75340- 4 3.00000+ 1 4.70000+ 1 5.41929- 6 6.76060- 4 3.00000+ 1 5.80000+ 1 6.25295- 6 6.73810- 4 3.20000+ 1 3.20000+ 1 1.15284- 2 6.46720- 4 3.20000+ 1 3.30000+ 1 2.23818- 2 6.57950- 4 3.20000+ 1 3.50000+ 1 5.29660- 3 7.69700- 4 3.20000+ 1 3.60000+ 1 7.23834- 3 7.71230- 4 3.20000+ 1 4.10000+ 1 1.93834- 3 7.22490- 4 3.20000+ 1 4.30000+ 1 1.47984- 3 7.43540- 4 3.20000+ 1 4.40000+ 1 2.51995- 3 7.56180- 4 3.20000+ 1 4.60000+ 1 1.06297- 4 7.78530- 4 3.20000+ 1 4.70000+ 1 1.00876- 4 7.79250- 4 3.20000+ 1 5.80000+ 1 1.79665- 4 7.77000- 4 3.30000+ 1 3.30000+ 1 3.61916- 4 6.69180- 4 3.30000+ 1 3.50000+ 1 5.84328- 4 7.80930- 4 3.30000+ 1 3.60000+ 1 1.98496- 4 7.82460- 4 3.30000+ 1 4.10000+ 1 7.05501- 5 7.33720- 4 3.30000+ 1 4.30000+ 1 7.85210- 5 7.54770- 4 3.30000+ 1 4.40000+ 1 1.34721- 4 7.67410- 4 3.30000+ 1 4.60000+ 1 8.41023- 5 7.89760- 4 3.30000+ 1 4.70000+ 1 2.79008- 6 7.90480- 4 3.30000+ 1 5.80000+ 1 6.37734- 6 7.88230- 4 3.50000+ 1 3.50000+ 1 5.66414- 5 8.92680- 4 3.50000+ 1 3.60000+ 1 1.06798- 4 8.94210- 4 3.50000+ 1 4.10000+ 1 8.38813- 5 8.45470- 4 3.50000+ 1 4.30000+ 1 3.37252- 5 8.66520- 4 3.50000+ 1 4.40000+ 1 6.52891- 5 8.79160- 4 3.50000+ 1 4.60000+ 1 2.11855- 5 9.01510- 4 3.50000+ 1 4.70000+ 1 2.59423- 6 9.02230- 4 3.50000+ 1 5.80000+ 1 6.48563- 6 8.99980- 4 3.60000+ 1 3.60000+ 1 1.11549- 5 8.95740- 4 3.60000+ 1 4.10000+ 1 4.80823- 5 8.47000- 4 3.60000+ 1 4.30000+ 1 2.38495- 5 8.68050- 4 3.60000+ 1 4.40000+ 1 2.88497- 5 8.80690- 4 3.60000+ 1 4.60000+ 1 2.57724- 5 9.03040- 4 3.60000+ 1 4.70000+ 1 7.69312- 7 9.03760- 4 3.60000+ 1 5.80000+ 1 3.46194- 6 9.01510- 4 4.10000+ 1 4.10000+ 1 4.20729- 6 7.98260- 4 4.10000+ 1 4.30000+ 1 8.73797- 6 8.19310- 4 4.10000+ 1 4.40000+ 1 5.82544- 6 8.31950- 4 4.10000+ 1 4.60000+ 1 5.82544- 6 8.54300- 4 4.10000+ 1 4.70000+ 1 3.23636- 7 8.55020- 4 4.10000+ 1 5.80000+ 1 6.47264- 7 8.52770- 4 4.30000+ 1 4.30000+ 1 1.37078- 6 8.40360- 4 4.30000+ 1 4.40000+ 1 7.95053- 6 8.53000- 4 4.30000+ 1 4.60000+ 1 3.83823- 6 8.75350- 4 4.30000+ 1 4.70000+ 1 2.74162- 7 8.76070- 4 4.30000+ 1 5.80000+ 1 5.48317- 7 8.73820- 4 4.40000+ 1 4.40000+ 1 1.98763- 6 8.65640- 4 4.40000+ 1 4.60000+ 1 3.66919- 6 8.87990- 4 4.40000+ 1 4.70000+ 1 1.52894- 7 8.88710- 4 4.40000+ 1 5.80000+ 1 1.52894- 7 8.86460- 4 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.71704- 5 3.63190- 4 2.50000+ 1 3.97794- 4 3.77970- 4 3.00000+ 1 1.60925- 4 6.25790- 4 3.50000+ 1 6.23725- 6 8.51960- 4 3.60000+ 1 1.03399- 4 8.53490- 4 4.40000+ 1 2.40058- 5 8.38440- 4 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.70000+ 1 8.37534- 3 0.00000+ 0 2.40000+ 1 2.90000+ 1 8.29683- 3 4.83900- 5 2.40000+ 1 3.00000+ 1 1.55736- 2 1.23540- 4 2.40000+ 1 3.20000+ 1 7.66208- 3 2.26730- 4 2.40000+ 1 3.30000+ 1 1.06244- 1 2.37960- 4 2.40000+ 1 3.50000+ 1 8.14488- 4 3.49710- 4 2.40000+ 1 3.60000+ 1 9.20611- 4 3.51240- 4 2.40000+ 1 4.10000+ 1 2.05738- 3 3.02500- 4 2.40000+ 1 4.30000+ 1 1.34096- 3 3.23550- 4 2.40000+ 1 4.40000+ 1 1.78232- 3 3.36190- 4 2.40000+ 1 5.80000+ 1 1.71858- 4 3.57010- 4 2.50000+ 1 2.70000+ 1 1.10121- 1 0.00000+ 0 2.50000+ 1 2.90000+ 1 1.22715- 1 6.31700- 5 2.50000+ 1 3.00000+ 1 1.09009- 1 1.38320- 4 2.50000+ 1 3.20000+ 1 1.09760- 1 2.41510- 4 2.50000+ 1 3.30000+ 1 1.95300- 1 2.52740- 4 2.50000+ 1 3.50000+ 1 3.73685- 3 3.64490- 4 2.50000+ 1 3.60000+ 1 6.73166- 3 3.66020- 4 2.50000+ 1 4.10000+ 1 2.24067- 2 3.17280- 4 2.50000+ 1 4.30000+ 1 1.90764- 2 3.38330- 4 2.50000+ 1 4.40000+ 1 1.52857- 2 3.50970- 4 2.50000+ 1 5.80000+ 1 1.90472- 3 3.71790- 4 2.70000+ 1 2.70000+ 1 1.64937- 3 9.68400- 5 2.70000+ 1 2.90000+ 1 2.40168- 3 1.66340- 4 2.70000+ 1 3.00000+ 1 3.39981- 3 2.41490- 4 2.70000+ 1 3.20000+ 1 2.97043- 3 3.44680- 4 2.70000+ 1 3.30000+ 1 1.50765- 2 3.55910- 4 2.70000+ 1 3.50000+ 1 1.27877- 3 4.67660- 4 2.70000+ 1 3.60000+ 1 1.96609- 3 4.69190- 4 2.70000+ 1 4.10000+ 1 3.66711- 4 4.20450- 4 2.70000+ 1 4.30000+ 1 2.67306- 4 4.41500- 4 2.70000+ 1 4.40000+ 1 3.75663- 4 4.54140- 4 2.70000+ 1 5.80000+ 1 2.95517- 5 4.74960- 4 2.90000+ 1 2.90000+ 1 3.32191- 4 2.35840- 4 2.90000+ 1 3.00000+ 1 3.82808- 3 3.10990- 4 2.90000+ 1 3.20000+ 1 5.94905- 4 4.14180- 4 2.90000+ 1 3.30000+ 1 1.35212- 2 4.25410- 4 2.90000+ 1 3.50000+ 1 1.95485- 4 5.37160- 4 2.90000+ 1 3.60000+ 1 4.08773- 4 5.38690- 4 2.90000+ 1 4.10000+ 1 1.61638- 4 4.89950- 4 2.90000+ 1 4.30000+ 1 7.43639- 5 5.11000- 4 2.90000+ 1 4.40000+ 1 3.10811- 4 5.23640- 4 2.90000+ 1 5.80000+ 1 1.24679- 5 5.44460- 4 3.00000+ 1 3.00000+ 1 1.21702- 3 3.86140- 4 3.00000+ 1 3.20000+ 1 2.32228- 3 4.89330- 4 3.00000+ 1 3.30000+ 1 1.72540- 2 5.00560- 4 3.00000+ 1 3.50000+ 1 3.89511- 4 6.12310- 4 3.00000+ 1 3.60000+ 1 5.12648- 4 6.13840- 4 3.00000+ 1 4.10000+ 1 1.07419- 4 5.65100- 4 3.00000+ 1 4.30000+ 1 1.60700- 4 5.86150- 4 3.00000+ 1 4.40000+ 1 2.13963- 4 5.98790- 4 3.00000+ 1 5.80000+ 1 7.42329- 6 6.19610- 4 3.20000+ 1 3.20000+ 1 1.46800- 4 5.92520- 4 3.20000+ 1 3.30000+ 1 1.70482- 2 6.03750- 4 3.20000+ 1 3.50000+ 1 1.32033- 4 7.15500- 4 3.20000+ 1 3.60000+ 1 4.91208- 4 7.17030- 4 3.20000+ 1 4.10000+ 1 7.47020- 5 6.68290- 4 3.20000+ 1 4.30000+ 1 5.03806- 5 6.89340- 4 3.20000+ 1 4.40000+ 1 2.21946- 4 7.01980- 4 3.20000+ 1 5.80000+ 1 5.64620- 6 7.22800- 4 3.30000+ 1 3.30000+ 1 2.00850- 2 6.14980- 4 3.30000+ 1 3.50000+ 1 5.89957- 3 7.26730- 4 3.30000+ 1 3.60000+ 1 6.92491- 3 7.28260- 4 3.30000+ 1 4.10000+ 1 2.14525- 3 6.79520- 4 3.30000+ 1 4.30000+ 1 2.00488- 3 7.00570- 4 3.30000+ 1 4.40000+ 1 2.53416- 3 7.13210- 4 3.30000+ 1 5.80000+ 1 1.80120- 4 7.34030- 4 3.50000+ 1 3.50000+ 1 1.33700- 5 8.38480- 4 3.50000+ 1 3.60000+ 1 1.01147- 4 8.40010- 4 3.50000+ 1 4.10000+ 1 7.26625- 5 7.91270- 4 3.50000+ 1 4.30000+ 1 2.49971- 5 8.12320- 4 3.50000+ 1 4.40000+ 1 4.41802- 5 8.24960- 4 3.50000+ 1 5.80000+ 1 5.23184- 6 8.45780- 4 3.60000+ 1 3.60000+ 1 8.04635- 5 8.41540- 4 3.60000+ 1 4.10000+ 1 1.20969- 4 7.92800- 4 3.60000+ 1 4.30000+ 1 4.43941- 5 8.13850- 4 3.60000+ 1 4.40000+ 1 6.76984- 5 8.26490- 4 3.60000+ 1 5.80000+ 1 8.32370- 6 8.47310- 4 4.10000+ 1 4.10000+ 1 1.04572- 5 7.44060- 4 4.10000+ 1 4.30000+ 1 1.35064- 5 7.65110- 4 4.10000+ 1 4.40000+ 1 1.26365- 5 7.77750- 4 4.10000+ 1 5.80000+ 1 1.74275- 6 7.98570- 4 4.30000+ 1 4.30000+ 1 2.76853- 6 7.86160- 4 4.30000+ 1 4.40000+ 1 1.52275- 5 7.98800- 4 4.30000+ 1 5.80000+ 1 9.22867- 7 8.19620- 4 4.40000+ 1 4.40000+ 1 1.08554- 5 8.11440- 4 4.40000+ 1 5.80000+ 1 9.04600- 7 8.32260- 4 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.31722- 4 3.65790- 4 3.30000+ 1 8.21319- 6 3.77020- 4 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 3.50000+ 1 1.94375- 1 1.30000- 6 2.50000+ 1 3.60000+ 1 1.24154- 2 2.83000- 6 2.50000+ 1 4.60000+ 1 3.17429- 4 1.01300- 5 2.50000+ 1 4.70000+ 1 3.29305- 4 1.08500- 5 2.50000+ 1 5.80000+ 1 4.92473- 4 8.60000- 6 2.70000+ 1 3.50000+ 1 5.29913- 2 1.04470- 4 2.70000+ 1 3.60000+ 1 1.00425- 2 1.06000- 4 2.70000+ 1 4.10000+ 1 1.10068- 3 5.72600- 5 2.70000+ 1 4.30000+ 1 1.44407- 3 7.83100- 5 2.70000+ 1 4.40000+ 1 3.18307- 3 9.09500- 5 2.70000+ 1 4.60000+ 1 3.96241- 5 1.13300- 4 2.70000+ 1 4.70000+ 1 5.72346- 5 1.14020- 4 2.70000+ 1 5.80000+ 1 7.92484- 5 1.11770- 4 2.90000+ 1 3.20000+ 1 2.86229- 2 5.09900- 5 2.90000+ 1 3.30000+ 1 6.32803- 2 6.22200- 5 2.90000+ 1 3.50000+ 1 5.25119- 2 1.73970- 4 2.90000+ 1 3.60000+ 1 1.24074- 2 1.75500- 4 2.90000+ 1 4.10000+ 1 9.53200- 3 1.26760- 4 2.90000+ 1 4.30000+ 1 5.33616- 3 1.47810- 4 2.90000+ 1 4.40000+ 1 8.38715- 3 1.60450- 4 2.90000+ 1 4.60000+ 1 4.93111- 4 1.82800- 4 2.90000+ 1 4.70000+ 1 5.19531- 4 1.83520- 4 2.90000+ 1 5.80000+ 1 8.18920- 4 1.81270- 4 3.00000+ 1 3.00000+ 1 1.02596- 2 2.29500- 5 3.00000+ 1 3.20000+ 1 6.31933- 2 1.26140- 4 3.00000+ 1 3.30000+ 1 4.70350- 2 1.37370- 4 3.00000+ 1 3.50000+ 1 7.64233- 2 2.49120- 4 3.00000+ 1 3.60000+ 1 4.47709- 3 2.50650- 4 3.00000+ 1 4.10000+ 1 3.47973- 3 2.01910- 4 3.00000+ 1 4.30000+ 1 2.35410- 3 2.22960- 4 3.00000+ 1 4.40000+ 1 1.65216- 3 2.35600- 4 3.00000+ 1 4.60000+ 1 1.84052- 4 2.57950- 4 3.00000+ 1 4.70000+ 1 1.24123- 4 2.58670- 4 3.00000+ 1 5.80000+ 1 2.56809- 4 2.56420- 4 3.20000+ 1 3.20000+ 1 8.60729- 3 2.29330- 4 3.20000+ 1 3.30000+ 1 1.84118- 2 2.40560- 4 3.20000+ 1 3.50000+ 1 7.05092- 2 3.52310- 4 3.20000+ 1 3.60000+ 1 9.84438- 3 3.53840- 4 3.20000+ 1 4.10000+ 1 1.16665- 3 3.05100- 4 3.20000+ 1 4.30000+ 1 5.58250- 3 3.26150- 4 3.20000+ 1 4.40000+ 1 3.85683- 3 3.38790- 4 3.20000+ 1 4.60000+ 1 6.60399- 5 3.61140- 4 3.20000+ 1 4.70000+ 1 7.04431- 5 3.61860- 4 3.20000+ 1 5.80000+ 1 1.14472- 4 3.59610- 4 3.30000+ 1 3.30000+ 1 4.53016- 3 2.51790- 4 3.30000+ 1 3.50000+ 1 1.02657- 1 3.63540- 4 3.30000+ 1 3.60000+ 1 2.98928- 3 3.65070- 4 3.30000+ 1 4.10000+ 1 1.13144- 3 3.16330- 4 3.30000+ 1 4.30000+ 1 4.08996- 3 3.37380- 4 3.30000+ 1 4.40000+ 1 2.17923- 3 3.50020- 4 3.30000+ 1 4.60000+ 1 6.60369- 5 3.72370- 4 3.30000+ 1 4.70000+ 1 3.52204- 5 3.73090- 4 3.30000+ 1 5.80000+ 1 1.01257- 4 3.70840- 4 3.50000+ 1 3.50000+ 1 2.03101- 2 4.75290- 4 3.50000+ 1 3.60000+ 1 4.10805- 2 4.76820- 4 3.50000+ 1 4.10000+ 1 9.53085- 3 4.28080- 4 3.50000+ 1 4.30000+ 1 8.39796- 3 4.49130- 4 3.50000+ 1 4.40000+ 1 1.16426- 2 4.61770- 4 3.50000+ 1 4.60000+ 1 3.66735- 4 4.84120- 4 3.50000+ 1 4.70000+ 1 4.73526- 4 4.84840- 4 3.50000+ 1 5.80000+ 1 8.77404- 4 4.82590- 4 3.60000+ 1 3.60000+ 1 3.52487- 4 4.78350- 4 3.60000+ 1 4.10000+ 1 2.74159- 4 4.29610- 4 3.60000+ 1 4.30000+ 1 9.05139- 4 4.50660- 4 3.60000+ 1 4.40000+ 1 3.52487- 4 4.63300- 4 3.60000+ 1 4.60000+ 1 2.17586- 5 4.85650- 4 3.60000+ 1 4.70000+ 1 8.70322- 6 4.86370- 4 3.60000+ 1 5.80000+ 1 2.17586- 5 4.84120- 4 4.10000+ 1 4.10000+ 1 3.61228- 5 3.80870- 4 4.10000+ 1 4.30000+ 1 3.45173- 4 4.01920- 4 4.10000+ 1 4.40000+ 1 2.32788- 4 4.14560- 4 4.10000+ 1 4.60000+ 1 4.01369- 6 4.36910- 4 4.10000+ 1 4.70000+ 1 4.01369- 6 4.37630- 4 4.10000+ 1 5.80000+ 1 8.02719- 6 4.35380- 4 4.30000+ 1 4.30000+ 1 1.16449- 4 4.22970- 4 4.30000+ 1 4.40000+ 1 1.66909- 4 4.35610- 4 4.30000+ 1 4.60000+ 1 1.55259- 5 4.57960- 4 4.30000+ 1 4.70000+ 1 1.16449- 5 4.58680- 4 4.30000+ 1 5.80000+ 1 2.71699- 5 4.56430- 4 4.40000+ 1 4.40000+ 1 2.55522- 5 4.48250- 4 4.40000+ 1 4.60000+ 1 8.51762- 6 4.70600- 4 4.40000+ 1 4.70000+ 1 2.83916- 6 4.71320- 4 4.40000+ 1 5.80000+ 1 1.41958- 5 4.69070- 4 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 1.55921- 4 3.62240- 4 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 3.50000+ 1 8.14939- 3 8.96900- 5 2.70000+ 1 3.60000+ 1 6.05463- 2 9.12200- 5 2.70000+ 1 4.10000+ 1 1.34257- 3 4.24800- 5 2.70000+ 1 4.30000+ 1 2.55683- 3 6.35300- 5 2.70000+ 1 4.40000+ 1 2.42852- 3 7.61700- 5 2.70000+ 1 4.60000+ 1 6.91049- 5 9.85200- 5 2.70000+ 1 4.70000+ 1 6.91049- 5 9.92400- 5 2.70000+ 1 5.80000+ 1 9.37842- 5 9.69900- 5 2.90000+ 1 3.20000+ 1 4.16210- 3 3.62100- 5 2.90000+ 1 3.30000+ 1 8.16334- 3 4.74400- 5 2.90000+ 1 3.50000+ 1 7.01803- 4 1.59190- 4 2.90000+ 1 3.60000+ 1 5.33077- 2 1.60720- 4 2.90000+ 1 4.10000+ 1 2.67564- 3 1.11980- 4 2.90000+ 1 4.30000+ 1 6.09200- 4 1.33030- 4 2.90000+ 1 4.40000+ 1 9.25991- 4 1.45670- 4 2.90000+ 1 4.60000+ 1 7.31051- 5 1.68020- 4 2.90000+ 1 4.70000+ 1 7.31051- 5 1.68740- 4 2.90000+ 1 5.80000+ 1 2.09578- 4 1.66490- 4 3.00000+ 1 3.00000+ 1 1.38158- 2 8.17000- 6 3.00000+ 1 3.20000+ 1 1.12356- 1 1.11360- 4 3.00000+ 1 3.30000+ 1 2.28226- 1 1.22590- 4 3.00000+ 1 3.50000+ 1 1.48085- 2 2.34340- 4 3.00000+ 1 3.60000+ 1 9.89579- 2 2.35870- 4 3.00000+ 1 4.10000+ 1 8.04075- 3 1.87130- 4 3.00000+ 1 4.30000+ 1 2.83820- 3 2.08180- 4 3.00000+ 1 4.40000+ 1 6.83159- 3 2.20820- 4 3.00000+ 1 4.60000+ 1 3.35643- 4 2.43170- 4 3.00000+ 1 4.70000+ 1 5.82466- 4 2.43890- 4 3.00000+ 1 5.80000+ 1 6.51550- 4 2.41640- 4 3.20000+ 1 3.20000+ 1 1.99482- 3 2.14550- 4 3.20000+ 1 3.30000+ 1 2.09082- 2 2.25780- 4 3.20000+ 1 3.50000+ 1 2.08795- 3 3.37530- 4 3.20000+ 1 3.60000+ 1 8.23715- 2 3.39060- 4 3.20000+ 1 4.10000+ 1 1.05863- 3 2.90320- 4 3.20000+ 1 4.30000+ 1 1.05863- 3 3.11370- 4 3.20000+ 1 4.40000+ 1 3.72474- 3 3.24010- 4 3.20000+ 1 4.60000+ 1 1.47035- 5 3.46360- 4 3.20000+ 1 4.70000+ 1 6.86151- 5 3.47080- 4 3.20000+ 1 5.80000+ 1 9.31195- 5 3.44830- 4 3.30000+ 1 3.30000+ 1 1.30981- 2 2.37010- 4 3.30000+ 1 3.50000+ 1 9.89488- 3 3.48760- 4 3.30000+ 1 3.60000+ 1 1.10968- 1 3.50290- 4 3.30000+ 1 4.10000+ 1 1.54764- 3 3.01550- 4 3.30000+ 1 4.30000+ 1 1.88435- 3 3.22600- 4 3.30000+ 1 4.40000+ 1 7.81113- 3 3.35240- 4 3.30000+ 1 4.60000+ 1 9.27579- 5 3.57590- 4 3.30000+ 1 4.70000+ 1 9.27579- 5 3.58310- 4 3.30000+ 1 5.80000+ 1 1.41579- 4 3.56060- 4 3.50000+ 1 3.50000+ 1 2.88625- 4 4.60510- 4 3.50000+ 1 3.60000+ 1 3.82506- 2 4.62040- 4 3.50000+ 1 4.10000+ 1 3.21284- 4 4.13300- 4 3.50000+ 1 4.30000+ 1 7.62382- 5 4.34350- 4 3.50000+ 1 4.40000+ 1 1.17624- 3 4.46990- 4 3.50000+ 1 4.60000+ 1 1.08909- 5 4.69340- 4 3.50000+ 1 4.70000+ 1 2.72268- 5 4.70060- 4 3.50000+ 1 5.80000+ 1 2.72268- 5 4.67810- 4 3.60000+ 1 3.60000+ 1 3.16535- 2 4.63570- 4 3.60000+ 1 4.10000+ 1 1.04569- 2 4.14830- 4 3.60000+ 1 4.30000+ 1 8.85085- 3 4.35880- 4 3.60000+ 1 4.40000+ 1 1.33958- 2 4.48520- 4 3.60000+ 1 4.60000+ 1 4.33613- 4 4.70870- 4 3.60000+ 1 4.70000+ 1 4.94822- 4 4.71590- 4 3.60000+ 1 5.80000+ 1 9.59040- 4 4.69340- 4 4.10000+ 1 4.10000+ 1 3.58345- 5 3.66090- 4 4.10000+ 1 4.30000+ 1 1.79164- 4 3.87140- 4 4.10000+ 1 4.40000+ 1 3.85208- 4 3.99780- 4 4.10000+ 1 4.60000+ 1 4.47935- 6 4.22130- 4 4.10000+ 1 4.70000+ 1 4.47935- 6 4.22850- 4 4.10000+ 1 5.80000+ 1 4.47935- 6 4.20600- 4 4.30000+ 1 4.30000+ 1 1.71756- 5 4.08190- 4 4.30000+ 1 4.40000+ 1 1.03055- 4 4.20830- 4 4.30000+ 1 4.60000+ 1 4.29413- 6 4.43180- 4 4.30000+ 1 4.70000+ 1 4.29413- 6 4.43900- 4 4.30000+ 1 5.80000+ 1 1.28824- 5 4.41650- 4 4.40000+ 1 4.40000+ 1 1.04059- 4 4.33470- 4 4.40000+ 1 4.60000+ 1 7.43277- 6 4.55820- 4 4.40000+ 1 4.70000+ 1 1.48653- 5 4.56540- 4 4.40000+ 1 5.80000+ 1 2.60142- 5 4.54290- 4 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.31857- 6 6.95000- 5 3.00000+ 1 2.44617- 5 1.44650- 4 4.30000+ 1 3.29638- 6 3.44660- 4 4.40000+ 1 5.47737- 8 3.57300- 4 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.50000+ 1 4.66519- 2 5.60200- 5 2.90000+ 1 3.60000+ 1 8.07608- 2 5.75500- 5 2.90000+ 1 4.10000+ 1 2.17675- 2 8.81000- 6 2.90000+ 1 4.30000+ 1 1.49890- 2 2.98600- 5 2.90000+ 1 4.40000+ 1 2.64540- 2 4.25000- 5 2.90000+ 1 4.60000+ 1 5.79287- 4 6.48500- 5 2.90000+ 1 4.70000+ 1 1.08609- 3 6.55700- 5 2.90000+ 1 5.80000+ 1 1.95281- 3 6.33200- 5 3.00000+ 1 3.20000+ 1 1.60757- 1 8.19000- 6 3.00000+ 1 3.30000+ 1 1.55779- 1 1.94200- 5 3.00000+ 1 3.50000+ 1 1.11020- 1 1.31170- 4 3.00000+ 1 3.60000+ 1 1.04123- 1 1.32700- 4 3.00000+ 1 4.10000+ 1 1.95211- 2 8.39600- 5 3.00000+ 1 4.30000+ 1 1.97961- 2 1.05010- 4 3.00000+ 1 4.40000+ 1 1.68258- 2 1.17650- 4 3.00000+ 1 4.60000+ 1 8.35813- 4 1.40000- 4 3.00000+ 1 4.70000+ 1 7.34576- 4 1.40720- 4 3.00000+ 1 5.80000+ 1 1.76274- 3 1.38470- 4 3.20000+ 1 3.20000+ 1 1.54548- 3 1.11380- 4 3.20000+ 1 3.30000+ 1 1.14556- 1 1.22610- 4 3.20000+ 1 3.50000+ 1 2.81252- 3 2.34360- 4 3.20000+ 1 3.60000+ 1 1.00322- 2 2.35890- 4 3.20000+ 1 4.10000+ 1 5.90167- 3 1.87150- 4 3.20000+ 1 4.30000+ 1 1.22497- 3 2.08200- 4 3.20000+ 1 4.40000+ 1 4.59710- 3 2.20840- 4 3.20000+ 1 4.60000+ 1 2.67631- 5 2.43190- 4 3.20000+ 1 4.70000+ 1 1.85796- 4 2.43910- 4 3.20000+ 1 5.80000+ 1 4.38655- 4 2.41660- 4 3.30000+ 1 3.30000+ 1 2.75467- 2 1.33840- 4 3.30000+ 1 3.50000+ 1 1.13930- 2 2.45590- 4 3.30000+ 1 3.60000+ 1 7.69595- 3 2.47120- 4 3.30000+ 1 4.10000+ 1 8.29283- 3 1.98380- 4 3.30000+ 1 4.30000+ 1 3.69715- 3 2.19430- 4 3.30000+ 1 4.40000+ 1 3.00492- 3 2.32070- 4 3.30000+ 1 4.60000+ 1 1.96020- 4 2.54420- 4 3.30000+ 1 4.70000+ 1 1.05926- 4 2.55140- 4 3.30000+ 1 5.80000+ 1 6.13926- 4 2.52890- 4 3.50000+ 1 3.50000+ 1 3.01045- 5 3.57340- 4 3.50000+ 1 3.60000+ 1 1.07851- 3 3.58870- 4 3.50000+ 1 4.10000+ 1 2.23053- 3 3.10130- 4 3.50000+ 1 4.30000+ 1 1.99248- 4 3.31180- 4 3.50000+ 1 4.40000+ 1 6.22298- 4 3.43820- 4 3.50000+ 1 4.60000+ 1 6.80821- 6 3.66170- 4 3.50000+ 1 4.70000+ 1 2.23390- 5 3.66890- 4 3.50000+ 1 5.80000+ 1 1.51799- 4 3.64640- 4 3.60000+ 1 3.60000+ 1 1.75035- 4 3.60400- 4 3.60000+ 1 4.10000+ 1 2.66071- 3 3.11660- 4 3.60000+ 1 4.30000+ 1 4.69210- 4 3.32710- 4 3.60000+ 1 4.40000+ 1 3.67134- 4 3.45350- 4 3.60000+ 1 4.60000+ 1 1.82910- 5 3.67700- 4 3.60000+ 1 4.70000+ 1 1.45519- 5 3.68420- 4 3.60000+ 1 5.80000+ 1 1.80897- 4 3.66170- 4 4.10000+ 1 4.10000+ 1 4.63059- 4 2.62920- 4 4.10000+ 1 4.30000+ 1 5.51284- 4 2.83970- 4 4.10000+ 1 4.40000+ 1 7.79220- 4 2.96610- 4 4.10000+ 1 4.60000+ 1 2.54892- 5 3.18960- 4 4.10000+ 1 4.70000+ 1 3.05507- 5 3.19680- 4 4.10000+ 1 5.80000+ 1 7.42084- 5 3.17430- 4 4.30000+ 1 4.30000+ 1 4.99899- 5 3.05020- 4 4.30000+ 1 4.40000+ 1 2.83464- 4 3.17660- 4 4.30000+ 1 4.60000+ 1 2.71683- 6 3.40010- 4 4.30000+ 1 4.70000+ 1 6.70166- 6 3.40730- 4 4.30000+ 1 5.80000+ 1 3.67703- 5 3.38480- 4 4.40000+ 1 4.40000+ 1 1.10749- 4 3.30300- 4 4.40000+ 1 4.60000+ 1 9.82583- 6 3.52650- 4 4.40000+ 1 4.70000+ 1 6.41159- 6 3.53370- 4 4.40000+ 1 5.80000+ 1 5.05444- 5 3.51120- 4 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 7.44599- 5 1.78340- 4 4.10000+ 1 8.51589- 6 2.54110- 4 5.80000+ 1 7.55699- 7 3.08620- 4 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.50000+ 1 2.21436- 2 6.16700- 5 3.00000+ 1 3.60000+ 1 1.32470- 2 6.32000- 5 3.00000+ 1 4.10000+ 1 1.64170- 2 1.44600- 5 3.00000+ 1 4.30000+ 1 1.00112- 2 3.55100- 5 3.00000+ 1 4.40000+ 1 8.40171- 3 4.81500- 5 3.00000+ 1 4.60000+ 1 2.85643- 4 7.05000- 5 3.00000+ 1 4.70000+ 1 3.26691- 4 7.12200- 5 3.00000+ 1 5.80000+ 1 1.02708- 3 6.89700- 5 3.20000+ 1 3.20000+ 1 8.79784- 2 4.18800- 5 3.20000+ 1 3.30000+ 1 3.64154- 1 5.31100- 5 3.20000+ 1 3.50000+ 1 7.43897- 2 1.64860- 4 3.20000+ 1 3.60000+ 1 1.67156- 1 1.66390- 4 3.20000+ 1 4.10000+ 1 3.75660- 2 1.17650- 4 3.20000+ 1 4.30000+ 1 2.51958- 2 1.38700- 4 3.20000+ 1 4.40000+ 1 3.74471- 2 1.51340- 4 3.20000+ 1 4.60000+ 1 7.79242- 4 1.73690- 4 3.20000+ 1 4.70000+ 1 1.49918- 3 1.74410- 4 3.20000+ 1 5.80000+ 1 3.53288- 3 1.72160- 4 3.30000+ 1 3.30000+ 1 1.40781- 2 6.43400- 5 3.30000+ 1 3.50000+ 1 3.97845- 2 1.76090- 4 3.30000+ 1 3.60000+ 1 9.21190- 3 1.77620- 4 3.30000+ 1 4.10000+ 1 3.65076- 3 1.28880- 4 3.30000+ 1 4.30000+ 1 1.79882- 2 1.49930- 4 3.30000+ 1 4.40000+ 1 3.74755- 3 1.62570- 4 3.30000+ 1 4.60000+ 1 3.33577- 4 1.84920- 4 3.30000+ 1 4.70000+ 1 9.83252- 5 1.85640- 4 3.30000+ 1 5.80000+ 1 2.82941- 4 1.83390- 4 3.50000+ 1 3.50000+ 1 1.52558- 3 2.87840- 4 3.50000+ 1 3.60000+ 1 1.14837- 2 2.89370- 4 3.50000+ 1 4.10000+ 1 2.49601- 3 2.40630- 4 3.50000+ 1 4.30000+ 1 5.08833- 3 2.61680- 4 3.50000+ 1 4.40000+ 1 2.57731- 3 2.74320- 4 3.50000+ 1 4.60000+ 1 4.35580- 5 2.96670- 4 3.50000+ 1 4.70000+ 1 1.00838- 4 2.97390- 4 3.50000+ 1 5.80000+ 1 2.34671- 4 2.95140- 4 3.60000+ 1 3.60000+ 1 5.24726- 4 2.90900- 4 3.60000+ 1 4.10000+ 1 8.96700- 4 2.42160- 4 3.60000+ 1 4.30000+ 1 7.75975- 3 2.63210- 4 3.60000+ 1 4.40000+ 1 8.10399- 4 2.75850- 4 3.60000+ 1 4.60000+ 1 6.28859- 5 2.98200- 4 3.60000+ 1 4.70000+ 1 1.62941- 5 2.98920- 4 3.60000+ 1 5.80000+ 1 6.82329- 5 2.96670- 4 4.10000+ 1 4.10000+ 1 9.98704- 5 1.93420- 4 4.10000+ 1 4.30000+ 1 1.66681- 3 2.14470- 4 4.10000+ 1 4.40000+ 1 2.84652- 4 2.27110- 4 4.10000+ 1 4.60000+ 1 3.42881- 5 2.49460- 4 4.10000+ 1 4.70000+ 1 1.05854- 5 2.50180- 4 4.10000+ 1 5.80000+ 1 1.51882- 5 2.47930- 4 4.30000+ 1 4.30000+ 1 9.37520- 4 2.35520- 4 4.30000+ 1 4.40000+ 1 2.03626- 3 2.48160- 4 4.30000+ 1 4.60000+ 1 5.60087- 5 2.70510- 4 4.30000+ 1 4.70000+ 1 8.07805- 5 2.71230- 4 4.30000+ 1 5.80000+ 1 1.51227- 4 2.68980- 4 4.40000+ 1 4.40000+ 1 7.29408- 5 2.60800- 4 4.40000+ 1 4.60000+ 1 2.66766- 5 2.83150- 4 4.40000+ 1 4.70000+ 1 5.06524- 6 2.83870- 4 4.40000+ 1 5.80000+ 1 1.50272- 5 2.81620- 4 1 96000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 9.09173- 7 1.03190- 4 3.30000+ 1 1.13200- 5 1.14420- 4 4.10000+ 1 5.31672- 6 1.78960- 4 5.80000+ 1 4.67491- 7 2.33470- 4 1 96000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.50000+ 1 2.57061- 2 8.97100- 5 3.20000+ 1 3.60000+ 1 9.74260- 2 9.12400- 5 3.20000+ 1 4.10000+ 1 1.07241- 2 4.25000- 5 3.20000+ 1 4.30000+ 1 7.74937- 3 6.35500- 5 3.20000+ 1 4.40000+ 1 2.06773- 2 7.61900- 5 3.20000+ 1 4.60000+ 1 2.39196- 4 9.85400- 5 3.20000+ 1 4.70000+ 1 6.17815- 4 9.92600- 5 3.20000+ 1 5.80000+ 1 8.20458- 4 9.70100- 5 3.30000+ 1 3.50000+ 1 3.26221- 1 1.00940- 4 3.30000+ 1 3.60000+ 1 2.89213- 1 1.02470- 4 3.30000+ 1 4.10000+ 1 5.33366- 2 5.37300- 5 3.30000+ 1 4.30000+ 1 5.49632- 2 7.47800- 5 3.30000+ 1 4.40000+ 1 5.61685- 2 8.74200- 5 3.30000+ 1 4.60000+ 1 2.24506- 3 1.09770- 4 3.30000+ 1 4.70000+ 1 1.98705- 3 1.10490- 4 3.30000+ 1 5.80000+ 1 4.99838- 3 1.08240- 4 3.50000+ 1 3.50000+ 1 3.64958- 4 2.12690- 4 3.50000+ 1 3.60000+ 1 1.01798- 2 2.14220- 4 3.50000+ 1 4.10000+ 1 2.53393- 3 1.65480- 4 3.50000+ 1 4.30000+ 1 7.67444- 4 1.86530- 4 3.50000+ 1 4.40000+ 1 6.44096- 3 1.99170- 4 3.50000+ 1 4.60000+ 1 1.74809- 5 2.21520- 4 3.50000+ 1 4.70000+ 1 1.26619- 4 2.22240- 4 3.50000+ 1 5.80000+ 1 1.07866- 4 2.19990- 4 3.60000+ 1 3.60000+ 1 3.47488- 3 2.15750- 4 3.60000+ 1 4.10000+ 1 4.70722- 3 1.67010- 4 3.60000+ 1 4.30000+ 1 3.72526- 3 1.88060- 4 3.60000+ 1 4.40000+ 1 7.63521- 3 2.00700- 4 3.60000+ 1 4.60000+ 1 1.39456- 4 2.23050- 4 3.60000+ 1 4.70000+ 1 1.22985- 4 2.23770- 4 3.60000+ 1 5.80000+ 1 2.82053- 4 2.21520- 4 4.10000+ 1 4.10000+ 1 3.10584- 4 1.18270- 4 4.10000+ 1 4.30000+ 1 4.74369- 4 1.39320- 4 4.10000+ 1 4.40000+ 1 1.88971- 3 1.51960- 4 4.10000+ 1 4.60000+ 1 2.78003- 5 1.74310- 4 4.10000+ 1 4.70000+ 1 4.07273- 5 1.75030- 4 4.10000+ 1 5.80000+ 1 4.62151- 5 1.72780- 4 4.30000+ 1 4.30000+ 1 2.59964- 6 1.60370- 4 4.30000+ 1 4.40000+ 1 1.63982- 3 1.73010- 4 4.30000+ 1 4.60000+ 1 8.83790- 6 1.95360- 4 4.30000+ 1 4.70000+ 1 2.68632- 5 1.96080- 4 4.30000+ 1 5.80000+ 1 2.21844- 5 1.93830- 4 4.40000+ 1 4.40000+ 1 1.49896- 3 1.85650- 4 4.40000+ 1 4.60000+ 1 6.07507- 5 2.08000- 4 4.40000+ 1 4.70000+ 1 7.13038- 5 2.08720- 4 4.40000+ 1 5.80000+ 1 1.42289- 4 2.06470- 4 1 97000 0 0 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 3.50000+ 1 3.43000+ 0 3.60000+ 1 4.57000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 4.60000+ 1 4.00000- 1 4.70000+ 1 6.00000- 1 5.80000+ 1 2.00000+ 0 1 97000 0 0 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.32210- 1 3.00000+ 0 2.52940- 2 5.00000+ 0 2.45030- 2 6.00000+ 0 1.94620- 2 8.00000+ 0 6.52330- 3 1.00000+ 1 6.14880- 3 1.10000+ 1 4.96860- 3 1.30000+ 1 4.36690- 3 1.40000+ 1 4.13430- 3 1.60000+ 1 1.72880- 3 1.80000+ 1 1.55400- 3 1.90000+ 1 1.23660- 3 2.10000+ 1 9.56120- 4 2.20000+ 1 8.98820- 4 2.40000+ 1 5.28020- 4 2.50000+ 1 5.12270- 4 2.70000+ 1 4.00870- 4 2.90000+ 1 3.29260- 4 3.00000+ 1 2.48620- 4 3.20000+ 1 1.42390- 4 3.30000+ 1 1.30350- 4 3.50000+ 1 1.45300- 5 3.60000+ 1 1.28400- 5 4.10000+ 1 6.27900- 5 4.30000+ 1 4.10100- 5 4.40000+ 1 2.75100- 5 4.60000+ 1 4.60000- 6 4.70000+ 1 3.85000- 6 5.80000+ 1 6.28000- 6 1 97000 0 0 2.47000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.07000- 1 3.00000+ 0 5.26720- 2 5.00000+ 0 5.28160- 2 6.00000+ 0 3.12090- 2 8.00000+ 0 1.68470- 2 1.00000+ 1 1.67210- 2 1.10000+ 1 1.12080- 2 1.30000+ 1 1.10300- 2 1.40000+ 1 1.00690- 2 1.60000+ 1 5.88720- 3 1.80000+ 1 5.72090- 3 1.90000+ 1 4.01030- 3 2.10000+ 1 3.75350- 3 2.20000+ 1 3.45710- 3 2.40000+ 1 3.08990- 3 2.50000+ 1 2.98820- 3 2.70000+ 1 1.92210- 3 2.90000+ 1 1.78340- 3 3.00000+ 1 1.26180- 3 3.20000+ 1 1.03090- 3 3.30000+ 1 9.45580- 4 3.50000+ 1 5.10540- 4 3.60000+ 1 4.84650- 4 4.10000+ 1 4.66580- 4 4.30000+ 1 3.75560- 4 4.40000+ 1 2.41740- 4 4.60000+ 1 9.15700- 5 4.70000+ 1 7.50500- 5 5.80000+ 1 5.24700- 5 1 97000 0 0 2.47000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.66120-11 3.00000+ 0 2.74640-10 5.00000+ 0 2.20230-10 6.00000+ 0 2.78070-10 8.00000+ 0 7.15940-10 1.00000+ 1 6.69600-10 1.10000+ 1 7.72700-10 1.30000+ 1 6.63420-10 1.40000+ 1 6.93540-10 1.60000+ 1 1.54620- 9 1.80000+ 1 1.53000- 9 1.90000+ 1 1.72840- 9 2.10000+ 1 1.69680- 9 2.20000+ 1 1.75430- 9 2.40000+ 1 1.66700- 9 2.50000+ 1 1.69450- 9 2.70000+ 1 3.15920- 9 2.90000+ 1 3.25800- 9 3.00000+ 1 3.67580- 9 3.20000+ 1 4.03150- 9 3.30000+ 1 4.17050- 9 3.50000+ 1 5.83490- 9 3.60000+ 1 5.99320- 9 4.10000+ 1 6.87750- 9 4.30000+ 1 7.60730- 9 4.40000+ 1 8.90480- 9 4.60000+ 1 1.45740- 8 4.70000+ 1 1.60870- 8 5.80000+ 1 1.96940- 8 1 97000 0 0 2.47000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.13260- 4 3.00000+ 0 3.21960- 6 5.00000+ 0 5.60500- 6 6.00000+ 0 4.60080- 6 8.00000+ 0 1.54530- 7 1.00000+ 1 1.65590- 7 1.10000+ 1 1.87650- 7 1.30000+ 1 2.55710- 7 1.40000+ 1 2.33390- 7 1.60000+ 1 9.66230- 9 1.80000+ 1 1.18030- 8 1.90000+ 1 7.96320- 9 2.10000+ 1 5.28740- 9 2.20000+ 1 4.01640- 9 2.40000+ 1 2.13990-10 2.50000+ 1 1.90440-10 2.70000+ 1 7.32610-10 2.90000+ 1 1.36330- 9 3.00000+ 1 5.78000-10 1 97000 0 0 2.47000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.43840- 6 3.00000+ 0 1.32890- 5 5.00000+ 0 5.41650- 6 6.00000+ 0 4.72910- 6 8.00000+ 0 2.02690- 5 1.00000+ 1 1.56860- 5 1.10000+ 1 1.18170- 5 1.30000+ 1 4.05540- 6 1.40000+ 1 3.95630- 6 1.60000+ 1 1.49840- 5 1.80000+ 1 1.62310- 5 1.90000+ 1 1.04030- 5 2.10000+ 1 6.70900- 6 2.20000+ 1 6.36370- 6 2.40000+ 1 1.04650- 6 2.50000+ 1 7.11400- 7 2.70000+ 1 3.02810- 5 2.90000+ 1 1.19760- 5 3.00000+ 1 1.78740- 5 1 97000 0 0 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.73959- 4 3.00000+ 0 1.09488- 3 5.00000+ 0 8.17435- 4 6.00000+ 0 7.63978- 4 8.00000+ 0 8.51948- 4 1.00000+ 1 7.61049- 4 1.10000+ 1 6.58963- 4 1.30000+ 1 5.12852- 4 1.40000+ 1 4.96631- 4 1.60000+ 1 4.48972- 4 1.80000+ 1 4.25706- 4 1.90000+ 1 4.26461- 4 2.10000+ 1 3.44278- 4 2.20000+ 1 3.26863- 4 2.40000+ 1 2.00399- 4 2.50000+ 1 1.97617- 4 2.70000+ 1 2.25750- 4 2.90000+ 1 2.05501- 4 3.00000+ 1 1.45927- 4 3.20000+ 1 1.42390- 4 3.30000+ 1 1.30350- 4 3.50000+ 1 1.45300- 5 3.60000+ 1 1.28400- 5 4.10000+ 1 6.27900- 5 4.30000+ 1 4.10100- 5 4.40000+ 1 2.75100- 5 4.60000+ 1 4.60000- 6 4.70000+ 1 3.85000- 6 5.80000+ 1 6.28000- 6 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.48440+ 0 3.00000+ 0 6.45260- 1 5.00000+ 0 7.08400- 1 6.00000+ 0 5.77875- 1 8.00000+ 0 6.72514- 2 1.00000+ 1 7.00526- 2 1.10000+ 1 6.27308- 2 1.30000+ 1 7.07885- 2 1.40000+ 1 6.23644- 2 1.60000+ 1 2.22161- 3 1.80000+ 1 2.20005- 3 1.90000+ 1 1.62961- 3 2.10000+ 1 1.12930- 3 2.20000+ 1 9.40054- 4 2.40000+ 1 2.33497- 4 2.50000+ 1 2.05893- 4 2.70000+ 1 6.18332- 5 2.90000+ 1 9.77870- 5 3.00000+ 1 2.07267- 5 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.19329- 1 3.00000+ 0 9.83242- 3 5.00000+ 0 1.28242- 2 6.00000+ 0 8.24127- 3 8.00000+ 0 2.51799- 4 1.00000+ 1 2.65762- 4 1.10000+ 1 2.29974- 4 1.30000+ 1 2.65637- 4 1.40000+ 1 2.22800- 4 1.60000+ 1 1.76458- 6 1.80000+ 1 1.48256- 6 1.90000+ 1 1.09350- 6 2.10000+ 1 5.93046- 7 2.20000+ 1 4.76533- 7 2.40000+ 1 8.36995- 8 2.50000+ 1 7.38007- 8 2.70000+ 1 1.07376- 8 2.90000+ 1 1.90876- 8 3.00000+ 1 2.92580- 9 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.85983+ 0 3.00000+ 0 1.29534+ 1 5.00000+ 0 9.40823+ 0 6.00000+ 0 8.72497+ 0 8.00000+ 0 9.98020+ 0 1.00000+ 1 8.77086+ 0 1.10000+ 1 7.51829+ 0 1.30000+ 1 5.60251+ 0 1.40000+ 1 5.34355+ 0 1.60000+ 1 4.43948+ 0 1.80000+ 1 4.15444+ 0 1.90000+ 1 4.13925+ 0 2.10000+ 1 3.27633+ 0 2.20000+ 1 2.93751+ 0 2.40000+ 1 1.93029+ 0 2.50000+ 1 1.72018+ 0 2.70000+ 1 1.80075+ 0 2.90000+ 1 1.07401+ 0 3.00000+ 1 9.99979- 1 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.21068- 2 3.00000+ 0 1.43667- 2 5.00000+ 0 1.08614- 2 6.00000+ 0 1.04568- 2 8.00000+ 0 5.41955- 3 1.00000+ 1 5.12199- 3 1.10000+ 1 4.07966- 3 1.30000+ 1 3.58841- 3 1.40000+ 1 3.41487- 3 1.60000+ 1 1.27806- 3 1.80000+ 1 1.12681- 3 1.90000+ 1 8.09046- 4 2.10000+ 1 6.11249- 4 2.20000+ 1 5.71481- 4 2.40000+ 1 3.27538- 4 2.50000+ 1 3.14579- 4 2.70000+ 1 1.75109- 4 2.90000+ 1 1.23740- 4 3.00000+ 1 1.02690- 4 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.94099- 1 1.07707- 1 6.00000+ 0 4.57688- 1 1.12748- 1 1.00000+ 1 5.34678- 2 1.26061- 1 1.10000+ 1 1.05420- 1 1.27241- 1 1.30000+ 1 2.09439- 3 1.27843- 1 1.40000+ 1 2.31049- 3 1.28076- 1 1.80000+ 1 1.36000- 2 1.30656- 1 1.90000+ 1 2.80849- 2 1.30973- 1 2.10000+ 1 6.41908- 4 1.31254- 1 2.20000+ 1 7.12417- 4 1.31311- 1 2.90000+ 1 3.44089- 3 1.31881- 1 3.00000+ 1 7.03547- 3 1.31961- 1 3.20000+ 1 1.42989- 4 1.32068- 1 3.30000+ 1 1.57149- 4 1.32080- 1 4.30000+ 1 5.86368- 4 1.32169- 1 4.40000+ 1 1.05860- 3 1.32182- 1 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.56433- 3 8.16220- 2 3.00000+ 0 5.00000+ 0 6.96157- 3 8.24130- 2 3.00000+ 0 6.00000+ 0 2.19666- 3 8.74540- 2 3.00000+ 0 8.00000+ 0 1.49358- 3 1.00393- 1 3.00000+ 0 1.00000+ 1 1.53318- 3 1.00767- 1 3.00000+ 0 1.10000+ 1 5.55170- 4 1.01947- 1 3.00000+ 0 1.30000+ 1 4.88231- 5 1.02549- 1 3.00000+ 0 1.40000+ 1 2.83535- 5 1.02782- 1 3.00000+ 0 1.60000+ 1 4.03713- 4 1.05187- 1 3.00000+ 0 1.80000+ 1 4.08453- 4 1.05362- 1 3.00000+ 0 1.90000+ 1 1.50688- 4 1.05679- 1 3.00000+ 0 2.10000+ 1 1.50688- 5 1.05960- 1 3.00000+ 0 2.20000+ 1 8.63137- 6 1.06017- 1 3.00000+ 0 2.40000+ 1 4.82191- 8 1.06388- 1 3.00000+ 0 2.50000+ 1 4.82191- 8 1.06404- 1 3.00000+ 0 2.70000+ 1 1.08428- 4 1.06515- 1 3.00000+ 0 2.90000+ 1 1.04088- 4 1.06587- 1 3.00000+ 0 3.00000+ 1 3.78994- 5 1.06667- 1 3.00000+ 0 3.20000+ 1 3.32714- 6 1.06774- 1 3.00000+ 0 3.30000+ 1 1.88057- 6 1.06786- 1 5.00000+ 0 5.00000+ 0 2.10704- 4 8.32040- 2 5.00000+ 0 6.00000+ 0 3.41976- 3 8.82450- 2 5.00000+ 0 8.00000+ 0 1.30063- 3 1.01184- 1 5.00000+ 0 1.00000+ 1 8.30615- 5 1.01558- 1 5.00000+ 0 1.10000+ 1 7.40933- 4 1.02738- 1 5.00000+ 0 1.30000+ 1 4.91880- 5 1.03340- 1 5.00000+ 0 1.40000+ 1 1.03392- 4 1.03573- 1 5.00000+ 0 1.60000+ 1 3.42506- 4 1.05978- 1 5.00000+ 0 1.80000+ 1 2.17004- 5 1.06153- 1 5.00000+ 0 1.90000+ 1 1.93414- 4 1.06470- 1 5.00000+ 0 2.10000+ 1 1.44423- 5 1.06751- 1 5.00000+ 0 2.20000+ 1 3.06446- 5 1.06808- 1 5.00000+ 0 2.40000+ 1 4.82209- 7 1.07179- 1 5.00000+ 0 2.50000+ 1 6.75092- 7 1.07195- 1 5.00000+ 0 2.70000+ 1 9.13281- 5 1.07306- 1 5.00000+ 0 2.90000+ 1 5.49740- 6 1.07378- 1 5.00000+ 0 3.00000+ 1 4.81739- 5 1.07458- 1 5.00000+ 0 3.20000+ 1 3.13436- 6 1.07565- 1 5.00000+ 0 3.30000+ 1 6.60622- 6 1.07577- 1 6.00000+ 0 6.00000+ 0 1.34419- 3 9.32860- 2 6.00000+ 0 8.00000+ 0 3.61798- 4 1.06225- 1 6.00000+ 0 1.00000+ 1 6.23635- 4 1.06599- 1 6.00000+ 0 1.10000+ 1 5.99505- 4 1.07779- 1 6.00000+ 0 1.30000+ 1 1.08859- 4 1.08381- 1 6.00000+ 0 1.40000+ 1 8.45796- 5 1.08614- 1 6.00000+ 0 1.60000+ 1 9.23626- 5 1.11019- 1 6.00000+ 0 1.80000+ 1 1.58719- 4 1.11194- 1 6.00000+ 0 1.90000+ 1 1.57729- 4 1.11511- 1 6.00000+ 0 2.10000+ 1 3.24527- 5 1.11792- 1 6.00000+ 0 2.20000+ 1 2.52188- 5 1.11849- 1 6.00000+ 0 2.40000+ 1 6.50974- 7 1.12220- 1 6.00000+ 0 2.50000+ 1 6.75074- 7 1.12236- 1 6.00000+ 0 2.70000+ 1 2.44228- 5 1.12347- 1 6.00000+ 0 2.90000+ 1 3.99507- 5 1.12419- 1 6.00000+ 0 3.00000+ 1 3.93727- 5 1.12499- 1 6.00000+ 0 3.20000+ 1 7.11244- 6 1.12606- 1 6.00000+ 0 3.30000+ 1 5.44886- 6 1.12618- 1 8.00000+ 0 8.00000+ 0 1.54861- 4 1.19163- 1 8.00000+ 0 1.00000+ 1 2.87712- 4 1.19538- 1 8.00000+ 0 1.10000+ 1 9.22230- 5 1.20718- 1 8.00000+ 0 1.30000+ 1 7.85994- 6 1.21320- 1 8.00000+ 0 1.40000+ 1 4.29173- 6 1.21552- 1 8.00000+ 0 1.60000+ 1 8.35904- 5 1.23958- 1 8.00000+ 0 1.80000+ 1 7.67444- 5 1.24133- 1 8.00000+ 0 1.90000+ 1 2.50992- 5 1.24450- 1 8.00000+ 0 2.10000+ 1 2.43522- 6 1.24731- 1 8.00000+ 0 2.20000+ 1 1.30201- 6 1.24788- 1 8.00000+ 0 2.70000+ 1 2.24472- 5 1.25286- 1 8.00000+ 0 2.90000+ 1 1.95542- 5 1.25357- 1 8.00000+ 0 3.00000+ 1 6.31684- 6 1.25438- 1 8.00000+ 0 3.20000+ 1 5.30434- 7 1.25544- 1 8.00000+ 0 3.30000+ 1 2.89332- 7 1.25556- 1 1.00000+ 1 1.00000+ 1 7.54646- 6 1.19912- 1 1.00000+ 1 1.10000+ 1 1.39990- 4 1.21093- 1 1.00000+ 1 1.30000+ 1 8.51099- 6 1.21694- 1 1.00000+ 1 1.40000+ 1 1.38630- 5 1.21927- 1 1.00000+ 1 1.60000+ 1 7.57796- 5 1.24332- 1 1.00000+ 1 1.80000+ 1 3.85779- 6 1.24507- 1 1.00000+ 1 1.90000+ 1 3.68159- 5 1.24825- 1 1.00000+ 1 2.10000+ 1 2.53159- 6 1.25105- 1 1.00000+ 1 2.20000+ 1 4.17129- 6 1.25162- 1 1.00000+ 1 2.40000+ 1 4.82198- 8 1.25533- 1 1.00000+ 1 2.50000+ 1 7.23296- 8 1.25549- 1 1.00000+ 1 2.70000+ 1 2.02049- 5 1.25660- 1 1.00000+ 1 2.90000+ 1 9.64379- 7 1.25732- 1 1.00000+ 1 3.00000+ 1 9.18589- 6 1.25813- 1 1.00000+ 1 3.20000+ 1 5.54557- 7 1.25919- 1 1.00000+ 1 3.30000+ 1 8.92080- 7 1.25931- 1 1.10000+ 1 1.10000+ 1 6.77034- 5 1.22273- 1 1.10000+ 1 1.30000+ 1 1.99394- 5 1.22874- 1 1.10000+ 1 1.40000+ 1 1.48034- 5 1.23107- 1 1.10000+ 1 1.60000+ 1 2.35805- 5 1.25513- 1 1.10000+ 1 1.80000+ 1 3.59008- 5 1.25687- 1 1.10000+ 1 1.90000+ 1 3.57327- 5 1.26005- 1 1.10000+ 1 2.10000+ 1 6.00352- 6 1.26285- 1 1.10000+ 1 2.20000+ 1 4.46070- 6 1.26343- 1 1.10000+ 1 2.40000+ 1 9.64404- 8 1.26713- 1 1.10000+ 1 2.50000+ 1 9.64404- 8 1.26729- 1 1.10000+ 1 2.70000+ 1 6.24483- 6 1.26841- 1 1.10000+ 1 2.90000+ 1 9.06543- 6 1.26912- 1 1.10000+ 1 3.00000+ 1 8.92102- 6 1.26993- 1 1.10000+ 1 3.20000+ 1 1.32613- 6 1.27099- 1 1.10000+ 1 3.30000+ 1 9.64404- 7 1.27111- 1 1.30000+ 1 1.30000+ 1 7.23299- 8 1.23476- 1 1.30000+ 1 1.40000+ 1 2.02530- 6 1.23709- 1 1.30000+ 1 1.60000+ 1 2.00120- 6 1.26114- 1 1.30000+ 1 1.80000+ 1 2.17000- 6 1.26289- 1 1.30000+ 1 1.90000+ 1 5.01500- 6 1.26606- 1 1.30000+ 1 2.10000+ 1 4.82200- 8 1.26887- 1 1.30000+ 1 2.20000+ 1 5.78648- 7 1.26944- 1 1.30000+ 1 2.50000+ 1 2.41110- 8 1.27331- 1 1.30000+ 1 2.70000+ 1 5.30429- 7 1.27442- 1 1.30000+ 1 2.90000+ 1 5.54559- 7 1.27514- 1 1.30000+ 1 3.00000+ 1 1.22960- 6 1.27594- 1 1.30000+ 1 3.30000+ 1 1.20550- 7 1.27713- 1 1.40000+ 1 1.40000+ 1 5.06297- 7 1.23941- 1 1.40000+ 1 1.60000+ 1 1.08499- 6 1.26347- 1 1.40000+ 1 1.80000+ 1 3.27888- 6 1.26522- 1 1.40000+ 1 1.90000+ 1 3.66478- 6 1.26839- 1 1.40000+ 1 2.10000+ 1 5.78645- 7 1.27120- 1 1.40000+ 1 2.20000+ 1 2.89328- 7 1.27177- 1 1.40000+ 1 2.70000+ 1 2.89328- 7 1.27675- 1 1.40000+ 1 2.90000+ 1 8.19754- 7 1.27746- 1 1.40000+ 1 3.00000+ 1 8.92078- 7 1.27827- 1 1.40000+ 1 3.20000+ 1 1.20550- 7 1.27933- 1 1.40000+ 1 3.30000+ 1 7.23295- 8 1.27945- 1 1.60000+ 1 1.60000+ 1 1.12840- 5 1.28752- 1 1.60000+ 1 1.80000+ 1 2.02051- 5 1.28927- 1 1.60000+ 1 1.90000+ 1 6.41352- 6 1.29245- 1 1.60000+ 1 2.10000+ 1 6.26882- 7 1.29525- 1 1.60000+ 1 2.20000+ 1 3.37551- 7 1.29582- 1 1.60000+ 1 2.70000+ 1 6.05172- 6 1.30080- 1 1.60000+ 1 2.90000+ 1 5.15962- 6 1.30152- 1 1.60000+ 1 3.00000+ 1 1.61541- 6 1.30233- 1 1.60000+ 1 3.20000+ 1 1.44661- 7 1.30339- 1 1.60000+ 1 3.30000+ 1 7.23302- 8 1.30351- 1 1.80000+ 1 1.80000+ 1 4.82203- 7 1.29102- 1 1.80000+ 1 1.90000+ 1 9.45179- 6 1.29419- 1 1.80000+ 1 2.10000+ 1 6.50983- 7 1.29700- 1 1.80000+ 1 2.20000+ 1 9.88509- 7 1.29757- 1 1.80000+ 1 2.40000+ 1 2.41112- 8 1.30128- 1 1.80000+ 1 2.50000+ 1 2.41112- 8 1.30144- 1 1.80000+ 1 2.70000+ 1 5.40063- 6 1.30255- 1 1.80000+ 1 2.90000+ 1 2.41112- 7 1.30327- 1 1.80000+ 1 3.00000+ 1 2.36281- 6 1.30407- 1 1.80000+ 1 3.20000+ 1 1.44661- 7 1.30514- 1 1.80000+ 1 3.30000+ 1 2.17001- 7 1.30526- 1 1.90000+ 1 1.90000+ 1 4.72562- 6 1.29737- 1 1.90000+ 1 2.10000+ 1 1.51898- 6 1.30017- 1 1.90000+ 1 2.20000+ 1 1.10908- 6 1.30075- 1 1.90000+ 1 2.40000+ 1 2.41106- 8 1.30445- 1 1.90000+ 1 2.50000+ 1 2.41106- 8 1.30461- 1 1.90000+ 1 2.70000+ 1 1.68768- 6 1.30573- 1 1.90000+ 1 2.90000+ 1 2.38696- 6 1.30644- 1 1.90000+ 1 3.00000+ 1 2.36276- 6 1.30725- 1 1.90000+ 1 3.20000+ 1 3.37544- 7 1.30831- 1 1.90000+ 1 3.30000+ 1 2.41106- 7 1.30843- 1 2.10000+ 1 2.20000+ 1 1.74521- 7 1.30355- 1 2.10000+ 1 2.70000+ 1 1.74521- 7 1.30853- 1 2.10000+ 1 2.90000+ 1 1.74521- 7 1.30925- 1 2.10000+ 1 3.00000+ 1 3.73972- 7 1.31005- 1 2.10000+ 1 3.30000+ 1 2.49325- 8 1.31124- 1 2.20000+ 1 2.20000+ 1 4.92078- 8 1.30412- 1 2.20000+ 1 2.70000+ 1 9.84140- 8 1.30910- 1 2.20000+ 1 2.90000+ 1 2.46049- 7 1.30982- 1 2.20000+ 1 3.00000+ 1 2.70653- 7 1.31063- 1 2.20000+ 1 3.20000+ 1 4.92078- 8 1.31169- 1 2.20000+ 1 3.30000+ 1 2.46049- 8 1.31181- 1 2.70000+ 1 2.70000+ 1 8.14724- 7 1.31408- 1 2.70000+ 1 2.90000+ 1 1.36586- 6 1.31480- 1 2.70000+ 1 3.00000+ 1 4.31315- 7 1.31561- 1 2.70000+ 1 3.20000+ 1 4.79239- 8 1.31667- 1 2.70000+ 1 3.30000+ 1 2.39629- 8 1.31679- 1 2.90000+ 1 2.90000+ 1 2.41622- 8 1.31551- 1 2.90000+ 1 3.00000+ 1 6.04031- 7 1.31632- 1 2.90000+ 1 3.20000+ 1 2.41622- 8 1.31738- 1 2.90000+ 1 3.30000+ 1 4.83225- 8 1.31750- 1 3.00000+ 1 3.00000+ 1 3.16760- 7 1.31713- 1 3.00000+ 1 3.20000+ 1 7.91871- 8 1.31819- 1 3.00000+ 1 3.30000+ 1 5.27915- 8 1.31831- 1 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.34300- 5 7.91000- 4 6.00000+ 0 1.44630- 2 5.83200- 3 1.00000+ 1 6.99220- 2 1.91452- 2 1.10000+ 1 5.24110- 2 2.03254- 2 1.30000+ 1 3.62240- 3 2.09271- 2 1.40000+ 1 5.37670- 3 2.11597- 2 1.80000+ 1 1.92370- 2 2.37400- 2 1.90000+ 1 1.70470- 2 2.40574- 2 2.10000+ 1 6.47730- 4 2.43379- 2 2.20000+ 1 1.04270- 3 2.43952- 2 2.90000+ 1 4.93790- 3 2.49647- 2 3.00000+ 1 4.45940- 3 2.50454- 2 3.20000+ 1 1.26550- 4 2.51516- 2 3.30000+ 1 2.06060- 4 2.51636- 2 4.30000+ 1 8.43410- 4 2.52530- 2 4.40000+ 1 6.73650- 4 2.52665- 2 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.40000+ 1 1.19021- 2 2.62980- 4 5.00000+ 0 2.50000+ 1 1.59251- 2 2.78730- 4 5.00000+ 0 2.70000+ 1 5.49855- 3 3.90130- 4 5.00000+ 0 2.90000+ 1 4.61585- 3 4.61740- 4 5.00000+ 0 3.00000+ 1 3.38434- 3 5.42380- 4 5.00000+ 0 3.20000+ 1 9.38849- 4 6.48610- 4 5.00000+ 0 3.30000+ 1 1.14721- 3 6.60650- 4 6.00000+ 0 1.10000+ 1 3.30070- 2 8.63400- 4 6.00000+ 0 1.30000+ 1 1.93850- 1 1.46510- 3 6.00000+ 0 1.40000+ 1 2.28621- 1 1.69770- 3 6.00000+ 0 1.60000+ 1 1.63720- 2 4.10320- 3 6.00000+ 0 1.80000+ 1 6.36560- 3 4.27800- 3 6.00000+ 0 1.90000+ 1 8.55611- 3 4.59540- 3 6.00000+ 0 2.10000+ 1 3.27580- 2 4.87588- 3 6.00000+ 0 2.20000+ 1 3.70180- 2 4.93318- 3 6.00000+ 0 2.40000+ 1 1.79100- 2 5.30398- 3 6.00000+ 0 2.50000+ 1 2.16430- 2 5.31973- 3 6.00000+ 0 2.70000+ 1 4.13640- 3 5.43113- 3 6.00000+ 0 2.90000+ 1 1.60900- 3 5.50274- 3 6.00000+ 0 3.00000+ 1 2.13450- 3 5.58338- 3 6.00000+ 0 3.20000+ 1 6.47870- 3 5.68961- 3 6.00000+ 0 3.30000+ 1 7.16141- 3 5.70165- 3 8.00000+ 0 8.00000+ 0 5.82090- 3 1.22474- 2 8.00000+ 0 1.00000+ 1 1.23890- 2 1.26219- 2 8.00000+ 0 1.10000+ 1 1.61730- 2 1.38021- 2 8.00000+ 0 1.30000+ 1 1.11480- 2 1.44038- 2 8.00000+ 0 1.40000+ 1 1.29680- 2 1.46364- 2 8.00000+ 0 1.60000+ 1 2.68890- 3 1.70419- 2 8.00000+ 0 1.80000+ 1 3.27700- 3 1.72167- 2 8.00000+ 0 1.90000+ 1 4.29570- 3 1.75341- 2 8.00000+ 0 2.10000+ 1 2.83800- 3 1.78146- 2 8.00000+ 0 2.20000+ 1 3.30230- 3 1.78719- 2 8.00000+ 0 2.40000+ 1 2.63100- 4 1.82427- 2 8.00000+ 0 2.50000+ 1 2.63930- 4 1.82584- 2 8.00000+ 0 2.70000+ 1 7.01080- 4 1.83698- 2 8.00000+ 0 2.90000+ 1 8.31780- 4 1.84414- 2 8.00000+ 0 3.00000+ 1 1.07310- 3 1.85221- 2 8.00000+ 0 3.20000+ 1 5.99750- 4 1.86283- 2 8.00000+ 0 3.30000+ 1 6.89590- 4 1.86403- 2 1.00000+ 1 1.00000+ 1 1.08604- 5 1.29964- 2 1.00000+ 1 1.10000+ 1 2.31028- 4 1.41766- 2 1.00000+ 1 1.30000+ 1 8.01368- 4 1.47783- 2 1.00000+ 1 1.40000+ 1 5.24838- 3 1.50109- 2 1.00000+ 1 1.60000+ 1 2.27668- 3 1.74164- 2 1.00000+ 1 1.80000+ 1 1.31644- 6 1.75912- 2 1.00000+ 1 1.90000+ 1 4.87057- 5 1.79086- 2 1.00000+ 1 2.10000+ 1 1.68335- 4 1.81891- 2 1.00000+ 1 2.20000+ 1 8.72780- 4 1.82464- 2 1.00000+ 1 2.40000+ 1 1.03333- 4 1.86172- 2 1.00000+ 1 2.50000+ 1 3.51792- 4 1.86329- 2 1.00000+ 1 2.70000+ 1 5.56659- 4 1.87443- 2 1.00000+ 1 2.90000+ 1 3.29092- 7 1.88159- 2 1.00000+ 1 3.00000+ 1 1.15184- 5 1.88966- 2 1.00000+ 1 3.20000+ 1 3.45552- 5 1.90028- 2 1.00000+ 1 3.30000+ 1 1.66355- 4 1.90148- 2 1.10000+ 1 1.10000+ 1 8.29449- 4 1.53568- 2 1.10000+ 1 1.30000+ 1 1.40150- 3 1.59585- 2 1.10000+ 1 1.40000+ 1 8.90619- 4 1.61911- 2 1.10000+ 1 1.60000+ 1 2.85410- 3 1.85966- 2 1.10000+ 1 1.80000+ 1 6.33469- 5 1.87714- 2 1.10000+ 1 1.90000+ 1 3.48500- 4 1.90888- 2 1.10000+ 1 2.10000+ 1 1.85269- 4 1.93693- 2 1.10000+ 1 2.20000+ 1 8.75329- 5 1.94266- 2 1.10000+ 1 2.40000+ 1 9.28049- 5 1.97974- 2 1.10000+ 1 2.50000+ 1 8.37489- 5 1.98131- 2 1.10000+ 1 2.70000+ 1 6.90550- 4 1.99245- 2 1.10000+ 1 2.90000+ 1 1.61239- 5 1.99961- 2 1.10000+ 1 3.00000+ 1 8.25979- 5 2.00768- 2 1.10000+ 1 3.20000+ 1 3.45540- 5 2.01830- 2 1.10000+ 1 3.30000+ 1 1.48090- 5 2.01950- 2 1.30000+ 1 1.30000+ 1 6.08630- 4 1.65602- 2 1.30000+ 1 1.40000+ 1 1.62512- 2 1.67928- 2 1.30000+ 1 1.60000+ 1 1.74663- 3 1.91983- 2 1.30000+ 1 1.80000+ 1 2.44185- 4 1.93731- 2 1.30000+ 1 1.90000+ 1 3.78936- 4 1.96905- 2 1.30000+ 1 2.10000+ 1 3.02595- 4 1.99710- 2 1.30000+ 1 2.20000+ 1 2.89765- 3 2.00283- 2 1.30000+ 1 2.40000+ 1 2.48465- 4 2.03991- 2 1.30000+ 1 2.50000+ 1 6.67411- 4 2.04148- 2 1.30000+ 1 2.70000+ 1 4.10537- 4 2.05262- 2 1.30000+ 1 2.90000+ 1 6.40080- 5 2.05978- 2 1.30000+ 1 3.00000+ 1 9.64216- 5 2.06785- 2 1.30000+ 1 3.20000+ 1 6.38440- 5 2.07847- 2 1.30000+ 1 3.30000+ 1 5.58459- 4 2.07967- 2 1.40000+ 1 1.40000+ 1 4.37131- 3 1.70254- 2 1.40000+ 1 1.60000+ 1 2.06140- 3 1.94309- 2 1.40000+ 1 1.80000+ 1 1.21490- 3 1.96057- 2 1.40000+ 1 1.90000+ 1 2.21800- 4 1.99231- 2 1.40000+ 1 2.10000+ 1 2.75031- 3 2.02036- 2 1.40000+ 1 2.20000+ 1 1.64250- 3 2.02609- 2 1.40000+ 1 2.40000+ 1 7.28902- 4 2.06317- 2 1.40000+ 1 2.50000+ 1 5.32451- 4 2.06474- 2 1.40000+ 1 2.70000+ 1 4.88191- 4 2.07588- 2 1.40000+ 1 2.90000+ 1 2.99801- 4 2.08304- 2 1.40000+ 1 3.00000+ 1 5.61081- 5 2.09111- 2 1.40000+ 1 3.20000+ 1 5.30311- 4 2.10173- 2 1.40000+ 1 3.30000+ 1 3.21021- 4 2.10293- 2 1.60000+ 1 1.60000+ 1 2.93210- 4 2.18364- 2 1.60000+ 1 1.80000+ 1 6.02879- 4 2.20112- 2 1.60000+ 1 1.90000+ 1 7.62149- 4 2.23286- 2 1.60000+ 1 2.10000+ 1 4.49689- 4 2.26091- 2 1.60000+ 1 2.20000+ 1 5.26529- 4 2.26664- 2 1.60000+ 1 2.40000+ 1 3.52120- 5 2.30372- 2 1.60000+ 1 2.50000+ 1 3.32370- 5 2.30529- 2 1.60000+ 1 2.70000+ 1 1.50879- 4 2.31643- 2 1.60000+ 1 2.90000+ 1 1.53029- 4 2.32359- 2 1.60000+ 1 3.00000+ 1 1.90539- 4 2.33166- 2 1.60000+ 1 3.20000+ 1 9.52688- 5 2.34228- 2 1.60000+ 1 3.30000+ 1 1.10080- 4 2.34348- 2 1.80000+ 1 1.90000+ 1 1.33279- 5 2.25034- 2 1.80000+ 1 2.10000+ 1 4.72227- 5 2.27839- 2 1.80000+ 1 2.20000+ 1 2.11428- 4 2.28412- 2 1.80000+ 1 2.40000+ 1 1.49729- 5 2.32120- 2 1.80000+ 1 2.50000+ 1 5.79186- 5 2.32277- 2 1.80000+ 1 2.70000+ 1 1.47429- 4 2.33391- 2 1.80000+ 1 3.00000+ 1 3.12628- 6 2.34914- 2 1.80000+ 1 3.20000+ 1 9.54294- 6 2.35976- 2 1.80000+ 1 3.30000+ 1 4.06418- 5 2.36096- 2 1.90000+ 1 1.90000+ 1 3.52117- 5 2.28208- 2 1.90000+ 1 2.10000+ 1 4.72226- 5 2.31013- 2 1.90000+ 1 2.20000+ 1 2.10608- 5 2.31586- 2 1.90000+ 1 2.40000+ 1 2.38588- 5 2.35294- 2 1.90000+ 1 2.50000+ 1 2.04028- 5 2.35451- 2 1.90000+ 1 2.70000+ 1 1.84608- 4 2.36565- 2 1.90000+ 1 2.90000+ 1 3.45537- 6 2.37281- 2 1.90000+ 1 3.00000+ 1 1.66188- 5 2.38088- 2 1.90000+ 1 3.20000+ 1 8.55602- 6 2.39150- 2 1.90000+ 1 3.30000+ 1 3.45537- 6 2.39270- 2 2.10000+ 1 2.10000+ 1 3.47193- 5 2.33818- 2 2.10000+ 1 2.20000+ 1 5.36564- 4 2.34391- 2 2.10000+ 1 2.40000+ 1 4.31103- 5 2.38099- 2 2.10000+ 1 2.50000+ 1 8.67126- 5 2.38256- 2 2.10000+ 1 2.70000+ 1 1.05971- 4 2.39370- 2 2.10000+ 1 2.90000+ 1 1.21761- 5 2.40086- 2 2.10000+ 1 3.00000+ 1 1.20121- 5 2.40893- 2 2.10000+ 1 3.20000+ 1 1.43151- 5 2.41955- 2 2.10000+ 1 3.30000+ 1 1.05311- 4 2.42075- 2 2.20000+ 1 2.20000+ 1 1.65530- 4 2.34964- 2 2.20000+ 1 2.40000+ 1 1.02670- 4 2.38672- 2 2.20000+ 1 2.50000+ 1 8.24374- 5 2.38829- 2 2.20000+ 1 2.70000+ 1 1.24720- 4 2.39943- 2 2.20000+ 1 2.90000+ 1 5.26532- 5 2.40659- 2 2.20000+ 1 3.00000+ 1 5.42982- 6 2.41466- 2 2.20000+ 1 3.20000+ 1 1.05470- 4 2.42528- 2 2.20000+ 1 3.30000+ 1 6.54883- 5 2.42648- 2 2.40000+ 1 2.40000+ 1 1.31640- 6 2.42380- 2 2.40000+ 1 2.50000+ 1 2.28712- 5 2.42537- 2 2.40000+ 1 2.70000+ 1 8.06264- 6 2.43651- 2 2.40000+ 1 2.90000+ 1 3.29082- 6 2.44367- 2 2.40000+ 1 3.00000+ 1 5.75892- 6 2.45174- 2 2.40000+ 1 3.20000+ 1 8.39104- 6 2.46236- 2 2.40000+ 1 3.30000+ 1 1.87580- 5 2.46356- 2 2.50000+ 1 2.50000+ 1 4.77159- 6 2.42695- 2 2.50000+ 1 2.70000+ 1 7.40439- 6 2.43809- 2 2.50000+ 1 2.90000+ 1 1.31640- 5 2.44525- 2 2.50000+ 1 3.00000+ 1 4.93619- 6 2.45331- 2 2.50000+ 1 3.20000+ 1 1.57959- 5 2.46393- 2 2.50000+ 1 3.30000+ 1 1.54669- 5 2.46514- 2 2.70000+ 1 2.70000+ 1 1.92517- 5 2.44923- 2 2.70000+ 1 2.90000+ 1 3.75145- 5 2.45639- 2 2.70000+ 1 3.00000+ 1 4.62354- 5 2.46445- 2 2.70000+ 1 3.20000+ 1 2.25417- 5 2.47507- 2 2.70000+ 1 3.30000+ 1 2.59967- 5 2.47628- 2 2.90000+ 1 3.00000+ 1 8.22695- 7 2.47161- 2 2.90000+ 1 3.20000+ 1 2.46815- 6 2.48223- 2 2.90000+ 1 3.30000+ 1 1.02012- 5 2.48344- 2 3.00000+ 1 3.00000+ 1 2.21687- 6 2.47968- 2 3.00000+ 1 3.20000+ 1 2.40167- 6 2.49030- 2 3.00000+ 1 3.30000+ 1 9.23665- 7 2.49150- 2 3.20000+ 1 3.20000+ 1 1.48091- 6 2.50092- 2 3.20000+ 1 3.30000+ 1 2.07321- 5 2.50213- 2 3.30000+ 1 3.30000+ 1 6.58150- 6 2.50333- 2 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 6.65849- 5 5.04100- 3 8.00000+ 0 1.12260- 2 1.79797- 2 1.10000+ 1 6.36069- 4 1.95344- 2 1.30000+ 1 3.89050- 1 2.01361- 2 1.60000+ 1 3.10920- 3 2.27742- 2 1.90000+ 1 1.99700- 4 2.32664- 2 2.10000+ 1 9.21849- 2 2.35469- 2 2.40000+ 1 6.60359- 4 2.39750- 2 2.70000+ 1 8.39769- 4 2.41021- 2 3.00000+ 1 5.18839- 5 2.42544- 2 3.20000+ 1 1.93980- 2 2.43606- 2 3.50000+ 1 5.38299- 5 2.44885- 2 4.10000+ 1 1.73980- 4 2.44402- 2 4.40000+ 1 7.87089- 6 2.44755- 2 5.80000+ 1 1.44700- 5 2.44967- 2 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.10000+ 1 2.25105- 2 7.24000- 5 6.00000+ 0 1.30000+ 1 9.14453- 2 6.74100- 4 6.00000+ 0 1.40000+ 1 2.95336- 2 9.06700- 4 6.00000+ 0 1.60000+ 1 2.62370- 3 3.31220- 3 6.00000+ 0 1.80000+ 1 2.34340- 2 3.48700- 3 6.00000+ 0 1.90000+ 1 4.91351- 3 3.80440- 3 6.00000+ 0 2.10000+ 1 1.86652- 2 4.08488- 3 6.00000+ 0 2.20000+ 1 6.27704- 3 4.14218- 3 6.00000+ 0 2.40000+ 1 9.91850- 4 4.51298- 3 6.00000+ 0 2.50000+ 1 1.38767- 3 4.52873- 3 6.00000+ 0 2.70000+ 1 6.46901- 4 4.64013- 3 6.00000+ 0 2.90000+ 1 5.37224- 3 4.71174- 3 6.00000+ 0 3.00000+ 1 1.18803- 3 4.79238- 3 6.00000+ 0 3.20000+ 1 3.76914- 3 4.89861- 3 6.00000+ 0 3.30000+ 1 1.27106- 3 4.91065- 3 8.00000+ 0 8.00000+ 0 3.06550- 4 1.14564- 2 8.00000+ 0 1.00000+ 1 1.41621- 2 1.18309- 2 8.00000+ 0 1.10000+ 1 1.18508- 3 1.30111- 2 8.00000+ 0 1.30000+ 1 2.86844- 3 1.36128- 2 8.00000+ 0 1.40000+ 1 8.02588- 4 1.38454- 2 8.00000+ 0 1.60000+ 1 1.25515- 4 1.62509- 2 8.00000+ 0 1.80000+ 1 2.48155- 3 1.64257- 2 8.00000+ 0 1.90000+ 1 2.84096- 4 1.67431- 2 8.00000+ 0 2.10000+ 1 5.25735- 4 1.70236- 2 8.00000+ 0 2.20000+ 1 1.24789- 4 1.70809- 2 8.00000+ 0 2.40000+ 1 5.23763- 5 1.74517- 2 8.00000+ 0 2.50000+ 1 3.98277- 5 1.74674- 2 8.00000+ 0 2.70000+ 1 3.16198- 5 1.75788- 2 8.00000+ 0 2.90000+ 1 5.73000- 4 1.76504- 2 8.00000+ 0 3.00000+ 1 6.92766- 5 1.77311- 2 8.00000+ 0 3.20000+ 1 1.03796- 4 1.78373- 2 8.00000+ 0 3.30000+ 1 2.36546- 5 1.78493- 2 1.00000+ 1 1.00000+ 1 1.53740- 2 1.22054- 2 1.00000+ 1 1.10000+ 1 3.20198- 2 1.33856- 2 1.00000+ 1 1.30000+ 1 1.59422- 2 1.39873- 2 1.00000+ 1 1.40000+ 1 1.88590- 2 1.42199- 2 1.00000+ 1 1.60000+ 1 3.92177- 3 1.66254- 2 1.00000+ 1 1.80000+ 1 6.83886- 3 1.68002- 2 1.00000+ 1 1.90000+ 1 8.32973- 3 1.71176- 2 1.00000+ 1 2.10000+ 1 4.04170- 3 1.73981- 2 1.00000+ 1 2.20000+ 1 4.82703- 3 1.74554- 2 1.00000+ 1 2.40000+ 1 3.17882- 4 1.78262- 2 1.00000+ 1 2.50000+ 1 2.44020- 4 1.78419- 2 1.00000+ 1 2.70000+ 1 1.05817- 3 1.79533- 2 1.00000+ 1 2.90000+ 1 1.67940- 3 1.80249- 2 1.00000+ 1 3.00000+ 1 2.07198- 3 1.81056- 2 1.00000+ 1 3.20000+ 1 8.54672- 4 1.82118- 2 1.00000+ 1 3.30000+ 1 1.00968- 3 1.82238- 2 1.10000+ 1 1.10000+ 1 5.98135- 4 1.45658- 2 1.10000+ 1 1.30000+ 1 1.09292- 2 1.51675- 2 1.10000+ 1 1.40000+ 1 1.75118- 3 1.54001- 2 1.10000+ 1 1.60000+ 1 2.71788- 4 1.78056- 2 1.10000+ 1 1.80000+ 1 5.59015- 3 1.79804- 2 1.10000+ 1 1.90000+ 1 2.70581- 4 1.82978- 2 1.10000+ 1 2.10000+ 1 2.39402- 3 1.85783- 2 1.10000+ 1 2.20000+ 1 3.74849- 4 1.86356- 2 1.10000+ 1 2.40000+ 1 8.88298- 5 1.90064- 2 1.10000+ 1 2.50000+ 1 4.29642- 5 1.90221- 2 1.10000+ 1 2.70000+ 1 6.99999- 5 1.91335- 2 1.10000+ 1 2.90000+ 1 1.28803- 3 1.92051- 2 1.10000+ 1 3.00000+ 1 6.51723- 5 1.92858- 2 1.10000+ 1 3.20000+ 1 4.89510- 4 1.93920- 2 1.10000+ 1 3.30000+ 1 7.55519- 5 1.94040- 2 1.30000+ 1 1.30000+ 1 1.03512- 2 1.57692- 2 1.30000+ 1 1.40000+ 1 3.89859- 2 1.60018- 2 1.30000+ 1 1.60000+ 1 7.97000- 4 1.84073- 2 1.30000+ 1 1.80000+ 1 2.66913- 3 1.85821- 2 1.30000+ 1 1.90000+ 1 2.59601- 3 1.88995- 2 1.30000+ 1 2.10000+ 1 4.36143- 3 1.91800- 2 1.30000+ 1 2.20000+ 1 8.88304- 3 1.92373- 2 1.30000+ 1 2.40000+ 1 9.44020- 4 1.96081- 2 1.30000+ 1 2.50000+ 1 1.85404- 3 1.96238- 2 1.30000+ 1 2.70000+ 1 2.15790- 4 1.97352- 2 1.30000+ 1 2.90000+ 1 6.15256- 4 1.98068- 2 1.30000+ 1 3.00000+ 1 6.31902- 4 1.98875- 2 1.30000+ 1 3.20000+ 1 8.89707- 4 1.99937- 2 1.30000+ 1 3.30000+ 1 1.81253- 3 2.00057- 2 1.40000+ 1 1.40000+ 1 1.90911- 3 1.62344- 2 1.40000+ 1 1.60000+ 1 1.79350- 4 1.86399- 2 1.40000+ 1 1.80000+ 1 2.73893- 3 1.88147- 2 1.40000+ 1 1.90000+ 1 3.85238- 4 1.91321- 2 1.40000+ 1 2.10000+ 1 6.75071- 3 1.94126- 2 1.40000+ 1 2.20000+ 1 7.96524- 4 1.94699- 2 1.40000+ 1 2.40000+ 1 3.75581- 4 1.98407- 2 1.40000+ 1 2.50000+ 1 1.41927- 4 1.98564- 2 1.40000+ 1 2.70000+ 1 4.61026- 5 1.99678- 2 1.40000+ 1 2.90000+ 1 6.02962- 4 2.00394- 2 1.40000+ 1 3.00000+ 1 9.22031- 5 2.01201- 2 1.40000+ 1 3.20000+ 1 1.31308- 3 2.02263- 2 1.40000+ 1 3.30000+ 1 1.60271- 4 2.02383- 2 1.60000+ 1 1.60000+ 1 1.23091- 5 2.10454- 2 1.60000+ 1 1.80000+ 1 6.90597- 4 2.12202- 2 1.60000+ 1 1.90000+ 1 6.54136- 5 2.15376- 2 1.60000+ 1 2.10000+ 1 1.43613- 4 2.18181- 2 1.60000+ 1 2.20000+ 1 2.75165- 5 2.18754- 2 1.60000+ 1 2.40000+ 1 1.23091- 5 2.22462- 2 1.60000+ 1 2.50000+ 1 7.72399- 6 2.22619- 2 1.60000+ 1 2.70000+ 1 6.03435- 6 2.23733- 2 1.60000+ 1 2.90000+ 1 1.59542- 4 2.24449- 2 1.60000+ 1 3.00000+ 1 1.59307- 5 2.25256- 2 1.60000+ 1 3.20000+ 1 2.82408- 5 2.26318- 2 1.60000+ 1 3.30000+ 1 5.06882- 6 2.26438- 2 1.80000+ 1 1.80000+ 1 7.23631- 4 2.13950- 2 1.80000+ 1 1.90000+ 1 1.46057- 3 2.17124- 2 1.80000+ 1 2.10000+ 1 6.67150- 4 2.19929- 2 1.80000+ 1 2.20000+ 1 7.09410- 4 2.20502- 2 1.80000+ 1 2.40000+ 1 4.39289- 5 2.24210- 2 1.80000+ 1 2.50000+ 1 2.51031- 5 2.24367- 2 1.80000+ 1 2.70000+ 1 1.86580- 4 2.25481- 2 1.80000+ 1 2.90000+ 1 3.51206- 4 2.26197- 2 1.80000+ 1 3.00000+ 1 3.63504- 4 2.27004- 2 1.80000+ 1 3.20000+ 1 1.40728- 4 2.28066- 2 1.80000+ 1 3.30000+ 1 1.48687- 4 2.28186- 2 1.90000+ 1 1.90000+ 1 3.06547- 5 2.20298- 2 1.90000+ 1 2.10000+ 1 5.72276- 4 2.23103- 2 1.90000+ 1 2.20000+ 1 8.30314- 5 2.23676- 2 1.90000+ 1 2.40000+ 1 1.97924- 5 2.27384- 2 1.90000+ 1 2.50000+ 1 8.68952- 6 2.27541- 2 1.90000+ 1 2.70000+ 1 1.68962- 5 2.28655- 2 1.90000+ 1 2.90000+ 1 3.36716- 4 2.29371- 2 1.90000+ 1 3.00000+ 1 1.47243- 5 2.30178- 2 1.90000+ 1 3.20000+ 1 1.17064- 4 2.31240- 2 1.90000+ 1 3.30000+ 1 1.66538- 5 2.31360- 2 2.10000+ 1 2.10000+ 1 4.58601- 4 2.25908- 2 2.10000+ 1 2.20000+ 1 1.60443- 3 2.26481- 2 2.10000+ 1 2.40000+ 1 1.38303- 4 2.30189- 2 2.10000+ 1 2.50000+ 1 2.71306- 4 2.30346- 2 2.10000+ 1 2.70000+ 1 3.86192- 5 2.31460- 2 2.10000+ 1 2.90000+ 1 1.53034- 4 2.32176- 2 2.10000+ 1 3.00000+ 1 1.39520- 4 2.32983- 2 2.10000+ 1 3.20000+ 1 1.86825- 4 2.34045- 2 2.10000+ 1 3.30000+ 1 3.29956- 4 2.34165- 2 2.20000+ 1 2.20000+ 1 8.42390- 5 2.27054- 2 2.20000+ 1 2.40000+ 1 5.98619- 5 2.30762- 2 2.20000+ 1 2.50000+ 1 2.31718- 5 2.30919- 2 2.20000+ 1 2.70000+ 1 7.00003- 6 2.32033- 2 2.20000+ 1 2.90000+ 1 1.56657- 4 2.32749- 2 2.20000+ 1 3.00000+ 1 2.00341- 5 2.33556- 2 2.20000+ 1 3.20000+ 1 3.14522- 4 2.34618- 2 2.20000+ 1 3.30000+ 1 3.37929- 5 2.34738- 2 2.40000+ 1 2.40000+ 1 3.62065- 6 2.34470- 2 2.40000+ 1 2.50000+ 1 2.41377- 5 2.34627- 2 2.40000+ 1 2.70000+ 1 3.13788- 6 2.35741- 2 2.40000+ 1 2.90000+ 1 9.89590- 6 2.36457- 2 2.40000+ 1 3.00000+ 1 4.82763- 6 2.37264- 2 2.40000+ 1 3.20000+ 1 2.58267- 5 2.38326- 2 2.40000+ 1 3.30000+ 1 1.13445- 5 2.38446- 2 2.50000+ 1 2.50000+ 1 1.44822- 6 2.34785- 2 2.50000+ 1 2.70000+ 1 1.93109- 6 2.35899- 2 2.50000+ 1 2.90000+ 1 5.06885- 6 2.36615- 2 2.50000+ 1 3.00000+ 1 1.93109- 6 2.37421- 2 2.50000+ 1 3.20000+ 1 5.09289- 5 2.38483- 2 2.50000+ 1 3.30000+ 1 4.34473- 6 2.38604- 2 2.70000+ 1 2.70000+ 1 7.24130- 7 2.37013- 2 2.70000+ 1 2.90000+ 1 4.32061- 5 2.37729- 2 2.70000+ 1 3.00000+ 1 4.10342- 6 2.38535- 2 2.70000+ 1 3.20000+ 1 7.48243- 6 2.39597- 2 2.70000+ 1 3.30000+ 1 1.20688- 6 2.39718- 2 2.90000+ 1 2.90000+ 1 4.24825- 5 2.38445- 2 2.90000+ 1 3.00000+ 1 8.37559- 5 2.39251- 2 2.90000+ 1 3.20000+ 1 3.23442- 5 2.40313- 2 2.90000+ 1 3.30000+ 1 3.28271- 5 2.40434- 2 3.00000+ 1 3.00000+ 1 1.68963- 6 2.40058- 2 3.00000+ 1 3.20000+ 1 2.84820- 5 2.41120- 2 3.00000+ 1 3.30000+ 1 4.10335- 6 2.41240- 2 3.20000+ 1 3.20000+ 1 1.90685- 5 2.42182- 2 3.20000+ 1 3.30000+ 1 6.49314- 5 2.42303- 2 3.30000+ 1 3.30000+ 1 3.52550- 6 2.42423- 2 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 2.49568- 2 1.29387- 2 1.00000+ 1 3.27808- 4 1.33132- 2 1.10000+ 1 3.01198- 4 1.44934- 2 1.30000+ 1 3.78218- 2 1.50951- 2 1.40000+ 1 3.31968- 1 1.53277- 2 1.60000+ 1 6.42716- 3 1.77332- 2 1.80000+ 1 7.11646- 5 1.79080- 2 1.90000+ 1 8.39075- 5 1.82254- 2 2.10000+ 1 7.81665- 3 1.85059- 2 2.20000+ 1 7.20726- 2 1.85632- 2 2.40000+ 1 1.21549- 4 1.89340- 2 2.50000+ 1 6.65776- 4 1.89497- 2 2.70000+ 1 1.71029- 3 1.90611- 2 2.90000+ 1 1.72919- 5 1.91327- 2 3.00000+ 1 2.12049- 5 1.92134- 2 3.20000+ 1 1.59699- 3 1.93196- 2 3.30000+ 1 1.47369- 2 1.93316- 2 3.50000+ 1 9.72504- 6 1.94475- 2 3.60000+ 1 5.17217- 5 1.94492- 2 4.10000+ 1 3.45708- 4 1.93992- 2 4.30000+ 1 2.93568- 6 1.94210- 2 4.40000+ 1 3.19288- 6 1.94345- 2 5.80000+ 1 2.94078- 5 1.94557- 2 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.95571- 4 6.41540- 3 8.00000+ 0 1.00000+ 1 1.24974- 4 6.78990- 3 8.00000+ 0 1.10000+ 1 1.70933- 2 7.97010- 3 8.00000+ 0 1.30000+ 1 3.05186- 3 8.57180- 3 8.00000+ 0 1.40000+ 1 6.57415- 3 8.80440- 3 8.00000+ 0 1.60000+ 1 1.26125- 4 1.12099- 2 8.00000+ 0 1.80000+ 1 1.86010- 5 1.13847- 2 8.00000+ 0 1.90000+ 1 2.91212- 3 1.17021- 2 8.00000+ 0 2.10000+ 1 3.93217- 4 1.19826- 2 8.00000+ 0 2.20000+ 1 8.13192- 4 1.20399- 2 8.00000+ 0 2.40000+ 1 3.91770- 4 1.24107- 2 8.00000+ 0 2.50000+ 1 6.47239- 4 1.24264- 2 8.00000+ 0 2.70000+ 1 3.16789- 5 1.25378- 2 8.00000+ 0 2.90000+ 1 4.35948- 6 1.26094- 2 8.00000+ 0 3.00000+ 1 6.57110- 4 1.26901- 2 8.00000+ 0 3.20000+ 1 7.20763- 5 1.27963- 2 8.00000+ 0 3.30000+ 1 1.44450- 4 1.28083- 2 1.00000+ 1 1.00000+ 1 9.30043- 6 7.16440- 3 1.00000+ 1 1.10000+ 1 2.86207- 2 8.34460- 3 1.00000+ 1 1.30000+ 1 1.22615- 3 8.94630- 3 1.00000+ 1 1.40000+ 1 8.00942- 3 9.17890- 3 1.00000+ 1 1.60000+ 1 2.76100- 5 1.15844- 2 1.00000+ 1 1.80000+ 1 1.16248- 5 1.17592- 2 1.00000+ 1 1.90000+ 1 5.05976- 3 1.20766- 2 1.00000+ 1 2.10000+ 1 2.38319- 4 1.23571- 2 1.00000+ 1 2.20000+ 1 1.31157- 3 1.24144- 2 1.00000+ 1 2.40000+ 1 3.07199- 4 1.27852- 2 1.00000+ 1 2.50000+ 1 7.10304- 4 1.28009- 2 1.00000+ 1 2.70000+ 1 7.26611- 6 1.29123- 2 1.00000+ 1 2.90000+ 1 3.77832- 6 1.29839- 2 1.00000+ 1 3.00000+ 1 1.15084- 3 1.30646- 2 1.00000+ 1 3.20000+ 1 4.96981- 5 1.31708- 2 1.00000+ 1 3.30000+ 1 2.53150- 4 1.31828- 2 1.10000+ 1 1.10000+ 1 3.28607- 2 9.52480- 3 1.10000+ 1 1.30000+ 1 3.44560- 2 1.01265- 2 1.10000+ 1 1.40000+ 1 4.21383- 2 1.03591- 2 1.10000+ 1 1.60000+ 1 4.64263- 3 1.27646- 2 1.10000+ 1 1.80000+ 1 6.96639- 3 1.29394- 2 1.10000+ 1 1.90000+ 1 1.41433- 2 1.32568- 2 1.10000+ 1 2.10000+ 1 8.13419- 3 1.35373- 2 1.10000+ 1 2.20000+ 1 9.93789- 3 1.35946- 2 1.10000+ 1 2.40000+ 1 8.99217- 4 1.39654- 2 1.10000+ 1 2.50000+ 1 1.05264- 3 1.39811- 2 1.10000+ 1 2.70000+ 1 1.24594- 3 1.40925- 2 1.10000+ 1 2.90000+ 1 1.74126- 3 1.41641- 2 1.10000+ 1 3.00000+ 1 3.38852- 3 1.42448- 2 1.10000+ 1 3.20000+ 1 1.69736- 3 1.43510- 2 1.10000+ 1 3.30000+ 1 2.04466- 3 1.43630- 2 1.30000+ 1 1.30000+ 1 4.36805- 3 1.07282- 2 1.30000+ 1 1.40000+ 1 8.10736- 2 1.09608- 2 1.30000+ 1 1.60000+ 1 7.26585- 4 1.33663- 2 1.30000+ 1 1.80000+ 1 3.42350- 4 1.35411- 2 1.30000+ 1 1.90000+ 1 5.45667- 3 1.38585- 2 1.30000+ 1 2.10000+ 1 1.71324- 3 1.41390- 2 1.30000+ 1 2.20000+ 1 1.33691- 2 1.41963- 2 1.30000+ 1 2.40000+ 1 4.74870- 4 1.45671- 2 1.30000+ 1 2.50000+ 1 1.56857- 3 1.45828- 2 1.30000+ 1 2.70000+ 1 1.91812- 4 1.46942- 2 1.30000+ 1 2.90000+ 1 8.71888- 5 1.47658- 2 1.30000+ 1 3.00000+ 1 1.20927- 3 1.48465- 2 1.30000+ 1 3.20000+ 1 3.45844- 4 1.49527- 2 1.30000+ 1 3.30000+ 1 2.55218- 3 1.49647- 2 1.40000+ 1 1.40000+ 1 5.32919- 2 1.11934- 2 1.40000+ 1 1.60000+ 1 1.58685- 3 1.35989- 2 1.40000+ 1 1.80000+ 1 1.75081- 3 1.37737- 2 1.40000+ 1 1.90000+ 1 7.42238- 3 1.40911- 2 1.40000+ 1 2.10000+ 1 1.60024- 2 1.43716- 2 1.40000+ 1 2.20000+ 1 2.02105- 2 1.44289- 2 1.40000+ 1 2.40000+ 1 4.92578- 3 1.47997- 2 1.40000+ 1 2.50000+ 1 4.40379- 3 1.48154- 2 1.40000+ 1 2.70000+ 1 4.22005- 4 1.49268- 2 1.40000+ 1 2.90000+ 1 4.28402- 4 1.49984- 2 1.40000+ 1 3.00000+ 1 1.70141- 3 1.50791- 2 1.40000+ 1 3.20000+ 1 3.22083- 3 1.51853- 2 1.40000+ 1 3.30000+ 1 3.99222- 3 1.51973- 2 1.60000+ 1 1.60000+ 1 1.45307- 5 1.60044- 2 1.60000+ 1 1.80000+ 1 4.94074- 6 1.61792- 2 1.60000+ 1 1.90000+ 1 7.88507- 4 1.64966- 2 1.60000+ 1 2.10000+ 1 9.99776- 5 1.67771- 2 1.60000+ 1 2.20000+ 1 2.05762- 4 1.68344- 2 1.60000+ 1 2.40000+ 1 4.62099- 5 1.72052- 2 1.60000+ 1 2.50000+ 1 8.54453- 5 1.72209- 2 1.60000+ 1 2.70000+ 1 7.26605- 6 1.73323- 2 1.60000+ 1 2.90000+ 1 1.16247- 6 1.74039- 2 1.60000+ 1 3.00000+ 1 1.77577- 4 1.74846- 2 1.60000+ 1 3.20000+ 1 1.86011- 5 1.75908- 2 1.60000+ 1 3.30000+ 1 3.69109- 5 1.76028- 2 1.80000+ 1 1.80000+ 1 2.90638- 7 1.63540- 2 1.80000+ 1 1.90000+ 1 1.21926- 3 1.66714- 2 1.80000+ 1 2.10000+ 1 6.04501- 5 1.69519- 2 1.80000+ 1 2.20000+ 1 3.21441- 4 1.70092- 2 1.80000+ 1 2.40000+ 1 4.59202- 5 1.73800- 2 1.80000+ 1 2.50000+ 1 9.91030- 5 1.73957- 2 1.80000+ 1 2.70000+ 1 1.45309- 6 1.75071- 2 1.80000+ 1 2.90000+ 1 2.90638- 7 1.75787- 2 1.80000+ 1 3.00000+ 1 2.76692- 4 1.76594- 2 1.80000+ 1 3.20000+ 1 1.22064- 5 1.77656- 2 1.80000+ 1 3.30000+ 1 6.27796- 5 1.77776- 2 1.90000+ 1 1.90000+ 1 1.44993- 3 1.69888- 2 1.90000+ 1 2.10000+ 1 1.29385- 3 1.72693- 2 1.90000+ 1 2.20000+ 1 1.72952- 3 1.73266- 2 1.90000+ 1 2.40000+ 1 1.17418- 4 1.76974- 2 1.90000+ 1 2.50000+ 1 1.44452- 4 1.77131- 2 1.90000+ 1 2.70000+ 1 2.11580- 4 1.78245- 2 1.90000+ 1 2.90000+ 1 3.03999- 4 1.78961- 2 1.90000+ 1 3.00000+ 1 6.86751- 4 1.79768- 2 1.90000+ 1 3.20000+ 1 2.70293- 4 1.80830- 2 1.90000+ 1 3.30000+ 1 3.54860- 4 1.80950- 2 2.10000+ 1 2.10000+ 1 1.60729- 4 1.75498- 2 2.10000+ 1 2.20000+ 1 2.78077- 3 1.76071- 2 2.10000+ 1 2.40000+ 1 6.07438- 5 1.79779- 2 2.10000+ 1 2.50000+ 1 1.87459- 4 1.79936- 2 2.10000+ 1 2.70000+ 1 2.67380- 5 1.81050- 2 2.10000+ 1 2.90000+ 1 1.51134- 5 1.81766- 2 2.10000+ 1 3.00000+ 1 2.87141- 4 1.82573- 2 2.10000+ 1 3.20000+ 1 6.42306- 5 1.83635- 2 2.10000+ 1 3.30000+ 1 5.35654- 4 1.83755- 2 2.20000+ 1 2.20000+ 1 1.93096- 3 1.76644- 2 2.20000+ 1 2.40000+ 1 6.28032- 4 1.80352- 2 2.20000+ 1 2.50000+ 1 5.49566- 4 1.80509- 2 2.20000+ 1 2.70000+ 1 5.52213- 5 1.81623- 2 2.20000+ 1 2.90000+ 1 7.99230- 5 1.82339- 2 2.20000+ 1 3.00000+ 1 3.95266- 4 1.83146- 2 2.20000+ 1 3.20000+ 1 5.64682- 4 1.84208- 2 2.20000+ 1 3.30000+ 1 7.62916- 4 1.84328- 2 2.40000+ 1 2.40000+ 1 3.19700- 6 1.84060- 2 2.40000+ 1 2.50000+ 1 9.35837- 5 1.84217- 2 2.40000+ 1 2.70000+ 1 1.04624- 5 1.85331- 2 2.40000+ 1 2.90000+ 1 1.04624- 5 1.86047- 2 2.40000+ 1 3.00000+ 1 2.49944- 5 1.86854- 2 2.40000+ 1 3.20000+ 1 1.10440- 5 1.87916- 2 2.40000+ 1 3.30000+ 1 1.13344- 4 1.88036- 2 2.50000+ 1 2.50000+ 1 3.31323- 5 1.84375- 2 2.50000+ 1 2.70000+ 1 1.97628- 5 1.85489- 2 2.50000+ 1 2.90000+ 1 2.20883- 5 1.86205- 2 2.50000+ 1 3.00000+ 1 3.13894- 5 1.87011- 2 2.50000+ 1 3.20000+ 1 3.37129- 5 1.88073- 2 2.50000+ 1 3.30000+ 1 9.85228- 5 1.88194- 2 2.70000+ 1 2.70000+ 1 8.71915- 7 1.86603- 2 2.70000+ 1 2.90000+ 1 2.90635- 7 1.87319- 2 2.70000+ 1 3.00000+ 1 4.76637- 5 1.88125- 2 2.70000+ 1 3.20000+ 1 4.94075- 6 1.89187- 2 2.70000+ 1 3.30000+ 1 9.88166- 6 1.89308- 2 2.90000+ 1 3.00000+ 1 6.88784- 5 1.88841- 2 2.90000+ 1 3.20000+ 1 2.90629- 6 1.89903- 2 2.90000+ 1 3.30000+ 1 1.56938- 5 1.90024- 2 3.00000+ 1 3.00000+ 1 8.10844- 5 1.89648- 2 3.00000+ 1 3.20000+ 1 5.98698- 5 1.90710- 2 3.00000+ 1 3.30000+ 1 8.10844- 5 1.90830- 2 3.20000+ 1 3.20000+ 1 6.39425- 6 1.91772- 2 3.20000+ 1 3.30000+ 1 1.08985- 4 1.91893- 2 3.30000+ 1 3.30000+ 1 7.52745- 5 1.92013- 2 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.06940- 5 3.74500- 4 1.10000+ 1 1.78550- 3 1.55470- 3 1.80000+ 1 3.33600- 3 4.96930- 3 1.90000+ 1 1.38080- 3 5.28670- 3 2.90000+ 1 9.36351- 4 6.19404- 3 3.00000+ 1 4.65041- 4 6.27468- 3 4.30000+ 1 1.64070- 4 6.48229- 3 4.40000+ 1 7.35631- 5 6.49579- 3 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.90000+ 1 1.69059- 2 4.52400- 5 1.00000+ 1 3.00000+ 1 1.90098- 2 1.25880- 4 1.00000+ 1 3.20000+ 1 1.12064- 2 2.32110- 4 1.00000+ 1 3.30000+ 1 1.41925- 2 2.44150- 4 1.00000+ 1 3.50000+ 1 9.75912- 4 3.59970- 4 1.00000+ 1 3.60000+ 1 1.20858- 3 3.61660- 4 1.00000+ 1 4.10000+ 1 2.98274- 3 3.11710- 4 1.00000+ 1 4.30000+ 1 2.63434- 3 3.33490- 4 1.00000+ 1 4.40000+ 1 2.57638- 3 3.46990- 4 1.00000+ 1 5.80000+ 1 2.40508- 4 3.68220- 4 1.10000+ 1 1.80000+ 1 5.11127- 2 7.00000- 7 1.10000+ 1 1.90000+ 1 3.24038- 2 3.18100- 4 1.10000+ 1 2.10000+ 1 8.26181- 3 5.98580- 4 1.10000+ 1 2.20000+ 1 2.51611- 2 6.55880- 4 1.10000+ 1 2.40000+ 1 1.99222- 1 1.02668- 3 1.10000+ 1 2.50000+ 1 2.37360- 1 1.04243- 3 1.10000+ 1 2.70000+ 1 1.12613- 2 1.15383- 3 1.10000+ 1 2.90000+ 1 1.18040- 2 1.22544- 3 1.10000+ 1 3.00000+ 1 7.94719- 3 1.30608- 3 1.10000+ 1 3.20000+ 1 2.09816- 3 1.41231- 3 1.10000+ 1 3.30000+ 1 5.64326- 3 1.42435- 3 1.10000+ 1 3.50000+ 1 9.20906- 3 1.54017- 3 1.10000+ 1 3.60000+ 1 1.04118- 2 1.54186- 3 1.10000+ 1 4.10000+ 1 2.16732- 3 1.49191- 3 1.10000+ 1 4.30000+ 1 1.88519- 3 1.51369- 3 1.10000+ 1 4.40000+ 1 1.10894- 3 1.52719- 3 1.10000+ 1 5.80000+ 1 1.72947- 4 1.54842- 3 1.30000+ 1 1.60000+ 1 2.68173- 2 4.27600- 4 1.30000+ 1 1.80000+ 1 5.49777- 3 6.02400- 4 1.30000+ 1 1.90000+ 1 1.08826- 2 9.19800- 4 1.30000+ 1 2.10000+ 1 8.82760- 3 1.20028- 3 1.30000+ 1 2.20000+ 1 1.01310- 2 1.25758- 3 1.30000+ 1 2.40000+ 1 1.01780- 2 1.62838- 3 1.30000+ 1 2.50000+ 1 9.86040- 3 1.64413- 3 1.30000+ 1 2.70000+ 1 4.38872- 3 1.75553- 3 1.30000+ 1 2.90000+ 1 1.09475- 3 1.82714- 3 1.30000+ 1 3.00000+ 1 1.97924- 3 1.90778- 3 1.30000+ 1 3.20000+ 1 1.49662- 3 2.01401- 3 1.30000+ 1 3.30000+ 1 1.86980- 3 2.02605- 3 1.30000+ 1 3.50000+ 1 4.98107- 4 2.14187- 3 1.30000+ 1 3.60000+ 1 4.33245- 4 2.14356- 3 1.30000+ 1 4.10000+ 1 7.74474- 4 2.09361- 3 1.30000+ 1 4.30000+ 1 1.72018- 4 2.11539- 3 1.30000+ 1 4.40000+ 1 2.63096- 4 2.12889- 3 1.30000+ 1 5.80000+ 1 6.13969- 5 2.15012- 3 1.40000+ 1 1.60000+ 1 3.60281- 2 6.60200- 4 1.40000+ 1 1.80000+ 1 8.21814- 4 8.35000- 4 1.40000+ 1 1.90000+ 1 1.27396- 2 1.15240- 3 1.40000+ 1 2.10000+ 1 1.17841- 2 1.43288- 3 1.40000+ 1 2.20000+ 1 1.57068- 2 1.49018- 3 1.40000+ 1 2.40000+ 1 1.25617- 2 1.86098- 3 1.40000+ 1 2.50000+ 1 1.81775- 2 1.87673- 3 1.40000+ 1 2.70000+ 1 5.78935- 3 1.98813- 3 1.40000+ 1 2.90000+ 1 2.50675- 4 2.05974- 3 1.40000+ 1 3.00000+ 1 2.27139- 3 2.14038- 3 1.40000+ 1 3.20000+ 1 2.23311- 3 2.24661- 3 1.40000+ 1 3.30000+ 1 2.79779- 3 2.25865- 3 1.40000+ 1 3.50000+ 1 5.73328- 4 2.37447- 3 1.40000+ 1 3.60000+ 1 8.22504- 4 2.37616- 3 1.40000+ 1 4.10000+ 1 1.01681- 3 2.32621- 3 1.40000+ 1 4.30000+ 1 4.33389- 5 2.34799- 3 1.40000+ 1 4.40000+ 1 3.01636- 4 2.36149- 3 1.40000+ 1 5.80000+ 1 8.05254- 5 2.38272- 3 1.60000+ 1 1.60000+ 1 2.21170- 3 3.06570- 3 1.60000+ 1 1.80000+ 1 3.96778- 3 3.24050- 3 1.60000+ 1 1.90000+ 1 5.94662- 3 3.55790- 3 1.60000+ 1 2.10000+ 1 7.28703- 3 3.83838- 3 1.60000+ 1 2.20000+ 1 9.98205- 3 3.89568- 3 1.60000+ 1 2.40000+ 1 5.53266- 3 4.26648- 3 1.60000+ 1 2.50000+ 1 6.77772- 3 4.28223- 3 1.60000+ 1 2.70000+ 1 9.54381- 4 4.39363- 3 1.60000+ 1 2.90000+ 1 1.00321- 3 4.46524- 3 1.60000+ 1 3.00000+ 1 1.47783- 3 4.54588- 3 1.60000+ 1 3.20000+ 1 1.49532- 3 4.65211- 3 1.60000+ 1 3.30000+ 1 2.02571- 3 4.66415- 3 1.60000+ 1 3.50000+ 1 3.59410- 4 4.77997- 3 1.60000+ 1 3.60000+ 1 4.20943- 4 4.78166- 3 1.60000+ 1 4.10000+ 1 1.81912- 4 4.73171- 3 1.60000+ 1 4.30000+ 1 1.64793- 4 4.75349- 3 1.60000+ 1 4.40000+ 1 2.08398- 4 4.76699- 3 1.60000+ 1 5.80000+ 1 1.45804- 5 4.78822- 3 1.80000+ 1 1.80000+ 1 1.40046- 4 3.41530- 3 1.80000+ 1 1.90000+ 1 4.97714- 4 3.73270- 3 1.80000+ 1 2.10000+ 1 2.27255- 4 4.01318- 3 1.80000+ 1 2.20000+ 1 8.82804- 5 4.07048- 3 1.80000+ 1 2.40000+ 1 1.81911- 5 4.44128- 3 1.80000+ 1 2.50000+ 1 5.53361- 4 4.45703- 3 1.80000+ 1 2.70000+ 1 6.35353- 4 4.56843- 3 1.80000+ 1 2.90000+ 1 4.94916- 5 4.64004- 3 1.80000+ 1 3.00000+ 1 8.27947- 5 4.72068- 3 1.80000+ 1 3.20000+ 1 3.90577- 5 4.82691- 3 1.80000+ 1 3.30000+ 1 2.35420- 5 4.83895- 3 1.80000+ 1 3.50000+ 1 5.35021- 7 4.95477- 3 1.80000+ 1 3.60000+ 1 2.15353- 5 4.95646- 3 1.80000+ 1 4.10000+ 1 1.12093- 4 4.90651- 3 1.80000+ 1 4.30000+ 1 7.49054- 6 4.92829- 3 1.80000+ 1 4.40000+ 1 1.08345- 5 4.94179- 3 1.80000+ 1 5.80000+ 1 8.82804- 6 4.96302- 3 1.90000+ 1 1.90000+ 1 3.94591- 4 4.05010- 3 1.90000+ 1 2.10000+ 1 7.33824- 4 4.33058- 3 1.90000+ 1 2.20000+ 1 1.57508- 3 4.38788- 3 1.90000+ 1 2.40000+ 1 1.14573- 3 4.75868- 3 1.90000+ 1 2.50000+ 1 1.55409- 3 4.77443- 3 1.90000+ 1 2.70000+ 1 9.56944- 4 4.88583- 3 1.90000+ 1 2.90000+ 1 1.08747- 4 4.95744- 3 1.90000+ 1 3.00000+ 1 1.67332- 4 5.03808- 3 1.90000+ 1 3.20000+ 1 1.44196- 4 5.14431- 3 1.90000+ 1 3.30000+ 1 3.02834- 4 5.15635- 3 1.90000+ 1 3.50000+ 1 7.02272- 5 5.27217- 3 1.90000+ 1 3.60000+ 1 8.26629- 5 5.27386- 3 1.90000+ 1 4.10000+ 1 1.69211- 4 5.22391- 3 1.90000+ 1 4.30000+ 1 1.73888- 5 5.24569- 3 1.90000+ 1 4.40000+ 1 2.28738- 5 5.25919- 3 1.90000+ 1 5.80000+ 1 1.33762- 5 5.28042- 3 2.10000+ 1 2.10000+ 1 1.03399- 4 4.61106- 3 2.10000+ 1 2.20000+ 1 1.97834- 4 4.66836- 3 2.10000+ 1 2.40000+ 1 4.52642- 4 5.03916- 3 2.10000+ 1 2.50000+ 1 2.43447- 3 5.05491- 3 2.10000+ 1 2.70000+ 1 1.13633- 3 5.16631- 3 2.10000+ 1 2.90000+ 1 3.46435- 5 5.23792- 3 2.10000+ 1 3.00000+ 1 1.36160- 4 5.31856- 3 2.10000+ 1 3.20000+ 1 3.31724- 5 5.42479- 3 2.10000+ 1 3.30000+ 1 3.41088- 5 5.43683- 3 2.10000+ 1 3.50000+ 1 2.60826- 5 5.55265- 3 2.10000+ 1 3.60000+ 1 1.07816- 4 5.55434- 3 2.10000+ 1 4.10000+ 1 1.99033- 4 5.50439- 3 2.10000+ 1 4.30000+ 1 5.08290- 6 5.52617- 3 2.10000+ 1 4.40000+ 1 1.80573- 5 5.53967- 3 2.10000+ 1 5.80000+ 1 1.57837- 5 5.56090- 3 2.20000+ 1 2.20000+ 1 2.12674- 4 4.72566- 3 2.20000+ 1 2.40000+ 1 2.07907- 3 5.09646- 3 2.20000+ 1 2.50000+ 1 1.42386- 3 5.11221- 3 2.20000+ 1 2.70000+ 1 1.54598- 3 5.22361- 3 2.20000+ 1 2.90000+ 1 1.55157- 5 5.29522- 3 2.20000+ 1 3.00000+ 1 2.86910- 4 5.37586- 3 2.20000+ 1 3.20000+ 1 2.91598- 5 5.48209- 3 2.20000+ 1 3.30000+ 1 7.07572- 5 5.49413- 3 2.20000+ 1 3.50000+ 1 9.32309- 5 5.60995- 3 2.20000+ 1 3.60000+ 1 6.90212- 5 5.61164- 3 2.20000+ 1 4.10000+ 1 2.70330- 4 5.56169- 3 2.20000+ 1 4.30000+ 1 2.40758- 6 5.58347- 3 2.20000+ 1 4.40000+ 1 3.79875- 5 5.59697- 3 2.20000+ 1 5.80000+ 1 2.14014- 5 5.61820- 3 2.40000+ 1 2.40000+ 1 6.24390- 4 5.46726- 3 2.40000+ 1 2.50000+ 1 4.08118- 3 5.48301- 3 2.40000+ 1 2.70000+ 1 7.84644- 4 5.59441- 3 2.40000+ 1 2.90000+ 1 5.35022- 6 5.66602- 3 2.40000+ 1 3.00000+ 1 1.48341- 4 5.74666- 3 2.40000+ 1 3.20000+ 1 8.21263- 5 5.85289- 3 2.40000+ 1 3.30000+ 1 4.39669- 4 5.86493- 3 2.40000+ 1 3.50000+ 1 7.28997- 5 5.98075- 3 2.40000+ 1 3.60000+ 1 1.90747- 4 5.98244- 3 2.40000+ 1 4.10000+ 1 1.35099- 4 5.93249- 3 2.40000+ 1 4.30000+ 1 9.36285- 7 5.95427- 3 2.40000+ 1 4.40000+ 1 1.83252- 5 5.96777- 3 2.40000+ 1 5.80000+ 1 1.07006- 5 5.98900- 3 2.50000+ 1 2.50000+ 1 1.40197- 3 5.49876- 3 2.50000+ 1 2.70000+ 1 9.58519- 4 5.61016- 3 2.50000+ 1 2.90000+ 1 1.19180- 4 5.68177- 3 2.50000+ 1 3.00000+ 1 2.14294- 4 5.76241- 3 2.50000+ 1 3.20000+ 1 4.97718- 4 5.86864- 3 2.50000+ 1 3.30000+ 1 2.78747- 4 5.88068- 3 2.50000+ 1 3.50000+ 1 1.95296- 4 5.99650- 3 2.50000+ 1 3.60000+ 1 1.44734- 4 5.99819- 3 2.50000+ 1 4.10000+ 1 1.64923- 4 5.94824- 3 2.50000+ 1 4.30000+ 1 1.88600- 5 5.97002- 3 2.50000+ 1 4.40000+ 1 2.68863- 5 5.98352- 3 2.50000+ 1 5.80000+ 1 1.29743- 5 6.00475- 3 2.70000+ 1 2.70000+ 1 9.41654- 5 5.72156- 3 2.70000+ 1 2.90000+ 1 1.62514- 4 5.79317- 3 2.70000+ 1 3.00000+ 1 2.37561- 4 5.87381- 3 2.70000+ 1 3.20000+ 1 2.35152- 4 5.98004- 3 2.70000+ 1 3.30000+ 1 3.16343- 4 5.99208- 3 2.70000+ 1 3.50000+ 1 5.12307- 5 6.10790- 3 2.70000+ 1 3.60000+ 1 5.97898- 5 6.10959- 3 2.70000+ 1 4.10000+ 1 3.53121- 5 6.05964- 3 2.70000+ 1 4.30000+ 1 2.67513- 5 6.08142- 3 2.70000+ 1 4.40000+ 1 3.35742- 5 6.09492- 3 2.70000+ 1 5.80000+ 1 2.80894- 6 6.11615- 3 2.90000+ 1 2.90000+ 1 4.28038- 6 5.86478- 3 2.90000+ 1 3.00000+ 1 1.75216- 5 5.94542- 3 2.90000+ 1 3.20000+ 1 5.88554- 6 6.05165- 3 2.90000+ 1 3.30000+ 1 4.54782- 6 6.06369- 3 2.90000+ 1 3.50000+ 1 1.33761- 7 6.17951- 3 2.90000+ 1 3.60000+ 1 4.81536- 6 6.18120- 3 2.90000+ 1 4.10000+ 1 2.87591- 5 6.13125- 3 2.90000+ 1 4.30000+ 1 1.33761- 6 6.15303- 3 2.90000+ 1 4.40000+ 1 2.27397- 6 6.16653- 3 2.90000+ 1 5.80000+ 1 2.27397- 6 6.18776- 3 3.00000+ 1 3.00000+ 1 1.68543- 5 6.02606- 3 3.00000+ 1 3.20000+ 1 2.70206- 5 6.13229- 3 3.00000+ 1 3.30000+ 1 5.56473- 5 6.14433- 3 3.00000+ 1 3.50000+ 1 9.22935- 6 6.26015- 3 3.00000+ 1 3.60000+ 1 1.12356- 5 6.26184- 3 3.00000+ 1 4.10000+ 1 4.20021- 5 6.21189- 3 3.00000+ 1 4.30000+ 1 2.80900- 6 6.23367- 3 3.00000+ 1 4.40000+ 1 4.54790- 6 6.24717- 3 3.00000+ 1 5.80000+ 1 3.34409- 6 6.26840- 3 3.20000+ 1 3.20000+ 1 2.40759- 6 6.23852- 3 3.20000+ 1 3.30000+ 1 5.08291- 6 6.25056- 3 3.20000+ 1 3.50000+ 1 4.81536- 6 6.36638- 3 3.20000+ 1 3.60000+ 1 2.32753- 5 6.36807- 3 3.20000+ 1 4.10000+ 1 4.11978- 5 6.31812- 3 3.20000+ 1 4.30000+ 1 9.36291- 7 6.33990- 3 3.20000+ 1 4.40000+ 1 3.61158- 6 6.35340- 3 3.20000+ 1 5.80000+ 1 3.21021- 6 6.37463- 3 3.30000+ 1 3.30000+ 1 5.61758- 6 6.26260- 3 3.30000+ 1 3.50000+ 1 2.07323- 5 6.37842- 3 3.30000+ 1 3.60000+ 1 1.37766- 5 6.38011- 3 3.30000+ 1 4.10000+ 1 5.53743- 5 6.33016- 3 3.30000+ 1 4.30000+ 1 6.68762- 7 6.35194- 3 3.30000+ 1 4.40000+ 1 7.35671- 6 6.36544- 3 3.30000+ 1 5.80000+ 1 4.41390- 6 6.38667- 3 3.50000+ 1 3.50000+ 1 1.87909- 6 6.49424- 3 3.50000+ 1 3.60000+ 1 9.66434- 6 6.49593- 3 3.50000+ 1 4.10000+ 1 8.85872- 6 6.44598- 3 3.50000+ 1 4.40000+ 1 1.07378- 6 6.48126- 3 3.50000+ 1 5.80000+ 1 6.71096- 7 6.50249- 3 3.60000+ 1 3.60000+ 1 3.51053- 6 6.49762- 3 3.60000+ 1 4.10000+ 1 1.03960- 5 6.44767- 3 3.60000+ 1 4.30000+ 1 8.10103- 7 6.46945- 3 3.60000+ 1 4.40000+ 1 1.48530- 6 6.48295- 3 3.60000+ 1 5.80000+ 1 8.10103- 7 6.50418- 3 4.10000+ 1 4.10000+ 1 3.62988- 6 6.39772- 3 4.10000+ 1 4.30000+ 1 5.08173- 6 6.41950- 3 4.10000+ 1 4.40000+ 1 6.38865- 6 6.43300- 3 4.10000+ 1 5.80000+ 1 5.80760- 7 6.45423- 3 4.30000+ 1 4.30000+ 1 1.33761- 7 6.44128- 3 4.30000+ 1 4.40000+ 1 4.01275- 7 6.45478- 3 4.30000+ 1 5.80000+ 1 4.01275- 7 6.47601- 3 4.40000+ 1 4.40000+ 1 2.31607- 7 6.46828- 3 4.40000+ 1 5.80000+ 1 4.63214- 7 6.48951- 3 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.60019- 3 1.78190- 3 1.60000+ 1 1.19270- 3 4.42000- 3 2.10000+ 1 5.46398- 3 5.19268- 3 2.70000+ 1 3.25849- 4 5.74793- 3 3.20000+ 1 1.44540- 3 6.00641- 3 4.10000+ 1 6.60898- 5 6.08601- 3 5.80000+ 1 5.70208- 6 6.14252- 3 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.17415- 2 2.24080- 4 1.10000+ 1 2.20000+ 1 2.03830- 2 2.81380- 4 1.10000+ 1 2.40000+ 1 2.84508- 2 6.52180- 4 1.10000+ 1 2.50000+ 1 2.24150- 2 6.67930- 4 1.10000+ 1 2.70000+ 1 3.15497- 3 7.79330- 4 1.10000+ 1 2.90000+ 1 4.82908- 3 8.50940- 4 1.10000+ 1 3.00000+ 1 1.63832- 3 9.31580- 4 1.10000+ 1 3.20000+ 1 2.21434- 3 1.03781- 3 1.10000+ 1 3.30000+ 1 3.64304- 3 1.04985- 3 1.10000+ 1 3.50000+ 1 1.45641- 3 1.16567- 3 1.10000+ 1 3.60000+ 1 1.12636- 3 1.16736- 3 1.10000+ 1 4.10000+ 1 5.81700- 4 1.11741- 3 1.10000+ 1 4.30000+ 1 7.07921- 4 1.13919- 3 1.10000+ 1 4.40000+ 1 2.20858- 4 1.15269- 3 1.10000+ 1 5.80000+ 1 4.63316- 5 1.17392- 3 1.30000+ 1 1.60000+ 1 4.79404- 2 5.31000- 5 1.30000+ 1 1.80000+ 1 5.09781- 2 2.27900- 4 1.30000+ 1 1.90000+ 1 2.86543- 2 5.45300- 4 1.30000+ 1 2.10000+ 1 1.66130- 2 8.25780- 4 1.30000+ 1 2.20000+ 1 2.99093- 2 8.83080- 4 1.30000+ 1 2.40000+ 1 1.53782- 1 1.25388- 3 1.30000+ 1 2.50000+ 1 2.42907- 1 1.26963- 3 1.30000+ 1 2.70000+ 1 1.25402- 2 1.38103- 3 1.30000+ 1 2.90000+ 1 1.05013- 2 1.45264- 3 1.30000+ 1 3.00000+ 1 6.87808- 3 1.53328- 3 1.30000+ 1 3.20000+ 1 3.65305- 3 1.63951- 3 1.30000+ 1 3.30000+ 1 6.29338- 3 1.65155- 3 1.30000+ 1 3.50000+ 1 7.24307- 3 1.76737- 3 1.30000+ 1 3.60000+ 1 1.15260- 2 1.76906- 3 1.30000+ 1 4.10000+ 1 2.43473- 3 1.71911- 3 1.30000+ 1 4.30000+ 1 1.65920- 3 1.74089- 3 1.30000+ 1 4.40000+ 1 9.60618- 4 1.75439- 3 1.30000+ 1 5.80000+ 1 1.94627- 4 1.77562- 3 1.40000+ 1 1.60000+ 1 7.19556- 3 2.85700- 4 1.40000+ 1 1.80000+ 1 5.77399- 2 4.60500- 4 1.40000+ 1 1.90000+ 1 4.43387- 3 7.77900- 4 1.40000+ 1 2.10000+ 1 2.54599- 3 1.05838- 3 1.40000+ 1 2.20000+ 1 2.84381- 3 1.11568- 3 1.40000+ 1 2.40000+ 1 9.00266- 3 1.48648- 3 1.40000+ 1 2.50000+ 1 5.11502- 3 1.50223- 3 1.40000+ 1 2.70000+ 1 1.24636- 3 1.61363- 3 1.40000+ 1 2.90000+ 1 8.94173- 3 1.68524- 3 1.40000+ 1 3.00000+ 1 8.90806- 4 1.76588- 3 1.40000+ 1 3.20000+ 1 2.19213- 4 1.87211- 3 1.40000+ 1 3.30000+ 1 5.18477- 4 1.88415- 3 1.40000+ 1 3.50000+ 1 6.09311- 4 1.99997- 3 1.40000+ 1 3.60000+ 1 2.72686- 4 2.00166- 3 1.40000+ 1 4.10000+ 1 2.23204- 4 1.95171- 3 1.40000+ 1 4.30000+ 1 1.32275- 3 1.97349- 3 1.40000+ 1 4.40000+ 1 1.20560- 4 1.98699- 3 1.40000+ 1 5.80000+ 1 1.77697- 5 2.00822- 3 1.60000+ 1 1.60000+ 1 3.85082- 4 2.69120- 3 1.60000+ 1 1.80000+ 1 6.28727- 3 2.86600- 3 1.60000+ 1 1.90000+ 1 7.15184- 4 3.18340- 3 1.60000+ 1 2.10000+ 1 2.82586- 4 3.46388- 3 1.60000+ 1 2.20000+ 1 6.95264- 4 3.52118- 3 1.60000+ 1 2.40000+ 1 7.24008- 5 3.89198- 3 1.60000+ 1 2.50000+ 1 4.96610- 4 3.90773- 3 1.60000+ 1 2.70000+ 1 1.53855- 4 4.01913- 3 1.60000+ 1 2.90000+ 1 9.66084- 4 4.09074- 3 1.60000+ 1 3.00000+ 1 1.59268- 4 4.17138- 3 1.60000+ 1 3.20000+ 1 3.71055- 5 4.27761- 3 1.60000+ 1 3.30000+ 1 1.24887- 4 4.28965- 3 1.60000+ 1 3.50000+ 1 3.39370- 6 4.40547- 3 1.60000+ 1 3.60000+ 1 2.05893- 5 4.40716- 3 1.60000+ 1 4.10000+ 1 2.85069- 5 4.35721- 3 1.60000+ 1 4.30000+ 1 1.43673- 4 4.37899- 3 1.60000+ 1 4.40000+ 1 2.19464- 5 4.39249- 3 1.60000+ 1 5.80000+ 1 2.26247- 6 4.41372- 3 1.80000+ 1 1.80000+ 1 4.96591- 3 3.04080- 3 1.80000+ 1 1.90000+ 1 1.27934- 2 3.35820- 3 1.80000+ 1 2.10000+ 1 1.31067- 2 3.63868- 3 1.80000+ 1 2.20000+ 1 2.02122- 2 3.69598- 3 1.80000+ 1 2.40000+ 1 8.25242- 3 4.06678- 3 1.80000+ 1 2.50000+ 1 1.31851- 2 4.08253- 3 1.80000+ 1 2.70000+ 1 1.66777- 3 4.19393- 3 1.80000+ 1 2.90000+ 1 2.05246- 3 4.26554- 3 1.80000+ 1 3.00000+ 1 3.14769- 3 4.34618- 3 1.80000+ 1 3.20000+ 1 2.70680- 3 4.45241- 3 1.80000+ 1 3.30000+ 1 4.06060- 3 4.46445- 3 1.80000+ 1 3.50000+ 1 5.37779- 4 4.58027- 3 1.80000+ 1 3.60000+ 1 8.12654- 4 4.58196- 3 1.80000+ 1 4.10000+ 1 3.28507- 4 4.53201- 3 1.80000+ 1 4.30000+ 1 3.26912- 4 4.55379- 3 1.80000+ 1 4.40000+ 1 4.42528- 4 4.56729- 3 1.80000+ 1 5.80000+ 1 2.64707- 5 4.58852- 3 1.90000+ 1 1.90000+ 1 3.00232- 4 3.67560- 3 1.90000+ 1 2.10000+ 1 6.69444- 4 3.95608- 3 1.90000+ 1 2.20000+ 1 6.57680- 4 4.01338- 3 1.90000+ 1 2.40000+ 1 5.09242- 3 4.38418- 3 1.90000+ 1 2.50000+ 1 1.43313- 3 4.39993- 3 1.90000+ 1 2.70000+ 1 1.19229- 4 4.51133- 3 1.90000+ 1 2.90000+ 1 2.00030- 3 4.58294- 3 1.90000+ 1 3.00000+ 1 1.24658- 4 4.66358- 3 1.90000+ 1 3.20000+ 1 1.05883- 4 4.76981- 3 1.90000+ 1 3.30000+ 1 1.20816- 4 4.78185- 3 1.90000+ 1 3.50000+ 1 2.71711- 4 4.89767- 3 1.90000+ 1 3.60000+ 1 7.66956- 5 4.89936- 3 1.90000+ 1 4.10000+ 1 2.12657- 5 4.84941- 3 1.90000+ 1 4.30000+ 1 2.97958- 4 4.87119- 3 1.90000+ 1 4.40000+ 1 1.69678- 5 4.88469- 3 1.90000+ 1 5.80000+ 1 1.58358- 6 4.90592- 3 2.10000+ 1 2.10000+ 1 5.22620- 4 4.23656- 3 2.10000+ 1 2.20000+ 1 8.57887- 4 4.29386- 3 2.10000+ 1 2.40000+ 1 5.33926- 4 4.66466- 3 2.10000+ 1 2.50000+ 1 6.18093- 4 4.68041- 3 2.10000+ 1 2.70000+ 1 7.28493- 5 4.79181- 3 2.10000+ 1 2.90000+ 1 1.97797- 3 4.86342- 3 2.10000+ 1 3.00000+ 1 1.56333- 4 4.94406- 3 2.10000+ 1 3.20000+ 1 1.73537- 4 5.05029- 3 2.10000+ 1 3.30000+ 1 1.57236- 4 5.06233- 3 2.10000+ 1 3.50000+ 1 1.69680- 5 5.17815- 3 2.10000+ 1 3.60000+ 1 2.62434- 5 5.17984- 3 2.10000+ 1 4.10000+ 1 1.42530- 5 5.12989- 3 2.10000+ 1 4.30000+ 1 2.92524- 4 5.15167- 3 2.10000+ 1 4.40000+ 1 2.17194- 5 5.16517- 3 2.10000+ 1 5.80000+ 1 1.13118- 6 5.18640- 3 2.20000+ 1 2.20000+ 1 2.37112- 4 4.35116- 3 2.20000+ 1 2.40000+ 1 9.16489- 4 4.72196- 3 2.20000+ 1 2.50000+ 1 2.58824- 4 4.73771- 3 2.20000+ 1 2.70000+ 1 1.43196- 4 4.84911- 3 2.20000+ 1 2.90000+ 1 3.07879- 3 4.92072- 3 2.20000+ 1 3.00000+ 1 1.22845- 4 5.00136- 3 2.20000+ 1 3.20000+ 1 1.23079- 4 5.10759- 3 2.20000+ 1 3.30000+ 1 8.03162- 5 5.11963- 3 2.20000+ 1 3.50000+ 1 2.30772- 5 5.23545- 3 2.20000+ 1 3.60000+ 1 9.72865- 6 5.23714- 3 2.20000+ 1 4.10000+ 1 2.66968- 5 5.18719- 3 2.20000+ 1 4.30000+ 1 4.56107- 4 5.20897- 3 2.20000+ 1 4.40000+ 1 1.62908- 5 5.22247- 3 2.20000+ 1 5.80000+ 1 2.03623- 6 5.24370- 3 2.40000+ 1 2.40000+ 1 2.14497- 3 5.09276- 3 2.40000+ 1 2.50000+ 1 1.36292- 2 5.10851- 3 2.40000+ 1 2.70000+ 1 1.31220- 5 5.21991- 3 2.40000+ 1 2.90000+ 1 1.14653- 3 5.29152- 3 2.40000+ 1 3.00000+ 1 1.17687- 3 5.37216- 3 2.40000+ 1 3.20000+ 1 1.10854- 4 5.47839- 3 2.40000+ 1 3.30000+ 1 2.35514- 4 5.49043- 3 2.40000+ 1 3.50000+ 1 2.28051- 4 5.60625- 3 2.40000+ 1 3.60000+ 1 6.83236- 4 5.60794- 3 2.40000+ 1 4.10000+ 1 2.48860- 6 5.55799- 3 2.40000+ 1 4.30000+ 1 1.68315- 4 5.57977- 3 2.40000+ 1 4.40000+ 1 1.63571- 4 5.59327- 3 2.40000+ 1 5.80000+ 1 2.26234- 7 5.61450- 3 2.50000+ 1 2.50000+ 1 7.07676- 4 5.12426- 3 2.50000+ 1 2.70000+ 1 1.06333- 4 5.23566- 3 2.50000+ 1 2.90000+ 1 1.76854- 3 5.30727- 3 2.50000+ 1 3.00000+ 1 2.90938- 4 5.38791- 3 2.50000+ 1 3.20000+ 1 1.28507- 4 5.49414- 3 2.50000+ 1 3.30000+ 1 5.52025- 5 5.50618- 3 2.50000+ 1 3.50000+ 1 6.96591- 4 5.62200- 3 2.50000+ 1 3.60000+ 1 7.17179- 5 5.62369- 3 2.50000+ 1 4.10000+ 1 1.99088- 5 5.57374- 3 2.50000+ 1 4.30000+ 1 2.55203- 4 5.59552- 3 2.50000+ 1 4.40000+ 1 3.95913- 5 5.60902- 3 2.50000+ 1 5.80000+ 1 1.58358- 6 5.63025- 3 2.70000+ 1 2.70000+ 1 1.51587- 5 5.34706- 3 2.70000+ 1 2.90000+ 1 2.58143- 4 5.41867- 3 2.70000+ 1 3.00000+ 1 2.62430- 5 5.49931- 3 2.70000+ 1 3.20000+ 1 9.04942- 6 5.60554- 3 2.70000+ 1 3.30000+ 1 2.62430- 5 5.61758- 3 2.70000+ 1 3.50000+ 1 6.78706- 7 5.73340- 3 2.70000+ 1 3.60000+ 1 4.52471- 6 5.73509- 3 2.70000+ 1 4.10000+ 1 5.65590- 6 5.68514- 3 2.70000+ 1 4.30000+ 1 3.84605- 5 5.70692- 3 2.70000+ 1 4.40000+ 1 3.61979- 6 5.72042- 3 2.70000+ 1 5.80000+ 1 4.52471- 7 5.74165- 3 2.90000+ 1 2.90000+ 1 1.97521- 4 5.49028- 3 2.90000+ 1 3.00000+ 1 4.95923- 4 5.57092- 3 2.90000+ 1 3.20000+ 1 4.11535- 4 5.67715- 3 2.90000+ 1 3.30000+ 1 6.23525- 4 5.68919- 3 2.90000+ 1 3.50000+ 1 7.44330- 5 5.80501- 3 2.90000+ 1 3.60000+ 1 1.10182- 4 5.80670- 3 2.90000+ 1 4.10000+ 1 5.09035- 5 5.75675- 3 2.90000+ 1 4.30000+ 1 6.19904- 5 5.77853- 3 2.90000+ 1 4.40000+ 1 6.99091- 5 5.79203- 3 2.90000+ 1 5.80000+ 1 4.07221- 6 5.81326- 3 3.00000+ 1 3.00000+ 1 1.26694- 5 5.65156- 3 3.00000+ 1 3.20000+ 1 2.48865- 5 5.75779- 3 3.00000+ 1 3.30000+ 1 2.26238- 5 5.76983- 3 3.00000+ 1 3.50000+ 1 6.31223- 5 5.88565- 3 3.00000+ 1 3.60000+ 1 1.56097- 5 5.88734- 3 3.00000+ 1 4.10000+ 1 4.75100- 6 5.83739- 3 3.00000+ 1 4.30000+ 1 7.39807- 5 5.85917- 3 3.00000+ 1 4.40000+ 1 3.39356- 6 5.87267- 3 3.00000+ 1 5.80000+ 1 4.52474- 7 5.89390- 3 3.20000+ 1 3.20000+ 1 1.37049- 5 5.86402- 3 3.20000+ 1 3.30000+ 1 2.42623- 5 5.87606- 3 3.20000+ 1 3.50000+ 1 3.81903- 6 5.99188- 3 3.20000+ 1 3.60000+ 1 6.29016- 6 5.99357- 3 3.20000+ 1 4.10000+ 1 1.79725- 6 5.94362- 3 3.20000+ 1 4.30000+ 1 6.04317- 5 5.96540- 3 3.20000+ 1 4.40000+ 1 3.36969- 6 5.97890- 3 3.20000+ 1 5.80000+ 1 2.24646- 7 6.00013- 3 3.30000+ 1 3.30000+ 1 6.97995- 6 5.88810- 3 3.30000+ 1 3.50000+ 1 7.20513- 6 6.00392- 3 3.30000+ 1 3.60000+ 1 2.02649- 6 6.00561- 3 3.30000+ 1 4.10000+ 1 4.95345- 6 5.95566- 3 3.30000+ 1 4.30000+ 1 9.20873- 5 5.97744- 3 3.30000+ 1 4.40000+ 1 2.92708- 6 5.99094- 3 3.30000+ 1 5.80000+ 1 4.50309- 7 6.01217- 3 3.50000+ 1 3.50000+ 1 5.67452- 6 6.11974- 3 3.50000+ 1 3.60000+ 1 3.63171- 5 6.12143- 3 3.50000+ 1 4.10000+ 1 2.26981- 7 6.07148- 3 3.50000+ 1 4.30000+ 1 1.08950- 5 6.09326- 3 3.50000+ 1 4.40000+ 1 8.85220- 6 6.10676- 3 3.60000+ 1 3.60000+ 1 1.77226- 6 6.12312- 3 3.60000+ 1 4.10000+ 1 8.86089- 7 6.07317- 3 3.60000+ 1 4.30000+ 1 1.55058- 5 6.09495- 3 3.60000+ 1 4.40000+ 1 1.99380- 6 6.10845- 3 4.10000+ 1 4.10000+ 1 4.52475- 7 6.02322- 3 4.10000+ 1 4.30000+ 1 7.69219- 6 6.04500- 3 4.10000+ 1 4.40000+ 1 6.78712- 7 6.05850- 3 4.30000+ 1 4.30000+ 1 5.00906- 6 6.06678- 3 4.30000+ 1 4.40000+ 1 1.09723- 5 6.08028- 3 4.30000+ 1 5.80000+ 1 7.15576- 7 6.10151- 3 4.40000+ 1 4.40000+ 1 2.26239- 7 6.09378- 3 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.35189- 5 6.01700- 4 1.40000+ 1 3.51888- 4 8.34300- 4 1.60000+ 1 2.65949- 3 3.23980- 3 2.10000+ 1 1.20669- 3 4.01248- 3 2.20000+ 1 8.90546- 3 4.06978- 3 2.70000+ 1 6.85087- 4 4.56773- 3 3.20000+ 1 2.76269- 4 4.82621- 3 3.30000+ 1 2.09139- 3 4.83825- 3 4.10000+ 1 1.36299- 4 4.90581- 3 5.80000+ 1 1.19139- 5 4.96232- 3 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 1.35378- 2 7.36800- 5 1.30000+ 1 2.50000+ 1 2.13466- 2 8.94300- 5 1.30000+ 1 2.70000+ 1 4.16018- 3 2.00830- 4 1.30000+ 1 2.90000+ 1 4.15876- 3 2.72440- 4 1.30000+ 1 3.00000+ 1 1.14181- 2 3.53080- 4 1.30000+ 1 3.20000+ 1 2.28646- 3 4.59310- 4 1.30000+ 1 3.30000+ 1 2.60295- 3 4.71350- 4 1.30000+ 1 3.50000+ 1 6.29475- 4 5.87170- 4 1.30000+ 1 3.60000+ 1 1.05709- 3 5.88860- 4 1.30000+ 1 4.10000+ 1 7.75333- 4 5.38910- 4 1.30000+ 1 4.30000+ 1 6.50340- 4 5.60690- 4 1.30000+ 1 4.40000+ 1 1.50150- 3 5.74190- 4 1.30000+ 1 5.80000+ 1 6.10789- 5 5.95420- 4 1.40000+ 1 2.40000+ 1 2.39011- 1 3.06280- 4 1.40000+ 1 2.50000+ 1 2.87271- 1 3.22030- 4 1.40000+ 1 2.70000+ 1 2.54570- 2 4.33430- 4 1.40000+ 1 2.90000+ 1 2.77274- 2 5.05040- 4 1.40000+ 1 3.00000+ 1 2.66975- 2 5.85680- 4 1.40000+ 1 3.20000+ 1 9.09208- 3 6.91910- 4 1.40000+ 1 3.30000+ 1 1.34894- 2 7.03950- 4 1.40000+ 1 3.50000+ 1 8.79407- 3 8.19770- 4 1.40000+ 1 3.60000+ 1 9.74562- 3 8.21460- 4 1.40000+ 1 4.10000+ 1 4.87583- 3 7.71510- 4 1.40000+ 1 4.30000+ 1 4.37326- 3 7.93290- 4 1.40000+ 1 4.40000+ 1 3.61189- 3 8.06790- 4 1.40000+ 1 5.80000+ 1 3.91900- 4 8.28020- 4 1.60000+ 1 1.60000+ 1 3.57124- 5 1.51100- 3 1.60000+ 1 1.80000+ 1 2.87879- 4 1.68580- 3 1.60000+ 1 1.90000+ 1 8.63012- 3 2.00320- 3 1.60000+ 1 2.10000+ 1 5.90348- 4 2.28368- 3 1.60000+ 1 2.20000+ 1 8.09489- 4 2.34098- 3 1.60000+ 1 2.40000+ 1 2.72015- 3 2.71178- 3 1.60000+ 1 2.50000+ 1 4.94117- 3 2.72753- 3 1.60000+ 1 2.70000+ 1 2.00223- 5 2.83893- 3 1.60000+ 1 2.90000+ 1 3.32782- 5 2.91054- 3 1.60000+ 1 3.00000+ 1 1.30423- 3 2.99118- 3 1.60000+ 1 3.20000+ 1 1.00107- 4 3.09741- 3 1.60000+ 1 3.30000+ 1 1.34740- 4 3.10945- 3 1.60000+ 1 3.50000+ 1 1.24997- 4 3.22527- 3 1.60000+ 1 3.60000+ 1 2.14541- 4 3.22696- 3 1.60000+ 1 4.10000+ 1 4.05836- 6 3.17701- 3 1.60000+ 1 4.30000+ 1 4.59937- 6 3.19879- 3 1.60000+ 1 4.40000+ 1 1.67198- 4 3.21229- 3 1.60000+ 1 5.80000+ 1 2.70565- 7 3.23352- 3 1.80000+ 1 1.80000+ 1 5.95227- 6 1.86060- 3 1.80000+ 1 1.90000+ 1 1.11062- 2 2.17800- 3 1.80000+ 1 2.10000+ 1 2.80022- 4 2.45848- 3 1.80000+ 1 2.20000+ 1 2.68475- 3 2.51578- 3 1.80000+ 1 2.40000+ 1 1.48562- 3 2.88658- 3 1.80000+ 1 2.50000+ 1 6.96565- 3 2.90233- 3 1.80000+ 1 2.70000+ 1 6.92614- 5 3.01373- 3 1.80000+ 1 2.90000+ 1 5.95227- 6 3.08534- 3 1.80000+ 1 3.00000+ 1 1.73272- 3 3.16598- 3 1.80000+ 1 3.20000+ 1 5.78986- 5 3.27221- 3 1.80000+ 1 3.30000+ 1 4.35047- 4 3.28425- 3 1.80000+ 1 3.50000+ 1 5.89801- 5 3.40007- 3 1.80000+ 1 3.60000+ 1 2.86248- 4 3.40176- 3 1.80000+ 1 4.10000+ 1 1.29857- 5 3.35181- 3 1.80000+ 1 4.30000+ 1 1.08219- 6 3.37359- 3 1.80000+ 1 4.40000+ 1 2.23481- 4 3.38709- 3 1.80000+ 1 5.80000+ 1 1.08219- 6 3.40832- 3 1.90000+ 1 1.90000+ 1 1.36146- 2 2.49540- 3 1.90000+ 1 2.10000+ 1 2.05074- 2 2.77588- 3 1.90000+ 1 2.20000+ 1 2.63657- 2 2.83318- 3 1.90000+ 1 2.40000+ 1 1.98563- 2 3.20398- 3 1.90000+ 1 2.50000+ 1 2.25691- 2 3.21973- 3 1.90000+ 1 2.70000+ 1 2.26563- 3 3.33113- 3 1.90000+ 1 2.90000+ 1 2.71832- 3 3.40274- 3 1.90000+ 1 3.00000+ 1 5.42979- 3 3.48338- 3 1.90000+ 1 3.20000+ 1 4.05534- 3 3.58961- 3 1.90000+ 1 3.30000+ 1 5.20934- 3 3.60165- 3 1.90000+ 1 3.50000+ 1 1.19585- 3 3.71747- 3 1.90000+ 1 3.60000+ 1 1.30025- 3 3.71916- 3 1.90000+ 1 4.10000+ 1 4.44528- 4 3.66921- 3 1.90000+ 1 4.30000+ 1 4.43183- 4 3.69099- 3 1.90000+ 1 4.40000+ 1 7.38356- 4 3.70449- 3 1.90000+ 1 5.80000+ 1 3.57130- 5 3.72572- 3 2.10000+ 1 2.10000+ 1 1.48811- 4 3.05636- 3 2.10000+ 1 2.20000+ 1 3.50332- 3 3.11366- 3 2.10000+ 1 2.40000+ 1 5.89276- 4 3.48446- 3 2.10000+ 1 2.50000+ 1 6.57897- 3 3.50021- 3 2.10000+ 1 2.70000+ 1 7.52147- 5 3.61161- 3 2.10000+ 1 2.90000+ 1 1.19053- 5 3.68322- 3 2.10000+ 1 3.00000+ 1 3.10595- 3 3.76386- 3 2.10000+ 1 3.20000+ 1 4.81593- 5 3.87009- 3 2.10000+ 1 3.30000+ 1 5.97932- 4 3.88213- 3 2.10000+ 1 3.50000+ 1 2.86782- 5 3.99795- 3 2.10000+ 1 3.60000+ 1 2.24567- 4 3.99964- 3 2.10000+ 1 4.10000+ 1 1.27168- 5 3.94969- 3 2.10000+ 1 4.30000+ 1 1.62339- 6 3.97147- 3 2.10000+ 1 4.40000+ 1 3.97722- 4 3.98497- 3 2.10000+ 1 5.80000+ 1 1.08220- 6 4.00620- 3 2.20000+ 1 2.20000+ 1 1.47453- 3 3.17096- 3 2.20000+ 1 2.40000+ 1 5.10752- 3 3.54176- 3 2.20000+ 1 2.50000+ 1 4.13153- 3 3.55751- 3 2.20000+ 1 2.70000+ 1 1.15525- 4 3.66891- 3 2.20000+ 1 2.90000+ 1 2.61077- 4 3.74052- 3 2.20000+ 1 3.00000+ 1 3.93811- 3 3.82116- 3 2.20000+ 1 3.20000+ 1 5.85751- 4 3.92739- 3 2.20000+ 1 3.30000+ 1 5.08628- 4 3.93943- 3 2.20000+ 1 3.50000+ 1 2.33751- 4 4.05525- 3 2.20000+ 1 3.60000+ 1 1.77752- 4 4.05694- 3 2.20000+ 1 4.10000+ 1 2.00220- 5 4.00699- 3 2.20000+ 1 4.30000+ 1 3.54419- 5 4.02877- 3 2.20000+ 1 4.40000+ 1 5.02672- 4 4.04227- 3 2.20000+ 1 5.80000+ 1 1.62336- 6 4.06350- 3 2.40000+ 1 2.40000+ 1 9.15278- 4 3.91256- 3 2.40000+ 1 2.50000+ 1 2.34980- 2 3.92831- 3 2.40000+ 1 2.70000+ 1 2.97608- 4 4.03971- 3 2.40000+ 1 2.90000+ 1 2.87322- 4 4.11132- 3 2.40000+ 1 3.00000+ 1 2.84869- 3 4.19196- 3 2.40000+ 1 3.20000+ 1 1.35553- 4 4.29819- 3 2.40000+ 1 3.30000+ 1 9.44223- 4 4.31023- 3 2.40000+ 1 3.50000+ 1 9.52350- 5 4.42605- 3 2.40000+ 1 3.60000+ 1 1.06249- 3 4.42774- 3 2.40000+ 1 4.10000+ 1 4.97817- 5 4.37779- 3 2.40000+ 1 4.30000+ 1 4.46417- 5 4.39957- 3 2.40000+ 1 4.40000+ 1 3.62263- 4 4.41307- 3 2.40000+ 1 5.80000+ 1 3.78777- 6 4.43430- 3 2.50000+ 1 2.50000+ 1 9.36051- 3 3.94406- 3 2.50000+ 1 2.70000+ 1 5.33551- 4 4.05546- 3 2.50000+ 1 2.90000+ 1 1.31521- 3 4.12707- 3 2.50000+ 1 3.00000+ 1 3.40026- 3 4.20771- 3 2.50000+ 1 3.20000+ 1 1.28289- 3 4.31394- 3 2.50000+ 1 3.30000+ 1 8.36837- 4 4.32598- 3 2.50000+ 1 3.50000+ 1 1.07494- 3 4.44180- 3 2.50000+ 1 3.60000+ 1 8.60649- 4 4.44349- 3 2.50000+ 1 4.10000+ 1 8.79308- 5 4.39354- 3 2.50000+ 1 4.30000+ 1 2.04541- 4 4.41532- 3 2.50000+ 1 4.40000+ 1 4.38840- 4 4.42882- 3 2.50000+ 1 5.80000+ 1 6.76407- 6 4.45005- 3 2.70000+ 1 2.70000+ 1 2.70562- 6 4.16686- 3 2.70000+ 1 2.90000+ 1 9.19874- 6 4.23847- 3 2.70000+ 1 3.00000+ 1 3.44406- 4 4.31911- 3 2.70000+ 1 3.20000+ 1 1.40695- 5 4.42534- 3 2.70000+ 1 3.30000+ 1 2.05611- 5 4.43738- 3 2.70000+ 1 3.50000+ 1 1.32568- 5 4.55320- 3 2.70000+ 1 3.60000+ 1 2.29966- 5 4.55489- 3 2.70000+ 1 4.10000+ 1 1.08218- 6 4.50494- 3 2.70000+ 1 4.30000+ 1 1.35269- 6 4.52672- 3 2.70000+ 1 4.40000+ 1 4.40990- 5 4.54022- 3 2.90000+ 1 2.90000+ 1 2.70563- 7 4.31008- 3 2.90000+ 1 3.00000+ 1 4.26388- 4 4.39072- 3 2.90000+ 1 3.20000+ 1 2.43494- 6 4.49695- 3 2.90000+ 1 3.30000+ 1 4.54530- 5 4.50899- 3 2.90000+ 1 3.50000+ 1 1.37970- 5 4.62481- 3 2.90000+ 1 3.60000+ 1 6.19570- 5 4.62650- 3 2.90000+ 1 4.10000+ 1 1.62337- 6 4.57655- 3 2.90000+ 1 4.40000+ 1 5.51927- 5 4.61183- 3 2.90000+ 1 5.80000+ 1 2.70563- 7 4.63306- 3 3.00000+ 1 3.00000+ 1 5.09175- 4 4.47136- 3 3.00000+ 1 3.20000+ 1 6.17114- 4 4.57759- 3 3.00000+ 1 3.30000+ 1 7.80262- 4 4.58963- 3 3.00000+ 1 3.50000+ 1 1.71805- 4 4.70545- 3 3.00000+ 1 3.60000+ 1 1.93447- 4 4.70714- 3 3.00000+ 1 4.10000+ 1 6.76380- 5 4.65719- 3 3.00000+ 1 4.30000+ 1 6.95309- 5 4.67897- 3 3.00000+ 1 4.40000+ 1 1.36906- 4 4.69247- 3 3.00000+ 1 5.80000+ 1 5.41089- 6 4.71370- 3 3.20000+ 1 3.20000+ 1 4.05833- 6 4.68382- 3 3.20000+ 1 3.30000+ 1 1.09303- 4 4.69586- 3 3.20000+ 1 3.50000+ 1 5.95227- 6 4.81168- 3 3.20000+ 1 3.60000+ 1 4.73474- 5 4.81337- 3 3.20000+ 1 4.10000+ 1 2.43494- 6 4.76342- 3 3.20000+ 1 4.30000+ 1 2.70563- 7 4.78520- 3 3.20000+ 1 4.40000+ 1 7.90023- 5 4.79870- 3 3.20000+ 1 5.80000+ 1 2.70563- 7 4.81993- 3 3.30000+ 1 3.30000+ 1 4.68049- 5 4.70790- 3 3.30000+ 1 3.50000+ 1 4.62623- 5 4.82372- 3 3.30000+ 1 3.60000+ 1 3.70654- 5 4.82541- 3 3.30000+ 1 4.10000+ 1 3.51712- 6 4.77546- 3 3.30000+ 1 4.30000+ 1 6.22256- 6 4.79724- 3 3.30000+ 1 4.40000+ 1 9.95662- 5 4.81074- 3 3.30000+ 1 5.80000+ 1 2.70557- 7 4.83197- 3 3.50000+ 1 3.50000+ 1 2.14744- 6 4.93954- 3 3.50000+ 1 3.60000+ 1 5.12674- 5 4.94123- 3 3.50000+ 1 4.10000+ 1 2.14744- 6 4.89128- 3 3.50000+ 1 4.30000+ 1 2.14744- 6 4.91306- 3 3.50000+ 1 4.40000+ 1 2.17425- 5 4.92656- 3 3.50000+ 1 5.80000+ 1 2.68431- 7 4.94779- 3 3.60000+ 1 3.60000+ 1 1.92119- 5 4.94292- 3 3.60000+ 1 4.10000+ 1 3.78824- 6 4.89297- 3 3.60000+ 1 4.30000+ 1 9.74113- 6 4.91475- 3 3.60000+ 1 4.40000+ 1 2.48938- 5 4.92825- 3 3.60000+ 1 5.80000+ 1 2.70596- 7 4.94948- 3 4.10000+ 1 4.30000+ 1 2.70561- 7 4.86480- 3 4.10000+ 1 4.40000+ 1 8.65760- 6 4.87830- 3 4.30000+ 1 4.40000+ 1 8.92816- 6 4.90008- 3 4.40000+ 1 4.40000+ 1 9.19833- 6 4.91358- 3 4.40000+ 1 5.80000+ 1 8.11624- 7 4.93481- 3 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.64871- 3 2.81290- 3 1.90000+ 1 2.15400- 4 3.13030- 3 2.40000+ 1 5.69821- 2 3.83888- 3 2.90000+ 1 6.20881- 4 4.03764- 3 3.00000+ 1 5.09961- 5 4.11828- 3 3.50000+ 1 3.64871- 3 4.35237- 3 4.30000+ 1 1.04250- 4 4.32589- 3 4.40000+ 1 7.52302- 6 4.33939- 3 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.20000+ 1 4.61391- 2 9.02100- 5 1.40000+ 1 3.30000+ 1 6.67906- 3 1.02250- 4 1.40000+ 1 3.50000+ 1 2.75020- 2 2.18070- 4 1.40000+ 1 3.60000+ 1 2.88409- 3 2.19760- 4 1.40000+ 1 4.10000+ 1 9.01396- 4 1.69810- 4 1.40000+ 1 4.30000+ 1 4.22557- 4 1.91590- 4 1.40000+ 1 4.40000+ 1 8.08837- 4 2.05090- 4 1.40000+ 1 5.80000+ 1 7.11783- 5 2.26320- 4 1.60000+ 1 1.60000+ 1 6.47091- 7 9.09300- 4 1.60000+ 1 1.80000+ 1 6.46425- 4 1.08410- 3 1.60000+ 1 1.90000+ 1 6.74914- 4 1.40150- 3 1.60000+ 1 2.10000+ 1 2.63852- 2 1.68198- 3 1.60000+ 1 2.20000+ 1 3.16542- 3 1.73928- 3 1.60000+ 1 2.40000+ 1 1.63414- 2 2.11008- 3 1.60000+ 1 2.50000+ 1 3.48573- 3 2.12583- 3 1.60000+ 1 2.70000+ 1 1.29414- 5 2.23723- 3 1.60000+ 1 2.90000+ 1 1.39123- 4 2.30884- 3 1.60000+ 1 3.00000+ 1 1.07411- 4 2.38948- 3 1.60000+ 1 3.20000+ 1 3.50145- 3 2.49571- 3 1.60000+ 1 3.30000+ 1 4.54899- 4 2.50775- 3 1.60000+ 1 3.50000+ 1 7.04666- 4 2.62357- 3 1.60000+ 1 3.60000+ 1 1.19059- 4 2.62526- 3 1.60000+ 1 4.10000+ 1 3.23525- 6 2.57531- 3 1.60000+ 1 4.30000+ 1 2.20005- 5 2.59709- 3 1.60000+ 1 4.40000+ 1 1.35890- 5 2.61059- 3 1.80000+ 1 1.80000+ 1 2.38138- 4 1.25890- 3 1.80000+ 1 1.90000+ 1 2.89643- 3 1.57630- 3 1.80000+ 1 2.10000+ 1 2.39779- 2 1.85678- 3 1.80000+ 1 2.20000+ 1 1.24758- 3 1.91408- 3 1.80000+ 1 2.40000+ 1 1.30219- 2 2.28488- 3 1.80000+ 1 2.50000+ 1 7.45895- 3 2.30063- 3 1.80000+ 1 2.70000+ 1 8.28267- 5 2.41203- 3 1.80000+ 1 2.90000+ 1 1.10006- 4 2.48364- 3 1.80000+ 1 3.00000+ 1 5.15079- 4 2.56428- 3 1.80000+ 1 3.20000+ 1 3.13895- 3 2.67051- 3 1.80000+ 1 3.30000+ 1 2.01233- 4 2.68255- 3 1.80000+ 1 3.50000+ 1 5.43548- 4 2.79837- 3 1.80000+ 1 3.60000+ 1 3.10592- 4 2.80006- 3 1.80000+ 1 4.10000+ 1 1.42366- 5 2.75011- 3 1.80000+ 1 4.30000+ 1 1.74714- 5 2.77189- 3 1.80000+ 1 4.40000+ 1 6.79428- 5 2.78539- 3 1.80000+ 1 5.80000+ 1 1.29413- 6 2.80662- 3 1.90000+ 1 1.90000+ 1 9.99703- 4 1.89370- 3 1.90000+ 1 2.10000+ 1 4.48145- 2 2.17418- 3 1.90000+ 1 2.20000+ 1 1.70178- 3 2.23148- 3 1.90000+ 1 2.40000+ 1 1.63056- 3 2.60228- 3 1.90000+ 1 2.50000+ 1 1.47787- 3 2.61803- 3 1.90000+ 1 2.70000+ 1 1.30708- 4 2.72943- 3 1.90000+ 1 2.90000+ 1 4.29026- 4 2.80104- 3 1.90000+ 1 3.00000+ 1 3.39062- 4 2.88168- 3 1.90000+ 1 3.20000+ 1 5.94678- 3 2.98791- 3 1.90000+ 1 3.30000+ 1 2.58819- 4 2.99995- 3 1.90000+ 1 3.50000+ 1 5.24141- 5 3.11577- 3 1.90000+ 1 3.60000+ 1 4.40008- 5 3.11746- 3 1.90000+ 1 4.10000+ 1 2.39421- 5 3.06751- 3 1.90000+ 1 4.30000+ 1 6.34129- 5 3.08929- 3 1.90000+ 1 4.40000+ 1 4.46474- 5 3.10279- 3 1.90000+ 1 5.80000+ 1 1.94131- 6 3.12402- 3 2.10000+ 1 2.10000+ 1 4.19317- 2 2.45466- 3 2.10000+ 1 2.20000+ 1 8.13567- 2 2.51196- 3 2.10000+ 1 2.40000+ 1 5.05520- 2 2.88276- 3 2.10000+ 1 2.50000+ 1 5.92777- 2 2.89851- 3 2.10000+ 1 2.70000+ 1 6.21526- 3 3.00991- 3 2.10000+ 1 2.90000+ 1 5.92797- 3 3.08152- 3 2.10000+ 1 3.00000+ 1 1.06983- 2 3.16216- 3 2.10000+ 1 3.20000+ 1 1.39819- 2 3.26839- 3 2.10000+ 1 3.30000+ 1 1.58928- 2 3.28043- 3 2.10000+ 1 3.50000+ 1 3.05550- 3 3.39625- 3 2.10000+ 1 3.60000+ 1 3.47935- 3 3.39794- 3 2.10000+ 1 4.10000+ 1 1.20164- 3 3.34799- 3 2.10000+ 1 4.30000+ 1 9.68665- 4 3.36977- 3 2.10000+ 1 4.40000+ 1 1.49478- 3 3.38327- 3 2.10000+ 1 5.80000+ 1 9.64179- 5 3.40450- 3 2.20000+ 1 2.20000+ 1 1.27215- 3 2.56926- 3 2.20000+ 1 2.40000+ 1 6.06185- 2 2.94006- 3 2.20000+ 1 2.50000+ 1 2.79199- 3 2.95581- 3 2.20000+ 1 2.70000+ 1 3.49426- 4 3.06721- 3 2.20000+ 1 2.90000+ 1 1.62418- 4 3.13882- 3 2.20000+ 1 3.00000+ 1 3.20301- 4 3.21946- 3 2.20000+ 1 3.20000+ 1 1.08107- 2 3.32569- 3 2.20000+ 1 3.30000+ 1 4.01192- 4 3.33773- 3 2.20000+ 1 3.50000+ 1 3.33183- 3 3.45355- 3 2.20000+ 1 3.60000+ 1 1.34596- 4 3.45524- 3 2.20000+ 1 4.10000+ 1 5.88847- 5 3.40529- 3 2.20000+ 1 4.30000+ 1 2.39421- 5 3.42707- 3 2.20000+ 1 4.40000+ 1 4.27064- 5 3.44057- 3 2.20000+ 1 5.80000+ 1 4.52937- 6 3.46180- 3 2.40000+ 1 2.40000+ 1 6.03451- 2 3.31086- 3 2.40000+ 1 2.50000+ 1 1.71949- 1 3.32661- 3 2.40000+ 1 2.70000+ 1 4.14522- 3 3.43801- 3 2.40000+ 1 2.90000+ 1 2.47647- 3 3.50962- 3 2.40000+ 1 3.00000+ 1 3.96657- 4 3.59026- 3 2.40000+ 1 3.20000+ 1 7.41808- 3 3.69649- 3 2.40000+ 1 3.30000+ 1 1.12076- 2 3.70853- 3 2.40000+ 1 3.50000+ 1 6.38594- 3 3.82435- 3 2.40000+ 1 3.60000+ 1 9.49019- 3 3.82604- 3 2.40000+ 1 4.10000+ 1 8.09508- 4 3.77609- 3 2.40000+ 1 4.30000+ 1 3.95374- 4 3.79787- 3 2.40000+ 1 4.40000+ 1 5.56490- 5 3.81137- 3 2.40000+ 1 5.80000+ 1 6.60021- 5 3.83260- 3 2.50000+ 1 2.50000+ 1 3.54010- 3 3.34236- 3 2.50000+ 1 2.70000+ 1 6.07614- 4 3.45376- 3 2.50000+ 1 2.90000+ 1 7.14377- 4 3.52537- 3 2.50000+ 1 3.00000+ 1 3.16409- 4 3.60601- 3 2.50000+ 1 3.20000+ 1 7.12308- 3 3.71224- 3 2.50000+ 1 3.30000+ 1 4.78191- 4 3.72428- 3 2.50000+ 1 3.50000+ 1 7.97326- 3 3.84010- 3 2.50000+ 1 3.60000+ 1 3.56537- 4 3.84179- 3 2.50000+ 1 4.10000+ 1 1.08713- 4 3.79184- 3 2.50000+ 1 4.30000+ 1 9.89993- 5 3.81362- 3 2.50000+ 1 4.40000+ 1 4.33538- 5 3.82712- 3 2.50000+ 1 5.80000+ 1 8.41194- 6 3.84835- 3 2.70000+ 1 2.70000+ 1 1.29411- 6 3.56516- 3 2.70000+ 1 2.90000+ 1 2.07068- 5 3.63677- 3 2.70000+ 1 3.00000+ 1 2.13533- 5 3.71741- 3 2.70000+ 1 3.20000+ 1 8.30178- 4 3.82364- 3 2.70000+ 1 3.30000+ 1 5.62942- 5 3.83568- 3 2.70000+ 1 3.50000+ 1 1.91530- 4 3.95150- 3 2.70000+ 1 3.60000+ 1 2.71752- 5 3.95319- 3 2.70000+ 1 4.10000+ 1 6.47074- 7 3.90324- 3 2.70000+ 1 4.30000+ 1 3.23517- 6 3.92502- 3 2.70000+ 1 4.40000+ 1 2.58812- 6 3.93852- 3 2.90000+ 1 2.90000+ 1 1.35885- 5 3.70838- 3 2.90000+ 1 3.00000+ 1 8.28239- 5 3.78902- 3 2.90000+ 1 3.20000+ 1 7.80355- 4 3.89525- 3 2.90000+ 1 3.30000+ 1 3.10582- 5 3.90729- 3 2.90000+ 1 3.50000+ 1 1.07407- 4 4.02311- 3 2.90000+ 1 3.60000+ 1 3.10582- 5 4.02480- 3 2.90000+ 1 4.10000+ 1 3.88217- 6 3.97485- 3 2.90000+ 1 4.30000+ 1 4.52922- 6 3.99663- 3 2.90000+ 1 4.40000+ 1 1.10003- 5 4.01013- 3 3.00000+ 1 3.00000+ 1 2.97645- 5 3.86966- 3 3.00000+ 1 3.20000+ 1 1.42809- 3 3.97589- 3 3.00000+ 1 3.30000+ 1 5.17664- 5 3.98793- 3 3.00000+ 1 3.50000+ 1 1.55303- 5 4.10375- 3 3.00000+ 1 3.60000+ 1 9.70612- 6 4.10544- 3 3.00000+ 1 4.10000+ 1 3.88222- 6 4.05549- 3 3.00000+ 1 4.30000+ 1 1.22946- 5 4.07727- 3 3.00000+ 1 4.40000+ 1 7.76476- 6 4.09077- 3 3.20000+ 1 3.20000+ 1 1.11159- 3 4.08212- 3 3.20000+ 1 3.30000+ 1 2.12571- 3 4.09416- 3 3.20000+ 1 3.50000+ 1 4.47134- 4 4.20998- 3 3.20000+ 1 3.60000+ 1 4.23838- 4 4.21167- 3 3.20000+ 1 4.10000+ 1 1.60478- 4 4.16172- 3 3.20000+ 1 4.30000+ 1 1.27473- 4 4.18350- 3 3.20000+ 1 4.40000+ 1 1.99948- 4 4.19700- 3 3.20000+ 1 5.80000+ 1 1.29412- 5 4.21823- 3 3.30000+ 1 3.30000+ 1 3.10590- 5 4.10620- 3 3.30000+ 1 3.50000+ 1 6.23778- 4 4.22202- 3 3.30000+ 1 3.60000+ 1 2.32943- 5 4.22371- 3 3.30000+ 1 4.10000+ 1 9.70625- 6 4.17376- 3 3.30000+ 1 4.30000+ 1 4.52934- 6 4.19554- 3 3.30000+ 1 4.40000+ 1 7.11780- 6 4.20904- 3 3.30000+ 1 5.80000+ 1 6.47084- 7 4.23027- 3 3.50000+ 1 3.50000+ 1 1.48650- 4 4.33784- 3 3.50000+ 1 3.60000+ 1 4.47877- 4 4.33953- 3 3.50000+ 1 4.10000+ 1 3.73221- 5 4.28958- 3 3.50000+ 1 4.30000+ 1 1.73746- 5 4.31136- 3 3.50000+ 1 4.40000+ 1 1.93056- 6 4.32486- 3 3.50000+ 1 5.80000+ 1 3.21732- 6 4.34609- 3 3.60000+ 1 3.60000+ 1 7.80380- 6 4.34122- 3 3.60000+ 1 4.10000+ 1 4.80247- 6 4.29127- 3 3.60000+ 1 4.30000+ 1 4.20190- 6 4.31305- 3 3.60000+ 1 4.40000+ 1 1.20057- 6 4.32655- 3 3.60000+ 1 5.80000+ 1 6.00304- 7 4.34778- 3 4.10000+ 1 4.30000+ 1 6.47101- 7 4.26310- 3 4.10000+ 1 4.40000+ 1 6.47101- 7 4.27660- 3 4.30000+ 1 4.30000+ 1 6.47091- 7 4.28488- 3 4.30000+ 1 4.40000+ 1 1.94131- 6 4.29838- 3 4.40000+ 1 4.40000+ 1 7.67202- 7 4.31188- 3 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.66669- 3 2.89770- 3 2.40000+ 1 2.70068- 3 3.60628- 3 2.50000+ 1 5.29276- 2 3.62203- 3 3.00000+ 1 3.92027- 4 3.88568- 3 3.50000+ 1 1.69159- 4 4.11977- 3 3.60000+ 1 3.25387- 3 4.12146- 3 4.40000+ 1 5.78595- 5 4.10679- 3 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 4.04704- 5 6.76700- 4 1.60000+ 1 1.80000+ 1 3.23109- 4 8.51500- 4 1.60000+ 1 1.90000+ 1 1.37261- 3 1.16890- 3 1.60000+ 1 2.10000+ 1 3.11546- 3 1.44938- 3 1.60000+ 1 2.20000+ 1 2.98064- 2 1.50668- 3 1.60000+ 1 2.40000+ 1 4.00250- 3 1.87748- 3 1.60000+ 1 2.50000+ 1 1.72328- 2 1.89323- 3 1.60000+ 1 2.70000+ 1 2.05673- 5 2.00463- 3 1.60000+ 1 2.90000+ 1 2.91921- 5 2.07624- 3 1.60000+ 1 3.00000+ 1 2.23578- 4 2.15688- 3 1.60000+ 1 3.20000+ 1 4.06026- 4 2.26311- 3 1.60000+ 1 3.30000+ 1 3.92813- 3 2.27515- 3 1.60000+ 1 3.50000+ 1 1.32031- 4 2.39097- 3 1.60000+ 1 3.60000+ 1 6.49499- 4 2.39266- 3 1.60000+ 1 4.10000+ 1 4.64396- 6 2.34271- 3 1.60000+ 1 4.30000+ 1 4.64396- 6 2.36449- 3 1.60000+ 1 4.40000+ 1 2.91921- 5 2.37799- 3 1.60000+ 1 5.80000+ 1 6.63447- 7 2.39922- 3 1.80000+ 1 1.80000+ 1 2.58745- 5 1.02630- 3 1.80000+ 1 1.90000+ 1 4.48422- 3 1.34370- 3 1.80000+ 1 2.10000+ 1 2.24902- 4 1.62418- 3 1.80000+ 1 2.20000+ 1 3.04847- 2 1.68148- 3 1.80000+ 1 2.40000+ 1 2.39636- 3 2.05228- 3 1.80000+ 1 2.50000+ 1 1.12108- 2 2.06803- 3 1.80000+ 1 2.70000+ 1 3.78160- 5 2.17943- 3 1.80000+ 1 2.90000+ 1 5.97107- 6 2.25104- 3 1.80000+ 1 3.00000+ 1 7.33762- 4 2.33168- 3 1.80000+ 1 3.20000+ 1 5.97107- 6 2.43791- 3 1.80000+ 1 3.30000+ 1 3.99854- 3 2.44995- 3 1.80000+ 1 3.50000+ 1 9.62014- 5 2.56577- 3 1.80000+ 1 3.60000+ 1 4.17979- 4 2.56746- 3 1.80000+ 1 4.10000+ 1 6.63451- 6 2.51751- 3 1.80000+ 1 4.30000+ 1 6.63451- 7 2.53929- 3 1.80000+ 1 4.40000+ 1 9.55353- 5 2.55279- 3 1.80000+ 1 5.80000+ 1 6.63451- 7 2.57402- 3 1.90000+ 1 1.90000+ 1 2.59659- 3 1.66110- 3 1.90000+ 1 2.10000+ 1 2.68487- 3 1.94158- 3 1.90000+ 1 2.20000+ 1 4.30632- 2 1.99888- 3 1.90000+ 1 2.40000+ 1 1.78799- 3 2.36968- 3 1.90000+ 1 2.50000+ 1 2.62979- 3 2.38543- 3 1.90000+ 1 2.70000+ 1 2.81979- 4 2.49683- 3 1.90000+ 1 2.90000+ 1 5.93107- 4 2.56844- 3 1.90000+ 1 3.00000+ 1 8.67112- 4 2.64908- 3 1.90000+ 1 3.20000+ 1 4.50477- 4 2.75531- 3 1.90000+ 1 3.30000+ 1 5.61729- 3 2.76735- 3 1.90000+ 1 3.50000+ 1 5.83821- 5 2.88317- 3 1.90000+ 1 3.60000+ 1 8.02755- 5 2.88486- 3 1.90000+ 1 4.10000+ 1 5.24109- 5 2.83491- 3 1.90000+ 1 4.30000+ 1 8.69110- 5 2.85669- 3 1.90000+ 1 4.40000+ 1 1.14115- 4 2.87019- 3 1.90000+ 1 5.80000+ 1 3.98053- 6 2.89142- 3 2.10000+ 1 2.10000+ 1 5.95772- 4 2.22206- 3 2.10000+ 1 2.20000+ 1 6.18619- 2 2.27936- 3 2.10000+ 1 2.40000+ 1 2.62516- 3 2.65016- 3 2.10000+ 1 2.50000+ 1 3.63907- 2 2.66591- 3 2.10000+ 1 2.70000+ 1 3.15797- 4 2.77731- 3 2.10000+ 1 2.90000+ 1 6.70090- 5 2.84892- 3 2.10000+ 1 3.00000+ 1 4.53139- 4 2.92956- 3 2.10000+ 1 3.20000+ 1 1.79797- 4 3.03579- 3 2.10000+ 1 3.30000+ 1 8.17573- 3 3.04783- 3 2.10000+ 1 3.50000+ 1 1.39987- 4 3.16365- 3 2.10000+ 1 3.60000+ 1 1.92732- 3 3.16534- 3 2.10000+ 1 4.10000+ 1 5.24118- 5 3.11539- 3 2.10000+ 1 4.30000+ 1 1.06154- 5 3.13717- 3 2.10000+ 1 4.40000+ 1 5.97114- 5 3.15067- 3 2.10000+ 1 5.80000+ 1 3.98060- 6 3.17190- 3 2.20000+ 1 2.20000+ 1 6.78154- 2 2.33666- 3 2.20000+ 1 2.40000+ 1 5.75163- 2 2.70746- 3 2.20000+ 1 2.50000+ 1 9.28836- 2 2.72321- 3 2.20000+ 1 2.70000+ 1 6.61253- 3 2.83461- 3 2.20000+ 1 2.90000+ 1 7.15577- 3 2.90622- 3 2.20000+ 1 3.00000+ 1 1.03806- 2 2.98686- 3 2.20000+ 1 3.20000+ 1 1.20568- 2 3.09309- 3 2.20000+ 1 3.30000+ 1 2.22118- 2 3.10513- 3 2.20000+ 1 3.50000+ 1 3.45976- 3 3.22095- 3 2.20000+ 1 3.60000+ 1 5.19399- 3 3.22264- 3 2.20000+ 1 4.10000+ 1 1.26980- 3 3.17269- 3 2.20000+ 1 4.30000+ 1 1.15696- 3 3.19447- 3 2.20000+ 1 4.40000+ 1 1.45294- 3 3.20797- 3 2.20000+ 1 5.80000+ 1 1.01510- 4 3.22920- 3 2.40000+ 1 2.40000+ 1 5.20530- 3 3.07826- 3 2.40000+ 1 2.50000+ 1 1.64917- 1 3.09401- 3 2.40000+ 1 2.70000+ 1 7.87480- 4 3.20541- 3 2.40000+ 1 2.90000+ 1 5.12835- 4 3.27702- 3 2.40000+ 1 3.00000+ 1 3.64232- 4 3.35766- 3 2.40000+ 1 3.20000+ 1 4.90286- 4 3.46389- 3 2.40000+ 1 3.30000+ 1 7.13662- 3 3.47593- 3 2.40000+ 1 3.50000+ 1 5.47989- 4 3.59175- 3 2.40000+ 1 3.60000+ 1 7.37989- 3 3.59344- 3 2.40000+ 1 4.10000+ 1 1.44625- 4 3.54349- 3 2.40000+ 1 4.30000+ 1 8.16013- 5 3.56527- 3 2.40000+ 1 4.40000+ 1 4.97565- 5 3.57877- 3 2.40000+ 1 5.80000+ 1 1.12781- 5 3.60000- 3 2.50000+ 1 2.50000+ 1 1.12255- 1 3.10976- 3 2.50000+ 1 2.70000+ 1 4.33354- 3 3.22116- 3 2.50000+ 1 2.90000+ 1 2.68366- 3 3.29277- 3 2.50000+ 1 3.00000+ 1 5.89783- 4 3.37341- 3 2.50000+ 1 3.20000+ 1 6.52885- 3 3.47964- 3 2.50000+ 1 3.30000+ 1 1.41077- 2 3.49168- 3 2.50000+ 1 3.50000+ 1 9.18785- 3 3.60750- 3 2.50000+ 1 3.60000+ 1 1.11668- 2 3.60919- 3 2.50000+ 1 4.10000+ 1 8.45890- 4 3.55924- 3 2.50000+ 1 4.30000+ 1 4.37868- 4 3.58102- 3 2.50000+ 1 4.40000+ 1 8.22646- 5 3.59452- 3 2.50000+ 1 5.80000+ 1 6.89968- 5 3.61575- 3 2.70000+ 1 2.90000+ 1 1.32685- 6 3.40417- 3 2.70000+ 1 3.00000+ 1 4.77670- 5 3.48481- 3 2.70000+ 1 3.20000+ 1 4.77670- 5 3.59104- 3 2.70000+ 1 3.30000+ 1 8.77058- 4 3.60308- 3 2.70000+ 1 3.50000+ 1 3.38334- 5 3.71890- 3 2.70000+ 1 3.60000+ 1 1.83767- 4 3.72059- 3 2.70000+ 1 4.40000+ 1 5.97093- 6 3.70592- 3 2.90000+ 1 3.00000+ 1 1.04823- 4 3.55642- 3 2.90000+ 1 3.20000+ 1 4.64412- 6 3.66265- 3 2.90000+ 1 3.30000+ 1 9.54068- 4 3.67469- 3 2.90000+ 1 3.50000+ 1 2.05680- 5 3.79051- 3 2.90000+ 1 3.60000+ 1 1.06156- 4 3.79220- 3 2.90000+ 1 4.40000+ 1 1.39324- 5 3.77753- 3 3.00000+ 1 3.00000+ 1 7.23174- 5 3.63706- 3 3.00000+ 1 3.20000+ 1 8.16045- 5 3.74329- 3 3.00000+ 1 3.30000+ 1 1.35882- 3 3.75533- 3 3.00000+ 1 3.50000+ 1 1.32690- 5 3.87115- 3 3.00000+ 1 3.60000+ 1 2.12299- 5 3.87284- 3 3.00000+ 1 4.10000+ 1 9.28831- 6 3.82289- 3 3.00000+ 1 4.30000+ 1 1.52594- 5 3.84467- 3 3.00000+ 1 4.40000+ 1 1.92394- 5 3.85817- 3 3.00000+ 1 5.80000+ 1 6.63461- 7 3.87940- 3 3.20000+ 1 3.20000+ 1 1.26056- 5 3.84952- 3 3.20000+ 1 3.30000+ 1 1.60345- 3 3.86156- 3 3.20000+ 1 3.50000+ 1 2.65364- 5 3.97738- 3 3.20000+ 1 3.60000+ 1 3.54286- 4 3.97907- 3 3.20000+ 1 4.10000+ 1 7.96132- 6 3.92912- 3 3.20000+ 1 4.30000+ 1 6.63446- 7 3.95090- 3 3.20000+ 1 4.40000+ 1 1.06152- 5 3.96440- 3 3.20000+ 1 5.80000+ 1 6.63446- 7 3.98563- 3 3.30000+ 1 3.30000+ 1 1.74087- 3 3.87360- 3 3.30000+ 1 3.50000+ 1 4.33895- 4 3.98942- 3 3.30000+ 1 3.60000+ 1 7.84844- 4 3.99111- 3 3.30000+ 1 4.10000+ 1 1.68510- 4 3.94116- 3 3.30000+ 1 4.30000+ 1 1.54580- 4 3.96294- 3 3.30000+ 1 4.40000+ 1 1.90402- 4 3.97644- 3 3.30000+ 1 5.80000+ 1 1.32687- 5 3.99767- 3 3.50000+ 1 3.50000+ 1 1.28543- 5 4.10524- 3 3.50000+ 1 3.60000+ 1 4.28928- 4 4.10693- 3 3.50000+ 1 4.10000+ 1 6.76535- 6 4.05698- 3 3.50000+ 1 4.30000+ 1 3.38262- 6 4.07876- 3 3.50000+ 1 4.40000+ 1 2.02958- 6 4.09226- 3 3.50000+ 1 5.80000+ 1 6.76535- 7 4.11349- 3 3.60000+ 1 3.60000+ 1 2.55916- 4 4.10862- 3 3.60000+ 1 4.10000+ 1 3.64663- 5 4.05867- 3 3.60000+ 1 4.30000+ 1 1.72377- 5 4.08045- 3 3.60000+ 1 4.40000+ 1 3.31508- 6 4.09395- 3 3.60000+ 1 5.80000+ 1 2.65196- 6 4.11518- 3 4.10000+ 1 4.40000+ 1 1.33189- 6 4.04400- 3 4.30000+ 1 4.40000+ 1 2.05628- 6 4.06578- 3 4.40000+ 1 4.40000+ 1 1.37779- 6 4.07928- 3 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.29679- 5 1.74800- 4 1.90000+ 1 6.28844- 4 4.92200- 4 2.90000+ 1 4.07996- 4 1.39954- 3 3.00000+ 1 5.86674- 5 1.48018- 3 4.30000+ 1 7.93852- 5 1.68779- 3 4.40000+ 1 1.37209- 5 1.70129- 3 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.20000+ 1 5.86600- 2 3.24100- 5 1.80000+ 1 3.30000+ 1 9.07110- 2 4.44500- 5 1.80000+ 1 3.50000+ 1 2.19316- 2 1.60270- 4 1.80000+ 1 3.60000+ 1 2.33448- 2 1.61960- 4 1.80000+ 1 4.10000+ 1 8.53573- 3 1.12010- 4 1.80000+ 1 4.30000+ 1 6.93025- 3 1.33790- 4 1.80000+ 1 4.40000+ 1 8.57486- 3 1.47290- 4 1.80000+ 1 5.80000+ 1 6.59711- 4 1.68520- 4 1.90000+ 1 2.50000+ 1 1.68263- 2 0.00000+ 0 1.90000+ 1 2.70000+ 1 3.47845- 2 9.13300- 5 1.90000+ 1 2.90000+ 1 4.29036- 2 1.62940- 4 1.90000+ 1 3.00000+ 1 3.36658- 2 2.43580- 4 1.90000+ 1 3.20000+ 1 2.90568- 2 3.49810- 4 1.90000+ 1 3.30000+ 1 3.59480- 2 3.61850- 4 1.90000+ 1 3.50000+ 1 1.57830- 3 4.77670- 4 1.90000+ 1 3.60000+ 1 2.64596- 3 4.79360- 4 1.90000+ 1 4.10000+ 1 6.61922- 3 4.29410- 4 1.90000+ 1 4.30000+ 1 6.66302- 3 4.51190- 4 1.90000+ 1 4.40000+ 1 4.78338- 3 4.64690- 4 1.90000+ 1 5.80000+ 1 5.23036- 4 4.85920- 4 2.10000+ 1 2.40000+ 1 3.23842- 3 2.44660- 4 2.10000+ 1 2.50000+ 1 3.57585- 3 2.60410- 4 2.10000+ 1 2.70000+ 1 1.54076- 2 3.71810- 4 2.10000+ 1 2.90000+ 1 5.66253- 3 4.43420- 4 2.10000+ 1 3.00000+ 1 4.26640- 3 5.24060- 4 2.10000+ 1 3.20000+ 1 1.68942- 3 6.30290- 4 2.10000+ 1 3.30000+ 1 3.47144- 3 6.42330- 4 2.10000+ 1 3.50000+ 1 1.17706- 3 7.58150- 4 2.10000+ 1 3.60000+ 1 1.16202- 3 7.59840- 4 2.10000+ 1 4.10000+ 1 2.13021- 3 7.09890- 4 2.10000+ 1 4.30000+ 1 8.51717- 4 7.31670- 4 2.10000+ 1 4.40000+ 1 4.91255- 4 7.45170- 4 2.10000+ 1 5.80000+ 1 1.63672- 4 7.66400- 4 2.20000+ 1 2.40000+ 1 4.18487- 3 3.01960- 4 2.20000+ 1 2.50000+ 1 5.44387- 3 3.17710- 4 2.20000+ 1 2.70000+ 1 2.13122- 2 4.29110- 4 2.20000+ 1 2.90000+ 1 8.25690- 3 5.00720- 4 2.20000+ 1 3.00000+ 1 5.41154- 3 5.81360- 4 2.20000+ 1 3.20000+ 1 2.70659- 3 6.87590- 4 2.20000+ 1 3.30000+ 1 3.30125- 3 6.99630- 4 2.20000+ 1 3.50000+ 1 1.27279- 3 8.15450- 4 2.20000+ 1 3.60000+ 1 1.70876- 3 8.17140- 4 2.20000+ 1 4.10000+ 1 2.92554- 3 7.67190- 4 2.20000+ 1 4.30000+ 1 1.11308- 3 7.88970- 4 2.20000+ 1 4.40000+ 1 6.94669- 4 8.02470- 4 2.20000+ 1 5.80000+ 1 2.24420- 4 8.23700- 4 2.40000+ 1 2.40000+ 1 8.21086- 3 6.72760- 4 2.40000+ 1 2.50000+ 1 1.52308- 2 6.88510- 4 2.40000+ 1 2.70000+ 1 1.90256- 2 7.99910- 4 2.40000+ 1 2.90000+ 1 2.67355- 3 8.71520- 4 2.40000+ 1 3.00000+ 1 1.28121- 2 9.52160- 4 2.40000+ 1 3.20000+ 1 1.17743- 3 1.05839- 3 2.40000+ 1 3.30000+ 1 7.49910- 4 1.07043- 3 2.40000+ 1 3.50000+ 1 4.74447- 4 1.18625- 3 2.40000+ 1 3.60000+ 1 4.42552- 4 1.18794- 3 2.40000+ 1 4.10000+ 1 2.19296- 3 1.13799- 3 2.40000+ 1 4.30000+ 1 3.19928- 4 1.15977- 3 2.40000+ 1 4.40000+ 1 1.35245- 3 1.17327- 3 2.40000+ 1 5.80000+ 1 1.63797- 4 1.19450- 3 2.50000+ 1 2.50000+ 1 1.34884- 2 7.04260- 4 2.50000+ 1 2.70000+ 1 2.45229- 2 8.15660- 4 2.50000+ 1 2.90000+ 1 1.16352- 3 8.87270- 4 2.50000+ 1 3.00000+ 1 1.30449- 2 9.67910- 4 2.50000+ 1 3.20000+ 1 6.61820- 4 1.07414- 3 2.50000+ 1 3.30000+ 1 1.65385- 3 1.08618- 3 2.50000+ 1 3.50000+ 1 4.72056- 4 1.20200- 3 2.50000+ 1 3.60000+ 1 7.59253- 4 1.20369- 3 2.50000+ 1 4.10000+ 1 2.81201- 3 1.15374- 3 2.50000+ 1 4.30000+ 1 1.35179- 4 1.17552- 3 2.50000+ 1 4.40000+ 1 1.31561- 3 1.18902- 3 2.50000+ 1 5.80000+ 1 2.09984- 4 1.21025- 3 2.70000+ 1 2.70000+ 1 1.80338- 2 9.27060- 4 2.70000+ 1 2.90000+ 1 2.72555- 2 9.98670- 4 2.70000+ 1 3.00000+ 1 4.16206- 2 1.07931- 3 2.70000+ 1 3.20000+ 1 4.33755- 2 1.18554- 3 2.70000+ 1 3.30000+ 1 5.94201- 2 1.19758- 3 2.70000+ 1 3.50000+ 1 1.84437- 2 1.31340- 3 2.70000+ 1 3.60000+ 1 2.26119- 2 1.31509- 3 2.70000+ 1 4.10000+ 1 5.72711- 3 1.26514- 3 2.70000+ 1 4.30000+ 1 4.46353- 3 1.28692- 3 2.70000+ 1 4.40000+ 1 5.78430- 3 1.30042- 3 2.70000+ 1 5.80000+ 1 4.51526- 4 1.32165- 3 2.90000+ 1 2.90000+ 1 2.06663- 3 1.07028- 3 2.90000+ 1 3.00000+ 1 9.80609- 3 1.15092- 3 2.90000+ 1 3.20000+ 1 3.85131- 3 1.25715- 3 2.90000+ 1 3.30000+ 1 2.55918- 3 1.26919- 3 2.90000+ 1 3.50000+ 1 9.83245- 4 1.38501- 3 2.90000+ 1 3.60000+ 1 5.56807- 4 1.38670- 3 2.90000+ 1 4.10000+ 1 3.21413- 3 1.33675- 3 2.90000+ 1 4.30000+ 1 5.38958- 4 1.35853- 3 2.90000+ 1 4.40000+ 1 1.00649- 3 1.37203- 3 2.90000+ 1 5.80000+ 1 2.40928- 4 1.39326- 3 3.00000+ 1 3.00000+ 1 4.71317- 3 1.23156- 3 3.00000+ 1 3.20000+ 1 1.97027- 3 1.33779- 3 3.00000+ 1 3.30000+ 1 5.77681- 3 1.34983- 3 3.00000+ 1 3.50000+ 1 5.22182- 3 1.46565- 3 3.00000+ 1 3.60000+ 1 6.36393- 3 1.46734- 3 3.00000+ 1 4.10000+ 1 5.13087- 3 1.41739- 3 3.00000+ 1 4.30000+ 1 1.42591- 3 1.43917- 3 3.00000+ 1 4.40000+ 1 1.14387- 3 1.45267- 3 3.00000+ 1 5.80000+ 1 3.89047- 4 1.47390- 3 3.20000+ 1 3.20000+ 1 1.10112- 3 1.44402- 3 3.20000+ 1 3.30000+ 1 3.71735- 3 1.45606- 3 3.20000+ 1 3.50000+ 1 4.51505- 4 1.57188- 3 3.20000+ 1 3.60000+ 1 3.21231- 4 1.57357- 3 3.20000+ 1 4.10000+ 1 5.18082- 3 1.52362- 3 3.20000+ 1 4.30000+ 1 4.81846- 4 1.54540- 3 3.20000+ 1 4.40000+ 1 1.65973- 4 1.55890- 3 3.20000+ 1 5.80000+ 1 3.89046- 4 1.58013- 3 3.30000+ 1 3.30000+ 1 2.27175- 3 1.46810- 3 3.30000+ 1 3.50000+ 1 3.55123- 4 1.58392- 3 3.30000+ 1 3.60000+ 1 6.54942- 4 1.58561- 3 3.30000+ 1 4.10000+ 1 7.07904- 3 1.53566- 3 3.30000+ 1 4.30000+ 1 2.76613- 4 1.55744- 3 3.30000+ 1 4.40000+ 1 6.24603- 4 1.57094- 3 3.30000+ 1 5.80000+ 1 5.31807- 4 1.59217- 3 3.50000+ 1 3.50000+ 1 4.99524- 5 1.69974- 3 3.50000+ 1 3.60000+ 1 9.81228- 5 1.70143- 3 3.50000+ 1 4.10000+ 1 2.10158- 3 1.65148- 3 3.50000+ 1 4.30000+ 1 1.12396- 4 1.67326- 3 3.50000+ 1 4.40000+ 1 5.78027- 4 1.68676- 3 3.50000+ 1 5.80000+ 1 1.56990- 4 1.70799- 3 3.60000+ 1 3.60000+ 1 8.07512- 5 1.70312- 3 3.60000+ 1 4.10000+ 1 2.58576- 3 1.65317- 3 3.60000+ 1 4.30000+ 1 5.92161- 5 1.67495- 3 3.60000+ 1 4.40000+ 1 6.98041- 4 1.68845- 3 3.60000+ 1 5.80000+ 1 1.93802- 4 1.70968- 3 4.10000+ 1 4.10000+ 1 4.25239- 4 1.60322- 3 4.10000+ 1 4.30000+ 1 5.39729- 4 1.62500- 3 4.10000+ 1 4.40000+ 1 7.12394- 4 1.63850- 3 4.10000+ 1 5.80000+ 1 6.54209- 5 1.65973- 3 4.30000+ 1 4.30000+ 1 3.39083- 5 1.64678- 3 4.30000+ 1 4.40000+ 1 1.42777- 4 1.66028- 3 4.30000+ 1 5.80000+ 1 3.92622- 5 1.68151- 3 4.40000+ 1 4.40000+ 1 6.60302- 5 1.67378- 3 4.40000+ 1 5.80000+ 1 5.35387- 5 1.69501- 3 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.11313- 3 5.97880- 4 2.70000+ 1 2.52413- 4 1.15313- 3 3.20000+ 1 6.25841- 5 1.41161- 3 4.10000+ 1 5.18050- 5 1.49121- 3 5.80000+ 1 4.42101- 6 1.54772- 3 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 3.00000+ 1 1.29387- 2 6.87800- 5 1.90000+ 1 3.20000+ 1 8.34978- 3 1.75010- 4 1.90000+ 1 3.30000+ 1 1.18672- 2 1.87050- 4 1.90000+ 1 3.50000+ 1 1.95119- 3 3.02870- 4 1.90000+ 1 3.60000+ 1 2.83439- 3 3.04560- 4 1.90000+ 1 4.10000+ 1 1.66164- 3 2.54610- 4 1.90000+ 1 4.30000+ 1 1.92667- 3 2.76390- 4 1.90000+ 1 4.40000+ 1 1.45710- 3 2.89890- 4 1.90000+ 1 5.80000+ 1 1.28778- 4 3.11120- 4 2.10000+ 1 2.40000+ 1 6.51996- 2 6.98600- 5 2.10000+ 1 2.50000+ 1 1.84847- 1 8.56100- 5 2.10000+ 1 2.70000+ 1 2.78245- 2 1.97010- 4 2.10000+ 1 2.90000+ 1 2.31369- 2 2.68620- 4 2.10000+ 1 3.00000+ 1 2.55024- 2 3.49260- 4 2.10000+ 1 3.20000+ 1 1.39417- 2 4.55490- 4 2.10000+ 1 3.30000+ 1 1.95747- 2 4.67530- 4 2.10000+ 1 3.50000+ 1 2.13989- 3 5.83350- 4 2.10000+ 1 3.60000+ 1 3.97589- 3 5.85040- 4 2.10000+ 1 4.10000+ 1 5.35559- 3 5.35090- 4 2.10000+ 1 4.30000+ 1 3.51923- 3 5.56870- 4 2.10000+ 1 4.40000+ 1 3.52618- 3 5.70370- 4 2.10000+ 1 5.80000+ 1 4.31591- 4 5.91600- 4 2.20000+ 1 2.40000+ 1 4.03415- 2 1.27160- 4 2.20000+ 1 2.50000+ 1 1.00474- 2 1.42910- 4 2.20000+ 1 2.70000+ 1 4.31359- 3 2.54310- 4 2.20000+ 1 2.90000+ 1 1.90355- 2 3.25920- 4 2.20000+ 1 3.00000+ 1 3.47048- 3 4.06560- 4 2.20000+ 1 3.20000+ 1 1.66755- 3 5.12790- 4 2.20000+ 1 3.30000+ 1 1.92682- 3 5.24830- 4 2.20000+ 1 3.50000+ 1 5.51915- 4 6.40650- 4 2.20000+ 1 3.60000+ 1 3.62273- 4 6.42340- 4 2.20000+ 1 4.10000+ 1 6.32387- 4 5.92390- 4 2.20000+ 1 4.30000+ 1 1.98114- 3 6.14170- 4 2.20000+ 1 4.40000+ 1 3.62373- 4 6.27670- 4 2.20000+ 1 5.80000+ 1 4.89893- 5 6.48900- 4 2.40000+ 1 2.40000+ 1 1.69582- 3 4.97960- 4 2.40000+ 1 2.50000+ 1 8.43534- 3 5.13710- 4 2.40000+ 1 2.70000+ 1 4.42715- 3 6.25110- 4 2.40000+ 1 2.90000+ 1 1.66211- 2 6.96720- 4 2.40000+ 1 3.00000+ 1 1.75472- 3 7.77360- 4 2.40000+ 1 3.20000+ 1 5.24666- 3 8.83590- 4 2.40000+ 1 3.30000+ 1 4.56589- 3 8.95630- 4 2.40000+ 1 3.50000+ 1 6.67072- 4 1.01145- 3 2.40000+ 1 3.60000+ 1 4.66023- 4 1.01314- 3 2.40000+ 1 4.10000+ 1 8.57505- 4 9.63190- 4 2.40000+ 1 4.30000+ 1 1.76881- 3 9.84970- 4 2.40000+ 1 4.40000+ 1 2.11771- 4 9.98470- 4 2.40000+ 1 5.80000+ 1 6.85569- 5 1.01970- 3 2.50000+ 1 2.50000+ 1 4.60763- 4 5.29460- 4 2.50000+ 1 2.70000+ 1 2.38542- 3 6.40860- 4 2.50000+ 1 2.90000+ 1 2.52252- 2 7.12470- 4 2.50000+ 1 3.00000+ 1 1.32907- 3 7.93110- 4 2.50000+ 1 3.20000+ 1 1.12666- 2 8.99340- 4 2.50000+ 1 3.30000+ 1 1.10090- 3 9.11380- 4 2.50000+ 1 3.50000+ 1 1.29742- 4 1.02720- 3 2.50000+ 1 3.60000+ 1 8.42808- 5 1.02889- 3 2.50000+ 1 4.10000+ 1 3.37774- 4 9.78940- 4 2.50000+ 1 4.30000+ 1 2.56275- 3 1.00072- 3 2.50000+ 1 4.40000+ 1 1.53062- 4 1.01422- 3 2.50000+ 1 5.80000+ 1 2.58844- 5 1.03545- 3 2.70000+ 1 2.70000+ 1 2.48343- 3 7.52260- 4 2.70000+ 1 2.90000+ 1 3.18026- 2 8.23870- 4 2.70000+ 1 3.00000+ 1 6.04339- 3 9.04510- 4 2.70000+ 1 3.20000+ 1 8.24032- 3 1.01074- 3 2.70000+ 1 3.30000+ 1 5.52003- 3 1.02278- 3 2.70000+ 1 3.50000+ 1 6.16880- 4 1.13860- 3 2.70000+ 1 3.60000+ 1 1.27953- 3 1.14029- 3 2.70000+ 1 4.10000+ 1 7.30307- 4 1.09034- 3 2.70000+ 1 4.30000+ 1 3.21375- 3 1.11212- 3 2.70000+ 1 4.40000+ 1 7.52226- 4 1.12562- 3 2.70000+ 1 5.80000+ 1 5.57188- 5 1.14685- 3 2.90000+ 1 2.90000+ 1 2.19958- 2 8.95480- 4 2.90000+ 1 3.00000+ 1 5.61954- 2 9.76120- 4 2.90000+ 1 3.20000+ 1 4.67938- 2 1.08235- 3 2.90000+ 1 3.30000+ 1 7.75676- 2 1.09439- 3 2.90000+ 1 3.50000+ 1 2.19289- 2 1.21021- 3 2.90000+ 1 3.60000+ 1 2.92274- 2 1.21190- 3 2.90000+ 1 4.10000+ 1 6.30515- 3 1.16195- 3 2.90000+ 1 4.30000+ 1 5.91107- 3 1.18373- 3 2.90000+ 1 4.40000+ 1 7.84385- 3 1.19723- 3 2.90000+ 1 5.80000+ 1 5.07510- 4 1.21846- 3 3.00000+ 1 3.00000+ 1 1.65387- 3 1.05676- 3 3.00000+ 1 3.20000+ 1 7.84587- 3 1.16299- 3 3.00000+ 1 3.30000+ 1 3.69059- 3 1.17503- 3 3.00000+ 1 3.50000+ 1 6.58307- 4 1.29085- 3 3.00000+ 1 3.60000+ 1 1.01339- 3 1.29254- 3 3.00000+ 1 4.10000+ 1 8.17871- 4 1.24259- 3 3.00000+ 1 4.30000+ 1 5.80498- 3 1.26437- 3 3.00000+ 1 4.40000+ 1 3.90996- 4 1.27787- 3 3.00000+ 1 5.80000+ 1 6.18412- 5 1.29910- 3 3.20000+ 1 3.20000+ 1 2.87968- 3 1.26922- 3 3.20000+ 1 3.30000+ 1 4.14311- 3 1.28126- 3 3.20000+ 1 3.50000+ 1 3.73079- 3 1.39708- 3 3.20000+ 1 3.60000+ 1 6.04764- 3 1.39877- 3 3.20000+ 1 4.10000+ 1 1.39887- 3 1.34882- 3 3.20000+ 1 4.30000+ 1 4.75190- 3 1.37060- 3 3.20000+ 1 4.40000+ 1 1.01910- 3 1.38410- 3 3.20000+ 1 5.80000+ 1 1.12598- 4 1.40533- 3 3.30000+ 1 3.30000+ 1 7.13784- 4 1.29330- 3 3.30000+ 1 3.50000+ 1 9.06521- 4 1.40912- 3 3.30000+ 1 3.60000+ 1 5.15289- 4 1.41081- 3 3.30000+ 1 4.10000+ 1 6.43169- 4 1.36086- 3 3.30000+ 1 4.30000+ 1 7.76351- 3 1.38264- 3 3.30000+ 1 4.40000+ 1 3.98874- 4 1.39614- 3 3.30000+ 1 5.80000+ 1 4.77123- 5 1.41737- 3 3.50000+ 1 3.50000+ 1 9.39633- 5 1.52494- 3 3.50000+ 1 3.60000+ 1 1.52685- 4 1.52663- 3 3.50000+ 1 4.10000+ 1 1.05711- 4 1.47668- 3 3.50000+ 1 4.30000+ 1 2.14939- 3 1.49846- 3 3.50000+ 1 4.40000+ 1 7.43869- 5 1.51196- 3 3.50000+ 1 5.80000+ 1 7.83016- 6 1.53319- 3 3.60000+ 1 3.60000+ 1 3.71833- 5 1.52832- 3 3.60000+ 1 4.10000+ 1 1.72219- 4 1.47837- 3 3.60000+ 1 4.30000+ 1 2.87688- 3 1.50015- 3 3.60000+ 1 4.40000+ 1 1.05681- 4 1.51365- 3 3.60000+ 1 5.80000+ 1 1.36990- 5 1.53488- 3 4.10000+ 1 4.10000+ 1 5.34360- 5 1.42842- 3 4.10000+ 1 4.30000+ 1 6.16415- 4 1.45020- 3 4.10000+ 1 4.40000+ 1 9.73253- 5 1.46370- 3 4.10000+ 1 5.80000+ 1 7.63347- 6 1.48493- 3 4.30000+ 1 4.30000+ 1 3.64871- 4 1.47198- 3 4.30000+ 1 4.40000+ 1 7.98410- 4 1.48548- 3 4.30000+ 1 5.80000+ 1 5.10029- 5 1.50671- 3 4.40000+ 1 4.40000+ 1 2.31784- 5 1.49898- 3 4.40000+ 1 5.80000+ 1 8.42823- 6 1.52021- 3 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.13700- 5 2.80480- 4 2.20000+ 1 1.87170- 4 3.37780- 4 2.70000+ 1 3.30381- 4 8.35730- 4 3.20000+ 1 3.91981- 5 1.09421- 3 3.30000+ 1 2.27471- 4 1.10625- 3 4.10000+ 1 6.49781- 5 1.17381- 3 5.80000+ 1 5.51781- 6 1.23032- 3 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.00000+ 1 4.75851- 2 3.18600- 5 2.10000+ 1 3.20000+ 1 1.81771- 2 1.38090- 4 2.10000+ 1 3.30000+ 1 2.69492- 2 1.50130- 4 2.10000+ 1 3.50000+ 1 3.41435- 3 2.65950- 4 2.10000+ 1 3.60000+ 1 3.04389- 3 2.67640- 4 2.10000+ 1 4.10000+ 1 3.88900- 3 2.17690- 4 2.10000+ 1 4.30000+ 1 2.79541- 3 2.39470- 4 2.10000+ 1 4.40000+ 1 5.60013- 3 2.52970- 4 2.10000+ 1 5.80000+ 1 3.06009- 4 2.74200- 4 2.20000+ 1 2.90000+ 1 1.28376- 1 8.52000- 6 2.20000+ 1 3.00000+ 1 1.29036- 1 8.91600- 5 2.20000+ 1 3.20000+ 1 1.16678- 1 1.95390- 4 2.20000+ 1 3.30000+ 1 1.39345- 1 2.07430- 4 2.20000+ 1 3.50000+ 1 1.01710- 2 3.23250- 4 2.20000+ 1 3.60000+ 1 1.26246- 2 3.24940- 4 2.20000+ 1 4.10000+ 1 2.20865- 2 2.74990- 4 2.20000+ 1 4.30000+ 1 1.95619- 2 2.96770- 4 2.20000+ 1 4.40000+ 1 1.67312- 2 3.10270- 4 2.20000+ 1 5.80000+ 1 1.74031- 3 3.31500- 4 2.40000+ 1 2.40000+ 1 1.02899- 3 1.80560- 4 2.40000+ 1 2.50000+ 1 2.36804- 3 1.96310- 4 2.40000+ 1 2.70000+ 1 9.95722- 3 3.07710- 4 2.40000+ 1 2.90000+ 1 4.99666- 3 3.79320- 4 2.40000+ 1 3.00000+ 1 5.26923- 2 4.59960- 4 2.40000+ 1 3.20000+ 1 2.14076- 3 5.66190- 4 2.40000+ 1 3.30000+ 1 7.51829- 3 5.78230- 4 2.40000+ 1 3.50000+ 1 7.76217- 4 6.94050- 4 2.40000+ 1 3.60000+ 1 7.71687- 4 6.95740- 4 2.40000+ 1 4.10000+ 1 1.15888- 3 6.45790- 4 2.40000+ 1 4.30000+ 1 6.76157- 4 6.67570- 4 2.40000+ 1 4.40000+ 1 4.89727- 3 6.81070- 4 2.40000+ 1 5.80000+ 1 8.67476- 5 7.02300- 4 2.50000+ 1 2.50000+ 1 3.27008- 3 2.12060- 4 2.50000+ 1 2.70000+ 1 2.34786- 2 3.23460- 4 2.50000+ 1 2.90000+ 1 1.79762- 2 3.95070- 4 2.50000+ 1 3.00000+ 1 6.39667- 2 4.75710- 4 2.50000+ 1 3.20000+ 1 1.58755- 3 5.81940- 4 2.50000+ 1 3.30000+ 1 1.09100- 2 5.93980- 4 2.50000+ 1 3.50000+ 1 3.17649- 3 7.09800- 4 2.50000+ 1 3.60000+ 1 3.84432- 3 7.11490- 4 2.50000+ 1 4.10000+ 1 3.34227- 3 6.61540- 4 2.50000+ 1 4.30000+ 1 2.56785- 3 6.83320- 4 2.50000+ 1 4.40000+ 1 6.00211- 3 6.96820- 4 2.50000+ 1 5.80000+ 1 2.58115- 4 7.18050- 4 2.70000+ 1 2.70000+ 1 6.65252- 5 4.34860- 4 2.70000+ 1 2.90000+ 1 2.80731- 4 5.06470- 4 2.70000+ 1 3.00000+ 1 4.96759- 3 5.87110- 4 2.70000+ 1 3.20000+ 1 4.56363- 4 6.93340- 4 2.70000+ 1 3.30000+ 1 7.53333- 4 7.05380- 4 2.70000+ 1 3.50000+ 1 2.26987- 4 8.21200- 4 2.70000+ 1 3.60000+ 1 2.28047- 4 8.22890- 4 2.70000+ 1 4.10000+ 1 2.55454- 5 7.72940- 4 2.70000+ 1 4.30000+ 1 2.98030- 5 7.94720- 4 2.70000+ 1 4.40000+ 1 4.41465- 4 8.08220- 4 2.70000+ 1 5.80000+ 1 2.12888- 6 8.29450- 4 2.90000+ 1 2.90000+ 1 7.18470- 6 5.78080- 4 2.90000+ 1 3.00000+ 1 5.74805- 3 6.58720- 4 2.90000+ 1 3.20000+ 1 2.62641- 4 7.64950- 4 2.90000+ 1 3.30000+ 1 6.98243- 4 7.76990- 4 2.90000+ 1 3.50000+ 1 1.80150- 4 8.92810- 4 2.90000+ 1 3.60000+ 1 4.12985- 4 8.94500- 4 2.90000+ 1 4.10000+ 1 4.78977- 5 8.44550- 4 2.90000+ 1 4.30000+ 1 7.45078- 6 8.66330- 4 2.90000+ 1 4.40000+ 1 5.25021- 4 8.79830- 4 2.90000+ 1 5.80000+ 1 3.99145- 6 9.01060- 4 3.00000+ 1 3.00000+ 1 7.16759- 3 7.39360- 4 3.00000+ 1 3.20000+ 1 8.77945- 3 8.45590- 4 3.00000+ 1 3.30000+ 1 1.16250- 2 8.57630- 4 3.00000+ 1 3.50000+ 1 3.84598- 3 9.73450- 4 3.00000+ 1 3.60000+ 1 4.54372- 3 9.75140- 4 3.00000+ 1 4.10000+ 1 9.88797- 4 9.25190- 4 3.00000+ 1 4.30000+ 1 9.11684- 4 9.46970- 4 3.00000+ 1 4.40000+ 1 1.65726- 3 9.60470- 4 3.00000+ 1 5.80000+ 1 7.95653- 5 9.81700- 4 3.20000+ 1 3.20000+ 1 1.72446- 4 9.51820- 4 3.20000+ 1 3.30000+ 1 1.03542- 3 9.63860- 4 3.20000+ 1 3.50000+ 1 8.59534- 5 1.07968- 3 3.20000+ 1 3.60000+ 1 1.71107- 4 1.08137- 3 3.20000+ 1 4.10000+ 1 6.17373- 5 1.03142- 3 3.20000+ 1 4.30000+ 1 4.28427- 5 1.05320- 3 3.20000+ 1 4.40000+ 1 8.10308- 4 1.06670- 3 3.20000+ 1 5.80000+ 1 4.78993- 6 1.08793- 3 3.30000+ 1 3.30000+ 1 9.84581- 4 9.75900- 4 3.30000+ 1 3.50000+ 1 2.90854- 4 1.09172- 3 3.30000+ 1 3.60000+ 1 3.93835- 4 1.09341- 3 3.30000+ 1 4.10000+ 1 1.43437- 4 1.04346- 3 3.30000+ 1 4.30000+ 1 1.17350- 4 1.06524- 3 3.30000+ 1 4.40000+ 1 1.08651- 3 1.07874- 3 3.30000+ 1 5.80000+ 1 1.14430- 5 1.09997- 3 3.50000+ 1 3.50000+ 1 7.49253- 6 1.20754- 3 3.50000+ 1 3.60000+ 1 3.79975- 5 1.20923- 3 3.50000+ 1 4.10000+ 1 2.80975- 5 1.15928- 3 3.50000+ 1 4.30000+ 1 9.63322- 6 1.18106- 3 3.50000+ 1 4.40000+ 1 3.44120- 4 1.19456- 3 3.50000+ 1 5.80000+ 1 2.14079- 6 1.21579- 3 3.60000+ 1 3.60000+ 1 2.42553- 5 1.21092- 3 3.60000+ 1 4.10000+ 1 2.96458- 5 1.16097- 3 3.60000+ 1 4.30000+ 1 2.26381- 5 1.18275- 3 3.60000+ 1 4.40000+ 1 4.07486- 4 1.19625- 3 3.60000+ 1 5.80000+ 1 2.15606- 6 1.21748- 3 4.10000+ 1 4.10000+ 1 5.32195- 7 1.11102- 3 4.10000+ 1 4.30000+ 1 3.45924- 6 1.13280- 3 4.10000+ 1 4.40000+ 1 8.80788- 5 1.14630- 3 4.30000+ 1 4.30000+ 1 2.66112- 7 1.15458- 3 4.30000+ 1 4.40000+ 1 8.30220- 5 1.16808- 3 4.30000+ 1 5.80000+ 1 2.66112- 7 1.18931- 3 4.40000+ 1 4.40000+ 1 9.04745- 5 1.18158- 3 4.40000+ 1 5.80000+ 1 7.18474- 6 1.20281- 3 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.94850- 4 4.28100- 4 2.90000+ 1 2.14670- 4 6.26860- 4 3.00000+ 1 2.27240- 5 7.07500- 4 3.50000+ 1 1.19250- 4 9.41590- 4 4.30000+ 1 3.49840- 5 9.15110- 4 4.40000+ 1 3.30590- 6 9.28610- 4 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.50000+ 1 3.99150- 3 4.27700- 5 2.20000+ 1 3.60000+ 1 4.89751- 3 4.44600- 5 2.20000+ 1 4.10000+ 1 2.35013- 3 0.00000+ 0 2.20000+ 1 4.30000+ 1 1.19474- 3 1.62900- 5 2.20000+ 1 4.40000+ 1 2.53770- 3 2.97900- 5 2.20000+ 1 5.80000+ 1 1.62426- 4 5.10200- 5 2.40000+ 1 2.70000+ 1 1.23058- 1 2.72300- 5 2.40000+ 1 2.90000+ 1 1.10888- 1 9.88400- 5 2.40000+ 1 3.00000+ 1 1.23048- 1 1.79480- 4 2.40000+ 1 3.20000+ 1 1.26939- 1 2.85710- 4 2.40000+ 1 3.30000+ 1 1.32100- 1 2.97750- 4 2.40000+ 1 3.50000+ 1 7.32461- 3 4.13570- 4 2.40000+ 1 3.60000+ 1 5.96262- 3 4.15260- 4 2.40000+ 1 4.10000+ 1 2.36947- 2 3.65310- 4 2.40000+ 1 4.30000+ 1 1.76992- 2 3.87090- 4 2.40000+ 1 4.40000+ 1 1.67171- 2 4.00590- 4 2.40000+ 1 5.80000+ 1 1.91854- 3 4.21820- 4 2.50000+ 1 2.70000+ 1 8.45419- 3 4.29800- 5 2.50000+ 1 2.90000+ 1 1.82463- 2 1.14590- 4 2.50000+ 1 3.00000+ 1 8.04056- 3 1.95230- 4 2.50000+ 1 3.20000+ 1 1.34089- 1 3.01460- 4 2.50000+ 1 3.30000+ 1 5.59749- 3 3.13500- 4 2.50000+ 1 3.50000+ 1 1.97274- 3 4.29320- 4 2.50000+ 1 3.60000+ 1 6.45264- 4 4.31010- 4 2.50000+ 1 4.10000+ 1 1.18168- 3 3.81060- 4 2.50000+ 1 4.30000+ 1 1.77192- 3 4.02840- 4 2.50000+ 1 4.40000+ 1 8.19007- 4 4.16340- 4 2.50000+ 1 5.80000+ 1 9.20044- 5 4.37570- 4 2.70000+ 1 2.70000+ 1 8.52697- 4 1.54380- 4 2.70000+ 1 2.90000+ 1 2.13909- 3 2.25990- 4 2.70000+ 1 3.00000+ 1 1.48323- 3 3.06630- 4 2.70000+ 1 3.20000+ 1 1.19341- 2 4.12860- 4 2.70000+ 1 3.30000+ 1 1.66765- 3 4.24900- 4 2.70000+ 1 3.50000+ 1 1.78256- 3 5.40720- 4 2.70000+ 1 3.60000+ 1 1.47663- 3 5.42410- 4 2.70000+ 1 4.10000+ 1 1.95508- 4 4.92460- 4 2.70000+ 1 4.30000+ 1 2.23860- 4 5.14240- 4 2.70000+ 1 4.40000+ 1 1.63474- 4 5.27740- 4 2.70000+ 1 5.80000+ 1 1.51973- 5 5.48970- 4 2.90000+ 1 2.90000+ 1 5.49142- 4 2.97600- 4 2.90000+ 1 3.00000+ 1 1.92541- 3 3.78240- 4 2.90000+ 1 3.20000+ 1 8.74591- 3 4.84470- 4 2.90000+ 1 3.30000+ 1 9.20444- 4 4.96510- 4 2.90000+ 1 3.50000+ 1 2.43564- 4 6.12330- 4 2.90000+ 1 3.60000+ 1 2.22203- 4 6.14020- 4 2.90000+ 1 4.10000+ 1 1.62639- 4 5.64070- 4 2.90000+ 1 4.30000+ 1 1.19527- 4 5.85850- 4 2.90000+ 1 4.40000+ 1 1.54428- 4 5.99350- 4 2.90000+ 1 5.80000+ 1 1.27327- 5 6.20580- 4 3.00000+ 1 3.00000+ 1 6.43188- 4 4.58880- 4 3.00000+ 1 3.20000+ 1 1.76147- 2 5.65110- 4 3.00000+ 1 3.30000+ 1 1.47906- 3 5.77150- 4 3.00000+ 1 3.50000+ 1 6.75650- 4 6.92970- 4 3.00000+ 1 3.60000+ 1 3.87316- 4 6.94660- 4 3.00000+ 1 4.10000+ 1 7.02331- 5 6.44710- 4 3.00000+ 1 4.30000+ 1 1.37996- 4 6.66490- 4 3.00000+ 1 4.40000+ 1 1.10895- 4 6.79990- 4 3.00000+ 1 5.80000+ 1 4.92872- 6 7.01220- 4 3.20000+ 1 3.20000+ 1 1.15358- 2 6.71340- 4 3.20000+ 1 3.30000+ 1 2.23475- 2 6.83380- 4 3.20000+ 1 3.50000+ 1 6.63336- 3 7.99200- 4 3.20000+ 1 3.60000+ 1 8.94372- 3 8.00890- 4 3.20000+ 1 4.10000+ 1 1.88074- 3 7.50940- 4 3.20000+ 1 4.30000+ 1 1.42109- 3 7.72720- 4 3.20000+ 1 4.40000+ 1 2.34286- 3 7.86220- 4 3.20000+ 1 5.80000+ 1 1.49910- 4 8.07450- 4 3.30000+ 1 3.30000+ 1 3.74996- 4 6.95420- 4 3.30000+ 1 3.50000+ 1 7.56151- 4 8.11240- 4 3.30000+ 1 3.60000+ 1 2.55877- 4 8.12930- 4 3.30000+ 1 4.10000+ 1 7.18779- 5 7.62980- 4 3.30000+ 1 4.30000+ 1 7.76283- 5 7.84760- 4 3.30000+ 1 4.40000+ 1 1.30619- 4 7.98260- 4 3.30000+ 1 5.80000+ 1 5.75019- 6 8.19490- 4 3.50000+ 1 3.50000+ 1 9.46078- 5 9.27060- 4 3.50000+ 1 3.60000+ 1 1.60302- 4 9.28750- 4 3.50000+ 1 4.10000+ 1 9.79122- 5 8.78800- 4 3.50000+ 1 4.30000+ 1 3.84207- 5 9.00580- 4 3.50000+ 1 4.40000+ 1 7.22977- 5 9.14080- 4 3.50000+ 1 5.80000+ 1 6.61003- 6 9.35310- 4 3.60000+ 1 3.60000+ 1 2.09512- 5 9.30440- 4 3.60000+ 1 4.10000+ 1 6.58479- 5 8.80490- 4 3.60000+ 1 4.30000+ 1 3.24961- 5 9.02270- 4 3.60000+ 1 4.40000+ 1 3.71988- 5 9.15770- 4 3.60000+ 1 5.80000+ 1 4.27593- 6 9.37000- 4 4.10000+ 1 4.10000+ 1 5.49777- 6 8.30540- 4 4.10000+ 1 4.30000+ 1 1.09962- 5 8.52320- 4 4.10000+ 1 4.40000+ 1 7.18927- 6 8.65820- 4 4.10000+ 1 5.80000+ 1 8.45796- 7 8.87050- 4 4.30000+ 1 4.30000+ 1 2.05367- 6 8.74100- 4 4.30000+ 1 4.40000+ 1 1.06799- 5 8.87600- 4 4.30000+ 1 5.80000+ 1 8.21466- 7 9.08830- 4 4.40000+ 1 4.40000+ 1 4.92886- 6 9.01100- 4 4.40000+ 1 5.80000+ 1 4.10739- 7 9.22330- 4 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.68385- 5 3.70800- 4 2.50000+ 1 3.92443- 4 3.86550- 4 3.00000+ 1 1.66218- 4 6.50200- 4 3.50000+ 1 7.71121- 6 8.84290- 4 3.60000+ 1 1.27768- 4 8.85980- 4 4.40000+ 1 2.40591- 5 8.71310- 4 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.90000+ 1 8.64030- 3 4.15400- 5 2.40000+ 1 3.00000+ 1 1.65397- 2 1.22180- 4 2.40000+ 1 3.20000+ 1 8.31728- 3 2.28410- 4 2.40000+ 1 3.30000+ 1 1.12992- 1 2.40450- 4 2.40000+ 1 3.50000+ 1 1.49794- 3 3.56270- 4 2.40000+ 1 3.60000+ 1 1.40774- 3 3.57960- 4 2.40000+ 1 4.10000+ 1 2.20733- 3 3.08010- 4 2.40000+ 1 4.30000+ 1 1.46853- 3 3.29790- 4 2.40000+ 1 4.40000+ 1 1.83063- 3 3.43290- 4 2.40000+ 1 5.80000+ 1 1.69542- 4 3.64520- 4 2.50000+ 1 2.90000+ 1 1.45120- 1 5.72900- 5 2.50000+ 1 3.00000+ 1 1.24602- 1 1.37930- 4 2.50000+ 1 3.20000+ 1 1.26835- 1 2.44160- 4 2.50000+ 1 3.30000+ 1 2.23222- 1 2.56200- 4 2.50000+ 1 3.50000+ 1 8.06739- 3 3.72020- 4 2.50000+ 1 3.60000+ 1 1.32735- 2 3.73710- 4 2.50000+ 1 4.10000+ 1 2.63106- 2 3.23760- 4 2.50000+ 1 4.30000+ 1 2.24899- 2 3.45540- 4 2.50000+ 1 4.40000+ 1 1.68830- 2 3.59040- 4 2.50000+ 1 5.80000+ 1 2.06128- 3 3.80270- 4 2.70000+ 1 2.70000+ 1 1.64587- 3 9.70800- 5 2.70000+ 1 2.90000+ 1 2.42641- 3 1.68690- 4 2.70000+ 1 3.00000+ 1 3.16516- 3 2.49330- 4 2.70000+ 1 3.20000+ 1 2.69702- 3 3.55560- 4 2.70000+ 1 3.30000+ 1 1.41969- 2 3.67600- 4 2.70000+ 1 3.50000+ 1 2.07909- 3 4.83420- 4 2.70000+ 1 3.60000+ 1 3.18893- 3 4.85110- 4 2.70000+ 1 4.10000+ 1 3.65805- 4 4.35160- 4 2.70000+ 1 4.30000+ 1 2.70925- 4 4.56940- 4 2.70000+ 1 4.40000+ 1 3.41561- 4 4.70440- 4 2.70000+ 1 5.80000+ 1 2.75924- 5 4.91670- 4 2.90000+ 1 2.90000+ 1 3.57852- 4 2.40300- 4 2.90000+ 1 3.00000+ 1 3.63062- 3 3.20940- 4 2.90000+ 1 3.20000+ 1 6.10948- 4 4.27170- 4 2.90000+ 1 3.30000+ 1 1.35881- 2 4.39210- 4 2.90000+ 1 3.50000+ 1 3.03779- 4 5.55030- 4 2.90000+ 1 3.60000+ 1 6.06291- 4 5.56720- 4 2.90000+ 1 4.10000+ 1 1.66463- 4 5.06770- 4 2.90000+ 1 4.30000+ 1 8.11210- 5 5.28550- 4 2.90000+ 1 4.40000+ 1 2.80128- 4 5.42050- 4 2.90000+ 1 5.80000+ 1 1.18301- 5 5.63280- 4 3.00000+ 1 3.00000+ 1 1.16198- 3 4.01580- 4 3.00000+ 1 3.20000+ 1 2.38926- 3 5.07810- 4 3.00000+ 1 3.30000+ 1 1.72423- 2 5.19850- 4 3.00000+ 1 3.50000+ 1 6.09849- 4 6.35670- 4 3.00000+ 1 3.60000+ 1 7.85528- 4 6.37360- 4 3.00000+ 1 4.10000+ 1 9.74581- 5 5.87410- 4 3.00000+ 1 4.30000+ 1 1.43890- 4 6.09190- 4 3.00000+ 1 4.40000+ 1 2.02033- 4 6.22690- 4 3.00000+ 1 5.80000+ 1 5.85594- 6 6.43920- 4 3.20000+ 1 3.20000+ 1 1.43715- 4 6.14040- 4 3.20000+ 1 3.30000+ 1 1.73827- 2 6.26080- 4 3.20000+ 1 3.50000+ 1 2.12640- 4 7.41900- 4 3.20000+ 1 3.60000+ 1 7.95015- 4 7.43590- 4 3.20000+ 1 4.10000+ 1 7.14380- 5 6.93640- 4 3.20000+ 1 4.30000+ 1 4.97157- 5 7.15420- 4 3.20000+ 1 4.40000+ 1 2.18906- 4 7.28920- 4 3.20000+ 1 5.80000+ 1 5.01332- 6 7.50150- 4 3.30000+ 1 3.30000+ 1 1.82449- 2 6.38120- 4 3.30000+ 1 3.50000+ 1 8.58576- 3 7.53940- 4 3.30000+ 1 3.60000+ 1 1.00820- 2 7.55630- 4 3.30000+ 1 4.10000+ 1 1.91644- 3 7.05680- 4 3.30000+ 1 4.30000+ 1 1.80571- 3 7.27460- 4 3.30000+ 1 4.40000+ 1 2.18857- 3 7.40960- 4 3.30000+ 1 5.80000+ 1 1.48988- 4 7.62190- 4 3.50000+ 1 3.50000+ 1 2.42678- 5 8.69760- 4 3.50000+ 1 3.60000+ 1 1.69539- 4 8.71450- 4 3.50000+ 1 4.10000+ 1 7.17759- 5 8.21500- 4 3.50000+ 1 4.30000+ 1 2.46102- 5 8.43280- 4 3.50000+ 1 4.40000+ 1 4.10161- 5 8.56780- 4 3.50000+ 1 5.80000+ 1 4.44339- 6 8.78010- 4 3.60000+ 1 3.60000+ 1 1.52043- 4 8.73140- 4 3.60000+ 1 4.10000+ 1 1.25871- 4 8.23190- 4 3.60000+ 1 4.30000+ 1 4.20771- 5 8.44970- 4 3.60000+ 1 4.40000+ 1 6.61198- 5 8.58470- 4 3.60000+ 1 5.80000+ 1 8.13238- 6 8.79700- 4 4.10000+ 1 4.10000+ 1 1.10274- 5 7.73240- 4 4.10000+ 1 4.30000+ 1 1.39962- 5 7.95020- 4 4.10000+ 1 4.40000+ 1 1.14522- 5 8.08520- 4 4.10000+ 1 5.80000+ 1 1.69649- 6 8.29750- 4 4.30000+ 1 4.30000+ 1 2.72907- 6 8.16800- 4 4.30000+ 1 4.40000+ 1 1.41004- 5 8.30300- 4 4.30000+ 1 5.80000+ 1 9.09681- 7 8.51530- 4 4.40000+ 1 4.40000+ 1 1.02332- 5 8.43800- 4 4.40000+ 1 5.80000+ 1 8.89834- 7 8.65030- 4 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.47921- 4 3.85630- 4 3.30000+ 1 9.16585- 6 3.97670- 4 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 3.50000+ 1 2.35410- 1 1.22000- 6 2.50000+ 1 3.60000+ 1 1.43896- 2 2.91000- 6 2.50000+ 1 5.80000+ 1 2.82190- 4 9.47000- 6 2.70000+ 1 3.50000+ 1 5.28212- 2 1.12620- 4 2.70000+ 1 3.60000+ 1 1.02456- 2 1.14310- 4 2.70000+ 1 4.10000+ 1 8.18804- 4 6.43600- 5 2.70000+ 1 4.30000+ 1 1.06025- 3 8.61400- 5 2.70000+ 1 4.40000+ 1 2.34098- 3 9.96400- 5 2.70000+ 1 5.80000+ 1 5.24878- 5 1.20870- 4 2.90000+ 1 3.20000+ 1 2.81018- 2 5.63700- 5 2.90000+ 1 3.30000+ 1 5.96962- 2 6.84100- 5 2.90000+ 1 3.50000+ 1 5.23907- 2 1.84230- 4 2.90000+ 1 3.60000+ 1 1.23424- 2 1.85920- 4 2.90000+ 1 4.10000+ 1 7.42530- 3 1.35970- 4 2.90000+ 1 4.30000+ 1 4.11168- 3 1.57750- 4 2.90000+ 1 4.40000+ 1 6.19355- 3 1.71250- 4 2.90000+ 1 5.80000+ 1 5.49386- 4 1.92480- 4 3.00000+ 1 3.00000+ 1 8.80041- 3 3.07800- 5 3.00000+ 1 3.20000+ 1 5.18411- 2 1.37010- 4 3.00000+ 1 3.30000+ 1 3.79052- 2 1.49050- 4 3.00000+ 1 3.50000+ 1 7.78470- 2 2.64870- 4 3.00000+ 1 3.60000+ 1 4.50680- 3 2.66560- 4 3.00000+ 1 4.10000+ 1 2.69425- 3 2.16610- 4 3.00000+ 1 4.30000+ 1 1.77758- 3 2.38390- 4 3.00000+ 1 4.40000+ 1 1.20724- 3 2.51890- 4 3.00000+ 1 5.80000+ 1 1.71456- 4 2.73120- 4 3.20000+ 1 3.20000+ 1 6.27384- 3 2.43240- 4 3.20000+ 1 3.30000+ 1 1.42076- 2 2.55280- 4 3.20000+ 1 3.50000+ 1 6.94275- 2 3.71100- 4 3.20000+ 1 3.60000+ 1 8.92970- 3 3.72790- 4 3.20000+ 1 4.10000+ 1 8.57269- 4 3.22840- 4 3.20000+ 1 4.30000+ 1 4.08345- 3 3.44620- 4 3.20000+ 1 4.40000+ 1 2.76778- 3 3.58120- 4 3.20000+ 1 5.80000+ 1 7.34794- 5 3.79350- 4 3.30000+ 1 3.30000+ 1 3.59358- 3 2.67320- 4 3.30000+ 1 3.50000+ 1 1.01662- 1 3.83140- 4 3.30000+ 1 3.60000+ 1 2.85184- 3 3.84830- 4 3.30000+ 1 4.10000+ 1 8.81797- 4 3.34880- 4 3.30000+ 1 4.30000+ 1 2.96032- 3 3.56660- 4 3.30000+ 1 4.40000+ 1 1.57463- 3 3.70160- 4 3.30000+ 1 5.80000+ 1 6.64848- 5 3.91390- 4 3.50000+ 1 3.50000+ 1 2.66823- 2 4.98960- 4 3.50000+ 1 3.60000+ 1 4.79538- 2 5.00650- 4 3.50000+ 1 4.10000+ 1 8.73556- 3 4.50700- 4 3.50000+ 1 4.30000+ 1 7.62225- 3 4.72480- 4 3.50000+ 1 4.40000+ 1 1.02270- 2 4.85980- 4 3.50000+ 1 5.80000+ 1 6.89741- 4 5.07210- 4 3.60000+ 1 3.60000+ 1 4.62818- 4 5.02340- 4 3.60000+ 1 4.10000+ 1 2.67934- 4 4.52390- 4 3.60000+ 1 4.30000+ 1 8.69960- 4 4.74170- 4 3.60000+ 1 4.40000+ 1 3.27100- 4 4.87670- 4 3.60000+ 1 5.80000+ 1 1.73987- 5 5.08900- 4 4.10000+ 1 4.10000+ 1 3.14936- 5 4.02440- 4 4.10000+ 1 4.30000+ 1 2.83439- 4 4.24220- 4 4.10000+ 1 4.40000+ 1 1.85461- 4 4.37720- 4 4.10000+ 1 5.80000+ 1 3.49919- 6 4.58950- 4 4.30000+ 1 4.30000+ 1 9.79790- 5 4.46000- 4 4.30000+ 1 4.40000+ 1 1.32978- 4 4.59500- 4 4.30000+ 1 5.80000+ 1 2.09945- 5 4.80730- 4 4.40000+ 1 4.40000+ 1 2.48388- 5 4.73000- 4 4.40000+ 1 5.80000+ 1 1.24194- 5 4.94230- 4 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 1.83571- 4 3.81920- 4 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 3.50000+ 1 9.32614- 3 9.68700- 5 2.70000+ 1 3.60000+ 1 6.44115- 2 9.85600- 5 2.70000+ 1 4.10000+ 1 1.06617- 3 4.86100- 5 2.70000+ 1 4.30000+ 1 2.21259- 3 7.03900- 5 2.70000+ 1 4.40000+ 1 1.88380- 3 8.38900- 5 2.70000+ 1 5.80000+ 1 6.32139- 5 1.05120- 4 2.90000+ 1 3.20000+ 1 3.67748- 3 4.06200- 5 2.90000+ 1 3.30000+ 1 7.35067- 3 5.26600- 5 2.90000+ 1 3.50000+ 1 7.51448- 4 1.68480- 4 2.90000+ 1 3.60000+ 1 5.67650- 2 1.70170- 4 2.90000+ 1 4.10000+ 1 2.29627- 3 1.20220- 4 2.90000+ 1 4.30000+ 1 5.20547- 4 1.42000- 4 2.90000+ 1 4.40000+ 1 7.13667- 4 1.55500- 4 2.90000+ 1 5.80000+ 1 1.55328- 4 1.76730- 4 3.00000+ 1 3.00000+ 1 3.73271- 2 1.50300- 5 3.00000+ 1 3.20000+ 1 9.72579- 2 1.21260- 4 3.00000+ 1 3.30000+ 1 1.94357- 1 1.33300- 4 3.00000+ 1 3.50000+ 1 1.57789- 2 2.49120- 4 3.00000+ 1 3.60000+ 1 1.04197- 1 2.50810- 4 3.00000+ 1 4.10000+ 1 6.51522- 3 2.00860- 4 3.00000+ 1 4.30000+ 1 2.25048- 3 2.22640- 4 3.00000+ 1 4.40000+ 1 5.13306- 3 2.36140- 4 3.00000+ 1 5.80000+ 1 4.55154- 4 2.57370- 4 3.20000+ 1 3.20000+ 1 1.65620- 3 2.27490- 4 3.20000+ 1 3.30000+ 1 1.77196- 2 2.39530- 4 3.20000+ 1 3.50000+ 1 2.17032- 3 3.55350- 4 3.20000+ 1 3.60000+ 1 8.74216- 2 3.57040- 4 3.20000+ 1 4.10000+ 1 8.93399- 4 3.07090- 4 3.20000+ 1 4.30000+ 1 8.80744- 4 3.28870- 4 3.20000+ 1 4.40000+ 1 2.86137- 3 3.42370- 4 3.20000+ 1 5.80000+ 1 6.74257- 5 3.63600- 4 3.30000+ 1 3.30000+ 1 1.09106- 2 2.51570- 4 3.30000+ 1 3.50000+ 1 9.97102- 3 3.67390- 4 3.30000+ 1 3.60000+ 1 1.17183- 1 3.69080- 4 3.30000+ 1 4.10000+ 1 1.24321- 3 3.19130- 4 3.30000+ 1 4.30000+ 1 1.50872- 3 3.40910- 4 3.30000+ 1 4.40000+ 1 5.99280- 3 3.54410- 4 3.30000+ 1 5.80000+ 1 1.01138- 4 3.75640- 4 3.50000+ 1 3.50000+ 1 3.94694- 4 4.83210- 4 3.50000+ 1 3.60000+ 1 4.61974- 2 4.84900- 4 3.50000+ 1 4.10000+ 1 3.09826- 4 4.34950- 4 3.50000+ 1 4.30000+ 1 7.21492- 5 4.56730- 4 3.50000+ 1 4.40000+ 1 1.07802- 3 4.70230- 4 3.50000+ 1 5.80000+ 1 2.12191- 5 4.91460- 4 3.60000+ 1 3.60000+ 1 4.31596- 2 4.86590- 4 3.60000+ 1 4.10000+ 1 1.04232- 2 4.36640- 4 3.60000+ 1 4.30000+ 1 8.72110- 3 4.58420- 4 3.60000+ 1 4.40000+ 1 1.28073- 2 4.71920- 4 3.60000+ 1 5.80000+ 1 8.21305- 4 4.93150- 4 4.10000+ 1 4.10000+ 1 3.37153- 5 3.86690- 4 4.10000+ 1 4.30000+ 1 1.60148- 4 4.08470- 4 4.10000+ 1 4.40000+ 1 3.28705- 4 4.21970- 4 4.10000+ 1 5.80000+ 1 4.21435- 6 4.43200- 4 4.30000+ 1 4.30000+ 1 1.68569- 5 4.30250- 4 4.30000+ 1 4.40000+ 1 8.85005- 5 4.43750- 4 4.30000+ 1 5.80000+ 1 1.26433- 5 4.64980- 4 4.40000+ 1 4.40000+ 1 9.69301- 5 4.57250- 4 4.40000+ 1 5.80000+ 1 2.10705- 5 4.78480- 4 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.27190- 6 7.16100- 5 3.00000+ 1 2.51440- 5 1.52250- 4 4.30000+ 1 3.31130- 6 3.59860- 4 4.40000+ 1 5.92089- 8 3.73360- 4 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.50000+ 1 5.31928- 2 5.70800- 5 2.90000+ 1 3.60000+ 1 9.12004- 2 5.87700- 5 2.90000+ 1 4.10000+ 1 2.04289- 2 8.82000- 6 2.90000+ 1 4.30000+ 1 1.41250- 2 3.06000- 5 2.90000+ 1 4.40000+ 1 2.40134- 2 4.41000- 5 2.90000+ 1 5.80000+ 1 1.58933- 3 6.53300- 5 3.00000+ 1 3.20000+ 1 1.54718- 1 9.86000- 6 3.00000+ 1 3.30000+ 1 1.40159- 1 2.19000- 5 3.00000+ 1 3.50000+ 1 1.23370- 1 1.37720- 4 3.00000+ 1 3.60000+ 1 1.13740- 1 1.39410- 4 3.00000+ 1 4.10000+ 1 1.69337- 2 8.94600- 5 3.00000+ 1 4.30000+ 1 1.70317- 2 1.11240- 4 3.00000+ 1 4.40000+ 1 1.38159- 2 1.24740- 4 3.00000+ 1 5.80000+ 1 1.31139- 3 1.45970- 4 3.20000+ 1 3.20000+ 1 1.49494- 3 1.16090- 4 3.20000+ 1 3.30000+ 1 1.10978- 1 1.28130- 4 3.20000+ 1 3.50000+ 1 3.37173- 3 2.43950- 4 3.20000+ 1 3.60000+ 1 1.19637- 2 2.45640- 4 3.20000+ 1 4.10000+ 1 5.58023- 3 1.95690- 4 3.20000+ 1 4.30000+ 1 1.15857- 3 2.17470- 4 3.20000+ 1 4.40000+ 1 4.12256- 3 2.30970- 4 3.20000+ 1 5.80000+ 1 3.60551- 4 2.52200- 4 3.30000+ 1 3.30000+ 1 2.64134- 2 1.40170- 4 3.30000+ 1 3.50000+ 1 1.37457- 2 2.55990- 4 3.30000+ 1 3.60000+ 1 9.14657- 3 2.57680- 4 3.30000+ 1 4.10000+ 1 7.83078- 3 2.07730- 4 3.30000+ 1 4.30000+ 1 3.43497- 3 2.29510- 4 3.30000+ 1 4.40000+ 1 2.67744- 3 2.43010- 4 3.30000+ 1 5.80000+ 1 5.04033- 4 2.64240- 4 3.50000+ 1 3.50000+ 1 4.46454- 5 3.71810- 4 3.50000+ 1 3.60000+ 1 1.46458- 3 3.73500- 4 3.50000+ 1 4.10000+ 1 2.42387- 3 3.23550- 4 3.50000+ 1 4.30000+ 1 2.17042- 4 3.45330- 4 3.50000+ 1 4.40000+ 1 6.33626- 4 3.58830- 4 3.50000+ 1 5.80000+ 1 1.44134- 4 3.80060- 4 3.60000+ 1 3.60000+ 1 2.62957- 4 3.75190- 4 3.60000+ 1 4.10000+ 1 2.98774- 3 3.25240- 4 3.60000+ 1 4.30000+ 1 5.21347- 4 3.47020- 4 3.60000+ 1 4.40000+ 1 3.87916- 4 3.60520- 4 3.60000+ 1 5.80000+ 1 1.77535- 4 3.81750- 4 4.10000+ 1 4.10000+ 1 4.57233- 4 2.75290- 4 4.10000+ 1 4.30000+ 1 5.37248- 4 2.97070- 4 4.10000+ 1 4.40000+ 1 7.35652- 4 3.10570- 4 4.10000+ 1 5.80000+ 1 6.33649- 5 3.31800- 4 4.30000+ 1 4.30000+ 1 4.81058- 5 3.18850- 4 4.30000+ 1 4.40000+ 1 2.66950- 4 3.32350- 4 4.30000+ 1 5.80000+ 1 3.12635- 5 3.53580- 4 4.40000+ 1 4.40000+ 1 1.08029- 4 3.45850- 4 4.40000+ 1 5.80000+ 1 4.52207- 5 3.67080- 4 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 8.57299- 5 1.86870- 4 4.10000+ 1 9.69129- 6 2.66470- 4 5.80000+ 1 8.29929- 7 3.22980- 4 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.50000+ 1 2.60721- 2 6.61100- 5 3.00000+ 1 3.60000+ 1 1.53269- 2 6.78000- 5 3.00000+ 1 4.10000+ 1 1.49009- 2 1.78500- 5 3.00000+ 1 4.30000+ 1 9.38181- 3 3.96300- 5 3.00000+ 1 4.40000+ 1 7.59444- 3 5.31300- 5 3.00000+ 1 5.80000+ 1 8.27729- 4 7.43600- 5 3.20000+ 1 3.20000+ 1 8.13889- 2 4.44800- 5 3.20000+ 1 3.30000+ 1 3.32765- 1 5.65200- 5 3.20000+ 1 3.50000+ 1 8.63504- 2 1.72340- 4 3.20000+ 1 3.60000+ 1 1.91955- 1 1.74030- 4 3.20000+ 1 4.10000+ 1 3.48004- 2 1.24080- 4 3.20000+ 1 4.30000+ 1 2.30692- 2 1.45860- 4 3.20000+ 1 4.40000+ 1 3.29765- 2 1.59360- 4 3.20000+ 1 5.80000+ 1 2.81359- 3 1.80590- 4 3.30000+ 1 3.30000+ 1 1.29730- 2 6.85600- 5 3.30000+ 1 3.50000+ 1 4.66164- 2 1.84380- 4 3.30000+ 1 3.60000+ 1 1.06312- 2 1.86070- 4 3.30000+ 1 4.10000+ 1 3.44623- 3 1.36120- 4 3.30000+ 1 4.30000+ 1 1.65777- 2 1.57900- 4 3.30000+ 1 4.40000+ 1 3.33894- 3 1.71400- 4 3.30000+ 1 5.80000+ 1 2.31482- 4 1.92630- 4 3.50000+ 1 3.50000+ 1 2.35729- 3 3.00200- 4 3.50000+ 1 3.60000+ 1 1.58241- 2 3.01890- 4 3.50000+ 1 4.10000+ 1 2.75160- 3 2.51940- 4 3.50000+ 1 4.30000+ 1 5.50129- 3 2.73720- 4 3.50000+ 1 4.40000+ 1 2.66288- 3 2.87220- 4 3.50000+ 1 5.80000+ 1 2.20790- 4 3.08450- 4 3.60000+ 1 3.60000+ 1 7.97487- 4 3.03580- 4 3.60000+ 1 4.10000+ 1 1.02253- 3 2.53630- 4 3.60000+ 1 4.30000+ 1 8.60211- 3 2.75410- 4 3.60000+ 1 4.40000+ 1 8.76214- 4 2.88910- 4 3.60000+ 1 5.80000+ 1 6.76510- 5 3.10140- 4 4.10000+ 1 4.10000+ 1 1.00551- 4 2.03680- 4 4.10000+ 1 4.30000+ 1 1.60406- 3 2.25460- 4 4.10000+ 1 4.40000+ 1 2.68657- 4 2.38960- 4 4.10000+ 1 5.80000+ 1 1.33268- 5 2.60190- 4 4.30000+ 1 4.30000+ 1 9.52784- 4 2.47240- 4 4.30000+ 1 4.40000+ 1 2.00104- 3 2.60740- 4 4.30000+ 1 5.80000+ 1 1.33269- 4 2.81970- 4 4.40000+ 1 4.40000+ 1 9.10059- 5 2.74240- 4 4.40000+ 1 5.80000+ 1 1.72440- 5 2.95470- 4 1 97000 0 7 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.02551- 6 1.06230- 4 3.30000+ 1 1.29341- 5 1.18270- 4 4.10000+ 1 6.24284- 6 1.85830- 4 5.80000+ 1 5.24233- 7 2.42340- 4 1 97000 0 9 2.47000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.50000+ 1 2.73504- 2 9.17000- 5 3.20000+ 1 3.60000+ 1 1.02183- 1 9.33900- 5 3.20000+ 1 4.10000+ 1 8.99352- 3 4.34400- 5 3.20000+ 1 4.30000+ 1 6.36332- 3 6.52200- 5 3.20000+ 1 4.40000+ 1 1.65006- 2 7.87200- 5 3.20000+ 1 5.80000+ 1 5.89699- 4 9.99500- 5 3.30000+ 1 3.50000+ 1 3.46871- 1 1.03740- 4 3.30000+ 1 3.60000+ 1 3.04911- 1 1.05430- 4 3.30000+ 1 4.10000+ 1 4.39923- 2 5.54800- 5 3.30000+ 1 4.30000+ 1 4.48315- 2 7.72600- 5 3.30000+ 1 4.40000+ 1 4.42307- 2 9.07600- 5 3.30000+ 1 5.80000+ 1 3.52740- 3 1.11990- 4 3.50000+ 1 3.50000+ 1 5.09531- 4 2.19560- 4 3.50000+ 1 3.60000+ 1 1.26434- 2 2.21250- 4 3.50000+ 1 4.10000+ 1 2.61348- 3 1.71300- 4 3.50000+ 1 4.30000+ 1 7.68235- 4 1.93080- 4 3.50000+ 1 4.40000+ 1 6.18988- 3 2.06580- 4 3.50000+ 1 5.80000+ 1 9.55799- 5 2.27810- 4 3.60000+ 1 3.60000+ 1 4.72030- 3 2.22940- 4 3.60000+ 1 4.10000+ 1 4.90615- 3 1.72990- 4 3.60000+ 1 4.30000+ 1 3.76878- 3 1.94770- 4 3.60000+ 1 4.40000+ 1 7.45178- 3 2.08270- 4 3.60000+ 1 5.80000+ 1 2.50111- 4 2.29500- 4 4.10000+ 1 4.10000+ 1 3.22369- 4 1.23040- 4 4.10000+ 1 4.30000+ 1 4.71669- 4 1.44820- 4 4.10000+ 1 4.40000+ 1 1.74836- 3 1.58320- 4 4.10000+ 1 5.80000+ 1 4.13164- 5 1.79550- 4 4.30000+ 1 4.30000+ 1 3.64547- 6 1.66600- 4 4.30000+ 1 4.40000+ 1 1.52857- 3 1.80100- 4 4.30000+ 1 5.80000+ 1 1.97894- 5 2.01330- 4 4.40000+ 1 4.40000+ 1 1.45562- 3 1.93600- 4 4.40000+ 1 5.80000+ 1 1.24993- 4 2.14830- 4 1 98000 0 0 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 3.50000+ 1 4.29000+ 0 3.60000+ 1 5.71000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 5.80000+ 1 2.00000+ 0 1 98000 0 0 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.35630- 1 3.00000+ 0 2.60470- 2 5.00000+ 0 2.52420- 2 6.00000+ 0 1.99290- 2 8.00000+ 0 6.73250- 3 1.00000+ 1 6.35090- 3 1.10000+ 1 5.10380- 3 1.30000+ 1 4.49220- 3 1.40000+ 1 4.24810- 3 1.60000+ 1 1.78870- 3 1.80000+ 1 1.60990- 3 1.90000+ 1 1.27290- 3 2.10000+ 1 9.86740- 4 2.20000+ 1 9.26200- 4 2.40000+ 1 5.47730- 4 2.50000+ 1 5.30980- 4 2.70000+ 1 4.11580- 4 2.90000+ 1 3.37870- 4 3.00000+ 1 2.51580- 4 3.20000+ 1 1.42470- 4 3.30000+ 1 1.29660- 4 3.50000+ 1 1.07800- 5 3.60000+ 1 9.02000- 6 4.10000+ 1 6.08800- 5 4.30000+ 1 3.87900- 5 4.40000+ 1 2.51000- 5 5.80000+ 1 5.71000- 6 1 98000 0 0 2.51000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.14200- 1 3.00000+ 0 5.47140- 2 5.00000+ 0 5.48930- 2 6.00000+ 0 3.19450- 2 8.00000+ 0 1.74880- 2 1.00000+ 1 1.73670- 2 1.10000+ 1 1.15040- 2 1.30000+ 1 1.13240- 2 1.40000+ 1 1.03170- 2 1.60000+ 1 6.12470- 3 1.80000+ 1 5.95700- 3 1.90000+ 1 4.13560- 3 2.10000+ 1 3.87600- 3 2.20000+ 1 3.56440- 3 2.40000+ 1 3.19560- 3 2.50000+ 1 3.08860- 3 2.70000+ 1 2.01250- 3 2.90000+ 1 1.87070- 3 3.00000+ 1 1.30900- 3 3.20000+ 1 1.07160- 3 3.30000+ 1 9.80100- 4 3.50000+ 1 5.19080- 4 3.60000+ 1 4.89460- 4 4.10000+ 1 4.74850- 4 4.30000+ 1 3.77830- 4 4.40000+ 1 2.34890- 4 5.80000+ 1 4.52700- 5 1 98000 0 0 2.51000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.55310-11 3.00000+ 0 2.70080-10 5.00000+ 0 2.16210-10 6.00000+ 0 2.74830-10 8.00000+ 0 7.04740-10 1.00000+ 1 6.58400-10 1.10000+ 1 7.63050-10 1.30000+ 1 6.54930-10 1.40000+ 1 6.85050-10 1.60000+ 1 1.52030- 9 1.80000+ 1 1.50330- 9 1.90000+ 1 1.70330- 9 2.10000+ 1 1.67010- 9 2.20000+ 1 1.72770- 9 2.40000+ 1 1.63730- 9 2.50000+ 1 1.66470- 9 2.70000+ 1 3.09890- 9 2.90000+ 1 3.19280- 9 3.00000+ 1 3.61560- 9 3.20000+ 1 3.95810- 9 3.30000+ 1 4.10490- 9 3.50000+ 1 5.85030- 9 3.60000+ 1 6.04340- 9 4.10000+ 1 6.81180- 9 4.30000+ 1 7.56870- 9 4.40000+ 1 8.97050- 9 5.80000+ 1 2.07370- 8 1 98000 0 0 2.51000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.17950- 4 3.00000+ 0 3.39840- 6 5.00000+ 0 5.90010- 6 6.00000+ 0 4.82530- 6 8.00000+ 0 1.64890- 7 1.00000+ 1 1.75510- 7 1.10000+ 1 1.99200- 7 1.30000+ 1 2.75380- 7 1.40000+ 1 2.50760- 7 1.60000+ 1 1.05430- 8 1.80000+ 1 1.28180- 8 1.90000+ 1 8.53350- 9 2.10000+ 1 5.78800- 9 2.20000+ 1 4.40930- 9 2.40000+ 1 2.32040-10 2.50000+ 1 2.05760-10 2.70000+ 1 8.10490-10 2.90000+ 1 1.48350- 9 3.00000+ 1 6.07890-10 1 98000 0 0 2.51000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.43840- 6 3.00000+ 0 1.32890- 5 5.00000+ 0 5.41650- 6 6.00000+ 0 4.72910- 6 8.00000+ 0 2.02690- 5 1.00000+ 1 1.56860- 5 1.10000+ 1 1.18170- 5 1.30000+ 1 4.05540- 6 1.40000+ 1 3.95630- 6 1.60000+ 1 1.49840- 5 1.80000+ 1 1.62310- 5 1.90000+ 1 1.04030- 5 2.10000+ 1 6.70900- 6 2.20000+ 1 6.36370- 6 2.40000+ 1 1.04650- 6 2.50000+ 1 7.11400- 7 2.70000+ 1 3.02810- 5 2.90000+ 1 1.19760- 5 3.00000+ 1 1.78740- 5 1 98000 0 0 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.26139- 4 3.00000+ 0 1.02595- 3 5.00000+ 0 7.63509- 4 6.00000+ 0 7.17277- 4 8.00000+ 0 8.02807- 4 1.00000+ 1 7.18351- 4 1.10000+ 1 6.21634- 4 1.30000+ 1 4.83744- 4 1.40000+ 1 4.67845- 4 1.60000+ 1 4.24524- 4 1.80000+ 1 3.99418- 4 1.90000+ 1 4.08238- 4 2.10000+ 1 3.28616- 4 2.20000+ 1 3.12167- 4 2.40000+ 1 1.88146- 4 2.50000+ 1 1.84608- 4 2.70000+ 1 2.16174- 4 2.90000+ 1 1.98444- 4 3.00000+ 1 1.40844- 4 3.20000+ 1 1.42470- 4 3.30000+ 1 1.29660- 4 3.50000+ 1 1.07800- 5 3.60000+ 1 9.02000- 6 4.10000+ 1 6.08800- 5 4.30000+ 1 3.87900- 5 4.40000+ 1 2.51000- 5 5.80000+ 1 5.71000- 6 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.49237+ 0 3.00000+ 0 6.57216- 1 5.00000+ 0 7.19187- 1 6.00000+ 0 5.86804- 1 8.00000+ 0 6.94556- 2 1.00000+ 1 7.26582- 2 1.10000+ 1 6.49356- 2 1.30000+ 1 7.26186- 2 1.40000+ 1 6.36146- 2 1.60000+ 1 2.29344- 3 1.80000+ 1 2.22841- 3 1.90000+ 1 1.69988- 3 2.10000+ 1 1.20260- 3 2.20000+ 1 9.97228- 4 2.40000+ 1 2.71716- 4 2.50000+ 1 2.39856- 4 2.70000+ 1 6.77842- 5 2.90000+ 1 1.12018- 4 3.00000+ 1 2.37371- 5 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.22542- 1 3.00000+ 0 1.02893- 2 5.00000+ 0 1.34238- 2 6.00000+ 0 8.56070- 3 8.00000+ 0 2.67001- 4 1.00000+ 1 2.83234- 4 1.10000+ 1 2.44401- 4 1.30000+ 1 2.80134- 4 1.40000+ 1 2.33397- 4 1.60000+ 1 1.88067- 6 1.80000+ 1 1.55527- 6 1.90000+ 1 1.17893- 6 2.10000+ 1 6.61070- 7 2.20000+ 1 5.31188- 7 2.40000+ 1 1.02557- 7 2.50000+ 1 9.05083- 8 2.70000+ 1 1.22925- 8 2.90000+ 1 2.27925- 8 3.00000+ 1 3.44200- 9 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.73757+ 0 3.00000+ 0 1.27632+ 1 5.00000+ 0 9.23683+ 0 6.00000+ 0 8.60885+ 0 8.00000+ 0 9.90784+ 0 1.00000+ 1 8.72470+ 0 1.10000+ 1 7.47582+ 0 1.30000+ 1 5.57360+ 0 1.40000+ 1 5.29267+ 0 1.60000+ 1 4.37143+ 0 1.80000+ 1 4.03480+ 0 1.90000+ 1 4.12697+ 0 2.10000+ 1 3.28557+ 0 2.20000+ 1 2.92181+ 0 2.40000+ 1 1.96001+ 0 2.50000+ 1 1.70204+ 0 2.70000+ 1 1.80206+ 0 2.90000+ 1 1.07605+ 0 3.00000+ 1 9.99976- 1 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.23620- 2 3.00000+ 0 1.47317- 2 5.00000+ 0 1.10547- 2 6.00000+ 0 1.06510- 2 8.00000+ 0 5.66269- 3 1.00000+ 1 5.34932- 3 1.10000+ 1 4.23777- 3 1.30000+ 1 3.72832- 3 1.40000+ 1 3.54686- 3 1.60000+ 1 1.36230- 3 1.80000+ 1 1.20893- 3 1.90000+ 1 8.63483- 4 2.10000+ 1 6.57463- 4 2.20000+ 1 6.13502- 4 2.40000+ 1 3.59481- 4 2.50000+ 1 3.46281- 4 2.70000+ 1 1.95394- 4 2.90000+ 1 1.39404- 4 3.00000+ 1 1.10733- 4 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.94949- 1 1.10388- 1 6.00000+ 0 4.56278- 1 1.15701- 1 1.00000+ 1 5.34218- 2 1.29279- 1 1.10000+ 1 1.05560- 1 1.30526- 1 1.30000+ 1 2.13929- 3 1.31138- 1 1.40000+ 1 2.34289- 3 1.31382- 1 1.80000+ 1 1.36199- 2 1.34020- 1 1.90000+ 1 2.82709- 2 1.34357- 1 2.10000+ 1 6.60727- 4 1.34643- 1 2.20000+ 1 7.27877- 4 1.34704- 1 2.90000+ 1 3.47519- 3 1.35292- 1 3.00000+ 1 7.14787- 3 1.35378- 1 3.20000+ 1 1.48289- 4 1.35488- 1 3.30000+ 1 1.61659- 4 1.35500- 1 4.30000+ 1 5.87068- 4 1.35591- 1 4.40000+ 1 1.05010- 3 1.35605- 1 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.58734- 3 8.35360- 2 3.00000+ 0 5.00000+ 0 7.09836- 3 8.43410- 2 3.00000+ 0 6.00000+ 0 2.15472- 3 8.96540- 2 3.00000+ 0 8.00000+ 0 1.50489- 3 1.02851- 1 3.00000+ 0 1.00000+ 1 1.56417- 3 1.03232- 1 3.00000+ 0 1.10000+ 1 5.46857- 4 1.04479- 1 3.00000+ 0 1.30000+ 1 4.80960- 5 1.05091- 1 3.00000+ 0 1.40000+ 1 2.75108- 5 1.05335- 1 3.00000+ 0 1.60000+ 1 4.08284- 4 1.07794- 1 3.00000+ 0 1.80000+ 1 4.18392- 4 1.07973- 1 3.00000+ 0 1.90000+ 1 1.49273- 4 1.08310- 1 3.00000+ 0 2.10000+ 1 1.49907- 5 1.08596- 1 3.00000+ 0 2.20000+ 1 8.43958- 6 1.08657- 1 3.00000+ 0 2.40000+ 1 4.66257- 8 1.09035- 1 3.00000+ 0 2.50000+ 1 4.66257- 8 1.09052- 1 3.00000+ 0 2.70000+ 1 1.10642- 4 1.09171- 1 3.00000+ 0 2.90000+ 1 1.07730- 4 1.09245- 1 3.00000+ 0 3.00000+ 1 3.79323- 5 1.09331- 1 3.00000+ 0 3.20000+ 1 3.35722- 6 1.09441- 1 3.00000+ 0 3.30000+ 1 1.86511- 6 1.09453- 1 5.00000+ 0 5.00000+ 0 2.06474- 4 8.51460- 2 5.00000+ 0 6.00000+ 0 3.33050- 3 9.04590- 2 5.00000+ 0 8.00000+ 0 1.33066- 3 1.03655- 1 5.00000+ 0 1.00000+ 1 8.16240- 5 1.04037- 1 5.00000+ 0 1.10000+ 1 7.26237- 4 1.05284- 1 5.00000+ 0 1.30000+ 1 4.85624- 5 1.05896- 1 5.00000+ 0 1.40000+ 1 1.00325- 4 1.06140- 1 5.00000+ 0 1.60000+ 1 3.51882- 4 1.08599- 1 5.00000+ 0 1.80000+ 1 2.14262- 5 1.08778- 1 5.00000+ 0 1.90000+ 1 1.90666- 4 1.09115- 1 5.00000+ 0 2.10000+ 1 1.43621- 5 1.09401- 1 5.00000+ 0 2.20000+ 1 3.00054- 5 1.09462- 1 5.00000+ 0 2.40000+ 1 4.66272- 7 1.09840- 1 5.00000+ 0 2.50000+ 1 6.76124- 7 1.09857- 1 5.00000+ 0 2.70000+ 1 9.47040- 5 1.09976- 1 5.00000+ 0 2.90000+ 1 5.50203- 6 1.10050- 1 5.00000+ 0 3.00000+ 1 4.79593- 5 1.10136- 1 5.00000+ 0 3.20000+ 1 3.17087- 6 1.10246- 1 5.00000+ 0 3.30000+ 1 6.57468- 6 1.10258- 1 6.00000+ 0 6.00000+ 0 1.30070- 3 9.57720- 2 6.00000+ 0 8.00000+ 0 3.55470- 4 1.08968- 1 6.00000+ 0 1.00000+ 1 6.07125- 4 1.09350- 1 6.00000+ 0 1.10000+ 1 5.83229- 4 1.10597- 1 6.00000+ 0 1.30000+ 1 1.05290- 4 1.11209- 1 6.00000+ 0 1.40000+ 1 8.13670- 5 1.11453- 1 6.00000+ 0 1.60000+ 1 9.10891- 5 1.13912- 1 6.00000+ 0 1.80000+ 1 1.55091- 4 1.14091- 1 6.00000+ 0 1.90000+ 1 1.54321- 4 1.14428- 1 6.00000+ 0 2.10000+ 1 3.16608- 5 1.14714- 1 6.00000+ 0 2.20000+ 1 2.44803- 5 1.14775- 1 6.00000+ 0 2.40000+ 1 6.29483- 7 1.15153- 1 6.00000+ 0 2.50000+ 1 6.76123- 7 1.15170- 1 6.00000+ 0 2.70000+ 1 2.43170- 5 1.15289- 1 6.00000+ 0 2.90000+ 1 3.94476- 5 1.15363- 1 6.00000+ 0 3.00000+ 1 3.88881- 5 1.15449- 1 6.00000+ 0 3.20000+ 1 7.04106- 6 1.15559- 1 6.00000+ 0 3.30000+ 1 5.36245- 6 1.15571- 1 8.00000+ 0 8.00000+ 0 1.56339- 4 1.22165- 1 8.00000+ 0 1.00000+ 1 2.94418- 4 1.22547- 1 8.00000+ 0 1.10000+ 1 9.09769- 5 1.23794- 1 8.00000+ 0 1.30000+ 1 7.74052- 6 1.24405- 1 8.00000+ 0 1.40000+ 1 4.17344- 6 1.24649- 1 8.00000+ 0 1.60000+ 1 8.47022- 5 1.27109- 1 8.00000+ 0 1.80000+ 1 7.88247- 5 1.27288- 1 8.00000+ 0 1.90000+ 1 2.48995- 5 1.27625- 1 8.00000+ 0 2.10000+ 1 2.42475- 6 1.27911- 1 8.00000+ 0 2.20000+ 1 1.28231- 6 1.27971- 1 8.00000+ 0 2.70000+ 1 2.29414- 5 1.28486- 1 8.00000+ 0 2.90000+ 1 2.03073- 5 1.28560- 1 8.00000+ 0 3.00000+ 1 6.34144- 6 1.28646- 1 8.00000+ 0 3.20000+ 1 5.36247- 7 1.28755- 1 8.00000+ 0 3.30000+ 1 2.79775- 7 1.28768- 1 1.00000+ 1 1.00000+ 1 7.36743- 6 1.22928- 1 1.00000+ 1 1.10000+ 1 1.37088- 4 1.24175- 1 1.00000+ 1 1.30000+ 1 8.48635- 6 1.24787- 1 1.00000+ 1 1.40000+ 1 1.34281- 5 1.25031- 1 1.00000+ 1 1.60000+ 1 7.78464- 5 1.27490- 1 1.00000+ 1 1.80000+ 1 3.80008- 6 1.27669- 1 1.00000+ 1 1.90000+ 1 3.62538- 5 1.28006- 1 1.00000+ 1 2.10000+ 1 2.54130- 6 1.28292- 1 1.00000+ 1 2.20000+ 1 4.07991- 6 1.28353- 1 1.00000+ 1 2.40000+ 1 6.99422- 8 1.28731- 1 1.00000+ 1 2.50000+ 1 6.99422- 8 1.28748- 1 1.00000+ 1 2.70000+ 1 2.09363- 5 1.28868- 1 1.00000+ 1 2.90000+ 1 9.55839- 7 1.28941- 1 1.00000+ 1 3.00000+ 1 9.13952- 6 1.29028- 1 1.00000+ 1 3.20000+ 1 5.59547- 7 1.29137- 1 1.00000+ 1 3.30000+ 1 8.85936- 7 1.29149- 1 1.10000+ 1 1.10000+ 1 6.62112- 5 1.25422- 1 1.10000+ 1 1.30000+ 1 1.94437- 5 1.26034- 1 1.10000+ 1 1.40000+ 1 1.43617- 5 1.26278- 1 1.10000+ 1 1.60000+ 1 2.33371- 5 1.28737- 1 1.10000+ 1 1.80000+ 1 3.52956- 5 1.28916- 1 1.10000+ 1 1.90000+ 1 3.51573- 5 1.29253- 1 1.10000+ 1 2.10000+ 1 5.92181- 6 1.29539- 1 1.10000+ 1 2.20000+ 1 4.35979- 6 1.29600- 1 1.10000+ 1 2.40000+ 1 9.32522- 8 1.29978- 1 1.10000+ 1 2.50000+ 1 9.32522- 8 1.29995- 1 1.10000+ 1 2.70000+ 1 6.22492- 6 1.30115- 1 1.10000+ 1 2.90000+ 1 8.99880- 6 1.30188- 1 1.10000+ 1 3.00000+ 1 8.85925- 6 1.30275- 1 1.10000+ 1 3.20000+ 1 1.30557- 6 1.30384- 1 1.10000+ 1 3.30000+ 1 9.55826- 7 1.30397- 1 1.30000+ 1 1.30000+ 1 6.99412- 8 1.26646- 1 1.30000+ 1 1.40000+ 1 1.95841- 6 1.26890- 1 1.30000+ 1 1.60000+ 1 1.98170- 6 1.29349- 1 1.30000+ 1 1.80000+ 1 2.16815- 6 1.29528- 1 1.30000+ 1 1.90000+ 1 4.91924- 6 1.29865- 1 1.30000+ 1 2.10000+ 1 4.66260- 8 1.30151- 1 1.30000+ 1 2.20000+ 1 5.59538- 7 1.30212- 1 1.30000+ 1 2.50000+ 1 2.33141- 8 1.30607- 1 1.30000+ 1 2.70000+ 1 5.36234- 7 1.30726- 1 1.30000+ 1 2.90000+ 1 5.59538- 7 1.30800- 1 1.30000+ 1 3.00000+ 1 1.23569- 6 1.30886- 1 1.30000+ 1 3.30000+ 1 1.16570- 7 1.31008- 1 1.40000+ 1 1.40000+ 1 4.89581- 7 1.27134- 1 1.40000+ 1 1.60000+ 1 1.04910- 6 1.29593- 1 1.40000+ 1 1.80000+ 1 3.19400- 6 1.29772- 1 1.40000+ 1 1.90000+ 1 3.59018- 6 1.30109- 1 1.40000+ 1 2.10000+ 1 5.59522- 7 1.30395- 1 1.40000+ 1 2.20000+ 1 2.79760- 7 1.30456- 1 1.40000+ 1 2.70000+ 1 2.79760- 7 1.30970- 1 1.40000+ 1 2.90000+ 1 7.92654- 7 1.31044- 1 1.40000+ 1 3.00000+ 1 8.85897- 7 1.31130- 1 1.40000+ 1 3.20000+ 1 1.16566- 7 1.31239- 1 1.40000+ 1 3.30000+ 1 6.99391- 8 1.31252- 1 1.60000+ 1 1.60000+ 1 1.14713- 5 1.32053- 1 1.60000+ 1 1.80000+ 1 2.08431- 5 1.32231- 1 1.60000+ 1 1.90000+ 1 6.38830- 6 1.32568- 1 1.60000+ 1 2.10000+ 1 6.29492- 7 1.32855- 1 1.60000+ 1 2.20000+ 1 3.26398- 7 1.32915- 1 1.60000+ 1 2.70000+ 1 6.20185- 6 1.33430- 1 1.60000+ 1 2.90000+ 1 5.36253- 6 1.33503- 1 1.60000+ 1 3.00000+ 1 1.63204- 6 1.33590- 1 1.60000+ 1 3.20000+ 1 1.39889- 7 1.33699- 1 1.60000+ 1 3.30000+ 1 6.99437- 8 1.33712- 1 1.80000+ 1 1.80000+ 1 4.89591- 7 1.32410- 1 1.80000+ 1 1.90000+ 1 9.34842- 6 1.32747- 1 1.80000+ 1 2.10000+ 1 6.52798- 7 1.33033- 1 1.80000+ 1 2.20000+ 1 9.79119- 7 1.33094- 1 1.80000+ 1 2.40000+ 1 2.33139- 8 1.33472- 1 1.80000+ 1 2.50000+ 1 2.33139- 8 1.33489- 1 1.80000+ 1 2.70000+ 1 5.61852- 6 1.33609- 1 1.80000+ 1 2.90000+ 1 2.56453- 7 1.33682- 1 1.80000+ 1 3.00000+ 1 2.35468- 6 1.33769- 1 1.80000+ 1 3.20000+ 1 1.39883- 7 1.33878- 1 1.80000+ 1 3.30000+ 1 2.09826- 7 1.33890- 1 1.90000+ 1 1.90000+ 1 4.66251- 6 1.33084- 1 1.90000+ 1 2.10000+ 1 1.49208- 6 1.33370- 1 1.90000+ 1 2.20000+ 1 1.09569- 6 1.33431- 1 1.90000+ 1 2.40000+ 1 2.33136- 8 1.33809- 1 1.90000+ 1 2.50000+ 1 2.33136- 8 1.33826- 1 1.90000+ 1 2.70000+ 1 1.70192- 6 1.33946- 1 1.90000+ 1 2.90000+ 1 2.37794- 6 1.34019- 1 1.90000+ 1 3.00000+ 1 2.35465- 6 1.34106- 1 1.90000+ 1 3.20000+ 1 3.26379- 7 1.34215- 1 1.90000+ 1 3.30000+ 1 2.33136- 7 1.34227- 1 2.10000+ 1 2.20000+ 1 1.63202- 7 1.33717- 1 2.10000+ 1 2.70000+ 1 1.63202- 7 1.34232- 1 2.10000+ 1 2.90000+ 1 1.63202- 7 1.34305- 1 2.10000+ 1 3.00000+ 1 3.73033- 7 1.34392- 1 2.10000+ 1 3.30000+ 1 4.66272- 8 1.34514- 1 2.20000+ 1 2.20000+ 1 4.66273- 8 1.33778- 1 2.20000+ 1 2.70000+ 1 9.32545- 8 1.34292- 1 2.20000+ 1 2.90000+ 1 2.33147- 7 1.34366- 1 2.20000+ 1 3.00000+ 1 2.79776- 7 1.34452- 1 2.20000+ 1 3.20000+ 1 4.66273- 8 1.34561- 1 2.20000+ 1 3.30000+ 1 2.33147- 8 1.34574- 1 2.70000+ 1 2.70000+ 1 8.23279- 7 1.34807- 1 2.70000+ 1 2.90000+ 1 1.41791- 6 1.34881- 1 2.70000+ 1 3.00000+ 1 4.34493- 7 1.34967- 1 2.70000+ 1 3.20000+ 1 4.57352- 8 1.35076- 1 2.70000+ 1 3.30000+ 1 2.28687- 8 1.35089- 1 2.90000+ 1 2.90000+ 1 2.24149- 8 1.34954- 1 2.90000+ 1 3.00000+ 1 5.82787- 7 1.35041- 1 2.90000+ 1 3.20000+ 1 4.48278- 8 1.35150- 1 2.90000+ 1 3.30000+ 1 4.48278- 8 1.35162- 1 3.00000+ 1 3.00000+ 1 2.88583- 7 1.35127- 1 3.00000+ 1 3.20000+ 1 8.87906- 8 1.35236- 1 3.00000+ 1 3.30000+ 1 6.65949- 8 1.35249- 1 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.34620- 5 8.05000- 4 6.00000+ 0 1.60339- 2 6.11800- 3 1.00000+ 1 7.34028- 2 1.96961- 2 1.10000+ 1 5.32098- 2 2.09432- 2 1.30000+ 1 3.88559- 3 2.15548- 2 1.40000+ 1 5.76288- 3 2.17989- 2 1.80000+ 1 2.02459- 2 2.44371- 2 1.90000+ 1 1.74779- 2 2.47741- 2 2.10000+ 1 7.01308- 4 2.50603- 2 2.20000+ 1 1.13010- 3 2.51208- 2 2.90000+ 1 5.24208- 3 2.57091- 2 3.00000+ 1 4.60699- 3 2.57954- 2 3.20000+ 1 1.38060- 4 2.59045- 2 3.30000+ 1 2.24669- 4 2.59173- 2 4.30000+ 1 8.90247- 4 2.60082- 2 4.40000+ 1 6.83138- 4 2.60219- 2 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.40000+ 1 1.18220- 2 2.57270- 4 5.00000+ 0 2.50000+ 1 1.58608- 2 2.74020- 4 5.00000+ 0 2.70000+ 1 5.55215- 3 3.93420- 4 5.00000+ 0 2.90000+ 1 4.72456- 3 4.67130- 4 5.00000+ 0 3.00000+ 1 3.39207- 3 5.53420- 4 5.00000+ 0 3.20000+ 1 9.47731- 4 6.62530- 4 5.00000+ 0 3.30000+ 1 1.14760- 3 6.75340- 4 6.00000+ 0 1.10000+ 1 3.25187- 2 1.01420- 3 6.00000+ 0 1.30000+ 1 1.91198- 1 1.62580- 3 6.00000+ 0 1.40000+ 1 2.24128- 1 1.86990- 3 6.00000+ 0 1.60000+ 1 1.63067- 2 4.32930- 3 6.00000+ 0 1.80000+ 1 6.34843- 3 4.50810- 3 6.00000+ 0 1.90000+ 1 8.46030- 3 4.84510- 3 6.00000+ 0 2.10000+ 1 3.27926- 2 5.13126- 3 6.00000+ 0 2.20000+ 1 3.69116- 2 5.19180- 3 6.00000+ 0 2.40000+ 1 1.75398- 2 5.57027- 3 6.00000+ 0 2.50000+ 1 2.11558- 2 5.58702- 3 6.00000+ 0 2.70000+ 1 4.15555- 3 5.70642- 3 6.00000+ 0 2.90000+ 1 1.62217- 3 5.78013- 3 6.00000+ 0 3.00000+ 1 2.13058- 3 5.86642- 3 6.00000+ 0 3.20000+ 1 6.58042- 3 5.97553- 3 6.00000+ 0 3.30000+ 1 7.24021- 3 5.98834- 3 8.00000+ 0 8.00000+ 0 5.89299- 3 1.25820- 2 8.00000+ 0 1.00000+ 1 1.25748- 2 1.29636- 2 8.00000+ 0 1.10000+ 1 1.61636- 2 1.42107- 2 8.00000+ 0 1.30000+ 1 1.10699- 2 1.48223- 2 8.00000+ 0 1.40000+ 1 1.27728- 2 1.50664- 2 8.00000+ 0 1.60000+ 1 2.73125- 3 1.75258- 2 8.00000+ 0 1.80000+ 1 3.34124- 3 1.77046- 2 8.00000+ 0 1.90000+ 1 4.31551- 3 1.80416- 2 8.00000+ 0 2.10000+ 1 2.84505- 3 1.83278- 2 8.00000+ 0 2.20000+ 1 3.28514- 3 1.83883- 2 8.00000+ 0 2.40000+ 1 2.64155- 4 1.87668- 2 8.00000+ 0 2.50000+ 1 2.63185- 4 1.87835- 2 8.00000+ 0 2.70000+ 1 7.18616- 4 1.89029- 2 8.00000+ 0 2.90000+ 1 8.57254- 4 1.89766- 2 8.00000+ 0 3.00000+ 1 1.08889- 3 1.90629- 2 8.00000+ 0 3.20000+ 1 6.10338- 4 1.91720- 2 8.00000+ 0 3.30000+ 1 6.95967- 4 1.91848- 2 1.00000+ 1 1.00000+ 1 1.01096- 5 1.33452- 2 1.00000+ 1 1.10000+ 1 2.35128- 4 1.45923- 2 1.00000+ 1 1.30000+ 1 8.14952- 4 1.52039- 2 1.00000+ 1 1.40000+ 1 5.26495- 3 1.54480- 2 1.00000+ 1 1.60000+ 1 2.32250- 3 1.79074- 2 1.00000+ 1 1.80000+ 1 1.30445- 6 1.80862- 2 1.00000+ 1 1.90000+ 1 5.00577- 5 1.84232- 2 1.00000+ 1 2.10000+ 1 1.71862- 4 1.87094- 2 1.00000+ 1 2.20000+ 1 8.85900- 4 1.87699- 2 1.00000+ 1 2.40000+ 1 1.03546- 4 1.91484- 2 1.00000+ 1 2.50000+ 1 3.52364- 4 1.91651- 2 1.00000+ 1 2.70000+ 1 5.73144- 4 1.92845- 2 1.00000+ 1 2.90000+ 1 3.26106- 7 1.93582- 2 1.00000+ 1 3.00000+ 1 1.19035- 5 1.94445- 2 1.00000+ 1 3.20000+ 1 3.57094- 5 1.95536- 2 1.00000+ 1 3.30000+ 1 1.71212- 4 1.95664- 2 1.10000+ 1 1.10000+ 1 8.52472- 4 1.58394- 2 1.10000+ 1 1.30000+ 1 1.40486- 3 1.64510- 2 1.10000+ 1 1.40000+ 1 8.99380- 4 1.66951- 2 1.10000+ 1 1.60000+ 1 2.85744- 3 1.91545- 2 1.10000+ 1 1.80000+ 1 6.50606- 5 1.93333- 2 1.10000+ 1 1.90000+ 1 3.61182- 4 1.96703- 2 1.10000+ 1 2.10000+ 1 1.93056- 4 1.99565- 2 1.10000+ 1 2.20000+ 1 9.27809- 5 2.00170- 2 1.10000+ 1 2.40000+ 1 8.87041- 5 2.03955- 2 1.10000+ 1 2.50000+ 1 8.08832- 5 2.04122- 2 1.10000+ 1 2.70000+ 1 6.97105- 4 2.05316- 2 1.10000+ 1 2.90000+ 1 1.67946- 5 2.06053- 2 1.10000+ 1 3.00000+ 1 8.64262- 5 2.06916- 2 1.10000+ 1 3.20000+ 1 3.66882- 5 2.08007- 2 1.10000+ 1 3.30000+ 1 1.61436- 5 2.08135- 2 1.30000+ 1 1.30000+ 1 6.02009- 4 1.70626- 2 1.30000+ 1 1.40000+ 1 1.59126- 2 1.73067- 2 1.30000+ 1 1.60000+ 1 1.73986- 3 1.97661- 2 1.30000+ 1 1.80000+ 1 2.47525- 4 1.99449- 2 1.30000+ 1 1.90000+ 1 3.76503- 4 2.02819- 2 1.30000+ 1 2.10000+ 1 3.01164- 4 2.05681- 2 1.30000+ 1 2.20000+ 1 2.87034- 3 2.06286- 2 1.30000+ 1 2.40000+ 1 2.46055- 4 2.10071- 2 1.30000+ 1 2.50000+ 1 6.59226- 4 2.10238- 2 1.30000+ 1 2.70000+ 1 4.12212- 4 2.11432- 2 1.30000+ 1 2.90000+ 1 6.55517- 5 2.12169- 2 1.30000+ 1 3.00000+ 1 9.65321- 5 2.13032- 2 1.30000+ 1 3.20000+ 1 6.44067- 5 2.14123- 2 1.30000+ 1 3.30000+ 1 5.60919- 4 2.14251- 2 1.40000+ 1 1.40000+ 1 4.27287- 3 1.75508- 2 1.40000+ 1 1.60000+ 1 2.03549- 3 2.00102- 2 1.40000+ 1 1.80000+ 1 1.22300- 3 2.01890- 2 1.40000+ 1 1.90000+ 1 2.20299- 4 2.05260- 2 1.40000+ 1 2.10000+ 1 2.72109- 3 2.08122- 2 1.40000+ 1 2.20000+ 1 1.62299- 3 2.08727- 2 1.40000+ 1 2.40000+ 1 7.19406- 4 2.12512- 2 1.40000+ 1 2.50000+ 1 5.24407- 4 2.12679- 2 1.40000+ 1 2.70000+ 1 4.86078- 4 2.13873- 2 1.40000+ 1 2.90000+ 1 3.04759- 4 2.14610- 2 1.40000+ 1 3.00000+ 1 5.59308- 5 2.15473- 2 1.40000+ 1 3.20000+ 1 5.32068- 4 2.16564- 2 1.40000+ 1 3.30000+ 1 3.21559- 4 2.16692- 2 1.60000+ 1 1.60000+ 1 2.99371- 4 2.24696- 2 1.60000+ 1 1.80000+ 1 6.18470- 4 2.26484- 2 1.60000+ 1 1.90000+ 1 7.68166- 4 2.29854- 2 1.60000+ 1 2.10000+ 1 4.52325- 4 2.32716- 2 1.60000+ 1 2.20000+ 1 5.25533- 4 2.33321- 2 1.60000+ 1 2.40000+ 1 3.53829- 5 2.37106- 2 1.60000+ 1 2.50000+ 1 3.29379- 5 2.37273- 2 1.60000+ 1 2.70000+ 1 1.55394- 4 2.38467- 2 1.60000+ 1 2.90000+ 1 1.58654- 4 2.39204- 2 1.60000+ 1 3.00000+ 1 1.94044- 4 2.40067- 2 1.60000+ 1 3.20000+ 1 9.73429- 5 2.41158- 2 1.60000+ 1 3.30000+ 1 1.11367- 4 2.41286- 2 1.80000+ 1 1.90000+ 1 1.36968- 5 2.31642- 2 1.80000+ 1 2.10000+ 1 4.82663- 5 2.34504- 2 1.80000+ 1 2.20000+ 1 2.15077- 4 2.35109- 2 1.80000+ 1 2.40000+ 1 1.51647- 5 2.38894- 2 1.80000+ 1 2.50000+ 1 5.83762- 5 2.39061- 2 1.80000+ 1 2.70000+ 1 1.52627- 4 2.40255- 2 1.80000+ 1 3.00000+ 1 3.26116- 6 2.41855- 2 1.80000+ 1 3.20000+ 1 9.78305- 6 2.42946- 2 1.80000+ 1 3.30000+ 1 4.19064- 5 2.43074- 2 1.90000+ 1 1.90000+ 1 3.68516- 5 2.35012- 2 1.90000+ 1 2.10000+ 1 4.81035- 5 2.37874- 2 1.90000+ 1 2.20000+ 1 2.13608- 5 2.38479- 2 1.90000+ 1 2.40000+ 1 2.31548- 5 2.42264- 2 1.90000+ 1 2.50000+ 1 1.98938- 5 2.42431- 2 1.90000+ 1 2.70000+ 1 1.87518- 4 2.43625- 2 1.90000+ 1 2.90000+ 1 3.58736- 6 2.44362- 2 1.90000+ 1 3.00000+ 1 1.74468- 5 2.45225- 2 1.90000+ 1 3.20000+ 1 8.80521- 6 2.46316- 2 1.90000+ 1 3.30000+ 1 3.58736- 6 2.46444- 2 2.10000+ 1 2.10000+ 1 3.47314- 5 2.40735- 2 2.10000+ 1 2.20000+ 1 5.36631- 4 2.41341- 2 2.10000+ 1 2.40000+ 1 4.30472- 5 2.45125- 2 2.10000+ 1 2.50000+ 1 8.64266- 5 2.45293- 2 2.10000+ 1 2.70000+ 1 1.07459- 4 2.46487- 2 2.10000+ 1 2.90000+ 1 1.25549- 5 2.47224- 2 2.10000+ 1 3.00000+ 1 1.23929- 5 2.48087- 2 2.10000+ 1 3.20000+ 1 1.46757- 5 2.49178- 2 2.10000+ 1 3.30000+ 1 1.06809- 4 2.49306- 2 2.20000+ 1 2.20000+ 1 1.65176- 4 2.41946- 2 2.20000+ 1 2.40000+ 1 1.02398- 4 2.45731- 2 2.20000+ 1 2.50000+ 1 8.20221- 5 2.45898- 2 2.20000+ 1 2.70000+ 1 1.25388- 4 2.47092- 2 2.20000+ 1 2.90000+ 1 5.41357- 5 2.47829- 2 2.20000+ 1 3.00000+ 1 5.54397- 6 2.48692- 2 2.20000+ 1 3.20000+ 1 1.06968- 4 2.49783- 2 2.20000+ 1 3.30000+ 1 6.63664- 5 2.49911- 2 2.40000+ 1 2.40000+ 1 1.30448- 6 2.49515- 2 2.40000+ 1 2.50000+ 1 2.28285- 5 2.49683- 2 2.40000+ 1 2.70000+ 1 8.15280- 6 2.50877- 2 2.40000+ 1 2.90000+ 1 3.42422- 6 2.51614- 2 2.40000+ 1 3.00000+ 1 5.70697- 6 2.52477- 2 2.40000+ 1 3.20000+ 1 8.47930- 6 2.53568- 2 2.40000+ 1 3.30000+ 1 1.89145- 5 2.53696- 2 2.50000+ 1 2.50000+ 1 4.72875- 6 2.49850- 2 2.50000+ 1 2.70000+ 1 7.50082- 6 2.51044- 2 2.50000+ 1 2.90000+ 1 1.33719- 5 2.51781- 2 2.50000+ 1 3.00000+ 1 4.89185- 6 2.52644- 2 2.50000+ 1 3.20000+ 1 1.59798- 5 2.53735- 2 2.50000+ 1 3.30000+ 1 1.56538- 5 2.53864- 2 2.70000+ 1 2.70000+ 1 2.00560- 5 2.52238- 2 2.70000+ 1 2.90000+ 1 3.91332- 5 2.52975- 2 2.70000+ 1 3.00000+ 1 4.74487- 5 2.53838- 2 2.70000+ 1 3.20000+ 1 2.31539- 5 2.54929- 2 2.70000+ 1 3.30000+ 1 2.65777- 5 2.55058- 2 2.90000+ 1 3.00000+ 1 8.15277- 7 2.54575- 2 2.90000+ 1 3.20000+ 1 2.60892- 6 2.55667- 2 2.90000+ 1 3.30000+ 1 1.05988- 5 2.55795- 2 3.00000+ 1 3.00000+ 1 2.21138- 6 2.55438- 2 3.00000+ 1 3.20000+ 1 2.38152- 6 2.56529- 2 3.00000+ 1 3.30000+ 1 1.02058- 6 2.56658- 2 3.20000+ 1 3.20000+ 1 1.46755- 6 2.57621- 2 3.20000+ 1 3.30000+ 1 2.13604- 5 2.57749- 2 3.30000+ 1 3.30000+ 1 6.68528- 6 2.57877- 2 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 7.53862- 5 5.31300- 3 8.00000+ 0 1.15120- 2 1.85095- 2 1.10000+ 1 6.63581- 4 2.01382- 2 1.30000+ 1 3.96711- 1 2.07498- 2 1.60000+ 1 3.20031- 3 2.34533- 2 1.90000+ 1 2.10050- 4 2.39691- 2 2.10000+ 1 9.48122- 2 2.42553- 2 2.40000+ 1 6.96022- 4 2.46943- 2 2.70000+ 1 8.70752- 4 2.48304- 2 3.00000+ 1 5.49601- 5 2.49904- 2 3.20000+ 1 2.01020- 2 2.50995- 2 3.50000+ 1 6.52951- 5 2.52312- 2 4.10000+ 1 1.75450- 4 2.51811- 2 4.40000+ 1 8.14072- 6 2.52169- 2 5.80000+ 1 1.45760- 5 2.52363- 2 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.10000+ 1 2.13643- 2 2.09200- 4 6.00000+ 0 1.30000+ 1 8.79184- 2 8.20800- 4 6.00000+ 0 1.40000+ 1 2.84657- 2 1.06490- 3 6.00000+ 0 1.60000+ 1 2.55835- 3 3.52430- 3 6.00000+ 0 1.80000+ 1 2.31960- 2 3.70310- 3 6.00000+ 0 1.90000+ 1 4.75026- 3 4.04010- 3 6.00000+ 0 2.10000+ 1 1.81309- 2 4.32626- 3 6.00000+ 0 2.20000+ 1 6.09302- 3 4.38680- 3 6.00000+ 0 2.40000+ 1 9.75656- 4 4.76527- 3 6.00000+ 0 2.50000+ 1 1.35811- 3 4.78202- 3 6.00000+ 0 2.70000+ 1 6.36993- 4 4.90142- 3 6.00000+ 0 2.90000+ 1 5.36793- 3 4.97513- 3 6.00000+ 0 3.00000+ 1 1.15989- 3 5.06142- 3 6.00000+ 0 3.20000+ 1 3.71352- 3 5.17053- 3 6.00000+ 0 3.30000+ 1 1.25147- 3 5.18334- 3 8.00000+ 0 8.00000+ 0 3.01342- 4 1.17770- 2 8.00000+ 0 1.00000+ 1 1.42137- 2 1.21586- 2 8.00000+ 0 1.10000+ 1 1.17721- 3 1.34057- 2 8.00000+ 0 1.30000+ 1 2.90984- 3 1.40173- 2 8.00000+ 0 1.40000+ 1 7.75377- 4 1.42614- 2 8.00000+ 0 1.60000+ 1 1.23702- 4 1.67208- 2 8.00000+ 0 1.80000+ 1 2.50514- 3 1.68996- 2 8.00000+ 0 1.90000+ 1 2.84078- 4 1.72366- 2 8.00000+ 0 2.10000+ 1 5.39294- 4 1.75228- 2 8.00000+ 0 2.20000+ 1 1.21823- 4 1.75833- 2 8.00000+ 0 2.40000+ 1 5.10904- 5 1.79618- 2 8.00000+ 0 2.50000+ 1 3.92651- 5 1.79785- 2 8.00000+ 0 2.70000+ 1 3.14593- 5 1.80979- 2 8.00000+ 0 2.90000+ 1 5.84210- 4 1.81716- 2 8.00000+ 0 3.00000+ 1 7.00131- 5 1.82579- 2 8.00000+ 0 3.20000+ 1 1.08091- 4 1.83670- 2 8.00000+ 0 3.30000+ 1 2.34174- 5 1.83798- 2 1.00000+ 1 1.00000+ 1 1.54801- 2 1.25402- 2 1.00000+ 1 1.10000+ 1 3.16987- 2 1.37873- 2 1.00000+ 1 1.30000+ 1 1.57477- 2 1.43989- 2 1.00000+ 1 1.40000+ 1 1.83445- 2 1.46430- 2 1.00000+ 1 1.60000+ 1 3.95278- 3 1.71024- 2 1.00000+ 1 1.80000+ 1 6.91628- 3 1.72812- 2 1.00000+ 1 1.90000+ 1 8.29765- 3 1.76182- 2 1.00000+ 1 2.10000+ 1 4.02183- 3 1.79044- 2 1.00000+ 1 2.20000+ 1 4.73539- 3 1.79649- 2 1.00000+ 1 2.40000+ 1 3.13387- 4 1.83434- 2 1.00000+ 1 2.50000+ 1 2.38176- 4 1.83601- 2 1.00000+ 1 2.70000+ 1 1.07613- 3 1.84795- 2 1.00000+ 1 2.90000+ 1 1.71582- 3 1.85532- 2 1.00000+ 1 3.00000+ 1 2.08450- 3 1.86395- 2 1.00000+ 1 3.20000+ 1 8.62855- 4 1.87486- 2 1.00000+ 1 3.30000+ 1 1.00453- 3 1.87614- 2 1.10000+ 1 1.10000+ 1 5.81135- 4 1.50344- 2 1.10000+ 1 1.30000+ 1 1.05588- 2 1.56460- 2 1.10000+ 1 1.40000+ 1 1.70514- 3 1.58901- 2 1.10000+ 1 1.60000+ 1 2.70584- 4 1.83495- 2 1.10000+ 1 1.80000+ 1 5.55480- 3 1.85283- 2 1.10000+ 1 1.90000+ 1 2.64681- 4 1.88653- 2 1.10000+ 1 2.10000+ 1 2.33529- 3 1.91515- 2 1.10000+ 1 2.20000+ 1 3.68982- 4 1.92120- 2 1.10000+ 1 2.40000+ 1 8.51481- 5 1.95905- 2 1.10000+ 1 2.50000+ 1 4.09195- 5 1.96072- 2 1.10000+ 1 2.70000+ 1 7.02462- 5 1.97266- 2 1.10000+ 1 2.90000+ 1 1.29207- 3 1.98003- 2 1.10000+ 1 3.00000+ 1 6.43333- 5 1.98866- 2 1.10000+ 1 3.20000+ 1 4.84428- 4 1.99957- 2 1.10000+ 1 3.30000+ 1 7.54539- 5 2.00085- 2 1.30000+ 1 1.30000+ 1 9.97183- 3 1.62576- 2 1.30000+ 1 1.40000+ 1 3.74036- 2 1.65017- 2 1.30000+ 1 1.60000+ 1 8.12466- 4 1.89611- 2 1.30000+ 1 1.80000+ 1 2.64422- 3 1.91399- 2 1.30000+ 1 1.90000+ 1 2.51791- 3 1.94769- 2 1.30000+ 1 2.10000+ 1 4.24205- 3 1.97631- 2 1.30000+ 1 2.20000+ 1 8.60539- 3 1.98236- 2 1.30000+ 1 2.40000+ 1 9.19395- 4 2.02021- 2 1.30000+ 1 2.50000+ 1 1.80186- 3 2.02188- 2 1.30000+ 1 2.70000+ 1 2.22103- 4 2.03382- 2 1.30000+ 1 2.90000+ 1 6.15232- 4 2.04119- 2 1.30000+ 1 3.00000+ 1 6.18763- 4 2.04982- 2 1.30000+ 1 3.20000+ 1 8.78049- 4 2.06073- 2 1.30000+ 1 3.30000+ 1 1.78032- 3 2.06201- 2 1.40000+ 1 1.40000+ 1 1.83299- 3 1.67458- 2 1.40000+ 1 1.60000+ 1 1.74081- 4 1.92052- 2 1.40000+ 1 1.80000+ 1 2.66488- 3 1.93840- 2 1.40000+ 1 1.90000+ 1 3.76788- 4 1.97210- 2 1.40000+ 1 2.10000+ 1 6.54056- 3 2.00072- 2 1.40000+ 1 2.20000+ 1 7.72236- 4 2.00677- 2 1.40000+ 1 2.40000+ 1 3.65672- 4 2.04462- 2 1.40000+ 1 2.50000+ 1 1.38127- 4 2.04629- 2 1.40000+ 1 2.70000+ 1 4.51753- 5 2.05823- 2 1.40000+ 1 2.90000+ 1 5.91770- 4 2.06560- 2 1.40000+ 1 3.00000+ 1 9.10608- 5 2.07423- 2 1.40000+ 1 3.20000+ 1 1.29018- 3 2.08514- 2 1.40000+ 1 3.30000+ 1 1.57517- 4 2.08642- 2 1.60000+ 1 1.60000+ 1 1.20618- 5 2.16646- 2 1.60000+ 1 1.80000+ 1 6.99395- 4 2.18434- 2 1.60000+ 1 1.90000+ 1 6.55189- 5 2.21804- 2 1.60000+ 1 2.10000+ 1 1.47828- 4 2.24666- 2 1.60000+ 1 2.20000+ 1 2.69636- 5 2.25271- 2 1.60000+ 1 2.40000+ 1 1.20618- 5 2.29056- 2 1.60000+ 1 2.50000+ 1 7.56882- 6 2.29223- 2 1.60000+ 1 2.70000+ 1 6.14976- 6 2.30417- 2 1.60000+ 1 2.90000+ 1 1.63203- 4 2.31154- 2 1.60000+ 1 3.00000+ 1 1.60832- 5 2.32017- 2 1.60000+ 1 3.20000+ 1 2.95654- 5 2.33108- 2 1.60000+ 1 3.30000+ 1 5.20347- 6 2.33236- 2 1.80000+ 1 1.80000+ 1 7.34683- 4 2.20222- 2 1.80000+ 1 1.90000+ 1 1.45943- 3 2.23592- 2 1.80000+ 1 2.10000+ 1 6.65852- 4 2.26454- 2 1.80000+ 1 2.20000+ 1 6.96357- 4 2.27059- 2 1.80000+ 1 2.40000+ 1 4.35222- 5 2.30844- 2 1.80000+ 1 2.50000+ 1 2.45986- 5 2.31011- 2 1.80000+ 1 2.70000+ 1 1.90643- 4 2.32205- 2 1.80000+ 1 2.90000+ 1 3.60470- 4 2.32942- 2 1.80000+ 1 3.00000+ 1 3.66864- 4 2.33805- 2 1.80000+ 1 3.20000+ 1 1.42628- 4 2.34896- 2 1.80000+ 1 3.30000+ 1 1.48069- 4 2.35024- 2 1.90000+ 1 1.90000+ 1 3.00407- 5 2.26962- 2 1.90000+ 1 2.10000+ 1 5.60598- 4 2.29824- 2 1.90000+ 1 2.20000+ 1 8.20788- 5 2.30429- 2 1.90000+ 1 2.40000+ 1 1.91604- 5 2.34214- 2 1.90000+ 1 2.50000+ 1 8.27891- 6 2.34381- 2 1.90000+ 1 2.70000+ 1 1.70306- 5 2.35575- 2 1.90000+ 1 2.90000+ 1 3.39678- 4 2.36312- 2 1.90000+ 1 3.00000+ 1 1.46657- 5 2.37175- 2 1.90000+ 1 3.20000+ 1 1.16377- 4 2.38266- 2 1.90000+ 1 3.30000+ 1 1.67945- 5 2.38394- 2 2.10000+ 1 2.10000+ 1 4.50347- 4 2.32685- 2 2.10000+ 1 2.20000+ 1 1.56959- 3 2.33291- 2 2.10000+ 1 2.40000+ 1 1.35769- 4 2.37075- 2 2.10000+ 1 2.50000+ 1 2.66100- 4 2.37243- 2 2.10000+ 1 2.70000+ 1 4.02095- 5 2.38437- 2 2.10000+ 1 2.90000+ 1 1.53979- 4 2.39174- 2 2.10000+ 1 3.00000+ 1 1.37894- 4 2.40037- 2 2.10000+ 1 3.20000+ 1 1.86155- 4 2.41128- 2 2.10000+ 1 3.30000+ 1 3.27365- 4 2.41256- 2 2.20000+ 1 2.20000+ 1 8.23110- 5 2.33896- 2 2.20000+ 1 2.40000+ 1 5.88967- 5 2.37681- 2 2.20000+ 1 2.50000+ 1 2.27071- 5 2.37848- 2 2.20000+ 1 2.70000+ 1 6.85951- 6 2.39042- 2 2.20000+ 1 2.90000+ 1 1.55161- 4 2.39779- 2 2.20000+ 1 3.00000+ 1 1.98690- 5 2.40642- 2 2.20000+ 1 3.20000+ 1 3.12220- 4 2.41733- 2 2.20000+ 1 3.30000+ 1 3.35868- 5 2.41861- 2 2.40000+ 1 2.40000+ 1 3.54791- 6 2.41465- 2 2.40000+ 1 2.50000+ 1 2.36531- 5 2.41633- 2 2.40000+ 1 2.70000+ 1 3.07485- 6 2.42827- 2 2.40000+ 1 2.90000+ 1 9.69712- 6 2.43564- 2 2.40000+ 1 3.00000+ 1 4.73043- 6 2.44427- 2 2.40000+ 1 3.20000+ 1 2.57818- 5 2.45518- 2 2.40000+ 1 3.30000+ 1 1.13529- 5 2.45646- 2 2.50000+ 1 2.50000+ 1 1.41908- 6 2.41800- 2 2.50000+ 1 2.70000+ 1 1.89225- 6 2.42994- 2 2.50000+ 1 2.90000+ 1 4.96720- 6 2.43731- 2 2.50000+ 1 3.00000+ 1 1.89225- 6 2.44594- 2 2.50000+ 1 3.20000+ 1 5.06183- 5 2.45685- 2 2.50000+ 1 3.30000+ 1 4.49404- 6 2.45814- 2 2.70000+ 1 2.70000+ 1 7.09589- 7 2.44188- 2 2.70000+ 1 2.90000+ 1 4.44676- 5 2.44925- 2 2.70000+ 1 3.00000+ 1 4.25749- 6 2.45788- 2 2.70000+ 1 3.20000+ 1 8.04230- 6 2.46879- 2 2.70000+ 1 3.30000+ 1 1.41910- 6 2.47008- 2 2.90000+ 1 2.90000+ 1 4.39959- 5 2.45663- 2 2.90000+ 1 3.00000+ 1 8.53907- 5 2.46525- 2 2.90000+ 1 3.20000+ 1 3.28788- 5 2.47617- 2 2.90000+ 1 3.30000+ 1 3.31149- 5 2.47745- 2 3.00000+ 1 3.00000+ 1 1.89226- 6 2.47388- 2 3.00000+ 1 3.20000+ 1 2.86198- 5 2.48479- 2 3.00000+ 1 3.30000+ 1 4.02097- 6 2.48608- 2 3.20000+ 1 3.20000+ 1 1.91596- 5 2.49571- 2 3.20000+ 1 3.30000+ 1 6.52806- 5 2.49699- 2 3.30000+ 1 3.30000+ 1 3.50421- 6 2.49827- 2 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 2.57001- 2 1.31965- 2 1.00000+ 1 3.38871- 4 1.35781- 2 1.10000+ 1 3.12231- 4 1.48252- 2 1.30000+ 1 3.82931- 2 1.54368- 2 1.40000+ 1 3.36031- 1 1.56809- 2 1.60000+ 1 6.62511- 3 1.81403- 2 1.80000+ 1 7.31332- 5 1.83191- 2 1.90000+ 1 8.73552- 5 1.86561- 2 2.10000+ 1 7.94452- 3 1.89423- 2 2.20000+ 1 7.34082- 2 1.90028- 2 2.40000+ 1 1.28220- 4 1.93813- 2 2.50000+ 1 7.00761- 4 1.93980- 2 2.70000+ 1 1.77560- 3 1.95174- 2 2.90000+ 1 1.78740- 5 1.95911- 2 3.00000+ 1 2.22240- 5 1.96774- 2 3.20000+ 1 1.63540- 3 1.97865- 2 3.30000+ 1 1.50910- 2 1.97993- 2 3.50000+ 1 1.18440- 5 1.99182- 2 3.60000+ 1 6.28221- 5 1.99200- 2 4.10000+ 1 3.56491- 4 1.98681- 2 4.30000+ 1 2.99671- 6 1.98902- 2 4.40000+ 1 3.27151- 6 1.99039- 2 5.80000+ 1 2.96001- 5 1.99233- 2 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.70558- 4 6.46400- 3 8.00000+ 0 1.00000+ 1 1.15072- 4 6.84560- 3 8.00000+ 0 1.10000+ 1 1.69313- 2 8.09270- 3 8.00000+ 0 1.30000+ 1 3.11269- 3 8.70430- 3 8.00000+ 0 1.40000+ 1 6.78603- 3 8.94840- 3 8.00000+ 0 1.60000+ 1 1.16482- 4 1.14078- 2 8.00000+ 0 1.80000+ 1 1.63972- 5 1.15866- 2 8.00000+ 0 1.90000+ 1 2.89757- 3 1.19236- 2 8.00000+ 0 2.10000+ 1 4.05692- 4 1.22098- 2 8.00000+ 0 2.20000+ 1 8.51559- 4 1.22703- 2 8.00000+ 0 2.40000+ 1 4.05414- 4 1.26488- 2 8.00000+ 0 2.50000+ 1 6.66075- 4 1.26655- 2 8.00000+ 0 2.70000+ 1 2.96845- 5 1.27849- 2 8.00000+ 0 2.90000+ 1 3.67533- 6 1.28586- 2 8.00000+ 0 3.00000+ 1 6.59881- 4 1.29449- 2 8.00000+ 0 3.20000+ 1 7.54861- 5 1.30540- 2 8.00000+ 0 3.30000+ 1 1.53509- 4 1.30668- 2 1.00000+ 1 1.00000+ 1 1.35699- 5 7.22720- 3 1.00000+ 1 1.10000+ 1 2.83361- 2 8.47430- 3 1.00000+ 1 1.30000+ 1 1.22079- 3 9.08590- 3 1.00000+ 1 1.40000+ 1 7.73815- 3 9.33000- 3 1.00000+ 1 1.60000+ 1 2.54444- 5 1.17894- 2 1.00000+ 1 1.80000+ 1 1.32869- 5 1.19682- 2 1.00000+ 1 1.90000+ 1 5.03627- 3 1.23052- 2 1.00000+ 1 2.10000+ 1 2.36069- 4 1.25914- 2 1.00000+ 1 2.20000+ 1 1.26338- 3 1.26519- 2 1.00000+ 1 2.40000+ 1 3.12397- 4 1.30304- 2 1.00000+ 1 2.50000+ 1 7.18095- 4 1.30471- 2 1.00000+ 1 2.70000+ 1 6.78497- 6 1.31665- 2 1.00000+ 1 2.90000+ 1 4.24063- 6 1.32402- 2 1.00000+ 1 3.00000+ 1 1.15626- 3 1.33265- 2 1.00000+ 1 3.20000+ 1 4.97581- 5 1.34356- 2 1.00000+ 1 3.30000+ 1 2.46522- 4 1.34484- 2 1.10000+ 1 1.10000+ 1 3.23091- 2 9.72140- 3 1.10000+ 1 1.30000+ 1 3.38745- 2 1.03330- 2 1.10000+ 1 1.40000+ 1 4.11103- 2 1.05771- 2 1.10000+ 1 1.60000+ 1 4.61472- 3 1.30365- 2 1.10000+ 1 1.80000+ 1 6.92412- 3 1.32153- 2 1.10000+ 1 1.90000+ 1 1.39701- 2 1.35523- 2 1.10000+ 1 2.10000+ 1 8.06552- 3 1.38385- 2 1.10000+ 1 2.20000+ 1 9.78764- 3 1.38990- 2 1.10000+ 1 2.40000+ 1 8.98485- 4 1.42775- 2 1.10000+ 1 2.50000+ 1 1.04769- 3 1.42942- 2 1.10000+ 1 2.70000+ 1 1.24989- 3 1.44136- 2 1.10000+ 1 2.90000+ 1 1.74892- 3 1.44873- 2 1.10000+ 1 3.00000+ 1 3.37961- 3 1.45736- 2 1.10000+ 1 3.20000+ 1 1.70733- 3 1.46827- 2 1.10000+ 1 3.30000+ 1 2.04236- 3 1.46955- 2 1.30000+ 1 1.30000+ 1 4.27062- 3 1.09446- 2 1.30000+ 1 1.40000+ 1 7.92884- 2 1.11887- 2 1.30000+ 1 1.60000+ 1 7.37017- 4 1.36481- 2 1.30000+ 1 1.80000+ 1 3.44351- 4 1.38269- 2 1.30000+ 1 1.90000+ 1 5.39007- 3 1.41639- 2 1.30000+ 1 2.10000+ 1 1.68409- 3 1.44501- 2 1.30000+ 1 2.20000+ 1 1.31491- 2 1.45106- 2 1.30000+ 1 2.40000+ 1 4.72696- 4 1.48891- 2 1.30000+ 1 2.50000+ 1 1.55802- 3 1.49058- 2 1.30000+ 1 2.70000+ 1 1.96204- 4 1.50252- 2 1.30000+ 1 2.90000+ 1 8.84917- 5 1.50989- 2 1.30000+ 1 3.00000+ 1 1.20521- 3 1.51852- 2 1.30000+ 1 3.20000+ 1 3.44629- 4 1.52943- 2 1.30000+ 1 3.30000+ 1 2.54136- 3 1.53071- 2 1.40000+ 1 1.40000+ 1 5.20673- 2 1.14328- 2 1.40000+ 1 1.60000+ 1 1.63174- 3 1.38922- 2 1.40000+ 1 1.80000+ 1 1.69815- 3 1.40710- 2 1.40000+ 1 1.90000+ 1 7.26493- 3 1.44080- 2 1.40000+ 1 2.10000+ 1 1.57168- 2 1.46942- 2 1.40000+ 1 2.20000+ 1 1.98592- 2 1.47547- 2 1.40000+ 1 2.40000+ 1 4.89534- 3 1.51332- 2 1.40000+ 1 2.50000+ 1 4.36982- 3 1.51499- 2 1.40000+ 1 2.70000+ 1 4.37627- 4 1.52693- 2 1.40000+ 1 2.90000+ 1 4.20106- 4 1.53430- 2 1.40000+ 1 3.00000+ 1 1.68009- 3 1.54293- 2 1.40000+ 1 3.20000+ 1 3.20562- 3 1.55384- 2 1.40000+ 1 3.30000+ 1 3.97344- 3 1.55512- 2 1.60000+ 1 1.60000+ 1 1.35704- 5 1.63516- 2 1.60000+ 1 1.80000+ 1 4.52349- 6 1.65304- 2 1.60000+ 1 1.90000+ 1 7.87944- 4 1.68674- 2 1.60000+ 1 2.10000+ 1 1.02627- 4 1.71536- 2 1.60000+ 1 2.20000+ 1 2.14863- 4 1.72141- 2 1.60000+ 1 2.40000+ 1 4.72143- 5 1.75926- 2 1.60000+ 1 2.50000+ 1 8.70786- 5 1.76093- 2 1.60000+ 1 2.70000+ 1 7.06820- 6 1.77287- 2 1.60000+ 1 2.90000+ 1 1.13089- 6 1.78024- 2 1.60000+ 1 3.00000+ 1 1.79244- 4 1.78887- 2 1.60000+ 1 3.20000+ 1 1.92248- 5 1.79978- 2 1.60000+ 1 3.30000+ 1 3.90155- 5 1.80106- 2 1.80000+ 1 1.80000+ 1 5.65431- 7 1.67092- 2 1.80000+ 1 1.90000+ 1 1.21820- 3 1.70462- 2 1.80000+ 1 2.10000+ 1 6.04979- 5 1.73324- 2 1.80000+ 1 2.20000+ 1 3.12392- 4 1.73929- 2 1.80000+ 1 2.40000+ 1 4.66473- 5 1.77714- 2 1.80000+ 1 2.50000+ 1 9.97931- 5 1.77881- 2 1.80000+ 1 2.70000+ 1 1.13084- 6 1.79075- 2 1.80000+ 1 2.90000+ 1 2.82712- 7 1.79812- 2 1.80000+ 1 3.00000+ 1 2.79029- 4 1.80675- 2 1.80000+ 1 3.20000+ 1 1.21562- 5 1.81766- 2 1.80000+ 1 3.30000+ 1 6.19135- 5 1.81894- 2 1.90000+ 1 1.90000+ 1 1.43980- 3 1.73832- 2 1.90000+ 1 2.10000+ 1 1.28871- 3 1.76694- 2 1.90000+ 1 2.20000+ 1 1.70931- 3 1.77299- 2 1.90000+ 1 2.40000+ 1 1.17613- 4 1.81084- 2 1.90000+ 1 2.50000+ 1 1.44178- 4 1.81251- 2 1.90000+ 1 2.70000+ 1 2.13448- 4 1.82445- 2 1.90000+ 1 2.90000+ 1 3.07029- 4 1.83182- 2 1.90000+ 1 3.00000+ 1 6.88678- 4 1.84045- 2 1.90000+ 1 3.20000+ 1 2.73109- 4 1.85136- 2 1.90000+ 1 3.30000+ 1 3.55650- 4 1.85264- 2 2.10000+ 1 2.10000+ 1 1.58881- 4 1.79555- 2 2.10000+ 1 2.20000+ 1 2.74828- 3 1.80161- 2 2.10000+ 1 2.40000+ 1 6.10658- 5 1.83945- 2 2.10000+ 1 2.50000+ 1 1.86875- 4 1.84113- 2 2.10000+ 1 2.70000+ 1 2.77061- 5 1.85307- 2 2.10000+ 1 2.90000+ 1 1.55496- 5 1.86044- 2 2.10000+ 1 3.00000+ 1 2.88369- 4 1.86907- 2 2.10000+ 1 3.20000+ 1 6.44608- 5 1.87998- 2 2.10000+ 1 3.30000+ 1 5.36017- 4 1.88126- 2 2.20000+ 1 2.20000+ 1 1.90914- 3 1.80766- 2 2.20000+ 1 2.40000+ 1 6.28781- 4 1.84551- 2 2.20000+ 1 2.50000+ 1 5.49326- 4 1.84718- 2 2.20000+ 1 2.70000+ 1 5.79543- 5 1.85912- 2 2.20000+ 1 2.90000+ 1 7.85964- 5 1.86649- 2 2.20000+ 1 3.00000+ 1 3.93830- 4 1.87512- 2 2.20000+ 1 3.20000+ 1 5.65983- 4 1.88603- 2 2.20000+ 1 3.30000+ 1 7.64195- 4 1.88731- 2 2.40000+ 1 2.40000+ 1 3.10990- 6 1.88335- 2 2.40000+ 1 2.50000+ 1 9.44273- 5 1.88503- 2 2.40000+ 1 2.70000+ 1 1.07429- 5 1.89697- 2 2.40000+ 1 2.90000+ 1 1.07429- 5 1.90434- 2 2.40000+ 1 3.00000+ 1 2.54446- 5 1.91297- 2 2.40000+ 1 3.20000+ 1 1.13086- 5 1.92388- 2 2.40000+ 1 3.30000+ 1 1.14784- 4 1.92516- 2 2.50000+ 1 2.50000+ 1 3.33605- 5 1.88670- 2 2.50000+ 1 2.70000+ 1 2.03562- 5 1.89864- 2 2.50000+ 1 2.90000+ 1 2.26175- 5 1.90601- 2 2.50000+ 1 3.00000+ 1 3.16640- 5 1.91464- 2 2.50000+ 1 3.20000+ 1 3.39262- 5 1.92555- 2 2.50000+ 1 3.30000+ 1 9.97960- 5 1.92684- 2 2.70000+ 1 2.70000+ 1 8.48106- 7 1.91058- 2 2.70000+ 1 2.90000+ 1 2.82716- 7 1.91795- 2 2.70000+ 1 3.00000+ 1 4.86255- 5 1.92658- 2 2.70000+ 1 3.20000+ 1 5.08888- 6 1.93749- 2 2.70000+ 1 3.30000+ 1 1.04600- 5 1.93878- 2 2.90000+ 1 3.00000+ 1 7.03950- 5 1.93395- 2 2.90000+ 1 3.20000+ 1 3.10988- 6 1.94487- 2 2.90000+ 1 3.30000+ 1 1.55493- 5 1.94615- 2 3.00000+ 1 3.00000+ 1 8.19872- 5 1.94258- 2 3.00000+ 1 3.20000+ 1 6.10660- 5 1.95349- 2 3.00000+ 1 3.30000+ 1 8.19872- 5 1.95478- 2 3.20000+ 1 3.20000+ 1 6.50258- 6 1.96441- 2 3.20000+ 1 3.30000+ 1 1.10538- 4 1.96569- 2 3.30000+ 1 3.30000+ 1 7.63312- 5 1.96697- 2 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.06771- 5 3.81600- 4 1.10000+ 1 1.94301- 3 1.62870- 3 1.80000+ 1 3.48662- 3 5.12260- 3 1.90000+ 1 1.36101- 3 5.45960- 3 2.90000+ 1 9.86605- 4 6.39463- 3 3.00000+ 1 4.66012- 4 6.48092- 3 4.30000+ 1 1.70221- 4 6.69371- 3 4.40000+ 1 7.21753- 5 6.70740- 3 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.90000+ 1 1.72647- 2 4.37300- 5 1.00000+ 1 3.00000+ 1 1.91419- 2 1.30020- 4 1.00000+ 1 3.20000+ 1 1.13162- 2 2.39130- 4 1.00000+ 1 3.30000+ 1 1.42670- 2 2.51940- 4 1.00000+ 1 3.50000+ 1 1.11963- 3 3.70820- 4 1.00000+ 1 3.60000+ 1 1.38322- 3 3.72580- 4 1.00000+ 1 4.10000+ 1 3.01003- 3 3.20720- 4 1.00000+ 1 4.30000+ 1 2.66907- 3 3.42810- 4 1.00000+ 1 4.40000+ 1 2.55552- 3 3.56500- 4 1.00000+ 1 5.80000+ 1 2.37189- 4 3.75890- 4 1.10000+ 1 1.80000+ 1 5.02035- 2 1.88000- 5 1.10000+ 1 1.90000+ 1 3.08668- 2 3.55800- 4 1.10000+ 1 2.10000+ 1 8.02098- 3 6.41960- 4 1.10000+ 1 2.20000+ 1 2.53222- 2 7.02500- 4 1.10000+ 1 2.40000+ 1 1.98235- 1 1.08097- 3 1.10000+ 1 2.50000+ 1 2.35629- 1 1.09772- 3 1.10000+ 1 2.70000+ 1 1.11922- 2 1.21712- 3 1.10000+ 1 2.90000+ 1 1.17929- 2 1.29083- 3 1.10000+ 1 3.00000+ 1 7.63254- 3 1.37712- 3 1.10000+ 1 3.20000+ 1 2.06931- 3 1.48623- 3 1.10000+ 1 3.30000+ 1 5.72385- 3 1.49904- 3 1.10000+ 1 3.50000+ 1 1.06594- 2 1.61792- 3 1.10000+ 1 3.60000+ 1 1.20158- 2 1.61968- 3 1.10000+ 1 4.10000+ 1 2.15088- 3 1.56782- 3 1.10000+ 1 4.30000+ 1 1.87889- 3 1.58991- 3 1.10000+ 1 4.40000+ 1 1.05275- 3 1.60360- 3 1.10000+ 1 5.80000+ 1 1.66908- 4 1.62299- 3 1.30000+ 1 1.60000+ 1 2.68739- 2 4.51600- 4 1.30000+ 1 1.80000+ 1 5.48272- 3 6.30400- 4 1.30000+ 1 1.90000+ 1 1.11673- 2 9.67400- 4 1.30000+ 1 2.10000+ 1 8.76256- 3 1.25356- 3 1.30000+ 1 2.20000+ 1 9.97775- 3 1.31410- 3 1.30000+ 1 2.40000+ 1 1.01397- 2 1.69257- 3 1.30000+ 1 2.50000+ 1 9.88039- 3 1.70932- 3 1.30000+ 1 2.70000+ 1 4.41826- 3 1.82872- 3 1.30000+ 1 2.90000+ 1 1.10164- 3 1.90243- 3 1.30000+ 1 3.00000+ 1 2.04554- 3 1.98872- 3 1.30000+ 1 3.20000+ 1 1.50767- 3 2.09783- 3 1.30000+ 1 3.30000+ 1 1.87062- 3 2.11064- 3 1.30000+ 1 3.50000+ 1 5.73321- 4 2.22952- 3 1.30000+ 1 3.60000+ 1 5.01551- 4 2.23128- 3 1.30000+ 1 4.10000+ 1 7.77496- 4 2.17942- 3 1.30000+ 1 4.30000+ 1 1.72648- 4 2.20151- 3 1.30000+ 1 4.40000+ 1 2.68349- 4 2.21520- 3 1.30000+ 1 5.80000+ 1 6.00320- 5 2.23459- 3 1.40000+ 1 1.60000+ 1 3.60298- 2 6.95700- 4 1.40000+ 1 1.80000+ 1 8.16854- 4 8.74500- 4 1.40000+ 1 1.90000+ 1 1.28412- 2 1.21150- 3 1.40000+ 1 2.10000+ 1 1.16388- 2 1.49766- 3 1.40000+ 1 2.20000+ 1 1.54561- 2 1.55820- 3 1.40000+ 1 2.40000+ 1 1.26083- 2 1.93667- 3 1.40000+ 1 2.50000+ 1 1.81278- 2 1.95342- 3 1.40000+ 1 2.70000+ 1 5.80930- 3 2.07282- 3 1.40000+ 1 2.90000+ 1 2.54497- 4 2.14653- 3 1.40000+ 1 3.00000+ 1 2.30396- 3 2.23282- 3 1.40000+ 1 3.20000+ 1 2.24359- 3 2.34193- 3 1.40000+ 1 3.30000+ 1 2.79565- 3 2.35474- 3 1.40000+ 1 3.50000+ 1 6.64862- 4 2.47362- 3 1.40000+ 1 3.60000+ 1 9.47845- 4 2.47538- 3 1.40000+ 1 4.10000+ 1 1.01754- 3 2.42352- 3 1.40000+ 1 4.30000+ 1 4.39243- 5 2.44561- 3 1.40000+ 1 4.40000+ 1 3.02005- 4 2.45930- 3 1.40000+ 1 5.80000+ 1 7.85298- 5 2.47869- 3 1.60000+ 1 1.60000+ 1 2.22664- 3 3.15510- 3 1.60000+ 1 1.80000+ 1 4.00259- 3 3.33390- 3 1.60000+ 1 1.90000+ 1 5.94976- 3 3.67090- 3 1.60000+ 1 2.10000+ 1 7.31657- 3 3.95706- 3 1.60000+ 1 2.20000+ 1 9.99870- 3 4.01760- 3 1.60000+ 1 2.40000+ 1 5.55652- 3 4.39607- 3 1.60000+ 1 2.50000+ 1 6.79319- 3 4.41282- 3 1.60000+ 1 2.70000+ 1 9.70224- 4 4.53222- 3 1.60000+ 1 2.90000+ 1 1.02426- 3 4.60593- 3 1.60000+ 1 3.00000+ 1 1.49406- 3 4.69222- 3 1.60000+ 1 3.20000+ 1 1.52395- 3 4.80133- 3 1.60000+ 1 3.30000+ 1 2.05812- 3 4.81414- 3 1.60000+ 1 3.50000+ 1 4.19151- 4 4.93302- 3 1.60000+ 1 3.60000+ 1 4.90101- 4 4.93478- 3 1.60000+ 1 4.10000+ 1 1.84891- 4 4.88292- 3 1.60000+ 1 4.30000+ 1 1.67978- 4 4.90501- 3 1.60000+ 1 4.40000+ 1 2.08051- 4 4.91870- 3 1.60000+ 1 5.80000+ 1 1.45088- 5 4.93809- 3 1.80000+ 1 1.80000+ 1 1.39503- 4 3.51270- 3 1.80000+ 1 1.90000+ 1 5.04745- 4 3.84970- 3 1.80000+ 1 2.10000+ 1 2.28547- 4 4.13586- 3 1.80000+ 1 2.20000+ 1 8.59892- 5 4.19640- 3 1.80000+ 1 2.40000+ 1 1.82366- 5 4.57487- 3 1.80000+ 1 2.50000+ 1 5.67309- 4 4.59162- 3 1.80000+ 1 2.70000+ 1 6.46397- 4 4.71102- 3 1.80000+ 1 2.90000+ 1 4.96519- 5 4.78473- 3 1.80000+ 1 3.00000+ 1 8.43938- 5 4.87102- 3 1.80000+ 1 3.20000+ 1 3.97999- 5 4.98013- 3 1.80000+ 1 3.30000+ 1 2.34264- 5 4.99294- 3 1.80000+ 1 3.50000+ 1 6.65529- 7 5.11182- 3 1.80000+ 1 3.60000+ 1 2.55577- 5 5.11358- 3 1.80000+ 1 4.10000+ 1 1.13803- 4 5.06172- 3 1.80000+ 1 4.30000+ 1 7.58722- 6 5.08381- 3 1.80000+ 1 4.40000+ 1 1.09145- 5 5.09750- 3 1.80000+ 1 5.80000+ 1 8.78524- 6 5.11689- 3 1.90000+ 1 1.90000+ 1 3.84950- 4 4.18670- 3 1.90000+ 1 2.10000+ 1 7.57395- 4 4.47286- 3 1.90000+ 1 2.20000+ 1 1.61263- 3 4.53340- 3 1.90000+ 1 2.40000+ 1 1.19989- 3 4.91187- 3 1.90000+ 1 2.50000+ 1 1.60523- 3 4.92862- 3 1.90000+ 1 2.70000+ 1 9.64898- 4 5.04802- 3 1.90000+ 1 2.90000+ 1 1.11943- 4 5.12173- 3 1.90000+ 1 3.00000+ 1 1.65451- 4 5.20802- 3 1.90000+ 1 3.20000+ 1 1.50417- 4 5.31713- 3 1.90000+ 1 3.30000+ 1 3.14259- 4 5.32994- 3 1.90000+ 1 3.50000+ 1 8.53225- 5 5.44882- 3 1.90000+ 1 3.60000+ 1 9.93006- 5 5.45058- 3 1.90000+ 1 4.10000+ 1 1.70379- 4 5.39872- 3 1.90000+ 1 4.30000+ 1 1.78365- 5 5.42081- 3 1.90000+ 1 4.40000+ 1 2.23616- 5 5.43450- 3 1.90000+ 1 5.80000+ 1 1.31784- 5 5.45389- 3 2.10000+ 1 2.10000+ 1 1.05416- 4 4.75902- 3 2.10000+ 1 2.20000+ 1 1.91149- 4 4.81956- 3 2.10000+ 1 2.40000+ 1 4.56958- 4 5.19803- 3 2.10000+ 1 2.50000+ 1 2.41208- 3 5.21478- 3 2.10000+ 1 2.70000+ 1 1.15012- 3 5.33418- 3 2.10000+ 1 2.90000+ 1 3.51402- 5 5.40789- 3 2.10000+ 1 3.00000+ 1 1.41760- 4 5.49418- 3 2.10000+ 1 3.20000+ 1 3.43426- 5 5.60329- 3 2.10000+ 1 3.30000+ 1 3.34100- 5 5.61610- 3 2.10000+ 1 3.50000+ 1 3.06152- 5 5.73498- 3 2.10000+ 1 3.60000+ 1 1.23258- 4 5.73674- 3 2.10000+ 1 4.10000+ 1 2.01115- 4 5.68488- 3 2.10000+ 1 4.30000+ 1 5.19111- 6 5.70697- 3 2.10000+ 1 4.40000+ 1 1.85022- 5 5.72066- 3 2.10000+ 1 5.80000+ 1 1.55734- 5 5.74005- 3 2.20000+ 1 2.20000+ 1 2.14040- 4 4.88010- 3 2.20000+ 1 2.40000+ 1 2.04674- 3 5.25857- 3 2.20000+ 1 2.50000+ 1 1.41780- 3 5.27532- 3 2.20000+ 1 2.70000+ 1 1.56015- 3 5.39472- 3 2.20000+ 1 2.90000+ 1 1.51746- 5 5.46843- 3 2.20000+ 1 3.00000+ 1 2.96037- 4 5.55472- 3 2.20000+ 1 3.20000+ 1 2.84852- 5 5.66383- 3 2.20000+ 1 3.30000+ 1 7.22758- 5 5.67664- 3 2.20000+ 1 3.50000+ 1 1.05686- 4 5.79552- 3 2.20000+ 1 3.60000+ 1 7.94669- 5 5.79728- 3 2.20000+ 1 4.10000+ 1 2.72347- 4 5.74542- 3 2.20000+ 1 4.30000+ 1 2.39589- 6 5.76751- 3 2.20000+ 1 4.40000+ 1 3.86009- 5 5.78120- 3 2.20000+ 1 5.80000+ 1 2.10312- 5 5.80059- 3 2.40000+ 1 2.40000+ 1 6.24422- 4 5.63704- 3 2.40000+ 1 2.50000+ 1 4.09034- 3 5.65379- 3 2.40000+ 1 2.70000+ 1 7.92261- 4 5.77319- 3 2.40000+ 1 2.90000+ 1 5.59020- 6 5.84690- 3 2.40000+ 1 3.00000+ 1 1.56923- 4 5.93319- 3 2.40000+ 1 3.20000+ 1 8.38590- 5 6.04230- 3 2.40000+ 1 3.30000+ 1 4.40181- 4 6.05511- 3 2.40000+ 1 3.50000+ 1 8.45247- 5 6.17399- 3 2.40000+ 1 3.60000+ 1 2.21085- 4 6.17575- 3 2.40000+ 1 4.10000+ 1 1.36032- 4 6.12389- 3 2.40000+ 1 4.30000+ 1 9.31720- 7 6.14598- 3 2.40000+ 1 4.40000+ 1 1.91668- 5 6.15967- 3 2.40000+ 1 5.80000+ 1 1.05145- 5 6.17906- 3 2.50000+ 1 2.50000+ 1 1.40150- 3 5.67054- 3 2.50000+ 1 2.70000+ 1 9.65825- 4 5.78994- 3 2.50000+ 1 2.90000+ 1 1.22997- 4 5.86365- 3 2.50000+ 1 3.00000+ 1 2.22823- 4 5.94994- 3 2.50000+ 1 3.20000+ 1 5.01155- 4 6.05905- 3 2.50000+ 1 3.30000+ 1 2.81249- 4 6.07186- 3 2.50000+ 1 3.50000+ 1 2.26012- 4 6.19074- 3 2.50000+ 1 3.60000+ 1 1.67578- 4 6.19250- 3 2.50000+ 1 4.10000+ 1 1.65719- 4 6.14064- 3 2.50000+ 1 4.30000+ 1 1.94337- 5 6.16273- 3 2.50000+ 1 4.40000+ 1 2.75532- 5 6.17642- 3 2.50000+ 1 5.80000+ 1 1.27785- 5 6.19581- 3 2.70000+ 1 2.70000+ 1 9.66366- 5 5.90934- 3 2.70000+ 1 2.90000+ 1 1.67320- 4 5.98305- 3 2.70000+ 1 3.00000+ 1 2.42118- 4 6.06934- 3 2.70000+ 1 3.20000+ 1 2.41598- 4 6.17845- 3 2.70000+ 1 3.30000+ 1 3.23855- 4 6.19126- 3 2.70000+ 1 3.50000+ 1 6.00319- 5 6.31014- 3 2.70000+ 1 3.60000+ 1 7.00157- 5 6.31190- 3 2.70000+ 1 4.10000+ 1 3.62059- 5 6.26004- 3 2.70000+ 1 4.30000+ 1 2.75536- 5 6.28213- 3 2.70000+ 1 4.40000+ 1 3.36759- 5 6.29582- 3 2.70000+ 1 5.80000+ 1 2.79534- 6 6.31521- 3 2.90000+ 1 2.90000+ 1 4.25953- 6 6.05676- 3 2.90000+ 1 3.00000+ 1 1.81034- 5 6.14305- 3 2.90000+ 1 3.20000+ 1 6.12305- 6 6.25216- 3 2.90000+ 1 3.30000+ 1 4.52572- 6 6.26497- 3 2.90000+ 1 3.50000+ 1 1.33114- 7 6.38385- 3 2.90000+ 1 3.60000+ 1 5.85697- 6 6.38561- 3 2.90000+ 1 4.10000+ 1 2.95507- 5 6.33375- 3 2.90000+ 1 4.30000+ 1 1.33114- 6 6.35584- 3 2.90000+ 1 4.40000+ 1 2.26286- 6 6.36953- 3 2.90000+ 1 5.80000+ 1 2.26286- 6 6.38892- 3 3.00000+ 1 3.00000+ 1 1.69059- 5 6.22934- 3 3.00000+ 1 3.20000+ 1 2.83523- 5 6.33845- 3 3.00000+ 1 3.30000+ 1 5.81679- 5 6.35126- 3 3.00000+ 1 3.50000+ 1 1.13143- 5 6.47014- 3 3.00000+ 1 3.60000+ 1 1.37103- 5 6.47190- 3 3.00000+ 1 4.10000+ 1 4.27284- 5 6.42004- 3 3.00000+ 1 4.30000+ 1 2.92839- 6 6.44213- 3 3.00000+ 1 4.40000+ 1 4.52573- 6 6.45582- 3 3.00000+ 1 5.80000+ 1 3.32773- 6 6.47521- 3 3.20000+ 1 3.20000+ 1 2.52906- 6 6.44756- 3 3.20000+ 1 3.30000+ 1 5.05812- 6 6.46037- 3 3.20000+ 1 3.50000+ 1 5.59029- 6 6.57925- 3 3.20000+ 1 3.60000+ 1 2.70209- 5 6.58101- 3 3.20000+ 1 4.10000+ 1 4.23285- 5 6.52915- 3 3.20000+ 1 4.30000+ 1 9.31736- 7 6.55124- 3 3.20000+ 1 4.40000+ 1 3.72707- 6 6.56493- 3 3.20000+ 1 5.80000+ 1 3.32773- 6 6.58432- 3 3.30000+ 1 3.30000+ 1 5.85710- 6 6.47318- 3 3.30000+ 1 3.50000+ 1 2.38266- 5 6.59206- 3 3.30000+ 1 3.60000+ 1 1.61066- 5 6.59382- 3 3.30000+ 1 4.10000+ 1 5.65747- 5 6.54196- 3 3.30000+ 1 4.30000+ 1 6.65537- 7 6.56405- 3 3.30000+ 1 4.40000+ 1 7.58731- 6 6.57774- 3 3.30000+ 1 5.80000+ 1 4.39267- 6 6.59713- 3 3.50000+ 1 3.50000+ 1 2.52904- 6 6.71094- 3 3.50000+ 1 3.60000+ 1 1.29116- 5 6.71270- 3 3.50000+ 1 4.10000+ 1 1.02497- 5 6.66084- 3 3.50000+ 1 4.40000+ 1 1.33114- 6 6.69662- 3 3.50000+ 1 5.80000+ 1 7.98636- 7 6.71601- 3 3.60000+ 1 3.60000+ 1 4.79198- 6 6.71446- 3 3.60000+ 1 4.10000+ 1 1.19802- 5 6.66260- 3 3.60000+ 1 4.30000+ 1 9.31747- 7 6.68469- 3 3.60000+ 1 4.40000+ 1 1.73041- 6 6.69838- 3 3.60000+ 1 5.80000+ 1 9.31747- 7 6.71777- 3 4.10000+ 1 4.10000+ 1 3.52409- 6 6.61074- 3 4.10000+ 1 4.30000+ 1 5.07467- 6 6.63283- 3 4.10000+ 1 4.40000+ 1 6.34348- 6 6.64652- 3 4.10000+ 1 5.80000+ 1 5.63836- 7 6.66591- 3 4.30000+ 1 4.30000+ 1 1.33115- 7 6.65492- 3 4.30000+ 1 4.40000+ 1 3.99325- 7 6.66861- 3 4.30000+ 1 5.80000+ 1 3.99325- 7 6.68800- 3 4.40000+ 1 4.40000+ 1 2.66219- 7 6.68230- 3 4.40000+ 1 5.80000+ 1 3.99324- 7 6.70169- 3 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.78841- 3 1.85870- 3 1.60000+ 1 1.23191- 3 4.56220- 3 2.10000+ 1 5.53722- 3 5.36416- 3 2.70000+ 1 3.39142- 4 5.93932- 3 3.20000+ 1 1.48331- 3 6.20843- 3 4.10000+ 1 6.83443- 5 6.29002- 3 5.80000+ 1 5.67473- 6 6.34519- 3 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 2.10000+ 1 1.21936- 2 2.60360- 4 1.10000+ 1 2.20000+ 1 2.07131- 2 3.20900- 4 1.10000+ 1 2.40000+ 1 2.84531- 2 6.99370- 4 1.10000+ 1 2.50000+ 1 2.22265- 2 7.16120- 4 1.10000+ 1 2.70000+ 1 3.16382- 3 8.35520- 4 1.10000+ 1 2.90000+ 1 4.90826- 3 9.09230- 4 1.10000+ 1 3.00000+ 1 1.58755- 3 9.95520- 4 1.10000+ 1 3.20000+ 1 2.27923- 3 1.10463- 3 1.10000+ 1 3.30000+ 1 3.69891- 3 1.11744- 3 1.10000+ 1 3.50000+ 1 1.67396- 3 1.23632- 3 1.10000+ 1 3.60000+ 1 1.28555- 3 1.23808- 3 1.10000+ 1 4.10000+ 1 5.82601- 4 1.18622- 3 1.10000+ 1 4.30000+ 1 7.17017- 4 1.20831- 3 1.10000+ 1 4.40000+ 1 2.11933- 4 1.22200- 3 1.10000+ 1 5.80000+ 1 4.53541- 5 1.24139- 3 1.30000+ 1 1.60000+ 1 4.87167- 2 7.00000- 5 1.30000+ 1 1.80000+ 1 5.14431- 2 2.48800- 4 1.30000+ 1 1.90000+ 1 2.77702- 2 5.85800- 4 1.30000+ 1 2.10000+ 1 1.66611- 2 8.71960- 4 1.30000+ 1 2.20000+ 1 3.09418- 2 9.32500- 4 1.30000+ 1 2.40000+ 1 1.54539- 1 1.31097- 3 1.30000+ 1 2.50000+ 1 2.44313- 1 1.32772- 3 1.30000+ 1 2.70000+ 1 1.27041- 2 1.44712- 3 1.30000+ 1 2.90000+ 1 1.06707- 2 1.52083- 3 1.30000+ 1 3.00000+ 1 6.71623- 3 1.60712- 3 1.30000+ 1 3.20000+ 1 3.70633- 3 1.71623- 3 1.30000+ 1 3.30000+ 1 6.53903- 3 1.72904- 3 1.30000+ 1 3.50000+ 1 8.44793- 3 1.84792- 3 1.30000+ 1 3.60000+ 1 1.34613- 2 1.84968- 3 1.30000+ 1 4.10000+ 1 2.46295- 3 1.79782- 3 1.30000+ 1 4.30000+ 1 1.68069- 3 1.81991- 3 1.30000+ 1 4.40000+ 1 9.26409- 4 1.83360- 3 1.30000+ 1 5.80000+ 1 1.92096- 4 1.85299- 3 1.40000+ 1 1.60000+ 1 7.21589- 3 3.14100- 4 1.40000+ 1 1.80000+ 1 5.83522- 2 4.92900- 4 1.40000+ 1 1.90000+ 1 4.40917- 3 8.29900- 4 1.40000+ 1 2.10000+ 1 2.74705- 3 1.11606- 3 1.40000+ 1 2.20000+ 1 2.87388- 3 1.17660- 3 1.40000+ 1 2.40000+ 1 9.23557- 3 1.55507- 3 1.40000+ 1 2.50000+ 1 5.18966- 3 1.57182- 3 1.40000+ 1 2.70000+ 1 1.25587- 3 1.69122- 3 1.40000+ 1 2.90000+ 1 9.06704- 3 1.76493- 3 1.40000+ 1 3.00000+ 1 8.93039- 4 1.85122- 3 1.40000+ 1 3.20000+ 1 2.40598- 4 1.96033- 3 1.40000+ 1 3.30000+ 1 5.28725- 4 1.97314- 3 1.40000+ 1 3.50000+ 1 7.24282- 4 2.09202- 3 1.40000+ 1 3.60000+ 1 3.20804- 4 2.09378- 3 1.40000+ 1 4.10000+ 1 2.24435- 4 2.04192- 3 1.40000+ 1 4.30000+ 1 1.33567- 3 2.06401- 3 1.40000+ 1 4.40000+ 1 1.19220- 4 2.07770- 3 1.40000+ 1 5.80000+ 1 1.73407- 5 2.09709- 3 1.60000+ 1 1.60000+ 1 3.55581- 4 2.77350- 3 1.60000+ 1 1.80000+ 1 5.85211- 3 2.95230- 3 1.60000+ 1 1.90000+ 1 6.55847- 4 3.28930- 3 1.60000+ 1 2.10000+ 1 2.69742- 4 3.57546- 3 1.60000+ 1 2.20000+ 1 6.43382- 4 3.63600- 3 1.60000+ 1 2.40000+ 1 7.19034- 5 4.01447- 3 1.60000+ 1 2.50000+ 1 4.57192- 4 4.03122- 3 1.60000+ 1 2.70000+ 1 1.43393- 4 4.15062- 3 1.60000+ 1 2.90000+ 1 9.07741- 4 4.22433- 3 1.60000+ 1 3.00000+ 1 1.47548- 4 4.31062- 3 1.60000+ 1 3.20000+ 1 3.57434- 5 4.41973- 3 1.60000+ 1 3.30000+ 1 1.17002- 4 4.43254- 3 1.60000+ 1 3.50000+ 1 3.94841- 6 4.55142- 3 1.60000+ 1 3.60000+ 1 2.18197- 5 4.55318- 3 1.60000+ 1 4.10000+ 1 2.65999- 5 4.50132- 3 1.60000+ 1 4.30000+ 1 1.34454- 4 4.52341- 3 1.60000+ 1 4.40000+ 1 2.01576- 5 4.53710- 3 1.60000+ 1 5.80000+ 1 2.07815- 6 4.55649- 3 1.80000+ 1 1.80000+ 1 4.62931- 3 3.13110- 3 1.80000+ 1 1.90000+ 1 1.18422- 2 3.46810- 3 1.80000+ 1 2.10000+ 1 1.21430- 2 3.75426- 3 1.80000+ 1 2.20000+ 1 1.86833- 2 3.81480- 3 1.80000+ 1 2.40000+ 1 7.65316- 3 4.19327- 3 1.80000+ 1 2.50000+ 1 1.21805- 2 4.21002- 3 1.80000+ 1 2.70000+ 1 1.56790- 3 4.32942- 3 1.80000+ 1 2.90000+ 1 1.93531- 3 4.40313- 3 1.80000+ 1 3.00000+ 1 2.94367- 3 4.48942- 3 1.80000+ 1 3.20000+ 1 2.54622- 3 4.59853- 3 1.80000+ 1 3.30000+ 1 3.80679- 3 4.61134- 3 1.80000+ 1 3.50000+ 1 5.79164- 4 4.73022- 3 1.80000+ 1 3.60000+ 1 8.72377- 4 4.73198- 3 1.80000+ 1 4.10000+ 1 3.08807- 4 4.68012- 3 1.80000+ 1 4.30000+ 1 3.07560- 4 4.70221- 3 1.80000+ 1 4.40000+ 1 4.08758- 4 4.71590- 3 1.80000+ 1 5.80000+ 1 2.43137- 5 4.73529- 3 1.90000+ 1 1.90000+ 1 2.74514- 4 3.80510- 3 1.90000+ 1 2.10000+ 1 6.08056- 4 4.09126- 3 1.90000+ 1 2.20000+ 1 6.02242- 4 4.15180- 3 1.90000+ 1 2.40000+ 1 4.68953- 3 4.53027- 3 1.90000+ 1 2.50000+ 1 1.32356- 3 4.54702- 3 1.90000+ 1 2.70000+ 1 1.10555- 4 4.66642- 3 1.90000+ 1 2.90000+ 1 1.86737- 3 4.74013- 3 1.90000+ 1 3.00000+ 1 1.15129- 4 4.82642- 3 1.90000+ 1 3.20000+ 1 9.76715- 5 4.93553- 3 1.90000+ 1 3.30000+ 1 1.12425- 4 4.94834- 3 1.90000+ 1 3.50000+ 1 2.89692- 4 5.06722- 3 1.90000+ 1 3.60000+ 1 8.20835- 5 5.06898- 3 1.90000+ 1 4.10000+ 1 1.97422- 5 5.01712- 3 1.90000+ 1 4.30000+ 1 2.77434- 4 5.03921- 3 1.90000+ 1 4.40000+ 1 1.55857- 5 5.05290- 3 1.90000+ 1 5.80000+ 1 1.45464- 6 5.07229- 3 2.10000+ 1 2.10000+ 1 4.91268- 4 4.37742- 3 2.10000+ 1 2.20000+ 1 7.92346- 4 4.43796- 3 2.10000+ 1 2.40000+ 1 4.96878- 4 4.81643- 3 2.10000+ 1 2.50000+ 1 5.56308- 4 4.83318- 3 2.10000+ 1 2.70000+ 1 7.04473- 5 4.95258- 3 2.10000+ 1 2.90000+ 1 1.84908- 3 5.02629- 3 2.10000+ 1 3.00000+ 1 1.44011- 4 5.11258- 3 2.10000+ 1 3.20000+ 1 1.65622- 4 5.22169- 3 2.10000+ 1 3.30000+ 1 1.47342- 4 5.23450- 3 2.10000+ 1 3.50000+ 1 1.80801- 5 5.35338- 3 2.10000+ 1 3.60000+ 1 2.70152- 5 5.35514- 3 2.10000+ 1 4.10000+ 1 1.37155- 5 5.30328- 3 2.10000+ 1 4.30000+ 1 2.72430- 4 5.32537- 3 2.10000+ 1 4.40000+ 1 1.97422- 5 5.33906- 3 2.10000+ 1 5.80000+ 1 1.03904- 6 5.35845- 3 2.20000+ 1 2.20000+ 1 2.17578- 4 4.49850- 3 2.20000+ 1 2.40000+ 1 8.04031- 4 4.87697- 3 2.20000+ 1 2.50000+ 1 2.32332- 4 4.89372- 3 2.20000+ 1 2.70000+ 1 1.33410- 4 5.01312- 3 2.20000+ 1 2.90000+ 1 2.86990- 3 5.08683- 3 2.20000+ 1 3.00000+ 1 1.13465- 4 5.17312- 3 2.20000+ 1 3.20000+ 1 1.13053- 4 5.28223- 3 2.20000+ 1 3.30000+ 1 7.48126- 5 5.29504- 3 2.20000+ 1 3.50000+ 1 2.28601- 5 5.41392- 3 2.20000+ 1 3.60000+ 1 1.01826- 5 5.41568- 3 2.20000+ 1 4.10000+ 1 2.49376- 5 5.36382- 3 2.20000+ 1 4.30000+ 1 4.23730- 4 5.38591- 3 2.20000+ 1 4.40000+ 1 1.49630- 5 5.39960- 3 2.20000+ 1 5.80000+ 1 1.87026- 6 5.41899- 3 2.40000+ 1 2.40000+ 1 1.98402- 3 5.25544- 3 2.40000+ 1 2.50000+ 1 1.26057- 2 5.27219- 3 2.40000+ 1 2.70000+ 1 1.35070- 5 5.39159- 3 2.40000+ 1 2.90000+ 1 1.07149- 3 5.46530- 3 2.40000+ 1 3.00000+ 1 1.09409- 3 5.55159- 3 2.40000+ 1 3.20000+ 1 1.02659- 4 5.66070- 3 2.40000+ 1 3.30000+ 1 2.11351- 4 5.67351- 3 2.40000+ 1 3.50000+ 1 2.44179- 4 5.79239- 3 2.40000+ 1 3.60000+ 1 7.31699- 4 5.79415- 3 2.40000+ 1 4.10000+ 1 2.49375- 6 5.74229- 3 2.40000+ 1 4.30000+ 1 1.56693- 4 5.76438- 3 2.40000+ 1 4.40000+ 1 1.50031- 4 5.77807- 3 2.40000+ 1 5.80000+ 1 2.07814- 7 5.79746- 3 2.50000+ 1 2.50000+ 1 6.53356- 4 5.28894- 3 2.50000+ 1 2.70000+ 1 9.85044- 5 5.40834- 3 2.50000+ 1 2.90000+ 1 1.64485- 3 5.48205- 3 2.50000+ 1 3.00000+ 1 2.70990- 4 5.56834- 3 2.50000+ 1 3.20000+ 1 1.15337- 4 5.67745- 3 2.50000+ 1 3.30000+ 1 5.02900- 5 5.69026- 3 2.50000+ 1 3.50000+ 1 7.44803- 4 5.80914- 3 2.50000+ 1 3.60000+ 1 7.66851- 5 5.81090- 3 2.50000+ 1 4.10000+ 1 1.82873- 5 5.75904- 3 2.50000+ 1 4.30000+ 1 2.36296- 4 5.78113- 3 2.50000+ 1 4.40000+ 1 3.63675- 5 5.79482- 3 2.50000+ 1 5.80000+ 1 1.45465- 6 5.81421- 3 2.70000+ 1 2.70000+ 1 1.43394- 5 5.52774- 3 2.70000+ 1 2.90000+ 1 2.45019- 4 5.60145- 3 2.70000+ 1 3.00000+ 1 2.45214- 5 5.68774- 3 2.70000+ 1 3.20000+ 1 8.93627- 6 5.79685- 3 2.70000+ 1 3.30000+ 1 2.47309- 5 5.80966- 3 2.70000+ 1 3.50000+ 1 8.31227- 7 5.92854- 3 2.70000+ 1 3.60000+ 1 4.77973- 6 5.93030- 3 2.70000+ 1 4.10000+ 1 5.19536- 6 5.87844- 3 2.70000+ 1 4.30000+ 1 3.63677- 5 5.90053- 3 2.70000+ 1 4.40000+ 1 3.32507- 6 5.91422- 3 2.70000+ 1 5.80000+ 1 4.15621- 7 5.93361- 3 2.90000+ 1 2.90000+ 1 1.88065- 4 5.67516- 3 2.90000+ 1 3.00000+ 1 4.67986- 4 5.76145- 3 2.90000+ 1 3.20000+ 1 3.90676- 4 5.87056- 3 2.90000+ 1 3.30000+ 1 5.89547- 4 5.88337- 3 2.90000+ 1 3.50000+ 1 8.08367- 5 6.00225- 3 2.90000+ 1 3.60000+ 1 1.19076- 4 6.00401- 3 2.90000+ 1 4.10000+ 1 4.84195- 5 5.95215- 3 2.90000+ 1 4.30000+ 1 5.90176- 5 5.97424- 3 2.90000+ 1 4.40000+ 1 6.50442- 5 5.98793- 3 2.90000+ 1 5.80000+ 1 3.74047- 6 6.00732- 3 3.00000+ 1 3.00000+ 1 1.18451- 5 5.84774- 3 3.00000+ 1 3.20000+ 1 2.30672- 5 5.95685- 3 3.00000+ 1 3.30000+ 1 2.11968- 5 5.96966- 3 3.00000+ 1 3.50000+ 1 6.77463- 5 6.08854- 3 3.00000+ 1 3.60000+ 1 1.68321- 5 6.09030- 3 3.00000+ 1 4.10000+ 1 4.36399- 6 6.03844- 3 3.00000+ 1 4.30000+ 1 6.96167- 5 6.06053- 3 3.00000+ 1 4.40000+ 1 3.11713- 6 6.07422- 3 3.00000+ 1 5.80000+ 1 4.15612- 7 6.09361- 3 3.20000+ 1 3.20000+ 1 1.32998- 5 6.06596- 3 3.20000+ 1 3.30000+ 1 2.26516- 5 6.07877- 3 3.20000+ 1 3.50000+ 1 4.15611- 6 6.19765- 3 3.20000+ 1 3.60000+ 1 6.44209- 6 6.19941- 3 3.20000+ 1 4.10000+ 1 1.66250- 6 6.14755- 3 3.20000+ 1 4.30000+ 1 5.75634- 5 6.16964- 3 3.20000+ 1 4.40000+ 1 3.11713- 6 6.18333- 3 3.20000+ 1 5.80000+ 1 2.07812- 7 6.20272- 3 3.30000+ 1 3.30000+ 1 6.65025- 6 6.09158- 3 3.30000+ 1 3.50000+ 1 7.48152- 6 6.21046- 3 3.30000+ 1 3.60000+ 1 2.28609- 6 6.21222- 3 3.30000+ 1 4.10000+ 1 4.57204- 6 6.16036- 3 3.30000+ 1 4.30000+ 1 8.70734- 5 6.18245- 3 3.30000+ 1 4.40000+ 1 2.70160- 6 6.19614- 3 3.30000+ 1 5.80000+ 1 4.15628- 7 6.21553- 3 3.50000+ 1 3.50000+ 1 7.06557- 6 6.32934- 3 3.50000+ 1 3.60000+ 1 4.48870- 5 6.33110- 3 3.50000+ 1 4.10000+ 1 2.07815- 7 6.27924- 3 3.50000+ 1 4.30000+ 1 1.18453- 5 6.30133- 3 3.50000+ 1 4.40000+ 1 9.35168- 6 6.31502- 3 3.60000+ 1 3.60000+ 1 2.07812- 6 6.33286- 3 3.60000+ 1 4.10000+ 1 8.31208- 7 6.28100- 3 3.60000+ 1 4.30000+ 1 1.70418- 5 6.30309- 3 3.60000+ 1 4.40000+ 1 2.28599- 6 6.31678- 3 4.10000+ 1 4.10000+ 1 4.15615- 7 6.22914- 3 4.10000+ 1 4.30000+ 1 7.27329- 6 6.25123- 3 4.10000+ 1 4.40000+ 1 6.23428- 7 6.26492- 3 4.30000+ 1 4.30000+ 1 4.67567- 6 6.27332- 3 4.30000+ 1 4.40000+ 1 9.98882- 6 6.28701- 3 4.30000+ 1 5.80000+ 1 6.37578- 7 6.30640- 3 4.40000+ 1 4.40000+ 1 2.07811- 7 6.30070- 3 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.34990- 5 6.11600- 4 1.40000+ 1 3.61580- 4 8.55700- 4 1.60000+ 1 2.78110- 3 3.31510- 3 2.10000+ 1 1.25240- 3 4.11706- 3 2.20000+ 1 9.21591- 3 4.17760- 3 2.70000+ 1 7.19800- 4 4.69222- 3 3.20000+ 1 2.88710- 4 4.96133- 3 3.30000+ 1 2.17740- 3 4.97414- 3 4.10000+ 1 1.43560- 4 5.04292- 3 5.80000+ 1 1.20640- 5 5.09809- 3 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 1.06625- 2 6.38700- 5 1.30000+ 1 2.50000+ 1 1.82416- 2 8.06200- 5 1.30000+ 1 2.70000+ 1 4.26899- 3 2.00020- 4 1.30000+ 1 2.90000+ 1 4.29707- 3 2.73730- 4 1.30000+ 1 3.00000+ 1 1.16624- 2 3.60020- 4 1.30000+ 1 3.20000+ 1 2.34406- 3 4.69130- 4 1.30000+ 1 3.30000+ 1 2.67934- 3 4.81940- 4 1.30000+ 1 3.50000+ 1 7.25350- 4 6.00820- 4 1.30000+ 1 3.60000+ 1 1.22231- 3 6.02580- 4 1.30000+ 1 4.10000+ 1 7.92224- 4 5.50720- 4 1.30000+ 1 4.30000+ 1 6.68968- 4 5.72810- 4 1.30000+ 1 4.40000+ 1 1.51020- 3 5.86500- 4 1.30000+ 1 5.80000+ 1 6.09739- 5 6.05890- 4 1.40000+ 1 2.40000+ 1 2.43410- 1 3.07970- 4 1.40000+ 1 2.50000+ 1 2.92650- 1 3.24720- 4 1.40000+ 1 2.70000+ 1 2.60955- 2 4.44120- 4 1.40000+ 1 2.90000+ 1 2.86358- 2 5.17830- 4 1.40000+ 1 3.00000+ 1 2.70143- 2 6.04120- 4 1.40000+ 1 3.20000+ 1 9.22663- 3 7.13230- 4 1.40000+ 1 3.30000+ 1 1.37577- 2 7.26040- 4 1.40000+ 1 3.50000+ 1 1.02340- 2 8.44920- 4 1.40000+ 1 3.60000+ 1 1.13381- 2 8.46680- 4 1.40000+ 1 4.10000+ 1 4.99136- 3 7.94820- 4 1.40000+ 1 4.30000+ 1 4.49673- 3 8.16910- 4 1.40000+ 1 4.40000+ 1 3.60855- 3 8.30600- 4 1.40000+ 1 5.80000+ 1 3.91410- 4 8.49990- 4 1.60000+ 1 1.60000+ 1 2.45560- 5 1.52640- 3 1.60000+ 1 1.80000+ 1 2.63524- 4 1.70520- 3 1.60000+ 1 1.90000+ 1 8.17440- 3 2.04220- 3 1.60000+ 1 2.10000+ 1 5.72642- 4 2.32836- 3 1.60000+ 1 2.20000+ 1 7.91113- 4 2.38890- 3 1.60000+ 1 2.40000+ 1 2.75588- 3 2.76737- 3 1.60000+ 1 2.50000+ 1 4.99728- 3 2.78412- 3 1.60000+ 1 2.70000+ 1 1.59488- 5 2.90352- 3 1.60000+ 1 2.90000+ 1 2.88601- 5 2.97723- 3 1.60000+ 1 3.00000+ 1 1.24317- 3 3.06352- 3 1.60000+ 1 3.20000+ 1 9.79758- 5 3.17263- 3 1.60000+ 1 3.30000+ 1 1.33160- 4 3.18544- 3 1.60000+ 1 3.50000+ 1 1.46575- 4 3.30432- 3 1.60000+ 1 3.60000+ 1 2.51127- 4 3.30608- 3 1.60000+ 1 4.10000+ 1 3.29106- 6 3.25422- 3 1.60000+ 1 4.30000+ 1 4.05048- 6 3.27631- 3 1.60000+ 1 4.40000+ 1 1.57207- 4 3.29000- 3 1.60000+ 1 5.80000+ 1 2.53161- 7 3.30939- 3 1.80000+ 1 1.80000+ 1 8.60735- 6 1.88400- 3 1.80000+ 1 1.90000+ 1 1.05531- 2 2.22100- 3 1.80000+ 1 2.10000+ 1 2.74158- 4 2.50716- 3 1.80000+ 1 2.20000+ 1 2.59390- 3 2.56770- 3 1.80000+ 1 2.40000+ 1 1.43391- 3 2.94617- 3 1.80000+ 1 2.50000+ 1 6.62945- 3 2.96292- 3 1.80000+ 1 2.70000+ 1 6.60742- 5 3.08232- 3 1.80000+ 1 2.90000+ 1 7.34160- 6 3.15603- 3 1.80000+ 1 3.00000+ 1 1.65895- 3 3.24232- 3 1.80000+ 1 3.20000+ 1 5.74659- 5 3.35143- 3 1.80000+ 1 3.30000+ 1 4.25051- 4 3.36424- 3 1.80000+ 1 3.50000+ 1 6.50624- 5 3.48312- 3 1.80000+ 1 3.60000+ 1 3.12147- 4 3.48488- 3 1.80000+ 1 4.10000+ 1 1.24050- 5 3.43302- 3 1.80000+ 1 4.30000+ 1 1.26577- 6 3.45511- 3 1.80000+ 1 4.40000+ 1 2.11140- 4 3.46880- 3 1.80000+ 1 5.80000+ 1 1.01261- 6 3.48819- 3 1.90000+ 1 1.90000+ 1 1.28680- 2 2.55800- 3 1.90000+ 1 2.10000+ 1 1.94027- 2 2.84416- 3 1.90000+ 1 2.20000+ 1 2.49166- 2 2.90470- 3 1.90000+ 1 2.40000+ 1 1.88682- 2 3.28317- 3 1.90000+ 1 2.50000+ 1 2.14363- 2 3.29992- 3 1.90000+ 1 2.70000+ 1 2.16789- 3 3.41932- 3 1.90000+ 1 2.90000+ 1 2.61060- 3 3.49303- 3 1.90000+ 1 3.00000+ 1 5.17438- 3 3.57932- 3 1.90000+ 1 3.20000+ 1 3.89048- 3 3.68843- 3 1.90000+ 1 3.30000+ 1 4.98756- 3 3.70124- 3 1.90000+ 1 3.50000+ 1 1.31766- 3 3.82012- 3 1.90000+ 1 3.60000+ 1 1.43180- 3 3.82188- 3 1.90000+ 1 4.10000+ 1 4.25058- 4 3.77002- 3 1.90000+ 1 4.30000+ 1 4.24801- 4 3.79211- 3 1.90000+ 1 4.40000+ 1 6.94671- 4 3.80580- 3 1.90000+ 1 5.80000+ 1 3.34177- 5 3.82519- 3 2.10000+ 1 2.10000+ 1 1.42534- 4 3.13032- 3 2.10000+ 1 2.20000+ 1 3.33154- 3 3.19086- 3 2.10000+ 1 2.40000+ 1 5.63798- 4 3.56933- 3 2.10000+ 1 2.50000+ 1 6.27870- 3 3.58608- 3 2.10000+ 1 2.70000+ 1 7.31644- 5 3.70548- 3 2.10000+ 1 2.90000+ 1 1.11398- 5 3.77919- 3 2.10000+ 1 3.00000+ 1 2.95902- 3 3.86548- 3 2.10000+ 1 3.20000+ 1 4.68365- 5 3.97459- 3 2.10000+ 1 3.30000+ 1 5.75952- 4 3.98740- 3 2.10000+ 1 3.50000+ 1 3.18988- 5 4.10628- 3 2.10000+ 1 3.60000+ 1 2.45570- 4 4.10804- 3 2.10000+ 1 4.10000+ 1 1.24054- 5 4.05618- 3 2.10000+ 1 4.30000+ 1 1.51891- 6 4.07827- 3 2.10000+ 1 4.40000+ 1 3.73928- 4 4.09196- 3 2.10000+ 1 5.80000+ 1 1.01264- 6 4.11135- 3 2.20000+ 1 2.20000+ 1 1.39866- 3 3.25140- 3 2.20000+ 1 2.40000+ 1 4.84943- 3 3.62987- 3 2.20000+ 1 2.50000+ 1 3.91594- 3 3.64662- 3 2.20000+ 1 2.70000+ 1 1.13672- 4 3.76602- 3 2.20000+ 1 2.90000+ 1 2.48855- 4 3.83973- 3 2.20000+ 1 3.00000+ 1 3.74568- 3 3.92602- 3 2.20000+ 1 3.20000+ 1 5.63769- 4 4.03513- 3 2.20000+ 1 3.30000+ 1 4.88587- 4 4.04794- 3 2.20000+ 1 3.50000+ 1 2.55439- 4 4.16682- 3 2.20000+ 1 3.60000+ 1 1.94423- 4 4.16858- 3 2.20000+ 1 4.10000+ 1 1.97453- 5 4.11672- 3 2.20000+ 1 4.30000+ 1 3.34166- 5 4.13881- 3 2.20000+ 1 4.40000+ 1 4.71873- 4 4.15250- 3 2.20000+ 1 5.80000+ 1 1.51884- 6 4.17189- 3 2.40000+ 1 2.40000+ 1 8.73661- 4 4.00834- 3 2.40000+ 1 2.50000+ 1 2.24291- 2 4.02509- 3 2.40000+ 1 2.70000+ 1 2.99486- 4 4.14449- 3 2.40000+ 1 2.90000+ 1 2.79486- 4 4.21820- 3 2.40000+ 1 3.00000+ 1 2.72710- 3 4.30449- 3 2.40000+ 1 3.20000+ 1 1.31128- 4 4.41360- 3 2.40000+ 1 3.30000+ 1 9.06821- 4 4.42641- 3 2.40000+ 1 3.50000+ 1 1.05057- 4 4.54529- 3 2.40000+ 1 3.60000+ 1 1.16919- 3 4.54705- 3 2.40000+ 1 4.10000+ 1 4.98733- 5 4.49519- 3 2.40000+ 1 4.30000+ 1 4.30380- 5 4.51728- 3 2.40000+ 1 4.40000+ 1 3.42283- 4 4.53097- 3 2.40000+ 1 5.80000+ 1 3.79736- 6 4.55036- 3 2.50000+ 1 2.50000+ 1 8.93382- 3 4.04184- 3 2.50000+ 1 2.70000+ 1 5.40502- 4 4.16124- 3 2.50000+ 1 2.90000+ 1 1.25818- 3 4.23495- 3 2.50000+ 1 3.00000+ 1 3.25523- 3 4.32124- 3 2.50000+ 1 3.20000+ 1 1.23840- 3 4.43035- 3 2.50000+ 1 3.30000+ 1 8.02277- 4 4.44316- 3 2.50000+ 1 3.50000+ 1 1.18070- 3 4.56204- 3 2.50000+ 1 3.60000+ 1 9.47593- 4 4.56380- 3 2.50000+ 1 4.10000+ 1 8.88608- 5 4.51194- 3 2.50000+ 1 4.30000+ 1 1.94931- 4 4.53403- 3 2.50000+ 1 4.40000+ 1 4.14683- 4 4.54772- 3 2.50000+ 1 5.80000+ 1 6.83537- 6 4.56711- 3 2.70000+ 1 2.70000+ 1 2.27841- 6 4.28064- 3 2.70000+ 1 2.90000+ 1 8.35418- 6 4.35435- 3 2.70000+ 1 3.00000+ 1 3.31878- 4 4.44064- 3 2.70000+ 1 3.20000+ 1 1.39242- 5 4.54975- 3 2.70000+ 1 3.30000+ 1 2.05068- 5 4.56256- 3 2.70000+ 1 3.50000+ 1 1.54425- 5 4.68144- 3 2.70000+ 1 3.60000+ 1 2.70870- 5 4.68320- 3 2.70000+ 1 4.10000+ 1 7.59463- 7 4.63134- 3 2.70000+ 1 4.30000+ 1 1.26576- 6 4.65343- 3 2.70000+ 1 4.40000+ 1 4.20241- 5 4.66712- 3 2.90000+ 1 2.90000+ 1 5.06305- 7 4.42806- 3 2.90000+ 1 3.00000+ 1 4.12900- 4 4.51435- 3 2.90000+ 1 3.20000+ 1 2.27842- 6 4.62346- 3 2.90000+ 1 3.30000+ 1 4.37964- 5 4.63627- 3 2.90000+ 1 3.50000+ 1 1.51887- 5 4.75515- 3 2.90000+ 1 3.60000+ 1 6.83526- 5 4.75691- 3 2.90000+ 1 4.10000+ 1 1.51887- 6 4.70505- 3 2.90000+ 1 4.40000+ 1 5.26562- 5 4.74083- 3 2.90000+ 1 5.80000+ 1 2.53163- 7 4.76022- 3 3.00000+ 1 3.00000+ 1 4.89110- 4 4.60064- 3 3.00000+ 1 3.20000+ 1 5.96449- 4 4.70975- 3 3.00000+ 1 3.30000+ 1 7.52398- 4 4.72256- 3 3.00000+ 1 3.50000+ 1 1.90628- 4 4.84144- 3 3.00000+ 1 3.60000+ 1 2.14431- 4 4.84320- 3 3.00000+ 1 4.10000+ 1 6.53164- 5 4.79134- 3 3.00000+ 1 4.30000+ 1 6.73410- 5 4.81343- 3 3.00000+ 1 4.40000+ 1 1.29865- 4 4.82712- 3 3.00000+ 1 5.80000+ 1 5.06316- 6 4.84651- 3 3.20000+ 1 3.20000+ 1 4.05046- 6 4.81886- 3 3.20000+ 1 3.30000+ 1 1.06580- 4 4.83167- 3 3.20000+ 1 3.50000+ 1 6.58206- 6 4.95055- 3 3.20000+ 1 3.60000+ 1 5.24030- 5 4.95231- 3 3.20000+ 1 4.10000+ 1 2.27840- 6 4.90045- 3 3.20000+ 1 4.30000+ 1 2.53160- 7 4.92254- 3 3.20000+ 1 4.40000+ 1 7.54396- 5 4.93623- 3 3.20000+ 1 5.80000+ 1 2.53160- 7 4.95562- 3 3.30000+ 1 3.30000+ 1 4.55688- 5 4.84448- 3 3.30000+ 1 3.50000+ 1 5.11387- 5 4.96336- 3 3.30000+ 1 3.60000+ 1 4.07582- 5 4.96512- 3 3.30000+ 1 4.10000+ 1 3.54422- 6 4.91326- 3 3.30000+ 1 4.30000+ 1 5.82278- 6 4.93535- 3 3.30000+ 1 4.40000+ 1 9.49343- 5 4.94904- 3 3.30000+ 1 5.80000+ 1 2.53166- 7 4.96843- 3 3.50000+ 1 3.50000+ 1 3.03796- 6 5.08224- 3 3.50000+ 1 3.60000+ 1 6.55677- 5 5.08400- 3 3.50000+ 1 4.10000+ 1 2.53163- 6 5.03214- 3 3.50000+ 1 4.30000+ 1 2.53163- 6 5.05423- 3 3.50000+ 1 4.40000+ 1 2.37970- 5 5.06792- 3 3.50000+ 1 5.80000+ 1 2.53163- 7 5.08731- 3 3.60000+ 1 3.60000+ 1 2.50628- 5 5.08576- 3 3.60000+ 1 4.10000+ 1 4.30374- 6 5.03390- 3 3.60000+ 1 4.30000+ 1 1.08861- 5 5.05599- 3 3.60000+ 1 4.40000+ 1 2.70873- 5 5.06968- 3 3.60000+ 1 5.80000+ 1 2.53164- 7 5.08907- 3 4.10000+ 1 4.30000+ 1 2.53163- 7 5.00413- 3 4.10000+ 1 4.40000+ 1 8.35424- 6 5.01782- 3 4.30000+ 1 4.40000+ 1 8.60741- 6 5.03991- 3 4.40000+ 1 4.40000+ 1 8.60734- 6 5.05360- 3 4.40000+ 1 5.80000+ 1 7.59467- 7 5.07299- 3 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.70459- 3 2.88230- 3 1.90000+ 1 2.16109- 4 3.21930- 3 2.40000+ 1 5.77168- 2 3.94447- 3 2.90000+ 1 6.37178- 4 4.15433- 3 3.00000+ 1 5.14668- 5 4.24062- 3 3.50000+ 1 4.26729- 3 4.48142- 3 4.30000+ 1 1.06070- 4 4.45341- 3 4.40000+ 1 7.45378- 6 4.46710- 3 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.20000+ 1 4.58113- 2 1.01630- 4 1.40000+ 1 3.30000+ 1 6.56224- 3 1.14440- 4 1.40000+ 1 3.50000+ 1 3.12263- 2 2.33320- 4 1.40000+ 1 3.60000+ 1 3.25163- 3 2.35080- 4 1.40000+ 1 4.10000+ 1 8.85794- 4 1.83220- 4 1.40000+ 1 4.30000+ 1 4.10611- 4 2.05310- 4 1.40000+ 1 4.40000+ 1 7.75463- 4 2.19000- 4 1.40000+ 1 5.80000+ 1 6.83312- 5 2.38390- 4 1.60000+ 1 1.80000+ 1 6.22489- 4 1.09360- 3 1.60000+ 1 1.90000+ 1 6.63875- 4 1.43060- 3 1.60000+ 1 2.10000+ 1 2.59672- 2 1.71676- 3 1.60000+ 1 2.20000+ 1 3.14447- 3 1.77730- 3 1.60000+ 1 2.40000+ 1 1.63799- 2 2.15577- 3 1.60000+ 1 2.50000+ 1 3.43471- 3 2.17252- 3 1.60000+ 1 2.70000+ 1 1.31642- 5 2.29192- 3 1.60000+ 1 2.90000+ 1 1.35404- 4 2.36563- 3 1.60000+ 1 3.00000+ 1 1.05940- 4 2.45192- 3 1.60000+ 1 3.20000+ 1 3.48001- 3 2.56103- 3 1.60000+ 1 3.30000+ 1 4.57633- 4 2.57384- 3 1.60000+ 1 3.50000+ 1 8.13685- 4 2.69272- 3 1.60000+ 1 3.60000+ 1 1.34157- 4 2.69448- 3 1.60000+ 1 4.10000+ 1 3.13439- 6 2.64262- 3 1.60000+ 1 4.30000+ 1 2.13138- 5 2.66471- 3 1.60000+ 1 4.40000+ 1 1.37918- 5 2.67840- 3 1.80000+ 1 1.80000+ 1 2.10013- 4 1.27240- 3 1.80000+ 1 1.90000+ 1 2.81230- 3 1.60940- 3 1.80000+ 1 2.10000+ 1 2.35704- 2 1.89556- 3 1.80000+ 1 2.20000+ 1 1.20048- 3 1.95610- 3 1.80000+ 1 2.40000+ 1 1.33258- 2 2.33457- 3 1.80000+ 1 2.50000+ 1 7.75395- 3 2.35132- 3 1.80000+ 1 2.70000+ 1 7.77331- 5 2.47072- 3 1.80000+ 1 2.90000+ 1 1.00930- 4 2.54443- 3 1.80000+ 1 3.00000+ 1 5.04004- 4 2.63072- 3 1.80000+ 1 3.20000+ 1 3.11611- 3 2.73983- 3 1.80000+ 1 3.30000+ 1 1.94957- 4 2.75264- 3 1.80000+ 1 3.50000+ 1 6.40044- 4 2.87152- 3 1.80000+ 1 3.60000+ 1 3.73631- 4 2.87328- 3 1.80000+ 1 4.10000+ 1 1.37917- 5 2.82142- 3 1.80000+ 1 4.30000+ 1 1.56714- 5 2.84351- 3 1.80000+ 1 4.40000+ 1 6.58222- 5 2.85720- 3 1.80000+ 1 5.80000+ 1 1.25376- 6 2.87659- 3 1.90000+ 1 1.90000+ 1 9.69134- 4 1.94640- 3 1.90000+ 1 2.10000+ 1 4.38522- 2 2.23256- 3 1.90000+ 1 2.20000+ 1 1.66382- 3 2.29310- 3 1.90000+ 1 2.40000+ 1 1.55397- 3 2.67157- 3 1.90000+ 1 2.50000+ 1 1.44312- 3 2.68832- 3 1.90000+ 1 2.70000+ 1 1.29137- 4 2.80772- 3 1.90000+ 1 2.90000+ 1 4.19386- 4 2.88143- 3 1.90000+ 1 3.00000+ 1 3.30986- 4 2.96772- 3 1.90000+ 1 3.20000+ 1 5.87332- 3 3.07683- 3 1.90000+ 1 3.30000+ 1 2.56386- 4 3.08964- 3 1.90000+ 1 3.50000+ 1 5.70461- 5 3.20852- 3 1.90000+ 1 3.60000+ 1 4.88958- 5 3.21028- 3 1.90000+ 1 4.10000+ 1 2.38218- 5 3.15842- 3 1.90000+ 1 4.30000+ 1 6.14332- 5 3.18051- 3 1.90000+ 1 4.40000+ 1 4.32536- 5 3.19420- 3 1.90000+ 1 5.80000+ 1 1.88062- 6 3.21359- 3 2.10000+ 1 2.10000+ 1 4.10714- 2 2.51872- 3 2.10000+ 1 2.20000+ 1 7.95845- 2 2.57926- 3 2.10000+ 1 2.40000+ 1 4.97010- 2 2.95773- 3 2.10000+ 1 2.50000+ 1 5.81608- 2 2.97448- 3 2.10000+ 1 2.70000+ 1 6.15682- 3 3.09388- 3 2.10000+ 1 2.90000+ 1 5.88961- 3 3.16759- 3 2.10000+ 1 3.00000+ 1 1.05641- 2 3.25388- 3 2.10000+ 1 3.20000+ 1 1.38677- 2 3.36299- 3 2.10000+ 1 3.30000+ 1 1.57496- 2 3.37580- 3 2.10000+ 1 3.50000+ 1 3.48174- 3 3.49468- 3 2.10000+ 1 3.60000+ 1 3.96128- 3 3.49644- 3 2.10000+ 1 4.10000+ 1 1.18922- 3 3.44458- 3 2.10000+ 1 4.30000+ 1 9.60375- 4 3.46667- 3 2.10000+ 1 4.40000+ 1 1.45751- 3 3.48036- 3 2.10000+ 1 5.80000+ 1 9.34073- 5 3.49975- 3 2.20000+ 1 2.20000+ 1 1.24557- 3 2.63980- 3 2.20000+ 1 2.40000+ 1 5.98411- 2 3.01827- 3 2.20000+ 1 2.50000+ 1 2.74087- 3 3.03502- 3 2.20000+ 1 2.70000+ 1 3.44787- 4 3.15442- 3 2.20000+ 1 2.90000+ 1 1.55467- 4 3.22813- 3 2.20000+ 1 3.00000+ 1 3.15952- 4 3.31442- 3 2.20000+ 1 3.20000+ 1 1.06757- 2 3.42353- 3 2.20000+ 1 3.30000+ 1 3.97457- 4 3.43634- 3 2.20000+ 1 3.50000+ 1 3.80087- 3 3.55522- 3 2.20000+ 1 3.60000+ 1 1.52963- 4 3.55698- 3 2.20000+ 1 4.10000+ 1 5.76739- 5 3.50512- 3 2.20000+ 1 4.30000+ 1 2.25677- 5 3.52721- 3 2.20000+ 1 4.40000+ 1 4.13741- 5 3.54090- 3 2.20000+ 1 5.80000+ 1 4.38814- 6 3.56029- 3 2.40000+ 1 2.40000+ 1 5.96945- 2 3.39674- 3 2.40000+ 1 2.50000+ 1 1.69955- 1 3.41349- 3 2.40000+ 1 2.70000+ 1 4.19209- 3 3.53289- 3 2.40000+ 1 2.90000+ 1 2.54014- 3 3.60660- 3 2.40000+ 1 3.00000+ 1 3.78631- 4 3.69289- 3 2.40000+ 1 3.20000+ 1 7.37595- 3 3.80200- 3 2.40000+ 1 3.30000+ 1 1.12055- 2 3.81481- 3 2.40000+ 1 3.50000+ 1 7.29254- 3 3.93369- 3 2.40000+ 1 3.60000+ 1 1.08543- 2 3.93545- 3 2.40000+ 1 4.10000+ 1 8.18082- 4 3.88359- 3 2.40000+ 1 4.30000+ 1 4.04343- 4 3.90568- 3 2.40000+ 1 4.40000+ 1 5.26585- 5 3.91937- 3 2.40000+ 1 5.80000+ 1 6.51960- 5 3.93876- 3 2.50000+ 1 2.50000+ 1 3.49054- 3 3.43024- 3 2.50000+ 1 2.70000+ 1 6.03082- 4 3.54964- 3 2.50000+ 1 2.90000+ 1 7.42239- 4 3.62335- 3 2.50000+ 1 3.00000+ 1 3.11578- 4 3.70964- 3 2.50000+ 1 3.20000+ 1 7.05511- 3 3.81875- 3 2.50000+ 1 3.30000+ 1 4.75819- 4 3.83156- 3 2.50000+ 1 3.50000+ 1 9.06978- 3 3.95044- 3 2.50000+ 1 3.60000+ 1 4.06236- 4 3.95220- 3 2.50000+ 1 4.10000+ 1 1.07198- 4 3.90034- 3 2.50000+ 1 4.30000+ 1 1.02189- 4 3.92243- 3 2.50000+ 1 4.40000+ 1 4.20015- 5 3.93612- 3 2.50000+ 1 5.80000+ 1 8.14975- 6 3.95551- 3 2.70000+ 1 2.70000+ 1 1.25381- 6 3.66904- 3 2.70000+ 1 2.90000+ 1 2.00613- 5 3.74275- 3 2.70000+ 1 3.00000+ 1 2.13145- 5 3.82904- 3 2.70000+ 1 3.20000+ 1 8.31275- 4 3.93815- 3 2.70000+ 1 3.30000+ 1 5.64229- 5 3.95096- 3 2.70000+ 1 3.50000+ 1 2.23182- 4 4.06984- 3 2.70000+ 1 3.60000+ 1 3.07174- 5 4.07160- 3 2.70000+ 1 4.10000+ 1 6.26910- 7 4.01974- 3 2.70000+ 1 4.30000+ 1 3.13450- 6 4.04183- 3 2.70000+ 1 4.40000+ 1 2.50750- 6 4.05552- 3 2.90000+ 1 2.90000+ 1 1.25375- 5 3.81646- 3 2.90000+ 1 3.00000+ 1 8.21219- 5 3.90275- 3 2.90000+ 1 3.20000+ 1 7.83596- 4 4.01186- 3 2.90000+ 1 3.30000+ 1 3.00895- 5 4.02467- 3 2.90000+ 1 3.50000+ 1 1.27260- 4 4.14355- 3 2.90000+ 1 3.60000+ 1 3.76114- 5 4.14531- 3 2.90000+ 1 4.10000+ 1 3.76114- 6 4.09345- 3 2.90000+ 1 4.30000+ 1 3.76114- 6 4.11554- 3 2.90000+ 1 4.40000+ 1 1.06577- 5 4.12923- 3 3.00000+ 1 3.00000+ 1 2.88361- 5 3.98904- 3 3.00000+ 1 3.20000+ 1 1.42435- 3 4.09815- 3 3.00000+ 1 3.30000+ 1 5.20311- 5 4.11096- 3 3.00000+ 1 3.50000+ 1 1.69254- 5 4.22984- 3 3.00000+ 1 3.60000+ 1 1.06576- 5 4.23160- 3 3.00000+ 1 4.10000+ 1 3.76111- 6 4.17974- 3 3.00000+ 1 4.30000+ 1 1.19099- 5 4.20183- 3 3.00000+ 1 4.40000+ 1 7.52251- 6 4.21552- 3 3.20000+ 1 3.20000+ 1 1.11526- 3 4.20726- 3 3.20000+ 1 3.30000+ 1 2.12767- 3 4.22007- 3 3.20000+ 1 3.50000+ 1 5.14672- 4 4.33895- 3 3.20000+ 1 3.60000+ 1 4.87723- 4 4.34071- 3 3.20000+ 1 4.10000+ 1 1.60486- 4 4.28885- 3 3.20000+ 1 4.30000+ 1 1.27890- 4 4.31094- 3 3.20000+ 1 4.40000+ 1 1.96844- 4 4.32463- 3 3.20000+ 1 5.80000+ 1 1.25376- 5 4.34402- 3 3.30000+ 1 3.30000+ 1 3.13438- 5 4.23288- 3 3.30000+ 1 3.50000+ 1 7.20912- 4 4.35176- 3 3.30000+ 1 3.60000+ 1 2.69568- 5 4.35352- 3 3.30000+ 1 4.10000+ 1 9.40364- 6 4.30166- 3 3.30000+ 1 4.30000+ 1 4.38814- 6 4.32375- 3 3.30000+ 1 4.40000+ 1 6.89583- 6 4.33744- 3 3.30000+ 1 5.80000+ 1 6.26886- 7 4.35683- 3 3.50000+ 1 3.50000+ 1 2.04365- 4 4.47064- 3 3.50000+ 1 3.60000+ 1 5.93022- 4 4.47240- 3 3.50000+ 1 4.10000+ 1 4.38813- 5 4.42054- 3 3.50000+ 1 4.30000+ 1 2.06870- 5 4.44263- 3 3.50000+ 1 4.40000+ 1 2.50740- 6 4.45632- 3 3.50000+ 1 5.80000+ 1 3.13437- 6 4.47571- 3 3.60000+ 1 3.60000+ 1 1.12832- 5 4.47416- 3 3.60000+ 1 4.10000+ 1 5.64199- 6 4.42230- 3 3.60000+ 1 4.30000+ 1 5.01514- 6 4.44439- 3 3.60000+ 1 4.40000+ 1 1.25374- 6 4.45808- 3 3.60000+ 1 5.80000+ 1 6.26877- 7 4.47747- 3 4.10000+ 1 4.30000+ 1 6.26898- 7 4.39253- 3 4.10000+ 1 4.40000+ 1 6.26898- 7 4.40622- 3 4.30000+ 1 4.30000+ 1 5.68605- 7 4.41462- 3 4.30000+ 1 4.40000+ 1 1.70579- 6 4.42831- 3 4.40000+ 1 4.40000+ 1 6.26888- 7 4.44200- 3 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.67900- 3 2.97520- 3 2.40000+ 1 2.72970- 3 3.70037- 3 2.50000+ 1 5.34969- 2 3.71712- 3 3.00000+ 1 3.97179- 4 3.99652- 3 3.50000+ 1 1.97030- 4 4.23732- 3 3.60000+ 1 3.78859- 3 4.23908- 3 4.40000+ 1 5.75069- 5 4.22300- 3 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 4.96568- 5 6.70700- 4 1.60000+ 1 1.80000+ 1 3.43087- 4 8.49500- 4 1.60000+ 1 1.90000+ 1 1.33629- 3 1.18650- 3 1.60000+ 1 2.10000+ 1 3.12776- 3 1.47266- 3 1.60000+ 1 2.20000+ 1 2.94758- 2 1.53320- 3 1.60000+ 1 2.40000+ 1 3.98166- 3 1.91167- 3 1.60000+ 1 2.50000+ 1 1.73044- 2 1.92842- 3 1.60000+ 1 2.70000+ 1 2.32171- 5 2.04782- 3 1.60000+ 1 2.90000+ 1 3.22447- 5 2.12153- 3 1.60000+ 1 3.00000+ 1 2.19269- 4 2.20782- 3 1.60000+ 1 3.20000+ 1 4.12105- 4 2.31693- 3 1.60000+ 1 3.30000+ 1 3.92243- 3 2.32974- 3 1.60000+ 1 3.50000+ 1 1.50271- 4 2.44862- 3 1.60000+ 1 3.60000+ 1 7.49389- 4 2.45038- 3 1.60000+ 1 4.10000+ 1 5.15932- 6 2.39852- 3 1.60000+ 1 4.30000+ 1 5.15932- 6 2.42061- 3 1.60000+ 1 4.40000+ 1 2.83760- 5 2.43430- 3 1.60000+ 1 5.80000+ 1 6.44915- 7 2.45369- 3 1.80000+ 1 1.80000+ 1 3.09556- 5 1.02830- 3 1.80000+ 1 1.90000+ 1 4.44333- 3 1.36530- 3 1.80000+ 1 2.10000+ 1 2.24425- 4 1.65146- 3 1.80000+ 1 2.20000+ 1 3.00732- 2 1.71200- 3 1.80000+ 1 2.40000+ 1 2.42023- 3 2.09047- 3 1.80000+ 1 2.50000+ 1 1.14526- 2 2.10722- 3 1.80000+ 1 2.70000+ 1 3.99853- 5 2.22662- 3 1.80000+ 1 2.90000+ 1 7.09399- 6 2.30033- 3 1.80000+ 1 3.00000+ 1 7.33907- 4 2.38662- 3 1.80000+ 1 3.20000+ 1 5.80426- 6 2.49573- 3 1.80000+ 1 3.30000+ 1 3.97789- 3 2.50854- 3 1.80000+ 1 3.50000+ 1 1.12223- 4 2.62742- 3 1.80000+ 1 3.60000+ 1 4.92073- 4 2.62918- 3 1.80000+ 1 4.10000+ 1 7.09399- 6 2.57732- 3 1.80000+ 1 4.30000+ 1 1.28984- 6 2.59941- 3 1.80000+ 1 4.40000+ 1 9.41591- 5 2.61310- 3 1.80000+ 1 5.80000+ 1 6.44918- 7 2.63249- 3 1.90000+ 1 1.90000+ 1 2.53969- 3 1.70230- 3 1.90000+ 1 2.10000+ 1 2.63502- 3 1.98846- 3 1.90000+ 1 2.20000+ 1 4.23055- 2 2.04900- 3 1.90000+ 1 2.40000+ 1 1.75867- 3 2.42747- 3 1.90000+ 1 2.50000+ 1 2.54686- 3 2.44422- 3 1.90000+ 1 2.70000+ 1 2.76015- 4 2.56362- 3 1.90000+ 1 2.90000+ 1 5.86877- 4 2.63733- 3 1.90000+ 1 3.00000+ 1 8.53859- 4 2.72362- 3 1.90000+ 1 3.20000+ 1 4.47565- 4 2.83273- 3 1.90000+ 1 3.30000+ 1 5.56177- 3 2.84554- 3 1.90000+ 1 3.50000+ 1 6.57811- 5 2.96442- 3 1.90000+ 1 3.60000+ 1 8.77091- 5 2.96618- 3 1.90000+ 1 4.10000+ 1 5.15935- 5 2.91432- 3 1.90000+ 1 4.30000+ 1 8.51276- 5 2.93641- 3 1.90000+ 1 4.40000+ 1 1.10927- 4 2.95010- 3 1.90000+ 1 5.80000+ 1 3.86931- 6 2.96949- 3 2.10000+ 1 2.10000+ 1 5.88162- 4 2.27462- 3 2.10000+ 1 2.20000+ 1 6.08382- 2 2.33516- 3 2.10000+ 1 2.40000+ 1 2.59127- 3 2.71363- 3 2.10000+ 1 2.50000+ 1 3.59476- 2 2.73038- 3 2.10000+ 1 2.70000+ 1 3.15364- 4 2.84978- 3 2.10000+ 1 2.90000+ 1 6.83605- 5 2.92349- 3 2.10000+ 1 3.00000+ 1 4.47570- 4 3.00978- 3 2.10000+ 1 3.20000+ 1 1.79289- 4 3.11889- 3 2.10000+ 1 3.30000+ 1 8.10855- 3 3.13170- 3 2.10000+ 1 3.50000+ 1 1.59935- 4 3.25058- 3 2.10000+ 1 3.60000+ 1 2.20170- 3 3.25234- 3 2.10000+ 1 4.10000+ 1 5.15941- 5 3.20048- 3 2.10000+ 1 4.30000+ 1 1.03190- 5 3.22257- 3 2.10000+ 1 4.40000+ 1 5.80434- 5 3.23626- 3 2.10000+ 1 5.80000+ 1 3.86936- 6 3.25565- 3 2.20000+ 1 2.20000+ 1 6.65953- 2 2.39570- 3 2.20000+ 1 2.40000+ 1 5.68268- 2 2.77417- 3 2.20000+ 1 2.50000+ 1 9.17941- 2 2.79092- 3 2.20000+ 1 2.70000+ 1 6.57298- 3 2.91032- 3 2.20000+ 1 2.90000+ 1 7.12757- 3 2.98403- 3 2.20000+ 1 3.00000+ 1 1.02851- 2 3.07032- 3 2.20000+ 1 3.20000+ 1 1.20091- 2 3.17943- 3 2.20000+ 1 3.30000+ 1 2.20459- 2 3.19224- 3 2.20000+ 1 3.50000+ 1 3.96367- 3 3.31112- 3 2.20000+ 1 3.60000+ 1 5.94681- 3 3.31288- 3 2.20000+ 1 4.10000+ 1 1.26083- 3 3.26102- 3 2.20000+ 1 4.30000+ 1 1.15056- 3 3.28311- 3 2.20000+ 1 4.40000+ 1 1.42206- 3 3.29680- 3 2.20000+ 1 5.80000+ 1 9.86700- 5 3.31619- 3 2.40000+ 1 2.40000+ 1 5.18036- 3 3.15264- 3 2.40000+ 1 2.50000+ 1 1.64197- 1 3.16939- 3 2.40000+ 1 2.70000+ 1 7.91929- 4 3.28879- 3 2.40000+ 1 2.90000+ 1 5.21705- 4 3.36250- 3 2.40000+ 1 3.00000+ 1 3.61137- 4 3.44879- 3 2.40000+ 1 3.20000+ 1 4.90117- 4 3.55790- 3 2.40000+ 1 3.30000+ 1 7.11895- 3 3.57071- 3 2.40000+ 1 3.50000+ 1 6.30065- 4 3.68959- 3 2.40000+ 1 3.60000+ 1 8.46040- 3 3.69135- 3 2.40000+ 1 4.10000+ 1 1.45103- 4 3.63949- 3 2.40000+ 1 4.30000+ 1 8.31911- 5 3.66158- 3 2.40000+ 1 4.40000+ 1 4.83666- 5 3.67527- 3 2.40000+ 1 5.80000+ 1 1.16079- 5 3.69466- 3 2.50000+ 1 2.50000+ 1 1.11672- 1 3.18614- 3 2.50000+ 1 2.70000+ 1 4.39685- 3 3.30554- 3 2.50000+ 1 2.90000+ 1 2.76725- 3 3.37925- 3 2.50000+ 1 3.00000+ 1 5.71387- 4 3.46554- 3 2.50000+ 1 3.20000+ 1 6.52698- 3 3.57465- 3 2.50000+ 1 3.30000+ 1 1.41144- 2 3.58746- 3 2.50000+ 1 3.50000+ 1 1.05719- 2 3.70634- 3 2.50000+ 1 3.60000+ 1 1.28252- 2 3.70810- 3 2.50000+ 1 4.10000+ 1 8.57055- 4 3.65624- 3 2.50000+ 1 4.30000+ 1 4.50772- 4 3.67833- 3 2.50000+ 1 4.40000+ 1 7.86763- 5 3.69202- 3 2.50000+ 1 5.80000+ 1 6.77125- 5 3.71141- 3 2.70000+ 1 2.90000+ 1 1.28985- 6 3.49865- 3 2.70000+ 1 3.00000+ 1 4.77241- 5 3.58494- 3 2.70000+ 1 3.20000+ 1 4.83682- 5 3.69405- 3 2.70000+ 1 3.30000+ 1 8.80316- 4 3.70686- 3 2.70000+ 1 3.50000+ 1 3.93405- 5 3.82574- 3 2.70000+ 1 3.60000+ 1 2.14755- 4 3.82750- 3 2.70000+ 1 4.40000+ 1 5.80430- 6 3.81142- 3 2.90000+ 1 3.00000+ 1 1.04475- 4 3.65865- 3 2.90000+ 1 3.20000+ 1 4.51421- 6 3.76776- 3 2.90000+ 1 3.30000+ 1 9.59597- 4 3.78057- 3 2.90000+ 1 3.50000+ 1 2.45065- 5 3.89945- 3 2.90000+ 1 3.60000+ 1 1.25762- 4 3.90121- 3 2.90000+ 1 4.40000+ 1 1.35424- 5 3.88513- 3 3.00000+ 1 3.00000+ 1 7.15841- 5 3.74494- 3 3.00000+ 1 3.20000+ 1 8.19029- 5 3.85405- 3 3.00000+ 1 3.30000+ 1 1.35822- 3 3.86686- 3 3.00000+ 1 3.50000+ 1 1.54777- 5 3.98574- 3 3.00000+ 1 3.60000+ 1 2.38610- 5 3.98750- 3 3.00000+ 1 4.10000+ 1 9.02863- 6 3.93564- 3 3.00000+ 1 4.30000+ 1 1.54777- 5 3.95773- 3 3.00000+ 1 4.40000+ 1 1.87021- 5 3.97142- 3 3.00000+ 1 5.80000+ 1 6.44909- 7 3.99081- 3 3.20000+ 1 3.20000+ 1 1.28983- 5 3.96316- 3 3.20000+ 1 3.30000+ 1 1.61228- 3 3.97597- 3 3.20000+ 1 3.50000+ 1 3.09554- 5 4.09485- 3 3.20000+ 1 3.60000+ 1 4.09522- 4 4.09661- 3 3.20000+ 1 4.10000+ 1 8.38376- 6 4.04475- 3 3.20000+ 1 4.30000+ 1 6.44913- 7 4.06684- 3 3.20000+ 1 4.40000+ 1 1.09630- 5 4.08053- 3 3.20000+ 1 5.80000+ 1 6.44913- 7 4.09992- 3 3.30000+ 1 3.30000+ 1 1.74639- 3 3.98878- 3 3.30000+ 1 3.50000+ 1 5.01733- 4 4.10766- 3 3.30000+ 1 3.60000+ 1 9.09311- 4 4.10942- 3 3.30000+ 1 4.10000+ 1 1.68966- 4 4.05756- 3 3.30000+ 1 4.30000+ 1 1.55426- 4 4.07965- 3 3.30000+ 1 4.40000+ 1 1.87671- 4 4.09334- 3 3.30000+ 1 5.80000+ 1 1.28983- 5 4.11273- 3 3.50000+ 1 3.50000+ 1 1.74120- 5 4.22654- 3 3.50000+ 1 3.60000+ 1 5.57199- 4 4.22830- 3 3.50000+ 1 4.10000+ 1 7.73885- 6 4.17644- 3 3.50000+ 1 4.30000+ 1 3.86928- 6 4.19853- 3 3.50000+ 1 4.40000+ 1 1.93473- 6 4.21222- 3 3.50000+ 1 5.80000+ 1 6.44913- 7 4.23161- 3 3.60000+ 1 3.60000+ 1 3.48250- 4 4.23006- 3 3.60000+ 1 4.10000+ 1 4.25634- 5 4.17820- 3 3.60000+ 1 4.30000+ 1 2.06366- 5 4.20029- 3 3.60000+ 1 4.40000+ 1 3.22445- 6 4.21398- 3 3.60000+ 1 5.80000+ 1 3.22445- 6 4.23337- 3 4.10000+ 1 4.40000+ 1 1.28980- 6 4.16212- 3 4.30000+ 1 4.40000+ 1 1.93470- 6 4.18421- 3 4.40000+ 1 4.40000+ 1 1.28980- 6 4.19790- 3 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.27261- 5 1.78800- 4 1.90000+ 1 6.64383- 4 5.15800- 4 2.90000+ 1 4.23432- 4 1.45083- 3 3.00000+ 1 5.43673- 5 1.53712- 3 4.30000+ 1 8.13334- 5 1.74991- 3 4.40000+ 1 1.27651- 5 1.76360- 3 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.20000+ 1 5.65891- 2 3.63300- 5 1.80000+ 1 3.30000+ 1 8.85073- 2 4.91400- 5 1.80000+ 1 3.50000+ 1 2.55161- 2 1.68020- 4 1.80000+ 1 3.60000+ 1 2.71888- 2 1.69780- 4 1.80000+ 1 4.10000+ 1 8.42567- 3 1.17920- 4 1.80000+ 1 4.30000+ 1 6.86040- 3 1.40010- 4 1.80000+ 1 4.40000+ 1 8.32223- 3 1.53700- 4 1.80000+ 1 5.80000+ 1 6.31514- 4 1.73090- 4 1.90000+ 1 2.50000+ 1 1.45640- 2 0.00000+ 0 1.90000+ 1 2.70000+ 1 3.36185- 2 1.04220- 4 1.90000+ 1 2.90000+ 1 4.16566- 2 1.77930- 4 1.90000+ 1 3.00000+ 1 3.17883- 2 2.64220- 4 1.90000+ 1 3.20000+ 1 2.71574- 2 3.73330- 4 1.90000+ 1 3.30000+ 1 3.35624- 2 3.86140- 4 1.90000+ 1 3.50000+ 1 1.88339- 3 5.05020- 4 1.90000+ 1 3.60000+ 1 3.13220- 3 5.06780- 4 1.90000+ 1 4.10000+ 1 6.39435- 3 4.54920- 4 1.90000+ 1 4.30000+ 1 6.46065- 3 4.77010- 4 1.90000+ 1 4.40000+ 1 4.47196- 3 4.90700- 4 1.90000+ 1 5.80000+ 1 4.91421- 4 5.10090- 4 2.10000+ 1 2.40000+ 1 3.15268- 3 2.54230- 4 2.10000+ 1 2.50000+ 1 3.43821- 3 2.70980- 4 2.10000+ 1 2.70000+ 1 1.51278- 2 3.90380- 4 2.10000+ 1 2.90000+ 1 5.58445- 3 4.64090- 4 2.10000+ 1 3.00000+ 1 4.00078- 3 5.50380- 4 2.10000+ 1 3.20000+ 1 1.63011- 3 6.59490- 4 2.10000+ 1 3.30000+ 1 3.56149- 3 6.72300- 4 2.10000+ 1 3.50000+ 1 1.34260- 3 7.91180- 4 2.10000+ 1 3.60000+ 1 1.32984- 3 7.92940- 4 2.10000+ 1 4.10000+ 1 2.08582- 3 7.41080- 4 2.10000+ 1 4.30000+ 1 8.37894- 4 7.63170- 4 2.10000+ 1 4.40000+ 1 4.56218- 4 7.76860- 4 2.10000+ 1 5.80000+ 1 1.56373- 4 7.96250- 4 2.20000+ 1 2.40000+ 1 4.03822- 3 3.14770- 4 2.20000+ 1 2.50000+ 1 5.29512- 3 3.31520- 4 2.20000+ 1 2.70000+ 1 2.08663- 2 4.50920- 4 2.20000+ 1 2.90000+ 1 8.05455- 3 5.24630- 4 2.20000+ 1 3.00000+ 1 5.14136- 3 6.10920- 4 2.20000+ 1 3.20000+ 1 2.77753- 3 7.20030- 4 2.20000+ 1 3.30000+ 1 3.30325- 3 7.32840- 4 2.20000+ 1 3.50000+ 1 1.45154- 3 8.51720- 4 2.20000+ 1 3.60000+ 1 1.94233- 3 8.53480- 4 2.20000+ 1 4.10000+ 1 2.85869- 3 8.01620- 4 2.20000+ 1 4.30000+ 1 1.08485- 3 8.23710- 4 2.20000+ 1 4.40000+ 1 6.53325- 4 8.37400- 4 2.20000+ 1 5.80000+ 1 2.14265- 4 8.56790- 4 2.40000+ 1 2.40000+ 1 8.06673- 3 6.93240- 4 2.40000+ 1 2.50000+ 1 1.49352- 2 7.09990- 4 2.40000+ 1 2.70000+ 1 1.86880- 2 8.29390- 4 2.40000+ 1 2.90000+ 1 2.63127- 3 9.03100- 4 2.40000+ 1 3.00000+ 1 1.28645- 2 9.89390- 4 2.40000+ 1 3.20000+ 1 1.16831- 3 1.09850- 3 2.40000+ 1 3.30000+ 1 7.44966- 4 1.11131- 3 2.40000+ 1 3.50000+ 1 5.40238- 4 1.23019- 3 2.40000+ 1 3.60000+ 1 5.05663- 4 1.23195- 3 2.40000+ 1 4.10000+ 1 2.14765- 3 1.18009- 3 2.40000+ 1 4.30000+ 1 3.13727- 4 1.20218- 3 2.40000+ 1 4.40000+ 1 1.33957- 3 1.21587- 3 2.40000+ 1 5.80000+ 1 1.56616- 4 1.23526- 3 2.50000+ 1 2.50000+ 1 1.32570- 2 7.26740- 4 2.50000+ 1 2.70000+ 1 2.40696- 2 8.46140- 4 2.50000+ 1 2.90000+ 1 1.12451- 3 9.19850- 4 2.50000+ 1 3.00000+ 1 1.30009- 2 1.00614- 3 2.50000+ 1 3.20000+ 1 6.52240- 4 1.11525- 3 2.50000+ 1 3.30000+ 1 1.63645- 3 1.12806- 3 2.50000+ 1 3.50000+ 1 5.39647- 4 1.24694- 3 2.50000+ 1 3.60000+ 1 8.65266- 4 1.24870- 3 2.50000+ 1 4.10000+ 1 2.75102- 3 1.19684- 3 2.50000+ 1 4.30000+ 1 1.30246- 4 1.21893- 3 2.50000+ 1 4.40000+ 1 1.29300- 3 1.23262- 3 2.50000+ 1 5.80000+ 1 2.00518- 4 1.25201- 3 2.70000+ 1 2.70000+ 1 1.81376- 2 9.65540- 4 2.70000+ 1 2.90000+ 1 2.74858- 2 1.03925- 3 2.70000+ 1 3.00000+ 1 4.16507- 2 1.12554- 3 2.70000+ 1 3.20000+ 1 4.37475- 2 1.23465- 3 2.70000+ 1 3.30000+ 1 5.97990- 2 1.24746- 3 2.70000+ 1 3.50000+ 1 2.13277- 2 1.36634- 3 2.70000+ 1 3.60000+ 1 2.61405- 2 1.36810- 3 2.70000+ 1 4.10000+ 1 5.75017- 3 1.31624- 3 2.70000+ 1 4.30000+ 1 4.49235- 3 1.33833- 3 2.70000+ 1 4.40000+ 1 5.71843- 3 1.35202- 3 2.70000+ 1 5.80000+ 1 4.41642- 4 1.37141- 3 2.90000+ 1 2.90000+ 1 2.07050- 3 1.11296- 3 2.90000+ 1 3.00000+ 1 9.92279- 3 1.19925- 3 2.90000+ 1 3.20000+ 1 3.87420- 3 1.30836- 3 2.90000+ 1 3.30000+ 1 2.55268- 3 1.32117- 3 2.90000+ 1 3.50000+ 1 1.12186- 3 1.44005- 3 2.90000+ 1 3.60000+ 1 6.25387- 4 1.44181- 3 2.90000+ 1 4.10000+ 1 3.22595- 3 1.38995- 3 2.90000+ 1 4.30000+ 1 5.38826- 4 1.41204- 3 2.90000+ 1 4.40000+ 1 1.00523- 3 1.42573- 3 2.90000+ 1 5.80000+ 1 2.36723- 4 1.44512- 3 3.00000+ 1 3.00000+ 1 4.59315- 3 1.28554- 3 3.00000+ 1 3.20000+ 1 1.87433- 3 1.39465- 3 3.00000+ 1 3.30000+ 1 5.71139- 3 1.40746- 3 3.00000+ 1 3.50000+ 1 6.13008- 3 1.52634- 3 3.00000+ 1 3.60000+ 1 7.47980- 3 1.52810- 3 3.00000+ 1 4.10000+ 1 5.12312- 3 1.47624- 3 3.00000+ 1 4.30000+ 1 1.44163- 3 1.49833- 3 3.00000+ 1 4.40000+ 1 1.10062- 3 1.51202- 3 3.00000+ 1 5.80000+ 1 3.78060- 4 1.53141- 3 3.20000+ 1 3.20000+ 1 1.10761- 3 1.50376- 3 3.20000+ 1 3.30000+ 1 3.83160- 3 1.51657- 3 3.20000+ 1 3.50000+ 1 5.22900- 4 1.63545- 3 3.20000+ 1 3.60000+ 1 3.74517- 4 1.63721- 3 3.20000+ 1 4.10000+ 1 5.21137- 3 1.58535- 3 3.20000+ 1 4.30000+ 1 4.82268- 4 1.60744- 3 3.20000+ 1 4.40000+ 1 1.55461- 4 1.62113- 3 3.20000+ 1 5.80000+ 1 3.83335- 4 1.64052- 3 3.30000+ 1 3.30000+ 1 2.30008- 3 1.52938- 3 3.30000+ 1 3.50000+ 1 4.09862- 4 1.64826- 3 3.30000+ 1 3.60000+ 1 7.57857- 4 1.65002- 3 3.30000+ 1 4.10000+ 1 7.10525- 3 1.59816- 3 3.30000+ 1 4.30000+ 1 2.75596- 4 1.62025- 3 3.30000+ 1 4.40000+ 1 6.11258- 4 1.63394- 3 3.30000+ 1 5.80000+ 1 5.21161- 4 1.65333- 3 3.50000+ 1 3.50000+ 1 6.88959- 5 1.76714- 3 3.50000+ 1 3.60000+ 1 1.28966- 4 1.76890- 3 3.50000+ 1 4.10000+ 1 2.42026- 3 1.71704- 3 3.50000+ 1 4.30000+ 1 1.27195- 4 1.73913- 3 3.50000+ 1 4.40000+ 1 6.69547- 4 1.75282- 3 3.50000+ 1 5.80000+ 1 1.76658- 4 1.77221- 3 3.60000+ 1 3.60000+ 1 1.07763- 4 1.77066- 3 3.60000+ 1 4.10000+ 1 2.95731- 3 1.71880- 3 3.60000+ 1 4.30000+ 1 6.53645- 5 1.74089- 3 3.60000+ 1 4.40000+ 1 8.05570- 4 1.75458- 3 3.60000+ 1 5.80000+ 1 2.15516- 4 1.77397- 3 4.10000+ 1 4.10000+ 1 4.16920- 4 1.66694- 3 4.10000+ 1 4.30000+ 1 5.29981- 4 1.68903- 3 4.10000+ 1 4.40000+ 1 6.90710- 4 1.70272- 3 4.10000+ 1 5.80000+ 1 6.35981- 5 1.72211- 3 4.30000+ 1 4.30000+ 1 3.35651- 5 1.71112- 3 4.30000+ 1 4.40000+ 1 1.43100- 4 1.72481- 3 4.30000+ 1 5.80000+ 1 3.88658- 5 1.74420- 3 4.40000+ 1 4.40000+ 1 6.18298- 5 1.73850- 3 4.40000+ 1 5.80000+ 1 5.12308- 5 1.75789- 3 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.12920- 3 6.23160- 4 2.70000+ 1 2.52200- 4 1.19832- 3 3.20000+ 1 5.93410- 5 1.46743- 3 4.10000+ 1 5.18540- 5 1.54902- 3 5.80000+ 1 4.31470- 6 1.60419- 3 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 8.76196- 3 0.00000+ 0 1.90000+ 1 3.00000+ 1 1.13378- 2 8.54200- 5 1.90000+ 1 3.20000+ 1 7.27579- 3 1.94530- 4 1.90000+ 1 3.30000+ 1 1.02495- 2 2.07340- 4 1.90000+ 1 3.50000+ 1 2.05330- 3 3.26220- 4 1.90000+ 1 3.60000+ 1 2.96992- 3 3.27980- 4 1.90000+ 1 4.10000+ 1 1.48968- 3 2.76120- 4 1.90000+ 1 4.30000+ 1 1.74546- 3 2.98210- 4 1.90000+ 1 4.40000+ 1 1.26679- 3 3.11900- 4 1.90000+ 1 5.80000+ 1 1.12765- 4 3.31290- 4 2.10000+ 1 2.40000+ 1 5.78433- 2 7.54300- 5 2.10000+ 1 2.50000+ 1 1.72633- 1 9.21800- 5 2.10000+ 1 2.70000+ 1 2.51561- 2 2.11580- 4 2.10000+ 1 2.90000+ 1 2.10073- 2 2.85290- 4 2.10000+ 1 3.00000+ 1 2.26173- 2 3.71580- 4 2.10000+ 1 3.20000+ 1 1.22505- 2 4.80690- 4 2.10000+ 1 3.30000+ 1 1.70036- 2 4.93500- 4 2.10000+ 1 3.50000+ 1 2.34923- 3 6.12380- 4 2.10000+ 1 3.60000+ 1 4.36448- 3 6.14140- 4 2.10000+ 1 4.10000+ 1 4.84159- 3 5.62280- 4 2.10000+ 1 4.30000+ 1 3.18958- 3 5.84370- 4 2.10000+ 1 4.40000+ 1 3.09219- 3 5.98060- 4 2.10000+ 1 5.80000+ 1 3.81868- 4 6.17450- 4 2.20000+ 1 2.40000+ 1 3.85820- 2 1.35970- 4 2.20000+ 1 2.50000+ 1 9.52944- 3 1.52720- 4 2.20000+ 1 2.70000+ 1 3.89555- 3 2.72120- 4 2.20000+ 1 2.90000+ 1 1.72817- 2 3.45830- 4 2.20000+ 1 3.00000+ 1 3.07511- 3 4.32120- 4 2.20000+ 1 3.20000+ 1 1.50032- 3 5.41230- 4 2.20000+ 1 3.30000+ 1 1.73505- 3 5.54040- 4 2.20000+ 1 3.50000+ 1 5.71846- 4 6.72920- 4 2.20000+ 1 3.60000+ 1 3.85073- 4 6.74680- 4 2.20000+ 1 4.10000+ 1 5.70879- 4 6.22820- 4 2.20000+ 1 4.30000+ 1 1.78768- 3 6.44910- 4 2.20000+ 1 4.40000+ 1 3.17076- 4 6.58600- 4 2.20000+ 1 5.80000+ 1 4.32067- 5 6.77990- 4 2.40000+ 1 2.40000+ 1 1.55179- 3 5.14440- 4 2.40000+ 1 2.50000+ 1 7.63955- 3 5.31190- 4 2.40000+ 1 2.70000+ 1 4.07400- 3 6.50590- 4 2.40000+ 1 2.90000+ 1 1.51640- 2 7.24300- 4 2.40000+ 1 3.00000+ 1 1.53075- 3 8.10590- 4 2.40000+ 1 3.20000+ 1 4.84124- 3 9.19700- 4 2.40000+ 1 3.30000+ 1 4.31573- 3 9.32510- 4 2.40000+ 1 3.50000+ 1 7.08146- 4 1.05139- 3 2.40000+ 1 3.60000+ 1 4.99889- 4 1.05315- 3 2.40000+ 1 4.10000+ 1 7.88471- 4 1.00129- 3 2.40000+ 1 4.30000+ 1 1.60621- 3 1.02338- 3 2.40000+ 1 4.40000+ 1 1.82707- 4 1.03707- 3 2.40000+ 1 5.80000+ 1 6.15210- 5 1.05646- 3 2.50000+ 1 2.50000+ 1 4.22383- 4 5.47940- 4 2.50000+ 1 2.70000+ 1 2.18391- 3 6.67340- 4 2.50000+ 1 2.90000+ 1 2.29674- 2 7.41050- 4 2.50000+ 1 3.00000+ 1 1.19895- 3 8.27340- 4 2.50000+ 1 3.20000+ 1 1.04604- 2 9.36450- 4 2.50000+ 1 3.30000+ 1 1.02320- 3 9.49260- 4 2.50000+ 1 3.50000+ 1 1.35145- 4 1.06814- 3 2.50000+ 1 3.60000+ 1 8.97069- 5 1.06990- 3 2.50000+ 1 4.10000+ 1 3.08254- 4 1.01804- 3 2.50000+ 1 4.30000+ 1 2.31912- 3 1.04013- 3 2.50000+ 1 4.40000+ 1 1.36498- 4 1.05382- 3 2.50000+ 1 5.80000+ 1 2.30565- 5 1.07321- 3 2.70000+ 1 2.70000+ 1 2.66720- 3 7.86740- 4 2.70000+ 1 2.90000+ 1 3.40844- 2 8.60450- 4 2.70000+ 1 3.00000+ 1 6.44253- 3 9.46740- 4 2.70000+ 1 3.20000+ 1 8.88284- 3 1.05585- 3 2.70000+ 1 3.30000+ 1 5.87367- 3 1.06866- 3 2.70000+ 1 3.50000+ 1 7.53366- 4 1.18754- 3 2.70000+ 1 3.60000+ 1 1.56128- 3 1.18930- 3 2.70000+ 1 4.10000+ 1 7.84861- 4 1.13744- 3 2.70000+ 1 4.30000+ 1 3.42698- 3 1.15953- 3 2.70000+ 1 4.40000+ 1 7.91112- 4 1.17322- 3 2.70000+ 1 5.80000+ 1 5.87580- 5 1.19261- 3 2.90000+ 1 2.90000+ 1 2.36289- 2 9.34160- 4 2.90000+ 1 3.00000+ 1 5.99732- 2 1.02045- 3 2.90000+ 1 3.20000+ 1 5.02470- 2 1.12956- 3 2.90000+ 1 3.30000+ 1 8.31513- 2 1.14237- 3 2.90000+ 1 3.50000+ 1 2.69788- 2 1.26125- 3 2.90000+ 1 3.60000+ 1 3.59271- 2 1.26301- 3 2.90000+ 1 4.10000+ 1 6.75309- 3 1.21115- 3 2.90000+ 1 4.30000+ 1 6.33744- 3 1.23324- 3 2.90000+ 1 4.40000+ 1 8.27192- 3 1.24693- 3 2.90000+ 1 5.80000+ 1 5.30919- 4 1.26632- 3 3.00000+ 1 3.00000+ 1 1.70600- 3 1.10674- 3 3.00000+ 1 3.20000+ 1 8.30841- 3 1.21585- 3 3.00000+ 1 3.30000+ 1 3.92840- 3 1.22866- 3 3.00000+ 1 3.50000+ 1 7.84877- 4 1.34754- 3 3.00000+ 1 3.60000+ 1 1.22556- 3 1.34930- 3 3.00000+ 1 4.10000+ 1 8.68785- 4 1.29744- 3 3.00000+ 1 4.30000+ 1 6.15517- 3 1.31953- 3 3.00000+ 1 4.40000+ 1 3.98729- 4 1.33322- 3 3.00000+ 1 5.80000+ 1 6.50544- 5 1.35261- 3 3.20000+ 1 3.20000+ 1 3.16863- 3 1.32496- 3 3.20000+ 1 3.30000+ 1 4.52230- 3 1.33777- 3 3.20000+ 1 3.50000+ 1 4.87482- 3 1.45665- 3 3.20000+ 1 3.60000+ 1 7.89489- 3 1.45841- 3 3.20000+ 1 4.10000+ 1 1.57179- 3 1.40655- 3 3.20000+ 1 4.30000+ 1 5.29661- 3 1.42864- 3 3.20000+ 1 4.40000+ 1 1.11224- 3 1.44233- 3 3.20000+ 1 5.80000+ 1 1.21711- 4 1.46172- 3 3.30000+ 1 3.30000+ 1 7.76458- 4 1.35058- 3 3.30000+ 1 3.50000+ 1 1.14371- 3 1.46946- 3 3.30000+ 1 3.60000+ 1 6.63136- 4 1.47122- 3 3.30000+ 1 4.10000+ 1 7.11405- 4 1.41936- 3 3.30000+ 1 4.30000+ 1 8.63522- 3 1.44145- 3 3.30000+ 1 4.40000+ 1 4.38595- 4 1.45514- 3 3.30000+ 1 5.80000+ 1 5.24633- 5 1.47453- 3 3.50000+ 1 3.50000+ 1 1.42700- 4 1.58834- 3 3.50000+ 1 3.60000+ 1 2.22438- 4 1.59010- 3 3.50000+ 1 4.10000+ 1 1.32215- 4 1.53824- 3 3.50000+ 1 4.30000+ 1 2.67561- 3 1.56033- 3 3.50000+ 1 4.40000+ 1 9.02400- 5 1.57402- 3 3.50000+ 1 5.80000+ 1 1.04924- 5 1.59341- 3 3.60000+ 1 3.60000+ 1 5.45620- 5 1.59186- 3 3.60000+ 1 4.10000+ 1 2.11952- 4 1.54000- 3 3.60000+ 1 4.30000+ 1 3.57808- 3 1.56209- 3 3.60000+ 1 4.40000+ 1 1.30110- 4 1.57578- 3 3.60000+ 1 5.80000+ 1 1.67894- 5 1.59517- 3 4.10000+ 1 4.10000+ 1 5.87579- 5 1.48814- 3 4.10000+ 1 4.30000+ 1 6.84114- 4 1.51023- 3 4.10000+ 1 4.40000+ 1 1.04924- 4 1.52392- 3 4.10000+ 1 5.80000+ 1 8.39391- 6 1.54331- 3 4.30000+ 1 4.30000+ 1 3.94526- 4 1.53232- 3 4.30000+ 1 4.40000+ 1 8.49909- 4 1.54601- 3 4.30000+ 1 5.80000+ 1 5.45635- 5 1.56540- 3 4.40000+ 1 4.40000+ 1 2.30841- 5 1.55970- 3 4.40000+ 1 5.80000+ 1 8.39390- 6 1.57909- 3 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.10910- 5 2.86160- 4 2.20000+ 1 1.86100- 4 3.46700- 4 2.70000+ 1 3.39320- 4 8.61320- 4 3.20000+ 1 4.06020- 5 1.13043- 3 3.30000+ 1 2.34140- 4 1.14324- 3 4.10000+ 1 6.64249- 5 1.21202- 3 5.80000+ 1 5.49940- 6 1.26719- 3 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.00000+ 1 4.68070- 2 3.45800- 5 2.10000+ 1 3.20000+ 1 1.80561- 2 1.43690- 4 2.10000+ 1 3.30000+ 1 2.65921- 2 1.56500- 4 2.10000+ 1 3.50000+ 1 3.97448- 3 2.75380- 4 2.10000+ 1 3.60000+ 1 3.56813- 3 2.77140- 4 2.10000+ 1 4.10000+ 1 3.86260- 3 2.25280- 4 2.10000+ 1 4.30000+ 1 2.78441- 3 2.47370- 4 2.10000+ 1 4.40000+ 1 5.46843- 3 2.61060- 4 2.10000+ 1 5.80000+ 1 2.96598- 4 2.80450- 4 2.20000+ 1 2.90000+ 1 1.31191- 1 8.83000- 6 2.20000+ 1 3.00000+ 1 1.26681- 1 9.51200- 5 2.20000+ 1 3.20000+ 1 1.15152- 1 2.04230- 4 2.20000+ 1 3.30000+ 1 1.37060- 1 2.17040- 4 2.20000+ 1 3.50000+ 1 1.17452- 2 3.35920- 4 2.20000+ 1 3.60000+ 1 1.44520- 2 3.37680- 4 2.20000+ 1 4.10000+ 1 2.19345- 2 2.85820- 4 2.20000+ 1 4.30000+ 1 1.94787- 2 3.07910- 4 2.20000+ 1 4.40000+ 1 1.62319- 2 3.21600- 4 2.20000+ 1 5.80000+ 1 1.68238- 3 3.40990- 4 2.40000+ 1 2.40000+ 1 1.05232- 3 1.77440- 4 2.40000+ 1 2.50000+ 1 2.09515- 3 1.94190- 4 2.40000+ 1 2.70000+ 1 1.01033- 2 3.13590- 4 2.40000+ 1 2.90000+ 1 4.98694- 3 3.87300- 4 2.40000+ 1 3.00000+ 1 5.19603- 2 4.73590- 4 2.40000+ 1 3.20000+ 1 2.12645- 3 5.82700- 4 2.40000+ 1 3.30000+ 1 7.39527- 3 5.95510- 4 2.40000+ 1 3.50000+ 1 9.08654- 4 7.14390- 4 2.40000+ 1 3.60000+ 1 9.14924- 4 7.16150- 4 2.40000+ 1 4.10000+ 1 1.16521- 3 6.64290- 4 2.40000+ 1 4.30000+ 1 6.73451- 4 6.86380- 4 2.40000+ 1 4.40000+ 1 4.76585- 3 7.00070- 4 2.40000+ 1 5.80000+ 1 8.51938- 5 7.19460- 4 2.50000+ 1 2.50000+ 1 3.20857- 3 2.10940- 4 2.50000+ 1 2.70000+ 1 2.38571- 2 3.30340- 4 2.50000+ 1 2.90000+ 1 1.80063- 2 4.04050- 4 2.50000+ 1 3.00000+ 1 6.29965- 2 4.90340- 4 2.50000+ 1 3.20000+ 1 1.56723- 3 5.99450- 4 2.50000+ 1 3.30000+ 1 1.07585- 2 6.12260- 4 2.50000+ 1 3.50000+ 1 3.77085- 3 7.31140- 4 2.50000+ 1 3.60000+ 1 4.52582- 3 7.32900- 4 2.50000+ 1 4.10000+ 1 3.36946- 3 6.81040- 4 2.50000+ 1 4.30000+ 1 2.56929- 3 7.03130- 4 2.50000+ 1 4.40000+ 1 5.83657- 3 7.16820- 4 2.50000+ 1 5.80000+ 1 2.53759- 4 7.36210- 4 2.70000+ 1 2.70000+ 1 8.04900- 5 4.49740- 4 2.70000+ 1 2.90000+ 1 2.91898- 4 5.23450- 4 2.70000+ 1 3.00000+ 1 4.95503- 3 6.09740- 4 2.70000+ 1 3.20000+ 1 4.53416- 4 7.18850- 4 2.70000+ 1 3.30000+ 1 7.44524- 4 7.31660- 4 2.70000+ 1 3.50000+ 1 2.65509- 4 8.50540- 4 2.70000+ 1 3.60000+ 1 2.70739- 4 8.52300- 4 2.70000+ 1 4.10000+ 1 2.97917- 5 8.00440- 4 2.70000+ 1 4.30000+ 1 3.13596- 5 8.22530- 4 2.70000+ 1 4.40000+ 1 4.34587- 4 8.36220- 4 2.70000+ 1 5.80000+ 1 2.35202- 6 8.55610- 4 2.90000+ 1 2.90000+ 1 9.93064- 6 5.97160- 4 2.90000+ 1 3.00000+ 1 5.74962- 3 6.83450- 4 2.90000+ 1 3.20000+ 1 2.64202- 4 7.92560- 4 2.90000+ 1 3.30000+ 1 6.94624- 4 8.05370- 4 2.90000+ 1 3.50000+ 1 2.10106- 4 9.24250- 4 2.90000+ 1 3.60000+ 1 4.89207- 4 9.26010- 4 2.90000+ 1 4.10000+ 1 4.93927- 5 8.74150- 4 2.90000+ 1 4.30000+ 1 8.62393- 6 8.96240- 4 2.90000+ 1 4.40000+ 1 5.17966- 4 9.09930- 4 2.90000+ 1 5.80000+ 1 3.92004- 6 9.29320- 4 3.00000+ 1 3.00000+ 1 7.12236- 3 7.69740- 4 3.00000+ 1 3.20000+ 1 8.78883- 3 8.78850- 4 3.00000+ 1 3.30000+ 1 1.16141- 2 8.91660- 4 3.00000+ 1 3.50000+ 1 4.41206- 3 1.01054- 3 3.00000+ 1 3.60000+ 1 5.21010- 3 1.01230- 3 3.00000+ 1 4.10000+ 1 9.86035- 4 9.60440- 4 3.00000+ 1 4.30000+ 1 9.10741- 4 9.82530- 4 3.00000+ 1 4.40000+ 1 1.62738- 3 9.96220- 4 3.00000+ 1 5.80000+ 1 7.73541- 5 1.01561- 3 3.20000+ 1 3.20000+ 1 1.71960- 4 9.87960- 4 3.20000+ 1 3.30000+ 1 1.03154- 3 1.00077- 3 3.20000+ 1 3.50000+ 1 9.82602- 5 1.11965- 3 3.20000+ 1 3.60000+ 1 2.01228- 4 1.12141- 3 3.20000+ 1 4.10000+ 1 6.11524- 5 1.06955- 3 3.20000+ 1 4.30000+ 1 4.33824- 5 1.09164- 3 3.20000+ 1 4.40000+ 1 8.00472- 4 1.10533- 3 3.20000+ 1 5.80000+ 1 4.70402- 6 1.12472- 3 3.30000+ 1 3.30000+ 1 9.80772- 4 1.01358- 3 3.30000+ 1 3.50000+ 1 3.35557- 4 1.13246- 3 3.30000+ 1 3.60000+ 1 4.53149- 4 1.13422- 3 3.30000+ 1 4.10000+ 1 1.42160- 4 1.08236- 3 3.30000+ 1 4.30000+ 1 1.17602- 4 1.10445- 3 3.30000+ 1 4.40000+ 1 1.07062- 3 1.11814- 3 3.30000+ 1 5.80000+ 1 1.12382- 5 1.13753- 3 3.50000+ 1 3.50000+ 1 1.01922- 5 1.25134- 3 3.50000+ 1 3.60000+ 1 5.17440- 5 1.25310- 3 3.50000+ 1 4.10000+ 1 3.29274- 5 1.20124- 3 3.50000+ 1 4.30000+ 1 1.07141- 5 1.22333- 3 3.50000+ 1 4.40000+ 1 3.87550- 4 1.23702- 3 3.50000+ 1 5.80000+ 1 2.35202- 6 1.25641- 3 3.60000+ 1 3.60000+ 1 3.26659- 5 1.25486- 3 3.60000+ 1 4.10000+ 1 3.47577- 5 1.20300- 3 3.60000+ 1 4.30000+ 1 2.58723- 5 1.22509- 3 3.60000+ 1 4.40000+ 1 4.55250- 4 1.23878- 3 3.60000+ 1 5.80000+ 1 2.61343- 6 1.25817- 3 4.10000+ 1 4.10000+ 1 7.83992- 7 1.15114- 3 4.10000+ 1 4.30000+ 1 3.39725- 6 1.17323- 3 4.10000+ 1 4.40000+ 1 8.67627- 5 1.18692- 3 4.30000+ 1 4.30000+ 1 2.61342- 7 1.19532- 3 4.30000+ 1 4.40000+ 1 8.17973- 5 1.20901- 3 4.30000+ 1 5.80000+ 1 2.61342- 7 1.22840- 3 4.40000+ 1 4.40000+ 1 8.78083- 5 1.22270- 3 4.40000+ 1 5.80000+ 1 6.79466- 6 1.24209- 3 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.92220- 4 4.39010- 4 2.90000+ 1 2.23160- 4 6.48870- 4 3.00000+ 1 2.32420- 5 7.35160- 4 3.50000+ 1 1.47750- 4 9.75960- 4 4.30000+ 1 3.63310- 5 9.47950- 4 4.40000+ 1 3.34580- 6 9.61640- 4 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.50000+ 1 4.51414- 3 4.97600- 5 2.20000+ 1 3.60000+ 1 5.59998- 3 5.15200- 5 2.20000+ 1 4.10000+ 1 2.64845- 3 0.00000+ 0 2.20000+ 1 4.30000+ 1 1.21483- 3 2.17500- 5 2.20000+ 1 4.40000+ 1 2.52975- 3 3.54400- 5 2.20000+ 1 5.80000+ 1 1.58851- 4 5.48300- 5 2.40000+ 1 2.70000+ 1 1.21445- 1 2.74300- 5 2.40000+ 1 2.90000+ 1 1.11045- 1 1.01140- 4 2.40000+ 1 3.00000+ 1 1.21555- 1 1.87430- 4 2.40000+ 1 3.20000+ 1 1.25985- 1 2.96540- 4 2.40000+ 1 3.30000+ 1 1.30484- 1 3.09350- 4 2.40000+ 1 3.50000+ 1 8.41511- 3 4.28230- 4 2.40000+ 1 3.60000+ 1 7.00447- 3 4.29990- 4 2.40000+ 1 4.10000+ 1 2.36749- 2 3.78130- 4 2.40000+ 1 4.30000+ 1 1.77802- 2 4.00220- 4 2.40000+ 1 4.40000+ 1 1.63362- 2 4.13910- 4 2.40000+ 1 5.80000+ 1 1.87702- 3 4.33300- 4 2.50000+ 1 2.70000+ 1 8.32633- 3 4.41800- 5 2.50000+ 1 2.90000+ 1 1.83638- 2 1.17890- 4 2.50000+ 1 3.00000+ 1 7.97366- 3 2.04180- 4 2.50000+ 1 3.20000+ 1 1.33151- 1 3.13290- 4 2.50000+ 1 3.30000+ 1 5.52552- 3 3.26100- 4 2.50000+ 1 3.50000+ 1 2.10625- 3 4.44980- 4 2.50000+ 1 3.60000+ 1 7.41939- 4 4.46740- 4 2.50000+ 1 4.10000+ 1 1.16332- 3 3.94880- 4 2.50000+ 1 4.30000+ 1 1.77288- 3 4.16970- 4 2.50000+ 1 4.40000+ 1 7.97456- 4 4.30660- 4 2.50000+ 1 5.80000+ 1 8.83349- 5 4.50050- 4 2.70000+ 1 2.70000+ 1 8.53392- 4 1.63580- 4 2.70000+ 1 2.90000+ 1 2.14841- 3 2.37290- 4 2.70000+ 1 3.00000+ 1 1.45713- 3 3.23580- 4 2.70000+ 1 3.20000+ 1 1.18305- 2 4.32690- 4 2.70000+ 1 3.30000+ 1 1.57953- 3 4.45500- 4 2.70000+ 1 3.50000+ 1 2.05852- 3 5.64380- 4 2.70000+ 1 3.60000+ 1 1.71072- 3 5.66140- 4 2.70000+ 1 4.10000+ 1 1.96121- 4 5.14280- 4 2.70000+ 1 4.30000+ 1 2.22870- 4 5.36370- 4 2.70000+ 1 4.40000+ 1 1.59253- 4 5.50060- 4 2.70000+ 1 5.80000+ 1 1.45873- 5 5.69450- 4 2.90000+ 1 2.90000+ 1 5.77020- 4 3.11000- 4 2.90000+ 1 3.00000+ 1 1.88218- 3 3.97290- 4 2.90000+ 1 3.20000+ 1 8.77511- 3 5.06400- 4 2.90000+ 1 3.30000+ 1 9.04839- 4 5.19210- 4 2.90000+ 1 3.50000+ 1 2.73911- 4 6.38090- 4 2.90000+ 1 3.60000+ 1 2.54463- 4 6.39850- 4 2.90000+ 1 4.10000+ 1 1.67348- 4 5.87990- 4 2.90000+ 1 4.30000+ 1 1.26022- 4 6.10080- 4 2.90000+ 1 4.40000+ 1 1.51149- 4 6.23770- 4 2.90000+ 1 5.80000+ 1 1.29672- 5 6.43160- 4 3.00000+ 1 3.00000+ 1 6.19976- 4 4.83580- 4 3.00000+ 1 3.20000+ 1 1.75604- 2 5.92690- 4 3.00000+ 1 3.30000+ 1 1.47334- 3 6.05500- 4 3.00000+ 1 3.50000+ 1 7.59381- 4 7.24380- 4 3.00000+ 1 3.60000+ 1 4.38853- 4 7.26140- 4 3.00000+ 1 4.10000+ 1 6.92924- 5 6.74280- 4 3.00000+ 1 4.30000+ 1 1.33315- 4 6.96370- 4 3.00000+ 1 4.40000+ 1 1.06576- 4 7.10060- 4 3.00000+ 1 5.80000+ 1 4.86271- 6 7.29450- 4 3.20000+ 1 3.20000+ 1 1.15875- 2 7.01800- 4 3.20000+ 1 3.30000+ 1 2.24070- 2 7.14610- 4 3.20000+ 1 3.50000+ 1 7.63108- 3 8.33490- 4 3.20000+ 1 3.60000+ 1 1.02785- 2 8.35250- 4 3.20000+ 1 4.10000+ 1 1.88103- 3 7.83390- 4 3.20000+ 1 4.30000+ 1 1.42564- 3 8.05480- 4 3.20000+ 1 4.40000+ 1 2.30900- 3 8.19170- 4 3.20000+ 1 5.80000+ 1 1.46283- 4 8.38560- 4 3.30000+ 1 3.30000+ 1 3.74829- 4 7.27420- 4 3.30000+ 1 3.50000+ 1 8.59453- 4 8.46300- 4 3.30000+ 1 3.60000+ 1 2.93384- 4 8.48060- 4 3.30000+ 1 4.10000+ 1 7.17231- 5 7.96200- 4 3.30000+ 1 4.30000+ 1 7.65858- 5 8.18290- 4 3.30000+ 1 4.40000+ 1 1.28054- 4 8.31980- 4 3.30000+ 1 5.80000+ 1 5.67299- 6 8.51370- 4 3.50000+ 1 3.50000+ 1 1.27245- 4 9.65180- 4 3.50000+ 1 3.60000+ 1 2.09900- 4 9.66940- 4 3.50000+ 1 4.10000+ 1 1.09806- 4 9.15080- 4 3.50000+ 1 4.30000+ 1 4.33571- 5 9.37170- 4 3.50000+ 1 4.40000+ 1 7.98285- 5 9.50860- 4 3.50000+ 1 5.80000+ 1 7.29388- 6 9.70250- 4 3.60000+ 1 3.60000+ 1 2.71487- 5 9.68700- 4 3.60000+ 1 4.10000+ 1 7.21276- 5 9.16840- 4 3.60000+ 1 4.30000+ 1 3.64693- 5 9.38930- 4 3.60000+ 1 4.40000+ 1 4.01172- 5 9.52620- 4 3.60000+ 1 5.80000+ 1 4.45739- 6 9.72010- 4 4.10000+ 1 4.10000+ 1 5.26775- 6 8.64980- 4 4.10000+ 1 4.30000+ 1 1.05353- 5 8.87070- 4 4.10000+ 1 4.40000+ 1 6.88853- 6 9.00760- 4 4.10000+ 1 5.80000+ 1 8.10415- 7 9.20150- 4 4.30000+ 1 4.30000+ 1 2.43126- 6 9.09160- 4 4.30000+ 1 4.40000+ 1 1.01303- 5 9.22850- 4 4.30000+ 1 5.80000+ 1 8.10423- 7 9.42240- 4 4.40000+ 1 4.40000+ 1 4.45738- 6 9.36540- 4 4.40000+ 1 5.80000+ 1 4.05221- 7 9.55930- 4 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.63851- 5 3.78470- 4 2.50000+ 1 3.83853- 4 3.95220- 4 3.00000+ 1 1.69291- 4 6.74620- 4 3.50000+ 1 9.46808- 6 9.15420- 4 3.60000+ 1 1.56811- 4 9.17180- 4 4.40000+ 1 2.42932- 5 9.01100- 4 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.90000+ 1 8.70731- 3 4.06000- 5 2.40000+ 1 3.00000+ 1 1.66681- 2 1.26890- 4 2.40000+ 1 3.20000+ 1 8.38187- 3 2.36000- 4 2.40000+ 1 3.30000+ 1 1.13866- 1 2.48810- 4 2.40000+ 1 3.50000+ 1 1.50956- 3 3.67690- 4 2.40000+ 1 3.60000+ 1 1.41864- 3 3.69450- 4 2.40000+ 1 4.10000+ 1 2.22440- 3 3.17590- 4 2.40000+ 1 4.30000+ 1 1.47992- 3 3.39680- 4 2.40000+ 1 4.40000+ 1 1.84484- 3 3.53370- 4 2.40000+ 1 5.80000+ 1 1.70858- 4 3.72760- 4 2.50000+ 1 2.90000+ 1 1.43953- 1 5.73500- 5 2.50000+ 1 3.00000+ 1 1.23599- 1 1.43640- 4 2.50000+ 1 3.20000+ 1 1.25813- 1 2.52750- 4 2.50000+ 1 3.30000+ 1 2.21431- 1 2.65560- 4 2.50000+ 1 3.50000+ 1 8.00259- 3 3.84440- 4 2.50000+ 1 3.60000+ 1 1.31666- 2 3.86200- 4 2.50000+ 1 4.10000+ 1 2.60987- 2 3.34340- 4 2.50000+ 1 4.30000+ 1 2.23095- 2 3.56430- 4 2.50000+ 1 4.40000+ 1 1.67474- 2 3.70120- 4 2.50000+ 1 5.80000+ 1 2.04474- 3 3.89510- 4 2.70000+ 1 2.70000+ 1 1.67329- 3 1.03040- 4 2.70000+ 1 2.90000+ 1 2.46686- 3 1.76750- 4 2.70000+ 1 3.00000+ 1 3.21785- 3 2.63040- 4 2.70000+ 1 3.20000+ 1 2.74189- 3 3.72150- 4 2.70000+ 1 3.30000+ 1 1.44331- 2 3.84960- 4 2.70000+ 1 3.50000+ 1 2.11363- 3 5.03840- 4 2.70000+ 1 3.60000+ 1 3.24202- 3 5.05600- 4 2.70000+ 1 4.10000+ 1 3.71897- 4 4.53740- 4 2.70000+ 1 4.30000+ 1 2.75432- 4 4.75830- 4 2.70000+ 1 4.40000+ 1 3.47249- 4 4.89520- 4 2.70000+ 1 5.80000+ 1 2.80516- 5 5.08910- 4 2.90000+ 1 2.90000+ 1 3.59987- 4 2.50460- 4 2.90000+ 1 3.00000+ 1 3.65229- 3 3.36750- 4 2.90000+ 1 3.20000+ 1 6.14588- 4 4.45860- 4 2.90000+ 1 3.30000+ 1 1.36690- 2 4.58670- 4 2.90000+ 1 3.50000+ 1 3.05588- 4 5.77550- 4 2.90000+ 1 3.60000+ 1 6.09903- 4 5.79310- 4 2.90000+ 1 4.10000+ 1 1.67455- 4 5.27450- 4 2.90000+ 1 4.30000+ 1 8.16051- 5 5.49540- 4 2.90000+ 1 4.40000+ 1 2.81796- 4 5.63230- 4 2.90000+ 1 5.80000+ 1 1.19015- 5 5.82620- 4 3.00000+ 1 3.00000+ 1 1.18070- 3 4.23040- 4 3.00000+ 1 3.20000+ 1 2.42772- 3 5.32150- 4 3.00000+ 1 3.30000+ 1 1.75204- 2 5.44960- 4 3.00000+ 1 3.50000+ 1 6.19680- 4 6.63840- 4 3.00000+ 1 3.60000+ 1 7.98196- 4 6.65600- 4 3.00000+ 1 4.10000+ 1 9.90300- 5 6.13740- 4 3.00000+ 1 4.30000+ 1 1.46209- 4 6.35830- 4 3.00000+ 1 4.40000+ 1 2.05293- 4 6.49520- 4 3.00000+ 1 5.80000+ 1 5.95042- 6 6.68910- 4 3.20000+ 1 3.20000+ 1 1.46203- 4 6.41260- 4 3.20000+ 1 3.30000+ 1 1.76838- 2 6.54070- 4 3.20000+ 1 3.50000+ 1 2.16325- 4 7.72950- 4 3.20000+ 1 3.60000+ 1 8.08785- 4 7.74710- 4 3.20000+ 1 4.10000+ 1 7.26747- 5 7.22850- 4 3.20000+ 1 4.30000+ 1 5.05767- 5 7.44940- 4 3.20000+ 1 4.40000+ 1 2.22691- 4 7.58630- 4 3.20000+ 1 5.80000+ 1 5.10004- 6 7.78020- 4 3.30000+ 1 3.30000+ 1 1.95178- 2 6.66880- 4 3.30000+ 1 3.50000+ 1 9.18518- 3 7.85760- 4 3.30000+ 1 3.60000+ 1 1.07855- 2 7.87520- 4 3.30000+ 1 4.10000+ 1 2.05026- 3 7.35660- 4 3.30000+ 1 4.30000+ 1 1.93179- 3 7.57750- 4 3.30000+ 1 4.40000+ 1 2.34140- 3 7.71440- 4 3.30000+ 1 5.80000+ 1 1.59389- 4 7.90830- 4 3.50000+ 1 3.50000+ 1 3.01766- 5 9.04640- 4 3.50000+ 1 3.60000+ 1 2.10813- 4 9.06400- 4 3.50000+ 1 4.10000+ 1 8.92539- 5 8.54540- 4 3.50000+ 1 4.30000+ 1 3.06024- 5 8.76630- 4 3.50000+ 1 4.40000+ 1 5.10023- 5 8.90320- 4 3.50000+ 1 5.80000+ 1 5.52525- 6 9.09710- 4 3.60000+ 1 3.60000+ 1 1.82765- 4 9.08160- 4 3.60000+ 1 4.10000+ 1 1.51304- 4 8.56300- 4 3.60000+ 1 4.30000+ 1 5.05793- 5 8.78390- 4 3.60000+ 1 4.40000+ 1 7.94802- 5 8.92080- 4 3.60000+ 1 5.80000+ 1 9.77568- 6 9.11470- 4 4.10000+ 1 4.10000+ 1 1.10501- 5 8.04440- 4 4.10000+ 1 4.30000+ 1 1.40253- 5 8.26530- 4 4.10000+ 1 4.40000+ 1 1.14759- 5 8.40220- 4 4.10000+ 1 5.80000+ 1 1.70004- 6 8.59610- 4 4.30000+ 1 4.30000+ 1 2.54998- 6 8.48620- 4 4.30000+ 1 4.40000+ 1 1.31751- 5 8.62310- 4 4.30000+ 1 5.80000+ 1 8.50007- 7 8.81700- 4 4.40000+ 1 4.40000+ 1 9.77601- 6 8.76000- 4 4.40000+ 1 5.80000+ 1 8.50077- 7 8.95390- 4 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.65011- 4 4.05260- 4 3.30000+ 1 1.01511- 5 4.18070- 4 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 3.50000+ 1 2.75139- 1 5.97000- 6 2.50000+ 1 3.60000+ 1 1.54555- 2 7.73000- 6 2.50000+ 1 5.80000+ 1 2.77739- 4 1.10400- 5 2.70000+ 1 3.30000+ 1 8.37342- 4 6.49000- 6 2.70000+ 1 3.50000+ 1 5.07665- 2 1.25370- 4 2.70000+ 1 3.60000+ 1 1.02178- 2 1.27130- 4 2.70000+ 1 4.10000+ 1 6.55818- 4 7.52700- 5 2.70000+ 1 4.30000+ 1 8.37342- 4 9.73600- 5 2.70000+ 1 4.40000+ 1 1.95286- 3 1.11050- 4 2.70000+ 1 5.80000+ 1 4.39157- 5 1.30440- 4 2.90000+ 1 3.20000+ 1 2.76306- 2 6.73900- 5 2.90000+ 1 3.30000+ 1 5.82445- 2 8.02000- 5 2.90000+ 1 3.50000+ 1 5.02517- 2 1.99080- 4 2.90000+ 1 3.60000+ 1 1.18636- 2 2.00840- 4 2.90000+ 1 4.10000+ 1 6.23619- 3 1.48980- 4 2.90000+ 1 4.30000+ 1 3.44599- 3 1.71070- 4 2.90000+ 1 4.40000+ 1 5.07383- 3 1.84760- 4 2.90000+ 1 5.80000+ 1 4.45013- 4 2.04150- 4 3.00000+ 1 3.00000+ 1 7.09966- 3 4.45700- 5 3.00000+ 1 3.20000+ 1 4.32684- 2 1.53680- 4 3.00000+ 1 3.30000+ 1 3.10775- 2 1.66490- 4 3.00000+ 1 3.50000+ 1 7.42986- 2 2.85370- 4 3.00000+ 1 3.60000+ 1 4.29486- 3 2.87130- 4 3.00000+ 1 4.10000+ 1 2.16938- 3 2.35270- 4 3.00000+ 1 4.30000+ 1 1.41698- 3 2.57360- 4 3.00000+ 1 4.40000+ 1 9.51501- 4 2.71050- 4 3.00000+ 1 5.80000+ 1 1.34671- 4 2.90440- 4 3.20000+ 1 3.20000+ 1 4.90398- 3 2.62790- 4 3.20000+ 1 3.30000+ 1 1.17318- 2 2.75600- 4 3.20000+ 1 3.50000+ 1 6.60737- 2 3.94480- 4 3.20000+ 1 3.60000+ 1 7.94588- 3 3.96240- 4 3.20000+ 1 4.10000+ 1 6.82157- 4 3.44380- 4 3.20000+ 1 4.30000+ 1 3.23808- 3 3.66470- 4 3.20000+ 1 4.40000+ 1 2.20467- 3 3.80160- 4 3.20000+ 1 5.80000+ 1 5.56269- 5 3.99550- 4 3.30000+ 1 3.30000+ 1 3.02711- 3 2.88410- 4 3.30000+ 1 3.50000+ 1 9.73235- 2 4.07290- 4 3.30000+ 1 3.60000+ 1 2.65243- 3 4.09050- 4 3.30000+ 1 4.10000+ 1 7.43601- 4 3.57190- 4 3.30000+ 1 4.30000+ 1 2.31267- 3 3.79280- 4 3.30000+ 1 4.40000+ 1 1.25600- 3 3.92970- 4 3.30000+ 1 5.80000+ 1 5.56241- 5 4.12360- 4 3.50000+ 1 3.50000+ 1 3.03740- 2 5.26170- 4 3.50000+ 1 3.60000+ 1 5.27263- 2 5.27930- 4 3.50000+ 1 4.10000+ 1 8.30293- 3 4.76070- 4 3.50000+ 1 4.30000+ 1 7.26933- 3 4.98160- 4 3.50000+ 1 4.40000+ 1 9.61728- 3 5.11850- 4 3.50000+ 1 5.80000+ 1 6.41141- 4 5.31240- 4 3.60000+ 1 3.60000+ 1 5.24076- 4 5.29690- 4 3.60000+ 1 4.10000+ 1 2.54717- 4 4.77830- 4 3.60000+ 1 4.30000+ 1 8.46117- 4 4.99920- 4 3.60000+ 1 4.40000+ 1 3.10342- 4 5.13610- 4 3.60000+ 1 5.80000+ 1 1.75668- 5 5.33000- 4 4.10000+ 1 4.10000+ 1 2.63498- 5 4.25970- 4 4.10000+ 1 4.30000+ 1 2.34215- 4 4.48060- 4 4.10000+ 1 4.40000+ 1 1.49311- 4 4.61750- 4 4.10000+ 1 5.80000+ 1 2.92768- 6 4.81140- 4 4.30000+ 1 4.30000+ 1 8.19767- 5 4.70150- 4 4.30000+ 1 4.40000+ 1 1.05398- 4 4.83840- 4 4.30000+ 1 5.80000+ 1 1.75666- 5 5.03230- 4 4.40000+ 1 4.40000+ 1 2.04932- 5 4.97530- 4 4.40000+ 1 5.80000+ 1 8.78302- 6 5.16920- 4 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 2.14740- 4 4.01320- 4 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 3.50000+ 1 1.04898- 2 1.08620- 4 2.70000+ 1 3.60000+ 1 6.76416- 2 1.10380- 4 2.70000+ 1 4.10000+ 1 8.94854- 4 5.85200- 5 2.70000+ 1 4.30000+ 1 2.13778- 3 8.06100- 5 2.70000+ 1 4.40000+ 1 1.66735- 3 9.43000- 5 2.70000+ 1 5.80000+ 1 5.35384- 5 1.13690- 4 2.90000+ 1 3.20000+ 1 3.41875- 3 5.06400- 5 2.90000+ 1 3.30000+ 1 6.99432- 3 6.34500- 5 2.90000+ 1 3.50000+ 1 7.76297- 4 1.82330- 4 2.90000+ 1 3.60000+ 1 5.91483- 2 1.84090- 4 2.90000+ 1 4.10000+ 1 2.13776- 3 1.32230- 4 2.90000+ 1 4.30000+ 1 4.81836- 4 1.54320- 4 2.90000+ 1 4.40000+ 1 6.08035- 4 1.68010- 4 2.90000+ 1 5.80000+ 1 1.37670- 4 1.87400- 4 3.00000+ 1 3.00000+ 1 3.66202- 2 2.78200- 5 3.00000+ 1 3.20000+ 1 8.91001- 2 1.36930- 4 3.00000+ 1 3.30000+ 1 1.74626- 1 1.49740- 4 3.00000+ 1 3.50000+ 1 1.62945- 2 2.68620- 4 3.00000+ 1 3.60000+ 1 1.07969- 1 2.70380- 4 3.00000+ 1 4.10000+ 1 5.70952- 3 2.18520- 4 3.00000+ 1 4.30000+ 1 1.96948- 3 2.40610- 4 3.00000+ 1 4.40000+ 1 4.29469- 3 2.54300- 4 3.00000+ 1 5.80000+ 1 3.86255- 4 2.73690- 4 3.20000+ 1 3.20000+ 1 1.46078- 3 2.46040- 4 3.20000+ 1 3.30000+ 1 1.60379- 2 2.58850- 4 3.20000+ 1 3.50000+ 1 2.18351- 3 3.77730- 4 3.20000+ 1 3.60000+ 1 9.08947- 2 3.79490- 4 3.20000+ 1 4.10000+ 1 8.18351- 4 3.27630- 4 3.20000+ 1 4.30000+ 1 8.03051- 4 3.49720- 4 3.20000+ 1 4.40000+ 1 2.42062- 3 3.63410- 4 3.20000+ 1 5.80000+ 1 6.11841- 5 3.82800- 4 3.30000+ 1 3.30000+ 1 9.76309- 3 2.71660- 4 3.30000+ 1 3.50000+ 1 9.73239- 3 3.90540- 4 3.30000+ 1 3.60000+ 1 1.20998- 1 3.92300- 4 3.30000+ 1 4.10000+ 1 1.08607- 3 3.40440- 4 3.30000+ 1 4.30000+ 1 1.32310- 3 3.62530- 4 3.30000+ 1 4.40000+ 1 5.06316- 3 3.76220- 4 3.30000+ 1 5.80000+ 1 8.41319- 5 3.95610- 4 3.50000+ 1 3.50000+ 1 4.81839- 4 5.09420- 4 3.50000+ 1 3.60000+ 1 5.47925- 2 5.11180- 4 3.50000+ 1 4.10000+ 1 3.17406- 4 4.59320- 4 3.50000+ 1 4.30000+ 1 7.26589- 5 4.81410- 4 3.50000+ 1 4.40000+ 1 1.09368- 3 4.95100- 4 3.50000+ 1 5.80000+ 1 2.29439- 5 5.14490- 4 3.60000+ 1 3.60000+ 1 5.25208- 2 5.12940- 4 3.60000+ 1 4.10000+ 1 1.07077- 2 4.61080- 4 3.60000+ 1 4.30000+ 1 8.97137- 3 4.83170- 4 3.60000+ 1 4.40000+ 1 1.30210- 2 4.96860- 4 3.60000+ 1 5.80000+ 1 8.26011- 4 5.16250- 4 4.10000+ 1 4.10000+ 1 3.44180- 5 4.09220- 4 4.10000+ 1 4.30000+ 1 1.45323- 4 4.31310- 4 4.10000+ 1 4.40000+ 1 2.82994- 4 4.45000- 4 4.10000+ 1 5.80000+ 1 3.82424- 6 4.64390- 4 4.30000+ 1 4.30000+ 1 1.52967- 5 4.53400- 4 4.30000+ 1 4.40000+ 1 7.64807- 5 4.67090- 4 4.30000+ 1 5.80000+ 1 1.14726- 5 4.86480- 4 4.40000+ 1 4.40000+ 1 8.03075- 5 4.80780- 4 4.40000+ 1 5.80000+ 1 1.91195- 5 5.00170- 4 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.22530- 6 7.37100- 5 3.00000+ 1 2.57741- 5 1.60000- 4 4.30000+ 1 3.33221- 6 3.72790- 4 4.40000+ 1 6.52242- 8 3.86480- 4 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.50000+ 1 5.64577- 2 6.29300- 5 2.90000+ 1 3.60000+ 1 9.74849- 2 6.46900- 5 2.90000+ 1 4.10000+ 1 1.99147- 2 1.28300- 5 2.90000+ 1 4.30000+ 1 1.38168- 2 3.49200- 5 2.90000+ 1 4.40000+ 1 2.29827- 2 4.86100- 5 2.90000+ 1 5.80000+ 1 1.51378- 3 6.80000- 5 3.00000+ 1 3.20000+ 1 1.44578- 1 1.75300- 5 3.00000+ 1 3.30000+ 1 1.29068- 1 3.03400- 5 3.00000+ 1 3.50000+ 1 1.32648- 1 1.49220- 4 3.00000+ 1 3.60000+ 1 1.21178- 1 1.50980- 4 3.00000+ 1 4.10000+ 1 1.60568- 2 9.91200- 5 3.00000+ 1 4.30000+ 1 1.62198- 2 1.21210- 4 3.00000+ 1 4.40000+ 1 1.28078- 2 1.34900- 4 3.00000+ 1 5.80000+ 1 1.21628- 3 1.54290- 4 3.20000+ 1 3.20000+ 1 1.45610- 3 1.26640- 4 3.20000+ 1 3.30000+ 1 1.07909- 1 1.39450- 4 3.20000+ 1 3.50000+ 1 3.67807- 3 2.58330- 4 3.20000+ 1 3.60000+ 1 1.32150- 2 2.60090- 4 3.20000+ 1 4.10000+ 1 5.38924- 3 2.08230- 4 3.20000+ 1 4.30000+ 1 1.14060- 3 2.30320- 4 3.20000+ 1 4.40000+ 1 3.88116- 3 2.44010- 4 3.20000+ 1 5.80000+ 1 3.40727- 4 2.63400- 4 3.30000+ 1 3.30000+ 1 2.53566- 2 1.52260- 4 3.30000+ 1 3.50000+ 1 1.51668- 2 2.71140- 4 3.30000+ 1 3.60000+ 1 1.00389- 2 2.72900- 4 3.30000+ 1 4.10000+ 1 7.55253- 3 2.21040- 4 3.30000+ 1 4.30000+ 1 3.30314- 3 2.43130- 4 3.30000+ 1 4.40000+ 1 2.51056- 3 2.56820- 4 3.30000+ 1 5.80000+ 1 4.75620- 4 2.76210- 4 3.50000+ 1 3.50000+ 1 5.57112- 5 3.90020- 4 3.50000+ 1 3.60000+ 1 1.80765- 3 3.91780- 4 3.50000+ 1 4.10000+ 1 2.67423- 3 3.39920- 4 3.50000+ 1 4.30000+ 1 2.43604- 4 3.62010- 4 3.50000+ 1 4.40000+ 1 6.61170- 4 3.75700- 4 3.50000+ 1 5.80000+ 1 1.55547- 4 3.95090- 4 3.60000+ 1 3.60000+ 1 3.33825- 4 3.93540- 4 3.60000+ 1 4.10000+ 1 3.31505- 3 3.41680- 4 3.60000+ 1 4.30000+ 1 5.75509- 4 3.63770- 4 3.60000+ 1 4.40000+ 1 4.11982- 4 3.77460- 4 3.60000+ 1 5.80000+ 1 1.92747- 4 3.96850- 4 4.10000+ 1 4.10000+ 1 4.39402- 4 2.89820- 4 4.10000+ 1 4.30000+ 1 5.16582- 4 3.11910- 4 4.10000+ 1 4.40000+ 1 6.97842- 4 3.25600- 4 4.10000+ 1 5.80000+ 1 5.95772- 5 3.44990- 4 4.30000+ 1 4.30000+ 1 4.63656- 5 3.34000- 4 4.30000+ 1 4.40000+ 1 2.54923- 4 3.47690- 4 4.30000+ 1 5.80000+ 1 2.93822- 5 3.67080- 4 4.40000+ 1 4.40000+ 1 1.00019- 4 3.61380- 4 4.40000+ 1 5.80000+ 1 4.19611- 5 3.80770- 4 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 9.86274- 5 1.95400- 4 4.10000+ 1 1.06750- 5 2.76990- 4 5.80000+ 1 9.08054- 7 3.32160- 4 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.50000+ 1 2.81096- 2 7.55100- 5 3.00000+ 1 3.60000+ 1 1.63884- 2 7.72700- 5 3.00000+ 1 4.10000+ 1 1.41384- 2 2.54100- 5 3.00000+ 1 4.30000+ 1 9.30281- 3 4.75000- 5 3.00000+ 1 4.40000+ 1 7.44377- 3 6.11900- 5 3.00000+ 1 5.80000+ 1 7.82447- 4 8.05800- 5 3.20000+ 1 3.20000+ 1 7.65803- 2 5.29300- 5 3.20000+ 1 3.30000+ 1 3.11286- 1 6.57400- 5 3.20000+ 1 3.50000+ 1 9.19846- 2 1.84620- 4 3.20000+ 1 3.60000+ 1 2.04634- 1 1.86380- 4 3.20000+ 1 4.10000+ 1 3.36456- 2 1.34520- 4 3.20000+ 1 4.30000+ 1 2.22944- 2 1.56610- 4 3.20000+ 1 4.40000+ 1 3.11686- 2 1.70300- 4 3.20000+ 1 5.80000+ 1 2.66064- 3 1.89690- 4 3.30000+ 1 3.30000+ 1 1.21783- 2 7.85500- 5 3.30000+ 1 3.50000+ 1 5.00620- 2 1.97430- 4 3.30000+ 1 3.60000+ 1 1.13852- 2 1.99190- 4 3.30000+ 1 4.10000+ 1 3.39216- 3 1.47330- 4 3.30000+ 1 4.30000+ 1 1.60513- 2 1.69420- 4 3.30000+ 1 4.40000+ 1 3.16886- 3 1.83110- 4 3.30000+ 1 5.80000+ 1 2.22644- 4 2.02500- 4 3.50000+ 1 3.50000+ 1 3.07459- 3 3.16310- 4 3.50000+ 1 3.60000+ 1 1.99576- 2 3.18070- 4 3.50000+ 1 4.10000+ 1 3.07389- 3 2.66210- 4 3.50000+ 1 4.30000+ 1 6.11437- 3 2.88300- 4 3.50000+ 1 4.40000+ 1 2.87028- 3 3.01990- 4 3.50000+ 1 5.80000+ 1 2.39456- 4 3.21380- 4 3.60000+ 1 3.60000+ 1 1.02655- 3 3.19830- 4 3.60000+ 1 4.10000+ 1 1.15165- 3 2.67970- 4 3.60000+ 1 4.30000+ 1 9.50262- 3 2.90060- 4 3.60000+ 1 4.40000+ 1 9.56942- 4 3.03750- 4 3.60000+ 1 5.80000+ 1 7.42944- 5 3.23140- 4 4.10000+ 1 4.10000+ 1 1.00424- 4 2.16110- 4 4.10000+ 1 4.30000+ 1 1.54536- 3 2.38200- 4 4.10000+ 1 4.40000+ 1 2.58778- 4 2.51890- 4 4.10000+ 1 5.80000+ 1 1.29495- 5 2.71280- 4 4.30000+ 1 4.30000+ 1 9.19919- 4 2.60290- 4 4.30000+ 1 4.40000+ 1 1.90641- 3 2.73980- 4 4.30000+ 1 5.80000+ 1 1.25182- 4 2.93370- 4 4.40000+ 1 4.40000+ 1 8.33790- 5 2.87670- 4 4.40000+ 1 5.80000+ 1 1.59034- 5 3.07060- 4 1 98000 0 7 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.16480- 6 1.09110- 4 3.30000+ 1 1.48610- 5 1.21920- 4 4.10000+ 1 7.12191- 6 1.90700- 4 5.80000+ 1 5.89341- 7 2.45870- 4 1 98000 0 9 2.51000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.50000+ 1 2.78776- 2 9.83300- 5 3.20000+ 1 3.60000+ 1 1.04628- 1 1.00090- 4 3.20000+ 1 4.10000+ 1 8.02849- 3 4.82300- 5 3.20000+ 1 4.30000+ 1 5.64752- 3 7.03200- 5 3.20000+ 1 4.40000+ 1 1.44378- 2 8.40100- 5 3.20000+ 1 5.80000+ 1 5.10573- 4 1.03400- 4 3.30000+ 1 3.50000+ 1 3.54813- 1 1.11140- 4 3.30000+ 1 3.60000+ 1 3.11833- 1 1.12900- 4 3.30000+ 1 4.10000+ 1 3.89773- 2 6.10400- 5 3.30000+ 1 4.30000+ 1 3.97233- 2 8.31300- 5 3.30000+ 1 4.40000+ 1 3.84353- 2 9.68200- 5 3.30000+ 1 5.80000+ 1 3.02953- 3 1.16210- 4 3.50000+ 1 3.50000+ 1 6.05553- 4 2.30020- 4 3.50000+ 1 3.60000+ 1 1.44641- 2 2.31780- 4 3.50000+ 1 4.10000+ 1 2.68331- 3 1.79920- 4 3.50000+ 1 4.30000+ 1 7.94193- 4 2.02010- 4 3.50000+ 1 4.40000+ 1 6.25973- 3 2.15700- 4 3.50000+ 1 5.80000+ 1 9.51453- 5 2.35090- 4 3.60000+ 1 3.60000+ 1 5.52179- 3 2.33540- 4 3.60000+ 1 4.10000+ 1 4.99938- 3 1.81680- 4 3.60000+ 1 4.30000+ 1 3.84899- 3 2.03770- 4 3.60000+ 1 4.40000+ 1 7.50559- 3 2.17460- 4 3.60000+ 1 5.80000+ 1 2.48290- 4 2.36850- 4 4.10000+ 1 4.10000+ 1 3.03239- 4 1.29820- 4 4.10000+ 1 4.30000+ 1 4.30809- 4 1.51910- 4 4.10000+ 1 4.40000+ 1 1.52540- 3 1.65600- 4 4.10000+ 1 5.80000+ 1 3.80578- 5 1.84990- 4 4.30000+ 1 4.30000+ 1 4.26246- 6 1.74000- 4 4.30000+ 1 4.40000+ 1 1.33528- 3 1.87690- 4 4.30000+ 1 5.80000+ 1 1.76579- 5 2.07080- 4 4.40000+ 1 4.40000+ 1 1.24794- 3 2.01380- 4 4.40000+ 1 5.80000+ 1 1.06263- 4 2.20770- 4 1 99000 0 0 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 3.50000+ 1 4.71000+ 0 3.60000+ 1 6.29000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 5.80000+ 1 2.00000+ 0 1 99000 0 0 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.39110- 1 3.00000+ 0 2.68240- 2 5.00000+ 0 2.60070- 2 6.00000+ 0 2.04090- 2 8.00000+ 0 6.95310- 3 1.00000+ 1 6.56460- 3 1.10000+ 1 5.24720- 3 1.30000+ 1 4.62550- 3 1.40000+ 1 4.36960- 3 1.60000+ 1 1.85630- 3 1.80000+ 1 1.67360- 3 1.90000+ 1 1.31590- 3 2.10000+ 1 1.02400- 3 2.20000+ 1 9.60070- 4 2.40000+ 1 5.73930- 4 2.50000+ 1 5.56130- 4 2.70000+ 1 4.28630- 4 2.90000+ 1 3.52760- 4 3.00000+ 1 2.60360- 4 3.20000+ 1 1.48170- 4 3.30000+ 1 1.34480- 4 3.50000+ 1 1.15400- 5 3.60000+ 1 9.61000- 6 4.10000+ 1 6.28500- 5 4.30000+ 1 4.00200- 5 4.40000+ 1 2.54400- 5 5.80000+ 1 5.78000- 6 1 99000 0 0 2.52000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.21640- 1 3.00000+ 0 5.68360- 2 5.00000+ 0 5.70630- 2 6.00000+ 0 3.26910- 2 8.00000+ 0 1.81530- 2 1.00000+ 1 1.80390- 2 1.10000+ 1 1.18050- 2 1.30000+ 1 1.16220- 2 1.40000+ 1 1.05670- 2 1.60000+ 1 6.37100- 3 1.80000+ 1 6.20280- 3 1.90000+ 1 4.26350- 3 2.10000+ 1 4.00090- 3 2.20000+ 1 3.67360- 3 2.40000+ 1 3.30320- 3 2.50000+ 1 3.19060- 3 2.70000+ 1 2.10800- 3 2.90000+ 1 1.96350- 3 3.00000+ 1 1.36020- 3 3.20000+ 1 1.11830- 3 3.30000+ 1 1.02080- 3 3.50000+ 1 5.51160- 4 3.60000+ 1 5.19170- 4 4.10000+ 1 4.96510- 4 4.30000+ 1 3.95480- 4 4.40000+ 1 2.41370- 4 5.80000+ 1 4.63200- 5 1 99000 0 0 2.52000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.44890-11 3.00000+ 0 2.65600-10 5.00000+ 0 2.12230-10 6.00000+ 0 2.71620-10 8.00000+ 0 6.93540-10 1.00000+ 1 6.47590-10 1.10000+ 1 7.53400-10 1.30000+ 1 6.46040-10 1.40000+ 1 6.76940-10 1.60000+ 1 1.49480- 9 1.80000+ 1 1.47710- 9 1.90000+ 1 1.67900- 9 2.10000+ 1 1.64430- 9 2.20000+ 1 1.70180- 9 2.40000+ 1 1.60870- 9 2.50000+ 1 1.63620- 9 2.70000+ 1 3.03950- 9 2.90000+ 1 3.12790- 9 3.00000+ 1 3.55300- 9 3.20000+ 1 3.88090- 9 3.30000+ 1 4.02380- 9 3.50000+ 1 5.67270- 9 3.60000+ 1 5.86190- 9 4.10000+ 1 6.68060- 9 4.30000+ 1 7.41810- 9 4.40000+ 1 8.84300- 9 5.80000+ 1 2.04860- 8 1 99000 0 0 2.52000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.22800- 4 3.00000+ 0 3.58760- 6 5.00000+ 0 6.20900- 6 6.00000+ 0 5.05990- 6 8.00000+ 0 1.76190- 7 1.00000+ 1 1.86190- 7 1.10000+ 1 2.11670- 7 1.30000+ 1 2.95340- 7 1.40000+ 1 2.68350- 7 1.60000+ 1 1.15490- 8 1.80000+ 1 1.39410- 8 1.90000+ 1 9.20470- 9 2.10000+ 1 6.30920- 9 2.20000+ 1 4.81960- 9 2.40000+ 1 2.54020-10 2.50000+ 1 2.24390-10 2.70000+ 1 9.02660-10 2.90000+ 1 1.62950- 9 3.00000+ 1 6.50150-10 1 99000 0 0 2.52000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.55940- 6 3.00000+ 0 1.32620- 5 5.00000+ 0 5.40460- 6 6.00000+ 0 4.78840- 6 8.00000+ 0 2.03540- 5 1.00000+ 1 1.58940- 5 1.10000+ 1 1.19520- 5 1.30000+ 1 4.18840- 6 1.40000+ 1 4.06250- 6 1.60000+ 1 1.52860- 5 1.80000+ 1 1.64160- 5 1.90000+ 1 1.05970- 5 2.10000+ 1 6.82570- 6 2.20000+ 1 6.49510- 6 2.40000+ 1 1.15880- 6 2.50000+ 1 7.77100- 7 2.70000+ 1 3.12490- 5 2.90000+ 1 1.22710- 5 3.00000+ 1 2.01480- 5 1 99000 0 0 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.24799- 4 3.00000+ 0 1.02373- 3 5.00000+ 0 7.61075- 4 6.00000+ 0 7.17105- 4 8.00000+ 0 8.05749- 4 1.00000+ 1 7.24205- 4 1.10000+ 1 6.24430- 4 1.30000+ 1 4.86581- 4 1.40000+ 1 4.69127- 4 1.60000+ 1 4.25996- 4 1.80000+ 1 3.97003- 4 1.90000+ 1 4.14043- 4 2.10000+ 1 3.33782- 4 2.20000+ 1 3.15875- 4 2.40000+ 1 1.89885- 4 2.50000+ 1 1.84197- 4 2.70000+ 1 2.20530- 4 2.90000+ 1 2.01879- 4 3.00000+ 1 1.45588- 4 3.20000+ 1 1.48170- 4 3.30000+ 1 1.34480- 4 3.50000+ 1 1.15400- 5 3.60000+ 1 9.61000- 6 4.10000+ 1 6.28500- 5 4.30000+ 1 4.00200- 5 4.40000+ 1 2.54400- 5 5.80000+ 1 5.78000- 6 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.50025+ 0 3.00000+ 0 6.68918- 1 5.00000+ 0 7.28729- 1 6.00000+ 0 5.95220- 1 8.00000+ 0 7.15288- 2 1.00000+ 1 7.53263- 2 1.10000+ 1 6.69697- 2 1.30000+ 1 7.45363- 2 1.40000+ 1 6.47596- 2 1.60000+ 1 2.36577- 3 1.80000+ 1 2.25781- 3 1.90000+ 1 1.77031- 3 2.10000+ 1 1.27893- 3 2.20000+ 1 1.05471- 3 2.40000+ 1 3.14286- 4 2.50000+ 1 2.77702- 4 2.70000+ 1 7.42533- 5 2.90000+ 1 1.27845- 4 3.00000+ 1 2.70639- 5 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.25940- 1 3.00000+ 0 1.07589- 2 5.00000+ 0 1.40154- 2 6.00000+ 0 8.88201- 3 8.00000+ 0 2.82195- 4 1.00000+ 1 3.01555- 4 1.10000+ 1 2.58680- 4 1.30000+ 1 2.95462- 4 1.40000+ 1 2.43923- 4 1.60000+ 1 2.00417- 6 1.80000+ 1 1.63219- 6 1.90000+ 1 1.26966- 6 2.10000+ 1 7.35543- 7 2.20000+ 1 5.89714- 7 2.40000+ 1 1.24902- 7 2.50000+ 1 1.10358- 7 2.70000+ 1 1.41149- 8 2.90000+ 1 2.72098- 8 3.00000+ 1 4.06725- 9 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.59768+ 0 3.00000+ 0 1.25610+ 1 5.00000+ 0 9.07749+ 0 6.00000+ 0 8.48563+ 0 8.00000+ 0 9.81990+ 0 1.00000+ 1 8.68930+ 0 1.10000+ 1 7.41785+ 0 1.30000+ 1 5.53955+ 0 1.40000+ 1 5.23397+ 0 1.60000+ 1 4.29983+ 0 1.80000+ 1 3.90065+ 0 1.90000+ 1 4.10595+ 0 2.10000+ 1 3.28936+ 0 2.20000+ 1 2.90131+ 0 2.40000+ 1 1.98168+ 0 2.50000+ 1 1.67835+ 0 2.70000+ 1 1.80296+ 0 2.90000+ 1 1.07809+ 0 3.00000+ 1 9.99973- 1 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.24453- 2 3.00000+ 0 1.50414- 2 5.00000+ 0 1.12306- 2 6.00000+ 0 1.08099- 2 8.00000+ 0 5.86516- 3 1.00000+ 1 5.53884- 3 1.10000+ 1 4.36409- 3 1.30000+ 1 3.84346- 3 1.40000+ 1 3.65655- 3 1.60000+ 1 1.42830- 3 1.80000+ 1 1.27496- 3 1.90000+ 1 9.00587- 4 2.10000+ 1 6.89482- 4 2.20000+ 1 6.43605- 4 2.40000+ 1 3.83920- 4 2.50000+ 1 3.71823- 4 2.70000+ 1 2.08086- 4 2.90000+ 1 1.50854- 4 3.00000+ 1 1.14768- 4 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.96149- 1 1.13103- 1 6.00000+ 0 4.55508- 1 1.18701- 1 1.00000+ 1 5.34468- 2 1.32545- 1 1.10000+ 1 1.05850- 1 1.33863- 1 1.30000+ 1 2.18629- 3 1.34485- 1 1.40000+ 1 2.37699- 3 1.34740- 1 1.80000+ 1 1.36579- 2 1.37436- 1 1.90000+ 1 2.84889- 2 1.37794- 1 2.10000+ 1 6.80327- 4 1.38086- 1 2.20000+ 1 7.44397- 4 1.38150- 1 2.90000+ 1 3.51008- 3 1.38757- 1 3.00000+ 1 7.26167- 3 1.38850- 1 3.20000+ 1 1.54609- 4 1.38962- 1 3.30000+ 1 1.67319- 4 1.38976- 1 4.30000+ 1 5.92817- 4 1.39070- 1 4.40000+ 1 1.05540- 3 1.39085- 1 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.45146- 3 8.54620- 2 3.00000+ 0 5.00000+ 0 6.92412- 3 8.62790- 2 3.00000+ 0 6.00000+ 0 2.02083- 3 9.18770- 2 3.00000+ 0 8.00000+ 0 1.45062- 3 1.05333- 1 3.00000+ 0 1.00000+ 1 1.52482- 3 1.05721- 1 3.00000+ 0 1.10000+ 1 5.14929- 4 1.07039- 1 3.00000+ 0 1.30000+ 1 4.52258- 5 1.07661- 1 3.00000+ 0 1.40000+ 1 2.54554- 5 1.07916- 1 3.00000+ 0 1.60000+ 1 3.94956- 4 1.10430- 1 3.00000+ 0 1.80000+ 1 4.09377- 4 1.10612- 1 3.00000+ 0 1.90000+ 1 1.41322- 4 1.10970- 1 3.00000+ 0 2.10000+ 1 1.42132- 5 1.11262- 1 3.00000+ 0 2.20000+ 1 7.88216- 6 1.11326- 1 3.00000+ 0 2.40000+ 1 4.30707- 8 1.11712- 1 3.00000+ 0 2.50000+ 1 4.30707- 8 1.11730- 1 3.00000+ 0 2.70000+ 1 1.07932- 4 1.11857- 1 3.00000+ 0 2.90000+ 1 1.06452- 4 1.11933- 1 3.00000+ 0 3.00000+ 1 3.62447- 5 1.12026- 1 3.00000+ 0 3.20000+ 1 3.23036- 6 1.12138- 1 3.00000+ 0 3.30000+ 1 1.76593- 6 1.12152- 1 5.00000+ 0 5.00000+ 0 1.93316- 4 8.70960- 2 5.00000+ 0 6.00000+ 0 3.09814- 3 9.26940- 2 5.00000+ 0 8.00000+ 0 1.30097- 3 1.06150- 1 5.00000+ 0 1.00000+ 1 7.66867- 5 1.06538- 1 5.00000+ 0 1.10000+ 1 6.79286- 4 1.07856- 1 5.00000+ 0 1.30000+ 1 4.59111- 5 1.08478- 1 5.00000+ 0 1.40000+ 1 9.31184- 5 1.08733- 1 5.00000+ 0 1.60000+ 1 3.45303- 4 1.11247- 1 5.00000+ 0 1.80000+ 1 2.02646- 5 1.11429- 1 5.00000+ 0 1.90000+ 1 1.79366- 4 1.11787- 1 5.00000+ 0 2.10000+ 1 1.36747- 5 1.12079- 1 5.00000+ 0 2.20000+ 1 2.80814- 5 1.12143- 1 5.00000+ 0 2.40000+ 1 4.52241- 7 1.12529- 1 5.00000+ 0 2.50000+ 1 6.24527- 7 1.12547- 1 5.00000+ 0 2.70000+ 1 9.37184- 5 1.12674- 1 5.00000+ 0 2.90000+ 1 5.25450- 6 1.12750- 1 5.00000+ 0 3.00000+ 1 4.55251- 5 1.12843- 1 5.00000+ 0 3.20000+ 1 3.05784- 6 1.12955- 1 5.00000+ 0 3.30000+ 1 6.22357- 6 1.12969- 1 6.00000+ 0 6.00000+ 0 1.20176- 3 9.82920- 2 6.00000+ 0 8.00000+ 0 3.33747- 4 1.11748- 1 6.00000+ 0 1.00000+ 1 5.64457- 4 1.12136- 1 6.00000+ 0 1.10000+ 1 5.41748- 4 1.13454- 1 6.00000+ 0 1.30000+ 1 9.74454- 5 1.14075- 1 6.00000+ 0 1.40000+ 1 7.49191- 5 1.14331- 1 6.00000+ 0 1.60000+ 1 8.58348- 5 1.16845- 1 6.00000+ 0 1.80000+ 1 1.44734- 4 1.17027- 1 6.00000+ 0 1.90000+ 1 1.44174- 4 1.17385- 1 6.00000+ 0 2.10000+ 1 2.95238- 5 1.17677- 1 6.00000+ 0 2.20000+ 1 2.27191- 5 1.17741- 1 6.00000+ 0 2.40000+ 1 5.81437- 7 1.18127- 1 6.00000+ 0 2.50000+ 1 6.24514- 7 1.18145- 1 6.00000+ 0 2.70000+ 1 2.30851- 5 1.18272- 1 6.00000+ 0 2.90000+ 1 3.71694- 5 1.18348- 1 6.00000+ 0 3.00000+ 1 3.66736- 5 1.18441- 1 6.00000+ 0 3.20000+ 1 6.65413- 6 1.18553- 1 6.00000+ 0 3.30000+ 1 5.03920- 6 1.18567- 1 8.00000+ 0 8.00000+ 0 1.50827- 4 1.25204- 1 8.00000+ 0 1.00000+ 1 2.87695- 4 1.25592- 1 8.00000+ 0 1.10000+ 1 8.56869- 5 1.26910- 1 8.00000+ 0 1.30000+ 1 7.27879- 6 1.27531- 1 8.00000+ 0 1.40000+ 1 3.87613- 6 1.27787- 1 8.00000+ 0 1.60000+ 1 8.20060- 5 1.30301- 1 8.00000+ 0 1.80000+ 1 7.73319- 5 1.30483- 1 8.00000+ 0 1.90000+ 1 2.35806- 5 1.30841- 1 8.00000+ 0 2.10000+ 1 2.28266- 6 1.31133- 1 8.00000+ 0 2.20000+ 1 1.18438- 6 1.31197- 1 8.00000+ 0 2.70000+ 1 2.23966- 5 1.31728- 1 8.00000+ 0 2.90000+ 1 2.01136- 5 1.31804- 1 8.00000+ 0 3.00000+ 1 6.05140- 6 1.31897- 1 8.00000+ 0 3.20000+ 1 5.16831- 7 1.32009- 1 8.00000+ 0 3.30000+ 1 2.58426- 7 1.32022- 1 1.00000+ 1 1.00000+ 1 6.86973- 6 1.25981- 1 1.00000+ 1 1.10000+ 1 1.28326- 4 1.27298- 1 1.00000+ 1 1.30000+ 1 8.05433- 6 1.27920- 1 1.00000+ 1 1.40000+ 1 1.24476- 5 1.28176- 1 1.00000+ 1 1.60000+ 1 7.63623- 5 1.30689- 1 1.00000+ 1 1.80000+ 1 3.55332- 6 1.30872- 1 1.00000+ 1 1.90000+ 1 3.41532- 5 1.31229- 1 1.00000+ 1 2.10000+ 1 2.43344- 6 1.31521- 1 1.00000+ 1 2.20000+ 1 3.81160- 6 1.31585- 1 1.00000+ 1 2.40000+ 1 6.46043- 8 1.31971- 1 1.00000+ 1 2.50000+ 1 6.46043- 8 1.31989- 1 1.00000+ 1 2.70000+ 1 2.07165- 5 1.32117- 1 1.00000+ 1 2.90000+ 1 9.04420- 7 1.32193- 1 1.00000+ 1 3.00000+ 1 8.67851- 6 1.32285- 1 1.00000+ 1 3.20000+ 1 5.38377- 7 1.32397- 1 1.00000+ 1 3.30000+ 1 8.39852- 7 1.32411- 1 1.10000+ 1 1.10000+ 1 6.18923- 5 1.28616- 1 1.10000+ 1 1.30000+ 1 1.81318- 5 1.29237- 1 1.10000+ 1 1.40000+ 1 1.33088- 5 1.29493- 1 1.10000+ 1 1.60000+ 1 2.20737- 5 1.32006- 1 1.10000+ 1 1.80000+ 1 3.31647- 5 1.32189- 1 1.10000+ 1 1.90000+ 1 3.30347- 5 1.32547- 1 1.10000+ 1 2.10000+ 1 5.55594- 6 1.32839- 1 1.10000+ 1 2.20000+ 1 4.06995- 6 1.32903- 1 1.10000+ 1 2.40000+ 1 8.61383- 8 1.33289- 1 1.10000+ 1 2.50000+ 1 8.61383- 8 1.33307- 1 1.10000+ 1 2.70000+ 1 5.94384- 6 1.33434- 1 1.10000+ 1 2.90000+ 1 8.52764- 6 1.33510- 1 1.10000+ 1 3.00000+ 1 8.42004- 6 1.33602- 1 1.10000+ 1 3.20000+ 1 1.24898- 6 1.33715- 1 1.10000+ 1 3.30000+ 1 9.04433- 7 1.33728- 1 1.30000+ 1 1.30000+ 1 6.46040- 8 1.29859- 1 1.30000+ 1 1.40000+ 1 1.78734- 6 1.30115- 1 1.30000+ 1 1.60000+ 1 1.87344- 6 1.32628- 1 1.30000+ 1 1.80000+ 1 2.06734- 6 1.32811- 1 1.30000+ 1 1.90000+ 1 4.60856- 6 1.33169- 1 1.30000+ 1 2.10000+ 1 4.30687- 8 1.33461- 1 1.30000+ 1 2.20000+ 1 5.16825- 7 1.33524- 1 1.30000+ 1 2.50000+ 1 2.15353- 8 1.33928- 1 1.30000+ 1 2.70000+ 1 4.95305- 7 1.34056- 1 1.30000+ 1 2.90000+ 1 5.38374- 7 1.34132- 1 1.30000+ 1 3.00000+ 1 1.16287- 6 1.34224- 1 1.30000+ 1 3.30000+ 1 1.07677- 7 1.34350- 1 1.40000+ 1 1.40000+ 1 4.52232- 7 1.30371- 1 1.40000+ 1 1.60000+ 1 9.90603- 7 1.32884- 1 1.40000+ 1 1.80000+ 1 2.97188- 6 1.33067- 1 1.40000+ 1 1.90000+ 1 3.33777- 6 1.33424- 1 1.40000+ 1 2.10000+ 1 5.16819- 7 1.33716- 1 1.40000+ 1 2.20000+ 1 2.58420- 7 1.33780- 1 1.40000+ 1 2.70000+ 1 2.58420- 7 1.34312- 1 1.40000+ 1 2.90000+ 1 7.53692- 7 1.34388- 1 1.40000+ 1 3.00000+ 1 8.39840- 7 1.34480- 1 1.40000+ 1 3.20000+ 1 1.07676- 7 1.34592- 1 1.40000+ 1 3.30000+ 1 6.46034- 8 1.34606- 1 1.60000+ 1 1.60000+ 1 1.11336- 5 1.35397- 1 1.60000+ 1 1.80000+ 1 2.05223- 5 1.35580- 1 1.60000+ 1 1.90000+ 1 6.07279- 6 1.35938- 1 1.60000+ 1 2.10000+ 1 5.81440- 7 1.36230- 1 1.60000+ 1 2.20000+ 1 3.01499- 7 1.36294- 1 1.60000+ 1 2.70000+ 1 6.09419- 6 1.36825- 1 1.60000+ 1 2.90000+ 1 5.34061- 6 1.36901- 1 1.60000+ 1 3.00000+ 1 1.55054- 6 1.36993- 1 1.60000+ 1 3.20000+ 1 1.29205- 7 1.37106- 1 1.60000+ 1 3.30000+ 1 6.46037- 8 1.37119- 1 1.80000+ 1 1.80000+ 1 4.52258- 7 1.35763- 1 1.80000+ 1 1.90000+ 1 8.85158- 6 1.36120- 1 1.80000+ 1 2.10000+ 1 6.24550- 7 1.36412- 1 1.80000+ 1 2.20000+ 1 9.04458- 7 1.36476- 1 1.80000+ 1 2.40000+ 1 2.15364- 8 1.36862- 1 1.80000+ 1 2.50000+ 1 2.15364- 8 1.36880- 1 1.80000+ 1 2.70000+ 1 5.57780- 6 1.37008- 1 1.80000+ 1 2.90000+ 1 2.36894- 7 1.37084- 1 1.80000+ 1 3.00000+ 1 2.23974- 6 1.37176- 1 1.80000+ 1 3.20000+ 1 1.50742- 7 1.37288- 1 1.80000+ 1 3.30000+ 1 1.93823- 7 1.37302- 1 1.90000+ 1 1.90000+ 1 4.41482- 6 1.36478- 1 1.90000+ 1 2.10000+ 1 1.42130- 6 1.36770- 1 1.90000+ 1 2.20000+ 1 1.03371- 6 1.36834- 1 1.90000+ 1 2.40000+ 1 2.15361- 8 1.37220- 1 1.90000+ 1 2.50000+ 1 2.15361- 8 1.37238- 1 1.90000+ 1 2.70000+ 1 1.63670- 6 1.37365- 1 1.90000+ 1 2.90000+ 1 2.28271- 6 1.37441- 1 1.90000+ 1 3.00000+ 1 2.23971- 6 1.37534- 1 1.90000+ 1 3.20000+ 1 3.23032- 7 1.37646- 1 1.90000+ 1 3.30000+ 1 2.36891- 7 1.37660- 1 2.10000+ 1 2.20000+ 1 1.55569- 7 1.37126- 1 2.10000+ 1 2.70000+ 1 1.55569- 7 1.37657- 1 2.10000+ 1 2.90000+ 1 1.55569- 7 1.37733- 1 2.10000+ 1 3.00000+ 1 3.77829- 7 1.37826- 1 2.10000+ 1 3.30000+ 1 4.44498- 8 1.37952- 1 2.20000+ 1 2.20000+ 1 4.30688- 8 1.37190- 1 2.20000+ 1 2.70000+ 1 8.61370- 8 1.37721- 1 2.20000+ 1 2.90000+ 1 2.36884- 7 1.37797- 1 2.20000+ 1 3.00000+ 1 2.58423- 7 1.37890- 1 2.20000+ 1 3.20000+ 1 4.30688- 8 1.38002- 1 2.20000+ 1 3.30000+ 1 2.15354- 8 1.38015- 1 2.70000+ 1 2.70000+ 1 8.50550- 7 1.38253- 1 2.70000+ 1 2.90000+ 1 1.46124- 6 1.38329- 1 2.70000+ 1 3.00000+ 1 4.14371- 7 1.38421- 1 2.70000+ 1 3.20000+ 1 4.36175- 8 1.38533- 1 2.70000+ 1 3.30000+ 1 2.18098- 8 1.38547- 1 2.90000+ 1 2.90000+ 1 2.15354- 8 1.38404- 1 2.90000+ 1 3.00000+ 1 5.81444- 7 1.38497- 1 2.90000+ 1 3.20000+ 1 4.30688- 8 1.38609- 1 2.90000+ 1 3.30000+ 1 4.30688- 8 1.38623- 1 3.00000+ 1 3.00000+ 1 2.85526- 7 1.38589- 1 3.00000+ 1 3.20000+ 1 8.78518- 8 1.38701- 1 3.00000+ 1 3.30000+ 1 6.58904- 8 1.38715- 1 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.34660- 5 8.17000- 4 6.00000+ 0 1.77941- 2 6.41500- 3 1.00000+ 1 7.71113- 2 2.02594- 2 1.10000+ 1 5.40262- 2 2.15768- 2 1.30000+ 1 4.17221- 3 2.21985- 2 1.40000+ 1 6.18412- 3 2.24544- 2 1.80000+ 1 2.13281- 2 2.51504- 2 1.90000+ 1 1.79191- 2 2.55081- 2 2.10000+ 1 7.60193- 4 2.58000- 2 2.20000+ 1 1.22540- 3 2.58639- 2 2.90000+ 1 5.57452- 3 2.64712- 2 3.00000+ 1 4.76962- 3 2.65636- 2 3.20000+ 1 1.51451- 4 2.66758- 2 3.30000+ 1 2.46541- 4 2.66895- 2 4.30000+ 1 9.44603- 4 2.67840- 2 4.40000+ 1 6.99662- 4 2.67986- 2 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.40000+ 1 1.15301- 2 2.43070- 4 5.00000+ 0 2.50000+ 1 1.54211- 2 2.60870- 4 5.00000+ 0 2.70000+ 1 5.58933- 3 3.88370- 4 5.00000+ 0 2.90000+ 1 4.81033- 3 4.64240- 4 5.00000+ 0 3.00000+ 1 3.38582- 3 5.56640- 4 5.00000+ 0 3.20000+ 1 9.53245- 4 6.68830- 4 5.00000+ 0 3.30000+ 1 1.14321- 3 6.82520- 4 6.00000+ 0 1.10000+ 1 3.19858- 2 1.16780- 3 6.00000+ 0 1.30000+ 1 1.88538- 1 1.78950- 3 6.00000+ 0 1.40000+ 1 2.19798- 1 2.04540- 3 6.00000+ 0 1.60000+ 1 1.62009- 2 4.55870- 3 6.00000+ 0 1.80000+ 1 6.31806- 3 4.74140- 3 6.00000+ 0 1.90000+ 1 8.33905- 3 5.09910- 3 6.00000+ 0 2.10000+ 1 3.28168- 2 5.39100- 3 6.00000+ 0 2.20000+ 1 3.67828- 2 5.45493- 3 6.00000+ 0 2.40000+ 1 1.71529- 2 5.84107- 3 6.00000+ 0 2.50000+ 1 2.06218- 2 5.85887- 3 6.00000+ 0 2.70000+ 1 4.16028- 3 5.98637- 3 6.00000+ 0 2.90000+ 1 1.63259- 3 6.06224- 3 6.00000+ 0 3.00000+ 1 2.11858- 3 6.15464- 3 6.00000+ 0 3.20000+ 1 6.67416- 3 6.26683- 3 6.00000+ 0 3.30000+ 1 7.31156- 3 6.28052- 3 8.00000+ 0 8.00000+ 0 5.96982- 3 1.29178- 2 8.00000+ 0 1.00000+ 1 1.27841- 2 1.33063- 2 8.00000+ 0 1.10000+ 1 1.61531- 2 1.46237- 2 8.00000+ 0 1.30000+ 1 1.10151- 2 1.52454- 2 8.00000+ 0 1.40000+ 1 1.26041- 2 1.55013- 2 8.00000+ 0 1.60000+ 1 2.78011- 3 1.80146- 2 8.00000+ 0 1.80000+ 1 3.41132- 3 1.81973- 2 8.00000+ 0 1.90000+ 1 4.34012- 3 1.85550- 2 8.00000+ 0 2.10000+ 1 2.85251- 3 1.88469- 2 8.00000+ 0 2.20000+ 1 3.26951- 3 1.89108- 2 8.00000+ 0 2.40000+ 1 2.63871- 4 1.92970- 2 8.00000+ 0 2.50000+ 1 2.60971- 4 1.93148- 2 8.00000+ 0 2.70000+ 1 7.37693- 4 1.94423- 2 8.00000+ 0 2.90000+ 1 8.83825- 4 1.95181- 2 8.00000+ 0 3.00000+ 1 1.10551- 3 1.96105- 2 8.00000+ 0 3.20000+ 1 6.20133- 4 1.97227- 2 8.00000+ 0 3.30000+ 1 7.01493- 4 1.97364- 2 1.00000+ 1 1.00000+ 1 9.68901- 6 1.36948- 2 1.00000+ 1 1.10000+ 1 2.40300- 4 1.50122- 2 1.00000+ 1 1.30000+ 1 8.25332- 4 1.56339- 2 1.00000+ 1 1.40000+ 1 5.26231- 3 1.58898- 2 1.00000+ 1 1.60000+ 1 2.37380- 3 1.84031- 2 1.00000+ 1 1.80000+ 1 1.29191- 6 1.85858- 2 1.00000+ 1 1.90000+ 1 5.16771- 5 1.89435- 2 1.00000+ 1 2.10000+ 1 1.75221- 4 1.92354- 2 1.00000+ 1 2.20000+ 1 8.96092- 4 1.92993- 2 1.00000+ 1 2.40000+ 1 1.04320- 4 1.96855- 2 1.00000+ 1 2.50000+ 1 3.54151- 4 1.97033- 2 1.00000+ 1 2.70000+ 1 5.90731- 4 1.98308- 2 1.00000+ 1 2.90000+ 1 3.22980- 7 1.99066- 2 1.00000+ 1 3.00000+ 1 1.24341- 5 1.99990- 2 1.00000+ 1 3.20000+ 1 3.69811- 5 2.01112- 2 1.00000+ 1 3.30000+ 1 1.75381- 4 2.01249- 2 1.10000+ 1 1.10000+ 1 8.77678- 4 1.63296- 2 1.10000+ 1 1.30000+ 1 1.40710- 3 1.69513- 2 1.10000+ 1 1.40000+ 1 9.07508- 4 1.72072- 2 1.10000+ 1 1.60000+ 1 2.86619- 3 1.97205- 2 1.10000+ 1 1.80000+ 1 6.68548- 5 1.99032- 2 1.10000+ 1 1.90000+ 1 3.74969- 4 2.02609- 2 1.10000+ 1 2.10000+ 1 2.01049- 4 2.05528- 2 1.10000+ 1 2.20000+ 1 9.83457- 5 2.06167- 2 1.10000+ 1 2.40000+ 1 8.51068- 5 2.10029- 2 1.10000+ 1 2.50000+ 1 7.83208- 5 2.10207- 2 1.10000+ 1 2.70000+ 1 7.04748- 4 2.11482- 2 1.10000+ 1 2.90000+ 1 1.74410- 5 2.12240- 2 1.10000+ 1 3.00000+ 1 9.05928- 5 2.13164- 2 1.10000+ 1 3.20000+ 1 3.90799- 5 2.14286- 2 1.10000+ 1 3.30000+ 1 1.74410- 5 2.14423- 2 1.30000+ 1 1.30000+ 1 5.93771- 4 1.75730- 2 1.30000+ 1 1.40000+ 1 1.56018- 2 1.78289- 2 1.30000+ 1 1.60000+ 1 1.73238- 3 2.03422- 2 1.30000+ 1 1.80000+ 1 2.51116- 4 2.05249- 2 1.30000+ 1 1.90000+ 1 3.73685- 4 2.08826- 2 1.30000+ 1 2.10000+ 1 2.99555- 4 2.11745- 2 1.30000+ 1 2.20000+ 1 2.84026- 3 2.12384- 2 1.30000+ 1 2.40000+ 1 2.43846- 4 2.16246- 2 1.30000+ 1 2.50000+ 1 6.52100- 4 2.16424- 2 1.30000+ 1 2.70000+ 1 4.13244- 4 2.17699- 2 1.30000+ 1 2.90000+ 1 6.71800- 5 2.18457- 2 1.30000+ 1 3.00000+ 1 9.64085- 5 2.19381- 2 1.30000+ 1 3.20000+ 1 6.49190- 5 2.20503- 2 1.30000+ 1 3.30000+ 1 5.61811- 4 2.20640- 2 1.40000+ 1 1.40000+ 1 4.17860- 3 1.80848- 2 1.40000+ 1 1.60000+ 1 2.00944- 3 2.05981- 2 1.40000+ 1 1.80000+ 1 1.22703- 3 2.07808- 2 1.40000+ 1 1.90000+ 1 2.18655- 4 2.11385- 2 1.40000+ 1 2.10000+ 1 2.68906- 3 2.14304- 2 1.40000+ 1 2.20000+ 1 1.60134- 3 2.14943- 2 1.40000+ 1 2.40000+ 1 7.11356- 4 2.18805- 2 1.40000+ 1 2.50000+ 1 5.17102- 4 2.18983- 2 1.40000+ 1 2.70000+ 1 4.83181- 4 2.20258- 2 1.40000+ 1 2.90000+ 1 3.08767- 4 2.21016- 2 1.40000+ 1 3.00000+ 1 5.58762- 5 2.21940- 2 1.40000+ 1 3.20000+ 1 5.32442- 4 2.23062- 2 1.40000+ 1 3.30000+ 1 3.21207- 4 2.23199- 2 1.60000+ 1 1.60000+ 1 3.06022- 4 2.31114- 2 1.60000+ 1 1.80000+ 1 6.34193- 4 2.32941- 2 1.60000+ 1 1.90000+ 1 7.74844- 4 2.36518- 2 1.60000+ 1 2.10000+ 1 4.54113- 4 2.39437- 2 1.60000+ 1 2.20000+ 1 5.23393- 4 2.40076- 2 1.60000+ 1 2.40000+ 1 3.55282- 5 2.43938- 2 1.60000+ 1 2.50000+ 1 3.27832- 5 2.44116- 2 1.60000+ 1 2.70000+ 1 1.60191- 4 2.45391- 2 1.60000+ 1 2.90000+ 1 1.64391- 4 2.46149- 2 1.60000+ 1 3.00000+ 1 1.97661- 4 2.47073- 2 1.60000+ 1 3.20000+ 1 9.89915- 5 2.48195- 2 1.60000+ 1 3.30000+ 1 1.12401- 4 2.48332- 2 1.80000+ 1 1.80000+ 1 1.61490- 7 2.34768- 2 1.80000+ 1 1.90000+ 1 1.42110- 5 2.38345- 2 1.80000+ 1 2.10000+ 1 4.94161- 5 2.41264- 2 1.80000+ 1 2.20000+ 1 2.18490- 4 2.41903- 2 1.80000+ 1 2.40000+ 1 1.51800- 5 2.45765- 2 1.80000+ 1 2.50000+ 1 5.86200- 5 2.45943- 2 1.80000+ 1 2.70000+ 1 1.57780- 4 2.47218- 2 1.80000+ 1 3.00000+ 1 3.39120- 6 2.48900- 2 1.80000+ 1 3.20000+ 1 1.01740- 5 2.50022- 2 1.80000+ 1 3.30000+ 1 4.31180- 5 2.50159- 2 1.90000+ 1 1.90000+ 1 3.85962- 5 2.41922- 2 1.90000+ 1 2.10000+ 1 4.90932- 5 2.44841- 2 1.90000+ 1 2.20000+ 1 2.16391- 5 2.45480- 2 1.90000+ 1 2.40000+ 1 2.26081- 5 2.49342- 2 1.90000+ 1 2.50000+ 1 1.95400- 5 2.49520- 2 1.90000+ 1 2.70000+ 1 1.90720- 4 2.50795- 2 1.90000+ 1 2.90000+ 1 3.71422- 6 2.51553- 2 1.90000+ 1 3.00000+ 1 1.85710- 5 2.52477- 2 1.90000+ 1 3.20000+ 1 9.20495- 6 2.53599- 2 1.90000+ 1 3.30000+ 1 3.71422- 6 2.53736- 2 2.10000+ 1 2.10000+ 1 3.48820- 5 2.47760- 2 2.10000+ 1 2.20000+ 1 5.35011- 4 2.48399- 2 2.10000+ 1 2.40000+ 1 4.31180- 5 2.52261- 2 2.10000+ 1 2.50000+ 1 8.63981- 5 2.52439- 2 2.10000+ 1 2.70000+ 1 1.08680- 4 2.53714- 2 2.10000+ 1 2.90000+ 1 1.30810- 5 2.54472- 2 2.10000+ 1 3.00000+ 1 1.25960- 5 2.55396- 2 2.10000+ 1 3.20000+ 1 1.48570- 5 2.56518- 2 2.10000+ 1 3.30000+ 1 1.07880- 4 2.56655- 2 2.20000+ 1 2.20000+ 1 1.64390- 4 2.49039- 2 2.20000+ 1 2.40000+ 1 1.02380- 4 2.52900- 2 2.20000+ 1 2.50000+ 1 8.17147- 5 2.53078- 2 2.20000+ 1 2.70000+ 1 1.25800- 4 2.54353- 2 2.20000+ 1 2.90000+ 1 5.55517- 5 2.55112- 2 2.20000+ 1 3.00000+ 1 5.65207- 6 2.56036- 2 2.20000+ 1 3.20000+ 1 1.07880- 4 2.57158- 2 2.20000+ 1 3.30000+ 1 6.68547- 5 2.57294- 2 2.40000+ 1 2.40000+ 1 1.29191- 6 2.56761- 2 2.40000+ 1 2.50000+ 1 2.27700- 5 2.56939- 2 2.40000+ 1 2.70000+ 1 8.23603- 6 2.58214- 2 2.40000+ 1 2.90000+ 1 3.39121- 6 2.58973- 2 2.40000+ 1 3.00000+ 1 5.65211- 6 2.59897- 2 2.40000+ 1 3.20000+ 1 8.72093- 6 2.61019- 2 2.40000+ 1 3.30000+ 1 1.92170- 5 2.61156- 2 2.50000+ 1 2.50000+ 1 4.68317- 6 2.57117- 2 2.50000+ 1 2.70000+ 1 7.42855- 6 2.58392- 2 2.50000+ 1 2.90000+ 1 1.35649- 5 2.59151- 2 2.50000+ 1 3.00000+ 1 4.84467- 6 2.60075- 2 2.50000+ 1 3.20000+ 1 1.61489- 5 2.61197- 2 2.50000+ 1 3.30000+ 1 1.56649- 5 2.61334- 2 2.70000+ 1 2.70000+ 1 2.08336- 5 2.59667- 2 2.70000+ 1 2.90000+ 1 4.08582- 5 2.60426- 2 2.70000+ 1 3.00000+ 1 4.86094- 5 2.61350- 2 2.70000+ 1 3.20000+ 1 2.37396- 5 2.62472- 2 2.70000+ 1 3.30000+ 1 2.69697- 5 2.62609- 2 2.90000+ 1 3.00000+ 1 9.68888- 7 2.62109- 2 2.90000+ 1 3.20000+ 1 2.74526- 6 2.63231- 2 2.90000+ 1 3.30000+ 1 1.09809- 5 2.63368- 2 3.00000+ 1 3.00000+ 1 2.27401- 6 2.63033- 2 3.00000+ 1 3.20000+ 1 2.43645- 6 2.64155- 2 3.00000+ 1 3.30000+ 1 9.74561- 7 2.64292- 2 3.20000+ 1 3.20000+ 1 1.61492- 6 2.65277- 2 3.20000+ 1 3.30000+ 1 2.18012- 5 2.65413- 2 3.30000+ 1 3.30000+ 1 6.78222- 6 2.65550- 2 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 8.50454- 5 5.59800- 3 8.00000+ 0 1.17541- 2 1.90539- 2 1.10000+ 1 6.89953- 4 2.07598- 2 1.30000+ 1 4.02832- 1 2.13815- 2 1.60000+ 1 3.28012- 3 2.41507- 2 1.90000+ 1 2.20011- 4 2.46911- 2 2.10000+ 1 9.70975- 2 2.49830- 2 2.40000+ 1 7.29923- 4 2.54331- 2 2.70000+ 1 9.00184- 4 2.55784- 2 3.00000+ 1 5.80843- 5 2.57466- 2 3.20000+ 1 2.08411- 2 2.58588- 2 3.50000+ 1 7.79604- 5 2.59955- 2 4.10000+ 1 1.81171- 4 2.59441- 2 4.40000+ 1 8.50454- 6 2.59816- 2 5.80000+ 1 1.47361- 5 2.60012- 2 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.10000+ 1 2.05573- 2 3.50800- 4 6.00000+ 0 1.30000+ 1 8.50588- 2 9.72500- 4 6.00000+ 0 1.40000+ 1 2.75554- 2 1.22840- 3 6.00000+ 0 1.60000+ 1 2.50579- 3 3.74170- 3 6.00000+ 0 1.80000+ 1 2.30469- 2 3.92440- 3 6.00000+ 0 1.90000+ 1 4.60196- 3 4.28210- 3 6.00000+ 0 2.10000+ 1 1.76722- 2 4.57400- 3 6.00000+ 0 2.20000+ 1 5.93687- 3 4.63793- 3 6.00000+ 0 2.40000+ 1 9.59024- 4 5.02407- 3 6.00000+ 0 2.50000+ 1 1.32737- 3 5.04187- 3 6.00000+ 0 2.70000+ 1 6.28831- 4 5.16937- 3 6.00000+ 0 2.90000+ 1 5.38294- 3 5.24524- 3 6.00000+ 0 3.00000+ 1 1.13392- 3 5.33764- 3 6.00000+ 0 3.20000+ 1 3.66893- 3 5.44983- 3 6.00000+ 0 3.30000+ 1 1.23470- 3 5.46352- 3 8.00000+ 0 8.00000+ 0 2.95604- 4 1.21008- 2 8.00000+ 0 1.00000+ 1 1.42866- 2 1.24893- 2 8.00000+ 0 1.10000+ 1 1.16939- 3 1.38067- 2 8.00000+ 0 1.30000+ 1 2.96506- 3 1.44284- 2 8.00000+ 0 1.40000+ 1 7.51657- 4 1.46843- 2 8.00000+ 0 1.60000+ 1 1.21914- 4 1.71976- 2 8.00000+ 0 1.80000+ 1 2.52859- 3 1.73803- 2 8.00000+ 0 1.90000+ 1 2.83998- 4 1.77380- 2 8.00000+ 0 2.10000+ 1 5.55222- 4 1.80299- 2 8.00000+ 0 2.20000+ 1 1.19129- 4 1.80938- 2 8.00000+ 0 2.40000+ 1 4.94616- 5 1.84800- 2 8.00000+ 0 2.50000+ 1 3.83158- 5 1.84978- 2 8.00000+ 0 2.70000+ 1 3.13484- 5 1.86253- 2 8.00000+ 0 2.90000+ 1 5.95400- 4 1.87011- 2 8.00000+ 0 3.00000+ 1 7.05948- 5 1.87935- 2 8.00000+ 0 3.20000+ 1 1.12619- 4 1.89057- 2 8.00000+ 0 3.30000+ 1 2.32214- 5 1.89194- 2 1.00000+ 1 1.00000+ 1 1.55920- 2 1.28778- 2 1.00000+ 1 1.10000+ 1 3.14082- 2 1.41952- 2 1.00000+ 1 1.30000+ 1 1.55653- 2 1.48169- 2 1.00000+ 1 1.40000+ 1 1.78240- 2 1.50728- 2 1.00000+ 1 1.60000+ 1 3.98523- 3 1.75861- 2 1.00000+ 1 1.80000+ 1 7.00058- 3 1.77688- 2 1.00000+ 1 1.90000+ 1 8.26343- 3 1.81265- 2 1.00000+ 1 2.10000+ 1 4.00822- 3 1.84184- 2 1.00000+ 1 2.20000+ 1 4.64601- 3 1.84823- 2 1.00000+ 1 2.40000+ 1 3.10008- 4 1.88685- 2 1.00000+ 1 2.50000+ 1 2.33148- 4 1.88863- 2 1.00000+ 1 2.70000+ 1 1.09438- 3 1.90138- 2 1.00000+ 1 2.90000+ 1 1.75445- 3 1.90896- 2 1.00000+ 1 3.00000+ 1 2.09530- 3 1.91820- 2 1.00000+ 1 3.20000+ 1 8.71499- 4 1.92942- 2 1.00000+ 1 3.30000+ 1 9.98742- 4 1.93079- 2 1.10000+ 1 1.10000+ 1 5.63573- 4 1.55126- 2 1.10000+ 1 1.30000+ 1 1.01875- 2 1.61343- 2 1.10000+ 1 1.40000+ 1 1.65987- 3 1.63902- 2 1.10000+ 1 1.60000+ 1 2.69596- 4 1.89035- 2 1.10000+ 1 1.80000+ 1 5.51670- 3 1.90862- 2 1.10000+ 1 1.90000+ 1 2.58684- 4 1.94439- 2 1.10000+ 1 2.10000+ 1 2.28080- 3 1.97358- 2 1.10000+ 1 2.20000+ 1 3.63868- 4 1.97997- 2 1.10000+ 1 2.40000+ 1 8.12723- 5 2.01859- 2 1.10000+ 1 2.50000+ 1 3.87793- 5 2.02037- 2 1.10000+ 1 2.70000+ 1 7.05943- 5 2.03312- 2 1.10000+ 1 2.90000+ 1 1.29505- 3 2.04070- 2 1.10000+ 1 3.00000+ 1 6.33950- 5 2.04994- 2 1.10000+ 1 3.20000+ 1 4.79995- 4 2.06116- 2 1.10000+ 1 3.30000+ 1 7.54695- 5 2.06253- 2 1.30000+ 1 1.30000+ 1 9.64543- 3 1.67560- 2 1.30000+ 1 1.40000+ 1 3.60373- 2 1.70119- 2 1.30000+ 1 1.60000+ 1 8.27420- 4 1.95252- 2 1.30000+ 1 1.80000+ 1 2.62292- 3 1.97079- 2 1.30000+ 1 1.90000+ 1 2.44719- 3 2.00656- 2 1.30000+ 1 2.10000+ 1 4.13308- 3 2.03575- 2 1.30000+ 1 2.20000+ 1 8.35439- 3 2.04214- 2 1.30000+ 1 2.40000+ 1 8.92409- 4 2.08076- 2 1.30000+ 1 2.50000+ 1 1.74586- 3 2.08254- 2 1.30000+ 1 2.70000+ 1 2.27810- 4 2.09529- 2 1.30000+ 1 2.90000+ 1 6.16073- 4 2.10287- 2 1.30000+ 1 3.00000+ 1 6.07033- 4 2.11211- 2 1.30000+ 1 3.20000+ 1 8.66391- 4 2.12333- 2 1.30000+ 1 3.30000+ 1 1.75002- 3 2.12470- 2 1.40000+ 1 1.40000+ 1 1.76571- 3 1.72678- 2 1.40000+ 1 1.60000+ 1 1.69287- 4 1.97811- 2 1.40000+ 1 1.80000+ 1 2.59585- 3 1.99638- 2 1.40000+ 1 1.90000+ 1 3.69219- 4 2.03215- 2 1.40000+ 1 2.10000+ 1 6.35929- 3 2.06134- 2 1.40000+ 1 2.20000+ 1 7.50032- 4 2.06773- 2 1.40000+ 1 2.40000+ 1 3.55977- 4 2.10635- 2 1.40000+ 1 2.50000+ 1 1.34222- 4 2.10813- 2 1.40000+ 1 2.70000+ 1 4.43519- 5 2.12088- 2 1.40000+ 1 2.90000+ 1 5.81687- 4 2.12846- 2 1.40000+ 1 3.00000+ 1 9.00994- 5 2.13770- 2 1.40000+ 1 3.20000+ 1 1.27047- 3 2.14892- 2 1.40000+ 1 3.30000+ 1 1.54887- 4 2.15029- 2 1.60000+ 1 1.60000+ 1 1.20756- 5 2.22944- 2 1.60000+ 1 1.80000+ 1 7.09183- 4 2.24771- 2 1.60000+ 1 1.90000+ 1 6.57160- 5 2.28348- 2 1.60000+ 1 2.10000+ 1 1.52333- 4 2.31267- 2 1.60000+ 1 2.20000+ 1 2.64724- 5 2.31906- 2 1.60000+ 1 2.40000+ 1 1.16107- 5 2.35768- 2 1.60000+ 1 2.50000+ 1 7.43088- 6 2.35946- 2 1.60000+ 1 2.70000+ 1 6.03748- 6 2.37221- 2 1.60000+ 1 2.90000+ 1 1.67198- 4 2.37979- 2 1.60000+ 1 3.00000+ 1 1.64879- 5 2.38903- 2 1.60000+ 1 3.20000+ 1 3.06528- 5 2.40025- 2 1.60000+ 1 3.30000+ 1 5.10853- 6 2.40162- 2 1.80000+ 1 1.80000+ 1 7.47978- 4 2.26598- 2 1.80000+ 1 1.90000+ 1 1.45880- 3 2.30175- 2 1.80000+ 1 2.10000+ 1 6.65974- 4 2.33094- 2 1.80000+ 1 2.20000+ 1 6.85023- 4 2.33733- 2 1.80000+ 1 2.40000+ 1 4.31924- 5 2.37595- 2 1.80000+ 1 2.50000+ 1 2.39184- 5 2.37773- 2 1.80000+ 1 2.70000+ 1 1.94832- 4 2.39048- 2 1.80000+ 1 2.90000+ 1 3.70614- 4 2.39806- 2 1.80000+ 1 3.00000+ 1 3.70148- 4 2.40730- 2 1.80000+ 1 3.20000+ 1 1.44443- 4 2.41852- 2 1.80000+ 1 3.30000+ 1 1.47694- 4 2.41989- 2 1.90000+ 1 1.90000+ 1 2.97252- 5 2.33752- 2 1.90000+ 1 2.10000+ 1 5.51053- 4 2.36671- 2 1.90000+ 1 2.20000+ 1 8.15111- 5 2.37310- 2 1.90000+ 1 2.40000+ 1 1.85778- 5 2.41172- 2 1.90000+ 1 2.50000+ 1 7.89560- 6 2.41350- 2 1.90000+ 1 2.70000+ 1 1.71843- 5 2.42625- 2 1.90000+ 1 2.90000+ 1 3.42765- 4 2.43383- 2 1.90000+ 1 3.00000+ 1 1.46302- 5 2.44307- 2 1.90000+ 1 3.20000+ 1 1.16111- 4 2.45429- 2 1.90000+ 1 3.30000+ 1 1.69524- 5 2.45566- 2 2.10000+ 1 2.10000+ 1 4.42376- 4 2.39590- 2 2.10000+ 1 2.20000+ 1 1.53633- 3 2.40229- 2 2.10000+ 1 2.40000+ 1 1.33523- 4 2.44091- 2 2.10000+ 1 2.50000+ 1 2.60784- 4 2.44269- 2 2.10000+ 1 2.70000+ 1 4.17993- 5 2.45544- 2 2.10000+ 1 2.90000+ 1 1.55585- 4 2.46302- 2 2.10000+ 1 3.00000+ 1 1.37002- 4 2.47226- 2 2.10000+ 1 3.20000+ 1 1.85309- 4 2.48348- 2 2.10000+ 1 3.30000+ 1 3.24403- 4 2.48485- 2 2.20000+ 1 2.20000+ 1 8.08124- 5 2.40869- 2 2.20000+ 1 2.40000+ 1 5.80554- 5 2.44730- 2 2.20000+ 1 2.50000+ 1 2.25250- 5 2.44908- 2 2.20000+ 1 2.70000+ 1 6.96644- 6 2.46183- 2 2.20000+ 1 2.90000+ 1 1.53970- 4 2.46942- 2 2.20000+ 1 3.00000+ 1 1.99709- 5 2.47866- 2 2.20000+ 1 3.20000+ 1 3.09544- 4 2.48988- 2 2.20000+ 1 3.30000+ 1 3.34392- 5 2.49124- 2 2.40000+ 1 2.40000+ 1 3.48329- 6 2.48591- 2 2.40000+ 1 2.50000+ 1 2.32220- 5 2.48769- 2 2.40000+ 1 2.70000+ 1 3.01885- 6 2.50044- 2 2.40000+ 1 2.90000+ 1 9.75281- 6 2.50803- 2 2.40000+ 1 3.00000+ 1 4.41216- 6 2.51727- 2 2.40000+ 1 3.20000+ 1 2.57761- 5 2.52849- 2 2.40000+ 1 3.30000+ 1 1.11462- 5 2.52986- 2 2.50000+ 1 2.50000+ 1 1.39320- 6 2.48947- 2 2.50000+ 1 2.70000+ 1 1.85773- 6 2.50222- 2 2.50000+ 1 2.90000+ 1 4.87665- 6 2.50981- 2 2.50000+ 1 3.00000+ 1 1.85773- 6 2.51905- 2 2.50000+ 1 3.20000+ 1 5.01589- 5 2.53027- 2 2.50000+ 1 3.30000+ 1 4.41211- 6 2.53164- 2 2.70000+ 1 2.70000+ 1 6.96643- 7 2.51497- 2 2.70000+ 1 2.90000+ 1 4.59787- 5 2.52256- 2 2.70000+ 1 3.00000+ 1 4.17991- 6 2.53180- 2 2.70000+ 1 3.20000+ 1 8.35982- 6 2.54302- 2 2.70000+ 1 3.30000+ 1 1.39320- 6 2.54439- 2 2.90000+ 1 2.90000+ 1 4.57476- 5 2.53015- 2 2.90000+ 1 3.00000+ 1 8.70827- 5 2.53939- 2 2.90000+ 1 3.20000+ 1 3.36727- 5 2.55061- 2 2.90000+ 1 3.30000+ 1 3.32079- 5 2.55198- 2 3.00000+ 1 3.00000+ 1 1.85772- 6 2.54863- 2 3.00000+ 1 3.20000+ 1 2.87946- 5 2.55985- 2 3.00000+ 1 3.30000+ 1 4.17988- 6 2.56122- 2 3.20000+ 1 3.20000+ 1 1.95062- 5 2.57107- 2 3.20000+ 1 3.30000+ 1 6.54862- 5 2.57243- 2 3.30000+ 1 3.30000+ 1 3.48322- 6 2.57380- 2 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 2.64260- 2 1.34559- 2 1.00000+ 1 3.49730- 4 1.38444- 2 1.10000+ 1 3.23230- 4 1.51618- 2 1.30000+ 1 3.87240- 2 1.57835- 2 1.40000+ 1 3.39740- 1 1.60394- 2 1.60000+ 1 6.81630- 3 1.85527- 2 1.80000+ 1 7.49400- 5 1.87354- 2 1.90000+ 1 9.08400- 5 1.90931- 2 2.10000+ 1 8.07050- 3 1.93850- 2 2.20000+ 1 7.46720- 2 1.94489- 2 2.40000+ 1 1.34980- 4 1.98351- 2 2.50000+ 1 7.36610- 4 1.98529- 2 2.70000+ 1 1.84090- 3 1.99804- 2 2.90000+ 1 1.84430- 5 2.00562- 2 3.00000+ 1 2.32930- 5 2.01486- 2 3.20000+ 1 1.67920- 3 2.02608- 2 3.30000+ 1 1.55190- 2 2.02745- 2 3.50000+ 1 1.41830- 5 2.03975- 2 3.60000+ 1 7.50740- 5 2.03994- 2 4.10000+ 1 3.69200- 4 2.03461- 2 4.30000+ 1 3.08410- 6 2.03690- 2 4.40000+ 1 3.39060- 6 2.03836- 2 5.80000+ 1 3.00080- 5 2.04032- 2 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.46299- 4 6.50280- 3 8.00000+ 0 1.00000+ 1 1.06501- 4 6.89130- 3 8.00000+ 0 1.10000+ 1 1.68063- 2 8.20870- 3 8.00000+ 0 1.30000+ 1 3.17712- 3 8.83040- 3 8.00000+ 0 1.40000+ 1 7.00691- 3 9.08630- 3 8.00000+ 0 1.60000+ 1 1.07328- 4 1.15996- 2 8.00000+ 0 1.80000+ 1 1.45853- 5 1.17823- 2 8.00000+ 0 1.90000+ 1 2.89027- 3 1.21400- 2 8.00000+ 0 2.10000+ 1 4.19393- 4 1.24319- 2 8.00000+ 0 2.20000+ 1 8.92171- 4 1.24958- 2 8.00000+ 0 2.40000+ 1 4.21047- 4 1.28820- 2 8.00000+ 0 2.50000+ 1 6.88241- 4 1.28998- 2 8.00000+ 0 2.70000+ 1 2.75193- 5 1.30273- 2 8.00000+ 0 2.90000+ 1 3.30232- 6 1.31031- 2 8.00000+ 0 3.00000+ 1 6.63789- 4 1.31955- 2 8.00000+ 0 3.20000+ 1 7.92552- 5 1.33077- 2 8.00000+ 0 3.30000+ 1 1.62914- 4 1.33214- 2 1.00000+ 1 1.00000+ 1 1.92636- 5 7.27980- 3 1.00000+ 1 1.10000+ 1 2.81272- 2 8.59720- 3 1.00000+ 1 1.30000+ 1 1.22079- 3 9.21890- 3 1.00000+ 1 1.40000+ 1 7.50189- 3 9.47480- 3 1.00000+ 1 1.60000+ 1 2.39420- 5 1.19881- 2 1.00000+ 1 1.80000+ 1 1.56860- 5 1.21708- 2 1.00000+ 1 1.90000+ 1 5.01996- 3 1.25285- 2 1.00000+ 1 2.10000+ 1 2.34748- 4 1.28204- 2 1.00000+ 1 2.20000+ 1 1.21860- 3 1.28843- 2 1.00000+ 1 2.40000+ 1 3.18134- 4 1.32705- 2 1.00000+ 1 2.50000+ 1 7.26266- 4 1.32883- 2 1.00000+ 1 2.70000+ 1 6.32950- 6 1.34158- 2 1.00000+ 1 2.90000+ 1 4.67832- 6 1.34916- 2 1.00000+ 1 3.00000+ 1 1.16213- 3 1.35840- 2 1.00000+ 1 3.20000+ 1 5.00840- 5 1.36962- 2 1.00000+ 1 3.30000+ 1 2.40247- 4 1.37099- 2 1.10000+ 1 1.10000+ 1 3.18280- 2 9.91460- 3 1.10000+ 1 1.30000+ 1 3.33788- 2 1.05363- 2 1.10000+ 1 1.40000+ 1 4.02043- 2 1.07922- 2 1.10000+ 1 1.60000+ 1 4.59741- 3 1.33055- 2 1.10000+ 1 1.80000+ 1 6.89019- 3 1.34882- 2 1.10000+ 1 1.90000+ 1 1.38313- 2 1.38459- 2 1.10000+ 1 2.10000+ 1 7.99724- 3 1.41378- 2 1.10000+ 1 2.20000+ 1 9.64321- 3 1.42017- 2 1.10000+ 1 2.40000+ 1 8.96863- 4 1.45879- 2 1.10000+ 1 2.50000+ 1 1.04220- 3 1.46057- 2 1.10000+ 1 2.70000+ 1 1.25564- 3 1.47332- 2 1.10000+ 1 2.90000+ 1 1.75673- 3 1.48090- 2 1.10000+ 1 3.00000+ 1 3.37523- 3 1.49014- 2 1.10000+ 1 3.20000+ 1 1.71519- 3 1.50136- 2 1.10000+ 1 3.30000+ 1 2.03761- 3 1.50273- 2 1.30000+ 1 1.30000+ 1 4.17243- 3 1.11580- 2 1.30000+ 1 1.40000+ 1 7.73942- 2 1.14139- 2 1.30000+ 1 1.60000+ 1 7.48524- 4 1.39272- 2 1.30000+ 1 1.80000+ 1 3.47287- 4 1.41099- 2 1.30000+ 1 1.90000+ 1 5.32487- 3 1.44676- 2 1.30000+ 1 2.10000+ 1 1.65580- 3 1.47595- 2 1.30000+ 1 2.20000+ 1 1.29258- 2 1.48234- 2 1.30000+ 1 2.40000+ 1 4.70846- 4 1.52096- 2 1.30000+ 1 2.50000+ 1 1.54824- 3 1.52274- 2 1.30000+ 1 2.70000+ 1 2.00618- 4 1.53549- 2 1.30000+ 1 2.90000+ 1 9.02612- 5 1.54307- 2 1.30000+ 1 3.00000+ 1 1.19985- 3 1.55231- 2 1.30000+ 1 3.20000+ 1 3.43163- 4 1.56353- 2 1.30000+ 1 3.30000+ 1 2.52808- 3 1.56490- 2 1.40000+ 1 1.40000+ 1 5.07929- 2 1.16698- 2 1.40000+ 1 1.60000+ 1 1.68107- 3 1.41831- 2 1.40000+ 1 1.80000+ 1 1.65170- 3 1.43658- 2 1.40000+ 1 1.90000+ 1 7.11313- 3 1.47235- 2 1.40000+ 1 2.10000+ 1 1.54363- 2 1.50154- 2 1.40000+ 1 2.20000+ 1 1.95118- 2 1.50793- 2 1.40000+ 1 2.40000+ 1 4.86815- 3 1.54655- 2 1.40000+ 1 2.50000+ 1 4.33990- 3 1.54833- 2 1.40000+ 1 2.70000+ 1 4.54058- 4 1.56108- 2 1.40000+ 1 2.90000+ 1 4.12775- 4 1.56866- 2 1.40000+ 1 3.00000+ 1 1.65747- 3 1.57790- 2 1.40000+ 1 3.20000+ 1 3.18886- 3 1.58912- 2 1.40000+ 1 3.30000+ 1 3.95187- 3 1.59049- 2 1.60000+ 1 1.60000+ 1 1.26593- 5 1.66964- 2 1.60000+ 1 1.80000+ 1 4.12797- 6 1.68791- 2 1.60000+ 1 1.90000+ 1 7.88165- 4 1.72368- 2 1.60000+ 1 2.10000+ 1 1.05408- 4 1.75287- 2 1.60000+ 1 2.20000+ 1 2.24292- 4 1.75926- 2 1.60000+ 1 2.40000+ 1 4.84331- 5 1.79788- 2 1.60000+ 1 2.50000+ 1 8.86132- 5 1.79966- 2 1.60000+ 1 2.70000+ 1 6.60455- 6 1.81241- 2 1.60000+ 1 2.90000+ 1 1.10079- 6 1.81999- 2 1.60000+ 1 3.00000+ 1 1.80527- 4 1.82923- 2 1.60000+ 1 3.20000+ 1 2.00895- 5 1.84045- 2 1.60000+ 1 3.30000+ 1 4.12797- 5 1.84182- 2 1.80000+ 1 1.80000+ 1 8.25586- 7 1.70618- 2 1.80000+ 1 1.90000+ 1 1.21661- 3 1.74195- 2 1.80000+ 1 2.10000+ 1 6.05439- 5 1.77114- 2 1.80000+ 1 2.20000+ 1 3.03542- 4 1.77753- 2 1.80000+ 1 2.40000+ 1 4.76088- 5 1.81615- 2 1.80000+ 1 2.50000+ 1 1.00715- 4 1.81793- 2 1.80000+ 1 2.70000+ 1 1.10078- 6 1.83068- 2 1.80000+ 1 2.90000+ 1 2.75196- 7 1.83826- 2 1.80000+ 1 3.00000+ 1 2.80973- 4 1.84750- 2 1.80000+ 1 3.20000+ 1 1.23842- 5 1.85872- 2 1.80000+ 1 3.30000+ 1 6.08198- 5 1.86009- 2 1.90000+ 1 1.90000+ 1 1.43127- 3 1.77772- 2 1.90000+ 1 2.10000+ 1 1.28157- 3 1.80691- 2 1.90000+ 1 2.20000+ 1 1.68695- 3 1.81330- 2 1.90000+ 1 2.40000+ 1 1.18058- 4 1.85192- 2 1.90000+ 1 2.50000+ 1 1.44202- 4 1.85370- 2 1.90000+ 1 2.70000+ 1 2.15209- 4 1.86645- 2 1.90000+ 1 2.90000+ 1 3.09601- 4 1.87403- 2 1.90000+ 1 3.00000+ 1 6.90486- 4 1.88327- 2 1.90000+ 1 3.20000+ 1 2.75199- 4 1.89449- 2 1.90000+ 1 3.30000+ 1 3.55557- 4 1.89586- 2 2.10000+ 1 2.10000+ 1 1.57125- 4 1.83610- 2 2.10000+ 1 2.20000+ 1 2.71993- 3 1.84249- 2 2.10000+ 1 2.40000+ 1 6.10944- 5 1.88111- 2 2.10000+ 1 2.50000+ 1 1.86029- 4 1.88289- 2 2.10000+ 1 2.70000+ 1 2.86196- 5 1.89564- 2 2.10000+ 1 2.90000+ 1 1.56856- 5 1.90322- 2 2.10000+ 1 3.00000+ 1 2.89223- 4 1.91246- 2 2.10000+ 1 3.20000+ 1 6.43920- 5 1.92368- 2 2.10000+ 1 3.30000+ 1 5.36903- 4 1.92505- 2 2.20000+ 1 2.20000+ 1 1.88983- 3 1.84889- 2 2.20000+ 1 2.40000+ 1 6.28255- 4 1.88750- 2 2.20000+ 1 2.50000+ 1 5.47917- 4 1.88928- 2 2.20000+ 1 2.70000+ 1 6.10964- 5 1.90203- 2 2.20000+ 1 2.90000+ 1 7.70537- 5 1.90962- 2 2.20000+ 1 3.00000+ 1 3.91882- 4 1.91886- 2 2.20000+ 1 3.20000+ 1 5.67478- 4 1.93008- 2 2.20000+ 1 3.30000+ 1 7.65885- 4 1.93144- 2 2.40000+ 1 2.40000+ 1 3.30226- 6 1.92611- 2 2.40000+ 1 2.50000+ 1 9.54913- 5 1.92789- 2 2.40000+ 1 2.70000+ 1 1.10075- 5 1.94064- 2 2.40000+ 1 2.90000+ 1 1.10075- 5 1.94823- 2 2.40000+ 1 3.00000+ 1 2.55927- 5 1.95747- 2 2.40000+ 1 3.20000+ 1 1.15573- 5 1.96869- 2 2.40000+ 1 3.30000+ 1 1.15861- 4 1.97006- 2 2.50000+ 1 2.50000+ 1 3.38486- 5 1.92967- 2 2.50000+ 1 2.70000+ 1 2.06398- 5 1.94242- 2 2.50000+ 1 2.90000+ 1 2.28409- 5 1.95001- 2 2.50000+ 1 3.00000+ 1 3.19215- 5 1.95925- 2 2.50000+ 1 3.20000+ 1 3.41235- 5 1.97047- 2 2.50000+ 1 3.30000+ 1 1.00446- 4 1.97184- 2 2.70000+ 1 2.70000+ 1 8.25591- 7 1.95517- 2 2.70000+ 1 2.90000+ 1 2.75197- 7 1.96276- 2 2.70000+ 1 3.00000+ 1 4.92606- 5 1.97200- 2 2.70000+ 1 3.20000+ 1 5.50384- 6 1.98322- 2 2.70000+ 1 3.30000+ 1 1.12828- 5 1.98459- 2 2.90000+ 1 3.00000+ 1 7.15516- 5 1.97959- 2 2.90000+ 1 3.20000+ 1 3.30233- 6 1.99081- 2 2.90000+ 1 3.30000+ 1 1.54110- 5 1.99218- 2 3.00000+ 1 3.00000+ 1 8.31094- 5 1.98883- 2 3.00000+ 1 3.20000+ 1 6.21938- 5 2.00005- 2 3.00000+ 1 3.30000+ 1 8.25566- 5 2.00142- 2 3.20000+ 1 3.20000+ 1 6.60428- 6 2.01127- 2 3.20000+ 1 3.30000+ 1 1.12276- 4 2.01263- 2 3.30000+ 1 3.30000+ 1 7.76050- 5 2.01400- 2 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.05940- 5 3.88500- 4 1.10000+ 1 2.10450- 3 1.70590- 3 1.80000+ 1 3.62460- 3 5.27950- 3 1.90000+ 1 1.33150- 3 5.63720- 3 2.90000+ 1 1.03500- 3 6.60034- 3 3.00000+ 1 4.64280- 4 6.69274- 3 4.30000+ 1 1.78200- 4 6.91308- 3 4.40000+ 1 7.12701- 5 6.92766- 3 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.90000+ 1 1.74378- 2 3.57400- 5 1.00000+ 1 3.00000+ 1 1.90515- 2 1.28140- 4 1.00000+ 1 3.20000+ 1 1.13923- 2 2.40330- 4 1.00000+ 1 3.30000+ 1 1.42686- 2 2.54020- 4 1.00000+ 1 3.50000+ 1 1.26660- 3 3.76960- 4 1.00000+ 1 3.60000+ 1 1.56512- 3 3.78890- 4 1.00000+ 1 4.10000+ 1 3.03068- 3 3.25650- 4 1.00000+ 1 4.30000+ 1 2.70036- 3 3.48480- 4 1.00000+ 1 4.40000+ 1 2.52530- 3 3.63060- 4 1.00000+ 1 5.80000+ 1 2.33745- 4 3.82720- 4 1.10000+ 1 1.80000+ 1 4.99039- 2 3.23000- 5 1.10000+ 1 1.90000+ 1 2.91929- 2 3.90000- 4 1.10000+ 1 2.10000+ 1 7.82547- 3 6.81900- 4 1.10000+ 1 2.20000+ 1 2.54549- 2 7.45830- 4 1.10000+ 1 2.40000+ 1 1.97323- 1 1.13197- 3 1.10000+ 1 2.50000+ 1 2.33664- 1 1.14977- 3 1.10000+ 1 2.70000+ 1 1.11133- 2 1.27727- 3 1.10000+ 1 2.90000+ 1 1.17782- 2 1.35314- 3 1.10000+ 1 3.00000+ 1 7.32241- 3 1.44554- 3 1.10000+ 1 3.20000+ 1 2.04801- 3 1.55773- 3 1.10000+ 1 3.30000+ 1 5.80268- 3 1.57142- 3 1.10000+ 1 3.50000+ 1 1.21471- 2 1.69436- 3 1.10000+ 1 3.60000+ 1 1.36657- 2 1.69629- 3 1.10000+ 1 4.10000+ 1 2.13429- 3 1.64305- 3 1.10000+ 1 4.30000+ 1 1.87515- 3 1.66588- 3 1.10000+ 1 4.40000+ 1 1.00016- 3 1.68046- 3 1.10000+ 1 5.80000+ 1 1.60331- 4 1.70012- 3 1.30000+ 1 1.60000+ 1 2.68895- 2 4.71300- 4 1.30000+ 1 1.80000+ 1 5.45159- 3 6.54000- 4 1.30000+ 1 1.90000+ 1 1.14832- 2 1.01170- 3 1.30000+ 1 2.10000+ 1 8.69375- 3 1.30360- 3 1.30000+ 1 2.20000+ 1 9.80457- 3 1.36753- 3 1.30000+ 1 2.40000+ 1 1.01446- 2 1.75367- 3 1.30000+ 1 2.50000+ 1 9.94544- 3 1.77147- 3 1.30000+ 1 2.70000+ 1 4.45373- 3 1.89897- 3 1.30000+ 1 2.90000+ 1 1.10993- 3 1.97484- 3 1.30000+ 1 3.00000+ 1 2.12099- 3 2.06724- 3 1.30000+ 1 3.20000+ 1 1.51713- 3 2.17943- 3 1.30000+ 1 3.30000+ 1 1.86415- 3 2.19312- 3 1.30000+ 1 3.50000+ 1 6.52722- 4 2.31606- 3 1.30000+ 1 3.60000+ 1 5.75201- 4 2.31799- 3 1.30000+ 1 4.10000+ 1 7.82458- 4 2.26475- 3 1.30000+ 1 4.30000+ 1 1.73588- 4 2.28758- 3 1.30000+ 1 4.40000+ 1 2.74554- 4 2.30216- 3 1.30000+ 1 5.80000+ 1 5.89667- 5 2.32182- 3 1.40000+ 1 1.60000+ 1 3.59313- 2 7.27200- 4 1.40000+ 1 1.80000+ 1 8.10789- 4 9.09900- 4 1.40000+ 1 1.90000+ 1 1.29769- 2 1.26760- 3 1.40000+ 1 2.10000+ 1 1.14722- 2 1.55950- 3 1.40000+ 1 2.20000+ 1 1.51713- 2 1.62343- 3 1.40000+ 1 2.40000+ 1 1.27229- 2 2.00957- 3 1.40000+ 1 2.50000+ 1 1.81575- 2 2.02737- 3 1.40000+ 1 2.70000+ 1 5.83627- 3 2.15487- 3 1.40000+ 1 2.90000+ 1 2.58517- 4 2.23074- 3 1.40000+ 1 3.00000+ 1 2.34443- 3 2.32314- 3 1.40000+ 1 3.20000+ 1 2.24435- 3 2.43533- 3 1.40000+ 1 3.30000+ 1 2.78452- 3 2.44902- 3 1.40000+ 1 3.50000+ 1 7.63750- 4 2.57196- 3 1.40000+ 1 3.60000+ 1 1.08064- 3 2.57389- 3 1.40000+ 1 4.10000+ 1 1.02045- 3 2.52065- 3 1.40000+ 1 4.30000+ 1 4.45222- 5 2.54348- 3 1.40000+ 1 4.40000+ 1 3.03046- 4 2.55806- 3 1.40000+ 1 5.80000+ 1 7.68519- 5 2.57772- 3 1.60000+ 1 1.60000+ 1 2.24867- 3 3.24050- 3 1.60000+ 1 1.80000+ 1 4.04854- 3 3.42320- 3 1.60000+ 1 1.90000+ 1 5.96967- 3 3.78090- 3 1.60000+ 1 2.10000+ 1 7.36143- 3 4.07280- 3 1.60000+ 1 2.20000+ 1 1.00376- 2 4.13673- 3 1.60000+ 1 2.40000+ 1 5.56998- 3 4.52287- 3 1.60000+ 1 2.50000+ 1 6.79606- 3 4.54067- 3 1.60000+ 1 2.70000+ 1 9.87028- 4 4.66817- 3 1.60000+ 1 2.90000+ 1 1.04585- 3 4.74404- 3 1.60000+ 1 3.00000+ 1 1.51284- 3 4.83644- 3 1.60000+ 1 3.20000+ 1 1.55223- 3 4.94863- 3 1.60000+ 1 3.30000+ 1 2.09081- 3 4.96232- 3 1.60000+ 1 3.50000+ 1 4.80465- 4 5.08526- 3 1.60000+ 1 3.60000+ 1 5.60797- 4 5.08719- 3 1.60000+ 1 4.10000+ 1 1.87766- 4 5.03395- 3 1.60000+ 1 4.30000+ 1 1.71070- 4 5.05678- 3 1.60000+ 1 4.40000+ 1 2.07901- 4 5.07136- 3 1.60000+ 1 5.80000+ 1 1.43106- 5 5.09102- 3 1.80000+ 1 1.80000+ 1 1.39008- 4 3.60590- 3 1.80000+ 1 1.90000+ 1 5.12922- 4 3.96360- 3 1.80000+ 1 2.10000+ 1 2.29767- 4 4.25550- 3 1.80000+ 1 2.20000+ 1 8.30813- 5 4.31943- 3 1.80000+ 1 2.40000+ 1 1.84188- 5 4.70557- 3 1.80000+ 1 2.50000+ 1 5.82124- 4 4.72337- 3 1.80000+ 1 2.70000+ 1 6.57507- 4 4.85087- 3 1.80000+ 1 2.90000+ 1 4.96905- 5 4.92674- 3 1.80000+ 1 3.00000+ 1 8.59985- 5 5.01914- 3 1.80000+ 1 3.20000+ 1 4.04147- 5 5.13133- 3 1.80000+ 1 3.30000+ 1 2.30557- 5 5.14502- 3 1.80000+ 1 3.50000+ 1 9.27519- 7 5.26796- 3 1.80000+ 1 3.60000+ 1 2.99471- 5 5.26989- 3 1.80000+ 1 4.10000+ 1 1.15543- 4 5.21665- 3 1.80000+ 1 4.30000+ 1 7.55282- 6 5.23948- 3 1.80000+ 1 4.40000+ 1 1.09985- 5 5.25406- 3 1.80000+ 1 5.80000+ 1 8.74541- 6 5.27372- 3 1.90000+ 1 1.90000+ 1 3.74991- 4 4.32130- 3 1.90000+ 1 2.10000+ 1 7.80841- 4 4.61320- 3 1.90000+ 1 2.20000+ 1 1.65001- 3 4.67713- 3 1.90000+ 1 2.40000+ 1 1.25760- 3 5.06327- 3 1.90000+ 1 2.50000+ 1 1.65901- 3 5.08107- 3 1.90000+ 1 2.70000+ 1 9.73923- 4 5.20857- 3 1.90000+ 1 2.90000+ 1 1.15142- 4 5.28444- 3 1.90000+ 1 3.00000+ 1 1.63112- 4 5.37684- 3 1.90000+ 1 3.20000+ 1 1.56363- 4 5.48903- 3 1.90000+ 1 3.30000+ 1 3.25433- 4 5.50272- 3 1.90000+ 1 3.50000+ 1 1.02555- 4 5.62566- 3 1.90000+ 1 3.60000+ 1 1.17662- 4 5.62759- 3 1.90000+ 1 4.10000+ 1 1.71600- 4 5.57435- 3 1.90000+ 1 4.30000+ 1 1.84187- 5 5.59718- 3 1.90000+ 1 4.40000+ 1 2.18638- 5 5.61176- 3 1.90000+ 1 5.80000+ 1 1.29859- 5 5.63142- 3 2.10000+ 1 2.10000+ 1 1.07464- 4 4.90510- 3 2.10000+ 1 2.20000+ 1 1.84716- 4 4.96903- 3 2.10000+ 1 2.40000+ 1 4.59928- 4 5.35517- 3 2.10000+ 1 2.50000+ 1 2.37733- 3 5.37297- 3 2.10000+ 1 2.70000+ 1 1.16282- 3 5.50047- 3 2.10000+ 1 2.90000+ 1 3.55124- 5 5.57634- 3 2.10000+ 1 3.00000+ 1 1.47215- 4 5.66874- 3 2.10000+ 1 3.20000+ 1 3.55124- 5 5.78093- 3 2.10000+ 1 3.30000+ 1 3.27290- 5 5.79462- 3 2.10000+ 1 3.50000+ 1 3.51134- 5 5.91756- 3 2.10000+ 1 3.60000+ 1 1.38077- 4 5.91949- 3 2.10000+ 1 4.10000+ 1 2.02741- 4 5.86625- 3 2.10000+ 1 4.30000+ 1 5.16765- 6 5.88908- 3 2.10000+ 1 4.40000+ 1 1.89484- 5 5.90366- 3 2.10000+ 1 5.80000+ 1 1.52383- 5 5.92332- 3 2.20000+ 1 2.20000+ 1 2.15059- 4 5.03296- 3 2.20000+ 1 2.40000+ 1 2.00383- 3 5.41910- 3 2.20000+ 1 2.50000+ 1 1.40557- 3 5.43690- 3 2.20000+ 1 2.70000+ 1 1.57353- 3 5.56440- 3 2.20000+ 1 2.90000+ 1 1.48415- 5 5.64027- 3 2.20000+ 1 3.00000+ 1 3.04898- 4 5.73267- 3 2.20000+ 1 3.20000+ 1 2.78264- 5 5.84486- 3 2.20000+ 1 3.30000+ 1 7.36725- 5 5.85855- 3 2.20000+ 1 3.50000+ 1 1.17403- 4 5.98149- 3 2.20000+ 1 3.60000+ 1 8.98402- 5 5.98342- 3 2.20000+ 1 4.10000+ 1 2.73895- 4 5.93018- 3 2.20000+ 1 4.30000+ 1 2.25257- 6 5.95301- 3 2.20000+ 1 4.40000+ 1 3.92228- 5 5.96759- 3 2.20000+ 1 5.80000+ 1 2.06711- 5 5.98725- 3 2.40000+ 1 2.40000+ 1 6.25024- 4 5.80524- 3 2.40000+ 1 2.50000+ 1 4.10254- 3 5.82304- 3 2.40000+ 1 2.70000+ 1 7.97851- 4 5.95054- 3 2.40000+ 1 2.90000+ 1 5.83044- 6 6.02641- 3 2.40000+ 1 3.00000+ 1 1.66161- 4 6.11881- 3 2.40000+ 1 3.20000+ 1 8.53356- 5 6.23100- 3 2.40000+ 1 3.30000+ 1 4.38209- 4 6.24469- 3 2.40000+ 1 3.50000+ 1 9.65998- 5 6.36763- 3 2.40000+ 1 3.60000+ 1 2.52561- 4 6.36956- 3 2.40000+ 1 4.10000+ 1 1.36618- 4 6.31632- 3 2.40000+ 1 4.30000+ 1 1.06005- 6 6.33915- 3 2.40000+ 1 4.40000+ 1 2.00084- 5 6.35373- 3 2.40000+ 1 5.80000+ 1 1.02036- 5 6.37339- 3 2.50000+ 1 2.50000+ 1 1.40216- 3 5.84084- 3 2.50000+ 1 2.70000+ 1 9.70469- 4 5.96834- 3 2.50000+ 1 2.90000+ 1 1.27209- 4 6.04421- 3 2.50000+ 1 3.00000+ 1 2.32014- 4 6.13661- 3 2.50000+ 1 3.20000+ 1 5.01919- 4 6.24880- 3 2.50000+ 1 3.30000+ 1 2.82512- 4 6.26249- 3 2.50000+ 1 3.50000+ 1 2.57858- 4 6.38543- 3 2.50000+ 1 3.60000+ 1 1.91084- 4 6.38736- 3 2.50000+ 1 4.10000+ 1 1.66160- 4 6.33412- 3 2.50000+ 1 4.30000+ 1 2.00082- 5 6.35695- 3 2.50000+ 1 4.40000+ 1 2.83572- 5 6.37153- 3 2.50000+ 1 5.80000+ 1 1.24550- 5 6.39119- 3 2.70000+ 1 2.70000+ 1 9.89769- 5 6.09584- 3 2.70000+ 1 2.90000+ 1 1.71985- 4 6.17171- 3 2.70000+ 1 3.00000+ 1 2.46465- 4 6.26411- 3 2.70000+ 1 3.20000+ 1 2.47384- 4 6.37630- 3 2.70000+ 1 3.30000+ 1 3.30601- 4 6.38999- 3 2.70000+ 1 3.50000+ 1 6.91664- 5 6.51293- 3 2.70000+ 1 3.60000+ 1 8.04301- 5 6.51486- 3 2.70000+ 1 4.10000+ 1 3.69681- 5 6.46162- 3 2.70000+ 1 4.30000+ 1 2.82235- 5 6.48445- 3 2.70000+ 1 4.40000+ 1 3.39199- 5 6.49903- 3 2.70000+ 1 5.80000+ 1 2.78256- 6 6.51869- 3 2.90000+ 1 2.90000+ 1 4.37273- 6 6.24758- 3 2.90000+ 1 3.00000+ 1 1.86834- 5 6.33998- 3 2.90000+ 1 3.20000+ 1 6.22777- 6 6.45217- 3 2.90000+ 1 3.30000+ 1 4.50520- 6 6.46586- 3 2.90000+ 1 3.50000+ 1 2.65015- 7 6.58880- 3 2.90000+ 1 3.60000+ 1 6.89059- 6 6.59073- 3 2.90000+ 1 4.10000+ 1 3.03436- 5 6.53749- 3 2.90000+ 1 4.30000+ 1 1.32508- 6 6.56032- 3 2.90000+ 1 4.40000+ 1 2.38512- 6 6.57490- 3 2.90000+ 1 5.80000+ 1 2.25255- 6 6.59456- 3 3.00000+ 1 3.00000+ 1 1.68278- 5 6.43238- 3 3.00000+ 1 3.20000+ 1 2.96817- 5 6.54457- 3 3.00000+ 1 3.30000+ 1 6.06899- 5 6.55826- 3 3.00000+ 1 3.50000+ 1 1.37806- 5 6.68120- 3 3.00000+ 1 3.60000+ 1 1.62980- 5 6.68313- 3 3.00000+ 1 4.10000+ 1 4.33293- 5 6.62989- 3 3.00000+ 1 4.30000+ 1 2.91518- 6 6.65272- 3 3.00000+ 1 4.40000+ 1 4.50519- 6 6.66730- 3 3.00000+ 1 5.80000+ 1 3.31258- 6 6.68696- 3 3.20000+ 1 3.20000+ 1 2.65016- 6 6.65676- 3 3.20000+ 1 3.30000+ 1 5.03519- 6 6.67045- 3 3.20000+ 1 3.50000+ 1 6.49273- 6 6.79339- 3 3.20000+ 1 3.60000+ 1 3.07416- 5 6.79532- 3 3.20000+ 1 4.10000+ 1 4.31966- 5 6.74208- 3 3.20000+ 1 4.30000+ 1 9.27510- 7 6.76491- 3 3.20000+ 1 4.40000+ 1 3.84268- 6 6.77949- 3 3.20000+ 1 5.80000+ 1 3.31260- 6 6.79915- 3 3.30000+ 1 3.30000+ 1 6.09540- 6 6.68414- 3 3.30000+ 1 3.50000+ 1 2.70314- 5 6.80708- 3 3.30000+ 1 3.60000+ 1 1.84185- 5 6.80901- 3 3.30000+ 1 4.10000+ 1 5.76418- 5 6.75577- 3 3.30000+ 1 4.30000+ 1 6.62518- 7 6.77860- 3 3.30000+ 1 4.40000+ 1 7.81766- 6 6.79318- 3 3.30000+ 1 5.80000+ 1 4.37274- 6 6.81284- 3 3.50000+ 1 3.50000+ 1 3.44514- 6 6.93002- 3 3.50000+ 1 3.60000+ 1 1.68277- 5 6.93195- 3 3.50000+ 1 4.10000+ 1 1.17931- 5 6.87871- 3 3.50000+ 1 4.40000+ 1 1.72257- 6 6.91612- 3 3.50000+ 1 5.80000+ 1 9.27501- 7 6.93578- 3 3.60000+ 1 3.60000+ 1 6.36036- 6 6.93388- 3 3.60000+ 1 4.10000+ 1 1.37809- 5 6.88064- 3 3.60000+ 1 4.30000+ 1 1.06006- 6 6.90347- 3 3.60000+ 1 4.40000+ 1 1.98765- 6 6.91805- 3 3.60000+ 1 5.80000+ 1 1.06006- 6 6.93771- 3 4.10000+ 1 4.10000+ 1 3.55942- 6 6.82740- 3 4.10000+ 1 4.30000+ 1 5.06541- 6 6.85023- 3 4.10000+ 1 4.40000+ 1 6.16059- 6 6.86481- 3 4.10000+ 1 5.80000+ 1 5.47589- 7 6.88447- 3 4.30000+ 1 4.30000+ 1 1.32509- 7 6.87306- 3 4.30000+ 1 4.40000+ 1 3.97526- 7 6.88764- 3 4.30000+ 1 5.80000+ 1 3.97526- 7 6.90730- 3 4.40000+ 1 4.40000+ 1 2.65016- 7 6.90222- 3 4.40000+ 1 5.80000+ 1 3.97524- 7 6.92188- 3 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.99011- 3 1.93910- 3 1.60000+ 1 1.27190- 3 4.70830- 3 2.10000+ 1 5.59681- 3 5.54060- 3 2.70000+ 1 3.52841- 4 6.13597- 3 3.20000+ 1 1.52660- 3 6.41643- 3 4.10000+ 1 7.10052- 5 6.50175- 3 5.80000+ 1 5.77641- 6 6.55882- 3 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 1.90000+ 1 6.79812- 3 1.50000- 6 1.10000+ 1 2.10000+ 1 1.25767- 2 2.93400- 4 1.10000+ 1 2.20000+ 1 2.08623- 2 3.57330- 4 1.10000+ 1 2.40000+ 1 2.82308- 2 7.43470- 4 1.10000+ 1 2.50000+ 1 2.18947- 2 7.61270- 4 1.10000+ 1 2.70000+ 1 3.14864- 3 8.88770- 4 1.10000+ 1 2.90000+ 1 4.95380- 3 9.64640- 4 1.10000+ 1 3.00000+ 1 1.52900- 3 1.05704- 3 1.10000+ 1 3.20000+ 1 2.33435- 3 1.16923- 3 1.10000+ 1 3.30000+ 1 3.73156- 3 1.18292- 3 1.10000+ 1 3.50000+ 1 1.89078- 3 1.30586- 3 1.10000+ 1 3.60000+ 1 1.44140- 3 1.30779- 3 1.10000+ 1 4.10000+ 1 5.80401- 4 1.25455- 3 1.10000+ 1 4.30000+ 1 7.21609- 4 1.27738- 3 1.10000+ 1 4.40000+ 1 2.02030- 4 1.29196- 3 1.10000+ 1 5.80000+ 1 4.41339- 5 1.31162- 3 1.30000+ 1 1.60000+ 1 4.87896- 2 8.28000- 5 1.30000+ 1 1.80000+ 1 5.14487- 2 2.65500- 4 1.30000+ 1 1.90000+ 1 2.66598- 2 6.23200- 4 1.30000+ 1 2.10000+ 1 1.66375- 2 9.15100- 4 1.30000+ 1 2.20000+ 1 3.18056- 2 9.79030- 4 1.30000+ 1 2.40000+ 1 1.54073- 1 1.36517- 3 1.30000+ 1 2.50000+ 1 2.43943- 1 1.38297- 3 1.30000+ 1 2.70000+ 1 1.27886- 2 1.51047- 3 1.30000+ 1 2.90000+ 1 1.07889- 2 1.58634- 3 1.30000+ 1 3.00000+ 1 6.51681- 3 1.67874- 3 1.30000+ 1 3.20000+ 1 3.74338- 3 1.79093- 3 1.30000+ 1 3.30000+ 1 6.76039- 3 1.80462- 3 1.30000+ 1 3.50000+ 1 9.63086- 3 1.92756- 3 1.30000+ 1 3.60000+ 1 1.53690- 2 1.92949- 3 1.30000+ 1 4.10000+ 1 2.47624- 3 1.87625- 3 1.30000+ 1 4.30000+ 1 1.69426- 3 1.89908- 3 1.30000+ 1 4.40000+ 1 8.85784- 4 1.91366- 3 1.30000+ 1 5.80000+ 1 1.89678- 4 1.93332- 3 1.40000+ 1 1.60000+ 1 7.15987- 3 3.38700- 4 1.40000+ 1 1.80000+ 1 5.83487- 2 5.21400- 4 1.40000+ 1 1.90000+ 1 4.36146- 3 8.79100- 4 1.40000+ 1 2.10000+ 1 2.95291- 3 1.17100- 3 1.40000+ 1 2.20000+ 1 2.89447- 3 1.23493- 3 1.40000+ 1 2.40000+ 1 9.41411- 3 1.62107- 3 1.40000+ 1 2.50000+ 1 5.22922- 3 1.63887- 3 1.40000+ 1 2.70000+ 1 1.26083- 3 1.76637- 3 1.40000+ 1 2.90000+ 1 9.14593- 3 1.84224- 3 1.40000+ 1 3.00000+ 1 8.90175- 4 1.93464- 3 1.40000+ 1 3.20000+ 1 2.63975- 4 2.04683- 3 1.40000+ 1 3.30000+ 1 5.37437- 4 2.06052- 3 1.40000+ 1 3.50000+ 1 8.40052- 4 2.18346- 3 1.40000+ 1 3.60000+ 1 3.68898- 4 2.18539- 3 1.40000+ 1 4.10000+ 1 2.24835- 4 2.13215- 3 1.40000+ 1 4.30000+ 1 1.34310- 3 2.15498- 3 1.40000+ 1 4.40000+ 1 1.17245- 4 2.16956- 3 1.40000+ 1 5.80000+ 1 1.69879- 5 2.18922- 3 1.60000+ 1 1.60000+ 1 3.26244- 4 2.85200- 3 1.60000+ 1 1.80000+ 1 5.42100- 3 3.03470- 3 1.60000+ 1 1.90000+ 1 5.97540- 4 3.39240- 3 1.60000+ 1 2.10000+ 1 2.56518- 4 3.68430- 3 1.60000+ 1 2.20000+ 1 5.92042- 4 3.74823- 3 1.60000+ 1 2.40000+ 1 7.14207- 5 4.13437- 3 1.60000+ 1 2.50000+ 1 4.16801- 4 4.15217- 3 1.60000+ 1 2.70000+ 1 1.32419- 4 4.27967- 3 1.60000+ 1 2.90000+ 1 8.47386- 4 4.35554- 3 1.60000+ 1 3.00000+ 1 1.35452- 4 4.44794- 3 1.60000+ 1 3.20000+ 1 3.41009- 5 4.56013- 3 1.60000+ 1 3.30000+ 1 1.08745- 4 4.57382- 3 1.60000+ 1 3.50000+ 1 4.35744- 6 4.69676- 3 1.60000+ 1 3.60000+ 1 2.27343- 5 4.69869- 3 1.60000+ 1 4.10000+ 1 2.44394- 5 4.64545- 3 1.60000+ 1 4.30000+ 1 1.25040- 4 4.66828- 3 1.60000+ 1 4.40000+ 1 1.81880- 5 4.68286- 3 1.60000+ 1 5.80000+ 1 1.89458- 6 4.70252- 3 1.80000+ 1 1.80000+ 1 4.29474- 3 3.21740- 3 1.80000+ 1 1.90000+ 1 1.09087- 2 3.57510- 3 1.80000+ 1 2.10000+ 1 1.11863- 2 3.86700- 3 1.80000+ 1 2.20000+ 1 1.71747- 2 3.93093- 3 1.80000+ 1 2.40000+ 1 7.03266- 3 4.31707- 3 1.80000+ 1 2.50000+ 1 1.11465- 2 4.33487- 3 1.80000+ 1 2.70000+ 1 1.46412- 3 4.46237- 3 1.80000+ 1 2.90000+ 1 1.81084- 3 4.53824- 3 1.80000+ 1 3.00000+ 1 2.73591- 3 4.63064- 3 1.80000+ 1 3.20000+ 1 2.37552- 3 4.74283- 3 1.80000+ 1 3.30000+ 1 3.54151- 3 4.75652- 3 1.80000+ 1 3.50000+ 1 6.08330- 4 4.87946- 3 1.80000+ 1 3.60000+ 1 9.12975- 4 4.88139- 3 1.80000+ 1 4.10000+ 1 2.87965- 4 4.82815- 3 1.80000+ 1 4.30000+ 1 2.87024- 4 4.85098- 3 1.80000+ 1 4.40000+ 1 3.75120- 4 4.86556- 3 1.80000+ 1 5.80000+ 1 2.21654- 5 4.88522- 3 1.90000+ 1 1.90000+ 1 2.49131- 4 3.93280- 3 1.90000+ 1 2.10000+ 1 5.47333- 4 4.22470- 3 1.90000+ 1 2.20000+ 1 5.46953- 4 4.28863- 3 1.90000+ 1 2.40000+ 1 4.26792- 3 4.67477- 3 1.90000+ 1 2.50000+ 1 1.20878- 3 4.69257- 3 1.90000+ 1 2.70000+ 1 1.01548- 4 4.82007- 3 1.90000+ 1 2.90000+ 1 1.73261- 3 4.89594- 3 1.90000+ 1 3.00000+ 1 1.05335- 4 4.98834- 3 1.90000+ 1 3.20000+ 1 8.88547- 5 5.10053- 3 1.90000+ 1 3.30000+ 1 1.03818- 4 5.11422- 3 1.90000+ 1 3.50000+ 1 3.00654- 4 5.23716- 3 1.90000+ 1 3.60000+ 1 8.56317- 5 5.23909- 3 1.90000+ 1 4.10000+ 1 1.81881- 5 5.18585- 3 1.90000+ 1 4.30000+ 1 2.56520- 4 5.20868- 3 1.90000+ 1 4.40000+ 1 1.40189- 5 5.22326- 3 1.90000+ 1 5.80000+ 1 1.32610- 6 5.24292- 3 2.10000+ 1 2.10000+ 1 4.57904- 4 4.51660- 3 2.10000+ 1 2.20000+ 1 7.27299- 4 4.58053- 3 2.10000+ 1 2.40000+ 1 4.60366- 4 4.96667- 3 2.10000+ 1 2.50000+ 1 4.99583- 4 4.98447- 3 2.10000+ 1 2.70000+ 1 6.74445- 5 5.11197- 3 2.10000+ 1 2.90000+ 1 1.71401- 3 5.18784- 3 2.10000+ 1 3.00000+ 1 1.31300- 4 5.28024- 3 2.10000+ 1 3.20000+ 1 1.56299- 4 5.39243- 3 2.10000+ 1 3.30000+ 1 1.36786- 4 5.40612- 3 2.10000+ 1 3.50000+ 1 1.91352- 5 5.52906- 3 2.10000+ 1 3.60000+ 1 2.76604- 5 5.53099- 3 2.10000+ 1 4.10000+ 1 1.30717- 5 5.47775- 3 2.10000+ 1 4.30000+ 1 2.51595- 4 5.50058- 3 2.10000+ 1 4.40000+ 1 1.78086- 5 5.51516- 3 2.10000+ 1 5.80000+ 1 9.47244- 7 5.53482- 3 2.20000+ 1 2.20000+ 1 1.97601- 4 4.64446- 3 2.20000+ 1 2.40000+ 1 7.00209- 4 5.03060- 3 2.20000+ 1 2.50000+ 1 2.07261- 4 5.04840- 3 2.20000+ 1 2.70000+ 1 1.23519- 4 5.17590- 3 2.20000+ 1 2.90000+ 1 2.65343- 3 5.25177- 3 2.20000+ 1 3.00000+ 1 1.04013- 4 5.34417- 3 2.20000+ 1 3.20000+ 1 1.02871- 4 5.45636- 3 2.20000+ 1 3.30000+ 1 6.87714- 5 5.47005- 3 2.20000+ 1 3.50000+ 1 2.23562- 5 5.59299- 3 2.20000+ 1 3.60000+ 1 1.02308- 5 5.59492- 3 2.20000+ 1 4.10000+ 1 2.29238- 5 5.54168- 3 2.20000+ 1 4.30000+ 1 3.90273- 4 5.56451- 3 2.20000+ 1 4.40000+ 1 1.34514- 5 5.57909- 3 2.20000+ 1 5.80000+ 1 1.70519- 6 5.59875- 3 2.40000+ 1 2.40000+ 1 1.81241- 3 5.41674- 3 2.40000+ 1 2.50000+ 1 1.15133- 2 5.43454- 3 2.40000+ 1 2.70000+ 1 1.34512- 5 5.56204- 3 2.40000+ 1 2.90000+ 1 9.90615- 4 5.63791- 3 2.40000+ 1 3.00000+ 1 1.00501- 3 5.73031- 3 2.40000+ 1 3.20000+ 1 9.43470- 5 5.84250- 3 2.40000+ 1 3.30000+ 1 1.87936- 4 5.85619- 3 2.40000+ 1 3.50000+ 1 2.54245- 4 5.97913- 3 2.40000+ 1 3.60000+ 1 7.62510- 4 5.98106- 3 2.40000+ 1 4.10000+ 1 2.46285- 6 5.92782- 3 2.40000+ 1 4.30000+ 1 1.44363- 4 5.95065- 3 2.40000+ 1 4.40000+ 1 1.36202- 4 5.96523- 3 2.40000+ 1 5.80000+ 1 1.89458- 7 5.98489- 3 2.50000+ 1 2.50000+ 1 5.96401- 4 5.45234- 3 2.50000+ 1 2.70000+ 1 9.05612- 5 5.57984- 3 2.50000+ 1 2.90000+ 1 1.51287- 3 5.65571- 3 2.50000+ 1 3.00000+ 1 2.49505- 4 5.74811- 3 2.50000+ 1 3.20000+ 1 1.02872- 4 5.86030- 3 2.50000+ 1 3.30000+ 1 4.52795- 5 5.87399- 3 2.50000+ 1 3.50000+ 1 7.75071- 4 5.99693- 3 2.50000+ 1 3.60000+ 1 7.99501- 5 5.99886- 3 2.50000+ 1 4.10000+ 1 1.68629- 5 5.94562- 3 2.50000+ 1 4.30000+ 1 2.16546- 4 5.96845- 3 2.50000+ 1 4.40000+ 1 3.29655- 5 5.98303- 3 2.50000+ 1 5.80000+ 1 1.32613- 6 6.00269- 3 2.70000+ 1 2.70000+ 1 1.32610- 5 5.70734- 3 2.70000+ 1 2.90000+ 1 2.30557- 4 5.78321- 3 2.70000+ 1 3.00000+ 1 2.27344- 5 5.87561- 3 2.70000+ 1 3.20000+ 1 8.52549- 6 5.98780- 3 2.70000+ 1 3.30000+ 1 2.31128- 5 6.00149- 3 2.70000+ 1 3.50000+ 1 7.57791- 7 6.12443- 3 2.70000+ 1 3.60000+ 1 4.92585- 6 6.12636- 3 2.70000+ 1 4.10000+ 1 4.92585- 6 6.07312- 3 2.70000+ 1 4.30000+ 1 3.41010- 5 6.09595- 3 2.70000+ 1 4.40000+ 1 3.03126- 6 6.11053- 3 2.70000+ 1 5.80000+ 1 3.78907- 7 6.13019- 3 2.90000+ 1 2.90000+ 1 1.77515- 4 5.85908- 3 2.90000+ 1 3.00000+ 1 4.38020- 4 5.95148- 3 2.90000+ 1 3.20000+ 1 3.66773- 4 6.06367- 3 2.90000+ 1 3.30000+ 1 5.51687- 4 6.07736- 3 2.90000+ 1 3.50000+ 1 8.54434- 5 6.20030- 3 2.90000+ 1 3.60000+ 1 1.25232- 4 6.20223- 3 2.90000+ 1 4.10000+ 1 4.54690- 5 6.14899- 3 2.90000+ 1 4.30000+ 1 5.55091- 5 6.17182- 3 2.90000+ 1 4.40000+ 1 6.02458- 5 6.18640- 3 2.90000+ 1 5.80000+ 1 3.41012- 6 6.20606- 3 3.00000+ 1 3.00000+ 1 1.09883- 5 6.04388- 3 3.00000+ 1 3.20000+ 1 2.14083- 5 6.15607- 3 3.00000+ 1 3.30000+ 1 1.97033- 5 6.16976- 3 3.00000+ 1 3.50000+ 1 7.10469- 5 6.29270- 3 3.00000+ 1 3.60000+ 1 1.76199- 5 6.29463- 3 3.00000+ 1 4.10000+ 1 3.97861- 6 6.24139- 3 3.00000+ 1 4.30000+ 1 6.49843- 5 6.26422- 3 3.00000+ 1 4.40000+ 1 2.84191- 6 6.27880- 3 3.00000+ 1 5.80000+ 1 3.78919- 7 6.29846- 3 3.20000+ 1 3.20000+ 1 1.26930- 5 6.26826- 3 3.20000+ 1 3.30000+ 1 2.10288- 5 6.28195- 3 3.20000+ 1 3.50000+ 1 4.16794- 6 6.40489- 3 3.20000+ 1 3.60000+ 1 6.44122- 6 6.40682- 3 3.20000+ 1 4.10000+ 1 1.70514- 6 6.35358- 3 3.20000+ 1 4.30000+ 1 5.39929- 5 6.37641- 3 3.20000+ 1 4.40000+ 1 2.84176- 6 6.39099- 3 3.20000+ 1 5.80000+ 1 1.89455- 7 6.41065- 3 3.30000+ 1 3.30000+ 1 6.25223- 6 6.29564- 3 3.30000+ 1 3.50000+ 1 7.38884- 6 6.41858- 3 3.30000+ 1 3.60000+ 1 2.27355- 6 6.42051- 3 3.30000+ 1 4.10000+ 1 4.35767- 6 6.36727- 3 3.30000+ 1 4.30000+ 1 8.12766- 5 6.39010- 3 3.30000+ 1 4.40000+ 1 2.65241- 6 6.40468- 3 3.30000+ 1 5.80000+ 1 3.78926- 7 6.42434- 3 3.50000+ 1 3.50000+ 1 8.71483- 6 6.54152- 3 3.50000+ 1 3.60000+ 1 5.32363- 5 6.54345- 3 3.50000+ 1 4.10000+ 1 1.89460- 7 6.49021- 3 3.50000+ 1 4.30000+ 1 1.23138- 5 6.51304- 3 3.50000+ 1 4.40000+ 1 9.66174- 6 6.52762- 3 3.60000+ 1 3.60000+ 1 2.65234- 6 6.54538- 3 3.60000+ 1 4.10000+ 1 9.47258- 7 6.49214- 3 3.60000+ 1 4.30000+ 1 1.79980- 5 6.51497- 3 3.60000+ 1 4.40000+ 1 2.27348- 6 6.52955- 3 4.10000+ 1 4.10000+ 1 3.78906- 7 6.43890- 3 4.10000+ 1 4.30000+ 1 6.63076- 6 6.46173- 3 4.10000+ 1 4.40000+ 1 5.68353- 7 6.47631- 3 4.30000+ 1 4.30000+ 1 4.35745- 6 6.48456- 3 4.30000+ 1 4.40000+ 1 8.90422- 6 6.49914- 3 4.30000+ 1 5.80000+ 1 5.68355- 7 6.51880- 3 4.40000+ 1 4.40000+ 1 1.89460- 7 6.51372- 3 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.34840- 5 6.21700- 4 1.40000+ 1 3.71589- 4 8.77600- 4 1.60000+ 1 2.90539- 3 3.39090- 3 2.10000+ 1 1.29850- 3 4.22320- 3 2.20000+ 1 9.52368- 3 4.28713- 3 2.70000+ 1 7.56349- 4 4.81857- 3 3.20000+ 1 3.02849- 4 5.09903- 3 3.30000+ 1 2.27730- 3 5.11272- 3 4.10000+ 1 1.50610- 4 5.18435- 3 5.80000+ 1 1.22300- 5 5.24142- 3 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 7.84895- 3 4.77700- 5 1.30000+ 1 2.50000+ 1 1.35146- 2 6.55700- 5 1.30000+ 1 2.70000+ 1 4.35760- 3 1.93070- 4 1.30000+ 1 2.90000+ 1 4.41387- 3 2.68940- 4 1.30000+ 1 3.00000+ 1 1.18322- 2 3.61340- 4 1.30000+ 1 3.20000+ 1 2.39075- 3 4.73530- 4 1.30000+ 1 3.30000+ 1 2.74134- 3 4.87220- 4 1.30000+ 1 3.50000+ 1 8.27523- 4 6.10160- 4 1.30000+ 1 3.60000+ 1 1.40185- 3 6.12090- 4 1.30000+ 1 4.10000+ 1 8.06652- 4 5.58850- 4 1.30000+ 1 4.30000+ 1 6.85581- 4 5.81680- 4 1.30000+ 1 4.40000+ 1 1.51243- 3 5.96260- 4 1.30000+ 1 5.80000+ 1 6.05317- 5 6.15920- 4 1.40000+ 1 2.40000+ 1 2.48044- 1 3.03670- 4 1.40000+ 1 2.50000+ 1 2.97750- 1 3.21470- 4 1.40000+ 1 2.70000+ 1 2.66593- 2 4.48970- 4 1.40000+ 1 2.90000+ 1 2.94005- 2 5.24840- 4 1.40000+ 1 3.00000+ 1 2.72005- 2 6.17240- 4 1.40000+ 1 3.20000+ 1 9.32617- 3 7.29430- 4 1.40000+ 1 3.30000+ 1 1.39508- 2 7.43120- 4 1.40000+ 1 3.50000+ 1 1.17969- 2 8.66060- 4 1.40000+ 1 3.60000+ 1 1.30606- 2 8.67990- 4 1.40000+ 1 4.10000+ 1 5.08767- 3 8.14750- 4 1.40000+ 1 4.30000+ 1 4.60630- 3 8.37580- 4 1.40000+ 1 4.40000+ 1 3.58572- 3 8.52160- 4 1.40000+ 1 5.80000+ 1 3.89954- 4 8.71820- 4 1.60000+ 1 1.60000+ 1 1.59682- 5 1.53460- 3 1.60000+ 1 1.80000+ 1 2.43086- 4 1.71730- 3 1.60000+ 1 1.90000+ 1 7.81090- 3 2.07500- 3 1.60000+ 1 2.10000+ 1 5.58391- 4 2.36690- 3 1.60000+ 1 2.20000+ 1 7.76445- 4 2.43083- 3 1.60000+ 1 2.40000+ 1 2.79340- 3 2.81697- 3 1.60000+ 1 2.50000+ 1 5.05763- 3 2.83477- 3 1.60000+ 1 2.70000+ 1 1.26315- 5 2.96227- 3 1.60000+ 1 2.90000+ 1 2.50234- 5 3.03814- 3 1.60000+ 1 3.00000+ 1 1.19486- 3 3.13054- 3 1.60000+ 1 3.20000+ 1 9.62805- 5 3.24273- 3 1.60000+ 1 3.30000+ 1 1.32271- 4 3.25642- 3 1.60000+ 1 3.50000+ 1 1.70410- 4 3.37936- 3 1.60000+ 1 3.60000+ 1 2.90515- 4 3.38129- 3 1.60000+ 1 4.10000+ 1 2.62156- 6 3.32805- 3 1.60000+ 1 4.30000+ 1 3.33650- 6 3.35088- 3 1.60000+ 1 4.40000+ 1 1.48954- 4 3.36546- 3 1.60000+ 1 5.80000+ 1 2.38324- 7 3.38512- 3 1.80000+ 1 1.80000+ 1 1.21543- 5 1.90000- 3 1.80000+ 1 1.90000+ 1 1.01167- 2 2.25770- 3 1.80000+ 1 2.10000+ 1 2.69069- 4 2.54960- 3 1.80000+ 1 2.20000+ 1 2.50681- 3 2.61353- 3 1.80000+ 1 2.40000+ 1 1.39409- 3 2.99967- 3 1.80000+ 1 2.50000+ 1 6.34943- 3 3.01747- 3 1.80000+ 1 2.70000+ 1 6.33920- 5 3.14497- 3 1.80000+ 1 2.90000+ 1 9.05605- 6 3.22084- 3 1.80000+ 1 3.00000+ 1 1.60054- 3 3.31324- 3 1.80000+ 1 3.20000+ 1 5.71973- 5 3.42543- 3 1.80000+ 1 3.30000+ 1 4.16350- 4 3.43912- 3 1.80000+ 1 3.50000+ 1 7.10190- 5 3.56206- 3 1.80000+ 1 3.60000+ 1 3.37463- 4 3.56399- 3 1.80000+ 1 4.10000+ 1 1.21543- 5 3.51075- 3 1.80000+ 1 4.30000+ 1 1.66819- 6 3.53358- 3 1.80000+ 1 4.40000+ 1 2.00909- 4 3.54816- 3 1.80000+ 1 5.80000+ 1 9.53257- 7 3.56782- 3 1.90000+ 1 1.90000+ 1 1.22591- 2 2.61540- 3 1.90000+ 1 2.10000+ 1 1.85193- 2 2.90730- 3 1.90000+ 1 2.20000+ 1 2.37501- 2 2.97123- 3 1.90000+ 1 2.40000+ 1 1.80483- 2 3.35737- 3 1.90000+ 1 2.50000+ 1 2.04858- 2 3.37517- 3 1.90000+ 1 2.70000+ 1 2.09151- 3 3.50267- 3 1.90000+ 1 2.90000+ 1 2.52650- 3 3.57854- 3 1.90000+ 1 3.00000+ 1 4.97130- 3 3.67094- 3 1.90000+ 1 3.20000+ 1 3.75913- 3 3.78313- 3 1.90000+ 1 3.30000+ 1 4.81064- 3 3.79682- 3 1.90000+ 1 3.50000+ 1 1.43760- 3 3.91976- 3 1.90000+ 1 3.60000+ 1 1.56097- 3 3.92169- 3 1.90000+ 1 4.10000+ 1 4.09685- 4 3.86845- 3 1.90000+ 1 4.30000+ 1 4.09929- 4 3.89128- 3 1.90000+ 1 4.40000+ 1 6.58501- 4 3.90586- 3 1.90000+ 1 5.80000+ 1 3.14590- 5 3.92552- 3 2.10000+ 1 2.10000+ 1 1.36796- 4 3.19920- 3 2.10000+ 1 2.20000+ 1 3.18103- 3 3.26313- 3 2.10000+ 1 2.40000+ 1 5.41221- 4 3.64927- 3 2.10000+ 1 2.50000+ 1 6.01188- 3 3.66707- 3 2.10000+ 1 2.70000+ 1 7.17331- 5 3.79457- 3 2.10000+ 1 2.90000+ 1 1.02480- 5 3.87044- 3 2.10000+ 1 3.00000+ 1 2.83959- 3 3.96284- 3 2.10000+ 1 3.20000+ 1 4.55176- 5 4.07503- 3 2.10000+ 1 3.30000+ 1 5.55753- 4 4.08872- 3 2.10000+ 1 3.50000+ 1 3.50328- 5 4.21166- 3 2.10000+ 1 3.60000+ 1 2.65967- 4 4.21359- 3 2.10000+ 1 4.10000+ 1 1.19155- 5 4.16035- 3 2.10000+ 1 4.30000+ 1 1.42987- 6 4.18318- 3 2.10000+ 1 4.40000+ 1 3.53908- 4 4.19776- 3 2.10000+ 1 5.80000+ 1 9.53248- 7 4.21742- 3 2.20000+ 1 2.20000+ 1 1.33103- 3 3.32706- 3 2.20000+ 1 2.40000+ 1 4.61943- 3 3.71320- 3 2.20000+ 1 2.50000+ 1 3.72113- 3 3.73100- 3 2.20000+ 1 2.70000+ 1 1.12735- 4 3.85850- 3 2.20000+ 1 2.90000+ 1 2.38083- 4 3.93437- 3 2.20000+ 1 3.00000+ 1 3.59032- 3 4.02677- 3 2.20000+ 1 3.20000+ 1 5.43857- 4 4.13896- 3 2.20000+ 1 3.30000+ 1 4.70210- 4 4.15265- 3 2.20000+ 1 3.50000+ 1 2.76936- 4 4.27559- 3 2.20000+ 1 3.60000+ 1 2.10682- 4 4.27752- 3 2.20000+ 1 4.10000+ 1 1.93039- 5 4.22428- 3 2.20000+ 1 4.30000+ 1 3.16971- 5 4.24711- 3 2.20000+ 1 4.40000+ 1 4.46134- 4 4.26169- 3 2.20000+ 1 5.80000+ 1 1.42991- 6 4.28135- 3 2.40000+ 1 2.40000+ 1 8.37944- 4 4.09934- 3 2.40000+ 1 2.50000+ 1 2.14824- 2 4.11714- 3 2.40000+ 1 2.70000+ 1 3.03386- 4 4.24464- 3 2.40000+ 1 2.90000+ 1 2.72406- 4 4.32051- 3 2.40000+ 1 3.00000+ 1 2.61987- 3 4.41291- 3 2.40000+ 1 3.20000+ 1 1.27499- 4 4.52510- 3 2.40000+ 1 3.30000+ 1 8.75370- 4 4.53879- 3 2.40000+ 1 3.50000+ 1 1.14630- 4 4.66173- 3 2.40000+ 1 3.60000+ 1 1.27126- 3 4.66366- 3 2.40000+ 1 4.10000+ 1 5.02859- 5 4.61042- 3 2.40000+ 1 4.30000+ 1 4.19454- 5 4.63325- 3 2.40000+ 1 4.40000+ 1 3.24117- 4 4.64783- 3 2.40000+ 1 5.80000+ 1 3.81315- 6 4.66749- 3 2.50000+ 1 2.50000+ 1 8.55965- 3 4.13494- 3 2.50000+ 1 2.70000+ 1 5.50292- 4 4.26244- 3 2.50000+ 1 2.90000+ 1 1.20778- 3 4.33831- 3 2.50000+ 1 3.00000+ 1 3.12699- 3 4.43071- 3 2.50000+ 1 3.20000+ 1 1.20139- 3 4.54290- 3 2.50000+ 1 3.30000+ 1 7.72887- 4 4.55659- 3 2.50000+ 1 3.50000+ 1 1.28214- 3 4.67953- 3 2.50000+ 1 3.60000+ 1 1.03096- 3 4.68146- 3 2.50000+ 1 4.10000+ 1 9.00901- 5 4.62822- 3 2.50000+ 1 4.30000+ 1 1.86370- 4 4.65105- 3 2.50000+ 1 4.40000+ 1 3.92760- 4 4.66563- 3 2.50000+ 1 5.80000+ 1 6.67310- 6 4.68529- 3 2.70000+ 1 2.70000+ 1 1.66821- 6 4.38994- 3 2.70000+ 1 2.90000+ 1 7.86453- 6 4.46581- 3 2.70000+ 1 3.00000+ 1 3.21975- 4 4.55821- 3 2.70000+ 1 3.20000+ 1 1.38227- 5 4.67040- 3 2.70000+ 1 3.30000+ 1 2.04949- 5 4.68409- 3 2.70000+ 1 3.50000+ 1 1.81129- 5 4.80703- 3 2.70000+ 1 3.60000+ 1 3.14581- 5 4.80896- 3 2.70000+ 1 4.10000+ 1 7.14957- 7 4.75572- 3 2.70000+ 1 4.30000+ 1 1.19157- 6 4.77855- 3 2.70000+ 1 4.40000+ 1 4.02760- 5 4.79313- 3 2.90000+ 1 2.90000+ 1 4.76643- 7 4.54168- 3 2.90000+ 1 3.00000+ 1 4.02047- 4 4.63408- 3 2.90000+ 1 3.20000+ 1 2.14485- 6 4.74627- 3 2.90000+ 1 3.30000+ 1 4.26593- 5 4.75996- 3 2.90000+ 1 3.50000+ 1 1.69218- 5 4.88290- 3 2.90000+ 1 3.60000+ 1 7.45962- 5 4.88483- 3 2.90000+ 1 4.10000+ 1 1.42990- 6 4.83159- 3 2.90000+ 1 4.30000+ 1 2.38327- 7 4.85442- 3 2.90000+ 1 4.40000+ 1 5.05247- 5 4.86900- 3 3.00000+ 1 3.00000+ 1 4.73074- 4 4.72648- 3 3.00000+ 1 3.20000+ 1 5.79363- 4 4.83867- 3 3.00000+ 1 3.30000+ 1 7.29504- 4 4.85236- 3 3.00000+ 1 3.50000+ 1 2.09020- 4 4.97530- 3 3.00000+ 1 3.60000+ 1 2.34982- 4 4.97723- 3 3.00000+ 1 4.10000+ 1 6.31553- 5 4.92399- 3 3.00000+ 1 4.30000+ 1 6.53000- 5 4.94682- 3 3.00000+ 1 4.40000+ 1 1.23931- 4 4.96140- 3 3.00000+ 1 5.80000+ 1 4.76644- 6 4.98106- 3 3.20000+ 1 3.20000+ 1 3.81311- 6 4.95086- 3 3.20000+ 1 3.30000+ 1 1.04145- 4 4.96455- 3 3.20000+ 1 3.50000+ 1 7.38794- 6 5.08749- 3 3.20000+ 1 3.60000+ 1 5.76735- 5 5.08942- 3 3.20000+ 1 4.10000+ 1 2.38324- 6 5.03618- 3 3.20000+ 1 4.30000+ 1 2.38324- 7 5.05901- 3 3.20000+ 1 4.40000+ 1 7.22101- 5 5.07359- 3 3.20000+ 1 5.80000+ 1 2.38324- 7 5.09325- 3 3.30000+ 1 3.30000+ 1 4.43281- 5 4.97824- 3 3.30000+ 1 3.50000+ 1 5.62440- 5 5.10118- 3 3.30000+ 1 3.60000+ 1 4.48053- 5 5.10311- 3 3.30000+ 1 4.10000+ 1 3.57488- 6 5.04987- 3 3.30000+ 1 4.30000+ 1 5.71986- 6 5.07270- 3 3.30000+ 1 4.40000+ 1 9.07991- 5 5.08728- 3 3.30000+ 1 5.80000+ 1 2.38329- 7 5.10694- 3 3.50000+ 1 3.50000+ 1 3.81307- 6 5.22412- 3 3.50000+ 1 3.60000+ 1 8.10281- 5 5.22605- 3 3.50000+ 1 4.10000+ 1 2.85983- 6 5.17281- 3 3.50000+ 1 4.30000+ 1 2.62153- 6 5.19564- 3 3.50000+ 1 4.40000+ 1 2.57390- 5 5.21022- 3 3.50000+ 1 5.80000+ 1 2.38321- 7 5.22988- 3 3.60000+ 1 3.60000+ 1 3.14580- 5 5.22798- 3 3.60000+ 1 4.10000+ 1 5.00469- 6 5.17474- 3 3.60000+ 1 4.30000+ 1 1.16780- 5 5.19757- 3 3.60000+ 1 4.40000+ 1 2.93136- 5 5.21215- 3 3.60000+ 1 5.80000+ 1 4.76638- 7 5.23181- 3 4.10000+ 1 4.30000+ 1 2.38326- 7 5.14433- 3 4.10000+ 1 4.40000+ 1 7.86456- 6 5.15891- 3 4.30000+ 1 4.40000+ 1 8.10299- 6 5.18174- 3 4.40000+ 1 4.40000+ 1 8.10293- 6 5.19632- 3 4.40000+ 1 5.80000+ 1 7.14954- 7 5.21598- 3 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.75741- 3 2.95190- 3 1.90000+ 1 2.16661- 4 3.30960- 3 2.40000+ 1 5.84062- 2 4.05157- 3 2.90000+ 1 6.54642- 4 4.27274- 3 3.00000+ 1 5.19902- 5 4.36514- 3 3.50000+ 1 4.89101- 3 4.61396- 3 4.30000+ 1 1.08700- 4 4.58548- 3 4.40000+ 1 7.44342- 6 4.60006- 3 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.00000+ 1 3.09535- 3 0.00000+ 0 1.40000+ 1 3.20000+ 1 4.47974- 2 1.07730- 4 1.40000+ 1 3.30000+ 1 6.39832- 3 1.21420- 4 1.40000+ 1 3.50000+ 1 3.46047- 2 2.44360- 4 1.40000+ 1 3.60000+ 1 3.59160- 3 2.46290- 4 1.40000+ 1 4.10000+ 1 8.66096- 4 1.93050- 4 1.40000+ 1 4.30000+ 1 3.96381- 4 2.15880- 4 1.40000+ 1 4.40000+ 1 7.36986- 4 2.30460- 4 1.40000+ 1 5.80000+ 1 6.54573- 5 2.50120- 4 1.60000+ 1 1.80000+ 1 5.99410- 4 1.09560- 3 1.60000+ 1 1.90000+ 1 6.52750- 4 1.45330- 3 1.60000+ 1 2.10000+ 1 2.55454- 2 1.74520- 3 1.60000+ 1 2.20000+ 1 3.10741- 3 1.80913- 3 1.60000+ 1 2.40000+ 1 1.64253- 2 2.19527- 3 1.60000+ 1 2.50000+ 1 3.38864- 3 2.21307- 3 1.60000+ 1 2.70000+ 1 1.27272- 5 2.34057- 3 1.60000+ 1 2.90000+ 1 1.32126- 4 2.41644- 3 1.60000+ 1 3.00000+ 1 1.05451- 4 2.50884- 3 1.60000+ 1 3.20000+ 1 3.45595- 3 2.62103- 3 1.60000+ 1 3.30000+ 1 4.57587- 4 2.63472- 3 1.60000+ 1 3.50000+ 1 9.26690- 4 2.75766- 3 1.60000+ 1 3.60000+ 1 1.49703- 4 2.75959- 3 1.60000+ 1 4.10000+ 1 3.03031- 6 2.70635- 3 1.60000+ 1 4.30000+ 1 2.06069- 5 2.72918- 3 1.60000+ 1 4.40000+ 1 1.33344- 5 2.74376- 3 1.80000+ 1 1.80000+ 1 1.81821- 4 1.27830- 3 1.80000+ 1 1.90000+ 1 2.72254- 3 1.63600- 3 1.80000+ 1 2.10000+ 1 2.32007- 2 1.92790- 3 1.80000+ 1 2.20000+ 1 1.15339- 3 1.99183- 3 1.80000+ 1 2.40000+ 1 1.35982- 2 2.37797- 3 1.80000+ 1 2.50000+ 1 7.99492- 3 2.39577- 3 1.80000+ 1 2.70000+ 1 7.33359- 5 2.52327- 3 1.80000+ 1 2.90000+ 1 9.27304- 5 2.59914- 3 1.80000+ 1 3.00000+ 1 4.92134- 4 2.69154- 3 1.80000+ 1 3.20000+ 1 3.09475- 3 2.80373- 3 1.80000+ 1 3.30000+ 1 1.89102- 4 2.81742- 3 1.80000+ 1 3.50000+ 1 7.42447- 4 2.94036- 3 1.80000+ 1 3.60000+ 1 4.40623- 4 2.94229- 3 1.80000+ 1 4.10000+ 1 1.27273- 5 2.88905- 3 1.80000+ 1 4.30000+ 1 1.45459- 5 2.91188- 3 1.80000+ 1 4.40000+ 1 6.36385- 5 2.92646- 3 1.80000+ 1 5.80000+ 1 6.06095- 7 2.94612- 3 1.90000+ 1 1.90000+ 1 9.37017- 4 1.99370- 3 1.90000+ 1 2.10000+ 1 4.28880- 2 2.28560- 3 1.90000+ 1 2.20000+ 1 1.62548- 3 2.34953- 3 1.90000+ 1 2.40000+ 1 1.47577- 3 2.73567- 3 1.90000+ 1 2.50000+ 1 1.40127- 3 2.75347- 3 1.90000+ 1 2.70000+ 1 1.27883- 4 2.88097- 3 1.90000+ 1 2.90000+ 1 4.08507- 4 2.95684- 3 1.90000+ 1 3.00000+ 1 3.22430- 4 3.04924- 3 1.90000+ 1 3.20000+ 1 5.79783- 3 3.16143- 3 1.90000+ 1 3.30000+ 1 2.53340- 4 3.17512- 3 1.90000+ 1 3.50000+ 1 6.06099- 5 3.29806- 3 1.90000+ 1 3.60000+ 1 5.39426- 5 3.29999- 3 1.90000+ 1 4.10000+ 1 2.30310- 5 3.24675- 3 1.90000+ 1 4.30000+ 1 6.00027- 5 3.26958- 3 1.90000+ 1 4.40000+ 1 4.12132- 5 3.28416- 3 1.90000+ 1 5.80000+ 1 1.81822- 6 3.30382- 3 2.10000+ 1 2.10000+ 1 4.02649- 2 2.57750- 3 2.10000+ 1 2.20000+ 1 7.78593- 2 2.64143- 3 2.10000+ 1 2.40000+ 1 4.87799- 2 3.02757- 3 2.10000+ 1 2.50000+ 1 5.70152- 2 3.04537- 3 2.10000+ 1 2.70000+ 1 6.09911- 3 3.17287- 3 2.10000+ 1 2.90000+ 1 5.85252- 3 3.24874- 3 2.10000+ 1 3.00000+ 1 1.04295- 2 3.34114- 3 2.10000+ 1 3.20000+ 1 1.37432- 2 3.45333- 3 2.10000+ 1 3.30000+ 1 1.55958- 2 3.46702- 3 2.10000+ 1 3.50000+ 1 3.89845- 3 3.58996- 3 2.10000+ 1 3.60000+ 1 4.43476- 3 3.59189- 3 2.10000+ 1 4.10000+ 1 1.17638- 3 3.53865- 3 2.10000+ 1 4.30000+ 1 9.52137- 4 3.56148- 3 2.10000+ 1 4.40000+ 1 1.42006- 3 3.57606- 3 2.10000+ 1 5.80000+ 1 8.97029- 5 3.59572- 3 2.20000+ 1 2.20000+ 1 1.21580- 3 2.70536- 3 2.20000+ 1 2.40000+ 1 5.88916- 2 3.09150- 3 2.20000+ 1 2.50000+ 1 2.68617- 3 3.10930- 3 2.20000+ 1 2.70000+ 1 3.38805- 4 3.23680- 3 2.20000+ 1 2.90000+ 1 1.48495- 4 3.31267- 3 2.20000+ 1 3.00000+ 1 3.10922- 4 3.40507- 3 2.20000+ 1 3.20000+ 1 1.05372- 2 3.51726- 3 2.20000+ 1 3.30000+ 1 3.92125- 4 3.53095- 3 2.20000+ 1 3.50000+ 1 4.25581- 3 3.65389- 3 2.20000+ 1 3.60000+ 1 1.70315- 4 3.65582- 3 2.20000+ 1 4.10000+ 1 5.63649- 5 3.60258- 3 2.20000+ 1 4.30000+ 1 2.18183- 5 3.62541- 3 2.20000+ 1 4.40000+ 1 4.06077- 5 3.63999- 3 2.20000+ 1 5.80000+ 1 4.24253- 6 3.65965- 3 2.40000+ 1 2.40000+ 1 5.86902- 2 3.47764- 3 2.40000+ 1 2.50000+ 1 1.66929- 1 3.49544- 3 2.40000+ 1 2.70000+ 1 4.23639- 3 3.62294- 3 2.40000+ 1 2.90000+ 1 2.59956- 3 3.69881- 3 2.40000+ 1 3.00000+ 1 3.61232- 4 3.79121- 3 2.40000+ 1 3.20000+ 1 7.30073- 3 3.90340- 3 2.40000+ 1 3.30000+ 1 1.11502- 2 3.91709- 3 2.40000+ 1 3.50000+ 1 8.17477- 3 4.04003- 3 2.40000+ 1 3.60000+ 1 1.21788- 2 4.04196- 3 2.40000+ 1 4.10000+ 1 8.24877- 4 3.98872- 3 2.40000+ 1 4.30000+ 1 4.12124- 4 4.01155- 3 2.40000+ 1 4.40000+ 1 4.96992- 5 4.02613- 3 2.40000+ 1 5.80000+ 1 6.36377- 5 4.04579- 3 2.50000+ 1 2.50000+ 1 3.42505- 3 3.51324- 3 2.50000+ 1 2.70000+ 1 5.97612- 4 3.64074- 3 2.50000+ 1 2.90000+ 1 7.67312- 4 3.71661- 3 2.50000+ 1 3.00000+ 1 3.04864- 4 3.80901- 3 2.50000+ 1 3.20000+ 1 6.96154- 3 3.92120- 3 2.50000+ 1 3.30000+ 1 4.70937- 4 3.93489- 3 2.50000+ 1 3.50000+ 1 1.01198- 2 4.05783- 3 2.50000+ 1 3.60000+ 1 4.54568- 4 4.05976- 3 2.50000+ 1 4.10000+ 1 1.06062- 4 4.00652- 3 2.50000+ 1 4.30000+ 1 1.04853- 4 4.02935- 3 2.50000+ 1 4.40000+ 1 4.06081- 5 4.04393- 3 2.50000+ 1 5.80000+ 1 7.87915- 6 4.06359- 3 2.70000+ 1 2.70000+ 1 1.21211- 6 3.76824- 3 2.70000+ 1 2.90000+ 1 1.93944- 5 3.84411- 3 2.70000+ 1 3.00000+ 1 2.12121- 5 3.93651- 3 2.70000+ 1 3.20000+ 1 8.30939- 4 4.04870- 3 2.70000+ 1 3.30000+ 1 5.63649- 5 4.06239- 3 2.70000+ 1 3.50000+ 1 2.56374- 4 4.18533- 3 2.70000+ 1 3.60000+ 1 3.45467- 5 4.18726- 3 2.70000+ 1 4.10000+ 1 6.06094- 7 4.13402- 3 2.70000+ 1 4.30000+ 1 3.03032- 6 4.15685- 3 2.70000+ 1 4.40000+ 1 2.42422- 6 4.17143- 3 2.90000+ 1 2.90000+ 1 1.21210- 5 3.91998- 3 2.90000+ 1 3.00000+ 1 8.06085- 5 4.01238- 3 2.90000+ 1 3.20000+ 1 7.85472- 4 4.12457- 3 2.90000+ 1 3.30000+ 1 2.90916- 5 4.13826- 3 2.90000+ 1 3.50000+ 1 1.47884- 4 4.26120- 3 2.90000+ 1 3.60000+ 1 4.48497- 5 4.26313- 3 2.90000+ 1 4.10000+ 1 3.63640- 6 4.20989- 3 2.90000+ 1 4.30000+ 1 3.63640- 6 4.23272- 3 2.90000+ 1 4.40000+ 1 1.03034- 5 4.24730- 3 3.00000+ 1 3.00000+ 1 2.84861- 5 4.10478- 3 3.00000+ 1 3.20000+ 1 1.41886- 3 4.21697- 3 3.00000+ 1 3.30000+ 1 5.15182- 5 4.23066- 3 3.00000+ 1 3.50000+ 1 1.81824- 5 4.35360- 3 3.00000+ 1 3.60000+ 1 1.21213- 5 4.35553- 3 3.00000+ 1 4.10000+ 1 4.24260- 6 4.30229- 3 3.00000+ 1 4.30000+ 1 1.21213- 5 4.32512- 3 3.00000+ 1 4.40000+ 1 7.27317- 6 4.33970- 3 3.20000+ 1 3.20000+ 1 1.11643- 3 4.32916- 3 3.20000+ 1 3.30000+ 1 2.12430- 3 4.34285- 3 3.20000+ 1 3.50000+ 1 5.81227- 4 4.46579- 3 3.20000+ 1 3.60000+ 1 5.49719- 4 4.46772- 3 3.20000+ 1 4.10000+ 1 1.60000- 4 4.41448- 3 3.20000+ 1 4.30000+ 1 1.27882- 4 4.43731- 3 3.20000+ 1 4.40000+ 1 1.93336- 4 4.45189- 3 3.20000+ 1 5.80000+ 1 1.21211- 5 4.47155- 3 3.30000+ 1 3.30000+ 1 3.15180- 5 4.35654- 3 3.30000+ 1 3.50000+ 1 8.16408- 4 4.47948- 3 3.30000+ 1 3.60000+ 1 3.03036- 5 4.48141- 3 3.30000+ 1 4.10000+ 1 9.69767- 6 4.42817- 3 3.30000+ 1 4.30000+ 1 4.24258- 6 4.45100- 3 3.30000+ 1 4.40000+ 1 6.66703- 6 4.46558- 3 3.30000+ 1 5.80000+ 1 6.06101- 7 4.48524- 3 3.50000+ 1 3.50000+ 1 2.67892- 4 4.60242- 3 3.50000+ 1 3.60000+ 1 7.55808- 4 4.60435- 3 3.50000+ 1 4.10000+ 1 5.03056- 5 4.55111- 3 3.50000+ 1 4.30000+ 1 2.36373- 5 4.57394- 3 3.50000+ 1 4.40000+ 1 2.42426- 6 4.58852- 3 3.50000+ 1 5.80000+ 1 3.63648- 6 4.60818- 3 3.60000+ 1 3.60000+ 1 1.45459- 5 4.60628- 3 3.60000+ 1 4.10000+ 1 6.66696- 6 4.55304- 3 3.60000+ 1 4.30000+ 1 6.06095- 6 4.57587- 3 3.60000+ 1 4.40000+ 1 1.81821- 6 4.59045- 3 3.60000+ 1 5.80000+ 1 6.06095- 7 4.61011- 3 4.10000+ 1 4.30000+ 1 6.06102- 7 4.52263- 3 4.10000+ 1 4.40000+ 1 6.06102- 7 4.53721- 3 4.30000+ 1 4.30000+ 1 5.00293- 7 4.54546- 3 4.30000+ 1 4.40000+ 1 1.50081- 6 4.56004- 3 4.40000+ 1 4.40000+ 1 6.06102- 7 4.57462- 3 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.68911- 3 3.05370- 3 2.40000+ 1 2.75301- 3 3.79567- 3 2.50000+ 1 5.39592- 2 3.81347- 3 3.00000+ 1 4.02552- 4 4.10924- 3 3.50000+ 1 2.24921- 4 4.35806- 3 3.60000+ 1 4.32722- 3 4.35999- 3 4.40000+ 1 5.75973- 5 4.34416- 3 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 5.95958- 5 6.57000- 4 1.60000+ 1 1.80000+ 1 3.66354- 4 8.39700- 4 1.60000+ 1 1.90000+ 1 1.30109- 3 1.19740- 3 1.60000+ 1 2.10000+ 1 3.13985- 3 1.48930- 3 1.60000+ 1 2.20000+ 1 2.92149- 2 1.55323- 3 1.60000+ 1 2.40000+ 1 3.97527- 3 1.93937- 3 1.60000+ 1 2.50000+ 1 1.74361- 2 1.95717- 3 1.60000+ 1 2.70000+ 1 2.57193- 5 2.08467- 3 1.60000+ 1 2.90000+ 1 3.57568- 5 2.16054- 3 1.60000+ 1 3.00000+ 1 2.15797- 4 2.25294- 3 1.60000+ 1 3.20000+ 1 4.17166- 4 2.36513- 3 1.60000+ 1 3.30000+ 1 3.92135- 3 2.37882- 3 1.60000+ 1 3.50000+ 1 1.68759- 4 2.50176- 3 1.60000+ 1 3.60000+ 1 8.55668- 4 2.50369- 3 1.60000+ 1 4.10000+ 1 5.64607- 6 2.45045- 3 1.60000+ 1 4.30000+ 1 5.64607- 6 2.47328- 3 1.60000+ 1 4.40000+ 1 2.69754- 5 2.48786- 3 1.60000+ 1 5.80000+ 1 6.27340- 7 2.50752- 3 1.80000+ 1 1.80000+ 1 3.63848- 5 1.02240- 3 1.80000+ 1 1.90000+ 1 4.40509- 3 1.38010- 3 1.80000+ 1 2.10000+ 1 2.25841- 4 1.67200- 3 1.80000+ 1 2.20000+ 1 2.97551- 2 1.73593- 3 1.80000+ 1 2.40000+ 1 2.44282- 3 2.12207- 3 1.80000+ 1 2.50000+ 1 1.17359- 2 2.13987- 3 1.80000+ 1 2.70000+ 1 4.20301- 5 2.26737- 3 1.80000+ 1 2.90000+ 1 8.15528- 6 2.34324- 3 1.80000+ 1 3.00000+ 1 7.33335- 4 2.43564- 3 1.80000+ 1 3.20000+ 1 5.64606- 6 2.54783- 3 1.80000+ 1 3.30000+ 1 3.96977- 3 2.56152- 3 1.80000+ 1 3.50000+ 1 1.29231- 4 2.68446- 3 1.80000+ 1 3.60000+ 1 5.73392- 4 2.68639- 3 1.80000+ 1 4.10000+ 1 6.90073- 6 2.63315- 3 1.80000+ 1 4.30000+ 1 1.25467- 6 2.65598- 3 1.80000+ 1 4.40000+ 1 9.28454- 5 2.67056- 3 1.80000+ 1 5.80000+ 1 6.27339- 7 2.69022- 3 1.90000+ 1 1.90000+ 1 2.48418- 3 1.73780- 3 1.90000+ 1 2.10000+ 1 2.59201- 3 2.02970- 3 1.90000+ 1 2.20000+ 1 4.16110- 2 2.09363- 3 1.90000+ 1 2.40000+ 1 1.72575- 3 2.47977- 3 1.90000+ 1 2.50000+ 1 2.46411- 3 2.49757- 3 1.90000+ 1 2.70000+ 1 2.71003- 4 2.62507- 3 1.90000+ 1 2.90000+ 1 5.80905- 4 2.70094- 3 1.90000+ 1 3.00000+ 1 8.41264- 4 2.79334- 3 1.90000+ 1 3.20000+ 1 4.46033- 4 2.90553- 3 1.90000+ 1 3.30000+ 1 5.51860- 3 2.91922- 3 1.90000+ 1 3.50000+ 1 7.27699- 5 3.04216- 3 1.90000+ 1 3.60000+ 1 9.47271- 5 3.04409- 3 1.90000+ 1 4.10000+ 1 5.01877- 5 2.99085- 3 1.90000+ 1 4.30000+ 1 8.40625- 5 3.01368- 3 1.90000+ 1 4.40000+ 1 1.07894- 4 3.02826- 3 1.90000+ 1 5.80000+ 1 3.76392- 6 3.04792- 3 2.10000+ 1 2.10000+ 1 5.78992- 4 2.32160- 3 2.10000+ 1 2.20000+ 1 5.99679- 2 2.38553- 3 2.10000+ 1 2.40000+ 1 2.56009- 3 2.77167- 3 2.10000+ 1 2.50000+ 1 3.55004- 2 2.78947- 3 2.10000+ 1 2.70000+ 1 3.13649- 4 2.91697- 3 2.10000+ 1 2.90000+ 1 6.90058- 5 2.99284- 3 2.10000+ 1 3.00000+ 1 4.42896- 4 3.08524- 3 2.10000+ 1 3.20000+ 1 1.78151- 4 3.19743- 3 2.10000+ 1 3.30000+ 1 8.06036- 3 3.21112- 3 2.10000+ 1 3.50000+ 1 1.80038- 4 3.33406- 3 2.10000+ 1 3.60000+ 1 2.47602- 3 3.33599- 3 2.10000+ 1 4.10000+ 1 5.14404- 5 3.28275- 3 2.10000+ 1 4.30000+ 1 1.06643- 5 3.30558- 3 2.10000+ 1 4.40000+ 1 5.70864- 5 3.32016- 3 2.10000+ 1 5.80000+ 1 3.76381- 6 3.33982- 3 2.20000+ 1 2.20000+ 1 6.55486- 2 2.44946- 3 2.20000+ 1 2.40000+ 1 5.62760- 2 2.83560- 3 2.20000+ 1 2.50000+ 1 9.08816- 2 2.85340- 3 2.20000+ 1 2.70000+ 1 6.54927- 3 2.98090- 3 2.20000+ 1 2.90000+ 1 7.11720- 3 3.05677- 3 2.20000+ 1 3.00000+ 1 1.02163- 2 3.14917- 3 2.20000+ 1 3.20000+ 1 1.19885- 2 3.26136- 3 2.20000+ 1 3.30000+ 1 2.19371- 2 3.27505- 3 2.20000+ 1 3.50000+ 1 4.47718- 3 3.39799- 3 2.20000+ 1 3.60000+ 1 6.71003- 3 3.39992- 3 2.20000+ 1 4.10000+ 1 1.25397- 3 3.34668- 3 2.20000+ 1 4.30000+ 1 1.14553- 3 3.36951- 3 2.20000+ 1 4.40000+ 1 1.39395- 3 3.38409- 3 2.20000+ 1 5.80000+ 1 9.59817- 5 3.40375- 3 2.40000+ 1 2.40000+ 1 5.14083- 3 3.22174- 3 2.40000+ 1 2.50000+ 1 1.62775- 1 3.23954- 3 2.40000+ 1 2.70000+ 1 7.97318- 4 3.36704- 3 2.40000+ 1 2.90000+ 1 5.30078- 4 3.44291- 3 2.40000+ 1 3.00000+ 1 3.57560- 4 3.53531- 3 2.40000+ 1 3.20000+ 1 4.89302- 4 3.64750- 3 2.40000+ 1 3.30000+ 1 7.09886- 3 3.66119- 3 2.40000+ 1 3.50000+ 1 7.12003- 4 3.78413- 3 2.40000+ 1 3.60000+ 1 9.53054- 3 3.78606- 3 2.40000+ 1 4.10000+ 1 1.46160- 4 3.73282- 3 2.40000+ 1 4.30000+ 1 8.40600- 5 3.75565- 3 2.40000+ 1 4.40000+ 1 4.76762- 5 3.77023- 3 2.40000+ 1 5.80000+ 1 1.12913- 5 3.78989- 3 2.50000+ 1 2.50000+ 1 1.10659- 1 3.25734- 3 2.50000+ 1 2.70000+ 1 4.46839- 3 3.38484- 3 2.50000+ 1 2.90000+ 1 2.85688- 3 3.46071- 3 2.50000+ 1 3.00000+ 1 5.53922- 4 3.55311- 3 2.50000+ 1 3.20000+ 1 6.51470- 3 3.66530- 3 2.50000+ 1 3.30000+ 1 1.41082- 2 3.67899- 3 2.50000+ 1 3.50000+ 1 1.19485- 2 3.80193- 3 2.50000+ 1 3.60000+ 1 1.44747- 2 3.80386- 3 2.50000+ 1 4.10000+ 1 8.69474- 4 3.75062- 3 2.50000+ 1 4.30000+ 1 4.62954- 4 3.77345- 3 2.50000+ 1 4.40000+ 1 7.52804- 5 3.78803- 3 2.50000+ 1 5.80000+ 1 6.83791- 5 3.80769- 3 2.70000+ 1 2.90000+ 1 1.25467- 6 3.58821- 3 2.70000+ 1 3.00000+ 1 4.70492- 5 3.68061- 3 2.70000+ 1 3.20000+ 1 4.89314- 5 3.79280- 3 2.70000+ 1 3.30000+ 1 8.84532- 4 3.80649- 3 2.70000+ 1 3.50000+ 1 4.51681- 5 3.92943- 3 2.70000+ 1 3.60000+ 1 2.47797- 4 3.93136- 3 2.70000+ 1 4.40000+ 1 6.27339- 6 3.91553- 3 2.90000+ 1 3.00000+ 1 1.04767- 4 3.75648- 3 2.90000+ 1 3.20000+ 1 4.39115- 6 3.86867- 3 2.90000+ 1 3.30000+ 1 9.65423- 4 3.88236- 3 2.90000+ 1 3.50000+ 1 2.82299- 5 4.00530- 3 2.90000+ 1 3.60000+ 1 1.47421- 4 4.00723- 3 2.90000+ 1 4.40000+ 1 1.31735- 5 3.99140- 3 3.00000+ 1 3.00000+ 1 7.08885- 5 3.84888- 3 3.00000+ 1 3.20000+ 1 8.15543- 5 3.96107- 3 3.00000+ 1 3.30000+ 1 1.36002- 3 3.97476- 3 3.00000+ 1 3.50000+ 1 1.75652- 5 4.09770- 3 3.00000+ 1 3.60000+ 1 2.57197- 5 4.09963- 3 3.00000+ 1 4.10000+ 1 8.78277- 6 4.04639- 3 3.00000+ 1 4.30000+ 1 1.50560- 5 4.06922- 3 3.00000+ 1 4.40000+ 1 1.81922- 5 4.08380- 3 3.00000+ 1 5.80000+ 1 6.27350- 7 4.10346- 3 3.20000+ 1 3.20000+ 1 1.25468- 5 4.07326- 3 3.20000+ 1 3.30000+ 1 1.62231- 3 4.08695- 3 3.20000+ 1 3.50000+ 1 3.45029- 5 4.20989- 3 3.20000+ 1 3.60000+ 1 4.65474- 4 4.21182- 3 3.20000+ 1 4.10000+ 1 8.15535- 6 4.15858- 3 3.20000+ 1 4.30000+ 1 6.27344- 7 4.18141- 3 3.20000+ 1 4.40000+ 1 1.06646- 5 4.19599- 3 3.20000+ 1 5.80000+ 1 6.27344- 7 4.21565- 3 3.30000+ 1 3.30000+ 1 1.75340- 3 4.10064- 3 3.30000+ 1 3.50000+ 1 5.70879- 4 4.22358- 3 3.30000+ 1 3.60000+ 1 1.03511- 3 4.22551- 3 3.30000+ 1 4.10000+ 1 1.69380- 4 4.17227- 3 3.30000+ 1 4.30000+ 1 1.55581- 4 4.19510- 3 3.30000+ 1 4.40000+ 1 1.85694- 4 4.20968- 3 3.30000+ 1 5.80000+ 1 1.31737- 5 4.22934- 3 3.50000+ 1 3.50000+ 1 2.32111- 5 4.34652- 3 3.50000+ 1 3.60000+ 1 7.16412- 4 4.34845- 3 3.50000+ 1 4.10000+ 1 8.78262- 6 4.29521- 3 3.50000+ 1 4.30000+ 1 4.39121- 6 4.31804- 3 3.50000+ 1 4.40000+ 1 2.50922- 6 4.33262- 3 3.50000+ 1 5.80000+ 1 6.27339- 7 4.35228- 3 3.60000+ 1 3.60000+ 1 4.56067- 4 4.35038- 3 3.60000+ 1 4.10000+ 1 4.89317- 5 4.29714- 3 3.60000+ 1 4.30000+ 1 2.44654- 5 4.31997- 3 3.60000+ 1 4.40000+ 1 3.76392- 6 4.33455- 3 3.60000+ 1 5.80000+ 1 3.76392- 6 4.35421- 3 4.10000+ 1 4.40000+ 1 1.25471- 6 4.28131- 3 4.30000+ 1 4.40000+ 1 1.88201- 6 4.30414- 3 4.40000+ 1 4.40000+ 1 1.25471- 6 4.31872- 3 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.24540- 5 1.82700- 4 1.90000+ 1 7.00601- 4 5.40400- 4 2.90000+ 1 4.38801- 4 1.50354- 3 3.00000+ 1 4.99511- 5 1.59594- 3 4.30000+ 1 8.40161- 5 1.81628- 3 4.40000+ 1 1.18780- 5 1.83086- 3 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.20000+ 1 5.40696- 2 3.45300- 5 1.80000+ 1 3.30000+ 1 8.52237- 2 4.82200- 5 1.80000+ 1 3.50000+ 1 2.88146- 2 1.71160- 4 1.80000+ 1 3.60000+ 1 3.07156- 2 1.73090- 4 1.80000+ 1 4.10000+ 1 8.18840- 3 1.19850- 4 1.80000+ 1 4.30000+ 1 6.68836- 3 1.42680- 4 1.80000+ 1 4.40000+ 1 7.96115- 3 1.57260- 4 1.80000+ 1 5.80000+ 1 5.98828- 4 1.76920- 4 1.90000+ 1 2.50000+ 1 1.71402- 2 0.00000+ 0 1.90000+ 1 2.70000+ 1 3.21399- 2 1.11770- 4 1.90000+ 1 2.90000+ 1 3.99716- 2 1.87640- 4 1.90000+ 1 3.00000+ 1 2.96714- 2 2.80040- 4 1.90000+ 1 3.20000+ 1 2.51661- 2 3.92230- 4 1.90000+ 1 3.30000+ 1 3.10381- 2 4.05920- 4 1.90000+ 1 3.50000+ 1 2.18906- 3 5.28860- 4 1.90000+ 1 3.60000+ 1 3.61230- 3 5.30790- 4 1.90000+ 1 4.10000+ 1 6.08419- 3 4.77550- 4 1.90000+ 1 4.30000+ 1 6.18470- 3 5.00380- 4 1.90000+ 1 4.40000+ 1 4.12807- 3 5.14960- 4 1.90000+ 1 5.80000+ 1 4.54800- 4 5.34620- 4 2.10000+ 1 2.40000+ 1 3.02322- 3 2.58370- 4 2.10000+ 1 2.50000+ 1 3.25180- 3 2.76170- 4 2.10000+ 1 2.70000+ 1 1.46407- 2 4.03670- 4 2.10000+ 1 2.90000+ 1 5.43380- 3 4.79540- 4 2.10000+ 1 3.00000+ 1 3.70365- 3 5.71940- 4 2.10000+ 1 3.20000+ 1 1.55020- 3 6.84130- 4 2.10000+ 1 3.30000+ 1 3.60427- 3 6.97820- 4 2.10000+ 1 3.50000+ 1 1.48329- 3 8.20760- 4 2.10000+ 1 3.60000+ 1 1.47374- 3 8.22690- 4 2.10000+ 1 4.10000+ 1 2.01100- 3 7.69450- 4 2.10000+ 1 4.30000+ 1 8.11078- 4 7.92280- 4 2.10000+ 1 4.40000+ 1 4.17080- 4 8.06860- 4 2.10000+ 1 5.80000+ 1 1.47196- 4 8.26520- 4 2.20000+ 1 2.40000+ 1 3.82508- 3 3.22300- 4 2.20000+ 1 2.50000+ 1 5.06083- 3 3.40100- 4 2.20000+ 1 2.70000+ 1 2.01947- 2 4.67600- 4 2.20000+ 1 2.90000+ 1 7.77086- 3 5.43470- 4 2.20000+ 1 3.00000+ 1 4.82133- 3 6.35870- 4 2.20000+ 1 3.20000+ 1 2.80809- 3 7.48060- 4 2.20000+ 1 3.30000+ 1 3.25781- 3 7.61750- 4 2.20000+ 1 3.50000+ 1 1.60446- 3 8.84690- 4 2.20000+ 1 3.60000+ 1 2.13986- 3 8.86620- 4 2.20000+ 1 4.10000+ 1 2.75223- 3 8.33380- 4 2.20000+ 1 4.30000+ 1 1.04237- 3 8.56210- 4 2.20000+ 1 4.40000+ 1 6.04357- 4 8.70790- 4 2.20000+ 1 5.80000+ 1 2.01053- 4 8.90450- 4 2.40000+ 1 2.40000+ 1 7.81865- 3 7.08440- 4 2.40000+ 1 2.50000+ 1 1.44347- 2 7.26240- 4 2.40000+ 1 2.70000+ 1 1.80939- 2 8.53740- 4 2.40000+ 1 2.90000+ 1 2.54334- 3 9.29610- 4 2.40000+ 1 3.00000+ 1 1.26617- 2 1.02201- 3 2.40000+ 1 3.20000+ 1 1.13969- 3 1.13420- 3 2.40000+ 1 3.30000+ 1 7.29321- 4 1.14789- 3 2.40000+ 1 3.50000+ 1 5.94701- 4 1.27083- 3 2.40000+ 1 3.60000+ 1 5.58148- 4 1.27276- 3 2.40000+ 1 4.10000+ 1 2.06380- 3 1.21952- 3 2.40000+ 1 4.30000+ 1 3.01931- 4 1.24235- 3 2.40000+ 1 4.40000+ 1 1.29930- 3 1.25693- 3 2.40000+ 1 5.80000+ 1 1.46845- 4 1.27659- 3 2.50000+ 1 2.50000+ 1 1.28287- 2 7.44040- 4 2.50000+ 1 2.70000+ 1 2.32809- 2 8.71540- 4 2.50000+ 1 2.90000+ 1 1.06503- 3 9.47410- 4 2.50000+ 1 3.00000+ 1 1.27108- 2 1.03981- 3 2.50000+ 1 3.20000+ 1 6.33119- 4 1.15200- 3 2.50000+ 1 3.30000+ 1 1.59452- 3 1.16569- 3 2.50000+ 1 3.50000+ 1 5.96216- 4 1.28863- 3 2.50000+ 1 3.60000+ 1 9.53318- 4 1.29056- 3 2.50000+ 1 4.10000+ 1 2.64153- 3 1.23732- 3 2.50000+ 1 4.30000+ 1 1.22801- 4 1.26015- 3 2.50000+ 1 4.40000+ 1 1.24538- 3 1.27473- 3 2.50000+ 1 5.80000+ 1 1.87863- 4 1.29439- 3 2.70000+ 1 2.70000+ 1 1.83288- 2 9.99040- 4 2.70000+ 1 2.90000+ 1 2.78250- 2 1.07491- 3 2.70000+ 1 3.00000+ 1 4.19247- 2 1.16731- 3 2.70000+ 1 3.20000+ 1 4.43545- 2 1.27950- 3 2.70000+ 1 3.30000+ 1 6.05113- 2 1.29319- 3 2.70000+ 1 3.50000+ 1 2.44027- 2 1.41613- 3 2.70000+ 1 3.60000+ 1 2.98949- 2 1.41806- 3 2.70000+ 1 4.10000+ 1 5.80687- 3 1.36482- 3 2.70000+ 1 4.30000+ 1 4.54599- 3 1.38765- 3 2.70000+ 1 4.40000+ 1 5.67998- 3 1.40223- 3 2.70000+ 1 5.80000+ 1 4.35556- 4 1.42189- 3 2.90000+ 1 2.90000+ 1 2.09137- 3 1.15078- 3 2.90000+ 1 3.00000+ 1 1.01124- 2 1.24318- 3 2.90000+ 1 3.20000+ 1 3.91815- 3 1.35537- 3 2.90000+ 1 3.30000+ 1 2.56559- 3 1.36906- 3 2.90000+ 1 3.50000+ 1 1.27137- 3 1.49200- 3 2.90000+ 1 3.60000+ 1 6.96505- 4 1.49393- 3 2.90000+ 1 4.10000+ 1 3.25685- 3 1.44069- 3 2.90000+ 1 4.30000+ 1 5.41354- 4 1.46352- 3 2.90000+ 1 4.40000+ 1 1.00866- 3 1.47810- 3 2.90000+ 1 5.80000+ 1 2.32760- 4 1.49776- 3 3.00000+ 1 3.00000+ 1 4.49138- 3 1.33558- 3 3.00000+ 1 3.20000+ 1 1.78988- 3 1.44777- 3 3.00000+ 1 3.30000+ 1 5.68000- 3 1.46146- 3 3.00000+ 1 3.50000+ 1 7.13439- 3 1.58440- 3 3.00000+ 1 3.60000+ 1 8.71303- 3 1.58633- 3 3.00000+ 1 4.10000+ 1 5.13853- 3 1.53309- 3 3.00000+ 1 4.30000+ 1 1.46719- 3 1.55592- 3 3.00000+ 1 4.40000+ 1 1.06333- 3 1.57050- 3 3.00000+ 1 5.80000+ 1 3.70317- 4 1.59016- 3 3.20000+ 1 3.20000+ 1 1.11969- 3 1.55996- 3 3.20000+ 1 3.30000+ 1 3.96751- 3 1.57365- 3 3.20000+ 1 3.50000+ 1 6.01299- 4 1.69659- 3 3.20000+ 1 3.60000+ 1 4.30248- 4 1.69852- 3 3.20000+ 1 4.10000+ 1 5.26188- 3 1.64528- 3 3.20000+ 1 4.30000+ 1 4.86684- 4 1.66811- 3 3.20000+ 1 4.40000+ 1 1.46357- 4 1.68269- 3 3.20000+ 1 5.80000+ 1 3.77352- 4 1.70235- 3 3.30000+ 1 3.30000+ 1 2.33810- 3 1.58734- 3 3.30000+ 1 3.50000+ 1 4.69049- 4 1.71028- 3 3.30000+ 1 3.60000+ 1 8.69342- 4 1.71221- 3 3.30000+ 1 4.10000+ 1 7.15748- 3 1.65897- 3 3.30000+ 1 4.30000+ 1 2.76845- 4 1.68180- 3 3.30000+ 1 4.40000+ 1 6.03066- 4 1.69638- 3 3.30000+ 1 5.80000+ 1 5.13134- 4 1.71604- 3 3.50000+ 1 3.50000+ 1 9.16981- 5 1.83322- 3 3.50000+ 1 3.60000+ 1 1.69279- 4 1.83515- 3 3.50000+ 1 4.10000+ 1 2.76146- 3 1.78191- 3 3.50000+ 1 4.30000+ 1 1.44596- 4 1.80474- 3 3.50000+ 1 4.40000+ 1 7.68837- 4 1.81932- 3 3.50000+ 1 5.80000+ 1 1.95739- 4 1.83898- 3 3.60000+ 1 3.60000+ 1 1.42832- 4 1.83708- 3 3.60000+ 1 4.10000+ 1 3.37152- 3 1.78384- 3 3.60000+ 1 4.30000+ 1 7.05334- 5 1.80667- 3 3.60000+ 1 4.40000+ 1 9.25798- 4 1.82125- 3 3.60000+ 1 5.80000+ 1 2.39823- 4 1.84091- 3 4.10000+ 1 4.10000+ 1 4.21442- 4 1.73060- 3 4.10000+ 1 4.30000+ 1 5.36057- 4 1.75343- 3 4.10000+ 1 4.40000+ 1 6.84186- 4 1.76801- 3 4.10000+ 1 5.80000+ 1 6.17166- 5 1.78767- 3 4.30000+ 1 4.30000+ 1 3.35041- 5 1.77626- 3 4.30000+ 1 4.40000+ 1 1.42832- 4 1.79084- 3 4.30000+ 1 5.80000+ 1 3.87940- 5 1.81050- 3 4.40000+ 1 4.40000+ 1 5.99554- 5 1.80542- 3 4.40000+ 1 5.80000+ 1 4.93748- 5 1.82508- 3 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.15251- 3 6.49600- 4 2.70000+ 1 2.53511- 4 1.24497- 3 3.20000+ 1 5.66033- 5 1.52543- 3 4.10000+ 1 5.20633- 5 1.61075- 3 5.80000+ 1 4.24092- 6 1.66782- 3 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 9.88660- 3 4.94000- 6 1.90000+ 1 3.00000+ 1 1.00869- 2 9.73400- 5 1.90000+ 1 3.20000+ 1 6.36712- 3 2.09530- 4 1.90000+ 1 3.30000+ 1 8.92985- 3 2.23220- 4 1.90000+ 1 3.50000+ 1 2.15281- 3 3.46160- 4 1.90000+ 1 3.60000+ 1 3.10053- 3 3.48090- 4 1.90000+ 1 4.10000+ 1 1.35122- 3 2.94850- 4 1.90000+ 1 4.30000+ 1 1.60024- 3 3.17680- 4 1.90000+ 1 4.40000+ 1 1.11277- 3 3.32260- 4 1.90000+ 1 5.80000+ 1 1.00162- 4 3.51920- 4 2.10000+ 1 2.40000+ 1 5.14707- 2 7.56700- 5 2.10000+ 1 2.50000+ 1 1.60252- 1 9.34700- 5 2.10000+ 1 2.70000+ 1 2.30999- 2 2.20970- 4 2.10000+ 1 2.90000+ 1 1.93652- 2 2.96840- 4 2.10000+ 1 3.00000+ 1 2.03925- 2 3.89240- 4 2.10000+ 1 3.20000+ 1 1.09604- 2 5.01430- 4 2.10000+ 1 3.30000+ 1 1.50412- 2 5.15120- 4 2.10000+ 1 3.50000+ 1 2.57118- 3 6.38060- 4 2.10000+ 1 3.60000+ 1 4.77343- 3 6.39990- 4 2.10000+ 1 4.10000+ 1 4.43404- 3 5.86750- 4 2.10000+ 1 4.30000+ 1 2.92831- 3 6.09580- 4 2.10000+ 1 4.40000+ 1 2.75105- 3 6.24160- 4 2.10000+ 1 5.80000+ 1 3.41750- 4 6.43820- 4 2.20000+ 1 2.40000+ 1 3.69469- 2 1.39600- 4 2.20000+ 1 2.50000+ 1 9.04825- 3 1.57400- 4 2.20000+ 1 2.70000+ 1 3.57213- 3 2.84900- 4 2.20000+ 1 2.90000+ 1 1.59297- 2 3.60770- 4 2.20000+ 1 3.00000+ 1 2.77014- 3 4.53170- 4 2.20000+ 1 3.20000+ 1 1.36467- 3 5.65360- 4 2.20000+ 1 3.30000+ 1 1.57707- 3 5.79050- 4 2.20000+ 1 3.50000+ 1 5.93271- 4 7.01990- 4 2.20000+ 1 3.60000+ 1 4.07749- 4 7.03920- 4 2.20000+ 1 4.10000+ 1 5.22547- 4 6.50680- 4 2.20000+ 1 4.30000+ 1 1.63625- 3 6.73510- 4 2.20000+ 1 4.40000+ 1 2.81144- 4 6.88090- 4 2.20000+ 1 5.80000+ 1 3.85935- 5 7.07750- 4 2.40000+ 1 2.40000+ 1 1.43302- 3 5.25740- 4 2.40000+ 1 2.50000+ 1 6.97086- 3 5.43540- 4 2.40000+ 1 2.70000+ 1 3.80394- 3 6.71040- 4 2.40000+ 1 2.90000+ 1 1.40055- 2 7.46910- 4 2.40000+ 1 3.00000+ 1 1.35352- 3 8.39310- 4 2.40000+ 1 3.20000+ 1 4.50520- 3 9.51500- 4 2.40000+ 1 3.30000+ 1 4.10976- 3 9.65190- 4 2.40000+ 1 3.50000+ 1 7.50007- 4 1.08813- 3 2.40000+ 1 3.60000+ 1 5.33825- 4 1.09006- 3 2.40000+ 1 4.10000+ 1 7.32762- 4 1.03682- 3 2.40000+ 1 4.30000+ 1 1.47399- 3 1.05965- 3 2.40000+ 1 4.40000+ 1 1.59162- 4 1.07423- 3 2.40000+ 1 5.80000+ 1 5.57109- 5 1.09389- 3 2.50000+ 1 2.50000+ 1 3.90166- 4 5.61340- 4 2.50000+ 1 2.70000+ 1 2.02685- 3 6.88840- 4 2.50000+ 1 2.90000+ 1 2.11635- 2 7.64710- 4 2.50000+ 1 3.00000+ 1 1.09444- 3 8.57110- 4 2.50000+ 1 3.20000+ 1 9.79220- 3 9.69300- 4 2.50000+ 1 3.30000+ 1 9.58219- 4 9.82990- 4 2.50000+ 1 3.50000+ 1 1.40615- 4 1.10593- 3 2.50000+ 1 3.60000+ 1 9.47504- 5 1.10786- 3 2.50000+ 1 4.10000+ 1 2.84076- 4 1.05462- 3 2.50000+ 1 4.30000+ 1 2.12154- 3 1.07745- 3 2.50000+ 1 4.40000+ 1 1.23045- 4 1.09203- 3 2.50000+ 1 5.80000+ 1 2.07596- 5 1.11169- 3 2.70000+ 1 2.70000+ 1 2.85607- 3 8.16340- 4 2.70000+ 1 2.90000+ 1 3.63595- 2 8.92210- 4 2.70000+ 1 3.00000+ 1 6.85252- 3 9.84610- 4 2.70000+ 1 3.20000+ 1 9.54295- 3 1.09680- 3 2.70000+ 1 3.30000+ 1 6.22920- 3 1.11049- 3 2.70000+ 1 3.50000+ 1 9.06286- 4 1.23343- 3 2.70000+ 1 3.60000+ 1 1.87223- 3 1.23536- 3 2.70000+ 1 4.10000+ 1 8.37813- 4 1.18212- 3 2.70000+ 1 4.30000+ 1 3.64076- 3 1.20495- 3 2.70000+ 1 4.40000+ 1 8.31142- 4 1.21953- 3 2.70000+ 1 5.80000+ 1 6.18957- 5 1.23919- 3 2.90000+ 1 2.90000+ 1 2.52926- 2 9.68080- 4 2.90000+ 1 3.00000+ 1 6.37920- 2 1.06048- 3 2.90000+ 1 3.20000+ 1 5.37259- 2 1.17267- 3 2.90000+ 1 3.30000+ 1 8.88058- 2 1.18636- 3 2.90000+ 1 3.50000+ 1 3.25961- 2 1.30930- 3 2.90000+ 1 3.60000+ 1 4.33738- 2 1.31123- 3 2.90000+ 1 4.10000+ 1 7.19724- 3 1.25799- 3 2.90000+ 1 4.30000+ 1 6.75958- 3 1.28082- 3 2.90000+ 1 4.40000+ 1 8.67850- 3 1.29540- 3 2.90000+ 1 5.80000+ 1 5.50417- 4 1.31506- 3 3.00000+ 1 3.00000+ 1 1.75518- 3 1.15288- 3 3.00000+ 1 3.20000+ 1 8.79154- 3 1.26507- 3 3.00000+ 1 3.30000+ 1 4.17560- 3 1.27876- 3 3.00000+ 1 3.50000+ 1 9.24002- 4 1.40170- 3 3.00000+ 1 3.60000+ 1 1.46113- 3 1.40363- 3 3.00000+ 1 4.10000+ 1 9.24002- 4 1.35039- 3 3.00000+ 1 4.30000+ 1 6.50782- 3 1.37322- 3 3.00000+ 1 4.40000+ 1 4.04533- 4 1.38780- 3 3.00000+ 1 5.80000+ 1 6.63167- 5 1.40746- 3 3.20000+ 1 3.20000+ 1 3.32678- 3 1.37726- 3 3.20000+ 1 3.30000+ 1 4.71502- 3 1.39095- 3 3.20000+ 1 3.50000+ 1 5.99716- 3 1.51389- 3 3.20000+ 1 3.60000+ 1 9.71100- 3 1.51582- 3 3.20000+ 1 4.10000+ 1 1.68441- 3 1.46258- 3 3.20000+ 1 4.30000+ 1 5.63905- 3 1.48541- 3 3.20000+ 1 4.40000+ 1 1.16055- 3 1.49999- 3 3.20000+ 1 5.80000+ 1 1.28207- 4 1.51965- 3 3.30000+ 1 3.30000+ 1 8.06867- 4 1.40464- 3 3.30000+ 1 3.50000+ 1 1.35946- 3 1.52758- 3 3.30000+ 1 3.60000+ 1 8.02448- 4 1.52951- 3 3.30000+ 1 4.10000+ 1 7.51594- 4 1.47627- 3 3.30000+ 1 4.30000+ 1 9.17185- 3 1.49910- 3 3.30000+ 1 4.40000+ 1 4.59800- 4 1.51368- 3 3.30000+ 1 5.80000+ 1 5.30543- 5 1.53334- 3 3.50000+ 1 3.50000+ 1 2.01153- 4 1.65052- 3 3.50000+ 1 3.60000+ 1 3.07250- 4 1.65245- 3 3.50000+ 1 4.10000+ 1 1.59163- 4 1.59921- 3 3.50000+ 1 4.30000+ 1 3.20971- 3 1.62204- 3 3.50000+ 1 4.40000+ 1 1.03892- 4 1.63662- 3 3.50000+ 1 5.80000+ 1 1.10520- 5 1.65628- 3 3.60000+ 1 3.60000+ 1 7.51561- 5 1.65438- 3 3.60000+ 1 4.10000+ 1 2.54209- 4 1.60114- 3 3.60000+ 1 4.30000+ 1 4.29056- 3 1.62397- 3 3.60000+ 1 4.40000+ 1 1.52516- 4 1.63855- 3 3.60000+ 1 5.80000+ 1 1.76849- 5 1.65821- 3 4.10000+ 1 4.10000+ 1 6.18954- 5 1.54790- 3 4.10000+ 1 4.30000+ 1 7.27265- 4 1.57073- 3 4.10000+ 1 4.40000+ 1 1.10522- 4 1.58531- 3 4.10000+ 1 5.80000+ 1 8.84191- 6 1.60497- 3 4.30000+ 1 4.30000+ 1 4.19997- 4 1.59356- 3 4.30000+ 1 4.40000+ 1 8.88647- 4 1.60814- 3 4.30000+ 1 5.80000+ 1 5.52628- 5 1.62780- 3 4.40000+ 1 4.40000+ 1 2.21054- 5 1.62272- 3 4.40000+ 1 5.80000+ 1 8.84177- 6 1.64238- 3 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.07900- 5 2.91900- 4 2.20000+ 1 1.84541- 4 3.55830- 4 2.70000+ 1 3.47521- 4 8.87270- 4 3.20000+ 1 4.20951- 5 1.16773- 3 3.30000+ 1 2.41551- 4 1.18142- 3 4.10000+ 1 6.78202- 5 1.25305- 3 5.80000+ 1 5.49642- 6 1.31012- 3 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.00000+ 1 4.64026- 2 3.15400- 5 2.10000+ 1 3.20000+ 1 1.80351- 2 1.43730- 4 2.10000+ 1 3.30000+ 1 2.63876- 2 1.57420- 4 2.10000+ 1 3.50000+ 1 4.61146- 3 2.80360- 4 2.10000+ 1 3.60000+ 1 4.18538- 3 2.82290- 4 2.10000+ 1 4.10000+ 1 3.83800- 3 2.29050- 4 2.10000+ 1 4.30000+ 1 2.77775- 3 2.51880- 4 2.10000+ 1 4.40000+ 1 5.34441- 3 2.66460- 4 2.10000+ 1 5.80000+ 1 2.88084- 4 2.86120- 4 2.20000+ 1 2.90000+ 1 1.29248- 1 3.07000- 6 2.20000+ 1 3.00000+ 1 1.25098- 1 9.54700- 5 2.20000+ 1 3.20000+ 1 1.14017- 1 2.07660- 4 2.20000+ 1 3.30000+ 1 1.35658- 1 2.21350- 4 2.20000+ 1 3.50000+ 1 1.36058- 2 3.44290- 4 2.20000+ 1 3.60000+ 1 1.65837- 2 3.46220- 4 2.20000+ 1 4.10000+ 1 2.18685- 2 2.92980- 4 2.20000+ 1 4.30000+ 1 1.94746- 2 3.15810- 4 2.20000+ 1 4.40000+ 1 1.58357- 2 3.30390- 4 2.20000+ 1 5.80000+ 1 1.63317- 3 3.50050- 4 2.40000+ 1 2.40000+ 1 1.07366- 3 1.68040- 4 2.40000+ 1 2.50000+ 1 1.87485- 3 1.85840- 4 2.40000+ 1 2.70000+ 1 1.03207- 2 3.13340- 4 2.40000+ 1 2.90000+ 1 4.99765- 3 3.89210- 4 2.40000+ 1 3.00000+ 1 5.14144- 2 4.81610- 4 2.40000+ 1 3.20000+ 1 2.11824- 3 5.93800- 4 2.40000+ 1 3.30000+ 1 7.29576- 3 6.07490- 4 2.40000+ 1 3.50000+ 1 1.04697- 3 7.30430- 4 2.40000+ 1 3.60000+ 1 1.06636- 3 7.32360- 4 2.40000+ 1 4.10000+ 1 1.17626- 3 6.79120- 4 2.40000+ 1 4.30000+ 1 6.71879- 4 7.01950- 4 2.40000+ 1 4.40000+ 1 4.64466- 3 7.16530- 4 2.40000+ 1 5.80000+ 1 8.38868- 5 7.36190- 4 2.50000+ 1 2.50000+ 1 3.15977- 3 2.03640- 4 2.50000+ 1 2.70000+ 1 2.43960- 2 3.31140- 4 2.50000+ 1 2.90000+ 1 1.81043- 2 4.07010- 4 2.50000+ 1 3.00000+ 1 6.23244- 2 4.99410- 4 2.50000+ 1 3.20000+ 1 1.55184- 3 6.11600- 4 2.50000+ 1 3.30000+ 1 1.06455- 2 6.25290- 4 2.50000+ 1 3.50000+ 1 4.39852- 3 7.48230- 4 2.50000+ 1 3.60000+ 1 5.23919- 3 7.50160- 4 2.50000+ 1 4.10000+ 1 3.40436- 3 6.96920- 4 2.50000+ 1 4.30000+ 1 2.57440- 3 7.19750- 4 2.50000+ 1 4.40000+ 1 5.68206- 3 7.34330- 4 2.50000+ 1 5.80000+ 1 2.50120- 4 7.53990- 4 2.70000+ 1 2.70000+ 1 9.74834- 5 4.58640- 4 2.70000+ 1 2.90000+ 1 3.06820- 4 5.34510- 4 2.70000+ 1 3.00000+ 1 4.92455- 3 6.26910- 4 2.70000+ 1 3.20000+ 1 4.50736- 4 7.39100- 4 2.70000+ 1 3.30000+ 1 7.34204- 4 7.52790- 4 2.70000+ 1 3.50000+ 1 3.07070- 4 8.75730- 4 2.70000+ 1 3.60000+ 1 3.17600- 4 8.77660- 4 2.70000+ 1 4.10000+ 1 3.48898- 5 8.24420- 4 2.70000+ 1 4.30000+ 1 3.33499- 5 8.47250- 4 2.70000+ 1 4.40000+ 1 4.25857- 4 8.61830- 4 2.70000+ 1 5.80000+ 1 2.56542- 6 8.81490- 4 2.90000+ 1 2.90000+ 1 1.38536- 5 6.10380- 4 2.90000+ 1 3.00000+ 1 5.73411- 3 7.02780- 4 2.90000+ 1 3.20000+ 1 2.65511- 4 8.14970- 4 2.90000+ 1 3.30000+ 1 6.91877- 4 8.28660- 4 2.90000+ 1 3.50000+ 1 2.42942- 4 9.51600- 4 2.90000+ 1 3.60000+ 1 5.73101- 4 9.53530- 4 2.90000+ 1 4.10000+ 1 5.10513- 5 9.00290- 4 2.90000+ 1 4.30000+ 1 1.00047- 5 9.23120- 4 2.90000+ 1 4.40000+ 1 5.09223- 4 9.37700- 4 2.90000+ 1 5.80000+ 1 3.84808- 6 9.57360- 4 3.00000+ 1 3.00000+ 1 7.08427- 3 7.95180- 4 3.00000+ 1 3.20000+ 1 8.78228- 3 9.07370- 4 3.00000+ 1 3.30000+ 1 1.15876- 2 9.21060- 4 3.00000+ 1 3.50000+ 1 4.98835- 3 1.04400- 3 3.00000+ 1 3.60000+ 1 5.88852- 3 1.04593- 3 3.00000+ 1 4.10000+ 1 9.78985- 4 9.92690- 4 3.00000+ 1 4.30000+ 1 9.05577- 4 1.01552- 3 3.00000+ 1 4.40000+ 1 1.59466- 3 1.03010- 3 3.00000+ 1 5.80000+ 1 7.49084- 5 1.04976- 3 3.20000+ 1 3.20000+ 1 1.71118- 4 1.01956- 3 3.20000+ 1 3.30000+ 1 1.02849- 3 1.03325- 3 3.20000+ 1 3.50000+ 1 1.10568- 4 1.15619- 3 3.20000+ 1 3.60000+ 1 2.32937- 4 1.15812- 3 3.20000+ 1 4.10000+ 1 6.02871- 5 1.10488- 3 3.20000+ 1 4.30000+ 1 4.38685- 5 1.12771- 3 3.20000+ 1 4.40000+ 1 7.87583- 4 1.14229- 3 3.20000+ 1 5.80000+ 1 4.36115- 6 1.16195- 3 3.30000+ 1 3.30000+ 1 9.75868- 4 1.04694- 3 3.30000+ 1 3.50000+ 1 3.79926- 4 1.16988- 3 3.30000+ 1 3.60000+ 1 5.12561- 4 1.17181- 3 3.30000+ 1 4.10000+ 1 1.40325- 4 1.11857- 3 3.30000+ 1 4.30000+ 1 1.17495- 4 1.14140- 3 3.30000+ 1 4.40000+ 1 1.05156- 3 1.15598- 3 3.30000+ 1 5.80000+ 1 1.07745- 5 1.17564- 3 3.50000+ 1 3.50000+ 1 1.35968- 5 1.29282- 3 3.50000+ 1 3.60000+ 1 6.82394- 5 1.29475- 3 3.50000+ 1 4.10000+ 1 3.79682- 5 1.24151- 3 3.50000+ 1 4.30000+ 1 1.18007- 5 1.26434- 3 3.50000+ 1 4.40000+ 1 4.30991- 4 1.27892- 3 3.50000+ 1 5.80000+ 1 2.56545- 6 1.29858- 3 3.60000+ 1 3.60000+ 1 4.30990- 5 1.29668- 3 3.60000+ 1 4.10000+ 1 4.05330- 5 1.24344- 3 3.60000+ 1 4.30000+ 1 2.95012- 5 1.26627- 3 3.60000+ 1 4.40000+ 1 5.06157- 4 1.28085- 3 3.60000+ 1 5.80000+ 1 2.82203- 6 1.30051- 3 4.10000+ 1 4.10000+ 1 7.69605- 7 1.19020- 3 4.10000+ 1 4.30000+ 1 3.59160- 6 1.21303- 3 4.10000+ 1 4.40000+ 1 8.49141- 5 1.22761- 3 4.30000+ 1 4.30000+ 1 2.56543- 7 1.23586- 3 4.30000+ 1 4.40000+ 1 8.02972- 5 1.25044- 3 4.30000+ 1 5.80000+ 1 2.56543- 7 1.27010- 3 4.40000+ 1 4.40000+ 1 8.49138- 5 1.26502- 3 4.40000+ 1 5.80000+ 1 6.41351- 6 1.28468- 3 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.88133- 4 4.50070- 4 2.90000+ 1 2.31281- 4 6.71240- 4 3.00000+ 1 2.37491- 5 7.63640- 4 3.50000+ 1 1.77691- 4 1.01246- 3 4.30000+ 1 3.75162- 5 9.83980- 4 4.40000+ 1 3.37742- 6 9.98560- 4 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.50000+ 1 4.94823- 3 5.23900- 5 2.20000+ 1 3.60000+ 1 6.20151- 3 5.43200- 5 2.20000+ 1 4.10000+ 1 2.74726- 3 1.08000- 6 2.20000+ 1 4.30000+ 1 1.20198- 3 2.39100- 5 2.20000+ 1 4.40000+ 1 2.48717- 3 3.84900- 5 2.20000+ 1 5.80000+ 1 1.52938- 4 5.81500- 5 2.40000+ 1 2.70000+ 1 1.20555- 1 2.14400- 5 2.40000+ 1 2.90000+ 1 1.11245- 1 9.73100- 5 2.40000+ 1 3.00000+ 1 1.20485- 1 1.89710- 4 2.40000+ 1 3.20000+ 1 1.24965- 1 3.01900- 4 2.40000+ 1 3.30000+ 1 1.29274- 1 3.15590- 4 2.40000+ 1 3.50000+ 1 9.61808- 3 4.38530- 4 2.40000+ 1 3.60000+ 1 8.14839- 3 4.40460- 4 2.40000+ 1 4.10000+ 1 2.36042- 2 3.87220- 4 2.40000+ 1 4.30000+ 1 1.78363- 2 4.10050- 4 2.40000+ 1 4.40000+ 1 1.59633- 2 4.24630- 4 2.40000+ 1 5.80000+ 1 1.82802- 3 4.44290- 4 2.50000+ 1 2.70000+ 1 8.05820- 3 3.92400- 5 2.50000+ 1 2.90000+ 1 1.81599- 2 1.15110- 4 2.50000+ 1 3.00000+ 1 7.91611- 3 2.07510- 4 2.50000+ 1 3.20000+ 1 1.31611- 1 3.19700- 4 2.50000+ 1 3.30000+ 1 5.44286- 3 3.33390- 4 2.50000+ 1 3.50000+ 1 2.22466- 3 4.56330- 4 2.50000+ 1 3.60000+ 1 8.39908- 4 4.58260- 4 2.50000+ 1 4.10000+ 1 1.14373- 3 4.05020- 4 2.50000+ 1 4.30000+ 1 1.78259- 3 4.27850- 4 2.50000+ 1 4.40000+ 1 7.76991- 4 4.42430- 4 2.50000+ 1 5.80000+ 1 8.48278- 5 4.62090- 4 2.70000+ 1 2.70000+ 1 8.59854- 4 1.66740- 4 2.70000+ 1 2.90000+ 1 2.17173- 3 2.42610- 4 2.70000+ 1 3.00000+ 1 1.43975- 3 3.35010- 4 2.70000+ 1 3.20000+ 1 1.17146- 2 4.47200- 4 2.70000+ 1 3.30000+ 1 1.51016- 3 4.60890- 4 2.70000+ 1 3.50000+ 1 2.33183- 3 5.83830- 4 2.70000+ 1 3.60000+ 1 1.94434- 3 5.85760- 4 2.70000+ 1 4.10000+ 1 1.96744- 4 5.32520- 4 2.70000+ 1 4.30000+ 1 2.23023- 4 5.55350- 4 2.70000+ 1 4.40000+ 1 1.55725- 4 5.69930- 4 2.70000+ 1 5.80000+ 1 1.43375- 5 5.89590- 4 2.90000+ 1 2.90000+ 1 6.15351- 4 3.18480- 4 2.90000+ 1 3.00000+ 1 1.84970- 3 4.10880- 4 2.90000+ 1 3.20000+ 1 8.76062- 3 5.23070- 4 2.90000+ 1 3.30000+ 1 8.85371- 4 5.36760- 4 2.90000+ 1 3.50000+ 1 3.02691- 4 6.59700- 4 2.90000+ 1 3.60000+ 1 2.85161- 4 6.61630- 4 2.90000+ 1 4.10000+ 1 1.72850- 4 6.08390- 4 2.90000+ 1 4.30000+ 1 1.33030- 4 6.31220- 4 2.90000+ 1 4.40000+ 1 1.48150- 4 6.45800- 4 2.90000+ 1 5.80000+ 1 1.31430- 5 6.65460- 4 3.00000+ 1 3.00000+ 1 5.97403- 4 5.03280- 4 3.00000+ 1 3.20000+ 1 1.74838- 2 6.15470- 4 3.00000+ 1 3.30000+ 1 1.45798- 3 6.29160- 4 3.00000+ 1 3.50000+ 1 8.37570- 4 7.52100- 4 3.00000+ 1 3.60000+ 1 4.87495- 4 7.54030- 4 3.00000+ 1 4.10000+ 1 6.81042- 5 7.00790- 4 3.00000+ 1 4.30000+ 1 1.28638- 4 7.23620- 4 3.00000+ 1 4.40000+ 1 1.02348- 4 7.38200- 4 3.00000+ 1 5.80000+ 1 4.77935- 6 7.57860- 4 3.20000+ 1 3.20000+ 1 1.15955- 2 7.27660- 4 3.20000+ 1 3.30000+ 1 2.23901- 2 7.41350- 4 3.20000+ 1 3.50000+ 1 8.64155- 3 8.64290- 4 3.20000+ 1 3.60000+ 1 1.16325- 2 8.66220- 4 3.20000+ 1 4.10000+ 1 1.86672- 3 8.12980- 4 3.20000+ 1 4.30000+ 1 1.41864- 3 8.35810- 4 3.20000+ 1 4.40000+ 1 2.26451- 3 8.50390- 4 3.20000+ 1 5.80000+ 1 1.41784- 4 8.70050- 4 3.30000+ 1 3.30000+ 1 3.72765- 4 7.55040- 4 3.30000+ 1 3.50000+ 1 9.60996- 4 8.77980- 4 3.30000+ 1 3.60000+ 1 3.30556- 4 8.79910- 4 3.30000+ 1 4.10000+ 1 7.12892- 5 8.26670- 4 3.30000+ 1 4.30000+ 1 7.48729- 5 8.49500- 4 3.30000+ 1 4.40000+ 1 1.24655- 4 8.64080- 4 3.30000+ 1 5.80000+ 1 5.57567- 6 8.83740- 4 3.50000+ 1 3.50000+ 1 1.65683- 4 1.00092- 3 3.50000+ 1 3.60000+ 1 2.68030- 4 1.00285- 3 3.50000+ 1 4.10000+ 1 1.21875- 4 9.49610- 4 3.50000+ 1 4.30000+ 1 4.81892- 5 9.72440- 4 3.50000+ 1 4.40000+ 1 8.68207- 5 9.87020- 4 3.50000+ 1 5.80000+ 1 7.96520- 6 1.00668- 3 3.60000+ 1 3.60000+ 1 3.54464- 5 1.00478- 3 3.60000+ 1 4.10000+ 1 8.08497- 5 9.51540- 4 3.60000+ 1 4.30000+ 1 4.14193- 5 9.74370- 4 3.60000+ 1 4.40000+ 1 4.42083- 5 9.88950- 4 3.60000+ 1 5.80000+ 1 5.17751- 6 1.00861- 3 4.10000+ 1 4.10000+ 1 5.17751- 6 8.98300- 4 4.10000+ 1 4.30000+ 1 1.03548- 5 9.21130- 4 4.10000+ 1 4.40000+ 1 6.37230- 6 9.35710- 4 4.10000+ 1 5.80000+ 1 7.96538- 7 9.55370- 4 4.30000+ 1 4.30000+ 1 2.38943- 6 9.43960- 4 4.30000+ 1 4.40000+ 1 9.95614- 6 9.58540- 4 4.30000+ 1 5.80000+ 1 7.96495- 7 9.78200- 4 4.40000+ 1 4.40000+ 1 4.38096- 6 9.73120- 4 4.40000+ 1 5.80000+ 1 3.98267- 7 9.92780- 4 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.58140- 5 3.86140- 4 2.50000+ 1 3.72770- 4 4.03940- 4 3.00000+ 1 1.71600- 4 6.99710- 4 3.50000+ 1 1.12330- 5 9.48530- 4 3.60000+ 1 1.86130- 4 9.50460- 4 4.40000+ 1 2.43260- 5 9.34630- 4 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.90000+ 1 8.68173- 3 3.33800- 5 2.40000+ 1 3.00000+ 1 1.64918- 2 1.25780- 4 2.40000+ 1 3.20000+ 1 8.36482- 3 2.37970- 4 2.40000+ 1 3.30000+ 1 1.12699- 1 2.51660- 4 2.40000+ 1 3.50000+ 1 1.73756- 3 3.74600- 4 2.40000+ 1 3.60000+ 1 1.56079- 3 3.76530- 4 2.40000+ 1 4.10000+ 1 2.20490- 3 3.23290- 4 2.40000+ 1 4.30000+ 1 1.47832- 3 3.46120- 4 2.40000+ 1 4.40000+ 1 1.80618- 3 3.60700- 4 2.40000+ 1 5.80000+ 1 1.64948- 4 3.80360- 4 2.50000+ 1 2.90000+ 1 1.43193- 1 5.11800- 5 2.50000+ 1 3.00000+ 1 1.22212- 1 1.43580- 4 2.50000+ 1 3.20000+ 1 1.25095- 1 2.55770- 4 2.50000+ 1 3.30000+ 1 2.18988- 1 2.69460- 4 2.50000+ 1 3.50000+ 1 9.48654- 3 3.92400- 4 2.50000+ 1 3.60000+ 1 1.51692- 2 3.94330- 4 2.50000+ 1 4.10000+ 1 2.59588- 2 3.41090- 4 2.50000+ 1 4.30000+ 1 2.22502- 2 3.63920- 4 2.50000+ 1 4.40000+ 1 1.63462- 2 3.78500- 4 2.50000+ 1 5.80000+ 1 1.97997- 3 3.98160- 4 2.70000+ 1 2.70000+ 1 1.69327- 3 1.02810- 4 2.70000+ 1 2.90000+ 1 2.51053- 3 1.78680- 4 2.70000+ 1 3.00000+ 1 3.19254- 3 2.71080- 4 2.70000+ 1 3.20000+ 1 2.69558- 3 3.83270- 4 2.70000+ 1 3.30000+ 1 1.42654- 2 3.96960- 4 2.70000+ 1 3.50000+ 1 2.41198- 3 5.19900- 4 2.70000+ 1 3.60000+ 1 3.69369- 3 5.21830- 4 2.70000+ 1 4.10000+ 1 3.76251- 4 4.68590- 4 2.70000+ 1 4.30000+ 1 2.79781- 4 4.91420- 4 2.70000+ 1 4.40000+ 1 3.40341- 4 5.06000- 4 2.70000+ 1 5.80000+ 1 2.75612- 5 5.25660- 4 2.90000+ 1 2.90000+ 1 3.72907- 4 2.54550- 4 2.90000+ 1 3.00000+ 1 3.60439- 3 3.46950- 4 2.90000+ 1 3.20000+ 1 6.20136- 4 4.59140- 4 2.90000+ 1 3.30000+ 1 1.36582- 2 4.72830- 4 2.90000+ 1 3.50000+ 1 3.42443- 4 5.95770- 4 2.90000+ 1 3.60000+ 1 6.72746- 4 5.97700- 4 2.90000+ 1 4.10000+ 1 1.69959- 4 5.44460- 4 2.90000+ 1 4.30000+ 1 8.39384- 5 5.67290- 4 2.90000+ 1 4.40000+ 1 2.73115- 4 5.81870- 4 2.90000+ 1 5.80000+ 1 1.21101- 5 6.01530- 4 3.00000+ 1 3.00000+ 1 1.16092- 3 4.39350- 4 3.00000+ 1 3.20000+ 1 2.43246- 3 5.51540- 4 3.00000+ 1 3.30000+ 1 1.74447- 2 5.65230- 4 3.00000+ 1 3.50000+ 1 6.93219- 4 6.88170- 4 3.00000+ 1 3.60000+ 1 8.87805- 4 6.90100- 4 3.00000+ 1 4.10000+ 1 9.64655- 5 6.36860- 4 3.00000+ 1 4.30000+ 1 1.40731- 4 6.59690- 4 3.00000+ 1 4.40000+ 1 2.00861- 4 6.74270- 4 3.00000+ 1 5.80000+ 1 5.84639- 6 6.93930- 4 3.20000+ 1 3.20000+ 1 1.44073- 4 6.63730- 4 3.20000+ 1 3.30000+ 1 1.77011- 2 6.77420- 4 3.20000+ 1 3.50000+ 1 2.43876- 4 8.00360- 4 3.20000+ 1 3.60000+ 1 9.12868- 4 8.02290- 4 3.20000+ 1 4.10000+ 1 7.18260- 5 7.49050- 4 3.20000+ 1 4.30000+ 1 5.05297- 5 7.71880- 4 3.20000+ 1 4.40000+ 1 2.19665- 4 7.86460- 4 3.20000+ 1 5.80000+ 1 5.01118- 6 8.06120- 4 3.30000+ 1 3.30000+ 1 1.95127- 2 6.91110- 4 3.30000+ 1 3.50000+ 1 1.03894- 2 8.14050- 4 3.30000+ 1 3.60000+ 1 1.21929- 2 8.15980- 4 3.30000+ 1 4.10000+ 1 2.03496- 3 7.62740- 4 3.30000+ 1 4.30000+ 1 1.92095- 3 7.85570- 4 3.30000+ 1 4.40000+ 1 2.29851- 3 8.00150- 4 3.30000+ 1 5.80000+ 1 1.54518- 4 8.19810- 4 3.50000+ 1 3.50000+ 1 3.96720- 5 9.36990- 4 3.50000+ 1 3.60000+ 1 2.73943- 4 9.38920- 4 3.50000+ 1 4.10000+ 1 1.01061- 4 8.85680- 4 3.50000+ 1 4.30000+ 1 3.42444- 5 9.08510- 4 3.50000+ 1 4.40000+ 1 5.63746- 5 9.23090- 4 3.50000+ 1 5.80000+ 1 6.26403- 6 9.42750- 4 3.60000+ 1 3.60000+ 1 2.38031- 4 9.40850- 4 3.60000+ 1 4.10000+ 1 1.69550- 4 8.87610- 4 3.60000+ 1 4.30000+ 1 5.51227- 5 9.10440- 4 3.60000+ 1 4.40000+ 1 8.72771- 5 9.25020- 4 3.60000+ 1 5.80000+ 1 1.08581- 5 9.44680- 4 4.10000+ 1 4.10000+ 1 1.08582- 5 8.34370- 4 4.10000+ 1 4.30000+ 1 1.41981- 5 8.57200- 4 4.10000+ 1 4.40000+ 1 1.08582- 5 8.71780- 4 4.10000+ 1 5.80000+ 1 1.67038- 6 8.91440- 4 4.30000+ 1 4.30000+ 1 2.50538- 6 8.80030- 4 4.30000+ 1 4.40000+ 1 1.25274- 5 8.94610- 4 4.30000+ 1 5.80000+ 1 8.35152- 7 9.14270- 4 4.40000+ 1 4.40000+ 1 9.60480- 6 9.09190- 4 4.40000+ 1 5.80000+ 1 8.35190- 7 9.28850- 4 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.83860- 4 4.25760- 4 3.30000+ 1 1.12380- 5 4.39450- 4 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 3.50000+ 1 3.07562- 1 6.26000- 6 2.50000+ 1 3.60000+ 1 1.76224- 2 8.19000- 6 2.50000+ 1 5.80000+ 1 2.85242- 4 1.20200- 5 2.70000+ 1 3.30000+ 1 2.54528- 3 1.08200- 5 2.70000+ 1 3.50000+ 1 4.85407- 2 1.33760- 4 2.70000+ 1 3.60000+ 1 1.00467- 2 1.35690- 4 2.70000+ 1 4.10000+ 1 5.38327- 4 8.24500- 5 2.70000+ 1 4.30000+ 1 6.67328- 4 1.05280- 4 2.70000+ 1 4.40000+ 1 1.65480- 3 1.19860- 4 2.70000+ 1 5.80000+ 1 3.47307- 5 1.39520- 4 2.90000+ 1 3.20000+ 1 2.70404- 2 7.30000- 5 2.90000+ 1 3.30000+ 1 5.65123- 2 8.66900- 5 2.90000+ 1 3.50000+ 1 4.81420- 2 2.09630- 4 2.90000+ 1 3.60000+ 1 1.14020- 2 2.11560- 4 2.90000+ 1 4.10000+ 1 5.30642- 3 1.58320- 4 2.90000+ 1 4.30000+ 1 2.92986- 3 1.81150- 4 2.90000+ 1 4.40000+ 1 4.21726- 3 1.95730- 4 2.90000+ 1 5.80000+ 1 3.69640- 4 2.15390- 4 3.00000+ 1 3.00000+ 1 5.74309- 3 5.32100- 5 3.00000+ 1 3.20000+ 1 3.63259- 2 1.65400- 4 3.00000+ 1 3.30000+ 1 2.55601- 2 1.79090- 4 3.00000+ 1 3.50000+ 1 7.08418- 2 3.02030- 4 3.00000+ 1 3.60000+ 1 4.08826- 3 3.03960- 4 3.00000+ 1 4.10000+ 1 1.77383- 3 2.50720- 4 3.00000+ 1 4.30000+ 1 1.14612- 3 2.73550- 4 3.00000+ 1 4.40000+ 1 7.61604- 4 2.88130- 4 3.00000+ 1 5.80000+ 1 1.09159- 4 3.07790- 4 3.20000+ 1 3.20000+ 1 3.93692- 3 2.77590- 4 3.20000+ 1 3.30000+ 1 9.89353- 3 2.91280- 4 3.20000+ 1 3.50000+ 1 6.27604- 2 4.14220- 4 3.20000+ 1 3.60000+ 1 7.10977- 3 4.16150- 4 3.20000+ 1 4.10000+ 1 5.58158- 4 3.62910- 4 3.20000+ 1 4.30000+ 1 2.60233- 3 3.85740- 4 3.20000+ 1 4.40000+ 1 1.78118- 3 4.00320- 4 3.20000+ 1 5.80000+ 1 4.46539- 5 4.19980- 4 3.30000+ 1 3.30000+ 1 2.58736- 3 3.04970- 4 3.30000+ 1 3.50000+ 1 9.28517- 2 4.27910- 4 3.30000+ 1 3.60000+ 1 2.47082- 3 4.29840- 4 3.30000+ 1 4.10000+ 1 6.32575- 4 3.76600- 4 3.30000+ 1 4.30000+ 1 1.82826- 3 3.99430- 4 3.30000+ 1 4.40000+ 1 1.01458- 3 4.14010- 4 3.30000+ 1 5.80000+ 1 4.46528- 5 4.33670- 4 3.50000+ 1 3.50000+ 1 3.38468- 2 5.50850- 4 3.50000+ 1 3.60000+ 1 5.71805- 2 5.52780- 4 3.50000+ 1 4.10000+ 1 7.87866- 3 4.99540- 4 3.50000+ 1 4.30000+ 1 6.91867- 3 5.22370- 4 3.50000+ 1 4.40000+ 1 9.01989- 3 5.36950- 4 3.50000+ 1 5.80000+ 1 5.95369- 4 5.56610- 4 3.60000+ 1 3.60000+ 1 5.80494- 4 5.54710- 4 3.60000+ 1 4.10000+ 1 2.43103- 4 5.01470- 4 3.60000+ 1 4.30000+ 1 8.11202- 4 5.24300- 4 3.60000+ 1 4.40000+ 1 2.92735- 4 5.38880- 4 3.60000+ 1 5.80000+ 1 1.73646- 5 5.58540- 4 4.10000+ 1 4.10000+ 1 2.23271- 5 4.48230- 4 4.10000+ 1 4.30000+ 1 1.98470- 4 4.71060- 4 4.10000+ 1 4.40000+ 1 1.21552- 4 4.85640- 4 4.10000+ 1 5.80000+ 1 2.48082- 6 5.05300- 4 4.30000+ 1 4.30000+ 1 6.69801- 5 4.93890- 4 4.30000+ 1 4.40000+ 1 8.43450- 5 5.08470- 4 4.30000+ 1 5.80000+ 1 1.48848- 5 5.28130- 4 4.40000+ 1 4.40000+ 1 1.73647- 5 5.23050- 4 4.40000+ 1 5.80000+ 1 7.44224- 6 5.42710- 4 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 2.49730- 4 4.21650- 4 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 3.50000+ 1 1.15705- 2 1.15960- 4 2.70000+ 1 3.60000+ 1 7.03851- 2 1.17890- 4 2.70000+ 1 4.10000+ 1 7.70164- 4 6.46500- 5 2.70000+ 1 4.30000+ 1 2.05839- 3 8.74800- 5 2.70000+ 1 4.40000+ 1 1.50537- 3 1.02060- 4 2.70000+ 1 5.80000+ 1 4.55089- 5 1.21720- 4 2.90000+ 1 3.20000+ 1 3.23472- 3 5.52000- 5 2.90000+ 1 3.30000+ 1 6.74575- 3 6.88900- 5 2.90000+ 1 3.50000+ 1 7.98150- 4 1.91830- 4 2.90000+ 1 3.60000+ 1 6.12153- 2 1.93760- 4 2.90000+ 1 4.10000+ 1 1.99538- 3 1.40520- 4 2.90000+ 1 4.30000+ 1 4.48087- 4 1.63350- 4 2.90000+ 1 4.40000+ 1 5.25100- 4 1.77930- 4 2.90000+ 1 5.80000+ 1 1.22515- 4 1.97590- 4 3.00000+ 1 3.00000+ 1 3.24837- 2 3.54100- 5 3.00000+ 1 3.20000+ 1 8.13494- 2 1.47600- 4 3.00000+ 1 3.30000+ 1 1.56989- 1 1.61290- 4 3.00000+ 1 3.50000+ 1 1.67239- 2 2.84230- 4 3.00000+ 1 3.60000+ 1 1.11206- 1 2.86160- 4 3.00000+ 1 4.10000+ 1 5.06207- 3 2.32920- 4 3.00000+ 1 4.30000+ 1 1.73640- 3 2.55750- 4 3.00000+ 1 4.40000+ 1 3.63720- 3 2.70330- 4 3.00000+ 1 5.80000+ 1 3.32569- 4 2.89990- 4 3.20000+ 1 3.20000+ 1 1.30212- 3 2.59790- 4 3.20000+ 1 3.30000+ 1 1.47102- 2 2.73480- 4 3.20000+ 1 3.50000+ 1 2.18082- 3 3.96420- 4 3.20000+ 1 3.60000+ 1 9.39178- 2 3.98350- 4 3.20000+ 1 4.10000+ 1 7.56126- 4 3.45110- 4 3.20000+ 1 4.30000+ 1 7.31617- 4 3.67940- 4 3.20000+ 1 4.40000+ 1 2.06532- 3 3.82520- 4 3.20000+ 1 5.80000+ 1 5.60095- 5 4.02180- 4 3.30000+ 1 3.30000+ 1 8.93029- 3 2.87170- 4 3.30000+ 1 3.50000+ 1 9.51492- 3 4.10110- 4 3.30000+ 1 3.60000+ 1 1.24206- 1 4.12040- 4 3.30000+ 1 4.10000+ 1 9.62682- 4 3.58800- 4 3.30000+ 1 4.30000+ 1 1.17275- 3 3.81630- 4 3.30000+ 1 4.40000+ 1 4.31978- 3 3.96210- 4 3.30000+ 1 5.80000+ 1 7.35143- 5 4.15870- 4 3.50000+ 1 3.50000+ 1 5.77614- 4 5.33050- 4 3.50000+ 1 3.60000+ 1 6.42236- 2 5.34980- 4 3.50000+ 1 4.10000+ 1 3.29063- 4 4.81740- 4 3.50000+ 1 4.30000+ 1 7.70161- 5 5.04570- 4 3.50000+ 1 4.40000+ 1 1.10975- 3 5.19150- 4 3.50000+ 1 5.80000+ 1 2.10039- 5 5.38810- 4 3.60000+ 1 3.60000+ 1 6.27435- 2 5.36910- 4 3.60000+ 1 4.10000+ 1 1.09855- 2 4.83670- 4 3.60000+ 1 4.30000+ 1 9.21728- 3 5.06500- 4 3.60000+ 1 4.40000+ 1 1.32046- 2 5.21080- 4 3.60000+ 1 5.80000+ 1 8.26163- 4 5.40740- 4 4.10000+ 1 4.10000+ 1 3.15071- 5 4.30430- 4 4.10000+ 1 4.30000+ 1 1.33025- 4 4.53260- 4 4.10000+ 1 4.40000+ 1 2.48558- 4 4.67840- 4 4.10000+ 1 5.80000+ 1 3.50072- 6 4.87500- 4 4.30000+ 1 4.30000+ 1 1.40026- 5 4.76090- 4 4.30000+ 1 4.40000+ 1 7.00139- 5 4.90670- 4 4.30000+ 1 5.80000+ 1 1.05025- 5 5.10330- 4 4.40000+ 1 4.40000+ 1 6.65131- 5 5.05250- 4 4.40000+ 1 5.80000+ 1 1.75029- 5 5.24910- 4 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.17570- 6 7.58700- 5 3.00000+ 1 2.63670- 5 1.68270- 4 4.30000+ 1 3.38430- 6 3.88610- 4 4.40000+ 1 7.20910- 8 4.03190- 4 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.50000+ 1 5.88003- 2 6.43300- 5 2.90000+ 1 3.60000+ 1 1.02696- 1 6.62600- 5 2.90000+ 1 4.10000+ 1 1.94303- 2 1.30200- 5 2.90000+ 1 4.30000+ 1 1.35576- 2 3.58500- 5 2.90000+ 1 4.40000+ 1 2.21952- 2 5.04300- 5 2.90000+ 1 5.80000+ 1 1.44016- 3 7.00900- 5 3.00000+ 1 3.20000+ 1 1.35258- 1 2.01000- 5 3.00000+ 1 3.30000+ 1 1.20608- 1 3.37900- 5 3.00000+ 1 3.50000+ 1 1.40698- 1 1.56730- 4 3.00000+ 1 3.60000+ 1 1.27398- 1 1.58660- 4 3.00000+ 1 4.10000+ 1 1.52957- 2 1.05420- 4 3.00000+ 1 4.30000+ 1 1.55247- 2 1.28250- 4 3.00000+ 1 4.40000+ 1 1.19158- 2 1.42830- 4 3.00000+ 1 5.80000+ 1 1.13128- 3 1.62490- 4 3.20000+ 1 3.20000+ 1 1.42402- 3 1.32290- 4 3.20000+ 1 3.30000+ 1 1.05071- 1 1.45980- 4 3.20000+ 1 3.50000+ 1 3.96637- 3 2.68920- 4 3.20000+ 1 3.60000+ 1 1.44162- 2 2.70850- 4 3.20000+ 1 4.10000+ 1 5.23097- 3 2.17610- 4 3.20000+ 1 4.30000+ 1 1.12241- 3 2.40440- 4 3.20000+ 1 4.40000+ 1 3.66717- 3 2.55020- 4 3.20000+ 1 5.80000+ 1 3.22268- 4 2.74680- 4 3.30000+ 1 3.30000+ 1 2.43105- 2 1.59670- 4 3.30000+ 1 3.50000+ 1 1.65458- 2 2.82610- 4 3.30000+ 1 3.60000+ 1 1.08988- 2 2.84540- 4 3.30000+ 1 4.10000+ 1 7.32111- 3 2.31300- 4 3.30000+ 1 4.30000+ 1 3.18941- 3 2.54130- 4 3.30000+ 1 4.40000+ 1 2.36215- 3 2.68710- 4 3.30000+ 1 5.80000+ 1 4.49207- 4 2.88370- 4 3.50000+ 1 3.50000+ 1 6.77423- 5 4.05550- 4 3.50000+ 1 3.60000+ 1 2.19246- 3 4.07480- 4 3.50000+ 1 4.10000+ 1 2.93383- 3 3.54240- 4 3.50000+ 1 4.30000+ 1 2.71923- 4 3.77070- 4 3.50000+ 1 4.40000+ 1 6.83953- 4 3.91650- 4 3.50000+ 1 5.80000+ 1 1.67188- 4 4.11310- 4 3.60000+ 1 3.60000+ 1 4.11752- 4 4.09410- 4 3.60000+ 1 4.10000+ 1 3.63696- 3 3.56170- 4 3.60000+ 1 4.30000+ 1 6.26665- 4 3.79000- 4 3.60000+ 1 4.40000+ 1 4.31882- 4 3.93580- 4 3.60000+ 1 5.80000+ 1 2.07143- 4 4.13240- 4 4.10000+ 1 4.10000+ 1 4.23759- 4 3.02930- 4 4.10000+ 1 4.30000+ 1 4.98228- 4 3.25760- 4 4.10000+ 1 4.40000+ 1 6.63926- 4 3.40340- 4 4.10000+ 1 5.80000+ 1 5.59857- 5 3.60000- 4 4.30000+ 1 4.30000+ 1 4.46675- 5 3.48590- 4 4.30000+ 1 4.40000+ 1 2.44674- 4 3.63170- 4 4.30000+ 1 5.80000+ 1 2.76882- 5 3.82830- 4 4.40000+ 1 4.40000+ 1 9.27324- 5 3.77750- 4 4.40000+ 1 5.80000+ 1 3.90076- 5 3.97410- 4 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.12700- 4 2.04590- 4 4.10000+ 1 1.20269- 5 2.89910- 4 5.80000+ 1 1.00210- 6 3.46980- 4 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.50000+ 1 3.01243- 2 8.08600- 5 3.00000+ 1 3.60000+ 1 1.74382- 2 8.27900- 5 3.00000+ 1 4.10000+ 1 1.34102- 2 2.95500- 5 3.00000+ 1 4.30000+ 1 9.23721- 3 5.23800- 5 3.00000+ 1 4.40000+ 1 7.27078- 3 6.69600- 5 3.00000+ 1 5.80000+ 1 7.39008- 4 8.66200- 5 3.20000+ 1 3.20000+ 1 7.23509- 2 5.64200- 5 3.20000+ 1 3.30000+ 1 2.91603- 1 7.01100- 5 3.20000+ 1 3.50000+ 1 9.66082- 2 1.93050- 4 3.20000+ 1 3.60000+ 1 2.15173- 1 1.94980- 4 3.20000+ 1 4.10000+ 1 3.25443- 2 1.41740- 4 3.20000+ 1 4.30000+ 1 2.15823- 2 1.64570- 4 3.20000+ 1 4.40000+ 1 2.94863- 2 1.79150- 4 3.20000+ 1 5.80000+ 1 2.52793- 3 1.98810- 4 3.30000+ 1 3.30000+ 1 1.15121- 2 8.38000- 5 3.30000+ 1 3.50000+ 1 5.31424- 2 2.06740- 4 3.30000+ 1 3.60000+ 1 1.20571- 2 2.08670- 4 3.30000+ 1 4.10000+ 1 3.34552- 3 1.55430- 4 3.30000+ 1 4.30000+ 1 1.55822- 2 1.78260- 4 3.30000+ 1 4.40000+ 1 3.01872- 3 1.92840- 4 3.30000+ 1 5.80000+ 1 2.14632- 4 2.12500- 4 3.50000+ 1 3.50000+ 1 3.89659- 3 3.29680- 4 3.50000+ 1 3.60000+ 1 2.46339- 2 3.31610- 4 3.50000+ 1 4.10000+ 1 3.39508- 3 2.78370- 4 3.50000+ 1 4.30000+ 1 6.73818- 3 3.01200- 4 3.50000+ 1 4.40000+ 1 3.06138- 3 3.15780- 4 3.50000+ 1 5.80000+ 1 2.57649- 4 3.35440- 4 3.60000+ 1 3.60000+ 1 1.29082- 3 3.33540- 4 3.60000+ 1 4.10000+ 1 1.28552- 3 2.80300- 4 3.60000+ 1 4.30000+ 1 1.04401- 2 3.03130- 4 3.60000+ 1 4.40000+ 1 1.03931- 3 3.17710- 4 3.60000+ 1 5.80000+ 1 8.11521- 5 3.37370- 4 4.10000+ 1 4.10000+ 1 1.00219- 4 2.27060- 4 4.10000+ 1 4.30000+ 1 1.49479- 3 2.49890- 4 4.10000+ 1 4.40000+ 1 2.50327- 4 2.64470- 4 4.10000+ 1 5.80000+ 1 1.28599- 5 2.84130- 4 4.30000+ 1 4.30000+ 1 8.92413- 4 2.72720- 4 4.30000+ 1 4.40000+ 1 1.82311- 3 2.87300- 4 4.30000+ 1 5.80000+ 1 1.18170- 4 3.06960- 4 4.40000+ 1 4.40000+ 1 7.84915- 5 3.01880- 4 4.40000+ 1 5.80000+ 1 1.50771- 5 3.21540- 4 1 99000 0 7 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.30200- 6 1.12190- 4 3.30000+ 1 1.68261- 5 1.25880- 4 4.10000+ 1 8.26643- 6 1.97510- 4 5.80000+ 1 6.69372- 7 2.54580- 4 1 99000 0 9 2.52000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.50000+ 1 2.83043- 2 1.00650- 4 3.20000+ 1 3.60000+ 1 1.06471- 1 1.02580- 4 3.20000+ 1 4.10000+ 1 7.22801- 3 4.93400- 5 3.20000+ 1 4.30000+ 1 5.06495- 3 7.21700- 5 3.20000+ 1 4.40000+ 1 1.27341- 2 8.67500- 5 3.20000+ 1 5.80000+ 1 4.47834- 4 1.06410- 4 3.30000+ 1 3.50000+ 1 3.61338- 1 1.14340- 4 3.30000+ 1 3.60000+ 1 3.17510- 1 1.16270- 4 3.30000+ 1 4.10000+ 1 3.48938- 2 6.30300- 5 3.30000+ 1 4.30000+ 1 3.56788- 2 8.58600- 5 3.30000+ 1 4.40000+ 1 3.37989- 2 1.00440- 4 3.30000+ 1 5.80000+ 1 2.64289- 3 1.20100- 4 3.50000+ 1 3.50000+ 1 6.92408- 4 2.37280- 4 3.50000+ 1 3.60000+ 1 1.60339- 2 2.39210- 4 3.50000+ 1 4.10000+ 1 2.71247- 3 1.85970- 4 3.50000+ 1 4.30000+ 1 8.06105- 4 2.08800- 4 3.50000+ 1 4.40000+ 1 6.20891- 3 2.23380- 4 3.50000+ 1 5.80000+ 1 9.33214- 5 2.43040- 4 3.60000+ 1 3.60000+ 1 6.25546- 3 2.41140- 4 3.60000+ 1 4.10000+ 1 5.04001- 3 1.87900- 4 3.60000+ 1 4.30000+ 1 3.87733- 3 2.10730- 4 3.60000+ 1 4.40000+ 1 7.44550- 3 2.25310- 4 3.60000+ 1 5.80000+ 1 2.43765- 4 2.44970- 4 4.10000+ 1 4.10000+ 1 2.88883- 4 1.34660- 4 4.10000+ 1 4.30000+ 1 3.98954- 4 1.57490- 4 4.10000+ 1 4.40000+ 1 1.34952- 3 1.72070- 4 4.10000+ 1 5.80000+ 1 3.56543- 5 1.91730- 4 4.30000+ 1 4.30000+ 1 5.13189- 6 1.80320- 4 4.30000+ 1 4.40000+ 1 1.18200- 3 1.94900- 4 4.30000+ 1 5.80000+ 1 1.60710- 5 2.14560- 4 4.40000+ 1 4.40000+ 1 1.08344- 3 2.09480- 4 4.40000+ 1 5.80000+ 1 9.11617- 5 2.29140- 4 1 100000 0 0 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91912 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.00000+ 0 3.00000+ 0 2.00000+ 0 5.00000+ 0 2.00000+ 0 6.00000+ 0 4.00000+ 0 8.00000+ 0 2.00000+ 0 1.00000+ 1 2.00000+ 0 1.10000+ 1 4.00000+ 0 1.30000+ 1 4.00000+ 0 1.40000+ 1 6.00000+ 0 1.60000+ 1 2.00000+ 0 1.80000+ 1 2.00000+ 0 1.90000+ 1 4.00000+ 0 2.10000+ 1 4.00000+ 0 2.20000+ 1 6.00000+ 0 2.40000+ 1 6.00000+ 0 2.50000+ 1 8.00000+ 0 2.70000+ 1 2.00000+ 0 2.90000+ 1 2.00000+ 0 3.00000+ 1 4.00000+ 0 3.20000+ 1 4.00000+ 0 3.30000+ 1 6.00000+ 0 3.50000+ 1 5.14000+ 0 3.60000+ 1 6.86000+ 0 4.10000+ 1 2.00000+ 0 4.30000+ 1 2.00000+ 0 4.40000+ 1 4.00000+ 0 5.80000+ 1 2.00000+ 0 1 100000 0 0 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 91913 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.42680- 1 3.00000+ 0 2.76220- 2 5.00000+ 0 2.67920- 2 6.00000+ 0 2.08940- 2 8.00000+ 0 7.17970- 3 1.00000+ 1 6.78400- 3 1.10000+ 1 5.39260- 3 1.30000+ 1 4.76080- 3 1.40000+ 1 4.49270- 3 1.60000+ 1 1.92580- 3 1.80000+ 1 1.73900- 3 1.90000+ 1 1.35960- 3 2.10000+ 1 1.06180- 3 2.20000+ 1 9.94360- 4 2.40000+ 1 6.00520- 4 2.50000+ 1 5.81620- 4 2.70000+ 1 4.46110- 4 2.90000+ 1 3.68060- 4 3.00000+ 1 2.69170- 4 3.20000+ 1 1.53890- 4 3.30000+ 1 1.39290- 4 3.50000+ 1 1.22900- 5 3.60000+ 1 1.01800- 5 4.10000+ 1 6.48500- 5 4.30000+ 1 4.12700- 5 4.40000+ 1 2.57700- 5 5.80000+ 1 5.85000- 6 1 100000 0 0 2.57000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91914 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 2.29420- 1 3.00000+ 0 5.90590- 2 5.00000+ 0 5.93360- 2 6.00000+ 0 3.34480- 2 8.00000+ 0 1.88470- 2 1.00000+ 1 1.87410- 2 1.10000+ 1 1.21110- 2 1.30000+ 1 1.19260- 2 1.40000+ 1 1.08210- 2 1.60000+ 1 6.62750- 3 1.80000+ 1 6.45860- 3 1.90000+ 1 4.39370- 3 2.10000+ 1 4.12820- 3 2.20000+ 1 3.78450- 3 2.40000+ 1 3.41230- 3 2.50000+ 1 3.29400- 3 2.70000+ 1 2.20720- 3 2.90000+ 1 2.06000- 3 3.00000+ 1 1.41230- 3 3.20000+ 1 1.16570- 3 3.30000+ 1 1.06190- 3 3.50000+ 1 5.83520- 4 3.60000+ 1 5.49050- 4 4.10000+ 1 5.18870- 4 4.30000+ 1 4.13710- 4 4.40000+ 1 2.47720- 4 5.80000+ 1 4.74200- 5 1 100000 0 0 2.57000+ 2 880712 2 0.00000+ 0 1.00000+50 0.00000+ 0 91915 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 6.34460-11 3.00000+ 0 2.61160-10 5.00000+ 0 2.08290-10 6.00000+ 0 2.68500-10 8.00000+ 0 6.82340-10 1.00000+ 1 6.36780-10 1.10000+ 1 7.44130-10 1.30000+ 1 6.37930-10 1.40000+ 1 6.68830-10 1.60000+ 1 1.47010- 9 1.80000+ 1 1.45160- 9 1.90000+ 1 1.65510- 9 2.10000+ 1 1.61920- 9 2.20000+ 1 1.67670- 9 2.40000+ 1 1.58130- 9 2.50000+ 1 1.60870- 9 2.70000+ 1 2.98150- 9 2.90000+ 1 3.06490- 9 3.00000+ 1 3.49280- 9 3.20000+ 1 3.80680- 9 3.30000+ 1 3.95040- 9 3.50000+ 1 5.51050- 9 3.60000+ 1 5.69580- 9 4.10000+ 1 6.55310- 9 4.30000+ 1 7.27140- 9 4.40000+ 1 8.72720- 9 5.80000+ 1 2.02350- 8 1 100000 0 0 2.57000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91921 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.27750- 4 3.00000+ 0 3.78630- 6 5.00000+ 0 6.53130- 6 6.00000+ 0 5.30280- 6 8.00000+ 0 1.88320- 7 1.00000+ 1 1.97470- 7 1.10000+ 1 2.24810- 7 1.30000+ 1 3.16410- 7 1.40000+ 1 2.86940- 7 1.60000+ 1 1.26550- 8 1.80000+ 1 1.51710- 8 1.90000+ 1 9.91770- 9 2.10000+ 1 6.88740- 9 2.20000+ 1 5.27770- 9 2.40000+ 1 2.77320-10 2.50000+ 1 2.44070-10 2.70000+ 1 1.00520- 9 2.90000+ 1 1.78870- 9 3.00000+ 1 6.94590-10 1 100000 0 0 2.57000+ 2 910605 2 0.00000+ 0 1.00000+50 0.00000+ 0 91922 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 3.68590- 6 3.00000+ 0 1.32310- 5 5.00000+ 0 5.38610- 6 6.00000+ 0 4.84840- 6 8.00000+ 0 2.04460- 5 1.00000+ 1 1.60100- 5 1.10000+ 1 1.20770- 5 1.30000+ 1 4.31410- 6 1.40000+ 1 4.17130- 6 1.60000+ 1 1.54340- 5 1.80000+ 1 1.67720- 5 1.90000+ 1 1.08400- 5 2.10000+ 1 6.89650- 6 2.20000+ 1 6.58020- 6 2.40000+ 1 1.27730- 6 2.50000+ 1 8.44810- 7 2.70000+ 1 3.21260- 5 2.90000+ 1 1.25450- 5 3.00000+ 1 2.26030- 5 1 100000 0 0 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92935 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 7.23615- 4 3.00000+ 0 1.01984- 3 5.00000+ 0 7.57569- 4 6.00000+ 0 7.16174- 4 8.00000+ 0 8.07823- 4 1.00000+ 1 7.27585- 4 1.10000+ 1 6.26582- 4 1.30000+ 1 4.88433- 4 1.40000+ 1 4.69712- 4 1.60000+ 1 4.26675- 4 1.80000+ 1 3.94047- 4 1.90000+ 1 4.20166- 4 2.10000+ 1 3.38562- 4 2.20000+ 1 3.19325- 4 2.40000+ 1 1.91269- 4 2.50000+ 1 1.83565- 4 2.70000+ 1 2.25089- 4 2.90000+ 1 2.05332- 4 3.00000+ 1 1.50390- 4 3.20000+ 1 1.53890- 4 3.30000+ 1 1.39290- 4 3.50000+ 1 1.22900- 5 3.60000+ 1 1.01800- 5 4.10000+ 1 6.48500- 5 4.30000+ 1 4.12700- 5 4.40000+ 1 2.57700- 5 5.80000+ 1 5.85000- 6 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.50715+ 0 3.00000+ 0 6.80462- 1 5.00000+ 0 7.37510- 1 6.00000+ 0 6.03114- 1 8.00000+ 0 7.36405- 2 1.00000+ 1 7.80818- 2 1.10000+ 1 6.91422- 2 1.30000+ 1 7.61816- 2 1.40000+ 1 6.57880- 2 1.60000+ 1 2.43528- 3 1.80000+ 1 2.28349- 3 1.90000+ 1 1.84325- 3 2.10000+ 1 1.35892- 3 2.20000+ 1 1.11341- 3 2.40000+ 1 3.61358- 4 2.50000+ 1 3.19752- 4 2.70000+ 1 8.10134- 5 2.90000+ 1 1.45023- 4 3.00000+ 1 3.07282- 5 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.29295- 1 3.00000+ 0 1.12462- 2 5.00000+ 0 1.46168- 2 6.00000+ 0 9.20291- 3 8.00000+ 0 2.98038- 4 1.00000+ 1 3.20962- 4 1.10000+ 1 2.74009- 4 1.30000+ 1 3.10228- 4 1.40000+ 1 2.54310- 4 1.60000+ 1 2.13036- 6 1.80000+ 1 1.70855- 6 1.90000+ 1 1.36487- 6 2.10000+ 1 8.17212- 7 2.20000+ 1 6.52429- 7 2.40000+ 1 1.50999- 7 2.50000+ 1 1.33621- 7 2.70000+ 1 1.61288- 8 2.90000+ 1 3.22756- 8 3.00000+ 1 4.78140- 9 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92933 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 8.46629+ 0 3.00000+ 0 1.23464+ 1 5.00000+ 0 8.90957+ 0 6.00000+ 0 8.35900+ 0 8.00000+ 0 9.72636+ 0 1.00000+ 1 8.62766+ 0 1.10000+ 1 7.35749+ 0 1.30000+ 1 5.49297+ 0 1.40000+ 1 5.17075+ 0 1.60000+ 1 4.22098+ 0 1.80000+ 1 3.76287+ 0 1.90000+ 1 4.09080+ 0 2.10000+ 1 3.28498+ 0 2.20000+ 1 2.87936+ 0 2.40000+ 1 1.99618+ 0 2.50000+ 1 1.65494+ 0 2.70000+ 1 1.80399+ 0 2.90000+ 1 1.08002+ 0 3.00000+ 1 9.99969- 1 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92934 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 0 1.26618- 2 3.00000+ 0 1.53559- 2 5.00000+ 0 1.14176- 2 6.00000+ 0 1.09749- 2 8.00000+ 0 6.07384- 3 1.00000+ 1 5.73545- 3 1.10000+ 1 4.49201- 3 1.30000+ 1 3.96214- 3 1.40000+ 1 3.76868- 3 1.60000+ 1 1.49700- 3 1.80000+ 1 1.34324- 3 1.90000+ 1 9.38069- 4 2.10000+ 1 7.22420- 4 2.20000+ 1 6.74383- 4 2.40000+ 1 4.09100- 4 2.50000+ 1 3.97922- 4 2.70000+ 1 2.21005- 4 2.90000+ 1 1.62695- 4 3.00000+ 1 1.18775- 4 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.97058- 1 1.15888- 1 6.00000+ 0 4.54157- 1 1.21786- 1 1.00000+ 1 5.33827- 2 1.35896- 1 1.10000+ 1 1.06009- 1 1.37287- 1 1.30000+ 1 2.23099- 3 1.37919- 1 1.40000+ 1 2.40819- 3 1.38187- 1 1.80000+ 1 1.36759- 2 1.40941- 1 1.90000+ 1 2.86788- 2 1.41320- 1 2.10000+ 1 6.99076- 4 1.41618- 1 2.20000+ 1 7.60166- 4 1.41686- 1 2.90000+ 1 3.54388- 3 1.42312- 1 3.00000+ 1 7.36636- 3 1.42411- 1 3.20000+ 1 1.60799- 4 1.42526- 1 3.30000+ 1 1.72719- 4 1.42541- 1 4.30000+ 1 5.96927- 4 1.42639- 1 4.40000+ 1 1.05819- 3 1.42654- 1 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 0 3.00000+ 0 3.45653- 3 8.74360- 2 3.00000+ 0 5.00000+ 0 7.02466- 3 8.82660- 2 3.00000+ 0 6.00000+ 0 1.97022- 3 9.41640- 2 3.00000+ 0 8.00000+ 0 1.45411- 3 1.07878- 1 3.00000+ 0 1.00000+ 1 1.54741- 3 1.08274- 1 3.00000+ 0 1.10000+ 1 5.04165- 4 1.09665- 1 3.00000+ 0 1.30000+ 1 4.42785- 5 1.10297- 1 3.00000+ 0 1.40000+ 1 2.45302- 5 1.10565- 1 3.00000+ 0 1.60000+ 1 3.97274- 4 1.13132- 1 3.00000+ 0 1.80000+ 1 4.17015- 4 1.13319- 1 3.00000+ 0 1.90000+ 1 1.39111- 4 1.13698- 1 3.00000+ 0 2.10000+ 1 1.40141- 5 1.13996- 1 3.00000+ 0 2.20000+ 1 7.63867- 6 1.14064- 1 3.00000+ 0 2.40000+ 1 4.14015- 8 1.14457- 1 3.00000+ 0 2.50000+ 1 4.14015- 8 1.14476- 1 3.00000+ 0 2.70000+ 1 1.09460- 4 1.14612- 1 3.00000+ 0 2.90000+ 1 1.09460- 4 1.14690- 1 3.00000+ 0 3.00000+ 1 3.59983- 5 1.14789- 1 3.00000+ 0 3.20000+ 1 3.22942- 6 1.14904- 1 3.00000+ 0 3.30000+ 1 1.71811- 6 1.14919- 1 5.00000+ 0 5.00000+ 0 1.88303- 4 8.90960- 2 5.00000+ 0 6.00000+ 0 3.00019- 3 9.49940- 2 5.00000+ 0 8.00000+ 0 1.32425- 3 1.08708- 1 5.00000+ 0 1.00000+ 1 7.49315- 5 1.09104- 1 5.00000+ 0 1.10000+ 1 6.61967- 4 1.10495- 1 5.00000+ 0 1.30000+ 1 4.50836- 5 1.11127- 1 5.00000+ 0 1.40000+ 1 8.97719- 5 1.11395- 1 5.00000+ 0 1.60000+ 1 3.52867- 4 1.13962- 1 5.00000+ 0 1.80000+ 1 1.99133- 5 1.14149- 1 5.00000+ 0 1.90000+ 1 1.75744- 4 1.14528- 1 5.00000+ 0 2.10000+ 1 1.35375- 5 1.14826- 1 5.00000+ 0 2.20000+ 1 2.72820- 5 1.14894- 1 5.00000+ 0 2.40000+ 1 4.34686- 7 1.15287- 1 5.00000+ 0 2.50000+ 1 6.20979- 7 1.15306- 1 5.00000+ 0 2.70000+ 1 9.65407- 5 1.15442- 1 5.00000+ 0 2.90000+ 1 5.21632- 6 1.15520- 1 5.00000+ 0 3.00000+ 1 4.49996- 5 1.15619- 1 5.00000+ 0 3.20000+ 1 3.08429- 6 1.15734- 1 5.00000+ 0 3.30000+ 1 6.12710- 6 1.15749- 1 6.00000+ 0 6.00000+ 0 1.15588- 3 1.00892- 1 6.00000+ 0 8.00000+ 0 3.25935- 4 1.14606- 1 6.00000+ 0 1.00000+ 1 5.46214- 4 1.15002- 1 6.00000+ 0 1.10000+ 1 5.23864- 4 1.16393- 1 6.00000+ 0 1.30000+ 1 9.36688- 5 1.17025- 1 6.00000+ 0 1.40000+ 1 7.16021- 5 1.17293- 1 6.00000+ 0 1.60000+ 1 8.41219- 5 1.19860- 1 6.00000+ 0 1.80000+ 1 1.40528- 4 1.20047- 1 6.00000+ 0 1.90000+ 1 1.40158- 4 1.20426- 1 6.00000+ 0 2.10000+ 1 2.86056- 5 1.20724- 1 6.00000+ 0 2.20000+ 1 2.19007- 5 1.20792- 1 6.00000+ 0 2.40000+ 1 5.58883- 7 1.21185- 1 6.00000+ 0 2.50000+ 1 6.00303- 7 1.21204- 1 6.00000+ 0 2.70000+ 1 2.28107- 5 1.21340- 1 6.00000+ 0 2.90000+ 1 3.64315- 5 1.21418- 1 6.00000+ 0 3.00000+ 1 3.59555- 5 1.21517- 1 6.00000+ 0 3.20000+ 1 6.52062- 6 1.21632- 1 6.00000+ 0 3.30000+ 1 4.92654- 6 1.21647- 1 8.00000+ 0 8.00000+ 0 1.51486- 4 1.28321- 1 8.00000+ 0 1.00000+ 1 2.92813- 4 1.28716- 1 8.00000+ 0 1.10000+ 1 8.39972- 5 1.30108- 1 8.00000+ 0 1.30000+ 1 7.12055- 6 1.30740- 1 8.00000+ 0 1.40000+ 1 3.72582- 6 1.31008- 1 8.00000+ 0 1.60000+ 1 8.26512- 5 1.33574- 1 8.00000+ 0 1.80000+ 1 7.89703- 5 1.33761- 1 8.00000+ 0 1.90000+ 1 2.32455- 5 1.34141- 1 8.00000+ 0 2.10000+ 1 2.25625- 6 1.34439- 1 8.00000+ 0 2.20000+ 1 1.15917- 6 1.34506- 1 8.00000+ 0 2.70000+ 1 2.27695- 5 1.35054- 1 8.00000+ 0 2.90000+ 1 2.07405- 5 1.35132- 1 8.00000+ 0 3.00000+ 1 6.02368- 6 1.35231- 1 8.00000+ 0 3.20000+ 1 5.17489- 7 1.35346- 1 8.00000+ 0 3.30000+ 1 2.69094- 7 1.35361- 1 1.00000+ 1 1.00000+ 1 6.66527- 6 1.29112- 1 1.00000+ 1 1.10000+ 1 1.24907- 4 1.30503- 1 1.00000+ 1 1.30000+ 1 7.96935- 6 1.31135- 1 1.00000+ 1 1.40000+ 1 1.19647- 5 1.31403- 1 1.00000+ 1 1.60000+ 1 7.79975- 5 1.33970- 1 1.00000+ 1 1.80000+ 1 3.45693- 6 1.34157- 1 1.00000+ 1 1.90000+ 1 3.34283- 5 1.34536- 1 1.00000+ 1 2.10000+ 1 2.42185- 6 1.34834- 1 1.00000+ 1 2.20000+ 1 3.70512- 6 1.34902- 1 1.00000+ 1 2.40000+ 1 6.20989- 8 1.35295- 1 1.00000+ 1 2.50000+ 1 6.20989- 8 1.35314- 1 1.00000+ 1 2.70000+ 1 2.13416- 5 1.35450- 1 1.00000+ 1 2.90000+ 1 8.90112- 7 1.35528- 1 1.00000+ 1 3.00000+ 1 8.56943- 6 1.35627- 1 1.00000+ 1 3.20000+ 1 5.58879- 7 1.35742- 1 1.00000+ 1 3.30000+ 1 8.27973- 7 1.35757- 1 1.10000+ 1 1.10000+ 1 6.01541- 5 1.31895- 1 1.10000+ 1 1.30000+ 1 1.75950- 5 1.32527- 1 1.10000+ 1 1.40000+ 1 1.28340- 5 1.32795- 1 1.10000+ 1 1.60000+ 1 2.17140- 5 1.35362- 1 1.10000+ 1 1.80000+ 1 3.23970- 5 1.35548- 1 1.10000+ 1 1.90000+ 1 3.22940- 5 1.35928- 1 1.10000+ 1 2.10000+ 1 5.42351- 6 1.36226- 1 1.10000+ 1 2.20000+ 1 3.97441- 6 1.36293- 1 1.10000+ 1 2.40000+ 1 8.27990- 8 1.36687- 1 1.10000+ 1 2.50000+ 1 8.27990- 8 1.36706- 1 1.10000+ 1 2.70000+ 1 5.89961- 6 1.36841- 1 1.10000+ 1 2.90000+ 1 8.42520- 6 1.36919- 1 1.10000+ 1 3.00000+ 1 8.30040- 6 1.37018- 1 1.10000+ 1 3.20000+ 1 1.24200- 6 1.37134- 1 1.10000+ 1 3.30000+ 1 8.90130- 7 1.37148- 1 1.30000+ 1 1.30000+ 1 6.21001- 8 1.33158- 1 1.30000+ 1 1.40000+ 1 1.71810- 6 1.33427- 1 1.30000+ 1 1.60000+ 1 1.84240- 6 1.35993- 1 1.30000+ 1 1.80000+ 1 2.04940- 6 1.36180- 1 1.30000+ 1 1.90000+ 1 4.49201- 6 1.36560- 1 1.30000+ 1 2.10000+ 1 4.14011- 8 1.36857- 1 1.30000+ 1 2.20000+ 1 4.96810- 7 1.36925- 1 1.30000+ 1 2.50000+ 1 2.07000- 8 1.37338- 1 1.30000+ 1 2.70000+ 1 4.96810- 7 1.37473- 1 1.30000+ 1 2.90000+ 1 5.38201- 7 1.37551- 1 1.30000+ 1 3.00000+ 1 1.13850- 6 1.37650- 1 1.30000+ 1 3.30000+ 1 1.03500- 7 1.37780- 1 1.40000+ 1 1.40000+ 1 4.34694- 7 1.33695- 1 1.40000+ 1 1.60000+ 1 9.52196- 7 1.36261- 1 1.40000+ 1 1.80000+ 1 2.85665- 6 1.36448- 1 1.40000+ 1 1.90000+ 1 3.24975- 6 1.36828- 1 1.40000+ 1 2.10000+ 1 4.96803- 7 1.37126- 1 1.40000+ 1 2.20000+ 1 2.48396- 7 1.37193- 1 1.40000+ 1 2.70000+ 1 2.48396- 7 1.37741- 1 1.40000+ 1 2.90000+ 1 7.24489- 7 1.37819- 1 1.40000+ 1 3.00000+ 1 8.27977- 7 1.37918- 1 1.40000+ 1 3.20000+ 1 1.03498- 7 1.38033- 1 1.40000+ 1 3.30000+ 1 6.20991- 8 1.38048- 1 1.60000+ 1 1.60000+ 1 1.12609- 5 1.38828- 1 1.60000+ 1 1.80000+ 1 2.10308- 5 1.39015- 1 1.60000+ 1 1.90000+ 1 6.00306- 6 1.39395- 1 1.60000+ 1 2.10000+ 1 5.79606- 7 1.39692- 1 1.60000+ 1 2.20000+ 1 2.89787- 7 1.39760- 1 1.60000+ 1 2.70000+ 1 6.20995- 6 1.40308- 1 1.60000+ 1 2.90000+ 1 5.52686- 6 1.40386- 1 1.60000+ 1 3.00000+ 1 1.55248- 6 1.40485- 1 1.60000+ 1 3.20000+ 1 1.24198- 7 1.40600- 1 1.60000+ 1 3.30000+ 1 6.20995- 8 1.40615- 1 1.80000+ 1 1.80000+ 1 4.55406- 7 1.39202- 1 1.80000+ 1 1.90000+ 1 8.69392- 6 1.39581- 1 1.80000+ 1 2.10000+ 1 6.21009- 7 1.39879- 1 1.80000+ 1 2.20000+ 1 8.90142- 7 1.39947- 1 1.80000+ 1 2.40000+ 1 2.07003- 8 1.40340- 1 1.80000+ 1 2.50000+ 1 2.07003- 8 1.40359- 1 1.80000+ 1 2.70000+ 1 5.75468- 6 1.40495- 1 1.80000+ 1 2.90000+ 1 2.27703- 7 1.40573- 1 1.80000+ 1 3.00000+ 1 2.23573- 6 1.40672- 1 1.80000+ 1 3.20000+ 1 1.44902- 7 1.40787- 1 1.80000+ 1 3.30000+ 1 2.07003- 7 1.40802- 1 1.90000+ 1 1.90000+ 1 4.34695- 6 1.39961- 1 1.90000+ 1 2.10000+ 1 1.38688- 6 1.40259- 1 1.90000+ 1 2.20000+ 1 1.01428- 6 1.40326- 1 1.90000+ 1 2.40000+ 1 2.06997- 8 1.40720- 1 1.90000+ 1 2.50000+ 1 2.06997- 8 1.40739- 1 1.90000+ 1 2.70000+ 1 1.63528- 6 1.40874- 1 1.90000+ 1 2.90000+ 1 2.25627- 6 1.40952- 1 1.90000+ 1 3.00000+ 1 2.23567- 6 1.41051- 1 1.90000+ 1 3.20000+ 1 3.10505- 7 1.41167- 1 1.90000+ 1 3.30000+ 1 2.27697- 7 1.41181- 1 2.10000+ 1 2.20000+ 1 1.44897- 7 1.40624- 1 2.10000+ 1 2.70000+ 1 1.65597- 7 1.41172- 1 2.10000+ 1 2.90000+ 1 1.65597- 7 1.41250- 1 2.10000+ 1 3.00000+ 1 3.51894- 7 1.41349- 1 2.10000+ 1 3.30000+ 1 4.14004- 8 1.41479- 1 2.20000+ 1 2.20000+ 1 4.14002- 8 1.40691- 1 2.20000+ 1 2.70000+ 1 8.27971- 8 1.41240- 1 2.20000+ 1 2.90000+ 1 2.27695- 7 1.41318- 1 2.20000+ 1 3.00000+ 1 2.48395- 7 1.41416- 1 2.20000+ 1 3.20000+ 1 4.14002- 8 1.41532- 1 2.20000+ 1 3.30000+ 1 2.06995- 8 1.41546- 1 2.70000+ 1 2.70000+ 1 8.48679- 7 1.41788- 1 2.70000+ 1 2.90000+ 1 1.51109- 6 1.41866- 1 2.70000+ 1 3.00000+ 1 4.14010- 7 1.41965- 1 2.70000+ 1 3.20000+ 1 4.14010- 8 1.42080- 1 2.70000+ 1 3.30000+ 1 2.07000- 8 1.42095- 1 2.90000+ 1 2.90000+ 1 2.06995- 8 1.41944- 1 2.90000+ 1 3.00000+ 1 5.79597- 7 1.42043- 1 2.90000+ 1 3.20000+ 1 4.14001- 8 1.42158- 1 2.90000+ 1 3.30000+ 1 4.14001- 8 1.42173- 1 3.00000+ 1 3.00000+ 1 2.89789- 7 1.42142- 1 3.00000+ 1 3.20000+ 1 8.27988- 8 1.42257- 1 3.00000+ 1 3.30000+ 1 6.21000- 8 1.42272- 1 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 1.34831- 5 8.30000- 4 6.00000+ 0 1.97461- 2 6.72800- 3 1.00000+ 1 8.09943- 2 2.08380- 2 1.10000+ 1 5.46932- 2 2.22294- 2 1.30000+ 1 4.47512- 3 2.28612- 2 1.40000+ 1 6.62563- 3 2.31293- 2 1.80000+ 1 2.24611- 2 2.58830- 2 1.90000+ 1 1.83421- 2 2.62624- 2 2.10000+ 1 8.23874- 4 2.65602- 2 2.20000+ 1 1.32821- 3 2.66276- 2 2.90000+ 1 5.91813- 3 2.72539- 2 3.00000+ 1 4.92772- 3 2.73528- 2 3.20000+ 1 1.65971- 4 2.74681- 2 3.30000+ 1 2.70181- 4 2.74827- 2 4.30000+ 1 1.00100- 3 2.75807- 2 4.40000+ 1 7.14403- 4 2.75962- 2 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 5.00000+ 0 2.40000+ 1 1.15150- 2 2.29480- 4 5.00000+ 0 2.50000+ 1 1.53980- 2 2.48380- 4 5.00000+ 0 2.70000+ 1 5.63683- 3 3.83890- 4 5.00000+ 0 2.90000+ 1 4.89592- 3 4.61940- 4 5.00000+ 0 3.00000+ 1 3.38582- 3 5.60830- 4 5.00000+ 0 3.20000+ 1 9.57954- 4 6.76110- 4 5.00000+ 0 3.30000+ 1 1.14060- 3 6.90710- 4 6.00000+ 0 1.10000+ 1 3.15130- 2 1.33540- 3 6.00000+ 0 1.30000+ 1 1.85580- 1 1.96720- 3 6.00000+ 0 1.40000+ 1 2.15040- 1 2.23530- 3 6.00000+ 0 1.60000+ 1 1.61169- 2 4.80220- 3 6.00000+ 0 1.80000+ 1 6.29480- 3 4.98900- 3 6.00000+ 0 1.90000+ 1 8.23678- 3 5.36840- 3 6.00000+ 0 2.10000+ 1 3.27640- 2 5.66620- 3 6.00000+ 0 2.20000+ 1 3.65730- 2 5.73364- 3 6.00000+ 0 2.40000+ 1 1.67459- 2 6.12748- 3 6.00000+ 0 2.50000+ 1 2.00910- 2 6.14638- 3 6.00000+ 0 2.70000+ 1 4.17079- 3 6.28189- 3 6.00000+ 0 2.90000+ 1 1.64299- 3 6.35994- 3 6.00000+ 0 3.00000+ 1 2.10930- 3 6.45883- 3 6.00000+ 0 3.20000+ 1 6.74799- 3 6.57411- 3 6.00000+ 0 3.30000+ 1 7.35559- 3 6.58871- 3 8.00000+ 0 8.00000+ 0 6.04472- 3 1.32626- 2 8.00000+ 0 1.00000+ 1 1.29782- 2 1.36583- 2 8.00000+ 0 1.10000+ 1 1.61283- 2 1.50497- 2 8.00000+ 0 1.30000+ 1 1.09352- 2 1.56815- 2 8.00000+ 0 1.40000+ 1 1.24042- 2 1.59496- 2 8.00000+ 0 1.60000+ 1 2.82486- 3 1.85165- 2 8.00000+ 0 1.80000+ 1 3.47777- 3 1.87033- 2 8.00000+ 0 1.90000+ 1 4.35488- 3 1.90827- 2 8.00000+ 0 2.10000+ 1 2.85756- 3 1.93805- 2 8.00000+ 0 2.20000+ 1 3.24856- 3 1.94479- 2 8.00000+ 0 2.40000+ 1 2.64005- 4 1.98418- 2 8.00000+ 0 2.50000+ 1 2.59525- 4 1.98607- 2 8.00000+ 0 2.70000+ 1 7.55553- 4 1.99962- 2 8.00000+ 0 2.90000+ 1 9.09847- 4 2.00742- 2 8.00000+ 0 3.00000+ 1 1.11902- 3 2.01731- 2 8.00000+ 0 3.20000+ 1 6.29382- 4 2.02884- 2 8.00000+ 0 3.30000+ 1 7.05833- 4 2.03030- 2 1.00000+ 1 1.00000+ 1 9.11434- 6 1.40540- 2 1.00000+ 1 1.10000+ 1 2.44964- 4 1.54454- 2 1.00000+ 1 1.30000+ 1 8.35316- 4 1.60772- 2 1.00000+ 1 1.40000+ 1 5.26836- 3 1.63453- 2 1.00000+ 1 1.60000+ 1 2.42424- 3 1.89122- 2 1.00000+ 1 1.80000+ 1 1.27916- 6 1.90990- 2 1.00000+ 1 1.90000+ 1 5.30866- 5 1.94784- 2 1.00000+ 1 2.10000+ 1 1.78446- 4 1.97762- 2 1.00000+ 1 2.20000+ 1 9.07234- 4 1.98436- 2 1.00000+ 1 2.40000+ 1 1.04887- 4 2.02375- 2 1.00000+ 1 2.50000+ 1 3.54980- 4 2.02564- 2 1.00000+ 1 2.70000+ 1 6.08253- 4 2.03919- 2 1.00000+ 1 2.90000+ 1 3.19791- 7 2.04699- 2 1.00000+ 1 3.00000+ 1 1.29516- 5 2.05688- 2 1.00000+ 1 3.20000+ 1 3.80559- 5 2.06841- 2 1.00000+ 1 3.30000+ 1 1.79566- 4 2.06987- 2 1.10000+ 1 1.10000+ 1 9.02052- 4 1.68368- 2 1.10000+ 1 1.30000+ 1 1.41340- 3 1.74686- 2 1.10000+ 1 1.40000+ 1 9.19162- 4 1.77367- 2 1.10000+ 1 1.60000+ 1 2.86951- 3 2.03036- 2 1.10000+ 1 1.80000+ 1 6.87602- 5 2.04904- 2 1.10000+ 1 1.90000+ 1 3.88721- 4 2.08698- 2 1.10000+ 1 2.10000+ 1 2.09961- 4 2.11676- 2 1.10000+ 1 2.20000+ 1 1.04740- 4 2.12350- 2 1.10000+ 1 2.40000+ 1 8.12331- 5 2.16289- 2 1.10000+ 1 2.50000+ 1 7.56361- 5 2.16478- 2 1.10000+ 1 2.70000+ 1 7.10762- 4 2.17833- 2 1.10000+ 1 2.90000+ 1 1.80691- 5 2.18613- 2 1.10000+ 1 3.00000+ 1 9.48232- 5 2.19602- 2 1.10000+ 1 3.20000+ 1 4.15751- 5 2.20755- 2 1.10000+ 1 3.30000+ 1 1.90281- 5 2.20901- 2 1.30000+ 1 1.30000+ 1 5.85079- 4 1.81004- 2 1.30000+ 1 1.40000+ 1 1.52499- 2 1.83685- 2 1.30000+ 1 1.60000+ 1 1.72459- 3 2.09354- 2 1.30000+ 1 1.80000+ 1 2.54090- 4 2.11222- 2 1.30000+ 1 1.90000+ 1 3.71289- 4 2.15016- 2 1.30000+ 1 2.10000+ 1 2.97729- 4 2.17994- 2 1.30000+ 1 2.20000+ 1 2.80649- 3 2.18668- 2 1.30000+ 1 2.40000+ 1 2.40810- 4 2.22607- 2 1.30000+ 1 2.50000+ 1 6.42648- 4 2.22796- 2 1.30000+ 1 2.70000+ 1 4.14309- 4 2.24151- 2 1.30000+ 1 2.90000+ 1 6.85958- 5 2.24931- 2 1.30000+ 1 3.00000+ 1 9.64166- 5 2.25920- 2 1.30000+ 1 3.20000+ 1 6.53988- 5 2.27073- 2 1.30000+ 1 3.30000+ 1 5.61739- 4 2.27219- 2 1.40000+ 1 1.40000+ 1 4.07514- 3 1.86366- 2 1.40000+ 1 1.60000+ 1 1.98187- 3 2.12035- 2 1.40000+ 1 1.80000+ 1 1.23174- 3 2.13903- 2 1.40000+ 1 1.90000+ 1 2.17308- 4 2.17697- 2 1.40000+ 1 2.10000+ 1 2.65350- 3 2.20675- 2 1.40000+ 1 2.20000+ 1 1.57795- 3 2.21349- 2 1.40000+ 1 2.40000+ 1 7.00385- 4 2.25288- 2 1.40000+ 1 2.50000+ 1 5.07708- 4 2.25477- 2 1.40000+ 1 2.70000+ 1 4.79877- 4 2.26832- 2 1.40000+ 1 2.90000+ 1 3.12621- 4 2.27612- 2 1.40000+ 1 3.00000+ 1 5.58080- 5 2.28601- 2 1.40000+ 1 3.20000+ 1 5.31859- 4 2.29754- 2 1.40000+ 1 3.30000+ 1 3.20291- 4 2.29900- 2 1.60000+ 1 1.60000+ 1 3.12454- 4 2.37704- 2 1.60000+ 1 1.80000+ 1 6.50829- 4 2.39572- 2 1.60000+ 1 1.90000+ 1 7.80539- 4 2.43366- 2 1.60000+ 1 2.10000+ 1 4.56206- 4 2.46344- 2 1.60000+ 1 2.20000+ 1 5.21447- 4 2.47018- 2 1.60000+ 1 2.40000+ 1 3.54995- 5 2.50957- 2 1.60000+ 1 2.50000+ 1 3.26214- 5 2.51146- 2 1.60000+ 1 2.70000+ 1 1.64862- 4 2.52501- 2 1.60000+ 1 2.90000+ 1 1.70302- 4 2.53281- 2 1.60000+ 1 3.00000+ 1 2.00843- 4 2.54270- 2 1.60000+ 1 3.20000+ 1 1.00741- 4 2.55423- 2 1.60000+ 1 3.30000+ 1 1.13371- 4 2.55569- 2 1.80000+ 1 1.80000+ 1 1.59910- 7 2.41440- 2 1.80000+ 1 1.90000+ 1 1.47110- 5 2.45234- 2 1.80000+ 1 2.10000+ 1 5.05289- 5 2.48212- 2 1.80000+ 1 2.20000+ 1 2.21780- 4 2.48886- 2 1.80000+ 1 2.40000+ 1 1.53510- 5 2.52825- 2 1.80000+ 1 2.50000+ 1 5.88470- 5 2.53014- 2 1.80000+ 1 2.70000+ 1 1.63260- 4 2.54369- 2 1.80000+ 1 3.00000+ 1 3.51790- 6 2.56138- 2 1.80000+ 1 3.20000+ 1 1.05540- 5 2.57291- 2 1.80000+ 1 3.30000+ 1 4.42930- 5 2.57437- 2 1.90000+ 1 1.90000+ 1 4.04558- 5 2.49028- 2 1.90000+ 1 2.10000+ 1 5.00509- 5 2.52006- 2 1.90000+ 1 2.20000+ 1 2.22265- 5 2.52680- 2 1.90000+ 1 2.40000+ 1 2.19075- 5 2.56619- 2 1.90000+ 1 2.50000+ 1 1.90284- 5 2.56808- 2 1.90000+ 1 2.70000+ 1 1.93644- 4 2.58163- 2 1.90000+ 1 2.90000+ 1 3.83777- 6 2.58943- 2 1.90000+ 1 3.00000+ 1 1.95084- 5 2.59932- 2 1.90000+ 1 3.20000+ 1 9.59448- 6 2.61085- 2 1.90000+ 1 3.30000+ 1 3.83777- 6 2.61231- 2 2.10000+ 1 2.10000+ 1 3.50188- 5 2.54984- 2 2.10000+ 1 2.20000+ 1 5.33442- 4 2.55658- 2 2.10000+ 1 2.40000+ 1 4.30149- 5 2.59597- 2 2.10000+ 1 2.50000+ 1 8.58687- 5 2.59786- 2 2.10000+ 1 2.70000+ 1 1.09852- 4 2.61141- 2 2.10000+ 1 2.90000+ 1 1.34322- 5 2.61921- 2 2.10000+ 1 3.00000+ 1 1.29522- 5 2.62910- 2 2.10000+ 1 3.20000+ 1 1.51913- 5 2.64063- 2 2.10000+ 1 3.30000+ 1 1.08732- 4 2.64209- 2 2.20000+ 1 2.20000+ 1 1.63590- 4 2.56333- 2 2.20000+ 1 2.40000+ 1 1.02020- 4 2.60271- 2 2.20000+ 1 2.50000+ 1 8.10700- 5 2.60460- 2 2.20000+ 1 2.70000+ 1 1.26320- 4 2.61815- 2 2.20000+ 1 2.90000+ 1 5.67661- 5 2.62596- 2 2.20000+ 1 3.00000+ 1 5.75651- 6 2.63585- 2 2.20000+ 1 3.20000+ 1 1.08890- 4 2.64737- 2 2.20000+ 1 3.30000+ 1 6.73211- 5 2.64883- 2 2.40000+ 1 2.40000+ 1 1.27920- 6 2.64210- 2 2.40000+ 1 2.50000+ 1 2.25471- 5 2.64399- 2 2.40000+ 1 2.70000+ 1 8.31531- 6 2.65754- 2 2.40000+ 1 2.90000+ 1 3.51791- 6 2.66534- 2 2.40000+ 1 3.00000+ 1 5.59662- 6 2.67523- 2 2.40000+ 1 3.20000+ 1 8.79502- 6 2.68676- 2 2.40000+ 1 3.30000+ 1 1.93481- 5 2.68822- 2 2.50000+ 1 2.50000+ 1 4.63716- 6 2.64588- 2 2.50000+ 1 2.70000+ 1 7.51549- 6 2.65943- 2 2.50000+ 1 2.90000+ 1 1.37521- 5 2.66723- 2 2.50000+ 1 3.00000+ 1 4.79716- 6 2.67712- 2 2.50000+ 1 3.20000+ 1 1.61502- 5 2.68865- 2 2.50000+ 1 3.30000+ 1 1.58312- 5 2.69011- 2 2.70000+ 1 2.70000+ 1 2.17471- 5 2.67298- 2 2.70000+ 1 2.90000+ 1 4.26952- 5 2.68078- 2 2.70000+ 1 3.00000+ 1 4.98902- 5 2.69067- 2 2.70000+ 1 3.20000+ 1 2.43051- 5 2.70220- 2 2.70000+ 1 3.30000+ 1 2.75031- 5 2.70366- 2 2.90000+ 1 3.00000+ 1 9.59446- 7 2.69848- 2 2.90000+ 1 3.20000+ 1 2.71845- 6 2.71000- 2 2.90000+ 1 3.30000+ 1 1.13532- 5 2.71146- 2 3.00000+ 1 3.00000+ 1 2.39864- 6 2.70837- 2 3.00000+ 1 3.20000+ 1 2.39864- 6 2.71989- 2 3.00000+ 1 3.30000+ 1 9.59444- 7 2.72135- 2 3.20000+ 1 3.20000+ 1 1.59909- 6 2.73142- 2 3.20000+ 1 3.30000+ 1 2.22260- 5 2.73288- 2 3.30000+ 1 3.30000+ 1 6.87603- 6 2.73434- 2 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 9.57629- 5 5.89800- 3 8.00000+ 0 1.19960- 2 1.96123- 2 1.10000+ 1 7.16340- 4 2.13994- 2 1.30000+ 1 4.08720- 1 2.20312- 2 1.60000+ 1 3.36030- 3 2.48662- 2 1.90000+ 1 2.30090- 4 2.54324- 2 2.10000+ 1 9.93089- 2 2.57302- 2 2.40000+ 1 7.64389- 4 2.61915- 2 2.70000+ 1 9.28969- 4 2.63459- 2 3.00000+ 1 6.13040- 5 2.65228- 2 3.20000+ 1 2.15680- 2 2.66381- 2 3.50000+ 1 9.19049- 5 2.67797- 2 4.10000+ 1 1.86800- 4 2.67271- 2 4.40000+ 1 8.86989- 6 2.67662- 2 5.80000+ 1 1.48910- 5 2.67861- 2 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 5.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 6.00000+ 0 1.10000+ 1 1.97618- 2 5.05400- 4 6.00000+ 0 1.30000+ 1 8.20731- 2 1.13720- 3 6.00000+ 0 1.40000+ 1 2.66038- 2 1.40530- 3 6.00000+ 0 1.60000+ 1 2.45058- 3 3.97220- 3 6.00000+ 0 1.80000+ 1 2.28898- 2 4.15900- 3 6.00000+ 0 1.90000+ 1 4.45526- 3 4.53840- 3 6.00000+ 0 2.10000+ 1 1.72028- 2 4.83620- 3 6.00000+ 0 2.20000+ 1 5.77814- 3 4.90364- 3 6.00000+ 0 2.40000+ 1 9.44558- 4 5.29748- 3 6.00000+ 0 2.50000+ 1 1.30008- 3 5.31638- 3 6.00000+ 0 2.70000+ 1 6.20333- 4 5.45189- 3 6.00000+ 0 2.90000+ 1 5.38944- 3 5.52994- 3 6.00000+ 0 3.00000+ 1 1.10708- 3 5.62883- 3 6.00000+ 0 3.20000+ 1 3.61686- 3 5.74411- 3 6.00000+ 0 3.30000+ 1 1.21628- 3 5.75871- 3 8.00000+ 0 8.00000+ 0 2.91800- 4 1.24326- 2 8.00000+ 0 1.00000+ 1 1.43990- 2 1.28283- 2 8.00000+ 0 1.10000+ 1 1.16519- 3 1.42197- 2 8.00000+ 0 1.30000+ 1 3.01410- 3 1.48515- 2 8.00000+ 0 1.40000+ 1 7.27681- 4 1.51196- 2 8.00000+ 0 1.60000+ 1 1.20779- 4 1.76865- 2 8.00000+ 0 1.80000+ 1 2.56321- 3 1.78733- 2 8.00000+ 0 1.90000+ 1 2.84720- 4 1.82527- 2 8.00000+ 0 2.10000+ 1 5.70591- 4 1.85505- 2 8.00000+ 0 2.20000+ 1 1.16439- 4 1.86179- 2 8.00000+ 0 2.40000+ 1 4.84040- 5 1.90118- 2 8.00000+ 0 2.50000+ 1 3.76740- 5 1.90307- 2 8.00000+ 0 2.70000+ 1 3.12810- 5 1.91662- 2 8.00000+ 0 2.90000+ 1 6.09181- 4 1.92442- 2 8.00000+ 0 3.00000+ 1 7.14671- 5 1.93431- 2 8.00000+ 0 3.20000+ 1 1.17359- 4 1.94584- 2 8.00000+ 0 3.30000+ 1 2.30611- 5 1.94730- 2 1.00000+ 1 1.00000+ 1 1.57719- 2 1.32240- 2 1.00000+ 1 1.10000+ 1 3.11938- 2 1.46154- 2 1.00000+ 1 1.30000+ 1 1.54299- 2 1.52472- 2 1.00000+ 1 1.40000+ 1 1.73809- 2 1.55153- 2 1.00000+ 1 1.60000+ 1 4.03307- 3 1.80822- 2 1.00000+ 1 1.80000+ 1 7.10956- 3 1.82690- 2 1.00000+ 1 1.90000+ 1 8.25704- 3 1.86484- 2 1.00000+ 1 2.10000+ 1 4.00077- 3 1.89462- 2 1.00000+ 1 2.20000+ 1 4.56828- 3 1.90136- 2 1.00000+ 1 2.40000+ 1 3.05728- 4 1.94075- 2 1.00000+ 1 2.50000+ 1 2.27639- 4 1.94264- 2 1.00000+ 1 2.70000+ 1 1.11649- 3 1.95619- 2 1.00000+ 1 2.90000+ 1 1.79799- 3 1.96399- 2 1.00000+ 1 3.00000+ 1 2.11199- 3 1.97388- 2 1.00000+ 1 3.20000+ 1 8.80883- 4 1.98541- 2 1.00000+ 1 3.30000+ 1 9.93924- 4 1.98687- 2 1.10000+ 1 1.10000+ 1 5.48211- 4 1.60068- 2 1.10000+ 1 1.30000+ 1 9.86691- 3 1.66386- 2 1.10000+ 1 1.40000+ 1 1.62110- 3 1.69067- 2 1.10000+ 1 1.60000+ 1 2.69431- 4 1.94736- 2 1.10000+ 1 1.80000+ 1 5.49931- 3 1.96604- 2 1.10000+ 1 1.90000+ 1 2.53221- 4 2.00398- 2 1.10000+ 1 2.10000+ 1 2.23011- 3 2.03376- 2 1.10000+ 1 2.20000+ 1 3.58930- 4 2.04050- 2 1.10000+ 1 2.40000+ 1 7.78571- 5 2.07989- 2 1.10000+ 1 2.50000+ 1 3.67600- 5 2.08178- 2 1.10000+ 1 2.70000+ 1 7.10101- 5 2.09533- 2 1.10000+ 1 2.90000+ 1 1.30209- 3 2.10313- 2 1.10000+ 1 3.00000+ 1 6.25631- 5 2.11302- 2 1.10000+ 1 3.20000+ 1 4.75130- 4 2.12455- 2 1.10000+ 1 3.30000+ 1 7.53491- 5 2.12601- 2 1.30000+ 1 1.30000+ 1 9.31058- 3 1.72704- 2 1.30000+ 1 1.40000+ 1 3.46419- 2 1.75385- 2 1.30000+ 1 1.60000+ 1 8.44558- 4 2.01054- 2 1.30000+ 1 1.80000+ 1 2.60720- 3 2.02922- 2 1.30000+ 1 1.90000+ 1 2.37870- 3 2.06716- 2 1.30000+ 1 2.10000+ 1 4.02589- 3 2.09694- 2 1.30000+ 1 2.20000+ 1 8.10479- 3 2.10368- 2 1.30000+ 1 2.40000+ 1 8.69458- 4 2.14307- 2 1.30000+ 1 2.50000+ 1 1.69720- 3 2.14496- 2 1.30000+ 1 2.70000+ 1 2.34490- 4 2.15851- 2 1.30000+ 1 2.90000+ 1 6.17629- 4 2.16631- 2 1.30000+ 1 3.00000+ 1 5.94809- 4 2.17620- 2 1.30000+ 1 3.20000+ 1 8.54628- 4 2.18773- 2 1.30000+ 1 3.30000+ 1 1.71810- 3 2.18919- 2 1.40000+ 1 1.40000+ 1 1.69818- 3 1.78066- 2 1.40000+ 1 1.60000+ 1 1.64848- 4 2.03735- 2 1.40000+ 1 1.80000+ 1 2.53167- 3 2.05603- 2 1.40000+ 1 1.90000+ 1 3.62115- 4 2.09397- 2 1.40000+ 1 2.10000+ 1 6.17223- 3 2.12375- 2 1.40000+ 1 2.20000+ 1 7.28352- 4 2.13049- 2 1.40000+ 1 2.40000+ 1 3.46596- 4 2.16988- 2 1.40000+ 1 2.50000+ 1 1.30608- 4 2.17177- 2 1.40000+ 1 2.70000+ 1 4.33816- 5 2.18532- 2 1.40000+ 1 2.90000+ 1 5.71483- 4 2.19312- 2 1.40000+ 1 3.00000+ 1 8.90458- 5 2.20301- 2 1.40000+ 1 3.20000+ 1 1.24818- 3 2.21454- 2 1.40000+ 1 3.30000+ 1 1.52298- 4 2.21600- 2 1.60000+ 1 1.60000+ 1 1.18726- 5 2.29404- 2 1.60000+ 1 1.80000+ 1 7.21021- 4 2.31272- 2 1.60000+ 1 1.90000+ 1 6.59822- 5 2.35066- 2 1.60000+ 1 2.10000+ 1 1.57086- 4 2.38044- 2 1.60000+ 1 2.20000+ 1 2.58004- 5 2.38718- 2 1.60000+ 1 2.40000+ 1 1.14156- 5 2.42657- 2 1.60000+ 1 2.50000+ 1 7.30601- 6 2.42846- 2 1.60000+ 1 2.70000+ 1 6.16484- 6 2.44201- 2 1.60000+ 1 2.90000+ 1 1.71466- 4 2.44981- 2 1.60000+ 1 3.00000+ 1 1.66676- 5 2.45970- 2 1.60000+ 1 3.20000+ 1 3.21931- 5 2.47123- 2 1.60000+ 1 3.30000+ 1 5.02327- 6 2.47269- 2 1.80000+ 1 1.80000+ 1 7.62619- 4 2.33140- 2 1.80000+ 1 1.90000+ 1 1.46200- 3 2.36934- 2 1.80000+ 1 2.10000+ 1 6.66488- 4 2.39912- 2 1.80000+ 1 2.20000+ 1 6.73808- 4 2.40586- 2 1.80000+ 1 2.40000+ 1 4.26970- 5 2.44525- 2 1.80000+ 1 2.50000+ 1 2.32890- 5 2.44714- 2 1.80000+ 1 2.70000+ 1 1.99780- 4 2.46069- 2 1.80000+ 1 2.90000+ 1 3.81299- 4 2.46849- 2 1.80000+ 1 3.00000+ 1 3.74219- 4 2.47838- 2 1.80000+ 1 3.20000+ 1 1.46350- 4 2.48991- 2 1.80000+ 1 3.30000+ 1 1.47050- 4 2.49137- 2 1.90000+ 1 1.90000+ 1 2.92268- 5 2.40728- 2 1.90000+ 1 2.10000+ 1 5.40906- 4 2.43706- 2 1.90000+ 1 2.20000+ 1 8.06034- 5 2.44380- 2 1.90000+ 1 2.40000+ 1 1.78096- 5 2.48319- 2 1.90000+ 1 2.50000+ 1 7.53513- 6 2.48508- 2 1.90000+ 1 2.70000+ 1 1.73535- 5 2.49863- 2 1.90000+ 1 2.90000+ 1 3.46380- 4 2.50643- 2 1.90000+ 1 3.00000+ 1 1.43855- 5 2.51632- 2 1.90000+ 1 3.20000+ 1 1.15303- 4 2.52785- 2 1.90000+ 1 3.30000+ 1 1.68965- 5 2.52931- 2 2.10000+ 1 2.10000+ 1 4.34953- 4 2.46684- 2 2.10000+ 1 2.20000+ 1 1.50488- 3 2.47358- 2 2.10000+ 1 2.40000+ 1 1.31287- 4 2.51297- 2 2.10000+ 1 2.50000+ 1 2.55726- 4 2.51486- 2 2.10000+ 1 2.70000+ 1 4.33813- 5 2.52841- 2 2.10000+ 1 2.90000+ 1 1.57087- 4 2.53621- 2 2.10000+ 1 3.00000+ 1 1.35397- 4 2.54610- 2 2.10000+ 1 3.20000+ 1 1.84487- 4 2.55763- 2 2.10000+ 1 3.30000+ 1 3.21704- 4 2.55909- 2 2.20000+ 1 2.20000+ 1 7.92310- 5 2.48033- 2 2.20000+ 1 2.40000+ 1 5.70810- 5 2.51971- 2 2.20000+ 1 2.50000+ 1 2.21470- 5 2.52160- 2 2.20000+ 1 2.70000+ 1 6.84970- 6 2.53515- 2 2.20000+ 1 2.90000+ 1 1.52520- 4 2.54296- 2 2.20000+ 1 3.00000+ 1 1.98640- 5 2.55285- 2 2.20000+ 1 3.20000+ 1 3.06870- 4 2.56437- 2 2.20000+ 1 3.30000+ 1 3.31070- 5 2.56583- 2 2.40000+ 1 2.40000+ 1 3.42487- 6 2.55910- 2 2.40000+ 1 2.50000+ 1 2.28329- 5 2.56099- 2 2.40000+ 1 2.70000+ 1 2.96827- 6 2.57454- 2 2.40000+ 1 2.90000+ 1 9.81803- 6 2.58234- 2 2.40000+ 1 3.00000+ 1 4.33818- 6 2.59223- 2 2.40000+ 1 3.20000+ 1 2.55729- 5 2.60376- 2 2.40000+ 1 3.30000+ 1 1.11878- 5 2.60522- 2 2.50000+ 1 2.50000+ 1 1.36990- 6 2.56288- 2 2.50000+ 1 2.70000+ 1 1.82660- 6 2.57643- 2 2.50000+ 1 2.90000+ 1 4.79469- 6 2.58423- 2 2.50000+ 1 3.00000+ 1 1.82660- 6 2.59412- 2 2.50000+ 1 3.20000+ 1 4.97730- 5 2.60565- 2 2.50000+ 1 3.30000+ 1 4.33820- 6 2.60711- 2 2.70000+ 1 2.70000+ 1 6.84972- 7 2.58998- 2 2.70000+ 1 2.90000+ 1 4.74911- 5 2.59778- 2 2.70000+ 1 3.00000+ 1 4.33822- 6 2.60767- 2 2.70000+ 1 3.20000+ 1 8.90471- 6 2.61920- 2 2.70000+ 1 3.30000+ 1 1.36991- 6 2.62066- 2 2.90000+ 1 2.90000+ 1 4.74898- 5 2.60559- 2 2.90000+ 1 3.00000+ 1 8.85887- 5 2.61548- 2 2.90000+ 1 3.20000+ 1 3.44761- 5 2.62700- 2 2.90000+ 1 3.30000+ 1 3.33352- 5 2.62846- 2 3.00000+ 1 3.00000+ 1 1.82658- 6 2.62537- 2 3.00000+ 1 3.20000+ 1 2.89976- 5 2.63689- 2 3.00000+ 1 3.30000+ 1 4.10976- 6 2.63835- 2 3.20000+ 1 3.20000+ 1 1.96360- 5 2.64842- 2 3.20000+ 1 3.30000+ 1 6.57589- 5 2.64988- 2 3.30000+ 1 3.30000+ 1 3.42490- 6 2.65134- 2 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 2.71499- 2 1.37143- 2 1.00000+ 1 3.60449- 4 1.41100- 2 1.10000+ 1 3.34199- 4 1.55014- 2 1.30000+ 1 3.91178- 2 1.61332- 2 1.40000+ 1 3.43139- 1 1.64013- 2 1.60000+ 1 7.00927- 3 1.89682- 2 1.80000+ 1 7.67057- 5 1.91550- 2 1.90000+ 1 9.42786- 5 1.95344- 2 2.10000+ 1 8.18937- 3 1.98322- 2 2.20000+ 1 7.58647- 2 1.98996- 2 2.40000+ 1 1.41809- 4 2.02935- 2 2.50000+ 1 7.72907- 4 2.03124- 2 2.70000+ 1 1.90639- 3 2.04479- 2 2.90000+ 1 1.89859- 5 2.05259- 2 3.00000+ 1 2.43809- 5 2.06248- 2 3.20000+ 1 1.72159- 3 2.07401- 2 3.30000+ 1 1.59309- 2 2.07547- 2 3.50000+ 1 1.67669- 5 2.08817- 2 3.60000+ 1 8.85746- 5 2.08838- 2 4.10000+ 1 3.81788- 4 2.08291- 2 4.30000+ 1 3.16549- 6 2.08527- 2 4.40000+ 1 3.50599- 6 2.08682- 2 5.80000+ 1 3.04169- 5 2.08881- 2 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 6.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 8.00000+ 0 8.00000+ 0 2.22750- 4 6.53460- 3 8.00000+ 0 1.00000+ 1 9.86478- 5 6.93030- 3 8.00000+ 0 1.10000+ 1 1.66989- 2 8.32170- 3 8.00000+ 0 1.30000+ 1 3.24770- 3 8.95350- 3 8.00000+ 0 1.40000+ 1 7.24169- 3 9.22160- 3 8.00000+ 0 1.60000+ 1 9.83748- 5 1.17885- 2 8.00000+ 0 1.80000+ 1 1.25990- 5 1.19753- 2 8.00000+ 0 1.90000+ 1 2.88540- 3 1.23547- 2 8.00000+ 0 2.10000+ 1 4.33979- 4 1.26525- 2 8.00000+ 0 2.20000+ 1 9.35799- 4 1.27199- 2 8.00000+ 0 2.40000+ 1 4.37729- 4 1.31138- 2 8.00000+ 0 2.50000+ 1 7.11409- 4 1.31327- 2 8.00000+ 0 2.70000+ 1 2.54650- 5 1.32682- 2 8.00000+ 0 2.90000+ 1 2.94860- 6 1.33462- 2 8.00000+ 0 3.00000+ 1 6.67710- 4 1.34451- 2 8.00000+ 0 3.20000+ 1 8.28289- 5 1.35604- 2 8.00000+ 0 3.30000+ 1 1.72899- 4 1.35750- 2 1.00000+ 1 1.00000+ 1 2.57321- 5 7.32600- 3 1.00000+ 1 1.10000+ 1 2.79441- 2 8.71740- 3 1.00000+ 1 1.30000+ 1 1.22476- 3 9.34920- 3 1.00000+ 1 1.40000+ 1 7.28105- 3 9.61730- 3 1.00000+ 1 1.60000+ 1 2.25162- 5 1.21842- 2 1.00000+ 1 1.80000+ 1 1.84943- 5 1.23710- 2 1.00000+ 1 1.90000+ 1 5.00723- 3 1.27504- 2 1.00000+ 1 2.10000+ 1 2.34002- 4 1.30482- 2 1.00000+ 1 2.20000+ 1 1.17576- 3 1.31156- 2 1.00000+ 1 2.40000+ 1 3.24069- 4 1.35095- 2 1.00000+ 1 2.50000+ 1 7.34985- 4 1.35284- 2 1.00000+ 1 2.70000+ 1 6.16489- 6 1.36639- 2 1.00000+ 1 2.90000+ 1 5.62901- 6 1.37419- 2 1.00000+ 1 3.00000+ 1 1.16796- 3 1.38408- 2 1.00000+ 1 3.20000+ 1 5.06593- 5 1.39561- 2 1.00000+ 1 3.30000+ 1 2.33742- 4 1.39707- 2 1.10000+ 1 1.10000+ 1 3.13779- 2 1.01088- 2 1.10000+ 1 1.30000+ 1 3.29079- 2 1.07406- 2 1.10000+ 1 1.40000+ 1 3.93389- 2 1.10087- 2 1.10000+ 1 1.60000+ 1 4.58318- 3 1.35756- 2 1.10000+ 1 1.80000+ 1 6.86008- 3 1.37624- 2 1.10000+ 1 1.90000+ 1 1.37010- 2 1.41418- 2 1.10000+ 1 2.10000+ 1 7.93327- 3 1.44396- 2 1.10000+ 1 2.20000+ 1 9.50416- 3 1.45070- 2 1.10000+ 1 2.40000+ 1 8.95576- 4 1.49009- 2 1.10000+ 1 2.50000+ 1 1.03650- 3 1.49198- 2 1.10000+ 1 2.70000+ 1 1.26140- 3 1.50553- 2 1.10000+ 1 2.90000+ 1 1.76489- 3 1.51333- 2 1.10000+ 1 3.00000+ 1 3.37079- 3 1.52322- 2 1.10000+ 1 3.20000+ 1 1.72229- 3 1.53475- 2 1.10000+ 1 3.30000+ 1 2.03159- 3 1.53621- 2 1.30000+ 1 1.30000+ 1 4.07855- 3 1.13724- 2 1.30000+ 1 1.40000+ 1 7.55989- 2 1.16405- 2 1.30000+ 1 1.60000+ 1 7.60999- 4 1.42074- 2 1.30000+ 1 1.80000+ 1 3.51424- 4 1.43942- 2 1.30000+ 1 1.90000+ 1 5.26346- 3 1.47736- 2 1.30000+ 1 2.10000+ 1 1.62851- 3 1.50714- 2 1.30000+ 1 2.20000+ 1 1.27132- 2 1.51388- 2 1.30000+ 1 2.40000+ 1 4.68845- 4 1.55327- 2 1.30000+ 1 2.50000+ 1 1.53841- 3 1.55516- 2 1.30000+ 1 2.70000+ 1 2.05332- 4 1.56871- 2 1.30000+ 1 2.90000+ 1 9.22101- 5 1.57651- 2 1.30000+ 1 3.00000+ 1 1.19442- 3 1.58640- 2 1.30000+ 1 3.20000+ 1 3.41504- 4 1.59793- 2 1.30000+ 1 3.30000+ 1 2.51383- 3 1.59939- 2 1.40000+ 1 1.40000+ 1 4.95784- 2 1.19086- 2 1.40000+ 1 1.60000+ 1 1.73275- 3 1.44755- 2 1.40000+ 1 1.80000+ 1 1.60834- 3 1.46623- 2 1.40000+ 1 1.90000+ 1 6.96721- 3 1.50417- 2 1.40000+ 1 2.10000+ 1 1.51694- 2 1.53395- 2 1.40000+ 1 2.20000+ 1 1.91825- 2 1.54069- 2 1.40000+ 1 2.40000+ 1 4.83984- 3 1.58008- 2 1.40000+ 1 2.50000+ 1 4.30942- 3 1.58197- 2 1.40000+ 1 2.70000+ 1 4.71253- 4 1.59552- 2 1.40000+ 1 2.90000+ 1 4.05852- 4 1.60332- 2 1.40000+ 1 3.00000+ 1 1.63464- 3 1.61321- 2 1.40000+ 1 3.20000+ 1 3.17069- 3 1.62474- 2 1.40000+ 1 3.30000+ 1 3.92922- 3 1.62620- 2 1.60000+ 1 1.60000+ 1 1.17953- 5 1.70424- 2 1.60000+ 1 1.80000+ 1 3.75288- 6 1.72292- 2 1.60000+ 1 1.90000+ 1 7.88375- 4 1.76086- 2 1.60000+ 1 2.10000+ 1 1.08302- 4 1.79064- 2 1.60000+ 1 2.20000+ 1 2.34284- 4 1.79738- 2 1.60000+ 1 2.40000+ 1 4.98599- 5 1.83677- 2 1.60000+ 1 2.50000+ 1 9.03388- 5 1.83866- 2 1.60000+ 1 2.70000+ 1 6.16522- 6 1.85221- 2 1.60000+ 1 2.90000+ 1 8.04185- 7 1.86001- 2 1.60000+ 1 3.00000+ 1 1.82013- 4 1.86990- 2 1.60000+ 1 3.20000+ 1 2.09084- 5 1.88143- 2 1.60000+ 1 3.30000+ 1 4.36938- 5 1.88289- 2 1.80000+ 1 1.80000+ 1 1.07219- 6 1.74160- 2 1.80000+ 1 1.90000+ 1 1.21539- 3 1.77954- 2 1.80000+ 1 2.10000+ 1 6.08485- 5 1.80932- 2 1.80000+ 1 2.20000+ 1 2.95127- 4 1.81606- 2 1.80000+ 1 2.40000+ 1 4.82486- 5 1.85545- 2 1.80000+ 1 2.50000+ 1 1.01589- 4 1.85734- 2 1.80000+ 1 2.70000+ 1 1.07219- 6 1.87089- 2 1.80000+ 1 2.90000+ 1 5.36125- 7 1.87869- 2 1.80000+ 1 3.00000+ 1 2.82798- 4 1.88858- 2 1.80000+ 1 3.20000+ 1 1.25989- 5 1.90011- 2 1.80000+ 1 3.30000+ 1 5.95065- 5 1.90157- 2 1.90000+ 1 1.90000+ 1 1.42306- 3 1.81748- 2 1.90000+ 1 2.10000+ 1 1.27538- 3 1.84726- 2 1.90000+ 1 2.20000+ 1 1.66536- 3 1.85400- 2 1.90000+ 1 2.40000+ 1 1.18478- 4 1.89339- 2 1.90000+ 1 2.50000+ 1 1.44206- 4 1.89528- 2 1.90000+ 1 2.70000+ 1 2.16845- 4 1.90883- 2 1.90000+ 1 2.90000+ 1 3.12003- 4 1.91663- 2 1.90000+ 1 3.00000+ 1 6.91815- 4 1.92652- 2 1.90000+ 1 3.20000+ 1 2.77164- 4 1.93805- 2 1.90000+ 1 3.30000+ 1 3.55162- 4 1.93951- 2 2.10000+ 1 2.10000+ 1 1.55195- 4 1.87704- 2 2.10000+ 1 2.20000+ 1 2.69283- 3 1.88378- 2 2.10000+ 1 2.40000+ 1 6.08474- 5 1.92317- 2 2.10000+ 1 2.50000+ 1 1.85225- 4 1.92506- 2 2.10000+ 1 2.70000+ 1 2.94852- 5 1.93861- 2 2.10000+ 1 2.90000+ 1 1.58145- 5 1.94641- 2 2.10000+ 1 3.00000+ 1 2.90032- 4 1.95630- 2 2.10000+ 1 3.20000+ 1 6.46013- 5 1.96783- 2 2.10000+ 1 3.30000+ 1 5.37455- 4 1.96929- 2 2.20000+ 1 2.20000+ 1 1.87123- 3 1.89053- 2 2.20000+ 1 2.40000+ 1 6.27478- 4 1.92991- 2 2.20000+ 1 2.50000+ 1 5.46281- 4 1.93180- 2 2.20000+ 1 2.70000+ 1 6.43328- 5 1.94535- 2 2.20000+ 1 2.90000+ 1 7.58573- 5 1.95316- 2 2.20000+ 1 3.00000+ 1 3.89467- 4 1.96305- 2 2.20000+ 1 3.20000+ 1 5.68250- 4 1.97457- 2 2.20000+ 1 3.30000+ 1 7.66883- 4 1.97603- 2 2.40000+ 1 2.40000+ 1 3.21666- 6 1.96930- 2 2.40000+ 1 2.50000+ 1 9.62299- 5 1.97119- 2 2.40000+ 1 2.70000+ 1 1.12579- 5 1.98474- 2 2.40000+ 1 2.90000+ 1 1.12579- 5 1.99254- 2 2.40000+ 1 3.00000+ 1 2.60007- 5 2.00243- 2 2.40000+ 1 3.20000+ 1 1.15269- 5 2.01396- 2 2.40000+ 1 3.30000+ 1 1.16869- 4 2.01542- 2 2.50000+ 1 2.50000+ 1 3.40438- 5 1.97308- 2 2.50000+ 1 2.70000+ 1 2.11759- 5 1.98663- 2 2.50000+ 1 2.90000+ 1 2.33209- 5 1.99443- 2 2.50000+ 1 3.00000+ 1 3.21668- 5 2.00432- 2 2.50000+ 1 3.20000+ 1 3.43118- 5 2.01585- 2 2.50000+ 1 3.30000+ 1 1.01330- 4 2.01731- 2 2.70000+ 1 2.70000+ 1 8.04150- 7 2.00018- 2 2.70000+ 1 2.90000+ 1 2.68053- 7 2.00798- 2 2.70000+ 1 3.00000+ 1 5.01247- 5 2.01787- 2 2.70000+ 1 3.20000+ 1 5.62906- 6 2.02940- 2 2.70000+ 1 3.30000+ 1 1.20627- 5 2.03086- 2 2.90000+ 1 3.00000+ 1 7.26394- 5 2.02568- 2 2.90000+ 1 3.20000+ 1 3.21663- 6 2.03720- 2 2.90000+ 1 3.30000+ 1 1.52786- 5 2.03866- 2 3.00000+ 1 3.00000+ 1 8.39019- 5 2.03557- 2 3.00000+ 1 3.20000+ 1 6.29922- 5 2.04709- 2 3.00000+ 1 3.30000+ 1 8.30949- 5 2.04855- 2 3.20000+ 1 3.20000+ 1 6.70137- 6 2.05862- 2 3.20000+ 1 3.30000+ 1 1.13648- 4 2.06008- 2 3.30000+ 1 3.30000+ 1 7.85387- 5 2.06154- 2 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 1.04790- 5 3.95700- 4 1.10000+ 1 2.27220- 3 1.78710- 3 1.80000+ 1 3.75451- 3 5.44070- 3 1.90000+ 1 1.29290- 3 5.82010- 3 2.90000+ 1 1.08110- 3 6.81164- 3 3.00000+ 1 4.59671- 4 6.91053- 3 4.30000+ 1 1.85710- 4 7.13843- 3 4.40000+ 1 6.98261- 5 7.15393- 3 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 8.00000+ 0 .00000+ 0 .00000+ 0 .00000+ 0 1.00000+ 1 2.90000+ 1 1.74941- 2 2.76400- 5 1.00000+ 1 3.00000+ 1 1.90611- 2 1.26530- 4 1.00000+ 1 3.20000+ 1 1.14571- 2 2.41810- 4 1.00000+ 1 3.30000+ 1 1.42721- 2 2.56410- 4 1.00000+ 1 3.50000+ 1 1.41421- 3 3.83410- 4 1.00000+ 1 3.60000+ 1 1.74141- 3 3.85520- 4 1.00000+ 1 4.10000+ 1 3.05073- 3 3.30850- 4 1.00000+ 1 4.30000+ 1 2.73123- 3 3.54430- 4 1.00000+ 1 4.40000+ 1 2.49863- 3 3.69930- 4 1.00000+ 1 5.80000+ 1 2.30513- 4 3.89850- 4 1.10000+ 1 1.80000+ 1 4.98303- 2 4.81000- 5 1.10000+ 1 1.90000+ 1 2.77392- 2 4.27500- 4 1.10000+ 1 2.10000+ 1 7.68246- 3 7.25300- 4 1.10000+ 1 2.20000+ 1 2.57112- 2 7.92740- 4 1.10000+ 1 2.40000+ 1 1.96161- 1 1.18658- 3 1.10000+ 1 2.50000+ 1 2.31632- 1 1.20548- 3 1.10000+ 1 2.70000+ 1 1.10301- 2 1.34099- 3 1.10000+ 1 2.90000+ 1 1.17561- 2 1.41904- 3 1.10000+ 1 3.00000+ 1 7.00115- 3 1.51793- 3 1.10000+ 1 3.20000+ 1 2.02671- 3 1.63321- 3 1.10000+ 1 3.30000+ 1 5.88584- 3 1.64781- 3 1.10000+ 1 3.50000+ 1 1.36711- 2 1.77481- 3 1.10000+ 1 3.60000+ 1 1.53251- 2 1.77692- 3 1.10000+ 1 4.10000+ 1 2.11362- 3 1.72225- 3 1.10000+ 1 4.30000+ 1 1.86561- 3 1.74583- 3 1.10000+ 1 4.40000+ 1 9.44466- 4 1.76133- 3 1.10000+ 1 5.80000+ 1 1.55341- 4 1.78125- 3 1.30000+ 1 1.60000+ 1 2.69621- 2 4.93100- 4 1.30000+ 1 1.80000+ 1 5.43620- 3 6.79900- 4 1.30000+ 1 1.90000+ 1 1.17800- 2 1.05930- 3 1.30000+ 1 2.10000+ 1 8.61781- 3 1.35710- 3 1.30000+ 1 2.20000+ 1 9.63401- 3 1.42454- 3 1.30000+ 1 2.40000+ 1 1.00950- 2 1.81838- 3 1.30000+ 1 2.50000+ 1 9.96431- 3 1.83728- 3 1.30000+ 1 2.70000+ 1 4.47961- 3 1.97279- 3 1.30000+ 1 2.90000+ 1 1.11560- 3 2.05084- 3 1.30000+ 1 3.00000+ 1 2.18961- 3 2.14973- 3 1.30000+ 1 3.20000+ 1 1.52380- 3 2.26501- 3 1.30000+ 1 3.30000+ 1 1.85730- 3 2.27961- 3 1.30000+ 1 3.50000+ 1 7.30821- 4 2.40661- 3 1.30000+ 1 3.60000+ 1 6.48141- 4 2.40872- 3 1.30000+ 1 4.10000+ 1 7.84531- 4 2.35405- 3 1.30000+ 1 4.30000+ 1 1.73940- 4 2.37763- 3 1.30000+ 1 4.40000+ 1 2.79571- 4 2.39313- 3 1.30000+ 1 5.80000+ 1 5.78890- 5 2.41305- 3 1.40000+ 1 1.60000+ 1 3.59222- 2 7.61200- 4 1.40000+ 1 1.80000+ 1 8.06652- 4 9.48000- 4 1.40000+ 1 1.90000+ 1 1.30857- 2 1.32740- 3 1.40000+ 1 2.10000+ 1 1.13117- 2 1.62520- 3 1.40000+ 1 2.20000+ 1 1.48886- 2 1.69264- 3 1.40000+ 1 2.40000+ 1 1.27667- 2 2.08648- 3 1.40000+ 1 2.50000+ 1 1.80945- 2 2.10538- 3 1.40000+ 1 2.70000+ 1 5.85076- 3 2.24089- 3 1.40000+ 1 2.90000+ 1 2.62164- 4 2.31894- 3 1.40000+ 1 3.00000+ 1 2.37705- 3 2.41783- 3 1.40000+ 1 3.20000+ 1 2.24675- 3 2.53311- 3 1.40000+ 1 3.30000+ 1 2.77064- 3 2.54771- 3 1.40000+ 1 3.50000+ 1 8.62820- 4 2.67471- 3 1.40000+ 1 3.60000+ 1 1.21107- 3 2.67682- 3 1.40000+ 1 4.10000+ 1 1.01957- 3 2.62215- 3 1.40000+ 1 4.30000+ 1 4.51000- 5 2.64573- 3 1.40000+ 1 4.40000+ 1 3.03033- 4 2.66123- 3 1.40000+ 1 5.80000+ 1 7.51653- 5 2.68115- 3 1.60000+ 1 1.60000+ 1 2.26452- 3 3.32810- 3 1.60000+ 1 1.80000+ 1 4.08553- 3 3.51490- 3 1.60000+ 1 1.90000+ 1 5.97164- 3 3.89430- 3 1.60000+ 1 2.10000+ 1 7.38785- 3 4.19210- 3 1.60000+ 1 2.20000+ 1 1.00490- 2 4.25954- 3 1.60000+ 1 2.40000+ 1 5.58593- 3 4.65338- 3 1.60000+ 1 2.50000+ 1 6.80095- 3 4.67228- 3 1.60000+ 1 2.70000+ 1 1.00300- 3 4.80779- 3 1.60000+ 1 2.90000+ 1 1.06730- 3 4.88584- 3 1.60000+ 1 3.00000+ 1 1.52721- 3 4.98473- 3 1.60000+ 1 3.20000+ 1 1.57851- 3 5.10001- 3 1.60000+ 1 3.30000+ 1 2.11922- 3 5.11461- 3 1.60000+ 1 3.50000+ 1 5.44783- 4 5.24161- 3 1.60000+ 1 3.60000+ 1 6.34435- 4 5.24372- 3 1.60000+ 1 4.10000+ 1 1.90561- 4 5.18905- 3 1.60000+ 1 4.30000+ 1 1.74201- 4 5.21263- 3 1.60000+ 1 4.40000+ 1 2.07171- 4 5.22813- 3 1.60000+ 1 5.80000+ 1 1.42431- 5 5.24805- 3 1.80000+ 1 1.80000+ 1 1.38341- 4 3.70170- 3 1.80000+ 1 1.90000+ 1 5.20895- 4 4.08110- 3 1.80000+ 1 2.10000+ 1 2.31443- 4 4.37890- 3 1.80000+ 1 2.20000+ 1 8.08378- 5 4.44634- 3 1.80000+ 1 2.40000+ 1 1.88571- 5 4.84018- 3 1.80000+ 1 2.50000+ 1 5.96445- 4 4.85908- 3 1.80000+ 1 2.70000+ 1 6.68747- 4 4.99459- 3 1.80000+ 1 2.90000+ 1 4.98495- 5 5.07264- 3 1.80000+ 1 3.00000+ 1 8.76959- 5 5.17153- 3 1.80000+ 1 3.20000+ 1 4.11444- 5 5.28681- 3 1.80000+ 1 3.30000+ 1 2.26823- 5 5.30141- 3 1.80000+ 1 3.50000+ 1 1.18691- 6 5.42841- 3 1.80000+ 1 3.60000+ 1 3.46834- 5 5.43052- 3 1.80000+ 1 4.10000+ 1 1.17231- 4 5.37585- 3 1.80000+ 1 4.30000+ 1 7.51678- 6 5.39943- 3 1.80000+ 1 4.40000+ 1 1.10771- 5 5.41493- 3 1.80000+ 1 5.80000+ 1 8.57178- 6 5.43485- 3 1.90000+ 1 1.90000+ 1 3.64231- 4 4.46050- 3 1.90000+ 1 2.10000+ 1 8.06383- 4 4.75830- 3 1.90000+ 1 2.20000+ 1 1.68930- 3 4.82574- 3 1.90000+ 1 2.40000+ 1 1.31510- 3 5.21958- 3 1.90000+ 1 2.50000+ 1 1.71120- 3 5.23848- 3 1.90000+ 1 2.70000+ 1 9.80993- 4 5.37399- 3 1.90000+ 1 2.90000+ 1 1.18420- 4 5.45204- 3 1.90000+ 1 3.00000+ 1 1.60480- 4 5.55093- 3 1.90000+ 1 3.20000+ 1 1.62860- 4 5.66621- 3 1.90000+ 1 3.30000+ 1 3.37201- 4 5.68081- 3 1.90000+ 1 3.50000+ 1 1.21190- 4 5.80781- 3 1.90000+ 1 3.60000+ 1 1.37280- 4 5.80992- 3 1.90000+ 1 4.10000+ 1 1.72490- 4 5.75525- 3 1.90000+ 1 4.30000+ 1 1.88570- 5 5.77883- 3 1.90000+ 1 4.40000+ 1 2.12321- 5 5.79433- 3 1.90000+ 1 5.80000+ 1 1.27910- 5 5.81425- 3 2.10000+ 1 2.10000+ 1 1.09721- 4 5.05610- 3 2.10000+ 1 2.20000+ 1 1.78162- 4 5.12354- 3 2.10000+ 1 2.40000+ 1 4.63666- 4 5.51738- 3 2.10000+ 1 2.50000+ 1 2.34814- 3 5.53628- 3 2.10000+ 1 2.70000+ 1 1.17561- 3 5.67179- 3 2.10000+ 1 2.90000+ 1 3.61325- 5 5.74984- 3 2.10000+ 1 3.00000+ 1 1.53102- 4 5.84873- 3 2.10000+ 1 3.20000+ 1 3.67925- 5 5.96401- 3 2.10000+ 1 3.30000+ 1 3.20455- 5 5.97861- 3 2.10000+ 1 3.50000+ 1 3.98256- 5 6.10561- 3 2.10000+ 1 3.60000+ 1 1.53242- 4 6.10772- 3 2.10000+ 1 4.10000+ 1 2.04542- 4 6.05305- 3 2.10000+ 1 4.30000+ 1 5.27477- 6 6.07663- 3 2.10000+ 1 4.40000+ 1 1.95172- 5 6.09213- 3 2.10000+ 1 5.80000+ 1 1.50342- 5 6.11205- 3 2.20000+ 1 2.20000+ 1 2.16272- 4 5.19098- 3 2.20000+ 1 2.40000+ 1 1.96581- 3 5.58482- 3 2.20000+ 1 2.50000+ 1 1.39681- 3 5.60372- 3 2.20000+ 1 2.70000+ 1 1.58601- 3 5.73923- 3 2.20000+ 1 2.90000+ 1 1.46381- 5 5.81728- 3 2.20000+ 1 3.00000+ 1 3.14123- 4 5.91617- 3 2.20000+ 1 3.20000+ 1 2.70343- 5 6.03145- 3 2.20000+ 1 3.30000+ 1 7.51676- 5 6.04605- 3 2.20000+ 1 3.50000+ 1 1.29231- 4 6.17305- 3 2.20000+ 1 3.60000+ 1 1.00491- 4 6.17516- 3 2.20000+ 1 4.10000+ 1 2.75353- 4 6.12049- 3 2.20000+ 1 4.30000+ 1 2.24192- 6 6.14407- 3 2.20000+ 1 4.40000+ 1 3.98253- 5 6.15957- 3 2.20000+ 1 5.80000+ 1 2.03081- 5 6.17949- 3 2.40000+ 1 2.40000+ 1 6.22955- 4 5.97866- 3 2.40000+ 1 2.50000+ 1 4.10204- 3 5.99756- 3 2.40000+ 1 2.70000+ 1 8.03627- 4 6.13307- 3 2.40000+ 1 2.90000+ 1 6.19795- 6 6.21112- 3 2.40000+ 1 3.00000+ 1 1.75261- 4 6.31001- 3 2.40000+ 1 3.20000+ 1 8.69047- 5 6.42529- 3 2.40000+ 1 3.30000+ 1 4.36494- 4 6.43989- 3 2.40000+ 1 3.50000+ 1 1.08661- 4 6.56689- 3 2.40000+ 1 3.60000+ 1 2.84313- 4 6.56900- 3 2.40000+ 1 4.10000+ 1 1.37151- 4 6.51433- 3 2.40000+ 1 4.30000+ 1 1.05501- 6 6.53791- 3 2.40000+ 1 4.40000+ 1 2.08361- 5 6.55341- 3 2.40000+ 1 5.80000+ 1 1.00221- 5 6.57333- 3 2.50000+ 1 2.50000+ 1 1.39750- 3 6.01646- 3 2.50000+ 1 2.70000+ 1 9.75470- 4 6.15197- 3 2.50000+ 1 2.90000+ 1 1.31080- 4 6.23002- 3 2.50000+ 1 3.00000+ 1 2.40801- 4 6.32891- 3 2.50000+ 1 3.20000+ 1 5.03100- 4 6.44419- 3 2.50000+ 1 3.30000+ 1 2.83790- 4 6.45879- 3 2.50000+ 1 3.50000+ 1 2.90120- 4 6.58579- 3 2.50000+ 1 3.60000+ 1 2.14681- 4 6.58790- 3 2.50000+ 1 4.10000+ 1 1.66420- 4 6.53323- 3 2.50000+ 1 4.30000+ 1 2.05730- 5 6.55681- 3 2.50000+ 1 4.40000+ 1 2.90120- 5 6.57231- 3 2.50000+ 1 5.80000+ 1 1.22640- 5 6.59223- 3 2.70000+ 1 2.70000+ 1 1.01410- 4 6.28748- 3 2.70000+ 1 2.90000+ 1 1.76840- 4 6.36553- 3 2.70000+ 1 3.00000+ 1 2.50552- 4 6.46442- 3 2.70000+ 1 3.20000+ 1 2.53332- 4 6.57970- 3 2.70000+ 1 3.30000+ 1 3.37332- 4 6.59430- 3 2.70000+ 1 3.50000+ 1 7.87284- 5 6.72130- 3 2.70000+ 1 3.60000+ 1 9.13874- 5 6.72341- 3 2.70000+ 1 4.10000+ 1 3.78482- 5 6.66874- 3 2.70000+ 1 4.30000+ 1 2.88802- 5 6.69232- 3 2.70000+ 1 4.40000+ 1 3.40232- 5 6.70782- 3 2.70000+ 1 5.80000+ 1 2.76932- 6 6.72774- 3 2.90000+ 1 2.90000+ 1 4.35172- 6 6.44358- 3 2.90000+ 1 3.00000+ 1 1.92541- 5 6.54247- 3 2.90000+ 1 3.20000+ 1 6.32984- 6 6.65775- 3 2.90000+ 1 3.30000+ 1 4.48362- 6 6.67235- 3 2.90000+ 1 3.50000+ 1 2.63742- 7 6.79935- 3 2.90000+ 1 3.60000+ 1 8.04454- 6 6.80146- 3 2.90000+ 1 4.10000+ 1 3.11222- 5 6.74679- 3 2.90000+ 1 4.30000+ 1 1.31880- 6 6.77037- 3 2.90000+ 1 4.40000+ 1 2.37372- 6 6.78587- 3 2.90000+ 1 5.80000+ 1 2.24192- 6 6.80579- 3 3.00000+ 1 3.00000+ 1 1.67479- 5 6.64136- 3 3.00000+ 1 3.20000+ 1 3.11218- 5 6.75664- 3 3.00000+ 1 3.30000+ 1 6.32977- 5 6.77124- 3 3.00000+ 1 3.50000+ 1 1.63519- 5 6.89824- 3 3.00000+ 1 3.60000+ 1 1.92538- 5 6.90035- 3 3.00000+ 1 4.10000+ 1 4.40457- 5 6.84568- 3 3.00000+ 1 4.30000+ 1 3.03308- 6 6.86926- 3 3.00000+ 1 4.40000+ 1 4.35167- 6 6.88476- 3 3.00000+ 1 5.80000+ 1 3.29688- 6 6.90468- 3 3.20000+ 1 3.20000+ 1 2.76927- 6 6.87192- 3 3.20000+ 1 3.30000+ 1 4.87924- 6 6.88652- 3 3.20000+ 1 3.50000+ 1 7.51661- 6 7.01352- 3 3.20000+ 1 3.60000+ 1 3.46826- 5 7.01563- 3 3.20000+ 1 4.10000+ 1 4.41764- 5 6.96096- 3 3.20000+ 1 4.30000+ 1 9.23068- 7 6.98454- 3 3.20000+ 1 4.40000+ 1 3.95615- 6 7.00004- 3 3.20000+ 1 5.80000+ 1 3.29686- 6 7.01996- 3 3.30000+ 1 3.30000+ 1 6.32970- 6 6.90112- 3 3.30000+ 1 3.50000+ 1 3.01986- 5 7.02812- 3 3.30000+ 1 3.60000+ 1 2.07036- 5 7.03023- 3 3.30000+ 1 4.10000+ 1 5.86830- 5 6.97556- 3 3.30000+ 1 4.30000+ 1 6.59330- 7 6.99914- 3 3.30000+ 1 4.40000+ 1 8.04437- 6 7.01464- 3 3.30000+ 1 5.80000+ 1 4.35163- 6 7.03456- 3 3.50000+ 1 3.50000+ 1 4.48363- 6 7.15512- 3 3.50000+ 1 3.60000+ 1 2.13632- 5 7.15723- 3 3.50000+ 1 4.10000+ 1 1.34511- 5 7.10256- 3 3.50000+ 1 4.40000+ 1 1.97811- 6 7.14164- 3 3.50000+ 1 5.80000+ 1 9.23086- 7 7.16156- 3 3.60000+ 1 3.60000+ 1 8.17634- 6 7.15934- 3 3.60000+ 1 4.10000+ 1 1.55612- 5 7.10467- 3 3.60000+ 1 4.30000+ 1 1.31882- 6 7.12825- 3 3.60000+ 1 4.40000+ 1 2.37375- 6 7.14375- 3 3.60000+ 1 5.80000+ 1 1.18692- 6 7.16367- 3 4.10000+ 1 4.10000+ 1 3.56042- 6 7.05000- 3 4.10000+ 1 4.30000+ 1 5.14288- 6 7.07358- 3 4.10000+ 1 4.40000+ 1 5.93426- 6 7.08908- 3 4.10000+ 1 5.80000+ 1 5.27458- 7 7.10900- 3 4.30000+ 1 4.30000+ 1 1.31880- 7 7.09716- 3 4.30000+ 1 4.40000+ 1 3.95621- 7 7.11266- 3 4.30000+ 1 5.80000+ 1 3.95621- 7 7.13258- 3 4.40000+ 1 4.40000+ 1 2.63741- 7 7.12816- 3 4.40000+ 1 5.80000+ 1 3.95621- 7 7.14808- 3 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 3.20840- 3 2.02320- 3 1.60000+ 1 1.31260- 3 4.85820- 3 2.10000+ 1 5.64921- 3 5.72220- 3 2.70000+ 1 3.66931- 4 6.33789- 3 3.20000+ 1 1.56720- 3 6.63011- 3 4.10000+ 1 7.37511- 5 6.71915- 3 5.80000+ 1 5.88071- 6 6.77815- 3 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.10000+ 1 1.90000+ 1 7.48125- 3 3.18000- 5 1.10000+ 1 2.10000+ 1 1.29773- 2 3.29600- 4 1.10000+ 1 2.20000+ 1 2.11054- 2 3.97040- 4 1.10000+ 1 2.40000+ 1 2.83036- 2 7.90880- 4 1.10000+ 1 2.50000+ 1 2.17744- 2 8.09780- 4 1.10000+ 1 2.70000+ 1 3.16697- 3 9.45290- 4 1.10000+ 1 2.90000+ 1 5.05020- 3 1.02334- 3 1.10000+ 1 3.00000+ 1 1.48693- 3 1.12223- 3 1.10000+ 1 3.20000+ 1 2.39965- 3 1.23751- 3 1.10000+ 1 3.30000+ 1 3.78457- 3 1.25211- 3 1.10000+ 1 3.50000+ 1 2.12144- 3 1.37911- 3 1.10000+ 1 3.60000+ 1 1.60503- 3 1.38122- 3 1.10000+ 1 4.10000+ 1 5.82752- 4 1.32655- 3 1.10000+ 1 4.30000+ 1 7.33184- 4 1.35013- 3 1.10000+ 1 4.40000+ 1 1.94254- 4 1.36563- 3 1.10000+ 1 5.80000+ 1 4.33169- 5 1.38555- 3 1.30000+ 1 1.60000+ 1 4.92602- 2 9.74000- 5 1.30000+ 1 1.80000+ 1 5.22071- 2 2.84200- 4 1.30000+ 1 1.90000+ 1 2.58586- 2 6.63600- 4 1.30000+ 1 2.10000+ 1 1.67618- 2 9.61400- 4 1.30000+ 1 2.20000+ 1 3.30744- 2 1.02884- 3 1.30000+ 1 2.40000+ 1 1.55118- 1 1.42268- 3 1.30000+ 1 2.50000+ 1 2.45896- 1 1.44158- 3 1.30000+ 1 2.70000+ 1 1.29898- 2 1.57709- 3 1.30000+ 1 2.90000+ 1 1.09928- 2 1.65514- 3 1.30000+ 1 3.00000+ 1 6.36109- 3 1.75403- 3 1.30000+ 1 3.20000+ 1 3.80624- 3 1.86931- 3 1.30000+ 1 3.30000+ 1 7.04779- 3 1.88391- 3 1.30000+ 1 3.50000+ 1 1.09648- 2 2.01091- 3 1.30000+ 1 3.60000+ 1 1.75217- 2 2.01302- 3 1.30000+ 1 4.10000+ 1 2.50966- 3 1.95835- 3 1.30000+ 1 4.30000+ 1 1.72068- 3 1.98193- 3 1.30000+ 1 4.40000+ 1 8.52357- 4 1.99743- 3 1.30000+ 1 5.80000+ 1 1.88367- 4 2.01735- 3 1.40000+ 1 1.60000+ 1 7.20611- 3 3.65500- 4 1.40000+ 1 1.80000+ 1 5.91517- 2 5.52300- 4 1.40000+ 1 1.90000+ 1 4.34783- 3 9.31700- 4 1.40000+ 1 2.10000+ 1 3.19870- 3 1.22950- 3 1.40000+ 1 2.20000+ 1 2.93839- 3 1.29694- 3 1.40000+ 1 2.40000+ 1 9.68158- 3 1.69078- 3 1.40000+ 1 2.50000+ 1 5.31785- 3 1.70968- 3 1.40000+ 1 2.70000+ 1 1.27384- 3 1.84519- 3 1.40000+ 1 2.90000+ 1 9.30267- 3 1.92324- 3 1.40000+ 1 3.00000+ 1 8.93865- 4 2.02213- 3 1.40000+ 1 3.20000+ 1 2.91299- 4 2.13741- 3 1.40000+ 1 3.30000+ 1 5.49516- 4 2.15201- 3 1.40000+ 1 3.50000+ 1 9.73778- 4 2.27901- 3 1.40000+ 1 3.60000+ 1 4.23432- 4 2.28112- 3 1.40000+ 1 4.10000+ 1 2.26646- 4 2.22645- 3 1.40000+ 1 4.30000+ 1 1.35994- 3 2.25003- 3 1.40000+ 1 4.40000+ 1 1.16183- 4 2.26553- 3 1.40000+ 1 5.80000+ 1 1.67895- 5 2.28545- 3 1.60000+ 1 1.60000+ 1 2.90606- 4 2.93240- 3 1.60000+ 1 1.80000+ 1 4.86953- 3 3.11920- 3 1.60000+ 1 1.90000+ 1 5.28503- 4 3.49860- 3 1.60000+ 1 2.10000+ 1 2.36887- 4 3.79640- 3 1.60000+ 1 2.20000+ 1 5.28333- 4 3.86384- 3 1.60000+ 1 2.40000+ 1 6.84981- 5 4.25768- 3 1.60000+ 1 2.50000+ 1 3.69515- 4 4.27658- 3 1.60000+ 1 2.70000+ 1 1.18858- 4 4.41209- 3 1.60000+ 1 2.90000+ 1 7.68080- 4 4.49014- 3 1.60000+ 1 3.00000+ 1 1.20878- 4 4.58903- 3 1.60000+ 1 3.20000+ 1 3.17306- 5 4.70431- 3 1.60000+ 1 3.30000+ 1 9.80448- 5 4.71891- 3 1.60000+ 1 3.50000+ 1 4.70084- 6 4.84591- 3 1.60000+ 1 3.60000+ 1 2.26637- 5 4.84802- 3 1.60000+ 1 4.10000+ 1 2.19937- 5 4.79335- 3 1.60000+ 1 4.30000+ 1 1.12988- 4 4.81693- 3 1.60000+ 1 4.40000+ 1 1.61168- 5 4.83243- 3 1.60000+ 1 5.80000+ 1 1.67888- 6 4.85235- 3 1.80000+ 1 1.80000+ 1 3.86381- 3 3.30600- 3 1.80000+ 1 1.90000+ 1 9.73968- 3 3.68540- 3 1.80000+ 1 2.10000+ 1 9.99347- 3 3.98320- 3 1.80000+ 1 2.20000+ 1 1.53077- 2 4.05064- 3 1.80000+ 1 2.40000+ 1 6.28335- 3 4.44448- 3 1.80000+ 1 2.50000+ 1 9.91837- 3 4.46338- 3 1.80000+ 1 2.70000+ 1 1.32707- 3 4.59889- 3 1.80000+ 1 2.90000+ 1 1.64626- 3 4.67694- 3 1.80000+ 1 3.00000+ 1 2.46494- 3 4.77583- 3 1.80000+ 1 3.20000+ 1 2.15065- 3 4.89111- 3 1.80000+ 1 3.30000+ 1 3.19533- 3 4.90571- 3 1.80000+ 1 3.50000+ 1 6.14286- 4 5.03271- 3 1.80000+ 1 3.60000+ 1 9.18189- 4 5.03482- 3 1.80000+ 1 4.10000+ 1 2.60724- 4 4.98015- 3 1.80000+ 1 4.30000+ 1 2.60394- 4 5.00373- 3 1.80000+ 1 4.40000+ 1 3.33422- 4 5.01923- 3 1.80000+ 1 5.80000+ 1 1.94746- 5 5.03915- 3 1.90000+ 1 1.90000+ 1 2.19427- 4 4.06480- 3 1.90000+ 1 2.10000+ 1 4.78644- 4 4.36260- 3 1.90000+ 1 2.20000+ 1 4.82164- 4 4.43004- 3 1.90000+ 1 2.40000+ 1 3.78415- 3 4.82388- 3 1.90000+ 1 2.50000+ 1 1.07529- 3 4.84278- 3 1.90000+ 1 2.70000+ 1 9.06599- 5 4.97829- 3 1.90000+ 1 2.90000+ 1 1.55908- 3 5.05634- 3 1.90000+ 1 3.00000+ 1 9.36829- 5 5.15523- 3 1.90000+ 1 3.20000+ 1 7.87400- 5 5.27051- 3 1.90000+ 1 3.30000+ 1 9.28449- 5 5.28511- 3 1.90000+ 1 3.50000+ 1 3.00517- 4 5.41211- 3 1.90000+ 1 3.60000+ 1 8.59579- 5 5.41422- 3 1.90000+ 1 4.10000+ 1 1.61168- 5 5.35955- 3 1.90000+ 1 4.30000+ 1 2.30007- 4 5.38313- 3 1.90000+ 1 4.40000+ 1 1.22558- 5 5.39863- 3 1.90000+ 1 5.80000+ 1 1.17518- 6 5.41855- 3 2.10000+ 1 2.10000+ 1 4.15519- 4 4.66040- 3 2.10000+ 1 2.20000+ 1 6.51728- 4 4.72784- 3 2.10000+ 1 2.40000+ 1 4.14849- 4 5.12168- 3 2.10000+ 1 2.50000+ 1 4.36679- 4 5.14058- 3 2.10000+ 1 2.70000+ 1 6.27908- 5 5.27609- 3 2.10000+ 1 2.90000+ 1 1.54380- 3 5.35414- 3 2.10000+ 1 3.00000+ 1 1.16340- 4 5.45303- 3 2.10000+ 1 3.20000+ 1 1.43710- 4 5.56831- 3 2.10000+ 1 3.30000+ 1 1.23900- 4 5.58291- 3 2.10000+ 1 3.50000+ 1 1.93070- 5 5.70991- 3 2.10000+ 1 3.60000+ 1 2.71969- 5 5.71202- 3 2.10000+ 1 4.10000+ 1 1.22560- 5 5.65735- 3 2.10000+ 1 4.30000+ 1 2.25979- 4 5.68093- 3 2.10000+ 1 4.40000+ 1 1.54450- 5 5.69643- 3 2.10000+ 1 5.80000+ 1 1.00730- 6 5.71635- 3 2.20000+ 1 2.20000+ 1 1.74610- 4 4.79528- 3 2.20000+ 1 2.40000+ 1 5.89789- 4 5.18912- 3 2.20000+ 1 2.50000+ 1 1.79310- 4 5.20802- 3 2.20000+ 1 2.70000+ 1 1.10970- 4 5.34353- 3 2.20000+ 1 2.90000+ 1 2.38299- 3 5.42158- 3 2.20000+ 1 3.00000+ 1 9.25058- 5 5.52047- 3 2.20000+ 1 3.20000+ 1 9.14998- 5 5.63575- 3 2.20000+ 1 3.30000+ 1 6.16148- 5 5.65035- 3 2.20000+ 1 3.50000+ 1 2.06499- 5 5.77735- 3 2.20000+ 1 3.60000+ 1 1.00730- 5 5.77946- 3 2.20000+ 1 4.10000+ 1 2.06499- 5 5.72479- 3 2.20000+ 1 4.30000+ 1 3.49209- 4 5.74837- 3 2.20000+ 1 4.40000+ 1 1.19200- 5 5.76387- 3 2.20000+ 1 5.80000+ 1 1.51110- 6 5.78379- 3 2.40000+ 1 2.40000+ 1 1.61275- 3 5.58296- 3 2.40000+ 1 2.50000+ 1 1.02427- 2 5.60186- 3 2.40000+ 1 2.70000+ 1 1.32626- 5 5.73737- 3 2.40000+ 1 2.90000+ 1 8.90794- 4 5.81542- 3 2.40000+ 1 3.00000+ 1 8.98503- 4 5.91431- 3 2.40000+ 1 3.20000+ 1 8.41126- 5 6.02959- 3 2.40000+ 1 3.30000+ 1 1.61675- 4 6.04419- 3 2.40000+ 1 3.50000+ 1 2.54852- 4 6.17119- 3 2.40000+ 1 3.60000+ 1 7.64557- 4 6.17330- 3 2.40000+ 1 4.10000+ 1 2.35033- 6 6.11863- 3 2.40000+ 1 4.30000+ 1 1.29276- 4 6.14221- 3 2.40000+ 1 4.40000+ 1 1.20036- 4 6.15771- 3 2.40000+ 1 5.80000+ 1 1.67885- 7 6.17763- 3 2.50000+ 1 2.50000+ 1 5.29686- 4 5.62076- 3 2.50000+ 1 2.70000+ 1 8.07524- 5 5.75627- 3 2.50000+ 1 2.90000+ 1 1.35369- 3 5.83432- 3 2.50000+ 1 3.00000+ 1 2.23448- 4 5.93321- 3 2.50000+ 1 3.20000+ 1 8.88092- 5 6.04849- 3 2.50000+ 1 3.30000+ 1 3.94537- 5 6.06309- 3 2.50000+ 1 3.50000+ 1 7.76484- 4 6.19009- 3 2.50000+ 1 3.60000+ 1 8.00854- 5 6.19220- 3 2.50000+ 1 4.10000+ 1 1.51109- 5 6.13753- 3 2.50000+ 1 4.30000+ 1 1.92899- 4 6.16111- 3 2.50000+ 1 4.40000+ 1 2.92128- 5 6.17661- 3 2.50000+ 1 5.80000+ 1 1.17519- 6 6.19653- 3 2.70000+ 1 2.70000+ 1 1.20881- 5 5.89178- 3 2.70000+ 1 2.90000+ 1 2.10872- 4 5.96983- 3 2.70000+ 1 3.00000+ 1 2.04821- 5 6.06872- 3 2.70000+ 1 3.20000+ 1 8.05868- 6 6.18400- 3 2.70000+ 1 3.30000+ 1 2.09862- 5 6.19860- 3 2.70000+ 1 3.50000+ 1 8.39428- 7 6.32560- 3 2.70000+ 1 3.60000+ 1 5.03675- 6 6.32771- 3 2.70000+ 1 4.10000+ 1 4.36514- 6 6.27304- 3 2.70000+ 1 4.30000+ 1 3.10603- 5 6.29662- 3 2.70000+ 1 4.40000+ 1 2.68633- 6 6.31212- 3 2.70000+ 1 5.80000+ 1 3.35783- 7 6.33204- 3 2.90000+ 1 2.90000+ 1 1.62848- 4 6.04788- 3 2.90000+ 1 3.00000+ 1 3.97884- 4 6.14677- 3 2.90000+ 1 3.20000+ 1 3.34594- 4 6.26205- 3 2.90000+ 1 3.30000+ 1 5.01642- 4 6.27665- 3 2.90000+ 1 3.50000+ 1 8.67976- 5 6.40365- 3 2.90000+ 1 3.60000+ 1 1.26588- 4 6.40576- 3 2.90000+ 1 4.10000+ 1 4.14674- 5 6.35109- 3 2.90000+ 1 4.30000+ 1 5.07012- 5 6.37467- 3 2.90000+ 1 4.40000+ 1 5.38912- 5 6.39017- 3 2.90000+ 1 5.80000+ 1 3.18975- 6 6.41009- 3 3.00000+ 1 3.00000+ 1 9.90498- 6 6.24566- 3 3.00000+ 1 3.20000+ 1 1.91394- 5 6.36094- 3 3.00000+ 1 3.30000+ 1 1.77964- 5 6.37554- 3 3.00000+ 1 3.50000+ 1 7.15234- 5 6.50254- 3 3.00000+ 1 3.60000+ 1 1.77964- 5 6.50465- 3 3.00000+ 1 4.10000+ 1 3.69357- 6 6.44998- 3 3.00000+ 1 4.30000+ 1 5.87621- 5 6.47356- 3 3.00000+ 1 4.40000+ 1 2.51835- 6 6.48906- 3 3.00000+ 1 5.80000+ 1 3.35786- 7 6.50898- 3 3.20000+ 1 3.20000+ 1 1.17518- 5 6.47622- 3 3.20000+ 1 3.30000+ 1 1.88038- 5 6.49082- 3 3.20000+ 1 3.50000+ 1 4.19715- 6 6.61782- 3 3.20000+ 1 3.60000+ 1 6.21181- 6 6.61993- 3 3.20000+ 1 4.10000+ 1 1.51108- 6 6.56526- 3 3.20000+ 1 4.30000+ 1 4.90223- 5 6.58884- 3 3.20000+ 1 4.40000+ 1 2.51827- 6 6.60434- 3 3.20000+ 1 5.80000+ 1 1.67888- 7 6.62426- 3 3.30000+ 1 3.30000+ 1 5.70812- 6 6.50542- 3 3.30000+ 1 3.50000+ 1 7.05091- 6 6.63242- 3 3.30000+ 1 3.60000+ 1 2.18257- 6 6.63453- 3 3.30000+ 1 4.10000+ 1 3.86145- 6 6.57986- 3 3.30000+ 1 4.30000+ 1 7.35329- 5 6.60344- 3 3.30000+ 1 4.40000+ 1 2.35037- 6 6.61894- 3 3.30000+ 1 5.80000+ 1 3.35775- 7 6.63886- 3 3.50000+ 1 3.50000+ 1 1.00728- 5 6.75942- 3 3.50000+ 1 3.60000+ 1 6.02701- 5 6.76153- 3 3.50000+ 1 4.10000+ 1 1.67888- 7 6.70686- 3 3.50000+ 1 4.30000+ 1 1.25918- 5 6.73044- 3 3.50000+ 1 4.40000+ 1 9.56947- 6 6.74594- 3 3.60000+ 1 3.60000+ 1 3.02204- 6 6.76364- 3 3.60000+ 1 4.10000+ 1 1.00731- 6 6.70897- 3 3.60000+ 1 4.30000+ 1 1.81323- 5 6.73255- 3 3.60000+ 1 4.40000+ 1 2.35043- 6 6.74805- 3 4.10000+ 1 4.10000+ 1 3.35773- 7 6.65430- 3 4.10000+ 1 4.30000+ 1 6.04388- 6 6.67788- 3 4.10000+ 1 4.40000+ 1 5.03660- 7 6.69338- 3 4.30000+ 1 4.30000+ 1 3.86158- 6 6.70146- 3 4.30000+ 1 4.40000+ 1 8.05876- 6 6.71696- 3 4.30000+ 1 5.80000+ 1 5.03680- 7 6.73688- 3 4.40000+ 1 4.40000+ 1 1.67890- 7 6.73246- 3 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 1.34670- 5 6.31800- 4 1.40000+ 1 3.81981- 4 8.99900- 4 1.60000+ 1 3.03441- 3 3.46680- 3 2.10000+ 1 1.34570- 3 4.33080- 3 2.20000+ 1 9.84024- 3 4.39824- 3 2.70000+ 1 7.94033- 4 4.94649- 3 3.20000+ 1 3.17141- 4 5.23871- 3 3.30000+ 1 2.37781- 3 5.25331- 3 4.10000+ 1 1.57791- 4 5.32775- 3 5.80000+ 1 1.25580- 5 5.38675- 3 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.30000+ 1 2.40000+ 1 5.96040- 3 3.12800- 5 1.30000+ 1 2.50000+ 1 8.49655- 3 5.01800- 5 1.30000+ 1 2.70000+ 1 4.45947- 3 1.85690- 4 1.30000+ 1 2.90000+ 1 4.57258- 3 2.63740- 4 1.30000+ 1 3.00000+ 1 1.20862- 2 3.62630- 4 1.30000+ 1 3.20000+ 1 2.45104- 3 4.77910- 4 1.30000+ 1 3.30000+ 1 2.82184- 3 4.92510- 4 1.30000+ 1 3.50000+ 1 9.32568- 4 6.19510- 4 1.30000+ 1 3.60000+ 1 1.58202- 3 6.21620- 4 1.30000+ 1 4.10000+ 1 8.26644- 4 5.66950- 4 1.30000+ 1 4.30000+ 1 7.06502- 4 5.90530- 4 1.30000+ 1 4.40000+ 1 1.52372- 3 6.06030- 4 1.30000+ 1 5.80000+ 1 6.06080- 5 6.25950- 4 1.40000+ 1 2.40000+ 1 2.52963- 1 2.99380- 4 1.40000+ 1 2.50000+ 1 3.03943- 1 3.18280- 4 1.40000+ 1 2.70000+ 1 2.73763- 2 4.53790- 4 1.40000+ 1 2.90000+ 1 3.03923- 2 5.31840- 4 1.40000+ 1 3.00000+ 1 2.75643- 2 6.30730- 4 1.40000+ 1 3.20000+ 1 9.46064- 3 7.46010- 4 1.40000+ 1 3.30000+ 1 1.42341- 2 7.60610- 4 1.40000+ 1 3.50000+ 1 1.34111- 2 8.87610- 4 1.40000+ 1 3.60000+ 1 1.48441- 2 8.89720- 4 1.40000+ 1 4.10000+ 1 5.21556- 3 8.35050- 4 1.40000+ 1 4.30000+ 1 4.74335- 3 8.58630- 4 1.40000+ 1 4.40000+ 1 3.58384- 3 8.74130- 4 1.40000+ 1 5.80000+ 1 3.91304- 4 8.94050- 4 1.60000+ 1 1.60000+ 1 8.84764- 6 1.54100- 3 1.60000+ 1 1.80000+ 1 2.21641- 4 1.72780- 3 1.60000+ 1 1.90000+ 1 7.34012- 3 2.10720- 3 1.60000+ 1 2.10000+ 1 5.38821- 4 2.40500- 3 1.60000+ 1 2.20000+ 1 7.54492- 4 2.47244- 3 1.60000+ 1 2.40000+ 1 2.80981- 3 2.86628- 3 1.60000+ 1 2.50000+ 1 5.07512- 3 2.88518- 3 1.60000+ 1 2.70000+ 1 9.95388- 6 3.02069- 3 1.60000+ 1 2.90000+ 1 2.12351- 5 3.09874- 3 1.60000+ 1 3.00000+ 1 1.12850- 3 3.19763- 3 1.60000+ 1 3.20000+ 1 9.35645- 5 3.31291- 3 1.60000+ 1 3.30000+ 1 1.29390- 4 3.32751- 3 1.60000+ 1 3.50000+ 1 1.93321- 4 3.45451- 3 1.60000+ 1 3.60000+ 1 3.28251- 4 3.45662- 3 1.60000+ 1 4.10000+ 1 2.21191- 6 3.40195- 3 1.60000+ 1 4.30000+ 1 2.87551- 6 3.42553- 3 1.60000+ 1 4.40000+ 1 1.38690- 4 3.44103- 3 1.60000+ 1 5.80000+ 1 2.21191- 7 3.46095- 3 1.80000+ 1 1.80000+ 1 1.57054- 5 1.91460- 3 1.80000+ 1 1.90000+ 1 9.53229- 3 2.29400- 3 1.80000+ 1 2.10000+ 1 2.62787- 4 2.59180- 3 1.80000+ 1 2.20000+ 1 2.40387- 3 2.65924- 3 1.80000+ 1 2.40000+ 1 1.33504- 3 3.05308- 3 1.80000+ 1 2.50000+ 1 5.98816- 3 3.07198- 3 1.80000+ 1 2.70000+ 1 6.03866- 5 3.20749- 3 1.80000+ 1 2.90000+ 1 1.08383- 5 3.28554- 3 1.80000+ 1 3.00000+ 1 1.51874- 3 3.38443- 3 1.80000+ 1 3.20000+ 1 5.64055- 5 3.49971- 3 1.80000+ 1 3.30000+ 1 4.03461- 4 3.51431- 3 1.80000+ 1 3.50000+ 1 7.54280- 5 3.64131- 3 1.80000+ 1 3.60000+ 1 3.54810- 4 3.64342- 3 1.80000+ 1 4.10000+ 1 1.15023- 5 3.58875- 3 1.80000+ 1 4.30000+ 1 1.76964- 6 3.61233- 3 1.80000+ 1 4.40000+ 1 1.88015- 4 3.62783- 3 1.80000+ 1 5.80000+ 1 8.84785- 7 3.64775- 3 1.90000+ 1 1.90000+ 1 1.14918- 2 2.67340- 3 1.90000+ 1 2.10000+ 1 1.73737- 2 2.97120- 3 1.90000+ 1 2.20000+ 1 2.22467- 2 3.03864- 3 1.90000+ 1 2.40000+ 1 1.69907- 2 3.43248- 3 1.90000+ 1 2.50000+ 1 1.92748- 2 3.45138- 3 1.90000+ 1 2.70000+ 1 1.98368- 3 3.58689- 3 1.90000+ 1 2.90000+ 1 2.40477- 3 3.66494- 3 1.90000+ 1 3.00000+ 1 4.69213- 3 3.76383- 3 1.90000+ 1 3.20000+ 1 3.56915- 3 3.87911- 3 1.90000+ 1 3.30000+ 1 4.55744- 3 3.89371- 3 1.90000+ 1 3.50000+ 1 1.52828- 3 4.02071- 3 1.90000+ 1 3.60000+ 1 1.65717- 3 4.02282- 3 1.90000+ 1 4.10000+ 1 3.88194- 4 3.96815- 3 1.90000+ 1 4.30000+ 1 3.89304- 4 3.99173- 3 1.90000+ 1 4.40000+ 1 6.13361- 4 4.00723- 3 1.90000+ 1 5.80000+ 1 2.91975- 5 4.02715- 3 2.10000+ 1 2.10000+ 1 1.30062- 4 3.26900- 3 2.10000+ 1 2.20000+ 1 2.99695- 3 3.33644- 3 2.10000+ 1 2.40000+ 1 5.12730- 4 3.73028- 3 2.10000+ 1 2.50000+ 1 5.68411- 3 3.74918- 3 2.10000+ 1 2.70000+ 1 6.96773- 5 3.88469- 3 2.10000+ 1 2.90000+ 1 9.51192- 6 3.96274- 3 2.10000+ 1 3.00000+ 1 2.67995- 3 4.06163- 3 2.10000+ 1 3.20000+ 1 4.37968- 5 4.17691- 3 2.10000+ 1 3.30000+ 1 5.29100- 4 4.19151- 3 2.10000+ 1 3.50000+ 1 3.76037- 5 4.31851- 3 2.10000+ 1 3.60000+ 1 2.80475- 4 4.32062- 3 2.10000+ 1 4.10000+ 1 1.15022- 5 4.26595- 3 2.10000+ 1 4.30000+ 1 1.32713- 6 4.28953- 3 2.10000+ 1 4.40000+ 1 3.29367- 4 4.30503- 3 2.10000+ 1 5.80000+ 1 8.84778- 7 4.32495- 3 2.20000+ 1 2.20000+ 1 1.25131- 3 3.40388- 3 2.20000+ 1 2.40000+ 1 4.34272- 3 3.79772- 3 2.20000+ 1 2.50000+ 1 3.49242- 3 3.81662- 3 2.20000+ 1 2.70000+ 1 1.10381- 4 3.95213- 3 2.20000+ 1 2.90000+ 1 2.24732- 4 4.03018- 3 2.20000+ 1 3.00000+ 1 3.38273- 3 4.12907- 3 2.20000+ 1 3.20000+ 1 5.17593- 4 4.24435- 3 2.20000+ 1 3.30000+ 1 4.46822- 4 4.25895- 3 2.20000+ 1 3.50000+ 1 2.91752- 4 4.38595- 3 2.20000+ 1 3.60000+ 1 2.22082- 4 4.38806- 3 2.20000+ 1 4.10000+ 1 1.90221- 5 4.33339- 3 2.20000+ 1 4.30000+ 1 2.96392- 5 4.35697- 3 2.20000+ 1 4.40000+ 1 4.14522- 4 4.37247- 3 2.20000+ 1 5.80000+ 1 1.32711- 6 4.39239- 3 2.40000+ 1 2.40000+ 1 7.91658- 4 4.19156- 3 2.40000+ 1 2.50000+ 1 2.03013- 2 4.21046- 3 2.40000+ 1 2.70000+ 1 3.03043- 4 4.34597- 3 2.40000+ 1 2.90000+ 1 2.62343- 4 4.42402- 3 2.40000+ 1 3.00000+ 1 2.48253- 3 4.52291- 3 2.40000+ 1 3.20000+ 1 1.21871- 4 4.63819- 3 2.40000+ 1 3.30000+ 1 8.30789- 4 4.65279- 3 2.40000+ 1 3.50000+ 1 1.21871- 4 4.77979- 3 2.40000+ 1 3.60000+ 1 1.34791- 3 4.78190- 3 2.40000+ 1 4.10000+ 1 4.99905- 5 4.72723- 3 2.40000+ 1 4.30000+ 1 4.02574- 5 4.75081- 3 2.40000+ 1 4.40000+ 1 3.02823- 4 4.76631- 3 2.40000+ 1 5.80000+ 1 3.76034- 6 4.78623- 3 2.50000+ 1 2.50000+ 1 8.08888- 3 4.22936- 3 2.50000+ 1 2.70000+ 1 5.52759- 4 4.36487- 3 2.50000+ 1 2.90000+ 1 1.14310- 3 4.44292- 3 2.50000+ 1 3.00000+ 1 2.96269- 3 4.54181- 3 2.50000+ 1 3.20000+ 1 1.14670- 3 4.65709- 3 2.50000+ 1 3.30000+ 1 7.32149- 4 4.67169- 3 2.50000+ 1 3.50000+ 1 1.35790- 3 4.79869- 3 2.50000+ 1 3.60000+ 1 1.09320- 3 4.80080- 3 2.50000+ 1 4.10000+ 1 9.02480- 5 4.74613- 3 2.50000+ 1 4.30000+ 1 1.75619- 4 4.76971- 3 2.50000+ 1 4.40000+ 1 3.67189- 4 4.78521- 3 2.50000+ 1 5.80000+ 1 6.63578- 6 4.80513- 3 2.70000+ 1 2.70000+ 1 1.32710- 6 4.50038- 3 2.70000+ 1 2.90000+ 1 7.07821- 6 4.57843- 3 2.70000+ 1 3.00000+ 1 3.07460- 4 4.67732- 3 2.70000+ 1 3.20000+ 1 1.34930- 5 4.79260- 3 2.70000+ 1 3.30000+ 1 2.03501- 5 4.80720- 3 2.70000+ 1 3.50000+ 1 2.03501- 5 4.93420- 3 2.70000+ 1 3.60000+ 1 3.56121- 5 4.93631- 3 2.70000+ 1 4.10000+ 1 4.42390- 7 4.88164- 3 2.70000+ 1 4.30000+ 1 8.84762- 7 4.90522- 3 2.70000+ 1 4.40000+ 1 3.78240- 5 4.92072- 3 2.90000+ 1 2.90000+ 1 6.63586- 7 4.65648- 3 2.90000+ 1 3.00000+ 1 3.85544- 4 4.75537- 3 2.90000+ 1 3.20000+ 1 1.99082- 6 4.87065- 3 2.90000+ 1 3.30000+ 1 4.07004- 5 4.88525- 3 2.90000+ 1 3.50000+ 1 1.81381- 5 5.01225- 3 2.90000+ 1 3.60000+ 1 7.94087- 5 5.01436- 3 2.90000+ 1 4.10000+ 1 1.32711- 6 4.95969- 3 2.90000+ 1 4.30000+ 1 2.21192- 7 4.98327- 3 2.90000+ 1 4.40000+ 1 4.77785- 5 4.99877- 3 3.00000+ 1 3.00000+ 1 4.49911- 4 4.85426- 3 3.00000+ 1 3.20000+ 1 5.53650- 4 4.96954- 3 3.00000+ 1 3.30000+ 1 6.95430- 4 4.98414- 3 3.00000+ 1 3.50000+ 1 2.23401- 4 5.11114- 3 3.00000+ 1 3.60000+ 1 2.51060- 4 5.11325- 3 3.00000+ 1 4.10000+ 1 6.03851- 5 5.05858- 3 3.00000+ 1 4.30000+ 1 6.25971- 5 5.08216- 3 3.00000+ 1 4.40000+ 1 1.16350- 4 5.09766- 3 3.00000+ 1 5.80000+ 1 4.42390- 6 5.11758- 3 3.20000+ 1 3.20000+ 1 3.76036- 6 5.08482- 3 3.20000+ 1 3.30000+ 1 1.00202- 4 5.09942- 3 3.20000+ 1 3.50000+ 1 7.96313- 6 5.22642- 3 3.20000+ 1 3.60000+ 1 6.14931- 5 5.22853- 3 3.20000+ 1 4.10000+ 1 2.21194- 6 5.17386- 3 3.20000+ 1 4.30000+ 1 2.21194- 7 5.19744- 3 3.20000+ 1 4.40000+ 1 6.81281- 5 5.21294- 3 3.20000+ 1 5.80000+ 1 2.21194- 7 5.23286- 3 3.30000+ 1 3.30000+ 1 4.26909- 5 5.11402- 3 3.30000+ 1 3.50000+ 1 5.99439- 5 5.24102- 3 3.30000+ 1 3.60000+ 1 4.77780- 5 5.24313- 3 3.30000+ 1 4.10000+ 1 3.53900- 6 5.18846- 3 3.30000+ 1 4.30000+ 1 5.52989- 6 5.21204- 3 3.30000+ 1 4.40000+ 1 8.51580- 5 5.22754- 3 3.30000+ 1 5.80000+ 1 2.21190- 7 5.24746- 3 3.50000+ 1 3.50000+ 1 4.64519- 6 5.36802- 3 3.50000+ 1 3.60000+ 1 9.66631- 5 5.37013- 3 3.50000+ 1 4.10000+ 1 3.31796- 6 5.31546- 3 3.50000+ 1 4.30000+ 1 2.87555- 6 5.33904- 3 3.50000+ 1 4.40000+ 1 2.72075- 5 5.35454- 3 3.50000+ 1 5.80000+ 1 2.21194- 7 5.37446- 3 3.60000+ 1 3.60000+ 1 3.82674- 5 5.37224- 3 3.60000+ 1 4.10000+ 1 5.75115- 6 5.31757- 3 3.60000+ 1 4.30000+ 1 1.23871- 5 5.34115- 3 3.60000+ 1 4.40000+ 1 3.09673- 5 5.35665- 3 3.60000+ 1 5.80000+ 1 4.42394- 7 5.37657- 3 4.10000+ 1 4.30000+ 1 2.21194- 7 5.28648- 3 4.10000+ 1 4.40000+ 1 7.52073- 6 5.30198- 3 4.30000+ 1 4.40000+ 1 7.74183- 6 5.32556- 3 4.40000+ 1 4.40000+ 1 7.52065- 6 5.34106- 3 4.40000+ 1 5.80000+ 1 6.63584- 7 5.36098- 3 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 2.80591- 3 3.02180- 3 1.90000+ 1 2.16911- 4 3.40120- 3 2.40000+ 1 5.89352- 2 4.16028- 3 2.90000+ 1 6.70792- 4 4.39274- 3 3.00000+ 1 5.23962- 5 4.49163- 3 3.50000+ 1 5.53242- 3 4.74851- 3 4.30000+ 1 1.11100- 4 4.71953- 3 4.40000+ 1 7.41272- 6 4.73503- 3 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.30000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.40000+ 1 3.00000+ 1 3.72444- 3 0.00000+ 0 1.40000+ 1 3.20000+ 1 4.40554- 2 1.14210- 4 1.40000+ 1 3.30000+ 1 6.28957- 3 1.28810- 4 1.40000+ 1 3.50000+ 1 3.81304- 2 2.55810- 4 1.40000+ 1 3.60000+ 1 3.93604- 3 2.57920- 4 1.40000+ 1 4.10000+ 1 8.51479- 4 2.03250- 4 1.40000+ 1 4.30000+ 1 3.85484- 4 2.26830- 4 1.40000+ 1 4.40000+ 1 7.04587- 4 2.42330- 4 1.40000+ 1 5.80000+ 1 6.28767- 5 2.62250- 4 1.60000+ 1 1.80000+ 1 5.80586- 4 1.09600- 3 1.60000+ 1 1.90000+ 1 6.42886- 4 1.47540- 3 1.60000+ 1 2.10000+ 1 2.51653- 2 1.77320- 3 1.60000+ 1 2.20000+ 1 3.09173- 3 1.84064- 3 1.60000+ 1 2.40000+ 1 1.64802- 2 2.23448- 3 1.60000+ 1 2.50000+ 1 3.34193- 3 2.25338- 3 1.60000+ 1 2.70000+ 1 1.29281- 5 2.38889- 3 1.60000+ 1 2.90000+ 1 1.29281- 4 2.46694- 3 1.60000+ 1 3.00000+ 1 1.04601- 4 2.56583- 3 1.60000+ 1 3.20000+ 1 3.43283- 3 2.68111- 3 1.60000+ 1 3.30000+ 1 4.59544- 4 2.69571- 3 1.60000+ 1 3.50000+ 1 1.04301- 3 2.82271- 3 1.60000+ 1 3.60000+ 1 1.63952- 4 2.82482- 3 1.60000+ 1 4.10000+ 1 2.93813- 6 2.77015- 3 1.60000+ 1 4.30000+ 1 2.05682- 5 2.79373- 3 1.60000+ 1 4.40000+ 1 1.29281- 5 2.80923- 3 1.80000+ 1 1.80000+ 1 1.55719- 4 1.28280- 3 1.80000+ 1 1.90000+ 1 2.64500- 3 1.66220- 3 1.80000+ 1 2.10000+ 1 2.28240- 2 1.96000- 3 1.80000+ 1 2.20000+ 1 1.11060- 3 2.02744- 3 1.80000+ 1 2.40000+ 1 1.39419- 2 2.42128- 3 1.80000+ 1 2.50000+ 1 8.32970- 3 2.44018- 3 1.80000+ 1 2.70000+ 1 6.93409- 5 2.57569- 3 1.80000+ 1 2.90000+ 1 8.40310- 5 2.65374- 3 1.80000+ 1 3.00000+ 1 4.81869- 4 2.75263- 3 1.80000+ 1 3.20000+ 1 3.07050- 3 2.86791- 3 1.80000+ 1 3.30000+ 1 1.83930- 4 2.88251- 3 1.80000+ 1 3.50000+ 1 8.53830- 4 3.00951- 3 1.80000+ 1 3.60000+ 1 5.17710- 4 3.01162- 3 1.80000+ 1 4.10000+ 1 1.17530- 5 2.95695- 3 1.80000+ 1 4.30000+ 1 1.35160- 5 2.98053- 3 1.80000+ 1 4.40000+ 1 6.11140- 5 2.99603- 3 1.80000+ 1 5.80000+ 1 5.87640- 7 3.01595- 3 1.90000+ 1 1.90000+ 1 9.07901- 4 2.04160- 3 1.90000+ 1 2.10000+ 1 4.19820- 2 2.33940- 3 1.90000+ 1 2.20000+ 1 1.58950- 3 2.40684- 3 1.90000+ 1 2.40000+ 1 1.40860- 3 2.80068- 3 1.90000+ 1 2.50000+ 1 1.36860- 3 2.81958- 3 1.90000+ 1 2.70000+ 1 1.26930- 4 2.95509- 3 1.90000+ 1 2.90000+ 1 3.99010- 4 3.03314- 3 1.90000+ 1 3.00000+ 1 3.14970- 4 3.13203- 3 1.90000+ 1 3.20000+ 1 5.72011- 3 3.24731- 3 1.90000+ 1 3.30000+ 1 2.50340- 4 3.26191- 3 1.90000+ 1 3.50000+ 1 6.46400- 5 3.38891- 3 1.90000+ 1 3.60000+ 1 5.87641- 5 3.39102- 3 1.90000+ 1 4.10000+ 1 2.29170- 5 3.33635- 3 1.90000+ 1 4.30000+ 1 5.81761- 5 3.35993- 3 1.90000+ 1 4.40000+ 1 3.99580- 5 3.37543- 3 1.90000+ 1 5.80000+ 1 1.76291- 6 3.39535- 3 2.10000+ 1 2.10000+ 1 3.94645- 2 2.63720- 3 2.10000+ 1 2.20000+ 1 7.61820- 2 2.70464- 3 2.10000+ 1 2.40000+ 1 4.79196- 2 3.09848- 3 2.10000+ 1 2.50000+ 1 5.59138- 2 3.11738- 3 2.10000+ 1 2.70000+ 1 6.04318- 3 3.25289- 3 2.10000+ 1 2.90000+ 1 5.81408- 3 3.33094- 3 2.10000+ 1 3.00000+ 1 1.02901- 2 3.42983- 3 2.10000+ 1 3.20000+ 1 1.36121- 2 3.54511- 3 2.10000+ 1 3.30000+ 1 1.54312- 2 3.55971- 3 2.10000+ 1 3.50000+ 1 4.32325- 3 3.68671- 3 2.10000+ 1 3.60000+ 1 4.91027- 3 3.68882- 3 2.10000+ 1 4.10000+ 1 1.16351- 3 3.63415- 3 2.10000+ 1 4.30000+ 1 9.43702- 4 3.65773- 3 2.10000+ 1 4.40000+ 1 1.38271- 3 3.67323- 3 2.10000+ 1 5.80000+ 1 8.69712- 5 3.69315- 3 2.20000+ 1 2.20000+ 1 1.19061- 3 2.77208- 3 2.20000+ 1 2.40000+ 1 5.80996- 2 3.16592- 3 2.20000+ 1 2.50000+ 1 2.63623- 3 3.18482- 3 2.20000+ 1 2.70000+ 1 3.34943- 4 3.32033- 3 2.20000+ 1 2.90000+ 1 1.41621- 4 3.39838- 3 2.20000+ 1 3.00000+ 1 3.06173- 4 3.49727- 3 2.20000+ 1 3.20000+ 1 1.03921- 2 3.61255- 3 2.20000+ 1 3.30000+ 1 3.87844- 4 3.62715- 3 2.20000+ 1 3.50000+ 1 4.72524- 3 3.75415- 3 2.20000+ 1 3.60000+ 1 1.88042- 4 3.75626- 3 2.20000+ 1 4.10000+ 1 5.58256- 5 3.70159- 3 2.20000+ 1 4.30000+ 1 2.05682- 5 3.72517- 3 2.20000+ 1 4.40000+ 1 3.93714- 5 3.74067- 3 2.20000+ 1 5.80000+ 1 4.11334- 6 3.76059- 3 2.40000+ 1 2.40000+ 1 5.80054- 2 3.55976- 3 2.40000+ 1 2.50000+ 1 1.64789- 1 3.57866- 3 2.40000+ 1 2.70000+ 1 4.28255- 3 3.71417- 3 2.40000+ 1 2.90000+ 1 2.66787- 3 3.79222- 3 2.40000+ 1 3.00000+ 1 3.44946- 4 3.89111- 3 2.40000+ 1 3.20000+ 1 7.24182- 3 4.00639- 3 2.40000+ 1 3.30000+ 1 1.11208- 2 4.02099- 3 2.40000+ 1 3.50000+ 1 9.08110- 3 4.14799- 3 2.40000+ 1 3.60000+ 1 1.35338- 2 4.15010- 3 2.40000+ 1 4.10000+ 1 8.32681- 4 4.09543- 3 2.40000+ 1 4.30000+ 1 4.21325- 4 4.11901- 3 2.40000+ 1 4.40000+ 1 4.64214- 5 4.13451- 3 2.40000+ 1 5.80000+ 1 6.34643- 5 4.15443- 3 2.50000+ 1 2.50000+ 1 3.37366- 3 3.59756- 3 2.50000+ 1 2.70000+ 1 5.92923- 4 3.73307- 3 2.50000+ 1 2.90000+ 1 7.98580- 4 3.81112- 3 2.50000+ 1 3.00000+ 1 2.99677- 4 3.91001- 3 2.50000+ 1 3.20000+ 1 6.88292- 3 4.02529- 3 2.50000+ 1 3.30000+ 1 4.66564- 4 4.03989- 3 2.50000+ 1 3.50000+ 1 1.11978- 2 4.16689- 3 2.50000+ 1 3.60000+ 1 5.03004- 4 4.16900- 3 2.50000+ 1 4.10000+ 1 1.05188- 4 4.11433- 3 2.50000+ 1 4.30000+ 1 1.08718- 4 4.13791- 3 2.50000+ 1 4.40000+ 1 3.93705- 5 4.15341- 3 2.50000+ 1 5.80000+ 1 7.63911- 6 4.17333- 3 2.70000+ 1 2.70000+ 1 1.17530- 6 3.86858- 3 2.70000+ 1 2.90000+ 1 1.88042- 5 3.94663- 3 2.70000+ 1 3.00000+ 1 2.11552- 5 4.04552- 3 2.70000+ 1 3.20000+ 1 8.30926- 4 4.16080- 3 2.70000+ 1 3.30000+ 1 5.64134- 5 4.17540- 3 2.70000+ 1 3.50000+ 1 2.90882- 4 4.30240- 3 2.70000+ 1 3.60000+ 1 3.87842- 5 4.30451- 3 2.70000+ 1 4.10000+ 1 5.87644- 7 4.24984- 3 2.70000+ 1 4.30000+ 1 2.93812- 6 4.27342- 3 2.70000+ 1 4.40000+ 1 2.93812- 6 4.28892- 3 2.90000+ 1 2.90000+ 1 1.11654- 5 4.02468- 3 2.90000+ 1 3.00000+ 1 7.93330- 5 4.12357- 3 2.90000+ 1 3.20000+ 1 7.87450- 4 4.23885- 3 2.90000+ 1 3.30000+ 1 2.82071- 5 4.25345- 3 2.90000+ 1 3.50000+ 1 1.70417- 4 4.38045- 3 2.90000+ 1 3.60000+ 1 5.28900- 5 4.38256- 3 2.90000+ 1 4.10000+ 1 3.52583- 6 4.32789- 3 2.90000+ 1 4.30000+ 1 3.52583- 6 4.35147- 3 2.90000+ 1 4.40000+ 1 9.98978- 6 4.36697- 3 3.00000+ 1 3.00000+ 1 2.82070- 5 4.22246- 3 3.00000+ 1 3.20000+ 1 1.41155- 3 4.33774- 3 3.00000+ 1 3.30000+ 1 5.17119- 5 4.35234- 3 3.00000+ 1 3.50000+ 1 1.93927- 5 4.47934- 3 3.00000+ 1 3.60000+ 1 1.29284- 5 4.48145- 3 3.00000+ 1 4.10000+ 1 4.11344- 6 4.42678- 3 3.00000+ 1 4.30000+ 1 1.17534- 5 4.45036- 3 3.00000+ 1 4.40000+ 1 7.05185- 6 4.46586- 3 3.20000+ 1 3.20000+ 1 1.11650- 3 4.45302- 3 3.20000+ 1 3.30000+ 1 2.11951- 3 4.46762- 3 3.20000+ 1 3.50000+ 1 6.50503- 4 4.59462- 3 3.20000+ 1 3.60000+ 1 6.13493- 4 4.59673- 3 3.20000+ 1 4.10000+ 1 1.59840- 4 4.54206- 3 3.20000+ 1 4.30000+ 1 1.28100- 4 4.56564- 3 3.20000+ 1 4.40000+ 1 1.89811- 4 4.58114- 3 3.20000+ 1 5.80000+ 1 1.17530- 5 4.60106- 3 3.30000+ 1 3.30000+ 1 3.11456- 5 4.48222- 3 3.30000+ 1 3.50000+ 1 9.16709- 4 4.60922- 3 3.30000+ 1 3.60000+ 1 3.40816- 5 4.61133- 3 3.30000+ 1 4.10000+ 1 9.40228- 6 4.55666- 3 3.30000+ 1 4.30000+ 1 4.11325- 6 4.58024- 3 3.30000+ 1 4.40000+ 1 6.46392- 6 4.59574- 3 3.30000+ 1 5.80000+ 1 5.87633- 7 4.61566- 3 3.50000+ 1 3.50000+ 1 3.42010- 4 4.73622- 3 3.50000+ 1 3.60000+ 1 9.42011- 4 4.73833- 3 3.50000+ 1 4.10000+ 1 5.70001- 5 4.68366- 3 3.50000+ 1 4.30000+ 1 2.70310- 5 4.70724- 3 3.50000+ 1 4.40000+ 1 2.93810- 6 4.72274- 3 3.50000+ 1 5.80000+ 1 4.11330- 6 4.74266- 3 3.60000+ 1 3.60000+ 1 1.82172- 5 4.74044- 3 3.60000+ 1 4.10000+ 1 7.05166- 6 4.68577- 3 3.60000+ 1 4.30000+ 1 7.05166- 6 4.70935- 3 3.60000+ 1 4.40000+ 1 1.76292- 6 4.72485- 3 3.60000+ 1 5.80000+ 1 5.87646- 7 4.74477- 3 4.10000+ 1 4.30000+ 1 5.87652- 7 4.65468- 3 4.10000+ 1 4.40000+ 1 5.87652- 7 4.67018- 3 4.30000+ 1 4.40000+ 1 1.76291- 6 4.69376- 3 4.40000+ 1 4.40000+ 1 5.87642- 7 4.70926- 3 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 1.69639- 3 3.13310- 3 2.40000+ 1 2.77129- 3 3.89218- 3 2.50000+ 1 5.43027- 2 3.91108- 3 3.00000+ 1 4.07048- 4 4.22353- 3 3.50000+ 1 2.53349- 4 4.48041- 3 3.60000+ 1 4.87368- 3 4.48252- 3 4.40000+ 1 5.75497- 5 4.46693- 3 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.60000+ 1 1.60000+ 1 7.14102- 5 6.41100- 4 1.60000+ 1 1.80000+ 1 3.92435- 4 8.27900- 4 1.60000+ 1 1.90000+ 1 1.26649- 3 1.20730- 3 1.60000+ 1 2.10000+ 1 3.15856- 3 1.50510- 3 1.60000+ 1 2.20000+ 1 2.89367- 2 1.57254- 3 1.60000+ 1 2.40000+ 1 3.95795- 3 1.96638- 3 1.60000+ 1 2.50000+ 1 1.75208- 2 1.98528- 3 1.60000+ 1 2.70000+ 1 2.86847- 5 2.12079- 3 1.60000+ 1 2.90000+ 1 3.96715- 5 2.19884- 3 1.60000+ 1 3.00000+ 1 2.11788- 4 2.29773- 3 1.60000+ 1 3.20000+ 1 4.23565- 4 2.41301- 3 1.60000+ 1 3.30000+ 1 3.91395- 3 2.42761- 3 1.60000+ 1 3.50000+ 1 1.86758- 4 2.55461- 3 1.60000+ 1 3.60000+ 1 9.61909- 4 2.55672- 3 1.60000+ 1 4.10000+ 1 6.10343- 6 2.50205- 3 1.60000+ 1 4.30000+ 1 6.10343- 6 2.52563- 3 1.60000+ 1 4.40000+ 1 2.62447- 5 2.54113- 3 1.60000+ 1 5.80000+ 1 6.10343- 7 2.56105- 3 1.80000+ 1 1.80000+ 1 4.27230- 5 1.01470- 3 1.80000+ 1 1.90000+ 1 4.37120- 3 1.39410- 3 1.80000+ 1 2.10000+ 1 2.26430- 4 1.69190- 3 1.80000+ 1 2.20000+ 1 2.93670- 2 1.75934- 3 1.80000+ 1 2.40000+ 1 2.46930- 3 2.15318- 3 1.80000+ 1 2.50000+ 1 1.20110- 2 2.17208- 3 1.80000+ 1 2.70000+ 1 4.39450- 5 2.30759- 3 1.80000+ 1 2.90000+ 1 9.76510- 6 2.38564- 3 1.80000+ 1 3.00000+ 1 7.33620- 4 2.48453- 3 1.80000+ 1 3.20000+ 1 6.10350- 6 2.59981- 3 1.80000+ 1 3.30000+ 1 3.94530- 3 2.61441- 3 1.80000+ 1 3.50000+ 1 1.46480- 4 2.74141- 3 1.80000+ 1 3.60000+ 1 6.58550- 4 2.74352- 3 1.80000+ 1 4.10000+ 1 7.32410- 6 2.68885- 3 1.80000+ 1 4.30000+ 1 1.22070- 6 2.71243- 3 1.80000+ 1 4.40000+ 1 9.21610- 5 2.72793- 3 1.80000+ 1 5.80000+ 1 6.10350- 7 2.74785- 3 1.90000+ 1 1.90000+ 1 2.43090- 3 1.77350- 3 1.90000+ 1 2.10000+ 1 2.54380- 3 2.07130- 3 1.90000+ 1 2.20000+ 1 4.09040- 2 2.13874- 3 1.90000+ 1 2.40000+ 1 1.69730- 3 2.53258- 3 1.90000+ 1 2.50000+ 1 2.39310- 3 2.55148- 3 1.90000+ 1 2.70000+ 1 2.64880- 4 2.68699- 3 1.90000+ 1 2.90000+ 1 5.74920- 4 2.76504- 3 1.90000+ 1 3.00000+ 1 8.28230- 4 2.86393- 3 1.90000+ 1 3.20000+ 1 4.42500- 4 2.97921- 3 1.90000+ 1 3.30000+ 1 5.45770- 3 2.99381- 3 1.90000+ 1 3.50000+ 1 7.99540- 5 3.12081- 3 1.90000+ 1 3.60000+ 1 1.01930- 4 3.12292- 3 1.90000+ 1 4.10000+ 1 4.94390- 5 3.06825- 3 1.90000+ 1 4.30000+ 1 8.30070- 5 3.09183- 3 1.90000+ 1 4.40000+ 1 1.04370- 4 3.10733- 3 1.90000+ 1 5.80000+ 1 3.66190- 6 3.12725- 3 2.10000+ 1 2.10000+ 1 5.71869- 4 2.36910- 3 2.10000+ 1 2.20000+ 1 5.89909- 2 2.43654- 3 2.10000+ 1 2.40000+ 1 2.52560- 3 2.83038- 3 2.10000+ 1 2.50000+ 1 3.50449- 2 2.84928- 3 2.10000+ 1 2.70000+ 1 3.13710- 4 2.98479- 3 2.10000+ 1 2.90000+ 1 7.01879- 5 3.06284- 3 2.10000+ 1 3.00000+ 1 4.37609- 4 3.16173- 3 2.10000+ 1 3.20000+ 1 1.77610- 4 3.27701- 3 2.10000+ 1 3.30000+ 1 7.98509- 3 3.29161- 3 2.10000+ 1 3.50000+ 1 1.99580- 4 3.41861- 3 2.10000+ 1 3.60000+ 1 2.75150- 3 3.42072- 3 2.10000+ 1 4.10000+ 1 5.06589- 5 3.36605- 3 2.10000+ 1 4.30000+ 1 1.09860- 5 3.38963- 3 2.10000+ 1 4.40000+ 1 5.55419- 5 3.40513- 3 2.10000+ 1 5.80000+ 1 3.66189- 6 3.42505- 3 2.20000+ 1 2.20000+ 1 6.43931- 2 2.50398- 3 2.20000+ 1 2.40000+ 1 5.55981- 2 2.89782- 3 2.20000+ 1 2.50000+ 1 8.98131- 2 2.91672- 3 2.20000+ 1 2.70000+ 1 6.51061- 3 3.05223- 3 2.20000+ 1 2.90000+ 1 7.08861- 3 3.13028- 3 2.20000+ 1 3.00000+ 1 1.01160- 2 3.22917- 3 2.20000+ 1 3.20000+ 1 1.19250- 2 3.34445- 3 2.20000+ 1 3.30000+ 1 2.17430- 2 3.35905- 3 2.20000+ 1 3.50000+ 1 4.99251- 3 3.48605- 3 2.20000+ 1 3.60000+ 1 7.47131- 3 3.48816- 3 2.20000+ 1 4.10000+ 1 1.24450- 3 3.43349- 3 2.20000+ 1 4.30000+ 1 1.13830- 3 3.45707- 3 2.20000+ 1 4.40000+ 1 1.36160- 3 3.47257- 3 2.20000+ 1 5.80000+ 1 9.27711- 5 3.49249- 3 2.40000+ 1 2.40000+ 1 5.11154- 3 3.29166- 3 2.40000+ 1 2.50000+ 1 1.61928- 1 3.31056- 3 2.40000+ 1 2.70000+ 1 8.01370- 4 3.44607- 3 2.40000+ 1 2.90000+ 1 5.38923- 4 3.52412- 3 2.40000+ 1 3.00000+ 1 3.54586- 4 3.62301- 3 2.40000+ 1 3.20000+ 1 4.87644- 4 3.73829- 3 2.40000+ 1 3.30000+ 1 7.06761- 3 3.75289- 3 2.40000+ 1 3.50000+ 1 7.95880- 4 3.87989- 3 2.40000+ 1 3.60000+ 1 1.06249- 2 3.88200- 3 2.40000+ 1 4.10000+ 1 1.46478- 4 3.82733- 3 2.40000+ 1 4.30000+ 1 8.48359- 5 3.85091- 3 2.40000+ 1 4.40000+ 1 4.63854- 5 3.86641- 3 2.40000+ 1 5.80000+ 1 1.09859- 5 3.88633- 3 2.50000+ 1 2.50000+ 1 1.09992- 1 3.32946- 3 2.50000+ 1 2.70000+ 1 4.53258- 3 3.46497- 3 2.50000+ 1 2.90000+ 1 2.94735- 3 3.54302- 3 2.50000+ 1 3.00000+ 1 5.37099- 4 3.64191- 3 2.50000+ 1 3.20000+ 1 6.49591- 3 3.75719- 3 2.50000+ 1 3.30000+ 1 1.40802- 2 3.77179- 3 2.50000+ 1 3.50000+ 1 1.33722- 2 3.89879- 3 2.50000+ 1 3.60000+ 1 1.61653- 2 3.90090- 3 2.50000+ 1 4.10000+ 1 8.80725- 4 3.84623- 3 2.50000+ 1 4.30000+ 1 4.76688- 4 3.86981- 3 2.50000+ 1 4.40000+ 1 7.14122- 5 3.88531- 3 2.50000+ 1 5.80000+ 1 6.77492- 5 3.90523- 3 2.70000+ 1 2.90000+ 1 1.22070- 6 3.67853- 3 2.70000+ 1 3.00000+ 1 4.63858- 5 3.77742- 3 2.70000+ 1 3.20000+ 1 4.94388- 5 3.89270- 3 2.70000+ 1 3.30000+ 1 8.86817- 4 3.90730- 3 2.70000+ 1 3.50000+ 1 5.06588- 5 4.03430- 3 2.70000+ 1 3.60000+ 1 2.81969- 4 4.03641- 3 2.70000+ 1 4.40000+ 1 6.10348- 6 4.02082- 3 2.90000+ 1 3.00000+ 1 1.04370- 4 3.85547- 3 2.90000+ 1 3.20000+ 1 4.88282- 6 3.97075- 3 2.90000+ 1 3.30000+ 1 9.69874- 4 3.98535- 3 2.90000+ 1 3.50000+ 1 3.23481- 5 4.11235- 3 2.90000+ 1 3.60000+ 1 1.70891- 4 4.11446- 3 2.90000+ 1 4.40000+ 1 1.34271- 5 4.09887- 3 3.00000+ 1 3.00000+ 1 7.01889- 5 3.95436- 3 3.00000+ 1 3.20000+ 1 8.17861- 5 4.06964- 3 3.00000+ 1 3.30000+ 1 1.35622- 3 4.08424- 3 3.00000+ 1 3.50000+ 1 1.89202- 5 4.21124- 3 3.00000+ 1 3.60000+ 1 2.74654- 5 4.21335- 3 3.00000+ 1 4.10000+ 1 8.54481- 6 4.15868- 3 3.00000+ 1 4.30000+ 1 1.52582- 5 4.18226- 3 3.00000+ 1 4.40000+ 1 1.77002- 5 4.19776- 3 3.00000+ 1 5.80000+ 1 6.10358- 7 4.21768- 3 3.20000+ 1 3.20000+ 1 1.28171- 5 4.18492- 3 3.20000+ 1 3.30000+ 1 1.62591- 3 4.19952- 3 3.20000+ 1 3.50000+ 1 3.90622- 5 4.32652- 3 3.20000+ 1 3.60000+ 1 5.23072- 4 4.32863- 3 3.20000+ 1 4.10000+ 1 7.93443- 6 4.27396- 3 3.20000+ 1 4.30000+ 1 6.10352- 7 4.29754- 3 3.20000+ 1 4.40000+ 1 1.03760- 5 4.31304- 3 3.20000+ 1 5.80000+ 1 6.10352- 7 4.33296- 3 3.30000+ 1 3.30000+ 1 1.75349- 3 4.21412- 3 3.30000+ 1 3.50000+ 1 6.41456- 4 4.34112- 3 3.30000+ 1 3.60000+ 1 1.16389- 3 4.34323- 3 3.30000+ 1 4.10000+ 1 1.69679- 4 4.28856- 3 3.30000+ 1 4.30000+ 1 1.56249- 4 4.31214- 3 3.30000+ 1 4.40000+ 1 1.83099- 4 4.32764- 3 3.30000+ 1 5.80000+ 1 1.28169- 5 4.34756- 3 3.50000+ 1 3.50000+ 1 2.99060- 5 4.46812- 3 3.50000+ 1 3.60000+ 1 8.99020- 4 4.47023- 3 3.50000+ 1 4.10000+ 1 9.76510- 6 4.41556- 3 3.50000+ 1 4.30000+ 1 4.88280- 6 4.43914- 3 3.50000+ 1 4.40000+ 1 2.44130- 6 4.45464- 3 3.50000+ 1 5.80000+ 1 6.10350- 7 4.47456- 3 3.60000+ 1 3.60000+ 1 5.81046- 4 4.47234- 3 3.60000+ 1 4.10000+ 1 5.55416- 5 4.41767- 3 3.60000+ 1 4.30000+ 1 2.80748- 5 4.44125- 3 3.60000+ 1 4.40000+ 1 3.66187- 6 4.45675- 3 3.60000+ 1 5.80000+ 1 4.27227- 6 4.47667- 3 4.10000+ 1 4.40000+ 1 1.22069- 6 4.40208- 3 4.30000+ 1 4.40000+ 1 1.83099- 6 4.42566- 3 4.40000+ 1 4.40000+ 1 1.22069- 6 4.44116- 3 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 1.21770- 5 1.86800- 4 1.90000+ 1 7.38919- 4 5.66200- 4 2.90000+ 1 4.53869- 4 1.55774- 3 3.00000+ 1 4.52819- 5 1.65663- 3 4.30000+ 1 8.67199- 5 1.88453- 3 4.40000+ 1 1.09300- 5 1.90003- 3 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.60000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.80000+ 1 3.20000+ 1 5.10518- 2 3.29100- 5 1.80000+ 1 3.30000+ 1 8.20137- 2 4.75100- 5 1.80000+ 1 3.50000+ 1 3.23564- 2 1.74510- 4 1.80000+ 1 3.60000+ 1 3.43851- 2 1.76620- 4 1.80000+ 1 4.10000+ 1 7.99311- 3 1.21950- 4 1.80000+ 1 4.30000+ 1 6.55538- 3 1.45530- 4 1.80000+ 1 4.40000+ 1 7.65443- 3 1.61030- 4 1.80000+ 1 5.80000+ 1 5.79784- 4 1.80950- 4 1.90000+ 1 2.50000+ 1 1.68056- 2 0.00000+ 0 1.90000+ 1 2.70000+ 1 3.07216- 2 1.20090- 4 1.90000+ 1 2.90000+ 1 3.83847- 2 1.98140- 4 1.90000+ 1 3.00000+ 1 2.76633- 2 2.97030- 4 1.90000+ 1 3.20000+ 1 2.31874- 2 4.12310- 4 1.90000+ 1 3.30000+ 1 2.85514- 2 4.26910- 4 1.90000+ 1 3.50000+ 1 2.54523- 3 5.53910- 4 1.90000+ 1 3.60000+ 1 4.15306- 3 5.56020- 4 1.90000+ 1 4.10000+ 1 5.82278- 3 5.01350- 4 1.90000+ 1 4.30000+ 1 5.94170- 3 5.24930- 4 1.90000+ 1 4.40000+ 1 3.81012- 3 5.40430- 4 1.90000+ 1 5.80000+ 1 4.32887- 4 5.60350- 4 2.10000+ 1 2.40000+ 1 2.91855- 3 2.63480- 4 2.10000+ 1 2.50000+ 1 3.11928- 3 2.82380- 4 2.10000+ 1 2.70000+ 1 1.42304- 2 4.17890- 4 2.10000+ 1 2.90000+ 1 5.30386- 3 4.95940- 4 2.10000+ 1 3.00000+ 1 3.42693- 3 5.94830- 4 2.10000+ 1 3.20000+ 1 1.47941- 3 7.10110- 4 2.10000+ 1 3.30000+ 1 3.66906- 3 7.24710- 4 2.10000+ 1 3.50000+ 1 1.62344- 3 8.51710- 4 2.10000+ 1 3.60000+ 1 1.61417- 3 8.53820- 4 2.10000+ 1 4.10000+ 1 1.94927- 3 7.99150- 4 2.10000+ 1 4.30000+ 1 7.90609- 4 8.22730- 4 2.10000+ 1 4.40000+ 1 3.82295- 4 8.38230- 4 2.10000+ 1 5.80000+ 1 1.39657- 4 8.58150- 4 2.20000+ 1 2.40000+ 1 3.68598- 3 3.30920- 4 2.20000+ 1 2.50000+ 1 4.89894- 3 3.49820- 4 2.20000+ 1 2.70000+ 1 1.95711- 2 4.85330- 4 2.20000+ 1 2.90000+ 1 7.50901- 3 5.63380- 4 2.20000+ 1 3.00000+ 1 4.52771- 3 6.62270- 4 2.20000+ 1 3.20000+ 1 2.86197- 3 7.77550- 4 2.20000+ 1 3.30000+ 1 3.23748- 3 7.92150- 4 2.20000+ 1 3.50000+ 1 1.75203- 3 9.19150- 4 2.20000+ 1 3.60000+ 1 2.32944- 3 9.21260- 4 2.20000+ 1 4.10000+ 1 2.66285- 3 8.66590- 4 2.20000+ 1 4.30000+ 1 1.00775- 3 8.90170- 4 2.20000+ 1 4.40000+ 1 5.62051- 4 9.05670- 4 2.20000+ 1 5.80000+ 1 1.90631- 4 9.25590- 4 2.40000+ 1 2.40000+ 1 7.61793- 3 7.24760- 4 2.40000+ 1 2.50000+ 1 1.40440- 2 7.43660- 4 2.40000+ 1 2.70000+ 1 1.75830- 2 8.79170- 4 2.40000+ 1 2.90000+ 1 2.48014- 3 9.57220- 4 2.40000+ 1 3.00000+ 1 1.26011- 2 1.05611- 3 2.40000+ 1 3.20000+ 1 1.11796- 3 1.17139- 3 2.40000+ 1 3.30000+ 1 7.17806- 4 1.18599- 3 2.40000+ 1 3.50000+ 1 6.54161- 4 1.31299- 3 2.40000+ 1 3.60000+ 1 6.14836- 4 1.31510- 3 2.40000+ 1 4.10000+ 1 2.00056- 3 1.26043- 3 2.40000+ 1 4.30000+ 1 2.93830- 4 1.28401- 3 2.40000+ 1 4.40000+ 1 1.27419- 3 1.29951- 3 2.40000+ 1 5.80000+ 1 1.39311- 4 1.31943- 3 2.50000+ 1 2.50000+ 1 1.25045- 2 7.62560- 4 2.50000+ 1 2.70000+ 1 2.26093- 2 8.98070- 4 2.50000+ 1 2.90000+ 1 1.01923- 3 9.76120- 4 2.50000+ 1 3.00000+ 1 1.25603- 2 1.07501- 3 2.50000+ 1 3.20000+ 1 6.16697- 4 1.19029- 3 2.50000+ 1 3.30000+ 1 1.56025- 3 1.20489- 3 2.50000+ 1 3.50000+ 1 6.57734- 4 1.33189- 3 2.50000+ 1 3.60000+ 1 1.04861- 3 1.33400- 3 2.50000+ 1 4.10000+ 1 2.55743- 3 1.27933- 3 2.50000+ 1 4.30000+ 1 1.16799- 4 1.30291- 3 2.50000+ 1 4.40000+ 1 1.21295- 3 1.31841- 3 2.50000+ 1 5.80000+ 1 1.78051- 4 1.33833- 3 2.70000+ 1 2.70000+ 1 1.85920- 2 1.03358- 3 2.70000+ 1 2.90000+ 1 2.82983- 2 1.11163- 3 2.70000+ 1 3.00000+ 1 4.22319- 2 1.21052- 3 2.70000+ 1 3.20000+ 1 4.49868- 2 1.32580- 3 2.70000+ 1 3.30000+ 1 6.12004- 2 1.34040- 3 2.70000+ 1 3.50000+ 1 2.76429- 2 1.46740- 3 2.70000+ 1 3.60000+ 1 3.38213- 2 1.46951- 3 2.70000+ 1 4.10000+ 1 5.86555- 3 1.41484- 3 2.70000+ 1 4.30000+ 1 4.60745- 3 1.43842- 3 2.70000+ 1 4.40000+ 1 5.65318- 3 1.45392- 3 2.70000+ 1 5.80000+ 1 4.29879- 4 1.47384- 3 2.90000+ 1 2.90000+ 1 2.10547- 3 1.18968- 3 2.90000+ 1 3.00000+ 1 1.03198- 2 1.28857- 3 2.90000+ 1 3.20000+ 1 3.95997- 3 1.40385- 3 2.90000+ 1 3.30000+ 1 2.58626- 3 1.41845- 3 2.90000+ 1 3.50000+ 1 1.42291- 3 1.54545- 3 2.90000+ 1 3.60000+ 1 7.66733- 4 1.54756- 3 2.90000+ 1 4.10000+ 1 3.28447- 3 1.49289- 3 2.90000+ 1 4.30000+ 1 5.40399- 4 1.51647- 3 2.90000+ 1 4.40000+ 1 1.01415- 3 1.53197- 3 2.90000+ 1 5.80000+ 1 2.29841- 4 1.55189- 3 3.00000+ 1 3.00000+ 1 4.39520- 3 1.38746- 3 3.00000+ 1 3.20000+ 1 1.71069- 3 1.50274- 3 3.00000+ 1 3.30000+ 1 5.65150- 3 1.51734- 3 3.00000+ 1 3.50000+ 1 8.19039- 3 1.64434- 3 3.00000+ 1 3.60000+ 1 1.00061- 2 1.64645- 3 3.00000+ 1 4.10000+ 1 5.16015- 3 1.59178- 3 3.00000+ 1 4.30000+ 1 1.49674- 3 1.61536- 3 3.00000+ 1 4.40000+ 1 1.02820- 3 1.63086- 3 3.00000+ 1 5.80000+ 1 3.64948- 4 1.65078- 3 3.20000+ 1 3.20000+ 1 1.12997- 3 1.61802- 3 3.20000+ 1 3.30000+ 1 4.10381- 3 1.63262- 3 3.20000+ 1 3.50000+ 1 6.79023- 4 1.75962- 3 3.20000+ 1 3.60000+ 1 4.87760- 4 1.76173- 3 3.20000+ 1 4.10000+ 1 5.31435- 3 1.70706- 3 3.20000+ 1 4.30000+ 1 4.89513- 4 1.73064- 3 3.20000+ 1 4.40000+ 1 1.38604- 4 1.74614- 3 3.20000+ 1 5.80000+ 1 3.71957- 4 1.76606- 3 3.30000+ 1 3.30000+ 1 2.37389- 3 1.64722- 3 3.30000+ 1 3.50000+ 1 5.28127- 4 1.77422- 3 3.30000+ 1 3.60000+ 1 9.82577- 4 1.77633- 3 3.30000+ 1 4.10000+ 1 7.21302- 3 1.72166- 3 3.30000+ 1 4.30000+ 1 2.77231- 4 1.74524- 3 3.30000+ 1 4.40000+ 1 5.94813- 4 1.76074- 3 3.30000+ 1 5.80000+ 1 5.05327- 4 1.78066- 3 3.50000+ 1 3.50000+ 1 1.17551- 4 1.90122- 3 3.50000+ 1 3.60000+ 1 2.15807- 4 1.90333- 3 3.50000+ 1 4.10000+ 1 3.10728- 3 1.84866- 3 3.50000+ 1 4.30000+ 1 1.59671- 4 1.87224- 3 3.50000+ 1 4.40000+ 1 8.70282- 4 1.88774- 3 3.50000+ 1 5.80000+ 1 2.15807- 4 1.90766- 3 3.60000+ 1 3.60000+ 1 1.82473- 4 1.90544- 3 3.60000+ 1 4.10000+ 1 3.79160- 3 1.85077- 3 3.60000+ 1 4.30000+ 1 7.72025- 5 1.87435- 3 3.60000+ 1 4.40000+ 1 1.04743- 3 1.88985- 3 3.60000+ 1 5.80000+ 1 2.63182- 4 1.90977- 3 4.10000+ 1 4.10000+ 1 4.21093- 4 1.79610- 3 4.10000+ 1 4.30000+ 1 5.38654- 4 1.81968- 3 4.10000+ 1 4.40000+ 1 6.77242- 4 1.83518- 3 4.10000+ 1 5.80000+ 1 6.14093- 5 1.85510- 3 4.30000+ 1 4.30000+ 1 3.33370- 5 1.84326- 3 4.30000+ 1 4.40000+ 1 1.43877- 4 1.85876- 3 4.30000+ 1 5.80000+ 1 3.68461- 5 1.87868- 3 4.40000+ 1 4.40000+ 1 5.61465- 5 1.87426- 3 4.40000+ 1 5.80000+ 1 4.73734- 5 1.89418- 3 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.17670- 3 6.77200- 4 2.70000+ 1 2.54461- 4 1.29289- 3 3.20000+ 1 5.34681- 5 1.58511- 3 4.10000+ 1 5.21841- 5 1.67415- 3 5.80000+ 1 4.16661- 6 1.73315- 3 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.80000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 1.90000+ 1 2.90000+ 1 1.01707- 2 1.13400- 5 1.90000+ 1 3.00000+ 1 8.69659- 3 1.10230- 4 1.90000+ 1 3.20000+ 1 5.38528- 3 2.25510- 4 1.90000+ 1 3.30000+ 1 7.50881- 3 2.40110- 4 1.90000+ 1 3.50000+ 1 2.18323- 3 3.67110- 4 1.90000+ 1 3.60000+ 1 3.12613- 3 3.69220- 4 1.90000+ 1 4.10000+ 1 1.19725- 3 3.14550- 4 1.90000+ 1 4.30000+ 1 1.43112- 3 3.38130- 4 1.90000+ 1 4.40000+ 1 9.51937- 4 3.53630- 4 1.90000+ 1 5.80000+ 1 8.70297- 5 3.73550- 4 2.10000+ 1 2.40000+ 1 4.60990- 2 7.66800- 5 2.10000+ 1 2.50000+ 1 1.50386- 1 9.55800- 5 2.10000+ 1 2.70000+ 1 2.06409- 2 2.31090- 4 2.10000+ 1 2.90000+ 1 1.73729- 2 3.09140- 4 2.10000+ 1 3.00000+ 1 1.78513- 2 4.08030- 4 2.10000+ 1 3.20000+ 1 9.47653- 3 5.23310- 4 2.10000+ 1 3.30000+ 1 1.28423- 2 5.37910- 4 2.10000+ 1 3.50000+ 1 2.72010- 3 6.64910- 4 2.10000+ 1 3.60000+ 1 5.04923- 3 6.67020- 4 2.10000+ 1 4.10000+ 1 3.96410- 3 6.12350- 4 2.10000+ 1 4.30000+ 1 2.62500- 3 6.35930- 4 2.10000+ 1 4.40000+ 1 2.37797- 3 6.51430- 4 2.10000+ 1 5.80000+ 1 2.95809- 4 6.71350- 4 2.20000+ 1 2.40000+ 1 3.50738- 2 1.44120- 4 2.20000+ 1 2.50000+ 1 8.50935- 3 1.63020- 4 2.20000+ 1 2.70000+ 1 3.19040- 3 2.98530- 4 2.20000+ 1 2.90000+ 1 1.42973- 2 3.76580- 4 2.20000+ 1 3.00000+ 1 2.42346- 3 4.75470- 4 2.20000+ 1 3.20000+ 1 1.21429- 3 5.90750- 4 2.20000+ 1 3.30000+ 1 1.40114- 3 6.05350- 4 2.20000+ 1 3.50000+ 1 5.96633- 4 7.32350- 4 2.20000+ 1 3.60000+ 1 4.17774- 4 7.34460- 4 2.20000+ 1 4.10000+ 1 4.66669- 4 6.79790- 4 2.20000+ 1 4.30000+ 1 1.45847- 3 7.03370- 4 2.20000+ 1 4.40000+ 1 2.43088- 4 7.18870- 4 2.20000+ 1 5.80000+ 1 3.37598- 5 7.38790- 4 2.40000+ 1 2.40000+ 1 1.30155- 3 5.37960- 4 2.40000+ 1 2.50000+ 1 6.28179- 3 5.56860- 4 2.40000+ 1 2.70000+ 1 3.46317- 3 6.92370- 4 2.40000+ 1 2.90000+ 1 1.26244- 2 7.70420- 4 2.40000+ 1 3.00000+ 1 1.16489- 3 8.69310- 4 2.40000+ 1 3.20000+ 1 4.11546- 3 9.84590- 4 2.40000+ 1 3.30000+ 1 3.83891- 3 9.99190- 4 2.40000+ 1 3.50000+ 1 7.62577- 4 1.12619- 3 2.40000+ 1 3.60000+ 1 5.44523- 4 1.12830- 3 2.40000+ 1 4.10000+ 1 6.67280- 4 1.07363- 3 2.40000+ 1 4.30000+ 1 1.32301- 3 1.09721- 3 2.40000+ 1 4.40000+ 1 1.35759- 4 1.11271- 3 2.40000+ 1 5.80000+ 1 4.97662- 5 1.13263- 3 2.50000+ 1 2.50000+ 1 3.54983- 4 5.75760- 4 2.50000+ 1 2.70000+ 1 1.83512- 3 7.11270- 4 2.50000+ 1 2.90000+ 1 1.90359- 2 7.89320- 4 2.50000+ 1 3.00000+ 1 9.76405- 4 8.88210- 4 2.50000+ 1 3.20000+ 1 9.00757- 3 1.00349- 3 2.50000+ 1 3.30000+ 1 8.80420- 4 1.01809- 3 2.50000+ 1 3.50000+ 1 1.41973- 4 1.14509- 3 2.50000+ 1 3.60000+ 1 9.67415- 5 1.14720- 3 2.50000+ 1 4.10000+ 1 2.56395- 4 1.09253- 3 2.50000+ 1 4.30000+ 1 1.89676- 3 1.11611- 3 2.50000+ 1 4.40000+ 1 1.08526- 4 1.13161- 3 2.50000+ 1 5.80000+ 1 1.83138- 5 1.15153- 3 2.70000+ 1 2.70000+ 1 3.04711- 3 8.46780- 4 2.70000+ 1 2.90000+ 1 3.87554- 2 9.24830- 4 2.70000+ 1 3.00000+ 1 7.25373- 3 1.02372- 3 2.70000+ 1 3.20000+ 1 1.02268- 2 1.13900- 3 2.70000+ 1 3.30000+ 1 6.58604- 3 1.15360- 3 2.70000+ 1 3.50000+ 1 1.07191- 3 1.28060- 3 2.70000+ 1 3.60000+ 1 2.21083- 3 1.28271- 3 2.70000+ 1 4.10000+ 1 8.87084- 4 1.22804- 3 2.70000+ 1 4.30000+ 1 3.85331- 3 1.25162- 3 2.70000+ 1 4.40000+ 1 8.66291- 4 1.26712- 3 2.70000+ 1 5.80000+ 1 6.46832- 5 1.28704- 3 2.90000+ 1 2.90000+ 1 2.70092- 2 1.00288- 3 2.90000+ 1 3.00000+ 1 6.75757- 2 1.10177- 3 2.90000+ 1 3.20000+ 1 5.71750- 2 1.21705- 3 2.90000+ 1 3.30000+ 1 9.42770- 2 1.23165- 3 2.90000+ 1 3.50000+ 1 3.87295- 2 1.35865- 3 2.90000+ 1 3.60000+ 1 5.14545- 2 1.36076- 3 2.90000+ 1 4.10000+ 1 7.66025- 3 1.30609- 3 2.90000+ 1 4.30000+ 1 7.19123- 3 1.32967- 3 2.90000+ 1 4.40000+ 1 9.08553- 3 1.34517- 3 2.90000+ 1 5.80000+ 1 5.72905- 4 1.36509- 3 3.00000+ 1 3.00000+ 1 1.79496- 3 1.20066- 3 3.00000+ 1 3.20000+ 1 9.25611- 3 1.31594- 3 3.00000+ 1 3.30000+ 1 4.41466- 3 1.33054- 3 3.00000+ 1 3.50000+ 1 1.06723- 3 1.45754- 3 3.00000+ 1 3.60000+ 1 1.70945- 3 1.45965- 3 3.00000+ 1 4.10000+ 1 9.74864- 4 1.40498- 3 3.00000+ 1 4.30000+ 1 6.86559- 3 1.42856- 3 3.00000+ 1 4.40000+ 1 4.08886- 4 1.44406- 3 3.00000+ 1 5.80000+ 1 6.93029- 5 1.46398- 3 3.20000+ 1 3.20000+ 1 3.47435- 3 1.43122- 3 3.20000+ 1 3.30000+ 1 4.89052- 3 1.44582- 3 3.20000+ 1 3.50000+ 1 7.24216- 3 1.57282- 3 3.20000+ 1 3.60000+ 1 1.17166- 2 1.57493- 3 3.20000+ 1 4.10000+ 1 1.80195- 3 1.52026- 3 3.20000+ 1 4.30000+ 1 5.97163- 3 1.54384- 3 3.20000+ 1 4.40000+ 1 1.20587- 3 1.55934- 3 3.20000+ 1 5.80000+ 1 1.33983- 4 1.57926- 3 3.30000+ 1 3.30000+ 1 8.29341- 4 1.46042- 3 3.30000+ 1 3.50000+ 1 1.58936- 3 1.58742- 3 3.30000+ 1 3.60000+ 1 9.51807- 4 1.58953- 3 3.30000+ 1 4.10000+ 1 7.90078- 4 1.53486- 3 3.30000+ 1 4.30000+ 1 9.69379- 3 1.55844- 3 3.30000+ 1 4.40000+ 1 4.78205- 4 1.57394- 3 3.30000+ 1 5.80000+ 1 5.54438- 5 1.59386- 3 3.50000+ 1 3.50000+ 1 2.72603- 4 1.71442- 3 3.50000+ 1 3.60000+ 1 4.08891- 4 1.71653- 3 3.50000+ 1 4.10000+ 1 1.87123- 4 1.66186- 3 3.50000+ 1 4.30000+ 1 3.79090- 3 1.68544- 3 3.50000+ 1 4.40000+ 1 1.20129- 4 1.70094- 3 3.50000+ 1 5.80000+ 1 1.38603- 5 1.72086- 3 3.60000+ 1 3.60000+ 1 1.03955- 4 1.71864- 3 3.60000+ 1 4.10000+ 1 3.00318- 4 1.66397- 3 3.60000+ 1 4.30000+ 1 5.06378- 3 1.68755- 3 3.60000+ 1 4.40000+ 1 1.75563- 4 1.70305- 3 3.60000+ 1 5.80000+ 1 2.07913- 5 1.72297- 3 4.10000+ 1 4.10000+ 1 6.46830- 5 1.60930- 3 4.10000+ 1 4.30000+ 1 7.66957- 4 1.63288- 3 4.10000+ 1 4.40000+ 1 1.15502- 4 1.64838- 3 4.10000+ 1 5.80000+ 1 9.24007- 6 1.66830- 3 4.30000+ 1 4.30000+ 1 4.43547- 4 1.65646- 3 4.30000+ 1 4.40000+ 1 9.24004- 4 1.67196- 3 4.30000+ 1 5.80000+ 1 5.77524- 5 1.69188- 3 4.40000+ 1 4.40000+ 1 2.31000- 5 1.68746- 3 4.40000+ 1 5.80000+ 1 9.24002- 6 1.70738- 3 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 1.04710- 5 2.97800- 4 2.20000+ 1 1.82660- 4 3.65240- 4 2.70000+ 1 3.54901- 4 9.13490- 4 3.20000+ 1 4.34611- 5 1.20571- 3 3.30000+ 1 2.48060- 4 1.22031- 3 4.10000+ 1 6.90381- 5 1.29475- 3 5.80000+ 1 5.48191- 6 1.35375- 3 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 1.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.10000+ 1 3.00000+ 1 4.57514- 2 2.86300- 5 2.10000+ 1 3.20000+ 1 1.78025- 2 1.43910- 4 2.10000+ 1 3.30000+ 1 2.58612- 2 1.58510- 4 2.10000+ 1 3.50000+ 1 5.18092- 3 2.85510- 4 2.10000+ 1 3.60000+ 1 4.73594- 3 2.87620- 4 2.10000+ 1 4.10000+ 1 3.78458- 3 2.32950- 4 2.10000+ 1 4.30000+ 1 2.74912- 3 2.56530- 4 2.10000+ 1 4.40000+ 1 5.17762- 3 2.72030- 4 2.10000+ 1 5.80000+ 1 2.76862- 4 2.91950- 4 2.20000+ 1 2.90000+ 1 1.36400- 1 0.00000+ 0 2.20000+ 1 3.00000+ 1 1.22070- 1 9.60700- 5 2.20000+ 1 3.20000+ 1 1.11740- 1 2.11350- 4 2.20000+ 1 3.30000+ 1 1.32400- 1 2.25950- 4 2.20000+ 1 3.50000+ 1 1.50930- 2 3.52950- 4 2.20000+ 1 3.60000+ 1 1.82290- 2 3.55060- 4 2.20000+ 1 4.10000+ 1 2.15790- 2 3.00390- 4 2.20000+ 1 4.30000+ 1 1.92630- 2 3.23970- 4 2.20000+ 1 4.40000+ 1 1.52410- 2 3.39470- 4 2.20000+ 1 5.80000+ 1 1.60480- 3 3.59390- 4 2.40000+ 1 2.40000+ 1 1.08890- 3 1.58560- 4 2.40000+ 1 2.50000+ 1 1.70779- 3 1.77460- 4 2.40000+ 1 2.70000+ 1 1.04360- 2 3.12970- 4 2.40000+ 1 2.90000+ 1 4.95256- 3 3.91020- 4 2.40000+ 1 3.00000+ 1 5.03846- 2 4.89910- 4 2.40000+ 1 3.20000+ 1 2.08639- 3 6.05190- 4 2.40000+ 1 3.30000+ 1 7.15016- 3 6.19790- 4 2.40000+ 1 3.50000+ 1 1.18120- 3 7.46790- 4 2.40000+ 1 3.60000+ 1 1.21630- 3 7.48900- 4 2.40000+ 1 4.10000+ 1 1.17820- 3 6.94230- 4 2.40000+ 1 4.30000+ 1 6.65096- 4 7.17810- 4 2.40000+ 1 4.40000+ 1 4.48067- 3 7.33310- 4 2.40000+ 1 5.80000+ 1 8.22581- 5 7.53230- 4 2.50000+ 1 2.50000+ 1 3.12393- 3 1.96360- 4 2.50000+ 1 2.70000+ 1 2.46633- 2 3.31870- 4 2.50000+ 1 2.90000+ 1 1.79952- 2 4.09920- 4 2.50000+ 1 3.00000+ 1 6.09746- 2 5.08810- 4 2.50000+ 1 3.20000+ 1 1.52232- 3 6.24090- 4 2.50000+ 1 3.30000+ 1 1.04371- 2 6.38690- 4 2.50000+ 1 3.50000+ 1 5.02485- 3 7.65690- 4 2.50000+ 1 3.60000+ 1 5.93906- 3 7.67800- 4 2.50000+ 1 4.10000+ 1 3.41734- 3 7.13130- 4 2.50000+ 1 4.30000+ 1 2.56023- 3 7.36710- 4 2.50000+ 1 4.40000+ 1 5.47685- 3 7.52210- 4 2.50000+ 1 5.80000+ 1 2.45273- 4 7.72130- 4 2.70000+ 1 2.70000+ 1 1.13361- 4 4.67380- 4 2.70000+ 1 2.90000+ 1 3.19771- 4 5.45430- 4 2.70000+ 1 3.00000+ 1 4.91602- 3 6.44320- 4 2.70000+ 1 3.20000+ 1 4.48921- 4 7.59600- 4 2.70000+ 1 3.30000+ 1 7.25793- 4 7.74200- 4 2.70000+ 1 3.50000+ 1 3.51872- 4 9.01200- 4 2.70000+ 1 3.60000+ 1 3.68662- 4 9.03310- 4 2.70000+ 1 4.10000+ 1 3.96242- 5 8.48640- 4 2.70000+ 1 4.30000+ 1 3.51112- 5 8.72220- 4 2.70000+ 1 4.40000+ 1 4.20072- 4 8.87720- 4 2.70000+ 1 5.80000+ 1 3.00952- 6 9.07640- 4 2.90000+ 1 2.90000+ 1 1.75550- 5 6.23480- 4 2.90000+ 1 3.00000+ 1 5.73627- 3 7.22370- 4 2.90000+ 1 3.20000+ 1 2.67839- 4 8.37650- 4 2.90000+ 1 3.30000+ 1 6.89416- 4 8.52250- 4 2.90000+ 1 3.50000+ 1 2.75879- 4 9.79250- 4 2.90000+ 1 3.60000+ 1 6.56566- 4 9.81360- 4 2.90000+ 1 4.10000+ 1 5.26647- 5 9.26690- 4 2.90000+ 1 4.30000+ 1 1.12860- 5 9.50270- 4 2.90000+ 1 4.40000+ 1 5.02827- 4 9.65770- 4 2.90000+ 1 5.80000+ 1 4.01258- 6 9.85690- 4 3.00000+ 1 3.00000+ 1 7.01258- 3 8.21260- 4 3.00000+ 1 3.20000+ 1 8.75022- 3 9.36540- 4 3.00000+ 1 3.30000+ 1 1.15090- 2 9.51140- 4 3.00000+ 1 3.50000+ 1 5.54948- 3 1.07814- 3 3.00000+ 1 3.60000+ 1 6.54088- 3 1.08025- 3 3.00000+ 1 4.10000+ 1 9.78061- 4 1.02558- 3 3.00000+ 1 4.30000+ 1 9.05602- 4 1.04916- 3 3.00000+ 1 4.40000+ 1 1.56300- 3 1.06466- 3 3.00000+ 1 5.80000+ 1 7.32308- 5 1.08458- 3 3.20000+ 1 3.20000+ 1 1.70281- 4 1.05182- 3 3.20000+ 1 3.30000+ 1 1.02001- 3 1.06642- 3 3.20000+ 1 3.50000+ 1 1.22891- 4 1.19342- 3 3.20000+ 1 3.60000+ 1 2.65092- 4 1.19553- 3 3.20000+ 1 4.10000+ 1 5.96882- 5 1.14086- 3 3.20000+ 1 4.30000+ 1 4.43902- 5 1.16444- 3 3.20000+ 1 4.40000+ 1 7.76192- 4 1.17994- 3 3.20000+ 1 5.80000+ 1 4.26342- 6 1.19986- 3 3.30000+ 1 3.30000+ 1 9.68743- 4 1.08102- 3 3.30000+ 1 3.50000+ 1 4.24336- 4 1.20802- 3 3.30000+ 1 3.60000+ 1 5.72043- 4 1.21013- 3 3.30000+ 1 4.10000+ 1 1.38939- 4 1.15546- 3 3.30000+ 1 4.30000+ 1 1.17869- 4 1.17904- 3 3.30000+ 1 4.40000+ 1 1.03269- 3 1.19454- 3 3.30000+ 1 5.80000+ 1 1.02829- 5 1.21446- 3 3.50000+ 1 3.50000+ 1 1.73040- 5 1.33502- 3 3.50000+ 1 3.60000+ 1 8.75240- 5 1.33713- 3 3.50000+ 1 4.10000+ 1 4.33868- 5 1.28246- 3 3.50000+ 1 4.30000+ 1 1.27900- 5 1.30604- 3 3.50000+ 1 4.40000+ 1 4.73987- 4 1.32154- 3 3.50000+ 1 5.80000+ 1 3.00949- 6 1.34146- 3 3.60000+ 1 3.60000+ 1 5.51735- 5 1.33924- 3 3.60000+ 1 4.10000+ 1 4.71485- 5 1.28457- 3 3.60000+ 1 4.30000+ 1 3.28537- 5 1.30815- 3 3.60000+ 1 4.40000+ 1 5.55505- 4 1.32365- 3 3.60000+ 1 5.80000+ 1 3.26027- 6 1.34357- 3 4.10000+ 1 4.10000+ 1 1.00320- 6 1.22990- 3 4.10000+ 1 4.30000+ 1 3.51108- 6 1.25348- 3 4.10000+ 1 4.40000+ 1 8.35121- 5 1.26898- 3 4.10000+ 1 5.80000+ 1 2.50789- 7 1.28890- 3 4.30000+ 1 4.30000+ 1 2.50790- 7 1.27706- 3 4.30000+ 1 4.40000+ 1 7.89985- 5 1.29256- 3 4.30000+ 1 5.80000+ 1 2.50790- 7 1.31248- 3 4.40000+ 1 4.40000+ 1 8.22584- 5 1.30806- 3 4.40000+ 1 5.80000+ 1 6.26978- 6 1.32798- 3 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 4.82741- 4 4.61280- 4 2.90000+ 1 2.38750- 4 6.93740- 4 3.00000+ 1 2.41610- 5 7.92630- 4 3.50000+ 1 2.10050- 4 1.04951- 3 4.30000+ 1 3.85761- 5 1.02053- 3 4.40000+ 1 3.39441- 6 1.03603- 3 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.10000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.20000+ 1 3.50000+ 1 5.42716- 3 5.51500- 5 2.20000+ 1 3.60000+ 1 6.83083- 3 5.72600- 5 2.20000+ 1 4.10000+ 1 2.56886- 3 2.59000- 6 2.20000+ 1 4.30000+ 1 1.19983- 3 2.61700- 5 2.20000+ 1 4.40000+ 1 2.44976- 3 4.16700- 5 2.20000+ 1 5.80000+ 1 1.48593- 4 6.15900- 5 2.40000+ 1 2.70000+ 1 1.18851- 1 1.51700- 5 2.40000+ 1 2.90000+ 1 1.11381- 1 9.32200- 5 2.40000+ 1 3.00000+ 1 1.19061- 1 1.92110- 4 2.40000+ 1 3.20000+ 1 1.24041- 1 3.07390- 4 2.40000+ 1 3.30000+ 1 1.27681- 1 3.21990- 4 2.40000+ 1 3.50000+ 1 1.07451- 2 4.48990- 4 2.40000+ 1 3.60000+ 1 9.26045- 3 4.51100- 4 2.40000+ 1 4.10000+ 1 2.36242- 2 3.96430- 4 2.40000+ 1 4.30000+ 1 1.79522- 2 4.20010- 4 2.40000+ 1 4.40000+ 1 1.55992- 2 4.35510- 4 2.40000+ 1 5.80000+ 1 1.75572- 3 4.55430- 4 2.50000+ 1 2.70000+ 1 7.72665- 3 3.40700- 5 2.50000+ 1 2.90000+ 1 1.81033- 2 1.12120- 4 2.50000+ 1 3.00000+ 1 7.86907- 3 2.11010- 4 2.50000+ 1 3.20000+ 1 1.30941- 1 3.26290- 4 2.50000+ 1 3.30000+ 1 5.37309- 3 3.40890- 4 2.50000+ 1 3.50000+ 1 2.33823- 3 4.67890- 4 2.50000+ 1 3.60000+ 1 9.40119- 4 4.70000- 4 2.50000+ 1 4.10000+ 1 1.12731- 3 4.15330- 4 2.50000+ 1 4.30000+ 1 1.79193- 3 4.38910- 4 2.50000+ 1 4.40000+ 1 7.57215- 4 4.54410- 4 2.50000+ 1 5.80000+ 1 8.19888- 5 4.74330- 4 2.70000+ 1 2.70000+ 1 8.65213- 4 1.69580- 4 2.70000+ 1 2.90000+ 1 2.19751- 3 2.47630- 4 2.70000+ 1 3.00000+ 1 1.42451- 3 3.46520- 4 2.70000+ 1 3.20000+ 1 1.16921- 2 4.61800- 4 2.70000+ 1 3.30000+ 1 1.43841- 3 4.76400- 4 2.70000+ 1 3.50000+ 1 2.63582- 3 6.03400- 4 2.70000+ 1 3.60000+ 1 2.20301- 3 6.05510- 4 2.70000+ 1 4.10000+ 1 1.98261- 4 5.50840- 4 2.70000+ 1 4.30000+ 1 2.23101- 4 5.74420- 4 2.70000+ 1 4.40000+ 1 1.52941- 4 5.89920- 4 2.70000+ 1 5.80000+ 1 1.41901- 5 6.09840- 4 2.90000+ 1 2.90000+ 1 6.50004- 4 3.25680- 4 2.90000+ 1 3.00000+ 1 1.81946- 3 4.24570- 4 2.90000+ 1 3.20000+ 1 8.84125- 3 5.39850- 4 2.90000+ 1 3.30000+ 1 8.74304- 4 5.54450- 4 2.90000+ 1 3.50000+ 1 3.37420- 4 6.81450- 4 2.90000+ 1 3.60000+ 1 3.23230- 4 6.83560- 4 2.90000+ 1 4.10000+ 1 1.78556- 4 6.28890- 4 2.90000+ 1 4.30000+ 1 1.40324- 4 6.52470- 4 2.90000+ 1 4.40000+ 1 1.45854- 4 6.67970- 4 2.90000+ 1 5.80000+ 1 1.26144- 5 6.87890- 4 3.00000+ 1 3.00000+ 1 5.79456- 4 5.23460- 4 3.00000+ 1 3.20000+ 1 1.74604- 2 6.38740- 4 3.00000+ 1 3.30000+ 1 1.45693- 3 6.53340- 4 3.00000+ 1 3.50000+ 1 9.23576- 4 7.80340- 4 3.00000+ 1 3.60000+ 1 5.40033- 4 7.82450- 4 3.00000+ 1 4.10000+ 1 6.74050- 5 7.27780- 4 3.00000+ 1 4.30000+ 1 1.24962- 4 7.51360- 4 3.00000+ 1 4.40000+ 1 9.89408- 5 7.66860- 4 3.00000+ 1 5.80000+ 1 4.33599- 6 7.86780- 4 3.20000+ 1 3.20000+ 1 1.16621- 2 7.54020- 4 3.20000+ 1 3.30000+ 1 2.24532- 2 7.68620- 4 3.20000+ 1 3.50000+ 1 9.69877- 3 8.95620- 4 3.20000+ 1 3.60000+ 1 1.30331- 2 8.97730- 4 3.20000+ 1 4.10000+ 1 1.88332- 3 8.43060- 4 3.20000+ 1 4.30000+ 1 1.43441- 3 8.66640- 4 3.20000+ 1 4.40000+ 1 2.23922- 3 8.82140- 4 3.20000+ 1 5.80000+ 1 1.39931- 4 9.02060- 4 3.30000+ 1 3.30000+ 1 3.74079- 4 7.83220- 4 3.30000+ 1 3.50000+ 1 1.06932- 3 9.10220- 4 3.30000+ 1 3.60000+ 1 3.69748- 4 9.12330- 4 3.30000+ 1 4.10000+ 1 7.21362- 5 8.57660- 4 3.30000+ 1 4.30000+ 1 7.41062- 5 8.81240- 4 3.30000+ 1 4.40000+ 1 1.22592- 4 8.96740- 4 3.30000+ 1 5.80000+ 1 5.51854- 6 9.16660- 4 3.50000+ 1 3.50000+ 1 2.12063- 4 1.03722- 3 3.50000+ 1 3.60000+ 1 3.37814- 4 1.03933- 3 3.50000+ 1 4.10000+ 1 1.34411- 4 9.84660- 4 3.50000+ 1 4.30000+ 1 5.43969- 5 1.00824- 3 3.50000+ 1 4.40000+ 1 9.46039- 5 1.02374- 3 3.50000+ 1 5.80000+ 1 8.67208- 6 1.04366- 3 3.60000+ 1 3.60000+ 1 4.57237- 5 1.04144- 3 3.60000+ 1 4.10000+ 1 9.02682- 5 9.86770- 4 3.60000+ 1 4.30000+ 1 4.76959- 5 1.01035- 3 3.60000+ 1 4.40000+ 1 4.84839- 5 1.02585- 3 3.60000+ 1 5.80000+ 1 5.51851- 6 1.04577- 3 4.10000+ 1 4.10000+ 1 5.12446- 6 9.32100- 4 4.10000+ 1 4.30000+ 1 1.06433- 5 9.55680- 4 4.10000+ 1 4.40000+ 1 6.30692- 6 9.71180- 4 4.10000+ 1 5.80000+ 1 7.88360- 7 9.91100- 4 4.30000+ 1 4.30000+ 1 2.75917- 6 9.79260- 4 4.30000+ 1 4.40000+ 1 9.46049- 6 9.94760- 4 4.30000+ 1 5.80000+ 1 7.88356- 7 1.01468- 3 4.40000+ 1 4.40000+ 1 4.33593- 6 1.01026- 3 4.40000+ 1 5.80000+ 1 3.94173- 7 1.03018- 3 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 1.51720- 5 3.93840- 4 2.50000+ 1 3.60010- 4 4.12740- 4 3.00000+ 1 1.72610- 4 7.25190- 4 3.50000+ 1 1.30630- 5 9.82070- 4 3.60000+ 1 2.16380- 4 9.84180- 4 4.40000+ 1 2.41680- 5 9.68590- 4 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.20000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.40000+ 1 2.90000+ 1 8.80741- 3 2.57800- 5 2.40000+ 1 3.00000+ 1 1.63208- 2 1.24670- 4 2.40000+ 1 3.20000+ 1 8.33222- 3 2.39950- 4 2.40000+ 1 3.30000+ 1 1.11769- 1 2.54550- 4 2.40000+ 1 3.50000+ 1 1.96308- 3 3.81550- 4 2.40000+ 1 3.60000+ 1 1.70018- 3 3.83660- 4 2.40000+ 1 4.10000+ 1 2.19068- 3 3.28990- 4 2.40000+ 1 4.30000+ 1 1.47919- 3 3.52570- 4 2.40000+ 1 4.40000+ 1 1.76648- 3 3.68070- 4 2.40000+ 1 5.80000+ 1 1.61138- 4 3.87990- 4 2.50000+ 1 2.90000+ 1 1.42320- 1 4.46800- 5 2.50000+ 1 3.00000+ 1 1.20650- 1 1.43570- 4 2.50000+ 1 3.20000+ 1 1.23890- 1 2.58850- 4 2.50000+ 1 3.30000+ 1 2.16250- 1 2.73450- 4 2.50000+ 1 3.50000+ 1 1.08900- 2 4.00450- 4 2.50000+ 1 3.60000+ 1 1.70490- 2 4.02560- 4 2.50000+ 1 4.10000+ 1 2.59249- 2 3.47890- 4 2.50000+ 1 4.30000+ 1 2.22320- 2 3.71470- 4 2.50000+ 1 4.40000+ 1 1.59410- 2 3.86970- 4 2.50000+ 1 5.80000+ 1 1.92380- 3 4.06890- 4 2.70000+ 1 2.70000+ 1 1.72259- 3 1.02140- 4 2.70000+ 1 2.90000+ 1 2.55187- 3 1.80190- 4 2.70000+ 1 3.00000+ 1 3.16012- 3 2.79080- 4 2.70000+ 1 3.20000+ 1 2.64447- 3 3.94360- 4 2.70000+ 1 3.30000+ 1 1.41749- 2 4.08960- 4 2.70000+ 1 3.50000+ 1 2.74986- 3 5.35960- 4 2.70000+ 1 3.60000+ 1 4.20248- 3 5.38070- 4 2.70000+ 1 4.10000+ 1 3.80549- 4 4.83400- 4 2.70000+ 1 4.30000+ 1 2.85095- 4 5.06980- 4 2.70000+ 1 4.40000+ 1 3.33850- 4 5.22480- 4 2.70000+ 1 5.80000+ 1 2.72706- 5 5.42400- 4 2.90000+ 1 2.90000+ 1 3.84674- 4 2.58240- 4 2.90000+ 1 3.00000+ 1 3.56414- 3 3.57130- 4 2.90000+ 1 3.20000+ 1 6.30535- 4 4.72410- 4 2.90000+ 1 3.30000+ 1 1.37911- 2 4.87010- 4 2.90000+ 1 3.50000+ 1 3.82604- 4 6.14010- 4 2.90000+ 1 3.60000+ 1 7.40864- 4 6.16120- 4 2.90000+ 1 4.10000+ 1 1.72711- 4 5.61450- 4 2.90000+ 1 4.30000+ 1 8.67693- 5 5.85030- 4 2.90000+ 1 4.40000+ 1 2.65680- 4 6.00530- 4 2.90000+ 1 5.80000+ 1 1.19821- 5 6.20450- 4 3.00000+ 1 3.00000+ 1 1.14832- 3 4.56020- 4 3.00000+ 1 3.20000+ 1 2.46064- 3 5.71300- 4 3.00000+ 1 3.30000+ 1 1.74313- 2 5.85900- 4 3.00000+ 1 3.50000+ 1 7.74746- 4 7.12900- 4 3.00000+ 1 3.60000+ 1 9.86305- 4 7.15010- 4 3.00000+ 1 4.10000+ 1 9.37955- 5 6.60340- 4 3.00000+ 1 4.30000+ 1 1.36773- 4 6.83920- 4 3.00000+ 1 4.40000+ 1 1.98334- 4 6.99420- 4 3.00000+ 1 5.80000+ 1 5.78483- 6 7.19340- 4 3.20000+ 1 3.20000+ 1 1.43792- 4 6.86580- 4 3.20000+ 1 3.30000+ 1 1.77592- 2 7.01180- 4 3.20000+ 1 3.50000+ 1 2.73532- 4 8.28180- 4 3.20000+ 1 3.60000+ 1 1.02601- 3 8.30290- 4 3.20000+ 1 4.10000+ 1 7.10692- 5 7.75620- 4 3.20000+ 1 4.30000+ 1 5.04099- 5 7.99200- 4 3.20000+ 1 4.40000+ 1 2.18993- 4 8.14700- 4 3.20000+ 1 5.80000+ 1 4.95829- 6 8.34620- 4 3.30000+ 1 3.30000+ 1 1.95278- 2 7.15780- 4 3.30000+ 1 3.50000+ 1 1.16519- 2 8.42780- 4 3.30000+ 1 3.60000+ 1 1.36519- 2 8.44890- 4 3.30000+ 1 4.10000+ 1 2.05028- 3 7.90220- 4 3.30000+ 1 4.30000+ 1 1.93618- 3 8.13800- 4 3.30000+ 1 4.40000+ 1 2.27048- 3 8.29300- 4 3.30000+ 1 5.80000+ 1 1.52469- 4 8.49220- 4 3.50000+ 1 3.50000+ 1 5.12353- 5 9.69780- 4 3.50000+ 1 3.60000+ 1 3.51623- 4 9.71890- 4 3.50000+ 1 4.10000+ 1 1.13630- 4 9.17220- 4 3.50000+ 1 4.30000+ 1 3.84263- 5 9.40800- 4 3.50000+ 1 4.40000+ 1 6.23914- 5 9.56300- 4 3.50000+ 1 5.80000+ 1 7.02424- 6 9.76220- 4 3.60000+ 1 3.60000+ 1 3.04518- 4 9.74000- 4 3.60000+ 1 4.10000+ 1 1.88831- 4 9.19330- 4 3.60000+ 1 4.30000+ 1 5.99135- 5 9.42910- 4 3.60000+ 1 4.40000+ 1 9.54482- 5 9.58410- 4 3.60000+ 1 5.80000+ 1 1.15701- 5 9.78330- 4 4.10000+ 1 4.10000+ 1 1.11561- 5 8.64660- 4 4.10000+ 1 4.30000+ 1 1.44611- 5 8.88240- 4 4.10000+ 1 4.40000+ 1 1.07431- 5 9.03740- 4 4.10000+ 1 5.80000+ 1 1.65281- 6 9.23660- 4 4.30000+ 1 4.30000+ 1 2.89234- 6 9.11820- 4 4.30000+ 1 4.40000+ 1 1.19823- 5 9.27320- 4 4.30000+ 1 5.80000+ 1 8.26399- 7 9.47240- 4 4.40000+ 1 4.40000+ 1 9.50362- 6 9.42820- 4 4.40000+ 1 5.80000+ 1 8.26393- 7 9.62740- 4 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 2.04641- 4 4.46630- 4 3.30000+ 1 1.24271- 5 4.61230- 4 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.40000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.50000+ 1 3.50000+ 1 3.34298- 1 6.61000- 6 2.50000+ 1 3.60000+ 1 2.01169- 2 8.72000- 6 2.50000+ 1 5.80000+ 1 2.76878- 4 1.30500- 5 2.70000+ 1 3.30000+ 1 3.42473- 3 1.51200- 5 2.70000+ 1 3.50000+ 1 4.65885- 2 1.42120- 4 2.70000+ 1 3.60000+ 1 9.83949- 3 1.44230- 4 2.70000+ 1 4.10000+ 1 4.55784- 4 8.95600- 5 2.70000+ 1 4.30000+ 1 5.40975- 4 1.13140- 4 2.70000+ 1 4.40000+ 1 1.42701- 3 1.28640- 4 2.70000+ 1 5.80000+ 1 2.98173- 5 1.48560- 4 2.90000+ 1 3.20000+ 1 2.64709- 2 7.85700- 5 2.90000+ 1 3.30000+ 1 5.47808- 2 9.31700- 5 2.90000+ 1 3.50000+ 1 4.61848- 2 2.20170- 4 2.90000+ 1 3.60000+ 1 1.09649- 2 2.22280- 4 2.90000+ 1 4.10000+ 1 4.57267- 3 1.67610- 4 2.90000+ 1 4.30000+ 1 2.51529- 3 1.91190- 4 2.90000+ 1 4.40000+ 1 3.55248- 3 2.06690- 4 2.90000+ 1 5.80000+ 1 3.08819- 4 2.26610- 4 3.00000+ 1 3.00000+ 1 4.64738- 3 6.21800- 5 3.00000+ 1 3.20000+ 1 3.06185- 2 1.77460- 4 3.00000+ 1 3.30000+ 1 2.11724- 2 1.92060- 4 3.00000+ 1 3.50000+ 1 6.76111- 2 3.19060- 4 3.00000+ 1 3.60000+ 1 3.89536- 3 3.21170- 4 3.00000+ 1 4.10000+ 1 1.46742- 3 2.66500- 4 3.00000+ 1 4.30000+ 1 9.43486- 4 2.90080- 4 3.00000+ 1 4.40000+ 1 6.17650- 4 3.05580- 4 3.00000+ 1 5.80000+ 1 8.73195- 5 3.25500- 4 3.20000+ 1 3.20000+ 1 3.24161- 3 2.92740- 4 3.20000+ 1 3.30000+ 1 8.51034- 3 3.07340- 4 3.20000+ 1 3.50000+ 1 5.98413- 2 4.34340- 4 3.20000+ 1 3.60000+ 1 6.41503- 3 4.36450- 4 3.20000+ 1 4.10000+ 1 4.64303- 4 3.81780- 4 3.20000+ 1 4.30000+ 1 2.12551- 3 4.05360- 4 3.20000+ 1 4.40000+ 1 1.46110- 3 4.20860- 4 3.20000+ 1 5.80000+ 1 3.62061- 5 4.40780- 4 3.30000+ 1 3.30000+ 1 2.23844- 3 3.21940- 4 3.30000+ 1 3.50000+ 1 8.88935- 2 4.48940- 4 3.30000+ 1 3.60000+ 1 2.30874- 3 4.51050- 4 3.30000+ 1 4.10000+ 1 5.45239- 4 3.96380- 4 3.30000+ 1 4.30000+ 1 1.46962- 3 4.19960- 4 3.30000+ 1 4.40000+ 1 8.30614- 4 4.35460- 4 3.30000+ 1 5.80000+ 1 3.83366- 5 4.55380- 4 3.50000+ 1 3.50000+ 1 3.71254- 2 5.75940- 4 3.50000+ 1 3.60000+ 1 6.12897- 2 5.78050- 4 3.50000+ 1 4.10000+ 1 7.50758- 3 5.23380- 4 3.50000+ 1 4.30000+ 1 6.60877- 3 5.46960- 4 3.50000+ 1 4.40000+ 1 8.48540- 3 5.62460- 4 3.50000+ 1 5.80000+ 1 5.53756- 4 5.82380- 4 3.60000+ 1 3.60000+ 1 6.30436- 4 5.80160- 4 3.60000+ 1 4.10000+ 1 2.32156- 4 5.25490- 4 3.60000+ 1 4.30000+ 1 7.79521- 4 5.49070- 4 3.60000+ 1 4.40000+ 1 2.76887- 4 5.64570- 4 3.60000+ 1 5.80000+ 1 1.49083- 5 5.84490- 4 4.10000+ 1 4.10000+ 1 2.12983- 5 4.70820- 4 4.10000+ 1 4.30000+ 1 1.68252- 4 4.94400- 4 4.10000+ 1 4.40000+ 1 1.00101- 4 5.09900- 4 4.10000+ 1 5.80000+ 1 2.12983- 6 5.29820- 4 4.30000+ 1 4.30000+ 1 5.75060- 5 5.17980- 4 4.30000+ 1 4.40000+ 1 6.81553- 5 5.33480- 4 4.30000+ 1 5.80000+ 1 1.06493- 5 5.53400- 4 4.40000+ 1 4.40000+ 1 1.49078- 5 5.48980- 4 4.40000+ 1 5.80000+ 1 6.38932- 6 5.68900- 4 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.30000+ 1 2.88821- 4 4.42330- 4 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.50000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.70000+ 1 3.50000+ 1 1.25382- 2 1.23220- 4 2.70000+ 1 3.60000+ 1 7.27928- 2 1.25330- 4 2.70000+ 1 4.10000+ 1 6.76198- 4 7.06600- 5 2.70000+ 1 4.30000+ 1 1.98353- 3 9.42400- 5 2.70000+ 1 4.40000+ 1 1.38782- 3 1.09740- 4 2.70000+ 1 5.80000+ 1 4.18605- 5 1.29660- 4 2.90000+ 1 3.20000+ 1 3.08166- 3 5.96700- 5 2.90000+ 1 3.30000+ 1 6.55283- 3 7.42700- 5 2.90000+ 1 3.50000+ 1 8.17886- 4 2.01270- 4 2.90000+ 1 3.60000+ 1 6.27824- 2 2.03380- 4 2.90000+ 1 4.10000+ 1 1.86124- 3 1.48710- 4 2.90000+ 1 4.30000+ 1 4.18609- 4 1.72290- 4 2.90000+ 1 4.40000+ 1 4.57250- 4 1.87790- 4 2.90000+ 1 5.80000+ 1 1.09483- 4 2.07710- 4 3.00000+ 1 3.00000+ 1 2.87288- 2 4.32800- 5 3.00000+ 1 3.20000+ 1 7.37634- 2 1.58560- 4 3.00000+ 1 3.30000+ 1 1.40289- 1 1.73160- 4 3.00000+ 1 3.50000+ 1 1.70589- 2 3.00160- 4 3.00000+ 1 3.60000+ 1 1.13769- 1 3.02270- 4 3.00000+ 1 4.10000+ 1 4.50157- 3 2.47600- 4 3.00000+ 1 4.30000+ 1 1.53919- 3 2.71180- 4 3.00000+ 1 4.40000+ 1 3.09118- 3 2.86680- 4 3.00000+ 1 5.80000+ 1 2.89808- 4 3.06600- 4 3.20000+ 1 3.20000+ 1 1.17211- 3 2.73840- 4 3.20000+ 1 3.30000+ 1 1.36111- 2 2.88440- 4 3.20000+ 1 3.50000+ 1 2.17032- 3 4.15440- 4 3.20000+ 1 3.60000+ 1 9.64395- 2 4.17550- 4 3.20000+ 1 4.10000+ 1 6.98744- 4 3.62880- 4 3.20000+ 1 4.30000+ 1 6.72974- 4 3.86460- 4 3.20000+ 1 4.40000+ 1 1.77742- 3 4.01960- 4 3.20000+ 1 5.80000+ 1 4.83003- 5 4.21880- 4 3.30000+ 1 3.30000+ 1 8.28498- 3 3.03040- 4 3.30000+ 1 3.50000+ 1 9.30579- 3 4.30040- 4 3.30000+ 1 3.60000+ 1 1.26830- 1 4.32150- 4 3.30000+ 1 4.10000+ 1 8.62959- 4 3.77480- 4 3.30000+ 1 4.30000+ 1 1.04970- 3 4.01060- 4 3.30000+ 1 4.40000+ 1 3.71260- 3 4.16560- 4 3.30000+ 1 5.80000+ 1 6.43989- 5 4.36480- 4 3.50000+ 1 3.50000+ 1 6.76198- 4 5.57040- 4 3.50000+ 1 3.60000+ 1 7.38098- 2 5.59150- 4 3.50000+ 1 4.10000+ 1 3.34884- 4 5.04480- 4 3.50000+ 1 4.30000+ 1 8.05019- 5 5.28060- 4 3.50000+ 1 4.40000+ 1 1.11742- 3 5.43560- 4 3.50000+ 1 5.80000+ 1 2.25393- 5 5.63480- 4 3.60000+ 1 3.60000+ 1 7.31520- 2 5.61260- 4 3.60000+ 1 4.10000+ 1 1.12086- 2 5.06590- 4 3.60000+ 1 4.30000+ 1 9.41812- 3 5.30170- 4 3.60000+ 1 4.40000+ 1 1.33075- 2 5.45670- 4 3.60000+ 1 5.80000+ 1 8.24276- 4 5.65590- 4 4.10000+ 1 4.10000+ 1 2.89809- 5 4.51920- 4 4.10000+ 1 4.30000+ 1 1.22350- 4 4.75500- 4 4.10000+ 1 4.40000+ 1 2.18960- 4 4.91000- 4 4.10000+ 1 5.80000+ 1 3.22010- 6 5.10920- 4 4.30000+ 1 4.30000+ 1 1.28792- 5 4.99080- 4 4.30000+ 1 4.40000+ 1 6.11800- 5 5.14580- 4 4.30000+ 1 5.80000+ 1 9.66014- 6 5.34500- 4 4.40000+ 1 4.40000+ 1 5.47402- 5 5.30080- 4 4.40000+ 1 5.80000+ 1 1.28791- 5 5.50000- 4 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 1.11640- 6 7.80500- 5 3.00000+ 1 2.66940- 5 1.76940- 4 4.30000+ 1 3.39660- 6 4.04840- 4 4.40000+ 1 7.96121- 8 4.20340- 4 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.70000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 2.90000+ 1 3.50000+ 1 6.08379- 2 6.57600- 5 2.90000+ 1 3.60000+ 1 1.07346- 1 6.78700- 5 2.90000+ 1 4.10000+ 1 1.93023- 2 1.32000- 5 2.90000+ 1 4.30000+ 1 1.33915- 2 3.67800- 5 2.90000+ 1 4.40000+ 1 2.14613- 2 5.22800- 5 2.90000+ 1 5.80000+ 1 1.38075- 3 7.22000- 5 3.00000+ 1 3.20000+ 1 1.28237- 1 2.30500- 5 3.00000+ 1 3.30000+ 1 1.12898- 1 3.76500- 5 3.00000+ 1 3.50000+ 1 1.47407- 1 1.64650- 4 3.00000+ 1 3.60000+ 1 1.32237- 1 1.66760- 4 3.00000+ 1 4.10000+ 1 1.45887- 2 1.12090- 4 3.00000+ 1 4.30000+ 1 1.48707- 2 1.35670- 4 3.00000+ 1 4.40000+ 1 1.10928- 2 1.51170- 4 3.00000+ 1 5.80000+ 1 1.05898- 3 1.71090- 4 3.20000+ 1 3.20000+ 1 1.39482- 3 1.38330- 4 3.20000+ 1 3.30000+ 1 1.01971- 1 1.52930- 4 3.20000+ 1 3.50000+ 1 4.24945- 3 2.79930- 4 3.20000+ 1 3.60000+ 1 1.56272- 2 2.82040- 4 3.20000+ 1 4.10000+ 1 5.08277- 3 2.27370- 4 3.20000+ 1 4.30000+ 1 1.10832- 3 2.50950- 4 3.20000+ 1 4.40000+ 1 3.46905- 3 2.66450- 4 3.20000+ 1 5.80000+ 1 3.07034- 4 2.86370- 4 3.30000+ 1 3.30000+ 1 2.32785- 2 1.67530- 4 3.30000+ 1 3.50000+ 1 1.79206- 2 2.94530- 4 3.30000+ 1 3.60000+ 1 1.17368- 2 2.96640- 4 3.30000+ 1 4.10000+ 1 7.10566- 3 2.41970- 4 3.30000+ 1 4.30000+ 1 3.08354- 3 2.65550- 4 3.30000+ 1 4.40000+ 1 2.22355- 3 2.81050- 4 3.30000+ 1 5.80000+ 1 4.27451- 4 3.00970- 4 3.50000+ 1 3.50000+ 1 8.04609- 5 4.21530- 4 3.50000+ 1 3.60000+ 1 2.61067- 3 4.23640- 4 3.50000+ 1 4.10000+ 1 3.19356- 3 3.68970- 4 3.50000+ 1 4.30000+ 1 3.01006- 4 3.92550- 4 3.50000+ 1 4.40000+ 1 7.01270- 4 4.08050- 4 3.50000+ 1 5.80000+ 1 1.78547- 4 4.27970- 4 3.60000+ 1 3.60000+ 1 4.96827- 4 4.25750- 4 3.60000+ 1 4.10000+ 1 3.95640- 3 3.71080- 4 3.60000+ 1 4.30000+ 1 6.77132- 4 3.94660- 4 3.60000+ 1 4.40000+ 1 4.48898- 4 4.10160- 4 3.60000+ 1 5.80000+ 1 2.21055- 4 4.30080- 4 4.10000+ 1 4.10000+ 1 4.09761- 4 3.16410- 4 4.10000+ 1 4.30000+ 1 4.82007- 4 3.39990- 4 4.10000+ 1 4.40000+ 1 6.33231- 4 3.55490- 4 4.10000+ 1 5.80000+ 1 5.31025- 5 3.75410- 4 4.30000+ 1 4.30000+ 1 4.32801- 5 3.63570- 4 4.30000+ 1 4.40000+ 1 2.35275- 4 3.79070- 4 4.30000+ 1 5.80000+ 1 2.62555- 5 3.98990- 4 4.40000+ 1 4.40000+ 1 8.63060- 5 3.94570- 4 4.40000+ 1 5.80000+ 1 3.65042- 5 4.14490- 4 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.28010- 4 2.14170- 4 4.10000+ 1 1.34510- 5 3.03210- 4 5.80000+ 1 1.09850- 6 3.62210- 4 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 2.90000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.00000+ 1 3.50000+ 1 3.19539- 2 8.66000- 5 3.00000+ 1 3.60000+ 1 1.83849- 2 8.87100- 5 3.00000+ 1 4.10000+ 1 1.28119- 2 3.40400- 5 3.00000+ 1 4.30000+ 1 9.20035- 3 5.76200- 5 3.00000+ 1 4.40000+ 1 7.11367- 3 7.31200- 5 3.00000+ 1 5.80000+ 1 7.02207- 4 9.30400- 5 3.20000+ 1 3.20000+ 1 6.87239- 2 6.02800- 5 3.20000+ 1 3.30000+ 1 2.73960- 1 7.48800- 5 3.20000+ 1 3.50000+ 1 1.00430- 1 2.01880- 4 3.20000+ 1 3.60000+ 1 2.23539- 1 2.03990- 4 3.20000+ 1 4.10000+ 1 3.15990- 2 1.49320- 4 3.20000+ 1 4.30000+ 1 2.09609- 2 1.72900- 4 3.20000+ 1 4.40000+ 1 2.79870- 2 1.88400- 4 3.20000+ 1 5.80000+ 1 2.40020- 3 2.08320- 4 3.30000+ 1 3.30000+ 1 1.08784- 2 8.94800- 5 3.30000+ 1 3.50000+ 1 5.56572- 2 2.16480- 4 3.30000+ 1 3.60000+ 1 1.26013- 2 2.18590- 4 3.30000+ 1 4.10000+ 1 3.30294- 3 1.63920- 4 3.30000+ 1 4.30000+ 1 1.52062- 2 1.87500- 4 3.30000+ 1 4.40000+ 1 2.88635- 3 2.03000- 4 3.30000+ 1 5.80000+ 1 2.07529- 4 2.22920- 4 3.50000+ 1 3.50000+ 1 4.81159- 3 3.43480- 4 3.50000+ 1 3.60000+ 1 2.97450- 2 3.45590- 4 3.50000+ 1 4.10000+ 1 3.71999- 3 2.90920- 4 3.50000+ 1 4.30000+ 1 7.36328- 3 3.14500- 4 3.50000+ 1 4.40000+ 1 3.24020- 3 3.30000- 4 3.50000+ 1 5.80000+ 1 2.74989- 4 3.49920- 4 3.60000+ 1 3.60000+ 1 1.58288- 3 3.47700- 4 3.60000+ 1 4.10000+ 1 1.42198- 3 2.93030- 4 3.60000+ 1 4.30000+ 1 1.13698- 2 3.16610- 4 3.60000+ 1 4.40000+ 1 1.11768- 3 3.32110- 4 3.60000+ 1 5.80000+ 1 8.76118- 5 3.52030- 4 4.10000+ 1 4.10000+ 1 1.00189- 4 2.38360- 4 4.10000+ 1 4.30000+ 1 1.44849- 3 2.61940- 4 4.10000+ 1 4.40000+ 1 2.42458- 4 2.77440- 4 4.10000+ 1 5.80000+ 1 1.23609- 5 2.97360- 4 4.30000+ 1 4.30000+ 1 8.66399- 4 2.85520- 4 4.30000+ 1 4.40000+ 1 1.74550- 3 3.01020- 4 4.30000+ 1 5.80000+ 1 1.11900- 4 3.20940- 4 4.40000+ 1 4.40000+ 1 7.39501- 5 3.16520- 4 4.40000+ 1 5.80000+ 1 1.43128- 5 3.36440- 4 1 100000 0 7 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92931 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 1.44899- 6 1.15280- 4 3.30000+ 1 1.89769- 5 1.29880- 4 4.10000+ 1 9.54487- 6 2.04320- 4 5.80000+ 1 7.57377- 7 2.63320- 4 1 100000 0 9 2.57000+ 2 901205 2 0.00000+ 0 1.00000+50 0.00000+ 0 92932 91 .00000+ 0 3.00000+ 1 .00000+ 0 .00000+ 0 .00000+ 0 3.20000+ 1 3.50000+ 1 2.85134- 2 1.02990- 4 3.20000+ 1 3.60000+ 1 1.07551- 1 1.05100- 4 3.20000+ 1 4.10000+ 1 6.55017- 3 5.04300- 5 3.20000+ 1 4.30000+ 1 4.56155- 3 7.40100- 5 3.20000+ 1 4.40000+ 1 1.13182- 2 8.95100- 5 3.20000+ 1 5.80000+ 1 3.94724- 4 1.09430- 4 3.30000+ 1 3.50000+ 1 3.67154- 1 1.17590- 4 3.30000+ 1 3.60000+ 1 3.22425- 1 1.19700- 4 3.30000+ 1 4.10000+ 1 3.15235- 2 6.50300- 5 3.30000+ 1 4.30000+ 1 3.22405- 2 8.86100- 5 3.30000+ 1 4.40000+ 1 2.99435- 2 1.04110- 4 3.30000+ 1 5.80000+ 1 2.32066- 3 1.24030- 4 3.50000+ 1 3.50000+ 1 7.74887- 4 2.44590- 4 3.50000+ 1 3.60000+ 1 1.74577- 2 2.46700- 4 3.50000+ 1 4.10000+ 1 2.74266- 3 1.92030- 4 3.50000+ 1 4.30000+ 1 8.13286- 4 2.15610- 4 3.50000+ 1 4.40000+ 1 6.13110- 3 2.31110- 4 3.50000+ 1 5.80000+ 1 9.12465- 5 2.51030- 4 3.60000+ 1 3.60000+ 1 6.93884- 3 2.48810- 4 3.60000+ 1 4.10000+ 1 5.07286- 3 1.94140- 4 3.60000+ 1 4.30000+ 1 3.88216- 3 2.17720- 4 3.60000+ 1 4.40000+ 1 7.35383- 3 2.33220- 4 3.60000+ 1 5.80000+ 1 2.38228- 4 2.53140- 4 4.10000+ 1 4.10000+ 1 2.77583- 4 1.39470- 4 4.10000+ 1 4.30000+ 1 3.72451- 4 1.63050- 4 4.10000+ 1 4.40000+ 1 1.19917- 3 1.78550- 4 4.10000+ 1 5.80000+ 1 3.35851- 5 1.98470- 4 4.30000+ 1 4.30000+ 1 5.89855- 6 1.86630- 4 4.30000+ 1 4.40000+ 1 1.05001- 3 2.02130- 4 4.30000+ 1 5.80000+ 1 1.46861- 5 2.22050- 4 4.40000+ 1 4.40000+ 1 9.43426- 4 2.17630- 4 4.40000+ 1 5.80000+ 1 7.89702- 5 2.37550- 4 1 PyMca5-5.2.2/PyMca5/EPDL97/GenerateEPDL97TotalCrossSections.py0000644000276300001750000001700113136054446023411 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__= "Generate specfile from EPL97 total cross sections in keV and barn" import os import sys import EPDL97Parser as EPDLParser Elements = EPDLParser.Elements AVOGADRO_NUMBER = EPDLParser.AVOGADRO_NUMBER import numpy log = numpy.log exp = numpy.exp getTotalCoherentCrossSection = EPDLParser.getTotalCoherentCrossSection getTotalIncoherentCrossSection = EPDLParser.getTotalIncoherentCrossSection getTotalPhotoelectricCrossSection = EPDLParser.getTotalPhotoelectricCrossSection getTotalPairCrossSection = EPDLParser.getTotalPairCrossSection getTotalTripletCrossSection = EPDLParser.getTotalTripletCrossSection def getHeader(filename): text = '#F %s\n' % filename text += '#U00 This file is a direct conversion to specfile format of \n' text += '#U01 the original EPDL97 total cross sections contained in the\n' text += '#U02 EPDL97.DAT from the library.\n' text += '#U03 EPDL97 itself can be found at:\n' text += '#U04 http://www-nds.iaea.org/epdl97/libsall.htm\n' text += '\n' return text if __name__ == "__main__": if len(sys.argv) < 3: print("Usage:") print("python EPDLGenerateTotalCrossSections SPEC_output_filename barns_flag") sys.exit(0) fname = sys.argv[1] if os.path.exists(fname): os.remove(fname) if int(sys.argv[2]): BARNS = True else: BARNS = False print("BARNS = %s" % BARNS) outfile = open(fname, 'wb') outfile.write(getHeader(fname)) for i in range(1, 101): print("i = %d element = %s" % (i, Elements[i-1])) #coherent energy_cohe, value_cohe, mode_cohe = getTotalCoherentCrossSection(i, getmode=True) #incoherent energy_incohe, value_incohe, mode_incohe = getTotalIncoherentCrossSection(i, getmode=True) #photoelectric energy_photo, value_photo, mode_photo = getTotalPhotoelectricCrossSection(i, getmode=True) #check to see the energies: #for j in range(10): # print energy_cohe[j], energy_incohe[j], energy_photo[j] #to select an appropriate energy grid as close as possible to the original #while keeping in mind the PyMca goals, I use the coherent energy grid till #the non-zero first value of the photoelectric cross section. At that point, #I use the photoelectric energy grid. energy = numpy.concatenate((energy_cohe[energy_cohe=energy_photo[0]] = value_photo[:] #convert to keV and cut at 500 keV energy *= 1000. indices = numpy.nonzero(energy<=500.) energy = energy[indices] photo = photo[indices] cohe = cohe[indices] incohe = incohe[indices] #I cut at 500 keV, I do not need to take the pair production total = photo + cohe + incohe #now I am ready to write a Specfile ele = Elements[i-1] text = '#S %d %s\n' % (i, ele) text += '#N 5\n' labels = '#L PhotonEnergy[keV]' labels += ' Rayleigh(coherent)[barn/atom]' labels += ' Compton(incoherent)[barn/atom]' labels += ' CoherentPlusIncoherent[barn/atom]' labels += ' Photoelectric[barn/atom]' labels += ' TotalCrossSection[barn/atom]\n' if not BARNS: labels = labels.replace("barn/atom", "cm2/g") factor = (1.0E-24*AVOGADRO_NUMBER)/EPDLParser.getAtomicWeights()[i-1] else: factor = 1.0 text += labels if 0: fformat = "%g %g %g %g %g %g\n" else: fformat = "%.6E %.6E %.6E %.6E %.6E %.6E\n" outfile.write(text) for n in range(len(energy)): line = fformat % (energy[n], cohe[n] * factor, incohe[n] * factor, (cohe[n]+incohe[n]) * factor, photo[n] * factor, total[n] * factor) outfile.write(line) outfile.write('\n') outfile.close() PyMca5-5.2.2/PyMca5/EPDL97/EADLParser.py0000644000276300001750000010313413136054446017171 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Software Group" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os __doc__ =\ """ The 1997 release of the Evaluated Atomic Data Library (EADL97) This module parses the EADL.DAT file that can be downloaded from: http://www-nds.iaea.org/epdl97/libsall.htm EADL contains atomic relaxation information for use in particle transport analysis for atomic number Z = 1-100 and for each subshell. The original units are in cm and MeV. The specific data are: - Subshell data a) number of electrons b) binding and kinetic energy (MeV) c) average radius (cm) d) radiative and non-radiative level widths (MeV) e) average number of released electrons and x-rays f) average energy of released electrons and x-rays (MeV) g) average energy to the residual atom, i.e., local deposition (MeV) - Transition probability data a) radiation transition probabilities b) non-radiative transition probabilities The data are organized in blocks with headers. The first line of the header: Columns Format Definition 1-3 I3 Z - atomic number 4-6 I3 A - mass number (in all cases=0 for elemental data) 8-9 I2 Yi - incident particle designator (7 is photon) 11-12 I2 Yo - outgoing particle designator (0, no particle 7, photon 8, positron 9, electron) 14-24 E11.4 AW - atomic mass (amu) 26-31 I6 Date of evaluation (YYMMDD) The second line of the header: Columns Format Definition 1-2 I2 C - reaction descriptor = 71, coherent scattering = 72, incoherent scattering = 73, photoelectric effect = 74, pair production = 75, triplet production = 91, subshell parameters = 92, transition probabilities = 93, whole atom parameters 3-5 I2 I - reaction property: = 0, integrated cross section = 10, avg. energy of Yo = 11, avg. energy to the residual atom = 912, number of electrons = 913, binding energy = 914, kinetic energy = 915, average radius = 921, radiative level width = 922, non-radiative level width = 931, radiative transition probability = 932, non-radiative transition probability = 933, particles per initial vacancy = 934, energy of particles per initial vacancy = 935, average energy to the residual atom, i.e. local deposition, per initial vacancy --- moved to EPDL97 --- = 941, form factor = 942, scattering function = 943, imaginary anomalous scatt. factor = 944, real anomalous scatt. factor 6-8 I3 S - reaction modifier: = 0 no X1 field data required = 91 X1 field data required 22-32 #11.4 X1 - subshell designator 0 if S is 0 if S is 91, subshell designator Summary of the EADL Data Base -------------------------------------------------------------------------- Yi C S X1 Yo I Data Types -------------------------------------------------------------------------- Subshell parameters -------------------------------------------------------------------------- 0 91 0 0. 0 912 number of electrons 0 91 0 0. 0 913 binding energy 0 91 0 0. 0 914 kinetic energy 0 91 0 0. 0 915 average radius 0 91 0 0. 0 921 radiative level width 0 91 0 0. 0 921 non-radiative level width -------------------------------------------------------------------------- Transititon probabilities -------------------------------------------------------------------------- 0 92 0 0. 0 935 average energy to the residual atom 0 92 0 0. 7 or 9 933 average number of particles per initial vacancy 0 92 0 0. 7 or 9 934 average energy of particles per initial vacancy 0 92 91 * 0 931 radiative transition probability 0 92 91 * 0 932 non-radiative transition probability --------------------------------------------------------------------------- Yi C S X1 Yo I Data Types -------------------------------------------------------------------------- * -> Subshell designator Data sorted in ascending order Z -> C -> S -> X1 -> Yo -> I """ import numpy #Translation from EADL index to actual shell (Table VI) import EADLSubshells SHELL_LIST = EADLSubshells.SHELL_LIST getSubshellFromValue = EADLSubshells.getSubshellFromValue getValueFromSubshell = EADLSubshells.getValueFromSubshell DEBUG = 0 AVOGADRO_NUMBER = 6.02214179E23 # Elements = ['H', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr', 'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe', 'Cs', 'Ba', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn', 'Fr', 'Ra', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt'] #Read the EPDL library # Try to find it in the local directory EADL = os.path.join(os.path.dirname(__file__), 'EADL.DAT') if not os.path.exists(EADL): from PyMca5 import PyMcaDataDir EADL = os.path.join(PyMcaDataDir.PYMCA_DATA_DIR, 'EPDL97', 'EADL.DAT') infile = open(EADL, 'rb') if sys.version < '3.0': EADL97_DATA = infile.read() else: EADL97_DATA = infile.read().decode('UTF-8') infile.close() #speed up sequential access LAST_INDEX = -1 #properly write exponential notation #EADL97_DATA = EADL97_DATA.replace('- ', ' ') #EADL97_DATA = EADL97_DATA.replace('+ ', ' ') EADL97_DATA = EADL97_DATA.replace('- ', 'E-') EADL97_DATA = EADL97_DATA.replace('+ ', 'E+') #get rid of tabs if any EADL97_DATA = EADL97_DATA.replace('\t', ' ') #get rid of carriage returns if any EADL97_DATA = EADL97_DATA.replace('\r\n', '\n') EADL97_DATA = EADL97_DATA.split('\n') #Now I have a huge list with all the lines EADL97_ATOMIC_WEIGHTS = None def getParticle(value): """ Returns one of ['none', 'photon', 'positron', 'electron'] following the convention: 0 = no particle 7 = photon 8 = positron 9 = electron) """ if value == 7: return 'photon' if value == 0: return 'none' if value == 9: return 'electron' if value == 8: return 'positron' raise ValueError('Invalid particle code') def getReactionFromCode(value): """ The input value must be one of: 91, 92, 73, 74, 75 Returns one of coherent, incoherent, photoelectric, pair, triplet according to the integer EADL97 code of the reaction: 91 <-> subshell parameters 92 <-> transition probabilities 93 <-> whole atom parameters """ if value == 91: return 'subshell' if value == 92: return 'transition' raise ValueError('Invalid reaction descriptor code') def getReactionPropertyFromCode(value): """ The input value must be one of: 0, 10, 11, 941, 942, 943, 944 according to the integer EPDL97 code of the reaction property: 0 <-> integrated cross section 10 <-> avg. energy of Yo 11 <-> avg. energy to the residual atom 912 <-> number of electrons 913 <-> binding energy 914 <-> kinetic energy 915 <-> average radius 921 <-> radiative level width 922 <-> non-radiative level width 931 <-> radiative transition probability 932 <-> non-radiative transition probability 934 <-> energy of particles per initial vacancy 935 <-> average energy to the residual atom, i.e. 941 <-> form factor 942 <-> scattering function 943 <-> imaginary anomalous scatt. factor 944 <-> real anomalous scatt. factor """ if value == 0: return 'cross_section' if value == 10: return 'secondary_particle_energy' if value == 11: return 'atom_energy_transfer' if value == 912: return 'number_of_electrons' if value == 913: return 'binding_energy' if value == 914: return 'kinetic_energy' if value == 915: return 'average_radius' if value == 921: return 'radiative_level_width' if value == 922: return 'non-radiative_level_width' if value == 931: return 'radiative_transition_probability' if value == 932: return 'non-radiative_transition_probability' if value == 933: return 'particles_per_initial_vacancy' if value == 934: return 'energy_of_particles_per_initial_vacancy' if value == 935: return 'average_energy_to_the_residual_atom' if value == 941: return 'form_factor' if value == 942: return 'scattering_function' if value == 943: return 'imaginary_anomalous_scattering_factor' if value == 944: return 'real_anomalous_scattering_factor' raise ValueError('Invalid reaction property descriptor code') def parseHeader0(line): """ Columns Format Definition 1-3 I3 Z - atomic number 4-6 I3 A - mass number (in all cases=0 for elemental data) 8-9 I2 Yi - incident particle designator (7 is photon) 11-12 I2 Yo - outgoing particle designator (0, no particle 7, photon 8, positron 9, electron) 14-24 E11.4 AW - atomic mass (amu) 26-31 I6 Date of evaluation (YYMMDD) """ item0 = line[0:6] items = line[6:].split() Z = int(item0[0:3]) A = int(item0[3:6]) Yi = int(items[0]) Yo = int(items[1]) AW = float(items[2]) Date = items[4] ddict={} ddict['atomic_number'] = Z ddict['mass_number'] = A ddict['atomic_mass'] = AW ddict['incident_particle'] = getParticle(Yi) ddict['incident_particle_value'] = Yi ddict['outgoing_particle'] = getParticle(Yo) ddict['outgoing_particle_value'] = Yo ddict['date'] = Date ddict['Z'] = Z ddict['A'] = A ddict['Yi'] = Yi ddict['Yo'] = Yo ddict['AW'] = AW return ddict def parseHeader1(line): """ The second line of the header: Columns Format Definition 1-2 I2 C - reaction descriptor = 71, coherent scattering = 72, incoherent scattering = 73, photoelectric effect = 74, pair production = 75, triplet production = 91, subshell parameters = 92, transition probabilities = 93, whole atom parameters 3-5 I2 I - reaction property: = 0, integrated cross section = 10, avg. energy of Yo = 11, avg. energy to the residual atom = 912, number of electrons = 913, binding energy = 914, kinetic energy = 915, average radius = 921, radiative level width = 922, non-radiative level width = 931, radiative transition probability = 932, non-radiative transition probability = 934, energy of particles per initial vacancy = 935, average energy to the residual atom, i.e. local deposition, per initial vacancy --- moved to EPDL97 --- = 941, form factor = 942, scattering function = 943, imaginary anomalous scatt. factor = 944, real anomalous scatt. factor 6-8 I3 S - reaction modifier: = 0 no X1 field data required = 91 X1 field data required 22-32 #11.4 X1 - subshell designator 0 if S is 0 if S is 91, subshell designator """ item0 = line[0:6] items = line[6:].split() C = int(item0[0:2]) I = int(item0[2:6]) S = int(items[0]) #there seems to be some dummy number in between X1 = float(items[2]) ddict={} ddict['reaction_code'] = C ddict['reaction'] = getReactionFromCode(C) ddict['reaction_property'] = getReactionPropertyFromCode(I) ddict['reaction_property_code'] = I ddict['C'] = C ddict['I'] = I ddict['S'] = S ddict['X1'] = X1 if S == 91: ddict['subshell_code'] = X1 if X1 != 0.0: ddict['subshell'] = getSubshellFromValue(X1) else: ddict['subshell'] = 'none' elif (S == 0) and (X1 == 0.0): ddict['subshell_code'] = 0 ddict['subshell'] = 'none' else: print("Inconsistent data") print("X1 = ", X1, "S = ", S) sys.exit(1) return ddict def parseHeader(line0, line1): #print "line0 = ", line0 #print "line1 = ", line1 ddict = parseHeader0(line0) ddict.update(parseHeader1(line1)) return ddict if 0: ddict = parseHeader0(EADL97_DATA[0]) for key in ddict.keys(): print(key, ddict[key]) if 0: ddict = parseHeader1(EADL97_DATA[1]) for key in ddict.keys(): print(key, ddict[key]) def getDataLineIndex(lines, z, Yi, C, S, X1, Yo, I): global LAST_INDEX if (z < 1) or (z>100): raise ValueError("Invalid atomic number %d" % z) nlines = len(lines) i = LAST_INDEX while i < (nlines-1): i += 1 line = lines[i] if len(line.split()) < 9: """ i += 2 while len(lines[i+1].split()) != 1: print lines[i+1] if i>=5: sys.exit(0) i += 1 """ continue try: ddict = parseHeader(lines[i], lines[i+1]) except: print("Error with lines") print("line index = %d" % i) print(lines[i]) print(lines[i+1]) print(sys.exc_info()) raise if 0: print(ddict['Z'], z) print(ddict['Yi'], Yi) print(ddict['C'], C) print(ddict['S'], S) print(ddict['X1'], X1) print(ddict['Yo'], Yo) print(ddict['I'], I) if DEBUG: if ddict['Z'] == z: print("Z found") if ddict['Yi'] == Yi: print("Yi found") if ddict['C'] == C: print("C found") if ddict['S'] == S: print("S found with X1 = ", ddict['X1']) print("Requested X1 = ", X1) print(lines[i]) print(lines[i+1]) if ddict['X1'] == X1: print("Requested Yo = ", Yo) print("Found Yo = ", ddict['Yo']) if ddict['Yo'] == Yo: print("Requested I = ",I) if ddict['I'] == I: print("FOUND!") print(lines[i]) print(lines[i+1]) LAST_INDEX = i - 1 return i break else: if ddict['Z'] == z: if ddict['Yi'] == Yi: if ddict['C'] == C: if ddict['S'] == S: if ddict['X1'] == X1: if ddict['Yo'] == Yo: if ddict['I'] == I: LAST_INDEX = i - 1 return i break i += 1 if LAST_INDEX > 0: if DEBUG: print("REPEATING") LAST_INDEX = -1 return getDataLineIndex(lines, z, Yi, C, S, X1, Yo, I) return -1 def getActualDataFromLinesAndOffset(lines, index): data_begin = index + 2 data_end = index + 2 end_line = lines[data_end+1] while (len(end_line) != 72) and (end_line[-1] != '1'): data_end += 1 end_line = lines[data_end + 1] data_end += 1 if DEBUG: print("COMPLETE DATA SET") print(lines[index:data_end]) print("END DATA SET") print("ADDITIONAL LINE") print(lines[data_end]) print("END ADDITIONAL LINE") ndata = data_end - data_begin energy = numpy.zeros((ndata,), numpy.float) t = lines[data_begin].split() if len(t) == 2: value = numpy.zeros((ndata,), numpy.float) for i in range(ndata): t = lines[data_begin+i].split() energy[i] = float(t[0]) try: value[i] = float(t[1]) except ValueError: if ('E' not in t[1]) and (('+' in t[1]) or ('-' in t[1])): t[1] = t[1].replace('-','E-') t[1] = t[1].replace('+','E+') value[i] = float(t[1]) else: raise else: value = [] for i in range(ndata): t = lines[data_begin+i].split() energy[i] = float(t[0]) value.append([]) for j in range(0, len(t)-1): tj = t[j+1] try: value[i].append(float(tj)) except ValueError: if ('E' not in tj) and (('+' in tj) or ('-' in tj)): tj = tj.replace('-','E-') tj = tj.replace('+','E+') value[i].append(float(tj)) else: raise return energy, value def getBaseShellDict(nvalues=None): bad_shells = ['L (', 'L23', 'M (', 'M23', 'M45', 'N (', 'N23', 'N45', 'N67', 'O (', 'O23', 'O45', 'O67', 'O89', 'P (', 'P23', 'P45', 'P67', 'P89', 'P101', 'Q (', 'Q23', 'Q45', 'Q67'] ddict = {} for shell in SHELL_LIST: if shell[0:3] in bad_shells: continue if shell[0:4] in bad_shells: continue if nvalues is None: ddict[shell] = 0.0 else: ddict[shell] = [0.0] * nvalues return ddict def getBaseShellList(): bad_shells = ['L (', 'L23', 'M (', 'M23', 'M45', 'N (', 'N23', 'N45', 'N67', 'O (', 'O23', 'O45', 'O67', 'O89', 'P (', 'P23', 'P45', 'P67', 'P89', 'P101', 'Q (', 'Q23', 'Q45', 'Q67'] ddict = [] for shell in SHELL_LIST: if shell[0:3] in bad_shells: continue if shell[0:4] in bad_shells: continue ddict.append(shell) return ddict def getRadiativeWidths(z, lines=None): #Yi C S X1 Yo I #0 91 0 0. 0 921 Radiative widths ddict = getBaseShellDict() if z < 6: return ddict if lines is None: lines = EADL97_DATA index = getDataLineIndex(lines, z, 0, 91, 0, 0., 0, 921) if index < 0: raise IOError("Requested data not found") shell_codes, value = getActualDataFromLinesAndOffset(lines, index) if DEBUG: print("shell_codes, value ",shell_codes, value) i = 0 ddict = getBaseShellDict() for code in shell_codes: shell = getSubshellFromValue(code) ddict[shell] = value[i] i += 1 return ddict def getNonradiativeWidths(z, lines=None): #Yi C S X1 Yo I #0 91 0 0. 0 922 Nonradiative widths ddict = getBaseShellDict() if z < 6: return ddict if lines is None: lines = EADL97_DATA index = getDataLineIndex(lines, z, 0, 91, 0, 0., 0, 922) if index < 0: raise IOError("Requested data not found") shell_codes, value = getActualDataFromLinesAndOffset(lines, index) if DEBUG: print("shell_codes, value ",shell_codes, value) i = 0 ddict = getBaseShellDict() for code in shell_codes: shell = getSubshellFromValue(code) ddict[shell] = value[i] i += 1 return ddict def getRadiativeTransitionProbabilities(z, shell='K', lines=None): """ getRadiativeTransitionProbabilities(z, shell='K') Returns a dictionary with the radiative transition probabilities from any shell to the given shell. """ #Yi C S X1 Yo I #0 92 91 1. 7 931 K Shell #0 92 91 2. 7 931 L1 Shell #0 92 91 5. 7 931 L2 Shell #0 92 91 6. 7 931 L3 Shell #0 92 91 8. 7 931 M1 Shell #0 92 91 10. 7 931 M2 Shell #0 92 91 11. 7 931 M3 Shell #0 92 91 13. 7 931 M4 Shell #0 92 91 14. 7 931 M5 Shell ddict = getBaseShellDict(nvalues=2) if z < 6: return ddict if lines is None: lines = EADL97_DATA X1 = getValueFromSubshell(shell) index = getDataLineIndex(lines, z, 0, 92, 91, X1, 7, 931) if index < 0: #this error may happen when requesting non existing data too raise IOError("Requested data not found") shell_codes, values = getActualDataFromLinesAndOffset(lines, index) if DEBUG: print("shell_codes, values ",shell_codes, values) i = 0 ddict = getBaseShellDict(nvalues=2) for code in shell_codes: key = getSubshellFromValue(code) ddict[key] = values[i] i += 1 return ddict def getNonradiativeTransitionProbabilities(z, shell='K', lines=None): """ getNonradiativeTransitionProbabilities(z, shell='K') Returns the radiative transition probabilities and energies to the given shell. The output is a dictionary in IUPAC notation. """ #Yi C S X1 Yo I #0 92 91 1. 9 932 K Shell #0 92 91 2. 9 932 L1 Shell #0 92 91 5. 9 932 L2 Shell #0 92 91 6. 9 932 L3 Shell #0 92 91 8. 9 932 M1 Shell #0 92 91 10. 9 932 M2 Shell #0 92 91 11. 9 932 M3 Shell #0 92 91 13. 9 932 M4 Shell #0 92 91 14. 9 932 M5 Shell ddict = getBaseShellDict() #if z < 6: # return ddict if lines is None: lines = EADL97_DATA X1 = getValueFromSubshell(shell) index = getDataLineIndex(lines, z, 0, 92, 91, X1, 9, 932) if index < 0: #this error may happen when requesting non existing data too raise IOError("Requested data not found") shell_codes, values = getActualDataFromLinesAndOffset(lines, index) if DEBUG: print("shell_codes, values ",shell_codes, values) i = 0 ddict = {}#getBaseShellDict() for code in shell_codes: key1 = getSubshellFromValue(code).split()[0] key2 = getSubshellFromValue(values[i][0]).split()[0] ddict[shell+'-'+key1+key2] = values[i][1:] i += 1 return ddict #The usefull stuff def getBindingEnergies(z, lines=None): """ getBindingEnergies(z) Returns the binding energies in MeV """ #Yi C S X1 Yo I #0 91 0 0. 0 913 if lines is None: lines = EADL97_DATA index = getDataLineIndex(lines, z, 0, 91, 0, 0., 0, 913) if index < 0: raise IOError("Requested data not found") shell_codes, value = getActualDataFromLinesAndOffset(lines, index) if DEBUG: print("shell_codes, value ",shell_codes, value) i = 0 ddict = getBaseShellDict() for code in shell_codes: shell = getSubshellFromValue(code) ddict[shell] = value[i] i += 1 return ddict def getFluorescenceYields(z, lines=None): if lines is None: lines = EADL97_DATA radiative_dict = getRadiativeWidths(z, lines) nonradiative_dict = getNonradiativeWidths(z, lines) ddict={} for key in radiative_dict.keys(): x = radiative_dict[key] a = nonradiative_dict[key] if ( x > 0.0) or ( a > 0.0): ddict[key] = x / (a + x) return ddict def getCosterKronigYields(z, shell='L1', lines=None): """ getCosterKronigYields(z, shell='L1') Returns the non-zero Coster-Kronig yields as keys of a dictionnary or just an empty dictionnary. """ if lines is None: lines = EADL97_DATA #radiative_dict = getRadiativeWidths(z, lines) #nonradiative_dict = getNonradiativeWidths(z, lines) probabilities = getNonradiativeTransitionProbabilities(z, shell=shell, lines=lines) ddict = {} for key in probabilities: items = key.split('-') if items[0] != shell: raise ValueError("Inconsistent data!") if items[0][0] == items[1][0]: #coster kronig transition = 'f'+ items[0][1] + items[1][1] if transition not in ddict.keys(): ddict[transition] = 0.0 ddict[transition] += probabilities[key][0] return ddict def getLShellCosterKronigYields(z, lines=None): """ getLShellCosterKronigYields(z) Returns the L-shell Coster-Kronig yields of an element as keys of a dictionnary """ ddict = {} ddict['f12'] = 0.0 ddict['f13'] = 0.0 ddict['f23'] = 0.0 for i in range(2): shell = 'L%d' % (i+1) try: ddict.update(getCosterKronigYields(z, shell=shell)) except IOError: pass return ddict def getMShellCosterKronigYields(z, lines=None): """ getMShellCosterKronigYields(z) Returns the M-shell Coster-Kronig yields of an element as keys of a dictionnary. It does not check for physical meaning. So, it will give zeroes when needed. """ ddict = {} for i in range(1, 5): for j in range(i+1, 6): key = 'f%d%d' % (i,j) ddict[key] = 0.0 shell = 'M%d' % i try: ddict.update(getCosterKronigYields(z, shell=shell)) except IOError: pass return ddict def getAtomicWeights(): global EADL97_ATOMIC_WEIGHTS if EADL97_ATOMIC_WEIGHTS is None: lines = EADL97_DATA i = 1 EADL97_ATOMIC_WEIGHTS = numpy.zeros((len(Elements),), numpy.float) for line in lines: if line.startswith('%3d000 ' % i): ddict0 = parseHeader0(line) EADL97_ATOMIC_WEIGHTS[i-1] = ddict0['atomic_mass'] i += 1 return EADL97_ATOMIC_WEIGHTS * 1 if __name__ == "__main__": if len(sys.argv) > 1: element = sys.argv[1] else: element = 'Pb' print("Getting binding energies for element %s" % element) ddict = getBindingEnergies(Elements.index(element)+1) for key in getBaseShellList(): if ddict[key] > 0.0: print("Shell = %s Energy (keV) = %.7E" % (key, ddict[key] * 1000.)) print("Getting fluorescence yields for element %s" % element) ddict = getFluorescenceYields(Elements.index(element)+1) for key in getBaseShellList(): if key in ddict: if ddict[key] > 0.0: print("Shell = %s Yield = %.7E" % (key, ddict[key])) #total_emission = 0.0 for shell in ['K', 'L1', 'L2', 'L3', 'M1', 'M2', 'M3', 'M4', 'M5']: try: ddict = getRadiativeTransitionProbabilities(Elements.index(element)+1, shell=shell) print("%s Shell radiative emission probabilities " % shell) except IOError: continue total = 0.0 for key in getBaseShellList(): if key in ddict: if ddict[key][0] > 0.0: print("Shell = %s Yield = %.7E Energy = %.7E" % (key, ddict[key][0], ddict[key][1] * 1000.)) total += ddict[key][0] print("Total %s-shell emission probability = %.7E" % (shell, total)) #total_emission += total #print "total_emission = ", total_emission for shell in ['K', 'L1', 'L2', 'L3', 'M1', 'M2', 'M3', 'M4', 'M5']: try: ddict = getNonradiativeTransitionProbabilities(Elements.index(element)+1, shell=shell) print("%s Shell Nonradiative emission probabilities " % shell) except IOError: continue total = 0.0 shell_list = getBaseShellList() for key0 in shell_list: for key1 in shell_list: key = "%s-%s%s" % (shell, key0.split()[0], key1.split()[0]) if key in ddict: if ddict[key][0] > 0.0: print("Shell = %s Yield = %.7E Energy = %.7E" %\ (key, ddict[key][0], ddict[key][1] * 1000.)) total += ddict[key][0] print("Total %s-shell non-radiative emission probability = %.7E" % (shell, total)) if shell in ['K']: for key0 in ['L1', 'L2' ,'L3']: subtotal = 0.0 for key1 in shell_list: tmpKey = key1.split()[0] key = "%s-%s%s" % (shell, key0, tmpKey) if key in ddict: if ddict[key][0] > 0.0: subtotal += ddict[key][0] if tmpKey == key0: subtotal += ddict[key][0] print("%s vacancies for nonradiative transition to %s shell = %.7E"%\ (key0, shell, subtotal)) #print(getNonradiativeTransitionProbabilities(Elements.index(element)+1, 'L1')) print(getMShellCosterKronigYields(Elements.index(element)+1)) print("atomic weight = ", getAtomicWeights()[Elements.index(element)]) sys.exit(0) PyMca5-5.2.2/PyMca5/EPDL97/LICENSE0000644000276300001750000000313713136054446015744 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __doc__=""" These Python modules have been developed by V.A. Sole, from the European Synchrotron Radiation Facility (ESRF) to make the EADL and EPDL97 libraries easily accessible from Python. """ PyMca5-5.2.2/PyMca5/EPDL97/GenerateEADLBindingEnergies.py0000644000276300001750000001007613136054446022446 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__= "Generate specfile with EADL97 binding energies in keV" import os import sys import EADLParser Elements = ['H', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr', 'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe', 'Cs', 'Ba', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn', 'Fr', 'Ra', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt'] def getHeader(filename): text = '#F %s\n' % filename text += '#U00 This file is a conversion to specfile format of \n' text += '#U01 directly extracted EADL97 Binding energies.\n' text += '#U02 EADL itself can be found at:\n' text += '#U03 http://www-nds.iaea.org/epdl97/libsall.htm\n' text += '#U04 The code used to generate this file has been:\n' text += '#U05 %s\n' % os.path.basename(__file__) text += '#U06\n' text += '\n' return text if __name__ == "__main__": if len(sys.argv) > 1: fname = sys.argv[1] else: fname = "EADL97_BindingEnergies.dat" if os.path.exists(fname): os.remove(fname) outfile = open(fname, 'wb') outfile.write(getHeader(fname)) shells = EADLParser.getBaseShellList() LONG_LABEL = True for i in range(1,101): print(i, Elements[i-1]) if i == 1: text = '#S 1 Binding energies in keV\n' label_text = "" n = 0 for label in shells: if LONG_LABEL: label_text += " "+label.replace(' ','') else: label_text += ' %s' % label.replace(' ','').split("(")[0] n += 1 text += '#N %d\n' % n text += '#L Z' + label_text text += '\n' outfile.write(text) text = "%d" % i ddict = EADLParser.getBindingEnergies(i) for shell in shells: text += ' %.7E' % (ddict[shell] * 1000.) text += '\n' outfile.write(text) outfile.write("\n") outfile.close() PyMca5-5.2.2/PyMca5/EPDL97/GenerateEADLShellConstants.py0000644000276300001750000001771013136054446022360 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__= "Generate specfiles with EADL97 shell constans" import os import EADLParser Elements = ['H', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr', 'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe', 'Cs', 'Ba', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn', 'Fr', 'Ra', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt'] def getHeader(filename): text = '#F %s\n' % filename text += '#U00 This file is a conversion to specfile format of \n' text += '#U01 directly extracted EADL97 Shell constants.\n' text += '#U02 EADL itself can be found at:\n' text += '#U03 http://www-nds.iaea.org/epdl97/libsall.htm\n' text += '#U04 The code used to generate this file has been:\n' text += '#U05 %s\n' % os.path.basename(__file__) text += '#U06\n' text += '\n' return text if __name__ == "__main__": #K Shell fname = "EADL97_KShellConstants.dat" if os.path.exists(fname): os.remove(fname) outfile = open(fname, 'wb') outfile.write(getHeader(fname)) for i in range(1,101): #for i in range(82,83): print("%d %s" % (i, Elements[i-1])) if i == 1: text = '#S 1 K Shell Fluorescence Yields\n' label_text = "" n = 1 label_text += ' omegaK' n += 1 text += '#N %d\n' % n text += '#L Z' + label_text text += '\n' outfile.write(text) text = "%d" % i ddict = EADLParser.getFluorescenceYields(i) value = ddict.get('K (1s1/2)', 0.0) text += ' %.4E' % (value) text += '\n' outfile.write(text) outfile.write("\n") outfile.close() #L Shell fname = "EADL97_LShellConstants.dat" if os.path.exists(fname): os.remove(fname) outfile = open(fname, 'wb') outfile.write(getHeader(fname)) shell_list = ['L1 (2s1/2)', 'L2 (2p1/2)', 'L3 (2p3/2)'] for nshell in range(1,4): shell = shell_list[nshell-1] for i in range(1,101): #for i in range(82,83): print("%d %s" % (i, Elements[i-1])) if i == 1: text = '#S %s %s x-ray data\n' % (shell[1], shell[0:2]) label_text = "" n = 1 if nshell == 1: label_text += ' f12 f13 omegaL1' n += 3 elif nshell == 2: label_text += ' f23 omegaL2' n += 2 else: label_text += ' omegaL3' n += 1 text += '#N %d\n' % n text += '#L Z' + label_text text += '\n' outfile.write(text) text = "%d" % i ddict = EADLParser.getFluorescenceYields(i) ddict.update(EADLParser.getLShellCosterKronigYields(i)) omega = ddict.get(shell, 0.0) if nshell == 1: f12 = ddict.get('f12', 0.0) f13 = ddict.get('f13', 0.0) text += ' %.4E %.4E %.4E\n' % (f12, f13, omega) elif nshell == 2: f23 = ddict.get('f23', 0.0) text += ' %.4E %.4E\n' % (f23, omega) elif nshell == 3: text += ' %.4E\n' % (omega) outfile.write(text) outfile.write("\n") outfile.close() #M Shell fname = "EADL97_MShellConstants.dat" if os.path.exists(fname): os.remove(fname) outfile = open(fname, 'wb') outfile.write(getHeader(fname)) shell_list = ['M1 (3s1/2)', 'M2 (3p1/2)', 'M3 (3p3/2)', 'M4 (3d3/2)', 'M5 (3d5/2)'] for nshell in range(1,6): shell = shell_list[nshell-1] for i in range(1,101): #for i in range(82,83): print("%d %s" % (i, Elements[i-1])) if i == 1: text = '#S %s %s x-ray data\n' % (shell[1], shell[0:2]) label_text = "" n = 1 if nshell == 1: label_text += ' f12 f13 f14 f15 omegaM1' n += 5 elif nshell == 2: label_text += ' f23 f24 f25 omegaM2' n += 4 elif nshell == 3: label_text += ' f34 f35 omegaM3' n += 3 elif nshell == 4: label_text += ' f45 omegaM4' n += 2 else: label_text += ' omegaM5' n += 1 text += '#N %d\n' % n text += '#L Z' + label_text text += '\n' outfile.write(text) text = "%d" % i ddict = EADLParser.getFluorescenceYields(i) ddict.update(EADLParser.getMShellCosterKronigYields(i)) omega = ddict.get(shell, 0.0) if nshell == 1: f12 = ddict.get('f12', 0.0) f13 = ddict.get('f13', 0.0) f14 = ddict.get('f14', 0.0) f15 = ddict.get('f15', 0.0) text += ' %.4E %.4E %.4E %.4E %.4E\n' % (f12, f13, f14, f15, omega) elif nshell == 2: f23 = ddict.get('f23', 0.0) f24 = ddict.get('f24', 0.0) f25 = ddict.get('f25', 0.0) text += ' %.4E %.4E %.4E %.4E\n' % (f23, f24, f25, omega) elif nshell == 3: f34 = ddict.get('f34', 0.0) f35 = ddict.get('f35', 0.0) text += ' %.4E %.4E %.4E\n' % (f34, f35, omega) elif nshell == 4: f45 = ddict.get('f45', 0.0) text += ' %.4E %.4E\n' % (f45, omega) else: text += ' %.4E\n' % (omega) outfile.write(text) outfile.write("\n") outfile.close() PyMca5-5.2.2/PyMca5/EPDL97/EPDL97Parser.py0000644000276300001750000007037413136054446017401 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os __doc__ =\ """ The 1997 release of the Evaluated Photon Data Library (EPDL97) This module parses the EPDL97.DAT that can be downloaded from: http://www-nds.iaea.org/epdl97/libsall.htm EPDL contains complete information for particle transport for atomic number Z = 1-100. The incident photon energy range goes down to 1 eV. The original units are in barns and MeV. The specific data are: - Coherent scattering a) integrated cross section b) form factor c) real and imaginary anomalous scattering factors d) average energy of the scattered photon (MeV) - Incoherent scattering a) integrated cross section b) scattering function c) average energy of the scattered photon and recoil electron (MeV) - Total photoelectric reaction a) integrated cross section b) average energy of the residual atom, i.e. local deposition (MeV) c) average energy of the secondary photons and electrons (MeV) - Photoelectric reaction, by subshell a) integrated cross section b) average energy of the residual atom, i.e. local deposition (MeV) c) average energy of the secondary photons and electrons (MeV) - Pair production cross section a) integrated cross section b) average energy of the secondary electron and positron (MeV) - Triplet production reaction a) integrated cross section b) average energy of the secondary electron and positron (MeV) Photoelectric data are only for photo-ionization. Photo-excitation data is distributed in the separated library EXDL (the Evaluation eXcitation Data Library). Edges are consistant between EADL, EEDL and EPDL. The data are organized in blocks with headers. The first line of the header: Columns Format Definition 1-3 I3 Z - atomic number 4-6 I3 A - mass number (in all cases=0 for elemental data) 8-9 I2 Yi - incident particle designator (7 is photon) 11-12 I2 Yo - outgoing particle designator (0, no particle 7, photon 8, positron 9, electron) 14-24 E11.4 AW - atomic mass (amu) 26-31 I6 Date of evaluation (YYMMDD) 32 I1 Iflag - Interpolation flag: = 0 or 2, linear in x and y = 3, logarithmic in x, linear in y = 4, linear in x, logarithmic in y = 5, logarithmic in x and y The second line of the header: Columns Format Definition 1-2 I2 C - reaction descriptor = 71, coherent scattering = 72, incoherent scattering = 73, photoelectric effect = 74, pair production = 75, triplet production = 93, whole atom parameters 3-5 I2 I - reaction property: = 0, integrated cross section = 10, avg. energy of Yo = 11, avg. energy to the residual atom = 941, form factor = 942, scattering function = 943, imaginary anomalous scatt. factor = 944, real anomalous scatt. factor 6-8 I3 S - reaction modifier: = 0 no X1 field data required = 91 X1 field data required 22-32 #11.4 X1 - subshell designator 0 if S is 0 if S is 91, subshell designator Summary of the EPDL Data Base -------------------------------------------------------------------------- Yi C S X1 Yo I Data Types -------------------------------------------------------------------------- Coherent scattering -------------------------------------------------------------------------- 7 71 0 0. 0 0 integrated coherent cross section 7 93 0 0. 0 941 form factor 7 93 0 0. 0 943 imaginary anomalous scatt. factor 7 93 0 0. 0 943 real anomalous scatt. factor 7 71 0 0. 7 10 avg. energy of the scattered photon -------------------------------------------------------------------------- Incoherent scattering -------------------------------------------------------------------------- 7 72 0 0. 0 0 integrated incoherent cross section 7 72 0 0. 0 942 scattering function 7 72 0 0. 7 10 avg. energy of the scattered photon 7 72 0 0. 9 10 avg. energy of the recoil electron -------------------------------------------------------------------------- Photoelectric -------------------------------------------------------------------------- 7 73 0 0. 0 0 integrated photoelectric cross section 7 73 0 0. 0 11 avg. energy to the residual atom 7 73 0 0. 7 10 avg. energy of the secondary photons 7 73 0 0. 9 10 avg. energy of the secondary electrons -------------------------------------------------------------------------- Photoelectric (by subshell) -------------------------------------------------------------------------- 7 73 91 * 0 0 integrated photoelectric cross section 7 73 91 * 0 11 avg. energy to the residual atom 7 73 91 * 7 10 avg. energy of the secondary photons 7 73 91 * 9 10 avg. energy of the secondary electrons -------------------------------------------------------------------------- Pair production -------------------------------------------------------------------------- 7 74 0 0. 0 0 integrated pair production cross section 7 74 0 0. 8 10 avg. energy of the secondary positron 7 74 0 0. 9 10 avg. energy of the secondary electron -------------------------------------------------------------------------- Triplet production -------------------------------------------------------------------------- 7 75 0 0. 0 0 integrated triplet production cross section 7 75 0 0. 8 10 avg. energy of the secondary positron 7 75 0 0. 9 10 avg. energy of the secondary electron --------------------------------------------------------------------------- Yi C S X1 Yo I Data Types -------------------------------------------------------------------------- * -> Subshell designator Data sorted in ascending order Z -> C -> S -> X1 -> Yo -> I """ import numpy Elements = ['H', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr', 'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe', 'Cs', 'Ba', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn', 'Fr', 'Ra', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt'] #Translation from EADL index to actual shell (Table VI) import EADLSubshells SHELL_LIST = EADLSubshells getSubshellFromValue = EADLSubshells.getSubshellFromValue getValueFromSubshell = EADLSubshells.getValueFromSubshell DEBUG = 0 AVOGADRO_NUMBER = 6.02214179E23 #Read the EPDL library # Try to find it in the local directory EPDL = os.path.join(os.path.dirname(__file__), 'EPDL97.DAT') if not os.path.exists(EPDL): from PyMca5 import PyMcaDataDir EPDL = os.path.join(PyMcaDataDir.PYMCA_DATA_DIR, 'EPDL97', 'EPDL97.DAT') infile = open(EPDL, 'rb') EPDL97_DATA = infile.read() infile.close() #speed up sequential access LAST_INDEX = -1 #properly write exponential notation EPDL97_DATA = EPDL97_DATA.replace('-', 'E-') EPDL97_DATA = EPDL97_DATA.replace('+', 'E+') #get rid of tabs if any EPDL97_DATA = EPDL97_DATA.replace('\t', ' ') #get rid of carriage returns if any EPDL97_DATA = EPDL97_DATA.replace('\r\n', '\n') EPDL97_DATA = EPDL97_DATA.split('\n') #Now I have a huge list with all the lines EPDL97_ATOMIC_WEIGHTS = None def getParticle(value): """ Returns one of ['none', 'photon', 'positron', 'electron'] following the convention: 0 = no particle 7 = photon 8 = positron 9 = electron) """ if value == 7: return 'photon' if value == 0: return 'none' if value == 9: return 'electron' if value == 8: return 'positron' raise ValueError('Invalid particle code') def getInterpolationType(value): """ Returns one of ['lin-lin', 'log-lin', 'lin-log', 'log-log'] following the convention: 0 or 2, linear in x and y -> returns lin-lin 3, logarithmic in x, linear in y -> returns log-lin 4, linear in x, logarithmic in y -> returns lin-log 5, logarithmic in x and y -> returns log-log """ if value in [0, 2]: return 'lin-lin' if value == 3: return 'log-lin' if value == 4: return 'lin-log' if value == 5: return 'log-log' raise ValueError('Invalid interpolation flag') def getReactionFromCode(value): """ The input value must be one of: 71, 72, 73, 74, 75 Returns one of coherent, incoherent, photoelectric, pair, triplet according to the integer EPDL97 code of the reaction: 71 <-> coherent scattering 72 <-> incoherent scattering 73 <-> photoelectric effect 74 <-> pair production 75 <-> triplet production 93 <-> whole atom parameters """ if value == 71: return 'coherent' if value == 72: return 'incoherent' if value in [73, 93]: return 'photoelectric' if value == 74: return 'pair' if value == 75: return 'triplet' raise ValueError('Invalid reaction descriptor code') def getReactionPropertyFromCode(value): """ The input value must be one of: 0, 10, 11, 941, 942, 943, 944 according to the integer EPDL97 code of the reaction property: 0 <-> integrated cross section 10 <-> avg. energy of secondary particle Yo 11 <-> avg. energy to the residual atom 941 <-> form factor 942 <-> scattering function 943 <-> imaginary anomalous scatt. factor 944 <-> real anomalous scatt. factor """ if value == 0: return 'cross_section' if value == 10: return 'secondary_particle_energy' if value == 11: return 'atom_energy_transfer' if value == 941: return 'form_factor' if value == 942: return 'scattering_function' if value == 943: return 'imaginary_anomalous_scattering_factor' if value == 944: return 'real_anomalous_scattering_factor' raise ValueError('Invalid reaction property descriptor code') def getCodeFromReaction(text): """ The input text must be one of: coherent, incoherent, photoelectric, subshell_photoelectric, pair, triplet Returns the integer EPDL97 code of the reaction: 71 <-> coherent scattering 72 <-> incoherent scattering 73 <-> photoelectric effect 74 <-> pair production 75 <-> triplet production 93 <-> whole atom parameters """ tmp = text.lower() if 'coherent' in tmp: return 71 if 'incoherent' in tmp: return 72 if 'photo' in tmp: return 73 if 'pair' in tmp: return 74 if 'triplet' in tmp: return 75 raise ValueError('Invalid reaction') def parseHeader0(line): """ Columns Format Definition 1-3 I3 Z - atomic number 4-6 I3 A - mass number (in all cases=0 for elemental data) 8-9 I2 Yi - incident particle designator (7 is photon) 11-12 I2 Yo - outgoing particle designator (0, no particle 7, photon 8, positron 9, electron) 14-24 E11.4 AW - atomic mass (amu) 26-31 I6 Date of evaluation (YYMMDD) 32 I1 Iflag - Interpolation flag: = 0 or 2, linear in x and y = 3, logarithmic in x, linear in y = 4, linear in x, logarithmic in y = 5, logarithmic in x and y """ item0 = line[0:6] items = line[6:].split() Z = int(item0[0:3]) A = int(item0[3:6]) Yi = int(items[0]) Yo = int(items[1]) AW = float(items[2]) Date = items[3] Iflag = int(items[4]) ddict={} ddict['atomic_number'] = Z ddict['mass_number'] = A ddict['atomic_mass'] = AW ddict['incident_particle'] = getParticle(Yi) ddict['incident_particle_value'] = Yi ddict['outgoing_particle'] = getParticle(Yo) ddict['outgoing_particle_value'] = Yo ddict['date'] = Date ddict['interpolation_type'] = getInterpolationType(Iflag) ddict['interpolation_flag'] = Iflag ddict['Z'] = Z ddict['A'] = A ddict['Yi'] = Yi ddict['Yo'] = Yo ddict['AW'] = AW return ddict def parseHeader1(line): """ The second line of the header: Columns Format Definition 1-2 I2 C - reaction descriptor = 71, coherent scattering = 72, incoherent scattering = 73, photoelectric effect = 74, pair production = 75, triplet production = 93, whole atom parameters 3-5 I2 I - reaction property: = 0, integrated cross section = 10, avg. energy of Yo = 11, avg. energy to the residual atom = 941, form factor = 942, scattering function = 943, imaginary anomalous scatt. factor = 944, real anomalous scatt. factor 6-8 I3 S - reaction modifier: = 0 no X1 field data required = 91 X1 field data required 22-32 #11.4 X1 - subshell designator 0 if S is 0 if S is 91, subshell designator """ item0 = line[0:6] items = line[6:].split() C = int(item0[0:2]) I = int(item0[2:6]) S = int(items[0]) #there seems to be some dummy number in between X1 = float(items[2]) ddict={} ddict['reaction_code'] = C ddict['reaction'] = getReactionFromCode(C) ddict['reaction_property'] = getReactionPropertyFromCode(I) ddict['reaction_property_code'] = I ddict['C'] = C ddict['I'] = I ddict['S'] = S ddict['X1'] = X1 if S == 91: ddict['subshell_code'] = X1 if X1 != 0.0: ddict['subshell'] = getSubshellFromValue(X1) else: ddict['subshell'] = 'none' elif (S == 0) and (X1 == 0.0): ddict['subshell_code'] = 0 ddict['subshell'] = 'none' else: print("Inconsistent data") print("X1 = ", X1, "S = ", S) sys.exit(1) return ddict def parseHeader(line0, line1): #print("line0 = ", line0) #print("line1 = ", line1) ddict = parseHeader0(line0) ddict.update(parseHeader1(line1)) return ddict if 0: ddict = parseHeader0(EPDL97_DATA[0]) for key in ddict.keys(): print(key, ddict[key]) if 0: ddict = parseHeader1(EPDL97_DATA[1]) for key in ddict.keys(): print (key, ddict[key]) def getDataLineIndex(lines, z, Yi, C, S, X1, Yo, I, getmode=True): global LAST_INDEX if (z < 1) or (z>100): raise ValueError("Invalid atomic number") nlines = len(lines) i = LAST_INDEX while i < (nlines-1): i += 1 line = lines[i] if len(line.split()) < 4: continue try: ddict = parseHeader(lines[i], lines[i+1]) except: print("Error with lines") print(lines[i]) print(lines[i+1]) print(sys.exc_info()) raise if 0: print(ddict['Z'], z) print(ddict['Yi'], Yi) print(ddict['C'], C) print(ddict['S'], S) print(ddict['X1'], X1) print(ddict['Yo'], Yo) print(ddict['I'], I) if DEBUG: if ddict['Z'] == z: print("Z found") if ddict['Yi'] == Yi: print("Yi found") if ddict['C'] == C: print("C found") if ddict['S'] == S: print("S found with X1 = ", ddict['X1']) print("Requested X1 = ", X1) print(lines[i]) print(lines[i+1]) if ddict['X1'] == X1: if ddict['Yo'] == Yo: if ddict['I'] == I: print("FOUND!") print(lines[i]) print(lines[i+1]) LAST_INDEX = i - 1 if getmode: return i, ddict['interpolation_type'] else: return i break else: if ddict['Z'] == z: if ddict['Yi'] == Yi: if ddict['C'] == C: if ddict['S'] == S: if ddict['X1'] == X1: if ddict['Yo'] == Yo: if ddict['I'] == I: LAST_INDEX = i - 1 if getmode: return i, ddict['interpolation_type'] else: return i break i += 1 if LAST_INDEX > 0: if DEBUG: print("REPEATING") LAST_INDEX = -1 return getDataLineIndex(lines, z, Yi, C, S, X1, Yo, I, getmode=getmode) if getmode: return -1, 'lin-lin' else: return -1 def getActualDataFromLinesAndOffset(lines, index): data_begin = index + 2 data_end = index + 2 while len(lines[data_end].split()) == 2: data_end += 1 if DEBUG: print("COMPLETE DATA SET") print(lines[index:data_end]) print("END DATA SET") print(lines[data_end]) print("ADDITIONAL LINE") ndata = data_end - data_begin energy = numpy.zeros((ndata,), numpy.float) value = numpy.zeros((ndata,), numpy.float) for i in range(ndata): t = lines[data_begin+i].split() energy[i] = float(t[0]) value[i] = float(t[1]) #print "OBTAINED INDEX = ", index #print lines[index:index+10] return energy, value def getAtomicWeights(): global EPDL97_ATOMIC_WEIGHTS if EPDL97_ATOMIC_WEIGHTS is None: lines = EPDL97_DATA i = 1 EPDL97_ATOMIC_WEIGHTS = numpy.zeros((len(Elements),), numpy.float) for line in lines: if line.startswith('%3d000 ' % i): ddict0 = parseHeader0(line) EPDL97_ATOMIC_WEIGHTS[i-1] = ddict0['atomic_mass'] i += 1 return EPDL97_ATOMIC_WEIGHTS * 1 def getTotalCoherentCrossSection(z, lines=None, getmode=False): #Yi C S X1 Yo I #7 71 0 0. 0 0 if lines is None: lines = EPDL97_DATA index, mode = getDataLineIndex(lines, z, 7, 71, 0, 0., 0, 0, getmode=True) if index < 0: raise IOError("Requested data not found") energy, value = getActualDataFromLinesAndOffset(lines, index) if getmode: return energy, value, mode else: return energy, value def getTotalIncoherentCrossSection(z, lines=None, getmode=False): #Yi C S X1 Yo I #7 72 0 0. 0 0 if lines is None: lines = EPDL97_DATA index, mode = getDataLineIndex(lines, z, 7, 72, 0, 0., 0, 0, getmode=True) if index < 0: raise IOError("Requested data not found") energy, value = getActualDataFromLinesAndOffset(lines, index) if getmode: return energy, value, mode else: return energy, value def getTotalPhotoelectricCrossSection(z, lines=None, getmode=False): #Yi C S X1 Yo I #7 73 0 0. 0 0 if lines is None: lines = EPDL97_DATA index, mode = getDataLineIndex(lines, z, 7, 73, 0, 0., 0, 0, getmode=True) if index < 0: raise IOError("Requested data not found") energy, value = getActualDataFromLinesAndOffset(lines, index) if getmode: return energy, value, mode else: return energy, value def getPartialPhotoelectricCrossSection(z, shell, lines=None, getmode=False): #Yi C S X1 Yo I #7 73 91 1. 0 0 K Shell #7 73 91 2. 0 0 L Shell #7 73 91 3. 0 0 L1 Shell #7 73 91 4. 0 0 L23 Shell #7 73 91 5. 0 0 L2 Shell #7 73 91 6. 0 0 L3 Shell #7 73 91 7. 0 0 M Shell #7 73 91 8. 0 0 M1 Shell #7 73 91 9. 0 0 M23 Shell #7 73 91 10. 0 0 M2 Shell #7 73 91 11. 0 0 M3 Shell #7 73 91 12. 0 0 M45 Shell #7 73 91 13. 0 0 M4 Shell #7 73 91 14. 0 0 M5 Shell #7 73 91 15. 0 0 N Shell #7 73 91 16. 0 0 N1 Shell #7 73 91 17. 0 0 N23 Shell #7 73 91 18. 0 0 N2 Shell #7 73 91 19. 0 0 N3 Shell #7 73 91 20. 0 0 N45 Shell #7 73 91 21. 0 0 N4 Shell #7 73 91 22. 0 0 N5 Shell #7 73 91 23. 0 0 N67 Shell #7 73 91 24. 0 0 N6 Shell #7 73 91 25. 0 0 N7 Shell #cleanup shell name X1 = getValueFromSubshell(shell) if lines is None: lines = EPDL97_DATA index, mode = getDataLineIndex(lines, z, 7, 73, 91, X1, 0, 0, getmode=True) if index < 0: raise IOError("Requested data not found") energy, value = getActualDataFromLinesAndOffset(lines, index) if getmode: return energy, value, mode else: return energy, value def getTotalPairCrossSection(z, lines=None, getmode=False): #Yi C S X1 Yo I #7 74 0 0. 0 0 index, mode = getDataLineIndex(lines, z, 7, 74, 0, 0., 0, 0, getmode=True) if lines is None: lines = EPDL97_DATA if index < 0: raise IOError("Requested data not found") energy, value = getActualDataFromLinesAndOffset(lines, index) if getmode: return energy, value, mode else: return energy, value def getTotalTripletCrossSection(z, lines=None, getmode=False): #Yi C S X1 Yo I #7 75 0 0. 0 0 index, mode = getDataLineIndex(lines, z, 7, 75, 0, 0., 0, 0, getmode=True) if lines is None: lines = EPDL97_DATA if index < 0: raise IOError("Requested data not found") energy, value = getActualDataFromLinesAndOffset(lines, index) if getmode: return energy, value, mode else: return energy, value if __name__ == "__main__": if len(sys.argv) > 1: Z = int(sys.argv[1]) else: Z = 82 energy, value, mode = getTotalCoherentCrossSection(Z, EPDL97_DATA, getmode=True) print("TOTAL COHERENT ", mode) for i in range(len(energy)): if energy[i] > 0.010: if energy[i] < 0.020: print(energy[i], value[i]) energy, value, mode = getTotalIncoherentCrossSection(Z, EPDL97_DATA , getmode=True) print("TOTAL INCOHERENT ", mode) for i in range(len(energy)): if energy[i] > 0.010: if energy[i] < 0.020: print(energy[i], value[i]) energy, value, mode = getTotalPhotoelectricCrossSection(Z, EPDL97_DATA, getmode=True) print("TOTAL PHOTOELECTRIC ", mode) for i in range(len(energy)): if energy[i] > 0.010: if energy[i] < 0.020: print(energy[i], value[i]) energy, value, mode = getTotalPairCrossSection(Z, EPDL97_DATA, getmode=True) print(" TOTAL PAIR ", mode) for i in range(len(energy)): if energy[i] > 0.010: if energy[i] < 0.020: print(energy[i], value[i]) energy, value, mode = getPartialPhotoelectricCrossSection(Z, 'L1', EPDL97_DATA, getmode=True) print("L1 SHELL PARTIAL PHOTOELECTRIC IDX") for i in range(len(energy)): if energy[i] > 0.010: if energy[i] < 0.020: print(energy[i], value[i], mode) energy, value, mode = getPartialPhotoelectricCrossSection(Z, 'K', EPDL97_DATA, getmode=True) print("K SHELL PARTIAL PHOTOELECTRIC") for i in range(len(energy)): if energy[i] > 0.088: if energy[i] < 0.090: print(energy[i], value[i], mode) print("atomic weight = ", getAtomicWeights()[Z-1]) PyMca5-5.2.2/PyMca5/scripts/0000755000276300001750000000000013205526235015513 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/scripts/rgbcorrelator0000644000276300001750000000041113136054446020304 0ustar solebliss00000000000000#!python import os import sys import PyMca5.PyMcaGui.pymca.PyMcaPostBatch as target fname = os.path.join(os.path.dirname(target.__file__), 'PyMcaPostBatch.py') if sys.version < '3.0': execfile(fname) else: exec(compile(open(fname).read(), fname, 'exec')) PyMca5-5.2.2/PyMca5/scripts/pymca0000644000276300001750000000044713136054446016557 0ustar solebliss00000000000000#!python import os import sys import PyMca5.PyMcaGui.pymca as PyMca sys.path.insert(0, os.path.dirname(PyMca.__file__)) fname = os.path.join(os.path.dirname(PyMca.__file__), 'PyMcaMain.py') if sys.version < '3.0': execfile(fname) else: exec(compile(open(fname).read(), fname, 'exec')) PyMca5-5.2.2/PyMca5/scripts/elementsinfo0000644000276300001750000000041313136054446020127 0ustar solebliss00000000000000#!python import os import sys import PyMca5.PyMcaGui.physics.xrf.ElementsInfo as target fname = os.path.join(os.path.dirname(target.__file__), 'ElementsInfo.py') if sys.version < '3.0': execfile(fname) else: exec(compile(open(fname).read(), fname, 'exec')) PyMca5-5.2.2/PyMca5/scripts/pymcaroitool0000644000276300001750000000041213136054446020157 0ustar solebliss00000000000000#!python import os import sys from PyMca5.PyMcaGui.pymca import QStackWidget as target fname = os.path.join(os.path.dirname(target.__file__), 'QStackWidget.py') if sys.version < '3.0': execfile(fname) else: exec(compile(open(fname).read(), fname, 'exec')) PyMca5-5.2.2/PyMca5/scripts/pymcapostbatch0000644000276300001750000000041113136054446020456 0ustar solebliss00000000000000#!python import os import sys import PyMca5.PyMcaGui.pymca.PyMcaPostBatch as target fname = os.path.join(os.path.dirname(target.__file__), 'PyMcaPostBatch.py') if sys.version < '3.0': execfile(fname) else: exec(compile(open(fname).read(), fname, 'exec')) PyMca5-5.2.2/PyMca5/scripts/mca2edf0000644000276300001750000000037313136054446016745 0ustar solebliss00000000000000#!python import os import sys import PyMca5.PyMcaGui.pymca.Mca2Edf as target fname = os.path.join(os.path.dirname(target.__file__), 'Mca2Edf.py') if sys.version < '3.0': execfile(fname) else: exec(compile(open(fname).read(), fname, 'exec')) PyMca5-5.2.2/PyMca5/scripts/peakidentifier0000644000276300001750000000042413136054446020424 0ustar solebliss00000000000000#!python import os import sys import PyMca5 from PyMca5.PyMcaGui import PeakIdentifier fname = os.path.join(os.path.dirname(PeakIdentifier.__file__), 'PeakIdentifier.py') if sys.version < '3.0': execfile(fname) else: exec(compile(open(fname).read(), fname, 'exec')) PyMca5-5.2.2/PyMca5/scripts/edfviewer0000644000276300001750000000042313136054446017420 0ustar solebliss00000000000000#!python import os import sys import PyMca5.PyMcaGui.pymca.EdfFileSimpleViewer as target fname = os.path.join(os.path.dirname(target.__file__), 'EdfFileSimpleViewer.py') if sys.version < '3.0': execfile(fname) else: exec(compile(open(fname).read(), fname, 'exec')) PyMca5-5.2.2/PyMca5/scripts/pymcabatch0000644000276300001750000000040113136054446017547 0ustar solebliss00000000000000#!python import os import sys import PyMca5.PyMcaGui.pymca.PyMcaBatch as target fname = os.path.join(os.path.dirname(target.__file__), 'PyMcaBatch.py') if sys.version < '3.0': execfile(fname) else: exec(compile(open(fname).read(), fname, 'exec')) PyMca5-5.2.2/PyMca5/PyMcaPhysics/0000755000276300001750000000000013205526235016400 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaPhysics/SixCircle.py0000644000276300001750000004042113136054446020643 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """ Methods to convert single point or complete images to reciprocal space. It is fully vectorized and therefore very fast for converting complete images. """ import numpy cos = numpy.cos sin = numpy.sin class SixCircle(object): def __init__(self): self._energy = None self._lambda = None self._K = 1.0 self._ub = None self.setLambda(1.0) self.setUB([1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0]) def setUB(self, ublist): """ :param ublist: the ub matrix element values :type ublist: list, tuple or array to convert to a 3x3 matrix """ self._ub = numpy.array(ublist, copy=True, dtype=numpy.float) self._ub.shape = 3, 3 def getUB(self): """ :return: the ub matrix element values :rtype: list(float) """ a = self._ub * 1 a.shape = -1 return a.tolist() def setEnergy(self, energy): """ :param energy: the energy to set in KeV :type energy: float """ self._lambda = 12.39842 / energy self._energy = energy self.update() def getEnergy(self): """ :return: the energy in KeV :rtype: float """ return self._energy def setLambda(self, value): """ :param value: the wavelength to set in Angstroms :type value: float """ self._lambda = value self._energy = 12.39842 / value self.update() def getLambda(self): """ :return: the wavelength in Angstroms :rtype: float """ return self._lambda def update(self): """ compute K from the wavelength value """ self._K = (2 * numpy.pi) / self._lambda def getPhiMatrix(self, phi): """ :param phi: the phi angle in degree :type phi: float :return: the rotation matrix of the phi axis for a given angle :rtype: numpy.ndarray """ angle = numpy.radians(phi) cphi = cos(angle) sphi = sin(angle) return numpy.array([[cphi, sphi, 0.0], [-sphi, cphi, 0.0], [0.0, 0.0, 1.0]], numpy.float) def getChiMatrix(self, chi): """ :param chi: the chi angle in degree :type chi: float :return: the rotation matrix of the chi :rtype: numpy.ndarray """ angle = numpy.radians(chi) cchi = cos(angle) schi = sin(angle) return numpy.array([[cchi, 0.0, schi], [0.0, 1.0, 0.0], [-schi, 0.0, cchi]], numpy.float) def getThetaMatrix(self, th): """ :param th: the theta angle in Degree :type th: float :return: the rotation matrix of the theta axis :rtype: numpy.ndarray """ angle = numpy.radians(th) cth = cos(angle) sth = sin(angle) return numpy.array([[cth, sth, 0], [-sth, cth, 0], [0, 0, 1]], numpy.float) def getDeltaMatrix(self, delta): """ :param delta: the delta angle in Degree :type delta: float :return: the rotation matrix of the delta axis :rtype: numpy.ndarray """ angle = numpy.radians(delta) cdel = cos(angle) sdel = sin(angle) return numpy.array([[cdel, sdel, 0], [-sdel, cdel, 0], [0, 0, 1]], numpy.float) def getGammaMatrix(self, gamma): """ :param gamma: the gamma angle in Degree :type gamma: float :return: the rotation matrix of the gamma axis :rtype: numpy.ndarray """ angle = numpy.radians(gamma) cgam = cos(angle) sgam = sin(angle) return numpy.array([[1.0, 0.0, 0.0], [0.0, cgam, -sgam], [0.0, sgam, cgam]], numpy.float) def getMuMatrix(self, mu): """ :param mu: the mu angle in degree :type mu: float :return: the rotation matrix of the mu axis :rtype: numpy.ndarray """ angle = numpy.radians(mu) cmu = cos(angle) smu = sin(angle) return numpy.array([[1.0, 0.0, 0.0], [0.0, cmu, -smu], [0.0, smu, cmu]], numpy.float) def _getDeltaDotGammaMatrix(self, delta, gamma, gamma_first=False): """ :param delta: the delta angles in Degrees :type delta: numpy.ndarray (1D) :param gamma: the gamma values in Degrees :type gamma: numpy.ndarray (1D) :param gamma_first: if delta and gamma are arrays, which one variates first. :type gamma_first: boolean :return: all the rotation matrix of all the delta, gamma combinations :rtype: numpy.ndarray (3x3, len(delta) * len(gamma)) """ delr = numpy.radians(delta) gamr = numpy.radians(gamma) if gamma_first: cgam, cdel = numpy.meshgrid(numpy.cos(gamr), numpy.cos(delr)) sgam, sdel = numpy.meshgrid(numpy.sin(gamr), numpy.sin(delr)) else: #this is to give the same result as Didier and not the transpose cdel, cgam = numpy.meshgrid(numpy.cos(delr), numpy.cos(gamr)) sdel, sgam = numpy.meshgrid(numpy.sin(delr), numpy.sin(gamr)) deltaDotGamma = numpy.zeros((3, 3, len(delta), len(gamma)), numpy.float) # 1st row of dot(deltamatrix, gammaMatrix) deltaDotGamma[0, 0, :] = cdel deltaDotGamma[0, 1, :] = (sdel * cgam)[:] deltaDotGamma[0, 2, :] = -sdel * sgam # 2nd row of dot(deltaMatrix, gammaMatrix) deltaDotGamma[1, 0, :] = -sdel deltaDotGamma[1, 1, :] = cdel * cgam deltaDotGamma[1, 2, :] = -cdel * sgam # 3rd row of dot(deltaMatrix, gammaMatrix) deltaDotGamma[2, 0, :] = 0.0 deltaDotGamma[2, 1, :] = sgam deltaDotGamma[2, 2, :] = cgam deltaDotGamma.shape = 3, 3, len(delta) * len(gamma) return deltaDotGamma def getQMu(self, phi=0., chi=0., theta=0., mu=0., delta=0., gamma=0., gamma_first=False): """ :param phi: angle in Degrees :type phi: float :param chi: angle in Degrees :type chi: float :param theta: angle in Degrees :type theta: float :param mu: angle in Degrees :type mu: float :param delta: angle in Degrees :type delta: float or numpy.ndarray :param gamma: angle in Degrees :type gamma: float or numpy.ndarray :param gamma_first: if delta and gamma are arrays, which one variates first. :type gamma_first: boolean :return: Q coordinates for all the given delta, gamma values :rtype: numpy.ndarray (len(delta), len(gamma), 3) """ PHIi = self.getPhiMatrix(phi).T CHIi = self.getChiMatrix(chi).T THi = self.getThetaMatrix(theta).T MUi = self.getMuMatrix(mu).T tmpArray = numpy.dot(PHIi, numpy.dot(CHIi, numpy.dot(THi, MUi))) Q = self.getQLab(mu=mu, delta=delta, gamma=gamma, gamma_first=gamma_first) Q.shape = 3, -1 Q = numpy.transpose(numpy.dot(tmpArray, Q)) if type(delta) in [type(1.0), type(1)]: lendelta = 1 else: lendelta = len(delta) if type(gamma) in [type(1.0), type(1)]: lengamma = 1 else: lengamma = len(gamma) Q.shape = lengamma, lendelta, 3 return Q def getQSurface(self, phi=0., chi=0., theta=0., mu=0., delta=0., gamma=0., gamma_first=False): """ :param phi: angle in Degrees :type phi: float :param chi: angle in Degrees :type chi: float :param theta: angle in Degrees :type theta: float :param mu: angle in Degrees :type mu: float :param delta: angle in Degrees :type delta: float or numpy.ndarray :param gamma: angle in Degrees :type gamma: float or numpy.ndarray :param gamma_first: if delta and gamma are arrays, which one variates first. :type gamma_first: boolean :return: Q values for all the given delta, gamma values This is only true if the diffractometer has been properly aligned. """ PHIi = self.getPhiMatrix(phi).T CHIi = self.getChiMatrix(chi).T THi = self.getThetaMatrix(theta).T MUi = self.getMuMatrix(mu).T tmpArray = numpy.dot(PHIi, numpy.dot(CHIi, numpy.dot(THi, MUi))) Q = self.getQLab(mu=mu, delta=delta, gamma=gamma, gamma_first=gamma_first) Q.shape = 3, -1 return (numpy.dot(tmpArray, Q)) def getQLab(self, mu=0.0, delta=0.0, gamma=0.0, gamma_first=False): """ :param mu: angle in Degrees :type mu: float :param delta: angle in Degrees :type delta: float or numpy.ndarray :param gamma: angle in Degrees :type gamma: float or numpy.ndarray :param gamma_first: if delta and gamma are arrays, which one variates first. :type gamma_first: boolean :return: the Q coordinates in the Lab system :rtype: numpy.ndarray () Q = Kf - Ki = (2 * pi / lambda) * (MU DELTA GAMMA - I) * (0, 1, 0) This gives (transforming angles to radians): (2*pi/lambda) * ( sin(delta) cos(gamma), cos(mu) cos(delta) cos(gamma) - sin(mu) sin(gamma) - 1, sin(mu) cos(delta) cos(gamma) + cos(mu) sin(gamma)) or, in terms of DG = numpy.dot(DELTA, GAMMA): (2*pi/lambda) * ( DG[0,1], cos(mu)* DG[1,1] - sin(mu) * DG[2,1] - 1 sin(mu)* DG[1,1] + cos(mu) * DG[2,1]) """ alpha = numpy.radians(mu) cmu = cos(alpha) smu = sin(alpha) alpha = numpy.radians(delta) cdel = cos(alpha) sdel = sin(alpha) alpha = numpy.radians(gamma) cgam = cos(alpha) sgam = sin(alpha) if isinstance(delta, numpy.ndarray) or \ isinstance(gamma, numpy.ndarray): if gamma_first: cgam, cdel = numpy.meshgrid(cgam, cdel) sgam, sdel = numpy.meshgrid(sgam, sdel) else: # this is to give the same result as Didier and not the transpose cdel, cgam = numpy.meshgrid(cdel, cgam) sdel, sgam = numpy.meshgrid(sdel, sgam) Q = numpy.zeros((3, sdel.shape[0], sdel.shape[1]), numpy.float) Q[0, :, :] = sdel * cgam Q[1, :, :] = cmu * cdel * cgam - smu * sgam - 1 Q[2, :, :] = smu * cdel * cgam + cmu * sgam else: Q = numpy.zeros((3, 1), numpy.float) Q[0, 0] = sdel * cgam Q[1, 0] = cmu * cdel * cgam - smu * sgam - 1 Q[2, 0] = smu * cdel * cgam + cmu * sgam return Q * self._K def getHKL(self, phi=0., chi=0., theta=0., mu=0., delta=0., gamma=0., gamma_first=False): """ :param phi: angle in Degrees :type phi: float :param chi: angle in Degrees :type chi: float :param theta: angle in Degrees :type theta: float :param mu: angle in Degrees :type mu: float :param delta: angle in Degrees :type delta: float or numpy.ndarray :param gamma: angle in Degrees :type gamma: float or numpy.ndarray :param gamma_first: if delta and gamma are arrays, which one variates first. :type gamma_first: boolean :return: HKL values for all the given delta, gamma values """ PHIi = self.getPhiMatrix(phi).T CHIi = self.getChiMatrix(chi).T THi = self.getThetaMatrix(theta).T MUi = self.getMuMatrix(mu).T UBi = numpy.linalg.inv(self._ub) tmpArray = numpy.dot(UBi, numpy.dot(PHIi, numpy.dot(CHIi, numpy.dot(THi, MUi)))) Q = self.getQLab(mu=mu, delta=delta, gamma=gamma, gamma_first=gamma_first) Q.shape = 3, -1 return (numpy.dot(tmpArray, Q)) def getHKL(wavelength, ub, phi=0., chi=0., theta=0., mu=0., delta=0., gamma=0., gamma_first=False): """ A convenience function that takes the whole input in one go. :param wavelength: the wavelength in Angstroms :type wavelength: float :param ub: the ub matrix element values :type ub: list(float) :param phi: angle in Degrees :type phi: float :param chi: angle in Degrees :type chi: float :param theta: angle in Degrees :type theta: float :param mu: angle in Degrees :type mu: float :param delta: angle in Degrees :type delta: float or numpy.ndarray :param gamma: angle in Degrees :type gamma: float or numpy.ndarray :param gamma_first: if delta and gamma are arrays, which one variates first. :type gamma_first: boolean :return: HKL values for all the given delta, gamma values """ a = SixCircle() a.setLambda(wavelength) a.setUB(ub) return a.getHKL(delta=delta, theta=theta, chi=chi, phi=phi, mu=mu, gamma=gamma, gamma_first=gamma_first) def main(): wavelength = 0.363504 UB = [1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0] UB[0] = -4.080 UB[1] = 0.000 UB[2] = 0.000 UB[3] = 0.000 UB[4] = 4.080 UB[5] = 0.000 UB[6] = 0.000 UB[7] = 0.000 UB[8] = -4.080 d = SixCircle() d.setLambda(wavelength) d.setUB(UB) print("H = 0 K = 0 L = 1") delta, theta, chi, phi, mu, gamma = 13.5558, 6.77779, -90, 0.0, 0.0, 0.0 print(d.getHKL(delta=delta, theta=theta, chi=chi, phi=phi, mu=mu, gamma=gamma)) print("H = 0 K = 1 L = 0") delta, theta, chi, phi, mu, gamma = 13.5558, 96.77779, -90, 0.0, 0.0, 0.0 print(d.getHKL(delta=delta, theta=theta, chi=chi, phi=phi, mu=mu, gamma=gamma)) print("H = 1 K = 1 L = 1") delta, theta, chi, phi, mu, gamma = 23.5910, 47.0595, -135., 0.0, 0.0, 0.0 print(d.getHKL(delta=delta, theta=theta, chi=chi, phi=phi, mu=mu, gamma=gamma)) print("H = 2 K = -1 L = 0") delta, theta, chi, phi, mu, gamma = 30.6035, -11.2635, 180.0, 0.0, 0.0, 0.0 print(d.getHKL(delta=delta, theta=theta, chi=chi, phi=phi, mu=mu, gamma=gamma)) print("H = 2 K = -1 L = 0") print(getHKL(wavelength, UB, delta=delta, theta=theta, chi=chi, phi=phi, mu=mu, gamma=gamma)) if __name__ == "__main__": main() PyMca5-5.2.2/PyMca5/PyMcaPhysics/__init__.py0000644000276300001750000000331213136054446020513 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os __path__ += [os.path.join(os.path.dirname(__file__), "xrf")] __path__ += [os.path.join(os.path.dirname(__file__), "xas")] PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/0000755000276300001750000000000013205526235017177 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/ConcentrationsTool.py0000644000276300001750000011507713136054446023416 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import copy import numpy from . import Elements from .XRFMC import XRFMCHelper FISX = False try: from . import FisxHelper FISX = True except ImportError: print("WARNING: fisx features not available") class ConcentrationsConversion(object): def getConcentrationsAsHtml(self, concentrations=None): text = "" if concentrations is None: return text result = concentrations #the header if 'mmolar' in result: mmolarflaglist = [False, True] else: mmolarflaglist = [False] for mmolarflag in mmolarflaglist: text += "\n" text += "

" %\ 'Concentrations' if mmolarflag: text += "%s:" % 'mM Concentrations' else: text += "%s:" % 'Concentrations' text += "

" text += "
" labels = ['Element', 'Group', 'Fit Area', 'Sigma Area'] if mmolarflag: labels += 'mM concentration' else: labels += 'Mass fraction' #the table if 'layerlist' in result: if type(result['layerlist']) != type([]): result['layerlist'] = [result['layerlist']] for label in result['layerlist']: labels += [label] lemmon = ("#%x%x%x" % (255, 250, 205)).upper() white = '#FFFFFF' hcolor = ("#%x%x%x" % (230, 240, 249)).upper() text += "
" text += "" text += '' text += "" for l in range(len(labels)): if l < 2: text += '' %\ (hcolor, labels[l]) elif l == 2: text += '' %\ (hcolor, labels[l]) else: text += '' %\ (hcolor, labels[l]) text += "" line = 0 for group in result['groups']: text += ("") element, group0 = group.split() fitarea = "%.6e" % result['fitarea'][group] sigmaarea = "%.2e" % result['sigmaarea'][group] area = "%.6e" % result['area'][group] if mmolarflag: fraction = "%.4g" % result['mmolar'][group] else: fraction = "%.4g" % result['mass fraction'][group] if 'Expected Area' in labels: fields = [element, group0, fitarea, sigmaarea, area, fraction] else: fields = [element, group0, fitarea, sigmaarea, fraction] if 'layerlist' in result: for layer in result['layerlist']: if result[layer]['mass fraction'][group] < 0.0: fraction = "Unknown" else: if mmolarflag: fraction = "%.4g" % result[layer]['mmolar'][group] else: fraction = "%.4g" % result[layer]['mass fraction'][group] fields += [fraction] if line % 2: color = lemmon else: color = white i = 0 for field in fields: if (i<2): text += '' % (color, field) else: text += '' % (color, field) i += 1 text += '' line += 1 text += ("
%s%s%s
%s%s
") text += ("") text += "
" return text def getConcentrationsAsAscii(self, concentrations=None): text = "" if concentrations is None: return text result = concentrations #the table if 'mmolar' in result: mmolarflaglist = [False, True] else: mmolarflaglist = [False] for mmolarflag in mmolarflaglist: labels = ['Element', 'Group', 'Fit_Area', 'Sigma_Area'] if mmolarflag: labels += ['mM_Concentration'] else: labels += ['Mass_fraction'] if 'layerlist' in result: if type(result['layerlist']) != type([]): result['layerlist'] = [result['layerlist']] for label in result['layerlist']: labels += [label.replace(' ', '')] for l in labels: text += "%s " % l text += ("\n") for group in result['groups']: element, group0 = group.split() fitarea = "%.6e" % result['fitarea'][group] sigmaarea = "%.2e" % result['sigmaarea'][group] area = "%.6e" % result['area'][group] if mmolarflag: fraction = "%.4g" % result['mmolar'][group] else: fraction = "%.4g" % result['mass fraction'][group] if 'Expected Area' in labels: fields = [element, group0, fitarea, sigmaarea, area, fraction] else: fields = [element, group0, fitarea, sigmaarea, fraction] if 'layerlist' in result: for layer in result['layerlist']: if result[layer]['mass fraction'][group] < 0.0: fraction = "Unknown" else: if mmolarflag: fraction = "%.4g" %\ result[layer]['mmolar'][group] else: fraction = "%.4g" %\ result[layer]['mass fraction'][group] fields += [fraction] for field in fields: text += '%s ' % (field) text += '\n' return text class ConcentrationsTool(object): def __init__(self, config=None, fitresult=None): self.config = {} self.config['usematrix'] = 0 self.config['useattenuators'] = 1 self.config['usemultilayersecondary'] = 0 self.config['usexrfmc'] = 0 self.config['flux'] = 1.0E10 self.config['time'] = 1.0 self.config['area'] = 30.0 self.config['distance'] = 10.0 self.config['reference'] = "Auto" self.config['mmolarflag'] = 0 if config is not None: self.configure(config) self.fitresult = fitresult def configure(self, ddict=None): if ddict is None: ddict = {} for key in ddict: if key in self.config.keys(): self.config[key] = ddict[key] return copy.deepcopy(self.config) def processFitResult(self, config=None, fitresult=None, elementsfrommatrix=False, fluorates=None, addinfo=False): # I should check if fit was successful ... if fitresult is None: fitresult = self.fitresult else: self.fitresult = fitresult if config is None: config = self.config else: self.config = config if 'usemultilayersecondary' not in self.config: self.config['usemultilayersecondary'] = 0 if 'usexrfmc' not in self.config: self.config['usexrfmc'] = 0 secondary = self.config['usemultilayersecondary'] xrfmcSecondary = self.config['usexrfmc'] if secondary and xrfmcSecondary: txt = "Only one of built-in fisx secondary and Monte Carlo correction can be used" raise ValueError(txt) if secondary and (not FISX): raise ImportError("Module fisx does not seem to be available") # get attenuators and matrix from fit attenuators = [] beamfilters = [] funnyfilters = [] matrix = None detectoratt = None multilayer = None for attenuator in fitresult['result']['config']['attenuators'].keys(): if not fitresult['result']['config']['attenuators'][attenuator][0]: continue if attenuator.upper() == "MATRIX": matrix = fitresult['result']['config']['attenuators'][attenuator][1:4] alphain = fitresult['result']['config']['attenuators'][attenuator][4] alphaout = fitresult['result']['config']['attenuators'][attenuator][5] elif attenuator.upper()[:-1] == "BEAMFILTER": beamfilters.append(fitresult['result']['config']['attenuators']\ [attenuator][1:]) elif attenuator.upper() == "DETECTOR": detectoratt = fitresult['result']['config']['attenuators'][attenuator][1:] else: if len(fitresult['result']['config']['attenuators'][attenuator][1:]) == 4: fitresult['result']['config']['attenuators'][attenuator].append(1.0) if abs(fitresult['result']['config']['attenuators'][attenuator][4]-1.0) > 1.0e-10: #funny attenuator funnyfilters.append(fitresult['result']['config']['attenuators']\ [attenuator][1:]) else: attenuators.append(fitresult['result']['config']['attenuators']\ [attenuator][1:]) if matrix is None: raise ValueError("Invalid or undefined sample matrix") if matrix[0].upper() == "MULTILAYER": layerlist = list(fitresult['result']['config']['multilayer'].keys()) layerlist.sort() for layer in layerlist: if fitresult['result']['config']['multilayer'][layer][0]: if multilayer is None: multilayer = [] multilayer.append(fitresult['result']['config']['multilayer'][layer][1:]) if not Elements.isValidMaterial(multilayer[-1][0]): raise ValueError("Material %s is not defined" % multilayer[-1][0]) else: layerlist = ["Layer0"] multilayer = [matrix] if not Elements.isValidMaterial(matrix[0]): raise ValueError("Material %s is not defined" % matrix[0]) if xrfmcSecondary and (len(layerlist) > 1): txt = "Multilayer Monte Carlo correction not implemented yet" raise ValueError(txt) energyList = fitresult['result']['config']['fit']['energy'] if energyList is None: raise ValueError("Invalid energy") if type(energyList) != type([]): energyList = [energyList] flagList = [1] weightList = [1.0] else: flagList = fitresult['result']['config']['fit']['energyflag'] weightList = fitresult['result']['config']['fit']['energyweight'] finalEnergy = [] finalWeight = [] finalFlag = [] for idx in range(len(energyList)): if flagList[idx]: energy = energyList[idx] if energy is None: raise ValueError(\ "Energy %d isn't a valid energy" % idx) if energy <= 0.001: raise ValueError(\ "Energy %d with value %f isn't a valid energy" %\ (idx, energy)) if weightList[idx] is None: raise ValueError(\ "Weight %d isn't a valid weight" % idx) if weightList[idx] < 0.0: raise ValueError(\ "Weight %d with value %f isn't a valid weight" %\ (idx, weightList[idx])) finalEnergy.append(energy) finalWeight.append(weightList[idx]) finalFlag.append(1) totalWeight = sum(weightList) if totalWeight == 0.0: raise ValueError("Sum of energy weights is 0.0") weightList = [x / totalWeight for x in finalWeight] energyList = finalEnergy flagList = finalFlag # get elements list from fit, not from matrix groupsList = fitresult['result']['groups'] * 1 if type(groupsList) != type([]): groupsList = [groupsList] todelete = [] for i in range(len(groupsList)): ele = groupsList[i].split()[0] if len(ele) > 2: todelete.append(i) if len(todelete): todelete.reverse() for i in todelete: del groupsList[i] elements = [] newelements = [] for group in groupsList: splitted = group.split() ele = splitted[0] newelements.append([Elements.getz(splitted[0]), splitted[0], splitted[1]]) if len(elements): if elements[-1] != ele: elements.append(ele) else: elements.append(ele) newelements.sort() elements.sort() if not config['useattenuators']: attenuators = None funnyfilters = None #import time #t0=time.time() if elementsfrommatrix: newelementsList = [] for ilayer in range(len(multilayer)): pseudomatrix = multilayer[ilayer] eleDict = Elements.getMaterialMassFractions([pseudomatrix[0]], [1.0]) if eleDict == {}: raise ValueError(\ "Invalid layer material %s" % pseudomatrix[0]) keys = eleDict.keys() for ele in keys: for group in newelements: if ele == group[1]: if not group in newelementsList: newelementsList.append(group) newelementsList.sort() fluo0 = Elements.getMultilayerFluorescence(multilayer, energyList, layerList=None, weightList=weightList, flagList=weightList, fulloutput=1, beamfilters=beamfilters * 1, attenuators=attenuators * 1, elementsList=newelementsList * 1, alphain=alphain, alphaout=alphaout, cascade=True, detector=detectoratt, funnyfilters=funnyfilters * 1, forcepresent=0, secondary=False) fluototal = fluo0[0] fluolist = fluo0[1:] else: if matrix[0].upper() != "MULTILAYER": multilayer = [matrix * 1] if fluorates is None: fluo0 = Elements.getMultilayerFluorescence(multilayer, energyList, layerList=None, weightList=weightList, flagList=flagList, fulloutput=1, beamfilters=beamfilters * 1, attenuators=attenuators * 1, elementsList=newelements * 1, alphain=alphain, alphaout=alphaout, cascade=True, detector=detectoratt, funnyfilters=funnyfilters * 1, forcepresent=1, secondary=False) else: fluo0 = fluorates fluototal = fluo0[0] fluolist = fluo0[1:] #I'll need total fluo element by element at some point #print "getMatrixFluorescence elapsed = ",time.time()-t0 if config['usematrix']: present = [] referenceLayerDict = {} materialComposition = [] for ilayer in range(len(multilayer)): pseudomatrix = multilayer[ilayer] * 1 #get elemental composition from matrix materialComposition.append(Elements.getMaterialMassFractions([pseudomatrix[0]], [1.0])) keys = materialComposition[-1].keys() materialElements = [[Elements.getz(x), x] for x in keys] materialElements.sort() for z, key in materialElements: for ele in elements: if key == ele: present.append(key) if not (ele in referenceLayerDict): referenceLayerDict[ele] = [] referenceLayerDict[ele].append(ilayer) if len(present) == 0: text = "Matrix must contain at least one fitted element\n" text += "in order to estimate flux and efficiency from it." raise ValueError(text) referenceElement = config['reference'].replace(' ', "") if len(referenceElement) and (referenceElement.upper() != 'AUTO'): if Elements.isValidFormula(referenceElement): if len(referenceElement) == 2: referenceElement = referenceElement.upper()[0] +\ referenceElement.lower()[1] elif len(referenceElement) == 1: referenceElement = referenceElement.upper()[0] if not (referenceElement in elements): text = "Element %s not among fitted elements" % referenceElement raise ValueError(text) elif not (referenceElement in present): text = "Element %s not among matrix elements" % referenceElement raise ValueError(text) referenceLayers = referenceLayerDict[referenceElement] else: text = "Element %s not a valid element" % referenceElement raise ValueError(text) elif len(present) == 1: referenceElement = present[0] referenceLayers = referenceLayerDict[referenceElement] else: # how to choose? Best fitted, largest fit area or # greater concentration? or better to give a weight to # the different shells, energies , ...? referenceElement = present[0] fom = self._figureOfMerit(present[0],fluototal,fitresult) for key in present: #if materialComposition[key] > materialComposition[referenceElement]: # referenceElement = key newfom = self._figureOfMerit(key,fluototal,fitresult) if newfom > fom: fom = newfom referenceElement = key referenceLayers = referenceLayerDict[referenceElement] referenceTransitions = None for group in groupsList: item = group.split() element = item[0] if element == referenceElement: transitions = item[1] + " xrays" if referenceTransitions is None: referenceTransitions = transitions referenceGroup = group elif (referenceTransitions[0] == transitions[0]) and\ (referenceTransitions[0] == 'L'): # this prevents selecting L1 and selects L3 although # given the appropriate area, L2 can be a safer choice. referenceGroup = group referenceTransitions = transitions elif referenceTransitions is not None: break theoretical = 0.0 for ilayer in referenceLayers: if elementsfrommatrix: theoretical += fluolist[ilayer][referenceElement]['rates'][referenceTransitions] * \ fluolist[ilayer][referenceElement]['mass fraction'] else: theoretical += materialComposition[ilayer][referenceElement] * \ fluolist[ilayer][referenceElement]['rates'][referenceTransitions] if theoretical <= 0.0: raise ValueError(\ "Theoretical rate is almost 0.0 Impossible to determine flux") else: if (config['distance'] > 0.0) and (config['area'] > 0.0): #solidangle = config['area']/(4.0 * numpy.pi * pow(config['distance'],2)) radius2 = config['area']/numpy.pi solidangle = 0.5 * (1.0 - (config['distance']/numpy.sqrt(pow(config['distance'],2)+ radius2))) else: solidangle = 1.0 flux = fitresult['result'][referenceGroup]['fitarea'] / (theoretical * solidangle) else: referenceElement = None referenceTransitions = None #solidangle = config['area']/(4.0 * numpy.pi * pow(config['distance'],2)) radius2 = config['area']/numpy.pi solidangle = 0.5 * (1.0 - (config['distance']/numpy.sqrt(pow(config['distance'],2)+ radius2))) flux = config['flux'] * config['time'] #print "OBTAINED FLUX * SOLID ANGLE= ",flux * solidangle #print "flux * time = ",flux #print "actual solid angle = ",0.5 * (1.0 - (config['distance']/sqrt(pow(config['distance'],2)+ config['area']/pi))) #print "solid angle factor= ",solidangle #ele = 'Pb' #rays = "L xrays" #print "theoretical = ",fluototal[ele]['rates'][rays] #print "expected = ",flux * solidangle * fluototal[ele]['rates'][rays] #for ilayer in range(len(multilayer)): # print "ilayer = ",ilayer, "theoretical = ",fluolist[ilayer][ele]['rates'][rays] # print "ilayer = ",ilayer, "expected = ",flux * solidangle * fluolist[ilayer][ele]['rates'][rays] ddict = {} ddict['groups'] = groupsList ddict['elements'] = elements ddict['mass fraction'] = {} if 'mmolarflag' in config: if config['mmolarflag']: ddict['mmolar'] = {} else: config['mmolarflag'] = 0 ddict['area'] = {} ddict['fitarea'] = {} ddict['sigmaarea'] = {} fluo = fluototal for group in groupsList: item = group.split() element = item[0] transitions = item[1] + " xrays" if element in fluo.keys(): if transitions in fluo[element]: #this SHOULD be with concentration one theoretical = fluo[element]['rates'][transitions] * 1.0 expected = theoretical * flux * solidangle concentration = fitresult['result'][group]['fitarea']/expected else: theoretical = 0.0 concentration = 0.0 else: theoretical = 0.0 concentration = 0.0 #ddict['area'][group] = theoretical * flux * solidangle * concentration ddict['fitarea'][group] = fitresult['result'][group]['fitarea'] ddict['sigmaarea'][group] = fitresult['result'][group]['sigmaarea'] if elementsfrommatrix: if element in fluo.keys(): ddict['mass fraction'][group] = 1.0 * fluo[element]['mass fraction'] else: ddict['mass fraction'][group] = 0.0 ddict['area'][group] = theoretical * flux * solidangle *\ ddict['mass fraction'][group] else: ddict['mass fraction'][group] = concentration ddict['area'][group] = theoretical * flux * solidangle if config['mmolarflag']: #mM = (mass_fraction * density)/atomic_weight ddict['mmolar'] [group]= 1000000. *\ (multilayer[0][1] * ddict['mass fraction'][group])/Elements.Element[element]['mass'] #I have the globals/average values now I calculate layer per layer #if necessary ddict['layerlist'] = [] if matrix[0].upper() == "MULTILAYER": ilayer = 0 for layer in layerlist: if fitresult['result']['config']['multilayer'][layer][0]: ddict['layerlist'].append(layer) ddict[layer] = {} dict2 = ddict[layer] dict2['groups'] = groupsList dict2['elements'] = elements dict2['mass fraction'] = {} if config['mmolarflag']: dict2['mmolar'] = {} dict2['area'] = {} dict2['fitarea'] = {} fluo = fluolist[ilayer] for group in groupsList: item = group.split() element = item[0] transitions = item[1] + " xrays" if element in fluo.keys(): if transitions in fluo[element]: theoretical = fluo[element]['rates'][transitions] * 1 expected = theoretical * flux * solidangle if expected > 0.0: concentration = fitresult['result'][group]['fitarea']/expected else: concentration = -1 else: theoretical = 0.0 concentration = 0.0 else: theoretical = 0.0 concentration = 0.0 dict2['fitarea'][group] = 1 * fitresult['result'][group]['fitarea'] if elementsfrommatrix: if element in fluo.keys(): dict2['mass fraction'][group] = 1 * fluo[element]['mass fraction'] else: dict2['mass fraction'][group] = 0.0 #I calculate matrix in optimized form, #so I have to multiply by the mass fraction dict2['area'][group] = theoretical * flux * solidangle *\ dict2['mass fraction'][group] else: dict2['mass fraction'][group] = concentration dict2['area'][group] = theoretical * flux * solidangle if config['mmolarflag']: #mM = (mass_fraction * density)/atomic_weight dict2['mmolar'][group] = 1000000. *\ (multilayer[ilayer][1] * dict2['mass fraction'][group]) /\ Elements.Element[element]['mass'] #if group == "Pb L": # print "layer", ilayer,'area ', dict2['area'][group] # print "layer", ilayer,'mass fraction =', dict2['mass fraction'][group] ilayer += 1 if elementsfrommatrix: for group in groupsList: ddict['area'][group] = 0.0 for layer in ddict['layerlist']: if group in ddict[layer]['area'].keys(): ddict['area'][group] += ddict[layer]['area'][group] if (not elementsfrommatrix) and (xrfmcSecondary or secondary): corrections = None if xrfmcSecondary: if 'xrfmc' in fitresult: corrections = fitresult['xrfmc'].get('corrections', None) if corrections is None: if 'xrfmc' in fitresult['result']: corrections = fitresult['result']['xrfmc'].get('corrections', None) if corrections is None: # try to see if they were in the configuration if 'xrfmc' in fitresult['result']['config']: corrections = fitresult['result']['config']['xrfmc'].get('corrections', None) if corrections is None: # calculate the corrections corrections = XRFMCHelper.getXRFMCCorrectionFactors(fitresult['result']['config']) if not ('xrfmc' in fitresult): fitresult['xrfmc'] = {} fitresult['xrfmc']['corrections'] = corrections elif secondary: corrections = None if 'fisx' in fitresult: corrections = fitresult['fisx'].get('corrections', None) if corrections is not None: if fitresult['fisx']['secondary'] != secondary: # it was calculated with wrong secondary level corrections = None if corrections is None: # try to see if they were in the configuration # in principle this would be the most appropriate place to be # unless matrix/configuration has been somehow updated. if 'fisx' in fitresult['result']['config']: corrections = fitresult['result']['config']['fisx'].get('corrections', None) if corrections is not None: # check they were corrected with proper secondary level if fitresult['result']['config']['fisx'].get("secondary", -1) != \ secondary: corrections = None if corrections is None: # calculate the corrections oldValue = fitresult['result']['config']['concentrations']['usemultilayersecondary'] fitresult['result']['config']['concentrations']['usemultilayersecondary'] = secondary corrections = FisxHelper.getFisxCorrectionFactorsFromFitConfiguration( \ fitresult['result']['config'], elementsFromMatrix=False) fitresult['result']['config']['concentrations']['usemultilayersecondary'] = oldValue if not ('fisx' in fitresult['result']): fitresult['fisx'] = {} fitresult['fisx']['corrections'] = copy.deepcopy(corrections) fitresult['fisx']['secondary'] = secondary if referenceElement is not None: referenceLines = referenceTransitions.split()[0] referenceCorrection = corrections[referenceElement][referenceLines]\ ['correction_factor'][-1] else: referenceCorrection = 1.0 # now we have to apply the corrections for group in groupsList: item = group.split() element = item[0] lines = item[1] if element in corrections: if config['mmolarflag']: if ddict['mass fraction'][group] > 0.0: conversionFactor = ddict['mmolar'][group] / ddict['mass fraction'][group] else: conversionFactor = 1.0 correction = corrections[element][item[1]]['correction_factor'][-1] / \ referenceCorrection ddict['mass fraction'][group] /= correction if config['mmolarflag']: ddict['mmolar'][group] = ddict['mass fraction'][group] * conversionFactor if (matrix[0].upper() == "MULTILAYER") and (not xrfmcSecondary): iLayer = 0 for layer in layerlist: if fitresult['result']['config']['multilayer'][layer][0]: if config['mmolarflag']: if dict2['mass fraction'][group] > 0.0: conversionFactor = dict2['mmolar'][group] / dict2['mass fraction'][group] else: conversionFactor = 1.0 dict2 = ddict[layer] layerKey = "layer %d" % iLayer correction = corrections[element][item[1]][layerKey] \ ['correction_factor'][-1] / referenceCorrection dict2['mass fraction'][group] /= correction if config['mmolarflag']: dict2['mmolar'][group] = dict2['mass fraction'][group] * \ conversionFactor iLayer += 1 if addinfo: addInfo = {} addInfo['ReferenceElement'] = referenceElement addInfo['ReferenceTransitions'] = referenceTransitions addInfo['SolidAngle'] = solidangle if config['time'] > 0.0: addInfo['Time'] = config['time'] else: addInfo['Time'] = 1.0 addInfo['Flux'] = flux / addInfo['Time'] addInfo['I0'] = flux addInfo['DetectorDistance'] = config['distance'] addInfo['DetectorArea'] = config['area'] return ddict , addInfo else: return ddict def _figureOfMerit(self, element, fluo, fitresult): weight = 0.0 for transitions in fluo[element]['rates'].keys(): if fluo[element]['rates'][transitions] > 0.0: if (transitions[0] == "K") and (Elements.getz(element) > 18): factor = 2.0 elif (transitions[0] == "L") and (Elements.getz(element) > 54): factor = 1.5 else: factor = 1.0 group = element + " " + transitions.split()[0] if group in fitresult['result']['groups']: fitarea = fitresult['result'][group]['fitarea'] weightHelp = fitarea * fluo[element]['rates'][transitions] * factor * \ fluo[element]['mass fraction'] if weightHelp > weight: weight = weightHelp return weight def main(): import sys import getopt from PyMca5.PyMcaIO import ConfigDict if len(sys.argv) > 1: options = '' longoptions = ['flux=', 'time=', 'area=', 'distance=', 'attenuators=', 'usematrix='] tool = ConcentrationsTool() opts, args = getopt.getopt( sys.argv[1:], options, longoptions) config = tool.configure() for opt, arg in opts: if opt in ('--flux'): config['flux'] = float(arg) elif opt in ('--area'): config['area'] = float(arg) elif opt in ('--time'): config['time'] = float(arg) elif opt in ('--distance'): config['distance'] = float(arg) elif opt in ('--attenuators'): config['useattenuators'] = int(float(arg)) elif opt in ('--usematrix'): config['usematrix'] = int(float(arg)) tool.configure(config) filelist = args for filename in filelist: d = ConfigDict.ConfigDict() d.read(filename) for material in d['result']['config']['materials'].keys(): Elements.Material[material] =\ copy.deepcopy(d['result']['config']['materials'][material]) print(tool.processFitResult(fitresult=d, elementsfrommatrix=True)) else: print("Usage:") print("ConcentrationsTool [--flux=xxxx --area=xxxx] fitresultfile") if __name__ == "__main__": main() PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/ElementHtml.py0000644000276300001750000003205513136054446021777 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from . import Elements class ElementHtml(object): def __init__(self,element=None): self.element = None def gethtml(self,element=None): if element is None:element = self.element if element is None:return "" ele = element #text="
Summary
" text="" if ele not in Elements.Element.keys(): text+="
Unknown Element" return text symbol = Elements.getsymbol(Elements.getz(ele)) omegak = Elements.Element[ele]['omegak'] omegal = [ Elements.Element[ele]['omegal1'], Elements.Element[ele]['omegal2'], Elements.Element[ele]['omegal3'] ] omegam = [ Elements.Element[ele]['omegam1'], Elements.Element[ele]['omegam2'], Elements.Element[ele]['omegam3'], Elements.Element[ele]['omegam4'], Elements.Element[ele]['omegam5'] ] #text+="
text+="
Element Info" #text+="
" if 0: text+="
Name = %s" % Elements.Element[ele]['name'] text+="
Symbol = %s" % symbol text+="
At. Number = %d" % Elements.Element[ele]['Z'] text+="
At. Weight = %.5f" % Elements.Element[ele]['mass'] text+="
Density = %.5f" % Elements.Element[ele]['density'] else: hcolor = 'white' finalcolor = 'white' text+="" #symbol text+="" text+='" text+='" text+='" #Z text+="" text+='" text+='" text+='" #name text+="" text+='" text+='" text+='" #mass text+="" text+='" text+='" text+='" #density text+="" text+='" text+='" text+='" text+="" text+="
' % finalcolor text+="Symbol" text+="' % finalcolor text+="=" text+="' % finalcolor text+="%s " % symbol text+="
' % finalcolor text+="At. Number" text+="' % finalcolor text+="=" text+="' % finalcolor text+="%d " % Elements.Element[ele]['Z'] text+="
' % finalcolor text+="Name" text+="' % finalcolor text+="=" text+="' % finalcolor name = Elements.Element[ele]['name'][0].upper()+Elements.Element[ele]['name'][1:] text+="%s " % name text+="
' % finalcolor text+="At. Weight" text+="' % finalcolor text+="=" text+="' % finalcolor text+="%.5f " % Elements.Element[ele]['mass'] text+="
' % finalcolor text+="Density" text+="' % finalcolor text+="=" text+="' % finalcolor text+="%.5f g/cm3" % Elements.Element[ele]['density'] text+="
" # Shell propierties hcolor = 'white' finalcolor = 'white' if Elements.Element[ele]['Z'] > 2: text+="
Fluorescence Yields" text+="" text+='" text+='" text+="" text+="" text+='" text+='" for i in range(len(omegal)): if omegal[i] > 0.0: text+="" text+='" text+='" for i in range(len(omegam)): if omegam[i] > 0.0: text+="" text+='" text+='" text+="" text+="
' % hcolor text+='Shell' text+="' % hcolor text+='Yield' text+="
' % finalcolor text+="%s " % "K" text+="' % finalcolor text+="%.3e " % omegak text+="
' % finalcolor text+="L%d " % (i+1) text+="' % finalcolor text+="%.3e " % omegal[i] text+="
' % finalcolor text+="M%d " % (i+1) text+="' % finalcolor text+="%.3e " % omegam[i] text+="
" hcolor = 'white' finalcolor = 'white' f = ['f12','f13','f23'] ck = [] doit = 0 for item in f: value = Elements.Element[ele]['CosterKronig']['L'][item] if value > 0:doit=1 ck.append(value) if doit: text+="
L-Shell Coster-Kronig" text+="" for item in f: text+='" text+="" text+="" for i in range(len(f)): text+='" text+="" text+="
' % hcolor text+=item text+="
' % finalcolor text+="%.3f " % ck[i] text+="
" #M shell fs = [[ 'f12', 'f13', 'f14', 'f15'], ['f23', 'f24', 'f25'], ['f34', 'f35'], ['f45']] doit = 0 for f in fs: for item in f: value = Elements.Element[ele]['CosterKronig']['M'][item] if value > 0:doit=1 if doit: text+="
M-Shell Coster-Kronig" text+="" for f in fs: text+="" for item in f: text+='" text+="" text+="" for item in f: text+='" text+="" text+="
' % hcolor text+=item text+="
' % finalcolor text+="%.3f " % Elements.Element[ele]['CosterKronig']['M'][item] text+="
" hcolor = 'white' finalcolor = 'white' for rays in Elements.Element[ele]['rays']: if rays == "Ka xrays":continue if rays == "Kb xrays":continue #text+="
" text+="
%s Emission Energies" % rays[0:-1] #text+="
" if 0: for transition in Elements.Element[ele][rays]: text+="
%s energy = %.5f rate = %.5f" % (transition,Elements.Element[ele][transition]['energy'], Elements.Element[ele][transition]['rate']) else: text+="" text+='" text+='" text+='" text+="" for transition in Elements.Element[ele][rays]: transitiontext = transition.replace('*','') text+="" text+='" text+='" text+='" text+="" text+="
' % hcolor text+='Line' text+="' % hcolor text+='Energy (keV)' text+="' % hcolor text+='Rate' text+="
' % finalcolor text+="%s " % transitiontext text+="' % finalcolor text+="%.5f" % Elements.Element[ele][transition]['energy'] text+="' % finalcolor text+="%.5f " % Elements.Element[ele][transition]['rate'] text+="
" hcolor = 'white' finalcolor = 'white' #text+="
" text+="
%s Binding Energies" % "Electron" #text+="
" text+="" text+='" text+='" text+="" for shell in Elements.ElementShells: if Elements.Element[ele]['binding'][shell] > 0.0: text+="" text+='" text+='" text+="" text+="
' % hcolor text+='Shell' text+="' % hcolor text+='Energy (keV)' text+="
' % finalcolor text+="%s " % shell text+="' % finalcolor text+="%.5f " % Elements.Element[ele]['binding'][shell] text+="
" return text if __name__ == "__main__": import sys from PyMca5 import PyMcaQt as qt app = qt.QApplication(sys.argv) if len(sys.argv) > 1: ele = sys.argv[1] else: ele = "Fe" w= qt.QWidget() l=qt.QVBoxLayout(w) html = ElementHtml() text = qt.QTextEdit(w) text.insertHtml(html.gethtml(ele)) text.setReadOnly(1) l.addWidget(text) w.show() app.exec_() PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/McaAdvancedFitBatch.py0000644000276300001750000012544613205526205023315 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import numpy from . import ClassMcaTheory from PyMca5.PyMcaCore import SpecFileLayer from PyMca5.PyMcaCore import EdfFileLayer from PyMca5.PyMcaIO import EdfFile from PyMca5.PyMcaIO import LuciaMap from PyMca5.PyMcaIO import AifiraMap from PyMca5.PyMcaIO import EDFStack from PyMca5.PyMcaIO import LispixMap from PyMca5.PyMcaIO import NumpyStack try: import h5py from PyMca5.PyMcaIO import HDF5Stack1D HDF5SUPPORT = True except ImportError: HDF5SUPPORT = False from PyMca5.PyMcaIO import ConfigDict from . import ConcentrationsTool class McaAdvancedFitBatch(object): def __init__(self,initdict,filelist=None,outputdir=None, roifit=None,roiwidth=None, overwrite=1, filestep=1, mcastep=1, concentrations=0, fitfiles=1, fitimages=1, filebeginoffset = 0, fileendoffset=0, mcaoffset=0, chunk = None, selection=None, lock=None, nosave=None, quiet=False): #for the time being the concentrations are bound to the .fit files #that is not necessary, but it will be correctly implemented in #future releases self._lock = lock if nosave: self._nosave = True else: self._nosave = False self.fitFiles = fitfiles self._concentrations = concentrations if type(initdict) == type([]): self.mcafit = ClassMcaTheory.McaTheory(initdict[mcaoffset]) self.__configList = initdict self.__currentConfig = mcaoffset else: self.__configList = [initdict] self.__currentConfig = 0 self.mcafit = ClassMcaTheory.McaTheory(initdict) self.__concentrationsKeys = [] if self._concentrations: self._tool = ConcentrationsTool.ConcentrationsTool() self._toolConversion = ConcentrationsTool.ConcentrationsConversion() self.setFileList(filelist) self.setOutputDir(outputdir) if fitimages: self.fitImages= 1 self.__ncols = None else: self.fitImages = False self.__ncols = None self.fileStep = filestep self.mcaStep = mcastep self.useExistingFiles = not overwrite self.savedImages=[] if roifit is None:roifit = False if roiwidth is None:roiwidth = 100. self.pleaseBreak = 0 self.roiFit = roifit self.roiWidth = roiwidth self.fileBeginOffset = filebeginoffset self.fileEndOffset = fileendoffset self.mcaOffset = mcaoffset self.chunk = chunk self.selection = selection self.quiet = quiet def setFileList(self,filelist=None): self._rootname = "" if filelist is None: filelist = [] if type(filelist) not in [type([]), type((2,))]: filelist = [filelist] self._filelist=filelist if len(filelist): if type(filelist[0]) is not numpy.ndarray: self._rootname = self.getRootName(filelist) def getRootName(self,filelist=None): if filelist is None:filelist = self._filelist first = os.path.basename(filelist[ 0]) last = os.path.basename(filelist[-1]) if first == last:return os.path.splitext(first)[0] name1,ext1 = os.path.splitext(first) name2,ext2 = os.path.splitext(last ) i0=0 for i in range(len(name1)): if i >= len(name2): break elif name1[i] == name2[i]: pass else: break i0 = i for i in range(i0,len(name1)): if i >= len(name2): break elif name1[i] != name2[i]: pass else: break i1 = i if i1 > 0: delta=1 while (i1-delta): if (last[(i1-delta)] in ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']): delta = delta + 1 else: if delta > 1: delta = delta -1 break rootname = name1[0:]+"_to_"+last[(i1-delta):] else: rootname = name1[0:]+"_to_"+last[0:] return rootname def setOutputDir(self,outputdir=None): if outputdir is None:outputdir=os.getcwd() self._outputdir = outputdir def processList(self): self.counter = 0 self.__row = self.fileBeginOffset - 1 self.__stack = None for i in range(0+self.fileBeginOffset, len(self._filelist)-self.fileEndOffset, self.fileStep): if not self.roiFit: if len(self.__configList) > 1: if i != 0: self.mcafit = ClassMcaTheory.McaTheory(self.__configList[i]) self.__currentConfig = i self.mcafit.enableOptimizedLinearFit() inputfile = self._filelist[i] self.__row += 1 #should be plus fileStep? self.onNewFile(inputfile, self._filelist) self.file = self.getFileHandle(inputfile) if self.pleaseBreak: break if self.__stack is None: self.__stack = False if hasattr(self.file, "info"): if "SourceType" in self.file.info: if self.file.info["SourceType"] in\ ["EdfFileStack", "HDF5Stack1D"]: self.__stack = True if self.__stack: self.__processStack() if self._HDF5: # The complete stack has been analyzed break else: self.__processOneFile() if self.counter: if not self.roiFit: if self.fitFiles: self.listfile.write(']\n') self.listfile.close() if (self.__ncols is not None) and (not self._nosave): if self.__ncols:self.saveImage() self.onEnd() def getFileHandle(self,inputfile): try: self._HDF5 = False if type(inputfile) == numpy.ndarray: try: a = NumpyStack.NumpyStack(inputfile) return a except Exception as e: # print e raise if HDF5SUPPORT: if h5py.is_hdf5(inputfile): self._HDF5 = True try: return HDF5Stack1D.HDF5Stack1D(self._filelist, self.selection) except: raise ffile = self.__tryEdf(inputfile) if ffile is None: ffile = self.__tryLucia(inputfile) if ffile is None: if inputfile[-3:] == "DAT": ffile = self.__tryAifira(inputfile) if ffile is None: if LispixMap.isLispixMapFile(inputfile): ffile = LispixMap.LispixMap(inputfile, native=False) if (ffile is None): del ffile ffile = SpecFileLayer.SpecFileLayer() ffile.SetSource(inputfile) return ffile except: raise IOError("I do not know what to do with file %s" % inputfile) def onNewFile(self,ffile, filelist): if not self.quiet: self.__log(ffile) def onImage(self,image,imagelist): pass def onMca(self,mca,nmca, filename=None, key=None, info=None): pass def onEnd(self): pass def __log(self,text): print(text) def __tryEdf(self,inputfile): try: ffile = EdfFileLayer.EdfFileLayer(fastedf=0) ffile.SetSource(inputfile) fileinfo = ffile.GetSourceInfo() if fileinfo['KeyList'] == []: ffile=None elif len(self._filelist) == 1: #Is it a Diamond stack? if len(fileinfo['KeyList']) > 1: info, data = ffile.LoadSource(fileinfo['KeyList'][0]) shape = data.shape if len(shape) == 2: if min(shape) == 1: #It is a Diamond Stack ffile=EDFStack.EDFStack(inputfile) return ffile except: return None def __tryLucia(self, inputfile): f = open(inputfile) line = f.readline() f.close() ffile = None if line.startswith('#\tDate:'): ffile = LuciaMap.LuciaMap(inputfile) return ffile def __tryAifira(self, inputfile): if sys.platform == "win32": f = open(inputfile,"rb") else: f = open(inputfile,"r") line = f.read(3) f.close() if '#' in line: #specfile return None ffile = None try: ffile = AifiraMap.AifiraMap(inputfile) except: ffile = None return ffile def __processStack(self): stack = self.file info = stack.info data = stack.data xStack = None if hasattr(stack, "x"): if stack.x not in [None, []]: if type(stack.x) == type([]): xStack = stack.x[0] else: print("THIS SHOULD NOT BE USED") xStack = stack.x nimages = stack.info['Dim_1'] self.__nrows = nimages numberofmca = stack.info['Dim_2'] keylist = ["1.1"] * nimages for i in range(nimages): keylist[i] = "1.%04d" % i for i in range(nimages): if self.pleaseBreak: break self.onImage(keylist[i], keylist) self.__ncols = numberofmca colsToIter = range(0+self.mcaOffset, numberofmca, self.mcaStep) self.__row = i self.__col = -1 try: cache_data = data[i, :, :] except: print("Error reading dataset row %d" % i) print(sys.exc_info()) print("Batch resumed") continue for mca in colsToIter: if self.pleaseBreak: break self.__col = mca mcadata = cache_data[mca, :] y0 = numpy.array(mcadata) if xStack is None: if 'MCA start ch' in info: xmin = float(info['MCA start ch']) else: xmin = 0.0 x = numpy.arange(len(y0))*1.0 + xmin else: x = xStack #key = "%s.%s.%02d.%02d" % (scan,order,row,col) key = "%s.%04d" % (keylist[i], mca) #I only process the first file of the stack? filename = os.path.basename(info['SourceName'][0]) infoDict = {} infoDict['SourceName'] = info['SourceName'] infoDict['Key'] = key self.__processOneMca(x,y0,filename,key,info=infoDict) self.onMca(mca, numberofmca, filename=filename, key=key, info=infoDict) def __processOneFile(self): ffile=self.file fileinfo = ffile.GetSourceInfo() if 1: i = 0 for scankey in fileinfo['KeyList']: if self.pleaseBreak: break self.onImage(scankey, fileinfo['KeyList']) scan,order = scankey.split(".") info,data = ffile.LoadSource(scankey) if info['SourceType'] == "EdfFile": nrows = int(info['Dim_1']) ncols = int(info['Dim_2']) numberofmca = ncols self.__ncols = len(range(0+self.mcaOffset,numberofmca,self.mcaStep)) self.__col = -1 for mca_index in range(self.__ncols): mca = 0 + self.mcaOffset + mca_index * self.mcaStep if self.pleaseBreak: break self.__col += 1 mcadata = data[mca,:] if 'MCA start ch' in info: xmin = float(info['MCA start ch']) else: xmin = 0.0 key = "%s.%s.%04d" % (scan,order,mca) y0 = numpy.array(mcadata) x = numpy.arange(len(y0))*1.0 + xmin filename = os.path.basename(info['SourceName']) infoDict = {} infoDict['SourceName'] = info['SourceName'] infoDict['Key'] = key infoDict['McaLiveTime'] = info.get('McaLiveTime', None) self.__processOneMca(x,y0,filename,key,info=infoDict) self.onMca(mca, numberofmca, filename=filename, key=key, info=infoDict) else: if info['NbMca'] > 0: self.fitImages = True numberofmca = info['NbMca'] * 1 self.__ncols = len(range(0+self.mcaOffset, numberofmca,self.mcaStep)) numberOfMcaToTakeFromScan = self.__ncols * 1 self.__col = -1 scan_key = "%s.%s" % (scan,order) scan_obj= ffile.Source.select(scan_key) #I assume always same number of detectors and #same offset for each detector otherways I would #slow down everything to deal with not very common #situations #if self.__row == 0: if self.counter == 0: self.__chann0List = numpy.zeros(info['NbMcaDet']) chan0list = scan_obj.header('@CHANN') if len(chan0list): for i in range(info['NbMcaDet']): self.__chann0List[i] = int(chan0list[i].split()[2]) # The calculation of self.__ncols is wrong if there are # several scans containing MCAs. One needs to multiply by # the number of scans assuming all of them contain MCAs. # We have to assume the same structure in all files. # Only in the case of "pseudo" two scan files where only # the second scan contains MCAs we do not multiply. if (len(fileinfo['KeyList']) == 2) and (fileinfo['KeyList'].index(scan_key) == 1): # leave self.__ncols untouched self.__ncolsModified = False else: # multiply by the number of scans self.__ncols *= len(fileinfo['KeyList']) self.__ncolsModified = True #import time for mca_index in range(numberOfMcaToTakeFromScan): i = 0 + self.mcaOffset + mca_index * self.mcaStep #e0 = time.time() if self.pleaseBreak: break if self.__ncolsModified: self.__col = i + \ fileinfo['KeyList'].index(scan_key) * \ numberofmca else: self.__col += 1 point = int(i/info['NbMcaDet']) + 1 mca = (i % info['NbMcaDet']) + 1 key = "%s.%s.%05d.%d" % (scan,order,point,mca) autotime = self.mcafit.config["concentrations"].get(\ "useautotime", False) if autotime: #slow info reading methods needed to access time mcainfo,mcadata = ffile.LoadSource(key) info['McaLiveTime'] = mcainfo.get('McaLiveTime', None) else: mcadata = scan_obj.mca(i+1) y0 = numpy.array(mcadata) x = numpy.arange(len(y0))*1.0 + \ self.__chann0List[mca-1] filename = os.path.basename(info['SourceName']) infoDict = {} infoDict['SourceName'] = info['SourceName'] infoDict['Key'] = key infoDict['McaLiveTime'] = info.get('McaLiveTime', None) self.__processOneMca(x,y0,filename,key,info=infoDict) self.onMca(i, info['NbMca'],filename=filename, key=key, info=infoDict) #print "remaining = ",(time.time()-e0) * (info['NbMca'] - i) def __getFitFile(self, filename, key): fitdir = self.os_path_join(self._outputdir,"FIT") fitdir = self.os_path_join(fitdir,filename+"_FITDIR") outfile = filename +"_"+key+".fit" outfile = self.os_path_join(fitdir, outfile) return outfile def os_path_join(self, a, b): try: outfile=os.path.join(a, b) except UnicodeDecodeError: toBeDone = True if sys.platform == 'win32': try: outfile=os.path.join(a.decode('mbcs'), b.decode('mbcs')) toBeDone = False except UnicodeDecodeError: pass if toBeDone: try: outfile = os.path.join(a.decode('utf-8'), a.decode('utf-8')) except UnicodeDecodeError: outfile = os.path.join(a.decode('latin-1'), a.decode('latin-1')) return outfile def __processOneMca(self,x,y,filename,key,info=None): self._concentrationsAsAscii = "" if not self.roiFit: result = None concentrationsdone = 0 concentrations = None outfile=self.os_path_join(self._outputdir, filename) fitfile = self.__getFitFile(filename,key) if self.chunk is not None: con_extension = "_%06d_partial_concentrations.txt" % self.chunk else: con_extension = "_concentrations.txt" self._concentrationsFile = self.os_path_join(self._outputdir, self._rootname+ con_extension) # self._rootname+"_concentrationsNEW.txt") if self.counter == 0: if os.path.exists(self._concentrationsFile): try: os.remove(self._concentrationsFile) except: print("I could not delete existing concentrations file %s" %\ self._concentrationsFile) #print "self._concentrationsFile", self._concentrationsFile if self.useExistingFiles and os.path.exists(fitfile): useExistingResult = 1 try: dict = ConfigDict.ConfigDict() dict.read(fitfile) result = dict['result'] if 'concentrations' in dict: concentrationsdone = 1 except: print("Error trying to use result file %s" % fitfile) print("Please, consider deleting it.") print(sys.exc_info()) return else: useExistingResult = 0 try: #I make sure I take the fit limits configuration self.mcafit.config['fit']['use_limit'] = 1 self.mcafit.setData(x,y, time=info.get("McaLiveTime", None)) except: print("Error entering data of file with output = %s\n%s" %\ (filename, sys.exc_info()[1])) # make sure the configuration is restored if self.mcafit.config['fit'].get("strategyflag", False): config = self.__configList[self.__currentConfig] print("Restoring fitconfiguration") self.mcafit = ClassMcaTheory.McaTheory(config) self.mcafit.enableOptimizedLinearFit() return try: self.mcafit.estimate() if self.fitFiles: fitresult, result = self.mcafit.startfit(digest=1) elif self._concentrations and (self.mcafit._fluoRates is None): fitresult, result = self.mcafit.startfit(digest=1) elif self._concentrations: fitresult = self.mcafit.startfit(digest=0) try: fitresult0 = {} fitresult0['fitresult'] = fitresult fitresult0['result'] = self.mcafit.imagingDigestResult() fitresult0['result']['config'] = self.mcafit.config conf = self.mcafit.configure() tconf = self._tool.configure() if 'concentrations' in conf: tconf.update(conf['concentrations']) else: #what to do? pass concentrations = self._tool.processFitResult(config=tconf, fitresult=fitresult0, elementsfrommatrix=False, fluorates = self.mcafit._fluoRates) except: print("error in concentrations") print(sys.exc_info()[0:-1]) concentrationsdone = True else: #just images fitresult = self.mcafit.startfit(digest=0) except: print("Error fitting file with output = %s: %s)" %\ (filename, sys.exc_info()[1])) if self.mcafit.config['fit'].get("strategyflag", False): config = self.__configList[self.__currentConfig] print("Restoring fitconfiguration") self.mcafit = ClassMcaTheory.McaTheory(config) self.mcafit.enableOptimizedLinearFit() return if self._concentrations: if concentrationsdone == 0: if not ('concentrations' in result): if useExistingResult: fitresult0={} fitresult0['result'] = result conf = result['config'] else: fitresult0={} if result is None: result = self.mcafit.digestresult() fitresult0['result'] = result fitresult0['fitresult'] = fitresult conf = self.mcafit.configure() tconf = self._tool.configure() if 'concentrations' in conf: tconf.update(conf['concentrations']) else: pass #print "Concentrations not calculated" #print "Is your fit configuration file correct?" #return try: concentrations = self._tool.processFitResult(config=tconf, fitresult=fitresult0, elementsfrommatrix=False) except: print("error in concentrations") print(sys.exc_info()[0:-1]) #return self._concentrationsAsAscii=self._toolConversion.getConcentrationsAsAscii(concentrations) if len(self._concentrationsAsAscii) > 1: text = "" text += "SOURCE: "+ filename +"\n" text += "KEY: "+key+"\n" text += self._concentrationsAsAscii + "\n" f=open(self._concentrationsFile,"a") f.write(text) f.close() #output options # .FIT files if self.fitFiles: fitdir = self.os_path_join(self._outputdir,"FIT") if not os.path.exists(fitdir): try: os.mkdir(fitdir) except: print("I could not create directory %s" % fitdir) return fitdir = self.os_path_join(fitdir,filename+"_FITDIR") if not os.path.exists(fitdir): try: os.mkdir(fitdir) except: print("I could not create directory %s" % fitdir) return if not os.path.isdir(fitdir): print("%s does not seem to be a valid directory" % fitdir) else: outfile = filename +"_"+key+".fit" outfile = self.os_path_join(fitdir, outfile) if not useExistingResult: result = self.mcafit.digestresult(outfile=outfile, info=info) if concentrations is not None: try: f=ConfigDict.ConfigDict() f.read(outfile) f['concentrations'] = concentrations try: os.remove(outfile) except: print("error deleting fit file") f.write(outfile) except: print("Error writing concentrations to fit file") print(sys.exc_info()) #python like output list if not self.counter: name = os.path.splitext(self._rootname)[0]+"_fitfilelist.py" name = self.os_path_join(self._outputdir,name) try: os.remove(name) except: pass self.listfile=open(name,"w+") self.listfile.write("fitfilelist = [") self.listfile.write('\n'+outfile) else: self.listfile.write(',\n'+outfile) else: if not useExistingResult: if 0: #this is very slow and not needed just for imaging if result is None: result = self.mcafit.digestresult() else: if result is None: result = self.mcafit.imagingDigestResult() #IMAGES if self.fitImages: #this only works with EDF if self.__ncols is not None: if not self.counter: if not self._nosave: imgdir = self.os_path_join(self._outputdir,"IMAGES") if not os.path.exists(imgdir): try: os.mkdir(imgdir) except: print("I could not create directory %s" %\ imgdir) return elif not os.path.isdir(imgdir): print("%s does not seem to be a valid directory" %\ imgdir) self.imgDir = imgdir self.__peaks = [] self.__images = {} self.__sigmas = {} if not self.__stack: self.__nrows = len(range(0, len(self._filelist), self.fileStep)) for group in result['groups']: self.__peaks.append(group) self.__images[group]= numpy.zeros((self.__nrows, self.__ncols), numpy.float) self.__sigmas[group]= numpy.zeros((self.__nrows, self.__ncols), numpy.float) self.__images['chisq'] = numpy.zeros((self.__nrows, self.__ncols), numpy.float) - 1. if self._concentrations: layerlist = concentrations['layerlist'] if 'mmolar' in concentrations: self.__conLabel = " mM" self.__conKey = "mmolar" else: self.__conLabel = " mass fraction" self.__conKey = "mass fraction" for group in concentrations['groups']: key = group+self.__conLabel self.__concentrationsKeys.append(key) self.__images[key] = numpy.zeros((self.__nrows, self.__ncols), numpy.float) if len(layerlist) > 1: for layer in layerlist: key = group+" "+layer self.__concentrationsKeys.append(key) self.__images[key] = numpy.zeros((self.__nrows, self.__ncols), numpy.float) for peak in self.__peaks: try: self.__images[peak][self.__row, self.__col] = result[peak]['fitarea'] self.__sigmas[peak][self.__row, self.__col] = result[peak]['sigmaarea'] except: pass if self._concentrations: layerlist = concentrations['layerlist'] for group in concentrations['groups']: self.__images[group+self.__conLabel][self.__row, self.__col] = \ concentrations[self.__conKey][group] if len(layerlist) > 1: for layer in layerlist: self.__images[group+" "+layer] [self.__row, self.__col] = \ concentrations[layer][self.__conKey][group] try: self.__images['chisq'][self.__row, self.__col] = result['chisq'] except: print("Error on chisq row %d col %d" %\ (self.__row, self.__col)) print("File = %s\n" % filename) pass else: dict=self.mcafit.roifit(x,y,width=self.roiWidth) #this only works with EDF if self.__ncols is not None: self.imgDir=None if not self.counter: if not self._nosave: imgdir = self.os_path_join(self._outputdir,"IMAGES") if not os.path.exists(imgdir): try: os.mkdir(imgdir) except: print("I could not create directory %s" %\ imgdir) return elif not os.path.isdir(imgdir): print("%s does not seem to be a valid directory" %\ imgdir) self.imgDir = imgdir self.__ROIpeaks = [] self._ROIimages = {} if not self.__stack: self.__nrows = len(self._filelist) for group in dict.keys(): self.__ROIpeaks.append(group) self._ROIimages[group]={} for roi in dict[group].keys(): self._ROIimages[group][roi]=numpy.zeros((self.__nrows, self.__ncols), numpy.float) if not hasattr(self, "_ROIimages"): print("ROI fitting only supported on EDF") for group in self.__ROIpeaks: for roi in self._ROIimages[group].keys(): try: self._ROIimages[group][roi][self.__row, self.__col] = dict[group][roi] except: print("error on (row,col) = %d,%d" %\ (self.__row, self.__col)) print("File = %s" % filename) pass #update counter self.counter += 1 def saveImage(self,ffile=None): self.savedImages=[] if ffile is None: ffile = os.path.splitext(self._rootname)[0] ffile = self.os_path_join(self.imgDir,ffile) if not self.roiFit: if (self.fileStep > 1) or (self.mcaStep > 1): trailing = "_filestep_%02d_mcastep_%02d" % ( self.fileStep, self.mcaStep ) else: trailing = "" #speclabel = "#L row column" speclabel = "row column" if self.chunk is None: suffix = ".edf" else: suffix = "_%06d_partial.edf" % self.chunk iterationList = self.__peaks * 1 iterationList += ['chisq'] if self._concentrations: iterationList += self.__concentrationsKeys for peak in iterationList: if peak in self.__peaks: a,b = peak.split() speclabel +=" %s" % (a+"-"+b) speclabel +=" s(%s)" % (a+"-"+b) edfname = ffile +"_"+a+"_"+b+trailing+suffix elif peak in self.__concentrationsKeys: speclabel +=" %s" % peak.replace(" ","-") edfname = ffile +"_"+peak.replace(" ","_")+trailing+suffix elif peak == 'chisq': speclabel +=" %s" % (peak) edfname = ffile +"_"+peak+trailing+suffix else: print("Unhandled peak name: %s. Not saved." % peak) continue dirname = os.path.dirname(edfname) if not os.path.exists(dirname): try: os.mkdir(dirname) except: print("I could not create directory %s" % dirname) Append = 0 if os.path.exists(edfname): try: os.remove(edfname) except: print("I cannot delete output file") print("trying to append image to the end") Append = 1 edfout = EdfFile.EdfFile(edfname, access='ab') edfout.WriteImage ({'Title':peak} , self.__images[peak], Append=Append) edfout = None self.savedImages.append(edfname) #save specfile format if self.chunk is None: specname = ffile+trailing+".dat" else: specname = ffile+trailing+"_%06d_partial.dat" % self.chunk if os.path.exists(specname): try: os.remove(specname) except: pass specfile=open(specname,'w+') #specfile.write('\n') #specfile.write('#S 1 %s\n' % (file+trailing)) #specfile.write('#N %d\n' % (len(self.__peaks)+2)) specfile.write('%s\n' % speclabel) specline="" imageRows = self.__images['chisq'].shape[0] imageColumns = self.__images['chisq'].shape[1] for row in range(imageRows): for col in range(imageColumns): specline += "%d" % row specline += " %d" % col for peak in self.__peaks: #write area specline +=" %g" % self.__images[peak][row][col] #write sigma area specline +=" %g" % self.__sigmas[peak][row][col] #write global chisq specline +=" %g" % self.__images['chisq'][row][col] if self._concentrations: for peak in self.__concentrationsKeys: specline +=" %g" % self.__images[peak][row][col] specline += "\n" specfile.write("%s" % specline) specline ="" specfile.write("\n") specfile.close() else: for group in self.__ROIpeaks: i = 0 grouptext = group.replace(" ","_") for roi in self._ROIimages[group].keys(): #roitext = roi.replace(" ","-") if (self.fileStep > 1) or (self.mcaStep > 1): edfname = ffile+"_"+grouptext+("_%04deVROI_filestep_%02d_mcastep_%02d.edf" % (self.roiWidth, self.fileStep, self.mcaStep )) else: edfname = ffile+"_"+grouptext+("_%04deVROI.edf" % self.roiWidth) dirname = os.path.dirname(edfname) if not os.path.exists(dirname): try: os.mkdir(dirname) except: print("I could not create directory %s" % dirname) edfout = EdfFile.EdfFile(edfname) edfout.WriteImage ({'Title':group+" "+roi} , self._ROIimages[group][roi], Append=i) if i==0: self.savedImages.append(edfname) i=1 if __name__ == "__main__": import getopt options = 'f' longoptions = ['cfg=','pkm=','outdir=','roifit=','roi=','roiwidth='] filelist = None outdir = None cfg = None roifit = 0 roiwidth = 250. opts, args = getopt.getopt( sys.argv[1:], options, longoptions) for opt,arg in opts: if opt in ('--pkm','--cfg'): cfg = arg elif opt in ('--outdir'): outdir = arg elif opt in ('--roi','--roifit'): roifit = int(arg) elif opt in ('--roiwidth'): roiwidth = float(arg) filelist=args if len(filelist) == 0: print("No input files, run GUI") sys.exit(0) b = McaAdvancedFitBatch(cfg,filelist,outdir,roifit,roiwidth) b.processList() PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/LShell.py0000644000276300001750000002462213136054446020745 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import numpy from PyMca5.PyMcaIO import specfile from PyMca5 import getDataFile sf=specfile.Specfile(getDataFile("LShellRates.dat")) ElementL1ShellTransitions = sf[0].alllabels() ElementL2ShellTransitions = sf[1].alllabels() ElementL3ShellTransitions = sf[2].alllabels() ElementL1ShellRates = numpy.transpose(sf[0].data()).tolist() ElementL2ShellRates = numpy.transpose(sf[1].data()).tolist() ElementL3ShellRates = numpy.transpose(sf[2].data()).tolist() sf=specfile.Specfile(getDataFile("LShellConstants.dat")) ElementL1ShellConstants = sf[0].alllabels() ElementL2ShellConstants = sf[1].alllabels() ElementL3ShellConstants = sf[2].alllabels() ElementL1ShellValues = numpy.transpose(sf[0].data()).tolist() ElementL2ShellValues = numpy.transpose(sf[1].data()).tolist() ElementL3ShellValues = numpy.transpose(sf[2].data()).tolist() sf=None fname = getDataFile("EADL97_LShellConstants.dat") sf = specfile.Specfile(fname) EADL97_ElementL1ShellConstants = sf[0].alllabels() EADL97_ElementL2ShellConstants = sf[1].alllabels() EADL97_ElementL3ShellConstants = sf[2].alllabels() EADL97_ElementL1ShellValues = numpy.transpose(sf[0].data()).tolist() EADL97_ElementL2ShellValues = numpy.transpose(sf[1].data()).tolist() EADL97_ElementL3ShellValues = numpy.transpose(sf[2].data()).tolist() EADL97 = True sf = None Elements = ['H', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr', 'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe', 'Cs', 'Ba', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn', 'Fr', 'Ra', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt'] def getsymbol(z): return Elements[z-1] def getz(ele): return Elements.index(ele)+1 #fluorescence yields def getomegal1(ele): zEle = getz(ele) index = ElementL1ShellConstants.index('omegaL1') value = ElementL1ShellValues[zEle-1][index] if (value <= 0.0) and EADL97: #extend with EADL97 values if zEle > 99: #just to avoid a crash #I do not expect any fluorescent analysis of these elements ... zEle = 99 index = EADL97_ElementL1ShellConstants.index('omegaL1') value = EADL97_ElementL1ShellValues[zEle-1][index] return value def getomegal2(ele): zEle = getz(ele) index = ElementL2ShellConstants.index('omegaL2') value = ElementL2ShellValues[zEle-1][index] if (value <= 0.0) and EADL97: #extend with EADL97 values if zEle > 99: #just to avoid a crash #I do not expect any fluorescent analysis of these elements ... zEle = 99 index = EADL97_ElementL2ShellConstants.index('omegaL2') value = EADL97_ElementL2ShellValues[zEle-1][index] return value def getomegal3(ele): zEle = getz(ele) index = ElementL3ShellConstants.index('omegaL3') value = ElementL3ShellValues[zEle-1][index] if (value <= 0.0) and EADL97: #extend with EADL97 values if zEle > 99: #just to avoid a crash #I do not expect any fluorescent analysis of these elements ... zEle = 99 index = EADL97_ElementL3ShellConstants.index('omegaL3') value = EADL97_ElementL3ShellValues[zEle-1][index] return value def getCosterKronig(ele): ck = {} transitions = [ 'f12', 'f13', 'f23'] zEle = getz(ele) if zEle > 99: #just to avoid a crash #I do not expect any fluorescent analysis of these elements ... EADL_z = 99 else: EADL_z = zEle ckEADL = {} ckSum = 0.0 for t in transitions: if t in ElementL1ShellConstants: index = ElementL1ShellConstants.index(t) ck[t] = ElementL1ShellValues[zEle-1][index] if EADL97: #extend with EADL97 values index = EADL97_ElementL1ShellConstants.index(t) ckEADL[t] = EADL97_ElementL1ShellValues[EADL_z-1][index] elif t in ElementL2ShellConstants: index = ElementL2ShellConstants.index(t) ck[t] = ElementL2ShellValues[zEle-1][index] if EADL97: #extend with EADL97 values index = EADL97_ElementL2ShellConstants.index(t) ckEADL[t] = EADL97_ElementL2ShellValues[EADL_z-1][index] elif t in ElementL3ShellConstants: index = ElementL3ShellConstants.index(t) ck[t] = ElementL3ShellValues[zEle-1][index] if EADL97: #extend with EADL97 values index = EADL97_ElementL3ShellConstants.index(t) ckEADL[t] = EADL97_ElementL3ShellValues[EADL_z-1][index] else: print("%s not in L-Shell Coster-Kronig transitions" % t) continue ckSum += ck[t] if ckSum > 0.0: #I do not force EADL97 because of compatibility #with previous versions. I may offer forcing to #EADL97 in the future. return ck elif EADL97: #extended values if defined #for instance, the region from Mg to Cl return ckEADL else: return ck #Jump ratios following Veigele: Atomic Data Tables 5 (1973) 51-111. p 54 and 55 def getjl1(z): return 1.2 def getjl2(z): return 1.4 def getjl3(z): return (80.0/z) + 1.5 def getwjump(ele,excitedshells=[1.0,1.0,1.0]): """ wjump represents the probability for a vacancy to be created on the respective L-Shell by direct photoeffect on that shell """ z = getz(ele) #weights due to photoeffect jl = [getjl1(z), getjl2(z), getjl3(z)] wjump = [] i = 0 cum = 0.00 for jump in jl: v = excitedshells[i]*(jump-1.0)/jump wjump.append(v) cum += v i+=1 for i in range(len(wjump)): wjump[i] = wjump[i] / cum return wjump def getweights(ele,excitedshells=None): if type(ele) == type(" "): pass else: ele = getsymbol(int(ele)) if excitedshells == None:excitedshells=[1.0,1.0,1.0] w = getwjump(ele,excitedshells) #weights due to Coster Kronig transitions and fluorescence yields ck= getCosterKronig(ele) w[0] *= 1.0 w[1] *= (1.0 + ck['f12'] * w[0]) w[2] *= (1.0 + ck['f13'] * w[0] + ck['f23'] * w[1]) omega = [ getomegal1(ele), getomegal2(ele), getomegal3(ele)] for i in range(len(w)): w[i] *= omega[i] cum = sum(w) for i in range(len(w)): if cum > 0.0: w[i] /= cum return w if 'TOTAL' in ElementL1ShellTransitions: labeloffset = 2 else: labeloffset = 1 ElementLShellTransitions = ElementL1ShellTransitions + \ ElementL2ShellTransitions[labeloffset:] + \ ElementL3ShellTransitions[labeloffset:] for i in range(len(ElementLShellTransitions)): ElementLShellTransitions[i]+="*" nele = len(ElementL1ShellRates) elements = range(1,nele+1) weights = [] for ele in elements: weights.append(getweights(ele)) weights = numpy.array(weights).astype(numpy.float) ElementLShellRates = numpy.zeros((len(ElementL1ShellRates), len(ElementLShellTransitions)), numpy.float) ElementLShellRates[:,0] = numpy.arange(len(ElementL1ShellRates)) + 1 n1 = len(ElementL1ShellTransitions) lo = labeloffset ElementLShellRates[:,lo:n1] = numpy.array(ElementL1ShellRates).astype(numpy.float)[:,lo:] * \ numpy.resize(weights[:,0],(nele,1)) n2 = n1 + len(ElementL2ShellTransitions) - lo ElementLShellRates[:,n1:n2] = numpy.array(ElementL2ShellRates).astype(numpy.float)[:,lo:]* \ numpy.resize(weights[:,1],(nele,1)) n1 = n2 n2 = n1 + len(ElementL3ShellTransitions) - lo ElementLShellRates[:,n1:n2] = numpy.array(ElementL3ShellRates).astype(numpy.float)[:,lo:]* \ numpy.resize(weights[:,2],(nele,1)) if __name__ == "__main__": import sys if len(sys.argv) > 1: ele = sys.argv[1] if ele in Elements: z = getz(ele) print("Atomic Number = ",z) print("L1-shell yield = ",getomegal1(ele)) print("L2-shell yield = ",getomegal2(ele)) print("L3-shell yield = ",getomegal3(ele)) print("L1-shell jump = ",getjl1(z)) print("L2-shell jump = ",getjl2(z)) print("L3-shell jump = ",getjl3(z)) print("Coster-Kronig = ",getCosterKronig(ele)) PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/SingleLayerStrategy.py0000644000276300001750000001621613136054446023523 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import copy from . import Elements from . import ConcentrationsTool DEBUG = 0 class SingleLayerStrategy(object): def __init__(self): self._tool = ConcentrationsTool.ConcentrationsTool() def applyStrategy(self, fitResult, fluorescenceRates, currentIteration=None): """ Provided a fit result, it returns an new fit configuration and a positive integer to indicate the strategy procedure has not finished. Returning an empty fit configuration, or a number of iterations equal 0 will indicate the process is over. """ if DEBUG: print("SingleLayerStrategy called with iteration ", currentIteration) newConfiguration = copy.deepcopy(fitResult['config']) strategyConfiguration = newConfiguration['SingleLayerStrategy'] if currentIteration is None: currentIteration = strategyConfiguration['iterations'] if currentIteration < 1: # enough for the journey return {}, 0 # calculate concentrations with current configuration ddict = {} ddict.update(newConfiguration['concentrations']) ddict, addInfo = self._tool.processFitResult( \ config=ddict, fitresult={"result":fitResult}, elementsfrommatrix=False, fluorates = fluorescenceRates, addinfo=True) # find the layer to be updated the matrix matrixKey = None for attenuator in list(newConfiguration['attenuators'].keys()): if not newConfiguration['attenuators'][attenuator][0]: continue if attenuator.upper() == "MATRIX": if newConfiguration['attenuators'][attenuator][1].upper() != \ "MULTILAYER": matrixKey = attenuator else: matrixKey = "MULTILAYER" if matrixKey: break if matrixKey != "MULTILAYER": parentKey = 'attenuators' daughterKey = matrixKey else: parentKey = "multilayer" daughterKey = None if newConfiguration["SingleLayerStrategy"]["layer"].upper() == \ ["AUTO"]: # we have to find the layer where we should work firstLayer = None for layer in newConfiguration[parentKey]: if newConfiguration[parentKey][layer][0]: material = newConfiguration[parentKey][layer][1] composition = Elements.getMaterialMassFractions( \ [material], [1.0]) for group in strategyConfiguration["peaks"]: if "-" in group: continue ele = group.split()[0] if ele in composition: daughterLayer = layer break if firstLayer is None: firstLayer = layer if daughterKey is None: daughterKey = firstLayer else: daughterKey = newConfiguration["SingleLayerStrategy"]["layer"] if daughterKey is None: raise ValueError("Cannot find appropriate sample layer") # newConfiguration[parentKey][daughterKey] composition is to be updated # get the new composition total = 0.0 CompoundList = [] CompoundFraction = [] materialCounter = -1 for group in strategyConfiguration["peaks"]: materialCounter += 1 if "-" in group: continue ele = group.split()[0] material = strategyConfiguration["materials"][materialCounter] if material in ["-", ele, ele + "1"]: CompoundList.append(ele) CompoundFraction.append(\ ddict["mass fraction"][group]) else: massFractions = Elements.getMaterialMassFractions( \ [material], [1.0]) CompoundFraction.append(massFractions[ele] / \ ddict["mass fraction"][group]) CompoundList.append(material) total += CompoundFraction[-1] if strategyConfiguration["completer"] not in ["-"]: if total < 1.0: CompoundList.append(strategyConfiguration["completer"]) CompoundFraction.append(1.0 - total) else: for i in range(len(CompoundFraction)): CompoundFraction[i] /= total; else: for i in range(len(CompoundFraction)): CompoundFraction[i] /= total; materialName = "SingleLayerStrategyMaterial" newConfiguration["materials"][materialName] = \ {"Density": newConfiguration['attenuators'][attenuator][2], "Thickness":newConfiguration['attenuators'][attenuator][3], "CompoundList":CompoundList, "CompoundFraction":CompoundFraction, "Comment":"Last Single Layer Strategy iteration"} # and update it newConfiguration[parentKey][daughterKey][1] = materialName if DEBUG: print("Updated sample material: ", \ newConfiguration["materials"][materialName]) return newConfiguration, currentIteration - 1 PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/BindingEnergies.py0000644000276300001750000000614613136054446022617 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import numpy from PyMca5 import getDataFile from PyMca5.PyMcaIO import specfile filename = getDataFile("BindingEnergies.dat") sf = specfile.Specfile(filename) ElementShells = sf[0].alllabels() ElementBinding = numpy.transpose(sf[0].data()).tolist() sf = None Elements = ['H', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr', 'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe', 'Cs', 'Ba', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn', 'Fr', 'Ra', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt'] def main(): import sys if len(sys.argv) > 1: ele = sys.argv[1] if ele in Elements: z = Elements.index(ele) + 1 for shell in ElementShells: i = ElementShells.index(shell) if ElementBinding[z - 1][i] > 0.0: print(shell, ElementBinding[z - 1][i]) sys.exit() print("Usage:") print("python BindingEnergies.py [element]") if __name__ == "__main__": main() PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/KShell.py0000644000276300001750000001214113136054446020735 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import numpy from PyMca5 import getDataFile from PyMca5.PyMcaIO import specfile sf=specfile.Specfile(getDataFile("KShellRates.dat")) ElementKShellTransitions = sf[0].alllabels() ElementKShellRates = numpy.transpose(sf[0].data()).tolist() ElementKAlphaTransitions = [] ElementKBetaTransitions = [] for transition in ElementKShellTransitions: if transition[0] == 'K': if transition[1] == 'L': ElementKAlphaTransitions.append(transition) else: ElementKBetaTransitions.append(transition) elif transition[0] == 'Z': ElementKAlphaTransitions.append(transition) ElementKBetaTransitions.append(transition) else: #TOTAL column meaningless pass filedata = sf[0].data() ndata = sf[0].lines() ElementKAlphaRates = filedata[0] * 1 ElementKAlphaRates.shape = [ndata, 1] ElementKBetaRates = filedata[0] * 1 ElementKBetaRates.shape = [ndata, 1] for transition in ElementKAlphaTransitions: if transition[0] != 'Z': data = filedata[ElementKShellTransitions.index(transition)] * 1 data.shape = [ndata, 1] ElementKAlphaRates = numpy.concatenate((ElementKAlphaRates, data), axis = 1) for transition in ElementKBetaTransitions: if transition[0] != 'Z': data = filedata[ElementKShellTransitions.index(transition)] * 1 data.shape = [ndata, 1] ElementKBetaRates = numpy.concatenate((ElementKBetaRates, data), axis = 1) for i in range(len(ElementKAlphaTransitions)): if ElementKAlphaTransitions[i] != 'Z': ElementKAlphaTransitions[i] = ElementKAlphaTransitions[i] + "a" for i in range(len(ElementKBetaTransitions)): if ElementKBetaTransitions[i] != 'Z': ElementKBetaTransitions[i] = ElementKBetaTransitions[i] + "b" ElementKAlphaRates = ElementKAlphaRates.tolist() ElementKBetaRates = ElementKBetaRates.tolist() sf=specfile.Specfile(getDataFile("KShellConstants.dat")) ElementKShellConstants = sf[0].alllabels() ElementKShellValues = numpy.transpose(sf[0].data()).tolist() sf=None Elements = ['H', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr', 'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe', 'Cs', 'Ba', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn', 'Fr', 'Ra', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt'] def getsymbol(z): return Elements[z-1] def getz(ele): return Elements.index(ele)+1 #fluorescence yields def getomegak(ele): index = ElementKShellConstants.index('omegaK') return ElementKShellValues[getz(ele)-1][index] #Jump ratios following Veigele: Atomic Data Tables 5 (1973) 51-111. p 54 and 55 def getjk(z): return (125.0/z) + 3.5 if __name__ == "__main__": import sys if len(sys.argv) > 1: ele = sys.argv[1] if ele in Elements: z = getz(ele) print("Atomic Number = ",z) print("K-shell yield = ",getomegak(ele)) print("K-shell jump = ",getjk(z)) PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/__init__.py0000644000276300001750000000000013136054446021301 0ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/PyMcaEPDL97.py0000644000276300001750000003424313136054446021420 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__= "Interface to the PyMca EPDL97 description" import os import sys from PyMca5.PyMcaIO import specfile from PyMca5 import getDataFile import numpy log = numpy.log exp = numpy.exp ElementList = ['H', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr', 'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe', 'Cs', 'Ba', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn', 'Fr', 'Ra', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt'] EPDL97_FILE = getDataFile("EPDL97_CrossSections.dat") EADL97_FILE = getDataFile("EADL97_BindingEnergies.dat") EPDL97_DICT = {} for element in ElementList: EPDL97_DICT[element] = {} #initialize the dictionnary, for the time being compatible with PyMca 4.3.0 EPDL97_DICT = {} for element in ElementList: EPDL97_DICT[element] = {} EPDL97_DICT[element]['binding'] = {} EPDL97_DICT[element]['EPDL97'] = {} EPDL97_DICT[element]['original'] = True #fill the dictionnary with the binding energies def _initializeBindingEnergies(): #read the specfile data sf = specfile.Specfile(EADL97_FILE) scan = sf[0] labels = scan.alllabels() data = scan.data() scan = None sf = None i = -1 for element in ElementList: if element == 'Md': break i += 1 EPDL97_DICT[element]['binding'] = {} for j in range(len(labels)): if j == 0: #this is the atomic number continue label = labels[j].replace(" ","").split("(")[0] EPDL97_DICT[element]['binding'][label] = data[j, i] _initializeBindingEnergies() def setElementBindingEnergies(element, ddict): """ Allows replacement of the element internal binding energies by a different set of energies. This is made to force this implementaticon of EPDL97 to respect other programs absorption edges. Data will be extrapolated when needed. WARNING: Coherent resonances are not replaced. """ if len(EPDL97_DICT[element]['EPDL97'].keys()) < 2: _initializeElement(element) EPDL97_DICT[element]['original'] = False EPDL97_DICT[element]['binding']={} if 'binding' in ddict: EPDL97_DICT[element]['binding'].update(ddict['binding']) else: EPDL97_DICT[element]['binding'].update(ddict) def _initializeElement(element): """ _initializeElement(element) Supposed to be of internal use. Reads the file and loads all the relevant element information contained int the EPDL97 file into the internal dictionnary. """ #read the specfile data sf = specfile.Specfile(EPDL97_FILE) scan_index = ElementList.index(element) if scan_index > 99: #just to avoid a crash #I do not expect any fluorescent analysis of these elements ... scan_index = 99 scan = sf[scan_index] labels = scan.alllabels() data = scan.data() scan = None #fill the information into the dictionnary i = -1 for label0 in labels: i += 1 label = label0.lower() #translate the label to the PyMca keys if ('coherent' in label) and ('incoherent' not in label): EPDL97_DICT[element]['EPDL97']['coherent'] = data[i, :] EPDL97_DICT[element]['EPDL97']['coherent'].shape = -1 continue if ('incoherent' in label) and ('plus' not in label): EPDL97_DICT[element]['EPDL97']['compton'] = data[i, :] EPDL97_DICT[element]['EPDL97']['compton'].shape = -1 continue if 'allother' in label: EPDL97_DICT[element]['EPDL97']['all other'] = data[i, :] EPDL97_DICT[element]['EPDL97']['all other'].shape = -1 continue label = label.replace(" ","").split("(")[0] if 'energy' in label: EPDL97_DICT[element]['EPDL97']['energy'] = data[i, :] EPDL97_DICT[element]['EPDL97']['energy'].shape = -1 continue if 'photoelectric' in label: EPDL97_DICT[element]['EPDL97']['photo'] = data[i, :] EPDL97_DICT[element]['EPDL97']['photo'].shape = -1 #a reference should not be expensive ... EPDL97_DICT[element]['EPDL97']['photoelectric'] =\ EPDL97_DICT[element]['EPDL97']['photo'] continue if 'total' in label: EPDL97_DICT[element]['EPDL97']['total'] = data[i, :] EPDL97_DICT[element]['EPDL97']['total'].shape = -1 continue if label[0].upper() in ['K', 'L', 'M']: #for the time being I do not use the other shells in PyMca EPDL97_DICT[element]['EPDL97'][label.upper()] = data[i, :] EPDL97_DICT[element]['EPDL97'][label.upper()].shape = -1 continue EPDL97_DICT[element]['EPDL97']['pair'] = 0.0 *\ EPDL97_DICT[element]['EPDL97']['energy'] EPDL97_DICT[element]['EPDL97']['photo'] = \ EPDL97_DICT[element]['EPDL97']['total'] -\ EPDL97_DICT[element]['EPDL97']['compton']-\ EPDL97_DICT[element]['EPDL97']['coherent']-\ EPDL97_DICT[element]['EPDL97']['pair'] atomic_shells = ['M5', 'M4', 'M3', 'M2', 'M1', 'L3', 'L2', 'L1', 'K'] # with the new (short) version of the cross-sections file, "all other" contains all # shells above the M5. Nevertheless, we calculate it if scan_index > 17: idx = EPDL97_DICT[element]['EPDL97']['all other'] > 0.0 delta = 0.0 for key in atomic_shells: delta += EPDL97_DICT[element]['EPDL97'][key] EPDL97_DICT[element]['EPDL97']['all other'] =\ (EPDL97_DICT[element]['EPDL97']['photo'] - delta) * idx else: EPDL97_DICT[element]['EPDL97']['all other'] = 0.0 * \ EPDL97_DICT[element]['EPDL97']['photo'] #take care of rounding problems idx = EPDL97_DICT[element]['EPDL97']['all other'] < 0.0 EPDL97_DICT[element]['EPDL97']['all other'][idx] = 0.0 def getElementCrossSections(element, energy=None, forced_shells=None): """ getElementCrossSections(element, energy, forced_shells=None) Returns total and partial cross sections of element at the specified energies. If forced_shells are not specified, it uses the internal binding energies of EPDL97 for all shells. If forced_shells is specified, it enforces excitation of the relevant shells via log-log extrapolation if needed. """ if forced_shells is None: forced_shells = [] if element not in ElementList: raise ValueError("Invalid chemical symbol %s" % element) if len(EPDL97_DICT[element]['EPDL97'].keys()) < 2: _initializeElement(element) if energy is None and EPDL97_DICT[element]['original']: return EPDL97_DICT[element]['EPDL97'] elif energy is None: energy = EPDL97_DICT[element]['EPDL97']['energy'] try: n = len(energy) except TypeError: energy = numpy.array([energy]) if type(energy) in [type(1), type(1.0)]: energy = numpy.array([energy]) elif type(energy) in [type([]), type((1,))]: energy = numpy.array(energy) binding = EPDL97_DICT[element]['binding'] wdata = EPDL97_DICT[element]['EPDL97'] ddict = {} ddict['energy'] = energy ddict['coherent'] = 0.0 * energy ddict['compton'] = 0.0 * energy ddict['photo'] = 0.0 * energy ddict['pair'] = 0.0 * energy ddict['all other'] = 0.0 * energy ddict['total'] = 0.0 * energy atomic_shells = ['M5', 'M4', 'M3', 'M2', 'M1', 'L3', 'L2', 'L1', 'K'] for key in atomic_shells: ddict[key] = 0.0 * energy #find interpolation point len_energy = len(energy) for i in range(len_energy): x = energy[i] if x > wdata['energy'][-2]: #take last value or extrapolate? print("Warning: Extrapolating data at the end") j1 = len(wdata['energy']) - 1 j0 = j1 - 1 elif x <= wdata['energy'][0]: #take first value or extrapolate? print("Warning: Extrapolating data at the beginning") j1 = 1 j0 = 0 else: j0 = numpy.max(numpy.nonzero(wdata['energy'] < x), axis=1) j1 = j0 + 1 x0 = wdata['energy'][j0] x1 = wdata['energy'][j1] if x == x1: if (j1 + 1 ) < len(wdata['energy']): if x1 == wdata['energy'][j1 + 1]: j0 = j1 j1 += 1 x0 = wdata['energy'][j0] x1 = wdata['energy'][j1] #coherent and incoherent for key in ['coherent', 'compton', 'pair', 'all other']: if (j0 == j1) or ((x1 - x0) < 5.E-10) or ((x1 - x) < 5.E-10) : ddict[key][i] = wdata[key][j1] else: y0 = wdata[key][j0] y1 = wdata[key][j1] if (y0 > 0) and (y1 > 0): ddict[key][i] = exp((log(y0) * log(x1/x) +\ log(y1) * log(x/x0))/log(x1/x0)) elif (y1 > 0) and ((x-x0) > 1.E-5): ddict[key][i] = exp((log(y1) * log(x/x0))/log(x1/x0)) #partial cross sections for key in atomic_shells: y0 = wdata[key][j0] if (y0 > 0.0) and (x >= binding[key]): #standard way y1 = wdata[key][j1] if (((x1 - x0) < 5.E-10) or ((x1 - x) < 5.E-10)): # no interpolation needed ddict[key][i] = y1 else: ddict[key][i] = exp((log(y0) * log(x1/x) +\ log(y1) * log(x/x0))/log(x1/x0)) elif (forced_shells == []) and (x < binding[key]): continue elif (key in forced_shells) or (x >= binding[key]): l = numpy.nonzero(wdata[key] > 0.0) if not len(l[0]): continue j00 = numpy.min(l) j01 = j00 + 1 x00 = wdata['energy'][j00] x01 = wdata['energy'][j01] y0 = wdata[key][j00] y1 = wdata[key][j01] ddict[key][i] = exp((log(y0) * log(x01/x) +\ log(y1) * log(x/x00))/log(x01/x00)) for key in ['all other'] + atomic_shells: ddict['photo'][i] += ddict[key][i] for key in ['coherent', 'compton', 'photo']: ddict['total'][i] += ddict[key][i] for key in ddict.keys(): ddict[key] = ddict[key].tolist() return ddict def getPhotoelectricWeights(element, shelllist, energy, normalize = None, totals = None): """ getPhotoelectricWeights(element,shelllist,energy,normalize=None,totals=None) Given a certain list of shells and one excitation energy, gives back the ratio mu(shell, energy)/mu(energy) where mu refers to the photoelectric mass attenuation coefficient. The special shell "all others" refers to all the shells not in the K, L or M groups. Therefore, valid values for the items in the shellist are: 'K', 'L1', 'L2', 'L3', 'M1', 'M2', 'M3', 'M4', 'M5', 'all other' For instance, for the K shell, it is the equivalent of (Jk-1)/Jk where Jk is the k jump. If normalize is None or True, normalizes the output to the shells given in shelllist. If totals is True, gives back the a dictionnary with all the mass attenuation coefficients used in the calculations. """ if normalize is None: normalize = True if totals is None: totals = False #it is not necessary to force shells because the proper way to work is to force this #module to respect a given set of binding energies. ddict = getElementCrossSections(element, energy=energy, forced_shells=None) w = [] d = ddict['photo'][0] for key in shelllist: if d > 0.0: wi = ddict[key][0]/d else: wi = 0.0 w += [wi] if normalize: total = sum(w) for i in range(len(w)): if total > 0.0: w[i] = w[i]/total else: w[i] = 0.0 if totals: return w, ddict else: return w PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/ClassMcaTheory.py0000644000276300001750000044174413151776255022461 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import sys import numpy import copy from .Strategies import STRATEGIES from . import ConcentrationsTool FISX = ConcentrationsTool.FISX if FISX: FisxHelper = ConcentrationsTool.FisxHelper from . import Elements from PyMca5.PyMcaMath.fitting import SpecfitFuns from PyMca5.PyMcaIO import ConfigDict from PyMca5.PyMcaMath.fitting import Gefit from PyMca5 import PyMcaDataDir DEBUG = 0 #"python ClassMcaTheory.py -s1.1 --file=03novs060sum.mca --pkm=McaTheory.dat --continuum=0 --strip=1 --sumflag=1 --maxiter=4" CONTINUUM_LIST = [None,'Constant','Linear','Parabolic','Linear Polynomial','Exp. Polynomial'] OLDESCAPE = 0 MAX_ATTENUATION = 1.0E-300 class McaTheory(object): def __init__(self, initdict=None, filelist=None, **kw): self.ydata0 = None self.xdata0 = None self.sigmay0 = None self.__lastTime = None self.strategyInstances = {} self.__toBeConfigured = False self.useFisxEscape(False) if initdict is None: dirname = PyMcaDataDir.PYMCA_DATA_DIR initdict = os.path.join(dirname, "McaTheory.cfg") if not os.path.exists(initdict): #Frozen version deals differently with the path dirname = os.path.dirname(dirname) initdict = os.path.join(dirname, "McaTheory.cfg") if not os.path.exists(initdict): if dirname.lower().endswith(".zip"): dirname = os.path.dirname(dirname) initdict = os.path.join(dirname, "McaTheory.cfg") if os.path.exists(initdict): self.config = ConfigDict.ConfigDict(filelist = initdict) else: print("Cannot find file McaTheory.cfg") raise IOError("File %s does not exist" % initdict) else: if os.path.exists(initdict): self.config = ConfigDict.ConfigDict(filelist = initdict) else: raise IOError("File %s does not exist" % initdict) self.config = {} self.config['fit'] = {} self.config['attenuators'] = {} if 'config' in kw: self.config.update(kw['config']) SpecfitFuns.fastagauss([1.0,10.0,1.0],numpy.arange(10.)) self.config['fit']['sumflag'] = kw.get('sumflag',self.config['fit']['sumflag']) self.config['fit']['escapeflag'] = kw.get('escapeflag', self.config['fit']['escapeflag']) self.config['fit']['continuum'] = kw.get('continuum', self.config['fit']['continuum']) self.config['fit']['stripflag'] = kw.get('stripflag', self.config['fit']['stripflag']) self.config['fit']['maxiter'] = kw.get('maxiter',self.config['fit']['maxiter']) self.config['fit']['hypermetflag']= kw.get('hypermetflag',self.config['fit']['hypermetflag']) self.attflag = kw.get('attenuatorsflag',1) self.lastxmin = None self.lastxmax = None self.laststrip = None self.laststripconstant = None self.laststripiterations = None self.laststripalgorithm = None self.lastsnipwidth = None self.laststripwidth = None self.laststripfilterwidth = None self.laststripanchorsflag = None self.laststripanchorslist = None self.disableOptimizedLinearFit() self.__configure() self.startFit = self.startfit #incompatible with multiple energies #Elements.registerUpdate(self._updateCallback) def useFisxEscape(self, flag=None): if flag: if FisxHelper.xcom is None: FisxHelper.xcom =FisxHelper.getElementsInstance() xcom = FisxHelper.xcom if hasattr(xcom, "setEscapeCacheEnabled"): xcom.setEscapeCacheEnabled(1) self.__USE_FISX_ESCAPE = True else: self.__USE_FISX_ESCAPE = False else: self.__USE_FISX_ESCAPE = False def enableOptimizedLinearFit(self): self._batchFlag = True def disableOptimizedLinearFit(self): self._batchFlag = False self.linearMatrix = None def setConfiguration(self, ddict): """ The current fit configuration dictionary is updated, but not replaced, by the input dictionary. It returns a copy of the final fit configuration. """ return self.configure(ddict) def getConfiguration(self): """ returns a copy of the current fit configuration parameters """ return self.configure() def getStartingConfiguration(self): # same output as calling configure but with the calling program # knowing what is going on (no warning) if self.__toBeConfigured: return copy.deepcopy(self.__originalConfiguration) else: return self.configure() def configure(self, newdict=None): if newdict in [None, {}]: if self.__toBeConfigured: if DEBUG: txt = "WARNING: This configuration is the one of last fit.\n" txt += "It does not correspond to the one of next fit." print(txt) return copy.deepcopy(self.config) self.config.update(newdict) self.__toBeConfigured = False self.__configure() return copy.deepcopy(self.config) def _updateCallback(self): print("no update callback") #self.config['fit']['energy'] = Elements.Element['Fe']['buildparameters']['energy'] #self.__configure() def __configure(self): self.linearMatrix = None #multilayer key self.config['multilayer'] = self.config.get('multilayer',{}) #update Elements material information self.config['materials'] = self.config.get('materials',{}) for material in self.config['materials'].keys(): Elements.Material[material] = copy.deepcopy(self.config['materials'][material]) #that was it #default peak shape parameters for pseudo-voigt function self.config['peakshape']['eta_factor'] = self.config['peakshape'].get('eta_factor', 0.02) self.config['peakshape']['fixedeta_factor'] = self.config['peakshape'].get('fixedeta_factor', 0) self.config['peakshape']['deltaeta_factor'] = self.config['peakshape'].get('deltaeta_factor', self.config['peakshape']['eta_factor']) #fit function self.config['fit']['fitfunction'] = self.config['fit'].get('fitfunction', None) if self.config['fit']['fitfunction'] is None: if self.config['fit']['hypermetflag']: self.config['fit']['fitfunction'] = 0 else: self.config['fit']['fitfunction'] = 1 #default strip function parameters self.config['fit']['stripalgorithm'] = self.config['fit'].get('stripalgorithm',0) self.config['fit']['snipwidth'] = self.config['fit'].get('snipwidth', 30) #linear fitting option self.config['fit']['linearfitflag'] = self.config['fit'].get('linearfitflag', 0) self.config['fit']['fitweight'] = self.config['fit'].get('fitweight', 1) self.config['fit']['energy'] = self.config['fit'].get('energy',None) if type(self.config['fit']['energy']) == type(""): self.config['fit']['energy'] = None self.config['fit']['energyweight'] = [1.0] self.config['fit']['energyflag'] = [1] self.config['fit']['energyscatter'] = [1] elif type(self.config['fit']['energy']) == type([]): pass else: self.config['fit']['energy']=[self.config['fit']['energy']] self.config['fit']['energyweight'] = [1.0] self.config['fit']['energyflag'] = [1] self.config['fit']['energyscatter'] = [1] maxenergy = None energylist= None if self.config['fit']['energy'] is not None: if max(self.config['fit']['energyflag']) == 0: energylist = None else: energylist = [] energyweight = [] energyflag = [] energyscatter = [] for i in range(len(self.config['fit']['energy'])): if self.config['fit']['energyflag'][i]: if self.config['fit']['energy'][i] is not None: energyflag.append(self.config['fit']['energyflag'][i]) energylist.append(self.config['fit']['energy'][i]) energyweight.append(self.config['fit']['energyweight'][i]) if 'energyscatter' in self.config['fit']: energyscatter.append(self.config['fit']['energyscatter'][i]) elif i==1: energyscatter.append(1) else: energyscatter.append(0) if maxenergy is None:maxenergy=self.config['fit']['energy'][i] if maxenergy < self.config['fit']['energy'][i]: maxenergy = self.config['fit']['energy'][i] self.config['fit']['scatterflag'] = self.config['fit'].get('scatterflag',0) self.config['fit']['deltaonepeak'] = self.config['fit'].get('deltaonepeak',0.010) self.config['fit']['linpolorder'] = self.config['fit'].get('linpolorder',6) self.config['fit']['exppolorder'] = self.config['fit'].get('exppolorder',6) self.config['fit']['stripconstant']= self.config['fit'].get('stripconstant',1.0) self.config['fit']['stripwidth']= int(self.config['fit'].get('stripwidth',1)) self.config['fit']['stripfilterwidth']= int(self.config['fit'].get('stripfilterwidth',5)) self.config['fit']['stripiterations'] = int(self.config['fit'].get('stripiterations',20000)) self.config['fit']['stripanchorsflag']= int(self.config['fit'].get('stripanchorsflag',0)) self.config['fit']['stripanchorslist']= self.config['fit'].get('stripanchorslist',[0,0,0,0]) deltaonepeak = self.config['fit']['deltaonepeak'] detele = self.config['detector']['detele'] detene = self.config['detector'].get('detene', 1.7420) self.config['detector']['detene'] = detene ethreshold = self.config['detector'].get('ethreshold', 0.020) nthreshold = self.config['detector'].get('nthreshold', 4) ithreshold = self.config['detector'].get('ithreshold', 1.0E-07) self.config['detector']['ethreshold'] = ethreshold self.config['detector']['ithreshold'] = ithreshold self.config['detector']['nthreshold'] = nthreshold usematrix = 0 attenuatorlist =[] filterlist = [] funnyfilters = [] detector = None multilayerlist = None self._fluoRates = None if self.attflag: for attenuator in self.config['attenuators'].keys(): if not self.config['attenuators'][attenuator][0]: continue # this should not be needed any longer #if len(self.config['attenuators'][attenuator]) == 4: # self.config['attenuators'][attenuator].append(1.0) if attenuator.upper() == "MATRIX": if self.config['attenuators'][attenuator][0]: usematrix = 1 matrix = self.config['attenuators'][attenuator][1:4] alphain= self.config['attenuators'][attenuator][4] alphaout= self.config['attenuators'][attenuator][5] else: usematrix = 0 break elif attenuator.upper() == "DETECTOR": detector = self.config['attenuators'][attenuator][1:] elif attenuator.upper()[0:-1] == "BEAMFILTER": filterlist.append(self.config['attenuators'][attenuator][1:]) else: if len(self.config['attenuators'][attenuator]) > 4: if abs(self.config['attenuators'][attenuator][4]-1.0) > 1.0e-10: #funny attenuator funnyfilters.append( \ self.config['attenuators'][attenuator][1:]) else: attenuatorlist.append( \ self.config['attenuators'][attenuator][1:]) else: attenuatorlist.append( \ self.config['attenuators'][attenuator][1:]) if usematrix: layerkeys = list(self.config['multilayer'].keys()) if len(layerkeys): layerkeys.sort() for layer in layerkeys: if self.config['multilayer'][layer][0]: if multilayerlist is None:multilayerlist = [] multilayerlist.append(self.config['multilayer'][layer][1:]) if (maxenergy is not None) and usematrix: #sort the peaks by atomic number data = [] for element in self.config['peaks'].keys(): if len(element) > 1: ele = element[0:1].upper()+element[1:2].lower() else: ele = element.upper() if maxenergy != Elements.Element[ele]['buildparameters']['energy']: Elements.updateDict (energy= maxenergy) if type(self.config['peaks'][element]) == type([]): for peak in self.config['peaks'][element]: data.append([Elements.getz(ele),ele,peak]) else: for peak in [self.config['peaks'][element]]: data.append([Elements.getz(ele),ele,peak]) data.sort() #build the peaks description PEAKS0 = [] PEAKS0NAMES = [] PEAKS0ESCAPE = [] PEAKSW=[] if self.config['fit']['fitfunction'] == 0: HYPERMET = self.config['fit']['hypermetflag'] else: HYPERMET = 0 noise = self.config['detector']['noise'] fano = self.config['detector']['fano'] elementsList =[] for item in data: if len(item[1]) > 1: elementsList.append(item[1][0].upper()+\ item[1][1].lower()) else: elementsList.append(item[1][0].upper()) #import time #t0=time.time() if matrix[0].upper() != "MULTILAYER": multilayer = [matrix * 1] else: if multilayerlist is not None: multilayer = multilayerlist * 1 else: text = "Your matrix is not properly defined.\n" text += "If you used the graphical interface,\n" text += "Please check the MATRIX tab" raise ValueError(text) self._fluoRates=Elements.getMultilayerFluorescence(multilayer, energylist, layerList = None, weightList = energyweight, flagList = energyflag, fulloutput=1, attenuators=attenuatorlist, alphain = alphain, alphaout = alphaout, #elementsList = elementsList, elementsList = data, cascade = True, detector=detector, funnyfilters=funnyfilters, beamfilters=filterlist, forcepresent = 1) dict = self._fluoRates[0] # this will not be needed once fisx replaces the Elements module if 'fisx' in self.config: if 'corrections' in self.config['fisx']: del self.config['fisx']['corrections'] if 'secondary' in self.config['fisx']: del self.config['fisx']['secondary'] self.config['fisx'] = {} secondary = False if 'concentrations' in self.config: secondary = self.config['concentrations'].get('usemultilayersecondary', False) if secondary and FISX: self.config['fisx'] = {} self.config['fisx']['corrections'] = FisxHelper.getFisxCorrectionFactorsFromFitConfiguration(self.config, elementsFromMatrix=False) self.config['fisx']['secondary'] = secondary # done with the calculation of the corrections to the total rate. For accurate line ratios, # the correction is to be applied layer by layer. # TODO:That implies the future use of fisx library for *everything* #print "getMatrixFluorescence elapsed = ",time.time()-t0 for item in data: newpeaks = [] newpeaksnames = [] element = item[1] if len(element) > 1: ele = element[0:1].upper()+element[1:2].lower() else: ele = element.upper() rays= item[2] +' xrays' if not rays in dict[ele]['rays']:continue for transition in dict[ele][rays]: if dict[ele][transition]['rate'] > 0.0: fwhm = numpy.sqrt(noise*noise + \ 0.00385 *dict[ele][transition]['energy']* fano*2.3548*2.3548) newpeaks.append([dict[ele][transition]['rate'], dict[ele][transition]['energy'], fwhm,0.0]) # 1.00,eta]) newpeaksnames.append(transition) #if ele == 'Au': #if 0: # print transition, 'energy = ',dict[ele][transition]['energy'],\ # 'rate = ',dict[ele][transition]['rate'],' fwhm =',fwhm ####################################### #--- renormalize to account for filter effects --- div = sum([x[0] for x in newpeaks]) try: for i in range(len(newpeaks)): newpeaks[i][0] /= div except ZeroDivisionError: text = "Intensity of %s %s is zero\n"% (ele, rays) text += "Too high attenuation?" raise ZeroDivisionError(text) #--- sort --- div=[[newpeaks[i][1],newpeaks[i][0],newpeaksnames[i]] for i in range(len(newpeaks))] div.sort() #print "before = ",len(newpeaksnames) div = Elements._filterPeaks(div, ethreshold = deltaonepeak, ithreshold = 0.0005, #ithreshold = ithreshold, nthreshold = None, keeptotalrate=True) newpeaks = [[x[1],x[0],0.00385*x[0]*fano*2.3548*2.3548,0.0] for x in div] newpeaksnames = [x[2] for x in div] #print "after = ",len(newpeaksnames) #print "newpeaks = ",newpeaks if not len(newpeaks): text = "No %s for element %s" % (rays, ele) text += "\nToo high attenuation?" raise ValueError(text) (r,c)=(numpy.array(newpeaks)).shape PEAKS0ESCAPE.append([]) _nescape_ = 0 if self.config['fit']['escapeflag']: if self.__USE_FISX_ESCAPE: if DEBUG: print("Using fisx escape") xcom = FisxHelper.xcom detector_composition = Elements.getMaterialMassFractions([detele], [1.0]) xcom.updateEscapeCache(detector_composition, [newpeaks[i][1] for i in range(len(newpeaks))], energyThreshold=ethreshold, intensityThreshold=ithreshold, nThreshold=nthreshold) for i in range(len(newpeaks)): _esc_ = xcom.getEscape(detector_composition, newpeaks[i][1], energyThreshold=ethreshold, intensityThreshold=ithreshold, nThreshold=nthreshold) _esc_ = [[_esc_[x]["energy"], _esc_[x]["rate"], x[:-3].replace("_"," ")] for x in _esc_] _esc_ = Elements._filterPeaks(_esc_, ethreshold=ethreshold, ithreshold=ithreshold, nthreshold=nthreshold, absoluteithreshold=True, keeptotalrate=False) PEAKS0ESCAPE[-1].append(_esc_) _nescape_ += len(_esc_) else: for i in range(len(newpeaks)): _esc_ = Elements.getEscape([detele,1.0,1.0], newpeaks[i][1], ethreshold=ethreshold, ithreshold=ithreshold, nthreshold=nthreshold) PEAKS0ESCAPE[-1].append(_esc_) _nescape_ += len(_esc_) PEAKS0.append(numpy.array(newpeaks)) PEAKS0NAMES.append(newpeaksnames) #print ele,"PEAKS0ESCAPE[-1] = ",PEAKS0ESCAPE[-1] if not HYPERMET: if self.config['fit']['escapeflag']: if OLDESCAPE: PEAKSW.append(numpy.ones((2*r,3+1),numpy.float)) else: PEAKSW.append(numpy.ones(((r+_nescape_),3+1), numpy.float)) else: PEAKSW.append(numpy.ones((r,3+1),numpy.float)) else: if self.config['fit']['escapeflag']: if OLDESCAPE: PEAKSW.append(numpy.ones((2*r,3+5),numpy.float)) else: PEAKSW.append(numpy.ones(((r+_nescape_),3+5), numpy.float)) else: PEAKSW.append(numpy.ones((r,3+5),numpy.float)) ####################################### else: if usematrix and (maxenergy is None): text = "Invalid energy for matrix configuration.\n" text += "Please check your BEAM parameters." raise ValueError(text) elif ((not usematrix) and (self.config['fit']['energy'] is None)) or \ ((not usematrix) and (self.config['fit']['energy'] == [None])) or\ ((not usematrix) and (self.config['fit']['energy'] == ["None"])) or\ ((not usematrix) and (energylist is None)) or\ ((not usematrix) and (len(energylist) == 1)): #print "OLD METHOD" data = [] for element in self.config['peaks'].keys(): if len(element) > 1: ele = element[0:1].upper()+element[1:2].lower() else: ele = element.upper() if maxenergy != Elements.Element[ele]['buildparameters']['energy']: Elements.updateDict (energy= maxenergy) if type(self.config['peaks'][element]) == type([]): for peak in self.config['peaks'][element]: data.append([Elements.getz(ele),ele,peak]) else: for peak in [self.config['peaks'][element]]: data.append([Elements.getz(ele),ele,peak]) data.sort() #build the peaks description PEAKS0 = [] PEAKS0NAMES = [] PEAKS0ESCAPE = [] PEAKSW=[] if self.config['fit']['fitfunction'] == 0: HYPERMET = self.config['fit']['hypermetflag'] else: HYPERMET = 0 noise = self.config['detector']['noise'] fano = self.config['detector']['fano'] for item in data: newpeaks = [] newpeaksnames = [] element = item[1] if len(element) > 1: ele = element[0:1].upper()+element[1:2].lower() else: ele = element.upper() rays= item[2] +' xrays' if not rays in Elements.Element[ele]['rays']:continue eta = 0.0 for transition in Elements.Element[ele][rays]: eta = 0.0 fwhm = numpy.sqrt(noise*noise + \ 0.00385 *Elements.Element[ele][transition]['energy']* fano*2.3548*2.3548) newpeaks.append([Elements.Element[ele][transition]['rate'], Elements.Element[ele][transition]['energy'], fwhm,eta]) # 1.00,eta]) newpeaksnames.append(transition) if self.attflag: transmissionenergies = [x[1] for x in newpeaks] oldfunnyfactor = None for attenuator in self.config['attenuators'].keys(): if self.config['attenuators'][attenuator][0]: formula = self.config['attenuators'][attenuator][1] thickness= self.config['attenuators'][attenuator][2] * \ self.config['attenuators'][attenuator][3] if len(self.config['attenuators'][attenuator]) == 4: funnyfactor = 1.0 else: funnyfactor = self.config['attenuators'][attenuator][4] if attenuator.upper() != "MATRIX": #coeffs = thickness * numpy.array(Elements.getmassattcoef(formula,transmissionenergies)['total']) coeffs = thickness * numpy.array(Elements.getMaterialMassAttenuationCoefficients(formula,1.0,transmissionenergies)['total']) try: if attenuator.upper() != "DETECTOR": if abs(funnyfactor-1.0) > 1.0e-10: #we have a funny attenuator if (funnyfactor < 0.0) or (funnyfactor > 1.0): text = "Funny factor should be between 0.0 and 1.0., got %g" % attenuator[4] raise ValueError(text) if oldfunnyfactor is None: #only has to be multiplied once!!! oldfunnyfactor = funnyfactor trans = funnyfactor * numpy.exp(-coeffs) + \ (1.0 - funnyfactor) else: if abs(oldfunnyfactor-funnyfactor) > 0.0001: text = "All funny type attenuators must have same openning fraction" raise ValueError(text) trans = numpy.exp(-coeffs) else: #standard trans = numpy.exp(-coeffs) else: trans = (1.0 - numpy.exp(-coeffs)) except OverflowError: if coeffs < 0: raise ValueError("Positive exponent on transmission term") else: if attenuator.upper() == "DETECTOR": trans = 1.0 else: trans = 0.0 for i in range(len(newpeaks)): #if ele == 'Pb': # print "energy = %.3f ratio=%.5f transmission = %.5g final=%.5g" % (newpeaks[i][1], newpeaks[i][0],trans[i],trans[i] * newpeaks[i][0]) newpeaks[i][0] *= trans[i] if newpeaks[i][0] < MAX_ATTENUATION: newpeaks[i][0] = 0.0 else: #add the excitation energy #excitation energy = self.config['fit']['energy'] or be registered to # elements callback try: alphaIn = self.config['attenuators'][attenuator][4] except: print("warning, alphaIn set to 45 degrees") alphaIn = 45.0 try: alphaOut = self.config['attenuators'][attenuator][5] except: print("warning, alphaOut set to 45 degrees") alphaOut = 45.0 matrixExcitationEnergy = Elements.Element[ele]['buildparameters']['energy'] #matrixExcitationEnergy = self.config['fit']['energy'] if matrixExcitationEnergy is not None: transmissionenergies.append(matrixExcitationEnergy) #transmissionenergies.append(self.config['fit']['energy']) coeffs = Elements.getMaterialMassAttenuationCoefficients(formula,1.0,transmissionenergies)['total'] sinAlphaIn = numpy.sin(alphaIn * (numpy.pi)/180.) sinAlphaOut = numpy.sin(alphaOut * (numpy.pi)/180.) #if ele == 'Pb': # oldRatio = [] for i in range(len(newpeaks)): #thick target term trans = 1.0/(coeffs[-1] + coeffs[i] * (sinAlphaIn/sinAlphaOut)) if thickness > 0.0: if abs(sinAlphaIn) > 0.0: expterm = -((coeffs[-1]/sinAlphaIn) +(coeffs[i]/sinAlphaOut)) * thickness if expterm > 0.0: raise ValueError("Positive exponent on transmission term") if expterm < 30: #avoid overflow error in frozen versions try: expterm = numpy.exp(expterm) except OverflowError: expterm = 0.0 trans *= (1.0 - expterm) #if ele == 'Pb': # oldRatio.append(newpeaks[i][0]) # print "energy = %.3f ratio=%.5f transmission = %.5g final=%.5g" % (newpeaks[i][1], newpeaks[i][0],trans,trans * newpeaks[i][0]) newpeaks[i][0] *= trans if newpeaks[i][0] < MAX_ATTENUATION: newpeaks[i][0] = 0.0 del transmissionenergies[-1] else: raise ValueError(\ "Invalid excitation energy") #--- renormalize div = sum([x[0] for x in newpeaks]) try: for i in range(len(newpeaks)): newpeaks[i][0] /= div except ZeroDivisionError: text = "Intensity of %s %s is zero\n"% (ele, rays) text += "Too high attenuation?" raise ZeroDivisionError(text) """ if ele == 'Pb': dummyNew = [[newpeaks[i][1],oldRatio[i],newpeaks[i][0],newpeaks[i][0]/ oldRatio[i] ] for i in range(len(newpeaks))] dummyNew.sort() for i in range(len(newpeaks)): print "FINAL energy = %.3f oldratio = %.5g newratio=%.5g new/old = %.5g" % (dummyNew[i][0], dummyNew[i][1], dummyNew[i][2], dummyNew[i][3]) """ #--- sort --- div=[[newpeaks[i][1],newpeaks[i],newpeaksnames[i]] for i in range(len(newpeaks))] div.sort() newpeaks =[div[i][1] for i in range(len(div))] newpeaksnames=[div[i][2] for i in range(len(div))] #print "BEFORE " #for i in range(len(newpeaksnames)): # print newpeaksnames[i], newpeaks[i][1], newpeaks[i][0] tojoint=[] if len(newpeaks) > 1: if 0: #if ele == "Kr": print("ELEMENTS FILTERING ") testPeaks = [[div[i][0], div[i][1][0], div[i][2]] for i in range(len(div))] testPeaks = Elements._filterPeaks(testPeaks, ethreshold=deltaonepeak, keeptotalrate=True) for i in range(len(testPeaks)): print(testPeaks[i][2], testPeaks[i][0], testPeaks[i][1]) for i in range(len(newpeaks)): for j in range(i,len(newpeaks)): if i != j: if abs(newpeaks[i][1]-newpeaks[j][1]) < deltaonepeak: if len(tojoint): if (i in tojoint[-1]) and (j in tojoint[-1]): pass elif (i in tojoint[-1]): tojoint[-1].append(j) elif (j in tojoint[-1]): tojoint[-1].append(i) else: tojoint.append([i,j]) else: tojoint.append([i,j]) if len(tojoint): mix=[] mixname=[] for _group in tojoint: rate = 0.0 for i in _group: rate += newpeaks[i][0] ene = 0.0 fwhm = 0.0 eta = 0.0 j = 0 for i in _group: if j == 0: _threshold = newpeaks[i][0] transition = newpeaksnames[i] j = 1 ene += newpeaks[i][0] * newpeaks[i][1]/rate fwhm += newpeaks[i][0] * newpeaks[i][2]/rate eta += newpeaks[i][0] * newpeaks[i][3]/rate if newpeaks[i][0] > _threshold: _threshold = newpeaks[i][0] transition=newpeaksnames[i] mix.append([rate,ene,fwhm,eta]) mixname.append(transition) for i in range(1,len(tojoint)+1): for j in range(1,len(tojoint[-i])+1): del newpeaks[tojoint[-i][-j]] del newpeaksnames[tojoint[-i][-j]] for peak in mix: newpeaks.append(peak) for peakname in mixname: newpeaksnames.append(peakname) #if ele == "Fe": if 0: for i in range(len(newpeaks)): print(newpeaksnames[i],newpeaks[i]) #print "len newpeaks = ",len(newpeaks) (r,c)=(numpy.array(newpeaks)).shape PEAKS0ESCAPE.append([]) _nescape_ = 0 if self.config['fit']['escapeflag']: if self.__USE_FISX_ESCAPE: if DEBUG: print("Using fisx escape") xcom = FisxHelper.xcom detector_composition = Elements.getMaterialMassFractions([detele], [1.0]) xcom.updateEscapeCache(detector_composition, [newpeaks[i][1] for i in range(len(newpeaks))], energyThreshold=ethreshold, intensityThreshold=ithreshold, nThreshold=nthreshold) for i in range(len(newpeaks)): _esc_ = xcom.getEscape(detector_composition, newpeaks[i][1], energyThreshold=ethreshold, intensityThreshold=ithreshold, nThreshold=nthreshold) _esc_ = [[_esc_[x]["energy"], _esc_[x]["rate"], x[:-3].replace("_"," ")] for x in _esc_] _esc_ = Elements._filterPeaks(_esc_, ethreshold=ethreshold, ithreshold=ithreshold, nthreshold=nthreshold, absoluteithreshold=True, keeptotalrate=False) PEAKS0ESCAPE[-1].append(_esc_) _nescape_ += len(_esc_) else: for i in range(len(newpeaks)): _esc_ = Elements.getEscape([detele,1.0,1.0], newpeaks[i][1], ethreshold=ethreshold, ithreshold=ithreshold, nthreshold=nthreshold) PEAKS0ESCAPE[-1].append(_esc_) _nescape_ += len(_esc_) PEAKS0.append(numpy.array(newpeaks)) PEAKS0NAMES.append(newpeaksnames) #print ele,"PEAKS0ESCAPE[-1] = ",PEAKS0ESCAPE[-1] if not HYPERMET: if self.config['fit']['escapeflag']: if OLDESCAPE: PEAKSW.append(numpy.ones((2*r,3 + 1),numpy.float)) else: PEAKSW.append(numpy.ones(((r+_nescape_),3 + 1), numpy.float)) else: PEAKSW.append(numpy.ones((r,3 + 1),numpy.float)) else: if self.config['fit']['escapeflag']: if OLDESCAPE: PEAKSW.append(numpy.ones((2*r,3+5),numpy.float)) else: PEAKSW.append(numpy.ones(((r+_nescape_),3+5), numpy.float)) else: PEAKSW.append(numpy.ones((r,3+5),numpy.float)) elif (not usematrix) and (len(energylist) > 1): raise ValueError("Multiple energies require a matrix definition") else: print("Unknown case") print("usematrix = ",usematrix) print("self.config['fit']['energy'] =",self.config['fit']['energy']) raise ValueError("Unhandled Sample Matrix and Energy combination") ############### #add scatter peak if energylist is not None: if len(energylist) and \ (self.config['fit']['scatterflag']): for scatterindex in range(len(energylist)): if energyscatter[scatterindex]: ene = energylist[scatterindex] #print "ene = ",ene,"scatterindex = ",scatterindex #print "scatter for first energy" if ene > 0.2: for i in range(2): ene = energylist[scatterindex] if i == 1: try: alphaIn = self.config['attenuators']['Matrix'][4] except: print("WARNING: Matrix incident angle set to 45 deg.") alphaIn = 45.0 try: alphaOut = self.config['attenuators']['Matrix'][5] except: print("WARNING: Matrix outgoing angle set to 45 deg.") alphaOut = 45.0 scatteringAngle = (alphaIn + alphaOut) if len(self.config['attenuators']['Matrix']) == 8: if self.config['attenuators']['Matrix'][6]: scatteringAngle = self.config['attenuators']\ ['Matrix'][7] scatteringAngle = scatteringAngle * numpy.pi/180. ene = ene / (1.0 + (ene/511.0) * (1.0 - numpy.cos(scatteringAngle))) fwhm = numpy.sqrt(noise*noise + \ 0.00385 *ene* fano*2.3548*2.3548) PEAKS0.append(numpy.array([[1.0, ene, fwhm, 0.0]])) PEAKS0NAMES.append(['Scatter %03d' % scatterindex]) PEAKS0ESCAPE.append([]) _nescape_ = 0 if self.config['fit']['escapeflag']: if self.__USE_FISX_ESCAPE: if DEBUG: print("Using fisx escape") xcom = FisxHelper.xcom detector_composition = Elements.getMaterialMassFractions([detele], [1.0]) xcom.updateEscapeCache(detector_composition, [ene], energyThreshold=ethreshold, intensityThreshold=ithreshold, nThreshold=nthreshold) _esc_ = xcom.getEscape(detector_composition, ene, energyThreshold=ethreshold, intensityThreshold=ithreshold, nThreshold=nthreshold) _esc_ = [[_esc_[x]["energy"], _esc_[x]["rate"], x[:-3].replace("_"," ")] for x in _esc_] _esc_ = Elements._filterPeaks(_esc_, ethreshold=ethreshold, ithreshold=ithreshold, nthreshold=nthreshold, absoluteithreshold=True, keeptotalrate=False) else: _esc_ = Elements.getEscape([detele,1.0,1.0], ene, ethreshold=ethreshold, ithreshold=ithreshold, nthreshold=nthreshold) PEAKS0ESCAPE[-1].append(_esc_) _nescape_ += len(_esc_) r = 1 if not HYPERMET: if self.config['fit']['escapeflag']: if OLDESCAPE: PEAKSW.append(numpy.ones((2*r, 3 + 1),numpy.float)) else: PEAKSW.append(numpy.ones(((r+_nescape_), 3 + 1), numpy.float)) else: PEAKSW.append(numpy.ones((r, 3 + 1),numpy.float)) else: if self.config['fit']['escapeflag']: if OLDESCAPE: PEAKSW.append(numpy.ones((2*r, 3+5),numpy.float)) else: PEAKSW.append(numpy.ones(((r+_nescape_),3+5), numpy.float)) else: PEAKSW.append(numpy.ones((r,3+5),numpy.float)) ######### PARAMETERS=['Zero','Gain','Noise','Fano','Sum'] CONTINUUM = self.config['fit']['continuum'] #CONTINUUM_LIST = [None,'Constant','Linear','Parabolic', # 'Linear Polynomial','Exp. Polynomial'] if CONTINUUM < CONTINUUM_LIST.index('Linear Polynomial'): PARAMETERS.append('Constant') PARAMETERS.append('1st Order') if CONTINUUM >2: PARAMETERS.append('2nd Order') elif CONTINUUM == CONTINUUM_LIST.index('Linear Polynomial'): for i in range(self.config['fit']['linpolorder']+1): PARAMETERS.append('A%d' % i) elif CONTINUUM == CONTINUUM_LIST.index('Exp. Polynomial'): for i in range(self.config['fit']['exppolorder']+1): PARAMETERS.append('A%d' % i) if HYPERMET: PARAMETERS.append('ST AreaR') PARAMETERS.append('ST SlopeR') PARAMETERS.append('LT AreaR') PARAMETERS.append('LT SlopeR') PARAMETERS.append('STEP HeightR') else: PARAMETERS.append('Eta Factor') NGLOBAL = len(PARAMETERS) for item in data: PARAMETERS.append(item[1]+" "+item[2]) if energylist is not None: if len(energylist) and \ (self.config['fit']['scatterflag']): for scatterindex in range(len(energylist)): if energyscatter[scatterindex]: ene = energylist[scatterindex] #print "ene = ",ene,"scatterindex = ",scatterindex #print "scatter for first energy" if ene > 0.2: PARAMETERS.append("Scatter Peak%03d" % scatterindex) PARAMETERS.append("Scatter Compton%03d" % scatterindex) #PARAMETERS.append("Scatter Peak") #PARAMETERS.append("Scatter Compton") self.PEAKS0 = PEAKS0 self.PEAKS0ESCAPE = PEAKS0ESCAPE #for i in range(len(PEAKS0)): # print self.PEAKS0[i] # print self.PEAKS0ESCAPE[i] self.PEAKS0NAMES= PEAKS0NAMES self.PEAKSW = PEAKSW self.FASTER = 1 self.__HYPERMET = HYPERMET self.NGLOBAL = NGLOBAL self.PARAMETERS = PARAMETERS self.ESCAPE = self.config['fit']['escapeflag'] self.__SUM = self.config['fit']['sumflag'] self.__CONTINUUM = CONTINUUM self.MAXITER = self.config['fit']['maxiter'] self.STRIP = self.config['fit']['stripflag'] #if self.laststrip is not None: self.__mycounter = 0 calculateStrip = False if (self.STRIP != self.laststrip) or \ (self.config['fit']['stripalgorithm'] != self.laststripalgorithm) or \ (self.config['fit']['stripfilterwidth'] != self.laststripfilterwidth) or \ (self.config['fit']['stripanchorsflag'] != self.laststripanchorsflag) or \ (self.config['fit']['stripanchorslist'] != self.laststripanchorslist): calculateStrip = True if not calculateStrip: if self.config['fit']['stripalgorithm'] == 1: #checking if needed to calculate SNIP if (self.config['fit']['snipwidth'] != self.lastsnipwidth): calculateStrip = True else: #checking if needed to calculate strip if (self.config['fit']['stripiterations'] != self.laststripiterations) or \ (self.config['fit']['stripwidth'] != self.laststripwidth) or \ (self.config['fit']['stripconstant'] != self.laststripconstant): calculateStrip = True if (self.lastxmin != self.config['fit']['xmin']) or\ (self.lastxmax != self.config['fit']['xmax']): if self.ydata0 is not None: if DEBUG: print("Limits changed") self.setData(x=self.xdata0, y=self.ydata0, sigmay=self.sigmay0, xmin = self.config['fit']['xmin'], xmax = self.config['fit']['xmax'], time = self.__lastTime) return if hasattr(self, "xdata"): if self.STRIP: if calculateStrip: if DEBUG: print("Calling to calculate non analytical background in config") self.__getselfzz() else: if DEBUG: print("Using previous non analytical background in config") self.datatofit = numpy.concatenate((self.xdata, self.ydata-self.zz, self.sigmay),1) self.laststrip = 1 else: if DEBUG: print("Using previous data") self.datatofit = numpy.concatenate((self.xdata, self.ydata, self.sigmay),1) self.laststrip = 0 def setdata(self, *var, **kw): print("ClassMcaTheory.setdata deprecated, please use setData") return self.setData(*var, **kw) def setData(self,*var,**kw): """ Method to update the data to be fitted. It accepts several combinations of input arguments, the simplest to take into account is: setData(x, y sigmay=None, xmin=None, xmax=None) x corresponds to the spectrum channels y corresponds to the spectrum counts sigmay is the uncertainty associated to the counts. If not given, Poisson statistics will be assumed. If the fit configuration is set to no weight, it will not be used. xmin and xmax define the limits to be considered for performing the fit. If the fit configuration flag self.config['fit']['use_limit'] is set, they will be ignored. If xmin and xmax are not given, the whole given spectrum will be considered for fitting. time (seconds) is the factor associated to the flux, only used when using a strategy based on concentrations """ if self.__toBeConfigured: if DEBUG: print("setData RESTORE ORIGINAL CONFIGURATION") self.configure(self.__originalConfiguration) if 'x' in kw: x=kw['x'] elif len(var) >1: x=var[0] else: x=None if 'y' in kw: y=kw['y'] elif len(var) > 1: y=var[1] elif len(var) == 1: y=var[0] else: y=None if 'sigmay' in kw: sigmay=kw['sigmay'] elif len(var) >2: sigmay=var[2] else: sigmay=None if y is None: return 1 else: self.ydata0=numpy.array(y) self.ydata=numpy.array(y) if x is None: self.xdata0=numpy.arange(len(self.ydata0)) self.xdata=numpy.arange(len(self.ydata0)) else: self.xdata0=numpy.array(x) self.xdata=numpy.array(x) if sigmay is None: dummy = numpy.sqrt(abs(self.ydata0)) self.sigmay0=numpy.reshape(dummy + numpy.equal(dummy,0),self.ydata0.shape) self.sigmay=numpy.reshape(dummy + numpy.equal(dummy,0),self.ydata0.shape) else: self.sigmay0=numpy.array(sigmay) self.sigmay=numpy.array(sigmay) timeFactor = kw.get("time", None) self.__lastTime = timeFactor if timeFactor is None: if "concentrations" in self.config: if self.config["concentrations"].get("useautotime", False): if not self.config["concentrations"]["usematrix"]: msg = "Requested to use time from data but not present!!" raise ValueError(msg) elif self.config["concentrations"].get("useautotime", False): self.config["concentrations"]["time"] = timeFactor xmin = self.config['fit']['xmin'] if not self.config['fit']['use_limit']: if 'xmin' in kw: xmin=kw['xmin'] if xmin is not None: self.config['fit']['xmin'] = xmin else: xmin=min(self.xdata) elif len(self.xdata): xmin=min(self.xdata) xmax = self.config['fit']['xmax'] if not self.config['fit']['use_limit']: if 'xmax' in kw: xmax=kw['xmax'] if xmax is not None: self.config['fit']['xmax'] = xmax else: xmax=max(self.xdata) elif len(self.xdata): xmax=max(self.xdata) self.lastxmin = xmin self.lastxmax = xmax if len(self.xdata): #sort the data i1=numpy.argsort(self.xdata) self.xdata=numpy.take(self.xdata,i1) self.ydata=numpy.take(self.ydata,i1) self.sigmay=numpy.take(self.sigmay,i1) #take the data between limits i1=numpy.nonzero((self.xdata >=xmin) & (self.xdata<=xmax))[0] self.xdata=numpy.take(self.xdata,i1) n=len(self.xdata) #Calculate the background just of the regions gives better results #self.zz=SpecfitFuns.subac(self.ydata,1.000,20000) #self.zz =numpy.take(self.zz,i1) self.ydata=numpy.take(self.ydata,i1) #calculate the background here gives better results if not self.config['fit']['linearfitflag']: self.__getselfzz() else: if self.STRIP: self.__getselfzz() else: self.laststrip = None self.zz = numpy.zeros((n,1),numpy.float) self.sigmay=numpy.take(self.sigmay,i1) self.xdata = numpy.resize(self.xdata,(n,1)) self.ydata = numpy.resize(self.ydata,(n,1)) self.sigmay= numpy.resize(self.sigmay,(n,1)) if self.STRIP: self.datatofit = numpy.concatenate((self.xdata, self.ydata-self.zz, self.sigmay),1) self.laststrip = 1 else: self.datatofit = numpy.concatenate((self.xdata,self.ydata,self.sigmay),1) if self.config['fit']['linearfitflag']: self.laststrip = None else: self.laststrip = 0 def getLastTime(self): return self.__lastTime def __smooth(self,y): f=[0.25,0.5,0.25] try: if hasattr(y, "shape"): if len(y.shape) > 1: result=SpecfitFuns.SavitskyGolay(numpy.ravel(y).astype(numpy.float), self.config['fit']['stripfilterwidth']) else: result=SpecfitFuns.SavitskyGolay(numpy.array(y).astype(numpy.float), self.config['fit']['stripfilterwidth']) else: result=SpecfitFuns.SavitskyGolay(numpy.array(y).astype(numpy.float), self.config['fit']['stripfilterwidth']) except: print("Unsuccessful Savitsky-Golay smoothing: %s" % sys.exc_info()) raise result=numpy.array(y).astype(numpy.float) if len(result) > 1: result[1:-1]=numpy.convolve(result,f,mode=0) result[0]=0.5*(result[0]+result[1]) result[-1]=0.5*(result[-1]+result[-2]) return result def __getselfzz(self): n=len(self.xdata) #loop for anchors anchorslist = [] if self.config['fit']['stripanchorsflag']: if self.config['fit']['stripanchorslist'] is not None: ravelled = numpy.ravel(self.xdata) for channel in self.config['fit']['stripanchorslist']: if channel <= ravelled[0]:continue index = numpy.nonzero(ravelled >= channel)[0] if len(index): index = min(index) if index > 0: anchorslist.append(index) #work with smoothed data ysmooth = numpy.ravel(self.__smooth(self.ydata)) #SNIP algorithm if self.config['fit']['stripalgorithm'] == 1: if DEBUG: print("CALCULATING SNIP") if len(anchorslist) == 0: anchorslist = [0, len(ysmooth)-1] anchorslist.sort() self.zz = 0.0 * ysmooth lastAnchor = 0 width = self.config['fit']['snipwidth'] for anchor in anchorslist: if (anchor > lastAnchor) and (anchor < len(ysmooth)): self.zz[lastAnchor:anchor] =\ SpecfitFuns.snip1d(ysmooth[lastAnchor:anchor], width, 0) lastAnchor = anchor if lastAnchor < len(ysmooth): self.zz[lastAnchor:] =\ SpecfitFuns.snip1d(ysmooth[lastAnchor:], width, 0) self.zz.shape = n, 1 self.laststripalgorithm = self.config['fit']['stripalgorithm'] self.lastsnipwidth = self.config['fit']['snipwidth'] self.laststripfilterwidth = self.config['fit']['stripfilterwidth'] self.laststripanchorsflag = self.config['fit']['stripanchorsflag'] self.laststripanchorslist = self.config['fit']['stripanchorslist'] return #strip background niter = self.config['fit']['stripiterations'] if niter > 0: if DEBUG: print("CALCULATING STRIP") if (niter > 1000) and (self.config['fit']['stripwidth'] == 1): self.zz=SpecfitFuns.subac(ysmooth, self.config['fit']['stripconstant'], niter/20,4, anchorslist) self.zz=SpecfitFuns.subac(self.zz, self.config['fit']['stripconstant'], niter/4, self.config['fit']['stripwidth'], anchorslist) else: self.zz=SpecfitFuns.subac(ysmooth, self.config['fit']['stripconstant'], niter, self.config['fit']['stripwidth'], anchorslist) if niter > 1000: #make sure to get something smooth self.zz = SpecfitFuns.subac(self.zz, self.config['fit']['stripconstant'], 500,1, anchorslist) else: #make sure to get something smooth but with less than #500 iterations self.zz = SpecfitFuns.subac(self.zz, self.config['fit']['stripconstant'], int(self.config['fit']['stripwidth']*2), 1, anchorslist) self.zz = numpy.resize(self.zz,(n,1)) else: self.zz = numpy.zeros((n,1),numpy.float) + min(ysmooth) self.laststripalgorithm = self.config['fit']['stripalgorithm'] self.laststripwidth = self.config['fit']['stripwidth'] self.laststripfilterwidth = self.config['fit']['stripfilterwidth'] self.laststripconstant = self.config['fit']['stripconstant'] self.laststripiterations = self.config['fit']['stripiterations'] self.laststripanchorsflag = self.config['fit']['stripanchorsflag'] self.laststripanchorslist = self.config['fit']['stripanchorslist'] def getPeakMatrixContribution(self,param0,t0=None,hypermet=None, continuum=None,summing=None): """ For the time being a huge copy paste from mcatheory """ if continuum is None: continuum = self.__CONTINUUM if hypermet is None: hypermet = self.__HYPERMET if summing is None: summing = self.__SUM param= numpy.array(param0) #param= numpy.ones(param.shape, numpy.float) if t0 is None:t0 = self.xdata x = numpy.array(t0) matrix = numpy.zeros((len(x),len(param)-self.NGLOBAL)).astype(numpy.float) zero = param[0] gain = param[1] energy=zero + gain * x #print energy noise= param[2] * param[2] fano = param[3] * 2.3548*2.3548*0.00385 #t=time.time() PEAKS0 = self.PEAKS0 PEAKS0ESCAPE = self.PEAKS0ESCAPE PEAKSW = self.PEAKSW PARAMETERS = self.PARAMETERS FASTER = 0 for i in range(len(param[self.NGLOBAL:])): result = 0 * energy if self.ESCAPE: #area = param[NGLOBAL+i] (r,c) = (PEAKS0[i]).shape PEAKSW[i][0:r,0] = PEAKS0[i][:,0] * 1 * gain PEAKSW[i][0:r,1] = PEAKS0[i][:,1] * 1.0 PEAKSW[i][0:r,2] = numpy.sqrt(noise + PEAKS0[i][:,1] * fano) #escape if OLDESCAPE: PEAKSW[i][r:,0] = PEAKSW[i][0:r,0] * PEAKS0[i][:,3] PEAKSW[i][r:,1] = PEAKS0[i][:,1] - self.config['detector']['detene'] PEAKSW[i][r:,2] = numpy.sqrt(noise + \ (PEAKSW[i][r:,1]>0) * PEAKSW[i][r:,1] * fano) else: ii=0 j=0 for esc_group in PEAKS0ESCAPE[i]: for esc_line in esc_group: esc_ene = esc_line[0] * 1.0 esc_rate = esc_line[1] PEAKSW[i][j+r,0] = PEAKSW[i][ii,0] * esc_rate PEAKSW[i][j+r,1] = esc_ene j = j + 1 ii = ii + 1 PEAKSW[i][r:, 2] = numpy.sqrt(noise + \ (PEAKSW[i][r:,1]>0) * PEAKSW[i][r:,1] * fano) (rw,cw) = (PEAKSW[i]).shape if 0 and self.PARAMETERS[self.NGLOBAL+i] =='Fe K': for ii in range(rw): if ii < r: print(self.PARAMETERS[self.NGLOBAL+i],"PEAK ",ii,PEAKSW[i][ii]) else: print(self.PARAMETERS[self.NGLOBAL+i],"PEAKesc ",ii,PEAKSW[i][ii]) #print PARAMETERS[self.NGLOBAL+i] #print PEAKSW[i][:,1] #print PEAKS0ESCAPE[i] #for j in range(PEAKSW[i].shape[0]): # print "H = ", PEAKSW[i][j*r,0],"E = ",PEAKSW[i][j*r,1] #if HYPERMET: if hypermet: PEAKSW[i] [0:r,3] = param[PARAMETERS.index('ST AreaR')] PEAKSW[i] [:,4] = param[PARAMETERS.index('ST SlopeR')] PEAKSW[i] [0:r,5] = param[PARAMETERS.index('LT AreaR')] PEAKSW[i] [:,6] = param[PARAMETERS.index('LT SlopeR')] PEAKSW[i] [0:r,7] = param[PARAMETERS.index('STEP HeightR')] #neglect tails in escape peaks PEAKSW[i] [r:,3] = 0.0 PEAKSW[i] [r:,5] = 0.0 PEAKSW[i] [r:,7] = 0.0 if not FASTER: #if HYPERMET: if hypermet: if i == 0: result = SpecfitFuns.ahypermet(PEAKSW[i],energy,hypermet) else: result += SpecfitFuns.ahypermet(PEAKSW[i],energy,hypermet) else: if i == 0: result = SpecfitFuns.apvoigt(PEAKSW[i],energy) else: result += SpecfitFuns.apvoigt(PEAKSW[i],energy) else: PEAKSW[i][:,0] = PEAKS0[i][:,0] * param[self.NGLOBAL+i] * gain PEAKSW[i][:,1] = PEAKS0[i][:,1] * 1.0 PEAKSW[i][:,2] = numpy.sqrt(noise + PEAKS0[i][:,1] * fano) if hypermet: PEAKSW[i] [:,3] = param[PARAMETERS.index('ST AreaR')] PEAKSW[i] [:,4] = param[PARAMETERS.index('ST SlopeR')] PEAKSW[i] [:,5] = param[PARAMETERS.index('LT AreaR')] PEAKSW[i] [:,6] = param[PARAMETERS.index('LT SlopeR')] PEAKSW[i] [:,7] = param[PARAMETERS.index('STEP HeightR')] else: #pseudo voigt PEAKSW[i] [:,3] = param[PARAMETERS.index('Eta Factor')] if not FASTER: if hypermet: if i == 0: result = SpecfitFuns.ahypermet(PEAKSW[i],energy,hypermet) else: result += SpecfitFuns.ahypermet(PEAKSW[i],energy,hypermet) else: if i == 0: result = SpecfitFuns.apvoigt(PEAKSW[i],energy) else: result += SpecfitFuns.apvoigt(PEAKSW[i],energy) #print "shape = ",result.shape #print "matrix = ",matrix.shape matrix[:,i] = result[:,0] return matrix def linearMcaTheory(self, param0, t0, hypermet=None, continuum=None, summing=None): if continuum is None: continuum = self.__CONTINUUM if hypermet is None: hypermet = self.__HYPERMET if summing is None: summing = self.__SUM param= numpy.array(param0) x = numpy.array(t0) zero = param[0] gain = param[1] #the loop in mcatheory is replaced by this single line if len(self.PEAKSW[:]): result = numpy.sum(param[self.NGLOBAL:] * self.linearMatrix, 1) else: result = 0.0 * x if continuum: result += self.continuum(param,x) if summing: xmin=int(x[0]) return result+param[4]*SpecfitFuns.pileup(result, xmin, zero, gain) else: return result def mcatheory(self,param0,t0,hypermet=None,continuum=None,summing=None): if continuum is None: continuum = self.__CONTINUUM if hypermet is None: hypermet = self.__HYPERMET if summing is None: summing = self.__SUM param= numpy.array(param0) x = numpy.array(t0) zero = param[0] gain = param[1] energy=zero + gain * x #print energy noise= param[2] * param[2] fano = param[3] * 2.3548*2.3548*0.00385 #t=time.time() PEAKS0 = self.PEAKS0 PEAKS0ESCAPE = self.PEAKS0ESCAPE PEAKSW = self.PEAKSW PARAMETERS = self.PARAMETERS FASTER = self.FASTER for i in range(len(param[self.NGLOBAL:])): if self.ESCAPE: #area = param[NGLOBAL+i] (r,c) = (PEAKS0[i]).shape PEAKSW[i][0:r,0] = PEAKS0[i][:,0] * param[self.NGLOBAL+i] * gain PEAKSW[i][0:r,1] = PEAKS0[i][:,1] * 1.0 PEAKSW[i][0:r,2] = numpy.sqrt(noise + PEAKS0[i][:,1] * fano) #escape if OLDESCAPE: PEAKSW[i][r:,0] = PEAKSW[i][0:r,0] * PEAKS0[i][:,3] PEAKSW[i][r:,1] = PEAKS0[i][:,1] - self.config['detector']['detene'] PEAKSW[i][r:,2] = numpy.sqrt(noise + \ (PEAKSW[i][r:,1]>0) * PEAKSW[i][r:,1] * fano) else: ii=0 j=0 for esc_group in PEAKS0ESCAPE[i]: for esc_line in esc_group: esc_ene = esc_line[0] * 1.0 esc_rate = esc_line[1] PEAKSW[i][j+r,0] = PEAKSW[i][ii,0] * esc_rate PEAKSW[i][j+r,1] = esc_ene j = j + 1 ii = ii + 1 PEAKSW[i][r:, 2] = numpy.sqrt(noise + \ (PEAKSW[i][r:,1]>0) * PEAKSW[i][r:,1] * fano) (rw,cw) = (PEAKSW[i]).shape if 0 and self.PARAMETERS[self.NGLOBAL+i] =='Fe K': for ii in range(rw): if ii < r: print(self.PARAMETERS[self.NGLOBAL+i],"PEAK ",ii,PEAKSW[i][ii]) else: print(self.PARAMETERS[self.NGLOBAL+i],"PEAKesc ",ii,PEAKSW[i][ii]) #print PARAMETERS[self.NGLOBAL+i] #print PEAKSW[i][:,1] #print PEAKS0ESCAPE[i] #for j in range(PEAKSW[i].shape[0]): # print "H = ", PEAKSW[i][j*r,0],"E = ",PEAKSW[i][j*r,1] #if HYPERMET: if hypermet: PEAKSW[i] [0:r,3] = param[PARAMETERS.index('ST AreaR')] PEAKSW[i] [:,4] = param[PARAMETERS.index('ST SlopeR')] PEAKSW[i] [0:r,5] = param[PARAMETERS.index('LT AreaR')] PEAKSW[i] [:,6] = param[PARAMETERS.index('LT SlopeR')] PEAKSW[i] [0:r,7] = param[PARAMETERS.index('STEP HeightR')] #neglect tails in escape peaks PEAKSW[i] [r:,3] = 0.0 PEAKSW[i] [r:,5] = 0.0 PEAKSW[i] [r:,7] = 0.0 else: PEAKSW[i] [:,3] = param[PARAMETERS.index('Eta Factor')] if not FASTER: print("not FASTER") #if HYPERMET: if hypermet: if i == 0: result = SpecfitFuns.ahypermet(PEAKSW[i],energy,hypermet) else: result += SpecfitFuns.ahypermet(PEAKSW[i],energy,hypermet) else: if i == 0: result = SpecfitFuns.apvoigt(PEAKSW[i],energy) else: result += SpecfitFuns.apvoigt(PEAKSW[i],energy) else: PEAKSW[i][:,0] = PEAKS0[i][:,0] * param[self.NGLOBAL+i] * gain PEAKSW[i][:,1] = PEAKS0[i][:,1] * 1.0 PEAKSW[i][:,2] = numpy.sqrt(noise + PEAKS0[i][:,1] * fano) if hypermet: PEAKSW[i] [:,3] = param[PARAMETERS.index('ST AreaR')] PEAKSW[i] [:,4] = param[PARAMETERS.index('ST SlopeR')] PEAKSW[i] [:,5] = param[PARAMETERS.index('LT AreaR')] PEAKSW[i] [:,6] = param[PARAMETERS.index('LT SlopeR')] PEAKSW[i] [:,7] = param[PARAMETERS.index('STEP HeightR')] else: PEAKSW[i] [:,3] = param[PARAMETERS.index('Eta Factor')] if not FASTER: if hypermet: if i == 0: result = SpecfitFuns.ahypermet(PEAKSW[i],energy,hypermet) else: result += SpecfitFuns.ahypermet(PEAKSW[i],energy,hypermet) else: if i == 0: result = SpecfitFuns.apvoigt(PEAKSW[i],energy) else: result += SpecfitFuns.apvoigt(PEAKSW[i],energy) #print PARAMETERS[self.NGLOBAL+4] #print self.PEAKS0NAMES[4] #print PEAKSW[4] #print "loop takes ",time.time()-t #loop takes 0.006 seconds #t=time.time() if FASTER: if len(PEAKSW[:]): a=numpy.concatenate(PEAKSW[:]) #t=time.time() #result = SpecfitFuns.agauss(a,energy) #if HYPERMET: if hypermet: result = SpecfitFuns.fastahypermet(a,energy,hypermet) else: result = SpecfitFuns.apvoigt(a,energy) else: result = 0.0 * x #print "eval = ",time.time()-t #evaluation takes 0.058 seconds #with less peaks 0.036 #with tabulated function 0.018 if continuum: result += self.continuum(param,x) if summing: if 0: pileup = numpy.arange(3*len(x))*0.0 sumfactor = param[4] xmin=int(x[0]) offset = zero / gain for i in range(len(result)): pileup[i+xmin-offset:i+len(result)+xmin-i-offset] += sumfactor * result[i] *result[0:len(result)-i] return result+pileup[0:len(result)] else: #summing takes 0.0047 seconds xmin=int(x[0]) return result+param[4]*SpecfitFuns.pileup(result, xmin, zero, gain) else: return result def continuum(self,param,x): #CONTINUUM_LIST = [None,'Constant','Linear','Parabolic','Linear Polynomial','Exp. Polynomial'] if self.__CONTINUUM == CONTINUUM_LIST.index('Constant'): return param[self.PARAMETERS.index('Constant')] + 0.0 * x elif self.__CONTINUUM == CONTINUUM_LIST.index('Linear'): return param[self.PARAMETERS.index('Constant')] + \ param[self.PARAMETERS.index('1st Order')] * x elif self.__CONTINUUM == CONTINUUM_LIST.index('Parabolic'): return param[self.PARAMETERS.index('Constant')] + \ param[self.PARAMETERS.index('1st Order')] * x +\ param[self.PARAMETERS.index('2nd Order')] * x * x elif self.__CONTINUUM == CONTINUUM_LIST.index('Linear Polynomial'): energy = param[0] + param[1] * (x - numpy.sum(x)/len(x)) if self.__HYPERMET: return self.linpol(param[(self.PARAMETERS.index('Sum')+1):self.NGLOBAL-5],energy) else: return self.linpol(param[(self.PARAMETERS.index('Sum')+1):self.NGLOBAL-1],energy) elif self.__CONTINUUM == CONTINUUM_LIST.index('Exp. Polynomial'): energy = param[0] + param[1] * (x - numpy.sum(x)/len(x)) if self.__HYPERMET: return self.exppol(param[(self.PARAMETERS.index('Sum')+1):self.NGLOBAL-5],energy) else: return self.exppol(param[(self.PARAMETERS.index('Sum')+1):self.NGLOBAL-1],energy) else: return 0.0 * x def num_deriv(self, param0,index,t0): #numerical derivative x=numpy.array(t0) delta = (param0[index] + numpy.equal(param0[index],0.0)) * 0.00001 newpar = param0.__copy__() newpar[index] = param0[index] + delta f1 = self.mcatheory(newpar, x) newpar[index] = param0[index] - delta f2 = self.mcatheory(newpar, x) return (f1-f2) / (2.0 * delta) def linearMcaTheoryDerivative(self, param0, index, t0): NGLOBAL = self.NGLOBAL if index > NGLOBAL-1: return self.linearMatrix[:, index-NGLOBAL] PARAMETERS = self.PARAMETERS if self.__CONTINUUM and (PARAMETERS[index] == 'Constant'): return numpy.ones(len(t0)).astype(numpy.float) elif self.__CONTINUUM and (PARAMETERS[index] == '1st Order'): return numpy.array(t0).astype(numpy.float) elif self.__CONTINUUM and (PARAMETERS[index] == '2nd Order'): a = numpy.array(t0).astype(numpy.float) return a*a elif (self.__CONTINUUM == CONTINUUM_LIST.index('Linear Polynomial')) and \ (PARAMETERS[index] == ( 'A%d' % (index-PARAMETERS.index('Sum')-1))): param=numpy.array(param0, copy=False) x=numpy.array(t0, copy=False) zero = param[0] gain = param[1] * 1.0 energy=zero + gain * x energy -= numpy.sum(energy)/len(energy) return pow(energy,index-PARAMETERS.index('Sum')-1) elif self.__CONTINUUM == CONTINUUM_LIST.index('Exp. Polynomial') and \ PARAMETERS[index] == ('A%d' % (index-PARAMETERS.index('Sum')-1)): text = "Linear Least-Squares Fit incompatible\n" text += "with Exponential Background" raise ValueError(text) else: #I guess I will not arrive here #numerical derivative #print "index = ",index x=numpy.array(t0) delta = (param0[index] + numpy.equal(param0[index],0.0)) * 0.00001 newpar = param0.__copy__() newpar[index] = param0[index] + delta f1 = self.linearMcaTheory(newpar, x) newpar[index] = param0[index] - delta f2 = self.linearMcaTheory(newpar, x) #print "f1,f2,delta = ",f1,f2,delta return (f1-f2) / (2.0 * delta) def analyticalDerivative(self, param0, index, t0): """ analyticalDerivative(self, parameters, index, x) Internal function to calculate the derivative of the fitting function f(parameters, x) respect to the parameter given by the index at the array of points x. """ NGLOBAL = self.NGLOBAL HYPERMET = self.__HYPERMET PARAMETERS = self.PARAMETERS ESCAPE = self.ESCAPE PEAKS0 = self.PEAKS0 if index > NGLOBAL-1: param=numpy.array(param0) x=numpy.array(t0) zero = param[0] gain = param[1] * 1.0 energy=zero + gain * x #print energy noise= param[2]*param[2] fano = param[3]*2.3548*2.3548*0.00385 i=index-NGLOBAL #for i in range(len(param[index-4]))): if ESCAPE: (r,c) = (PEAKS0[i]).shape if OLDESCAPE: if HYPERMET: dummy = numpy.ones((2*r,3+5*(HYPERMET > 0)), numpy.float) else: dummy = numpy.ones((2*r,3+1), numpy.float) dummy[0:r,0] = PEAKS0[i][:,0] * gain dummy[0:r,1] = PEAKS0[i][:,1] * 1.0 dummy[0:r,2] = numpy.sqrt(noise+ PEAKS0[i][:,1] * fano) dummy[r:,0] = PEAKS0[i][:,0] * gain * PEAKS0[i][:,3] dummy[r:,1] = PEAKS0[i][:,1] - self.config['detector']['detene'] dummy[r:,2] = numpy.sqrt(noise + (dummy[r:,1]>0) * dummy[r:,1] * fano) else: n_escape_lines = self.PEAKSW[i].shape[0] - r #if 1:print "nlines = ",r, "n escape lines =",n_escape_lines if HYPERMET: dummy = numpy.ones((r + n_escape_lines, 3+5*(HYPERMET > 0)), numpy.float) else: dummy = numpy.ones((r + n_escape_lines, 3+1), numpy.float) dummy[0:r,0] = PEAKS0[i][:,0] * gain dummy[0:r,1] = PEAKS0[i][:,1] * 1.0 dummy[0:r,2] = numpy.sqrt(noise+ PEAKS0[i][:,1] * fano) ii=0 j=0 for esc_group in self.PEAKS0ESCAPE[i]: for esc_line in esc_group: esc_ene = esc_line[0] * 1.0 esc_rate = esc_line[1] dummy[j+r, 0] = dummy[ii,0] * esc_rate dummy[j+r, 1] = esc_ene j = j + 1 ii = ii + 1 dummy[r:, 2] = numpy.sqrt(noise + (dummy[r:,1]>0) * dummy[r:,1] * fano) #for jj in range(r+n_escape_lines): # print index, dummy[jj, 1], dummy[jj, 0], dummy[jj, 2] else: (r,c) = (PEAKS0[i]).shape if HYPERMET: dummy = numpy.ones((r,3+5*(HYPERMET > 0)),numpy.float) else: dummy = numpy.ones((r,3+1),numpy.float) dummy[0:r,0] = PEAKS0[i][:,0] * gain dummy[0:r,1] = PEAKS0[i][:,1] * 1.0 dummy[0:r,2] = numpy.sqrt(noise + PEAKS0[i][:,1] * fano) if HYPERMET: dummy[0:r,3] = param[PARAMETERS.index('ST AreaR')] dummy[r:,3] = 0.0 dummy[:,4] = param[PARAMETERS.index('ST SlopeR')] dummy[0:r,5] = param[PARAMETERS.index('LT AreaR')] dummy[r:,5] = 0.0 dummy[:,6] = param[PARAMETERS.index('LT SlopeR')] dummy[0:r,7] = param[PARAMETERS.index('STEP HeightR')] dummy[r:,7] = 0.0 else: dummy[0:,3] = param[PARAMETERS.index('Eta Factor')] if self.FASTER: if HYPERMET: return SpecfitFuns.fastahypermet(dummy,energy,HYPERMET) else: return SpecfitFuns.apvoigt(dummy,energy) else: if HYPERMET: return SpecfitFuns.ahypermet(dummy,energy,HYPERMET) else: return SpecfitFuns.apvoigt(dummy,energy) elif HYPERMET and (PARAMETERS[index] == 'ST AreaR'): param=numpy.array(param0) x=numpy.array(t0) param[index] = 1.0 return self.mcatheory(param,x,hypermet=2,continuum=0) elif HYPERMET and (PARAMETERS[index] == 'LT AreaR'): param=numpy.array(param0) x=numpy.array(t0) param[index] = 1.0 return self.mcatheory(param,x,hypermet=4,continuum=0) elif HYPERMET and (PARAMETERS[index] == 'STEP HeightR'): param=numpy.array(param0) x=numpy.array(t0) param[index] = 1.0 return self.mcatheory(param,x,hypermet=8,continuum=0) elif self.__CONTINUUM and (PARAMETERS[index] == 'Constant'): return numpy.ones(len(t0)) elif self.__CONTINUUM and (PARAMETERS[index] == '1st Order'): return numpy.array(t0) elif self.__CONTINUUM and (PARAMETERS[index] == '2nd Order'): return numpy.array(t0)*numpy.array(t0) elif (self.__CONTINUUM == CONTINUUM_LIST.index('Linear Polynomial')) and \ (PARAMETERS[index] == ( 'A%d' % (index-PARAMETERS.index('Sum')-1))): param=numpy.array(param0) x=numpy.array(t0) zero = param[0] gain = param[1] * 1.0 energy=zero + gain * x energy -= numpy.sum(energy)/len(energy) return pow(energy,index-PARAMETERS.index('Sum')-1) elif self.__CONTINUUM == CONTINUUM_LIST.index('Exp. Polynomial') and \ PARAMETERS[index] == ('A%d' % (index-PARAMETERS.index('Sum')-1)): param=numpy.array(param0) x=numpy.array(t0) zero = param[0] gain = param[1] * 1.0 energy=zero + gain * x energy -= numpy.sum(energy)/len(energy) if HYPERMET: parameters = param[(PARAMETERS.index('Sum')+1):NGLOBAL-5] else: parameters = param[(PARAMETERS.index('Sum')+1):NGLOBAL] return self.exppol_deriv(parameters,index-PARAMETERS.index('Sum')-1,energy) else: #numerical derivative #print "index = ",index x=numpy.array(t0) delta = (param0[index] + numpy.equal(param0[index],0.0)) * 0.00001 newpar = param0.__copy__() newpar[index] = param0[index] + delta f1 = self.mcatheory(newpar, x) newpar[index] = param0[index] - delta f2 = self.mcatheory(newpar, x) #print "f1,f2,delta = ",f1,f2,delta return (f1-f2) / (2.0 * delta) def estimate(self): if self.__toBeConfigured: if DEBUG: print("CONFIGURING FROM ESTIMATION") self.configure(self.__originalConfiguration) self.parameters, self.codes = self.specfitestimate(self.xdata, self.ydata,self.zz) #self.estimatelinpoly(self.xdata, self.ydata,self.zz) #self.estimateexppoly(self.xdata, self.ydata,self.zz) #print self.codes[:,3] def specfitestimate(self,x,y,z,xscaling=1.0,yscaling=1.0): if self.PARAMETERS is None: self.__configure() PARAMETERS = self.PARAMETERS HYPERMET = self.__HYPERMET NGLOBAL = self.NGLOBAL CONTINUUM = self.__CONTINUUM #linear fit flag linearfit = self.config['fit'].get("linearfitflag", 0) newpar=[] #default parameters from config zero = self.config['detector']['zero'] if self.config['detector']['fixedzero'] or linearfit: pass elif abs(zero) < 1.0E-10: #try to avoid a zero derivative because #the initial zero is too small zero = 0.0 gain = self.config['detector']['gain'] sumfactor = self.config['detector']['sum'] newpar.append(zero) newpar.append(gain) newpar.append(self.config['detector']['noise']) newpar.append(self.config['detector']['fano']) newpar.append(sumfactor) ##################### if CONTINUUM == CONTINUUM_LIST.index('Linear Polynomial'): if linearfit: #no need to estimate background backpar = [] for i in range(self.config['fit']['linpolorder']+1): backpar.append(0.0) backcodes=numpy.zeros((3,len(backpar)),numpy.float) else: backpar,backcodes=self.estimatelinpol(self.xdata, self.ydata,self.zz) elif CONTINUUM == CONTINUUM_LIST.index('Exp. Polynomial'): if linearfit: if 1: text = "Linear fit is incompatible with current implementation\n" text += "of the Exponential Polynomial background" raise ValueError(text) else: #no need to estimate background backpar = [] for i in range(self.config['fit']['exppolorder']+1): backpar.append(0.0) backcodes=numpy.zeros((3,len(backpar)),numpy.float) else: backpar,backcodes=self.estimateexppol(self.xdata, self.ydata,self.zz) else: backpar = [] if HYPERMET: for i in range(5,NGLOBAL-5): backpar.append(0.0) else: for i in range(5,NGLOBAL-1): backpar.append(0.0) backcodes=numpy.zeros((3,len(backpar)),numpy.float) if CONTINUUM == 0: backcodes[0,:] = Gefit.CFIXED elif CONTINUUM == CONTINUUM_LIST.index('Constant'): backcodes[0,1] = Gefit.CFIXED for par in backpar: newpar.append(par) #initial areas if HYPERMET: hypermetflag = HYPERMET # g_term = hypermetflag & 1 st_term = (hypermetflag >>1) & 1 lt_term = (hypermetflag >>2) & 1 step_term = (hypermetflag >>3) & 1 st_area = self.config['peakshape']['st_arearatio'] st_slope = self.config['peakshape']['st_sloperatio'] lt_area = self.config['peakshape']['lt_arearatio'] lt_slope = self.config['peakshape']['lt_sloperatio'] step_height = self.config['peakshape']['step_heightratio'] if st_term: newpar.append(st_area) newpar.append(st_slope) else: newpar.append(0.0) newpar.append(st_slope) if lt_term: newpar.append(lt_area) newpar.append(lt_slope) else: newpar.append(0.0) newpar.append(lt_slope) if step_term: newpar.append(step_height) else: newpar.append(0.0) else: eta_factor = self.config['peakshape']['eta_factor'] newpar.append(eta_factor) if not linearfit: for i in range(len(PARAMETERS)-NGLOBAL): newpar.append(10000.0) else: for i in range(len(PARAMETERS)-NGLOBAL): newpar.append(1.0) # the codes codes = numpy.zeros((3,len(newpar)),numpy.float) codes[0,:] = Gefit.CPOSITIVE # POSITIVE codes[0,0:4] = Gefit.CQUOTED # QUOTED if self.__SUM==0: newpar[PARAMETERS.index('Sum')] = 0.0 codes[0,PARAMETERS.index('Sum')] = Gefit.CFIXED else: codes[0,PARAMETERS.index('Sum')] = Gefit.CQUOTED for i in range(len(backpar)): newpar[PARAMETERS.index('Sum')+i+1] = backpar[i] codes [0,PARAMETERS.index('Sum')+i+1]= backcodes[0,i] codes [1,PARAMETERS.index('Sum')+i+1]= backcodes[1,i] codes [2,PARAMETERS.index('Sum')+i+1]= backcodes[2,i] #in case of linear fit all non linear parameters have to be fixed to the initial values if self.config['detector']['fixedzero'] or linearfit :codes[0,PARAMETERS.index('Zero')] = Gefit.CFIXED if self.config['detector']['fixedgain'] or linearfit :codes[0,PARAMETERS.index('Gain')] = Gefit.CFIXED if self.config['detector']['fixednoise']or linearfit :codes[0,PARAMETERS.index('Noise')]= Gefit.CFIXED if self.config['detector']['fixedfano'] or linearfit :codes[0,PARAMETERS.index('Fano')] = Gefit.CFIXED if self.config['detector']['fixedsum'] or linearfit :codes[0,PARAMETERS.index('Sum')] = Gefit.CFIXED codes[1,0] = newpar[0] - self.config['detector']['deltazero'] codes[1,1] = newpar[1] - self.config['detector']['deltagain'] codes[1,2] = newpar[2] - self.config['detector']['deltanoise'] codes[1,3] = newpar[3] - self.config['detector']['deltafano'] codes[1,4] = newpar[4] - self.config['detector']['deltasum'] codes[2,0] = newpar[0] + self.config['detector']['deltazero'] codes[2,1] = newpar[1] + self.config['detector']['deltagain'] codes[2,2] = newpar[2] + self.config['detector']['deltanoise'] codes[2,3] = newpar[3] + self.config['detector']['deltafano'] codes[2,4] = newpar[4] + self.config['detector']['deltasum'] if HYPERMET: i = PARAMETERS.index('ST AreaR') for j in range(5): codes[0,i+j] = Gefit.CFIXED if st_term: i = PARAMETERS.index('ST AreaR') codes[0,i] = Gefit.CQUOTED if self.config['peakshape']['fixedst_arearatio'] or linearfit:codes[0,i] = Gefit.CFIXED codes[1,i] = newpar[i] + self.config['peakshape']['deltast_arearatio'] codes[2,i] = newpar[i] - self.config['peakshape']['deltast_arearatio'] i = PARAMETERS.index('ST SlopeR') codes[0,i] = Gefit.CQUOTED if self.config['peakshape']['fixedst_sloperatio'] or linearfit:codes[0,i] = Gefit.CFIXED codes[1,i] = newpar[i] + self.config['peakshape']['deltast_sloperatio'] codes[2,i] = newpar[i] - self.config['peakshape']['deltast_sloperatio'] if lt_term: i = PARAMETERS.index('LT AreaR') codes[0,i] = Gefit.CQUOTED if self.config['peakshape']['fixedlt_arearatio'] or linearfit:codes[0,i] = Gefit.CFIXED codes[1,i] = newpar[i] + self.config['peakshape']['deltalt_arearatio'] codes[2,i] = newpar[i] - self.config['peakshape']['deltalt_arearatio'] i = PARAMETERS.index('LT SlopeR') codes[0,i] = Gefit.CQUOTED if self.config['peakshape']['fixedlt_sloperatio'] or linearfit:codes[0,i] = Gefit.CFIXED codes[1,i] = newpar[i] + self.config['peakshape']['deltalt_sloperatio'] codes[2,i] = newpar[i] - self.config['peakshape']['deltalt_sloperatio'] if step_term: i = PARAMETERS.index('STEP HeightR') codes[0,i] = Gefit.CQUOTED if self.config['peakshape']['fixedstep_heightratio'] or linearfit:codes[0,i] = Gefit.CFIXED codes[1,i] = newpar[i] + self.config['peakshape']['deltastep_heightratio'] codes[2,i] = newpar[i] - self.config['peakshape']['deltastep_heightratio'] else: i = PARAMETERS.index('Eta Factor') codes[0, i] = Gefit.CQUOTED if self.config['peakshape']['fixedeta_factor'] or linearfit: codes[0,i] = Gefit.CFIXED codes[1,i] = max(newpar[i] + self.config['peakshape']['deltaeta_factor'], 0.0) codes[2,i] = min(newpar[i] - self.config['peakshape']['deltaeta_factor'], 1.0) #""" #firstshot=mcatheory(newpar,x) #a linear fit does not need an initial estimate of the areas noise = pow(self.config['detector']['noise'], 2) fano = self.config['detector']['fano'] * 2.3548*2.3548*0.00385 if not linearfit: for i in range(len(PARAMETERS)-NGLOBAL): rates = self.PEAKS0[i][:, 0] positions = (self.PEAKS0[i][:, 1] - zero)/gain # fwhms = (self.PEAKS0[i][:, 2])/gain i1 = numpy.nonzero((positions >= x[0]) & (positions <= x[-1]))[0] # numpy.take uses by default axis=None # Numeric.take uses by default axis=0 inpeaks = numpy.take(self.PEAKS0[i],i1, axis=0) if len(inpeaks): fmax = max(inpeaks[:,0]) jmax = 0 for j in range(len(inpeaks[:,1])): if fmax < inpeaks[j,0]: fmax = inpeaks[j,0] jmax = j j = jmax position = (inpeaks[j,1] - zero)/gain fwhm = (inpeaks[j,2])/gain n = max(numpy.nonzero(numpy.ravel(x)<=position)[0]) height = numpy.ravel(y - z)[n] #area = ((height * fwhm/2.3548)*sqrt(2*3.14159))/fmax area = ((height * fwhm/2.3548)*numpy.sqrt(2*3.14159)) newpar[i+NGLOBAL] = area elif not self.config['fit']['escapeflag']: #peaks outside fitting region #force zero area newpar[i+NGLOBAL] = 0.0 codes[0,i+NGLOBAL]= Gefit.CFIXED else: #peaks outside fitting region #prior to force them to zero area, let's #check if their escape peaks fall into the #fitting region #print "expected shape = ",self.PEAKSW[i].shape #print "n escape lines = ",self.PEAKSW[i].shape[0] - len(rates) #get the number of escape lines to get a proper buffer n_escape_lines = self.PEAKSW[i].shape[0] - len(rates) peak_buffer = numpy.zeros((n_escape_lines, 3)).astype(numpy.float) ii=0 jj=0 for esc_group in self.PEAKS0ESCAPE[i]: for esc_line in esc_group: esc_ene = esc_line[0] * 1.0 esc_rate = esc_line[1] peak_buffer[jj,0] = self.PEAKS0[i][ii,0] * esc_rate peak_buffer[jj,1] = esc_ene jj = jj + 1 ii = ii + 1 peak_buffer[:, 2] = numpy.sqrt(noise + \ (peak_buffer[:,1]>0) * peak_buffer[:,1] * \ fano) rates = peak_buffer[:,0] positions = (peak_buffer[:,1] - zero)/gain i1 = numpy.nonzero((positions >= x[0]) & (positions <= x[-1]))[0] inpeaks = numpy.take(peak_buffer, i1, axis=0) if len(inpeaks): fmax = max(inpeaks[:,0]) jmax = 0 for j in range(len(inpeaks[:,1])): if fmax < inpeaks[j,0]: fmax = inpeaks[j,0] jmax = j if fmax <= 0: newpar[i+NGLOBAL] = 0.0 codes[0,i+NGLOBAL]= Gefit.CFIXED else: j = jmax position = (inpeaks[j,1] - zero)/gain fwhm = (inpeaks[j,2])/gain n = max(numpy.nonzero(numpy.ravel(x)<=position)[0]) height = numpy.ravel(y - z)[n] #area = ((height * fwhm/2.3548)*sqrt(2*3.14159))/fmax area = ((height * fwhm/2.3548)*numpy.sqrt(2*3.14159)) newpar[i+NGLOBAL] = area/fmax #print PARAMETERS[i+NGLOBAL], "index = ", i + NGLOBAL #print "Starting area = ", area/fmax #print "alternative = ", area else: #none of the escape peaks falls into the fitting region newpar[i+NGLOBAL] = 0.0 codes[0,i+NGLOBAL]= Gefit.CFIXED else: #import time #e0 = time.time() if self.linearMatrix is None: self.__oldLinearFixed = [] for i in range(len(PARAMETERS)-NGLOBAL): positions = (self.PEAKS0[i][:,1] - zero)/gain i1 = numpy.nonzero((positions >= x[0]) & (positions <= x[-1]))[0] inpeaks = numpy.take(self.PEAKS0[i],i1,axis=0) if len(inpeaks): continue elif not self.config['fit']['escapeflag']: #peaks outside fitting region #force zero area newpar[i+NGLOBAL] = 0.0 codes[0,i+NGLOBAL]= Gefit.CFIXED self.__oldLinearFixed.append(i) continue #peaks outside fitting region #prior to force them to zero area, let's #check if their escape peaks fall into the #fitting region #get the number of escape lines to get a proper buffer rates = self.PEAKS0[i][:,0] n_escape_lines = self.PEAKSW[i].shape[0] - len(rates) peak_buffer = numpy.zeros((n_escape_lines, 3)).astype(numpy.float) ii=0 jj=0 for esc_group in self.PEAKS0ESCAPE[i]: for esc_line in esc_group: esc_ene = esc_line[0] * 1.0 esc_rate = esc_line[1] peak_buffer[jj,0] = self.PEAKS0[i][ii,0] * esc_rate peak_buffer[jj,1] = esc_ene jj = jj + 1 ii = ii + 1 peak_buffer[:, 2] = numpy.sqrt(noise + \ (peak_buffer[:,1]>0) * peak_buffer[:,1] * \ fano) rates = peak_buffer[:,0] positions = (peak_buffer[:,1] - zero)/gain i1 = numpy.nonzero((positions >= x[0]) & (positions <= x[-1]))[0] inpeaks = numpy.take(peak_buffer,i1, axis=0) if len(inpeaks): continue else: newpar[i+NGLOBAL] = 0.0 codes[0,i+NGLOBAL]= Gefit.CFIXED self.__oldLinearFixed.append(i) else: for i in self.__oldLinearFixed: newpar[i+NGLOBAL] = 0.0 codes[0,i+NGLOBAL]= Gefit.CFIXED #print "Elapsed = ",time.time() - e0 if self._batchFlag and self.linearMatrix is None: self.linearMatrix = self.getPeakMatrixContribution(newpar) return newpar, codes def startfit(self,digest=0, linear=None, currentIteration=None): if self.__toBeConfigured: self.estimate() if linear is None: linear = self.config['fit'].get("linearfitflag", 0) if linear and self._batchFlag and (self.linearMatrix is not None): fitresult = Gefit.LeastSquaresFit(self.linearMcaTheory, self.parameters, self.datatofit, constrains=self.codes, weightflag=self.config['fit']['fitweight'], maxiter=self.MAXITER, model_deriv=self.linearMcaTheoryDerivative, deltachi=self.config['fit']['deltachi'], fulloutput=1, linear=linear) if self.__SUM: #This is a patch but the alternative is #to forbid linear fits with pile-up. self.parameters = fitresult[0] zero = self.parameters[0] gain = self.parameters[1] xw = self.datatofit[:,0] yfitw = self.mcatheory(fitresult[0], xw,summing=0) pileup= self.parameters[4]*SpecfitFuns.pileup(yfitw,int(xw[0]), zero, gain) self.datatofit[:,1] -= pileup fitresult = Gefit.LeastSquaresFit(self.linearMcaTheory, self.parameters, self.datatofit, constrains=self.codes, weightflag=self.config['fit']['fitweight'], maxiter=self.MAXITER, model_deriv=self.linearMcaTheoryDerivative, deltachi=self.config['fit']['deltachi'], fulloutput=1, linear=linear) else: fitresult = Gefit.LeastSquaresFit(self.mcatheory, self.parameters, self.datatofit, constrains=self.codes, weightflag=self.config['fit']['fitweight'], maxiter=self.MAXITER, model_deriv=self.analyticalDerivative, deltachi=self.config['fit']['deltachi'], fulloutput=1, linear=linear) if self.__SUM and linear: #This is a patch but the alternative is #to forbid linear fits with pile-up. self.parameters = fitresult[0] zero = self.parameters[0] gain = self.parameters[1] xw = self.datatofit[:,0] yfitw = self.mcatheory(fitresult[0], xw,summing=0) pileup= self.parameters[4]*SpecfitFuns.pileup(yfitw,int(xw[0]), zero, gain) self.datatofit[:,1] -= pileup fitresult = Gefit.LeastSquaresFit(self.mcatheory, self.parameters, self.datatofit, constrains=self.codes, weightflag=self.config['fit']['fitweight'], maxiter=self.MAXITER, model_deriv=self.analyticalDerivative, deltachi=self.config['fit']['deltachi'], fulloutput=1, linear=linear) self.fittedpar=fitresult[0] self.chisq =fitresult[1] self.sigmapar =fitresult[2] self.__niter =fitresult[3] self.__lastdeltachi = fitresult[4] callStrategy = False if currentIteration is None: if self.config['fit'].get("strategyflag", False): callStrategy = True self.__originalConfiguration = copy.deepcopy(self.config) elif currentIteration > 0: callStrategy = True self.__toBeConfigured = False if callStrategy: # get the strategy to be applied strategyKey = self.config['fit']["strategy"] if strategyKey not in self.strategyInstances: self.strategyInstances[strategyKey] = STRATEGIES[strategyKey]() strategyInstance = self.strategyInstances[strategyKey] # digestresult takes about 0.1 seconds per iteration import time t0 = time.time() newConfig, iteration = strategyInstance.applyStrategy( \ self.digestresult(), self._fluoRates, currentIteration=currentIteration) #print("Strategy elapsed = ", time.time() - t0) if (iteration >= 0) and (len(newConfig.keys())): print("RECONFIGURING") t0 = time.time() self.configure(newConfig) print("RECONFIGURING elapsed = ", time.time() - t0) self.estimate() if digest: fitresult = self.startfit(digest=digest, linear=linear, currentIteration=iteration)[0] else: fitresult = self.startfit(digest=digest, linear=linear, currentIteration=iteration) self.fittedpar=fitresult[0] self.chisq =fitresult[1] self.sigmapar =fitresult[2] self.__niter =fitresult[3] self.__lastdeltachi = fitresult[4] self.digest = digest if digest: digestedResult = self.digestresult() #self.result=self.digestresult() if currentIteration is None: if callStrategy: # restore old configuration with the new materials self.__originalConfiguration["materials"].update(\ self.config["materials"]) self.__toBeConfigured = True return fitresult, digestedResult else: if currentIteration is None: if callStrategy: # restore old configuration with the new materials self.__originalConfiguration["materials"].update(\ self.config["materials"]) self.__toBeConfigured = True return fitresult def imagingDigestResult(self): """ minimalist dictionnary for imaging purposes """ i = 0 result = {} result['groups'] = [] result["chisq"] = self.chisq n= self.NGLOBAL for group in self.PARAMETERS[n:]: # fitatea = self.fittedpar[n + i] sigmaarea = self.sigmapar[n + i] [ele, group0] = group.split() result['groups'].append(group) result[group] = {} result[group]['peaks'] = self.PEAKS0NAMES[i] if self.__HYPERMET: result[group]['fitarea'] = self.fittedpar[n+i] * \ (1.0 + self.fittedpar[self.PARAMETERS.index('ST AreaR')]) else: result[group]['fitarea'] = self.fittedpar[n+i] result[group]['sigmaarea'] = sigmaarea i += 1 return result def digestresult(self,outfile=None, info=None): param = self.fittedpar xw = numpy.ravel(self.xdata) if self.STRIP: yw = numpy.ravel(self.ydata-self.zz) else: yw = numpy.ravel(self.ydata) #print "delta yw actual data = ",numpy.sum(self.datatofit[:,1] - yw) sy = numpy.ravel(self.sigmay) zzw = numpy.ravel(self.zz) zero = param[0] gain = param[1] energyw=zero + gain * xw #print energy yfitw = self.mcatheory(param,xw,summing=0) pileup= param[4]*SpecfitFuns.pileup(yfitw,int(xw[0]), zero, gain) yfitw += pileup # + numpy.ravel(self.zz) #reduced chi square weightw = 1.0 / (sy + numpy.equal(sy,0)) weightw = weightw * weightw nfree_par = numpy.sum(self.codes[0,:] < 3) prechisq = weightw * (yw - yfitw) *(yw - yfitw)/ (len(yw) - nfree_par) #print "CHISQ = ",numpy.sum(prechisq) n = self.NGLOBAL gain = self.fittedpar[self.PARAMETERS.index('Gain')] result={} result['xdata'] = xw result['energy'] = energyw result['ydata'] = numpy.ravel(self.ydata) if self.STRIP: result['yfit'] = yfitw + zzw else: result['yfit'] = yfitw if self.__CONTINUUM: if self.STRIP: result['continuum']= self.continuum(param,xw) + zzw else: result['continuum']= self.continuum(param,xw) * 1.0 elif self.STRIP: result['continuum']= zzw else: result['continuum']= 0.0 * xw result['pileup'] = pileup result['parameters']= self.PARAMETERS #result['parameters']= self.parameters result['fittedpar'] = self.fittedpar result['chisq'] = self.chisq result['sigmapar'] = self.sigmapar result['config'] = {} result['config'].update(self.config) result['config']['fit']['continuum_name']=CONTINUUM_LIST[self.__CONTINUUM] result['groups'] = [] PEAKSW = copy.deepcopy(self.getpeaksw(self.fittedpar)) """ #EVALUATION: if FASTER: a=numpy.concatenate(PEAKSW[:]) #t=time.time() #result = SpecfitFuns.agauss(a,energy) #if HYPERMET: if hypermet: result = SpecfitFuns.fastahypermet(a,energy,hypermet) else: result = SpecfitFuns.fastagauss(a,energy) """ i = 0 for group in self.PARAMETERS[n:]: fitarea = self.fittedpar[n+i] sigmaarea = self.sigmapar[n+i] [ele, group0] = group.split() result['groups'].append(group) result[group] = {} result[group]['peaks'] = self.PEAKS0NAMES[i] if self.__HYPERMET: result[group]['fitarea'] = self.fittedpar[n+i] * \ (1.0 + self.fittedpar[self.PARAMETERS.index('ST AreaR')]) else: result[group]['fitarea'] = self.fittedpar[n+i] result[group]['sigmaarea'] = sigmaarea result[group]['statistics'] = 0 j = 0 p = PEAKSW[i][:,:] if self.__HYPERMET: contrib = SpecfitFuns.fastahypermet(p, energyw,self.__HYPERMET) else: contrib = SpecfitFuns.apvoigt(p, energyw) result["y" + group] = contrib index = [] for peak in result[group]['peaks']: result[group][peak] = {} result[group][peak]['ratio'] = self.PEAKS0[i][j,0] result[group][peak]['energy'] = PEAKSW[i][j,1] result[group][peak]['fwhm'] = PEAKSW[i][j,2] result[group][peak]['statistics']= 0 #detailed parameters peakpos = result[group][peak]['energy'] sigma = result[group][peak]['fwhm']/2.3548 index0 = numpy.nonzero(((peakpos-3*sigma) 0: result[group][peak]['statistics'] = numpy.take(self.ydata, index0).sum() pseudoArea = numpy.take(contrib, index0).sum() result[group]['statistics'] += result[group][peak]['ratio']*\ abs(result[group][peak]['statistics']-pseudoArea) j += 1 result[group]['escapepeaks'] = [] if self.ESCAPE: if OLDESCAPE: result[group]['escapepeaks'] = self.PEAKS0NAMES[i] j = 0 for peak0 in result[group]['peaks']: (r,c) = (self.PEAKS0[i]).shape peak = peak0+"esc" result[group][peak] = {} result[group][peak]['energy'] = PEAKSW[i][j+r,1] result[group][peak]['fwhm'] = PEAKSW[i][j+r,2] result[group][peak]['ratio'] = self.PEAKS0[i][j,3] chisq = 0.0 if result[group][peak]['ratio'] > 0: peakpos = result[group][peak]['energy'] sigma = result[group][peak]['fwhm']/2.3548 index0 = numpy.nonzero(((peakpos-4*sigma) 0: result[group][peak]['statistics'] = numpy.take(self.ydata, index0).sum() pseudoArea = numpy.take(contrib, index0).sum() result[group]['statistics'] += result[group][peak]['ratio']*\ abs(result[group][peak]['statistics']-pseudoArea) j = j + 1 ii=ii+1 #areaenergies.sort() index.sort() #print "areaenergies",areaenergies[0],areaenergies[-1] #index = numpy.nonzero((energyw>=areaenergies[0]) & (energyw <=areaenergies[-1])) energy = numpy.take(energyw ,index) yfit = numpy.take(yfitw ,index) if 0: #this takes into account summing ... buff = self.PEAKS0[i][:,0] * 1.0 self.PEAKS0[i][:,0] = 0.0 yconw = self.mcatheory(self.fittedpar,xw) self.PEAKS0[i][:,0] = buff * 1.0 ycon = numpy.take(yconw ,index) else: #(r,c) = (self.PEAKS0[i]).shape #p = PEAKSW[i][0:r,:] if 0: p = PEAKSW[i][:,:] if self.__HYPERMET: contrib = SpecfitFuns.fastahypermet(p,energy,self.__HYPERMET) else: contrib = SpecfitFuns.apvoigt(p,energy) else: contrib = numpy.take(contrib ,index) ycon = yfit - contrib y = numpy.take(yw ,index) #pmcaarea = numpy.sum(y-(yfit-contrib)) pmcaarea = numpy.sum(y-ycon) result[group]['mcaarea'] = pmcaarea result[group]['statistics'] = max(pmcaarea, result[group]['fitarea']) +\ result[group]['statistics'] #pmcasigmaarea = numpy.sqrt(numpy.sum(numpy.where(y<0, -y, y))) #result[group]['mcasigmaarea'] = pmcasigmaarea i+=1 result['niter'] = self.__niter * 1 result['lastdeltachi'] = self.__lastdeltachi * 1.0 if outfile is not None: try: os.remove(outfile) except: pass if info is not None: d=ConfigDict.ConfigDict({'result':result, 'info':info}) else: d=ConfigDict.ConfigDict({'result':result}) d.write(outfile) return result def getpeaksw(self,param,hypermet=None,continuum=None): if continuum is None: continuum = self.__CONTINUUM if hypermet is None: hypermet = self.__HYPERMET # zero = param[0] gain = param[1] #energy=zero + gain * x #print energy noise= param[2] * param[2] fano = param[3] * 2.3548*2.3548*0.00385 #t=time.time() PEAKS0 = self.PEAKS0 PEAKS0ESCAPE = self.PEAKS0ESCAPE PEAKSW = self.PEAKSW PARAMETERS = self.PARAMETERS for i in range(len(param[self.NGLOBAL:])): if self.ESCAPE: #area = param[NGLOBAL+i] (r,c) = (PEAKS0[i]).shape PEAKSW[i][0:r,0] = PEAKS0[i][:,0] * param[self.NGLOBAL+i] * gain PEAKSW[i][0:r,1] = PEAKS0[i][:,1] * 1.0 PEAKSW[i][0:r,2] = numpy.sqrt(noise + PEAKS0[i][:,1] * fano) #escape if OLDESCAPE: PEAKSW[i][r:,0] = PEAKSW[i][0:r,0] * PEAKS0[i][:,3] PEAKSW[i][r:,1] = PEAKS0[i][:,1] - self.config['detector']['detene'] PEAKSW[i][r:,2] = numpy.sqrt(noise + (PEAKSW[i][r:,1]>0) * PEAKSW[i][r:,1] * fano) else: ii=0 j=0 for esc_group in PEAKS0ESCAPE[i]: for esc_line in esc_group: esc_ene = esc_line[0] * 1.0 esc_rate = esc_line[1] PEAKSW[i][j+r,0] = PEAKSW[i][ii,0] * esc_rate PEAKSW[i][j+r,1] = esc_ene j = j + 1 ii = ii + 1 PEAKSW[i][r:, 2] = numpy.sqrt(noise + \ (PEAKSW[i][r:,1]>0) * PEAKSW[i][r:,1] * fano) #if HYPERMET: if hypermet: PEAKSW[i] [0:r,3] = param[PARAMETERS.index('ST AreaR')] PEAKSW[i] [:,4] = param[PARAMETERS.index('ST SlopeR')] PEAKSW[i] [0:r,5] = param[PARAMETERS.index('LT AreaR')] PEAKSW[i] [:,6] = param[PARAMETERS.index('LT SlopeR')] PEAKSW[i] [0:r,7] = param[PARAMETERS.index('STEP HeightR')] #neglect tails in escape peaks PEAKSW[i] [r:,3] = 0.0 PEAKSW[i] [r:,5] = 0.0 PEAKSW[i] [r:,7] = 0.0 else: # area = param[self.NGLOBAL + i] PEAKSW[i][:,0] = PEAKS0[i][:,0] * param[self.NGLOBAL+i] * gain PEAKSW[i][:,1] = PEAKS0[i][:,1] * 1.0 PEAKSW[i][:,2] = numpy.sqrt(noise + PEAKS0[i][:,1] * fano) if hypermet: PEAKSW[i] [:,3] = param[PARAMETERS.index('ST AreaR')] PEAKSW[i] [:,4] = param[PARAMETERS.index('ST SlopeR')] PEAKSW[i] [:,5] = param[PARAMETERS.index('LT AreaR')] PEAKSW[i] [:,6] = param[PARAMETERS.index('LT SlopeR')] PEAKSW[i] [:,7] = param[PARAMETERS.index('STEP HeightR')] return PEAKSW # UTILITIES # def roifit(self,x, y, background = None, width=None): if width is None: width = 200. if width > 10 : width = width / 1000. xw = numpy.ravel(numpy.array(x)) if background is not None: yw = numpy.ravel(numpy.array(y) - numpy.array(background)) else: yw = numpy.ravel(y) zero = self.config['detector']['zero'] gain = self.config['detector']['gain'] energy = zero + gain * xw ddict={} for group in self.PARAMETERS[self.NGLOBAL:]: ele,shell = group.split() if ele not in Elements.Element.keys(): continue lines = self.__getlines(ele,shell,width) ddict[group] = {} for line in lines: emin = Elements.Element[ele][line]['energy'] - 0.5 * width emax = Elements.Element[ele][line]['energy'] + 0.5 * width i1 = numpy.nonzero((energy >= emin) & (energy <= emax))[0] ddict[group][line + " ROI"] = numpy.sum(numpy.take(yw,i1)) return ddict def __getlines(self, ele, shell, width, threshold = 0.010): rays = shell + " xrays" ratelines = [] linestotreat = [] if rays not in Elements.Element[ele]['rays']:return {} for transition in Elements.Element[ele][rays]: if Elements.Element[ele][transition]['rate'] > threshold: ratelines.append ([Elements.Element[ele][transition]['rate'], transition]) linestotreat.append(transition) #sort according rate ratelines.sort() ratelines.reverse() lines = [] for rate,transition in ratelines: #print " rate, transition, energy = ",rate, transition, Elements.Element[ele][transition]['energy'] if not len(linestotreat):break if transition in linestotreat: linestotreatcopy = linestotreat * 1 for line in linestotreatcopy: if abs(Elements.Element[ele][line]['energy'] - \ Elements.Element[ele][transition]['energy']) < width: del linestotreat[linestotreat.index(line)] lines.append(transition) return lines def smooth(self,ydata,ntimes=1): f=[0.25,0.5,0.25] result=numpy.array(ydata) if len(result > 1): for i in range(ntimes): result[1:-1]=numpy.convolve(result,f,mode=0) result[0]=0.5*(result[0]+result[1]) result[-1]=0.5*(result[-1]+result[-2]) return result def __getmcaareas(self,param=None): #one should calculate Ka and Kb separately to search for errors!!!! #one should calculate the reduced chis square in that area!!! if param is None: param = self.fittedpar xw = numpy.ravel(self.xdata) yw = numpy.ravel(self.ydata) sy = numpy.ravel(self.sigmay) zero = param[0] gain = param[1] energy=zero + gain * xw #print energy noise= param[2] * param[2] fano = param[3] * 2.3548*2.3548*0.00385 areas=[] chisq=[] yfitw = self.mcatheory(param,xw) + numpy.ravel(self.zz) #reduced chi square weightw = 1.0 / (sy + numpy.equal(sy,0)) weightw = weightw * weightw nfree_par = numpy.sum(self.codes[0,:] < 3) #chisqtotal = (numpy.sum((yw - yfitted) * (yw - yfitted) * weight))/(len(yw) - nfree_par) for i in range(len(self.PARAMETERS[self.NGLOBAL:])): j = 0 for peakpos in self.PEAKS0[i][:,1]: sigma = numpy.sqrt(noise + peakpos * fano)/2.3548 index = numpy.nonzero(((peakpos-3*sigma)0.0)[0] n=len(i1) zero = self.config['detector']['zero'] gain = self.config['detector']['gain'] xmean = numpy.sum(x)/len(x) xw=zero+gain*numpy.resize(numpy.take(x,i1)-xmean,(n,1)) zw=numpy.resize(numpy.log(numpy.take(z,i1)),(n,1)) sw=numpy.ones((n,1)) datatofit = numpy.concatenate((xw, zw, sw),1) p=[] for i in range(self.config['fit']['exppolorder']+1): p.append(0.0) fitresult = Gefit.LeastSquaresFit(self.linpol, p, datatofit, #constrains=self.codes, #weightflag=1, maxiter=40, model_deriv=self.linpol_deriv, #deltachi=self.config['fit']['deltachi'], fulloutput=1) fittedpar=fitresult[0] fittedpar[0] = numpy.exp(fittedpar[0]) return fittedpar,numpy.zeros((3,len(fittedpar)),numpy.float) class ClassMcaTheory(McaTheory): pass """ def agauss(param0,t0): param=resize(ravel(array(param0)),(len(param0),3)) t=array(t0) result=t*0.0 for param in param0: sigma=param[2]/2.3548200450309493 dummy=(t-param[1])/sigma result += 0.3989422804014327*(param[0]/sigma) * myexp(-0.5 * dummy * dummy) return result def myexp(x): # put a (bad) filter to avoid over/underflows # with no python looping return exp(x*less(abs(x),250))-1.0*greater_equal(abs(x),250) def expini(nmax): global EXP EXP = exp(-arange(0,nmax,0.01)) def myexp2(x): i = array(map(int,x * 100)) return take(EXP,i) * (1.0 - (x - 0.01 * i)) """ def test(inputfile=None,scankey=None,pkm=None, continuum=0,stripflag=1,maxiter=10,sumflag=1, hypermetflag=1,plotflag=0,escapeflag=1,attenuatorsflag=1,outfile=None): import sys from PyMca5.PyMca import specfilewrapper as specfile mcafit = McaTheory(initdict=None,maxiter=maxiter,sumflag=sumflag, continuum=continuum,escapeflag=escapeflag,stripflag=stripflag,hypermetflag=hypermetflag, attenuatorsflag=attenuatorsflag) initdict=ConfigDict.ConfigDict() initdict.read(pkm) t0=time.time() config = mcafit.configure(initdict) print("configuration time ",time.time()-t0) xmin = config['fit']['xmin'] xmax = config['fit']['xmax'] if inputfile is None: print("USAGE") print("python -m PyMca5.PyMcaPhysics.xrf.ClassMcaTheory.py -s1.1 --file=filename --cfg=cfgfile [--plotflag=1]") #python ClassMcaTheory.py -s2.1 --file=ch09__mca_0005.mca --pkm=TEST.cfg --continuum=0 --stripflag=1 --sumflag=1 --maxiter=4 sys.exit(0) print("assuming is a specfile ...") sf=specfile.Specfile(inputfile) if scankey is None: scan=sf[0] else: scan=sf.select(scankey) mcadata=scan.mca(1) y0= numpy.array(mcadata) x = numpy.arange(len(y0))*1.0 t0=time.time() mcafit.setData(x,y0,xmin=xmin,xmax=xmax) print("set data time",time.time()-t0) mcafit.estimate() print("estimation time ",time.time()-t0) #fitresult, mcafitresult=mcafit.startfit(digest=1) fitresult = mcafit.startfit(digest=0) mcafitresult = mcafit.digestresult(outfile) print("fit took ",time.time()-t0) fittedpar=fitresult[0] chisq =fitresult[1] sigmapar =fitresult[2] i = 0 print("chisq = ",chisq) for param in mcafit.PARAMETERS: if i < mcafit.NGLOBAL: print(param, ' = ',fittedpar[i],' +/- ',sigmapar[i]) else: print(param, ' = ',fittedpar[i],' +/- ',sigmapar[i]) #,'mcaarea = ',areas[i-mcafit.NGLOBAL] i += 1 i = 0 #mcafit.digestresult() for group in mcafitresult['groups']: print(group,mcafitresult[group]['fitarea'],' +/- ', \ mcafitresult[group]['sigmaarea'],mcafitresult[group]['mcaarea']) #print("##################### ROI fitting ######################") #print(mcafit.roifit(mcafit.xdata,mcafit.ydata)) if plotflag: from PyMca5.PyMcaGui import PyMcaQt as qt from PyMca5.PyMcaGui import ScanWindow app = qt.QApplication(sys.argv) graph = ScanWindow.ScanWindow() xw = numpy.ravel(mcafit.xdata) yfit0 = mcafit.mcatheory(fittedpar,xw)+numpy.ravel(mcafit.zz) xw = xw*fittedpar[1]+fittedpar[0] graph.addCurve(mcafitresult['energy'],mcafitresult['ydata'], "Input Data") graph.addCurve(mcafitresult['energy'],mcafitresult['yfit'],"Fitted Data") graph.addCurve(mcafitresult['energy'], mcafitresult['continuum']+mcafitresult['pileup'], "Summing") graph.addCurve(mcafitresult['energy'],mcafitresult['continuum'],"Continuum") graph.show() app.exec_() PROFILING = 0 if __name__ == "__main__": import time t0=time.time() if PROFILING: import profile import pstats profile.run('test()',"test") p=pstats.Stats("test") p.strip_dirs().sort_stats(-1).print_stats() else: import getopt if 1: #try: options = 'f:s:o' longoptions = ['file=','scan=','pkm=','cfg=', 'output=','continuum=','stripflag=', 'maxiter=','sumflag=','escapeflag=','hypermetflag=','plotflag=', 'attenuatorsflag=','outfile='] opts, args = getopt.getopt( sys.argv[1:], options, longoptions) inputfile = None outfile = None scan = None pkm = None maxiter = 100 sumflag = 0 hypermetflag = 1 plotflag = 0 stripflag = 1 escapeflag= 1 continuum = 0 attenuatorsflag = 1 for opt,arg in opts: if opt in ('-f','--file'): inputfile = arg if opt in ('-s','--scan'): scan = arg if opt in ('--pkm','--cfg'): pkm = arg if opt in ('--continuum'): continuum = int(float(arg)) if opt in ('--strip'): strip = int(float(arg)) if opt in ('--maxiter'): maxiter = int(float(arg)) if opt in ('--sumflag'): sumflag = int(float(arg)) if opt in ('--escapeflag'): escapeflag = int(float(arg)) if opt in ('--stripflag'): stripflag = int(float(arg)) if opt in ('--plotflag'): plotflag = int(float(arg)) if opt in ('--hypermetflag'): hypermetflag = int(float(arg)) if opt in ('--attenuatorsflag'): attenuatorsflag = int(float(arg)) if opt in ('--outfile'): outfile = arg test(inputfile=inputfile,scankey=scan,pkm=pkm, maxiter=maxiter,continuum=continuum,stripflag=stripflag,sumflag=sumflag, hypermetflag=hypermetflag,escapeflag=escapeflag,plotflag=plotflag, attenuatorsflag=attenuatorsflag,outfile=outfile) print("TIME = ",time.time()-t0) PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/Strategies.py0000644000276300001750000000333513136054446021672 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from . import SingleLayerStrategy # for the time being only one strategy STRATEGIES = {"SingleLayerStrategy":SingleLayerStrategy.SingleLayerStrategy} PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/CoherentScattering.py0000644000276300001750000000765013136054446023357 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import numpy from PyMca5.PyMcaIO import ConfigDict from PyMca5 import PyMcaDataDir dirmod = PyMcaDataDir.PYMCA_DATA_DIR ffile = os.path.join(dirmod, "attdata") ffile = os.path.join(ffile, "atomsf.dict") if not os.path.exists(ffile): #freeze does bad things with the path ... dirmod = os.path.dirname(dirmod) ffile = os.path.join(dirmod, "attdata") ffile = os.path.join(ffile, "atomsf.dict") if not os.path.exists(ffile): if dirmod.lower().endswith(".zip"): dirmod = os.path.dirname(dirmod) ffile = os.path.join(dirmod, "attdata") ffile = os.path.join(ffile, "atomsf.dict") if not os.path.exists(ffile): print("Cannot find file ", ffile) raise IOError("Cannot find file %s" % ffile) COEFFICIENTS = ConfigDict.ConfigDict() COEFFICIENTS.read(ffile) KEVTOANG = 12.39852000 R0 = 2.82E-13 #electron radius in cm def getElementFormFactor(ele, theta, energy): """ Usage: getFormFactor(ele,theta, energy): ele - Element theta - Scattering angle or array of scattering angles in degrees energy- Photon Energy in keV This routine calculates the atomic form factor in electron units using a four gaussians approximation """ wavelength = KEVTOANG / energy x = numpy.sin(theta*(numpy.pi/360.0)) / wavelength x = x * x c0= COEFFICIENTS[ele]['c'][0] c = COEFFICIENTS[ele]['c'][1:] b = COEFFICIENTS[ele]['b'] return c0 + (c[0] * numpy.exp(-b[0]*x)) + \ (c[1] * numpy.exp(-b[1]*x)) + \ (c[2] * numpy.exp(-b[2]*x)) + \ (c[3] * numpy.exp(-b[3]*x)) def getElementCoherentDifferentialCrossSection(ele, theta, energy, p1=None): if p1 is None: p1=0.0 if (p1 > 1.0) or (p1 < -1): raise ValueError(\ "Invalid degree of linear polarization respect to the scattering plane") thetasin2 = pow(numpy.sin(theta*numpy.pi/180.0),2) return (1.0+ 0.5 *(p1-1.0) * thetasin2) * \ pow(R0*getElementFormFactor(ele, theta, energy),2) if __name__ == "__main__": import sys if len(sys.argv) > 3: ele = sys.argv[1] theta = float(sys.argv[2]) energy= float(sys.argv[3]) print(getElementFormFactor(ele, theta, energy)) else: print("Usage:") print("python CoherentScattering.py Element Theta(deg) Energy(kev)") PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/IncoherentScattering.py0000644000276300001750000001423413136054446023702 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import numpy from PyMca5.PyMcaIO import ConfigDict from PyMca5 import PyMcaDataDir ElementList= ['H','He','Li','Be','B','C','N','O','F','Ne', 'Na','Mg','Al','Si','P','S','Cl','Ar','K','Ca','Sc','Ti','V','Cr','Mn','Fe','Co','Ni','Cu','Zn', 'Ga','Ge','As','Se','Br','Kr', 'Rb','Sr','Y','Zr','Nb','Mo','Tc','Ru','Rh','Pd','Ag','Cd', 'In','Sn','Sb','Te','I','Xe','Cs','Ba','La','Ce','Pr','Nd', 'Pm','Sm','Eu','Gd','Tb','Dy','Ho','Er','Tm','Yb','Lu','Hf', 'Ta','W','Re','Os','Ir','Pt','Au','Hg','Tl','Pb','Bi','Po','At', 'Rn','Fr','Ra','Ac','Th','Pa','U','Np','Pu','Am','Cm','Bk','Cf', 'Es','Fm','Md','No','Lr','Rf','Db','Sg','Bh','Hs','Mt'] dirmod = PyMcaDataDir.PYMCA_DATA_DIR ffile = os.path.join(dirmod,"attdata") ffile = os.path.join(ffile,"incoh.dict") if not os.path.exists(ffile): #freeze does bad things with the path ... dirmod = os.path.dirname(dirmod) ffile = os.path.join(dirmod, "attdata") ffile = os.path.join(ffile, "incoh.dict") if not os.path.exists(ffile): if dirmod.lower().endswith(".zip"): dirmod = os.path.dirname(dirmod) ffile = os.path.join(dirmod,"attdata") ffile = os.path.join(ffile, "incoh.dict") if not os.path.exists(ffile): print("Cannot find file ", ffile) raise IOError("Cannot find file %s" % ffile) COEFFICIENTS = ConfigDict.ConfigDict() COEFFICIENTS.read(ffile) xvalues = COEFFICIENTS['ISCADT']['XSVAL'] svalues = numpy.reshape(COEFFICIENTS['ISCADT']['SCATF'], (100, len(xvalues))) #svalues = COEFFICIENTS['ISCADT']['SCATF'] #print svalues[100:110] KEVTOANG = 12.39852000 R0 = 2.82E-13 #electron radius in cm def getZ(ele): if ele in ElementList: return float(ElementList.index(ele)+1) else: return None def getElementComptonFormFactor(ele, theta, energy): return getElementIncoherentScatteringFunction(ele, theta, energy) def getComptonScatteringEnergy(energy, theta): return energy/(1.0 + \ (energy/511.) * (1 - numpy.cos(theta*(numpy.pi / 180.0)))) def getElementIncoherentScatteringFunction(ele, theta, energy): """ Usage: getIncoherentScatteringFunction(ele,theta, energy): ele - Element theta - Scattering angle in degrees energy- Photon Energy in keV This routine calculates the incoherent scattering function in electron units an interpolation to EGS4 tabulation of S(x,Z)/Z """ if ele in ElementList: z = getZ(ele) else: z = float(ele) wavelength = KEVTOANG / energy sinhalftheta = numpy.sin(theta * (numpy.pi / 360.0)) #Hubbel just give this term x = sinhalftheta / wavelength #print "x old = ",x e = energy/511.0 #Fajardo uses: x = x * numpy.sqrt(1.0 + e* (e+2.0)* pow(sinhalftheta, 2))/ \ (1.0 + 2.0 * e * pow(sinhalftheta, 2)) #print "x new = ",x ilow = 0 ihigh = 44 i = 22 while (ihigh - ilow) > 1: if x < xvalues[i]:ihigh = i else:ilow =i i = int((ihigh+ilow)/2) if z > 100: if ihigh == ilow: value = svalues[int(99),ilow] else: A = (x - xvalues[ilow])/(xvalues[ihigh]-xvalues[ilow]) value = ((1.0 - A ) * svalues[int(99),ilow] + \ A * svalues[int(99),ihigh]) value = value * (z/100.) else: if ihigh == ilow: value = svalues[int(z-1),ilow] else: A = (x - xvalues[ilow])/(xvalues[ihigh]-xvalues[ilow]) value = ((1.0 - A ) * svalues[int(z-1),ilow] + \ A * svalues[int(z-1),ihigh]) return value def getElementComptonDifferentialCrossSection(ele, theta, energy, p1=None): if p1 is None:p1=0.0 if (p1 > 1.0) or (p1 < -1): raise ValueError(\ "Invalid degree of linear polarization respect to the scattering plane") thetasin2 = pow(numpy.sin(theta * numpy.pi / 180.0), 2) thetacos = numpy.cos(theta * numpy.pi/180.0) e = energy/(1.0 + (energy/511.) * (1.0 - thetacos)) return 0.5 * ((e/energy) + (energy/e) + (p1-1.0) * thetasin2) * \ pow(R0*(e/energy)*getElementIncoherentScatteringFunction(ele, theta, energy),2) getElementIncoherentDifferentialCrossSection=\ getElementComptonDifferentialCrossSection if __name__ == "__main__": import sys if len(sys.argv) > 3: ele = sys.argv[1] theta = float(sys.argv[2]) energy= float(sys.argv[3]) print(getElementComptonFormFactor(ele, theta, energy)) else: print("Usage:") print("python IncoherentScatteringFunction.py Element Theta(deg) Energy(kev)") PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/XRFMC/0000755000276300001750000000000013205526235020056 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/XRFMC/XRFMCHelper.py0000644000276300001750000003656613136054446022472 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import tempfile import subprocess import time import shutil from PyMca5.PyMcaIO import ConfigDict from . import XMSOParser getXMSOFileFluorescenceInformation =\ XMSOParser.getXMSOFileFluorescenceInformation XMIMSIM_PYMCA = None if sys.platform == "win32": try: # try to get the installation directory from the registry if sys.version < '3.0': import _winreg as winreg else: import winreg HKLM = winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE) try: # 32 bit softwareKey = winreg.OpenKey(winreg.HKEY_LOCAL_MACHINE, "Software\XMI-MSIM") except: try: # 64 bit softwareKey = winreg.OpenKey(winreg.HKEY_LOCAL_MACHINE, "Software\Wow6432Node\XMI-MSIM") except: # XMI-MSIM not installed ... softwareKey = None if softwareKey is not None: subKeyName = "InstallationDirectory" value = winreg.QueryValueEx(softwareKey, subKeyName) pathToExecutable = os.path.join(value[0], "bin", "xmimsim-pymca.exe") if not os.path.exists(pathToExecutable): pathToExecutable = None XMIMSIM_PYMCA = pathToExecutable except: # this cannot afford failing pass else: try: testDirectories = ["/Applications", "/usr/local/bin", "/usr/bin", os.getcwd()] #look in the user PATH path = os.getenv('PATH') if path is not None: testDirectories += path.split(":") scriptName = "xmimsim-pymca" if sys.platform == "darwin": scriptName = os.path.join("XMI-MSIM.app", "Contents", "Resources", scriptName) for dirName in testDirectories: pathToExecutable = os.path.join(dirName, scriptName) if not os.path.exists(pathToExecutable): pathToExecutable = None else: break XMIMSIM_PYMCA = pathToExecutable except: # this cannot afford failing pass def getScriptFile(pathToExecutable=None, args=None, name=None): if pathToExecutable is None: pathToExecutable = XMIMSIM_PYMCA if pathToExecutable is None: raise ValueError("Path to xmimsim-pymca needed") if not os.path.exists(pathToExecutable): raise IOError("xmimsim-pymca executable does not exist") if args is None: args = [] executable = os.path.basename(pathToExecutable) if not executable.startswith("xmimsim-pymca"): if sys.platform == "win32": raise ValueError("Path to xmimsim-pymca.exe needed") else: raise ValueError("Path to xmimsim-pymca needed") xmimsim_directory = os.path.dirname(pathToExecutable) if os.path.basename(xmimsim_directory).lower() == "bin": xmimsim_directory = os.path.dirname(xmimsim_directory) if sys.platform == "win32": binDir = os.path.join(xmimsim_directory, "bin") libDir = os.path.join(xmimsim_directory, "lib") gtk2Dir = os.path.join(xmimsim_directory, "GTK2") path = os.getenv("PATH") txt = "echo off\n" txt += "set PATH=%s;%s;%s;%s\n" % (binDir, libDir, gtk2Dir, os.getenv("PATH")) txt += "%s " % executable if len(args): for arg in args: txt += arg + " "; txt += "\n" else: txt += "%*" if name is None: handle, fullPath = tempfile.mkstemp(suffix=".bat", prefix="pymca", text=False) os.write(handle, txt) os.close(handle) else: fullPath = name if not fullPath.endswith(".bat"): fullPath = name + ".bat" if sys.version < '3.0': f = open(fullPath, "wb") else: f = open(fullPath, "w", newline='') f.write(txt) f.close() elif sys.platform == "darwin": #the bundle has everything needed txt = "#!/bin/bash\n" #this line is critical in order to avoid interference by the bundled PyMca txt += 'DYLD_LIBRARY_PATH=""\n' txt += "%s " % pathToExecutable if len(args): for arg in args: txt += arg + " "; txt += "\n" else: txt += "$*" if name is None: handle, fullPath = tempfile.mkstemp(suffix=".sh", prefix="pymca", text=False) os.write(handle, txt) os.close(handle) else: fullPath = name if not fullPath.endswith(".sh"): fullPath = name + ".sh" f = open(fullPath, "wb") f.write(txt) f.close() os.system("chmod +x %s" % fullPath) else: binDir = xmimsim_directory libDir = os.path.join(xmimsim_directory, "lib") path = os.getenv("PATH") txt = "#!/bin/bash\n" txt += "export PATH=%s:%s:%s\n" % (binDir, libDir, os.getenv("PATH")) txt += "%s " % executable if len(args): for arg in args: txt += arg + " "; txt += "\n" else: txt += "$*" if name is None: handle, fullPath = tempfile.mkstemp(suffix=".sh", prefix="pymca", text=False) os.write(handle, txt) os.close(handle) else: fullPath = name if not fullPath.endswith(".sh"): fullPath = name + ".sh" f = open(fullPath, "wb") f.write(txt) f.close() os.system("chmod +x %s" % fullPath) return fullPath def getOutputFileNames(fitFile, outputDir=None): if outputDir is None: outputDir = os.path.dirname(fitFile) ddict = {} newFile = os.path.join(outputDir, os.path.basename(fitFile)) if newFile.lower().endswith(".fit"): rootName = newFile[:-4] elif newFile.lower().endswith(".cfg"): rootName = newFile[:-4] else: rootName = newFile scriptName = rootName + "_script" csvName = rootName + ".csv" speName = rootName + ".spe" xmsoName = rootName + ".xmso" if sys.platform == 'win32': scriptName = scriptName + ".bat" fitName = rootName + ".fit" ddict={} ddict['fit'] = rootName + ".fit" ddict['script'] = scriptName ddict['csv'] = csvName ddict['spe'] = speName ddict['xmso'] = xmsoName return ddict def getXRFMCCorrectionFactors(fitConfiguration, xmimsim_pymca=None, verbose=False): outputDir=tempfile.mkdtemp(prefix="pymcaTmp") if 'result' in fitConfiguration: # we have to create a .fit file with the information ddict = ConfigDict.ConfigDict() ddict.update(fitConfiguration) else: # for the time being we have to build a "fit-like" file with the information import numpy from PyMca5.PyMca import ClassMcaTheory fitConfiguration['fit']['linearfitflag']=1 fitConfiguration['fit']['stripflag']=0 fitConfiguration['fit']['stripiterations']=0 xmin = fitConfiguration['fit']['xmin'] xmax = fitConfiguration['fit']['xmax'] #xdata = numpy.arange(xmin, xmax + 1) * 1.0 xdata = numpy.arange(0, xmax + 1) * 1.0 ydata = 0.0 + 0.1 * xdata mcaFit = ClassMcaTheory.McaTheory() mcaFit.configure(fitConfiguration) #a dummy time dummyTime = 1.0 if "concentrations" in fitConfiguration: dummyTime = fitConfiguration["concentrations"].get("time", dummyTime) mcaFit.setData(x=xdata, y=ydata, xmin=xmin, xmax=xmax, time=dummyTime) mcaFit.estimate() fitresult, result = mcaFit.startfit(digest=1) ddict=ConfigDict.ConfigDict() ddict['result'] = result ddict['xrfmc'] = fitConfiguration['xrfmc'] handle, fitFile = tempfile.mkstemp(suffix=".fit", prefix="pymca", dir=outputDir, text=False) os.close(handle) ddict.write(fitFile) ddict = None # we have the input file ready fileNamesDict = getOutputFileNames(fitFile, outputDir) scriptFile = getScriptFile(pathToExecutable=xmimsim_pymca, name=fileNamesDict['script']) xmsoName = fileNamesDict['xmso'] # basic parameters args = [scriptFile, "--enable-single-run", #"--set-threads=2", #"--verbose", #"--spe-file=%s" % speName, #"--csv-file=%s" % csvName, #"--enable-roi-normalization", #"--disable-roi-normalization", #default #"--enable-pile-up" #"--disable-pile-up" #default #"--enable-poisson", #"--disable-poisson", #default no noise #"--set-threads=2", #overwrite default maximum fitFile, xmsoName] if verbose: args.insert(2, "--verbose") process = subprocess.Popen(args, bufsize=0, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True) while process.poll() is None: # process did not finish yet time.sleep(0.1) line = process.stdout.readline() if verbose: if len(line) > 1: print("OUTPUT = <%s>" % line[:-1]) returnCode = process.returncode line = process.stdout.readline() while len(line) > 1: if verbose: print("OUTPUT = %s" % line[:-1]) line = process.stdout.readline() if returnCode: text = "" line = process.stderr.readline() while len(line) > 1: text += line if verbose: print("ERROR = %s" % line[:-1]) line = process.stderr.readline() removeDirectory(outputDir) raise IOError("Program terminated with error code %d:\n%s" % (returnCode, text)) corrections = getXMSOFileFluorescenceInformation(xmsoName) xmsoName = None removeDirectory(outputDir) return corrections def removeDirectory(dirName): if os.path.exists(dirName): if os.path.isdir(dirName): shutil.rmtree(dirName) def start(fitFile, outputDir, xmimsim_pymca, parameters=None, verbose=True): args = XRFMCHelper.getBasicSubprocessCommand(fitFile, outputDir, xmimsim_pymca) if parameters is None: parameters = ["--enable-single-run", "--set-threads=2"] i = 0 for parameter in parameters: i += 1 args.insert(1, parameter) process = subprocess.Popen(args, bufsize=0, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True) while process.poll() is None: # process did not finish yet time.sleep(0.1) line = process.stdout.readline() if verbose: if len(line) > 1: print("OUTPUT = <%s>" % line[:-1]) returnCode = process.returncode line = process.stdout.readline() while len(line) > 1: if verbose: print("OUTPUT = %s" % line[:-1]) line = process.stdout.readline() if returnCode: text = "" line = process.stderr.readline() while len(line) > 1: text += line if verbose: print("ERROR = %s" % line[:-1]) line = process.stderr.readline() raise IOError("Program terminated with error code %d:\n%s" % (returnCode, text)) def getBasicSubprocessCommand(fitFile, outputDir=None, xmimsim_pymca=None): ddict = getOutputFileNames(fitFile, outputDir) scriptFile = getScriptFile(pathToExecutable=xmimsim_pymca, name=ddict['script']) if ddict['fit'] != fitFile: if outputDir is None: # this should never happen raise ValueError("Inconsistent internal behaviour!") # recreate input in output directory new = ConfigDict.ConfigDict() new.read(fitFile) if os.path.exists(ddict['fit']): os.remove(ddict['fit']) new.write(ddict['fit']) new = None speName = ddict['spe'] csvName = ddict['csv'] newFitFile = ddict['fit'] xmsoName = ddict['xmsoName'] args = [scriptFile, #"--enable-single-run", "--verbose", "--spe-file=%s" % speName, "--csv-file=%s" % csvName, #"--enable-roi-normalization", #"--disable-roi-normalization", #default #"--enable-pile-up" #"--disable-pile-up" #default #"--enable-poisson", #"--disable-poisson", #default no noise #"--set-threads=2", #overwrite default maximum newFitFile, xmsoName] return args def test(filename): fitConfig = ConfigDict.ConfigDict() fitConfig.read(filename) ddict = getXRFMCCorrectionFactors(fitConfig, verbose=True) fitConfig = None for element in ddict: for line in ddict[element]: if line == "z": #atomic number continue if line in ['K', 'Ka', 'Kb', 'L', 'L1', 'L2', 'L3', 'M']: correction1 = ddict[element][line]['correction_factor'][1] correctionn = ddict[element][line]['correction_factor'][-1] print("Element %s Line %s Correction 2 = %f Correction n = %f" %\ (element, line,correction1, correctionn)) if __name__ == "__main__": if len(sys.argv) > 1: test(sys.argv[1]) else: print("Usage:") print("python XRFMCHelper.py path_to_cfg_or_fit_file") PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/XRFMC/XMSOParser.py0000644000276300001750000001344113136054446022401 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os import xml.etree.ElementTree as ElementTree DEBUG = 0 def getXMSOFileFluorescenceInformation(xmsoFile): f = ElementTree.parse(xmsoFile) ddict = {} root = f.getroot() transitions = ['K', 'Ka', 'Kb', 'L', 'L1', 'L2', 'L3', 'M'] for i in root.iter('fluorescence_line_counts'): if DEBUG: print(i.attrib) for key in ['symbol', 'total_counts']: print(key, '= ', i.get(key)) element = i.get('symbol') ddict[element] = {} #ddict[element]['z'] = i.get('atomic_number') for key in transitions: ddict[element][key] = { 'total':0.0, 'counts': [], 'correction_factor':[]} for a in i.iter('fluorescence_line'): if DEBUG: print(a.attrib) for key in ['type', 'total_counts']: print(key, '= ', a.get(key)) line = a.get('type') ddict[element][line] = {} #ddict[element][line]['total'] = float(a.get('total_counts')) ddict[element][line]['counts'] = [] ddict[element][line]['total']=0 transitionsAffected = [] for key in transitions: if line.startswith(key): transitionsAffected.append(key) elif line.startswith('KL') and (key == 'Ka'): transitionsAffected.append(key) elif line.startswith('K') and (key == 'Kb'): if not line.startswith('KL'): transitionsAffected.append(key) cumulator = 0 for b in a.iter('counts'): if DEBUG: print(b.attrib) value = float(b.text) ddict[element][line]['counts'].append(value) cumulator += value ddict[element][line]['total'] = cumulator single = ddict[element][line]['counts'][0] multiple = 0.0 ddict[element][line]['correction_factor'] = [] excitationCounter = 0 for value in ddict[element][line]['counts']: multiple += value ddict[element][line]['correction_factor'].append(\ multiple/single) for key in transitionsAffected: nValues = len(ddict[element][line]['counts']) while(len(ddict[element][key]['counts']) < nValues): ddict[element][key]['counts'].append(0.0) ddict[element][key]['counts'][excitationCounter] += value excitationCounter += 1 ddict[element][key]['correction_factor'] = [] for key in transitions: multiple = 0.0 if len(ddict[element][key]['counts']) == 0: nValues = len(ddict[element][line]['counts']) ddict[element][key]['counts'] = [0.0] * nValues ddict[element][key]['correction_factor'] = [1.0] * nValues else: single = ddict[element][key]['counts'][0] for value in ddict[element][key]['counts']: multiple += value ddict[element][key]['correction_factor'].append(\ multiple/single) ddict[element][key]['total'] = multiple return ddict def test(xmsoFile='t.xmso'): ddict = getXMSOFileFluorescenceInformation(xmsoFile) for element in ddict: for line in ddict[element]: if line == "z": #atomic number continue if 1 or DEBUG or line in ['K', 'Ka', 'Kb', 'L', 'L1', 'L2', 'L3', 'M']: correction1 = ddict[element][line]['correction_factor'][1] correctionn = ddict[element][line]['correction_factor'][-1] print("Element %s Line %s Correction 2 = %f Correction n = %f" %\ (element, line,correction1, correctionn)) if __name__ == "__main__": if len(sys.argv) < 2: if os.path.exists('t.xmso'): test() else: print("Usage:") print("python XMSOParser.py xmso_file") sys.exit(0) else: test(sys.argv[1]) PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/XRFMC/__init__.py0000644000276300001750000000000013136054446022160 0ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/FisxHelper.py0000644000276300001750000010527413173367502021637 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import sys import time from fisx import DataDir from fisx import Elements as FisxElements from fisx import Material from fisx import Detector from fisx import XRF xcom = None DEBUG = 0 def getElementsInstance(dataDir=None, bindingEnergies=None, xcomFile=None): if dataDir is None: dataDir = DataDir.FISX_DATA_DIR try: from PyMca5.PyMcaDataDir import PYMCA_DATA_DIR as pymcaDataDir from PyMca5 import getDataFile except: print("Using fisx shell constants and ratios") pymcaDataDir = None if bindingEnergies is None: if pymcaDataDir is None: bindingEnergies = os.path.join(dataDir, "BindingEnergies.dat") else: bindingEnergies = getDataFile("BindingEnergies.dat") if xcomFile is None: if pymcaDataDir is None: xcomFile = os.path.join(dataDir, "XCOM_CrossSections.dat") else: xcomFile = getDataFile("XCOM_CrossSections.dat") if DEBUG: t0 = time.time() instance = FisxElements(dataDir, bindingEnergies, xcomFile) if DEBUG: print("Shell constants") # the files should be taken from PyMca to make sure the same data are used for key in ["K", "L", "M"]: fname = instance.getShellConstantsFile(key) if sys.version > '3.0': # we have to make sure we have got a string if hasattr(fname, "decode"): fname = fname.decode("latin-1") if DEBUG: print("Before %s" % fname) if pymcaDataDir is not None: fname = getDataFile(key + "ShellConstants.dat") else: fname = os.path.join(os.path.dirname(fname), key + "ShellConstants.dat") instance.setShellConstantsFile(key, fname) if DEBUG: print("After %s" % instance.getShellConstantsFile(key)) if DEBUG: print("Radiative transitions") for key in ["K", "L", "M"]: fname = instance.getShellRadiativeTransitionsFile(key) if sys.version > '3.0': # we have to make sure we have got a string ... if hasattr(fname, "decode"): fname = fname.decode("latin-1") if DEBUG: print("Before %s" % fname) if pymcaDataDir is not None: fname = getDataFile(key + "ShellRates.dat") else: fname = os.path.join(os.path.dirname(fname), key + "ShellRates.dat") instance.setShellRadiativeTransitionsFile(key, fname) if DEBUG: print("After %s " % instance.getShellRadiativeTransitionsFile(key)) if DEBUG: print("Reading Elapsed = ", time.time() - t0) return instance def getMultilayerFluorescence(multilayerSample, energyList, layerList = None, weightList=None, flagList = None, fulloutput = None, beamFilters = None, elementsList = None, attenuatorList = None, alphaIn = None, alphaOut = None, cascade = None, detector= None, elementsFromMatrix=False, secondary=None, materials=None, secondaryCalculationLimit=None): if secondary is None: secondary=0 if secondaryCalculationLimit is None: secondaryCalculationLimit=0.0 if DEBUG: print("Library actually using secondary = ", secondary) print("Library using secondary limit = ", secondaryCalculationLimit) global xcom if xcom is None: if DEBUG: print("Getting fisx elements instance") xcom = getElementsInstance() if materials is not None: if DEBUG: print("Deleting materials") xcom.removeMaterials() for material in materials: if DEBUG: print("Adding material making sure no duplicates") xcom.addMaterial(material, errorOnReplace=1) # the instance if DEBUG: print("creating XRF instance") xrf = XRF() # the beam energies if not len(energyList): raise ValueError("Empty list of beam energies!!!") if DEBUG: print("setting beam") xrf.setBeam(energyList, weights=weightList, characteristic=flagList) # the beam filters (if any) if beamFilters is None: beamFilters = [] """ Due to wrapping constraints, the filter list must have the form: [[Material name or formula0, density0, thickness0, funny factor0], [Material name or formula1, density1, thickness1, funny factor1], ... [Material name or formulan, densityn, thicknessn, funny factorn]] Unless you know what you are doing, the funny factors must be 1.0 """ if DEBUG: print("setting beamFilters") xrf.setBeamFilters(beamFilters) # the sample description """ Due to wrapping constraints, the list must have the form: [[Material name or formula0, density0, thickness0, funny factor0], [Material name or formula1, density1, thickness1, funny factor1], ... [Material name or formulan, densityn, thicknessn, funny factorn]] Unless you know what you are doing, the funny factors must be 1.0 """ if DEBUG: print("setting sample") xrf.setSample(multilayerSample) # the attenuators if attenuatorList is not None: if len(attenuatorList) > 0: if DEBUG: print("setting attenuators") xrf.setAttenuators(attenuatorList) # the geometry if DEBUG: print("setting Geometry") if alphaIn is None: alphaIn = 45 if alphaOut is None: alphaOut = 45 xrf.setGeometry(alphaIn, alphaOut) # the detector if DEBUG: print("setting Detector") if detector is not None: # Detector can be a list as [material, density, thickness] # or a Detector instance if isinstance(detector, Detector): detectorInstance = detector elif len(detector) == 3: detectorInstance = Detector(detector[0], density=detector[1], thickness=detector[2]) else: detectorInstance = Detector(detector[0], density=detector[1], thickness=detector[2], funny=detector[3]) else: detectorInstance = Detector("") xrf.setDetector(detectorInstance) if detectorInstance.getActiveArea() > 0.0: useGeometricEfficiency = 1 else: useGeometricEfficiency = 0 if elementsList in [None, []]: raise ValueError("Element list not specified") if len(elementsList): if len(elementsList[0]) == 3: # PyMca can send [atomic number, element, peak] actualElementsList = [x[1] + " " + x[2] for x in elementsList] elif len(elementsList[0]) == 2: actualElementsList = [x[0] + " " + x[1] for x in elementsList] else: actualElementsList = elementsList matrixElementsList = [] for peak in actualElementsList: ele = peak.split()[0] considerIt = False for layer in multilayerSample: composition = xcom.getComposition(layer[0]) if ele in composition: considerIt = True if considerIt: if peak not in matrixElementsList: matrixElementsList.append(peak) if elementsFromMatrix: elementsList = matrixElementsList # enabling the cascade cache gets a (miserable) 15 % speed up if DEBUG: print("Using cascade cache") t0 = time.time() treatedElements = [] emittedLines = [] for layer in multilayerSample: composition = xcom.getComposition(layer[0]) for element in composition.keys(): xcom.setElementCascadeCacheEnabled(element, 1) if hasattr(xcom, "updateCache"): if element not in treatedElements: lines = xcom.getEmittedXRayLines(element) sampleEnergies = [lines[key] for key in lines] for e in sampleEnergies: if e not in emittedLines: emittedLines.append(e) treatedElements.append(element) if hasattr(xcom, "updateCache"): if DEBUG: print("Filling atenuation cache") composition = detectorInstance.getComposition(xcom) for element in composition.keys(): xcom.setElementCascadeCacheEnabled(element, 1) if element not in treatedElements: lines = xcom.getEmittedXRayLines(element) sampleEnergies = [lines[key] for key in lines] for e in sampleEnergies: if e not in emittedLines: emittedLines.append(e) treatedElements.append(element) for element in actualElementsList: if element.split()[0] not in treatedElements: treatedElements.append(element.split()[0]) for element in treatedElements: # this limit seems overestimated but still reasonable if xcom.getCacheSize(element) > 5000: print("Clearing cache") xcom.clearCache(element) xcom.updateCache(element, energyList) xcom.updateCache(element, emittedLines) xcom.setCacheEnabled(element, 1) if DEBUG: print("Element %s cache size = %d" % (element, xcom.getCacheSize(element))) for element in actualElementsList: xcom.setElementCascadeCacheEnabled(element.split()[0], 1) if hasattr(xcom, "updateEscapeCache") and \ hasattr(xcom, "setEscapeCacheEnabled"): if detector is not None: for element in actualElementsList: lines = xcom.getEmittedXRayLines(element.split()[0]) lines_energy = [lines[key] for key in lines] for e in lines_energy: if e not in emittedLines: emittedLines.append(e) xcom.setEscapeCacheEnabled(1) xcom.updateEscapeCache(detectorInstance.getComposition(xcom), emittedLines, energyThreshold=detectorInstance.getEscapePeakEnergyThreshold(), \ intensityThreshold=detectorInstance.getEscapePeakIntensityThreshold(), \ nThreshold=detectorInstance.getEscapePeakNThreshold(), \ alphaIn=detectorInstance.getEscapePeakAlphaIn(), thickness=0) # No escape by the back considered yet else: if DEBUG: print("NOT CALLING UPDATE CACHE") if DEBUG: print("C++ elapsed filling cache = ", time.time() - t0) if DEBUG: print("Calling getMultilayerFluorescence") t0 = time.time() expectedFluorescence = xrf.getMultilayerFluorescence(actualElementsList, xcom, secondary=secondary, useGeometricEfficiency=useGeometricEfficiency, useMassFractions=elementsFromMatrix, secondaryCalculationLimit=secondaryCalculationLimit) if DEBUG: print("C++ elapsed TWO = ", time.time() - t0) if not elementsFromMatrix: # If one element was present in one layer and not on others, PyMca only # calculated contributions from the layers in which the element was # present for peakFamily in matrixElementsList: element, family = peakFamily.split()[0:2] key = element + " " + family if key in expectedFluorescence: # those layers where the amount of the material was 0 have # to present no contribution for iLayer in range(len(expectedFluorescence[key])): layerMaterial = multilayerSample[iLayer][0] if element not in xcom.getComposition(layerMaterial): expectedFluorescence[key][iLayer] = {} return expectedFluorescence def _getFisxMaterials(fitConfiguration): """ Given a PyMca fir configuration, return the list of fisx materials to be used by the library for calculation purposes. """ global xcom if xcom is None: xcom = getElementsInstance() # define all the needed materials inputMaterialDict = fitConfiguration.get("materials", {}) inputMaterialList = list(inputMaterialDict.keys()) nMaterials = len(inputMaterialList) fisxMaterials = [] processedMaterialList = [] nIter = 10000 while (len(processedMaterialList) != nMaterials) and (nIter > 0): nIter -= 1 for i in range(nMaterials): materialName = inputMaterialList[i] if materialName in processedMaterialList: # already defined pass else: thickness = inputMaterialDict[materialName].get("Thickness", 1.0) density = inputMaterialDict[materialName].get("Density", 1.0) comment = inputMaterialDict[materialName].get("Comment", "") if type(comment) in [type([])]: # the user may have put a comma in the comment leading to # misinterpretation of the string as a list if len(comment) == 0: comment = "" elif len(comment) == 1: comment = comment[0] else: actualComment = comment[0] for commentPiece in comment[1:]: actualComment = actualComment + "," + commentPiece comment = actualComment if not len(comment): comment = "" compoundList = inputMaterialDict[materialName]["CompoundList"] fractionList = inputMaterialDict[materialName]["CompoundFraction"] if not hasattr(fractionList, "__getitem__"): compoundList = [compoundList] fractionList = [fractionList] composition = {} for n in range(len(compoundList)): if fractionList[n] > 0.0: composition[compoundList[n]] = fractionList[n] else: print("ignoring ", compoundList[n], "fraction = ", fractionList[n]) # check the composition is expressed in terms of elements # and not in terms of other undefined materials totallyDefined = True for element in composition: #check if it can be understood if element in processedMaterialList: # already defined continue elif not len(xcom.getComposition(element)): # compound not understood # probably we have a material defined in terms of other material totallyDefined = False if totallyDefined: try: fisxMaterial = Material(materialName, density=density, thickness=thickness, comment=comment) fisxMaterial.setComposition(composition) fisxMaterials.append(fisxMaterial) except: if len(materialName): raise TypeError("Error defining material <%s>" % \ materialName) processedMaterialList.append(materialName) if len(processedMaterialList) < nMaterials: txt = "Undefined materials. " for material in inputMaterialList: if material not in processedMaterialList: txt += "\nCannot define material <%s>\nComposition " % material compoundList = inputMaterialDict[material]["CompoundList"] fractionList = inputMaterialDict[material]["CompoundFraction"] for compound in compoundList: if not len(xcom.getComposition(compound)): if compound not in processedMaterialList: if compound + " " in processedMaterialList: txt += "contains <%s> (defined as <%s>), " % (compound, compound + " ") else: txt += "contains <%s> (undefined)," % compound print(txt) raise KeyError(txt) return fisxMaterials def _getBeam(fitConfiguration): inputEnergy = fitConfiguration['fit'].get('energy', None) if inputEnergy in [None, ""]: raise ValueError("Beam energy has to be specified") if not hasattr(inputEnergy, "__len__"): energyList = [inputEnergy] weightList = [1.0] characteristicList = [1] else: energyList = [] weightList = [] characteristicList = [] for i in range(len(inputEnergy)): if fitConfiguration['fit']['energyflag'][i]: energy = fitConfiguration['fit']['energy'][i] if energy is not None: if fitConfiguration['fit']['energyflag'][i]: weight = fitConfiguration['fit']['energyweight'][i] if weight > 0.0: energyList.append(energy) weightList.append(weight) if 'energyscatter' in fitConfiguration['fit']: characteristicList.append(fitConfiguration['fit'] \ ['energyscatter'][i]) elif i == 0: characteristicList.append(1) else: characteristicList.append(0) return energyList, weightList, characteristicList def _getFiltersMatrixAttenuatorsDetectorGeometry(fitConfiguration): useMatrix = False attenuatorList =[] filterList = [] detector = None for attenuator in list(fitConfiguration['attenuators'].keys()): if not fitConfiguration['attenuators'][attenuator][0]: # set to be ignored continue #if len(fitConfiguration['attenuators'][attenuator]) == 4: # fitConfiguration['attenuators'][attenuator].append(1.0) if attenuator.upper() == "MATRIX": if fitConfiguration['attenuators'][attenuator][0]: useMatrix = True matrix = fitConfiguration['attenuators'][attenuator][1:4] alphaIn= fitConfiguration['attenuators'][attenuator][4] alphaOut= fitConfiguration['attenuators'][attenuator][5] else: useMatrix = False elif attenuator.upper() == "DETECTOR": detector = fitConfiguration['attenuators'][attenuator][1:5] elif attenuator.upper().startswith("BEAMFILTER"): filterList.append(fitConfiguration['attenuators'][attenuator][1:5]) else: attenuatorList.append(fitConfiguration['attenuators'][attenuator][1:5]) if not useMatrix: raise ValueError("Sample matrix has to be specified!") if matrix[0].upper() == "MULTILAYER": multilayerSample = [] layerKeys = list(fitConfiguration['multilayer'].keys()) if len(layerKeys): layerKeys.sort() for layer in layerKeys: if fitConfiguration['multilayer'][layer][0]: multilayerSample.append(fitConfiguration['multilayer'][layer][1:]) else: multilayerSample = [matrix] return filterList, multilayerSample, attenuatorList, detector, \ alphaIn, alphaOut def _getPeakList(fitConfiguration): elementsList = [] for element in fitConfiguration['peaks'].keys(): if len(element) > 1: ele = element[0:1].upper() + element[1:2].lower() else: ele = element.upper() if type(fitConfiguration['peaks'][element]) == type([]): for peak in fitConfiguration['peaks'][element]: elementsList.append(ele + " " + peak) else: for peak in [fitConfiguration['peaks'][element]]: elementsList.append(ele + " " + peak) elementsList.sort() return elementsList def _getFisxDetector(fitConfiguration, attenuatorsDetector=None): distance = fitConfiguration["concentrations"]["distance"] area = fitConfiguration["concentrations"]["area"] detectorMaterial = fitConfiguration["detector"]["detele"] if attenuatorsDetector is None: # user is not interested on accounting for detection efficiency if fitConfiguration["fit"]["escapeflag"]: # but wants to account for escape peaks # we can forget about efficiency but not about detector composition # assign "infinite" efficiency density = 0.0 thickness = 0.0 fisxDetector = Detector(detectorMaterial, density=density, thickness=thickness) else: # user is not interested on considering the escape peaks fisxDetector = None else: # make sure information is consistent if attenuatorsDetector[0] not in [detectorMaterial, detectorMaterial+"1"]: print("%s not equal to %s" % (attenuatorsDetector[0], detectorMaterial)) msg = "Inconsistent detector material between DETECTOR and ATTENUATORS tab" msg += "\n%s not equal to %s" % (attenuatorsDetector[0], detectorMaterial) raise ValueError(msg) if len(attenuatorsDetector) == 3: fisxDetector = Detector(detectorMaterial, density=attenuatorsDetector[1], thickness=attenuatorsDetector[2]) else: fisxDetector = Detector(detectorMaterial, density=attenuatorsDetector[1], thickness=attenuatorsDetector[2], funny=attenuatorsDetector[3]) fisxDetector.setActiveArea(area) fisxDetector.setDistance(distance) if fisxDetector is not None: nThreshold = fitConfiguration["detector"]["nthreshold"] fisxDetector.setMaximumNumberOfEscapePeaks(nThreshold) return fisxDetector def _getSecondaryCalculationLimitFromFitConfiguration(fitConfiguration): try: limit = float(\ fitConfiguration["concentrations"]["secondarycalculationlimit"]) except: if DEBUG: print("Exception. Forcing no limit") limit = 0.0 return limit def getMultilayerFluorescenceFromFitConfiguration(fitConfiguration, elementsFromMatrix=False, secondaryCalculationLimit=None): return _fisxFromFitConfigurationAction(fitConfiguration, action="fluorescence", elementsFromMatrix=elementsFromMatrix, secondaryCalculationLimit= \ secondaryCalculationLimit) def getFisxCorrectionFactorsFromFitConfiguration(fitConfiguration, elementsFromMatrix=False, secondaryCalculationLimit=None): return _fisxFromFitConfigurationAction(fitConfiguration, action="correction", elementsFromMatrix=elementsFromMatrix, secondaryCalculationLimit= \ secondaryCalculationLimit) def _fisxFromFitConfigurationAction(fitConfiguration, action=None, elementsFromMatrix=False, \ secondaryCalculationLimit=None): if action is None: raise ValueError("Please specify action") if secondaryCalculationLimit is None: secondaryCalculationLimit = \ _getSecondaryCalculationLimitFromFitConfiguration(fitConfiguration) # This is highly inefficient because one has to perform all the parsing # that has been already made when configuring the fit. However, this is # currently the simplest implementation that can work as standalone given # the fit configuration # the fisx materials list fisxMaterials = _getFisxMaterials(fitConfiguration) # extract beam parameters energyList, weightList, characteristicList = _getBeam(fitConfiguration) # extract beamFilters, matrix, geometry, attenuators and detector filterList, multilayerSample, attenuatorList, detector, alphaIn, alphaOut \ = _getFiltersMatrixAttenuatorsDetectorGeometry(fitConfiguration) # The elements and families to be considered elementsList = _getPeakList(fitConfiguration) # The detection setup detectorInstance = _getFisxDetector(fitConfiguration, detector) try: secondary = fitConfiguration["concentrations"]["usemultilayersecondary"] except: print("Exception. Forcing tertiary") secondary = 2 if action.upper() == "FLUORESCENCE": return getMultilayerFluorescence(multilayerSample, energyList, weightList = weightList, flagList = characteristicList, fulloutput = None, beamFilters = filterList, elementsList = elementsList, attenuatorList = attenuatorList, alphaIn = alphaIn, alphaOut = alphaOut, cascade = None, detector = detectorInstance, elementsFromMatrix=elementsFromMatrix, secondary=secondary, materials=fisxMaterials, secondaryCalculationLimit= \ secondaryCalculationLimit) else: if secondary == 0: # otherways it is meaning less to call the function secondary = 2 return getFisxCorrectionFactors(multilayerSample, energyList, weightList = weightList, flagList = characteristicList, fulloutput = None, beamFilters = filterList, elementsList = elementsList, attenuatorList = attenuatorList, alphaIn = alphaIn, alphaOut = alphaOut, cascade = None, detector = detectorInstance, elementsFromMatrix=elementsFromMatrix, secondary=secondary, materials=fisxMaterials, secondaryCalculationLimit= \ secondaryCalculationLimit) def getFisxCorrectionFactors(*var, **kw): expectedFluorescence = getMultilayerFluorescence(*var, **kw) ddict = {} transitions = ['K', 'Ka', 'Kb', 'L', 'L1', 'L2', 'L3', 'M'] if kw["secondary"] == 2: nItems = 3 else: nItems = 2 for key in expectedFluorescence: element, family = key.split() if element not in ddict: ddict[element] = {} if family not in transitions: raise KeyError("Invalid transition family: %s" % family) if family not in ddict[element]: ddict[element][family] = {'total':0.0, 'correction_factor':[1.0] * nItems, 'counts':[0.0] * nItems} for iLayer in range(len(expectedFluorescence[key])): layerOutput = expectedFluorescence[key][iLayer] layerKey = "layer %d" % iLayer if layerKey not in ddict[element][family]: ddict[element][family][layerKey] = {'total':0.0, 'correction_factor':[1.0] * nItems, 'counts':[0.0] * nItems} for line in layerOutput: rate = layerOutput[line]["rate"] primary = layerOutput[line]["primary"] secondary = layerOutput[line]["secondary"] tertiary = layerOutput[line].get("tertiary", 0.0) if rate <= 0.0: continue # primary counts tmpDouble = rate * (primary / (primary + secondary + tertiary)) ddict[element][family]["counts"][0] += tmpDouble secondaryCounts = rate * \ ((primary + secondary)/ (primary + secondary + tertiary)) ddict[element][family]["counts"][1] += secondaryCounts if nItems == 3: ddict[element][family]["counts"][2] += rate ddict[element][family]["total"] += rate #layer by layer information ddict[element][family][layerKey]["counts"][0] += tmpDouble ddict[element][family][layerKey]["counts"][1] += secondaryCounts if nItems == 3: ddict[element][family][layerKey]["counts"][2] += rate ddict[element][family][layerKey]["total"] += rate for element in ddict: for family in ddict[element]: # second order includes tertiary!!! firstOrder = ddict[element][family]["counts"][0] secondOrder = ddict[element][family]["counts"][1] ddict[element][family]["correction_factor"][1] = \ secondOrder / firstOrder if nItems == 3: thirdOrder = ddict[element][family]["counts"][2] ddict[element][family]["correction_factor"][2] = \ thirdOrder / firstOrder i = 0 layerKey = "layer %d" % i while layerKey in ddict[element][family]: firstOrder = ddict[element][family][layerKey]["counts"][0] secondOrder = ddict[element][family][layerKey]["counts"][1] if firstOrder <= 0: if secondOrder > 0.0: print("Inconsistency? secondary with no primary?") ddict[element][family][layerKey]["correction_factor"][1] = 1 if nItems == 3: ddict[element][family][layerKey]["correction_factor"][2] = 1 else: ddict[element][family][layerKey]["correction_factor"][1] =\ secondOrder / firstOrder if nItems == 3: ddict[element][family][layerKey]["correction_factor"][2] =\ thirdOrder / firstOrder i += 1 layerKey = "layer %d" % i return ddict def getFisxCorrectionFactorsFromFitConfigurationFile(fileName, elementsFromMatrix=False, secondaryCalculationLimit=None): from PyMca5.PyMca import ConfigDict d = ConfigDict.ConfigDict() d.read(fileName) return getFisxCorrectionFactorsFromFitConfiguration(d, elementsFromMatrix=elementsFromMatrix, secondaryCalculationLimit= \ secondaryCalculationLimit) if __name__ == "__main__": DEBUG = 1 import time import sys if len(sys.argv) < 2: print("Usage: python FisxHelper FitConfigurationFile [element] [matrix_flag]") sys.exit(0) fileName = sys.argv[1] if len(sys.argv) > 2: element = sys.argv[2] if len(sys.argv) > 3: matrix = int(sys.argv[3]) print(getFisxCorrectionFactorsFromFitConfigurationFile(\ fileName, elementsFromMatrix=matrix))[element] else: print(getFisxCorrectionFactorsFromFitConfigurationFile(fileName)) \ [element] else: print(getFisxCorrectionFactorsFromFitConfigurationFile(fileName)) PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/Scofield1973.py0000644000276300001750000000340013136054446021625 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os from PyMca5.PyMcaIO import ConfigDict from PyMca5 import getDataFile dict = ConfigDict.ConfigDict() dictfile = getDataFile("Scofield1973.dict") dict.read(dictfile) PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/FastXRFLinearFit.py0000644000276300001750000010614513136054446022636 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """ Module to perform a fast linear fit on a stack of fluorescence spectra. """ import os import numpy from PyMca5.PyMcaMath.linalg import lstsq from . import ClassMcaTheory from PyMca5.PyMcaMath.fitting import Gefit from . import ConcentrationsTool from PyMca5.PyMcaMath.fitting import SpecfitFuns from PyMca5.PyMcaIO import ConfigDict import time DEBUG = 0 class FastXRFLinearFit(object): def __init__(self, mcafit=None): self._config = None if mcafit is None: self._mcaTheory = ClassMcaTheory.McaTheory() else: self._mcaTheory = mcafit def setFitConfiguration(self, configuration): self._mcaTheory.setConfiguration(configuration) def setFitConfigurationFile(self, ffile): if not os.path.exists(ffile): raise IOError("File <%s> does not exists" % ffile) configuration = ConfigDict.ConfigDict() configuration.read(ffile) self.setFitConfiguration(configuration) def fitMultipleSpectra(self, x=None, y=None, xmin=None, xmax=None, configuration=None, concentrations=False, ysum=None, weight=None, refit=True): """ This method performs the actual fit. The y keyword is the only mandatory input argument. :param x: 1D array containing the x axis (usually the channels) of the spectra. :param y: 3D array containing the spectra as [nrows, ncolumns, nchannels] :param xmin: lower limit of the fitting region :param xmax: upper limit of the fitting region :param weight: 0 Means no weight, 1 Use an average weight, 2 Individual weights (slow) :param concentrations: 0 Means no calculation, 1 Calculate them :param refit: if False, no check for negative results. Default is True. :return: A dictionnary with the parameters, uncertainties, concentrations and names as keys. """ if y is None: raise RuntimeError("y keyword argument is mandatory!") #if concentrations: # txt = "Fast concentration calculation not implemented yet" # raise NotImplemented(txt) if DEBUG: t0 = time.time() if configuration is not None: self._mcaTheory.setConfiguration(configuration) # read the current configuration config = self._mcaTheory.getConfiguration() # background if config['fit']['stripflag']: if config['fit']['stripalgorithm'] == 1: if DEBUG: print("SNIP") else: raise RuntimeError("Please use the faster SNIP background") toReconfigure = False if weight is None: # dictated by the file weight = config['fit']['fitweight'] if weight: # individual pixel weights (slow) weightPolicy = 2 else: # No weight weightPolicy = 0 elif weight == 1: # use average weight from the sum spectrum weightPolicy = 1 if not config['fit']['fitweight']: config['fit']['fitweight'] = 1 toReconfigure = True elif weight == 2: # individual pixel weights (slow) weightPolicy = 2 if not config['fit']['fitweight']: config['fit']['fitweight'] = 1 toReconfigure = True weight = 1 else: # No weight weightPolicy = 0 if config['fit']['fitweight']: config['fit']['fitweight'] = 0 toReconfigure = True weight = 0 if not config['fit']['linearfitflag']: #make sure we force a linear fit config['fit']['linearfitflag'] = 1 toReconfigure = True if toReconfigure: # we must configure again the fit self._mcaTheory.setConfiguration(config) if hasattr(y, "info") and hasattr(y, "data"): data = y.data mcaIndex = y.info.get("McaIndex", -1) else: data = y mcaIndex = -1 if len(data.shape) != 3: txt = "For the time being only three dimensional arrays supported" raise IndexError(txt) elif mcaIndex not in [-1, 2]: txt = "For the time being only mca arrays supported" raise IndexError(txt) else: # if the cumulated spectrum is present it should be better nRows = data.shape[0] nColumns = data.shape[1] nPixels = nRows * nColumns if ysum is not None: firstSpectrum = ysum elif weightPolicy == 1: # we need to calculate the sum spectrum to derive the uncertainties totalSpectra = data.shape[0] * data.shape[1] jStep = min(5000, data.shape[1]) ysum = numpy.zeros((data.shape[mcaIndex],), numpy.float) for i in range(0, data.shape[0]): if i == 0: chunk = numpy.zeros((data.shape[0], jStep), numpy.float) jStart = 0 while jStart < data.shape[1]: jEnd = min(jStart + jStep, data.shape[1]) ysum += data[i, jStart:jEnd, :].sum(axis=0, dtype=numpy.float) jStart = jEnd firstSpectrum = ysum elif not concentrations: # just one spectrum is enough for the setup firstSpectrum = data[0, 0, :] else: firstSpectrum = data[0, :, :].sum(axis=0, dtype=numpy.float) # make sure we calculate the matrix of the contributions self._mcaTheory.enableOptimizedLinearFit() # initialize the fit # print("xmin = ", xmin) # print("xmax = ", xmax) # print("firstShape = ", firstSpectrum.shape) self._mcaTheory.setData(x=x, y=firstSpectrum, xmin=xmin, xmax=xmax) # and initialize the derivatives self._mcaTheory.estimate() # now we can get the derivatives respect to the free parameters # These are the "derivatives" respect to the peaks # linearMatrix = self._mcaTheory.linearMatrix # but we are still missing the derivatives from the background nFree = 0 freeNames = [] nFreeBackgroundParameters = 0 for i, param in enumerate(self._mcaTheory.PARAMETERS): if self._mcaTheory.codes[0][i] != ClassMcaTheory.Gefit.CFIXED: nFree += 1 freeNames.append(param) if i < self._mcaTheory.NGLOBAL: nFreeBackgroundParameters += 1 #build the matrix of derivatives derivatives = None idx = 0 for i, param in enumerate(self._mcaTheory.PARAMETERS): if self._mcaTheory.codes[0][i] == ClassMcaTheory.Gefit.CFIXED: continue deriv= self._mcaTheory.linearMcaTheoryDerivative(self._mcaTheory.parameters, i, self._mcaTheory.xdata) deriv.shape = -1 if derivatives is None: derivatives = numpy.zeros((deriv.shape[0], nFree), numpy.float) derivatives[:, idx] = deriv idx += 1 #loop for anchors xdata = self._mcaTheory.xdata if config['fit']['stripflag']: anchorslist = [] if config['fit']['stripanchorsflag']: if config['fit']['stripanchorslist'] is not None: ravelled = numpy.ravel(xdata) for channel in config['fit']['stripanchorslist']: if channel <= ravelled[0]:continue index = numpy.nonzero(ravelled >= channel)[0] if len(index): index = min(index) if index > 0: anchorslist.append(index) if len(anchorslist) == 0: anchorlist = [0, self._mcaTheory.ydata.size - 1] anchorslist.sort() # find the indices to be used for selecting the appropriate data # if the original x data were not ordered we have a problem # TODO: check for original ordering. if x is None: # we have an enumerated channels axis iXMin = xdata[0] iXMax = xdata[-1] else: iXMin = numpy.nonzero(x <= xdata[0])[0][-1] iXMax = numpy.nonzero(x >= xdata[-1])[0][0] # numpy 1.11.0 returns an array on previous expression # and then complains about a future deprecation warning # because of using an arry and not an scalar in the selection if hasattr(iXMin, "shape"): if len(iXMin.shape): iXMin = iXMin[0] if hasattr(iXMax, "shape"): if len(iXMax.shape): iXMax = iXMax[0] dummySpectrum = firstSpectrum[iXMin:iXMax+1].reshape(-1, 1) # print("dummy = ", dummySpectrum.shape) # allocate the output buffer results = numpy.zeros((nFree, nRows, nColumns), numpy.float32) uncertainties = numpy.zeros((nFree, nRows, nColumns), numpy.float32) #perform the initial fit if DEBUG: print("Configuration elapsed = %f" % (time.time() - t0)) t0 = time.time() totalSpectra = data.shape[0] * data.shape[1] jStep = min(100, data.shape[1]) if weightPolicy == 2: SVD = False sigma_b = None elif weightPolicy == 1: # the +1 is to prevent misbehavior due to weights less than 1.0 sigma_b = 1 + numpy.sqrt(dummySpectrum)/nPixels SVD = True else: SVD = True sigma_b = None last_svd = None for i in range(0, data.shape[0]): #print(i) #chunks of nColumns spectra if i == 0: chunk = numpy.zeros((dummySpectrum.shape[0], jStep), numpy.float) jStart = 0 while jStart < data.shape[1]: jEnd = min(jStart + jStep, data.shape[1]) chunk[:,:(jEnd - jStart)] = data[i, jStart:jEnd, iXMin:iXMax+1].T if config['fit']['stripflag']: for k in range(jStep): # obtain the smoothed spectrum background=SpecfitFuns.SavitskyGolay(chunk[:, k], config['fit']['stripfilterwidth']) lastAnchor = 0 for anchor in anchorslist: if (anchor > lastAnchor) and (anchor < background.size): background[lastAnchor:anchor] =\ SpecfitFuns.snip1d(background[lastAnchor:anchor], config['fit']['snipwidth'], 0) lastAnchor = anchor if lastAnchor < background.size: background[lastAnchor:] =\ SpecfitFuns.snip1d(background[lastAnchor:], config['fit']['snipwidth'], 0) chunk[:, k] -= background # perform the multiple fit to all the spectra in the chunk #print("SHAPES") #print(derivatives.shape) #print(chunk[:,:(jEnd - jStart)].shape) ddict=lstsq(derivatives, chunk[:,:(jEnd - jStart)], sigma_b=sigma_b, weight=weight, digested_output=True, svd=SVD, last_svd=last_svd) last_svd = ddict.get('svd', None) parameters = ddict['parameters'] results[:, i, jStart:jEnd] = parameters uncertainties[:, i, jStart:jEnd] = ddict['uncertainties'] jStart = jEnd if DEBUG: t = time.time() - t0 print("First fit elapsed = %f" % t) print("Spectra per second = %f" % (data.shape[0]*data.shape[1]/float(t))) t0 = time.time() # cleanup zeros # start with the parameter with the largest amount of negative values if refit: negativePresent = True else: negativePresent = False nFits = 0 while negativePresent: zeroList = [] #totalNegative = 0 for i in range(nFree): #we have to skip the background parameters if i >= nFreeBackgroundParameters: t = results[i] < 0 tsum = t.sum() if tsum > 0: zeroList.append((tsum, i, t)) #totalNegative += tsum #print("totalNegative = ", totalNegative) if len(zeroList) == 0: negativePresent = False continue if nFits > (2 * (nFree - nFreeBackgroundParameters)): # we are probably in an endless loop # force negative pixels for item in zeroList: i = item[1] badMask = item[2] results[i][badMask] = 0.0 print("WARNING: %d pixels of parameter %s forced to zero" % (item[0], freeNames[i])) continue zeroList.sort() zeroList.reverse() badParameters = [] badParameters.append(zeroList[0][1]) badMask = zeroList[0][2] if 1: # prevent and endless loop if two or more parameters have common pixels where they are # negative and one of them remains negative when forcing other one to zero for i, item in enumerate(zeroList): if item[1] not in badParameters: if item[0] > 0: #check if they have common negative pixels t = badMask * item[-1] if t.sum() > 0: badParameters.append(item[1]) badMask = t if badMask.sum() < (0.0025 * nPixels): # fit not worth for i in badParameters: results[i][badMask] = 0.0 uncertainties[i][badMask] = 0.0 if DEBUG: print("WARNING: %d pixels of parameter %s set to zero" % (badMask.sum(), freeNames[i])) else: if DEBUG: print("Number of secondary fits = %d" % (nFits + 1)) nFits += 1 A = derivatives[:, [i for i in range(nFree) if i not in badParameters]] #assume we'll not have too many spectra if data.dtype not in [numpy.float32, numpy.float64]: data if data.dtype not in [numpy.float32, numpy.float64]: if data.itemsize < 5: data_dtype = numpy.float32 else: data_dtype = numpy.floa64 else: data_dtype = data.dtype try: if data.dtype != data_dtype: spectra = numpy.zeros((int(badMask.sum()), 1 + iXMax - iXMin), data_dtype) spectra[:] = data[badMask, iXMin:iXMax+1] else: spectra = data[badMask, iXMin:iXMax+1] spectra.shape = badMask.sum(), -1 except TypeError: # in case of dynamic arrays, two dimensional indices are not # supported by h5py spectra = numpy.zeros((int(badMask.sum()), 1 + iXMax - iXMin), data_dtype) selectedIndices = numpy.nonzero(badMask > 0) tmpData = numpy.zeros((1, 1 + iXMax - iXMin), data_dtype) oldDataRow = -1 j = 0 for i in range(len(selectedIndices[0])): j = selectedIndices[0][i] if j != oldDataRow: tmpData = data[j] olddataRow = j spectra[i] = tmpData[selectedIndices[1][i], iXMin:iXMax+1] spectra = spectra.T # if config['fit']['stripflag']: for k in range(spectra.shape[1]): # obtain the smoothed spectrum background=SpecfitFuns.SavitskyGolay(spectra[:, k], config['fit']['stripfilterwidth']) lastAnchor = 0 for anchor in anchorslist: if (anchor > lastAnchor) and (anchor < background.size): background[lastAnchor:anchor] =\ SpecfitFuns.snip1d(background[lastAnchor:anchor], config['fit']['snipwidth'], 0) lastAnchor = anchor if lastAnchor < background.size: background[lastAnchor:] =\ SpecfitFuns.snip1d(background[lastAnchor:], config['fit']['snipwidth'], 0) spectra[:, k] -= background ddict = lstsq(A, spectra, sigma_b=sigma_b, weight=weight, digested_output=True, svd=SVD) idx = 0 for i in range(nFree): if i in badParameters: results[i][badMask] = 0.0 uncertainties[i][badMask] = 0.0 else: results[i][badMask] = ddict['parameters'][idx] uncertainties[i][badMask] = ddict['uncertainties'][idx] idx += 1 if DEBUG and refit: t = time.time() - t0 print("Fit of negative peaks elapsed = %f" % t) t0 = time.time() outputDict = {'parameters':results, 'uncertainties':uncertainties, 'names':freeNames} if concentrations: # check if an internal reference is used and if it is set to auto #################################################### # CONCENTRATIONS cTool = ConcentrationsTool.ConcentrationsTool() cToolConf = cTool.configure() cToolConf.update(config['concentrations']) fitFirstSpectrum = False if config['concentrations']['usematrix']: if DEBUG: print("USING MATRIX") if config['concentrations']['reference'].upper() == "AUTO": fitFirstSpectrum = True fitresult = {} if fitFirstSpectrum: # we have to fit the "reference" spectrum just to get the reference element mcafitresult = self._mcaTheory.startfit(digest=0, linear=True) # if one of the elements has zero area this cannot be made directly fitresult['result'] = self._mcaTheory.imagingDigestResult() fitresult['result']['config'] = config concentrationsResult, addInfo = cTool.processFitResult(config=cToolConf, fitresult=fitresult, elementsfrommatrix=False, fluorates=self._mcaTheory._fluoRates, addinfo=True) # and we have to make sure that all the areas are positive for group in fitresult['result']['groups']: if fitresult['result'][group]['fitarea'] <= 0.0: # give a tiny area fitresult['result'][group]['fitarea'] = 1.0e-6 config['concentrations']['reference'] = addInfo['ReferenceElement'] else: fitresult['result'] = {} fitresult['result']['config'] = config fitresult['result']['groups'] = [] idx = 0 for i, param in enumerate(self._mcaTheory.PARAMETERS): if self._mcaTheory.codes[0][i] == Gefit.CFIXED: continue if i < self._mcaTheory.NGLOBAL: # background pass else: fitresult['result']['groups'].append(param) fitresult['result'][param] = {} # we are just interested on the factor to be applied to the area to get the # concentrations fitresult['result'][param]['fitarea'] = 1.0 fitresult['result'][param]['sigmaarea'] = 1.0 idx += 1 concentrationsResult, addInfo = cTool.processFitResult(config=cToolConf, fitresult=fitresult, elementsfrommatrix=False, fluorates=self._mcaTheory._fluoRates, addinfo=True) nValues = 1 if len(concentrationsResult['layerlist']) > 1: nValues += len(concentrationsResult['layerlist']) nElements = len(list(concentrationsResult['mass fraction'].keys())) massFractions = numpy.zeros((nValues * nElements, nRows, nColumns), numpy.float32) referenceElement = addInfo['ReferenceElement'] referenceTransitions = addInfo['ReferenceTransitions'] if DEBUG: print("Reference <%s> transition <%s>" % (referenceElement, referenceTransitions)) if referenceElement in ["", None, "None"]: if DEBUG: print("No reference") counter = 0 for i, group in enumerate(fitresult['result']['groups']): if group.lower().startswith("scatter"): if DEBUG: print("skept %s" % group) continue outputDict['names'].append("C(%s)" % group) massFractions[counter] = results[nFreeBackgroundParameters+i] *\ (concentrationsResult['mass fraction'][group]/fitresult['result'][group]['fitarea']) counter += 1 if len(concentrationsResult['layerlist']) > 1: for layer in concentrationsResult['layerlist']: outputDict['names'].append("C(%s)-%s" % (group, layer)) massFractions[counter] = results[nFreeBackgroundParameters+i] *\ (concentrationsResult[layer]['mass fraction'][group]/fitresult['result'][group]['fitarea']) counter += 1 else: if DEBUG: print("With reference") idx = None testGroup = referenceElement+ " " + referenceTransitions.split()[0] for i, group in enumerate(fitresult['result']['groups']): if group == testGroup: idx = i if idx is None: raise ValueError("Invalid reference: <%s> <%s>" %\ (referenceElement, referenceTransitions)) group = fitresult['result']['groups'][idx] referenceArea = fitresult['result'][group]['fitarea'] referenceConcentrations = concentrationsResult['mass fraction'][group] goodIdx = results[nFreeBackgroundParameters+idx] > 0 massFractions[idx] = referenceConcentrations counter = 0 for i, group in enumerate(fitresult['result']['groups']): if group.lower().startswith("scatter"): if DEBUG: print("skept %s" % group) continue outputDict['names'].append("C(%s)" % group) goodI = results[nFreeBackgroundParameters+i] > 0 tmp = results[nFreeBackgroundParameters+idx][goodI] massFractions[counter][goodI] = (results[nFreeBackgroundParameters+i][goodI]/(tmp + (tmp == 0))) *\ ((referenceArea/fitresult['result'][group]['fitarea']) *\ (concentrationsResult['mass fraction'][group])) counter += 1 if len(concentrationsResult['layerlist']) > 1: for layer in concentrationsResult['layerlist']: outputDict['names'].append("C(%s)-%s" % (group, layer)) massFractions[counter][goodI] = (results[nFreeBackgroundParameters+i][goodI]/(tmp + (tmp == 0))) *\ ((referenceArea/fitresult['result'][group]['fitarea']) *\ (concentrationsResult[layer]['mass fraction'][group])) counter += 1 outputDict['concentrations'] = massFractions if DEBUG: t = time.time() - t0 print("Calculation of concentrations elapsed = %f" % t) t0 = time.time() #################################################### return outputDict def getFileListFromPattern(pattern, begin, end, increment=None): if type(begin) == type(1): begin = [begin] if type(end) == type(1): end = [end] if len(begin) != len(end): raise ValueError(\ "Begin list and end list do not have same length") if increment is None: increment = [1] * len(begin) elif type(increment) == type(1): increment = [increment] if len(increment) != len(begin): raise ValueError(\ "Increment list and begin list do not have same length") fileList = [] if len(begin) == 1: for j in range(begin[0], end[0] + increment[0], increment[0]): fileList.append(pattern % (j)) elif len(begin) == 2: for j in range(begin[0], end[0] + increment[0], increment[0]): for k in range(begin[1], end[1] + increment[1], increment[1]): fileList.append(pattern % (j, k)) elif len(begin) == 3: raise ValueError("Cannot handle three indices yet.") for j in range(begin[0], end[0] + increment[0], increment[0]): for k in range(begin[1], end[1] + increment[1], increment[1]): for l in range(begin[2], end[2] + increment[2], increment[2]): fileList.append(pattern % (j, k, l)) else: raise ValueError("Cannot handle more than three indices.") return fileList if __name__ == "__main__": DEBUG = True import glob import sys from PyMca5.PyMca import EDFStack from PyMca5.PyMca import ArraySave import getopt options = '' longoptions = ['cfg=', 'outdir=', 'concentrations=', 'weight=', 'refit=', 'tif=', #'listfile=', 'filepattern=', 'begin=', 'end=', 'increment=', "outfileroot="] try: opts, args = getopt.getopt( sys.argv[1:], options, longoptions) except: print(sys.exc_info()[1]) sys.exit(1) fileRoot = "" outputDir = None refit = None fileindex = 0 filepattern=None begin = None end = None increment=None backend=None weight=0 tif=0 concentrations=0 for opt, arg in opts: if opt in ('--cfg'): configurationFile = arg elif opt in '--begin': if "," in arg: begin = [int(x) for x in arg.split(",")] else: begin = [int(arg)] elif opt in '--end': if "," in arg: end = [int(x) for x in arg.split(",")] else: end = int(arg) elif opt in '--increment': if "," in arg: increment = [int(x) for x in arg.split(",")] else: increment = int(arg) elif opt in '--filepattern': filepattern = arg.replace('"', '') filepattern = filepattern.replace("'", "") elif opt in '--outdir': outputDir = arg elif opt in '--weight': weight = int(arg) elif opt in '--refit': refit = int(arg) elif opt in '--concentrations': concentrations = int(arg) elif opt in '--outfileroot': fileRoot = arg elif opt in ['--tif', '--tiff']: tif = int(arg) if filepattern is not None: if (begin is None) or (end is None): raise ValueError(\ "A file pattern needs at least a set of begin and end indices") if filepattern is not None: fileList = getFileListFromPattern(filepattern, begin, end, increment=increment) else: fileList = args if refit is None: refit = 0 print("WARNING: --refit=%d taken as default" % refit) if len(fileList): if (not os.path.exists(fileList[0])) and \ os.path.exists(fileList[0].split("::")[0]): # odo convention to get a dataset form an HDF5 import h5py fname, dataPath = fileList[0].split("::") h5 = h5py.File(fname, "r") # compared to the ROI imaging tool, this way of reading puts data into memory # while with the ROI imaging tool, there is a check. dataStack = h5[dataPath][:] h5.close() else: dataStack = EDFStack.EDFStack(fileList, dtype=numpy.float32) else: print("OPTIONS:", longoptions) sys.exit(0) if outputDir is None: print("RESULTS WILL NOT BE SAVED: No output directory specified") t0 = time.time() fastFit = FastXRFLinearFit() fastFit.setFitConfigurationFile(configurationFile) print("Main configuring Elapsed = % s " % (time.time() - t0)) result = fastFit.fitMultipleSpectra(y=dataStack, weight=weight, refit=refit, concentrations=concentrations) print("Total Elapsed = % s " % (time.time() - t0)) if outputDir is not None: if 'concentrations' in result: imageNames = result['names'] images = numpy.concatenate((result['parameters'], result['concentrations']), axis=0) else: images = result['parameters'] imageNames = result['names'] nImages = images.shape[0] if fileRoot in [None, ""]: fileRoot = "images" if not os.path.exists(outputDir): os.mkdir(outputDir) imagesDir = os.path.join(outputDir, "IMAGES") if not os.path.exists(imagesDir): os.mkdir(imagesDir) imageList = [None] * (nImages + len(result['uncertainties'])) fileImageNames = [None] * (nImages + len(result['uncertainties'])) j = 0 for i in range(nImages): name = imageNames[i].replace(" ","-") fileImageNames[j] = name imageList[j] = images[i] j += 1 if not imageNames[i].startswith("C("): # fitted parameter fileImageNames[j] = "s(%s)" % name imageList[j] = result['uncertainties'][i] j += 1 fileName = os.path.join(imagesDir, fileRoot+".edf") ArraySave.save2DArrayListAsEDF(imageList, fileName, labels=fileImageNames) fileName = os.path.join(imagesDir, fileRoot+".csv") ArraySave.save2DArrayListAsASCII(imageList, fileName, csv=True, labels=fileImageNames) if tif: i = 0 for i in range(len(fileImageNames)): label = fileImageNames[i] if label.startswith("s("): continue elif label.startswith("C("): mass_fraction = "_" + label[2:-1] + "_mass_fraction" else: mass_fraction = "_" + label fileName = os.path.join(imagesDir, fileRoot + mass_fraction + ".tif") ArraySave.save2DArrayListAsMonochromaticTiff([imageList[i]], fileName, labels=[label], dtype=numpy.float32) PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/Elements.py0000644000276300001750000041536313136054446021344 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2017 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" LOGLOG = True import sys import os import numpy import re import weakref import types from PyMca5.PyMcaIO import ConfigDict from . import CoherentScattering from . import IncoherentScattering from . import PyMcaEPDL97 from PyMca5 import PyMcaDataDir """ Constant Symbol 2006 CODATA value Relative uncertainty Electron relative atomic mass Ar(e) 5.485 799 0943(23) x 10-4 4.2 x 10-10 Molar mass constant Mu 0.001 kg/mol defined Rydberg constant R 10 973 731.568 527(73) m-1 6.6 x 10-12 Planck constant h 6.626 068 96(33) x 10-34 Js 5.0 x 10-8 Speed of light c 299 792 458 m/s defined Fine structure constant alpha 7.297 352 5376(50) x 10-3 6.8 x 10-10 Avogadro constant NA 6.022 141 79(30) x 10+23 mol-1 5.0 x 10-8 """ MINENERGY = 0.175 AVOGADRO_NUMBER = 6.02214179E23 # # Symbol Atomic Number x y ( positions on table ) # name, mass, density # ElementsInfo = [ ["H", 1, 1,1, "hydrogen", 1.00800, 0.08988 ], ["He", 2, 18,1, "helium", 4.00300, 0.17860 ], ["Li", 3, 1,2, "lithium", 6.94000, 534.000 ], ["Be", 4, 2,2, "beryllium", 9.01200, 1848.00 ], ["B", 5, 13,2, "boron", 10.8110, 2340.00 ], ["C", 6, 14,2, "carbon", 12.0100, 1580.00 ], ["N", 7, 15,2, "nitrogen", 14.0080, 1.25000 ], ["O", 8, 16,2, "oxygen", 16.0000, 1.42900 ], ["F", 9, 17,2, "fluorine", 19.0000, 1108.00 ], ["Ne", 10, 18,2, "neon", 20.1830, 0.90020 ], ["Na", 11, 1,3, "sodium", 22.9970, 970.000 ], ["Mg", 12, 2,3, "magnesium", 24.3200, 1740.00 ], ["Al", 13, 13,3, "aluminium", 26.9700, 2720.00 ], ["Si", 14, 14,3, "silicon", 28.0860, 2330.00 ], ["P", 15, 15,3, "phosphorus", 30.9750, 1820.00 ], ["S", 16, 16,3, "sulphur", 32.0660, 2000.00 ], ["Cl", 17, 17,3, "chlorine", 35.4570, 1560.00 ], ["Ar", 18, 18,3, "argon", 39.9440, 1.78400 ], ["K", 19, 1,4, "potassium", 39.1020, 862.000 ], ["Ca", 20, 2,4, "calcium", 40.0800, 1550.00 ], ["Sc", 21, 3,4, "scandium", 44.9600, 2992.00 ], ["Ti", 22, 4,4, "titanium", 47.9000, 4540.00 ], ["V", 23, 5,4, "vanadium", 50.9420, 6110.00 ], ["Cr", 24, 6,4, "chromium", 51.9960, 7190.00 ], ["Mn", 25, 7,4, "manganese", 54.9400, 7420.00 ], ["Fe", 26, 8,4, "iron", 55.8500, 7860.00 ], ["Co", 27, 9,4, "cobalt", 58.9330, 8900.00 ], ["Ni", 28, 10,4, "nickel", 58.6900, 8900.00 ], ["Cu", 29, 11,4, "copper", 63.5400, 8940.00 ], ["Zn", 30, 12,4, "zinc", 65.3800, 7140.00 ], ["Ga", 31, 13,4, "gallium", 69.7200, 5903.00 ], ["Ge", 32, 14,4, "germanium", 72.5900, 5323.00 ], ["As", 33, 15,4, "arsenic", 74.9200, 5730.00 ], ["Se", 34, 16,4, "selenium", 78.9600, 4790.00 ], ["Br", 35, 17,4, "bromine", 79.9200, 3120.00 ], ["Kr", 36, 18,4, "krypton", 83.8000, 3.74000 ], ["Rb", 37, 1,5, "rubidium", 85.4800, 1532.00 ], ["Sr", 38, 2,5, "strontium", 87.6200, 2540.00 ], ["Y", 39, 3,5, "yttrium", 88.9050, 4405.00 ], ["Zr", 40, 4,5, "zirconium", 91.2200, 6530.00 ], ["Nb", 41, 5,5, "niobium", 92.9060, 8570.00 ], ["Mo", 42, 6,5, "molybdenum", 95.9500, 10220.0 ], ["Tc", 43, 7,5, "technetium", 99.0000, 11500.0 ], ["Ru", 44, 8,5, "ruthenium", 101.0700, 12410.0 ], ["Rh", 45, 9,5, "rhodium", 102.9100, 12440.0 ], ["Pd", 46, 10,5, "palladium", 106.400, 12160.0 ], ["Ag", 47, 11,5, "silver", 107.880, 10500.0 ], ["Cd", 48, 12,5, "cadmium", 112.410, 8650.00 ], ["In", 49, 13,5, "indium", 114.820, 7280.00 ], ["Sn", 50, 14,5, "tin", 118.690, 5310.00 ], ["Sb", 51, 15,5, "antimony", 121.760, 6691.00 ], ["Te", 52, 16,5, "tellurium", 127.600, 6240.00 ], ["I", 53, 17,5, "iodine", 126.910, 4940.00 ], ["Xe", 54, 18,5, "xenon", 131.300, 5.90000 ], ["Cs", 55, 1,6, "caesium", 132.910, 1873.00 ], ["Ba", 56, 2,6, "barium", 137.360, 3500.00 ], ["La", 57, 3,6, "lanthanum", 138.920, 6150.00 ], ["Ce", 58, 4,9, "cerium", 140.130, 6670.00 ], ["Pr", 59, 5,9, "praseodymium",140.920, 6769.00 ], ["Nd", 60, 6,9, "neodymium", 144.270, 6960.00 ], ["Pm", 61, 7,9, "promethium", 147.000, 6782.00 ], ["Sm", 62, 8,9, "samarium", 150.350, 7536.00 ], ["Eu", 63, 9,9, "europium", 152.000, 5259.00 ], ["Gd", 64, 10,9, "gadolinium", 157.260, 7950.00 ], ["Tb", 65, 11,9, "terbium", 158.930, 8272.00 ], ["Dy", 66, 12,9, "dysprosium", 162.510, 8536.00 ], ["Ho", 67, 13,9, "holmium", 164.940, 8803.00 ], ["Er", 68, 14,9, "erbium", 167.270, 9051.00 ], ["Tm", 69, 15,9, "thulium", 168.940, 9332.00 ], ["Yb", 70, 16,9, "ytterbium", 173.040, 6977.00 ], ["Lu", 71, 17,9, "lutetium", 174.990, 9842.00 ], ["Hf", 72, 4,6, "hafnium", 178.500, 13300.0 ], ["Ta", 73, 5,6, "tantalum", 180.950, 16600.0 ], ["W", 74, 6,6, "tungsten", 183.920, 19300.0 ], ["Re", 75, 7,6, "rhenium", 186.200, 21020.0 ], ["Os", 76, 8,6, "osmium", 190.200, 22500.0 ], ["Ir", 77, 9,6, "iridium", 192.200, 22420.0 ], ["Pt", 78, 10,6, "platinum", 195.090, 21370.0 ], ["Au", 79, 11,6, "gold", 197.200, 19370.0 ], ["Hg", 80, 12,6, "mercury", 200.610, 13546.0 ], ["Tl", 81, 13,6, "thallium", 204.390, 11860.0 ], ["Pb", 82, 14,6, "lead", 207.210, 11340.0 ], ["Bi", 83, 15,6, "bismuth", 209.000, 9800.00 ], ["Po", 84, 16,6, "polonium", 209.000, 0 ], ["At", 85, 17,6, "astatine", 210.000, 0 ], ["Rn", 86, 18,6, "radon", 222.000, 9.73000 ], ["Fr", 87, 1,7, "francium", 223.000, 0 ], ["Ra", 88, 2,7, "radium", 226.000, 0 ], ["Ac", 89, 3,7, "actinium", 227.000, 0 ], ["Th", 90, 4,10, "thorium", 232.000, 11700.0 ], ["Pa", 91, 5,10, "proactinium",231.03588, 0 ], ["U", 92, 6,10, "uranium", 238.070, 19050.0 ], ["Np", 93, 7,10, "neptunium", 237.000, 0 ], ["Pu", 94, 8,10, "plutonium", 239.100, 19700.0 ], ["Am", 95, 9,10, "americium", 243, 0 ], ["Cm", 96, 10,10, "curium", 247, 0 ], ["Bk", 97, 11,10, "berkelium", 247, 0 ], ["Cf", 98, 12,10, "californium",251, 0 ], ["Es", 99, 13,10, "einsteinium",252, 0 ], ["Fm", 100, 14,10, "fermium", 257, 0 ], ["Md", 101, 15,10, "mendelevium",258, 0 ], ["No", 102, 16,10, "nobelium", 259, 0 ], ["Lr", 103, 17,10, "lawrencium", 262, 0 ], ["Rf", 104, 4,7, "rutherfordium",261, 0 ], ["Db", 105, 5,7, "dubnium", 262, 0 ], ["Sg", 106, 6,7, "seaborgium", 266, 0 ], ["Bh", 107, 7,7, "bohrium", 264, 0 ], ["Hs", 108, 8,7, "hassium", 269, 0 ], ["Mt", 109, 9,7, "meitnerium", 268, 0 ], ] ElementList= [ elt[0] for elt in ElementsInfo ] from . import BindingEnergies ElementShells = BindingEnergies.ElementShells[1:] ElementBinding = BindingEnergies.ElementBinding from . import KShell from . import LShell from . import MShell #Scofield's photoelectric dictionnary from . import Scofield1973 ElementShellTransitions = [KShell.ElementKShellTransitions, KShell.ElementKAlphaTransitions, KShell.ElementKBetaTransitions, LShell.ElementLShellTransitions, LShell.ElementL1ShellTransitions, LShell.ElementL2ShellTransitions, LShell.ElementL3ShellTransitions, MShell.ElementMShellTransitions] ElementShellRates = [KShell.ElementKShellRates, KShell.ElementKAlphaRates, KShell.ElementKBetaRates, LShell.ElementLShellRates, LShell.ElementL1ShellRates, LShell.ElementL2ShellRates, LShell.ElementL3ShellRates,MShell.ElementMShellRates] ElementXrays = ['K xrays', 'Ka xrays', 'Kb xrays', 'L xrays','L1 xrays','L2 xrays','L3 xrays','M xrays'] def getsymbol(z): if (z > 0) and (z<=len(ElementList)): return ElementsInfo[int(z)-1][0] else: return None def getname(z): if (z > 0) and (z<=len(ElementList)): return ElementsInfo[int(z)-1][4] else: return None def getz(ele): if ele in ElementList: return ElementList.index(ele)+1 else: return None #fluorescence yields def getomegak(ele): index = KShell.ElementKShellConstants.index('omegaK') return KShell.ElementKShellValues[getz(ele)-1][index] def getomegal1(ele): index = LShell.ElementL1ShellConstants.index('omegaL1') return LShell.ElementL1ShellValues[getz(ele)-1][index] def getomegal2(ele): index = LShell.ElementL2ShellConstants.index('omegaL2') return LShell.ElementL2ShellValues[getz(ele)-1][index] def getomegal3(ele): index = LShell.ElementL3ShellConstants.index('omegaL3') return LShell.ElementL3ShellValues[getz(ele)-1][index] def getomegam1(ele): return MShell.getomegam1(ele) def getomegam2(ele): return MShell.getomegam2(ele) def getomegam3(ele): return MShell.getomegam3(ele) def getomegam4(ele): return MShell.getomegam4(ele) def getomegam5(ele): return MShell.getomegam5(ele) #CosterKronig def getCosterKronig(ele): return LShell.getCosterKronig(ele) #Jump ratios following Veigele: Atomic Data Tables 5 (1973) 51-111. p 54 and 55 VEIGELE = True def getjkVeigele(z): return (125.0/z) + 3.5 def getjl1Veigele(z): return 1.2 def getjl2Veigele(z): return 1.4 def getjl3Veigele(z): return (80.0/z) + 1.5 def getjm1Veigele(z): return 1.1 def getjm2Veigele(z): return 1.1 def getjm3Veigele(z): return 1.2 def getjm4Veigele(z): return 1.5 def getjm5Veigele(z): return (225.0/z) - 0.35 def getjk(z, veigele=None): if z > 101:z=101 if veigele is None: veigele = VEIGELE if VEIGELE: return getjkVeigele(z) ele = getsymbol(z) if 'JK' in Scofield1973.dict[ele].keys(): return Scofield1973.dict[ele]['JK']*1.0 else: return None def getjl1(z, veigele=None): if z > 101:z=101 if veigele is None: veigele = VEIGELE if VEIGELE: return getjl1Veigele(z) ele = getsymbol(z) if 'JL1' in Scofield1973.dict[ele].keys(): return Scofield1973.dict[ele]['JL1']*1.0 else: return None def getjl2(z, veigele=None): if z > 101:z=101 if veigele is None: veigele = VEIGELE if VEIGELE: return getjl2Veigele(z) ele = getsymbol(z) if 'JL2' in Scofield1973.dict[ele].keys(): return Scofield1973.dict[ele]['JL2']*1.0 else: return None def getjl3(z, veigele=None): if z > 101:z=101 if veigele is None: veigele = VEIGELE if VEIGELE: return getjl3Veigele(z) ele = getsymbol(z) if 'JL3' in Scofield1973.dict[ele].keys(): return Scofield1973.dict[ele]['JL3']*1.0 else: return None def getjm1(z, veigele=None): if z > 101:z=101 if veigele is None: veigele = VEIGELE if VEIGELE: return getjm1Veigele(z) ele = getsymbol(z) if 'JM1' in Scofield1973.dict[ele].keys(): return Scofield1973.dict[ele]['JM1']*1.0 else: return None def getjm2(z, veigele=None): if z > 101:z=101 if veigele is None: veigele = VEIGELE if VEIGELE: return getjm2Veigele(z) ele = getsymbol(z) if 'JM3' in Scofield1973.dict[ele].keys(): return Scofield1973.dict[ele]['JM2']*1.0 else: return None def getjm3(z, veigele=None): if z > 101:z=101 if veigele is None: veigele = VEIGELE if VEIGELE: return getjm3Veigele(z) ele = getsymbol(z) if 'JM3' in Scofield1973.dict[ele].keys(): return Scofield1973.dict[ele]['JM3']*1.0 else: return None def getjm4(z, veigele=None): if z > 101:z=101 if veigele is None: veigele = VEIGELE if VEIGELE: return getjm4Veigele(z) ele = getsymbol(z) if 'JM4' in Scofield1973.dict[ele].keys(): return Scofield1973.dict[ele]['JM4']*1.0 else: return None def getjm5(z, veigele=None): if z > 101:z=101 if veigele is None: veigele = VEIGELE if VEIGELE: return getjm5Veigele(z) ele = getsymbol(z) if 'JM5' in Scofield1973.dict[ele].keys(): return Scofield1973.dict[ele]['JM5']*1.0 else: return None def getLJumpWeight(ele,excitedshells=[1.0,1.0,1.0]): """ wjump represents the probability for a vacancy to be created on the respective L-Shell by direct photoeffect on that shell """ z = getz(ele) #weights due to photoeffect jl = [getjl1(z), getjl2(z), getjl3(z)] wjump = [] i = 0 cum = 0.00 for jump in jl: if jump is not None: v = excitedshells[i]*(jump-1.0)/jump else: v = 0.0 wjump.append(v) cum += v i+=1 for i in range(len(wjump)): if cum > 0.0: wjump[i] = wjump[i] / cum else: wjump[i] = 0.0 return wjump def getMJumpWeight(ele,excitedshells=[1.0,1.0,1.0,1.0,1.0]): """ wjump represents the probability for a vacancy to be created on the respective M-Shell by direct photoeffect on that shell """ z = getz(ele) #weights due to photoeffect jm = [getjm1(z), getjm2(z), getjm3(z), getjm4(z), getjm5(z)] wjump = [] i = 0 cum = 0.00 for jump in jm: if jump is not None: v = excitedshells[i]*(jump-1.0)/jump else: v = 0.0 wjump.append(v) cum += v i+=1 for i in range(len(wjump)): if cum > 0.0: wjump[i] = wjump[i] / cum else: wjump[i] = 0.0 return wjump def getPhotoWeight(ele,shelllist,energy, normalize = None, totals = None): #shellist = ['M1', 'M2', 'M3', 'M4', 'M5'] # or ['L1', 'L2', 'L3'] if normalize is None:normalize = True if totals is None: totals = False w = [] z = getz(ele) if z > 101: element = getsymbol(101) if z > 104: elework = getsymbol(104) else: elework = ele else: elework = ele element = ele if totals and (energy < 1.0): raise ValueError("Incompatible combination") elif (energy < 1.0): #make sure the binding energies are correct if PyMcaEPDL97.EPDL97_DICT[ele]['original']: #make sure the binding energies are those used by this module and not EADL ones PyMcaEPDL97.setElementBindingEnergies(ele, Element[ele]['binding']) return PyMcaEPDL97.getPhotoelectricWeights(ele, shelllist, energy, normalize=normalize, totals=False) elif totals: totalPhoto = [] logf = numpy.log expf = numpy.exp for key in shelllist: wi = 0.0 totalPhotoi = 0.0 if key != "all other": bindingE = Element[elework]['binding'][key] else: bindingE = 0.001 if (key == "all other") and (key not in Scofield1973.dict[element].keys()): doit = False else: doit = True if doit and bindingE > 0.0: if energy >= bindingE: deltae = energy - bindingE if key != "all other": ework = Scofield1973.dict[element]['binding'][key]+deltae else: ework = energy if ework > Scofield1973.dict[element]['energy'][-1]: #take last wi = Scofield1973.dict[element][key][-1] totalPhotoi=Scofield1973.dict[element]['total'][-1] else: #interpolate i=0 while (Scofield1973.dict[element]['energy'][i] < ework): i+=1 #if less than 5 eV take that value (Scofield calculations #do not seem to be self-consistent in tems of energy grid #and binding energy -see Lead with e=2.5 -> ework = 2.506 #that is below the binding energy of Scofield) if False and (Scofield1973.dict[element]['energy'][i] - ework) < 0.005: #this does not work for Cd and E=3.5376" print("Not interpolate for key = ",key,'ework = ',ework,"taken ",Scofield1973.dict[element]['energy'][i]) wi = Scofield1973.dict[element][key][i] elif (key != 'all other') and Scofield1973.dict[element]['energy'][i-1] < Scofield1973.dict[element]['binding'][key]: wi = Scofield1973.dict[element][key][i] totalPhotoi = Scofield1973.dict[element]['total'][i] elif Scofield1973.dict[element][key][i-1] <= 0.0: #equivalent to previous case, solves problem of Fr at excitation = 3.0 wi = Scofield1973.dict[element][key][i] totalPhotoi = Scofield1973.dict[element]['total'][i] else: #if element == "Fr": # print "energy = ",energy," ework = ",ework # print Scofield1973.dict[element]['energy'][i] # print Scofield1973.dict[element]['energy'][i-1] # print Scofield1973.dict[element][key][i] # print Scofield1973.dict[element][key][i-1] # print type( Scofield1973.dict[element][key][i-1] ) x2 = logf(Scofield1973.dict[element]['energy'][i]) x1 = logf(Scofield1973.dict[element]['energy'][i-1]) y2 = logf(Scofield1973.dict[element][key][i]) y1 = logf(Scofield1973.dict[element][key][i-1]) slope = (y2 - y1)/(x2 - x1) wi = expf(y1 + slope * (logf(ework) - x1)) if totals: y2 = logf(Scofield1973.dict[element]['total'][i]) y1 = logf(Scofield1973.dict[element]['total'][i-1]) totalPhotoi = expf(y1 + slope * (logf(ework) - x1)) w += [wi] if totals: totalPhoto += [totalPhotoi] if normalize: total = sum(w) for i in range(len(w)): if total > 0.0: w[i] = w[i]/total else: w[i] = 0.0 if totals: return w, totalPhoto else: return w def _getFluorescenceWeights(ele, energy, normalize = None, cascade = None): if normalize is None:normalize = True if cascade is None:cascade = False if sys.version < '3.0': if type(ele) in types.StringTypes: pass else: ele = getsymbol(int(ele)) else: #python 3 if type(ele) == type(" "): #unicode, fine pass elif 'bytes' in str(type(ele)): #bytes object, convert to unicode ele = ele.decode() else: ele = getsymbol(int(ele)) wall = getPhotoWeight(ele,['K','L1','L2','L3','M1','M2','M3','M4','M5','all other'],energy, normalize=True) #weights due to Coster - Kronig transitions #k shell is not affected ck= LShell.getCosterKronig(ele) if cascade and (sum(wall[1:4]) > 0.0) and (wall[0] > 0.0): #l shell (considering holes due to k shell transitions) #I assume that approximately the auger transitions give #single equaly distributed vacancies # I guess this will be better than ignoring them if Element[ele]['omegak'] > 0.001: auger = 0.32 * (1.0 - Element[ele]['omegak']) #assume rest goes to other shells ... cor = [auger, auger + Element[ele]['KL2']['rate'] * Element[ele]['omegak'], auger + Element[ele]['KL3']['rate'] * Element[ele]['omegak']] w = [wall[1]+cor[0] * wall[0], wall[2]+cor[1] * wall[0], wall[3]+cor[2] * wall[0]] else: cor = 0.3 * wall[0] w = [wall[1]+cor, wall[2]+cor, wall[3]+cor] else: #l shell (neglecting holes due to k shell transitions) w = [wall[1], wall[2], wall[3]] w[0] = w[0] w[1] = w[1] + ck['f12'] * w[0] w[2] = w[2] + ck['f13'] * w[0] + ck['f23'] * w[1] wall[1] = w[0] * 1.0 wall[2] = w[1] * 1.0 wall[3] = w[2] * 1.0 #mshell ck= MShell.getCosterKronig(ele) if cascade and (sum(wall[4:]) > 0): cor = [0.0, 0.0, 0.0, 0.0, 0.0] augercor = 0.0 if wall[0] > 0.0: #K shell if 'KM2' in Element[ele]['K xrays']: cor[1] += wall[0] * Element[ele]['KM2']['rate'] * \ Element[ele]['omegak'] if 'KM3' in Element[ele]['K xrays']: cor[2] += wall[0] * Element[ele]['KM3']['rate'] * \ Element[ele]['omegak'] #auger K transitions (5 % total of shells M1, M2, M3) cor[0] += wall[0] * 0.05 * (1.0 - Element[ele]['omegak']) cor[1] += wall[0] * 0.05 * (1.0 - Element[ele]['omegak']) cor[2] += wall[0] * 0.05 * (1.0 - Element[ele]['omegak']) cor[3] += wall[0] * 0.01 * (1.0 - Element[ele]['omegak']) cor[4] += wall[0] * 0.01 * (1.0 - Element[ele]['omegak']) if sum(wall[1:4]) > 0: #L shell #X rays I can take them rigorously mlist = ['M1','M2','M3','M4','M5'] i = 0 #for the auger I take 95% of the value and #equally distribute it among the shells augerfactor = 0.95/ 5.0 augercor = 0.0 for key in ['L1 xrays', 'L2 xrays', 'L3 xrays']: i = i + 1 if i == 1: omega=Element[ele]['omegal1'] auger= 1.0 - omega \ - Element[ele]['CosterKronig']['L']['f12'] \ - Element[ele]['CosterKronig']['L']['f13'] augercor += augerfactor * auger elif i == 2: omega=Element[ele]['omegal2'] auger= 1.0 - omega \ - Element[ele]['CosterKronig']['L']['f23'] augercor += augerfactor * auger elif i == 3: omega=Element[ele]['omegal3'] auger= 1.0 - omega augercor += augerfactor * auger else: print("Error unknown shell, Please report") omega = 0.0 #for the elements #I consider Coster-Kronig for L1 if (i == 1) and (Element[ele]['Z'] >= 80): #f13 is the main transition if Element[ele]['Z'] >= 90: #L1-L3M5 is ~ 40 % #L1-L3M4 is ~ 32 % #rest is other shells cor[3] += 0.32 * wall[1] * \ Element[ele]['CosterKronig']['L']['f13'] cor[4] += 0.43 * wall[1] * \ Element[ele]['CosterKronig']['L']['f13'] if Element[ele]['Z'] > 90: cor[2] += 0.5 * wall[1] * \ Element[ele]['CosterKronig']['L']['f13'] else: #L1-L3M5 is ~ 43 % #L1-L3M4 is ~ 32 % #rest is other shells cor[3] += 0.32 * wall[1] * \ Element[ele]['CosterKronig']['L']['f13'] cor[4] += 0.44 * wall[1] * \ Element[ele]['CosterKronig']['L']['f13'] #L2 elif (i == 2) and (Element[ele]['Z'] >= 90): if Element[ele]['Z'] >= 94: #L2-L3M5 ~ 3 % #L2-L3M4 ~ 50% cor[3] += 0.50 * wall[2] * \ Element[ele]['CosterKronig']['L']['f23'] cor[4] += 0.03 * wall[2] * \ Element[ele]['CosterKronig']['L']['f23'] else: #L2-L3M5 ~ 6 % cor[4] += 0.06 * wall[2] * \ Element[ele]['CosterKronig']['L']['f23'] elif (i==3): #missing pages from article pass if key in Element[ele]: for t in Element[ele][key]: if t[2:] in mlist: index = mlist.index(t[2:]) cor[index] += Element[ele][t]['rate'] * \ wall[i] * omega cor[0] += augercor cor[1] += augercor cor[2] += augercor cor[3] += augercor cor[4] += augercor w = [wall[4]+cor[0], wall[5]+cor[1], wall[6]+cor[2], wall[7]+cor[3], wall[8]+cor[4]] else: w = [wall[4], wall[5], wall[6], wall[7], wall[8]] w[0] = w[0] w[1] = w[1] + ck['f12'] * w[0] w[2] = w[2] + ck['f13'] * w[0] + ck['f23'] * w[1] w[3] = w[3] + ck['f14'] * w[0] + ck['f24'] * w[1] + ck['f34'] * w[2] w[4] = w[4] + ck['f15'] * w[0] + ck['f25'] * w[1] + ck['f35'] * w[2] +\ ck['f45'] * w[3] wall[4] = w[0] * 1.0 wall[5] = w[1] * 1.0 wall[6] = w[2] * 1.0 wall[7] = w[3] * 1.0 wall[8] = w[4] * 1.0 #weights due to omega omega = [ getomegak(ele), getomegal1(ele), getomegal2(ele), getomegal3(ele), getomegam1(ele), getomegam2(ele), getomegam3(ele), getomegam4(ele), getomegam5(ele)] w = wall[0:9] for i in range(len(w)): w[i] *= omega[i] if normalize: cum = sum(w) for i in range(len(w)): if cum > 0.0: w[i] /= cum return w def getEscape(matrix, energy, ethreshold=None, ithreshold=None, nthreshold = None, alphain = None, cascade = None, fluorescencemode=None): """ getEscape(matrixlist, energy, ethreshold=None, ithreshold=None, nthreshold = None, alphain = None) matrixlist is a list of the form [material, density, thickness] energy is the incident beam energy ethreshold is the difference in keV between two peaks to be considered the same ithreshold is the minimum absolute peak intensity to consider nthreshold is maximum number of escape peaks to consider alphain is the incoming beam angle with detector surface It gives back a list of the form [[energy0, intensity0, label0], [energy1, intensity1, label1], .... [energyn, intensityn, labeln]] with the escape energies, intensities and labels """ if alphain is None: alphain = 90.0 if fluorescencemode is None:fluorescencemode = False sinAlphaIn = numpy.sin(alphain * (numpy.pi)/180.) sinAlphaOut = 1.0 elementsList = None if cascade is None:cascade=False if elementsList is None: #get material elements and concentrations eleDict = getMaterialMassFractions([matrix[0]], [1.0]) if eleDict == {}: return {} #sort the elements according to atomic number (not needed because the output will be a dictionnary) keys = eleDict.keys() elementsList = [[getz(x),x] for x in keys] elementsList.sort() #do the job outputDict = {} shelllist = ['K', 'L1', 'L2', 'L3','M1', 'M2', 'M3', 'M4', 'M5'] for z,ele in elementsList: #use own unfiltered dictionnary elementDict = _getUnfilteredElementDict(ele, energy) outputDict[ele] ={} outputDict[ele]['mass fraction'] = eleDict[ele] outputDict[ele]['rates'] = {} #get the fluorescence term for all shells fluoWeights = _getFluorescenceWeights(ele, energy, normalize = False, cascade=cascade) outputDict[ele]['rays'] = elementDict['rays'] * 1 for rays in elementDict['rays']: outputDict[ele][rays] = [] rates = [] energies = [] transitions = elementDict[rays] for transition in transitions: outputDict[ele][rays] += [transition] outputDict[ele][transition]={} outputDict[ele][transition]['rate'] = 0.0 if transition[0] == "K": """ if transition[-1] == 'a': elif transition[-1] == 'b': else: """ rates.append(fluoWeights[0] * elementDict[transition]['rate']) else: rates.append(fluoWeights[shelllist.index(transition[0:2])] * elementDict[transition]['rate']) ene = elementDict[transition]['energy'] energies += [ene] outputDict[ele][transition]['energy'] = ene if ene < 0.0: print("element = ", ele, "transition = ", transition, "exc. energy = ", energy) #matrix term formula = matrix[0] thickness = matrix[1] * matrix[2] energies += [energy] allcoeffs = getMaterialMassAttenuationCoefficients(formula,1.0,energies) mutotal = allcoeffs['total'] #muphoto = allcoeffs['photo'] muphoto = getMaterialMassAttenuationCoefficients(ele,1.0,energy)['photo'] # correct respect to Reed and Ware # because there can be more than one element and # I also weight the mass fraction notalone = (muphoto[-1]/mutotal[-1]) *\ 0.5 * outputDict[ele]['mass fraction'] del energies[-1] i = 0 for transition in transitions: trans = (mutotal[i]/sinAlphaOut)/(mutotal[-1]/sinAlphaIn) trans = notalone * \ (1.0 - trans * numpy.log(1.0 + 1.0/trans)) if thickness > 0.0: #extremely thin case trans0 = notalone * thickness * mutotal[-1]/sinAlphaIn trans = min(trans0, trans) rates[i] *= trans outputDict[ele][transition]['rate'] = rates[i] i += 1 outputDict[ele]['rates'][rays] = sum(rates) #outputDict[ele][rays]= Element[ele]['rays'] * 1 peaklist = [] for key in outputDict: rays = [] if 'M xrays' in outputDict[key]: rays += outputDict[key]['M xrays'] if 'L xrays' in outputDict[key]: rays += outputDict[key]['L xrays'] if 'K xrays' in outputDict[key]: rays += outputDict[key]['K xrays'] for label in rays: if fluorescencemode: peaklist.append([outputDict[key][label]['energy'], outputDict[key][label]['rate'], key+' '+label.replace('*','')]) else: peaklist.append([energy - outputDict[key][label]['energy'], outputDict[key][label]['rate'], key+' '+label.replace('*','')]) return _filterPeaks(peaklist, ethreshold = ethreshold, ithreshold = ithreshold, nthreshold = nthreshold, absoluteithreshold = True, keeptotalrate = False) #return outputDict def _filterPeaks(peaklist, ethreshold = None, ithreshold = None, nthreshold = None, absoluteithreshold=None, keeptotalrate=None): """ Given a list of peaks of the form [[energy0, intensity0, label0], [energy1, intensity1, label1], .... [energyn, intensityn, labeln]] gives back a filtered list of the same form ethreshold -> peaks within that threshold are considered one ithreshold -> intensity threshold relative to maximum unless absoluteithreshold is set to True The total rate is kept unless keeptotal rate is set to false (for instance for the escape peak calculation """ if absoluteithreshold is None:absoluteithreshold=False if keeptotalrate == None: keeptotalrate = True div = [] for i in range(len(peaklist)): if peaklist[i][1] > 0.0: div.append([peaklist[i][0],[peaklist[i][1],peaklist[i][0]],peaklist[i][2]]) #div =[[peaklist[i][0],[peaklist[i][1],peaklist[i][0]],peaklist[i][2]] for i in range(len(peaklist))] div.sort() totalrate = sum([x[1] for x in peaklist]) newpeaks =[div[i][1] for i in range(len(div))] newpeaksnames=[div[i][2] for i in range(len(div))] tojoint=[] deltaonepeak = ethreshold mix = [] if len(newpeaks) > 1: for i in range(len(newpeaks)): #print "i = ",i,"energy = ",newpeaks[i][1], \ # " rate = ",newpeaks[i][0], \ # "name = ",newpeaksnames[i] for j in range(i,len(newpeaks)): if i != j: if abs(newpeaks[i][1]-newpeaks[j][1]) < deltaonepeak: if len(tojoint): if (i in tojoint[-1]) and (j in tojoint[-1]): #print "i and j already there" pass elif (i in tojoint[-1]): #print "i was there" tojoint[-1]+=[j] elif (j in tojoint[-1]): #print "j was there" tojoint[-1]+=[i] else: tojoint.append([i,j]) else: tojoint.append([i,j]) if len(tojoint): mix=[] iDelete = [] for _group in tojoint: rate = 0.0 rateMax = 0.0 for i in _group: rate += newpeaks[i][0] if newpeaks[i][0] > rateMax: rateMax = newpeaks[i][0] iMax = i iDelete += [i] transition = newpeaksnames[iMax] ene = 0.0 for i in _group: ene += newpeaks[i][0] * newpeaks[i][1]/rate mix.append([ene,rate,transition]) iDelete.sort() iDelete.reverse() for i in iDelete: del newpeaks[i] del newpeaksnames[i] output = [] for i in range(len(newpeaks)): output.append([newpeaks[i][1], newpeaks[i][0], newpeaksnames [i]]) for peak in mix: output.append(peak) output.sort() #intensity threshold if len(output) <= 1:return output if ithreshold is not None: imax = max([x[1] for x in output]) if absoluteithreshold: threshold = ithreshold else: threshold = ithreshold * imax for i in range(-len(output)+1,1): if output[i][1] < threshold: del output[i] #number threshold if nthreshold is not None: if nthreshold < len(output): div = [[x[1],x] for x in output] div.sort() div.reverse() div = div[:nthreshold] output = [x[1] for x in div] output.sort() #recover original rates if keeptotalrate: currenttotal = sum([x[1] for x in output]) if currenttotal > 0: totalrate = totalrate/currenttotal output = [[x[0],x[1]*totalrate,x[2]] for x in output] return output def _getAttFilteredElementDict(elementsList, attenuators= None, detector = None, funnyfilters = None, energy = None): if energy is None: energy = 100. if attenuators is None: attenuators = [] if funnyfilters is None: funnyfilters = [] outputDict = {} for group in elementsList: ele = group[1] * 1 if not (ele in outputDict): outputDict[ele] = {} outputDict[ele]['rays'] = [] raysforloop = [group[2] + " xrays"] elementDict = _getUnfilteredElementDict(ele, energy) for rays in raysforloop: if rays not in elementDict:continue else:outputDict[ele]['rays'].append(rays) outputDict[ele][rays] = [] rates = [] energies = [] transitions = elementDict[rays] for transition in transitions: outputDict[ele][rays] += [transition] outputDict[ele][transition]={} ene = elementDict[transition]['energy'] * 1 energies += [ene] rates.append(elementDict[transition]['rate'] * 1.0) outputDict[ele][transition]['energy'] = ene #I do not know if to include this loop in the previous one (because rates are 0.0 sometimes) #attenuators coeffs = numpy.zeros(len(energies), numpy.float) for attenuator in attenuators: formula = attenuator[0] thickness = attenuator[1] * attenuator[2] coeffs += thickness * numpy.array(getMaterialMassAttenuationCoefficients(formula,1.0,energies)['total']) try: trans = numpy.exp(-coeffs) except OverflowError: #deal with underflows reported as overflows trans = numpy.zeros(len(energies), numpy.float) for i in range(len(energies)): coef = coeffs[i] if coef < 0.0: raise ValueError("Positive exponent in attenuators transmission term") else: try: trans[i] = numpy.exp(-coef) except OverflowError: #if we are here we know it is not an overflow and trans[i] has the proper value pass #funnyfilters (only make sense to have more than one if same opening and aligned) coeffs = numpy.zeros(len(energies), numpy.float) funnyfactor = None for attenuator in funnyfilters: formula = attenuator[0] thickness = attenuator[1] * attenuator[2] if funnyfactor is None: funnyfactor = attenuator[3] else: if abs(attenuator[3]-funnyfactor) > 0.0001: raise ValueError("All funny type filters must have same openning fraction") coeffs += thickness * numpy.array(getMaterialMassAttenuationCoefficients(formula,1.0,energies)['total']) if funnyfactor is None: for i in range(len(rates)): rates[i] *= trans[i] else: try: transFunny = funnyfactor * numpy.exp(-coeffs) +\ (1.0 - funnyfactor) except OverflowError: #deal with underflows reported as overflows transFunny = numpy.zeros(len(energies), numpy.float) for i in range(len(energies)): coef = coeffs[i] if coef < 0.0: raise ValueError("Positive exponent in funnyfilters transmission term") else: try: transFunny[i] = numpy.exp(-coef) except OverflowError: #if we are here we know it is not an overflow and trans[i] has the proper value pass transFunny = funnyfactor * transFunny + \ (1.0 - funnyfactor) for i in range(len(rates)): rates[i] *= (trans[i] * transFunny[i]) #detector term if detector is not None: formula = detector[0] thickness = detector[1] * detector[2] coeffs = thickness * numpy.array(getMaterialMassAttenuationCoefficients(formula,1.0,energies)['total']) try: trans = (1.0 - numpy.exp(-coeffs)) except OverflowError: #deal with underflows reported as overflows trans = numpy.ones(len(energies), numpy.float) for i in range(len(energies)): coef = coeffs[i] if coef < 0.0: raise ValueError("Positive exponent in detector transmission term") else: try: trans[i] = 1.0 - numpy.exp(-coef) except OverflowError: #if we are here we know it is not an overflow and trans[i] has the proper value pass for i in range(len(rates)): rates[i] *= trans[i] i = 0 for transition in transitions: outputDict[ele][transition]['rate'] = rates[i] * 1 i += 1 return outputDict def getMultilayerFluorescence(multilayer0, energyList, layerList = None, weightList=None, flagList = None, fulloutput = None, beamfilters = None, elementsList = None, attenuators = None, alphain = None, alphaout = None, cascade = None, detector= None, funnyfilters=None, forcepresent=None, secondary=None): if multilayer0 is None:return [] if secondary is None:secondary=False if len(multilayer0): if type(multilayer0[0]) != type([]): multilayer=[multilayer0 * 1] else: multilayer=multilayer0 * 1 if fulloutput is None:fulloutput = 0 if (type(energyList) != type([])) and \ (type(energyList) != numpy.ndarray): energyList = [energyList] energyList = numpy.array(energyList, dtype=numpy.float) if layerList is None: layerList = list(range(len(multilayer))) if type(layerList) != type([]): layerList = [layerList] if elementsList is not None: if type(elementsList) != type([]): elementsList = [elementsList] if weightList is not None: if (type(weightList) != type([])) and \ (type(weightList) != numpy.ndarray): weightList = [weightList] weightList = numpy.array(weightList, dtype=numpy.float) else: weightList = numpy.ones(len(energyList)).astype(numpy.float) if flagList is not None: if (type(flagList) != type([])) and \ (type(flagList) != numpy.ndarray): flagList = [flagList] flagList = numpy.array(flagList) else: flagList = numpy.ones(len(energyList)).astype(numpy.float) optimized = 0 if beamfilters is None:beamfilters = [] if len(beamfilters): if type(beamfilters[0]) != type([]): beamfilters=[beamfilters] if elementsList is not None: if len(elementsList): if type(elementsList[0]) == type([]): if len(elementsList[0]) == 3: optimized = 1 if attenuators is None:attenuators = [] if beamfilters is None:beamfilters = [] if alphain is None: alphain = 45.0 if alphaout is None: alphaout = 45.0 if alphain >= 0: sinAlphaIn = numpy.sin(alphain * numpy.pi / 180.) else: sinAlphaIn = numpy.sin(-alphain * numpy.pi / 180.) sinAlphaOut = numpy.sin(alphaout * numpy.pi / 180.) origattenuators = attenuators * 1 newbeamfilters = beamfilters * 1 if alphain < 0: ilayerindexes = list(range(len(multilayer))) ilayerindexes.reverse() for ilayer in ilayerindexes: newbeamfilters.append(multilayer[ilayer] * 1) newbeamfilters[-1][2] = newbeamfilters[-1][2]/sinAlphaIn del newbeamfilters[-1] #normalize incoming beam i0 = numpy.nonzero(flagList>0)[0] weightList = numpy.take(weightList, i0).astype(numpy.float) energyList = numpy.take(energyList, i0).astype(numpy.float) flagList = numpy.take(flagList, i0).astype(numpy.float) #normalize selected weights total = sum(weightList) if 0: #old way for beamfilter in beamfilters: formula = beamfilter[0] thickness = beamfilter[1] * beamfilter[2] coeffs = thickness * numpy.array(getMaterialMassAttenuationCoefficients(formula,1.0,energyList)['total']) try: trans = numpy.exp(-coeffs) except OverflowError: for coef in coeffs: if coef < 0.0: raise ValueError("Positive exponent in attenuators transmission term") trans = 0.0 * coeffs weightList = weightList * trans else: pass #new way will be made later #formula = [] #thickness = [] #for beamfilter in newbeamfilters: # formula.append(beamfilter[0] * 1) # thickness.append(beamfilter[1] * beamfilter[2]) #trans = getMaterialTransmission(formula, thickness, energyList, # density=1.0, thickness = sum(thickness))['transmission'] #weightList = weightList * trans if total <= 0.0: raise ValueError("Sum of weights lower or equal to 0") weightList = weightList / total #forcepresent is to set concentration 1 for the fit #useless if elementsList is not given if forcepresent is None:forcepresent=0 forcedElementsList = [] if elementsList is not None: if forcepresent: forcedElementsList = elementsList * 1 keys = [] for ilayer in list(range(len(multilayer))): pseudomatrix = multilayer[ilayer] * 1 eleDict = getMaterialMassFractions([pseudomatrix[0]], [1.0]) keys += eleDict.keys() for ele in keys: todelete = [] for i in list(range(len(forcedElementsList))): group = forcedElementsList[i] if optimized: groupElement = group[1] * 1 else: groupElement = group * 1 if ele == groupElement: todelete.append(i) todelete.reverse() for i in todelete: del forcedElementsList[i] else: forcedElementsList = [] #print "forcedElementsList = ",forcedElementsList #import time #t0 = time.time() result = [] dictListList = [] elementsListFinal = [] for ilayer in list(range(len(multilayer))): dictList = [] if ilayer > 0: #arrange attenuators origattenuators.append(multilayer[ilayer-1] * 1) origattenuators[-1][2] = origattenuators[-1][2]/sinAlphaOut #arrange beamfilters if alphain >= 0: newbeamfilters.append(multilayer[ilayer-1] * 1) newbeamfilters[-1][2] = newbeamfilters[-1][2]/sinAlphaIn else: del newbeamfilters[-1] if 0: print(multilayer[ilayer], "beamfilters =", newbeamfilters) print(multilayer[ilayer], "attenuators =", origattenuators) if ilayer not in layerList:continue pseudomatrix = multilayer[ilayer] * 1 newelementsList = [] eleDict = getMaterialMassFractions([pseudomatrix[0]], [1.0]) if eleDict == {}: raise ValueError("Invalid layer material %s" % pseudomatrix[0]) keys = list(eleDict.keys()) if elementsList is None: newelementsList = keys for key in keys: if key not in elementsListFinal: elementsListFinal.append(key) else: newelementsList = [] if optimized: for ele in keys: for group in elementsList: if ele == group[1]: newelementsList.append(group) else: for ele in keys: for group in elementsList: if ele == group: newelementsList.append(group) for group in forcedElementsList: newelementsList.append(group * 1) if optimized: eleDict[group[1] * 1] = {} eleDict[group[1] * 1] = 1.0 else: eleDict[group * 1] = {} eleDict[group * 1] = 1.0 if not len(newelementsList): dictList.append({}) result.append({}) continue #here I could recalculate the dictionnary if optimized: userElementDict = _getAttFilteredElementDict(newelementsList, attenuators= origattenuators, detector = detector, funnyfilters = funnyfilters, energy = max(energyList)) workattenuators = None workdetector = None workfunnyfilters = None else: userElementDict = None workattenuators = origattenuators * 1 if detector is not None: workdetector = detector * 1 else: workdetector = None if funnyfilters is not None: workfunnyfilters = funnyfilters * 1 else: workfunnyfilters = None newweightlist = numpy.ones(weightList.shape,numpy.float) if len(newbeamfilters): coeffs = numpy.zeros(len(energyList), numpy.float) for beamfilter in newbeamfilters: formula = beamfilter[0] thickness = beamfilter[1] * beamfilter[2] coeffs += thickness * numpy.array(getMaterialMassAttenuationCoefficients(formula,1.0,energyList)['total']) try: trans = numpy.exp(-coeffs) except OverflowError: #deal with underflows reported as overflows trans = numpy.zeros(len(energyList), numpy.float) for i in range(len(energyList)): coef = coeffs[i] if coef < 0.0: raise ValueError("Positive exponent in attenuators transmission term") else: try: trans[i] = numpy.exp(-coef) except OverflowError: #if we are here we know it is not an overflow and trans[i] has the proper value pass newweightlist = weightList * trans else: newweightlist = weightList * 1 #nobody warrants the list ordered if optimized: newelementsListWork = newelementsList * 1 else: newelementsListWork = [newelementsList * 1] matrixmutotalexcitation = getMaterialMassAttenuationCoefficients(pseudomatrix[0], 1.0, energyList)['total'] for justone in newelementsListWork: if optimized: if justone[2].upper()[0] == 'K': shellIdent = 'K' elif len(justone[2]) == 2: shellIdent = justone[2].upper() elif justone[2].upper() == 'L': shellIdent = 'L3' elif justone[2].upper() == 'M': shellIdent = 'M5' else: raise ValueError("Unknown Element shell %s" % justone[2]) bindingEnergy = Element[justone[1]]['binding'][shellIdent] nrgi = numpy.nonzero(energyList >= bindingEnergy)[0] if len(nrgi) == 0:nrgi=[0] justoneList = [justone] matrixmutotalfluorescence = None if len(nrgi) > 1: #calculate all the matrix mass attenuation coefficients #for the fluorescent energies outside the energy loop. #the energy list could also be taken out of this loop. element_energies = [] for item in userElementDict[justone[1]][justone[2]+ " xrays"]: element_energies.append(userElementDict[justone[1]]\ [item]['energy']) matrixmutotalfluorescence = getMaterialMassAttenuationCoefficients(pseudomatrix[0], 1.0, element_energies)['total'] else: matrixmutotalfluorescence = None else: justoneList = justone nrgi = range(len(energyList)) matrixmutotalfluorescence= None for iene in nrgi: energy = energyList[iene] * 1.0 #print "before origattenuators = ",origattenuators dict = getFluorescence(pseudomatrix, energy, attenuators = workattenuators, alphain = alphain, alphaout = alphaout, #elementsList = newelementsList, elementsList = justoneList, cascade = cascade, detector = workdetector, funnyfilters = workfunnyfilters, userElementDict = userElementDict, matrixmutotalfluorescence=matrixmutotalfluorescence, matrixmutotalexcitation=matrixmutotalexcitation[iene]*1.0) #print "after origattenuators = ",origattenuators if optimized: #give back with concentration 1 for ele in dict.keys(): dict[ele]['weight'] = newweightlist[iene] * 1.0 dict[ele]['mass fraction'] = eleDict[ele] * 1.0 else: #already corrected for concentration for ele in dict.keys(): dict[ele]['weight'] = newweightlist[iene] * eleDict[ele] dict[ele]['mass fraction'] = eleDict[ele] * 1.0 #if ele == "Cl":print "dict[ele]['mass fraction'] ",eleDict[ele] dictList.append(dict) #secondary fluorescence term from next layers if secondary: newweightlist2 = newweightlist * 1 for ilayer2 in range(len(multilayer)): if ilayer2 <= ilayer:continue #get beam intensity at the layer pseudomatrix2 = multilayer[ilayer2] * 1 beamfilter = multilayer[ilayer2-1] * 1 formula = beamfilter[0] thickness = beamfilter[1] * beamfilter[2] coeffs = thickness * numpy.array(getMaterialMassAttenuationCoefficients(formula,1.0,energyList)['total']) try: trans = numpy.exp(-coeffs) except OverflowError: #deal with underflows reported as overflows trans = numpy.zeros(len(energyList), numpy.float) for i in range(len(energyList)): coef = coeffs[i] if coef < 0.0: raise ValueError("Positive exponent in attenuators transmission term") else: try: trans[i] = numpy.exp(-coef) except OverflowError: #if we are here we know it is not an overflow and trans[i] has the proper value pass newweightlist2 = newweightlist2 * trans #get beam2 for iene in range(len(energyList)): energy = energyList[iene] * 1.0 escape = getEscape(pseudomatrix2, energy, alphain = alphain, cascade = True, #up to 20 peaks nthreshold = 20, ithreshold = 1.0e-5, ethreshold = 0.010, fluorescencemode=True) if not len(escape):continue energyList2 = [x[0] for x in escape] weightList2 = numpy.array([x[1] for x in escape]) * newweightlist2[iene] #correct for attenuation in intermediate layers!!! weightList3 = 1.0 * weightList2 for ilayer3 in range(len(multilayer)): if ilayer3 >= ilayer2:continue if ilayer3 <= ilayer: continue #I have an intermediate layer beamfilter = multilayer[ilayer3] * 1 formula = beamfilter[0] thickness = beamfilter[1] * beamfilter[2] coeffs = thickness * numpy.array(getMaterialMassAttenuationCoefficients(formula,1.0,energyList2)['total']) try: trans = numpy.exp(-coeffs) except OverflowError: #deal with underflows reported as overflows trans = numpy.zeros(len(energyList2), numpy.float) for i in range(len(energyList2)): coef = coeffs[i] if coef < 0.0: raise ValueError("Positive exponent in attenuators transmission term") else: try: trans[i] = numpy.exp(-coef) except OverflowError: #if we are here we know it is not an overflow and trans[i] has the proper value pass weightList3 = weightList3 * trans for iene2 in range(len(energyList2)): energy = energyList2[iene2] dict2 = getFluorescence(pseudomatrix, energy, attenuators = workattenuators, alphain = -90., alphaout = alphaout, elementsList = newelementsList, cascade = cascade, detector = workdetector, funnyfilters = workfunnyfilters, userElementDict = userElementDict) if optimized: #give back with concentration 1 #for ele in dict.keys(): for ele in dict2.keys(): dict2[ele]['weight'] = weightList3[iene2] * 1.0 dict2[ele]['mass fraction'] = eleDict[ele] * 1.0 else: #already corrected for concentration #for ele in dict.keys(): for ele in dict2.keys(): dict2[ele]['weight'] = weightList3[iene2] * eleDict[ele] dict2[ele]['mass fraction'] = eleDict[ele] * 1.0 dictList.append(dict2) if optimized: pass else: newelementsList = [[getz(x),x] for x in newelementsList] if fulloutput: result.append(_combineMatrixFluorescenceDict(dictList, newelementsList)) dictListList += dictList #print "total elapsed = ",time.time() - t0 if fulloutput: if optimized: return [_combineMatrixFluorescenceDict(dictListList, elementsList)] + result else: newelementsList = [[getz(x),x] for x in (elementsListFinal + forcedElementsList)] return [_combineMatrixFluorescenceDict(dictListList, newelementsList)] +result else: if optimized: return _combineMatrixFluorescenceDict(dictListList, elementsList) else: newelementsList = [[getz(x),x] for x in (elementsListFinal + forcedElementsList)] return _combineMatrixFluorescenceDict(dictListList, newelementsList) def _combineMatrixFluorescenceDict(dictList, elementsList0): finalDict = {} elementsList = [[x[0], x[1]] for x in elementsList0] for z,ele in elementsList: #print ele finalDict[ele] = {} finalDict[ele]['rates'] = {} finalDict[ele]['mass fraction'] = {} finalDict[ele]['rays']=[] for dict in dictList: if not (ele in dict):continue if not len(dict[ele]['rays']):continue finalDict[ele]['mass fraction'] = dict[ele]['mass fraction'] * 1.0 for key in dict[ele]['rates'].keys(): if key not in finalDict[ele]['rates']: if not ('weight' in dict[ele]): dict[ele]['weight']=dict['weight'] * 1.0 finalDict[ele]['rates'][key] = dict[ele]['rates'][key] * dict[ele]['weight'] else: if not ('weight' in dict[ele]): dict[ele]['weight']=dict['weight'] * 1.0 finalDict[ele]['rates'][key] += dict[ele]['rates'][key] * dict[ele]['weight'] for transitions0 in dict[ele]['rays']: #try to avoid creation of new references transitions = transitions0 * 1 if transitions not in dict[ele]['rates'].keys(): continue if transitions not in finalDict[ele]['rays']: finalDict[ele]['rays'].append(transitions) finalDict[ele][transitions] = [] if not (dict[ele]['weight'] > 0.0): continue else: w = dict[ele]['weight'] for transition0 in dict[ele][transitions]: transition = transition0 * 1 #print ele,"transition = ",transition if not (transition in finalDict[ele]): finalDict[ele][transition] = {'rate':0.0, 'energy':dict[ele][transition]['energy'] * 1} if transition not in finalDict[ele][transitions]: finalDict[ele][transitions].append(transition) if transition not in finalDict[ele].keys(): finalDict[ele][transition] = {'rate':0.0} if transition in dict[ele]: if transition in finalDict[ele]: finalDict[ele][transition]['rate'] += w * dict[ele][transition]['rate'] else: finalDict[ele][transition] = {} finalDict[ele][transition]['rate'] = w * dict[ele][transition]['rate'] else: print(dict[ele][transitions]) print(transition) print("is this an error?") sys.exit(0) return finalDict def getScattering(matrix, energy, attenuators = None, alphain = None, alphaout = None, elementsList = None, cascade=None, detector=None): if alphain is None: alphain = 45.0 if alphaout is None: alphaout = 45.0 sinAlphaIn = numpy.sin(alphain * (numpy.pi)/180.) sinAlphaOut = numpy.sin(alphaout * (numpy.pi)/180.) if attenuators is None: attenuators = [] if len(attenuators): if type(attenuators[0]) != type([]): attenuators=[attenuators] if detector is not None: if type(detector) != type([]): raise TypeError("Detector must be a list as [material, density, thickness]") elif len(detector) != 3: raise ValueError("Detector must have the form [material, density, thickness]") if energy is None: raise ValueError("Invalid Energy") if elementsList is None: #get material elements and concentrations eleDict = getMaterialMassFractions([matrix[0]], [1.0]) if eleDict == {}: return {} #sort the elements according to atomic number (not needed because the output will be a dictionnary) keys = eleDict.keys() elementsList = [[getz(x),x] for x in keys] elementsList.sort() else: if (type(elementsList) != type([])) and (type(elementsList) != types.TupleType): elementsList = [elementsList] elementsList = [[getz(x),x] for x in elementsList] elementsList.sort() eleDict = {} for z, ele in elementsList: eleDict[ele] = 1.0 if energy <= 0.10: raise ValueError("Invalid Energy %.5g keV" % energy) #do the job outputDict = {} for z,ele in elementsList: outputDict[ele] ={} outputDict[ele]['mass fraction'] = eleDict[ele] outputDict[ele]['rates'] = {} outputDict[ele]['rays'] = ['Coherent','Compton'] for rays in outputDict[ele]['rays']: theta = alphain + alphaout outputDict[ele][rays] = {} if rays == 'Coherent': outputDict[ele][rays]['energy'] = energy rates=[getElementCoherentDifferentialCrossSection(ele, theta, energy)] else: outputDict[ele][rays]['energy'] = IncoherentScattering.getComptonScatteringEnergy(energy, theta) rates=[getElementComptonDifferentialCrossSection(ele, theta, energy)] ene = outputDict[ele][rays]['energy'] energies =[ene] #I do not know if to include this loop in the previous one (because rates are 0.0 sometimes) #attenuators for attenuator in attenuators: formula = attenuator[0] thickness = attenuator[1] * attenuator[2] coeffs = thickness * numpy.array(getMaterialMassAttenuationCoefficients(formula,1.0,energies)['total']) try: trans = numpy.exp(-coeffs) except OverflowError: #deal with underflows reported as overflows trans = numpy.zeros(len(energies), numpy.float) for i in range(len(energies)): coef = coeffs[i] if coef < 0.0: raise ValueError("Positive exponent in attenuators transmission term") else: try: trans[i] = numpy.exp(-coef) except OverflowError: #if we are here we know it is not an overflow and trans[i] has the proper value pass trans = trans for i in range(len(rates)): rates[i] *= trans[i] #detector term if detector is not None: formula = detector[0] thickness = detector[1] * detector[2] coeffs = thickness * numpy.array(getMaterialMassAttenuationCoefficients(formula,1.0,energies)['total']) try: trans = (1.0 - numpy.exp(-coeffs)) except OverflowError: #deal with underflows reported as overflows trans = numpy.ones(len(rates), numpy.float) for i in range(len(rates)): coef = coeffs[i] if coef < 0.0: raise ValueError("Positive exponent in attenuators transmission term") else: try: trans[i] = 1.0 - numpy.exp(-coef) except OverflowError: #if we are here we know it is not an overflow and trans[i] has the proper value pass for i in range(len(rates)): rates[i] *= trans[i] #matrix term formula = matrix[0] thickness = matrix[1] * matrix[2] energies += [energy] allcoeffs = getMaterialMassAttenuationCoefficients(formula,1.0,energies) mutotal = allcoeffs['total'] del energies[-1] i = 0 if 1: #thick target term trans = outputDict[ele]['mass fraction'] * 1.0/(mutotal[-1] + mutotal[i] * (sinAlphaIn/sinAlphaOut)) #correction term if thickness > 0.0: if abs(sinAlphaIn) > 0.0: try: expterm = numpy.exp(-((mutotal[-1]/sinAlphaIn) +(mutotal[i]/sinAlphaOut)) * thickness) except OverflowError: if -((mutotal[-1]/sinAlphaIn) +(mutotal[i]/sinAlphaOut)) * thickness > 0.0: raise ValueError("Positive exponent in transmission term") expterm = 0.0 trans *= (1.0 - expterm) #if ele == 'Pb': # oldRatio.append(newpeaks[i][0]) # print "energy = %.3f ratio=%.5f transmission = %.5g final=%.5g" % (newpeaks[i][1], newpeaks[i][0],trans,trans * newpeaks[i][0]) rates[i] *= trans outputDict[ele][rays]['rate'] = rates[i] outputDict[ele]['rates'][rays] = sum(rates) #outputDict[ele][rays]= Element[ele]['rays'] * 1 return outputDict def getFluorescence(matrix, energy, attenuators = None, alphain = None, alphaout = None, elementsList = None, cascade=None, detector=None, funnyfilters=None, userElementDict=None, matrixmutotalfluorescence=None, matrixmutotalexcitation=None): """ getFluorescence(matrixlist, energy, attenuators = None, alphain = None, alphaout = None, elementsList = None, cascade=None, detector=None) matrixlist is a list of the form [material, density, thickness] energy is the incident beam energy attenuators is a list of the form [[material1, density1, thickness1],....] alphain is the incoming beam angle with sample surface alphaout is the outgoing beam angle with sample surface if a given elements list is given, the fluorescence rate will be calculated for ONLY for those elements without taking into account if they are present in the matrix and considering a mass fraction of 1 to all of them. This should allow a program to fit directly concentrations. cascade is a flag to consider vacancy propagation (it is a crude approximation) detector is just one attenuator more but treated as (1 - Transmission) [material, density, thickness] These formulae are strictly valid only for parallel beams. Needs to be corrected for detector efficiency (at least solid angle) and incoming intensity. Secondary transitions are neglected. """ if alphain is None: alphain = 45.0 if alphaout is None: alphaout = 45.0 if userElementDict is None:userElementDict = {} bottomExcitation = False if (alphain < 0.0) and (alphaout < 0.0): #it is the same sinAlphaIn = numpy.sin(-alphain * (numpy.pi)/180.) sinAlphaOut = numpy.sin(-alphaout * (numpy.pi)/180.) elif (alphain < 0.0) and (alphaout > 0.0): #bottom excitation #print "bottom excitation case" bottomExcitation = True sinAlphaIn = numpy.sin(-alphain * (numpy.pi)/180.) sinAlphaOut = numpy.sin(alphaout * (numpy.pi)/180.) else: sinAlphaIn = numpy.sin(alphain * (numpy.pi)/180.) sinAlphaOut = numpy.sin(alphaout * (numpy.pi)/180.) if cascade is None:cascade=False if attenuators is None: attenuators = [] if len(attenuators): if type(attenuators[0]) != type([]): attenuators=[attenuators] if funnyfilters is None: funnyfilters = [] if len(funnyfilters): if type(funnyfilters[0]) != type([]): funnyfilters=[funnyfilters] if detector is not None: if type(detector) != type([]): raise TypeError(\ "Detector must be a list as [material, density, thickness]") elif len(detector) != 3: raise ValueError(\ "Detector must have the form [material, density, thickness]") if energy is None: raise ValueError("Invalid Energy") elementsRays = None if elementsList is None: #get material elements and concentrations eleDict = getMaterialMassFractions([matrix[0]], [1.0]) if eleDict == {}: return {} #sort the elements according to atomic number #(not needed because the output will be a dictionnary) keys = eleDict.keys() elementsList = [[getz(x),x] for x in keys] elementsList.sort() else: if (type(elementsList) != type([])) and\ (type(elementsList) != types.TupleType): elementsList = [elementsList] if len(elementsList[0]) == 3: raysforloopindex = 0 elementsList.sort() elementsRays = [x[2] for x in elementsList] elementsList = [[x[0],x[1]] for x in elementsList] else: elementsList = [[getz(x),x] for x in elementsList] elementsList.sort() eleDict = {} for z, ele in elementsList: eleDict[ele] = 1.0 if energy <= 0.10: raise ValueError("Invalid Energy %.5g keV" % energy) #do the job outputDict = {} shelllist = ['K', 'L1', 'L2', 'L3','M1', 'M2', 'M3', 'M4', 'M5'] for z,ele in elementsList: #use own unfiltered dictionnary if ele in userElementDict: elementDict = userElementDict[ele] else: elementDict = _getUnfilteredElementDict(ele, energy) if not (ele in outputDict): outputDict[ele] ={} outputDict[ele]['mass fraction'] = eleDict[ele] if not ('rates' in outputDict[ele]): outputDict[ele]['rates'] = {} #get the fluorescence term for all shells fluoWeights = _getFluorescenceWeights(ele, energy, normalize = False, cascade=cascade) outputDict[ele]['rays'] = elementDict['rays'] * 1 if elementsRays is None: raysforloop = elementDict['rays'] else: if type(elementsRays[raysforloopindex]) != type([]): raysforloop = [elementsRays[raysforloopindex] + " xrays"] else: raysforloop = [] for item in elementsRays[raysforloopindex]: raysforloop.append(item + " xrays") raysforloopindex +=1 for rays in raysforloop: if rays not in elementDict['rays']:continue outputDict[ele][rays] = [] rates = [] energies = [] transitions = elementDict[rays] for transition in transitions: outputDict[ele][rays] += [transition] outputDict[ele][transition]={} outputDict[ele][transition]['rate'] = 0.0 if transition[0] == "K": rates.append(fluoWeights[0] * elementDict[transition]['rate']) else: rates.append(fluoWeights[shelllist.index(transition[0:2])] * elementDict[transition]['rate']) ene = elementDict[transition]['energy'] energies += [ene] outputDict[ele][transition]['energy'] = ene #I do not know if to include this loop in the previous one (because rates are 0.0 sometimes) #attenuators coeffs = numpy.zeros(len(energies), numpy.float) for attenuator in attenuators: formula = attenuator[0] thickness = attenuator[1] * attenuator[2] coeffs += thickness * numpy.array(getMaterialMassAttenuationCoefficients(formula,1.0,energies)['total']) try: trans = numpy.exp(-coeffs) except OverflowError: for coef in coeffs: if coef < 0.0: raise ValueError("Positive exponent in attenuators transmission term") trans = 0.0 * coeffs #funnyfilters coeffs = numpy.zeros(len(energies), numpy.float) funnyfactor = None for attenuator in funnyfilters: formula = attenuator[0] thickness = attenuator[1] * attenuator[2] if funnyfactor is None: funnyfactor = attenuator[3] else: if abs(attenuator[3] - funnyfactor) > 0.0001: raise ValueError(\ "All funny type filters must have same openning fraction") coeffs += thickness * numpy.array(getMaterialMassAttenuationCoefficients(formula,1.0,energies)['total']) if funnyfactor is None: for i in range(len(rates)): rates[i] *= trans[i] else: try: transFunny = funnyfactor * numpy.exp(-coeffs) +\ (1.0 - funnyfactor) except OverflowError: #deal with underflows reported as overflows transFunny = numpy.zeros(len(energies), numpy.float) for i in range(len(energies)): coef = coeffs[i] if coef < 0.0: raise ValueError(\ "Positive exponent in funnyfilters transmission term") else: try: transFunny[i] = numpy.exp(-coef) except OverflowError: #if we are here we know it is not an overflow and trans[i] has the proper value pass transFunny = funnyfactor * transFunny + \ (1.0 - funnyfactor) for i in range(len(rates)): rates[i] *= (trans[i] * transFunny[i]) #detector term if detector is not None: formula = detector[0] thickness = detector[1] * detector[2] coeffs = thickness * numpy.array(getMaterialMassAttenuationCoefficients(formula,1.0,energies)['total']) try: trans = (1.0 - numpy.exp(-coeffs)) except OverflowError: #deal with underflows reported as overflows trans = numpy.ones(len(rates), numpy.float) for i in range(len(rates)): coef = coeffs[i] if coef < 0.0: raise ValueError(\ "Positive exponent in attenuators transmission term") else: try: trans[i] = 1.0 - numpy.exp(-coef) except OverflowError: #if we are here we know it is not an overflow and trans[i] has the proper value pass for i in range(len(rates)): rates[i] *= trans[i] #matrix term formula = matrix[0] thickness = matrix[1] * matrix[2] energies += [energy] if matrixmutotalfluorescence is None: allcoeffs = getMaterialMassAttenuationCoefficients(formula,1.0,energies) mutotal = allcoeffs['total'] else: mutotal = matrixmutotalfluorescence * 1 if matrixmutotalexcitation is None: mutotal.append(getMaterialMassAttenuationCoefficients(formula, 1.0, energy)['total'][0]) else: mutotal.append(matrixmutotalexcitation) #muphoto = allcoeffs['photo'] muphoto = getMaterialMassAttenuationCoefficients(ele,1.0,energy)['photo'] del energies[-1] i = 0 for transition in transitions: #thick target term if rates[i] <= 0.0:trans=0.0 else: if bottomExcitation: denominator = (mutotal[-1] - mutotal[i] * (sinAlphaIn/sinAlphaOut)) if denominator == 0.0: trans = thickness/sinAlphaIn trans = -outputDict[ele]['mass fraction'] *\ muphoto[-1] * trans *\ numpy.exp(-trans*mutotal[-1]) else: trans = -outputDict[ele]['mass fraction'] *\ muphoto[-1]/denominator #correction term if thickness > 0.0: try: expterm = numpy.exp(-(mutotal[-1]/sinAlphaIn) * thickness) -\ numpy.exp(-(mutotal[i]/sinAlphaOut) * thickness) except OverflowError: #print "overflow" if ((-(mutotal[-1]/sinAlphaIn) * thickness) > 0.0) or\ ((-(mutotal[i]/sinAlphaOut) * thickness) > 0.0): raise ValueError("Positive exponent in transmission term") expterm = 0.0 trans *= expterm else: raise ValueError("Incorrect target density and/or thickness") if trans < 0.0: print("trans lower than 0.0. Reset to 0.0") trans = 0.0 else: trans = outputDict[ele]['mass fraction'] *\ muphoto[-1]/(mutotal[-1] + mutotal[i] * (sinAlphaIn/sinAlphaOut)) #correction term if thickness > 0.0: if abs(sinAlphaIn) > 0.0: try: expterm = numpy.exp(-((mutotal[-1]/sinAlphaIn) +(mutotal[i]/sinAlphaOut)) * thickness) except OverflowError: #print "overflow" if -((mutotal[-1]/sinAlphaIn) +(mutotal[i]/sinAlphaOut)) * thickness > 0.0: raise ValueError(\ "Positive exponent in transmission term") expterm = 0.0 trans *= (1.0 - expterm) #if ele == 'Pb': # oldRatio.append(newpeaks[i][0]) # print "energy = %.3f ratio=%.5f transmission = %.5g final=%.5g" % (newpeaks[i][1], newpeaks[i][0],trans,trans * newpeaks[i][0]) rates[i] *= trans outputDict[ele][transition]['rate'] = rates[i] i += 1 outputDict[ele]['rates'][rays] = sum(rates) #outputDict[ele][rays]= Element[ele]['rays'] * 1 return outputDict def getLWeights(ele,energy=None, normalize = None, shellist = None): if normalize is None:normalize = True if shellist is None: shellist = ['L1', 'L2', 'L3'] if type(ele) == type(" "): pass else: ele = getsymbol(int(ele)) if energy is None: #Use the L shell jumps w = getLJumpWeight(ele,excitedshells=[1.0,1.0,1.0]) #weights due to Coster Kronig transitions and fluorescence yields ck= LShell.getCosterKronig(ele) w[0] = w[0] w[1] = w[1] + ck['f12'] * w[0] w[2] = w[2] + ck['f13'] * w[0] + ck['f23'] * w[1] omega = [ getomegal1(ele), getomegal2(ele), getomegal3(ele)] for i in range(len(w)): w[i] *= omega[i] else: #Take into account the cascade as in the getFluorescence method #The PyMCA fit was already using that when there was a matrix but #it was not shown in the Elements Info window. allweights = _getFluorescenceWeights(ele, energy, normalize = False, cascade = True) w = allweights[1:4] if normalize: cum = sum(w) if cum > 0.0: for i in range(len(w)): w[i] /= cum return w def getMWeights(ele,energy=None, normalize = None, shellist = None): if normalize is None:normalize = True if shellist is None: shellist = ['M1', 'M2', 'M3', 'M4', 'M5'] if type(ele) == type(" "): pass else: ele = getsymbol(int(ele)) if energy is None: w = getMJumpWeight(ele,excitedshells=[1.0,1.0,1.0,1.0,1.0]) #weights due to Coster Kronig transitions and fluorescence yields ck= MShell.getCosterKronig(ele) w[0] = w[0] w[1] = w[1] + ck['f12'] * w[0] w[2] = w[2] + ck['f13'] * w[0] + ck['f23'] * w[1] w[3] = w[3] + ck['f14'] * w[0] + ck['f24'] * w[1] + ck['f34'] * w[2] w[4] = w[4] + ck['f15'] * w[0] + ck['f25'] * w[1] + ck['f35'] * w[2] + ck['f45'] * w[3] omega = [ getomegam1(ele), getomegam2(ele), getomegam3(ele), getomegam4(ele), getomegam5(ele)] for i in range(len(w)): w[i] *= omega[i] else: #Take into account the cascade as in the getFluorescence method #The PyMCA fit was already using that when there was a matrix but #it was not shown in the Elements Info window. allweights = _getFluorescenceWeights(ele, energy, normalize = False, cascade = True) w = allweights[4:9] if normalize: cum = sum(w) for i in range(len(w)): if cum > 0.0: w[i] /= cum return w def getxrayenergy(symbol,transition): if len(symbol) > 1: ele = symbol[0].upper() + symbol[1].lower() else: ele = symbol.upper() trans = transition.upper() z = getz(ele) if z > len(ElementBinding): #Give the bindings of the last element energies = ElementBinding[-1] else: energies = ElementBinding[z-1] if len(trans) == 2: trans=trans[0:2]+'2' if trans[0:1] == 'K': i=1 emax = energies[ElementShells.index('K')+1] elif trans[0:2] in ElementShells: i=2 emax = energies[ElementShells.index(trans[0:2])+1] else: #print transition #print "Shell %s not in Element %s Shells" % (trans[0:2], ele) return -1 if trans[i:i+2] in ElementShells: emin = energies[ElementShells.index(trans[i:i+2])+1] else: if (z > 80) and (trans[i:i+2] == "Q1"): emin = 0.003 else: #print "HERE ",trans[i:i+2],transition,z #print "Final shell %s not in Element %s Shells" % (trans[i:i+1], ele) return -1 if emin > emax: if z != 13: print("Warning, negative energy!") print("Please report this message:") print("Symbol=",symbol) print("emin = ",emin) print("emax = ",emax) print("z = ",z) print("transition = ",transition) print("the transition will be ignored") return emax - emin def isValidFormula(compound): #Avoid Fe 2 or Fe-2 or SRM-1832 being considered as valid formulae for c in [" ", "-", "_"]: if c in compound: return False #single element case if compound in Element.keys():return True try: elts= [ w for w in re.split('[0-9]', compound) if w != '' ] nbs= [ int(w) for w in re.split('[a-zA-Z]', compound) if w != '' ] except: return False if len(elts)==1 and len(nbs)==0: if type(elts) == type([]): return False if elts in Element.keys(): return True else: return False if (len(elts)==0 and len(nbs)==0) or (len(elts) != len(nbs)):return False return True def isValidMaterial(compound): if compound in Material.keys():return True elif isValidFormula(compound):return True else:return False def getMaterialKey(compound): matkeys = Material.keys() if compound in matkeys:return compound compoundHigh = compound.upper() matkeysHigh = [] for key in matkeys: matkeysHigh.append(key.upper()) if compoundHigh in matkeysHigh: index = matkeysHigh.index(compoundHigh) return matkeys[index] return None def getmassattcoef(compound, energy=None): """ Usage: getmassattcoef(element symbol/composite, energy in kev) Computes mass attenuation coefficients for a single element or a compound. It gets the info from files generated by XCOM If energy is not given, it gives back a dictionary with the form: dict['energy'] = [energies] dict['coherent'] = [coherent scattering cross section(energies)] dict['compton'] = [incoherent scattering cross section(energies)] dict['photo'] = [photoelectic effect cross section(energies)] dict['pair'] = [pair production cross section(energies)] dict['total'] = [total cross section] A compound is defined with a string as follow: 'C22H10N2O5' means 22 * C, 10 * H, 2 * N, 5 * O xsection = SUM(xsection(zi)*ni*ai) / SUM(ai*ni) zi = Z of each element ni = number of element zi ai = atomic weight of element zi Result in cm2/g """ #single element case if compound in Element.keys(): return getelementmassattcoef(compound,energy) elts= [ w for w in re.split('[0-9]', compound) if w != '' ] nbs= [ int(w) for w in re.split('[a-zA-Z]', compound) if w != '' ] if len(elts)==1 and len(nbs)==0: if elts in Element.keys(): return getelementmassattcoef(compound,energy) else: return {} if (len(elts)==0 and len(nbs)==0) or (len(elts) != len(nbs)): return {} fraction = [Element[elt]['mass'] *nb for (elt, nb) in zip(elts, nbs) ] div = sum(fraction) fraction = [x/div for x in fraction] #print "fraction = ",fraction ddict={} ddict['energy'] = [] ddict['coherent'] = [] ddict['compton'] = [] ddict['photo'] = [] ddict['pair'] = [] ddict['total'] = [] eltindex = 0 if energy is None: energy=[] for ele in elts: xcom_data = getelementmassattcoef(ele,None)['energy'] for ene in xcom_data: if ene not in energy: energy.append(ene) energy.sort() for ele in elts: xcom_data = getelementmassattcoef(ele,None) #now I have to interpolate at the different energies if not hasattr(energy, "__len__"): energy =[energy] eneindex = 0 for ene in energy: if ene < 1.0: if PyMcaEPDL97.EPDL97_DICT[ele]['original']: #make sure the binding energies are those used by this module and not EADL ones PyMcaEPDL97.setElementBindingEnergies(ele, Element[ele]['binding']) tmpDict = PyMcaEPDL97.getElementCrossSections(ele, ene) cohe = tmpDict['coherent'][0] comp = tmpDict['compton'][0] photo = tmpDict['photo'][0] pair = 0.0 else: i0=max(numpy.nonzero(xcom_data['energy'] <= ene)[0]) i1=min(numpy.nonzero(xcom_data['energy'] >= ene)[0]) if (i1 == i0) or (i0>i1): cohe=xcom_data['coherent'][i1] comp=xcom_data['compton'][i1] photo=xcom_data['photo'][i1] pair=xcom_data['pair'][i1] else: if LOGLOG: A=xcom_data['energylog10'][i0] B=xcom_data['energylog10'][i1] logene = numpy.log10(ene) c2=(logene-A)/(B-A) c1=(B-logene)/(B-A) else: A=xcom_data['energy'][i0] B=xcom_data['energy'][i1] c2=(ene-A)/(B-A) c1=(B-ene)/(B-A) cohe= pow(10.0,c2*xcom_data['coherentlog10'][i1]+\ c1*xcom_data['coherentlog10'][i0]) comp= pow(10.0,c2*xcom_data['comptonlog10'][i1]+\ c1*xcom_data['comptonlog10'][i0]) photo=pow(10.0,c2*xcom_data['photolog10'][i1]+\ c1*xcom_data['photolog10'][i0]) if xcom_data['pair'][i1] > 0.0: c2 = c2*numpy.log10(xcom_data['pair'][i1]) if xcom_data['pair'][i0] > 0.0: c1 = c1*numpy.log10(xcom_data['pair'][i0]) pair = pow(10.0,c1+c2) else: pair =0.0 else: pair =0.0 if eltindex == 0: ddict['energy'].append(ene) ddict['coherent'].append(cohe *fraction[eltindex]) ddict['compton'].append(comp *fraction[eltindex]) ddict['photo'].append(photo *fraction[eltindex]) ddict['pair'].append(pair*fraction[eltindex]) ddict['total'].append((cohe+comp+photo+pair)*fraction[eltindex]) else: ddict['coherent'][eneindex] += cohe *fraction[eltindex] ddict['compton'] [eneindex] += comp *fraction[eltindex] ddict['photo'] [eneindex] += photo *fraction[eltindex] ddict['pair'] [eneindex] += pair *fraction[eltindex] ddict['total'] [eneindex] += (cohe+comp+photo+pair) * fraction[eltindex] eneindex += 1 eltindex += 1 return ddict def __materialInCompoundList(lst): for item in lst: if item in Material.keys(): return True return False def getMaterialTransmission(compoundList0, fractionList0, energy0 = None, density=None, thickness=None, listoutput=True): """ Usage: getMaterialTransmission(compoundList, fractionList, energy = None, density=None, thickness=None): Input compoundlist - List of elements, compounds or materials fractionlist - List of floats indicating the amount of respective material energy - Photon energy (it can be a list) density - Density in g/cm3 (default is 1.0) thickness - Thickness in cm (default is 1.0) The product density * thickness has to be in g/cm2 Output Detailed dictionary. """ if density is None: density = 1.0 if thickness is None: thickness = 1.0 dict = getMaterialMassAttenuationCoefficients(compoundList0, fractionList0, energy0) energy = numpy.array(dict['energy'],numpy.float) mu = numpy.array(dict['total'],numpy.float) * density * thickness if energy0 is not None: if type(energy0) != type([]): listoutput = False if listoutput: dict['energy'] = energy.tolist() dict['density'] = density dict['thickness'] = thickness dict['transmission'] = numpy.exp(-mu).tolist() else: dict['energy'] = energy dict['density'] = density dict['thickness'] = thickness dict['transmission'] = numpy.exp(-mu) return dict def getMaterialMassFractions(compoundList0, fractionList0): return getMaterialMassAttenuationCoefficients(compoundList0, fractionList0, None, massfractions=True) def getMaterialMassAttenuationCoefficients(compoundList0, fractionList0, energy0 = None,massfractions=False): """ Usage: getMaterialMassAttenuationCoefficients(compoundList, fractionList, energy = None,massfractions=False) compoundList - List of compounds into the material fractionList - List of masses of each compound energy - Energy at which the values are desired massfractions- Flag to supply mass fractions on output """ if type(compoundList0) != type([]): compoundList = [compoundList0] else: compoundList = compoundList0 if type(fractionList0) == numpy.ndarray: fractionList = fractionList0.tolist() elif type(fractionList0) != type([]): fractionList = [fractionList0] else: fractionList = fractionList0 fractionList = [float(x) for x in fractionList] while __materialInCompoundList(compoundList): total=sum(fractionList) compoundFractionList = [x/total for x in fractionList] #allow materials in compoundList newcompound = [] newfraction = [] deleteitems = [] for compound in compoundList: if compound in Material.keys(): if type(Material[compound]['CompoundList']) != type([]): Material[compound]['CompoundList']=[Material[compound]['CompoundList']] if type(Material[compound]['CompoundFraction']) != type([]): Material[compound]['CompoundFraction']=[Material[compound]['CompoundFraction']] Material[compound]['CompoundFraction'] = [float(x) for x in Material[compound]['CompoundFraction']] total = sum(Material[compound]['CompoundFraction']) j = compoundList.index(compound) compoundfraction = fractionList[j] i = 0 for item in Material[compound]['CompoundList']: newcompound.append(item) newfraction.append(Material[compound]['CompoundFraction'][i] * compoundfraction /total) i += 1 deleteitems.append(j) if len(deleteitems): deleteitems.reverse() for i in deleteitems: del compoundList[i] del fractionList[i] for i in range(len(newcompound)): compoundList.append(newcompound[i]) fractionList.append(newfraction[i]) total=sum(fractionList) compoundFractionList = [float(x)/total for x in fractionList] materialElements = {} energy = energy0 if energy0 is not None: if type(energy0) == type(2.): energy = [energy0] elif type(energy0) == type(1): energy = [1.0 * energy0] elif type(energy0) == numpy.ndarray: energy = energy0.tolist() for compound in compoundList: elts=[] #get energy list if compound in Element.keys(): elts=[compound] nbs =[1] else: elts= [ w for w in re.split('[0-9]', compound) if w != '' ] try: nbs= [ int(w) for w in re.split('[a-zA-Z]', compound) if w != '' ] except: raise ValueError("Compound '%s' not understood" % compound) if len(elts)==1 and len(nbs)==0: elts=[compound] nbs =[1] if (len(elts)==0 and len(nbs)==0) or (len(elts) != len(nbs)): print("compound %s not understood" % compound) raise ValueError("compound %s not understood" % compound) #the proportion of the element in that compound times the compound fraction fraction = [Element[elt]['mass'] *nb for (elt, nb) in zip(elts, nbs) ] div = compoundFractionList[compoundList.index(compound)]/sum(fraction) fraction = [x * div for x in fraction] if energy is None: #get energy list energy = [] for ele in elts: xcom_data = getelementmassattcoef(ele,None)['energy'] for ene in xcom_data: if ene not in energy: energy.append(ene) for ele in elts: if ele not in materialElements.keys(): materialElements[ele] = fraction[elts.index(ele)] else: materialElements[ele] += fraction[elts.index(ele)] if massfractions == True: return materialElements if energy0 is None: energy.sort() #I have the energy grid, the elements and their fractions dict={} dict['energy'] = [] dict['coherent'] = [] dict['compton'] = [] dict['photo'] = [] dict['pair'] = [] dict['total'] = [] eltindex = 0 for ele in materialElements.keys(): if 'xcom' in Element[ele]: xcom_data = Element[ele]['xcom'] else: xcom_data = getelementmassattcoef(ele,None) #now I have to interpolate at the different energies if (type(energy) != type([])): energy =[energy] eneindex = 0 for ene in energy: if ene < 1.0: if PyMcaEPDL97.EPDL97_DICT[ele]['original']: #make sure the binding energies are those used by this module and not EADL ones PyMcaEPDL97.setElementBindingEnergies(ele, Element[ele]['binding']) tmpDict = PyMcaEPDL97.getElementCrossSections(ele, ene) cohe = tmpDict['coherent'][0] comp = tmpDict['compton'][0] photo = tmpDict['photo'][0] pair = 0.0 else: i0=max(numpy.nonzero(xcom_data['energy'] <= ene)[0]) i1=min(numpy.nonzero(xcom_data['energy'] >= ene)[0]) if (i1 == i0) or (i0>i1): cohe=xcom_data['coherent'][i1] comp=xcom_data['compton'][i1] photo=xcom_data['photo'][i1] pair=xcom_data['pair'][i1] else: if LOGLOG: A=xcom_data['energylog10'][i0] B=xcom_data['energylog10'][i1] logene = numpy.log10(ene) c2=(logene-A)/(B-A) c1=(B-logene)/(B-A) else: A=xcom_data['energy'][i0] B=xcom_data['energy'][i1] c2=(ene-A)/(B-A) c1=(B-ene)/(B-A) cohe= pow(10.0,c2*xcom_data['coherentlog10'][i1]+\ c1*xcom_data['coherentlog10'][i0]) comp= pow(10.0,c2*xcom_data['comptonlog10'][i1]+\ c1*xcom_data['comptonlog10'][i0]) photo=pow(10.0,c2*xcom_data['photolog10'][i1]+\ c1*xcom_data['photolog10'][i0]) if xcom_data['pair'][i1] > 0.0: c2 = c2*numpy.log10(xcom_data['pair'][i1]) if xcom_data['pair'][i0] > 0.0: c1 = c1*numpy.log10(xcom_data['pair'][i0]) pair = pow(10.0,c1+c2) else: pair =0.0 else: pair =0.0 if eltindex == 0: dict['energy'].append(ene) dict['coherent'].append(cohe * materialElements[ele]) dict['compton'].append(comp * materialElements[ele]) dict['photo'].append(photo * materialElements[ele]) dict['pair'].append(pair* materialElements[ele]) dict['total'].append((cohe+comp+photo+pair)* materialElements[ele]) else: dict['coherent'][eneindex] += cohe * materialElements[ele] dict['compton'] [eneindex] += comp * materialElements[ele] dict['photo'] [eneindex] += photo * materialElements[ele] dict['pair'] [eneindex] += pair * materialElements[ele] dict['total'] [eneindex] += (cohe+comp+photo+pair) * materialElements[ele] eneindex += 1 eltindex += 1 return dict def getcandidates(energy,threshold=None,targetrays=None): if threshold is None: threshold = 0.010 if targetrays is None: targetrays=['K', 'L1', 'L2', 'L3', 'M'] if type(energy) != type([]): energy = [energy] if type(targetrays) != type([]): targetrays = [targetrays] #K lines lines ={} index = 0 for ene in energy: lines[index] = {'energy':ene, 'elements':[]} for ele in ElementList: for ray in targetrays: rays = ray + " xrays" if 'rays' in Element[ele]: for transition in Element[ele][rays]: e = Element[ele][transition]['energy'] r = Element[ele][transition]['rate'] if abs(ene-e) < threshold: if ele not in lines[index]['elements']: lines[index]['elements'].append(ele) lines[index][ele]=[] lines[index][ele].append([transition, e, r]) index += 1 return lines def getElementFormFactor(ele, theta, energy): if ele in CoherentScattering.COEFFICIENTS.keys(): return CoherentScattering.getElementFormFactor(ele, theta, energy) else: try: z = int(ele) ele = getsymbol(z) return CoherentScattering.getElementFormFactor(ele, theta, energy) except: raise ValueError("Unknown element %s" % ele) def getElementCoherentDifferentialCrossSection(ele, theta, energy, p1=None): #if ele in CoherentScattering.COEFFICIENTS.keys(): if ele in ElementList: value=CoherentScattering.\ getElementCoherentDifferentialCrossSection(ele, theta, energy, p1) else: try: z = int(ele) ele = getsymbol(z) value=CoherentScattering.\ getElementCoherentDifferentialCrossSection(ele, theta, energy, p1) except: raise ValueError("Unknown element %s" % ele) #convert from cm2/atom to cm2/g return (value * AVOGADRO_NUMBER)/ Element[ele]['mass'] def getElementIncoherentScatteringFunction(ele, theta, energy): if ele in ElementList: value = IncoherentScattering.\ getElementIncoherentScatteringFunction(ele, theta, energy) else: try: z = int(ele) ele = getsymbol(z) value = IncoherentScattering.\ getElementIncoherentScatteringFunction(ele, theta, energy) except: raise ValueError("Unknown element %s" % ele) return value def getElementComptonDifferentialCrossSection(ele, theta, energy, p1=None): if ele in ElementList: value = IncoherentScattering.\ getElementComptonDifferentialCrossSection(ele, theta, energy, p1) else: try: z = int(ele) ele = getsymbol(z) value = IncoherentScattering.\ getElementComptonDifferentialCrossSection(ele, theta, energy, p1) except: raise ValueError("Unknown element %s" % ele) return (value * 6.022142E23)/ Element[ele]['mass'] def getelementmassattcoef(ele,energy=None): """ Usage: getelementmassattcoef(element symbol, energy in kev) It gets the info from files generated by XCOM If energy is not given, it gives back a dictionary with the form: dict['energy'] = [energies] dict['coherent'] = [coherent scattering cross section(energies)] dict['compton'] = [incoherent scattering cross section(energies)] dict['photo'] = [photoelectic effect cross section(energies)] dict['pair'] = [pair production cross section(energies)] dict['total'] = [total cross section] """ if 'xcom' not in Element[ele].keys(): dirmod = PyMcaDataDir.PYMCA_DATA_DIR #read xcom file #print dirmod+"/"+ele+".mat" xcomfile = os.path.join(dirmod, "attdata") xcomfile = os.path.join(xcomfile, ele+".mat") if not os.path.exists(xcomfile): #freeze does bad things with the path ... dirmod = os.path.dirname(dirmod) xcomfile = os.path.join(dirmod, "attdata") xcomfile = os.path.join(xcomfile, ele+".mat") if dirmod.lower().endswith(".zip"): dirmod = os.path.dirname(dirmod) xcomfile = os.path.join(dirmod, "attdata") xcomfile = os.path.join(xcomfile, ele+".mat") if not os.path.exists(xcomfile): print("Cannot find file ",xcomfile) raise IOError("Cannot find %s" % xcomfile) f = open(xcomfile, 'r') line=f.readline() while (line.split('ENERGY')[0] == line): line = f.readline() Element[ele]['xcom'] = {} Element[ele]['xcom']['energy'] =[] Element[ele]['xcom']['coherent'] =[] Element[ele]['xcom']['compton'] =[] Element[ele]['xcom']['photo'] =[] Element[ele]['xcom']['pair'] =[] Element[ele]['xcom']['total'] =[] line = f.readline() while (line.split('COHERENT')[0] == line): line = line.split() for value in line: Element[ele]['xcom']['energy'].append(float(value)*1000.) line = f.readline() Element[ele]['xcom']['energy']=numpy.array(Element[ele]['xcom']['energy']) line = f.readline() while (line.split('INCOHERENT')[0] == line): line = line.split() for value in line: Element[ele]['xcom']['coherent'].append(float(value)) line = f.readline() Element[ele]['xcom']['coherent']=numpy.array(Element[ele]['xcom']['coherent']) line = f.readline() while (line.split('PHOTO')[0] == line): line = line.split() for value in line: Element[ele]['xcom']['compton'].append(float(value)) line = f.readline() Element[ele]['xcom']['compton']=numpy.array(Element[ele]['xcom']['compton']) line = f.readline() while (line.split('PAIR')[0] == line): line = line.split() for value in line: Element[ele]['xcom']['photo'].append(float(value)) line = f.readline() line = f.readline() while (line.split('PAIR')[0] == line): line = line.split() for value in line: Element[ele]['xcom']['pair'].append(float(value)) line = f.readline() i = 0 line = f.readline() while (len(line)): line = line.split() for value in line: Element[ele]['xcom']['pair'][i] += float(value) i += 1 line = f.readline() if sys.version >= '3.0': # next line gave problems under under windows # just try numpy.argsort([1,1,1,1,1]) under linux and windows to see # what I mean # i1=numpy.argsort(Element[ele]['xcom']['energy']) did not work # (uses quicksort and gives problems with Pb not passing tests) i1=numpy.argsort(Element[ele]['xcom']['energy'], kind='mergesort') else: sset = map(None,Element[ele]['xcom']['energy'],range(len(Element[ele]['xcom']['energy']))) sset.sort() i1=numpy.array([x[1] for x in sset]) Element[ele]['xcom']['energy']=numpy.take(Element[ele]['xcom']['energy'],i1) Element[ele]['xcom']['coherent']=numpy.take(Element[ele]['xcom']['coherent'],i1) Element[ele]['xcom']['compton']=numpy.take(Element[ele]['xcom']['compton'],i1) Element[ele]['xcom']['photo']=numpy.take(Element[ele]['xcom']['photo'],i1) Element[ele]['xcom']['pair']=numpy.take(Element[ele]['xcom']['pair'],i1) if Element[ele]['xcom']['coherent'][0] <= 0: Element[ele]['xcom']['coherent'][0] = Element[ele]['xcom']['coherent'][1] * 1.0 try: Element[ele]['xcom']['energylog10']=numpy.log10(Element[ele]['xcom']['energy']) Element[ele]['xcom']['coherentlog10']=numpy.log10(Element[ele]['xcom']['coherent']) Element[ele]['xcom']['comptonlog10']=numpy.log10(Element[ele]['xcom']['compton']) Element[ele]['xcom']['photolog10']=numpy.log10(Element[ele]['xcom']['photo']) except: raise ValueError("Problem calculating logaritm of %s.mat file data" % ele) for i in range(0,len(Element[ele]['xcom']['energy'])): Element[ele]['xcom']['total'].append(Element[ele]['xcom']['coherent'][i]+\ Element[ele]['xcom']['compton'] [i]+\ Element[ele]['xcom']['photo'] [i]+\ Element[ele]['xcom']['pair'] [i]) if energy is None: return Element[ele]['xcom'] ddict={} ddict['energy'] = [] ddict['coherent'] = [] ddict['compton'] = [] ddict['photo'] = [] ddict['pair'] = [] ddict['total'] = [] if not hasattr(energy, "__len__"): energy =[energy] for ene in energy: if ene < 1.0: if PyMcaEPDL97.EPDL97_DICT[ele]['original']: #make sure the binding energies are those used by this module and not EADL ones PyMcaEPDL97.setElementBindingEnergies(ele, Element[ele]['binding']) tmpDict = PyMcaEPDL97.getElementCrossSections(ele, ene) cohe = tmpDict['coherent'][0] comp = tmpDict['compton'][0] photo = tmpDict['photo'][0] pair = 0.0 else: i0=max(numpy.nonzero(Element[ele]['xcom']['energy'] <= ene)[0]) i1=min(numpy.nonzero(Element[ele]['xcom']['energy'] >= ene)[0]) if i1 <= i0: cohe=Element[ele]['xcom']['coherent'][i1] comp=Element[ele]['xcom']['compton'][i1] photo=Element[ele]['xcom']['photo'][i1] pair=Element[ele]['xcom']['pair'][i1] else: if LOGLOG: A=Element[ele]['xcom']['energylog10'][i0] B=Element[ele]['xcom']['energylog10'][i1] logene = numpy.log10(ene) c2=(logene-A)/(B-A) c1=(B-logene)/(B-A) else: A=Element[ele]['xcom']['energy'][i0] B=Element[ele]['xcom']['energy'][i1] c2=(ene-A)/(B-A) c1=(B-ene)/(B-A) cohe= pow(10.0,c2*Element[ele]['xcom']['coherentlog10'][i1]+\ c1*Element[ele]['xcom']['coherentlog10'][i0]) comp= pow(10.0,c2*Element[ele]['xcom']['comptonlog10'][i1]+\ c1*Element[ele]['xcom']['comptonlog10'][i0]) photo=pow(10.0,c2*Element[ele]['xcom']['photolog10'][i1]+\ c1*Element[ele]['xcom']['photolog10'][i0]) if Element[ele]['xcom']['pair'][i1] > 0.0: c2 = c2*numpy.log10(Element[ele]['xcom']['pair'][i1]) if Element[ele]['xcom']['pair'][i0] > 0.0: c1 = c1*numpy.log10(Element[ele]['xcom']['pair'][i0]) pair = pow(10.0,c1+c2) else: pair =0.0 else: pair =0.0 ddict['energy'].append(ene) ddict['coherent'].append(cohe) ddict['compton'].append(comp) ddict['photo'].append(photo) ddict['pair'].append(pair) ddict['total'].append(cohe+comp+photo+pair) return ddict def getElementLShellRates(symbol,energy=None,photoweights = None): """ getElementLShellRates(symbol,energy=None, photoweights = None) gives LShell branching ratios at a given energy weights due to photoeffect, fluorescence and Coster-Kronig transitions are calculated and used unless photoweights is False, in that case weights = [1.0, 1.0, 1.0, 1.0, 1.0] """ if photoweights is None:photoweights=True if photoweights: weights = getLWeights(symbol,energy=energy) else: weights = [1.0, 1.0, 1.0] z = getz(symbol) index = z-1 shellrates = numpy.arange(len(LShell.ElementLShellTransitions)).astype(numpy.float) shellrates[0] = z shellrates[1] = 0 lo = 0 if 'Z' in LShell.ElementL1ShellTransitions[0:2]:lo=1 if 'TOTAL' in LShell.ElementL1ShellTransitions[0:2]:lo=lo+1 n1 = len(LShell.ElementL1ShellTransitions) rates = numpy.array(LShell.ElementL1ShellRates[index]).astype(numpy.float) shellrates[lo:n1] = (rates[lo:] / (sum(rates[lo:]) + (sum(rates[lo:])==0))) * weights[0] n2 = n1 + len(LShell.ElementL2ShellTransitions) - lo rates = numpy.array(LShell.ElementL2ShellRates[index]).astype(numpy.float) shellrates[n1:n2] = (rates[lo:] / (sum(rates[lo:]) + (sum(rates[lo:])==0))) * weights[1] n1 = n2 n2 = n1 + len(LShell.ElementL3ShellTransitions) - lo rates = numpy.array(LShell.ElementL3ShellRates[index]).astype(numpy.float) shellrates[n1:n2] = (rates[lo:] / (sum(rates[lo:]) + (sum(rates[lo:])==0))) * weights[2] return shellrates def getElementMShellRates(symbol,energy=None, photoweights = None): """ getElementMShellRates(symbol,energy=None, photoweights = None) gives MShell branching ratios at a given energy weights due to photoeffect, fluorescence and Coster-Kronig transitions are calculated and used unless photoweights is False, in that case weights = [1.0, 1.0, 1.0, 1.0, 1.0] """ if photoweights is None:photoweights=True if photoweights: weights = getMWeights(symbol,energy=energy) else: weights = [1.0, 1.0, 1.0, 1.0, 1.0] z = getz(symbol) index = z-1 shellrates = numpy.arange(len(MShell.ElementMShellTransitions)).astype(numpy.float) shellrates[0] = z shellrates[1] = 0 n1 = len(MShell.ElementM1ShellTransitions) rates = numpy.array(MShell.ElementM1ShellRates[index]).astype(numpy.float) shellrates[2:n1] = (rates[2:] / (sum(rates[2:]) + (sum(rates[2:])==0))) * weights[0] n2 = n1 + len(MShell.ElementM2ShellTransitions) - 2 rates = numpy.array(MShell.ElementM2ShellRates[index]).astype(numpy.float) shellrates[n1:n2] = (rates[2:] / (sum(rates[2:]) + (sum(rates[2:])==0))) * weights[1] n1 = n2 n2 = n1 + len(MShell.ElementM3ShellTransitions) - 2 rates = numpy.array(MShell.ElementM3ShellRates[index]).astype(numpy.float) shellrates[n1:n2] = (rates[2:] / (sum(rates[2:]) + (sum(rates[2:])==0))) * weights[2] n1 = n2 n2 = n1 + len(MShell.ElementM4ShellTransitions) - 2 rates = numpy.array(MShell.ElementM4ShellRates[index]).astype(numpy.float) shellrates[n1:n2] = (rates[2:] / (sum(rates[2:]) + (sum(rates[2:])==0)))* weights[3] n1 = n2 n2 = n1 + len(MShell.ElementM5ShellTransitions) - 2 rates = numpy.array(MShell.ElementM5ShellRates[index]).astype(numpy.float) shellrates[n1:n2] = (rates[2:] / (sum(rates[2:]) + (sum(rates[2:])==0)))* weights[4] return shellrates def _getUnfilteredElementDict(symbol, energy, photoweights=None): if photoweights == None:photoweights = False ddict = {} if len(symbol) > 1: ele = symbol[0].upper() + symbol[1].lower() else: ele = symbol.upper() #fill the dictionnary ddict['rays']=[] z = getz(ele) for n in range(len(ElementXrays)): rays = ElementXrays[n] if (rays == 'L xrays'): shellrates = getElementLShellRates(ele,energy=energy,photoweights=photoweights) elif (rays == 'M xrays'): shellrates = getElementMShellRates(ele,energy=energy,photoweights=photoweights) else: shellrates = ElementShellRates[n][z-1] shelltransitions = ElementShellTransitions[n] ddict[rays] = [] minenergy = MINENERGY if 'TOTAL' in shelltransitions: indexoffset = 2 else: indexoffset = 1 for i in range(indexoffset, len(shelltransitions)): rate = shellrates [i] transition = shelltransitions[i] if n==0:ddict[transition] = {} if (rays == "Ka xrays"): xenergy = getxrayenergy(ele,transition.replace('a','')) elif (rays == "Kb xrays"): xenergy = getxrayenergy(ele,transition.replace('b','')) else: xenergy = getxrayenergy(ele,transition.replace('*','')) if xenergy > minenergy: ddict[transition] = {} ddict[rays].append(transition) ddict[transition]['energy'] = xenergy ddict[transition]['rate'] = rate if rays not in ddict['rays']: ddict['rays'].append(rays) ddict['buildparameters']={} ddict['buildparameters']['energy'] = energy ddict['buildparameters']['minenergy'] = minenergy ddict['buildparameters']['minrate'] = 0.0 return ddict def _updateElementDict(symbol, dict, energy=None, minenergy=MINENERGY, minrate=0.0010, normalize = None, photoweights = None): if normalize is None: normalize = True if photoweights is None: photoweights = True if len(symbol) > 1: ele = symbol[0].upper() + symbol[1].lower() else: ele = symbol[0].upper() #reset existing dictionnary if 'rays' in dict: for rays in dict['rays']: for transition in dict[rays]: #print "transition deleted = ",transition del dict[transition] #print "rays deleted = ",rays del dict[rays] #fill the dictionnary dict['rays']=[] z = getz(ele) for n in range(len(ElementXrays)): rays = ElementXrays[n] if (rays == 'L xrays'): shellrates = getElementLShellRates(ele,energy=energy,photoweights=photoweights) elif (rays == 'M xrays'): shellrates = getElementMShellRates(ele,energy=energy,photoweights=photoweights) else: shellrates = ElementShellRates[n][z-1] shelltransitions = ElementShellTransitions[n] dict[rays] = [] if 'TOTAL' in shelltransitions: transitionoffset = 2 else: transitionoffset = 1 maxrate = max(shellrates[transitionoffset:]) cum = 0.0 if maxrate > minrate: for i in range(transitionoffset, len(shelltransitions)): rate = shellrates [i] if (rate/maxrate) > minrate: transition = shelltransitions[i] if (rays == "Ka xrays"): xenergy = getxrayenergy(ele,transition.replace('a','')) elif (rays == "Kb xrays"): xenergy = getxrayenergy(ele,transition.replace('b','')) else: xenergy = getxrayenergy(ele,transition.replace('*','')) if (xenergy > minenergy) or (n == 0) : dict[transition] = {} dict[rays].append(transition) dict[transition]['energy'] = xenergy dict[transition]['rate'] = rate cum += rate if rays not in dict['rays']: dict['rays'].append(rays) #cum = 1.00 if normalize: if cum > 0.0: for transition in dict[rays]: dict[transition]['rate'] /= cum dict['buildparameters']={} dict['buildparameters']['energy'] = energy dict['buildparameters']['minenergy'] = minenergy dict['buildparameters']['minrate'] = minrate def updateDict(energy=None, minenergy=MINENERGY, minrate=0.0010, cb=True): for ele in ElementList: _updateElementDict(ele, Element[ele], energy=energy, minenergy=minenergy, minrate=minrate) if cb: _updateCallback() return def _getMaterialDict(): cDict = ConfigDict.ConfigDict() dirmod = PyMcaDataDir.PYMCA_DATA_DIR matdict = os.path.join(dirmod,"attdata") matdict = os.path.join(matdict,"MATERIALS.DICT") if not os.path.exists(matdict): #freeze does bad things with the path ... dirmod = os.path.dirname(dirmod) matdict = os.path.join(dirmod, "attdata") matdict = os.path.join(matdict, "MATERIALS.DICT") if not os.path.exists(matdict): if dirmod.lower().endswith(".zip"): dirmod = os.path.dirname(dirmod) matdict = os.path.join(dirmod, "attdata") matdict = os.path.join(matdict, "MATERIALS.DICT") if not os.path.exists(matdict): print("Cannot find file ", matdict) #raise IOError("Cannot find %s" % matdict) return {} cDict.read(matdict) return cDict class BoundMethodWeakref: """Helper class to get a weakref to a bound method""" def __init__(self, bound_method, onDelete=None): def remove(ref): if self.deleteCb is not None: self.deleteCb(self) self.deleteCb = onDelete self.func_ref = weakref.ref(bound_method.im_func, remove) self.obj_ref = weakref.ref(bound_method.im_self, remove) def __call__(self): obj = self.obj_ref() if obj is not None: func = self.func_ref() if func is not None: return func.__get__(obj) def __cmp__( self, other ): """Compare with another reference""" if not isinstance (other,self.__class__): return cmp( self.__class__, type(other) ) return cmp( self.func_ref, other.func_ref) and cmp( self.obj_ref, other.obj_ref) _registeredCallbacks=[] def registerUpdate(callback): if not hasattr(callback, "__call__"): raise TypeError("It should be a callable method") def delCallback(ref): try: i = _registeredCallbacks.index(ref) del _registeredCallbacks[i] except: pass if hasattr(callback, 'im_self') and callback.im_self is not None: ref = BoundMethodWeakref(callback, delCallback) else: # function weakref ref = weakref.ref(callback, delCallback) if ref not in _registeredCallbacks: _registeredCallbacks.append(ref) def _updateCallback(): for methodref in _registeredCallbacks: method = methodref() if method is not None: method() Element={} for ele in ElementList: z = getz(ele) Element[ele]={} Element[ele]['Z'] = z Element[ele]['name'] = ElementsInfo[z-1][4] Element[ele]['mass'] = ElementsInfo[z-1][5] Element[ele]['density'] = ElementsInfo[z-1][6]/1000. Element[ele]['binding'] = {} i=0 for shell in ElementShells: i = i + 1 if z > len(ElementBinding): #Give the bindings of the last element Element[ele]['binding'][shell] = ElementBinding[-1][i] else: Element[ele]['binding'][shell] = ElementBinding[z-1][i] #fluorescence yields Element[ele]['omegak'] = getomegak(ele) Element[ele]['omegal1'] = getomegal1(ele) Element[ele]['omegal2'] = getomegal2(ele) Element[ele]['omegal3'] = getomegal3(ele) Element[ele]['omegam1'] = getomegam1(ele) Element[ele]['omegam2'] = getomegam2(ele) Element[ele]['omegam3'] = getomegam3(ele) Element[ele]['omegam4'] = getomegam4(ele) Element[ele]['omegam5'] = getomegam5(ele) #Coster-Kronig Element[ele]['CosterKronig'] = {} Element[ele]['CosterKronig']['L'] = getCosterKronig(ele) Element[ele]['CosterKronig']['M'] = MShell.getCosterKronig(ele) #jump ratios #xrays #Element[ele]['rays']=[] #updateElementDict(ele, Element[ele], energy=None, minenergy=0.399, minrate=0.001,cb=False) Material = _getMaterialDict() updateDict() if __name__ == "__main__": if len(sys.argv) > 1: ele = sys.argv[1] if ele in Element.keys(): print("Symbol = ",getsymbol(getz(ele))) print("Atomic Number = ",getz(ele)) print("Name = ",getname(getz(ele))) print("K-shell yield = ",Element[ele]['omegak']) print("L1-shell yield = ",Element[ele]['omegal1']) print("L2-shell yield = ",Element[ele]['omegal2']) print("L3-shell yield = ",Element[ele]['omegal3']) print("M1-shell yield = ",Element[ele]['omegam1']) print("M2-shell yield = ",Element[ele]['omegam2']) print("M3-shell yield = ",Element[ele]['omegam3']) print("M4-shell yield = ",Element[ele]['omegam4']) print("M5-shell yield = ",Element[ele]['omegam5']) print("L Coster-Kronig= ",Element[ele]['CosterKronig']['L']) print("M Coster-Kronig= ",Element[ele]['CosterKronig']['M']) if len(sys.argv) > 2: def testCallback(): print("callback called") registerUpdate(testCallback) e = float(sys.argv[2]) if 0: _updateElementDict(ele,Element[ele],energy=e) else: import time t0=time.time() updateDict(energy=e) print("update took ",time.time() - t0) for rays in Element[ele]['rays']: print(rays,":") for transition in Element[ele][rays]: print("%s energy = %.5f rate = %.5f" %\ (transition,Element[ele][transition]['energy'], Element[ele][transition]['rate'])) if len(sys.argv) > 2: LOGLOG = False print("OLD VALUES") print(getmassattcoef(ele,float(sys.argv[2]))) LOGLOG = True print("NEW VALUES") print(getmassattcoef(ele,float(sys.argv[2]))) if len(sys.argv) >3: print(getcandidates(float(sys.argv[2]), threshold=float(sys.argv[3]))) else: print(getcandidates(float(sys.argv[2]))) else: print(getmassattcoef(ele,[10.,11,12,12.5])) PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/MShell.py0000644000276300001750000003243313136054446020745 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2016 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import numpy from PyMca5.PyMcaIO import specfile from PyMca5 import getDataFile sf=specfile.Specfile(getDataFile("MShellRates.dat")) ElementM1ShellTransitions = sf[0].alllabels() ElementM2ShellTransitions = sf[1].alllabels() ElementM3ShellTransitions = sf[2].alllabels() ElementM4ShellTransitions = sf[3].alllabels() ElementM5ShellTransitions = sf[4].alllabels() ElementM1ShellRates = numpy.transpose(sf[0].data()).tolist() ElementM2ShellRates = numpy.transpose(sf[1].data()).tolist() ElementM3ShellRates = numpy.transpose(sf[2].data()).tolist() ElementM4ShellRates = numpy.transpose(sf[3].data()).tolist() ElementM5ShellRates = numpy.transpose(sf[4].data()).tolist() sf=specfile.Specfile(getDataFile("MShellConstants.dat")) ElementM1ShellConstants = sf[0].alllabels() ElementM2ShellConstants = sf[1].alllabels() ElementM3ShellConstants = sf[2].alllabels() ElementM4ShellConstants = sf[3].alllabels() ElementM5ShellConstants = sf[4].alllabels() ElementM1ShellValues = numpy.transpose(sf[0].data()).tolist() ElementM2ShellValues = numpy.transpose(sf[1].data()).tolist() ElementM3ShellValues = numpy.transpose(sf[2].data()).tolist() ElementM4ShellValues = numpy.transpose(sf[3].data()).tolist() ElementM5ShellValues = numpy.transpose(sf[4].data()).tolist() sf=None fname = getDataFile("EADL97_MShellConstants.dat") sf = specfile.Specfile(fname) EADL97_ElementM1ShellConstants = sf[0].alllabels() EADL97_ElementM2ShellConstants = sf[1].alllabels() EADL97_ElementM3ShellConstants = sf[2].alllabels() EADL97_ElementM4ShellConstants = sf[3].alllabels() EADL97_ElementM5ShellConstants = sf[4].alllabels() EADL97_ElementM1ShellValues = numpy.transpose(sf[0].data()).tolist() EADL97_ElementM2ShellValues = numpy.transpose(sf[1].data()).tolist() EADL97_ElementM3ShellValues = numpy.transpose(sf[2].data()).tolist() EADL97_ElementM4ShellValues = numpy.transpose(sf[3].data()).tolist() EADL97_ElementM5ShellValues = numpy.transpose(sf[4].data()).tolist() EADL97 = True sf = None Elements = ['H', 'He', 'Li', 'Be', 'B', 'C', 'N', 'O', 'F', 'Ne', 'Na', 'Mg', 'Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn', 'Ga', 'Ge', 'As', 'Se', 'Br', 'Kr', 'Rb', 'Sr', 'Y', 'Zr', 'Nb', 'Mo', 'Tc', 'Ru', 'Rh', 'Pd', 'Ag', 'Cd', 'In', 'Sn', 'Sb', 'Te', 'I', 'Xe', 'Cs', 'Ba', 'La', 'Ce', 'Pr', 'Nd', 'Pm', 'Sm', 'Eu', 'Gd', 'Tb', 'Dy', 'Ho', 'Er', 'Tm', 'Yb', 'Lu', 'Hf', 'Ta', 'W', 'Re', 'Os', 'Ir', 'Pt', 'Au', 'Hg', 'Tl', 'Pb', 'Bi', 'Po', 'At', 'Rn', 'Fr', 'Ra', 'Ac', 'Th', 'Pa', 'U', 'Np', 'Pu', 'Am', 'Cm', 'Bk', 'Cf', 'Es', 'Fm', 'Md', 'No', 'Lr', 'Rf', 'Db', 'Sg', 'Bh', 'Hs', 'Mt'] def getsymbol(z): return Elements[z-1] def getz(ele): return Elements.index(ele)+1 #fluorescence yields def getomegam1(ele): zEle = getz(ele) index = ElementM1ShellConstants.index('omegaM1') value = ElementM1ShellValues[zEle-1][index] if (value <= 0.0) and EADL97: if zEle > 99: #just to avoid a crash #I do not expect any fluorescent analysis of these elements ... zEle = 99 index = EADL97_ElementM1ShellConstants.index('omegaM1') value = EADL97_ElementM1ShellValues[zEle-1][index] return value def getomegam2(ele): zEle = getz(ele) index = ElementM2ShellConstants.index('omegaM2') value = ElementM2ShellValues[zEle-1][index] if (value <= 0.0) and EADL97: if zEle > 99: #just to avoid a crash #I do not expect any fluorescent analysis of these elements ... zEle = 99 index = EADL97_ElementM2ShellConstants.index('omegaM2') value = EADL97_ElementM2ShellValues[zEle-1][index] return value def getomegam3(ele): zEle = getz(ele) index = ElementM3ShellConstants.index('omegaM3') value = ElementM3ShellValues[zEle-1][index] if (value <= 0.0) and EADL97: if zEle > 99: #just to avoid a crash #I do not expect any fluorescent analysis of these elements ... zEle = 99 index = EADL97_ElementM3ShellConstants.index('omegaM3') value = EADL97_ElementM3ShellValues[zEle-1][index] return value def getomegam4(ele): zEle = getz(ele) index = ElementM4ShellConstants.index('omegaM4') value = ElementM4ShellValues[zEle-1][index] if (value <= 0.0) and EADL97: if zEle > 99: #just to avoid a crash #I do not expect any fluorescent analysis of these elements ... zEle = 99 index = EADL97_ElementM4ShellConstants.index('omegaM4') value = EADL97_ElementM4ShellValues[zEle-1][index] return value def getomegam5(ele): zEle = getz(ele) index = ElementM5ShellConstants.index('omegaM5') value = ElementM5ShellValues[zEle-1][index] if (value <= 0.0) and EADL97: if zEle > 99: #just to avoid a crash #I do not expect any fluorescent analysis of these elements ... zEle = 99 index = EADL97_ElementM5ShellConstants.index('omegaM5') value = EADL97_ElementM5ShellValues[zEle-1][index] return value #Coster Kronig transitions def getCosterKronig(ele): ck = {} transitions = [ 'f12', 'f13', 'f14', 'f15', 'f23', 'f24', 'f25', 'f34', 'f35', 'f45'] zEle = getz(ele) if zEle > 99: #just to avoid a crash #I do not expect any fluorescent analysis of these elements ... EADL_z = 99 else: EADL_z = zEle ckEADL = {} ckSum = 0.0 for t in transitions: if t in ElementM1ShellConstants: index = ElementM1ShellConstants.index(t) ck[t] = ElementM1ShellValues[zEle-1][index] if EADL97: #try to extend with EADL97 values index = EADL97_ElementM1ShellConstants.index(t) ckEADL[t] = EADL97_ElementM1ShellValues[EADL_z-1][index] elif t in ElementM2ShellConstants: index = ElementM2ShellConstants.index(t) ck[t] = ElementM2ShellValues[zEle-1][index] if EADL97: #try to extend with EADL97 values index = EADL97_ElementM2ShellConstants.index(t) ckEADL[t] = EADL97_ElementM2ShellValues[EADL_z-1][index] elif t in ElementM3ShellConstants: index = ElementM3ShellConstants.index(t) ck[t] = ElementM3ShellValues[zEle-1][index] if EADL97: #try to extend with EADL97 values index = EADL97_ElementM3ShellConstants.index(t) ckEADL[t] = EADL97_ElementM3ShellValues[EADL_z-1][index] elif t in ElementM4ShellConstants: index = ElementM4ShellConstants.index(t) ck[t] = ElementM4ShellValues[zEle-1][index] if EADL97: #try to extend with EADL97 values index = EADL97_ElementM4ShellConstants.index(t) ckEADL[t] = EADL97_ElementM4ShellValues[EADL_z-1][index] else: print("%s not in M-Shell Coster-Kronig transitions" % t) continue ckSum += ck[t] if ckSum > 0.0: #I do not force EADL97 because of compatibility #with previous versions. I may offer forcing to #EADL97 in the future. return ck elif EADL97: #extended values if defined #for instance, the region from Mg to Cl return ckEADL else: return ck #Jump ratios following Veigele: Atomic Data Tables 5 (1973) 51-111. p 54 and 55 def getjm1(z): return 1.1 def getjm2(z): return 1.1 def getjm3(z): return 1.2 def getjm4(z): return 1.5 def getjm5(z): return (225.0/z) - 0.35 def getwjump(ele,excitedshells=[1.0,1.0,1.0,1.0,1.0]): """ wjump represents the probability for a vacancy to be created on the respective M-Shell by direct photoeffect on that shell """ z = getz(ele) #weights due to photoeffect jm = [getjm1(z), getjm2(z), getjm3(z), getjm4(z), getjm5(z)] wjump = [] i = 0 cum = 0.00 for jump in jm: v = excitedshells[i]*(jump-1.0)/jump wjump.append(v) cum += v i+=1 for i in range(len(wjump)): wjump[i] = wjump[i] / cum return wjump def getweights(ele,excitedshells=None): if type(ele) == type(" "): pass else: ele = getsymbol(int(ele)) if excitedshells == None:excitedshells=[1.0,1.0,1.0,1.0,1.0] w = getwjump(ele,excitedshells) #weights due to Coster Kronig transitions and fluorescence yields ck= getCosterKronig(ele) w[0] *= 1.0 w[1] *= (1.0 + ck['f12'] * w[0]) w[2] *= (1.0 + ck['f13'] * w[0] + ck['f23'] * w[1]) w[3] *= (1.0 + ck['f14'] * w[0] + ck['f24'] * w[1] + ck['f34'] * w[2]) w[4] *= (1.0 + ck['f15'] * w[0] + ck['f25'] * w[1] + ck['f35'] * w[2] + ck['f45'] * w[3]) omega = [ getomegam1(ele), getomegam2(ele), getomegam3(ele), getomegam4(ele), getomegam5(ele)] for i in range(len(w)): w[i] *= omega[i] cum = sum(w) for i in range(len(w)): if cum > 0.0: w[i] /= cum return w ElementMShellTransitions = ElementM1ShellTransitions + \ ElementM2ShellTransitions[2:] + \ ElementM3ShellTransitions[2:] + \ ElementM4ShellTransitions[2:] + \ ElementM5ShellTransitions[2:] nele = len(ElementM1ShellRates) elements = range(1,nele+1) weights = [] for ele in elements: weights.append(getweights(ele)) weights = numpy.array(weights).astype(numpy.float) ElementMShellRates = numpy.zeros((len(ElementM1ShellRates),len(ElementMShellTransitions)),numpy.float) ElementMShellRates[:,0] = numpy.arange(len(ElementM1ShellRates)) + 1 n1 = len(ElementM1ShellTransitions) ElementMShellRates[:,2:n1] = numpy.array(ElementM1ShellRates).astype(numpy.float)[:,2:] * \ numpy.resize(weights[:,0],(nele,1)) n2 = n1 + len(ElementM2ShellTransitions) - 2 ElementMShellRates[:,n1:n2] = numpy.array(ElementM2ShellRates).astype(numpy.float)[:,2:] * \ numpy.resize(weights[:,1],(nele,1)) n1 = n2 n2 = n1 + len(ElementM3ShellTransitions) - 2 ElementMShellRates[:,n1:n2] = numpy.array(ElementM3ShellRates).astype(numpy.float)[:,2:] * \ numpy.resize(weights[:,2],(nele,1)) n1 = n2 n2 = n1 + len(ElementM4ShellTransitions) - 2 ElementMShellRates[:,n1:n2] = numpy.array(ElementM4ShellRates).astype(numpy.float)[:,2:] * \ numpy.resize(weights[:,3],(nele,1)) n1 = n2 n2 = n1 + len(ElementM5ShellTransitions) - 2 ElementMShellRates[:,n1:n2] = numpy.array(ElementM5ShellRates).astype(numpy.float)[:,2:] * \ numpy.resize(weights[:,4],(nele,1)) if __name__ == "__main__": import sys if len(sys.argv) > 1: ele = sys.argv[1] if ele in Elements: z = getz(ele) print("Atomic Number = ",z) print("M1-shell yield = ",getomegam1(ele)) print("M2-shell yield = ",getomegam2(ele)) print("M3-shell yield = ",getomegam3(ele)) print("M4-shell yield = ",getomegam4(ele)) print("M5-shell yield = ",getomegam5(ele)) print("M1-shell jump = ",getjm1(z)) print("M2-shell jump = ",getjm2(z)) print("M3-shell jump = ",getjm3(z)) print("M4-shell jump = ",getjm4(z)) print("M5-shell jump = ",getjm5(z)) print("Coster-Kronig = ",getCosterKronig(ele)) EADL97 = False print("Coster-Kronig no EADL97 = ",getCosterKronig(ele)) PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/GenerateXCOMCrossSections.py0000644000276300001750000001134313136054446024521 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__= "Generate specfile from XCOM generated files" import sys import os import numpy from PyMca5.PyMcaPhysics import Elements def getHeader(filename): text = '#F %s\n' % filename text += '#U00 This file is a direct conversion to specfile format of \n' text += '#U01 the XCOM selected-arrays output.\n' text += '#U02 \n' text += '#U03 XCOM itself can be found at:\n' text += '#U04 http://www.nist.gov/pml/data/xcom/index.cfm\n' text += '\n' return text if __name__ == "__main__": if len(sys.argv) < 3: print("Usage:") print("python GenerateXCOMTotalCrossSections SPEC_output_filename Barns_flag") sys.exit(0) fname = sys.argv[1] if os.path.exists(fname): os.remove(fname) if int(sys.argv[2]): BARNS = True else: BARNS = False print("BARNS = %s" % BARNS) outfile = open(fname, 'wb') outfile.write(getHeader(fname)) for i in range(1, 101): ele = Elements.getsymbol(i) print("i = %d element = %s" % (i, ele)) # force data readout dataDict = Elements.getelementmassattcoef(ele) # pure XCOM data dataDict = Elements.Element[ele]['xcom'] # energy (keV) energy = dataDict['energy'] # coherent (cm2/g) cohe = dataDict['coherent'] # incoherent incohe = dataDict['compton'] # photoelectric photo = dataDict['photo'] # photoelectric pair = dataDict['pair'] # total total = dataDict['total'] # convert to keV and cut at 500 keV not done for XCOM # indices = numpy.nonzero(energy<=500.) # energy = energy[indices] # photo = photo[indices] # cohe = cohe[indices] # incohe = incohe[indices] # I do not cut at 500 keV. I need to take the pair production total = photo + cohe + incohe + pair #now I am ready to write a Specfile text = '#S %d %s\n' % (i, ele) text += '#N 5\n' labels = '#L PhotonEnergy[keV]' labels += ' Rayleigh(coherent)[barn/atom]' labels += ' Compton(incoherent)[barn/atom]' labels += ' CoherentPlusIncoherent[barn/atom]' labels += ' Photoelectric[barn/atom]' labels += ' PairProduction[barn/atom]' labels += ' TotalCrossSection[barn/atom]\n' if not BARNS: labels = labels.replace("barn/atom", "cm2/g") factor = 1.0 else: factor = Elements.Element[ele]['mass'] /(1.0E-24*AVOGADRO_NUMBER) text += labels if 0: fformat = "%g %g %g %g %g %g %g\n" else: fformat = "%.6E %.6E %.6E %.6E %.6E %.6E %.6E\n" outfile.write(text) for n in range(len(energy)): line = fformat % (energy[n], cohe[n] * factor, incohe[n] * factor, (cohe[n] + incohe[n]) * factor, photo[n] * factor, pair[n] * factor, total[n] * factor) outfile.write(line) outfile.write('\n') outfile.close() PyMca5-5.2.2/PyMca5/PyMcaPhysics/xrf/XRayTubeEbel.py0000644000276300001750000006136613136054446022063 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from . import Elements import math import numpy def continuumEbel(target, e0, e=None, window=None, alphae=None, alphax=None, transmission=None, targetthickness=None, filterlist=None): """ Calculation of X-ray Tube continuum emission spectrum Parameters: ----------- target : list [Symbol, density (g/cm2), thickness(cm)] or atomic ymbol If set to atomic symbol, the program sets density and thickness of 0.1 cm e0 : float Tube Voltage in kV e : float or array of floats Energy of interest. If not given, the program will generate an array of energies from 1 to the given tube voltage minus 1 kV in keV. window : list Tube window [Formula, density, thickness] alphae : float Angle, in degrees, between electron beam and tube target. Normal incidence is 90. alphax : float Angle, in degrees, of X-ray exit beam. Normal exit is 90. transmission : Boolean, default is False If True the X-ray come out of the tube target by the side opposite to the one receiving the exciting electron beam. targetthickness : Target thickness in cm Only considered in transmission case. If not given, the program uses as target thickness the maximal penetration depth of the incident electron beam. filterlist : [list] Additional filters [[Formula, density, thickness], ...] Return: ------- result : Array Spectral flux density. Flux of photons at the given energies in photons/sr/mA/keV/s Reference: H. Ebel, X-Ray Spectrometry 28 (1999) 255-266 Tube voltage from 5 to 50 kV Electron incident angle from 50 to 90 deg. X-Ray take off angle from 90 to 5 deg. """ if type(target) in [type([]), type(list())]: element = target[0] density = target[1] thickness = target[2] else: element = target density = Elements.Element[element]['density'] thickness = 0.1 if e is None: energy = numpy.arange(e0 * 1.0)[1:] elif type(e) == type([]): energy = numpy.array(e, dtype=numpy.float) elif type(e) == numpy.ndarray: energy = numpy.array(e, dtype=numpy.float) else: energy = numpy.array([e], dtype=numpy.float) if alphae is None: alphae = 75.0 if alphax is None: alphax = 15.0 if transmission is None: transmission = False sinalphae = math.sin(math.radians(alphae)) sinalphax = math.sin(math.radians(alphax)) sinfactor = sinalphae / sinalphax z = Elements.getz(element) const = 1.35e+09 x = 1.109 - 0.00435 * z + 0.00175 * e0 # calculate intermediate constants from formulae (4) in Ebel's paper # eta in Ebel's paper m = 0.1382 - 0.9211 / math.sqrt(z) logz = math.log(z) eta = 0.1904 - 0.2236 * logz + 0.1292 * pow(logz, 2) - \ 0.0149 * pow(logz, 3) eta = eta * pow(e0, m) # dephmax? in Ebel's paper p3 = 0.787e-05 * math.sqrt(0.0135 * z) * pow(e0, 1.5) + \ 0.735e-06 * pow(e0, 2) rhozmax = (Elements.Element[element]['mass'] / z) * p3 # print "max depth = ",2 * rhozmax # and finally we get rhoz u0 = e0 / energy logu0 = numpy.log(u0) p1 = logu0 * (0.49269 - 1.09870 * eta + 0.78557 * pow(eta, 2)) p2 = 0.70256 - 1.09865 * eta + 1.00460 * pow(eta, 2) + logu0 rhoz = rhozmax * (p1 / p2) # the term dealing with the photoelectric absorption of the Bremsstrahlung tau = numpy.array( Elements.getMaterialMassAttenuationCoefficients(element, 1.0, energy)['photo']) if not transmission: rhelp = tau * 2.0 * rhoz * sinfactor if len(numpy.nonzero(rhelp <= 0.0)[0]): result = numpy.zeros(rhelp.shape, numpy.float) for i in range(len(rhelp)): if rhelp[i] > 0.0: result[i] = const * z * pow(u0[i] - 1.0, x) * \ (1.0 - numpy.exp(-rhelp[i])) / rhelp[i] else: result = const * z * pow(u0 - 1.0, x) * \ (1.0 - numpy.exp(-rhelp)) / rhelp # the term dealing with absorption in tube's window if window is not None: if window[2] != 0: w = Elements.getMaterialTransmission(window[0], 1.0, energy, density=window[1], thickness=window[2], listoutput=False)['transmission'] result *= w if filterlist is not None: w = 1 for fwindow in filterlist: if fwindow[2] == 0: continue w *= Elements.getMaterialTransmission(fwindow[0], 1.0, energy, density = fwindow[1], thickness = fwindow[2], listoutput=False)['transmission'] result *= w return result # transmission case if targetthickness is None: #d = Elements.Element[target]['density'] d = density ttarget = 2 * rhozmax print("WARNING target thickness assumed equal to maximum depth of %f cm" % (ttarget/d)) else: #ttarget = targetthickness * Elements.Element[target]['density'] ttarget = targetthickness * density # generationdepth = min(ttarget, 2 * rhozmax) rhelp = tau * 2.0 * rhoz * sinfactor if len(numpy.nonzero(rhelp <= 0.0)[0]): result = numpy.zeros(rhelp.shape, numpy.float) for i in range(len(rhelp)): if rhelp[i] > 0.0: result[i] = const * z * pow(u0[i] - 1.0, x) * \ (numpy.exp(-tau[i] *(ttarget - 2.0 * rhoz[i]) / sinalphax) - \ numpy.exp(-tau[i] * ttarget / sinalphax)) / rhelp[i] else: result = const * z * pow(u0 - 1.0, x) * \ (numpy.exp(-tau *(ttarget - 2.0 * rhoz) / sinalphax) - \ numpy.exp(-tau * ttarget / sinalphax)) / rhelp # the term dealing with absorption in tube's window if window is not None: if window[2] != 0.0 : w = Elements.getMaterialTransmission(window[0], 1.0, energy, density=window[1], thickness=window[2] / sinalphax, listoutput=False)['transmission'] result *= w if filterlist is not None: for fwindow in filterlist: if fwindow[2] == 0: continue w = Elements.getMaterialTransmission(fwindow[0], 1.0, energy, density=fwindow[1], thickness=fwindow[2], listoutput=False)['transmission'] result *= w return result def characteristicEbel(target, e0, window=None, alphae=None, alphax=None, transmission=None, targetthickness=None, filterlist=None): """ Calculation of target characteritic lines and intensities Parameters: ----------- target : list [Symbol, density (g/cm2), thickness(cm)] or atomic ymbol If set to atomic symbol, the program sets density and thickness of 0.1 cm e0 : float Tube Voltage in kV e : float Energy of interest window : list Tube window [Formula, density, thickness] alphae : float Angle, in degrees, between electron beam and tube target. Normal incidence is 90. alphax : float Angle, in degrees, of X-ray exit beam. Normal exit is 90. transmission : Boolean, default is False If True the X-ray come out of the tube target by the side opposite to the one receiving the exciting electron beam. targetthickness : Target thickness in cm Only considered in transmission case. If not given, the program uses as target thickness the maximal penetration depth of the incident electron beam. filterlist : [list] Additional filters [[Formula, density, thickness], ...] Result: list Characteristic lines and intensities in the form [[energy0, intensity0, name0], [energy1, intensity1, name1], ...] Energies in keV Intensities in photons/sr/mA/keV/s """ if type(target) == type([]): element = target[0] density = target[1] thickness = target[2] if targetthickness is None: targetthickness = target[2] else: element = target density = Elements.Element[element]['density'] thickness = 0.1 if alphae is None: alphae = 75.0 if alphax is None: alphax = 15.0 if transmission is None: transmission = False sinalphae = math.sin(math.radians(alphae)) sinalphax = math.sin(math.radians(alphax)) sinfactor = sinalphae/sinalphax z = Elements.getz(element) const = 6.0e+13 # K Shell energy = Elements.Element[element]['binding']['K'] # get the energy of the characteristic lines lines = Elements._getUnfilteredElementDict(element, None, photoweights = True) if 0: # L shell lines will have to be entered directly by the user # L shell lpeaks = [] for label in lines['L xrays']: lpeaks.append([lines[label]['energy'], lines[label]['rate'], element+' '+label]) lfluo = Elements._filterPeaks(lpeaks, ethreshold=0.020, ithreshold=0.001, nthreshold=6, absoluteithreshold=False, keeptotalrate=True) lfluo.sort() peaklist = [] rays = 'K xrays' if rays in lines.keys(): #K shell for label in lines[rays]: peaklist.append([lines[label]['energy'], lines[label]['rate'], element + ' ' + label]) fl = Elements._filterPeaks(peaklist, ethreshold=0.020, ithreshold=0.001, nthreshold=4, absoluteithreshold=False, keeptotalrate=True) fl.sort() if (energy > 0) and (e0 > energy): zk = 2.0 bk = 0.35 else: for i in range(len(fl)): fl[i][1] = 0.00 return fl u0 = e0 / energy logu0 = numpy.log(u0) # stopping factor oneovers = (numpy.sqrt(u0) * logu0 + 2 * (1.0 - numpy.sqrt(u0))) oneovers /= u0 * logu0 + 1.0 - u0 oneovers = 1.0 + 16.05 * numpy.sqrt(0.0135 * z / energy) * oneovers oneovers *= (zk * bk / z) * (u0 * logu0 + 1.0 - u0) # backscattering factor r = 1.0 - 0.0081517 * z + 3.613e-05 * z * z +\ 0.009583 * z * numpy.exp(-u0) + 0.001141 * e0 # Absorption correction # calculate intermediate constants from formulae (4) in Ebel's paper # eta in Ebel's paper m = 0.1382 - 0.9211 / numpy.sqrt(z) logz = numpy.log(z) eta = 0.1904 - 0.2236 * logz + 0.1292 * pow(logz, 2) - 0.0149 * pow(logz, 3) eta = eta * pow(e0, m) # depmax? in Ebel's paper p3 = 0.787e-05 * numpy.sqrt(0.0135 * z) * pow(e0, 1.5) + \ 0.735e-06 * pow(e0, 2) rhozmax = (Elements.Element[element]['mass'] / z) * p3 # and finally we get rhoz p1 = logu0 * (0.49269 - 1.09870 * eta + 0.78557 * pow(eta, 2)) p2 = 0.70256 - 1.09865 * eta + 1.00460 * pow(eta, 2) + logu0 rhoz = rhozmax * (p1 / p2) # the term dealing with the photoelectric absorption energylist = [] for i in range(len(fl)): energylist.append(fl[i][0]) tau = numpy.array( Elements.getMaterialMassAttenuationCoefficients(element, 1.0, energylist)['photo']) if not transmission: rhelp = tau * 2.0 * rhoz * sinfactor w = None if window is not None: if window[2] != 0.0: w = Elements.getMaterialTransmission(window[0], 1.0, energylist, density=window[1], thickness=window[2], listoutput=False)['transmission'] if filterlist is not None: for fwindow in filterlist: if fwindow[2] == 0: continue if w is None: w = Elements.getMaterialTransmission(fwindow[0], 1.0, energylist, density=fwindow[1], thickness=fwindow[2], listoutput=False)['transmission'] else: w *= Elements.getMaterialTransmission(fwindow[0], 1.0, energylist, density=fwindow[1], thickness=fwindow[2], listoutput=False)['transmission'] for i in range(len(fl)): if rhelp[i] > 0.0 : rhelp[i] = (1.0 - numpy.exp(-rhelp[i])) / rhelp[i] else: rhelp[i] = 0.0 intensity = const * oneovers * r * Elements.getomegak(element) * rhelp[i] #the term dealing with absorption in tube's window if w is not None: intensity = intensity * w[i] fl[i][1] = intensity * fl[i][1] return fl #transmission case if targetthickness is None: d = density ttarget = 2 * rhozmax print("WARNING target thickness assumed equal to maximum depth of %f cm" % (ttarget/d)) else: ttarget = targetthickness * density #generationdepth = min(ttarget, 2 * rhozmax) rhelp = tau * 2.0 * rhoz * sinfactor w = None if (window is not None) or (filterlist is not None): if window is not None: if window[2] != 0.0: w = Elements.getMaterialTransmission(window[0], 1.0, energylist, density=window[1], thickness=window[2] / sinalphax, listoutput=False)['transmission'] if filterlist is not None: for fwindow in filterlist: if w is None: w = Elements.getMaterialTransmission(fwindow[0], 1.0, energylist, density=fwindow[1], thickness=fwindow[2], listoutput=False)['transmission'] else: w *= Elements.getMaterialTransmission(fwindow[0], 1.0, energylist, density=fwindow[1], thickness=fwindow[2], listoutput=False)['transmission'] for i in range(len(fl)): if rhelp[i] > 0.0: rhelp[i] = (numpy.exp(-tau[i] *( ttarget - 2.0 * rhoz) / sinalphax) - numpy.exp(-tau[i] * ttarget / sinalphax)) / rhelp[i] else: rhelp[i] = 0.0 intensity = const * oneovers * r * Elements.getomegak(element) * rhelp[i] if w is not None: intensity = intensity * w[i] fl[i][1] = intensity * fl[i][1] return fl def generateLists(target, e0, window=None, alphae=None, alphax=None, transmission=None, targetthickness=None, filterlist=None): """ Generate a theoretical X-Ray Tube emission profile Parameters: ----------- target : list [Symbol, density (g/cm2), thickness(cm)] or atomic ymbol If set to atomic symbol, the program sets density and thickness of 0.1 cm e0 : float Tube Voltage in kV window : list Tube window [Formula, density, thickness] alphae : float Angle, in degrees, between electron beam and tube target. Normal incidence is 90. alphax : float Angle, in degrees, of X-ray exit beam. Normal exit is 90. transmission : Boolean, default is False If True the X-ray come out of the tube target by the side opposite to the one receiving the exciting electron beam. targetthickness : Target thickness in cm Only considered in transmission case. If not given, the program uses as target thickness the maximal penetration depth of the incident electron beam. filterlist : [list] Additional filters [[Formula, density, thickness], ...] Return: ------- result : Tuple [Array of Energies, Array of relative intensities, Array of flags] Flag set to 1 means it is a target characteristic energy Flag set to 0 means it corresponds to a continuum energy """ e0w = 1.0 * e0 x1min = 1.4 step1 = 0.2 x2min = min(e0 - 2 * step1, 20.0) if x2min < 20: step2 = step1 else: step2 = 0.5 x3min = e0w x1 = numpy.arange(x1min, x2min+step1, step1) x2 = numpy.arange(x2min+step1, x3min, step2) # get K shell characteristic lines and intensities fllines = characteristicEbel(target, e0, window, alphae=alphae, alphax=alphax, transmission=transmission, targetthickness=targetthickness, filterlist=filterlist) energy = numpy.ones(len(x1) + len(x2), dtype=float) energy[0:len(x1)] *= x1 energy[len(x1):(len(x1)+len(x2))] *= x2 energyweight = continuumEbel(target, e0, energy, window, alphae=alphae, alphax=alphax, transmission=transmission, targetthickness=targetthickness, filterlist=filterlist) energyweight[0:len(x1)] *= step1 energyweight[len(x1):(len(x1) + len(x2))] *= step2 energyweight[len(x1)] *= (energy[len(x1)] - energy[len(x1) - 1]) / step2 finalenergy = numpy.zeros(len(fllines) + len(energyweight), numpy.float) finalweight = numpy.zeros(len(fllines) + len(energyweight), numpy.float) scatterflag = numpy.zeros(len(fllines) + len(energyweight)) finalenergy[len(fllines):] = energy[0:] finalweight[len(fllines):] = energyweight[0:] / 1.0e7 for i in range(len(fllines)): finalenergy[i] = fllines[i][0] finalweight[i] = fllines[i][1] / 1.0e7 scatterflag[i] = 1 return finalenergy, finalweight, scatterflag if __name__ == "__main__": import sys import getopt options = '' longoptions = ['target=', 'voltage=', 'wele=', 'window=', 'wthickness=', 'anglee=', 'anglex=', 'cfg=', 'deltae=', 'transmission=', 'tthickness='] opts, args = getopt.getopt( sys.argv[1:], options, longoptions) target = 'Ag' voltage = 40 wele = 'Be' wthickness = 0.0125 anglee = 70 anglex = 50 cfgfile = None transmission = None ttarget = None filterlist = None for opt, arg in opts: if opt in ('--target'): target = arg elif opt in ('--tthickness'): ttarget = float(arg) if opt in ('--cfg'): cfgfile = arg if opt in ('--voltage'): voltage = float(arg) if opt in ('--wthickness'): wthickness = float(arg) if opt in ('--wele', 'window'): wele = arg if opt in ('--transmission'): transmission = int(arg) if opt in ('--anglee', '--alphae'): anglee = float(arg) if opt in ('--anglex', '--alphax'): anglex = float(arg) try: e = numpy.arange(voltage * 10 + 1)[1:] / 10 y = continuumEbel(target, voltage, e, [wele, Elements.Element[wele]['density'], wthickness], alphae=anglee, alphax=anglex, transmission=transmission, targetthickness=ttarget, filterlist=filterlist) fllines = characteristicEbel(target, voltage, [wele, Elements.Element[wele]['density'], wthickness], alphae=anglee, alphax=anglex, transmission=transmission, targetthickness=ttarget, filterlist=filterlist) fsum = 0.0 for l in fllines: print("%s %.4f %.3e" % (l[2], l[0], l[1])) fsum += l[1] energy, weight, scatter = \ generateLists(target, voltage, [wele, Elements.Element[wele]['density'], wthickness], alphae=anglee, alphax=anglex, transmission=transmission, targetthickness=ttarget, filterlist=filterlist) f = open("Tube_%s_%.1f_%s_%.5f_ae%.1f_ax%.1f.txt" % (target, voltage, wele, wthickness, anglee, anglex), "w+") text = "energyweight=" for i in range(len(energy)): if i == 0: text += " %f" % weight[i] else: text += ", %f" % weight[i] text += "\n" f.write(text) text = "energy=" for i in range(len(energy)): if i == 0: text += " %f" % energy[i] else: text += ", %f" % energy[i] text += "\n" f.write(text) text = "energyflag=" for i in range(len(energy)): if i == 0: text += " %f" % 1 else: text += ", %f" % 1 text += "\n" f.write(text) text = "energyscatter=" for i in range(len(energy)): if i == 0: text += " %f" % scatter[i] else: text += ", %f" % scatter[i] text += "\n" f.write(text) f.close() except: print("Usage:") print("options = ", longoptions) sys.exit(0) PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/0000755000276300001750000000000013205526235017173 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/XASSelfattenuationCorrection.py0000644000276300001750000002571613136054446025334 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "Ana Sancho Tomas and V.A. Sole" __license__ = "MIT" __doc__ = """This module corrects fuorescence XAS spectra for selfattenuation. The implemented algorithm is valid for infinite samples. For state-of-the-art XAS analysis you should take a look at dedicated and well-tested packages like IFEFFIT or Viper/XANES dactyloscope """ import copy import numpy from PyMca5.PyMcaIO import ConfigDict from PyMca5.PyMcaPhysics.xrf import Elements def isValidConfiguration(configuration): return True, "OK" class XASSelfattenuationCorrection(object): def __init__(self, configuration=None): self.setConfiguration(configuration) def setConfiguration(self, configuration): if configuration is None: self._configuration = None return good, message = isValidConfiguration(configuration) if not good: raise RuntimeError(message) elif good and self._configuration in [None, {}]: self._configuration = copy.deepcopy(configuration) else: keyList = list(self._configuration.keys()) for key in keyList: if key in configuration.keys(): self._configuration[key] = copy.deepcopy(configuration[key]) def getConfiguration(self): return copy.deepcopy(self._configuration) def loadConfiguration(self, filename): ddict = ConfigDict.ConfigDict() ddict.read(filename) self.setConfiguration(ddict) def saveConfiguration(self, filename): ddict = ConfigDict.ConfigDict() config = self.getConfiguration() for key in config.keys(): ddict[key] = config[key] ddict.write(filename) def correctNormalizedSpectrum(self, energy0, spectrum): """ """ element = self._configuration['XAS']['element'] material = self._configuration['XAS'].get('material', element) edge = self._configuration['XAS']['edge'] alphaIn, alphaOut = self._configuration['XAS']['angles'] edgeEnergy = Elements.Element[element]['binding'][edge] userEdgeEnergy = self._configuration['XAS'].get('energy', edgeEnergy) energy = numpy.array(energy0, dtype=numpy.float) #PyMca data ar in keV but XAS data are usually in eV if 0.5 * (energy[0] + energy[-1])/edgeEnergy > 100: # if the user did not do stupid things most likely # the energy was given in eV energy *= 0.001 if userEdgeEnergy/edgeEnergy > 100: userEdgeEnergy *= 0.001 # forget about multilayers for the time being # Elements.getMaterialMassFractions(materialList, massFractionsList) massFractions = Elements.getMaterialMassFractions([material], [1.0]) # calculate the total mass attenuation coefficients at the given energies # exciting the given element shell and not exciting it EPDL = Elements.PyMcaEPDL97 totalCrossSection = 0.0 totalCrossSectionBackground = 0.0 for ele in massFractions.keys(): # make sure EPDL97 respects the Elements energies if EPDL.EPDL97_DICT[ele]['original']: EPDL.setElementBindingEnergies(ele, Elements.Element[ele]['binding']) if ele == element: # make sure we respect the user energy if abs(userEdgeEnergy-edgeEnergy) > 0.01: newBinding = Elements.Element[ele]['binding'] newBinding[edge] = userEdgeEnergy try: EPDL.setElementBindingEnergies(ele, newBinding) crossSections = EPDL.getElementCrossSections(ele, energy) EPDL.setElementBindingEnergies(ele, Elements.Element[ele]['binding']) except: EPDL.setElementBindingEnergies(ele, Elements.Element[ele]['binding']) raise else: crossSections = EPDL.getElementCrossSections(ele, energy) else: crossSections = EPDL.getElementCrossSections(ele, energy) total = numpy.array(crossSections['total']) tmpFloat = massFractions[ele] * total totalCrossSection += tmpFloat if ele != element: totalCrossSectionBackground += tmpFloat else: edgeCrossSections = numpy.array(crossSections[edge]) muSampleJump = massFractions[ele] * edgeCrossSections totalCrossSectionBackground += massFractions[ele] *\ (total - edgeCrossSections) # calculate the mass attenuation coefficient of the sample at the fluorescent energy # assume we are detecting the main fluorescence line of the element shell if edge == 'K': rays = Elements.Element[element]["Ka xrays"] elif edge[0] == 'L': rays = Elements.Element[element][edge + " xrays"] elif edge[0] == 'M': rays = [] for transition in Elements.Element[element]['M xrays']: if transition.startswith(edge): rays.append(transition) lineList = [] for label in rays: ene = Elements.Element[element][label]['energy'] rate = Elements.Element[element][label]['rate'] lineList.append([ene, rate, label]) # whithin 50 eV lines considered the same lineList = Elements._filterPeaks(lineList, ethreshold=0.050) # now take the returned line with the highest intensity fluoLine = lineList[0] for line in lineList: if line[1] > fluoLine[1]: fluoLine = line # and calculate the sample total mass attenuation muTotalFluorescence = 0.0 for ele in massFractions.keys(): crossSections = EPDL.getElementCrossSections(ele, fluoLine[0]) muTotalFluorescence += massFractions[ele] * crossSections['total'][0] #define some convenience variables sinIn = numpy.sin(numpy.deg2rad(alphaIn)) sinOut= numpy.sin(numpy.deg2rad(alphaOut)) g = sinIn / sinOut if 1: # thick sample idx = numpy.where(muSampleJump > 0.0)[0][0] muSampleJump[0:idx] = muSampleJump[idx] ALPHA = g * (muTotalFluorescence/muSampleJump) + totalCrossSectionBackground/muSampleJump return (spectrum * ALPHA)/(1 + ALPHA - spectrum) elif 1: # all samples (to be tested) d = thickness * density idx = numpy.where(muSampleJump > 0.0)[0][0] muSampleJump[0:idx] = muSampleJump[idx] ALPHA = g * (muTotalFluorescence/muSampleJump) + totalCrossSectionBackground/muSampleJump thickTarget0 = (spectrum * ALPHA)/(1 + ALPHA - spectrum) # Iterate to find the solution x = spectrum t = (ALPHA + 1) * d * muSampleJump/sinIn if t.max() < 0.001: A = 1 - t else: A = numpy.exp(-t) t = (ALPHA * d * muSampleJump/sinIn) if t.max() < 0.001: B = 1.0 - t else: B = numpy.exp(-t) delta = 10.0 i = 0 while (delta > 1.0e-5) and (i < 30): old = x x = thickTarget0 * (1.0 - A) / \ (1.0 - B * numpy.exp(- x * d * muSampleJump/sinIn)) delta = numpy.abs(x - old).max() i += 1 return x else: thickness = 1.0 density = 1.0e-6 # FORMULA Booth and Bridges ALPHA = g * muTotalFluorescence + totalCrossSection tmpFloat0 = density * thickness * ALPHA / sinIn tmpFloat1 = numpy.exp(-tmpFloat0) BETA = (muSampleJump * tmpFloat0) * tmpFloat1 GAMMA = 1.0 - tmpFloat1 b = GAMMA * ( ALPHA - muSampleJump * spectrum + BETA) discriminant = b*b + 4 * ALPHA * BETA * GAMMA * (spectrum - 1.0) return 1 + (-b + numpy.sqrt(discriminant))/(2 * BETA) if __name__ == "__main__": from PyMca.PyMcaIO import specfilewrapper instance = XASSelfattenuationCorrection() configuration = {} configuration['XAS'] = {} configuration['XAS']['material'] = 'Pd' configuration['XAS']['element'] = 'Pd' configuration['XAS']['edge'] = 'L3' configuration['XAS']['energy'] = Elements.Element['Pd']['binding']['L3'] configuration['XAS']['angles'] = [45., 45.] instance.setConfiguration(configuration) normalizedFile = specfilewrapper.Specfile('norm501.dat') normalizedScan = normalizedFile[0] energy, spectrum = normalizedScan[0], normalizedScan[1] normalizedScan = None normalizedFile = None correctedSpectrum = instance.correctNormalizedSpectrum(energy, spectrum) from matplotlib import pyplot as pl pl.plot(energy, spectrum, 'b') pl.plot(energy, correctedSpectrum, 'r') pl.show() normalizedFile = specfilewrapper.Specfile('PdL3Fabrice.DAT') normalizedScan = normalizedFile[0] data = normalizedScan.data() energy = data[1, :] spectrum = data[2, :] corr = data[3, :] normalizedScan = None normalizedFile = None correctedSpectrum = instance.correctNormalizedSpectrum(energy, spectrum) pl.plot(energy, spectrum, 'b') pl.plot(energy, corr, 'y') pl.plot(energy, correctedSpectrum, 'r') pl.show() PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/__init__.py0000644000276300001750000000000013136054446021275 0ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/XASClass.py0000644000276300001750000015205713136054446021203 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "M. Sanchez del Rio & V.A. Sole - ESRF" __doc__ = """Processing of XAS data. For the time being, processing is very basic. For state-of-the-art XAS you should take a look at dedicated packages like IFEFFIT or Viper/XANES dactyloscope. Hopefully this module can be enhanced to use those packages if present.""" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import copy import os import sys import numpy import time from PyMca5.PyMca import XASNormalization from PyMca5.PyMca import linalg try: from PyMca5.PyMca import _xas _XAS = True except ImportError: _XAS = False DEBUG = 0 def polynom(x, parameters): if hasattr(x, 'shape'): output = numpy.zeros(x.shape) else: output = 0.0 for i in range(len(parameters)): output += parameters[i] * pow(x, i) return output def victoreen(x, parameters): return parameters[0] * pow(x, -3) + parameters[1] * pow(x, -4) def modifiedVictoreen(x, parameters): return parameters[0] * pow(x, -3) + parameters[1] def e2k(energy, e0=0.0): r""" e2k(energy,e0=0.0): converts from E (eV) to k (A^-1) note: we use the convention that points with E 0) * 2-1) * numpy.sqrt(numpy.abs(tmpx)) * ccte return tmpxx def k2e(kvalues): codata_ec = numpy.array(1.602176565e-19) codata_me = numpy.array(9.10938291e-31) codata_h = numpy.array(6.62606957e-34) codata_hbar = codata_h/2.0/numpy.pi #; converts a set in k to energy #; the negative energies (below edge) are treated as negative k ccte = numpy.power(codata_hbar,2) / (2 / codata_me / codata_ec * 1e20) tmpx = kvalues tmpx = ((tmpx > 0) * 2-1) * tmpx * tmpx * ccte return tmpx def polspl_evaluate(set2,xl,xh,c,nc,nr): r""" polspl_evaluate(set2,xl,xh,c,nc,nr): for internal use of postedge PURPOSE: evaluate the combined spline fitted from its coefficients. INPUTS: set2: the set with the original data xl,xh arrays contain nr adjacent ranges over which to fit individual polynomials. c array containing the polynomial coefficients resulting from the fit nc array that specifies how many poly coeffs to use in each range nr the number of adjacent ranges OUTPUTS: a variable to receive a set with the same abscissas of the input one and the coordinates evaluated from the fit parameters MODIFICATION HISTORY: Written by: Manuel Sanchez del Rio. ESRF, February, 1993 2009-05-13 srio@esrf.eu updated doc 2014-12-04 srio@esrf.eu Translated to python """ fit = set2*0.0 #;change xl(1) and xh(nr) to extrapolate the fit xl[1] = numpy.min(set2[0,:]) xh[nr] = numpy.max(set2[0,:]) #; #; calculatest the first point #; xval=set2[0,0] yval=0.0 for k in range(1,int(nc[1]+1)): yval = yval+ c[k] * numpy.power(xval,(k-1)) fit[0,0] = xval fit[1,0] = yval #; #; now the rest of the points #; if DEBUG: fit2 = fit *1 for i in range(len(set2[0,:])): # loop over all the points for j in range(1,int(nr+1)): # loop over the # of intervals if ((set2[0,i] > xl[j]) and (set2[0,i] <= xh[j])): cstart=numpy.sum(nc[0:j]) xval = set2[0,i] yval = 0.0 for k in range(1,int(nc[j]+1)): yval = yval+ c[cstart+k] * numpy.power(xval,(k-1)) fit2[0,i] = xval fit2[1,i] = yval for j in range(1,int(nr+1)): # loop over the # of intervals idx = (set2[0, :] > xl[j]) & (set2[0,:] <= xh[j]) xval = set2[0, idx] cstart=numpy.sum(nc[0:j]) yval = 0.0 * xval for k in range(1,int(nc[j]+1)): yval += c[cstart+k] * numpy.power(xval,(k-1)) fit[0, idx] = xval fit[1, idx] = yval if DEBUG: print("GOOD? = ", numpy.allclose(fit, fit2)) return fit def polspl(x,y,w,npts,xl,xh,nr,nc): r""" polspl(x,y,w,npts,xl,xh,nr,nc): for internal use of postedge PURPOSE: polynomial spline least squares fit to data points Y(I). only the function and it's first derivative are matched at the knots, in order to give more degrees of freedom in the fit. INPUTS: x(i),i=1,npts abscissas y(i),i=1,npts ordinates w(i),i=1,npts weighting factor in least squares fit fit minimizes the sum of w(i)*(y(i)-poly(x(i)))**2 if uniform weighting is desired, w(i) must be 1. npts: points in x,y arrays. xl,xh arrays contain NR adjacent ranges over which to fit individual polynomials. Array nc specifies how many poly coeffs to use in each range. OUTPUTS: array with all coeffs, the first nc(1) of which belong to the first range, the second nc(2) of which belong to the second range, and so forth. SIDE EFFECTS: Quite inefficient, because it uses a lot of loops inherited from the Fortran code. However, for small set of data it is useful. PROCEDURE: (Translated from a Fortran Code) The method here is to fit ordinary polynomials in X, not B-splines, in order to save space on a mini-computer. This means that the is rather poorly conditioned, and hence the limits on the degree of the polynomial. The method of solution is Lagrange's undetermined multipliers for the knot constraints and gaussian elimination to solve the linear system. MODIFICATION HISTORY: Written by: Manuel Sanchez del Rio. ESRF February, 1993 2014-12-04 srio@esrf.eu Translated to python this subroutine is a translation of the fortran subroutine poslpl.for (found in the Frascati's package of EXAFS data analysis) which header states: SUBROUTINE POLSPL(X,Y,W,NPTS,XL,XH,NR,C,NC) C C POLYNOMIAL SPLINE LEAST SQUARES FIT TO DATA POINTS Y(I). C ONLY THE FUNCTION AND IT'S FIRST DERIVATIVE ARE MATCHED AT THE KNOTS, C IN ORDER TO GIVE MORE DEGREES OF FREEDOM IN THE FIT. C C X(I),I=1,NPTS ABSCISSAS C Y(I),I=1,NPTS ORDINATES C W(I),I=1,NPTS WEIGHTING FACTOR IN LEAST SQUARES FIT C FIT MINIMIZES THE SUM OF W(I)*(Y(I)-POLY(X(I)))**2 C IF UNIFORM WEIGHTING IS DESIRED, W(I) MUST BE 1. C C NPTS POINTS IN X,Y ARRAYS. XL,XH ARRAYS CONTAIN NR ADJACENT RANGES C OVER WHICH TO FIT INDIVIDUAL POLYNOMIALS. ARRAY NC SPECIFIES C HOW MANY POLY COEFFS TO USE IN EACH RANGE. ARRAY C RETURNS C ALL COEFFS, THE FIRST NC(1) OF WHICH BELONG TO THE FIRST RANGE, C THE SECOND NC(2) OF WHICH BELONG TO THE SECOND RANGE, AND SO FORTH. C C THE METHOD HERE IS TO FIT ORDINARY POLYNOMIALS IN X, NOT B-SPLINES, C IN ORDER TO SAVE SPACE ON A MINI-COMPUTER. THIS MEANS THAT THE C FIT IS RATHER POORLY CONDITIONED, AND HENCE THE LIMITS ON THE C DEGREE OF THE POLYNOMIAL. THE METHOD OF SOLUTION IS LAGRANGE'S C UNDETERMINED MULTIPLIERS FOR THE KNOT CONSTRAINTS AND GAUSSIAN C ELIMINATION TO SOLVE THE LINEAR SYSTEM. C """ # ; # ; few definitions # ; df = numpy.zeros(26) a = numpy.zeros((36,37)) nbs = numpy.zeros(11,dtype=int) xk = numpy.zeros(10) c = numpy.zeros(36) j=0 i=0 ne_idl=0 n = 0 k = 0 ibl = 0 ns = 0 ns1 = 0 nbs[1]=1 for i in range(1,nr+1): n=n+int(nc[i]) nbs[i+1]=n+1 if xl[i] < xh[i]: pass else: t=xl[i] xl[i]=xh[i] xh[i]=t n=n+2*(nr-1) n1=n+1 xl[nr+1]=0. xh[nr+1]=0. # this loop ... for ibl in range(1,nr+1): xk[ibl]=.5*(xh[ibl]+xl[ibl+1]) if (xl[ibl] > xl[ibl+1]): xk[ibl]=.5*(xl[ibl]+xh[ibl+1]) ns=nbs[ibl] ne_idl=nbs[ibl+1]-1 for i in range(1, npts+1): if((x[i] < xl[ibl]) or (x[i] > xh[ibl])): pass else: df[ns]=1.0 ns1=ns+1 for j in range(ns1,ne_idl+1): df[j]=df[j-1]*x[i] for j in range(ns,ne_idl+1): for k in range(j,ne_idl+1): a[j,k]=a[j,k]+df[j]*df[k]*w[i] a[j,n1]=a[j,n1]+df[j]*y[i]*w[i] # ... has to be faster ncol=nbs[nr+1]-1 nk=nr-1 if (nk == 0): pass else: for ik in range(1,nk+1): ncol=ncol+1 ns=nbs[ik] ne_idl=nbs[ik+1]-1 a[ns,ncol]=-1. ns=ns+1 for i in range(ns,ne_idl+1): a[i,ncol]=a[i-1,ncol]*xk[ik] ncol=ncol+1 a[ns,ncol]=-1. ns=ns+1 if (ns > ne_idl): pass else: for i in range(ns,ne_idl+1): a[i,ncol]=(ns-i-2)*numpy.power(xk[ik],(i-ns+1)) ncol=ncol-1 ns=nbs[ik+1] ne_idl=nbs[ik+2]-1 a[ns,ncol]=1.0 ns=ns+1 for i in range(ns,ne_idl+1): a[i,ncol]=a[i-1,ncol]*xk[ik] ncol=ncol+1 a[ns,ncol]=1.0 ns=ns+1 if (ns > ne_idl): pass else: for i in range(ns,ne_idl+1): a[i,ncol]=(i-ns+2)*numpy.power(xk[ik],(i-ns+1)) for i in range(1,n+1): i1=i-1 for j in range(1,i1+1): a[i,j]=a[j,i] nm1=n-1 for i in range(1,nm1+1): i1=i+1 m=i t=numpy.abs(a[i,i]) for j in range(i1,n+1): if (t >= numpy.abs(a[j,i])): pass else: m=j t=numpy.abs(a[j,i]) if (m == i): pass else: for j in range(1,n1+1): t=a[i,j] a[i,j]=a[m,j] a[m,j]=t for j in range(i1,n+1): t=a[j,i]/a[i,i] for k in range(i1,n1+1): a[j,k]=a[j,k]-t*a[i,k] c[n]=a[n,n1]/a[n,n] for i in range(1,nm1+1): ni=n-i t=a[ni,n1] ni1=ni+1 for j in range(ni1,n+1): t=t-c[j]*a[ni,j] c[ni]=t/a[ni,ni] return c def polspl_test(): r""" polspl_test(): to test polspl () """ set22 = numpy.loadtxt('set22.dat') set22 = set22.T npts = len(set22[1,:]) w = numpy.ones(npts+1) xx = numpy.zeros(npts+1) yy = numpy.zeros(npts+1) #w=w*0.0+1.0 xx[1:npts+1]=set22[0,:] yy[1:npts+1]=set22[1,:] xl = numpy.array( [ 0.0000000, 0.0000000, \ 7.6354497, 15.270899, 0.0000000,\ 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000 ]) xh = numpy.array( [ 0.0000000, 7.6354497,\ 15.270899, 22.906349, 0.0000000, 0.0000000,\ 0.0000000, 0.0000000, 0.0000000, 0.0000000 ] ) nc = numpy.array( [ 0.0000000, 4.0000000,\ 4.0000000, 4.0000000, 0.0000000, 0.0000000,\ 0.0000000, 0.0000000, 0.0000000, 0.0000000 ], dtype=numpy.int32) nr = 3 c = polspl(xx,yy,w,npts,xl,xh,nr,nc) #print("set22.shape",set22.shape) fit = polspl_evaluate(set22,xl,xh,c,nc,nr) #print("fit.shape",fit.shape) #print("c: ",c) #print("fit: ",fit) return def postEdge(set2,kmin=None,kmax=None,polDegree=[3,3,3],knots=None, full=False): r""" postEdge(set2,kmin=None,kmax=None,polDegree=[3,3,3],knots=None) PURPOSE: This procedure calculates the post edge fit of a xafs spectrum INPUTS: set2: input set of data KEYWORD PARAMETERS: kmin the bottom limit for the fit (defaults kmin=0) kmax the upper limit for the fit (defaults max) OUTPUTS: a set with the fit MODIFICATION HISTORY: Written by: Manuel Sanchez del Rio. ESRF February, 1993 1996-08-13 MSR (srio@esrf.fr) changes wmenu->wmenu2 and xtext->widget_message 1998-10-01 srio@esrf.fr adapts for delia. 2000-02-12 MSR (srio@esrf.fr) adds Dialog_Parent keyword 2014-12-04 srio@esrf.eu Translated to python """ #Note that in/out arrays are numpy way: numpy.array((npoints,2)) xl = numpy.zeros(10) xh = numpy.zeros(10) c = numpy.zeros(36) nc = numpy.zeros(10, numpy.int32) if len(polDegree) > 10: print("Error: Maximum number of intervals is 10") print(" Number of intervals forced to 10") polDegree = polDegree[0:9] x1 = 0.0 # set2[:,0].min() x2 = set2[:,0].max() if kmin != None: x1 = kmin if kmax != None: x2 = kmax xrange1 = [x1,x2] if DEBUG: print("++++++++++++++++++",xrange1) if knots not in [None, []]: if len(knots) == len(polDegree): if knots[0] > kmin: knots = [kmin] + list(knots) elif knots[-1] < kmax: knots = list(knots) + [kmax] elif len(knots) == (len(polDegree) - 1): # probably just given the intermediate knots if knots[0] > kmin: knots = [kmin] + list(knots) if knots[-1] < kmax: knots = list(knots) + [kmax] if ( (len(polDegree)+1) != len(knots) ): print("Error: dimension of knots must be dimension of polDegree+1") print(" Forced automatic (equidistant) knot definition.") knots = None else: xrange1 = knots[0],knots[-1] nr = len(polDegree) xl[1] = xrange1[0] xh[nr] = xrange1[1] for i in range(1,nr+1): nc[i] = polDegree[i-1] + 1 if knots == None: step = (xh[nr]-xl[1])/float(nr) for i in range(1,nr): xl[i+1] = xl[i] + step xh[i] = xl[i+1] else: for i in range(1,nr): xl[i+1] = knots[i] xh[i] = xl[i+1] # # select only points in selected interval # goodi = (set2[:,0] >= xrange1[0]) & (set2[:,0] <= xrange1[1]) set22 = set2[goodi,:] if DEBUG: print(' Number of fitting points: %d'%(len(set22[:,0]))) print(' polynomials used for fitting: %d'%(nr)) print('# degree min max') for i in range(1,nr+1): print("%d %9d %9.2f %9.2f "%(i,nc[i]-1,xl[i],xh[i])) # ; # ; call spline # ; npts = len(set22[:,0]) w = numpy.ones(npts+1) xx = numpy.zeros(npts+1) yy = numpy.zeros(npts+1) xx[1:] = set22[:,0] yy[1:] = set22[:,1] #t0 = time.time() if _XAS: c = _xas.polspl(xx,yy,w,npts,xl,xh,nr,nc) if DEBUG: t0 = time.time() c2 = polspl(xx,yy,w,npts,xl,xh,nr,nc) print("polspl elapsed = ", time.time() - t0) print("OK?", numpy.allclose(c, c2)) else: c = polspl(xx,yy,w,npts,xl,xh,nr,nc) #TODO: polspl_evaluate receives and returns arrays like IDL (2,npoints) #t0 = time.time() fit0 = polspl_evaluate(set2.T,xl,xh,c,nc,nr) #print("polspl_evaluate elapsed = ", time.time() - t0) if full: xNodes = numpy.zeros((nr-1,), dtype=numpy.float32) yNodes = numpy.zeros((nr-1,), dtype=numpy.float32) for j in range(1,int(nr)): # loop over the # of intervals xval = xh[j] cstart=numpy.sum(nc[0:j]) yval = 0.0 for k in range(1,int(nc[j]+1)): yval += c[cstart+k] * numpy.power(xval,(k-1)) xNodes[j-1] = xval yNodes[j-1] = yval return fit0.T, xNodes, yNodes else: return fit0.T def postEdge0(k, mu, kmin=None, kmax=None, degrees=(3, 3, 3), knots=None, full=False): set0 = numpy.zeros((k.size, 2), dtype=k.dtype) set0[:, 0] = k set0[:, 1] = mu return postEdge(set0, kmin, kmax, degrees, knots=knots, full=full) def getFTWindowWeights(tk, window="Gaussian", windpar=0.2, wrange=None): r""" window_ftr(setin,window=1,windpar=0.2,wrange=None) PURPOSE: This procedure calculates and applies a weighting window to a set INPUTS: setin: either: numpy.array(npoints,ncols) set of data (CASE A) numpy.array(npoints) array of abscissas (CASE B) OUTPUT: depends on the case: CASE A: numpy.array(npoints,ncol) set with the weigted set (in index [:,1]) CASE B: numpy.array(npoints) the values of the weights KEYWORD PARAMETERS: window = kind of window: 0 Gaussian Window (default) 1 Hanning Window 2 Box 3 Parzen (triangular) 4 Welch 5 Hamming 6 Tukey 7 Papul windpar Parameter for windowing If WINDOW=(2,3,4,5,6) this sets the width of the apodization (default=0.2) wrange = [xmin,xmax] the limits of the window. If wrange is not set, the take the minimum and maximum values of the abscisas. The window has value zero outside this interval. MODIFICATION HISTORY: Written by: Manuel Sanchez del Rio. ESRF March, 1993 96-08-14 MSR (srio@esrf.fr) adds names keyword. 06-03-14 srio@esrf.fr always exits "names" 2014-12-03 srio@esrf.eu translated to python ;- """ names = ['Gaussian', 'Hanning', 'Box','Parzen','Welch', 'Hamming', 'Tukey', 'Papul', 'Kaiser'] if hasattr(window, "lower"): window = window[0].upper() + window[1:].lower() else: window = names[window] if DEBUG: print("Using window ", window) if wrange == None: xmax = tk.max() xmin = tk.min() else: xmin = wrange[0] xmax = wrange[1] xp = (xmax + xmin) / 2. xm = xmax - xmin apo1 = xmin + windpar apo2 = xmax - windpar npoint = len(tk) wind = numpy.ones(npoint, dtype=numpy.float) if window in ["Gaussian", "Gauss"]: wind = numpy.power((tk - xp)/xm, 2) wind = numpy.exp(-wind * 9.2) elif window == "Hanning": for i in range(npoint): if tk[i] <= apo1: wind[i] = 0.5*(1.0-numpy.cos(numpy.pi*(tk[i]-xmin)/windpar)) if tk[i] >= apo2: wind[i] = 0.5*(1.0+numpy.cos(numpy.pi*(tk[i]-apo2)/windpar)) elif window == "Box": for i in range(npoint): if tk[i] <= apo1: wind[i] = 0.0 if tk[i] >= apo2: wind[i] = 0.0 elif window in ["Parzen", "Triangle", "Triangular"]: for i in range(npoint): if tk[i] <= apo1: wind[i] = (tk[i]-xmin)/windpar if tk[i] >= apo2: wind[i] = 1 - (tk[i]-apo2)/windpar elif window == "Welch": for i in range(npoint): if tk[i] <= apo1: wind[i] = 1.0 - numpy.power( ( (tk[i]-apo1) / windpar), 2) if tk[i] >= apo2: wind[i] = 1.0 - numpy.power( (tk[i]-apo2) / windpar, 2 ) elif window == "Hamming": for i in range(npoint): if tk[i] <= apo1: wind[i] = 1.08 - (.54+0.46*numpy.cos(numpy.pi*(tk[i]-xmin)/windpar)) if tk[i] >= apo2: wind[i] = 1.08 - (.54-0.46*numpy.cos(numpy.pi*(tk[i]-apo2)/windpar)) elif window == "Tukey": for i in range(npoint): if tk[i] <= apo1: wind[i] = 1.0 - numpy.power(numpy.cos(0.5*numpy.pi*(tk[i]-xmin)/windpar),2) if tk[i] >= apo2: wind[i] = numpy.power(numpy.cos(-0.5*numpy.pi*(tk[i]-apo2)/windpar),2) elif window == "Papul": for i in range(npoint): if tk[i] <= apo1: a=(1./numpy.pi)*numpy.sin(numpy.pi*(tk[i]-xmin)/windpar) + \ (1.-(tk[i]-xmin)/windpar)*numpy.cos(numpy.pi*(tk[i]-xmin)/windpar) wind[i] = 1.0 - a if tk[i] >= apo2: a=(1./numpy.pi)*numpy.sin(numpy.pi*(tk[i]-apo2)/windpar) + \ (1.-(tk[i]-apo2)/windpar)*numpy.cos(numpy.pi*(tk[i]-apo2)/windpar) wind[i] = a elif _XAS and window in ["Kaiser", "Kasel"]: wind= (_xas.j0(windpar * numpy.sqrt(1. - 4.0 * pow((tk-xp)/xm, 2))) - 1.0)/ (_xas.j0(windpar) - 1.0) else: raise ValueError("Window <%s> not implemented" % window) return wind def getFT(k, exafs, npoints=2048, rrange=(0.0, 7.0), krange=None, kstep=0.02, kweight=0, window="gaussian", apodization=0.2, wweights=None): if krange is not None: idx = (k >= krange[0]) & (k <= krange[1]) k = k[idx] exafs = exafs[idx] if wweights is None: wweights = getFTWindowWeights(k, window=window, windpar=apodization, wrange=krange) if 0: set3 = numpy.zeros((k.size, 2), dtype=numpy.float) set3[:, 0] = k set3[:, 1] = exafs * wweights setFT = exex.fastftr(set3,npoint=npoints,rrange=[0.,7.],kstep=0.02) npoint2 = k.size xmin = k[0] xmax = k[-1] # ; # ; creates the input interpolated values # ; interpolatedDataX = numpy.linspace(0.0, npoints-1, npoints) * kstep interpolatedDataY = numpy.interp( interpolatedDataX , k, wweights * exafs * pow(k, kweight), left=0.0, right=0.0) # ; calculates the fft and generates the conjugated variable (rr) ff = numpy.fft.ifft(interpolatedDataY) rstep = numpy.pi / npoints / kstep rr = numpy.linspace(0.0, npoints-1, npoints) * rstep # ; # ; prepare the results # ; coef = npoints * kstep / numpy.sqrt(numpy.pi) * numpy.sqrt(2.) f12 = coef*numpy.real(ff) # real part of fft f13 = coef*numpy.imag(ff)*(-1.) # imaginary part of fft # ; # ; cut the results to the selected interval in r (rrange) # ; goodi = (rr >= rrange[0]) & (rr <= rrange[1]) f13 = f13[goodi] f12 = f12[goodi] f10 = rr[goodi] f11 = numpy.sqrt( f12*f12 + f13*f13) # ; # ; define the result array # ; fourier = numpy.zeros((len(f10),4)) fourier[:,0] = f10 fourier[:,1] = f11 fourier[:,2] = f12 fourier[:,3] = f13 #print("OK = ", numpy.allclose(fourier, setFT)) ddict = {} ddict["Set"] = fourier ddict["InterpolatedK"] = interpolatedDataX ddict["InterpolatedSignal"] = interpolatedDataY ddict["KWeight"] = kweight ddict["K"] = k ddict["WindowWeight"] = wweights ddict["FTRadius"] = f10 ddict["FTIntensity"] = f11 ddict["FTReal"] = f12 ddict["FTImaginary"] = f13 return ddict def getBackFT(fourier,npoint=4096,krange=[2.0,12.0],rstep=None,rmin=None,rmax=None): r""" fastbftr(fourier,npoint=4096,krange=[2.0,12.0],rstep=None,rmin=None,rmax=None) PURPOSE: This procedure calculates the Back Fast Fourier Transform of a set INPUTS: fourier: a 4 col set with r,modulus,real and imaginary part of a Fourier Transform of an Exafs spectum, as produced by FTR or FASTFTR procedures KEYWORD PARAMETERS: krange=[kmin,kmax] : range of the conjugated variable for the transformation (default = [2,15]) npoint= number of points of the the fft calculation (default = 4096) rstep = when this keyword is set then the fourier set is interpolated using the indicated value as step. Otherwise the fourier set is not interpolated. rmin = the mimimun r for the back fourier filtering rmax = the maximum r for the back fourier filtering OUTPUTS: This procedure returns a 4-columns set (backftr) with the conjugated variable (k) in column 0, the real part of the BFT in col 1, the modulus in col 2 and the phase in col 3. MODIFICATION HISTORY: Written by: Manuel Sanchez del Rio. ESRF March, 1993 98-10-26 srio@esrf.fr uses Dialog_Message for error messages. 20141204 srio@esrf.eu Translated to python """ kmin = krange[0] kmax = krange[1] npt = len(fourier[:,0]) fou = numpy.zeros((npoint,4)) if rmin == None: rmin = (fourier[:,0]).min() if rmax == None: rmax = (fourier[:,0]).max() #; #; fill "fou" set #; if rstep == None: #;--- no interpolation nn = int(npt/2) rstep = fourier[nn+1,0] - fourier[nn,0] rstep2 = fourier[nn+2,0] - fourier[nn+1,0] rdiff = numpy.abs (rstep - rstep2) if DEBUG: print(' back rstep = %f'%(rstep)) print(' rdiff = %f'%rdiff) if (rdiff >= 1e-6): raise ValueError("r griding is not regular; Use rstep keyword -> Abort") #return fou ptstart = int(rmin/rstep) if DEBUG: print(' ptstart = %d'%ptstart) print(' ptstart+npt = %d'%(ptstart+npt)) fou[ptstart:ptstart+npt,:]=fourier else: #;--- interpolation fou[:,0] = numpy.linspace(0,0,npoint-1,npoint)*rstep fou[:,1] = numpy.interp(fou[:,0],fourier[:,0],fourier[:,1],left=0.0,right=0.0) fou[:,2] = numpy.interp(fou[:,0],fourier[:,0],fourier[:,2],left=0.0,right=0.0) fou[:,3] = numpy.interp(fou[:,0],fourier[:,0],fourier[:,3],left=0.0,right=0.0) #; #; call back fft #; c = fou[:,2] - 1.0j * fou[:,3] af = numpy.fft.fft(c) #; #; create the array of the conjugated variable #; kstep = numpy.pi/npoint/rstep kk = numpy.linspace(0.0,npoint-1,npoint)*kstep #; #; prepare the output array #; coef = npoint*kstep/numpy.sqrt(numpy.pi)*numpy.sqrt(2.) # coefficienu used for direct fft coef1 = 2./coef # 2 because we are only afr = coef1 * af.real # real part of back fft afi = coef1 * af.imag # imaginary part of back fft #; #; cut the results to the selected interval in k (krange) #; goodi = (kk >= kmin) & (kk <= kmax) afr = afr[goodi] afi = afi[goodi] afk = kk[goodi] nptout = len(afr) #; #; define the output set #; backftr = numpy.zeros((nptout,4)) backftr[:,0] = afk # the conjugated variable (k [A^-1]) backftr[:,1] = afr # the real part of backftr or atra backftr[:,2] = numpy.sqrt(afr*afr+afi*afi) # the modulus of backftr backftr[:,3] = numpy.arctan2(afi,afr) # the phase return backftr class XASClass(object): def __init__(self, backend=None): # This lists are to be updated as larch or any other backend # is available self._e0MethodList = ("Manual", "Auto - No Smooth", "Auto - 3pt SG", "Auto - 5pt SG", "Auto - 7pt SG", "Auto - 9pt SG") self._e0MethodDict = { "Manual": {"function": self._calculateE0, "vars":None, "kw":None}, "Auto - No Smooth": {"function": self._calculateE0, "vars":None, "kw":None}, "Auto - 3pt SG": {"function": self._calculateE0, "vars":None, "kw":None}, "Auto - 5pt SG": {"function": self._calculateE0, "vars":None, "kw":None}, "Auto - 7pt SG": {"function": self._calculateE0, "vars":None, "kw":None}, "Auto - 9pt SG": {"function": self._calculateE0, "vars":None, "kw":None}} # list of polynomials available self._polynomList = ['Modif. Victoreen', 'Victoreen', 'Constant', 'Linear', 'Parabolic', 'Cubic'] self._polynomDict = { "Modif. Victoreen":{"function":modifiedVictoreen, "vars":None, "kw":None}, "Victoreen":{"function":victoreen, "vars":None, "kw":None}, "Constant":{"function":polynom, "vars":None, "kw":None}, "Linear":{"function":polynom, "vars":None, "kw":None}, "Parabolic":{"function":polynom, "vars":None, "kw":None}, "Cubic":{"function":polynom, "vars":None, "kw":None}} self._configuration = self.getDefaultConfiguration(backend) self._processingPending = True self._energy = None self._mu = None def getDefaultConfiguration(self, backend=None): configuration = {} if backend in [None, "Default", "DefaultBackend"]: configuration["DefaultBackend"] = {} config = configuration["DefaultBackend"] else: raise ValueError("Only default backend supported") config = configuration[backend] # normalization # E0 and pre-edge will be used for EXAFS extraction # PostEdge will only be used for the normalized spectrum # because EXAFS extraction follows its own methods # None parameters are to be derived from input spectrum config["Normalization"] = {} ddict = config["Normalization"] ddict["E0Method"] = "Auto - 5pt SG" ddict["E0Value"] = None ddict["E0MinValue"] = None ddict["E0MaxValue"] = None ddict["JumpNormalizationMethod"] = "Flattened" ddict["JumpNormalizationMethodList"] = ["Constant", "Flattened"] # limits to be used (relative to E0) ddict["PreEdge"] = {} ddict["PreEdge"] ["Method"] = "Polynomial" ddict["PreEdge"] ["Polynomial"] = "Linear" # Regions is a single list with 2 * n values delimiting n regions. ddict["PreEdge"] ["Regions"] = [-1000., -40.] ddict["PostEdge"] = {} ddict["PostEdge"] ["Method"] = "Polynomial" ddict["PostEdge"] ["Polynomial"] = "Linear" ddict["PostEdge"] ["Regions"] = [20., 500.] # EXAFS config["EXAFS"] = {} ddict = config["EXAFS"] # k grid # None parameters are to be derived from spectrum ddict["Grid"] = {} ddict["KMin"] = None ddict["KMax"] = None ddict["KWeight"] = 0 ddict["Delta"] = None ddict["Nodes"] = None # extraction ddict["Normalization"] = "Fit" #ddict["Normalization"] = "Jump" # Normalization possibilities: Fit, Jump, Extrapolation" ddict["ExtractionMethod"] = "Knots" # Implement "Knots", "Victoreen", "Modif. Victoreen" ddict["Knots"] = {} ddict["Knots"] ["Number"] = 3 ddict["Knots"] ["Values"] = None ddict["Knots"] ["Orders"] = [3, 2, 2, 3] # one more than knots # FT """ window = kind of window: 1 Gaussian Window (default) 2 Hanning Window 3 Box 4 Parzen (triangular) 5 Welch 6 Hamming 7 Tukey 8 Papul windpar Parameter for windowing If WINDOW=(2,3,4,5,6) this sets the width of the apodization (default=0.2) wrange = [xmin,xmax] the limits of the window. If wrange is not set, the take the minimum and maximum values of the abscisas. The window has value zero outside this interval. """ config["FT"] = {} ddict = config["FT"] ddict["Window"] = "Gaussian" ddict["WindowList"] = ["Gaussian", "Hanning", "Box", "Parzen", "Welch", "Hamming", "Tukey", "Papul"] ddict["WindowApodization"] = 0.02 ddict["WindowRange"] = None ddict["KStep"] = 0.04 ddict["Points"] = 2048 ddict["Range"] = [0.0, 7.0] # Back-FT config["BFT"] = {} ddict = config["BFT"] ddict["KRange"] = [2.0, 12.0] ddict["Points"] = 2048 ddict["Range"] = [0.0, 6.0] return configuration def setConfiguration(self, configuration, backend=None): if backend not in [None, "Default", "DefaultBackend"]: raise ValueError("Only default backend implemented") else: if "DefaultBackend" in configuration: inputConfig = configuration["DefaultBackend"] else: inputConfig = configuration backend = "DefaultBackend" currentConfig = self.getConfiguration(backend=backend) newConfiguration = \ self.mergeConfigurationDicts(currentConfig, inputConfig) self._configuration[backend] = newConfiguration self._processingPending = True def mergeConfigurationDicts(self, referenceDict, inputDict): destinationDict = {} referenceKeys = list(referenceDict.keys()) for referenceKey in referenceKeys: ref = referenceDict[referenceKey] referenceLower = referenceKey.lower() treated = False for key in inputDict: if key.lower() == referenceLower: if hasattr(referenceDict[referenceKey], "keys"): inp = inputDict[key] destinationDict[referenceKey] = \ self.mergeConfigurationDicts(ref, inp) else: destinationDict[referenceKey] = inputDict[key] treated = True break if not treated: if hasattr(referenceDict[referenceKey], "keys"): destinationDict[referenceKey] = copy.deepcopy(ref) else: destinationDict[referenceKey] = ref return destinationDict def getConfiguration(self, backend=None): if backend not in [None, "Default", "DefaultBackend", "All", "all"]: raise ValueError("Only default backend implemented") if backend in ["all", "All"]: return copy.deepcopy(self._configuration) else: return copy.deepcopy(self._configuration["DefaultBackend"]) def setSpectrum(self, energy, mu, units=None, sanitize=True): self._lastE0CalculationDict = None energy0 = numpy.array(energy, dtype=numpy.float64, copy=True) mu0 = numpy.array(mu, dtype=numpy.float64, copy=True) energy0.shape = -1 mu0.shape = -1 self._equidistant = False # TODO: This should become a function to be called on its own # make sure data are sorted idx = energy.argsort(kind='mergesort') energy = numpy.take(energy0, idx) mu = numpy.take(mu0, idx) # make sure data are strictly increasing delta = energy[1:] - energy[:-1] dmin = delta.min() dmax = delta.max() if delta.min() <= 1.0e-10: # force data to be strictly increasing # although we do not consider last point idx = numpy.nonzero(delta>0)[0] energy = numpy.take(energy, idx) mu = numpy.take(mu, idx) delta = None if dmin == dmax: equidistant = True else: equidistant = False if units is None: if (energy[-1] - energy[0]) < 10: units = "keV" else: units = "eV" if units.lower() not in ["kev", "ev"]: raise ValueError("Unhandled units %s" % units) elif units.lower() == "kev": energy *= 1000. energy0 *= 1000. # everything went well, update internal variables self._energy0 = energy0 self._mu0 = mu0 self._energy = energy self._mu = mu self._units = units self._equidistant = equidistant def processSpectrum(self): e0 = self.calculateE0() ddict = self.normalize() """ return {"Jump": jump, "NormalizedEnergy": energy, "NormalizedMu":normalizedSpectrum, "NormalizedBackground": data["PreEdge"], "NormalizedSignal":data["PostEdge"]} """ ddict["Energy"] = self._energy ddict["Mu"] = self._mu cleanMu = self._mu - ddict["NormalizedBackground"] kValues = e2k(self._energy - e0) ddict.update(self.postEdge(kValues, cleanMu)) dataSet = numpy.zeros((cleanMu.size, 2), numpy.float) dataSet[:, 0] = kValues dataSet[:, 1] = cleanMu # normalization exafs = (cleanMu - ddict["PostEdgeB"]) / ddict["PostEdgeB"] ddict["EXAFSEnergy"] = k2e(kValues) ddict["EXAFSKValues"] = kValues ddict["EXAFSSignal"] = cleanMu if ddict["KWeight"]: exafs *= pow(kValues, ddict["KWeight"]) ddict["EXAFSNormalized"] = exafs set2 = dataSet * 1 set2[:,1] = exafs #remove points with k<2 goodi = (set2[:,0] >= ddict["KMin"]) & (set2[:,0] <= ddict["KMax"]) set2 = set2[goodi,:] #plotSet(set2,xtitle="k [$A^{-1}$]",ytitle="$\chi$", toptitle=" CUCU EXAFS") # FT # window if 0: set2 = exex.window_ftr(set2,window=8,windpar=3) setFT = exex.fastftr(set2,npoint=4096,rrange=[0.,7.],kstep=0.02) else: #setFT = getFT(set2[:,0], set2[:, 1], npoints=2048, # krange=(ddict["KMin"], ddict["KMax"]),\ # rrange=[0.,7.],kstep=0.02) setFT = self.fourierTransform(set2[:,0], set2[:, 1], kMin=ddict["KMin"], kMax=ddict["KMax"]) ddict["FT"] = setFT if 0: # BFT setBFT = getBackFT(setFT["Set"],rmin=1.0,rmax=3.0,krange=[2.0,20.0]) ddict["BFT"] = setBFT return ddict def fourierTransform(self, k, mu, kMin=None, kMax=None, backend=None): if backend not in [None, "Default", "DefaultBackend"]: raise ValueError("Only default backend implemented") else: backend = "DefaultBackend" config = self._configuration[backend]["FT"] if kMin is None: kMin = k.min() if kMax is None: kMax = k.max() kRange = config["WindowRange"] if config["WindowRange"] in [None, "None"]: kRange = [kMin, kMax] else: kRange = [max(kRange[0], kMin), min(kRange[1], kMax)] return getFT(k, mu, npoints=config["Points"], krange=kRange,\ window=config.get("Window", "Gaussian"), apodization=config.get("WindowApodization", 0.02), rrange=config["Range"], kstep=config["KStep"]) def postEdge(self, k, mu, backend=None): if backend not in [None, "Default", "DefaultBackend"]: raise ValueError("Only default backend implemented") else: backend = "DefaultBackend" config = self._configuration[backend]["EXAFS"] method = config["ExtractionMethod"] # Grid kMin = config["KMin"] kMax = config["KMax"] kWeight = config["KWeight"] if kMin is None: kMin = 2 if kMax is None: kMax = k.max() else: kMax = min(k.max(), kMax) number = config["Knots"].get("Number", 0) if number == 0: knots = None if not hasattr(config["Knots"]["Orders"], "__len__"): config["Knots"]["Orders"] = [config["Knots"]["Orders"]] else: knots = config["Knots"]["Values"] if not hasattr(knots, "__len__"): knots = [knots] fit0, xNodes, yNodes = postEdge0(k, mu, kMin, kMax, config["Knots"]["Orders"], knots=knots, full=True) ddict = {} ddict["PostEdgeK"] = fit0[:, 0] ddict["PostEdgeB"] = fit0[:, 1] ddict["KnotsX"] = xNodes ddict["KnotsY"] = yNodes ddict["KMin"] = kMin ddict["KMax"] = kMax ddict["KWeight"] = kWeight # TODO: add polynomials? return ddict def calculateE0(self, energy=None, mu=None, backend=None): self._lastE0CalculationDict = None if energy is None: energy = self._energy if mu is None: mu = self._mu if backend not in [None, "Default", "DefaultBackend"]: raise ValueError("Only default backend implemented") else: backend = "DefaultBackend" config = self._configuration[backend]["Normalization"] method = config["E0Method"] fun = self._e0MethodDict[method]["function"] varList = self._e0MethodDict[method]["vars"] kwDict = self._e0MethodDict[method]["kw"] if (varList is None) and (kwDict is None): outputDict = fun(energy, mu, config) elif varList is None: outputDict = fun(energy, mu, config, **kwDict) else: outputDict = fun(energy, mu, config, *varList) return outputDict["edge"] def _calculateE0(self, energy, mu, config): method = config["E0Method"] methodLower = method.lower() e0 = config["E0Value"] eMin = config["E0MinValue"] eMax = config["E0MaxValue"] if eMin is None: eMin = energy.min() if eMax is None: eMax = energy.max() if (e0 is None) and methodLower.endswith("manual"): raise ValueError("Edge energy not set") if (id(energy) == id(self._energy)) and self._equidistant: # data do not need to be interpolated if DEBUG: print("NO INTERPOLATION") eWork = energy muWork = mu else: nWorkingPoints = 10 * energy.size eWork = numpy.linspace(energy[1], energy[-2], nWorkingPoints) muWork = numpy.interp(eWork, energy, mu, mu[0], mu[-1]) eWork.shape = -1 muWork.shape = -1 methodLower = method.lower() if methodLower.endswith("manual"): return {"edge":e0} elif methodLower.endswith("no smooth"): idx = numpy.gradient(muWork).argmax() return eWork[idx] elif methodLower.endswith("3pt sg"): npoints = 3 elif methodLower.endswith("5pt sg"): npoints = 5 elif methodLower.endswith("7pt sg"): npoints = 7 elif methodLower.endswith("9pt sg"): npoints = 9 else: raise ValueError("Method <%s> not implemented" % method) # Returning dictionnary can contain: # The edge energy (mandatory) # The interpolated spectrum (if any) # The derivative spectrum (if any) ddict = XASNormalization.getE0SavitzkyGolay(eWork, muWork, \ points=npoints, full=True) self._lastE0CalculationDict = ddict return ddict def _getRegionsData(self, x0, y0, regions): x = x0[:] y = y0[:] x.shape = -1 y.shape = -1 i = 0 for region in regions: xmin, xmax = region toidx = numpy.nonzero((x >=xmin) & (x <= xmax))[0] if i == 0: i = 1 idx = toidx else: idx = numpy.concatenate((idx, toidx), axis = 0) xOut = numpy.take(x, idx) yOut = numpy.take(y, idx) return xOut, yOut def normalize(self, energy=None, mu=None, backend=None): if energy is None: energy = self._energy else: self._lastE0CalculationDict = None if mu is None: mu = self._mu else: self._lastE0CalculationDict = None if backend not in [None, "Default", "DefaultBackend"]: raise ValueError("Only default backend implemented") else: backend = "DefaultBackend" config = self._configuration[backend]["Normalization"] # reference values eMin = energy.min() eMax = energy.max() # e0 if self._lastE0CalculationDict is None: e0 = self.calculateE0(energy, mu, backend=backend) else: e0 = self._lastE0CalculationDict["edge"] parameters = {} data = {} for key in ["PreEdge", "PostEdge"]: # pre-edge # Regions is a single list with 2 * n values delimiting n regions. regions = config [key] ["Regions"] edgeMethod = config[key]["Method"] if edgeMethod.lower() != "polynomial": raise ValueError("Only normalization with polynomials implemented") method = config[key]["Polynomial"] methodLower = method.lower() if regions is None: if key == "PreEdge": regions = [-1000., -40.] else: regions = [20., 1000.] workingRegions = [] if key == "PreEdge": plotMin = eMax for i in range(0, len(regions), 2): vMin = e0 + regions[2 * i] vMax = e0 + regions[2 * i + 1] if vMin < eMin: vMin = eMin if vMax < eMin: vMax = 0.5 * (eMin + e0) if vMin < plotMin: plotMin = vMin workingRegions.append([vMin, vMax]) else: plotMax = eMin for i in range(0, len(regions), 2): vMin = e0 + regions[2 * i] vMax = e0 + regions[2 * i + 1] if vMin > eMax: vMin = 0.5 * (e0 + eMax) if vMax < eMin: vMax = eMax if vMax > plotMax: plotMax = vMax workingRegions.append([vMin, vMax]) x, y = self._getRegionsData(energy, mu, workingRegions) if methodLower == "constant": modelMatrix = numpy.ones((x.size, 1), numpy.float) #parameters[key] = y.mean() elif methodLower == "linear": modelMatrix = numpy.empty((x.size, 2), numpy.float) modelMatrix[:, 0] = 1.0 modelMatrix[:, 1] = x elif methodLower == "parabolic": modelMatrix = numpy.empty((x.size, 3), numpy.float) modelMatrix[:, 0] = 1.0 modelMatrix[:, 1] = x modelMatrix[:, 2] = pow(x, 2) elif methodLower == "cubic": modelMatrix = numpy.empty((x.size, 4), numpy.float) modelMatrix[:, 0] = 1.0 modelMatrix[:, 1] = x modelMatrix[:, 2] = pow(x, 2) modelMatrix[:, 3] = pow(x, 3) elif methodLower == "victoreen": modelMatrix = numpy.empty((x.size, 2), numpy.float) modelMatrix[:,0] = pow(x, -3) modelMatrix[:,1] = pow(x, -4) elif methodLower == "modif. victoreen": modelMatrix = numpy.empty((x.size, 2), numpy.float) modelMatrix[:,0] = pow(x, -3) modelMatrix[:,1] = 1.0 else: raise ValueError("Unhandled %s polynomial <%s> " % \ (key, config[key]["Polynomial"])) parameters[key] = linalg.lstsq(modelMatrix, y, uncertainties=False, weight=False)[0] fun = self._polynomDict[method]["function"] if key == "PreEdge": funPre = fun data[key] = fun(energy, parameters[key]) jump = fun(e0, parameters["PostEdge"]) - \ funPre(e0, parameters["PreEdge"]) #normalizedSpectrum = (mu - data["PreEdge"])/(data["PostEdge"] jumpMethod = config.get("JumpNormalizationMethod", "Flattened") normalizedSpectrum = (mu - data["PreEdge"])/jump if jumpMethod in [0, "Constant", "constant"]: jumpMethod = "Constant" pass elif jumpMethod in [1, "Flattened", "flattened", "Flatten", "flatten"]: jumpMethod = "Flattened" i = numpy.argmin(energy < e0) normalizedSpectrum[i:] *= (jump / \ (data["PostEdge"] - data["PreEdge"])[i:]) else: print("WARNING: Undefined jump normalization method. Assume Flattened") jumpMethod = "Flattened" i = numpy.argmin(energy < e0) normalizedSpectrum[i:] *= (jump / \ (data["PostEdge"] - data["PreEdge"])[i:]) return {"Jump": jump, "JumpNormalizationMethod":jumpMethod, "Edge":e0, "NormalizedEnergy": energy, "NormalizedMu":normalizedSpectrum, "NormalizedBackground": data["PreEdge"], "NormalizedSignal":data["PostEdge"], "NormalizedPlotMin": plotMin, "NormalizedPlotMax":plotMax} if __name__ == "__main__": import os import sys from PyMca5.PyMcaIO import specfilewrapper as specfile from PyMca5.PyMcaDataDir import PYMCA_DATA_DIR if len(sys.argv) > 1: fileName = sys.argv[1] else: fileName = os.path.join(PYMCA_DATA_DIR, "EXAFS_Ge.dat") if len(sys.argv) > 2: cfg = sys.argv[2] else: cfg = None scan = specfile.Specfile(fileName)[0] data = scan.data() if data.shape[0] == 2: energy = data[0, :] mu = data[1, :] else: energy = None mu = None labels = scan.alllabels() i = 0 for label in labels: if label.lower() == "energy": energy = data[i, :] elif label.lower() in ["counts", "mu", "absorption"]: mu = data[i, :] i = i + 1 if (energy is None) or (mu is None): if len(labels) == 3: if labels[0].lower() == "point": energy = data[1, :] mu = data[2, :] else: energy = data[0, :] mu = data[1, :] else: energy = data[0, :] mu = data[1, :] exafs = XASClass() if cfg is not None: from PyMca5.PyMca import ConfigDict config = ConfigDict.ConfigDict() config.read(cfg) exafs.setConfiguration(config['XASParameters']) exafs.setSpectrum(energy, mu) if 0: print("exafs.calculateE0 = ", exafs.calculateE0()) ddict = exafs.normalize() print("Jump = ", ddict["Jump"]) else: t0 = time.time() ddict = exafs.processSpectrum() print("Elapsed = ", time.time() - t0) #sys.exit() from PyMca5.PyMca import PyMcaQt as qt app = qt.QApplication([]) from PyMca5.PyMca import PlotWindow w = PlotWindow.PlotWindow() w.addCurve(energy, mu, legend="original", replot=False) w.addCurve(ddict["NormalizedEnergy"], ddict["NormalizedMu"], legend="Mu", yaxis="right", replot=False) w.addCurve(ddict["NormalizedEnergy"], ddict["NormalizedSignal"], legend="Post", replot=False) w.addCurve(ddict["NormalizedEnergy"], ddict["NormalizedBackground"], legend="Pre",replot=False) w.resetZoom() w.show() exafs = PlotWindow.PlotWindow() idx = (ddict["EXAFSKValues"] >= ddict["KMin"]) & \ (ddict["EXAFSKValues"] <= ddict["KMax"]) exafs.addCurve(ddict["EXAFSKValues"][idx], ddict["EXAFSNormalized"][idx], legend="Normalized EXAFS") exafs.show() #""" ft = PlotWindow.PlotWindow() ft.addCurve(ddict["FT"]["FTRadius"], ddict["FT"]["FTIntensity"]) ft.resetZoom() ft.show() #""" app.exec_() PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/XASNormalization.py0000644000276300001750000004510613136054446022760 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2014 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Software Group" __doc__ = """This set of routines performs normalization of X-ray absorption spectra for qualitative/preliminary analysis. For state-of-the-art XAS you should take a look at dedicated and well-tested packages like IFEFFIT or Viper/XANES dactyloscope """ __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import numpy from PyMca5.PyMcaMath.fitting import SpecfitFuns from PyMca5.PyMcaMath import SGModule from PyMca5.PyMcaMath.fitting.Gefit import LeastSquaresFit DEBUG = 0 if DEBUG: from pylab import * def e2k(energy, e0=0.0, units="eV"): r""" e2k(energy, e0=0.0): converts from E (eV) to k (A^-1) note: we use the convention that points with E 0) * 2-1) * numpy.sqrt(numpy.abs(tmpx)) * ccte return tmpxx def k2e(kValues): r""" k2e(x): converts from k (A^-1) to E (eV) The negative energies (below edge) are treated as negative k """ codata_ec = numpy.array(1.602176565e-19) codata_me = numpy.array(9.10938291e-31) codata_h = numpy.array(6.62606957e-34) codata_hbar = codata_h/2.0/numpy.pi #; converts a set in k to energy #; the negative energies (below edge) are treated as negative k ccte = numpy.power(codata_hbar,2) / 2 / codata_me / codata_ec * 1e20 tmpx = kValues tmpx = ((tmpx > 0) * 2-1) * tmpx * tmpx * ccte return tmpx def polynom(parameter_list, x): if hasattr(x, 'shape'): output = numpy.zeros(x.shape) else: output = 0.0 for i in range(len(parameter_list)): output += parameter_list[i] * pow(x, i) return output def polynomDerivative(parameter_list, parameter_index, x): return pow(x, parameter_index) def victoreen(parameter_list, x): return parameter_list[0] * pow(x, -3) + parameter_list[1] * pow(x, -4) def victoreenDerivative(parameter_list, parameter_index, x): if parameter_index == 0: return pow(x, -3) else: return pow(x, -4) def modifiedVictoreen(parameter_list, x): return parameter_list[0] * pow(x, -3) + parameter_list[1] def modifiedVictoreenDerivative(parameter_list, parameter_index, x): if parameter_index == 0: return pow(x, -3) else: return numpy.ones(x.shape, dtype=numpy.float) def getE0SavitzkyGolay(energy, mu, points=5, full=False): # It does not check anything, data have to be prepared before!!! # take the first derivative yPrime = SGModule.getSavitzkyGolay(mu, npoints=points, degree=2, order=1) xPrime = energy[:] # get the index at maximum value iMax = numpy.argmax(yPrime) # get the center of mass w = points selection = yPrime[iMax-w:iMax+w+1] edge = (selection * xPrime[iMax-w:iMax+w+1]).sum(dtype=numpy.float)/\ selection.sum(dtype=numpy.float) if full: # return intermediate information return {"edge":edge, "iMax": iMax, "xPrime": xPrime, "yPrime": yPrime} else: # return the corresponding x value return edge def estimateXANESEdge(spectrum, energy=None, npoints=5, full=False, sanitize=True): if sanitize: if energy is None: x = numpy.arange(len(spectrum)).astype(numpy.float) else: x = numpy.array(energy, dtype=numpy.float, copy=False) y = numpy.array(spectrum, dtype=numpy.float, copy=False) # make sure data are sorted idx = energy.argsort(kind='mergesort') x = numpy.take(energy, idx) y = numpy.take(spectrum, idx) # make sure data are strictly increasing delta = x[1:] - x[:-1] dmin = delta.min() dmax = delta.max() if delta.min() <= 1.0e-10: # force data are strictly increasing # although we do not consider last point idx = numpy.nonzero(delta>0)[0] x = numpy.take(x, idx) y = numpy.take(y, idx) delta = None # use a regularly spaced spectrum if dmax != dmin: # choose the number of points or deduce it from # the input data length? nchannels = 10 * x.size xi = numpy.linspace(x[1], x[-2], nchannels).reshape(-1, 1) x.shape = -1 y.shape = -1 y = SpecfitFuns.interpol([x], y, xi, y.min()) x = xi else: # take views x = energy[:] y = spectrum[:] x.shape = -1 y.shape = -1 # Sorted and regularly spaced values sortedX = x sortedY = y ddict = getE0SavitzkyGolay(sortedX, sortedY, points=npoints, full=full) if full: # return intermediate information return ddict["edge"], sortedX, sortedY, ddict["xPrime"], ddict["yPrime"] else: # return the corresponding x value return ddict def getRegionsData(x0, y0, regions, edge=0.0): """ x - 1D array y - 1D array of the same dimension as x regions - List of (xmin, xmax) values defining the regions. edge - Supplied edge energy The default is 0. That means regions are absolute energies. The actual regions are defined as (xmin + edge, xmax + edge) """ # take a view of the data x = x0[:] y = y0[:] x.shape = -1 y.shape = -1 i = 0 for region in regions: xmin = region[0] + edge xmax = region[1] + edge toidx = numpy.nonzero((x >= xmin) & (x <= xmax))[0] if i == 0: i = 1 idx = toidx else: idx = numpy.concatenate((idx, toidx), axis=0) xOut = numpy.take(x, idx) yOut = numpy.take(y, idx) if len(x0.shape) == 1: xOut.shape = -1 yOut.shape = -1 elif x0.shape[0] == 1: xOut.shape = 1, -1 yOut.shape = 1, -1 else: xOut.shape = -1, 1 yOut.shape = -1, 1 return xOut, yOut def XASNormalization(spectrum, energy=None, edge=None, pre_edge_regions=None, post_edge_regions=None, algorithm='polynomial', algorithm_parameters=None): if algorithm not in SUPPORTED_ALGORITHMS: raise ValueError("Unsupported algorithm %s" % algorithm) if energy is None: energy = numpy.arange(len(spectrum)) if edge in [None, 'Auto']: edge = estimateXANESEdge(spectrum, energy=energy) if pre_edge_regions is None: # divide pre-edge zone in 4 regions and take the 3rd? if edge < 200: # data assumed to be in keV pre_edge_regions = [[-0.4, -0.05]] else: # data assumend to be in eV pre_edge_regions = [[-400., -50.]] if post_edge_regions is None: #divide post-edge by 20 and leave out the first one? if edge < 200: # data assumed to be in keV post_edge_regions = [[0.020, energy.max()-edge]] else: # data assumend to be in eV post_edge_regions = [[20., energy.max()-edge]] return SUPPORTED_ALGORITHMS[algorithm](spectrum, energy, edge, pre_edge_regions, post_edge_regions, parameters=algorithm_parameters) def XASPolynomialNormalization(spectrum, energy, edge=None, pre_edge_regions=None, post_edge_regions=None, parameters=None): if edge in [None, 'Auto']: edge = estimateXANESEdge(spectrum, energy=energy) if parameters is None: parameters = {} pre_edge_order = parameters.get('pre_edge_order', 1) post_edge_order = parameters.get('post_edge_order', 3) xPre, yPre = getRegionsData(energy, spectrum, pre_edge_regions, edge=edge) xPost, yPost = getRegionsData(energy, spectrum, post_edge_regions, edge=edge) # get the proper pre-edge function to be used pre_edge_function = polynom if pre_edge_order in [0, 'Constant']: pre_edge_order = 0 elif pre_edge_order in [1, 'Linear']: pre_edge_order = 1 elif pre_edge_order in [2, 'Parabolic']: pre_edge_order = 2 elif pre_edge_order in [3, 'Cubic']: pre_edge_order = 3 elif pre_edge_order in [-1, 'Victoreen']: pre_edge_order = -1 pre_edge_function = victoreen elif pre_edge_order in [-2, 'Modif. Victoreen']: pre_edge_order = -2 pre_edge_function = modifiedVictoreen else: # case of arriving with a 4th order polynom, for instance pass # calculate pre-edge if pre_edge_order == 0: prePol = [yPre.mean()] elif pre_edge_order > 0: p = numpy.arange(pre_edge_order + 1).astype(numpy.float) prePol = LeastSquaresFit(pre_edge_function, p, xdata=xPre, ydata=yPre, model_deriv=polynomDerivative, weightflag=0, linear=1)[0] elif pre_edge_order == -1: p = numpy.array([1.0, 1.0]) prePol = LeastSquaresFit(pre_edge_function, p, xdata=xPre, ydata=yPre, model_deriv=victoreenDerivative, weightflag=0, linear=1)[0] elif pre_edge_order == -2: p = numpy.array([1.0, 1.0]) prePol = LeastSquaresFit(pre_edge_function, p, xdata=xPre, ydata=yPre, model_deriv=modifiedVictoreenDerivative, weightflag=0, linear=1)[0] # get the proper post-edge function to be used post_edge_function = polynom if post_edge_order in [0, 'Constant']: post_edge_order = 0 elif post_edge_order in [1, 'Linear']: post_edge_order = 1 elif post_edge_order in [2, 'Parabolic']: post_edge_order = 2 elif post_edge_order in [3, 'Cubic']: post_edge_order = 3 elif post_edge_order in [-1, 'Victoreen']: post_edge_order = -1 post_edge_function = victoreen elif post_edge_order in [-2, 'Modif. Victoreen']: post_edge_order = -2 post_edge_function = modifiedVictoreen else: # case of arriving with a 4th order polynom, for instance pass # calculate post-edge baseLine = pre_edge_function(prePol, xPost) if post_edge_order == 0: # just take the average postPol = [(yPost-baseLine).mean()] normalizedSpectrum = (spectrum - pre_edge_function(prePol, energy))/postPol[0] elif post_edge_order > 0: p = numpy.arange(post_edge_order + 1).astype(numpy.float) postPol = LeastSquaresFit(post_edge_function, p, xdata=xPost, ydata=yPost-baseLine, model_deriv=polynomDerivative, weightflag=0, linear=1)[0] normalizedSpectrum = (spectrum - pre_edge_function(prePol, energy))\ /post_edge_function(postPol, energy) elif post_edge_order == -1: p = numpy.array([1.0, 1.0]) postPol = LeastSquaresFit(post_edge_function, p, xdata=xPost, ydata=yPost-baseLine, model_deriv=victoreenDerivative, weightflag=0, linear=1)[0] normalizedSpectrum = (spectrum - pre_edge_function(prePol, energy))\ /post_edge_function(postPol, energy) elif post_edge_order == -2: p = numpy.array([1.0, 1.0]) postPol = LeastSquaresFit(post_edge_function, p, xdata=xPost, ydata=yPost-baseLine, model_deriv=modifiedVictoreenDerivative, weightflag=0, linear=1)[0] normalizedSpectrum = (spectrum - pre_edge_function(prePol, energy))\ /post_edge_function(postPol, energy) jump = post_edge_function(postPol, edge) if DEBUG: plot(energy, spectrum, 'o') plot(xPre, pre_edge_function(prePol, xPre), 'r') plot(xPost, post_edge_function(postPol, xPost)+pre_edge_function(prePol, xPost), 'y') show() return energy, normalizedSpectrum, edge, jump, pre_edge_function, prePol, post_edge_function, postPol def XASVictoreenNormalization(spectrum, energy, edge=None, pre_edge_regions=None, post_edge_regions=None, parameters=None): if edge in [None, 'Auto']: edge = estimateXANESEdge(spectrum, energy=energy) if parameters is None: parameters = {} xPre, yPre = getRegionsData(energy, spectrum, pre_edge_regions) xPost, yPost = getRegionsData(energy, spectrum, post_edge_regions) pre_edge_order = parameters.get('pre_edge_order', 1) post_edge_order = parameters.get('post_edge_order', 1) if pre_edge_order in [1, -1, 'Victoreen']: pre_edge_function = victoreen else: pre_edge_function = modifiedVictoreen if post_edge_order in [1, -1, 'Victoreen']: post_edge_function = victoreen else: post_edge_function = modifiedVictoreen p = numpy.array([1.0, 1.0]) prePol = LeastSquaresFit(pre_edge_function, p, xdata=xPre, ydata=yPre, weightflag=0, linear=1)[0] postPol = LeastSquaresFit(post_edge_function, p, xdata=xPost, ydata=yPost-pre_edge_function(prePol, xPost), weightflag=0, linear=1)[0] normalizedSpectrum = (spectrum - pre_edge_function(prePol, energy))\ /post_edge_function(postPol, energy) if DEBUG: print("VICTOREEN") plot(energy, spectrum, 'o') plot(xPre, pre_edge_function(prePol, xPre), 'r') plot(xPost, post_edge_function(postPol, xPost)+pre_edge_function(prePol, xPost), 'y') show() return energy, normalizedSpectrum, edge SUPPORTED_ALGORITHMS = {"polynomial":XASPolynomialNormalization, "victoreen": XASVictoreenNormalization} if __name__ == "__main__": import sys from PyMca.PyMcaIO import specfilewrapper as specfile import time sf = specfile.Specfile(sys.argv[1]) scan = sf[0] data = scan.data() energy = data[0, :] spectrum = data[1, :] n = 100 t0 = time.time() for i in range(n): edge = estimateXANESEdge(spectrum+i, energy=energy) print("EDGE ELAPSED = ", (time.time() - t0)/float(n)) print("EDGE = %f" % edge) if DEBUG: n = 1 else: n = 100 t0 = time.time() for i in range(n): nEne0, nSpe0 = XASNormalization(spectrum+i, energy, edge=edge, algorithm='polynomial', algorithm_parameters={'pre_edge_order':0, 'post_edge_order':0})[0:2] print("ELAPSED 0 = ", (time.time() - t0)/float(n)) t0 = time.time() for i in range(n): nEneP, nSpeP = XASNormalization(spectrum+i, energy, edge=edge, algorithm='polynomial', algorithm_parameters={'pre_edge_order':1, 'post_edge_order':2})[0:2] print("ELAPSED Poly = ", (time.time() - t0)/float(n)) t0 = time.time() for i in range(n): nEneV, nSpeV = XASNormalization(spectrum+i, energy, edge=edge, algorithm='polynomial', algorithm_parameters={'pre_edge_order':'Victoreen', 'post_edge_order':'Victoreen'})[0:2] print("ELAPSED Victoreen = ", (time.time() - t0)/float(n)) if DEBUG: #plot(energy, spectrum, 'b') plot(nEne0, nSpe0, 'k', label='Polynomial') plot(nEneP, nSpeP, 'b', label='Polynomial') plot(nEneV, nSpeV, 'r', label='Victoreen') show() PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/_xas/0000755000276300001750000000000013205526235020125 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/_xas/setup.py0000644000276300001750000000536213136054446021650 0ustar solebliss00000000000000#!/usr/bin/env python #/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import glob import os import sys import numpy from distutils.core import setup, Extension try: html = False if html: import Cython.Compiler.Options Cython.Compiler.Options.annotate = True from Cython.Distutils import build_ext except: build_ext = None c_files = [os.path.join('src', 'polspl.c'), os.path.join('src', 'bessel0.c')] if build_ext: src = [os.path.join('cython', '_xas.pyx')] else: src = glob.glob(os.path.join('cython', '*.c')) src += c_files if sys.platform == 'win32': extra_compile_args = [] extra_link_args = [] else: # OpenMP and auto-vectorization flags for Colormap and MinMax # extra_compile_args = ['-fopenmp', '-ftree-vectorize'] # extra_link_args = ['-fopenmp'] extra_compile_args = [] extra_link_args = [] setup( name='_xas', ext_modules=[Extension( name="_xas", sources=src, include_dirs=[numpy.get_include(), os.path.join(os.getcwd(), "include")], extra_compile_args=extra_compile_args, extra_link_args=extra_link_args, language="c", )], cmdclass={'build_ext': build_ext}, ) PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/_xas/cython/0000755000276300001750000000000013205526235021431 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/_xas/cython/polspl.pxd0000644000276300001750000000305213136054446023462 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ cimport cython cdef extern from "polspl.h": void polspl(double *, double *, double *, int, double *, double *, int *, int, double *, int) PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/_xas/cython/bessel0.pxd0000644000276300001750000000301013136054446023500 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ cimport cython cdef extern from "bessel0.h": double j0Single(double) void j0Multiple(double *, int) PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/_xas/cython/_xas.pyx0000644000276300001750000001477013136054446023141 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ cimport cython import numpy cimport numpy from polspl cimport polspl as _polspl from bessel0 cimport j0Single, j0Multiple def j0(x): if hasattr(x, "__len__"): return _besselMultiple(x) else: return _besselSingle(x) def _besselMultiple(x): result = numpy.array(x, copy=True, dtype=numpy.float64) cdef double[:] c_x = result cdef int c_npts = c_x.size j0Multiple(&c_x[0], c_npts) return result def _besselSingle(double x): return j0Single(x) def polspl(x, y, w, npts, xl, xh, nr, nc): c = numpy.zeros((36,), dtype=numpy.float64) cdef double[:] c_c = c cdef double[:] c_x = numpy.ascontiguousarray(x, dtype=numpy.float64) cdef double[:] c_y = numpy.ascontiguousarray(y, dtype=numpy.float64) cdef double[:] c_w = numpy.ascontiguousarray(w, dtype=numpy.float64) cdef int c_npts = npts cdef double[:] c_xl = numpy.ascontiguousarray(xl, dtype=numpy.float64) cdef double[:] c_xh = numpy.ascontiguousarray(xh, dtype=numpy.float64) cdef int c_nr = nr cdef int[:] c_nc = numpy.ascontiguousarray(nc, dtype=numpy.int32) cdef int c_sizeC = c_c.size _polspl(&c_x[0], &c_y[0], &c_w[0], c_npts, \ &c_xl[0], &c_xh[0], &c_nc[0], c_nr, &c_c[0], c_sizeC) return c def polspl2(x,y,w,npts,xl0,xh0,nr,nc): # ; # ; few definitions # ; cdef numpy.ndarray[double, ndim=1, mode='c'] buffer_xl0 = \ numpy.ascontiguousarray(xl0, numpy.float64) cdef double * xl = buffer_xl0.data cdef numpy.ndarray[double, ndim=1, mode='c'] buffer_xh0 = \ numpy.ascontiguousarray(xh0, numpy.float64) cdef double * xh = buffer_xh0.data df = numpy.zeros(26) a = numpy.zeros((36,37)) nbs = numpy.zeros(11,dtype=int) cdef double[:] xk0 = numpy.zeros(10) cdef double * xk = &xk0[0] c = numpy.zeros(36) cdef int j=0 cdef int i=0 ne_idl=0 n = 0 cdef int k = 0 cdef int ibl = 0 cdef int ns = 0 cdef int ns1 = 0 nbs[1]=1 for i in range(1,nr+1): n=n+int(nc[i]) nbs[i+1]=n+1 if xl[i] < xh[i]: pass else: t=xl[i] xl[i]=xh[i] xh[i]=t n=n+2*(nr-1) n1=n+1 xl[nr+1]=0. xh[nr+1]=0. # this loop ... for ibl in range(1,nr+1): xk[ibl]=.5*(xh[ibl]+xl[ibl+1]) if (xl[ibl] > xl[ibl+1]): xk[ibl]=.5*(xl[ibl]+xh[ibl+1]) ns=nbs[ibl] ne_idl=nbs[ibl+1]-1 for i in range(1, npts+1): if((x[i] < xl[ibl]) or (x[i] > xh[ibl])): pass else: df[ns]=1.0 ns1=ns+1 for j in range(ns1,ne_idl+1): df[j]=df[j-1]*x[i] for j in range(ns,ne_idl+1): for k in range(j,ne_idl+1): a[j,k]=a[j,k]+df[j]*df[k]*w[i] a[j,n1]=a[j,n1]+df[j]*y[i]*w[i] # ... has to be faster ncol=nbs[nr+1]-1 nk=nr-1 if (nk == 0): pass else: for ik in range(1,nk+1): ncol=ncol+1 ns=nbs[ik] ne_idl=nbs[ik+1]-1 a[ns,ncol]=-1. ns=ns+1 for i in range(ns,ne_idl+1): a[i,ncol]=a[i-1,ncol]*xk[ik] ncol=ncol+1 a[ns,ncol]=-1. ns=ns+1 if (ns > ne_idl): pass else: for i in range(ns,ne_idl+1): a[i,ncol]=(ns-i-2)*numpy.power(xk[ik],(i-ns+1)) ncol=ncol-1 ns=nbs[ik+1] ne_idl=nbs[ik+2]-1 a[ns,ncol]=1.0 ns=ns+1 for i in range(ns,ne_idl+1): a[i,ncol]=a[i-1,ncol]*xk[ik] ncol=ncol+1 a[ns,ncol]=1.0 ns=ns+1 if (ns > ne_idl): pass else: for i in range(ns,ne_idl+1): a[i,ncol]=(i-ns+2)*numpy.power(xk[ik],(i-ns+1)) for i in range(1,n+1): i1=i-1 for j in range(1,i1+1): a[i,j]=a[j,i] nm1=n-1 for i in range(1,nm1+1): i1=i+1 m=i t=numpy.abs(a[i,i]) for j in range(i1,n+1): if (t >= numpy.abs(a[j,i])): pass else: m=j t=numpy.abs(a[j,i]) if (m == i): pass else: for j in range(1,n1+1): t=a[i,j] a[i,j]=a[m,j] a[m,j]=t for j in range(i1,n+1): t=a[j,i]/a[i,i] for k in range(i1,n1+1): a[j,k]=a[j,k]-t*a[i,k] c[n]=a[n,n1]/a[n,n] for i in range(1,nm1+1): ni=n-i t=a[ni,n1] ni1=ni+1 for j in range(ni1,n+1): t=t-c[j]*a[ni,j] c[ni]=t/a[ni,ni] return c PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/_xas/cython/_xas.c0000644000276300001750000335526513136054446022555 0ustar solebliss00000000000000/* Generated by Cython 0.19.1 on Thu Nov 05 18:57:52 2015 */ #define PY_SSIZE_T_CLEAN #ifndef CYTHON_USE_PYLONG_INTERNALS #ifdef PYLONG_BITS_IN_DIGIT #define CYTHON_USE_PYLONG_INTERNALS 0 #else #include "pyconfig.h" #ifdef PYLONG_BITS_IN_DIGIT #define CYTHON_USE_PYLONG_INTERNALS 1 #else #define CYTHON_USE_PYLONG_INTERNALS 0 #endif #endif #endif #include "Python.h" #ifndef Py_PYTHON_H #error Python headers needed to compile C extensions, please install development version of Python. #elif PY_VERSION_HEX < 0x02040000 #error Cython requires Python 2.4+. #else #include /* For offsetof */ #ifndef offsetof #define offsetof(type, member) ( (size_t) & ((type*)0) -> member ) #endif #if !defined(WIN32) && !defined(MS_WINDOWS) #ifndef __stdcall #define __stdcall #endif #ifndef __cdecl #define __cdecl #endif #ifndef __fastcall #define __fastcall #endif #endif #ifndef DL_IMPORT #define DL_IMPORT(t) t #endif #ifndef DL_EXPORT #define DL_EXPORT(t) t #endif #ifndef PY_LONG_LONG #define PY_LONG_LONG LONG_LONG #endif #ifndef Py_HUGE_VAL #define Py_HUGE_VAL HUGE_VAL #endif #ifdef PYPY_VERSION #define CYTHON_COMPILING_IN_PYPY 1 #define CYTHON_COMPILING_IN_CPYTHON 0 #else #define CYTHON_COMPILING_IN_PYPY 0 #define CYTHON_COMPILING_IN_CPYTHON 1 #endif #if PY_VERSION_HEX < 0x02050000 typedef int Py_ssize_t; #define PY_SSIZE_T_MAX INT_MAX #define PY_SSIZE_T_MIN INT_MIN #define PY_FORMAT_SIZE_T "" #define CYTHON_FORMAT_SSIZE_T "" #define PyInt_FromSsize_t(z) PyInt_FromLong(z) #define PyInt_AsSsize_t(o) __Pyx_PyInt_AsInt(o) #define PyNumber_Index(o) ((PyNumber_Check(o) && !PyFloat_Check(o)) ? PyNumber_Int(o) : \ (PyErr_Format(PyExc_TypeError, \ "expected index value, got %.200s", Py_TYPE(o)->tp_name), \ (PyObject*)0)) #define __Pyx_PyIndex_Check(o) (PyNumber_Check(o) && !PyFloat_Check(o) && \ !PyComplex_Check(o)) #define PyIndex_Check __Pyx_PyIndex_Check #define PyErr_WarnEx(category, message, stacklevel) PyErr_Warn(category, message) #define __PYX_BUILD_PY_SSIZE_T "i" #else #define __PYX_BUILD_PY_SSIZE_T "n" #define CYTHON_FORMAT_SSIZE_T "z" #define __Pyx_PyIndex_Check PyIndex_Check #endif #if PY_VERSION_HEX < 0x02060000 #define Py_REFCNT(ob) (((PyObject*)(ob))->ob_refcnt) #define Py_TYPE(ob) (((PyObject*)(ob))->ob_type) #define Py_SIZE(ob) (((PyVarObject*)(ob))->ob_size) #define PyVarObject_HEAD_INIT(type, size) \ PyObject_HEAD_INIT(type) size, #define PyType_Modified(t) typedef struct { void *buf; PyObject *obj; Py_ssize_t len; Py_ssize_t itemsize; int readonly; int ndim; char *format; Py_ssize_t *shape; Py_ssize_t *strides; Py_ssize_t *suboffsets; void *internal; } Py_buffer; #define PyBUF_SIMPLE 0 #define PyBUF_WRITABLE 0x0001 #define PyBUF_FORMAT 0x0004 #define PyBUF_ND 0x0008 #define PyBUF_STRIDES (0x0010 | PyBUF_ND) #define PyBUF_C_CONTIGUOUS (0x0020 | PyBUF_STRIDES) #define PyBUF_F_CONTIGUOUS (0x0040 | PyBUF_STRIDES) #define PyBUF_ANY_CONTIGUOUS (0x0080 | PyBUF_STRIDES) #define PyBUF_INDIRECT (0x0100 | PyBUF_STRIDES) #define PyBUF_RECORDS (PyBUF_STRIDES | PyBUF_FORMAT | PyBUF_WRITABLE) #define PyBUF_FULL (PyBUF_INDIRECT | PyBUF_FORMAT | PyBUF_WRITABLE) typedef int (*getbufferproc)(PyObject *, Py_buffer *, int); typedef void (*releasebufferproc)(PyObject *, Py_buffer *); #endif #if PY_MAJOR_VERSION < 3 #define __Pyx_BUILTIN_MODULE_NAME "__builtin__" #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) \ PyCode_New(a, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) #else #define __Pyx_BUILTIN_MODULE_NAME "builtins" #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) \ PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) #endif #if PY_MAJOR_VERSION < 3 && PY_MINOR_VERSION < 6 #define PyUnicode_FromString(s) PyUnicode_Decode(s, strlen(s), "UTF-8", "strict") #endif #if PY_MAJOR_VERSION >= 3 #define Py_TPFLAGS_CHECKTYPES 0 #define Py_TPFLAGS_HAVE_INDEX 0 #endif #if (PY_VERSION_HEX < 0x02060000) || (PY_MAJOR_VERSION >= 3) #define Py_TPFLAGS_HAVE_NEWBUFFER 0 #endif #if PY_VERSION_HEX < 0x02060000 #define Py_TPFLAGS_HAVE_VERSION_TAG 0 #endif #if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND) #define CYTHON_PEP393_ENABLED 1 #define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ? \ 0 : _PyUnicode_Ready((PyObject *)(op))) #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u) #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i) #define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i) #else #define CYTHON_PEP393_ENABLED 0 #define __Pyx_PyUnicode_READY(op) (0) #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u) #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i])) #define __Pyx_PyUnicode_READ(k, d, i) ((k=k), (Py_UCS4)(((Py_UNICODE*)d)[i])) #endif #if PY_MAJOR_VERSION >= 3 #define PyBaseString_Type PyUnicode_Type #define PyStringObject PyUnicodeObject #define PyString_Type PyUnicode_Type #define PyString_Check PyUnicode_Check #define PyString_CheckExact PyUnicode_CheckExact #endif #if PY_VERSION_HEX < 0x02060000 #define PyBytesObject PyStringObject #define PyBytes_Type PyString_Type #define PyBytes_Check PyString_Check #define PyBytes_CheckExact PyString_CheckExact #define PyBytes_FromString PyString_FromString #define PyBytes_FromStringAndSize PyString_FromStringAndSize #define PyBytes_FromFormat PyString_FromFormat #define PyBytes_DecodeEscape PyString_DecodeEscape #define PyBytes_AsString PyString_AsString #define PyBytes_AsStringAndSize PyString_AsStringAndSize #define PyBytes_Size PyString_Size #define PyBytes_AS_STRING PyString_AS_STRING #define PyBytes_GET_SIZE PyString_GET_SIZE #define PyBytes_Repr PyString_Repr #define PyBytes_Concat PyString_Concat #define PyBytes_ConcatAndDel PyString_ConcatAndDel #endif #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj) #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj) #else #define __Pyx_PyBaseString_Check(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj) || \ PyString_Check(obj) || PyUnicode_Check(obj)) #define __Pyx_PyBaseString_CheckExact(obj) (Py_TYPE(obj) == &PyBaseString_Type) #endif #if PY_VERSION_HEX < 0x02060000 #define PySet_Check(obj) PyObject_TypeCheck(obj, &PySet_Type) #define PyFrozenSet_Check(obj) PyObject_TypeCheck(obj, &PyFrozenSet_Type) #endif #ifndef PySet_CheckExact #define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type) #endif #define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) #if PY_MAJOR_VERSION >= 3 #define PyIntObject PyLongObject #define PyInt_Type PyLong_Type #define PyInt_Check(op) PyLong_Check(op) #define PyInt_CheckExact(op) PyLong_CheckExact(op) #define PyInt_FromString PyLong_FromString #define PyInt_FromUnicode PyLong_FromUnicode #define PyInt_FromLong PyLong_FromLong #define PyInt_FromSize_t PyLong_FromSize_t #define PyInt_FromSsize_t PyLong_FromSsize_t #define PyInt_AsLong PyLong_AsLong #define PyInt_AS_LONG PyLong_AS_LONG #define PyInt_AsSsize_t PyLong_AsSsize_t #define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask #endif #if PY_MAJOR_VERSION >= 3 #define PyBoolObject PyLongObject #endif #if PY_VERSION_HEX < 0x03020000 typedef long Py_hash_t; #define __Pyx_PyInt_FromHash_t PyInt_FromLong #define __Pyx_PyInt_AsHash_t PyInt_AsLong #else #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t #define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t #endif #if (PY_MAJOR_VERSION < 3) || (PY_VERSION_HEX >= 0x03010300) #define __Pyx_PySequence_GetSlice(obj, a, b) PySequence_GetSlice(obj, a, b) #define __Pyx_PySequence_SetSlice(obj, a, b, value) PySequence_SetSlice(obj, a, b, value) #define __Pyx_PySequence_DelSlice(obj, a, b) PySequence_DelSlice(obj, a, b) #else #define __Pyx_PySequence_GetSlice(obj, a, b) (unlikely(!(obj)) ? \ (PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), (PyObject*)0) : \ (likely((obj)->ob_type->tp_as_mapping) ? (PySequence_GetSlice(obj, a, b)) : \ (PyErr_Format(PyExc_TypeError, "'%.200s' object is unsliceable", (obj)->ob_type->tp_name), (PyObject*)0))) #define __Pyx_PySequence_SetSlice(obj, a, b, value) (unlikely(!(obj)) ? \ (PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), -1) : \ (likely((obj)->ob_type->tp_as_mapping) ? (PySequence_SetSlice(obj, a, b, value)) : \ (PyErr_Format(PyExc_TypeError, "'%.200s' object doesn't support slice assignment", (obj)->ob_type->tp_name), -1))) #define __Pyx_PySequence_DelSlice(obj, a, b) (unlikely(!(obj)) ? \ (PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), -1) : \ (likely((obj)->ob_type->tp_as_mapping) ? (PySequence_DelSlice(obj, a, b)) : \ (PyErr_Format(PyExc_TypeError, "'%.200s' object doesn't support slice deletion", (obj)->ob_type->tp_name), -1))) #endif #if PY_MAJOR_VERSION >= 3 #define PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : PyInstanceMethod_New(func)) #endif #if PY_VERSION_HEX < 0x02050000 #define __Pyx_GetAttrString(o,n) PyObject_GetAttrString((o),((char *)(n))) #define __Pyx_SetAttrString(o,n,a) PyObject_SetAttrString((o),((char *)(n)),(a)) #define __Pyx_DelAttrString(o,n) PyObject_DelAttrString((o),((char *)(n))) #else #define __Pyx_GetAttrString(o,n) PyObject_GetAttrString((o),(n)) #define __Pyx_SetAttrString(o,n,a) PyObject_SetAttrString((o),(n),(a)) #define __Pyx_DelAttrString(o,n) PyObject_DelAttrString((o),(n)) #endif #if PY_VERSION_HEX < 0x02050000 #define __Pyx_NAMESTR(n) ((char *)(n)) #define __Pyx_DOCSTR(n) ((char *)(n)) #else #define __Pyx_NAMESTR(n) (n) #define __Pyx_DOCSTR(n) (n) #endif #ifndef CYTHON_INLINE #if defined(__GNUC__) #define CYTHON_INLINE __inline__ #elif defined(_MSC_VER) #define CYTHON_INLINE __inline #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define CYTHON_INLINE inline #else #define CYTHON_INLINE #endif #endif #ifndef CYTHON_RESTRICT #if defined(__GNUC__) #define CYTHON_RESTRICT __restrict__ #elif defined(_MSC_VER) #define CYTHON_RESTRICT __restrict #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define CYTHON_RESTRICT restrict #else #define CYTHON_RESTRICT #endif #endif #ifdef NAN #define __PYX_NAN() ((float) NAN) #else static CYTHON_INLINE float __PYX_NAN() { /* Initialize NaN. The sign is irrelevant, an exponent with all bits 1 and a nonzero mantissa means NaN. If the first bit in the mantissa is 1, it is a quiet NaN. */ float value; memset(&value, 0xFF, sizeof(value)); return value; } #endif #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y) #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y) #else #define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y) #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y) #endif #ifndef __PYX_EXTERN_C #ifdef __cplusplus #define __PYX_EXTERN_C extern "C" #else #define __PYX_EXTERN_C extern #endif #endif #if defined(WIN32) || defined(MS_WINDOWS) #define _USE_MATH_DEFINES #endif #include #define __PYX_HAVE__PyMca5__PyMcaPhysics__xas___xas #define __PYX_HAVE_API__PyMca5__PyMcaPhysics__xas___xas #include "string.h" #include "stdio.h" #include "stdlib.h" #include "numpy/arrayobject.h" #include "numpy/ufuncobject.h" #include "polspl.h" #include "bessel0.h" #include "pythread.h" #include "pystate.h" #ifdef _OPENMP #include #endif /* _OPENMP */ #ifdef PYREX_WITHOUT_ASSERTIONS #define CYTHON_WITHOUT_ASSERTIONS #endif #ifndef CYTHON_UNUSED # if defined(__GNUC__) # if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) # define CYTHON_UNUSED __attribute__ ((__unused__)) # else # define CYTHON_UNUSED # endif # elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) # define CYTHON_UNUSED __attribute__ ((__unused__)) # else # define CYTHON_UNUSED # endif #endif typedef struct {PyObject **p; char *s; const Py_ssize_t n; const char* encoding; const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; /*proto*/ #define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0 #define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT 0 #define __PYX_DEFAULT_STRING_ENCODING "" #define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString #define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject*); static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); #define __Pyx_PyBytes_FromString PyBytes_FromString #define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(char*); #if PY_MAJOR_VERSION < 3 #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize #else #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize #endif #define __Pyx_PyObject_AsUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s)) #define __Pyx_PyObject_FromUString(s) __Pyx_PyObject_FromString((char*)s) #define __Pyx_PyBytes_FromUString(s) __Pyx_PyBytes_FromString((char*)s) #define __Pyx_PyStr_FromUString(s) __Pyx_PyStr_FromString((char*)s) #define __Pyx_PyUnicode_FromUString(s) __Pyx_PyUnicode_FromString((char*)s) #if PY_MAJOR_VERSION < 3 static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { const Py_UNICODE *u_end = u; while (*u_end++) ; return u_end - u - 1; } #else #define __Pyx_Py_UNICODE_strlen Py_UNICODE_strlen #endif #define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u)) #define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode #define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode #define __Pyx_Owned_Py_None(b) (Py_INCREF(Py_None), Py_None) #define __Pyx_PyBool_FromLong(b) ((b) ? (Py_INCREF(Py_True), Py_True) : (Py_INCREF(Py_False), Py_False)) static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x); static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject*); #if CYTHON_COMPILING_IN_CPYTHON #define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) #else #define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) #endif #define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII static int __Pyx_sys_getdefaultencoding_not_ascii; static int __Pyx_init_sys_getdefaultencoding_params() { PyObject* sys = NULL; PyObject* default_encoding = NULL; PyObject* ascii_chars_u = NULL; PyObject* ascii_chars_b = NULL; sys = PyImport_ImportModule("sys"); if (sys == NULL) goto bad; default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); if (default_encoding == NULL) goto bad; if (strcmp(PyBytes_AsString(default_encoding), "ascii") == 0) { __Pyx_sys_getdefaultencoding_not_ascii = 0; } else { const char* default_encoding_c = PyBytes_AS_STRING(default_encoding); char ascii_chars[128]; int c; for (c = 0; c < 128; c++) { ascii_chars[c] = c; } __Pyx_sys_getdefaultencoding_not_ascii = 1; ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); if (ascii_chars_u == NULL) goto bad; ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); if (ascii_chars_b == NULL || strncmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { PyErr_Format( PyExc_ValueError, "This module compiled with c_string_encoding=ascii, but default encoding '%s' is not a superset of ascii.", default_encoding_c); goto bad; } } Py_XDECREF(sys); Py_XDECREF(default_encoding); Py_XDECREF(ascii_chars_u); Py_XDECREF(ascii_chars_b); return 0; bad: Py_XDECREF(sys); Py_XDECREF(default_encoding); Py_XDECREF(ascii_chars_u); Py_XDECREF(ascii_chars_b); return -1; } #endif #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) #else #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT static char* __PYX_DEFAULT_STRING_ENCODING; static int __Pyx_init_sys_getdefaultencoding_params() { PyObject* sys = NULL; PyObject* default_encoding = NULL; char* default_encoding_c; sys = PyImport_ImportModule("sys"); if (sys == NULL) goto bad; default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); if (default_encoding == NULL) goto bad; default_encoding_c = PyBytes_AS_STRING(default_encoding); __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c)); strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); Py_DECREF(sys); Py_DECREF(default_encoding); return 0; bad: Py_XDECREF(sys); Py_XDECREF(default_encoding); return -1; } #endif #endif #ifdef __GNUC__ /* Test for GCC > 2.95 */ #if __GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)) #define likely(x) __builtin_expect(!!(x), 1) #define unlikely(x) __builtin_expect(!!(x), 0) #else /* __GNUC__ > 2 ... */ #define likely(x) (x) #define unlikely(x) (x) #endif /* __GNUC__ > 2 ... */ #else /* __GNUC__ */ #define likely(x) (x) #define unlikely(x) (x) #endif /* __GNUC__ */ static PyObject *__pyx_m; static PyObject *__pyx_d; static PyObject *__pyx_b; static PyObject *__pyx_empty_tuple; static PyObject *__pyx_empty_bytes; static int __pyx_lineno; static int __pyx_clineno = 0; static const char * __pyx_cfilenm= __FILE__; static const char *__pyx_filename; #if !defined(CYTHON_CCOMPLEX) #if defined(__cplusplus) #define CYTHON_CCOMPLEX 1 #elif defined(_Complex_I) #define CYTHON_CCOMPLEX 1 #else #define CYTHON_CCOMPLEX 0 #endif #endif #if CYTHON_CCOMPLEX #ifdef __cplusplus #include #else #include #endif #endif #if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__) #undef _Complex_I #define _Complex_I 1.0fj #endif static const char *__pyx_f[] = { "_xas.pyx", "numpy.pxd", "stringsource", "type.pxd", }; struct __pyx_memoryview_obj; typedef struct { struct __pyx_memoryview_obj *memview; char *data; Py_ssize_t shape[8]; Py_ssize_t strides[8]; Py_ssize_t suboffsets[8]; } __Pyx_memviewslice; #define IS_UNSIGNED(type) (((type) -1) > 0) struct __Pyx_StructField_; #define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0) typedef struct { const char* name; /* for error messages only */ struct __Pyx_StructField_* fields; size_t size; /* sizeof(type) */ size_t arraysize[8]; /* length of array in each dimension */ int ndim; char typegroup; /* _R_eal, _C_omplex, Signed _I_nt, _U_nsigned int, _S_truct, _P_ointer, _O_bject, c_H_ar */ char is_unsigned; int flags; } __Pyx_TypeInfo; typedef struct __Pyx_StructField_ { __Pyx_TypeInfo* type; const char* name; size_t offset; } __Pyx_StructField; typedef struct { __Pyx_StructField* field; size_t parent_offset; } __Pyx_BufFmt_StackElem; typedef struct { __Pyx_StructField root; __Pyx_BufFmt_StackElem* head; size_t fmt_offset; size_t new_count, enc_count; size_t struct_alignment; int is_complex; char enc_type; char new_packmode; char enc_packmode; char is_valid_array; } __Pyx_BufFmt_Context; #include #ifndef CYTHON_ATOMICS #define CYTHON_ATOMICS 1 #endif #define __pyx_atomic_int_type int #if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 || \ (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) && \ !defined(__i386__) #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1) #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1) #ifdef __PYX_DEBUG_ATOMICS #warning "Using GNU atomics" #endif #elif CYTHON_ATOMICS && MSC_VER #include #define __pyx_atomic_int_type LONG #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #warning "Using MSVC atomics" #endif #elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0 #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #warning "Using Intel atomics" #endif #else #undef CYTHON_ATOMICS #define CYTHON_ATOMICS 0 #ifdef __PYX_DEBUG_ATOMICS #warning "Not using atomics" #endif #endif typedef volatile __pyx_atomic_int_type __pyx_atomic_int; #if CYTHON_ATOMICS #define __pyx_add_acquisition_count(memview) \ __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview) \ __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #else #define __pyx_add_acquisition_count(memview) \ __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview) \ __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #endif /* "numpy.pxd":723 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t */ typedef npy_int8 __pyx_t_5numpy_int8_t; /* "numpy.pxd":724 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t */ typedef npy_int16 __pyx_t_5numpy_int16_t; /* "numpy.pxd":725 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< * ctypedef npy_int64 int64_t * #ctypedef npy_int96 int96_t */ typedef npy_int32 __pyx_t_5numpy_int32_t; /* "numpy.pxd":726 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< * #ctypedef npy_int96 int96_t * #ctypedef npy_int128 int128_t */ typedef npy_int64 __pyx_t_5numpy_int64_t; /* "numpy.pxd":730 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; /* "numpy.pxd":731 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; /* "numpy.pxd":732 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< * ctypedef npy_uint64 uint64_t * #ctypedef npy_uint96 uint96_t */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; /* "numpy.pxd":733 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< * #ctypedef npy_uint96 uint96_t * #ctypedef npy_uint128 uint128_t */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; /* "numpy.pxd":737 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< * ctypedef npy_float64 float64_t * #ctypedef npy_float80 float80_t */ typedef npy_float32 __pyx_t_5numpy_float32_t; /* "numpy.pxd":738 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< * #ctypedef npy_float80 float80_t * #ctypedef npy_float128 float128_t */ typedef npy_float64 __pyx_t_5numpy_float64_t; /* "numpy.pxd":747 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t */ typedef npy_long __pyx_t_5numpy_int_t; /* "numpy.pxd":748 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< * ctypedef npy_longlong longlong_t * */ typedef npy_longlong __pyx_t_5numpy_long_t; /* "numpy.pxd":749 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< * * ctypedef npy_ulong uint_t */ typedef npy_longlong __pyx_t_5numpy_longlong_t; /* "numpy.pxd":751 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t */ typedef npy_ulong __pyx_t_5numpy_uint_t; /* "numpy.pxd":752 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulonglong_t * */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; /* "numpy.pxd":753 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< * * ctypedef npy_intp intp_t */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; /* "numpy.pxd":755 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< * ctypedef npy_uintp uintp_t * */ typedef npy_intp __pyx_t_5numpy_intp_t; /* "numpy.pxd":756 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< * * ctypedef npy_double float_t */ typedef npy_uintp __pyx_t_5numpy_uintp_t; /* "numpy.pxd":758 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t */ typedef npy_double __pyx_t_5numpy_float_t; /* "numpy.pxd":759 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< * ctypedef npy_longdouble longdouble_t * */ typedef npy_double __pyx_t_5numpy_double_t; /* "numpy.pxd":760 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< * * ctypedef npy_cfloat cfloat_t */ typedef npy_longdouble __pyx_t_5numpy_longdouble_t; #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< float > __pyx_t_float_complex; #else typedef float _Complex __pyx_t_float_complex; #endif #else typedef struct { float real, imag; } __pyx_t_float_complex; #endif #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< double > __pyx_t_double_complex; #else typedef double _Complex __pyx_t_double_complex; #endif #else typedef struct { double real, imag; } __pyx_t_double_complex; #endif /*--- Type declarations ---*/ struct __pyx_memoryview_obj; struct __pyx_array_obj; struct __pyx_MemviewEnum_obj; struct __pyx_memoryviewslice_obj; /* "numpy.pxd":762 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; /* "numpy.pxd":763 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< * ctypedef npy_clongdouble clongdouble_t * */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; /* "numpy.pxd":764 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< * * ctypedef npy_cdouble complex_t */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; /* "numpy.pxd":766 * ctypedef npy_clongdouble clongdouble_t * * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew1(a): */ typedef npy_cdouble __pyx_t_5numpy_complex_t; /* "View.MemoryView":308 * * @cname('__pyx_memoryview') * cdef class memoryview(object): # <<<<<<<<<<<<<< * * cdef object obj */ struct __pyx_memoryview_obj { PyObject_HEAD struct __pyx_vtabstruct_memoryview *__pyx_vtab; PyObject *obj; PyObject *_size; PyObject *_array_interface; PyThread_type_lock lock; __pyx_atomic_int acquisition_count[2]; __pyx_atomic_int *acquisition_count_aligned_p; Py_buffer view; int flags; int dtype_is_object; __Pyx_TypeInfo *typeinfo; }; /* "View.MemoryView":96 * * @cname("__pyx_array") * cdef class array: # <<<<<<<<<<<<<< * * cdef: */ struct __pyx_array_obj { PyObject_HEAD char *data; Py_ssize_t len; char *format; int ndim; Py_ssize_t *_shape; Py_ssize_t *_strides; Py_ssize_t itemsize; PyObject *mode; PyObject *_format; void (*callback_free_data)(void *); int free_data; int dtype_is_object; }; /* "View.MemoryView":275 * * @cname('__pyx_MemviewEnum') * cdef class Enum(object): # <<<<<<<<<<<<<< * cdef object name * def __init__(self, name): */ struct __pyx_MemviewEnum_obj { PyObject_HEAD PyObject *name; }; /* "View.MemoryView":927 * * @cname('__pyx_memoryviewslice') * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< * "Internal class for passing memoryview slices to Python" * */ struct __pyx_memoryviewslice_obj { struct __pyx_memoryview_obj __pyx_base; __Pyx_memviewslice from_slice; PyObject *from_object; PyObject *(*to_object_func)(char *); int (*to_dtype_func)(char *, PyObject *); }; /* "View.MemoryView":308 * * @cname('__pyx_memoryview') * cdef class memoryview(object): # <<<<<<<<<<<<<< * * cdef object obj */ struct __pyx_vtabstruct_memoryview { char *(*get_item_pointer)(struct __pyx_memoryview_obj *, PyObject *); PyObject *(*is_slice)(struct __pyx_memoryview_obj *, PyObject *); PyObject *(*setitem_slice_assignment)(struct __pyx_memoryview_obj *, PyObject *, PyObject *); PyObject *(*setitem_slice_assign_scalar)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *); PyObject *(*setitem_indexed)(struct __pyx_memoryview_obj *, PyObject *, PyObject *); PyObject *(*convert_item_to_object)(struct __pyx_memoryview_obj *, char *); PyObject *(*assign_item_from_object)(struct __pyx_memoryview_obj *, char *, PyObject *); }; static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview; /* "View.MemoryView":927 * * @cname('__pyx_memoryviewslice') * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< * "Internal class for passing memoryview slices to Python" * */ struct __pyx_vtabstruct__memoryviewslice { struct __pyx_vtabstruct_memoryview __pyx_base; }; static struct __pyx_vtabstruct__memoryviewslice *__pyx_vtabptr__memoryviewslice; #ifndef CYTHON_REFNANNY #define CYTHON_REFNANNY 0 #endif #if CYTHON_REFNANNY typedef struct { void (*INCREF)(void*, PyObject*, int); void (*DECREF)(void*, PyObject*, int); void (*GOTREF)(void*, PyObject*, int); void (*GIVEREF)(void*, PyObject*, int); void* (*SetupContext)(const char*, int, const char*); void (*FinishContext)(void**); } __Pyx_RefNannyAPIStruct; static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL; static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname); /*proto*/ #define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL; #ifdef WITH_THREAD #define __Pyx_RefNannySetupContext(name, acquire_gil) \ if (acquire_gil) { \ PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); \ __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__); \ PyGILState_Release(__pyx_gilstate_save); \ } else { \ __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__); \ } #else #define __Pyx_RefNannySetupContext(name, acquire_gil) \ __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__) #endif #define __Pyx_RefNannyFinishContext() \ __Pyx_RefNanny->FinishContext(&__pyx_refnanny) #define __Pyx_INCREF(r) __Pyx_RefNanny->INCREF(__pyx_refnanny, (PyObject *)(r), __LINE__) #define __Pyx_DECREF(r) __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__) #define __Pyx_GOTREF(r) __Pyx_RefNanny->GOTREF(__pyx_refnanny, (PyObject *)(r), __LINE__) #define __Pyx_GIVEREF(r) __Pyx_RefNanny->GIVEREF(__pyx_refnanny, (PyObject *)(r), __LINE__) #define __Pyx_XINCREF(r) do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0) #define __Pyx_XDECREF(r) do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0) #define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0) #define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0) #else #define __Pyx_RefNannyDeclarations #define __Pyx_RefNannySetupContext(name, acquire_gil) #define __Pyx_RefNannyFinishContext() #define __Pyx_INCREF(r) Py_INCREF(r) #define __Pyx_DECREF(r) Py_DECREF(r) #define __Pyx_GOTREF(r) #define __Pyx_GIVEREF(r) #define __Pyx_XINCREF(r) Py_XINCREF(r) #define __Pyx_XDECREF(r) Py_XDECREF(r) #define __Pyx_XGOTREF(r) #define __Pyx_XGIVEREF(r) #endif /* CYTHON_REFNANNY */ #define __Pyx_CLEAR(r) do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0) #define __Pyx_XCLEAR(r) do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0) #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) { PyTypeObject* tp = Py_TYPE(obj); if (likely(tp->tp_getattro)) return tp->tp_getattro(obj, attr_name); #if PY_MAJOR_VERSION < 3 if (likely(tp->tp_getattr)) return tp->tp_getattr(obj, PyString_AS_STRING(attr_name)); #endif return PyObject_GetAttr(obj, attr_name); } #else #define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n) #endif static PyObject *__Pyx_GetBuiltinName(PyObject *name); /*proto*/ static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name); /*proto*/ static void __Pyx_RaiseBufferIndexError(int axis); /*proto*/ static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack); static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info); #define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d #define __Pyx_MEMVIEW_DIRECT 1 #define __Pyx_MEMVIEW_PTR 2 #define __Pyx_MEMVIEW_FULL 4 #define __Pyx_MEMVIEW_CONTIG 8 #define __Pyx_MEMVIEW_STRIDED 16 #define __Pyx_MEMVIEW_FOLLOW 32 #define __Pyx_IS_C_CONTIG 1 #define __Pyx_IS_F_CONTIG 2 static int __Pyx_init_memviewslice( struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference); static CYTHON_INLINE int __pyx_add_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); static CYTHON_INLINE int __pyx_sub_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); #define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p) #define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview)) #define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__) #define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__) static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int); static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int); static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact, Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found); /*proto*/ static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name); /*proto*/ static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[], \ PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, \ const char* function_name); /*proto*/ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); /*proto*/ #define __Pyx_SetItemInt(o, i, v, size, to_py_func, is_list, wraparound, boundscheck) \ (((size) <= sizeof(Py_ssize_t)) ? \ __Pyx_SetItemInt_Fast(o, i, v, is_list, wraparound, boundscheck) : \ __Pyx_SetItemInt_Generic(o, to_py_func(i), v)) static CYTHON_INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v); static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list, int wraparound, int boundscheck); #define __Pyx_GetItemInt(o, i, size, to_py_func, is_list, wraparound, boundscheck) \ (((size) <= sizeof(Py_ssize_t)) ? \ __Pyx_GetItemInt_Fast(o, i, is_list, wraparound, boundscheck) : \ __Pyx_GetItemInt_Generic(o, to_py_func(i))) #define __Pyx_GetItemInt_List(o, i, size, to_py_func, is_list, wraparound, boundscheck) \ (((size) <= sizeof(Py_ssize_t)) ? \ __Pyx_GetItemInt_List_Fast(o, i, wraparound, boundscheck) : \ __Pyx_GetItemInt_Generic(o, to_py_func(i))) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); #define __Pyx_GetItemInt_Tuple(o, i, size, to_py_func, is_list, wraparound, boundscheck) \ (((size) <= sizeof(Py_ssize_t)) ? \ __Pyx_GetItemInt_Tuple_Fast(o, i, wraparound, boundscheck) : \ __Pyx_GetItemInt_Generic(o, to_py_func(i))) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, int wraparound, int boundscheck); static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb); /*proto*/ static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb); /*proto*/ static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); /*proto*/ static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); static CYTHON_INLINE int __Pyx_IterFinish(void); /*proto*/ static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected); /*proto*/ static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed, const char *name, int exact); /*proto*/ static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *); /*proto*/ static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *); /*proto*/ static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t); /* proto */ #ifndef __PYX_FORCE_INIT_THREADS #define __PYX_FORCE_INIT_THREADS 0 #endif #define UNARY_NEG_WOULD_OVERFLOW(x) (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x))) static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals); /*proto*/ static PyObject *get_memview(PyObject *__pyx_v_self); /*proto*/ static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)); #include static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); /*proto*/ static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static PyObject *__pyx_memoryview_transpose(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview__get__base(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_shape(PyObject *__pyx_v_self); /*proto*/ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len)) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) #endif static PyObject *__pyx_memoryview_get_strides(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_suboffsets(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_ndim(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_itemsize(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_nbytes(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_size(PyObject *__pyx_v_self); /*proto*/ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_PyList_Append(L,x) PyList_Append(L,x) #endif static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname); static CYTHON_INLINE long __Pyx_div_long(long, long); /* proto */ static PyObject *__pyx_memoryviewslice__get__base(PyObject *__pyx_v_self); /*proto*/ static void __Pyx_WriteUnraisable(const char *name, int clineno, int lineno, const char *filename); /*proto*/ static int __Pyx_SetVtable(PyObject *dict, void *vtable); /*proto*/ typedef struct { Py_ssize_t shape, strides, suboffsets; } __Pyx_Buf_DimInfo; typedef struct { size_t refcount; Py_buffer pybuffer; } __Pyx_Buffer; typedef struct { __Pyx_Buffer *rcbuffer; char *data; __Pyx_Buf_DimInfo diminfo[8]; } __Pyx_LocalBuf_ND; #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); static void __Pyx_ReleaseBuffer(Py_buffer *view); #else #define __Pyx_GetBuffer PyObject_GetBuffer #define __Pyx_ReleaseBuffer PyBuffer_Release #endif static Py_ssize_t __Pyx_zeros[] = {0, 0, 0, 0, 0, 0, 0, 0}; static Py_ssize_t __Pyx_minusones[] = {-1, -1, -1, -1, -1, -1, -1, -1}; static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level); /*proto*/ static PyObject *__pyx_memview_get_double(const char *itemp); /* proto */ static int __pyx_memview_set_double(const char *itemp, PyObject *obj); /* proto */ #if CYTHON_CCOMPLEX #ifdef __cplusplus #define __Pyx_CREAL(z) ((z).real()) #define __Pyx_CIMAG(z) ((z).imag()) #else #define __Pyx_CREAL(z) (__real__(z)) #define __Pyx_CIMAG(z) (__imag__(z)) #endif #else #define __Pyx_CREAL(z) ((z).real) #define __Pyx_CIMAG(z) ((z).imag) #endif #if defined(_WIN32) && defined(__cplusplus) && CYTHON_CCOMPLEX #define __Pyx_SET_CREAL(z,x) ((z).real(x)) #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) #else #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) #endif static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float); #if CYTHON_CCOMPLEX #define __Pyx_c_eqf(a, b) ((a)==(b)) #define __Pyx_c_sumf(a, b) ((a)+(b)) #define __Pyx_c_difff(a, b) ((a)-(b)) #define __Pyx_c_prodf(a, b) ((a)*(b)) #define __Pyx_c_quotf(a, b) ((a)/(b)) #define __Pyx_c_negf(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zerof(z) ((z)==(float)0) #define __Pyx_c_conjf(z) (::std::conj(z)) #if 1 #define __Pyx_c_absf(z) (::std::abs(z)) #define __Pyx_c_powf(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zerof(z) ((z)==0) #define __Pyx_c_conjf(z) (conjf(z)) #if 1 #define __Pyx_c_absf(z) (cabsf(z)) #define __Pyx_c_powf(a, b) (cpowf(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex); static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex); #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex, __pyx_t_float_complex); #endif #endif static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double); #if CYTHON_CCOMPLEX #define __Pyx_c_eq(a, b) ((a)==(b)) #define __Pyx_c_sum(a, b) ((a)+(b)) #define __Pyx_c_diff(a, b) ((a)-(b)) #define __Pyx_c_prod(a, b) ((a)*(b)) #define __Pyx_c_quot(a, b) ((a)/(b)) #define __Pyx_c_neg(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zero(z) ((z)==(double)0) #define __Pyx_c_conj(z) (::std::conj(z)) #if 1 #define __Pyx_c_abs(z) (::std::abs(z)) #define __Pyx_c_pow(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zero(z) ((z)==0) #define __Pyx_c_conj(z) (conj(z)) #if 1 #define __Pyx_c_abs(z) (cabs(z)) #define __Pyx_c_pow(a, b) (cpow(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex); static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex); #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex, __pyx_t_double_complex); #endif #endif static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice *mvs, char order, int ndim); static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize); static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object); static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig); static CYTHON_INLINE void __Pyx_ExceptionSave(PyObject **type, PyObject **value, PyObject **tb); /*proto*/ static void __Pyx_ExceptionReset(PyObject *type, PyObject *value, PyObject *tb); /*proto*/ static CYTHON_INLINE unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject *); static CYTHON_INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject *); static CYTHON_INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject *); static CYTHON_INLINE char __Pyx_PyInt_AsChar(PyObject *); static CYTHON_INLINE short __Pyx_PyInt_AsShort(PyObject *); static CYTHON_INLINE int __Pyx_PyInt_AsInt(PyObject *); static CYTHON_INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject *); static CYTHON_INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject *); static CYTHON_INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject *); static CYTHON_INLINE int __Pyx_PyInt_AsLongDouble(PyObject *); static CYTHON_INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject *); static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject *); static CYTHON_INLINE long __Pyx_PyInt_AsLong(PyObject *); static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject *); static CYTHON_INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject *); static CYTHON_INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject *); static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b); static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj); static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_double(PyObject *); static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *); static int __Pyx_check_binary_version(void); #if !defined(__Pyx_PyIdentifier_FromString) #if PY_MAJOR_VERSION < 3 #define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s) #else #define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s) #endif #endif static PyObject *__Pyx_ImportModule(const char *name); /*proto*/ static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict); /*proto*/ typedef struct { int code_line; PyCodeObject* code_object; } __Pyx_CodeObjectCacheEntry; struct __Pyx_CodeObjectCache { int count; int max_count; __Pyx_CodeObjectCacheEntry* entries; }; static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); static PyCodeObject *__pyx_find_code_object(int code_line); static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename); /*proto*/ static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); /*proto*/ /* Module declarations from 'cython.view' */ /* Module declarations from 'cython' */ /* Module declarations from 'cpython.buffer' */ /* Module declarations from 'cpython.ref' */ /* Module declarations from 'libc.string' */ /* Module declarations from 'libc.stdio' */ /* Module declarations from 'cpython.object' */ /* Module declarations from '__builtin__' */ /* Module declarations from 'cpython.type' */ static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0; /* Module declarations from 'libc.stdlib' */ /* Module declarations from 'numpy' */ /* Module declarations from 'numpy' */ static PyTypeObject *__pyx_ptype_5numpy_dtype = 0; static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0; static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0; static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0; static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0; static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/ /* Module declarations from 'polspl' */ /* Module declarations from 'bessel0' */ /* Module declarations from 'PyMca5.PyMcaPhysics.xas._xas' */ static PyTypeObject *__pyx_memoryview_type = 0; static PyTypeObject *__pyx_array_type = 0; static PyTypeObject *__pyx_MemviewEnum_type = 0; static PyTypeObject *__pyx_memoryviewslice_type = 0; static PyObject *generic = 0; static PyObject *strided = 0; static PyObject *indirect = 0; static PyObject *contiguous = 0; static PyObject *indirect_contiguous = 0; static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ static void *__pyx_align_pointer(void *, size_t); /*proto*/ static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ static PyObject *_unellipsify(PyObject *, int); /*proto*/ static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, int); /*proto*/ static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/ static int __pyx_memoryview_err(PyObject *, char *); /*proto*/ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ static __Pyx_TypeInfo __Pyx_TypeInfo_double = { "double", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 }; static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 }; #define __Pyx_MODULE_NAME "PyMca5.PyMcaPhysics.xas._xas" int __pyx_module_is_main_PyMca5__PyMcaPhysics__xas___xas = 0; /* Implementation of 'PyMca5.PyMcaPhysics.xas._xas' */ static PyObject *__pyx_builtin_range; static PyObject *__pyx_builtin_ValueError; static PyObject *__pyx_builtin_RuntimeError; static PyObject *__pyx_builtin_MemoryError; static PyObject *__pyx_builtin_enumerate; static PyObject *__pyx_builtin_Ellipsis; static PyObject *__pyx_builtin_TypeError; static PyObject *__pyx_builtin_xrange; static PyObject *__pyx_builtin_id; static PyObject *__pyx_builtin_IndexError; static PyObject *__pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_j0(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x); /* proto */ static PyObject *__pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_2_besselMultiple(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x); /* proto */ static PyObject *__pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_4_besselSingle(CYTHON_UNUSED PyObject *__pyx_self, double __pyx_v_x); /* proto */ static PyObject *__pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_6polspl(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x, PyObject *__pyx_v_y, PyObject *__pyx_v_w, PyObject *__pyx_v_npts, PyObject *__pyx_v_xl, PyObject *__pyx_v_xh, PyObject *__pyx_v_nr, PyObject *__pyx_v_nc); /* proto */ static PyObject *__pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_8polspl2(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x, PyObject *__pyx_v_y, PyObject *__pyx_v_w, PyObject *__pyx_v_npts, PyObject *__pyx_v_xl0, PyObject *__pyx_v_xh0, PyObject *__pyx_v_nr, PyObject *__pyx_v_nc); /* proto */ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */ static int __pyx_array_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ static int __pyx_array_getbuffer_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static void __pyx_array_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ static PyObject *get_memview_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_array_MemoryView_5array_6__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ static PyObject *__pyx_array_MemoryView_5array_8__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ static int __pyx_array_MemoryView_5array_10__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */ static int __pyx_MemviewEnum_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */ static PyObject *__pyx_MemviewEnum_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ static int __pyx_memoryview_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */ static void __pyx_memoryview_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */ static int __pyx_memoryview_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */ static int __pyx_memoryview_getbuffer_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static PyObject *__pyx_memoryview_transpose_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview__get__base_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_shape_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_strides_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_suboffsets_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_ndim_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_itemsize_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_nbytes_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_size_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static Py_ssize_t __pyx_memoryview_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static void __pyx_memoryviewslice_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryviewslice__get__base_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static char __pyx_k_9[] = "ndarray is not C contiguous"; static char __pyx_k_11[] = "ndarray is not Fortran contiguous"; static char __pyx_k_13[] = "Non-native byte order not supported"; static char __pyx_k_15[] = "unknown dtype code in numpy.pxd (%d)"; static char __pyx_k_16[] = "Format string allocated too short, see comment in numpy.pxd"; static char __pyx_k_19[] = "Format string allocated too short."; static char __pyx_k_21[] = "Empty shape tuple for cython.array"; static char __pyx_k_23[] = "itemsize <= 0 for cython.array"; static char __pyx_k_26[] = "unable to allocate shape or strides."; static char __pyx_k_28[] = "Invalid shape in axis %d: %d."; static char __pyx_k_29[] = "Invalid mode, expected 'c' or 'fortran', got %s"; static char __pyx_k_31[] = "unable to allocate array data."; static char __pyx_k_33[] = "Can only create a buffer that is contiguous in memory."; static char __pyx_k_35[] = "Unable to convert item to object"; static char __pyx_k_37[] = "Buffer view does not expose strides"; static char __pyx_k_39[] = ""; static char __pyx_k_40[] = ""; static char __pyx_k_43[] = "Cannot index with type '%s'"; static char __pyx_k_45[] = "Indirect dimensions not supported"; static char __pyx_k_47[] = "Index out of bounds (axis %d)"; static char __pyx_k_48[] = "Step may not be zero (axis %d)"; static char __pyx_k_49[] = "All dimensions preceding dimension %d must be indexed and not sliced"; static char __pyx_k_50[] = "Out of bounds on buffer access (axis %d)"; static char __pyx_k_51[] = "Cannot transpose memoryview with indirect dimensions"; static char __pyx_k_52[] = "got differing extents in dimension %d (got %d and %d)"; static char __pyx_k_53[] = "Dimension %d is not direct"; static char __pyx_k_56[] = "C:\\GIT\\PYMCA_REFERENCE\\pymca\\PyMca5\\PyMcaPhysics\\xas\\_xas\\cython\\_xas.pyx"; static char __pyx_k_57[] = "PyMca5.PyMcaPhysics.xas._xas"; static char __pyx_k_66[] = "getbuffer(obj, view, flags)"; static char __pyx_k_67[] = ""; static char __pyx_k_69[] = ""; static char __pyx_k_71[] = ""; static char __pyx_k_73[] = ""; static char __pyx_k_75[] = ""; static char __pyx_k__B[] = "B"; static char __pyx_k__H[] = "H"; static char __pyx_k__I[] = "I"; static char __pyx_k__L[] = "L"; static char __pyx_k__O[] = "O"; static char __pyx_k__Q[] = "Q"; static char __pyx_k__a[] = "a"; static char __pyx_k__b[] = "b"; static char __pyx_k__c[] = "c"; static char __pyx_k__d[] = "d"; static char __pyx_k__f[] = "f"; static char __pyx_k__g[] = "g"; static char __pyx_k__h[] = "h"; static char __pyx_k__i[] = "i"; static char __pyx_k__j[] = "j"; static char __pyx_k__k[] = "k"; static char __pyx_k__l[] = "l"; static char __pyx_k__m[] = "m"; static char __pyx_k__n[] = "n"; static char __pyx_k__q[] = "q"; static char __pyx_k__t[] = "t"; static char __pyx_k__w[] = "w"; static char __pyx_k__x[] = "x"; static char __pyx_k__y[] = "y"; static char __pyx_k__Zd[] = "Zd"; static char __pyx_k__Zf[] = "Zf"; static char __pyx_k__Zg[] = "Zg"; static char __pyx_k__df[] = "df"; static char __pyx_k__i1[] = "i1"; static char __pyx_k__id[] = "id"; static char __pyx_k__ik[] = "ik"; static char __pyx_k__j0[] = "j0"; static char __pyx_k__n1[] = "n1"; static char __pyx_k__nc[] = "nc"; static char __pyx_k__ni[] = "ni"; static char __pyx_k__nk[] = "nk"; static char __pyx_k__nr[] = "nr"; static char __pyx_k__ns[] = "ns"; static char __pyx_k__xh[] = "xh"; static char __pyx_k__xk[] = "xk"; static char __pyx_k__xl[] = "xl"; static char __pyx_k__abs[] = "abs"; static char __pyx_k__c_c[] = "c_c"; static char __pyx_k__c_w[] = "c_w"; static char __pyx_k__c_x[] = "c_x"; static char __pyx_k__c_y[] = "c_y"; static char __pyx_k__ibl[] = "ibl"; static char __pyx_k__nbs[] = "nbs"; static char __pyx_k__ni1[] = "ni1"; static char __pyx_k__nm1[] = "nm1"; static char __pyx_k__ns1[] = "ns1"; static char __pyx_k__obj[] = "obj"; static char __pyx_k__xh0[] = "xh0"; static char __pyx_k__xk0[] = "xk0"; static char __pyx_k__xl0[] = "xl0"; static char __pyx_k__base[] = "base"; static char __pyx_k__c_nc[] = "c_nc"; static char __pyx_k__c_nr[] = "c_nr"; static char __pyx_k__c_xh[] = "c_xh"; static char __pyx_k__c_xl[] = "c_xl"; static char __pyx_k__copy[] = "copy"; static char __pyx_k__mode[] = "mode"; static char __pyx_k__name[] = "name"; static char __pyx_k__ncol[] = "ncol"; static char __pyx_k__ndim[] = "ndim"; static char __pyx_k__npts[] = "npts"; static char __pyx_k__pack[] = "pack"; static char __pyx_k__size[] = "size"; static char __pyx_k__step[] = "step"; static char __pyx_k__stop[] = "stop"; static char __pyx_k__ASCII[] = "ASCII"; static char __pyx_k__array[] = "array"; static char __pyx_k__dtype[] = "dtype"; static char __pyx_k__error[] = "error"; static char __pyx_k__flags[] = "flags"; static char __pyx_k__int32[] = "int32"; static char __pyx_k__numpy[] = "numpy"; static char __pyx_k__power[] = "power"; static char __pyx_k__range[] = "range"; static char __pyx_k__shape[] = "shape"; static char __pyx_k__start[] = "start"; static char __pyx_k__zeros[] = "zeros"; static char __pyx_k__c_npts[] = "c_npts"; static char __pyx_k__decode[] = "decode"; static char __pyx_k__encode[] = "encode"; static char __pyx_k__extend[] = "extend"; static char __pyx_k__format[] = "format"; static char __pyx_k__ne_idl[] = "ne_idl"; static char __pyx_k__polspl[] = "polspl"; static char __pyx_k__result[] = "result"; static char __pyx_k__struct[] = "struct"; static char __pyx_k__unpack[] = "unpack"; static char __pyx_k__xrange[] = "xrange"; static char __pyx_k____len__[] = "__len__"; static char __pyx_k__c_sizeC[] = "c_sizeC"; static char __pyx_k__float64[] = "float64"; static char __pyx_k__fortran[] = "fortran"; static char __pyx_k__memview[] = "memview"; static char __pyx_k__polspl2[] = "polspl2"; static char __pyx_k__Ellipsis[] = "Ellipsis"; static char __pyx_k____main__[] = "__main__"; static char __pyx_k____name__[] = "__name__"; static char __pyx_k____test__[] = "__test__"; static char __pyx_k__itemsize[] = "itemsize"; static char __pyx_k__TypeError[] = "TypeError"; static char __pyx_k____class__[] = "__class__"; static char __pyx_k__enumerate[] = "enumerate"; static char __pyx_k__IndexError[] = "IndexError"; static char __pyx_k__ValueError[] = "ValueError"; static char __pyx_k____import__[] = "__import__"; static char __pyx_k__buffer_xh0[] = "buffer_xh0"; static char __pyx_k__buffer_xl0[] = "buffer_xl0"; static char __pyx_k__MemoryError[] = "MemoryError"; static char __pyx_k__RuntimeError[] = "RuntimeError"; static char __pyx_k___besselSingle[] = "_besselSingle"; static char __pyx_k____pyx_vtable__[] = "__pyx_vtable__"; static char __pyx_k____pyx_getbuffer[] = "__pyx_getbuffer"; static char __pyx_k___besselMultiple[] = "_besselMultiple"; static char __pyx_k__allocate_buffer[] = "allocate_buffer"; static char __pyx_k__dtype_is_object[] = "dtype_is_object"; static char __pyx_k__ascontiguousarray[] = "ascontiguousarray"; static char __pyx_k____pyx_releasebuffer[] = "__pyx_releasebuffer"; static PyObject *__pyx_kp_u_11; static PyObject *__pyx_kp_u_13; static PyObject *__pyx_kp_u_15; static PyObject *__pyx_kp_u_16; static PyObject *__pyx_kp_u_19; static PyObject *__pyx_kp_s_21; static PyObject *__pyx_kp_s_23; static PyObject *__pyx_kp_s_26; static PyObject *__pyx_kp_s_28; static PyObject *__pyx_kp_s_29; static PyObject *__pyx_kp_s_31; static PyObject *__pyx_kp_s_33; static PyObject *__pyx_kp_s_35; static PyObject *__pyx_kp_s_37; static PyObject *__pyx_kp_s_39; static PyObject *__pyx_kp_s_40; static PyObject *__pyx_kp_s_43; static PyObject *__pyx_kp_s_45; static PyObject *__pyx_kp_s_50; static PyObject *__pyx_kp_s_52; static PyObject *__pyx_kp_s_56; static PyObject *__pyx_n_s_57; static PyObject *__pyx_kp_s_67; static PyObject *__pyx_kp_s_69; static PyObject *__pyx_kp_s_71; static PyObject *__pyx_kp_s_73; static PyObject *__pyx_kp_s_75; static PyObject *__pyx_kp_u_9; static PyObject *__pyx_n_s__ASCII; static PyObject *__pyx_n_s__Ellipsis; static PyObject *__pyx_n_s__IndexError; static PyObject *__pyx_n_s__MemoryError; static PyObject *__pyx_n_b__O; static PyObject *__pyx_n_s__RuntimeError; static PyObject *__pyx_n_s__TypeError; static PyObject *__pyx_n_s__ValueError; static PyObject *__pyx_n_s____class__; static PyObject *__pyx_n_s____import__; static PyObject *__pyx_n_s____len__; static PyObject *__pyx_n_s____main__; static PyObject *__pyx_n_s____name__; static PyObject *__pyx_n_s____pyx_getbuffer; static PyObject *__pyx_n_s____pyx_releasebuffer; static PyObject *__pyx_n_s____pyx_vtable__; static PyObject *__pyx_n_s____test__; static PyObject *__pyx_n_s___besselMultiple; static PyObject *__pyx_n_s___besselSingle; static PyObject *__pyx_n_s__a; static PyObject *__pyx_n_s__abs; static PyObject *__pyx_n_s__allocate_buffer; static PyObject *__pyx_n_s__array; static PyObject *__pyx_n_s__ascontiguousarray; static PyObject *__pyx_n_s__base; static PyObject *__pyx_n_s__buffer_xh0; static PyObject *__pyx_n_s__buffer_xl0; static PyObject *__pyx_n_b__c; static PyObject *__pyx_n_s__c; static PyObject *__pyx_n_u__c; static PyObject *__pyx_n_s__c_c; static PyObject *__pyx_n_s__c_nc; static PyObject *__pyx_n_s__c_npts; static PyObject *__pyx_n_s__c_nr; static PyObject *__pyx_n_s__c_sizeC; static PyObject *__pyx_n_s__c_w; static PyObject *__pyx_n_s__c_x; static PyObject *__pyx_n_s__c_xh; static PyObject *__pyx_n_s__c_xl; static PyObject *__pyx_n_s__c_y; static PyObject *__pyx_n_s__copy; static PyObject *__pyx_n_s__decode; static PyObject *__pyx_n_s__df; static PyObject *__pyx_n_s__dtype; static PyObject *__pyx_n_s__dtype_is_object; static PyObject *__pyx_n_s__encode; static PyObject *__pyx_n_s__enumerate; static PyObject *__pyx_n_s__error; static PyObject *__pyx_n_s__extend; static PyObject *__pyx_n_s__flags; static PyObject *__pyx_n_s__float64; static PyObject *__pyx_n_s__format; static PyObject *__pyx_n_b__fortran; static PyObject *__pyx_n_s__fortran; static PyObject *__pyx_n_s__i; static PyObject *__pyx_n_s__i1; static PyObject *__pyx_n_s__ibl; static PyObject *__pyx_n_s__id; static PyObject *__pyx_n_s__ik; static PyObject *__pyx_n_s__int32; static PyObject *__pyx_n_s__itemsize; static PyObject *__pyx_n_s__j; static PyObject *__pyx_n_s__j0; static PyObject *__pyx_n_s__k; static PyObject *__pyx_n_s__m; static PyObject *__pyx_n_s__memview; static PyObject *__pyx_n_s__mode; static PyObject *__pyx_n_s__n; static PyObject *__pyx_n_s__n1; static PyObject *__pyx_n_s__name; static PyObject *__pyx_n_s__nbs; static PyObject *__pyx_n_s__nc; static PyObject *__pyx_n_s__ncol; static PyObject *__pyx_n_s__ndim; static PyObject *__pyx_n_s__ne_idl; static PyObject *__pyx_n_s__ni; static PyObject *__pyx_n_s__ni1; static PyObject *__pyx_n_s__nk; static PyObject *__pyx_n_s__nm1; static PyObject *__pyx_n_s__npts; static PyObject *__pyx_n_s__nr; static PyObject *__pyx_n_s__ns; static PyObject *__pyx_n_s__ns1; static PyObject *__pyx_n_s__numpy; static PyObject *__pyx_n_s__obj; static PyObject *__pyx_n_s__pack; static PyObject *__pyx_n_s__polspl; static PyObject *__pyx_n_s__polspl2; static PyObject *__pyx_n_s__power; static PyObject *__pyx_n_s__range; static PyObject *__pyx_n_s__result; static PyObject *__pyx_n_s__shape; static PyObject *__pyx_n_s__size; static PyObject *__pyx_n_s__start; static PyObject *__pyx_n_s__step; static PyObject *__pyx_n_s__stop; static PyObject *__pyx_n_s__struct; static PyObject *__pyx_n_s__t; static PyObject *__pyx_n_s__unpack; static PyObject *__pyx_n_s__w; static PyObject *__pyx_n_s__x; static PyObject *__pyx_n_s__xh; static PyObject *__pyx_n_s__xh0; static PyObject *__pyx_n_s__xk; static PyObject *__pyx_n_s__xk0; static PyObject *__pyx_n_s__xl; static PyObject *__pyx_n_s__xl0; static PyObject *__pyx_n_s__xrange; static PyObject *__pyx_n_s__y; static PyObject *__pyx_n_s__zeros; static PyObject *__pyx_int_0; static PyObject *__pyx_int_1; static PyObject *__pyx_int_2; static PyObject *__pyx_int_neg_1; static PyObject *__pyx_int_10; static PyObject *__pyx_int_11; static PyObject *__pyx_int_15; static PyObject *__pyx_int_26; static PyObject *__pyx_int_36; static PyObject *__pyx_int_37; static PyObject *__pyx_k_tuple_1; static PyObject *__pyx_k_tuple_2; static PyObject *__pyx_k_tuple_3; static PyObject *__pyx_k_tuple_4; static PyObject *__pyx_k_tuple_5; static PyObject *__pyx_k_tuple_6; static PyObject *__pyx_k_tuple_7; static PyObject *__pyx_k_tuple_8; static PyObject *__pyx_k_tuple_10; static PyObject *__pyx_k_tuple_12; static PyObject *__pyx_k_tuple_14; static PyObject *__pyx_k_tuple_17; static PyObject *__pyx_k_tuple_18; static PyObject *__pyx_k_tuple_20; static PyObject *__pyx_k_tuple_22; static PyObject *__pyx_k_tuple_24; static PyObject *__pyx_k_tuple_25; static PyObject *__pyx_k_tuple_27; static PyObject *__pyx_k_tuple_30; static PyObject *__pyx_k_tuple_32; static PyObject *__pyx_k_tuple_34; static PyObject *__pyx_k_tuple_36; static PyObject *__pyx_k_tuple_38; static PyObject *__pyx_k_tuple_41; static PyObject *__pyx_k_tuple_42; static PyObject *__pyx_k_tuple_44; static PyObject *__pyx_k_tuple_46; static PyObject *__pyx_k_tuple_54; static PyObject *__pyx_k_tuple_58; static PyObject *__pyx_k_tuple_60; static PyObject *__pyx_k_tuple_62; static PyObject *__pyx_k_tuple_64; static PyObject *__pyx_k_tuple_68; static PyObject *__pyx_k_tuple_70; static PyObject *__pyx_k_tuple_72; static PyObject *__pyx_k_tuple_74; static PyObject *__pyx_k_tuple_76; static PyObject *__pyx_k_codeobj_55; static PyObject *__pyx_k_codeobj_59; static PyObject *__pyx_k_codeobj_61; static PyObject *__pyx_k_codeobj_63; static PyObject *__pyx_k_codeobj_65; /* Python wrapper */ static PyObject *__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_1j0(PyObject *__pyx_self, PyObject *__pyx_v_x); /*proto*/ static PyMethodDef __pyx_mdef_6PyMca5_12PyMcaPhysics_3xas_4_xas_1j0 = {__Pyx_NAMESTR("j0"), (PyCFunction)__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_1j0, METH_O, __Pyx_DOCSTR(0)}; static PyObject *__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_1j0(PyObject *__pyx_self, PyObject *__pyx_v_x) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("j0 (wrapper)", 0); __pyx_r = __pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_j0(__pyx_self, ((PyObject *)__pyx_v_x)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":35 * from bessel0 cimport j0Single, j0Multiple * * def j0(x): # <<<<<<<<<<<<<< * if hasattr(x, "__len__"): * return _besselMultiple(x) */ static PyObject *__pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_j0(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("j0", 0); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":36 * * def j0(x): * if hasattr(x, "__len__"): # <<<<<<<<<<<<<< * return _besselMultiple(x) * else: */ __pyx_t_1 = PyObject_HasAttr(__pyx_v_x, ((PyObject *)__pyx_n_s____len__)); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 36; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":37 * def j0(x): * if hasattr(x, "__len__"): * return _besselMultiple(x) # <<<<<<<<<<<<<< * else: * return _besselSingle(x) */ __Pyx_XDECREF(__pyx_r); __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s___besselMultiple); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_INCREF(__pyx_v_x); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_v_x); __Pyx_GIVEREF(__pyx_v_x); __pyx_t_5 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_r = __pyx_t_5; __pyx_t_5 = 0; goto __pyx_L0; goto __pyx_L3; } /*else*/ { /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":39 * return _besselMultiple(x) * else: * return _besselSingle(x) # <<<<<<<<<<<<<< * * def _besselMultiple(x): */ __Pyx_XDECREF(__pyx_r); __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s___besselSingle); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 39; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 39; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_INCREF(__pyx_v_x); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_v_x); __Pyx_GIVEREF(__pyx_v_x); __pyx_t_3 = PyObject_Call(__pyx_t_5, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 39; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_r = __pyx_t_3; __pyx_t_3 = 0; goto __pyx_L0; } __pyx_L3:; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("PyMca5.PyMcaPhysics.xas._xas.j0", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_3_besselMultiple(PyObject *__pyx_self, PyObject *__pyx_v_x); /*proto*/ static PyMethodDef __pyx_mdef_6PyMca5_12PyMcaPhysics_3xas_4_xas_3_besselMultiple = {__Pyx_NAMESTR("_besselMultiple"), (PyCFunction)__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_3_besselMultiple, METH_O, __Pyx_DOCSTR(0)}; static PyObject *__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_3_besselMultiple(PyObject *__pyx_self, PyObject *__pyx_v_x) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("_besselMultiple (wrapper)", 0); __pyx_r = __pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_2_besselMultiple(__pyx_self, ((PyObject *)__pyx_v_x)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":41 * return _besselSingle(x) * * def _besselMultiple(x): # <<<<<<<<<<<<<< * result = numpy.array(x, copy=True, dtype=numpy.float64) * cdef double[:] c_x = result */ static PyObject *__pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_2_besselMultiple(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x) { PyObject *__pyx_v_result = NULL; __Pyx_memviewslice __pyx_v_c_x = { 0, 0, { 0 }, { 0 }, { 0 } }; int __pyx_v_c_npts; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; __Pyx_memviewslice __pyx_t_6 = { 0, 0, { 0 }, { 0 }, { 0 } }; int __pyx_t_7; Py_ssize_t __pyx_t_8; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("_besselMultiple", 0); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":42 * * def _besselMultiple(x): * result = numpy.array(x, copy=True, dtype=numpy.float64) # <<<<<<<<<<<<<< * cdef double[:] c_x = result * cdef int c_npts = c_x.size */ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 42; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__array); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 42; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 42; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_INCREF(__pyx_v_x); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_x); __Pyx_GIVEREF(__pyx_v_x); __pyx_t_3 = PyDict_New(); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 42; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __pyx_t_4 = __Pyx_PyBool_FromLong(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 42; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); if (PyDict_SetItem(__pyx_t_3, ((PyObject *)__pyx_n_s__copy), __pyx_t_4) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 42; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 42; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s__float64); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 42; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (PyDict_SetItem(__pyx_t_3, ((PyObject *)__pyx_n_s__dtype), __pyx_t_5) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 42; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_5 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_1), ((PyObject *)__pyx_t_3)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 42; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_v_result = __pyx_t_5; __pyx_t_5 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":43 * def _besselMultiple(x): * result = numpy.array(x, copy=True, dtype=numpy.float64) * cdef double[:] c_x = result # <<<<<<<<<<<<<< * cdef int c_npts = c_x.size * j0Multiple(&c_x[0], c_npts) */ __pyx_t_6 = __Pyx_PyObject_to_MemoryviewSlice_ds_double(__pyx_v_result); if (unlikely(!__pyx_t_6.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 43; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_c_x = __pyx_t_6; __pyx_t_6.memview = NULL; __pyx_t_6.data = NULL; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":44 * result = numpy.array(x, copy=True, dtype=numpy.float64) * cdef double[:] c_x = result * cdef int c_npts = c_x.size # <<<<<<<<<<<<<< * j0Multiple(&c_x[0], c_npts) * return result */ __pyx_t_5 = __pyx_memoryview_fromslice(__pyx_v_c_x, 1, (PyObject *(*)(char *)) __pyx_memview_get_double, (int (*)(char *, PyObject *)) __pyx_memview_set_double, 0);; if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 44; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s__size); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 44; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyInt_AsInt(__pyx_t_3); if (unlikely((__pyx_t_7 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 44; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_c_npts = __pyx_t_7; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":45 * cdef double[:] c_x = result * cdef int c_npts = c_x.size * j0Multiple(&c_x[0], c_npts) # <<<<<<<<<<<<<< * return result * */ __pyx_t_8 = 0; __pyx_t_7 = -1; if (__pyx_t_8 < 0) { __pyx_t_8 += __pyx_v_c_x.shape[0]; if (unlikely(__pyx_t_8 < 0)) __pyx_t_7 = 0; } else if (unlikely(__pyx_t_8 >= __pyx_v_c_x.shape[0])) __pyx_t_7 = 0; if (unlikely(__pyx_t_7 != -1)) { __Pyx_RaiseBufferIndexError(__pyx_t_7); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 45; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } j0Multiple((&(*((double *) ( /* dim=0 */ (__pyx_v_c_x.data + __pyx_t_8 * __pyx_v_c_x.strides[0]) )))), __pyx_v_c_npts); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":46 * cdef int c_npts = c_x.size * j0Multiple(&c_x[0], c_npts) * return result # <<<<<<<<<<<<<< * * def _besselSingle(double x): */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_result); __pyx_r = __pyx_v_result; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __PYX_XDEC_MEMVIEW(&__pyx_t_6, 1); __Pyx_AddTraceback("PyMca5.PyMcaPhysics.xas._xas._besselMultiple", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF(__pyx_v_result); __PYX_XDEC_MEMVIEW(&__pyx_v_c_x, 1); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_5_besselSingle(PyObject *__pyx_self, PyObject *__pyx_arg_x); /*proto*/ static PyMethodDef __pyx_mdef_6PyMca5_12PyMcaPhysics_3xas_4_xas_5_besselSingle = {__Pyx_NAMESTR("_besselSingle"), (PyCFunction)__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_5_besselSingle, METH_O, __Pyx_DOCSTR(0)}; static PyObject *__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_5_besselSingle(PyObject *__pyx_self, PyObject *__pyx_arg_x) { double __pyx_v_x; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("_besselSingle (wrapper)", 0); assert(__pyx_arg_x); { __pyx_v_x = __pyx_PyFloat_AsDouble(__pyx_arg_x); if (unlikely((__pyx_v_x == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } goto __pyx_L4_argument_unpacking_done; __pyx_L3_error:; __Pyx_AddTraceback("PyMca5.PyMcaPhysics.xas._xas._besselSingle", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return NULL; __pyx_L4_argument_unpacking_done:; __pyx_r = __pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_4_besselSingle(__pyx_self, ((double)__pyx_v_x)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":48 * return result * * def _besselSingle(double x): # <<<<<<<<<<<<<< * return j0Single(x) * */ static PyObject *__pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_4_besselSingle(CYTHON_UNUSED PyObject *__pyx_self, double __pyx_v_x) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("_besselSingle", 0); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":49 * * def _besselSingle(double x): * return j0Single(x) # <<<<<<<<<<<<<< * * def polspl(x, y, w, npts, xl, xh, nr, nc): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyFloat_FromDouble(j0Single(__pyx_v_x)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 49; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("PyMca5.PyMcaPhysics.xas._xas._besselSingle", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_7polspl(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ static PyMethodDef __pyx_mdef_6PyMca5_12PyMcaPhysics_3xas_4_xas_7polspl = {__Pyx_NAMESTR("polspl"), (PyCFunction)__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_7polspl, METH_VARARGS|METH_KEYWORDS, __Pyx_DOCSTR(0)}; static PyObject *__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_7polspl(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_x = 0; PyObject *__pyx_v_y = 0; PyObject *__pyx_v_w = 0; PyObject *__pyx_v_npts = 0; PyObject *__pyx_v_xl = 0; PyObject *__pyx_v_xh = 0; PyObject *__pyx_v_nr = 0; PyObject *__pyx_v_nc = 0; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("polspl (wrapper)", 0); { static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__x,&__pyx_n_s__y,&__pyx_n_s__w,&__pyx_n_s__npts,&__pyx_n_s__xl,&__pyx_n_s__xh,&__pyx_n_s__nr,&__pyx_n_s__nc,0}; PyObject* values[8] = {0,0,0,0,0,0,0,0}; if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = PyDict_Size(__pyx_kwds); switch (pos_args) { case 0: if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__x)) != 0)) kw_args--; else goto __pyx_L5_argtuple_error; case 1: if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__y)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl", 1, 8, 8, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 2: if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__w)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl", 1, 8, 8, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 3: if (likely((values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__npts)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl", 1, 8, 8, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 4: if (likely((values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__xl)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl", 1, 8, 8, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 5: if (likely((values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__xh)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl", 1, 8, 8, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 6: if (likely((values[6] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__nr)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl", 1, 8, 8, 6); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 7: if (likely((values[7] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__nc)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl", 1, 8, 8, 7); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } if (unlikely(kw_args > 0)) { if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "polspl") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } else if (PyTuple_GET_SIZE(__pyx_args) != 8) { goto __pyx_L5_argtuple_error; } else { values[0] = PyTuple_GET_ITEM(__pyx_args, 0); values[1] = PyTuple_GET_ITEM(__pyx_args, 1); values[2] = PyTuple_GET_ITEM(__pyx_args, 2); values[3] = PyTuple_GET_ITEM(__pyx_args, 3); values[4] = PyTuple_GET_ITEM(__pyx_args, 4); values[5] = PyTuple_GET_ITEM(__pyx_args, 5); values[6] = PyTuple_GET_ITEM(__pyx_args, 6); values[7] = PyTuple_GET_ITEM(__pyx_args, 7); } __pyx_v_x = values[0]; __pyx_v_y = values[1]; __pyx_v_w = values[2]; __pyx_v_npts = values[3]; __pyx_v_xl = values[4]; __pyx_v_xh = values[5]; __pyx_v_nr = values[6]; __pyx_v_nc = values[7]; } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("polspl", 1, 8, 8, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("PyMca5.PyMcaPhysics.xas._xas.polspl", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return NULL; __pyx_L4_argument_unpacking_done:; __pyx_r = __pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_6polspl(__pyx_self, __pyx_v_x, __pyx_v_y, __pyx_v_w, __pyx_v_npts, __pyx_v_xl, __pyx_v_xh, __pyx_v_nr, __pyx_v_nc); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":51 * return j0Single(x) * * def polspl(x, y, w, npts, xl, xh, nr, nc): # <<<<<<<<<<<<<< * c = numpy.zeros((36,), dtype=numpy.float64) * cdef double[:] c_c = c */ static PyObject *__pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_6polspl(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x, PyObject *__pyx_v_y, PyObject *__pyx_v_w, PyObject *__pyx_v_npts, PyObject *__pyx_v_xl, PyObject *__pyx_v_xh, PyObject *__pyx_v_nr, PyObject *__pyx_v_nc) { PyObject *__pyx_v_c = NULL; __Pyx_memviewslice __pyx_v_c_c = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_memviewslice __pyx_v_c_x = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_memviewslice __pyx_v_c_y = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_memviewslice __pyx_v_c_w = { 0, 0, { 0 }, { 0 }, { 0 } }; int __pyx_v_c_npts; __Pyx_memviewslice __pyx_v_c_xl = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_memviewslice __pyx_v_c_xh = { 0, 0, { 0 }, { 0 }, { 0 } }; int __pyx_v_c_nr; __Pyx_memviewslice __pyx_v_c_nc = { 0, 0, { 0 }, { 0 }, { 0 } }; int __pyx_v_c_sizeC; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; __Pyx_memviewslice __pyx_t_5 = { 0, 0, { 0 }, { 0 }, { 0 } }; PyObject *__pyx_t_6 = NULL; __Pyx_memviewslice __pyx_t_7 = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_memviewslice __pyx_t_8 = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_memviewslice __pyx_t_9 = { 0, 0, { 0 }, { 0 }, { 0 } }; int __pyx_t_10; __Pyx_memviewslice __pyx_t_11 = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_memviewslice __pyx_t_12 = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_memviewslice __pyx_t_13 = { 0, 0, { 0 }, { 0 }, { 0 } }; Py_ssize_t __pyx_t_14; Py_ssize_t __pyx_t_15; Py_ssize_t __pyx_t_16; Py_ssize_t __pyx_t_17; Py_ssize_t __pyx_t_18; Py_ssize_t __pyx_t_19; Py_ssize_t __pyx_t_20; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("polspl", 0); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":52 * * def polspl(x, y, w, npts, xl, xh, nr, nc): * c = numpy.zeros((36,), dtype=numpy.float64) # <<<<<<<<<<<<<< * cdef double[:] c_c = c * cdef double[:] c_x = numpy.ascontiguousarray(x, */ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__zeros); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s__float64); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (PyDict_SetItem(__pyx_t_1, ((PyObject *)__pyx_n_s__dtype), __pyx_t_4) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_4 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_k_tuple_2), ((PyObject *)__pyx_t_1)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_v_c = __pyx_t_4; __pyx_t_4 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":53 * def polspl(x, y, w, npts, xl, xh, nr, nc): * c = numpy.zeros((36,), dtype=numpy.float64) * cdef double[:] c_c = c # <<<<<<<<<<<<<< * cdef double[:] c_x = numpy.ascontiguousarray(x, * dtype=numpy.float64) */ __pyx_t_5 = __Pyx_PyObject_to_MemoryviewSlice_ds_double(__pyx_v_c); if (unlikely(!__pyx_t_5.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 53; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_c_c = __pyx_t_5; __pyx_t_5.memview = NULL; __pyx_t_5.data = NULL; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":54 * c = numpy.zeros((36,), dtype=numpy.float64) * cdef double[:] c_c = c * cdef double[:] c_x = numpy.ascontiguousarray(x, # <<<<<<<<<<<<<< * dtype=numpy.float64) * cdef double[:] c_y = numpy.ascontiguousarray(y, */ __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 54; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s__ascontiguousarray); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 54; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 54; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_INCREF(__pyx_v_x); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_v_x); __Pyx_GIVEREF(__pyx_v_x); __pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 54; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":55 * cdef double[:] c_c = c * cdef double[:] c_x = numpy.ascontiguousarray(x, * dtype=numpy.float64) # <<<<<<<<<<<<<< * cdef double[:] c_y = numpy.ascontiguousarray(y, * dtype=numpy.float64) */ __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s__float64); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (PyDict_SetItem(__pyx_t_2, ((PyObject *)__pyx_n_s__dtype), __pyx_t_6) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 54; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __pyx_t_6 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_4), ((PyObject *)__pyx_t_2)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 54; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_t_7 = __Pyx_PyObject_to_MemoryviewSlice_ds_double(__pyx_t_6); if (unlikely(!__pyx_t_7.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 54; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __pyx_v_c_x = __pyx_t_7; __pyx_t_7.memview = NULL; __pyx_t_7.data = NULL; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":56 * cdef double[:] c_x = numpy.ascontiguousarray(x, * dtype=numpy.float64) * cdef double[:] c_y = numpy.ascontiguousarray(y, # <<<<<<<<<<<<<< * dtype=numpy.float64) * cdef double[:] c_w = numpy.ascontiguousarray(w, */ __pyx_t_6 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s__ascontiguousarray); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __Pyx_INCREF(__pyx_v_y); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_v_y); __Pyx_GIVEREF(__pyx_v_y); __pyx_t_4 = PyDict_New(); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":57 * dtype=numpy.float64) * cdef double[:] c_y = numpy.ascontiguousarray(y, * dtype=numpy.float64) # <<<<<<<<<<<<<< * cdef double[:] c_w = numpy.ascontiguousarray(w, * dtype=numpy.float64) */ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__float64); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; if (PyDict_SetItem(__pyx_t_4, ((PyObject *)__pyx_n_s__dtype), __pyx_t_3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_6), ((PyObject *)__pyx_t_4)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_t_8 = __Pyx_PyObject_to_MemoryviewSlice_ds_double(__pyx_t_3); if (unlikely(!__pyx_t_8.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_c_y = __pyx_t_8; __pyx_t_8.memview = NULL; __pyx_t_8.data = NULL; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":58 * cdef double[:] c_y = numpy.ascontiguousarray(y, * dtype=numpy.float64) * cdef double[:] c_w = numpy.ascontiguousarray(w, # <<<<<<<<<<<<<< * dtype=numpy.float64) * cdef int c_npts = npts */ __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s__ascontiguousarray); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(__pyx_v_w); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_w); __Pyx_GIVEREF(__pyx_v_w); __pyx_t_6 = PyDict_New(); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_6)); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":59 * dtype=numpy.float64) * cdef double[:] c_w = numpy.ascontiguousarray(w, * dtype=numpy.float64) # <<<<<<<<<<<<<< * cdef int c_npts = npts * cdef double[:] c_xl = numpy.ascontiguousarray(xl, */ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s__float64); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; if (PyDict_SetItem(__pyx_t_6, ((PyObject *)__pyx_n_s__dtype), __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_t_3), ((PyObject *)__pyx_t_6)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0; __pyx_t_9 = __Pyx_PyObject_to_MemoryviewSlice_ds_double(__pyx_t_1); if (unlikely(!__pyx_t_9.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_v_c_w = __pyx_t_9; __pyx_t_9.memview = NULL; __pyx_t_9.data = NULL; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":60 * cdef double[:] c_w = numpy.ascontiguousarray(w, * dtype=numpy.float64) * cdef int c_npts = npts # <<<<<<<<<<<<<< * cdef double[:] c_xl = numpy.ascontiguousarray(xl, * dtype=numpy.float64) */ __pyx_t_10 = __Pyx_PyInt_AsInt(__pyx_v_npts); if (unlikely((__pyx_t_10 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 60; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_c_npts = __pyx_t_10; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":61 * dtype=numpy.float64) * cdef int c_npts = npts * cdef double[:] c_xl = numpy.ascontiguousarray(xl, # <<<<<<<<<<<<<< * dtype=numpy.float64) * cdef double[:] c_xh = numpy.ascontiguousarray(xh, */ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__ascontiguousarray); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_INCREF(__pyx_v_xl); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_xl); __Pyx_GIVEREF(__pyx_v_xl); __pyx_t_3 = PyDict_New(); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":62 * cdef int c_npts = npts * cdef double[:] c_xl = numpy.ascontiguousarray(xl, * dtype=numpy.float64) # <<<<<<<<<<<<<< * cdef double[:] c_xh = numpy.ascontiguousarray(xh, * dtype=numpy.float64) */ __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 62; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s__float64); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 62; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (PyDict_SetItem(__pyx_t_3, ((PyObject *)__pyx_n_s__dtype), __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(__pyx_t_6, ((PyObject *)__pyx_t_1), ((PyObject *)__pyx_t_3)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_t_11 = __Pyx_PyObject_to_MemoryviewSlice_ds_double(__pyx_t_2); if (unlikely(!__pyx_t_11.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_v_c_xl = __pyx_t_11; __pyx_t_11.memview = NULL; __pyx_t_11.data = NULL; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":63 * cdef double[:] c_xl = numpy.ascontiguousarray(xl, * dtype=numpy.float64) * cdef double[:] c_xh = numpy.ascontiguousarray(xh, # <<<<<<<<<<<<<< * dtype=numpy.float64) * cdef int c_nr = nr */ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 63; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s__ascontiguousarray); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 63; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 63; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(__pyx_v_xh); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_v_xh); __Pyx_GIVEREF(__pyx_v_xh); __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 63; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":64 * dtype=numpy.float64) * cdef double[:] c_xh = numpy.ascontiguousarray(xh, * dtype=numpy.float64) # <<<<<<<<<<<<<< * cdef int c_nr = nr * cdef int[:] c_nc = numpy.ascontiguousarray(nc, */ __pyx_t_6 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 64; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s__float64); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 64; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; if (PyDict_SetItem(__pyx_t_1, ((PyObject *)__pyx_n_s__dtype), __pyx_t_4) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 63; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_4 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_2), ((PyObject *)__pyx_t_1)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 63; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_t_12 = __Pyx_PyObject_to_MemoryviewSlice_ds_double(__pyx_t_4); if (unlikely(!__pyx_t_12.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 63; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_v_c_xh = __pyx_t_12; __pyx_t_12.memview = NULL; __pyx_t_12.data = NULL; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":65 * cdef double[:] c_xh = numpy.ascontiguousarray(xh, * dtype=numpy.float64) * cdef int c_nr = nr # <<<<<<<<<<<<<< * cdef int[:] c_nc = numpy.ascontiguousarray(nc, * dtype=numpy.int32) */ __pyx_t_10 = __Pyx_PyInt_AsInt(__pyx_v_nr); if (unlikely((__pyx_t_10 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 65; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_c_nr = __pyx_t_10; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":66 * dtype=numpy.float64) * cdef int c_nr = nr * cdef int[:] c_nc = numpy.ascontiguousarray(nc, # <<<<<<<<<<<<<< * dtype=numpy.int32) * cdef int c_sizeC = c_c.size */ __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 66; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s__ascontiguousarray); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 66; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 66; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_INCREF(__pyx_v_nc); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_v_nc); __Pyx_GIVEREF(__pyx_v_nc); __pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 66; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":67 * cdef int c_nr = nr * cdef int[:] c_nc = numpy.ascontiguousarray(nc, * dtype=numpy.int32) # <<<<<<<<<<<<<< * cdef int c_sizeC = c_c.size * _polspl(&c_x[0], &c_y[0], &c_w[0], c_npts, \ */ __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s__int32); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (PyDict_SetItem(__pyx_t_2, ((PyObject *)__pyx_n_s__dtype), __pyx_t_6) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 66; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __pyx_t_6 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_4), ((PyObject *)__pyx_t_2)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 66; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_t_13 = __Pyx_PyObject_to_MemoryviewSlice_ds_int(__pyx_t_6); if (unlikely(!__pyx_t_13.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 66; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __pyx_v_c_nc = __pyx_t_13; __pyx_t_13.memview = NULL; __pyx_t_13.data = NULL; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":68 * cdef int[:] c_nc = numpy.ascontiguousarray(nc, * dtype=numpy.int32) * cdef int c_sizeC = c_c.size # <<<<<<<<<<<<<< * _polspl(&c_x[0], &c_y[0], &c_w[0], c_npts, \ * &c_xl[0], &c_xh[0], &c_nc[0], c_nr, &c_c[0], c_sizeC) */ __pyx_t_6 = __pyx_memoryview_fromslice(__pyx_v_c_c, 1, (PyObject *(*)(char *)) __pyx_memview_get_double, (int (*)(char *, PyObject *)) __pyx_memview_set_double, 0);; if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s__size); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __pyx_t_10 = __Pyx_PyInt_AsInt(__pyx_t_2); if (unlikely((__pyx_t_10 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_v_c_sizeC = __pyx_t_10; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":69 * dtype=numpy.int32) * cdef int c_sizeC = c_c.size * _polspl(&c_x[0], &c_y[0], &c_w[0], c_npts, \ # <<<<<<<<<<<<<< * &c_xl[0], &c_xh[0], &c_nc[0], c_nr, &c_c[0], c_sizeC) * return c */ __pyx_t_14 = 0; __pyx_t_10 = -1; if (__pyx_t_14 < 0) { __pyx_t_14 += __pyx_v_c_x.shape[0]; if (unlikely(__pyx_t_14 < 0)) __pyx_t_10 = 0; } else if (unlikely(__pyx_t_14 >= __pyx_v_c_x.shape[0])) __pyx_t_10 = 0; if (unlikely(__pyx_t_10 != -1)) { __Pyx_RaiseBufferIndexError(__pyx_t_10); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 69; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_15 = 0; __pyx_t_10 = -1; if (__pyx_t_15 < 0) { __pyx_t_15 += __pyx_v_c_y.shape[0]; if (unlikely(__pyx_t_15 < 0)) __pyx_t_10 = 0; } else if (unlikely(__pyx_t_15 >= __pyx_v_c_y.shape[0])) __pyx_t_10 = 0; if (unlikely(__pyx_t_10 != -1)) { __Pyx_RaiseBufferIndexError(__pyx_t_10); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 69; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_16 = 0; __pyx_t_10 = -1; if (__pyx_t_16 < 0) { __pyx_t_16 += __pyx_v_c_w.shape[0]; if (unlikely(__pyx_t_16 < 0)) __pyx_t_10 = 0; } else if (unlikely(__pyx_t_16 >= __pyx_v_c_w.shape[0])) __pyx_t_10 = 0; if (unlikely(__pyx_t_10 != -1)) { __Pyx_RaiseBufferIndexError(__pyx_t_10); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 69; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":70 * cdef int c_sizeC = c_c.size * _polspl(&c_x[0], &c_y[0], &c_w[0], c_npts, \ * &c_xl[0], &c_xh[0], &c_nc[0], c_nr, &c_c[0], c_sizeC) # <<<<<<<<<<<<<< * return c * */ __pyx_t_17 = 0; __pyx_t_10 = -1; if (__pyx_t_17 < 0) { __pyx_t_17 += __pyx_v_c_xl.shape[0]; if (unlikely(__pyx_t_17 < 0)) __pyx_t_10 = 0; } else if (unlikely(__pyx_t_17 >= __pyx_v_c_xl.shape[0])) __pyx_t_10 = 0; if (unlikely(__pyx_t_10 != -1)) { __Pyx_RaiseBufferIndexError(__pyx_t_10); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_18 = 0; __pyx_t_10 = -1; if (__pyx_t_18 < 0) { __pyx_t_18 += __pyx_v_c_xh.shape[0]; if (unlikely(__pyx_t_18 < 0)) __pyx_t_10 = 0; } else if (unlikely(__pyx_t_18 >= __pyx_v_c_xh.shape[0])) __pyx_t_10 = 0; if (unlikely(__pyx_t_10 != -1)) { __Pyx_RaiseBufferIndexError(__pyx_t_10); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_19 = 0; __pyx_t_10 = -1; if (__pyx_t_19 < 0) { __pyx_t_19 += __pyx_v_c_nc.shape[0]; if (unlikely(__pyx_t_19 < 0)) __pyx_t_10 = 0; } else if (unlikely(__pyx_t_19 >= __pyx_v_c_nc.shape[0])) __pyx_t_10 = 0; if (unlikely(__pyx_t_10 != -1)) { __Pyx_RaiseBufferIndexError(__pyx_t_10); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_20 = 0; __pyx_t_10 = -1; if (__pyx_t_20 < 0) { __pyx_t_20 += __pyx_v_c_c.shape[0]; if (unlikely(__pyx_t_20 < 0)) __pyx_t_10 = 0; } else if (unlikely(__pyx_t_20 >= __pyx_v_c_c.shape[0])) __pyx_t_10 = 0; if (unlikely(__pyx_t_10 != -1)) { __Pyx_RaiseBufferIndexError(__pyx_t_10); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 70; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } polspl((&(*((double *) ( /* dim=0 */ (__pyx_v_c_x.data + __pyx_t_14 * __pyx_v_c_x.strides[0]) )))), (&(*((double *) ( /* dim=0 */ (__pyx_v_c_y.data + __pyx_t_15 * __pyx_v_c_y.strides[0]) )))), (&(*((double *) ( /* dim=0 */ (__pyx_v_c_w.data + __pyx_t_16 * __pyx_v_c_w.strides[0]) )))), __pyx_v_c_npts, (&(*((double *) ( /* dim=0 */ (__pyx_v_c_xl.data + __pyx_t_17 * __pyx_v_c_xl.strides[0]) )))), (&(*((double *) ( /* dim=0 */ (__pyx_v_c_xh.data + __pyx_t_18 * __pyx_v_c_xh.strides[0]) )))), (&(*((int *) ( /* dim=0 */ (__pyx_v_c_nc.data + __pyx_t_19 * __pyx_v_c_nc.strides[0]) )))), __pyx_v_c_nr, (&(*((double *) ( /* dim=0 */ (__pyx_v_c_c.data + __pyx_t_20 * __pyx_v_c_c.strides[0]) )))), __pyx_v_c_sizeC); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":71 * _polspl(&c_x[0], &c_y[0], &c_w[0], c_npts, \ * &c_xl[0], &c_xh[0], &c_nc[0], c_nr, &c_c[0], c_sizeC) * return c # <<<<<<<<<<<<<< * * def polspl2(x,y,w,npts,xl0,xh0,nr,nc): */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_c); __pyx_r = __pyx_v_c; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __PYX_XDEC_MEMVIEW(&__pyx_t_5, 1); __Pyx_XDECREF(__pyx_t_6); __PYX_XDEC_MEMVIEW(&__pyx_t_7, 1); __PYX_XDEC_MEMVIEW(&__pyx_t_8, 1); __PYX_XDEC_MEMVIEW(&__pyx_t_9, 1); __PYX_XDEC_MEMVIEW(&__pyx_t_11, 1); __PYX_XDEC_MEMVIEW(&__pyx_t_12, 1); __PYX_XDEC_MEMVIEW(&__pyx_t_13, 1); __Pyx_AddTraceback("PyMca5.PyMcaPhysics.xas._xas.polspl", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF(__pyx_v_c); __PYX_XDEC_MEMVIEW(&__pyx_v_c_c, 1); __PYX_XDEC_MEMVIEW(&__pyx_v_c_x, 1); __PYX_XDEC_MEMVIEW(&__pyx_v_c_y, 1); __PYX_XDEC_MEMVIEW(&__pyx_v_c_w, 1); __PYX_XDEC_MEMVIEW(&__pyx_v_c_xl, 1); __PYX_XDEC_MEMVIEW(&__pyx_v_c_xh, 1); __PYX_XDEC_MEMVIEW(&__pyx_v_c_nc, 1); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_9polspl2(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ static PyMethodDef __pyx_mdef_6PyMca5_12PyMcaPhysics_3xas_4_xas_9polspl2 = {__Pyx_NAMESTR("polspl2"), (PyCFunction)__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_9polspl2, METH_VARARGS|METH_KEYWORDS, __Pyx_DOCSTR(0)}; static PyObject *__pyx_pw_6PyMca5_12PyMcaPhysics_3xas_4_xas_9polspl2(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_x = 0; PyObject *__pyx_v_y = 0; PyObject *__pyx_v_w = 0; PyObject *__pyx_v_npts = 0; PyObject *__pyx_v_xl0 = 0; PyObject *__pyx_v_xh0 = 0; PyObject *__pyx_v_nr = 0; PyObject *__pyx_v_nc = 0; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("polspl2 (wrapper)", 0); { static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__x,&__pyx_n_s__y,&__pyx_n_s__w,&__pyx_n_s__npts,&__pyx_n_s__xl0,&__pyx_n_s__xh0,&__pyx_n_s__nr,&__pyx_n_s__nc,0}; PyObject* values[8] = {0,0,0,0,0,0,0,0}; if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { case 8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7); case 7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6); case 6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5); case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = PyDict_Size(__pyx_kwds); switch (pos_args) { case 0: if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__x)) != 0)) kw_args--; else goto __pyx_L5_argtuple_error; case 1: if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__y)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl2", 1, 8, 8, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 2: if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__w)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl2", 1, 8, 8, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 3: if (likely((values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__npts)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl2", 1, 8, 8, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 4: if (likely((values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__xl0)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl2", 1, 8, 8, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 5: if (likely((values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__xh0)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl2", 1, 8, 8, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 6: if (likely((values[6] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__nr)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl2", 1, 8, 8, 6); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 7: if (likely((values[7] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__nc)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("polspl2", 1, 8, 8, 7); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } if (unlikely(kw_args > 0)) { if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "polspl2") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } else if (PyTuple_GET_SIZE(__pyx_args) != 8) { goto __pyx_L5_argtuple_error; } else { values[0] = PyTuple_GET_ITEM(__pyx_args, 0); values[1] = PyTuple_GET_ITEM(__pyx_args, 1); values[2] = PyTuple_GET_ITEM(__pyx_args, 2); values[3] = PyTuple_GET_ITEM(__pyx_args, 3); values[4] = PyTuple_GET_ITEM(__pyx_args, 4); values[5] = PyTuple_GET_ITEM(__pyx_args, 5); values[6] = PyTuple_GET_ITEM(__pyx_args, 6); values[7] = PyTuple_GET_ITEM(__pyx_args, 7); } __pyx_v_x = values[0]; __pyx_v_y = values[1]; __pyx_v_w = values[2]; __pyx_v_npts = values[3]; __pyx_v_xl0 = values[4]; __pyx_v_xh0 = values[5]; __pyx_v_nr = values[6]; __pyx_v_nc = values[7]; } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("polspl2", 1, 8, 8, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("PyMca5.PyMcaPhysics.xas._xas.polspl2", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return NULL; __pyx_L4_argument_unpacking_done:; __pyx_r = __pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_8polspl2(__pyx_self, __pyx_v_x, __pyx_v_y, __pyx_v_w, __pyx_v_npts, __pyx_v_xl0, __pyx_v_xh0, __pyx_v_nr, __pyx_v_nc); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":73 * return c * * def polspl2(x,y,w,npts,xl0,xh0,nr,nc): # <<<<<<<<<<<<<< * * # ; */ static PyObject *__pyx_pf_6PyMca5_12PyMcaPhysics_3xas_4_xas_8polspl2(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x, PyObject *__pyx_v_y, PyObject *__pyx_v_w, PyObject *__pyx_v_npts, PyObject *__pyx_v_xl0, PyObject *__pyx_v_xh0, PyObject *__pyx_v_nr, PyObject *__pyx_v_nc) { PyArrayObject *__pyx_v_buffer_xl0 = 0; double *__pyx_v_xl; PyArrayObject *__pyx_v_buffer_xh0 = 0; double *__pyx_v_xh; PyObject *__pyx_v_df = NULL; PyObject *__pyx_v_a = NULL; PyObject *__pyx_v_nbs = NULL; __Pyx_memviewslice __pyx_v_xk0 = { 0, 0, { 0 }, { 0 }, { 0 } }; double *__pyx_v_xk; PyObject *__pyx_v_c = NULL; int __pyx_v_j; int __pyx_v_i; PyObject *__pyx_v_ne_idl = NULL; PyObject *__pyx_v_n = NULL; int __pyx_v_k; int __pyx_v_ibl; int __pyx_v_ns; int __pyx_v_ns1; PyObject *__pyx_v_t = NULL; PyObject *__pyx_v_n1 = NULL; PyObject *__pyx_v_ncol = NULL; PyObject *__pyx_v_nk = NULL; PyObject *__pyx_v_ik = NULL; PyObject *__pyx_v_i1 = NULL; PyObject *__pyx_v_nm1 = NULL; int __pyx_v_m; PyObject *__pyx_v_ni = NULL; PyObject *__pyx_v_ni1 = NULL; __Pyx_LocalBuf_ND __pyx_pybuffernd_buffer_xh0; __Pyx_Buffer __pyx_pybuffer_buffer_xh0; __Pyx_LocalBuf_ND __pyx_pybuffernd_buffer_xl0; __Pyx_Buffer __pyx_pybuffer_buffer_xl0; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyArrayObject *__pyx_t_4 = NULL; PyArrayObject *__pyx_t_5 = NULL; __Pyx_memviewslice __pyx_t_6 = { 0, 0, { 0 }, { 0 }, { 0 } }; Py_ssize_t __pyx_t_7; int __pyx_t_8; long __pyx_t_9; long __pyx_t_10; int __pyx_t_11; double __pyx_t_12; Py_ssize_t __pyx_t_13; int __pyx_t_14; int __pyx_t_15; int __pyx_t_16; long __pyx_t_17; int __pyx_t_18; long __pyx_t_19; int __pyx_t_20; PyObject *__pyx_t_21 = NULL; PyObject *(*__pyx_t_22)(PyObject *); Py_ssize_t __pyx_t_23; PyObject *__pyx_t_24 = NULL; PyObject *__pyx_t_25 = NULL; long __pyx_t_26; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("polspl2", 0); __pyx_pybuffer_buffer_xl0.pybuffer.buf = NULL; __pyx_pybuffer_buffer_xl0.refcount = 0; __pyx_pybuffernd_buffer_xl0.data = NULL; __pyx_pybuffernd_buffer_xl0.rcbuffer = &__pyx_pybuffer_buffer_xl0; __pyx_pybuffer_buffer_xh0.pybuffer.buf = NULL; __pyx_pybuffer_buffer_xh0.refcount = 0; __pyx_pybuffernd_buffer_xh0.data = NULL; __pyx_pybuffernd_buffer_xh0.rcbuffer = &__pyx_pybuffer_buffer_xh0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":80 * * cdef numpy.ndarray[double, ndim=1, mode='c'] buffer_xl0 = \ * numpy.ascontiguousarray(xl0, numpy.float64) # <<<<<<<<<<<<<< * cdef double * xl = buffer_xl0.data * cdef numpy.ndarray[double, ndim=1, mode='c'] buffer_xh0 = \ */ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 80; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__ascontiguousarray); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 80; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 80; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__float64); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 80; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 80; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_INCREF(__pyx_v_xl0); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_v_xl0); __Pyx_GIVEREF(__pyx_v_xl0); PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 80; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 80; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_4 = ((PyArrayObject *)__pyx_t_3); { __Pyx_BufFmt_StackElem __pyx_stack[1]; if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_buffer_xl0.rcbuffer->pybuffer, (PyObject*)__pyx_t_4, &__Pyx_TypeInfo_double, PyBUF_FORMAT| PyBUF_C_CONTIGUOUS, 1, 0, __pyx_stack) == -1)) { __pyx_v_buffer_xl0 = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_buffer_xl0.rcbuffer->pybuffer.buf = NULL; {__pyx_filename = __pyx_f[0]; __pyx_lineno = 79; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else {__pyx_pybuffernd_buffer_xl0.diminfo[0].strides = __pyx_pybuffernd_buffer_xl0.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_buffer_xl0.diminfo[0].shape = __pyx_pybuffernd_buffer_xl0.rcbuffer->pybuffer.shape[0]; } } __pyx_t_4 = 0; __pyx_v_buffer_xl0 = ((PyArrayObject *)__pyx_t_3); __pyx_t_3 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":81 * cdef numpy.ndarray[double, ndim=1, mode='c'] buffer_xl0 = \ * numpy.ascontiguousarray(xl0, numpy.float64) * cdef double * xl = buffer_xl0.data # <<<<<<<<<<<<<< * cdef numpy.ndarray[double, ndim=1, mode='c'] buffer_xh0 = \ * numpy.ascontiguousarray(xh0, numpy.float64) */ __pyx_v_xl = ((double *)__pyx_v_buffer_xl0->data); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":83 * cdef double * xl = buffer_xl0.data * cdef numpy.ndarray[double, ndim=1, mode='c'] buffer_xh0 = \ * numpy.ascontiguousarray(xh0, numpy.float64) # <<<<<<<<<<<<<< * cdef double * xh = buffer_xh0.data * df = numpy.zeros(26) */ __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 83; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s__ascontiguousarray); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 83; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 83; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s__float64); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 83; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 83; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(__pyx_v_xh0); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_xh0); __Pyx_GIVEREF(__pyx_v_xh0); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 83; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 83; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_5 = ((PyArrayObject *)__pyx_t_2); { __Pyx_BufFmt_StackElem __pyx_stack[1]; if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_buffer_xh0.rcbuffer->pybuffer, (PyObject*)__pyx_t_5, &__Pyx_TypeInfo_double, PyBUF_FORMAT| PyBUF_C_CONTIGUOUS, 1, 0, __pyx_stack) == -1)) { __pyx_v_buffer_xh0 = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_buffer_xh0.rcbuffer->pybuffer.buf = NULL; {__pyx_filename = __pyx_f[0]; __pyx_lineno = 82; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else {__pyx_pybuffernd_buffer_xh0.diminfo[0].strides = __pyx_pybuffernd_buffer_xh0.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_buffer_xh0.diminfo[0].shape = __pyx_pybuffernd_buffer_xh0.rcbuffer->pybuffer.shape[0]; } } __pyx_t_5 = 0; __pyx_v_buffer_xh0 = ((PyArrayObject *)__pyx_t_2); __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":84 * cdef numpy.ndarray[double, ndim=1, mode='c'] buffer_xh0 = \ * numpy.ascontiguousarray(xh0, numpy.float64) * cdef double * xh = buffer_xh0.data # <<<<<<<<<<<<<< * df = numpy.zeros(26) * a = numpy.zeros((36,37)) */ __pyx_v_xh = ((double *)__pyx_v_buffer_xh0->data); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":85 * numpy.ascontiguousarray(xh0, numpy.float64) * cdef double * xh = buffer_xh0.data * df = numpy.zeros(26) # <<<<<<<<<<<<<< * a = numpy.zeros((36,37)) * nbs = numpy.zeros(11,dtype=int) */ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 85; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s__zeros); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 85; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_k_tuple_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 85; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_df = __pyx_t_2; __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":86 * cdef double * xh = buffer_xh0.data * df = numpy.zeros(26) * a = numpy.zeros((36,37)) # <<<<<<<<<<<<<< * nbs = numpy.zeros(11,dtype=int) * cdef double[:] xk0 = numpy.zeros(10) */ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 86; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s__zeros); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 86; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_k_tuple_5), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 86; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_a = __pyx_t_2; __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":87 * df = numpy.zeros(26) * a = numpy.zeros((36,37)) * nbs = numpy.zeros(11,dtype=int) # <<<<<<<<<<<<<< * cdef double[:] xk0 = numpy.zeros(10) * cdef double * xk = &xk0[0] */ __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 87; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s__zeros); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 87; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 87; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); if (PyDict_SetItem(__pyx_t_2, ((PyObject *)__pyx_n_s__dtype), ((PyObject *)((PyObject*)(&PyInt_Type)))) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 87; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_1 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_k_tuple_6), ((PyObject *)__pyx_t_2)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 87; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_v_nbs = __pyx_t_1; __pyx_t_1 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":88 * a = numpy.zeros((36,37)) * nbs = numpy.zeros(11,dtype=int) * cdef double[:] xk0 = numpy.zeros(10) # <<<<<<<<<<<<<< * cdef double * xk = &xk0[0] * c = numpy.zeros(36) */ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 88; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__zeros); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 88; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_k_tuple_7), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 88; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_6 = __Pyx_PyObject_to_MemoryviewSlice_ds_double(__pyx_t_1); if (unlikely(!__pyx_t_6.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 88; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_v_xk0 = __pyx_t_6; __pyx_t_6.memview = NULL; __pyx_t_6.data = NULL; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":89 * nbs = numpy.zeros(11,dtype=int) * cdef double[:] xk0 = numpy.zeros(10) * cdef double * xk = &xk0[0] # <<<<<<<<<<<<<< * c = numpy.zeros(36) * cdef int j=0 */ __pyx_t_7 = 0; __pyx_t_8 = -1; if (__pyx_t_7 < 0) { __pyx_t_7 += __pyx_v_xk0.shape[0]; if (unlikely(__pyx_t_7 < 0)) __pyx_t_8 = 0; } else if (unlikely(__pyx_t_7 >= __pyx_v_xk0.shape[0])) __pyx_t_8 = 0; if (unlikely(__pyx_t_8 != -1)) { __Pyx_RaiseBufferIndexError(__pyx_t_8); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_v_xk = (&(*((double *) ( /* dim=0 */ (__pyx_v_xk0.data + __pyx_t_7 * __pyx_v_xk0.strides[0]) )))); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":90 * cdef double[:] xk0 = numpy.zeros(10) * cdef double * xk = &xk0[0] * c = numpy.zeros(36) # <<<<<<<<<<<<<< * cdef int j=0 * cdef int i=0 */ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 90; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__zeros); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 90; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_k_tuple_8), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 90; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_v_c = __pyx_t_1; __pyx_t_1 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":91 * cdef double * xk = &xk0[0] * c = numpy.zeros(36) * cdef int j=0 # <<<<<<<<<<<<<< * cdef int i=0 * ne_idl=0 */ __pyx_v_j = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":92 * c = numpy.zeros(36) * cdef int j=0 * cdef int i=0 # <<<<<<<<<<<<<< * ne_idl=0 * n = 0 */ __pyx_v_i = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":93 * cdef int j=0 * cdef int i=0 * ne_idl=0 # <<<<<<<<<<<<<< * n = 0 * cdef int k = 0 */ __Pyx_INCREF(__pyx_int_0); __pyx_v_ne_idl = __pyx_int_0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":94 * cdef int i=0 * ne_idl=0 * n = 0 # <<<<<<<<<<<<<< * cdef int k = 0 * cdef int ibl = 0 */ __Pyx_INCREF(__pyx_int_0); __pyx_v_n = __pyx_int_0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":95 * ne_idl=0 * n = 0 * cdef int k = 0 # <<<<<<<<<<<<<< * cdef int ibl = 0 * cdef int ns = 0 */ __pyx_v_k = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":96 * n = 0 * cdef int k = 0 * cdef int ibl = 0 # <<<<<<<<<<<<<< * cdef int ns = 0 * cdef int ns1 = 0 */ __pyx_v_ibl = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":97 * cdef int k = 0 * cdef int ibl = 0 * cdef int ns = 0 # <<<<<<<<<<<<<< * cdef int ns1 = 0 * */ __pyx_v_ns = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":98 * cdef int ibl = 0 * cdef int ns = 0 * cdef int ns1 = 0 # <<<<<<<<<<<<<< * * nbs[1]=1 */ __pyx_v_ns1 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":100 * cdef int ns1 = 0 * * nbs[1]=1 # <<<<<<<<<<<<<< * for i in range(1,nr+1): * n=n+int(nc[i]) */ if (__Pyx_SetItemInt(__pyx_v_nbs, 1, __pyx_int_1, sizeof(long), PyInt_FromLong, 0, 0, 1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 100; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":101 * * nbs[1]=1 * for i in range(1,nr+1): # <<<<<<<<<<<<<< * n=n+int(nc[i]) * nbs[i+1]=n+1 */ __pyx_t_1 = PyNumber_Add(__pyx_v_nr, __pyx_int_1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 101; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_9 = __Pyx_PyInt_AsLong(__pyx_t_1); if (unlikely((__pyx_t_9 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 101; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; for (__pyx_t_8 = 1; __pyx_t_8 < __pyx_t_9; __pyx_t_8+=1) { __pyx_v_i = __pyx_t_8; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":102 * nbs[1]=1 * for i in range(1,nr+1): * n=n+int(nc[i]) # <<<<<<<<<<<<<< * nbs[i+1]=n+1 * if xl[i] < xh[i]: */ __pyx_t_1 = __Pyx_GetItemInt(__pyx_v_nc, __pyx_v_i, sizeof(int), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_1) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 102; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 102; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject*)(&PyInt_Type))), ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 102; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_t_2 = PyNumber_Add(__pyx_v_n, __pyx_t_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 102; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_v_n); __pyx_v_n = __pyx_t_2; __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":103 * for i in range(1,nr+1): * n=n+int(nc[i]) * nbs[i+1]=n+1 # <<<<<<<<<<<<<< * if xl[i] < xh[i]: * pass */ __pyx_t_2 = PyNumber_Add(__pyx_v_n, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 103; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_10 = (__pyx_v_i + 1); if (__Pyx_SetItemInt(__pyx_v_nbs, __pyx_t_10, __pyx_t_2, sizeof(long), PyInt_FromLong, 0, 1, 1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 103; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":104 * n=n+int(nc[i]) * nbs[i+1]=n+1 * if xl[i] < xh[i]: # <<<<<<<<<<<<<< * pass * else: */ __pyx_t_11 = (((__pyx_v_xl[__pyx_v_i]) < (__pyx_v_xh[__pyx_v_i])) != 0); if (__pyx_t_11) { goto __pyx_L5; } /*else*/ { /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":107 * pass * else: * t=xl[i] # <<<<<<<<<<<<<< * xl[i]=xh[i] * xh[i]=t */ __pyx_t_2 = PyFloat_FromDouble((__pyx_v_xl[__pyx_v_i])); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 107; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_XDECREF(__pyx_v_t); __pyx_v_t = __pyx_t_2; __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":108 * else: * t=xl[i] * xl[i]=xh[i] # <<<<<<<<<<<<<< * xh[i]=t * */ (__pyx_v_xl[__pyx_v_i]) = (__pyx_v_xh[__pyx_v_i]); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":109 * t=xl[i] * xl[i]=xh[i] * xh[i]=t # <<<<<<<<<<<<<< * * n=n+2*(nr-1) */ __pyx_t_12 = __pyx_PyFloat_AsDouble(__pyx_v_t); if (unlikely((__pyx_t_12 == (double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 109; __pyx_clineno = __LINE__; goto __pyx_L1_error;} (__pyx_v_xh[__pyx_v_i]) = __pyx_t_12; } __pyx_L5:; } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":111 * xh[i]=t * * n=n+2*(nr-1) # <<<<<<<<<<<<<< * n1=n+1 * xl[nr+1]=0. */ __pyx_t_2 = PyNumber_Subtract(__pyx_v_nr, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 111; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_1 = PyNumber_Multiply(__pyx_int_2, __pyx_t_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 111; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyNumber_Add(__pyx_v_n, __pyx_t_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 111; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_v_n); __pyx_v_n = __pyx_t_2; __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":112 * * n=n+2*(nr-1) * n1=n+1 # <<<<<<<<<<<<<< * xl[nr+1]=0. * xh[nr+1]=0. */ __pyx_t_2 = PyNumber_Add(__pyx_v_n, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 112; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_v_n1 = __pyx_t_2; __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":113 * n=n+2*(nr-1) * n1=n+1 * xl[nr+1]=0. # <<<<<<<<<<<<<< * xh[nr+1]=0. * */ __pyx_t_2 = PyNumber_Add(__pyx_v_nr, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_13 = __Pyx_PyIndex_AsSsize_t(__pyx_t_2); if (unlikely((__pyx_t_13 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; (__pyx_v_xl[__pyx_t_13]) = 0.; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":114 * n1=n+1 * xl[nr+1]=0. * xh[nr+1]=0. # <<<<<<<<<<<<<< * * # this loop ... */ __pyx_t_2 = PyNumber_Add(__pyx_v_nr, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 114; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_13 = __Pyx_PyIndex_AsSsize_t(__pyx_t_2); if (unlikely((__pyx_t_13 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 114; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; (__pyx_v_xh[__pyx_t_13]) = 0.; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":117 * * # this loop ... * for ibl in range(1,nr+1): # <<<<<<<<<<<<<< * xk[ibl]=.5*(xh[ibl]+xl[ibl+1]) * if (xl[ibl] > xl[ibl+1]): */ __pyx_t_2 = PyNumber_Add(__pyx_v_nr, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 117; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_9 = __Pyx_PyInt_AsLong(__pyx_t_2); if (unlikely((__pyx_t_9 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 117; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; for (__pyx_t_8 = 1; __pyx_t_8 < __pyx_t_9; __pyx_t_8+=1) { __pyx_v_ibl = __pyx_t_8; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":118 * # this loop ... * for ibl in range(1,nr+1): * xk[ibl]=.5*(xh[ibl]+xl[ibl+1]) # <<<<<<<<<<<<<< * if (xl[ibl] > xl[ibl+1]): * xk[ibl]=.5*(xl[ibl]+xh[ibl+1]) */ (__pyx_v_xk[__pyx_v_ibl]) = (.5 * ((__pyx_v_xh[__pyx_v_ibl]) + (__pyx_v_xl[(__pyx_v_ibl + 1)]))); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":119 * for ibl in range(1,nr+1): * xk[ibl]=.5*(xh[ibl]+xl[ibl+1]) * if (xl[ibl] > xl[ibl+1]): # <<<<<<<<<<<<<< * xk[ibl]=.5*(xl[ibl]+xh[ibl+1]) * ns=nbs[ibl] */ __pyx_t_11 = (((__pyx_v_xl[__pyx_v_ibl]) > (__pyx_v_xl[(__pyx_v_ibl + 1)])) != 0); if (__pyx_t_11) { /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":120 * xk[ibl]=.5*(xh[ibl]+xl[ibl+1]) * if (xl[ibl] > xl[ibl+1]): * xk[ibl]=.5*(xl[ibl]+xh[ibl+1]) # <<<<<<<<<<<<<< * ns=nbs[ibl] * ne_idl=nbs[ibl+1]-1 */ (__pyx_v_xk[__pyx_v_ibl]) = (.5 * ((__pyx_v_xl[__pyx_v_ibl]) + (__pyx_v_xh[(__pyx_v_ibl + 1)]))); goto __pyx_L8; } __pyx_L8:; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":121 * if (xl[ibl] > xl[ibl+1]): * xk[ibl]=.5*(xl[ibl]+xh[ibl+1]) * ns=nbs[ibl] # <<<<<<<<<<<<<< * ne_idl=nbs[ibl+1]-1 * for i in range(1, npts+1): */ __pyx_t_2 = __Pyx_GetItemInt(__pyx_v_nbs, __pyx_v_ibl, sizeof(int), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_2) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 121; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_14 = __Pyx_PyInt_AsInt(__pyx_t_2); if (unlikely((__pyx_t_14 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 121; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_v_ns = __pyx_t_14; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":122 * xk[ibl]=.5*(xl[ibl]+xh[ibl+1]) * ns=nbs[ibl] * ne_idl=nbs[ibl+1]-1 # <<<<<<<<<<<<<< * for i in range(1, npts+1): * if((x[i] < xl[ibl]) or (x[i] > xh[ibl])): */ __pyx_t_10 = (__pyx_v_ibl + 1); __pyx_t_2 = __Pyx_GetItemInt(__pyx_v_nbs, __pyx_t_10, sizeof(long), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_2) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 122; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_1 = PyNumber_Subtract(__pyx_t_2, __pyx_int_1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 122; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(__pyx_v_ne_idl); __pyx_v_ne_idl = __pyx_t_1; __pyx_t_1 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":123 * ns=nbs[ibl] * ne_idl=nbs[ibl+1]-1 * for i in range(1, npts+1): # <<<<<<<<<<<<<< * if((x[i] < xl[ibl]) or (x[i] > xh[ibl])): * pass */ __pyx_t_1 = PyNumber_Add(__pyx_v_npts, __pyx_int_1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 123; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_10 = __Pyx_PyInt_AsLong(__pyx_t_1); if (unlikely((__pyx_t_10 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 123; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; for (__pyx_t_14 = 1; __pyx_t_14 < __pyx_t_10; __pyx_t_14+=1) { __pyx_v_i = __pyx_t_14; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":124 * ne_idl=nbs[ibl+1]-1 * for i in range(1, npts+1): * if((x[i] < xl[ibl]) or (x[i] > xh[ibl])): # <<<<<<<<<<<<<< * pass * else: */ __pyx_t_1 = __Pyx_GetItemInt(__pyx_v_x, __pyx_v_i, sizeof(int), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_1) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyFloat_FromDouble((__pyx_v_xl[__pyx_v_ibl])); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyObject_RichCompare(__pyx_t_1, __pyx_t_2, Py_LT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_11 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_11 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (!__pyx_t_11) { __pyx_t_3 = __Pyx_GetItemInt(__pyx_v_x, __pyx_v_i, sizeof(int), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_3) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_2 = PyFloat_FromDouble((__pyx_v_xh[__pyx_v_ibl])); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_1 = PyObject_RichCompare(__pyx_t_3, __pyx_t_2, Py_GT); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_15 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_15 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_16 = __pyx_t_15; } else { __pyx_t_16 = __pyx_t_11; } if (__pyx_t_16) { goto __pyx_L11; } /*else*/ { /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":127 * pass * else: * df[ns]=1.0 # <<<<<<<<<<<<<< * ns1=ns+1 * for j in range(ns1,ne_idl+1): */ __pyx_t_1 = PyFloat_FromDouble(1.0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 127; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (__Pyx_SetItemInt(__pyx_v_df, __pyx_v_ns, __pyx_t_1, sizeof(int), PyInt_FromLong, 0, 1, 1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 127; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":128 * else: * df[ns]=1.0 * ns1=ns+1 # <<<<<<<<<<<<<< * for j in range(ns1,ne_idl+1): * df[j]=df[j-1]*x[i] */ __pyx_v_ns1 = (__pyx_v_ns + 1); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":129 * df[ns]=1.0 * ns1=ns+1 * for j in range(ns1,ne_idl+1): # <<<<<<<<<<<<<< * df[j]=df[j-1]*x[i] * for j in range(ns,ne_idl+1): */ __pyx_t_1 = PyNumber_Add(__pyx_v_ne_idl, __pyx_int_1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 129; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_17 = __Pyx_PyInt_AsLong(__pyx_t_1); if (unlikely((__pyx_t_17 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 129; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; for (__pyx_t_18 = __pyx_v_ns1; __pyx_t_18 < __pyx_t_17; __pyx_t_18+=1) { __pyx_v_j = __pyx_t_18; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":130 * ns1=ns+1 * for j in range(ns1,ne_idl+1): * df[j]=df[j-1]*x[i] # <<<<<<<<<<<<<< * for j in range(ns,ne_idl+1): * for k in range(j,ne_idl+1): */ __pyx_t_19 = (__pyx_v_j - 1); __pyx_t_1 = __Pyx_GetItemInt(__pyx_v_df, __pyx_t_19, sizeof(long), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_1) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_GetItemInt(__pyx_v_x, __pyx_v_i, sizeof(int), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_2) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyNumber_Multiply(__pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; if (__Pyx_SetItemInt(__pyx_v_df, __pyx_v_j, __pyx_t_3, sizeof(int), PyInt_FromLong, 0, 1, 1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":131 * for j in range(ns1,ne_idl+1): * df[j]=df[j-1]*x[i] * for j in range(ns,ne_idl+1): # <<<<<<<<<<<<<< * for k in range(j,ne_idl+1): * a[j,k]=a[j,k]+df[j]*df[k]*w[i] */ __pyx_t_3 = PyNumber_Add(__pyx_v_ne_idl, __pyx_int_1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 131; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_17 = __Pyx_PyInt_AsLong(__pyx_t_3); if (unlikely((__pyx_t_17 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 131; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; for (__pyx_t_18 = __pyx_v_ns; __pyx_t_18 < __pyx_t_17; __pyx_t_18+=1) { __pyx_v_j = __pyx_t_18; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":132 * df[j]=df[j-1]*x[i] * for j in range(ns,ne_idl+1): * for k in range(j,ne_idl+1): # <<<<<<<<<<<<<< * a[j,k]=a[j,k]+df[j]*df[k]*w[i] * a[j,n1]=a[j,n1]+df[j]*y[i]*w[i] */ __pyx_t_3 = PyNumber_Add(__pyx_v_ne_idl, __pyx_int_1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 132; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_19 = __Pyx_PyInt_AsLong(__pyx_t_3); if (unlikely((__pyx_t_19 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 132; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; for (__pyx_t_20 = __pyx_v_j; __pyx_t_20 < __pyx_t_19; __pyx_t_20+=1) { __pyx_v_k = __pyx_t_20; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":133 * for j in range(ns,ne_idl+1): * for k in range(j,ne_idl+1): * a[j,k]=a[j,k]+df[j]*df[k]*w[i] # <<<<<<<<<<<<<< * a[j,n1]=a[j,n1]+df[j]*y[i]*w[i] * # ... has to be faster */ __pyx_t_3 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_2 = PyInt_FromLong(__pyx_v_k); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_3 = 0; __pyx_t_2 = 0; __pyx_t_2 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_1)); if (!__pyx_t_2) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_t_1 = __Pyx_GetItemInt(__pyx_v_df, __pyx_v_j, sizeof(int), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_1) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = __Pyx_GetItemInt(__pyx_v_df, __pyx_v_k, sizeof(int), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_3) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_21 = PyNumber_Multiply(__pyx_t_1, __pyx_t_3); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = __Pyx_GetItemInt(__pyx_v_w, __pyx_v_i, sizeof(int), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_3) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_1 = PyNumber_Multiply(__pyx_t_21, __pyx_t_3); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyNumber_Add(__pyx_t_2, __pyx_t_1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyInt_FromLong(__pyx_v_k); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_21 = PyTuple_New(2); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); PyTuple_SET_ITEM(__pyx_t_21, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_21, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_1 = 0; __pyx_t_2 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_21), __pyx_t_3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_21)); __pyx_t_21 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":134 * for k in range(j,ne_idl+1): * a[j,k]=a[j,k]+df[j]*df[k]*w[i] * a[j,n1]=a[j,n1]+df[j]*y[i]*w[i] # <<<<<<<<<<<<<< * # ... has to be faster * */ __pyx_t_3 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_21 = PyTuple_New(2); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); PyTuple_SET_ITEM(__pyx_t_21, 0, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __Pyx_INCREF(__pyx_v_n1); PyTuple_SET_ITEM(__pyx_t_21, 1, __pyx_v_n1); __Pyx_GIVEREF(__pyx_v_n1); __pyx_t_3 = 0; __pyx_t_3 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_21)); if (!__pyx_t_3) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_21)); __pyx_t_21 = 0; __pyx_t_21 = __Pyx_GetItemInt(__pyx_v_df, __pyx_v_j, sizeof(int), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_21) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_2 = __Pyx_GetItemInt(__pyx_v_y, __pyx_v_i, sizeof(int), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_2) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_1 = PyNumber_Multiply(__pyx_t_21, __pyx_t_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = __Pyx_GetItemInt(__pyx_v_w, __pyx_v_i, sizeof(int), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_2) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_21 = PyNumber_Multiply(__pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyNumber_Add(__pyx_t_3, __pyx_t_21); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; __pyx_t_21 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_21); __Pyx_GIVEREF(__pyx_t_21); __Pyx_INCREF(__pyx_v_n1); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_n1); __Pyx_GIVEREF(__pyx_v_n1); __pyx_t_21 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_3), __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 134; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; } } __pyx_L11:; } } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":137 * # ... has to be faster * * ncol=nbs[nr+1]-1 # <<<<<<<<<<<<<< * nk=nr-1 * */ __pyx_t_2 = PyNumber_Add(__pyx_v_nr, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 137; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyObject_GetItem(__pyx_v_nbs, __pyx_t_2); if (!__pyx_t_3) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 137; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyNumber_Subtract(__pyx_t_3, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 137; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_ncol = __pyx_t_2; __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":138 * * ncol=nbs[nr+1]-1 * nk=nr-1 # <<<<<<<<<<<<<< * * if (nk == 0): */ __pyx_t_2 = PyNumber_Subtract(__pyx_v_nr, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 138; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_v_nk = __pyx_t_2; __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":140 * nk=nr-1 * * if (nk == 0): # <<<<<<<<<<<<<< * pass * else: */ __pyx_t_2 = PyObject_RichCompare(__pyx_v_nk, __pyx_int_0, Py_EQ); __Pyx_XGOTREF(__pyx_t_2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 140; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_16 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_16 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 140; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; if (__pyx_t_16) { goto __pyx_L18; } /*else*/ { /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":143 * pass * else: * for ik in range(1,nk+1): # <<<<<<<<<<<<<< * ncol=ncol+1 * ns=nbs[ik] */ __pyx_t_2 = PyNumber_Add(__pyx_v_nk, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 143; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 143; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(__pyx_int_1); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_int_1); __Pyx_GIVEREF(__pyx_int_1); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(__pyx_builtin_range, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 143; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; if (PyList_CheckExact(__pyx_t_2) || PyTuple_CheckExact(__pyx_t_2)) { __pyx_t_3 = __pyx_t_2; __Pyx_INCREF(__pyx_t_3); __pyx_t_13 = 0; __pyx_t_22 = NULL; } else { __pyx_t_13 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 143; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_22 = Py_TYPE(__pyx_t_3)->tp_iternext; } __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; for (;;) { if (!__pyx_t_22 && PyList_CheckExact(__pyx_t_3)) { if (__pyx_t_13 >= PyList_GET_SIZE(__pyx_t_3)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_2 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_13); __Pyx_INCREF(__pyx_t_2); __pyx_t_13++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 143; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_13); __pyx_t_13++; if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 143; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else if (!__pyx_t_22 && PyTuple_CheckExact(__pyx_t_3)) { if (__pyx_t_13 >= PyTuple_GET_SIZE(__pyx_t_3)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_13); __Pyx_INCREF(__pyx_t_2); __pyx_t_13++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 143; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_13); __pyx_t_13++; if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 143; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else { __pyx_t_2 = __pyx_t_22(__pyx_t_3); if (unlikely(!__pyx_t_2)) { if (PyErr_Occurred()) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear(); else {__pyx_filename = __pyx_f[0]; __pyx_lineno = 143; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } break; } __Pyx_GOTREF(__pyx_t_2); } __Pyx_XDECREF(__pyx_v_ik); __pyx_v_ik = __pyx_t_2; __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":144 * else: * for ik in range(1,nk+1): * ncol=ncol+1 # <<<<<<<<<<<<<< * ns=nbs[ik] * ne_idl=nbs[ik+1]-1 */ __pyx_t_2 = PyNumber_Add(__pyx_v_ncol, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 144; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_v_ncol); __pyx_v_ncol = __pyx_t_2; __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":145 * for ik in range(1,nk+1): * ncol=ncol+1 * ns=nbs[ik] # <<<<<<<<<<<<<< * ne_idl=nbs[ik+1]-1 * a[ns,ncol]=-1. */ __pyx_t_2 = PyObject_GetItem(__pyx_v_nbs, __pyx_v_ik); if (!__pyx_t_2) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 145; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_8 = __Pyx_PyInt_AsInt(__pyx_t_2); if (unlikely((__pyx_t_8 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 145; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_v_ns = __pyx_t_8; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":146 * ncol=ncol+1 * ns=nbs[ik] * ne_idl=nbs[ik+1]-1 # <<<<<<<<<<<<<< * a[ns,ncol]=-1. * ns=ns+1 */ __pyx_t_2 = PyNumber_Add(__pyx_v_ik, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 146; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_21 = PyObject_GetItem(__pyx_v_nbs, __pyx_t_2); if (!__pyx_t_21) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 146; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyNumber_Subtract(__pyx_t_21, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 146; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; __Pyx_DECREF(__pyx_v_ne_idl); __pyx_v_ne_idl = __pyx_t_2; __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":147 * ns=nbs[ik] * ne_idl=nbs[ik+1]-1 * a[ns,ncol]=-1. # <<<<<<<<<<<<<< * ns=ns+1 * for i in range(ns,ne_idl+1): */ __pyx_t_2 = PyFloat_FromDouble(-1.); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_21 = PyInt_FromLong(__pyx_v_ns); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_21); __Pyx_GIVEREF(__pyx_t_21); __Pyx_INCREF(__pyx_v_ncol); PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_ncol); __Pyx_GIVEREF(__pyx_v_ncol); __pyx_t_21 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_1), __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":148 * ne_idl=nbs[ik+1]-1 * a[ns,ncol]=-1. * ns=ns+1 # <<<<<<<<<<<<<< * for i in range(ns,ne_idl+1): * a[i,ncol]=a[i-1,ncol]*xk[ik] */ __pyx_v_ns = (__pyx_v_ns + 1); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":149 * a[ns,ncol]=-1. * ns=ns+1 * for i in range(ns,ne_idl+1): # <<<<<<<<<<<<<< * a[i,ncol]=a[i-1,ncol]*xk[ik] * ncol=ncol+1 */ __pyx_t_2 = PyNumber_Add(__pyx_v_ne_idl, __pyx_int_1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_9 = __Pyx_PyInt_AsLong(__pyx_t_2); if (unlikely((__pyx_t_9 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; for (__pyx_t_8 = __pyx_v_ns; __pyx_t_8 < __pyx_t_9; __pyx_t_8+=1) { __pyx_v_i = __pyx_t_8; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":150 * ns=ns+1 * for i in range(ns,ne_idl+1): * a[i,ncol]=a[i-1,ncol]*xk[ik] # <<<<<<<<<<<<<< * ncol=ncol+1 * a[ns,ncol]=-1. */ __pyx_t_2 = PyInt_FromLong((__pyx_v_i - 1)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 150; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 150; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __Pyx_INCREF(__pyx_v_ncol); PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_ncol); __Pyx_GIVEREF(__pyx_v_ncol); __pyx_t_2 = 0; __pyx_t_2 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_1)); if (!__pyx_t_2) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 150; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_t_23 = __Pyx_PyIndex_AsSsize_t(__pyx_v_ik); if (unlikely((__pyx_t_23 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 150; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_1 = PyFloat_FromDouble((__pyx_v_xk[__pyx_t_23])); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 150; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_21 = PyNumber_Multiply(__pyx_t_2, __pyx_t_1); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 150; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 150; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 150; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __Pyx_INCREF(__pyx_v_ncol); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_v_ncol); __Pyx_GIVEREF(__pyx_v_ncol); __pyx_t_1 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_2), __pyx_t_21) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 150; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":151 * for i in range(ns,ne_idl+1): * a[i,ncol]=a[i-1,ncol]*xk[ik] * ncol=ncol+1 # <<<<<<<<<<<<<< * a[ns,ncol]=-1. * ns=ns+1 */ __pyx_t_21 = PyNumber_Add(__pyx_v_ncol, __pyx_int_1); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 151; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __Pyx_DECREF(__pyx_v_ncol); __pyx_v_ncol = __pyx_t_21; __pyx_t_21 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":152 * a[i,ncol]=a[i-1,ncol]*xk[ik] * ncol=ncol+1 * a[ns,ncol]=-1. # <<<<<<<<<<<<<< * ns=ns+1 * if (ns > ne_idl): */ __pyx_t_21 = PyFloat_FromDouble(-1.); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_2 = PyInt_FromLong(__pyx_v_ns); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __Pyx_INCREF(__pyx_v_ncol); PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_ncol); __Pyx_GIVEREF(__pyx_v_ncol); __pyx_t_2 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_1), __pyx_t_21) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":153 * ncol=ncol+1 * a[ns,ncol]=-1. * ns=ns+1 # <<<<<<<<<<<<<< * if (ns > ne_idl): * pass */ __pyx_v_ns = (__pyx_v_ns + 1); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":154 * a[ns,ncol]=-1. * ns=ns+1 * if (ns > ne_idl): # <<<<<<<<<<<<<< * pass * else: */ __pyx_t_21 = PyInt_FromLong(__pyx_v_ns); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 154; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_1 = PyObject_RichCompare(__pyx_t_21, __pyx_v_ne_idl, Py_GT); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 154; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; __pyx_t_16 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_16 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 154; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; if (__pyx_t_16) { goto __pyx_L23; } /*else*/ { /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":157 * pass * else: * for i in range(ns,ne_idl+1): # <<<<<<<<<<<<<< * a[i,ncol]=(ns-i-2)*numpy.power(xk[ik],(i-ns+1)) * ncol=ncol-1 */ __pyx_t_1 = PyNumber_Add(__pyx_v_ne_idl, __pyx_int_1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 157; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_9 = __Pyx_PyInt_AsLong(__pyx_t_1); if (unlikely((__pyx_t_9 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 157; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; for (__pyx_t_8 = __pyx_v_ns; __pyx_t_8 < __pyx_t_9; __pyx_t_8+=1) { __pyx_v_i = __pyx_t_8; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":158 * else: * for i in range(ns,ne_idl+1): * a[i,ncol]=(ns-i-2)*numpy.power(xk[ik],(i-ns+1)) # <<<<<<<<<<<<<< * ncol=ncol-1 * ns=nbs[ik+1] */ __pyx_t_1 = PyInt_FromLong(((__pyx_v_ns - __pyx_v_i) - 2)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 158; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_21 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 158; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_21, __pyx_n_s__power); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 158; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; __pyx_t_23 = __Pyx_PyIndex_AsSsize_t(__pyx_v_ik); if (unlikely((__pyx_t_23 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 158; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_21 = PyFloat_FromDouble((__pyx_v_xk[__pyx_t_23])); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 158; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_24 = PyInt_FromLong(((__pyx_v_i - __pyx_v_ns) + 1)); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 158; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_25 = PyTuple_New(2); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 158; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_25); PyTuple_SET_ITEM(__pyx_t_25, 0, __pyx_t_21); __Pyx_GIVEREF(__pyx_t_21); PyTuple_SET_ITEM(__pyx_t_25, 1, __pyx_t_24); __Pyx_GIVEREF(__pyx_t_24); __pyx_t_21 = 0; __pyx_t_24 = 0; __pyx_t_24 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_25), NULL); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 158; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_25)); __pyx_t_25 = 0; __pyx_t_25 = PyNumber_Multiply(__pyx_t_1, __pyx_t_24); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 158; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_25); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; __pyx_t_24 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 158; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 158; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_24); __Pyx_GIVEREF(__pyx_t_24); __Pyx_INCREF(__pyx_v_ncol); PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_ncol); __Pyx_GIVEREF(__pyx_v_ncol); __pyx_t_24 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_1), __pyx_t_25) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 158; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_25); __pyx_t_25 = 0; } } __pyx_L23:; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":159 * for i in range(ns,ne_idl+1): * a[i,ncol]=(ns-i-2)*numpy.power(xk[ik],(i-ns+1)) * ncol=ncol-1 # <<<<<<<<<<<<<< * ns=nbs[ik+1] * ne_idl=nbs[ik+2]-1 */ __pyx_t_25 = PyNumber_Subtract(__pyx_v_ncol, __pyx_int_1); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 159; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_25); __Pyx_DECREF(__pyx_v_ncol); __pyx_v_ncol = __pyx_t_25; __pyx_t_25 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":160 * a[i,ncol]=(ns-i-2)*numpy.power(xk[ik],(i-ns+1)) * ncol=ncol-1 * ns=nbs[ik+1] # <<<<<<<<<<<<<< * ne_idl=nbs[ik+2]-1 * a[ns,ncol]=1.0 */ __pyx_t_25 = PyNumber_Add(__pyx_v_ik, __pyx_int_1); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 160; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_25); __pyx_t_1 = PyObject_GetItem(__pyx_v_nbs, __pyx_t_25); if (!__pyx_t_1) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 160; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_25); __pyx_t_25 = 0; __pyx_t_8 = __Pyx_PyInt_AsInt(__pyx_t_1); if (unlikely((__pyx_t_8 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 160; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_v_ns = __pyx_t_8; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":161 * ncol=ncol-1 * ns=nbs[ik+1] * ne_idl=nbs[ik+2]-1 # <<<<<<<<<<<<<< * a[ns,ncol]=1.0 * ns=ns+1 */ __pyx_t_1 = PyNumber_Add(__pyx_v_ik, __pyx_int_2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_25 = PyObject_GetItem(__pyx_v_nbs, __pyx_t_1); if (!__pyx_t_25) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_25); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyNumber_Subtract(__pyx_t_25, __pyx_int_1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_25); __pyx_t_25 = 0; __Pyx_DECREF(__pyx_v_ne_idl); __pyx_v_ne_idl = __pyx_t_1; __pyx_t_1 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":162 * ns=nbs[ik+1] * ne_idl=nbs[ik+2]-1 * a[ns,ncol]=1.0 # <<<<<<<<<<<<<< * ns=ns+1 * for i in range(ns,ne_idl+1): */ __pyx_t_1 = PyFloat_FromDouble(1.0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 162; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_25 = PyInt_FromLong(__pyx_v_ns); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 162; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_25); __pyx_t_24 = PyTuple_New(2); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 162; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); PyTuple_SET_ITEM(__pyx_t_24, 0, __pyx_t_25); __Pyx_GIVEREF(__pyx_t_25); __Pyx_INCREF(__pyx_v_ncol); PyTuple_SET_ITEM(__pyx_t_24, 1, __pyx_v_ncol); __Pyx_GIVEREF(__pyx_v_ncol); __pyx_t_25 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_24), __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 162; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_24)); __pyx_t_24 = 0; __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":163 * ne_idl=nbs[ik+2]-1 * a[ns,ncol]=1.0 * ns=ns+1 # <<<<<<<<<<<<<< * for i in range(ns,ne_idl+1): * a[i,ncol]=a[i-1,ncol]*xk[ik] */ __pyx_v_ns = (__pyx_v_ns + 1); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":164 * a[ns,ncol]=1.0 * ns=ns+1 * for i in range(ns,ne_idl+1): # <<<<<<<<<<<<<< * a[i,ncol]=a[i-1,ncol]*xk[ik] * ncol=ncol+1 */ __pyx_t_1 = PyNumber_Add(__pyx_v_ne_idl, __pyx_int_1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_9 = __Pyx_PyInt_AsLong(__pyx_t_1); if (unlikely((__pyx_t_9 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; for (__pyx_t_8 = __pyx_v_ns; __pyx_t_8 < __pyx_t_9; __pyx_t_8+=1) { __pyx_v_i = __pyx_t_8; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":165 * ns=ns+1 * for i in range(ns,ne_idl+1): * a[i,ncol]=a[i-1,ncol]*xk[ik] # <<<<<<<<<<<<<< * ncol=ncol+1 * a[ns,ncol]=1.0 */ __pyx_t_1 = PyInt_FromLong((__pyx_v_i - 1)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_24 = PyTuple_New(2); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); PyTuple_SET_ITEM(__pyx_t_24, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __Pyx_INCREF(__pyx_v_ncol); PyTuple_SET_ITEM(__pyx_t_24, 1, __pyx_v_ncol); __Pyx_GIVEREF(__pyx_v_ncol); __pyx_t_1 = 0; __pyx_t_1 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_24)); if (!__pyx_t_1) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(((PyObject *)__pyx_t_24)); __pyx_t_24 = 0; __pyx_t_23 = __Pyx_PyIndex_AsSsize_t(__pyx_v_ik); if (unlikely((__pyx_t_23 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_24 = PyFloat_FromDouble((__pyx_v_xk[__pyx_t_23])); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_25 = PyNumber_Multiply(__pyx_t_1, __pyx_t_24); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_25); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; __pyx_t_24 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_24); __Pyx_GIVEREF(__pyx_t_24); __Pyx_INCREF(__pyx_v_ncol); PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_ncol); __Pyx_GIVEREF(__pyx_v_ncol); __pyx_t_24 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_1), __pyx_t_25) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_25); __pyx_t_25 = 0; } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":166 * for i in range(ns,ne_idl+1): * a[i,ncol]=a[i-1,ncol]*xk[ik] * ncol=ncol+1 # <<<<<<<<<<<<<< * a[ns,ncol]=1.0 * ns=ns+1 */ __pyx_t_25 = PyNumber_Add(__pyx_v_ncol, __pyx_int_1); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 166; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_25); __Pyx_DECREF(__pyx_v_ncol); __pyx_v_ncol = __pyx_t_25; __pyx_t_25 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":167 * a[i,ncol]=a[i-1,ncol]*xk[ik] * ncol=ncol+1 * a[ns,ncol]=1.0 # <<<<<<<<<<<<<< * ns=ns+1 * if (ns > ne_idl): */ __pyx_t_25 = PyFloat_FromDouble(1.0); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 167; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_25); __pyx_t_1 = PyInt_FromLong(__pyx_v_ns); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 167; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_24 = PyTuple_New(2); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 167; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); PyTuple_SET_ITEM(__pyx_t_24, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __Pyx_INCREF(__pyx_v_ncol); PyTuple_SET_ITEM(__pyx_t_24, 1, __pyx_v_ncol); __Pyx_GIVEREF(__pyx_v_ncol); __pyx_t_1 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_24), __pyx_t_25) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 167; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_24)); __pyx_t_24 = 0; __Pyx_DECREF(__pyx_t_25); __pyx_t_25 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":168 * ncol=ncol+1 * a[ns,ncol]=1.0 * ns=ns+1 # <<<<<<<<<<<<<< * if (ns > ne_idl): * pass */ __pyx_v_ns = (__pyx_v_ns + 1); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":169 * a[ns,ncol]=1.0 * ns=ns+1 * if (ns > ne_idl): # <<<<<<<<<<<<<< * pass * else: */ __pyx_t_25 = PyInt_FromLong(__pyx_v_ns); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 169; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_25); __pyx_t_24 = PyObject_RichCompare(__pyx_t_25, __pyx_v_ne_idl, Py_GT); __Pyx_XGOTREF(__pyx_t_24); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 169; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_25); __pyx_t_25 = 0; __pyx_t_16 = __Pyx_PyObject_IsTrue(__pyx_t_24); if (unlikely(__pyx_t_16 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 169; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; if (__pyx_t_16) { goto __pyx_L28; } /*else*/ { /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":172 * pass * else: * for i in range(ns,ne_idl+1): # <<<<<<<<<<<<<< * a[i,ncol]=(i-ns+2)*numpy.power(xk[ik],(i-ns+1)) * */ __pyx_t_24 = PyNumber_Add(__pyx_v_ne_idl, __pyx_int_1); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 172; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_9 = __Pyx_PyInt_AsLong(__pyx_t_24); if (unlikely((__pyx_t_9 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 172; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; for (__pyx_t_8 = __pyx_v_ns; __pyx_t_8 < __pyx_t_9; __pyx_t_8+=1) { __pyx_v_i = __pyx_t_8; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":173 * else: * for i in range(ns,ne_idl+1): * a[i,ncol]=(i-ns+2)*numpy.power(xk[ik],(i-ns+1)) # <<<<<<<<<<<<<< * * for i in range(1,n+1): */ __pyx_t_24 = PyInt_FromLong(((__pyx_v_i - __pyx_v_ns) + 2)); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 173; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_25 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 173; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_25); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_25, __pyx_n_s__power); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 173; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_25); __pyx_t_25 = 0; __pyx_t_23 = __Pyx_PyIndex_AsSsize_t(__pyx_v_ik); if (unlikely((__pyx_t_23 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 173; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_25 = PyFloat_FromDouble((__pyx_v_xk[__pyx_t_23])); if (unlikely(!__pyx_t_25)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 173; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_25); __pyx_t_2 = PyInt_FromLong(((__pyx_v_i - __pyx_v_ns) + 1)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 173; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_21 = PyTuple_New(2); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 173; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); PyTuple_SET_ITEM(__pyx_t_21, 0, __pyx_t_25); __Pyx_GIVEREF(__pyx_t_25); PyTuple_SET_ITEM(__pyx_t_21, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_25 = 0; __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_21), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 173; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_21)); __pyx_t_21 = 0; __pyx_t_21 = PyNumber_Multiply(__pyx_t_24, __pyx_t_2); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 173; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 173; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_24 = PyTuple_New(2); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 173; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); PyTuple_SET_ITEM(__pyx_t_24, 0, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __Pyx_INCREF(__pyx_v_ncol); PyTuple_SET_ITEM(__pyx_t_24, 1, __pyx_v_ncol); __Pyx_GIVEREF(__pyx_v_ncol); __pyx_t_2 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_24), __pyx_t_21) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 173; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_24)); __pyx_t_24 = 0; __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; } } __pyx_L28:; } __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } __pyx_L18:; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":175 * a[i,ncol]=(i-ns+2)*numpy.power(xk[ik],(i-ns+1)) * * for i in range(1,n+1): # <<<<<<<<<<<<<< * i1=i-1 * for j in range(1,i1+1): */ __pyx_t_3 = PyNumber_Add(__pyx_v_n, __pyx_int_1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 175; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_9 = __Pyx_PyInt_AsLong(__pyx_t_3); if (unlikely((__pyx_t_9 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 175; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; for (__pyx_t_8 = 1; __pyx_t_8 < __pyx_t_9; __pyx_t_8+=1) { __pyx_v_i = __pyx_t_8; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":176 * * for i in range(1,n+1): * i1=i-1 # <<<<<<<<<<<<<< * for j in range(1,i1+1): * a[i,j]=a[j,i] */ __pyx_t_3 = PyInt_FromLong((__pyx_v_i - 1)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 176; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_XDECREF(__pyx_v_i1); __pyx_v_i1 = __pyx_t_3; __pyx_t_3 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":177 * for i in range(1,n+1): * i1=i-1 * for j in range(1,i1+1): # <<<<<<<<<<<<<< * a[i,j]=a[j,i] * nm1=n-1 */ __pyx_t_3 = PyNumber_Add(__pyx_v_i1, __pyx_int_1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 177; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_10 = __Pyx_PyInt_AsLong(__pyx_t_3); if (unlikely((__pyx_t_10 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 177; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; for (__pyx_t_14 = 1; __pyx_t_14 < __pyx_t_10; __pyx_t_14+=1) { __pyx_v_j = __pyx_t_14; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":178 * i1=i-1 * for j in range(1,i1+1): * a[i,j]=a[j,i] # <<<<<<<<<<<<<< * nm1=n-1 * */ __pyx_t_3 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_21 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_24 = PyTuple_New(2); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); PyTuple_SET_ITEM(__pyx_t_24, 0, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_24, 1, __pyx_t_21); __Pyx_GIVEREF(__pyx_t_21); __pyx_t_3 = 0; __pyx_t_21 = 0; __pyx_t_21 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_24)); if (!__pyx_t_21) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __Pyx_DECREF(((PyObject *)__pyx_t_24)); __pyx_t_24 = 0; __pyx_t_24 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_3 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_24); __Pyx_GIVEREF(__pyx_t_24); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_24 = 0; __pyx_t_3 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_2), __pyx_t_21) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; } } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":179 * for j in range(1,i1+1): * a[i,j]=a[j,i] * nm1=n-1 # <<<<<<<<<<<<<< * * for i in range(1,nm1+1): */ __pyx_t_21 = PyNumber_Subtract(__pyx_v_n, __pyx_int_1); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 179; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_v_nm1 = __pyx_t_21; __pyx_t_21 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":181 * nm1=n-1 * * for i in range(1,nm1+1): # <<<<<<<<<<<<<< * i1=i+1 * m=i */ __pyx_t_21 = PyNumber_Add(__pyx_v_nm1, __pyx_int_1); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 181; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_9 = __Pyx_PyInt_AsLong(__pyx_t_21); if (unlikely((__pyx_t_9 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 181; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; for (__pyx_t_8 = 1; __pyx_t_8 < __pyx_t_9; __pyx_t_8+=1) { __pyx_v_i = __pyx_t_8; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":182 * * for i in range(1,nm1+1): * i1=i+1 # <<<<<<<<<<<<<< * m=i * t=numpy.abs(a[i,i]) */ __pyx_t_21 = PyInt_FromLong((__pyx_v_i + 1)); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 182; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __Pyx_XDECREF(__pyx_v_i1); __pyx_v_i1 = __pyx_t_21; __pyx_t_21 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":183 * for i in range(1,nm1+1): * i1=i+1 * m=i # <<<<<<<<<<<<<< * t=numpy.abs(a[i,i]) * for j in range(i1,n+1): */ __pyx_v_m = __pyx_v_i; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":184 * i1=i+1 * m=i * t=numpy.abs(a[i,i]) # <<<<<<<<<<<<<< * for j in range(i1,n+1): * if (t >= numpy.abs(a[j,i])): */ __pyx_t_21 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 184; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_21, __pyx_n_s__abs); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 184; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; __pyx_t_21 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 184; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_3 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 184; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_24 = PyTuple_New(2); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 184; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); PyTuple_SET_ITEM(__pyx_t_24, 0, __pyx_t_21); __Pyx_GIVEREF(__pyx_t_21); PyTuple_SET_ITEM(__pyx_t_24, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_21 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_24)); if (!__pyx_t_3) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 184; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_24)); __pyx_t_24 = 0; __pyx_t_24 = PyTuple_New(1); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 184; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); PyTuple_SET_ITEM(__pyx_t_24, 0, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_24), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 184; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_24)); __pyx_t_24 = 0; __Pyx_XDECREF(__pyx_v_t); __pyx_v_t = __pyx_t_3; __pyx_t_3 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":185 * m=i * t=numpy.abs(a[i,i]) * for j in range(i1,n+1): # <<<<<<<<<<<<<< * if (t >= numpy.abs(a[j,i])): * pass */ __pyx_t_3 = PyNumber_Add(__pyx_v_n, __pyx_int_1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 185; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_10 = __Pyx_PyInt_AsLong(__pyx_t_3); if (unlikely((__pyx_t_10 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 185; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_17 = __Pyx_PyInt_AsLong(__pyx_v_i1); if (unlikely((__pyx_t_17 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 185; __pyx_clineno = __LINE__; goto __pyx_L1_error;} for (__pyx_t_14 = __pyx_t_17; __pyx_t_14 < __pyx_t_10; __pyx_t_14+=1) { __pyx_v_j = __pyx_t_14; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":186 * t=numpy.abs(a[i,i]) * for j in range(i1,n+1): * if (t >= numpy.abs(a[j,i])): # <<<<<<<<<<<<<< * pass * else: */ __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 186; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_24 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s__abs); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 186; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 186; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_2 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 186; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_21 = PyTuple_New(2); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 186; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); PyTuple_SET_ITEM(__pyx_t_21, 0, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_21, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_3 = 0; __pyx_t_2 = 0; __pyx_t_2 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_21)); if (!__pyx_t_2) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 186; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_21)); __pyx_t_21 = 0; __pyx_t_21 = PyTuple_New(1); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 186; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); PyTuple_SET_ITEM(__pyx_t_21, 0, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(__pyx_t_24, ((PyObject *)__pyx_t_21), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 186; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_21)); __pyx_t_21 = 0; __pyx_t_21 = PyObject_RichCompare(__pyx_v_t, __pyx_t_2, Py_GE); __Pyx_XGOTREF(__pyx_t_21); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 186; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_16 = __Pyx_PyObject_IsTrue(__pyx_t_21); if (unlikely(__pyx_t_16 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 186; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; if (__pyx_t_16) { goto __pyx_L39; } /*else*/ { /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":189 * pass * else: * m=j # <<<<<<<<<<<<<< * t=numpy.abs(a[j,i]) * if (m == i): */ __pyx_v_m = __pyx_v_j; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":190 * else: * m=j * t=numpy.abs(a[j,i]) # <<<<<<<<<<<<<< * if (m == i): * pass */ __pyx_t_21 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_21, __pyx_n_s__abs); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; __pyx_t_21 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_24 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_21); __Pyx_GIVEREF(__pyx_t_21); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_24); __Pyx_GIVEREF(__pyx_t_24); __pyx_t_21 = 0; __pyx_t_24 = 0; __pyx_t_24 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_3)); if (!__pyx_t_24) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_24); __Pyx_GIVEREF(__pyx_t_24); __pyx_t_24 = 0; __pyx_t_24 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_v_t); __pyx_v_t = __pyx_t_24; __pyx_t_24 = 0; } __pyx_L39:; } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":191 * m=j * t=numpy.abs(a[j,i]) * if (m == i): # <<<<<<<<<<<<<< * pass * else: */ __pyx_t_16 = ((__pyx_v_m == __pyx_v_i) != 0); if (__pyx_t_16) { goto __pyx_L40; } /*else*/ { /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":194 * pass * else: * for j in range(1,n1+1): # <<<<<<<<<<<<<< * t=a[i,j] * a[i,j]=a[m,j] */ __pyx_t_24 = PyNumber_Add(__pyx_v_n1, __pyx_int_1); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 194; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_10 = __Pyx_PyInt_AsLong(__pyx_t_24); if (unlikely((__pyx_t_10 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 194; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; for (__pyx_t_14 = 1; __pyx_t_14 < __pyx_t_10; __pyx_t_14+=1) { __pyx_v_j = __pyx_t_14; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":195 * else: * for j in range(1,n1+1): * t=a[i,j] # <<<<<<<<<<<<<< * a[i,j]=a[m,j] * a[m,j]=t */ __pyx_t_24 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 195; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_3 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 195; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 195; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_24); __Pyx_GIVEREF(__pyx_t_24); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_24 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_2)); if (!__pyx_t_3) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 195; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __Pyx_DECREF(__pyx_v_t); __pyx_v_t = __pyx_t_3; __pyx_t_3 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":196 * for j in range(1,n1+1): * t=a[i,j] * a[i,j]=a[m,j] # <<<<<<<<<<<<<< * a[m,j]=t * for j in range(i1,n+1): */ __pyx_t_3 = PyInt_FromLong(__pyx_v_m); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 196; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_2 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 196; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_24 = PyTuple_New(2); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 196; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); PyTuple_SET_ITEM(__pyx_t_24, 0, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_24, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_3 = 0; __pyx_t_2 = 0; __pyx_t_2 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_24)); if (!__pyx_t_2) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 196; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_24)); __pyx_t_24 = 0; __pyx_t_24 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 196; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_3 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 196; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_21 = PyTuple_New(2); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 196; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); PyTuple_SET_ITEM(__pyx_t_21, 0, __pyx_t_24); __Pyx_GIVEREF(__pyx_t_24); PyTuple_SET_ITEM(__pyx_t_21, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_24 = 0; __pyx_t_3 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_21), __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 196; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_21)); __pyx_t_21 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":197 * t=a[i,j] * a[i,j]=a[m,j] * a[m,j]=t # <<<<<<<<<<<<<< * for j in range(i1,n+1): * t=a[j,i]/a[i,i] */ __pyx_t_2 = PyInt_FromLong(__pyx_v_m); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 197; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_21 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 197; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 197; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_21); __Pyx_GIVEREF(__pyx_t_21); __pyx_t_2 = 0; __pyx_t_21 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_3), __pyx_v_t) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 197; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; } } __pyx_L40:; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":198 * a[i,j]=a[m,j] * a[m,j]=t * for j in range(i1,n+1): # <<<<<<<<<<<<<< * t=a[j,i]/a[i,i] * for k in range(i1,n1+1): */ __pyx_t_3 = PyNumber_Add(__pyx_v_n, __pyx_int_1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_10 = __Pyx_PyInt_AsLong(__pyx_t_3); if (unlikely((__pyx_t_10 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_17 = __Pyx_PyInt_AsLong(__pyx_v_i1); if (unlikely((__pyx_t_17 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 198; __pyx_clineno = __LINE__; goto __pyx_L1_error;} for (__pyx_t_14 = __pyx_t_17; __pyx_t_14 < __pyx_t_10; __pyx_t_14+=1) { __pyx_v_j = __pyx_t_14; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":199 * a[m,j]=t * for j in range(i1,n+1): * t=a[j,i]/a[i,i] # <<<<<<<<<<<<<< * for k in range(i1,n1+1): * a[j,k]=a[j,k]-t*a[i,k] */ __pyx_t_3 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 199; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_21 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 199; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 199; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_21); __Pyx_GIVEREF(__pyx_t_21); __pyx_t_3 = 0; __pyx_t_21 = 0; __pyx_t_21 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_2)); if (!__pyx_t_21) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 199; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_t_2 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 199; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 199; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_24 = PyTuple_New(2); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 199; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); PyTuple_SET_ITEM(__pyx_t_24, 0, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_24, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_2 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_24)); if (!__pyx_t_3) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 199; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_24)); __pyx_t_24 = 0; __pyx_t_24 = __Pyx_PyNumber_Divide(__pyx_t_21, __pyx_t_3); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 199; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_v_t); __pyx_v_t = __pyx_t_24; __pyx_t_24 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":200 * for j in range(i1,n+1): * t=a[j,i]/a[i,i] * for k in range(i1,n1+1): # <<<<<<<<<<<<<< * a[j,k]=a[j,k]-t*a[i,k] * c[n]=a[n,n1]/a[n,n] */ __pyx_t_24 = PyNumber_Add(__pyx_v_n1, __pyx_int_1); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 200; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_19 = __Pyx_PyInt_AsLong(__pyx_t_24); if (unlikely((__pyx_t_19 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 200; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; __pyx_t_26 = __Pyx_PyInt_AsLong(__pyx_v_i1); if (unlikely((__pyx_t_26 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 200; __pyx_clineno = __LINE__; goto __pyx_L1_error;} for (__pyx_t_18 = __pyx_t_26; __pyx_t_18 < __pyx_t_19; __pyx_t_18+=1) { __pyx_v_k = __pyx_t_18; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":201 * t=a[j,i]/a[i,i] * for k in range(i1,n1+1): * a[j,k]=a[j,k]-t*a[i,k] # <<<<<<<<<<<<<< * c[n]=a[n,n1]/a[n,n] * for i in range(1,nm1+1): */ __pyx_t_24 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_3 = PyInt_FromLong(__pyx_v_k); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_21 = PyTuple_New(2); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); PyTuple_SET_ITEM(__pyx_t_21, 0, __pyx_t_24); __Pyx_GIVEREF(__pyx_t_24); PyTuple_SET_ITEM(__pyx_t_21, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_24 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_21)); if (!__pyx_t_3) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_21)); __pyx_t_21 = 0; __pyx_t_21 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __pyx_t_24 = PyInt_FromLong(__pyx_v_k); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_21); __Pyx_GIVEREF(__pyx_t_21); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_24); __Pyx_GIVEREF(__pyx_t_24); __pyx_t_21 = 0; __pyx_t_24 = 0; __pyx_t_24 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_2)); if (!__pyx_t_24) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_t_2 = PyNumber_Multiply(__pyx_v_t, __pyx_t_24); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; __pyx_t_24 = PyNumber_Subtract(__pyx_t_3, __pyx_t_2); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyInt_FromLong(__pyx_v_k); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_21 = PyTuple_New(2); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); PyTuple_SET_ITEM(__pyx_t_21, 0, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_21, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_2 = 0; __pyx_t_3 = 0; if (PyObject_SetItem(__pyx_v_a, ((PyObject *)__pyx_t_21), __pyx_t_24) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 201; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_21)); __pyx_t_21 = 0; __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; } } } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":202 * for k in range(i1,n1+1): * a[j,k]=a[j,k]-t*a[i,k] * c[n]=a[n,n1]/a[n,n] # <<<<<<<<<<<<<< * for i in range(1,nm1+1): * ni=n-i */ __pyx_t_24 = PyTuple_New(2); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __Pyx_INCREF(__pyx_v_n); PyTuple_SET_ITEM(__pyx_t_24, 0, __pyx_v_n); __Pyx_GIVEREF(__pyx_v_n); __Pyx_INCREF(__pyx_v_n1); PyTuple_SET_ITEM(__pyx_t_24, 1, __pyx_v_n1); __Pyx_GIVEREF(__pyx_v_n1); __pyx_t_21 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_24)); if (!__pyx_t_21) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __Pyx_DECREF(((PyObject *)__pyx_t_24)); __pyx_t_24 = 0; __pyx_t_24 = PyTuple_New(2); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __Pyx_INCREF(__pyx_v_n); PyTuple_SET_ITEM(__pyx_t_24, 0, __pyx_v_n); __Pyx_GIVEREF(__pyx_v_n); __Pyx_INCREF(__pyx_v_n); PyTuple_SET_ITEM(__pyx_t_24, 1, __pyx_v_n); __Pyx_GIVEREF(__pyx_v_n); __pyx_t_3 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_24)); if (!__pyx_t_3) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_24)); __pyx_t_24 = 0; __pyx_t_24 = __Pyx_PyNumber_Divide(__pyx_t_21, __pyx_t_3); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (PyObject_SetItem(__pyx_v_c, __pyx_v_n, __pyx_t_24) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 202; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":203 * a[j,k]=a[j,k]-t*a[i,k] * c[n]=a[n,n1]/a[n,n] * for i in range(1,nm1+1): # <<<<<<<<<<<<<< * ni=n-i * t=a[ni,n1] */ __pyx_t_24 = PyNumber_Add(__pyx_v_nm1, __pyx_int_1); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 203; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_9 = __Pyx_PyInt_AsLong(__pyx_t_24); if (unlikely((__pyx_t_9 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 203; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; for (__pyx_t_8 = 1; __pyx_t_8 < __pyx_t_9; __pyx_t_8+=1) { __pyx_v_i = __pyx_t_8; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":204 * c[n]=a[n,n1]/a[n,n] * for i in range(1,nm1+1): * ni=n-i # <<<<<<<<<<<<<< * t=a[ni,n1] * ni1=ni+1 */ __pyx_t_24 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 204; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_3 = PyNumber_Subtract(__pyx_v_n, __pyx_t_24); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 204; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; __Pyx_XDECREF(__pyx_v_ni); __pyx_v_ni = __pyx_t_3; __pyx_t_3 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":205 * for i in range(1,nm1+1): * ni=n-i * t=a[ni,n1] # <<<<<<<<<<<<<< * ni1=ni+1 * for j in range(ni1,n+1): */ __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 205; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(__pyx_v_ni); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_ni); __Pyx_GIVEREF(__pyx_v_ni); __Pyx_INCREF(__pyx_v_n1); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_n1); __Pyx_GIVEREF(__pyx_v_n1); __pyx_t_24 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_3)); if (!__pyx_t_24) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 205; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_XDECREF(__pyx_v_t); __pyx_v_t = __pyx_t_24; __pyx_t_24 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":206 * ni=n-i * t=a[ni,n1] * ni1=ni+1 # <<<<<<<<<<<<<< * for j in range(ni1,n+1): * t=t-c[j]*a[ni,j] */ __pyx_t_24 = PyNumber_Add(__pyx_v_ni, __pyx_int_1); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 206; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __Pyx_XDECREF(__pyx_v_ni1); __pyx_v_ni1 = __pyx_t_24; __pyx_t_24 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":207 * t=a[ni,n1] * ni1=ni+1 * for j in range(ni1,n+1): # <<<<<<<<<<<<<< * t=t-c[j]*a[ni,j] * c[ni]=t/a[ni,ni] */ __pyx_t_24 = PyNumber_Add(__pyx_v_n, __pyx_int_1); if (unlikely(!__pyx_t_24)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 207; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_10 = __Pyx_PyInt_AsLong(__pyx_t_24); if (unlikely((__pyx_t_10 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 207; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; __pyx_t_17 = __Pyx_PyInt_AsLong(__pyx_v_ni1); if (unlikely((__pyx_t_17 == (long)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 207; __pyx_clineno = __LINE__; goto __pyx_L1_error;} for (__pyx_t_14 = __pyx_t_17; __pyx_t_14 < __pyx_t_10; __pyx_t_14+=1) { __pyx_v_j = __pyx_t_14; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":208 * ni1=ni+1 * for j in range(ni1,n+1): * t=t-c[j]*a[ni,j] # <<<<<<<<<<<<<< * c[ni]=t/a[ni,ni] * */ __pyx_t_24 = __Pyx_GetItemInt(__pyx_v_c, __pyx_v_j, sizeof(int), PyInt_FromLong, 0, 1, 1); if (!__pyx_t_24) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 208; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_24); __pyx_t_3 = PyInt_FromLong(__pyx_v_j); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 208; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_21 = PyTuple_New(2); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 208; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __Pyx_INCREF(__pyx_v_ni); PyTuple_SET_ITEM(__pyx_t_21, 0, __pyx_v_ni); __Pyx_GIVEREF(__pyx_v_ni); PyTuple_SET_ITEM(__pyx_t_21, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_21)); if (!__pyx_t_3) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 208; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_21)); __pyx_t_21 = 0; __pyx_t_21 = PyNumber_Multiply(__pyx_t_24, __pyx_t_3); if (unlikely(!__pyx_t_21)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 208; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __Pyx_DECREF(__pyx_t_24); __pyx_t_24 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyNumber_Subtract(__pyx_v_t, __pyx_t_21); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 208; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; __Pyx_DECREF(__pyx_v_t); __pyx_v_t = __pyx_t_3; __pyx_t_3 = 0; } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":209 * for j in range(ni1,n+1): * t=t-c[j]*a[ni,j] * c[ni]=t/a[ni,ni] # <<<<<<<<<<<<<< * * return c */ __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 209; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(__pyx_v_ni); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_ni); __Pyx_GIVEREF(__pyx_v_ni); __Pyx_INCREF(__pyx_v_ni); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_ni); __Pyx_GIVEREF(__pyx_v_ni); __pyx_t_21 = PyObject_GetItem(__pyx_v_a, ((PyObject *)__pyx_t_3)); if (!__pyx_t_21) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 209; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_21); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_t_3 = __Pyx_PyNumber_Divide(__pyx_v_t, __pyx_t_21); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 209; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0; if (PyObject_SetItem(__pyx_v_c, __pyx_v_ni, __pyx_t_3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 209; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":211 * c[ni]=t/a[ni,ni] * * return c # <<<<<<<<<<<<<< * */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_c); __pyx_r = __pyx_v_c; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __PYX_XDEC_MEMVIEW(&__pyx_t_6, 1); __Pyx_XDECREF(__pyx_t_21); __Pyx_XDECREF(__pyx_t_24); __Pyx_XDECREF(__pyx_t_25); { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_buffer_xh0.rcbuffer->pybuffer); __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_buffer_xl0.rcbuffer->pybuffer); __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} __Pyx_AddTraceback("PyMca5.PyMcaPhysics.xas._xas.polspl2", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; goto __pyx_L2; __pyx_L0:; __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_buffer_xh0.rcbuffer->pybuffer); __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_buffer_xl0.rcbuffer->pybuffer); __pyx_L2:; __Pyx_XDECREF((PyObject *)__pyx_v_buffer_xl0); __Pyx_XDECREF((PyObject *)__pyx_v_buffer_xh0); __Pyx_XDECREF(__pyx_v_df); __Pyx_XDECREF(__pyx_v_a); __Pyx_XDECREF(__pyx_v_nbs); __PYX_XDEC_MEMVIEW(&__pyx_v_xk0, 1); __Pyx_XDECREF(__pyx_v_c); __Pyx_XDECREF(__pyx_v_ne_idl); __Pyx_XDECREF(__pyx_v_n); __Pyx_XDECREF(__pyx_v_t); __Pyx_XDECREF(__pyx_v_n1); __Pyx_XDECREF(__pyx_v_ncol); __Pyx_XDECREF(__pyx_v_nk); __Pyx_XDECREF(__pyx_v_ik); __Pyx_XDECREF(__pyx_v_i1); __Pyx_XDECREF(__pyx_v_nm1); __Pyx_XDECREF(__pyx_v_ni); __Pyx_XDECREF(__pyx_v_ni1); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); __pyx_r = __pyx_pf_5numpy_7ndarray___getbuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":194 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< * # This implementation of getbuffer is geared towards Cython * # requirements, and does not yet fullfill the PEP. */ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_v_copy_shape; int __pyx_v_i; int __pyx_v_ndim; int __pyx_v_endian_detector; int __pyx_v_little_endian; int __pyx_v_t; char *__pyx_v_f; PyArray_Descr *__pyx_v_descr = 0; int __pyx_v_offset; int __pyx_v_hasfields; int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; PyObject *__pyx_t_4 = NULL; int __pyx_t_5; int __pyx_t_6; int __pyx_t_7; PyObject *__pyx_t_8 = NULL; char *__pyx_t_9; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getbuffer__", 0); if (__pyx_v_info != NULL) { __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); } /* "numpy.pxd":200 * # of flags * * if info == NULL: return # <<<<<<<<<<<<<< * * cdef int copy_shape, i, ndim */ __pyx_t_1 = ((__pyx_v_info == NULL) != 0); if (__pyx_t_1) { __pyx_r = 0; goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "numpy.pxd":203 * * cdef int copy_shape, i, ndim * cdef int endian_detector = 1 # <<<<<<<<<<<<<< * cdef bint little_endian = ((&endian_detector)[0] != 0) * */ __pyx_v_endian_detector = 1; /* "numpy.pxd":204 * cdef int copy_shape, i, ndim * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< * * ndim = PyArray_NDIM(self) */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); /* "numpy.pxd":206 * cdef bint little_endian = ((&endian_detector)[0] != 0) * * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< * * if sizeof(npy_intp) != sizeof(Py_ssize_t): */ __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); /* "numpy.pxd":208 * ndim = PyArray_NDIM(self) * * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< * copy_shape = 1 * else: */ __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { /* "numpy.pxd":209 * * if sizeof(npy_intp) != sizeof(Py_ssize_t): * copy_shape = 1 # <<<<<<<<<<<<<< * else: * copy_shape = 0 */ __pyx_v_copy_shape = 1; goto __pyx_L4; } /*else*/ { /* "numpy.pxd":211 * copy_shape = 1 * else: * copy_shape = 0 # <<<<<<<<<<<<<< * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) */ __pyx_v_copy_shape = 0; } __pyx_L4:; /* "numpy.pxd":213 * copy_shape = 0 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< * and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") */ __pyx_t_1 = (((__pyx_v_flags & PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS) != 0); if (__pyx_t_1) { /* "numpy.pxd":214 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< * raise ValueError(u"ndarray is not C contiguous") * */ __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_C_CONTIGUOUS) != 0)) != 0); __pyx_t_3 = __pyx_t_2; } else { __pyx_t_3 = __pyx_t_1; } if (__pyx_t_3) { /* "numpy.pxd":215 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_10), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; /* "numpy.pxd":217 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< * and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") */ __pyx_t_3 = (((__pyx_v_flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS) != 0); if (__pyx_t_3) { /* "numpy.pxd":218 * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< * raise ValueError(u"ndarray is not Fortran contiguous") * */ __pyx_t_1 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_F_CONTIGUOUS) != 0)) != 0); __pyx_t_2 = __pyx_t_1; } else { __pyx_t_2 = __pyx_t_3; } if (__pyx_t_2) { /* "numpy.pxd":219 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< * * info.buf = PyArray_DATA(self) */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_12), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; /* "numpy.pxd":221 * raise ValueError(u"ndarray is not Fortran contiguous") * * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< * info.ndim = ndim * if copy_shape: */ __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); /* "numpy.pxd":222 * * info.buf = PyArray_DATA(self) * info.ndim = ndim # <<<<<<<<<<<<<< * if copy_shape: * # Allocate new buffer for strides and shape info. */ __pyx_v_info->ndim = __pyx_v_ndim; /* "numpy.pxd":223 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if copy_shape: # <<<<<<<<<<<<<< * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. */ __pyx_t_2 = (__pyx_v_copy_shape != 0); if (__pyx_t_2) { /* "numpy.pxd":226 * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. * info.strides = stdlib.malloc(sizeof(Py_ssize_t) * ndim * 2) # <<<<<<<<<<<<<< * info.shape = info.strides + ndim * for i in range(ndim): */ __pyx_v_info->strides = ((Py_ssize_t *)malloc((((sizeof(Py_ssize_t)) * ((size_t)__pyx_v_ndim)) * 2))); /* "numpy.pxd":227 * # This is allocated as one block, strides first. * info.strides = stdlib.malloc(sizeof(Py_ssize_t) * ndim * 2) * info.shape = info.strides + ndim # <<<<<<<<<<<<<< * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] */ __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); /* "numpy.pxd":228 * info.strides = stdlib.malloc(sizeof(Py_ssize_t) * ndim * 2) * info.shape = info.strides + ndim * for i in range(ndim): # <<<<<<<<<<<<<< * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] */ __pyx_t_5 = __pyx_v_ndim; for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; /* "numpy.pxd":229 * info.shape = info.strides + ndim * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< * info.shape[i] = PyArray_DIMS(self)[i] * else: */ (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); /* "numpy.pxd":230 * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< * else: * info.strides = PyArray_STRIDES(self) */ (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); } goto __pyx_L7; } /*else*/ { /* "numpy.pxd":232 * info.shape[i] = PyArray_DIMS(self)[i] * else: * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL */ __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); /* "numpy.pxd":233 * else: * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) */ __pyx_v_info->shape = ((Py_ssize_t *)PyArray_DIMS(__pyx_v_self)); } __pyx_L7:; /* "numpy.pxd":234 * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL # <<<<<<<<<<<<<< * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) */ __pyx_v_info->suboffsets = NULL; /* "numpy.pxd":235 * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< * info.readonly = not PyArray_ISWRITEABLE(self) * */ __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); /* "numpy.pxd":236 * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< * * cdef int t */ __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); /* "numpy.pxd":239 * * cdef int t * cdef char* f = NULL # <<<<<<<<<<<<<< * cdef dtype descr = self.descr * cdef list stack */ __pyx_v_f = NULL; /* "numpy.pxd":240 * cdef int t * cdef char* f = NULL * cdef dtype descr = self.descr # <<<<<<<<<<<<<< * cdef list stack * cdef int offset */ __pyx_t_4 = ((PyObject *)__pyx_v_self->descr); __Pyx_INCREF(__pyx_t_4); __pyx_v_descr = ((PyArray_Descr *)__pyx_t_4); __pyx_t_4 = 0; /* "numpy.pxd":244 * cdef int offset * * cdef bint hasfields = PyDataType_HASFIELDS(descr) # <<<<<<<<<<<<<< * * if not hasfields and not copy_shape: */ __pyx_v_hasfields = PyDataType_HASFIELDS(__pyx_v_descr); /* "numpy.pxd":246 * cdef bint hasfields = PyDataType_HASFIELDS(descr) * * if not hasfields and not copy_shape: # <<<<<<<<<<<<<< * # do not call releasebuffer * info.obj = None */ __pyx_t_2 = ((!(__pyx_v_hasfields != 0)) != 0); if (__pyx_t_2) { __pyx_t_3 = ((!(__pyx_v_copy_shape != 0)) != 0); __pyx_t_1 = __pyx_t_3; } else { __pyx_t_1 = __pyx_t_2; } if (__pyx_t_1) { /* "numpy.pxd":248 * if not hasfields and not copy_shape: * # do not call releasebuffer * info.obj = None # <<<<<<<<<<<<<< * else: * # need to call releasebuffer */ __Pyx_INCREF(Py_None); __Pyx_GIVEREF(Py_None); __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = Py_None; goto __pyx_L10; } /*else*/ { /* "numpy.pxd":251 * else: * # need to call releasebuffer * info.obj = self # <<<<<<<<<<<<<< * * if not hasfields: */ __Pyx_INCREF(((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); } __pyx_L10:; /* "numpy.pxd":253 * info.obj = self * * if not hasfields: # <<<<<<<<<<<<<< * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or */ __pyx_t_1 = ((!(__pyx_v_hasfields != 0)) != 0); if (__pyx_t_1) { /* "numpy.pxd":254 * * if not hasfields: * t = descr.type_num # <<<<<<<<<<<<<< * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): */ __pyx_t_5 = __pyx_v_descr->type_num; __pyx_v_t = __pyx_t_5; /* "numpy.pxd":255 * if not hasfields: * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") */ __pyx_t_1 = ((__pyx_v_descr->byteorder == '>') != 0); if (__pyx_t_1) { __pyx_t_2 = (__pyx_v_little_endian != 0); } else { __pyx_t_2 = __pyx_t_1; } if (!__pyx_t_2) { /* "numpy.pxd":256 * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" */ __pyx_t_1 = ((__pyx_v_descr->byteorder == '<') != 0); if (__pyx_t_1) { __pyx_t_3 = ((!(__pyx_v_little_endian != 0)) != 0); __pyx_t_7 = __pyx_t_3; } else { __pyx_t_7 = __pyx_t_1; } __pyx_t_1 = __pyx_t_7; } else { __pyx_t_1 = __pyx_t_2; } if (__pyx_t_1) { /* "numpy.pxd":257 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_14), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L12; } __pyx_L12:; /* "numpy.pxd":274 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) */ switch (__pyx_v_t) { /* "numpy.pxd":258 * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" */ case NPY_BYTE: __pyx_v_f = __pyx_k__b; break; /* "numpy.pxd":259 * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" */ case NPY_UBYTE: __pyx_v_f = __pyx_k__B; break; /* "numpy.pxd":260 * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" */ case NPY_SHORT: __pyx_v_f = __pyx_k__h; break; /* "numpy.pxd":261 * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" */ case NPY_USHORT: __pyx_v_f = __pyx_k__H; break; /* "numpy.pxd":262 * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" */ case NPY_INT: __pyx_v_f = __pyx_k__i; break; /* "numpy.pxd":263 * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" */ case NPY_UINT: __pyx_v_f = __pyx_k__I; break; /* "numpy.pxd":264 * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" */ case NPY_LONG: __pyx_v_f = __pyx_k__l; break; /* "numpy.pxd":265 * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" */ case NPY_ULONG: __pyx_v_f = __pyx_k__L; break; /* "numpy.pxd":266 * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" */ case NPY_LONGLONG: __pyx_v_f = __pyx_k__q; break; /* "numpy.pxd":267 * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" */ case NPY_ULONGLONG: __pyx_v_f = __pyx_k__Q; break; /* "numpy.pxd":268 * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" */ case NPY_FLOAT: __pyx_v_f = __pyx_k__f; break; /* "numpy.pxd":269 * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" */ case NPY_DOUBLE: __pyx_v_f = __pyx_k__d; break; /* "numpy.pxd":270 * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" */ case NPY_LONGDOUBLE: __pyx_v_f = __pyx_k__g; break; /* "numpy.pxd":271 * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" */ case NPY_CFLOAT: __pyx_v_f = __pyx_k__Zf; break; /* "numpy.pxd":272 * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" */ case NPY_CDOUBLE: __pyx_v_f = __pyx_k__Zd; break; /* "numpy.pxd":273 * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< * elif t == NPY_OBJECT: f = "O" * else: */ case NPY_CLONGDOUBLE: __pyx_v_f = __pyx_k__Zg; break; /* "numpy.pxd":274 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) */ case NPY_OBJECT: __pyx_v_f = __pyx_k__O; break; default: /* "numpy.pxd":276 * elif t == NPY_OBJECT: f = "O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< * info.format = f * return */ __pyx_t_4 = PyInt_FromLong(__pyx_v_t); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_8 = PyNumber_Remainder(((PyObject *)__pyx_kp_u_15), __pyx_t_4); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_8)); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_8)); __Pyx_GIVEREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __pyx_t_8 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_Raise(__pyx_t_8, 0, 0, 0); __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} break; } /* "numpy.pxd":277 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f # <<<<<<<<<<<<<< * return * else: */ __pyx_v_info->format = __pyx_v_f; /* "numpy.pxd":278 * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f * return # <<<<<<<<<<<<<< * else: * info.format = stdlib.malloc(_buffer_format_string_len) */ __pyx_r = 0; goto __pyx_L0; goto __pyx_L11; } /*else*/ { /* "numpy.pxd":280 * return * else: * info.format = stdlib.malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 */ __pyx_v_info->format = ((char *)malloc(255)); /* "numpy.pxd":281 * else: * info.format = stdlib.malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< * offset = 0 * f = _util_dtypestring(descr, info.format + 1, */ (__pyx_v_info->format[0]) = '^'; /* "numpy.pxd":282 * info.format = stdlib.malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 # <<<<<<<<<<<<<< * f = _util_dtypestring(descr, info.format + 1, * info.format + _buffer_format_string_len, */ __pyx_v_offset = 0; /* "numpy.pxd":285 * f = _util_dtypestring(descr, info.format + 1, * info.format + _buffer_format_string_len, * &offset) # <<<<<<<<<<<<<< * f[0] = c'\0' # Terminate format string * */ __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 255), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == NULL)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 283; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_f = __pyx_t_9; /* "numpy.pxd":286 * info.format + _buffer_format_string_len, * &offset) * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< * * def __releasebuffer__(ndarray self, Py_buffer* info): */ (__pyx_v_f[0]) = '\x00'; } __pyx_L11:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_8); __Pyx_AddTraceback("numpy.ndarray.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; if (__pyx_v_info != NULL && __pyx_v_info->obj != NULL) { __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = NULL; } goto __pyx_L2; __pyx_L0:; if (__pyx_v_info != NULL && __pyx_v_info->obj == Py_None) { __Pyx_GOTREF(Py_None); __Pyx_DECREF(Py_None); __pyx_v_info->obj = NULL; } __pyx_L2:; __Pyx_XDECREF((PyObject *)__pyx_v_descr); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info); /*proto*/ static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__releasebuffer__ (wrapper)", 0); __pyx_pf_5numpy_7ndarray_2__releasebuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info)); __Pyx_RefNannyFinishContext(); } /* "numpy.pxd":288 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< * if PyArray_HASFIELDS(self): * stdlib.free(info.format) */ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info) { __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("__releasebuffer__", 0); /* "numpy.pxd":289 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< * stdlib.free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): */ __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); if (__pyx_t_1) { /* "numpy.pxd":290 * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): * stdlib.free(info.format) # <<<<<<<<<<<<<< * if sizeof(npy_intp) != sizeof(Py_ssize_t): * stdlib.free(info.strides) */ free(__pyx_v_info->format); goto __pyx_L3; } __pyx_L3:; /* "numpy.pxd":291 * if PyArray_HASFIELDS(self): * stdlib.free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< * stdlib.free(info.strides) * # info.shape was stored after info.strides in the same block */ __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { /* "numpy.pxd":292 * stdlib.free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): * stdlib.free(info.strides) # <<<<<<<<<<<<<< * # info.shape was stored after info.strides in the same block * */ free(__pyx_v_info->strides); goto __pyx_L4; } __pyx_L4:; __Pyx_RefNannyFinishContext(); } /* "numpy.pxd":768 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(1, a) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__pyx_v_a) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0); /* "numpy.pxd":769 * * cdef inline object PyArray_MultiIterNew1(a): * return PyArray_MultiIterNew(1, a) # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew2(a, b): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(1, ((void *)__pyx_v_a)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 769; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew1", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":771 * return PyArray_MultiIterNew(1, a) * * cdef inline object PyArray_MultiIterNew2(a, b): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(2, a, b) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__pyx_v_a, PyObject *__pyx_v_b) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew2", 0); /* "numpy.pxd":772 * * cdef inline object PyArray_MultiIterNew2(a, b): * return PyArray_MultiIterNew(2, a, b) # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew3(a, b, c): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(2, ((void *)__pyx_v_a), ((void *)__pyx_v_b)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 772; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew2", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":774 * return PyArray_MultiIterNew(2, a, b) * * cdef inline object PyArray_MultiIterNew3(a, b, c): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(3, a, b, c) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0); /* "numpy.pxd":775 * * cdef inline object PyArray_MultiIterNew3(a, b, c): * return PyArray_MultiIterNew(3, a, b, c) # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(3, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 775; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew3", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":777 * return PyArray_MultiIterNew(3, a, b, c) * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(4, a, b, c, d) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0); /* "numpy.pxd":778 * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): * return PyArray_MultiIterNew(4, a, b, c, d) # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(4, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 778; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew4", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":780 * return PyArray_MultiIterNew(4, a, b, c, d) * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(5, a, b, c, d, e) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d, PyObject *__pyx_v_e) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0); /* "numpy.pxd":781 * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): * return PyArray_MultiIterNew(5, a, b, c, d, e) # <<<<<<<<<<<<<< * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(5, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d), ((void *)__pyx_v_e)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 781; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew5", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":783 * return PyArray_MultiIterNew(5, a, b, c, d, e) * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< * # Recursive utility function used in __getbuffer__ to get format * # string. The new location in the format string is returned. */ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx_v_descr, char *__pyx_v_f, char *__pyx_v_end, int *__pyx_v_offset) { PyArray_Descr *__pyx_v_child = 0; int __pyx_v_endian_detector; int __pyx_v_little_endian; PyObject *__pyx_v_fields = 0; PyObject *__pyx_v_childname = NULL; PyObject *__pyx_v_new_offset = NULL; PyObject *__pyx_v_t = NULL; char *__pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; Py_ssize_t __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *(*__pyx_t_6)(PyObject *); int __pyx_t_7; int __pyx_t_8; int __pyx_t_9; int __pyx_t_10; long __pyx_t_11; char *__pyx_t_12; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("_util_dtypestring", 0); /* "numpy.pxd":790 * cdef int delta_offset * cdef tuple i * cdef int endian_detector = 1 # <<<<<<<<<<<<<< * cdef bint little_endian = ((&endian_detector)[0] != 0) * cdef tuple fields */ __pyx_v_endian_detector = 1; /* "numpy.pxd":791 * cdef tuple i * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< * cdef tuple fields * */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); /* "numpy.pxd":794 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< * fields = descr.fields[childname] * child, new_offset = fields */ if (unlikely(((PyObject *)__pyx_v_descr->names) == Py_None)) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_1 = ((PyObject *)__pyx_v_descr->names); __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0; for (;;) { if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_3); __pyx_t_2++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif __Pyx_XDECREF(__pyx_v_childname); __pyx_v_childname = __pyx_t_3; __pyx_t_3 = 0; /* "numpy.pxd":795 * * for childname in descr.names: * fields = descr.fields[childname] # <<<<<<<<<<<<<< * child, new_offset = fields * */ __pyx_t_3 = PyObject_GetItem(__pyx_v_descr->fields, __pyx_v_childname); if (!__pyx_t_3) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 795; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (!(likely(PyTuple_CheckExact(__pyx_t_3))||((__pyx_t_3) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected tuple, got %.200s", Py_TYPE(__pyx_t_3)->tp_name), 0))) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 795; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_XDECREF(((PyObject *)__pyx_v_fields)); __pyx_v_fields = ((PyObject*)__pyx_t_3); __pyx_t_3 = 0; /* "numpy.pxd":796 * for childname in descr.names: * fields = descr.fields[childname] * child, new_offset = fields # <<<<<<<<<<<<<< * * if (end - f) - (new_offset - offset[0]) < 15: */ if (likely(PyTuple_CheckExact(((PyObject *)__pyx_v_fields)))) { PyObject* sequence = ((PyObject *)__pyx_v_fields); #if CYTHON_COMPILING_IN_CPYTHON Py_ssize_t size = Py_SIZE(sequence); #else Py_ssize_t size = PySequence_Size(sequence); #endif if (unlikely(size != 2)) { if (size > 2) __Pyx_RaiseTooManyValuesError(2); else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); __pyx_t_4 = PyTuple_GET_ITEM(sequence, 1); __Pyx_INCREF(__pyx_t_3); __Pyx_INCREF(__pyx_t_4); #else __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); #endif } else if (1) { __Pyx_RaiseNoneNotIterableError(); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else { Py_ssize_t index = -1; __pyx_t_5 = PyObject_GetIter(((PyObject *)__pyx_v_fields)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_6 = Py_TYPE(__pyx_t_5)->tp_iternext; index = 0; __pyx_t_3 = __pyx_t_6(__pyx_t_5); if (unlikely(!__pyx_t_3)) goto __pyx_L5_unpacking_failed; __Pyx_GOTREF(__pyx_t_3); index = 1; __pyx_t_4 = __pyx_t_6(__pyx_t_5); if (unlikely(!__pyx_t_4)) goto __pyx_L5_unpacking_failed; __Pyx_GOTREF(__pyx_t_4); if (__Pyx_IternextUnpackEndCheck(__pyx_t_6(__pyx_t_5), 2) < 0) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = NULL; __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; goto __pyx_L6_unpacking_done; __pyx_L5_unpacking_failed:; __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_6 = NULL; if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_L6_unpacking_done:; } if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_dtype))))) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_XDECREF(((PyObject *)__pyx_v_child)); __pyx_v_child = ((PyArray_Descr *)__pyx_t_3); __pyx_t_3 = 0; __Pyx_XDECREF(__pyx_v_new_offset); __pyx_v_new_offset = __pyx_t_4; __pyx_t_4 = 0; /* "numpy.pxd":798 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * */ __pyx_t_4 = PyInt_FromLong((__pyx_v_end - __pyx_v_f)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_3 = PyInt_FromLong((__pyx_v_offset[0])); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyNumber_Subtract(__pyx_v_new_offset, __pyx_t_3); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyNumber_Subtract(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_5 = PyObject_RichCompare(__pyx_t_3, __pyx_int_15, Py_LT); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { /* "numpy.pxd":799 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< * * if ((child.byteorder == c'>' and little_endian) or */ __pyx_t_5 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_17), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_Raise(__pyx_t_5, 0, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; /* "numpy.pxd":801 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") */ __pyx_t_7 = ((__pyx_v_child->byteorder == '>') != 0); if (__pyx_t_7) { __pyx_t_8 = (__pyx_v_little_endian != 0); } else { __pyx_t_8 = __pyx_t_7; } if (!__pyx_t_8) { /* "numpy.pxd":802 * * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< * raise ValueError(u"Non-native byte order not supported") * # One could encode it in the format string and have Cython */ __pyx_t_7 = ((__pyx_v_child->byteorder == '<') != 0); if (__pyx_t_7) { __pyx_t_9 = ((!(__pyx_v_little_endian != 0)) != 0); __pyx_t_10 = __pyx_t_9; } else { __pyx_t_10 = __pyx_t_7; } __pyx_t_7 = __pyx_t_10; } else { __pyx_t_7 = __pyx_t_8; } if (__pyx_t_7) { /* "numpy.pxd":803 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< * # One could encode it in the format string and have Cython * # complain instead, BUT: < and > in format strings also imply */ __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_18), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 803; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_Raise(__pyx_t_5, 0, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 803; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; /* "numpy.pxd":813 * * # Output padding bytes * while offset[0] < new_offset: # <<<<<<<<<<<<<< * f[0] = 120 # "x"; pad byte * f += 1 */ while (1) { __pyx_t_5 = PyInt_FromLong((__pyx_v_offset[0])); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 813; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_t_5, __pyx_v_new_offset, Py_LT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 813; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 813; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (!__pyx_t_7) break; /* "numpy.pxd":814 * # Output padding bytes * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< * f += 1 * offset[0] += 1 */ (__pyx_v_f[0]) = 120; /* "numpy.pxd":815 * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte * f += 1 # <<<<<<<<<<<<<< * offset[0] += 1 * */ __pyx_v_f = (__pyx_v_f + 1); /* "numpy.pxd":816 * f[0] = 120 # "x"; pad byte * f += 1 * offset[0] += 1 # <<<<<<<<<<<<<< * * offset[0] += child.itemsize */ __pyx_t_11 = 0; (__pyx_v_offset[__pyx_t_11]) = ((__pyx_v_offset[__pyx_t_11]) + 1); } /* "numpy.pxd":818 * offset[0] += 1 * * offset[0] += child.itemsize # <<<<<<<<<<<<<< * * if not PyDataType_HASFIELDS(child): */ __pyx_t_11 = 0; (__pyx_v_offset[__pyx_t_11]) = ((__pyx_v_offset[__pyx_t_11]) + __pyx_v_child->elsize); /* "numpy.pxd":820 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< * t = child.type_num * if end - f < 5: */ __pyx_t_7 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); if (__pyx_t_7) { /* "numpy.pxd":821 * * if not PyDataType_HASFIELDS(child): * t = child.type_num # <<<<<<<<<<<<<< * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") */ __pyx_t_3 = PyInt_FromLong(__pyx_v_child->type_num); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 821; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_XDECREF(__pyx_v_t); __pyx_v_t = __pyx_t_3; __pyx_t_3 = 0; /* "numpy.pxd":822 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< * raise RuntimeError(u"Format string allocated too short.") * */ __pyx_t_7 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); if (__pyx_t_7) { /* "numpy.pxd":823 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< * * # Until ticket #99 is fixed, use integers to avoid warnings */ __pyx_t_3 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_20), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L12; } __pyx_L12:; /* "numpy.pxd":826 * * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" */ __pyx_t_3 = PyInt_FromLong(NPY_BYTE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 98; goto __pyx_L13; } /* "numpy.pxd":827 * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" */ __pyx_t_5 = PyInt_FromLong(NPY_UBYTE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 66; goto __pyx_L13; } /* "numpy.pxd":828 * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" */ __pyx_t_3 = PyInt_FromLong(NPY_SHORT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 104; goto __pyx_L13; } /* "numpy.pxd":829 * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" */ __pyx_t_5 = PyInt_FromLong(NPY_USHORT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 72; goto __pyx_L13; } /* "numpy.pxd":830 * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" */ __pyx_t_3 = PyInt_FromLong(NPY_INT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 105; goto __pyx_L13; } /* "numpy.pxd":831 * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" */ __pyx_t_5 = PyInt_FromLong(NPY_UINT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 73; goto __pyx_L13; } /* "numpy.pxd":832 * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" */ __pyx_t_3 = PyInt_FromLong(NPY_LONG); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 108; goto __pyx_L13; } /* "numpy.pxd":833 * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" */ __pyx_t_5 = PyInt_FromLong(NPY_ULONG); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 76; goto __pyx_L13; } /* "numpy.pxd":834 * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" */ __pyx_t_3 = PyInt_FromLong(NPY_LONGLONG); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 113; goto __pyx_L13; } /* "numpy.pxd":835 * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" */ __pyx_t_5 = PyInt_FromLong(NPY_ULONGLONG); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 81; goto __pyx_L13; } /* "numpy.pxd":836 * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" */ __pyx_t_3 = PyInt_FromLong(NPY_FLOAT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 102; goto __pyx_L13; } /* "numpy.pxd":837 * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf */ __pyx_t_5 = PyInt_FromLong(NPY_DOUBLE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 100; goto __pyx_L13; } /* "numpy.pxd":838 * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd */ __pyx_t_3 = PyInt_FromLong(NPY_LONGDOUBLE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 103; goto __pyx_L13; } /* "numpy.pxd":839 * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg */ __pyx_t_5 = PyInt_FromLong(NPY_CFLOAT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 90; (__pyx_v_f[1]) = 102; __pyx_v_f = (__pyx_v_f + 1); goto __pyx_L13; } /* "numpy.pxd":840 * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" */ __pyx_t_3 = PyInt_FromLong(NPY_CDOUBLE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 90; (__pyx_v_f[1]) = 100; __pyx_v_f = (__pyx_v_f + 1); goto __pyx_L13; } /* "numpy.pxd":841 * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: */ __pyx_t_5 = PyInt_FromLong(NPY_CLONGDOUBLE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 841; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 841; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 841; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 90; (__pyx_v_f[1]) = 103; __pyx_v_f = (__pyx_v_f + 1); goto __pyx_L13; } /* "numpy.pxd":842 * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) */ __pyx_t_3 = PyInt_FromLong(NPY_OBJECT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 842; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 842; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 842; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 79; goto __pyx_L13; } /*else*/ { /* "numpy.pxd":844 * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< * f += 1 * else: */ __pyx_t_5 = PyNumber_Remainder(((PyObject *)__pyx_kp_u_15), __pyx_v_t); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_t_5)); __Pyx_GIVEREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_5, 0, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L13:; /* "numpy.pxd":845 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * f += 1 # <<<<<<<<<<<<<< * else: * # Cython ignores struct boundary information ("T{...}"), */ __pyx_v_f = (__pyx_v_f + 1); goto __pyx_L11; } /*else*/ { /* "numpy.pxd":849 * # Cython ignores struct boundary information ("T{...}"), * # so don't output it * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< * return f * */ __pyx_t_12 = __pyx_f_5numpy__util_dtypestring(__pyx_v_child, __pyx_v_f, __pyx_v_end, __pyx_v_offset); if (unlikely(__pyx_t_12 == NULL)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 849; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_f = __pyx_t_12; } __pyx_L11:; } __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "numpy.pxd":850 * # so don't output it * f = _util_dtypestring(child, f, end, offset) * return f # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_f; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("numpy._util_dtypestring", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_child); __Pyx_XDECREF(__pyx_v_fields); __Pyx_XDECREF(__pyx_v_childname); __Pyx_XDECREF(__pyx_v_new_offset); __Pyx_XDECREF(__pyx_v_t); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":965 * * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< * cdef PyObject* baseptr * if base is None: */ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_arr, PyObject *__pyx_v_base) { PyObject *__pyx_v_baseptr; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; __Pyx_RefNannySetupContext("set_array_base", 0); /* "numpy.pxd":967 * cdef inline void set_array_base(ndarray arr, object base): * cdef PyObject* baseptr * if base is None: # <<<<<<<<<<<<<< * baseptr = NULL * else: */ __pyx_t_1 = (__pyx_v_base == Py_None); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "numpy.pxd":968 * cdef PyObject* baseptr * if base is None: * baseptr = NULL # <<<<<<<<<<<<<< * else: * Py_INCREF(base) # important to do this before decref below! */ __pyx_v_baseptr = NULL; goto __pyx_L3; } /*else*/ { /* "numpy.pxd":970 * baseptr = NULL * else: * Py_INCREF(base) # important to do this before decref below! # <<<<<<<<<<<<<< * baseptr = base * Py_XDECREF(arr.base) */ Py_INCREF(__pyx_v_base); /* "numpy.pxd":971 * else: * Py_INCREF(base) # important to do this before decref below! * baseptr = base # <<<<<<<<<<<<<< * Py_XDECREF(arr.base) * arr.base = baseptr */ __pyx_v_baseptr = ((PyObject *)__pyx_v_base); } __pyx_L3:; /* "numpy.pxd":972 * Py_INCREF(base) # important to do this before decref below! * baseptr = base * Py_XDECREF(arr.base) # <<<<<<<<<<<<<< * arr.base = baseptr * */ Py_XDECREF(__pyx_v_arr->base); /* "numpy.pxd":973 * baseptr = base * Py_XDECREF(arr.base) * arr.base = baseptr # <<<<<<<<<<<<<< * * cdef inline object get_array_base(ndarray arr): */ __pyx_v_arr->base = __pyx_v_baseptr; __Pyx_RefNannyFinishContext(); } /* "numpy.pxd":975 * arr.base = baseptr * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< * if arr.base is NULL: * return None */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__pyx_v_arr) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("get_array_base", 0); /* "numpy.pxd":976 * * cdef inline object get_array_base(ndarray arr): * if arr.base is NULL: # <<<<<<<<<<<<<< * return None * else: */ __pyx_t_1 = ((__pyx_v_arr->base == NULL) != 0); if (__pyx_t_1) { /* "numpy.pxd":977 * cdef inline object get_array_base(ndarray arr): * if arr.base is NULL: * return None # <<<<<<<<<<<<<< * else: * return arr.base */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(Py_None); __pyx_r = Py_None; goto __pyx_L0; goto __pyx_L3; } /*else*/ { /* "numpy.pxd":979 * return None * else: * return arr.base # <<<<<<<<<<<<<< */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_arr->base)); __pyx_r = ((PyObject *)__pyx_v_arr->base); goto __pyx_L0; } __pyx_L3:; __pyx_r = Py_None; __Pyx_INCREF(Py_None); __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_shape = 0; Py_ssize_t __pyx_v_itemsize; PyObject *__pyx_v_format = 0; PyObject *__pyx_v_mode = 0; int __pyx_v_allocate_buffer; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__cinit__ (wrapper)", 0); { static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__shape,&__pyx_n_s__itemsize,&__pyx_n_s__format,&__pyx_n_s__mode,&__pyx_n_s__allocate_buffer,0}; PyObject* values[5] = {0,0,0,0,0}; values[3] = ((PyObject *)__pyx_n_u__c); if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = PyDict_Size(__pyx_kwds); switch (pos_args) { case 0: if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__shape)) != 0)) kw_args--; else goto __pyx_L5_argtuple_error; case 1: if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__itemsize)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, 1); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 2: if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__format)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, 2); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 3: if (kw_args > 0) { PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__mode); if (value) { values[3] = value; kw_args--; } } case 4: if (kw_args > 0) { PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__allocate_buffer); if (value) { values[4] = value; kw_args--; } } } if (unlikely(kw_args > 0)) { if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } else { switch (PyTuple_GET_SIZE(__pyx_args)) { case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); values[1] = PyTuple_GET_ITEM(__pyx_args, 1); values[0] = PyTuple_GET_ITEM(__pyx_args, 0); break; default: goto __pyx_L5_argtuple_error; } } __pyx_v_shape = ((PyObject*)values[0]); __pyx_v_itemsize = __Pyx_PyIndex_AsSsize_t(values[1]); if (unlikely((__pyx_v_itemsize == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_v_format = values[2]; __pyx_v_mode = values[3]; if (values[4]) { __pyx_v_allocate_buffer = __Pyx_PyObject_IsTrue(values[4]); if (unlikely((__pyx_v_allocate_buffer == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 114; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } else { /* "View.MemoryView":114 * * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, * mode=u"c", bint allocate_buffer=True): # <<<<<<<<<<<<<< * * cdef int idx */ __pyx_v_allocate_buffer = ((int)1); } } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("View.MemoryView.array.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return -1; __pyx_L4_argument_unpacking_done:; if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_shape), (&PyTuple_Type), 1, "shape", 1))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (unlikely(((PyObject *)__pyx_v_format) == Py_None)) { PyErr_Format(PyExc_TypeError, "Argument 'format' must not be None"); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_r = __pyx_array_MemoryView_5array___cinit__(((struct __pyx_array_obj *)__pyx_v_self), __pyx_v_shape, __pyx_v_itemsize, __pyx_v_format, __pyx_v_mode, __pyx_v_allocate_buffer); goto __pyx_L0; __pyx_L1_error:; __pyx_r = -1; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":113 * cdef bint dtype_is_object * * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< * mode=u"c", bint allocate_buffer=True): * */ static int __pyx_array_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer) { int __pyx_v_idx; Py_ssize_t __pyx_v_i; PyObject **__pyx_v_p; PyObject *__pyx_v_encode = NULL; PyObject *__pyx_v_dim = NULL; char __pyx_v_order; PyObject *__pyx_v_decode = NULL; int __pyx_r; __Pyx_RefNannyDeclarations Py_ssize_t __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; char *__pyx_t_4; int __pyx_t_5; int __pyx_t_6; int __pyx_t_7; PyObject *__pyx_t_8 = NULL; PyObject *__pyx_t_9 = NULL; Py_ssize_t __pyx_t_10; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__cinit__", 0); __Pyx_INCREF(__pyx_v_format); __Pyx_INCREF(__pyx_v_mode); /* "View.MemoryView":120 * cdef PyObject **p * * self.ndim = len(shape) # <<<<<<<<<<<<<< * self.itemsize = itemsize * */ if (unlikely(((PyObject *)__pyx_v_shape) == Py_None)) { PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 120; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_1 = PyTuple_GET_SIZE(((PyObject *)__pyx_v_shape)); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 120; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_self->ndim = __pyx_t_1; /* "View.MemoryView":121 * * self.ndim = len(shape) * self.itemsize = itemsize # <<<<<<<<<<<<<< * * if not self.ndim: */ __pyx_v_self->itemsize = __pyx_v_itemsize; /* "View.MemoryView":123 * self.itemsize = itemsize * * if not self.ndim: # <<<<<<<<<<<<<< * raise ValueError("Empty shape tuple for cython.array") * */ __pyx_t_2 = ((!(__pyx_v_self->ndim != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":124 * * if not self.ndim: * raise ValueError("Empty shape tuple for cython.array") # <<<<<<<<<<<<<< * * if self.itemsize <= 0: */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_22), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":126 * raise ValueError("Empty shape tuple for cython.array") * * if self.itemsize <= 0: # <<<<<<<<<<<<<< * raise ValueError("itemsize <= 0 for cython.array") * */ __pyx_t_2 = ((__pyx_v_self->itemsize <= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":127 * * if self.itemsize <= 0: * raise ValueError("itemsize <= 0 for cython.array") # <<<<<<<<<<<<<< * * encode = getattr(format, 'encode', None) */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_24), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 127; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 127; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":129 * raise ValueError("itemsize <= 0 for cython.array") * * encode = getattr(format, 'encode', None) # <<<<<<<<<<<<<< * if encode: * format = encode('ASCII') */ __pyx_t_3 = __Pyx_GetAttr3(__pyx_v_format, ((PyObject *)__pyx_n_s__encode), Py_None); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 129; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_encode = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":130 * * encode = getattr(format, 'encode', None) * if encode: # <<<<<<<<<<<<<< * format = encode('ASCII') * self._format = format */ __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_encode); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_2) { /* "View.MemoryView":131 * encode = getattr(format, 'encode', None) * if encode: * format = encode('ASCII') # <<<<<<<<<<<<<< * self._format = format * self.format = self._format */ __pyx_t_3 = PyObject_Call(__pyx_v_encode, ((PyObject *)__pyx_k_tuple_25), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 131; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_v_format); __pyx_v_format = __pyx_t_3; __pyx_t_3 = 0; goto __pyx_L5; } __pyx_L5:; /* "View.MemoryView":132 * if encode: * format = encode('ASCII') * self._format = format # <<<<<<<<<<<<<< * self.format = self._format * */ if (!(likely(PyBytes_CheckExact(__pyx_v_format))||((__pyx_v_format) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected bytes, got %.200s", Py_TYPE(__pyx_v_format)->tp_name), 0))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 132; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_INCREF(__pyx_v_format); __Pyx_GIVEREF(__pyx_v_format); __Pyx_GOTREF(__pyx_v_self->_format); __Pyx_DECREF(((PyObject *)__pyx_v_self->_format)); __pyx_v_self->_format = ((PyObject*)__pyx_v_format); /* "View.MemoryView":133 * format = encode('ASCII') * self._format = format * self.format = self._format # <<<<<<<<<<<<<< * * self._shape = malloc(sizeof(Py_ssize_t)*self.ndim) */ __pyx_t_4 = __Pyx_PyObject_AsString(((PyObject *)__pyx_v_self->_format)); if (unlikely((!__pyx_t_4) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_self->format = __pyx_t_4; /* "View.MemoryView":135 * self.format = self._format * * self._shape = malloc(sizeof(Py_ssize_t)*self.ndim) # <<<<<<<<<<<<<< * self._strides = malloc(sizeof(Py_ssize_t)*self.ndim) * */ __pyx_v_self->_shape = ((Py_ssize_t *)malloc(((sizeof(Py_ssize_t)) * __pyx_v_self->ndim))); /* "View.MemoryView":136 * * self._shape = malloc(sizeof(Py_ssize_t)*self.ndim) * self._strides = malloc(sizeof(Py_ssize_t)*self.ndim) # <<<<<<<<<<<<<< * * if not self._shape or not self._strides: */ __pyx_v_self->_strides = ((Py_ssize_t *)malloc(((sizeof(Py_ssize_t)) * __pyx_v_self->ndim))); /* "View.MemoryView":138 * self._strides = malloc(sizeof(Py_ssize_t)*self.ndim) * * if not self._shape or not self._strides: # <<<<<<<<<<<<<< * free(self._shape) * free(self._strides) */ __pyx_t_2 = ((!(__pyx_v_self->_shape != 0)) != 0); if (!__pyx_t_2) { __pyx_t_5 = ((!(__pyx_v_self->_strides != 0)) != 0); __pyx_t_6 = __pyx_t_5; } else { __pyx_t_6 = __pyx_t_2; } if (__pyx_t_6) { /* "View.MemoryView":139 * * if not self._shape or not self._strides: * free(self._shape) # <<<<<<<<<<<<<< * free(self._strides) * raise MemoryError("unable to allocate shape or strides.") */ free(__pyx_v_self->_shape); /* "View.MemoryView":140 * if not self._shape or not self._strides: * free(self._shape) * free(self._strides) # <<<<<<<<<<<<<< * raise MemoryError("unable to allocate shape or strides.") * */ free(__pyx_v_self->_strides); /* "View.MemoryView":141 * free(self._shape) * free(self._strides) * raise MemoryError("unable to allocate shape or strides.") # <<<<<<<<<<<<<< * * */ __pyx_t_3 = PyObject_Call(__pyx_builtin_MemoryError, ((PyObject *)__pyx_k_tuple_27), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 141; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 141; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; /* "View.MemoryView":144 * * * idx = 0 # <<<<<<<<<<<<<< * for idx, dim in enumerate(shape): * if dim <= 0: */ __pyx_v_idx = 0; /* "View.MemoryView":145 * * idx = 0 * for idx, dim in enumerate(shape): # <<<<<<<<<<<<<< * if dim <= 0: * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) */ __pyx_t_7 = 0; __pyx_t_3 = ((PyObject *)__pyx_v_shape); __Pyx_INCREF(__pyx_t_3); __pyx_t_1 = 0; for (;;) { if (__pyx_t_1 >= PyTuple_GET_SIZE(__pyx_t_3)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_8 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_1); __Pyx_INCREF(__pyx_t_8); __pyx_t_1++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 145; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_8 = PySequence_ITEM(__pyx_t_3, __pyx_t_1); __pyx_t_1++; if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 145; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif __Pyx_XDECREF(__pyx_v_dim); __pyx_v_dim = __pyx_t_8; __pyx_t_8 = 0; __pyx_v_idx = __pyx_t_7; __pyx_t_7 = (__pyx_t_7 + 1); /* "View.MemoryView":146 * idx = 0 * for idx, dim in enumerate(shape): * if dim <= 0: # <<<<<<<<<<<<<< * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) * */ __pyx_t_8 = PyObject_RichCompare(__pyx_v_dim, __pyx_int_0, Py_LE); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 146; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 146; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; if (__pyx_t_6) { /* "View.MemoryView":147 * for idx, dim in enumerate(shape): * if dim <= 0: * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) # <<<<<<<<<<<<<< * * self._shape[idx] = dim */ __pyx_t_8 = PyInt_FromLong(__pyx_v_idx); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __pyx_t_9 = PyTuple_New(2); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_8); __Pyx_GIVEREF(__pyx_t_8); __Pyx_INCREF(__pyx_v_dim); PyTuple_SET_ITEM(__pyx_t_9, 1, __pyx_v_dim); __Pyx_GIVEREF(__pyx_v_dim); __pyx_t_8 = 0; __pyx_t_8 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_28), ((PyObject *)__pyx_t_9)); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_8)); __Pyx_DECREF(((PyObject *)__pyx_t_9)); __pyx_t_9 = 0; __pyx_t_9 = PyTuple_New(1); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_9, 0, ((PyObject *)__pyx_t_8)); __Pyx_GIVEREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __pyx_t_8 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_9), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __Pyx_DECREF(((PyObject *)__pyx_t_9)); __pyx_t_9 = 0; __Pyx_Raise(__pyx_t_8, 0, 0, 0); __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L9; } __pyx_L9:; /* "View.MemoryView":149 * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) * * self._shape[idx] = dim # <<<<<<<<<<<<<< * idx += 1 * */ __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_v_dim); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;} (__pyx_v_self->_shape[__pyx_v_idx]) = __pyx_t_10; /* "View.MemoryView":150 * * self._shape[idx] = dim * idx += 1 # <<<<<<<<<<<<<< * * if mode not in ("fortran", "c"): */ __pyx_v_idx = (__pyx_v_idx + 1); } __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":152 * idx += 1 * * if mode not in ("fortran", "c"): # <<<<<<<<<<<<<< * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) * */ __Pyx_INCREF(__pyx_v_mode); __pyx_t_3 = __pyx_v_mode; __pyx_t_8 = PyObject_RichCompare(__pyx_t_3, ((PyObject *)__pyx_n_s__fortran), Py_NE); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely((__pyx_t_6 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; if (((int)__pyx_t_6)) { __pyx_t_8 = PyObject_RichCompare(__pyx_t_3, ((PyObject *)__pyx_n_s__c), Py_NE); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; __pyx_t_5 = ((int)__pyx_t_2); } else { __pyx_t_5 = ((int)__pyx_t_6); } __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_6 = (__pyx_t_5 != 0); if (__pyx_t_6) { /* "View.MemoryView":153 * * if mode not in ("fortran", "c"): * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) # <<<<<<<<<<<<<< * * cdef char order */ __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_29), __pyx_v_mode); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __pyx_t_8 = PyTuple_New(1); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_8, 0, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_8), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L10; } __pyx_L10:; /* "View.MemoryView":156 * * cdef char order * if mode == 'fortran': # <<<<<<<<<<<<<< * order = 'F' * else: */ __pyx_t_3 = PyObject_RichCompare(__pyx_v_mode, ((PyObject *)__pyx_n_s__fortran), Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 156; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 156; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_6) { /* "View.MemoryView":157 * cdef char order * if mode == 'fortran': * order = 'F' # <<<<<<<<<<<<<< * else: * order = 'C' */ __pyx_v_order = 'F'; goto __pyx_L11; } /*else*/ { /* "View.MemoryView":159 * order = 'F' * else: * order = 'C' # <<<<<<<<<<<<<< * * self.len = fill_contig_strides_array(self._shape, self._strides, */ __pyx_v_order = 'C'; } __pyx_L11:; /* "View.MemoryView":161 * order = 'C' * * self.len = fill_contig_strides_array(self._shape, self._strides, # <<<<<<<<<<<<<< * itemsize, self.ndim, order) * */ __pyx_v_self->len = __pyx_fill_contig_strides_array(__pyx_v_self->_shape, __pyx_v_self->_strides, __pyx_v_itemsize, __pyx_v_self->ndim, __pyx_v_order); /* "View.MemoryView":164 * itemsize, self.ndim, order) * * decode = getattr(mode, 'decode', None) # <<<<<<<<<<<<<< * if decode: * mode = decode('ASCII') */ __pyx_t_3 = __Pyx_GetAttr3(__pyx_v_mode, ((PyObject *)__pyx_n_s__decode), Py_None); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_decode = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":165 * * decode = getattr(mode, 'decode', None) * if decode: # <<<<<<<<<<<<<< * mode = decode('ASCII') * self.mode = mode */ __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_v_decode); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_6) { /* "View.MemoryView":166 * decode = getattr(mode, 'decode', None) * if decode: * mode = decode('ASCII') # <<<<<<<<<<<<<< * self.mode = mode * */ __pyx_t_3 = PyObject_Call(__pyx_v_decode, ((PyObject *)__pyx_k_tuple_30), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 166; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_v_mode); __pyx_v_mode = __pyx_t_3; __pyx_t_3 = 0; goto __pyx_L12; } __pyx_L12:; /* "View.MemoryView":167 * if decode: * mode = decode('ASCII') * self.mode = mode # <<<<<<<<<<<<<< * * self.free_data = allocate_buffer */ if (!(likely(PyUnicode_CheckExact(__pyx_v_mode))||((__pyx_v_mode) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected unicode, got %.200s", Py_TYPE(__pyx_v_mode)->tp_name), 0))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 167; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_INCREF(__pyx_v_mode); __Pyx_GIVEREF(__pyx_v_mode); __Pyx_GOTREF(__pyx_v_self->mode); __Pyx_DECREF(((PyObject *)__pyx_v_self->mode)); __pyx_v_self->mode = ((PyObject*)__pyx_v_mode); /* "View.MemoryView":169 * self.mode = mode * * self.free_data = allocate_buffer # <<<<<<<<<<<<<< * self.dtype_is_object = format == b'O' * if allocate_buffer: */ __pyx_v_self->free_data = __pyx_v_allocate_buffer; /* "View.MemoryView":170 * * self.free_data = allocate_buffer * self.dtype_is_object = format == b'O' # <<<<<<<<<<<<<< * if allocate_buffer: * self.data = malloc(self.len) */ __pyx_t_3 = PyObject_RichCompare(__pyx_v_format, ((PyObject *)__pyx_n_b__O), Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 170; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_6 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 170; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_self->dtype_is_object = __pyx_t_6; /* "View.MemoryView":171 * self.free_data = allocate_buffer * self.dtype_is_object = format == b'O' * if allocate_buffer: # <<<<<<<<<<<<<< * self.data = malloc(self.len) * if not self.data: */ __pyx_t_6 = (__pyx_v_allocate_buffer != 0); if (__pyx_t_6) { /* "View.MemoryView":172 * self.dtype_is_object = format == b'O' * if allocate_buffer: * self.data = malloc(self.len) # <<<<<<<<<<<<<< * if not self.data: * raise MemoryError("unable to allocate array data.") */ __pyx_v_self->data = ((char *)malloc(__pyx_v_self->len)); /* "View.MemoryView":173 * if allocate_buffer: * self.data = malloc(self.len) * if not self.data: # <<<<<<<<<<<<<< * raise MemoryError("unable to allocate array data.") * */ __pyx_t_6 = ((!(__pyx_v_self->data != 0)) != 0); if (__pyx_t_6) { /* "View.MemoryView":174 * self.data = malloc(self.len) * if not self.data: * raise MemoryError("unable to allocate array data.") # <<<<<<<<<<<<<< * * if self.dtype_is_object: */ __pyx_t_3 = PyObject_Call(__pyx_builtin_MemoryError, ((PyObject *)__pyx_k_tuple_32), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 174; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 174; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L14; } __pyx_L14:; /* "View.MemoryView":176 * raise MemoryError("unable to allocate array data.") * * if self.dtype_is_object: # <<<<<<<<<<<<<< * p = self.data * for i in range(self.len / itemsize): */ __pyx_t_6 = (__pyx_v_self->dtype_is_object != 0); if (__pyx_t_6) { /* "View.MemoryView":177 * * if self.dtype_is_object: * p = self.data # <<<<<<<<<<<<<< * for i in range(self.len / itemsize): * p[i] = Py_None */ __pyx_v_p = ((PyObject **)__pyx_v_self->data); /* "View.MemoryView":178 * if self.dtype_is_object: * p = self.data * for i in range(self.len / itemsize): # <<<<<<<<<<<<<< * p[i] = Py_None * Py_INCREF(Py_None) */ if (unlikely(__pyx_v_itemsize == 0)) { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif PyErr_Format(PyExc_ZeroDivisionError, "integer division or modulo by zero"); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif {__pyx_filename = __pyx_f[2]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else if (sizeof(Py_ssize_t) == sizeof(long) && unlikely(__pyx_v_itemsize == -1) && unlikely(UNARY_NEG_WOULD_OVERFLOW(__pyx_v_self->len))) { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif PyErr_Format(PyExc_OverflowError, "value too large to perform division"); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif {__pyx_filename = __pyx_f[2]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_1 = __Pyx_div_Py_ssize_t(__pyx_v_self->len, __pyx_v_itemsize); for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_1; __pyx_t_10+=1) { __pyx_v_i = __pyx_t_10; /* "View.MemoryView":179 * p = self.data * for i in range(self.len / itemsize): * p[i] = Py_None # <<<<<<<<<<<<<< * Py_INCREF(Py_None) * */ (__pyx_v_p[__pyx_v_i]) = Py_None; /* "View.MemoryView":180 * for i in range(self.len / itemsize): * p[i] = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< * * @cname('getbuffer') */ Py_INCREF(Py_None); } goto __pyx_L15; } __pyx_L15:; goto __pyx_L13; } __pyx_L13:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_8); __Pyx_XDECREF(__pyx_t_9); __Pyx_AddTraceback("View.MemoryView.array.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_XDECREF(__pyx_v_encode); __Pyx_XDECREF(__pyx_v_dim); __Pyx_XDECREF(__pyx_v_decode); __Pyx_XDECREF(__pyx_v_format); __Pyx_XDECREF(__pyx_v_mode); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); __pyx_r = __pyx_array_getbuffer_MemoryView_5array_2__getbuffer__(((struct __pyx_array_obj *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":183 * * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< * cdef int bufmode = -1 * if self.mode == b"c": */ static int __pyx_array_getbuffer_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_v_bufmode; int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; char *__pyx_t_4; Py_ssize_t __pyx_t_5; int __pyx_t_6; Py_ssize_t *__pyx_t_7; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getbuffer__", 0); if (__pyx_v_info != NULL) { __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); } /* "View.MemoryView":184 * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): * cdef int bufmode = -1 # <<<<<<<<<<<<<< * if self.mode == b"c": * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS */ __pyx_v_bufmode = -1; /* "View.MemoryView":185 * def __getbuffer__(self, Py_buffer *info, int flags): * cdef int bufmode = -1 * if self.mode == b"c": # <<<<<<<<<<<<<< * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * elif self.mode == b"fortran": */ __pyx_t_1 = (__Pyx_PyUnicode_Equals(((PyObject *)__pyx_v_self->mode), ((PyObject *)__pyx_n_b__c), Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 185; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":186 * cdef int bufmode = -1 * if self.mode == b"c": * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS # <<<<<<<<<<<<<< * elif self.mode == b"fortran": * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS */ __pyx_v_bufmode = (PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS); goto __pyx_L3; } /* "View.MemoryView":187 * if self.mode == b"c": * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * elif self.mode == b"fortran": # <<<<<<<<<<<<<< * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): */ __pyx_t_2 = (__Pyx_PyUnicode_Equals(((PyObject *)__pyx_v_self->mode), ((PyObject *)__pyx_n_b__fortran), Py_EQ)); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 187; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_1 = (__pyx_t_2 != 0); if (__pyx_t_1) { /* "View.MemoryView":188 * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * elif self.mode == b"fortran": * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS # <<<<<<<<<<<<<< * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") */ __pyx_v_bufmode = (PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":189 * elif self.mode == b"fortran": * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): # <<<<<<<<<<<<<< * raise ValueError("Can only create a buffer that is contiguous in memory.") * info.buf = self.data */ __pyx_t_1 = ((!((__pyx_v_flags & __pyx_v_bufmode) != 0)) != 0); if (__pyx_t_1) { /* "View.MemoryView":190 * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") # <<<<<<<<<<<<<< * info.buf = self.data * info.len = self.len */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_34), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":191 * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") * info.buf = self.data # <<<<<<<<<<<<<< * info.len = self.len * info.ndim = self.ndim */ __pyx_t_4 = __pyx_v_self->data; __pyx_v_info->buf = __pyx_t_4; /* "View.MemoryView":192 * raise ValueError("Can only create a buffer that is contiguous in memory.") * info.buf = self.data * info.len = self.len # <<<<<<<<<<<<<< * info.ndim = self.ndim * info.shape = self._shape */ __pyx_t_5 = __pyx_v_self->len; __pyx_v_info->len = __pyx_t_5; /* "View.MemoryView":193 * info.buf = self.data * info.len = self.len * info.ndim = self.ndim # <<<<<<<<<<<<<< * info.shape = self._shape * info.strides = self._strides */ __pyx_t_6 = __pyx_v_self->ndim; __pyx_v_info->ndim = __pyx_t_6; /* "View.MemoryView":194 * info.len = self.len * info.ndim = self.ndim * info.shape = self._shape # <<<<<<<<<<<<<< * info.strides = self._strides * info.suboffsets = NULL */ __pyx_t_7 = __pyx_v_self->_shape; __pyx_v_info->shape = __pyx_t_7; /* "View.MemoryView":195 * info.ndim = self.ndim * info.shape = self._shape * info.strides = self._strides # <<<<<<<<<<<<<< * info.suboffsets = NULL * info.itemsize = self.itemsize */ __pyx_t_7 = __pyx_v_self->_strides; __pyx_v_info->strides = __pyx_t_7; /* "View.MemoryView":196 * info.shape = self._shape * info.strides = self._strides * info.suboffsets = NULL # <<<<<<<<<<<<<< * info.itemsize = self.itemsize * info.readonly = 0 */ __pyx_v_info->suboffsets = NULL; /* "View.MemoryView":197 * info.strides = self._strides * info.suboffsets = NULL * info.itemsize = self.itemsize # <<<<<<<<<<<<<< * info.readonly = 0 * */ __pyx_t_5 = __pyx_v_self->itemsize; __pyx_v_info->itemsize = __pyx_t_5; /* "View.MemoryView":198 * info.suboffsets = NULL * info.itemsize = self.itemsize * info.readonly = 0 # <<<<<<<<<<<<<< * * if flags & PyBUF_FORMAT: */ __pyx_v_info->readonly = 0; /* "View.MemoryView":200 * info.readonly = 0 * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * info.format = self.format * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); if (__pyx_t_1) { /* "View.MemoryView":201 * * if flags & PyBUF_FORMAT: * info.format = self.format # <<<<<<<<<<<<<< * else: * info.format = NULL */ __pyx_t_4 = __pyx_v_self->format; __pyx_v_info->format = __pyx_t_4; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":203 * info.format = self.format * else: * info.format = NULL # <<<<<<<<<<<<<< * * info.obj = self */ __pyx_v_info->format = NULL; } __pyx_L5:; /* "View.MemoryView":205 * info.format = NULL * * info.obj = self # <<<<<<<<<<<<<< * * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") */ __Pyx_INCREF(((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.array.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; if (__pyx_v_info != NULL && __pyx_v_info->obj != NULL) { __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = NULL; } goto __pyx_L2; __pyx_L0:; if (__pyx_v_info != NULL && __pyx_v_info->obj == Py_None) { __Pyx_GOTREF(Py_None); __Pyx_DECREF(Py_None); __pyx_v_info->obj = NULL; } __pyx_L2:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static void __pyx_array___dealloc__(PyObject *__pyx_v_self); /*proto*/ static void __pyx_array___dealloc__(PyObject *__pyx_v_self) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); __pyx_array_MemoryView_5array_4__dealloc__(((struct __pyx_array_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":209 * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") * * def __dealloc__(array self): # <<<<<<<<<<<<<< * if self.callback_free_data != NULL: * self.callback_free_data(self.data) */ static void __pyx_array_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self) { __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("__dealloc__", 0); /* "View.MemoryView":210 * * def __dealloc__(array self): * if self.callback_free_data != NULL: # <<<<<<<<<<<<<< * self.callback_free_data(self.data) * elif self.free_data: */ __pyx_t_1 = ((__pyx_v_self->callback_free_data != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":211 * def __dealloc__(array self): * if self.callback_free_data != NULL: * self.callback_free_data(self.data) # <<<<<<<<<<<<<< * elif self.free_data: * if self.dtype_is_object: */ __pyx_v_self->callback_free_data(__pyx_v_self->data); goto __pyx_L3; } /* "View.MemoryView":212 * if self.callback_free_data != NULL: * self.callback_free_data(self.data) * elif self.free_data: # <<<<<<<<<<<<<< * if self.dtype_is_object: * refcount_objects_in_slice(self.data, self._shape, */ __pyx_t_1 = (__pyx_v_self->free_data != 0); if (__pyx_t_1) { /* "View.MemoryView":213 * self.callback_free_data(self.data) * elif self.free_data: * if self.dtype_is_object: # <<<<<<<<<<<<<< * refcount_objects_in_slice(self.data, self._shape, * self._strides, self.ndim, False) */ __pyx_t_1 = (__pyx_v_self->dtype_is_object != 0); if (__pyx_t_1) { /* "View.MemoryView":215 * if self.dtype_is_object: * refcount_objects_in_slice(self.data, self._shape, * self._strides, self.ndim, False) # <<<<<<<<<<<<<< * free(self.data) * */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_self->data, __pyx_v_self->_shape, __pyx_v_self->_strides, __pyx_v_self->ndim, 0); goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":216 * refcount_objects_in_slice(self.data, self._shape, * self._strides, self.ndim, False) * free(self.data) # <<<<<<<<<<<<<< * * free(self._strides) */ free(__pyx_v_self->data); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":218 * free(self.data) * * free(self._strides) # <<<<<<<<<<<<<< * free(self._shape) * */ free(__pyx_v_self->_strides); /* "View.MemoryView":219 * * free(self._strides) * free(self._shape) # <<<<<<<<<<<<<< * * property memview: */ free(__pyx_v_self->_shape); __Pyx_RefNannyFinishContext(); } /* Python wrapper */ static PyObject *get_memview(PyObject *__pyx_v_self); /*proto*/ static PyObject *get_memview(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = get_memview_MemoryView_5array_7memview___get__(((struct __pyx_array_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":223 * property memview: * @cname('get_memview') * def __get__(self): # <<<<<<<<<<<<<< * * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE */ static PyObject *get_memview_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self) { int __pyx_v_flags; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":225 * def __get__(self): * * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE # <<<<<<<<<<<<<< * return memoryview(self, flags, self.dtype_is_object) * */ __pyx_v_flags = ((PyBUF_ANY_CONTIGUOUS | PyBUF_FORMAT) | PyBUF_WRITABLE); /* "View.MemoryView":226 * * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE * return memoryview(self, flags, self.dtype_is_object) # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyInt_FromLong(__pyx_v_flags); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_self->dtype_is_object); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(((PyObject *)__pyx_v_self)); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_1 = 0; __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(((PyObject *)((PyObject *)__pyx_memoryview_type)), ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.array.memview.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_array___getattr__(PyObject *__pyx_v_self, PyObject *__pyx_v_attr); /*proto*/ static PyObject *__pyx_array___getattr__(PyObject *__pyx_v_self, PyObject *__pyx_v_attr) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getattr__ (wrapper)", 0); __pyx_r = __pyx_array_MemoryView_5array_6__getattr__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_attr)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":229 * * * def __getattr__(self, attr): # <<<<<<<<<<<<<< * return getattr(self.memview, attr) * */ static PyObject *__pyx_array_MemoryView_5array_6__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getattr__", 0); /* "View.MemoryView":230 * * def __getattr__(self, attr): * return getattr(self.memview, attr) # <<<<<<<<<<<<<< * * def __getitem__(self, item): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__memview); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 230; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_GetAttr(__pyx_t_1, __pyx_v_attr); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 230; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.array.__getattr__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_array___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item); /*proto*/ static PyObject *__pyx_array___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getitem__ (wrapper)", 0); __pyx_r = __pyx_array_MemoryView_5array_8__getitem__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_item)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":232 * return getattr(self.memview, attr) * * def __getitem__(self, item): # <<<<<<<<<<<<<< * return self.memview[item] * */ static PyObject *__pyx_array_MemoryView_5array_8__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getitem__", 0); /* "View.MemoryView":233 * * def __getitem__(self, item): * return self.memview[item] # <<<<<<<<<<<<<< * * def __setitem__(self, item, value): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__memview); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 233; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyObject_GetItem(__pyx_t_1, __pyx_v_item); if (!__pyx_t_2) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 233; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.array.__getitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static int __pyx_array___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /*proto*/ static int __pyx_array___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__setitem__ (wrapper)", 0); __pyx_r = __pyx_array_MemoryView_5array_10__setitem__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_item), ((PyObject *)__pyx_v_value)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":235 * return self.memview[item] * * def __setitem__(self, item, value): # <<<<<<<<<<<<<< * self.memview[item] = value * */ static int __pyx_array_MemoryView_5array_10__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value) { int __pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__setitem__", 0); /* "View.MemoryView":236 * * def __setitem__(self, item, value): * self.memview[item] = value # <<<<<<<<<<<<<< * * */ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__memview); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 236; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyObject_SetItem(__pyx_t_1, __pyx_v_item, __pyx_v_value) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 236; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.array.__setitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":240 * * @cname("__pyx_array_new") * cdef array array_cwrapper(tuple shape, Py_ssize_t itemsize, char *format, # <<<<<<<<<<<<<< * char *mode, char *buf): * cdef array result */ static struct __pyx_array_obj *__pyx_array_new(PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, char *__pyx_v_format, char *__pyx_v_mode, char *__pyx_v_buf) { struct __pyx_array_obj *__pyx_v_result = 0; struct __pyx_array_obj *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("array_cwrapper", 0); /* "View.MemoryView":244 * cdef array result * * if buf == NULL: # <<<<<<<<<<<<<< * result = array(shape, itemsize, format, mode.decode('ASCII')) * else: */ __pyx_t_1 = ((__pyx_v_buf == NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":245 * * if buf == NULL: * result = array(shape, itemsize, format, mode.decode('ASCII')) # <<<<<<<<<<<<<< * else: * result = array(shape, itemsize, format, mode.decode('ASCII'), */ __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_itemsize); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __Pyx_PyBytes_FromString(__pyx_v_format); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __pyx_t_4 = ((PyObject *)__Pyx_decode_c_string(__pyx_v_mode, 0, strlen(__pyx_v_mode), NULL, NULL, PyUnicode_DecodeASCII)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __pyx_t_5 = PyTuple_New(4); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_INCREF(((PyObject *)__pyx_v_shape)); PyTuple_SET_ITEM(__pyx_t_5, 0, ((PyObject *)__pyx_v_shape)); __Pyx_GIVEREF(((PyObject *)__pyx_v_shape)); PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_5, 2, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); PyTuple_SET_ITEM(__pyx_t_5, 3, ((PyObject *)__pyx_t_4)); __Pyx_GIVEREF(((PyObject *)__pyx_t_4)); __pyx_t_2 = 0; __pyx_t_3 = 0; __pyx_t_4 = 0; __pyx_t_4 = PyObject_Call(((PyObject *)((PyObject *)__pyx_array_type)), ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; __pyx_v_result = ((struct __pyx_array_obj *)__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":247 * result = array(shape, itemsize, format, mode.decode('ASCII')) * else: * result = array(shape, itemsize, format, mode.decode('ASCII'), # <<<<<<<<<<<<<< * allocate_buffer=False) * result.data = buf */ __pyx_t_4 = PyInt_FromSsize_t(__pyx_v_itemsize); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_5 = __Pyx_PyBytes_FromString(__pyx_v_format); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __pyx_t_3 = ((PyObject *)__Pyx_decode_c_string(__pyx_v_mode, 0, strlen(__pyx_v_mode), NULL, NULL, PyUnicode_DecodeASCII)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __pyx_t_2 = PyTuple_New(4); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)__pyx_v_shape)); PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_shape)); __Pyx_GIVEREF(((PyObject *)__pyx_v_shape)); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_2, 2, ((PyObject *)__pyx_t_5)); __Pyx_GIVEREF(((PyObject *)__pyx_t_5)); PyTuple_SET_ITEM(__pyx_t_2, 3, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); __pyx_t_4 = 0; __pyx_t_5 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyDict_New(); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); /* "View.MemoryView":248 * else: * result = array(shape, itemsize, format, mode.decode('ASCII'), * allocate_buffer=False) # <<<<<<<<<<<<<< * result.data = buf * */ __pyx_t_5 = __Pyx_PyBool_FromLong(0); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 248; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); if (PyDict_SetItem(__pyx_t_3, ((PyObject *)__pyx_n_s__allocate_buffer), __pyx_t_5) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_5 = PyObject_Call(((PyObject *)((PyObject *)__pyx_array_type)), ((PyObject *)__pyx_t_2), ((PyObject *)__pyx_t_3)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_v_result = ((struct __pyx_array_obj *)__pyx_t_5); __pyx_t_5 = 0; /* "View.MemoryView":249 * result = array(shape, itemsize, format, mode.decode('ASCII'), * allocate_buffer=False) * result.data = buf # <<<<<<<<<<<<<< * * return result */ __pyx_v_result->data = __pyx_v_buf; } __pyx_L3:; /* "View.MemoryView":251 * result.data = buf * * return result # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(((PyObject *)__pyx_r)); __Pyx_INCREF(((PyObject *)__pyx_v_result)); __pyx_r = __pyx_v_result; goto __pyx_L0; __pyx_r = ((struct __pyx_array_obj *)Py_None); __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.array_cwrapper", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_result); __Pyx_XGIVEREF((PyObject *)__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static int __pyx_MemviewEnum___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ static int __pyx_MemviewEnum___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_name = 0; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__init__ (wrapper)", 0); { static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__name,0}; PyObject* values[1] = {0}; if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = PyDict_Size(__pyx_kwds); switch (pos_args) { case 0: if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__name)) != 0)) kw_args--; else goto __pyx_L5_argtuple_error; } if (unlikely(kw_args > 0)) { if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__init__") < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 277; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } else if (PyTuple_GET_SIZE(__pyx_args) != 1) { goto __pyx_L5_argtuple_error; } else { values[0] = PyTuple_GET_ITEM(__pyx_args, 0); } __pyx_v_name = values[0]; } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("__init__", 1, 1, 1, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 277; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("View.MemoryView.Enum.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return -1; __pyx_L4_argument_unpacking_done:; __pyx_r = __pyx_MemviewEnum_MemoryView_4Enum___init__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self), __pyx_v_name); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":277 * cdef class Enum(object): * cdef object name * def __init__(self, name): # <<<<<<<<<<<<<< * self.name = name * def __repr__(self): */ static int __pyx_MemviewEnum_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__init__", 0); /* "View.MemoryView":278 * cdef object name * def __init__(self, name): * self.name = name # <<<<<<<<<<<<<< * def __repr__(self): * return self.name */ __Pyx_INCREF(__pyx_v_name); __Pyx_GIVEREF(__pyx_v_name); __Pyx_GOTREF(__pyx_v_self->name); __Pyx_DECREF(__pyx_v_self->name); __pyx_v_self->name = __pyx_v_name; __pyx_r = 0; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_MemviewEnum___repr__(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_MemviewEnum___repr__(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__repr__ (wrapper)", 0); __pyx_r = __pyx_MemviewEnum_MemoryView_4Enum_2__repr__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":279 * def __init__(self, name): * self.name = name * def __repr__(self): # <<<<<<<<<<<<<< * return self.name * */ static PyObject *__pyx_MemviewEnum_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__repr__", 0); /* "View.MemoryView":280 * self.name = name * def __repr__(self): * return self.name # <<<<<<<<<<<<<< * * cdef generic = Enum("") */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_self->name); __pyx_r = __pyx_v_self->name; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":294 * * @cname('__pyx_align_pointer') * cdef void *align_pointer(void *memory, size_t alignment) nogil: # <<<<<<<<<<<<<< * "Align pointer memory on a given boundary" * cdef Py_intptr_t aligned_p = memory */ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) { Py_intptr_t __pyx_v_aligned_p; size_t __pyx_v_offset; void *__pyx_r; int __pyx_t_1; /* "View.MemoryView":296 * cdef void *align_pointer(void *memory, size_t alignment) nogil: * "Align pointer memory on a given boundary" * cdef Py_intptr_t aligned_p = memory # <<<<<<<<<<<<<< * cdef size_t offset * */ __pyx_v_aligned_p = ((Py_intptr_t)__pyx_v_memory); /* "View.MemoryView":300 * * with cython.cdivision(True): * offset = aligned_p % alignment # <<<<<<<<<<<<<< * * if offset > 0: */ __pyx_v_offset = (__pyx_v_aligned_p % __pyx_v_alignment); /* "View.MemoryView":302 * offset = aligned_p % alignment * * if offset > 0: # <<<<<<<<<<<<<< * aligned_p += alignment - offset * */ __pyx_t_1 = ((__pyx_v_offset > 0) != 0); if (__pyx_t_1) { /* "View.MemoryView":303 * * if offset > 0: * aligned_p += alignment - offset # <<<<<<<<<<<<<< * * return aligned_p */ __pyx_v_aligned_p = (__pyx_v_aligned_p + (__pyx_v_alignment - __pyx_v_offset)); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":305 * aligned_p += alignment - offset * * return aligned_p # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview') */ __pyx_r = ((void *)__pyx_v_aligned_p); goto __pyx_L0; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* Python wrapper */ static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_obj = 0; int __pyx_v_flags; int __pyx_v_dtype_is_object; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__cinit__ (wrapper)", 0); { static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__obj,&__pyx_n_s__flags,&__pyx_n_s__dtype_is_object,0}; PyObject* values[3] = {0,0,0}; if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = PyDict_Size(__pyx_kwds); switch (pos_args) { case 0: if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__obj)) != 0)) kw_args--; else goto __pyx_L5_argtuple_error; case 1: if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__flags)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, 1); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 2: if (kw_args > 0) { PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__dtype_is_object); if (value) { values[2] = value; kw_args--; } } } if (unlikely(kw_args > 0)) { if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } else { switch (PyTuple_GET_SIZE(__pyx_args)) { case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); values[0] = PyTuple_GET_ITEM(__pyx_args, 0); break; default: goto __pyx_L5_argtuple_error; } } __pyx_v_obj = values[0]; __pyx_v_flags = __Pyx_PyInt_AsInt(values[1]); if (unlikely((__pyx_v_flags == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} if (values[2]) { __pyx_v_dtype_is_object = __Pyx_PyObject_IsTrue(values[2]); if (unlikely((__pyx_v_dtype_is_object == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } else { /* "View.MemoryView":323 * cdef __Pyx_TypeInfo *typeinfo * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): # <<<<<<<<<<<<<< * self.obj = obj * self.flags = flags */ __pyx_v_dtype_is_object = ((int)0); } } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("View.MemoryView.memoryview.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return -1; __pyx_L4_argument_unpacking_done:; __pyx_r = __pyx_memoryview_MemoryView_10memoryview___cinit__(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_obj, __pyx_v_flags, __pyx_v_dtype_is_object); __Pyx_RefNannyFinishContext(); return __pyx_r; } static int __pyx_memoryview_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object) { int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__cinit__", 0); /* "View.MemoryView":324 * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): * self.obj = obj # <<<<<<<<<<<<<< * self.flags = flags * if type(self) is memoryview or obj is not None: */ __Pyx_INCREF(__pyx_v_obj); __Pyx_GIVEREF(__pyx_v_obj); __Pyx_GOTREF(__pyx_v_self->obj); __Pyx_DECREF(__pyx_v_self->obj); __pyx_v_self->obj = __pyx_v_obj; /* "View.MemoryView":325 * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): * self.obj = obj * self.flags = flags # <<<<<<<<<<<<<< * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) */ __pyx_v_self->flags = __pyx_v_flags; /* "View.MemoryView":326 * self.obj = obj * self.flags = flags * if type(self) is memoryview or obj is not None: # <<<<<<<<<<<<<< * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: */ __pyx_t_1 = (((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self))) == ((PyObject *)((PyObject *)__pyx_memoryview_type))); if (!(__pyx_t_1 != 0)) { __pyx_t_2 = (__pyx_v_obj != Py_None); __pyx_t_3 = (__pyx_t_2 != 0); } else { __pyx_t_3 = (__pyx_t_1 != 0); } if (__pyx_t_3) { /* "View.MemoryView":327 * self.flags = flags * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) # <<<<<<<<<<<<<< * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None */ __pyx_t_4 = __Pyx_GetBuffer(__pyx_v_obj, (&__pyx_v_self->view), __pyx_v_flags); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 327; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":328 * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: # <<<<<<<<<<<<<< * (<__pyx_buffer *> &self.view).obj = Py_None * Py_INCREF(Py_None) */ __pyx_t_3 = ((((PyObject *)__pyx_v_self->view.obj) == NULL) != 0); if (__pyx_t_3) { /* "View.MemoryView":329 * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None # <<<<<<<<<<<<<< * Py_INCREF(Py_None) * */ ((Py_buffer *)(&__pyx_v_self->view))->obj = Py_None; /* "View.MemoryView":330 * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< * * self.lock = PyThread_allocate_lock() */ Py_INCREF(Py_None); goto __pyx_L4; } __pyx_L4:; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":332 * Py_INCREF(Py_None) * * self.lock = PyThread_allocate_lock() # <<<<<<<<<<<<<< * if self.lock == NULL: * raise MemoryError */ __pyx_v_self->lock = PyThread_allocate_lock(); /* "View.MemoryView":333 * * self.lock = PyThread_allocate_lock() * if self.lock == NULL: # <<<<<<<<<<<<<< * raise MemoryError * */ __pyx_t_3 = ((__pyx_v_self->lock == NULL) != 0); if (__pyx_t_3) { /* "View.MemoryView":334 * self.lock = PyThread_allocate_lock() * if self.lock == NULL: * raise MemoryError # <<<<<<<<<<<<<< * * if flags & PyBUF_FORMAT: */ PyErr_NoMemory(); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 334; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; /* "View.MemoryView":336 * raise MemoryError * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * self.dtype_is_object = self.view.format == b'O' * else: */ __pyx_t_3 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); if (__pyx_t_3) { /* "View.MemoryView":337 * * if flags & PyBUF_FORMAT: * self.dtype_is_object = self.view.format == b'O' # <<<<<<<<<<<<<< * else: * self.dtype_is_object = dtype_is_object */ __pyx_t_5 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 337; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __pyx_t_6 = PyObject_RichCompare(((PyObject *)__pyx_t_5), ((PyObject *)__pyx_n_b__O), Py_EQ); __Pyx_XGOTREF(__pyx_t_6); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 337; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely((__pyx_t_3 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 337; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __pyx_v_self->dtype_is_object = __pyx_t_3; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":339 * self.dtype_is_object = self.view.format == b'O' * else: * self.dtype_is_object = dtype_is_object # <<<<<<<<<<<<<< * * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( */ __pyx_v_self->dtype_is_object = __pyx_v_dtype_is_object; } __pyx_L6:; /* "View.MemoryView":341 * self.dtype_is_object = dtype_is_object * * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( # <<<<<<<<<<<<<< * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) * self.typeinfo = NULL */ __pyx_v_self->acquisition_count_aligned_p = ((__pyx_atomic_int *)__pyx_align_pointer(((void *)(&(__pyx_v_self->acquisition_count[0]))), (sizeof(__pyx_atomic_int)))); /* "View.MemoryView":343 * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) * self.typeinfo = NULL # <<<<<<<<<<<<<< * * def __dealloc__(memoryview self): */ __pyx_v_self->typeinfo = NULL; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_AddTraceback("View.MemoryView.memoryview.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static void __pyx_memoryview___dealloc__(PyObject *__pyx_v_self); /*proto*/ static void __pyx_memoryview___dealloc__(PyObject *__pyx_v_self) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); __pyx_memoryview_MemoryView_10memoryview_2__dealloc__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":345 * self.typeinfo = NULL * * def __dealloc__(memoryview self): # <<<<<<<<<<<<<< * if self.obj is not None: * __Pyx_ReleaseBuffer(&self.view) */ static void __pyx_memoryview_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; __Pyx_RefNannySetupContext("__dealloc__", 0); /* "View.MemoryView":346 * * def __dealloc__(memoryview self): * if self.obj is not None: # <<<<<<<<<<<<<< * __Pyx_ReleaseBuffer(&self.view) * */ __pyx_t_1 = (__pyx_v_self->obj != Py_None); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":347 * def __dealloc__(memoryview self): * if self.obj is not None: * __Pyx_ReleaseBuffer(&self.view) # <<<<<<<<<<<<<< * * if self.lock != NULL: */ __Pyx_ReleaseBuffer((&__pyx_v_self->view)); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":349 * __Pyx_ReleaseBuffer(&self.view) * * if self.lock != NULL: # <<<<<<<<<<<<<< * PyThread_free_lock(self.lock) * */ __pyx_t_2 = ((__pyx_v_self->lock != NULL) != 0); if (__pyx_t_2) { /* "View.MemoryView":350 * * if self.lock != NULL: * PyThread_free_lock(self.lock) # <<<<<<<<<<<<<< * * cdef char *get_item_pointer(memoryview self, object index) except NULL: */ PyThread_free_lock(__pyx_v_self->lock); goto __pyx_L4; } __pyx_L4:; __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":352 * PyThread_free_lock(self.lock) * * cdef char *get_item_pointer(memoryview self, object index) except NULL: # <<<<<<<<<<<<<< * cdef Py_ssize_t dim * cdef char *itemp = self.view.buf */ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index) { Py_ssize_t __pyx_v_dim; char *__pyx_v_itemp; PyObject *__pyx_v_idx = NULL; char *__pyx_r; __Pyx_RefNannyDeclarations Py_ssize_t __pyx_t_1; PyObject *__pyx_t_2 = NULL; Py_ssize_t __pyx_t_3; PyObject *(*__pyx_t_4)(PyObject *); PyObject *__pyx_t_5 = NULL; Py_ssize_t __pyx_t_6; char *__pyx_t_7; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("get_item_pointer", 0); /* "View.MemoryView":354 * cdef char *get_item_pointer(memoryview self, object index) except NULL: * cdef Py_ssize_t dim * cdef char *itemp = self.view.buf # <<<<<<<<<<<<<< * * for dim, idx in enumerate(index): */ __pyx_v_itemp = ((char *)__pyx_v_self->view.buf); /* "View.MemoryView":356 * cdef char *itemp = self.view.buf * * for dim, idx in enumerate(index): # <<<<<<<<<<<<<< * itemp = pybuffer_index(&self.view, itemp, idx, dim) * */ __pyx_t_1 = 0; if (PyList_CheckExact(__pyx_v_index) || PyTuple_CheckExact(__pyx_v_index)) { __pyx_t_2 = __pyx_v_index; __Pyx_INCREF(__pyx_t_2); __pyx_t_3 = 0; __pyx_t_4 = NULL; } else { __pyx_t_3 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_v_index); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_4 = Py_TYPE(__pyx_t_2)->tp_iternext; } for (;;) { if (!__pyx_t_4 && PyList_CheckExact(__pyx_t_2)) { if (__pyx_t_3 >= PyList_GET_SIZE(__pyx_t_2)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_5 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else if (!__pyx_t_4 && PyTuple_CheckExact(__pyx_t_2)) { if (__pyx_t_3 >= PyTuple_GET_SIZE(__pyx_t_2)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_5 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else { __pyx_t_5 = __pyx_t_4(__pyx_t_2); if (unlikely(!__pyx_t_5)) { if (PyErr_Occurred()) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear(); else {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } break; } __Pyx_GOTREF(__pyx_t_5); } __Pyx_XDECREF(__pyx_v_idx); __pyx_v_idx = __pyx_t_5; __pyx_t_5 = 0; __pyx_v_dim = __pyx_t_1; __pyx_t_1 = (__pyx_t_1 + 1); /* "View.MemoryView":357 * * for dim, idx in enumerate(index): * itemp = pybuffer_index(&self.view, itemp, idx, dim) # <<<<<<<<<<<<<< * * return itemp */ __pyx_t_6 = __Pyx_PyIndex_AsSsize_t(__pyx_v_idx); if (unlikely((__pyx_t_6 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 357; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_7 = __pyx_pybuffer_index((&__pyx_v_self->view), __pyx_v_itemp, __pyx_t_6, __pyx_v_dim); if (unlikely(__pyx_t_7 == NULL)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 357; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_itemp = __pyx_t_7; } __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; /* "View.MemoryView":359 * itemp = pybuffer_index(&self.view, itemp, idx, dim) * * return itemp # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_itemp; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.memoryview.get_item_pointer", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF(__pyx_v_idx); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index); /*proto*/ static PyObject *__pyx_memoryview___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getitem__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_4__getitem__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((PyObject *)__pyx_v_index)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":362 * * * def __getitem__(memoryview self, object index): # <<<<<<<<<<<<<< * if index is Ellipsis: * return self */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index) { PyObject *__pyx_v_have_slices = NULL; PyObject *__pyx_v_indices = NULL; char *__pyx_v_itemp; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; PyObject *(*__pyx_t_7)(PyObject *); char *__pyx_t_8; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getitem__", 0); /* "View.MemoryView":363 * * def __getitem__(memoryview self, object index): * if index is Ellipsis: # <<<<<<<<<<<<<< * return self * */ __pyx_t_1 = (__pyx_v_index == __pyx_builtin_Ellipsis); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":364 * def __getitem__(memoryview self, object index): * if index is Ellipsis: * return self # <<<<<<<<<<<<<< * * have_slices, indices = _unellipsify(index, self.view.ndim) */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_self)); __pyx_r = ((PyObject *)__pyx_v_self); goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":366 * return self * * have_slices, indices = _unellipsify(index, self.view.ndim) # <<<<<<<<<<<<<< * * cdef char *itemp */ __pyx_t_3 = ((PyObject *)_unellipsify(__pyx_v_index, __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (likely(PyTuple_CheckExact(__pyx_t_3))) { PyObject* sequence = __pyx_t_3; #if CYTHON_COMPILING_IN_CPYTHON Py_ssize_t size = Py_SIZE(sequence); #else Py_ssize_t size = PySequence_Size(sequence); #endif if (unlikely(size != 2)) { if (size > 2) __Pyx_RaiseTooManyValuesError(2); else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_4 = PyTuple_GET_ITEM(sequence, 0); __pyx_t_5 = PyTuple_GET_ITEM(sequence, 1); __Pyx_INCREF(__pyx_t_4); __Pyx_INCREF(__pyx_t_5); #else __pyx_t_4 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_5 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); #endif __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } else if (1) { __Pyx_RaiseNoneNotIterableError(); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else { Py_ssize_t index = -1; __pyx_t_6 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = Py_TYPE(__pyx_t_6)->tp_iternext; index = 0; __pyx_t_4 = __pyx_t_7(__pyx_t_6); if (unlikely(!__pyx_t_4)) goto __pyx_L4_unpacking_failed; __Pyx_GOTREF(__pyx_t_4); index = 1; __pyx_t_5 = __pyx_t_7(__pyx_t_6); if (unlikely(!__pyx_t_5)) goto __pyx_L4_unpacking_failed; __Pyx_GOTREF(__pyx_t_5); if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_6), 2) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_7 = NULL; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; goto __pyx_L5_unpacking_done; __pyx_L4_unpacking_failed:; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __pyx_t_7 = NULL; if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_L5_unpacking_done:; } __pyx_v_have_slices = __pyx_t_4; __pyx_t_4 = 0; __pyx_v_indices = __pyx_t_5; __pyx_t_5 = 0; /* "View.MemoryView":369 * * cdef char *itemp * if have_slices: # <<<<<<<<<<<<<< * return memview_slice(self, indices) * else: */ __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_2) { /* "View.MemoryView":370 * cdef char *itemp * if have_slices: * return memview_slice(self, indices) # <<<<<<<<<<<<<< * else: * itemp = self.get_item_pointer(indices) */ __Pyx_XDECREF(__pyx_r); __pyx_t_3 = ((PyObject *)__pyx_memview_slice(__pyx_v_self, __pyx_v_indices)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 370; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; goto __pyx_L0; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":372 * return memview_slice(self, indices) * else: * itemp = self.get_item_pointer(indices) # <<<<<<<<<<<<<< * return self.convert_item_to_object(itemp) * */ __pyx_t_8 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->get_item_pointer(__pyx_v_self, __pyx_v_indices); if (unlikely(__pyx_t_8 == NULL)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 372; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_itemp = __pyx_t_8; /* "View.MemoryView":373 * else: * itemp = self.get_item_pointer(indices) * return self.convert_item_to_object(itemp) # <<<<<<<<<<<<<< * * def __setitem__(memoryview self, object index, object value): */ __Pyx_XDECREF(__pyx_r); __pyx_t_3 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->convert_item_to_object(__pyx_v_self, __pyx_v_itemp); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 373; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; goto __pyx_L0; } __pyx_L6:; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_AddTraceback("View.MemoryView.memoryview.__getitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF(__pyx_v_have_slices); __Pyx_XDECREF(__pyx_v_indices); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static int __pyx_memoryview___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /*proto*/ static int __pyx_memoryview___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__setitem__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_6__setitem__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((PyObject *)__pyx_v_index), ((PyObject *)__pyx_v_value)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":375 * return self.convert_item_to_object(itemp) * * def __setitem__(memoryview self, object index, object value): # <<<<<<<<<<<<<< * have_slices, index = _unellipsify(index, self.view.ndim) * */ static int __pyx_memoryview_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { PyObject *__pyx_v_have_slices = NULL; PyObject *__pyx_v_obj = NULL; int __pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *(*__pyx_t_5)(PyObject *); int __pyx_t_6; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__setitem__", 0); __Pyx_INCREF(__pyx_v_index); /* "View.MemoryView":376 * * def __setitem__(memoryview self, object index, object value): * have_slices, index = _unellipsify(index, self.view.ndim) # <<<<<<<<<<<<<< * * if have_slices: */ __pyx_t_1 = ((PyObject *)_unellipsify(__pyx_v_index, __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (likely(PyTuple_CheckExact(__pyx_t_1))) { PyObject* sequence = __pyx_t_1; #if CYTHON_COMPILING_IN_CPYTHON Py_ssize_t size = Py_SIZE(sequence); #else Py_ssize_t size = PySequence_Size(sequence); #endif if (unlikely(size != 2)) { if (size > 2) __Pyx_RaiseTooManyValuesError(2); else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_2 = PyTuple_GET_ITEM(sequence, 0); __pyx_t_3 = PyTuple_GET_ITEM(sequence, 1); __Pyx_INCREF(__pyx_t_2); __Pyx_INCREF(__pyx_t_3); #else __pyx_t_2 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); #endif __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; } else if (1) { __Pyx_RaiseNoneNotIterableError(); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else { Py_ssize_t index = -1; __pyx_t_4 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_5 = Py_TYPE(__pyx_t_4)->tp_iternext; index = 0; __pyx_t_2 = __pyx_t_5(__pyx_t_4); if (unlikely(!__pyx_t_2)) goto __pyx_L3_unpacking_failed; __Pyx_GOTREF(__pyx_t_2); index = 1; __pyx_t_3 = __pyx_t_5(__pyx_t_4); if (unlikely(!__pyx_t_3)) goto __pyx_L3_unpacking_failed; __Pyx_GOTREF(__pyx_t_3); if (__Pyx_IternextUnpackEndCheck(__pyx_t_5(__pyx_t_4), 2) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_5 = NULL; __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L4_unpacking_done; __pyx_L3_unpacking_failed:; __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_5 = NULL; if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_L4_unpacking_done:; } __pyx_v_have_slices = __pyx_t_2; __pyx_t_2 = 0; __Pyx_DECREF(__pyx_v_index); __pyx_v_index = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":378 * have_slices, index = _unellipsify(index, self.view.ndim) * * if have_slices: # <<<<<<<<<<<<<< * obj = self.is_slice(value) * if obj: */ __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 378; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_6) { /* "View.MemoryView":379 * * if have_slices: * obj = self.is_slice(value) # <<<<<<<<<<<<<< * if obj: * self.setitem_slice_assignment(self[index], obj) */ __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->is_slice(__pyx_v_self, __pyx_v_value); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 379; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_v_obj = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":380 * if have_slices: * obj = self.is_slice(value) * if obj: # <<<<<<<<<<<<<< * self.setitem_slice_assignment(self[index], obj) * else: */ __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_v_obj); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 380; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_6) { /* "View.MemoryView":381 * obj = self.is_slice(value) * if obj: * self.setitem_slice_assignment(self[index], obj) # <<<<<<<<<<<<<< * else: * self.setitem_slice_assign_scalar(self[index], value) */ __pyx_t_1 = PyObject_GetItem(((PyObject *)__pyx_v_self), __pyx_v_index); if (!__pyx_t_1) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 381; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_slice_assignment(__pyx_v_self, __pyx_t_1, __pyx_v_obj); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 381; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":383 * self.setitem_slice_assignment(self[index], obj) * else: * self.setitem_slice_assign_scalar(self[index], value) # <<<<<<<<<<<<<< * else: * self.setitem_indexed(index, value) */ __pyx_t_3 = PyObject_GetItem(((PyObject *)__pyx_v_self), __pyx_v_index); if (!__pyx_t_3) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 383; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 383; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_slice_assign_scalar(__pyx_v_self, ((struct __pyx_memoryview_obj *)__pyx_t_3), __pyx_v_value); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 383; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; } __pyx_L6:; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":385 * self.setitem_slice_assign_scalar(self[index], value) * else: * self.setitem_indexed(index, value) # <<<<<<<<<<<<<< * * cdef is_slice(self, obj): */ __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_indexed(__pyx_v_self, __pyx_v_index, __pyx_v_value); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 385; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; } __pyx_L5:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.memoryview.__setitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_XDECREF(__pyx_v_have_slices); __Pyx_XDECREF(__pyx_v_obj); __Pyx_XDECREF(__pyx_v_index); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":387 * self.setitem_indexed(index, value) * * cdef is_slice(self, obj): # <<<<<<<<<<<<<< * if not isinstance(obj, memoryview): * try: */ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; PyObject *__pyx_t_7 = NULL; PyObject *__pyx_t_8 = NULL; int __pyx_t_9; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("is_slice", 0); __Pyx_INCREF(__pyx_v_obj); /* "View.MemoryView":388 * * cdef is_slice(self, obj): * if not isinstance(obj, memoryview): # <<<<<<<<<<<<<< * try: * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, */ __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_obj, ((PyObject *)__pyx_memoryview_type)); __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":389 * cdef is_slice(self, obj): * if not isinstance(obj, memoryview): * try: # <<<<<<<<<<<<<< * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, * self.dtype_is_object) */ { __Pyx_ExceptionSave(&__pyx_t_3, &__pyx_t_4, &__pyx_t_5); __Pyx_XGOTREF(__pyx_t_3); __Pyx_XGOTREF(__pyx_t_4); __Pyx_XGOTREF(__pyx_t_5); /*try:*/ { /* "View.MemoryView":390 * if not isinstance(obj, memoryview): * try: * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, # <<<<<<<<<<<<<< * self.dtype_is_object) * except TypeError: */ __pyx_t_6 = PyInt_FromLong((__pyx_v_self->flags | PyBUF_ANY_CONTIGUOUS)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 390; __pyx_clineno = __LINE__; goto __pyx_L4_error;} __Pyx_GOTREF(__pyx_t_6); /* "View.MemoryView":391 * try: * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, * self.dtype_is_object) # <<<<<<<<<<<<<< * except TypeError: * return None */ __pyx_t_7 = __Pyx_PyBool_FromLong(__pyx_v_self->dtype_is_object); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 391; __pyx_clineno = __LINE__; goto __pyx_L4_error;} __Pyx_GOTREF(__pyx_t_7); __pyx_t_8 = PyTuple_New(3); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 390; __pyx_clineno = __LINE__; goto __pyx_L4_error;} __Pyx_GOTREF(__pyx_t_8); __Pyx_INCREF(__pyx_v_obj); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_v_obj); __Pyx_GIVEREF(__pyx_v_obj); PyTuple_SET_ITEM(__pyx_t_8, 1, __pyx_t_6); __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_8, 2, __pyx_t_7); __Pyx_GIVEREF(__pyx_t_7); __pyx_t_6 = 0; __pyx_t_7 = 0; __pyx_t_7 = PyObject_Call(((PyObject *)((PyObject *)__pyx_memoryview_type)), ((PyObject *)__pyx_t_8), NULL); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 390; __pyx_clineno = __LINE__; goto __pyx_L4_error;} __Pyx_GOTREF(__pyx_t_7); __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __Pyx_DECREF(__pyx_v_obj); __pyx_v_obj = __pyx_t_7; __pyx_t_7 = 0; } __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; goto __pyx_L11_try_end; __pyx_L4_error:; __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; /* "View.MemoryView":392 * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, * self.dtype_is_object) * except TypeError: # <<<<<<<<<<<<<< * return None * */ __pyx_t_9 = PyErr_ExceptionMatches(__pyx_builtin_TypeError); if (__pyx_t_9) { __Pyx_AddTraceback("View.MemoryView.memoryview.is_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); if (__Pyx_GetException(&__pyx_t_7, &__pyx_t_8, &__pyx_t_6) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 392; __pyx_clineno = __LINE__; goto __pyx_L6_except_error;} __Pyx_GOTREF(__pyx_t_7); __Pyx_GOTREF(__pyx_t_8); __Pyx_GOTREF(__pyx_t_6); /* "View.MemoryView":393 * self.dtype_is_object) * except TypeError: * return None # <<<<<<<<<<<<<< * * return obj */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(Py_None); __pyx_r = Py_None; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; goto __pyx_L7_except_return; __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; goto __pyx_L5_exception_handled; } __pyx_L6_except_error:; __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_XGIVEREF(__pyx_t_5); __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5); goto __pyx_L1_error; __pyx_L7_except_return:; __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_XGIVEREF(__pyx_t_5); __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5); goto __pyx_L0; __pyx_L5_exception_handled:; __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_XGIVEREF(__pyx_t_5); __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5); __pyx_L11_try_end:; } goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":395 * return None * * return obj # <<<<<<<<<<<<<< * * cdef setitem_slice_assignment(self, dst, src): */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_obj); __pyx_r = __pyx_v_obj; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_7); __Pyx_XDECREF(__pyx_t_8); __Pyx_AddTraceback("View.MemoryView.memoryview.is_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF(__pyx_v_obj); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":397 * return obj * * cdef setitem_slice_assignment(self, dst, src): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice dst_slice * cdef __Pyx_memviewslice src_slice */ static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src) { __Pyx_memviewslice __pyx_v_dst_slice; __Pyx_memviewslice __pyx_v_src_slice; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("setitem_slice_assignment", 0); /* "View.MemoryView":401 * cdef __Pyx_memviewslice src_slice * * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], # <<<<<<<<<<<<<< * get_slice_from_memview(dst, &dst_slice)[0], * src.ndim, dst.ndim, self.dtype_is_object) */ if (!(likely(((__pyx_v_src) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_src, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 401; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":402 * * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], * get_slice_from_memview(dst, &dst_slice)[0], # <<<<<<<<<<<<<< * src.ndim, dst.ndim, self.dtype_is_object) * */ if (!(likely(((__pyx_v_dst) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_dst, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 402; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":403 * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], * get_slice_from_memview(dst, &dst_slice)[0], * src.ndim, dst.ndim, self.dtype_is_object) # <<<<<<<<<<<<<< * * cdef setitem_slice_assign_scalar(self, memoryview dst, value): */ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_src, __pyx_n_s__ndim); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 403; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyInt_AsInt(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 403; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dst, __pyx_n_s__ndim); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 403; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = __Pyx_PyInt_AsInt(__pyx_t_1); if (unlikely((__pyx_t_3 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 403; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_4 = __pyx_memoryview_copy_contents((__pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_src), (&__pyx_v_src_slice))[0]), (__pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_dst), (&__pyx_v_dst_slice))[0]), __pyx_t_2, __pyx_t_3, __pyx_v_self->dtype_is_object); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 401; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_slice_assignment", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":405 * src.ndim, dst.ndim, self.dtype_is_object) * * cdef setitem_slice_assign_scalar(self, memoryview dst, value): # <<<<<<<<<<<<<< * cdef int array[128] * cdef void *tmp = NULL */ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value) { int __pyx_v_array[128]; void *__pyx_v_tmp; void *__pyx_v_item; __Pyx_memviewslice __pyx_v_tmp_slice; __Pyx_memviewslice *__pyx_v_dst_slice; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; PyObject *__pyx_t_7 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("setitem_slice_assign_scalar", 0); /* "View.MemoryView":407 * cdef setitem_slice_assign_scalar(self, memoryview dst, value): * cdef int array[128] * cdef void *tmp = NULL # <<<<<<<<<<<<<< * cdef void *item * */ __pyx_v_tmp = NULL; /* "View.MemoryView":411 * * cdef __Pyx_memviewslice tmp_slice, *dst_slice * dst_slice = get_slice_from_memview(dst, &tmp_slice) # <<<<<<<<<<<<<< * * if self.view.itemsize > sizeof(array): */ __pyx_v_dst_slice = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_dst, (&__pyx_v_tmp_slice)); /* "View.MemoryView":413 * dst_slice = get_slice_from_memview(dst, &tmp_slice) * * if self.view.itemsize > sizeof(array): # <<<<<<<<<<<<<< * tmp = malloc(self.view.itemsize) * if tmp == NULL: */ __pyx_t_1 = ((((size_t)__pyx_v_self->view.itemsize) > (sizeof(__pyx_v_array))) != 0); if (__pyx_t_1) { /* "View.MemoryView":414 * * if self.view.itemsize > sizeof(array): * tmp = malloc(self.view.itemsize) # <<<<<<<<<<<<<< * if tmp == NULL: * raise MemoryError */ __pyx_v_tmp = malloc(__pyx_v_self->view.itemsize); /* "View.MemoryView":415 * if self.view.itemsize > sizeof(array): * tmp = malloc(self.view.itemsize) * if tmp == NULL: # <<<<<<<<<<<<<< * raise MemoryError * item = tmp */ __pyx_t_1 = ((__pyx_v_tmp == NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":416 * tmp = malloc(self.view.itemsize) * if tmp == NULL: * raise MemoryError # <<<<<<<<<<<<<< * item = tmp * else: */ PyErr_NoMemory(); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 416; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":417 * if tmp == NULL: * raise MemoryError * item = tmp # <<<<<<<<<<<<<< * else: * item = array */ __pyx_v_item = __pyx_v_tmp; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":419 * item = tmp * else: * item = array # <<<<<<<<<<<<<< * * if self.dtype_is_object: */ __pyx_v_item = ((void *)__pyx_v_array); } __pyx_L3:; /* "View.MemoryView":421 * item = array * * if self.dtype_is_object: # <<<<<<<<<<<<<< * ( item)[0] = value * else: */ __pyx_t_1 = (__pyx_v_self->dtype_is_object != 0); if (__pyx_t_1) { /* "View.MemoryView":422 * * if self.dtype_is_object: * ( item)[0] = value # <<<<<<<<<<<<<< * else: * try: */ (((PyObject **)__pyx_v_item)[0]) = ((PyObject *)__pyx_v_value); goto __pyx_L5; } /*else*/ { /* "View.MemoryView":424 * ( item)[0] = value * else: * try: # <<<<<<<<<<<<<< * self.assign_item_from_object( item, value) * except: */ { __Pyx_ExceptionSave(&__pyx_t_2, &__pyx_t_3, &__pyx_t_4); __Pyx_XGOTREF(__pyx_t_2); __Pyx_XGOTREF(__pyx_t_3); __Pyx_XGOTREF(__pyx_t_4); /*try:*/ { /* "View.MemoryView":425 * else: * try: * self.assign_item_from_object( item, value) # <<<<<<<<<<<<<< * except: * free(tmp) */ __pyx_t_5 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->assign_item_from_object(__pyx_v_self, ((char *)__pyx_v_item), __pyx_v_value); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 425; __pyx_clineno = __LINE__; goto __pyx_L6_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; } __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L13_try_end; __pyx_L6_error:; __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; /* "View.MemoryView":426 * try: * self.assign_item_from_object( item, value) * except: # <<<<<<<<<<<<<< * free(tmp) * raise */ /*except:*/ { __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_slice_assign_scalar", __pyx_clineno, __pyx_lineno, __pyx_filename); if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 426; __pyx_clineno = __LINE__; goto __pyx_L8_except_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); /* "View.MemoryView":427 * self.assign_item_from_object( item, value) * except: * free(tmp) # <<<<<<<<<<<<<< * raise * */ free(__pyx_v_tmp); /* "View.MemoryView":428 * except: * free(tmp) * raise # <<<<<<<<<<<<<< * * */ __Pyx_GIVEREF(__pyx_t_5); __Pyx_GIVEREF(__pyx_t_6); __Pyx_GIVEREF(__pyx_t_7); __Pyx_ErrRestore(__pyx_t_5, __pyx_t_6, __pyx_t_7); __pyx_t_5 = 0; __pyx_t_6 = 0; __pyx_t_7 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 428; __pyx_clineno = __LINE__; goto __pyx_L8_except_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; goto __pyx_L7_exception_handled; } __pyx_L8_except_error:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); goto __pyx_L1_error; __pyx_L7_exception_handled:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); __pyx_L13_try_end:; } } __pyx_L5:; /* "View.MemoryView":432 * * * if self.view.suboffsets != NULL: # <<<<<<<<<<<<<< * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, */ __pyx_t_1 = ((__pyx_v_self->view.suboffsets != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":433 * * if self.view.suboffsets != NULL: * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) # <<<<<<<<<<<<<< * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, * item, self.dtype_is_object) */ __pyx_t_7 = assert_direct_dimensions(__pyx_v_self->view.suboffsets, __pyx_v_self->view.ndim); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 433; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_7); __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; goto __pyx_L16; } __pyx_L16:; /* "View.MemoryView":435 * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, * item, self.dtype_is_object) # <<<<<<<<<<<<<< * free(tmp) * */ __pyx_memoryview_slice_assign_scalar(__pyx_v_dst_slice, __pyx_v_dst->view.ndim, __pyx_v_self->view.itemsize, __pyx_v_item, __pyx_v_self->dtype_is_object); /* "View.MemoryView":436 * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, * item, self.dtype_is_object) * free(tmp) # <<<<<<<<<<<<<< * * cdef setitem_indexed(self, index, value): */ free(__pyx_v_tmp); __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_7); __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_slice_assign_scalar", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":438 * free(tmp) * * cdef setitem_indexed(self, index, value): # <<<<<<<<<<<<<< * cdef char *itemp = self.get_item_pointer(index) * self.assign_item_from_object(itemp, value) */ static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { char *__pyx_v_itemp; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations char *__pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("setitem_indexed", 0); /* "View.MemoryView":439 * * cdef setitem_indexed(self, index, value): * cdef char *itemp = self.get_item_pointer(index) # <<<<<<<<<<<<<< * self.assign_item_from_object(itemp, value) * */ __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->get_item_pointer(__pyx_v_self, __pyx_v_index); if (unlikely(__pyx_t_1 == NULL)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 439; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_itemp = __pyx_t_1; /* "View.MemoryView":440 * cdef setitem_indexed(self, index, value): * cdef char *itemp = self.get_item_pointer(index) * self.assign_item_from_object(itemp, value) # <<<<<<<<<<<<<< * * cdef convert_item_to_object(self, char *itemp): */ __pyx_t_2 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->assign_item_from_object(__pyx_v_self, __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 440; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_indexed", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":442 * self.assign_item_from_object(itemp, value) * * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" */ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp) { PyObject *__pyx_v_struct = NULL; PyObject *__pyx_v_bytesitem = 0; PyObject *__pyx_v_result = NULL; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; size_t __pyx_t_7; int __pyx_t_8; int __pyx_t_9; PyObject *__pyx_t_10 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("convert_item_to_object", 0); /* "View.MemoryView":445 * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" * import struct # <<<<<<<<<<<<<< * cdef bytes bytesitem * */ __pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__struct), 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 445; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_v_struct = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":448 * cdef bytes bytesitem * * bytesitem = itemp[:self.view.itemsize] # <<<<<<<<<<<<<< * try: * result = struct.unpack(self.view.format, bytesitem) */ __pyx_t_1 = __Pyx_PyBytes_FromStringAndSize(__pyx_v_itemp + 0, __pyx_v_self->view.itemsize - 0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 448; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __pyx_v_bytesitem = ((PyObject*)__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":449 * * bytesitem = itemp[:self.view.itemsize] * try: # <<<<<<<<<<<<<< * result = struct.unpack(self.view.format, bytesitem) * except struct.error: */ { __Pyx_ExceptionSave(&__pyx_t_2, &__pyx_t_3, &__pyx_t_4); __Pyx_XGOTREF(__pyx_t_2); __Pyx_XGOTREF(__pyx_t_3); __Pyx_XGOTREF(__pyx_t_4); /*try:*/ { /* "View.MemoryView":450 * bytesitem = itemp[:self.view.itemsize] * try: * result = struct.unpack(self.view.format, bytesitem) # <<<<<<<<<<<<<< * except struct.error: * raise ValueError("Unable to convert item to object") */ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s__unpack); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 450; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_5 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 450; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __pyx_t_6 = PyTuple_New(2); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 450; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __Pyx_GOTREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_6, 0, ((PyObject *)__pyx_t_5)); __Pyx_GIVEREF(((PyObject *)__pyx_t_5)); __Pyx_INCREF(((PyObject *)__pyx_v_bytesitem)); PyTuple_SET_ITEM(__pyx_t_6, 1, ((PyObject *)__pyx_v_bytesitem)); __Pyx_GIVEREF(((PyObject *)__pyx_v_bytesitem)); __pyx_t_5 = 0; __pyx_t_5 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_6), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 450; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0; __pyx_v_result = __pyx_t_5; __pyx_t_5 = 0; } /*else:*/ { /* "View.MemoryView":454 * raise ValueError("Unable to convert item to object") * else: * if len(self.view.format) == 1: # <<<<<<<<<<<<<< * return result[0] * return result */ __pyx_t_7 = strlen(__pyx_v_self->view.format); __pyx_t_8 = ((__pyx_t_7 == 1) != 0); if (__pyx_t_8) { /* "View.MemoryView":455 * else: * if len(self.view.format) == 1: * return result[0] # <<<<<<<<<<<<<< * return result * */ __Pyx_XDECREF(__pyx_r); __pyx_t_5 = __Pyx_GetItemInt(__pyx_v_result, 0, sizeof(long), PyInt_FromLong, 0, 0, 1); if (!__pyx_t_5) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 455; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; goto __pyx_L6_except_return; goto __pyx_L11; } __pyx_L11:; /* "View.MemoryView":456 * if len(self.view.format) == 1: * return result[0] * return result # <<<<<<<<<<<<<< * * cdef assign_item_from_object(self, char *itemp, object value): */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_result); __pyx_r = __pyx_v_result; goto __pyx_L6_except_return; } __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L10_try_end; __pyx_L3_error:; __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; /* "View.MemoryView":451 * try: * result = struct.unpack(self.view.format, bytesitem) * except struct.error: # <<<<<<<<<<<<<< * raise ValueError("Unable to convert item to object") * else: */ __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s__error); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 451; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_9 = PyErr_ExceptionMatches(__pyx_t_5); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_9) { __Pyx_AddTraceback("View.MemoryView.memoryview.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_1) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 451; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_1); /* "View.MemoryView":452 * result = struct.unpack(self.view.format, bytesitem) * except struct.error: * raise ValueError("Unable to convert item to object") # <<<<<<<<<<<<<< * else: * if len(self.view.format) == 1: */ __pyx_t_10 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_36), NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_Raise(__pyx_t_10, 0, 0, 0); __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; goto __pyx_L4_exception_handled; } __pyx_L5_except_error:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); goto __pyx_L1_error; __pyx_L6_except_return:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); goto __pyx_L0; __pyx_L4_exception_handled:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); __pyx_L10_try_end:; } __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_10); __Pyx_AddTraceback("View.MemoryView.memoryview.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF(__pyx_v_struct); __Pyx_XDECREF(__pyx_v_bytesitem); __Pyx_XDECREF(__pyx_v_result); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":458 * return result * * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" */ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value) { PyObject *__pyx_v_struct = NULL; char __pyx_v_c; PyObject *__pyx_v_bytesvalue = 0; Py_ssize_t __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_t_2; int __pyx_t_3; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; Py_ssize_t __pyx_t_7; PyObject *__pyx_t_8 = NULL; char *__pyx_t_9; char *__pyx_t_10; char *__pyx_t_11; char *__pyx_t_12; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("assign_item_from_object", 0); /* "View.MemoryView":461 * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" * import struct # <<<<<<<<<<<<<< * cdef char c * cdef bytes bytesvalue */ __pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__struct), 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 461; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_v_struct = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":466 * cdef Py_ssize_t i * * if isinstance(value, tuple): # <<<<<<<<<<<<<< * bytesvalue = struct.pack(self.view.format, *value) * else: */ __pyx_t_2 = PyTuple_Check(__pyx_v_value); __pyx_t_3 = (__pyx_t_2 != 0); if (__pyx_t_3) { /* "View.MemoryView":467 * * if isinstance(value, tuple): * bytesvalue = struct.pack(self.view.format, *value) # <<<<<<<<<<<<<< * else: * bytesvalue = struct.pack(self.view.format, value) */ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s__pack); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_4 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_5, 0, ((PyObject *)__pyx_t_4)); __Pyx_GIVEREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_t_4 = PySequence_Tuple(__pyx_v_value); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __pyx_t_6 = PyNumber_Add(((PyObject *)__pyx_t_5), ((PyObject *)__pyx_t_4)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_6)); __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_t_4 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_6), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0; if (!(likely(PyBytes_CheckExact(__pyx_t_4))||((__pyx_t_4) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected bytes, got %.200s", Py_TYPE(__pyx_t_4)->tp_name), 0))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_bytesvalue = ((PyObject*)__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":469 * bytesvalue = struct.pack(self.view.format, *value) * else: * bytesvalue = struct.pack(self.view.format, value) # <<<<<<<<<<<<<< * * for i, c in enumerate(bytesvalue): */ __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s__pack); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_6 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_6)); __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_t_6)); __Pyx_GIVEREF(((PyObject *)__pyx_t_6)); __Pyx_INCREF(__pyx_v_value); PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_value); __Pyx_GIVEREF(__pyx_v_value); __pyx_t_6 = 0; __pyx_t_6 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; if (!(likely(PyBytes_CheckExact(__pyx_t_6))||((__pyx_t_6) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected bytes, got %.200s", Py_TYPE(__pyx_t_6)->tp_name), 0))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_bytesvalue = ((PyObject*)__pyx_t_6); __pyx_t_6 = 0; } __pyx_L3:; /* "View.MemoryView":471 * bytesvalue = struct.pack(self.view.format, value) * * for i, c in enumerate(bytesvalue): # <<<<<<<<<<<<<< * itemp[i] = c * */ __pyx_t_7 = 0; if (unlikely(((PyObject *)__pyx_v_bytesvalue) == Py_None)) { PyErr_SetString(PyExc_TypeError, "'NoneType' is not iterable"); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 471; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __Pyx_INCREF(((PyObject *)__pyx_v_bytesvalue)); __pyx_t_8 = __pyx_v_bytesvalue; __pyx_t_10 = PyBytes_AS_STRING(__pyx_t_8); __pyx_t_11 = (__pyx_t_10 + PyBytes_GET_SIZE(__pyx_t_8)); for (__pyx_t_12 = __pyx_t_10; __pyx_t_12 < __pyx_t_11; __pyx_t_12++) { __pyx_t_9 = __pyx_t_12; __pyx_v_c = (__pyx_t_9[0]); /* "View.MemoryView":472 * * for i, c in enumerate(bytesvalue): * itemp[i] = c # <<<<<<<<<<<<<< * * @cname('getbuffer') */ __pyx_v_i = __pyx_t_7; /* "View.MemoryView":471 * bytesvalue = struct.pack(self.view.format, value) * * for i, c in enumerate(bytesvalue): # <<<<<<<<<<<<<< * itemp[i] = c * */ __pyx_t_7 = (__pyx_t_7 + 1); /* "View.MemoryView":472 * * for i, c in enumerate(bytesvalue): * itemp[i] = c # <<<<<<<<<<<<<< * * @cname('getbuffer') */ (__pyx_v_itemp[__pyx_v_i]) = __pyx_v_c; } __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(((PyObject *)__pyx_t_8)); __Pyx_AddTraceback("View.MemoryView.memoryview.assign_item_from_object", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF(__pyx_v_struct); __Pyx_XDECREF(__pyx_v_bytesvalue); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); __pyx_r = __pyx_memoryview_getbuffer_MemoryView_10memoryview_8__getbuffer__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":475 * * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< * if flags & PyBUF_STRIDES: * info.shape = self.view.shape */ static int __pyx_memoryview_getbuffer_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; Py_ssize_t *__pyx_t_2; char *__pyx_t_3; void *__pyx_t_4; int __pyx_t_5; Py_ssize_t __pyx_t_6; __Pyx_RefNannySetupContext("__getbuffer__", 0); if (__pyx_v_info != NULL) { __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); } /* "View.MemoryView":476 * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< * info.shape = self.view.shape * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_STRIDES) != 0); if (__pyx_t_1) { /* "View.MemoryView":477 * def __getbuffer__(self, Py_buffer *info, int flags): * if flags & PyBUF_STRIDES: * info.shape = self.view.shape # <<<<<<<<<<<<<< * else: * info.shape = NULL */ __pyx_t_2 = __pyx_v_self->view.shape; __pyx_v_info->shape = __pyx_t_2; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":479 * info.shape = self.view.shape * else: * info.shape = NULL # <<<<<<<<<<<<<< * * if flags & PyBUF_STRIDES: */ __pyx_v_info->shape = NULL; } __pyx_L3:; /* "View.MemoryView":481 * info.shape = NULL * * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< * info.strides = self.view.strides * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_STRIDES) != 0); if (__pyx_t_1) { /* "View.MemoryView":482 * * if flags & PyBUF_STRIDES: * info.strides = self.view.strides # <<<<<<<<<<<<<< * else: * info.strides = NULL */ __pyx_t_2 = __pyx_v_self->view.strides; __pyx_v_info->strides = __pyx_t_2; goto __pyx_L4; } /*else*/ { /* "View.MemoryView":484 * info.strides = self.view.strides * else: * info.strides = NULL # <<<<<<<<<<<<<< * * if flags & PyBUF_INDIRECT: */ __pyx_v_info->strides = NULL; } __pyx_L4:; /* "View.MemoryView":486 * info.strides = NULL * * if flags & PyBUF_INDIRECT: # <<<<<<<<<<<<<< * info.suboffsets = self.view.suboffsets * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_INDIRECT) != 0); if (__pyx_t_1) { /* "View.MemoryView":487 * * if flags & PyBUF_INDIRECT: * info.suboffsets = self.view.suboffsets # <<<<<<<<<<<<<< * else: * info.suboffsets = NULL */ __pyx_t_2 = __pyx_v_self->view.suboffsets; __pyx_v_info->suboffsets = __pyx_t_2; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":489 * info.suboffsets = self.view.suboffsets * else: * info.suboffsets = NULL # <<<<<<<<<<<<<< * * if flags & PyBUF_FORMAT: */ __pyx_v_info->suboffsets = NULL; } __pyx_L5:; /* "View.MemoryView":491 * info.suboffsets = NULL * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * info.format = self.view.format * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); if (__pyx_t_1) { /* "View.MemoryView":492 * * if flags & PyBUF_FORMAT: * info.format = self.view.format # <<<<<<<<<<<<<< * else: * info.format = NULL */ __pyx_t_3 = __pyx_v_self->view.format; __pyx_v_info->format = __pyx_t_3; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":494 * info.format = self.view.format * else: * info.format = NULL # <<<<<<<<<<<<<< * * info.buf = self.view.buf */ __pyx_v_info->format = NULL; } __pyx_L6:; /* "View.MemoryView":496 * info.format = NULL * * info.buf = self.view.buf # <<<<<<<<<<<<<< * info.ndim = self.view.ndim * info.itemsize = self.view.itemsize */ __pyx_t_4 = __pyx_v_self->view.buf; __pyx_v_info->buf = __pyx_t_4; /* "View.MemoryView":497 * * info.buf = self.view.buf * info.ndim = self.view.ndim # <<<<<<<<<<<<<< * info.itemsize = self.view.itemsize * info.len = self.view.len */ __pyx_t_5 = __pyx_v_self->view.ndim; __pyx_v_info->ndim = __pyx_t_5; /* "View.MemoryView":498 * info.buf = self.view.buf * info.ndim = self.view.ndim * info.itemsize = self.view.itemsize # <<<<<<<<<<<<<< * info.len = self.view.len * info.readonly = 0 */ __pyx_t_6 = __pyx_v_self->view.itemsize; __pyx_v_info->itemsize = __pyx_t_6; /* "View.MemoryView":499 * info.ndim = self.view.ndim * info.itemsize = self.view.itemsize * info.len = self.view.len # <<<<<<<<<<<<<< * info.readonly = 0 * info.obj = self */ __pyx_t_6 = __pyx_v_self->view.len; __pyx_v_info->len = __pyx_t_6; /* "View.MemoryView":500 * info.itemsize = self.view.itemsize * info.len = self.view.len * info.readonly = 0 # <<<<<<<<<<<<<< * info.obj = self * */ __pyx_v_info->readonly = 0; /* "View.MemoryView":501 * info.len = self.view.len * info.readonly = 0 * info.obj = self # <<<<<<<<<<<<<< * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") */ __Pyx_INCREF(((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); __pyx_r = 0; if (__pyx_v_info != NULL && __pyx_v_info->obj == Py_None) { __Pyx_GOTREF(Py_None); __Pyx_DECREF(Py_None); __pyx_v_info->obj = NULL; } __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_transpose(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_transpose(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_transpose_MemoryView_10memoryview_1T___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":508 * property T: * @cname('__pyx_memoryview_transpose') * def __get__(self): # <<<<<<<<<<<<<< * cdef _memoryviewslice result = memoryview_copy(self) * transpose_memslice(&result.from_slice) */ static PyObject *__pyx_memoryview_transpose_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self) { struct __pyx_memoryviewslice_obj *__pyx_v_result = 0; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_t_2; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":509 * @cname('__pyx_memoryview_transpose') * def __get__(self): * cdef _memoryviewslice result = memoryview_copy(self) # <<<<<<<<<<<<<< * transpose_memslice(&result.from_slice) * return result */ __pyx_t_1 = __pyx_memoryview_copy_object(__pyx_v_self); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 509; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_memoryviewslice_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 509; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_result = ((struct __pyx_memoryviewslice_obj *)__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":510 * def __get__(self): * cdef _memoryviewslice result = memoryview_copy(self) * transpose_memslice(&result.from_slice) # <<<<<<<<<<<<<< * return result * */ __pyx_t_2 = __pyx_memslice_transpose((&__pyx_v_result->from_slice)); if (unlikely(__pyx_t_2 == 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 510; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":511 * cdef _memoryviewslice result = memoryview_copy(self) * transpose_memslice(&result.from_slice) * return result # <<<<<<<<<<<<<< * * property base: */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_result)); __pyx_r = ((PyObject *)__pyx_v_result); goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.T.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_result); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview__get__base(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview__get__base(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview__get__base_MemoryView_10memoryview_4base___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":515 * property base: * @cname('__pyx_memoryview__get__base') * def __get__(self): # <<<<<<<<<<<<<< * return self.obj * */ static PyObject *__pyx_memoryview__get__base_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":516 * @cname('__pyx_memoryview__get__base') * def __get__(self): * return self.obj # <<<<<<<<<<<<<< * * property shape: */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_self->obj); __pyx_r = __pyx_v_self->obj; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_shape(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_shape(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_shape_MemoryView_10memoryview_5shape___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":520 * property shape: * @cname('__pyx_memoryview_get_shape') * def __get__(self): # <<<<<<<<<<<<<< * return tuple([self.view.shape[i] for i in xrange(self.view.ndim)]) * */ static PyObject *__pyx_memoryview_get_shape_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self) { int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_t_2; int __pyx_t_3; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":521 * @cname('__pyx_memoryview_get_shape') * def __get__(self): * return tuple([self.view.shape[i] for i in xrange(self.view.ndim)]) # <<<<<<<<<<<<<< * * property strides: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __pyx_v_self->view.ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; __pyx_t_4 = PyInt_FromSsize_t((__pyx_v_self->view.shape[__pyx_v_i])); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_4))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; } __pyx_t_4 = ((PyObject *)PyList_AsTuple(((PyObject*)__pyx_t_1))); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_r = ((PyObject *)__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.memoryview.shape.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_strides(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_strides(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_strides_MemoryView_10memoryview_7strides___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":525 * property strides: * @cname('__pyx_memoryview_get_strides') * def __get__(self): # <<<<<<<<<<<<<< * if self.view.strides == NULL: * */ static PyObject *__pyx_memoryview_get_strides_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self) { int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_t_3; int __pyx_t_4; PyObject *__pyx_t_5 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":526 * @cname('__pyx_memoryview_get_strides') * def __get__(self): * if self.view.strides == NULL: # <<<<<<<<<<<<<< * * raise ValueError("Buffer view does not expose strides") */ __pyx_t_1 = ((__pyx_v_self->view.strides == NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":528 * if self.view.strides == NULL: * * raise ValueError("Buffer view does not expose strides") # <<<<<<<<<<<<<< * * return tuple([self.view.strides[i] for i in xrange(self.view.ndim)]) */ __pyx_t_2 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_38), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 528; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_Raise(__pyx_t_2, 0, 0, 0); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 528; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":530 * raise ValueError("Buffer view does not expose strides") * * return tuple([self.view.strides[i] for i in xrange(self.view.ndim)]) # <<<<<<<<<<<<<< * * property suboffsets: */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 530; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __pyx_v_self->view.ndim; for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_i = __pyx_t_4; __pyx_t_5 = PyInt_FromSsize_t((__pyx_v_self->view.strides[__pyx_v_i])); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 530; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); if (unlikely(__Pyx_ListComp_Append(__pyx_t_2, (PyObject*)__pyx_t_5))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 530; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; } __pyx_t_5 = ((PyObject *)PyList_AsTuple(((PyObject*)__pyx_t_2))); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 530; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_r = ((PyObject *)__pyx_t_5); __pyx_t_5 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.memoryview.strides.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_suboffsets(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_suboffsets(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_suboffsets_MemoryView_10memoryview_10suboffsets___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":534 * property suboffsets: * @cname('__pyx_memoryview_get_suboffsets') * def __get__(self): # <<<<<<<<<<<<<< * if self.view.suboffsets == NULL: * return [-1] * self.view.ndim */ static PyObject *__pyx_memoryview_get_suboffsets_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self) { int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_t_3; int __pyx_t_4; PyObject *__pyx_t_5 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":535 * @cname('__pyx_memoryview_get_suboffsets') * def __get__(self): * if self.view.suboffsets == NULL: # <<<<<<<<<<<<<< * return [-1] * self.view.ndim * */ __pyx_t_1 = ((__pyx_v_self->view.suboffsets == NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":536 * def __get__(self): * if self.view.suboffsets == NULL: * return [-1] * self.view.ndim # <<<<<<<<<<<<<< * * return tuple([self.view.suboffsets[i] for i in xrange(self.view.ndim)]) */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = PyList_New(1 * ((__pyx_v_self->view.ndim<0) ? 0:__pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 536; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); { Py_ssize_t __pyx_temp; for (__pyx_temp=0; __pyx_temp < __pyx_v_self->view.ndim; __pyx_temp++) { __Pyx_INCREF(__pyx_int_neg_1); PyList_SET_ITEM(__pyx_t_2, __pyx_temp, __pyx_int_neg_1); __Pyx_GIVEREF(__pyx_int_neg_1); } } __pyx_r = ((PyObject *)__pyx_t_2); __pyx_t_2 = 0; goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":538 * return [-1] * self.view.ndim * * return tuple([self.view.suboffsets[i] for i in xrange(self.view.ndim)]) # <<<<<<<<<<<<<< * * property ndim: */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 538; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __pyx_v_self->view.ndim; for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_i = __pyx_t_4; __pyx_t_5 = PyInt_FromSsize_t((__pyx_v_self->view.suboffsets[__pyx_v_i])); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 538; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); if (unlikely(__Pyx_ListComp_Append(__pyx_t_2, (PyObject*)__pyx_t_5))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 538; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; } __pyx_t_5 = ((PyObject *)PyList_AsTuple(((PyObject*)__pyx_t_2))); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 538; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_r = ((PyObject *)__pyx_t_5); __pyx_t_5 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.memoryview.suboffsets.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_ndim(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_ndim(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_ndim_MemoryView_10memoryview_4ndim___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":542 * property ndim: * @cname('__pyx_memoryview_get_ndim') * def __get__(self): # <<<<<<<<<<<<<< * return self.view.ndim * */ static PyObject *__pyx_memoryview_get_ndim_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":543 * @cname('__pyx_memoryview_get_ndim') * def __get__(self): * return self.view.ndim # <<<<<<<<<<<<<< * * property itemsize: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyInt_FromLong(__pyx_v_self->view.ndim); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 543; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.ndim.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_itemsize(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_itemsize(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_itemsize_MemoryView_10memoryview_8itemsize___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":547 * property itemsize: * @cname('__pyx_memoryview_get_itemsize') * def __get__(self): # <<<<<<<<<<<<<< * return self.view.itemsize * */ static PyObject *__pyx_memoryview_get_itemsize_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":548 * @cname('__pyx_memoryview_get_itemsize') * def __get__(self): * return self.view.itemsize # <<<<<<<<<<<<<< * * property nbytes: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyInt_FromSsize_t(__pyx_v_self->view.itemsize); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 548; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.itemsize.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_nbytes(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_nbytes(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_nbytes_MemoryView_10memoryview_6nbytes___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":552 * property nbytes: * @cname('__pyx_memoryview_get_nbytes') * def __get__(self): # <<<<<<<<<<<<<< * return self.size * self.view.itemsize * */ static PyObject *__pyx_memoryview_get_nbytes_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":553 * @cname('__pyx_memoryview_get_nbytes') * def __get__(self): * return self.size * self.view.itemsize # <<<<<<<<<<<<<< * * property size: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__size); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 553; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_self->view.itemsize); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 553; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyNumber_Multiply(__pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 553; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_r = __pyx_t_3; __pyx_t_3 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.memoryview.nbytes.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_size(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_size(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_size_MemoryView_10memoryview_4size___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":557 * property size: * @cname('__pyx_memoryview_get_size') * def __get__(self): # <<<<<<<<<<<<<< * if self._size is None: * result = 1 */ static PyObject *__pyx_memoryview_get_size_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_v_result = NULL; PyObject *__pyx_v_length = NULL; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; Py_ssize_t __pyx_t_5; PyObject *(*__pyx_t_6)(PyObject *); int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":558 * @cname('__pyx_memoryview_get_size') * def __get__(self): * if self._size is None: # <<<<<<<<<<<<<< * result = 1 * */ __pyx_t_1 = (__pyx_v_self->_size == Py_None); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":559 * def __get__(self): * if self._size is None: * result = 1 # <<<<<<<<<<<<<< * * for length in self.shape: */ __Pyx_INCREF(__pyx_int_1); __pyx_v_result = __pyx_int_1; /* "View.MemoryView":561 * result = 1 * * for length in self.shape: # <<<<<<<<<<<<<< * result *= length * */ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__shape); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (PyList_CheckExact(__pyx_t_3) || PyTuple_CheckExact(__pyx_t_3)) { __pyx_t_4 = __pyx_t_3; __Pyx_INCREF(__pyx_t_4); __pyx_t_5 = 0; __pyx_t_6 = NULL; } else { __pyx_t_5 = -1; __pyx_t_4 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_6 = Py_TYPE(__pyx_t_4)->tp_iternext; } __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; for (;;) { if (!__pyx_t_6 && PyList_CheckExact(__pyx_t_4)) { if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_4)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_3 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else if (!__pyx_t_6 && PyTuple_CheckExact(__pyx_t_4)) { if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_4)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else { __pyx_t_3 = __pyx_t_6(__pyx_t_4); if (unlikely(!__pyx_t_3)) { if (PyErr_Occurred()) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear(); else {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } break; } __Pyx_GOTREF(__pyx_t_3); } __Pyx_XDECREF(__pyx_v_length); __pyx_v_length = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":562 * * for length in self.shape: * result *= length # <<<<<<<<<<<<<< * * self._size = result */ __pyx_t_3 = PyNumber_InPlaceMultiply(__pyx_v_result, __pyx_v_length); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 562; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_v_result); __pyx_v_result = __pyx_t_3; __pyx_t_3 = 0; } __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; /* "View.MemoryView":564 * result *= length * * self._size = result # <<<<<<<<<<<<<< * * return self._size */ __Pyx_INCREF(__pyx_v_result); __Pyx_GIVEREF(__pyx_v_result); __Pyx_GOTREF(__pyx_v_self->_size); __Pyx_DECREF(__pyx_v_self->_size); __pyx_v_self->_size = __pyx_v_result; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":566 * self._size = result * * return self._size # <<<<<<<<<<<<<< * * def __len__(self): */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_self->_size); __pyx_r = __pyx_v_self->_size; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.memoryview.size.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF(__pyx_v_result); __Pyx_XDECREF(__pyx_v_length); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static Py_ssize_t __pyx_memoryview___len__(PyObject *__pyx_v_self); /*proto*/ static Py_ssize_t __pyx_memoryview___len__(PyObject *__pyx_v_self) { Py_ssize_t __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__len__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_10__len__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":568 * return self._size * * def __len__(self): # <<<<<<<<<<<<<< * if self.view.ndim >= 1: * return self.view.shape[0] */ static Py_ssize_t __pyx_memoryview_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self) { Py_ssize_t __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("__len__", 0); /* "View.MemoryView":569 * * def __len__(self): * if self.view.ndim >= 1: # <<<<<<<<<<<<<< * return self.view.shape[0] * */ __pyx_t_1 = ((__pyx_v_self->view.ndim >= 1) != 0); if (__pyx_t_1) { /* "View.MemoryView":570 * def __len__(self): * if self.view.ndim >= 1: * return self.view.shape[0] # <<<<<<<<<<<<<< * * return 0 */ __pyx_r = (__pyx_v_self->view.shape[0]); goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":572 * return self.view.shape[0] * * return 0 # <<<<<<<<<<<<<< * * def __repr__(self): */ __pyx_r = 0; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview___repr__(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview___repr__(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__repr__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_12__repr__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":574 * return 0 * * def __repr__(self): # <<<<<<<<<<<<<< * return "" % (self.base.__class__.__name__, * id(self)) */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__repr__", 0); /* "View.MemoryView":575 * * def __repr__(self): * return "" % (self.base.__class__.__name__, # <<<<<<<<<<<<<< * id(self)) * */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__base); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s____class__); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s____name__); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; /* "View.MemoryView":576 * def __repr__(self): * return "" % (self.base.__class__.__name__, * id(self)) # <<<<<<<<<<<<<< * * def __str__(self): */ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 576; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)__pyx_v_self)); PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); __pyx_t_3 = PyObject_Call(__pyx_builtin_id, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 576; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_1 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_39), ((PyObject *)__pyx_t_2)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_r = ((PyObject *)__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.memoryview.__repr__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview___str__(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview___str__(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__str__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_14__str__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":578 * id(self)) * * def __str__(self): # <<<<<<<<<<<<<< * return "" % (self.base.__class__.__name__,) * */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__str__", 0); /* "View.MemoryView":579 * * def __str__(self): * return "" % (self.base.__class__.__name__,) # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__base); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s____class__); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s____name__); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_40), ((PyObject *)__pyx_t_2)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_r = ((PyObject *)__pyx_t_1); __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.memoryview.__str__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_is_c_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ static PyObject *__pyx_memoryview_is_c_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("is_c_contig (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_16is_c_contig(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":582 * * * def is_c_contig(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_memviewslice *__pyx_v_mslice; __Pyx_memviewslice __pyx_v_tmp; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("is_c_contig", 0); /* "View.MemoryView":584 * def is_c_contig(self): * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) # <<<<<<<<<<<<<< * return slice_is_contig(mslice, 'C', self.view.ndim) * */ __pyx_v_mslice = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_self, (&__pyx_v_tmp)); /* "View.MemoryView":585 * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) * return slice_is_contig(mslice, 'C', self.view.ndim) # <<<<<<<<<<<<<< * * def is_f_contig(self): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyBool_FromLong(__pyx_memviewslice_is_contig(__pyx_v_mslice, 'C', __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 585; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.is_c_contig", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_is_f_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ static PyObject *__pyx_memoryview_is_f_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("is_f_contig (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_18is_f_contig(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":587 * return slice_is_contig(mslice, 'C', self.view.ndim) * * def is_f_contig(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_memviewslice *__pyx_v_mslice; __Pyx_memviewslice __pyx_v_tmp; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("is_f_contig", 0); /* "View.MemoryView":589 * def is_f_contig(self): * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) # <<<<<<<<<<<<<< * return slice_is_contig(mslice, 'F', self.view.ndim) * */ __pyx_v_mslice = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_self, (&__pyx_v_tmp)); /* "View.MemoryView":590 * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) * return slice_is_contig(mslice, 'F', self.view.ndim) # <<<<<<<<<<<<<< * * def copy(self): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyBool_FromLong(__pyx_memviewslice_is_contig(__pyx_v_mslice, 'F', __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 590; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.is_f_contig", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_copy(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ static PyObject *__pyx_memoryview_copy(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("copy (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_20copy(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":592 * return slice_is_contig(mslice, 'F', self.view.ndim) * * def copy(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice mslice * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_memviewslice __pyx_v_mslice; int __pyx_v_flags; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_memviewslice __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("copy", 0); /* "View.MemoryView":594 * def copy(self): * cdef __Pyx_memviewslice mslice * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS # <<<<<<<<<<<<<< * * slice_copy(self, &mslice) */ __pyx_v_flags = (__pyx_v_self->flags & (~PyBUF_F_CONTIGUOUS)); /* "View.MemoryView":596 * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS * * slice_copy(self, &mslice) # <<<<<<<<<<<<<< * mslice = slice_copy_contig(&mslice, "c", self.view.ndim, * self.view.itemsize, */ __pyx_memoryview_slice_copy(__pyx_v_self, (&__pyx_v_mslice)); /* "View.MemoryView":600 * self.view.itemsize, * flags|PyBUF_C_CONTIGUOUS, * self.dtype_is_object) # <<<<<<<<<<<<<< * * return memoryview_copy_from_slice(self, &mslice) */ __pyx_t_1 = __pyx_memoryview_copy_new_contig((&__pyx_v_mslice), __pyx_k__c, __pyx_v_self->view.ndim, __pyx_v_self->view.itemsize, (__pyx_v_flags | PyBUF_C_CONTIGUOUS), __pyx_v_self->dtype_is_object); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 597; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_mslice = __pyx_t_1; /* "View.MemoryView":602 * self.dtype_is_object) * * return memoryview_copy_from_slice(self, &mslice) # <<<<<<<<<<<<<< * * def copy_fortran(self): */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = __pyx_memoryview_copy_object_from_slice(__pyx_v_self, (&__pyx_v_mslice)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 602; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.memoryview.copy", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_copy_fortran(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ static PyObject *__pyx_memoryview_copy_fortran(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("copy_fortran (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_22copy_fortran(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":604 * return memoryview_copy_from_slice(self, &mslice) * * def copy_fortran(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice src, dst * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_memviewslice __pyx_v_src; __Pyx_memviewslice __pyx_v_dst; int __pyx_v_flags; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_memviewslice __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("copy_fortran", 0); /* "View.MemoryView":606 * def copy_fortran(self): * cdef __Pyx_memviewslice src, dst * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS # <<<<<<<<<<<<<< * * slice_copy(self, &src) */ __pyx_v_flags = (__pyx_v_self->flags & (~PyBUF_C_CONTIGUOUS)); /* "View.MemoryView":608 * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS * * slice_copy(self, &src) # <<<<<<<<<<<<<< * dst = slice_copy_contig(&src, "fortran", self.view.ndim, * self.view.itemsize, */ __pyx_memoryview_slice_copy(__pyx_v_self, (&__pyx_v_src)); /* "View.MemoryView":612 * self.view.itemsize, * flags|PyBUF_F_CONTIGUOUS, * self.dtype_is_object) # <<<<<<<<<<<<<< * * return memoryview_copy_from_slice(self, &dst) */ __pyx_t_1 = __pyx_memoryview_copy_new_contig((&__pyx_v_src), __pyx_k__fortran, __pyx_v_self->view.ndim, __pyx_v_self->view.itemsize, (__pyx_v_flags | PyBUF_F_CONTIGUOUS), __pyx_v_self->dtype_is_object); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 609; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_dst = __pyx_t_1; /* "View.MemoryView":614 * self.dtype_is_object) * * return memoryview_copy_from_slice(self, &dst) # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = __pyx_memoryview_copy_object_from_slice(__pyx_v_self, (&__pyx_v_dst)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 614; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.memoryview.copy_fortran", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":618 * * @cname('__pyx_memoryview_new') * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): # <<<<<<<<<<<<<< * cdef memoryview result = memoryview(o, flags, dtype_is_object) * result.typeinfo = typeinfo */ static PyObject *__pyx_memoryview_new(PyObject *__pyx_v_o, int __pyx_v_flags, int __pyx_v_dtype_is_object, __Pyx_TypeInfo *__pyx_v_typeinfo) { struct __pyx_memoryview_obj *__pyx_v_result = 0; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memoryview_cwrapper", 0); /* "View.MemoryView":619 * @cname('__pyx_memoryview_new') * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): * cdef memoryview result = memoryview(o, flags, dtype_is_object) # <<<<<<<<<<<<<< * result.typeinfo = typeinfo * return result */ __pyx_t_1 = PyInt_FromLong(__pyx_v_flags); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 619; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_dtype_is_object); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 619; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 619; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(__pyx_v_o); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_o); __Pyx_GIVEREF(__pyx_v_o); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_1 = 0; __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(((PyObject *)((PyObject *)__pyx_memoryview_type)), ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 619; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_v_result = ((struct __pyx_memoryview_obj *)__pyx_t_2); __pyx_t_2 = 0; /* "View.MemoryView":620 * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): * cdef memoryview result = memoryview(o, flags, dtype_is_object) * result.typeinfo = typeinfo # <<<<<<<<<<<<<< * return result * */ __pyx_v_result->typeinfo = __pyx_v_typeinfo; /* "View.MemoryView":621 * cdef memoryview result = memoryview(o, flags, dtype_is_object) * result.typeinfo = typeinfo * return result # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_check') */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_result)); __pyx_r = ((PyObject *)__pyx_v_result); goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.memoryview_cwrapper", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_result); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":624 * * @cname('__pyx_memoryview_check') * cdef inline bint memoryview_check(object o): # <<<<<<<<<<<<<< * return isinstance(o, memoryview) * */ static CYTHON_INLINE int __pyx_memoryview_check(PyObject *__pyx_v_o) { int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("memoryview_check", 0); /* "View.MemoryView":625 * @cname('__pyx_memoryview_check') * cdef inline bint memoryview_check(object o): * return isinstance(o, memoryview) # <<<<<<<<<<<<<< * * cdef tuple _unellipsify(object index, int ndim): */ __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_o, ((PyObject *)__pyx_memoryview_type)); __pyx_r = __pyx_t_1; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":627 * return isinstance(o, memoryview) * * cdef tuple _unellipsify(object index, int ndim): # <<<<<<<<<<<<<< * """ * Replace all ellipses with full slices and fill incomplete indices with */ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { PyObject *__pyx_v_tup = NULL; PyObject *__pyx_v_result = NULL; PyObject *__pyx_v_have_slices = NULL; int __pyx_v_seen_ellipsis; CYTHON_UNUSED PyObject *__pyx_v_idx = NULL; PyObject *__pyx_v_item = NULL; PyObject *__pyx_v_nslices = NULL; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; Py_ssize_t __pyx_t_5; PyObject *(*__pyx_t_6)(PyObject *); PyObject *__pyx_t_7 = NULL; PyObject *__pyx_t_8 = NULL; Py_ssize_t __pyx_t_9; PyObject *__pyx_t_10 = NULL; int __pyx_t_11; int __pyx_t_12; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("_unellipsify", 0); /* "View.MemoryView":632 * full slices. * """ * if not isinstance(index, tuple): # <<<<<<<<<<<<<< * tup = (index,) * else: */ __pyx_t_1 = PyTuple_Check(__pyx_v_index); __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":633 * """ * if not isinstance(index, tuple): * tup = (index,) # <<<<<<<<<<<<<< * else: * tup = index */ __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(__pyx_v_index); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_index); __Pyx_GIVEREF(__pyx_v_index); __pyx_v_tup = ((PyObject *)__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":635 * tup = (index,) * else: * tup = index # <<<<<<<<<<<<<< * * result = [] */ __Pyx_INCREF(__pyx_v_index); __pyx_v_tup = __pyx_v_index; } __pyx_L3:; /* "View.MemoryView":637 * tup = index * * result = [] # <<<<<<<<<<<<<< * have_slices = False * seen_ellipsis = False */ __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 637; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_result = ((PyObject*)__pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":638 * * result = [] * have_slices = False # <<<<<<<<<<<<<< * seen_ellipsis = False * for idx, item in enumerate(tup): */ __pyx_t_3 = __Pyx_PyBool_FromLong(0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 638; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_have_slices = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":639 * result = [] * have_slices = False * seen_ellipsis = False # <<<<<<<<<<<<<< * for idx, item in enumerate(tup): * if item is Ellipsis: */ __pyx_v_seen_ellipsis = 0; /* "View.MemoryView":640 * have_slices = False * seen_ellipsis = False * for idx, item in enumerate(tup): # <<<<<<<<<<<<<< * if item is Ellipsis: * if not seen_ellipsis: */ __Pyx_INCREF(__pyx_int_0); __pyx_t_3 = __pyx_int_0; if (PyList_CheckExact(__pyx_v_tup) || PyTuple_CheckExact(__pyx_v_tup)) { __pyx_t_4 = __pyx_v_tup; __Pyx_INCREF(__pyx_t_4); __pyx_t_5 = 0; __pyx_t_6 = NULL; } else { __pyx_t_5 = -1; __pyx_t_4 = PyObject_GetIter(__pyx_v_tup); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_6 = Py_TYPE(__pyx_t_4)->tp_iternext; } for (;;) { if (!__pyx_t_6 && PyList_CheckExact(__pyx_t_4)) { if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_4)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_7 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_7 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else if (!__pyx_t_6 && PyTuple_CheckExact(__pyx_t_4)) { if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_4)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_7 = PyTuple_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_7 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else { __pyx_t_7 = __pyx_t_6(__pyx_t_4); if (unlikely(!__pyx_t_7)) { if (PyErr_Occurred()) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear(); else {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } break; } __Pyx_GOTREF(__pyx_t_7); } __Pyx_XDECREF(__pyx_v_item); __pyx_v_item = __pyx_t_7; __pyx_t_7 = 0; __Pyx_INCREF(__pyx_t_3); __Pyx_XDECREF(__pyx_v_idx); __pyx_v_idx = __pyx_t_3; __pyx_t_7 = PyNumber_Add(__pyx_t_3, __pyx_int_1); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_7); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = __pyx_t_7; __pyx_t_7 = 0; /* "View.MemoryView":641 * seen_ellipsis = False * for idx, item in enumerate(tup): * if item is Ellipsis: # <<<<<<<<<<<<<< * if not seen_ellipsis: * result.extend([slice(None)] * (ndim - len(tup) + 1)) */ __pyx_t_2 = (__pyx_v_item == __pyx_builtin_Ellipsis); __pyx_t_1 = (__pyx_t_2 != 0); if (__pyx_t_1) { /* "View.MemoryView":642 * for idx, item in enumerate(tup): * if item is Ellipsis: * if not seen_ellipsis: # <<<<<<<<<<<<<< * result.extend([slice(None)] * (ndim - len(tup) + 1)) * seen_ellipsis = True */ __pyx_t_1 = ((!(__pyx_v_seen_ellipsis != 0)) != 0); if (__pyx_t_1) { /* "View.MemoryView":643 * if item is Ellipsis: * if not seen_ellipsis: * result.extend([slice(None)] * (ndim - len(tup) + 1)) # <<<<<<<<<<<<<< * seen_ellipsis = True * else: */ __pyx_t_7 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_result), __pyx_n_s__extend); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_7); __pyx_t_8 = PyObject_Call(((PyObject *)((PyObject*)(&PySlice_Type))), ((PyObject *)__pyx_k_tuple_41), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __pyx_t_9 = PyObject_Length(__pyx_v_tup); if (unlikely(__pyx_t_9 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_10 = PyList_New(1 * ((((__pyx_v_ndim - __pyx_t_9) + 1)<0) ? 0:((__pyx_v_ndim - __pyx_t_9) + 1))); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); { Py_ssize_t __pyx_temp; for (__pyx_temp=0; __pyx_temp < ((__pyx_v_ndim - __pyx_t_9) + 1); __pyx_temp++) { __Pyx_INCREF(__pyx_t_8); PyList_SET_ITEM(__pyx_t_10, __pyx_temp, __pyx_t_8); __Pyx_GIVEREF(__pyx_t_8); } } __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; __pyx_t_8 = PyTuple_New(1); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_8, 0, ((PyObject *)__pyx_t_10)); __Pyx_GIVEREF(((PyObject *)__pyx_t_10)); __pyx_t_10 = 0; __pyx_t_10 = PyObject_Call(__pyx_t_7, ((PyObject *)__pyx_t_8), NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; /* "View.MemoryView":644 * if not seen_ellipsis: * result.extend([slice(None)] * (ndim - len(tup) + 1)) * seen_ellipsis = True # <<<<<<<<<<<<<< * else: * result.append(slice(None)) */ __pyx_v_seen_ellipsis = 1; goto __pyx_L7; } /*else*/ { /* "View.MemoryView":646 * seen_ellipsis = True * else: * result.append(slice(None)) # <<<<<<<<<<<<<< * have_slices = True * else: */ __pyx_t_10 = PyObject_Call(((PyObject *)((PyObject*)(&PySlice_Type))), ((PyObject *)__pyx_k_tuple_42), NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 646; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __pyx_t_11 = __Pyx_PyList_Append(__pyx_v_result, __pyx_t_10); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 646; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; } __pyx_L7:; /* "View.MemoryView":647 * else: * result.append(slice(None)) * have_slices = True # <<<<<<<<<<<<<< * else: * if not isinstance(item, slice) and not PyIndex_Check(item): */ __pyx_t_10 = __Pyx_PyBool_FromLong(1); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 647; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_DECREF(__pyx_v_have_slices); __pyx_v_have_slices = __pyx_t_10; __pyx_t_10 = 0; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":649 * have_slices = True * else: * if not isinstance(item, slice) and not PyIndex_Check(item): # <<<<<<<<<<<<<< * raise TypeError("Cannot index with type '%s'" % type(item)) * */ __pyx_t_1 = PySlice_Check(__pyx_v_item); __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { __pyx_t_1 = ((!(__Pyx_PyIndex_Check(__pyx_v_item) != 0)) != 0); __pyx_t_12 = __pyx_t_1; } else { __pyx_t_12 = __pyx_t_2; } if (__pyx_t_12) { /* "View.MemoryView":650 * else: * if not isinstance(item, slice) and not PyIndex_Check(item): * raise TypeError("Cannot index with type '%s'" % type(item)) # <<<<<<<<<<<<<< * * have_slices = have_slices or isinstance(item, slice) */ __pyx_t_10 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_43), ((PyObject *)Py_TYPE(__pyx_v_item))); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_10)); __pyx_t_8 = PyTuple_New(1); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_8, 0, ((PyObject *)__pyx_t_10)); __Pyx_GIVEREF(((PyObject *)__pyx_t_10)); __pyx_t_10 = 0; __pyx_t_10 = PyObject_Call(__pyx_builtin_TypeError, ((PyObject *)__pyx_t_8), NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __Pyx_Raise(__pyx_t_10, 0, 0, 0); __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; /* "View.MemoryView":652 * raise TypeError("Cannot index with type '%s'" % type(item)) * * have_slices = have_slices or isinstance(item, slice) # <<<<<<<<<<<<<< * result.append(item) * */ __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_12 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 652; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_12) { __pyx_t_12 = PySlice_Check(__pyx_v_item); __pyx_t_10 = __Pyx_PyBool_FromLong(__pyx_t_12); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 652; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __pyx_t_8 = __pyx_t_10; __pyx_t_10 = 0; } else { __Pyx_INCREF(__pyx_v_have_slices); __pyx_t_8 = __pyx_v_have_slices; } __Pyx_DECREF(__pyx_v_have_slices); __pyx_v_have_slices = __pyx_t_8; __pyx_t_8 = 0; /* "View.MemoryView":653 * * have_slices = have_slices or isinstance(item, slice) * result.append(item) # <<<<<<<<<<<<<< * * nslices = ndim - len(result) */ __pyx_t_11 = __Pyx_PyList_Append(__pyx_v_result, __pyx_v_item); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 653; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L6:; } __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":655 * result.append(item) * * nslices = ndim - len(result) # <<<<<<<<<<<<<< * if nslices: * result.extend([slice(None)] * nslices) */ __pyx_t_5 = PyList_GET_SIZE(((PyObject *)__pyx_v_result)); if (unlikely(__pyx_t_5 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 655; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_3 = PyInt_FromSsize_t((__pyx_v_ndim - __pyx_t_5)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 655; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_nslices = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":656 * * nslices = ndim - len(result) * if nslices: # <<<<<<<<<<<<<< * result.extend([slice(None)] * nslices) * */ __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_v_nslices); if (unlikely(__pyx_t_12 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 656; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_12) { /* "View.MemoryView":657 * nslices = ndim - len(result) * if nslices: * result.extend([slice(None)] * nslices) # <<<<<<<<<<<<<< * * return have_slices or nslices, tuple(result) */ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_result), __pyx_n_s__extend); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyObject_Call(((PyObject *)((PyObject*)(&PySlice_Type))), ((PyObject *)__pyx_k_tuple_44), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_8 = PyList_New(1); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); PyList_SET_ITEM(__pyx_t_8, 0, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); { PyObject* __pyx_temp = PyNumber_InPlaceMultiply(__pyx_t_8, __pyx_v_nslices); if (unlikely(!__pyx_temp)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_temp); __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = __pyx_temp; } __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_8)); __Pyx_GIVEREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __pyx_t_8 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; goto __pyx_L9; } __pyx_L9:; /* "View.MemoryView":659 * result.extend([slice(None)] * nslices) * * return have_slices or nslices, tuple(result) # <<<<<<<<<<<<<< * * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): */ __Pyx_XDECREF(((PyObject *)__pyx_r)); __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_12 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 659; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_12) { __Pyx_INCREF(__pyx_v_nslices); __pyx_t_8 = __pyx_v_nslices; } else { __Pyx_INCREF(__pyx_v_have_slices); __pyx_t_8 = __pyx_v_have_slices; } __pyx_t_4 = ((PyObject *)PyList_AsTuple(__pyx_v_result)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 659; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 659; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_8); __Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)__pyx_t_4)); __Pyx_GIVEREF(((PyObject *)__pyx_t_4)); __pyx_t_8 = 0; __pyx_t_4 = 0; __pyx_r = ((PyObject*)__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L0; __pyx_r = ((PyObject*)Py_None); __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_7); __Pyx_XDECREF(__pyx_t_8); __Pyx_XDECREF(__pyx_t_10); __Pyx_AddTraceback("View.MemoryView._unellipsify", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF(__pyx_v_tup); __Pyx_XDECREF(__pyx_v_result); __Pyx_XDECREF(__pyx_v_have_slices); __Pyx_XDECREF(__pyx_v_idx); __Pyx_XDECREF(__pyx_v_item); __Pyx_XDECREF(__pyx_v_nslices); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":661 * return have_slices or nslices, tuple(result) * * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): # <<<<<<<<<<<<<< * cdef int i * for i in range(ndim): */ static PyObject *assert_direct_dimensions(Py_ssize_t *__pyx_v_suboffsets, int __pyx_v_ndim) { int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("assert_direct_dimensions", 0); /* "View.MemoryView":663 * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): * cdef int i * for i in range(ndim): # <<<<<<<<<<<<<< * if suboffsets[i] >= 0: * raise ValueError("Indirect dimensions not supported") */ __pyx_t_1 = __pyx_v_ndim; for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) { __pyx_v_i = __pyx_t_2; /* "View.MemoryView":664 * cdef int i * for i in range(ndim): * if suboffsets[i] >= 0: # <<<<<<<<<<<<<< * raise ValueError("Indirect dimensions not supported") * */ __pyx_t_3 = (((__pyx_v_suboffsets[__pyx_v_i]) >= 0) != 0); if (__pyx_t_3) { /* "View.MemoryView":665 * for i in range(ndim): * if suboffsets[i] >= 0: * raise ValueError("Indirect dimensions not supported") # <<<<<<<<<<<<<< * * */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_46), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 665; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 665; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; } __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.assert_direct_dimensions", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":672 * * @cname('__pyx_memview_slice') * cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<< * cdef int new_ndim = 0, suboffset_dim = -1, dim * cdef bint negative_step */ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *__pyx_v_memview, PyObject *__pyx_v_indices) { int __pyx_v_new_ndim; int __pyx_v_suboffset_dim; int __pyx_v_dim; __Pyx_memviewslice __pyx_v_src; __Pyx_memviewslice __pyx_v_dst; __Pyx_memviewslice *__pyx_v_p_src; struct __pyx_memoryviewslice_obj *__pyx_v_memviewsliceobj = 0; __Pyx_memviewslice *__pyx_v_p_dst; int *__pyx_v_p_suboffset_dim; Py_ssize_t __pyx_v_start; Py_ssize_t __pyx_v_stop; Py_ssize_t __pyx_v_step; int __pyx_v_have_start; int __pyx_v_have_stop; int __pyx_v_have_step; PyObject *__pyx_v_index = NULL; struct __pyx_memoryview_obj *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; struct __pyx_memoryview_obj *__pyx_t_3; char *__pyx_t_4; int __pyx_t_5; PyObject *__pyx_t_6 = NULL; Py_ssize_t __pyx_t_7; PyObject *(*__pyx_t_8)(PyObject *); PyObject *__pyx_t_9 = NULL; Py_ssize_t __pyx_t_10; int __pyx_t_11; PyObject *__pyx_t_12 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memview_slice", 0); /* "View.MemoryView":673 * @cname('__pyx_memview_slice') * cdef memoryview memview_slice(memoryview memview, object indices): * cdef int new_ndim = 0, suboffset_dim = -1, dim # <<<<<<<<<<<<<< * cdef bint negative_step * cdef __Pyx_memviewslice src, dst */ __pyx_v_new_ndim = 0; __pyx_v_suboffset_dim = -1; /* "View.MemoryView":680 * * * memset(&dst, 0, sizeof(dst)) # <<<<<<<<<<<<<< * * cdef _memoryviewslice memviewsliceobj */ memset((&__pyx_v_dst), 0, (sizeof(__pyx_v_dst))); /* "View.MemoryView":684 * cdef _memoryviewslice memviewsliceobj * * assert memview.view.ndim > 0 # <<<<<<<<<<<<<< * * if isinstance(memview, _memoryviewslice): */ #ifndef CYTHON_WITHOUT_ASSERTIONS if (unlikely(!((__pyx_v_memview->view.ndim > 0) != 0))) { PyErr_SetNone(PyExc_AssertionError); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 684; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } #endif /* "View.MemoryView":686 * assert memview.view.ndim > 0 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * memviewsliceobj = memview * p_src = &memviewsliceobj.from_slice */ __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), ((PyObject *)__pyx_memoryviewslice_type)); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":687 * * if isinstance(memview, _memoryviewslice): * memviewsliceobj = memview # <<<<<<<<<<<<<< * p_src = &memviewsliceobj.from_slice * else: */ if (!(likely(((((PyObject *)__pyx_v_memview)) == Py_None) || likely(__Pyx_TypeTest(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 687; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_INCREF(((PyObject *)__pyx_v_memview)); __pyx_v_memviewsliceobj = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview); /* "View.MemoryView":688 * if isinstance(memview, _memoryviewslice): * memviewsliceobj = memview * p_src = &memviewsliceobj.from_slice # <<<<<<<<<<<<<< * else: * slice_copy(memview, &src) */ __pyx_v_p_src = (&__pyx_v_memviewsliceobj->from_slice); goto __pyx_L3; } /*else*/ { /* "View.MemoryView":690 * p_src = &memviewsliceobj.from_slice * else: * slice_copy(memview, &src) # <<<<<<<<<<<<<< * p_src = &src * */ __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_src)); /* "View.MemoryView":691 * else: * slice_copy(memview, &src) * p_src = &src # <<<<<<<<<<<<<< * * */ __pyx_v_p_src = (&__pyx_v_src); } __pyx_L3:; /* "View.MemoryView":697 * * * dst.memview = p_src.memview # <<<<<<<<<<<<<< * dst.data = p_src.data * */ __pyx_t_3 = __pyx_v_p_src->memview; __pyx_v_dst.memview = __pyx_t_3; /* "View.MemoryView":698 * * dst.memview = p_src.memview * dst.data = p_src.data # <<<<<<<<<<<<<< * * */ __pyx_t_4 = __pyx_v_p_src->data; __pyx_v_dst.data = __pyx_t_4; /* "View.MemoryView":703 * * * cdef __Pyx_memviewslice *p_dst = &dst # <<<<<<<<<<<<<< * cdef int *p_suboffset_dim = &suboffset_dim * cdef Py_ssize_t start, stop, step */ __pyx_v_p_dst = (&__pyx_v_dst); /* "View.MemoryView":704 * * cdef __Pyx_memviewslice *p_dst = &dst * cdef int *p_suboffset_dim = &suboffset_dim # <<<<<<<<<<<<<< * cdef Py_ssize_t start, stop, step * cdef bint have_start, have_stop, have_step */ __pyx_v_p_suboffset_dim = (&__pyx_v_suboffset_dim); /* "View.MemoryView":708 * cdef bint have_start, have_stop, have_step * * for dim, index in enumerate(indices): # <<<<<<<<<<<<<< * if PyIndex_Check(index): * slice_memviewslice( */ __pyx_t_5 = 0; if (PyList_CheckExact(__pyx_v_indices) || PyTuple_CheckExact(__pyx_v_indices)) { __pyx_t_6 = __pyx_v_indices; __Pyx_INCREF(__pyx_t_6); __pyx_t_7 = 0; __pyx_t_8 = NULL; } else { __pyx_t_7 = -1; __pyx_t_6 = PyObject_GetIter(__pyx_v_indices); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __pyx_t_8 = Py_TYPE(__pyx_t_6)->tp_iternext; } for (;;) { if (!__pyx_t_8 && PyList_CheckExact(__pyx_t_6)) { if (__pyx_t_7 >= PyList_GET_SIZE(__pyx_t_6)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_9 = PyList_GET_ITEM(__pyx_t_6, __pyx_t_7); __Pyx_INCREF(__pyx_t_9); __pyx_t_7++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_9 = PySequence_ITEM(__pyx_t_6, __pyx_t_7); __pyx_t_7++; if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else if (!__pyx_t_8 && PyTuple_CheckExact(__pyx_t_6)) { if (__pyx_t_7 >= PyTuple_GET_SIZE(__pyx_t_6)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_9 = PyTuple_GET_ITEM(__pyx_t_6, __pyx_t_7); __Pyx_INCREF(__pyx_t_9); __pyx_t_7++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_9 = PySequence_ITEM(__pyx_t_6, __pyx_t_7); __pyx_t_7++; if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else { __pyx_t_9 = __pyx_t_8(__pyx_t_6); if (unlikely(!__pyx_t_9)) { if (PyErr_Occurred()) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear(); else {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } break; } __Pyx_GOTREF(__pyx_t_9); } __Pyx_XDECREF(__pyx_v_index); __pyx_v_index = __pyx_t_9; __pyx_t_9 = 0; __pyx_v_dim = __pyx_t_5; __pyx_t_5 = (__pyx_t_5 + 1); /* "View.MemoryView":709 * * for dim, index in enumerate(indices): * if PyIndex_Check(index): # <<<<<<<<<<<<<< * slice_memviewslice( * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], */ __pyx_t_2 = (__Pyx_PyIndex_Check(__pyx_v_index) != 0); if (__pyx_t_2) { /* "View.MemoryView":713 * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], * dim, new_ndim, p_suboffset_dim, * index, 0, 0, # start, stop, step # <<<<<<<<<<<<<< * 0, 0, 0, # have_{start,stop,step} * False) */ __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_v_index); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 713; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":715 * index, 0, 0, # start, stop, step * 0, 0, 0, # have_{start,stop,step} * False) # <<<<<<<<<<<<<< * elif index is None: * p_dst.shape[new_ndim] = 1 */ __pyx_t_11 = __pyx_memoryview_slice_memviewslice(__pyx_v_p_dst, (__pyx_v_p_src->shape[__pyx_v_dim]), (__pyx_v_p_src->strides[__pyx_v_dim]), (__pyx_v_p_src->suboffsets[__pyx_v_dim]), __pyx_v_dim, __pyx_v_new_ndim, __pyx_v_p_suboffset_dim, __pyx_t_10, 0, 0, 0, 0, 0, 0); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 710; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } /* "View.MemoryView":716 * 0, 0, 0, # have_{start,stop,step} * False) * elif index is None: # <<<<<<<<<<<<<< * p_dst.shape[new_ndim] = 1 * p_dst.strides[new_ndim] = 0 */ __pyx_t_2 = (__pyx_v_index == Py_None); __pyx_t_1 = (__pyx_t_2 != 0); if (__pyx_t_1) { /* "View.MemoryView":717 * False) * elif index is None: * p_dst.shape[new_ndim] = 1 # <<<<<<<<<<<<<< * p_dst.strides[new_ndim] = 0 * p_dst.suboffsets[new_ndim] = -1 */ (__pyx_v_p_dst->shape[__pyx_v_new_ndim]) = 1; /* "View.MemoryView":718 * elif index is None: * p_dst.shape[new_ndim] = 1 * p_dst.strides[new_ndim] = 0 # <<<<<<<<<<<<<< * p_dst.suboffsets[new_ndim] = -1 * new_ndim += 1 */ (__pyx_v_p_dst->strides[__pyx_v_new_ndim]) = 0; /* "View.MemoryView":719 * p_dst.shape[new_ndim] = 1 * p_dst.strides[new_ndim] = 0 * p_dst.suboffsets[new_ndim] = -1 # <<<<<<<<<<<<<< * new_ndim += 1 * else: */ (__pyx_v_p_dst->suboffsets[__pyx_v_new_ndim]) = -1; /* "View.MemoryView":720 * p_dst.strides[new_ndim] = 0 * p_dst.suboffsets[new_ndim] = -1 * new_ndim += 1 # <<<<<<<<<<<<<< * else: * start = index.start or 0 */ __pyx_v_new_ndim = (__pyx_v_new_ndim + 1); goto __pyx_L6; } /*else*/ { /* "View.MemoryView":722 * new_ndim += 1 * else: * start = index.start or 0 # <<<<<<<<<<<<<< * stop = index.stop or 0 * step = index.step or 0 */ __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__start); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 722; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_9); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 722; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_1) { __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __Pyx_INCREF(__pyx_int_0); __pyx_t_12 = __pyx_int_0; } else { __pyx_t_12 = __pyx_t_9; __pyx_t_9 = 0; } __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_t_12); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 722; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_start = __pyx_t_10; /* "View.MemoryView":723 * else: * start = index.start or 0 * stop = index.stop or 0 # <<<<<<<<<<<<<< * step = index.step or 0 * */ __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__stop); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 723; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_12); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_12); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 723; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_1) { __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __Pyx_INCREF(__pyx_int_0); __pyx_t_9 = __pyx_int_0; } else { __pyx_t_9 = __pyx_t_12; __pyx_t_12 = 0; } __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_t_9); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 723; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __pyx_v_stop = __pyx_t_10; /* "View.MemoryView":724 * start = index.start or 0 * stop = index.stop or 0 * step = index.step or 0 # <<<<<<<<<<<<<< * * have_start = index.start is not None */ __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__step); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 724; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_9); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 724; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_1) { __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __Pyx_INCREF(__pyx_int_0); __pyx_t_12 = __pyx_int_0; } else { __pyx_t_12 = __pyx_t_9; __pyx_t_9 = 0; } __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_t_12); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 724; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_step = __pyx_t_10; /* "View.MemoryView":726 * step = index.step or 0 * * have_start = index.start is not None # <<<<<<<<<<<<<< * have_stop = index.stop is not None * have_step = index.step is not None */ __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__start); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 726; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_12); __pyx_t_1 = (__pyx_t_12 != Py_None); __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_have_start = __pyx_t_1; /* "View.MemoryView":727 * * have_start = index.start is not None * have_stop = index.stop is not None # <<<<<<<<<<<<<< * have_step = index.step is not None * */ __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__stop); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 727; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_12); __pyx_t_1 = (__pyx_t_12 != Py_None); __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_have_stop = __pyx_t_1; /* "View.MemoryView":728 * have_start = index.start is not None * have_stop = index.stop is not None * have_step = index.step is not None # <<<<<<<<<<<<<< * * slice_memviewslice( */ __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__step); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 728; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_12); __pyx_t_1 = (__pyx_t_12 != Py_None); __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_have_step = __pyx_t_1; /* "View.MemoryView":735 * start, stop, step, * have_start, have_stop, have_step, * True) # <<<<<<<<<<<<<< * new_ndim += 1 * */ __pyx_t_11 = __pyx_memoryview_slice_memviewslice(__pyx_v_p_dst, (__pyx_v_p_src->shape[__pyx_v_dim]), (__pyx_v_p_src->strides[__pyx_v_dim]), (__pyx_v_p_src->suboffsets[__pyx_v_dim]), __pyx_v_dim, __pyx_v_new_ndim, __pyx_v_p_suboffset_dim, __pyx_v_start, __pyx_v_stop, __pyx_v_step, __pyx_v_have_start, __pyx_v_have_stop, __pyx_v_have_step, 1); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 730; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":736 * have_start, have_stop, have_step, * True) * new_ndim += 1 # <<<<<<<<<<<<<< * * if isinstance(memview, _memoryviewslice): */ __pyx_v_new_ndim = (__pyx_v_new_ndim + 1); } __pyx_L6:; } __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; /* "View.MemoryView":738 * new_ndim += 1 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * return memoryview_fromslice(dst, new_ndim, * memviewsliceobj.to_object_func, */ __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), ((PyObject *)__pyx_memoryviewslice_type)); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":739 * * if isinstance(memview, _memoryviewslice): * return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<< * memviewsliceobj.to_object_func, * memviewsliceobj.to_dtype_func, */ __Pyx_XDECREF(((PyObject *)__pyx_r)); /* "View.MemoryView":740 * if isinstance(memview, _memoryviewslice): * return memoryview_fromslice(dst, new_ndim, * memviewsliceobj.to_object_func, # <<<<<<<<<<<<<< * memviewsliceobj.to_dtype_func, * memview.dtype_is_object) */ if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 740; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } /* "View.MemoryView":742 * memviewsliceobj.to_object_func, * memviewsliceobj.to_dtype_func, * memview.dtype_is_object) # <<<<<<<<<<<<<< * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, */ __pyx_t_6 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, __pyx_v_memviewsliceobj->to_object_func, __pyx_v_memviewsliceobj->to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 739; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 739; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_6); __pyx_t_6 = 0; goto __pyx_L0; goto __pyx_L7; } /*else*/ { /* "View.MemoryView":744 * memview.dtype_is_object) * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<< * memview.dtype_is_object) * */ __Pyx_XDECREF(((PyObject *)__pyx_r)); /* "View.MemoryView":745 * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, * memview.dtype_is_object) # <<<<<<<<<<<<<< * * */ __pyx_t_6 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, NULL, NULL, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 744; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 744; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_6); __pyx_t_6 = 0; goto __pyx_L0; } __pyx_L7:; __pyx_r = ((struct __pyx_memoryview_obj *)Py_None); __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_9); __Pyx_XDECREF(__pyx_t_12); __Pyx_AddTraceback("View.MemoryView.memview_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_memviewsliceobj); __Pyx_XDECREF(__pyx_v_index); __Pyx_XGIVEREF((PyObject *)__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":769 * * @cname('__pyx_memoryview_slice_memviewslice') * cdef int slice_memviewslice( # <<<<<<<<<<<<<< * __Pyx_memviewslice *dst, * Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset, */ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, Py_ssize_t __pyx_v_shape, Py_ssize_t __pyx_v_stride, Py_ssize_t __pyx_v_suboffset, int __pyx_v_dim, int __pyx_v_new_ndim, int *__pyx_v_suboffset_dim, Py_ssize_t __pyx_v_start, Py_ssize_t __pyx_v_stop, Py_ssize_t __pyx_v_step, int __pyx_v_have_start, int __pyx_v_have_stop, int __pyx_v_have_step, int __pyx_v_is_slice) { Py_ssize_t __pyx_v_new_shape; int __pyx_v_negative_step; int __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; /* "View.MemoryView":789 * cdef bint negative_step * * if not is_slice: # <<<<<<<<<<<<<< * * if start < 0: */ __pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0); if (__pyx_t_1) { /* "View.MemoryView":791 * if not is_slice: * * if start < 0: # <<<<<<<<<<<<<< * start += shape * if not 0 <= start < shape: */ __pyx_t_1 = ((__pyx_v_start < 0) != 0); if (__pyx_t_1) { /* "View.MemoryView":792 * * if start < 0: * start += shape # <<<<<<<<<<<<<< * if not 0 <= start < shape: * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":793 * if start < 0: * start += shape * if not 0 <= start < shape: # <<<<<<<<<<<<<< * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) * else: */ __pyx_t_1 = (0 <= __pyx_v_start); if (__pyx_t_1) { __pyx_t_1 = (__pyx_v_start < __pyx_v_shape); } __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":794 * start += shape * if not 0 <= start < shape: * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<< * else: * */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, __pyx_k_47, __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":797 * else: * * negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<< * * if have_step and step == 0: */ __pyx_t_2 = (__pyx_v_have_step != 0); if (__pyx_t_2) { __pyx_t_1 = (__pyx_v_step < 0); __pyx_t_4 = __pyx_t_1; } else { __pyx_t_4 = __pyx_t_2; } __pyx_v_negative_step = __pyx_t_4; /* "View.MemoryView":799 * negative_step = have_step != 0 and step < 0 * * if have_step and step == 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) * */ if ((__pyx_v_have_step != 0)) { __pyx_t_4 = (__pyx_v_step == 0); __pyx_t_2 = __pyx_t_4; } else { __pyx_t_2 = (__pyx_v_have_step != 0); } if (__pyx_t_2) { /* "View.MemoryView":800 * * if have_step and step == 0: * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<< * * */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, __pyx_k_48, __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 800; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; /* "View.MemoryView":803 * * * if have_start: # <<<<<<<<<<<<<< * if start < 0: * start += shape */ __pyx_t_2 = (__pyx_v_have_start != 0); if (__pyx_t_2) { /* "View.MemoryView":804 * * if have_start: * if start < 0: # <<<<<<<<<<<<<< * start += shape * if start < 0: */ __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":805 * if have_start: * if start < 0: * start += shape # <<<<<<<<<<<<<< * if start < 0: * start = 0 */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); /* "View.MemoryView":806 * if start < 0: * start += shape * if start < 0: # <<<<<<<<<<<<<< * start = 0 * elif start >= shape: */ __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":807 * start += shape * if start < 0: * start = 0 # <<<<<<<<<<<<<< * elif start >= shape: * if negative_step: */ __pyx_v_start = 0; goto __pyx_L9; } __pyx_L9:; goto __pyx_L8; } /* "View.MemoryView":808 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< * if negative_step: * start = shape - 1 */ __pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":809 * start = 0 * elif start >= shape: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":810 * elif start >= shape: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< * else: * start = shape */ __pyx_v_start = (__pyx_v_shape - 1); goto __pyx_L10; } /*else*/ { /* "View.MemoryView":812 * start = shape - 1 * else: * start = shape # <<<<<<<<<<<<<< * else: * if negative_step: */ __pyx_v_start = __pyx_v_shape; } __pyx_L10:; goto __pyx_L8; } __pyx_L8:; goto __pyx_L7; } /*else*/ { /* "View.MemoryView":814 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":815 * else: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< * else: * start = 0 */ __pyx_v_start = (__pyx_v_shape - 1); goto __pyx_L11; } /*else*/ { /* "View.MemoryView":817 * start = shape - 1 * else: * start = 0 # <<<<<<<<<<<<<< * * if have_stop: */ __pyx_v_start = 0; } __pyx_L11:; } __pyx_L7:; /* "View.MemoryView":819 * start = 0 * * if have_stop: # <<<<<<<<<<<<<< * if stop < 0: * stop += shape */ __pyx_t_2 = (__pyx_v_have_stop != 0); if (__pyx_t_2) { /* "View.MemoryView":820 * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< * stop += shape * if stop < 0: */ __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":821 * if have_stop: * if stop < 0: * stop += shape # <<<<<<<<<<<<<< * if stop < 0: * stop = 0 */ __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape); /* "View.MemoryView":822 * if stop < 0: * stop += shape * if stop < 0: # <<<<<<<<<<<<<< * stop = 0 * elif stop > shape: */ __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":823 * stop += shape * if stop < 0: * stop = 0 # <<<<<<<<<<<<<< * elif stop > shape: * stop = shape */ __pyx_v_stop = 0; goto __pyx_L14; } __pyx_L14:; goto __pyx_L13; } /* "View.MemoryView":824 * if stop < 0: * stop = 0 * elif stop > shape: # <<<<<<<<<<<<<< * stop = shape * else: */ __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":825 * stop = 0 * elif stop > shape: * stop = shape # <<<<<<<<<<<<<< * else: * if negative_step: */ __pyx_v_stop = __pyx_v_shape; goto __pyx_L13; } __pyx_L13:; goto __pyx_L12; } /*else*/ { /* "View.MemoryView":827 * stop = shape * else: * if negative_step: # <<<<<<<<<<<<<< * stop = -1 * else: */ __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":828 * else: * if negative_step: * stop = -1 # <<<<<<<<<<<<<< * else: * stop = shape */ __pyx_v_stop = -1; goto __pyx_L15; } /*else*/ { /* "View.MemoryView":830 * stop = -1 * else: * stop = shape # <<<<<<<<<<<<<< * * if not have_step: */ __pyx_v_stop = __pyx_v_shape; } __pyx_L15:; } __pyx_L12:; /* "View.MemoryView":832 * stop = shape * * if not have_step: # <<<<<<<<<<<<<< * step = 1 * */ __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":833 * * if not have_step: * step = 1 # <<<<<<<<<<<<<< * * */ __pyx_v_step = 1; goto __pyx_L16; } __pyx_L16:; /* "View.MemoryView":837 * * with cython.cdivision(True): * new_shape = (stop - start) // step # <<<<<<<<<<<<<< * * if (stop - start) - step * new_shape: */ __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step); /* "View.MemoryView":839 * new_shape = (stop - start) // step * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< * new_shape += 1 * */ __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0); if (__pyx_t_2) { /* "View.MemoryView":840 * * if (stop - start) - step * new_shape: * new_shape += 1 # <<<<<<<<<<<<<< * * if new_shape < 0: */ __pyx_v_new_shape = (__pyx_v_new_shape + 1); goto __pyx_L17; } __pyx_L17:; /* "View.MemoryView":842 * new_shape += 1 * * if new_shape < 0: # <<<<<<<<<<<<<< * new_shape = 0 * */ __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":843 * * if new_shape < 0: * new_shape = 0 # <<<<<<<<<<<<<< * * */ __pyx_v_new_shape = 0; goto __pyx_L18; } __pyx_L18:; /* "View.MemoryView":846 * * * dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<< * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset */ (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step); /* "View.MemoryView":847 * * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<< * dst.suboffsets[new_ndim] = suboffset * */ (__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape; /* "View.MemoryView":848 * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<< * * */ (__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset; } __pyx_L3:; /* "View.MemoryView":851 * * * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< * dst.data += start * stride * else: */ __pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":852 * * if suboffset_dim[0] < 0: * dst.data += start * stride # <<<<<<<<<<<<<< * else: * dst.suboffsets[suboffset_dim[0]] += start * stride */ __pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride)); goto __pyx_L19; } /*else*/ { /* "View.MemoryView":854 * dst.data += start * stride * else: * dst.suboffsets[suboffset_dim[0]] += start * stride # <<<<<<<<<<<<<< * * if suboffset >= 0: */ __pyx_t_3 = (__pyx_v_suboffset_dim[0]); (__pyx_v_dst->suboffsets[__pyx_t_3]) = ((__pyx_v_dst->suboffsets[__pyx_t_3]) + (__pyx_v_start * __pyx_v_stride)); } __pyx_L19:; /* "View.MemoryView":856 * dst.suboffsets[suboffset_dim[0]] += start * stride * * if suboffset >= 0: # <<<<<<<<<<<<<< * if not is_slice: * if new_ndim == 0: */ __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":857 * * if suboffset >= 0: * if not is_slice: # <<<<<<<<<<<<<< * if new_ndim == 0: * dst.data = ( dst.data)[0] + suboffset */ __pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":858 * if suboffset >= 0: * if not is_slice: * if new_ndim == 0: # <<<<<<<<<<<<<< * dst.data = ( dst.data)[0] + suboffset * else: */ __pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":859 * if not is_slice: * if new_ndim == 0: * dst.data = ( dst.data)[0] + suboffset # <<<<<<<<<<<<<< * else: * _err_dim(IndexError, "All dimensions preceding dimension %d " */ __pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset); goto __pyx_L22; } /*else*/ { /* "View.MemoryView":862 * else: * _err_dim(IndexError, "All dimensions preceding dimension %d " * "must be indexed and not sliced", dim) # <<<<<<<<<<<<<< * else: * suboffset_dim[0] = new_ndim */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, __pyx_k_49, __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 861; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L22:; goto __pyx_L21; } /*else*/ { /* "View.MemoryView":864 * "must be indexed and not sliced", dim) * else: * suboffset_dim[0] = new_ndim # <<<<<<<<<<<<<< * * return 0 */ (__pyx_v_suboffset_dim[0]) = __pyx_v_new_ndim; } __pyx_L21:; goto __pyx_L20; } __pyx_L20:; /* "View.MemoryView":866 * suboffset_dim[0] = new_ndim * * return 0 # <<<<<<<<<<<<<< * * */ __pyx_r = 0; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_AddTraceback("View.MemoryView.slice_memviewslice", __pyx_clineno, __pyx_lineno, __pyx_filename); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } __pyx_r = -1; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":872 * * @cname('__pyx_pybuffer_index') * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, # <<<<<<<<<<<<<< * int dim) except NULL: * cdef Py_ssize_t shape, stride, suboffset = -1 */ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, Py_ssize_t __pyx_v_index, int __pyx_v_dim) { Py_ssize_t __pyx_v_shape; Py_ssize_t __pyx_v_stride; Py_ssize_t __pyx_v_suboffset; Py_ssize_t __pyx_v_itemsize; char *__pyx_v_resultp; char *__pyx_r; __Pyx_RefNannyDeclarations Py_ssize_t __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("pybuffer_index", 0); /* "View.MemoryView":874 * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, * int dim) except NULL: * cdef Py_ssize_t shape, stride, suboffset = -1 # <<<<<<<<<<<<<< * cdef Py_ssize_t itemsize = view.itemsize * cdef char *resultp */ __pyx_v_suboffset = -1; /* "View.MemoryView":875 * int dim) except NULL: * cdef Py_ssize_t shape, stride, suboffset = -1 * cdef Py_ssize_t itemsize = view.itemsize # <<<<<<<<<<<<<< * cdef char *resultp * */ __pyx_t_1 = __pyx_v_view->itemsize; __pyx_v_itemsize = __pyx_t_1; /* "View.MemoryView":878 * cdef char *resultp * * if view.ndim == 0: # <<<<<<<<<<<<<< * shape = view.len / itemsize * stride = itemsize */ __pyx_t_2 = ((__pyx_v_view->ndim == 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":879 * * if view.ndim == 0: * shape = view.len / itemsize # <<<<<<<<<<<<<< * stride = itemsize * else: */ if (unlikely(__pyx_v_itemsize == 0)) { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif PyErr_Format(PyExc_ZeroDivisionError, "integer division or modulo by zero"); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif {__pyx_filename = __pyx_f[2]; __pyx_lineno = 879; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else if (sizeof(Py_ssize_t) == sizeof(long) && unlikely(__pyx_v_itemsize == -1) && unlikely(UNARY_NEG_WOULD_OVERFLOW(__pyx_v_view->len))) { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif PyErr_Format(PyExc_OverflowError, "value too large to perform division"); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif {__pyx_filename = __pyx_f[2]; __pyx_lineno = 879; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_v_shape = __Pyx_div_Py_ssize_t(__pyx_v_view->len, __pyx_v_itemsize); /* "View.MemoryView":880 * if view.ndim == 0: * shape = view.len / itemsize * stride = itemsize # <<<<<<<<<<<<<< * else: * shape = view.shape[dim] */ __pyx_v_stride = __pyx_v_itemsize; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":882 * stride = itemsize * else: * shape = view.shape[dim] # <<<<<<<<<<<<<< * stride = view.strides[dim] * if view.suboffsets != NULL: */ __pyx_v_shape = (__pyx_v_view->shape[__pyx_v_dim]); /* "View.MemoryView":883 * else: * shape = view.shape[dim] * stride = view.strides[dim] # <<<<<<<<<<<<<< * if view.suboffsets != NULL: * suboffset = view.suboffsets[dim] */ __pyx_v_stride = (__pyx_v_view->strides[__pyx_v_dim]); /* "View.MemoryView":884 * shape = view.shape[dim] * stride = view.strides[dim] * if view.suboffsets != NULL: # <<<<<<<<<<<<<< * suboffset = view.suboffsets[dim] * */ __pyx_t_2 = ((__pyx_v_view->suboffsets != NULL) != 0); if (__pyx_t_2) { /* "View.MemoryView":885 * stride = view.strides[dim] * if view.suboffsets != NULL: * suboffset = view.suboffsets[dim] # <<<<<<<<<<<<<< * * if index < 0: */ __pyx_v_suboffset = (__pyx_v_view->suboffsets[__pyx_v_dim]); goto __pyx_L4; } __pyx_L4:; } __pyx_L3:; /* "View.MemoryView":887 * suboffset = view.suboffsets[dim] * * if index < 0: # <<<<<<<<<<<<<< * index += view.shape[dim] * if index < 0: */ __pyx_t_2 = ((__pyx_v_index < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":888 * * if index < 0: * index += view.shape[dim] # <<<<<<<<<<<<<< * if index < 0: * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) */ __pyx_v_index = (__pyx_v_index + (__pyx_v_view->shape[__pyx_v_dim])); /* "View.MemoryView":889 * if index < 0: * index += view.shape[dim] * if index < 0: # <<<<<<<<<<<<<< * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * */ __pyx_t_2 = ((__pyx_v_index < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":890 * index += view.shape[dim] * if index < 0: * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) # <<<<<<<<<<<<<< * * if index >= shape: */ __pyx_t_3 = PyInt_FromLong(__pyx_v_dim); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_50), __pyx_t_3); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_t_4)); __Pyx_GIVEREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_t_4 = PyObject_Call(__pyx_builtin_IndexError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; goto __pyx_L5; } __pyx_L5:; /* "View.MemoryView":892 * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * * if index >= shape: # <<<<<<<<<<<<<< * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * */ __pyx_t_2 = ((__pyx_v_index >= __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":893 * * if index >= shape: * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) # <<<<<<<<<<<<<< * * resultp = bufp + index * stride */ __pyx_t_4 = PyInt_FromLong(__pyx_v_dim); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_50), __pyx_t_4); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_builtin_IndexError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; /* "View.MemoryView":895 * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * * resultp = bufp + index * stride # <<<<<<<<<<<<<< * if suboffset >= 0: * resultp = ( resultp)[0] + suboffset */ __pyx_v_resultp = (__pyx_v_bufp + (__pyx_v_index * __pyx_v_stride)); /* "View.MemoryView":896 * * resultp = bufp + index * stride * if suboffset >= 0: # <<<<<<<<<<<<<< * resultp = ( resultp)[0] + suboffset * */ __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":897 * resultp = bufp + index * stride * if suboffset >= 0: * resultp = ( resultp)[0] + suboffset # <<<<<<<<<<<<<< * * return resultp */ __pyx_v_resultp = ((((char **)__pyx_v_resultp)[0]) + __pyx_v_suboffset); goto __pyx_L8; } __pyx_L8:; /* "View.MemoryView":899 * resultp = ( resultp)[0] + suboffset * * return resultp # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_resultp; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.pybuffer_index", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":905 * * @cname('__pyx_memslice_transpose') * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: # <<<<<<<<<<<<<< * cdef int ndim = memslice.memview.view.ndim * */ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { int __pyx_v_ndim; Py_ssize_t *__pyx_v_shape; Py_ssize_t *__pyx_v_strides; int __pyx_v_i; int __pyx_v_j; int __pyx_r; int __pyx_t_1; Py_ssize_t *__pyx_t_2; long __pyx_t_3; Py_ssize_t __pyx_t_4; Py_ssize_t __pyx_t_5; int __pyx_t_6; int __pyx_t_7; int __pyx_t_8; int __pyx_t_9; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; /* "View.MemoryView":906 * @cname('__pyx_memslice_transpose') * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: * cdef int ndim = memslice.memview.view.ndim # <<<<<<<<<<<<<< * * cdef Py_ssize_t *shape = memslice.shape */ __pyx_t_1 = __pyx_v_memslice->memview->view.ndim; __pyx_v_ndim = __pyx_t_1; /* "View.MemoryView":908 * cdef int ndim = memslice.memview.view.ndim * * cdef Py_ssize_t *shape = memslice.shape # <<<<<<<<<<<<<< * cdef Py_ssize_t *strides = memslice.strides * */ __pyx_t_2 = __pyx_v_memslice->shape; __pyx_v_shape = __pyx_t_2; /* "View.MemoryView":909 * * cdef Py_ssize_t *shape = memslice.shape * cdef Py_ssize_t *strides = memslice.strides # <<<<<<<<<<<<<< * * */ __pyx_t_2 = __pyx_v_memslice->strides; __pyx_v_strides = __pyx_t_2; /* "View.MemoryView":913 * * cdef int i, j * for i in range(ndim / 2): # <<<<<<<<<<<<<< * j = ndim - 1 - i * strides[i], strides[j] = strides[j], strides[i] */ __pyx_t_3 = __Pyx_div_long(__pyx_v_ndim, 2); for (__pyx_t_1 = 0; __pyx_t_1 < __pyx_t_3; __pyx_t_1+=1) { __pyx_v_i = __pyx_t_1; /* "View.MemoryView":914 * cdef int i, j * for i in range(ndim / 2): * j = ndim - 1 - i # <<<<<<<<<<<<<< * strides[i], strides[j] = strides[j], strides[i] * shape[i], shape[j] = shape[j], shape[i] */ __pyx_v_j = ((__pyx_v_ndim - 1) - __pyx_v_i); /* "View.MemoryView":915 * for i in range(ndim / 2): * j = ndim - 1 - i * strides[i], strides[j] = strides[j], strides[i] # <<<<<<<<<<<<<< * shape[i], shape[j] = shape[j], shape[i] * */ __pyx_t_4 = (__pyx_v_strides[__pyx_v_j]); __pyx_t_5 = (__pyx_v_strides[__pyx_v_i]); (__pyx_v_strides[__pyx_v_i]) = __pyx_t_4; (__pyx_v_strides[__pyx_v_j]) = __pyx_t_5; /* "View.MemoryView":916 * j = ndim - 1 - i * strides[i], strides[j] = strides[j], strides[i] * shape[i], shape[j] = shape[j], shape[i] # <<<<<<<<<<<<<< * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: */ __pyx_t_5 = (__pyx_v_shape[__pyx_v_j]); __pyx_t_4 = (__pyx_v_shape[__pyx_v_i]); (__pyx_v_shape[__pyx_v_i]) = __pyx_t_5; (__pyx_v_shape[__pyx_v_j]) = __pyx_t_4; /* "View.MemoryView":918 * shape[i], shape[j] = shape[j], shape[i] * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: # <<<<<<<<<<<<<< * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") * */ __pyx_t_6 = (((__pyx_v_memslice->suboffsets[__pyx_v_i]) >= 0) != 0); if (!__pyx_t_6) { __pyx_t_7 = (((__pyx_v_memslice->suboffsets[__pyx_v_j]) >= 0) != 0); __pyx_t_8 = __pyx_t_7; } else { __pyx_t_8 = __pyx_t_6; } if (__pyx_t_8) { /* "View.MemoryView":919 * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") # <<<<<<<<<<<<<< * * return 1 */ __pyx_t_9 = __pyx_memoryview_err(__pyx_builtin_ValueError, __pyx_k_51); if (unlikely(__pyx_t_9 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 919; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; } /* "View.MemoryView":921 * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") * * return 1 # <<<<<<<<<<<<<< * * */ __pyx_r = 1; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_AddTraceback("View.MemoryView.transpose_memslice", __pyx_clineno, __pyx_lineno, __pyx_filename); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* Python wrapper */ static void __pyx_memoryviewslice___dealloc__(PyObject *__pyx_v_self); /*proto*/ static void __pyx_memoryviewslice___dealloc__(PyObject *__pyx_v_self) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); __pyx_memoryviewslice_MemoryView_16_memoryviewslice___dealloc__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":938 * cdef int (*to_dtype_func)(char *, object) except 0 * * def __dealloc__(self): # <<<<<<<<<<<<<< * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) * */ static void __pyx_memoryviewslice_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__dealloc__", 0); /* "View.MemoryView":939 * * def __dealloc__(self): * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) # <<<<<<<<<<<<<< * * cdef convert_item_to_object(self, char *itemp): */ __PYX_XDEC_MEMVIEW((&__pyx_v_self->from_slice), 1); __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":941 * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) * * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< * if self.to_object_func != NULL: * return self.to_object_func(itemp) */ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("convert_item_to_object", 0); /* "View.MemoryView":942 * * cdef convert_item_to_object(self, char *itemp): * if self.to_object_func != NULL: # <<<<<<<<<<<<<< * return self.to_object_func(itemp) * else: */ __pyx_t_1 = ((__pyx_v_self->to_object_func != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":943 * cdef convert_item_to_object(self, char *itemp): * if self.to_object_func != NULL: * return self.to_object_func(itemp) # <<<<<<<<<<<<<< * else: * return memoryview.convert_item_to_object(self, itemp) */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = __pyx_v_self->to_object_func(__pyx_v_itemp); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 943; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":945 * return self.to_object_func(itemp) * else: * return memoryview.convert_item_to_object(self, itemp) # <<<<<<<<<<<<<< * * cdef assign_item_from_object(self, char *itemp, object value): */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = __pyx_vtabptr_memoryview->convert_item_to_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 945; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; } __pyx_L3:; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView._memoryviewslice.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":947 * return memoryview.convert_item_to_object(self, itemp) * * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< * if self.to_dtype_func != NULL: * self.to_dtype_func(itemp, value) */ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("assign_item_from_object", 0); /* "View.MemoryView":948 * * cdef assign_item_from_object(self, char *itemp, object value): * if self.to_dtype_func != NULL: # <<<<<<<<<<<<<< * self.to_dtype_func(itemp, value) * else: */ __pyx_t_1 = ((__pyx_v_self->to_dtype_func != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":949 * cdef assign_item_from_object(self, char *itemp, object value): * if self.to_dtype_func != NULL: * self.to_dtype_func(itemp, value) # <<<<<<<<<<<<<< * else: * memoryview.assign_item_from_object(self, itemp, value) */ __pyx_t_2 = __pyx_v_self->to_dtype_func(__pyx_v_itemp, __pyx_v_value); if (unlikely(__pyx_t_2 == 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 949; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } /*else*/ { /* "View.MemoryView":951 * self.to_dtype_func(itemp, value) * else: * memoryview.assign_item_from_object(self, itemp, value) # <<<<<<<<<<<<<< * * property base: */ __pyx_t_3 = __pyx_vtabptr_memoryview->assign_item_from_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 951; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } __pyx_L3:; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView._memoryviewslice.assign_item_from_object", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryviewslice__get__base(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryviewslice__get__base(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryviewslice__get__base_MemoryView_16_memoryviewslice_4base___get__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":955 * property base: * @cname('__pyx_memoryviewslice__get__base') * def __get__(self): # <<<<<<<<<<<<<< * return self.from_object * */ static PyObject *__pyx_memoryviewslice__get__base_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":956 * @cname('__pyx_memoryviewslice__get__base') * def __get__(self): * return self.from_object # <<<<<<<<<<<<<< * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_self->from_object); __pyx_r = __pyx_v_self->from_object; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":962 * * @cname('__pyx_memoryview_fromslice') * cdef memoryview_fromslice(__Pyx_memviewslice memviewslice, # <<<<<<<<<<<<<< * int ndim, * object (*to_object_func)(char *), */ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewslice, int __pyx_v_ndim, PyObject *(*__pyx_v_to_object_func)(char *), int (*__pyx_v_to_dtype_func)(char *, PyObject *), int __pyx_v_dtype_is_object) { struct __pyx_memoryviewslice_obj *__pyx_v_result = 0; int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; __Pyx_TypeInfo *__pyx_t_4; Py_buffer __pyx_t_5; Py_ssize_t __pyx_t_6; int __pyx_t_7; int __pyx_t_8; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memoryview_fromslice", 0); /* "View.MemoryView":971 * cdef int i * * if memviewslice.memview == Py_None: # <<<<<<<<<<<<<< * return None * */ __pyx_t_1 = ((((PyObject *)__pyx_v_memviewslice.memview) == Py_None) != 0); if (__pyx_t_1) { /* "View.MemoryView":972 * * if memviewslice.memview == Py_None: * return None # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(Py_None); __pyx_r = Py_None; goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":977 * * * result = _memoryviewslice(None, 0, dtype_is_object) # <<<<<<<<<<<<<< * * result.from_slice = memviewslice */ __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_dtype_is_object); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 977; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 977; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(Py_None); PyTuple_SET_ITEM(__pyx_t_3, 0, Py_None); __Pyx_GIVEREF(Py_None); __Pyx_INCREF(__pyx_int_0); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_int_0); __Pyx_GIVEREF(__pyx_int_0); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(((PyObject *)((PyObject *)__pyx_memoryviewslice_type)), ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 977; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_v_result = ((struct __pyx_memoryviewslice_obj *)__pyx_t_2); __pyx_t_2 = 0; /* "View.MemoryView":979 * result = _memoryviewslice(None, 0, dtype_is_object) * * result.from_slice = memviewslice # <<<<<<<<<<<<<< * __PYX_INC_MEMVIEW(&memviewslice, 1) * */ __pyx_v_result->from_slice = __pyx_v_memviewslice; /* "View.MemoryView":980 * * result.from_slice = memviewslice * __PYX_INC_MEMVIEW(&memviewslice, 1) # <<<<<<<<<<<<<< * * result.from_object = ( memviewslice.memview).base */ __PYX_INC_MEMVIEW((&__pyx_v_memviewslice), 1); /* "View.MemoryView":982 * __PYX_INC_MEMVIEW(&memviewslice, 1) * * result.from_object = ( memviewslice.memview).base # <<<<<<<<<<<<<< * result.typeinfo = memviewslice.memview.typeinfo * */ __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_memviewslice.memview), __pyx_n_s__base); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 982; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __Pyx_GOTREF(__pyx_v_result->from_object); __Pyx_DECREF(__pyx_v_result->from_object); __pyx_v_result->from_object = __pyx_t_2; __pyx_t_2 = 0; /* "View.MemoryView":983 * * result.from_object = ( memviewslice.memview).base * result.typeinfo = memviewslice.memview.typeinfo # <<<<<<<<<<<<<< * * result.view = memviewslice.memview.view */ __pyx_t_4 = __pyx_v_memviewslice.memview->typeinfo; __pyx_v_result->__pyx_base.typeinfo = __pyx_t_4; /* "View.MemoryView":985 * result.typeinfo = memviewslice.memview.typeinfo * * result.view = memviewslice.memview.view # <<<<<<<<<<<<<< * result.view.buf = memviewslice.data * result.view.ndim = ndim */ __pyx_t_5 = __pyx_v_memviewslice.memview->view; __pyx_v_result->__pyx_base.view = __pyx_t_5; /* "View.MemoryView":986 * * result.view = memviewslice.memview.view * result.view.buf = memviewslice.data # <<<<<<<<<<<<<< * result.view.ndim = ndim * (<__pyx_buffer *> &result.view).obj = Py_None */ __pyx_v_result->__pyx_base.view.buf = ((void *)__pyx_v_memviewslice.data); /* "View.MemoryView":987 * result.view = memviewslice.memview.view * result.view.buf = memviewslice.data * result.view.ndim = ndim # <<<<<<<<<<<<<< * (<__pyx_buffer *> &result.view).obj = Py_None * Py_INCREF(Py_None) */ __pyx_v_result->__pyx_base.view.ndim = __pyx_v_ndim; /* "View.MemoryView":988 * result.view.buf = memviewslice.data * result.view.ndim = ndim * (<__pyx_buffer *> &result.view).obj = Py_None # <<<<<<<<<<<<<< * Py_INCREF(Py_None) * */ ((Py_buffer *)(&__pyx_v_result->__pyx_base.view))->obj = Py_None; /* "View.MemoryView":989 * result.view.ndim = ndim * (<__pyx_buffer *> &result.view).obj = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< * * result.flags = PyBUF_RECORDS */ Py_INCREF(Py_None); /* "View.MemoryView":991 * Py_INCREF(Py_None) * * result.flags = PyBUF_RECORDS # <<<<<<<<<<<<<< * * result.view.shape = result.from_slice.shape */ __pyx_v_result->__pyx_base.flags = PyBUF_RECORDS; /* "View.MemoryView":993 * result.flags = PyBUF_RECORDS * * result.view.shape = result.from_slice.shape # <<<<<<<<<<<<<< * result.view.strides = result.from_slice.strides * result.view.suboffsets = result.from_slice.suboffsets */ __pyx_v_result->__pyx_base.view.shape = ((Py_ssize_t *)__pyx_v_result->from_slice.shape); /* "View.MemoryView":994 * * result.view.shape = result.from_slice.shape * result.view.strides = result.from_slice.strides # <<<<<<<<<<<<<< * result.view.suboffsets = result.from_slice.suboffsets * */ __pyx_v_result->__pyx_base.view.strides = ((Py_ssize_t *)__pyx_v_result->from_slice.strides); /* "View.MemoryView":995 * result.view.shape = result.from_slice.shape * result.view.strides = result.from_slice.strides * result.view.suboffsets = result.from_slice.suboffsets # <<<<<<<<<<<<<< * * result.view.len = result.view.itemsize */ __pyx_v_result->__pyx_base.view.suboffsets = ((Py_ssize_t *)__pyx_v_result->from_slice.suboffsets); /* "View.MemoryView":997 * result.view.suboffsets = result.from_slice.suboffsets * * result.view.len = result.view.itemsize # <<<<<<<<<<<<<< * for i in range(ndim): * result.view.len *= result.view.shape[i] */ __pyx_t_6 = __pyx_v_result->__pyx_base.view.itemsize; __pyx_v_result->__pyx_base.view.len = __pyx_t_6; /* "View.MemoryView":998 * * result.view.len = result.view.itemsize * for i in range(ndim): # <<<<<<<<<<<<<< * result.view.len *= result.view.shape[i] * */ __pyx_t_7 = __pyx_v_ndim; for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_7; __pyx_t_8+=1) { __pyx_v_i = __pyx_t_8; /* "View.MemoryView":999 * result.view.len = result.view.itemsize * for i in range(ndim): * result.view.len *= result.view.shape[i] # <<<<<<<<<<<<<< * * result.to_object_func = to_object_func */ __pyx_v_result->__pyx_base.view.len = (__pyx_v_result->__pyx_base.view.len * (__pyx_v_result->__pyx_base.view.shape[__pyx_v_i])); } /* "View.MemoryView":1001 * result.view.len *= result.view.shape[i] * * result.to_object_func = to_object_func # <<<<<<<<<<<<<< * result.to_dtype_func = to_dtype_func * */ __pyx_v_result->to_object_func = __pyx_v_to_object_func; /* "View.MemoryView":1002 * * result.to_object_func = to_object_func * result.to_dtype_func = to_dtype_func # <<<<<<<<<<<<<< * * return result */ __pyx_v_result->to_dtype_func = __pyx_v_to_dtype_func; /* "View.MemoryView":1004 * result.to_dtype_func = to_dtype_func * * return result # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_get_slice_from_memoryview') */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_result)); __pyx_r = ((PyObject *)__pyx_v_result); goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.memoryview_fromslice", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_result); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":1007 * * @cname('__pyx_memoryview_get_slice_from_memoryview') * cdef __Pyx_memviewslice *get_slice_from_memview(memoryview memview, # <<<<<<<<<<<<<< * __Pyx_memviewslice *mslice): * cdef _memoryviewslice obj */ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_mslice) { struct __pyx_memoryviewslice_obj *__pyx_v_obj = 0; __Pyx_memviewslice *__pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("get_slice_from_memview", 0); /* "View.MemoryView":1010 * __Pyx_memviewslice *mslice): * cdef _memoryviewslice obj * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * obj = memview * return &obj.from_slice */ __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), ((PyObject *)__pyx_memoryviewslice_type)); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":1011 * cdef _memoryviewslice obj * if isinstance(memview, _memoryviewslice): * obj = memview # <<<<<<<<<<<<<< * return &obj.from_slice * else: */ if (!(likely(((((PyObject *)__pyx_v_memview)) == Py_None) || likely(__Pyx_TypeTest(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1011; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_INCREF(((PyObject *)__pyx_v_memview)); __pyx_v_obj = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview); /* "View.MemoryView":1012 * if isinstance(memview, _memoryviewslice): * obj = memview * return &obj.from_slice # <<<<<<<<<<<<<< * else: * slice_copy(memview, mslice) */ __pyx_r = (&__pyx_v_obj->from_slice); goto __pyx_L0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1014 * return &obj.from_slice * else: * slice_copy(memview, mslice) # <<<<<<<<<<<<<< * return mslice * */ __pyx_memoryview_slice_copy(__pyx_v_memview, __pyx_v_mslice); /* "View.MemoryView":1015 * else: * slice_copy(memview, mslice) * return mslice # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_slice_copy') */ __pyx_r = __pyx_v_mslice; goto __pyx_L0; } __pyx_L3:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_WriteUnraisable("View.MemoryView.get_slice_from_memview", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_obj); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":1018 * * @cname('__pyx_memoryview_slice_copy') * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst): # <<<<<<<<<<<<<< * cdef int dim * cdef Py_ssize_t *shape, *strides, *suboffsets */ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_dst) { int __pyx_v_dim; Py_ssize_t *__pyx_v_shape; Py_ssize_t *__pyx_v_strides; Py_ssize_t *__pyx_v_suboffsets; __Pyx_RefNannyDeclarations Py_ssize_t *__pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; __Pyx_RefNannySetupContext("slice_copy", 0); /* "View.MemoryView":1022 * cdef Py_ssize_t *shape, *strides, *suboffsets * * shape = memview.view.shape # <<<<<<<<<<<<<< * strides = memview.view.strides * suboffsets = memview.view.suboffsets */ __pyx_t_1 = __pyx_v_memview->view.shape; __pyx_v_shape = __pyx_t_1; /* "View.MemoryView":1023 * * shape = memview.view.shape * strides = memview.view.strides # <<<<<<<<<<<<<< * suboffsets = memview.view.suboffsets * */ __pyx_t_1 = __pyx_v_memview->view.strides; __pyx_v_strides = __pyx_t_1; /* "View.MemoryView":1024 * shape = memview.view.shape * strides = memview.view.strides * suboffsets = memview.view.suboffsets # <<<<<<<<<<<<<< * * dst.memview = <__pyx_memoryview *> memview */ __pyx_t_1 = __pyx_v_memview->view.suboffsets; __pyx_v_suboffsets = __pyx_t_1; /* "View.MemoryView":1026 * suboffsets = memview.view.suboffsets * * dst.memview = <__pyx_memoryview *> memview # <<<<<<<<<<<<<< * dst.data = memview.view.buf * */ __pyx_v_dst->memview = ((struct __pyx_memoryview_obj *)__pyx_v_memview); /* "View.MemoryView":1027 * * dst.memview = <__pyx_memoryview *> memview * dst.data = memview.view.buf # <<<<<<<<<<<<<< * * for dim in range(memview.view.ndim): */ __pyx_v_dst->data = ((char *)__pyx_v_memview->view.buf); /* "View.MemoryView":1029 * dst.data = memview.view.buf * * for dim in range(memview.view.ndim): # <<<<<<<<<<<<<< * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] */ __pyx_t_2 = __pyx_v_memview->view.ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_dim = __pyx_t_3; /* "View.MemoryView":1030 * * for dim in range(memview.view.ndim): * dst.shape[dim] = shape[dim] # <<<<<<<<<<<<<< * dst.strides[dim] = strides[dim] * if suboffsets == NULL: */ (__pyx_v_dst->shape[__pyx_v_dim]) = (__pyx_v_shape[__pyx_v_dim]); /* "View.MemoryView":1031 * for dim in range(memview.view.ndim): * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] # <<<<<<<<<<<<<< * if suboffsets == NULL: * dst.suboffsets[dim] = -1 */ (__pyx_v_dst->strides[__pyx_v_dim]) = (__pyx_v_strides[__pyx_v_dim]); /* "View.MemoryView":1032 * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] * if suboffsets == NULL: # <<<<<<<<<<<<<< * dst.suboffsets[dim] = -1 * else: */ __pyx_t_4 = ((__pyx_v_suboffsets == NULL) != 0); if (__pyx_t_4) { /* "View.MemoryView":1033 * dst.strides[dim] = strides[dim] * if suboffsets == NULL: * dst.suboffsets[dim] = -1 # <<<<<<<<<<<<<< * else: * dst.suboffsets[dim] = suboffsets[dim] */ (__pyx_v_dst->suboffsets[__pyx_v_dim]) = -1; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":1035 * dst.suboffsets[dim] = -1 * else: * dst.suboffsets[dim] = suboffsets[dim] # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_copy_object') */ (__pyx_v_dst->suboffsets[__pyx_v_dim]) = (__pyx_v_suboffsets[__pyx_v_dim]); } __pyx_L5:; } __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":1038 * * @cname('__pyx_memoryview_copy_object') * cdef memoryview_copy(memoryview memview): # <<<<<<<<<<<<<< * "Create a new memoryview object" * cdef __Pyx_memviewslice memviewslice */ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx_v_memview) { __Pyx_memviewslice __pyx_v_memviewslice; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memoryview_copy", 0); /* "View.MemoryView":1041 * "Create a new memoryview object" * cdef __Pyx_memviewslice memviewslice * slice_copy(memview, &memviewslice) # <<<<<<<<<<<<<< * return memoryview_copy_from_slice(memview, &memviewslice) * */ __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_memviewslice)); /* "View.MemoryView":1042 * cdef __Pyx_memviewslice memviewslice * slice_copy(memview, &memviewslice) * return memoryview_copy_from_slice(memview, &memviewslice) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_copy_object_from_slice') */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __pyx_memoryview_copy_object_from_slice(__pyx_v_memview, (&__pyx_v_memviewslice)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1042; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview_copy", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":1045 * * @cname('__pyx_memoryview_copy_object_from_slice') * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<< * """ * Create a new memoryview object from a given memoryview object and slice. */ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_memviewslice) { PyObject *(*__pyx_v_to_object_func)(char *); int (*__pyx_v_to_dtype_func)(char *, PyObject *); PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *(*__pyx_t_3)(char *); int (*__pyx_t_4)(char *, PyObject *); PyObject *__pyx_t_5 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memoryview_copy_from_slice", 0); /* "View.MemoryView":1052 * cdef int (*to_dtype_func)(char *, object) except 0 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * to_object_func = (<_memoryviewslice> memview).to_object_func * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func */ __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), ((PyObject *)__pyx_memoryviewslice_type)); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":1053 * * if isinstance(memview, _memoryviewslice): * to_object_func = (<_memoryviewslice> memview).to_object_func # <<<<<<<<<<<<<< * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func * else: */ __pyx_t_3 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_object_func; __pyx_v_to_object_func = __pyx_t_3; /* "View.MemoryView":1054 * if isinstance(memview, _memoryviewslice): * to_object_func = (<_memoryviewslice> memview).to_object_func * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func # <<<<<<<<<<<<<< * else: * to_object_func = NULL */ __pyx_t_4 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_dtype_func; __pyx_v_to_dtype_func = __pyx_t_4; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1056 * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func * else: * to_object_func = NULL # <<<<<<<<<<<<<< * to_dtype_func = NULL * */ __pyx_v_to_object_func = NULL; /* "View.MemoryView":1057 * else: * to_object_func = NULL * to_dtype_func = NULL # <<<<<<<<<<<<<< * * return memoryview_fromslice(memviewslice[0], memview.view.ndim, */ __pyx_v_to_dtype_func = NULL; } __pyx_L3:; /* "View.MemoryView":1059 * to_dtype_func = NULL * * return memoryview_fromslice(memviewslice[0], memview.view.ndim, # <<<<<<<<<<<<<< * to_object_func, to_dtype_func, * memview.dtype_is_object) */ __Pyx_XDECREF(__pyx_r); /* "View.MemoryView":1061 * return memoryview_fromslice(memviewslice[0], memview.view.ndim, * to_object_func, to_dtype_func, * memview.dtype_is_object) # <<<<<<<<<<<<<< * * */ __pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1059; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.memoryview_copy_from_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":1067 * * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< * if arg < 0: * return -arg */ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { Py_ssize_t __pyx_r; int __pyx_t_1; /* "View.MemoryView":1068 * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: # <<<<<<<<<<<<<< * return -arg * else: */ __pyx_t_1 = ((__pyx_v_arg < 0) != 0); if (__pyx_t_1) { /* "View.MemoryView":1069 * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: * return -arg # <<<<<<<<<<<<<< * else: * return arg */ __pyx_r = (-__pyx_v_arg); goto __pyx_L0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1071 * return -arg * else: * return arg # <<<<<<<<<<<<<< * * @cname('__pyx_get_best_slice_order') */ __pyx_r = __pyx_v_arg; goto __pyx_L0; } __pyx_L3:; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1074 * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< * """ * Figure out the best memory access order for a given slice. */ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) { int __pyx_v_i; Py_ssize_t __pyx_v_c_stride; Py_ssize_t __pyx_v_f_stride; char __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1079 * """ * cdef int i * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< * cdef Py_ssize_t f_stride = 0 * */ __pyx_v_c_stride = 0; /* "View.MemoryView":1080 * cdef int i * cdef Py_ssize_t c_stride = 0 * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<< * * for i in range(ndim - 1, -1, -1): */ __pyx_v_f_stride = 0; /* "View.MemoryView":1082 * cdef Py_ssize_t f_stride = 0 * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] */ for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { __pyx_v_i = __pyx_t_1; /* "View.MemoryView":1083 * * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * c_stride = mslice.strides[i] * break */ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1084 * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] # <<<<<<<<<<<<<< * break * */ __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]); /* "View.MemoryView":1085 * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< * * for i in range(ndim): */ goto __pyx_L4_break; goto __pyx_L5; } __pyx_L5:; } __pyx_L4_break:; /* "View.MemoryView":1087 * break * * for i in range(ndim): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] */ __pyx_t_1 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_1; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1088 * * for i in range(ndim): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * f_stride = mslice.strides[i] * break */ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1089 * for i in range(ndim): * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] # <<<<<<<<<<<<<< * break * */ __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]); /* "View.MemoryView":1090 * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): */ goto __pyx_L7_break; goto __pyx_L8; } __pyx_L8:; } __pyx_L7_break:; /* "View.MemoryView":1092 * break * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< * return 'C' * else: */ __pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1093 * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): * return 'C' # <<<<<<<<<<<<<< * else: * return 'F' */ __pyx_r = 'C'; goto __pyx_L0; goto __pyx_L9; } /*else*/ { /* "View.MemoryView":1095 * return 'C' * else: * return 'F' # <<<<<<<<<<<<<< * * @cython.cdivision(True) */ __pyx_r = 'F'; goto __pyx_L0; } __pyx_L9:; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1098 * * @cython.cdivision(True) * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< * char *dst_data, Py_ssize_t *dst_strides, * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, */ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent; Py_ssize_t __pyx_v_dst_extent; Py_ssize_t __pyx_v_src_stride; Py_ssize_t __pyx_v_dst_stride; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; Py_ssize_t __pyx_t_5; Py_ssize_t __pyx_t_6; /* "View.MemoryView":1105 * * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] */ __pyx_v_src_extent = (__pyx_v_src_shape[0]); /* "View.MemoryView":1106 * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] */ __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); /* "View.MemoryView":1107 * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_stride = dst_strides[0] * */ __pyx_v_src_stride = (__pyx_v_src_strides[0]); /* "View.MemoryView":1108 * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< * * if ndim == 1: */ __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); /* "View.MemoryView":1110 * cdef Py_ssize_t dst_stride = dst_strides[0] * * if ndim == 1: # <<<<<<<<<<<<<< * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): */ __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_1) { /* "View.MemoryView":1111 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) */ __pyx_t_1 = ((__pyx_v_src_stride > 0) != 0); if (__pyx_t_1) { __pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":1112 * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<< * memcpy(dst_data, src_data, itemsize * dst_extent) * else: */ __pyx_t_3 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize); if (__pyx_t_3) { __pyx_t_3 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride)); } __pyx_t_4 = (__pyx_t_3 != 0); } else { __pyx_t_4 = __pyx_t_2; } __pyx_t_2 = __pyx_t_4; } else { __pyx_t_2 = __pyx_t_1; } if (__pyx_t_2) { /* "View.MemoryView":1113 * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<< * else: * for i in range(dst_extent): */ memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)); goto __pyx_L4; } /*else*/ { /* "View.MemoryView":1115 * memcpy(dst_data, src_data, itemsize * dst_extent) * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< * memcpy(dst_data, src_data, itemsize) * src_data += src_stride */ __pyx_t_5 = __pyx_v_dst_extent; for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; /* "View.MemoryView":1116 * else: * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<< * src_data += src_stride * dst_data += dst_stride */ memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize); /* "View.MemoryView":1117 * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< * dst_data += dst_stride * else: */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); /* "View.MemoryView":1118 * memcpy(dst_data, src_data, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< * else: * for i in range(dst_extent): */ __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); } } __pyx_L4:; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1120 * dst_data += dst_stride * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< * _copy_strided_to_strided(src_data, src_strides + 1, * dst_data, dst_strides + 1, */ __pyx_t_5 = __pyx_v_dst_extent; for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; /* "View.MemoryView":1124 * dst_data, dst_strides + 1, * src_shape + 1, dst_shape + 1, * ndim - 1, itemsize) # <<<<<<<<<<<<<< * src_data += src_stride * dst_data += dst_stride */ _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize); /* "View.MemoryView":1125 * src_shape + 1, dst_shape + 1, * ndim - 1, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< * dst_data += dst_stride * */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); /* "View.MemoryView":1126 * ndim - 1, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, */ __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); } } __pyx_L3:; } /* "View.MemoryView":1128 * dst_data += dst_stride * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< * __Pyx_memviewslice *dst, * int ndim, size_t itemsize) nogil: */ static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) { /* "View.MemoryView":1132 * int ndim, size_t itemsize) nogil: * _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, * src.shape, dst.shape, ndim, itemsize) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_slice_get_size') */ _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize); } /* "View.MemoryView":1135 * * @cname('__pyx_memoryview_slice_get_size') * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< * "Return the size of the memory occupied by the slice in number of bytes" * cdef int i */ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) { int __pyx_v_i; Py_ssize_t __pyx_v_size; Py_ssize_t __pyx_r; Py_ssize_t __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1138 * "Return the size of the memory occupied by the slice in number of bytes" * cdef int i * cdef Py_ssize_t size = src.memview.view.itemsize # <<<<<<<<<<<<<< * * for i in range(ndim): */ __pyx_t_1 = __pyx_v_src->memview->view.itemsize; __pyx_v_size = __pyx_t_1; /* "View.MemoryView":1140 * cdef Py_ssize_t size = src.memview.view.itemsize * * for i in range(ndim): # <<<<<<<<<<<<<< * size *= src.shape[i] * */ __pyx_t_2 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1141 * * for i in range(ndim): * size *= src.shape[i] # <<<<<<<<<<<<<< * * return size */ __pyx_v_size = (__pyx_v_size * (__pyx_v_src->shape[__pyx_v_i])); } /* "View.MemoryView":1143 * size *= src.shape[i] * * return size # <<<<<<<<<<<<<< * * @cname('__pyx_fill_contig_strides_array') */ __pyx_r = __pyx_v_size; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1146 * * @cname('__pyx_fill_contig_strides_array') * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, * int ndim, char order) nogil: */ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) { int __pyx_v_idx; Py_ssize_t __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1155 * cdef int idx * * if order == 'F': # <<<<<<<<<<<<<< * for idx in range(ndim): * strides[idx] = stride */ __pyx_t_1 = ((__pyx_v_order == 'F') != 0); if (__pyx_t_1) { /* "View.MemoryView":1156 * * if order == 'F': * for idx in range(ndim): # <<<<<<<<<<<<<< * strides[idx] = stride * stride = stride * shape[idx] */ __pyx_t_2 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_idx = __pyx_t_3; /* "View.MemoryView":1157 * if order == 'F': * for idx in range(ndim): * strides[idx] = stride # <<<<<<<<<<<<<< * stride = stride * shape[idx] * else: */ (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; /* "View.MemoryView":1158 * for idx in range(ndim): * strides[idx] = stride * stride = stride * shape[idx] # <<<<<<<<<<<<<< * else: * for idx in range(ndim - 1, -1, -1): */ __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); } goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1160 * stride = stride * shape[idx] * else: * for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * strides[idx] = stride * stride = stride * shape[idx] */ for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) { __pyx_v_idx = __pyx_t_2; /* "View.MemoryView":1161 * else: * for idx in range(ndim - 1, -1, -1): * strides[idx] = stride # <<<<<<<<<<<<<< * stride = stride * shape[idx] * */ (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; /* "View.MemoryView":1162 * for idx in range(ndim - 1, -1, -1): * strides[idx] = stride * stride = stride * shape[idx] # <<<<<<<<<<<<<< * * return stride */ __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); } } __pyx_L3:; /* "View.MemoryView":1164 * stride = stride * shape[idx] * * return stride # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_copy_data_to_temp') */ __pyx_r = __pyx_v_stride; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1167 * * @cname('__pyx_memoryview_copy_data_to_temp') * cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< * __Pyx_memviewslice *tmpslice, * char order, */ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) { int __pyx_v_i; void *__pyx_v_result; size_t __pyx_v_itemsize; size_t __pyx_v_size; void *__pyx_r; Py_ssize_t __pyx_t_1; int __pyx_t_2; int __pyx_t_3; struct __pyx_memoryview_obj *__pyx_t_4; int __pyx_t_5; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; /* "View.MemoryView":1178 * cdef void *result * * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< * cdef size_t size = slice_get_size(src, ndim) * */ __pyx_t_1 = __pyx_v_src->memview->view.itemsize; __pyx_v_itemsize = __pyx_t_1; /* "View.MemoryView":1179 * * cdef size_t itemsize = src.memview.view.itemsize * cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<< * * result = malloc(size) */ __pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim); /* "View.MemoryView":1181 * cdef size_t size = slice_get_size(src, ndim) * * result = malloc(size) # <<<<<<<<<<<<<< * if not result: * _err(MemoryError, NULL) */ __pyx_v_result = malloc(__pyx_v_size); /* "View.MemoryView":1182 * * result = malloc(size) * if not result: # <<<<<<<<<<<<<< * _err(MemoryError, NULL) * */ __pyx_t_2 = ((!(__pyx_v_result != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1183 * result = malloc(size) * if not result: * _err(MemoryError, NULL) # <<<<<<<<<<<<<< * * */ __pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1183; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":1186 * * * tmpslice.data = result # <<<<<<<<<<<<<< * tmpslice.memview = src.memview * for i in range(ndim): */ __pyx_v_tmpslice->data = ((char *)__pyx_v_result); /* "View.MemoryView":1187 * * tmpslice.data = result * tmpslice.memview = src.memview # <<<<<<<<<<<<<< * for i in range(ndim): * tmpslice.shape[i] = src.shape[i] */ __pyx_t_4 = __pyx_v_src->memview; __pyx_v_tmpslice->memview = __pyx_t_4; /* "View.MemoryView":1188 * tmpslice.data = result * tmpslice.memview = src.memview * for i in range(ndim): # <<<<<<<<<<<<<< * tmpslice.shape[i] = src.shape[i] * tmpslice.suboffsets[i] = -1 */ __pyx_t_3 = __pyx_v_ndim; for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_3; __pyx_t_5+=1) { __pyx_v_i = __pyx_t_5; /* "View.MemoryView":1189 * tmpslice.memview = src.memview * for i in range(ndim): * tmpslice.shape[i] = src.shape[i] # <<<<<<<<<<<<<< * tmpslice.suboffsets[i] = -1 * */ (__pyx_v_tmpslice->shape[__pyx_v_i]) = (__pyx_v_src->shape[__pyx_v_i]); /* "View.MemoryView":1190 * for i in range(ndim): * tmpslice.shape[i] = src.shape[i] * tmpslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< * * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, */ (__pyx_v_tmpslice->suboffsets[__pyx_v_i]) = -1; } /* "View.MemoryView":1193 * * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, * ndim, order) # <<<<<<<<<<<<<< * * */ __pyx_fill_contig_strides_array((&(__pyx_v_tmpslice->shape[0])), (&(__pyx_v_tmpslice->strides[0])), __pyx_v_itemsize, __pyx_v_ndim, __pyx_v_order); /* "View.MemoryView":1196 * * * for i in range(ndim): # <<<<<<<<<<<<<< * if tmpslice.shape[i] == 1: * tmpslice.strides[i] = 0 */ __pyx_t_3 = __pyx_v_ndim; for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_3; __pyx_t_5+=1) { __pyx_v_i = __pyx_t_5; /* "View.MemoryView":1197 * * for i in range(ndim): * if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<< * tmpslice.strides[i] = 0 * */ __pyx_t_2 = (((__pyx_v_tmpslice->shape[__pyx_v_i]) == 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1198 * for i in range(ndim): * if tmpslice.shape[i] == 1: * tmpslice.strides[i] = 0 # <<<<<<<<<<<<<< * * if slice_is_contig(src, order, ndim): */ (__pyx_v_tmpslice->strides[__pyx_v_i]) = 0; goto __pyx_L8; } __pyx_L8:; } /* "View.MemoryView":1200 * tmpslice.strides[i] = 0 * * if slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< * memcpy(result, src.data, size) * else: */ __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1201 * * if slice_is_contig(src, order, ndim): * memcpy(result, src.data, size) # <<<<<<<<<<<<<< * else: * copy_strided_to_strided(src, tmpslice, ndim, itemsize) */ memcpy(__pyx_v_result, __pyx_v_src->data, __pyx_v_size); goto __pyx_L9; } /*else*/ { /* "View.MemoryView":1203 * memcpy(result, src.data, size) * else: * copy_strided_to_strided(src, tmpslice, ndim, itemsize) # <<<<<<<<<<<<<< * * return result */ copy_strided_to_strided(__pyx_v_src, __pyx_v_tmpslice, __pyx_v_ndim, __pyx_v_itemsize); } __pyx_L9:; /* "View.MemoryView":1205 * copy_strided_to_strided(src, tmpslice, ndim, itemsize) * * return result # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_result; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_AddTraceback("View.MemoryView.copy_data_to_temp", __pyx_clineno, __pyx_lineno, __pyx_filename); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } __pyx_r = NULL; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1210 * * @cname('__pyx_memoryview_err_extents') * cdef int _err_extents(int i, Py_ssize_t extent1, # <<<<<<<<<<<<<< * Py_ssize_t extent2) except -1 with gil: * raise ValueError("got differing extents in dimension %d (got %d and %d)" % */ static int __pyx_memoryview_err_extents(int __pyx_v_i, Py_ssize_t __pyx_v_extent1, Py_ssize_t __pyx_v_extent2) { int __pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_RefNannySetupContext("_err_extents", 0); /* "View.MemoryView":1213 * Py_ssize_t extent2) except -1 with gil: * raise ValueError("got differing extents in dimension %d (got %d and %d)" % * (i, extent1, extent2)) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_err_dim') */ __pyx_t_1 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1213; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_extent1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1213; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyInt_FromSsize_t(__pyx_v_extent2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1213; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyTuple_New(3); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1213; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_4, 2, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_1 = 0; __pyx_t_2 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_52), ((PyObject *)__pyx_t_4)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1212; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1212; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1212; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1212; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView._err_extents", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_RefNannyFinishContext(); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif return __pyx_r; } /* "View.MemoryView":1216 * * @cname('__pyx_memoryview_err_dim') * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: # <<<<<<<<<<<<<< * raise error(msg.decode('ascii') % dim) * */ static int __pyx_memoryview_err_dim(PyObject *__pyx_v_error, char *__pyx_v_msg, int __pyx_v_dim) { int __pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_RefNannySetupContext("_err_dim", 0); __Pyx_INCREF(__pyx_v_error); /* "View.MemoryView":1217 * @cname('__pyx_memoryview_err_dim') * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: * raise error(msg.decode('ascii') % dim) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_err') */ __pyx_t_1 = ((PyObject *)__Pyx_decode_c_string(__pyx_v_msg, 0, strlen(__pyx_v_msg), NULL, NULL, PyUnicode_DecodeASCII)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __pyx_t_2 = PyInt_FromLong(__pyx_v_dim); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_t_1), __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_v_error, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView._err_dim", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_XDECREF(__pyx_v_error); __Pyx_RefNannyFinishContext(); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif return __pyx_r; } /* "View.MemoryView":1220 * * @cname('__pyx_memoryview_err') * cdef int _err(object error, char *msg) except -1 with gil: # <<<<<<<<<<<<<< * if msg != NULL: * raise error(msg.decode('ascii')) */ static int __pyx_memoryview_err(PyObject *__pyx_v_error, char *__pyx_v_msg) { int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_RefNannySetupContext("_err", 0); __Pyx_INCREF(__pyx_v_error); /* "View.MemoryView":1221 * @cname('__pyx_memoryview_err') * cdef int _err(object error, char *msg) except -1 with gil: * if msg != NULL: # <<<<<<<<<<<<<< * raise error(msg.decode('ascii')) * else: */ __pyx_t_1 = ((__pyx_v_msg != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":1222 * cdef int _err(object error, char *msg) except -1 with gil: * if msg != NULL: * raise error(msg.decode('ascii')) # <<<<<<<<<<<<<< * else: * raise error */ __pyx_t_2 = ((PyObject *)__Pyx_decode_c_string(__pyx_v_msg, 0, strlen(__pyx_v_msg), NULL, NULL, PyUnicode_DecodeASCII)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1222; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1222; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_t_2)); __Pyx_GIVEREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(__pyx_v_error, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1222; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_2, 0, 0, 0); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1222; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1224 * raise error(msg.decode('ascii')) * else: * raise error # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_copy_contents') */ __Pyx_Raise(__pyx_v_error, 0, 0, 0); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1224; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L3:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView._err", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_XDECREF(__pyx_v_error); __Pyx_RefNannyFinishContext(); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif return __pyx_r; } /* "View.MemoryView":1227 * * @cname('__pyx_memoryview_copy_contents') * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< * __Pyx_memviewslice dst, * int src_ndim, int dst_ndim, */ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_memviewslice __pyx_v_dst, int __pyx_v_src_ndim, int __pyx_v_dst_ndim, int __pyx_v_dtype_is_object) { void *__pyx_v_tmpdata; size_t __pyx_v_itemsize; int __pyx_v_i; char __pyx_v_order; int __pyx_v_broadcasting; int __pyx_v_direct_copy; __Pyx_memviewslice __pyx_v_tmp; int __pyx_v_ndim; int __pyx_r; Py_ssize_t __pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; int __pyx_t_5; void *__pyx_t_6; int __pyx_t_7; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; /* "View.MemoryView":1235 * Check for overlapping memory and verify the shapes. * """ * cdef void *tmpdata = NULL # <<<<<<<<<<<<<< * cdef size_t itemsize = src.memview.view.itemsize * cdef int i */ __pyx_v_tmpdata = NULL; /* "View.MemoryView":1236 * """ * cdef void *tmpdata = NULL * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< * cdef int i * cdef char order = get_best_order(&src, src_ndim) */ __pyx_t_1 = __pyx_v_src.memview->view.itemsize; __pyx_v_itemsize = __pyx_t_1; /* "View.MemoryView":1238 * cdef size_t itemsize = src.memview.view.itemsize * cdef int i * cdef char order = get_best_order(&src, src_ndim) # <<<<<<<<<<<<<< * cdef bint broadcasting = False * cdef bint direct_copy = False */ __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_src), __pyx_v_src_ndim); /* "View.MemoryView":1239 * cdef int i * cdef char order = get_best_order(&src, src_ndim) * cdef bint broadcasting = False # <<<<<<<<<<<<<< * cdef bint direct_copy = False * cdef __Pyx_memviewslice tmp */ __pyx_v_broadcasting = 0; /* "View.MemoryView":1240 * cdef char order = get_best_order(&src, src_ndim) * cdef bint broadcasting = False * cdef bint direct_copy = False # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice tmp * */ __pyx_v_direct_copy = 0; /* "View.MemoryView":1243 * cdef __Pyx_memviewslice tmp * * if src_ndim < dst_ndim: # <<<<<<<<<<<<<< * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: */ __pyx_t_2 = ((__pyx_v_src_ndim < __pyx_v_dst_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1244 * * if src_ndim < dst_ndim: * broadcast_leading(&src, src_ndim, dst_ndim) # <<<<<<<<<<<<<< * elif dst_ndim < src_ndim: * broadcast_leading(&dst, dst_ndim, src_ndim) */ __pyx_memoryview_broadcast_leading((&__pyx_v_src), __pyx_v_src_ndim, __pyx_v_dst_ndim); goto __pyx_L3; } /* "View.MemoryView":1245 * if src_ndim < dst_ndim: * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: # <<<<<<<<<<<<<< * broadcast_leading(&dst, dst_ndim, src_ndim) * */ __pyx_t_2 = ((__pyx_v_dst_ndim < __pyx_v_src_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1246 * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: * broadcast_leading(&dst, dst_ndim, src_ndim) # <<<<<<<<<<<<<< * * cdef int ndim = max(src_ndim, dst_ndim) */ __pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":1248 * broadcast_leading(&dst, dst_ndim, src_ndim) * * cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<< * * for i in range(ndim): */ __pyx_t_3 = __pyx_v_dst_ndim; __pyx_t_4 = __pyx_v_src_ndim; if (((__pyx_t_3 > __pyx_t_4) != 0)) { __pyx_t_5 = __pyx_t_3; } else { __pyx_t_5 = __pyx_t_4; } __pyx_v_ndim = __pyx_t_5; /* "View.MemoryView":1250 * cdef int ndim = max(src_ndim, dst_ndim) * * for i in range(ndim): # <<<<<<<<<<<<<< * if src.shape[i] != dst.shape[i]: * if src.shape[i] == 1: */ __pyx_t_5 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_5; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1251 * * for i in range(ndim): * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< * if src.shape[i] == 1: * broadcasting = True */ __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])) != 0); if (__pyx_t_2) { /* "View.MemoryView":1252 * for i in range(ndim): * if src.shape[i] != dst.shape[i]: * if src.shape[i] == 1: # <<<<<<<<<<<<<< * broadcasting = True * src.strides[i] = 0 */ __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1253 * if src.shape[i] != dst.shape[i]: * if src.shape[i] == 1: * broadcasting = True # <<<<<<<<<<<<<< * src.strides[i] = 0 * else: */ __pyx_v_broadcasting = 1; /* "View.MemoryView":1254 * if src.shape[i] == 1: * broadcasting = True * src.strides[i] = 0 # <<<<<<<<<<<<<< * else: * _err_extents(i, dst.shape[i], src.shape[i]) */ (__pyx_v_src.strides[__pyx_v_i]) = 0; goto __pyx_L7; } /*else*/ { /* "View.MemoryView":1256 * src.strides[i] = 0 * else: * _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<< * * if src.suboffsets[i] >= 0: */ __pyx_t_4 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1256; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L7:; goto __pyx_L6; } __pyx_L6:; /* "View.MemoryView":1258 * _err_extents(i, dst.shape[i], src.shape[i]) * * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Dimension %d is not direct", i) * */ __pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":1259 * * if src.suboffsets[i] >= 0: * _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<< * * if slices_overlap(&src, &dst, ndim, itemsize): */ __pyx_t_4 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, __pyx_k_53, __pyx_v_i); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1259; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; } /* "View.MemoryView":1261 * _err_dim(ValueError, "Dimension %d is not direct", i) * * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< * * if not slice_is_contig(&src, order, ndim): */ __pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0); if (__pyx_t_2) { /* "View.MemoryView":1263 * if slices_overlap(&src, &dst, ndim, itemsize): * * if not slice_is_contig(&src, order, ndim): # <<<<<<<<<<<<<< * order = get_best_order(&dst, ndim) * */ __pyx_t_2 = ((!(__pyx_memviewslice_is_contig((&__pyx_v_src), __pyx_v_order, __pyx_v_ndim) != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1264 * * if not slice_is_contig(&src, order, ndim): * order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<< * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) */ __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim); goto __pyx_L10; } __pyx_L10:; /* "View.MemoryView":1266 * order = get_best_order(&dst, ndim) * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<< * src = tmp * */ __pyx_t_6 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_6 == NULL)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1266; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_tmpdata = __pyx_t_6; /* "View.MemoryView":1267 * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) * src = tmp # <<<<<<<<<<<<<< * * if not broadcasting: */ __pyx_v_src = __pyx_v_tmp; goto __pyx_L9; } __pyx_L9:; /* "View.MemoryView":1269 * src = tmp * * if not broadcasting: # <<<<<<<<<<<<<< * * */ __pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1272 * * * if slice_is_contig(&src, 'C', ndim): # <<<<<<<<<<<<<< * direct_copy = slice_is_contig(&dst, 'C', ndim) * elif slice_is_contig(&src, 'F', ndim): */ __pyx_t_2 = (__pyx_memviewslice_is_contig((&__pyx_v_src), 'C', __pyx_v_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1273 * * if slice_is_contig(&src, 'C', ndim): * direct_copy = slice_is_contig(&dst, 'C', ndim) # <<<<<<<<<<<<<< * elif slice_is_contig(&src, 'F', ndim): * direct_copy = slice_is_contig(&dst, 'F', ndim) */ __pyx_v_direct_copy = __pyx_memviewslice_is_contig((&__pyx_v_dst), 'C', __pyx_v_ndim); goto __pyx_L12; } /* "View.MemoryView":1274 * if slice_is_contig(&src, 'C', ndim): * direct_copy = slice_is_contig(&dst, 'C', ndim) * elif slice_is_contig(&src, 'F', ndim): # <<<<<<<<<<<<<< * direct_copy = slice_is_contig(&dst, 'F', ndim) * */ __pyx_t_2 = (__pyx_memviewslice_is_contig((&__pyx_v_src), 'F', __pyx_v_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1275 * direct_copy = slice_is_contig(&dst, 'C', ndim) * elif slice_is_contig(&src, 'F', ndim): * direct_copy = slice_is_contig(&dst, 'F', ndim) # <<<<<<<<<<<<<< * * if direct_copy: */ __pyx_v_direct_copy = __pyx_memviewslice_is_contig((&__pyx_v_dst), 'F', __pyx_v_ndim); goto __pyx_L12; } __pyx_L12:; /* "View.MemoryView":1277 * direct_copy = slice_is_contig(&dst, 'F', ndim) * * if direct_copy: # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ __pyx_t_2 = (__pyx_v_direct_copy != 0); if (__pyx_t_2) { /* "View.MemoryView":1279 * if direct_copy: * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1280 * * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<< * refcount_copying(&dst, dtype_is_object, ndim, True) * return 0 */ memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim)); /* "View.MemoryView":1281 * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * return 0 * */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1282 * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) * return 0 # <<<<<<<<<<<<<< * * if order == 'F' == get_best_order(&dst, ndim): */ __pyx_r = 0; goto __pyx_L0; goto __pyx_L13; } __pyx_L13:; goto __pyx_L11; } __pyx_L11:; /* "View.MemoryView":1284 * return 0 * * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< * * */ __pyx_t_2 = (__pyx_v_order == 'F'); if (__pyx_t_2) { __pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim)); } __pyx_t_7 = (__pyx_t_2 != 0); if (__pyx_t_7) { /* "View.MemoryView":1287 * * * transpose_memslice(&src) # <<<<<<<<<<<<<< * transpose_memslice(&dst) * */ __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1287; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":1288 * * transpose_memslice(&src) * transpose_memslice(&dst) # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1288; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L14; } __pyx_L14:; /* "View.MemoryView":1290 * transpose_memslice(&dst) * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1291 * * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< * refcount_copying(&dst, dtype_is_object, ndim, True) * */ copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); /* "View.MemoryView":1292 * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * * free(tmpdata) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1294 * refcount_copying(&dst, dtype_is_object, ndim, True) * * free(tmpdata) # <<<<<<<<<<<<<< * return 0 * */ free(__pyx_v_tmpdata); /* "View.MemoryView":1295 * * free(tmpdata) * return 0 # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_broadcast_leading') */ __pyx_r = 0; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } __pyx_r = -1; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1298 * * @cname('__pyx_memoryview_broadcast_leading') * cdef void broadcast_leading(__Pyx_memviewslice *slice, # <<<<<<<<<<<<<< * int ndim, * int ndim_other) nogil: */ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_slice, int __pyx_v_ndim, int __pyx_v_ndim_other) { int __pyx_v_i; int __pyx_v_offset; int __pyx_t_1; int __pyx_t_2; /* "View.MemoryView":1302 * int ndim_other) nogil: * cdef int i * cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<< * * for i in range(ndim - 1, -1, -1): */ __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim); /* "View.MemoryView":1304 * cdef int offset = ndim_other - ndim * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * slice.shape[i + offset] = slice.shape[i] * slice.strides[i + offset] = slice.strides[i] */ for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { __pyx_v_i = __pyx_t_1; /* "View.MemoryView":1305 * * for i in range(ndim - 1, -1, -1): * slice.shape[i + offset] = slice.shape[i] # <<<<<<<<<<<<<< * slice.strides[i + offset] = slice.strides[i] * slice.suboffsets[i + offset] = slice.suboffsets[i] */ (__pyx_v_slice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_slice->shape[__pyx_v_i]); /* "View.MemoryView":1306 * for i in range(ndim - 1, -1, -1): * slice.shape[i + offset] = slice.shape[i] * slice.strides[i + offset] = slice.strides[i] # <<<<<<<<<<<<<< * slice.suboffsets[i + offset] = slice.suboffsets[i] * */ (__pyx_v_slice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_slice->strides[__pyx_v_i]); /* "View.MemoryView":1307 * slice.shape[i + offset] = slice.shape[i] * slice.strides[i + offset] = slice.strides[i] * slice.suboffsets[i + offset] = slice.suboffsets[i] # <<<<<<<<<<<<<< * * for i in range(offset): */ (__pyx_v_slice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_slice->suboffsets[__pyx_v_i]); } /* "View.MemoryView":1309 * slice.suboffsets[i + offset] = slice.suboffsets[i] * * for i in range(offset): # <<<<<<<<<<<<<< * slice.shape[i] = 1 * slice.strides[i] = slice.strides[0] */ __pyx_t_1 = __pyx_v_offset; for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) { __pyx_v_i = __pyx_t_2; /* "View.MemoryView":1310 * * for i in range(offset): * slice.shape[i] = 1 # <<<<<<<<<<<<<< * slice.strides[i] = slice.strides[0] * slice.suboffsets[i] = -1 */ (__pyx_v_slice->shape[__pyx_v_i]) = 1; /* "View.MemoryView":1311 * for i in range(offset): * slice.shape[i] = 1 * slice.strides[i] = slice.strides[0] # <<<<<<<<<<<<<< * slice.suboffsets[i] = -1 * */ (__pyx_v_slice->strides[__pyx_v_i]) = (__pyx_v_slice->strides[0]); /* "View.MemoryView":1312 * slice.shape[i] = 1 * slice.strides[i] = slice.strides[0] * slice.suboffsets[i] = -1 # <<<<<<<<<<<<<< * * */ (__pyx_v_slice->suboffsets[__pyx_v_i]) = -1; } } /* "View.MemoryView":1320 * * @cname('__pyx_memoryview_refcount_copying') * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< * int ndim, bint inc) nogil: * */ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) { int __pyx_t_1; /* "View.MemoryView":1324 * * * if dtype_is_object: # <<<<<<<<<<<<<< * refcount_objects_in_slice_with_gil(dst.data, dst.shape, * dst.strides, ndim, inc) */ __pyx_t_1 = (__pyx_v_dtype_is_object != 0); if (__pyx_t_1) { /* "View.MemoryView":1326 * if dtype_is_object: * refcount_objects_in_slice_with_gil(dst.data, dst.shape, * dst.strides, ndim, inc) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') */ __pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc); goto __pyx_L3; } __pyx_L3:; } /* "View.MemoryView":1329 * * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, * bint inc) with gil: */ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { __Pyx_RefNannyDeclarations #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_RefNannySetupContext("refcount_objects_in_slice_with_gil", 0); /* "View.MemoryView":1332 * Py_ssize_t *strides, int ndim, * bint inc) with gil: * refcount_objects_in_slice(data, shape, strides, ndim, inc) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_refcount_objects_in_slice') */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc); __Pyx_RefNannyFinishContext(); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } /* "View.MemoryView":1335 * * @cname('__pyx_memoryview_refcount_objects_in_slice') * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, bint inc): * cdef Py_ssize_t i */ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; __Pyx_RefNannyDeclarations Py_ssize_t __pyx_t_1; Py_ssize_t __pyx_t_2; int __pyx_t_3; __Pyx_RefNannySetupContext("refcount_objects_in_slice", 0); /* "View.MemoryView":1339 * cdef Py_ssize_t i * * for i in range(shape[0]): # <<<<<<<<<<<<<< * if ndim == 1: * if inc: */ __pyx_t_1 = (__pyx_v_shape[0]); for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) { __pyx_v_i = __pyx_t_2; /* "View.MemoryView":1340 * * for i in range(shape[0]): * if ndim == 1: # <<<<<<<<<<<<<< * if inc: * Py_INCREF(( data)[0]) */ __pyx_t_3 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_3) { /* "View.MemoryView":1341 * for i in range(shape[0]): * if ndim == 1: * if inc: # <<<<<<<<<<<<<< * Py_INCREF(( data)[0]) * else: */ __pyx_t_3 = (__pyx_v_inc != 0); if (__pyx_t_3) { /* "View.MemoryView":1342 * if ndim == 1: * if inc: * Py_INCREF(( data)[0]) # <<<<<<<<<<<<<< * else: * Py_DECREF(( data)[0]) */ Py_INCREF((((PyObject **)__pyx_v_data)[0])); goto __pyx_L6; } /*else*/ { /* "View.MemoryView":1344 * Py_INCREF(( data)[0]) * else: * Py_DECREF(( data)[0]) # <<<<<<<<<<<<<< * else: * refcount_objects_in_slice(data, shape + 1, strides + 1, */ Py_DECREF((((PyObject **)__pyx_v_data)[0])); } __pyx_L6:; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":1347 * else: * refcount_objects_in_slice(data, shape + 1, strides + 1, * ndim - 1, inc) # <<<<<<<<<<<<<< * * data += strides[0] */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_inc); } __pyx_L5:; /* "View.MemoryView":1349 * ndim - 1, inc) * * data += strides[0] # <<<<<<<<<<<<<< * * */ __pyx_v_data = (__pyx_v_data + (__pyx_v_strides[0])); } __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":1355 * * @cname('__pyx_memoryview_slice_assign_scalar') * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # <<<<<<<<<<<<<< * size_t itemsize, void *item, * bint dtype_is_object) nogil: */ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item, int __pyx_v_dtype_is_object) { /* "View.MemoryView":1358 * size_t itemsize, void *item, * bint dtype_is_object) nogil: * refcount_copying(dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, * itemsize, item) */ __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1360 * refcount_copying(dst, dtype_is_object, ndim, False) * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, * itemsize, item) # <<<<<<<<<<<<<< * refcount_copying(dst, dtype_is_object, ndim, True) * */ __pyx_memoryview__slice_assign_scalar(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_itemsize, __pyx_v_item); /* "View.MemoryView":1361 * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, * itemsize, item) * refcount_copying(dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * * */ __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 1); } /* "View.MemoryView":1365 * * @cname('__pyx_memoryview__slice_assign_scalar') * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, * size_t itemsize, void *item) nogil: */ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; Py_ssize_t __pyx_v_stride; Py_ssize_t __pyx_v_extent; int __pyx_t_1; Py_ssize_t __pyx_t_2; Py_ssize_t __pyx_t_3; /* "View.MemoryView":1369 * size_t itemsize, void *item) nogil: * cdef Py_ssize_t i * cdef Py_ssize_t stride = strides[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t extent = shape[0] * */ __pyx_v_stride = (__pyx_v_strides[0]); /* "View.MemoryView":1370 * cdef Py_ssize_t i * cdef Py_ssize_t stride = strides[0] * cdef Py_ssize_t extent = shape[0] # <<<<<<<<<<<<<< * * if ndim == 1: */ __pyx_v_extent = (__pyx_v_shape[0]); /* "View.MemoryView":1372 * cdef Py_ssize_t extent = shape[0] * * if ndim == 1: # <<<<<<<<<<<<<< * for i in range(extent): * memcpy(data, item, itemsize) */ __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_1) { /* "View.MemoryView":1373 * * if ndim == 1: * for i in range(extent): # <<<<<<<<<<<<<< * memcpy(data, item, itemsize) * data += stride */ __pyx_t_2 = __pyx_v_extent; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1374 * if ndim == 1: * for i in range(extent): * memcpy(data, item, itemsize) # <<<<<<<<<<<<<< * data += stride * else: */ memcpy(__pyx_v_data, __pyx_v_item, __pyx_v_itemsize); /* "View.MemoryView":1375 * for i in range(extent): * memcpy(data, item, itemsize) * data += stride # <<<<<<<<<<<<<< * else: * for i in range(extent): */ __pyx_v_data = (__pyx_v_data + __pyx_v_stride); } goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1377 * data += stride * else: * for i in range(extent): # <<<<<<<<<<<<<< * _slice_assign_scalar(data, shape + 1, strides + 1, * ndim - 1, itemsize, item) */ __pyx_t_2 = __pyx_v_extent; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1379 * for i in range(extent): * _slice_assign_scalar(data, shape + 1, strides + 1, * ndim - 1, itemsize, item) # <<<<<<<<<<<<<< * data += stride * */ __pyx_memoryview__slice_assign_scalar(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize, __pyx_v_item); /* "View.MemoryView":1380 * _slice_assign_scalar(data, shape + 1, strides + 1, * ndim - 1, itemsize, item) * data += stride # <<<<<<<<<<<<<< * * */ __pyx_v_data = (__pyx_v_data + __pyx_v_stride); } } __pyx_L3:; } static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview; static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_memoryview_obj *p; PyObject *o; o = (*t->tp_alloc)(t, 0); if (unlikely(!o)) return 0; p = ((struct __pyx_memoryview_obj *)o); p->__pyx_vtab = __pyx_vtabptr_memoryview; p->obj = Py_None; Py_INCREF(Py_None); p->_size = Py_None; Py_INCREF(Py_None); p->_array_interface = Py_None; Py_INCREF(Py_None); p->view.obj = NULL; if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) { Py_DECREF(o); o = 0; } return o; } static void __pyx_tp_dealloc_memoryview(PyObject *o) { struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; PyObject_GC_UnTrack(o); { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_memoryview___dealloc__(o); if (PyErr_Occurred()) PyErr_WriteUnraisable(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->obj); Py_CLEAR(p->_size); Py_CLEAR(p->_array_interface); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) { int e; struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; if (p->obj) { e = (*v)(p->obj, a); if (e) return e; } if (p->_size) { e = (*v)(p->_size, a); if (e) return e; } if (p->_array_interface) { e = (*v)(p->_array_interface, a); if (e) return e; } if (p->view.obj) { e = (*v)(p->view.obj, a); if (e) return e; } return 0; } static int __pyx_tp_clear_memoryview(PyObject *o) { struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; PyObject* tmp; tmp = ((PyObject*)p->obj); p->obj = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->_size); p->_size = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->_array_interface); p->_array_interface = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); Py_CLEAR(p->view.obj); return 0; } static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) { PyObject *r; PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); Py_DECREF(x); return r; } static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) { if (v) { return __pyx_memoryview___setitem__(o, i, v); } else { PyErr_Format(PyExc_NotImplementedError, "Subscript deletion not supported by %s", Py_TYPE(o)->tp_name); return -1; } } static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_transpose(o); } static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview__get__base(o); } static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_shape(o); } static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_strides(o); } static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_suboffsets(o); } static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_ndim(o); } static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_itemsize(o); } static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_nbytes(o); } static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_size(o); } static PyMethodDef __pyx_methods_memoryview[] = { {__Pyx_NAMESTR("is_c_contig"), (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, __Pyx_DOCSTR(0)}, {__Pyx_NAMESTR("is_f_contig"), (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, __Pyx_DOCSTR(0)}, {__Pyx_NAMESTR("copy"), (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, __Pyx_DOCSTR(0)}, {__Pyx_NAMESTR("copy_fortran"), (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, __Pyx_DOCSTR(0)}, {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets_memoryview[] = { {(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, 0, 0}, {(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, 0, 0}, {(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, 0, 0}, {(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, 0, 0}, {(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, 0, 0}, {(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, 0, 0}, {(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, 0, 0}, {(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, 0, 0}, {(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, 0, 0}, {0, 0, 0, 0, 0} }; static PySequenceMethods __pyx_tp_as_sequence_memoryview = { __pyx_memoryview___len__, /*sq_length*/ 0, /*sq_concat*/ 0, /*sq_repeat*/ __pyx_sq_item_memoryview, /*sq_item*/ 0, /*sq_slice*/ 0, /*sq_ass_item*/ 0, /*sq_ass_slice*/ 0, /*sq_contains*/ 0, /*sq_inplace_concat*/ 0, /*sq_inplace_repeat*/ }; static PyMappingMethods __pyx_tp_as_mapping_memoryview = { __pyx_memoryview___len__, /*mp_length*/ __pyx_memoryview___getitem__, /*mp_subscript*/ __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/ }; static PyBufferProcs __pyx_tp_as_buffer_memoryview = { #if PY_MAJOR_VERSION < 3 0, /*bf_getreadbuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getwritebuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getsegcount*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getcharbuffer*/ #endif #if PY_VERSION_HEX >= 0x02060000 __pyx_memoryview_getbuffer, /*bf_getbuffer*/ #endif #if PY_VERSION_HEX >= 0x02060000 0, /*bf_releasebuffer*/ #endif }; static PyTypeObject __pyx_type___pyx_memoryview = { PyVarObject_HEAD_INIT(0, 0) __Pyx_NAMESTR("PyMca5.PyMcaPhysics.xas._xas.memoryview"), /*tp_name*/ sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_memoryview, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #else 0, /*reserved*/ #endif __pyx_memoryview___repr__, /*tp_repr*/ 0, /*tp_as_number*/ &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/ &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ __pyx_memoryview___str__, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ 0, /*tp_doc*/ __pyx_tp_traverse_memoryview, /*tp_traverse*/ __pyx_tp_clear_memoryview, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_memoryview, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets_memoryview, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_memoryview, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ #if PY_VERSION_HEX >= 0x02060000 0, /*tp_version_tag*/ #endif }; static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_array_obj *p; PyObject *o; o = (*t->tp_alloc)(t, 0); if (unlikely(!o)) return 0; p = ((struct __pyx_array_obj *)o); p->mode = ((PyObject*)Py_None); Py_INCREF(Py_None); p->_format = ((PyObject*)Py_None); Py_INCREF(Py_None); if (unlikely(__pyx_array___cinit__(o, a, k) < 0)) { Py_DECREF(o); o = 0; } return o; } static void __pyx_tp_dealloc_array(PyObject *o) { struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; PyObject_GC_UnTrack(o); { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_array___dealloc__(o); if (PyErr_Occurred()) PyErr_WriteUnraisable(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->mode); Py_CLEAR(p->_format); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_array(PyObject *o, visitproc v, void *a) { int e; struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; if (p->mode) { e = (*v)(p->mode, a); if (e) return e; } if (p->_format) { e = (*v)(p->_format, a); if (e) return e; } return 0; } static int __pyx_tp_clear_array(PyObject *o) { struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; PyObject* tmp; tmp = ((PyObject*)p->mode); p->mode = ((PyObject*)Py_None); Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->_format); p->_format = ((PyObject*)Py_None); Py_INCREF(Py_None); Py_XDECREF(tmp); return 0; } static PyObject *__pyx_sq_item_array(PyObject *o, Py_ssize_t i) { PyObject *r; PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); Py_DECREF(x); return r; } static int __pyx_mp_ass_subscript_array(PyObject *o, PyObject *i, PyObject *v) { if (v) { return __pyx_array___setitem__(o, i, v); } else { PyErr_Format(PyExc_NotImplementedError, "Subscript deletion not supported by %s", Py_TYPE(o)->tp_name); return -1; } } static PyObject *__pyx_tp_getattro_array(PyObject *o, PyObject *n) { PyObject *v = PyObject_GenericGetAttr(o, n); if (!v && PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); v = __pyx_array___getattr__(o, n); } return v; } static PyObject *__pyx_getprop___pyx_array_memview(PyObject *o, CYTHON_UNUSED void *x) { return get_memview(o); } static PyMethodDef __pyx_methods_array[] = { {__Pyx_NAMESTR("__getattr__"), (PyCFunction)__pyx_array___getattr__, METH_O|METH_COEXIST, __Pyx_DOCSTR(0)}, {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets_array[] = { {(char *)"memview", __pyx_getprop___pyx_array_memview, 0, 0, 0}, {0, 0, 0, 0, 0} }; static PySequenceMethods __pyx_tp_as_sequence_array = { 0, /*sq_length*/ 0, /*sq_concat*/ 0, /*sq_repeat*/ __pyx_sq_item_array, /*sq_item*/ 0, /*sq_slice*/ 0, /*sq_ass_item*/ 0, /*sq_ass_slice*/ 0, /*sq_contains*/ 0, /*sq_inplace_concat*/ 0, /*sq_inplace_repeat*/ }; static PyMappingMethods __pyx_tp_as_mapping_array = { 0, /*mp_length*/ __pyx_array___getitem__, /*mp_subscript*/ __pyx_mp_ass_subscript_array, /*mp_ass_subscript*/ }; static PyBufferProcs __pyx_tp_as_buffer_array = { #if PY_MAJOR_VERSION < 3 0, /*bf_getreadbuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getwritebuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getsegcount*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getcharbuffer*/ #endif #if PY_VERSION_HEX >= 0x02060000 __pyx_array_getbuffer, /*bf_getbuffer*/ #endif #if PY_VERSION_HEX >= 0x02060000 0, /*bf_releasebuffer*/ #endif }; static PyTypeObject __pyx_type___pyx_array = { PyVarObject_HEAD_INIT(0, 0) __Pyx_NAMESTR("PyMca5.PyMcaPhysics.xas._xas.array"), /*tp_name*/ sizeof(struct __pyx_array_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_array, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #else 0, /*reserved*/ #endif 0, /*tp_repr*/ 0, /*tp_as_number*/ &__pyx_tp_as_sequence_array, /*tp_as_sequence*/ &__pyx_tp_as_mapping_array, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ 0, /*tp_str*/ __pyx_tp_getattro_array, /*tp_getattro*/ 0, /*tp_setattro*/ &__pyx_tp_as_buffer_array, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ 0, /*tp_doc*/ __pyx_tp_traverse_array, /*tp_traverse*/ __pyx_tp_clear_array, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_array, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets_array, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_array, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ #if PY_VERSION_HEX >= 0x02060000 0, /*tp_version_tag*/ #endif }; static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) { struct __pyx_MemviewEnum_obj *p; PyObject *o; o = (*t->tp_alloc)(t, 0); if (unlikely(!o)) return 0; p = ((struct __pyx_MemviewEnum_obj *)o); p->name = Py_None; Py_INCREF(Py_None); return o; } static void __pyx_tp_dealloc_Enum(PyObject *o) { struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; PyObject_GC_UnTrack(o); Py_CLEAR(p->name); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) { int e; struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; if (p->name) { e = (*v)(p->name, a); if (e) return e; } return 0; } static int __pyx_tp_clear_Enum(PyObject *o) { struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; PyObject* tmp; tmp = ((PyObject*)p->name); p->name = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); return 0; } static PyMethodDef __pyx_methods_Enum[] = { {0, 0, 0, 0} }; static PyTypeObject __pyx_type___pyx_MemviewEnum = { PyVarObject_HEAD_INIT(0, 0) __Pyx_NAMESTR("PyMca5.PyMcaPhysics.xas._xas.Enum"), /*tp_name*/ sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_Enum, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #else 0, /*reserved*/ #endif __pyx_MemviewEnum___repr__, /*tp_repr*/ 0, /*tp_as_number*/ 0, /*tp_as_sequence*/ 0, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ 0, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ 0, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ 0, /*tp_doc*/ __pyx_tp_traverse_Enum, /*tp_traverse*/ __pyx_tp_clear_Enum, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_Enum, /*tp_methods*/ 0, /*tp_members*/ 0, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ __pyx_MemviewEnum___init__, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_Enum, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ #if PY_VERSION_HEX >= 0x02060000 0, /*tp_version_tag*/ #endif }; static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice; static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_memoryviewslice_obj *p; PyObject *o = __pyx_tp_new_memoryview(t, a, k); if (unlikely(!o)) return 0; p = ((struct __pyx_memoryviewslice_obj *)o); p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice; p->from_object = Py_None; Py_INCREF(Py_None); p->from_slice.memview = NULL; return o; } static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) { struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; PyObject_GC_UnTrack(o); { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_memoryviewslice___dealloc__(o); if (PyErr_Occurred()) PyErr_WriteUnraisable(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->from_object); PyObject_GC_Track(o); __pyx_tp_dealloc_memoryview(o); } static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) { int e; struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e; if (p->from_object) { e = (*v)(p->from_object, a); if (e) return e; } return 0; } static int __pyx_tp_clear__memoryviewslice(PyObject *o) { struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; PyObject* tmp; __pyx_tp_clear_memoryview(o); tmp = ((PyObject*)p->from_object); p->from_object = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); __PYX_XDEC_MEMVIEW(&p->from_slice, 1); return 0; } static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryviewslice__get__base(o); } static PyMethodDef __pyx_methods__memoryviewslice[] = { {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = { {(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, 0, 0}, {0, 0, 0, 0, 0} }; static PyTypeObject __pyx_type___pyx_memoryviewslice = { PyVarObject_HEAD_INIT(0, 0) __Pyx_NAMESTR("PyMca5.PyMcaPhysics.xas._xas._memoryviewslice"), /*tp_name*/ sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #else 0, /*reserved*/ #endif #if CYTHON_COMPILING_IN_PYPY __pyx_memoryview___repr__, /*tp_repr*/ #else 0, /*tp_repr*/ #endif 0, /*tp_as_number*/ 0, /*tp_as_sequence*/ 0, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ #if CYTHON_COMPILING_IN_PYPY __pyx_memoryview___str__, /*tp_str*/ #else 0, /*tp_str*/ #endif 0, /*tp_getattro*/ 0, /*tp_setattro*/ 0, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ __Pyx_DOCSTR("Internal class for passing memoryview slices to Python"), /*tp_doc*/ __pyx_tp_traverse__memoryviewslice, /*tp_traverse*/ __pyx_tp_clear__memoryviewslice, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods__memoryviewslice, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets__memoryviewslice, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new__memoryviewslice, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ #if PY_VERSION_HEX >= 0x02060000 0, /*tp_version_tag*/ #endif }; static PyMethodDef __pyx_methods[] = { {0, 0, 0, 0} }; #if PY_MAJOR_VERSION >= 3 static struct PyModuleDef __pyx_moduledef = { #if PY_VERSION_HEX < 0x03020000 { PyObject_HEAD_INIT(NULL) NULL, 0, NULL }, #else PyModuleDef_HEAD_INIT, #endif __Pyx_NAMESTR("_xas"), 0, /* m_doc */ -1, /* m_size */ __pyx_methods /* m_methods */, NULL, /* m_reload */ NULL, /* m_traverse */ NULL, /* m_clear */ NULL /* m_free */ }; #endif static __Pyx_StringTabEntry __pyx_string_tab[] = { {&__pyx_kp_u_11, __pyx_k_11, sizeof(__pyx_k_11), 0, 1, 0, 0}, {&__pyx_kp_u_13, __pyx_k_13, sizeof(__pyx_k_13), 0, 1, 0, 0}, {&__pyx_kp_u_15, __pyx_k_15, sizeof(__pyx_k_15), 0, 1, 0, 0}, {&__pyx_kp_u_16, __pyx_k_16, sizeof(__pyx_k_16), 0, 1, 0, 0}, {&__pyx_kp_u_19, __pyx_k_19, sizeof(__pyx_k_19), 0, 1, 0, 0}, {&__pyx_kp_s_21, __pyx_k_21, sizeof(__pyx_k_21), 0, 0, 1, 0}, {&__pyx_kp_s_23, __pyx_k_23, sizeof(__pyx_k_23), 0, 0, 1, 0}, {&__pyx_kp_s_26, __pyx_k_26, sizeof(__pyx_k_26), 0, 0, 1, 0}, {&__pyx_kp_s_28, __pyx_k_28, sizeof(__pyx_k_28), 0, 0, 1, 0}, {&__pyx_kp_s_29, __pyx_k_29, sizeof(__pyx_k_29), 0, 0, 1, 0}, {&__pyx_kp_s_31, __pyx_k_31, sizeof(__pyx_k_31), 0, 0, 1, 0}, {&__pyx_kp_s_33, __pyx_k_33, sizeof(__pyx_k_33), 0, 0, 1, 0}, {&__pyx_kp_s_35, __pyx_k_35, sizeof(__pyx_k_35), 0, 0, 1, 0}, {&__pyx_kp_s_37, __pyx_k_37, sizeof(__pyx_k_37), 0, 0, 1, 0}, {&__pyx_kp_s_39, __pyx_k_39, sizeof(__pyx_k_39), 0, 0, 1, 0}, {&__pyx_kp_s_40, __pyx_k_40, sizeof(__pyx_k_40), 0, 0, 1, 0}, {&__pyx_kp_s_43, __pyx_k_43, sizeof(__pyx_k_43), 0, 0, 1, 0}, {&__pyx_kp_s_45, __pyx_k_45, sizeof(__pyx_k_45), 0, 0, 1, 0}, {&__pyx_kp_s_50, __pyx_k_50, sizeof(__pyx_k_50), 0, 0, 1, 0}, {&__pyx_kp_s_52, __pyx_k_52, sizeof(__pyx_k_52), 0, 0, 1, 0}, {&__pyx_kp_s_56, __pyx_k_56, sizeof(__pyx_k_56), 0, 0, 1, 0}, {&__pyx_n_s_57, __pyx_k_57, sizeof(__pyx_k_57), 0, 0, 1, 1}, {&__pyx_kp_s_67, __pyx_k_67, sizeof(__pyx_k_67), 0, 0, 1, 0}, {&__pyx_kp_s_69, __pyx_k_69, sizeof(__pyx_k_69), 0, 0, 1, 0}, {&__pyx_kp_s_71, __pyx_k_71, sizeof(__pyx_k_71), 0, 0, 1, 0}, {&__pyx_kp_s_73, __pyx_k_73, sizeof(__pyx_k_73), 0, 0, 1, 0}, {&__pyx_kp_s_75, __pyx_k_75, sizeof(__pyx_k_75), 0, 0, 1, 0}, {&__pyx_kp_u_9, __pyx_k_9, sizeof(__pyx_k_9), 0, 1, 0, 0}, {&__pyx_n_s__ASCII, __pyx_k__ASCII, sizeof(__pyx_k__ASCII), 0, 0, 1, 1}, {&__pyx_n_s__Ellipsis, __pyx_k__Ellipsis, sizeof(__pyx_k__Ellipsis), 0, 0, 1, 1}, {&__pyx_n_s__IndexError, __pyx_k__IndexError, sizeof(__pyx_k__IndexError), 0, 0, 1, 1}, {&__pyx_n_s__MemoryError, __pyx_k__MemoryError, sizeof(__pyx_k__MemoryError), 0, 0, 1, 1}, {&__pyx_n_b__O, __pyx_k__O, sizeof(__pyx_k__O), 0, 0, 0, 1}, {&__pyx_n_s__RuntimeError, __pyx_k__RuntimeError, sizeof(__pyx_k__RuntimeError), 0, 0, 1, 1}, {&__pyx_n_s__TypeError, __pyx_k__TypeError, sizeof(__pyx_k__TypeError), 0, 0, 1, 1}, {&__pyx_n_s__ValueError, __pyx_k__ValueError, sizeof(__pyx_k__ValueError), 0, 0, 1, 1}, {&__pyx_n_s____class__, __pyx_k____class__, sizeof(__pyx_k____class__), 0, 0, 1, 1}, {&__pyx_n_s____import__, __pyx_k____import__, sizeof(__pyx_k____import__), 0, 0, 1, 1}, {&__pyx_n_s____len__, __pyx_k____len__, sizeof(__pyx_k____len__), 0, 0, 1, 1}, {&__pyx_n_s____main__, __pyx_k____main__, sizeof(__pyx_k____main__), 0, 0, 1, 1}, {&__pyx_n_s____name__, __pyx_k____name__, sizeof(__pyx_k____name__), 0, 0, 1, 1}, {&__pyx_n_s____pyx_getbuffer, __pyx_k____pyx_getbuffer, sizeof(__pyx_k____pyx_getbuffer), 0, 0, 1, 1}, {&__pyx_n_s____pyx_releasebuffer, __pyx_k____pyx_releasebuffer, sizeof(__pyx_k____pyx_releasebuffer), 0, 0, 1, 1}, {&__pyx_n_s____pyx_vtable__, __pyx_k____pyx_vtable__, sizeof(__pyx_k____pyx_vtable__), 0, 0, 1, 1}, {&__pyx_n_s____test__, __pyx_k____test__, sizeof(__pyx_k____test__), 0, 0, 1, 1}, {&__pyx_n_s___besselMultiple, __pyx_k___besselMultiple, sizeof(__pyx_k___besselMultiple), 0, 0, 1, 1}, {&__pyx_n_s___besselSingle, __pyx_k___besselSingle, sizeof(__pyx_k___besselSingle), 0, 0, 1, 1}, {&__pyx_n_s__a, __pyx_k__a, sizeof(__pyx_k__a), 0, 0, 1, 1}, {&__pyx_n_s__abs, __pyx_k__abs, sizeof(__pyx_k__abs), 0, 0, 1, 1}, {&__pyx_n_s__allocate_buffer, __pyx_k__allocate_buffer, sizeof(__pyx_k__allocate_buffer), 0, 0, 1, 1}, {&__pyx_n_s__array, __pyx_k__array, sizeof(__pyx_k__array), 0, 0, 1, 1}, {&__pyx_n_s__ascontiguousarray, __pyx_k__ascontiguousarray, sizeof(__pyx_k__ascontiguousarray), 0, 0, 1, 1}, {&__pyx_n_s__base, __pyx_k__base, sizeof(__pyx_k__base), 0, 0, 1, 1}, {&__pyx_n_s__buffer_xh0, __pyx_k__buffer_xh0, sizeof(__pyx_k__buffer_xh0), 0, 0, 1, 1}, {&__pyx_n_s__buffer_xl0, __pyx_k__buffer_xl0, sizeof(__pyx_k__buffer_xl0), 0, 0, 1, 1}, {&__pyx_n_b__c, __pyx_k__c, sizeof(__pyx_k__c), 0, 0, 0, 1}, {&__pyx_n_s__c, __pyx_k__c, sizeof(__pyx_k__c), 0, 0, 1, 1}, {&__pyx_n_u__c, __pyx_k__c, sizeof(__pyx_k__c), 0, 1, 0, 1}, {&__pyx_n_s__c_c, __pyx_k__c_c, sizeof(__pyx_k__c_c), 0, 0, 1, 1}, {&__pyx_n_s__c_nc, __pyx_k__c_nc, sizeof(__pyx_k__c_nc), 0, 0, 1, 1}, {&__pyx_n_s__c_npts, __pyx_k__c_npts, sizeof(__pyx_k__c_npts), 0, 0, 1, 1}, {&__pyx_n_s__c_nr, __pyx_k__c_nr, sizeof(__pyx_k__c_nr), 0, 0, 1, 1}, {&__pyx_n_s__c_sizeC, __pyx_k__c_sizeC, sizeof(__pyx_k__c_sizeC), 0, 0, 1, 1}, {&__pyx_n_s__c_w, __pyx_k__c_w, sizeof(__pyx_k__c_w), 0, 0, 1, 1}, {&__pyx_n_s__c_x, __pyx_k__c_x, sizeof(__pyx_k__c_x), 0, 0, 1, 1}, {&__pyx_n_s__c_xh, __pyx_k__c_xh, sizeof(__pyx_k__c_xh), 0, 0, 1, 1}, {&__pyx_n_s__c_xl, __pyx_k__c_xl, sizeof(__pyx_k__c_xl), 0, 0, 1, 1}, {&__pyx_n_s__c_y, __pyx_k__c_y, sizeof(__pyx_k__c_y), 0, 0, 1, 1}, {&__pyx_n_s__copy, __pyx_k__copy, sizeof(__pyx_k__copy), 0, 0, 1, 1}, {&__pyx_n_s__decode, __pyx_k__decode, sizeof(__pyx_k__decode), 0, 0, 1, 1}, {&__pyx_n_s__df, __pyx_k__df, sizeof(__pyx_k__df), 0, 0, 1, 1}, {&__pyx_n_s__dtype, __pyx_k__dtype, sizeof(__pyx_k__dtype), 0, 0, 1, 1}, {&__pyx_n_s__dtype_is_object, __pyx_k__dtype_is_object, sizeof(__pyx_k__dtype_is_object), 0, 0, 1, 1}, {&__pyx_n_s__encode, __pyx_k__encode, sizeof(__pyx_k__encode), 0, 0, 1, 1}, {&__pyx_n_s__enumerate, __pyx_k__enumerate, sizeof(__pyx_k__enumerate), 0, 0, 1, 1}, {&__pyx_n_s__error, __pyx_k__error, sizeof(__pyx_k__error), 0, 0, 1, 1}, {&__pyx_n_s__extend, __pyx_k__extend, sizeof(__pyx_k__extend), 0, 0, 1, 1}, {&__pyx_n_s__flags, __pyx_k__flags, sizeof(__pyx_k__flags), 0, 0, 1, 1}, {&__pyx_n_s__float64, __pyx_k__float64, sizeof(__pyx_k__float64), 0, 0, 1, 1}, {&__pyx_n_s__format, __pyx_k__format, sizeof(__pyx_k__format), 0, 0, 1, 1}, {&__pyx_n_b__fortran, __pyx_k__fortran, sizeof(__pyx_k__fortran), 0, 0, 0, 1}, {&__pyx_n_s__fortran, __pyx_k__fortran, sizeof(__pyx_k__fortran), 0, 0, 1, 1}, {&__pyx_n_s__i, __pyx_k__i, sizeof(__pyx_k__i), 0, 0, 1, 1}, {&__pyx_n_s__i1, __pyx_k__i1, sizeof(__pyx_k__i1), 0, 0, 1, 1}, {&__pyx_n_s__ibl, __pyx_k__ibl, sizeof(__pyx_k__ibl), 0, 0, 1, 1}, {&__pyx_n_s__id, __pyx_k__id, sizeof(__pyx_k__id), 0, 0, 1, 1}, {&__pyx_n_s__ik, __pyx_k__ik, sizeof(__pyx_k__ik), 0, 0, 1, 1}, {&__pyx_n_s__int32, __pyx_k__int32, sizeof(__pyx_k__int32), 0, 0, 1, 1}, {&__pyx_n_s__itemsize, __pyx_k__itemsize, sizeof(__pyx_k__itemsize), 0, 0, 1, 1}, {&__pyx_n_s__j, __pyx_k__j, sizeof(__pyx_k__j), 0, 0, 1, 1}, {&__pyx_n_s__j0, __pyx_k__j0, sizeof(__pyx_k__j0), 0, 0, 1, 1}, {&__pyx_n_s__k, __pyx_k__k, sizeof(__pyx_k__k), 0, 0, 1, 1}, {&__pyx_n_s__m, __pyx_k__m, sizeof(__pyx_k__m), 0, 0, 1, 1}, {&__pyx_n_s__memview, __pyx_k__memview, sizeof(__pyx_k__memview), 0, 0, 1, 1}, {&__pyx_n_s__mode, __pyx_k__mode, sizeof(__pyx_k__mode), 0, 0, 1, 1}, {&__pyx_n_s__n, __pyx_k__n, sizeof(__pyx_k__n), 0, 0, 1, 1}, {&__pyx_n_s__n1, __pyx_k__n1, sizeof(__pyx_k__n1), 0, 0, 1, 1}, {&__pyx_n_s__name, __pyx_k__name, sizeof(__pyx_k__name), 0, 0, 1, 1}, {&__pyx_n_s__nbs, __pyx_k__nbs, sizeof(__pyx_k__nbs), 0, 0, 1, 1}, {&__pyx_n_s__nc, __pyx_k__nc, sizeof(__pyx_k__nc), 0, 0, 1, 1}, {&__pyx_n_s__ncol, __pyx_k__ncol, sizeof(__pyx_k__ncol), 0, 0, 1, 1}, {&__pyx_n_s__ndim, __pyx_k__ndim, sizeof(__pyx_k__ndim), 0, 0, 1, 1}, {&__pyx_n_s__ne_idl, __pyx_k__ne_idl, sizeof(__pyx_k__ne_idl), 0, 0, 1, 1}, {&__pyx_n_s__ni, __pyx_k__ni, sizeof(__pyx_k__ni), 0, 0, 1, 1}, {&__pyx_n_s__ni1, __pyx_k__ni1, sizeof(__pyx_k__ni1), 0, 0, 1, 1}, {&__pyx_n_s__nk, __pyx_k__nk, sizeof(__pyx_k__nk), 0, 0, 1, 1}, {&__pyx_n_s__nm1, __pyx_k__nm1, sizeof(__pyx_k__nm1), 0, 0, 1, 1}, {&__pyx_n_s__npts, __pyx_k__npts, sizeof(__pyx_k__npts), 0, 0, 1, 1}, {&__pyx_n_s__nr, __pyx_k__nr, sizeof(__pyx_k__nr), 0, 0, 1, 1}, {&__pyx_n_s__ns, __pyx_k__ns, sizeof(__pyx_k__ns), 0, 0, 1, 1}, {&__pyx_n_s__ns1, __pyx_k__ns1, sizeof(__pyx_k__ns1), 0, 0, 1, 1}, {&__pyx_n_s__numpy, __pyx_k__numpy, sizeof(__pyx_k__numpy), 0, 0, 1, 1}, {&__pyx_n_s__obj, __pyx_k__obj, sizeof(__pyx_k__obj), 0, 0, 1, 1}, {&__pyx_n_s__pack, __pyx_k__pack, sizeof(__pyx_k__pack), 0, 0, 1, 1}, {&__pyx_n_s__polspl, __pyx_k__polspl, sizeof(__pyx_k__polspl), 0, 0, 1, 1}, {&__pyx_n_s__polspl2, __pyx_k__polspl2, sizeof(__pyx_k__polspl2), 0, 0, 1, 1}, {&__pyx_n_s__power, __pyx_k__power, sizeof(__pyx_k__power), 0, 0, 1, 1}, {&__pyx_n_s__range, __pyx_k__range, sizeof(__pyx_k__range), 0, 0, 1, 1}, {&__pyx_n_s__result, __pyx_k__result, sizeof(__pyx_k__result), 0, 0, 1, 1}, {&__pyx_n_s__shape, __pyx_k__shape, sizeof(__pyx_k__shape), 0, 0, 1, 1}, {&__pyx_n_s__size, __pyx_k__size, sizeof(__pyx_k__size), 0, 0, 1, 1}, {&__pyx_n_s__start, __pyx_k__start, sizeof(__pyx_k__start), 0, 0, 1, 1}, {&__pyx_n_s__step, __pyx_k__step, sizeof(__pyx_k__step), 0, 0, 1, 1}, {&__pyx_n_s__stop, __pyx_k__stop, sizeof(__pyx_k__stop), 0, 0, 1, 1}, {&__pyx_n_s__struct, __pyx_k__struct, sizeof(__pyx_k__struct), 0, 0, 1, 1}, {&__pyx_n_s__t, __pyx_k__t, sizeof(__pyx_k__t), 0, 0, 1, 1}, {&__pyx_n_s__unpack, __pyx_k__unpack, sizeof(__pyx_k__unpack), 0, 0, 1, 1}, {&__pyx_n_s__w, __pyx_k__w, sizeof(__pyx_k__w), 0, 0, 1, 1}, {&__pyx_n_s__x, __pyx_k__x, sizeof(__pyx_k__x), 0, 0, 1, 1}, {&__pyx_n_s__xh, __pyx_k__xh, sizeof(__pyx_k__xh), 0, 0, 1, 1}, {&__pyx_n_s__xh0, __pyx_k__xh0, sizeof(__pyx_k__xh0), 0, 0, 1, 1}, {&__pyx_n_s__xk, __pyx_k__xk, sizeof(__pyx_k__xk), 0, 0, 1, 1}, {&__pyx_n_s__xk0, __pyx_k__xk0, sizeof(__pyx_k__xk0), 0, 0, 1, 1}, {&__pyx_n_s__xl, __pyx_k__xl, sizeof(__pyx_k__xl), 0, 0, 1, 1}, {&__pyx_n_s__xl0, __pyx_k__xl0, sizeof(__pyx_k__xl0), 0, 0, 1, 1}, {&__pyx_n_s__xrange, __pyx_k__xrange, sizeof(__pyx_k__xrange), 0, 0, 1, 1}, {&__pyx_n_s__y, __pyx_k__y, sizeof(__pyx_k__y), 0, 0, 1, 1}, {&__pyx_n_s__zeros, __pyx_k__zeros, sizeof(__pyx_k__zeros), 0, 0, 1, 1}, {0, 0, 0, 0, 0, 0, 0} }; static int __Pyx_InitCachedBuiltins(void) { __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s__range); if (!__pyx_builtin_range) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 101; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_ValueError = __Pyx_GetBuiltinName(__pyx_n_s__ValueError); if (!__pyx_builtin_ValueError) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_RuntimeError = __Pyx_GetBuiltinName(__pyx_n_s__RuntimeError); if (!__pyx_builtin_RuntimeError) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_MemoryError = __Pyx_GetBuiltinName(__pyx_n_s__MemoryError); if (!__pyx_builtin_MemoryError) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 141; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_enumerate = __Pyx_GetBuiltinName(__pyx_n_s__enumerate); if (!__pyx_builtin_enumerate) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 145; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_Ellipsis = __Pyx_GetBuiltinName(__pyx_n_s__Ellipsis); if (!__pyx_builtin_Ellipsis) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 363; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_TypeError = __Pyx_GetBuiltinName(__pyx_n_s__TypeError); if (!__pyx_builtin_TypeError) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 392; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #if PY_MAJOR_VERSION >= 3 __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s__range); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s__xrange); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif __pyx_builtin_id = __Pyx_GetBuiltinName(__pyx_n_s__id); if (!__pyx_builtin_id) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 576; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_IndexError = __Pyx_GetBuiltinName(__pyx_n_s__IndexError); if (!__pyx_builtin_IndexError) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} return 0; __pyx_L1_error:; return -1; } static int __Pyx_InitCachedConstants(void) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__Pyx_InitCachedConstants", 0); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":52 * * def polspl(x, y, w, npts, xl, xh, nr, nc): * c = numpy.zeros((36,), dtype=numpy.float64) # <<<<<<<<<<<<<< * cdef double[:] c_c = c * cdef double[:] c_x = numpy.ascontiguousarray(x, */ __pyx_k_tuple_1 = PyTuple_Pack(1, __pyx_int_36); if (unlikely(!__pyx_k_tuple_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_1); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_1)); __pyx_k_tuple_2 = PyTuple_Pack(1, ((PyObject *)__pyx_k_tuple_1)); if (unlikely(!__pyx_k_tuple_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_2); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_2)); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":85 * numpy.ascontiguousarray(xh0, numpy.float64) * cdef double * xh = buffer_xh0.data * df = numpy.zeros(26) # <<<<<<<<<<<<<< * a = numpy.zeros((36,37)) * nbs = numpy.zeros(11,dtype=int) */ __pyx_k_tuple_3 = PyTuple_Pack(1, __pyx_int_26); if (unlikely(!__pyx_k_tuple_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 85; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_3); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_3)); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":86 * cdef double * xh = buffer_xh0.data * df = numpy.zeros(26) * a = numpy.zeros((36,37)) # <<<<<<<<<<<<<< * nbs = numpy.zeros(11,dtype=int) * cdef double[:] xk0 = numpy.zeros(10) */ __pyx_k_tuple_4 = PyTuple_Pack(2, __pyx_int_36, __pyx_int_37); if (unlikely(!__pyx_k_tuple_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 86; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_4); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_4)); __pyx_k_tuple_5 = PyTuple_Pack(1, ((PyObject *)__pyx_k_tuple_4)); if (unlikely(!__pyx_k_tuple_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 86; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_5); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_5)); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":87 * df = numpy.zeros(26) * a = numpy.zeros((36,37)) * nbs = numpy.zeros(11,dtype=int) # <<<<<<<<<<<<<< * cdef double[:] xk0 = numpy.zeros(10) * cdef double * xk = &xk0[0] */ __pyx_k_tuple_6 = PyTuple_Pack(1, __pyx_int_11); if (unlikely(!__pyx_k_tuple_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 87; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_6); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_6)); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":88 * a = numpy.zeros((36,37)) * nbs = numpy.zeros(11,dtype=int) * cdef double[:] xk0 = numpy.zeros(10) # <<<<<<<<<<<<<< * cdef double * xk = &xk0[0] * c = numpy.zeros(36) */ __pyx_k_tuple_7 = PyTuple_Pack(1, __pyx_int_10); if (unlikely(!__pyx_k_tuple_7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 88; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_7); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_7)); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":90 * cdef double[:] xk0 = numpy.zeros(10) * cdef double * xk = &xk0[0] * c = numpy.zeros(36) # <<<<<<<<<<<<<< * cdef int j=0 * cdef int i=0 */ __pyx_k_tuple_8 = PyTuple_Pack(1, __pyx_int_36); if (unlikely(!__pyx_k_tuple_8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 90; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_8); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_8)); /* "numpy.pxd":215 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) */ __pyx_k_tuple_10 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_9)); if (unlikely(!__pyx_k_tuple_10)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_10); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_10)); /* "numpy.pxd":219 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< * * info.buf = PyArray_DATA(self) */ __pyx_k_tuple_12 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_11)); if (unlikely(!__pyx_k_tuple_12)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_12); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_12)); /* "numpy.pxd":257 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" */ __pyx_k_tuple_14 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_13)); if (unlikely(!__pyx_k_tuple_14)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_14); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_14)); /* "numpy.pxd":799 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< * * if ((child.byteorder == c'>' and little_endian) or */ __pyx_k_tuple_17 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_16)); if (unlikely(!__pyx_k_tuple_17)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_17); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_17)); /* "numpy.pxd":803 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< * # One could encode it in the format string and have Cython * # complain instead, BUT: < and > in format strings also imply */ __pyx_k_tuple_18 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_13)); if (unlikely(!__pyx_k_tuple_18)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 803; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_18); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_18)); /* "numpy.pxd":823 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< * * # Until ticket #99 is fixed, use integers to avoid warnings */ __pyx_k_tuple_20 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_19)); if (unlikely(!__pyx_k_tuple_20)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_20); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_20)); /* "View.MemoryView":124 * * if not self.ndim: * raise ValueError("Empty shape tuple for cython.array") # <<<<<<<<<<<<<< * * if self.itemsize <= 0: */ __pyx_k_tuple_22 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_21)); if (unlikely(!__pyx_k_tuple_22)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_22); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_22)); /* "View.MemoryView":127 * * if self.itemsize <= 0: * raise ValueError("itemsize <= 0 for cython.array") # <<<<<<<<<<<<<< * * encode = getattr(format, 'encode', None) */ __pyx_k_tuple_24 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_23)); if (unlikely(!__pyx_k_tuple_24)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 127; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_24); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_24)); /* "View.MemoryView":131 * encode = getattr(format, 'encode', None) * if encode: * format = encode('ASCII') # <<<<<<<<<<<<<< * self._format = format * self.format = self._format */ __pyx_k_tuple_25 = PyTuple_Pack(1, ((PyObject *)__pyx_n_s__ASCII)); if (unlikely(!__pyx_k_tuple_25)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 131; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_25); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_25)); /* "View.MemoryView":141 * free(self._shape) * free(self._strides) * raise MemoryError("unable to allocate shape or strides.") # <<<<<<<<<<<<<< * * */ __pyx_k_tuple_27 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_26)); if (unlikely(!__pyx_k_tuple_27)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 141; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_27); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_27)); /* "View.MemoryView":166 * decode = getattr(mode, 'decode', None) * if decode: * mode = decode('ASCII') # <<<<<<<<<<<<<< * self.mode = mode * */ __pyx_k_tuple_30 = PyTuple_Pack(1, ((PyObject *)__pyx_n_s__ASCII)); if (unlikely(!__pyx_k_tuple_30)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 166; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_30); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_30)); /* "View.MemoryView":174 * self.data = malloc(self.len) * if not self.data: * raise MemoryError("unable to allocate array data.") # <<<<<<<<<<<<<< * * if self.dtype_is_object: */ __pyx_k_tuple_32 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_31)); if (unlikely(!__pyx_k_tuple_32)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 174; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_32); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_32)); /* "View.MemoryView":190 * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") # <<<<<<<<<<<<<< * info.buf = self.data * info.len = self.len */ __pyx_k_tuple_34 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_33)); if (unlikely(!__pyx_k_tuple_34)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_34); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_34)); /* "View.MemoryView":452 * result = struct.unpack(self.view.format, bytesitem) * except struct.error: * raise ValueError("Unable to convert item to object") # <<<<<<<<<<<<<< * else: * if len(self.view.format) == 1: */ __pyx_k_tuple_36 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_35)); if (unlikely(!__pyx_k_tuple_36)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_36); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_36)); /* "View.MemoryView":528 * if self.view.strides == NULL: * * raise ValueError("Buffer view does not expose strides") # <<<<<<<<<<<<<< * * return tuple([self.view.strides[i] for i in xrange(self.view.ndim)]) */ __pyx_k_tuple_38 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_37)); if (unlikely(!__pyx_k_tuple_38)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 528; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_38); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_38)); /* "View.MemoryView":643 * if item is Ellipsis: * if not seen_ellipsis: * result.extend([slice(None)] * (ndim - len(tup) + 1)) # <<<<<<<<<<<<<< * seen_ellipsis = True * else: */ __pyx_k_tuple_41 = PyTuple_Pack(1, Py_None); if (unlikely(!__pyx_k_tuple_41)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_41); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_41)); /* "View.MemoryView":646 * seen_ellipsis = True * else: * result.append(slice(None)) # <<<<<<<<<<<<<< * have_slices = True * else: */ __pyx_k_tuple_42 = PyTuple_Pack(1, Py_None); if (unlikely(!__pyx_k_tuple_42)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 646; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_42); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_42)); /* "View.MemoryView":657 * nslices = ndim - len(result) * if nslices: * result.extend([slice(None)] * nslices) # <<<<<<<<<<<<<< * * return have_slices or nslices, tuple(result) */ __pyx_k_tuple_44 = PyTuple_Pack(1, Py_None); if (unlikely(!__pyx_k_tuple_44)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_44); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_44)); /* "View.MemoryView":665 * for i in range(ndim): * if suboffsets[i] >= 0: * raise ValueError("Indirect dimensions not supported") # <<<<<<<<<<<<<< * * */ __pyx_k_tuple_46 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_45)); if (unlikely(!__pyx_k_tuple_46)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 665; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_46); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_46)); /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":35 * from bessel0 cimport j0Single, j0Multiple * * def j0(x): # <<<<<<<<<<<<<< * if hasattr(x, "__len__"): * return _besselMultiple(x) */ __pyx_k_tuple_54 = PyTuple_Pack(1, ((PyObject *)__pyx_n_s__x)); if (unlikely(!__pyx_k_tuple_54)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 35; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_54); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_54)); __pyx_k_codeobj_55 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_k_tuple_54, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_56, __pyx_n_s__j0, 35, __pyx_empty_bytes); if (unlikely(!__pyx_k_codeobj_55)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 35; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":41 * return _besselSingle(x) * * def _besselMultiple(x): # <<<<<<<<<<<<<< * result = numpy.array(x, copy=True, dtype=numpy.float64) * cdef double[:] c_x = result */ __pyx_k_tuple_58 = PyTuple_Pack(4, ((PyObject *)__pyx_n_s__x), ((PyObject *)__pyx_n_s__result), ((PyObject *)__pyx_n_s__c_x), ((PyObject *)__pyx_n_s__c_npts)); if (unlikely(!__pyx_k_tuple_58)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 41; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_58); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_58)); __pyx_k_codeobj_59 = (PyObject*)__Pyx_PyCode_New(1, 0, 4, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_k_tuple_58, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_56, __pyx_n_s___besselMultiple, 41, __pyx_empty_bytes); if (unlikely(!__pyx_k_codeobj_59)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 41; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":48 * return result * * def _besselSingle(double x): # <<<<<<<<<<<<<< * return j0Single(x) * */ __pyx_k_tuple_60 = PyTuple_Pack(2, ((PyObject *)__pyx_n_s__x), ((PyObject *)__pyx_n_s__x)); if (unlikely(!__pyx_k_tuple_60)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_60); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_60)); __pyx_k_codeobj_61 = (PyObject*)__Pyx_PyCode_New(1, 0, 2, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_k_tuple_60, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_56, __pyx_n_s___besselSingle, 48, __pyx_empty_bytes); if (unlikely(!__pyx_k_codeobj_61)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":51 * return j0Single(x) * * def polspl(x, y, w, npts, xl, xh, nr, nc): # <<<<<<<<<<<<<< * c = numpy.zeros((36,), dtype=numpy.float64) * cdef double[:] c_c = c */ __pyx_k_tuple_62 = PyTuple_Pack(19, ((PyObject *)__pyx_n_s__x), ((PyObject *)__pyx_n_s__y), ((PyObject *)__pyx_n_s__w), ((PyObject *)__pyx_n_s__npts), ((PyObject *)__pyx_n_s__xl), ((PyObject *)__pyx_n_s__xh), ((PyObject *)__pyx_n_s__nr), ((PyObject *)__pyx_n_s__nc), ((PyObject *)__pyx_n_s__c), ((PyObject *)__pyx_n_s__c_c), ((PyObject *)__pyx_n_s__c_x), ((PyObject *)__pyx_n_s__c_y), ((PyObject *)__pyx_n_s__c_w), ((PyObject *)__pyx_n_s__c_npts), ((PyObject *)__pyx_n_s__c_xl), ((PyObject *)__pyx_n_s__c_xh), ((PyObject *)__pyx_n_s__c_nr), ((PyObject *)__pyx_n_s__c_nc), ((PyObject *)__pyx_n_s__c_sizeC)); if (unlikely(!__pyx_k_tuple_62)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_62); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_62)); __pyx_k_codeobj_63 = (PyObject*)__Pyx_PyCode_New(8, 0, 19, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_k_tuple_62, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_56, __pyx_n_s__polspl, 51, __pyx_empty_bytes); if (unlikely(!__pyx_k_codeobj_63)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":73 * return c * * def polspl2(x,y,w,npts,xl0,xh0,nr,nc): # <<<<<<<<<<<<<< * * # ; */ __pyx_k_tuple_64 = PyTuple_Pack(36, ((PyObject *)__pyx_n_s__x), ((PyObject *)__pyx_n_s__y), ((PyObject *)__pyx_n_s__w), ((PyObject *)__pyx_n_s__npts), ((PyObject *)__pyx_n_s__xl0), ((PyObject *)__pyx_n_s__xh0), ((PyObject *)__pyx_n_s__nr), ((PyObject *)__pyx_n_s__nc), ((PyObject *)__pyx_n_s__buffer_xl0), ((PyObject *)__pyx_n_s__xl), ((PyObject *)__pyx_n_s__buffer_xh0), ((PyObject *)__pyx_n_s__xh), ((PyObject *)__pyx_n_s__df), ((PyObject *)__pyx_n_s__a), ((PyObject *)__pyx_n_s__nbs), ((PyObject *)__pyx_n_s__xk0), ((PyObject *)__pyx_n_s__xk), ((PyObject *)__pyx_n_s__c), ((PyObject *)__pyx_n_s__j), ((PyObject *)__pyx_n_s__i), ((PyObject *)__pyx_n_s__ne_idl), ((PyObject *)__pyx_n_s__n), ((PyObject *)__pyx_n_s__k), ((PyObject *)__pyx_n_s__ibl), ((PyObject *)__pyx_n_s__ns), ((PyObject *)__pyx_n_s__ns1), ((PyObject *)__pyx_n_s__t), ((PyObject *)__pyx_n_s__n1), ((PyObject *)__pyx_n_s__ncol), ((PyObject *)__pyx_n_s__nk), ((PyObject *)__pyx_n_s__ik), ((PyObject *)__pyx_n_s__i1), ((PyObject *)__pyx_n_s__nm1), ((PyObject *)__pyx_n_s__m), ((PyObject *)__pyx_n_s__ni), ((PyObject *)__pyx_n_s__ni1)); if (unlikely(!__pyx_k_tuple_64)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_64); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_64)); __pyx_k_codeobj_65 = (PyObject*)__Pyx_PyCode_New(8, 0, 36, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_k_tuple_64, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_56, __pyx_n_s__polspl2, 73, __pyx_empty_bytes); if (unlikely(!__pyx_k_codeobj_65)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":282 * return self.name * * cdef generic = Enum("") # <<<<<<<<<<<<<< * cdef strided = Enum("") # default * cdef indirect = Enum("") */ __pyx_k_tuple_68 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_67)); if (unlikely(!__pyx_k_tuple_68)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 282; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_68); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_68)); /* "View.MemoryView":283 * * cdef generic = Enum("") * cdef strided = Enum("") # default # <<<<<<<<<<<<<< * cdef indirect = Enum("") * */ __pyx_k_tuple_70 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_69)); if (unlikely(!__pyx_k_tuple_70)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 283; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_70); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_70)); /* "View.MemoryView":284 * cdef generic = Enum("") * cdef strided = Enum("") # default * cdef indirect = Enum("") # <<<<<<<<<<<<<< * * */ __pyx_k_tuple_72 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_71)); if (unlikely(!__pyx_k_tuple_72)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 284; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_72); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_72)); /* "View.MemoryView":287 * * * cdef contiguous = Enum("") # <<<<<<<<<<<<<< * cdef indirect_contiguous = Enum("") * */ __pyx_k_tuple_74 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_73)); if (unlikely(!__pyx_k_tuple_74)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 287; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_74); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_74)); /* "View.MemoryView":288 * * cdef contiguous = Enum("") * cdef indirect_contiguous = Enum("") # <<<<<<<<<<<<<< * * */ __pyx_k_tuple_76 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_75)); if (unlikely(!__pyx_k_tuple_76)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 288; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_76); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_76)); __Pyx_RefNannyFinishContext(); return 0; __pyx_L1_error:; __Pyx_RefNannyFinishContext(); return -1; } static int __Pyx_InitGlobals(void) { if (__Pyx_InitStrings(__pyx_string_tab) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_0 = PyInt_FromLong(0); if (unlikely(!__pyx_int_0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_1 = PyInt_FromLong(1); if (unlikely(!__pyx_int_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_2 = PyInt_FromLong(2); if (unlikely(!__pyx_int_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_neg_1 = PyInt_FromLong(-1); if (unlikely(!__pyx_int_neg_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_10 = PyInt_FromLong(10); if (unlikely(!__pyx_int_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_11 = PyInt_FromLong(11); if (unlikely(!__pyx_int_11)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_15 = PyInt_FromLong(15); if (unlikely(!__pyx_int_15)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_26 = PyInt_FromLong(26); if (unlikely(!__pyx_int_26)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_36 = PyInt_FromLong(36); if (unlikely(!__pyx_int_36)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_37 = PyInt_FromLong(37); if (unlikely(!__pyx_int_37)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; return 0; __pyx_L1_error:; return -1; } #if PY_MAJOR_VERSION < 3 PyMODINIT_FUNC init_xas(void); /*proto*/ PyMODINIT_FUNC init_xas(void) #else PyMODINIT_FUNC PyInit__xas(void); /*proto*/ PyMODINIT_FUNC PyInit__xas(void) #endif { PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannyDeclarations #if CYTHON_REFNANNY __Pyx_RefNanny = __Pyx_RefNannyImportAPI("refnanny"); if (!__Pyx_RefNanny) { PyErr_Clear(); __Pyx_RefNanny = __Pyx_RefNannyImportAPI("Cython.Runtime.refnanny"); if (!__Pyx_RefNanny) Py_FatalError("failed to import 'refnanny' module"); } #endif __Pyx_RefNannySetupContext("PyMODINIT_FUNC PyInit__xas(void)", 0); if ( __Pyx_check_binary_version() < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_empty_tuple = PyTuple_New(0); if (unlikely(!__pyx_empty_tuple)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_empty_bytes = PyBytes_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_bytes)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #ifdef __Pyx_CyFunction_USED if (__Pyx_CyFunction_init() < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif #ifdef __Pyx_FusedFunction_USED if (__pyx_FusedFunction_init() < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif #ifdef __Pyx_Generator_USED if (__pyx_Generator_init() < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif /*--- Library function declarations ---*/ /*--- Threads initialization code ---*/ #if defined(__PYX_FORCE_INIT_THREADS) && __PYX_FORCE_INIT_THREADS #ifdef WITH_THREAD /* Python build with threading support? */ PyEval_InitThreads(); #endif #endif /*--- Module creation code ---*/ #if PY_MAJOR_VERSION < 3 __pyx_m = Py_InitModule4(__Pyx_NAMESTR("_xas"), __pyx_methods, 0, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m); #else __pyx_m = PyModule_Create(&__pyx_moduledef); #endif if (unlikely(!__pyx_m)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_d = PyModule_GetDict(__pyx_m); if (unlikely(!__pyx_d)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} Py_INCREF(__pyx_d); #if PY_MAJOR_VERSION >= 3 { PyObject *modules = PyImport_GetModuleDict(); if (unlikely(!modules)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!PyDict_GetItemString(modules, "PyMca5.PyMcaPhysics.xas._xas")) { if (unlikely(PyDict_SetItemString(modules, "PyMca5.PyMcaPhysics.xas._xas", __pyx_m) < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } } #endif __pyx_b = PyImport_AddModule(__Pyx_NAMESTR(__Pyx_BUILTIN_MODULE_NAME)); if (unlikely(!__pyx_b)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #if CYTHON_COMPILING_IN_PYPY Py_INCREF(__pyx_b); #endif if (__Pyx_SetAttrString(__pyx_m, "__builtins__", __pyx_b) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; /*--- Initialize various global constants etc. ---*/ if (unlikely(__Pyx_InitGlobals() < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #if PY_MAJOR_VERSION < 3 && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT) if (__Pyx_init_sys_getdefaultencoding_params() < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif if (__pyx_module_is_main_PyMca5__PyMcaPhysics__xas___xas) { if (__Pyx_SetAttrString(__pyx_m, "__name__", __pyx_n_s____main__) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; } /*--- Builtin init code ---*/ if (unlikely(__Pyx_InitCachedBuiltins() < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /*--- Constants init code ---*/ if (unlikely(__Pyx_InitCachedConstants() < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /*--- Global init code ---*/ generic = Py_None; Py_INCREF(Py_None); strided = Py_None; Py_INCREF(Py_None); indirect = Py_None; Py_INCREF(Py_None); contiguous = Py_None; Py_INCREF(Py_None); indirect_contiguous = Py_None; Py_INCREF(Py_None); /*--- Variable export code ---*/ /*--- Function export code ---*/ /*--- Type init code ---*/ __pyx_vtabptr_memoryview = &__pyx_vtable_memoryview; __pyx_vtable_memoryview.get_item_pointer = (char *(*)(struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_get_item_pointer; __pyx_vtable_memoryview.is_slice = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_is_slice; __pyx_vtable_memoryview.setitem_slice_assignment = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *, PyObject *))__pyx_memoryview_setitem_slice_assignment; __pyx_vtable_memoryview.setitem_slice_assign_scalar = (PyObject *(*)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_setitem_slice_assign_scalar; __pyx_vtable_memoryview.setitem_indexed = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *, PyObject *))__pyx_memoryview_setitem_indexed; __pyx_vtable_memoryview.convert_item_to_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *))__pyx_memoryview_convert_item_to_object; __pyx_vtable_memoryview.assign_item_from_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *, PyObject *))__pyx_memoryview_assign_item_from_object; if (PyType_Ready(&__pyx_type___pyx_memoryview) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 308; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__Pyx_SetVtable(__pyx_type___pyx_memoryview.tp_dict, __pyx_vtabptr_memoryview) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 308; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_memoryview_type = &__pyx_type___pyx_memoryview; if (PyType_Ready(&__pyx_type___pyx_array) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 96; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_array_type = &__pyx_type___pyx_array; if (PyType_Ready(&__pyx_type___pyx_MemviewEnum) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 275; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_MemviewEnum_type = &__pyx_type___pyx_MemviewEnum; __pyx_vtabptr__memoryviewslice = &__pyx_vtable__memoryviewslice; __pyx_vtable__memoryviewslice.__pyx_base = *__pyx_vtabptr_memoryview; __pyx_vtable__memoryviewslice.__pyx_base.convert_item_to_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *))__pyx_memoryviewslice_convert_item_to_object; __pyx_vtable__memoryviewslice.__pyx_base.assign_item_from_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *, PyObject *))__pyx_memoryviewslice_assign_item_from_object; __pyx_type___pyx_memoryviewslice.tp_base = __pyx_memoryview_type; if (PyType_Ready(&__pyx_type___pyx_memoryviewslice) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 927; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__Pyx_SetVtable(__pyx_type___pyx_memoryviewslice.tp_dict, __pyx_vtabptr__memoryviewslice) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 927; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_memoryviewslice_type = &__pyx_type___pyx_memoryviewslice; /*--- Type import code ---*/ __pyx_ptype_7cpython_4type_type = __Pyx_ImportType(__Pyx_BUILTIN_MODULE_NAME, "type", #if CYTHON_COMPILING_IN_PYPY sizeof(PyTypeObject), #else sizeof(PyHeapTypeObject), #endif 0); if (unlikely(!__pyx_ptype_7cpython_4type_type)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 9; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_dtype = __Pyx_ImportType("numpy", "dtype", sizeof(PyArray_Descr), 0); if (unlikely(!__pyx_ptype_5numpy_dtype)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 155; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_flatiter = __Pyx_ImportType("numpy", "flatiter", sizeof(PyArrayIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_flatiter)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_broadcast = __Pyx_ImportType("numpy", "broadcast", sizeof(PyArrayMultiIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_broadcast)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 169; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_ndarray = __Pyx_ImportType("numpy", "ndarray", sizeof(PyArrayObject), 0); if (unlikely(!__pyx_ptype_5numpy_ndarray)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_ufunc = __Pyx_ImportType("numpy", "ufunc", sizeof(PyUFuncObject), 0); if (unlikely(!__pyx_ptype_5numpy_ufunc)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 861; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /*--- Variable import code ---*/ /*--- Function import code ---*/ /*--- Execution code ---*/ /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":30 * #############################################################################*[inserted by cython to avoid comment closer]/ * cimport cython * import numpy # <<<<<<<<<<<<<< * cimport numpy * from polspl cimport polspl as _polspl */ __pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__numpy), 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 30; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_d, __pyx_n_s__numpy, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 30; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":35 * from bessel0 cimport j0Single, j0Multiple * * def j0(x): # <<<<<<<<<<<<<< * if hasattr(x, "__len__"): * return _besselMultiple(x) */ __pyx_t_1 = PyCFunction_NewEx(&__pyx_mdef_6PyMca5_12PyMcaPhysics_3xas_4_xas_1j0, NULL, __pyx_n_s_57); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 35; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_d, __pyx_n_s__j0, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 35; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":41 * return _besselSingle(x) * * def _besselMultiple(x): # <<<<<<<<<<<<<< * result = numpy.array(x, copy=True, dtype=numpy.float64) * cdef double[:] c_x = result */ __pyx_t_1 = PyCFunction_NewEx(&__pyx_mdef_6PyMca5_12PyMcaPhysics_3xas_4_xas_3_besselMultiple, NULL, __pyx_n_s_57); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 41; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_d, __pyx_n_s___besselMultiple, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 41; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":48 * return result * * def _besselSingle(double x): # <<<<<<<<<<<<<< * return j0Single(x) * */ __pyx_t_1 = PyCFunction_NewEx(&__pyx_mdef_6PyMca5_12PyMcaPhysics_3xas_4_xas_5_besselSingle, NULL, __pyx_n_s_57); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_d, __pyx_n_s___besselSingle, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":51 * return j0Single(x) * * def polspl(x, y, w, npts, xl, xh, nr, nc): # <<<<<<<<<<<<<< * c = numpy.zeros((36,), dtype=numpy.float64) * cdef double[:] c_c = c */ __pyx_t_1 = PyCFunction_NewEx(&__pyx_mdef_6PyMca5_12PyMcaPhysics_3xas_4_xas_7polspl, NULL, __pyx_n_s_57); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_d, __pyx_n_s__polspl, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":73 * return c * * def polspl2(x,y,w,npts,xl0,xh0,nr,nc): # <<<<<<<<<<<<<< * * # ; */ __pyx_t_1 = PyCFunction_NewEx(&__pyx_mdef_6PyMca5_12PyMcaPhysics_3xas_4_xas_9polspl2, NULL, __pyx_n_s_57); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_d, __pyx_n_s__polspl2, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "C:\GIT\PYMCA_REFERENCE\pymca\PyMca5\PyMcaPhysics\xas\_xas\cython\_xas.pyx":1 * #/[inserted by cython to avoid comment start]*########################################################################## # <<<<<<<<<<<<<< * # * # The PyMca X-Ray Fluorescence Toolkit */ __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); if (PyDict_SetItem(__pyx_d, __pyx_n_s____test__, ((PyObject *)__pyx_t_1)) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; /* "View.MemoryView":207 * info.obj = self * * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< * * def __dealloc__(array self): */ __pyx_t_1 = __pyx_capsule_create(((void *)(&__pyx_array_getbuffer)), __pyx_k_66); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 207; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_array_type->tp_dict, __pyx_n_s____pyx_getbuffer, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 207; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; PyType_Modified(__pyx_array_type); /* "View.MemoryView":282 * return self.name * * cdef generic = Enum("") # <<<<<<<<<<<<<< * cdef strided = Enum("") # default * cdef indirect = Enum("") */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_68), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 282; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(generic); __Pyx_DECREF(generic); __Pyx_GIVEREF(__pyx_t_1); generic = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":283 * * cdef generic = Enum("") * cdef strided = Enum("") # default # <<<<<<<<<<<<<< * cdef indirect = Enum("") * */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_70), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 283; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(strided); __Pyx_DECREF(strided); __Pyx_GIVEREF(__pyx_t_1); strided = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":284 * cdef generic = Enum("") * cdef strided = Enum("") # default * cdef indirect = Enum("") # <<<<<<<<<<<<<< * * */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_72), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 284; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(indirect); __Pyx_DECREF(indirect); __Pyx_GIVEREF(__pyx_t_1); indirect = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":287 * * * cdef contiguous = Enum("") # <<<<<<<<<<<<<< * cdef indirect_contiguous = Enum("") * */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_74), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 287; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(contiguous); __Pyx_DECREF(contiguous); __Pyx_GIVEREF(__pyx_t_1); contiguous = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":288 * * cdef contiguous = Enum("") * cdef indirect_contiguous = Enum("") # <<<<<<<<<<<<<< * * */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_76), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 288; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(indirect_contiguous); __Pyx_DECREF(indirect_contiguous); __Pyx_GIVEREF(__pyx_t_1); indirect_contiguous = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":503 * info.obj = self * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< * * */ __pyx_t_1 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), __pyx_k_66); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 503; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_memoryview_type->tp_dict, __pyx_n_s____pyx_getbuffer, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 503; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; PyType_Modified(__pyx_memoryview_type); /* "View.MemoryView":958 * return self.from_object * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< * * */ __pyx_t_1 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), __pyx_k_66); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 958; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_memoryviewslice_type->tp_dict, __pyx_n_s____pyx_getbuffer, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 958; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; PyType_Modified(__pyx_memoryviewslice_type); /* "View.MemoryView":1365 * * @cname('__pyx_memoryview__slice_assign_scalar') * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, * size_t itemsize, void *item) nogil: */ goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); if (__pyx_m) { __Pyx_AddTraceback("init PyMca5.PyMcaPhysics.xas._xas", __pyx_clineno, __pyx_lineno, __pyx_filename); Py_DECREF(__pyx_m); __pyx_m = 0; } else if (!PyErr_Occurred()) { PyErr_SetString(PyExc_ImportError, "init PyMca5.PyMcaPhysics.xas._xas"); } __pyx_L0:; __Pyx_RefNannyFinishContext(); #if PY_MAJOR_VERSION < 3 return; #else return __pyx_m; #endif } /* Runtime support code */ #if CYTHON_REFNANNY static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) { PyObject *m = NULL, *p = NULL; void *r = NULL; m = PyImport_ImportModule((char *)modname); if (!m) goto end; p = PyObject_GetAttrString(m, (char *)"RefNannyAPI"); if (!p) goto end; r = PyLong_AsVoidPtr(p); end: Py_XDECREF(p); Py_XDECREF(m); return (__Pyx_RefNannyAPIStruct *)r; } #endif /* CYTHON_REFNANNY */ static PyObject *__Pyx_GetBuiltinName(PyObject *name) { PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name); if (unlikely(!result)) { PyErr_Format(PyExc_NameError, #if PY_MAJOR_VERSION >= 3 "name '%U' is not defined", name); #else "name '%s' is not defined", PyString_AS_STRING(name)); #endif } return result; } static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) { PyObject *result; #if CYTHON_COMPILING_IN_CPYTHON result = PyDict_GetItem(__pyx_d, name); if (result) { Py_INCREF(result); } else { #else result = PyObject_GetItem(__pyx_d, name); if (!result) { PyErr_Clear(); #endif result = __Pyx_GetBuiltinName(name); } return result; } static void __Pyx_RaiseBufferIndexError(int axis) { PyErr_Format(PyExc_IndexError, "Out of bounds on buffer access (axis %d)", axis); } static CYTHON_INLINE int __Pyx_IsLittleEndian(void) { unsigned int n = 1; return *(unsigned char*)(&n) != 0; } static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, __Pyx_BufFmt_StackElem* stack, __Pyx_TypeInfo* type) { stack[0].field = &ctx->root; stack[0].parent_offset = 0; ctx->root.type = type; ctx->root.name = "buffer dtype"; ctx->root.offset = 0; ctx->head = stack; ctx->head->field = &ctx->root; ctx->fmt_offset = 0; ctx->head->parent_offset = 0; ctx->new_packmode = '@'; ctx->enc_packmode = '@'; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->is_complex = 0; ctx->is_valid_array = 0; ctx->struct_alignment = 0; while (type->typegroup == 'S') { ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = 0; type = type->fields->type; } } static int __Pyx_BufFmt_ParseNumber(const char** ts) { int count; const char* t = *ts; if (*t < '0' || *t > '9') { return -1; } else { count = *t++ - '0'; while (*t >= '0' && *t < '9') { count *= 10; count += *t++ - '0'; } } *ts = t; return count; } static int __Pyx_BufFmt_ExpectNumber(const char **ts) { int number = __Pyx_BufFmt_ParseNumber(ts); if (number == -1) /* First char was not a digit */ PyErr_Format(PyExc_ValueError,\ "Does not understand character buffer dtype format string ('%c')", **ts); return number; } static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { PyErr_Format(PyExc_ValueError, "Unexpected format string character: '%c'", ch); } static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { switch (ch) { case 'c': return "'char'"; case 'b': return "'signed char'"; case 'B': return "'unsigned char'"; case 'h': return "'short'"; case 'H': return "'unsigned short'"; case 'i': return "'int'"; case 'I': return "'unsigned int'"; case 'l': return "'long'"; case 'L': return "'unsigned long'"; case 'q': return "'long long'"; case 'Q': return "'unsigned long long'"; case 'f': return (is_complex ? "'complex float'" : "'float'"); case 'd': return (is_complex ? "'complex double'" : "'double'"); case 'g': return (is_complex ? "'complex long double'" : "'long double'"); case 'T': return "a struct"; case 'O': return "Python object"; case 'P': return "a pointer"; case 's': case 'p': return "a string"; case 0: return "end"; default: return "unparseable format string"; } } static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return 2; case 'i': case 'I': case 'l': case 'L': return 4; case 'q': case 'Q': return 8; case 'f': return (is_complex ? 8 : 4); case 'd': return (is_complex ? 16 : 8); case 'g': { PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); return 0; } case 'O': case 'P': return sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { switch (ch) { case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(short); case 'i': case 'I': return sizeof(int); case 'l': case 'L': return sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(float) * (is_complex ? 2 : 1); case 'd': return sizeof(double) * (is_complex ? 2 : 1); case 'g': return sizeof(long double) * (is_complex ? 2 : 1); case 'O': case 'P': return sizeof(void*); default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } typedef struct { char c; short x; } __Pyx_st_short; typedef struct { char c; int x; } __Pyx_st_int; typedef struct { char c; long x; } __Pyx_st_long; typedef struct { char c; float x; } __Pyx_st_float; typedef struct { char c; double x; } __Pyx_st_double; typedef struct { char c; long double x; } __Pyx_st_longdouble; typedef struct { char c; void *x; } __Pyx_st_void_p; #ifdef HAVE_LONG_LONG typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_st_float) - sizeof(float); case 'd': return sizeof(__Pyx_st_double) - sizeof(double); case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } /* These are for computing the padding at the end of the struct to align on the first member of the struct. This will probably the same as above, but we don't have any guarantees. */ typedef struct { short x; char c; } __Pyx_pad_short; typedef struct { int x; char c; } __Pyx_pad_int; typedef struct { long x; char c; } __Pyx_pad_long; typedef struct { float x; char c; } __Pyx_pad_float; typedef struct { double x; char c; } __Pyx_pad_double; typedef struct { long double x; char c; } __Pyx_pad_longdouble; typedef struct { void *x; char c; } __Pyx_pad_void_p; #ifdef HAVE_LONG_LONG typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { switch (ch) { case 'c': return 'H'; case 'b': case 'h': case 'i': case 'l': case 'q': case 's': case 'p': return 'I'; case 'B': case 'H': case 'I': case 'L': case 'Q': return 'U'; case 'f': case 'd': case 'g': return (is_complex ? 'C' : 'R'); case 'O': return 'O'; case 'P': return 'P'; default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { if (ctx->head == NULL || ctx->head->field == &ctx->root) { const char* expected; const char* quote; if (ctx->head == NULL) { expected = "end"; quote = ""; } else { expected = ctx->head->field->type->name; quote = "'"; } PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected %s%s%s but got %s", quote, expected, quote, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); } else { __Pyx_StructField* field = ctx->head->field; __Pyx_StructField* parent = (ctx->head - 1)->field; PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), parent->type->name, field->name); } } static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { char group; size_t size, offset, arraysize = 1; if (ctx->enc_type == 0) return 0; if (ctx->head->field->type->arraysize[0]) { int i, ndim = 0; if (ctx->enc_type == 's' || ctx->enc_type == 'p') { ctx->is_valid_array = ctx->head->field->type->ndim == 1; ndim = 1; if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %zu", ctx->head->field->type->arraysize[0], ctx->enc_count); return -1; } } if (!ctx->is_valid_array) { PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", ctx->head->field->type->ndim, ndim); return -1; } for (i = 0; i < ctx->head->field->type->ndim; i++) { arraysize *= ctx->head->field->type->arraysize[i]; } ctx->is_valid_array = 0; ctx->enc_count = 1; } group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); do { __Pyx_StructField* field = ctx->head->field; __Pyx_TypeInfo* type = field->type; if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); } else { size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); } if (ctx->enc_packmode == '@') { size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); size_t align_mod_offset; if (align_at == 0) return -1; align_mod_offset = ctx->fmt_offset % align_at; if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; if (ctx->struct_alignment == 0) ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, ctx->is_complex); } if (type->size != size || type->typegroup != group) { if (type->typegroup == 'C' && type->fields != NULL) { size_t parent_offset = ctx->head->parent_offset + field->offset; ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = parent_offset; continue; } if ((type->typegroup == 'H' || group == 'H') && type->size == size) { } else { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } } offset = ctx->head->parent_offset + field->offset; if (ctx->fmt_offset != offset) { PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); return -1; } ctx->fmt_offset += size; if (arraysize) ctx->fmt_offset += (arraysize - 1) * size; --ctx->enc_count; /* Consume from buffer string */ while (1) { if (field == &ctx->root) { ctx->head = NULL; if (ctx->enc_count != 0) { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } break; /* breaks both loops as ctx->enc_count == 0 */ } ctx->head->field = ++field; if (field->type == NULL) { --ctx->head; field = ctx->head->field; continue; } else if (field->type->typegroup == 'S') { size_t parent_offset = ctx->head->parent_offset + field->offset; if (field->type->fields->type == NULL) continue; /* empty struct */ field = field->type->fields; ++ctx->head; ctx->head->field = field; ctx->head->parent_offset = parent_offset; break; } else { break; } } } while (ctx->enc_count); ctx->enc_type = 0; ctx->is_complex = 0; return 0; } static CYTHON_INLINE PyObject * __pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) { const char *ts = *tsp; int i = 0, number; int ndim = ctx->head->field->type->ndim; ; ++ts; if (ctx->new_count != 1) { PyErr_SetString(PyExc_ValueError, "Cannot handle repeated arrays in format string"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; while (*ts && *ts != ')') { if (isspace(*ts)) continue; number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) return PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %d", ctx->head->field->type->arraysize[i], number); if (*ts != ',' && *ts != ')') return PyErr_Format(PyExc_ValueError, "Expected a comma in format string, got '%c'", *ts); if (*ts == ',') ts++; i++; } if (i != ndim) return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", ctx->head->field->type->ndim, i); if (!*ts) { PyErr_SetString(PyExc_ValueError, "Unexpected end of format string, expected ')'"); return NULL; } ctx->is_valid_array = 1; ctx->new_count = 1; *tsp = ++ts; return Py_None; } static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { int got_Z = 0; while (1) { switch(*ts) { case 0: if (ctx->enc_type != 0 && ctx->head == NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; if (ctx->head != NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } return ts; case ' ': case 10: case 13: ++ts; break; case '<': if (!__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '>': case '!': if (__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '=': case '@': case '^': ctx->new_packmode = *ts++; break; case 'T': /* substruct */ { const char* ts_after_sub; size_t i, struct_count = ctx->new_count; size_t struct_alignment = ctx->struct_alignment; ctx->new_count = 1; ++ts; if (*ts != '{') { PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; /* Erase processed last struct element */ ctx->enc_count = 0; ctx->struct_alignment = 0; ++ts; ts_after_sub = ts; for (i = 0; i != struct_count; ++i) { ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); if (!ts_after_sub) return NULL; } ts = ts_after_sub; if (struct_alignment) ctx->struct_alignment = struct_alignment; } break; case '}': /* end of substruct; either repeat or move on */ { size_t alignment = ctx->struct_alignment; ++ts; if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; /* Erase processed last struct element */ if (alignment && ctx->fmt_offset % alignment) { ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); } } return ts; case 'x': if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->fmt_offset += ctx->new_count; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->enc_packmode = ctx->new_packmode; ++ts; break; case 'Z': got_Z = 1; ++ts; if (*ts != 'f' && *ts != 'd' && *ts != 'g') { __Pyx_BufFmt_RaiseUnexpectedChar('Z'); return NULL; } /* fall through */ case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': case 'l': case 'L': case 'q': case 'Q': case 'f': case 'd': case 'g': case 'O': case 's': case 'p': if (ctx->enc_type == *ts && got_Z == ctx->is_complex && ctx->enc_packmode == ctx->new_packmode) { ctx->enc_count += ctx->new_count; } else { if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_count = ctx->new_count; ctx->enc_packmode = ctx->new_packmode; ctx->enc_type = *ts; ctx->is_complex = got_Z; } ++ts; ctx->new_count = 1; got_Z = 0; break; case ':': ++ts; while(*ts != ':') ++ts; ++ts; break; case '(': if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL; break; default: { int number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; ctx->new_count = (size_t)number; } } } } static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) { buf->buf = NULL; buf->obj = NULL; buf->strides = __Pyx_zeros; buf->shape = __Pyx_zeros; buf->suboffsets = __Pyx_minusones; } static CYTHON_INLINE int __Pyx_GetBufferAndValidate( Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack) { if (obj == Py_None || obj == NULL) { __Pyx_ZeroBuffer(buf); return 0; } buf->buf = NULL; if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail; if (buf->ndim != nd) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", nd, buf->ndim); goto fail; } if (!cast) { __Pyx_BufFmt_Context ctx; __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned)buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones; return 0; fail:; __Pyx_ZeroBuffer(buf); return -1; } static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) { if (info->buf == NULL) return; if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL; __Pyx_ReleaseBuffer(info); } static int __Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference) { __Pyx_RefNannyDeclarations int i, retval=-1; Py_buffer *buf = &memview->view; __Pyx_RefNannySetupContext("init_memviewslice", 0); if (!buf) { PyErr_SetString(PyExc_ValueError, "buf is NULL."); goto fail; } else if (memviewslice->memview || memviewslice->data) { PyErr_SetString(PyExc_ValueError, "memviewslice is already initialized!"); goto fail; } if (buf->strides) { for (i = 0; i < ndim; i++) { memviewslice->strides[i] = buf->strides[i]; } } else { Py_ssize_t stride = buf->itemsize; for (i = ndim - 1; i >= 0; i--) { memviewslice->strides[i] = stride; stride *= buf->shape[i]; } } for (i = 0; i < ndim; i++) { memviewslice->shape[i] = buf->shape[i]; if (buf->suboffsets) { memviewslice->suboffsets[i] = buf->suboffsets[i]; } else { memviewslice->suboffsets[i] = -1; } } memviewslice->memview = memview; memviewslice->data = (char *)buf->buf; if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { Py_INCREF(memview); } retval = 0; goto no_fail; fail: memviewslice->memview = 0; memviewslice->data = 0; retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } static CYTHON_INLINE void __pyx_fatalerror(const char *fmt, ...) { va_list vargs; char msg[200]; va_start(vargs, fmt); #ifdef HAVE_STDARG_PROTOTYPES va_start(vargs, fmt); #else va_start(vargs); #endif vsnprintf(msg, 200, fmt, vargs); Py_FatalError(msg); va_end(vargs); } static CYTHON_INLINE int __pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)++; PyThread_release_lock(lock); return result; } static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)--; PyThread_release_lock(lock); return result; } static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int first_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview || (PyObject *) memview == Py_None) return; /* allow uninitialized memoryview assignment */ if (__pyx_get_slice_count(memview) < 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); first_time = __pyx_add_acquisition_count(memview) == 0; if (first_time) { if (have_gil) { Py_INCREF((PyObject *) memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_INCREF((PyObject *) memview); PyGILState_Release(_gilstate); } } } static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int last_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview ) { return; } else if ((PyObject *) memview == Py_None) { memslice->memview = NULL; return; } if (__pyx_get_slice_count(memview) <= 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); last_time = __pyx_sub_acquisition_count(memview) == 1; memslice->data = NULL; if (last_time) { if (have_gil) { Py_CLEAR(memslice->memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_CLEAR(memslice->memview); PyGILState_Release(_gilstate); } } else { memslice->memview = NULL; } } static void __Pyx_RaiseArgtupleInvalid( const char* func_name, int exact, Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found) { Py_ssize_t num_expected; const char *more_or_less; if (num_found < num_min) { num_expected = num_min; more_or_less = "at least"; } else { num_expected = num_max; more_or_less = "at most"; } if (exact) { more_or_less = "exactly"; } PyErr_Format(PyExc_TypeError, "%s() takes %s %" CYTHON_FORMAT_SSIZE_T "d positional argument%s (%" CYTHON_FORMAT_SSIZE_T "d given)", func_name, more_or_less, num_expected, (num_expected == 1) ? "" : "s", num_found); } static void __Pyx_RaiseDoubleKeywordsError( const char* func_name, PyObject* kw_name) { PyErr_Format(PyExc_TypeError, #if PY_MAJOR_VERSION >= 3 "%s() got multiple values for keyword argument '%U'", func_name, kw_name); #else "%s() got multiple values for keyword argument '%s'", func_name, PyString_AsString(kw_name)); #endif } static int __Pyx_ParseOptionalKeywords( PyObject *kwds, PyObject **argnames[], PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, const char* function_name) { PyObject *key = 0, *value = 0; Py_ssize_t pos = 0; PyObject*** name; PyObject*** first_kw_arg = argnames + num_pos_args; while (PyDict_Next(kwds, &pos, &key, &value)) { name = first_kw_arg; while (*name && (**name != key)) name++; if (*name) { values[name-argnames] = value; continue; } name = first_kw_arg; #if PY_MAJOR_VERSION < 3 if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) { while (*name) { if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) && _PyString_Eq(**name, key)) { values[name-argnames] = value; break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { if ((**argname == key) || ( (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) && _PyString_Eq(**argname, key))) { goto arg_passed_twice; } argname++; } } } else #endif if (likely(PyUnicode_Check(key))) { while (*name) { int cmp = (**name == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**name, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) { values[name-argnames] = value; break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { int cmp = (**argname == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**argname, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) goto arg_passed_twice; argname++; } } } else goto invalid_keyword_type; if (kwds2) { if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; } else { goto invalid_keyword; } } return 0; arg_passed_twice: __Pyx_RaiseDoubleKeywordsError(function_name, key); goto bad; invalid_keyword_type: PyErr_Format(PyExc_TypeError, "%s() keywords must be strings", function_name); goto bad; invalid_keyword: PyErr_Format(PyExc_TypeError, #if PY_MAJOR_VERSION < 3 "%s() got an unexpected keyword argument '%s'", function_name, PyString_AsString(key)); #else "%s() got an unexpected keyword argument '%U'", function_name, key); #endif bad: return -1; } static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { if (unlikely(!type)) { PyErr_Format(PyExc_SystemError, "Missing type object"); return 0; } if (likely(PyObject_TypeCheck(obj, type))) return 1; PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s", Py_TYPE(obj)->tp_name, type->tp_name); return 0; } static CYTHON_INLINE int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v) { int r; if (!j) return -1; r = PyObject_SetItem(o, j, v); Py_DECREF(j); return r; } static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, int is_list, int wraparound, int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (is_list || PyList_CheckExact(o)) { Py_ssize_t n = (!wraparound) ? i : ((likely(i >= 0)) ? i : i + PyList_GET_SIZE(o)); if ((!boundscheck) || likely((n >= 0) & (n < PyList_GET_SIZE(o)))) { PyObject* old = PyList_GET_ITEM(o, n); Py_INCREF(v); PyList_SET_ITEM(o, n, v); Py_DECREF(old); return 1; } } else { PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; if (likely(m && m->sq_ass_item)) { if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { Py_ssize_t l = m->sq_length(o); if (likely(l >= 0)) { i += l; } else { if (PyErr_ExceptionMatches(PyExc_OverflowError)) PyErr_Clear(); else return -1; } } return m->sq_ass_item(o, i, v); } } #else #if CYTHON_COMPILING_IN_PYPY if (is_list || (PySequence_Check(o) && !PyDict_Check(o))) { #else if (is_list || PySequence_Check(o)) { #endif return PySequence_SetItem(o, i, v); } #endif return __Pyx_SetItemInt_Generic(o, PyInt_FromSsize_t(i), v); } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { PyObject *r; if (!j) return NULL; r = PyObject_GetItem(o, j); Py_DECREF(j); return r; } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyList_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyList_GET_SIZE(o)))) { PyObject *r = PyList_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, int wraparound, int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (is_list || PyList_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) { PyObject *r = PyList_GET_ITEM(o, n); Py_INCREF(r); return r; } } else if (PyTuple_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, n); Py_INCREF(r); return r; } } else { PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; if (likely(m && m->sq_item)) { if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { Py_ssize_t l = m->sq_length(o); if (likely(l >= 0)) { i += l; } else { if (PyErr_ExceptionMatches(PyExc_OverflowError)) PyErr_Clear(); else return NULL; } } return m->sq_item(o, i); } } #else if (is_list || PySequence_Check(o)) { return PySequence_GetItem(o, i); } #endif return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); } static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) { #if CYTHON_COMPILING_IN_CPYTHON PyObject *tmp_type, *tmp_value, *tmp_tb; PyThreadState *tstate = PyThreadState_GET(); tmp_type = tstate->curexc_type; tmp_value = tstate->curexc_value; tmp_tb = tstate->curexc_traceback; tstate->curexc_type = type; tstate->curexc_value = value; tstate->curexc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); #else PyErr_Restore(type, value, tb); #endif } static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) { #if CYTHON_COMPILING_IN_CPYTHON PyThreadState *tstate = PyThreadState_GET(); *type = tstate->curexc_type; *value = tstate->curexc_value; *tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; #else PyErr_Fetch(type, value, tb); #endif } #if PY_MAJOR_VERSION < 3 static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, CYTHON_UNUSED PyObject *cause) { Py_XINCREF(type); if (!value || value == Py_None) value = NULL; else Py_INCREF(value); if (!tb || tb == Py_None) tb = NULL; else { Py_INCREF(tb); if (!PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto raise_error; } } #if PY_VERSION_HEX < 0x02050000 if (PyClass_Check(type)) { #else if (PyType_Check(type)) { #endif #if CYTHON_COMPILING_IN_PYPY if (!value) { Py_INCREF(Py_None); value = Py_None; } #endif PyErr_NormalizeException(&type, &value, &tb); } else { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto raise_error; } value = type; #if PY_VERSION_HEX < 0x02050000 if (PyInstance_Check(type)) { type = (PyObject*) ((PyInstanceObject*)type)->in_class; Py_INCREF(type); } else { type = 0; PyErr_SetString(PyExc_TypeError, "raise: exception must be an old-style class or instance"); goto raise_error; } #else type = (PyObject*) Py_TYPE(type); Py_INCREF(type); if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto raise_error; } #endif } __Pyx_ErrRestore(type, value, tb); return; raise_error: Py_XDECREF(value); Py_XDECREF(type); Py_XDECREF(tb); return; } #else /* Python 3+ */ static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { PyObject* owned_instance = NULL; if (tb == Py_None) { tb = 0; } else if (tb && !PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto bad; } if (value == Py_None) value = 0; if (PyExceptionInstance_Check(type)) { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto bad; } value = type; type = (PyObject*) Py_TYPE(value); } else if (PyExceptionClass_Check(type)) { PyObject *args; if (!value) args = PyTuple_New(0); else if (PyTuple_Check(value)) { Py_INCREF(value); args = value; } else args = PyTuple_Pack(1, value); if (!args) goto bad; owned_instance = PyEval_CallObject(type, args); Py_DECREF(args); if (!owned_instance) goto bad; value = owned_instance; if (!PyExceptionInstance_Check(value)) { PyErr_Format(PyExc_TypeError, "calling %R should have returned an instance of " "BaseException, not %R", type, Py_TYPE(value)); goto bad; } } else { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto bad; } #if PY_VERSION_HEX >= 0x03030000 if (cause) { #else if (cause && cause != Py_None) { #endif PyObject *fixed_cause; if (cause == Py_None) { fixed_cause = NULL; } else if (PyExceptionClass_Check(cause)) { fixed_cause = PyObject_CallObject(cause, NULL); if (fixed_cause == NULL) goto bad; } else if (PyExceptionInstance_Check(cause)) { fixed_cause = cause; Py_INCREF(fixed_cause); } else { PyErr_SetString(PyExc_TypeError, "exception causes must derive from " "BaseException"); goto bad; } PyException_SetCause(value, fixed_cause); } PyErr_SetObject(type, value); if (tb) { PyThreadState *tstate = PyThreadState_GET(); PyObject* tmp_tb = tstate->curexc_traceback; if (tb != tmp_tb) { Py_INCREF(tb); tstate->curexc_traceback = tb; Py_XDECREF(tmp_tb); } } bad: Py_XDECREF(owned_instance); return; } #endif static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { PyErr_Format(PyExc_ValueError, "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); } static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { PyErr_Format(PyExc_ValueError, "need more than %" CYTHON_FORMAT_SSIZE_T "d value%s to unpack", index, (index == 1) ? "" : "s"); } static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); } static CYTHON_INLINE int __Pyx_IterFinish(void) { #if CYTHON_COMPILING_IN_CPYTHON PyThreadState *tstate = PyThreadState_GET(); PyObject* exc_type = tstate->curexc_type; if (unlikely(exc_type)) { if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) { PyObject *exc_value, *exc_tb; exc_value = tstate->curexc_value; exc_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; Py_DECREF(exc_type); Py_XDECREF(exc_value); Py_XDECREF(exc_tb); return 0; } else { return -1; } } return 0; #else if (unlikely(PyErr_Occurred())) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) { PyErr_Clear(); return 0; } else { return -1; } } return 0; #endif } static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) { if (unlikely(retval)) { Py_DECREF(retval); __Pyx_RaiseTooManyValuesError(expected); return -1; } else { return __Pyx_IterFinish(); } return 0; } static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed, const char *name, int exact) { if (!type) { PyErr_Format(PyExc_SystemError, "Missing type object"); return 0; } if (none_allowed && obj == Py_None) return 1; else if (exact) { if (Py_TYPE(obj) == type) return 1; } else { if (PyObject_TypeCheck(obj, type)) return 1; } PyErr_Format(PyExc_TypeError, "Argument '%s' has incorrect type (expected %s, got %s)", name, type->tp_name, Py_TYPE(obj)->tp_name); return 0; } static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { #if CYTHON_COMPILING_IN_CPYTHON #if PY_MAJOR_VERSION >= 3 if (likely(PyUnicode_Check(n))) #else if (likely(PyString_Check(n))) #endif return __Pyx_PyObject_GetAttrStr(o, n); #endif return PyObject_GetAttr(o, n); } static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) { PyObject *r = __Pyx_GetAttr(o, n); if (!r) { if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; PyErr_Clear(); r = d; Py_INCREF(d); } return r; bad: return NULL; } static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) { Py_ssize_t q = a / b; Py_ssize_t r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { #if CYTHON_COMPILING_IN_PYPY return PyObject_RichCompareBool(s1, s2, equals); #else if (s1 == s2) { return (equals == Py_EQ); } else if (PyUnicode_CheckExact(s1) & PyUnicode_CheckExact(s2)) { #if CYTHON_PEP393_ENABLED if ((PyUnicode_READY(s1) < 0) || (PyUnicode_READY(s2) < 0)) return -1; if (PyUnicode_GET_LENGTH(s1) != PyUnicode_GET_LENGTH(s2)) { return (equals == Py_NE); } else if (PyUnicode_GET_LENGTH(s1) == 1) { Py_UCS4 ch1 = PyUnicode_READ_CHAR(s1, 0); Py_UCS4 ch2 = PyUnicode_READ_CHAR(s2, 0); return (equals == Py_EQ) ? (ch1 == ch2) : (ch1 != ch2); #else if (PyUnicode_GET_SIZE(s1) != PyUnicode_GET_SIZE(s2)) { return (equals == Py_NE); } else if (PyUnicode_GET_SIZE(s1) == 1) { Py_UNICODE ch1 = PyUnicode_AS_UNICODE(s1)[0]; Py_UNICODE ch2 = PyUnicode_AS_UNICODE(s2)[0]; return (equals == Py_EQ) ? (ch1 == ch2) : (ch1 != ch2); #endif } else { int result = PyUnicode_Compare(s1, s2); if ((result == -1) && unlikely(PyErr_Occurred())) return -1; return (equals == Py_EQ) ? (result == 0) : (result != 0); } } else if ((s1 == Py_None) & PyUnicode_CheckExact(s2)) { return (equals == Py_NE); } else if ((s2 == Py_None) & PyUnicode_CheckExact(s1)) { return (equals == Py_NE); } else { int result; PyObject* py_result = PyObject_RichCompare(s1, s2, equals); if (!py_result) return -1; result = __Pyx_PyObject_IsTrue(py_result); Py_DECREF(py_result); return result; } #endif } static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) { Py_ssize_t length; if (unlikely((start < 0) | (stop < 0))) { length = strlen(cstring); if (start < 0) { start += length; if (start < 0) start = 0; } if (stop < 0) stop += length; } length = stop - start; if (unlikely(length <= 0)) return PyUnicode_FromUnicode(NULL, 0); cstring += start; if (decode_func) { return decode_func(cstring, length, errors); } else { return PyUnicode_Decode(cstring, length, encoding, errors); } } static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) { PyObject *local_type, *local_value, *local_tb; #if CYTHON_COMPILING_IN_CPYTHON PyObject *tmp_type, *tmp_value, *tmp_tb; PyThreadState *tstate = PyThreadState_GET(); local_type = tstate->curexc_type; local_value = tstate->curexc_value; local_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; #else PyErr_Fetch(&local_type, &local_value, &local_tb); #endif PyErr_NormalizeException(&local_type, &local_value, &local_tb); #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(tstate->curexc_type)) #else if (unlikely(PyErr_Occurred())) #endif goto bad; #if PY_MAJOR_VERSION >= 3 if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) goto bad; #endif Py_INCREF(local_type); Py_INCREF(local_value); Py_INCREF(local_tb); *type = local_type; *value = local_value; *tb = local_tb; #if CYTHON_COMPILING_IN_CPYTHON tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = local_type; tstate->exc_value = local_value; tstate->exc_traceback = local_tb; /* Make sure tstate is in a consistent state when we XDECREF these objects (DECREF may run arbitrary code). */ Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); #else PyErr_SetExcInfo(local_type, local_value, local_tb); #endif return 0; bad: *type = 0; *value = 0; *tb = 0; Py_XDECREF(local_type); Py_XDECREF(local_value); Py_XDECREF(local_tb); return -1; } static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); } static CYTHON_INLINE long __Pyx_div_long(long a, long b) { long q = a / b; long r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename) { PyObject *old_exc, *old_val, *old_tb; PyObject *ctx; __Pyx_ErrFetch(&old_exc, &old_val, &old_tb); #if PY_MAJOR_VERSION < 3 ctx = PyString_FromString(name); #else ctx = PyUnicode_FromString(name); #endif __Pyx_ErrRestore(old_exc, old_val, old_tb); if (!ctx) { PyErr_WriteUnraisable(Py_None); } else { PyErr_WriteUnraisable(ctx); Py_DECREF(ctx); } } static int __Pyx_SetVtable(PyObject *dict, void *vtable) { #if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION==3&&PY_MINOR_VERSION==0) PyObject *ob = PyCapsule_New(vtable, 0, 0); #else PyObject *ob = PyCObject_FromVoidPtr(vtable, 0); #endif if (!ob) goto bad; if (PyDict_SetItem(dict, __pyx_n_s____pyx_vtable__, ob) < 0) goto bad; Py_DECREF(ob); return 0; bad: Py_XDECREF(ob); return -1; } #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { #if PY_VERSION_HEX >= 0x02060000 if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); #endif if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags); #if PY_VERSION_HEX < 0x02060000 if (obj->ob_type->tp_dict) { PyObject *getbuffer_cobj = PyObject_GetItem( obj->ob_type->tp_dict, __pyx_n_s____pyx_getbuffer); if (getbuffer_cobj) { getbufferproc func = (getbufferproc) PyCObject_AsVoidPtr(getbuffer_cobj); Py_DECREF(getbuffer_cobj); if (!func) goto fail; return func(obj, view, flags); } else { PyErr_Clear(); } } #endif PyErr_Format(PyExc_TypeError, "'%100s' does not have the buffer interface", Py_TYPE(obj)->tp_name); #if PY_VERSION_HEX < 0x02060000 fail: #endif return -1; } static void __Pyx_ReleaseBuffer(Py_buffer *view) { PyObject *obj = view->obj; if (!obj) return; #if PY_VERSION_HEX >= 0x02060000 if (PyObject_CheckBuffer(obj)) { PyBuffer_Release(view); return; } #endif if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); return; } #if PY_VERSION_HEX < 0x02060000 if (obj->ob_type->tp_dict) { PyObject *releasebuffer_cobj = PyObject_GetItem( obj->ob_type->tp_dict, __pyx_n_s____pyx_releasebuffer); if (releasebuffer_cobj) { releasebufferproc func = (releasebufferproc) PyCObject_AsVoidPtr(releasebuffer_cobj); Py_DECREF(releasebuffer_cobj); if (!func) goto fail; func(obj, view); return; } else { PyErr_Clear(); } } #endif goto nofail; #if PY_VERSION_HEX < 0x02060000 fail: #endif PyErr_WriteUnraisable(obj); nofail: Py_DECREF(obj); view->obj = NULL; } #endif /* PY_MAJOR_VERSION < 3 */ static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { PyObject *empty_list = 0; PyObject *module = 0; PyObject *global_dict = 0; PyObject *empty_dict = 0; PyObject *list; #if PY_VERSION_HEX < 0x03030000 PyObject *py_import; py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s____import__); if (!py_import) goto bad; #endif if (from_list) list = from_list; else { empty_list = PyList_New(0); if (!empty_list) goto bad; list = empty_list; } global_dict = PyModule_GetDict(__pyx_m); if (!global_dict) goto bad; empty_dict = PyDict_New(); if (!empty_dict) goto bad; #if PY_VERSION_HEX >= 0x02050000 { #if PY_MAJOR_VERSION >= 3 if (level == -1) { if (strchr(__Pyx_MODULE_NAME, '.')) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(1); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, 1); #endif if (!module) { if (!PyErr_ExceptionMatches(PyExc_ImportError)) goto bad; PyErr_Clear(); } } level = 0; /* try absolute import on failure */ } #endif if (!module) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(level); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, level); #endif } } #else if (level>0) { PyErr_SetString(PyExc_RuntimeError, "Relative import is not supported for Python <=2.4."); goto bad; } module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, NULL); #endif bad: #if PY_VERSION_HEX < 0x03030000 Py_XDECREF(py_import); #endif Py_XDECREF(empty_list); Py_XDECREF(empty_dict); return module; } static PyObject *__pyx_memview_get_double(const char *itemp) { return (PyObject *) PyFloat_FromDouble(*(double *) itemp); } static int __pyx_memview_set_double(const char *itemp, PyObject *obj) { double value = __pyx_PyFloat_AsDouble(obj); if ((value == (double)-1) && PyErr_Occurred()) return 0; *(double *) itemp = value; return 1; } #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return ::std::complex< float >(x, y); } #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return x + y*(__pyx_t_float_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { __pyx_t_float_complex z; z.real = x; z.imag = y; return z; } #endif #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex a, __pyx_t_float_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrtf(z.real*z.real + z.imag*z.imag); #else return hypotf(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { float denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(a, a); case 3: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, a); case 4: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_absf(a); theta = atan2f(a.imag, a.real); } lnr = logf(r); z_r = expf(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cosf(z_theta); z.imag = z_r * sinf(z_theta); return z; } #endif #endif #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return ::std::complex< double >(x, y); } #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return x + y*(__pyx_t_double_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { __pyx_t_double_complex z; z.real = x; z.imag = y; return z; } #endif #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex a, __pyx_t_double_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrt(z.real*z.real + z.imag*z.imag); #else return hypot(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { double denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(a, a); case 3: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, a); case 4: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_abs(a); theta = atan2(a.imag, a.real); } lnr = log(r); z_r = exp(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cos(z_theta); z.imag = z_r * sin(z_theta); return z; } #endif #endif static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice *mvs, char order, int ndim) { int i, index, step, start; Py_ssize_t itemsize = mvs->memview->view.itemsize; if (order == 'F') { step = 1; start = 0; } else { step = -1; start = ndim - 1; } for (i = 0; i < ndim; i++) { index = start + step * i; if (mvs->suboffsets[index] >= 0 || mvs->strides[index] != itemsize) return 0; itemsize *= mvs->shape[index]; } return 1; } static void __pyx_get_array_memory_extents(__Pyx_memviewslice *slice, void **out_start, void **out_end, int ndim, size_t itemsize) { char *start, *end; int i; start = end = slice->data; for (i = 0; i < ndim; i++) { Py_ssize_t stride = slice->strides[i]; Py_ssize_t extent = slice->shape[i]; if (extent == 0) { *out_start = *out_end = start; return; } else { if (stride > 0) end += stride * (extent - 1); else start += stride * (extent - 1); } } *out_start = start; *out_end = end + itemsize; } static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize) { void *start1, *end1, *start2, *end2; __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); return (start1 < end2) && (start2 < end1); } static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object) { __Pyx_RefNannyDeclarations int i; __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } }; struct __pyx_memoryview_obj *from_memview = from_mvs->memview; Py_buffer *buf = &from_memview->view; PyObject *shape_tuple = NULL; PyObject *temp_int = NULL; struct __pyx_array_obj *array_obj = NULL; struct __pyx_memoryview_obj *memview_obj = NULL; __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); for (i = 0; i < ndim; i++) { if (from_mvs->suboffsets[i] >= 0) { PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " "indirect dimensions (axis %d)", i); goto fail; } } shape_tuple = PyTuple_New(ndim); if (unlikely(!shape_tuple)) { goto fail; } __Pyx_GOTREF(shape_tuple); for(i = 0; i < ndim; i++) { temp_int = PyInt_FromLong(from_mvs->shape[i]); if(unlikely(!temp_int)) { goto fail; } else { PyTuple_SET_ITEM(shape_tuple, i, temp_int); temp_int = NULL; } } array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL); if (unlikely(!array_obj)) { goto fail; } __Pyx_GOTREF(array_obj); memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( (PyObject *) array_obj, contig_flag, dtype_is_object, from_mvs->memview->typeinfo); if (unlikely(!memview_obj)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) goto fail; if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, dtype_is_object) < 0)) goto fail; goto no_fail; fail: __Pyx_XDECREF(new_mvs.memview); new_mvs.memview = NULL; new_mvs.data = NULL; no_fail: __Pyx_XDECREF(shape_tuple); __Pyx_XDECREF(temp_int); __Pyx_XDECREF(array_obj); __Pyx_RefNannyFinishContext(); return new_mvs; } static CYTHON_INLINE PyObject * __pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) { PyObject *cobj; #if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION == 3 && PY_MINOR_VERSION == 0) cobj = PyCapsule_New(p, sig, NULL); #else cobj = PyCObject_FromVoidPtr(p, NULL); #endif return cobj; } static CYTHON_INLINE void __Pyx_ExceptionSave(PyObject **type, PyObject **value, PyObject **tb) { #if CYTHON_COMPILING_IN_CPYTHON PyThreadState *tstate = PyThreadState_GET(); *type = tstate->exc_type; *value = tstate->exc_value; *tb = tstate->exc_traceback; Py_XINCREF(*type); Py_XINCREF(*value); Py_XINCREF(*tb); #else PyErr_GetExcInfo(type, value, tb); #endif } static void __Pyx_ExceptionReset(PyObject *type, PyObject *value, PyObject *tb) { #if CYTHON_COMPILING_IN_CPYTHON PyObject *tmp_type, *tmp_value, *tmp_tb; PyThreadState *tstate = PyThreadState_GET(); tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = type; tstate->exc_value = value; tstate->exc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); #else PyErr_SetExcInfo(type, value, tb); #endif } static CYTHON_INLINE unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject* x) { const unsigned char neg_one = (unsigned char)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(unsigned char) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(unsigned char)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to unsigned char" : "value too large to convert to unsigned char"); } return (unsigned char)-1; } return (unsigned char)val; } return (unsigned char)__Pyx_PyInt_AsUnsignedLong(x); } static CYTHON_INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject* x) { const unsigned short neg_one = (unsigned short)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(unsigned short) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(unsigned short)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to unsigned short" : "value too large to convert to unsigned short"); } return (unsigned short)-1; } return (unsigned short)val; } return (unsigned short)__Pyx_PyInt_AsUnsignedLong(x); } static CYTHON_INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject* x) { const unsigned int neg_one = (unsigned int)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(unsigned int) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(unsigned int)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to unsigned int" : "value too large to convert to unsigned int"); } return (unsigned int)-1; } return (unsigned int)val; } return (unsigned int)__Pyx_PyInt_AsUnsignedLong(x); } static CYTHON_INLINE char __Pyx_PyInt_AsChar(PyObject* x) { const char neg_one = (char)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(char) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(char)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to char" : "value too large to convert to char"); } return (char)-1; } return (char)val; } return (char)__Pyx_PyInt_AsLong(x); } static CYTHON_INLINE short __Pyx_PyInt_AsShort(PyObject* x) { const short neg_one = (short)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(short) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(short)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to short" : "value too large to convert to short"); } return (short)-1; } return (short)val; } return (short)__Pyx_PyInt_AsLong(x); } static CYTHON_INLINE int __Pyx_PyInt_AsInt(PyObject* x) { const int neg_one = (int)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(int) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(int)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to int" : "value too large to convert to int"); } return (int)-1; } return (int)val; } return (int)__Pyx_PyInt_AsLong(x); } static CYTHON_INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject* x) { const signed char neg_one = (signed char)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(signed char) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(signed char)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to signed char" : "value too large to convert to signed char"); } return (signed char)-1; } return (signed char)val; } return (signed char)__Pyx_PyInt_AsSignedLong(x); } static CYTHON_INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject* x) { const signed short neg_one = (signed short)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(signed short) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(signed short)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to signed short" : "value too large to convert to signed short"); } return (signed short)-1; } return (signed short)val; } return (signed short)__Pyx_PyInt_AsSignedLong(x); } static CYTHON_INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject* x) { const signed int neg_one = (signed int)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(signed int) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(signed int)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to signed int" : "value too large to convert to signed int"); } return (signed int)-1; } return (signed int)val; } return (signed int)__Pyx_PyInt_AsSignedLong(x); } static CYTHON_INLINE int __Pyx_PyInt_AsLongDouble(PyObject* x) { const int neg_one = (int)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(int) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(int)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to int" : "value too large to convert to int"); } return (int)-1; } return (int)val; } return (int)__Pyx_PyInt_AsLong(x); } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject* x) { const unsigned long neg_one = (unsigned long)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned long"); return (unsigned long)-1; } return (unsigned long)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(unsigned long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (unsigned long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned long"); return (unsigned long)-1; } return (unsigned long)PyLong_AsUnsignedLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(unsigned long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(unsigned long) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(unsigned long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (unsigned long)PyLong_AsLong(x); } } else { unsigned long val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (unsigned long)-1; val = __Pyx_PyInt_AsUnsignedLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject* x) { const unsigned PY_LONG_LONG neg_one = (unsigned PY_LONG_LONG)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned PY_LONG_LONG"); return (unsigned PY_LONG_LONG)-1; } return (unsigned PY_LONG_LONG)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(unsigned PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (unsigned PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned PY_LONG_LONG"); return (unsigned PY_LONG_LONG)-1; } return (unsigned PY_LONG_LONG)PyLong_AsUnsignedLongLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(unsigned PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(unsigned PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(unsigned PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (unsigned PY_LONG_LONG)PyLong_AsLongLong(x); } } else { unsigned PY_LONG_LONG val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (unsigned PY_LONG_LONG)-1; val = __Pyx_PyInt_AsUnsignedLongLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE long __Pyx_PyInt_AsLong(PyObject* x) { const long neg_one = (long)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to long"); return (long)-1; } return (long)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to long"); return (long)-1; } return (long)PyLong_AsUnsignedLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(long) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (long)PyLong_AsLong(x); } } else { long val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (long)-1; val = __Pyx_PyInt_AsLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject* x) { const PY_LONG_LONG neg_one = (PY_LONG_LONG)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to PY_LONG_LONG"); return (PY_LONG_LONG)-1; } return (PY_LONG_LONG)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to PY_LONG_LONG"); return (PY_LONG_LONG)-1; } return (PY_LONG_LONG)PyLong_AsUnsignedLongLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (PY_LONG_LONG)PyLong_AsLongLong(x); } } else { PY_LONG_LONG val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (PY_LONG_LONG)-1; val = __Pyx_PyInt_AsLongLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject* x) { const signed long neg_one = (signed long)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to signed long"); return (signed long)-1; } return (signed long)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(signed long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (signed long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to signed long"); return (signed long)-1; } return (signed long)PyLong_AsUnsignedLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(signed long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(signed long) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(signed long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (signed long)PyLong_AsLong(x); } } else { signed long val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (signed long)-1; val = __Pyx_PyInt_AsSignedLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject* x) { const signed PY_LONG_LONG neg_one = (signed PY_LONG_LONG)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to signed PY_LONG_LONG"); return (signed PY_LONG_LONG)-1; } return (signed PY_LONG_LONG)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(signed PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (signed PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to signed PY_LONG_LONG"); return (signed PY_LONG_LONG)-1; } return (signed PY_LONG_LONG)PyLong_AsUnsignedLongLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(signed PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(signed PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(signed PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (signed PY_LONG_LONG)PyLong_AsLongLong(x); } } else { signed PY_LONG_LONG val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (signed PY_LONG_LONG)-1; val = __Pyx_PyInt_AsSignedLongLong(tmp); Py_DECREF(tmp); return val; } } static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) { int i; if (!a || !b) return 0; if (a == b) return 1; if (a->size != b->size || a->typegroup != b->typegroup || a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { if (a->typegroup == 'H' || b->typegroup == 'H') { return a->size == b->size; } else { return 0; } } if (a->ndim) { for (i = 0; i < a->ndim; i++) if (a->arraysize[i] != b->arraysize[i]) return 0; } if (a->typegroup == 'S') { if (a->flags != b->flags) return 0; if (a->fields || b->fields) { if (!(a->fields && b->fields)) return 0; for (i = 0; a->fields[i].type && b->fields[i].type; i++) { __Pyx_StructField *field_a = a->fields + i; __Pyx_StructField *field_b = b->fields + i; if (field_a->offset != field_b->offset || !__pyx_typeinfo_cmp(field_a->type, field_b->type)) return 0; } return !a->fields[i].type && !b->fields[i].type; } } return 1; } static int __pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) { if (buf->shape[dim] <= 1) return 1; if (buf->strides) { if (spec & __Pyx_MEMVIEW_CONTIG) { if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { if (buf->strides[dim] != sizeof(void *)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly contiguous " "in dimension %d.", dim); goto fail; } } else if (buf->strides[dim] != buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } if (spec & __Pyx_MEMVIEW_FOLLOW) { Py_ssize_t stride = buf->strides[dim]; if (stride < 0) stride = -stride; if (stride < buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } } else { if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not contiguous in " "dimension %d", dim); goto fail; } else if (spec & (__Pyx_MEMVIEW_PTR)) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not indirect in " "dimension %d", dim); goto fail; } else if (buf->suboffsets) { PyErr_SetString(PyExc_ValueError, "Buffer exposes suboffsets but no strides"); goto fail; } } return 1; fail: return 0; } static int __pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec) { if (spec & __Pyx_MEMVIEW_DIRECT) { if (buf->suboffsets && buf->suboffsets[dim] >= 0) { PyErr_Format(PyExc_ValueError, "Buffer not compatible with direct access " "in dimension %d.", dim); goto fail; } } if (spec & __Pyx_MEMVIEW_PTR) { if (!buf->suboffsets || (buf->suboffsets && buf->suboffsets[dim] < 0)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly accessisble " "in dimension %d.", dim); goto fail; } } return 1; fail: return 0; } static int __pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) { int i; if (c_or_f_flag & __Pyx_IS_F_CONTIG) { Py_ssize_t stride = 1; for (i = 0; i < ndim; i++) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not fortran contiguous."); goto fail; } stride = stride * buf->shape[i]; } } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { Py_ssize_t stride = 1; for (i = ndim - 1; i >- 1; i--) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not C contiguous."); goto fail; } stride = stride * buf->shape[i]; } } return 1; fail: return 0; } static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj) { struct __pyx_memoryview_obj *memview, *new_memview; __Pyx_RefNannyDeclarations Py_buffer *buf; int i, spec = 0, retval = -1; __Pyx_BufFmt_Context ctx; int from_memoryview = __pyx_memoryview_check(original_obj); __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) original_obj)->typeinfo)) { memview = (struct __pyx_memoryview_obj *) original_obj; new_memview = NULL; } else { memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( original_obj, buf_flags, 0, dtype); new_memview = memview; if (unlikely(!memview)) goto fail; } buf = &memview->view; if (buf->ndim != ndim) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", ndim, buf->ndim); goto fail; } if (new_memview) { __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned) buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } for (i = 0; i < ndim; i++) { spec = axes_specs[i]; if (!__pyx_check_strides(buf, i, ndim, spec)) goto fail; if (!__pyx_check_suboffsets(buf, i, ndim, spec)) goto fail; } if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, new_memview != NULL) == -1)) { goto fail; } retval = 0; goto no_fail; fail: Py_XDECREF(new_memview); retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_double(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, PyBUF_RECORDS, 1, &__Pyx_TypeInfo_double, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_int(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, PyBUF_RECORDS, 1, &__Pyx_TypeInfo_int, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } static int __Pyx_check_binary_version(void) { char ctversion[4], rtversion[4]; PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) { char message[200]; PyOS_snprintf(message, sizeof(message), "compiletime version %s of module '%.100s' " "does not match runtime version %s", ctversion, __Pyx_MODULE_NAME, rtversion); #if PY_VERSION_HEX < 0x02050000 return PyErr_Warn(NULL, message); #else return PyErr_WarnEx(NULL, message, 1); #endif } return 0; } #ifndef __PYX_HAVE_RT_ImportModule #define __PYX_HAVE_RT_ImportModule static PyObject *__Pyx_ImportModule(const char *name) { PyObject *py_name = 0; PyObject *py_module = 0; py_name = __Pyx_PyIdentifier_FromString(name); if (!py_name) goto bad; py_module = PyImport_Import(py_name); Py_DECREF(py_name); return py_module; bad: Py_XDECREF(py_name); return 0; } #endif #ifndef __PYX_HAVE_RT_ImportType #define __PYX_HAVE_RT_ImportType static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict) { PyObject *py_module = 0; PyObject *result = 0; PyObject *py_name = 0; char warning[200]; Py_ssize_t basicsize; #ifdef Py_LIMITED_API PyObject *py_basicsize; #endif py_module = __Pyx_ImportModule(module_name); if (!py_module) goto bad; py_name = __Pyx_PyIdentifier_FromString(class_name); if (!py_name) goto bad; result = PyObject_GetAttr(py_module, py_name); Py_DECREF(py_name); py_name = 0; Py_DECREF(py_module); py_module = 0; if (!result) goto bad; if (!PyType_Check(result)) { PyErr_Format(PyExc_TypeError, "%s.%s is not a type object", module_name, class_name); goto bad; } #ifndef Py_LIMITED_API basicsize = ((PyTypeObject *)result)->tp_basicsize; #else py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); if (!py_basicsize) goto bad; basicsize = PyLong_AsSsize_t(py_basicsize); Py_DECREF(py_basicsize); py_basicsize = 0; if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) goto bad; #endif if (!strict && (size_t)basicsize > size) { PyOS_snprintf(warning, sizeof(warning), "%s.%s size changed, may indicate binary incompatibility", module_name, class_name); #if PY_VERSION_HEX < 0x02050000 if (PyErr_Warn(NULL, warning) < 0) goto bad; #else if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; #endif } else if ((size_t)basicsize != size) { PyErr_Format(PyExc_ValueError, "%s.%s has the wrong size, try recompiling", module_name, class_name); goto bad; } return (PyTypeObject *)result; bad: Py_XDECREF(py_module); Py_XDECREF(result); return NULL; } #endif static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { int start = 0, mid = 0, end = count - 1; if (end >= 0 && code_line > entries[end].code_line) { return count; } while (start < end) { mid = (start + end) / 2; if (code_line < entries[mid].code_line) { end = mid; } else if (code_line > entries[mid].code_line) { start = mid + 1; } else { return mid; } } if (code_line <= entries[mid].code_line) { return mid; } else { return mid + 1; } } static PyCodeObject *__pyx_find_code_object(int code_line) { PyCodeObject* code_object; int pos; if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { return NULL; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { return NULL; } code_object = __pyx_code_cache.entries[pos].code_object; Py_INCREF(code_object); return code_object; } static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { int pos, i; __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; if (unlikely(!code_line)) { return; } if (unlikely(!entries)) { entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); if (likely(entries)) { __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = 64; __pyx_code_cache.count = 1; entries[0].code_line = code_line; entries[0].code_object = code_object; Py_INCREF(code_object); } return; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { PyCodeObject* tmp = entries[pos].code_object; entries[pos].code_object = code_object; Py_DECREF(tmp); return; } if (__pyx_code_cache.count == __pyx_code_cache.max_count) { int new_max = __pyx_code_cache.max_count + 64; entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( __pyx_code_cache.entries, new_max*sizeof(__Pyx_CodeObjectCacheEntry)); if (unlikely(!entries)) { return; } __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = new_max; } for (i=__pyx_code_cache.count; i>pos; i--) { entries[i] = entries[i-1]; } entries[pos].code_line = code_line; entries[pos].code_object = code_object; __pyx_code_cache.count++; Py_INCREF(code_object); } #include "compile.h" #include "frameobject.h" #include "traceback.h" static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyObject *py_srcfile = 0; PyObject *py_funcname = 0; #if PY_MAJOR_VERSION < 3 py_srcfile = PyString_FromString(filename); #else py_srcfile = PyUnicode_FromString(filename); #endif if (!py_srcfile) goto bad; if (c_line) { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #else py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #endif } else { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromString(funcname); #else py_funcname = PyUnicode_FromString(funcname); #endif } if (!py_funcname) goto bad; py_code = __Pyx_PyCode_New( 0, /*int argcount,*/ 0, /*int kwonlyargcount,*/ 0, /*int nlocals,*/ 0, /*int stacksize,*/ 0, /*int flags,*/ __pyx_empty_bytes, /*PyObject *code,*/ __pyx_empty_tuple, /*PyObject *consts,*/ __pyx_empty_tuple, /*PyObject *names,*/ __pyx_empty_tuple, /*PyObject *varnames,*/ __pyx_empty_tuple, /*PyObject *freevars,*/ __pyx_empty_tuple, /*PyObject *cellvars,*/ py_srcfile, /*PyObject *filename,*/ py_funcname, /*PyObject *name,*/ py_line, /*int firstlineno,*/ __pyx_empty_bytes /*PyObject *lnotab*/ ); Py_DECREF(py_srcfile); Py_DECREF(py_funcname); return py_code; bad: Py_XDECREF(py_srcfile); Py_XDECREF(py_funcname); return NULL; } static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyObject *py_globals = 0; PyFrameObject *py_frame = 0; py_code = __pyx_find_code_object(c_line ? c_line : py_line); if (!py_code) { py_code = __Pyx_CreateCodeObjectForTraceback( funcname, c_line, py_line, filename); if (!py_code) goto bad; __pyx_insert_code_object(c_line ? c_line : py_line, py_code); } py_globals = PyModule_GetDict(__pyx_m); if (!py_globals) goto bad; py_frame = PyFrame_New( PyThreadState_GET(), /*PyThreadState *tstate,*/ py_code, /*PyCodeObject *code,*/ py_globals, /*PyObject *globals,*/ 0 /*PyObject *locals*/ ); if (!py_frame) goto bad; py_frame->f_lineno = py_line; PyTraceBack_Here(py_frame); bad: Py_XDECREF(py_code); Py_XDECREF(py_frame); } static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { while (t->p) { #if PY_MAJOR_VERSION < 3 if (t->is_unicode) { *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); } else if (t->intern) { *t->p = PyString_InternFromString(t->s); } else { *t->p = PyString_FromStringAndSize(t->s, t->n - 1); } #else /* Python 3+ has unicode identifiers */ if (t->is_unicode | t->is_str) { if (t->intern) { *t->p = PyUnicode_InternFromString(t->s); } else if (t->encoding) { *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL); } else { *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1); } } else { *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1); } #endif if (!*t->p) return -1; ++t; } return 0; } static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(char* c_str) { return __Pyx_PyUnicode_FromStringAndSize(c_str, strlen(c_str)); } static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject* o) { Py_ssize_t ignore; return __Pyx_PyObject_AsStringAndSize(o, &ignore); } static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT if ( #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII __Pyx_sys_getdefaultencoding_not_ascii && #endif PyUnicode_Check(o)) { #if PY_VERSION_HEX < 0x03030000 char* defenc_c; PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); if (!defenc) return NULL; defenc_c = PyBytes_AS_STRING(defenc); #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII { char* end = defenc_c + PyBytes_GET_SIZE(defenc); char* c; for (c = defenc_c; c < end; c++) { if ((unsigned char) (*c) >= 128) { PyUnicode_AsASCIIString(o); return NULL; } } } #endif /*__PYX_DEFAULT_STRING_ENCODING_IS_ASCII*/ *length = PyBytes_GET_SIZE(defenc); return defenc_c; #else /* PY_VERSION_HEX < 0x03030000 */ if (PyUnicode_READY(o) == -1) return NULL; #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII if (PyUnicode_IS_ASCII(o)) { *length = PyUnicode_GET_DATA_SIZE(o); return PyUnicode_AsUTF8(o); } else { PyUnicode_AsASCIIString(o); return NULL; } #else /* __PYX_DEFAULT_STRING_ENCODING_IS_ASCII */ return PyUnicode_AsUTF8AndSize(o, length); #endif /* __PYX_DEFAULT_STRING_ENCODING_IS_ASCII */ #endif /* PY_VERSION_HEX < 0x03030000 */ } else #endif /* __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT */ { char* result; int r = PyBytes_AsStringAndSize(o, &result, length); if (r < 0) { return NULL; } else { return result; } } } static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { int is_true = x == Py_True; if (is_true | (x == Py_False) | (x == Py_None)) return is_true; else return PyObject_IsTrue(x); } static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x) { PyNumberMethods *m; const char *name = NULL; PyObject *res = NULL; #if PY_MAJOR_VERSION < 3 if (PyInt_Check(x) || PyLong_Check(x)) #else if (PyLong_Check(x)) #endif return Py_INCREF(x), x; m = Py_TYPE(x)->tp_as_number; #if PY_MAJOR_VERSION < 3 if (m && m->nb_int) { name = "int"; res = PyNumber_Int(x); } else if (m && m->nb_long) { name = "long"; res = PyNumber_Long(x); } #else if (m && m->nb_int) { name = "int"; res = PyNumber_Long(x); } #endif if (res) { #if PY_MAJOR_VERSION < 3 if (!PyInt_Check(res) && !PyLong_Check(res)) { #else if (!PyLong_Check(res)) { #endif PyErr_Format(PyExc_TypeError, "__%s__ returned non-%s (type %.200s)", name, name, Py_TYPE(res)->tp_name); Py_DECREF(res); return NULL; } } else if (!PyErr_Occurred()) { PyErr_SetString(PyExc_TypeError, "an integer is required"); } return res; } static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { Py_ssize_t ival; PyObject* x = PyNumber_Index(b); if (!x) return -1; ival = PyInt_AsSsize_t(x); Py_DECREF(x); return ival; } static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { #if PY_VERSION_HEX < 0x02050000 if (ival <= LONG_MAX) return PyInt_FromLong((long)ival); else { unsigned char *bytes = (unsigned char *) &ival; int one = 1; int little = (int)*(unsigned char*)&one; return _PyLong_FromByteArray(bytes, sizeof(size_t), little, 0); } #else return PyInt_FromSize_t(ival); #endif } static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject* x) { unsigned PY_LONG_LONG val = __Pyx_PyInt_AsUnsignedLongLong(x); if (unlikely(val != (unsigned PY_LONG_LONG)(size_t)val)) { if ((val != (unsigned PY_LONG_LONG)-1) || !PyErr_Occurred()) PyErr_SetString(PyExc_OverflowError, "value too large to convert to size_t"); return (size_t)-1; } return (size_t)val; } #endif /* Py_PYTHON_H */ PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/_xas/include/0000755000276300001750000000000013205526235021550 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/_xas/include/bessel0.h0000644000276300001750000000247613136054446023272 0ustar solebliss00000000000000#/*########################################################################## # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ double j0Single(double); void j0Multiple(double *, int); PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/_xas/include/polspl.h0000644000276300001750000000256213136054446023242 0ustar solebliss00000000000000#/*########################################################################## # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ void polspl(double *, double *, double *, int, \ double *, double *, int *, int, double *, int); PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/_xas/src/0000755000276300001750000000000013205526235020714 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/_xas/src/polspl.c0000644000276300001750000001244713136054446022404 0ustar solebliss00000000000000#/*########################################################################## # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ #include #include #include #include "polspl.h" #define POLABS(x) (x>0) ? x : -x void polspl(double *xx, double *yy, double *w, int npts, \ double *xl, double *xh, int *nc, int nr, \ double *c, int csize) /* c must have enough memory to host Sum(nc[i] * nr) */ { int i,j,ibl,k,nk,ik,m,n,n1,ns,ne,ncol,i1,ni,ni1,nm1,ns1; double df[26], a[36][37]; double t; double xk[10]; int p, nbs[11]; for (i=0; i < 26; i++) { df[i] = 0.0; } for (i=0; i < 11; i++) { nbs[i] = 0; } for (i=0; i < 10; i++) { xk[i] = 0.0; } for (i=0; i < 36; i++) { for (j=0; j < 37; j++) { a[i][j] = 0.0; } } n = 0; nbs[1] = 1; for(i=1; i < nr+1 ;i++){ n = n + nc[i]; nbs[i+1] = n + 1 ; if(xl[i] >= xh[i]){ t = xl[i]; xl[i] = xh[i]; xh[i] = t; } } n = n + 2 * (nr - 1); n1 = n + 1; xl[nr + 1] = 0.0; xh[nr + 1] = 0.0; for(ibl=1; ibl < nr + 1 ;ibl++){ xk[ibl] = 0.5 * (xh[ibl] + xl[ibl+1]); if(xl[ibl] > xl[ibl+1]) { xk[ibl] = 0.5 * (xl[ibl] + xh[ibl+1]); } ns = nbs[ibl]; ne = nbs[ibl+1] - 1; for(i=1; i < npts+1 ; i++){ if((xx[i] >= xl[ibl]) && (xx[i] <= xh[ibl])){ df[ns] = 1.0; ns1 = ns + 1; for(j=ns1; j #include "bessel0.h" void j0Multiple(double *x, int n) { int i; for (i=0; i < n; i++) { x[i] = j0Single(x[i]); } } double j0Single(double x) { double f0, theta0; double tmpDouble; double tmpDouble3; if (x < 0) x = -x; if (x > 3) { /* Abramowitz and Stegun 9.4.3 */ /* Absolute error < 1.6E-08 */ tmpDouble = 3. / x; tmpDouble3 = pow(tmpDouble, 3); f0 = 0.79788456 - tmpDouble * (0.00000077 + 0.00552740 * tmpDouble) + \ tmpDouble3 * ( 0.00137237 * tmpDouble - 0.00009513) + \ tmpDouble3 * (0.00014476 * tmpDouble3 - 0.00072805 * tmpDouble * tmpDouble); theta0 = x - 0.78539816 - 0.04166397 * tmpDouble - \ 0.00003954 * tmpDouble * tmpDouble + \ tmpDouble3 * (0.00262573 - 0.00054125 * tmpDouble) + \ tmpDouble3 * (0.00013558 * tmpDouble3 - 0.00029333 * tmpDouble * tmpDouble); return pow(x, -0.5) * f0 * cos(theta0); } else { /* Abramowitz and Stegun 9.4.1 */ /* Absolute error < 5.0E-08 */ tmpDouble = pow(x/3., 2); tmpDouble = 1.0 - 2.2499997 * tmpDouble + \ 1.2656208 * tmpDouble * tmpDouble - \ 0.3163866 * tmpDouble * tmpDouble * tmpDouble + \ 0.0444479 * tmpDouble * tmpDouble * tmpDouble * tmpDouble - \ 0.0039444 * tmpDouble * tmpDouble * tmpDouble * tmpDouble * tmpDouble + \ 0.0002100 * tmpDouble * tmpDouble * tmpDouble * tmpDouble * tmpDouble * tmpDouble; return tmpDouble; } } PyMca5-5.2.2/PyMca5/PyMcaPhysics/xas/XASStackBatch.py0000644000276300001750000003413013136054446022134 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """ Module to process a stack of absorption spectra. """ import os import numpy import h5py import posixpath from PyMca5.PyMca import XASClass from PyMca5.PyMcaIO import ConfigDict import time DEBUG = 0 class XASStackBatch(object): def __init__(self, analyzer=None): if analyzer is None: analyzer = XASClass.XASClass() self._analyzer = analyzer def setConfiguration(self, configuration): if "XASParameters" in configuration: self._analyzer.setConfiguration(configuration["XASParameters"]) else: self._analyzer.setConfiguration(configuration) def setConfigurationFile(self, ffile): if not os.path.exists(ffile): raise IOError("File <%s> does not exists" % ffile) configuration = ConfigDict.ConfigDict() configuration.read(ffile) self.setConfiguration(configuration) def processMultipleSpectra(self, x, y, xmin=None, xmax=None, configuration=None, ysum=None, weight=None, mask=None, directory=None, name=None, entry=None): """ This method performs the actual work. :param x: 1D array containing the x axis (usually the channels) of the spectra. :param y: 3D array containing the spectra as [nrows, ncolumns, nchannels] :param weight: 0 Means no weight, 1 Use an average weight, 2 Individual weights (slow) :return: A dictionnary with the results as keys. """ if DEBUG: t0 = time.time() if configuration is not None: self._analyzer.setConfiguration(configuration) # read the current configuration config = self._analyzer.getConfiguration() # if weight is None: # dictated by the current configuration pass else: print("WARNING: weight not handled yet") weightPolicy = 0 # no weight #weightPolicy = 1 # use average weight from the sum spectrum #weightPolicy = 2 # individual pixel weights (slow) if hasattr(x, "value"): # hdf5 dataset x = x.value if hasattr(y, "info") and hasattr(y, "data"): data = y.data mcaIndex = y.info.get("McaIndex", -1) else: data = y mcaIndex = -1 if len(data.shape) != 3: txt = "For the time being only three dimensional arrays supported" raise IndexError(txt) if mcaIndex not in [-1, 2]: txt = "For the time being only mca arrays supported" raise IndexError(txt) firstSpectrum = None if ysum is not None: firstSpectrum = ysum if weightPolicy: # if the cumulated spectrum is present it should be better nRows = data.shape[0] nColumns = data.shape[1] nPixels = nRows * nColumns if ysum is not None: firstSpectrum = ysum elif weightPolicy == 1: # we need to calculate the sum spectrum to derive the uncertainties totalSpectra = data.shape[0] * data.shape[1] jStep = min(5000, data.shape[1]) ysum = numpy.zeros((data.shape[mcaIndex],), numpy.float) for i in range(0, data.shape[0]): if i == 0: chunk = numpy.zeros((data.shape[0], jStep), numpy.float) jStart = 0 while jStart < data.shape[1]: jEnd = min(jStart + jStep, data.shape[1]) ysum += data[i, jStart:jEnd, :].sum(axis=0, dtype=numpy.float) jStart = jEnd firstSpectrum = ysum else: firstSpectrum = data[0, :, :].sum(axis=0, dtype=numpy.float) if firstSpectrum is None: firstSpectrum = data[0, 0, :] # TODO: Check if only one X and it is well behaved in order to # avoid unnecessary calculation on each spectrum self._analyzer.setSpectrum(x, firstSpectrum) # initialize the output arrays ddict = self._analyzer.processSpectrum() # initialize the arrays from the first results entry0 = "PyMcaResults" usedEnergy = ddict["Energy"] usedMu = ddict["Mu"] normalizedIdx = (ddict["NormalizedEnergy"] >= ddict["NormalizedPlotMin"]) & \ (ddict["NormalizedEnergy"] <= ddict["NormalizedPlotMax"]) normalizedSpectrumX = ddict["NormalizedEnergy"][normalizedIdx] normalizedSpectrumY = ddict["NormalizedMu"][normalizedIdx] exafsIdx = (ddict["EXAFSKValues"] >= ddict["KMin"]) & \ (ddict["EXAFSKValues"] <= ddict["KMax"]) exafsSpectrumX = ddict["EXAFSKValues"][exafsIdx] exafsSpectrumY = ddict["EXAFSNormalized"][exafsIdx] xFT = ddict["FT"]["FTRadius"] yFT = ddict["FT"]["FTIntensity"] if directory is None: directory = os.getcwd() if name is None: name = "XAS_Result" fname = os.path.join(directory, name) if entry is None: entry = posixpath.join("xas_analysis") else: entry = posixpath.join(entry, "xas_analysis") if not fname.endswith(".h5"): fname = fname + ".h5" out = h5py.File(fname, "w") e0Path = posixpath.join(entry, "edge") jumpPath = posixpath.join(entry, "jump") spectrumXPath = posixpath.join(entry, "spectrum", "energy") spectrumYPath = posixpath.join(entry, "spectrum", "mu") normalizedXPath = posixpath.join(entry, "normalized", "energy") normalizedYPath = posixpath.join(entry, "normalized", "mu") exafsXPath = posixpath.join(entry, "exafs", "k") exafsYPath = posixpath.join(entry, "exafs", "signal") ftXPath = posixpath.join(entry, "FT", "Radius") ftYPath = posixpath.join(entry, "FT", "Intensity") ftImaginaryPath = posixpath.join(entry, "FT", "Imaginary") iXMin = 0 iXMax = data.shape[-1] - 1 e0 = out.require_dataset(e0Path, shape=data.shape[:-1], dtype=numpy.float32, chunks=None, compression=None) jump = out.require_dataset(jumpPath, shape=data.shape[:-1], dtype=numpy.float32, chunks=None, compression=None) shape = list(data.shape[:-1]) + [usedEnergy.size] spectrumX = out.require_dataset(spectrumXPath, shape=[usedEnergy.size], dtype=numpy.float32, chunks=None, compression=None) spectrumY = out.require_dataset(spectrumYPath, shape=shape, dtype=numpy.float32, chunks=None, compression=None) shape = list(data.shape[:-1]) + [normalizedSpectrumX.size] normalizedX = out.require_dataset(normalizedXPath, shape=[normalizedSpectrumX.size], dtype=numpy.float32, chunks=None, compression=None) normalizedY = out.require_dataset(normalizedYPath, shape=shape, dtype=numpy.float32, chunks=None, compression=None) shape = list(data.shape[:-1]) + [exafsSpectrumX.size] exafsX = out.require_dataset(exafsXPath, shape=[exafsSpectrumX.size], dtype=numpy.float32, chunks=None, compression=None) exafsY = out.require_dataset(exafsYPath, shape=shape, dtype=numpy.float32, chunks=None, compression=None) shape = list(data.shape[:-1]) + [xFT.size] ftX = out.require_dataset(ftXPath, shape=[xFT.size], dtype=numpy.float32, chunks=None, compression=None) ftY = out.require_dataset(ftYPath, shape=shape, dtype=numpy.float32, chunks=None, compression=None) ftImaginary = out.require_dataset(ftImaginaryPath, shape=shape, dtype=numpy.float32, chunks=None, compression=None) spectrumX[:] = ddict["Energy"] normalizedX[:] = ddict["NormalizedEnergy"][normalizedIdx] exafsX[:] = ddict["EXAFSKValues"][exafsIdx] ftX[:] = ddict["FT"]["FTRadius"] t0 = time.time() totalSpectra = data.shape[0] * data.shape[1] jStep = min(100, data.shape[1]) if weightPolicy == 2: SVD = False sigma_b = None elif weightPolicy == 1: # the +1 is to prevent misbehavior due to weights less than 1.0 sigma_b = 1 + numpy.sqrt(dummySpectrum)/nPixels SVD = True else: SVD = True sigma_b = None last_svd = None #for i in range(10): for i in range(0, data.shape[0]): #print(i) #chunks of nColumns spectra if i == 0: chunk = numpy.zeros((jStep, iXMax-iXMin+1), numpy.float) jStart = 0 j = 0 while jStart < data.shape[1]: jEnd = min(jStart + jStep, data.shape[1]) #chunk[:,:(jEnd - jStart)] = data[i, jStart:jEnd, iXMin:iXMax+1].T spectra = data[i, jStart:jEnd, iXMin:iXMax+1] nSpectra = spectra.shape[0] for spectrumNumber in range(nSpectra): if mask is not None: if mask[i, j] == 0: continue self._analyzer.setSpectrum(x, spectra[spectrumNumber]) ddict = self._analyzer.processSpectrum() spectrumY[i, j] = ddict["Mu"] e0[i, j] = ddict["Edge"] jump[i, j] = ddict["Jump"] #normalizedX[i, j] = ddict["NormalizedEnergy"][normalizedIdx] normalizedY[i, j] = ddict["NormalizedMu"][normalizedIdx] #exafsX[i, j] = ddict["EXAFSKValues"][exafsIdx] exafsY[i, j] = ddict["EXAFSNormalized"][exafsIdx] #ftX[i, j] = ddict["FT"]["FTRadius"] ftY[i, j] = ddict["FT"]["FTIntensity"] ftImaginary[i, j] = ddict["FT"]["FTImaginary"] j +=1 jStart = jEnd outputDict = {} outputDict["names"] = ["Jump", "Edge"] output = numpy.zeros((2, e0.shape[0], e0.shape[1]), dtype = e0.dtype) output[0, :] = jump.value output[1, :] = e0.value outputDict["images"] = output out.flush() out.close() if DEBUG: t = time.time() - t0 print("First fit elapsed = %f" % t) print("Spectra per second = %f" % (data.shape[0]*data.shape[1]/float(t))) t0 = time.time() return outputDict if __name__ == "__main__": DEBUG = 1 analyzer = XASClass.XASClass() instance = XASStackBatch(analyzer=analyzer) configurationFile = "test.ini" dataFile = h5py.File("testdata.h5", "r") for entry in dataFile: data = dataFile[entry]["data"] energy = dataFile[entry]["energy"] break instance.setConfigurationFile(configurationFile) instance.processMultipleSpectra(energy, data) dataFile.close() PyMca5-5.2.2/PyMca5/Object3D/0000755000276300001750000000000013205526235015421 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/Object3D/Object3DSlider.py0000644000276300001750000000745013136054446020544 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from . import Object3DQt as qt QTVERSION = qt.qVersion() DEBUG = 0 class Object3DSlider(qt.QWidget): valueChanged = qt.pyqtSignal(float) def __init__(self, parent = None, orientation=qt.Qt.Horizontal): qt.QWidget.__init__(self, parent) if orientation == qt.Qt.Horizontal: alignment = qt.Qt.AlignHCenter | qt.Qt.AlignTop layout = qt.QHBoxLayout(self) else: alignment = qt.Qt.AlignVCenter | qt.Qt.AlignLeft layout = qt.QVBoxLayout(self) layout.setContentsMargins(0, 0, 0, 0) layout.setSpacing(0) self.slider = qt.QSlider(self) self.slider.setOrientation(orientation) self.label = qt.QLabel("0", self) self.label.setAlignment(alignment) self.label.setFixedWidth(self.label.fontMetrics().width('100.99')) layout.addWidget(self.slider) layout.addWidget(self.label) self.slider.valueChanged.connect(self.setNum) self.__factor = 100. def setNum(self, value): if self.__factor != 0.0: value = value / self.__factor self.label.setText('%.2f' % value) self.valueChanged.emit(value) def setRange(self, minValue, maxValue, increment=None): if increment is None: self.__factor = 201. else: self.__factor = (maxValue - minValue) / float(increment) self.slider.setRange(int(minValue * self.__factor), int(maxValue * self.__factor)) def setValue(self, value): self.slider.setValue(value * self.__factor) def value(self): if self.__factor != 0.0: return self.slider.value()/self.__factor else: return float(self.slider.value()) def minValue(self): if self.__factor != 0.0: return self.slider.minimum() / self.__factor else: return float(self.slider.minimum()) def maxValue(self): if self.__factor != 0.0: return self.slider.maximum() / self.__factor else: return float(self.slider.maximum()) def step(self): if self.__factor != 0.0: return self.slider.singleStep() / self.__factor else: return float(self.slider.singleStep()) def singleStep(self): return self.step() def test(): app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) w = Object3DSlider() w.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/Object3D/Object3DCoordinates.py0000644000276300001750000002312313136054446021567 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import OpenGL.GL as GL import OpenGL.GLU as GLU import weakref class Object3DCoordinates(object): def __init__(self, parent, limits = None): """ The parent has to be a QGLWidget """ self.parent = weakref.proxy(parent) self.limits = limits self.drawX = True self.drawY = True self.drawZ = True self.delta = 0.1 def setLimits(self, limits): self.limits = limits def setFlags(self, xflag, yflag, zflag): self.drawX = xflag self.drawY = yflag self.drawZ = zflag def draw(self): if self.limits is None: return if self.drawX or self.drawY or self.drawZ: #get the viewport limits vlimits = self.convertToViewportLimits(self.limits) if self.drawX: self.drawXAxis(vlimits) if self.drawY: self.drawYAxis(vlimits) if self.drawZ: self.drawZAxis(vlimits) def convertToViewportLimits(self, limits): xmin, ymin, zmin = limits[0] xmax, ymax, zmax = limits[1] limits = [] limits.append(GLU.gluProject(xmin, ymin, zmin)) limits.append(GLU.gluProject(xmin, ymin, zmax)) limits.append(GLU.gluProject(xmin, ymax, zmin)) limits.append(GLU.gluProject(xmin, ymax, zmax)) limits.append(GLU.gluProject(xmax, ymin, zmin)) limits.append(GLU.gluProject(xmax, ymin, zmax)) limits.append(GLU.gluProject(xmax, ymax, zmin)) limits.append(GLU.gluProject(xmax, ymax, zmax)) lminx, lminy, lminz = limits[0] lmaxx, lmaxy, lmaxz = limits[0] for i in range(len(limits)): x, y, z = limits[i] if x < lminx: lminx = x elif x > lmaxx: lmaxx = x if y < lminy: lminy = y elif y > lmaxy: lmaxy = y if z < lminz: lminz = z elif z > lmaxz: lmaxz = z return [[lminx, lminy, lminz], [lmaxx, lmaxy, lmaxz]] def drawXAxis(self, vlimits): xmin, ymin, zmin = self.limits[0] xmax, ymax, zmax = self.limits[1] difference_vector = self.limits[1] - self.limits[0] deltax, deltay, deltaz = self.delta * (difference_vector) begin = [[xmin, ymin - deltay, zmin - deltaz], [xmin, ymax + deltay, zmin - deltaz], [xmin, ymin - deltay, zmax + deltaz], [xmin, ymax + deltay, zmax + deltaz]] end = [[xmax, ymin - deltay, zmin - deltaz], [xmax, ymax + deltay, zmin - deltaz], [xmax, ymin - deltay, zmax + deltaz], [xmax, ymax + deltay, zmax + deltaz]] X = [] for i in range(4): X.append([GLU.gluProject(*begin[i]), GLU.gluProject(*end[i])]) #print "0->0, 1", vlimits[0][0], vlimits[1][0] #print "1->0, 1", vlimits[0][1], vlimits[1][1] possible = [1, 1, 1, 1] i = 0 for item in X: if (item[0][0] > vlimits[0][0]) and (item[0][0] < vlimits[1][0]) and \ (item[0][1] > vlimits[0][1]) and (item[0][1] < vlimits[1][1]): possible[i] = 0 elif (item[1][0] > vlimits[0][0]) and (item[1][0] < vlimits[1][0]) and \ (item[1][1] > vlimits[0][1]) and (item[1][1] < vlimits[1][1]): possible[i] = 0 i += 1 #print "POSSIBLE = ", possible j = None for i in range(4): if possible[i]: if j is None: j = i else: if X[i][0][0] > X[j][0][0]: j = i if j is not None: i = j GL.glColor3f(0.5, 0.0, 0.0) #RED for X Axis self.parent.renderText(begin[i][0], begin[i][1], begin[i][2], "%.3f" % (begin[i][0]), self.parent.font(), 2000) self.parent.renderText(end[i][0], end[i][1], end[i][2], "%.3f" % (end[i][0]), self.parent.font(), 2000) return def drawYAxis(self, vlimits): xmin, ymin, zmin = self.limits[0] xmax, ymax, zmax = self.limits[1] difference_vector = self.limits[1] - self.limits[0] deltax, deltay, deltaz = self.delta * (difference_vector) begin = [[xmin - deltax, ymin, zmin - deltaz], [xmin - deltax, ymin, zmax + deltaz], [xmax + deltax, ymin, zmin - deltaz], [xmax + deltax, ymin, zmax + deltaz]] end = [[xmin - deltax, ymax, zmin - deltaz], [xmin - deltax, ymax, zmax + deltaz], [xmax + deltax, ymax, zmin - deltaz], [xmax + deltax, ymax, zmax + deltaz]] X = [] for i in range(4): X.append([GLU.gluProject(*begin[i]), GLU.gluProject(*end[i])]) possible = [1, 1, 1, 1] i = 0 for item in X: if (item[0][0] > vlimits[0][0]) and (item[0][0] < vlimits[1][0]) and \ (item[0][1] > vlimits[0][1]) and (item[0][1] < vlimits[1][1]): possible[i] = 0 elif (item[1][0] > vlimits[0][0]) and (item[1][0] < vlimits[1][0]) and \ (item[1][1] > vlimits[0][1]) and (item[1][1] < vlimits[1][1]): possible[i] = 0 i += 1 j = None for i in range(4): if possible[i]: if j is None: j = i else: if X[i][0][0] > X[j][0][0]: j = i if j is not None: i = j GL.glColor3f(0.0, 0.5, 0.0) #GREEN for Y Axis self.parent.renderText(begin[i][0], begin[i][1], begin[i][2], "%.3f" % (begin[i][1]), self.parent.font(), 2000) self.parent.renderText(end[i][0], end[i][1], end[i][2], "%.3f" % (end[i][1]), self.parent.font(), 2000) return def drawZAxis(self, vlimits): xmin, ymin, zmin = self.limits[0] xmax, ymax, zmax = self.limits[1] difference_vector = self.limits[1] - self.limits[0] deltax, deltay, deltaz = self.delta * (difference_vector) begin = [[xmin - deltax, ymin - deltay, zmin], [xmin - deltax, ymax + deltay, zmin], [xmax + deltax, ymin - deltay, zmin], [xmax + deltax, ymax + deltay, zmin]] end = [[xmin - deltax, ymin - deltay, zmax], [xmin - deltax, ymax + deltay, zmax], [xmax + deltax, ymin - deltay, zmax], [xmax + deltax, ymax + deltay, zmax]] X = [] for i in range(4): X.append([GLU.gluProject(*begin[i]), GLU.gluProject(*end[i])]) possible = [1, 1, 1, 1] i = 0 for item in X: if (item[0][0] > vlimits[0][0]) and (item[0][0] < vlimits[1][0]) and \ (item[0][1] > vlimits[0][1]) and (item[0][1] < vlimits[1][1]): possible[i] = 0 elif (item[1][0] > vlimits[0][0]) and (item[1][0] < vlimits[1][0]) and \ (item[1][1] > vlimits[0][1]) and (item[1][1] < vlimits[1][1]): possible[i] = 0 i += 1 j = None for i in range(4): if possible[i]: #if pow(pow(X[i][1][0] - X[i][0][0], 2) + pow(X[i][1][1] - X[i][0][1], 2),0.5) > 30: if j is None: j = i else: if X[i][0][0] > X[j][0][0]: j = i if j is not None: i = j GL.glColor3f(0.0, 0.0, 0.5) #BLUE for Z Axis self.parent.renderText(begin[i][0], begin[i][1], begin[i][2], "%.3f" % (begin[i][2]), self.parent.font(), 2000) self.parent.renderText(end[i][0], end[i][1], end[i][2], "%.3f" % (end[i][2]), self.parent.font(), 2000) return PyMca5-5.2.2/PyMca5/Object3D/Object3DPrivateConfig.py0000644000276300001750000000640113136054446022055 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from . import Object3DQt as qt from .HorizontalSpacer import HorizontalSpacer from .VerticalSpacer import VerticalSpacer import weakref DEBUG = 0 class Object3DPrivateConfig(qt.QWidget): def __init__(self, parent = None, name=""): qt.QWidget.__init__(self, parent) self.setWindowTitle("%s private configuration" % name) self._configuration = {} self._configuration['widget'] = weakref.proxy(self) self.callBack = None self._name = name self.build() def __del__(self): if DEBUG: print("Object3DPrivateConfig %s deleted" % self._name) def build(self): self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(4, 4, 4, 4) self.mainLayout.setSpacing(4) self.button = qt.QPushButton(self) self.button.setText("Test Signal") self.mainLayout.addWidget(VerticalSpacer(self), 0, 0, 1, 3) self.mainLayout.addWidget(HorizontalSpacer(self), 1, 0) self.mainLayout.addWidget(self.button, 1, 1) self.mainLayout.addWidget(HorizontalSpacer(self), 1, 2) self.mainLayout.addWidget(VerticalSpacer(self), 2, 0, 1, 3) self.button.clicked.connect(self.updateCallBack) def setParameters(self, ddict): for key in ddict.keys(): if key in self._configuration: if key != 'widget': self._configuration[key].update(ddict[key]) self._updateWidget() return True def _updateWidget(self): return def getParameters(self): return self._configuration def setCallBack(self, f): self.callBack = f def updateCallBack(self): if self.callBack is not None: self.callBack() if __name__ == "__main__": import sys app = qt.QApplication(sys.argv) def myslot(): print("Callback called") w = Object3DPrivateConfig() w.setCallBack(myslot) w.show() app.exec_() PyMca5-5.2.2/PyMca5/Object3D/SceneGLWindow.py0000644000276300001750000007764413136054446020470 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import os import sys import numpy import weakref import glob import OpenGL.GL as GL import OpenGL.GLU as GLU #This is to simplify freezing try: from PyMca5.PyMcaIO import EDFStack from PyMca5 import spslut except: try: import EDFStack import spslut except: pass from . import Object3DCTools from . import Object3DQhull # End of freeze options #This hould be in PyMca, I put it here for the time being try: from .Object3DPlugins import Object3DMesh from .Object3DPlugins import Object3DStack except: pass #End of PyMca specific imports from . import Object3DConfig from . import SceneGLWidget qt=SceneGLWidget.qt from . import Object3DIcons #import Object3D from . import Object3DSlider from . import SceneControl from .HorizontalSpacer import HorizontalSpacer from .VerticalSpacer import VerticalSpacer from . import SceneManager from . import GLToolBar from . import Object3DPrintPreview from PyMca5.PyMcaGui import PyMcaFileDialogs if hasattr(qt, "QString"): qtQString = qt.QString else: qtQString = qt.safe_str DEBUG = 0 def getObject3DModules(directory=None): if directory is None: directory = os.path.dirname(SceneGLWidget.__file__) if (os.path.basename(directory) == 'library.zip') or\ SceneGLWidget.__file__.endswith('.exe'): #handle frozen versions directory = os.path.dirname(directory) if len(directory): directory = os.path.join(directory, "Object3DPlugins") else: directory = os.path.join(directory,".", "Object3DPlugins") if not os.path.exists(directory): raise IOError("Directory:\n%s\ndoes not exist." % directory) if directory not in sys.path: sys.path.append(directory) fileList = glob.glob(os.path.join(directory, "*.py")) moduleList = [] for module in fileList: try: m = __import__(os.path.basename(module)[:-3]) if hasattr(m, 'getObject3DInstance'): moduleList.append(m) except: if DEBUG: print("Problem importing module %s" % module) if not len(moduleList): raise IOError("No plugins found in directory %s" % directory) return moduleList class WheelAndSlider(qt.QWidget): def __init__(self, parent = None, orientation = qt.Qt.Horizontal): qt.QWidget.__init__(self, parent) if orientation == qt.Qt.Horizontal: self.mainLayout = qt.QHBoxLayout(self) else: orientation = qt.Qt.Vertical self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) #self.wheel = Qwt5.QwtWheel(self) #self.wheel.setOrientation(orientation) self.slider = Object3DSlider.Object3DSlider(self, orientation) if orientation == qt.Qt.Horizontal: #self.mainLayout.addWidget(self.wheel) self.mainLayout.addWidget(self.slider) else: self.mainLayout.addWidget(self.slider) #self.mainLayout.addWidget(self.wheel) class WheelAndLineEdit(qt.QWidget): def __init__(self, parent = None, orientation=qt.Qt.Horizontal): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QHBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.wheel = Object3DSlider.Object3DSlider(self, orientation) self.lineEdit = qt.QLineEdit(self) self.lineEdit.setText("") self.lineEdit.setReadOnly(True) self.mainLayout.addWidget(self.wheel) self.mainLayout.addWidget(self.lineEdit) class WheelAndSpacer(qt.QWidget): def __init__(self, parent = None, orientation = qt.Qt.Horizontal): qt.QWidget.__init__(self, parent) if orientation == qt.Qt.Horizontal: self.mainLayout = qt.QHBoxLayout(self) self.spacer = HorizontalSpacer(self) else: orientation = qt.Qt.Vertical self.mainLayout = qt.QVBoxLayout(self) self.spacer = VerticalSpacer(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.wheel = Object3DSlider.Object3DSlider(self, orientation) if orientation == qt.Qt.Horizontal: self.mainLayout.addWidget(self.wheel) self.mainLayout.addWidget(self.spacer) else: self.mainLayout.addWidget(self.spacer) self.mainLayout.addWidget(self.wheel) class SceneGLWindow(qt.QWidget): def __init__(self, parent=None, manager=None, printpreview=None): qt.QWidget.__init__(self, parent) self.mainLayout = qt.QGridLayout(self) if printpreview is None: self.printPreview = Object3DPrintPreview.Object3DPrintPreview(modal = 0) else: self.printPreview = printpreview self.buildToolBar() self.wheelSlider10 = WheelAndSpacer(self, orientation = qt.Qt.Vertical) # Wheel self.__applyingCube = False #self.wheelSlider10.wheel.setMass(0.5) self.wheelSlider10.wheel.setRange(-360., 360., 0.5) self.wheelSlider10.wheel.setValue(0.0) #self.wheelSlider10.wheel.setTotalAngle(360.) self.wheelSlider10.wheel.valueChanged[float].connect(self.setTheta) self.glWidget = SceneGLWidget.SceneGLWidget(self) self.scene = weakref.proxy(self.glWidget.scene) self.glWidget.setObjectSelectionMode(True) self.wheelSlider12 = Object3DSlider.Object3DSlider(self, qt.Qt.Vertical) #self.axesObject = BlissGLAxesObject.BlissGLAxesObject("3D Axes") #self.glWidget.addObject3D(self.axesObject) #self.wheelSlider12.setScaleEngine(Qwt5.QwtLog10ScaleEngine()) #self.wheelSlider12.setThumbWidth(20) self.wheelSlider12.setRange(-10, 10, 0.05) #self.wheelSlider12.setScale(0.01, 100) self.wheelSlider12.setValue(0.0) #self.wheelSlider12.setScaleMaxMinor(10) self.wheelSlider12.valueChanged.connect(self.setZoomFactor) self.wheelSlider21 = WheelAndLineEdit(self, orientation = qt.Qt.Horizontal) #wheel #self.wheelSlider21.wheel.setMass(0.5) self.wheelSlider21.wheel.setRange(-360., 360., 0.5) self.wheelSlider21.wheel.setValue(0.0) #self.wheelSlider21.wheel.setTotalAngle(360.) self.infoLine = self.wheelSlider21.lineEdit self.infoLine.setText("Scene is in object selection mode.") self.wheelSlider21.wheel.valueChanged.connect(self.setPhi) self.mainLayout.addWidget(self.toolBar, 0, 1) self.mainLayout.addWidget(self.wheelSlider10, 1, 0) self.mainLayout.addWidget(self.glWidget, 1, 1) self.mainLayout.addWidget(self.wheelSlider12, 1, 2) self.mainLayout.addWidget(self.wheelSlider21, 2, 1) if manager is None: self.manager = SceneManager.SceneManager(None, glwindow=self) self.sceneControl=self.manager.sceneControl #self.sceneControl = SceneControl.SceneControl(None, self.glWidget.scene) #self.manager.sceneControl self.connectSceneControl() #self.manager.show() #self.sceneControl.show() self.manager.sigSceneManagerSignal.connect(self.sceneManagerSlot) else: self.manager=weakref.proxy(manager) self.activeObject = None self.glWidget.sigObjectSelected.connect(self.objectSelectedSlot) self.glWidget.sigVertexSelected.connect(self.vertexSelectedSlot) self.setWindowTitle("Object3D Scene") def connectSceneControl(self): self.selectedObjectControl = self.sceneControl.selectedObjectControl self.sceneControl.updateView() self.sceneControl.sigSceneControlSignal.connect(self.sceneControlSlot) self.selectedObjectControl.sigObject3DConfigSignal.connect(\ self.objectControlSlot) def buildToolBar(self): self.toolBar = GLToolBar.GLToolBar(self) self.toolBar.sigGLToolBarSignal.connect(self.applyCube) IconDict = Object3DIcons.IconDict self.normalIcon = qt.QIcon(qt.QPixmap(IconDict["cursor_normal"])) self.sizeallIcon = qt.QIcon(qt.QPixmap(IconDict["cursor_sizeall"])) self.pointingHandIcon = qt.QIcon(qt.QPixmap(IconDict["cursor_pointinghand"])) self.whatIcon = qt.QIcon(qt.QPixmap(IconDict["cursor_what"])) # the object selection toggle text = "Object selection Mode" text += "\nIt may be faster to select objects\n" text += "objects through the control window." tb = self._addToolButton(self.normalIcon, self.setObjectSelectionModeSlot, text, toggle = True, state = True) self.buttonObjectSelectionMode = tb self.objectSelectionMode = False # the vertex toggle tb = self._addToolButton(self.pointingHandIcon, self.setVertexSelectionModeSlot, "Vertex selection Mode", toggle = True, state = False) self.buttonVertexSelectionMode = tb self.vertexSelectionMode = False # the panning toggle tb = self._addToolButton(self.sizeallIcon, self.setScenePanningModeSlot, "Scene panning Mode", toggle = True, state = False) self.buttonScenePanningMode = tb self.scenePanningMode = False #give empty space spacer = HorizontalSpacer(self.toolBar) self.toolBar.layout().addWidget(spacer) #the possibility to load an object from a file self.controlIcon = qt.QIcon() tb = self._addToolButton(self.controlIcon, self.showSceneControlWindow, "Show control window") #the possibility to load an object from a file self.openIcon = qt.QIcon(qt.QPixmap(IconDict["file_open"])) tb = self._addToolButton(self.openIcon, self.addObjectFromFileDialog, "Add 3DObject from file") #the possibility to save a "photo" of the 3D scene self.saveIcon = qt.QIcon(qt.QPixmap(IconDict["file_save"])) tb = self._addToolButton(self.saveIcon, self.saveImage, "Save 3DScene to a file") #print the 3D scene self.printIcon = qt.QIcon(qt.QPixmap(IconDict["print"])) tb = self._addToolButton(self.printIcon, self.printWidget, "Print widget") def applyCube(self, ddict): if 'face' in ddict: position = self.scene.applyCube(ddict['face']) self.glWidget.setCurrentViewPosition(position) self.__applyingCube = True self.wheelSlider10.wheel.setValue(0.0) self.wheelSlider21.wheel.setValue(0.0) self.__applyingCube = False def setObjectSelectionModeSlot(self): self.vertexSelectionMode = False self.objectSelectionMode = True self.scenePanningMode = False self.buttonVertexSelectionMode.setChecked(self.vertexSelectionMode) self.buttonObjectSelectionMode.setChecked(self.objectSelectionMode) self.buttonScenePanningMode.setChecked(self.scenePanningMode) self.glWidget.setObjectSelectionMode(self.objectSelectionMode) self.glWidget.setVertexSelectionMode(self.vertexSelectionMode) self.glWidget.setCursor(qt.QCursor(qt.Qt.ArrowCursor)) text = "Scene is in object selection mode." current = self.scene.getSelectedObject() if current not in [None, self.scene.name()]: text += " Object %s currently selected." % current self.infoLine.setText(text) def setVertexSelectionModeSlot(self): self.vertexSelectionMode = True self.objectSelectionMode = False self.scenePanningMode = False self.buttonVertexSelectionMode.setChecked(self.vertexSelectionMode) self.buttonObjectSelectionMode.setChecked(self.objectSelectionMode) self.buttonScenePanningMode.setChecked(self.scenePanningMode) self.glWidget.setObjectSelectionMode(self.objectSelectionMode) self.glWidget.setVertexSelectionMode(self.vertexSelectionMode) #self.glWidget.setCursor(qt.QCursor(qt.Qt.WhatsThisCursor)) self.glWidget.setCursor(qt.QCursor(qt.Qt.PointingHandCursor)) current = self.scene.getSelectedObject() o3d = self.scene.getObject3DProxy(current) if current in [None, self.scene.name()]: text = ("Vertex selection mode is useless without a selected object.") elif not o3d.isVertexSelectionModeSupported(): text = "Object %s does not support vertex selection mode." % current else: text = ("Vertex selection mode for object %s." % current) self.infoLine.setText(text) def setScenePanningModeSlot(self): if self.scenePanningMode: # nothing to be done return self.vertexSelectionMode = False self.objectSelectionMode = False self.scenePanningMode = True self.buttonVertexSelectionMode.setChecked(self.vertexSelectionMode) self.buttonObjectSelectionMode.setChecked(self.objectSelectionMode) self.buttonScenePanningMode.setChecked(self.scenePanningMode) self.glWidget.setObjectSelectionMode(self.objectSelectionMode) self.glWidget.setVertexSelectionMode(self.vertexSelectionMode) self.glWidget.setCursor(qt.QCursor(qt.Qt.SizeAllCursor)) self.infoLine.setText("Scene is in panning mode.") def saveImage(self): filelist = PyMcaFileDialogs.getFileList( parent=self, filetypelist=["Image files (*.png)"], message="Please give output file name", mode="SAVE", getfilter=False) if len(filelist): self.glWidget.saveImage(filelist[0]) def printWidget(self): #pixmap = qt.QPixmap.grabWidget(self) #self.printPreview.addPixmap(pixmap) qimage = self.glWidget.getQImage() self.printPreview.addImage(qimage) if self.printPreview.isHidden(): self.printPreview.show() self.printPreview.raise_() def _addToolButton(self, icon, action, tip, toggle=None, state=None, position=None): tb = qt.QToolButton(self.toolBar) tb.setIcon(icon) tb.setToolTip(tip) if toggle is not None: if toggle: tb.setCheckable(1) if state is not None: if state: tb.setChecked(state) else: tb.setChecked(False) if position is not None: self.toolBar.mainLayout.insertWidget(position, tb) else: self.toolBar.mainLayout.addWidget(tb) if action is not None: # The action should not accept any parameter because # the [()] trick does not any longer work tb.clicked.connect(action) return tb def sceneManagerSlot(self, ddict): if DEBUG: print("sceneManagerSlot", ddict) if ddict['event'] == 'addObject': if ddict['object'] is not None: self.addObject(ddict['object'], ddict['legend']) else: self.addObjectFromFileDialog() elif ddict['event'] == 'configurationLoaded': theta, phi = self.scene.getThetaPhi() self.__applyingCube = True self.wheelSlider10.wheel.setValue(theta) self.wheelSlider21.wheel.setValue(phi) zoomFactor = self.scene.getZoomFactor() self.wheelSlider12.setValue(numpy.log(zoomFactor)/numpy.log(2)) self.__applyingCube = False else: if DEBUG: print("DOING NOTHING") def showSceneControlWindow(self): if self.manager is not None: self.manager.show() self.manager.raise_() def _getObject3D(self): moduleList = getObject3DModules() if not len(moduleList): return None actionList = [] menu = qt.QMenu(self) for m in moduleList: function = m.getObject3DInstance if hasattr(m, 'MENU_TEXT'): text = qtQString(m.MENU_TEXT) else: text = os.path.basename(m.__file__) if text.endswith('.pyc'): text = text[:-4] elif text.endswith('.py'): text = text[:-3] text = qtQString(text) menu.addAction(text) actionList.append(text) a = menu.exec_(qt.QCursor.pos()) if a is None: return None idx = actionList.index(a.text()) object3D = moduleList[idx].getObject3DInstance() return object3D def addObjectFromFileDialog(self): try: object3D = self._getObject3D() if object3D is not None: try: self.addObject(object3D, object3D.name()) except: self.addObject(object3D) except: qt.QMessageBox.critical(self, "Error adding object", "%s\n %s" % (sys.exc_info()[0], sys.exc_info()[1]), qt.QMessageBox.Ok | qt.QMessageBox.Default, qt.QMessageBox.NoButton) def sceneControlSlot(self, ddict): if DEBUG: print("sceneControlSlot", ddict) if ddict['event'] in ["objectSelected", "objectDeleted", "objectReplaced"]: ddict['legend'] = ddict['current'] self.objectSelectedSlot(ddict, update_scene=False) elif ddict['event'] in ["SceneLimitsChanged"]: if ddict['autoscale'] or self.scene.getAutoScale(): #force limits update self.scene.setAutoScale(True) self.scene.getLimits() self.sceneControl.updateView() self.glWidget.setZoomFactor(self.glWidget.getZoomFactor()) return #self.glWidget.updateGL() self.glWidget.setZoomFactor(self.glWidget.getZoomFactor()) def setSelectedObject(self, name, update_scene=True): self.objectSelectedSlot({'legend':name}, update_scene=update_scene) def objectSelectedSlot(self, ddict, update_scene=True): if DEBUG: print("objectSelectedSlot", ddict) if self.selectedObjectControl is None: self.selectedObjectControl = Object3DConfig.Object3DConfig() self.selectedObjectControl.sigObject3DConfigSignal.connect(\ self.objectControlSlot) # It is not necessary to show the manager if 0: if self.manager.isHidden(): self.manager.show() legend = ddict['legend'] if legend is None: return #Should I deselect object? self.activeObject = legend if update_scene: self.scene.setSelectedObject(self.activeObject) #print "BEFORE = ",self.scene.getSelectedObject() self.sceneControl.updateView() #print "AFTER = ",self.scene.getSelectedObject() #self.glWidget.objectsDict[legend]['object3D'].setSelected(True) configDict = self.scene[legend].root[0].getConfiguration() try: ddict['pointsizecapabilities'] = [self.glWidget._pointSizes[0], self.glWidget._pointSizes[-1], self.glWidget._pointSizeStep] ddict['linewidthcapabilities'] = [self.glWidget._lineWidths[0], self.glWidget._lineWidths[-1], self.glWidget._lineWidthStep] except: print("Error reading point and line capabilities. GL widget not initialized yet?") pass configDict['common'].update(ddict) self.selectedObjectControl.setWindowTitle(legend) self.selectedObjectControl.setConfiguration(configDict) self.selectedObjectControl.show() # This does not seem to be a problem any longer if 0: #make sure we do not mix modes self.setObjectSelectionModeSlot() text = "Object %s selected." % self.activeObject if 'event' in ddict: if ddict['event'] == "objectDeleted": text = ("Object %s deleted. " % ddict['previous']) + text self.infoLine.setText(text) if DEBUG: print("WHAT IS SCENE SAYING?") print("ACTIVE IS ", self.scene.getSelectedObject()) def objectControlSlot(self, ddict): if DEBUG: print("objectControlSlot", ddict) if self.activeObject is None: ndict = {} ndict['legend'] = self.scene.name() self.objectSelectedSlot(ndict, update_scene=True) self.activeObject = self.scene.name() legend = self.activeObject if legend not in self.scene.getObjectList(): self.selectedObjectControl.hide() return configDict = {'common':{}, 'private':{}} if 'private' in ddict: configDict['private'] = ddict['private'] oldScale = self.scene[legend].root[0].getConfiguration()['common']['scale'] configDict['common'].update(ddict['common']) self.scene[legend].root[0].setConfiguration(configDict) rootEvent = ddict.get('event', None) if legend == self.scene.name(): sceneEventProcessed = False if rootEvent is not None: if rootEvent in ['AspectUpdated', 'DrawModeUpdated']: # only properties passed to all objects are those related to drawing objectList = self.scene.getObjectList() i = 0 for o3dName in objectList: if o3dName == self.scene.name(): continue o3d = self.scene.getObject3DProxy(o3dName) cfg = {} cfg['common'] = o3d.getConfiguration()['common'] for key in ['pointsize', 'linewidth', 'transparency', 'mode']: if key in ['mode']: #drawing mode changed only if explicetly requested if rootEvent in ['DrawModeUpdated']: cfg['common'][key] = ddict['common'][key] else: cfg['common'][key] = ddict['common'][key] o3d.setConfiguration(cfg) sceneEventProcessed = True #self.scene[legend].root[0].setConfiguration(configDict) #self.selectedObjectControl.setConfiguration(configDict) if not sceneEventProcessed: if 'common' in ddict: if 'event' in ddict['common']: if ddict['common']['event'] == 'ColormapChanged': #print scene colormap changed newColormap = ddict['common']['colormap'] objectList = self.scene.getObjectList() i = 0 for o3dName in objectList: if o3dName == self.scene.name(): continue o3d = self.scene.getObject3DProxy(o3dName) cfg = {} cfg['common'] = o3d.getConfiguration()['common'] minCmap = cfg['common']['colormap'][4] maxCmap = cfg['common']['colormap'][5] if (i == 0) or (newColormap[4] > minCmap): newColormap[4] = minCmap if (i == 0) or (newColormap[5] > maxCmap): newColormap[5] = maxCmap i = 1 cfg['common']['colormap'][0:4] = newColormap[0:4] cfg['common']['colormap'][-1] = newColormap[-1] cfg['common']['event'] = ddict['common']['event'] o3d.setConfiguration(cfg) #this is to get the proper limits for the scene configDict['common']['colormap'] = newColormap del configDict['common']['event'] cfg = self.scene[legend].root[0].getConfiguration() cfg['common']['colormap'] = newColormap self.scene[legend].root[0].setConfiguration(cfg) self.selectedObjectControl.setConfiguration(cfg) if legend == self.scene.name() or self.scene.getAutoScale(): newScale = self.scene[legend].root[0].getConfiguration()['common']['scale'] if newScale != oldScale: #force cube calculation if self.scene.getAutoScale(): self.scene.getLimits() self.sceneControl.updateView() position=self.scene.applyCube() self.glWidget.setCurrentViewPosition(position, rotation_reset=False) return self.glWidget.cacheUpdateGL() def vertexSelectedSlot(self, ddict): self.infoLine.setText(ddict['info']) def setZoomFactor(self, value): if self.__applyingCube: return self.glWidget.setZoomFactor(pow(2, value)) self.wheelSlider12.label.setText("%.2f" % pow(2, value)) def normalizeAngle(self, angle): while angle < 0: angle += 360 angle = angle % 360 return angle def setPhi(self, value): if self.__applyingCube: return value = self.normalizeAngle(value) theta, phi = self.scene.getThetaPhi() if value != phi: self.scene.setThetaPhi(theta, value) self.glWidget.cacheUpdateGL() def setTheta(self, value): if self.__applyingCube: return value = self.normalizeAngle(value) theta, phi = self.scene.getThetaPhi() if value != theta: self.scene.setThetaPhi(value, phi) self.glWidget.cacheUpdateGL() def selectObject(self): if self.glWidget.objectSelectionMode(): self.glWidget.setObjectSelectionMode(False) else: self.glWidget.setObjectSelectionMode(True) def selectVertex(self): if self.glWidget.vertexSelectionMode(): self.glWidget.setVertexSelectionMode(False) else: self.glWidget.setVertexSelectionMode(True) def setAlpha(self, value): self.glWidget.setSelectedObjectAlpha(value/10.) #self.glWidget.updateGL() self.glWidget.setZoomFactor(self.glWidget.getZoomFactor()) def addObject(self, ob, legend = None, update_scene=True): self.sceneControl.scene.addObject(ob, legend) self.sceneControl.scene.getLimits() self.sceneControl.updateView() if self.activeObject in [None, 'None']: ndict = {} if 0: #the default is the scene ndict['legend'] = self.scene.name() else: #the default is the selected object ndict['legend'] = legend self.objectSelectedSlot(ndict, update_scene=update_scene) self.scene.setSelectedObject(self.activeObject) if update_scene: self.glWidget.setZoomFactor(self.glWidget.getZoomFactor()) def removeObject(self, legend, update_scene=True): if self.activeObject == legend: self.activeObject = None self.sceneControl.scene.removeObject(legend) self.sceneControl.scene.getLimits() self.sceneControl.updateView() if update_scene: self.glWidget.setZoomFactor(self.glWidget.getZoomFactor()) def clear(self, update_scene=True): self.activeObject = None self.sceneControl.scene.clearTree() self.sceneControl.scene.getLimits() self.sceneControl.updateView() if update_scene: self.glWidget.setZoomFactor(self.glWidget.getZoomFactor()) def closeEvent(self, event): objectList = self.scene.getObjectList() for object3D in objectList: if object3D == "Scene": continue self.scene.removeObject(object3D) self.manager.close() self.glWidget.close() # This is needed to force the destruction of the Object3D(s) del self.manager #del self.scene qt.QWidget.closeEvent(self, event) if __name__ == '__main__': import sys import Object3DBase app = qt.QApplication(sys.argv) window = SceneGLWindow() window.show() if 0: class MyObject(Object3DBase.Object3D): def drawObject(self): #GL.glShadeModel(GL.GL_FLAT) GL.glShadeModel(GL.GL_SMOOTH) #in order not to have just blue face GL.glBegin(GL.GL_TRIANGLE_STRIP) alpha = 1.0 - self._configuration['common']['transparency'] GL.glColor4f(1., 0., 0., alpha) # Red GL.glVertex3f(-25., 0., 0.) GL.glColor4f(0., 1., 0., alpha) # Green GL.glVertex3f(25., 0., 0.) GL.glColor4f(0., 0., 1., alpha) # Blue GL.glVertex3f(0, 25, 0.) GL.glEnd() ob3D1 = MyObject(name="Object1") ob3D1.setLimits(-25, 0.0, 0.0, 25, 25, 0.0) ob3D2 = MyObject(name="Object2") ob3D2.setLimits(-25, 0.0, 0.0, 25, 25, 0.0) #translate config = ob3D2.getConfiguration() config['common']['translation'] = [0.0, 0.0, 0.0] ob3D2.setConfiguration(config) window.setWindowTitle('Object3D Window') window.addObject(ob3D1, "Object1") window.addObject(ob3D2, "Object2") window.glWidget.setObjectSelectionMode(True) window.show() window.glWidget.setZoomFactor(1.0) sys.exit(app.exec_()) PyMca5-5.2.2/PyMca5/Object3D/SceneControl.py0000644000276300001750000001561713136054446020406 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from . import Object3DQt as qt from . import Scene from . import SceneWidget from . import SceneCoordinates from . import Object3DMovement from . import Object3DConfig from .HorizontalSpacer import HorizontalSpacer from .VerticalSpacer import VerticalSpacer DEBUG = 0 class SceneControl(qt.QWidget): sigSceneControlSignal = qt.pyqtSignal(object) def __init__(self, parent = None, scene = None): qt.QWidget.__init__(self, parent) self.setWindowTitle('Scene Control Widget') if scene is None: self.scene = Scene.Scene(name='Scene') else: self.scene = scene self.mainLayout = qt.QHBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(0) self.sceneWidget = SceneWidget.SceneWidget(self, scene=self.scene) self.selectedObjectControl = Object3DConfig.Object3DConfig(self) self.mainTab = self.selectedObjectControl.mainTab self.tabScene = qt.QWidget(self.mainTab) self.tabScene.mainLayout = qt.QGridLayout(self.tabScene) self.tabScene.mainLayout.setContentsMargins(0, 0, 0, 0) self.tabScene.mainLayout.setSpacing(0) self.coordinatesWidget = SceneCoordinates.SceneCoordinates(self.tabScene) self.coordinatesWidget.observerWidget.hide() #self.movementsWidget = Object3DMovement.Object3DMovement(self.tabScene) #self.movementsWidget.anchorWidget.hide() self.tabScene.mainLayout.addWidget(self.coordinatesWidget, 0, 0) #self.tabScene.mainLayout.addWidget(self.movementsWidget, 1, 0) vspacer = VerticalSpacer(self.tabScene) self.tabScene.mainLayout.addWidget(vspacer, 2, 0) self.mainTab.addTab(self.tabScene, "SCENE") self.mainLayout.addWidget(self.sceneWidget) self.mainLayout.addWidget(self.selectedObjectControl) configDict = self.scene[self.scene.name()].root[0].getConfiguration() self.selectedObjectControl.setConfiguration(configDict) self.sceneWidget.sigSceneWidgetSignal.connect(self._sceneWidgetSignal) self.coordinatesWidget.sigSceneCoordinatesSignal.connect(\ self._sceneCoordinatesSlot) return self.movementsWidget.sigObject3DMovementSignal.connect(\ self._movementsSlot) def _sceneWidgetSignal(self, ddict): self.emitSignal(ddict['event'], ddict) def _movementsSlot(self, ddict): self.emitSignal(ddict['event'], ddict) def _sceneCoordinatesSlot(self, ddict): event = ddict['event'] if event == 'SceneAxesVectorsChanged': self.scene.setAxesVectors(ddict['u'], ddict['v'], ddict['w'], use=ddict['uvw']) if 1: objectList = self.scene.tree.getList() xmin, ymin, zmin, xmax, ymax, zmax = self.scene.getLimits() self.scene.setAutoScale(ddict['autoscale']) if ddict['autoscale']: ddict['xmin'] = xmin ddict['ymin'] = ymin ddict['zmin'] = zmin ddict['xmax'] = xmax ddict['ymax'] = ymax ddict['zmax'] = zmax self.coordinatesWidget.setParameters(ddict) else: xmin = ddict['xmin'] ymin = ddict['ymin'] zmin = ddict['zmin'] xmax = ddict['xmax'] ymax = ddict['ymax'] zmax = ddict['zmax'] self.scene.setLimits([xmin, ymin, zmin, xmax, ymax, zmax]) if ddict['autolocate']: diagonal2 = pow((xmax - xmin), 2) + pow((ymax - ymin), 2) + pow((zmax - zmin), 2) position = [xmin + diagonal2, ymin + diagonal2, zmin + diagonal2] ddict['observer'] = position self.coordinatesWidget.setParameters(ddict) self.emitSignal(ddict['event'], ddict) def emitSignal(self, event=None, ddict = None): if DEBUG: print("SceneControl emit signal ", ddict) if ddict is None: ddict = {} if event is not None: ddict['event'] = event self.sigSceneControlSignal.emit(ddict) def updateView(self): self.sceneWidget.updateView() xmin, ymin, zmin, xmax, ymax, zmax = self.scene.getLimits() autoscale = self.scene.getAutoScale() ddict = {} ddict['autoscale'] = autoscale ddict['xmin'] = xmin ddict['ymin'] = ymin ddict['zmin'] = zmin ddict['xmax'] = xmax ddict['ymax'] = ymax ddict['zmax'] = zmax self.coordinatesWidget.setParameters(ddict) if __name__ == "__main__": import Object3DBase app = qt.QApplication([]) w = SceneControl() def slot(ddict): print(" ddict = ", ddict) objectList = w.scene.tree.getList() selected = [] for item in objectList: if hasattr(item, 'name'): if hasattr(item, 'selected'): if item.selected(): selected.append(item.name()) print(selected) app.lastWindowClosed.connect(app.quit) w.sigSceneControlSignal.connect(slot) o0 = Object3DBase.Object3D("DummyObject0") o0.setLimits(-100, -200, -300, 100, 200, 300) o1 = Object3DBase.Object3D("DummyObject1") o01 = Object3DBase.Object3D("DummyObject01") w.scene.addObject(o0) w.scene.addObject(o1) w.scene.addObject(o01) w.show() w.updateView() app.exec_() PyMca5-5.2.2/PyMca5/Object3D/SceneTree.py0000644000276300001750000003410313136054446017654 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import weakref from . import Object3DQt as qt from .Object3DIcons import IconDict from . import ObjectTree DEBUG = 0 class ObjectTreeWidget(qt.QTreeWidget): def __init__(self, parent=None, tree=None, labels=None): qt.QTreeWidget.__init__(self, parent) if labels is None: labels = ['Name', 'Type'] #, 'Vertices'] if tree is None: self.tree = ObjectTree.ObjectTree('__Scene__', 'Scene') else: self.tree = tree ncols = len(labels) self.setColumnCount(ncols) self.setHeaderLabels(labels) def focusInEvent(self, event): event.accept() def addObject(self, item, name=None, parent=None, update=True): if name is None: name = item.name() if parent is None: self.tree.addChild(item, name) else: self[parent].addChild(item, name) if update: self.updateView() def removeObject(self, name): #An object has to correspond to an entry in the tree treeObject = self.tree.find(name) if treeObject is None: # do nothing? return treeObject.erase() self.updateView() def updateView(self): self.clear() self.showInView(self.tree) def showInView(self, tree, parent=None): """ Represent a tree in the QTreeWidget """ if parent is None: widgetItem = Object3DTreeWidgetItem(0, tree) self.addTopLevelItem(widgetItem) else: #find the parent item itemList = self.findItems(parent.name(), qt.Qt.MatchExactly|qt.Qt.MatchCaseSensitive|qt.Qt.MatchRecursive, 0) if len(itemList): widgetItemParent = itemList[0] widgetItem = Object3DTreeWidgetItem(1, tree) widgetItemParent.addChild(widgetItem) else: return ob = tree.root[0] if hasattr(ob,'selected'): if ob.selected(): widgetItem.setSelected(True) self.scrollToItem(widgetItem, qt.QAbstractItemView.EnsureVisible) for subTree in tree.childList(): self.showInView(subTree, tree.parent(subTree.name())) def setSelected(self, name): itemList = self.findItems(name, qt.Qt.MatchExactly|qt.Qt.MatchCaseSensitive|qt.Qt.MatchRecursive, 0) if len(itemList): itemList[0].setSelected(True) class Object3DTreeWidgetItem(qt.QTreeWidgetItem): def __init__(self, wtype, object3D): if type(wtype) != type(1): raise TypeError("First argument must be an integer") #if (wtype != 0) and (wtype < qt.QTreeWidgetItem.UserType): # raise TypeError("First argument must be 0 or an integer >= 1000") actualType = wtype qt.QTreeWidgetItem.__init__(self, wtype + qt.QTreeWidgetItem.UserType) self.__object3D = object3D self.setText(0, object3D.name()) if wtype == 0: text = "Scene" else: text = "3D Object" self.setText(1, text) class Object3DObjectTree(qt.QGroupBox): sigObjectTreeSignal = qt.pyqtSignal(object) def __init__(self, parent = None, tree=None): qt.QGroupBox.__init__(self, parent) self.setTitle('Objects Tree') self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.treeWidget = ObjectTreeWidget(self, tree=tree) self.tree = weakref.proxy(self.treeWidget.tree) self.actions = ObjectActions(self) self.mainLayout.addWidget(self.treeWidget) self.mainLayout.addWidget(self.actions) self.addObject = self.treeWidget.addObject self.__current = 'Scene' self.__previous= None self.__cutObject = None self.__replacing = False self.actions.cutButton.clicked.connect(self.cutObject) self.actions.pasteButton.clicked.connect(self.pasteObject) self.actions.deleteButton.clicked.connect(self.deleteObject) self.actions.replaceButton.clicked.connect(self.replaceWithObject) self.treeWidget.currentItemChanged.connect(self.itemChanged) def updateView(self, expand=False): self.treeWidget.updateView() if expand: if qt.qVersion() >= '4.2.0': self.treeWidget.expandAll() objectList = self.getSelectedObjectList() if len(objectList): self.__current = objectList[0] def getSelectedObjectList(self): selected = [] for item in self.tree.childList(): ob = item.root[0] if hasattr(ob, 'selected'): if ob.selected(): selected.append(item.name()) return selected def setSelectedObject(self, name=None): if name is None: name = self.__current else: self.__current = name #reset all the children for item in self.tree.childList(): ob = item.root[0] if hasattr(ob, 'selected'): ob.setSelected(False) #but do not forget the scene itself if hasattr(self.tree.root[0], "setSelected"): self.tree.root[0].setSelected(False) #now select the proper one if self.tree.name() == name: self.tree.root[0].setSelected(True) else: child = self.tree.find(name) if child is not None: ob = child.root[0] if hasattr(ob, 'selected'): ob.setSelected(True) self.treeWidget.setSelected(child.name()) def cutObject(self): if self.__current == 'Scene': self.__cutObject = None qt.QMessageBox.critical(self, "Error on cut", "You cannot cut the Scene itself.", qt.QMessageBox.Ok | qt.QMessageBox.Default, qt.QMessageBox.NoButton) elif self.__current is None: qt.QMessageBox.critical(self, "Error on cut", "Please select an object.", qt.QMessageBox.Ok | qt.QMessageBox.Default, qt.QMessageBox.NoButton) else: self.__cutObject = self.__current def pasteObject(self): if self.__cutObject is None: qt.QMessageBox.critical(self, "Error on paste", "Please cut an object first.", qt.QMessageBox.Ok | qt.QMessageBox.Default, qt.QMessageBox.NoButton) return if self.__cutObject == self.__current: #do nothing if DEBUG: print("Doing nothing") self.__cutObject = None self.treeWidget.resizeColumnToContents(0) return child = self.tree.find(self.__cutObject) self.tree.delChild(self.__cutObject) destination = self.tree.find(self.__current) destination.addChildTree(child) if DEBUG: print("TREE after addition = ", self.tree) self.updateView() if 1: #this works itemList = self.treeWidget.findItems(self.__cutObject, qt.Qt.MatchExactly|qt.Qt.MatchCaseSensitive|qt.Qt.MatchRecursive, 0) if len(itemList): self.treeWidget.scrollToItem(itemList[0], qt.QAbstractItemView.EnsureVisible) else: if DEBUG: print("Is this a problem?") else: #this too name = self.__cutObject while name != 'Scene': name = self.tree.parent(name).name() itemList = self.treeWidget.findItems(name, qt.Qt.MatchExactly|qt.Qt.MatchCaseSensitive|qt.Qt.MatchRecursive, 0) if len(itemList): self.treeWidget.expandItem(itemList[0]) else: if DEBUG: print("Is this a problem?") break self.treeWidget.resizeColumnToContents(0) self.__cutObject = None self.emitSignal('treeChanged') def deleteObject(self): if self.__current == 'Scene': qt.QMessageBox.critical(self, "Error on deletion", "You cannot delete the Scene itself.", qt.QMessageBox.Ok | qt.QMessageBox.Default, qt.QMessageBox.NoButton) self.tree.delChild(self.__current) self.__previous = str(self.__current) self.setSelectedObject(self.tree.name()) self.emitSignal('objectDeleted') self.updateView() def replaceWithObject(self): if self.__current in [None, 'None']: return self.__replacing = True if self.__current == 'Scene': itemList = self.tree.childList() for item in itemList: self.tree.delChild(item.name()) self.updateView() self.__cutObject = self.__current * 1 else: self.__cutObject = self.__current * 1 self.__current = 'Scene' child = self.tree.find(self.__cutObject) self.tree.delChild(self.__cutObject) itemList = self.tree.childList() for item in itemList: self.tree.delChild(item.name()) self.tree.addChildTree(child) self.updateView() itemList = self.treeWidget.findItems(self.__cutObject, qt.Qt.MatchExactly|qt.Qt.MatchCaseSensitive|qt.Qt.MatchRecursive, 0) if len(itemList): self.treeWidget.scrollToItem(itemList[0], qt.QAbstractItemView.EnsureVisible) self.treeWidget.resizeColumnToContents(0) self.__current = self.__cutObject * 1 self.__cutObject = None self.__replacing = False self.emitSignal('objectReplaced') def itemChanged(self, current, previous): if current is None: #This happens when updating because I clear the tree return #This was giving a lot of problems: self.__current = 'Scene' else: self.__current = current.text(0) if previous is None: self.__previous = None else: self.__previous = previous.text(0) if DEBUG: print("current = ", self.__current) print("previous = ", self.__previous) if self.__current != self.__previous: self.setSelectedObject(str(self.__current)) self.emitSignal('objectSelected') def emitSignal(self, event): if self.__replacing: if DEBUG: print("EVENT = ", event, "NOT SENT") ddict = {} ddict['event'] = event ddict['current'] = str(self.__current) ddict['previous'] = str(self.__previous) self.sigObjectTreeSignal.emit(ddict) class ObjectActions(qt.QGroupBox): def __init__(self, parent = None): qt.QGroupBox.__init__(self, parent) self.setTitle('Object Actions') self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setSpacing(0) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.cutButtonIcon = qt.QIcon(qt.QPixmap(IconDict['cut'])) self.cutButton = qt.QPushButton(self) self.cutButton.setIcon(self.cutButtonIcon) self.cutButton.setText('Cut') self.pasteButtonIcon = qt.QIcon(qt.QPixmap(IconDict['paste'])) self.pasteButton = qt.QPushButton(self) self.pasteButton.setIcon(self.pasteButtonIcon) self.pasteButton.setText('Paste') self.deleteButtonIcon = qt.QIcon(qt.QPixmap(IconDict['delete'])) self.deleteButton = qt.QPushButton(self) self.deleteButton.setIcon(self.deleteButtonIcon) self.deleteButton.setText('Delete') self.replaceButton = qt.QPushButton(self) self.replaceButton.setText('Replace') self.mainLayout.addWidget(self.cutButton) self.mainLayout.addWidget(self.pasteButton) self.mainLayout.addWidget(self.deleteButton) self.mainLayout.addWidget(self.replaceButton) if __name__ == "__main__": import Object3DBase app = qt.QApplication([]) app.lastWindowClosed.connect(app.quit) o0 = Object3DBase.Object3D("DummyObject0") o1 = Object3DBase.Object3D("DummyObject1") o01 = Object3DBase.Object3D("DummyObject01") w = Object3DObjectTree() w.addObject(o0, update=False) w.addObject(o1, update=False) w.addObject(o01, update=True) tree = w.tree.find("DummyObject0") w.tree.delChild("DummyObject01") tree.addChild(o01) w.updateView() w.show() app.exec_() PyMca5-5.2.2/PyMca5/Object3D/setup.py0000644000276300001750000002237413136054446017146 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys,os import glob import platform from distutils.core import Extension, setup try: import numpy except ImportError: text = "You must have numpy installed.\n" text += "See http://sourceforge.net/project/showfiles.php?group_id=1369&package_id=175103\n" raise ImportError(text) import distutils.sysconfig global OBJECT3D_INSTALL_DIR global OBJECT3D_SCRIPTS_DIR import string __version__ = '1.0' for line in file('SceneGLWindow.py').readlines(): if line[:11] == '__version__': exec(line) # Append cvs tag if working from cvs tree if os.path.isdir('.svn') and os.path.isfile(os.sep.join(['.svn', 'entries'])): import re revision = 0 revre = re.compile('committed-rev="(\d+)"') for match in revre.finditer(open(os.sep.join(['.svn', 'entries'])).read()): revision = max(revision, int(match.group(1))) __version__ += 'dev_r%i' % revision break print("Object3D Toolkit %s" % __version__) print() print("Type 'L' to view the license.") print("Type 'yes' to accept the terms of the license.") print("Type 'no' to decline the terms of the license.") print() while 1: try: resp = raw_input("Do you accept the terms of the license? ") except KeyboardInterrupt: raise SystemExit except: resp = "" resp = string.lower(string.strip(resp)) if resp == "yes": break if resp == "no": sys.exit(1) if resp == "l": os.system("more LICENSE.LGPL") # Specify all the required Object3D data data_files = [('Object3D', ['LICENSE.LGPL',])] packages = ['Object3D'] package_dir = {'Object3D':os.path.dirname(__file__)} """ #py_modules = [] py_modules = [] for python_file in glob.glob('*.py'): if python_file not in ['setup.py', 'cx_setup.py']: continue m = "Object3D.%s" % (os.path.basename(python_file)[:-3]) py_modules.append(m) """ py_modules = [] for python_file in glob.glob('Object3DPlugins/*.py'): m = "Object3D.Object3DPlugins.%s" % (os.path.basename(python_file)[:-3]) py_modules.append(m) sources = glob.glob('*.c') if sys.platform == "win32": libraries = ['opengl32', 'glu32'] define_macros = [('WIN32',None)] script_files = [] script_files.append('scripts/object3d_win_post_install.py') else: libraries = ['GL', 'GLU'] if sys.platform == 'darwin': libraries=[] define_macros = [] script_files = [] for f in glob.glob('scripts/*'): if f.endswith('.py'): continue script_files.append(f) def build_Object3DCTools(ext_modules): includes = [numpy.get_include()] if sys.platform == 'windows': WindowsSDK = os.getenv('WindowsSdkDir') #if WindowsSDK is not None: # includes.append(WindowsSDK) module = Extension(name = 'Object3D.Object3DCTools', sources = glob.glob('Object3DCTools/*.c'), define_macros = define_macros, libraries = libraries, include_dirs = includes) ext_modules.append(module) def build_Object3DQhull(ext_modules): module = Extension(name = 'Object3D.Object3DQhull', sources = glob.glob('Object3DQhull/src/*.c'), define_macros = define_macros, include_dirs = [numpy.get_include()]) ext_modules.append(module) ext_modules = [] build_Object3DCTools(ext_modules) build_Object3DQhull(ext_modules) # data_files fix from http://wiki.python.org/moin/DistutilsInstallDataScattered from distutils.command.install_data import install_data class smart_install_data(install_data): def run(self): global OBJECT3D_INSTALL_DIR #need to change self.install_dir to the library dir install_cmd = self.get_finalized_command('install') self.install_dir = getattr(install_cmd, 'install_lib') OBJECT3D_INSTALL_DIR = self.install_dir print("Object3D to be installed in %s" % self.install_dir) return install_data.run(self) from distutils.command.install_scripts import install_scripts class smart_install_scripts(install_scripts): def run (self): global OBJECT3D_SCRIPTS_DIR #I prefer not to translate the python used during the build #process for the case of having an installation on a disk shared #by different machines and starting python from a shell script #that positions the environment from distutils import log from stat import ST_MODE install_cmd = self.get_finalized_command('install') #This is to ignore the --install-scripts keyword #I do not know if to leave it optional ... if False: self.install_dir = os.path.join(getattr(install_cmd, 'install_lib'), 'Object3D') self.install_dir = os.path.join(self.install_dir, 'bin') else: self.install_dir = getattr(install_cmd, 'install_scripts') OBJECT3D_SCRIPTS_DIR = self.install_dir if sys.platform != "win32": print("Object3D scripts to be installed in %s" % self.install_dir) self.outfiles = self.copy_tree(self.build_dir, self.install_dir) self.outfiles = [] for filein in glob.glob('scripts/*'): filedest = os.path.join(self.install_dir, os.path.basename(filein)) if os.path.exists(filedest): os.remove(filedest) moddir = os.path.join(getattr(install_cmd,'install_lib'), "Object3D") f = open(filein, 'r') modfile = f.readline().replace("\n","") f.close() text = "#!/bin/bash\n" text += "export PYTHONPATH=%s:${PYTHONPATH}\n" % moddir text += "exec python %s $*\n" % os.path.join(moddir, modfile) f=open(filedest, 'w') f.write(text) f.close() #self.copy_file(filein, filedest) self.outfiles.append(filedest) if os.name == 'posix': # Set the executable bits (owner, group, and world) on # all the scripts we just installed. for ffile in self.get_outputs(): if self.dry_run: log.info("changing mode of %s", ffile) else: mode = ((os.stat(ffile)[ST_MODE]) | 365) & 4095 log.info("changing mode of %s to %o", ffile, mode) os.chmod(ffile, mode) description = "LGPL License unless a commercial license is bought. Please contact industry@esrf.fr if needed." long_description = """Stand-alone python application and tools for multidimensional data visualization""" distrib = setup(name="Object3D", version= __version__, description = description, author = "V. Armando Sole", author_email="sole@esrf.fr", license= "LGPL2+ - Please read LICENSE.LGPL for details", url = "http://pymca.sourceforge.net", long_description = long_description, packages = packages, package_dir=package_dir, platforms='any', ext_modules = ext_modules, data_files = data_files, cmdclass = {'install_data':smart_install_data, 'install_scripts':smart_install_scripts}, scripts=script_files, py_modules=py_modules, ) #cleanup files for fname in ['setup.py', 'cx_setup.py']: file_to_remove = os.path.join(OBJECT3D_INSTALL_DIR, 'Object3D',fname) if os.path.exists(file_to_remove): os.remove(file_to_remove) if os.path.exists(file_to_remove+'c'): os.remove(file_to_remove+'c') if os.path.exists(file_to_remove+'o'): os.remove(file_to_remove+'o') badtext = "No valid PyQt4 and PyOpenGL installation found.\n" try: print("Object3D is installed in %s " % OBJECT3D_INSTALL_DIR) except NameError: #I really do not see how this may happen but ... pass PyMca5-5.2.2/PyMca5/Object3D/HorizontalSpacer.py0000644000276300001750000000310413136054446021263 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from . import Object3DQt as qt class HorizontalSpacer(qt.QWidget): def __init__(self, *args): qt.QWidget.__init__(self, *args) self.setSizePolicy(qt.QSizePolicy(qt.QSizePolicy.Expanding, qt.QSizePolicy.Fixed)) PyMca5-5.2.2/PyMca5/Object3D/Object3DQhull/0000755000276300001750000000000013205526235020024 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/Object3D/Object3DQhull/setup.py0000644000276300001750000001333213136054446021543 0ustar solebliss00000000000000#!/usr/bin/env python # /*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ __author__ = "V.A. Sole, T. Vincent - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" """Setup script for the Object3DQhull module distribution.""" import glob import os import numpy from distutils.extension import Extension from distutils.core import setup # TODO For '../../../third-party/qhull/src/*.c' # *.o are stored outside build/ when building locally def qhull_ext_modules(parent_name=None, package_path=None, use_cython=True): """Build list of Qhull wrapper Extensions. :param str parent_name: Name of parent module (or None). :param str package_path: Directory where the source of the module are. :param bool use_cython: Whether to use Cython or C source files. :return: List of py_modules and List of Extensions to build as a tuple. """ # Only try to import from Cython when used if use_cython: from Cython.Build import cythonize name_prefix = '' if parent_name is None else (parent_name + '.') if package_path is None: path_prefix = '' else: path_prefix = package_path.strip('/') + '/' sources = [] include_dirs = [path_prefix + '_qhull', numpy.get_include()] extra_compile_args = [] extra_link_args = [] ext_modules = [] QHULL_CFLAGS = os.getenv("QHULL_CFLAGS") QHULL_LIBS = os.getenv("QHULL_LIBS") use_system_qhull = QHULL_CFLAGS and QHULL_LIBS if use_system_qhull: # Use user provided system qhull library extra_compile_args += [QHULL_CFLAGS] extra_link_args += [QHULL_LIBS] # WARNING: MUST be sync with qhull/user.h qhull64_macros = {'REALfloat': 0, 'qh_QHpointer': 1} # As in debian 7 qhull32_macros = None # cython .c files need to be regenerated during build cythonize_force = True assert use_cython else: # Compile qhull sources += glob.glob(path_prefix + '../../../third-party/qhull/src/*.c') include_dirs += [path_prefix + '../../../third-party/qhull/src'] qhull64_macros = {'REALfloat': 0, 'qh_QHpointer': 0} qhull32_macros = {'REALfloat': 1, 'qh_QHpointer': 0} cythonize_force = False if qhull32_macros is not None: # qhull for float32 qhull32_sources = sources + [ path_prefix + '_qhull/_qhull32' + ('.pyx' if use_cython else '.c')] qhull32_ext = Extension(name=name_prefix + '_qhull32', sources=qhull32_sources, define_macros=list(qhull32_macros.items()), include_dirs=include_dirs, extra_compile_args=extra_compile_args, extra_link_args=extra_link_args, language='c') if use_cython: qhull32_ext = cythonize([qhull32_ext], force=cythonize_force, compile_time_env=qhull32_macros)[0] ext_modules.append(qhull32_ext) if qhull64_macros is not None: # qhull for float64 qhull64_sources = sources + [ path_prefix + '_qhull/_qhull64' + ('.pyx' if use_cython else '.c')] qhull64_ext = Extension(name=name_prefix + '_qhull64', sources=qhull64_sources, define_macros=list(qhull64_macros.items()), include_dirs=include_dirs, extra_compile_args=extra_compile_args, extra_link_args=extra_link_args, language='c') if use_cython: qhull64_ext = cythonize([qhull64_ext], force=cythonize_force, compile_time_env=qhull64_macros)[0] ext_modules.append(qhull64_ext) # py_modules py_modules = [name_prefix + '__init__'] return py_modules, ext_modules # Only build C extensions setup(name="Object3DQhull", version="1.0", description="Interface to Qhull library.", author="V.A. Sole - Software Group", author_email="sole@esrf.fr", url="http://www.esrf.fr", ext_modules=qhull_ext_modules()[1], ) PyMca5-5.2.2/PyMca5/Object3D/Object3DQhull/__init__.py0000644000276300001750000000703213136054446022142 0ustar solebliss00000000000000# /*######################################################################### # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ from __future__ import absolute_import, division, print_function, \ unicode_literals __author__ = "T. Vincent - ESRF Data Analysis" __contact__ = "thomas.vincent@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """Qhull library wrapper for Delaunay triangulation. See http://www.qhull.org/. Supports float32 and float64 formats depending on the Qhull library used. """ import numpy import warnings from . import _qhull64 try: from . import _qhull32 except ImportError: _qhull32 = None __version__ = _qhull64.__version__ """Version of the Qhull library.""" def delaunay(points, options=None, dtype=numpy.float64): """Delaunay triangulation using qhull library. :param points: Array-like set of points to triangulate. Array must be of dimension 2 and of type float32 or float64. :param options: Options of the 'qhull d' command to run or None (the default) for default flags. See http://www.qhull.org/ for details. :type options: iterable of str. :param numpy.dtype dtype: The data type to use for computation. numpy.float32 or numpy.float64 or None. :returns: Indices of corners of simplex facets. :rtype: numpy.ndarray of uint32 of shape (nbFacets, (points dim + 1)). """ assert dtype in (None, numpy.float32, numpy.float64) if _qhull32 is None: # Force dtype if qhull float32 is not available if dtype == numpy.float32: warnings.warn('Qhull for float32 not available', RuntimeWarning) dtype = numpy.float64 points = numpy.array(points, dtype=dtype, order='C', copy=False) if options is None: options = ['Qbb', 'QJ', 'Qc'] if points.dtype == numpy.float32: options.append('Po') command = 'qhull d ' + ' '.join(options) if points.dtype == numpy.float32: return _qhull32.delaunay(points, command) elif points.dtype == numpy.float64: return _qhull64.delaunay(points, command) else: raise ValueError('Unsupported array dtype %s' % points.dtype) PyMca5-5.2.2/PyMca5/Object3D/Object3DQhull/_qhull/0000755000276300001750000000000013205526235021310 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi0000644000276300001750000001342613136054446023170 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ import cython import numpy cimport numpy import threading cimport qhull as _qhull # From numpy_common.pxi to avoid warnings while compiling C code # See this thread: # https://mail.python.org/pipermail//cython-devel/2012-March/002137.html cdef extern from *: bint FALSE "0" void import_array() void import_umath() if FALSE: import_array() import_umath() # Version string __version__ = _qhull.qh_version _errors = { _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), _qhull.qh_ERRqhull: RuntimeError('qhull internal error'), } cdef unsigned int nbDelaunayFacets(): # Corresponding C code: # unsigned int get_num_delaunay_facets(void) { # unsigned int nbFacets = 0; # facetT * facet; # FORALLfacets { # if (!(facet->upperdelaunay)) { # nbFacets++; # } # } # return nbFacets; # } cdef _qhull.facetT * facet cdef unsigned int nbFacets = 0 # FORALLfacets facet = _qhull.qh_qh.facet_list while facet != NULL and facet.next != NULL: if not facet.upperdelaunay: nbFacets += 1 facet = facet.next return nbFacets @cython.boundscheck(False) @cython.wraparound(False) cdef void setDelaunayIndices(unsigned int[:] c_indices): # Corresponding C code # void set_delaunay_indices(unsigned int * indices) { # facetT * facet; # vertexT * vertex, **vertexp; # FORALLfacets { # if (!facet->upperdelaunay) { # FOREACHvertex_(facet->vertices) { # *(indices++) = qh_pointid(vertex->point); # } # } # } # } cdef _qhull.facetT * facet cdef _qhull.vertexT * vertex cdef unsigned int indicesIndex = 0 cdef unsigned int setIndex # FORALLfacets facet = _qhull.qh_qh.facet_list while facet != NULL and facet.next != NULL: if not facet.upperdelaunay: # FOREACHvertex_ if facet.vertices != NULL: for setIndex in range(facet.vertices.maxsize): vertex = <_qhull.vertexT *>(facet.vertices.e[setIndex].p) if vertex == NULL: break c_indices[indicesIndex] = _qhull.qh_pointid(vertex.point) indicesIndex += 1 facet = facet.next # Avoid concurrent use of the qhull library _qhull_lock = threading.Lock() @cython.boundscheck(False) @cython.wraparound(False) def delaunay(numpy.ndarray[_qhull.realT, ndim=2, mode='c'] points, command): """Delaunay triangulation using qhull library. :param points: numpy.ndarray of points to triangulate. Array must be of dimension 2. The second dimension being the dimension of the space. :param str command: 'qhull d' command to run :returns: Index of simplex facets corners. :rtype: numpy.ndarray of uint32 of dimension: nbFacets x (points dim + 1). """ cdef int dimension = points.shape[1] cdef _qhull.coordT[:] c_points = numpy.ravel(points) cdef char * c_command = command #_qhull_lock.acquire() cdef int result = _qhull.qh_new_qhull(dimension, len(points), &c_points[0], False, &c_command[0], NULL, _qhull.stderr) if result != _qhull.qh_ERRnone: _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources #_qhull_lock.release() raise _errors[result] # Get number of facets cdef unsigned int nbFacets = nbDelaunayFacets() if nbFacets == 0: _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources #_qhull_lock.release() return numpy.array((), dtype=numpy.uint32) # Get facets' indices indices = numpy.empty((nbFacets, dimension + 1), dtype=numpy.uint32) cdef unsigned int[:] c_indices = indices.ravel() setDelaunayIndices(c_indices) # Free qhull resources _qhull.qh_freeqhull(_qhull.qh_ALL) #_qhull_lock.release() return indices PyMca5-5.2.2/PyMca5/Object3D/Object3DQhull/_qhull/_qhull32.c0000644000276300001750000265271413136054446023131 0ustar solebliss00000000000000/* Generated by Cython 0.19.1 on Wed Jul 29 15:48:38 2015 */ #define PY_SSIZE_T_CLEAN #ifndef CYTHON_USE_PYLONG_INTERNALS #ifdef PYLONG_BITS_IN_DIGIT #define CYTHON_USE_PYLONG_INTERNALS 0 #else #include "pyconfig.h" #ifdef PYLONG_BITS_IN_DIGIT #define CYTHON_USE_PYLONG_INTERNALS 1 #else #define CYTHON_USE_PYLONG_INTERNALS 0 #endif #endif #endif #include "Python.h" #ifndef Py_PYTHON_H #error Python headers needed to compile C extensions, please install development version of Python. #elif PY_VERSION_HEX < 0x02040000 #error Cython requires Python 2.4+. #else #include /* For offsetof */ #ifndef offsetof #define offsetof(type, member) ( (size_t) & ((type*)0) -> member ) #endif #if !defined(WIN32) && !defined(MS_WINDOWS) #ifndef __stdcall #define __stdcall #endif #ifndef __cdecl #define __cdecl #endif #ifndef __fastcall #define __fastcall #endif #endif #ifndef DL_IMPORT #define DL_IMPORT(t) t #endif #ifndef DL_EXPORT #define DL_EXPORT(t) t #endif #ifndef PY_LONG_LONG #define PY_LONG_LONG LONG_LONG #endif #ifndef Py_HUGE_VAL #define Py_HUGE_VAL HUGE_VAL #endif #ifdef PYPY_VERSION #define CYTHON_COMPILING_IN_PYPY 1 #define CYTHON_COMPILING_IN_CPYTHON 0 #else #define CYTHON_COMPILING_IN_PYPY 0 #define CYTHON_COMPILING_IN_CPYTHON 1 #endif #if PY_VERSION_HEX < 0x02050000 typedef int Py_ssize_t; #define PY_SSIZE_T_MAX INT_MAX #define PY_SSIZE_T_MIN INT_MIN #define PY_FORMAT_SIZE_T "" #define CYTHON_FORMAT_SSIZE_T "" #define PyInt_FromSsize_t(z) PyInt_FromLong(z) #define PyInt_AsSsize_t(o) __Pyx_PyInt_AsInt(o) #define PyNumber_Index(o) ((PyNumber_Check(o) && !PyFloat_Check(o)) ? PyNumber_Int(o) : \ (PyErr_Format(PyExc_TypeError, \ "expected index value, got %.200s", Py_TYPE(o)->tp_name), \ (PyObject*)0)) #define __Pyx_PyIndex_Check(o) (PyNumber_Check(o) && !PyFloat_Check(o) && \ !PyComplex_Check(o)) #define PyIndex_Check __Pyx_PyIndex_Check #define PyErr_WarnEx(category, message, stacklevel) PyErr_Warn(category, message) #define __PYX_BUILD_PY_SSIZE_T "i" #else #define __PYX_BUILD_PY_SSIZE_T "n" #define CYTHON_FORMAT_SSIZE_T "z" #define __Pyx_PyIndex_Check PyIndex_Check #endif #if PY_VERSION_HEX < 0x02060000 #define Py_REFCNT(ob) (((PyObject*)(ob))->ob_refcnt) #define Py_TYPE(ob) (((PyObject*)(ob))->ob_type) #define Py_SIZE(ob) (((PyVarObject*)(ob))->ob_size) #define PyVarObject_HEAD_INIT(type, size) \ PyObject_HEAD_INIT(type) size, #define PyType_Modified(t) typedef struct { void *buf; PyObject *obj; Py_ssize_t len; Py_ssize_t itemsize; int readonly; int ndim; char *format; Py_ssize_t *shape; Py_ssize_t *strides; Py_ssize_t *suboffsets; void *internal; } Py_buffer; #define PyBUF_SIMPLE 0 #define PyBUF_WRITABLE 0x0001 #define PyBUF_FORMAT 0x0004 #define PyBUF_ND 0x0008 #define PyBUF_STRIDES (0x0010 | PyBUF_ND) #define PyBUF_C_CONTIGUOUS (0x0020 | PyBUF_STRIDES) #define PyBUF_F_CONTIGUOUS (0x0040 | PyBUF_STRIDES) #define PyBUF_ANY_CONTIGUOUS (0x0080 | PyBUF_STRIDES) #define PyBUF_INDIRECT (0x0100 | PyBUF_STRIDES) #define PyBUF_RECORDS (PyBUF_STRIDES | PyBUF_FORMAT | PyBUF_WRITABLE) #define PyBUF_FULL (PyBUF_INDIRECT | PyBUF_FORMAT | PyBUF_WRITABLE) typedef int (*getbufferproc)(PyObject *, Py_buffer *, int); typedef void (*releasebufferproc)(PyObject *, Py_buffer *); #endif #if PY_MAJOR_VERSION < 3 #define __Pyx_BUILTIN_MODULE_NAME "__builtin__" #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) \ PyCode_New(a, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) #else #define __Pyx_BUILTIN_MODULE_NAME "builtins" #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) \ PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) #endif #if PY_MAJOR_VERSION < 3 && PY_MINOR_VERSION < 6 #define PyUnicode_FromString(s) PyUnicode_Decode(s, strlen(s), "UTF-8", "strict") #endif #if PY_MAJOR_VERSION >= 3 #define Py_TPFLAGS_CHECKTYPES 0 #define Py_TPFLAGS_HAVE_INDEX 0 #endif #if (PY_VERSION_HEX < 0x02060000) || (PY_MAJOR_VERSION >= 3) #define Py_TPFLAGS_HAVE_NEWBUFFER 0 #endif #if PY_VERSION_HEX < 0x02060000 #define Py_TPFLAGS_HAVE_VERSION_TAG 0 #endif #if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND) #define CYTHON_PEP393_ENABLED 1 #define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ? \ 0 : _PyUnicode_Ready((PyObject *)(op))) #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u) #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i) #define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i) #else #define CYTHON_PEP393_ENABLED 0 #define __Pyx_PyUnicode_READY(op) (0) #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u) #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i])) #define __Pyx_PyUnicode_READ(k, d, i) ((k=k), (Py_UCS4)(((Py_UNICODE*)d)[i])) #endif #if PY_MAJOR_VERSION >= 3 #define PyBaseString_Type PyUnicode_Type #define PyStringObject PyUnicodeObject #define PyString_Type PyUnicode_Type #define PyString_Check PyUnicode_Check #define PyString_CheckExact PyUnicode_CheckExact #endif #if PY_VERSION_HEX < 0x02060000 #define PyBytesObject PyStringObject #define PyBytes_Type PyString_Type #define PyBytes_Check PyString_Check #define PyBytes_CheckExact PyString_CheckExact #define PyBytes_FromString PyString_FromString #define PyBytes_FromStringAndSize PyString_FromStringAndSize #define PyBytes_FromFormat PyString_FromFormat #define PyBytes_DecodeEscape PyString_DecodeEscape #define PyBytes_AsString PyString_AsString #define PyBytes_AsStringAndSize PyString_AsStringAndSize #define PyBytes_Size PyString_Size #define PyBytes_AS_STRING PyString_AS_STRING #define PyBytes_GET_SIZE PyString_GET_SIZE #define PyBytes_Repr PyString_Repr #define PyBytes_Concat PyString_Concat #define PyBytes_ConcatAndDel PyString_ConcatAndDel #endif #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj) #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj) #else #define __Pyx_PyBaseString_Check(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj) || \ PyString_Check(obj) || PyUnicode_Check(obj)) #define __Pyx_PyBaseString_CheckExact(obj) (Py_TYPE(obj) == &PyBaseString_Type) #endif #if PY_VERSION_HEX < 0x02060000 #define PySet_Check(obj) PyObject_TypeCheck(obj, &PySet_Type) #define PyFrozenSet_Check(obj) PyObject_TypeCheck(obj, &PyFrozenSet_Type) #endif #ifndef PySet_CheckExact #define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type) #endif #define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) #if PY_MAJOR_VERSION >= 3 #define PyIntObject PyLongObject #define PyInt_Type PyLong_Type #define PyInt_Check(op) PyLong_Check(op) #define PyInt_CheckExact(op) PyLong_CheckExact(op) #define PyInt_FromString PyLong_FromString #define PyInt_FromUnicode PyLong_FromUnicode #define PyInt_FromLong PyLong_FromLong #define PyInt_FromSize_t PyLong_FromSize_t #define PyInt_FromSsize_t PyLong_FromSsize_t #define PyInt_AsLong PyLong_AsLong #define PyInt_AS_LONG PyLong_AS_LONG #define PyInt_AsSsize_t PyLong_AsSsize_t #define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask #endif #if PY_MAJOR_VERSION >= 3 #define PyBoolObject PyLongObject #endif #if PY_VERSION_HEX < 0x03020000 typedef long Py_hash_t; #define __Pyx_PyInt_FromHash_t PyInt_FromLong #define __Pyx_PyInt_AsHash_t PyInt_AsLong #else #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t #define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t #endif #if (PY_MAJOR_VERSION < 3) || (PY_VERSION_HEX >= 0x03010300) #define __Pyx_PySequence_GetSlice(obj, a, b) PySequence_GetSlice(obj, a, b) #define __Pyx_PySequence_SetSlice(obj, a, b, value) PySequence_SetSlice(obj, a, b, value) #define __Pyx_PySequence_DelSlice(obj, a, b) PySequence_DelSlice(obj, a, b) #else #define __Pyx_PySequence_GetSlice(obj, a, b) (unlikely(!(obj)) ? \ (PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), (PyObject*)0) : \ (likely((obj)->ob_type->tp_as_mapping) ? (PySequence_GetSlice(obj, a, b)) : \ (PyErr_Format(PyExc_TypeError, "'%.200s' object is unsliceable", (obj)->ob_type->tp_name), (PyObject*)0))) #define __Pyx_PySequence_SetSlice(obj, a, b, value) (unlikely(!(obj)) ? \ (PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), -1) : \ (likely((obj)->ob_type->tp_as_mapping) ? (PySequence_SetSlice(obj, a, b, value)) : \ (PyErr_Format(PyExc_TypeError, "'%.200s' object doesn't support slice assignment", (obj)->ob_type->tp_name), -1))) #define __Pyx_PySequence_DelSlice(obj, a, b) (unlikely(!(obj)) ? \ (PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), -1) : \ (likely((obj)->ob_type->tp_as_mapping) ? (PySequence_DelSlice(obj, a, b)) : \ (PyErr_Format(PyExc_TypeError, "'%.200s' object doesn't support slice deletion", (obj)->ob_type->tp_name), -1))) #endif #if PY_MAJOR_VERSION >= 3 #define PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : PyInstanceMethod_New(func)) #endif #if PY_VERSION_HEX < 0x02050000 #define __Pyx_GetAttrString(o,n) PyObject_GetAttrString((o),((char *)(n))) #define __Pyx_SetAttrString(o,n,a) PyObject_SetAttrString((o),((char *)(n)),(a)) #define __Pyx_DelAttrString(o,n) PyObject_DelAttrString((o),((char *)(n))) #else #define __Pyx_GetAttrString(o,n) PyObject_GetAttrString((o),(n)) #define __Pyx_SetAttrString(o,n,a) PyObject_SetAttrString((o),(n),(a)) #define __Pyx_DelAttrString(o,n) PyObject_DelAttrString((o),(n)) #endif #if PY_VERSION_HEX < 0x02050000 #define __Pyx_NAMESTR(n) ((char *)(n)) #define __Pyx_DOCSTR(n) ((char *)(n)) #else #define __Pyx_NAMESTR(n) (n) #define __Pyx_DOCSTR(n) (n) #endif #ifndef CYTHON_INLINE #if defined(__GNUC__) #define CYTHON_INLINE __inline__ #elif defined(_MSC_VER) #define CYTHON_INLINE __inline #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define CYTHON_INLINE inline #else #define CYTHON_INLINE #endif #endif #ifndef CYTHON_RESTRICT #if defined(__GNUC__) #define CYTHON_RESTRICT __restrict__ #elif defined(_MSC_VER) && _MSC_VER >= 1400 #define CYTHON_RESTRICT __restrict #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define CYTHON_RESTRICT restrict #else #define CYTHON_RESTRICT #endif #endif #ifdef NAN #define __PYX_NAN() ((float) NAN) #else static CYTHON_INLINE float __PYX_NAN() { /* Initialize NaN. The sign is irrelevant, an exponent with all bits 1 and a nonzero mantissa means NaN. If the first bit in the mantissa is 1, it is a quiet NaN. */ float value; memset(&value, 0xFF, sizeof(value)); return value; } #endif #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y) #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y) #else #define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y) #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y) #endif #ifndef __PYX_EXTERN_C #ifdef __cplusplus #define __PYX_EXTERN_C extern "C" #else #define __PYX_EXTERN_C extern #endif #endif #if defined(WIN32) || defined(MS_WINDOWS) #define _USE_MATH_DEFINES #endif #include #define __PYX_HAVE___qhull32 #define __PYX_HAVE_API___qhull32 #include "string.h" #include "stdio.h" #include "stdlib.h" #include "numpy/arrayobject.h" #include "numpy/ufuncobject.h" #include "user.h" #include "qhull_a.h" #include "qset.h" #include "pythread.h" #include "pystate.h" #ifdef _OPENMP #include #endif /* _OPENMP */ #ifdef PYREX_WITHOUT_ASSERTIONS #define CYTHON_WITHOUT_ASSERTIONS #endif #ifndef CYTHON_UNUSED # if defined(__GNUC__) # if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) # define CYTHON_UNUSED __attribute__ ((__unused__)) # else # define CYTHON_UNUSED # endif # elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) # define CYTHON_UNUSED __attribute__ ((__unused__)) # else # define CYTHON_UNUSED # endif #endif typedef struct {PyObject **p; char *s; const Py_ssize_t n; const char* encoding; const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; /*proto*/ #define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0 #define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT 0 #define __PYX_DEFAULT_STRING_ENCODING "" #define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString #define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject*); static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); #define __Pyx_PyBytes_FromString PyBytes_FromString #define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(char*); #if PY_MAJOR_VERSION < 3 #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize #else #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize #endif #define __Pyx_PyObject_AsUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s)) #define __Pyx_PyObject_FromUString(s) __Pyx_PyObject_FromString((char*)s) #define __Pyx_PyBytes_FromUString(s) __Pyx_PyBytes_FromString((char*)s) #define __Pyx_PyStr_FromUString(s) __Pyx_PyStr_FromString((char*)s) #define __Pyx_PyUnicode_FromUString(s) __Pyx_PyUnicode_FromString((char*)s) #if PY_MAJOR_VERSION < 3 static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { const Py_UNICODE *u_end = u; while (*u_end++) ; return u_end - u - 1; } #else #define __Pyx_Py_UNICODE_strlen Py_UNICODE_strlen #endif #define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u)) #define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode #define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode #define __Pyx_Owned_Py_None(b) (Py_INCREF(Py_None), Py_None) #define __Pyx_PyBool_FromLong(b) ((b) ? (Py_INCREF(Py_True), Py_True) : (Py_INCREF(Py_False), Py_False)) static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x); static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject*); #if CYTHON_COMPILING_IN_CPYTHON #define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) #else #define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) #endif #define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII static int __Pyx_sys_getdefaultencoding_not_ascii; static int __Pyx_init_sys_getdefaultencoding_params() { PyObject* sys = NULL; PyObject* default_encoding = NULL; PyObject* ascii_chars_u = NULL; PyObject* ascii_chars_b = NULL; sys = PyImport_ImportModule("sys"); if (sys == NULL) goto bad; default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); if (default_encoding == NULL) goto bad; if (strcmp(PyBytes_AsString(default_encoding), "ascii") == 0) { __Pyx_sys_getdefaultencoding_not_ascii = 0; } else { const char* default_encoding_c = PyBytes_AS_STRING(default_encoding); char ascii_chars[128]; int c; for (c = 0; c < 128; c++) { ascii_chars[c] = c; } __Pyx_sys_getdefaultencoding_not_ascii = 1; ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); if (ascii_chars_u == NULL) goto bad; ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); if (ascii_chars_b == NULL || strncmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { PyErr_Format( PyExc_ValueError, "This module compiled with c_string_encoding=ascii, but default encoding '%s' is not a superset of ascii.", default_encoding_c); goto bad; } } Py_XDECREF(sys); Py_XDECREF(default_encoding); Py_XDECREF(ascii_chars_u); Py_XDECREF(ascii_chars_b); return 0; bad: Py_XDECREF(sys); Py_XDECREF(default_encoding); Py_XDECREF(ascii_chars_u); Py_XDECREF(ascii_chars_b); return -1; } #endif #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) #else #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT static char* __PYX_DEFAULT_STRING_ENCODING; static int __Pyx_init_sys_getdefaultencoding_params() { PyObject* sys = NULL; PyObject* default_encoding = NULL; char* default_encoding_c; sys = PyImport_ImportModule("sys"); if (sys == NULL) goto bad; default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); if (default_encoding == NULL) goto bad; default_encoding_c = PyBytes_AS_STRING(default_encoding); __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c)); strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); Py_DECREF(sys); Py_DECREF(default_encoding); return 0; bad: Py_XDECREF(sys); Py_XDECREF(default_encoding); return -1; } #endif #endif #ifdef __GNUC__ /* Test for GCC > 2.95 */ #if __GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)) #define likely(x) __builtin_expect(!!(x), 1) #define unlikely(x) __builtin_expect(!!(x), 0) #else /* __GNUC__ > 2 ... */ #define likely(x) (x) #define unlikely(x) (x) #endif /* __GNUC__ > 2 ... */ #else /* __GNUC__ */ #define likely(x) (x) #define unlikely(x) (x) #endif /* __GNUC__ */ static PyObject *__pyx_m; static PyObject *__pyx_d; static PyObject *__pyx_b; static PyObject *__pyx_empty_tuple; static PyObject *__pyx_empty_bytes; static int __pyx_lineno; static int __pyx_clineno = 0; static const char * __pyx_cfilenm= __FILE__; static const char *__pyx_filename; #if !defined(CYTHON_CCOMPLEX) #if defined(__cplusplus) #define CYTHON_CCOMPLEX 1 #elif defined(_Complex_I) #define CYTHON_CCOMPLEX 1 #else #define CYTHON_CCOMPLEX 0 #endif #endif #if CYTHON_CCOMPLEX #ifdef __cplusplus #include #else #include #endif #endif #if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__) #undef _Complex_I #define _Complex_I 1.0fj #endif static const char *__pyx_f[] = { "qhull.pxi", "numpy.pxd", "stringsource", "_qhull32.pyx", "type.pxd", }; #define IS_UNSIGNED(type) (((type) -1) > 0) struct __Pyx_StructField_; #define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0) typedef struct { const char* name; /* for error messages only */ struct __Pyx_StructField_* fields; size_t size; /* sizeof(type) */ size_t arraysize[8]; /* length of array in each dimension */ int ndim; char typegroup; /* _R_eal, _C_omplex, Signed _I_nt, _U_nsigned int, _S_truct, _P_ointer, _O_bject, c_H_ar */ char is_unsigned; int flags; } __Pyx_TypeInfo; typedef struct __Pyx_StructField_ { __Pyx_TypeInfo* type; const char* name; size_t offset; } __Pyx_StructField; typedef struct { __Pyx_StructField* field; size_t parent_offset; } __Pyx_BufFmt_StackElem; typedef struct { __Pyx_StructField root; __Pyx_BufFmt_StackElem* head; size_t fmt_offset; size_t new_count, enc_count; size_t struct_alignment; int is_complex; char enc_type; char new_packmode; char enc_packmode; char is_valid_array; } __Pyx_BufFmt_Context; struct __pyx_memoryview_obj; typedef struct { struct __pyx_memoryview_obj *memview; char *data; Py_ssize_t shape[8]; Py_ssize_t strides[8]; Py_ssize_t suboffsets[8]; } __Pyx_memviewslice; #include #ifndef CYTHON_ATOMICS #define CYTHON_ATOMICS 1 #endif #define __pyx_atomic_int_type int #if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 || \ (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) && \ !defined(__i386__) #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1) #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1) #ifdef __PYX_DEBUG_ATOMICS #warning "Using GNU atomics" #endif #elif CYTHON_ATOMICS && MSC_VER #include #define __pyx_atomic_int_type LONG #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #warning "Using MSVC atomics" #endif #elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0 #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #warning "Using Intel atomics" #endif #else #undef CYTHON_ATOMICS #define CYTHON_ATOMICS 0 #ifdef __PYX_DEBUG_ATOMICS #warning "Not using atomics" #endif #endif typedef volatile __pyx_atomic_int_type __pyx_atomic_int; #if CYTHON_ATOMICS #define __pyx_add_acquisition_count(memview) \ __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview) \ __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #else #define __pyx_add_acquisition_count(memview) \ __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview) \ __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #endif /* "numpy.pxd":723 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t */ typedef npy_int8 __pyx_t_5numpy_int8_t; /* "numpy.pxd":724 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t */ typedef npy_int16 __pyx_t_5numpy_int16_t; /* "numpy.pxd":725 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< * ctypedef npy_int64 int64_t * #ctypedef npy_int96 int96_t */ typedef npy_int32 __pyx_t_5numpy_int32_t; /* "numpy.pxd":726 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< * #ctypedef npy_int96 int96_t * #ctypedef npy_int128 int128_t */ typedef npy_int64 __pyx_t_5numpy_int64_t; /* "numpy.pxd":730 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; /* "numpy.pxd":731 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; /* "numpy.pxd":732 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< * ctypedef npy_uint64 uint64_t * #ctypedef npy_uint96 uint96_t */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; /* "numpy.pxd":733 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< * #ctypedef npy_uint96 uint96_t * #ctypedef npy_uint128 uint128_t */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; /* "numpy.pxd":737 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< * ctypedef npy_float64 float64_t * #ctypedef npy_float80 float80_t */ typedef npy_float32 __pyx_t_5numpy_float32_t; /* "numpy.pxd":738 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< * #ctypedef npy_float80 float80_t * #ctypedef npy_float128 float128_t */ typedef npy_float64 __pyx_t_5numpy_float64_t; /* "numpy.pxd":747 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t */ typedef npy_long __pyx_t_5numpy_int_t; /* "numpy.pxd":748 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< * ctypedef npy_longlong longlong_t * */ typedef npy_longlong __pyx_t_5numpy_long_t; /* "numpy.pxd":749 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< * * ctypedef npy_ulong uint_t */ typedef npy_longlong __pyx_t_5numpy_longlong_t; /* "numpy.pxd":751 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t */ typedef npy_ulong __pyx_t_5numpy_uint_t; /* "numpy.pxd":752 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulonglong_t * */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; /* "numpy.pxd":753 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< * * ctypedef npy_intp intp_t */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; /* "numpy.pxd":755 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< * ctypedef npy_uintp uintp_t * */ typedef npy_intp __pyx_t_5numpy_intp_t; /* "numpy.pxd":756 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< * * ctypedef npy_double float_t */ typedef npy_uintp __pyx_t_5numpy_uintp_t; /* "numpy.pxd":758 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t */ typedef npy_double __pyx_t_5numpy_float_t; /* "numpy.pxd":759 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< * ctypedef npy_longdouble longdouble_t * */ typedef npy_double __pyx_t_5numpy_double_t; /* "numpy.pxd":760 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< * * ctypedef npy_cfloat cfloat_t */ typedef npy_longdouble __pyx_t_5numpy_longdouble_t; #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< float > __pyx_t_float_complex; #else typedef float _Complex __pyx_t_float_complex; #endif #else typedef struct { float real, imag; } __pyx_t_float_complex; #endif #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< double > __pyx_t_double_complex; #else typedef double _Complex __pyx_t_double_complex; #endif #else typedef struct { double real, imag; } __pyx_t_double_complex; #endif /*--- Type declarations ---*/ struct __pyx_memoryview_obj; struct __pyx_array_obj; struct __pyx_MemviewEnum_obj; struct __pyx_memoryviewslice_obj; /* "numpy.pxd":762 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; /* "numpy.pxd":763 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< * ctypedef npy_clongdouble clongdouble_t * */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; /* "numpy.pxd":764 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< * * ctypedef npy_cdouble complex_t */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; /* "numpy.pxd":766 * ctypedef npy_clongdouble clongdouble_t * * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew1(a): */ typedef npy_cdouble __pyx_t_5numpy_complex_t; /* "View.MemoryView":308 * * @cname('__pyx_memoryview') * cdef class memoryview(object): # <<<<<<<<<<<<<< * * cdef object obj */ struct __pyx_memoryview_obj { PyObject_HEAD struct __pyx_vtabstruct_memoryview *__pyx_vtab; PyObject *obj; PyObject *_size; PyObject *_array_interface; PyThread_type_lock lock; __pyx_atomic_int acquisition_count[2]; __pyx_atomic_int *acquisition_count_aligned_p; Py_buffer view; int flags; int dtype_is_object; __Pyx_TypeInfo *typeinfo; }; /* "View.MemoryView":96 * * @cname("__pyx_array") * cdef class array: # <<<<<<<<<<<<<< * * cdef: */ struct __pyx_array_obj { PyObject_HEAD char *data; Py_ssize_t len; char *format; int ndim; Py_ssize_t *_shape; Py_ssize_t *_strides; Py_ssize_t itemsize; PyObject *mode; PyObject *_format; void (*callback_free_data)(void *); int free_data; int dtype_is_object; }; /* "View.MemoryView":275 * * @cname('__pyx_MemviewEnum') * cdef class Enum(object): # <<<<<<<<<<<<<< * cdef object name * def __init__(self, name): */ struct __pyx_MemviewEnum_obj { PyObject_HEAD PyObject *name; }; /* "View.MemoryView":927 * * @cname('__pyx_memoryviewslice') * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< * "Internal class for passing memoryview slices to Python" * */ struct __pyx_memoryviewslice_obj { struct __pyx_memoryview_obj __pyx_base; __Pyx_memviewslice from_slice; PyObject *from_object; PyObject *(*to_object_func)(char *); int (*to_dtype_func)(char *, PyObject *); }; /* "View.MemoryView":308 * * @cname('__pyx_memoryview') * cdef class memoryview(object): # <<<<<<<<<<<<<< * * cdef object obj */ struct __pyx_vtabstruct_memoryview { char *(*get_item_pointer)(struct __pyx_memoryview_obj *, PyObject *); PyObject *(*is_slice)(struct __pyx_memoryview_obj *, PyObject *); PyObject *(*setitem_slice_assignment)(struct __pyx_memoryview_obj *, PyObject *, PyObject *); PyObject *(*setitem_slice_assign_scalar)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *); PyObject *(*setitem_indexed)(struct __pyx_memoryview_obj *, PyObject *, PyObject *); PyObject *(*convert_item_to_object)(struct __pyx_memoryview_obj *, char *); PyObject *(*assign_item_from_object)(struct __pyx_memoryview_obj *, char *, PyObject *); }; static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview; /* "View.MemoryView":927 * * @cname('__pyx_memoryviewslice') * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< * "Internal class for passing memoryview slices to Python" * */ struct __pyx_vtabstruct__memoryviewslice { struct __pyx_vtabstruct_memoryview __pyx_base; }; static struct __pyx_vtabstruct__memoryviewslice *__pyx_vtabptr__memoryviewslice; #ifndef CYTHON_REFNANNY #define CYTHON_REFNANNY 0 #endif #if CYTHON_REFNANNY typedef struct { void (*INCREF)(void*, PyObject*, int); void (*DECREF)(void*, PyObject*, int); void (*GOTREF)(void*, PyObject*, int); void (*GIVEREF)(void*, PyObject*, int); void* (*SetupContext)(const char*, int, const char*); void (*FinishContext)(void**); } __Pyx_RefNannyAPIStruct; static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL; static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname); /*proto*/ #define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL; #ifdef WITH_THREAD #define __Pyx_RefNannySetupContext(name, acquire_gil) \ if (acquire_gil) { \ PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); \ __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__); \ PyGILState_Release(__pyx_gilstate_save); \ } else { \ __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__); \ } #else #define __Pyx_RefNannySetupContext(name, acquire_gil) \ __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__) #endif #define __Pyx_RefNannyFinishContext() \ __Pyx_RefNanny->FinishContext(&__pyx_refnanny) #define __Pyx_INCREF(r) __Pyx_RefNanny->INCREF(__pyx_refnanny, (PyObject *)(r), __LINE__) #define __Pyx_DECREF(r) __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__) #define __Pyx_GOTREF(r) __Pyx_RefNanny->GOTREF(__pyx_refnanny, (PyObject *)(r), __LINE__) #define __Pyx_GIVEREF(r) __Pyx_RefNanny->GIVEREF(__pyx_refnanny, (PyObject *)(r), __LINE__) #define __Pyx_XINCREF(r) do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0) #define __Pyx_XDECREF(r) do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0) #define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0) #define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0) #else #define __Pyx_RefNannyDeclarations #define __Pyx_RefNannySetupContext(name, acquire_gil) #define __Pyx_RefNannyFinishContext() #define __Pyx_INCREF(r) Py_INCREF(r) #define __Pyx_DECREF(r) Py_DECREF(r) #define __Pyx_GOTREF(r) #define __Pyx_GIVEREF(r) #define __Pyx_XINCREF(r) Py_XINCREF(r) #define __Pyx_XDECREF(r) Py_XDECREF(r) #define __Pyx_XGOTREF(r) #define __Pyx_XGIVEREF(r) #endif /* CYTHON_REFNANNY */ #define __Pyx_XDECREF_SET(r, v) do { \ PyObject *tmp = (PyObject *) r; \ r = v; __Pyx_XDECREF(tmp); \ } while (0) #define __Pyx_DECREF_SET(r, v) do { \ PyObject *tmp = (PyObject *) r; \ r = v; __Pyx_DECREF(tmp); \ } while (0) #define __Pyx_CLEAR(r) do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0) #define __Pyx_XCLEAR(r) do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0) #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) { PyTypeObject* tp = Py_TYPE(obj); if (likely(tp->tp_getattro)) return tp->tp_getattro(obj, attr_name); #if PY_MAJOR_VERSION < 3 if (likely(tp->tp_getattr)) return tp->tp_getattr(obj, PyString_AS_STRING(attr_name)); #endif return PyObject_GetAttr(obj, attr_name); } #else #define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n) #endif static PyObject *__Pyx_GetBuiltinName(PyObject *name); /*proto*/ static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact, Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found); /*proto*/ static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name); /*proto*/ static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[], \ PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, \ const char* function_name); /*proto*/ static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed, const char *name, int exact); /*proto*/ static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack); static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info); static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name); /*proto*/ #define __Pyx_GetItemInt(o, i, size, to_py_func, is_list, wraparound, boundscheck) \ (((size) <= sizeof(Py_ssize_t)) ? \ __Pyx_GetItemInt_Fast(o, i, is_list, wraparound, boundscheck) : \ __Pyx_GetItemInt_Generic(o, to_py_func(i))) #define __Pyx_GetItemInt_List(o, i, size, to_py_func, is_list, wraparound, boundscheck) \ (((size) <= sizeof(Py_ssize_t)) ? \ __Pyx_GetItemInt_List_Fast(o, i, wraparound, boundscheck) : \ __Pyx_GetItemInt_Generic(o, to_py_func(i))) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); #define __Pyx_GetItemInt_Tuple(o, i, size, to_py_func, is_list, wraparound, boundscheck) \ (((size) <= sizeof(Py_ssize_t)) ? \ __Pyx_GetItemInt_Tuple_Fast(o, i, wraparound, boundscheck) : \ __Pyx_GetItemInt_Generic(o, to_py_func(i))) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, int wraparound, int boundscheck); static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb); /*proto*/ static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb); /*proto*/ static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); /*proto*/ #define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d #define __Pyx_MEMVIEW_DIRECT 1 #define __Pyx_MEMVIEW_PTR 2 #define __Pyx_MEMVIEW_FULL 4 #define __Pyx_MEMVIEW_CONTIG 8 #define __Pyx_MEMVIEW_STRIDED 16 #define __Pyx_MEMVIEW_FOLLOW 32 #define __Pyx_IS_C_CONTIG 1 #define __Pyx_IS_F_CONTIG 2 static int __Pyx_init_memviewslice( struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference); static CYTHON_INLINE int __pyx_add_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); static CYTHON_INLINE int __pyx_sub_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); #define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p) #define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview)) #define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__) #define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__) static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int); static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int); static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); static CYTHON_INLINE int __Pyx_IterFinish(void); /*proto*/ static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected); /*proto*/ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); /*proto*/ static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *); /*proto*/ static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *); /*proto*/ static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t); /* proto */ #ifndef __PYX_FORCE_INIT_THREADS #define __PYX_FORCE_INIT_THREADS 0 #endif #define UNARY_NEG_WOULD_OVERFLOW(x) (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x))) static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals); /*proto*/ static PyObject *get_memview(PyObject *__pyx_v_self); /*proto*/ static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)); #include static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); /*proto*/ static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static PyObject *__pyx_memoryview_transpose(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview__get__base(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_shape(PyObject *__pyx_v_self); /*proto*/ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len)) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) #endif static PyObject *__pyx_memoryview_get_strides(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_suboffsets(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_ndim(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_itemsize(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_nbytes(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_size(PyObject *__pyx_v_self); /*proto*/ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_PyList_Append(L,x) PyList_Append(L,x) #endif static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname); static CYTHON_INLINE long __Pyx_div_long(long, long); /* proto */ static PyObject *__pyx_memoryviewslice__get__base(PyObject *__pyx_v_self); /*proto*/ static void __Pyx_WriteUnraisable(const char *name, int clineno, int lineno, const char *filename); /*proto*/ static int __Pyx_SetVtable(PyObject *dict, void *vtable); /*proto*/ typedef struct { Py_ssize_t shape, strides, suboffsets; } __Pyx_Buf_DimInfo; typedef struct { size_t refcount; Py_buffer pybuffer; } __Pyx_Buffer; typedef struct { __Pyx_Buffer *rcbuffer; char *data; __Pyx_Buf_DimInfo diminfo[8]; } __Pyx_LocalBuf_ND; #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); static void __Pyx_ReleaseBuffer(Py_buffer *view); #else #define __Pyx_GetBuffer PyObject_GetBuffer #define __Pyx_ReleaseBuffer PyBuffer_Release #endif static Py_ssize_t __Pyx_zeros[] = {0, 0, 0, 0, 0, 0, 0, 0}; static Py_ssize_t __Pyx_minusones[] = {-1, -1, -1, -1, -1, -1, -1, -1}; static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level); /*proto*/ #if CYTHON_CCOMPLEX #ifdef __cplusplus #define __Pyx_CREAL(z) ((z).real()) #define __Pyx_CIMAG(z) ((z).imag()) #else #define __Pyx_CREAL(z) (__real__(z)) #define __Pyx_CIMAG(z) (__imag__(z)) #endif #else #define __Pyx_CREAL(z) ((z).real) #define __Pyx_CIMAG(z) ((z).imag) #endif #if defined(_WIN32) && defined(__cplusplus) && CYTHON_CCOMPLEX #define __Pyx_SET_CREAL(z,x) ((z).real(x)) #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) #else #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) #endif static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float); #if CYTHON_CCOMPLEX #define __Pyx_c_eqf(a, b) ((a)==(b)) #define __Pyx_c_sumf(a, b) ((a)+(b)) #define __Pyx_c_difff(a, b) ((a)-(b)) #define __Pyx_c_prodf(a, b) ((a)*(b)) #define __Pyx_c_quotf(a, b) ((a)/(b)) #define __Pyx_c_negf(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zerof(z) ((z)==(float)0) #define __Pyx_c_conjf(z) (::std::conj(z)) #if 1 #define __Pyx_c_absf(z) (::std::abs(z)) #define __Pyx_c_powf(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zerof(z) ((z)==0) #define __Pyx_c_conjf(z) (conjf(z)) #if 1 #define __Pyx_c_absf(z) (cabsf(z)) #define __Pyx_c_powf(a, b) (cpowf(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex); static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex); #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex, __pyx_t_float_complex); #endif #endif static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double); #if CYTHON_CCOMPLEX #define __Pyx_c_eq(a, b) ((a)==(b)) #define __Pyx_c_sum(a, b) ((a)+(b)) #define __Pyx_c_diff(a, b) ((a)-(b)) #define __Pyx_c_prod(a, b) ((a)*(b)) #define __Pyx_c_quot(a, b) ((a)/(b)) #define __Pyx_c_neg(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zero(z) ((z)==(double)0) #define __Pyx_c_conj(z) (::std::conj(z)) #if 1 #define __Pyx_c_abs(z) (::std::abs(z)) #define __Pyx_c_pow(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zero(z) ((z)==0) #define __Pyx_c_conj(z) (conj(z)) #if 1 #define __Pyx_c_abs(z) (cabs(z)) #define __Pyx_c_pow(a, b) (cpow(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex); static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex); #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex, __pyx_t_double_complex); #endif #endif static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice *mvs, char order, int ndim); static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize); static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object); static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig); static CYTHON_INLINE void __Pyx_ExceptionSave(PyObject **type, PyObject **value, PyObject **tb); /*proto*/ static void __Pyx_ExceptionReset(PyObject *type, PyObject *value, PyObject *tb); /*proto*/ static CYTHON_INLINE unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject *); static CYTHON_INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject *); static CYTHON_INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject *); static CYTHON_INLINE char __Pyx_PyInt_AsChar(PyObject *); static CYTHON_INLINE short __Pyx_PyInt_AsShort(PyObject *); static CYTHON_INLINE int __Pyx_PyInt_AsInt(PyObject *); static CYTHON_INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject *); static CYTHON_INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject *); static CYTHON_INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject *); static CYTHON_INLINE int __Pyx_PyInt_AsLongDouble(PyObject *); static CYTHON_INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject *); static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject *); static CYTHON_INLINE long __Pyx_PyInt_AsLong(PyObject *); static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject *); static CYTHON_INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject *); static CYTHON_INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject *); static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b); static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj); static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_nn_coordT(PyObject *); static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_unsigned_int(PyObject *); static int __Pyx_check_binary_version(void); #if !defined(__Pyx_PyIdentifier_FromString) #if PY_MAJOR_VERSION < 3 #define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s) #else #define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s) #endif #endif static PyObject *__Pyx_ImportModule(const char *name); /*proto*/ static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict); /*proto*/ typedef struct { int code_line; PyCodeObject* code_object; } __Pyx_CodeObjectCacheEntry; struct __Pyx_CodeObjectCache { int count; int max_count; __Pyx_CodeObjectCacheEntry* entries; }; static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); static PyCodeObject *__pyx_find_code_object(int code_line); static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename); /*proto*/ static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); /*proto*/ /* Module declarations from 'cython.view' */ /* Module declarations from 'cython' */ /* Module declarations from 'cpython.buffer' */ /* Module declarations from 'cpython.ref' */ /* Module declarations from 'libc.string' */ /* Module declarations from 'libc.stdio' */ /* Module declarations from 'cpython.object' */ /* Module declarations from '__builtin__' */ /* Module declarations from 'cpython.type' */ static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0; /* Module declarations from 'libc.stdlib' */ /* Module declarations from 'numpy' */ /* Module declarations from 'numpy' */ static PyTypeObject *__pyx_ptype_5numpy_dtype = 0; static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0; static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0; static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0; static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0; static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/ /* Module declarations from 'qhull' */ /* Module declarations from '_qhull32' */ static PyTypeObject *__pyx_memoryview_type = 0; static PyTypeObject *__pyx_array_type = 0; static PyTypeObject *__pyx_MemviewEnum_type = 0; static PyTypeObject *__pyx_memoryviewslice_type = 0; static PyObject *generic = 0; static PyObject *strided = 0; static PyObject *indirect = 0; static PyObject *contiguous = 0; static PyObject *indirect_contiguous = 0; static unsigned int __pyx_f_8_qhull32_nbDelaunayFacets(void); /*proto*/ static void __pyx_f_8_qhull32_setDelaunayIndices(__Pyx_memviewslice); /*proto*/ static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ static void *__pyx_align_pointer(void *, size_t); /*proto*/ static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ static PyObject *_unellipsify(PyObject *, int); /*proto*/ static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, int); /*proto*/ static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/ static int __pyx_memoryview_err(PyObject *, char *); /*proto*/ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ static __Pyx_TypeInfo __Pyx_TypeInfo_nn_realT = { "realT", NULL, sizeof(realT), { 0 }, 0, 'R', 0, 0 }; static __Pyx_TypeInfo __Pyx_TypeInfo_nn_coordT = { "coordT", NULL, sizeof(coordT), { 0 }, 0, 'R', 0, 0 }; static __Pyx_TypeInfo __Pyx_TypeInfo_unsigned_int = { "unsigned int", NULL, sizeof(unsigned int), { 0 }, 0, IS_UNSIGNED(unsigned int) ? 'U' : 'I', IS_UNSIGNED(unsigned int), 0 }; #define __Pyx_MODULE_NAME "_qhull32" int __pyx_module_is_main__qhull32 = 0; /* Implementation of '_qhull32' */ static PyObject *__pyx_builtin_RuntimeError; static PyObject *__pyx_builtin_ArithmeticError; static PyObject *__pyx_builtin_MemoryError; static PyObject *__pyx_builtin_range; static PyObject *__pyx_builtin_ValueError; static PyObject *__pyx_builtin_enumerate; static PyObject *__pyx_builtin_Ellipsis; static PyObject *__pyx_builtin_TypeError; static PyObject *__pyx_builtin_xrange; static PyObject *__pyx_builtin_id; static PyObject *__pyx_builtin_IndexError; static PyObject *__pyx_pf_8_qhull32_delaunay(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_points, PyObject *__pyx_v_command); /* proto */ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */ static int __pyx_array_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ static int __pyx_array_getbuffer_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static void __pyx_array_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ static PyObject *get_memview_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_array_MemoryView_5array_6__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ static PyObject *__pyx_array_MemoryView_5array_8__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ static int __pyx_array_MemoryView_5array_10__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */ static int __pyx_MemviewEnum_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */ static PyObject *__pyx_MemviewEnum_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ static int __pyx_memoryview_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */ static void __pyx_memoryview_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */ static int __pyx_memoryview_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */ static int __pyx_memoryview_getbuffer_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static PyObject *__pyx_memoryview_transpose_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview__get__base_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_shape_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_strides_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_suboffsets_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_ndim_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_itemsize_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_nbytes_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_size_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static Py_ssize_t __pyx_memoryview_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static void __pyx_memoryviewslice_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryviewslice__get__base_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static char __pyx_k_2[] = "ndarray is not C contiguous"; static char __pyx_k_4[] = "ndarray is not Fortran contiguous"; static char __pyx_k_6[] = "Non-native byte order not supported"; static char __pyx_k_8[] = "unknown dtype code in numpy.pxd (%d)"; static char __pyx_k_9[] = "Format string allocated too short, see comment in numpy.pxd"; static char __pyx_k_12[] = "Format string allocated too short."; static char __pyx_k_14[] = "Empty shape tuple for cython.array"; static char __pyx_k_16[] = "itemsize <= 0 for cython.array"; static char __pyx_k_19[] = "unable to allocate shape or strides."; static char __pyx_k_21[] = "Invalid shape in axis %d: %d."; static char __pyx_k_22[] = "Invalid mode, expected 'c' or 'fortran', got %s"; static char __pyx_k_24[] = "unable to allocate array data."; static char __pyx_k_26[] = "Can only create a buffer that is contiguous in memory."; static char __pyx_k_28[] = "Unable to convert item to object"; static char __pyx_k_30[] = "Buffer view does not expose strides"; static char __pyx_k_32[] = ""; static char __pyx_k_33[] = ""; static char __pyx_k_36[] = "Cannot index with type '%s'"; static char __pyx_k_38[] = "Indirect dimensions not supported"; static char __pyx_k_40[] = "Index out of bounds (axis %d)"; static char __pyx_k_41[] = "Step may not be zero (axis %d)"; static char __pyx_k_42[] = "All dimensions preceding dimension %d must be indexed and not sliced"; static char __pyx_k_43[] = "Out of bounds on buffer access (axis %d)"; static char __pyx_k_44[] = "Cannot transpose memoryview with indirect dimensions"; static char __pyx_k_45[] = "got differing extents in dimension %d (got %d and %d)"; static char __pyx_k_46[] = "Dimension %d is not direct"; static char __pyx_k_47[] = "qhull input inconsistency"; static char __pyx_k_49[] = "qhull singluar input data"; static char __pyx_k_51[] = "qhull precision error"; static char __pyx_k_53[] = "qhull insufficient memory"; static char __pyx_k_55[] = "qhull internal error"; static char __pyx_k_59[] = "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi"; static char __pyx_k_60[] = "getbuffer(obj, view, flags)"; static char __pyx_k_61[] = ""; static char __pyx_k_63[] = ""; static char __pyx_k_65[] = ""; static char __pyx_k_67[] = ""; static char __pyx_k_69[] = ""; static char __pyx_k__B[] = "B"; static char __pyx_k__H[] = "H"; static char __pyx_k__I[] = "I"; static char __pyx_k__L[] = "L"; static char __pyx_k__O[] = "O"; static char __pyx_k__Q[] = "Q"; static char __pyx_k__b[] = "b"; static char __pyx_k__c[] = "c"; static char __pyx_k__d[] = "d"; static char __pyx_k__f[] = "f"; static char __pyx_k__g[] = "g"; static char __pyx_k__h[] = "h"; static char __pyx_k__i[] = "i"; static char __pyx_k__l[] = "l"; static char __pyx_k__q[] = "q"; static char __pyx_k__Zd[] = "Zd"; static char __pyx_k__Zf[] = "Zf"; static char __pyx_k__Zg[] = "Zg"; static char __pyx_k__id[] = "id"; static char __pyx_k__obj[] = "obj"; static char __pyx_k__Lock[] = "Lock"; static char __pyx_k__base[] = "base"; static char __pyx_k__mode[] = "mode"; static char __pyx_k__name[] = "name"; static char __pyx_k__ndim[] = "ndim"; static char __pyx_k__pack[] = "pack"; static char __pyx_k__size[] = "size"; static char __pyx_k__step[] = "step"; static char __pyx_k__stop[] = "stop"; static char __pyx_k__ASCII[] = "ASCII"; static char __pyx_k__array[] = "array"; static char __pyx_k__dtype[] = "dtype"; static char __pyx_k__empty[] = "empty"; static char __pyx_k__error[] = "error"; static char __pyx_k__flags[] = "flags"; static char __pyx_k__numpy[] = "numpy"; static char __pyx_k__range[] = "range"; static char __pyx_k__ravel[] = "ravel"; static char __pyx_k__shape[] = "shape"; static char __pyx_k__start[] = "start"; static char __pyx_k__decode[] = "decode"; static char __pyx_k__encode[] = "encode"; static char __pyx_k__extend[] = "extend"; static char __pyx_k__format[] = "format"; static char __pyx_k__points[] = "points"; static char __pyx_k__result[] = "result"; static char __pyx_k__struct[] = "struct"; static char __pyx_k__uint32[] = "uint32"; static char __pyx_k__unpack[] = "unpack"; static char __pyx_k__xrange[] = "xrange"; static char __pyx_k___errors[] = "_errors"; static char __pyx_k__command[] = "command"; static char __pyx_k__fortran[] = "fortran"; static char __pyx_k__indices[] = "indices"; static char __pyx_k__memview[] = "memview"; static char __pyx_k__Ellipsis[] = "Ellipsis"; static char __pyx_k____main__[] = "__main__"; static char __pyx_k____name__[] = "__name__"; static char __pyx_k____test__[] = "__test__"; static char __pyx_k___qhull32[] = "_qhull32"; static char __pyx_k__c_points[] = "c_points"; static char __pyx_k__delaunay[] = "delaunay"; static char __pyx_k__itemsize[] = "itemsize"; static char __pyx_k__nbFacets[] = "nbFacets"; static char __pyx_k__TypeError[] = "TypeError"; static char __pyx_k____class__[] = "__class__"; static char __pyx_k__c_command[] = "c_command"; static char __pyx_k__c_indices[] = "c_indices"; static char __pyx_k__dimension[] = "dimension"; static char __pyx_k__enumerate[] = "enumerate"; static char __pyx_k__threading[] = "threading"; static char __pyx_k__IndexError[] = "IndexError"; static char __pyx_k__ValueError[] = "ValueError"; static char __pyx_k____import__[] = "__import__"; static char __pyx_k__MemoryError[] = "MemoryError"; static char __pyx_k____version__[] = "__version__"; static char __pyx_k___qhull_lock[] = "_qhull_lock"; static char __pyx_k__RuntimeError[] = "RuntimeError"; static char __pyx_k____pyx_vtable__[] = "__pyx_vtable__"; static char __pyx_k__ArithmeticError[] = "ArithmeticError"; static char __pyx_k____pyx_getbuffer[] = "__pyx_getbuffer"; static char __pyx_k__allocate_buffer[] = "allocate_buffer"; static char __pyx_k__dtype_is_object[] = "dtype_is_object"; static char __pyx_k____pyx_releasebuffer[] = "__pyx_releasebuffer"; static PyObject *__pyx_kp_u_12; static PyObject *__pyx_kp_s_14; static PyObject *__pyx_kp_s_16; static PyObject *__pyx_kp_s_19; static PyObject *__pyx_kp_u_2; static PyObject *__pyx_kp_s_21; static PyObject *__pyx_kp_s_22; static PyObject *__pyx_kp_s_24; static PyObject *__pyx_kp_s_26; static PyObject *__pyx_kp_s_28; static PyObject *__pyx_kp_s_30; static PyObject *__pyx_kp_s_32; static PyObject *__pyx_kp_s_33; static PyObject *__pyx_kp_s_36; static PyObject *__pyx_kp_s_38; static PyObject *__pyx_kp_u_4; static PyObject *__pyx_kp_s_43; static PyObject *__pyx_kp_s_45; static PyObject *__pyx_kp_s_47; static PyObject *__pyx_kp_s_49; static PyObject *__pyx_kp_s_51; static PyObject *__pyx_kp_s_53; static PyObject *__pyx_kp_s_55; static PyObject *__pyx_kp_s_59; static PyObject *__pyx_kp_u_6; static PyObject *__pyx_kp_s_61; static PyObject *__pyx_kp_s_63; static PyObject *__pyx_kp_s_65; static PyObject *__pyx_kp_s_67; static PyObject *__pyx_kp_s_69; static PyObject *__pyx_kp_u_8; static PyObject *__pyx_kp_u_9; static PyObject *__pyx_n_s__ASCII; static PyObject *__pyx_n_s__ArithmeticError; static PyObject *__pyx_n_s__Ellipsis; static PyObject *__pyx_n_s__IndexError; static PyObject *__pyx_n_s__Lock; static PyObject *__pyx_n_s__MemoryError; static PyObject *__pyx_n_b__O; static PyObject *__pyx_n_s__RuntimeError; static PyObject *__pyx_n_s__TypeError; static PyObject *__pyx_n_s__ValueError; static PyObject *__pyx_n_s____class__; static PyObject *__pyx_n_s____import__; static PyObject *__pyx_n_s____main__; static PyObject *__pyx_n_s____name__; static PyObject *__pyx_n_s____pyx_getbuffer; static PyObject *__pyx_n_s____pyx_releasebuffer; static PyObject *__pyx_n_s____pyx_vtable__; static PyObject *__pyx_n_s____test__; static PyObject *__pyx_n_s____version__; static PyObject *__pyx_n_s___errors; static PyObject *__pyx_n_s___qhull32; static PyObject *__pyx_n_s___qhull_lock; static PyObject *__pyx_n_s__allocate_buffer; static PyObject *__pyx_n_s__array; static PyObject *__pyx_n_s__base; static PyObject *__pyx_n_b__c; static PyObject *__pyx_n_s__c; static PyObject *__pyx_n_u__c; static PyObject *__pyx_n_s__c_command; static PyObject *__pyx_n_s__c_indices; static PyObject *__pyx_n_s__c_points; static PyObject *__pyx_n_s__command; static PyObject *__pyx_n_s__decode; static PyObject *__pyx_n_s__delaunay; static PyObject *__pyx_n_s__dimension; static PyObject *__pyx_n_s__dtype; static PyObject *__pyx_n_s__dtype_is_object; static PyObject *__pyx_n_s__empty; static PyObject *__pyx_n_s__encode; static PyObject *__pyx_n_s__enumerate; static PyObject *__pyx_n_s__error; static PyObject *__pyx_n_s__extend; static PyObject *__pyx_n_s__flags; static PyObject *__pyx_n_s__format; static PyObject *__pyx_n_b__fortran; static PyObject *__pyx_n_s__fortran; static PyObject *__pyx_n_s__id; static PyObject *__pyx_n_s__indices; static PyObject *__pyx_n_s__itemsize; static PyObject *__pyx_n_s__memview; static PyObject *__pyx_n_s__mode; static PyObject *__pyx_n_s__name; static PyObject *__pyx_n_s__nbFacets; static PyObject *__pyx_n_s__ndim; static PyObject *__pyx_n_s__numpy; static PyObject *__pyx_n_s__obj; static PyObject *__pyx_n_s__pack; static PyObject *__pyx_n_s__points; static PyObject *__pyx_n_s__range; static PyObject *__pyx_n_s__ravel; static PyObject *__pyx_n_s__result; static PyObject *__pyx_n_s__shape; static PyObject *__pyx_n_s__size; static PyObject *__pyx_n_s__start; static PyObject *__pyx_n_s__step; static PyObject *__pyx_n_s__stop; static PyObject *__pyx_n_s__struct; static PyObject *__pyx_n_s__threading; static PyObject *__pyx_n_s__uint32; static PyObject *__pyx_n_s__unpack; static PyObject *__pyx_n_s__xrange; static PyObject *__pyx_int_0; static PyObject *__pyx_int_1; static PyObject *__pyx_int_neg_1; static PyObject *__pyx_int_15; static PyObject *__pyx_k_tuple_1; static PyObject *__pyx_k_tuple_3; static PyObject *__pyx_k_tuple_5; static PyObject *__pyx_k_tuple_7; static PyObject *__pyx_k_tuple_10; static PyObject *__pyx_k_tuple_11; static PyObject *__pyx_k_tuple_13; static PyObject *__pyx_k_tuple_15; static PyObject *__pyx_k_tuple_17; static PyObject *__pyx_k_tuple_18; static PyObject *__pyx_k_tuple_20; static PyObject *__pyx_k_tuple_23; static PyObject *__pyx_k_tuple_25; static PyObject *__pyx_k_tuple_27; static PyObject *__pyx_k_tuple_29; static PyObject *__pyx_k_tuple_31; static PyObject *__pyx_k_tuple_34; static PyObject *__pyx_k_tuple_35; static PyObject *__pyx_k_tuple_37; static PyObject *__pyx_k_tuple_39; static PyObject *__pyx_k_tuple_48; static PyObject *__pyx_k_tuple_50; static PyObject *__pyx_k_tuple_52; static PyObject *__pyx_k_tuple_54; static PyObject *__pyx_k_tuple_56; static PyObject *__pyx_k_tuple_57; static PyObject *__pyx_k_tuple_62; static PyObject *__pyx_k_tuple_64; static PyObject *__pyx_k_tuple_66; static PyObject *__pyx_k_tuple_68; static PyObject *__pyx_k_tuple_70; static PyObject *__pyx_k_codeobj_58; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":64 * * * cdef unsigned int nbDelaunayFacets(): # <<<<<<<<<<<<<< * # Corresponding C code: * # unsigned int get_num_delaunay_facets(void) { */ static unsigned int __pyx_f_8_qhull32_nbDelaunayFacets(void) { facetT *__pyx_v_facet; unsigned int __pyx_v_nbFacets; unsigned int __pyx_r; __Pyx_RefNannyDeclarations facetT *__pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; __Pyx_RefNannySetupContext("nbDelaunayFacets", 0); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":77 * # } * cdef _qhull.facetT * facet * cdef unsigned int nbFacets = 0 # <<<<<<<<<<<<<< * * # FORALLfacets */ __pyx_v_nbFacets = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":80 * * # FORALLfacets * facet = _qhull.qh_qh.facet_list # <<<<<<<<<<<<<< * while facet != NULL and facet.next != NULL: * if not facet.upperdelaunay: */ __pyx_t_1 = qh_qh.facet_list; __pyx_v_facet = __pyx_t_1; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":81 * # FORALLfacets * facet = _qhull.qh_qh.facet_list * while facet != NULL and facet.next != NULL: # <<<<<<<<<<<<<< * if not facet.upperdelaunay: * nbFacets += 1 */ while (1) { __pyx_t_2 = ((__pyx_v_facet != NULL) != 0); if (__pyx_t_2) { __pyx_t_3 = ((__pyx_v_facet->next != NULL) != 0); __pyx_t_4 = __pyx_t_3; } else { __pyx_t_4 = __pyx_t_2; } if (!__pyx_t_4) break; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":82 * facet = _qhull.qh_qh.facet_list * while facet != NULL and facet.next != NULL: * if not facet.upperdelaunay: # <<<<<<<<<<<<<< * nbFacets += 1 * facet = facet.next */ __pyx_t_4 = ((!(__pyx_v_facet->upperdelaunay != 0)) != 0); if (__pyx_t_4) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":83 * while facet != NULL and facet.next != NULL: * if not facet.upperdelaunay: * nbFacets += 1 # <<<<<<<<<<<<<< * facet = facet.next * */ __pyx_v_nbFacets = (__pyx_v_nbFacets + 1); goto __pyx_L5; } __pyx_L5:; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":84 * if not facet.upperdelaunay: * nbFacets += 1 * facet = facet.next # <<<<<<<<<<<<<< * * return nbFacets */ __pyx_t_1 = __pyx_v_facet->next; __pyx_v_facet = __pyx_t_1; } /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":86 * facet = facet.next * * return nbFacets # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_nbFacets; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":91 * @cython.boundscheck(False) * @cython.wraparound(False) * cdef void setDelaunayIndices(unsigned int[:] c_indices): # <<<<<<<<<<<<<< * # Corresponding C code * # void set_delaunay_indices(unsigned int * indices) { */ static void __pyx_f_8_qhull32_setDelaunayIndices(__Pyx_memviewslice __pyx_v_c_indices) { facetT *__pyx_v_facet; vertexT *__pyx_v_vertex; unsigned int __pyx_v_indicesIndex; unsigned int __pyx_v_setIndex; __Pyx_RefNannyDeclarations facetT *__pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; int __pyx_t_5; unsigned int __pyx_t_6; unsigned int __pyx_t_7; __Pyx_RefNannySetupContext("setDelaunayIndices", 0); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":106 * cdef _qhull.facetT * facet * cdef _qhull.vertexT * vertex * cdef unsigned int indicesIndex = 0 # <<<<<<<<<<<<<< * cdef unsigned int setIndex * */ __pyx_v_indicesIndex = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":110 * * # FORALLfacets * facet = _qhull.qh_qh.facet_list # <<<<<<<<<<<<<< * while facet != NULL and facet.next != NULL: * if not facet.upperdelaunay: */ __pyx_t_1 = qh_qh.facet_list; __pyx_v_facet = __pyx_t_1; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":111 * # FORALLfacets * facet = _qhull.qh_qh.facet_list * while facet != NULL and facet.next != NULL: # <<<<<<<<<<<<<< * if not facet.upperdelaunay: * # FOREACHvertex_ */ while (1) { __pyx_t_2 = ((__pyx_v_facet != NULL) != 0); if (__pyx_t_2) { __pyx_t_3 = ((__pyx_v_facet->next != NULL) != 0); __pyx_t_4 = __pyx_t_3; } else { __pyx_t_4 = __pyx_t_2; } if (!__pyx_t_4) break; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":112 * facet = _qhull.qh_qh.facet_list * while facet != NULL and facet.next != NULL: * if not facet.upperdelaunay: # <<<<<<<<<<<<<< * # FOREACHvertex_ * if facet.vertices != NULL: */ __pyx_t_4 = ((!(__pyx_v_facet->upperdelaunay != 0)) != 0); if (__pyx_t_4) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":114 * if not facet.upperdelaunay: * # FOREACHvertex_ * if facet.vertices != NULL: # <<<<<<<<<<<<<< * for setIndex in range(facet.vertices.maxsize): * vertex = <_qhull.vertexT *>(facet.vertices.e[setIndex].p) */ __pyx_t_4 = ((__pyx_v_facet->vertices != NULL) != 0); if (__pyx_t_4) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":115 * # FOREACHvertex_ * if facet.vertices != NULL: * for setIndex in range(facet.vertices.maxsize): # <<<<<<<<<<<<<< * vertex = <_qhull.vertexT *>(facet.vertices.e[setIndex].p) * if vertex == NULL: */ __pyx_t_5 = __pyx_v_facet->vertices->maxsize; for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_setIndex = __pyx_t_6; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":116 * if facet.vertices != NULL: * for setIndex in range(facet.vertices.maxsize): * vertex = <_qhull.vertexT *>(facet.vertices.e[setIndex].p) # <<<<<<<<<<<<<< * if vertex == NULL: * break */ __pyx_v_vertex = ((vertexT *)(__pyx_v_facet->vertices->e[__pyx_v_setIndex]).p); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":117 * for setIndex in range(facet.vertices.maxsize): * vertex = <_qhull.vertexT *>(facet.vertices.e[setIndex].p) * if vertex == NULL: # <<<<<<<<<<<<<< * break * c_indices[indicesIndex] = _qhull.qh_pointid(vertex.point) */ __pyx_t_4 = ((__pyx_v_vertex == NULL) != 0); if (__pyx_t_4) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":118 * vertex = <_qhull.vertexT *>(facet.vertices.e[setIndex].p) * if vertex == NULL: * break # <<<<<<<<<<<<<< * c_indices[indicesIndex] = _qhull.qh_pointid(vertex.point) * indicesIndex += 1 */ goto __pyx_L8_break; goto __pyx_L9; } __pyx_L9:; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":119 * if vertex == NULL: * break * c_indices[indicesIndex] = _qhull.qh_pointid(vertex.point) # <<<<<<<<<<<<<< * indicesIndex += 1 * facet = facet.next */ __pyx_t_7 = __pyx_v_indicesIndex; *((unsigned int *) ( /* dim=0 */ (__pyx_v_c_indices.data + __pyx_t_7 * __pyx_v_c_indices.strides[0]) )) = qh_pointid(__pyx_v_vertex->point); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":120 * break * c_indices[indicesIndex] = _qhull.qh_pointid(vertex.point) * indicesIndex += 1 # <<<<<<<<<<<<<< * facet = facet.next * */ __pyx_v_indicesIndex = (__pyx_v_indicesIndex + 1); } __pyx_L8_break:; goto __pyx_L6; } __pyx_L6:; goto __pyx_L5; } __pyx_L5:; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":121 * c_indices[indicesIndex] = _qhull.qh_pointid(vertex.point) * indicesIndex += 1 * facet = facet.next # <<<<<<<<<<<<<< * * # Avoid concurrent use of the qhull library */ __pyx_t_1 = __pyx_v_facet->next; __pyx_v_facet = __pyx_t_1; } __Pyx_RefNannyFinishContext(); } /* Python wrapper */ static PyObject *__pyx_pw_8_qhull32_1delaunay(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ static char __pyx_doc_8_qhull32_delaunay[] = "Delaunay triangulation using qhull library.\n\n :param points: numpy.ndarray of points to triangulate.\n Array must be of dimension 2.\n The second dimension being the dimension of the space.\n :param str command: 'qhull d' command to run\n :returns: Index of simplex facets corners.\n :rtype: numpy.ndarray of uint32 of dimension: nbFacets x (points dim + 1).\n "; static PyMethodDef __pyx_mdef_8_qhull32_1delaunay = {__Pyx_NAMESTR("delaunay"), (PyCFunction)__pyx_pw_8_qhull32_1delaunay, METH_VARARGS|METH_KEYWORDS, __Pyx_DOCSTR(__pyx_doc_8_qhull32_delaunay)}; static PyObject *__pyx_pw_8_qhull32_1delaunay(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyArrayObject *__pyx_v_points = 0; PyObject *__pyx_v_command = 0; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("delaunay (wrapper)", 0); { static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__points,&__pyx_n_s__command,0}; PyObject* values[2] = {0,0}; if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = PyDict_Size(__pyx_kwds); switch (pos_args) { case 0: if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__points)) != 0)) kw_args--; else goto __pyx_L5_argtuple_error; case 1: if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__command)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("delaunay", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } if (unlikely(kw_args > 0)) { if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "delaunay") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } else if (PyTuple_GET_SIZE(__pyx_args) != 2) { goto __pyx_L5_argtuple_error; } else { values[0] = PyTuple_GET_ITEM(__pyx_args, 0); values[1] = PyTuple_GET_ITEM(__pyx_args, 1); } __pyx_v_points = ((PyArrayObject *)values[0]); __pyx_v_command = values[1]; } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("delaunay", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("_qhull32.delaunay", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return NULL; __pyx_L4_argument_unpacking_done:; if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_points), __pyx_ptype_5numpy_ndarray, 1, "points", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = __pyx_pf_8_qhull32_delaunay(__pyx_self, __pyx_v_points, __pyx_v_command); goto __pyx_L0; __pyx_L1_error:; __pyx_r = NULL; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":128 * @cython.boundscheck(False) * @cython.wraparound(False) * def delaunay(numpy.ndarray[_qhull.realT, ndim=2, mode='c'] points, command): # <<<<<<<<<<<<<< * """Delaunay triangulation using qhull library. * */ static PyObject *__pyx_pf_8_qhull32_delaunay(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_points, PyObject *__pyx_v_command) { int __pyx_v_dimension; __Pyx_memviewslice __pyx_v_c_points = { 0, 0, { 0 }, { 0 }, { 0 } }; char *__pyx_v_c_command; int __pyx_v_result; unsigned int __pyx_v_nbFacets; PyObject *__pyx_v_indices = NULL; __Pyx_memviewslice __pyx_v_c_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_LocalBuf_ND __pyx_pybuffernd_points; __Pyx_Buffer __pyx_pybuffer_points; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; __Pyx_memviewslice __pyx_t_4 = { 0, 0, { 0 }, { 0 }, { 0 } }; char *__pyx_t_5; Py_ssize_t __pyx_t_6; Py_ssize_t __pyx_t_7; int __pyx_t_8; PyObject *__pyx_t_9 = NULL; PyObject *__pyx_t_10 = NULL; __Pyx_memviewslice __pyx_t_11 = { 0, 0, { 0 }, { 0 }, { 0 } }; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("delaunay", 0); __pyx_pybuffer_points.pybuffer.buf = NULL; __pyx_pybuffer_points.refcount = 0; __pyx_pybuffernd_points.data = NULL; __pyx_pybuffernd_points.rcbuffer = &__pyx_pybuffer_points; { __Pyx_BufFmt_StackElem __pyx_stack[1]; if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_points.rcbuffer->pybuffer, (PyObject*)__pyx_v_points, &__Pyx_TypeInfo_nn_realT, PyBUF_FORMAT| PyBUF_C_CONTIGUOUS, 2, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_pybuffernd_points.diminfo[0].strides = __pyx_pybuffernd_points.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_points.diminfo[0].shape = __pyx_pybuffernd_points.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_points.diminfo[1].strides = __pyx_pybuffernd_points.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_points.diminfo[1].shape = __pyx_pybuffernd_points.rcbuffer->pybuffer.shape[1]; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":138 * :rtype: numpy.ndarray of uint32 of dimension: nbFacets x (points dim + 1). * """ * cdef int dimension = points.shape[1] # <<<<<<<<<<<<<< * cdef _qhull.coordT[:] c_points = numpy.ravel(points) * cdef char * c_command = command */ __pyx_v_dimension = (__pyx_v_points->dimensions[1]); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":139 * """ * cdef int dimension = points.shape[1] * cdef _qhull.coordT[:] c_points = numpy.ravel(points) # <<<<<<<<<<<<<< * cdef char * c_command = command * */ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 139; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__ravel); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 139; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 139; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_INCREF(((PyObject *)__pyx_v_points)); PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_points)); __Pyx_GIVEREF(((PyObject *)__pyx_v_points)); __pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 139; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_t_4 = __Pyx_PyObject_to_MemoryviewSlice_ds_nn_coordT(__pyx_t_3); if (unlikely(!__pyx_t_4.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 139; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_c_points = __pyx_t_4; __pyx_t_4.memview = NULL; __pyx_t_4.data = NULL; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":140 * cdef int dimension = points.shape[1] * cdef _qhull.coordT[:] c_points = numpy.ravel(points) * cdef char * c_command = command # <<<<<<<<<<<<<< * * #_qhull_lock.acquire() */ __pyx_t_5 = __Pyx_PyObject_AsString(__pyx_v_command); if (unlikely((!__pyx_t_5) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 140; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_c_command = __pyx_t_5; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":144 * #_qhull_lock.acquire() * cdef int result = _qhull.qh_new_qhull(dimension, * len(points), # <<<<<<<<<<<<<< * &c_points[0], * False, */ __pyx_t_6 = PyObject_Length(((PyObject *)__pyx_v_points)); if (unlikely(__pyx_t_6 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 144; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":145 * cdef int result = _qhull.qh_new_qhull(dimension, * len(points), * &c_points[0], # <<<<<<<<<<<<<< * False, * &c_command[0], */ __pyx_t_7 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":149 * &c_command[0], * NULL, * _qhull.stderr) # <<<<<<<<<<<<<< * * if result != _qhull.qh_ERRnone: */ __pyx_v_result = qh_new_qhull(__pyx_v_dimension, __pyx_t_6, (&(*((coordT *) ( /* dim=0 */ (__pyx_v_c_points.data + __pyx_t_7 * __pyx_v_c_points.strides[0]) )))), 0, (&(__pyx_v_c_command[0])), NULL, stderr); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":151 * _qhull.stderr) * * if result != _qhull.qh_ERRnone: # <<<<<<<<<<<<<< * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources * #_qhull_lock.release() */ __pyx_t_8 = ((__pyx_v_result != qh_ERRnone) != 0); if (__pyx_t_8) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":152 * * if result != _qhull.qh_ERRnone: * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources # <<<<<<<<<<<<<< * #_qhull_lock.release() * raise _errors[result] */ qh_freeqhull(qh_ALL); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":154 * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources * #_qhull_lock.release() * raise _errors[result] # <<<<<<<<<<<<<< * * # Get number of facets */ __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s___errors); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 154; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_1 = __Pyx_GetItemInt(__pyx_t_3, __pyx_v_result, sizeof(int), PyInt_FromLong, 0, 0, 0); if (!__pyx_t_1) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 154; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_1, 0, 0, 0); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; {__pyx_filename = __pyx_f[0]; __pyx_lineno = 154; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } __pyx_L3:; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":157 * * # Get number of facets * cdef unsigned int nbFacets = nbDelaunayFacets() # <<<<<<<<<<<<<< * if nbFacets == 0: * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources */ __pyx_v_nbFacets = __pyx_f_8_qhull32_nbDelaunayFacets(); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":158 * # Get number of facets * cdef unsigned int nbFacets = nbDelaunayFacets() * if nbFacets == 0: # <<<<<<<<<<<<<< * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources * #_qhull_lock.release() */ __pyx_t_8 = ((__pyx_v_nbFacets == 0) != 0); if (__pyx_t_8) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":159 * cdef unsigned int nbFacets = nbDelaunayFacets() * if nbFacets == 0: * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources # <<<<<<<<<<<<<< * #_qhull_lock.release() * return numpy.array((), dtype=numpy.uint32) */ qh_freeqhull(qh_ALL); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":161 * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources * #_qhull_lock.release() * return numpy.array((), dtype=numpy.uint32) # <<<<<<<<<<<<<< * * # Get facets' indices */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__array); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s__uint32); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; if (PyDict_SetItem(__pyx_t_1, ((PyObject *)__pyx_n_s__dtype), __pyx_t_9) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __pyx_t_9 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_k_tuple_1), ((PyObject *)__pyx_t_1)); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_r = __pyx_t_9; __pyx_t_9 = 0; goto __pyx_L0; goto __pyx_L4; } __pyx_L4:; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":164 * * # Get facets' indices * indices = numpy.empty((nbFacets, dimension + 1), dtype=numpy.uint32) # <<<<<<<<<<<<<< * cdef unsigned int[:] c_indices = indices.ravel() * setDelaunayIndices(c_indices) */ __pyx_t_9 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s__empty); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __pyx_t_9 = PyLong_FromUnsignedLong(__pyx_v_nbFacets); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __pyx_t_3 = PyInt_FromLong((__pyx_v_dimension + 1)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_9); __Pyx_GIVEREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_9 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_t_2)); __Pyx_GIVEREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __pyx_t_9 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s__uint32); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; if (PyDict_SetItem(__pyx_t_2, ((PyObject *)__pyx_n_s__dtype), __pyx_t_10) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; __pyx_t_10 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_3), ((PyObject *)__pyx_t_2)); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_v_indices = __pyx_t_10; __pyx_t_10 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":165 * # Get facets' indices * indices = numpy.empty((nbFacets, dimension + 1), dtype=numpy.uint32) * cdef unsigned int[:] c_indices = indices.ravel() # <<<<<<<<<<<<<< * setDelaunayIndices(c_indices) * */ __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_indices, __pyx_n_s__ravel); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __pyx_t_2 = PyObject_Call(__pyx_t_10, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; __pyx_t_11 = __Pyx_PyObject_to_MemoryviewSlice_ds_unsigned_int(__pyx_t_2); if (unlikely(!__pyx_t_11.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_v_c_indices = __pyx_t_11; __pyx_t_11.memview = NULL; __pyx_t_11.data = NULL; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":166 * indices = numpy.empty((nbFacets, dimension + 1), dtype=numpy.uint32) * cdef unsigned int[:] c_indices = indices.ravel() * setDelaunayIndices(c_indices) # <<<<<<<<<<<<<< * * # Free qhull resources */ __pyx_f_8_qhull32_setDelaunayIndices(__pyx_v_c_indices); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":169 * * # Free qhull resources * _qhull.qh_freeqhull(_qhull.qh_ALL) # <<<<<<<<<<<<<< * #_qhull_lock.release() * */ qh_freeqhull(qh_ALL); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":172 * #_qhull_lock.release() * * return indices # <<<<<<<<<<<<<< */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_indices); __pyx_r = __pyx_v_indices; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __PYX_XDEC_MEMVIEW(&__pyx_t_4, 1); __Pyx_XDECREF(__pyx_t_9); __Pyx_XDECREF(__pyx_t_10); __PYX_XDEC_MEMVIEW(&__pyx_t_11, 1); { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_points.rcbuffer->pybuffer); __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} __Pyx_AddTraceback("_qhull32.delaunay", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; goto __pyx_L2; __pyx_L0:; __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_points.rcbuffer->pybuffer); __pyx_L2:; __PYX_XDEC_MEMVIEW(&__pyx_v_c_points, 1); __Pyx_XDECREF(__pyx_v_indices); __PYX_XDEC_MEMVIEW(&__pyx_v_c_indices, 1); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); __pyx_r = __pyx_pf_5numpy_7ndarray___getbuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":194 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< * # This implementation of getbuffer is geared towards Cython * # requirements, and does not yet fullfill the PEP. */ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_v_copy_shape; int __pyx_v_i; int __pyx_v_ndim; int __pyx_v_endian_detector; int __pyx_v_little_endian; int __pyx_v_t; char *__pyx_v_f; PyArray_Descr *__pyx_v_descr = 0; int __pyx_v_offset; int __pyx_v_hasfields; int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; PyObject *__pyx_t_4 = NULL; int __pyx_t_5; int __pyx_t_6; int __pyx_t_7; PyObject *__pyx_t_8 = NULL; char *__pyx_t_9; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getbuffer__", 0); if (__pyx_v_info != NULL) { __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); } /* "numpy.pxd":200 * # of flags * * if info == NULL: return # <<<<<<<<<<<<<< * * cdef int copy_shape, i, ndim */ __pyx_t_1 = ((__pyx_v_info == NULL) != 0); if (__pyx_t_1) { __pyx_r = 0; goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "numpy.pxd":203 * * cdef int copy_shape, i, ndim * cdef int endian_detector = 1 # <<<<<<<<<<<<<< * cdef bint little_endian = ((&endian_detector)[0] != 0) * */ __pyx_v_endian_detector = 1; /* "numpy.pxd":204 * cdef int copy_shape, i, ndim * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< * * ndim = PyArray_NDIM(self) */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); /* "numpy.pxd":206 * cdef bint little_endian = ((&endian_detector)[0] != 0) * * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< * * if sizeof(npy_intp) != sizeof(Py_ssize_t): */ __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); /* "numpy.pxd":208 * ndim = PyArray_NDIM(self) * * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< * copy_shape = 1 * else: */ __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { /* "numpy.pxd":209 * * if sizeof(npy_intp) != sizeof(Py_ssize_t): * copy_shape = 1 # <<<<<<<<<<<<<< * else: * copy_shape = 0 */ __pyx_v_copy_shape = 1; goto __pyx_L4; } /*else*/ { /* "numpy.pxd":211 * copy_shape = 1 * else: * copy_shape = 0 # <<<<<<<<<<<<<< * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) */ __pyx_v_copy_shape = 0; } __pyx_L4:; /* "numpy.pxd":213 * copy_shape = 0 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< * and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") */ __pyx_t_1 = (((__pyx_v_flags & PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS) != 0); if (__pyx_t_1) { /* "numpy.pxd":214 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< * raise ValueError(u"ndarray is not C contiguous") * */ __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_C_CONTIGUOUS) != 0)) != 0); __pyx_t_3 = __pyx_t_2; } else { __pyx_t_3 = __pyx_t_1; } if (__pyx_t_3) { /* "numpy.pxd":215 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; /* "numpy.pxd":217 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< * and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") */ __pyx_t_3 = (((__pyx_v_flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS) != 0); if (__pyx_t_3) { /* "numpy.pxd":218 * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< * raise ValueError(u"ndarray is not Fortran contiguous") * */ __pyx_t_1 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_F_CONTIGUOUS) != 0)) != 0); __pyx_t_2 = __pyx_t_1; } else { __pyx_t_2 = __pyx_t_3; } if (__pyx_t_2) { /* "numpy.pxd":219 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< * * info.buf = PyArray_DATA(self) */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; /* "numpy.pxd":221 * raise ValueError(u"ndarray is not Fortran contiguous") * * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< * info.ndim = ndim * if copy_shape: */ __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); /* "numpy.pxd":222 * * info.buf = PyArray_DATA(self) * info.ndim = ndim # <<<<<<<<<<<<<< * if copy_shape: * # Allocate new buffer for strides and shape info. */ __pyx_v_info->ndim = __pyx_v_ndim; /* "numpy.pxd":223 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if copy_shape: # <<<<<<<<<<<<<< * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. */ __pyx_t_2 = (__pyx_v_copy_shape != 0); if (__pyx_t_2) { /* "numpy.pxd":226 * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. * info.strides = stdlib.malloc(sizeof(Py_ssize_t) * ndim * 2) # <<<<<<<<<<<<<< * info.shape = info.strides + ndim * for i in range(ndim): */ __pyx_v_info->strides = ((Py_ssize_t *)malloc((((sizeof(Py_ssize_t)) * ((size_t)__pyx_v_ndim)) * 2))); /* "numpy.pxd":227 * # This is allocated as one block, strides first. * info.strides = stdlib.malloc(sizeof(Py_ssize_t) * ndim * 2) * info.shape = info.strides + ndim # <<<<<<<<<<<<<< * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] */ __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); /* "numpy.pxd":228 * info.strides = stdlib.malloc(sizeof(Py_ssize_t) * ndim * 2) * info.shape = info.strides + ndim * for i in range(ndim): # <<<<<<<<<<<<<< * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] */ __pyx_t_5 = __pyx_v_ndim; for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; /* "numpy.pxd":229 * info.shape = info.strides + ndim * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< * info.shape[i] = PyArray_DIMS(self)[i] * else: */ (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); /* "numpy.pxd":230 * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< * else: * info.strides = PyArray_STRIDES(self) */ (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); } goto __pyx_L7; } /*else*/ { /* "numpy.pxd":232 * info.shape[i] = PyArray_DIMS(self)[i] * else: * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL */ __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); /* "numpy.pxd":233 * else: * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) */ __pyx_v_info->shape = ((Py_ssize_t *)PyArray_DIMS(__pyx_v_self)); } __pyx_L7:; /* "numpy.pxd":234 * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL # <<<<<<<<<<<<<< * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) */ __pyx_v_info->suboffsets = NULL; /* "numpy.pxd":235 * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< * info.readonly = not PyArray_ISWRITEABLE(self) * */ __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); /* "numpy.pxd":236 * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< * * cdef int t */ __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); /* "numpy.pxd":239 * * cdef int t * cdef char* f = NULL # <<<<<<<<<<<<<< * cdef dtype descr = self.descr * cdef list stack */ __pyx_v_f = NULL; /* "numpy.pxd":240 * cdef int t * cdef char* f = NULL * cdef dtype descr = self.descr # <<<<<<<<<<<<<< * cdef list stack * cdef int offset */ __pyx_t_4 = ((PyObject *)__pyx_v_self->descr); __Pyx_INCREF(__pyx_t_4); __pyx_v_descr = ((PyArray_Descr *)__pyx_t_4); __pyx_t_4 = 0; /* "numpy.pxd":244 * cdef int offset * * cdef bint hasfields = PyDataType_HASFIELDS(descr) # <<<<<<<<<<<<<< * * if not hasfields and not copy_shape: */ __pyx_v_hasfields = PyDataType_HASFIELDS(__pyx_v_descr); /* "numpy.pxd":246 * cdef bint hasfields = PyDataType_HASFIELDS(descr) * * if not hasfields and not copy_shape: # <<<<<<<<<<<<<< * # do not call releasebuffer * info.obj = None */ __pyx_t_2 = ((!(__pyx_v_hasfields != 0)) != 0); if (__pyx_t_2) { __pyx_t_3 = ((!(__pyx_v_copy_shape != 0)) != 0); __pyx_t_1 = __pyx_t_3; } else { __pyx_t_1 = __pyx_t_2; } if (__pyx_t_1) { /* "numpy.pxd":248 * if not hasfields and not copy_shape: * # do not call releasebuffer * info.obj = None # <<<<<<<<<<<<<< * else: * # need to call releasebuffer */ __Pyx_INCREF(Py_None); __Pyx_GIVEREF(Py_None); __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = Py_None; goto __pyx_L10; } /*else*/ { /* "numpy.pxd":251 * else: * # need to call releasebuffer * info.obj = self # <<<<<<<<<<<<<< * * if not hasfields: */ __Pyx_INCREF(((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); } __pyx_L10:; /* "numpy.pxd":253 * info.obj = self * * if not hasfields: # <<<<<<<<<<<<<< * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or */ __pyx_t_1 = ((!(__pyx_v_hasfields != 0)) != 0); if (__pyx_t_1) { /* "numpy.pxd":254 * * if not hasfields: * t = descr.type_num # <<<<<<<<<<<<<< * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): */ __pyx_t_5 = __pyx_v_descr->type_num; __pyx_v_t = __pyx_t_5; /* "numpy.pxd":255 * if not hasfields: * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") */ __pyx_t_1 = ((__pyx_v_descr->byteorder == '>') != 0); if (__pyx_t_1) { __pyx_t_2 = (__pyx_v_little_endian != 0); } else { __pyx_t_2 = __pyx_t_1; } if (!__pyx_t_2) { /* "numpy.pxd":256 * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" */ __pyx_t_1 = ((__pyx_v_descr->byteorder == '<') != 0); if (__pyx_t_1) { __pyx_t_3 = ((!(__pyx_v_little_endian != 0)) != 0); __pyx_t_7 = __pyx_t_3; } else { __pyx_t_7 = __pyx_t_1; } __pyx_t_1 = __pyx_t_7; } else { __pyx_t_1 = __pyx_t_2; } if (__pyx_t_1) { /* "numpy.pxd":257 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_7), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L12; } __pyx_L12:; /* "numpy.pxd":274 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) */ switch (__pyx_v_t) { /* "numpy.pxd":258 * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" */ case NPY_BYTE: __pyx_v_f = __pyx_k__b; break; /* "numpy.pxd":259 * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" */ case NPY_UBYTE: __pyx_v_f = __pyx_k__B; break; /* "numpy.pxd":260 * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" */ case NPY_SHORT: __pyx_v_f = __pyx_k__h; break; /* "numpy.pxd":261 * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" */ case NPY_USHORT: __pyx_v_f = __pyx_k__H; break; /* "numpy.pxd":262 * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" */ case NPY_INT: __pyx_v_f = __pyx_k__i; break; /* "numpy.pxd":263 * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" */ case NPY_UINT: __pyx_v_f = __pyx_k__I; break; /* "numpy.pxd":264 * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" */ case NPY_LONG: __pyx_v_f = __pyx_k__l; break; /* "numpy.pxd":265 * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" */ case NPY_ULONG: __pyx_v_f = __pyx_k__L; break; /* "numpy.pxd":266 * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" */ case NPY_LONGLONG: __pyx_v_f = __pyx_k__q; break; /* "numpy.pxd":267 * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" */ case NPY_ULONGLONG: __pyx_v_f = __pyx_k__Q; break; /* "numpy.pxd":268 * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" */ case NPY_FLOAT: __pyx_v_f = __pyx_k__f; break; /* "numpy.pxd":269 * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" */ case NPY_DOUBLE: __pyx_v_f = __pyx_k__d; break; /* "numpy.pxd":270 * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" */ case NPY_LONGDOUBLE: __pyx_v_f = __pyx_k__g; break; /* "numpy.pxd":271 * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" */ case NPY_CFLOAT: __pyx_v_f = __pyx_k__Zf; break; /* "numpy.pxd":272 * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" */ case NPY_CDOUBLE: __pyx_v_f = __pyx_k__Zd; break; /* "numpy.pxd":273 * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< * elif t == NPY_OBJECT: f = "O" * else: */ case NPY_CLONGDOUBLE: __pyx_v_f = __pyx_k__Zg; break; /* "numpy.pxd":274 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) */ case NPY_OBJECT: __pyx_v_f = __pyx_k__O; break; default: /* "numpy.pxd":276 * elif t == NPY_OBJECT: f = "O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< * info.format = f * return */ __pyx_t_4 = PyInt_FromLong(__pyx_v_t); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_8 = PyNumber_Remainder(((PyObject *)__pyx_kp_u_8), __pyx_t_4); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_8)); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_8)); __Pyx_GIVEREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __pyx_t_8 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_Raise(__pyx_t_8, 0, 0, 0); __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} break; } /* "numpy.pxd":277 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f # <<<<<<<<<<<<<< * return * else: */ __pyx_v_info->format = __pyx_v_f; /* "numpy.pxd":278 * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f * return # <<<<<<<<<<<<<< * else: * info.format = stdlib.malloc(_buffer_format_string_len) */ __pyx_r = 0; goto __pyx_L0; goto __pyx_L11; } /*else*/ { /* "numpy.pxd":280 * return * else: * info.format = stdlib.malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 */ __pyx_v_info->format = ((char *)malloc(255)); /* "numpy.pxd":281 * else: * info.format = stdlib.malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< * offset = 0 * f = _util_dtypestring(descr, info.format + 1, */ (__pyx_v_info->format[0]) = '^'; /* "numpy.pxd":282 * info.format = stdlib.malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 # <<<<<<<<<<<<<< * f = _util_dtypestring(descr, info.format + 1, * info.format + _buffer_format_string_len, */ __pyx_v_offset = 0; /* "numpy.pxd":285 * f = _util_dtypestring(descr, info.format + 1, * info.format + _buffer_format_string_len, * &offset) # <<<<<<<<<<<<<< * f[0] = c'\0' # Terminate format string * */ __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 255), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == NULL)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 283; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_f = __pyx_t_9; /* "numpy.pxd":286 * info.format + _buffer_format_string_len, * &offset) * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< * * def __releasebuffer__(ndarray self, Py_buffer* info): */ (__pyx_v_f[0]) = '\x00'; } __pyx_L11:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_8); __Pyx_AddTraceback("numpy.ndarray.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; if (__pyx_v_info != NULL && __pyx_v_info->obj != NULL) { __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = NULL; } goto __pyx_L2; __pyx_L0:; if (__pyx_v_info != NULL && __pyx_v_info->obj == Py_None) { __Pyx_GOTREF(Py_None); __Pyx_DECREF(Py_None); __pyx_v_info->obj = NULL; } __pyx_L2:; __Pyx_XDECREF((PyObject *)__pyx_v_descr); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info); /*proto*/ static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__releasebuffer__ (wrapper)", 0); __pyx_pf_5numpy_7ndarray_2__releasebuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info)); __Pyx_RefNannyFinishContext(); } /* "numpy.pxd":288 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< * if PyArray_HASFIELDS(self): * stdlib.free(info.format) */ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info) { __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("__releasebuffer__", 0); /* "numpy.pxd":289 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< * stdlib.free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): */ __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); if (__pyx_t_1) { /* "numpy.pxd":290 * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): * stdlib.free(info.format) # <<<<<<<<<<<<<< * if sizeof(npy_intp) != sizeof(Py_ssize_t): * stdlib.free(info.strides) */ free(__pyx_v_info->format); goto __pyx_L3; } __pyx_L3:; /* "numpy.pxd":291 * if PyArray_HASFIELDS(self): * stdlib.free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< * stdlib.free(info.strides) * # info.shape was stored after info.strides in the same block */ __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { /* "numpy.pxd":292 * stdlib.free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): * stdlib.free(info.strides) # <<<<<<<<<<<<<< * # info.shape was stored after info.strides in the same block * */ free(__pyx_v_info->strides); goto __pyx_L4; } __pyx_L4:; __Pyx_RefNannyFinishContext(); } /* "numpy.pxd":768 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(1, a) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__pyx_v_a) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0); /* "numpy.pxd":769 * * cdef inline object PyArray_MultiIterNew1(a): * return PyArray_MultiIterNew(1, a) # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew2(a, b): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(1, ((void *)__pyx_v_a)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 769; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew1", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":771 * return PyArray_MultiIterNew(1, a) * * cdef inline object PyArray_MultiIterNew2(a, b): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(2, a, b) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__pyx_v_a, PyObject *__pyx_v_b) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew2", 0); /* "numpy.pxd":772 * * cdef inline object PyArray_MultiIterNew2(a, b): * return PyArray_MultiIterNew(2, a, b) # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew3(a, b, c): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(2, ((void *)__pyx_v_a), ((void *)__pyx_v_b)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 772; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew2", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":774 * return PyArray_MultiIterNew(2, a, b) * * cdef inline object PyArray_MultiIterNew3(a, b, c): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(3, a, b, c) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0); /* "numpy.pxd":775 * * cdef inline object PyArray_MultiIterNew3(a, b, c): * return PyArray_MultiIterNew(3, a, b, c) # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(3, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 775; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew3", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":777 * return PyArray_MultiIterNew(3, a, b, c) * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(4, a, b, c, d) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0); /* "numpy.pxd":778 * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): * return PyArray_MultiIterNew(4, a, b, c, d) # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(4, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 778; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew4", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":780 * return PyArray_MultiIterNew(4, a, b, c, d) * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(5, a, b, c, d, e) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d, PyObject *__pyx_v_e) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0); /* "numpy.pxd":781 * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): * return PyArray_MultiIterNew(5, a, b, c, d, e) # <<<<<<<<<<<<<< * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(5, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d), ((void *)__pyx_v_e)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 781; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew5", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":783 * return PyArray_MultiIterNew(5, a, b, c, d, e) * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< * # Recursive utility function used in __getbuffer__ to get format * # string. The new location in the format string is returned. */ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx_v_descr, char *__pyx_v_f, char *__pyx_v_end, int *__pyx_v_offset) { PyArray_Descr *__pyx_v_child = 0; int __pyx_v_endian_detector; int __pyx_v_little_endian; PyObject *__pyx_v_fields = 0; PyObject *__pyx_v_childname = NULL; PyObject *__pyx_v_new_offset = NULL; PyObject *__pyx_v_t = NULL; char *__pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; Py_ssize_t __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *(*__pyx_t_6)(PyObject *); int __pyx_t_7; int __pyx_t_8; int __pyx_t_9; int __pyx_t_10; long __pyx_t_11; char *__pyx_t_12; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("_util_dtypestring", 0); /* "numpy.pxd":790 * cdef int delta_offset * cdef tuple i * cdef int endian_detector = 1 # <<<<<<<<<<<<<< * cdef bint little_endian = ((&endian_detector)[0] != 0) * cdef tuple fields */ __pyx_v_endian_detector = 1; /* "numpy.pxd":791 * cdef tuple i * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< * cdef tuple fields * */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); /* "numpy.pxd":794 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< * fields = descr.fields[childname] * child, new_offset = fields */ if (unlikely(((PyObject *)__pyx_v_descr->names) == Py_None)) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_1 = ((PyObject *)__pyx_v_descr->names); __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0; for (;;) { if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_3); __pyx_t_2++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3); __pyx_t_3 = 0; /* "numpy.pxd":795 * * for childname in descr.names: * fields = descr.fields[childname] # <<<<<<<<<<<<<< * child, new_offset = fields * */ __pyx_t_3 = PyObject_GetItem(__pyx_v_descr->fields, __pyx_v_childname); if (!__pyx_t_3) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 795; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (!(likely(PyTuple_CheckExact(__pyx_t_3))||((__pyx_t_3) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected tuple, got %.200s", Py_TYPE(__pyx_t_3)->tp_name), 0))) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 795; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3)); __pyx_t_3 = 0; /* "numpy.pxd":796 * for childname in descr.names: * fields = descr.fields[childname] * child, new_offset = fields # <<<<<<<<<<<<<< * * if (end - f) - (new_offset - offset[0]) < 15: */ if (likely(PyTuple_CheckExact(((PyObject *)__pyx_v_fields)))) { PyObject* sequence = ((PyObject *)__pyx_v_fields); #if CYTHON_COMPILING_IN_CPYTHON Py_ssize_t size = Py_SIZE(sequence); #else Py_ssize_t size = PySequence_Size(sequence); #endif if (unlikely(size != 2)) { if (size > 2) __Pyx_RaiseTooManyValuesError(2); else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); __pyx_t_4 = PyTuple_GET_ITEM(sequence, 1); __Pyx_INCREF(__pyx_t_3); __Pyx_INCREF(__pyx_t_4); #else __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); #endif } else if (1) { __Pyx_RaiseNoneNotIterableError(); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else { Py_ssize_t index = -1; __pyx_t_5 = PyObject_GetIter(((PyObject *)__pyx_v_fields)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_6 = Py_TYPE(__pyx_t_5)->tp_iternext; index = 0; __pyx_t_3 = __pyx_t_6(__pyx_t_5); if (unlikely(!__pyx_t_3)) goto __pyx_L5_unpacking_failed; __Pyx_GOTREF(__pyx_t_3); index = 1; __pyx_t_4 = __pyx_t_6(__pyx_t_5); if (unlikely(!__pyx_t_4)) goto __pyx_L5_unpacking_failed; __Pyx_GOTREF(__pyx_t_4); if (__Pyx_IternextUnpackEndCheck(__pyx_t_6(__pyx_t_5), 2) < 0) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = NULL; __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; goto __pyx_L6_unpacking_done; __pyx_L5_unpacking_failed:; __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_6 = NULL; if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_L6_unpacking_done:; } if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_dtype))))) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_XDECREF_SET(__pyx_v_child, ((PyArray_Descr *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4); __pyx_t_4 = 0; /* "numpy.pxd":798 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * */ __pyx_t_4 = PyInt_FromLong((__pyx_v_end - __pyx_v_f)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_3 = PyInt_FromLong((__pyx_v_offset[0])); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyNumber_Subtract(__pyx_v_new_offset, __pyx_t_3); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyNumber_Subtract(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_5 = PyObject_RichCompare(__pyx_t_3, __pyx_int_15, Py_LT); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { /* "numpy.pxd":799 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< * * if ((child.byteorder == c'>' and little_endian) or */ __pyx_t_5 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_10), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_Raise(__pyx_t_5, 0, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; /* "numpy.pxd":801 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") */ __pyx_t_7 = ((__pyx_v_child->byteorder == '>') != 0); if (__pyx_t_7) { __pyx_t_8 = (__pyx_v_little_endian != 0); } else { __pyx_t_8 = __pyx_t_7; } if (!__pyx_t_8) { /* "numpy.pxd":802 * * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< * raise ValueError(u"Non-native byte order not supported") * # One could encode it in the format string and have Cython */ __pyx_t_7 = ((__pyx_v_child->byteorder == '<') != 0); if (__pyx_t_7) { __pyx_t_9 = ((!(__pyx_v_little_endian != 0)) != 0); __pyx_t_10 = __pyx_t_9; } else { __pyx_t_10 = __pyx_t_7; } __pyx_t_7 = __pyx_t_10; } else { __pyx_t_7 = __pyx_t_8; } if (__pyx_t_7) { /* "numpy.pxd":803 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< * # One could encode it in the format string and have Cython * # complain instead, BUT: < and > in format strings also imply */ __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_11), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 803; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_Raise(__pyx_t_5, 0, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 803; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; /* "numpy.pxd":813 * * # Output padding bytes * while offset[0] < new_offset: # <<<<<<<<<<<<<< * f[0] = 120 # "x"; pad byte * f += 1 */ while (1) { __pyx_t_5 = PyInt_FromLong((__pyx_v_offset[0])); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 813; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_t_5, __pyx_v_new_offset, Py_LT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 813; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 813; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (!__pyx_t_7) break; /* "numpy.pxd":814 * # Output padding bytes * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< * f += 1 * offset[0] += 1 */ (__pyx_v_f[0]) = 120; /* "numpy.pxd":815 * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte * f += 1 # <<<<<<<<<<<<<< * offset[0] += 1 * */ __pyx_v_f = (__pyx_v_f + 1); /* "numpy.pxd":816 * f[0] = 120 # "x"; pad byte * f += 1 * offset[0] += 1 # <<<<<<<<<<<<<< * * offset[0] += child.itemsize */ __pyx_t_11 = 0; (__pyx_v_offset[__pyx_t_11]) = ((__pyx_v_offset[__pyx_t_11]) + 1); } /* "numpy.pxd":818 * offset[0] += 1 * * offset[0] += child.itemsize # <<<<<<<<<<<<<< * * if not PyDataType_HASFIELDS(child): */ __pyx_t_11 = 0; (__pyx_v_offset[__pyx_t_11]) = ((__pyx_v_offset[__pyx_t_11]) + __pyx_v_child->elsize); /* "numpy.pxd":820 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< * t = child.type_num * if end - f < 5: */ __pyx_t_7 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); if (__pyx_t_7) { /* "numpy.pxd":821 * * if not PyDataType_HASFIELDS(child): * t = child.type_num # <<<<<<<<<<<<<< * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") */ __pyx_t_3 = PyInt_FromLong(__pyx_v_child->type_num); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 821; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_3); __pyx_t_3 = 0; /* "numpy.pxd":822 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< * raise RuntimeError(u"Format string allocated too short.") * */ __pyx_t_7 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); if (__pyx_t_7) { /* "numpy.pxd":823 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< * * # Until ticket #99 is fixed, use integers to avoid warnings */ __pyx_t_3 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_13), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L12; } __pyx_L12:; /* "numpy.pxd":826 * * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" */ __pyx_t_3 = PyInt_FromLong(NPY_BYTE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 98; goto __pyx_L13; } /* "numpy.pxd":827 * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" */ __pyx_t_5 = PyInt_FromLong(NPY_UBYTE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 66; goto __pyx_L13; } /* "numpy.pxd":828 * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" */ __pyx_t_3 = PyInt_FromLong(NPY_SHORT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 104; goto __pyx_L13; } /* "numpy.pxd":829 * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" */ __pyx_t_5 = PyInt_FromLong(NPY_USHORT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 72; goto __pyx_L13; } /* "numpy.pxd":830 * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" */ __pyx_t_3 = PyInt_FromLong(NPY_INT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 105; goto __pyx_L13; } /* "numpy.pxd":831 * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" */ __pyx_t_5 = PyInt_FromLong(NPY_UINT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 73; goto __pyx_L13; } /* "numpy.pxd":832 * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" */ __pyx_t_3 = PyInt_FromLong(NPY_LONG); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 108; goto __pyx_L13; } /* "numpy.pxd":833 * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" */ __pyx_t_5 = PyInt_FromLong(NPY_ULONG); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 76; goto __pyx_L13; } /* "numpy.pxd":834 * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" */ __pyx_t_3 = PyInt_FromLong(NPY_LONGLONG); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 113; goto __pyx_L13; } /* "numpy.pxd":835 * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" */ __pyx_t_5 = PyInt_FromLong(NPY_ULONGLONG); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 81; goto __pyx_L13; } /* "numpy.pxd":836 * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" */ __pyx_t_3 = PyInt_FromLong(NPY_FLOAT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 102; goto __pyx_L13; } /* "numpy.pxd":837 * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf */ __pyx_t_5 = PyInt_FromLong(NPY_DOUBLE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 100; goto __pyx_L13; } /* "numpy.pxd":838 * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd */ __pyx_t_3 = PyInt_FromLong(NPY_LONGDOUBLE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 103; goto __pyx_L13; } /* "numpy.pxd":839 * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg */ __pyx_t_5 = PyInt_FromLong(NPY_CFLOAT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 90; (__pyx_v_f[1]) = 102; __pyx_v_f = (__pyx_v_f + 1); goto __pyx_L13; } /* "numpy.pxd":840 * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" */ __pyx_t_3 = PyInt_FromLong(NPY_CDOUBLE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 90; (__pyx_v_f[1]) = 100; __pyx_v_f = (__pyx_v_f + 1); goto __pyx_L13; } /* "numpy.pxd":841 * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: */ __pyx_t_5 = PyInt_FromLong(NPY_CLONGDOUBLE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 841; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 841; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 841; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 90; (__pyx_v_f[1]) = 103; __pyx_v_f = (__pyx_v_f + 1); goto __pyx_L13; } /* "numpy.pxd":842 * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) */ __pyx_t_3 = PyInt_FromLong(NPY_OBJECT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 842; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 842; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 842; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 79; goto __pyx_L13; } /*else*/ { /* "numpy.pxd":844 * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< * f += 1 * else: */ __pyx_t_5 = PyNumber_Remainder(((PyObject *)__pyx_kp_u_8), __pyx_v_t); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_t_5)); __Pyx_GIVEREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_5, 0, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L13:; /* "numpy.pxd":845 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * f += 1 # <<<<<<<<<<<<<< * else: * # Cython ignores struct boundary information ("T{...}"), */ __pyx_v_f = (__pyx_v_f + 1); goto __pyx_L11; } /*else*/ { /* "numpy.pxd":849 * # Cython ignores struct boundary information ("T{...}"), * # so don't output it * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< * return f * */ __pyx_t_12 = __pyx_f_5numpy__util_dtypestring(__pyx_v_child, __pyx_v_f, __pyx_v_end, __pyx_v_offset); if (unlikely(__pyx_t_12 == NULL)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 849; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_f = __pyx_t_12; } __pyx_L11:; } __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "numpy.pxd":850 * # so don't output it * f = _util_dtypestring(child, f, end, offset) * return f # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_f; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("numpy._util_dtypestring", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_child); __Pyx_XDECREF(__pyx_v_fields); __Pyx_XDECREF(__pyx_v_childname); __Pyx_XDECREF(__pyx_v_new_offset); __Pyx_XDECREF(__pyx_v_t); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":965 * * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< * cdef PyObject* baseptr * if base is None: */ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_arr, PyObject *__pyx_v_base) { PyObject *__pyx_v_baseptr; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; __Pyx_RefNannySetupContext("set_array_base", 0); /* "numpy.pxd":967 * cdef inline void set_array_base(ndarray arr, object base): * cdef PyObject* baseptr * if base is None: # <<<<<<<<<<<<<< * baseptr = NULL * else: */ __pyx_t_1 = (__pyx_v_base == Py_None); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "numpy.pxd":968 * cdef PyObject* baseptr * if base is None: * baseptr = NULL # <<<<<<<<<<<<<< * else: * Py_INCREF(base) # important to do this before decref below! */ __pyx_v_baseptr = NULL; goto __pyx_L3; } /*else*/ { /* "numpy.pxd":970 * baseptr = NULL * else: * Py_INCREF(base) # important to do this before decref below! # <<<<<<<<<<<<<< * baseptr = base * Py_XDECREF(arr.base) */ Py_INCREF(__pyx_v_base); /* "numpy.pxd":971 * else: * Py_INCREF(base) # important to do this before decref below! * baseptr = base # <<<<<<<<<<<<<< * Py_XDECREF(arr.base) * arr.base = baseptr */ __pyx_v_baseptr = ((PyObject *)__pyx_v_base); } __pyx_L3:; /* "numpy.pxd":972 * Py_INCREF(base) # important to do this before decref below! * baseptr = base * Py_XDECREF(arr.base) # <<<<<<<<<<<<<< * arr.base = baseptr * */ Py_XDECREF(__pyx_v_arr->base); /* "numpy.pxd":973 * baseptr = base * Py_XDECREF(arr.base) * arr.base = baseptr # <<<<<<<<<<<<<< * * cdef inline object get_array_base(ndarray arr): */ __pyx_v_arr->base = __pyx_v_baseptr; __Pyx_RefNannyFinishContext(); } /* "numpy.pxd":975 * arr.base = baseptr * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< * if arr.base is NULL: * return None */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__pyx_v_arr) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("get_array_base", 0); /* "numpy.pxd":976 * * cdef inline object get_array_base(ndarray arr): * if arr.base is NULL: # <<<<<<<<<<<<<< * return None * else: */ __pyx_t_1 = ((__pyx_v_arr->base == NULL) != 0); if (__pyx_t_1) { /* "numpy.pxd":977 * cdef inline object get_array_base(ndarray arr): * if arr.base is NULL: * return None # <<<<<<<<<<<<<< * else: * return arr.base */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(Py_None); __pyx_r = Py_None; goto __pyx_L0; goto __pyx_L3; } /*else*/ { /* "numpy.pxd":979 * return None * else: * return arr.base # <<<<<<<<<<<<<< */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_arr->base)); __pyx_r = ((PyObject *)__pyx_v_arr->base); goto __pyx_L0; } __pyx_L3:; __pyx_r = Py_None; __Pyx_INCREF(Py_None); __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_shape = 0; Py_ssize_t __pyx_v_itemsize; PyObject *__pyx_v_format = 0; PyObject *__pyx_v_mode = 0; int __pyx_v_allocate_buffer; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__cinit__ (wrapper)", 0); { static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__shape,&__pyx_n_s__itemsize,&__pyx_n_s__format,&__pyx_n_s__mode,&__pyx_n_s__allocate_buffer,0}; PyObject* values[5] = {0,0,0,0,0}; values[3] = ((PyObject *)__pyx_n_u__c); if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = PyDict_Size(__pyx_kwds); switch (pos_args) { case 0: if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__shape)) != 0)) kw_args--; else goto __pyx_L5_argtuple_error; case 1: if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__itemsize)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, 1); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 2: if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__format)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, 2); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 3: if (kw_args > 0) { PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__mode); if (value) { values[3] = value; kw_args--; } } case 4: if (kw_args > 0) { PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__allocate_buffer); if (value) { values[4] = value; kw_args--; } } } if (unlikely(kw_args > 0)) { if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } else { switch (PyTuple_GET_SIZE(__pyx_args)) { case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); values[1] = PyTuple_GET_ITEM(__pyx_args, 1); values[0] = PyTuple_GET_ITEM(__pyx_args, 0); break; default: goto __pyx_L5_argtuple_error; } } __pyx_v_shape = ((PyObject*)values[0]); __pyx_v_itemsize = __Pyx_PyIndex_AsSsize_t(values[1]); if (unlikely((__pyx_v_itemsize == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_v_format = values[2]; __pyx_v_mode = values[3]; if (values[4]) { __pyx_v_allocate_buffer = __Pyx_PyObject_IsTrue(values[4]); if (unlikely((__pyx_v_allocate_buffer == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 114; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } else { /* "View.MemoryView":114 * * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, * mode=u"c", bint allocate_buffer=True): # <<<<<<<<<<<<<< * * cdef int idx */ __pyx_v_allocate_buffer = ((int)1); } } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("View.MemoryView.array.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return -1; __pyx_L4_argument_unpacking_done:; if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_shape), (&PyTuple_Type), 1, "shape", 1))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (unlikely(((PyObject *)__pyx_v_format) == Py_None)) { PyErr_Format(PyExc_TypeError, "Argument 'format' must not be None"); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_r = __pyx_array_MemoryView_5array___cinit__(((struct __pyx_array_obj *)__pyx_v_self), __pyx_v_shape, __pyx_v_itemsize, __pyx_v_format, __pyx_v_mode, __pyx_v_allocate_buffer); goto __pyx_L0; __pyx_L1_error:; __pyx_r = -1; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":113 * cdef bint dtype_is_object * * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< * mode=u"c", bint allocate_buffer=True): * */ static int __pyx_array_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer) { int __pyx_v_idx; Py_ssize_t __pyx_v_i; PyObject **__pyx_v_p; PyObject *__pyx_v_encode = NULL; PyObject *__pyx_v_dim = NULL; char __pyx_v_order; PyObject *__pyx_v_decode = NULL; int __pyx_r; __Pyx_RefNannyDeclarations Py_ssize_t __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; char *__pyx_t_4; int __pyx_t_5; int __pyx_t_6; int __pyx_t_7; PyObject *__pyx_t_8 = NULL; PyObject *__pyx_t_9 = NULL; Py_ssize_t __pyx_t_10; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__cinit__", 0); __Pyx_INCREF(__pyx_v_format); __Pyx_INCREF(__pyx_v_mode); /* "View.MemoryView":120 * cdef PyObject **p * * self.ndim = len(shape) # <<<<<<<<<<<<<< * self.itemsize = itemsize * */ if (unlikely(((PyObject *)__pyx_v_shape) == Py_None)) { PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 120; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_1 = PyTuple_GET_SIZE(((PyObject *)__pyx_v_shape)); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 120; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_self->ndim = __pyx_t_1; /* "View.MemoryView":121 * * self.ndim = len(shape) * self.itemsize = itemsize # <<<<<<<<<<<<<< * * if not self.ndim: */ __pyx_v_self->itemsize = __pyx_v_itemsize; /* "View.MemoryView":123 * self.itemsize = itemsize * * if not self.ndim: # <<<<<<<<<<<<<< * raise ValueError("Empty shape tuple for cython.array") * */ __pyx_t_2 = ((!(__pyx_v_self->ndim != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":124 * * if not self.ndim: * raise ValueError("Empty shape tuple for cython.array") # <<<<<<<<<<<<<< * * if self.itemsize <= 0: */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_15), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":126 * raise ValueError("Empty shape tuple for cython.array") * * if self.itemsize <= 0: # <<<<<<<<<<<<<< * raise ValueError("itemsize <= 0 for cython.array") * */ __pyx_t_2 = ((__pyx_v_self->itemsize <= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":127 * * if self.itemsize <= 0: * raise ValueError("itemsize <= 0 for cython.array") # <<<<<<<<<<<<<< * * encode = getattr(format, 'encode', None) */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_17), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 127; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 127; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":129 * raise ValueError("itemsize <= 0 for cython.array") * * encode = getattr(format, 'encode', None) # <<<<<<<<<<<<<< * if encode: * format = encode('ASCII') */ __pyx_t_3 = __Pyx_GetAttr3(__pyx_v_format, ((PyObject *)__pyx_n_s__encode), Py_None); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 129; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_encode = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":130 * * encode = getattr(format, 'encode', None) * if encode: # <<<<<<<<<<<<<< * format = encode('ASCII') * self._format = format */ __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_encode); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_2) { /* "View.MemoryView":131 * encode = getattr(format, 'encode', None) * if encode: * format = encode('ASCII') # <<<<<<<<<<<<<< * self._format = format * self.format = self._format */ __pyx_t_3 = PyObject_Call(__pyx_v_encode, ((PyObject *)__pyx_k_tuple_18), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 131; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF_SET(__pyx_v_format, __pyx_t_3); __pyx_t_3 = 0; goto __pyx_L5; } __pyx_L5:; /* "View.MemoryView":132 * if encode: * format = encode('ASCII') * self._format = format # <<<<<<<<<<<<<< * self.format = self._format * */ if (!(likely(PyBytes_CheckExact(__pyx_v_format))||((__pyx_v_format) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected bytes, got %.200s", Py_TYPE(__pyx_v_format)->tp_name), 0))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 132; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_INCREF(__pyx_v_format); __Pyx_GIVEREF(__pyx_v_format); __Pyx_GOTREF(__pyx_v_self->_format); __Pyx_DECREF(((PyObject *)__pyx_v_self->_format)); __pyx_v_self->_format = ((PyObject*)__pyx_v_format); /* "View.MemoryView":133 * format = encode('ASCII') * self._format = format * self.format = self._format # <<<<<<<<<<<<<< * * self._shape = malloc(sizeof(Py_ssize_t)*self.ndim) */ __pyx_t_4 = __Pyx_PyObject_AsString(((PyObject *)__pyx_v_self->_format)); if (unlikely((!__pyx_t_4) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_self->format = __pyx_t_4; /* "View.MemoryView":135 * self.format = self._format * * self._shape = malloc(sizeof(Py_ssize_t)*self.ndim) # <<<<<<<<<<<<<< * self._strides = malloc(sizeof(Py_ssize_t)*self.ndim) * */ __pyx_v_self->_shape = ((Py_ssize_t *)malloc(((sizeof(Py_ssize_t)) * __pyx_v_self->ndim))); /* "View.MemoryView":136 * * self._shape = malloc(sizeof(Py_ssize_t)*self.ndim) * self._strides = malloc(sizeof(Py_ssize_t)*self.ndim) # <<<<<<<<<<<<<< * * if not self._shape or not self._strides: */ __pyx_v_self->_strides = ((Py_ssize_t *)malloc(((sizeof(Py_ssize_t)) * __pyx_v_self->ndim))); /* "View.MemoryView":138 * self._strides = malloc(sizeof(Py_ssize_t)*self.ndim) * * if not self._shape or not self._strides: # <<<<<<<<<<<<<< * free(self._shape) * free(self._strides) */ __pyx_t_2 = ((!(__pyx_v_self->_shape != 0)) != 0); if (!__pyx_t_2) { __pyx_t_5 = ((!(__pyx_v_self->_strides != 0)) != 0); __pyx_t_6 = __pyx_t_5; } else { __pyx_t_6 = __pyx_t_2; } if (__pyx_t_6) { /* "View.MemoryView":139 * * if not self._shape or not self._strides: * free(self._shape) # <<<<<<<<<<<<<< * free(self._strides) * raise MemoryError("unable to allocate shape or strides.") */ free(__pyx_v_self->_shape); /* "View.MemoryView":140 * if not self._shape or not self._strides: * free(self._shape) * free(self._strides) # <<<<<<<<<<<<<< * raise MemoryError("unable to allocate shape or strides.") * */ free(__pyx_v_self->_strides); /* "View.MemoryView":141 * free(self._shape) * free(self._strides) * raise MemoryError("unable to allocate shape or strides.") # <<<<<<<<<<<<<< * * */ __pyx_t_3 = PyObject_Call(__pyx_builtin_MemoryError, ((PyObject *)__pyx_k_tuple_20), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 141; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 141; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; /* "View.MemoryView":144 * * * idx = 0 # <<<<<<<<<<<<<< * for idx, dim in enumerate(shape): * if dim <= 0: */ __pyx_v_idx = 0; /* "View.MemoryView":145 * * idx = 0 * for idx, dim in enumerate(shape): # <<<<<<<<<<<<<< * if dim <= 0: * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) */ __pyx_t_7 = 0; __pyx_t_3 = ((PyObject *)__pyx_v_shape); __Pyx_INCREF(__pyx_t_3); __pyx_t_1 = 0; for (;;) { if (__pyx_t_1 >= PyTuple_GET_SIZE(__pyx_t_3)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_8 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_1); __Pyx_INCREF(__pyx_t_8); __pyx_t_1++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 145; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_8 = PySequence_ITEM(__pyx_t_3, __pyx_t_1); __pyx_t_1++; if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 145; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif __Pyx_XDECREF_SET(__pyx_v_dim, __pyx_t_8); __pyx_t_8 = 0; __pyx_v_idx = __pyx_t_7; __pyx_t_7 = (__pyx_t_7 + 1); /* "View.MemoryView":146 * idx = 0 * for idx, dim in enumerate(shape): * if dim <= 0: # <<<<<<<<<<<<<< * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) * */ __pyx_t_8 = PyObject_RichCompare(__pyx_v_dim, __pyx_int_0, Py_LE); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 146; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 146; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; if (__pyx_t_6) { /* "View.MemoryView":147 * for idx, dim in enumerate(shape): * if dim <= 0: * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) # <<<<<<<<<<<<<< * * self._shape[idx] = dim */ __pyx_t_8 = PyInt_FromLong(__pyx_v_idx); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __pyx_t_9 = PyTuple_New(2); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_8); __Pyx_GIVEREF(__pyx_t_8); __Pyx_INCREF(__pyx_v_dim); PyTuple_SET_ITEM(__pyx_t_9, 1, __pyx_v_dim); __Pyx_GIVEREF(__pyx_v_dim); __pyx_t_8 = 0; __pyx_t_8 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_21), ((PyObject *)__pyx_t_9)); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_8)); __Pyx_DECREF(((PyObject *)__pyx_t_9)); __pyx_t_9 = 0; __pyx_t_9 = PyTuple_New(1); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_9, 0, ((PyObject *)__pyx_t_8)); __Pyx_GIVEREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __pyx_t_8 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_9), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __Pyx_DECREF(((PyObject *)__pyx_t_9)); __pyx_t_9 = 0; __Pyx_Raise(__pyx_t_8, 0, 0, 0); __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L9; } __pyx_L9:; /* "View.MemoryView":149 * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) * * self._shape[idx] = dim # <<<<<<<<<<<<<< * idx += 1 * */ __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_v_dim); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;} (__pyx_v_self->_shape[__pyx_v_idx]) = __pyx_t_10; /* "View.MemoryView":150 * * self._shape[idx] = dim * idx += 1 # <<<<<<<<<<<<<< * * if mode not in ("fortran", "c"): */ __pyx_v_idx = (__pyx_v_idx + 1); } __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":152 * idx += 1 * * if mode not in ("fortran", "c"): # <<<<<<<<<<<<<< * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) * */ __Pyx_INCREF(__pyx_v_mode); __pyx_t_3 = __pyx_v_mode; __pyx_t_8 = PyObject_RichCompare(__pyx_t_3, ((PyObject *)__pyx_n_s__fortran), Py_NE); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely((__pyx_t_6 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; if (((int)__pyx_t_6)) { __pyx_t_8 = PyObject_RichCompare(__pyx_t_3, ((PyObject *)__pyx_n_s__c), Py_NE); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; __pyx_t_5 = ((int)__pyx_t_2); } else { __pyx_t_5 = ((int)__pyx_t_6); } __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_6 = (__pyx_t_5 != 0); if (__pyx_t_6) { /* "View.MemoryView":153 * * if mode not in ("fortran", "c"): * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) # <<<<<<<<<<<<<< * * cdef char order */ __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_22), __pyx_v_mode); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __pyx_t_8 = PyTuple_New(1); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_8, 0, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_8), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L10; } __pyx_L10:; /* "View.MemoryView":156 * * cdef char order * if mode == 'fortran': # <<<<<<<<<<<<<< * order = 'F' * else: */ __pyx_t_3 = PyObject_RichCompare(__pyx_v_mode, ((PyObject *)__pyx_n_s__fortran), Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 156; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 156; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_6) { /* "View.MemoryView":157 * cdef char order * if mode == 'fortran': * order = 'F' # <<<<<<<<<<<<<< * else: * order = 'C' */ __pyx_v_order = 'F'; goto __pyx_L11; } /*else*/ { /* "View.MemoryView":159 * order = 'F' * else: * order = 'C' # <<<<<<<<<<<<<< * * self.len = fill_contig_strides_array(self._shape, self._strides, */ __pyx_v_order = 'C'; } __pyx_L11:; /* "View.MemoryView":161 * order = 'C' * * self.len = fill_contig_strides_array(self._shape, self._strides, # <<<<<<<<<<<<<< * itemsize, self.ndim, order) * */ __pyx_v_self->len = __pyx_fill_contig_strides_array(__pyx_v_self->_shape, __pyx_v_self->_strides, __pyx_v_itemsize, __pyx_v_self->ndim, __pyx_v_order); /* "View.MemoryView":164 * itemsize, self.ndim, order) * * decode = getattr(mode, 'decode', None) # <<<<<<<<<<<<<< * if decode: * mode = decode('ASCII') */ __pyx_t_3 = __Pyx_GetAttr3(__pyx_v_mode, ((PyObject *)__pyx_n_s__decode), Py_None); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_decode = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":165 * * decode = getattr(mode, 'decode', None) * if decode: # <<<<<<<<<<<<<< * mode = decode('ASCII') * self.mode = mode */ __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_v_decode); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_6) { /* "View.MemoryView":166 * decode = getattr(mode, 'decode', None) * if decode: * mode = decode('ASCII') # <<<<<<<<<<<<<< * self.mode = mode * */ __pyx_t_3 = PyObject_Call(__pyx_v_decode, ((PyObject *)__pyx_k_tuple_23), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 166; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF_SET(__pyx_v_mode, __pyx_t_3); __pyx_t_3 = 0; goto __pyx_L12; } __pyx_L12:; /* "View.MemoryView":167 * if decode: * mode = decode('ASCII') * self.mode = mode # <<<<<<<<<<<<<< * * self.free_data = allocate_buffer */ if (!(likely(PyUnicode_CheckExact(__pyx_v_mode))||((__pyx_v_mode) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected unicode, got %.200s", Py_TYPE(__pyx_v_mode)->tp_name), 0))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 167; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_INCREF(__pyx_v_mode); __Pyx_GIVEREF(__pyx_v_mode); __Pyx_GOTREF(__pyx_v_self->mode); __Pyx_DECREF(((PyObject *)__pyx_v_self->mode)); __pyx_v_self->mode = ((PyObject*)__pyx_v_mode); /* "View.MemoryView":169 * self.mode = mode * * self.free_data = allocate_buffer # <<<<<<<<<<<<<< * self.dtype_is_object = format == b'O' * if allocate_buffer: */ __pyx_v_self->free_data = __pyx_v_allocate_buffer; /* "View.MemoryView":170 * * self.free_data = allocate_buffer * self.dtype_is_object = format == b'O' # <<<<<<<<<<<<<< * if allocate_buffer: * self.data = malloc(self.len) */ __pyx_t_3 = PyObject_RichCompare(__pyx_v_format, ((PyObject *)__pyx_n_b__O), Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 170; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_6 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 170; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_self->dtype_is_object = __pyx_t_6; /* "View.MemoryView":171 * self.free_data = allocate_buffer * self.dtype_is_object = format == b'O' * if allocate_buffer: # <<<<<<<<<<<<<< * self.data = malloc(self.len) * if not self.data: */ __pyx_t_6 = (__pyx_v_allocate_buffer != 0); if (__pyx_t_6) { /* "View.MemoryView":172 * self.dtype_is_object = format == b'O' * if allocate_buffer: * self.data = malloc(self.len) # <<<<<<<<<<<<<< * if not self.data: * raise MemoryError("unable to allocate array data.") */ __pyx_v_self->data = ((char *)malloc(__pyx_v_self->len)); /* "View.MemoryView":173 * if allocate_buffer: * self.data = malloc(self.len) * if not self.data: # <<<<<<<<<<<<<< * raise MemoryError("unable to allocate array data.") * */ __pyx_t_6 = ((!(__pyx_v_self->data != 0)) != 0); if (__pyx_t_6) { /* "View.MemoryView":174 * self.data = malloc(self.len) * if not self.data: * raise MemoryError("unable to allocate array data.") # <<<<<<<<<<<<<< * * if self.dtype_is_object: */ __pyx_t_3 = PyObject_Call(__pyx_builtin_MemoryError, ((PyObject *)__pyx_k_tuple_25), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 174; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 174; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L14; } __pyx_L14:; /* "View.MemoryView":176 * raise MemoryError("unable to allocate array data.") * * if self.dtype_is_object: # <<<<<<<<<<<<<< * p = self.data * for i in range(self.len / itemsize): */ __pyx_t_6 = (__pyx_v_self->dtype_is_object != 0); if (__pyx_t_6) { /* "View.MemoryView":177 * * if self.dtype_is_object: * p = self.data # <<<<<<<<<<<<<< * for i in range(self.len / itemsize): * p[i] = Py_None */ __pyx_v_p = ((PyObject **)__pyx_v_self->data); /* "View.MemoryView":178 * if self.dtype_is_object: * p = self.data * for i in range(self.len / itemsize): # <<<<<<<<<<<<<< * p[i] = Py_None * Py_INCREF(Py_None) */ if (unlikely(__pyx_v_itemsize == 0)) { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif PyErr_Format(PyExc_ZeroDivisionError, "integer division or modulo by zero"); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif {__pyx_filename = __pyx_f[2]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else if (sizeof(Py_ssize_t) == sizeof(long) && unlikely(__pyx_v_itemsize == -1) && unlikely(UNARY_NEG_WOULD_OVERFLOW(__pyx_v_self->len))) { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif PyErr_Format(PyExc_OverflowError, "value too large to perform division"); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif {__pyx_filename = __pyx_f[2]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_1 = __Pyx_div_Py_ssize_t(__pyx_v_self->len, __pyx_v_itemsize); for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_1; __pyx_t_10+=1) { __pyx_v_i = __pyx_t_10; /* "View.MemoryView":179 * p = self.data * for i in range(self.len / itemsize): * p[i] = Py_None # <<<<<<<<<<<<<< * Py_INCREF(Py_None) * */ (__pyx_v_p[__pyx_v_i]) = Py_None; /* "View.MemoryView":180 * for i in range(self.len / itemsize): * p[i] = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< * * @cname('getbuffer') */ Py_INCREF(Py_None); } goto __pyx_L15; } __pyx_L15:; goto __pyx_L13; } __pyx_L13:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_8); __Pyx_XDECREF(__pyx_t_9); __Pyx_AddTraceback("View.MemoryView.array.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_XDECREF(__pyx_v_encode); __Pyx_XDECREF(__pyx_v_dim); __Pyx_XDECREF(__pyx_v_decode); __Pyx_XDECREF(__pyx_v_format); __Pyx_XDECREF(__pyx_v_mode); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); __pyx_r = __pyx_array_getbuffer_MemoryView_5array_2__getbuffer__(((struct __pyx_array_obj *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":183 * * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< * cdef int bufmode = -1 * if self.mode == b"c": */ static int __pyx_array_getbuffer_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_v_bufmode; int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; char *__pyx_t_4; Py_ssize_t __pyx_t_5; int __pyx_t_6; Py_ssize_t *__pyx_t_7; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getbuffer__", 0); if (__pyx_v_info != NULL) { __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); } /* "View.MemoryView":184 * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): * cdef int bufmode = -1 # <<<<<<<<<<<<<< * if self.mode == b"c": * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS */ __pyx_v_bufmode = -1; /* "View.MemoryView":185 * def __getbuffer__(self, Py_buffer *info, int flags): * cdef int bufmode = -1 * if self.mode == b"c": # <<<<<<<<<<<<<< * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * elif self.mode == b"fortran": */ __pyx_t_1 = (__Pyx_PyUnicode_Equals(((PyObject *)__pyx_v_self->mode), ((PyObject *)__pyx_n_b__c), Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 185; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":186 * cdef int bufmode = -1 * if self.mode == b"c": * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS # <<<<<<<<<<<<<< * elif self.mode == b"fortran": * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS */ __pyx_v_bufmode = (PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS); goto __pyx_L3; } /* "View.MemoryView":187 * if self.mode == b"c": * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * elif self.mode == b"fortran": # <<<<<<<<<<<<<< * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): */ __pyx_t_2 = (__Pyx_PyUnicode_Equals(((PyObject *)__pyx_v_self->mode), ((PyObject *)__pyx_n_b__fortran), Py_EQ)); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 187; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_1 = (__pyx_t_2 != 0); if (__pyx_t_1) { /* "View.MemoryView":188 * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * elif self.mode == b"fortran": * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS # <<<<<<<<<<<<<< * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") */ __pyx_v_bufmode = (PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":189 * elif self.mode == b"fortran": * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): # <<<<<<<<<<<<<< * raise ValueError("Can only create a buffer that is contiguous in memory.") * info.buf = self.data */ __pyx_t_1 = ((!((__pyx_v_flags & __pyx_v_bufmode) != 0)) != 0); if (__pyx_t_1) { /* "View.MemoryView":190 * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") # <<<<<<<<<<<<<< * info.buf = self.data * info.len = self.len */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_27), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":191 * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") * info.buf = self.data # <<<<<<<<<<<<<< * info.len = self.len * info.ndim = self.ndim */ __pyx_t_4 = __pyx_v_self->data; __pyx_v_info->buf = __pyx_t_4; /* "View.MemoryView":192 * raise ValueError("Can only create a buffer that is contiguous in memory.") * info.buf = self.data * info.len = self.len # <<<<<<<<<<<<<< * info.ndim = self.ndim * info.shape = self._shape */ __pyx_t_5 = __pyx_v_self->len; __pyx_v_info->len = __pyx_t_5; /* "View.MemoryView":193 * info.buf = self.data * info.len = self.len * info.ndim = self.ndim # <<<<<<<<<<<<<< * info.shape = self._shape * info.strides = self._strides */ __pyx_t_6 = __pyx_v_self->ndim; __pyx_v_info->ndim = __pyx_t_6; /* "View.MemoryView":194 * info.len = self.len * info.ndim = self.ndim * info.shape = self._shape # <<<<<<<<<<<<<< * info.strides = self._strides * info.suboffsets = NULL */ __pyx_t_7 = __pyx_v_self->_shape; __pyx_v_info->shape = __pyx_t_7; /* "View.MemoryView":195 * info.ndim = self.ndim * info.shape = self._shape * info.strides = self._strides # <<<<<<<<<<<<<< * info.suboffsets = NULL * info.itemsize = self.itemsize */ __pyx_t_7 = __pyx_v_self->_strides; __pyx_v_info->strides = __pyx_t_7; /* "View.MemoryView":196 * info.shape = self._shape * info.strides = self._strides * info.suboffsets = NULL # <<<<<<<<<<<<<< * info.itemsize = self.itemsize * info.readonly = 0 */ __pyx_v_info->suboffsets = NULL; /* "View.MemoryView":197 * info.strides = self._strides * info.suboffsets = NULL * info.itemsize = self.itemsize # <<<<<<<<<<<<<< * info.readonly = 0 * */ __pyx_t_5 = __pyx_v_self->itemsize; __pyx_v_info->itemsize = __pyx_t_5; /* "View.MemoryView":198 * info.suboffsets = NULL * info.itemsize = self.itemsize * info.readonly = 0 # <<<<<<<<<<<<<< * * if flags & PyBUF_FORMAT: */ __pyx_v_info->readonly = 0; /* "View.MemoryView":200 * info.readonly = 0 * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * info.format = self.format * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); if (__pyx_t_1) { /* "View.MemoryView":201 * * if flags & PyBUF_FORMAT: * info.format = self.format # <<<<<<<<<<<<<< * else: * info.format = NULL */ __pyx_t_4 = __pyx_v_self->format; __pyx_v_info->format = __pyx_t_4; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":203 * info.format = self.format * else: * info.format = NULL # <<<<<<<<<<<<<< * * info.obj = self */ __pyx_v_info->format = NULL; } __pyx_L5:; /* "View.MemoryView":205 * info.format = NULL * * info.obj = self # <<<<<<<<<<<<<< * * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") */ __Pyx_INCREF(((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.array.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; if (__pyx_v_info != NULL && __pyx_v_info->obj != NULL) { __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = NULL; } goto __pyx_L2; __pyx_L0:; if (__pyx_v_info != NULL && __pyx_v_info->obj == Py_None) { __Pyx_GOTREF(Py_None); __Pyx_DECREF(Py_None); __pyx_v_info->obj = NULL; } __pyx_L2:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static void __pyx_array___dealloc__(PyObject *__pyx_v_self); /*proto*/ static void __pyx_array___dealloc__(PyObject *__pyx_v_self) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); __pyx_array_MemoryView_5array_4__dealloc__(((struct __pyx_array_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":209 * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") * * def __dealloc__(array self): # <<<<<<<<<<<<<< * if self.callback_free_data != NULL: * self.callback_free_data(self.data) */ static void __pyx_array_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self) { __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("__dealloc__", 0); /* "View.MemoryView":210 * * def __dealloc__(array self): * if self.callback_free_data != NULL: # <<<<<<<<<<<<<< * self.callback_free_data(self.data) * elif self.free_data: */ __pyx_t_1 = ((__pyx_v_self->callback_free_data != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":211 * def __dealloc__(array self): * if self.callback_free_data != NULL: * self.callback_free_data(self.data) # <<<<<<<<<<<<<< * elif self.free_data: * if self.dtype_is_object: */ __pyx_v_self->callback_free_data(__pyx_v_self->data); goto __pyx_L3; } /* "View.MemoryView":212 * if self.callback_free_data != NULL: * self.callback_free_data(self.data) * elif self.free_data: # <<<<<<<<<<<<<< * if self.dtype_is_object: * refcount_objects_in_slice(self.data, self._shape, */ __pyx_t_1 = (__pyx_v_self->free_data != 0); if (__pyx_t_1) { /* "View.MemoryView":213 * self.callback_free_data(self.data) * elif self.free_data: * if self.dtype_is_object: # <<<<<<<<<<<<<< * refcount_objects_in_slice(self.data, self._shape, * self._strides, self.ndim, False) */ __pyx_t_1 = (__pyx_v_self->dtype_is_object != 0); if (__pyx_t_1) { /* "View.MemoryView":215 * if self.dtype_is_object: * refcount_objects_in_slice(self.data, self._shape, * self._strides, self.ndim, False) # <<<<<<<<<<<<<< * free(self.data) * */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_self->data, __pyx_v_self->_shape, __pyx_v_self->_strides, __pyx_v_self->ndim, 0); goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":216 * refcount_objects_in_slice(self.data, self._shape, * self._strides, self.ndim, False) * free(self.data) # <<<<<<<<<<<<<< * * free(self._strides) */ free(__pyx_v_self->data); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":218 * free(self.data) * * free(self._strides) # <<<<<<<<<<<<<< * free(self._shape) * */ free(__pyx_v_self->_strides); /* "View.MemoryView":219 * * free(self._strides) * free(self._shape) # <<<<<<<<<<<<<< * * property memview: */ free(__pyx_v_self->_shape); __Pyx_RefNannyFinishContext(); } /* Python wrapper */ static PyObject *get_memview(PyObject *__pyx_v_self); /*proto*/ static PyObject *get_memview(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = get_memview_MemoryView_5array_7memview___get__(((struct __pyx_array_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":223 * property memview: * @cname('get_memview') * def __get__(self): # <<<<<<<<<<<<<< * * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE */ static PyObject *get_memview_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self) { int __pyx_v_flags; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":225 * def __get__(self): * * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE # <<<<<<<<<<<<<< * return memoryview(self, flags, self.dtype_is_object) * */ __pyx_v_flags = ((PyBUF_ANY_CONTIGUOUS | PyBUF_FORMAT) | PyBUF_WRITABLE); /* "View.MemoryView":226 * * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE * return memoryview(self, flags, self.dtype_is_object) # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyInt_FromLong(__pyx_v_flags); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_self->dtype_is_object); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(((PyObject *)__pyx_v_self)); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_1 = 0; __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(((PyObject *)((PyObject *)__pyx_memoryview_type)), ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.array.memview.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_array___getattr__(PyObject *__pyx_v_self, PyObject *__pyx_v_attr); /*proto*/ static PyObject *__pyx_array___getattr__(PyObject *__pyx_v_self, PyObject *__pyx_v_attr) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getattr__ (wrapper)", 0); __pyx_r = __pyx_array_MemoryView_5array_6__getattr__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_attr)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":229 * * * def __getattr__(self, attr): # <<<<<<<<<<<<<< * return getattr(self.memview, attr) * */ static PyObject *__pyx_array_MemoryView_5array_6__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getattr__", 0); /* "View.MemoryView":230 * * def __getattr__(self, attr): * return getattr(self.memview, attr) # <<<<<<<<<<<<<< * * def __getitem__(self, item): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__memview); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 230; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_GetAttr(__pyx_t_1, __pyx_v_attr); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 230; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.array.__getattr__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_array___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item); /*proto*/ static PyObject *__pyx_array___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getitem__ (wrapper)", 0); __pyx_r = __pyx_array_MemoryView_5array_8__getitem__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_item)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":232 * return getattr(self.memview, attr) * * def __getitem__(self, item): # <<<<<<<<<<<<<< * return self.memview[item] * */ static PyObject *__pyx_array_MemoryView_5array_8__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getitem__", 0); /* "View.MemoryView":233 * * def __getitem__(self, item): * return self.memview[item] # <<<<<<<<<<<<<< * * def __setitem__(self, item, value): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__memview); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 233; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyObject_GetItem(__pyx_t_1, __pyx_v_item); if (!__pyx_t_2) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 233; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.array.__getitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static int __pyx_array___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /*proto*/ static int __pyx_array___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__setitem__ (wrapper)", 0); __pyx_r = __pyx_array_MemoryView_5array_10__setitem__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_item), ((PyObject *)__pyx_v_value)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":235 * return self.memview[item] * * def __setitem__(self, item, value): # <<<<<<<<<<<<<< * self.memview[item] = value * */ static int __pyx_array_MemoryView_5array_10__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value) { int __pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__setitem__", 0); /* "View.MemoryView":236 * * def __setitem__(self, item, value): * self.memview[item] = value # <<<<<<<<<<<<<< * * */ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__memview); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 236; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyObject_SetItem(__pyx_t_1, __pyx_v_item, __pyx_v_value) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 236; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.array.__setitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":240 * * @cname("__pyx_array_new") * cdef array array_cwrapper(tuple shape, Py_ssize_t itemsize, char *format, # <<<<<<<<<<<<<< * char *mode, char *buf): * cdef array result */ static struct __pyx_array_obj *__pyx_array_new(PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, char *__pyx_v_format, char *__pyx_v_mode, char *__pyx_v_buf) { struct __pyx_array_obj *__pyx_v_result = 0; struct __pyx_array_obj *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("array_cwrapper", 0); /* "View.MemoryView":244 * cdef array result * * if buf == NULL: # <<<<<<<<<<<<<< * result = array(shape, itemsize, format, mode.decode('ASCII')) * else: */ __pyx_t_1 = ((__pyx_v_buf == NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":245 * * if buf == NULL: * result = array(shape, itemsize, format, mode.decode('ASCII')) # <<<<<<<<<<<<<< * else: * result = array(shape, itemsize, format, mode.decode('ASCII'), */ __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_itemsize); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __Pyx_PyBytes_FromString(__pyx_v_format); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __pyx_t_4 = ((PyObject *)__Pyx_decode_c_string(__pyx_v_mode, 0, strlen(__pyx_v_mode), NULL, NULL, PyUnicode_DecodeASCII)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __pyx_t_5 = PyTuple_New(4); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_INCREF(((PyObject *)__pyx_v_shape)); PyTuple_SET_ITEM(__pyx_t_5, 0, ((PyObject *)__pyx_v_shape)); __Pyx_GIVEREF(((PyObject *)__pyx_v_shape)); PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_5, 2, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); PyTuple_SET_ITEM(__pyx_t_5, 3, ((PyObject *)__pyx_t_4)); __Pyx_GIVEREF(((PyObject *)__pyx_t_4)); __pyx_t_2 = 0; __pyx_t_3 = 0; __pyx_t_4 = 0; __pyx_t_4 = PyObject_Call(((PyObject *)((PyObject *)__pyx_array_type)), ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; __pyx_v_result = ((struct __pyx_array_obj *)__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":247 * result = array(shape, itemsize, format, mode.decode('ASCII')) * else: * result = array(shape, itemsize, format, mode.decode('ASCII'), # <<<<<<<<<<<<<< * allocate_buffer=False) * result.data = buf */ __pyx_t_4 = PyInt_FromSsize_t(__pyx_v_itemsize); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_5 = __Pyx_PyBytes_FromString(__pyx_v_format); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __pyx_t_3 = ((PyObject *)__Pyx_decode_c_string(__pyx_v_mode, 0, strlen(__pyx_v_mode), NULL, NULL, PyUnicode_DecodeASCII)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __pyx_t_2 = PyTuple_New(4); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)__pyx_v_shape)); PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_shape)); __Pyx_GIVEREF(((PyObject *)__pyx_v_shape)); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_2, 2, ((PyObject *)__pyx_t_5)); __Pyx_GIVEREF(((PyObject *)__pyx_t_5)); PyTuple_SET_ITEM(__pyx_t_2, 3, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); __pyx_t_4 = 0; __pyx_t_5 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyDict_New(); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); /* "View.MemoryView":248 * else: * result = array(shape, itemsize, format, mode.decode('ASCII'), * allocate_buffer=False) # <<<<<<<<<<<<<< * result.data = buf * */ __pyx_t_5 = __Pyx_PyBool_FromLong(0); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 248; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); if (PyDict_SetItem(__pyx_t_3, ((PyObject *)__pyx_n_s__allocate_buffer), __pyx_t_5) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_5 = PyObject_Call(((PyObject *)((PyObject *)__pyx_array_type)), ((PyObject *)__pyx_t_2), ((PyObject *)__pyx_t_3)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_v_result = ((struct __pyx_array_obj *)__pyx_t_5); __pyx_t_5 = 0; /* "View.MemoryView":249 * result = array(shape, itemsize, format, mode.decode('ASCII'), * allocate_buffer=False) * result.data = buf # <<<<<<<<<<<<<< * * return result */ __pyx_v_result->data = __pyx_v_buf; } __pyx_L3:; /* "View.MemoryView":251 * result.data = buf * * return result # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(((PyObject *)__pyx_r)); __Pyx_INCREF(((PyObject *)__pyx_v_result)); __pyx_r = __pyx_v_result; goto __pyx_L0; __pyx_r = ((struct __pyx_array_obj *)Py_None); __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.array_cwrapper", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_result); __Pyx_XGIVEREF((PyObject *)__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static int __pyx_MemviewEnum___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ static int __pyx_MemviewEnum___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_name = 0; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__init__ (wrapper)", 0); { static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__name,0}; PyObject* values[1] = {0}; if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = PyDict_Size(__pyx_kwds); switch (pos_args) { case 0: if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__name)) != 0)) kw_args--; else goto __pyx_L5_argtuple_error; } if (unlikely(kw_args > 0)) { if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__init__") < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 277; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } else if (PyTuple_GET_SIZE(__pyx_args) != 1) { goto __pyx_L5_argtuple_error; } else { values[0] = PyTuple_GET_ITEM(__pyx_args, 0); } __pyx_v_name = values[0]; } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("__init__", 1, 1, 1, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 277; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("View.MemoryView.Enum.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return -1; __pyx_L4_argument_unpacking_done:; __pyx_r = __pyx_MemviewEnum_MemoryView_4Enum___init__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self), __pyx_v_name); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":277 * cdef class Enum(object): * cdef object name * def __init__(self, name): # <<<<<<<<<<<<<< * self.name = name * def __repr__(self): */ static int __pyx_MemviewEnum_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__init__", 0); /* "View.MemoryView":278 * cdef object name * def __init__(self, name): * self.name = name # <<<<<<<<<<<<<< * def __repr__(self): * return self.name */ __Pyx_INCREF(__pyx_v_name); __Pyx_GIVEREF(__pyx_v_name); __Pyx_GOTREF(__pyx_v_self->name); __Pyx_DECREF(__pyx_v_self->name); __pyx_v_self->name = __pyx_v_name; __pyx_r = 0; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_MemviewEnum___repr__(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_MemviewEnum___repr__(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__repr__ (wrapper)", 0); __pyx_r = __pyx_MemviewEnum_MemoryView_4Enum_2__repr__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":279 * def __init__(self, name): * self.name = name * def __repr__(self): # <<<<<<<<<<<<<< * return self.name * */ static PyObject *__pyx_MemviewEnum_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__repr__", 0); /* "View.MemoryView":280 * self.name = name * def __repr__(self): * return self.name # <<<<<<<<<<<<<< * * cdef generic = Enum("") */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_self->name); __pyx_r = __pyx_v_self->name; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":294 * * @cname('__pyx_align_pointer') * cdef void *align_pointer(void *memory, size_t alignment) nogil: # <<<<<<<<<<<<<< * "Align pointer memory on a given boundary" * cdef Py_intptr_t aligned_p = memory */ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) { Py_intptr_t __pyx_v_aligned_p; size_t __pyx_v_offset; void *__pyx_r; int __pyx_t_1; /* "View.MemoryView":296 * cdef void *align_pointer(void *memory, size_t alignment) nogil: * "Align pointer memory on a given boundary" * cdef Py_intptr_t aligned_p = memory # <<<<<<<<<<<<<< * cdef size_t offset * */ __pyx_v_aligned_p = ((Py_intptr_t)__pyx_v_memory); /* "View.MemoryView":300 * * with cython.cdivision(True): * offset = aligned_p % alignment # <<<<<<<<<<<<<< * * if offset > 0: */ __pyx_v_offset = (__pyx_v_aligned_p % __pyx_v_alignment); /* "View.MemoryView":302 * offset = aligned_p % alignment * * if offset > 0: # <<<<<<<<<<<<<< * aligned_p += alignment - offset * */ __pyx_t_1 = ((__pyx_v_offset > 0) != 0); if (__pyx_t_1) { /* "View.MemoryView":303 * * if offset > 0: * aligned_p += alignment - offset # <<<<<<<<<<<<<< * * return aligned_p */ __pyx_v_aligned_p = (__pyx_v_aligned_p + (__pyx_v_alignment - __pyx_v_offset)); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":305 * aligned_p += alignment - offset * * return aligned_p # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview') */ __pyx_r = ((void *)__pyx_v_aligned_p); goto __pyx_L0; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* Python wrapper */ static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_obj = 0; int __pyx_v_flags; int __pyx_v_dtype_is_object; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__cinit__ (wrapper)", 0); { static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__obj,&__pyx_n_s__flags,&__pyx_n_s__dtype_is_object,0}; PyObject* values[3] = {0,0,0}; if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = PyDict_Size(__pyx_kwds); switch (pos_args) { case 0: if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__obj)) != 0)) kw_args--; else goto __pyx_L5_argtuple_error; case 1: if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__flags)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, 1); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 2: if (kw_args > 0) { PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__dtype_is_object); if (value) { values[2] = value; kw_args--; } } } if (unlikely(kw_args > 0)) { if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } else { switch (PyTuple_GET_SIZE(__pyx_args)) { case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); values[0] = PyTuple_GET_ITEM(__pyx_args, 0); break; default: goto __pyx_L5_argtuple_error; } } __pyx_v_obj = values[0]; __pyx_v_flags = __Pyx_PyInt_AsInt(values[1]); if (unlikely((__pyx_v_flags == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} if (values[2]) { __pyx_v_dtype_is_object = __Pyx_PyObject_IsTrue(values[2]); if (unlikely((__pyx_v_dtype_is_object == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } else { /* "View.MemoryView":323 * cdef __Pyx_TypeInfo *typeinfo * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): # <<<<<<<<<<<<<< * self.obj = obj * self.flags = flags */ __pyx_v_dtype_is_object = ((int)0); } } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("View.MemoryView.memoryview.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return -1; __pyx_L4_argument_unpacking_done:; __pyx_r = __pyx_memoryview_MemoryView_10memoryview___cinit__(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_obj, __pyx_v_flags, __pyx_v_dtype_is_object); __Pyx_RefNannyFinishContext(); return __pyx_r; } static int __pyx_memoryview_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object) { int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__cinit__", 0); /* "View.MemoryView":324 * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): * self.obj = obj # <<<<<<<<<<<<<< * self.flags = flags * if type(self) is memoryview or obj is not None: */ __Pyx_INCREF(__pyx_v_obj); __Pyx_GIVEREF(__pyx_v_obj); __Pyx_GOTREF(__pyx_v_self->obj); __Pyx_DECREF(__pyx_v_self->obj); __pyx_v_self->obj = __pyx_v_obj; /* "View.MemoryView":325 * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): * self.obj = obj * self.flags = flags # <<<<<<<<<<<<<< * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) */ __pyx_v_self->flags = __pyx_v_flags; /* "View.MemoryView":326 * self.obj = obj * self.flags = flags * if type(self) is memoryview or obj is not None: # <<<<<<<<<<<<<< * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: */ __pyx_t_1 = (((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self))) == ((PyObject *)((PyObject *)__pyx_memoryview_type))); if (!(__pyx_t_1 != 0)) { __pyx_t_2 = (__pyx_v_obj != Py_None); __pyx_t_3 = (__pyx_t_2 != 0); } else { __pyx_t_3 = (__pyx_t_1 != 0); } if (__pyx_t_3) { /* "View.MemoryView":327 * self.flags = flags * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) # <<<<<<<<<<<<<< * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None */ __pyx_t_4 = __Pyx_GetBuffer(__pyx_v_obj, (&__pyx_v_self->view), __pyx_v_flags); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 327; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":328 * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: # <<<<<<<<<<<<<< * (<__pyx_buffer *> &self.view).obj = Py_None * Py_INCREF(Py_None) */ __pyx_t_3 = ((((PyObject *)__pyx_v_self->view.obj) == NULL) != 0); if (__pyx_t_3) { /* "View.MemoryView":329 * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None # <<<<<<<<<<<<<< * Py_INCREF(Py_None) * */ ((Py_buffer *)(&__pyx_v_self->view))->obj = Py_None; /* "View.MemoryView":330 * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< * * self.lock = PyThread_allocate_lock() */ Py_INCREF(Py_None); goto __pyx_L4; } __pyx_L4:; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":332 * Py_INCREF(Py_None) * * self.lock = PyThread_allocate_lock() # <<<<<<<<<<<<<< * if self.lock == NULL: * raise MemoryError */ __pyx_v_self->lock = PyThread_allocate_lock(); /* "View.MemoryView":333 * * self.lock = PyThread_allocate_lock() * if self.lock == NULL: # <<<<<<<<<<<<<< * raise MemoryError * */ __pyx_t_3 = ((__pyx_v_self->lock == NULL) != 0); if (__pyx_t_3) { /* "View.MemoryView":334 * self.lock = PyThread_allocate_lock() * if self.lock == NULL: * raise MemoryError # <<<<<<<<<<<<<< * * if flags & PyBUF_FORMAT: */ PyErr_NoMemory(); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 334; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; /* "View.MemoryView":336 * raise MemoryError * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * self.dtype_is_object = self.view.format == b'O' * else: */ __pyx_t_3 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); if (__pyx_t_3) { /* "View.MemoryView":337 * * if flags & PyBUF_FORMAT: * self.dtype_is_object = self.view.format == b'O' # <<<<<<<<<<<<<< * else: * self.dtype_is_object = dtype_is_object */ __pyx_t_5 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 337; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __pyx_t_6 = PyObject_RichCompare(((PyObject *)__pyx_t_5), ((PyObject *)__pyx_n_b__O), Py_EQ); __Pyx_XGOTREF(__pyx_t_6); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 337; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely((__pyx_t_3 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 337; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __pyx_v_self->dtype_is_object = __pyx_t_3; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":339 * self.dtype_is_object = self.view.format == b'O' * else: * self.dtype_is_object = dtype_is_object # <<<<<<<<<<<<<< * * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( */ __pyx_v_self->dtype_is_object = __pyx_v_dtype_is_object; } __pyx_L6:; /* "View.MemoryView":341 * self.dtype_is_object = dtype_is_object * * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( # <<<<<<<<<<<<<< * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) * self.typeinfo = NULL */ __pyx_v_self->acquisition_count_aligned_p = ((__pyx_atomic_int *)__pyx_align_pointer(((void *)(&(__pyx_v_self->acquisition_count[0]))), (sizeof(__pyx_atomic_int)))); /* "View.MemoryView":343 * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) * self.typeinfo = NULL # <<<<<<<<<<<<<< * * def __dealloc__(memoryview self): */ __pyx_v_self->typeinfo = NULL; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_AddTraceback("View.MemoryView.memoryview.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static void __pyx_memoryview___dealloc__(PyObject *__pyx_v_self); /*proto*/ static void __pyx_memoryview___dealloc__(PyObject *__pyx_v_self) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); __pyx_memoryview_MemoryView_10memoryview_2__dealloc__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":345 * self.typeinfo = NULL * * def __dealloc__(memoryview self): # <<<<<<<<<<<<<< * if self.obj is not None: * __Pyx_ReleaseBuffer(&self.view) */ static void __pyx_memoryview_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; __Pyx_RefNannySetupContext("__dealloc__", 0); /* "View.MemoryView":346 * * def __dealloc__(memoryview self): * if self.obj is not None: # <<<<<<<<<<<<<< * __Pyx_ReleaseBuffer(&self.view) * */ __pyx_t_1 = (__pyx_v_self->obj != Py_None); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":347 * def __dealloc__(memoryview self): * if self.obj is not None: * __Pyx_ReleaseBuffer(&self.view) # <<<<<<<<<<<<<< * * if self.lock != NULL: */ __Pyx_ReleaseBuffer((&__pyx_v_self->view)); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":349 * __Pyx_ReleaseBuffer(&self.view) * * if self.lock != NULL: # <<<<<<<<<<<<<< * PyThread_free_lock(self.lock) * */ __pyx_t_2 = ((__pyx_v_self->lock != NULL) != 0); if (__pyx_t_2) { /* "View.MemoryView":350 * * if self.lock != NULL: * PyThread_free_lock(self.lock) # <<<<<<<<<<<<<< * * cdef char *get_item_pointer(memoryview self, object index) except NULL: */ PyThread_free_lock(__pyx_v_self->lock); goto __pyx_L4; } __pyx_L4:; __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":352 * PyThread_free_lock(self.lock) * * cdef char *get_item_pointer(memoryview self, object index) except NULL: # <<<<<<<<<<<<<< * cdef Py_ssize_t dim * cdef char *itemp = self.view.buf */ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index) { Py_ssize_t __pyx_v_dim; char *__pyx_v_itemp; PyObject *__pyx_v_idx = NULL; char *__pyx_r; __Pyx_RefNannyDeclarations Py_ssize_t __pyx_t_1; PyObject *__pyx_t_2 = NULL; Py_ssize_t __pyx_t_3; PyObject *(*__pyx_t_4)(PyObject *); PyObject *__pyx_t_5 = NULL; Py_ssize_t __pyx_t_6; char *__pyx_t_7; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("get_item_pointer", 0); /* "View.MemoryView":354 * cdef char *get_item_pointer(memoryview self, object index) except NULL: * cdef Py_ssize_t dim * cdef char *itemp = self.view.buf # <<<<<<<<<<<<<< * * for dim, idx in enumerate(index): */ __pyx_v_itemp = ((char *)__pyx_v_self->view.buf); /* "View.MemoryView":356 * cdef char *itemp = self.view.buf * * for dim, idx in enumerate(index): # <<<<<<<<<<<<<< * itemp = pybuffer_index(&self.view, itemp, idx, dim) * */ __pyx_t_1 = 0; if (PyList_CheckExact(__pyx_v_index) || PyTuple_CheckExact(__pyx_v_index)) { __pyx_t_2 = __pyx_v_index; __Pyx_INCREF(__pyx_t_2); __pyx_t_3 = 0; __pyx_t_4 = NULL; } else { __pyx_t_3 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_v_index); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_4 = Py_TYPE(__pyx_t_2)->tp_iternext; } for (;;) { if (!__pyx_t_4 && PyList_CheckExact(__pyx_t_2)) { if (__pyx_t_3 >= PyList_GET_SIZE(__pyx_t_2)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_5 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else if (!__pyx_t_4 && PyTuple_CheckExact(__pyx_t_2)) { if (__pyx_t_3 >= PyTuple_GET_SIZE(__pyx_t_2)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_5 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else { __pyx_t_5 = __pyx_t_4(__pyx_t_2); if (unlikely(!__pyx_t_5)) { if (PyErr_Occurred()) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear(); else {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } break; } __Pyx_GOTREF(__pyx_t_5); } __Pyx_XDECREF_SET(__pyx_v_idx, __pyx_t_5); __pyx_t_5 = 0; __pyx_v_dim = __pyx_t_1; __pyx_t_1 = (__pyx_t_1 + 1); /* "View.MemoryView":357 * * for dim, idx in enumerate(index): * itemp = pybuffer_index(&self.view, itemp, idx, dim) # <<<<<<<<<<<<<< * * return itemp */ __pyx_t_6 = __Pyx_PyIndex_AsSsize_t(__pyx_v_idx); if (unlikely((__pyx_t_6 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 357; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_7 = __pyx_pybuffer_index((&__pyx_v_self->view), __pyx_v_itemp, __pyx_t_6, __pyx_v_dim); if (unlikely(__pyx_t_7 == NULL)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 357; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_itemp = __pyx_t_7; } __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; /* "View.MemoryView":359 * itemp = pybuffer_index(&self.view, itemp, idx, dim) * * return itemp # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_itemp; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.memoryview.get_item_pointer", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF(__pyx_v_idx); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index); /*proto*/ static PyObject *__pyx_memoryview___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getitem__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_4__getitem__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((PyObject *)__pyx_v_index)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":362 * * * def __getitem__(memoryview self, object index): # <<<<<<<<<<<<<< * if index is Ellipsis: * return self */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index) { PyObject *__pyx_v_have_slices = NULL; PyObject *__pyx_v_indices = NULL; char *__pyx_v_itemp; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; PyObject *(*__pyx_t_7)(PyObject *); char *__pyx_t_8; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getitem__", 0); /* "View.MemoryView":363 * * def __getitem__(memoryview self, object index): * if index is Ellipsis: # <<<<<<<<<<<<<< * return self * */ __pyx_t_1 = (__pyx_v_index == __pyx_builtin_Ellipsis); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":364 * def __getitem__(memoryview self, object index): * if index is Ellipsis: * return self # <<<<<<<<<<<<<< * * have_slices, indices = _unellipsify(index, self.view.ndim) */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_self)); __pyx_r = ((PyObject *)__pyx_v_self); goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":366 * return self * * have_slices, indices = _unellipsify(index, self.view.ndim) # <<<<<<<<<<<<<< * * cdef char *itemp */ __pyx_t_3 = ((PyObject *)_unellipsify(__pyx_v_index, __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (likely(PyTuple_CheckExact(__pyx_t_3))) { PyObject* sequence = __pyx_t_3; #if CYTHON_COMPILING_IN_CPYTHON Py_ssize_t size = Py_SIZE(sequence); #else Py_ssize_t size = PySequence_Size(sequence); #endif if (unlikely(size != 2)) { if (size > 2) __Pyx_RaiseTooManyValuesError(2); else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_4 = PyTuple_GET_ITEM(sequence, 0); __pyx_t_5 = PyTuple_GET_ITEM(sequence, 1); __Pyx_INCREF(__pyx_t_4); __Pyx_INCREF(__pyx_t_5); #else __pyx_t_4 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_5 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); #endif __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } else if (1) { __Pyx_RaiseNoneNotIterableError(); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else { Py_ssize_t index = -1; __pyx_t_6 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = Py_TYPE(__pyx_t_6)->tp_iternext; index = 0; __pyx_t_4 = __pyx_t_7(__pyx_t_6); if (unlikely(!__pyx_t_4)) goto __pyx_L4_unpacking_failed; __Pyx_GOTREF(__pyx_t_4); index = 1; __pyx_t_5 = __pyx_t_7(__pyx_t_6); if (unlikely(!__pyx_t_5)) goto __pyx_L4_unpacking_failed; __Pyx_GOTREF(__pyx_t_5); if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_6), 2) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_7 = NULL; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; goto __pyx_L5_unpacking_done; __pyx_L4_unpacking_failed:; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __pyx_t_7 = NULL; if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_L5_unpacking_done:; } __pyx_v_have_slices = __pyx_t_4; __pyx_t_4 = 0; __pyx_v_indices = __pyx_t_5; __pyx_t_5 = 0; /* "View.MemoryView":369 * * cdef char *itemp * if have_slices: # <<<<<<<<<<<<<< * return memview_slice(self, indices) * else: */ __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_2) { /* "View.MemoryView":370 * cdef char *itemp * if have_slices: * return memview_slice(self, indices) # <<<<<<<<<<<<<< * else: * itemp = self.get_item_pointer(indices) */ __Pyx_XDECREF(__pyx_r); __pyx_t_3 = ((PyObject *)__pyx_memview_slice(__pyx_v_self, __pyx_v_indices)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 370; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; goto __pyx_L0; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":372 * return memview_slice(self, indices) * else: * itemp = self.get_item_pointer(indices) # <<<<<<<<<<<<<< * return self.convert_item_to_object(itemp) * */ __pyx_t_8 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->get_item_pointer(__pyx_v_self, __pyx_v_indices); if (unlikely(__pyx_t_8 == NULL)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 372; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_itemp = __pyx_t_8; /* "View.MemoryView":373 * else: * itemp = self.get_item_pointer(indices) * return self.convert_item_to_object(itemp) # <<<<<<<<<<<<<< * * def __setitem__(memoryview self, object index, object value): */ __Pyx_XDECREF(__pyx_r); __pyx_t_3 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->convert_item_to_object(__pyx_v_self, __pyx_v_itemp); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 373; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; goto __pyx_L0; } __pyx_L6:; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_AddTraceback("View.MemoryView.memoryview.__getitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF(__pyx_v_have_slices); __Pyx_XDECREF(__pyx_v_indices); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static int __pyx_memoryview___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /*proto*/ static int __pyx_memoryview___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__setitem__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_6__setitem__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((PyObject *)__pyx_v_index), ((PyObject *)__pyx_v_value)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":375 * return self.convert_item_to_object(itemp) * * def __setitem__(memoryview self, object index, object value): # <<<<<<<<<<<<<< * have_slices, index = _unellipsify(index, self.view.ndim) * */ static int __pyx_memoryview_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { PyObject *__pyx_v_have_slices = NULL; PyObject *__pyx_v_obj = NULL; int __pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *(*__pyx_t_5)(PyObject *); int __pyx_t_6; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__setitem__", 0); __Pyx_INCREF(__pyx_v_index); /* "View.MemoryView":376 * * def __setitem__(memoryview self, object index, object value): * have_slices, index = _unellipsify(index, self.view.ndim) # <<<<<<<<<<<<<< * * if have_slices: */ __pyx_t_1 = ((PyObject *)_unellipsify(__pyx_v_index, __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (likely(PyTuple_CheckExact(__pyx_t_1))) { PyObject* sequence = __pyx_t_1; #if CYTHON_COMPILING_IN_CPYTHON Py_ssize_t size = Py_SIZE(sequence); #else Py_ssize_t size = PySequence_Size(sequence); #endif if (unlikely(size != 2)) { if (size > 2) __Pyx_RaiseTooManyValuesError(2); else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_2 = PyTuple_GET_ITEM(sequence, 0); __pyx_t_3 = PyTuple_GET_ITEM(sequence, 1); __Pyx_INCREF(__pyx_t_2); __Pyx_INCREF(__pyx_t_3); #else __pyx_t_2 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); #endif __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; } else if (1) { __Pyx_RaiseNoneNotIterableError(); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else { Py_ssize_t index = -1; __pyx_t_4 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_5 = Py_TYPE(__pyx_t_4)->tp_iternext; index = 0; __pyx_t_2 = __pyx_t_5(__pyx_t_4); if (unlikely(!__pyx_t_2)) goto __pyx_L3_unpacking_failed; __Pyx_GOTREF(__pyx_t_2); index = 1; __pyx_t_3 = __pyx_t_5(__pyx_t_4); if (unlikely(!__pyx_t_3)) goto __pyx_L3_unpacking_failed; __Pyx_GOTREF(__pyx_t_3); if (__Pyx_IternextUnpackEndCheck(__pyx_t_5(__pyx_t_4), 2) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_5 = NULL; __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L4_unpacking_done; __pyx_L3_unpacking_failed:; __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_5 = NULL; if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_L4_unpacking_done:; } __pyx_v_have_slices = __pyx_t_2; __pyx_t_2 = 0; __Pyx_DECREF_SET(__pyx_v_index, __pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":378 * have_slices, index = _unellipsify(index, self.view.ndim) * * if have_slices: # <<<<<<<<<<<<<< * obj = self.is_slice(value) * if obj: */ __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 378; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_6) { /* "View.MemoryView":379 * * if have_slices: * obj = self.is_slice(value) # <<<<<<<<<<<<<< * if obj: * self.setitem_slice_assignment(self[index], obj) */ __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->is_slice(__pyx_v_self, __pyx_v_value); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 379; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_v_obj = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":380 * if have_slices: * obj = self.is_slice(value) * if obj: # <<<<<<<<<<<<<< * self.setitem_slice_assignment(self[index], obj) * else: */ __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_v_obj); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 380; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_6) { /* "View.MemoryView":381 * obj = self.is_slice(value) * if obj: * self.setitem_slice_assignment(self[index], obj) # <<<<<<<<<<<<<< * else: * self.setitem_slice_assign_scalar(self[index], value) */ __pyx_t_1 = PyObject_GetItem(((PyObject *)__pyx_v_self), __pyx_v_index); if (!__pyx_t_1) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 381; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_slice_assignment(__pyx_v_self, __pyx_t_1, __pyx_v_obj); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 381; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":383 * self.setitem_slice_assignment(self[index], obj) * else: * self.setitem_slice_assign_scalar(self[index], value) # <<<<<<<<<<<<<< * else: * self.setitem_indexed(index, value) */ __pyx_t_3 = PyObject_GetItem(((PyObject *)__pyx_v_self), __pyx_v_index); if (!__pyx_t_3) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 383; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 383; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_slice_assign_scalar(__pyx_v_self, ((struct __pyx_memoryview_obj *)__pyx_t_3), __pyx_v_value); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 383; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; } __pyx_L6:; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":385 * self.setitem_slice_assign_scalar(self[index], value) * else: * self.setitem_indexed(index, value) # <<<<<<<<<<<<<< * * cdef is_slice(self, obj): */ __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_indexed(__pyx_v_self, __pyx_v_index, __pyx_v_value); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 385; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; } __pyx_L5:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.memoryview.__setitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_XDECREF(__pyx_v_have_slices); __Pyx_XDECREF(__pyx_v_obj); __Pyx_XDECREF(__pyx_v_index); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":387 * self.setitem_indexed(index, value) * * cdef is_slice(self, obj): # <<<<<<<<<<<<<< * if not isinstance(obj, memoryview): * try: */ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; PyObject *__pyx_t_7 = NULL; PyObject *__pyx_t_8 = NULL; int __pyx_t_9; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("is_slice", 0); __Pyx_INCREF(__pyx_v_obj); /* "View.MemoryView":388 * * cdef is_slice(self, obj): * if not isinstance(obj, memoryview): # <<<<<<<<<<<<<< * try: * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, */ __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_obj, ((PyObject *)__pyx_memoryview_type)); __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":389 * cdef is_slice(self, obj): * if not isinstance(obj, memoryview): * try: # <<<<<<<<<<<<<< * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, * self.dtype_is_object) */ { __Pyx_ExceptionSave(&__pyx_t_3, &__pyx_t_4, &__pyx_t_5); __Pyx_XGOTREF(__pyx_t_3); __Pyx_XGOTREF(__pyx_t_4); __Pyx_XGOTREF(__pyx_t_5); /*try:*/ { /* "View.MemoryView":390 * if not isinstance(obj, memoryview): * try: * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, # <<<<<<<<<<<<<< * self.dtype_is_object) * except TypeError: */ __pyx_t_6 = PyInt_FromLong((__pyx_v_self->flags | PyBUF_ANY_CONTIGUOUS)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 390; __pyx_clineno = __LINE__; goto __pyx_L4_error;} __Pyx_GOTREF(__pyx_t_6); /* "View.MemoryView":391 * try: * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, * self.dtype_is_object) # <<<<<<<<<<<<<< * except TypeError: * return None */ __pyx_t_7 = __Pyx_PyBool_FromLong(__pyx_v_self->dtype_is_object); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 391; __pyx_clineno = __LINE__; goto __pyx_L4_error;} __Pyx_GOTREF(__pyx_t_7); __pyx_t_8 = PyTuple_New(3); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 390; __pyx_clineno = __LINE__; goto __pyx_L4_error;} __Pyx_GOTREF(__pyx_t_8); __Pyx_INCREF(__pyx_v_obj); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_v_obj); __Pyx_GIVEREF(__pyx_v_obj); PyTuple_SET_ITEM(__pyx_t_8, 1, __pyx_t_6); __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_8, 2, __pyx_t_7); __Pyx_GIVEREF(__pyx_t_7); __pyx_t_6 = 0; __pyx_t_7 = 0; __pyx_t_7 = PyObject_Call(((PyObject *)((PyObject *)__pyx_memoryview_type)), ((PyObject *)__pyx_t_8), NULL); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 390; __pyx_clineno = __LINE__; goto __pyx_L4_error;} __Pyx_GOTREF(__pyx_t_7); __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __Pyx_DECREF_SET(__pyx_v_obj, __pyx_t_7); __pyx_t_7 = 0; } __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; goto __pyx_L11_try_end; __pyx_L4_error:; __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; /* "View.MemoryView":392 * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, * self.dtype_is_object) * except TypeError: # <<<<<<<<<<<<<< * return None * */ __pyx_t_9 = PyErr_ExceptionMatches(__pyx_builtin_TypeError); if (__pyx_t_9) { __Pyx_AddTraceback("View.MemoryView.memoryview.is_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); if (__Pyx_GetException(&__pyx_t_7, &__pyx_t_8, &__pyx_t_6) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 392; __pyx_clineno = __LINE__; goto __pyx_L6_except_error;} __Pyx_GOTREF(__pyx_t_7); __Pyx_GOTREF(__pyx_t_8); __Pyx_GOTREF(__pyx_t_6); /* "View.MemoryView":393 * self.dtype_is_object) * except TypeError: * return None # <<<<<<<<<<<<<< * * return obj */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(Py_None); __pyx_r = Py_None; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; goto __pyx_L7_except_return; __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; goto __pyx_L5_exception_handled; } __pyx_L6_except_error:; __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_XGIVEREF(__pyx_t_5); __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5); goto __pyx_L1_error; __pyx_L7_except_return:; __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_XGIVEREF(__pyx_t_5); __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5); goto __pyx_L0; __pyx_L5_exception_handled:; __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_XGIVEREF(__pyx_t_5); __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5); __pyx_L11_try_end:; } goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":395 * return None * * return obj # <<<<<<<<<<<<<< * * cdef setitem_slice_assignment(self, dst, src): */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_obj); __pyx_r = __pyx_v_obj; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_7); __Pyx_XDECREF(__pyx_t_8); __Pyx_AddTraceback("View.MemoryView.memoryview.is_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF(__pyx_v_obj); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":397 * return obj * * cdef setitem_slice_assignment(self, dst, src): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice dst_slice * cdef __Pyx_memviewslice src_slice */ static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src) { __Pyx_memviewslice __pyx_v_dst_slice; __Pyx_memviewslice __pyx_v_src_slice; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("setitem_slice_assignment", 0); /* "View.MemoryView":401 * cdef __Pyx_memviewslice src_slice * * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], # <<<<<<<<<<<<<< * get_slice_from_memview(dst, &dst_slice)[0], * src.ndim, dst.ndim, self.dtype_is_object) */ if (!(likely(((__pyx_v_src) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_src, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 401; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":402 * * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], * get_slice_from_memview(dst, &dst_slice)[0], # <<<<<<<<<<<<<< * src.ndim, dst.ndim, self.dtype_is_object) * */ if (!(likely(((__pyx_v_dst) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_dst, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 402; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":403 * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], * get_slice_from_memview(dst, &dst_slice)[0], * src.ndim, dst.ndim, self.dtype_is_object) # <<<<<<<<<<<<<< * * cdef setitem_slice_assign_scalar(self, memoryview dst, value): */ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_src, __pyx_n_s__ndim); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 403; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyInt_AsInt(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 403; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dst, __pyx_n_s__ndim); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 403; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = __Pyx_PyInt_AsInt(__pyx_t_1); if (unlikely((__pyx_t_3 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 403; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_4 = __pyx_memoryview_copy_contents((__pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_src), (&__pyx_v_src_slice))[0]), (__pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_dst), (&__pyx_v_dst_slice))[0]), __pyx_t_2, __pyx_t_3, __pyx_v_self->dtype_is_object); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 401; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_slice_assignment", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":405 * src.ndim, dst.ndim, self.dtype_is_object) * * cdef setitem_slice_assign_scalar(self, memoryview dst, value): # <<<<<<<<<<<<<< * cdef int array[128] * cdef void *tmp = NULL */ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value) { int __pyx_v_array[128]; void *__pyx_v_tmp; void *__pyx_v_item; __Pyx_memviewslice __pyx_v_tmp_slice; __Pyx_memviewslice *__pyx_v_dst_slice; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; PyObject *__pyx_t_7 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("setitem_slice_assign_scalar", 0); /* "View.MemoryView":407 * cdef setitem_slice_assign_scalar(self, memoryview dst, value): * cdef int array[128] * cdef void *tmp = NULL # <<<<<<<<<<<<<< * cdef void *item * */ __pyx_v_tmp = NULL; /* "View.MemoryView":411 * * cdef __Pyx_memviewslice tmp_slice, *dst_slice * dst_slice = get_slice_from_memview(dst, &tmp_slice) # <<<<<<<<<<<<<< * * if self.view.itemsize > sizeof(array): */ __pyx_v_dst_slice = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_dst, (&__pyx_v_tmp_slice)); /* "View.MemoryView":413 * dst_slice = get_slice_from_memview(dst, &tmp_slice) * * if self.view.itemsize > sizeof(array): # <<<<<<<<<<<<<< * tmp = malloc(self.view.itemsize) * if tmp == NULL: */ __pyx_t_1 = ((((size_t)__pyx_v_self->view.itemsize) > (sizeof(__pyx_v_array))) != 0); if (__pyx_t_1) { /* "View.MemoryView":414 * * if self.view.itemsize > sizeof(array): * tmp = malloc(self.view.itemsize) # <<<<<<<<<<<<<< * if tmp == NULL: * raise MemoryError */ __pyx_v_tmp = malloc(__pyx_v_self->view.itemsize); /* "View.MemoryView":415 * if self.view.itemsize > sizeof(array): * tmp = malloc(self.view.itemsize) * if tmp == NULL: # <<<<<<<<<<<<<< * raise MemoryError * item = tmp */ __pyx_t_1 = ((__pyx_v_tmp == NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":416 * tmp = malloc(self.view.itemsize) * if tmp == NULL: * raise MemoryError # <<<<<<<<<<<<<< * item = tmp * else: */ PyErr_NoMemory(); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 416; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":417 * if tmp == NULL: * raise MemoryError * item = tmp # <<<<<<<<<<<<<< * else: * item = array */ __pyx_v_item = __pyx_v_tmp; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":419 * item = tmp * else: * item = array # <<<<<<<<<<<<<< * * if self.dtype_is_object: */ __pyx_v_item = ((void *)__pyx_v_array); } __pyx_L3:; /* "View.MemoryView":421 * item = array * * if self.dtype_is_object: # <<<<<<<<<<<<<< * ( item)[0] = value * else: */ __pyx_t_1 = (__pyx_v_self->dtype_is_object != 0); if (__pyx_t_1) { /* "View.MemoryView":422 * * if self.dtype_is_object: * ( item)[0] = value # <<<<<<<<<<<<<< * else: * try: */ (((PyObject **)__pyx_v_item)[0]) = ((PyObject *)__pyx_v_value); goto __pyx_L5; } /*else*/ { /* "View.MemoryView":424 * ( item)[0] = value * else: * try: # <<<<<<<<<<<<<< * self.assign_item_from_object( item, value) * except: */ { __Pyx_ExceptionSave(&__pyx_t_2, &__pyx_t_3, &__pyx_t_4); __Pyx_XGOTREF(__pyx_t_2); __Pyx_XGOTREF(__pyx_t_3); __Pyx_XGOTREF(__pyx_t_4); /*try:*/ { /* "View.MemoryView":425 * else: * try: * self.assign_item_from_object( item, value) # <<<<<<<<<<<<<< * except: * free(tmp) */ __pyx_t_5 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->assign_item_from_object(__pyx_v_self, ((char *)__pyx_v_item), __pyx_v_value); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 425; __pyx_clineno = __LINE__; goto __pyx_L6_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; } __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L13_try_end; __pyx_L6_error:; __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; /* "View.MemoryView":426 * try: * self.assign_item_from_object( item, value) * except: # <<<<<<<<<<<<<< * free(tmp) * raise */ /*except:*/ { __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_slice_assign_scalar", __pyx_clineno, __pyx_lineno, __pyx_filename); if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 426; __pyx_clineno = __LINE__; goto __pyx_L8_except_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); /* "View.MemoryView":427 * self.assign_item_from_object( item, value) * except: * free(tmp) # <<<<<<<<<<<<<< * raise * */ free(__pyx_v_tmp); /* "View.MemoryView":428 * except: * free(tmp) * raise # <<<<<<<<<<<<<< * * */ __Pyx_GIVEREF(__pyx_t_5); __Pyx_GIVEREF(__pyx_t_6); __Pyx_GIVEREF(__pyx_t_7); __Pyx_ErrRestore(__pyx_t_5, __pyx_t_6, __pyx_t_7); __pyx_t_5 = 0; __pyx_t_6 = 0; __pyx_t_7 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 428; __pyx_clineno = __LINE__; goto __pyx_L8_except_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; goto __pyx_L7_exception_handled; } __pyx_L8_except_error:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); goto __pyx_L1_error; __pyx_L7_exception_handled:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); __pyx_L13_try_end:; } } __pyx_L5:; /* "View.MemoryView":432 * * * if self.view.suboffsets != NULL: # <<<<<<<<<<<<<< * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, */ __pyx_t_1 = ((__pyx_v_self->view.suboffsets != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":433 * * if self.view.suboffsets != NULL: * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) # <<<<<<<<<<<<<< * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, * item, self.dtype_is_object) */ __pyx_t_7 = assert_direct_dimensions(__pyx_v_self->view.suboffsets, __pyx_v_self->view.ndim); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 433; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_7); __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; goto __pyx_L16; } __pyx_L16:; /* "View.MemoryView":435 * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, * item, self.dtype_is_object) # <<<<<<<<<<<<<< * free(tmp) * */ __pyx_memoryview_slice_assign_scalar(__pyx_v_dst_slice, __pyx_v_dst->view.ndim, __pyx_v_self->view.itemsize, __pyx_v_item, __pyx_v_self->dtype_is_object); /* "View.MemoryView":436 * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, * item, self.dtype_is_object) * free(tmp) # <<<<<<<<<<<<<< * * cdef setitem_indexed(self, index, value): */ free(__pyx_v_tmp); __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_7); __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_slice_assign_scalar", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":438 * free(tmp) * * cdef setitem_indexed(self, index, value): # <<<<<<<<<<<<<< * cdef char *itemp = self.get_item_pointer(index) * self.assign_item_from_object(itemp, value) */ static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { char *__pyx_v_itemp; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations char *__pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("setitem_indexed", 0); /* "View.MemoryView":439 * * cdef setitem_indexed(self, index, value): * cdef char *itemp = self.get_item_pointer(index) # <<<<<<<<<<<<<< * self.assign_item_from_object(itemp, value) * */ __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->get_item_pointer(__pyx_v_self, __pyx_v_index); if (unlikely(__pyx_t_1 == NULL)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 439; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_itemp = __pyx_t_1; /* "View.MemoryView":440 * cdef setitem_indexed(self, index, value): * cdef char *itemp = self.get_item_pointer(index) * self.assign_item_from_object(itemp, value) # <<<<<<<<<<<<<< * * cdef convert_item_to_object(self, char *itemp): */ __pyx_t_2 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->assign_item_from_object(__pyx_v_self, __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 440; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_indexed", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":442 * self.assign_item_from_object(itemp, value) * * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" */ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp) { PyObject *__pyx_v_struct = NULL; PyObject *__pyx_v_bytesitem = 0; PyObject *__pyx_v_result = NULL; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; size_t __pyx_t_7; int __pyx_t_8; int __pyx_t_9; PyObject *__pyx_t_10 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("convert_item_to_object", 0); /* "View.MemoryView":445 * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" * import struct # <<<<<<<<<<<<<< * cdef bytes bytesitem * */ __pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__struct), 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 445; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_v_struct = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":448 * cdef bytes bytesitem * * bytesitem = itemp[:self.view.itemsize] # <<<<<<<<<<<<<< * try: * result = struct.unpack(self.view.format, bytesitem) */ __pyx_t_1 = __Pyx_PyBytes_FromStringAndSize(__pyx_v_itemp + 0, __pyx_v_self->view.itemsize - 0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 448; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __pyx_v_bytesitem = ((PyObject*)__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":449 * * bytesitem = itemp[:self.view.itemsize] * try: # <<<<<<<<<<<<<< * result = struct.unpack(self.view.format, bytesitem) * except struct.error: */ { __Pyx_ExceptionSave(&__pyx_t_2, &__pyx_t_3, &__pyx_t_4); __Pyx_XGOTREF(__pyx_t_2); __Pyx_XGOTREF(__pyx_t_3); __Pyx_XGOTREF(__pyx_t_4); /*try:*/ { /* "View.MemoryView":450 * bytesitem = itemp[:self.view.itemsize] * try: * result = struct.unpack(self.view.format, bytesitem) # <<<<<<<<<<<<<< * except struct.error: * raise ValueError("Unable to convert item to object") */ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s__unpack); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 450; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_5 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 450; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __pyx_t_6 = PyTuple_New(2); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 450; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __Pyx_GOTREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_6, 0, ((PyObject *)__pyx_t_5)); __Pyx_GIVEREF(((PyObject *)__pyx_t_5)); __Pyx_INCREF(((PyObject *)__pyx_v_bytesitem)); PyTuple_SET_ITEM(__pyx_t_6, 1, ((PyObject *)__pyx_v_bytesitem)); __Pyx_GIVEREF(((PyObject *)__pyx_v_bytesitem)); __pyx_t_5 = 0; __pyx_t_5 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_6), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 450; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0; __pyx_v_result = __pyx_t_5; __pyx_t_5 = 0; } /*else:*/ { /* "View.MemoryView":454 * raise ValueError("Unable to convert item to object") * else: * if len(self.view.format) == 1: # <<<<<<<<<<<<<< * return result[0] * return result */ __pyx_t_7 = strlen(__pyx_v_self->view.format); __pyx_t_8 = ((__pyx_t_7 == 1) != 0); if (__pyx_t_8) { /* "View.MemoryView":455 * else: * if len(self.view.format) == 1: * return result[0] # <<<<<<<<<<<<<< * return result * */ __Pyx_XDECREF(__pyx_r); __pyx_t_5 = __Pyx_GetItemInt(__pyx_v_result, 0, sizeof(long), PyInt_FromLong, 0, 0, 1); if (!__pyx_t_5) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 455; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; goto __pyx_L6_except_return; goto __pyx_L11; } __pyx_L11:; /* "View.MemoryView":456 * if len(self.view.format) == 1: * return result[0] * return result # <<<<<<<<<<<<<< * * cdef assign_item_from_object(self, char *itemp, object value): */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_result); __pyx_r = __pyx_v_result; goto __pyx_L6_except_return; } __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L10_try_end; __pyx_L3_error:; __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; /* "View.MemoryView":451 * try: * result = struct.unpack(self.view.format, bytesitem) * except struct.error: # <<<<<<<<<<<<<< * raise ValueError("Unable to convert item to object") * else: */ __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s__error); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 451; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_9 = PyErr_ExceptionMatches(__pyx_t_5); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_9) { __Pyx_AddTraceback("View.MemoryView.memoryview.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_1) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 451; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_1); /* "View.MemoryView":452 * result = struct.unpack(self.view.format, bytesitem) * except struct.error: * raise ValueError("Unable to convert item to object") # <<<<<<<<<<<<<< * else: * if len(self.view.format) == 1: */ __pyx_t_10 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_29), NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_Raise(__pyx_t_10, 0, 0, 0); __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; goto __pyx_L4_exception_handled; } __pyx_L5_except_error:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); goto __pyx_L1_error; __pyx_L6_except_return:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); goto __pyx_L0; __pyx_L4_exception_handled:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); __pyx_L10_try_end:; } __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_10); __Pyx_AddTraceback("View.MemoryView.memoryview.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF(__pyx_v_struct); __Pyx_XDECREF(__pyx_v_bytesitem); __Pyx_XDECREF(__pyx_v_result); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":458 * return result * * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" */ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value) { PyObject *__pyx_v_struct = NULL; char __pyx_v_c; PyObject *__pyx_v_bytesvalue = 0; Py_ssize_t __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_t_2; int __pyx_t_3; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; Py_ssize_t __pyx_t_7; PyObject *__pyx_t_8 = NULL; char *__pyx_t_9; char *__pyx_t_10; char *__pyx_t_11; char *__pyx_t_12; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("assign_item_from_object", 0); /* "View.MemoryView":461 * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" * import struct # <<<<<<<<<<<<<< * cdef char c * cdef bytes bytesvalue */ __pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__struct), 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 461; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_v_struct = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":466 * cdef Py_ssize_t i * * if isinstance(value, tuple): # <<<<<<<<<<<<<< * bytesvalue = struct.pack(self.view.format, *value) * else: */ __pyx_t_2 = PyTuple_Check(__pyx_v_value); __pyx_t_3 = (__pyx_t_2 != 0); if (__pyx_t_3) { /* "View.MemoryView":467 * * if isinstance(value, tuple): * bytesvalue = struct.pack(self.view.format, *value) # <<<<<<<<<<<<<< * else: * bytesvalue = struct.pack(self.view.format, value) */ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s__pack); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_4 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_5, 0, ((PyObject *)__pyx_t_4)); __Pyx_GIVEREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_t_4 = PySequence_Tuple(__pyx_v_value); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __pyx_t_6 = PyNumber_Add(((PyObject *)__pyx_t_5), ((PyObject *)__pyx_t_4)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_6)); __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_t_4 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_6), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0; if (!(likely(PyBytes_CheckExact(__pyx_t_4))||((__pyx_t_4) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected bytes, got %.200s", Py_TYPE(__pyx_t_4)->tp_name), 0))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_bytesvalue = ((PyObject*)__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":469 * bytesvalue = struct.pack(self.view.format, *value) * else: * bytesvalue = struct.pack(self.view.format, value) # <<<<<<<<<<<<<< * * for i, c in enumerate(bytesvalue): */ __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s__pack); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_6 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_6)); __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_t_6)); __Pyx_GIVEREF(((PyObject *)__pyx_t_6)); __Pyx_INCREF(__pyx_v_value); PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_value); __Pyx_GIVEREF(__pyx_v_value); __pyx_t_6 = 0; __pyx_t_6 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; if (!(likely(PyBytes_CheckExact(__pyx_t_6))||((__pyx_t_6) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected bytes, got %.200s", Py_TYPE(__pyx_t_6)->tp_name), 0))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_bytesvalue = ((PyObject*)__pyx_t_6); __pyx_t_6 = 0; } __pyx_L3:; /* "View.MemoryView":471 * bytesvalue = struct.pack(self.view.format, value) * * for i, c in enumerate(bytesvalue): # <<<<<<<<<<<<<< * itemp[i] = c * */ __pyx_t_7 = 0; if (unlikely(((PyObject *)__pyx_v_bytesvalue) == Py_None)) { PyErr_SetString(PyExc_TypeError, "'NoneType' is not iterable"); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 471; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __Pyx_INCREF(((PyObject *)__pyx_v_bytesvalue)); __pyx_t_8 = __pyx_v_bytesvalue; __pyx_t_10 = PyBytes_AS_STRING(__pyx_t_8); __pyx_t_11 = (__pyx_t_10 + PyBytes_GET_SIZE(__pyx_t_8)); for (__pyx_t_12 = __pyx_t_10; __pyx_t_12 < __pyx_t_11; __pyx_t_12++) { __pyx_t_9 = __pyx_t_12; __pyx_v_c = (__pyx_t_9[0]); /* "View.MemoryView":472 * * for i, c in enumerate(bytesvalue): * itemp[i] = c # <<<<<<<<<<<<<< * * @cname('getbuffer') */ __pyx_v_i = __pyx_t_7; /* "View.MemoryView":471 * bytesvalue = struct.pack(self.view.format, value) * * for i, c in enumerate(bytesvalue): # <<<<<<<<<<<<<< * itemp[i] = c * */ __pyx_t_7 = (__pyx_t_7 + 1); /* "View.MemoryView":472 * * for i, c in enumerate(bytesvalue): * itemp[i] = c # <<<<<<<<<<<<<< * * @cname('getbuffer') */ (__pyx_v_itemp[__pyx_v_i]) = __pyx_v_c; } __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(((PyObject *)__pyx_t_8)); __Pyx_AddTraceback("View.MemoryView.memoryview.assign_item_from_object", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF(__pyx_v_struct); __Pyx_XDECREF(__pyx_v_bytesvalue); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); __pyx_r = __pyx_memoryview_getbuffer_MemoryView_10memoryview_8__getbuffer__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":475 * * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< * if flags & PyBUF_STRIDES: * info.shape = self.view.shape */ static int __pyx_memoryview_getbuffer_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; Py_ssize_t *__pyx_t_2; char *__pyx_t_3; void *__pyx_t_4; int __pyx_t_5; Py_ssize_t __pyx_t_6; __Pyx_RefNannySetupContext("__getbuffer__", 0); if (__pyx_v_info != NULL) { __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); } /* "View.MemoryView":476 * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< * info.shape = self.view.shape * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_STRIDES) != 0); if (__pyx_t_1) { /* "View.MemoryView":477 * def __getbuffer__(self, Py_buffer *info, int flags): * if flags & PyBUF_STRIDES: * info.shape = self.view.shape # <<<<<<<<<<<<<< * else: * info.shape = NULL */ __pyx_t_2 = __pyx_v_self->view.shape; __pyx_v_info->shape = __pyx_t_2; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":479 * info.shape = self.view.shape * else: * info.shape = NULL # <<<<<<<<<<<<<< * * if flags & PyBUF_STRIDES: */ __pyx_v_info->shape = NULL; } __pyx_L3:; /* "View.MemoryView":481 * info.shape = NULL * * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< * info.strides = self.view.strides * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_STRIDES) != 0); if (__pyx_t_1) { /* "View.MemoryView":482 * * if flags & PyBUF_STRIDES: * info.strides = self.view.strides # <<<<<<<<<<<<<< * else: * info.strides = NULL */ __pyx_t_2 = __pyx_v_self->view.strides; __pyx_v_info->strides = __pyx_t_2; goto __pyx_L4; } /*else*/ { /* "View.MemoryView":484 * info.strides = self.view.strides * else: * info.strides = NULL # <<<<<<<<<<<<<< * * if flags & PyBUF_INDIRECT: */ __pyx_v_info->strides = NULL; } __pyx_L4:; /* "View.MemoryView":486 * info.strides = NULL * * if flags & PyBUF_INDIRECT: # <<<<<<<<<<<<<< * info.suboffsets = self.view.suboffsets * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_INDIRECT) != 0); if (__pyx_t_1) { /* "View.MemoryView":487 * * if flags & PyBUF_INDIRECT: * info.suboffsets = self.view.suboffsets # <<<<<<<<<<<<<< * else: * info.suboffsets = NULL */ __pyx_t_2 = __pyx_v_self->view.suboffsets; __pyx_v_info->suboffsets = __pyx_t_2; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":489 * info.suboffsets = self.view.suboffsets * else: * info.suboffsets = NULL # <<<<<<<<<<<<<< * * if flags & PyBUF_FORMAT: */ __pyx_v_info->suboffsets = NULL; } __pyx_L5:; /* "View.MemoryView":491 * info.suboffsets = NULL * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * info.format = self.view.format * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); if (__pyx_t_1) { /* "View.MemoryView":492 * * if flags & PyBUF_FORMAT: * info.format = self.view.format # <<<<<<<<<<<<<< * else: * info.format = NULL */ __pyx_t_3 = __pyx_v_self->view.format; __pyx_v_info->format = __pyx_t_3; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":494 * info.format = self.view.format * else: * info.format = NULL # <<<<<<<<<<<<<< * * info.buf = self.view.buf */ __pyx_v_info->format = NULL; } __pyx_L6:; /* "View.MemoryView":496 * info.format = NULL * * info.buf = self.view.buf # <<<<<<<<<<<<<< * info.ndim = self.view.ndim * info.itemsize = self.view.itemsize */ __pyx_t_4 = __pyx_v_self->view.buf; __pyx_v_info->buf = __pyx_t_4; /* "View.MemoryView":497 * * info.buf = self.view.buf * info.ndim = self.view.ndim # <<<<<<<<<<<<<< * info.itemsize = self.view.itemsize * info.len = self.view.len */ __pyx_t_5 = __pyx_v_self->view.ndim; __pyx_v_info->ndim = __pyx_t_5; /* "View.MemoryView":498 * info.buf = self.view.buf * info.ndim = self.view.ndim * info.itemsize = self.view.itemsize # <<<<<<<<<<<<<< * info.len = self.view.len * info.readonly = 0 */ __pyx_t_6 = __pyx_v_self->view.itemsize; __pyx_v_info->itemsize = __pyx_t_6; /* "View.MemoryView":499 * info.ndim = self.view.ndim * info.itemsize = self.view.itemsize * info.len = self.view.len # <<<<<<<<<<<<<< * info.readonly = 0 * info.obj = self */ __pyx_t_6 = __pyx_v_self->view.len; __pyx_v_info->len = __pyx_t_6; /* "View.MemoryView":500 * info.itemsize = self.view.itemsize * info.len = self.view.len * info.readonly = 0 # <<<<<<<<<<<<<< * info.obj = self * */ __pyx_v_info->readonly = 0; /* "View.MemoryView":501 * info.len = self.view.len * info.readonly = 0 * info.obj = self # <<<<<<<<<<<<<< * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") */ __Pyx_INCREF(((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); __pyx_r = 0; if (__pyx_v_info != NULL && __pyx_v_info->obj == Py_None) { __Pyx_GOTREF(Py_None); __Pyx_DECREF(Py_None); __pyx_v_info->obj = NULL; } __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_transpose(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_transpose(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_transpose_MemoryView_10memoryview_1T___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":508 * property T: * @cname('__pyx_memoryview_transpose') * def __get__(self): # <<<<<<<<<<<<<< * cdef _memoryviewslice result = memoryview_copy(self) * transpose_memslice(&result.from_slice) */ static PyObject *__pyx_memoryview_transpose_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self) { struct __pyx_memoryviewslice_obj *__pyx_v_result = 0; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_t_2; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":509 * @cname('__pyx_memoryview_transpose') * def __get__(self): * cdef _memoryviewslice result = memoryview_copy(self) # <<<<<<<<<<<<<< * transpose_memslice(&result.from_slice) * return result */ __pyx_t_1 = __pyx_memoryview_copy_object(__pyx_v_self); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 509; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_memoryviewslice_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 509; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_result = ((struct __pyx_memoryviewslice_obj *)__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":510 * def __get__(self): * cdef _memoryviewslice result = memoryview_copy(self) * transpose_memslice(&result.from_slice) # <<<<<<<<<<<<<< * return result * */ __pyx_t_2 = __pyx_memslice_transpose((&__pyx_v_result->from_slice)); if (unlikely(__pyx_t_2 == 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 510; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":511 * cdef _memoryviewslice result = memoryview_copy(self) * transpose_memslice(&result.from_slice) * return result # <<<<<<<<<<<<<< * * property base: */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_result)); __pyx_r = ((PyObject *)__pyx_v_result); goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.T.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_result); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview__get__base(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview__get__base(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview__get__base_MemoryView_10memoryview_4base___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":515 * property base: * @cname('__pyx_memoryview__get__base') * def __get__(self): # <<<<<<<<<<<<<< * return self.obj * */ static PyObject *__pyx_memoryview__get__base_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":516 * @cname('__pyx_memoryview__get__base') * def __get__(self): * return self.obj # <<<<<<<<<<<<<< * * property shape: */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_self->obj); __pyx_r = __pyx_v_self->obj; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_shape(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_shape(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_shape_MemoryView_10memoryview_5shape___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":520 * property shape: * @cname('__pyx_memoryview_get_shape') * def __get__(self): # <<<<<<<<<<<<<< * return tuple([self.view.shape[i] for i in xrange(self.view.ndim)]) * */ static PyObject *__pyx_memoryview_get_shape_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self) { int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_t_2; int __pyx_t_3; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":521 * @cname('__pyx_memoryview_get_shape') * def __get__(self): * return tuple([self.view.shape[i] for i in xrange(self.view.ndim)]) # <<<<<<<<<<<<<< * * property strides: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __pyx_v_self->view.ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; __pyx_t_4 = PyInt_FromSsize_t((__pyx_v_self->view.shape[__pyx_v_i])); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_4))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; } __pyx_t_4 = ((PyObject *)PyList_AsTuple(((PyObject*)__pyx_t_1))); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_r = ((PyObject *)__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.memoryview.shape.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_strides(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_strides(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_strides_MemoryView_10memoryview_7strides___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":525 * property strides: * @cname('__pyx_memoryview_get_strides') * def __get__(self): # <<<<<<<<<<<<<< * if self.view.strides == NULL: * */ static PyObject *__pyx_memoryview_get_strides_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self) { int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_t_3; int __pyx_t_4; PyObject *__pyx_t_5 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":526 * @cname('__pyx_memoryview_get_strides') * def __get__(self): * if self.view.strides == NULL: # <<<<<<<<<<<<<< * * raise ValueError("Buffer view does not expose strides") */ __pyx_t_1 = ((__pyx_v_self->view.strides == NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":528 * if self.view.strides == NULL: * * raise ValueError("Buffer view does not expose strides") # <<<<<<<<<<<<<< * * return tuple([self.view.strides[i] for i in xrange(self.view.ndim)]) */ __pyx_t_2 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_31), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 528; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_Raise(__pyx_t_2, 0, 0, 0); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 528; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":530 * raise ValueError("Buffer view does not expose strides") * * return tuple([self.view.strides[i] for i in xrange(self.view.ndim)]) # <<<<<<<<<<<<<< * * property suboffsets: */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 530; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __pyx_v_self->view.ndim; for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_i = __pyx_t_4; __pyx_t_5 = PyInt_FromSsize_t((__pyx_v_self->view.strides[__pyx_v_i])); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 530; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); if (unlikely(__Pyx_ListComp_Append(__pyx_t_2, (PyObject*)__pyx_t_5))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 530; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; } __pyx_t_5 = ((PyObject *)PyList_AsTuple(((PyObject*)__pyx_t_2))); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 530; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_r = ((PyObject *)__pyx_t_5); __pyx_t_5 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.memoryview.strides.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_suboffsets(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_suboffsets(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_suboffsets_MemoryView_10memoryview_10suboffsets___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":534 * property suboffsets: * @cname('__pyx_memoryview_get_suboffsets') * def __get__(self): # <<<<<<<<<<<<<< * if self.view.suboffsets == NULL: * return [-1] * self.view.ndim */ static PyObject *__pyx_memoryview_get_suboffsets_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self) { int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_t_3; int __pyx_t_4; PyObject *__pyx_t_5 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":535 * @cname('__pyx_memoryview_get_suboffsets') * def __get__(self): * if self.view.suboffsets == NULL: # <<<<<<<<<<<<<< * return [-1] * self.view.ndim * */ __pyx_t_1 = ((__pyx_v_self->view.suboffsets == NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":536 * def __get__(self): * if self.view.suboffsets == NULL: * return [-1] * self.view.ndim # <<<<<<<<<<<<<< * * return tuple([self.view.suboffsets[i] for i in xrange(self.view.ndim)]) */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = PyList_New(1 * ((__pyx_v_self->view.ndim<0) ? 0:__pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 536; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); { Py_ssize_t __pyx_temp; for (__pyx_temp=0; __pyx_temp < __pyx_v_self->view.ndim; __pyx_temp++) { __Pyx_INCREF(__pyx_int_neg_1); PyList_SET_ITEM(__pyx_t_2, __pyx_temp, __pyx_int_neg_1); __Pyx_GIVEREF(__pyx_int_neg_1); } } __pyx_r = ((PyObject *)__pyx_t_2); __pyx_t_2 = 0; goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":538 * return [-1] * self.view.ndim * * return tuple([self.view.suboffsets[i] for i in xrange(self.view.ndim)]) # <<<<<<<<<<<<<< * * property ndim: */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 538; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __pyx_v_self->view.ndim; for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_i = __pyx_t_4; __pyx_t_5 = PyInt_FromSsize_t((__pyx_v_self->view.suboffsets[__pyx_v_i])); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 538; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); if (unlikely(__Pyx_ListComp_Append(__pyx_t_2, (PyObject*)__pyx_t_5))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 538; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; } __pyx_t_5 = ((PyObject *)PyList_AsTuple(((PyObject*)__pyx_t_2))); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 538; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_r = ((PyObject *)__pyx_t_5); __pyx_t_5 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.memoryview.suboffsets.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_ndim(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_ndim(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_ndim_MemoryView_10memoryview_4ndim___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":542 * property ndim: * @cname('__pyx_memoryview_get_ndim') * def __get__(self): # <<<<<<<<<<<<<< * return self.view.ndim * */ static PyObject *__pyx_memoryview_get_ndim_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":543 * @cname('__pyx_memoryview_get_ndim') * def __get__(self): * return self.view.ndim # <<<<<<<<<<<<<< * * property itemsize: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyInt_FromLong(__pyx_v_self->view.ndim); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 543; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.ndim.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_itemsize(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_itemsize(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_itemsize_MemoryView_10memoryview_8itemsize___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":547 * property itemsize: * @cname('__pyx_memoryview_get_itemsize') * def __get__(self): # <<<<<<<<<<<<<< * return self.view.itemsize * */ static PyObject *__pyx_memoryview_get_itemsize_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":548 * @cname('__pyx_memoryview_get_itemsize') * def __get__(self): * return self.view.itemsize # <<<<<<<<<<<<<< * * property nbytes: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyInt_FromSsize_t(__pyx_v_self->view.itemsize); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 548; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.itemsize.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_nbytes(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_nbytes(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_nbytes_MemoryView_10memoryview_6nbytes___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":552 * property nbytes: * @cname('__pyx_memoryview_get_nbytes') * def __get__(self): # <<<<<<<<<<<<<< * return self.size * self.view.itemsize * */ static PyObject *__pyx_memoryview_get_nbytes_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":553 * @cname('__pyx_memoryview_get_nbytes') * def __get__(self): * return self.size * self.view.itemsize # <<<<<<<<<<<<<< * * property size: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__size); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 553; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_self->view.itemsize); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 553; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyNumber_Multiply(__pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 553; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_r = __pyx_t_3; __pyx_t_3 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.memoryview.nbytes.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_size(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_size(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_size_MemoryView_10memoryview_4size___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":557 * property size: * @cname('__pyx_memoryview_get_size') * def __get__(self): # <<<<<<<<<<<<<< * if self._size is None: * result = 1 */ static PyObject *__pyx_memoryview_get_size_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_v_result = NULL; PyObject *__pyx_v_length = NULL; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; Py_ssize_t __pyx_t_5; PyObject *(*__pyx_t_6)(PyObject *); int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":558 * @cname('__pyx_memoryview_get_size') * def __get__(self): * if self._size is None: # <<<<<<<<<<<<<< * result = 1 * */ __pyx_t_1 = (__pyx_v_self->_size == Py_None); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":559 * def __get__(self): * if self._size is None: * result = 1 # <<<<<<<<<<<<<< * * for length in self.shape: */ __Pyx_INCREF(__pyx_int_1); __pyx_v_result = __pyx_int_1; /* "View.MemoryView":561 * result = 1 * * for length in self.shape: # <<<<<<<<<<<<<< * result *= length * */ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__shape); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (PyList_CheckExact(__pyx_t_3) || PyTuple_CheckExact(__pyx_t_3)) { __pyx_t_4 = __pyx_t_3; __Pyx_INCREF(__pyx_t_4); __pyx_t_5 = 0; __pyx_t_6 = NULL; } else { __pyx_t_5 = -1; __pyx_t_4 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_6 = Py_TYPE(__pyx_t_4)->tp_iternext; } __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; for (;;) { if (!__pyx_t_6 && PyList_CheckExact(__pyx_t_4)) { if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_4)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_3 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else if (!__pyx_t_6 && PyTuple_CheckExact(__pyx_t_4)) { if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_4)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else { __pyx_t_3 = __pyx_t_6(__pyx_t_4); if (unlikely(!__pyx_t_3)) { if (PyErr_Occurred()) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear(); else {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } break; } __Pyx_GOTREF(__pyx_t_3); } __Pyx_XDECREF_SET(__pyx_v_length, __pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":562 * * for length in self.shape: * result *= length # <<<<<<<<<<<<<< * * self._size = result */ __pyx_t_3 = PyNumber_InPlaceMultiply(__pyx_v_result, __pyx_v_length); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 562; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF_SET(__pyx_v_result, __pyx_t_3); __pyx_t_3 = 0; } __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; /* "View.MemoryView":564 * result *= length * * self._size = result # <<<<<<<<<<<<<< * * return self._size */ __Pyx_INCREF(__pyx_v_result); __Pyx_GIVEREF(__pyx_v_result); __Pyx_GOTREF(__pyx_v_self->_size); __Pyx_DECREF(__pyx_v_self->_size); __pyx_v_self->_size = __pyx_v_result; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":566 * self._size = result * * return self._size # <<<<<<<<<<<<<< * * def __len__(self): */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_self->_size); __pyx_r = __pyx_v_self->_size; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.memoryview.size.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF(__pyx_v_result); __Pyx_XDECREF(__pyx_v_length); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static Py_ssize_t __pyx_memoryview___len__(PyObject *__pyx_v_self); /*proto*/ static Py_ssize_t __pyx_memoryview___len__(PyObject *__pyx_v_self) { Py_ssize_t __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__len__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_10__len__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":568 * return self._size * * def __len__(self): # <<<<<<<<<<<<<< * if self.view.ndim >= 1: * return self.view.shape[0] */ static Py_ssize_t __pyx_memoryview_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self) { Py_ssize_t __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("__len__", 0); /* "View.MemoryView":569 * * def __len__(self): * if self.view.ndim >= 1: # <<<<<<<<<<<<<< * return self.view.shape[0] * */ __pyx_t_1 = ((__pyx_v_self->view.ndim >= 1) != 0); if (__pyx_t_1) { /* "View.MemoryView":570 * def __len__(self): * if self.view.ndim >= 1: * return self.view.shape[0] # <<<<<<<<<<<<<< * * return 0 */ __pyx_r = (__pyx_v_self->view.shape[0]); goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":572 * return self.view.shape[0] * * return 0 # <<<<<<<<<<<<<< * * def __repr__(self): */ __pyx_r = 0; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview___repr__(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview___repr__(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__repr__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_12__repr__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":574 * return 0 * * def __repr__(self): # <<<<<<<<<<<<<< * return "" % (self.base.__class__.__name__, * id(self)) */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__repr__", 0); /* "View.MemoryView":575 * * def __repr__(self): * return "" % (self.base.__class__.__name__, # <<<<<<<<<<<<<< * id(self)) * */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__base); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s____class__); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s____name__); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; /* "View.MemoryView":576 * def __repr__(self): * return "" % (self.base.__class__.__name__, * id(self)) # <<<<<<<<<<<<<< * * def __str__(self): */ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 576; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)__pyx_v_self)); PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); __pyx_t_3 = PyObject_Call(__pyx_builtin_id, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 576; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_1 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_32), ((PyObject *)__pyx_t_2)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_r = ((PyObject *)__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.memoryview.__repr__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview___str__(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview___str__(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__str__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_14__str__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":578 * id(self)) * * def __str__(self): # <<<<<<<<<<<<<< * return "" % (self.base.__class__.__name__,) * */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__str__", 0); /* "View.MemoryView":579 * * def __str__(self): * return "" % (self.base.__class__.__name__,) # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__base); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s____class__); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s____name__); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_33), ((PyObject *)__pyx_t_2)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_r = ((PyObject *)__pyx_t_1); __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.memoryview.__str__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_is_c_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ static PyObject *__pyx_memoryview_is_c_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("is_c_contig (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_16is_c_contig(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":582 * * * def is_c_contig(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_memviewslice *__pyx_v_mslice; __Pyx_memviewslice __pyx_v_tmp; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("is_c_contig", 0); /* "View.MemoryView":584 * def is_c_contig(self): * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) # <<<<<<<<<<<<<< * return slice_is_contig(mslice, 'C', self.view.ndim) * */ __pyx_v_mslice = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_self, (&__pyx_v_tmp)); /* "View.MemoryView":585 * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) * return slice_is_contig(mslice, 'C', self.view.ndim) # <<<<<<<<<<<<<< * * def is_f_contig(self): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyBool_FromLong(__pyx_memviewslice_is_contig(__pyx_v_mslice, 'C', __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 585; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.is_c_contig", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_is_f_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ static PyObject *__pyx_memoryview_is_f_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("is_f_contig (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_18is_f_contig(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":587 * return slice_is_contig(mslice, 'C', self.view.ndim) * * def is_f_contig(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_memviewslice *__pyx_v_mslice; __Pyx_memviewslice __pyx_v_tmp; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("is_f_contig", 0); /* "View.MemoryView":589 * def is_f_contig(self): * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) # <<<<<<<<<<<<<< * return slice_is_contig(mslice, 'F', self.view.ndim) * */ __pyx_v_mslice = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_self, (&__pyx_v_tmp)); /* "View.MemoryView":590 * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) * return slice_is_contig(mslice, 'F', self.view.ndim) # <<<<<<<<<<<<<< * * def copy(self): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyBool_FromLong(__pyx_memviewslice_is_contig(__pyx_v_mslice, 'F', __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 590; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.is_f_contig", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_copy(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ static PyObject *__pyx_memoryview_copy(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("copy (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_20copy(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":592 * return slice_is_contig(mslice, 'F', self.view.ndim) * * def copy(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice mslice * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_memviewslice __pyx_v_mslice; int __pyx_v_flags; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_memviewslice __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("copy", 0); /* "View.MemoryView":594 * def copy(self): * cdef __Pyx_memviewslice mslice * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS # <<<<<<<<<<<<<< * * slice_copy(self, &mslice) */ __pyx_v_flags = (__pyx_v_self->flags & (~PyBUF_F_CONTIGUOUS)); /* "View.MemoryView":596 * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS * * slice_copy(self, &mslice) # <<<<<<<<<<<<<< * mslice = slice_copy_contig(&mslice, "c", self.view.ndim, * self.view.itemsize, */ __pyx_memoryview_slice_copy(__pyx_v_self, (&__pyx_v_mslice)); /* "View.MemoryView":600 * self.view.itemsize, * flags|PyBUF_C_CONTIGUOUS, * self.dtype_is_object) # <<<<<<<<<<<<<< * * return memoryview_copy_from_slice(self, &mslice) */ __pyx_t_1 = __pyx_memoryview_copy_new_contig((&__pyx_v_mslice), __pyx_k__c, __pyx_v_self->view.ndim, __pyx_v_self->view.itemsize, (__pyx_v_flags | PyBUF_C_CONTIGUOUS), __pyx_v_self->dtype_is_object); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 597; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_mslice = __pyx_t_1; /* "View.MemoryView":602 * self.dtype_is_object) * * return memoryview_copy_from_slice(self, &mslice) # <<<<<<<<<<<<<< * * def copy_fortran(self): */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = __pyx_memoryview_copy_object_from_slice(__pyx_v_self, (&__pyx_v_mslice)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 602; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.memoryview.copy", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_copy_fortran(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ static PyObject *__pyx_memoryview_copy_fortran(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("copy_fortran (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_22copy_fortran(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":604 * return memoryview_copy_from_slice(self, &mslice) * * def copy_fortran(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice src, dst * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_memviewslice __pyx_v_src; __Pyx_memviewslice __pyx_v_dst; int __pyx_v_flags; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_memviewslice __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("copy_fortran", 0); /* "View.MemoryView":606 * def copy_fortran(self): * cdef __Pyx_memviewslice src, dst * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS # <<<<<<<<<<<<<< * * slice_copy(self, &src) */ __pyx_v_flags = (__pyx_v_self->flags & (~PyBUF_C_CONTIGUOUS)); /* "View.MemoryView":608 * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS * * slice_copy(self, &src) # <<<<<<<<<<<<<< * dst = slice_copy_contig(&src, "fortran", self.view.ndim, * self.view.itemsize, */ __pyx_memoryview_slice_copy(__pyx_v_self, (&__pyx_v_src)); /* "View.MemoryView":612 * self.view.itemsize, * flags|PyBUF_F_CONTIGUOUS, * self.dtype_is_object) # <<<<<<<<<<<<<< * * return memoryview_copy_from_slice(self, &dst) */ __pyx_t_1 = __pyx_memoryview_copy_new_contig((&__pyx_v_src), __pyx_k__fortran, __pyx_v_self->view.ndim, __pyx_v_self->view.itemsize, (__pyx_v_flags | PyBUF_F_CONTIGUOUS), __pyx_v_self->dtype_is_object); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 609; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_dst = __pyx_t_1; /* "View.MemoryView":614 * self.dtype_is_object) * * return memoryview_copy_from_slice(self, &dst) # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = __pyx_memoryview_copy_object_from_slice(__pyx_v_self, (&__pyx_v_dst)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 614; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.memoryview.copy_fortran", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":618 * * @cname('__pyx_memoryview_new') * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): # <<<<<<<<<<<<<< * cdef memoryview result = memoryview(o, flags, dtype_is_object) * result.typeinfo = typeinfo */ static PyObject *__pyx_memoryview_new(PyObject *__pyx_v_o, int __pyx_v_flags, int __pyx_v_dtype_is_object, __Pyx_TypeInfo *__pyx_v_typeinfo) { struct __pyx_memoryview_obj *__pyx_v_result = 0; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memoryview_cwrapper", 0); /* "View.MemoryView":619 * @cname('__pyx_memoryview_new') * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): * cdef memoryview result = memoryview(o, flags, dtype_is_object) # <<<<<<<<<<<<<< * result.typeinfo = typeinfo * return result */ __pyx_t_1 = PyInt_FromLong(__pyx_v_flags); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 619; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_dtype_is_object); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 619; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 619; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(__pyx_v_o); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_o); __Pyx_GIVEREF(__pyx_v_o); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_1 = 0; __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(((PyObject *)((PyObject *)__pyx_memoryview_type)), ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 619; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_v_result = ((struct __pyx_memoryview_obj *)__pyx_t_2); __pyx_t_2 = 0; /* "View.MemoryView":620 * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): * cdef memoryview result = memoryview(o, flags, dtype_is_object) * result.typeinfo = typeinfo # <<<<<<<<<<<<<< * return result * */ __pyx_v_result->typeinfo = __pyx_v_typeinfo; /* "View.MemoryView":621 * cdef memoryview result = memoryview(o, flags, dtype_is_object) * result.typeinfo = typeinfo * return result # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_check') */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_result)); __pyx_r = ((PyObject *)__pyx_v_result); goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.memoryview_cwrapper", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_result); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":624 * * @cname('__pyx_memoryview_check') * cdef inline bint memoryview_check(object o): # <<<<<<<<<<<<<< * return isinstance(o, memoryview) * */ static CYTHON_INLINE int __pyx_memoryview_check(PyObject *__pyx_v_o) { int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("memoryview_check", 0); /* "View.MemoryView":625 * @cname('__pyx_memoryview_check') * cdef inline bint memoryview_check(object o): * return isinstance(o, memoryview) # <<<<<<<<<<<<<< * * cdef tuple _unellipsify(object index, int ndim): */ __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_o, ((PyObject *)__pyx_memoryview_type)); __pyx_r = __pyx_t_1; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":627 * return isinstance(o, memoryview) * * cdef tuple _unellipsify(object index, int ndim): # <<<<<<<<<<<<<< * """ * Replace all ellipses with full slices and fill incomplete indices with */ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { PyObject *__pyx_v_tup = NULL; PyObject *__pyx_v_result = NULL; PyObject *__pyx_v_have_slices = NULL; int __pyx_v_seen_ellipsis; CYTHON_UNUSED PyObject *__pyx_v_idx = NULL; PyObject *__pyx_v_item = NULL; PyObject *__pyx_v_nslices = NULL; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; Py_ssize_t __pyx_t_5; PyObject *(*__pyx_t_6)(PyObject *); PyObject *__pyx_t_7 = NULL; PyObject *__pyx_t_8 = NULL; Py_ssize_t __pyx_t_9; PyObject *__pyx_t_10 = NULL; int __pyx_t_11; int __pyx_t_12; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("_unellipsify", 0); /* "View.MemoryView":632 * full slices. * """ * if not isinstance(index, tuple): # <<<<<<<<<<<<<< * tup = (index,) * else: */ __pyx_t_1 = PyTuple_Check(__pyx_v_index); __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":633 * """ * if not isinstance(index, tuple): * tup = (index,) # <<<<<<<<<<<<<< * else: * tup = index */ __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(__pyx_v_index); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_index); __Pyx_GIVEREF(__pyx_v_index); __pyx_v_tup = ((PyObject *)__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":635 * tup = (index,) * else: * tup = index # <<<<<<<<<<<<<< * * result = [] */ __Pyx_INCREF(__pyx_v_index); __pyx_v_tup = __pyx_v_index; } __pyx_L3:; /* "View.MemoryView":637 * tup = index * * result = [] # <<<<<<<<<<<<<< * have_slices = False * seen_ellipsis = False */ __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 637; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_result = ((PyObject*)__pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":638 * * result = [] * have_slices = False # <<<<<<<<<<<<<< * seen_ellipsis = False * for idx, item in enumerate(tup): */ __pyx_t_3 = __Pyx_PyBool_FromLong(0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 638; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_have_slices = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":639 * result = [] * have_slices = False * seen_ellipsis = False # <<<<<<<<<<<<<< * for idx, item in enumerate(tup): * if item is Ellipsis: */ __pyx_v_seen_ellipsis = 0; /* "View.MemoryView":640 * have_slices = False * seen_ellipsis = False * for idx, item in enumerate(tup): # <<<<<<<<<<<<<< * if item is Ellipsis: * if not seen_ellipsis: */ __Pyx_INCREF(__pyx_int_0); __pyx_t_3 = __pyx_int_0; if (PyList_CheckExact(__pyx_v_tup) || PyTuple_CheckExact(__pyx_v_tup)) { __pyx_t_4 = __pyx_v_tup; __Pyx_INCREF(__pyx_t_4); __pyx_t_5 = 0; __pyx_t_6 = NULL; } else { __pyx_t_5 = -1; __pyx_t_4 = PyObject_GetIter(__pyx_v_tup); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_6 = Py_TYPE(__pyx_t_4)->tp_iternext; } for (;;) { if (!__pyx_t_6 && PyList_CheckExact(__pyx_t_4)) { if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_4)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_7 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_7 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else if (!__pyx_t_6 && PyTuple_CheckExact(__pyx_t_4)) { if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_4)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_7 = PyTuple_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_7 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else { __pyx_t_7 = __pyx_t_6(__pyx_t_4); if (unlikely(!__pyx_t_7)) { if (PyErr_Occurred()) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear(); else {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } break; } __Pyx_GOTREF(__pyx_t_7); } __Pyx_XDECREF_SET(__pyx_v_item, __pyx_t_7); __pyx_t_7 = 0; __Pyx_INCREF(__pyx_t_3); __Pyx_XDECREF_SET(__pyx_v_idx, __pyx_t_3); __pyx_t_7 = PyNumber_Add(__pyx_t_3, __pyx_int_1); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_7); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = __pyx_t_7; __pyx_t_7 = 0; /* "View.MemoryView":641 * seen_ellipsis = False * for idx, item in enumerate(tup): * if item is Ellipsis: # <<<<<<<<<<<<<< * if not seen_ellipsis: * result.extend([slice(None)] * (ndim - len(tup) + 1)) */ __pyx_t_2 = (__pyx_v_item == __pyx_builtin_Ellipsis); __pyx_t_1 = (__pyx_t_2 != 0); if (__pyx_t_1) { /* "View.MemoryView":642 * for idx, item in enumerate(tup): * if item is Ellipsis: * if not seen_ellipsis: # <<<<<<<<<<<<<< * result.extend([slice(None)] * (ndim - len(tup) + 1)) * seen_ellipsis = True */ __pyx_t_1 = ((!(__pyx_v_seen_ellipsis != 0)) != 0); if (__pyx_t_1) { /* "View.MemoryView":643 * if item is Ellipsis: * if not seen_ellipsis: * result.extend([slice(None)] * (ndim - len(tup) + 1)) # <<<<<<<<<<<<<< * seen_ellipsis = True * else: */ __pyx_t_7 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_result), __pyx_n_s__extend); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_7); __pyx_t_8 = PyObject_Call(((PyObject *)((PyObject*)(&PySlice_Type))), ((PyObject *)__pyx_k_tuple_34), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __pyx_t_9 = PyObject_Length(__pyx_v_tup); if (unlikely(__pyx_t_9 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_10 = PyList_New(1 * ((((__pyx_v_ndim - __pyx_t_9) + 1)<0) ? 0:((__pyx_v_ndim - __pyx_t_9) + 1))); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); { Py_ssize_t __pyx_temp; for (__pyx_temp=0; __pyx_temp < ((__pyx_v_ndim - __pyx_t_9) + 1); __pyx_temp++) { __Pyx_INCREF(__pyx_t_8); PyList_SET_ITEM(__pyx_t_10, __pyx_temp, __pyx_t_8); __Pyx_GIVEREF(__pyx_t_8); } } __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; __pyx_t_8 = PyTuple_New(1); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_8, 0, ((PyObject *)__pyx_t_10)); __Pyx_GIVEREF(((PyObject *)__pyx_t_10)); __pyx_t_10 = 0; __pyx_t_10 = PyObject_Call(__pyx_t_7, ((PyObject *)__pyx_t_8), NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; /* "View.MemoryView":644 * if not seen_ellipsis: * result.extend([slice(None)] * (ndim - len(tup) + 1)) * seen_ellipsis = True # <<<<<<<<<<<<<< * else: * result.append(slice(None)) */ __pyx_v_seen_ellipsis = 1; goto __pyx_L7; } /*else*/ { /* "View.MemoryView":646 * seen_ellipsis = True * else: * result.append(slice(None)) # <<<<<<<<<<<<<< * have_slices = True * else: */ __pyx_t_10 = PyObject_Call(((PyObject *)((PyObject*)(&PySlice_Type))), ((PyObject *)__pyx_k_tuple_35), NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 646; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __pyx_t_11 = __Pyx_PyList_Append(__pyx_v_result, __pyx_t_10); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 646; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; } __pyx_L7:; /* "View.MemoryView":647 * else: * result.append(slice(None)) * have_slices = True # <<<<<<<<<<<<<< * else: * if not isinstance(item, slice) and not PyIndex_Check(item): */ __pyx_t_10 = __Pyx_PyBool_FromLong(1); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 647; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_DECREF_SET(__pyx_v_have_slices, __pyx_t_10); __pyx_t_10 = 0; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":649 * have_slices = True * else: * if not isinstance(item, slice) and not PyIndex_Check(item): # <<<<<<<<<<<<<< * raise TypeError("Cannot index with type '%s'" % type(item)) * */ __pyx_t_1 = PySlice_Check(__pyx_v_item); __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { __pyx_t_1 = ((!(__Pyx_PyIndex_Check(__pyx_v_item) != 0)) != 0); __pyx_t_12 = __pyx_t_1; } else { __pyx_t_12 = __pyx_t_2; } if (__pyx_t_12) { /* "View.MemoryView":650 * else: * if not isinstance(item, slice) and not PyIndex_Check(item): * raise TypeError("Cannot index with type '%s'" % type(item)) # <<<<<<<<<<<<<< * * have_slices = have_slices or isinstance(item, slice) */ __pyx_t_10 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_36), ((PyObject *)Py_TYPE(__pyx_v_item))); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_10)); __pyx_t_8 = PyTuple_New(1); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_8, 0, ((PyObject *)__pyx_t_10)); __Pyx_GIVEREF(((PyObject *)__pyx_t_10)); __pyx_t_10 = 0; __pyx_t_10 = PyObject_Call(__pyx_builtin_TypeError, ((PyObject *)__pyx_t_8), NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __Pyx_Raise(__pyx_t_10, 0, 0, 0); __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; /* "View.MemoryView":652 * raise TypeError("Cannot index with type '%s'" % type(item)) * * have_slices = have_slices or isinstance(item, slice) # <<<<<<<<<<<<<< * result.append(item) * */ __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_12 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 652; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_12) { __pyx_t_12 = PySlice_Check(__pyx_v_item); __pyx_t_10 = __Pyx_PyBool_FromLong(__pyx_t_12); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 652; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __pyx_t_8 = __pyx_t_10; __pyx_t_10 = 0; } else { __Pyx_INCREF(__pyx_v_have_slices); __pyx_t_8 = __pyx_v_have_slices; } __Pyx_DECREF_SET(__pyx_v_have_slices, __pyx_t_8); __pyx_t_8 = 0; /* "View.MemoryView":653 * * have_slices = have_slices or isinstance(item, slice) * result.append(item) # <<<<<<<<<<<<<< * * nslices = ndim - len(result) */ __pyx_t_11 = __Pyx_PyList_Append(__pyx_v_result, __pyx_v_item); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 653; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L6:; } __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":655 * result.append(item) * * nslices = ndim - len(result) # <<<<<<<<<<<<<< * if nslices: * result.extend([slice(None)] * nslices) */ __pyx_t_5 = PyList_GET_SIZE(((PyObject *)__pyx_v_result)); if (unlikely(__pyx_t_5 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 655; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_3 = PyInt_FromSsize_t((__pyx_v_ndim - __pyx_t_5)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 655; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_nslices = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":656 * * nslices = ndim - len(result) * if nslices: # <<<<<<<<<<<<<< * result.extend([slice(None)] * nslices) * */ __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_v_nslices); if (unlikely(__pyx_t_12 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 656; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_12) { /* "View.MemoryView":657 * nslices = ndim - len(result) * if nslices: * result.extend([slice(None)] * nslices) # <<<<<<<<<<<<<< * * return have_slices or nslices, tuple(result) */ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_result), __pyx_n_s__extend); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyObject_Call(((PyObject *)((PyObject*)(&PySlice_Type))), ((PyObject *)__pyx_k_tuple_37), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_8 = PyList_New(1); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); PyList_SET_ITEM(__pyx_t_8, 0, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); { PyObject* __pyx_temp = PyNumber_InPlaceMultiply(__pyx_t_8, __pyx_v_nslices); if (unlikely(!__pyx_temp)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_temp); __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = __pyx_temp; } __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_8)); __Pyx_GIVEREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __pyx_t_8 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; goto __pyx_L9; } __pyx_L9:; /* "View.MemoryView":659 * result.extend([slice(None)] * nslices) * * return have_slices or nslices, tuple(result) # <<<<<<<<<<<<<< * * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): */ __Pyx_XDECREF(((PyObject *)__pyx_r)); __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_12 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 659; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_12) { __Pyx_INCREF(__pyx_v_nslices); __pyx_t_8 = __pyx_v_nslices; } else { __Pyx_INCREF(__pyx_v_have_slices); __pyx_t_8 = __pyx_v_have_slices; } __pyx_t_4 = ((PyObject *)PyList_AsTuple(__pyx_v_result)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 659; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 659; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_8); __Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)__pyx_t_4)); __Pyx_GIVEREF(((PyObject *)__pyx_t_4)); __pyx_t_8 = 0; __pyx_t_4 = 0; __pyx_r = ((PyObject*)__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L0; __pyx_r = ((PyObject*)Py_None); __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_7); __Pyx_XDECREF(__pyx_t_8); __Pyx_XDECREF(__pyx_t_10); __Pyx_AddTraceback("View.MemoryView._unellipsify", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF(__pyx_v_tup); __Pyx_XDECREF(__pyx_v_result); __Pyx_XDECREF(__pyx_v_have_slices); __Pyx_XDECREF(__pyx_v_idx); __Pyx_XDECREF(__pyx_v_item); __Pyx_XDECREF(__pyx_v_nslices); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":661 * return have_slices or nslices, tuple(result) * * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): # <<<<<<<<<<<<<< * cdef int i * for i in range(ndim): */ static PyObject *assert_direct_dimensions(Py_ssize_t *__pyx_v_suboffsets, int __pyx_v_ndim) { int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("assert_direct_dimensions", 0); /* "View.MemoryView":663 * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): * cdef int i * for i in range(ndim): # <<<<<<<<<<<<<< * if suboffsets[i] >= 0: * raise ValueError("Indirect dimensions not supported") */ __pyx_t_1 = __pyx_v_ndim; for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) { __pyx_v_i = __pyx_t_2; /* "View.MemoryView":664 * cdef int i * for i in range(ndim): * if suboffsets[i] >= 0: # <<<<<<<<<<<<<< * raise ValueError("Indirect dimensions not supported") * */ __pyx_t_3 = (((__pyx_v_suboffsets[__pyx_v_i]) >= 0) != 0); if (__pyx_t_3) { /* "View.MemoryView":665 * for i in range(ndim): * if suboffsets[i] >= 0: * raise ValueError("Indirect dimensions not supported") # <<<<<<<<<<<<<< * * */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_39), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 665; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 665; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; } __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.assert_direct_dimensions", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":672 * * @cname('__pyx_memview_slice') * cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<< * cdef int new_ndim = 0, suboffset_dim = -1, dim * cdef bint negative_step */ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *__pyx_v_memview, PyObject *__pyx_v_indices) { int __pyx_v_new_ndim; int __pyx_v_suboffset_dim; int __pyx_v_dim; __Pyx_memviewslice __pyx_v_src; __Pyx_memviewslice __pyx_v_dst; __Pyx_memviewslice *__pyx_v_p_src; struct __pyx_memoryviewslice_obj *__pyx_v_memviewsliceobj = 0; __Pyx_memviewslice *__pyx_v_p_dst; int *__pyx_v_p_suboffset_dim; Py_ssize_t __pyx_v_start; Py_ssize_t __pyx_v_stop; Py_ssize_t __pyx_v_step; int __pyx_v_have_start; int __pyx_v_have_stop; int __pyx_v_have_step; PyObject *__pyx_v_index = NULL; struct __pyx_memoryview_obj *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; struct __pyx_memoryview_obj *__pyx_t_3; char *__pyx_t_4; int __pyx_t_5; PyObject *__pyx_t_6 = NULL; Py_ssize_t __pyx_t_7; PyObject *(*__pyx_t_8)(PyObject *); PyObject *__pyx_t_9 = NULL; Py_ssize_t __pyx_t_10; int __pyx_t_11; PyObject *__pyx_t_12 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memview_slice", 0); /* "View.MemoryView":673 * @cname('__pyx_memview_slice') * cdef memoryview memview_slice(memoryview memview, object indices): * cdef int new_ndim = 0, suboffset_dim = -1, dim # <<<<<<<<<<<<<< * cdef bint negative_step * cdef __Pyx_memviewslice src, dst */ __pyx_v_new_ndim = 0; __pyx_v_suboffset_dim = -1; /* "View.MemoryView":680 * * * memset(&dst, 0, sizeof(dst)) # <<<<<<<<<<<<<< * * cdef _memoryviewslice memviewsliceobj */ memset((&__pyx_v_dst), 0, (sizeof(__pyx_v_dst))); /* "View.MemoryView":684 * cdef _memoryviewslice memviewsliceobj * * assert memview.view.ndim > 0 # <<<<<<<<<<<<<< * * if isinstance(memview, _memoryviewslice): */ #ifndef CYTHON_WITHOUT_ASSERTIONS if (unlikely(!((__pyx_v_memview->view.ndim > 0) != 0))) { PyErr_SetNone(PyExc_AssertionError); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 684; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } #endif /* "View.MemoryView":686 * assert memview.view.ndim > 0 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * memviewsliceobj = memview * p_src = &memviewsliceobj.from_slice */ __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), ((PyObject *)__pyx_memoryviewslice_type)); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":687 * * if isinstance(memview, _memoryviewslice): * memviewsliceobj = memview # <<<<<<<<<<<<<< * p_src = &memviewsliceobj.from_slice * else: */ if (!(likely(((((PyObject *)__pyx_v_memview)) == Py_None) || likely(__Pyx_TypeTest(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 687; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_INCREF(((PyObject *)__pyx_v_memview)); __pyx_v_memviewsliceobj = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview); /* "View.MemoryView":688 * if isinstance(memview, _memoryviewslice): * memviewsliceobj = memview * p_src = &memviewsliceobj.from_slice # <<<<<<<<<<<<<< * else: * slice_copy(memview, &src) */ __pyx_v_p_src = (&__pyx_v_memviewsliceobj->from_slice); goto __pyx_L3; } /*else*/ { /* "View.MemoryView":690 * p_src = &memviewsliceobj.from_slice * else: * slice_copy(memview, &src) # <<<<<<<<<<<<<< * p_src = &src * */ __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_src)); /* "View.MemoryView":691 * else: * slice_copy(memview, &src) * p_src = &src # <<<<<<<<<<<<<< * * */ __pyx_v_p_src = (&__pyx_v_src); } __pyx_L3:; /* "View.MemoryView":697 * * * dst.memview = p_src.memview # <<<<<<<<<<<<<< * dst.data = p_src.data * */ __pyx_t_3 = __pyx_v_p_src->memview; __pyx_v_dst.memview = __pyx_t_3; /* "View.MemoryView":698 * * dst.memview = p_src.memview * dst.data = p_src.data # <<<<<<<<<<<<<< * * */ __pyx_t_4 = __pyx_v_p_src->data; __pyx_v_dst.data = __pyx_t_4; /* "View.MemoryView":703 * * * cdef __Pyx_memviewslice *p_dst = &dst # <<<<<<<<<<<<<< * cdef int *p_suboffset_dim = &suboffset_dim * cdef Py_ssize_t start, stop, step */ __pyx_v_p_dst = (&__pyx_v_dst); /* "View.MemoryView":704 * * cdef __Pyx_memviewslice *p_dst = &dst * cdef int *p_suboffset_dim = &suboffset_dim # <<<<<<<<<<<<<< * cdef Py_ssize_t start, stop, step * cdef bint have_start, have_stop, have_step */ __pyx_v_p_suboffset_dim = (&__pyx_v_suboffset_dim); /* "View.MemoryView":708 * cdef bint have_start, have_stop, have_step * * for dim, index in enumerate(indices): # <<<<<<<<<<<<<< * if PyIndex_Check(index): * slice_memviewslice( */ __pyx_t_5 = 0; if (PyList_CheckExact(__pyx_v_indices) || PyTuple_CheckExact(__pyx_v_indices)) { __pyx_t_6 = __pyx_v_indices; __Pyx_INCREF(__pyx_t_6); __pyx_t_7 = 0; __pyx_t_8 = NULL; } else { __pyx_t_7 = -1; __pyx_t_6 = PyObject_GetIter(__pyx_v_indices); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __pyx_t_8 = Py_TYPE(__pyx_t_6)->tp_iternext; } for (;;) { if (!__pyx_t_8 && PyList_CheckExact(__pyx_t_6)) { if (__pyx_t_7 >= PyList_GET_SIZE(__pyx_t_6)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_9 = PyList_GET_ITEM(__pyx_t_6, __pyx_t_7); __Pyx_INCREF(__pyx_t_9); __pyx_t_7++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_9 = PySequence_ITEM(__pyx_t_6, __pyx_t_7); __pyx_t_7++; if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else if (!__pyx_t_8 && PyTuple_CheckExact(__pyx_t_6)) { if (__pyx_t_7 >= PyTuple_GET_SIZE(__pyx_t_6)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_9 = PyTuple_GET_ITEM(__pyx_t_6, __pyx_t_7); __Pyx_INCREF(__pyx_t_9); __pyx_t_7++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_9 = PySequence_ITEM(__pyx_t_6, __pyx_t_7); __pyx_t_7++; if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else { __pyx_t_9 = __pyx_t_8(__pyx_t_6); if (unlikely(!__pyx_t_9)) { if (PyErr_Occurred()) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear(); else {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } break; } __Pyx_GOTREF(__pyx_t_9); } __Pyx_XDECREF_SET(__pyx_v_index, __pyx_t_9); __pyx_t_9 = 0; __pyx_v_dim = __pyx_t_5; __pyx_t_5 = (__pyx_t_5 + 1); /* "View.MemoryView":709 * * for dim, index in enumerate(indices): * if PyIndex_Check(index): # <<<<<<<<<<<<<< * slice_memviewslice( * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], */ __pyx_t_2 = (__Pyx_PyIndex_Check(__pyx_v_index) != 0); if (__pyx_t_2) { /* "View.MemoryView":713 * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], * dim, new_ndim, p_suboffset_dim, * index, 0, 0, # start, stop, step # <<<<<<<<<<<<<< * 0, 0, 0, # have_{start,stop,step} * False) */ __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_v_index); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 713; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":715 * index, 0, 0, # start, stop, step * 0, 0, 0, # have_{start,stop,step} * False) # <<<<<<<<<<<<<< * elif index is None: * p_dst.shape[new_ndim] = 1 */ __pyx_t_11 = __pyx_memoryview_slice_memviewslice(__pyx_v_p_dst, (__pyx_v_p_src->shape[__pyx_v_dim]), (__pyx_v_p_src->strides[__pyx_v_dim]), (__pyx_v_p_src->suboffsets[__pyx_v_dim]), __pyx_v_dim, __pyx_v_new_ndim, __pyx_v_p_suboffset_dim, __pyx_t_10, 0, 0, 0, 0, 0, 0); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 710; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } /* "View.MemoryView":716 * 0, 0, 0, # have_{start,stop,step} * False) * elif index is None: # <<<<<<<<<<<<<< * p_dst.shape[new_ndim] = 1 * p_dst.strides[new_ndim] = 0 */ __pyx_t_2 = (__pyx_v_index == Py_None); __pyx_t_1 = (__pyx_t_2 != 0); if (__pyx_t_1) { /* "View.MemoryView":717 * False) * elif index is None: * p_dst.shape[new_ndim] = 1 # <<<<<<<<<<<<<< * p_dst.strides[new_ndim] = 0 * p_dst.suboffsets[new_ndim] = -1 */ (__pyx_v_p_dst->shape[__pyx_v_new_ndim]) = 1; /* "View.MemoryView":718 * elif index is None: * p_dst.shape[new_ndim] = 1 * p_dst.strides[new_ndim] = 0 # <<<<<<<<<<<<<< * p_dst.suboffsets[new_ndim] = -1 * new_ndim += 1 */ (__pyx_v_p_dst->strides[__pyx_v_new_ndim]) = 0; /* "View.MemoryView":719 * p_dst.shape[new_ndim] = 1 * p_dst.strides[new_ndim] = 0 * p_dst.suboffsets[new_ndim] = -1 # <<<<<<<<<<<<<< * new_ndim += 1 * else: */ (__pyx_v_p_dst->suboffsets[__pyx_v_new_ndim]) = -1; /* "View.MemoryView":720 * p_dst.strides[new_ndim] = 0 * p_dst.suboffsets[new_ndim] = -1 * new_ndim += 1 # <<<<<<<<<<<<<< * else: * start = index.start or 0 */ __pyx_v_new_ndim = (__pyx_v_new_ndim + 1); goto __pyx_L6; } /*else*/ { /* "View.MemoryView":722 * new_ndim += 1 * else: * start = index.start or 0 # <<<<<<<<<<<<<< * stop = index.stop or 0 * step = index.step or 0 */ __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__start); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 722; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_9); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 722; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_1) { __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __Pyx_INCREF(__pyx_int_0); __pyx_t_12 = __pyx_int_0; } else { __pyx_t_12 = __pyx_t_9; __pyx_t_9 = 0; } __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_t_12); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 722; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_start = __pyx_t_10; /* "View.MemoryView":723 * else: * start = index.start or 0 * stop = index.stop or 0 # <<<<<<<<<<<<<< * step = index.step or 0 * */ __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__stop); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 723; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_12); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_12); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 723; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_1) { __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __Pyx_INCREF(__pyx_int_0); __pyx_t_9 = __pyx_int_0; } else { __pyx_t_9 = __pyx_t_12; __pyx_t_12 = 0; } __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_t_9); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 723; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __pyx_v_stop = __pyx_t_10; /* "View.MemoryView":724 * start = index.start or 0 * stop = index.stop or 0 * step = index.step or 0 # <<<<<<<<<<<<<< * * have_start = index.start is not None */ __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__step); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 724; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_9); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 724; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_1) { __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __Pyx_INCREF(__pyx_int_0); __pyx_t_12 = __pyx_int_0; } else { __pyx_t_12 = __pyx_t_9; __pyx_t_9 = 0; } __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_t_12); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 724; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_step = __pyx_t_10; /* "View.MemoryView":726 * step = index.step or 0 * * have_start = index.start is not None # <<<<<<<<<<<<<< * have_stop = index.stop is not None * have_step = index.step is not None */ __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__start); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 726; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_12); __pyx_t_1 = (__pyx_t_12 != Py_None); __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_have_start = __pyx_t_1; /* "View.MemoryView":727 * * have_start = index.start is not None * have_stop = index.stop is not None # <<<<<<<<<<<<<< * have_step = index.step is not None * */ __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__stop); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 727; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_12); __pyx_t_1 = (__pyx_t_12 != Py_None); __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_have_stop = __pyx_t_1; /* "View.MemoryView":728 * have_start = index.start is not None * have_stop = index.stop is not None * have_step = index.step is not None # <<<<<<<<<<<<<< * * slice_memviewslice( */ __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__step); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 728; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_12); __pyx_t_1 = (__pyx_t_12 != Py_None); __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_have_step = __pyx_t_1; /* "View.MemoryView":735 * start, stop, step, * have_start, have_stop, have_step, * True) # <<<<<<<<<<<<<< * new_ndim += 1 * */ __pyx_t_11 = __pyx_memoryview_slice_memviewslice(__pyx_v_p_dst, (__pyx_v_p_src->shape[__pyx_v_dim]), (__pyx_v_p_src->strides[__pyx_v_dim]), (__pyx_v_p_src->suboffsets[__pyx_v_dim]), __pyx_v_dim, __pyx_v_new_ndim, __pyx_v_p_suboffset_dim, __pyx_v_start, __pyx_v_stop, __pyx_v_step, __pyx_v_have_start, __pyx_v_have_stop, __pyx_v_have_step, 1); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 730; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":736 * have_start, have_stop, have_step, * True) * new_ndim += 1 # <<<<<<<<<<<<<< * * if isinstance(memview, _memoryviewslice): */ __pyx_v_new_ndim = (__pyx_v_new_ndim + 1); } __pyx_L6:; } __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; /* "View.MemoryView":738 * new_ndim += 1 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * return memoryview_fromslice(dst, new_ndim, * memviewsliceobj.to_object_func, */ __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), ((PyObject *)__pyx_memoryviewslice_type)); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":739 * * if isinstance(memview, _memoryviewslice): * return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<< * memviewsliceobj.to_object_func, * memviewsliceobj.to_dtype_func, */ __Pyx_XDECREF(((PyObject *)__pyx_r)); /* "View.MemoryView":740 * if isinstance(memview, _memoryviewslice): * return memoryview_fromslice(dst, new_ndim, * memviewsliceobj.to_object_func, # <<<<<<<<<<<<<< * memviewsliceobj.to_dtype_func, * memview.dtype_is_object) */ if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 740; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } /* "View.MemoryView":742 * memviewsliceobj.to_object_func, * memviewsliceobj.to_dtype_func, * memview.dtype_is_object) # <<<<<<<<<<<<<< * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, */ __pyx_t_6 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, __pyx_v_memviewsliceobj->to_object_func, __pyx_v_memviewsliceobj->to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 739; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 739; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_6); __pyx_t_6 = 0; goto __pyx_L0; goto __pyx_L7; } /*else*/ { /* "View.MemoryView":744 * memview.dtype_is_object) * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<< * memview.dtype_is_object) * */ __Pyx_XDECREF(((PyObject *)__pyx_r)); /* "View.MemoryView":745 * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, * memview.dtype_is_object) # <<<<<<<<<<<<<< * * */ __pyx_t_6 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, NULL, NULL, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 744; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 744; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_6); __pyx_t_6 = 0; goto __pyx_L0; } __pyx_L7:; __pyx_r = ((struct __pyx_memoryview_obj *)Py_None); __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_9); __Pyx_XDECREF(__pyx_t_12); __Pyx_AddTraceback("View.MemoryView.memview_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_memviewsliceobj); __Pyx_XDECREF(__pyx_v_index); __Pyx_XGIVEREF((PyObject *)__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":769 * * @cname('__pyx_memoryview_slice_memviewslice') * cdef int slice_memviewslice( # <<<<<<<<<<<<<< * __Pyx_memviewslice *dst, * Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset, */ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, Py_ssize_t __pyx_v_shape, Py_ssize_t __pyx_v_stride, Py_ssize_t __pyx_v_suboffset, int __pyx_v_dim, int __pyx_v_new_ndim, int *__pyx_v_suboffset_dim, Py_ssize_t __pyx_v_start, Py_ssize_t __pyx_v_stop, Py_ssize_t __pyx_v_step, int __pyx_v_have_start, int __pyx_v_have_stop, int __pyx_v_have_step, int __pyx_v_is_slice) { Py_ssize_t __pyx_v_new_shape; int __pyx_v_negative_step; int __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; /* "View.MemoryView":789 * cdef bint negative_step * * if not is_slice: # <<<<<<<<<<<<<< * * if start < 0: */ __pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0); if (__pyx_t_1) { /* "View.MemoryView":791 * if not is_slice: * * if start < 0: # <<<<<<<<<<<<<< * start += shape * if not 0 <= start < shape: */ __pyx_t_1 = ((__pyx_v_start < 0) != 0); if (__pyx_t_1) { /* "View.MemoryView":792 * * if start < 0: * start += shape # <<<<<<<<<<<<<< * if not 0 <= start < shape: * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":793 * if start < 0: * start += shape * if not 0 <= start < shape: # <<<<<<<<<<<<<< * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) * else: */ __pyx_t_1 = (0 <= __pyx_v_start); if (__pyx_t_1) { __pyx_t_1 = (__pyx_v_start < __pyx_v_shape); } __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":794 * start += shape * if not 0 <= start < shape: * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<< * else: * */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, __pyx_k_40, __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":797 * else: * * negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<< * * if have_step and step == 0: */ __pyx_t_2 = (__pyx_v_have_step != 0); if (__pyx_t_2) { __pyx_t_1 = (__pyx_v_step < 0); __pyx_t_4 = __pyx_t_1; } else { __pyx_t_4 = __pyx_t_2; } __pyx_v_negative_step = __pyx_t_4; /* "View.MemoryView":799 * negative_step = have_step != 0 and step < 0 * * if have_step and step == 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) * */ if ((__pyx_v_have_step != 0)) { __pyx_t_4 = (__pyx_v_step == 0); __pyx_t_2 = __pyx_t_4; } else { __pyx_t_2 = (__pyx_v_have_step != 0); } if (__pyx_t_2) { /* "View.MemoryView":800 * * if have_step and step == 0: * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<< * * */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, __pyx_k_41, __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 800; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; /* "View.MemoryView":803 * * * if have_start: # <<<<<<<<<<<<<< * if start < 0: * start += shape */ __pyx_t_2 = (__pyx_v_have_start != 0); if (__pyx_t_2) { /* "View.MemoryView":804 * * if have_start: * if start < 0: # <<<<<<<<<<<<<< * start += shape * if start < 0: */ __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":805 * if have_start: * if start < 0: * start += shape # <<<<<<<<<<<<<< * if start < 0: * start = 0 */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); /* "View.MemoryView":806 * if start < 0: * start += shape * if start < 0: # <<<<<<<<<<<<<< * start = 0 * elif start >= shape: */ __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":807 * start += shape * if start < 0: * start = 0 # <<<<<<<<<<<<<< * elif start >= shape: * if negative_step: */ __pyx_v_start = 0; goto __pyx_L9; } __pyx_L9:; goto __pyx_L8; } /* "View.MemoryView":808 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< * if negative_step: * start = shape - 1 */ __pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":809 * start = 0 * elif start >= shape: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":810 * elif start >= shape: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< * else: * start = shape */ __pyx_v_start = (__pyx_v_shape - 1); goto __pyx_L10; } /*else*/ { /* "View.MemoryView":812 * start = shape - 1 * else: * start = shape # <<<<<<<<<<<<<< * else: * if negative_step: */ __pyx_v_start = __pyx_v_shape; } __pyx_L10:; goto __pyx_L8; } __pyx_L8:; goto __pyx_L7; } /*else*/ { /* "View.MemoryView":814 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":815 * else: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< * else: * start = 0 */ __pyx_v_start = (__pyx_v_shape - 1); goto __pyx_L11; } /*else*/ { /* "View.MemoryView":817 * start = shape - 1 * else: * start = 0 # <<<<<<<<<<<<<< * * if have_stop: */ __pyx_v_start = 0; } __pyx_L11:; } __pyx_L7:; /* "View.MemoryView":819 * start = 0 * * if have_stop: # <<<<<<<<<<<<<< * if stop < 0: * stop += shape */ __pyx_t_2 = (__pyx_v_have_stop != 0); if (__pyx_t_2) { /* "View.MemoryView":820 * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< * stop += shape * if stop < 0: */ __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":821 * if have_stop: * if stop < 0: * stop += shape # <<<<<<<<<<<<<< * if stop < 0: * stop = 0 */ __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape); /* "View.MemoryView":822 * if stop < 0: * stop += shape * if stop < 0: # <<<<<<<<<<<<<< * stop = 0 * elif stop > shape: */ __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":823 * stop += shape * if stop < 0: * stop = 0 # <<<<<<<<<<<<<< * elif stop > shape: * stop = shape */ __pyx_v_stop = 0; goto __pyx_L14; } __pyx_L14:; goto __pyx_L13; } /* "View.MemoryView":824 * if stop < 0: * stop = 0 * elif stop > shape: # <<<<<<<<<<<<<< * stop = shape * else: */ __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":825 * stop = 0 * elif stop > shape: * stop = shape # <<<<<<<<<<<<<< * else: * if negative_step: */ __pyx_v_stop = __pyx_v_shape; goto __pyx_L13; } __pyx_L13:; goto __pyx_L12; } /*else*/ { /* "View.MemoryView":827 * stop = shape * else: * if negative_step: # <<<<<<<<<<<<<< * stop = -1 * else: */ __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":828 * else: * if negative_step: * stop = -1 # <<<<<<<<<<<<<< * else: * stop = shape */ __pyx_v_stop = -1; goto __pyx_L15; } /*else*/ { /* "View.MemoryView":830 * stop = -1 * else: * stop = shape # <<<<<<<<<<<<<< * * if not have_step: */ __pyx_v_stop = __pyx_v_shape; } __pyx_L15:; } __pyx_L12:; /* "View.MemoryView":832 * stop = shape * * if not have_step: # <<<<<<<<<<<<<< * step = 1 * */ __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":833 * * if not have_step: * step = 1 # <<<<<<<<<<<<<< * * */ __pyx_v_step = 1; goto __pyx_L16; } __pyx_L16:; /* "View.MemoryView":837 * * with cython.cdivision(True): * new_shape = (stop - start) // step # <<<<<<<<<<<<<< * * if (stop - start) - step * new_shape: */ __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step); /* "View.MemoryView":839 * new_shape = (stop - start) // step * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< * new_shape += 1 * */ __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0); if (__pyx_t_2) { /* "View.MemoryView":840 * * if (stop - start) - step * new_shape: * new_shape += 1 # <<<<<<<<<<<<<< * * if new_shape < 0: */ __pyx_v_new_shape = (__pyx_v_new_shape + 1); goto __pyx_L17; } __pyx_L17:; /* "View.MemoryView":842 * new_shape += 1 * * if new_shape < 0: # <<<<<<<<<<<<<< * new_shape = 0 * */ __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":843 * * if new_shape < 0: * new_shape = 0 # <<<<<<<<<<<<<< * * */ __pyx_v_new_shape = 0; goto __pyx_L18; } __pyx_L18:; /* "View.MemoryView":846 * * * dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<< * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset */ (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step); /* "View.MemoryView":847 * * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<< * dst.suboffsets[new_ndim] = suboffset * */ (__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape; /* "View.MemoryView":848 * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<< * * */ (__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset; } __pyx_L3:; /* "View.MemoryView":851 * * * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< * dst.data += start * stride * else: */ __pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":852 * * if suboffset_dim[0] < 0: * dst.data += start * stride # <<<<<<<<<<<<<< * else: * dst.suboffsets[suboffset_dim[0]] += start * stride */ __pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride)); goto __pyx_L19; } /*else*/ { /* "View.MemoryView":854 * dst.data += start * stride * else: * dst.suboffsets[suboffset_dim[0]] += start * stride # <<<<<<<<<<<<<< * * if suboffset >= 0: */ __pyx_t_3 = (__pyx_v_suboffset_dim[0]); (__pyx_v_dst->suboffsets[__pyx_t_3]) = ((__pyx_v_dst->suboffsets[__pyx_t_3]) + (__pyx_v_start * __pyx_v_stride)); } __pyx_L19:; /* "View.MemoryView":856 * dst.suboffsets[suboffset_dim[0]] += start * stride * * if suboffset >= 0: # <<<<<<<<<<<<<< * if not is_slice: * if new_ndim == 0: */ __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":857 * * if suboffset >= 0: * if not is_slice: # <<<<<<<<<<<<<< * if new_ndim == 0: * dst.data = ( dst.data)[0] + suboffset */ __pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":858 * if suboffset >= 0: * if not is_slice: * if new_ndim == 0: # <<<<<<<<<<<<<< * dst.data = ( dst.data)[0] + suboffset * else: */ __pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":859 * if not is_slice: * if new_ndim == 0: * dst.data = ( dst.data)[0] + suboffset # <<<<<<<<<<<<<< * else: * _err_dim(IndexError, "All dimensions preceding dimension %d " */ __pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset); goto __pyx_L22; } /*else*/ { /* "View.MemoryView":862 * else: * _err_dim(IndexError, "All dimensions preceding dimension %d " * "must be indexed and not sliced", dim) # <<<<<<<<<<<<<< * else: * suboffset_dim[0] = new_ndim */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, __pyx_k_42, __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 861; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L22:; goto __pyx_L21; } /*else*/ { /* "View.MemoryView":864 * "must be indexed and not sliced", dim) * else: * suboffset_dim[0] = new_ndim # <<<<<<<<<<<<<< * * return 0 */ (__pyx_v_suboffset_dim[0]) = __pyx_v_new_ndim; } __pyx_L21:; goto __pyx_L20; } __pyx_L20:; /* "View.MemoryView":866 * suboffset_dim[0] = new_ndim * * return 0 # <<<<<<<<<<<<<< * * */ __pyx_r = 0; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_AddTraceback("View.MemoryView.slice_memviewslice", __pyx_clineno, __pyx_lineno, __pyx_filename); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } __pyx_r = -1; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":872 * * @cname('__pyx_pybuffer_index') * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, # <<<<<<<<<<<<<< * int dim) except NULL: * cdef Py_ssize_t shape, stride, suboffset = -1 */ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, Py_ssize_t __pyx_v_index, int __pyx_v_dim) { Py_ssize_t __pyx_v_shape; Py_ssize_t __pyx_v_stride; Py_ssize_t __pyx_v_suboffset; Py_ssize_t __pyx_v_itemsize; char *__pyx_v_resultp; char *__pyx_r; __Pyx_RefNannyDeclarations Py_ssize_t __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("pybuffer_index", 0); /* "View.MemoryView":874 * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, * int dim) except NULL: * cdef Py_ssize_t shape, stride, suboffset = -1 # <<<<<<<<<<<<<< * cdef Py_ssize_t itemsize = view.itemsize * cdef char *resultp */ __pyx_v_suboffset = -1; /* "View.MemoryView":875 * int dim) except NULL: * cdef Py_ssize_t shape, stride, suboffset = -1 * cdef Py_ssize_t itemsize = view.itemsize # <<<<<<<<<<<<<< * cdef char *resultp * */ __pyx_t_1 = __pyx_v_view->itemsize; __pyx_v_itemsize = __pyx_t_1; /* "View.MemoryView":878 * cdef char *resultp * * if view.ndim == 0: # <<<<<<<<<<<<<< * shape = view.len / itemsize * stride = itemsize */ __pyx_t_2 = ((__pyx_v_view->ndim == 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":879 * * if view.ndim == 0: * shape = view.len / itemsize # <<<<<<<<<<<<<< * stride = itemsize * else: */ if (unlikely(__pyx_v_itemsize == 0)) { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif PyErr_Format(PyExc_ZeroDivisionError, "integer division or modulo by zero"); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif {__pyx_filename = __pyx_f[2]; __pyx_lineno = 879; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else if (sizeof(Py_ssize_t) == sizeof(long) && unlikely(__pyx_v_itemsize == -1) && unlikely(UNARY_NEG_WOULD_OVERFLOW(__pyx_v_view->len))) { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif PyErr_Format(PyExc_OverflowError, "value too large to perform division"); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif {__pyx_filename = __pyx_f[2]; __pyx_lineno = 879; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_v_shape = __Pyx_div_Py_ssize_t(__pyx_v_view->len, __pyx_v_itemsize); /* "View.MemoryView":880 * if view.ndim == 0: * shape = view.len / itemsize * stride = itemsize # <<<<<<<<<<<<<< * else: * shape = view.shape[dim] */ __pyx_v_stride = __pyx_v_itemsize; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":882 * stride = itemsize * else: * shape = view.shape[dim] # <<<<<<<<<<<<<< * stride = view.strides[dim] * if view.suboffsets != NULL: */ __pyx_v_shape = (__pyx_v_view->shape[__pyx_v_dim]); /* "View.MemoryView":883 * else: * shape = view.shape[dim] * stride = view.strides[dim] # <<<<<<<<<<<<<< * if view.suboffsets != NULL: * suboffset = view.suboffsets[dim] */ __pyx_v_stride = (__pyx_v_view->strides[__pyx_v_dim]); /* "View.MemoryView":884 * shape = view.shape[dim] * stride = view.strides[dim] * if view.suboffsets != NULL: # <<<<<<<<<<<<<< * suboffset = view.suboffsets[dim] * */ __pyx_t_2 = ((__pyx_v_view->suboffsets != NULL) != 0); if (__pyx_t_2) { /* "View.MemoryView":885 * stride = view.strides[dim] * if view.suboffsets != NULL: * suboffset = view.suboffsets[dim] # <<<<<<<<<<<<<< * * if index < 0: */ __pyx_v_suboffset = (__pyx_v_view->suboffsets[__pyx_v_dim]); goto __pyx_L4; } __pyx_L4:; } __pyx_L3:; /* "View.MemoryView":887 * suboffset = view.suboffsets[dim] * * if index < 0: # <<<<<<<<<<<<<< * index += view.shape[dim] * if index < 0: */ __pyx_t_2 = ((__pyx_v_index < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":888 * * if index < 0: * index += view.shape[dim] # <<<<<<<<<<<<<< * if index < 0: * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) */ __pyx_v_index = (__pyx_v_index + (__pyx_v_view->shape[__pyx_v_dim])); /* "View.MemoryView":889 * if index < 0: * index += view.shape[dim] * if index < 0: # <<<<<<<<<<<<<< * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * */ __pyx_t_2 = ((__pyx_v_index < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":890 * index += view.shape[dim] * if index < 0: * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) # <<<<<<<<<<<<<< * * if index >= shape: */ __pyx_t_3 = PyInt_FromLong(__pyx_v_dim); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_43), __pyx_t_3); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_t_4)); __Pyx_GIVEREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_t_4 = PyObject_Call(__pyx_builtin_IndexError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; goto __pyx_L5; } __pyx_L5:; /* "View.MemoryView":892 * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * * if index >= shape: # <<<<<<<<<<<<<< * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * */ __pyx_t_2 = ((__pyx_v_index >= __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":893 * * if index >= shape: * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) # <<<<<<<<<<<<<< * * resultp = bufp + index * stride */ __pyx_t_4 = PyInt_FromLong(__pyx_v_dim); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_43), __pyx_t_4); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_builtin_IndexError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; /* "View.MemoryView":895 * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * * resultp = bufp + index * stride # <<<<<<<<<<<<<< * if suboffset >= 0: * resultp = ( resultp)[0] + suboffset */ __pyx_v_resultp = (__pyx_v_bufp + (__pyx_v_index * __pyx_v_stride)); /* "View.MemoryView":896 * * resultp = bufp + index * stride * if suboffset >= 0: # <<<<<<<<<<<<<< * resultp = ( resultp)[0] + suboffset * */ __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":897 * resultp = bufp + index * stride * if suboffset >= 0: * resultp = ( resultp)[0] + suboffset # <<<<<<<<<<<<<< * * return resultp */ __pyx_v_resultp = ((((char **)__pyx_v_resultp)[0]) + __pyx_v_suboffset); goto __pyx_L8; } __pyx_L8:; /* "View.MemoryView":899 * resultp = ( resultp)[0] + suboffset * * return resultp # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_resultp; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.pybuffer_index", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":905 * * @cname('__pyx_memslice_transpose') * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: # <<<<<<<<<<<<<< * cdef int ndim = memslice.memview.view.ndim * */ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { int __pyx_v_ndim; Py_ssize_t *__pyx_v_shape; Py_ssize_t *__pyx_v_strides; int __pyx_v_i; int __pyx_v_j; int __pyx_r; int __pyx_t_1; Py_ssize_t *__pyx_t_2; long __pyx_t_3; Py_ssize_t __pyx_t_4; Py_ssize_t __pyx_t_5; int __pyx_t_6; int __pyx_t_7; int __pyx_t_8; int __pyx_t_9; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; /* "View.MemoryView":906 * @cname('__pyx_memslice_transpose') * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: * cdef int ndim = memslice.memview.view.ndim # <<<<<<<<<<<<<< * * cdef Py_ssize_t *shape = memslice.shape */ __pyx_t_1 = __pyx_v_memslice->memview->view.ndim; __pyx_v_ndim = __pyx_t_1; /* "View.MemoryView":908 * cdef int ndim = memslice.memview.view.ndim * * cdef Py_ssize_t *shape = memslice.shape # <<<<<<<<<<<<<< * cdef Py_ssize_t *strides = memslice.strides * */ __pyx_t_2 = __pyx_v_memslice->shape; __pyx_v_shape = __pyx_t_2; /* "View.MemoryView":909 * * cdef Py_ssize_t *shape = memslice.shape * cdef Py_ssize_t *strides = memslice.strides # <<<<<<<<<<<<<< * * */ __pyx_t_2 = __pyx_v_memslice->strides; __pyx_v_strides = __pyx_t_2; /* "View.MemoryView":913 * * cdef int i, j * for i in range(ndim / 2): # <<<<<<<<<<<<<< * j = ndim - 1 - i * strides[i], strides[j] = strides[j], strides[i] */ __pyx_t_3 = __Pyx_div_long(__pyx_v_ndim, 2); for (__pyx_t_1 = 0; __pyx_t_1 < __pyx_t_3; __pyx_t_1+=1) { __pyx_v_i = __pyx_t_1; /* "View.MemoryView":914 * cdef int i, j * for i in range(ndim / 2): * j = ndim - 1 - i # <<<<<<<<<<<<<< * strides[i], strides[j] = strides[j], strides[i] * shape[i], shape[j] = shape[j], shape[i] */ __pyx_v_j = ((__pyx_v_ndim - 1) - __pyx_v_i); /* "View.MemoryView":915 * for i in range(ndim / 2): * j = ndim - 1 - i * strides[i], strides[j] = strides[j], strides[i] # <<<<<<<<<<<<<< * shape[i], shape[j] = shape[j], shape[i] * */ __pyx_t_4 = (__pyx_v_strides[__pyx_v_j]); __pyx_t_5 = (__pyx_v_strides[__pyx_v_i]); (__pyx_v_strides[__pyx_v_i]) = __pyx_t_4; (__pyx_v_strides[__pyx_v_j]) = __pyx_t_5; /* "View.MemoryView":916 * j = ndim - 1 - i * strides[i], strides[j] = strides[j], strides[i] * shape[i], shape[j] = shape[j], shape[i] # <<<<<<<<<<<<<< * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: */ __pyx_t_5 = (__pyx_v_shape[__pyx_v_j]); __pyx_t_4 = (__pyx_v_shape[__pyx_v_i]); (__pyx_v_shape[__pyx_v_i]) = __pyx_t_5; (__pyx_v_shape[__pyx_v_j]) = __pyx_t_4; /* "View.MemoryView":918 * shape[i], shape[j] = shape[j], shape[i] * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: # <<<<<<<<<<<<<< * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") * */ __pyx_t_6 = (((__pyx_v_memslice->suboffsets[__pyx_v_i]) >= 0) != 0); if (!__pyx_t_6) { __pyx_t_7 = (((__pyx_v_memslice->suboffsets[__pyx_v_j]) >= 0) != 0); __pyx_t_8 = __pyx_t_7; } else { __pyx_t_8 = __pyx_t_6; } if (__pyx_t_8) { /* "View.MemoryView":919 * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") # <<<<<<<<<<<<<< * * return 1 */ __pyx_t_9 = __pyx_memoryview_err(__pyx_builtin_ValueError, __pyx_k_44); if (unlikely(__pyx_t_9 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 919; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; } /* "View.MemoryView":921 * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") * * return 1 # <<<<<<<<<<<<<< * * */ __pyx_r = 1; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_AddTraceback("View.MemoryView.transpose_memslice", __pyx_clineno, __pyx_lineno, __pyx_filename); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* Python wrapper */ static void __pyx_memoryviewslice___dealloc__(PyObject *__pyx_v_self); /*proto*/ static void __pyx_memoryviewslice___dealloc__(PyObject *__pyx_v_self) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); __pyx_memoryviewslice_MemoryView_16_memoryviewslice___dealloc__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":938 * cdef int (*to_dtype_func)(char *, object) except 0 * * def __dealloc__(self): # <<<<<<<<<<<<<< * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) * */ static void __pyx_memoryviewslice_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__dealloc__", 0); /* "View.MemoryView":939 * * def __dealloc__(self): * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) # <<<<<<<<<<<<<< * * cdef convert_item_to_object(self, char *itemp): */ __PYX_XDEC_MEMVIEW((&__pyx_v_self->from_slice), 1); __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":941 * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) * * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< * if self.to_object_func != NULL: * return self.to_object_func(itemp) */ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("convert_item_to_object", 0); /* "View.MemoryView":942 * * cdef convert_item_to_object(self, char *itemp): * if self.to_object_func != NULL: # <<<<<<<<<<<<<< * return self.to_object_func(itemp) * else: */ __pyx_t_1 = ((__pyx_v_self->to_object_func != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":943 * cdef convert_item_to_object(self, char *itemp): * if self.to_object_func != NULL: * return self.to_object_func(itemp) # <<<<<<<<<<<<<< * else: * return memoryview.convert_item_to_object(self, itemp) */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = __pyx_v_self->to_object_func(__pyx_v_itemp); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 943; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":945 * return self.to_object_func(itemp) * else: * return memoryview.convert_item_to_object(self, itemp) # <<<<<<<<<<<<<< * * cdef assign_item_from_object(self, char *itemp, object value): */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = __pyx_vtabptr_memoryview->convert_item_to_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 945; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; } __pyx_L3:; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView._memoryviewslice.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":947 * return memoryview.convert_item_to_object(self, itemp) * * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< * if self.to_dtype_func != NULL: * self.to_dtype_func(itemp, value) */ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("assign_item_from_object", 0); /* "View.MemoryView":948 * * cdef assign_item_from_object(self, char *itemp, object value): * if self.to_dtype_func != NULL: # <<<<<<<<<<<<<< * self.to_dtype_func(itemp, value) * else: */ __pyx_t_1 = ((__pyx_v_self->to_dtype_func != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":949 * cdef assign_item_from_object(self, char *itemp, object value): * if self.to_dtype_func != NULL: * self.to_dtype_func(itemp, value) # <<<<<<<<<<<<<< * else: * memoryview.assign_item_from_object(self, itemp, value) */ __pyx_t_2 = __pyx_v_self->to_dtype_func(__pyx_v_itemp, __pyx_v_value); if (unlikely(__pyx_t_2 == 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 949; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } /*else*/ { /* "View.MemoryView":951 * self.to_dtype_func(itemp, value) * else: * memoryview.assign_item_from_object(self, itemp, value) # <<<<<<<<<<<<<< * * property base: */ __pyx_t_3 = __pyx_vtabptr_memoryview->assign_item_from_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 951; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } __pyx_L3:; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView._memoryviewslice.assign_item_from_object", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryviewslice__get__base(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryviewslice__get__base(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryviewslice__get__base_MemoryView_16_memoryviewslice_4base___get__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":955 * property base: * @cname('__pyx_memoryviewslice__get__base') * def __get__(self): # <<<<<<<<<<<<<< * return self.from_object * */ static PyObject *__pyx_memoryviewslice__get__base_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":956 * @cname('__pyx_memoryviewslice__get__base') * def __get__(self): * return self.from_object # <<<<<<<<<<<<<< * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_self->from_object); __pyx_r = __pyx_v_self->from_object; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":962 * * @cname('__pyx_memoryview_fromslice') * cdef memoryview_fromslice(__Pyx_memviewslice memviewslice, # <<<<<<<<<<<<<< * int ndim, * object (*to_object_func)(char *), */ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewslice, int __pyx_v_ndim, PyObject *(*__pyx_v_to_object_func)(char *), int (*__pyx_v_to_dtype_func)(char *, PyObject *), int __pyx_v_dtype_is_object) { struct __pyx_memoryviewslice_obj *__pyx_v_result = 0; int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; __Pyx_TypeInfo *__pyx_t_4; Py_buffer __pyx_t_5; Py_ssize_t __pyx_t_6; int __pyx_t_7; int __pyx_t_8; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memoryview_fromslice", 0); /* "View.MemoryView":971 * cdef int i * * if memviewslice.memview == Py_None: # <<<<<<<<<<<<<< * return None * */ __pyx_t_1 = ((((PyObject *)__pyx_v_memviewslice.memview) == Py_None) != 0); if (__pyx_t_1) { /* "View.MemoryView":972 * * if memviewslice.memview == Py_None: * return None # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(Py_None); __pyx_r = Py_None; goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":977 * * * result = _memoryviewslice(None, 0, dtype_is_object) # <<<<<<<<<<<<<< * * result.from_slice = memviewslice */ __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_dtype_is_object); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 977; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 977; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(Py_None); PyTuple_SET_ITEM(__pyx_t_3, 0, Py_None); __Pyx_GIVEREF(Py_None); __Pyx_INCREF(__pyx_int_0); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_int_0); __Pyx_GIVEREF(__pyx_int_0); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(((PyObject *)((PyObject *)__pyx_memoryviewslice_type)), ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 977; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_v_result = ((struct __pyx_memoryviewslice_obj *)__pyx_t_2); __pyx_t_2 = 0; /* "View.MemoryView":979 * result = _memoryviewslice(None, 0, dtype_is_object) * * result.from_slice = memviewslice # <<<<<<<<<<<<<< * __PYX_INC_MEMVIEW(&memviewslice, 1) * */ __pyx_v_result->from_slice = __pyx_v_memviewslice; /* "View.MemoryView":980 * * result.from_slice = memviewslice * __PYX_INC_MEMVIEW(&memviewslice, 1) # <<<<<<<<<<<<<< * * result.from_object = ( memviewslice.memview).base */ __PYX_INC_MEMVIEW((&__pyx_v_memviewslice), 1); /* "View.MemoryView":982 * __PYX_INC_MEMVIEW(&memviewslice, 1) * * result.from_object = ( memviewslice.memview).base # <<<<<<<<<<<<<< * result.typeinfo = memviewslice.memview.typeinfo * */ __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_memviewslice.memview), __pyx_n_s__base); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 982; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __Pyx_GOTREF(__pyx_v_result->from_object); __Pyx_DECREF(__pyx_v_result->from_object); __pyx_v_result->from_object = __pyx_t_2; __pyx_t_2 = 0; /* "View.MemoryView":983 * * result.from_object = ( memviewslice.memview).base * result.typeinfo = memviewslice.memview.typeinfo # <<<<<<<<<<<<<< * * result.view = memviewslice.memview.view */ __pyx_t_4 = __pyx_v_memviewslice.memview->typeinfo; __pyx_v_result->__pyx_base.typeinfo = __pyx_t_4; /* "View.MemoryView":985 * result.typeinfo = memviewslice.memview.typeinfo * * result.view = memviewslice.memview.view # <<<<<<<<<<<<<< * result.view.buf = memviewslice.data * result.view.ndim = ndim */ __pyx_t_5 = __pyx_v_memviewslice.memview->view; __pyx_v_result->__pyx_base.view = __pyx_t_5; /* "View.MemoryView":986 * * result.view = memviewslice.memview.view * result.view.buf = memviewslice.data # <<<<<<<<<<<<<< * result.view.ndim = ndim * (<__pyx_buffer *> &result.view).obj = Py_None */ __pyx_v_result->__pyx_base.view.buf = ((void *)__pyx_v_memviewslice.data); /* "View.MemoryView":987 * result.view = memviewslice.memview.view * result.view.buf = memviewslice.data * result.view.ndim = ndim # <<<<<<<<<<<<<< * (<__pyx_buffer *> &result.view).obj = Py_None * Py_INCREF(Py_None) */ __pyx_v_result->__pyx_base.view.ndim = __pyx_v_ndim; /* "View.MemoryView":988 * result.view.buf = memviewslice.data * result.view.ndim = ndim * (<__pyx_buffer *> &result.view).obj = Py_None # <<<<<<<<<<<<<< * Py_INCREF(Py_None) * */ ((Py_buffer *)(&__pyx_v_result->__pyx_base.view))->obj = Py_None; /* "View.MemoryView":989 * result.view.ndim = ndim * (<__pyx_buffer *> &result.view).obj = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< * * result.flags = PyBUF_RECORDS */ Py_INCREF(Py_None); /* "View.MemoryView":991 * Py_INCREF(Py_None) * * result.flags = PyBUF_RECORDS # <<<<<<<<<<<<<< * * result.view.shape = result.from_slice.shape */ __pyx_v_result->__pyx_base.flags = PyBUF_RECORDS; /* "View.MemoryView":993 * result.flags = PyBUF_RECORDS * * result.view.shape = result.from_slice.shape # <<<<<<<<<<<<<< * result.view.strides = result.from_slice.strides * result.view.suboffsets = result.from_slice.suboffsets */ __pyx_v_result->__pyx_base.view.shape = ((Py_ssize_t *)__pyx_v_result->from_slice.shape); /* "View.MemoryView":994 * * result.view.shape = result.from_slice.shape * result.view.strides = result.from_slice.strides # <<<<<<<<<<<<<< * result.view.suboffsets = result.from_slice.suboffsets * */ __pyx_v_result->__pyx_base.view.strides = ((Py_ssize_t *)__pyx_v_result->from_slice.strides); /* "View.MemoryView":995 * result.view.shape = result.from_slice.shape * result.view.strides = result.from_slice.strides * result.view.suboffsets = result.from_slice.suboffsets # <<<<<<<<<<<<<< * * result.view.len = result.view.itemsize */ __pyx_v_result->__pyx_base.view.suboffsets = ((Py_ssize_t *)__pyx_v_result->from_slice.suboffsets); /* "View.MemoryView":997 * result.view.suboffsets = result.from_slice.suboffsets * * result.view.len = result.view.itemsize # <<<<<<<<<<<<<< * for i in range(ndim): * result.view.len *= result.view.shape[i] */ __pyx_t_6 = __pyx_v_result->__pyx_base.view.itemsize; __pyx_v_result->__pyx_base.view.len = __pyx_t_6; /* "View.MemoryView":998 * * result.view.len = result.view.itemsize * for i in range(ndim): # <<<<<<<<<<<<<< * result.view.len *= result.view.shape[i] * */ __pyx_t_7 = __pyx_v_ndim; for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_7; __pyx_t_8+=1) { __pyx_v_i = __pyx_t_8; /* "View.MemoryView":999 * result.view.len = result.view.itemsize * for i in range(ndim): * result.view.len *= result.view.shape[i] # <<<<<<<<<<<<<< * * result.to_object_func = to_object_func */ __pyx_v_result->__pyx_base.view.len = (__pyx_v_result->__pyx_base.view.len * (__pyx_v_result->__pyx_base.view.shape[__pyx_v_i])); } /* "View.MemoryView":1001 * result.view.len *= result.view.shape[i] * * result.to_object_func = to_object_func # <<<<<<<<<<<<<< * result.to_dtype_func = to_dtype_func * */ __pyx_v_result->to_object_func = __pyx_v_to_object_func; /* "View.MemoryView":1002 * * result.to_object_func = to_object_func * result.to_dtype_func = to_dtype_func # <<<<<<<<<<<<<< * * return result */ __pyx_v_result->to_dtype_func = __pyx_v_to_dtype_func; /* "View.MemoryView":1004 * result.to_dtype_func = to_dtype_func * * return result # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_get_slice_from_memoryview') */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_result)); __pyx_r = ((PyObject *)__pyx_v_result); goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.memoryview_fromslice", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_result); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":1007 * * @cname('__pyx_memoryview_get_slice_from_memoryview') * cdef __Pyx_memviewslice *get_slice_from_memview(memoryview memview, # <<<<<<<<<<<<<< * __Pyx_memviewslice *mslice): * cdef _memoryviewslice obj */ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_mslice) { struct __pyx_memoryviewslice_obj *__pyx_v_obj = 0; __Pyx_memviewslice *__pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("get_slice_from_memview", 0); /* "View.MemoryView":1010 * __Pyx_memviewslice *mslice): * cdef _memoryviewslice obj * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * obj = memview * return &obj.from_slice */ __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), ((PyObject *)__pyx_memoryviewslice_type)); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":1011 * cdef _memoryviewslice obj * if isinstance(memview, _memoryviewslice): * obj = memview # <<<<<<<<<<<<<< * return &obj.from_slice * else: */ if (!(likely(((((PyObject *)__pyx_v_memview)) == Py_None) || likely(__Pyx_TypeTest(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1011; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_INCREF(((PyObject *)__pyx_v_memview)); __pyx_v_obj = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview); /* "View.MemoryView":1012 * if isinstance(memview, _memoryviewslice): * obj = memview * return &obj.from_slice # <<<<<<<<<<<<<< * else: * slice_copy(memview, mslice) */ __pyx_r = (&__pyx_v_obj->from_slice); goto __pyx_L0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1014 * return &obj.from_slice * else: * slice_copy(memview, mslice) # <<<<<<<<<<<<<< * return mslice * */ __pyx_memoryview_slice_copy(__pyx_v_memview, __pyx_v_mslice); /* "View.MemoryView":1015 * else: * slice_copy(memview, mslice) * return mslice # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_slice_copy') */ __pyx_r = __pyx_v_mslice; goto __pyx_L0; } __pyx_L3:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_WriteUnraisable("View.MemoryView.get_slice_from_memview", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_obj); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":1018 * * @cname('__pyx_memoryview_slice_copy') * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst): # <<<<<<<<<<<<<< * cdef int dim * cdef Py_ssize_t *shape, *strides, *suboffsets */ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_dst) { int __pyx_v_dim; Py_ssize_t *__pyx_v_shape; Py_ssize_t *__pyx_v_strides; Py_ssize_t *__pyx_v_suboffsets; __Pyx_RefNannyDeclarations Py_ssize_t *__pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; __Pyx_RefNannySetupContext("slice_copy", 0); /* "View.MemoryView":1022 * cdef Py_ssize_t *shape, *strides, *suboffsets * * shape = memview.view.shape # <<<<<<<<<<<<<< * strides = memview.view.strides * suboffsets = memview.view.suboffsets */ __pyx_t_1 = __pyx_v_memview->view.shape; __pyx_v_shape = __pyx_t_1; /* "View.MemoryView":1023 * * shape = memview.view.shape * strides = memview.view.strides # <<<<<<<<<<<<<< * suboffsets = memview.view.suboffsets * */ __pyx_t_1 = __pyx_v_memview->view.strides; __pyx_v_strides = __pyx_t_1; /* "View.MemoryView":1024 * shape = memview.view.shape * strides = memview.view.strides * suboffsets = memview.view.suboffsets # <<<<<<<<<<<<<< * * dst.memview = <__pyx_memoryview *> memview */ __pyx_t_1 = __pyx_v_memview->view.suboffsets; __pyx_v_suboffsets = __pyx_t_1; /* "View.MemoryView":1026 * suboffsets = memview.view.suboffsets * * dst.memview = <__pyx_memoryview *> memview # <<<<<<<<<<<<<< * dst.data = memview.view.buf * */ __pyx_v_dst->memview = ((struct __pyx_memoryview_obj *)__pyx_v_memview); /* "View.MemoryView":1027 * * dst.memview = <__pyx_memoryview *> memview * dst.data = memview.view.buf # <<<<<<<<<<<<<< * * for dim in range(memview.view.ndim): */ __pyx_v_dst->data = ((char *)__pyx_v_memview->view.buf); /* "View.MemoryView":1029 * dst.data = memview.view.buf * * for dim in range(memview.view.ndim): # <<<<<<<<<<<<<< * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] */ __pyx_t_2 = __pyx_v_memview->view.ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_dim = __pyx_t_3; /* "View.MemoryView":1030 * * for dim in range(memview.view.ndim): * dst.shape[dim] = shape[dim] # <<<<<<<<<<<<<< * dst.strides[dim] = strides[dim] * if suboffsets == NULL: */ (__pyx_v_dst->shape[__pyx_v_dim]) = (__pyx_v_shape[__pyx_v_dim]); /* "View.MemoryView":1031 * for dim in range(memview.view.ndim): * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] # <<<<<<<<<<<<<< * if suboffsets == NULL: * dst.suboffsets[dim] = -1 */ (__pyx_v_dst->strides[__pyx_v_dim]) = (__pyx_v_strides[__pyx_v_dim]); /* "View.MemoryView":1032 * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] * if suboffsets == NULL: # <<<<<<<<<<<<<< * dst.suboffsets[dim] = -1 * else: */ __pyx_t_4 = ((__pyx_v_suboffsets == NULL) != 0); if (__pyx_t_4) { /* "View.MemoryView":1033 * dst.strides[dim] = strides[dim] * if suboffsets == NULL: * dst.suboffsets[dim] = -1 # <<<<<<<<<<<<<< * else: * dst.suboffsets[dim] = suboffsets[dim] */ (__pyx_v_dst->suboffsets[__pyx_v_dim]) = -1; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":1035 * dst.suboffsets[dim] = -1 * else: * dst.suboffsets[dim] = suboffsets[dim] # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_copy_object') */ (__pyx_v_dst->suboffsets[__pyx_v_dim]) = (__pyx_v_suboffsets[__pyx_v_dim]); } __pyx_L5:; } __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":1038 * * @cname('__pyx_memoryview_copy_object') * cdef memoryview_copy(memoryview memview): # <<<<<<<<<<<<<< * "Create a new memoryview object" * cdef __Pyx_memviewslice memviewslice */ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx_v_memview) { __Pyx_memviewslice __pyx_v_memviewslice; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memoryview_copy", 0); /* "View.MemoryView":1041 * "Create a new memoryview object" * cdef __Pyx_memviewslice memviewslice * slice_copy(memview, &memviewslice) # <<<<<<<<<<<<<< * return memoryview_copy_from_slice(memview, &memviewslice) * */ __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_memviewslice)); /* "View.MemoryView":1042 * cdef __Pyx_memviewslice memviewslice * slice_copy(memview, &memviewslice) * return memoryview_copy_from_slice(memview, &memviewslice) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_copy_object_from_slice') */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __pyx_memoryview_copy_object_from_slice(__pyx_v_memview, (&__pyx_v_memviewslice)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1042; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview_copy", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":1045 * * @cname('__pyx_memoryview_copy_object_from_slice') * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<< * """ * Create a new memoryview object from a given memoryview object and slice. */ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_memviewslice) { PyObject *(*__pyx_v_to_object_func)(char *); int (*__pyx_v_to_dtype_func)(char *, PyObject *); PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *(*__pyx_t_3)(char *); int (*__pyx_t_4)(char *, PyObject *); PyObject *__pyx_t_5 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memoryview_copy_from_slice", 0); /* "View.MemoryView":1052 * cdef int (*to_dtype_func)(char *, object) except 0 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * to_object_func = (<_memoryviewslice> memview).to_object_func * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func */ __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), ((PyObject *)__pyx_memoryviewslice_type)); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":1053 * * if isinstance(memview, _memoryviewslice): * to_object_func = (<_memoryviewslice> memview).to_object_func # <<<<<<<<<<<<<< * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func * else: */ __pyx_t_3 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_object_func; __pyx_v_to_object_func = __pyx_t_3; /* "View.MemoryView":1054 * if isinstance(memview, _memoryviewslice): * to_object_func = (<_memoryviewslice> memview).to_object_func * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func # <<<<<<<<<<<<<< * else: * to_object_func = NULL */ __pyx_t_4 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_dtype_func; __pyx_v_to_dtype_func = __pyx_t_4; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1056 * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func * else: * to_object_func = NULL # <<<<<<<<<<<<<< * to_dtype_func = NULL * */ __pyx_v_to_object_func = NULL; /* "View.MemoryView":1057 * else: * to_object_func = NULL * to_dtype_func = NULL # <<<<<<<<<<<<<< * * return memoryview_fromslice(memviewslice[0], memview.view.ndim, */ __pyx_v_to_dtype_func = NULL; } __pyx_L3:; /* "View.MemoryView":1059 * to_dtype_func = NULL * * return memoryview_fromslice(memviewslice[0], memview.view.ndim, # <<<<<<<<<<<<<< * to_object_func, to_dtype_func, * memview.dtype_is_object) */ __Pyx_XDECREF(__pyx_r); /* "View.MemoryView":1061 * return memoryview_fromslice(memviewslice[0], memview.view.ndim, * to_object_func, to_dtype_func, * memview.dtype_is_object) # <<<<<<<<<<<<<< * * */ __pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1059; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.memoryview_copy_from_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":1067 * * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< * if arg < 0: * return -arg */ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { Py_ssize_t __pyx_r; int __pyx_t_1; /* "View.MemoryView":1068 * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: # <<<<<<<<<<<<<< * return -arg * else: */ __pyx_t_1 = ((__pyx_v_arg < 0) != 0); if (__pyx_t_1) { /* "View.MemoryView":1069 * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: * return -arg # <<<<<<<<<<<<<< * else: * return arg */ __pyx_r = (-__pyx_v_arg); goto __pyx_L0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1071 * return -arg * else: * return arg # <<<<<<<<<<<<<< * * @cname('__pyx_get_best_slice_order') */ __pyx_r = __pyx_v_arg; goto __pyx_L0; } __pyx_L3:; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1074 * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< * """ * Figure out the best memory access order for a given slice. */ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) { int __pyx_v_i; Py_ssize_t __pyx_v_c_stride; Py_ssize_t __pyx_v_f_stride; char __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1079 * """ * cdef int i * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< * cdef Py_ssize_t f_stride = 0 * */ __pyx_v_c_stride = 0; /* "View.MemoryView":1080 * cdef int i * cdef Py_ssize_t c_stride = 0 * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<< * * for i in range(ndim - 1, -1, -1): */ __pyx_v_f_stride = 0; /* "View.MemoryView":1082 * cdef Py_ssize_t f_stride = 0 * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] */ for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { __pyx_v_i = __pyx_t_1; /* "View.MemoryView":1083 * * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * c_stride = mslice.strides[i] * break */ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1084 * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] # <<<<<<<<<<<<<< * break * */ __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]); /* "View.MemoryView":1085 * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< * * for i in range(ndim): */ goto __pyx_L4_break; goto __pyx_L5; } __pyx_L5:; } __pyx_L4_break:; /* "View.MemoryView":1087 * break * * for i in range(ndim): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] */ __pyx_t_1 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_1; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1088 * * for i in range(ndim): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * f_stride = mslice.strides[i] * break */ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1089 * for i in range(ndim): * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] # <<<<<<<<<<<<<< * break * */ __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]); /* "View.MemoryView":1090 * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): */ goto __pyx_L7_break; goto __pyx_L8; } __pyx_L8:; } __pyx_L7_break:; /* "View.MemoryView":1092 * break * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< * return 'C' * else: */ __pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1093 * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): * return 'C' # <<<<<<<<<<<<<< * else: * return 'F' */ __pyx_r = 'C'; goto __pyx_L0; goto __pyx_L9; } /*else*/ { /* "View.MemoryView":1095 * return 'C' * else: * return 'F' # <<<<<<<<<<<<<< * * @cython.cdivision(True) */ __pyx_r = 'F'; goto __pyx_L0; } __pyx_L9:; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1098 * * @cython.cdivision(True) * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< * char *dst_data, Py_ssize_t *dst_strides, * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, */ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent; Py_ssize_t __pyx_v_dst_extent; Py_ssize_t __pyx_v_src_stride; Py_ssize_t __pyx_v_dst_stride; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; Py_ssize_t __pyx_t_5; Py_ssize_t __pyx_t_6; /* "View.MemoryView":1105 * * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] */ __pyx_v_src_extent = (__pyx_v_src_shape[0]); /* "View.MemoryView":1106 * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] */ __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); /* "View.MemoryView":1107 * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_stride = dst_strides[0] * */ __pyx_v_src_stride = (__pyx_v_src_strides[0]); /* "View.MemoryView":1108 * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< * * if ndim == 1: */ __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); /* "View.MemoryView":1110 * cdef Py_ssize_t dst_stride = dst_strides[0] * * if ndim == 1: # <<<<<<<<<<<<<< * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): */ __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_1) { /* "View.MemoryView":1111 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) */ __pyx_t_1 = ((__pyx_v_src_stride > 0) != 0); if (__pyx_t_1) { __pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":1112 * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<< * memcpy(dst_data, src_data, itemsize * dst_extent) * else: */ __pyx_t_3 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize); if (__pyx_t_3) { __pyx_t_3 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride)); } __pyx_t_4 = (__pyx_t_3 != 0); } else { __pyx_t_4 = __pyx_t_2; } __pyx_t_2 = __pyx_t_4; } else { __pyx_t_2 = __pyx_t_1; } if (__pyx_t_2) { /* "View.MemoryView":1113 * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<< * else: * for i in range(dst_extent): */ memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)); goto __pyx_L4; } /*else*/ { /* "View.MemoryView":1115 * memcpy(dst_data, src_data, itemsize * dst_extent) * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< * memcpy(dst_data, src_data, itemsize) * src_data += src_stride */ __pyx_t_5 = __pyx_v_dst_extent; for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; /* "View.MemoryView":1116 * else: * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<< * src_data += src_stride * dst_data += dst_stride */ memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize); /* "View.MemoryView":1117 * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< * dst_data += dst_stride * else: */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); /* "View.MemoryView":1118 * memcpy(dst_data, src_data, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< * else: * for i in range(dst_extent): */ __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); } } __pyx_L4:; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1120 * dst_data += dst_stride * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< * _copy_strided_to_strided(src_data, src_strides + 1, * dst_data, dst_strides + 1, */ __pyx_t_5 = __pyx_v_dst_extent; for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; /* "View.MemoryView":1124 * dst_data, dst_strides + 1, * src_shape + 1, dst_shape + 1, * ndim - 1, itemsize) # <<<<<<<<<<<<<< * src_data += src_stride * dst_data += dst_stride */ _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize); /* "View.MemoryView":1125 * src_shape + 1, dst_shape + 1, * ndim - 1, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< * dst_data += dst_stride * */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); /* "View.MemoryView":1126 * ndim - 1, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, */ __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); } } __pyx_L3:; } /* "View.MemoryView":1128 * dst_data += dst_stride * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< * __Pyx_memviewslice *dst, * int ndim, size_t itemsize) nogil: */ static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) { /* "View.MemoryView":1132 * int ndim, size_t itemsize) nogil: * _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, * src.shape, dst.shape, ndim, itemsize) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_slice_get_size') */ _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize); } /* "View.MemoryView":1135 * * @cname('__pyx_memoryview_slice_get_size') * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< * "Return the size of the memory occupied by the slice in number of bytes" * cdef int i */ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) { int __pyx_v_i; Py_ssize_t __pyx_v_size; Py_ssize_t __pyx_r; Py_ssize_t __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1138 * "Return the size of the memory occupied by the slice in number of bytes" * cdef int i * cdef Py_ssize_t size = src.memview.view.itemsize # <<<<<<<<<<<<<< * * for i in range(ndim): */ __pyx_t_1 = __pyx_v_src->memview->view.itemsize; __pyx_v_size = __pyx_t_1; /* "View.MemoryView":1140 * cdef Py_ssize_t size = src.memview.view.itemsize * * for i in range(ndim): # <<<<<<<<<<<<<< * size *= src.shape[i] * */ __pyx_t_2 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1141 * * for i in range(ndim): * size *= src.shape[i] # <<<<<<<<<<<<<< * * return size */ __pyx_v_size = (__pyx_v_size * (__pyx_v_src->shape[__pyx_v_i])); } /* "View.MemoryView":1143 * size *= src.shape[i] * * return size # <<<<<<<<<<<<<< * * @cname('__pyx_fill_contig_strides_array') */ __pyx_r = __pyx_v_size; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1146 * * @cname('__pyx_fill_contig_strides_array') * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, * int ndim, char order) nogil: */ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) { int __pyx_v_idx; Py_ssize_t __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1155 * cdef int idx * * if order == 'F': # <<<<<<<<<<<<<< * for idx in range(ndim): * strides[idx] = stride */ __pyx_t_1 = ((__pyx_v_order == 'F') != 0); if (__pyx_t_1) { /* "View.MemoryView":1156 * * if order == 'F': * for idx in range(ndim): # <<<<<<<<<<<<<< * strides[idx] = stride * stride = stride * shape[idx] */ __pyx_t_2 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_idx = __pyx_t_3; /* "View.MemoryView":1157 * if order == 'F': * for idx in range(ndim): * strides[idx] = stride # <<<<<<<<<<<<<< * stride = stride * shape[idx] * else: */ (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; /* "View.MemoryView":1158 * for idx in range(ndim): * strides[idx] = stride * stride = stride * shape[idx] # <<<<<<<<<<<<<< * else: * for idx in range(ndim - 1, -1, -1): */ __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); } goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1160 * stride = stride * shape[idx] * else: * for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * strides[idx] = stride * stride = stride * shape[idx] */ for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) { __pyx_v_idx = __pyx_t_2; /* "View.MemoryView":1161 * else: * for idx in range(ndim - 1, -1, -1): * strides[idx] = stride # <<<<<<<<<<<<<< * stride = stride * shape[idx] * */ (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; /* "View.MemoryView":1162 * for idx in range(ndim - 1, -1, -1): * strides[idx] = stride * stride = stride * shape[idx] # <<<<<<<<<<<<<< * * return stride */ __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); } } __pyx_L3:; /* "View.MemoryView":1164 * stride = stride * shape[idx] * * return stride # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_copy_data_to_temp') */ __pyx_r = __pyx_v_stride; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1167 * * @cname('__pyx_memoryview_copy_data_to_temp') * cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< * __Pyx_memviewslice *tmpslice, * char order, */ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) { int __pyx_v_i; void *__pyx_v_result; size_t __pyx_v_itemsize; size_t __pyx_v_size; void *__pyx_r; Py_ssize_t __pyx_t_1; int __pyx_t_2; int __pyx_t_3; struct __pyx_memoryview_obj *__pyx_t_4; int __pyx_t_5; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; /* "View.MemoryView":1178 * cdef void *result * * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< * cdef size_t size = slice_get_size(src, ndim) * */ __pyx_t_1 = __pyx_v_src->memview->view.itemsize; __pyx_v_itemsize = __pyx_t_1; /* "View.MemoryView":1179 * * cdef size_t itemsize = src.memview.view.itemsize * cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<< * * result = malloc(size) */ __pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim); /* "View.MemoryView":1181 * cdef size_t size = slice_get_size(src, ndim) * * result = malloc(size) # <<<<<<<<<<<<<< * if not result: * _err(MemoryError, NULL) */ __pyx_v_result = malloc(__pyx_v_size); /* "View.MemoryView":1182 * * result = malloc(size) * if not result: # <<<<<<<<<<<<<< * _err(MemoryError, NULL) * */ __pyx_t_2 = ((!(__pyx_v_result != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1183 * result = malloc(size) * if not result: * _err(MemoryError, NULL) # <<<<<<<<<<<<<< * * */ __pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1183; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":1186 * * * tmpslice.data = result # <<<<<<<<<<<<<< * tmpslice.memview = src.memview * for i in range(ndim): */ __pyx_v_tmpslice->data = ((char *)__pyx_v_result); /* "View.MemoryView":1187 * * tmpslice.data = result * tmpslice.memview = src.memview # <<<<<<<<<<<<<< * for i in range(ndim): * tmpslice.shape[i] = src.shape[i] */ __pyx_t_4 = __pyx_v_src->memview; __pyx_v_tmpslice->memview = __pyx_t_4; /* "View.MemoryView":1188 * tmpslice.data = result * tmpslice.memview = src.memview * for i in range(ndim): # <<<<<<<<<<<<<< * tmpslice.shape[i] = src.shape[i] * tmpslice.suboffsets[i] = -1 */ __pyx_t_3 = __pyx_v_ndim; for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_3; __pyx_t_5+=1) { __pyx_v_i = __pyx_t_5; /* "View.MemoryView":1189 * tmpslice.memview = src.memview * for i in range(ndim): * tmpslice.shape[i] = src.shape[i] # <<<<<<<<<<<<<< * tmpslice.suboffsets[i] = -1 * */ (__pyx_v_tmpslice->shape[__pyx_v_i]) = (__pyx_v_src->shape[__pyx_v_i]); /* "View.MemoryView":1190 * for i in range(ndim): * tmpslice.shape[i] = src.shape[i] * tmpslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< * * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, */ (__pyx_v_tmpslice->suboffsets[__pyx_v_i]) = -1; } /* "View.MemoryView":1193 * * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, * ndim, order) # <<<<<<<<<<<<<< * * */ __pyx_fill_contig_strides_array((&(__pyx_v_tmpslice->shape[0])), (&(__pyx_v_tmpslice->strides[0])), __pyx_v_itemsize, __pyx_v_ndim, __pyx_v_order); /* "View.MemoryView":1196 * * * for i in range(ndim): # <<<<<<<<<<<<<< * if tmpslice.shape[i] == 1: * tmpslice.strides[i] = 0 */ __pyx_t_3 = __pyx_v_ndim; for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_3; __pyx_t_5+=1) { __pyx_v_i = __pyx_t_5; /* "View.MemoryView":1197 * * for i in range(ndim): * if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<< * tmpslice.strides[i] = 0 * */ __pyx_t_2 = (((__pyx_v_tmpslice->shape[__pyx_v_i]) == 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1198 * for i in range(ndim): * if tmpslice.shape[i] == 1: * tmpslice.strides[i] = 0 # <<<<<<<<<<<<<< * * if slice_is_contig(src, order, ndim): */ (__pyx_v_tmpslice->strides[__pyx_v_i]) = 0; goto __pyx_L8; } __pyx_L8:; } /* "View.MemoryView":1200 * tmpslice.strides[i] = 0 * * if slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< * memcpy(result, src.data, size) * else: */ __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1201 * * if slice_is_contig(src, order, ndim): * memcpy(result, src.data, size) # <<<<<<<<<<<<<< * else: * copy_strided_to_strided(src, tmpslice, ndim, itemsize) */ memcpy(__pyx_v_result, __pyx_v_src->data, __pyx_v_size); goto __pyx_L9; } /*else*/ { /* "View.MemoryView":1203 * memcpy(result, src.data, size) * else: * copy_strided_to_strided(src, tmpslice, ndim, itemsize) # <<<<<<<<<<<<<< * * return result */ copy_strided_to_strided(__pyx_v_src, __pyx_v_tmpslice, __pyx_v_ndim, __pyx_v_itemsize); } __pyx_L9:; /* "View.MemoryView":1205 * copy_strided_to_strided(src, tmpslice, ndim, itemsize) * * return result # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_result; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_AddTraceback("View.MemoryView.copy_data_to_temp", __pyx_clineno, __pyx_lineno, __pyx_filename); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } __pyx_r = NULL; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1210 * * @cname('__pyx_memoryview_err_extents') * cdef int _err_extents(int i, Py_ssize_t extent1, # <<<<<<<<<<<<<< * Py_ssize_t extent2) except -1 with gil: * raise ValueError("got differing extents in dimension %d (got %d and %d)" % */ static int __pyx_memoryview_err_extents(int __pyx_v_i, Py_ssize_t __pyx_v_extent1, Py_ssize_t __pyx_v_extent2) { int __pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_RefNannySetupContext("_err_extents", 0); /* "View.MemoryView":1213 * Py_ssize_t extent2) except -1 with gil: * raise ValueError("got differing extents in dimension %d (got %d and %d)" % * (i, extent1, extent2)) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_err_dim') */ __pyx_t_1 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1213; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_extent1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1213; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyInt_FromSsize_t(__pyx_v_extent2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1213; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyTuple_New(3); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1213; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_4, 2, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_1 = 0; __pyx_t_2 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_45), ((PyObject *)__pyx_t_4)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1212; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1212; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1212; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1212; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView._err_extents", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_RefNannyFinishContext(); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif return __pyx_r; } /* "View.MemoryView":1216 * * @cname('__pyx_memoryview_err_dim') * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: # <<<<<<<<<<<<<< * raise error(msg.decode('ascii') % dim) * */ static int __pyx_memoryview_err_dim(PyObject *__pyx_v_error, char *__pyx_v_msg, int __pyx_v_dim) { int __pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_RefNannySetupContext("_err_dim", 0); __Pyx_INCREF(__pyx_v_error); /* "View.MemoryView":1217 * @cname('__pyx_memoryview_err_dim') * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: * raise error(msg.decode('ascii') % dim) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_err') */ __pyx_t_1 = ((PyObject *)__Pyx_decode_c_string(__pyx_v_msg, 0, strlen(__pyx_v_msg), NULL, NULL, PyUnicode_DecodeASCII)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __pyx_t_2 = PyInt_FromLong(__pyx_v_dim); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_t_1), __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_v_error, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView._err_dim", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_XDECREF(__pyx_v_error); __Pyx_RefNannyFinishContext(); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif return __pyx_r; } /* "View.MemoryView":1220 * * @cname('__pyx_memoryview_err') * cdef int _err(object error, char *msg) except -1 with gil: # <<<<<<<<<<<<<< * if msg != NULL: * raise error(msg.decode('ascii')) */ static int __pyx_memoryview_err(PyObject *__pyx_v_error, char *__pyx_v_msg) { int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_RefNannySetupContext("_err", 0); __Pyx_INCREF(__pyx_v_error); /* "View.MemoryView":1221 * @cname('__pyx_memoryview_err') * cdef int _err(object error, char *msg) except -1 with gil: * if msg != NULL: # <<<<<<<<<<<<<< * raise error(msg.decode('ascii')) * else: */ __pyx_t_1 = ((__pyx_v_msg != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":1222 * cdef int _err(object error, char *msg) except -1 with gil: * if msg != NULL: * raise error(msg.decode('ascii')) # <<<<<<<<<<<<<< * else: * raise error */ __pyx_t_2 = ((PyObject *)__Pyx_decode_c_string(__pyx_v_msg, 0, strlen(__pyx_v_msg), NULL, NULL, PyUnicode_DecodeASCII)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1222; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1222; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_t_2)); __Pyx_GIVEREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(__pyx_v_error, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1222; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_2, 0, 0, 0); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1222; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1224 * raise error(msg.decode('ascii')) * else: * raise error # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_copy_contents') */ __Pyx_Raise(__pyx_v_error, 0, 0, 0); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1224; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L3:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView._err", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_XDECREF(__pyx_v_error); __Pyx_RefNannyFinishContext(); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif return __pyx_r; } /* "View.MemoryView":1227 * * @cname('__pyx_memoryview_copy_contents') * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< * __Pyx_memviewslice dst, * int src_ndim, int dst_ndim, */ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_memviewslice __pyx_v_dst, int __pyx_v_src_ndim, int __pyx_v_dst_ndim, int __pyx_v_dtype_is_object) { void *__pyx_v_tmpdata; size_t __pyx_v_itemsize; int __pyx_v_i; char __pyx_v_order; int __pyx_v_broadcasting; int __pyx_v_direct_copy; __Pyx_memviewslice __pyx_v_tmp; int __pyx_v_ndim; int __pyx_r; Py_ssize_t __pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; int __pyx_t_5; void *__pyx_t_6; int __pyx_t_7; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; /* "View.MemoryView":1235 * Check for overlapping memory and verify the shapes. * """ * cdef void *tmpdata = NULL # <<<<<<<<<<<<<< * cdef size_t itemsize = src.memview.view.itemsize * cdef int i */ __pyx_v_tmpdata = NULL; /* "View.MemoryView":1236 * """ * cdef void *tmpdata = NULL * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< * cdef int i * cdef char order = get_best_order(&src, src_ndim) */ __pyx_t_1 = __pyx_v_src.memview->view.itemsize; __pyx_v_itemsize = __pyx_t_1; /* "View.MemoryView":1238 * cdef size_t itemsize = src.memview.view.itemsize * cdef int i * cdef char order = get_best_order(&src, src_ndim) # <<<<<<<<<<<<<< * cdef bint broadcasting = False * cdef bint direct_copy = False */ __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_src), __pyx_v_src_ndim); /* "View.MemoryView":1239 * cdef int i * cdef char order = get_best_order(&src, src_ndim) * cdef bint broadcasting = False # <<<<<<<<<<<<<< * cdef bint direct_copy = False * cdef __Pyx_memviewslice tmp */ __pyx_v_broadcasting = 0; /* "View.MemoryView":1240 * cdef char order = get_best_order(&src, src_ndim) * cdef bint broadcasting = False * cdef bint direct_copy = False # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice tmp * */ __pyx_v_direct_copy = 0; /* "View.MemoryView":1243 * cdef __Pyx_memviewslice tmp * * if src_ndim < dst_ndim: # <<<<<<<<<<<<<< * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: */ __pyx_t_2 = ((__pyx_v_src_ndim < __pyx_v_dst_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1244 * * if src_ndim < dst_ndim: * broadcast_leading(&src, src_ndim, dst_ndim) # <<<<<<<<<<<<<< * elif dst_ndim < src_ndim: * broadcast_leading(&dst, dst_ndim, src_ndim) */ __pyx_memoryview_broadcast_leading((&__pyx_v_src), __pyx_v_src_ndim, __pyx_v_dst_ndim); goto __pyx_L3; } /* "View.MemoryView":1245 * if src_ndim < dst_ndim: * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: # <<<<<<<<<<<<<< * broadcast_leading(&dst, dst_ndim, src_ndim) * */ __pyx_t_2 = ((__pyx_v_dst_ndim < __pyx_v_src_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1246 * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: * broadcast_leading(&dst, dst_ndim, src_ndim) # <<<<<<<<<<<<<< * * cdef int ndim = max(src_ndim, dst_ndim) */ __pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":1248 * broadcast_leading(&dst, dst_ndim, src_ndim) * * cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<< * * for i in range(ndim): */ __pyx_t_3 = __pyx_v_dst_ndim; __pyx_t_4 = __pyx_v_src_ndim; if (((__pyx_t_3 > __pyx_t_4) != 0)) { __pyx_t_5 = __pyx_t_3; } else { __pyx_t_5 = __pyx_t_4; } __pyx_v_ndim = __pyx_t_5; /* "View.MemoryView":1250 * cdef int ndim = max(src_ndim, dst_ndim) * * for i in range(ndim): # <<<<<<<<<<<<<< * if src.shape[i] != dst.shape[i]: * if src.shape[i] == 1: */ __pyx_t_5 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_5; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1251 * * for i in range(ndim): * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< * if src.shape[i] == 1: * broadcasting = True */ __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])) != 0); if (__pyx_t_2) { /* "View.MemoryView":1252 * for i in range(ndim): * if src.shape[i] != dst.shape[i]: * if src.shape[i] == 1: # <<<<<<<<<<<<<< * broadcasting = True * src.strides[i] = 0 */ __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1253 * if src.shape[i] != dst.shape[i]: * if src.shape[i] == 1: * broadcasting = True # <<<<<<<<<<<<<< * src.strides[i] = 0 * else: */ __pyx_v_broadcasting = 1; /* "View.MemoryView":1254 * if src.shape[i] == 1: * broadcasting = True * src.strides[i] = 0 # <<<<<<<<<<<<<< * else: * _err_extents(i, dst.shape[i], src.shape[i]) */ (__pyx_v_src.strides[__pyx_v_i]) = 0; goto __pyx_L7; } /*else*/ { /* "View.MemoryView":1256 * src.strides[i] = 0 * else: * _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<< * * if src.suboffsets[i] >= 0: */ __pyx_t_4 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1256; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L7:; goto __pyx_L6; } __pyx_L6:; /* "View.MemoryView":1258 * _err_extents(i, dst.shape[i], src.shape[i]) * * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Dimension %d is not direct", i) * */ __pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":1259 * * if src.suboffsets[i] >= 0: * _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<< * * if slices_overlap(&src, &dst, ndim, itemsize): */ __pyx_t_4 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, __pyx_k_46, __pyx_v_i); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1259; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; } /* "View.MemoryView":1261 * _err_dim(ValueError, "Dimension %d is not direct", i) * * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< * * if not slice_is_contig(&src, order, ndim): */ __pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0); if (__pyx_t_2) { /* "View.MemoryView":1263 * if slices_overlap(&src, &dst, ndim, itemsize): * * if not slice_is_contig(&src, order, ndim): # <<<<<<<<<<<<<< * order = get_best_order(&dst, ndim) * */ __pyx_t_2 = ((!(__pyx_memviewslice_is_contig((&__pyx_v_src), __pyx_v_order, __pyx_v_ndim) != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1264 * * if not slice_is_contig(&src, order, ndim): * order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<< * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) */ __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim); goto __pyx_L10; } __pyx_L10:; /* "View.MemoryView":1266 * order = get_best_order(&dst, ndim) * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<< * src = tmp * */ __pyx_t_6 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_6 == NULL)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1266; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_tmpdata = __pyx_t_6; /* "View.MemoryView":1267 * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) * src = tmp # <<<<<<<<<<<<<< * * if not broadcasting: */ __pyx_v_src = __pyx_v_tmp; goto __pyx_L9; } __pyx_L9:; /* "View.MemoryView":1269 * src = tmp * * if not broadcasting: # <<<<<<<<<<<<<< * * */ __pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1272 * * * if slice_is_contig(&src, 'C', ndim): # <<<<<<<<<<<<<< * direct_copy = slice_is_contig(&dst, 'C', ndim) * elif slice_is_contig(&src, 'F', ndim): */ __pyx_t_2 = (__pyx_memviewslice_is_contig((&__pyx_v_src), 'C', __pyx_v_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1273 * * if slice_is_contig(&src, 'C', ndim): * direct_copy = slice_is_contig(&dst, 'C', ndim) # <<<<<<<<<<<<<< * elif slice_is_contig(&src, 'F', ndim): * direct_copy = slice_is_contig(&dst, 'F', ndim) */ __pyx_v_direct_copy = __pyx_memviewslice_is_contig((&__pyx_v_dst), 'C', __pyx_v_ndim); goto __pyx_L12; } /* "View.MemoryView":1274 * if slice_is_contig(&src, 'C', ndim): * direct_copy = slice_is_contig(&dst, 'C', ndim) * elif slice_is_contig(&src, 'F', ndim): # <<<<<<<<<<<<<< * direct_copy = slice_is_contig(&dst, 'F', ndim) * */ __pyx_t_2 = (__pyx_memviewslice_is_contig((&__pyx_v_src), 'F', __pyx_v_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1275 * direct_copy = slice_is_contig(&dst, 'C', ndim) * elif slice_is_contig(&src, 'F', ndim): * direct_copy = slice_is_contig(&dst, 'F', ndim) # <<<<<<<<<<<<<< * * if direct_copy: */ __pyx_v_direct_copy = __pyx_memviewslice_is_contig((&__pyx_v_dst), 'F', __pyx_v_ndim); goto __pyx_L12; } __pyx_L12:; /* "View.MemoryView":1277 * direct_copy = slice_is_contig(&dst, 'F', ndim) * * if direct_copy: # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ __pyx_t_2 = (__pyx_v_direct_copy != 0); if (__pyx_t_2) { /* "View.MemoryView":1279 * if direct_copy: * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1280 * * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<< * refcount_copying(&dst, dtype_is_object, ndim, True) * return 0 */ memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim)); /* "View.MemoryView":1281 * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * return 0 * */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1282 * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) * return 0 # <<<<<<<<<<<<<< * * if order == 'F' == get_best_order(&dst, ndim): */ __pyx_r = 0; goto __pyx_L0; goto __pyx_L13; } __pyx_L13:; goto __pyx_L11; } __pyx_L11:; /* "View.MemoryView":1284 * return 0 * * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< * * */ __pyx_t_2 = (__pyx_v_order == 'F'); if (__pyx_t_2) { __pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim)); } __pyx_t_7 = (__pyx_t_2 != 0); if (__pyx_t_7) { /* "View.MemoryView":1287 * * * transpose_memslice(&src) # <<<<<<<<<<<<<< * transpose_memslice(&dst) * */ __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1287; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":1288 * * transpose_memslice(&src) * transpose_memslice(&dst) # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1288; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L14; } __pyx_L14:; /* "View.MemoryView":1290 * transpose_memslice(&dst) * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1291 * * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< * refcount_copying(&dst, dtype_is_object, ndim, True) * */ copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); /* "View.MemoryView":1292 * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * * free(tmpdata) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1294 * refcount_copying(&dst, dtype_is_object, ndim, True) * * free(tmpdata) # <<<<<<<<<<<<<< * return 0 * */ free(__pyx_v_tmpdata); /* "View.MemoryView":1295 * * free(tmpdata) * return 0 # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_broadcast_leading') */ __pyx_r = 0; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } __pyx_r = -1; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1298 * * @cname('__pyx_memoryview_broadcast_leading') * cdef void broadcast_leading(__Pyx_memviewslice *slice, # <<<<<<<<<<<<<< * int ndim, * int ndim_other) nogil: */ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_slice, int __pyx_v_ndim, int __pyx_v_ndim_other) { int __pyx_v_i; int __pyx_v_offset; int __pyx_t_1; int __pyx_t_2; /* "View.MemoryView":1302 * int ndim_other) nogil: * cdef int i * cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<< * * for i in range(ndim - 1, -1, -1): */ __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim); /* "View.MemoryView":1304 * cdef int offset = ndim_other - ndim * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * slice.shape[i + offset] = slice.shape[i] * slice.strides[i + offset] = slice.strides[i] */ for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { __pyx_v_i = __pyx_t_1; /* "View.MemoryView":1305 * * for i in range(ndim - 1, -1, -1): * slice.shape[i + offset] = slice.shape[i] # <<<<<<<<<<<<<< * slice.strides[i + offset] = slice.strides[i] * slice.suboffsets[i + offset] = slice.suboffsets[i] */ (__pyx_v_slice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_slice->shape[__pyx_v_i]); /* "View.MemoryView":1306 * for i in range(ndim - 1, -1, -1): * slice.shape[i + offset] = slice.shape[i] * slice.strides[i + offset] = slice.strides[i] # <<<<<<<<<<<<<< * slice.suboffsets[i + offset] = slice.suboffsets[i] * */ (__pyx_v_slice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_slice->strides[__pyx_v_i]); /* "View.MemoryView":1307 * slice.shape[i + offset] = slice.shape[i] * slice.strides[i + offset] = slice.strides[i] * slice.suboffsets[i + offset] = slice.suboffsets[i] # <<<<<<<<<<<<<< * * for i in range(offset): */ (__pyx_v_slice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_slice->suboffsets[__pyx_v_i]); } /* "View.MemoryView":1309 * slice.suboffsets[i + offset] = slice.suboffsets[i] * * for i in range(offset): # <<<<<<<<<<<<<< * slice.shape[i] = 1 * slice.strides[i] = slice.strides[0] */ __pyx_t_1 = __pyx_v_offset; for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) { __pyx_v_i = __pyx_t_2; /* "View.MemoryView":1310 * * for i in range(offset): * slice.shape[i] = 1 # <<<<<<<<<<<<<< * slice.strides[i] = slice.strides[0] * slice.suboffsets[i] = -1 */ (__pyx_v_slice->shape[__pyx_v_i]) = 1; /* "View.MemoryView":1311 * for i in range(offset): * slice.shape[i] = 1 * slice.strides[i] = slice.strides[0] # <<<<<<<<<<<<<< * slice.suboffsets[i] = -1 * */ (__pyx_v_slice->strides[__pyx_v_i]) = (__pyx_v_slice->strides[0]); /* "View.MemoryView":1312 * slice.shape[i] = 1 * slice.strides[i] = slice.strides[0] * slice.suboffsets[i] = -1 # <<<<<<<<<<<<<< * * */ (__pyx_v_slice->suboffsets[__pyx_v_i]) = -1; } } /* "View.MemoryView":1320 * * @cname('__pyx_memoryview_refcount_copying') * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< * int ndim, bint inc) nogil: * */ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) { int __pyx_t_1; /* "View.MemoryView":1324 * * * if dtype_is_object: # <<<<<<<<<<<<<< * refcount_objects_in_slice_with_gil(dst.data, dst.shape, * dst.strides, ndim, inc) */ __pyx_t_1 = (__pyx_v_dtype_is_object != 0); if (__pyx_t_1) { /* "View.MemoryView":1326 * if dtype_is_object: * refcount_objects_in_slice_with_gil(dst.data, dst.shape, * dst.strides, ndim, inc) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') */ __pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc); goto __pyx_L3; } __pyx_L3:; } /* "View.MemoryView":1329 * * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, * bint inc) with gil: */ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { __Pyx_RefNannyDeclarations #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_RefNannySetupContext("refcount_objects_in_slice_with_gil", 0); /* "View.MemoryView":1332 * Py_ssize_t *strides, int ndim, * bint inc) with gil: * refcount_objects_in_slice(data, shape, strides, ndim, inc) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_refcount_objects_in_slice') */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc); __Pyx_RefNannyFinishContext(); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } /* "View.MemoryView":1335 * * @cname('__pyx_memoryview_refcount_objects_in_slice') * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, bint inc): * cdef Py_ssize_t i */ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; __Pyx_RefNannyDeclarations Py_ssize_t __pyx_t_1; Py_ssize_t __pyx_t_2; int __pyx_t_3; __Pyx_RefNannySetupContext("refcount_objects_in_slice", 0); /* "View.MemoryView":1339 * cdef Py_ssize_t i * * for i in range(shape[0]): # <<<<<<<<<<<<<< * if ndim == 1: * if inc: */ __pyx_t_1 = (__pyx_v_shape[0]); for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) { __pyx_v_i = __pyx_t_2; /* "View.MemoryView":1340 * * for i in range(shape[0]): * if ndim == 1: # <<<<<<<<<<<<<< * if inc: * Py_INCREF(( data)[0]) */ __pyx_t_3 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_3) { /* "View.MemoryView":1341 * for i in range(shape[0]): * if ndim == 1: * if inc: # <<<<<<<<<<<<<< * Py_INCREF(( data)[0]) * else: */ __pyx_t_3 = (__pyx_v_inc != 0); if (__pyx_t_3) { /* "View.MemoryView":1342 * if ndim == 1: * if inc: * Py_INCREF(( data)[0]) # <<<<<<<<<<<<<< * else: * Py_DECREF(( data)[0]) */ Py_INCREF((((PyObject **)__pyx_v_data)[0])); goto __pyx_L6; } /*else*/ { /* "View.MemoryView":1344 * Py_INCREF(( data)[0]) * else: * Py_DECREF(( data)[0]) # <<<<<<<<<<<<<< * else: * refcount_objects_in_slice(data, shape + 1, strides + 1, */ Py_DECREF((((PyObject **)__pyx_v_data)[0])); } __pyx_L6:; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":1347 * else: * refcount_objects_in_slice(data, shape + 1, strides + 1, * ndim - 1, inc) # <<<<<<<<<<<<<< * * data += strides[0] */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_inc); } __pyx_L5:; /* "View.MemoryView":1349 * ndim - 1, inc) * * data += strides[0] # <<<<<<<<<<<<<< * * */ __pyx_v_data = (__pyx_v_data + (__pyx_v_strides[0])); } __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":1355 * * @cname('__pyx_memoryview_slice_assign_scalar') * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # <<<<<<<<<<<<<< * size_t itemsize, void *item, * bint dtype_is_object) nogil: */ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item, int __pyx_v_dtype_is_object) { /* "View.MemoryView":1358 * size_t itemsize, void *item, * bint dtype_is_object) nogil: * refcount_copying(dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, * itemsize, item) */ __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1360 * refcount_copying(dst, dtype_is_object, ndim, False) * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, * itemsize, item) # <<<<<<<<<<<<<< * refcount_copying(dst, dtype_is_object, ndim, True) * */ __pyx_memoryview__slice_assign_scalar(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_itemsize, __pyx_v_item); /* "View.MemoryView":1361 * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, * itemsize, item) * refcount_copying(dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * * */ __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 1); } /* "View.MemoryView":1365 * * @cname('__pyx_memoryview__slice_assign_scalar') * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, * size_t itemsize, void *item) nogil: */ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; Py_ssize_t __pyx_v_stride; Py_ssize_t __pyx_v_extent; int __pyx_t_1; Py_ssize_t __pyx_t_2; Py_ssize_t __pyx_t_3; /* "View.MemoryView":1369 * size_t itemsize, void *item) nogil: * cdef Py_ssize_t i * cdef Py_ssize_t stride = strides[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t extent = shape[0] * */ __pyx_v_stride = (__pyx_v_strides[0]); /* "View.MemoryView":1370 * cdef Py_ssize_t i * cdef Py_ssize_t stride = strides[0] * cdef Py_ssize_t extent = shape[0] # <<<<<<<<<<<<<< * * if ndim == 1: */ __pyx_v_extent = (__pyx_v_shape[0]); /* "View.MemoryView":1372 * cdef Py_ssize_t extent = shape[0] * * if ndim == 1: # <<<<<<<<<<<<<< * for i in range(extent): * memcpy(data, item, itemsize) */ __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_1) { /* "View.MemoryView":1373 * * if ndim == 1: * for i in range(extent): # <<<<<<<<<<<<<< * memcpy(data, item, itemsize) * data += stride */ __pyx_t_2 = __pyx_v_extent; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1374 * if ndim == 1: * for i in range(extent): * memcpy(data, item, itemsize) # <<<<<<<<<<<<<< * data += stride * else: */ memcpy(__pyx_v_data, __pyx_v_item, __pyx_v_itemsize); /* "View.MemoryView":1375 * for i in range(extent): * memcpy(data, item, itemsize) * data += stride # <<<<<<<<<<<<<< * else: * for i in range(extent): */ __pyx_v_data = (__pyx_v_data + __pyx_v_stride); } goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1377 * data += stride * else: * for i in range(extent): # <<<<<<<<<<<<<< * _slice_assign_scalar(data, shape + 1, strides + 1, * ndim - 1, itemsize, item) */ __pyx_t_2 = __pyx_v_extent; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1379 * for i in range(extent): * _slice_assign_scalar(data, shape + 1, strides + 1, * ndim - 1, itemsize, item) # <<<<<<<<<<<<<< * data += stride * */ __pyx_memoryview__slice_assign_scalar(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize, __pyx_v_item); /* "View.MemoryView":1380 * _slice_assign_scalar(data, shape + 1, strides + 1, * ndim - 1, itemsize, item) * data += stride # <<<<<<<<<<<<<< * * */ __pyx_v_data = (__pyx_v_data + __pyx_v_stride); } } __pyx_L3:; } static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview; static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_memoryview_obj *p; PyObject *o; o = (*t->tp_alloc)(t, 0); if (unlikely(!o)) return 0; p = ((struct __pyx_memoryview_obj *)o); p->__pyx_vtab = __pyx_vtabptr_memoryview; p->obj = Py_None; Py_INCREF(Py_None); p->_size = Py_None; Py_INCREF(Py_None); p->_array_interface = Py_None; Py_INCREF(Py_None); p->view.obj = NULL; if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) { Py_DECREF(o); o = 0; } return o; } static void __pyx_tp_dealloc_memoryview(PyObject *o) { struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; PyObject_GC_UnTrack(o); { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_memoryview___dealloc__(o); if (PyErr_Occurred()) PyErr_WriteUnraisable(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->obj); Py_CLEAR(p->_size); Py_CLEAR(p->_array_interface); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) { int e; struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; if (p->obj) { e = (*v)(p->obj, a); if (e) return e; } if (p->_size) { e = (*v)(p->_size, a); if (e) return e; } if (p->_array_interface) { e = (*v)(p->_array_interface, a); if (e) return e; } if (p->view.obj) { e = (*v)(p->view.obj, a); if (e) return e; } return 0; } static int __pyx_tp_clear_memoryview(PyObject *o) { struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; PyObject* tmp; tmp = ((PyObject*)p->obj); p->obj = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->_size); p->_size = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->_array_interface); p->_array_interface = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); Py_CLEAR(p->view.obj); return 0; } static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) { PyObject *r; PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); Py_DECREF(x); return r; } static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) { if (v) { return __pyx_memoryview___setitem__(o, i, v); } else { PyErr_Format(PyExc_NotImplementedError, "Subscript deletion not supported by %s", Py_TYPE(o)->tp_name); return -1; } } static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_transpose(o); } static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview__get__base(o); } static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_shape(o); } static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_strides(o); } static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_suboffsets(o); } static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_ndim(o); } static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_itemsize(o); } static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_nbytes(o); } static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_size(o); } static PyMethodDef __pyx_methods_memoryview[] = { {__Pyx_NAMESTR("is_c_contig"), (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, __Pyx_DOCSTR(0)}, {__Pyx_NAMESTR("is_f_contig"), (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, __Pyx_DOCSTR(0)}, {__Pyx_NAMESTR("copy"), (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, __Pyx_DOCSTR(0)}, {__Pyx_NAMESTR("copy_fortran"), (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, __Pyx_DOCSTR(0)}, {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets_memoryview[] = { {(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, 0, 0}, {(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, 0, 0}, {(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, 0, 0}, {(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, 0, 0}, {(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, 0, 0}, {(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, 0, 0}, {(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, 0, 0}, {(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, 0, 0}, {(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, 0, 0}, {0, 0, 0, 0, 0} }; static PySequenceMethods __pyx_tp_as_sequence_memoryview = { __pyx_memoryview___len__, /*sq_length*/ 0, /*sq_concat*/ 0, /*sq_repeat*/ __pyx_sq_item_memoryview, /*sq_item*/ 0, /*sq_slice*/ 0, /*sq_ass_item*/ 0, /*sq_ass_slice*/ 0, /*sq_contains*/ 0, /*sq_inplace_concat*/ 0, /*sq_inplace_repeat*/ }; static PyMappingMethods __pyx_tp_as_mapping_memoryview = { __pyx_memoryview___len__, /*mp_length*/ __pyx_memoryview___getitem__, /*mp_subscript*/ __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/ }; static PyBufferProcs __pyx_tp_as_buffer_memoryview = { #if PY_MAJOR_VERSION < 3 0, /*bf_getreadbuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getwritebuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getsegcount*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getcharbuffer*/ #endif #if PY_VERSION_HEX >= 0x02060000 __pyx_memoryview_getbuffer, /*bf_getbuffer*/ #endif #if PY_VERSION_HEX >= 0x02060000 0, /*bf_releasebuffer*/ #endif }; static PyTypeObject __pyx_type___pyx_memoryview = { PyVarObject_HEAD_INIT(0, 0) __Pyx_NAMESTR("_qhull32.memoryview"), /*tp_name*/ sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_memoryview, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #else 0, /*reserved*/ #endif __pyx_memoryview___repr__, /*tp_repr*/ 0, /*tp_as_number*/ &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/ &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ __pyx_memoryview___str__, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ 0, /*tp_doc*/ __pyx_tp_traverse_memoryview, /*tp_traverse*/ __pyx_tp_clear_memoryview, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_memoryview, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets_memoryview, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_memoryview, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ #if PY_VERSION_HEX >= 0x02060000 0, /*tp_version_tag*/ #endif }; static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_array_obj *p; PyObject *o; o = (*t->tp_alloc)(t, 0); if (unlikely(!o)) return 0; p = ((struct __pyx_array_obj *)o); p->mode = ((PyObject*)Py_None); Py_INCREF(Py_None); p->_format = ((PyObject*)Py_None); Py_INCREF(Py_None); if (unlikely(__pyx_array___cinit__(o, a, k) < 0)) { Py_DECREF(o); o = 0; } return o; } static void __pyx_tp_dealloc_array(PyObject *o) { struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; PyObject_GC_UnTrack(o); { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_array___dealloc__(o); if (PyErr_Occurred()) PyErr_WriteUnraisable(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->mode); Py_CLEAR(p->_format); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_array(PyObject *o, visitproc v, void *a) { int e; struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; if (p->mode) { e = (*v)(p->mode, a); if (e) return e; } if (p->_format) { e = (*v)(p->_format, a); if (e) return e; } return 0; } static int __pyx_tp_clear_array(PyObject *o) { struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; PyObject* tmp; tmp = ((PyObject*)p->mode); p->mode = ((PyObject*)Py_None); Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->_format); p->_format = ((PyObject*)Py_None); Py_INCREF(Py_None); Py_XDECREF(tmp); return 0; } static PyObject *__pyx_sq_item_array(PyObject *o, Py_ssize_t i) { PyObject *r; PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); Py_DECREF(x); return r; } static int __pyx_mp_ass_subscript_array(PyObject *o, PyObject *i, PyObject *v) { if (v) { return __pyx_array___setitem__(o, i, v); } else { PyErr_Format(PyExc_NotImplementedError, "Subscript deletion not supported by %s", Py_TYPE(o)->tp_name); return -1; } } static PyObject *__pyx_tp_getattro_array(PyObject *o, PyObject *n) { PyObject *v = PyObject_GenericGetAttr(o, n); if (!v && PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); v = __pyx_array___getattr__(o, n); } return v; } static PyObject *__pyx_getprop___pyx_array_memview(PyObject *o, CYTHON_UNUSED void *x) { return get_memview(o); } static PyMethodDef __pyx_methods_array[] = { {__Pyx_NAMESTR("__getattr__"), (PyCFunction)__pyx_array___getattr__, METH_O|METH_COEXIST, __Pyx_DOCSTR(0)}, {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets_array[] = { {(char *)"memview", __pyx_getprop___pyx_array_memview, 0, 0, 0}, {0, 0, 0, 0, 0} }; static PySequenceMethods __pyx_tp_as_sequence_array = { 0, /*sq_length*/ 0, /*sq_concat*/ 0, /*sq_repeat*/ __pyx_sq_item_array, /*sq_item*/ 0, /*sq_slice*/ 0, /*sq_ass_item*/ 0, /*sq_ass_slice*/ 0, /*sq_contains*/ 0, /*sq_inplace_concat*/ 0, /*sq_inplace_repeat*/ }; static PyMappingMethods __pyx_tp_as_mapping_array = { 0, /*mp_length*/ __pyx_array___getitem__, /*mp_subscript*/ __pyx_mp_ass_subscript_array, /*mp_ass_subscript*/ }; static PyBufferProcs __pyx_tp_as_buffer_array = { #if PY_MAJOR_VERSION < 3 0, /*bf_getreadbuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getwritebuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getsegcount*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getcharbuffer*/ #endif #if PY_VERSION_HEX >= 0x02060000 __pyx_array_getbuffer, /*bf_getbuffer*/ #endif #if PY_VERSION_HEX >= 0x02060000 0, /*bf_releasebuffer*/ #endif }; static PyTypeObject __pyx_type___pyx_array = { PyVarObject_HEAD_INIT(0, 0) __Pyx_NAMESTR("_qhull32.array"), /*tp_name*/ sizeof(struct __pyx_array_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_array, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #else 0, /*reserved*/ #endif 0, /*tp_repr*/ 0, /*tp_as_number*/ &__pyx_tp_as_sequence_array, /*tp_as_sequence*/ &__pyx_tp_as_mapping_array, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ 0, /*tp_str*/ __pyx_tp_getattro_array, /*tp_getattro*/ 0, /*tp_setattro*/ &__pyx_tp_as_buffer_array, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ 0, /*tp_doc*/ __pyx_tp_traverse_array, /*tp_traverse*/ __pyx_tp_clear_array, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_array, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets_array, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_array, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ #if PY_VERSION_HEX >= 0x02060000 0, /*tp_version_tag*/ #endif }; static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) { struct __pyx_MemviewEnum_obj *p; PyObject *o; o = (*t->tp_alloc)(t, 0); if (unlikely(!o)) return 0; p = ((struct __pyx_MemviewEnum_obj *)o); p->name = Py_None; Py_INCREF(Py_None); return o; } static void __pyx_tp_dealloc_Enum(PyObject *o) { struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; PyObject_GC_UnTrack(o); Py_CLEAR(p->name); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) { int e; struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; if (p->name) { e = (*v)(p->name, a); if (e) return e; } return 0; } static int __pyx_tp_clear_Enum(PyObject *o) { struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; PyObject* tmp; tmp = ((PyObject*)p->name); p->name = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); return 0; } static PyMethodDef __pyx_methods_Enum[] = { {0, 0, 0, 0} }; static PyTypeObject __pyx_type___pyx_MemviewEnum = { PyVarObject_HEAD_INIT(0, 0) __Pyx_NAMESTR("_qhull32.Enum"), /*tp_name*/ sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_Enum, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #else 0, /*reserved*/ #endif __pyx_MemviewEnum___repr__, /*tp_repr*/ 0, /*tp_as_number*/ 0, /*tp_as_sequence*/ 0, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ 0, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ 0, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ 0, /*tp_doc*/ __pyx_tp_traverse_Enum, /*tp_traverse*/ __pyx_tp_clear_Enum, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_Enum, /*tp_methods*/ 0, /*tp_members*/ 0, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ __pyx_MemviewEnum___init__, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_Enum, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ #if PY_VERSION_HEX >= 0x02060000 0, /*tp_version_tag*/ #endif }; static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice; static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_memoryviewslice_obj *p; PyObject *o = __pyx_tp_new_memoryview(t, a, k); if (unlikely(!o)) return 0; p = ((struct __pyx_memoryviewslice_obj *)o); p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice; p->from_object = Py_None; Py_INCREF(Py_None); p->from_slice.memview = NULL; return o; } static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) { struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; PyObject_GC_UnTrack(o); { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_memoryviewslice___dealloc__(o); if (PyErr_Occurred()) PyErr_WriteUnraisable(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->from_object); PyObject_GC_Track(o); __pyx_tp_dealloc_memoryview(o); } static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) { int e; struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e; if (p->from_object) { e = (*v)(p->from_object, a); if (e) return e; } return 0; } static int __pyx_tp_clear__memoryviewslice(PyObject *o) { struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; PyObject* tmp; __pyx_tp_clear_memoryview(o); tmp = ((PyObject*)p->from_object); p->from_object = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); __PYX_XDEC_MEMVIEW(&p->from_slice, 1); return 0; } static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryviewslice__get__base(o); } static PyMethodDef __pyx_methods__memoryviewslice[] = { {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = { {(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, 0, 0}, {0, 0, 0, 0, 0} }; static PyTypeObject __pyx_type___pyx_memoryviewslice = { PyVarObject_HEAD_INIT(0, 0) __Pyx_NAMESTR("_qhull32._memoryviewslice"), /*tp_name*/ sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #else 0, /*reserved*/ #endif #if CYTHON_COMPILING_IN_PYPY __pyx_memoryview___repr__, /*tp_repr*/ #else 0, /*tp_repr*/ #endif 0, /*tp_as_number*/ 0, /*tp_as_sequence*/ 0, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ #if CYTHON_COMPILING_IN_PYPY __pyx_memoryview___str__, /*tp_str*/ #else 0, /*tp_str*/ #endif 0, /*tp_getattro*/ 0, /*tp_setattro*/ 0, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ __Pyx_DOCSTR("Internal class for passing memoryview slices to Python"), /*tp_doc*/ __pyx_tp_traverse__memoryviewslice, /*tp_traverse*/ __pyx_tp_clear__memoryviewslice, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods__memoryviewslice, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets__memoryviewslice, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new__memoryviewslice, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ #if PY_VERSION_HEX >= 0x02060000 0, /*tp_version_tag*/ #endif }; static PyMethodDef __pyx_methods[] = { {0, 0, 0, 0} }; #if PY_MAJOR_VERSION >= 3 static struct PyModuleDef __pyx_moduledef = { #if PY_VERSION_HEX < 0x03020000 { PyObject_HEAD_INIT(NULL) NULL, 0, NULL }, #else PyModuleDef_HEAD_INIT, #endif __Pyx_NAMESTR("_qhull32"), 0, /* m_doc */ -1, /* m_size */ __pyx_methods /* m_methods */, NULL, /* m_reload */ NULL, /* m_traverse */ NULL, /* m_clear */ NULL /* m_free */ }; #endif static __Pyx_StringTabEntry __pyx_string_tab[] = { {&__pyx_kp_u_12, __pyx_k_12, sizeof(__pyx_k_12), 0, 1, 0, 0}, {&__pyx_kp_s_14, __pyx_k_14, sizeof(__pyx_k_14), 0, 0, 1, 0}, {&__pyx_kp_s_16, __pyx_k_16, sizeof(__pyx_k_16), 0, 0, 1, 0}, {&__pyx_kp_s_19, __pyx_k_19, sizeof(__pyx_k_19), 0, 0, 1, 0}, {&__pyx_kp_u_2, __pyx_k_2, sizeof(__pyx_k_2), 0, 1, 0, 0}, {&__pyx_kp_s_21, __pyx_k_21, sizeof(__pyx_k_21), 0, 0, 1, 0}, {&__pyx_kp_s_22, __pyx_k_22, sizeof(__pyx_k_22), 0, 0, 1, 0}, {&__pyx_kp_s_24, __pyx_k_24, sizeof(__pyx_k_24), 0, 0, 1, 0}, {&__pyx_kp_s_26, __pyx_k_26, sizeof(__pyx_k_26), 0, 0, 1, 0}, {&__pyx_kp_s_28, __pyx_k_28, sizeof(__pyx_k_28), 0, 0, 1, 0}, {&__pyx_kp_s_30, __pyx_k_30, sizeof(__pyx_k_30), 0, 0, 1, 0}, {&__pyx_kp_s_32, __pyx_k_32, sizeof(__pyx_k_32), 0, 0, 1, 0}, {&__pyx_kp_s_33, __pyx_k_33, sizeof(__pyx_k_33), 0, 0, 1, 0}, {&__pyx_kp_s_36, __pyx_k_36, sizeof(__pyx_k_36), 0, 0, 1, 0}, {&__pyx_kp_s_38, __pyx_k_38, sizeof(__pyx_k_38), 0, 0, 1, 0}, {&__pyx_kp_u_4, __pyx_k_4, sizeof(__pyx_k_4), 0, 1, 0, 0}, {&__pyx_kp_s_43, __pyx_k_43, sizeof(__pyx_k_43), 0, 0, 1, 0}, {&__pyx_kp_s_45, __pyx_k_45, sizeof(__pyx_k_45), 0, 0, 1, 0}, {&__pyx_kp_s_47, __pyx_k_47, sizeof(__pyx_k_47), 0, 0, 1, 0}, {&__pyx_kp_s_49, __pyx_k_49, sizeof(__pyx_k_49), 0, 0, 1, 0}, {&__pyx_kp_s_51, __pyx_k_51, sizeof(__pyx_k_51), 0, 0, 1, 0}, {&__pyx_kp_s_53, __pyx_k_53, sizeof(__pyx_k_53), 0, 0, 1, 0}, {&__pyx_kp_s_55, __pyx_k_55, sizeof(__pyx_k_55), 0, 0, 1, 0}, {&__pyx_kp_s_59, __pyx_k_59, sizeof(__pyx_k_59), 0, 0, 1, 0}, {&__pyx_kp_u_6, __pyx_k_6, sizeof(__pyx_k_6), 0, 1, 0, 0}, {&__pyx_kp_s_61, __pyx_k_61, sizeof(__pyx_k_61), 0, 0, 1, 0}, {&__pyx_kp_s_63, __pyx_k_63, sizeof(__pyx_k_63), 0, 0, 1, 0}, {&__pyx_kp_s_65, __pyx_k_65, sizeof(__pyx_k_65), 0, 0, 1, 0}, {&__pyx_kp_s_67, __pyx_k_67, sizeof(__pyx_k_67), 0, 0, 1, 0}, {&__pyx_kp_s_69, __pyx_k_69, sizeof(__pyx_k_69), 0, 0, 1, 0}, {&__pyx_kp_u_8, __pyx_k_8, sizeof(__pyx_k_8), 0, 1, 0, 0}, {&__pyx_kp_u_9, __pyx_k_9, sizeof(__pyx_k_9), 0, 1, 0, 0}, {&__pyx_n_s__ASCII, __pyx_k__ASCII, sizeof(__pyx_k__ASCII), 0, 0, 1, 1}, {&__pyx_n_s__ArithmeticError, __pyx_k__ArithmeticError, sizeof(__pyx_k__ArithmeticError), 0, 0, 1, 1}, {&__pyx_n_s__Ellipsis, __pyx_k__Ellipsis, sizeof(__pyx_k__Ellipsis), 0, 0, 1, 1}, {&__pyx_n_s__IndexError, __pyx_k__IndexError, sizeof(__pyx_k__IndexError), 0, 0, 1, 1}, {&__pyx_n_s__Lock, __pyx_k__Lock, sizeof(__pyx_k__Lock), 0, 0, 1, 1}, {&__pyx_n_s__MemoryError, __pyx_k__MemoryError, sizeof(__pyx_k__MemoryError), 0, 0, 1, 1}, {&__pyx_n_b__O, __pyx_k__O, sizeof(__pyx_k__O), 0, 0, 0, 1}, {&__pyx_n_s__RuntimeError, __pyx_k__RuntimeError, sizeof(__pyx_k__RuntimeError), 0, 0, 1, 1}, {&__pyx_n_s__TypeError, __pyx_k__TypeError, sizeof(__pyx_k__TypeError), 0, 0, 1, 1}, {&__pyx_n_s__ValueError, __pyx_k__ValueError, sizeof(__pyx_k__ValueError), 0, 0, 1, 1}, {&__pyx_n_s____class__, __pyx_k____class__, sizeof(__pyx_k____class__), 0, 0, 1, 1}, {&__pyx_n_s____import__, __pyx_k____import__, sizeof(__pyx_k____import__), 0, 0, 1, 1}, {&__pyx_n_s____main__, __pyx_k____main__, sizeof(__pyx_k____main__), 0, 0, 1, 1}, {&__pyx_n_s____name__, __pyx_k____name__, sizeof(__pyx_k____name__), 0, 0, 1, 1}, {&__pyx_n_s____pyx_getbuffer, __pyx_k____pyx_getbuffer, sizeof(__pyx_k____pyx_getbuffer), 0, 0, 1, 1}, {&__pyx_n_s____pyx_releasebuffer, __pyx_k____pyx_releasebuffer, sizeof(__pyx_k____pyx_releasebuffer), 0, 0, 1, 1}, {&__pyx_n_s____pyx_vtable__, __pyx_k____pyx_vtable__, sizeof(__pyx_k____pyx_vtable__), 0, 0, 1, 1}, {&__pyx_n_s____test__, __pyx_k____test__, sizeof(__pyx_k____test__), 0, 0, 1, 1}, {&__pyx_n_s____version__, __pyx_k____version__, sizeof(__pyx_k____version__), 0, 0, 1, 1}, {&__pyx_n_s___errors, __pyx_k___errors, sizeof(__pyx_k___errors), 0, 0, 1, 1}, {&__pyx_n_s___qhull32, __pyx_k___qhull32, sizeof(__pyx_k___qhull32), 0, 0, 1, 1}, {&__pyx_n_s___qhull_lock, __pyx_k___qhull_lock, sizeof(__pyx_k___qhull_lock), 0, 0, 1, 1}, {&__pyx_n_s__allocate_buffer, __pyx_k__allocate_buffer, sizeof(__pyx_k__allocate_buffer), 0, 0, 1, 1}, {&__pyx_n_s__array, __pyx_k__array, sizeof(__pyx_k__array), 0, 0, 1, 1}, {&__pyx_n_s__base, __pyx_k__base, sizeof(__pyx_k__base), 0, 0, 1, 1}, {&__pyx_n_b__c, __pyx_k__c, sizeof(__pyx_k__c), 0, 0, 0, 1}, {&__pyx_n_s__c, __pyx_k__c, sizeof(__pyx_k__c), 0, 0, 1, 1}, {&__pyx_n_u__c, __pyx_k__c, sizeof(__pyx_k__c), 0, 1, 0, 1}, {&__pyx_n_s__c_command, __pyx_k__c_command, sizeof(__pyx_k__c_command), 0, 0, 1, 1}, {&__pyx_n_s__c_indices, __pyx_k__c_indices, sizeof(__pyx_k__c_indices), 0, 0, 1, 1}, {&__pyx_n_s__c_points, __pyx_k__c_points, sizeof(__pyx_k__c_points), 0, 0, 1, 1}, {&__pyx_n_s__command, __pyx_k__command, sizeof(__pyx_k__command), 0, 0, 1, 1}, {&__pyx_n_s__decode, __pyx_k__decode, sizeof(__pyx_k__decode), 0, 0, 1, 1}, {&__pyx_n_s__delaunay, __pyx_k__delaunay, sizeof(__pyx_k__delaunay), 0, 0, 1, 1}, {&__pyx_n_s__dimension, __pyx_k__dimension, sizeof(__pyx_k__dimension), 0, 0, 1, 1}, {&__pyx_n_s__dtype, __pyx_k__dtype, sizeof(__pyx_k__dtype), 0, 0, 1, 1}, {&__pyx_n_s__dtype_is_object, __pyx_k__dtype_is_object, sizeof(__pyx_k__dtype_is_object), 0, 0, 1, 1}, {&__pyx_n_s__empty, __pyx_k__empty, sizeof(__pyx_k__empty), 0, 0, 1, 1}, {&__pyx_n_s__encode, __pyx_k__encode, sizeof(__pyx_k__encode), 0, 0, 1, 1}, {&__pyx_n_s__enumerate, __pyx_k__enumerate, sizeof(__pyx_k__enumerate), 0, 0, 1, 1}, {&__pyx_n_s__error, __pyx_k__error, sizeof(__pyx_k__error), 0, 0, 1, 1}, {&__pyx_n_s__extend, __pyx_k__extend, sizeof(__pyx_k__extend), 0, 0, 1, 1}, {&__pyx_n_s__flags, __pyx_k__flags, sizeof(__pyx_k__flags), 0, 0, 1, 1}, {&__pyx_n_s__format, __pyx_k__format, sizeof(__pyx_k__format), 0, 0, 1, 1}, {&__pyx_n_b__fortran, __pyx_k__fortran, sizeof(__pyx_k__fortran), 0, 0, 0, 1}, {&__pyx_n_s__fortran, __pyx_k__fortran, sizeof(__pyx_k__fortran), 0, 0, 1, 1}, {&__pyx_n_s__id, __pyx_k__id, sizeof(__pyx_k__id), 0, 0, 1, 1}, {&__pyx_n_s__indices, __pyx_k__indices, sizeof(__pyx_k__indices), 0, 0, 1, 1}, {&__pyx_n_s__itemsize, __pyx_k__itemsize, sizeof(__pyx_k__itemsize), 0, 0, 1, 1}, {&__pyx_n_s__memview, __pyx_k__memview, sizeof(__pyx_k__memview), 0, 0, 1, 1}, {&__pyx_n_s__mode, __pyx_k__mode, sizeof(__pyx_k__mode), 0, 0, 1, 1}, {&__pyx_n_s__name, __pyx_k__name, sizeof(__pyx_k__name), 0, 0, 1, 1}, {&__pyx_n_s__nbFacets, __pyx_k__nbFacets, sizeof(__pyx_k__nbFacets), 0, 0, 1, 1}, {&__pyx_n_s__ndim, __pyx_k__ndim, sizeof(__pyx_k__ndim), 0, 0, 1, 1}, {&__pyx_n_s__numpy, __pyx_k__numpy, sizeof(__pyx_k__numpy), 0, 0, 1, 1}, {&__pyx_n_s__obj, __pyx_k__obj, sizeof(__pyx_k__obj), 0, 0, 1, 1}, {&__pyx_n_s__pack, __pyx_k__pack, sizeof(__pyx_k__pack), 0, 0, 1, 1}, {&__pyx_n_s__points, __pyx_k__points, sizeof(__pyx_k__points), 0, 0, 1, 1}, {&__pyx_n_s__range, __pyx_k__range, sizeof(__pyx_k__range), 0, 0, 1, 1}, {&__pyx_n_s__ravel, __pyx_k__ravel, sizeof(__pyx_k__ravel), 0, 0, 1, 1}, {&__pyx_n_s__result, __pyx_k__result, sizeof(__pyx_k__result), 0, 0, 1, 1}, {&__pyx_n_s__shape, __pyx_k__shape, sizeof(__pyx_k__shape), 0, 0, 1, 1}, {&__pyx_n_s__size, __pyx_k__size, sizeof(__pyx_k__size), 0, 0, 1, 1}, {&__pyx_n_s__start, __pyx_k__start, sizeof(__pyx_k__start), 0, 0, 1, 1}, {&__pyx_n_s__step, __pyx_k__step, sizeof(__pyx_k__step), 0, 0, 1, 1}, {&__pyx_n_s__stop, __pyx_k__stop, sizeof(__pyx_k__stop), 0, 0, 1, 1}, {&__pyx_n_s__struct, __pyx_k__struct, sizeof(__pyx_k__struct), 0, 0, 1, 1}, {&__pyx_n_s__threading, __pyx_k__threading, sizeof(__pyx_k__threading), 0, 0, 1, 1}, {&__pyx_n_s__uint32, __pyx_k__uint32, sizeof(__pyx_k__uint32), 0, 0, 1, 1}, {&__pyx_n_s__unpack, __pyx_k__unpack, sizeof(__pyx_k__unpack), 0, 0, 1, 1}, {&__pyx_n_s__xrange, __pyx_k__xrange, sizeof(__pyx_k__xrange), 0, 0, 1, 1}, {0, 0, 0, 0, 0, 0, 0} }; static int __Pyx_InitCachedBuiltins(void) { __pyx_builtin_RuntimeError = __Pyx_GetBuiltinName(__pyx_n_s__RuntimeError); if (!__pyx_builtin_RuntimeError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_ArithmeticError = __Pyx_GetBuiltinName(__pyx_n_s__ArithmeticError); if (!__pyx_builtin_ArithmeticError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_MemoryError = __Pyx_GetBuiltinName(__pyx_n_s__MemoryError); if (!__pyx_builtin_MemoryError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s__range); if (!__pyx_builtin_range) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 115; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_ValueError = __Pyx_GetBuiltinName(__pyx_n_s__ValueError); if (!__pyx_builtin_ValueError) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_enumerate = __Pyx_GetBuiltinName(__pyx_n_s__enumerate); if (!__pyx_builtin_enumerate) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 145; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_Ellipsis = __Pyx_GetBuiltinName(__pyx_n_s__Ellipsis); if (!__pyx_builtin_Ellipsis) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 363; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_TypeError = __Pyx_GetBuiltinName(__pyx_n_s__TypeError); if (!__pyx_builtin_TypeError) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 392; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #if PY_MAJOR_VERSION >= 3 __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s__range); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s__xrange); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif __pyx_builtin_id = __Pyx_GetBuiltinName(__pyx_n_s__id); if (!__pyx_builtin_id) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 576; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_IndexError = __Pyx_GetBuiltinName(__pyx_n_s__IndexError); if (!__pyx_builtin_IndexError) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} return 0; __pyx_L1_error:; return -1; } static int __Pyx_InitCachedConstants(void) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__Pyx_InitCachedConstants", 0); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":161 * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources * #_qhull_lock.release() * return numpy.array((), dtype=numpy.uint32) # <<<<<<<<<<<<<< * * # Get facets' indices */ __pyx_k_tuple_1 = PyTuple_Pack(1, ((PyObject *)__pyx_empty_tuple)); if (unlikely(!__pyx_k_tuple_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_1); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_1)); /* "numpy.pxd":215 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) */ __pyx_k_tuple_3 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_2)); if (unlikely(!__pyx_k_tuple_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_3); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_3)); /* "numpy.pxd":219 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< * * info.buf = PyArray_DATA(self) */ __pyx_k_tuple_5 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_4)); if (unlikely(!__pyx_k_tuple_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_5); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_5)); /* "numpy.pxd":257 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" */ __pyx_k_tuple_7 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_6)); if (unlikely(!__pyx_k_tuple_7)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_7); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_7)); /* "numpy.pxd":799 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< * * if ((child.byteorder == c'>' and little_endian) or */ __pyx_k_tuple_10 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_9)); if (unlikely(!__pyx_k_tuple_10)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_10); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_10)); /* "numpy.pxd":803 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< * # One could encode it in the format string and have Cython * # complain instead, BUT: < and > in format strings also imply */ __pyx_k_tuple_11 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_6)); if (unlikely(!__pyx_k_tuple_11)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 803; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_11); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_11)); /* "numpy.pxd":823 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< * * # Until ticket #99 is fixed, use integers to avoid warnings */ __pyx_k_tuple_13 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_12)); if (unlikely(!__pyx_k_tuple_13)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_13); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_13)); /* "View.MemoryView":124 * * if not self.ndim: * raise ValueError("Empty shape tuple for cython.array") # <<<<<<<<<<<<<< * * if self.itemsize <= 0: */ __pyx_k_tuple_15 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_14)); if (unlikely(!__pyx_k_tuple_15)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_15); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_15)); /* "View.MemoryView":127 * * if self.itemsize <= 0: * raise ValueError("itemsize <= 0 for cython.array") # <<<<<<<<<<<<<< * * encode = getattr(format, 'encode', None) */ __pyx_k_tuple_17 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_16)); if (unlikely(!__pyx_k_tuple_17)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 127; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_17); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_17)); /* "View.MemoryView":131 * encode = getattr(format, 'encode', None) * if encode: * format = encode('ASCII') # <<<<<<<<<<<<<< * self._format = format * self.format = self._format */ __pyx_k_tuple_18 = PyTuple_Pack(1, ((PyObject *)__pyx_n_s__ASCII)); if (unlikely(!__pyx_k_tuple_18)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 131; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_18); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_18)); /* "View.MemoryView":141 * free(self._shape) * free(self._strides) * raise MemoryError("unable to allocate shape or strides.") # <<<<<<<<<<<<<< * * */ __pyx_k_tuple_20 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_19)); if (unlikely(!__pyx_k_tuple_20)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 141; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_20); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_20)); /* "View.MemoryView":166 * decode = getattr(mode, 'decode', None) * if decode: * mode = decode('ASCII') # <<<<<<<<<<<<<< * self.mode = mode * */ __pyx_k_tuple_23 = PyTuple_Pack(1, ((PyObject *)__pyx_n_s__ASCII)); if (unlikely(!__pyx_k_tuple_23)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 166; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_23); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_23)); /* "View.MemoryView":174 * self.data = malloc(self.len) * if not self.data: * raise MemoryError("unable to allocate array data.") # <<<<<<<<<<<<<< * * if self.dtype_is_object: */ __pyx_k_tuple_25 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_24)); if (unlikely(!__pyx_k_tuple_25)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 174; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_25); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_25)); /* "View.MemoryView":190 * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") # <<<<<<<<<<<<<< * info.buf = self.data * info.len = self.len */ __pyx_k_tuple_27 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_26)); if (unlikely(!__pyx_k_tuple_27)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_27); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_27)); /* "View.MemoryView":452 * result = struct.unpack(self.view.format, bytesitem) * except struct.error: * raise ValueError("Unable to convert item to object") # <<<<<<<<<<<<<< * else: * if len(self.view.format) == 1: */ __pyx_k_tuple_29 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_28)); if (unlikely(!__pyx_k_tuple_29)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_29); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_29)); /* "View.MemoryView":528 * if self.view.strides == NULL: * * raise ValueError("Buffer view does not expose strides") # <<<<<<<<<<<<<< * * return tuple([self.view.strides[i] for i in xrange(self.view.ndim)]) */ __pyx_k_tuple_31 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_30)); if (unlikely(!__pyx_k_tuple_31)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 528; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_31); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_31)); /* "View.MemoryView":643 * if item is Ellipsis: * if not seen_ellipsis: * result.extend([slice(None)] * (ndim - len(tup) + 1)) # <<<<<<<<<<<<<< * seen_ellipsis = True * else: */ __pyx_k_tuple_34 = PyTuple_Pack(1, Py_None); if (unlikely(!__pyx_k_tuple_34)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_34); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_34)); /* "View.MemoryView":646 * seen_ellipsis = True * else: * result.append(slice(None)) # <<<<<<<<<<<<<< * have_slices = True * else: */ __pyx_k_tuple_35 = PyTuple_Pack(1, Py_None); if (unlikely(!__pyx_k_tuple_35)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 646; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_35); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_35)); /* "View.MemoryView":657 * nslices = ndim - len(result) * if nslices: * result.extend([slice(None)] * nslices) # <<<<<<<<<<<<<< * * return have_slices or nslices, tuple(result) */ __pyx_k_tuple_37 = PyTuple_Pack(1, Py_None); if (unlikely(!__pyx_k_tuple_37)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_37); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_37)); /* "View.MemoryView":665 * for i in range(ndim): * if suboffsets[i] >= 0: * raise ValueError("Indirect dimensions not supported") # <<<<<<<<<<<<<< * * */ __pyx_k_tuple_39 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_38)); if (unlikely(!__pyx_k_tuple_39)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 665; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_39); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_39)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":56 * * _errors = { * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), # <<<<<<<<<<<<<< * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), */ __pyx_k_tuple_48 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_47)); if (unlikely(!__pyx_k_tuple_48)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_48); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_48)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":57 * _errors = { * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), # <<<<<<<<<<<<<< * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), */ __pyx_k_tuple_50 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_49)); if (unlikely(!__pyx_k_tuple_50)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_50); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_50)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":58 * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), # <<<<<<<<<<<<<< * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), * _qhull.qh_ERRqhull: RuntimeError('qhull internal error'), */ __pyx_k_tuple_52 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_51)); if (unlikely(!__pyx_k_tuple_52)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_52); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_52)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":59 * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), # <<<<<<<<<<<<<< * _qhull.qh_ERRqhull: RuntimeError('qhull internal error'), * } */ __pyx_k_tuple_54 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_53)); if (unlikely(!__pyx_k_tuple_54)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_54); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_54)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":60 * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), * _qhull.qh_ERRqhull: RuntimeError('qhull internal error'), # <<<<<<<<<<<<<< * } * */ __pyx_k_tuple_56 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_55)); if (unlikely(!__pyx_k_tuple_56)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 60; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_56); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_56)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":128 * @cython.boundscheck(False) * @cython.wraparound(False) * def delaunay(numpy.ndarray[_qhull.realT, ndim=2, mode='c'] points, command): # <<<<<<<<<<<<<< * """Delaunay triangulation using qhull library. * */ __pyx_k_tuple_57 = PyTuple_Pack(9, ((PyObject *)__pyx_n_s__points), ((PyObject *)__pyx_n_s__command), ((PyObject *)__pyx_n_s__dimension), ((PyObject *)__pyx_n_s__c_points), ((PyObject *)__pyx_n_s__c_command), ((PyObject *)__pyx_n_s__result), ((PyObject *)__pyx_n_s__nbFacets), ((PyObject *)__pyx_n_s__indices), ((PyObject *)__pyx_n_s__c_indices)); if (unlikely(!__pyx_k_tuple_57)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_57); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_57)); __pyx_k_codeobj_58 = (PyObject*)__Pyx_PyCode_New(2, 0, 9, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_k_tuple_57, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_59, __pyx_n_s__delaunay, 128, __pyx_empty_bytes); if (unlikely(!__pyx_k_codeobj_58)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":282 * return self.name * * cdef generic = Enum("") # <<<<<<<<<<<<<< * cdef strided = Enum("") # default * cdef indirect = Enum("") */ __pyx_k_tuple_62 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_61)); if (unlikely(!__pyx_k_tuple_62)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 282; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_62); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_62)); /* "View.MemoryView":283 * * cdef generic = Enum("") * cdef strided = Enum("") # default # <<<<<<<<<<<<<< * cdef indirect = Enum("") * */ __pyx_k_tuple_64 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_63)); if (unlikely(!__pyx_k_tuple_64)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 283; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_64); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_64)); /* "View.MemoryView":284 * cdef generic = Enum("") * cdef strided = Enum("") # default * cdef indirect = Enum("") # <<<<<<<<<<<<<< * * */ __pyx_k_tuple_66 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_65)); if (unlikely(!__pyx_k_tuple_66)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 284; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_66); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_66)); /* "View.MemoryView":287 * * * cdef contiguous = Enum("") # <<<<<<<<<<<<<< * cdef indirect_contiguous = Enum("") * */ __pyx_k_tuple_68 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_67)); if (unlikely(!__pyx_k_tuple_68)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 287; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_68); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_68)); /* "View.MemoryView":288 * * cdef contiguous = Enum("") * cdef indirect_contiguous = Enum("") # <<<<<<<<<<<<<< * * */ __pyx_k_tuple_70 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_69)); if (unlikely(!__pyx_k_tuple_70)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 288; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_70); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_70)); __Pyx_RefNannyFinishContext(); return 0; __pyx_L1_error:; __Pyx_RefNannyFinishContext(); return -1; } static int __Pyx_InitGlobals(void) { if (__Pyx_InitStrings(__pyx_string_tab) < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_0 = PyInt_FromLong(0); if (unlikely(!__pyx_int_0)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_1 = PyInt_FromLong(1); if (unlikely(!__pyx_int_1)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_neg_1 = PyInt_FromLong(-1); if (unlikely(!__pyx_int_neg_1)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_15 = PyInt_FromLong(15); if (unlikely(!__pyx_int_15)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; return 0; __pyx_L1_error:; return -1; } #if PY_MAJOR_VERSION < 3 PyMODINIT_FUNC init_qhull32(void); /*proto*/ PyMODINIT_FUNC init_qhull32(void) #else PyMODINIT_FUNC PyInit__qhull32(void); /*proto*/ PyMODINIT_FUNC PyInit__qhull32(void) #endif { PyObject *__pyx_t_1 = NULL; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannyDeclarations #if CYTHON_REFNANNY __Pyx_RefNanny = __Pyx_RefNannyImportAPI("refnanny"); if (!__Pyx_RefNanny) { PyErr_Clear(); __Pyx_RefNanny = __Pyx_RefNannyImportAPI("Cython.Runtime.refnanny"); if (!__Pyx_RefNanny) Py_FatalError("failed to import 'refnanny' module"); } #endif __Pyx_RefNannySetupContext("PyMODINIT_FUNC PyInit__qhull32(void)", 0); if ( __Pyx_check_binary_version() < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_empty_tuple = PyTuple_New(0); if (unlikely(!__pyx_empty_tuple)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_empty_bytes = PyBytes_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_bytes)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #ifdef __Pyx_CyFunction_USED if (__Pyx_CyFunction_init() < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif #ifdef __Pyx_FusedFunction_USED if (__pyx_FusedFunction_init() < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif #ifdef __Pyx_Generator_USED if (__pyx_Generator_init() < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif /*--- Library function declarations ---*/ /*--- Threads initialization code ---*/ #if defined(__PYX_FORCE_INIT_THREADS) && __PYX_FORCE_INIT_THREADS #ifdef WITH_THREAD /* Python build with threading support? */ PyEval_InitThreads(); #endif #endif /*--- Module creation code ---*/ #if PY_MAJOR_VERSION < 3 __pyx_m = Py_InitModule4(__Pyx_NAMESTR("_qhull32"), __pyx_methods, 0, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m); #else __pyx_m = PyModule_Create(&__pyx_moduledef); #endif if (unlikely(!__pyx_m)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_d = PyModule_GetDict(__pyx_m); if (unlikely(!__pyx_d)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} Py_INCREF(__pyx_d); #if PY_MAJOR_VERSION >= 3 { PyObject *modules = PyImport_GetModuleDict(); if (unlikely(!modules)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!PyDict_GetItemString(modules, "_qhull32")) { if (unlikely(PyDict_SetItemString(modules, "_qhull32", __pyx_m) < 0)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } } #endif __pyx_b = PyImport_AddModule(__Pyx_NAMESTR(__Pyx_BUILTIN_MODULE_NAME)); if (unlikely(!__pyx_b)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #if CYTHON_COMPILING_IN_PYPY Py_INCREF(__pyx_b); #endif if (__Pyx_SetAttrString(__pyx_m, "__builtins__", __pyx_b) < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; /*--- Initialize various global constants etc. ---*/ if (unlikely(__Pyx_InitGlobals() < 0)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #if PY_MAJOR_VERSION < 3 && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT) if (__Pyx_init_sys_getdefaultencoding_params() < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif if (__pyx_module_is_main__qhull32) { if (__Pyx_SetAttrString(__pyx_m, "__name__", __pyx_n_s____main__) < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; } /*--- Builtin init code ---*/ if (unlikely(__Pyx_InitCachedBuiltins() < 0)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /*--- Constants init code ---*/ if (unlikely(__Pyx_InitCachedConstants() < 0)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /*--- Global init code ---*/ generic = Py_None; Py_INCREF(Py_None); strided = Py_None; Py_INCREF(Py_None); indirect = Py_None; Py_INCREF(Py_None); contiguous = Py_None; Py_INCREF(Py_None); indirect_contiguous = Py_None; Py_INCREF(Py_None); /*--- Variable export code ---*/ /*--- Function export code ---*/ /*--- Type init code ---*/ __pyx_vtabptr_memoryview = &__pyx_vtable_memoryview; __pyx_vtable_memoryview.get_item_pointer = (char *(*)(struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_get_item_pointer; __pyx_vtable_memoryview.is_slice = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_is_slice; __pyx_vtable_memoryview.setitem_slice_assignment = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *, PyObject *))__pyx_memoryview_setitem_slice_assignment; __pyx_vtable_memoryview.setitem_slice_assign_scalar = (PyObject *(*)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_setitem_slice_assign_scalar; __pyx_vtable_memoryview.setitem_indexed = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *, PyObject *))__pyx_memoryview_setitem_indexed; __pyx_vtable_memoryview.convert_item_to_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *))__pyx_memoryview_convert_item_to_object; __pyx_vtable_memoryview.assign_item_from_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *, PyObject *))__pyx_memoryview_assign_item_from_object; if (PyType_Ready(&__pyx_type___pyx_memoryview) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 308; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__Pyx_SetVtable(__pyx_type___pyx_memoryview.tp_dict, __pyx_vtabptr_memoryview) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 308; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_memoryview_type = &__pyx_type___pyx_memoryview; if (PyType_Ready(&__pyx_type___pyx_array) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 96; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_array_type = &__pyx_type___pyx_array; if (PyType_Ready(&__pyx_type___pyx_MemviewEnum) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 275; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_MemviewEnum_type = &__pyx_type___pyx_MemviewEnum; __pyx_vtabptr__memoryviewslice = &__pyx_vtable__memoryviewslice; __pyx_vtable__memoryviewslice.__pyx_base = *__pyx_vtabptr_memoryview; __pyx_vtable__memoryviewslice.__pyx_base.convert_item_to_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *))__pyx_memoryviewslice_convert_item_to_object; __pyx_vtable__memoryviewslice.__pyx_base.assign_item_from_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *, PyObject *))__pyx_memoryviewslice_assign_item_from_object; __pyx_type___pyx_memoryviewslice.tp_base = __pyx_memoryview_type; if (PyType_Ready(&__pyx_type___pyx_memoryviewslice) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 927; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__Pyx_SetVtable(__pyx_type___pyx_memoryviewslice.tp_dict, __pyx_vtabptr__memoryviewslice) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 927; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_memoryviewslice_type = &__pyx_type___pyx_memoryviewslice; /*--- Type import code ---*/ __pyx_ptype_7cpython_4type_type = __Pyx_ImportType(__Pyx_BUILTIN_MODULE_NAME, "type", #if CYTHON_COMPILING_IN_PYPY sizeof(PyTypeObject), #else sizeof(PyHeapTypeObject), #endif 0); if (unlikely(!__pyx_ptype_7cpython_4type_type)) {__pyx_filename = __pyx_f[4]; __pyx_lineno = 9; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_dtype = __Pyx_ImportType("numpy", "dtype", sizeof(PyArray_Descr), 0); if (unlikely(!__pyx_ptype_5numpy_dtype)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 155; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_flatiter = __Pyx_ImportType("numpy", "flatiter", sizeof(PyArrayIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_flatiter)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_broadcast = __Pyx_ImportType("numpy", "broadcast", sizeof(PyArrayMultiIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_broadcast)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 169; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_ndarray = __Pyx_ImportType("numpy", "ndarray", sizeof(PyArrayObject), 0); if (unlikely(!__pyx_ptype_5numpy_ndarray)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_ufunc = __Pyx_ImportType("numpy", "ufunc", sizeof(PyUFuncObject), 0); if (unlikely(!__pyx_ptype_5numpy_ufunc)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 861; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /*--- Variable import code ---*/ /*--- Function import code ---*/ /*--- Execution code ---*/ /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":31 * * import cython * import numpy # <<<<<<<<<<<<<< * cimport numpy * import threading */ __pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__numpy), 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 31; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_d, __pyx_n_s__numpy, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 31; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":33 * import numpy * cimport numpy * import threading # <<<<<<<<<<<<<< * cimport qhull as _qhull * */ __pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__threading), 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 33; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_d, __pyx_n_s__threading, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 33; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":46 * void import_umath() * * if FALSE: # <<<<<<<<<<<<<< * import_array() * import_umath() */ __pyx_t_2 = (0 != 0); if (__pyx_t_2) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":47 * * if FALSE: * import_array() # <<<<<<<<<<<<<< * import_umath() * */ import_array(); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":48 * if FALSE: * import_array() * import_umath() # <<<<<<<<<<<<<< * * */ import_umath(); goto __pyx_L2; } __pyx_L2:; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":52 * * # Version string * __version__ = _qhull.qh_version # <<<<<<<<<<<<<< * * */ __pyx_t_1 = __Pyx_PyBytes_FromString(qh_version); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); if (PyDict_SetItem(__pyx_d, __pyx_n_s____version__, ((PyObject *)__pyx_t_1)) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":55 * * * _errors = { # <<<<<<<<<<<<<< * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), */ __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":56 * * _errors = { * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), # <<<<<<<<<<<<<< * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), */ __pyx_t_3 = PyInt_FromLong(qh_ERRinput); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_48), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); if (PyDict_SetItem(__pyx_t_1, __pyx_t_3, __pyx_t_4) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":57 * _errors = { * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), # <<<<<<<<<<<<<< * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), */ __pyx_t_4 = PyInt_FromLong(qh_ERRsingular); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_3 = PyObject_Call(__pyx_builtin_ArithmeticError, ((PyObject *)__pyx_k_tuple_50), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (PyDict_SetItem(__pyx_t_1, __pyx_t_4, __pyx_t_3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":58 * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), # <<<<<<<<<<<<<< * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), * _qhull.qh_ERRqhull: RuntimeError('qhull internal error'), */ __pyx_t_3 = PyInt_FromLong(qh_ERRprec); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyObject_Call(__pyx_builtin_ArithmeticError, ((PyObject *)__pyx_k_tuple_52), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); if (PyDict_SetItem(__pyx_t_1, __pyx_t_3, __pyx_t_4) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":59 * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), # <<<<<<<<<<<<<< * _qhull.qh_ERRqhull: RuntimeError('qhull internal error'), * } */ __pyx_t_4 = PyInt_FromLong(qh_ERRmem); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_3 = PyObject_Call(__pyx_builtin_MemoryError, ((PyObject *)__pyx_k_tuple_54), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (PyDict_SetItem(__pyx_t_1, __pyx_t_4, __pyx_t_3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":60 * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), * _qhull.qh_ERRqhull: RuntimeError('qhull internal error'), # <<<<<<<<<<<<<< * } * */ __pyx_t_3 = PyInt_FromLong(qh_ERRqhull); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 60; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_56), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 60; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); if (PyDict_SetItem(__pyx_t_1, __pyx_t_3, __pyx_t_4) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (PyDict_SetItem(__pyx_d, __pyx_n_s___errors, ((PyObject *)__pyx_t_1)) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":124 * * # Avoid concurrent use of the qhull library * _qhull_lock = threading.Lock() # <<<<<<<<<<<<<< * * @cython.boundscheck(False) */ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__threading); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__Lock); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (PyDict_SetItem(__pyx_d, __pyx_n_s___qhull_lock, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":128 * @cython.boundscheck(False) * @cython.wraparound(False) * def delaunay(numpy.ndarray[_qhull.realT, ndim=2, mode='c'] points, command): # <<<<<<<<<<<<<< * """Delaunay triangulation using qhull library. * */ __pyx_t_1 = PyCFunction_NewEx(&__pyx_mdef_8_qhull32_1delaunay, NULL, __pyx_n_s___qhull32); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_d, __pyx_n_s__delaunay, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "_qhull32.pyx":1 * # Proxy to qhull wrapper for 32-bits # <<<<<<<<<<<<<< * include 'qhull.pxi' */ __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); if (PyDict_SetItem(__pyx_d, __pyx_n_s____test__, ((PyObject *)__pyx_t_1)) < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; /* "View.MemoryView":207 * info.obj = self * * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< * * def __dealloc__(array self): */ __pyx_t_1 = __pyx_capsule_create(((void *)(&__pyx_array_getbuffer)), __pyx_k_60); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 207; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_array_type->tp_dict, __pyx_n_s____pyx_getbuffer, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 207; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; PyType_Modified(__pyx_array_type); /* "View.MemoryView":282 * return self.name * * cdef generic = Enum("") # <<<<<<<<<<<<<< * cdef strided = Enum("") # default * cdef indirect = Enum("") */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_62), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 282; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(generic); __Pyx_DECREF_SET(generic, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":283 * * cdef generic = Enum("") * cdef strided = Enum("") # default # <<<<<<<<<<<<<< * cdef indirect = Enum("") * */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_64), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 283; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(strided); __Pyx_DECREF_SET(strided, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":284 * cdef generic = Enum("") * cdef strided = Enum("") # default * cdef indirect = Enum("") # <<<<<<<<<<<<<< * * */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_66), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 284; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(indirect); __Pyx_DECREF_SET(indirect, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":287 * * * cdef contiguous = Enum("") # <<<<<<<<<<<<<< * cdef indirect_contiguous = Enum("") * */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_68), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 287; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(contiguous); __Pyx_DECREF_SET(contiguous, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":288 * * cdef contiguous = Enum("") * cdef indirect_contiguous = Enum("") # <<<<<<<<<<<<<< * * */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_70), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 288; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(indirect_contiguous); __Pyx_DECREF_SET(indirect_contiguous, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":503 * info.obj = self * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< * * */ __pyx_t_1 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), __pyx_k_60); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 503; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_memoryview_type->tp_dict, __pyx_n_s____pyx_getbuffer, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 503; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; PyType_Modified(__pyx_memoryview_type); /* "View.MemoryView":958 * return self.from_object * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< * * */ __pyx_t_1 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), __pyx_k_60); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 958; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_memoryviewslice_type->tp_dict, __pyx_n_s____pyx_getbuffer, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 958; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; PyType_Modified(__pyx_memoryviewslice_type); /* "View.MemoryView":1365 * * @cname('__pyx_memoryview__slice_assign_scalar') * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, * size_t itemsize, void *item) nogil: */ goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); if (__pyx_m) { __Pyx_AddTraceback("init _qhull32", __pyx_clineno, __pyx_lineno, __pyx_filename); Py_DECREF(__pyx_m); __pyx_m = 0; } else if (!PyErr_Occurred()) { PyErr_SetString(PyExc_ImportError, "init _qhull32"); } __pyx_L0:; __Pyx_RefNannyFinishContext(); #if PY_MAJOR_VERSION < 3 return; #else return __pyx_m; #endif } /* Runtime support code */ #if CYTHON_REFNANNY static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) { PyObject *m = NULL, *p = NULL; void *r = NULL; m = PyImport_ImportModule((char *)modname); if (!m) goto end; p = PyObject_GetAttrString(m, (char *)"RefNannyAPI"); if (!p) goto end; r = PyLong_AsVoidPtr(p); end: Py_XDECREF(p); Py_XDECREF(m); return (__Pyx_RefNannyAPIStruct *)r; } #endif /* CYTHON_REFNANNY */ static PyObject *__Pyx_GetBuiltinName(PyObject *name) { PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name); if (unlikely(!result)) { PyErr_Format(PyExc_NameError, #if PY_MAJOR_VERSION >= 3 "name '%U' is not defined", name); #else "name '%s' is not defined", PyString_AS_STRING(name)); #endif } return result; } static void __Pyx_RaiseArgtupleInvalid( const char* func_name, int exact, Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found) { Py_ssize_t num_expected; const char *more_or_less; if (num_found < num_min) { num_expected = num_min; more_or_less = "at least"; } else { num_expected = num_max; more_or_less = "at most"; } if (exact) { more_or_less = "exactly"; } PyErr_Format(PyExc_TypeError, "%s() takes %s %" CYTHON_FORMAT_SSIZE_T "d positional argument%s (%" CYTHON_FORMAT_SSIZE_T "d given)", func_name, more_or_less, num_expected, (num_expected == 1) ? "" : "s", num_found); } static void __Pyx_RaiseDoubleKeywordsError( const char* func_name, PyObject* kw_name) { PyErr_Format(PyExc_TypeError, #if PY_MAJOR_VERSION >= 3 "%s() got multiple values for keyword argument '%U'", func_name, kw_name); #else "%s() got multiple values for keyword argument '%s'", func_name, PyString_AsString(kw_name)); #endif } static int __Pyx_ParseOptionalKeywords( PyObject *kwds, PyObject **argnames[], PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, const char* function_name) { PyObject *key = 0, *value = 0; Py_ssize_t pos = 0; PyObject*** name; PyObject*** first_kw_arg = argnames + num_pos_args; while (PyDict_Next(kwds, &pos, &key, &value)) { name = first_kw_arg; while (*name && (**name != key)) name++; if (*name) { values[name-argnames] = value; continue; } name = first_kw_arg; #if PY_MAJOR_VERSION < 3 if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) { while (*name) { if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) && _PyString_Eq(**name, key)) { values[name-argnames] = value; break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { if ((**argname == key) || ( (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) && _PyString_Eq(**argname, key))) { goto arg_passed_twice; } argname++; } } } else #endif if (likely(PyUnicode_Check(key))) { while (*name) { int cmp = (**name == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**name, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) { values[name-argnames] = value; break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { int cmp = (**argname == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**argname, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) goto arg_passed_twice; argname++; } } } else goto invalid_keyword_type; if (kwds2) { if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; } else { goto invalid_keyword; } } return 0; arg_passed_twice: __Pyx_RaiseDoubleKeywordsError(function_name, key); goto bad; invalid_keyword_type: PyErr_Format(PyExc_TypeError, "%s() keywords must be strings", function_name); goto bad; invalid_keyword: PyErr_Format(PyExc_TypeError, #if PY_MAJOR_VERSION < 3 "%s() got an unexpected keyword argument '%s'", function_name, PyString_AsString(key)); #else "%s() got an unexpected keyword argument '%U'", function_name, key); #endif bad: return -1; } static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed, const char *name, int exact) { if (!type) { PyErr_Format(PyExc_SystemError, "Missing type object"); return 0; } if (none_allowed && obj == Py_None) return 1; else if (exact) { if (Py_TYPE(obj) == type) return 1; } else { if (PyObject_TypeCheck(obj, type)) return 1; } PyErr_Format(PyExc_TypeError, "Argument '%s' has incorrect type (expected %s, got %s)", name, type->tp_name, Py_TYPE(obj)->tp_name); return 0; } static CYTHON_INLINE int __Pyx_IsLittleEndian(void) { unsigned int n = 1; return *(unsigned char*)(&n) != 0; } static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, __Pyx_BufFmt_StackElem* stack, __Pyx_TypeInfo* type) { stack[0].field = &ctx->root; stack[0].parent_offset = 0; ctx->root.type = type; ctx->root.name = "buffer dtype"; ctx->root.offset = 0; ctx->head = stack; ctx->head->field = &ctx->root; ctx->fmt_offset = 0; ctx->head->parent_offset = 0; ctx->new_packmode = '@'; ctx->enc_packmode = '@'; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->is_complex = 0; ctx->is_valid_array = 0; ctx->struct_alignment = 0; while (type->typegroup == 'S') { ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = 0; type = type->fields->type; } } static int __Pyx_BufFmt_ParseNumber(const char** ts) { int count; const char* t = *ts; if (*t < '0' || *t > '9') { return -1; } else { count = *t++ - '0'; while (*t >= '0' && *t < '9') { count *= 10; count += *t++ - '0'; } } *ts = t; return count; } static int __Pyx_BufFmt_ExpectNumber(const char **ts) { int number = __Pyx_BufFmt_ParseNumber(ts); if (number == -1) /* First char was not a digit */ PyErr_Format(PyExc_ValueError,\ "Does not understand character buffer dtype format string ('%c')", **ts); return number; } static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { PyErr_Format(PyExc_ValueError, "Unexpected format string character: '%c'", ch); } static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { switch (ch) { case 'c': return "'char'"; case 'b': return "'signed char'"; case 'B': return "'unsigned char'"; case 'h': return "'short'"; case 'H': return "'unsigned short'"; case 'i': return "'int'"; case 'I': return "'unsigned int'"; case 'l': return "'long'"; case 'L': return "'unsigned long'"; case 'q': return "'long long'"; case 'Q': return "'unsigned long long'"; case 'f': return (is_complex ? "'complex float'" : "'float'"); case 'd': return (is_complex ? "'complex double'" : "'double'"); case 'g': return (is_complex ? "'complex long double'" : "'long double'"); case 'T': return "a struct"; case 'O': return "Python object"; case 'P': return "a pointer"; case 's': case 'p': return "a string"; case 0: return "end"; default: return "unparseable format string"; } } static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return 2; case 'i': case 'I': case 'l': case 'L': return 4; case 'q': case 'Q': return 8; case 'f': return (is_complex ? 8 : 4); case 'd': return (is_complex ? 16 : 8); case 'g': { PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); return 0; } case 'O': case 'P': return sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { switch (ch) { case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(short); case 'i': case 'I': return sizeof(int); case 'l': case 'L': return sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(float) * (is_complex ? 2 : 1); case 'd': return sizeof(double) * (is_complex ? 2 : 1); case 'g': return sizeof(long double) * (is_complex ? 2 : 1); case 'O': case 'P': return sizeof(void*); default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } typedef struct { char c; short x; } __Pyx_st_short; typedef struct { char c; int x; } __Pyx_st_int; typedef struct { char c; long x; } __Pyx_st_long; typedef struct { char c; float x; } __Pyx_st_float; typedef struct { char c; double x; } __Pyx_st_double; typedef struct { char c; long double x; } __Pyx_st_longdouble; typedef struct { char c; void *x; } __Pyx_st_void_p; #ifdef HAVE_LONG_LONG typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_st_float) - sizeof(float); case 'd': return sizeof(__Pyx_st_double) - sizeof(double); case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } /* These are for computing the padding at the end of the struct to align on the first member of the struct. This will probably the same as above, but we don't have any guarantees. */ typedef struct { short x; char c; } __Pyx_pad_short; typedef struct { int x; char c; } __Pyx_pad_int; typedef struct { long x; char c; } __Pyx_pad_long; typedef struct { float x; char c; } __Pyx_pad_float; typedef struct { double x; char c; } __Pyx_pad_double; typedef struct { long double x; char c; } __Pyx_pad_longdouble; typedef struct { void *x; char c; } __Pyx_pad_void_p; #ifdef HAVE_LONG_LONG typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { switch (ch) { case 'c': return 'H'; case 'b': case 'h': case 'i': case 'l': case 'q': case 's': case 'p': return 'I'; case 'B': case 'H': case 'I': case 'L': case 'Q': return 'U'; case 'f': case 'd': case 'g': return (is_complex ? 'C' : 'R'); case 'O': return 'O'; case 'P': return 'P'; default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { if (ctx->head == NULL || ctx->head->field == &ctx->root) { const char* expected; const char* quote; if (ctx->head == NULL) { expected = "end"; quote = ""; } else { expected = ctx->head->field->type->name; quote = "'"; } PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected %s%s%s but got %s", quote, expected, quote, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); } else { __Pyx_StructField* field = ctx->head->field; __Pyx_StructField* parent = (ctx->head - 1)->field; PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), parent->type->name, field->name); } } static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { char group; size_t size, offset, arraysize = 1; if (ctx->enc_type == 0) return 0; if (ctx->head->field->type->arraysize[0]) { int i, ndim = 0; if (ctx->enc_type == 's' || ctx->enc_type == 'p') { ctx->is_valid_array = ctx->head->field->type->ndim == 1; ndim = 1; if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %zu", ctx->head->field->type->arraysize[0], ctx->enc_count); return -1; } } if (!ctx->is_valid_array) { PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", ctx->head->field->type->ndim, ndim); return -1; } for (i = 0; i < ctx->head->field->type->ndim; i++) { arraysize *= ctx->head->field->type->arraysize[i]; } ctx->is_valid_array = 0; ctx->enc_count = 1; } group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); do { __Pyx_StructField* field = ctx->head->field; __Pyx_TypeInfo* type = field->type; if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); } else { size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); } if (ctx->enc_packmode == '@') { size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); size_t align_mod_offset; if (align_at == 0) return -1; align_mod_offset = ctx->fmt_offset % align_at; if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; if (ctx->struct_alignment == 0) ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, ctx->is_complex); } if (type->size != size || type->typegroup != group) { if (type->typegroup == 'C' && type->fields != NULL) { size_t parent_offset = ctx->head->parent_offset + field->offset; ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = parent_offset; continue; } if ((type->typegroup == 'H' || group == 'H') && type->size == size) { } else { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } } offset = ctx->head->parent_offset + field->offset; if (ctx->fmt_offset != offset) { PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); return -1; } ctx->fmt_offset += size; if (arraysize) ctx->fmt_offset += (arraysize - 1) * size; --ctx->enc_count; /* Consume from buffer string */ while (1) { if (field == &ctx->root) { ctx->head = NULL; if (ctx->enc_count != 0) { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } break; /* breaks both loops as ctx->enc_count == 0 */ } ctx->head->field = ++field; if (field->type == NULL) { --ctx->head; field = ctx->head->field; continue; } else if (field->type->typegroup == 'S') { size_t parent_offset = ctx->head->parent_offset + field->offset; if (field->type->fields->type == NULL) continue; /* empty struct */ field = field->type->fields; ++ctx->head; ctx->head->field = field; ctx->head->parent_offset = parent_offset; break; } else { break; } } } while (ctx->enc_count); ctx->enc_type = 0; ctx->is_complex = 0; return 0; } static CYTHON_INLINE PyObject * __pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) { const char *ts = *tsp; int i = 0, number; int ndim = ctx->head->field->type->ndim; ; ++ts; if (ctx->new_count != 1) { PyErr_SetString(PyExc_ValueError, "Cannot handle repeated arrays in format string"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; while (*ts && *ts != ')') { if (isspace(*ts)) continue; number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) return PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %d", ctx->head->field->type->arraysize[i], number); if (*ts != ',' && *ts != ')') return PyErr_Format(PyExc_ValueError, "Expected a comma in format string, got '%c'", *ts); if (*ts == ',') ts++; i++; } if (i != ndim) return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", ctx->head->field->type->ndim, i); if (!*ts) { PyErr_SetString(PyExc_ValueError, "Unexpected end of format string, expected ')'"); return NULL; } ctx->is_valid_array = 1; ctx->new_count = 1; *tsp = ++ts; return Py_None; } static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { int got_Z = 0; while (1) { switch(*ts) { case 0: if (ctx->enc_type != 0 && ctx->head == NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; if (ctx->head != NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } return ts; case ' ': case 10: case 13: ++ts; break; case '<': if (!__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '>': case '!': if (__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '=': case '@': case '^': ctx->new_packmode = *ts++; break; case 'T': /* substruct */ { const char* ts_after_sub; size_t i, struct_count = ctx->new_count; size_t struct_alignment = ctx->struct_alignment; ctx->new_count = 1; ++ts; if (*ts != '{') { PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; /* Erase processed last struct element */ ctx->enc_count = 0; ctx->struct_alignment = 0; ++ts; ts_after_sub = ts; for (i = 0; i != struct_count; ++i) { ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); if (!ts_after_sub) return NULL; } ts = ts_after_sub; if (struct_alignment) ctx->struct_alignment = struct_alignment; } break; case '}': /* end of substruct; either repeat or move on */ { size_t alignment = ctx->struct_alignment; ++ts; if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; /* Erase processed last struct element */ if (alignment && ctx->fmt_offset % alignment) { ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); } } return ts; case 'x': if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->fmt_offset += ctx->new_count; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->enc_packmode = ctx->new_packmode; ++ts; break; case 'Z': got_Z = 1; ++ts; if (*ts != 'f' && *ts != 'd' && *ts != 'g') { __Pyx_BufFmt_RaiseUnexpectedChar('Z'); return NULL; } /* fall through */ case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': case 'l': case 'L': case 'q': case 'Q': case 'f': case 'd': case 'g': case 'O': case 's': case 'p': if (ctx->enc_type == *ts && got_Z == ctx->is_complex && ctx->enc_packmode == ctx->new_packmode) { ctx->enc_count += ctx->new_count; } else { if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_count = ctx->new_count; ctx->enc_packmode = ctx->new_packmode; ctx->enc_type = *ts; ctx->is_complex = got_Z; } ++ts; ctx->new_count = 1; got_Z = 0; break; case ':': ++ts; while(*ts != ':') ++ts; ++ts; break; case '(': if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL; break; default: { int number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; ctx->new_count = (size_t)number; } } } } static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) { buf->buf = NULL; buf->obj = NULL; buf->strides = __Pyx_zeros; buf->shape = __Pyx_zeros; buf->suboffsets = __Pyx_minusones; } static CYTHON_INLINE int __Pyx_GetBufferAndValidate( Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack) { if (obj == Py_None || obj == NULL) { __Pyx_ZeroBuffer(buf); return 0; } buf->buf = NULL; if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail; if (buf->ndim != nd) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", nd, buf->ndim); goto fail; } if (!cast) { __Pyx_BufFmt_Context ctx; __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned)buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones; return 0; fail:; __Pyx_ZeroBuffer(buf); return -1; } static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) { if (info->buf == NULL) return; if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL; __Pyx_ReleaseBuffer(info); } static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) { PyObject *result; #if CYTHON_COMPILING_IN_CPYTHON result = PyDict_GetItem(__pyx_d, name); if (result) { Py_INCREF(result); } else { #else result = PyObject_GetItem(__pyx_d, name); if (!result) { PyErr_Clear(); #endif result = __Pyx_GetBuiltinName(name); } return result; } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { PyObject *r; if (!j) return NULL; r = PyObject_GetItem(o, j); Py_DECREF(j); return r; } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyList_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyList_GET_SIZE(o)))) { PyObject *r = PyList_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, int wraparound, int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (is_list || PyList_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) { PyObject *r = PyList_GET_ITEM(o, n); Py_INCREF(r); return r; } } else if (PyTuple_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, n); Py_INCREF(r); return r; } } else { PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; if (likely(m && m->sq_item)) { if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { Py_ssize_t l = m->sq_length(o); if (likely(l >= 0)) { i += l; } else { if (PyErr_ExceptionMatches(PyExc_OverflowError)) PyErr_Clear(); else return NULL; } } return m->sq_item(o, i); } } #else if (is_list || PySequence_Check(o)) { return PySequence_GetItem(o, i); } #endif return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); } static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) { #if CYTHON_COMPILING_IN_CPYTHON PyObject *tmp_type, *tmp_value, *tmp_tb; PyThreadState *tstate = PyThreadState_GET(); tmp_type = tstate->curexc_type; tmp_value = tstate->curexc_value; tmp_tb = tstate->curexc_traceback; tstate->curexc_type = type; tstate->curexc_value = value; tstate->curexc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); #else PyErr_Restore(type, value, tb); #endif } static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) { #if CYTHON_COMPILING_IN_CPYTHON PyThreadState *tstate = PyThreadState_GET(); *type = tstate->curexc_type; *value = tstate->curexc_value; *tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; #else PyErr_Fetch(type, value, tb); #endif } #if PY_MAJOR_VERSION < 3 static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, CYTHON_UNUSED PyObject *cause) { Py_XINCREF(type); if (!value || value == Py_None) value = NULL; else Py_INCREF(value); if (!tb || tb == Py_None) tb = NULL; else { Py_INCREF(tb); if (!PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto raise_error; } } #if PY_VERSION_HEX < 0x02050000 if (PyClass_Check(type)) { #else if (PyType_Check(type)) { #endif #if CYTHON_COMPILING_IN_PYPY if (!value) { Py_INCREF(Py_None); value = Py_None; } #endif PyErr_NormalizeException(&type, &value, &tb); } else { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto raise_error; } value = type; #if PY_VERSION_HEX < 0x02050000 if (PyInstance_Check(type)) { type = (PyObject*) ((PyInstanceObject*)type)->in_class; Py_INCREF(type); } else { type = 0; PyErr_SetString(PyExc_TypeError, "raise: exception must be an old-style class or instance"); goto raise_error; } #else type = (PyObject*) Py_TYPE(type); Py_INCREF(type); if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto raise_error; } #endif } __Pyx_ErrRestore(type, value, tb); return; raise_error: Py_XDECREF(value); Py_XDECREF(type); Py_XDECREF(tb); return; } #else /* Python 3+ */ static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { PyObject* owned_instance = NULL; if (tb == Py_None) { tb = 0; } else if (tb && !PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto bad; } if (value == Py_None) value = 0; if (PyExceptionInstance_Check(type)) { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto bad; } value = type; type = (PyObject*) Py_TYPE(value); } else if (PyExceptionClass_Check(type)) { PyObject *args; if (!value) args = PyTuple_New(0); else if (PyTuple_Check(value)) { Py_INCREF(value); args = value; } else args = PyTuple_Pack(1, value); if (!args) goto bad; owned_instance = PyEval_CallObject(type, args); Py_DECREF(args); if (!owned_instance) goto bad; value = owned_instance; if (!PyExceptionInstance_Check(value)) { PyErr_Format(PyExc_TypeError, "calling %R should have returned an instance of " "BaseException, not %R", type, Py_TYPE(value)); goto bad; } } else { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto bad; } #if PY_VERSION_HEX >= 0x03030000 if (cause) { #else if (cause && cause != Py_None) { #endif PyObject *fixed_cause; if (cause == Py_None) { fixed_cause = NULL; } else if (PyExceptionClass_Check(cause)) { fixed_cause = PyObject_CallObject(cause, NULL); if (fixed_cause == NULL) goto bad; } else if (PyExceptionInstance_Check(cause)) { fixed_cause = cause; Py_INCREF(fixed_cause); } else { PyErr_SetString(PyExc_TypeError, "exception causes must derive from " "BaseException"); goto bad; } PyException_SetCause(value, fixed_cause); } PyErr_SetObject(type, value); if (tb) { PyThreadState *tstate = PyThreadState_GET(); PyObject* tmp_tb = tstate->curexc_traceback; if (tb != tmp_tb) { Py_INCREF(tb); tstate->curexc_traceback = tb; Py_XDECREF(tmp_tb); } } bad: Py_XDECREF(owned_instance); return; } #endif static int __Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference) { __Pyx_RefNannyDeclarations int i, retval=-1; Py_buffer *buf = &memview->view; __Pyx_RefNannySetupContext("init_memviewslice", 0); if (!buf) { PyErr_SetString(PyExc_ValueError, "buf is NULL."); goto fail; } else if (memviewslice->memview || memviewslice->data) { PyErr_SetString(PyExc_ValueError, "memviewslice is already initialized!"); goto fail; } if (buf->strides) { for (i = 0; i < ndim; i++) { memviewslice->strides[i] = buf->strides[i]; } } else { Py_ssize_t stride = buf->itemsize; for (i = ndim - 1; i >= 0; i--) { memviewslice->strides[i] = stride; stride *= buf->shape[i]; } } for (i = 0; i < ndim; i++) { memviewslice->shape[i] = buf->shape[i]; if (buf->suboffsets) { memviewslice->suboffsets[i] = buf->suboffsets[i]; } else { memviewslice->suboffsets[i] = -1; } } memviewslice->memview = memview; memviewslice->data = (char *)buf->buf; if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { Py_INCREF(memview); } retval = 0; goto no_fail; fail: memviewslice->memview = 0; memviewslice->data = 0; retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } static CYTHON_INLINE void __pyx_fatalerror(const char *fmt, ...) { va_list vargs; char msg[200]; va_start(vargs, fmt); #ifdef HAVE_STDARG_PROTOTYPES va_start(vargs, fmt); #else va_start(vargs); #endif vsnprintf(msg, 200, fmt, vargs); Py_FatalError(msg); va_end(vargs); } static CYTHON_INLINE int __pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)++; PyThread_release_lock(lock); return result; } static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)--; PyThread_release_lock(lock); return result; } static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int first_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview || (PyObject *) memview == Py_None) return; /* allow uninitialized memoryview assignment */ if (__pyx_get_slice_count(memview) < 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); first_time = __pyx_add_acquisition_count(memview) == 0; if (first_time) { if (have_gil) { Py_INCREF((PyObject *) memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_INCREF((PyObject *) memview); PyGILState_Release(_gilstate); } } } static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int last_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview ) { return; } else if ((PyObject *) memview == Py_None) { memslice->memview = NULL; return; } if (__pyx_get_slice_count(memview) <= 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); last_time = __pyx_sub_acquisition_count(memview) == 1; memslice->data = NULL; if (last_time) { if (have_gil) { Py_CLEAR(memslice->memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_CLEAR(memslice->memview); PyGILState_Release(_gilstate); } } else { memslice->memview = NULL; } } static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { PyErr_Format(PyExc_ValueError, "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); } static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { PyErr_Format(PyExc_ValueError, "need more than %" CYTHON_FORMAT_SSIZE_T "d value%s to unpack", index, (index == 1) ? "" : "s"); } static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); } static CYTHON_INLINE int __Pyx_IterFinish(void) { #if CYTHON_COMPILING_IN_CPYTHON PyThreadState *tstate = PyThreadState_GET(); PyObject* exc_type = tstate->curexc_type; if (unlikely(exc_type)) { if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) { PyObject *exc_value, *exc_tb; exc_value = tstate->curexc_value; exc_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; Py_DECREF(exc_type); Py_XDECREF(exc_value); Py_XDECREF(exc_tb); return 0; } else { return -1; } } return 0; #else if (unlikely(PyErr_Occurred())) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) { PyErr_Clear(); return 0; } else { return -1; } } return 0; #endif } static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) { if (unlikely(retval)) { Py_DECREF(retval); __Pyx_RaiseTooManyValuesError(expected); return -1; } else { return __Pyx_IterFinish(); } return 0; } static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { if (unlikely(!type)) { PyErr_Format(PyExc_SystemError, "Missing type object"); return 0; } if (likely(PyObject_TypeCheck(obj, type))) return 1; PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s", Py_TYPE(obj)->tp_name, type->tp_name); return 0; } static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { #if CYTHON_COMPILING_IN_CPYTHON #if PY_MAJOR_VERSION >= 3 if (likely(PyUnicode_Check(n))) #else if (likely(PyString_Check(n))) #endif return __Pyx_PyObject_GetAttrStr(o, n); #endif return PyObject_GetAttr(o, n); } static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) { PyObject *r = __Pyx_GetAttr(o, n); if (!r) { if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; PyErr_Clear(); r = d; Py_INCREF(d); } return r; bad: return NULL; } static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) { Py_ssize_t q = a / b; Py_ssize_t r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { #if CYTHON_COMPILING_IN_PYPY return PyObject_RichCompareBool(s1, s2, equals); #else if (s1 == s2) { return (equals == Py_EQ); } else if (PyUnicode_CheckExact(s1) & PyUnicode_CheckExact(s2)) { #if CYTHON_PEP393_ENABLED if ((PyUnicode_READY(s1) < 0) || (PyUnicode_READY(s2) < 0)) return -1; if (PyUnicode_GET_LENGTH(s1) != PyUnicode_GET_LENGTH(s2)) { return (equals == Py_NE); } else if (PyUnicode_GET_LENGTH(s1) == 1) { Py_UCS4 ch1 = PyUnicode_READ_CHAR(s1, 0); Py_UCS4 ch2 = PyUnicode_READ_CHAR(s2, 0); return (equals == Py_EQ) ? (ch1 == ch2) : (ch1 != ch2); #else if (PyUnicode_GET_SIZE(s1) != PyUnicode_GET_SIZE(s2)) { return (equals == Py_NE); } else if (PyUnicode_GET_SIZE(s1) == 1) { Py_UNICODE ch1 = PyUnicode_AS_UNICODE(s1)[0]; Py_UNICODE ch2 = PyUnicode_AS_UNICODE(s2)[0]; return (equals == Py_EQ) ? (ch1 == ch2) : (ch1 != ch2); #endif } else { int result = PyUnicode_Compare(s1, s2); if ((result == -1) && unlikely(PyErr_Occurred())) return -1; return (equals == Py_EQ) ? (result == 0) : (result != 0); } } else if ((s1 == Py_None) & PyUnicode_CheckExact(s2)) { return (equals == Py_NE); } else if ((s2 == Py_None) & PyUnicode_CheckExact(s1)) { return (equals == Py_NE); } else { int result; PyObject* py_result = PyObject_RichCompare(s1, s2, equals); if (!py_result) return -1; result = __Pyx_PyObject_IsTrue(py_result); Py_DECREF(py_result); return result; } #endif } static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) { Py_ssize_t length; if (unlikely((start < 0) | (stop < 0))) { length = strlen(cstring); if (start < 0) { start += length; if (start < 0) start = 0; } if (stop < 0) stop += length; } length = stop - start; if (unlikely(length <= 0)) return PyUnicode_FromUnicode(NULL, 0); cstring += start; if (decode_func) { return decode_func(cstring, length, errors); } else { return PyUnicode_Decode(cstring, length, encoding, errors); } } static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) { PyObject *local_type, *local_value, *local_tb; #if CYTHON_COMPILING_IN_CPYTHON PyObject *tmp_type, *tmp_value, *tmp_tb; PyThreadState *tstate = PyThreadState_GET(); local_type = tstate->curexc_type; local_value = tstate->curexc_value; local_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; #else PyErr_Fetch(&local_type, &local_value, &local_tb); #endif PyErr_NormalizeException(&local_type, &local_value, &local_tb); #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(tstate->curexc_type)) #else if (unlikely(PyErr_Occurred())) #endif goto bad; #if PY_MAJOR_VERSION >= 3 if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) goto bad; #endif Py_INCREF(local_type); Py_INCREF(local_value); Py_INCREF(local_tb); *type = local_type; *value = local_value; *tb = local_tb; #if CYTHON_COMPILING_IN_CPYTHON tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = local_type; tstate->exc_value = local_value; tstate->exc_traceback = local_tb; /* Make sure tstate is in a consistent state when we XDECREF these objects (DECREF may run arbitrary code). */ Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); #else PyErr_SetExcInfo(local_type, local_value, local_tb); #endif return 0; bad: *type = 0; *value = 0; *tb = 0; Py_XDECREF(local_type); Py_XDECREF(local_value); Py_XDECREF(local_tb); return -1; } static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); } static CYTHON_INLINE long __Pyx_div_long(long a, long b) { long q = a / b; long r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename) { PyObject *old_exc, *old_val, *old_tb; PyObject *ctx; __Pyx_ErrFetch(&old_exc, &old_val, &old_tb); #if PY_MAJOR_VERSION < 3 ctx = PyString_FromString(name); #else ctx = PyUnicode_FromString(name); #endif __Pyx_ErrRestore(old_exc, old_val, old_tb); if (!ctx) { PyErr_WriteUnraisable(Py_None); } else { PyErr_WriteUnraisable(ctx); Py_DECREF(ctx); } } static int __Pyx_SetVtable(PyObject *dict, void *vtable) { #if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION==3&&PY_MINOR_VERSION==0) PyObject *ob = PyCapsule_New(vtable, 0, 0); #else PyObject *ob = PyCObject_FromVoidPtr(vtable, 0); #endif if (!ob) goto bad; if (PyDict_SetItem(dict, __pyx_n_s____pyx_vtable__, ob) < 0) goto bad; Py_DECREF(ob); return 0; bad: Py_XDECREF(ob); return -1; } #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { #if PY_VERSION_HEX >= 0x02060000 if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); #endif if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags); #if PY_VERSION_HEX < 0x02060000 if (obj->ob_type->tp_dict) { PyObject *getbuffer_cobj = PyObject_GetItem( obj->ob_type->tp_dict, __pyx_n_s____pyx_getbuffer); if (getbuffer_cobj) { getbufferproc func = (getbufferproc) PyCObject_AsVoidPtr(getbuffer_cobj); Py_DECREF(getbuffer_cobj); if (!func) goto fail; return func(obj, view, flags); } else { PyErr_Clear(); } } #endif PyErr_Format(PyExc_TypeError, "'%100s' does not have the buffer interface", Py_TYPE(obj)->tp_name); #if PY_VERSION_HEX < 0x02060000 fail: #endif return -1; } static void __Pyx_ReleaseBuffer(Py_buffer *view) { PyObject *obj = view->obj; if (!obj) return; #if PY_VERSION_HEX >= 0x02060000 if (PyObject_CheckBuffer(obj)) { PyBuffer_Release(view); return; } #endif if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); return; } #if PY_VERSION_HEX < 0x02060000 if (obj->ob_type->tp_dict) { PyObject *releasebuffer_cobj = PyObject_GetItem( obj->ob_type->tp_dict, __pyx_n_s____pyx_releasebuffer); if (releasebuffer_cobj) { releasebufferproc func = (releasebufferproc) PyCObject_AsVoidPtr(releasebuffer_cobj); Py_DECREF(releasebuffer_cobj); if (!func) goto fail; func(obj, view); return; } else { PyErr_Clear(); } } #endif goto nofail; #if PY_VERSION_HEX < 0x02060000 fail: #endif PyErr_WriteUnraisable(obj); nofail: Py_DECREF(obj); view->obj = NULL; } #endif /* PY_MAJOR_VERSION < 3 */ static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { PyObject *empty_list = 0; PyObject *module = 0; PyObject *global_dict = 0; PyObject *empty_dict = 0; PyObject *list; #if PY_VERSION_HEX < 0x03030000 PyObject *py_import; py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s____import__); if (!py_import) goto bad; #endif if (from_list) list = from_list; else { empty_list = PyList_New(0); if (!empty_list) goto bad; list = empty_list; } global_dict = PyModule_GetDict(__pyx_m); if (!global_dict) goto bad; empty_dict = PyDict_New(); if (!empty_dict) goto bad; #if PY_VERSION_HEX >= 0x02050000 { #if PY_MAJOR_VERSION >= 3 if (level == -1) { if (strchr(__Pyx_MODULE_NAME, '.')) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(1); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, 1); #endif if (!module) { if (!PyErr_ExceptionMatches(PyExc_ImportError)) goto bad; PyErr_Clear(); } } level = 0; /* try absolute import on failure */ } #endif if (!module) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(level); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, level); #endif } } #else if (level>0) { PyErr_SetString(PyExc_RuntimeError, "Relative import is not supported for Python <=2.4."); goto bad; } module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, NULL); #endif bad: #if PY_VERSION_HEX < 0x03030000 Py_XDECREF(py_import); #endif Py_XDECREF(empty_list); Py_XDECREF(empty_dict); return module; } #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return ::std::complex< float >(x, y); } #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return x + y*(__pyx_t_float_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { __pyx_t_float_complex z; z.real = x; z.imag = y; return z; } #endif #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex a, __pyx_t_float_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrtf(z.real*z.real + z.imag*z.imag); #else return hypotf(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { float denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(a, a); case 3: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, a); case 4: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_absf(a); theta = atan2f(a.imag, a.real); } lnr = logf(r); z_r = expf(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cosf(z_theta); z.imag = z_r * sinf(z_theta); return z; } #endif #endif #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return ::std::complex< double >(x, y); } #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return x + y*(__pyx_t_double_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { __pyx_t_double_complex z; z.real = x; z.imag = y; return z; } #endif #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex a, __pyx_t_double_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrt(z.real*z.real + z.imag*z.imag); #else return hypot(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { double denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(a, a); case 3: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, a); case 4: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_abs(a); theta = atan2(a.imag, a.real); } lnr = log(r); z_r = exp(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cos(z_theta); z.imag = z_r * sin(z_theta); return z; } #endif #endif static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice *mvs, char order, int ndim) { int i, index, step, start; Py_ssize_t itemsize = mvs->memview->view.itemsize; if (order == 'F') { step = 1; start = 0; } else { step = -1; start = ndim - 1; } for (i = 0; i < ndim; i++) { index = start + step * i; if (mvs->suboffsets[index] >= 0 || mvs->strides[index] != itemsize) return 0; itemsize *= mvs->shape[index]; } return 1; } static void __pyx_get_array_memory_extents(__Pyx_memviewslice *slice, void **out_start, void **out_end, int ndim, size_t itemsize) { char *start, *end; int i; start = end = slice->data; for (i = 0; i < ndim; i++) { Py_ssize_t stride = slice->strides[i]; Py_ssize_t extent = slice->shape[i]; if (extent == 0) { *out_start = *out_end = start; return; } else { if (stride > 0) end += stride * (extent - 1); else start += stride * (extent - 1); } } *out_start = start; *out_end = end + itemsize; } static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize) { void *start1, *end1, *start2, *end2; __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); return (start1 < end2) && (start2 < end1); } static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object) { __Pyx_RefNannyDeclarations int i; __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } }; struct __pyx_memoryview_obj *from_memview = from_mvs->memview; Py_buffer *buf = &from_memview->view; PyObject *shape_tuple = NULL; PyObject *temp_int = NULL; struct __pyx_array_obj *array_obj = NULL; struct __pyx_memoryview_obj *memview_obj = NULL; __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); for (i = 0; i < ndim; i++) { if (from_mvs->suboffsets[i] >= 0) { PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " "indirect dimensions (axis %d)", i); goto fail; } } shape_tuple = PyTuple_New(ndim); if (unlikely(!shape_tuple)) { goto fail; } __Pyx_GOTREF(shape_tuple); for(i = 0; i < ndim; i++) { temp_int = PyInt_FromLong(from_mvs->shape[i]); if(unlikely(!temp_int)) { goto fail; } else { PyTuple_SET_ITEM(shape_tuple, i, temp_int); temp_int = NULL; } } array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL); if (unlikely(!array_obj)) { goto fail; } __Pyx_GOTREF(array_obj); memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( (PyObject *) array_obj, contig_flag, dtype_is_object, from_mvs->memview->typeinfo); if (unlikely(!memview_obj)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) goto fail; if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, dtype_is_object) < 0)) goto fail; goto no_fail; fail: __Pyx_XDECREF(new_mvs.memview); new_mvs.memview = NULL; new_mvs.data = NULL; no_fail: __Pyx_XDECREF(shape_tuple); __Pyx_XDECREF(temp_int); __Pyx_XDECREF(array_obj); __Pyx_RefNannyFinishContext(); return new_mvs; } static CYTHON_INLINE PyObject * __pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) { PyObject *cobj; #if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION == 3 && PY_MINOR_VERSION == 0) cobj = PyCapsule_New(p, sig, NULL); #else cobj = PyCObject_FromVoidPtr(p, NULL); #endif return cobj; } static CYTHON_INLINE void __Pyx_ExceptionSave(PyObject **type, PyObject **value, PyObject **tb) { #if CYTHON_COMPILING_IN_CPYTHON PyThreadState *tstate = PyThreadState_GET(); *type = tstate->exc_type; *value = tstate->exc_value; *tb = tstate->exc_traceback; Py_XINCREF(*type); Py_XINCREF(*value); Py_XINCREF(*tb); #else PyErr_GetExcInfo(type, value, tb); #endif } static void __Pyx_ExceptionReset(PyObject *type, PyObject *value, PyObject *tb) { #if CYTHON_COMPILING_IN_CPYTHON PyObject *tmp_type, *tmp_value, *tmp_tb; PyThreadState *tstate = PyThreadState_GET(); tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = type; tstate->exc_value = value; tstate->exc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); #else PyErr_SetExcInfo(type, value, tb); #endif } static CYTHON_INLINE unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject* x) { const unsigned char neg_one = (unsigned char)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(unsigned char) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(unsigned char)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to unsigned char" : "value too large to convert to unsigned char"); } return (unsigned char)-1; } return (unsigned char)val; } return (unsigned char)__Pyx_PyInt_AsUnsignedLong(x); } static CYTHON_INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject* x) { const unsigned short neg_one = (unsigned short)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(unsigned short) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(unsigned short)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to unsigned short" : "value too large to convert to unsigned short"); } return (unsigned short)-1; } return (unsigned short)val; } return (unsigned short)__Pyx_PyInt_AsUnsignedLong(x); } static CYTHON_INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject* x) { const unsigned int neg_one = (unsigned int)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(unsigned int) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(unsigned int)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to unsigned int" : "value too large to convert to unsigned int"); } return (unsigned int)-1; } return (unsigned int)val; } return (unsigned int)__Pyx_PyInt_AsUnsignedLong(x); } static CYTHON_INLINE char __Pyx_PyInt_AsChar(PyObject* x) { const char neg_one = (char)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(char) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(char)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to char" : "value too large to convert to char"); } return (char)-1; } return (char)val; } return (char)__Pyx_PyInt_AsLong(x); } static CYTHON_INLINE short __Pyx_PyInt_AsShort(PyObject* x) { const short neg_one = (short)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(short) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(short)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to short" : "value too large to convert to short"); } return (short)-1; } return (short)val; } return (short)__Pyx_PyInt_AsLong(x); } static CYTHON_INLINE int __Pyx_PyInt_AsInt(PyObject* x) { const int neg_one = (int)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(int) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(int)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to int" : "value too large to convert to int"); } return (int)-1; } return (int)val; } return (int)__Pyx_PyInt_AsLong(x); } static CYTHON_INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject* x) { const signed char neg_one = (signed char)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(signed char) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(signed char)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to signed char" : "value too large to convert to signed char"); } return (signed char)-1; } return (signed char)val; } return (signed char)__Pyx_PyInt_AsSignedLong(x); } static CYTHON_INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject* x) { const signed short neg_one = (signed short)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(signed short) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(signed short)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to signed short" : "value too large to convert to signed short"); } return (signed short)-1; } return (signed short)val; } return (signed short)__Pyx_PyInt_AsSignedLong(x); } static CYTHON_INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject* x) { const signed int neg_one = (signed int)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(signed int) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(signed int)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to signed int" : "value too large to convert to signed int"); } return (signed int)-1; } return (signed int)val; } return (signed int)__Pyx_PyInt_AsSignedLong(x); } static CYTHON_INLINE int __Pyx_PyInt_AsLongDouble(PyObject* x) { const int neg_one = (int)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(int) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(int)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to int" : "value too large to convert to int"); } return (int)-1; } return (int)val; } return (int)__Pyx_PyInt_AsLong(x); } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject* x) { const unsigned long neg_one = (unsigned long)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned long"); return (unsigned long)-1; } return (unsigned long)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(unsigned long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (unsigned long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned long"); return (unsigned long)-1; } return (unsigned long)PyLong_AsUnsignedLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(unsigned long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(unsigned long) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(unsigned long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (unsigned long)PyLong_AsLong(x); } } else { unsigned long val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (unsigned long)-1; val = __Pyx_PyInt_AsUnsignedLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject* x) { const unsigned PY_LONG_LONG neg_one = (unsigned PY_LONG_LONG)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned PY_LONG_LONG"); return (unsigned PY_LONG_LONG)-1; } return (unsigned PY_LONG_LONG)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(unsigned PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (unsigned PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned PY_LONG_LONG"); return (unsigned PY_LONG_LONG)-1; } return (unsigned PY_LONG_LONG)PyLong_AsUnsignedLongLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(unsigned PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(unsigned PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(unsigned PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (unsigned PY_LONG_LONG)PyLong_AsLongLong(x); } } else { unsigned PY_LONG_LONG val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (unsigned PY_LONG_LONG)-1; val = __Pyx_PyInt_AsUnsignedLongLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE long __Pyx_PyInt_AsLong(PyObject* x) { const long neg_one = (long)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to long"); return (long)-1; } return (long)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to long"); return (long)-1; } return (long)PyLong_AsUnsignedLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(long) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (long)PyLong_AsLong(x); } } else { long val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (long)-1; val = __Pyx_PyInt_AsLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject* x) { const PY_LONG_LONG neg_one = (PY_LONG_LONG)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to PY_LONG_LONG"); return (PY_LONG_LONG)-1; } return (PY_LONG_LONG)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to PY_LONG_LONG"); return (PY_LONG_LONG)-1; } return (PY_LONG_LONG)PyLong_AsUnsignedLongLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (PY_LONG_LONG)PyLong_AsLongLong(x); } } else { PY_LONG_LONG val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (PY_LONG_LONG)-1; val = __Pyx_PyInt_AsLongLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject* x) { const signed long neg_one = (signed long)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to signed long"); return (signed long)-1; } return (signed long)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(signed long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (signed long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to signed long"); return (signed long)-1; } return (signed long)PyLong_AsUnsignedLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(signed long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(signed long) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(signed long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (signed long)PyLong_AsLong(x); } } else { signed long val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (signed long)-1; val = __Pyx_PyInt_AsSignedLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject* x) { const signed PY_LONG_LONG neg_one = (signed PY_LONG_LONG)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to signed PY_LONG_LONG"); return (signed PY_LONG_LONG)-1; } return (signed PY_LONG_LONG)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(signed PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (signed PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to signed PY_LONG_LONG"); return (signed PY_LONG_LONG)-1; } return (signed PY_LONG_LONG)PyLong_AsUnsignedLongLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(signed PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(signed PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(signed PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (signed PY_LONG_LONG)PyLong_AsLongLong(x); } } else { signed PY_LONG_LONG val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (signed PY_LONG_LONG)-1; val = __Pyx_PyInt_AsSignedLongLong(tmp); Py_DECREF(tmp); return val; } } static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) { int i; if (!a || !b) return 0; if (a == b) return 1; if (a->size != b->size || a->typegroup != b->typegroup || a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { if (a->typegroup == 'H' || b->typegroup == 'H') { return a->size == b->size; } else { return 0; } } if (a->ndim) { for (i = 0; i < a->ndim; i++) if (a->arraysize[i] != b->arraysize[i]) return 0; } if (a->typegroup == 'S') { if (a->flags != b->flags) return 0; if (a->fields || b->fields) { if (!(a->fields && b->fields)) return 0; for (i = 0; a->fields[i].type && b->fields[i].type; i++) { __Pyx_StructField *field_a = a->fields + i; __Pyx_StructField *field_b = b->fields + i; if (field_a->offset != field_b->offset || !__pyx_typeinfo_cmp(field_a->type, field_b->type)) return 0; } return !a->fields[i].type && !b->fields[i].type; } } return 1; } static int __pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) { if (buf->shape[dim] <= 1) return 1; if (buf->strides) { if (spec & __Pyx_MEMVIEW_CONTIG) { if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { if (buf->strides[dim] != sizeof(void *)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly contiguous " "in dimension %d.", dim); goto fail; } } else if (buf->strides[dim] != buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } if (spec & __Pyx_MEMVIEW_FOLLOW) { Py_ssize_t stride = buf->strides[dim]; if (stride < 0) stride = -stride; if (stride < buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } } else { if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not contiguous in " "dimension %d", dim); goto fail; } else if (spec & (__Pyx_MEMVIEW_PTR)) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not indirect in " "dimension %d", dim); goto fail; } else if (buf->suboffsets) { PyErr_SetString(PyExc_ValueError, "Buffer exposes suboffsets but no strides"); goto fail; } } return 1; fail: return 0; } static int __pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec) { if (spec & __Pyx_MEMVIEW_DIRECT) { if (buf->suboffsets && buf->suboffsets[dim] >= 0) { PyErr_Format(PyExc_ValueError, "Buffer not compatible with direct access " "in dimension %d.", dim); goto fail; } } if (spec & __Pyx_MEMVIEW_PTR) { if (!buf->suboffsets || (buf->suboffsets && buf->suboffsets[dim] < 0)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly accessisble " "in dimension %d.", dim); goto fail; } } return 1; fail: return 0; } static int __pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) { int i; if (c_or_f_flag & __Pyx_IS_F_CONTIG) { Py_ssize_t stride = 1; for (i = 0; i < ndim; i++) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not fortran contiguous."); goto fail; } stride = stride * buf->shape[i]; } } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { Py_ssize_t stride = 1; for (i = ndim - 1; i >- 1; i--) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not C contiguous."); goto fail; } stride = stride * buf->shape[i]; } } return 1; fail: return 0; } static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj) { struct __pyx_memoryview_obj *memview, *new_memview; __Pyx_RefNannyDeclarations Py_buffer *buf; int i, spec = 0, retval = -1; __Pyx_BufFmt_Context ctx; int from_memoryview = __pyx_memoryview_check(original_obj); __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) original_obj)->typeinfo)) { memview = (struct __pyx_memoryview_obj *) original_obj; new_memview = NULL; } else { memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( original_obj, buf_flags, 0, dtype); new_memview = memview; if (unlikely(!memview)) goto fail; } buf = &memview->view; if (buf->ndim != ndim) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", ndim, buf->ndim); goto fail; } if (new_memview) { __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned) buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } for (i = 0; i < ndim; i++) { spec = axes_specs[i]; if (!__pyx_check_strides(buf, i, ndim, spec)) goto fail; if (!__pyx_check_suboffsets(buf, i, ndim, spec)) goto fail; } if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, new_memview != NULL) == -1)) { goto fail; } retval = 0; goto no_fail; fail: Py_XDECREF(new_memview); retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_nn_coordT(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, PyBUF_RECORDS, 1, &__Pyx_TypeInfo_nn_coordT, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_unsigned_int(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, PyBUF_RECORDS, 1, &__Pyx_TypeInfo_unsigned_int, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } static int __Pyx_check_binary_version(void) { char ctversion[4], rtversion[4]; PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) { char message[200]; PyOS_snprintf(message, sizeof(message), "compiletime version %s of module '%.100s' " "does not match runtime version %s", ctversion, __Pyx_MODULE_NAME, rtversion); #if PY_VERSION_HEX < 0x02050000 return PyErr_Warn(NULL, message); #else return PyErr_WarnEx(NULL, message, 1); #endif } return 0; } #ifndef __PYX_HAVE_RT_ImportModule #define __PYX_HAVE_RT_ImportModule static PyObject *__Pyx_ImportModule(const char *name) { PyObject *py_name = 0; PyObject *py_module = 0; py_name = __Pyx_PyIdentifier_FromString(name); if (!py_name) goto bad; py_module = PyImport_Import(py_name); Py_DECREF(py_name); return py_module; bad: Py_XDECREF(py_name); return 0; } #endif #ifndef __PYX_HAVE_RT_ImportType #define __PYX_HAVE_RT_ImportType static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict) { PyObject *py_module = 0; PyObject *result = 0; PyObject *py_name = 0; char warning[200]; Py_ssize_t basicsize; #ifdef Py_LIMITED_API PyObject *py_basicsize; #endif py_module = __Pyx_ImportModule(module_name); if (!py_module) goto bad; py_name = __Pyx_PyIdentifier_FromString(class_name); if (!py_name) goto bad; result = PyObject_GetAttr(py_module, py_name); Py_DECREF(py_name); py_name = 0; Py_DECREF(py_module); py_module = 0; if (!result) goto bad; if (!PyType_Check(result)) { PyErr_Format(PyExc_TypeError, "%s.%s is not a type object", module_name, class_name); goto bad; } #ifndef Py_LIMITED_API basicsize = ((PyTypeObject *)result)->tp_basicsize; #else py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); if (!py_basicsize) goto bad; basicsize = PyLong_AsSsize_t(py_basicsize); Py_DECREF(py_basicsize); py_basicsize = 0; if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) goto bad; #endif if (!strict && (size_t)basicsize > size) { PyOS_snprintf(warning, sizeof(warning), "%s.%s size changed, may indicate binary incompatibility", module_name, class_name); #if PY_VERSION_HEX < 0x02050000 if (PyErr_Warn(NULL, warning) < 0) goto bad; #else if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; #endif } else if ((size_t)basicsize != size) { PyErr_Format(PyExc_ValueError, "%s.%s has the wrong size, try recompiling", module_name, class_name); goto bad; } return (PyTypeObject *)result; bad: Py_XDECREF(py_module); Py_XDECREF(result); return NULL; } #endif static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { int start = 0, mid = 0, end = count - 1; if (end >= 0 && code_line > entries[end].code_line) { return count; } while (start < end) { mid = (start + end) / 2; if (code_line < entries[mid].code_line) { end = mid; } else if (code_line > entries[mid].code_line) { start = mid + 1; } else { return mid; } } if (code_line <= entries[mid].code_line) { return mid; } else { return mid + 1; } } static PyCodeObject *__pyx_find_code_object(int code_line) { PyCodeObject* code_object; int pos; if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { return NULL; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { return NULL; } code_object = __pyx_code_cache.entries[pos].code_object; Py_INCREF(code_object); return code_object; } static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { int pos, i; __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; if (unlikely(!code_line)) { return; } if (unlikely(!entries)) { entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); if (likely(entries)) { __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = 64; __pyx_code_cache.count = 1; entries[0].code_line = code_line; entries[0].code_object = code_object; Py_INCREF(code_object); } return; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { PyCodeObject* tmp = entries[pos].code_object; entries[pos].code_object = code_object; Py_DECREF(tmp); return; } if (__pyx_code_cache.count == __pyx_code_cache.max_count) { int new_max = __pyx_code_cache.max_count + 64; entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( __pyx_code_cache.entries, new_max*sizeof(__Pyx_CodeObjectCacheEntry)); if (unlikely(!entries)) { return; } __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = new_max; } for (i=__pyx_code_cache.count; i>pos; i--) { entries[i] = entries[i-1]; } entries[pos].code_line = code_line; entries[pos].code_object = code_object; __pyx_code_cache.count++; Py_INCREF(code_object); } #include "compile.h" #include "frameobject.h" #include "traceback.h" static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyObject *py_srcfile = 0; PyObject *py_funcname = 0; #if PY_MAJOR_VERSION < 3 py_srcfile = PyString_FromString(filename); #else py_srcfile = PyUnicode_FromString(filename); #endif if (!py_srcfile) goto bad; if (c_line) { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #else py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #endif } else { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromString(funcname); #else py_funcname = PyUnicode_FromString(funcname); #endif } if (!py_funcname) goto bad; py_code = __Pyx_PyCode_New( 0, /*int argcount,*/ 0, /*int kwonlyargcount,*/ 0, /*int nlocals,*/ 0, /*int stacksize,*/ 0, /*int flags,*/ __pyx_empty_bytes, /*PyObject *code,*/ __pyx_empty_tuple, /*PyObject *consts,*/ __pyx_empty_tuple, /*PyObject *names,*/ __pyx_empty_tuple, /*PyObject *varnames,*/ __pyx_empty_tuple, /*PyObject *freevars,*/ __pyx_empty_tuple, /*PyObject *cellvars,*/ py_srcfile, /*PyObject *filename,*/ py_funcname, /*PyObject *name,*/ py_line, /*int firstlineno,*/ __pyx_empty_bytes /*PyObject *lnotab*/ ); Py_DECREF(py_srcfile); Py_DECREF(py_funcname); return py_code; bad: Py_XDECREF(py_srcfile); Py_XDECREF(py_funcname); return NULL; } static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyObject *py_globals = 0; PyFrameObject *py_frame = 0; py_code = __pyx_find_code_object(c_line ? c_line : py_line); if (!py_code) { py_code = __Pyx_CreateCodeObjectForTraceback( funcname, c_line, py_line, filename); if (!py_code) goto bad; __pyx_insert_code_object(c_line ? c_line : py_line, py_code); } py_globals = PyModule_GetDict(__pyx_m); if (!py_globals) goto bad; py_frame = PyFrame_New( PyThreadState_GET(), /*PyThreadState *tstate,*/ py_code, /*PyCodeObject *code,*/ py_globals, /*PyObject *globals,*/ 0 /*PyObject *locals*/ ); if (!py_frame) goto bad; py_frame->f_lineno = py_line; PyTraceBack_Here(py_frame); bad: Py_XDECREF(py_code); Py_XDECREF(py_frame); } static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { while (t->p) { #if PY_MAJOR_VERSION < 3 if (t->is_unicode) { *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); } else if (t->intern) { *t->p = PyString_InternFromString(t->s); } else { *t->p = PyString_FromStringAndSize(t->s, t->n - 1); } #else /* Python 3+ has unicode identifiers */ if (t->is_unicode | t->is_str) { if (t->intern) { *t->p = PyUnicode_InternFromString(t->s); } else if (t->encoding) { *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL); } else { *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1); } } else { *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1); } #endif if (!*t->p) return -1; ++t; } return 0; } static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(char* c_str) { return __Pyx_PyUnicode_FromStringAndSize(c_str, strlen(c_str)); } static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject* o) { Py_ssize_t ignore; return __Pyx_PyObject_AsStringAndSize(o, &ignore); } static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT if ( #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII __Pyx_sys_getdefaultencoding_not_ascii && #endif PyUnicode_Check(o)) { #if PY_VERSION_HEX < 0x03030000 char* defenc_c; PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); if (!defenc) return NULL; defenc_c = PyBytes_AS_STRING(defenc); #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII { char* end = defenc_c + PyBytes_GET_SIZE(defenc); char* c; for (c = defenc_c; c < end; c++) { if ((unsigned char) (*c) >= 128) { PyUnicode_AsASCIIString(o); return NULL; } } } #endif /*__PYX_DEFAULT_STRING_ENCODING_IS_ASCII*/ *length = PyBytes_GET_SIZE(defenc); return defenc_c; #else /* PY_VERSION_HEX < 0x03030000 */ if (PyUnicode_READY(o) == -1) return NULL; #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII if (PyUnicode_IS_ASCII(o)) { *length = PyUnicode_GET_DATA_SIZE(o); return PyUnicode_AsUTF8(o); } else { PyUnicode_AsASCIIString(o); return NULL; } #else /* __PYX_DEFAULT_STRING_ENCODING_IS_ASCII */ return PyUnicode_AsUTF8AndSize(o, length); #endif /* __PYX_DEFAULT_STRING_ENCODING_IS_ASCII */ #endif /* PY_VERSION_HEX < 0x03030000 */ } else #endif /* __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT */ { char* result; int r = PyBytes_AsStringAndSize(o, &result, length); if (r < 0) { return NULL; } else { return result; } } } static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { int is_true = x == Py_True; if (is_true | (x == Py_False) | (x == Py_None)) return is_true; else return PyObject_IsTrue(x); } static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x) { PyNumberMethods *m; const char *name = NULL; PyObject *res = NULL; #if PY_MAJOR_VERSION < 3 if (PyInt_Check(x) || PyLong_Check(x)) #else if (PyLong_Check(x)) #endif return Py_INCREF(x), x; m = Py_TYPE(x)->tp_as_number; #if PY_MAJOR_VERSION < 3 if (m && m->nb_int) { name = "int"; res = PyNumber_Int(x); } else if (m && m->nb_long) { name = "long"; res = PyNumber_Long(x); } #else if (m && m->nb_int) { name = "int"; res = PyNumber_Long(x); } #endif if (res) { #if PY_MAJOR_VERSION < 3 if (!PyInt_Check(res) && !PyLong_Check(res)) { #else if (!PyLong_Check(res)) { #endif PyErr_Format(PyExc_TypeError, "__%s__ returned non-%s (type %.200s)", name, name, Py_TYPE(res)->tp_name); Py_DECREF(res); return NULL; } } else if (!PyErr_Occurred()) { PyErr_SetString(PyExc_TypeError, "an integer is required"); } return res; } static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { Py_ssize_t ival; PyObject* x = PyNumber_Index(b); if (!x) return -1; ival = PyInt_AsSsize_t(x); Py_DECREF(x); return ival; } static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { #if PY_VERSION_HEX < 0x02050000 if (ival <= LONG_MAX) return PyInt_FromLong((long)ival); else { unsigned char *bytes = (unsigned char *) &ival; int one = 1; int little = (int)*(unsigned char*)&one; return _PyLong_FromByteArray(bytes, sizeof(size_t), little, 0); } #else return PyInt_FromSize_t(ival); #endif } static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject* x) { unsigned PY_LONG_LONG val = __Pyx_PyInt_AsUnsignedLongLong(x); if (unlikely(val != (unsigned PY_LONG_LONG)(size_t)val)) { if ((val != (unsigned PY_LONG_LONG)-1) || !PyErr_Occurred()) PyErr_SetString(PyExc_OverflowError, "value too large to convert to size_t"); return (size_t)-1; } return (size_t)val; } #endif /* Py_PYTHON_H */ PyMca5-5.2.2/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxd0000644000276300001750000000633513136054446023164 0ustar solebliss00000000000000#/*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # #############################################################################*/ cimport numpy cdef extern from "stdio.h": ctypedef void FILE extern FILE * stderr cdef extern from 'user.h': # Sync floating point type with qhull # See REALfloat macro in qhull/src/user.h IF REALfloat == 1: ctypedef numpy.float32_t realT ELSE: ctypedef numpy.float64_t realT # Debian libqhull-dev renamed libqhull.h tp qhull.h # include qhull_a.h instead to workaround this case # cdef extern from 'libqhull.h': cdef extern from 'qhull_a.h': ctypedef unsigned int boolT ctypedef realT coordT ctypedef unsigned int flagT ctypedef coordT pointT ctypedef struct vertexT: pointT * point ctypedef struct facetT: facetT * next setT * vertices flagT upperdelaunay ctypedef struct qhT: facetT * facet_list int qh_new_qhull(int dim, int numpoints, coordT * points, boolT ismalloc, char * qhull_cmd, FILE * outfile, FILE * errfile) nogil void qh_freeqhull(boolT allmem) nogil int qh_pointid(pointT * point) nogil void qh_setdelaunay(int dim, int count, pointT * points) nogil # facetT * qh_findbestfacet(pointT * point, boolT bestoutside, # realT * bestdist, boolT * isoutside) nogil extern char * qh_version # WARNING sync type with #define qh_QHpointer in user.h IF qh_QHpointer == 0: extern qhT qh_qh ELSE: extern qhT * qh_qh boolT qh_ALL = True int qh_ERRnone = 0 int qh_ERRinput = 1 int qh_ERRsingular = 2 int qh_ERRprec = 3 int qh_ERRmem = 4 int qh_ERRqhull = 5 cdef extern from 'qset.h': ctypedef union setelemT: void * p int i ctypedef struct setT: int maxsize setelemT e[1] # cdef extern from 'geom.h': # pointT *qh_facetcenter(setT *vertices) nogil PyMca5-5.2.2/PyMca5/Object3D/Object3DQhull/_qhull/_qhull64.pyx0000644000276300001750000000007113136054446023511 0ustar solebliss00000000000000# Proxy to qhull wrapper for 64-bits include 'qhull.pxi' PyMca5-5.2.2/PyMca5/Object3D/Object3DQhull/_qhull/_qhull32.pyx0000644000276300001750000000007113136054446023504 0ustar solebliss00000000000000# Proxy to qhull wrapper for 32-bits include 'qhull.pxi' PyMca5-5.2.2/PyMca5/Object3D/Object3DQhull/_qhull/_qhull64.c0000644000276300001750000265271413136054446023136 0ustar solebliss00000000000000/* Generated by Cython 0.19.1 on Wed Jul 29 15:48:38 2015 */ #define PY_SSIZE_T_CLEAN #ifndef CYTHON_USE_PYLONG_INTERNALS #ifdef PYLONG_BITS_IN_DIGIT #define CYTHON_USE_PYLONG_INTERNALS 0 #else #include "pyconfig.h" #ifdef PYLONG_BITS_IN_DIGIT #define CYTHON_USE_PYLONG_INTERNALS 1 #else #define CYTHON_USE_PYLONG_INTERNALS 0 #endif #endif #endif #include "Python.h" #ifndef Py_PYTHON_H #error Python headers needed to compile C extensions, please install development version of Python. #elif PY_VERSION_HEX < 0x02040000 #error Cython requires Python 2.4+. #else #include /* For offsetof */ #ifndef offsetof #define offsetof(type, member) ( (size_t) & ((type*)0) -> member ) #endif #if !defined(WIN32) && !defined(MS_WINDOWS) #ifndef __stdcall #define __stdcall #endif #ifndef __cdecl #define __cdecl #endif #ifndef __fastcall #define __fastcall #endif #endif #ifndef DL_IMPORT #define DL_IMPORT(t) t #endif #ifndef DL_EXPORT #define DL_EXPORT(t) t #endif #ifndef PY_LONG_LONG #define PY_LONG_LONG LONG_LONG #endif #ifndef Py_HUGE_VAL #define Py_HUGE_VAL HUGE_VAL #endif #ifdef PYPY_VERSION #define CYTHON_COMPILING_IN_PYPY 1 #define CYTHON_COMPILING_IN_CPYTHON 0 #else #define CYTHON_COMPILING_IN_PYPY 0 #define CYTHON_COMPILING_IN_CPYTHON 1 #endif #if PY_VERSION_HEX < 0x02050000 typedef int Py_ssize_t; #define PY_SSIZE_T_MAX INT_MAX #define PY_SSIZE_T_MIN INT_MIN #define PY_FORMAT_SIZE_T "" #define CYTHON_FORMAT_SSIZE_T "" #define PyInt_FromSsize_t(z) PyInt_FromLong(z) #define PyInt_AsSsize_t(o) __Pyx_PyInt_AsInt(o) #define PyNumber_Index(o) ((PyNumber_Check(o) && !PyFloat_Check(o)) ? PyNumber_Int(o) : \ (PyErr_Format(PyExc_TypeError, \ "expected index value, got %.200s", Py_TYPE(o)->tp_name), \ (PyObject*)0)) #define __Pyx_PyIndex_Check(o) (PyNumber_Check(o) && !PyFloat_Check(o) && \ !PyComplex_Check(o)) #define PyIndex_Check __Pyx_PyIndex_Check #define PyErr_WarnEx(category, message, stacklevel) PyErr_Warn(category, message) #define __PYX_BUILD_PY_SSIZE_T "i" #else #define __PYX_BUILD_PY_SSIZE_T "n" #define CYTHON_FORMAT_SSIZE_T "z" #define __Pyx_PyIndex_Check PyIndex_Check #endif #if PY_VERSION_HEX < 0x02060000 #define Py_REFCNT(ob) (((PyObject*)(ob))->ob_refcnt) #define Py_TYPE(ob) (((PyObject*)(ob))->ob_type) #define Py_SIZE(ob) (((PyVarObject*)(ob))->ob_size) #define PyVarObject_HEAD_INIT(type, size) \ PyObject_HEAD_INIT(type) size, #define PyType_Modified(t) typedef struct { void *buf; PyObject *obj; Py_ssize_t len; Py_ssize_t itemsize; int readonly; int ndim; char *format; Py_ssize_t *shape; Py_ssize_t *strides; Py_ssize_t *suboffsets; void *internal; } Py_buffer; #define PyBUF_SIMPLE 0 #define PyBUF_WRITABLE 0x0001 #define PyBUF_FORMAT 0x0004 #define PyBUF_ND 0x0008 #define PyBUF_STRIDES (0x0010 | PyBUF_ND) #define PyBUF_C_CONTIGUOUS (0x0020 | PyBUF_STRIDES) #define PyBUF_F_CONTIGUOUS (0x0040 | PyBUF_STRIDES) #define PyBUF_ANY_CONTIGUOUS (0x0080 | PyBUF_STRIDES) #define PyBUF_INDIRECT (0x0100 | PyBUF_STRIDES) #define PyBUF_RECORDS (PyBUF_STRIDES | PyBUF_FORMAT | PyBUF_WRITABLE) #define PyBUF_FULL (PyBUF_INDIRECT | PyBUF_FORMAT | PyBUF_WRITABLE) typedef int (*getbufferproc)(PyObject *, Py_buffer *, int); typedef void (*releasebufferproc)(PyObject *, Py_buffer *); #endif #if PY_MAJOR_VERSION < 3 #define __Pyx_BUILTIN_MODULE_NAME "__builtin__" #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) \ PyCode_New(a, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) #else #define __Pyx_BUILTIN_MODULE_NAME "builtins" #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) \ PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) #endif #if PY_MAJOR_VERSION < 3 && PY_MINOR_VERSION < 6 #define PyUnicode_FromString(s) PyUnicode_Decode(s, strlen(s), "UTF-8", "strict") #endif #if PY_MAJOR_VERSION >= 3 #define Py_TPFLAGS_CHECKTYPES 0 #define Py_TPFLAGS_HAVE_INDEX 0 #endif #if (PY_VERSION_HEX < 0x02060000) || (PY_MAJOR_VERSION >= 3) #define Py_TPFLAGS_HAVE_NEWBUFFER 0 #endif #if PY_VERSION_HEX < 0x02060000 #define Py_TPFLAGS_HAVE_VERSION_TAG 0 #endif #if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND) #define CYTHON_PEP393_ENABLED 1 #define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ? \ 0 : _PyUnicode_Ready((PyObject *)(op))) #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u) #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i) #define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i) #else #define CYTHON_PEP393_ENABLED 0 #define __Pyx_PyUnicode_READY(op) (0) #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u) #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i])) #define __Pyx_PyUnicode_READ(k, d, i) ((k=k), (Py_UCS4)(((Py_UNICODE*)d)[i])) #endif #if PY_MAJOR_VERSION >= 3 #define PyBaseString_Type PyUnicode_Type #define PyStringObject PyUnicodeObject #define PyString_Type PyUnicode_Type #define PyString_Check PyUnicode_Check #define PyString_CheckExact PyUnicode_CheckExact #endif #if PY_VERSION_HEX < 0x02060000 #define PyBytesObject PyStringObject #define PyBytes_Type PyString_Type #define PyBytes_Check PyString_Check #define PyBytes_CheckExact PyString_CheckExact #define PyBytes_FromString PyString_FromString #define PyBytes_FromStringAndSize PyString_FromStringAndSize #define PyBytes_FromFormat PyString_FromFormat #define PyBytes_DecodeEscape PyString_DecodeEscape #define PyBytes_AsString PyString_AsString #define PyBytes_AsStringAndSize PyString_AsStringAndSize #define PyBytes_Size PyString_Size #define PyBytes_AS_STRING PyString_AS_STRING #define PyBytes_GET_SIZE PyString_GET_SIZE #define PyBytes_Repr PyString_Repr #define PyBytes_Concat PyString_Concat #define PyBytes_ConcatAndDel PyString_ConcatAndDel #endif #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj) #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj) #else #define __Pyx_PyBaseString_Check(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj) || \ PyString_Check(obj) || PyUnicode_Check(obj)) #define __Pyx_PyBaseString_CheckExact(obj) (Py_TYPE(obj) == &PyBaseString_Type) #endif #if PY_VERSION_HEX < 0x02060000 #define PySet_Check(obj) PyObject_TypeCheck(obj, &PySet_Type) #define PyFrozenSet_Check(obj) PyObject_TypeCheck(obj, &PyFrozenSet_Type) #endif #ifndef PySet_CheckExact #define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type) #endif #define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) #if PY_MAJOR_VERSION >= 3 #define PyIntObject PyLongObject #define PyInt_Type PyLong_Type #define PyInt_Check(op) PyLong_Check(op) #define PyInt_CheckExact(op) PyLong_CheckExact(op) #define PyInt_FromString PyLong_FromString #define PyInt_FromUnicode PyLong_FromUnicode #define PyInt_FromLong PyLong_FromLong #define PyInt_FromSize_t PyLong_FromSize_t #define PyInt_FromSsize_t PyLong_FromSsize_t #define PyInt_AsLong PyLong_AsLong #define PyInt_AS_LONG PyLong_AS_LONG #define PyInt_AsSsize_t PyLong_AsSsize_t #define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask #endif #if PY_MAJOR_VERSION >= 3 #define PyBoolObject PyLongObject #endif #if PY_VERSION_HEX < 0x03020000 typedef long Py_hash_t; #define __Pyx_PyInt_FromHash_t PyInt_FromLong #define __Pyx_PyInt_AsHash_t PyInt_AsLong #else #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t #define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t #endif #if (PY_MAJOR_VERSION < 3) || (PY_VERSION_HEX >= 0x03010300) #define __Pyx_PySequence_GetSlice(obj, a, b) PySequence_GetSlice(obj, a, b) #define __Pyx_PySequence_SetSlice(obj, a, b, value) PySequence_SetSlice(obj, a, b, value) #define __Pyx_PySequence_DelSlice(obj, a, b) PySequence_DelSlice(obj, a, b) #else #define __Pyx_PySequence_GetSlice(obj, a, b) (unlikely(!(obj)) ? \ (PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), (PyObject*)0) : \ (likely((obj)->ob_type->tp_as_mapping) ? (PySequence_GetSlice(obj, a, b)) : \ (PyErr_Format(PyExc_TypeError, "'%.200s' object is unsliceable", (obj)->ob_type->tp_name), (PyObject*)0))) #define __Pyx_PySequence_SetSlice(obj, a, b, value) (unlikely(!(obj)) ? \ (PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), -1) : \ (likely((obj)->ob_type->tp_as_mapping) ? (PySequence_SetSlice(obj, a, b, value)) : \ (PyErr_Format(PyExc_TypeError, "'%.200s' object doesn't support slice assignment", (obj)->ob_type->tp_name), -1))) #define __Pyx_PySequence_DelSlice(obj, a, b) (unlikely(!(obj)) ? \ (PyErr_SetString(PyExc_SystemError, "null argument to internal routine"), -1) : \ (likely((obj)->ob_type->tp_as_mapping) ? (PySequence_DelSlice(obj, a, b)) : \ (PyErr_Format(PyExc_TypeError, "'%.200s' object doesn't support slice deletion", (obj)->ob_type->tp_name), -1))) #endif #if PY_MAJOR_VERSION >= 3 #define PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : PyInstanceMethod_New(func)) #endif #if PY_VERSION_HEX < 0x02050000 #define __Pyx_GetAttrString(o,n) PyObject_GetAttrString((o),((char *)(n))) #define __Pyx_SetAttrString(o,n,a) PyObject_SetAttrString((o),((char *)(n)),(a)) #define __Pyx_DelAttrString(o,n) PyObject_DelAttrString((o),((char *)(n))) #else #define __Pyx_GetAttrString(o,n) PyObject_GetAttrString((o),(n)) #define __Pyx_SetAttrString(o,n,a) PyObject_SetAttrString((o),(n),(a)) #define __Pyx_DelAttrString(o,n) PyObject_DelAttrString((o),(n)) #endif #if PY_VERSION_HEX < 0x02050000 #define __Pyx_NAMESTR(n) ((char *)(n)) #define __Pyx_DOCSTR(n) ((char *)(n)) #else #define __Pyx_NAMESTR(n) (n) #define __Pyx_DOCSTR(n) (n) #endif #ifndef CYTHON_INLINE #if defined(__GNUC__) #define CYTHON_INLINE __inline__ #elif defined(_MSC_VER) #define CYTHON_INLINE __inline #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define CYTHON_INLINE inline #else #define CYTHON_INLINE #endif #endif #ifndef CYTHON_RESTRICT #if defined(__GNUC__) #define CYTHON_RESTRICT __restrict__ #elif defined(_MSC_VER) && _MSC_VER >= 1400 #define CYTHON_RESTRICT __restrict #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L #define CYTHON_RESTRICT restrict #else #define CYTHON_RESTRICT #endif #endif #ifdef NAN #define __PYX_NAN() ((float) NAN) #else static CYTHON_INLINE float __PYX_NAN() { /* Initialize NaN. The sign is irrelevant, an exponent with all bits 1 and a nonzero mantissa means NaN. If the first bit in the mantissa is 1, it is a quiet NaN. */ float value; memset(&value, 0xFF, sizeof(value)); return value; } #endif #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y) #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y) #else #define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y) #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y) #endif #ifndef __PYX_EXTERN_C #ifdef __cplusplus #define __PYX_EXTERN_C extern "C" #else #define __PYX_EXTERN_C extern #endif #endif #if defined(WIN32) || defined(MS_WINDOWS) #define _USE_MATH_DEFINES #endif #include #define __PYX_HAVE___qhull64 #define __PYX_HAVE_API___qhull64 #include "string.h" #include "stdio.h" #include "stdlib.h" #include "numpy/arrayobject.h" #include "numpy/ufuncobject.h" #include "user.h" #include "qhull_a.h" #include "qset.h" #include "pythread.h" #include "pystate.h" #ifdef _OPENMP #include #endif /* _OPENMP */ #ifdef PYREX_WITHOUT_ASSERTIONS #define CYTHON_WITHOUT_ASSERTIONS #endif #ifndef CYTHON_UNUSED # if defined(__GNUC__) # if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) # define CYTHON_UNUSED __attribute__ ((__unused__)) # else # define CYTHON_UNUSED # endif # elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) # define CYTHON_UNUSED __attribute__ ((__unused__)) # else # define CYTHON_UNUSED # endif #endif typedef struct {PyObject **p; char *s; const Py_ssize_t n; const char* encoding; const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; /*proto*/ #define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0 #define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT 0 #define __PYX_DEFAULT_STRING_ENCODING "" #define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString #define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject*); static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); #define __Pyx_PyBytes_FromString PyBytes_FromString #define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(char*); #if PY_MAJOR_VERSION < 3 #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize #else #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize #endif #define __Pyx_PyObject_AsUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s)) #define __Pyx_PyObject_FromUString(s) __Pyx_PyObject_FromString((char*)s) #define __Pyx_PyBytes_FromUString(s) __Pyx_PyBytes_FromString((char*)s) #define __Pyx_PyStr_FromUString(s) __Pyx_PyStr_FromString((char*)s) #define __Pyx_PyUnicode_FromUString(s) __Pyx_PyUnicode_FromString((char*)s) #if PY_MAJOR_VERSION < 3 static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { const Py_UNICODE *u_end = u; while (*u_end++) ; return u_end - u - 1; } #else #define __Pyx_Py_UNICODE_strlen Py_UNICODE_strlen #endif #define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u)) #define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode #define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode #define __Pyx_Owned_Py_None(b) (Py_INCREF(Py_None), Py_None) #define __Pyx_PyBool_FromLong(b) ((b) ? (Py_INCREF(Py_True), Py_True) : (Py_INCREF(Py_False), Py_False)) static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x); static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject*); #if CYTHON_COMPILING_IN_CPYTHON #define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) #else #define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) #endif #define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII static int __Pyx_sys_getdefaultencoding_not_ascii; static int __Pyx_init_sys_getdefaultencoding_params() { PyObject* sys = NULL; PyObject* default_encoding = NULL; PyObject* ascii_chars_u = NULL; PyObject* ascii_chars_b = NULL; sys = PyImport_ImportModule("sys"); if (sys == NULL) goto bad; default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); if (default_encoding == NULL) goto bad; if (strcmp(PyBytes_AsString(default_encoding), "ascii") == 0) { __Pyx_sys_getdefaultencoding_not_ascii = 0; } else { const char* default_encoding_c = PyBytes_AS_STRING(default_encoding); char ascii_chars[128]; int c; for (c = 0; c < 128; c++) { ascii_chars[c] = c; } __Pyx_sys_getdefaultencoding_not_ascii = 1; ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); if (ascii_chars_u == NULL) goto bad; ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); if (ascii_chars_b == NULL || strncmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { PyErr_Format( PyExc_ValueError, "This module compiled with c_string_encoding=ascii, but default encoding '%s' is not a superset of ascii.", default_encoding_c); goto bad; } } Py_XDECREF(sys); Py_XDECREF(default_encoding); Py_XDECREF(ascii_chars_u); Py_XDECREF(ascii_chars_b); return 0; bad: Py_XDECREF(sys); Py_XDECREF(default_encoding); Py_XDECREF(ascii_chars_u); Py_XDECREF(ascii_chars_b); return -1; } #endif #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) #else #define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) #if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT static char* __PYX_DEFAULT_STRING_ENCODING; static int __Pyx_init_sys_getdefaultencoding_params() { PyObject* sys = NULL; PyObject* default_encoding = NULL; char* default_encoding_c; sys = PyImport_ImportModule("sys"); if (sys == NULL) goto bad; default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL); if (default_encoding == NULL) goto bad; default_encoding_c = PyBytes_AS_STRING(default_encoding); __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c)); strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); Py_DECREF(sys); Py_DECREF(default_encoding); return 0; bad: Py_XDECREF(sys); Py_XDECREF(default_encoding); return -1; } #endif #endif #ifdef __GNUC__ /* Test for GCC > 2.95 */ #if __GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)) #define likely(x) __builtin_expect(!!(x), 1) #define unlikely(x) __builtin_expect(!!(x), 0) #else /* __GNUC__ > 2 ... */ #define likely(x) (x) #define unlikely(x) (x) #endif /* __GNUC__ > 2 ... */ #else /* __GNUC__ */ #define likely(x) (x) #define unlikely(x) (x) #endif /* __GNUC__ */ static PyObject *__pyx_m; static PyObject *__pyx_d; static PyObject *__pyx_b; static PyObject *__pyx_empty_tuple; static PyObject *__pyx_empty_bytes; static int __pyx_lineno; static int __pyx_clineno = 0; static const char * __pyx_cfilenm= __FILE__; static const char *__pyx_filename; #if !defined(CYTHON_CCOMPLEX) #if defined(__cplusplus) #define CYTHON_CCOMPLEX 1 #elif defined(_Complex_I) #define CYTHON_CCOMPLEX 1 #else #define CYTHON_CCOMPLEX 0 #endif #endif #if CYTHON_CCOMPLEX #ifdef __cplusplus #include #else #include #endif #endif #if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__) #undef _Complex_I #define _Complex_I 1.0fj #endif static const char *__pyx_f[] = { "qhull.pxi", "numpy.pxd", "stringsource", "_qhull64.pyx", "type.pxd", }; #define IS_UNSIGNED(type) (((type) -1) > 0) struct __Pyx_StructField_; #define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0) typedef struct { const char* name; /* for error messages only */ struct __Pyx_StructField_* fields; size_t size; /* sizeof(type) */ size_t arraysize[8]; /* length of array in each dimension */ int ndim; char typegroup; /* _R_eal, _C_omplex, Signed _I_nt, _U_nsigned int, _S_truct, _P_ointer, _O_bject, c_H_ar */ char is_unsigned; int flags; } __Pyx_TypeInfo; typedef struct __Pyx_StructField_ { __Pyx_TypeInfo* type; const char* name; size_t offset; } __Pyx_StructField; typedef struct { __Pyx_StructField* field; size_t parent_offset; } __Pyx_BufFmt_StackElem; typedef struct { __Pyx_StructField root; __Pyx_BufFmt_StackElem* head; size_t fmt_offset; size_t new_count, enc_count; size_t struct_alignment; int is_complex; char enc_type; char new_packmode; char enc_packmode; char is_valid_array; } __Pyx_BufFmt_Context; struct __pyx_memoryview_obj; typedef struct { struct __pyx_memoryview_obj *memview; char *data; Py_ssize_t shape[8]; Py_ssize_t strides[8]; Py_ssize_t suboffsets[8]; } __Pyx_memviewslice; #include #ifndef CYTHON_ATOMICS #define CYTHON_ATOMICS 1 #endif #define __pyx_atomic_int_type int #if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 || \ (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) && \ !defined(__i386__) #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1) #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1) #ifdef __PYX_DEBUG_ATOMICS #warning "Using GNU atomics" #endif #elif CYTHON_ATOMICS && MSC_VER #include #define __pyx_atomic_int_type LONG #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #warning "Using MSVC atomics" #endif #elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0 #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value) #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value) #ifdef __PYX_DEBUG_ATOMICS #warning "Using Intel atomics" #endif #else #undef CYTHON_ATOMICS #define CYTHON_ATOMICS 0 #ifdef __PYX_DEBUG_ATOMICS #warning "Not using atomics" #endif #endif typedef volatile __pyx_atomic_int_type __pyx_atomic_int; #if CYTHON_ATOMICS #define __pyx_add_acquisition_count(memview) \ __pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview) \ __pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock) #else #define __pyx_add_acquisition_count(memview) \ __pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #define __pyx_sub_acquisition_count(memview) \ __pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock) #endif /* "numpy.pxd":723 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t */ typedef npy_int8 __pyx_t_5numpy_int8_t; /* "numpy.pxd":724 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t */ typedef npy_int16 __pyx_t_5numpy_int16_t; /* "numpy.pxd":725 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< * ctypedef npy_int64 int64_t * #ctypedef npy_int96 int96_t */ typedef npy_int32 __pyx_t_5numpy_int32_t; /* "numpy.pxd":726 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< * #ctypedef npy_int96 int96_t * #ctypedef npy_int128 int128_t */ typedef npy_int64 __pyx_t_5numpy_int64_t; /* "numpy.pxd":730 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; /* "numpy.pxd":731 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; /* "numpy.pxd":732 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< * ctypedef npy_uint64 uint64_t * #ctypedef npy_uint96 uint96_t */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; /* "numpy.pxd":733 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< * #ctypedef npy_uint96 uint96_t * #ctypedef npy_uint128 uint128_t */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; /* "numpy.pxd":737 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< * ctypedef npy_float64 float64_t * #ctypedef npy_float80 float80_t */ typedef npy_float32 __pyx_t_5numpy_float32_t; /* "numpy.pxd":738 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< * #ctypedef npy_float80 float80_t * #ctypedef npy_float128 float128_t */ typedef npy_float64 __pyx_t_5numpy_float64_t; /* "numpy.pxd":747 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t */ typedef npy_long __pyx_t_5numpy_int_t; /* "numpy.pxd":748 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< * ctypedef npy_longlong longlong_t * */ typedef npy_longlong __pyx_t_5numpy_long_t; /* "numpy.pxd":749 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< * * ctypedef npy_ulong uint_t */ typedef npy_longlong __pyx_t_5numpy_longlong_t; /* "numpy.pxd":751 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t */ typedef npy_ulong __pyx_t_5numpy_uint_t; /* "numpy.pxd":752 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< * ctypedef npy_ulonglong ulonglong_t * */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; /* "numpy.pxd":753 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< * * ctypedef npy_intp intp_t */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; /* "numpy.pxd":755 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< * ctypedef npy_uintp uintp_t * */ typedef npy_intp __pyx_t_5numpy_intp_t; /* "numpy.pxd":756 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< * * ctypedef npy_double float_t */ typedef npy_uintp __pyx_t_5numpy_uintp_t; /* "numpy.pxd":758 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t */ typedef npy_double __pyx_t_5numpy_float_t; /* "numpy.pxd":759 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< * ctypedef npy_longdouble longdouble_t * */ typedef npy_double __pyx_t_5numpy_double_t; /* "numpy.pxd":760 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< * * ctypedef npy_cfloat cfloat_t */ typedef npy_longdouble __pyx_t_5numpy_longdouble_t; #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< float > __pyx_t_float_complex; #else typedef float _Complex __pyx_t_float_complex; #endif #else typedef struct { float real, imag; } __pyx_t_float_complex; #endif #if CYTHON_CCOMPLEX #ifdef __cplusplus typedef ::std::complex< double > __pyx_t_double_complex; #else typedef double _Complex __pyx_t_double_complex; #endif #else typedef struct { double real, imag; } __pyx_t_double_complex; #endif /*--- Type declarations ---*/ struct __pyx_memoryview_obj; struct __pyx_array_obj; struct __pyx_MemviewEnum_obj; struct __pyx_memoryviewslice_obj; /* "numpy.pxd":762 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; /* "numpy.pxd":763 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< * ctypedef npy_clongdouble clongdouble_t * */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; /* "numpy.pxd":764 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< * * ctypedef npy_cdouble complex_t */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; /* "numpy.pxd":766 * ctypedef npy_clongdouble clongdouble_t * * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew1(a): */ typedef npy_cdouble __pyx_t_5numpy_complex_t; /* "View.MemoryView":308 * * @cname('__pyx_memoryview') * cdef class memoryview(object): # <<<<<<<<<<<<<< * * cdef object obj */ struct __pyx_memoryview_obj { PyObject_HEAD struct __pyx_vtabstruct_memoryview *__pyx_vtab; PyObject *obj; PyObject *_size; PyObject *_array_interface; PyThread_type_lock lock; __pyx_atomic_int acquisition_count[2]; __pyx_atomic_int *acquisition_count_aligned_p; Py_buffer view; int flags; int dtype_is_object; __Pyx_TypeInfo *typeinfo; }; /* "View.MemoryView":96 * * @cname("__pyx_array") * cdef class array: # <<<<<<<<<<<<<< * * cdef: */ struct __pyx_array_obj { PyObject_HEAD char *data; Py_ssize_t len; char *format; int ndim; Py_ssize_t *_shape; Py_ssize_t *_strides; Py_ssize_t itemsize; PyObject *mode; PyObject *_format; void (*callback_free_data)(void *); int free_data; int dtype_is_object; }; /* "View.MemoryView":275 * * @cname('__pyx_MemviewEnum') * cdef class Enum(object): # <<<<<<<<<<<<<< * cdef object name * def __init__(self, name): */ struct __pyx_MemviewEnum_obj { PyObject_HEAD PyObject *name; }; /* "View.MemoryView":927 * * @cname('__pyx_memoryviewslice') * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< * "Internal class for passing memoryview slices to Python" * */ struct __pyx_memoryviewslice_obj { struct __pyx_memoryview_obj __pyx_base; __Pyx_memviewslice from_slice; PyObject *from_object; PyObject *(*to_object_func)(char *); int (*to_dtype_func)(char *, PyObject *); }; /* "View.MemoryView":308 * * @cname('__pyx_memoryview') * cdef class memoryview(object): # <<<<<<<<<<<<<< * * cdef object obj */ struct __pyx_vtabstruct_memoryview { char *(*get_item_pointer)(struct __pyx_memoryview_obj *, PyObject *); PyObject *(*is_slice)(struct __pyx_memoryview_obj *, PyObject *); PyObject *(*setitem_slice_assignment)(struct __pyx_memoryview_obj *, PyObject *, PyObject *); PyObject *(*setitem_slice_assign_scalar)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *); PyObject *(*setitem_indexed)(struct __pyx_memoryview_obj *, PyObject *, PyObject *); PyObject *(*convert_item_to_object)(struct __pyx_memoryview_obj *, char *); PyObject *(*assign_item_from_object)(struct __pyx_memoryview_obj *, char *, PyObject *); }; static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview; /* "View.MemoryView":927 * * @cname('__pyx_memoryviewslice') * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< * "Internal class for passing memoryview slices to Python" * */ struct __pyx_vtabstruct__memoryviewslice { struct __pyx_vtabstruct_memoryview __pyx_base; }; static struct __pyx_vtabstruct__memoryviewslice *__pyx_vtabptr__memoryviewslice; #ifndef CYTHON_REFNANNY #define CYTHON_REFNANNY 0 #endif #if CYTHON_REFNANNY typedef struct { void (*INCREF)(void*, PyObject*, int); void (*DECREF)(void*, PyObject*, int); void (*GOTREF)(void*, PyObject*, int); void (*GIVEREF)(void*, PyObject*, int); void* (*SetupContext)(const char*, int, const char*); void (*FinishContext)(void**); } __Pyx_RefNannyAPIStruct; static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL; static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname); /*proto*/ #define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL; #ifdef WITH_THREAD #define __Pyx_RefNannySetupContext(name, acquire_gil) \ if (acquire_gil) { \ PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); \ __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__); \ PyGILState_Release(__pyx_gilstate_save); \ } else { \ __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__); \ } #else #define __Pyx_RefNannySetupContext(name, acquire_gil) \ __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__) #endif #define __Pyx_RefNannyFinishContext() \ __Pyx_RefNanny->FinishContext(&__pyx_refnanny) #define __Pyx_INCREF(r) __Pyx_RefNanny->INCREF(__pyx_refnanny, (PyObject *)(r), __LINE__) #define __Pyx_DECREF(r) __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__) #define __Pyx_GOTREF(r) __Pyx_RefNanny->GOTREF(__pyx_refnanny, (PyObject *)(r), __LINE__) #define __Pyx_GIVEREF(r) __Pyx_RefNanny->GIVEREF(__pyx_refnanny, (PyObject *)(r), __LINE__) #define __Pyx_XINCREF(r) do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0) #define __Pyx_XDECREF(r) do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0) #define __Pyx_XGOTREF(r) do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0) #define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0) #else #define __Pyx_RefNannyDeclarations #define __Pyx_RefNannySetupContext(name, acquire_gil) #define __Pyx_RefNannyFinishContext() #define __Pyx_INCREF(r) Py_INCREF(r) #define __Pyx_DECREF(r) Py_DECREF(r) #define __Pyx_GOTREF(r) #define __Pyx_GIVEREF(r) #define __Pyx_XINCREF(r) Py_XINCREF(r) #define __Pyx_XDECREF(r) Py_XDECREF(r) #define __Pyx_XGOTREF(r) #define __Pyx_XGIVEREF(r) #endif /* CYTHON_REFNANNY */ #define __Pyx_XDECREF_SET(r, v) do { \ PyObject *tmp = (PyObject *) r; \ r = v; __Pyx_XDECREF(tmp); \ } while (0) #define __Pyx_DECREF_SET(r, v) do { \ PyObject *tmp = (PyObject *) r; \ r = v; __Pyx_DECREF(tmp); \ } while (0) #define __Pyx_CLEAR(r) do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0) #define __Pyx_XCLEAR(r) do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0) #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) { PyTypeObject* tp = Py_TYPE(obj); if (likely(tp->tp_getattro)) return tp->tp_getattro(obj, attr_name); #if PY_MAJOR_VERSION < 3 if (likely(tp->tp_getattr)) return tp->tp_getattr(obj, PyString_AS_STRING(attr_name)); #endif return PyObject_GetAttr(obj, attr_name); } #else #define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n) #endif static PyObject *__Pyx_GetBuiltinName(PyObject *name); /*proto*/ static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact, Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found); /*proto*/ static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name); /*proto*/ static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[], \ PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, \ const char* function_name); /*proto*/ static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed, const char *name, int exact); /*proto*/ static CYTHON_INLINE int __Pyx_GetBufferAndValidate(Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack); static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info); static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name); /*proto*/ #define __Pyx_GetItemInt(o, i, size, to_py_func, is_list, wraparound, boundscheck) \ (((size) <= sizeof(Py_ssize_t)) ? \ __Pyx_GetItemInt_Fast(o, i, is_list, wraparound, boundscheck) : \ __Pyx_GetItemInt_Generic(o, to_py_func(i))) #define __Pyx_GetItemInt_List(o, i, size, to_py_func, is_list, wraparound, boundscheck) \ (((size) <= sizeof(Py_ssize_t)) ? \ __Pyx_GetItemInt_List_Fast(o, i, wraparound, boundscheck) : \ __Pyx_GetItemInt_Generic(o, to_py_func(i))) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); #define __Pyx_GetItemInt_Tuple(o, i, size, to_py_func, is_list, wraparound, boundscheck) \ (((size) <= sizeof(Py_ssize_t)) ? \ __Pyx_GetItemInt_Tuple_Fast(o, i, wraparound, boundscheck) : \ __Pyx_GetItemInt_Generic(o, to_py_func(i))) static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, int wraparound, int boundscheck); static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb); /*proto*/ static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb); /*proto*/ static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); /*proto*/ #define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d #define __Pyx_MEMVIEW_DIRECT 1 #define __Pyx_MEMVIEW_PTR 2 #define __Pyx_MEMVIEW_FULL 4 #define __Pyx_MEMVIEW_CONTIG 8 #define __Pyx_MEMVIEW_STRIDED 16 #define __Pyx_MEMVIEW_FOLLOW 32 #define __Pyx_IS_C_CONTIG 1 #define __Pyx_IS_F_CONTIG 2 static int __Pyx_init_memviewslice( struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference); static CYTHON_INLINE int __pyx_add_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); static CYTHON_INLINE int __pyx_sub_acquisition_count_locked( __pyx_atomic_int *acquisition_count, PyThread_type_lock lock); #define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p) #define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview)) #define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__) #define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__) static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int); static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int); static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); static CYTHON_INLINE int __Pyx_IterFinish(void); /*proto*/ static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected); /*proto*/ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); /*proto*/ static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *); /*proto*/ static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *); /*proto*/ static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t); /* proto */ #ifndef __PYX_FORCE_INIT_THREADS #define __PYX_FORCE_INIT_THREADS 0 #endif #define UNARY_NEG_WOULD_OVERFLOW(x) (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x))) static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals); /*proto*/ static PyObject *get_memview(PyObject *__pyx_v_self); /*proto*/ static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)); #include static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); /*proto*/ static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static PyObject *__pyx_memoryview_transpose(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview__get__base(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_shape(PyObject *__pyx_v_self); /*proto*/ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len)) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) #endif static PyObject *__pyx_memoryview_get_strides(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_suboffsets(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_ndim(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_itemsize(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_nbytes(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_size(PyObject *__pyx_v_self); /*proto*/ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) { PyListObject* L = (PyListObject*) list; Py_ssize_t len = Py_SIZE(list); if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) { Py_INCREF(x); PyList_SET_ITEM(list, len, x); Py_SIZE(list) = len+1; return 0; } return PyList_Append(list, x); } #else #define __Pyx_PyList_Append(L,x) PyList_Append(L,x) #endif static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname); static CYTHON_INLINE long __Pyx_div_long(long, long); /* proto */ static PyObject *__pyx_memoryviewslice__get__base(PyObject *__pyx_v_self); /*proto*/ static void __Pyx_WriteUnraisable(const char *name, int clineno, int lineno, const char *filename); /*proto*/ static int __Pyx_SetVtable(PyObject *dict, void *vtable); /*proto*/ typedef struct { Py_ssize_t shape, strides, suboffsets; } __Pyx_Buf_DimInfo; typedef struct { size_t refcount; Py_buffer pybuffer; } __Pyx_Buffer; typedef struct { __Pyx_Buffer *rcbuffer; char *data; __Pyx_Buf_DimInfo diminfo[8]; } __Pyx_LocalBuf_ND; #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); static void __Pyx_ReleaseBuffer(Py_buffer *view); #else #define __Pyx_GetBuffer PyObject_GetBuffer #define __Pyx_ReleaseBuffer PyBuffer_Release #endif static Py_ssize_t __Pyx_zeros[] = {0, 0, 0, 0, 0, 0, 0, 0}; static Py_ssize_t __Pyx_minusones[] = {-1, -1, -1, -1, -1, -1, -1, -1}; static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level); /*proto*/ #if CYTHON_CCOMPLEX #ifdef __cplusplus #define __Pyx_CREAL(z) ((z).real()) #define __Pyx_CIMAG(z) ((z).imag()) #else #define __Pyx_CREAL(z) (__real__(z)) #define __Pyx_CIMAG(z) (__imag__(z)) #endif #else #define __Pyx_CREAL(z) ((z).real) #define __Pyx_CIMAG(z) ((z).imag) #endif #if defined(_WIN32) && defined(__cplusplus) && CYTHON_CCOMPLEX #define __Pyx_SET_CREAL(z,x) ((z).real(x)) #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) #else #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) #endif static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float); #if CYTHON_CCOMPLEX #define __Pyx_c_eqf(a, b) ((a)==(b)) #define __Pyx_c_sumf(a, b) ((a)+(b)) #define __Pyx_c_difff(a, b) ((a)-(b)) #define __Pyx_c_prodf(a, b) ((a)*(b)) #define __Pyx_c_quotf(a, b) ((a)/(b)) #define __Pyx_c_negf(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zerof(z) ((z)==(float)0) #define __Pyx_c_conjf(z) (::std::conj(z)) #if 1 #define __Pyx_c_absf(z) (::std::abs(z)) #define __Pyx_c_powf(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zerof(z) ((z)==0) #define __Pyx_c_conjf(z) (conjf(z)) #if 1 #define __Pyx_c_absf(z) (cabsf(z)) #define __Pyx_c_powf(a, b) (cpowf(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex, __pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex); static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex); #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex); static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex, __pyx_t_float_complex); #endif #endif static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double); #if CYTHON_CCOMPLEX #define __Pyx_c_eq(a, b) ((a)==(b)) #define __Pyx_c_sum(a, b) ((a)+(b)) #define __Pyx_c_diff(a, b) ((a)-(b)) #define __Pyx_c_prod(a, b) ((a)*(b)) #define __Pyx_c_quot(a, b) ((a)/(b)) #define __Pyx_c_neg(a) (-(a)) #ifdef __cplusplus #define __Pyx_c_is_zero(z) ((z)==(double)0) #define __Pyx_c_conj(z) (::std::conj(z)) #if 1 #define __Pyx_c_abs(z) (::std::abs(z)) #define __Pyx_c_pow(a, b) (::std::pow(a, b)) #endif #else #define __Pyx_c_is_zero(z) ((z)==0) #define __Pyx_c_conj(z) (conj(z)) #if 1 #define __Pyx_c_abs(z) (cabs(z)) #define __Pyx_c_pow(a, b) (cpow(a, b)) #endif #endif #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex, __pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex); static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex); #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex); static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex, __pyx_t_double_complex); #endif #endif static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice *mvs, char order, int ndim); static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize); static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object); static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig); static CYTHON_INLINE void __Pyx_ExceptionSave(PyObject **type, PyObject **value, PyObject **tb); /*proto*/ static void __Pyx_ExceptionReset(PyObject *type, PyObject *value, PyObject *tb); /*proto*/ static CYTHON_INLINE unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject *); static CYTHON_INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject *); static CYTHON_INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject *); static CYTHON_INLINE char __Pyx_PyInt_AsChar(PyObject *); static CYTHON_INLINE short __Pyx_PyInt_AsShort(PyObject *); static CYTHON_INLINE int __Pyx_PyInt_AsInt(PyObject *); static CYTHON_INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject *); static CYTHON_INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject *); static CYTHON_INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject *); static CYTHON_INLINE int __Pyx_PyInt_AsLongDouble(PyObject *); static CYTHON_INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject *); static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject *); static CYTHON_INLINE long __Pyx_PyInt_AsLong(PyObject *); static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject *); static CYTHON_INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject *); static CYTHON_INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject *); static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b); static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj); static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_nn_coordT(PyObject *); static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_unsigned_int(PyObject *); static int __Pyx_check_binary_version(void); #if !defined(__Pyx_PyIdentifier_FromString) #if PY_MAJOR_VERSION < 3 #define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s) #else #define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s) #endif #endif static PyObject *__Pyx_ImportModule(const char *name); /*proto*/ static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict); /*proto*/ typedef struct { int code_line; PyCodeObject* code_object; } __Pyx_CodeObjectCacheEntry; struct __Pyx_CodeObjectCache { int count; int max_count; __Pyx_CodeObjectCacheEntry* entries; }; static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); static PyCodeObject *__pyx_find_code_object(int code_line); static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename); /*proto*/ static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); /*proto*/ /* Module declarations from 'cython.view' */ /* Module declarations from 'cython' */ /* Module declarations from 'cpython.buffer' */ /* Module declarations from 'cpython.ref' */ /* Module declarations from 'libc.string' */ /* Module declarations from 'libc.stdio' */ /* Module declarations from 'cpython.object' */ /* Module declarations from '__builtin__' */ /* Module declarations from 'cpython.type' */ static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0; /* Module declarations from 'libc.stdlib' */ /* Module declarations from 'numpy' */ /* Module declarations from 'numpy' */ static PyTypeObject *__pyx_ptype_5numpy_dtype = 0; static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0; static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0; static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0; static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0; static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/ /* Module declarations from 'qhull' */ /* Module declarations from '_qhull64' */ static PyTypeObject *__pyx_memoryview_type = 0; static PyTypeObject *__pyx_array_type = 0; static PyTypeObject *__pyx_MemviewEnum_type = 0; static PyTypeObject *__pyx_memoryviewslice_type = 0; static PyObject *generic = 0; static PyObject *strided = 0; static PyObject *indirect = 0; static PyObject *contiguous = 0; static PyObject *indirect_contiguous = 0; static unsigned int __pyx_f_8_qhull64_nbDelaunayFacets(void); /*proto*/ static void __pyx_f_8_qhull64_setDelaunayIndices(__Pyx_memviewslice); /*proto*/ static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ static void *__pyx_align_pointer(void *, size_t); /*proto*/ static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/ static PyObject *_unellipsify(PyObject *, int); /*proto*/ static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/ static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, int); /*proto*/ static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/ static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/ static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/ static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/ static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/ static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/ static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/ static int __pyx_memoryview_err(PyObject *, char *); /*proto*/ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/ static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/ static __Pyx_TypeInfo __Pyx_TypeInfo_nn_realT = { "realT", NULL, sizeof(realT), { 0 }, 0, 'R', 0, 0 }; static __Pyx_TypeInfo __Pyx_TypeInfo_nn_coordT = { "coordT", NULL, sizeof(coordT), { 0 }, 0, 'R', 0, 0 }; static __Pyx_TypeInfo __Pyx_TypeInfo_unsigned_int = { "unsigned int", NULL, sizeof(unsigned int), { 0 }, 0, IS_UNSIGNED(unsigned int) ? 'U' : 'I', IS_UNSIGNED(unsigned int), 0 }; #define __Pyx_MODULE_NAME "_qhull64" int __pyx_module_is_main__qhull64 = 0; /* Implementation of '_qhull64' */ static PyObject *__pyx_builtin_RuntimeError; static PyObject *__pyx_builtin_ArithmeticError; static PyObject *__pyx_builtin_MemoryError; static PyObject *__pyx_builtin_range; static PyObject *__pyx_builtin_ValueError; static PyObject *__pyx_builtin_enumerate; static PyObject *__pyx_builtin_Ellipsis; static PyObject *__pyx_builtin_TypeError; static PyObject *__pyx_builtin_xrange; static PyObject *__pyx_builtin_id; static PyObject *__pyx_builtin_IndexError; static PyObject *__pyx_pf_8_qhull64_delaunay(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_points, PyObject *__pyx_v_command); /* proto */ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */ static int __pyx_array_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */ static int __pyx_array_getbuffer_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static void __pyx_array_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */ static PyObject *get_memview_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_array_MemoryView_5array_6__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */ static PyObject *__pyx_array_MemoryView_5array_8__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */ static int __pyx_array_MemoryView_5array_10__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */ static int __pyx_MemviewEnum_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */ static PyObject *__pyx_MemviewEnum_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */ static int __pyx_memoryview_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object); /* proto */ static void __pyx_memoryview_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */ static int __pyx_memoryview_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */ static int __pyx_memoryview_getbuffer_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */ static PyObject *__pyx_memoryview_transpose_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview__get__base_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_shape_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_strides_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_suboffsets_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_ndim_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_itemsize_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_nbytes_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_get_size_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static Py_ssize_t __pyx_memoryview_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */ static void __pyx_memoryviewslice_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_memoryviewslice__get__base_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */ static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ static char __pyx_k_2[] = "ndarray is not C contiguous"; static char __pyx_k_4[] = "ndarray is not Fortran contiguous"; static char __pyx_k_6[] = "Non-native byte order not supported"; static char __pyx_k_8[] = "unknown dtype code in numpy.pxd (%d)"; static char __pyx_k_9[] = "Format string allocated too short, see comment in numpy.pxd"; static char __pyx_k_12[] = "Format string allocated too short."; static char __pyx_k_14[] = "Empty shape tuple for cython.array"; static char __pyx_k_16[] = "itemsize <= 0 for cython.array"; static char __pyx_k_19[] = "unable to allocate shape or strides."; static char __pyx_k_21[] = "Invalid shape in axis %d: %d."; static char __pyx_k_22[] = "Invalid mode, expected 'c' or 'fortran', got %s"; static char __pyx_k_24[] = "unable to allocate array data."; static char __pyx_k_26[] = "Can only create a buffer that is contiguous in memory."; static char __pyx_k_28[] = "Unable to convert item to object"; static char __pyx_k_30[] = "Buffer view does not expose strides"; static char __pyx_k_32[] = ""; static char __pyx_k_33[] = ""; static char __pyx_k_36[] = "Cannot index with type '%s'"; static char __pyx_k_38[] = "Indirect dimensions not supported"; static char __pyx_k_40[] = "Index out of bounds (axis %d)"; static char __pyx_k_41[] = "Step may not be zero (axis %d)"; static char __pyx_k_42[] = "All dimensions preceding dimension %d must be indexed and not sliced"; static char __pyx_k_43[] = "Out of bounds on buffer access (axis %d)"; static char __pyx_k_44[] = "Cannot transpose memoryview with indirect dimensions"; static char __pyx_k_45[] = "got differing extents in dimension %d (got %d and %d)"; static char __pyx_k_46[] = "Dimension %d is not direct"; static char __pyx_k_47[] = "qhull input inconsistency"; static char __pyx_k_49[] = "qhull singluar input data"; static char __pyx_k_51[] = "qhull precision error"; static char __pyx_k_53[] = "qhull insufficient memory"; static char __pyx_k_55[] = "qhull internal error"; static char __pyx_k_59[] = "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi"; static char __pyx_k_60[] = "getbuffer(obj, view, flags)"; static char __pyx_k_61[] = ""; static char __pyx_k_63[] = ""; static char __pyx_k_65[] = ""; static char __pyx_k_67[] = ""; static char __pyx_k_69[] = ""; static char __pyx_k__B[] = "B"; static char __pyx_k__H[] = "H"; static char __pyx_k__I[] = "I"; static char __pyx_k__L[] = "L"; static char __pyx_k__O[] = "O"; static char __pyx_k__Q[] = "Q"; static char __pyx_k__b[] = "b"; static char __pyx_k__c[] = "c"; static char __pyx_k__d[] = "d"; static char __pyx_k__f[] = "f"; static char __pyx_k__g[] = "g"; static char __pyx_k__h[] = "h"; static char __pyx_k__i[] = "i"; static char __pyx_k__l[] = "l"; static char __pyx_k__q[] = "q"; static char __pyx_k__Zd[] = "Zd"; static char __pyx_k__Zf[] = "Zf"; static char __pyx_k__Zg[] = "Zg"; static char __pyx_k__id[] = "id"; static char __pyx_k__obj[] = "obj"; static char __pyx_k__Lock[] = "Lock"; static char __pyx_k__base[] = "base"; static char __pyx_k__mode[] = "mode"; static char __pyx_k__name[] = "name"; static char __pyx_k__ndim[] = "ndim"; static char __pyx_k__pack[] = "pack"; static char __pyx_k__size[] = "size"; static char __pyx_k__step[] = "step"; static char __pyx_k__stop[] = "stop"; static char __pyx_k__ASCII[] = "ASCII"; static char __pyx_k__array[] = "array"; static char __pyx_k__dtype[] = "dtype"; static char __pyx_k__empty[] = "empty"; static char __pyx_k__error[] = "error"; static char __pyx_k__flags[] = "flags"; static char __pyx_k__numpy[] = "numpy"; static char __pyx_k__range[] = "range"; static char __pyx_k__ravel[] = "ravel"; static char __pyx_k__shape[] = "shape"; static char __pyx_k__start[] = "start"; static char __pyx_k__decode[] = "decode"; static char __pyx_k__encode[] = "encode"; static char __pyx_k__extend[] = "extend"; static char __pyx_k__format[] = "format"; static char __pyx_k__points[] = "points"; static char __pyx_k__result[] = "result"; static char __pyx_k__struct[] = "struct"; static char __pyx_k__uint32[] = "uint32"; static char __pyx_k__unpack[] = "unpack"; static char __pyx_k__xrange[] = "xrange"; static char __pyx_k___errors[] = "_errors"; static char __pyx_k__command[] = "command"; static char __pyx_k__fortran[] = "fortran"; static char __pyx_k__indices[] = "indices"; static char __pyx_k__memview[] = "memview"; static char __pyx_k__Ellipsis[] = "Ellipsis"; static char __pyx_k____main__[] = "__main__"; static char __pyx_k____name__[] = "__name__"; static char __pyx_k____test__[] = "__test__"; static char __pyx_k___qhull64[] = "_qhull64"; static char __pyx_k__c_points[] = "c_points"; static char __pyx_k__delaunay[] = "delaunay"; static char __pyx_k__itemsize[] = "itemsize"; static char __pyx_k__nbFacets[] = "nbFacets"; static char __pyx_k__TypeError[] = "TypeError"; static char __pyx_k____class__[] = "__class__"; static char __pyx_k__c_command[] = "c_command"; static char __pyx_k__c_indices[] = "c_indices"; static char __pyx_k__dimension[] = "dimension"; static char __pyx_k__enumerate[] = "enumerate"; static char __pyx_k__threading[] = "threading"; static char __pyx_k__IndexError[] = "IndexError"; static char __pyx_k__ValueError[] = "ValueError"; static char __pyx_k____import__[] = "__import__"; static char __pyx_k__MemoryError[] = "MemoryError"; static char __pyx_k____version__[] = "__version__"; static char __pyx_k___qhull_lock[] = "_qhull_lock"; static char __pyx_k__RuntimeError[] = "RuntimeError"; static char __pyx_k____pyx_vtable__[] = "__pyx_vtable__"; static char __pyx_k__ArithmeticError[] = "ArithmeticError"; static char __pyx_k____pyx_getbuffer[] = "__pyx_getbuffer"; static char __pyx_k__allocate_buffer[] = "allocate_buffer"; static char __pyx_k__dtype_is_object[] = "dtype_is_object"; static char __pyx_k____pyx_releasebuffer[] = "__pyx_releasebuffer"; static PyObject *__pyx_kp_u_12; static PyObject *__pyx_kp_s_14; static PyObject *__pyx_kp_s_16; static PyObject *__pyx_kp_s_19; static PyObject *__pyx_kp_u_2; static PyObject *__pyx_kp_s_21; static PyObject *__pyx_kp_s_22; static PyObject *__pyx_kp_s_24; static PyObject *__pyx_kp_s_26; static PyObject *__pyx_kp_s_28; static PyObject *__pyx_kp_s_30; static PyObject *__pyx_kp_s_32; static PyObject *__pyx_kp_s_33; static PyObject *__pyx_kp_s_36; static PyObject *__pyx_kp_s_38; static PyObject *__pyx_kp_u_4; static PyObject *__pyx_kp_s_43; static PyObject *__pyx_kp_s_45; static PyObject *__pyx_kp_s_47; static PyObject *__pyx_kp_s_49; static PyObject *__pyx_kp_s_51; static PyObject *__pyx_kp_s_53; static PyObject *__pyx_kp_s_55; static PyObject *__pyx_kp_s_59; static PyObject *__pyx_kp_u_6; static PyObject *__pyx_kp_s_61; static PyObject *__pyx_kp_s_63; static PyObject *__pyx_kp_s_65; static PyObject *__pyx_kp_s_67; static PyObject *__pyx_kp_s_69; static PyObject *__pyx_kp_u_8; static PyObject *__pyx_kp_u_9; static PyObject *__pyx_n_s__ASCII; static PyObject *__pyx_n_s__ArithmeticError; static PyObject *__pyx_n_s__Ellipsis; static PyObject *__pyx_n_s__IndexError; static PyObject *__pyx_n_s__Lock; static PyObject *__pyx_n_s__MemoryError; static PyObject *__pyx_n_b__O; static PyObject *__pyx_n_s__RuntimeError; static PyObject *__pyx_n_s__TypeError; static PyObject *__pyx_n_s__ValueError; static PyObject *__pyx_n_s____class__; static PyObject *__pyx_n_s____import__; static PyObject *__pyx_n_s____main__; static PyObject *__pyx_n_s____name__; static PyObject *__pyx_n_s____pyx_getbuffer; static PyObject *__pyx_n_s____pyx_releasebuffer; static PyObject *__pyx_n_s____pyx_vtable__; static PyObject *__pyx_n_s____test__; static PyObject *__pyx_n_s____version__; static PyObject *__pyx_n_s___errors; static PyObject *__pyx_n_s___qhull64; static PyObject *__pyx_n_s___qhull_lock; static PyObject *__pyx_n_s__allocate_buffer; static PyObject *__pyx_n_s__array; static PyObject *__pyx_n_s__base; static PyObject *__pyx_n_b__c; static PyObject *__pyx_n_s__c; static PyObject *__pyx_n_u__c; static PyObject *__pyx_n_s__c_command; static PyObject *__pyx_n_s__c_indices; static PyObject *__pyx_n_s__c_points; static PyObject *__pyx_n_s__command; static PyObject *__pyx_n_s__decode; static PyObject *__pyx_n_s__delaunay; static PyObject *__pyx_n_s__dimension; static PyObject *__pyx_n_s__dtype; static PyObject *__pyx_n_s__dtype_is_object; static PyObject *__pyx_n_s__empty; static PyObject *__pyx_n_s__encode; static PyObject *__pyx_n_s__enumerate; static PyObject *__pyx_n_s__error; static PyObject *__pyx_n_s__extend; static PyObject *__pyx_n_s__flags; static PyObject *__pyx_n_s__format; static PyObject *__pyx_n_b__fortran; static PyObject *__pyx_n_s__fortran; static PyObject *__pyx_n_s__id; static PyObject *__pyx_n_s__indices; static PyObject *__pyx_n_s__itemsize; static PyObject *__pyx_n_s__memview; static PyObject *__pyx_n_s__mode; static PyObject *__pyx_n_s__name; static PyObject *__pyx_n_s__nbFacets; static PyObject *__pyx_n_s__ndim; static PyObject *__pyx_n_s__numpy; static PyObject *__pyx_n_s__obj; static PyObject *__pyx_n_s__pack; static PyObject *__pyx_n_s__points; static PyObject *__pyx_n_s__range; static PyObject *__pyx_n_s__ravel; static PyObject *__pyx_n_s__result; static PyObject *__pyx_n_s__shape; static PyObject *__pyx_n_s__size; static PyObject *__pyx_n_s__start; static PyObject *__pyx_n_s__step; static PyObject *__pyx_n_s__stop; static PyObject *__pyx_n_s__struct; static PyObject *__pyx_n_s__threading; static PyObject *__pyx_n_s__uint32; static PyObject *__pyx_n_s__unpack; static PyObject *__pyx_n_s__xrange; static PyObject *__pyx_int_0; static PyObject *__pyx_int_1; static PyObject *__pyx_int_neg_1; static PyObject *__pyx_int_15; static PyObject *__pyx_k_tuple_1; static PyObject *__pyx_k_tuple_3; static PyObject *__pyx_k_tuple_5; static PyObject *__pyx_k_tuple_7; static PyObject *__pyx_k_tuple_10; static PyObject *__pyx_k_tuple_11; static PyObject *__pyx_k_tuple_13; static PyObject *__pyx_k_tuple_15; static PyObject *__pyx_k_tuple_17; static PyObject *__pyx_k_tuple_18; static PyObject *__pyx_k_tuple_20; static PyObject *__pyx_k_tuple_23; static PyObject *__pyx_k_tuple_25; static PyObject *__pyx_k_tuple_27; static PyObject *__pyx_k_tuple_29; static PyObject *__pyx_k_tuple_31; static PyObject *__pyx_k_tuple_34; static PyObject *__pyx_k_tuple_35; static PyObject *__pyx_k_tuple_37; static PyObject *__pyx_k_tuple_39; static PyObject *__pyx_k_tuple_48; static PyObject *__pyx_k_tuple_50; static PyObject *__pyx_k_tuple_52; static PyObject *__pyx_k_tuple_54; static PyObject *__pyx_k_tuple_56; static PyObject *__pyx_k_tuple_57; static PyObject *__pyx_k_tuple_62; static PyObject *__pyx_k_tuple_64; static PyObject *__pyx_k_tuple_66; static PyObject *__pyx_k_tuple_68; static PyObject *__pyx_k_tuple_70; static PyObject *__pyx_k_codeobj_58; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":64 * * * cdef unsigned int nbDelaunayFacets(): # <<<<<<<<<<<<<< * # Corresponding C code: * # unsigned int get_num_delaunay_facets(void) { */ static unsigned int __pyx_f_8_qhull64_nbDelaunayFacets(void) { facetT *__pyx_v_facet; unsigned int __pyx_v_nbFacets; unsigned int __pyx_r; __Pyx_RefNannyDeclarations facetT *__pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; __Pyx_RefNannySetupContext("nbDelaunayFacets", 0); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":77 * # } * cdef _qhull.facetT * facet * cdef unsigned int nbFacets = 0 # <<<<<<<<<<<<<< * * # FORALLfacets */ __pyx_v_nbFacets = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":80 * * # FORALLfacets * facet = _qhull.qh_qh.facet_list # <<<<<<<<<<<<<< * while facet != NULL and facet.next != NULL: * if not facet.upperdelaunay: */ __pyx_t_1 = qh_qh.facet_list; __pyx_v_facet = __pyx_t_1; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":81 * # FORALLfacets * facet = _qhull.qh_qh.facet_list * while facet != NULL and facet.next != NULL: # <<<<<<<<<<<<<< * if not facet.upperdelaunay: * nbFacets += 1 */ while (1) { __pyx_t_2 = ((__pyx_v_facet != NULL) != 0); if (__pyx_t_2) { __pyx_t_3 = ((__pyx_v_facet->next != NULL) != 0); __pyx_t_4 = __pyx_t_3; } else { __pyx_t_4 = __pyx_t_2; } if (!__pyx_t_4) break; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":82 * facet = _qhull.qh_qh.facet_list * while facet != NULL and facet.next != NULL: * if not facet.upperdelaunay: # <<<<<<<<<<<<<< * nbFacets += 1 * facet = facet.next */ __pyx_t_4 = ((!(__pyx_v_facet->upperdelaunay != 0)) != 0); if (__pyx_t_4) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":83 * while facet != NULL and facet.next != NULL: * if not facet.upperdelaunay: * nbFacets += 1 # <<<<<<<<<<<<<< * facet = facet.next * */ __pyx_v_nbFacets = (__pyx_v_nbFacets + 1); goto __pyx_L5; } __pyx_L5:; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":84 * if not facet.upperdelaunay: * nbFacets += 1 * facet = facet.next # <<<<<<<<<<<<<< * * return nbFacets */ __pyx_t_1 = __pyx_v_facet->next; __pyx_v_facet = __pyx_t_1; } /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":86 * facet = facet.next * * return nbFacets # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_nbFacets; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":91 * @cython.boundscheck(False) * @cython.wraparound(False) * cdef void setDelaunayIndices(unsigned int[:] c_indices): # <<<<<<<<<<<<<< * # Corresponding C code * # void set_delaunay_indices(unsigned int * indices) { */ static void __pyx_f_8_qhull64_setDelaunayIndices(__Pyx_memviewslice __pyx_v_c_indices) { facetT *__pyx_v_facet; vertexT *__pyx_v_vertex; unsigned int __pyx_v_indicesIndex; unsigned int __pyx_v_setIndex; __Pyx_RefNannyDeclarations facetT *__pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; int __pyx_t_5; unsigned int __pyx_t_6; unsigned int __pyx_t_7; __Pyx_RefNannySetupContext("setDelaunayIndices", 0); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":106 * cdef _qhull.facetT * facet * cdef _qhull.vertexT * vertex * cdef unsigned int indicesIndex = 0 # <<<<<<<<<<<<<< * cdef unsigned int setIndex * */ __pyx_v_indicesIndex = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":110 * * # FORALLfacets * facet = _qhull.qh_qh.facet_list # <<<<<<<<<<<<<< * while facet != NULL and facet.next != NULL: * if not facet.upperdelaunay: */ __pyx_t_1 = qh_qh.facet_list; __pyx_v_facet = __pyx_t_1; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":111 * # FORALLfacets * facet = _qhull.qh_qh.facet_list * while facet != NULL and facet.next != NULL: # <<<<<<<<<<<<<< * if not facet.upperdelaunay: * # FOREACHvertex_ */ while (1) { __pyx_t_2 = ((__pyx_v_facet != NULL) != 0); if (__pyx_t_2) { __pyx_t_3 = ((__pyx_v_facet->next != NULL) != 0); __pyx_t_4 = __pyx_t_3; } else { __pyx_t_4 = __pyx_t_2; } if (!__pyx_t_4) break; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":112 * facet = _qhull.qh_qh.facet_list * while facet != NULL and facet.next != NULL: * if not facet.upperdelaunay: # <<<<<<<<<<<<<< * # FOREACHvertex_ * if facet.vertices != NULL: */ __pyx_t_4 = ((!(__pyx_v_facet->upperdelaunay != 0)) != 0); if (__pyx_t_4) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":114 * if not facet.upperdelaunay: * # FOREACHvertex_ * if facet.vertices != NULL: # <<<<<<<<<<<<<< * for setIndex in range(facet.vertices.maxsize): * vertex = <_qhull.vertexT *>(facet.vertices.e[setIndex].p) */ __pyx_t_4 = ((__pyx_v_facet->vertices != NULL) != 0); if (__pyx_t_4) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":115 * # FOREACHvertex_ * if facet.vertices != NULL: * for setIndex in range(facet.vertices.maxsize): # <<<<<<<<<<<<<< * vertex = <_qhull.vertexT *>(facet.vertices.e[setIndex].p) * if vertex == NULL: */ __pyx_t_5 = __pyx_v_facet->vertices->maxsize; for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_setIndex = __pyx_t_6; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":116 * if facet.vertices != NULL: * for setIndex in range(facet.vertices.maxsize): * vertex = <_qhull.vertexT *>(facet.vertices.e[setIndex].p) # <<<<<<<<<<<<<< * if vertex == NULL: * break */ __pyx_v_vertex = ((vertexT *)(__pyx_v_facet->vertices->e[__pyx_v_setIndex]).p); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":117 * for setIndex in range(facet.vertices.maxsize): * vertex = <_qhull.vertexT *>(facet.vertices.e[setIndex].p) * if vertex == NULL: # <<<<<<<<<<<<<< * break * c_indices[indicesIndex] = _qhull.qh_pointid(vertex.point) */ __pyx_t_4 = ((__pyx_v_vertex == NULL) != 0); if (__pyx_t_4) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":118 * vertex = <_qhull.vertexT *>(facet.vertices.e[setIndex].p) * if vertex == NULL: * break # <<<<<<<<<<<<<< * c_indices[indicesIndex] = _qhull.qh_pointid(vertex.point) * indicesIndex += 1 */ goto __pyx_L8_break; goto __pyx_L9; } __pyx_L9:; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":119 * if vertex == NULL: * break * c_indices[indicesIndex] = _qhull.qh_pointid(vertex.point) # <<<<<<<<<<<<<< * indicesIndex += 1 * facet = facet.next */ __pyx_t_7 = __pyx_v_indicesIndex; *((unsigned int *) ( /* dim=0 */ (__pyx_v_c_indices.data + __pyx_t_7 * __pyx_v_c_indices.strides[0]) )) = qh_pointid(__pyx_v_vertex->point); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":120 * break * c_indices[indicesIndex] = _qhull.qh_pointid(vertex.point) * indicesIndex += 1 # <<<<<<<<<<<<<< * facet = facet.next * */ __pyx_v_indicesIndex = (__pyx_v_indicesIndex + 1); } __pyx_L8_break:; goto __pyx_L6; } __pyx_L6:; goto __pyx_L5; } __pyx_L5:; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":121 * c_indices[indicesIndex] = _qhull.qh_pointid(vertex.point) * indicesIndex += 1 * facet = facet.next # <<<<<<<<<<<<<< * * # Avoid concurrent use of the qhull library */ __pyx_t_1 = __pyx_v_facet->next; __pyx_v_facet = __pyx_t_1; } __Pyx_RefNannyFinishContext(); } /* Python wrapper */ static PyObject *__pyx_pw_8_qhull64_1delaunay(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ static char __pyx_doc_8_qhull64_delaunay[] = "Delaunay triangulation using qhull library.\n\n :param points: numpy.ndarray of points to triangulate.\n Array must be of dimension 2.\n The second dimension being the dimension of the space.\n :param str command: 'qhull d' command to run\n :returns: Index of simplex facets corners.\n :rtype: numpy.ndarray of uint32 of dimension: nbFacets x (points dim + 1).\n "; static PyMethodDef __pyx_mdef_8_qhull64_1delaunay = {__Pyx_NAMESTR("delaunay"), (PyCFunction)__pyx_pw_8_qhull64_1delaunay, METH_VARARGS|METH_KEYWORDS, __Pyx_DOCSTR(__pyx_doc_8_qhull64_delaunay)}; static PyObject *__pyx_pw_8_qhull64_1delaunay(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyArrayObject *__pyx_v_points = 0; PyObject *__pyx_v_command = 0; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("delaunay (wrapper)", 0); { static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__points,&__pyx_n_s__command,0}; PyObject* values[2] = {0,0}; if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = PyDict_Size(__pyx_kwds); switch (pos_args) { case 0: if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__points)) != 0)) kw_args--; else goto __pyx_L5_argtuple_error; case 1: if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__command)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("delaunay", 1, 2, 2, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } if (unlikely(kw_args > 0)) { if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "delaunay") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } else if (PyTuple_GET_SIZE(__pyx_args) != 2) { goto __pyx_L5_argtuple_error; } else { values[0] = PyTuple_GET_ITEM(__pyx_args, 0); values[1] = PyTuple_GET_ITEM(__pyx_args, 1); } __pyx_v_points = ((PyArrayObject *)values[0]); __pyx_v_command = values[1]; } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("delaunay", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("_qhull64.delaunay", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return NULL; __pyx_L4_argument_unpacking_done:; if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_points), __pyx_ptype_5numpy_ndarray, 1, "points", 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = __pyx_pf_8_qhull64_delaunay(__pyx_self, __pyx_v_points, __pyx_v_command); goto __pyx_L0; __pyx_L1_error:; __pyx_r = NULL; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":128 * @cython.boundscheck(False) * @cython.wraparound(False) * def delaunay(numpy.ndarray[_qhull.realT, ndim=2, mode='c'] points, command): # <<<<<<<<<<<<<< * """Delaunay triangulation using qhull library. * */ static PyObject *__pyx_pf_8_qhull64_delaunay(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_points, PyObject *__pyx_v_command) { int __pyx_v_dimension; __Pyx_memviewslice __pyx_v_c_points = { 0, 0, { 0 }, { 0 }, { 0 } }; char *__pyx_v_c_command; int __pyx_v_result; unsigned int __pyx_v_nbFacets; PyObject *__pyx_v_indices = NULL; __Pyx_memviewslice __pyx_v_c_indices = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_LocalBuf_ND __pyx_pybuffernd_points; __Pyx_Buffer __pyx_pybuffer_points; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; __Pyx_memviewslice __pyx_t_4 = { 0, 0, { 0 }, { 0 }, { 0 } }; char *__pyx_t_5; Py_ssize_t __pyx_t_6; Py_ssize_t __pyx_t_7; int __pyx_t_8; PyObject *__pyx_t_9 = NULL; PyObject *__pyx_t_10 = NULL; __Pyx_memviewslice __pyx_t_11 = { 0, 0, { 0 }, { 0 }, { 0 } }; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("delaunay", 0); __pyx_pybuffer_points.pybuffer.buf = NULL; __pyx_pybuffer_points.refcount = 0; __pyx_pybuffernd_points.data = NULL; __pyx_pybuffernd_points.rcbuffer = &__pyx_pybuffer_points; { __Pyx_BufFmt_StackElem __pyx_stack[1]; if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_points.rcbuffer->pybuffer, (PyObject*)__pyx_v_points, &__Pyx_TypeInfo_nn_realT, PyBUF_FORMAT| PyBUF_C_CONTIGUOUS, 2, 0, __pyx_stack) == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_pybuffernd_points.diminfo[0].strides = __pyx_pybuffernd_points.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_points.diminfo[0].shape = __pyx_pybuffernd_points.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_points.diminfo[1].strides = __pyx_pybuffernd_points.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_points.diminfo[1].shape = __pyx_pybuffernd_points.rcbuffer->pybuffer.shape[1]; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":138 * :rtype: numpy.ndarray of uint32 of dimension: nbFacets x (points dim + 1). * """ * cdef int dimension = points.shape[1] # <<<<<<<<<<<<<< * cdef _qhull.coordT[:] c_points = numpy.ravel(points) * cdef char * c_command = command */ __pyx_v_dimension = (__pyx_v_points->dimensions[1]); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":139 * """ * cdef int dimension = points.shape[1] * cdef _qhull.coordT[:] c_points = numpy.ravel(points) # <<<<<<<<<<<<<< * cdef char * c_command = command * */ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 139; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__ravel); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 139; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 139; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_INCREF(((PyObject *)__pyx_v_points)); PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_points)); __Pyx_GIVEREF(((PyObject *)__pyx_v_points)); __pyx_t_3 = PyObject_Call(__pyx_t_2, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 139; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_t_4 = __Pyx_PyObject_to_MemoryviewSlice_ds_nn_coordT(__pyx_t_3); if (unlikely(!__pyx_t_4.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 139; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_c_points = __pyx_t_4; __pyx_t_4.memview = NULL; __pyx_t_4.data = NULL; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":140 * cdef int dimension = points.shape[1] * cdef _qhull.coordT[:] c_points = numpy.ravel(points) * cdef char * c_command = command # <<<<<<<<<<<<<< * * #_qhull_lock.acquire() */ __pyx_t_5 = __Pyx_PyObject_AsString(__pyx_v_command); if (unlikely((!__pyx_t_5) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 140; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_c_command = __pyx_t_5; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":144 * #_qhull_lock.acquire() * cdef int result = _qhull.qh_new_qhull(dimension, * len(points), # <<<<<<<<<<<<<< * &c_points[0], * False, */ __pyx_t_6 = PyObject_Length(((PyObject *)__pyx_v_points)); if (unlikely(__pyx_t_6 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 144; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":145 * cdef int result = _qhull.qh_new_qhull(dimension, * len(points), * &c_points[0], # <<<<<<<<<<<<<< * False, * &c_command[0], */ __pyx_t_7 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":149 * &c_command[0], * NULL, * _qhull.stderr) # <<<<<<<<<<<<<< * * if result != _qhull.qh_ERRnone: */ __pyx_v_result = qh_new_qhull(__pyx_v_dimension, __pyx_t_6, (&(*((coordT *) ( /* dim=0 */ (__pyx_v_c_points.data + __pyx_t_7 * __pyx_v_c_points.strides[0]) )))), 0, (&(__pyx_v_c_command[0])), NULL, stderr); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":151 * _qhull.stderr) * * if result != _qhull.qh_ERRnone: # <<<<<<<<<<<<<< * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources * #_qhull_lock.release() */ __pyx_t_8 = ((__pyx_v_result != qh_ERRnone) != 0); if (__pyx_t_8) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":152 * * if result != _qhull.qh_ERRnone: * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources # <<<<<<<<<<<<<< * #_qhull_lock.release() * raise _errors[result] */ qh_freeqhull(qh_ALL); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":154 * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources * #_qhull_lock.release() * raise _errors[result] # <<<<<<<<<<<<<< * * # Get number of facets */ __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s___errors); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 154; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_1 = __Pyx_GetItemInt(__pyx_t_3, __pyx_v_result, sizeof(int), PyInt_FromLong, 0, 0, 0); if (!__pyx_t_1) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 154; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_1, 0, 0, 0); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; {__pyx_filename = __pyx_f[0]; __pyx_lineno = 154; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } __pyx_L3:; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":157 * * # Get number of facets * cdef unsigned int nbFacets = nbDelaunayFacets() # <<<<<<<<<<<<<< * if nbFacets == 0: * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources */ __pyx_v_nbFacets = __pyx_f_8_qhull64_nbDelaunayFacets(); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":158 * # Get number of facets * cdef unsigned int nbFacets = nbDelaunayFacets() * if nbFacets == 0: # <<<<<<<<<<<<<< * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources * #_qhull_lock.release() */ __pyx_t_8 = ((__pyx_v_nbFacets == 0) != 0); if (__pyx_t_8) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":159 * cdef unsigned int nbFacets = nbDelaunayFacets() * if nbFacets == 0: * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources # <<<<<<<<<<<<<< * #_qhull_lock.release() * return numpy.array((), dtype=numpy.uint32) */ qh_freeqhull(qh_ALL); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":161 * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources * #_qhull_lock.release() * return numpy.array((), dtype=numpy.uint32) # <<<<<<<<<<<<<< * * # Get facets' indices */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__array); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s__uint32); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; if (PyDict_SetItem(__pyx_t_1, ((PyObject *)__pyx_n_s__dtype), __pyx_t_9) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __pyx_t_9 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_k_tuple_1), ((PyObject *)__pyx_t_1)); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_r = __pyx_t_9; __pyx_t_9 = 0; goto __pyx_L0; goto __pyx_L4; } __pyx_L4:; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":164 * * # Get facets' indices * indices = numpy.empty((nbFacets, dimension + 1), dtype=numpy.uint32) # <<<<<<<<<<<<<< * cdef unsigned int[:] c_indices = indices.ravel() * setDelaunayIndices(c_indices) */ __pyx_t_9 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s__empty); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __pyx_t_9 = PyLong_FromUnsignedLong(__pyx_v_nbFacets); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __pyx_t_3 = PyInt_FromLong((__pyx_v_dimension + 1)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_9); __Pyx_GIVEREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_9 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_t_2)); __Pyx_GIVEREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_t_2 = PyDict_New(); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __pyx_t_9 = __Pyx_GetModuleGlobalName(__pyx_n_s__numpy); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s__uint32); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; if (PyDict_SetItem(__pyx_t_2, ((PyObject *)__pyx_n_s__dtype), __pyx_t_10) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; __pyx_t_10 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_3), ((PyObject *)__pyx_t_2)); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_v_indices = __pyx_t_10; __pyx_t_10 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":165 * # Get facets' indices * indices = numpy.empty((nbFacets, dimension + 1), dtype=numpy.uint32) * cdef unsigned int[:] c_indices = indices.ravel() # <<<<<<<<<<<<<< * setDelaunayIndices(c_indices) * */ __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_indices, __pyx_n_s__ravel); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __pyx_t_2 = PyObject_Call(__pyx_t_10, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; __pyx_t_11 = __Pyx_PyObject_to_MemoryviewSlice_ds_unsigned_int(__pyx_t_2); if (unlikely(!__pyx_t_11.memview)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_v_c_indices = __pyx_t_11; __pyx_t_11.memview = NULL; __pyx_t_11.data = NULL; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":166 * indices = numpy.empty((nbFacets, dimension + 1), dtype=numpy.uint32) * cdef unsigned int[:] c_indices = indices.ravel() * setDelaunayIndices(c_indices) # <<<<<<<<<<<<<< * * # Free qhull resources */ __pyx_f_8_qhull64_setDelaunayIndices(__pyx_v_c_indices); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":169 * * # Free qhull resources * _qhull.qh_freeqhull(_qhull.qh_ALL) # <<<<<<<<<<<<<< * #_qhull_lock.release() * */ qh_freeqhull(qh_ALL); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":172 * #_qhull_lock.release() * * return indices # <<<<<<<<<<<<<< */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_indices); __pyx_r = __pyx_v_indices; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __PYX_XDEC_MEMVIEW(&__pyx_t_4, 1); __Pyx_XDECREF(__pyx_t_9); __Pyx_XDECREF(__pyx_t_10); __PYX_XDEC_MEMVIEW(&__pyx_t_11, 1); { PyObject *__pyx_type, *__pyx_value, *__pyx_tb; __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb); __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_points.rcbuffer->pybuffer); __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);} __Pyx_AddTraceback("_qhull64.delaunay", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; goto __pyx_L2; __pyx_L0:; __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_points.rcbuffer->pybuffer); __pyx_L2:; __PYX_XDEC_MEMVIEW(&__pyx_v_c_points, 1); __Pyx_XDECREF(__pyx_v_indices); __PYX_XDEC_MEMVIEW(&__pyx_v_c_indices, 1); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); __pyx_r = __pyx_pf_5numpy_7ndarray___getbuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":194 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< * # This implementation of getbuffer is geared towards Cython * # requirements, and does not yet fullfill the PEP. */ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_v_copy_shape; int __pyx_v_i; int __pyx_v_ndim; int __pyx_v_endian_detector; int __pyx_v_little_endian; int __pyx_v_t; char *__pyx_v_f; PyArray_Descr *__pyx_v_descr = 0; int __pyx_v_offset; int __pyx_v_hasfields; int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; PyObject *__pyx_t_4 = NULL; int __pyx_t_5; int __pyx_t_6; int __pyx_t_7; PyObject *__pyx_t_8 = NULL; char *__pyx_t_9; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getbuffer__", 0); if (__pyx_v_info != NULL) { __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); } /* "numpy.pxd":200 * # of flags * * if info == NULL: return # <<<<<<<<<<<<<< * * cdef int copy_shape, i, ndim */ __pyx_t_1 = ((__pyx_v_info == NULL) != 0); if (__pyx_t_1) { __pyx_r = 0; goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "numpy.pxd":203 * * cdef int copy_shape, i, ndim * cdef int endian_detector = 1 # <<<<<<<<<<<<<< * cdef bint little_endian = ((&endian_detector)[0] != 0) * */ __pyx_v_endian_detector = 1; /* "numpy.pxd":204 * cdef int copy_shape, i, ndim * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< * * ndim = PyArray_NDIM(self) */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); /* "numpy.pxd":206 * cdef bint little_endian = ((&endian_detector)[0] != 0) * * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< * * if sizeof(npy_intp) != sizeof(Py_ssize_t): */ __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); /* "numpy.pxd":208 * ndim = PyArray_NDIM(self) * * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< * copy_shape = 1 * else: */ __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { /* "numpy.pxd":209 * * if sizeof(npy_intp) != sizeof(Py_ssize_t): * copy_shape = 1 # <<<<<<<<<<<<<< * else: * copy_shape = 0 */ __pyx_v_copy_shape = 1; goto __pyx_L4; } /*else*/ { /* "numpy.pxd":211 * copy_shape = 1 * else: * copy_shape = 0 # <<<<<<<<<<<<<< * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) */ __pyx_v_copy_shape = 0; } __pyx_L4:; /* "numpy.pxd":213 * copy_shape = 0 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< * and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") */ __pyx_t_1 = (((__pyx_v_flags & PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS) != 0); if (__pyx_t_1) { /* "numpy.pxd":214 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< * raise ValueError(u"ndarray is not C contiguous") * */ __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_C_CONTIGUOUS) != 0)) != 0); __pyx_t_3 = __pyx_t_2; } else { __pyx_t_3 = __pyx_t_1; } if (__pyx_t_3) { /* "numpy.pxd":215 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; /* "numpy.pxd":217 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< * and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") */ __pyx_t_3 = (((__pyx_v_flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS) != 0); if (__pyx_t_3) { /* "numpy.pxd":218 * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< * raise ValueError(u"ndarray is not Fortran contiguous") * */ __pyx_t_1 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_F_CONTIGUOUS) != 0)) != 0); __pyx_t_2 = __pyx_t_1; } else { __pyx_t_2 = __pyx_t_3; } if (__pyx_t_2) { /* "numpy.pxd":219 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< * * info.buf = PyArray_DATA(self) */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; /* "numpy.pxd":221 * raise ValueError(u"ndarray is not Fortran contiguous") * * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< * info.ndim = ndim * if copy_shape: */ __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); /* "numpy.pxd":222 * * info.buf = PyArray_DATA(self) * info.ndim = ndim # <<<<<<<<<<<<<< * if copy_shape: * # Allocate new buffer for strides and shape info. */ __pyx_v_info->ndim = __pyx_v_ndim; /* "numpy.pxd":223 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if copy_shape: # <<<<<<<<<<<<<< * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. */ __pyx_t_2 = (__pyx_v_copy_shape != 0); if (__pyx_t_2) { /* "numpy.pxd":226 * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. * info.strides = stdlib.malloc(sizeof(Py_ssize_t) * ndim * 2) # <<<<<<<<<<<<<< * info.shape = info.strides + ndim * for i in range(ndim): */ __pyx_v_info->strides = ((Py_ssize_t *)malloc((((sizeof(Py_ssize_t)) * ((size_t)__pyx_v_ndim)) * 2))); /* "numpy.pxd":227 * # This is allocated as one block, strides first. * info.strides = stdlib.malloc(sizeof(Py_ssize_t) * ndim * 2) * info.shape = info.strides + ndim # <<<<<<<<<<<<<< * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] */ __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); /* "numpy.pxd":228 * info.strides = stdlib.malloc(sizeof(Py_ssize_t) * ndim * 2) * info.shape = info.strides + ndim * for i in range(ndim): # <<<<<<<<<<<<<< * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] */ __pyx_t_5 = __pyx_v_ndim; for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; /* "numpy.pxd":229 * info.shape = info.strides + ndim * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< * info.shape[i] = PyArray_DIMS(self)[i] * else: */ (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); /* "numpy.pxd":230 * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< * else: * info.strides = PyArray_STRIDES(self) */ (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); } goto __pyx_L7; } /*else*/ { /* "numpy.pxd":232 * info.shape[i] = PyArray_DIMS(self)[i] * else: * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL */ __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); /* "numpy.pxd":233 * else: * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) */ __pyx_v_info->shape = ((Py_ssize_t *)PyArray_DIMS(__pyx_v_self)); } __pyx_L7:; /* "numpy.pxd":234 * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL # <<<<<<<<<<<<<< * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) */ __pyx_v_info->suboffsets = NULL; /* "numpy.pxd":235 * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< * info.readonly = not PyArray_ISWRITEABLE(self) * */ __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); /* "numpy.pxd":236 * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< * * cdef int t */ __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); /* "numpy.pxd":239 * * cdef int t * cdef char* f = NULL # <<<<<<<<<<<<<< * cdef dtype descr = self.descr * cdef list stack */ __pyx_v_f = NULL; /* "numpy.pxd":240 * cdef int t * cdef char* f = NULL * cdef dtype descr = self.descr # <<<<<<<<<<<<<< * cdef list stack * cdef int offset */ __pyx_t_4 = ((PyObject *)__pyx_v_self->descr); __Pyx_INCREF(__pyx_t_4); __pyx_v_descr = ((PyArray_Descr *)__pyx_t_4); __pyx_t_4 = 0; /* "numpy.pxd":244 * cdef int offset * * cdef bint hasfields = PyDataType_HASFIELDS(descr) # <<<<<<<<<<<<<< * * if not hasfields and not copy_shape: */ __pyx_v_hasfields = PyDataType_HASFIELDS(__pyx_v_descr); /* "numpy.pxd":246 * cdef bint hasfields = PyDataType_HASFIELDS(descr) * * if not hasfields and not copy_shape: # <<<<<<<<<<<<<< * # do not call releasebuffer * info.obj = None */ __pyx_t_2 = ((!(__pyx_v_hasfields != 0)) != 0); if (__pyx_t_2) { __pyx_t_3 = ((!(__pyx_v_copy_shape != 0)) != 0); __pyx_t_1 = __pyx_t_3; } else { __pyx_t_1 = __pyx_t_2; } if (__pyx_t_1) { /* "numpy.pxd":248 * if not hasfields and not copy_shape: * # do not call releasebuffer * info.obj = None # <<<<<<<<<<<<<< * else: * # need to call releasebuffer */ __Pyx_INCREF(Py_None); __Pyx_GIVEREF(Py_None); __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = Py_None; goto __pyx_L10; } /*else*/ { /* "numpy.pxd":251 * else: * # need to call releasebuffer * info.obj = self # <<<<<<<<<<<<<< * * if not hasfields: */ __Pyx_INCREF(((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); } __pyx_L10:; /* "numpy.pxd":253 * info.obj = self * * if not hasfields: # <<<<<<<<<<<<<< * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or */ __pyx_t_1 = ((!(__pyx_v_hasfields != 0)) != 0); if (__pyx_t_1) { /* "numpy.pxd":254 * * if not hasfields: * t = descr.type_num # <<<<<<<<<<<<<< * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): */ __pyx_t_5 = __pyx_v_descr->type_num; __pyx_v_t = __pyx_t_5; /* "numpy.pxd":255 * if not hasfields: * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") */ __pyx_t_1 = ((__pyx_v_descr->byteorder == '>') != 0); if (__pyx_t_1) { __pyx_t_2 = (__pyx_v_little_endian != 0); } else { __pyx_t_2 = __pyx_t_1; } if (!__pyx_t_2) { /* "numpy.pxd":256 * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" */ __pyx_t_1 = ((__pyx_v_descr->byteorder == '<') != 0); if (__pyx_t_1) { __pyx_t_3 = ((!(__pyx_v_little_endian != 0)) != 0); __pyx_t_7 = __pyx_t_3; } else { __pyx_t_7 = __pyx_t_1; } __pyx_t_1 = __pyx_t_7; } else { __pyx_t_1 = __pyx_t_2; } if (__pyx_t_1) { /* "numpy.pxd":257 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_7), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L12; } __pyx_L12:; /* "numpy.pxd":274 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) */ switch (__pyx_v_t) { /* "numpy.pxd":258 * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" */ case NPY_BYTE: __pyx_v_f = __pyx_k__b; break; /* "numpy.pxd":259 * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" */ case NPY_UBYTE: __pyx_v_f = __pyx_k__B; break; /* "numpy.pxd":260 * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" */ case NPY_SHORT: __pyx_v_f = __pyx_k__h; break; /* "numpy.pxd":261 * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" */ case NPY_USHORT: __pyx_v_f = __pyx_k__H; break; /* "numpy.pxd":262 * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" */ case NPY_INT: __pyx_v_f = __pyx_k__i; break; /* "numpy.pxd":263 * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" */ case NPY_UINT: __pyx_v_f = __pyx_k__I; break; /* "numpy.pxd":264 * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" */ case NPY_LONG: __pyx_v_f = __pyx_k__l; break; /* "numpy.pxd":265 * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" */ case NPY_ULONG: __pyx_v_f = __pyx_k__L; break; /* "numpy.pxd":266 * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" */ case NPY_LONGLONG: __pyx_v_f = __pyx_k__q; break; /* "numpy.pxd":267 * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" */ case NPY_ULONGLONG: __pyx_v_f = __pyx_k__Q; break; /* "numpy.pxd":268 * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" */ case NPY_FLOAT: __pyx_v_f = __pyx_k__f; break; /* "numpy.pxd":269 * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" */ case NPY_DOUBLE: __pyx_v_f = __pyx_k__d; break; /* "numpy.pxd":270 * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" */ case NPY_LONGDOUBLE: __pyx_v_f = __pyx_k__g; break; /* "numpy.pxd":271 * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" */ case NPY_CFLOAT: __pyx_v_f = __pyx_k__Zf; break; /* "numpy.pxd":272 * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" */ case NPY_CDOUBLE: __pyx_v_f = __pyx_k__Zd; break; /* "numpy.pxd":273 * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< * elif t == NPY_OBJECT: f = "O" * else: */ case NPY_CLONGDOUBLE: __pyx_v_f = __pyx_k__Zg; break; /* "numpy.pxd":274 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) */ case NPY_OBJECT: __pyx_v_f = __pyx_k__O; break; default: /* "numpy.pxd":276 * elif t == NPY_OBJECT: f = "O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< * info.format = f * return */ __pyx_t_4 = PyInt_FromLong(__pyx_v_t); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_8 = PyNumber_Remainder(((PyObject *)__pyx_kp_u_8), __pyx_t_4); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_8)); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_8)); __Pyx_GIVEREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __pyx_t_8 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_Raise(__pyx_t_8, 0, 0, 0); __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 276; __pyx_clineno = __LINE__; goto __pyx_L1_error;} break; } /* "numpy.pxd":277 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f # <<<<<<<<<<<<<< * return * else: */ __pyx_v_info->format = __pyx_v_f; /* "numpy.pxd":278 * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f * return # <<<<<<<<<<<<<< * else: * info.format = stdlib.malloc(_buffer_format_string_len) */ __pyx_r = 0; goto __pyx_L0; goto __pyx_L11; } /*else*/ { /* "numpy.pxd":280 * return * else: * info.format = stdlib.malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 */ __pyx_v_info->format = ((char *)malloc(255)); /* "numpy.pxd":281 * else: * info.format = stdlib.malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< * offset = 0 * f = _util_dtypestring(descr, info.format + 1, */ (__pyx_v_info->format[0]) = '^'; /* "numpy.pxd":282 * info.format = stdlib.malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 # <<<<<<<<<<<<<< * f = _util_dtypestring(descr, info.format + 1, * info.format + _buffer_format_string_len, */ __pyx_v_offset = 0; /* "numpy.pxd":285 * f = _util_dtypestring(descr, info.format + 1, * info.format + _buffer_format_string_len, * &offset) # <<<<<<<<<<<<<< * f[0] = c'\0' # Terminate format string * */ __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 255), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == NULL)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 283; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_f = __pyx_t_9; /* "numpy.pxd":286 * info.format + _buffer_format_string_len, * &offset) * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< * * def __releasebuffer__(ndarray self, Py_buffer* info): */ (__pyx_v_f[0]) = '\x00'; } __pyx_L11:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_8); __Pyx_AddTraceback("numpy.ndarray.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; if (__pyx_v_info != NULL && __pyx_v_info->obj != NULL) { __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = NULL; } goto __pyx_L2; __pyx_L0:; if (__pyx_v_info != NULL && __pyx_v_info->obj == Py_None) { __Pyx_GOTREF(Py_None); __Pyx_DECREF(Py_None); __pyx_v_info->obj = NULL; } __pyx_L2:; __Pyx_XDECREF((PyObject *)__pyx_v_descr); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info); /*proto*/ static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__releasebuffer__ (wrapper)", 0); __pyx_pf_5numpy_7ndarray_2__releasebuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info)); __Pyx_RefNannyFinishContext(); } /* "numpy.pxd":288 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< * if PyArray_HASFIELDS(self): * stdlib.free(info.format) */ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info) { __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("__releasebuffer__", 0); /* "numpy.pxd":289 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< * stdlib.free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): */ __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); if (__pyx_t_1) { /* "numpy.pxd":290 * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): * stdlib.free(info.format) # <<<<<<<<<<<<<< * if sizeof(npy_intp) != sizeof(Py_ssize_t): * stdlib.free(info.strides) */ free(__pyx_v_info->format); goto __pyx_L3; } __pyx_L3:; /* "numpy.pxd":291 * if PyArray_HASFIELDS(self): * stdlib.free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< * stdlib.free(info.strides) * # info.shape was stored after info.strides in the same block */ __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { /* "numpy.pxd":292 * stdlib.free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): * stdlib.free(info.strides) # <<<<<<<<<<<<<< * # info.shape was stored after info.strides in the same block * */ free(__pyx_v_info->strides); goto __pyx_L4; } __pyx_L4:; __Pyx_RefNannyFinishContext(); } /* "numpy.pxd":768 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(1, a) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__pyx_v_a) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0); /* "numpy.pxd":769 * * cdef inline object PyArray_MultiIterNew1(a): * return PyArray_MultiIterNew(1, a) # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew2(a, b): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(1, ((void *)__pyx_v_a)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 769; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew1", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":771 * return PyArray_MultiIterNew(1, a) * * cdef inline object PyArray_MultiIterNew2(a, b): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(2, a, b) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__pyx_v_a, PyObject *__pyx_v_b) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew2", 0); /* "numpy.pxd":772 * * cdef inline object PyArray_MultiIterNew2(a, b): * return PyArray_MultiIterNew(2, a, b) # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew3(a, b, c): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(2, ((void *)__pyx_v_a), ((void *)__pyx_v_b)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 772; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew2", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":774 * return PyArray_MultiIterNew(2, a, b) * * cdef inline object PyArray_MultiIterNew3(a, b, c): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(3, a, b, c) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0); /* "numpy.pxd":775 * * cdef inline object PyArray_MultiIterNew3(a, b, c): * return PyArray_MultiIterNew(3, a, b, c) # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(3, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 775; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew3", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":777 * return PyArray_MultiIterNew(3, a, b, c) * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(4, a, b, c, d) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0); /* "numpy.pxd":778 * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): * return PyArray_MultiIterNew(4, a, b, c, d) # <<<<<<<<<<<<<< * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(4, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 778; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew4", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":780 * return PyArray_MultiIterNew(4, a, b, c, d) * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): # <<<<<<<<<<<<<< * return PyArray_MultiIterNew(5, a, b, c, d, e) * */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d, PyObject *__pyx_v_e) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0); /* "numpy.pxd":781 * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): * return PyArray_MultiIterNew(5, a, b, c, d, e) # <<<<<<<<<<<<<< * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyArray_MultiIterNew(5, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d), ((void *)__pyx_v_e)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 781; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("numpy.PyArray_MultiIterNew5", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":783 * return PyArray_MultiIterNew(5, a, b, c, d, e) * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< * # Recursive utility function used in __getbuffer__ to get format * # string. The new location in the format string is returned. */ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx_v_descr, char *__pyx_v_f, char *__pyx_v_end, int *__pyx_v_offset) { PyArray_Descr *__pyx_v_child = 0; int __pyx_v_endian_detector; int __pyx_v_little_endian; PyObject *__pyx_v_fields = 0; PyObject *__pyx_v_childname = NULL; PyObject *__pyx_v_new_offset = NULL; PyObject *__pyx_v_t = NULL; char *__pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; Py_ssize_t __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *(*__pyx_t_6)(PyObject *); int __pyx_t_7; int __pyx_t_8; int __pyx_t_9; int __pyx_t_10; long __pyx_t_11; char *__pyx_t_12; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("_util_dtypestring", 0); /* "numpy.pxd":790 * cdef int delta_offset * cdef tuple i * cdef int endian_detector = 1 # <<<<<<<<<<<<<< * cdef bint little_endian = ((&endian_detector)[0] != 0) * cdef tuple fields */ __pyx_v_endian_detector = 1; /* "numpy.pxd":791 * cdef tuple i * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< * cdef tuple fields * */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); /* "numpy.pxd":794 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< * fields = descr.fields[childname] * child, new_offset = fields */ if (unlikely(((PyObject *)__pyx_v_descr->names) == Py_None)) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_1 = ((PyObject *)__pyx_v_descr->names); __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0; for (;;) { if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_3); __pyx_t_2++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3); __pyx_t_3 = 0; /* "numpy.pxd":795 * * for childname in descr.names: * fields = descr.fields[childname] # <<<<<<<<<<<<<< * child, new_offset = fields * */ __pyx_t_3 = PyObject_GetItem(__pyx_v_descr->fields, __pyx_v_childname); if (!__pyx_t_3) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 795; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (!(likely(PyTuple_CheckExact(__pyx_t_3))||((__pyx_t_3) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected tuple, got %.200s", Py_TYPE(__pyx_t_3)->tp_name), 0))) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 795; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3)); __pyx_t_3 = 0; /* "numpy.pxd":796 * for childname in descr.names: * fields = descr.fields[childname] * child, new_offset = fields # <<<<<<<<<<<<<< * * if (end - f) - (new_offset - offset[0]) < 15: */ if (likely(PyTuple_CheckExact(((PyObject *)__pyx_v_fields)))) { PyObject* sequence = ((PyObject *)__pyx_v_fields); #if CYTHON_COMPILING_IN_CPYTHON Py_ssize_t size = Py_SIZE(sequence); #else Py_ssize_t size = PySequence_Size(sequence); #endif if (unlikely(size != 2)) { if (size > 2) __Pyx_RaiseTooManyValuesError(2); else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); __pyx_t_4 = PyTuple_GET_ITEM(sequence, 1); __Pyx_INCREF(__pyx_t_3); __Pyx_INCREF(__pyx_t_4); #else __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); #endif } else if (1) { __Pyx_RaiseNoneNotIterableError(); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else { Py_ssize_t index = -1; __pyx_t_5 = PyObject_GetIter(((PyObject *)__pyx_v_fields)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_6 = Py_TYPE(__pyx_t_5)->tp_iternext; index = 0; __pyx_t_3 = __pyx_t_6(__pyx_t_5); if (unlikely(!__pyx_t_3)) goto __pyx_L5_unpacking_failed; __Pyx_GOTREF(__pyx_t_3); index = 1; __pyx_t_4 = __pyx_t_6(__pyx_t_5); if (unlikely(!__pyx_t_4)) goto __pyx_L5_unpacking_failed; __Pyx_GOTREF(__pyx_t_4); if (__Pyx_IternextUnpackEndCheck(__pyx_t_6(__pyx_t_5), 2) < 0) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = NULL; __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; goto __pyx_L6_unpacking_done; __pyx_L5_unpacking_failed:; __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_6 = NULL; if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_L6_unpacking_done:; } if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_dtype))))) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 796; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_XDECREF_SET(__pyx_v_child, ((PyArray_Descr *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4); __pyx_t_4 = 0; /* "numpy.pxd":798 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * */ __pyx_t_4 = PyInt_FromLong((__pyx_v_end - __pyx_v_f)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_3 = PyInt_FromLong((__pyx_v_offset[0])); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyNumber_Subtract(__pyx_v_new_offset, __pyx_t_3); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyNumber_Subtract(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_5 = PyObject_RichCompare(__pyx_t_3, __pyx_int_15, Py_LT); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 798; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { /* "numpy.pxd":799 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< * * if ((child.byteorder == c'>' and little_endian) or */ __pyx_t_5 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_10), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_Raise(__pyx_t_5, 0, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; /* "numpy.pxd":801 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") */ __pyx_t_7 = ((__pyx_v_child->byteorder == '>') != 0); if (__pyx_t_7) { __pyx_t_8 = (__pyx_v_little_endian != 0); } else { __pyx_t_8 = __pyx_t_7; } if (!__pyx_t_8) { /* "numpy.pxd":802 * * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< * raise ValueError(u"Non-native byte order not supported") * # One could encode it in the format string and have Cython */ __pyx_t_7 = ((__pyx_v_child->byteorder == '<') != 0); if (__pyx_t_7) { __pyx_t_9 = ((!(__pyx_v_little_endian != 0)) != 0); __pyx_t_10 = __pyx_t_9; } else { __pyx_t_10 = __pyx_t_7; } __pyx_t_7 = __pyx_t_10; } else { __pyx_t_7 = __pyx_t_8; } if (__pyx_t_7) { /* "numpy.pxd":803 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< * # One could encode it in the format string and have Cython * # complain instead, BUT: < and > in format strings also imply */ __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_11), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 803; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_Raise(__pyx_t_5, 0, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 803; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; /* "numpy.pxd":813 * * # Output padding bytes * while offset[0] < new_offset: # <<<<<<<<<<<<<< * f[0] = 120 # "x"; pad byte * f += 1 */ while (1) { __pyx_t_5 = PyInt_FromLong((__pyx_v_offset[0])); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 813; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_t_5, __pyx_v_new_offset, Py_LT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 813; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 813; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (!__pyx_t_7) break; /* "numpy.pxd":814 * # Output padding bytes * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< * f += 1 * offset[0] += 1 */ (__pyx_v_f[0]) = 120; /* "numpy.pxd":815 * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte * f += 1 # <<<<<<<<<<<<<< * offset[0] += 1 * */ __pyx_v_f = (__pyx_v_f + 1); /* "numpy.pxd":816 * f[0] = 120 # "x"; pad byte * f += 1 * offset[0] += 1 # <<<<<<<<<<<<<< * * offset[0] += child.itemsize */ __pyx_t_11 = 0; (__pyx_v_offset[__pyx_t_11]) = ((__pyx_v_offset[__pyx_t_11]) + 1); } /* "numpy.pxd":818 * offset[0] += 1 * * offset[0] += child.itemsize # <<<<<<<<<<<<<< * * if not PyDataType_HASFIELDS(child): */ __pyx_t_11 = 0; (__pyx_v_offset[__pyx_t_11]) = ((__pyx_v_offset[__pyx_t_11]) + __pyx_v_child->elsize); /* "numpy.pxd":820 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< * t = child.type_num * if end - f < 5: */ __pyx_t_7 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); if (__pyx_t_7) { /* "numpy.pxd":821 * * if not PyDataType_HASFIELDS(child): * t = child.type_num # <<<<<<<<<<<<<< * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") */ __pyx_t_3 = PyInt_FromLong(__pyx_v_child->type_num); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 821; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_3); __pyx_t_3 = 0; /* "numpy.pxd":822 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< * raise RuntimeError(u"Format string allocated too short.") * */ __pyx_t_7 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); if (__pyx_t_7) { /* "numpy.pxd":823 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< * * # Until ticket #99 is fixed, use integers to avoid warnings */ __pyx_t_3 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_13), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L12; } __pyx_L12:; /* "numpy.pxd":826 * * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" */ __pyx_t_3 = PyInt_FromLong(NPY_BYTE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 826; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 98; goto __pyx_L13; } /* "numpy.pxd":827 * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" */ __pyx_t_5 = PyInt_FromLong(NPY_UBYTE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 827; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 66; goto __pyx_L13; } /* "numpy.pxd":828 * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" */ __pyx_t_3 = PyInt_FromLong(NPY_SHORT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 828; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 104; goto __pyx_L13; } /* "numpy.pxd":829 * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" */ __pyx_t_5 = PyInt_FromLong(NPY_USHORT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 829; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 72; goto __pyx_L13; } /* "numpy.pxd":830 * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" */ __pyx_t_3 = PyInt_FromLong(NPY_INT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 830; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 105; goto __pyx_L13; } /* "numpy.pxd":831 * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" */ __pyx_t_5 = PyInt_FromLong(NPY_UINT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 831; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 73; goto __pyx_L13; } /* "numpy.pxd":832 * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" */ __pyx_t_3 = PyInt_FromLong(NPY_LONG); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 832; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 108; goto __pyx_L13; } /* "numpy.pxd":833 * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" */ __pyx_t_5 = PyInt_FromLong(NPY_ULONG); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 833; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 76; goto __pyx_L13; } /* "numpy.pxd":834 * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" */ __pyx_t_3 = PyInt_FromLong(NPY_LONGLONG); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 834; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 113; goto __pyx_L13; } /* "numpy.pxd":835 * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" */ __pyx_t_5 = PyInt_FromLong(NPY_ULONGLONG); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 835; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 81; goto __pyx_L13; } /* "numpy.pxd":836 * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" */ __pyx_t_3 = PyInt_FromLong(NPY_FLOAT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 836; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 102; goto __pyx_L13; } /* "numpy.pxd":837 * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf */ __pyx_t_5 = PyInt_FromLong(NPY_DOUBLE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 837; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 100; goto __pyx_L13; } /* "numpy.pxd":838 * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd */ __pyx_t_3 = PyInt_FromLong(NPY_LONGDOUBLE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 838; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 103; goto __pyx_L13; } /* "numpy.pxd":839 * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg */ __pyx_t_5 = PyInt_FromLong(NPY_CFLOAT); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 839; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 90; (__pyx_v_f[1]) = 102; __pyx_v_f = (__pyx_v_f + 1); goto __pyx_L13; } /* "numpy.pxd":840 * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" */ __pyx_t_3 = PyInt_FromLong(NPY_CDOUBLE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 840; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 90; (__pyx_v_f[1]) = 100; __pyx_v_f = (__pyx_v_f + 1); goto __pyx_L13; } /* "numpy.pxd":841 * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: */ __pyx_t_5 = PyInt_FromLong(NPY_CLONGDOUBLE); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 841; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_5, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 841; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 841; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 90; (__pyx_v_f[1]) = 103; __pyx_v_f = (__pyx_v_f + 1); goto __pyx_L13; } /* "numpy.pxd":842 * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) */ __pyx_t_3 = PyInt_FromLong(NPY_OBJECT); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 842; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 842; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_7 < 0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 842; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_7) { (__pyx_v_f[0]) = 79; goto __pyx_L13; } /*else*/ { /* "numpy.pxd":844 * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< * f += 1 * else: */ __pyx_t_5 = PyNumber_Remainder(((PyObject *)__pyx_kp_u_8), __pyx_v_t); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_t_5)); __Pyx_GIVEREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; __pyx_t_5 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_5, 0, 0, 0); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; {__pyx_filename = __pyx_f[1]; __pyx_lineno = 844; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L13:; /* "numpy.pxd":845 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * f += 1 # <<<<<<<<<<<<<< * else: * # Cython ignores struct boundary information ("T{...}"), */ __pyx_v_f = (__pyx_v_f + 1); goto __pyx_L11; } /*else*/ { /* "numpy.pxd":849 * # Cython ignores struct boundary information ("T{...}"), * # so don't output it * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< * return f * */ __pyx_t_12 = __pyx_f_5numpy__util_dtypestring(__pyx_v_child, __pyx_v_f, __pyx_v_end, __pyx_v_offset); if (unlikely(__pyx_t_12 == NULL)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 849; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_f = __pyx_t_12; } __pyx_L11:; } __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "numpy.pxd":850 * # so don't output it * f = _util_dtypestring(child, f, end, offset) * return f # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_f; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("numpy._util_dtypestring", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_child); __Pyx_XDECREF(__pyx_v_fields); __Pyx_XDECREF(__pyx_v_childname); __Pyx_XDECREF(__pyx_v_new_offset); __Pyx_XDECREF(__pyx_v_t); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "numpy.pxd":965 * * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< * cdef PyObject* baseptr * if base is None: */ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_arr, PyObject *__pyx_v_base) { PyObject *__pyx_v_baseptr; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; __Pyx_RefNannySetupContext("set_array_base", 0); /* "numpy.pxd":967 * cdef inline void set_array_base(ndarray arr, object base): * cdef PyObject* baseptr * if base is None: # <<<<<<<<<<<<<< * baseptr = NULL * else: */ __pyx_t_1 = (__pyx_v_base == Py_None); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "numpy.pxd":968 * cdef PyObject* baseptr * if base is None: * baseptr = NULL # <<<<<<<<<<<<<< * else: * Py_INCREF(base) # important to do this before decref below! */ __pyx_v_baseptr = NULL; goto __pyx_L3; } /*else*/ { /* "numpy.pxd":970 * baseptr = NULL * else: * Py_INCREF(base) # important to do this before decref below! # <<<<<<<<<<<<<< * baseptr = base * Py_XDECREF(arr.base) */ Py_INCREF(__pyx_v_base); /* "numpy.pxd":971 * else: * Py_INCREF(base) # important to do this before decref below! * baseptr = base # <<<<<<<<<<<<<< * Py_XDECREF(arr.base) * arr.base = baseptr */ __pyx_v_baseptr = ((PyObject *)__pyx_v_base); } __pyx_L3:; /* "numpy.pxd":972 * Py_INCREF(base) # important to do this before decref below! * baseptr = base * Py_XDECREF(arr.base) # <<<<<<<<<<<<<< * arr.base = baseptr * */ Py_XDECREF(__pyx_v_arr->base); /* "numpy.pxd":973 * baseptr = base * Py_XDECREF(arr.base) * arr.base = baseptr # <<<<<<<<<<<<<< * * cdef inline object get_array_base(ndarray arr): */ __pyx_v_arr->base = __pyx_v_baseptr; __Pyx_RefNannyFinishContext(); } /* "numpy.pxd":975 * arr.base = baseptr * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< * if arr.base is NULL: * return None */ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__pyx_v_arr) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("get_array_base", 0); /* "numpy.pxd":976 * * cdef inline object get_array_base(ndarray arr): * if arr.base is NULL: # <<<<<<<<<<<<<< * return None * else: */ __pyx_t_1 = ((__pyx_v_arr->base == NULL) != 0); if (__pyx_t_1) { /* "numpy.pxd":977 * cdef inline object get_array_base(ndarray arr): * if arr.base is NULL: * return None # <<<<<<<<<<<<<< * else: * return arr.base */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(Py_None); __pyx_r = Py_None; goto __pyx_L0; goto __pyx_L3; } /*else*/ { /* "numpy.pxd":979 * return None * else: * return arr.base # <<<<<<<<<<<<<< */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_arr->base)); __pyx_r = ((PyObject *)__pyx_v_arr->base); goto __pyx_L0; } __pyx_L3:; __pyx_r = Py_None; __Pyx_INCREF(Py_None); __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_shape = 0; Py_ssize_t __pyx_v_itemsize; PyObject *__pyx_v_format = 0; PyObject *__pyx_v_mode = 0; int __pyx_v_allocate_buffer; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__cinit__ (wrapper)", 0); { static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__shape,&__pyx_n_s__itemsize,&__pyx_n_s__format,&__pyx_n_s__mode,&__pyx_n_s__allocate_buffer,0}; PyObject* values[5] = {0,0,0,0,0}; values[3] = ((PyObject *)__pyx_n_u__c); if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = PyDict_Size(__pyx_kwds); switch (pos_args) { case 0: if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__shape)) != 0)) kw_args--; else goto __pyx_L5_argtuple_error; case 1: if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__itemsize)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, 1); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 2: if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__format)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, 2); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 3: if (kw_args > 0) { PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__mode); if (value) { values[3] = value; kw_args--; } } case 4: if (kw_args > 0) { PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__allocate_buffer); if (value) { values[4] = value; kw_args--; } } } if (unlikely(kw_args > 0)) { if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } else { switch (PyTuple_GET_SIZE(__pyx_args)) { case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); values[1] = PyTuple_GET_ITEM(__pyx_args, 1); values[0] = PyTuple_GET_ITEM(__pyx_args, 0); break; default: goto __pyx_L5_argtuple_error; } } __pyx_v_shape = ((PyObject*)values[0]); __pyx_v_itemsize = __Pyx_PyIndex_AsSsize_t(values[1]); if (unlikely((__pyx_v_itemsize == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_v_format = values[2]; __pyx_v_mode = values[3]; if (values[4]) { __pyx_v_allocate_buffer = __Pyx_PyObject_IsTrue(values[4]); if (unlikely((__pyx_v_allocate_buffer == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 114; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } else { /* "View.MemoryView":114 * * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, * mode=u"c", bint allocate_buffer=True): # <<<<<<<<<<<<<< * * cdef int idx */ __pyx_v_allocate_buffer = ((int)1); } } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("View.MemoryView.array.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return -1; __pyx_L4_argument_unpacking_done:; if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_shape), (&PyTuple_Type), 1, "shape", 1))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (unlikely(((PyObject *)__pyx_v_format) == Py_None)) { PyErr_Format(PyExc_TypeError, "Argument 'format' must not be None"); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 113; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_r = __pyx_array_MemoryView_5array___cinit__(((struct __pyx_array_obj *)__pyx_v_self), __pyx_v_shape, __pyx_v_itemsize, __pyx_v_format, __pyx_v_mode, __pyx_v_allocate_buffer); goto __pyx_L0; __pyx_L1_error:; __pyx_r = -1; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":113 * cdef bint dtype_is_object * * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< * mode=u"c", bint allocate_buffer=True): * */ static int __pyx_array_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer) { int __pyx_v_idx; Py_ssize_t __pyx_v_i; PyObject **__pyx_v_p; PyObject *__pyx_v_encode = NULL; PyObject *__pyx_v_dim = NULL; char __pyx_v_order; PyObject *__pyx_v_decode = NULL; int __pyx_r; __Pyx_RefNannyDeclarations Py_ssize_t __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; char *__pyx_t_4; int __pyx_t_5; int __pyx_t_6; int __pyx_t_7; PyObject *__pyx_t_8 = NULL; PyObject *__pyx_t_9 = NULL; Py_ssize_t __pyx_t_10; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__cinit__", 0); __Pyx_INCREF(__pyx_v_format); __Pyx_INCREF(__pyx_v_mode); /* "View.MemoryView":120 * cdef PyObject **p * * self.ndim = len(shape) # <<<<<<<<<<<<<< * self.itemsize = itemsize * */ if (unlikely(((PyObject *)__pyx_v_shape) == Py_None)) { PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 120; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_1 = PyTuple_GET_SIZE(((PyObject *)__pyx_v_shape)); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 120; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_self->ndim = __pyx_t_1; /* "View.MemoryView":121 * * self.ndim = len(shape) * self.itemsize = itemsize # <<<<<<<<<<<<<< * * if not self.ndim: */ __pyx_v_self->itemsize = __pyx_v_itemsize; /* "View.MemoryView":123 * self.itemsize = itemsize * * if not self.ndim: # <<<<<<<<<<<<<< * raise ValueError("Empty shape tuple for cython.array") * */ __pyx_t_2 = ((!(__pyx_v_self->ndim != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":124 * * if not self.ndim: * raise ValueError("Empty shape tuple for cython.array") # <<<<<<<<<<<<<< * * if self.itemsize <= 0: */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_15), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":126 * raise ValueError("Empty shape tuple for cython.array") * * if self.itemsize <= 0: # <<<<<<<<<<<<<< * raise ValueError("itemsize <= 0 for cython.array") * */ __pyx_t_2 = ((__pyx_v_self->itemsize <= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":127 * * if self.itemsize <= 0: * raise ValueError("itemsize <= 0 for cython.array") # <<<<<<<<<<<<<< * * encode = getattr(format, 'encode', None) */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_17), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 127; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 127; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":129 * raise ValueError("itemsize <= 0 for cython.array") * * encode = getattr(format, 'encode', None) # <<<<<<<<<<<<<< * if encode: * format = encode('ASCII') */ __pyx_t_3 = __Pyx_GetAttr3(__pyx_v_format, ((PyObject *)__pyx_n_s__encode), Py_None); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 129; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_encode = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":130 * * encode = getattr(format, 'encode', None) * if encode: # <<<<<<<<<<<<<< * format = encode('ASCII') * self._format = format */ __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_encode); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 130; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_2) { /* "View.MemoryView":131 * encode = getattr(format, 'encode', None) * if encode: * format = encode('ASCII') # <<<<<<<<<<<<<< * self._format = format * self.format = self._format */ __pyx_t_3 = PyObject_Call(__pyx_v_encode, ((PyObject *)__pyx_k_tuple_18), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 131; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF_SET(__pyx_v_format, __pyx_t_3); __pyx_t_3 = 0; goto __pyx_L5; } __pyx_L5:; /* "View.MemoryView":132 * if encode: * format = encode('ASCII') * self._format = format # <<<<<<<<<<<<<< * self.format = self._format * */ if (!(likely(PyBytes_CheckExact(__pyx_v_format))||((__pyx_v_format) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected bytes, got %.200s", Py_TYPE(__pyx_v_format)->tp_name), 0))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 132; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_INCREF(__pyx_v_format); __Pyx_GIVEREF(__pyx_v_format); __Pyx_GOTREF(__pyx_v_self->_format); __Pyx_DECREF(((PyObject *)__pyx_v_self->_format)); __pyx_v_self->_format = ((PyObject*)__pyx_v_format); /* "View.MemoryView":133 * format = encode('ASCII') * self._format = format * self.format = self._format # <<<<<<<<<<<<<< * * self._shape = malloc(sizeof(Py_ssize_t)*self.ndim) */ __pyx_t_4 = __Pyx_PyObject_AsString(((PyObject *)__pyx_v_self->_format)); if (unlikely((!__pyx_t_4) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 133; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_self->format = __pyx_t_4; /* "View.MemoryView":135 * self.format = self._format * * self._shape = malloc(sizeof(Py_ssize_t)*self.ndim) # <<<<<<<<<<<<<< * self._strides = malloc(sizeof(Py_ssize_t)*self.ndim) * */ __pyx_v_self->_shape = ((Py_ssize_t *)malloc(((sizeof(Py_ssize_t)) * __pyx_v_self->ndim))); /* "View.MemoryView":136 * * self._shape = malloc(sizeof(Py_ssize_t)*self.ndim) * self._strides = malloc(sizeof(Py_ssize_t)*self.ndim) # <<<<<<<<<<<<<< * * if not self._shape or not self._strides: */ __pyx_v_self->_strides = ((Py_ssize_t *)malloc(((sizeof(Py_ssize_t)) * __pyx_v_self->ndim))); /* "View.MemoryView":138 * self._strides = malloc(sizeof(Py_ssize_t)*self.ndim) * * if not self._shape or not self._strides: # <<<<<<<<<<<<<< * free(self._shape) * free(self._strides) */ __pyx_t_2 = ((!(__pyx_v_self->_shape != 0)) != 0); if (!__pyx_t_2) { __pyx_t_5 = ((!(__pyx_v_self->_strides != 0)) != 0); __pyx_t_6 = __pyx_t_5; } else { __pyx_t_6 = __pyx_t_2; } if (__pyx_t_6) { /* "View.MemoryView":139 * * if not self._shape or not self._strides: * free(self._shape) # <<<<<<<<<<<<<< * free(self._strides) * raise MemoryError("unable to allocate shape or strides.") */ free(__pyx_v_self->_shape); /* "View.MemoryView":140 * if not self._shape or not self._strides: * free(self._shape) * free(self._strides) # <<<<<<<<<<<<<< * raise MemoryError("unable to allocate shape or strides.") * */ free(__pyx_v_self->_strides); /* "View.MemoryView":141 * free(self._shape) * free(self._strides) * raise MemoryError("unable to allocate shape or strides.") # <<<<<<<<<<<<<< * * */ __pyx_t_3 = PyObject_Call(__pyx_builtin_MemoryError, ((PyObject *)__pyx_k_tuple_20), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 141; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 141; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; /* "View.MemoryView":144 * * * idx = 0 # <<<<<<<<<<<<<< * for idx, dim in enumerate(shape): * if dim <= 0: */ __pyx_v_idx = 0; /* "View.MemoryView":145 * * idx = 0 * for idx, dim in enumerate(shape): # <<<<<<<<<<<<<< * if dim <= 0: * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) */ __pyx_t_7 = 0; __pyx_t_3 = ((PyObject *)__pyx_v_shape); __Pyx_INCREF(__pyx_t_3); __pyx_t_1 = 0; for (;;) { if (__pyx_t_1 >= PyTuple_GET_SIZE(__pyx_t_3)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_8 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_1); __Pyx_INCREF(__pyx_t_8); __pyx_t_1++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 145; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_8 = PySequence_ITEM(__pyx_t_3, __pyx_t_1); __pyx_t_1++; if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 145; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif __Pyx_XDECREF_SET(__pyx_v_dim, __pyx_t_8); __pyx_t_8 = 0; __pyx_v_idx = __pyx_t_7; __pyx_t_7 = (__pyx_t_7 + 1); /* "View.MemoryView":146 * idx = 0 * for idx, dim in enumerate(shape): * if dim <= 0: # <<<<<<<<<<<<<< * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) * */ __pyx_t_8 = PyObject_RichCompare(__pyx_v_dim, __pyx_int_0, Py_LE); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 146; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 146; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; if (__pyx_t_6) { /* "View.MemoryView":147 * for idx, dim in enumerate(shape): * if dim <= 0: * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) # <<<<<<<<<<<<<< * * self._shape[idx] = dim */ __pyx_t_8 = PyInt_FromLong(__pyx_v_idx); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __pyx_t_9 = PyTuple_New(2); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_8); __Pyx_GIVEREF(__pyx_t_8); __Pyx_INCREF(__pyx_v_dim); PyTuple_SET_ITEM(__pyx_t_9, 1, __pyx_v_dim); __Pyx_GIVEREF(__pyx_v_dim); __pyx_t_8 = 0; __pyx_t_8 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_21), ((PyObject *)__pyx_t_9)); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_8)); __Pyx_DECREF(((PyObject *)__pyx_t_9)); __pyx_t_9 = 0; __pyx_t_9 = PyTuple_New(1); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_9, 0, ((PyObject *)__pyx_t_8)); __Pyx_GIVEREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __pyx_t_8 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_9), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __Pyx_DECREF(((PyObject *)__pyx_t_9)); __pyx_t_9 = 0; __Pyx_Raise(__pyx_t_8, 0, 0, 0); __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 147; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L9; } __pyx_L9:; /* "View.MemoryView":149 * raise ValueError("Invalid shape in axis %d: %d." % (idx, dim)) * * self._shape[idx] = dim # <<<<<<<<<<<<<< * idx += 1 * */ __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_v_dim); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 149; __pyx_clineno = __LINE__; goto __pyx_L1_error;} (__pyx_v_self->_shape[__pyx_v_idx]) = __pyx_t_10; /* "View.MemoryView":150 * * self._shape[idx] = dim * idx += 1 # <<<<<<<<<<<<<< * * if mode not in ("fortran", "c"): */ __pyx_v_idx = (__pyx_v_idx + 1); } __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":152 * idx += 1 * * if mode not in ("fortran", "c"): # <<<<<<<<<<<<<< * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) * */ __Pyx_INCREF(__pyx_v_mode); __pyx_t_3 = __pyx_v_mode; __pyx_t_8 = PyObject_RichCompare(__pyx_t_3, ((PyObject *)__pyx_n_s__fortran), Py_NE); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely((__pyx_t_6 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; if (((int)__pyx_t_6)) { __pyx_t_8 = PyObject_RichCompare(__pyx_t_3, ((PyObject *)__pyx_n_s__c), Py_NE); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 152; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; __pyx_t_5 = ((int)__pyx_t_2); } else { __pyx_t_5 = ((int)__pyx_t_6); } __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_6 = (__pyx_t_5 != 0); if (__pyx_t_6) { /* "View.MemoryView":153 * * if mode not in ("fortran", "c"): * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) # <<<<<<<<<<<<<< * * cdef char order */ __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_22), __pyx_v_mode); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __pyx_t_8 = PyTuple_New(1); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_8, 0, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_8), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 153; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L10; } __pyx_L10:; /* "View.MemoryView":156 * * cdef char order * if mode == 'fortran': # <<<<<<<<<<<<<< * order = 'F' * else: */ __pyx_t_3 = PyObject_RichCompare(__pyx_v_mode, ((PyObject *)__pyx_n_s__fortran), Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 156; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 156; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_6) { /* "View.MemoryView":157 * cdef char order * if mode == 'fortran': * order = 'F' # <<<<<<<<<<<<<< * else: * order = 'C' */ __pyx_v_order = 'F'; goto __pyx_L11; } /*else*/ { /* "View.MemoryView":159 * order = 'F' * else: * order = 'C' # <<<<<<<<<<<<<< * * self.len = fill_contig_strides_array(self._shape, self._strides, */ __pyx_v_order = 'C'; } __pyx_L11:; /* "View.MemoryView":161 * order = 'C' * * self.len = fill_contig_strides_array(self._shape, self._strides, # <<<<<<<<<<<<<< * itemsize, self.ndim, order) * */ __pyx_v_self->len = __pyx_fill_contig_strides_array(__pyx_v_self->_shape, __pyx_v_self->_strides, __pyx_v_itemsize, __pyx_v_self->ndim, __pyx_v_order); /* "View.MemoryView":164 * itemsize, self.ndim, order) * * decode = getattr(mode, 'decode', None) # <<<<<<<<<<<<<< * if decode: * mode = decode('ASCII') */ __pyx_t_3 = __Pyx_GetAttr3(__pyx_v_mode, ((PyObject *)__pyx_n_s__decode), Py_None); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 164; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_decode = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":165 * * decode = getattr(mode, 'decode', None) * if decode: # <<<<<<<<<<<<<< * mode = decode('ASCII') * self.mode = mode */ __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_v_decode); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_6) { /* "View.MemoryView":166 * decode = getattr(mode, 'decode', None) * if decode: * mode = decode('ASCII') # <<<<<<<<<<<<<< * self.mode = mode * */ __pyx_t_3 = PyObject_Call(__pyx_v_decode, ((PyObject *)__pyx_k_tuple_23), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 166; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF_SET(__pyx_v_mode, __pyx_t_3); __pyx_t_3 = 0; goto __pyx_L12; } __pyx_L12:; /* "View.MemoryView":167 * if decode: * mode = decode('ASCII') * self.mode = mode # <<<<<<<<<<<<<< * * self.free_data = allocate_buffer */ if (!(likely(PyUnicode_CheckExact(__pyx_v_mode))||((__pyx_v_mode) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected unicode, got %.200s", Py_TYPE(__pyx_v_mode)->tp_name), 0))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 167; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_INCREF(__pyx_v_mode); __Pyx_GIVEREF(__pyx_v_mode); __Pyx_GOTREF(__pyx_v_self->mode); __Pyx_DECREF(((PyObject *)__pyx_v_self->mode)); __pyx_v_self->mode = ((PyObject*)__pyx_v_mode); /* "View.MemoryView":169 * self.mode = mode * * self.free_data = allocate_buffer # <<<<<<<<<<<<<< * self.dtype_is_object = format == b'O' * if allocate_buffer: */ __pyx_v_self->free_data = __pyx_v_allocate_buffer; /* "View.MemoryView":170 * * self.free_data = allocate_buffer * self.dtype_is_object = format == b'O' # <<<<<<<<<<<<<< * if allocate_buffer: * self.data = malloc(self.len) */ __pyx_t_3 = PyObject_RichCompare(__pyx_v_format, ((PyObject *)__pyx_n_b__O), Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 170; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_6 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 170; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_self->dtype_is_object = __pyx_t_6; /* "View.MemoryView":171 * self.free_data = allocate_buffer * self.dtype_is_object = format == b'O' * if allocate_buffer: # <<<<<<<<<<<<<< * self.data = malloc(self.len) * if not self.data: */ __pyx_t_6 = (__pyx_v_allocate_buffer != 0); if (__pyx_t_6) { /* "View.MemoryView":172 * self.dtype_is_object = format == b'O' * if allocate_buffer: * self.data = malloc(self.len) # <<<<<<<<<<<<<< * if not self.data: * raise MemoryError("unable to allocate array data.") */ __pyx_v_self->data = ((char *)malloc(__pyx_v_self->len)); /* "View.MemoryView":173 * if allocate_buffer: * self.data = malloc(self.len) * if not self.data: # <<<<<<<<<<<<<< * raise MemoryError("unable to allocate array data.") * */ __pyx_t_6 = ((!(__pyx_v_self->data != 0)) != 0); if (__pyx_t_6) { /* "View.MemoryView":174 * self.data = malloc(self.len) * if not self.data: * raise MemoryError("unable to allocate array data.") # <<<<<<<<<<<<<< * * if self.dtype_is_object: */ __pyx_t_3 = PyObject_Call(__pyx_builtin_MemoryError, ((PyObject *)__pyx_k_tuple_25), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 174; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 174; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L14; } __pyx_L14:; /* "View.MemoryView":176 * raise MemoryError("unable to allocate array data.") * * if self.dtype_is_object: # <<<<<<<<<<<<<< * p = self.data * for i in range(self.len / itemsize): */ __pyx_t_6 = (__pyx_v_self->dtype_is_object != 0); if (__pyx_t_6) { /* "View.MemoryView":177 * * if self.dtype_is_object: * p = self.data # <<<<<<<<<<<<<< * for i in range(self.len / itemsize): * p[i] = Py_None */ __pyx_v_p = ((PyObject **)__pyx_v_self->data); /* "View.MemoryView":178 * if self.dtype_is_object: * p = self.data * for i in range(self.len / itemsize): # <<<<<<<<<<<<<< * p[i] = Py_None * Py_INCREF(Py_None) */ if (unlikely(__pyx_v_itemsize == 0)) { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif PyErr_Format(PyExc_ZeroDivisionError, "integer division or modulo by zero"); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif {__pyx_filename = __pyx_f[2]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else if (sizeof(Py_ssize_t) == sizeof(long) && unlikely(__pyx_v_itemsize == -1) && unlikely(UNARY_NEG_WOULD_OVERFLOW(__pyx_v_self->len))) { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif PyErr_Format(PyExc_OverflowError, "value too large to perform division"); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif {__pyx_filename = __pyx_f[2]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_t_1 = __Pyx_div_Py_ssize_t(__pyx_v_self->len, __pyx_v_itemsize); for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_1; __pyx_t_10+=1) { __pyx_v_i = __pyx_t_10; /* "View.MemoryView":179 * p = self.data * for i in range(self.len / itemsize): * p[i] = Py_None # <<<<<<<<<<<<<< * Py_INCREF(Py_None) * */ (__pyx_v_p[__pyx_v_i]) = Py_None; /* "View.MemoryView":180 * for i in range(self.len / itemsize): * p[i] = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< * * @cname('getbuffer') */ Py_INCREF(Py_None); } goto __pyx_L15; } __pyx_L15:; goto __pyx_L13; } __pyx_L13:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_8); __Pyx_XDECREF(__pyx_t_9); __Pyx_AddTraceback("View.MemoryView.array.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_XDECREF(__pyx_v_encode); __Pyx_XDECREF(__pyx_v_dim); __Pyx_XDECREF(__pyx_v_decode); __Pyx_XDECREF(__pyx_v_format); __Pyx_XDECREF(__pyx_v_mode); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); __pyx_r = __pyx_array_getbuffer_MemoryView_5array_2__getbuffer__(((struct __pyx_array_obj *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":183 * * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< * cdef int bufmode = -1 * if self.mode == b"c": */ static int __pyx_array_getbuffer_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_v_bufmode; int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; char *__pyx_t_4; Py_ssize_t __pyx_t_5; int __pyx_t_6; Py_ssize_t *__pyx_t_7; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getbuffer__", 0); if (__pyx_v_info != NULL) { __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); } /* "View.MemoryView":184 * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): * cdef int bufmode = -1 # <<<<<<<<<<<<<< * if self.mode == b"c": * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS */ __pyx_v_bufmode = -1; /* "View.MemoryView":185 * def __getbuffer__(self, Py_buffer *info, int flags): * cdef int bufmode = -1 * if self.mode == b"c": # <<<<<<<<<<<<<< * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * elif self.mode == b"fortran": */ __pyx_t_1 = (__Pyx_PyUnicode_Equals(((PyObject *)__pyx_v_self->mode), ((PyObject *)__pyx_n_b__c), Py_EQ)); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 185; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":186 * cdef int bufmode = -1 * if self.mode == b"c": * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS # <<<<<<<<<<<<<< * elif self.mode == b"fortran": * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS */ __pyx_v_bufmode = (PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS); goto __pyx_L3; } /* "View.MemoryView":187 * if self.mode == b"c": * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * elif self.mode == b"fortran": # <<<<<<<<<<<<<< * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): */ __pyx_t_2 = (__Pyx_PyUnicode_Equals(((PyObject *)__pyx_v_self->mode), ((PyObject *)__pyx_n_b__fortran), Py_EQ)); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 187; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_1 = (__pyx_t_2 != 0); if (__pyx_t_1) { /* "View.MemoryView":188 * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * elif self.mode == b"fortran": * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS # <<<<<<<<<<<<<< * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") */ __pyx_v_bufmode = (PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":189 * elif self.mode == b"fortran": * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): # <<<<<<<<<<<<<< * raise ValueError("Can only create a buffer that is contiguous in memory.") * info.buf = self.data */ __pyx_t_1 = ((!((__pyx_v_flags & __pyx_v_bufmode) != 0)) != 0); if (__pyx_t_1) { /* "View.MemoryView":190 * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") # <<<<<<<<<<<<<< * info.buf = self.data * info.len = self.len */ __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_27), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":191 * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") * info.buf = self.data # <<<<<<<<<<<<<< * info.len = self.len * info.ndim = self.ndim */ __pyx_t_4 = __pyx_v_self->data; __pyx_v_info->buf = __pyx_t_4; /* "View.MemoryView":192 * raise ValueError("Can only create a buffer that is contiguous in memory.") * info.buf = self.data * info.len = self.len # <<<<<<<<<<<<<< * info.ndim = self.ndim * info.shape = self._shape */ __pyx_t_5 = __pyx_v_self->len; __pyx_v_info->len = __pyx_t_5; /* "View.MemoryView":193 * info.buf = self.data * info.len = self.len * info.ndim = self.ndim # <<<<<<<<<<<<<< * info.shape = self._shape * info.strides = self._strides */ __pyx_t_6 = __pyx_v_self->ndim; __pyx_v_info->ndim = __pyx_t_6; /* "View.MemoryView":194 * info.len = self.len * info.ndim = self.ndim * info.shape = self._shape # <<<<<<<<<<<<<< * info.strides = self._strides * info.suboffsets = NULL */ __pyx_t_7 = __pyx_v_self->_shape; __pyx_v_info->shape = __pyx_t_7; /* "View.MemoryView":195 * info.ndim = self.ndim * info.shape = self._shape * info.strides = self._strides # <<<<<<<<<<<<<< * info.suboffsets = NULL * info.itemsize = self.itemsize */ __pyx_t_7 = __pyx_v_self->_strides; __pyx_v_info->strides = __pyx_t_7; /* "View.MemoryView":196 * info.shape = self._shape * info.strides = self._strides * info.suboffsets = NULL # <<<<<<<<<<<<<< * info.itemsize = self.itemsize * info.readonly = 0 */ __pyx_v_info->suboffsets = NULL; /* "View.MemoryView":197 * info.strides = self._strides * info.suboffsets = NULL * info.itemsize = self.itemsize # <<<<<<<<<<<<<< * info.readonly = 0 * */ __pyx_t_5 = __pyx_v_self->itemsize; __pyx_v_info->itemsize = __pyx_t_5; /* "View.MemoryView":198 * info.suboffsets = NULL * info.itemsize = self.itemsize * info.readonly = 0 # <<<<<<<<<<<<<< * * if flags & PyBUF_FORMAT: */ __pyx_v_info->readonly = 0; /* "View.MemoryView":200 * info.readonly = 0 * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * info.format = self.format * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); if (__pyx_t_1) { /* "View.MemoryView":201 * * if flags & PyBUF_FORMAT: * info.format = self.format # <<<<<<<<<<<<<< * else: * info.format = NULL */ __pyx_t_4 = __pyx_v_self->format; __pyx_v_info->format = __pyx_t_4; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":203 * info.format = self.format * else: * info.format = NULL # <<<<<<<<<<<<<< * * info.obj = self */ __pyx_v_info->format = NULL; } __pyx_L5:; /* "View.MemoryView":205 * info.format = NULL * * info.obj = self # <<<<<<<<<<<<<< * * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") */ __Pyx_INCREF(((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.array.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; if (__pyx_v_info != NULL && __pyx_v_info->obj != NULL) { __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = NULL; } goto __pyx_L2; __pyx_L0:; if (__pyx_v_info != NULL && __pyx_v_info->obj == Py_None) { __Pyx_GOTREF(Py_None); __Pyx_DECREF(Py_None); __pyx_v_info->obj = NULL; } __pyx_L2:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static void __pyx_array___dealloc__(PyObject *__pyx_v_self); /*proto*/ static void __pyx_array___dealloc__(PyObject *__pyx_v_self) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); __pyx_array_MemoryView_5array_4__dealloc__(((struct __pyx_array_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":209 * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") * * def __dealloc__(array self): # <<<<<<<<<<<<<< * if self.callback_free_data != NULL: * self.callback_free_data(self.data) */ static void __pyx_array_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self) { __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("__dealloc__", 0); /* "View.MemoryView":210 * * def __dealloc__(array self): * if self.callback_free_data != NULL: # <<<<<<<<<<<<<< * self.callback_free_data(self.data) * elif self.free_data: */ __pyx_t_1 = ((__pyx_v_self->callback_free_data != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":211 * def __dealloc__(array self): * if self.callback_free_data != NULL: * self.callback_free_data(self.data) # <<<<<<<<<<<<<< * elif self.free_data: * if self.dtype_is_object: */ __pyx_v_self->callback_free_data(__pyx_v_self->data); goto __pyx_L3; } /* "View.MemoryView":212 * if self.callback_free_data != NULL: * self.callback_free_data(self.data) * elif self.free_data: # <<<<<<<<<<<<<< * if self.dtype_is_object: * refcount_objects_in_slice(self.data, self._shape, */ __pyx_t_1 = (__pyx_v_self->free_data != 0); if (__pyx_t_1) { /* "View.MemoryView":213 * self.callback_free_data(self.data) * elif self.free_data: * if self.dtype_is_object: # <<<<<<<<<<<<<< * refcount_objects_in_slice(self.data, self._shape, * self._strides, self.ndim, False) */ __pyx_t_1 = (__pyx_v_self->dtype_is_object != 0); if (__pyx_t_1) { /* "View.MemoryView":215 * if self.dtype_is_object: * refcount_objects_in_slice(self.data, self._shape, * self._strides, self.ndim, False) # <<<<<<<<<<<<<< * free(self.data) * */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_self->data, __pyx_v_self->_shape, __pyx_v_self->_strides, __pyx_v_self->ndim, 0); goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":216 * refcount_objects_in_slice(self.data, self._shape, * self._strides, self.ndim, False) * free(self.data) # <<<<<<<<<<<<<< * * free(self._strides) */ free(__pyx_v_self->data); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":218 * free(self.data) * * free(self._strides) # <<<<<<<<<<<<<< * free(self._shape) * */ free(__pyx_v_self->_strides); /* "View.MemoryView":219 * * free(self._strides) * free(self._shape) # <<<<<<<<<<<<<< * * property memview: */ free(__pyx_v_self->_shape); __Pyx_RefNannyFinishContext(); } /* Python wrapper */ static PyObject *get_memview(PyObject *__pyx_v_self); /*proto*/ static PyObject *get_memview(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = get_memview_MemoryView_5array_7memview___get__(((struct __pyx_array_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":223 * property memview: * @cname('get_memview') * def __get__(self): # <<<<<<<<<<<<<< * * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE */ static PyObject *get_memview_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self) { int __pyx_v_flags; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":225 * def __get__(self): * * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE # <<<<<<<<<<<<<< * return memoryview(self, flags, self.dtype_is_object) * */ __pyx_v_flags = ((PyBUF_ANY_CONTIGUOUS | PyBUF_FORMAT) | PyBUF_WRITABLE); /* "View.MemoryView":226 * * flags = PyBUF_ANY_CONTIGUOUS|PyBUF_FORMAT|PyBUF_WRITABLE * return memoryview(self, flags, self.dtype_is_object) # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyInt_FromLong(__pyx_v_flags); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_self->dtype_is_object); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(((PyObject *)__pyx_v_self)); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_1 = 0; __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(((PyObject *)((PyObject *)__pyx_memoryview_type)), ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 226; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.array.memview.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_array___getattr__(PyObject *__pyx_v_self, PyObject *__pyx_v_attr); /*proto*/ static PyObject *__pyx_array___getattr__(PyObject *__pyx_v_self, PyObject *__pyx_v_attr) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getattr__ (wrapper)", 0); __pyx_r = __pyx_array_MemoryView_5array_6__getattr__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_attr)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":229 * * * def __getattr__(self, attr): # <<<<<<<<<<<<<< * return getattr(self.memview, attr) * */ static PyObject *__pyx_array_MemoryView_5array_6__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getattr__", 0); /* "View.MemoryView":230 * * def __getattr__(self, attr): * return getattr(self.memview, attr) # <<<<<<<<<<<<<< * * def __getitem__(self, item): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__memview); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 230; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_GetAttr(__pyx_t_1, __pyx_v_attr); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 230; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.array.__getattr__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_array___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item); /*proto*/ static PyObject *__pyx_array___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getitem__ (wrapper)", 0); __pyx_r = __pyx_array_MemoryView_5array_8__getitem__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_item)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":232 * return getattr(self.memview, attr) * * def __getitem__(self, item): # <<<<<<<<<<<<<< * return self.memview[item] * */ static PyObject *__pyx_array_MemoryView_5array_8__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getitem__", 0); /* "View.MemoryView":233 * * def __getitem__(self, item): * return self.memview[item] # <<<<<<<<<<<<<< * * def __setitem__(self, item, value): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__memview); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 233; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyObject_GetItem(__pyx_t_1, __pyx_v_item); if (!__pyx_t_2) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 233; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.array.__getitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static int __pyx_array___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /*proto*/ static int __pyx_array___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__setitem__ (wrapper)", 0); __pyx_r = __pyx_array_MemoryView_5array_10__setitem__(((struct __pyx_array_obj *)__pyx_v_self), ((PyObject *)__pyx_v_item), ((PyObject *)__pyx_v_value)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":235 * return self.memview[item] * * def __setitem__(self, item, value): # <<<<<<<<<<<<<< * self.memview[item] = value * */ static int __pyx_array_MemoryView_5array_10__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value) { int __pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__setitem__", 0); /* "View.MemoryView":236 * * def __setitem__(self, item, value): * self.memview[item] = value # <<<<<<<<<<<<<< * * */ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__memview); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 236; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyObject_SetItem(__pyx_t_1, __pyx_v_item, __pyx_v_value) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 236; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.array.__setitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":240 * * @cname("__pyx_array_new") * cdef array array_cwrapper(tuple shape, Py_ssize_t itemsize, char *format, # <<<<<<<<<<<<<< * char *mode, char *buf): * cdef array result */ static struct __pyx_array_obj *__pyx_array_new(PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, char *__pyx_v_format, char *__pyx_v_mode, char *__pyx_v_buf) { struct __pyx_array_obj *__pyx_v_result = 0; struct __pyx_array_obj *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("array_cwrapper", 0); /* "View.MemoryView":244 * cdef array result * * if buf == NULL: # <<<<<<<<<<<<<< * result = array(shape, itemsize, format, mode.decode('ASCII')) * else: */ __pyx_t_1 = ((__pyx_v_buf == NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":245 * * if buf == NULL: * result = array(shape, itemsize, format, mode.decode('ASCII')) # <<<<<<<<<<<<<< * else: * result = array(shape, itemsize, format, mode.decode('ASCII'), */ __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_itemsize); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __Pyx_PyBytes_FromString(__pyx_v_format); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __pyx_t_4 = ((PyObject *)__Pyx_decode_c_string(__pyx_v_mode, 0, strlen(__pyx_v_mode), NULL, NULL, PyUnicode_DecodeASCII)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __pyx_t_5 = PyTuple_New(4); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_INCREF(((PyObject *)__pyx_v_shape)); PyTuple_SET_ITEM(__pyx_t_5, 0, ((PyObject *)__pyx_v_shape)); __Pyx_GIVEREF(((PyObject *)__pyx_v_shape)); PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_5, 2, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); PyTuple_SET_ITEM(__pyx_t_5, 3, ((PyObject *)__pyx_t_4)); __Pyx_GIVEREF(((PyObject *)__pyx_t_4)); __pyx_t_2 = 0; __pyx_t_3 = 0; __pyx_t_4 = 0; __pyx_t_4 = PyObject_Call(((PyObject *)((PyObject *)__pyx_array_type)), ((PyObject *)__pyx_t_5), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 245; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; __pyx_v_result = ((struct __pyx_array_obj *)__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":247 * result = array(shape, itemsize, format, mode.decode('ASCII')) * else: * result = array(shape, itemsize, format, mode.decode('ASCII'), # <<<<<<<<<<<<<< * allocate_buffer=False) * result.data = buf */ __pyx_t_4 = PyInt_FromSsize_t(__pyx_v_itemsize); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_5 = __Pyx_PyBytes_FromString(__pyx_v_format); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __pyx_t_3 = ((PyObject *)__Pyx_decode_c_string(__pyx_v_mode, 0, strlen(__pyx_v_mode), NULL, NULL, PyUnicode_DecodeASCII)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __pyx_t_2 = PyTuple_New(4); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)__pyx_v_shape)); PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_shape)); __Pyx_GIVEREF(((PyObject *)__pyx_v_shape)); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_2, 2, ((PyObject *)__pyx_t_5)); __Pyx_GIVEREF(((PyObject *)__pyx_t_5)); PyTuple_SET_ITEM(__pyx_t_2, 3, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); __pyx_t_4 = 0; __pyx_t_5 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyDict_New(); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); /* "View.MemoryView":248 * else: * result = array(shape, itemsize, format, mode.decode('ASCII'), * allocate_buffer=False) # <<<<<<<<<<<<<< * result.data = buf * */ __pyx_t_5 = __Pyx_PyBool_FromLong(0); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 248; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); if (PyDict_SetItem(__pyx_t_3, ((PyObject *)__pyx_n_s__allocate_buffer), __pyx_t_5) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __pyx_t_5 = PyObject_Call(((PyObject *)((PyObject *)__pyx_array_type)), ((PyObject *)__pyx_t_2), ((PyObject *)__pyx_t_3)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 247; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_v_result = ((struct __pyx_array_obj *)__pyx_t_5); __pyx_t_5 = 0; /* "View.MemoryView":249 * result = array(shape, itemsize, format, mode.decode('ASCII'), * allocate_buffer=False) * result.data = buf # <<<<<<<<<<<<<< * * return result */ __pyx_v_result->data = __pyx_v_buf; } __pyx_L3:; /* "View.MemoryView":251 * result.data = buf * * return result # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(((PyObject *)__pyx_r)); __Pyx_INCREF(((PyObject *)__pyx_v_result)); __pyx_r = __pyx_v_result; goto __pyx_L0; __pyx_r = ((struct __pyx_array_obj *)Py_None); __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.array_cwrapper", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_result); __Pyx_XGIVEREF((PyObject *)__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static int __pyx_MemviewEnum___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ static int __pyx_MemviewEnum___init__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_name = 0; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__init__ (wrapper)", 0); { static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__name,0}; PyObject* values[1] = {0}; if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = PyDict_Size(__pyx_kwds); switch (pos_args) { case 0: if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__name)) != 0)) kw_args--; else goto __pyx_L5_argtuple_error; } if (unlikely(kw_args > 0)) { if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__init__") < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 277; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } else if (PyTuple_GET_SIZE(__pyx_args) != 1) { goto __pyx_L5_argtuple_error; } else { values[0] = PyTuple_GET_ITEM(__pyx_args, 0); } __pyx_v_name = values[0]; } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("__init__", 1, 1, 1, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 277; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("View.MemoryView.Enum.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return -1; __pyx_L4_argument_unpacking_done:; __pyx_r = __pyx_MemviewEnum_MemoryView_4Enum___init__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self), __pyx_v_name); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":277 * cdef class Enum(object): * cdef object name * def __init__(self, name): # <<<<<<<<<<<<<< * self.name = name * def __repr__(self): */ static int __pyx_MemviewEnum_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__init__", 0); /* "View.MemoryView":278 * cdef object name * def __init__(self, name): * self.name = name # <<<<<<<<<<<<<< * def __repr__(self): * return self.name */ __Pyx_INCREF(__pyx_v_name); __Pyx_GIVEREF(__pyx_v_name); __Pyx_GOTREF(__pyx_v_self->name); __Pyx_DECREF(__pyx_v_self->name); __pyx_v_self->name = __pyx_v_name; __pyx_r = 0; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_MemviewEnum___repr__(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_MemviewEnum___repr__(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__repr__ (wrapper)", 0); __pyx_r = __pyx_MemviewEnum_MemoryView_4Enum_2__repr__(((struct __pyx_MemviewEnum_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":279 * def __init__(self, name): * self.name = name * def __repr__(self): # <<<<<<<<<<<<<< * return self.name * */ static PyObject *__pyx_MemviewEnum_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__repr__", 0); /* "View.MemoryView":280 * self.name = name * def __repr__(self): * return self.name # <<<<<<<<<<<<<< * * cdef generic = Enum("") */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_self->name); __pyx_r = __pyx_v_self->name; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":294 * * @cname('__pyx_align_pointer') * cdef void *align_pointer(void *memory, size_t alignment) nogil: # <<<<<<<<<<<<<< * "Align pointer memory on a given boundary" * cdef Py_intptr_t aligned_p = memory */ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) { Py_intptr_t __pyx_v_aligned_p; size_t __pyx_v_offset; void *__pyx_r; int __pyx_t_1; /* "View.MemoryView":296 * cdef void *align_pointer(void *memory, size_t alignment) nogil: * "Align pointer memory on a given boundary" * cdef Py_intptr_t aligned_p = memory # <<<<<<<<<<<<<< * cdef size_t offset * */ __pyx_v_aligned_p = ((Py_intptr_t)__pyx_v_memory); /* "View.MemoryView":300 * * with cython.cdivision(True): * offset = aligned_p % alignment # <<<<<<<<<<<<<< * * if offset > 0: */ __pyx_v_offset = (__pyx_v_aligned_p % __pyx_v_alignment); /* "View.MemoryView":302 * offset = aligned_p % alignment * * if offset > 0: # <<<<<<<<<<<<<< * aligned_p += alignment - offset * */ __pyx_t_1 = ((__pyx_v_offset > 0) != 0); if (__pyx_t_1) { /* "View.MemoryView":303 * * if offset > 0: * aligned_p += alignment - offset # <<<<<<<<<<<<<< * * return aligned_p */ __pyx_v_aligned_p = (__pyx_v_aligned_p + (__pyx_v_alignment - __pyx_v_offset)); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":305 * aligned_p += alignment - offset * * return aligned_p # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview') */ __pyx_r = ((void *)__pyx_v_aligned_p); goto __pyx_L0; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* Python wrapper */ static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { PyObject *__pyx_v_obj = 0; int __pyx_v_flags; int __pyx_v_dtype_is_object; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__cinit__ (wrapper)", 0); { static PyObject **__pyx_pyargnames[] = {&__pyx_n_s__obj,&__pyx_n_s__flags,&__pyx_n_s__dtype_is_object,0}; PyObject* values[3] = {0,0,0}; if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); case 1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0); case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = PyDict_Size(__pyx_kwds); switch (pos_args) { case 0: if (likely((values[0] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__obj)) != 0)) kw_args--; else goto __pyx_L5_argtuple_error; case 1: if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s__flags)) != 0)) kw_args--; else { __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, 1); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } case 2: if (kw_args > 0) { PyObject* value = PyDict_GetItem(__pyx_kwds, __pyx_n_s__dtype_is_object); if (value) { values[2] = value; kw_args--; } } } if (unlikely(kw_args > 0)) { if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } } else { switch (PyTuple_GET_SIZE(__pyx_args)) { case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); case 2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1); values[0] = PyTuple_GET_ITEM(__pyx_args, 0); break; default: goto __pyx_L5_argtuple_error; } } __pyx_v_obj = values[0]; __pyx_v_flags = __Pyx_PyInt_AsInt(values[1]); if (unlikely((__pyx_v_flags == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} if (values[2]) { __pyx_v_dtype_is_object = __Pyx_PyObject_IsTrue(values[2]); if (unlikely((__pyx_v_dtype_is_object == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} } else { /* "View.MemoryView":323 * cdef __Pyx_TypeInfo *typeinfo * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): # <<<<<<<<<<<<<< * self.obj = obj * self.flags = flags */ __pyx_v_dtype_is_object = ((int)0); } } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 323; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __pyx_L3_error:; __Pyx_AddTraceback("View.MemoryView.memoryview.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return -1; __pyx_L4_argument_unpacking_done:; __pyx_r = __pyx_memoryview_MemoryView_10memoryview___cinit__(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_obj, __pyx_v_flags, __pyx_v_dtype_is_object); __Pyx_RefNannyFinishContext(); return __pyx_r; } static int __pyx_memoryview_MemoryView_10memoryview___cinit__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj, int __pyx_v_flags, int __pyx_v_dtype_is_object) { int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__cinit__", 0); /* "View.MemoryView":324 * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): * self.obj = obj # <<<<<<<<<<<<<< * self.flags = flags * if type(self) is memoryview or obj is not None: */ __Pyx_INCREF(__pyx_v_obj); __Pyx_GIVEREF(__pyx_v_obj); __Pyx_GOTREF(__pyx_v_self->obj); __Pyx_DECREF(__pyx_v_self->obj); __pyx_v_self->obj = __pyx_v_obj; /* "View.MemoryView":325 * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): * self.obj = obj * self.flags = flags # <<<<<<<<<<<<<< * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) */ __pyx_v_self->flags = __pyx_v_flags; /* "View.MemoryView":326 * self.obj = obj * self.flags = flags * if type(self) is memoryview or obj is not None: # <<<<<<<<<<<<<< * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: */ __pyx_t_1 = (((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self))) == ((PyObject *)((PyObject *)__pyx_memoryview_type))); if (!(__pyx_t_1 != 0)) { __pyx_t_2 = (__pyx_v_obj != Py_None); __pyx_t_3 = (__pyx_t_2 != 0); } else { __pyx_t_3 = (__pyx_t_1 != 0); } if (__pyx_t_3) { /* "View.MemoryView":327 * self.flags = flags * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) # <<<<<<<<<<<<<< * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None */ __pyx_t_4 = __Pyx_GetBuffer(__pyx_v_obj, (&__pyx_v_self->view), __pyx_v_flags); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 327; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":328 * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: # <<<<<<<<<<<<<< * (<__pyx_buffer *> &self.view).obj = Py_None * Py_INCREF(Py_None) */ __pyx_t_3 = ((((PyObject *)__pyx_v_self->view.obj) == NULL) != 0); if (__pyx_t_3) { /* "View.MemoryView":329 * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None # <<<<<<<<<<<<<< * Py_INCREF(Py_None) * */ ((Py_buffer *)(&__pyx_v_self->view))->obj = Py_None; /* "View.MemoryView":330 * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< * * self.lock = PyThread_allocate_lock() */ Py_INCREF(Py_None); goto __pyx_L4; } __pyx_L4:; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":332 * Py_INCREF(Py_None) * * self.lock = PyThread_allocate_lock() # <<<<<<<<<<<<<< * if self.lock == NULL: * raise MemoryError */ __pyx_v_self->lock = PyThread_allocate_lock(); /* "View.MemoryView":333 * * self.lock = PyThread_allocate_lock() * if self.lock == NULL: # <<<<<<<<<<<<<< * raise MemoryError * */ __pyx_t_3 = ((__pyx_v_self->lock == NULL) != 0); if (__pyx_t_3) { /* "View.MemoryView":334 * self.lock = PyThread_allocate_lock() * if self.lock == NULL: * raise MemoryError # <<<<<<<<<<<<<< * * if flags & PyBUF_FORMAT: */ PyErr_NoMemory(); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 334; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; /* "View.MemoryView":336 * raise MemoryError * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * self.dtype_is_object = self.view.format == b'O' * else: */ __pyx_t_3 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); if (__pyx_t_3) { /* "View.MemoryView":337 * * if flags & PyBUF_FORMAT: * self.dtype_is_object = self.view.format == b'O' # <<<<<<<<<<<<<< * else: * self.dtype_is_object = dtype_is_object */ __pyx_t_5 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 337; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __pyx_t_6 = PyObject_RichCompare(((PyObject *)__pyx_t_5), ((PyObject *)__pyx_n_b__O), Py_EQ); __Pyx_XGOTREF(__pyx_t_6); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 337; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely((__pyx_t_3 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 337; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __pyx_v_self->dtype_is_object = __pyx_t_3; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":339 * self.dtype_is_object = self.view.format == b'O' * else: * self.dtype_is_object = dtype_is_object # <<<<<<<<<<<<<< * * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( */ __pyx_v_self->dtype_is_object = __pyx_v_dtype_is_object; } __pyx_L6:; /* "View.MemoryView":341 * self.dtype_is_object = dtype_is_object * * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( # <<<<<<<<<<<<<< * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) * self.typeinfo = NULL */ __pyx_v_self->acquisition_count_aligned_p = ((__pyx_atomic_int *)__pyx_align_pointer(((void *)(&(__pyx_v_self->acquisition_count[0]))), (sizeof(__pyx_atomic_int)))); /* "View.MemoryView":343 * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) * self.typeinfo = NULL # <<<<<<<<<<<<<< * * def __dealloc__(memoryview self): */ __pyx_v_self->typeinfo = NULL; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_AddTraceback("View.MemoryView.memoryview.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static void __pyx_memoryview___dealloc__(PyObject *__pyx_v_self); /*proto*/ static void __pyx_memoryview___dealloc__(PyObject *__pyx_v_self) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); __pyx_memoryview_MemoryView_10memoryview_2__dealloc__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":345 * self.typeinfo = NULL * * def __dealloc__(memoryview self): # <<<<<<<<<<<<<< * if self.obj is not None: * __Pyx_ReleaseBuffer(&self.view) */ static void __pyx_memoryview_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; __Pyx_RefNannySetupContext("__dealloc__", 0); /* "View.MemoryView":346 * * def __dealloc__(memoryview self): * if self.obj is not None: # <<<<<<<<<<<<<< * __Pyx_ReleaseBuffer(&self.view) * */ __pyx_t_1 = (__pyx_v_self->obj != Py_None); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":347 * def __dealloc__(memoryview self): * if self.obj is not None: * __Pyx_ReleaseBuffer(&self.view) # <<<<<<<<<<<<<< * * if self.lock != NULL: */ __Pyx_ReleaseBuffer((&__pyx_v_self->view)); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":349 * __Pyx_ReleaseBuffer(&self.view) * * if self.lock != NULL: # <<<<<<<<<<<<<< * PyThread_free_lock(self.lock) * */ __pyx_t_2 = ((__pyx_v_self->lock != NULL) != 0); if (__pyx_t_2) { /* "View.MemoryView":350 * * if self.lock != NULL: * PyThread_free_lock(self.lock) # <<<<<<<<<<<<<< * * cdef char *get_item_pointer(memoryview self, object index) except NULL: */ PyThread_free_lock(__pyx_v_self->lock); goto __pyx_L4; } __pyx_L4:; __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":352 * PyThread_free_lock(self.lock) * * cdef char *get_item_pointer(memoryview self, object index) except NULL: # <<<<<<<<<<<<<< * cdef Py_ssize_t dim * cdef char *itemp = self.view.buf */ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index) { Py_ssize_t __pyx_v_dim; char *__pyx_v_itemp; PyObject *__pyx_v_idx = NULL; char *__pyx_r; __Pyx_RefNannyDeclarations Py_ssize_t __pyx_t_1; PyObject *__pyx_t_2 = NULL; Py_ssize_t __pyx_t_3; PyObject *(*__pyx_t_4)(PyObject *); PyObject *__pyx_t_5 = NULL; Py_ssize_t __pyx_t_6; char *__pyx_t_7; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("get_item_pointer", 0); /* "View.MemoryView":354 * cdef char *get_item_pointer(memoryview self, object index) except NULL: * cdef Py_ssize_t dim * cdef char *itemp = self.view.buf # <<<<<<<<<<<<<< * * for dim, idx in enumerate(index): */ __pyx_v_itemp = ((char *)__pyx_v_self->view.buf); /* "View.MemoryView":356 * cdef char *itemp = self.view.buf * * for dim, idx in enumerate(index): # <<<<<<<<<<<<<< * itemp = pybuffer_index(&self.view, itemp, idx, dim) * */ __pyx_t_1 = 0; if (PyList_CheckExact(__pyx_v_index) || PyTuple_CheckExact(__pyx_v_index)) { __pyx_t_2 = __pyx_v_index; __Pyx_INCREF(__pyx_t_2); __pyx_t_3 = 0; __pyx_t_4 = NULL; } else { __pyx_t_3 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_v_index); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_4 = Py_TYPE(__pyx_t_2)->tp_iternext; } for (;;) { if (!__pyx_t_4 && PyList_CheckExact(__pyx_t_2)) { if (__pyx_t_3 >= PyList_GET_SIZE(__pyx_t_2)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_5 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else if (!__pyx_t_4 && PyTuple_CheckExact(__pyx_t_2)) { if (__pyx_t_3 >= PyTuple_GET_SIZE(__pyx_t_2)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_5 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else { __pyx_t_5 = __pyx_t_4(__pyx_t_2); if (unlikely(!__pyx_t_5)) { if (PyErr_Occurred()) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear(); else {__pyx_filename = __pyx_f[2]; __pyx_lineno = 356; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } break; } __Pyx_GOTREF(__pyx_t_5); } __Pyx_XDECREF_SET(__pyx_v_idx, __pyx_t_5); __pyx_t_5 = 0; __pyx_v_dim = __pyx_t_1; __pyx_t_1 = (__pyx_t_1 + 1); /* "View.MemoryView":357 * * for dim, idx in enumerate(index): * itemp = pybuffer_index(&self.view, itemp, idx, dim) # <<<<<<<<<<<<<< * * return itemp */ __pyx_t_6 = __Pyx_PyIndex_AsSsize_t(__pyx_v_idx); if (unlikely((__pyx_t_6 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 357; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_7 = __pyx_pybuffer_index((&__pyx_v_self->view), __pyx_v_itemp, __pyx_t_6, __pyx_v_dim); if (unlikely(__pyx_t_7 == NULL)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 357; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_itemp = __pyx_t_7; } __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; /* "View.MemoryView":359 * itemp = pybuffer_index(&self.view, itemp, idx, dim) * * return itemp # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_itemp; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.memoryview.get_item_pointer", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF(__pyx_v_idx); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index); /*proto*/ static PyObject *__pyx_memoryview___getitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getitem__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_4__getitem__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((PyObject *)__pyx_v_index)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":362 * * * def __getitem__(memoryview self, object index): # <<<<<<<<<<<<<< * if index is Ellipsis: * return self */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index) { PyObject *__pyx_v_have_slices = NULL; PyObject *__pyx_v_indices = NULL; char *__pyx_v_itemp; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; PyObject *(*__pyx_t_7)(PyObject *); char *__pyx_t_8; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__getitem__", 0); /* "View.MemoryView":363 * * def __getitem__(memoryview self, object index): * if index is Ellipsis: # <<<<<<<<<<<<<< * return self * */ __pyx_t_1 = (__pyx_v_index == __pyx_builtin_Ellipsis); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":364 * def __getitem__(memoryview self, object index): * if index is Ellipsis: * return self # <<<<<<<<<<<<<< * * have_slices, indices = _unellipsify(index, self.view.ndim) */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_self)); __pyx_r = ((PyObject *)__pyx_v_self); goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":366 * return self * * have_slices, indices = _unellipsify(index, self.view.ndim) # <<<<<<<<<<<<<< * * cdef char *itemp */ __pyx_t_3 = ((PyObject *)_unellipsify(__pyx_v_index, __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (likely(PyTuple_CheckExact(__pyx_t_3))) { PyObject* sequence = __pyx_t_3; #if CYTHON_COMPILING_IN_CPYTHON Py_ssize_t size = Py_SIZE(sequence); #else Py_ssize_t size = PySequence_Size(sequence); #endif if (unlikely(size != 2)) { if (size > 2) __Pyx_RaiseTooManyValuesError(2); else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_4 = PyTuple_GET_ITEM(sequence, 0); __pyx_t_5 = PyTuple_GET_ITEM(sequence, 1); __Pyx_INCREF(__pyx_t_4); __Pyx_INCREF(__pyx_t_5); #else __pyx_t_4 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_5 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); #endif __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } else if (1) { __Pyx_RaiseNoneNotIterableError(); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else { Py_ssize_t index = -1; __pyx_t_6 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_7 = Py_TYPE(__pyx_t_6)->tp_iternext; index = 0; __pyx_t_4 = __pyx_t_7(__pyx_t_6); if (unlikely(!__pyx_t_4)) goto __pyx_L4_unpacking_failed; __Pyx_GOTREF(__pyx_t_4); index = 1; __pyx_t_5 = __pyx_t_7(__pyx_t_6); if (unlikely(!__pyx_t_5)) goto __pyx_L4_unpacking_failed; __Pyx_GOTREF(__pyx_t_5); if (__Pyx_IternextUnpackEndCheck(__pyx_t_7(__pyx_t_6), 2) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_7 = NULL; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; goto __pyx_L5_unpacking_done; __pyx_L4_unpacking_failed:; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __pyx_t_7 = NULL; if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 366; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_L5_unpacking_done:; } __pyx_v_have_slices = __pyx_t_4; __pyx_t_4 = 0; __pyx_v_indices = __pyx_t_5; __pyx_t_5 = 0; /* "View.MemoryView":369 * * cdef char *itemp * if have_slices: # <<<<<<<<<<<<<< * return memview_slice(self, indices) * else: */ __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_2 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 369; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_2) { /* "View.MemoryView":370 * cdef char *itemp * if have_slices: * return memview_slice(self, indices) # <<<<<<<<<<<<<< * else: * itemp = self.get_item_pointer(indices) */ __Pyx_XDECREF(__pyx_r); __pyx_t_3 = ((PyObject *)__pyx_memview_slice(__pyx_v_self, __pyx_v_indices)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 370; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; goto __pyx_L0; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":372 * return memview_slice(self, indices) * else: * itemp = self.get_item_pointer(indices) # <<<<<<<<<<<<<< * return self.convert_item_to_object(itemp) * */ __pyx_t_8 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->get_item_pointer(__pyx_v_self, __pyx_v_indices); if (unlikely(__pyx_t_8 == NULL)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 372; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_itemp = __pyx_t_8; /* "View.MemoryView":373 * else: * itemp = self.get_item_pointer(indices) * return self.convert_item_to_object(itemp) # <<<<<<<<<<<<<< * * def __setitem__(memoryview self, object index, object value): */ __Pyx_XDECREF(__pyx_r); __pyx_t_3 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->convert_item_to_object(__pyx_v_self, __pyx_v_itemp); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 373; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; goto __pyx_L0; } __pyx_L6:; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_AddTraceback("View.MemoryView.memoryview.__getitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF(__pyx_v_have_slices); __Pyx_XDECREF(__pyx_v_indices); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static int __pyx_memoryview___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /*proto*/ static int __pyx_memoryview___setitem__(PyObject *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__setitem__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_6__setitem__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((PyObject *)__pyx_v_index), ((PyObject *)__pyx_v_value)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":375 * return self.convert_item_to_object(itemp) * * def __setitem__(memoryview self, object index, object value): # <<<<<<<<<<<<<< * have_slices, index = _unellipsify(index, self.view.ndim) * */ static int __pyx_memoryview_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { PyObject *__pyx_v_have_slices = NULL; PyObject *__pyx_v_obj = NULL; int __pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *(*__pyx_t_5)(PyObject *); int __pyx_t_6; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__setitem__", 0); __Pyx_INCREF(__pyx_v_index); /* "View.MemoryView":376 * * def __setitem__(memoryview self, object index, object value): * have_slices, index = _unellipsify(index, self.view.ndim) # <<<<<<<<<<<<<< * * if have_slices: */ __pyx_t_1 = ((PyObject *)_unellipsify(__pyx_v_index, __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (likely(PyTuple_CheckExact(__pyx_t_1))) { PyObject* sequence = __pyx_t_1; #if CYTHON_COMPILING_IN_CPYTHON Py_ssize_t size = Py_SIZE(sequence); #else Py_ssize_t size = PySequence_Size(sequence); #endif if (unlikely(size != 2)) { if (size > 2) __Pyx_RaiseTooManyValuesError(2); else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_2 = PyTuple_GET_ITEM(sequence, 0); __pyx_t_3 = PyTuple_GET_ITEM(sequence, 1); __Pyx_INCREF(__pyx_t_2); __Pyx_INCREF(__pyx_t_3); #else __pyx_t_2 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); #endif __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; } else if (1) { __Pyx_RaiseNoneNotIterableError(); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else { Py_ssize_t index = -1; __pyx_t_4 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_5 = Py_TYPE(__pyx_t_4)->tp_iternext; index = 0; __pyx_t_2 = __pyx_t_5(__pyx_t_4); if (unlikely(!__pyx_t_2)) goto __pyx_L3_unpacking_failed; __Pyx_GOTREF(__pyx_t_2); index = 1; __pyx_t_3 = __pyx_t_5(__pyx_t_4); if (unlikely(!__pyx_t_3)) goto __pyx_L3_unpacking_failed; __Pyx_GOTREF(__pyx_t_3); if (__Pyx_IternextUnpackEndCheck(__pyx_t_5(__pyx_t_4), 2) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_5 = NULL; __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L4_unpacking_done; __pyx_L3_unpacking_failed:; __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_5 = NULL; if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 376; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_L4_unpacking_done:; } __pyx_v_have_slices = __pyx_t_2; __pyx_t_2 = 0; __Pyx_DECREF_SET(__pyx_v_index, __pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":378 * have_slices, index = _unellipsify(index, self.view.ndim) * * if have_slices: # <<<<<<<<<<<<<< * obj = self.is_slice(value) * if obj: */ __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 378; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_6) { /* "View.MemoryView":379 * * if have_slices: * obj = self.is_slice(value) # <<<<<<<<<<<<<< * if obj: * self.setitem_slice_assignment(self[index], obj) */ __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->is_slice(__pyx_v_self, __pyx_v_value); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 379; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_v_obj = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":380 * if have_slices: * obj = self.is_slice(value) * if obj: # <<<<<<<<<<<<<< * self.setitem_slice_assignment(self[index], obj) * else: */ __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_v_obj); if (unlikely(__pyx_t_6 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 380; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_6) { /* "View.MemoryView":381 * obj = self.is_slice(value) * if obj: * self.setitem_slice_assignment(self[index], obj) # <<<<<<<<<<<<<< * else: * self.setitem_slice_assign_scalar(self[index], value) */ __pyx_t_1 = PyObject_GetItem(((PyObject *)__pyx_v_self), __pyx_v_index); if (!__pyx_t_1) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 381; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_slice_assignment(__pyx_v_self, __pyx_t_1, __pyx_v_obj); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 381; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":383 * self.setitem_slice_assignment(self[index], obj) * else: * self.setitem_slice_assign_scalar(self[index], value) # <<<<<<<<<<<<<< * else: * self.setitem_indexed(index, value) */ __pyx_t_3 = PyObject_GetItem(((PyObject *)__pyx_v_self), __pyx_v_index); if (!__pyx_t_3) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 383; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 383; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_slice_assign_scalar(__pyx_v_self, ((struct __pyx_memoryview_obj *)__pyx_t_3), __pyx_v_value); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 383; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; } __pyx_L6:; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":385 * self.setitem_slice_assign_scalar(self[index], value) * else: * self.setitem_indexed(index, value) # <<<<<<<<<<<<<< * * cdef is_slice(self, obj): */ __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->setitem_indexed(__pyx_v_self, __pyx_v_index, __pyx_v_value); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 385; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; } __pyx_L5:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.memoryview.__setitem__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_XDECREF(__pyx_v_have_slices); __Pyx_XDECREF(__pyx_v_obj); __Pyx_XDECREF(__pyx_v_index); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":387 * self.setitem_indexed(index, value) * * cdef is_slice(self, obj): # <<<<<<<<<<<<<< * if not isinstance(obj, memoryview): * try: */ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; PyObject *__pyx_t_7 = NULL; PyObject *__pyx_t_8 = NULL; int __pyx_t_9; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("is_slice", 0); __Pyx_INCREF(__pyx_v_obj); /* "View.MemoryView":388 * * cdef is_slice(self, obj): * if not isinstance(obj, memoryview): # <<<<<<<<<<<<<< * try: * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, */ __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_obj, ((PyObject *)__pyx_memoryview_type)); __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":389 * cdef is_slice(self, obj): * if not isinstance(obj, memoryview): * try: # <<<<<<<<<<<<<< * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, * self.dtype_is_object) */ { __Pyx_ExceptionSave(&__pyx_t_3, &__pyx_t_4, &__pyx_t_5); __Pyx_XGOTREF(__pyx_t_3); __Pyx_XGOTREF(__pyx_t_4); __Pyx_XGOTREF(__pyx_t_5); /*try:*/ { /* "View.MemoryView":390 * if not isinstance(obj, memoryview): * try: * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, # <<<<<<<<<<<<<< * self.dtype_is_object) * except TypeError: */ __pyx_t_6 = PyInt_FromLong((__pyx_v_self->flags | PyBUF_ANY_CONTIGUOUS)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 390; __pyx_clineno = __LINE__; goto __pyx_L4_error;} __Pyx_GOTREF(__pyx_t_6); /* "View.MemoryView":391 * try: * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, * self.dtype_is_object) # <<<<<<<<<<<<<< * except TypeError: * return None */ __pyx_t_7 = __Pyx_PyBool_FromLong(__pyx_v_self->dtype_is_object); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 391; __pyx_clineno = __LINE__; goto __pyx_L4_error;} __Pyx_GOTREF(__pyx_t_7); __pyx_t_8 = PyTuple_New(3); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 390; __pyx_clineno = __LINE__; goto __pyx_L4_error;} __Pyx_GOTREF(__pyx_t_8); __Pyx_INCREF(__pyx_v_obj); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_v_obj); __Pyx_GIVEREF(__pyx_v_obj); PyTuple_SET_ITEM(__pyx_t_8, 1, __pyx_t_6); __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_8, 2, __pyx_t_7); __Pyx_GIVEREF(__pyx_t_7); __pyx_t_6 = 0; __pyx_t_7 = 0; __pyx_t_7 = PyObject_Call(((PyObject *)((PyObject *)__pyx_memoryview_type)), ((PyObject *)__pyx_t_8), NULL); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 390; __pyx_clineno = __LINE__; goto __pyx_L4_error;} __Pyx_GOTREF(__pyx_t_7); __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __Pyx_DECREF_SET(__pyx_v_obj, __pyx_t_7); __pyx_t_7 = 0; } __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; goto __pyx_L11_try_end; __pyx_L4_error:; __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; /* "View.MemoryView":392 * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, * self.dtype_is_object) * except TypeError: # <<<<<<<<<<<<<< * return None * */ __pyx_t_9 = PyErr_ExceptionMatches(__pyx_builtin_TypeError); if (__pyx_t_9) { __Pyx_AddTraceback("View.MemoryView.memoryview.is_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); if (__Pyx_GetException(&__pyx_t_7, &__pyx_t_8, &__pyx_t_6) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 392; __pyx_clineno = __LINE__; goto __pyx_L6_except_error;} __Pyx_GOTREF(__pyx_t_7); __Pyx_GOTREF(__pyx_t_8); __Pyx_GOTREF(__pyx_t_6); /* "View.MemoryView":393 * self.dtype_is_object) * except TypeError: * return None # <<<<<<<<<<<<<< * * return obj */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(Py_None); __pyx_r = Py_None; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; goto __pyx_L7_except_return; __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; goto __pyx_L5_exception_handled; } __pyx_L6_except_error:; __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_XGIVEREF(__pyx_t_5); __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5); goto __pyx_L1_error; __pyx_L7_except_return:; __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_XGIVEREF(__pyx_t_5); __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5); goto __pyx_L0; __pyx_L5_exception_handled:; __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_XGIVEREF(__pyx_t_5); __Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5); __pyx_L11_try_end:; } goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":395 * return None * * return obj # <<<<<<<<<<<<<< * * cdef setitem_slice_assignment(self, dst, src): */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_obj); __pyx_r = __pyx_v_obj; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_7); __Pyx_XDECREF(__pyx_t_8); __Pyx_AddTraceback("View.MemoryView.memoryview.is_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF(__pyx_v_obj); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":397 * return obj * * cdef setitem_slice_assignment(self, dst, src): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice dst_slice * cdef __Pyx_memviewslice src_slice */ static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src) { __Pyx_memviewslice __pyx_v_dst_slice; __Pyx_memviewslice __pyx_v_src_slice; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("setitem_slice_assignment", 0); /* "View.MemoryView":401 * cdef __Pyx_memviewslice src_slice * * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], # <<<<<<<<<<<<<< * get_slice_from_memview(dst, &dst_slice)[0], * src.ndim, dst.ndim, self.dtype_is_object) */ if (!(likely(((__pyx_v_src) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_src, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 401; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":402 * * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], * get_slice_from_memview(dst, &dst_slice)[0], # <<<<<<<<<<<<<< * src.ndim, dst.ndim, self.dtype_is_object) * */ if (!(likely(((__pyx_v_dst) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_dst, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 402; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":403 * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], * get_slice_from_memview(dst, &dst_slice)[0], * src.ndim, dst.ndim, self.dtype_is_object) # <<<<<<<<<<<<<< * * cdef setitem_slice_assign_scalar(self, memoryview dst, value): */ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_src, __pyx_n_s__ndim); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 403; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyInt_AsInt(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 403; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dst, __pyx_n_s__ndim); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 403; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = __Pyx_PyInt_AsInt(__pyx_t_1); if (unlikely((__pyx_t_3 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 403; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_4 = __pyx_memoryview_copy_contents((__pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_src), (&__pyx_v_src_slice))[0]), (__pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_dst), (&__pyx_v_dst_slice))[0]), __pyx_t_2, __pyx_t_3, __pyx_v_self->dtype_is_object); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 401; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_slice_assignment", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":405 * src.ndim, dst.ndim, self.dtype_is_object) * * cdef setitem_slice_assign_scalar(self, memoryview dst, value): # <<<<<<<<<<<<<< * cdef int array[128] * cdef void *tmp = NULL */ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value) { int __pyx_v_array[128]; void *__pyx_v_tmp; void *__pyx_v_item; __Pyx_memviewslice __pyx_v_tmp_slice; __Pyx_memviewslice *__pyx_v_dst_slice; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; PyObject *__pyx_t_7 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("setitem_slice_assign_scalar", 0); /* "View.MemoryView":407 * cdef setitem_slice_assign_scalar(self, memoryview dst, value): * cdef int array[128] * cdef void *tmp = NULL # <<<<<<<<<<<<<< * cdef void *item * */ __pyx_v_tmp = NULL; /* "View.MemoryView":411 * * cdef __Pyx_memviewslice tmp_slice, *dst_slice * dst_slice = get_slice_from_memview(dst, &tmp_slice) # <<<<<<<<<<<<<< * * if self.view.itemsize > sizeof(array): */ __pyx_v_dst_slice = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_dst, (&__pyx_v_tmp_slice)); /* "View.MemoryView":413 * dst_slice = get_slice_from_memview(dst, &tmp_slice) * * if self.view.itemsize > sizeof(array): # <<<<<<<<<<<<<< * tmp = malloc(self.view.itemsize) * if tmp == NULL: */ __pyx_t_1 = ((((size_t)__pyx_v_self->view.itemsize) > (sizeof(__pyx_v_array))) != 0); if (__pyx_t_1) { /* "View.MemoryView":414 * * if self.view.itemsize > sizeof(array): * tmp = malloc(self.view.itemsize) # <<<<<<<<<<<<<< * if tmp == NULL: * raise MemoryError */ __pyx_v_tmp = malloc(__pyx_v_self->view.itemsize); /* "View.MemoryView":415 * if self.view.itemsize > sizeof(array): * tmp = malloc(self.view.itemsize) * if tmp == NULL: # <<<<<<<<<<<<<< * raise MemoryError * item = tmp */ __pyx_t_1 = ((__pyx_v_tmp == NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":416 * tmp = malloc(self.view.itemsize) * if tmp == NULL: * raise MemoryError # <<<<<<<<<<<<<< * item = tmp * else: */ PyErr_NoMemory(); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 416; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":417 * if tmp == NULL: * raise MemoryError * item = tmp # <<<<<<<<<<<<<< * else: * item = array */ __pyx_v_item = __pyx_v_tmp; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":419 * item = tmp * else: * item = array # <<<<<<<<<<<<<< * * if self.dtype_is_object: */ __pyx_v_item = ((void *)__pyx_v_array); } __pyx_L3:; /* "View.MemoryView":421 * item = array * * if self.dtype_is_object: # <<<<<<<<<<<<<< * ( item)[0] = value * else: */ __pyx_t_1 = (__pyx_v_self->dtype_is_object != 0); if (__pyx_t_1) { /* "View.MemoryView":422 * * if self.dtype_is_object: * ( item)[0] = value # <<<<<<<<<<<<<< * else: * try: */ (((PyObject **)__pyx_v_item)[0]) = ((PyObject *)__pyx_v_value); goto __pyx_L5; } /*else*/ { /* "View.MemoryView":424 * ( item)[0] = value * else: * try: # <<<<<<<<<<<<<< * self.assign_item_from_object( item, value) * except: */ { __Pyx_ExceptionSave(&__pyx_t_2, &__pyx_t_3, &__pyx_t_4); __Pyx_XGOTREF(__pyx_t_2); __Pyx_XGOTREF(__pyx_t_3); __Pyx_XGOTREF(__pyx_t_4); /*try:*/ { /* "View.MemoryView":425 * else: * try: * self.assign_item_from_object( item, value) # <<<<<<<<<<<<<< * except: * free(tmp) */ __pyx_t_5 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->assign_item_from_object(__pyx_v_self, ((char *)__pyx_v_item), __pyx_v_value); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 425; __pyx_clineno = __LINE__; goto __pyx_L6_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; } __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L13_try_end; __pyx_L6_error:; __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; /* "View.MemoryView":426 * try: * self.assign_item_from_object( item, value) * except: # <<<<<<<<<<<<<< * free(tmp) * raise */ /*except:*/ { __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_slice_assign_scalar", __pyx_clineno, __pyx_lineno, __pyx_filename); if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 426; __pyx_clineno = __LINE__; goto __pyx_L8_except_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); /* "View.MemoryView":427 * self.assign_item_from_object( item, value) * except: * free(tmp) # <<<<<<<<<<<<<< * raise * */ free(__pyx_v_tmp); /* "View.MemoryView":428 * except: * free(tmp) * raise # <<<<<<<<<<<<<< * * */ __Pyx_GIVEREF(__pyx_t_5); __Pyx_GIVEREF(__pyx_t_6); __Pyx_GIVEREF(__pyx_t_7); __Pyx_ErrRestore(__pyx_t_5, __pyx_t_6, __pyx_t_7); __pyx_t_5 = 0; __pyx_t_6 = 0; __pyx_t_7 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 428; __pyx_clineno = __LINE__; goto __pyx_L8_except_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; goto __pyx_L7_exception_handled; } __pyx_L8_except_error:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); goto __pyx_L1_error; __pyx_L7_exception_handled:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); __pyx_L13_try_end:; } } __pyx_L5:; /* "View.MemoryView":432 * * * if self.view.suboffsets != NULL: # <<<<<<<<<<<<<< * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, */ __pyx_t_1 = ((__pyx_v_self->view.suboffsets != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":433 * * if self.view.suboffsets != NULL: * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) # <<<<<<<<<<<<<< * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, * item, self.dtype_is_object) */ __pyx_t_7 = assert_direct_dimensions(__pyx_v_self->view.suboffsets, __pyx_v_self->view.ndim); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 433; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_7); __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; goto __pyx_L16; } __pyx_L16:; /* "View.MemoryView":435 * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, * item, self.dtype_is_object) # <<<<<<<<<<<<<< * free(tmp) * */ __pyx_memoryview_slice_assign_scalar(__pyx_v_dst_slice, __pyx_v_dst->view.ndim, __pyx_v_self->view.itemsize, __pyx_v_item, __pyx_v_self->dtype_is_object); /* "View.MemoryView":436 * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, * item, self.dtype_is_object) * free(tmp) # <<<<<<<<<<<<<< * * cdef setitem_indexed(self, index, value): */ free(__pyx_v_tmp); __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_7); __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_slice_assign_scalar", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":438 * free(tmp) * * cdef setitem_indexed(self, index, value): # <<<<<<<<<<<<<< * cdef char *itemp = self.get_item_pointer(index) * self.assign_item_from_object(itemp, value) */ static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value) { char *__pyx_v_itemp; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations char *__pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("setitem_indexed", 0); /* "View.MemoryView":439 * * cdef setitem_indexed(self, index, value): * cdef char *itemp = self.get_item_pointer(index) # <<<<<<<<<<<<<< * self.assign_item_from_object(itemp, value) * */ __pyx_t_1 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->get_item_pointer(__pyx_v_self, __pyx_v_index); if (unlikely(__pyx_t_1 == NULL)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 439; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_itemp = __pyx_t_1; /* "View.MemoryView":440 * cdef setitem_indexed(self, index, value): * cdef char *itemp = self.get_item_pointer(index) * self.assign_item_from_object(itemp, value) # <<<<<<<<<<<<<< * * cdef convert_item_to_object(self, char *itemp): */ __pyx_t_2 = ((struct __pyx_vtabstruct_memoryview *)__pyx_v_self->__pyx_vtab)->assign_item_from_object(__pyx_v_self, __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 440; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.memoryview.setitem_indexed", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":442 * self.assign_item_from_object(itemp, value) * * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" */ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp) { PyObject *__pyx_v_struct = NULL; PyObject *__pyx_v_bytesitem = 0; PyObject *__pyx_v_result = NULL; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; size_t __pyx_t_7; int __pyx_t_8; int __pyx_t_9; PyObject *__pyx_t_10 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("convert_item_to_object", 0); /* "View.MemoryView":445 * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" * import struct # <<<<<<<<<<<<<< * cdef bytes bytesitem * */ __pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__struct), 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 445; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_v_struct = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":448 * cdef bytes bytesitem * * bytesitem = itemp[:self.view.itemsize] # <<<<<<<<<<<<<< * try: * result = struct.unpack(self.view.format, bytesitem) */ __pyx_t_1 = __Pyx_PyBytes_FromStringAndSize(__pyx_v_itemp + 0, __pyx_v_self->view.itemsize - 0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 448; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __pyx_v_bytesitem = ((PyObject*)__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":449 * * bytesitem = itemp[:self.view.itemsize] * try: # <<<<<<<<<<<<<< * result = struct.unpack(self.view.format, bytesitem) * except struct.error: */ { __Pyx_ExceptionSave(&__pyx_t_2, &__pyx_t_3, &__pyx_t_4); __Pyx_XGOTREF(__pyx_t_2); __Pyx_XGOTREF(__pyx_t_3); __Pyx_XGOTREF(__pyx_t_4); /*try:*/ { /* "View.MemoryView":450 * bytesitem = itemp[:self.view.itemsize] * try: * result = struct.unpack(self.view.format, bytesitem) # <<<<<<<<<<<<<< * except struct.error: * raise ValueError("Unable to convert item to object") */ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s__unpack); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 450; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_5 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 450; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __pyx_t_6 = PyTuple_New(2); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 450; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __Pyx_GOTREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_6, 0, ((PyObject *)__pyx_t_5)); __Pyx_GIVEREF(((PyObject *)__pyx_t_5)); __Pyx_INCREF(((PyObject *)__pyx_v_bytesitem)); PyTuple_SET_ITEM(__pyx_t_6, 1, ((PyObject *)__pyx_v_bytesitem)); __Pyx_GIVEREF(((PyObject *)__pyx_v_bytesitem)); __pyx_t_5 = 0; __pyx_t_5 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_6), NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 450; __pyx_clineno = __LINE__; goto __pyx_L3_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0; __pyx_v_result = __pyx_t_5; __pyx_t_5 = 0; } /*else:*/ { /* "View.MemoryView":454 * raise ValueError("Unable to convert item to object") * else: * if len(self.view.format) == 1: # <<<<<<<<<<<<<< * return result[0] * return result */ __pyx_t_7 = strlen(__pyx_v_self->view.format); __pyx_t_8 = ((__pyx_t_7 == 1) != 0); if (__pyx_t_8) { /* "View.MemoryView":455 * else: * if len(self.view.format) == 1: * return result[0] # <<<<<<<<<<<<<< * return result * */ __Pyx_XDECREF(__pyx_r); __pyx_t_5 = __Pyx_GetItemInt(__pyx_v_result, 0, sizeof(long), PyInt_FromLong, 0, 0, 1); if (!__pyx_t_5) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 455; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; goto __pyx_L6_except_return; goto __pyx_L11; } __pyx_L11:; /* "View.MemoryView":456 * if len(self.view.format) == 1: * return result[0] * return result # <<<<<<<<<<<<<< * * cdef assign_item_from_object(self, char *itemp, object value): */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_result); __pyx_r = __pyx_v_result; goto __pyx_L6_except_return; } __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L10_try_end; __pyx_L3_error:; __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; /* "View.MemoryView":451 * try: * result = struct.unpack(self.view.format, bytesitem) * except struct.error: # <<<<<<<<<<<<<< * raise ValueError("Unable to convert item to object") * else: */ __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s__error); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 451; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_t_9 = PyErr_ExceptionMatches(__pyx_t_5); __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (__pyx_t_9) { __Pyx_AddTraceback("View.MemoryView.memoryview.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_1) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 451; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_GOTREF(__pyx_t_5); __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_1); /* "View.MemoryView":452 * result = struct.unpack(self.view.format, bytesitem) * except struct.error: * raise ValueError("Unable to convert item to object") # <<<<<<<<<<<<<< * else: * if len(self.view.format) == 1: */ __pyx_t_10 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_29), NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_Raise(__pyx_t_10, 0, 0, 0); __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L5_except_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; goto __pyx_L4_exception_handled; } __pyx_L5_except_error:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); goto __pyx_L1_error; __pyx_L6_except_return:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); goto __pyx_L0; __pyx_L4_exception_handled:; __Pyx_XGIVEREF(__pyx_t_2); __Pyx_XGIVEREF(__pyx_t_3); __Pyx_XGIVEREF(__pyx_t_4); __Pyx_ExceptionReset(__pyx_t_2, __pyx_t_3, __pyx_t_4); __pyx_L10_try_end:; } __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_10); __Pyx_AddTraceback("View.MemoryView.memoryview.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF(__pyx_v_struct); __Pyx_XDECREF(__pyx_v_bytesitem); __Pyx_XDECREF(__pyx_v_result); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":458 * return result * * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" */ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value) { PyObject *__pyx_v_struct = NULL; char __pyx_v_c; PyObject *__pyx_v_bytesvalue = 0; Py_ssize_t __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_t_2; int __pyx_t_3; PyObject *__pyx_t_4 = NULL; PyObject *__pyx_t_5 = NULL; PyObject *__pyx_t_6 = NULL; Py_ssize_t __pyx_t_7; PyObject *__pyx_t_8 = NULL; char *__pyx_t_9; char *__pyx_t_10; char *__pyx_t_11; char *__pyx_t_12; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("assign_item_from_object", 0); /* "View.MemoryView":461 * """Only used if instantiated manually by the user, or if Cython doesn't * know how to convert the type""" * import struct # <<<<<<<<<<<<<< * cdef char c * cdef bytes bytesvalue */ __pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__struct), 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 461; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_v_struct = __pyx_t_1; __pyx_t_1 = 0; /* "View.MemoryView":466 * cdef Py_ssize_t i * * if isinstance(value, tuple): # <<<<<<<<<<<<<< * bytesvalue = struct.pack(self.view.format, *value) * else: */ __pyx_t_2 = PyTuple_Check(__pyx_v_value); __pyx_t_3 = (__pyx_t_2 != 0); if (__pyx_t_3) { /* "View.MemoryView":467 * * if isinstance(value, tuple): * bytesvalue = struct.pack(self.view.format, *value) # <<<<<<<<<<<<<< * else: * bytesvalue = struct.pack(self.view.format, value) */ __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s__pack); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_4 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_5, 0, ((PyObject *)__pyx_t_4)); __Pyx_GIVEREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_t_4 = PySequence_Tuple(__pyx_v_value); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __pyx_t_6 = PyNumber_Add(((PyObject *)__pyx_t_5), ((PyObject *)__pyx_t_4)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_6)); __Pyx_DECREF(((PyObject *)__pyx_t_5)); __pyx_t_5 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_t_4 = PyObject_Call(__pyx_t_1, ((PyObject *)__pyx_t_6), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_6)); __pyx_t_6 = 0; if (!(likely(PyBytes_CheckExact(__pyx_t_4))||((__pyx_t_4) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected bytes, got %.200s", Py_TYPE(__pyx_t_4)->tp_name), 0))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 467; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_bytesvalue = ((PyObject*)__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":469 * bytesvalue = struct.pack(self.view.format, *value) * else: * bytesvalue = struct.pack(self.view.format, value) # <<<<<<<<<<<<<< * * for i, c in enumerate(bytesvalue): */ __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_struct, __pyx_n_s__pack); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_6 = __Pyx_PyBytes_FromString(__pyx_v_self->view.format); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_6)); __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_t_6)); __Pyx_GIVEREF(((PyObject *)__pyx_t_6)); __Pyx_INCREF(__pyx_v_value); PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_value); __Pyx_GIVEREF(__pyx_v_value); __pyx_t_6 = 0; __pyx_t_6 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_t_1), NULL); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; if (!(likely(PyBytes_CheckExact(__pyx_t_6))||((__pyx_t_6) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected bytes, got %.200s", Py_TYPE(__pyx_t_6)->tp_name), 0))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 469; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_bytesvalue = ((PyObject*)__pyx_t_6); __pyx_t_6 = 0; } __pyx_L3:; /* "View.MemoryView":471 * bytesvalue = struct.pack(self.view.format, value) * * for i, c in enumerate(bytesvalue): # <<<<<<<<<<<<<< * itemp[i] = c * */ __pyx_t_7 = 0; if (unlikely(((PyObject *)__pyx_v_bytesvalue) == Py_None)) { PyErr_SetString(PyExc_TypeError, "'NoneType' is not iterable"); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 471; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __Pyx_INCREF(((PyObject *)__pyx_v_bytesvalue)); __pyx_t_8 = __pyx_v_bytesvalue; __pyx_t_10 = PyBytes_AS_STRING(__pyx_t_8); __pyx_t_11 = (__pyx_t_10 + PyBytes_GET_SIZE(__pyx_t_8)); for (__pyx_t_12 = __pyx_t_10; __pyx_t_12 < __pyx_t_11; __pyx_t_12++) { __pyx_t_9 = __pyx_t_12; __pyx_v_c = (__pyx_t_9[0]); /* "View.MemoryView":472 * * for i, c in enumerate(bytesvalue): * itemp[i] = c # <<<<<<<<<<<<<< * * @cname('getbuffer') */ __pyx_v_i = __pyx_t_7; /* "View.MemoryView":471 * bytesvalue = struct.pack(self.view.format, value) * * for i, c in enumerate(bytesvalue): # <<<<<<<<<<<<<< * itemp[i] = c * */ __pyx_t_7 = (__pyx_t_7 + 1); /* "View.MemoryView":472 * * for i, c in enumerate(bytesvalue): * itemp[i] = c # <<<<<<<<<<<<<< * * @cname('getbuffer') */ (__pyx_v_itemp[__pyx_v_i]) = __pyx_v_c; } __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_5); __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(((PyObject *)__pyx_t_8)); __Pyx_AddTraceback("View.MemoryView.memoryview.assign_item_from_object", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF(__pyx_v_struct); __Pyx_XDECREF(__pyx_v_bytesvalue); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/ static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0); __pyx_r = __pyx_memoryview_getbuffer_MemoryView_10memoryview_8__getbuffer__(((struct __pyx_memoryview_obj *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":475 * * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< * if flags & PyBUF_STRIDES: * info.shape = self.view.shape */ static int __pyx_memoryview_getbuffer_MemoryView_10memoryview_8__getbuffer__(struct __pyx_memoryview_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) { int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; Py_ssize_t *__pyx_t_2; char *__pyx_t_3; void *__pyx_t_4; int __pyx_t_5; Py_ssize_t __pyx_t_6; __Pyx_RefNannySetupContext("__getbuffer__", 0); if (__pyx_v_info != NULL) { __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); } /* "View.MemoryView":476 * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< * info.shape = self.view.shape * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_STRIDES) != 0); if (__pyx_t_1) { /* "View.MemoryView":477 * def __getbuffer__(self, Py_buffer *info, int flags): * if flags & PyBUF_STRIDES: * info.shape = self.view.shape # <<<<<<<<<<<<<< * else: * info.shape = NULL */ __pyx_t_2 = __pyx_v_self->view.shape; __pyx_v_info->shape = __pyx_t_2; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":479 * info.shape = self.view.shape * else: * info.shape = NULL # <<<<<<<<<<<<<< * * if flags & PyBUF_STRIDES: */ __pyx_v_info->shape = NULL; } __pyx_L3:; /* "View.MemoryView":481 * info.shape = NULL * * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< * info.strides = self.view.strides * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_STRIDES) != 0); if (__pyx_t_1) { /* "View.MemoryView":482 * * if flags & PyBUF_STRIDES: * info.strides = self.view.strides # <<<<<<<<<<<<<< * else: * info.strides = NULL */ __pyx_t_2 = __pyx_v_self->view.strides; __pyx_v_info->strides = __pyx_t_2; goto __pyx_L4; } /*else*/ { /* "View.MemoryView":484 * info.strides = self.view.strides * else: * info.strides = NULL # <<<<<<<<<<<<<< * * if flags & PyBUF_INDIRECT: */ __pyx_v_info->strides = NULL; } __pyx_L4:; /* "View.MemoryView":486 * info.strides = NULL * * if flags & PyBUF_INDIRECT: # <<<<<<<<<<<<<< * info.suboffsets = self.view.suboffsets * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_INDIRECT) != 0); if (__pyx_t_1) { /* "View.MemoryView":487 * * if flags & PyBUF_INDIRECT: * info.suboffsets = self.view.suboffsets # <<<<<<<<<<<<<< * else: * info.suboffsets = NULL */ __pyx_t_2 = __pyx_v_self->view.suboffsets; __pyx_v_info->suboffsets = __pyx_t_2; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":489 * info.suboffsets = self.view.suboffsets * else: * info.suboffsets = NULL # <<<<<<<<<<<<<< * * if flags & PyBUF_FORMAT: */ __pyx_v_info->suboffsets = NULL; } __pyx_L5:; /* "View.MemoryView":491 * info.suboffsets = NULL * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< * info.format = self.view.format * else: */ __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); if (__pyx_t_1) { /* "View.MemoryView":492 * * if flags & PyBUF_FORMAT: * info.format = self.view.format # <<<<<<<<<<<<<< * else: * info.format = NULL */ __pyx_t_3 = __pyx_v_self->view.format; __pyx_v_info->format = __pyx_t_3; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":494 * info.format = self.view.format * else: * info.format = NULL # <<<<<<<<<<<<<< * * info.buf = self.view.buf */ __pyx_v_info->format = NULL; } __pyx_L6:; /* "View.MemoryView":496 * info.format = NULL * * info.buf = self.view.buf # <<<<<<<<<<<<<< * info.ndim = self.view.ndim * info.itemsize = self.view.itemsize */ __pyx_t_4 = __pyx_v_self->view.buf; __pyx_v_info->buf = __pyx_t_4; /* "View.MemoryView":497 * * info.buf = self.view.buf * info.ndim = self.view.ndim # <<<<<<<<<<<<<< * info.itemsize = self.view.itemsize * info.len = self.view.len */ __pyx_t_5 = __pyx_v_self->view.ndim; __pyx_v_info->ndim = __pyx_t_5; /* "View.MemoryView":498 * info.buf = self.view.buf * info.ndim = self.view.ndim * info.itemsize = self.view.itemsize # <<<<<<<<<<<<<< * info.len = self.view.len * info.readonly = 0 */ __pyx_t_6 = __pyx_v_self->view.itemsize; __pyx_v_info->itemsize = __pyx_t_6; /* "View.MemoryView":499 * info.ndim = self.view.ndim * info.itemsize = self.view.itemsize * info.len = self.view.len # <<<<<<<<<<<<<< * info.readonly = 0 * info.obj = self */ __pyx_t_6 = __pyx_v_self->view.len; __pyx_v_info->len = __pyx_t_6; /* "View.MemoryView":500 * info.itemsize = self.view.itemsize * info.len = self.view.len * info.readonly = 0 # <<<<<<<<<<<<<< * info.obj = self * */ __pyx_v_info->readonly = 0; /* "View.MemoryView":501 * info.len = self.view.len * info.readonly = 0 * info.obj = self # <<<<<<<<<<<<<< * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") */ __Pyx_INCREF(((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); __Pyx_GOTREF(__pyx_v_info->obj); __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); __pyx_r = 0; if (__pyx_v_info != NULL && __pyx_v_info->obj == Py_None) { __Pyx_GOTREF(Py_None); __Pyx_DECREF(Py_None); __pyx_v_info->obj = NULL; } __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_transpose(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_transpose(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_transpose_MemoryView_10memoryview_1T___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":508 * property T: * @cname('__pyx_memoryview_transpose') * def __get__(self): # <<<<<<<<<<<<<< * cdef _memoryviewslice result = memoryview_copy(self) * transpose_memslice(&result.from_slice) */ static PyObject *__pyx_memoryview_transpose_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self) { struct __pyx_memoryviewslice_obj *__pyx_v_result = 0; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_t_2; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":509 * @cname('__pyx_memoryview_transpose') * def __get__(self): * cdef _memoryviewslice result = memoryview_copy(self) # <<<<<<<<<<<<<< * transpose_memslice(&result.from_slice) * return result */ __pyx_t_1 = __pyx_memoryview_copy_object(__pyx_v_self); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 509; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_memoryviewslice_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 509; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_result = ((struct __pyx_memoryviewslice_obj *)__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":510 * def __get__(self): * cdef _memoryviewslice result = memoryview_copy(self) * transpose_memslice(&result.from_slice) # <<<<<<<<<<<<<< * return result * */ __pyx_t_2 = __pyx_memslice_transpose((&__pyx_v_result->from_slice)); if (unlikely(__pyx_t_2 == 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 510; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":511 * cdef _memoryviewslice result = memoryview_copy(self) * transpose_memslice(&result.from_slice) * return result # <<<<<<<<<<<<<< * * property base: */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_result)); __pyx_r = ((PyObject *)__pyx_v_result); goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.T.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_result); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview__get__base(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview__get__base(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview__get__base_MemoryView_10memoryview_4base___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":515 * property base: * @cname('__pyx_memoryview__get__base') * def __get__(self): # <<<<<<<<<<<<<< * return self.obj * */ static PyObject *__pyx_memoryview__get__base_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":516 * @cname('__pyx_memoryview__get__base') * def __get__(self): * return self.obj # <<<<<<<<<<<<<< * * property shape: */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_self->obj); __pyx_r = __pyx_v_self->obj; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_shape(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_shape(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_shape_MemoryView_10memoryview_5shape___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":520 * property shape: * @cname('__pyx_memoryview_get_shape') * def __get__(self): # <<<<<<<<<<<<<< * return tuple([self.view.shape[i] for i in xrange(self.view.ndim)]) * */ static PyObject *__pyx_memoryview_get_shape_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self) { int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_t_2; int __pyx_t_3; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":521 * @cname('__pyx_memoryview_get_shape') * def __get__(self): * return tuple([self.view.shape[i] for i in xrange(self.view.ndim)]) # <<<<<<<<<<<<<< * * property strides: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __pyx_v_self->view.ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; __pyx_t_4 = PyInt_FromSsize_t((__pyx_v_self->view.shape[__pyx_v_i])); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_4))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; } __pyx_t_4 = ((PyObject *)PyList_AsTuple(((PyObject*)__pyx_t_1))); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_r = ((PyObject *)__pyx_t_4); __pyx_t_4 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.memoryview.shape.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_strides(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_strides(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_strides_MemoryView_10memoryview_7strides___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":525 * property strides: * @cname('__pyx_memoryview_get_strides') * def __get__(self): # <<<<<<<<<<<<<< * if self.view.strides == NULL: * */ static PyObject *__pyx_memoryview_get_strides_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self) { int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_t_3; int __pyx_t_4; PyObject *__pyx_t_5 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":526 * @cname('__pyx_memoryview_get_strides') * def __get__(self): * if self.view.strides == NULL: # <<<<<<<<<<<<<< * * raise ValueError("Buffer view does not expose strides") */ __pyx_t_1 = ((__pyx_v_self->view.strides == NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":528 * if self.view.strides == NULL: * * raise ValueError("Buffer view does not expose strides") # <<<<<<<<<<<<<< * * return tuple([self.view.strides[i] for i in xrange(self.view.ndim)]) */ __pyx_t_2 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_31), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 528; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_Raise(__pyx_t_2, 0, 0, 0); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 528; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":530 * raise ValueError("Buffer view does not expose strides") * * return tuple([self.view.strides[i] for i in xrange(self.view.ndim)]) # <<<<<<<<<<<<<< * * property suboffsets: */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 530; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __pyx_v_self->view.ndim; for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_i = __pyx_t_4; __pyx_t_5 = PyInt_FromSsize_t((__pyx_v_self->view.strides[__pyx_v_i])); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 530; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); if (unlikely(__Pyx_ListComp_Append(__pyx_t_2, (PyObject*)__pyx_t_5))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 530; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; } __pyx_t_5 = ((PyObject *)PyList_AsTuple(((PyObject*)__pyx_t_2))); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 530; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_r = ((PyObject *)__pyx_t_5); __pyx_t_5 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.memoryview.strides.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_suboffsets(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_suboffsets(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_suboffsets_MemoryView_10memoryview_10suboffsets___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":534 * property suboffsets: * @cname('__pyx_memoryview_get_suboffsets') * def __get__(self): # <<<<<<<<<<<<<< * if self.view.suboffsets == NULL: * return [-1] * self.view.ndim */ static PyObject *__pyx_memoryview_get_suboffsets_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self) { int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_t_3; int __pyx_t_4; PyObject *__pyx_t_5 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":535 * @cname('__pyx_memoryview_get_suboffsets') * def __get__(self): * if self.view.suboffsets == NULL: # <<<<<<<<<<<<<< * return [-1] * self.view.ndim * */ __pyx_t_1 = ((__pyx_v_self->view.suboffsets == NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":536 * def __get__(self): * if self.view.suboffsets == NULL: * return [-1] * self.view.ndim # <<<<<<<<<<<<<< * * return tuple([self.view.suboffsets[i] for i in xrange(self.view.ndim)]) */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = PyList_New(1 * ((__pyx_v_self->view.ndim<0) ? 0:__pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 536; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); { Py_ssize_t __pyx_temp; for (__pyx_temp=0; __pyx_temp < __pyx_v_self->view.ndim; __pyx_temp++) { __Pyx_INCREF(__pyx_int_neg_1); PyList_SET_ITEM(__pyx_t_2, __pyx_temp, __pyx_int_neg_1); __Pyx_GIVEREF(__pyx_int_neg_1); } } __pyx_r = ((PyObject *)__pyx_t_2); __pyx_t_2 = 0; goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":538 * return [-1] * self.view.ndim * * return tuple([self.view.suboffsets[i] for i in xrange(self.view.ndim)]) # <<<<<<<<<<<<<< * * property ndim: */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 538; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __pyx_v_self->view.ndim; for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_i = __pyx_t_4; __pyx_t_5 = PyInt_FromSsize_t((__pyx_v_self->view.suboffsets[__pyx_v_i])); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 538; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); if (unlikely(__Pyx_ListComp_Append(__pyx_t_2, (PyObject*)__pyx_t_5))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 538; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; } __pyx_t_5 = ((PyObject *)PyList_AsTuple(((PyObject*)__pyx_t_2))); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 538; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_5)); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_r = ((PyObject *)__pyx_t_5); __pyx_t_5 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.memoryview.suboffsets.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_ndim(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_ndim(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_ndim_MemoryView_10memoryview_4ndim___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":542 * property ndim: * @cname('__pyx_memoryview_get_ndim') * def __get__(self): # <<<<<<<<<<<<<< * return self.view.ndim * */ static PyObject *__pyx_memoryview_get_ndim_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":543 * @cname('__pyx_memoryview_get_ndim') * def __get__(self): * return self.view.ndim # <<<<<<<<<<<<<< * * property itemsize: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyInt_FromLong(__pyx_v_self->view.ndim); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 543; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.ndim.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_itemsize(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_itemsize(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_itemsize_MemoryView_10memoryview_8itemsize___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":547 * property itemsize: * @cname('__pyx_memoryview_get_itemsize') * def __get__(self): # <<<<<<<<<<<<<< * return self.view.itemsize * */ static PyObject *__pyx_memoryview_get_itemsize_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":548 * @cname('__pyx_memoryview_get_itemsize') * def __get__(self): * return self.view.itemsize # <<<<<<<<<<<<<< * * property nbytes: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = PyInt_FromSsize_t(__pyx_v_self->view.itemsize); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 548; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.itemsize.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_nbytes(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_nbytes(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_nbytes_MemoryView_10memoryview_6nbytes___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":552 * property nbytes: * @cname('__pyx_memoryview_get_nbytes') * def __get__(self): # <<<<<<<<<<<<<< * return self.size * self.view.itemsize * */ static PyObject *__pyx_memoryview_get_nbytes_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":553 * @cname('__pyx_memoryview_get_nbytes') * def __get__(self): * return self.size * self.view.itemsize # <<<<<<<<<<<<<< * * property size: */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__size); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 553; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_self->view.itemsize); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 553; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyNumber_Multiply(__pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 553; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_r = __pyx_t_3; __pyx_t_3 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.memoryview.nbytes.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_get_size(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview_get_size(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryview_get_size_MemoryView_10memoryview_4size___get__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":557 * property size: * @cname('__pyx_memoryview_get_size') * def __get__(self): # <<<<<<<<<<<<<< * if self._size is None: * result = 1 */ static PyObject *__pyx_memoryview_get_size_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_v_result = NULL; PyObject *__pyx_v_length = NULL; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; Py_ssize_t __pyx_t_5; PyObject *(*__pyx_t_6)(PyObject *); int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":558 * @cname('__pyx_memoryview_get_size') * def __get__(self): * if self._size is None: # <<<<<<<<<<<<<< * result = 1 * */ __pyx_t_1 = (__pyx_v_self->_size == Py_None); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":559 * def __get__(self): * if self._size is None: * result = 1 # <<<<<<<<<<<<<< * * for length in self.shape: */ __Pyx_INCREF(__pyx_int_1); __pyx_v_result = __pyx_int_1; /* "View.MemoryView":561 * result = 1 * * for length in self.shape: # <<<<<<<<<<<<<< * result *= length * */ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__shape); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (PyList_CheckExact(__pyx_t_3) || PyTuple_CheckExact(__pyx_t_3)) { __pyx_t_4 = __pyx_t_3; __Pyx_INCREF(__pyx_t_4); __pyx_t_5 = 0; __pyx_t_6 = NULL; } else { __pyx_t_5 = -1; __pyx_t_4 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_6 = Py_TYPE(__pyx_t_4)->tp_iternext; } __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; for (;;) { if (!__pyx_t_6 && PyList_CheckExact(__pyx_t_4)) { if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_4)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_3 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else if (!__pyx_t_6 && PyTuple_CheckExact(__pyx_t_4)) { if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_4)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else { __pyx_t_3 = __pyx_t_6(__pyx_t_4); if (unlikely(!__pyx_t_3)) { if (PyErr_Occurred()) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear(); else {__pyx_filename = __pyx_f[2]; __pyx_lineno = 561; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } break; } __Pyx_GOTREF(__pyx_t_3); } __Pyx_XDECREF_SET(__pyx_v_length, __pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":562 * * for length in self.shape: * result *= length # <<<<<<<<<<<<<< * * self._size = result */ __pyx_t_3 = PyNumber_InPlaceMultiply(__pyx_v_result, __pyx_v_length); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 562; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF_SET(__pyx_v_result, __pyx_t_3); __pyx_t_3 = 0; } __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; /* "View.MemoryView":564 * result *= length * * self._size = result # <<<<<<<<<<<<<< * * return self._size */ __Pyx_INCREF(__pyx_v_result); __Pyx_GIVEREF(__pyx_v_result); __Pyx_GOTREF(__pyx_v_self->_size); __Pyx_DECREF(__pyx_v_self->_size); __pyx_v_self->_size = __pyx_v_result; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":566 * self._size = result * * return self._size # <<<<<<<<<<<<<< * * def __len__(self): */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_self->_size); __pyx_r = __pyx_v_self->_size; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.memoryview.size.__get__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF(__pyx_v_result); __Pyx_XDECREF(__pyx_v_length); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static Py_ssize_t __pyx_memoryview___len__(PyObject *__pyx_v_self); /*proto*/ static Py_ssize_t __pyx_memoryview___len__(PyObject *__pyx_v_self) { Py_ssize_t __pyx_r; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__len__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_10__len__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":568 * return self._size * * def __len__(self): # <<<<<<<<<<<<<< * if self.view.ndim >= 1: * return self.view.shape[0] */ static Py_ssize_t __pyx_memoryview_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self) { Py_ssize_t __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("__len__", 0); /* "View.MemoryView":569 * * def __len__(self): * if self.view.ndim >= 1: # <<<<<<<<<<<<<< * return self.view.shape[0] * */ __pyx_t_1 = ((__pyx_v_self->view.ndim >= 1) != 0); if (__pyx_t_1) { /* "View.MemoryView":570 * def __len__(self): * if self.view.ndim >= 1: * return self.view.shape[0] # <<<<<<<<<<<<<< * * return 0 */ __pyx_r = (__pyx_v_self->view.shape[0]); goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":572 * return self.view.shape[0] * * return 0 # <<<<<<<<<<<<<< * * def __repr__(self): */ __pyx_r = 0; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview___repr__(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview___repr__(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__repr__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_12__repr__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":574 * return 0 * * def __repr__(self): # <<<<<<<<<<<<<< * return "" % (self.base.__class__.__name__, * id(self)) */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__repr__", 0); /* "View.MemoryView":575 * * def __repr__(self): * return "" % (self.base.__class__.__name__, # <<<<<<<<<<<<<< * id(self)) * */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__base); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s____class__); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s____name__); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; /* "View.MemoryView":576 * def __repr__(self): * return "" % (self.base.__class__.__name__, * id(self)) # <<<<<<<<<<<<<< * * def __str__(self): */ __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 576; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_INCREF(((PyObject *)__pyx_v_self)); PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_self)); __Pyx_GIVEREF(((PyObject *)__pyx_v_self)); __pyx_t_3 = PyObject_Call(__pyx_builtin_id, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 576; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_1 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_32), ((PyObject *)__pyx_t_2)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 575; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_r = ((PyObject *)__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.memoryview.__repr__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview___str__(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryview___str__(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__str__ (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_14__str__(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":578 * id(self)) * * def __str__(self): # <<<<<<<<<<<<<< * return "" % (self.base.__class__.__name__,) * */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("__str__", 0); /* "View.MemoryView":579 * * def __str__(self): * return "" % (self.base.__class__.__name__,) # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self), __pyx_n_s__base); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s____class__); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s____name__); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_33), ((PyObject *)__pyx_t_2)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 579; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_r = ((PyObject *)__pyx_t_1); __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.memoryview.__str__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_is_c_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ static PyObject *__pyx_memoryview_is_c_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("is_c_contig (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_16is_c_contig(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":582 * * * def is_c_contig(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_memviewslice *__pyx_v_mslice; __Pyx_memviewslice __pyx_v_tmp; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("is_c_contig", 0); /* "View.MemoryView":584 * def is_c_contig(self): * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) # <<<<<<<<<<<<<< * return slice_is_contig(mslice, 'C', self.view.ndim) * */ __pyx_v_mslice = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_self, (&__pyx_v_tmp)); /* "View.MemoryView":585 * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) * return slice_is_contig(mslice, 'C', self.view.ndim) # <<<<<<<<<<<<<< * * def is_f_contig(self): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyBool_FromLong(__pyx_memviewslice_is_contig(__pyx_v_mslice, 'C', __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 585; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.is_c_contig", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_is_f_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ static PyObject *__pyx_memoryview_is_f_contig(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("is_f_contig (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_18is_f_contig(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":587 * return slice_is_contig(mslice, 'C', self.view.ndim) * * def is_f_contig(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_memviewslice *__pyx_v_mslice; __Pyx_memviewslice __pyx_v_tmp; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("is_f_contig", 0); /* "View.MemoryView":589 * def is_f_contig(self): * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) # <<<<<<<<<<<<<< * return slice_is_contig(mslice, 'F', self.view.ndim) * */ __pyx_v_mslice = __pyx_memoryview_get_slice_from_memoryview(__pyx_v_self, (&__pyx_v_tmp)); /* "View.MemoryView":590 * cdef __Pyx_memviewslice *mslice, tmp * mslice = get_slice_from_memview(self, &tmp) * return slice_is_contig(mslice, 'F', self.view.ndim) # <<<<<<<<<<<<<< * * def copy(self): */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __Pyx_PyBool_FromLong(__pyx_memviewslice_is_contig(__pyx_v_mslice, 'F', __pyx_v_self->view.ndim)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 590; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview.is_f_contig", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_copy(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ static PyObject *__pyx_memoryview_copy(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("copy (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_20copy(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":592 * return slice_is_contig(mslice, 'F', self.view.ndim) * * def copy(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice mslice * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_memviewslice __pyx_v_mslice; int __pyx_v_flags; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_memviewslice __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("copy", 0); /* "View.MemoryView":594 * def copy(self): * cdef __Pyx_memviewslice mslice * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS # <<<<<<<<<<<<<< * * slice_copy(self, &mslice) */ __pyx_v_flags = (__pyx_v_self->flags & (~PyBUF_F_CONTIGUOUS)); /* "View.MemoryView":596 * cdef int flags = self.flags & ~PyBUF_F_CONTIGUOUS * * slice_copy(self, &mslice) # <<<<<<<<<<<<<< * mslice = slice_copy_contig(&mslice, "c", self.view.ndim, * self.view.itemsize, */ __pyx_memoryview_slice_copy(__pyx_v_self, (&__pyx_v_mslice)); /* "View.MemoryView":600 * self.view.itemsize, * flags|PyBUF_C_CONTIGUOUS, * self.dtype_is_object) # <<<<<<<<<<<<<< * * return memoryview_copy_from_slice(self, &mslice) */ __pyx_t_1 = __pyx_memoryview_copy_new_contig((&__pyx_v_mslice), __pyx_k__c, __pyx_v_self->view.ndim, __pyx_v_self->view.itemsize, (__pyx_v_flags | PyBUF_C_CONTIGUOUS), __pyx_v_self->dtype_is_object); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 597; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_mslice = __pyx_t_1; /* "View.MemoryView":602 * self.dtype_is_object) * * return memoryview_copy_from_slice(self, &mslice) # <<<<<<<<<<<<<< * * def copy_fortran(self): */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = __pyx_memoryview_copy_object_from_slice(__pyx_v_self, (&__pyx_v_mslice)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 602; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.memoryview.copy", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryview_copy_fortran(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused); /*proto*/ static PyObject *__pyx_memoryview_copy_fortran(PyObject *__pyx_v_self, CYTHON_UNUSED PyObject *unused) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("copy_fortran (wrapper)", 0); __pyx_r = __pyx_memoryview_MemoryView_10memoryview_22copy_fortran(((struct __pyx_memoryview_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":604 * return memoryview_copy_from_slice(self, &mslice) * * def copy_fortran(self): # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice src, dst * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS */ static PyObject *__pyx_memoryview_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self) { __Pyx_memviewslice __pyx_v_src; __Pyx_memviewslice __pyx_v_dst; int __pyx_v_flags; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_memviewslice __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("copy_fortran", 0); /* "View.MemoryView":606 * def copy_fortran(self): * cdef __Pyx_memviewslice src, dst * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS # <<<<<<<<<<<<<< * * slice_copy(self, &src) */ __pyx_v_flags = (__pyx_v_self->flags & (~PyBUF_C_CONTIGUOUS)); /* "View.MemoryView":608 * cdef int flags = self.flags & ~PyBUF_C_CONTIGUOUS * * slice_copy(self, &src) # <<<<<<<<<<<<<< * dst = slice_copy_contig(&src, "fortran", self.view.ndim, * self.view.itemsize, */ __pyx_memoryview_slice_copy(__pyx_v_self, (&__pyx_v_src)); /* "View.MemoryView":612 * self.view.itemsize, * flags|PyBUF_F_CONTIGUOUS, * self.dtype_is_object) # <<<<<<<<<<<<<< * * return memoryview_copy_from_slice(self, &dst) */ __pyx_t_1 = __pyx_memoryview_copy_new_contig((&__pyx_v_src), __pyx_k__fortran, __pyx_v_self->view.ndim, __pyx_v_self->view.itemsize, (__pyx_v_flags | PyBUF_F_CONTIGUOUS), __pyx_v_self->dtype_is_object); if (unlikely(PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 609; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_dst = __pyx_t_1; /* "View.MemoryView":614 * self.dtype_is_object) * * return memoryview_copy_from_slice(self, &dst) # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = __pyx_memoryview_copy_object_from_slice(__pyx_v_self, (&__pyx_v_dst)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 614; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView.memoryview.copy_fortran", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":618 * * @cname('__pyx_memoryview_new') * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): # <<<<<<<<<<<<<< * cdef memoryview result = memoryview(o, flags, dtype_is_object) * result.typeinfo = typeinfo */ static PyObject *__pyx_memoryview_new(PyObject *__pyx_v_o, int __pyx_v_flags, int __pyx_v_dtype_is_object, __Pyx_TypeInfo *__pyx_v_typeinfo) { struct __pyx_memoryview_obj *__pyx_v_result = 0; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memoryview_cwrapper", 0); /* "View.MemoryView":619 * @cname('__pyx_memoryview_new') * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): * cdef memoryview result = memoryview(o, flags, dtype_is_object) # <<<<<<<<<<<<<< * result.typeinfo = typeinfo * return result */ __pyx_t_1 = PyInt_FromLong(__pyx_v_flags); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 619; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_dtype_is_object); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 619; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 619; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(__pyx_v_o); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_o); __Pyx_GIVEREF(__pyx_v_o); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_1 = 0; __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(((PyObject *)((PyObject *)__pyx_memoryview_type)), ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 619; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_v_result = ((struct __pyx_memoryview_obj *)__pyx_t_2); __pyx_t_2 = 0; /* "View.MemoryView":620 * cdef memoryview_cwrapper(object o, int flags, bint dtype_is_object, __Pyx_TypeInfo *typeinfo): * cdef memoryview result = memoryview(o, flags, dtype_is_object) * result.typeinfo = typeinfo # <<<<<<<<<<<<<< * return result * */ __pyx_v_result->typeinfo = __pyx_v_typeinfo; /* "View.MemoryView":621 * cdef memoryview result = memoryview(o, flags, dtype_is_object) * result.typeinfo = typeinfo * return result # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_check') */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_result)); __pyx_r = ((PyObject *)__pyx_v_result); goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.memoryview_cwrapper", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_result); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":624 * * @cname('__pyx_memoryview_check') * cdef inline bint memoryview_check(object o): # <<<<<<<<<<<<<< * return isinstance(o, memoryview) * */ static CYTHON_INLINE int __pyx_memoryview_check(PyObject *__pyx_v_o) { int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; __Pyx_RefNannySetupContext("memoryview_check", 0); /* "View.MemoryView":625 * @cname('__pyx_memoryview_check') * cdef inline bint memoryview_check(object o): * return isinstance(o, memoryview) # <<<<<<<<<<<<<< * * cdef tuple _unellipsify(object index, int ndim): */ __pyx_t_1 = __Pyx_TypeCheck(__pyx_v_o, ((PyObject *)__pyx_memoryview_type)); __pyx_r = __pyx_t_1; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":627 * return isinstance(o, memoryview) * * cdef tuple _unellipsify(object index, int ndim): # <<<<<<<<<<<<<< * """ * Replace all ellipses with full slices and fill incomplete indices with */ static PyObject *_unellipsify(PyObject *__pyx_v_index, int __pyx_v_ndim) { PyObject *__pyx_v_tup = NULL; PyObject *__pyx_v_result = NULL; PyObject *__pyx_v_have_slices = NULL; int __pyx_v_seen_ellipsis; CYTHON_UNUSED PyObject *__pyx_v_idx = NULL; PyObject *__pyx_v_item = NULL; PyObject *__pyx_v_nslices = NULL; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; Py_ssize_t __pyx_t_5; PyObject *(*__pyx_t_6)(PyObject *); PyObject *__pyx_t_7 = NULL; PyObject *__pyx_t_8 = NULL; Py_ssize_t __pyx_t_9; PyObject *__pyx_t_10 = NULL; int __pyx_t_11; int __pyx_t_12; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("_unellipsify", 0); /* "View.MemoryView":632 * full slices. * """ * if not isinstance(index, tuple): # <<<<<<<<<<<<<< * tup = (index,) * else: */ __pyx_t_1 = PyTuple_Check(__pyx_v_index); __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":633 * """ * if not isinstance(index, tuple): * tup = (index,) # <<<<<<<<<<<<<< * else: * tup = index */ __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 633; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(__pyx_v_index); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_index); __Pyx_GIVEREF(__pyx_v_index); __pyx_v_tup = ((PyObject *)__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":635 * tup = (index,) * else: * tup = index # <<<<<<<<<<<<<< * * result = [] */ __Pyx_INCREF(__pyx_v_index); __pyx_v_tup = __pyx_v_index; } __pyx_L3:; /* "View.MemoryView":637 * tup = index * * result = [] # <<<<<<<<<<<<<< * have_slices = False * seen_ellipsis = False */ __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 637; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_result = ((PyObject*)__pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":638 * * result = [] * have_slices = False # <<<<<<<<<<<<<< * seen_ellipsis = False * for idx, item in enumerate(tup): */ __pyx_t_3 = __Pyx_PyBool_FromLong(0); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 638; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_have_slices = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":639 * result = [] * have_slices = False * seen_ellipsis = False # <<<<<<<<<<<<<< * for idx, item in enumerate(tup): * if item is Ellipsis: */ __pyx_v_seen_ellipsis = 0; /* "View.MemoryView":640 * have_slices = False * seen_ellipsis = False * for idx, item in enumerate(tup): # <<<<<<<<<<<<<< * if item is Ellipsis: * if not seen_ellipsis: */ __Pyx_INCREF(__pyx_int_0); __pyx_t_3 = __pyx_int_0; if (PyList_CheckExact(__pyx_v_tup) || PyTuple_CheckExact(__pyx_v_tup)) { __pyx_t_4 = __pyx_v_tup; __Pyx_INCREF(__pyx_t_4); __pyx_t_5 = 0; __pyx_t_6 = NULL; } else { __pyx_t_5 = -1; __pyx_t_4 = PyObject_GetIter(__pyx_v_tup); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_6 = Py_TYPE(__pyx_t_4)->tp_iternext; } for (;;) { if (!__pyx_t_6 && PyList_CheckExact(__pyx_t_4)) { if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_4)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_7 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_7 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else if (!__pyx_t_6 && PyTuple_CheckExact(__pyx_t_4)) { if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_4)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_7 = PyTuple_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_7); __pyx_t_5++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_7 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else { __pyx_t_7 = __pyx_t_6(__pyx_t_4); if (unlikely(!__pyx_t_7)) { if (PyErr_Occurred()) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear(); else {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } break; } __Pyx_GOTREF(__pyx_t_7); } __Pyx_XDECREF_SET(__pyx_v_item, __pyx_t_7); __pyx_t_7 = 0; __Pyx_INCREF(__pyx_t_3); __Pyx_XDECREF_SET(__pyx_v_idx, __pyx_t_3); __pyx_t_7 = PyNumber_Add(__pyx_t_3, __pyx_int_1); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 640; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_7); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = __pyx_t_7; __pyx_t_7 = 0; /* "View.MemoryView":641 * seen_ellipsis = False * for idx, item in enumerate(tup): * if item is Ellipsis: # <<<<<<<<<<<<<< * if not seen_ellipsis: * result.extend([slice(None)] * (ndim - len(tup) + 1)) */ __pyx_t_2 = (__pyx_v_item == __pyx_builtin_Ellipsis); __pyx_t_1 = (__pyx_t_2 != 0); if (__pyx_t_1) { /* "View.MemoryView":642 * for idx, item in enumerate(tup): * if item is Ellipsis: * if not seen_ellipsis: # <<<<<<<<<<<<<< * result.extend([slice(None)] * (ndim - len(tup) + 1)) * seen_ellipsis = True */ __pyx_t_1 = ((!(__pyx_v_seen_ellipsis != 0)) != 0); if (__pyx_t_1) { /* "View.MemoryView":643 * if item is Ellipsis: * if not seen_ellipsis: * result.extend([slice(None)] * (ndim - len(tup) + 1)) # <<<<<<<<<<<<<< * seen_ellipsis = True * else: */ __pyx_t_7 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_result), __pyx_n_s__extend); if (unlikely(!__pyx_t_7)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_7); __pyx_t_8 = PyObject_Call(((PyObject *)((PyObject*)(&PySlice_Type))), ((PyObject *)__pyx_k_tuple_34), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __pyx_t_9 = PyObject_Length(__pyx_v_tup); if (unlikely(__pyx_t_9 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_10 = PyList_New(1 * ((((__pyx_v_ndim - __pyx_t_9) + 1)<0) ? 0:((__pyx_v_ndim - __pyx_t_9) + 1))); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); { Py_ssize_t __pyx_temp; for (__pyx_temp=0; __pyx_temp < ((__pyx_v_ndim - __pyx_t_9) + 1); __pyx_temp++) { __Pyx_INCREF(__pyx_t_8); PyList_SET_ITEM(__pyx_t_10, __pyx_temp, __pyx_t_8); __Pyx_GIVEREF(__pyx_t_8); } } __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; __pyx_t_8 = PyTuple_New(1); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_8, 0, ((PyObject *)__pyx_t_10)); __Pyx_GIVEREF(((PyObject *)__pyx_t_10)); __pyx_t_10 = 0; __pyx_t_10 = PyObject_Call(__pyx_t_7, ((PyObject *)__pyx_t_8), NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; /* "View.MemoryView":644 * if not seen_ellipsis: * result.extend([slice(None)] * (ndim - len(tup) + 1)) * seen_ellipsis = True # <<<<<<<<<<<<<< * else: * result.append(slice(None)) */ __pyx_v_seen_ellipsis = 1; goto __pyx_L7; } /*else*/ { /* "View.MemoryView":646 * seen_ellipsis = True * else: * result.append(slice(None)) # <<<<<<<<<<<<<< * have_slices = True * else: */ __pyx_t_10 = PyObject_Call(((PyObject *)((PyObject*)(&PySlice_Type))), ((PyObject *)__pyx_k_tuple_35), NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 646; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __pyx_t_11 = __Pyx_PyList_Append(__pyx_v_result, __pyx_t_10); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 646; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; } __pyx_L7:; /* "View.MemoryView":647 * else: * result.append(slice(None)) * have_slices = True # <<<<<<<<<<<<<< * else: * if not isinstance(item, slice) and not PyIndex_Check(item): */ __pyx_t_10 = __Pyx_PyBool_FromLong(1); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 647; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_DECREF_SET(__pyx_v_have_slices, __pyx_t_10); __pyx_t_10 = 0; goto __pyx_L6; } /*else*/ { /* "View.MemoryView":649 * have_slices = True * else: * if not isinstance(item, slice) and not PyIndex_Check(item): # <<<<<<<<<<<<<< * raise TypeError("Cannot index with type '%s'" % type(item)) * */ __pyx_t_1 = PySlice_Check(__pyx_v_item); __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { __pyx_t_1 = ((!(__Pyx_PyIndex_Check(__pyx_v_item) != 0)) != 0); __pyx_t_12 = __pyx_t_1; } else { __pyx_t_12 = __pyx_t_2; } if (__pyx_t_12) { /* "View.MemoryView":650 * else: * if not isinstance(item, slice) and not PyIndex_Check(item): * raise TypeError("Cannot index with type '%s'" % type(item)) # <<<<<<<<<<<<<< * * have_slices = have_slices or isinstance(item, slice) */ __pyx_t_10 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_36), ((PyObject *)Py_TYPE(__pyx_v_item))); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_10)); __pyx_t_8 = PyTuple_New(1); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_8, 0, ((PyObject *)__pyx_t_10)); __Pyx_GIVEREF(((PyObject *)__pyx_t_10)); __pyx_t_10 = 0; __pyx_t_10 = PyObject_Call(__pyx_builtin_TypeError, ((PyObject *)__pyx_t_8), NULL); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __Pyx_DECREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __Pyx_Raise(__pyx_t_10, 0, 0, 0); __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 650; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; /* "View.MemoryView":652 * raise TypeError("Cannot index with type '%s'" % type(item)) * * have_slices = have_slices or isinstance(item, slice) # <<<<<<<<<<<<<< * result.append(item) * */ __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_12 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 652; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_12) { __pyx_t_12 = PySlice_Check(__pyx_v_item); __pyx_t_10 = __Pyx_PyBool_FromLong(__pyx_t_12); if (unlikely(!__pyx_t_10)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 652; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_10); __pyx_t_8 = __pyx_t_10; __pyx_t_10 = 0; } else { __Pyx_INCREF(__pyx_v_have_slices); __pyx_t_8 = __pyx_v_have_slices; } __Pyx_DECREF_SET(__pyx_v_have_slices, __pyx_t_8); __pyx_t_8 = 0; /* "View.MemoryView":653 * * have_slices = have_slices or isinstance(item, slice) * result.append(item) # <<<<<<<<<<<<<< * * nslices = ndim - len(result) */ __pyx_t_11 = __Pyx_PyList_Append(__pyx_v_result, __pyx_v_item); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 653; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L6:; } __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; /* "View.MemoryView":655 * result.append(item) * * nslices = ndim - len(result) # <<<<<<<<<<<<<< * if nslices: * result.extend([slice(None)] * nslices) */ __pyx_t_5 = PyList_GET_SIZE(((PyObject *)__pyx_v_result)); if (unlikely(__pyx_t_5 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 655; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_t_3 = PyInt_FromSsize_t((__pyx_v_ndim - __pyx_t_5)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 655; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_v_nslices = __pyx_t_3; __pyx_t_3 = 0; /* "View.MemoryView":656 * * nslices = ndim - len(result) * if nslices: # <<<<<<<<<<<<<< * result.extend([slice(None)] * nslices) * */ __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_v_nslices); if (unlikely(__pyx_t_12 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 656; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__pyx_t_12) { /* "View.MemoryView":657 * nslices = ndim - len(result) * if nslices: * result.extend([slice(None)] * nslices) # <<<<<<<<<<<<<< * * return have_slices or nslices, tuple(result) */ __pyx_t_3 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_result), __pyx_n_s__extend); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyObject_Call(((PyObject *)((PyObject*)(&PySlice_Type))), ((PyObject *)__pyx_k_tuple_37), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_8 = PyList_New(1); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); PyList_SET_ITEM(__pyx_t_8, 0, __pyx_t_4); __Pyx_GIVEREF(__pyx_t_4); { PyObject* __pyx_temp = PyNumber_InPlaceMultiply(__pyx_t_8, __pyx_v_nslices); if (unlikely(!__pyx_temp)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_temp); __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = __pyx_temp; } __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_8)); __Pyx_GIVEREF(((PyObject *)__pyx_t_8)); __pyx_t_8 = 0; __pyx_t_8 = PyObject_Call(__pyx_t_3, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_8)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_8); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; goto __pyx_L9; } __pyx_L9:; /* "View.MemoryView":659 * result.extend([slice(None)] * nslices) * * return have_slices or nslices, tuple(result) # <<<<<<<<<<<<<< * * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): */ __Pyx_XDECREF(((PyObject *)__pyx_r)); __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_12 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 659; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_12) { __Pyx_INCREF(__pyx_v_nslices); __pyx_t_8 = __pyx_v_nslices; } else { __Pyx_INCREF(__pyx_v_have_slices); __pyx_t_8 = __pyx_v_have_slices; } __pyx_t_4 = ((PyObject *)PyList_AsTuple(__pyx_v_result)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 659; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 659; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_8); __Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_3, 1, ((PyObject *)__pyx_t_4)); __Pyx_GIVEREF(((PyObject *)__pyx_t_4)); __pyx_t_8 = 0; __pyx_t_4 = 0; __pyx_r = ((PyObject*)__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L0; __pyx_r = ((PyObject*)Py_None); __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_XDECREF(__pyx_t_7); __Pyx_XDECREF(__pyx_t_8); __Pyx_XDECREF(__pyx_t_10); __Pyx_AddTraceback("View.MemoryView._unellipsify", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF(__pyx_v_tup); __Pyx_XDECREF(__pyx_v_result); __Pyx_XDECREF(__pyx_v_have_slices); __Pyx_XDECREF(__pyx_v_idx); __Pyx_XDECREF(__pyx_v_item); __Pyx_XDECREF(__pyx_v_nslices); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":661 * return have_slices or nslices, tuple(result) * * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): # <<<<<<<<<<<<<< * cdef int i * for i in range(ndim): */ static PyObject *assert_direct_dimensions(Py_ssize_t *__pyx_v_suboffsets, int __pyx_v_ndim) { int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("assert_direct_dimensions", 0); /* "View.MemoryView":663 * cdef assert_direct_dimensions(Py_ssize_t *suboffsets, int ndim): * cdef int i * for i in range(ndim): # <<<<<<<<<<<<<< * if suboffsets[i] >= 0: * raise ValueError("Indirect dimensions not supported") */ __pyx_t_1 = __pyx_v_ndim; for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) { __pyx_v_i = __pyx_t_2; /* "View.MemoryView":664 * cdef int i * for i in range(ndim): * if suboffsets[i] >= 0: # <<<<<<<<<<<<<< * raise ValueError("Indirect dimensions not supported") * */ __pyx_t_3 = (((__pyx_v_suboffsets[__pyx_v_i]) >= 0) != 0); if (__pyx_t_3) { /* "View.MemoryView":665 * for i in range(ndim): * if suboffsets[i] >= 0: * raise ValueError("Indirect dimensions not supported") # <<<<<<<<<<<<<< * * */ __pyx_t_4 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_k_tuple_39), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 665; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 665; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; } __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.assert_direct_dimensions", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":672 * * @cname('__pyx_memview_slice') * cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<< * cdef int new_ndim = 0, suboffset_dim = -1, dim * cdef bint negative_step */ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *__pyx_v_memview, PyObject *__pyx_v_indices) { int __pyx_v_new_ndim; int __pyx_v_suboffset_dim; int __pyx_v_dim; __Pyx_memviewslice __pyx_v_src; __Pyx_memviewslice __pyx_v_dst; __Pyx_memviewslice *__pyx_v_p_src; struct __pyx_memoryviewslice_obj *__pyx_v_memviewsliceobj = 0; __Pyx_memviewslice *__pyx_v_p_dst; int *__pyx_v_p_suboffset_dim; Py_ssize_t __pyx_v_start; Py_ssize_t __pyx_v_stop; Py_ssize_t __pyx_v_step; int __pyx_v_have_start; int __pyx_v_have_stop; int __pyx_v_have_step; PyObject *__pyx_v_index = NULL; struct __pyx_memoryview_obj *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; struct __pyx_memoryview_obj *__pyx_t_3; char *__pyx_t_4; int __pyx_t_5; PyObject *__pyx_t_6 = NULL; Py_ssize_t __pyx_t_7; PyObject *(*__pyx_t_8)(PyObject *); PyObject *__pyx_t_9 = NULL; Py_ssize_t __pyx_t_10; int __pyx_t_11; PyObject *__pyx_t_12 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memview_slice", 0); /* "View.MemoryView":673 * @cname('__pyx_memview_slice') * cdef memoryview memview_slice(memoryview memview, object indices): * cdef int new_ndim = 0, suboffset_dim = -1, dim # <<<<<<<<<<<<<< * cdef bint negative_step * cdef __Pyx_memviewslice src, dst */ __pyx_v_new_ndim = 0; __pyx_v_suboffset_dim = -1; /* "View.MemoryView":680 * * * memset(&dst, 0, sizeof(dst)) # <<<<<<<<<<<<<< * * cdef _memoryviewslice memviewsliceobj */ memset((&__pyx_v_dst), 0, (sizeof(__pyx_v_dst))); /* "View.MemoryView":684 * cdef _memoryviewslice memviewsliceobj * * assert memview.view.ndim > 0 # <<<<<<<<<<<<<< * * if isinstance(memview, _memoryviewslice): */ #ifndef CYTHON_WITHOUT_ASSERTIONS if (unlikely(!((__pyx_v_memview->view.ndim > 0) != 0))) { PyErr_SetNone(PyExc_AssertionError); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 684; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } #endif /* "View.MemoryView":686 * assert memview.view.ndim > 0 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * memviewsliceobj = memview * p_src = &memviewsliceobj.from_slice */ __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), ((PyObject *)__pyx_memoryviewslice_type)); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":687 * * if isinstance(memview, _memoryviewslice): * memviewsliceobj = memview # <<<<<<<<<<<<<< * p_src = &memviewsliceobj.from_slice * else: */ if (!(likely(((((PyObject *)__pyx_v_memview)) == Py_None) || likely(__Pyx_TypeTest(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 687; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_INCREF(((PyObject *)__pyx_v_memview)); __pyx_v_memviewsliceobj = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview); /* "View.MemoryView":688 * if isinstance(memview, _memoryviewslice): * memviewsliceobj = memview * p_src = &memviewsliceobj.from_slice # <<<<<<<<<<<<<< * else: * slice_copy(memview, &src) */ __pyx_v_p_src = (&__pyx_v_memviewsliceobj->from_slice); goto __pyx_L3; } /*else*/ { /* "View.MemoryView":690 * p_src = &memviewsliceobj.from_slice * else: * slice_copy(memview, &src) # <<<<<<<<<<<<<< * p_src = &src * */ __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_src)); /* "View.MemoryView":691 * else: * slice_copy(memview, &src) * p_src = &src # <<<<<<<<<<<<<< * * */ __pyx_v_p_src = (&__pyx_v_src); } __pyx_L3:; /* "View.MemoryView":697 * * * dst.memview = p_src.memview # <<<<<<<<<<<<<< * dst.data = p_src.data * */ __pyx_t_3 = __pyx_v_p_src->memview; __pyx_v_dst.memview = __pyx_t_3; /* "View.MemoryView":698 * * dst.memview = p_src.memview * dst.data = p_src.data # <<<<<<<<<<<<<< * * */ __pyx_t_4 = __pyx_v_p_src->data; __pyx_v_dst.data = __pyx_t_4; /* "View.MemoryView":703 * * * cdef __Pyx_memviewslice *p_dst = &dst # <<<<<<<<<<<<<< * cdef int *p_suboffset_dim = &suboffset_dim * cdef Py_ssize_t start, stop, step */ __pyx_v_p_dst = (&__pyx_v_dst); /* "View.MemoryView":704 * * cdef __Pyx_memviewslice *p_dst = &dst * cdef int *p_suboffset_dim = &suboffset_dim # <<<<<<<<<<<<<< * cdef Py_ssize_t start, stop, step * cdef bint have_start, have_stop, have_step */ __pyx_v_p_suboffset_dim = (&__pyx_v_suboffset_dim); /* "View.MemoryView":708 * cdef bint have_start, have_stop, have_step * * for dim, index in enumerate(indices): # <<<<<<<<<<<<<< * if PyIndex_Check(index): * slice_memviewslice( */ __pyx_t_5 = 0; if (PyList_CheckExact(__pyx_v_indices) || PyTuple_CheckExact(__pyx_v_indices)) { __pyx_t_6 = __pyx_v_indices; __Pyx_INCREF(__pyx_t_6); __pyx_t_7 = 0; __pyx_t_8 = NULL; } else { __pyx_t_7 = -1; __pyx_t_6 = PyObject_GetIter(__pyx_v_indices); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); __pyx_t_8 = Py_TYPE(__pyx_t_6)->tp_iternext; } for (;;) { if (!__pyx_t_8 && PyList_CheckExact(__pyx_t_6)) { if (__pyx_t_7 >= PyList_GET_SIZE(__pyx_t_6)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_9 = PyList_GET_ITEM(__pyx_t_6, __pyx_t_7); __Pyx_INCREF(__pyx_t_9); __pyx_t_7++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_9 = PySequence_ITEM(__pyx_t_6, __pyx_t_7); __pyx_t_7++; if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else if (!__pyx_t_8 && PyTuple_CheckExact(__pyx_t_6)) { if (__pyx_t_7 >= PyTuple_GET_SIZE(__pyx_t_6)) break; #if CYTHON_COMPILING_IN_CPYTHON __pyx_t_9 = PyTuple_GET_ITEM(__pyx_t_6, __pyx_t_7); __Pyx_INCREF(__pyx_t_9); __pyx_t_7++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_t_9 = PySequence_ITEM(__pyx_t_6, __pyx_t_7); __pyx_t_7++; if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif } else { __pyx_t_9 = __pyx_t_8(__pyx_t_6); if (unlikely(!__pyx_t_9)) { if (PyErr_Occurred()) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) PyErr_Clear(); else {__pyx_filename = __pyx_f[2]; __pyx_lineno = 708; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } break; } __Pyx_GOTREF(__pyx_t_9); } __Pyx_XDECREF_SET(__pyx_v_index, __pyx_t_9); __pyx_t_9 = 0; __pyx_v_dim = __pyx_t_5; __pyx_t_5 = (__pyx_t_5 + 1); /* "View.MemoryView":709 * * for dim, index in enumerate(indices): * if PyIndex_Check(index): # <<<<<<<<<<<<<< * slice_memviewslice( * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], */ __pyx_t_2 = (__Pyx_PyIndex_Check(__pyx_v_index) != 0); if (__pyx_t_2) { /* "View.MemoryView":713 * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], * dim, new_ndim, p_suboffset_dim, * index, 0, 0, # start, stop, step # <<<<<<<<<<<<<< * 0, 0, 0, # have_{start,stop,step} * False) */ __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_v_index); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 713; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":715 * index, 0, 0, # start, stop, step * 0, 0, 0, # have_{start,stop,step} * False) # <<<<<<<<<<<<<< * elif index is None: * p_dst.shape[new_ndim] = 1 */ __pyx_t_11 = __pyx_memoryview_slice_memviewslice(__pyx_v_p_dst, (__pyx_v_p_src->shape[__pyx_v_dim]), (__pyx_v_p_src->strides[__pyx_v_dim]), (__pyx_v_p_src->suboffsets[__pyx_v_dim]), __pyx_v_dim, __pyx_v_new_ndim, __pyx_v_p_suboffset_dim, __pyx_t_10, 0, 0, 0, 0, 0, 0); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 710; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } /* "View.MemoryView":716 * 0, 0, 0, # have_{start,stop,step} * False) * elif index is None: # <<<<<<<<<<<<<< * p_dst.shape[new_ndim] = 1 * p_dst.strides[new_ndim] = 0 */ __pyx_t_2 = (__pyx_v_index == Py_None); __pyx_t_1 = (__pyx_t_2 != 0); if (__pyx_t_1) { /* "View.MemoryView":717 * False) * elif index is None: * p_dst.shape[new_ndim] = 1 # <<<<<<<<<<<<<< * p_dst.strides[new_ndim] = 0 * p_dst.suboffsets[new_ndim] = -1 */ (__pyx_v_p_dst->shape[__pyx_v_new_ndim]) = 1; /* "View.MemoryView":718 * elif index is None: * p_dst.shape[new_ndim] = 1 * p_dst.strides[new_ndim] = 0 # <<<<<<<<<<<<<< * p_dst.suboffsets[new_ndim] = -1 * new_ndim += 1 */ (__pyx_v_p_dst->strides[__pyx_v_new_ndim]) = 0; /* "View.MemoryView":719 * p_dst.shape[new_ndim] = 1 * p_dst.strides[new_ndim] = 0 * p_dst.suboffsets[new_ndim] = -1 # <<<<<<<<<<<<<< * new_ndim += 1 * else: */ (__pyx_v_p_dst->suboffsets[__pyx_v_new_ndim]) = -1; /* "View.MemoryView":720 * p_dst.strides[new_ndim] = 0 * p_dst.suboffsets[new_ndim] = -1 * new_ndim += 1 # <<<<<<<<<<<<<< * else: * start = index.start or 0 */ __pyx_v_new_ndim = (__pyx_v_new_ndim + 1); goto __pyx_L6; } /*else*/ { /* "View.MemoryView":722 * new_ndim += 1 * else: * start = index.start or 0 # <<<<<<<<<<<<<< * stop = index.stop or 0 * step = index.step or 0 */ __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__start); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 722; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_9); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 722; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_1) { __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __Pyx_INCREF(__pyx_int_0); __pyx_t_12 = __pyx_int_0; } else { __pyx_t_12 = __pyx_t_9; __pyx_t_9 = 0; } __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_t_12); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 722; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_start = __pyx_t_10; /* "View.MemoryView":723 * else: * start = index.start or 0 * stop = index.stop or 0 # <<<<<<<<<<<<<< * step = index.step or 0 * */ __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__stop); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 723; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_12); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_12); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 723; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_1) { __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __Pyx_INCREF(__pyx_int_0); __pyx_t_9 = __pyx_int_0; } else { __pyx_t_9 = __pyx_t_12; __pyx_t_12 = 0; } __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_t_9); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 723; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __pyx_v_stop = __pyx_t_10; /* "View.MemoryView":724 * start = index.start or 0 * stop = index.stop or 0 * step = index.step or 0 # <<<<<<<<<<<<<< * * have_start = index.start is not None */ __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__step); if (unlikely(!__pyx_t_9)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 724; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_9); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_9); if (unlikely(__pyx_t_1 < 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 724; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!__pyx_t_1) { __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __Pyx_INCREF(__pyx_int_0); __pyx_t_12 = __pyx_int_0; } else { __pyx_t_12 = __pyx_t_9; __pyx_t_9 = 0; } __pyx_t_10 = __Pyx_PyIndex_AsSsize_t(__pyx_t_12); if (unlikely((__pyx_t_10 == (Py_ssize_t)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 724; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_step = __pyx_t_10; /* "View.MemoryView":726 * step = index.step or 0 * * have_start = index.start is not None # <<<<<<<<<<<<<< * have_stop = index.stop is not None * have_step = index.step is not None */ __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__start); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 726; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_12); __pyx_t_1 = (__pyx_t_12 != Py_None); __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_have_start = __pyx_t_1; /* "View.MemoryView":727 * * have_start = index.start is not None * have_stop = index.stop is not None # <<<<<<<<<<<<<< * have_step = index.step is not None * */ __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__stop); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 727; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_12); __pyx_t_1 = (__pyx_t_12 != Py_None); __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_have_stop = __pyx_t_1; /* "View.MemoryView":728 * have_start = index.start is not None * have_stop = index.stop is not None * have_step = index.step is not None # <<<<<<<<<<<<<< * * slice_memviewslice( */ __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s__step); if (unlikely(!__pyx_t_12)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 728; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_12); __pyx_t_1 = (__pyx_t_12 != Py_None); __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0; __pyx_v_have_step = __pyx_t_1; /* "View.MemoryView":735 * start, stop, step, * have_start, have_stop, have_step, * True) # <<<<<<<<<<<<<< * new_ndim += 1 * */ __pyx_t_11 = __pyx_memoryview_slice_memviewslice(__pyx_v_p_dst, (__pyx_v_p_src->shape[__pyx_v_dim]), (__pyx_v_p_src->strides[__pyx_v_dim]), (__pyx_v_p_src->suboffsets[__pyx_v_dim]), __pyx_v_dim, __pyx_v_new_ndim, __pyx_v_p_suboffset_dim, __pyx_v_start, __pyx_v_stop, __pyx_v_step, __pyx_v_have_start, __pyx_v_have_stop, __pyx_v_have_step, 1); if (unlikely(__pyx_t_11 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 730; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":736 * have_start, have_stop, have_step, * True) * new_ndim += 1 # <<<<<<<<<<<<<< * * if isinstance(memview, _memoryviewslice): */ __pyx_v_new_ndim = (__pyx_v_new_ndim + 1); } __pyx_L6:; } __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0; /* "View.MemoryView":738 * new_ndim += 1 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * return memoryview_fromslice(dst, new_ndim, * memviewsliceobj.to_object_func, */ __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), ((PyObject *)__pyx_memoryviewslice_type)); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":739 * * if isinstance(memview, _memoryviewslice): * return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<< * memviewsliceobj.to_object_func, * memviewsliceobj.to_dtype_func, */ __Pyx_XDECREF(((PyObject *)__pyx_r)); /* "View.MemoryView":740 * if isinstance(memview, _memoryviewslice): * return memoryview_fromslice(dst, new_ndim, * memviewsliceobj.to_object_func, # <<<<<<<<<<<<<< * memviewsliceobj.to_dtype_func, * memview.dtype_is_object) */ if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 740; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } /* "View.MemoryView":742 * memviewsliceobj.to_object_func, * memviewsliceobj.to_dtype_func, * memview.dtype_is_object) # <<<<<<<<<<<<<< * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, */ __pyx_t_6 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, __pyx_v_memviewsliceobj->to_object_func, __pyx_v_memviewsliceobj->to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 739; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 739; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_6); __pyx_t_6 = 0; goto __pyx_L0; goto __pyx_L7; } /*else*/ { /* "View.MemoryView":744 * memview.dtype_is_object) * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<< * memview.dtype_is_object) * */ __Pyx_XDECREF(((PyObject *)__pyx_r)); /* "View.MemoryView":745 * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, * memview.dtype_is_object) # <<<<<<<<<<<<<< * * */ __pyx_t_6 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, NULL, NULL, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 744; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_6); if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_memoryview_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 744; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_6); __pyx_t_6 = 0; goto __pyx_L0; } __pyx_L7:; __pyx_r = ((struct __pyx_memoryview_obj *)Py_None); __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_9); __Pyx_XDECREF(__pyx_t_12); __Pyx_AddTraceback("View.MemoryView.memview_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_memviewsliceobj); __Pyx_XDECREF(__pyx_v_index); __Pyx_XGIVEREF((PyObject *)__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":769 * * @cname('__pyx_memoryview_slice_memviewslice') * cdef int slice_memviewslice( # <<<<<<<<<<<<<< * __Pyx_memviewslice *dst, * Py_ssize_t shape, Py_ssize_t stride, Py_ssize_t suboffset, */ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, Py_ssize_t __pyx_v_shape, Py_ssize_t __pyx_v_stride, Py_ssize_t __pyx_v_suboffset, int __pyx_v_dim, int __pyx_v_new_ndim, int *__pyx_v_suboffset_dim, Py_ssize_t __pyx_v_start, Py_ssize_t __pyx_v_stop, Py_ssize_t __pyx_v_step, int __pyx_v_have_start, int __pyx_v_have_stop, int __pyx_v_have_step, int __pyx_v_is_slice) { Py_ssize_t __pyx_v_new_shape; int __pyx_v_negative_step; int __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; /* "View.MemoryView":789 * cdef bint negative_step * * if not is_slice: # <<<<<<<<<<<<<< * * if start < 0: */ __pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0); if (__pyx_t_1) { /* "View.MemoryView":791 * if not is_slice: * * if start < 0: # <<<<<<<<<<<<<< * start += shape * if not 0 <= start < shape: */ __pyx_t_1 = ((__pyx_v_start < 0) != 0); if (__pyx_t_1) { /* "View.MemoryView":792 * * if start < 0: * start += shape # <<<<<<<<<<<<<< * if not 0 <= start < shape: * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); goto __pyx_L4; } __pyx_L4:; /* "View.MemoryView":793 * if start < 0: * start += shape * if not 0 <= start < shape: # <<<<<<<<<<<<<< * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) * else: */ __pyx_t_1 = (0 <= __pyx_v_start); if (__pyx_t_1) { __pyx_t_1 = (__pyx_v_start < __pyx_v_shape); } __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":794 * start += shape * if not 0 <= start < shape: * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<< * else: * */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, __pyx_k_40, __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":797 * else: * * negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<< * * if have_step and step == 0: */ __pyx_t_2 = (__pyx_v_have_step != 0); if (__pyx_t_2) { __pyx_t_1 = (__pyx_v_step < 0); __pyx_t_4 = __pyx_t_1; } else { __pyx_t_4 = __pyx_t_2; } __pyx_v_negative_step = __pyx_t_4; /* "View.MemoryView":799 * negative_step = have_step != 0 and step < 0 * * if have_step and step == 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) * */ if ((__pyx_v_have_step != 0)) { __pyx_t_4 = (__pyx_v_step == 0); __pyx_t_2 = __pyx_t_4; } else { __pyx_t_2 = (__pyx_v_have_step != 0); } if (__pyx_t_2) { /* "View.MemoryView":800 * * if have_step and step == 0: * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<< * * */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, __pyx_k_41, __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 800; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; /* "View.MemoryView":803 * * * if have_start: # <<<<<<<<<<<<<< * if start < 0: * start += shape */ __pyx_t_2 = (__pyx_v_have_start != 0); if (__pyx_t_2) { /* "View.MemoryView":804 * * if have_start: * if start < 0: # <<<<<<<<<<<<<< * start += shape * if start < 0: */ __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":805 * if have_start: * if start < 0: * start += shape # <<<<<<<<<<<<<< * if start < 0: * start = 0 */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); /* "View.MemoryView":806 * if start < 0: * start += shape * if start < 0: # <<<<<<<<<<<<<< * start = 0 * elif start >= shape: */ __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":807 * start += shape * if start < 0: * start = 0 # <<<<<<<<<<<<<< * elif start >= shape: * if negative_step: */ __pyx_v_start = 0; goto __pyx_L9; } __pyx_L9:; goto __pyx_L8; } /* "View.MemoryView":808 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< * if negative_step: * start = shape - 1 */ __pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":809 * start = 0 * elif start >= shape: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":810 * elif start >= shape: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< * else: * start = shape */ __pyx_v_start = (__pyx_v_shape - 1); goto __pyx_L10; } /*else*/ { /* "View.MemoryView":812 * start = shape - 1 * else: * start = shape # <<<<<<<<<<<<<< * else: * if negative_step: */ __pyx_v_start = __pyx_v_shape; } __pyx_L10:; goto __pyx_L8; } __pyx_L8:; goto __pyx_L7; } /*else*/ { /* "View.MemoryView":814 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< * start = shape - 1 * else: */ __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":815 * else: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< * else: * start = 0 */ __pyx_v_start = (__pyx_v_shape - 1); goto __pyx_L11; } /*else*/ { /* "View.MemoryView":817 * start = shape - 1 * else: * start = 0 # <<<<<<<<<<<<<< * * if have_stop: */ __pyx_v_start = 0; } __pyx_L11:; } __pyx_L7:; /* "View.MemoryView":819 * start = 0 * * if have_stop: # <<<<<<<<<<<<<< * if stop < 0: * stop += shape */ __pyx_t_2 = (__pyx_v_have_stop != 0); if (__pyx_t_2) { /* "View.MemoryView":820 * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< * stop += shape * if stop < 0: */ __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":821 * if have_stop: * if stop < 0: * stop += shape # <<<<<<<<<<<<<< * if stop < 0: * stop = 0 */ __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape); /* "View.MemoryView":822 * if stop < 0: * stop += shape * if stop < 0: # <<<<<<<<<<<<<< * stop = 0 * elif stop > shape: */ __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":823 * stop += shape * if stop < 0: * stop = 0 # <<<<<<<<<<<<<< * elif stop > shape: * stop = shape */ __pyx_v_stop = 0; goto __pyx_L14; } __pyx_L14:; goto __pyx_L13; } /* "View.MemoryView":824 * if stop < 0: * stop = 0 * elif stop > shape: # <<<<<<<<<<<<<< * stop = shape * else: */ __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":825 * stop = 0 * elif stop > shape: * stop = shape # <<<<<<<<<<<<<< * else: * if negative_step: */ __pyx_v_stop = __pyx_v_shape; goto __pyx_L13; } __pyx_L13:; goto __pyx_L12; } /*else*/ { /* "View.MemoryView":827 * stop = shape * else: * if negative_step: # <<<<<<<<<<<<<< * stop = -1 * else: */ __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { /* "View.MemoryView":828 * else: * if negative_step: * stop = -1 # <<<<<<<<<<<<<< * else: * stop = shape */ __pyx_v_stop = -1; goto __pyx_L15; } /*else*/ { /* "View.MemoryView":830 * stop = -1 * else: * stop = shape # <<<<<<<<<<<<<< * * if not have_step: */ __pyx_v_stop = __pyx_v_shape; } __pyx_L15:; } __pyx_L12:; /* "View.MemoryView":832 * stop = shape * * if not have_step: # <<<<<<<<<<<<<< * step = 1 * */ __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":833 * * if not have_step: * step = 1 # <<<<<<<<<<<<<< * * */ __pyx_v_step = 1; goto __pyx_L16; } __pyx_L16:; /* "View.MemoryView":837 * * with cython.cdivision(True): * new_shape = (stop - start) // step # <<<<<<<<<<<<<< * * if (stop - start) - step * new_shape: */ __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step); /* "View.MemoryView":839 * new_shape = (stop - start) // step * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< * new_shape += 1 * */ __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0); if (__pyx_t_2) { /* "View.MemoryView":840 * * if (stop - start) - step * new_shape: * new_shape += 1 # <<<<<<<<<<<<<< * * if new_shape < 0: */ __pyx_v_new_shape = (__pyx_v_new_shape + 1); goto __pyx_L17; } __pyx_L17:; /* "View.MemoryView":842 * new_shape += 1 * * if new_shape < 0: # <<<<<<<<<<<<<< * new_shape = 0 * */ __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":843 * * if new_shape < 0: * new_shape = 0 # <<<<<<<<<<<<<< * * */ __pyx_v_new_shape = 0; goto __pyx_L18; } __pyx_L18:; /* "View.MemoryView":846 * * * dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<< * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset */ (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step); /* "View.MemoryView":847 * * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<< * dst.suboffsets[new_ndim] = suboffset * */ (__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape; /* "View.MemoryView":848 * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<< * * */ (__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset; } __pyx_L3:; /* "View.MemoryView":851 * * * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< * dst.data += start * stride * else: */ __pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":852 * * if suboffset_dim[0] < 0: * dst.data += start * stride # <<<<<<<<<<<<<< * else: * dst.suboffsets[suboffset_dim[0]] += start * stride */ __pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride)); goto __pyx_L19; } /*else*/ { /* "View.MemoryView":854 * dst.data += start * stride * else: * dst.suboffsets[suboffset_dim[0]] += start * stride # <<<<<<<<<<<<<< * * if suboffset >= 0: */ __pyx_t_3 = (__pyx_v_suboffset_dim[0]); (__pyx_v_dst->suboffsets[__pyx_t_3]) = ((__pyx_v_dst->suboffsets[__pyx_t_3]) + (__pyx_v_start * __pyx_v_stride)); } __pyx_L19:; /* "View.MemoryView":856 * dst.suboffsets[suboffset_dim[0]] += start * stride * * if suboffset >= 0: # <<<<<<<<<<<<<< * if not is_slice: * if new_ndim == 0: */ __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":857 * * if suboffset >= 0: * if not is_slice: # <<<<<<<<<<<<<< * if new_ndim == 0: * dst.data = ( dst.data)[0] + suboffset */ __pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":858 * if suboffset >= 0: * if not is_slice: * if new_ndim == 0: # <<<<<<<<<<<<<< * dst.data = ( dst.data)[0] + suboffset * else: */ __pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":859 * if not is_slice: * if new_ndim == 0: * dst.data = ( dst.data)[0] + suboffset # <<<<<<<<<<<<<< * else: * _err_dim(IndexError, "All dimensions preceding dimension %d " */ __pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset); goto __pyx_L22; } /*else*/ { /* "View.MemoryView":862 * else: * _err_dim(IndexError, "All dimensions preceding dimension %d " * "must be indexed and not sliced", dim) # <<<<<<<<<<<<<< * else: * suboffset_dim[0] = new_ndim */ __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, __pyx_k_42, __pyx_v_dim); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 861; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L22:; goto __pyx_L21; } /*else*/ { /* "View.MemoryView":864 * "must be indexed and not sliced", dim) * else: * suboffset_dim[0] = new_ndim # <<<<<<<<<<<<<< * * return 0 */ (__pyx_v_suboffset_dim[0]) = __pyx_v_new_ndim; } __pyx_L21:; goto __pyx_L20; } __pyx_L20:; /* "View.MemoryView":866 * suboffset_dim[0] = new_ndim * * return 0 # <<<<<<<<<<<<<< * * */ __pyx_r = 0; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_AddTraceback("View.MemoryView.slice_memviewslice", __pyx_clineno, __pyx_lineno, __pyx_filename); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } __pyx_r = -1; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":872 * * @cname('__pyx_pybuffer_index') * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, # <<<<<<<<<<<<<< * int dim) except NULL: * cdef Py_ssize_t shape, stride, suboffset = -1 */ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, Py_ssize_t __pyx_v_index, int __pyx_v_dim) { Py_ssize_t __pyx_v_shape; Py_ssize_t __pyx_v_stride; Py_ssize_t __pyx_v_suboffset; Py_ssize_t __pyx_v_itemsize; char *__pyx_v_resultp; char *__pyx_r; __Pyx_RefNannyDeclarations Py_ssize_t __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("pybuffer_index", 0); /* "View.MemoryView":874 * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, * int dim) except NULL: * cdef Py_ssize_t shape, stride, suboffset = -1 # <<<<<<<<<<<<<< * cdef Py_ssize_t itemsize = view.itemsize * cdef char *resultp */ __pyx_v_suboffset = -1; /* "View.MemoryView":875 * int dim) except NULL: * cdef Py_ssize_t shape, stride, suboffset = -1 * cdef Py_ssize_t itemsize = view.itemsize # <<<<<<<<<<<<<< * cdef char *resultp * */ __pyx_t_1 = __pyx_v_view->itemsize; __pyx_v_itemsize = __pyx_t_1; /* "View.MemoryView":878 * cdef char *resultp * * if view.ndim == 0: # <<<<<<<<<<<<<< * shape = view.len / itemsize * stride = itemsize */ __pyx_t_2 = ((__pyx_v_view->ndim == 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":879 * * if view.ndim == 0: * shape = view.len / itemsize # <<<<<<<<<<<<<< * stride = itemsize * else: */ if (unlikely(__pyx_v_itemsize == 0)) { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif PyErr_Format(PyExc_ZeroDivisionError, "integer division or modulo by zero"); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif {__pyx_filename = __pyx_f[2]; __pyx_lineno = 879; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } else if (sizeof(Py_ssize_t) == sizeof(long) && unlikely(__pyx_v_itemsize == -1) && unlikely(UNARY_NEG_WOULD_OVERFLOW(__pyx_v_view->len))) { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif PyErr_Format(PyExc_OverflowError, "value too large to perform division"); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif {__pyx_filename = __pyx_f[2]; __pyx_lineno = 879; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_v_shape = __Pyx_div_Py_ssize_t(__pyx_v_view->len, __pyx_v_itemsize); /* "View.MemoryView":880 * if view.ndim == 0: * shape = view.len / itemsize * stride = itemsize # <<<<<<<<<<<<<< * else: * shape = view.shape[dim] */ __pyx_v_stride = __pyx_v_itemsize; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":882 * stride = itemsize * else: * shape = view.shape[dim] # <<<<<<<<<<<<<< * stride = view.strides[dim] * if view.suboffsets != NULL: */ __pyx_v_shape = (__pyx_v_view->shape[__pyx_v_dim]); /* "View.MemoryView":883 * else: * shape = view.shape[dim] * stride = view.strides[dim] # <<<<<<<<<<<<<< * if view.suboffsets != NULL: * suboffset = view.suboffsets[dim] */ __pyx_v_stride = (__pyx_v_view->strides[__pyx_v_dim]); /* "View.MemoryView":884 * shape = view.shape[dim] * stride = view.strides[dim] * if view.suboffsets != NULL: # <<<<<<<<<<<<<< * suboffset = view.suboffsets[dim] * */ __pyx_t_2 = ((__pyx_v_view->suboffsets != NULL) != 0); if (__pyx_t_2) { /* "View.MemoryView":885 * stride = view.strides[dim] * if view.suboffsets != NULL: * suboffset = view.suboffsets[dim] # <<<<<<<<<<<<<< * * if index < 0: */ __pyx_v_suboffset = (__pyx_v_view->suboffsets[__pyx_v_dim]); goto __pyx_L4; } __pyx_L4:; } __pyx_L3:; /* "View.MemoryView":887 * suboffset = view.suboffsets[dim] * * if index < 0: # <<<<<<<<<<<<<< * index += view.shape[dim] * if index < 0: */ __pyx_t_2 = ((__pyx_v_index < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":888 * * if index < 0: * index += view.shape[dim] # <<<<<<<<<<<<<< * if index < 0: * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) */ __pyx_v_index = (__pyx_v_index + (__pyx_v_view->shape[__pyx_v_dim])); /* "View.MemoryView":889 * if index < 0: * index += view.shape[dim] * if index < 0: # <<<<<<<<<<<<<< * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * */ __pyx_t_2 = ((__pyx_v_index < 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":890 * index += view.shape[dim] * if index < 0: * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) # <<<<<<<<<<<<<< * * if index >= shape: */ __pyx_t_3 = PyInt_FromLong(__pyx_v_dim); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_43), __pyx_t_3); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_4)); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_t_4)); __Pyx_GIVEREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_t_4 = PyObject_Call(__pyx_builtin_IndexError, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_4, 0, 0, 0); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 890; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L6; } __pyx_L6:; goto __pyx_L5; } __pyx_L5:; /* "View.MemoryView":892 * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * * if index >= shape: # <<<<<<<<<<<<<< * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * */ __pyx_t_2 = ((__pyx_v_index >= __pyx_v_shape) != 0); if (__pyx_t_2) { /* "View.MemoryView":893 * * if index >= shape: * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) # <<<<<<<<<<<<<< * * resultp = bufp + index * stride */ __pyx_t_4 = PyInt_FromLong(__pyx_v_dim); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_43), __pyx_t_4); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_builtin_IndexError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 893; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L7; } __pyx_L7:; /* "View.MemoryView":895 * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * * resultp = bufp + index * stride # <<<<<<<<<<<<<< * if suboffset >= 0: * resultp = ( resultp)[0] + suboffset */ __pyx_v_resultp = (__pyx_v_bufp + (__pyx_v_index * __pyx_v_stride)); /* "View.MemoryView":896 * * resultp = bufp + index * stride * if suboffset >= 0: # <<<<<<<<<<<<<< * resultp = ( resultp)[0] + suboffset * */ __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":897 * resultp = bufp + index * stride * if suboffset >= 0: * resultp = ( resultp)[0] + suboffset # <<<<<<<<<<<<<< * * return resultp */ __pyx_v_resultp = ((((char **)__pyx_v_resultp)[0]) + __pyx_v_suboffset); goto __pyx_L8; } __pyx_L8:; /* "View.MemoryView":899 * resultp = ( resultp)[0] + suboffset * * return resultp # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_resultp; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView.pybuffer_index", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":905 * * @cname('__pyx_memslice_transpose') * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: # <<<<<<<<<<<<<< * cdef int ndim = memslice.memview.view.ndim * */ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { int __pyx_v_ndim; Py_ssize_t *__pyx_v_shape; Py_ssize_t *__pyx_v_strides; int __pyx_v_i; int __pyx_v_j; int __pyx_r; int __pyx_t_1; Py_ssize_t *__pyx_t_2; long __pyx_t_3; Py_ssize_t __pyx_t_4; Py_ssize_t __pyx_t_5; int __pyx_t_6; int __pyx_t_7; int __pyx_t_8; int __pyx_t_9; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; /* "View.MemoryView":906 * @cname('__pyx_memslice_transpose') * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: * cdef int ndim = memslice.memview.view.ndim # <<<<<<<<<<<<<< * * cdef Py_ssize_t *shape = memslice.shape */ __pyx_t_1 = __pyx_v_memslice->memview->view.ndim; __pyx_v_ndim = __pyx_t_1; /* "View.MemoryView":908 * cdef int ndim = memslice.memview.view.ndim * * cdef Py_ssize_t *shape = memslice.shape # <<<<<<<<<<<<<< * cdef Py_ssize_t *strides = memslice.strides * */ __pyx_t_2 = __pyx_v_memslice->shape; __pyx_v_shape = __pyx_t_2; /* "View.MemoryView":909 * * cdef Py_ssize_t *shape = memslice.shape * cdef Py_ssize_t *strides = memslice.strides # <<<<<<<<<<<<<< * * */ __pyx_t_2 = __pyx_v_memslice->strides; __pyx_v_strides = __pyx_t_2; /* "View.MemoryView":913 * * cdef int i, j * for i in range(ndim / 2): # <<<<<<<<<<<<<< * j = ndim - 1 - i * strides[i], strides[j] = strides[j], strides[i] */ __pyx_t_3 = __Pyx_div_long(__pyx_v_ndim, 2); for (__pyx_t_1 = 0; __pyx_t_1 < __pyx_t_3; __pyx_t_1+=1) { __pyx_v_i = __pyx_t_1; /* "View.MemoryView":914 * cdef int i, j * for i in range(ndim / 2): * j = ndim - 1 - i # <<<<<<<<<<<<<< * strides[i], strides[j] = strides[j], strides[i] * shape[i], shape[j] = shape[j], shape[i] */ __pyx_v_j = ((__pyx_v_ndim - 1) - __pyx_v_i); /* "View.MemoryView":915 * for i in range(ndim / 2): * j = ndim - 1 - i * strides[i], strides[j] = strides[j], strides[i] # <<<<<<<<<<<<<< * shape[i], shape[j] = shape[j], shape[i] * */ __pyx_t_4 = (__pyx_v_strides[__pyx_v_j]); __pyx_t_5 = (__pyx_v_strides[__pyx_v_i]); (__pyx_v_strides[__pyx_v_i]) = __pyx_t_4; (__pyx_v_strides[__pyx_v_j]) = __pyx_t_5; /* "View.MemoryView":916 * j = ndim - 1 - i * strides[i], strides[j] = strides[j], strides[i] * shape[i], shape[j] = shape[j], shape[i] # <<<<<<<<<<<<<< * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: */ __pyx_t_5 = (__pyx_v_shape[__pyx_v_j]); __pyx_t_4 = (__pyx_v_shape[__pyx_v_i]); (__pyx_v_shape[__pyx_v_i]) = __pyx_t_5; (__pyx_v_shape[__pyx_v_j]) = __pyx_t_4; /* "View.MemoryView":918 * shape[i], shape[j] = shape[j], shape[i] * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: # <<<<<<<<<<<<<< * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") * */ __pyx_t_6 = (((__pyx_v_memslice->suboffsets[__pyx_v_i]) >= 0) != 0); if (!__pyx_t_6) { __pyx_t_7 = (((__pyx_v_memslice->suboffsets[__pyx_v_j]) >= 0) != 0); __pyx_t_8 = __pyx_t_7; } else { __pyx_t_8 = __pyx_t_6; } if (__pyx_t_8) { /* "View.MemoryView":919 * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") # <<<<<<<<<<<<<< * * return 1 */ __pyx_t_9 = __pyx_memoryview_err(__pyx_builtin_ValueError, __pyx_k_44); if (unlikely(__pyx_t_9 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 919; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L5; } __pyx_L5:; } /* "View.MemoryView":921 * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") * * return 1 # <<<<<<<<<<<<<< * * */ __pyx_r = 1; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_AddTraceback("View.MemoryView.transpose_memslice", __pyx_clineno, __pyx_lineno, __pyx_filename); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* Python wrapper */ static void __pyx_memoryviewslice___dealloc__(PyObject *__pyx_v_self); /*proto*/ static void __pyx_memoryviewslice___dealloc__(PyObject *__pyx_v_self) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__dealloc__ (wrapper)", 0); __pyx_memoryviewslice_MemoryView_16_memoryviewslice___dealloc__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":938 * cdef int (*to_dtype_func)(char *, object) except 0 * * def __dealloc__(self): # <<<<<<<<<<<<<< * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) * */ static void __pyx_memoryviewslice_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__dealloc__", 0); /* "View.MemoryView":939 * * def __dealloc__(self): * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) # <<<<<<<<<<<<<< * * cdef convert_item_to_object(self, char *itemp): */ __PYX_XDEC_MEMVIEW((&__pyx_v_self->from_slice), 1); __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":941 * __PYX_XDEC_MEMVIEW(&self.from_slice, 1) * * cdef convert_item_to_object(self, char *itemp): # <<<<<<<<<<<<<< * if self.to_object_func != NULL: * return self.to_object_func(itemp) */ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("convert_item_to_object", 0); /* "View.MemoryView":942 * * cdef convert_item_to_object(self, char *itemp): * if self.to_object_func != NULL: # <<<<<<<<<<<<<< * return self.to_object_func(itemp) * else: */ __pyx_t_1 = ((__pyx_v_self->to_object_func != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":943 * cdef convert_item_to_object(self, char *itemp): * if self.to_object_func != NULL: * return self.to_object_func(itemp) # <<<<<<<<<<<<<< * else: * return memoryview.convert_item_to_object(self, itemp) */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = __pyx_v_self->to_object_func(__pyx_v_itemp); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 943; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":945 * return self.to_object_func(itemp) * else: * return memoryview.convert_item_to_object(self, itemp) # <<<<<<<<<<<<<< * * cdef assign_item_from_object(self, char *itemp, object value): */ __Pyx_XDECREF(__pyx_r); __pyx_t_2 = __pyx_vtabptr_memoryview->convert_item_to_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 945; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; } __pyx_L3:; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_AddTraceback("View.MemoryView._memoryviewslice.convert_item_to_object", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":947 * return memoryview.convert_item_to_object(self, itemp) * * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< * if self.to_dtype_func != NULL: * self.to_dtype_func(itemp, value) */ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("assign_item_from_object", 0); /* "View.MemoryView":948 * * cdef assign_item_from_object(self, char *itemp, object value): * if self.to_dtype_func != NULL: # <<<<<<<<<<<<<< * self.to_dtype_func(itemp, value) * else: */ __pyx_t_1 = ((__pyx_v_self->to_dtype_func != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":949 * cdef assign_item_from_object(self, char *itemp, object value): * if self.to_dtype_func != NULL: * self.to_dtype_func(itemp, value) # <<<<<<<<<<<<<< * else: * memoryview.assign_item_from_object(self, itemp, value) */ __pyx_t_2 = __pyx_v_self->to_dtype_func(__pyx_v_itemp, __pyx_v_value); if (unlikely(__pyx_t_2 == 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 949; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } /*else*/ { /* "View.MemoryView":951 * self.to_dtype_func(itemp, value) * else: * memoryview.assign_item_from_object(self, itemp, value) # <<<<<<<<<<<<<< * * property base: */ __pyx_t_3 = __pyx_vtabptr_memoryview->assign_item_from_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 951; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } __pyx_L3:; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView._memoryviewslice.assign_item_from_object", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* Python wrapper */ static PyObject *__pyx_memoryviewslice__get__base(PyObject *__pyx_v_self); /*proto*/ static PyObject *__pyx_memoryviewslice__get__base(PyObject *__pyx_v_self) { PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__ (wrapper)", 0); __pyx_r = __pyx_memoryviewslice__get__base_MemoryView_16_memoryviewslice_4base___get__(((struct __pyx_memoryviewslice_obj *)__pyx_v_self)); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":955 * property base: * @cname('__pyx_memoryviewslice__get__base') * def __get__(self): # <<<<<<<<<<<<<< * return self.from_object * */ static PyObject *__pyx_memoryviewslice__get__base_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self) { PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__", 0); /* "View.MemoryView":956 * @cname('__pyx_memoryviewslice__get__base') * def __get__(self): * return self.from_object # <<<<<<<<<<<<<< * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(__pyx_v_self->from_object); __pyx_r = __pyx_v_self->from_object; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":962 * * @cname('__pyx_memoryview_fromslice') * cdef memoryview_fromslice(__Pyx_memviewslice memviewslice, # <<<<<<<<<<<<<< * int ndim, * object (*to_object_func)(char *), */ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewslice, int __pyx_v_ndim, PyObject *(*__pyx_v_to_object_func)(char *), int (*__pyx_v_to_dtype_func)(char *, PyObject *), int __pyx_v_dtype_is_object) { struct __pyx_memoryviewslice_obj *__pyx_v_result = 0; int __pyx_v_i; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; __Pyx_TypeInfo *__pyx_t_4; Py_buffer __pyx_t_5; Py_ssize_t __pyx_t_6; int __pyx_t_7; int __pyx_t_8; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memoryview_fromslice", 0); /* "View.MemoryView":971 * cdef int i * * if memviewslice.memview == Py_None: # <<<<<<<<<<<<<< * return None * */ __pyx_t_1 = ((((PyObject *)__pyx_v_memviewslice.memview) == Py_None) != 0); if (__pyx_t_1) { /* "View.MemoryView":972 * * if memviewslice.memview == Py_None: * return None # <<<<<<<<<<<<<< * * */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(Py_None); __pyx_r = Py_None; goto __pyx_L0; goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":977 * * * result = _memoryviewslice(None, 0, dtype_is_object) # <<<<<<<<<<<<<< * * result.from_slice = memviewslice */ __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_dtype_is_object); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 977; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 977; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(Py_None); PyTuple_SET_ITEM(__pyx_t_3, 0, Py_None); __Pyx_GIVEREF(Py_None); __Pyx_INCREF(__pyx_int_0); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_int_0); __Pyx_GIVEREF(__pyx_int_0); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(((PyObject *)((PyObject *)__pyx_memoryviewslice_type)), ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 977; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_v_result = ((struct __pyx_memoryviewslice_obj *)__pyx_t_2); __pyx_t_2 = 0; /* "View.MemoryView":979 * result = _memoryviewslice(None, 0, dtype_is_object) * * result.from_slice = memviewslice # <<<<<<<<<<<<<< * __PYX_INC_MEMVIEW(&memviewslice, 1) * */ __pyx_v_result->from_slice = __pyx_v_memviewslice; /* "View.MemoryView":980 * * result.from_slice = memviewslice * __PYX_INC_MEMVIEW(&memviewslice, 1) # <<<<<<<<<<<<<< * * result.from_object = ( memviewslice.memview).base */ __PYX_INC_MEMVIEW((&__pyx_v_memviewslice), 1); /* "View.MemoryView":982 * __PYX_INC_MEMVIEW(&memviewslice, 1) * * result.from_object = ( memviewslice.memview).base # <<<<<<<<<<<<<< * result.typeinfo = memviewslice.memview.typeinfo * */ __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_memviewslice.memview), __pyx_n_s__base); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 982; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __Pyx_GOTREF(__pyx_v_result->from_object); __Pyx_DECREF(__pyx_v_result->from_object); __pyx_v_result->from_object = __pyx_t_2; __pyx_t_2 = 0; /* "View.MemoryView":983 * * result.from_object = ( memviewslice.memview).base * result.typeinfo = memviewslice.memview.typeinfo # <<<<<<<<<<<<<< * * result.view = memviewslice.memview.view */ __pyx_t_4 = __pyx_v_memviewslice.memview->typeinfo; __pyx_v_result->__pyx_base.typeinfo = __pyx_t_4; /* "View.MemoryView":985 * result.typeinfo = memviewslice.memview.typeinfo * * result.view = memviewslice.memview.view # <<<<<<<<<<<<<< * result.view.buf = memviewslice.data * result.view.ndim = ndim */ __pyx_t_5 = __pyx_v_memviewslice.memview->view; __pyx_v_result->__pyx_base.view = __pyx_t_5; /* "View.MemoryView":986 * * result.view = memviewslice.memview.view * result.view.buf = memviewslice.data # <<<<<<<<<<<<<< * result.view.ndim = ndim * (<__pyx_buffer *> &result.view).obj = Py_None */ __pyx_v_result->__pyx_base.view.buf = ((void *)__pyx_v_memviewslice.data); /* "View.MemoryView":987 * result.view = memviewslice.memview.view * result.view.buf = memviewslice.data * result.view.ndim = ndim # <<<<<<<<<<<<<< * (<__pyx_buffer *> &result.view).obj = Py_None * Py_INCREF(Py_None) */ __pyx_v_result->__pyx_base.view.ndim = __pyx_v_ndim; /* "View.MemoryView":988 * result.view.buf = memviewslice.data * result.view.ndim = ndim * (<__pyx_buffer *> &result.view).obj = Py_None # <<<<<<<<<<<<<< * Py_INCREF(Py_None) * */ ((Py_buffer *)(&__pyx_v_result->__pyx_base.view))->obj = Py_None; /* "View.MemoryView":989 * result.view.ndim = ndim * (<__pyx_buffer *> &result.view).obj = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< * * result.flags = PyBUF_RECORDS */ Py_INCREF(Py_None); /* "View.MemoryView":991 * Py_INCREF(Py_None) * * result.flags = PyBUF_RECORDS # <<<<<<<<<<<<<< * * result.view.shape = result.from_slice.shape */ __pyx_v_result->__pyx_base.flags = PyBUF_RECORDS; /* "View.MemoryView":993 * result.flags = PyBUF_RECORDS * * result.view.shape = result.from_slice.shape # <<<<<<<<<<<<<< * result.view.strides = result.from_slice.strides * result.view.suboffsets = result.from_slice.suboffsets */ __pyx_v_result->__pyx_base.view.shape = ((Py_ssize_t *)__pyx_v_result->from_slice.shape); /* "View.MemoryView":994 * * result.view.shape = result.from_slice.shape * result.view.strides = result.from_slice.strides # <<<<<<<<<<<<<< * result.view.suboffsets = result.from_slice.suboffsets * */ __pyx_v_result->__pyx_base.view.strides = ((Py_ssize_t *)__pyx_v_result->from_slice.strides); /* "View.MemoryView":995 * result.view.shape = result.from_slice.shape * result.view.strides = result.from_slice.strides * result.view.suboffsets = result.from_slice.suboffsets # <<<<<<<<<<<<<< * * result.view.len = result.view.itemsize */ __pyx_v_result->__pyx_base.view.suboffsets = ((Py_ssize_t *)__pyx_v_result->from_slice.suboffsets); /* "View.MemoryView":997 * result.view.suboffsets = result.from_slice.suboffsets * * result.view.len = result.view.itemsize # <<<<<<<<<<<<<< * for i in range(ndim): * result.view.len *= result.view.shape[i] */ __pyx_t_6 = __pyx_v_result->__pyx_base.view.itemsize; __pyx_v_result->__pyx_base.view.len = __pyx_t_6; /* "View.MemoryView":998 * * result.view.len = result.view.itemsize * for i in range(ndim): # <<<<<<<<<<<<<< * result.view.len *= result.view.shape[i] * */ __pyx_t_7 = __pyx_v_ndim; for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_7; __pyx_t_8+=1) { __pyx_v_i = __pyx_t_8; /* "View.MemoryView":999 * result.view.len = result.view.itemsize * for i in range(ndim): * result.view.len *= result.view.shape[i] # <<<<<<<<<<<<<< * * result.to_object_func = to_object_func */ __pyx_v_result->__pyx_base.view.len = (__pyx_v_result->__pyx_base.view.len * (__pyx_v_result->__pyx_base.view.shape[__pyx_v_i])); } /* "View.MemoryView":1001 * result.view.len *= result.view.shape[i] * * result.to_object_func = to_object_func # <<<<<<<<<<<<<< * result.to_dtype_func = to_dtype_func * */ __pyx_v_result->to_object_func = __pyx_v_to_object_func; /* "View.MemoryView":1002 * * result.to_object_func = to_object_func * result.to_dtype_func = to_dtype_func # <<<<<<<<<<<<<< * * return result */ __pyx_v_result->to_dtype_func = __pyx_v_to_dtype_func; /* "View.MemoryView":1004 * result.to_dtype_func = to_dtype_func * * return result # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_get_slice_from_memoryview') */ __Pyx_XDECREF(__pyx_r); __Pyx_INCREF(((PyObject *)__pyx_v_result)); __pyx_r = ((PyObject *)__pyx_v_result); goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView.memoryview_fromslice", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_result); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":1007 * * @cname('__pyx_memoryview_get_slice_from_memoryview') * cdef __Pyx_memviewslice *get_slice_from_memview(memoryview memview, # <<<<<<<<<<<<<< * __Pyx_memviewslice *mslice): * cdef _memoryviewslice obj */ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_mslice) { struct __pyx_memoryviewslice_obj *__pyx_v_obj = 0; __Pyx_memviewslice *__pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("get_slice_from_memview", 0); /* "View.MemoryView":1010 * __Pyx_memviewslice *mslice): * cdef _memoryviewslice obj * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * obj = memview * return &obj.from_slice */ __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), ((PyObject *)__pyx_memoryviewslice_type)); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":1011 * cdef _memoryviewslice obj * if isinstance(memview, _memoryviewslice): * obj = memview # <<<<<<<<<<<<<< * return &obj.from_slice * else: */ if (!(likely(((((PyObject *)__pyx_v_memview)) == Py_None) || likely(__Pyx_TypeTest(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type))))) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1011; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_INCREF(((PyObject *)__pyx_v_memview)); __pyx_v_obj = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview); /* "View.MemoryView":1012 * if isinstance(memview, _memoryviewslice): * obj = memview * return &obj.from_slice # <<<<<<<<<<<<<< * else: * slice_copy(memview, mslice) */ __pyx_r = (&__pyx_v_obj->from_slice); goto __pyx_L0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1014 * return &obj.from_slice * else: * slice_copy(memview, mslice) # <<<<<<<<<<<<<< * return mslice * */ __pyx_memoryview_slice_copy(__pyx_v_memview, __pyx_v_mslice); /* "View.MemoryView":1015 * else: * slice_copy(memview, mslice) * return mslice # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_slice_copy') */ __pyx_r = __pyx_v_mslice; goto __pyx_L0; } __pyx_L3:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_WriteUnraisable("View.MemoryView.get_slice_from_memview", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_obj); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":1018 * * @cname('__pyx_memoryview_slice_copy') * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst): # <<<<<<<<<<<<<< * cdef int dim * cdef Py_ssize_t *shape, *strides, *suboffsets */ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_dst) { int __pyx_v_dim; Py_ssize_t *__pyx_v_shape; Py_ssize_t *__pyx_v_strides; Py_ssize_t *__pyx_v_suboffsets; __Pyx_RefNannyDeclarations Py_ssize_t *__pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; __Pyx_RefNannySetupContext("slice_copy", 0); /* "View.MemoryView":1022 * cdef Py_ssize_t *shape, *strides, *suboffsets * * shape = memview.view.shape # <<<<<<<<<<<<<< * strides = memview.view.strides * suboffsets = memview.view.suboffsets */ __pyx_t_1 = __pyx_v_memview->view.shape; __pyx_v_shape = __pyx_t_1; /* "View.MemoryView":1023 * * shape = memview.view.shape * strides = memview.view.strides # <<<<<<<<<<<<<< * suboffsets = memview.view.suboffsets * */ __pyx_t_1 = __pyx_v_memview->view.strides; __pyx_v_strides = __pyx_t_1; /* "View.MemoryView":1024 * shape = memview.view.shape * strides = memview.view.strides * suboffsets = memview.view.suboffsets # <<<<<<<<<<<<<< * * dst.memview = <__pyx_memoryview *> memview */ __pyx_t_1 = __pyx_v_memview->view.suboffsets; __pyx_v_suboffsets = __pyx_t_1; /* "View.MemoryView":1026 * suboffsets = memview.view.suboffsets * * dst.memview = <__pyx_memoryview *> memview # <<<<<<<<<<<<<< * dst.data = memview.view.buf * */ __pyx_v_dst->memview = ((struct __pyx_memoryview_obj *)__pyx_v_memview); /* "View.MemoryView":1027 * * dst.memview = <__pyx_memoryview *> memview * dst.data = memview.view.buf # <<<<<<<<<<<<<< * * for dim in range(memview.view.ndim): */ __pyx_v_dst->data = ((char *)__pyx_v_memview->view.buf); /* "View.MemoryView":1029 * dst.data = memview.view.buf * * for dim in range(memview.view.ndim): # <<<<<<<<<<<<<< * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] */ __pyx_t_2 = __pyx_v_memview->view.ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_dim = __pyx_t_3; /* "View.MemoryView":1030 * * for dim in range(memview.view.ndim): * dst.shape[dim] = shape[dim] # <<<<<<<<<<<<<< * dst.strides[dim] = strides[dim] * if suboffsets == NULL: */ (__pyx_v_dst->shape[__pyx_v_dim]) = (__pyx_v_shape[__pyx_v_dim]); /* "View.MemoryView":1031 * for dim in range(memview.view.ndim): * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] # <<<<<<<<<<<<<< * if suboffsets == NULL: * dst.suboffsets[dim] = -1 */ (__pyx_v_dst->strides[__pyx_v_dim]) = (__pyx_v_strides[__pyx_v_dim]); /* "View.MemoryView":1032 * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] * if suboffsets == NULL: # <<<<<<<<<<<<<< * dst.suboffsets[dim] = -1 * else: */ __pyx_t_4 = ((__pyx_v_suboffsets == NULL) != 0); if (__pyx_t_4) { /* "View.MemoryView":1033 * dst.strides[dim] = strides[dim] * if suboffsets == NULL: * dst.suboffsets[dim] = -1 # <<<<<<<<<<<<<< * else: * dst.suboffsets[dim] = suboffsets[dim] */ (__pyx_v_dst->suboffsets[__pyx_v_dim]) = -1; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":1035 * dst.suboffsets[dim] = -1 * else: * dst.suboffsets[dim] = suboffsets[dim] # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_copy_object') */ (__pyx_v_dst->suboffsets[__pyx_v_dim]) = (__pyx_v_suboffsets[__pyx_v_dim]); } __pyx_L5:; } __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":1038 * * @cname('__pyx_memoryview_copy_object') * cdef memoryview_copy(memoryview memview): # <<<<<<<<<<<<<< * "Create a new memoryview object" * cdef __Pyx_memviewslice memviewslice */ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx_v_memview) { __Pyx_memviewslice __pyx_v_memviewslice; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memoryview_copy", 0); /* "View.MemoryView":1041 * "Create a new memoryview object" * cdef __Pyx_memviewslice memviewslice * slice_copy(memview, &memviewslice) # <<<<<<<<<<<<<< * return memoryview_copy_from_slice(memview, &memviewslice) * */ __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_memviewslice)); /* "View.MemoryView":1042 * cdef __Pyx_memviewslice memviewslice * slice_copy(memview, &memviewslice) * return memoryview_copy_from_slice(memview, &memviewslice) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_copy_object_from_slice') */ __Pyx_XDECREF(__pyx_r); __pyx_t_1 = __pyx_memoryview_copy_object_from_slice(__pyx_v_memview, (&__pyx_v_memviewslice)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1042; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_AddTraceback("View.MemoryView.memoryview_copy", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":1045 * * @cname('__pyx_memoryview_copy_object_from_slice') * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<< * """ * Create a new memoryview object from a given memoryview object and slice. */ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *__pyx_v_memview, __Pyx_memviewslice *__pyx_v_memviewslice) { PyObject *(*__pyx_v_to_object_func)(char *); int (*__pyx_v_to_dtype_func)(char *, PyObject *); PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations int __pyx_t_1; int __pyx_t_2; PyObject *(*__pyx_t_3)(char *); int (*__pyx_t_4)(char *, PyObject *); PyObject *__pyx_t_5 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannySetupContext("memoryview_copy_from_slice", 0); /* "View.MemoryView":1052 * cdef int (*to_dtype_func)(char *, object) except 0 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< * to_object_func = (<_memoryviewslice> memview).to_object_func * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func */ __pyx_t_1 = __Pyx_TypeCheck(((PyObject *)__pyx_v_memview), ((PyObject *)__pyx_memoryviewslice_type)); __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { /* "View.MemoryView":1053 * * if isinstance(memview, _memoryviewslice): * to_object_func = (<_memoryviewslice> memview).to_object_func # <<<<<<<<<<<<<< * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func * else: */ __pyx_t_3 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_object_func; __pyx_v_to_object_func = __pyx_t_3; /* "View.MemoryView":1054 * if isinstance(memview, _memoryviewslice): * to_object_func = (<_memoryviewslice> memview).to_object_func * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func # <<<<<<<<<<<<<< * else: * to_object_func = NULL */ __pyx_t_4 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_dtype_func; __pyx_v_to_dtype_func = __pyx_t_4; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1056 * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func * else: * to_object_func = NULL # <<<<<<<<<<<<<< * to_dtype_func = NULL * */ __pyx_v_to_object_func = NULL; /* "View.MemoryView":1057 * else: * to_object_func = NULL * to_dtype_func = NULL # <<<<<<<<<<<<<< * * return memoryview_fromslice(memviewslice[0], memview.view.ndim, */ __pyx_v_to_dtype_func = NULL; } __pyx_L3:; /* "View.MemoryView":1059 * to_dtype_func = NULL * * return memoryview_fromslice(memviewslice[0], memview.view.ndim, # <<<<<<<<<<<<<< * to_object_func, to_dtype_func, * memview.dtype_is_object) */ __Pyx_XDECREF(__pyx_r); /* "View.MemoryView":1061 * return memoryview_fromslice(memviewslice[0], memview.view.ndim, * to_object_func, to_dtype_func, * memview.dtype_is_object) # <<<<<<<<<<<<<< * * */ __pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1059; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; goto __pyx_L0; __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_5); __Pyx_AddTraceback("View.MemoryView.memoryview_copy_from_slice", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* "View.MemoryView":1067 * * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< * if arg < 0: * return -arg */ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { Py_ssize_t __pyx_r; int __pyx_t_1; /* "View.MemoryView":1068 * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: # <<<<<<<<<<<<<< * return -arg * else: */ __pyx_t_1 = ((__pyx_v_arg < 0) != 0); if (__pyx_t_1) { /* "View.MemoryView":1069 * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: * return -arg # <<<<<<<<<<<<<< * else: * return arg */ __pyx_r = (-__pyx_v_arg); goto __pyx_L0; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1071 * return -arg * else: * return arg # <<<<<<<<<<<<<< * * @cname('__pyx_get_best_slice_order') */ __pyx_r = __pyx_v_arg; goto __pyx_L0; } __pyx_L3:; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1074 * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< * """ * Figure out the best memory access order for a given slice. */ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) { int __pyx_v_i; Py_ssize_t __pyx_v_c_stride; Py_ssize_t __pyx_v_f_stride; char __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1079 * """ * cdef int i * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< * cdef Py_ssize_t f_stride = 0 * */ __pyx_v_c_stride = 0; /* "View.MemoryView":1080 * cdef int i * cdef Py_ssize_t c_stride = 0 * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<< * * for i in range(ndim - 1, -1, -1): */ __pyx_v_f_stride = 0; /* "View.MemoryView":1082 * cdef Py_ssize_t f_stride = 0 * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] */ for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { __pyx_v_i = __pyx_t_1; /* "View.MemoryView":1083 * * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * c_stride = mslice.strides[i] * break */ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1084 * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] # <<<<<<<<<<<<<< * break * */ __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]); /* "View.MemoryView":1085 * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< * * for i in range(ndim): */ goto __pyx_L4_break; goto __pyx_L5; } __pyx_L5:; } __pyx_L4_break:; /* "View.MemoryView":1087 * break * * for i in range(ndim): # <<<<<<<<<<<<<< * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] */ __pyx_t_1 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_1; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1088 * * for i in range(ndim): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< * f_stride = mslice.strides[i] * break */ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1089 * for i in range(ndim): * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] # <<<<<<<<<<<<<< * break * */ __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]); /* "View.MemoryView":1090 * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): */ goto __pyx_L7_break; goto __pyx_L8; } __pyx_L8:; } __pyx_L7_break:; /* "View.MemoryView":1092 * break * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< * return 'C' * else: */ __pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1093 * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): * return 'C' # <<<<<<<<<<<<<< * else: * return 'F' */ __pyx_r = 'C'; goto __pyx_L0; goto __pyx_L9; } /*else*/ { /* "View.MemoryView":1095 * return 'C' * else: * return 'F' # <<<<<<<<<<<<<< * * @cython.cdivision(True) */ __pyx_r = 'F'; goto __pyx_L0; } __pyx_L9:; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1098 * * @cython.cdivision(True) * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< * char *dst_data, Py_ssize_t *dst_strides, * Py_ssize_t *src_shape, Py_ssize_t *dst_shape, */ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent; Py_ssize_t __pyx_v_dst_extent; Py_ssize_t __pyx_v_src_stride; Py_ssize_t __pyx_v_dst_stride; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; Py_ssize_t __pyx_t_5; Py_ssize_t __pyx_t_6; /* "View.MemoryView":1105 * * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] */ __pyx_v_src_extent = (__pyx_v_src_shape[0]); /* "View.MemoryView":1106 * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] */ __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); /* "View.MemoryView":1107 * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t dst_stride = dst_strides[0] * */ __pyx_v_src_stride = (__pyx_v_src_strides[0]); /* "View.MemoryView":1108 * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< * * if ndim == 1: */ __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); /* "View.MemoryView":1110 * cdef Py_ssize_t dst_stride = dst_strides[0] * * if ndim == 1: # <<<<<<<<<<<<<< * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): */ __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_1) { /* "View.MemoryView":1111 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) */ __pyx_t_1 = ((__pyx_v_src_stride > 0) != 0); if (__pyx_t_1) { __pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":1112 * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<< * memcpy(dst_data, src_data, itemsize * dst_extent) * else: */ __pyx_t_3 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize); if (__pyx_t_3) { __pyx_t_3 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride)); } __pyx_t_4 = (__pyx_t_3 != 0); } else { __pyx_t_4 = __pyx_t_2; } __pyx_t_2 = __pyx_t_4; } else { __pyx_t_2 = __pyx_t_1; } if (__pyx_t_2) { /* "View.MemoryView":1113 * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<< * else: * for i in range(dst_extent): */ memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)); goto __pyx_L4; } /*else*/ { /* "View.MemoryView":1115 * memcpy(dst_data, src_data, itemsize * dst_extent) * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< * memcpy(dst_data, src_data, itemsize) * src_data += src_stride */ __pyx_t_5 = __pyx_v_dst_extent; for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; /* "View.MemoryView":1116 * else: * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<< * src_data += src_stride * dst_data += dst_stride */ memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize); /* "View.MemoryView":1117 * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< * dst_data += dst_stride * else: */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); /* "View.MemoryView":1118 * memcpy(dst_data, src_data, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< * else: * for i in range(dst_extent): */ __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); } } __pyx_L4:; goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1120 * dst_data += dst_stride * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< * _copy_strided_to_strided(src_data, src_strides + 1, * dst_data, dst_strides + 1, */ __pyx_t_5 = __pyx_v_dst_extent; for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; /* "View.MemoryView":1124 * dst_data, dst_strides + 1, * src_shape + 1, dst_shape + 1, * ndim - 1, itemsize) # <<<<<<<<<<<<<< * src_data += src_stride * dst_data += dst_stride */ _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize); /* "View.MemoryView":1125 * src_shape + 1, dst_shape + 1, * ndim - 1, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< * dst_data += dst_stride * */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); /* "View.MemoryView":1126 * ndim - 1, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, */ __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride); } } __pyx_L3:; } /* "View.MemoryView":1128 * dst_data += dst_stride * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< * __Pyx_memviewslice *dst, * int ndim, size_t itemsize) nogil: */ static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) { /* "View.MemoryView":1132 * int ndim, size_t itemsize) nogil: * _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, * src.shape, dst.shape, ndim, itemsize) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_slice_get_size') */ _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize); } /* "View.MemoryView":1135 * * @cname('__pyx_memoryview_slice_get_size') * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< * "Return the size of the memory occupied by the slice in number of bytes" * cdef int i */ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) { int __pyx_v_i; Py_ssize_t __pyx_v_size; Py_ssize_t __pyx_r; Py_ssize_t __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1138 * "Return the size of the memory occupied by the slice in number of bytes" * cdef int i * cdef Py_ssize_t size = src.memview.view.itemsize # <<<<<<<<<<<<<< * * for i in range(ndim): */ __pyx_t_1 = __pyx_v_src->memview->view.itemsize; __pyx_v_size = __pyx_t_1; /* "View.MemoryView":1140 * cdef Py_ssize_t size = src.memview.view.itemsize * * for i in range(ndim): # <<<<<<<<<<<<<< * size *= src.shape[i] * */ __pyx_t_2 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1141 * * for i in range(ndim): * size *= src.shape[i] # <<<<<<<<<<<<<< * * return size */ __pyx_v_size = (__pyx_v_size * (__pyx_v_src->shape[__pyx_v_i])); } /* "View.MemoryView":1143 * size *= src.shape[i] * * return size # <<<<<<<<<<<<<< * * @cname('__pyx_fill_contig_strides_array') */ __pyx_r = __pyx_v_size; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1146 * * @cname('__pyx_fill_contig_strides_array') * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride, * int ndim, char order) nogil: */ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) { int __pyx_v_idx; Py_ssize_t __pyx_r; int __pyx_t_1; int __pyx_t_2; int __pyx_t_3; /* "View.MemoryView":1155 * cdef int idx * * if order == 'F': # <<<<<<<<<<<<<< * for idx in range(ndim): * strides[idx] = stride */ __pyx_t_1 = ((__pyx_v_order == 'F') != 0); if (__pyx_t_1) { /* "View.MemoryView":1156 * * if order == 'F': * for idx in range(ndim): # <<<<<<<<<<<<<< * strides[idx] = stride * stride = stride * shape[idx] */ __pyx_t_2 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_idx = __pyx_t_3; /* "View.MemoryView":1157 * if order == 'F': * for idx in range(ndim): * strides[idx] = stride # <<<<<<<<<<<<<< * stride = stride * shape[idx] * else: */ (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; /* "View.MemoryView":1158 * for idx in range(ndim): * strides[idx] = stride * stride = stride * shape[idx] # <<<<<<<<<<<<<< * else: * for idx in range(ndim - 1, -1, -1): */ __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); } goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1160 * stride = stride * shape[idx] * else: * for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * strides[idx] = stride * stride = stride * shape[idx] */ for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) { __pyx_v_idx = __pyx_t_2; /* "View.MemoryView":1161 * else: * for idx in range(ndim - 1, -1, -1): * strides[idx] = stride # <<<<<<<<<<<<<< * stride = stride * shape[idx] * */ (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; /* "View.MemoryView":1162 * for idx in range(ndim - 1, -1, -1): * strides[idx] = stride * stride = stride * shape[idx] # <<<<<<<<<<<<<< * * return stride */ __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); } } __pyx_L3:; /* "View.MemoryView":1164 * stride = stride * shape[idx] * * return stride # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_copy_data_to_temp') */ __pyx_r = __pyx_v_stride; goto __pyx_L0; __pyx_r = 0; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1167 * * @cname('__pyx_memoryview_copy_data_to_temp') * cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< * __Pyx_memviewslice *tmpslice, * char order, */ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) { int __pyx_v_i; void *__pyx_v_result; size_t __pyx_v_itemsize; size_t __pyx_v_size; void *__pyx_r; Py_ssize_t __pyx_t_1; int __pyx_t_2; int __pyx_t_3; struct __pyx_memoryview_obj *__pyx_t_4; int __pyx_t_5; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; /* "View.MemoryView":1178 * cdef void *result * * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< * cdef size_t size = slice_get_size(src, ndim) * */ __pyx_t_1 = __pyx_v_src->memview->view.itemsize; __pyx_v_itemsize = __pyx_t_1; /* "View.MemoryView":1179 * * cdef size_t itemsize = src.memview.view.itemsize * cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<< * * result = malloc(size) */ __pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim); /* "View.MemoryView":1181 * cdef size_t size = slice_get_size(src, ndim) * * result = malloc(size) # <<<<<<<<<<<<<< * if not result: * _err(MemoryError, NULL) */ __pyx_v_result = malloc(__pyx_v_size); /* "View.MemoryView":1182 * * result = malloc(size) * if not result: # <<<<<<<<<<<<<< * _err(MemoryError, NULL) * */ __pyx_t_2 = ((!(__pyx_v_result != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1183 * result = malloc(size) * if not result: * _err(MemoryError, NULL) # <<<<<<<<<<<<<< * * */ __pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1183; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":1186 * * * tmpslice.data = result # <<<<<<<<<<<<<< * tmpslice.memview = src.memview * for i in range(ndim): */ __pyx_v_tmpslice->data = ((char *)__pyx_v_result); /* "View.MemoryView":1187 * * tmpslice.data = result * tmpslice.memview = src.memview # <<<<<<<<<<<<<< * for i in range(ndim): * tmpslice.shape[i] = src.shape[i] */ __pyx_t_4 = __pyx_v_src->memview; __pyx_v_tmpslice->memview = __pyx_t_4; /* "View.MemoryView":1188 * tmpslice.data = result * tmpslice.memview = src.memview * for i in range(ndim): # <<<<<<<<<<<<<< * tmpslice.shape[i] = src.shape[i] * tmpslice.suboffsets[i] = -1 */ __pyx_t_3 = __pyx_v_ndim; for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_3; __pyx_t_5+=1) { __pyx_v_i = __pyx_t_5; /* "View.MemoryView":1189 * tmpslice.memview = src.memview * for i in range(ndim): * tmpslice.shape[i] = src.shape[i] # <<<<<<<<<<<<<< * tmpslice.suboffsets[i] = -1 * */ (__pyx_v_tmpslice->shape[__pyx_v_i]) = (__pyx_v_src->shape[__pyx_v_i]); /* "View.MemoryView":1190 * for i in range(ndim): * tmpslice.shape[i] = src.shape[i] * tmpslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< * * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, */ (__pyx_v_tmpslice->suboffsets[__pyx_v_i]) = -1; } /* "View.MemoryView":1193 * * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, * ndim, order) # <<<<<<<<<<<<<< * * */ __pyx_fill_contig_strides_array((&(__pyx_v_tmpslice->shape[0])), (&(__pyx_v_tmpslice->strides[0])), __pyx_v_itemsize, __pyx_v_ndim, __pyx_v_order); /* "View.MemoryView":1196 * * * for i in range(ndim): # <<<<<<<<<<<<<< * if tmpslice.shape[i] == 1: * tmpslice.strides[i] = 0 */ __pyx_t_3 = __pyx_v_ndim; for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_3; __pyx_t_5+=1) { __pyx_v_i = __pyx_t_5; /* "View.MemoryView":1197 * * for i in range(ndim): * if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<< * tmpslice.strides[i] = 0 * */ __pyx_t_2 = (((__pyx_v_tmpslice->shape[__pyx_v_i]) == 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1198 * for i in range(ndim): * if tmpslice.shape[i] == 1: * tmpslice.strides[i] = 0 # <<<<<<<<<<<<<< * * if slice_is_contig(src, order, ndim): */ (__pyx_v_tmpslice->strides[__pyx_v_i]) = 0; goto __pyx_L8; } __pyx_L8:; } /* "View.MemoryView":1200 * tmpslice.strides[i] = 0 * * if slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< * memcpy(result, src.data, size) * else: */ __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1201 * * if slice_is_contig(src, order, ndim): * memcpy(result, src.data, size) # <<<<<<<<<<<<<< * else: * copy_strided_to_strided(src, tmpslice, ndim, itemsize) */ memcpy(__pyx_v_result, __pyx_v_src->data, __pyx_v_size); goto __pyx_L9; } /*else*/ { /* "View.MemoryView":1203 * memcpy(result, src.data, size) * else: * copy_strided_to_strided(src, tmpslice, ndim, itemsize) # <<<<<<<<<<<<<< * * return result */ copy_strided_to_strided(__pyx_v_src, __pyx_v_tmpslice, __pyx_v_ndim, __pyx_v_itemsize); } __pyx_L9:; /* "View.MemoryView":1205 * copy_strided_to_strided(src, tmpslice, ndim, itemsize) * * return result # <<<<<<<<<<<<<< * * */ __pyx_r = __pyx_v_result; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_AddTraceback("View.MemoryView.copy_data_to_temp", __pyx_clineno, __pyx_lineno, __pyx_filename); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } __pyx_r = NULL; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1210 * * @cname('__pyx_memoryview_err_extents') * cdef int _err_extents(int i, Py_ssize_t extent1, # <<<<<<<<<<<<<< * Py_ssize_t extent2) except -1 with gil: * raise ValueError("got differing extents in dimension %d (got %d and %d)" % */ static int __pyx_memoryview_err_extents(int __pyx_v_i, Py_ssize_t __pyx_v_extent1, Py_ssize_t __pyx_v_extent2) { int __pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_RefNannySetupContext("_err_extents", 0); /* "View.MemoryView":1213 * Py_ssize_t extent2) except -1 with gil: * raise ValueError("got differing extents in dimension %d (got %d and %d)" % * (i, extent1, extent2)) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_err_dim') */ __pyx_t_1 = PyInt_FromLong(__pyx_v_i); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1213; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_extent1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1213; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyInt_FromSsize_t(__pyx_v_extent2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1213; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyTuple_New(3); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1213; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_4, 2, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_1 = 0; __pyx_t_2 = 0; __pyx_t_3 = 0; __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_kp_s_45), ((PyObject *)__pyx_t_4)); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1212; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_3)); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1212; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_4, 0, ((PyObject *)__pyx_t_3)); __Pyx_GIVEREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_builtin_ValueError, ((PyObject *)__pyx_t_4), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1212; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_4)); __pyx_t_4 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1212; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); __Pyx_AddTraceback("View.MemoryView._err_extents", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_RefNannyFinishContext(); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif return __pyx_r; } /* "View.MemoryView":1216 * * @cname('__pyx_memoryview_err_dim') * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: # <<<<<<<<<<<<<< * raise error(msg.decode('ascii') % dim) * */ static int __pyx_memoryview_err_dim(PyObject *__pyx_v_error, char *__pyx_v_msg, int __pyx_v_dim) { int __pyx_r; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_RefNannySetupContext("_err_dim", 0); __Pyx_INCREF(__pyx_v_error); /* "View.MemoryView":1217 * @cname('__pyx_memoryview_err_dim') * cdef int _err_dim(object error, char *msg, int dim) except -1 with gil: * raise error(msg.decode('ascii') % dim) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_err') */ __pyx_t_1 = ((PyObject *)__Pyx_decode_c_string(__pyx_v_msg, 0, strlen(__pyx_v_msg), NULL, NULL, PyUnicode_DecodeASCII)); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); __pyx_t_2 = PyInt_FromLong(__pyx_v_dim); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyNumber_Remainder(((PyObject *)__pyx_t_1), __pyx_t_2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = PyObject_Call(__pyx_v_error, ((PyObject *)__pyx_t_2), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1217; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView._err_dim", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_XDECREF(__pyx_v_error); __Pyx_RefNannyFinishContext(); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif return __pyx_r; } /* "View.MemoryView":1220 * * @cname('__pyx_memoryview_err') * cdef int _err(object error, char *msg) except -1 with gil: # <<<<<<<<<<<<<< * if msg != NULL: * raise error(msg.decode('ascii')) */ static int __pyx_memoryview_err(PyObject *__pyx_v_error, char *__pyx_v_msg) { int __pyx_r; __Pyx_RefNannyDeclarations int __pyx_t_1; PyObject *__pyx_t_2 = NULL; PyObject *__pyx_t_3 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_RefNannySetupContext("_err", 0); __Pyx_INCREF(__pyx_v_error); /* "View.MemoryView":1221 * @cname('__pyx_memoryview_err') * cdef int _err(object error, char *msg) except -1 with gil: * if msg != NULL: # <<<<<<<<<<<<<< * raise error(msg.decode('ascii')) * else: */ __pyx_t_1 = ((__pyx_v_msg != NULL) != 0); if (__pyx_t_1) { /* "View.MemoryView":1222 * cdef int _err(object error, char *msg) except -1 with gil: * if msg != NULL: * raise error(msg.decode('ascii')) # <<<<<<<<<<<<<< * else: * raise error */ __pyx_t_2 = ((PyObject *)__Pyx_decode_c_string(__pyx_v_msg, 0, strlen(__pyx_v_msg), NULL, NULL, PyUnicode_DecodeASCII)); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1222; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_2)); __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1222; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_t_2)); __Pyx_GIVEREF(((PyObject *)__pyx_t_2)); __pyx_t_2 = 0; __pyx_t_2 = PyObject_Call(__pyx_v_error, ((PyObject *)__pyx_t_3), NULL); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1222; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(((PyObject *)__pyx_t_3)); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_2, 0, 0, 0); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1222; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1224 * raise error(msg.decode('ascii')) * else: * raise error # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_copy_contents') */ __Pyx_Raise(__pyx_v_error, 0, 0, 0); {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1224; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L3:; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_2); __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("View.MemoryView._err", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; __pyx_L0:; __Pyx_XDECREF(__pyx_v_error); __Pyx_RefNannyFinishContext(); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif return __pyx_r; } /* "View.MemoryView":1227 * * @cname('__pyx_memoryview_copy_contents') * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< * __Pyx_memviewslice dst, * int src_ndim, int dst_ndim, */ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_memviewslice __pyx_v_dst, int __pyx_v_src_ndim, int __pyx_v_dst_ndim, int __pyx_v_dtype_is_object) { void *__pyx_v_tmpdata; size_t __pyx_v_itemsize; int __pyx_v_i; char __pyx_v_order; int __pyx_v_broadcasting; int __pyx_v_direct_copy; __Pyx_memviewslice __pyx_v_tmp; int __pyx_v_ndim; int __pyx_r; Py_ssize_t __pyx_t_1; int __pyx_t_2; int __pyx_t_3; int __pyx_t_4; int __pyx_t_5; void *__pyx_t_6; int __pyx_t_7; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; /* "View.MemoryView":1235 * Check for overlapping memory and verify the shapes. * """ * cdef void *tmpdata = NULL # <<<<<<<<<<<<<< * cdef size_t itemsize = src.memview.view.itemsize * cdef int i */ __pyx_v_tmpdata = NULL; /* "View.MemoryView":1236 * """ * cdef void *tmpdata = NULL * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< * cdef int i * cdef char order = get_best_order(&src, src_ndim) */ __pyx_t_1 = __pyx_v_src.memview->view.itemsize; __pyx_v_itemsize = __pyx_t_1; /* "View.MemoryView":1238 * cdef size_t itemsize = src.memview.view.itemsize * cdef int i * cdef char order = get_best_order(&src, src_ndim) # <<<<<<<<<<<<<< * cdef bint broadcasting = False * cdef bint direct_copy = False */ __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_src), __pyx_v_src_ndim); /* "View.MemoryView":1239 * cdef int i * cdef char order = get_best_order(&src, src_ndim) * cdef bint broadcasting = False # <<<<<<<<<<<<<< * cdef bint direct_copy = False * cdef __Pyx_memviewslice tmp */ __pyx_v_broadcasting = 0; /* "View.MemoryView":1240 * cdef char order = get_best_order(&src, src_ndim) * cdef bint broadcasting = False * cdef bint direct_copy = False # <<<<<<<<<<<<<< * cdef __Pyx_memviewslice tmp * */ __pyx_v_direct_copy = 0; /* "View.MemoryView":1243 * cdef __Pyx_memviewslice tmp * * if src_ndim < dst_ndim: # <<<<<<<<<<<<<< * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: */ __pyx_t_2 = ((__pyx_v_src_ndim < __pyx_v_dst_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1244 * * if src_ndim < dst_ndim: * broadcast_leading(&src, src_ndim, dst_ndim) # <<<<<<<<<<<<<< * elif dst_ndim < src_ndim: * broadcast_leading(&dst, dst_ndim, src_ndim) */ __pyx_memoryview_broadcast_leading((&__pyx_v_src), __pyx_v_src_ndim, __pyx_v_dst_ndim); goto __pyx_L3; } /* "View.MemoryView":1245 * if src_ndim < dst_ndim: * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: # <<<<<<<<<<<<<< * broadcast_leading(&dst, dst_ndim, src_ndim) * */ __pyx_t_2 = ((__pyx_v_dst_ndim < __pyx_v_src_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1246 * broadcast_leading(&src, src_ndim, dst_ndim) * elif dst_ndim < src_ndim: * broadcast_leading(&dst, dst_ndim, src_ndim) # <<<<<<<<<<<<<< * * cdef int ndim = max(src_ndim, dst_ndim) */ __pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim); goto __pyx_L3; } __pyx_L3:; /* "View.MemoryView":1248 * broadcast_leading(&dst, dst_ndim, src_ndim) * * cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<< * * for i in range(ndim): */ __pyx_t_3 = __pyx_v_dst_ndim; __pyx_t_4 = __pyx_v_src_ndim; if (((__pyx_t_3 > __pyx_t_4) != 0)) { __pyx_t_5 = __pyx_t_3; } else { __pyx_t_5 = __pyx_t_4; } __pyx_v_ndim = __pyx_t_5; /* "View.MemoryView":1250 * cdef int ndim = max(src_ndim, dst_ndim) * * for i in range(ndim): # <<<<<<<<<<<<<< * if src.shape[i] != dst.shape[i]: * if src.shape[i] == 1: */ __pyx_t_5 = __pyx_v_ndim; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_5; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1251 * * for i in range(ndim): * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< * if src.shape[i] == 1: * broadcasting = True */ __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])) != 0); if (__pyx_t_2) { /* "View.MemoryView":1252 * for i in range(ndim): * if src.shape[i] != dst.shape[i]: * if src.shape[i] == 1: # <<<<<<<<<<<<<< * broadcasting = True * src.strides[i] = 0 */ __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0); if (__pyx_t_2) { /* "View.MemoryView":1253 * if src.shape[i] != dst.shape[i]: * if src.shape[i] == 1: * broadcasting = True # <<<<<<<<<<<<<< * src.strides[i] = 0 * else: */ __pyx_v_broadcasting = 1; /* "View.MemoryView":1254 * if src.shape[i] == 1: * broadcasting = True * src.strides[i] = 0 # <<<<<<<<<<<<<< * else: * _err_extents(i, dst.shape[i], src.shape[i]) */ (__pyx_v_src.strides[__pyx_v_i]) = 0; goto __pyx_L7; } /*else*/ { /* "View.MemoryView":1256 * src.strides[i] = 0 * else: * _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<< * * if src.suboffsets[i] >= 0: */ __pyx_t_4 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1256; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } __pyx_L7:; goto __pyx_L6; } __pyx_L6:; /* "View.MemoryView":1258 * _err_extents(i, dst.shape[i], src.shape[i]) * * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< * _err_dim(ValueError, "Dimension %d is not direct", i) * */ __pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0); if (__pyx_t_2) { /* "View.MemoryView":1259 * * if src.suboffsets[i] >= 0: * _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<< * * if slices_overlap(&src, &dst, ndim, itemsize): */ __pyx_t_4 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, __pyx_k_46, __pyx_v_i); if (unlikely(__pyx_t_4 == -1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1259; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L8; } __pyx_L8:; } /* "View.MemoryView":1261 * _err_dim(ValueError, "Dimension %d is not direct", i) * * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< * * if not slice_is_contig(&src, order, ndim): */ __pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0); if (__pyx_t_2) { /* "View.MemoryView":1263 * if slices_overlap(&src, &dst, ndim, itemsize): * * if not slice_is_contig(&src, order, ndim): # <<<<<<<<<<<<<< * order = get_best_order(&dst, ndim) * */ __pyx_t_2 = ((!(__pyx_memviewslice_is_contig((&__pyx_v_src), __pyx_v_order, __pyx_v_ndim) != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1264 * * if not slice_is_contig(&src, order, ndim): * order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<< * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) */ __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim); goto __pyx_L10; } __pyx_L10:; /* "View.MemoryView":1266 * order = get_best_order(&dst, ndim) * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<< * src = tmp * */ __pyx_t_6 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_6 == NULL)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1266; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_v_tmpdata = __pyx_t_6; /* "View.MemoryView":1267 * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) * src = tmp # <<<<<<<<<<<<<< * * if not broadcasting: */ __pyx_v_src = __pyx_v_tmp; goto __pyx_L9; } __pyx_L9:; /* "View.MemoryView":1269 * src = tmp * * if not broadcasting: # <<<<<<<<<<<<<< * * */ __pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0); if (__pyx_t_2) { /* "View.MemoryView":1272 * * * if slice_is_contig(&src, 'C', ndim): # <<<<<<<<<<<<<< * direct_copy = slice_is_contig(&dst, 'C', ndim) * elif slice_is_contig(&src, 'F', ndim): */ __pyx_t_2 = (__pyx_memviewslice_is_contig((&__pyx_v_src), 'C', __pyx_v_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1273 * * if slice_is_contig(&src, 'C', ndim): * direct_copy = slice_is_contig(&dst, 'C', ndim) # <<<<<<<<<<<<<< * elif slice_is_contig(&src, 'F', ndim): * direct_copy = slice_is_contig(&dst, 'F', ndim) */ __pyx_v_direct_copy = __pyx_memviewslice_is_contig((&__pyx_v_dst), 'C', __pyx_v_ndim); goto __pyx_L12; } /* "View.MemoryView":1274 * if slice_is_contig(&src, 'C', ndim): * direct_copy = slice_is_contig(&dst, 'C', ndim) * elif slice_is_contig(&src, 'F', ndim): # <<<<<<<<<<<<<< * direct_copy = slice_is_contig(&dst, 'F', ndim) * */ __pyx_t_2 = (__pyx_memviewslice_is_contig((&__pyx_v_src), 'F', __pyx_v_ndim) != 0); if (__pyx_t_2) { /* "View.MemoryView":1275 * direct_copy = slice_is_contig(&dst, 'C', ndim) * elif slice_is_contig(&src, 'F', ndim): * direct_copy = slice_is_contig(&dst, 'F', ndim) # <<<<<<<<<<<<<< * * if direct_copy: */ __pyx_v_direct_copy = __pyx_memviewslice_is_contig((&__pyx_v_dst), 'F', __pyx_v_ndim); goto __pyx_L12; } __pyx_L12:; /* "View.MemoryView":1277 * direct_copy = slice_is_contig(&dst, 'F', ndim) * * if direct_copy: # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ __pyx_t_2 = (__pyx_v_direct_copy != 0); if (__pyx_t_2) { /* "View.MemoryView":1279 * if direct_copy: * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1280 * * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<< * refcount_copying(&dst, dtype_is_object, ndim, True) * return 0 */ memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim)); /* "View.MemoryView":1281 * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * return 0 * */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1282 * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) * return 0 # <<<<<<<<<<<<<< * * if order == 'F' == get_best_order(&dst, ndim): */ __pyx_r = 0; goto __pyx_L0; goto __pyx_L13; } __pyx_L13:; goto __pyx_L11; } __pyx_L11:; /* "View.MemoryView":1284 * return 0 * * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< * * */ __pyx_t_2 = (__pyx_v_order == 'F'); if (__pyx_t_2) { __pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim)); } __pyx_t_7 = (__pyx_t_2 != 0); if (__pyx_t_7) { /* "View.MemoryView":1287 * * * transpose_memslice(&src) # <<<<<<<<<<<<<< * transpose_memslice(&dst) * */ __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1287; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":1288 * * transpose_memslice(&src) * transpose_memslice(&dst) # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == 0)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 1288; __pyx_clineno = __LINE__; goto __pyx_L1_error;} goto __pyx_L14; } __pyx_L14:; /* "View.MemoryView":1290 * transpose_memslice(&dst) * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1291 * * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< * refcount_copying(&dst, dtype_is_object, ndim, True) * */ copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); /* "View.MemoryView":1292 * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * * free(tmpdata) */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); /* "View.MemoryView":1294 * refcount_copying(&dst, dtype_is_object, ndim, True) * * free(tmpdata) # <<<<<<<<<<<<<< * return 0 * */ free(__pyx_v_tmpdata); /* "View.MemoryView":1295 * * free(tmpdata) * return 0 # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_broadcast_leading') */ __pyx_r = 0; goto __pyx_L0; __pyx_r = 0; goto __pyx_L0; __pyx_L1_error:; { #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } __pyx_r = -1; __pyx_L0:; return __pyx_r; } /* "View.MemoryView":1298 * * @cname('__pyx_memoryview_broadcast_leading') * cdef void broadcast_leading(__Pyx_memviewslice *slice, # <<<<<<<<<<<<<< * int ndim, * int ndim_other) nogil: */ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_slice, int __pyx_v_ndim, int __pyx_v_ndim_other) { int __pyx_v_i; int __pyx_v_offset; int __pyx_t_1; int __pyx_t_2; /* "View.MemoryView":1302 * int ndim_other) nogil: * cdef int i * cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<< * * for i in range(ndim - 1, -1, -1): */ __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim); /* "View.MemoryView":1304 * cdef int offset = ndim_other - ndim * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< * slice.shape[i + offset] = slice.shape[i] * slice.strides[i + offset] = slice.strides[i] */ for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { __pyx_v_i = __pyx_t_1; /* "View.MemoryView":1305 * * for i in range(ndim - 1, -1, -1): * slice.shape[i + offset] = slice.shape[i] # <<<<<<<<<<<<<< * slice.strides[i + offset] = slice.strides[i] * slice.suboffsets[i + offset] = slice.suboffsets[i] */ (__pyx_v_slice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_slice->shape[__pyx_v_i]); /* "View.MemoryView":1306 * for i in range(ndim - 1, -1, -1): * slice.shape[i + offset] = slice.shape[i] * slice.strides[i + offset] = slice.strides[i] # <<<<<<<<<<<<<< * slice.suboffsets[i + offset] = slice.suboffsets[i] * */ (__pyx_v_slice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_slice->strides[__pyx_v_i]); /* "View.MemoryView":1307 * slice.shape[i + offset] = slice.shape[i] * slice.strides[i + offset] = slice.strides[i] * slice.suboffsets[i + offset] = slice.suboffsets[i] # <<<<<<<<<<<<<< * * for i in range(offset): */ (__pyx_v_slice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_slice->suboffsets[__pyx_v_i]); } /* "View.MemoryView":1309 * slice.suboffsets[i + offset] = slice.suboffsets[i] * * for i in range(offset): # <<<<<<<<<<<<<< * slice.shape[i] = 1 * slice.strides[i] = slice.strides[0] */ __pyx_t_1 = __pyx_v_offset; for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) { __pyx_v_i = __pyx_t_2; /* "View.MemoryView":1310 * * for i in range(offset): * slice.shape[i] = 1 # <<<<<<<<<<<<<< * slice.strides[i] = slice.strides[0] * slice.suboffsets[i] = -1 */ (__pyx_v_slice->shape[__pyx_v_i]) = 1; /* "View.MemoryView":1311 * for i in range(offset): * slice.shape[i] = 1 * slice.strides[i] = slice.strides[0] # <<<<<<<<<<<<<< * slice.suboffsets[i] = -1 * */ (__pyx_v_slice->strides[__pyx_v_i]) = (__pyx_v_slice->strides[0]); /* "View.MemoryView":1312 * slice.shape[i] = 1 * slice.strides[i] = slice.strides[0] * slice.suboffsets[i] = -1 # <<<<<<<<<<<<<< * * */ (__pyx_v_slice->suboffsets[__pyx_v_i]) = -1; } } /* "View.MemoryView":1320 * * @cname('__pyx_memoryview_refcount_copying') * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< * int ndim, bint inc) nogil: * */ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) { int __pyx_t_1; /* "View.MemoryView":1324 * * * if dtype_is_object: # <<<<<<<<<<<<<< * refcount_objects_in_slice_with_gil(dst.data, dst.shape, * dst.strides, ndim, inc) */ __pyx_t_1 = (__pyx_v_dtype_is_object != 0); if (__pyx_t_1) { /* "View.MemoryView":1326 * if dtype_is_object: * refcount_objects_in_slice_with_gil(dst.data, dst.shape, * dst.strides, ndim, inc) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') */ __pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc); goto __pyx_L3; } __pyx_L3:; } /* "View.MemoryView":1329 * * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, * bint inc) with gil: */ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { __Pyx_RefNannyDeclarations #ifdef WITH_THREAD PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure(); #endif __Pyx_RefNannySetupContext("refcount_objects_in_slice_with_gil", 0); /* "View.MemoryView":1332 * Py_ssize_t *strides, int ndim, * bint inc) with gil: * refcount_objects_in_slice(data, shape, strides, ndim, inc) # <<<<<<<<<<<<<< * * @cname('__pyx_memoryview_refcount_objects_in_slice') */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc); __Pyx_RefNannyFinishContext(); #ifdef WITH_THREAD PyGILState_Release(__pyx_gilstate_save); #endif } /* "View.MemoryView":1335 * * @cname('__pyx_memoryview_refcount_objects_in_slice') * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, bint inc): * cdef Py_ssize_t i */ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; __Pyx_RefNannyDeclarations Py_ssize_t __pyx_t_1; Py_ssize_t __pyx_t_2; int __pyx_t_3; __Pyx_RefNannySetupContext("refcount_objects_in_slice", 0); /* "View.MemoryView":1339 * cdef Py_ssize_t i * * for i in range(shape[0]): # <<<<<<<<<<<<<< * if ndim == 1: * if inc: */ __pyx_t_1 = (__pyx_v_shape[0]); for (__pyx_t_2 = 0; __pyx_t_2 < __pyx_t_1; __pyx_t_2+=1) { __pyx_v_i = __pyx_t_2; /* "View.MemoryView":1340 * * for i in range(shape[0]): * if ndim == 1: # <<<<<<<<<<<<<< * if inc: * Py_INCREF(( data)[0]) */ __pyx_t_3 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_3) { /* "View.MemoryView":1341 * for i in range(shape[0]): * if ndim == 1: * if inc: # <<<<<<<<<<<<<< * Py_INCREF(( data)[0]) * else: */ __pyx_t_3 = (__pyx_v_inc != 0); if (__pyx_t_3) { /* "View.MemoryView":1342 * if ndim == 1: * if inc: * Py_INCREF(( data)[0]) # <<<<<<<<<<<<<< * else: * Py_DECREF(( data)[0]) */ Py_INCREF((((PyObject **)__pyx_v_data)[0])); goto __pyx_L6; } /*else*/ { /* "View.MemoryView":1344 * Py_INCREF(( data)[0]) * else: * Py_DECREF(( data)[0]) # <<<<<<<<<<<<<< * else: * refcount_objects_in_slice(data, shape + 1, strides + 1, */ Py_DECREF((((PyObject **)__pyx_v_data)[0])); } __pyx_L6:; goto __pyx_L5; } /*else*/ { /* "View.MemoryView":1347 * else: * refcount_objects_in_slice(data, shape + 1, strides + 1, * ndim - 1, inc) # <<<<<<<<<<<<<< * * data += strides[0] */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_inc); } __pyx_L5:; /* "View.MemoryView":1349 * ndim - 1, inc) * * data += strides[0] # <<<<<<<<<<<<<< * * */ __pyx_v_data = (__pyx_v_data + (__pyx_v_strides[0])); } __Pyx_RefNannyFinishContext(); } /* "View.MemoryView":1355 * * @cname('__pyx_memoryview_slice_assign_scalar') * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # <<<<<<<<<<<<<< * size_t itemsize, void *item, * bint dtype_is_object) nogil: */ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item, int __pyx_v_dtype_is_object) { /* "View.MemoryView":1358 * size_t itemsize, void *item, * bint dtype_is_object) nogil: * refcount_copying(dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, * itemsize, item) */ __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 0); /* "View.MemoryView":1360 * refcount_copying(dst, dtype_is_object, ndim, False) * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, * itemsize, item) # <<<<<<<<<<<<<< * refcount_copying(dst, dtype_is_object, ndim, True) * */ __pyx_memoryview__slice_assign_scalar(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_itemsize, __pyx_v_item); /* "View.MemoryView":1361 * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, * itemsize, item) * refcount_copying(dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< * * */ __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 1); } /* "View.MemoryView":1365 * * @cname('__pyx_memoryview__slice_assign_scalar') * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, * size_t itemsize, void *item) nogil: */ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item) { CYTHON_UNUSED Py_ssize_t __pyx_v_i; Py_ssize_t __pyx_v_stride; Py_ssize_t __pyx_v_extent; int __pyx_t_1; Py_ssize_t __pyx_t_2; Py_ssize_t __pyx_t_3; /* "View.MemoryView":1369 * size_t itemsize, void *item) nogil: * cdef Py_ssize_t i * cdef Py_ssize_t stride = strides[0] # <<<<<<<<<<<<<< * cdef Py_ssize_t extent = shape[0] * */ __pyx_v_stride = (__pyx_v_strides[0]); /* "View.MemoryView":1370 * cdef Py_ssize_t i * cdef Py_ssize_t stride = strides[0] * cdef Py_ssize_t extent = shape[0] # <<<<<<<<<<<<<< * * if ndim == 1: */ __pyx_v_extent = (__pyx_v_shape[0]); /* "View.MemoryView":1372 * cdef Py_ssize_t extent = shape[0] * * if ndim == 1: # <<<<<<<<<<<<<< * for i in range(extent): * memcpy(data, item, itemsize) */ __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_1) { /* "View.MemoryView":1373 * * if ndim == 1: * for i in range(extent): # <<<<<<<<<<<<<< * memcpy(data, item, itemsize) * data += stride */ __pyx_t_2 = __pyx_v_extent; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1374 * if ndim == 1: * for i in range(extent): * memcpy(data, item, itemsize) # <<<<<<<<<<<<<< * data += stride * else: */ memcpy(__pyx_v_data, __pyx_v_item, __pyx_v_itemsize); /* "View.MemoryView":1375 * for i in range(extent): * memcpy(data, item, itemsize) * data += stride # <<<<<<<<<<<<<< * else: * for i in range(extent): */ __pyx_v_data = (__pyx_v_data + __pyx_v_stride); } goto __pyx_L3; } /*else*/ { /* "View.MemoryView":1377 * data += stride * else: * for i in range(extent): # <<<<<<<<<<<<<< * _slice_assign_scalar(data, shape + 1, strides + 1, * ndim - 1, itemsize, item) */ __pyx_t_2 = __pyx_v_extent; for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; /* "View.MemoryView":1379 * for i in range(extent): * _slice_assign_scalar(data, shape + 1, strides + 1, * ndim - 1, itemsize, item) # <<<<<<<<<<<<<< * data += stride * */ __pyx_memoryview__slice_assign_scalar(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize, __pyx_v_item); /* "View.MemoryView":1380 * _slice_assign_scalar(data, shape + 1, strides + 1, * ndim - 1, itemsize, item) * data += stride # <<<<<<<<<<<<<< * * */ __pyx_v_data = (__pyx_v_data + __pyx_v_stride); } } __pyx_L3:; } static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview; static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_memoryview_obj *p; PyObject *o; o = (*t->tp_alloc)(t, 0); if (unlikely(!o)) return 0; p = ((struct __pyx_memoryview_obj *)o); p->__pyx_vtab = __pyx_vtabptr_memoryview; p->obj = Py_None; Py_INCREF(Py_None); p->_size = Py_None; Py_INCREF(Py_None); p->_array_interface = Py_None; Py_INCREF(Py_None); p->view.obj = NULL; if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) { Py_DECREF(o); o = 0; } return o; } static void __pyx_tp_dealloc_memoryview(PyObject *o) { struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; PyObject_GC_UnTrack(o); { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_memoryview___dealloc__(o); if (PyErr_Occurred()) PyErr_WriteUnraisable(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->obj); Py_CLEAR(p->_size); Py_CLEAR(p->_array_interface); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) { int e; struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; if (p->obj) { e = (*v)(p->obj, a); if (e) return e; } if (p->_size) { e = (*v)(p->_size, a); if (e) return e; } if (p->_array_interface) { e = (*v)(p->_array_interface, a); if (e) return e; } if (p->view.obj) { e = (*v)(p->view.obj, a); if (e) return e; } return 0; } static int __pyx_tp_clear_memoryview(PyObject *o) { struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o; PyObject* tmp; tmp = ((PyObject*)p->obj); p->obj = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->_size); p->_size = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->_array_interface); p->_array_interface = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); Py_CLEAR(p->view.obj); return 0; } static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) { PyObject *r; PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); Py_DECREF(x); return r; } static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) { if (v) { return __pyx_memoryview___setitem__(o, i, v); } else { PyErr_Format(PyExc_NotImplementedError, "Subscript deletion not supported by %s", Py_TYPE(o)->tp_name); return -1; } } static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_transpose(o); } static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview__get__base(o); } static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_shape(o); } static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_strides(o); } static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_suboffsets(o); } static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_ndim(o); } static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_itemsize(o); } static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_nbytes(o); } static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryview_get_size(o); } static PyMethodDef __pyx_methods_memoryview[] = { {__Pyx_NAMESTR("is_c_contig"), (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, __Pyx_DOCSTR(0)}, {__Pyx_NAMESTR("is_f_contig"), (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, __Pyx_DOCSTR(0)}, {__Pyx_NAMESTR("copy"), (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, __Pyx_DOCSTR(0)}, {__Pyx_NAMESTR("copy_fortran"), (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, __Pyx_DOCSTR(0)}, {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets_memoryview[] = { {(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, 0, 0}, {(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, 0, 0}, {(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, 0, 0}, {(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, 0, 0}, {(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, 0, 0}, {(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, 0, 0}, {(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, 0, 0}, {(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, 0, 0}, {(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, 0, 0}, {0, 0, 0, 0, 0} }; static PySequenceMethods __pyx_tp_as_sequence_memoryview = { __pyx_memoryview___len__, /*sq_length*/ 0, /*sq_concat*/ 0, /*sq_repeat*/ __pyx_sq_item_memoryview, /*sq_item*/ 0, /*sq_slice*/ 0, /*sq_ass_item*/ 0, /*sq_ass_slice*/ 0, /*sq_contains*/ 0, /*sq_inplace_concat*/ 0, /*sq_inplace_repeat*/ }; static PyMappingMethods __pyx_tp_as_mapping_memoryview = { __pyx_memoryview___len__, /*mp_length*/ __pyx_memoryview___getitem__, /*mp_subscript*/ __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/ }; static PyBufferProcs __pyx_tp_as_buffer_memoryview = { #if PY_MAJOR_VERSION < 3 0, /*bf_getreadbuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getwritebuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getsegcount*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getcharbuffer*/ #endif #if PY_VERSION_HEX >= 0x02060000 __pyx_memoryview_getbuffer, /*bf_getbuffer*/ #endif #if PY_VERSION_HEX >= 0x02060000 0, /*bf_releasebuffer*/ #endif }; static PyTypeObject __pyx_type___pyx_memoryview = { PyVarObject_HEAD_INIT(0, 0) __Pyx_NAMESTR("_qhull64.memoryview"), /*tp_name*/ sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_memoryview, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #else 0, /*reserved*/ #endif __pyx_memoryview___repr__, /*tp_repr*/ 0, /*tp_as_number*/ &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/ &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ __pyx_memoryview___str__, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ 0, /*tp_doc*/ __pyx_tp_traverse_memoryview, /*tp_traverse*/ __pyx_tp_clear_memoryview, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_memoryview, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets_memoryview, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_memoryview, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ #if PY_VERSION_HEX >= 0x02060000 0, /*tp_version_tag*/ #endif }; static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_array_obj *p; PyObject *o; o = (*t->tp_alloc)(t, 0); if (unlikely(!o)) return 0; p = ((struct __pyx_array_obj *)o); p->mode = ((PyObject*)Py_None); Py_INCREF(Py_None); p->_format = ((PyObject*)Py_None); Py_INCREF(Py_None); if (unlikely(__pyx_array___cinit__(o, a, k) < 0)) { Py_DECREF(o); o = 0; } return o; } static void __pyx_tp_dealloc_array(PyObject *o) { struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; PyObject_GC_UnTrack(o); { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_array___dealloc__(o); if (PyErr_Occurred()) PyErr_WriteUnraisable(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->mode); Py_CLEAR(p->_format); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_array(PyObject *o, visitproc v, void *a) { int e; struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; if (p->mode) { e = (*v)(p->mode, a); if (e) return e; } if (p->_format) { e = (*v)(p->_format, a); if (e) return e; } return 0; } static int __pyx_tp_clear_array(PyObject *o) { struct __pyx_array_obj *p = (struct __pyx_array_obj *)o; PyObject* tmp; tmp = ((PyObject*)p->mode); p->mode = ((PyObject*)Py_None); Py_INCREF(Py_None); Py_XDECREF(tmp); tmp = ((PyObject*)p->_format); p->_format = ((PyObject*)Py_None); Py_INCREF(Py_None); Py_XDECREF(tmp); return 0; } static PyObject *__pyx_sq_item_array(PyObject *o, Py_ssize_t i) { PyObject *r; PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0; r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x); Py_DECREF(x); return r; } static int __pyx_mp_ass_subscript_array(PyObject *o, PyObject *i, PyObject *v) { if (v) { return __pyx_array___setitem__(o, i, v); } else { PyErr_Format(PyExc_NotImplementedError, "Subscript deletion not supported by %s", Py_TYPE(o)->tp_name); return -1; } } static PyObject *__pyx_tp_getattro_array(PyObject *o, PyObject *n) { PyObject *v = PyObject_GenericGetAttr(o, n); if (!v && PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); v = __pyx_array___getattr__(o, n); } return v; } static PyObject *__pyx_getprop___pyx_array_memview(PyObject *o, CYTHON_UNUSED void *x) { return get_memview(o); } static PyMethodDef __pyx_methods_array[] = { {__Pyx_NAMESTR("__getattr__"), (PyCFunction)__pyx_array___getattr__, METH_O|METH_COEXIST, __Pyx_DOCSTR(0)}, {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets_array[] = { {(char *)"memview", __pyx_getprop___pyx_array_memview, 0, 0, 0}, {0, 0, 0, 0, 0} }; static PySequenceMethods __pyx_tp_as_sequence_array = { 0, /*sq_length*/ 0, /*sq_concat*/ 0, /*sq_repeat*/ __pyx_sq_item_array, /*sq_item*/ 0, /*sq_slice*/ 0, /*sq_ass_item*/ 0, /*sq_ass_slice*/ 0, /*sq_contains*/ 0, /*sq_inplace_concat*/ 0, /*sq_inplace_repeat*/ }; static PyMappingMethods __pyx_tp_as_mapping_array = { 0, /*mp_length*/ __pyx_array___getitem__, /*mp_subscript*/ __pyx_mp_ass_subscript_array, /*mp_ass_subscript*/ }; static PyBufferProcs __pyx_tp_as_buffer_array = { #if PY_MAJOR_VERSION < 3 0, /*bf_getreadbuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getwritebuffer*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getsegcount*/ #endif #if PY_MAJOR_VERSION < 3 0, /*bf_getcharbuffer*/ #endif #if PY_VERSION_HEX >= 0x02060000 __pyx_array_getbuffer, /*bf_getbuffer*/ #endif #if PY_VERSION_HEX >= 0x02060000 0, /*bf_releasebuffer*/ #endif }; static PyTypeObject __pyx_type___pyx_array = { PyVarObject_HEAD_INIT(0, 0) __Pyx_NAMESTR("_qhull64.array"), /*tp_name*/ sizeof(struct __pyx_array_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_array, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #else 0, /*reserved*/ #endif 0, /*tp_repr*/ 0, /*tp_as_number*/ &__pyx_tp_as_sequence_array, /*tp_as_sequence*/ &__pyx_tp_as_mapping_array, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ 0, /*tp_str*/ __pyx_tp_getattro_array, /*tp_getattro*/ 0, /*tp_setattro*/ &__pyx_tp_as_buffer_array, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ 0, /*tp_doc*/ __pyx_tp_traverse_array, /*tp_traverse*/ __pyx_tp_clear_array, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_array, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets_array, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_array, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ #if PY_VERSION_HEX >= 0x02060000 0, /*tp_version_tag*/ #endif }; static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) { struct __pyx_MemviewEnum_obj *p; PyObject *o; o = (*t->tp_alloc)(t, 0); if (unlikely(!o)) return 0; p = ((struct __pyx_MemviewEnum_obj *)o); p->name = Py_None; Py_INCREF(Py_None); return o; } static void __pyx_tp_dealloc_Enum(PyObject *o) { struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; PyObject_GC_UnTrack(o); Py_CLEAR(p->name); (*Py_TYPE(o)->tp_free)(o); } static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) { int e; struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; if (p->name) { e = (*v)(p->name, a); if (e) return e; } return 0; } static int __pyx_tp_clear_Enum(PyObject *o) { struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o; PyObject* tmp; tmp = ((PyObject*)p->name); p->name = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); return 0; } static PyMethodDef __pyx_methods_Enum[] = { {0, 0, 0, 0} }; static PyTypeObject __pyx_type___pyx_MemviewEnum = { PyVarObject_HEAD_INIT(0, 0) __Pyx_NAMESTR("_qhull64.Enum"), /*tp_name*/ sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc_Enum, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #else 0, /*reserved*/ #endif __pyx_MemviewEnum___repr__, /*tp_repr*/ 0, /*tp_as_number*/ 0, /*tp_as_sequence*/ 0, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ 0, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ 0, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ 0, /*tp_doc*/ __pyx_tp_traverse_Enum, /*tp_traverse*/ __pyx_tp_clear_Enum, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods_Enum, /*tp_methods*/ 0, /*tp_members*/ 0, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ __pyx_MemviewEnum___init__, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new_Enum, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ #if PY_VERSION_HEX >= 0x02060000 0, /*tp_version_tag*/ #endif }; static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice; static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) { struct __pyx_memoryviewslice_obj *p; PyObject *o = __pyx_tp_new_memoryview(t, a, k); if (unlikely(!o)) return 0; p = ((struct __pyx_memoryviewslice_obj *)o); p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice; p->from_object = Py_None; Py_INCREF(Py_None); p->from_slice.memview = NULL; return o; } static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) { struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; PyObject_GC_UnTrack(o); { PyObject *etype, *eval, *etb; PyErr_Fetch(&etype, &eval, &etb); ++Py_REFCNT(o); __pyx_memoryviewslice___dealloc__(o); if (PyErr_Occurred()) PyErr_WriteUnraisable(o); --Py_REFCNT(o); PyErr_Restore(etype, eval, etb); } Py_CLEAR(p->from_object); PyObject_GC_Track(o); __pyx_tp_dealloc_memoryview(o); } static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) { int e; struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e; if (p->from_object) { e = (*v)(p->from_object, a); if (e) return e; } return 0; } static int __pyx_tp_clear__memoryviewslice(PyObject *o) { struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o; PyObject* tmp; __pyx_tp_clear_memoryview(o); tmp = ((PyObject*)p->from_object); p->from_object = Py_None; Py_INCREF(Py_None); Py_XDECREF(tmp); __PYX_XDEC_MEMVIEW(&p->from_slice, 1); return 0; } static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) { return __pyx_memoryviewslice__get__base(o); } static PyMethodDef __pyx_methods__memoryviewslice[] = { {0, 0, 0, 0} }; static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = { {(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, 0, 0}, {0, 0, 0, 0, 0} }; static PyTypeObject __pyx_type___pyx_memoryviewslice = { PyVarObject_HEAD_INIT(0, 0) __Pyx_NAMESTR("_qhull64._memoryviewslice"), /*tp_name*/ sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/ 0, /*tp_itemsize*/ __pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ #if PY_MAJOR_VERSION < 3 0, /*tp_compare*/ #else 0, /*reserved*/ #endif #if CYTHON_COMPILING_IN_PYPY __pyx_memoryview___repr__, /*tp_repr*/ #else 0, /*tp_repr*/ #endif 0, /*tp_as_number*/ 0, /*tp_as_sequence*/ 0, /*tp_as_mapping*/ 0, /*tp_hash*/ 0, /*tp_call*/ #if CYTHON_COMPILING_IN_PYPY __pyx_memoryview___str__, /*tp_str*/ #else 0, /*tp_str*/ #endif 0, /*tp_getattro*/ 0, /*tp_setattro*/ 0, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/ __Pyx_DOCSTR("Internal class for passing memoryview slices to Python"), /*tp_doc*/ __pyx_tp_traverse__memoryviewslice, /*tp_traverse*/ __pyx_tp_clear__memoryviewslice, /*tp_clear*/ 0, /*tp_richcompare*/ 0, /*tp_weaklistoffset*/ 0, /*tp_iter*/ 0, /*tp_iternext*/ __pyx_methods__memoryviewslice, /*tp_methods*/ 0, /*tp_members*/ __pyx_getsets__memoryviewslice, /*tp_getset*/ 0, /*tp_base*/ 0, /*tp_dict*/ 0, /*tp_descr_get*/ 0, /*tp_descr_set*/ 0, /*tp_dictoffset*/ 0, /*tp_init*/ 0, /*tp_alloc*/ __pyx_tp_new__memoryviewslice, /*tp_new*/ 0, /*tp_free*/ 0, /*tp_is_gc*/ 0, /*tp_bases*/ 0, /*tp_mro*/ 0, /*tp_cache*/ 0, /*tp_subclasses*/ 0, /*tp_weaklist*/ 0, /*tp_del*/ #if PY_VERSION_HEX >= 0x02060000 0, /*tp_version_tag*/ #endif }; static PyMethodDef __pyx_methods[] = { {0, 0, 0, 0} }; #if PY_MAJOR_VERSION >= 3 static struct PyModuleDef __pyx_moduledef = { #if PY_VERSION_HEX < 0x03020000 { PyObject_HEAD_INIT(NULL) NULL, 0, NULL }, #else PyModuleDef_HEAD_INIT, #endif __Pyx_NAMESTR("_qhull64"), 0, /* m_doc */ -1, /* m_size */ __pyx_methods /* m_methods */, NULL, /* m_reload */ NULL, /* m_traverse */ NULL, /* m_clear */ NULL /* m_free */ }; #endif static __Pyx_StringTabEntry __pyx_string_tab[] = { {&__pyx_kp_u_12, __pyx_k_12, sizeof(__pyx_k_12), 0, 1, 0, 0}, {&__pyx_kp_s_14, __pyx_k_14, sizeof(__pyx_k_14), 0, 0, 1, 0}, {&__pyx_kp_s_16, __pyx_k_16, sizeof(__pyx_k_16), 0, 0, 1, 0}, {&__pyx_kp_s_19, __pyx_k_19, sizeof(__pyx_k_19), 0, 0, 1, 0}, {&__pyx_kp_u_2, __pyx_k_2, sizeof(__pyx_k_2), 0, 1, 0, 0}, {&__pyx_kp_s_21, __pyx_k_21, sizeof(__pyx_k_21), 0, 0, 1, 0}, {&__pyx_kp_s_22, __pyx_k_22, sizeof(__pyx_k_22), 0, 0, 1, 0}, {&__pyx_kp_s_24, __pyx_k_24, sizeof(__pyx_k_24), 0, 0, 1, 0}, {&__pyx_kp_s_26, __pyx_k_26, sizeof(__pyx_k_26), 0, 0, 1, 0}, {&__pyx_kp_s_28, __pyx_k_28, sizeof(__pyx_k_28), 0, 0, 1, 0}, {&__pyx_kp_s_30, __pyx_k_30, sizeof(__pyx_k_30), 0, 0, 1, 0}, {&__pyx_kp_s_32, __pyx_k_32, sizeof(__pyx_k_32), 0, 0, 1, 0}, {&__pyx_kp_s_33, __pyx_k_33, sizeof(__pyx_k_33), 0, 0, 1, 0}, {&__pyx_kp_s_36, __pyx_k_36, sizeof(__pyx_k_36), 0, 0, 1, 0}, {&__pyx_kp_s_38, __pyx_k_38, sizeof(__pyx_k_38), 0, 0, 1, 0}, {&__pyx_kp_u_4, __pyx_k_4, sizeof(__pyx_k_4), 0, 1, 0, 0}, {&__pyx_kp_s_43, __pyx_k_43, sizeof(__pyx_k_43), 0, 0, 1, 0}, {&__pyx_kp_s_45, __pyx_k_45, sizeof(__pyx_k_45), 0, 0, 1, 0}, {&__pyx_kp_s_47, __pyx_k_47, sizeof(__pyx_k_47), 0, 0, 1, 0}, {&__pyx_kp_s_49, __pyx_k_49, sizeof(__pyx_k_49), 0, 0, 1, 0}, {&__pyx_kp_s_51, __pyx_k_51, sizeof(__pyx_k_51), 0, 0, 1, 0}, {&__pyx_kp_s_53, __pyx_k_53, sizeof(__pyx_k_53), 0, 0, 1, 0}, {&__pyx_kp_s_55, __pyx_k_55, sizeof(__pyx_k_55), 0, 0, 1, 0}, {&__pyx_kp_s_59, __pyx_k_59, sizeof(__pyx_k_59), 0, 0, 1, 0}, {&__pyx_kp_u_6, __pyx_k_6, sizeof(__pyx_k_6), 0, 1, 0, 0}, {&__pyx_kp_s_61, __pyx_k_61, sizeof(__pyx_k_61), 0, 0, 1, 0}, {&__pyx_kp_s_63, __pyx_k_63, sizeof(__pyx_k_63), 0, 0, 1, 0}, {&__pyx_kp_s_65, __pyx_k_65, sizeof(__pyx_k_65), 0, 0, 1, 0}, {&__pyx_kp_s_67, __pyx_k_67, sizeof(__pyx_k_67), 0, 0, 1, 0}, {&__pyx_kp_s_69, __pyx_k_69, sizeof(__pyx_k_69), 0, 0, 1, 0}, {&__pyx_kp_u_8, __pyx_k_8, sizeof(__pyx_k_8), 0, 1, 0, 0}, {&__pyx_kp_u_9, __pyx_k_9, sizeof(__pyx_k_9), 0, 1, 0, 0}, {&__pyx_n_s__ASCII, __pyx_k__ASCII, sizeof(__pyx_k__ASCII), 0, 0, 1, 1}, {&__pyx_n_s__ArithmeticError, __pyx_k__ArithmeticError, sizeof(__pyx_k__ArithmeticError), 0, 0, 1, 1}, {&__pyx_n_s__Ellipsis, __pyx_k__Ellipsis, sizeof(__pyx_k__Ellipsis), 0, 0, 1, 1}, {&__pyx_n_s__IndexError, __pyx_k__IndexError, sizeof(__pyx_k__IndexError), 0, 0, 1, 1}, {&__pyx_n_s__Lock, __pyx_k__Lock, sizeof(__pyx_k__Lock), 0, 0, 1, 1}, {&__pyx_n_s__MemoryError, __pyx_k__MemoryError, sizeof(__pyx_k__MemoryError), 0, 0, 1, 1}, {&__pyx_n_b__O, __pyx_k__O, sizeof(__pyx_k__O), 0, 0, 0, 1}, {&__pyx_n_s__RuntimeError, __pyx_k__RuntimeError, sizeof(__pyx_k__RuntimeError), 0, 0, 1, 1}, {&__pyx_n_s__TypeError, __pyx_k__TypeError, sizeof(__pyx_k__TypeError), 0, 0, 1, 1}, {&__pyx_n_s__ValueError, __pyx_k__ValueError, sizeof(__pyx_k__ValueError), 0, 0, 1, 1}, {&__pyx_n_s____class__, __pyx_k____class__, sizeof(__pyx_k____class__), 0, 0, 1, 1}, {&__pyx_n_s____import__, __pyx_k____import__, sizeof(__pyx_k____import__), 0, 0, 1, 1}, {&__pyx_n_s____main__, __pyx_k____main__, sizeof(__pyx_k____main__), 0, 0, 1, 1}, {&__pyx_n_s____name__, __pyx_k____name__, sizeof(__pyx_k____name__), 0, 0, 1, 1}, {&__pyx_n_s____pyx_getbuffer, __pyx_k____pyx_getbuffer, sizeof(__pyx_k____pyx_getbuffer), 0, 0, 1, 1}, {&__pyx_n_s____pyx_releasebuffer, __pyx_k____pyx_releasebuffer, sizeof(__pyx_k____pyx_releasebuffer), 0, 0, 1, 1}, {&__pyx_n_s____pyx_vtable__, __pyx_k____pyx_vtable__, sizeof(__pyx_k____pyx_vtable__), 0, 0, 1, 1}, {&__pyx_n_s____test__, __pyx_k____test__, sizeof(__pyx_k____test__), 0, 0, 1, 1}, {&__pyx_n_s____version__, __pyx_k____version__, sizeof(__pyx_k____version__), 0, 0, 1, 1}, {&__pyx_n_s___errors, __pyx_k___errors, sizeof(__pyx_k___errors), 0, 0, 1, 1}, {&__pyx_n_s___qhull64, __pyx_k___qhull64, sizeof(__pyx_k___qhull64), 0, 0, 1, 1}, {&__pyx_n_s___qhull_lock, __pyx_k___qhull_lock, sizeof(__pyx_k___qhull_lock), 0, 0, 1, 1}, {&__pyx_n_s__allocate_buffer, __pyx_k__allocate_buffer, sizeof(__pyx_k__allocate_buffer), 0, 0, 1, 1}, {&__pyx_n_s__array, __pyx_k__array, sizeof(__pyx_k__array), 0, 0, 1, 1}, {&__pyx_n_s__base, __pyx_k__base, sizeof(__pyx_k__base), 0, 0, 1, 1}, {&__pyx_n_b__c, __pyx_k__c, sizeof(__pyx_k__c), 0, 0, 0, 1}, {&__pyx_n_s__c, __pyx_k__c, sizeof(__pyx_k__c), 0, 0, 1, 1}, {&__pyx_n_u__c, __pyx_k__c, sizeof(__pyx_k__c), 0, 1, 0, 1}, {&__pyx_n_s__c_command, __pyx_k__c_command, sizeof(__pyx_k__c_command), 0, 0, 1, 1}, {&__pyx_n_s__c_indices, __pyx_k__c_indices, sizeof(__pyx_k__c_indices), 0, 0, 1, 1}, {&__pyx_n_s__c_points, __pyx_k__c_points, sizeof(__pyx_k__c_points), 0, 0, 1, 1}, {&__pyx_n_s__command, __pyx_k__command, sizeof(__pyx_k__command), 0, 0, 1, 1}, {&__pyx_n_s__decode, __pyx_k__decode, sizeof(__pyx_k__decode), 0, 0, 1, 1}, {&__pyx_n_s__delaunay, __pyx_k__delaunay, sizeof(__pyx_k__delaunay), 0, 0, 1, 1}, {&__pyx_n_s__dimension, __pyx_k__dimension, sizeof(__pyx_k__dimension), 0, 0, 1, 1}, {&__pyx_n_s__dtype, __pyx_k__dtype, sizeof(__pyx_k__dtype), 0, 0, 1, 1}, {&__pyx_n_s__dtype_is_object, __pyx_k__dtype_is_object, sizeof(__pyx_k__dtype_is_object), 0, 0, 1, 1}, {&__pyx_n_s__empty, __pyx_k__empty, sizeof(__pyx_k__empty), 0, 0, 1, 1}, {&__pyx_n_s__encode, __pyx_k__encode, sizeof(__pyx_k__encode), 0, 0, 1, 1}, {&__pyx_n_s__enumerate, __pyx_k__enumerate, sizeof(__pyx_k__enumerate), 0, 0, 1, 1}, {&__pyx_n_s__error, __pyx_k__error, sizeof(__pyx_k__error), 0, 0, 1, 1}, {&__pyx_n_s__extend, __pyx_k__extend, sizeof(__pyx_k__extend), 0, 0, 1, 1}, {&__pyx_n_s__flags, __pyx_k__flags, sizeof(__pyx_k__flags), 0, 0, 1, 1}, {&__pyx_n_s__format, __pyx_k__format, sizeof(__pyx_k__format), 0, 0, 1, 1}, {&__pyx_n_b__fortran, __pyx_k__fortran, sizeof(__pyx_k__fortran), 0, 0, 0, 1}, {&__pyx_n_s__fortran, __pyx_k__fortran, sizeof(__pyx_k__fortran), 0, 0, 1, 1}, {&__pyx_n_s__id, __pyx_k__id, sizeof(__pyx_k__id), 0, 0, 1, 1}, {&__pyx_n_s__indices, __pyx_k__indices, sizeof(__pyx_k__indices), 0, 0, 1, 1}, {&__pyx_n_s__itemsize, __pyx_k__itemsize, sizeof(__pyx_k__itemsize), 0, 0, 1, 1}, {&__pyx_n_s__memview, __pyx_k__memview, sizeof(__pyx_k__memview), 0, 0, 1, 1}, {&__pyx_n_s__mode, __pyx_k__mode, sizeof(__pyx_k__mode), 0, 0, 1, 1}, {&__pyx_n_s__name, __pyx_k__name, sizeof(__pyx_k__name), 0, 0, 1, 1}, {&__pyx_n_s__nbFacets, __pyx_k__nbFacets, sizeof(__pyx_k__nbFacets), 0, 0, 1, 1}, {&__pyx_n_s__ndim, __pyx_k__ndim, sizeof(__pyx_k__ndim), 0, 0, 1, 1}, {&__pyx_n_s__numpy, __pyx_k__numpy, sizeof(__pyx_k__numpy), 0, 0, 1, 1}, {&__pyx_n_s__obj, __pyx_k__obj, sizeof(__pyx_k__obj), 0, 0, 1, 1}, {&__pyx_n_s__pack, __pyx_k__pack, sizeof(__pyx_k__pack), 0, 0, 1, 1}, {&__pyx_n_s__points, __pyx_k__points, sizeof(__pyx_k__points), 0, 0, 1, 1}, {&__pyx_n_s__range, __pyx_k__range, sizeof(__pyx_k__range), 0, 0, 1, 1}, {&__pyx_n_s__ravel, __pyx_k__ravel, sizeof(__pyx_k__ravel), 0, 0, 1, 1}, {&__pyx_n_s__result, __pyx_k__result, sizeof(__pyx_k__result), 0, 0, 1, 1}, {&__pyx_n_s__shape, __pyx_k__shape, sizeof(__pyx_k__shape), 0, 0, 1, 1}, {&__pyx_n_s__size, __pyx_k__size, sizeof(__pyx_k__size), 0, 0, 1, 1}, {&__pyx_n_s__start, __pyx_k__start, sizeof(__pyx_k__start), 0, 0, 1, 1}, {&__pyx_n_s__step, __pyx_k__step, sizeof(__pyx_k__step), 0, 0, 1, 1}, {&__pyx_n_s__stop, __pyx_k__stop, sizeof(__pyx_k__stop), 0, 0, 1, 1}, {&__pyx_n_s__struct, __pyx_k__struct, sizeof(__pyx_k__struct), 0, 0, 1, 1}, {&__pyx_n_s__threading, __pyx_k__threading, sizeof(__pyx_k__threading), 0, 0, 1, 1}, {&__pyx_n_s__uint32, __pyx_k__uint32, sizeof(__pyx_k__uint32), 0, 0, 1, 1}, {&__pyx_n_s__unpack, __pyx_k__unpack, sizeof(__pyx_k__unpack), 0, 0, 1, 1}, {&__pyx_n_s__xrange, __pyx_k__xrange, sizeof(__pyx_k__xrange), 0, 0, 1, 1}, {0, 0, 0, 0, 0, 0, 0} }; static int __Pyx_InitCachedBuiltins(void) { __pyx_builtin_RuntimeError = __Pyx_GetBuiltinName(__pyx_n_s__RuntimeError); if (!__pyx_builtin_RuntimeError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_ArithmeticError = __Pyx_GetBuiltinName(__pyx_n_s__ArithmeticError); if (!__pyx_builtin_ArithmeticError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_MemoryError = __Pyx_GetBuiltinName(__pyx_n_s__MemoryError); if (!__pyx_builtin_MemoryError) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s__range); if (!__pyx_builtin_range) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 115; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_ValueError = __Pyx_GetBuiltinName(__pyx_n_s__ValueError); if (!__pyx_builtin_ValueError) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_enumerate = __Pyx_GetBuiltinName(__pyx_n_s__enumerate); if (!__pyx_builtin_enumerate) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 145; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_Ellipsis = __Pyx_GetBuiltinName(__pyx_n_s__Ellipsis); if (!__pyx_builtin_Ellipsis) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 363; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_TypeError = __Pyx_GetBuiltinName(__pyx_n_s__TypeError); if (!__pyx_builtin_TypeError) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 392; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #if PY_MAJOR_VERSION >= 3 __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s__range); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #else __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s__xrange); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 521; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif __pyx_builtin_id = __Pyx_GetBuiltinName(__pyx_n_s__id); if (!__pyx_builtin_id) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 576; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_builtin_IndexError = __Pyx_GetBuiltinName(__pyx_n_s__IndexError); if (!__pyx_builtin_IndexError) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 794; __pyx_clineno = __LINE__; goto __pyx_L1_error;} return 0; __pyx_L1_error:; return -1; } static int __Pyx_InitCachedConstants(void) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__Pyx_InitCachedConstants", 0); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":161 * _qhull.qh_freeqhull(_qhull.qh_ALL) # Free qhull resources * #_qhull_lock.release() * return numpy.array((), dtype=numpy.uint32) # <<<<<<<<<<<<<< * * # Get facets' indices */ __pyx_k_tuple_1 = PyTuple_Pack(1, ((PyObject *)__pyx_empty_tuple)); if (unlikely(!__pyx_k_tuple_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 161; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_1); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_1)); /* "numpy.pxd":215 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) */ __pyx_k_tuple_3 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_2)); if (unlikely(!__pyx_k_tuple_3)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 215; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_3); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_3)); /* "numpy.pxd":219 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< * * info.buf = PyArray_DATA(self) */ __pyx_k_tuple_5 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_4)); if (unlikely(!__pyx_k_tuple_5)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 219; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_5); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_5)); /* "numpy.pxd":257 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" */ __pyx_k_tuple_7 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_6)); if (unlikely(!__pyx_k_tuple_7)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 257; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_7); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_7)); /* "numpy.pxd":799 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< * * if ((child.byteorder == c'>' and little_endian) or */ __pyx_k_tuple_10 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_9)); if (unlikely(!__pyx_k_tuple_10)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 799; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_10); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_10)); /* "numpy.pxd":803 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< * # One could encode it in the format string and have Cython * # complain instead, BUT: < and > in format strings also imply */ __pyx_k_tuple_11 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_6)); if (unlikely(!__pyx_k_tuple_11)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 803; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_11); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_11)); /* "numpy.pxd":823 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< * * # Until ticket #99 is fixed, use integers to avoid warnings */ __pyx_k_tuple_13 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_u_12)); if (unlikely(!__pyx_k_tuple_13)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 823; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_13); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_13)); /* "View.MemoryView":124 * * if not self.ndim: * raise ValueError("Empty shape tuple for cython.array") # <<<<<<<<<<<<<< * * if self.itemsize <= 0: */ __pyx_k_tuple_15 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_14)); if (unlikely(!__pyx_k_tuple_15)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_15); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_15)); /* "View.MemoryView":127 * * if self.itemsize <= 0: * raise ValueError("itemsize <= 0 for cython.array") # <<<<<<<<<<<<<< * * encode = getattr(format, 'encode', None) */ __pyx_k_tuple_17 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_16)); if (unlikely(!__pyx_k_tuple_17)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 127; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_17); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_17)); /* "View.MemoryView":131 * encode = getattr(format, 'encode', None) * if encode: * format = encode('ASCII') # <<<<<<<<<<<<<< * self._format = format * self.format = self._format */ __pyx_k_tuple_18 = PyTuple_Pack(1, ((PyObject *)__pyx_n_s__ASCII)); if (unlikely(!__pyx_k_tuple_18)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 131; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_18); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_18)); /* "View.MemoryView":141 * free(self._shape) * free(self._strides) * raise MemoryError("unable to allocate shape or strides.") # <<<<<<<<<<<<<< * * */ __pyx_k_tuple_20 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_19)); if (unlikely(!__pyx_k_tuple_20)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 141; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_20); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_20)); /* "View.MemoryView":166 * decode = getattr(mode, 'decode', None) * if decode: * mode = decode('ASCII') # <<<<<<<<<<<<<< * self.mode = mode * */ __pyx_k_tuple_23 = PyTuple_Pack(1, ((PyObject *)__pyx_n_s__ASCII)); if (unlikely(!__pyx_k_tuple_23)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 166; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_23); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_23)); /* "View.MemoryView":174 * self.data = malloc(self.len) * if not self.data: * raise MemoryError("unable to allocate array data.") # <<<<<<<<<<<<<< * * if self.dtype_is_object: */ __pyx_k_tuple_25 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_24)); if (unlikely(!__pyx_k_tuple_25)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 174; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_25); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_25)); /* "View.MemoryView":190 * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") # <<<<<<<<<<<<<< * info.buf = self.data * info.len = self.len */ __pyx_k_tuple_27 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_26)); if (unlikely(!__pyx_k_tuple_27)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 190; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_27); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_27)); /* "View.MemoryView":452 * result = struct.unpack(self.view.format, bytesitem) * except struct.error: * raise ValueError("Unable to convert item to object") # <<<<<<<<<<<<<< * else: * if len(self.view.format) == 1: */ __pyx_k_tuple_29 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_28)); if (unlikely(!__pyx_k_tuple_29)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 452; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_29); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_29)); /* "View.MemoryView":528 * if self.view.strides == NULL: * * raise ValueError("Buffer view does not expose strides") # <<<<<<<<<<<<<< * * return tuple([self.view.strides[i] for i in xrange(self.view.ndim)]) */ __pyx_k_tuple_31 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_30)); if (unlikely(!__pyx_k_tuple_31)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 528; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_31); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_31)); /* "View.MemoryView":643 * if item is Ellipsis: * if not seen_ellipsis: * result.extend([slice(None)] * (ndim - len(tup) + 1)) # <<<<<<<<<<<<<< * seen_ellipsis = True * else: */ __pyx_k_tuple_34 = PyTuple_Pack(1, Py_None); if (unlikely(!__pyx_k_tuple_34)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 643; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_34); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_34)); /* "View.MemoryView":646 * seen_ellipsis = True * else: * result.append(slice(None)) # <<<<<<<<<<<<<< * have_slices = True * else: */ __pyx_k_tuple_35 = PyTuple_Pack(1, Py_None); if (unlikely(!__pyx_k_tuple_35)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 646; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_35); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_35)); /* "View.MemoryView":657 * nslices = ndim - len(result) * if nslices: * result.extend([slice(None)] * nslices) # <<<<<<<<<<<<<< * * return have_slices or nslices, tuple(result) */ __pyx_k_tuple_37 = PyTuple_Pack(1, Py_None); if (unlikely(!__pyx_k_tuple_37)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 657; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_37); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_37)); /* "View.MemoryView":665 * for i in range(ndim): * if suboffsets[i] >= 0: * raise ValueError("Indirect dimensions not supported") # <<<<<<<<<<<<<< * * */ __pyx_k_tuple_39 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_38)); if (unlikely(!__pyx_k_tuple_39)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 665; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_39); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_39)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":56 * * _errors = { * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), # <<<<<<<<<<<<<< * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), */ __pyx_k_tuple_48 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_47)); if (unlikely(!__pyx_k_tuple_48)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_48); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_48)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":57 * _errors = { * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), # <<<<<<<<<<<<<< * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), */ __pyx_k_tuple_50 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_49)); if (unlikely(!__pyx_k_tuple_50)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_50); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_50)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":58 * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), # <<<<<<<<<<<<<< * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), * _qhull.qh_ERRqhull: RuntimeError('qhull internal error'), */ __pyx_k_tuple_52 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_51)); if (unlikely(!__pyx_k_tuple_52)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_52); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_52)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":59 * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), # <<<<<<<<<<<<<< * _qhull.qh_ERRqhull: RuntimeError('qhull internal error'), * } */ __pyx_k_tuple_54 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_53)); if (unlikely(!__pyx_k_tuple_54)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_54); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_54)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":60 * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), * _qhull.qh_ERRqhull: RuntimeError('qhull internal error'), # <<<<<<<<<<<<<< * } * */ __pyx_k_tuple_56 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_55)); if (unlikely(!__pyx_k_tuple_56)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 60; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_56); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_56)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":128 * @cython.boundscheck(False) * @cython.wraparound(False) * def delaunay(numpy.ndarray[_qhull.realT, ndim=2, mode='c'] points, command): # <<<<<<<<<<<<<< * """Delaunay triangulation using qhull library. * */ __pyx_k_tuple_57 = PyTuple_Pack(9, ((PyObject *)__pyx_n_s__points), ((PyObject *)__pyx_n_s__command), ((PyObject *)__pyx_n_s__dimension), ((PyObject *)__pyx_n_s__c_points), ((PyObject *)__pyx_n_s__c_command), ((PyObject *)__pyx_n_s__result), ((PyObject *)__pyx_n_s__nbFacets), ((PyObject *)__pyx_n_s__indices), ((PyObject *)__pyx_n_s__c_indices)); if (unlikely(!__pyx_k_tuple_57)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_57); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_57)); __pyx_k_codeobj_58 = (PyObject*)__Pyx_PyCode_New(2, 0, 9, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_k_tuple_57, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_59, __pyx_n_s__delaunay, 128, __pyx_empty_bytes); if (unlikely(!__pyx_k_codeobj_58)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /* "View.MemoryView":282 * return self.name * * cdef generic = Enum("") # <<<<<<<<<<<<<< * cdef strided = Enum("") # default * cdef indirect = Enum("") */ __pyx_k_tuple_62 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_61)); if (unlikely(!__pyx_k_tuple_62)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 282; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_62); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_62)); /* "View.MemoryView":283 * * cdef generic = Enum("") * cdef strided = Enum("") # default # <<<<<<<<<<<<<< * cdef indirect = Enum("") * */ __pyx_k_tuple_64 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_63)); if (unlikely(!__pyx_k_tuple_64)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 283; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_64); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_64)); /* "View.MemoryView":284 * cdef generic = Enum("") * cdef strided = Enum("") # default * cdef indirect = Enum("") # <<<<<<<<<<<<<< * * */ __pyx_k_tuple_66 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_65)); if (unlikely(!__pyx_k_tuple_66)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 284; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_66); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_66)); /* "View.MemoryView":287 * * * cdef contiguous = Enum("") # <<<<<<<<<<<<<< * cdef indirect_contiguous = Enum("") * */ __pyx_k_tuple_68 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_67)); if (unlikely(!__pyx_k_tuple_68)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 287; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_68); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_68)); /* "View.MemoryView":288 * * cdef contiguous = Enum("") * cdef indirect_contiguous = Enum("") # <<<<<<<<<<<<<< * * */ __pyx_k_tuple_70 = PyTuple_Pack(1, ((PyObject *)__pyx_kp_s_69)); if (unlikely(!__pyx_k_tuple_70)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 288; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_k_tuple_70); __Pyx_GIVEREF(((PyObject *)__pyx_k_tuple_70)); __Pyx_RefNannyFinishContext(); return 0; __pyx_L1_error:; __Pyx_RefNannyFinishContext(); return -1; } static int __Pyx_InitGlobals(void) { if (__Pyx_InitStrings(__pyx_string_tab) < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_0 = PyInt_FromLong(0); if (unlikely(!__pyx_int_0)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_1 = PyInt_FromLong(1); if (unlikely(!__pyx_int_1)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_neg_1 = PyInt_FromLong(-1); if (unlikely(!__pyx_int_neg_1)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; __pyx_int_15 = PyInt_FromLong(15); if (unlikely(!__pyx_int_15)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; return 0; __pyx_L1_error:; return -1; } #if PY_MAJOR_VERSION < 3 PyMODINIT_FUNC init_qhull64(void); /*proto*/ PyMODINIT_FUNC init_qhull64(void) #else PyMODINIT_FUNC PyInit__qhull64(void); /*proto*/ PyMODINIT_FUNC PyInit__qhull64(void) #endif { PyObject *__pyx_t_1 = NULL; int __pyx_t_2; PyObject *__pyx_t_3 = NULL; PyObject *__pyx_t_4 = NULL; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; __Pyx_RefNannyDeclarations #if CYTHON_REFNANNY __Pyx_RefNanny = __Pyx_RefNannyImportAPI("refnanny"); if (!__Pyx_RefNanny) { PyErr_Clear(); __Pyx_RefNanny = __Pyx_RefNannyImportAPI("Cython.Runtime.refnanny"); if (!__Pyx_RefNanny) Py_FatalError("failed to import 'refnanny' module"); } #endif __Pyx_RefNannySetupContext("PyMODINIT_FUNC PyInit__qhull64(void)", 0); if ( __Pyx_check_binary_version() < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_empty_tuple = PyTuple_New(0); if (unlikely(!__pyx_empty_tuple)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_empty_bytes = PyBytes_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_bytes)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #ifdef __Pyx_CyFunction_USED if (__Pyx_CyFunction_init() < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif #ifdef __Pyx_FusedFunction_USED if (__pyx_FusedFunction_init() < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif #ifdef __Pyx_Generator_USED if (__pyx_Generator_init() < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif /*--- Library function declarations ---*/ /*--- Threads initialization code ---*/ #if defined(__PYX_FORCE_INIT_THREADS) && __PYX_FORCE_INIT_THREADS #ifdef WITH_THREAD /* Python build with threading support? */ PyEval_InitThreads(); #endif #endif /*--- Module creation code ---*/ #if PY_MAJOR_VERSION < 3 __pyx_m = Py_InitModule4(__Pyx_NAMESTR("_qhull64"), __pyx_methods, 0, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m); #else __pyx_m = PyModule_Create(&__pyx_moduledef); #endif if (unlikely(!__pyx_m)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_d = PyModule_GetDict(__pyx_m); if (unlikely(!__pyx_d)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} Py_INCREF(__pyx_d); #if PY_MAJOR_VERSION >= 3 { PyObject *modules = PyImport_GetModuleDict(); if (unlikely(!modules)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (!PyDict_GetItemString(modules, "_qhull64")) { if (unlikely(PyDict_SetItemString(modules, "_qhull64", __pyx_m) < 0)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} } } #endif __pyx_b = PyImport_AddModule(__Pyx_NAMESTR(__Pyx_BUILTIN_MODULE_NAME)); if (unlikely(!__pyx_b)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #if CYTHON_COMPILING_IN_PYPY Py_INCREF(__pyx_b); #endif if (__Pyx_SetAttrString(__pyx_m, "__builtins__", __pyx_b) < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; /*--- Initialize various global constants etc. ---*/ if (unlikely(__Pyx_InitGlobals() < 0)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #if PY_MAJOR_VERSION < 3 && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT) if (__Pyx_init_sys_getdefaultencoding_params() < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} #endif if (__pyx_module_is_main__qhull64) { if (__Pyx_SetAttrString(__pyx_m, "__name__", __pyx_n_s____main__) < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;}; } /*--- Builtin init code ---*/ if (unlikely(__Pyx_InitCachedBuiltins() < 0)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /*--- Constants init code ---*/ if (unlikely(__Pyx_InitCachedConstants() < 0)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /*--- Global init code ---*/ generic = Py_None; Py_INCREF(Py_None); strided = Py_None; Py_INCREF(Py_None); indirect = Py_None; Py_INCREF(Py_None); contiguous = Py_None; Py_INCREF(Py_None); indirect_contiguous = Py_None; Py_INCREF(Py_None); /*--- Variable export code ---*/ /*--- Function export code ---*/ /*--- Type init code ---*/ __pyx_vtabptr_memoryview = &__pyx_vtable_memoryview; __pyx_vtable_memoryview.get_item_pointer = (char *(*)(struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_get_item_pointer; __pyx_vtable_memoryview.is_slice = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_is_slice; __pyx_vtable_memoryview.setitem_slice_assignment = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *, PyObject *))__pyx_memoryview_setitem_slice_assignment; __pyx_vtable_memoryview.setitem_slice_assign_scalar = (PyObject *(*)(struct __pyx_memoryview_obj *, struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_setitem_slice_assign_scalar; __pyx_vtable_memoryview.setitem_indexed = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *, PyObject *))__pyx_memoryview_setitem_indexed; __pyx_vtable_memoryview.convert_item_to_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *))__pyx_memoryview_convert_item_to_object; __pyx_vtable_memoryview.assign_item_from_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *, PyObject *))__pyx_memoryview_assign_item_from_object; if (PyType_Ready(&__pyx_type___pyx_memoryview) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 308; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__Pyx_SetVtable(__pyx_type___pyx_memoryview.tp_dict, __pyx_vtabptr_memoryview) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 308; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_memoryview_type = &__pyx_type___pyx_memoryview; if (PyType_Ready(&__pyx_type___pyx_array) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 96; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_array_type = &__pyx_type___pyx_array; if (PyType_Ready(&__pyx_type___pyx_MemviewEnum) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 275; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_MemviewEnum_type = &__pyx_type___pyx_MemviewEnum; __pyx_vtabptr__memoryviewslice = &__pyx_vtable__memoryviewslice; __pyx_vtable__memoryviewslice.__pyx_base = *__pyx_vtabptr_memoryview; __pyx_vtable__memoryviewslice.__pyx_base.convert_item_to_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *))__pyx_memoryviewslice_convert_item_to_object; __pyx_vtable__memoryviewslice.__pyx_base.assign_item_from_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *, PyObject *))__pyx_memoryviewslice_assign_item_from_object; __pyx_type___pyx_memoryviewslice.tp_base = __pyx_memoryview_type; if (PyType_Ready(&__pyx_type___pyx_memoryviewslice) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 927; __pyx_clineno = __LINE__; goto __pyx_L1_error;} if (__Pyx_SetVtable(__pyx_type___pyx_memoryviewslice.tp_dict, __pyx_vtabptr__memoryviewslice) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 927; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_memoryviewslice_type = &__pyx_type___pyx_memoryviewslice; /*--- Type import code ---*/ __pyx_ptype_7cpython_4type_type = __Pyx_ImportType(__Pyx_BUILTIN_MODULE_NAME, "type", #if CYTHON_COMPILING_IN_PYPY sizeof(PyTypeObject), #else sizeof(PyHeapTypeObject), #endif 0); if (unlikely(!__pyx_ptype_7cpython_4type_type)) {__pyx_filename = __pyx_f[4]; __pyx_lineno = 9; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_dtype = __Pyx_ImportType("numpy", "dtype", sizeof(PyArray_Descr), 0); if (unlikely(!__pyx_ptype_5numpy_dtype)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 155; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_flatiter = __Pyx_ImportType("numpy", "flatiter", sizeof(PyArrayIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_flatiter)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 165; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_broadcast = __Pyx_ImportType("numpy", "broadcast", sizeof(PyArrayMultiIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_broadcast)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 169; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_ndarray = __Pyx_ImportType("numpy", "ndarray", sizeof(PyArrayObject), 0); if (unlikely(!__pyx_ptype_5numpy_ndarray)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 178; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __pyx_ptype_5numpy_ufunc = __Pyx_ImportType("numpy", "ufunc", sizeof(PyUFuncObject), 0); if (unlikely(!__pyx_ptype_5numpy_ufunc)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 861; __pyx_clineno = __LINE__; goto __pyx_L1_error;} /*--- Variable import code ---*/ /*--- Function import code ---*/ /*--- Execution code ---*/ /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":31 * * import cython * import numpy # <<<<<<<<<<<<<< * cimport numpy * import threading */ __pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__numpy), 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 31; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_d, __pyx_n_s__numpy, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 31; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":33 * import numpy * cimport numpy * import threading # <<<<<<<<<<<<<< * cimport qhull as _qhull * */ __pyx_t_1 = __Pyx_Import(((PyObject *)__pyx_n_s__threading), 0, -1); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 33; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_d, __pyx_n_s__threading, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 33; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":46 * void import_umath() * * if FALSE: # <<<<<<<<<<<<<< * import_array() * import_umath() */ __pyx_t_2 = (0 != 0); if (__pyx_t_2) { /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":47 * * if FALSE: * import_array() # <<<<<<<<<<<<<< * import_umath() * */ import_array(); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":48 * if FALSE: * import_array() * import_umath() # <<<<<<<<<<<<<< * * */ import_umath(); goto __pyx_L2; } __pyx_L2:; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":52 * * # Version string * __version__ = _qhull.qh_version # <<<<<<<<<<<<<< * * */ __pyx_t_1 = __Pyx_PyBytes_FromString(qh_version); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); if (PyDict_SetItem(__pyx_d, __pyx_n_s____version__, ((PyObject *)__pyx_t_1)) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":55 * * * _errors = { # <<<<<<<<<<<<<< * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), */ __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":56 * * _errors = { * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), # <<<<<<<<<<<<<< * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), */ __pyx_t_3 = PyInt_FromLong(qh_ERRinput); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_48), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); if (PyDict_SetItem(__pyx_t_1, __pyx_t_3, __pyx_t_4) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":57 * _errors = { * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), # <<<<<<<<<<<<<< * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), */ __pyx_t_4 = PyInt_FromLong(qh_ERRsingular); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_3 = PyObject_Call(__pyx_builtin_ArithmeticError, ((PyObject *)__pyx_k_tuple_50), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (PyDict_SetItem(__pyx_t_1, __pyx_t_4, __pyx_t_3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":58 * _qhull.qh_ERRinput: RuntimeError('qhull input inconsistency'), * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), # <<<<<<<<<<<<<< * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), * _qhull.qh_ERRqhull: RuntimeError('qhull internal error'), */ __pyx_t_3 = PyInt_FromLong(qh_ERRprec); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyObject_Call(__pyx_builtin_ArithmeticError, ((PyObject *)__pyx_k_tuple_52), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); if (PyDict_SetItem(__pyx_t_1, __pyx_t_3, __pyx_t_4) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":59 * _qhull.qh_ERRsingular: ArithmeticError('qhull singluar input data'), * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), # <<<<<<<<<<<<<< * _qhull.qh_ERRqhull: RuntimeError('qhull internal error'), * } */ __pyx_t_4 = PyInt_FromLong(qh_ERRmem); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __pyx_t_3 = PyObject_Call(__pyx_builtin_MemoryError, ((PyObject *)__pyx_k_tuple_54), NULL); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); if (PyDict_SetItem(__pyx_t_1, __pyx_t_4, __pyx_t_3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":60 * _qhull.qh_ERRprec: ArithmeticError('qhull precision error'), * _qhull.qh_ERRmem: MemoryError('qhull insufficient memory'), * _qhull.qh_ERRqhull: RuntimeError('qhull internal error'), # <<<<<<<<<<<<<< * } * */ __pyx_t_3 = PyInt_FromLong(qh_ERRqhull); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 60; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = PyObject_Call(__pyx_builtin_RuntimeError, ((PyObject *)__pyx_k_tuple_56), NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 60; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); if (PyDict_SetItem(__pyx_t_1, __pyx_t_3, __pyx_t_4) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (PyDict_SetItem(__pyx_d, __pyx_n_s___errors, ((PyObject *)__pyx_t_1)) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":124 * * # Avoid concurrent use of the qhull library * _qhull_lock = threading.Lock() # <<<<<<<<<<<<<< * * @cython.boundscheck(False) */ __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s__threading); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s__Lock); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = PyObject_Call(__pyx_t_4, ((PyObject *)__pyx_empty_tuple), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (PyDict_SetItem(__pyx_d, __pyx_n_s___qhull_lock, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 124; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "/users/tvincent/src/pymca/PyMca5/Object3D/Object3DQhull/_qhull/qhull.pxi":128 * @cython.boundscheck(False) * @cython.wraparound(False) * def delaunay(numpy.ndarray[_qhull.realT, ndim=2, mode='c'] points, command): # <<<<<<<<<<<<<< * """Delaunay triangulation using qhull library. * */ __pyx_t_1 = PyCFunction_NewEx(&__pyx_mdef_8_qhull64_1delaunay, NULL, __pyx_n_s___qhull64); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_d, __pyx_n_s__delaunay, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 128; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; /* "_qhull64.pyx":1 * # Proxy to qhull wrapper for 64-bits # <<<<<<<<<<<<<< * include 'qhull.pxi' */ __pyx_t_1 = PyDict_New(); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(((PyObject *)__pyx_t_1)); if (PyDict_SetItem(__pyx_d, __pyx_n_s____test__, ((PyObject *)__pyx_t_1)) < 0) {__pyx_filename = __pyx_f[3]; __pyx_lineno = 1; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(((PyObject *)__pyx_t_1)); __pyx_t_1 = 0; /* "View.MemoryView":207 * info.obj = self * * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< * * def __dealloc__(array self): */ __pyx_t_1 = __pyx_capsule_create(((void *)(&__pyx_array_getbuffer)), __pyx_k_60); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 207; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_array_type->tp_dict, __pyx_n_s____pyx_getbuffer, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 207; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; PyType_Modified(__pyx_array_type); /* "View.MemoryView":282 * return self.name * * cdef generic = Enum("") # <<<<<<<<<<<<<< * cdef strided = Enum("") # default * cdef indirect = Enum("") */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_62), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 282; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(generic); __Pyx_DECREF_SET(generic, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":283 * * cdef generic = Enum("") * cdef strided = Enum("") # default # <<<<<<<<<<<<<< * cdef indirect = Enum("") * */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_64), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 283; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(strided); __Pyx_DECREF_SET(strided, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":284 * cdef generic = Enum("") * cdef strided = Enum("") # default * cdef indirect = Enum("") # <<<<<<<<<<<<<< * * */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_66), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 284; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(indirect); __Pyx_DECREF_SET(indirect, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":287 * * * cdef contiguous = Enum("") # <<<<<<<<<<<<<< * cdef indirect_contiguous = Enum("") * */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_68), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 287; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(contiguous); __Pyx_DECREF_SET(contiguous, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":288 * * cdef contiguous = Enum("") * cdef indirect_contiguous = Enum("") # <<<<<<<<<<<<<< * * */ __pyx_t_1 = PyObject_Call(((PyObject *)((PyObject *)__pyx_MemviewEnum_type)), ((PyObject *)__pyx_k_tuple_70), NULL); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 288; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); __Pyx_XGOTREF(indirect_contiguous); __Pyx_DECREF_SET(indirect_contiguous, __pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":503 * info.obj = self * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< * * */ __pyx_t_1 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), __pyx_k_60); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 503; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_memoryview_type->tp_dict, __pyx_n_s____pyx_getbuffer, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 503; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; PyType_Modified(__pyx_memoryview_type); /* "View.MemoryView":958 * return self.from_object * * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, "getbuffer(obj, view, flags)") # <<<<<<<<<<<<<< * * */ __pyx_t_1 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), __pyx_k_60); if (unlikely(!__pyx_t_1)) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 958; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_memoryviewslice_type->tp_dict, __pyx_n_s____pyx_getbuffer, __pyx_t_1) < 0) {__pyx_filename = __pyx_f[2]; __pyx_lineno = 958; __pyx_clineno = __LINE__; goto __pyx_L1_error;} __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; PyType_Modified(__pyx_memoryviewslice_type); /* "View.MemoryView":1365 * * @cname('__pyx_memoryview__slice_assign_scalar') * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< * Py_ssize_t *strides, int ndim, * size_t itemsize, void *item) nogil: */ goto __pyx_L0; __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_4); if (__pyx_m) { __Pyx_AddTraceback("init _qhull64", __pyx_clineno, __pyx_lineno, __pyx_filename); Py_DECREF(__pyx_m); __pyx_m = 0; } else if (!PyErr_Occurred()) { PyErr_SetString(PyExc_ImportError, "init _qhull64"); } __pyx_L0:; __Pyx_RefNannyFinishContext(); #if PY_MAJOR_VERSION < 3 return; #else return __pyx_m; #endif } /* Runtime support code */ #if CYTHON_REFNANNY static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) { PyObject *m = NULL, *p = NULL; void *r = NULL; m = PyImport_ImportModule((char *)modname); if (!m) goto end; p = PyObject_GetAttrString(m, (char *)"RefNannyAPI"); if (!p) goto end; r = PyLong_AsVoidPtr(p); end: Py_XDECREF(p); Py_XDECREF(m); return (__Pyx_RefNannyAPIStruct *)r; } #endif /* CYTHON_REFNANNY */ static PyObject *__Pyx_GetBuiltinName(PyObject *name) { PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name); if (unlikely(!result)) { PyErr_Format(PyExc_NameError, #if PY_MAJOR_VERSION >= 3 "name '%U' is not defined", name); #else "name '%s' is not defined", PyString_AS_STRING(name)); #endif } return result; } static void __Pyx_RaiseArgtupleInvalid( const char* func_name, int exact, Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found) { Py_ssize_t num_expected; const char *more_or_less; if (num_found < num_min) { num_expected = num_min; more_or_less = "at least"; } else { num_expected = num_max; more_or_less = "at most"; } if (exact) { more_or_less = "exactly"; } PyErr_Format(PyExc_TypeError, "%s() takes %s %" CYTHON_FORMAT_SSIZE_T "d positional argument%s (%" CYTHON_FORMAT_SSIZE_T "d given)", func_name, more_or_less, num_expected, (num_expected == 1) ? "" : "s", num_found); } static void __Pyx_RaiseDoubleKeywordsError( const char* func_name, PyObject* kw_name) { PyErr_Format(PyExc_TypeError, #if PY_MAJOR_VERSION >= 3 "%s() got multiple values for keyword argument '%U'", func_name, kw_name); #else "%s() got multiple values for keyword argument '%s'", func_name, PyString_AsString(kw_name)); #endif } static int __Pyx_ParseOptionalKeywords( PyObject *kwds, PyObject **argnames[], PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args, const char* function_name) { PyObject *key = 0, *value = 0; Py_ssize_t pos = 0; PyObject*** name; PyObject*** first_kw_arg = argnames + num_pos_args; while (PyDict_Next(kwds, &pos, &key, &value)) { name = first_kw_arg; while (*name && (**name != key)) name++; if (*name) { values[name-argnames] = value; continue; } name = first_kw_arg; #if PY_MAJOR_VERSION < 3 if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) { while (*name) { if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) && _PyString_Eq(**name, key)) { values[name-argnames] = value; break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { if ((**argname == key) || ( (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) && _PyString_Eq(**argname, key))) { goto arg_passed_twice; } argname++; } } } else #endif if (likely(PyUnicode_Check(key))) { while (*name) { int cmp = (**name == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**name, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) { values[name-argnames] = value; break; } name++; } if (*name) continue; else { PyObject*** argname = argnames; while (argname != first_kw_arg) { int cmp = (**argname == key) ? 0 : #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : #endif PyUnicode_Compare(**argname, key); if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; if (cmp == 0) goto arg_passed_twice; argname++; } } } else goto invalid_keyword_type; if (kwds2) { if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; } else { goto invalid_keyword; } } return 0; arg_passed_twice: __Pyx_RaiseDoubleKeywordsError(function_name, key); goto bad; invalid_keyword_type: PyErr_Format(PyExc_TypeError, "%s() keywords must be strings", function_name); goto bad; invalid_keyword: PyErr_Format(PyExc_TypeError, #if PY_MAJOR_VERSION < 3 "%s() got an unexpected keyword argument '%s'", function_name, PyString_AsString(key)); #else "%s() got an unexpected keyword argument '%U'", function_name, key); #endif bad: return -1; } static int __Pyx_ArgTypeTest(PyObject *obj, PyTypeObject *type, int none_allowed, const char *name, int exact) { if (!type) { PyErr_Format(PyExc_SystemError, "Missing type object"); return 0; } if (none_allowed && obj == Py_None) return 1; else if (exact) { if (Py_TYPE(obj) == type) return 1; } else { if (PyObject_TypeCheck(obj, type)) return 1; } PyErr_Format(PyExc_TypeError, "Argument '%s' has incorrect type (expected %s, got %s)", name, type->tp_name, Py_TYPE(obj)->tp_name); return 0; } static CYTHON_INLINE int __Pyx_IsLittleEndian(void) { unsigned int n = 1; return *(unsigned char*)(&n) != 0; } static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, __Pyx_BufFmt_StackElem* stack, __Pyx_TypeInfo* type) { stack[0].field = &ctx->root; stack[0].parent_offset = 0; ctx->root.type = type; ctx->root.name = "buffer dtype"; ctx->root.offset = 0; ctx->head = stack; ctx->head->field = &ctx->root; ctx->fmt_offset = 0; ctx->head->parent_offset = 0; ctx->new_packmode = '@'; ctx->enc_packmode = '@'; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->is_complex = 0; ctx->is_valid_array = 0; ctx->struct_alignment = 0; while (type->typegroup == 'S') { ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = 0; type = type->fields->type; } } static int __Pyx_BufFmt_ParseNumber(const char** ts) { int count; const char* t = *ts; if (*t < '0' || *t > '9') { return -1; } else { count = *t++ - '0'; while (*t >= '0' && *t < '9') { count *= 10; count += *t++ - '0'; } } *ts = t; return count; } static int __Pyx_BufFmt_ExpectNumber(const char **ts) { int number = __Pyx_BufFmt_ParseNumber(ts); if (number == -1) /* First char was not a digit */ PyErr_Format(PyExc_ValueError,\ "Does not understand character buffer dtype format string ('%c')", **ts); return number; } static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { PyErr_Format(PyExc_ValueError, "Unexpected format string character: '%c'", ch); } static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { switch (ch) { case 'c': return "'char'"; case 'b': return "'signed char'"; case 'B': return "'unsigned char'"; case 'h': return "'short'"; case 'H': return "'unsigned short'"; case 'i': return "'int'"; case 'I': return "'unsigned int'"; case 'l': return "'long'"; case 'L': return "'unsigned long'"; case 'q': return "'long long'"; case 'Q': return "'unsigned long long'"; case 'f': return (is_complex ? "'complex float'" : "'float'"); case 'd': return (is_complex ? "'complex double'" : "'double'"); case 'g': return (is_complex ? "'complex long double'" : "'long double'"); case 'T': return "a struct"; case 'O': return "Python object"; case 'P': return "a pointer"; case 's': case 'p': return "a string"; case 0: return "end"; default: return "unparseable format string"; } } static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return 2; case 'i': case 'I': case 'l': case 'L': return 4; case 'q': case 'Q': return 8; case 'f': return (is_complex ? 8 : 4); case 'd': return (is_complex ? 16 : 8); case 'g': { PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); return 0; } case 'O': case 'P': return sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { switch (ch) { case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(short); case 'i': case 'I': return sizeof(int); case 'l': case 'L': return sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(float) * (is_complex ? 2 : 1); case 'd': return sizeof(double) * (is_complex ? 2 : 1); case 'g': return sizeof(long double) * (is_complex ? 2 : 1); case 'O': case 'P': return sizeof(void*); default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } typedef struct { char c; short x; } __Pyx_st_short; typedef struct { char c; int x; } __Pyx_st_int; typedef struct { char c; long x; } __Pyx_st_long; typedef struct { char c; float x; } __Pyx_st_float; typedef struct { char c; double x; } __Pyx_st_double; typedef struct { char c; long double x; } __Pyx_st_longdouble; typedef struct { char c; void *x; } __Pyx_st_void_p; #ifdef HAVE_LONG_LONG typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_st_float) - sizeof(float); case 'd': return sizeof(__Pyx_st_double) - sizeof(double); case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } /* These are for computing the padding at the end of the struct to align on the first member of the struct. This will probably the same as above, but we don't have any guarantees. */ typedef struct { short x; char c; } __Pyx_pad_short; typedef struct { int x; char c; } __Pyx_pad_int; typedef struct { long x; char c; } __Pyx_pad_long; typedef struct { float x; char c; } __Pyx_pad_float; typedef struct { double x; char c; } __Pyx_pad_double; typedef struct { long double x; char c; } __Pyx_pad_longdouble; typedef struct { void *x; char c; } __Pyx_pad_void_p; #ifdef HAVE_LONG_LONG typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; #endif static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) { switch (ch) { case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); #ifdef HAVE_LONG_LONG case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); #endif case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); default: __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { switch (ch) { case 'c': return 'H'; case 'b': case 'h': case 'i': case 'l': case 'q': case 's': case 'p': return 'I'; case 'B': case 'H': case 'I': case 'L': case 'Q': return 'U'; case 'f': case 'd': case 'g': return (is_complex ? 'C' : 'R'); case 'O': return 'O'; case 'P': return 'P'; default: { __Pyx_BufFmt_RaiseUnexpectedChar(ch); return 0; } } } static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { if (ctx->head == NULL || ctx->head->field == &ctx->root) { const char* expected; const char* quote; if (ctx->head == NULL) { expected = "end"; quote = ""; } else { expected = ctx->head->field->type->name; quote = "'"; } PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected %s%s%s but got %s", quote, expected, quote, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); } else { __Pyx_StructField* field = ctx->head->field; __Pyx_StructField* parent = (ctx->head - 1)->field; PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), parent->type->name, field->name); } } static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { char group; size_t size, offset, arraysize = 1; if (ctx->enc_type == 0) return 0; if (ctx->head->field->type->arraysize[0]) { int i, ndim = 0; if (ctx->enc_type == 's' || ctx->enc_type == 'p') { ctx->is_valid_array = ctx->head->field->type->ndim == 1; ndim = 1; if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %zu", ctx->head->field->type->arraysize[0], ctx->enc_count); return -1; } } if (!ctx->is_valid_array) { PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", ctx->head->field->type->ndim, ndim); return -1; } for (i = 0; i < ctx->head->field->type->ndim; i++) { arraysize *= ctx->head->field->type->arraysize[i]; } ctx->is_valid_array = 0; ctx->enc_count = 1; } group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); do { __Pyx_StructField* field = ctx->head->field; __Pyx_TypeInfo* type = field->type; if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); } else { size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); } if (ctx->enc_packmode == '@') { size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); size_t align_mod_offset; if (align_at == 0) return -1; align_mod_offset = ctx->fmt_offset % align_at; if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; if (ctx->struct_alignment == 0) ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, ctx->is_complex); } if (type->size != size || type->typegroup != group) { if (type->typegroup == 'C' && type->fields != NULL) { size_t parent_offset = ctx->head->parent_offset + field->offset; ++ctx->head; ctx->head->field = type->fields; ctx->head->parent_offset = parent_offset; continue; } if ((type->typegroup == 'H' || group == 'H') && type->size == size) { } else { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } } offset = ctx->head->parent_offset + field->offset; if (ctx->fmt_offset != offset) { PyErr_Format(PyExc_ValueError, "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); return -1; } ctx->fmt_offset += size; if (arraysize) ctx->fmt_offset += (arraysize - 1) * size; --ctx->enc_count; /* Consume from buffer string */ while (1) { if (field == &ctx->root) { ctx->head = NULL; if (ctx->enc_count != 0) { __Pyx_BufFmt_RaiseExpected(ctx); return -1; } break; /* breaks both loops as ctx->enc_count == 0 */ } ctx->head->field = ++field; if (field->type == NULL) { --ctx->head; field = ctx->head->field; continue; } else if (field->type->typegroup == 'S') { size_t parent_offset = ctx->head->parent_offset + field->offset; if (field->type->fields->type == NULL) continue; /* empty struct */ field = field->type->fields; ++ctx->head; ctx->head->field = field; ctx->head->parent_offset = parent_offset; break; } else { break; } } } while (ctx->enc_count); ctx->enc_type = 0; ctx->is_complex = 0; return 0; } static CYTHON_INLINE PyObject * __pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) { const char *ts = *tsp; int i = 0, number; int ndim = ctx->head->field->type->ndim; ; ++ts; if (ctx->new_count != 1) { PyErr_SetString(PyExc_ValueError, "Cannot handle repeated arrays in format string"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; while (*ts && *ts != ')') { if (isspace(*ts)) continue; number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) return PyErr_Format(PyExc_ValueError, "Expected a dimension of size %zu, got %d", ctx->head->field->type->arraysize[i], number); if (*ts != ',' && *ts != ')') return PyErr_Format(PyExc_ValueError, "Expected a comma in format string, got '%c'", *ts); if (*ts == ',') ts++; i++; } if (i != ndim) return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", ctx->head->field->type->ndim, i); if (!*ts) { PyErr_SetString(PyExc_ValueError, "Unexpected end of format string, expected ')'"); return NULL; } ctx->is_valid_array = 1; ctx->new_count = 1; *tsp = ++ts; return Py_None; } static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { int got_Z = 0; while (1) { switch(*ts) { case 0: if (ctx->enc_type != 0 && ctx->head == NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; if (ctx->head != NULL) { __Pyx_BufFmt_RaiseExpected(ctx); return NULL; } return ts; case ' ': case 10: case 13: ++ts; break; case '<': if (!__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '>': case '!': if (__Pyx_IsLittleEndian()) { PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); return NULL; } ctx->new_packmode = '='; ++ts; break; case '=': case '@': case '^': ctx->new_packmode = *ts++; break; case 'T': /* substruct */ { const char* ts_after_sub; size_t i, struct_count = ctx->new_count; size_t struct_alignment = ctx->struct_alignment; ctx->new_count = 1; ++ts; if (*ts != '{') { PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); return NULL; } if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; /* Erase processed last struct element */ ctx->enc_count = 0; ctx->struct_alignment = 0; ++ts; ts_after_sub = ts; for (i = 0; i != struct_count; ++i) { ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); if (!ts_after_sub) return NULL; } ts = ts_after_sub; if (struct_alignment) ctx->struct_alignment = struct_alignment; } break; case '}': /* end of substruct; either repeat or move on */ { size_t alignment = ctx->struct_alignment; ++ts; if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_type = 0; /* Erase processed last struct element */ if (alignment && ctx->fmt_offset % alignment) { ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); } } return ts; case 'x': if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->fmt_offset += ctx->new_count; ctx->new_count = 1; ctx->enc_count = 0; ctx->enc_type = 0; ctx->enc_packmode = ctx->new_packmode; ++ts; break; case 'Z': got_Z = 1; ++ts; if (*ts != 'f' && *ts != 'd' && *ts != 'g') { __Pyx_BufFmt_RaiseUnexpectedChar('Z'); return NULL; } /* fall through */ case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': case 'l': case 'L': case 'q': case 'Q': case 'f': case 'd': case 'g': case 'O': case 's': case 'p': if (ctx->enc_type == *ts && got_Z == ctx->is_complex && ctx->enc_packmode == ctx->new_packmode) { ctx->enc_count += ctx->new_count; } else { if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; ctx->enc_count = ctx->new_count; ctx->enc_packmode = ctx->new_packmode; ctx->enc_type = *ts; ctx->is_complex = got_Z; } ++ts; ctx->new_count = 1; got_Z = 0; break; case ':': ++ts; while(*ts != ':') ++ts; ++ts; break; case '(': if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL; break; default: { int number = __Pyx_BufFmt_ExpectNumber(&ts); if (number == -1) return NULL; ctx->new_count = (size_t)number; } } } } static CYTHON_INLINE void __Pyx_ZeroBuffer(Py_buffer* buf) { buf->buf = NULL; buf->obj = NULL; buf->strides = __Pyx_zeros; buf->shape = __Pyx_zeros; buf->suboffsets = __Pyx_minusones; } static CYTHON_INLINE int __Pyx_GetBufferAndValidate( Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack) { if (obj == Py_None || obj == NULL) { __Pyx_ZeroBuffer(buf); return 0; } buf->buf = NULL; if (__Pyx_GetBuffer(obj, buf, flags) == -1) goto fail; if (buf->ndim != nd) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", nd, buf->ndim); goto fail; } if (!cast) { __Pyx_BufFmt_Context ctx; __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned)buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones; return 0; fail:; __Pyx_ZeroBuffer(buf); return -1; } static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) { if (info->buf == NULL) return; if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL; __Pyx_ReleaseBuffer(info); } static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) { PyObject *result; #if CYTHON_COMPILING_IN_CPYTHON result = PyDict_GetItem(__pyx_d, name); if (result) { Py_INCREF(result); } else { #else result = PyObject_GetItem(__pyx_d, name); if (!result) { PyErr_Clear(); #endif result = __Pyx_GetBuiltinName(name); } return result; } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) { PyObject *r; if (!j) return NULL; r = PyObject_GetItem(o, j); Py_DECREF(j); return r; } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyList_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyList_GET_SIZE(o)))) { PyObject *r = PyList_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, int wraparound, int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (wraparound & unlikely(i < 0)) i += PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((0 <= i) & (i < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, i); Py_INCREF(r); return r; } return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); #else return PySequence_GetItem(o, i); #endif } static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list, int wraparound, int boundscheck) { #if CYTHON_COMPILING_IN_CPYTHON if (is_list || PyList_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) { PyObject *r = PyList_GET_ITEM(o, n); Py_INCREF(r); return r; } } else if (PyTuple_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, n); Py_INCREF(r); return r; } } else { PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence; if (likely(m && m->sq_item)) { if (wraparound && unlikely(i < 0) && likely(m->sq_length)) { Py_ssize_t l = m->sq_length(o); if (likely(l >= 0)) { i += l; } else { if (PyErr_ExceptionMatches(PyExc_OverflowError)) PyErr_Clear(); else return NULL; } } return m->sq_item(o, i); } } #else if (is_list || PySequence_Check(o)) { return PySequence_GetItem(o, i); } #endif return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i)); } static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) { #if CYTHON_COMPILING_IN_CPYTHON PyObject *tmp_type, *tmp_value, *tmp_tb; PyThreadState *tstate = PyThreadState_GET(); tmp_type = tstate->curexc_type; tmp_value = tstate->curexc_value; tmp_tb = tstate->curexc_traceback; tstate->curexc_type = type; tstate->curexc_value = value; tstate->curexc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); #else PyErr_Restore(type, value, tb); #endif } static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) { #if CYTHON_COMPILING_IN_CPYTHON PyThreadState *tstate = PyThreadState_GET(); *type = tstate->curexc_type; *value = tstate->curexc_value; *tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; #else PyErr_Fetch(type, value, tb); #endif } #if PY_MAJOR_VERSION < 3 static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, CYTHON_UNUSED PyObject *cause) { Py_XINCREF(type); if (!value || value == Py_None) value = NULL; else Py_INCREF(value); if (!tb || tb == Py_None) tb = NULL; else { Py_INCREF(tb); if (!PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto raise_error; } } #if PY_VERSION_HEX < 0x02050000 if (PyClass_Check(type)) { #else if (PyType_Check(type)) { #endif #if CYTHON_COMPILING_IN_PYPY if (!value) { Py_INCREF(Py_None); value = Py_None; } #endif PyErr_NormalizeException(&type, &value, &tb); } else { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto raise_error; } value = type; #if PY_VERSION_HEX < 0x02050000 if (PyInstance_Check(type)) { type = (PyObject*) ((PyInstanceObject*)type)->in_class; Py_INCREF(type); } else { type = 0; PyErr_SetString(PyExc_TypeError, "raise: exception must be an old-style class or instance"); goto raise_error; } #else type = (PyObject*) Py_TYPE(type); Py_INCREF(type); if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto raise_error; } #endif } __Pyx_ErrRestore(type, value, tb); return; raise_error: Py_XDECREF(value); Py_XDECREF(type); Py_XDECREF(tb); return; } #else /* Python 3+ */ static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { PyObject* owned_instance = NULL; if (tb == Py_None) { tb = 0; } else if (tb && !PyTraceBack_Check(tb)) { PyErr_SetString(PyExc_TypeError, "raise: arg 3 must be a traceback or None"); goto bad; } if (value == Py_None) value = 0; if (PyExceptionInstance_Check(type)) { if (value) { PyErr_SetString(PyExc_TypeError, "instance exception may not have a separate value"); goto bad; } value = type; type = (PyObject*) Py_TYPE(value); } else if (PyExceptionClass_Check(type)) { PyObject *args; if (!value) args = PyTuple_New(0); else if (PyTuple_Check(value)) { Py_INCREF(value); args = value; } else args = PyTuple_Pack(1, value); if (!args) goto bad; owned_instance = PyEval_CallObject(type, args); Py_DECREF(args); if (!owned_instance) goto bad; value = owned_instance; if (!PyExceptionInstance_Check(value)) { PyErr_Format(PyExc_TypeError, "calling %R should have returned an instance of " "BaseException, not %R", type, Py_TYPE(value)); goto bad; } } else { PyErr_SetString(PyExc_TypeError, "raise: exception class must be a subclass of BaseException"); goto bad; } #if PY_VERSION_HEX >= 0x03030000 if (cause) { #else if (cause && cause != Py_None) { #endif PyObject *fixed_cause; if (cause == Py_None) { fixed_cause = NULL; } else if (PyExceptionClass_Check(cause)) { fixed_cause = PyObject_CallObject(cause, NULL); if (fixed_cause == NULL) goto bad; } else if (PyExceptionInstance_Check(cause)) { fixed_cause = cause; Py_INCREF(fixed_cause); } else { PyErr_SetString(PyExc_TypeError, "exception causes must derive from " "BaseException"); goto bad; } PyException_SetCause(value, fixed_cause); } PyErr_SetObject(type, value); if (tb) { PyThreadState *tstate = PyThreadState_GET(); PyObject* tmp_tb = tstate->curexc_traceback; if (tb != tmp_tb) { Py_INCREF(tb); tstate->curexc_traceback = tb; Py_XDECREF(tmp_tb); } } bad: Py_XDECREF(owned_instance); return; } #endif static int __Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview, int ndim, __Pyx_memviewslice *memviewslice, int memview_is_new_reference) { __Pyx_RefNannyDeclarations int i, retval=-1; Py_buffer *buf = &memview->view; __Pyx_RefNannySetupContext("init_memviewslice", 0); if (!buf) { PyErr_SetString(PyExc_ValueError, "buf is NULL."); goto fail; } else if (memviewslice->memview || memviewslice->data) { PyErr_SetString(PyExc_ValueError, "memviewslice is already initialized!"); goto fail; } if (buf->strides) { for (i = 0; i < ndim; i++) { memviewslice->strides[i] = buf->strides[i]; } } else { Py_ssize_t stride = buf->itemsize; for (i = ndim - 1; i >= 0; i--) { memviewslice->strides[i] = stride; stride *= buf->shape[i]; } } for (i = 0; i < ndim; i++) { memviewslice->shape[i] = buf->shape[i]; if (buf->suboffsets) { memviewslice->suboffsets[i] = buf->suboffsets[i]; } else { memviewslice->suboffsets[i] = -1; } } memviewslice->memview = memview; memviewslice->data = (char *)buf->buf; if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) { Py_INCREF(memview); } retval = 0; goto no_fail; fail: memviewslice->memview = 0; memviewslice->data = 0; retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } static CYTHON_INLINE void __pyx_fatalerror(const char *fmt, ...) { va_list vargs; char msg[200]; va_start(vargs, fmt); #ifdef HAVE_STDARG_PROTOTYPES va_start(vargs, fmt); #else va_start(vargs); #endif vsnprintf(msg, 200, fmt, vargs); Py_FatalError(msg); va_end(vargs); } static CYTHON_INLINE int __pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)++; PyThread_release_lock(lock); return result; } static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count, PyThread_type_lock lock) { int result; PyThread_acquire_lock(lock, 1); result = (*acquisition_count)--; PyThread_release_lock(lock); return result; } static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int first_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview || (PyObject *) memview == Py_None) return; /* allow uninitialized memoryview assignment */ if (__pyx_get_slice_count(memview) < 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); first_time = __pyx_add_acquisition_count(memview) == 0; if (first_time) { if (have_gil) { Py_INCREF((PyObject *) memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_INCREF((PyObject *) memview); PyGILState_Release(_gilstate); } } } static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno) { int last_time; struct __pyx_memoryview_obj *memview = memslice->memview; if (!memview ) { return; } else if ((PyObject *) memview == Py_None) { memslice->memview = NULL; return; } if (__pyx_get_slice_count(memview) <= 0) __pyx_fatalerror("Acquisition count is %d (line %d)", __pyx_get_slice_count(memview), lineno); last_time = __pyx_sub_acquisition_count(memview) == 1; memslice->data = NULL; if (last_time) { if (have_gil) { Py_CLEAR(memslice->memview); } else { PyGILState_STATE _gilstate = PyGILState_Ensure(); Py_CLEAR(memslice->memview); PyGILState_Release(_gilstate); } } else { memslice->memview = NULL; } } static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { PyErr_Format(PyExc_ValueError, "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); } static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { PyErr_Format(PyExc_ValueError, "need more than %" CYTHON_FORMAT_SSIZE_T "d value%s to unpack", index, (index == 1) ? "" : "s"); } static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); } static CYTHON_INLINE int __Pyx_IterFinish(void) { #if CYTHON_COMPILING_IN_CPYTHON PyThreadState *tstate = PyThreadState_GET(); PyObject* exc_type = tstate->curexc_type; if (unlikely(exc_type)) { if (likely(exc_type == PyExc_StopIteration) || PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration)) { PyObject *exc_value, *exc_tb; exc_value = tstate->curexc_value; exc_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; Py_DECREF(exc_type); Py_XDECREF(exc_value); Py_XDECREF(exc_tb); return 0; } else { return -1; } } return 0; #else if (unlikely(PyErr_Occurred())) { if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) { PyErr_Clear(); return 0; } else { return -1; } } return 0; #endif } static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) { if (unlikely(retval)) { Py_DECREF(retval); __Pyx_RaiseTooManyValuesError(expected); return -1; } else { return __Pyx_IterFinish(); } return 0; } static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { if (unlikely(!type)) { PyErr_Format(PyExc_SystemError, "Missing type object"); return 0; } if (likely(PyObject_TypeCheck(obj, type))) return 1; PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s", Py_TYPE(obj)->tp_name, type->tp_name); return 0; } static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) { #if CYTHON_COMPILING_IN_CPYTHON #if PY_MAJOR_VERSION >= 3 if (likely(PyUnicode_Check(n))) #else if (likely(PyString_Check(n))) #endif return __Pyx_PyObject_GetAttrStr(o, n); #endif return PyObject_GetAttr(o, n); } static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) { PyObject *r = __Pyx_GetAttr(o, n); if (!r) { if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; PyErr_Clear(); r = d; Py_INCREF(d); } return r; bad: return NULL; } static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) { Py_ssize_t q = a / b; Py_ssize_t r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { #if CYTHON_COMPILING_IN_PYPY return PyObject_RichCompareBool(s1, s2, equals); #else if (s1 == s2) { return (equals == Py_EQ); } else if (PyUnicode_CheckExact(s1) & PyUnicode_CheckExact(s2)) { #if CYTHON_PEP393_ENABLED if ((PyUnicode_READY(s1) < 0) || (PyUnicode_READY(s2) < 0)) return -1; if (PyUnicode_GET_LENGTH(s1) != PyUnicode_GET_LENGTH(s2)) { return (equals == Py_NE); } else if (PyUnicode_GET_LENGTH(s1) == 1) { Py_UCS4 ch1 = PyUnicode_READ_CHAR(s1, 0); Py_UCS4 ch2 = PyUnicode_READ_CHAR(s2, 0); return (equals == Py_EQ) ? (ch1 == ch2) : (ch1 != ch2); #else if (PyUnicode_GET_SIZE(s1) != PyUnicode_GET_SIZE(s2)) { return (equals == Py_NE); } else if (PyUnicode_GET_SIZE(s1) == 1) { Py_UNICODE ch1 = PyUnicode_AS_UNICODE(s1)[0]; Py_UNICODE ch2 = PyUnicode_AS_UNICODE(s2)[0]; return (equals == Py_EQ) ? (ch1 == ch2) : (ch1 != ch2); #endif } else { int result = PyUnicode_Compare(s1, s2); if ((result == -1) && unlikely(PyErr_Occurred())) return -1; return (equals == Py_EQ) ? (result == 0) : (result != 0); } } else if ((s1 == Py_None) & PyUnicode_CheckExact(s2)) { return (equals == Py_NE); } else if ((s2 == Py_None) & PyUnicode_CheckExact(s1)) { return (equals == Py_NE); } else { int result; PyObject* py_result = PyObject_RichCompare(s1, s2, equals); if (!py_result) return -1; result = __Pyx_PyObject_IsTrue(py_result); Py_DECREF(py_result); return result; } #endif } static CYTHON_INLINE PyObject* __Pyx_decode_c_string( const char* cstring, Py_ssize_t start, Py_ssize_t stop, const char* encoding, const char* errors, PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) { Py_ssize_t length; if (unlikely((start < 0) | (stop < 0))) { length = strlen(cstring); if (start < 0) { start += length; if (start < 0) start = 0; } if (stop < 0) stop += length; } length = stop - start; if (unlikely(length <= 0)) return PyUnicode_FromUnicode(NULL, 0); cstring += start; if (decode_func) { return decode_func(cstring, length, errors); } else { return PyUnicode_Decode(cstring, length, encoding, errors); } } static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) { PyObject *local_type, *local_value, *local_tb; #if CYTHON_COMPILING_IN_CPYTHON PyObject *tmp_type, *tmp_value, *tmp_tb; PyThreadState *tstate = PyThreadState_GET(); local_type = tstate->curexc_type; local_value = tstate->curexc_value; local_tb = tstate->curexc_traceback; tstate->curexc_type = 0; tstate->curexc_value = 0; tstate->curexc_traceback = 0; #else PyErr_Fetch(&local_type, &local_value, &local_tb); #endif PyErr_NormalizeException(&local_type, &local_value, &local_tb); #if CYTHON_COMPILING_IN_CPYTHON if (unlikely(tstate->curexc_type)) #else if (unlikely(PyErr_Occurred())) #endif goto bad; #if PY_MAJOR_VERSION >= 3 if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) goto bad; #endif Py_INCREF(local_type); Py_INCREF(local_value); Py_INCREF(local_tb); *type = local_type; *value = local_value; *tb = local_tb; #if CYTHON_COMPILING_IN_CPYTHON tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = local_type; tstate->exc_value = local_value; tstate->exc_traceback = local_tb; /* Make sure tstate is in a consistent state when we XDECREF these objects (DECREF may run arbitrary code). */ Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); #else PyErr_SetExcInfo(local_type, local_value, local_tb); #endif return 0; bad: *type = 0; *value = 0; *tb = 0; Py_XDECREF(local_type); Py_XDECREF(local_value); Py_XDECREF(local_tb); return -1; } static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); } static CYTHON_INLINE long __Pyx_div_long(long a, long b) { long q = a / b; long r = a - q*b; q -= ((r != 0) & ((r ^ b) < 0)); return q; } static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename) { PyObject *old_exc, *old_val, *old_tb; PyObject *ctx; __Pyx_ErrFetch(&old_exc, &old_val, &old_tb); #if PY_MAJOR_VERSION < 3 ctx = PyString_FromString(name); #else ctx = PyUnicode_FromString(name); #endif __Pyx_ErrRestore(old_exc, old_val, old_tb); if (!ctx) { PyErr_WriteUnraisable(Py_None); } else { PyErr_WriteUnraisable(ctx); Py_DECREF(ctx); } } static int __Pyx_SetVtable(PyObject *dict, void *vtable) { #if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION==3&&PY_MINOR_VERSION==0) PyObject *ob = PyCapsule_New(vtable, 0, 0); #else PyObject *ob = PyCObject_FromVoidPtr(vtable, 0); #endif if (!ob) goto bad; if (PyDict_SetItem(dict, __pyx_n_s____pyx_vtable__, ob) < 0) goto bad; Py_DECREF(ob); return 0; bad: Py_XDECREF(ob); return -1; } #if PY_MAJOR_VERSION < 3 static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { #if PY_VERSION_HEX >= 0x02060000 if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); #endif if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags); if (PyObject_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags); #if PY_VERSION_HEX < 0x02060000 if (obj->ob_type->tp_dict) { PyObject *getbuffer_cobj = PyObject_GetItem( obj->ob_type->tp_dict, __pyx_n_s____pyx_getbuffer); if (getbuffer_cobj) { getbufferproc func = (getbufferproc) PyCObject_AsVoidPtr(getbuffer_cobj); Py_DECREF(getbuffer_cobj); if (!func) goto fail; return func(obj, view, flags); } else { PyErr_Clear(); } } #endif PyErr_Format(PyExc_TypeError, "'%100s' does not have the buffer interface", Py_TYPE(obj)->tp_name); #if PY_VERSION_HEX < 0x02060000 fail: #endif return -1; } static void __Pyx_ReleaseBuffer(Py_buffer *view) { PyObject *obj = view->obj; if (!obj) return; #if PY_VERSION_HEX >= 0x02060000 if (PyObject_CheckBuffer(obj)) { PyBuffer_Release(view); return; } #endif if (PyObject_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) { __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); return; } #if PY_VERSION_HEX < 0x02060000 if (obj->ob_type->tp_dict) { PyObject *releasebuffer_cobj = PyObject_GetItem( obj->ob_type->tp_dict, __pyx_n_s____pyx_releasebuffer); if (releasebuffer_cobj) { releasebufferproc func = (releasebufferproc) PyCObject_AsVoidPtr(releasebuffer_cobj); Py_DECREF(releasebuffer_cobj); if (!func) goto fail; func(obj, view); return; } else { PyErr_Clear(); } } #endif goto nofail; #if PY_VERSION_HEX < 0x02060000 fail: #endif PyErr_WriteUnraisable(obj); nofail: Py_DECREF(obj); view->obj = NULL; } #endif /* PY_MAJOR_VERSION < 3 */ static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { PyObject *empty_list = 0; PyObject *module = 0; PyObject *global_dict = 0; PyObject *empty_dict = 0; PyObject *list; #if PY_VERSION_HEX < 0x03030000 PyObject *py_import; py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s____import__); if (!py_import) goto bad; #endif if (from_list) list = from_list; else { empty_list = PyList_New(0); if (!empty_list) goto bad; list = empty_list; } global_dict = PyModule_GetDict(__pyx_m); if (!global_dict) goto bad; empty_dict = PyDict_New(); if (!empty_dict) goto bad; #if PY_VERSION_HEX >= 0x02050000 { #if PY_MAJOR_VERSION >= 3 if (level == -1) { if (strchr(__Pyx_MODULE_NAME, '.')) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(1); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, 1); #endif if (!module) { if (!PyErr_ExceptionMatches(PyExc_ImportError)) goto bad; PyErr_Clear(); } } level = 0; /* try absolute import on failure */ } #endif if (!module) { #if PY_VERSION_HEX < 0x03030000 PyObject *py_level = PyInt_FromLong(level); if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( name, global_dict, empty_dict, list, level); #endif } } #else if (level>0) { PyErr_SetString(PyExc_RuntimeError, "Relative import is not supported for Python <=2.4."); goto bad; } module = PyObject_CallFunctionObjArgs(py_import, name, global_dict, empty_dict, list, NULL); #endif bad: #if PY_VERSION_HEX < 0x03030000 Py_XDECREF(py_import); #endif Py_XDECREF(empty_list); Py_XDECREF(empty_dict); return module; } #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return ::std::complex< float >(x, y); } #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { return x + y*(__pyx_t_float_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { __pyx_t_float_complex z; z.real = x; z.imag = y; return z; } #endif #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eqf(__pyx_t_float_complex a, __pyx_t_float_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sumf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_difff(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prodf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quotf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_negf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zerof(__pyx_t_float_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conjf(__pyx_t_float_complex a) { __pyx_t_float_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE float __Pyx_c_absf(__pyx_t_float_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrtf(z.real*z.real + z.imag*z.imag); #else return hypotf(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_powf(__pyx_t_float_complex a, __pyx_t_float_complex b) { __pyx_t_float_complex z; float r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { float denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(a, a); case 3: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, a); case 4: z = __Pyx_c_prodf(a, a); return __Pyx_c_prodf(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_absf(a); theta = atan2f(a.imag, a.real); } lnr = logf(r); z_r = expf(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cosf(z_theta); z.imag = z_r * sinf(z_theta); return z; } #endif #endif #if CYTHON_CCOMPLEX #ifdef __cplusplus static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return ::std::complex< double >(x, y); } #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { return x + y*(__pyx_t_double_complex)_Complex_I; } #endif #else static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { __pyx_t_double_complex z; z.real = x; z.imag = y; return z; } #endif #if CYTHON_CCOMPLEX #else static CYTHON_INLINE int __Pyx_c_eq(__pyx_t_double_complex a, __pyx_t_double_complex b) { return (a.real == b.real) && (a.imag == b.imag); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real + b.real; z.imag = a.imag + b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real - b.real; z.imag = a.imag - b.imag; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; z.real = a.real * b.real - a.imag * b.imag; z.imag = a.real * b.imag + a.imag * b.real; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double denom = b.real * b.real + b.imag * b.imag; z.real = (a.real * b.real + a.imag * b.imag) / denom; z.imag = (a.imag * b.real - a.real * b.imag) / denom; return z; } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = -a.real; z.imag = -a.imag; return z; } static CYTHON_INLINE int __Pyx_c_is_zero(__pyx_t_double_complex a) { return (a.real == 0) && (a.imag == 0); } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj(__pyx_t_double_complex a) { __pyx_t_double_complex z; z.real = a.real; z.imag = -a.imag; return z; } #if 1 static CYTHON_INLINE double __Pyx_c_abs(__pyx_t_double_complex z) { #if !defined(HAVE_HYPOT) || defined(_MSC_VER) return sqrt(z.real*z.real + z.imag*z.imag); #else return hypot(z.real, z.imag); #endif } static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow(__pyx_t_double_complex a, __pyx_t_double_complex b) { __pyx_t_double_complex z; double r, lnr, theta, z_r, z_theta; if (b.imag == 0 && b.real == (int)b.real) { if (b.real < 0) { double denom = a.real * a.real + a.imag * a.imag; a.real = a.real / denom; a.imag = -a.imag / denom; b.real = -b.real; } switch ((int)b.real) { case 0: z.real = 1; z.imag = 0; return z; case 1: return a; case 2: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(a, a); case 3: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, a); case 4: z = __Pyx_c_prod(a, a); return __Pyx_c_prod(z, z); } } if (a.imag == 0) { if (a.real == 0) { return a; } r = a.real; theta = 0; } else { r = __Pyx_c_abs(a); theta = atan2(a.imag, a.real); } lnr = log(r); z_r = exp(lnr * b.real - theta * b.imag); z_theta = theta * b.real + lnr * b.imag; z.real = z_r * cos(z_theta); z.imag = z_r * sin(z_theta); return z; } #endif #endif static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice *mvs, char order, int ndim) { int i, index, step, start; Py_ssize_t itemsize = mvs->memview->view.itemsize; if (order == 'F') { step = 1; start = 0; } else { step = -1; start = ndim - 1; } for (i = 0; i < ndim; i++) { index = start + step * i; if (mvs->suboffsets[index] >= 0 || mvs->strides[index] != itemsize) return 0; itemsize *= mvs->shape[index]; } return 1; } static void __pyx_get_array_memory_extents(__Pyx_memviewslice *slice, void **out_start, void **out_end, int ndim, size_t itemsize) { char *start, *end; int i; start = end = slice->data; for (i = 0; i < ndim; i++) { Py_ssize_t stride = slice->strides[i]; Py_ssize_t extent = slice->shape[i]; if (extent == 0) { *out_start = *out_end = start; return; } else { if (stride > 0) end += stride * (extent - 1); else start += stride * (extent - 1); } } *out_start = start; *out_end = end + itemsize; } static int __pyx_slices_overlap(__Pyx_memviewslice *slice1, __Pyx_memviewslice *slice2, int ndim, size_t itemsize) { void *start1, *end1, *start2, *end2; __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize); __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize); return (start1 < end2) && (start2 < end1); } static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, int dtype_is_object) { __Pyx_RefNannyDeclarations int i; __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } }; struct __pyx_memoryview_obj *from_memview = from_mvs->memview; Py_buffer *buf = &from_memview->view; PyObject *shape_tuple = NULL; PyObject *temp_int = NULL; struct __pyx_array_obj *array_obj = NULL; struct __pyx_memoryview_obj *memview_obj = NULL; __Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0); for (i = 0; i < ndim; i++) { if (from_mvs->suboffsets[i] >= 0) { PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with " "indirect dimensions (axis %d)", i); goto fail; } } shape_tuple = PyTuple_New(ndim); if (unlikely(!shape_tuple)) { goto fail; } __Pyx_GOTREF(shape_tuple); for(i = 0; i < ndim; i++) { temp_int = PyInt_FromLong(from_mvs->shape[i]); if(unlikely(!temp_int)) { goto fail; } else { PyTuple_SET_ITEM(shape_tuple, i, temp_int); temp_int = NULL; } } array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL); if (unlikely(!array_obj)) { goto fail; } __Pyx_GOTREF(array_obj); memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( (PyObject *) array_obj, contig_flag, dtype_is_object, from_mvs->memview->typeinfo); if (unlikely(!memview_obj)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0)) goto fail; if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim, dtype_is_object) < 0)) goto fail; goto no_fail; fail: __Pyx_XDECREF(new_mvs.memview); new_mvs.memview = NULL; new_mvs.data = NULL; no_fail: __Pyx_XDECREF(shape_tuple); __Pyx_XDECREF(temp_int); __Pyx_XDECREF(array_obj); __Pyx_RefNannyFinishContext(); return new_mvs; } static CYTHON_INLINE PyObject * __pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) { PyObject *cobj; #if PY_VERSION_HEX >= 0x02070000 && !(PY_MAJOR_VERSION == 3 && PY_MINOR_VERSION == 0) cobj = PyCapsule_New(p, sig, NULL); #else cobj = PyCObject_FromVoidPtr(p, NULL); #endif return cobj; } static CYTHON_INLINE void __Pyx_ExceptionSave(PyObject **type, PyObject **value, PyObject **tb) { #if CYTHON_COMPILING_IN_CPYTHON PyThreadState *tstate = PyThreadState_GET(); *type = tstate->exc_type; *value = tstate->exc_value; *tb = tstate->exc_traceback; Py_XINCREF(*type); Py_XINCREF(*value); Py_XINCREF(*tb); #else PyErr_GetExcInfo(type, value, tb); #endif } static void __Pyx_ExceptionReset(PyObject *type, PyObject *value, PyObject *tb) { #if CYTHON_COMPILING_IN_CPYTHON PyObject *tmp_type, *tmp_value, *tmp_tb; PyThreadState *tstate = PyThreadState_GET(); tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; tmp_tb = tstate->exc_traceback; tstate->exc_type = type; tstate->exc_value = value; tstate->exc_traceback = tb; Py_XDECREF(tmp_type); Py_XDECREF(tmp_value); Py_XDECREF(tmp_tb); #else PyErr_SetExcInfo(type, value, tb); #endif } static CYTHON_INLINE unsigned char __Pyx_PyInt_AsUnsignedChar(PyObject* x) { const unsigned char neg_one = (unsigned char)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(unsigned char) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(unsigned char)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to unsigned char" : "value too large to convert to unsigned char"); } return (unsigned char)-1; } return (unsigned char)val; } return (unsigned char)__Pyx_PyInt_AsUnsignedLong(x); } static CYTHON_INLINE unsigned short __Pyx_PyInt_AsUnsignedShort(PyObject* x) { const unsigned short neg_one = (unsigned short)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(unsigned short) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(unsigned short)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to unsigned short" : "value too large to convert to unsigned short"); } return (unsigned short)-1; } return (unsigned short)val; } return (unsigned short)__Pyx_PyInt_AsUnsignedLong(x); } static CYTHON_INLINE unsigned int __Pyx_PyInt_AsUnsignedInt(PyObject* x) { const unsigned int neg_one = (unsigned int)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(unsigned int) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(unsigned int)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to unsigned int" : "value too large to convert to unsigned int"); } return (unsigned int)-1; } return (unsigned int)val; } return (unsigned int)__Pyx_PyInt_AsUnsignedLong(x); } static CYTHON_INLINE char __Pyx_PyInt_AsChar(PyObject* x) { const char neg_one = (char)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(char) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(char)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to char" : "value too large to convert to char"); } return (char)-1; } return (char)val; } return (char)__Pyx_PyInt_AsLong(x); } static CYTHON_INLINE short __Pyx_PyInt_AsShort(PyObject* x) { const short neg_one = (short)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(short) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(short)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to short" : "value too large to convert to short"); } return (short)-1; } return (short)val; } return (short)__Pyx_PyInt_AsLong(x); } static CYTHON_INLINE int __Pyx_PyInt_AsInt(PyObject* x) { const int neg_one = (int)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(int) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(int)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to int" : "value too large to convert to int"); } return (int)-1; } return (int)val; } return (int)__Pyx_PyInt_AsLong(x); } static CYTHON_INLINE signed char __Pyx_PyInt_AsSignedChar(PyObject* x) { const signed char neg_one = (signed char)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(signed char) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(signed char)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to signed char" : "value too large to convert to signed char"); } return (signed char)-1; } return (signed char)val; } return (signed char)__Pyx_PyInt_AsSignedLong(x); } static CYTHON_INLINE signed short __Pyx_PyInt_AsSignedShort(PyObject* x) { const signed short neg_one = (signed short)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(signed short) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(signed short)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to signed short" : "value too large to convert to signed short"); } return (signed short)-1; } return (signed short)val; } return (signed short)__Pyx_PyInt_AsSignedLong(x); } static CYTHON_INLINE signed int __Pyx_PyInt_AsSignedInt(PyObject* x) { const signed int neg_one = (signed int)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(signed int) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(signed int)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to signed int" : "value too large to convert to signed int"); } return (signed int)-1; } return (signed int)val; } return (signed int)__Pyx_PyInt_AsSignedLong(x); } static CYTHON_INLINE int __Pyx_PyInt_AsLongDouble(PyObject* x) { const int neg_one = (int)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; if (sizeof(int) < sizeof(long)) { long val = __Pyx_PyInt_AsLong(x); if (unlikely(val != (long)(int)val)) { if (!unlikely(val == -1 && PyErr_Occurred())) { PyErr_SetString(PyExc_OverflowError, (is_unsigned && unlikely(val < 0)) ? "can't convert negative value to int" : "value too large to convert to int"); } return (int)-1; } return (int)val; } return (int)__Pyx_PyInt_AsLong(x); } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE unsigned long __Pyx_PyInt_AsUnsignedLong(PyObject* x) { const unsigned long neg_one = (unsigned long)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned long"); return (unsigned long)-1; } return (unsigned long)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(unsigned long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (unsigned long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned long"); return (unsigned long)-1; } return (unsigned long)PyLong_AsUnsignedLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(unsigned long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(unsigned long) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(unsigned long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (unsigned long)PyLong_AsLong(x); } } else { unsigned long val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (unsigned long)-1; val = __Pyx_PyInt_AsUnsignedLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_AsUnsignedLongLong(PyObject* x) { const unsigned PY_LONG_LONG neg_one = (unsigned PY_LONG_LONG)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned PY_LONG_LONG"); return (unsigned PY_LONG_LONG)-1; } return (unsigned PY_LONG_LONG)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(unsigned PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (unsigned PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to unsigned PY_LONG_LONG"); return (unsigned PY_LONG_LONG)-1; } return (unsigned PY_LONG_LONG)PyLong_AsUnsignedLongLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(unsigned PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(unsigned PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(unsigned PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (unsigned PY_LONG_LONG)PyLong_AsLongLong(x); } } else { unsigned PY_LONG_LONG val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (unsigned PY_LONG_LONG)-1; val = __Pyx_PyInt_AsUnsignedLongLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE long __Pyx_PyInt_AsLong(PyObject* x) { const long neg_one = (long)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to long"); return (long)-1; } return (long)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to long"); return (long)-1; } return (long)PyLong_AsUnsignedLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(long) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (long)PyLong_AsLong(x); } } else { long val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (long)-1; val = __Pyx_PyInt_AsLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_AsLongLong(PyObject* x) { const PY_LONG_LONG neg_one = (PY_LONG_LONG)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to PY_LONG_LONG"); return (PY_LONG_LONG)-1; } return (PY_LONG_LONG)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to PY_LONG_LONG"); return (PY_LONG_LONG)-1; } return (PY_LONG_LONG)PyLong_AsUnsignedLongLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (PY_LONG_LONG)PyLong_AsLongLong(x); } } else { PY_LONG_LONG val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (PY_LONG_LONG)-1; val = __Pyx_PyInt_AsLongLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE signed long __Pyx_PyInt_AsSignedLong(PyObject* x) { const signed long neg_one = (signed long)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to signed long"); return (signed long)-1; } return (signed long)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(signed long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (signed long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to signed long"); return (signed long)-1; } return (signed long)PyLong_AsUnsignedLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(signed long)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(signed long) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(signed long) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (signed long)PyLong_AsLong(x); } } else { signed long val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (signed long)-1; val = __Pyx_PyInt_AsSignedLong(tmp); Py_DECREF(tmp); return val; } } #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS #include "longintrepr.h" #endif #endif static CYTHON_INLINE signed PY_LONG_LONG __Pyx_PyInt_AsSignedLongLong(PyObject* x) { const signed PY_LONG_LONG neg_one = (signed PY_LONG_LONG)-1, const_zero = 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to signed PY_LONG_LONG"); return (signed PY_LONG_LONG)-1; } return (signed PY_LONG_LONG)val; } else #endif if (likely(PyLong_Check(x))) { if (is_unsigned) { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(signed PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return (signed PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif if (unlikely(Py_SIZE(x) < 0)) { PyErr_SetString(PyExc_OverflowError, "can't convert negative value to signed PY_LONG_LONG"); return (signed PY_LONG_LONG)-1; } return (signed PY_LONG_LONG)PyLong_AsUnsignedLongLong(x); } else { #if CYTHON_COMPILING_IN_CPYTHON && PY_MAJOR_VERSION >= 3 #if CYTHON_USE_PYLONG_INTERNALS if (sizeof(digit) <= sizeof(signed PY_LONG_LONG)) { switch (Py_SIZE(x)) { case 0: return 0; case 1: return +(signed PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; case -1: return -(signed PY_LONG_LONG) ((PyLongObject*)x)->ob_digit[0]; } } #endif #endif return (signed PY_LONG_LONG)PyLong_AsLongLong(x); } } else { signed PY_LONG_LONG val; PyObject *tmp = __Pyx_PyNumber_Int(x); if (!tmp) return (signed PY_LONG_LONG)-1; val = __Pyx_PyInt_AsSignedLongLong(tmp); Py_DECREF(tmp); return val; } } static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) { int i; if (!a || !b) return 0; if (a == b) return 1; if (a->size != b->size || a->typegroup != b->typegroup || a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) { if (a->typegroup == 'H' || b->typegroup == 'H') { return a->size == b->size; } else { return 0; } } if (a->ndim) { for (i = 0; i < a->ndim; i++) if (a->arraysize[i] != b->arraysize[i]) return 0; } if (a->typegroup == 'S') { if (a->flags != b->flags) return 0; if (a->fields || b->fields) { if (!(a->fields && b->fields)) return 0; for (i = 0; a->fields[i].type && b->fields[i].type; i++) { __Pyx_StructField *field_a = a->fields + i; __Pyx_StructField *field_b = b->fields + i; if (field_a->offset != field_b->offset || !__pyx_typeinfo_cmp(field_a->type, field_b->type)) return 0; } return !a->fields[i].type && !b->fields[i].type; } } return 1; } static int __pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) { if (buf->shape[dim] <= 1) return 1; if (buf->strides) { if (spec & __Pyx_MEMVIEW_CONTIG) { if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) { if (buf->strides[dim] != sizeof(void *)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly contiguous " "in dimension %d.", dim); goto fail; } } else if (buf->strides[dim] != buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } if (spec & __Pyx_MEMVIEW_FOLLOW) { Py_ssize_t stride = buf->strides[dim]; if (stride < 0) stride = -stride; if (stride < buf->itemsize) { PyErr_SetString(PyExc_ValueError, "Buffer and memoryview are not contiguous " "in the same dimension."); goto fail; } } } else { if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not contiguous in " "dimension %d", dim); goto fail; } else if (spec & (__Pyx_MEMVIEW_PTR)) { PyErr_Format(PyExc_ValueError, "C-contiguous buffer is not indirect in " "dimension %d", dim); goto fail; } else if (buf->suboffsets) { PyErr_SetString(PyExc_ValueError, "Buffer exposes suboffsets but no strides"); goto fail; } } return 1; fail: return 0; } static int __pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec) { if (spec & __Pyx_MEMVIEW_DIRECT) { if (buf->suboffsets && buf->suboffsets[dim] >= 0) { PyErr_Format(PyExc_ValueError, "Buffer not compatible with direct access " "in dimension %d.", dim); goto fail; } } if (spec & __Pyx_MEMVIEW_PTR) { if (!buf->suboffsets || (buf->suboffsets && buf->suboffsets[dim] < 0)) { PyErr_Format(PyExc_ValueError, "Buffer is not indirectly accessisble " "in dimension %d.", dim); goto fail; } } return 1; fail: return 0; } static int __pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag) { int i; if (c_or_f_flag & __Pyx_IS_F_CONTIG) { Py_ssize_t stride = 1; for (i = 0; i < ndim; i++) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not fortran contiguous."); goto fail; } stride = stride * buf->shape[i]; } } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) { Py_ssize_t stride = 1; for (i = ndim - 1; i >- 1; i--) { if (stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1) { PyErr_SetString(PyExc_ValueError, "Buffer not C contiguous."); goto fail; } stride = stride * buf->shape[i]; } } return 1; fail: return 0; } static int __Pyx_ValidateAndInit_memviewslice( int *axes_specs, int c_or_f_flag, int buf_flags, int ndim, __Pyx_TypeInfo *dtype, __Pyx_BufFmt_StackElem stack[], __Pyx_memviewslice *memviewslice, PyObject *original_obj) { struct __pyx_memoryview_obj *memview, *new_memview; __Pyx_RefNannyDeclarations Py_buffer *buf; int i, spec = 0, retval = -1; __Pyx_BufFmt_Context ctx; int from_memoryview = __pyx_memoryview_check(original_obj); __Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0); if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *) original_obj)->typeinfo)) { memview = (struct __pyx_memoryview_obj *) original_obj; new_memview = NULL; } else { memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new( original_obj, buf_flags, 0, dtype); new_memview = memview; if (unlikely(!memview)) goto fail; } buf = &memview->view; if (buf->ndim != ndim) { PyErr_Format(PyExc_ValueError, "Buffer has wrong number of dimensions (expected %d, got %d)", ndim, buf->ndim); goto fail; } if (new_memview) { __Pyx_BufFmt_Init(&ctx, stack, dtype); if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; } if ((unsigned) buf->itemsize != dtype->size) { PyErr_Format(PyExc_ValueError, "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) " "does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)", buf->itemsize, (buf->itemsize > 1) ? "s" : "", dtype->name, dtype->size, (dtype->size > 1) ? "s" : ""); goto fail; } for (i = 0; i < ndim; i++) { spec = axes_specs[i]; if (!__pyx_check_strides(buf, i, ndim, spec)) goto fail; if (!__pyx_check_suboffsets(buf, i, ndim, spec)) goto fail; } if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)) goto fail; if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice, new_memview != NULL) == -1)) { goto fail; } retval = 0; goto no_fail; fail: Py_XDECREF(new_memview); retval = -1; no_fail: __Pyx_RefNannyFinishContext(); return retval; } static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_nn_coordT(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, PyBUF_RECORDS, 1, &__Pyx_TypeInfo_nn_coordT, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_unsigned_int(PyObject *obj) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; int retcode; if (obj == Py_None) { result.memview = (struct __pyx_memoryview_obj *) Py_None; return result; } retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0, PyBUF_RECORDS, 1, &__Pyx_TypeInfo_unsigned_int, stack, &result, obj); if (unlikely(retcode == -1)) goto __pyx_fail; return result; __pyx_fail: result.memview = NULL; result.data = NULL; return result; } static int __Pyx_check_binary_version(void) { char ctversion[4], rtversion[4]; PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) { char message[200]; PyOS_snprintf(message, sizeof(message), "compiletime version %s of module '%.100s' " "does not match runtime version %s", ctversion, __Pyx_MODULE_NAME, rtversion); #if PY_VERSION_HEX < 0x02050000 return PyErr_Warn(NULL, message); #else return PyErr_WarnEx(NULL, message, 1); #endif } return 0; } #ifndef __PYX_HAVE_RT_ImportModule #define __PYX_HAVE_RT_ImportModule static PyObject *__Pyx_ImportModule(const char *name) { PyObject *py_name = 0; PyObject *py_module = 0; py_name = __Pyx_PyIdentifier_FromString(name); if (!py_name) goto bad; py_module = PyImport_Import(py_name); Py_DECREF(py_name); return py_module; bad: Py_XDECREF(py_name); return 0; } #endif #ifndef __PYX_HAVE_RT_ImportType #define __PYX_HAVE_RT_ImportType static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict) { PyObject *py_module = 0; PyObject *result = 0; PyObject *py_name = 0; char warning[200]; Py_ssize_t basicsize; #ifdef Py_LIMITED_API PyObject *py_basicsize; #endif py_module = __Pyx_ImportModule(module_name); if (!py_module) goto bad; py_name = __Pyx_PyIdentifier_FromString(class_name); if (!py_name) goto bad; result = PyObject_GetAttr(py_module, py_name); Py_DECREF(py_name); py_name = 0; Py_DECREF(py_module); py_module = 0; if (!result) goto bad; if (!PyType_Check(result)) { PyErr_Format(PyExc_TypeError, "%s.%s is not a type object", module_name, class_name); goto bad; } #ifndef Py_LIMITED_API basicsize = ((PyTypeObject *)result)->tp_basicsize; #else py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); if (!py_basicsize) goto bad; basicsize = PyLong_AsSsize_t(py_basicsize); Py_DECREF(py_basicsize); py_basicsize = 0; if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) goto bad; #endif if (!strict && (size_t)basicsize > size) { PyOS_snprintf(warning, sizeof(warning), "%s.%s size changed, may indicate binary incompatibility", module_name, class_name); #if PY_VERSION_HEX < 0x02050000 if (PyErr_Warn(NULL, warning) < 0) goto bad; #else if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; #endif } else if ((size_t)basicsize != size) { PyErr_Format(PyExc_ValueError, "%s.%s has the wrong size, try recompiling", module_name, class_name); goto bad; } return (PyTypeObject *)result; bad: Py_XDECREF(py_module); Py_XDECREF(result); return NULL; } #endif static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { int start = 0, mid = 0, end = count - 1; if (end >= 0 && code_line > entries[end].code_line) { return count; } while (start < end) { mid = (start + end) / 2; if (code_line < entries[mid].code_line) { end = mid; } else if (code_line > entries[mid].code_line) { start = mid + 1; } else { return mid; } } if (code_line <= entries[mid].code_line) { return mid; } else { return mid + 1; } } static PyCodeObject *__pyx_find_code_object(int code_line) { PyCodeObject* code_object; int pos; if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { return NULL; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { return NULL; } code_object = __pyx_code_cache.entries[pos].code_object; Py_INCREF(code_object); return code_object; } static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { int pos, i; __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; if (unlikely(!code_line)) { return; } if (unlikely(!entries)) { entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); if (likely(entries)) { __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = 64; __pyx_code_cache.count = 1; entries[0].code_line = code_line; entries[0].code_object = code_object; Py_INCREF(code_object); } return; } pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { PyCodeObject* tmp = entries[pos].code_object; entries[pos].code_object = code_object; Py_DECREF(tmp); return; } if (__pyx_code_cache.count == __pyx_code_cache.max_count) { int new_max = __pyx_code_cache.max_count + 64; entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( __pyx_code_cache.entries, new_max*sizeof(__Pyx_CodeObjectCacheEntry)); if (unlikely(!entries)) { return; } __pyx_code_cache.entries = entries; __pyx_code_cache.max_count = new_max; } for (i=__pyx_code_cache.count; i>pos; i--) { entries[i] = entries[i-1]; } entries[pos].code_line = code_line; entries[pos].code_object = code_object; __pyx_code_cache.count++; Py_INCREF(code_object); } #include "compile.h" #include "frameobject.h" #include "traceback.h" static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyObject *py_srcfile = 0; PyObject *py_funcname = 0; #if PY_MAJOR_VERSION < 3 py_srcfile = PyString_FromString(filename); #else py_srcfile = PyUnicode_FromString(filename); #endif if (!py_srcfile) goto bad; if (c_line) { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #else py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); #endif } else { #if PY_MAJOR_VERSION < 3 py_funcname = PyString_FromString(funcname); #else py_funcname = PyUnicode_FromString(funcname); #endif } if (!py_funcname) goto bad; py_code = __Pyx_PyCode_New( 0, /*int argcount,*/ 0, /*int kwonlyargcount,*/ 0, /*int nlocals,*/ 0, /*int stacksize,*/ 0, /*int flags,*/ __pyx_empty_bytes, /*PyObject *code,*/ __pyx_empty_tuple, /*PyObject *consts,*/ __pyx_empty_tuple, /*PyObject *names,*/ __pyx_empty_tuple, /*PyObject *varnames,*/ __pyx_empty_tuple, /*PyObject *freevars,*/ __pyx_empty_tuple, /*PyObject *cellvars,*/ py_srcfile, /*PyObject *filename,*/ py_funcname, /*PyObject *name,*/ py_line, /*int firstlineno,*/ __pyx_empty_bytes /*PyObject *lnotab*/ ); Py_DECREF(py_srcfile); Py_DECREF(py_funcname); return py_code; bad: Py_XDECREF(py_srcfile); Py_XDECREF(py_funcname); return NULL; } static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename) { PyCodeObject *py_code = 0; PyObject *py_globals = 0; PyFrameObject *py_frame = 0; py_code = __pyx_find_code_object(c_line ? c_line : py_line); if (!py_code) { py_code = __Pyx_CreateCodeObjectForTraceback( funcname, c_line, py_line, filename); if (!py_code) goto bad; __pyx_insert_code_object(c_line ? c_line : py_line, py_code); } py_globals = PyModule_GetDict(__pyx_m); if (!py_globals) goto bad; py_frame = PyFrame_New( PyThreadState_GET(), /*PyThreadState *tstate,*/ py_code, /*PyCodeObject *code,*/ py_globals, /*PyObject *globals,*/ 0 /*PyObject *locals*/ ); if (!py_frame) goto bad; py_frame->f_lineno = py_line; PyTraceBack_Here(py_frame); bad: Py_XDECREF(py_code); Py_XDECREF(py_frame); } static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { while (t->p) { #if PY_MAJOR_VERSION < 3 if (t->is_unicode) { *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); } else if (t->intern) { *t->p = PyString_InternFromString(t->s); } else { *t->p = PyString_FromStringAndSize(t->s, t->n - 1); } #else /* Python 3+ has unicode identifiers */ if (t->is_unicode | t->is_str) { if (t->intern) { *t->p = PyUnicode_InternFromString(t->s); } else if (t->encoding) { *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL); } else { *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1); } } else { *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1); } #endif if (!*t->p) return -1; ++t; } return 0; } static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(char* c_str) { return __Pyx_PyUnicode_FromStringAndSize(c_str, strlen(c_str)); } static CYTHON_INLINE char* __Pyx_PyObject_AsString(PyObject* o) { Py_ssize_t ignore; return __Pyx_PyObject_AsStringAndSize(o, &ignore); } static CYTHON_INLINE char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT if ( #if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII __Pyx_sys_getdefaultencoding_not_ascii && #endif PyUnicode_Check(o)) { #if PY_VERSION_HEX < 0x03030000 char* defenc_c; PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); if (!defenc) return NULL; defenc_c = PyBytes_AS_STRING(defenc); #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII { char* end = defenc_c + PyBytes_GET_SIZE(defenc); char* c; for (c = defenc_c; c < end; c++) { if ((unsigned char) (*c) >= 128) { PyUnicode_AsASCIIString(o); return NULL; } } } #endif /*__PYX_DEFAULT_STRING_ENCODING_IS_ASCII*/ *length = PyBytes_GET_SIZE(defenc); return defenc_c; #else /* PY_VERSION_HEX < 0x03030000 */ if (PyUnicode_READY(o) == -1) return NULL; #if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII if (PyUnicode_IS_ASCII(o)) { *length = PyUnicode_GET_DATA_SIZE(o); return PyUnicode_AsUTF8(o); } else { PyUnicode_AsASCIIString(o); return NULL; } #else /* __PYX_DEFAULT_STRING_ENCODING_IS_ASCII */ return PyUnicode_AsUTF8AndSize(o, length); #endif /* __PYX_DEFAULT_STRING_ENCODING_IS_ASCII */ #endif /* PY_VERSION_HEX < 0x03030000 */ } else #endif /* __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT */ { char* result; int r = PyBytes_AsStringAndSize(o, &result, length); if (r < 0) { return NULL; } else { return result; } } } static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { int is_true = x == Py_True; if (is_true | (x == Py_False) | (x == Py_None)) return is_true; else return PyObject_IsTrue(x); } static CYTHON_INLINE PyObject* __Pyx_PyNumber_Int(PyObject* x) { PyNumberMethods *m; const char *name = NULL; PyObject *res = NULL; #if PY_MAJOR_VERSION < 3 if (PyInt_Check(x) || PyLong_Check(x)) #else if (PyLong_Check(x)) #endif return Py_INCREF(x), x; m = Py_TYPE(x)->tp_as_number; #if PY_MAJOR_VERSION < 3 if (m && m->nb_int) { name = "int"; res = PyNumber_Int(x); } else if (m && m->nb_long) { name = "long"; res = PyNumber_Long(x); } #else if (m && m->nb_int) { name = "int"; res = PyNumber_Long(x); } #endif if (res) { #if PY_MAJOR_VERSION < 3 if (!PyInt_Check(res) && !PyLong_Check(res)) { #else if (!PyLong_Check(res)) { #endif PyErr_Format(PyExc_TypeError, "__%s__ returned non-%s (type %.200s)", name, name, Py_TYPE(res)->tp_name); Py_DECREF(res); return NULL; } } else if (!PyErr_Occurred()) { PyErr_SetString(PyExc_TypeError, "an integer is required"); } return res; } static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { Py_ssize_t ival; PyObject* x = PyNumber_Index(b); if (!x) return -1; ival = PyInt_AsSsize_t(x); Py_DECREF(x); return ival; } static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { #if PY_VERSION_HEX < 0x02050000 if (ival <= LONG_MAX) return PyInt_FromLong((long)ival); else { unsigned char *bytes = (unsigned char *) &ival; int one = 1; int little = (int)*(unsigned char*)&one; return _PyLong_FromByteArray(bytes, sizeof(size_t), little, 0); } #else return PyInt_FromSize_t(ival); #endif } static CYTHON_INLINE size_t __Pyx_PyInt_AsSize_t(PyObject* x) { unsigned PY_LONG_LONG val = __Pyx_PyInt_AsUnsignedLongLong(x); if (unlikely(val != (unsigned PY_LONG_LONG)(size_t)val)) { if ((val != (unsigned PY_LONG_LONG)-1) || !PyErr_Occurred()) PyErr_SetString(PyExc_OverflowError, "value too large to convert to size_t"); return (size_t)-1; } return (size_t)val; } #endif /* Py_PYTHON_H */ PyMca5-5.2.2/PyMca5/Object3D/Object3DQhull/test.py0000644000276300001750000000520013136054446021355 0ustar solebliss00000000000000# /*########################################################################## # # The PyMca X-Ray Fluorescence Toolkit # # Copyright (c) 2004-2015 European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ from __future__ import absolute_import, division, print_function, \ unicode_literals __author__ = "T. Vincent - ESRF Data Analysis" __contact__ = "tvincent@esrf.fr" __license__ = "MIT" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __doc__ = """Tests for Qhull wrapper.""" import numpy import threading import unittest import PyMca5.Object3D.Object3DQhull as qhull class TestDelaunay(unittest.TestCase): def testVersion(self): self.assertTrue(qhull.__version__) def _test(self, dtype): # Set of points for test tests = ( # 2D square ((0, 0), (0, 1), (1, 1), (2, 0)), # 3D ((0, 0, 0), (1, 0, 0), (1, 1, 0), (0, 2, 0), (0, 0, 3)), ) for points in tests: points = numpy.array(points, dtype=dtype) indices = qhull.delaunay(points, dtype=dtype) self.assertEqual(len(indices), 2) for simplex in indices: self.assertEqual(len(simplex), len(points[0]) + 1) def testFloat32(self): self._test(numpy.float32) def testFloat64(self): self._test(numpy.float64) if __name__ == '__main__': import sys unittest.main(argv=sys.argv) PyMca5-5.2.2/PyMca5/Object3D/Object3DQhull/Object3DQhull.c0000644000276300001750000004517613136054446022613 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ #include #include #include #include <./numpy/arrayobject.h> #include "libqhull.h" #include "qset.h" /* for FOREACHneighbor_() */ #include "poly.h" /* for qh_vertexneighbors() */ #include "geom.h" /* for qh_facetcenter() */ struct module_state { PyObject *error; }; #if PY_MAJOR_VERSION >= 3 #define GETSTATE(m) ((struct module_state*)PyModule_GetState(m)) #else #define GETSTATE(m) (&_state) static struct module_state _state; #endif /* Doc strings */ #if (REALfloat == 1) PyDoc_STRVAR(Object3DQhull__doc__, "Object3DQhullf is just an interface module to the Qhull library.\n" " For the time being only delaunay triangulation is implemented.\n" " See http://www.qhull.org for Qhull details.\n" "\n" "Object3DQHullf.delaunay(nodes, \"qhull d Qbb QJ Qc Po\")\n" " Nodes is a sequence of points (an nrows x 2 or an nrows x 3 array)\n" " The second argument is optional.\n" " The output is an array of indices for the facets.\n"); PyDoc_STRVAR(Object3DQhull_delaunay__doc__, "delaunay(nodes, \"qhull d Qbb QJ Qc Po\")\n" " Nodes is a sequence of points (an nrows x 2 or an nrows x 3 array)\n" " The second argument is optional.\n" " http://www.qhull.org for Qhull details.\n" " The output is an array of indices for the facets.\n"); #else PyDoc_STRVAR(Object3DQhull__doc__, "Object3DQhull is just an interface module to the Qhull library.\n" " For the time being only delaunay triangulation is implemented.\n" " See http://www.qhull.org for Qhull details.\n" "\n" "Object3DQHull.delaunay(nodes, \"qhull d Qbb QJ Qc\")\n" " Nodes is a sequence of points (an nrows x 2 or an nrows x 3 array)\n" " The second argument is optional.\n" " The output is an array of indices for the facets.\n"); PyDoc_STRVAR(Object3DQhull_delaunay__doc__, "delaunay(nodes, \"qhull d Qbb QJ Qc\")\n" " Nodes is a sequence of points (an nrows x 2 or an nrows x 3 array)\n" " The second argument is optional.\n" " http://www.qhull.org for Qhull details.\n" " The output is an array of indices for the facets.\n"); #endif /* Function declarations */ static PyObject *object3DDelaunay(PyObject *dummy, PyObject *args); static PyObject *object3DVoronoi(PyObject *dummy, PyObject *args); static void qhullResultFailure(PyObject * self, int qhull_exitcode); static PyObject *getQhullVersion(PyObject *dummy, PyObject *args); static PyObject *object3DDelaunay(PyObject *self, PyObject *args) { /* input parameters */ PyObject *input1, *input3=NULL; const char *input2 = NULL; /* local variables */ PyArrayObject *pointArray, *inner_pointArray=NULL; PyArrayObject *result, *inner_result=NULL ; coordT *points; /* Qhull */ int dimension; /* Qhull */ int nPoints; /* Qhull */ int inner_nPoints = 0; /* Qhull */ int qhullResult; /* Qhull exit code, 0 means no error */ boolT ismalloc = False; /* True if Qhull should free points in qh_freeqhull() or reallocation */ //char cQhullDefaultFlags[] = "qhull d Qbb Qt"; /* Qhull flags (see doc)*/ #if (REALfloat == 1) char cQhullDefaultFlags[] = "qhull d Qbb QJ Qc Po"; /* Qhull flags (see doc) Po is to ignore precision errors*/ #else char cQhullDefaultFlags[] = "qhull d Qbb QJ Qc"; /* Qhull flags (see doc)*/ #endif char *cQhullFlags; int nFacets = 0; npy_intp outDimensions[3]; facetT *facet; /* needed by FORALLfacets */ vertexT *vertex, **vertexp; int j, i; #if (REALfloat == 1) float *p; float bestdist; float point[4]; #else double *p; double bestdist; double point[4]; #endif unsigned int *uintP; boolT isoutside; struct module_state *st = GETSTATE(self); /* ------------- statements ---------------*/ if (!PyArg_ParseTuple(args, "O|zO", &input1, &input2, &input3 )) { PyErr_SetString(st->error, "Unable to parse arguments"); return NULL; } /* The array containing the points */ #if (REALfloat == 1) pointArray = (PyArrayObject *) PyArray_ContiguousFromAny(input1, PyArray_FLOAT,2,2); if(input3) { inner_pointArray = (PyArrayObject *) PyArray_ContiguousFromAny(input3, PyArray_FLOAT,2,2); if(!inner_pointArray) { PyErr_SetString(st->error, "third argument if given must be a nrows x X array"); return NULL; } } #else pointArray = (PyArrayObject *) PyArray_ContiguousFromAny(input1, PyArray_DOUBLE,2,2); if(input3) { inner_pointArray = (PyArrayObject *) PyArray_ContiguousFromAny(input3, PyArray_DOUBLE,2,2); if(!inner_pointArray) { PyErr_SetString(st->error, "third argument if given must be a nrows x X array"); return NULL; } } #endif if (pointArray == NULL) { PyErr_SetString(st->error, "First argument is not a nrows x X array"); return NULL; } if (input2 == NULL) { cQhullFlags = &cQhullDefaultFlags[0]; } else { cQhullFlags = (char *) input2; } /* printf("flags = %s\n", cQhullFlags); */ /* dimension to pass to Qhull */ dimension = (int) pointArray->dimensions[1]; /* number of points for Qhull */ nPoints = (int) pointArray->dimensions[0]; /* the points themselves for Qhull */ points = (coordT *) pointArray->data; qhullResult = qh_new_qhull(dimension, nPoints, points, ismalloc, cQhullFlags, NULL, stderr); if (qhullResult) { /* Free the memory allocated by Qhull */ qh_freeqhull(qh_ALL); Py_DECREF (pointArray); if(input3) { Py_DECREF (inner_pointArray); } qhullResultFailure(self, qhullResult); return NULL; } /* Get the number of facets */ /* Probably there is a better way to do it */ FORALLfacets { if (facet->upperdelaunay) continue; nFacets ++; } /* printf("Number of facets = %d\n", nFacets); */ /* Allocate the memory for the output array */ if (0) // As triangles { /* It has the form: [nfacets, dimension, 3] */ outDimensions[0] = nFacets; outDimensions[1] = 3; outDimensions[2] = dimension; result = (PyArrayObject *) PyArray_SimpleNew(3, outDimensions, PyArray_FLOAT); if (result == NULL) { qh_freeqhull(qh_ALL); Py_DECREF (pointArray); if(input3) { Py_DECREF (inner_pointArray); } PyErr_SetString(st->error, "Error allocating output memory"); return NULL; } #if (REALfloat == 1) p = (float *) result->data; #else p = (double *) result->data; #endif FORALLfacets { if (facet->upperdelaunay) continue; FOREACHvertex_(facet->vertices) { for (j = 0; j < (qh hull_dim - 1); ++j) { *p = vertex->point[j]; ++p; } } } } else // As indices { outDimensions[0] = nFacets; outDimensions[1] = dimension+1 ; result = (PyArrayObject *) PyArray_SimpleNew(2, outDimensions, PyArray_UINT32); if( input3 ) { inner_nPoints = (int) inner_pointArray->dimensions[0]; outDimensions[0] = inner_nPoints; outDimensions[1] = dimension+1; inner_result = (PyArrayObject *) PyArray_SimpleNew(2, outDimensions, PyArray_UINT32); if (inner_result == NULL) { qh_freeqhull(qh_ALL); Py_DECREF (pointArray); Py_DECREF (inner_pointArray); PyErr_SetString(st->error, "Error allocating output memory for inner points facets"); return NULL; } } if (result == NULL) { qh_freeqhull(qh_ALL); Py_DECREF (pointArray); { if(inner_pointArray) { Py_DECREF (inner_pointArray) ; } } PyErr_SetString(st->error, "Error allocating output memory"); return NULL; } uintP = (unsigned int *) result->data; FORALLfacets { if (facet->upperdelaunay) continue; FOREACHvertex_(facet->vertices) { *uintP = qh_pointid(vertex->point); ++uintP; } } if(input3) { uintP = (unsigned int *) inner_result->data; #if (REALfloat == 1) p = (float *) inner_pointArray->data; #else p = (double *) inner_pointArray->data; #endif for (i=0; i< inner_nPoints; i++) { for(j=0; jupperdelaunay && facet->simplicial) { FOREACHvertex_(facet->vertices) { *uintP = qh_pointid(vertex->point); ++uintP; } } else { qh_freeqhull(qh_ALL); Py_DECREF (pointArray); if(pointArray) { Py_DECREF (inner_pointArray); } PyErr_SetString(st->error, "Error allocating output memory"); return NULL; } } } } /* Free the memory allocated by Qhull */ qh_freeqhull(qh_ALL); Py_DECREF (pointArray); if( input3==NULL) { return PyArray_Return(result); } else { return Py_BuildValue("NN", result, inner_result ); } } static PyObject *object3DVoronoi(PyObject *self, PyObject *args) { /* input parameters */ PyObject *input1, *input3=NULL; const char *input2 = NULL; /* local variables */ PyArrayObject *pointArray, *inner_pointArray=NULL; PyArrayObject *result; coordT *points; /* Qhull */ int dimension; /* Qhull */ int nPoints; /* Qhull */ int qhullResult; /* Qhull exit code, 0 means no error */ boolT ismalloc = False; /* True if Qhull should free points in qh_freeqhull() or reallocation */ #if (REALfloat == 1) char cQhullDefaultFlags[] = "qhull v p"; /* Qhull flags (see doc) Po is to ignore precision errors*/ #else char cQhullDefaultFlags[] = "qhull v p"; /* Qhull flags (see doc)*/ #endif char *cQhullFlags; int nFacets = 0; npy_intp outDimensions[2]; facetT *facet; /* needed by FORALLfacets */ pointT *center; int j, i; #if (REALfloat == 1) float *p; #else double *p; #endif struct module_state *st = GETSTATE(self); /* ------------- statements ---------------*/ if (!PyArg_ParseTuple(args, "O|zO", &input1, &input2, &input3 )) { PyErr_SetString(st->error, "Unable to parse arguments"); return NULL; } /* The array containing the points */ #if (REALfloat == 1) pointArray = (PyArrayObject *) PyArray_ContiguousFromAny(input1, PyArray_FLOAT,2,2); if(input3) { inner_pointArray = (PyArrayObject *) PyArray_ContiguousFromAny(input3, PyArray_FLOAT,2,2); if(!inner_pointArray) { PyErr_SetString(st->error, "third argument if given must be a nrows x X array"); return NULL; } } #else pointArray = (PyArrayObject *) PyArray_ContiguousFromAny(input1, PyArray_DOUBLE,2,2); if(input3) { inner_pointArray = (PyArrayObject *) PyArray_ContiguousFromAny(input3, PyArray_DOUBLE,2,2); if(!inner_pointArray) { PyErr_SetString(st->error, "third argument if given must be a nrows x X array"); return NULL; } } #endif if (pointArray == NULL) { PyErr_SetString(st->error, "First argument is not a nrows x X array"); return NULL; } if (input2 == NULL) { cQhullFlags = &cQhullDefaultFlags[0]; } else { cQhullFlags = (char *) input2; } /* printf("flags = %s\n", cQhullFlags); */ /* dimension to pass to Qhull */ dimension = (int) pointArray->dimensions[1]; /* number of points for Qhull */ nPoints = (int) pointArray->dimensions[0]; /* the points themselves for Qhull */ points = (coordT *) pointArray->data; qhullResult = qh_new_qhull(dimension, nPoints, points, ismalloc, cQhullFlags, NULL, stderr); if (qhullResult) { /* Free the memory allocated by Qhull */ qh_freeqhull(qh_ALL); Py_DECREF (pointArray); if(input3) { Py_DECREF (inner_pointArray); } qhullResultFailure(self, qhullResult); return NULL; } /* Get the number of facets */ /* Probably there is a better way to do it */ i = 0; FORALLfacets { if (facet->upperdelaunay) continue; i += 1; printf("Facet number %d\n", i); nFacets ++; } printf("Number of facets = %d\n", nFacets); /* Allocate the memory for the output array */ /* It has the form: [nfacets, dimension, 3] */ outDimensions[0] = nFacets; outDimensions[1] = dimension; //outDimensions[2] = dimension; printf("output dimensions = %ld, %ld\n", outDimensions[0], outDimensions[1]); result = (PyArrayObject *) PyArray_SimpleNew(2, outDimensions, PyArray_DOUBLE); if (result == NULL) { qh_freeqhull(qh_ALL); Py_DECREF (pointArray); if(input3) { Py_DECREF (inner_pointArray); } PyErr_SetString(st->error, "Error allocating output memory"); return NULL; } #if (REALfloat == 1) printf("FLOAT\n"); p = (float *) result->data; #else p = (double *) result->data; printf("DOUBLE\n"); #endif printf("qh hull_dim = %d\n", qh hull_dim); i = 0; if (1) { FORALLfacets { if (facet->upperdelaunay) continue; if (facet->visitid > 0) { i += 1; center = qh_facetcenter(facet->vertices); for (j = 0; j < (qh hull_dim - 1); ++j) { printf("vertex[%d] = %f\n", j, center[j]); //p = ((double *) result->data) + (facet->visitid-1) * dimension + j; *p = center[j]; p++; } } } printf("Number of Voronoi vertices = %d\n", i); } printf("PASSED LOOP\n"); /* Free the memory allocated by Qhull */ qh_freeqhull(qh_ALL); Py_DECREF (pointArray); return PyArray_Return(result); } static void qhullResultFailure(PyObject * self, int qhull_exitcode) { struct module_state *st = GETSTATE(self); switch (qhull_exitcode) { case qh_ERRinput: PyErr_BadInternalCall (); break; case qh_ERRsingular: PyErr_SetString(PyExc_ArithmeticError, "qhull singular input data"); break; case qh_ERRprec: PyErr_SetString(PyExc_ArithmeticError, "qhull precision error"); break; case qh_ERRmem: PyErr_NoMemory(); break; case qh_ERRqhull: PyErr_SetString(st->error, "qhull internal error"); break; } } static PyObject *getQhullVersion(PyObject *self, PyObject *args) { #if PY_MAJOR_VERSION >= 3 return PyUnicode_DecodeASCII(qh_version, strlen(qh_version), NULL); #else return PyString_FromString(qh_version); #endif } /* Module methods */ static PyMethodDef Object3DQhullMethods[] = { {"delaunay", object3DDelaunay, METH_VARARGS, Object3DQhull_delaunay__doc__}, {"voronoi", object3DVoronoi, METH_VARARGS, Object3DQhull_delaunay__doc__}, {"version", getQhullVersion, METH_VARARGS}, {NULL, NULL, 0, NULL} /* sentinel */ }; #if (REALfloat == 1) #define MOD_NAME "Object3DQhullf" #else #define MOD_NAME "Object3DQhull" #endif #if PY_MAJOR_VERSION >= 3 static int Object3DQhull_traverse(PyObject *m, visitproc visit, void *arg) { Py_VISIT(GETSTATE(m)->error); return 0; } static int Object3DQhull_clear(PyObject *m) { Py_CLEAR(GETSTATE(m)->error); return 0; } static struct PyModuleDef moduledef = { PyModuleDef_HEAD_INIT, MOD_NAME, Object3DQhull__doc__, sizeof(struct module_state), Object3DQhullMethods, NULL, Object3DQhull_traverse, Object3DQhull_clear, NULL }; #define INITERROR return NULL #if (REALfloat == 1) PyObject * PyInit_Object3DQhullf(void) #else PyObject * PyInit_Object3DQhull(void) #endif #else #define INITERROR return #if (REALfloat == 1) void initObject3DQhullf(void) #else void initObject3DQhull(void) #endif #endif { struct module_state *st; #if PY_MAJOR_VERSION >= 3 PyObject *module = PyModule_Create(&moduledef); #else PyObject *module = Py_InitModule3(MOD_NAME, Object3DQhullMethods, Object3DQhull__doc__); #endif if (module == NULL) INITERROR; st = GETSTATE(module); st->error = PyErr_NewException("Object3DQhull.error", NULL, NULL); if (st->error == NULL) { Py_DECREF(module); INITERROR; } import_array() #if PY_MAJOR_VERSION >= 3 return module; #endif } PyMca5-5.2.2/PyMca5/Object3D/SceneWidget.py0000644000276300001750000000525113136054446020202 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from . import Object3DQt as qt from . import SceneTree QTVERSION = qt.qVersion() DEBUG = 0 class SceneWidget(qt.QWidget): sigSceneWidgetSignal = qt.pyqtSignal(object) def __init__(self, parent = None, scene = None): qt.QWidget.__init__(self, parent) self.setWindowTitle('Scene Widget') self.mainLayout = qt.QVBoxLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setContentsMargins(0, 0, 0, 0) if scene is None: tree = None else: tree = scene.tree self.treeWidget = SceneTree.Object3DObjectTree(self, tree=tree) self.tree = self.treeWidget.tree self.mainLayout.addWidget(self.treeWidget) self.treeWidget.sigObjectTreeSignal.connect(self._treeWidgetSignal) def _treeWidgetSignal(self, ddict): self.emitSignal(ddict['event'], ddict) def emitSignal(self, event, ddict = None): if ddict is None: ddict = {} ddict['event'] = event self.sigSceneWidgetSignal.emit(ddict) def updateView(self, expand=True): return self.treeWidget.updateView(expand=expand) def setSelectedObject(self, name=None): return self.treeWidget.setSelectedObject(name) if __name__ == "__main__": app = qt.QApplication([]) w = SceneWidget() w.show() app.exec_() PyMca5-5.2.2/PyMca5/Object3D/Object3DBase.py0000644000276300001750000003761013136054446020175 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import numpy import weakref import sys from . import Object3DQt as qt from . import Object3DPrivateConfig try: import OpenGL.GL as GL except ImportError: raise ImportError("OpenGL must be installed to use these functionalities") DEBUG = 0 DRAW_MODES = ['NONE', 'POINT', 'WIRE', 'SURFACE'] #'LIGHT', #'POINT_SELECTION'] class Object3D(object): def __init__(self, name = "Object3D"): self._configuration ={} #default limits self._limits = numpy.zeros((2,3), numpy.float32) self._limits[1,0] = 1.0 self._limits[1,1] = 1.0 self._limitsChanged = False self.__name = name #the possible private configuration widget self._privateConfigurationWidget = None self.initCommonConfiguration(name) self.initPrivateConfiguration(name) # the object should know if it is the active object self._selected = False # vertex selection mode self._vertexSelectionMode = False #bounding box gl list self.boundingBoxList = 0 #bounding box indices #Bottom XY plane self._bottomPlane = numpy.zeros(5).astype(numpy.uint32) self._bottomPlane[0] = 0 self._bottomPlane[1] = 2 self._bottomPlane[2] = 6 self._bottomPlane[3] = 4 self._bottomPlane[4] = 0 #Top XY plane self._topPlane = numpy.zeros(5).astype(numpy.uint32) self._topPlane[0] = 1 self._topPlane[1] = 3 self._topPlane[2] = 7 self._topPlane[3] = 5 self._topPlane[4] = 1 #Parallel edges self._edges = numpy.arange(8).astype(numpy.uint32) def __del__(self): if GL is not None: if self.boundingBoxList != 0: GL.glDeleteLists(self.boundingBoxList, 1) if DEBUG: print("DELETING Object3d base") print(self.name(), "DELETED") def name(self): return self.__name def isVertexSelectionModeSupported(self): return False def setVertexSelectionMode(self, flag): # This is to tell the widget the application is trying # to get information about a vertex. self._vertexSelectionMode = flag def initCommonConfiguration(self, name): """ Fills the default configuration features found in all objects """ ddict = {} ddict['name'] = name ddict['pointsize'] = 1.0 #always supported ddict['linewidth'] = 1.0 #always supported ddict['transparency'] = 0.0 #solid color #scaling parameters ddict['scale'] = [1.0, 1.0, 1.0] ddict['scalefactor'] = 1.0 #default anchoring is the origin ddict['anchor'] = [0, 0, 0] #warning:these are flags #translation ddict['translation'] = [0.0, 0.0, 0.0] #rotation in (degrees) ddict['rotation'] = [ 0.0, 0.0, 0.0] #drawing modes ddict['drawingmodes'] = DRAW_MODES #current mode ddict['mode'] = 0 #supported modes supportedModes = [] for i in range(len(DRAW_MODES)): supportedModes.append(i) supportedModes [0] = 1 #no drawing is always possible ddict['supportedmodes'] = supportedModes #show bounding box ddict['bboxflag'] = 0 #limits ddict['showlimits'] = [0, 0, 0] #clipping planes #clipping planes have the form [flag, A, B, C, D] ddict['clippingplanes'] = [[0, 0.0, 0.0, 1.0, 0.0], #XY [0, 0.0, 1.0, 0.0, 0.0], #XZ [0, 1.0, 0.0, 0.0, 0.0], #YZ [0, 0.0, 0.0, 1.0, 0.0]] #U0 ddict['limits'] = self.getLimits() ddict['colormap'] = [2, True, 0, 1, -10, 10, 0] self._configuration['common'] = ddict def initPrivateConfiguration(self, name): """ Specific configuration. To be overwitten """ self._configuration['private'] = {} if self._privateConfigurationWidget is None: self._privateConfigurationWidget = Object3DPrivateConfig.Object3DPrivateConfig(None, name=name) self._configuration['private']['widget'] = weakref.proxy(self._privateConfigurationWidget) def getConfiguration(self): return self._configuration def setConfiguration(self, ddict): """ You will very likely overwrite this method """ if "common" in ddict: self._configuration['common'].update(ddict['common']) if "private" in ddict: #do not overwrite widget!!! widget = self._configuration['private']['widget'] self._configuration['private'].update(ddict['private']) if widget is not None: #restore former widget self._configuration['private']['widget'] = widget def setSelected(self, flag = True): self._selected = flag def selected(self): return self._selected def getLimits(self): """ This method returns the limits of the object Typically will be its bounding box. The form is a 2 row numpy array: [[xmin, ymin, zmin], [xmax, ymax, zmax]] """ return self._limits def setLimits(self, xmin, ymin, zmin, xmax, ymax, zmax): self._limits[0,:] = xmin, ymin, zmin self._limits[1,:] = xmax, ymax, zmax self._limitsArray = numpy.zeros((8,3), numpy.float32) i = 0 for x in [xmin, xmax]: for y in [ymin, ymax]: for z in [zmin, zmax]: self._limitsArray[i, 0] = x self._limitsArray[i, 1] = y self._limitsArray[i, 2] = z i += 1 self._limitsChanged = True self._configuration['common']['limits'] = self._limits def draw(self): """ This is the method called to perform all the openGL stuff. The default implementation calls drawObject. If the objects is selected, it also calls drawBoundingBox. Perhaps, you should consider overwriting just drawObject in your application. """ self.enableClippingPlanes() self.drawObject() self.disableClippingPlanes() #Default implementattion: #A selected object draws its bounding box #unless we are selecting but in that case it does not get here. if self._selected: if not self._vertexSelectionMode: self.drawBoundingBox() def enableClippingPlanes(self): plane = self._configuration['common']['clippingplanes'] GL.glClipPlane(GL.GL_CLIP_PLANE0, plane[0][1:]) GL.glClipPlane(GL.GL_CLIP_PLANE1, plane[1][1:]) GL.glClipPlane(GL.GL_CLIP_PLANE2, plane[2][1:]) GL.glClipPlane(GL.GL_CLIP_PLANE3, plane[3][1:]) if plane[0][0]: GL.glEnable(GL.GL_CLIP_PLANE0) if plane[1][0]: GL.glEnable(GL.GL_CLIP_PLANE1) if plane[2][0]: GL.glEnable(GL.GL_CLIP_PLANE2) if plane[3][0]: GL.glEnable(GL.GL_CLIP_PLANE3) def disableClippingPlanes(self): plane = self._configuration['common']['clippingplanes'] GL.glDisable(GL.GL_CLIP_PLANE0) GL.glDisable(GL.GL_CLIP_PLANE1) GL.glDisable(GL.GL_CLIP_PLANE2) GL.glDisable(GL.GL_CLIP_PLANE3) def drawObject(self): pass def drawCoordinates(self): if self._coordinates is not None: self._coordinates.draw() def drawBoundingBox(self): if 0: self.drawBoundingBoxNew() else: self.drawBoundingBoxOld() def drawBoundingBoxNew(self): #should I consider the alpha? alpha = 1. - self._configuration['common']['transparency'] GL.glColor4f(0., 0., 0., alpha) GL.glVertexPointerf(self._limitsArray) GL.glEnableClientState(GL.GL_VERTEX_ARRAY) GL.glDrawElements(GL.GL_LINE_STRIP, 5, GL.GL_UNSIGNED_INT, self._bottomPlane) GL.glDrawElements(GL.GL_LINE_STRIP, 5, GL.GL_UNSIGNED_INT, self._topPlane) GL.glDrawElements(GL.GL_LINES, 8, GL.GL_UNSIGNED_INT, self._edges) GL.glDisableClientState(GL.GL_VERTEX_ARRAY) def drawBoundingBoxOld(self): if self.boundingBoxList == 0: self.buildBoundingBoxList() else: if self._limitsChanged: #the old bounding box list is not valid GL.glDeleteLists(self.boundingBoxList, 1) self.buildBoundingBoxList() #should I consider the alpha? alpha = 1. - self._configuration['common']['transparency'] GL.glColor4f(0., 0., 0., alpha) GL.glCallList(self.boundingBoxList) def buildBoundingBoxList(self): (xmin, ymin, zmin) = self._limits[0,:] (xmax, ymax, zmax) = self._limits[1,:] self.boundingBoxList = GL.glGenLists(1) GL.glColor3f(0.5, 0.0, 0.0) # Bottom XY plane GL.glNewList(self.boundingBoxList, GL.GL_COMPILE) GL.glBegin(GL.GL_LINE_STRIP) GL.glVertex3f(xmin, ymin, zmin) GL.glVertex3f(xmax, ymin, zmin) GL.glVertex3f(xmax, ymax, zmin) GL.glVertex3f(xmin, ymax, zmin) GL.glVertex3f(xmin, ymin, zmin) GL.glEnd() # Top XY plane GL.glBegin(GL.GL_LINE_STRIP) GL.glVertex3f(xmin, ymin, zmax) GL.glVertex3f(xmax, ymin, zmax) GL.glVertex3f(xmax, ymax, zmax) GL.glVertex3f(xmin, ymax, zmax) GL.glVertex3f(xmin, ymin, zmax) GL.glEnd() # Parallel edges GL.glBegin(GL.GL_LINES) GL.glVertex3f(xmin, ymin, zmin) GL.glVertex3f(xmin, ymin, zmax) GL.glVertex3f(xmax, ymin, zmin) GL.glVertex3f(xmax, ymin, zmax) GL.glVertex3f(xmin, ymax, zmin) GL.glVertex3f(xmin, ymax, zmax) GL.glVertex3f(xmax, ymax, zmin) GL.glVertex3f(xmax, ymax, zmax) GL.glEnd() #self.buildTicks() GL.glEndList() def buildTicks(self): (xmin, ymin, zmin) = self._limits[0,:] (xmax, ymax, zmax) = self._limits[1,:] xdelta = self.getTickDelta(xmin, xmax) ydelta = self.getTickDelta(ymin, ymax) zdelta = self.getTickDelta(zmin, zmax) p = 30. xTickSize = (xmax - xmin)/p yTickSize = (ymax - ymin)/p zTickSize = (zmax - zmin)/p if xdelta > 0: GL.glBegin(GL.GL_LINES) x = xmin + xdelta while x <= xmax: GL.glVertex3f(x, ymin, zmin) GL.glVertex3f(x, ymin + yTickSize, zmin) GL.glVertex3f(x, ymax, zmin) GL.glVertex3f(x, ymax - yTickSize, zmin) x += xdelta GL.glEnd() if ydelta > 0: GL.glBegin(GL.GL_LINES) y = ymin + ydelta while y <= ymax: GL.glVertex3f(xmin, y, zmin) GL.glVertex3f(xmin + xTickSize, y, zmin) GL.glVertex3f(xmax, y, zmin) GL.glVertex3f(xmax - xTickSize, y, zmin) y += ydelta GL.glEnd() if zdelta > 0: GL.glBegin(GL.GL_LINES) z = zmin + zdelta while z <= zmax: GL.glVertex3f(xmin, ymin, z) GL.glVertex3f(xmin + xTickSize, ymin, z) GL.glVertex3f(xmax, ymin, z) GL.glVertex3f(xmax - xTickSize, ymin, z) GL.glVertex3f(xmin, ymin, z) GL.glVertex3f(xmin, ymin + yTickSize, z) GL.glVertex3f(xmin, ymax, z) GL.glVertex3f(xmin, ymax - yTickSize, z) z += zdelta GL.glEnd() def getTickDelta(self, minval0, maxval0, nticks = 5): if minval0 < 0: minval = -minval0 else: minval = minval0 if maxval0 < 0: maxval = -maxval0 else: maxval = maxval0 if minval > maxval: temp = minval * 1.0 minval = maxval * 1.0 maxval = temp #both are positive now delta = maxval - minval if delta <= 0: stepInterval = 1 else: stepInterval = pow(10.0, int(numpy.log10(maxval - minval))+1) finalInterval = stepInterval * 1 ticks = (maxval - minval)/ stepInterval counter = 0 divider = 1.0 while ticks < nticks: if (counter % 3) == 0: divider = 2. elif (counter % 3) == 1: divider = 5. elif (counter % 3) == 2: divider = 1. stepInterval /= 10. counter += 1 finalInterval = stepInterval/divider ticks = (maxval-minval)/ finalInterval return finalInterval def getIndexValues(self, index): """ To be overwritten. Expected to give back x, y, z, I for index """ return None, None, None, None def updatePrivateConfigurationWidget(self): # This rarely be called from here unless for initialization. # The graphic interface should deal with the configuration. if hasPrivateConfigurationWidget(): return self._privateConfigurationWidget.setConfiguration(self._configuration) else: return True def hasPrivateConfigurationWidget(self): if self._privateConfigurationWidget is not None: return True else: return False def getObject3DInstance(config=None): return Object3D() if __name__ == "__main__": app = qt.QApplication(sys.argv) name = "Base 3D-Object" object3D = Object3D(name) object3D.setLimits(10.0, 10.0, 10., 30., 30., 30) object3D.setSelected(1) #otherways we'll see nothing if 0: import SceneGLWidget window = SceneGLWidget.SceneGLWidget() window.addObject3D(object3D, name) window.show() else: import SceneGLWindow window = SceneGLWindow.SceneGLWindow() #Needed to initialize SceneGLWidget window.show() window.addObject(object3D, name, update_scene=False) #window.glWidget.setZoomFactor(window.glWidget.getZoomFactor()) window.glWidget.setZoomFactor(0.9) app.exec_() PyMca5-5.2.2/PyMca5/Object3D/Object3DRedBookFont.py0000644000276300001750000002542013136054446021473 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import OpenGL.GL as GL import numpy from . import Object3DQt as qt rasters = numpy.array([ [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x18, 0x18, 0x00, 0x00, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x36, 0x36, 0x36, 0x36], [0x00, 0x00, 0x00, 0x66, 0x66, 0xff, 0x66, 0x66, 0xff, 0x66, 0x66, 0x00, 0x00], [0x00, 0x00, 0x18, 0x7e, 0xff, 0x1b, 0x1f, 0x7e, 0xf8, 0xd8, 0xff, 0x7e, 0x18], [0x00, 0x00, 0x0e, 0x1b, 0xdb, 0x6e, 0x30, 0x18, 0x0c, 0x76, 0xdb, 0xd8, 0x70], [0x00, 0x00, 0x7f, 0xc6, 0xcf, 0xd8, 0x70, 0x70, 0xd8, 0xcc, 0xcc, 0x6c, 0x38], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x18, 0x1c, 0x0c, 0x0e], [0x00, 0x00, 0x0c, 0x18, 0x30, 0x30, 0x30, 0x30, 0x30, 0x30, 0x30, 0x18, 0x0c], [0x00, 0x00, 0x30, 0x18, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x18, 0x30], [0x00, 0x00, 0x00, 0x00, 0x99, 0x5a, 0x3c, 0xff, 0x3c, 0x5a, 0x99, 0x00, 0x00], [0x00, 0x00, 0x00, 0x18, 0x18, 0x18, 0xff, 0xff, 0x18, 0x18, 0x18, 0x00, 0x00], [0x00, 0x00, 0x30, 0x18, 0x1c, 0x1c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x38, 0x38, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x60, 0x60, 0x30, 0x30, 0x18, 0x18, 0x0c, 0x0c, 0x06, 0x06, 0x03, 0x03], [0x00, 0x00, 0x3c, 0x66, 0xc3, 0xe3, 0xf3, 0xdb, 0xcf, 0xc7, 0xc3, 0x66, 0x3c], [0x00, 0x00, 0x7e, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x78, 0x38, 0x18], [0x00, 0x00, 0xff, 0xc0, 0xc0, 0x60, 0x30, 0x18, 0x0c, 0x06, 0x03, 0xe7, 0x7e], [0x00, 0x00, 0x7e, 0xe7, 0x03, 0x03, 0x07, 0x7e, 0x07, 0x03, 0x03, 0xe7, 0x7e], [0x00, 0x00, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0xff, 0xcc, 0x6c, 0x3c, 0x1c, 0x0c], [0x00, 0x00, 0x7e, 0xe7, 0x03, 0x03, 0x07, 0xfe, 0xc0, 0xc0, 0xc0, 0xc0, 0xff], [0x00, 0x00, 0x7e, 0xe7, 0xc3, 0xc3, 0xc7, 0xfe, 0xc0, 0xc0, 0xc0, 0xe7, 0x7e], [0x00, 0x00, 0x30, 0x30, 0x30, 0x30, 0x18, 0x0c, 0x06, 0x03, 0x03, 0x03, 0xff], [0x00, 0x00, 0x7e, 0xe7, 0xc3, 0xc3, 0xe7, 0x7e, 0xe7, 0xc3, 0xc3, 0xe7, 0x7e], [0x00, 0x00, 0x7e, 0xe7, 0x03, 0x03, 0x03, 0x7f, 0xe7, 0xc3, 0xc3, 0xe7, 0x7e], [0x00, 0x00, 0x00, 0x38, 0x38, 0x00, 0x00, 0x38, 0x38, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x30, 0x18, 0x1c, 0x1c, 0x00, 0x00, 0x1c, 0x1c, 0x00, 0x00, 0x00], [0x00, 0x00, 0x06, 0x0c, 0x18, 0x30, 0x60, 0xc0, 0x60, 0x30, 0x18, 0x0c, 0x06], [0x00, 0x00, 0x00, 0x00, 0xff, 0xff, 0x00, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x60, 0x30, 0x18, 0x0c, 0x06, 0x03, 0x06, 0x0c, 0x18, 0x30, 0x60], [0x00, 0x00, 0x18, 0x00, 0x00, 0x18, 0x18, 0x0c, 0x06, 0x03, 0xc3, 0xc3, 0x7e], [0x00, 0x00, 0x3f, 0x60, 0xcf, 0xdb, 0xd3, 0xdd, 0xc3, 0x7e, 0x00, 0x00, 0x00], [0x00, 0x00, 0xc3, 0xc3, 0xc3, 0xc3, 0xff, 0xc3, 0xc3, 0xc3, 0x66, 0x3c, 0x18], [0x00, 0x00, 0xfe, 0xc7, 0xc3, 0xc3, 0xc7, 0xfe, 0xc7, 0xc3, 0xc3, 0xc7, 0xfe], [0x00, 0x00, 0x7e, 0xe7, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xe7, 0x7e], [0x00, 0x00, 0xfc, 0xce, 0xc7, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc7, 0xce, 0xfc], [0x00, 0x00, 0xff, 0xc0, 0xc0, 0xc0, 0xc0, 0xfc, 0xc0, 0xc0, 0xc0, 0xc0, 0xff], [0x00, 0x00, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xfc, 0xc0, 0xc0, 0xc0, 0xff], [0x00, 0x00, 0x7e, 0xe7, 0xc3, 0xc3, 0xcf, 0xc0, 0xc0, 0xc0, 0xc0, 0xe7, 0x7e], [0x00, 0x00, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xff, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3], [0x00, 0x00, 0x7e, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x7e], [0x00, 0x00, 0x7c, 0xee, 0xc6, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06], [0x00, 0x00, 0xc3, 0xc6, 0xcc, 0xd8, 0xf0, 0xe0, 0xf0, 0xd8, 0xcc, 0xc6, 0xc3], [0x00, 0x00, 0xff, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0], [0x00, 0x00, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xdb, 0xff, 0xff, 0xe7, 0xc3], [0x00, 0x00, 0xc7, 0xc7, 0xcf, 0xcf, 0xdf, 0xdb, 0xfb, 0xf3, 0xf3, 0xe3, 0xe3], [0x00, 0x00, 0x7e, 0xe7, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xe7, 0x7e], [0x00, 0x00, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xfe, 0xc7, 0xc3, 0xc3, 0xc7, 0xfe], [0x00, 0x00, 0x3f, 0x6e, 0xdf, 0xdb, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0x66, 0x3c], [0x00, 0x00, 0xc3, 0xc6, 0xcc, 0xd8, 0xf0, 0xfe, 0xc7, 0xc3, 0xc3, 0xc7, 0xfe], [0x00, 0x00, 0x7e, 0xe7, 0x03, 0x03, 0x07, 0x7e, 0xe0, 0xc0, 0xc0, 0xe7, 0x7e], [0x00, 0x00, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0xff], [0x00, 0x00, 0x7e, 0xe7, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3], [0x00, 0x00, 0x18, 0x3c, 0x3c, 0x66, 0x66, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3], [0x00, 0x00, 0xc3, 0xe7, 0xff, 0xff, 0xdb, 0xdb, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3], [0x00, 0x00, 0xc3, 0x66, 0x66, 0x3c, 0x3c, 0x18, 0x3c, 0x3c, 0x66, 0x66, 0xc3], [0x00, 0x00, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x3c, 0x3c, 0x66, 0x66, 0xc3], [0x00, 0x00, 0xff, 0xc0, 0xc0, 0x60, 0x30, 0x7e, 0x0c, 0x06, 0x03, 0x03, 0xff], [0x00, 0x00, 0x3c, 0x30, 0x30, 0x30, 0x30, 0x30, 0x30, 0x30, 0x30, 0x30, 0x3c], [0x00, 0x03, 0x03, 0x06, 0x06, 0x0c, 0x0c, 0x18, 0x18, 0x30, 0x30, 0x60, 0x60], [0x00, 0x00, 0x3c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x3c], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xc3, 0x66, 0x3c, 0x18], [0xff, 0xff, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x18, 0x38, 0x30, 0x70], [0x00, 0x00, 0x7f, 0xc3, 0xc3, 0x7f, 0x03, 0xc3, 0x7e, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xfe, 0xc3, 0xc3, 0xc3, 0xc3, 0xfe, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0], [0x00, 0x00, 0x7e, 0xc3, 0xc0, 0xc0, 0xc0, 0xc3, 0x7e, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x7f, 0xc3, 0xc3, 0xc3, 0xc3, 0x7f, 0x03, 0x03, 0x03, 0x03, 0x03], [0x00, 0x00, 0x7f, 0xc0, 0xc0, 0xfe, 0xc3, 0xc3, 0x7e, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x30, 0x30, 0x30, 0x30, 0x30, 0xfc, 0x30, 0x30, 0x30, 0x33, 0x1e], [0x7e, 0xc3, 0x03, 0x03, 0x7f, 0xc3, 0xc3, 0xc3, 0x7e, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xc3, 0xfe, 0xc0, 0xc0, 0xc0, 0xc0], [0x00, 0x00, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x00, 0x00, 0x18, 0x00], [0x38, 0x6c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x00, 0x00, 0x0c, 0x00], [0x00, 0x00, 0xc6, 0xcc, 0xf8, 0xf0, 0xd8, 0xcc, 0xc6, 0xc0, 0xc0, 0xc0, 0xc0], [0x00, 0x00, 0x7e, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x78], [0x00, 0x00, 0xdb, 0xdb, 0xdb, 0xdb, 0xdb, 0xdb, 0xfe, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xc6, 0xc6, 0xc6, 0xc6, 0xc6, 0xc6, 0xfc, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x7c, 0xc6, 0xc6, 0xc6, 0xc6, 0xc6, 0x7c, 0x00, 0x00, 0x00, 0x00], [0xc0, 0xc0, 0xc0, 0xfe, 0xc3, 0xc3, 0xc3, 0xc3, 0xfe, 0x00, 0x00, 0x00, 0x00], [0x03, 0x03, 0x03, 0x7f, 0xc3, 0xc3, 0xc3, 0xc3, 0x7f, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xc0, 0xc0, 0xc0, 0xc0, 0xc0, 0xe0, 0xfe, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xfe, 0x03, 0x03, 0x7e, 0xc0, 0xc0, 0x7f, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x1c, 0x36, 0x30, 0x30, 0x30, 0x30, 0xfc, 0x30, 0x30, 0x30, 0x00], [0x00, 0x00, 0x7e, 0xc6, 0xc6, 0xc6, 0xc6, 0xc6, 0xc6, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x18, 0x3c, 0x3c, 0x66, 0x66, 0xc3, 0xc3, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xc3, 0xe7, 0xff, 0xdb, 0xc3, 0xc3, 0xc3, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xc3, 0x66, 0x3c, 0x18, 0x3c, 0x66, 0xc3, 0x00, 0x00, 0x00, 0x00], [0xc0, 0x60, 0x60, 0x30, 0x18, 0x3c, 0x66, 0x66, 0xc3, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0xff, 0x60, 0x30, 0x18, 0x0c, 0x06, 0xff, 0x00, 0x00, 0x00, 0x00], [0x00, 0x00, 0x0f, 0x18, 0x18, 0x18, 0x38, 0xf0, 0x38, 0x18, 0x18, 0x18, 0x0f], [0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18, 0x18], [0x00, 0x00, 0xf0, 0x18, 0x18, 0x18, 0x1c, 0x0f, 0x1c, 0x18, 0x18, 0x18, 0xf0], [0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x8f, 0xf1, 0x60, 0x00, 0x00, 0x00]]).astype(numpy.uint8) class Object3DRedBookFont: def __init__(self): self.rasters = rasters self.__initialized = 0 def initialize(self): self.makeRasterFont() def makeRasterFont(self): GL.glPixelStorei(GL.GL_UNPACK_ALIGNMENT, 1) self.fontOffset = GL.glGenLists(128) for i in range(32, 127): GL.glNewList(i + self.fontOffset, GL.GL_COMPILE) GL.glBitmap(8, 13, 0.0, 2.0, 10.0, 0.0, self.rasters[i-32]) GL.glEndList() def printString(self, text): GL.glPushAttrib(GL.GL_LIST_BIT) GL.glListBase(self.fontOffset) GL.glCallLists(text) GL.glPopAttrib() class TestWidget(qt.QGLWidget): def initializeGL(self): qt.QGLWidget.initializeGL(self) self.redBookFont = Object3DRedBookFont() self.redBookFont.initialize() def resizeGL(self, width, height): side = min(width, height) GL.glViewport((width - side) / 2, (height - side) / 2, side, side) GL.glMatrixMode(GL.GL_PROJECTION) GL.glLoadIdentity() GL.glOrtho(0.0, width, 0.0, height, -1.0, 1.0) GL.glMatrixMode(GL.GL_MODELVIEW) GL.glLoadIdentity() def paintGL(self): GL.glClear(GL.GL_COLOR_BUFFER_BIT) GL.glColor4f(1.0, 1.0, 1.0, 1.0) for i in range(32, 127, 32): teststring = "" GL.glRasterPos2i(20, 200 -18 * i/32) for j in range(32): teststring += "%c" % (i+j) self.redBookFont.printString(teststring) GL.glRasterPos2f(20, 100) self.redBookFont.printString("The quick brown fox jumps") GL.glRasterPos2i(20, 82) self.redBookFont.printString("over a lazy dog") def test(): app = qt.QApplication([]) w = TestWidget() w.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/Object3D/__init__.py0000644000276300001750000000252313136054446017537 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" __version__ = '1.0' PyMca5-5.2.2/PyMca5/Object3D/Object3DDirs.py0000644000276300001750000000640413136054446020221 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys import os DEBUG = 0 inputDir = None outputDir = None nativeFileDialogs = True class __ModuleWrapper(object): def __init__(self, wrapped): self.__dict__["_ModuleWrapper__wrapped"] = wrapped def __getattr__(self, name): if DEBUG: print("getting ", name) if name == "inputDir": if self.__wrapped.__dict__[name] is None: if self.__wrapped.__dict__['outputDir'] is not None: value = self.__wrapped.__dict__['outputDir'] else: value = os.getcwd() if not os.path.isdir(value): value = os.getcwd() self.__setattr__('inputDir', value) elif name == "outputDir": if self.__wrapped.__dict__[name] is None: if self.__wrapped.__dict__['inputDir'] is not None: value = self.__wrapped.__dict__['inputDir'] else: value = os.getcwd() if not os.path.isdir(value): value = os.getcwd() self.__setattr__('outputDir', value) if DEBUG: print("got ", name, getattr(self.__wrapped, name)) return getattr(self.__wrapped, name) def __setattr__(self, name, value): if DEBUG: print("setting ", name, value) if name == "inputDir": if os.path.isdir(value): self.__wrapped.__dict__[name]=value else: raise ValueError("Non existing directory %s" % value) elif name == "outputDir": if os.path.isdir(value): self.__wrapped.__dict__[name]=value else: raise ValueError("Non existing directory %s" % value) elif name == "nativeFileDialogs": self.__wrapped.__dict__[name]=value elif name.startswith("__"): self.__dict__[name]=value else: raise AttributeError("Invalid attribute %s" % name) #self.__wrapped.__dict__[name]=value sys.modules[__name__]=__ModuleWrapper(sys.modules[__name__]) PyMca5-5.2.2/PyMca5/Object3D/Scene.py0000644000276300001750000005505613136054446017046 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import numpy import OpenGL.GLU as GLU import weakref from . import ObjectTree from . import Object3DBase DEBUG = 0 class Scene(object): def __init__(self, name = 'Scene'): #self.tree = ObjectTree.ObjectTree('__Scene__', name) self.__sceneObject= Object3DBase.Object3D(name=name) self.__name = name self.__sceneObject.setSelected(True) ddict = {} ddict['common']={'anchor':[2, 2, 2]} #the zenith theta [z = r * cos(theta)] and azimuthal angles __currentViewMatrix = numpy.zeros((4,4), numpy.float32) for i in [0, 1, 2, 3]: __currentViewMatrix[i, i] = 1.0 ddict['private'] = {'face':'top', 'theta': 0.0, 'phi':0.0, 'view':__currentViewMatrix, 'zoom':1.0, 'widget':None} self.__sceneObject.setConfiguration(ddict) self.tree = ObjectTree.ObjectTree(self.__sceneObject, name) self.__limits = [-100., -100., -100., 100., 100.0, 100.0] self.__observerPosition = [0.0, 0.0, 0.0] self.__autoScale = True self.__sceneObject.setLimits(-100., -100., -100., 100., 100.0, 100.0) self.__transformationMatrix = __currentViewMatrix * 1 #axes handling self.__u = [1.0, 0.0, 0.0] self.__v = [0.0, 1.0, 0.0] self.__w = [0.0, 0.0, 1.0] self.__uvw = False def __getitem__(self, name): return self.tree.find(name) def getConfiguration(self): """ WARNING: This does not account for the order in the tree yet """ d={} for name in self.getObjectList(): if name in[self.__name, "Scene"]: d['Scene'] = self.__sceneObject.getConfiguration() else: d[name] = self.getObject3DProxy(name).getConfiguration() return d def setConfiguration(self, d): """ WARNING: This does not account for the order in the tree yet """ nameList = self.getObjectList() for name in d.keys(): if name in [self.__name, "Scene"]: del d[name]['private']['widget'] self.__sceneObject.setConfiguration(d[name]) #there is additional information added by this class self.__sceneObject._configuration['private']['phi']=\ d[name]['private']['phi'] self.__sceneObject._configuration['private']['theta']=\ d[name]['private']['theta'] self.__sceneObject._configuration['private']['view'] =\ d[name]['private']['view'] zoom = d[name]['private'].get('zoom', None) if zoom is not None: self.__sceneObject._configuration['private']['zoom'] =\ zoom elif name in nameList: del d[name]['private']['widget'] o3d =self.getObject3DProxy(name) o3d.setConfiguration(d[name]) elif DEBUG: print("name %s ignored" % name) self.updateTransformationMatrix() def name(self): return self.__sceneObject.name() def getObjectList(self): return self.tree.getList() def getObject3DProxy(self, name): #This is to avoid incrasing reference count ... return weakref.proxy(self[name].root[0]) def getIndex(self, name): return self.tree.getList().index(name) def addObject(self, ob, legend = None, parent="Scene"): """ Add an existing object to the scene. PARAMETERS: ob : the object to add Optional: legend : the name of the object in this scene parent : the name of the parent object """ if legend is None: if hasattr(ob, 'name'): legend = ob.name() else: legend = "Unnamed" parentTree = self.tree.find(parent) if parentTree is None: raise ValueError("Parent %s does not exist." % parent) if legend in self.getObjectList(): self.removeObject(legend) parentTree.addChild(ob, legend) def setThetaPhi(self, theta, phi): self.__sceneObject._configuration['private']['theta'] = theta self.__sceneObject._configuration['private']['phi'] = phi self.updateTransformationMatrix() def getThetaPhi(self): return self.__sceneObject._configuration['private']['theta'],\ self.__sceneObject._configuration['private']['phi'] def setZoomFactor(self, value): self.__sceneObject._configuration['private']['zoom'] = value def getZoomFactor(self): return self.__sceneObject._configuration['private']['zoom'] def applyCube(self, cubeFace=None): if cubeFace is not None: #this is for saving afterwards self.__sceneObject._configuration['private']['face'] = cubeFace else: cubeFace = self.__sceneObject._configuration['private']['face'] #let's do the job xmin, ymin, zmin, xmax, ymax, zmax = self.getLimits() centerX = 0.5 * (xmax + xmin) centerY = 0.5 * (ymax + ymin) centerZ = 0.5 * (zmax + zmin) sceneConfig = self.__sceneObject._configuration scale = sceneConfig['common']['scale'] anchor = [centerX*scale[0], centerY*scale[1], centerZ*scale[2]] if cubeFace == 'front': M = self.getRotationMatrix(0.0, 90., 180.0, anchor) M = numpy.dot(self.getRotationMatrix(90., 0.0, 0.0, anchor), M) elif cubeFace == 'back': M = self.getRotationMatrix(0.0, 90., 0.0, anchor) M = numpy.dot(self.getRotationMatrix(-90., 0.0, 0.0, anchor), M) elif cubeFace == 'top': M = self.getRotationMatrix(0.0, 0.0, 0.0, anchor) elif cubeFace == 'bottom': M = self.getRotationMatrix(0.0, 180.0, 0.0, anchor) elif cubeFace == 'right': M = self.getRotationMatrix(0.0, 90.0, 90.0, anchor) M = numpy.dot(self.getRotationMatrix(0., 90.0, 0.0, anchor), M) elif cubeFace == 'left': M = self.getRotationMatrix(-90.0, 0.0, 0.0, anchor) elif 0 and cubeFace == 'd45': M = self.getRotationMatrix(0.0, 45.0, 45.0, anchor) else: #nicest M = self.getRotationMatrix(0.0, 90., 180.0, anchor) if 0: #front + theta = 45 + phi = 20 M = numpy.dot(self.getRotationMatrix(90., 0.0, 0.0, anchor), M) M = numpy.dot(self.getRotationMatrix(0.0, 20.0, 45.0, anchor), M) else: #just the same M = numpy.dot(self.getRotationMatrix(90., 20.0, 45.0, anchor), M) #print "MATRIX = ", M return M def setCurrentViewMatrix(self, m): if m.shape in [(4,4), [4,4]]: self.__sceneObject._configuration['private']['view'] =\ m.astype(numpy.float32) else: raise ValueError("Trying to set an invalid transformation matrix") self.updateTransformationMatrix() def getCurrentViewMatrix(self): return self.__sceneObject._configuration['private']['view'] def updateTransformationMatrix(self): #this method is called to update the transformation matrix #in order not to have to calculate it each time the scene is drawn theta, phi = self.getThetaPhi() __currentViewMatrix = self.getCurrentViewMatrix() if (theta != 0.0) or (phi != 0.0): xmin, ymin, zmin, xmax, ymax, zmax = self.getLimits() centerX = 0.5 * (xmax + xmin) centerY = 0.5 * (ymax + ymin) centerZ = 0.5 * (zmax + zmin) #zenith angle theta in spherical coordinates z = r * cos(theta) #rotate theta around Y axis # theta #azimuthal angle phi in spherical coordinates #rotate phi around Z axis # phi = self.xRot sceneConfig = self.tree.root[0].getConfiguration() #I have to rotate around the center of the scene #taking into account the scale it will use scale = sceneConfig['common']['scale'] anchor = [centerX*scale[0], centerY*scale[1], centerZ*scale[2]] tmpM = self.getRotationMatrix(0.0,theta, phi, anchor=anchor) self.__transformationMatrix = numpy.dot(tmpM, __currentViewMatrix).astype(numpy.float32) else: self.__transformationMatrix[:,:] =\ __currentViewMatrix[:,:] def getTransformationMatrix(self): if not self.__uvw: return self.__transformationMatrix else: return numpy.dot(self.__uvwMatrix, self.__transformationMatrix).astype(numpy.float32) def gluLookAt(self, eyeX, eyeY, eyeZ, centerX, centerY, centerZ, upX, upY, upZ): F = numpy.array((centerX - eyeX, centerY - eyeY, centerZ - eyeZ), numpy.float) UP = numpy.array((upX, upY, upZ), numpy.float) M = numpy.zeros((4,4), numpy.float) M[0,0] = 1.0 M[1,1] = 1.0 M[2,2] = 1.0 M[3,3] = 1.0 fmod = numpy.sqrt(numpy.dot(F, F.T)) #numpy.linalg.norm(F) umod = numpy.sqrt(numpy.dot(UP, UP.T)) #numpy.linalg.norm(U) if (fmod <= 0.0) or (umod <= 0.0): return M F = F/fmod UP = UP/umod s = numpy.cross(F, UP) u = numpy.cross(s, F) M[0,0:3] = s M[1,0:3] = u M[2,0:3] = -F M = M.T #is this due to a PyOpenGL problem? #if this because OpenGL gluLookAt man pages # suggest order orientation and it is not the case??? # the translation -eyeX, -eyeY, -eyeZ if 0: # as pure matrix operation T = numpy.zeros((4,4), numpy.float) T[0,0] = 1.0 T[1,1] = 1.0 T[2,2] = 1.0 T[3,0] = -eyeX T[3,1] = -eyeY T[3,2] = -eyeZ T[3,3] = 1.0 M = numpy.dot(T, M) else: #just compute the last row M[3, 0] = -eyeX * M[0, 0] - eyeY * M[1, 0] - eyeZ * M[2, 0] M[3, 1] = -eyeX * M[0, 1] - eyeY * M[1, 1] - eyeZ * M[2, 1] M[3, 2] = -eyeX * M[0, 2] - eyeY * M[1, 2] - eyeZ * M[2, 2] return M def setSelectedObject(self, target): self.__sceneObject.setSelected(False) objectsList = self.getObjectList() for name in objectsList: item = self.tree.find(name) ob = item.root[0] if hasattr(ob, 'selected'): ob.setSelected(False) item = self.tree.find(target) if item is not None: ob = item.root[0] if hasattr(ob, 'selected'): ob.setSelected(True) if target == self.name(): self.__sceneObject.setSelected(True) def getSelectedObject(self): selectedObject = None if self.__sceneObject.selected(): selectedObject = self.name() else: objectsList = self.getObjectList() for name in objectsList: item = self.tree.find(name) ob = item.root[0] if ob.selected(): selectedObject = name break return selectedObject def removeObject(self, name): """ Delete an object. PARAMETERS : name : the name of the object to remove from scene """ #find the objectTree objectTree = self.tree.find(name) if objectTree is None: if DEBUG: raise ValueError("No object with name %s in tree." % name) return self.tree.delChild(name) def clearTree(self): #del self.tree[1:] for legend in self.getObjectList(): self.removeObject(legend) def setAutoScale(self, flag=True): if flag: self.__autoScale = True else: self.__autoScale = False def getAutoScale(self): return self.__autoScale def setAxesVectors(self, u, v, w, use=True): tmpMatrix = numpy.zeros((4,4), numpy.float64) tmpMatrix [0,0] = u[0] tmpMatrix [0,1] = u[1] tmpMatrix [0,2] = u[2] tmpMatrix [1,0] = v[0] tmpMatrix [1,1] = v[1] tmpMatrix [1,2] = v[2] tmpMatrix [2,0] = w[0] tmpMatrix [2,1] = w[1] tmpMatrix [2,2] = w[2] tmpMatrix [3,3] = 1.0 try: inverseMatrix = numpy.linalg.inv(tmpMatrix) except: raise self.__u = u self.__v = v self.__w = w self.__uvw = use self.__uvwMatrix = tmpMatrix def setObserverPosition(self, position): self.__observerPosition = position def getObserverPosition(self): return self.__observerPosition * 1 def setLimits(self, limits): self.__limits = limits xmin, ymin, zmin, xmax, ymax, zmax = limits self.__sceneObject.setLimits(xmin, ymin, zmin, xmax, ymax, zmax) #this does not seem to be necessary #conf={'common':{'limits':self.__sceneObject.getLimits()*1}} #self.__sceneObject.setConfiguration(conf) def setOrthoLimits(self, xmin, ymin, zmin, xmax, ymax, zmax): self.__orthoLimits = [xmin, ymin, zmin, xmax, ymax, zmax] def getMinMax(self, a, b): if a > b: t = b * 1 b = a * 1 a = t return a, b def _updateObjectLimits(self, xmin, ymin, zmin, xmax, ymax, zmax): if not self.__uvw: return xmin, ymin, zmin, xmax, ymax, zmax u = self.__u v = self.__v w = self.__w x0 = xmin * u[0] + ymin * v[0] + zmin * w[0] y0 = xmin * u[1] + ymin * v[1] + zmin * w[1] z0 = xmin * u[2] + ymin * v[2] + zmin * w[2] x1 = xmax * u[0] + ymax * v[0] + zmax * w[0] y1 = xmax * u[1] + ymax * v[1] + zmax * w[1] z1 = xmax * u[2] + ymax * v[2] + zmax * w[2] if x1 < x0: xmin = x1 xmax = x0 else: xmin = x0 xmax = x1 if y1 < y0: ymin = y1 ymax = y0 else: ymin = y0 ymax = y1 if z1 < z0: zmin = z1 zmax = z0 else: zmin = z0 zmax = z1 return xmin, ymin, zmin, xmax, ymax, zmax def getLimits(self): if not self.__autoScale: return self.__limits objectList = self.getObjectList() n = len(objectList) if n < 2: return self.__limits ob = self.tree.find(objectList[1]).root[0] if hasattr(ob, 'getLimits'): limits = ob.getLimits() xmin0, ymin0, zmin0 = limits[0] xmax0, ymax0, zmax0 = limits[1] xmin0, ymin0, zmin0, xmax0, ymax0, zmax0 = self._updateObjectLimits(\ xmin0, ymin0, zmin0, xmax0, ymax0, zmax0) xScale, yScale,zScale = ob.getConfiguration()['common']['scale'] xmin0 *= xScale ymin0 *= yScale zmin0 *= zScale xmax0 *= xScale ymax0 *= yScale zmax0 *= zScale else: limits = [[self.__limits[0], self.__limits[1], self.__limits[2]], [self.__limits[3], self.__limits[4], self.__limits[5]]] xmin0, ymin0, zmin0 = limits[0] xmax0, ymax0, zmax0 = limits[1] #take care of wrong information due to scaling or not xmin0, xmax0 = self.getMinMax(xmin0, xmax0) ymin0, ymax0 = self.getMinMax(ymin0, ymax0) zmin0, zmax0 = self.getMinMax(zmin0, zmax0) if n > 2: for name in objectList[1:]: ob = self.tree.find(name).root[0] if hasattr(ob, 'getLimits'): limits = ob.getLimits() xmin, ymin, zmin = limits[0] xmax, ymax, zmax = limits[1] xmin, ymin, zmin, xmax, ymax, zmax = self._updateObjectLimits(\ xmin, ymin, zmin, xmax, ymax, zmax) #correct for scale xScale, yScale,zScale = ob.getConfiguration()['common']['scale'] xmin *= xScale ymin *= yScale zmin *= zScale xmax *= xScale ymax *= yScale zmax *= zScale xmin, xmax = self.getMinMax(xmin, xmax) ymin, ymax = self.getMinMax(ymin, ymax) zmin, zmax = self.getMinMax(zmin, zmax) if xmin < xmin0: xmin0 = xmin if ymin < ymin0: ymin0 = ymin if zmin < zmin0: zmin0 = zmin if xmax > xmax0: xmax0 = xmax if ymax > ymax0: ymax0 = ymax if zmax > zmax0: zmax0 = zmax if zmax0 == zmin0: zmax0 = zmin0 + 1 zmin0 -= 1 if xmin0 == xmax0: d = 0.5 * (ymax0 - ymin0) xmin0 -= d xmax0 += d if ymin0 == ymax0: d = 0.5 * (xmax0 - xmin0) ymin0 -= d ymax0 += d self.setLimits([xmin0, ymin0, zmin0, xmax0, ymax0, zmax0]) return self.__limits * 1 def drawTree(self, tree): """ Draw a tree. NOTES : 'glPopName' happened BEFORE the recursive call : we want to catch an object, not its parent 'glPopMatrix' happend AFTER this call, because the drawing matrix is depending on its parent """ for subTree in tree.childList(): name = subTree.name() opengl.glPushMatrix() opengl.glPushName(self.scene.getIndex(name)) self.scene[name].draw(self.selectedObject == name) opengl.glPopName() self.drawTree(subTree) opengl.glPopMatrix() def getRotationMatrix(self, xRot, yRot, zRot, anchor=None): """ Angles given in degrees!!!! """ M = numpy.zeros((4,4), numpy.float64) M[0, 0] = 1 M[1, 1] = 1 M[2, 2] = 1 M[3, 3] = 1 if (xRot == 0) and (yRot == 0) and (zRot == 0): return M if anchor is None: anchorPosition = [0.0, 0.0, 0.0] else: anchorPosition = anchor trans = M * 1 rotX = M * 1 rotY = M * 1 rotZ = M * 1 #translation M[3, 0] = anchorPosition[0] M[3, 1] = anchorPosition[1] M[3, 2] = anchorPosition[2] #this works #RotX angle = xRot * numpy.pi/180. cs = numpy.cos(angle) sn = numpy.sin(angle) rotX = numpy.zeros((4,4), numpy.float64) rotX[0,0] = 1 rotX[1,1] = 1 rotX[2,2] = 1 rotX[3,3] = 1 rotX[1,1] = cs; rotX[1,2] = sn rotX[2,1] = -sn; rotX[2,2] = cs #RotY angle = yRot * numpy.pi/180. cs = numpy.cos(angle) sn = numpy.sin(angle) rotY = numpy.zeros((4,4), numpy.float64) rotY[0,0] = 1 rotY[1,1] = 1 rotY[2,2] = 1 rotY[3,3] = 1 rotY[0,0] = cs; rotY[0,2] = -sn #inverted respect to the others rotY[2,0] = sn; rotY[2,2] = cs #RotZ angle = zRot * numpy.pi/180. cs = numpy.cos(angle) sn = numpy.sin(angle) rotZ = numpy.zeros((4,4), numpy.float64) rotZ[0,0] = 1 rotZ[1,1] = 1 rotZ[2,2] = 1 rotZ[3,3] = 1 rotZ[0,0] = cs; rotZ[0,1] = sn rotZ[1,0] = -sn; rotZ[1,1] = cs #The final rotation matrix rotMatrix = numpy.dot(rotZ,numpy.dot(rotY, rotX)) #perform the in-place rotation #GL.glMultMatrixd(rotMatrix) #find out where the anchor goes under that rotation trans = numpy.zeros((4,4), numpy.double) trans[0,0] = 1.0 trans[1,1] = 1.0 trans[2,2] = 1.0 trans[3,3] = 1.0 trans[3,0] = anchorPosition[0] trans[3,1] = anchorPosition[1] trans[3,2] = anchorPosition[2] distance = numpy.dot(rotMatrix, trans) # and subtract it trans[3,0] = -distance[3,0] trans[3,1] = -distance[3,1] trans[3,2] = -distance[3,2] M = numpy.dot(trans, numpy.dot(rotMatrix,M)) return M if __name__ == "__main__": import Object3DBase try: from PyMca5 import Object3DQt as qt except: from . import Object3DQt as qt app = qt.QApplication([]) w = Scene() o0 = Object3DBase.Object3D("DummyObject0") o1 = Object3DBase.Object3D("DummyObject1") o01 = Object3DBase.Object3D("DummyObject01") w.addObject(o0) w.addObject(o1) w.addObject(o01) print(w.tree) w.addObject(o0, parent="DummyObject01") print(w.tree) PyMca5-5.2.2/PyMca5/Object3D/Object3DColormap.py0000644000276300001750000003067213136054446021100 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" import sys from . import Object3DQt as qt from . import Object3DSlider DEBUG = 0 class Object3DColormap(qt.QGroupBox): sigObject3DColormapSignal = qt.pyqtSignal(object) def __init__(self, parent = None): qt.QGroupBox.__init__(self, parent) self.setTitle('Colormap') self.colormapList = ["Greyscale", "Reverse Grey", "Temperature", "Red", "Green", "Blue", "Many"] # default values self.dataMin = -10 self.dataMax = 10 self.minValue = 0 self.maxValue = 1 self.colormapIndex = 2 self.colormapType = 0 self.autoscale = False self.autoscale90 = False self.__disconnected = False self.build() self._update() def build(self): self.mainLayout = qt.QGridLayout(self) self.mainLayout.setContentsMargins(0, 0, 0, 0) self.mainLayout.setSpacing(2) # the ComboBox self.comboBox = qt.QComboBox(self) for colormap in self.colormapList: self.comboBox.addItem(colormap) self.mainLayout.addWidget(self.comboBox, 0, 0) self.comboBox.activated[int].connect(self.colormapChanged) # autoscale self.autoScaleButton = qt.QPushButton("Autoscale", self) self.autoScaleButton.setCheckable(True) self.autoScaleButton.setAutoDefault(False) self.autoScaleButton.toggled[bool].connect(self.autoscaleChanged) self.mainLayout.addWidget(self.autoScaleButton, 0, 1) # autoscale 90% self.autoScale90Button = qt.QPushButton("Autoscale 90%", self) self.autoScale90Button.setCheckable(True) self.autoScale90Button.setAutoDefault(False) self.autoScale90Button.toggled[bool].connect(self.autoscale90Changed) self.mainLayout.addWidget(self.autoScale90Button, 0, 2) #the checkboxes self.buttonGroup = qt.QButtonGroup() g1 = qt.QCheckBox(self) g1.setText("Linear") g2 = qt.QCheckBox(self) g2.setText("Logarithmic") g3 = qt.QCheckBox(self) g3.setText("Gamma") self.buttonGroup.addButton(g1, 0) self.buttonGroup.addButton(g2, 1) self.buttonGroup.addButton(g3, 2) self.buttonGroup.setExclusive(True) if self.colormapType == 1: self.buttonGroup.button(1).setChecked(True) elif self.colormapType == 2: self.buttonGroup.button(2).setChecked(True) else: self.buttonGroup.button(0).setChecked(True) self.mainLayout.addWidget(g1, 1, 0) self.mainLayout.addWidget(g2, 1, 1) self.mainLayout.addWidget(g3, 1, 2) self.buttonGroup.buttonClicked[int].connect(self.buttonGroupChanged) # The max line label = qt.QLabel(self) label.setText('Maximum') self.maxText = qt.QLineEdit(self) self.maxText.setText("%f" % self.maxValue) self.maxText.setAlignment(qt.Qt.AlignRight) self.maxText.setFixedWidth(self.maxText.fontMetrics().width('######.#####')) v = qt.QDoubleValidator(self.maxText) self.maxText.setValidator(v) self.mainLayout.addWidget(label, 0, 3) self.mainLayout.addWidget(self.maxText, 0, 4) self.maxText.editingFinished.connect(self.textChanged) # The min line label = qt.QLabel(self) label.setText('Minimum') self.minText = qt.QLineEdit(self) self.minText.setFixedWidth(self.minText.fontMetrics().width('######.#####')) self.minText.setAlignment(qt.Qt.AlignRight) self.minText.setText("%f" % self.minValue) v = qt.QDoubleValidator(self.minText) self.minText.setValidator(v) self.mainLayout.addWidget(label, 1, 3) self.mainLayout.addWidget(self.minText, 1, 4) self.minText.editingFinished.connect(self.textChanged) # The sliders self.dataMin = -10 self.dataMax = 10 self.minValue = 0 self.maxValue = 1 self.sliderList = [] delta = (self.dataMax-self.dataMin) / 200. for i in [0, 1]: slider = Object3DSlider.Object3DSlider(self, qt.Qt.Horizontal) slider.setRange(self.dataMin, self.dataMax, delta) if i == 0: slider.setValue(self.maxValue) else: slider.setValue(self.minValue) self.mainLayout.addWidget(slider, i, 5) slider.valueChanged.connect(self.sliderChanged) self.sliderList.append(slider) def colormapChanged(self, value): self.colormapIndex = value self._emitSignal() def autoscaleChanged(self, value): self.autoscale = value self.__disconnected = True self.setAutoscale(value) self.__disconnected = False self._emitSignal() def autoscale90Changed(self, value): self.autoscale90 = value self.__disconnected = True self.setAutoscale90(value) self.__disconnected = False self._emitSignal() def buttonGroupChanged(self, value): self.colormapType = value self._emitSignal() def textChanged(self): valueMax = float(str(self.maxText.text())) valueMin = float(str(self.minText.text())) a = min(valueMax, valueMin) b = max(valueMax, valueMin) self.maxText.setText("%f" % b) self.minText.setText("%f" % a) oldMin = min(self.sliderList[0].value(), self.sliderList[1].value()) oldMax = max(self.sliderList[0].value(), self.sliderList[1].value()) emit = False self.__disconnected = True if (oldMax - valueMax) != 0.0: emit = True self.sliderList[0].setValue(valueMax) if (oldMin - valueMin) != 0.0: emit = True self.sliderList[1].setValue(valueMax) self.minValue = valueMin self.maxValue = valueMax self.__disconnected = False if emit: self._emitSignal() def sliderChanged(self, value): if self.__disconnected: return if DEBUG: print("sliderChanged") value0 = self.sliderList[0].value() value1 = self.sliderList[1].value() self.maxText.setText("%f" % max(value0, value1)) self.minText.setText("%f" % min(value0, value1)) self.minValue = min(value0, value1) self.maxValue = max(value0, value1) self._emitSignal() def _update(self): if DEBUG: print("colormap _update called") self.__disconnected = True delta = (self.dataMax - self.dataMin)/ 200. self.sliderList[0].setRange(self.dataMin, self.dataMax, delta) self.sliderList[0].setValue(self.maxValue) self.sliderList[1].setRange(self.dataMin, self.dataMax, delta) self.sliderList[1].setValue(self.minValue) self.maxText.setText("%g" % self.maxValue) self.minText.setText("%g" % self.minValue) self.comboBox.setCurrentIndex(self.colormapIndex) self.buttonGroup.button(self.colormapType).setChecked(True) self.setAutoscale(self.autoscale) self.setAutoscale90(self.autoscale90) self.__disconnected = False def _emitSignal(self, event = None): if self.__disconnected: return if event is None: event = 'ColormapChanged' if DEBUG: print("sending colormap") ddict = self.getParameters() ddict['event'] = event self.sigObject3DColormapSignal.emit(ddict) def setAutoscale(self, val): if DEBUG: print("setAutoscale called", val) if val: self.autoScaleButton.setChecked(True) self.autoScale90Button.setChecked(False) self.setMinValue(self.dataMin) self.setMaxValue(self.dataMax) for slider in self.sliderList: self.__disconnected = True delta = (self.dataMax - self.dataMin)/200. slider.setRange(self.dataMin, self.dataMax, delta) slider.setEnabled(False) self.__disconnected = False self.maxText.setEnabled(0) self.minText.setEnabled(0) else: self.autoScaleButton.setChecked(False) self.autoScale90Button.setChecked(False) self.minText.setEnabled(1) self.maxText.setEnabled(1) for slider in self.sliderList: slider.setEnabled(True) def setAutoscale90(self, val): if val: self.autoScaleButton.setChecked(False) self.setMinValue(self.dataMin) self.setMaxValue(self.dataMax - abs(self.dataMax/10.)) for slider in self.sliderList: self.__disconnected = True delta = (self.dataMax - self.dataMin)/200. slider.setRange(self.dataMin, self.dataMax, delta) slider.setEnabled(False) self.__disconnected = False self.minText.setEnabled(0) self.maxText.setEnabled(0) else: self.autoScale90Button.setChecked(False) if not self.autoscale: self.minText.setEnabled(1) self.maxText.setEnabled(1) for slider in self.sliderList: self.__disconnected = True delta = (self.dataMax - self.dataMin)/200. slider.setRange(self.dataMin, self.dataMax, delta) slider.setEnabled(True) self.__disconnected = False # MINIMUM """ change min value and update colormap """ def setMinValue(self, val): v = float(str(val)) self.minValue = v self.minText.setText("%g"%v) self.__disconnected = True self.sliderList[1].setValue(v) self.__disconnected = False # MAXIMUM """ change max value and update colormap """ def setMaxValue(self, val): v = float(str(val)) self.maxValue = v self.maxText.setText("%g"%v) self.__disconnected = True self.sliderList[0].setValue(v) self.__disconnected = False def getParameters(self): ddict = {} if self.minValue > self.maxValue: vMax = self.minValue else: vMax = self.maxValue ddict['colormap'] = [self.colormapIndex, self.autoscale, self.minValue, vMax, self.dataMin, self.dataMax, self.colormapType] return ddict def setParameters(self, ddict): if 'colormap' in ddict: self.__disconnected = True self.colormapIndex, self.autoscale, \ self.minValue, self.maxValue, \ self.dataMin, self.dataMax, \ self.colormapType = ddict['colormap'] self._update() self.__disconnected = False def test(): app = qt.QApplication(sys.argv) app.lastWindowClosed.connect(app.quit) def slot(ddict): print("ddict= ", ddict) demo = Object3DColormap() demo.sigObject3DColormapSignal.connect(slot) demo.show() app.exec_() if __name__ == "__main__": test() PyMca5-5.2.2/PyMca5/Object3D/doc/0000755000276300001750000000000013205526235016166 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/Object3D/doc/DemoPlugin.py0000644000276300001750000000432013136054446020605 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" from Object3D import Object3DBase from OpenGL.GL import * class Object3DDemo(Object3DBase.Object3D): def __init__(self, name="Demo"): Object3DBase.Object3D.__init__(self, name) # I have to give the limits I am going to use in order # to calculate a proper bounding box self.setLimits(-1.0, 0.0, 0.0, 1.0, 1.0, 0.0) def drawObject(self): # this is to handle transparency alpha = 1. - self._configuration['common']['transparency'] #some simple drawing glShadeModel(GL_SMOOTH) glBegin(GL_TRIANGLES) glColor4f( 1.0, 0.0, 0.0, alpha) glVertex3f(-1.0, 0.0, 0.0) glColor4f( 0.0, 1.0, 0.0, alpha) glVertex3f( 0.0, 1.0, 0.0) glColor4f( 0.0, 0.0, 1.0, alpha) glVertex3f( 1.0, 0.0, 0.0) glEnd() MENU_TEXT = 'Demo' def getObject3DInstance(config=None): return Object3DDemo() PyMca5-5.2.2/PyMca5/Object3D/GLWidgetCachePixmap.py0000644000276300001750000002166213136054446021556 0ustar solebliss00000000000000#/*########################################################################## # Copyright (C) 2004-2014 V.A. Sole, European Synchrotron Radiation Facility # # This file is part of the PyMca X-ray Fluorescence Toolkit developed at # the ESRF by the Software group. # # This file is free software; you can redistribute it and/or modify it # under the terms of the GNU Lesser General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your option) # any later version. # # This file is distributed in the hope that it will be useful, but WITHOUT ANY # WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS # FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more # details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA # # Please contact the ESRF industrial unit (industry@esrf.fr) if this license # is a problem for you. # #############################################################################*/ __author__ = "V.A. Sole - ESRF Data Analysis" __contact__ = "sole@esrf.fr" __license__ = "LGPL2+" __copyright__ = "European Synchrotron Radiation Facility, Grenoble, France" try: import OpenGL.GL as GL except ImportError: raise ImportError("OpenGL must be installed to use these functionalities") from . import Object3DQt as qt import numpy DEBUG = 0 class GLWidgetCachePixmap(object): def __init__(self, name="Unnamed"): self.__name = name self.__pixmap = None self.__textureId = None self.drawList = 0 self.__alpha = 1.0 self._limits = numpy.zeros((2,3), numpy.float32) def getTextureId(self): return self.__textureId def openGLCleanup(self): if DEBUG: print("CLEANING OPENGL") if self.drawList <= 0: GL.glDeleteLists(self.drawList, 1) self.drawList = 0 if self.__textureId is not None: GL.glDeleteTextures([self.__textureId]) self.__textureId = None def setPixmap(self, pixmap, width, height, xmirror = False, ymirror = False, z=0.0): if not hasattr(pixmap, "dtype"): raise ValueError("Input pixmap has to be an uint8 array") useNewTexture = True if self.__pixmap is not None: if (width == self.__width) and (height == self.__height): useNewTexture = False #I force always for the time being useNewTexture = True #make sure we work with integers self.__width = int(width) self.__height = int(height) # some cards still need to pad to powers of 2 self.__tWidth = self.getPaddedValue(self.__width) self.__tHeight = self.getPaddedValue(self.__height) if (self.__tWidth != self.__width) or (self.__tHeight != self.__height): #I have to zero padd the texture to make sure it works on all cards ... self.__pixmap = numpy.zeros((self.__tWidth*self.__tHeight, 4), numpy.uint8) pixmap.shape = [width*height, 4] tjump = self.__tWidth pjump = self.__width for i in range(height): self.__pixmap[i*tjump:(i*tjump+pjump), :] = pixmap[(i*pjump):(i+1)*pjump,:] else: self.__pixmap = pixmap self.__pixmap.shape = [width*height, 4] self.__pixmap[:,3] = 255 #alpha self.__xMirror = xmirror self.__yMirror = ymirror self._forceListCalculation = True self._forceTextureCalculation = True self._useNewTexture = useNewTexture self.setLimits(0.0, 0.0, z, self.__width, self.__height, z) def getLimits(self): """ This method returns the limits of the object Typically will be its bounding box. The form is a 2 row numpy array: [[xmin, ymin, zmin], [xmax, ymax, zmax]] """ return self._limits def setLimits(self, xmin, ymin, zmin, xmax, ymax, zmax): self._limits[0,:] = xmin, ymin, zmin self._limits[1,:] = xmax, ymax, zmax self._forceListCalculation = True def drawObject(self): if self.__pixmap is None: return #if self.__xMirror or self.__yMirror: # self.__mirrorRotator(self.__xMirror, self.__yMirror) if self._forceTextureCalculation: self.buildTexture() GL.glPushAttrib(GL.GL_ALL_ATTRIB_BITS) GL.glDisable(GL.GL_DEPTH_TEST) GL.glEnable(GL.GL_BLEND) GL.glBlendFunc(GL.GL_SRC_ALPHA, GL.GL_ONE_MINUS_SRC_ALPHA) if self._forceListCalculation: self.buildQuad() if self.drawList: GL.glCallList(self.drawList) #else: # self.buildQuad() GL.glPopAttrib() def buildTexture(self): """ Normal procedure: Generate a texture name with glGenTextures. Select the new texture with glBindTexture. Fill the texture with an image using glTexImage2D. Set the texture's minification and magnification filters using glTexParameteri. Enable 2D textures with glEnable. When producing geometry, bind the texture before starting the polygon and then set a texture coordinate with glTexCoord before each glVertex. gl.glTexSubImage2D(texture.getTarget(), 0, // no support for mipmapping x, y + row, // in texture bounds.width, 1, GL.GL_BGRA, type, dataBuffer ); """ if self._useNewTexture: if self.__textureId is not None: GL.glDeleteTextures([self.__textureId]) self.__textureId = GL.glGenTextures(1) else: if self.__textureId is None: self.__textureId = GL.glGenTextures(1) else: GL.glDeleteTextures([self.__textureId]) self.__textureId = GL.glGenTextures(1) if self.__textureId is None: print("no valid texture id?") return if self._useNewTexture: GL.glBindTexture(GL.GL_TEXTURE_2D, self.__textureId) GL.glTexParameteri( GL.GL_TEXTURE_2D, GL.GL_TEXTURE_WRAP_T, GL.GL_REPEAT ) GL.glTexParameteri( GL.GL_TEXTURE_2D, GL.GL_TEXTURE_WRAP_S, GL.GL_REPEAT ) linear = 0 if linear: GL.glTexParameteri( GL.GL_TEXTURE_2D, GL.GL_TEXTURE_MAG_FILTER, GL.GL_LINEAR ) GL.glTexParameteri( GL.GL_TEXTURE_2D, GL.GL_TEXTURE_MIN_FILTER, GL.GL_LINEAR ) else: #Nearest on magnification GL.glTexParameteri( GL.GL_TEXTURE_2D, GL.GL_TEXTURE_MAG_FILTER, GL.GL_NEAREST ) #Linear when minimizing GL.glTexParameteri( GL.GL_TEXTURE_2D, GL.GL_TEXTURE_MIN_FILTER, GL.GL_LINEAR ) GL.glTexImage2D(GL.GL_TEXTURE_2D, 0, GL.GL_RGBA, self.__tWidth, self.__tHeight, 0, GL.GL_RGBA, GL.GL_UNSIGNED_BYTE, self.__pixmap) GL.glEnable(GL.GL_TEXTURE_2D) else: GL.glBindTexture(GL.GL_TEXTURE_2D, self.__textureId) GL.glTexSubImage2D(GL.GL_TEXTURE_2D, 0, 0, 0, self.__tWidth, self.__tHeight, GL.GL_RGBA, GL.GL_UNSIGNED_BYTE, self.__pixmap) GL.glEnable(GL.GL_TEXTURE_2D) self._forceTextureCalculation = False def buildQuad(self): if self.drawList > 0: GL.glDeleteLists(self.drawList, 1) xmin, ymin, zmin = self._limits[0] xmax, ymax, zmax = self._limits[1] tx0 = 0.0 tx1 = (1.0 * self.__width)/self.__tWidth ty0 = 0.0 ty1 = (1.0 * self.__height)/self.__tHeight self.drawList = GL.glGenLists(1) GL.glNewList(self.drawList, GL.GL_COMPILE) #The texture gets multiplied by this color!! GL.glColor4f(1.0, 1.0, 1.0, self.__alpha) GL.glBindTexture(GL.GL_TEXTURE_2D, self.__textureId) GL.glEnable(GL.GL_TEXTURE_2D) GL.glBegin(GL.GL_QUADS) GL.glTexCoord2d(tx0, ty0) GL.glVertex3f(xmin, ymin, zmin) GL.glTexCoord2d(tx0, ty1) GL.glVertex3f(xmin, ymax, zmin) GL.glTexCoord2d(tx1, ty1) GL.glVertex3f(xmax, ymax, zmin) GL.glTexCoord2d(tx1, ty0) GL.glVertex3f(xmax, ymin, zmin) GL.glEnd() GL.glDisable(GL.GL_TEXTURE_2D) GL.glEndList() self._forceListCalculation = False def getPaddedValue(self, v): a = 2 while (a

t\_zMʘ_qjm>Z4Үd>ך͜SПCe)C*;nϱy-W߽u㯟@C|hꐁ$Ցk$M8n܁梆K xgI#ڱ, "vuu:bdUuDħ$=mu]hK5uyY`">@i>MX2N a Iet_y^t q Ң{L~y7.^C|3%?0 h:TRXJE'ns7vhOZ=DP&Gi:[Δ:6Q7?#i a)r$?7爻L Gѓm!M;olƒN UӽYԆ.^}zO-^VJRfNr$ϡU]/oK+ؠ_C x#;J(Y 9ї}+gnͫW,b sF b+"@Ʈ%<ž9k:4D@r}WW%?omO@M$C8G5y=FEr%vHeml|dϔf> endobj 8 0 obj<>/ProcSet[/PDF/Text]/ExtGState<>>> endobj 9 0 obj<>stream HWrF}W#k"s֖e֮+X+ Zp(R!@==3e{i{ONFOll`DȂY2oY]-O84sl1T']ͺ]is]ɧpYls[l d7kmW*LƪMۜglk>f1{7;X5{_~5[Y/բ,Xa]8Y[:6v6ojޜ2WemvO> "!/e֛B$,I^$h`Yx w,A31>9X:WFGw}Ԧ@>>)I<{ɛ?5$KyN͊Ymڮt CY֛2d k &>PM}ԻP]Ɵ)'%/|YsK4޴5Ķu@%W*gRe!Q}2{ȧ2MZuW/=iGU/f}l 6۲>Sx餜z.SuwM ݖUv^XWֲvtW=(#M9~оXuD@1c`Qkꯤ639ܻR噏Cǁzb;Rنλ ]pu 4LgLy9:rm5'4Њ`/uݨp=8Дх5;:NhǤ.|ckZdS\lw:7ȣEЇ!E[Mְt rMuv5jDa;ۤQV1ƂGnJޠ'l}y$q @zFEx8{ q=2?8[&W*$$ DQדdljph )ElGϋ\L>8j[VVBL@4fYe=RX.-->~FB%0˧Ȯri,5RÐdNkwxÐ3Һ4Pr.A! W7J_REgW'Շ-b2\"%$#QRE!}S A)1+Pa#͌G Oq h2(Lq^/N\m6( BXQ@H팈͌tr9 hԈ>  1d'<#21JVsh o@m51 L4,mi/E) 3 hmqS ZZzMzX}T@ 0}Ǻ9p0 Aͧx LdU<#Ei1f=}hI`;DlV &o<"nvQ=׺ !8'AR PV*cc]eZFC'-dlM qU Uf߼މ8ą &Yk{j>tS?WO3h[" bMaY\L^u j{Z76[//Ѓ 8Nfka/,|`ͦ#ݧPJ{$zG6/3vTѮI vogN-&?m T?)?r|k䃮bjG+[m#o[·5$=LHeCYqLE;!~xW*^a ZQ'2Ԑ>Z7x+ݫْA4_]]1wxq3l8jΫAhYFI k1g܀ѹys9ùVT$"{87f [d@ ɟ )6*C+]_bc#݁\*;y"0|VV) lO)N|ah86a/SFHFqv6D sa{fe1"S.LHx02{h}ب:4""rq`|j"P 8Vp }Lr`csb] p/,UDi"dS0)0g:@˛ 3X1 ]A-"xk$Q΃(Xs1Kw_b.—*śf+1ND81abQH*KafAVخuc.Ѻc8doB02-!^4+[ tX$fP=q=N9Eb Kf0ݩ^ES93ϠJ՘M ڊͺY@KOpGҙO鰮ILs,yRzӰkufd@ Mnly6n_ ,bpr @"BI-/! zOuOHJ^IvL?jT-jK]j*N J?N8} Ȳq1RJ9f,*zJQcFC_ۮC c˦VCLn[!)8ˬIHhH3+}SyH5/n !AB=mے&8J =ztP|Tڼږޤ(}sz J=I|Jd. I"utߚ7'-m*:L_ۿsyBQ#DOxȺ#aMq' V}|ey*F͈`'~QDOthN)_XJ.YAZM1?h+$8ÔM򞠅o Hn(pooQ@u@裪4מ5q^R:֢Nx>cFh'ԀDE4=I0lg<$0KlnGdf&ΰW9:郌.1dkDzzs"+W%3肛& νuF \IWyTE< 4)\G c$, ifiγ(ue4%QOuKHH0ܤ3ܚ РKnv%i&tlE]_O|/Q,stD)(A+ MڌBUWїM6+M/)KPڿ99C<+K-n뱸ZHUDH.4 #ܻ/?& ¡ J>vwHv>%w| AJyt-ۍl5æYU r!@";%?aY3{]Ll Ldm,z1ieLV)PZ8z&@ >OyGIکrWp_Q}DupB=#{* :BFzs:[cn| ho5SEMU]k[3R5nR0=39nd'̂`Th!FrG~dU4{$YADV_ endstream endobj 10 0 obj<> endobj 11 0 obj<>/ProcSet[/PDF/Text]/ExtGState<>>> endobj 12 0 obj<>stream HWے}WLih\rٔˣ !C4/^4涕E}On~syݴff36+.K/\7):iJٯRv9"oIS yH4KRQʰyLyRFcUXofvgIyV[&'c\~\(/}ˤi|V%_EGf\&E5rTx-1nCpGsox ۅQRrfF6 G,ut=dRiqy"aLd)ll[3k<n+|!l!1r^G"ȐtĨ1D"x@ߦiɓ&rx,zC{EREdϽyU{S35rPT:[~1 TPY> k<;Na&(#y5n(Jy(A@Z2'H 8=BiR(vR-K-+4aU!VteL;,tݙŤoAO0gOS=6wnh)n7&:Y_גg7 h_kOe]Zݫ~;KKG9ޛnxes(NvsoԴWD}cWY\Ex\wrLdC6r >6^)?nڭ{S-wobvz˼4]ό]ڜaaiNk ?$^cEa ʟ"T%@ ΊL(M endstream endobj 13 0 obj<>stream HUoEfv@J4nR I$ 1Po%H{6QrYz@R{ȁ?`+.)BBpˡ'$'!CeoC3y{?yy0.!Osc Sǂ8ׯ(\-;}тߺjR?]!!@^#>Y(׷z>$#.*,~DmGF$̖[ ;NVgߩNƙ?B<1".#Cޖi-Y$~Cə9$5+me\gZn*&_jk%s]hDrst!&UjtyaԤNf"jBRͻưt k\Hg_Θn e=K14O"Ef K DW2/eKɰHZaTsJKMbTRʷ';XshJg%MRXdtpD["fS7z1ṦHhW"b=CČJ+̱:D?+;{K^v8v.9}Oe?}1OڶU9}ѭ3 žd =N"ߡN(pD=OoF}Gnx}߻pkJH7>>s'uLПG^&ص"0A w~>3V{o}um8ozJ/Ҿ݂E>u%zq_`H A}CԳgZ(HWmީrM-l*UR|\MNLSӥ5UkvuΏͦS sguz(bG)i]M=͘6ʔ dTy޳ڗGILp(qC5lJrKg9=tz 7&̹=~g^v߮N~݇]n'%3 endstream endobj 14 0 obj<> endobj 15 0 obj<> endobj 16 0 obj<> endobj 17 0 obj<>stream HW TSWYD6:PT^@B@Ihc$VT *VK]p"uez*8պTVtQ֙s朙3g; %KE^^ UX7*i >5h8l[v8aHv1e/@ N4ڬ?5N%/DQpe0<# f dnU׸{#`8BũC-Z3ѭ @L=a9,0zo =z/#!u ._ĕĬu!e&!vqfsy!\dkX:&[{oX Bc,}cul şOix/9\ps0bz *N.QwȣkW oQi>\_qeOñw 6O0DC؍*cy$U`żi_ E/ ྉ~K*Jk-9PEz*VJ< C0$⩸z2Ht,IGb|ƌ" ]S#C@gVbt̲2pZf CEe>;<]']Puuuܬz2ϿWi^xkv9\#2U{Bue>-g=řMinލoԬTwkI:ّ_,_9u\,{2$[%k=Ly+[*_a.9xh.1arU e9xtV4+5w3U$WT#>Ǿ˝ߺ|<1wzI[(n!(g)Ea ;MR.6yN3^誸ֶ$c<}qcO2~acTC˕֑ s"%mjE>ab}i/wV7ӫv04}#Z>s9G p>%~=L3>]l &Ŗ#MVWTXTNx]^º~',󓓒Dkz7.40m?KÜ^V7`qc^w.!% `hײ &ӣ(2wG^`KMs;1%N}~RLF TNBs Xy҂7IKPQVs; '%eZľayy"V{̣ۗoV ޙ`0@Sթwv sD{j mJ9<_"{7*/x}GmO Ϝw \I#כgub])[}9 L+c;~_%1r VlI>/Lpu14'6Ɖ7uu8*t(Hp=ޱ[~ښ>c[$>Frԡ[Ks޵A-?gO *eN|c. n3i;c >vl9u'TțKs7:L `|՝f19XY-1e؜R꿞V=>aؠ/lB_̈́``ż0˯nT Pbݍ3F_Kת߶#ۧYsC?Mm(XLrw?R=  *7K&km0Ej)>6!,>yMi K W̘"cG%v#r/n8>/Qy?.Q'~*:^+PW^81୫?wJF%gOll2*)rUMgk9R^YI;u/cǤ}Y떌qZD. VFϹ|Mmh\okotlWu+o_Lk _w0J5>v3do&R*uGFZpnKKyG4Ϥ_H2Y: Wjg6;<iIfM ƩnoCJ0L{VzW+9kȭfL_´ Ѝ;UZ>: z}Jwnye8ԭ!F{z+|tub`cH|}Ԣ(2Y<>7e;>Q-`Ҹ̩j>2ۧf$߽)( 0v3}^\~=cO=[iᮐ|B~6M~JK塊QCh4]R}/+=c_|̯*}) X$5%Cx;@ `?Jp:z0& B#ppl'dW{~Q8%4__VHp7Q(x@,!ΞbԲ+> JpQLMAHL(^h} s"?Bdk1F,Ch=x8# A Gbb[YQB1\!O ռS9[Y|k qhbX I .,Ě[J|HDt2aY Ke-٭&zI%AeIĹ!h].J>WR|V|J+Cx f;JZkQhC을*[נ݆x->C2Oye))5%sD9On!J "tMt+Mw;s-^9(|%oK%%JITӦ/*,2TgqLMKHwsq-|\3bB"$^6` !JMBA_o ϡ3NJȥ;KE2=s3&:;ML'U`+l{hRGx7q]swWkI~F,k-M+K2/G*Am tR 㐊Q&-ʹ6aWR:_̴>Bdg`ecL+}{=޽sV?*>#_h's2ٷtnO?!;K w ;݀n /pIss9rRhB߼ѝM;굺ښ*6ZUQ,+-).rm7[dI +Ъ8n $ TAQFM3e>gXkĦ W"BJ!1 gM^2;xC8 %q%B&ƒxK[Cjh꫇5|hz2Mډpe4r!fE+pa彑E.SV(tf@ C08/dl0 Fԑđa0n}].ί׺d9n2y^k=5 }9oW<م_*FM1J0&Whک%qn*O{f+*-(.H!Jo6Jaӛ6瘂LsE*KXFc"2`&1ϚQ?$hAЋӼPu>ϝ8/4Ci)β.ryyͩ "~+H/K)E)%vKRJR^)M*M$VYEY9L_, &oX6:> 8"suG(~-YRp,MȴR=!0ː,Mة=d.r0HCtHjXAeQ; uD!:҉g~Hϵڃ˩79>W$K4eJSL2Jz):3mbL WIW#801g%_˽ TŇMkhjXI'dNdd0GóA=QaczPnzCst:2#fE~HiaYiG1#F:I7ǤW|+NU1:Km'yk8q]x{]!|A_p0&ʗS9i󸮓r*j'h]O 0f2:MA'M*J(Y~{ar9j[bEY*"vIG1I `Xɡhrvݝ}vl}c۱q8Q!ee֑ ŠBaU6!Z pA۪MI˲4Lv.wgwLnCB񾞯6$o7dp/ЛL?›BmW  :9 SKп;y/|͆4mkD5$xs"ɩ43a8LL_=ۮmDp1PRCS9ϐ4C$SPAf[_05w5>X?s3 Rmކ im/Nxp'NppC&ڽUžfl65}/&dCiYEl eڿf^݅L>53ϊR 503SNWeRN[gI'M_eK4#eE[eϕ,~QVǮ4<cOI -:DKeK$y4(0y|A""h1 c˖G"Xg-t7u l,2UI>1f_j R ~>;Y#\>#\ WB_XPE*'%ͭ@9(J0HJ$8fMlrLj3V,9K"vQCK%|vۚeXwSq5R*1ok3'|G(ppxwǶ>u?Ҩ$^i)?dḃ[yWxuQpc ~wTjk%vYe7Kv^9aO&;2LKxyOX D^9<xA!L ٞ6!DDUC5⚓NJ;(K\+ y ( Q_Dd8]>p Fa05'VR(KEgTBd3I8=s#nn(i6~2h5>yc`5yў떖J_\✒KƆv߾4xc<6>yj+z-܁/00#} .1o!Z0VFՀ8r$h rvn)G,8*p|,@`V!w^C9Dݪ5o݆@ԿTP)WPm4.խi=ԌbGWFS<ʘV(Sz˂OC76QݔZ^tʋ$3N$g0c~^΂.q-->N䘌ӿv'qBl 9Ҳ ;{GXɡ ;W?g_:tO?Ho1vT(0xuȁO)Û|\9=n҈[#7r08 4wT J5V]2 ߖ @-~<ޙ)\fHWn#]bHEwPԣ&`&S!0ʺvNΉwRVH6:=8ht~QíX]D6L7^H;ۣ-nZm+衑pIm+͉Kv.C˛V,>zJcjI OQB()BRL!^gX;(1ps`E) /@:\'`#0< \[.߿Eӊ.=f_} (:%h¼`m^AOx n S*W<ai)Zz7ˍ{>1c-+v:UÏ;T*wW`}vssϭ<}~qrzGzB|2A/㺎tᰛ9 fˀkf*TGьpuӚv6+Kts&-m^ 4A z(}V8c361P~?n6~O=\0<}a-Ǐ^NY'n!PF+Z謘ibmjtC;d!gsϲ)Q֨9!PPX}vGg7v*@'VQbz rKq-a)rI0! -lq( ƿs:OFS,N^Z4SG I{ƞMo~vp,[_UEm`SlR(m!"ٶG98zpw"!"%@l !@Mhb  ꙐA嶾b)(̛ٙ~cwnd}Yv-ZU5'o s/Vu`ߺÿ}ӵ=}5ۋ2?ݼζvW _W|4I PI4|V~QU]}+ƨ[ „f Rr3%$UrsvU,Ș-[XciL&:# F#eht,&V5L DQd䣔$Fw l $(+{~ƫ}}gpFg5E) &K"$Rpz@=CWPګڇ ,]"*b`H j"Mn['|`W0SΚ`hK0D.@{V(OYT s۴sE+*++\Mq*p6;7Df_6ton [y [AvpVFBޑ*'(*8+8y%S=;/.g#+A.*Z YO?֟Y)u|K64 endstream endobj 18 0 obj<> endobj 19 0 obj<>/FontDescriptor 18 0 R/DW 1000>> endobj 20 0 obj<>stream HTMo0 7@HX ;!i(%6~Ino7?x. x,d یAI_x=C?S3DqD;$m{#BJ!Hl9{A a-hiM h$7_'Q$:R&II")(vD6(cԶ"*X-u iETFϫ 㞺d/YAo^axGv̸aEA}Պ'֚VlFeb#Wkp[xJwv6X]'7$? endstream endobj 21 0 obj<>stream xԕ[o7 A3ǩ4WD`Aq6PGRY)#m{r[ ޑgՖ\`(\e(&G\ QM(\b,.4GJH2%Q"xB^ES쀠:]lGPQH1|$%\ʎ#{ *x=x % "0 ^/kryg Ղ5̷װH"74U8 %7W"*^YX|dT `ɸAWXYڀU98\^aB¢Tdj𨂗'C!+lzr şBS^$ZeXTC[Eb`p!4G'O0y@c1D"7%%q=c+O$D rm"I:1؊O"n$y&HHaK$7g@"θHsqD rYOwqXbnx);ɻr+[J-q=dwmrs4܌sS 3Íl^j/m.Bp/KN;%vJ)S+V:tXajR;vJ)SjNi:uJ)SZNi:E+ieAkԚfEkժ- yٍoϏ7?4/ւSI}!\~;NWjY?pV>6۳Vpr `r~8,;t'5~;pΝ^vxK_=/H_9/J_>/I_:/K_u9O?#mɏl|e7N˧~zD=(YYlV&2dJoU#6{f=bGl#6{Df="Gd#2{Df7{yG7{yG7{Qkfe5+YdVF2lVYi=f٣j=fkY endstream endobj 22 0 obj<>stream xjU1E%_I2IP&>R-߻i?  瞹ɚRgʩXN*i4^5x[*1xT(OՅES\OfF.nP Vg85K>ZKa=qu{n+_&WrrA47JyS8ߑCt>ʞ #>H endstream endobj 23 0 obj<>stream x܌A 0D2'0m@)+Ep$BMީTw>H:D!N#YTC\ =jHޑ6PaƮmkfc1,[f7>Jޤ\.<;3~ewmQі endstream endobj 24 0 obj<> endobj 25 0 obj<> endobj 26 0 obj<> endobj 27 0 obj<>stream 14 Continuum/background ModelsName endstream endobj 28 0 obj<> endobj xref 0 240 0000000000 65535 f 0000007039 00000 n 0000007165 00000 n 0000007296 00000 n 0000010503 00000 n 0000010629 00000 n 0000010748 00000 n 0000014301 00000 n 0000014427 00000 n 0000014546 00000 n 0000018627 00000 n 0000018756 00000 n 0000018877 00000 n 0000020882 00000 n 0000021963 00000 n 0000022093 00000 n 0000022324 00000 n 0000022476 00000 n 0000033094 00000 n 0000033323 00000 n 0000033633 00000 n 0000034048 00000 n 0000035458 00000 n 0000036203 00000 n 0000036450 00000 n 0000036485 00000 n 0000036509 00000 n 0000036587 00000 n 0000040595 00000 n 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f trailer <> startxref 116 %%EOF PyMca5-5.2.2/PyMca5/PyMcaData/HTML/mSpin.png0000644000276300001750000000176713136054446020205 0ustar solebliss00000000000000PNG  IHDR%AI0PLTE/ݠ{tRNSfvD2"TݻgIDATX VKSq~~ф,AΖ" J#3**!v2#Aݞ0n]ezЛ.2&z{d͵t؞yuʣM,jn*u"[)޵BZy@ŗBm_ ſ?(bz~u*;2v~VgةL ^[qJ%h36yN6jN?C}"GvcME6 QII SV\|Tp]}h>n1^rޯ&DC\{MASJa&.X\GQ!dMXo)X*7Rβ$j(՗*⽹* p9&؟0`WE5] \y@ő(~"]q X=<Z>t{+չֲ@-ס+R::!gNO[l /}bX0H!MDlxm%'i"B2V= M,cjA늽G;7,I'5x[0 *ɴ KxPY:Փͽ)E*\*e앍N9Ъek=OTl:QySv_#5 Fjt45uZk쿍+}iƾIENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/mOrb.png0000644000276300001750000000162213136054446020004 0ustar solebliss00000000000000PNG  IHDR%z0PLTE/ݠ{tRNSfvD2"TݻIDATH O`ǿmp"&^L^J"5@PgH:`^V$<PcH`[#Pb#}R_SقވX`}pYpG 2ްҝsh;oZY bD0.suݹ5gj7p|?8dltOPpچmcA'Ws\o/捸v(h`]dp2I؍DJw)*.3vR-dZOou?U*2 ()1\Nuʷ:ҭj*] #zuhi,~LYJRTR v2A'!"YHǛJwy); #K lBCy2\v4Z1EьYzsJyQ~DSAT[1~n+j9B2CS@Ez wjܝ_ 6TqMc$ ;#9el‰ȋ4r G&$MS]p#HQZ&>!:O˸J=CoACJKhXzٜ7i?X>GSX)}D>MѮ[uݷiv)svlcAAIENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/mu.png0000644000276300001750000000042613136054446017527 0ustar solebliss00000000000000PNG  IHDR"JA0PLTE/ݠ{tRNST2"D݉fv>IDATc`(N+P9"l7[jժu0SfT`0a`}c``)```T00M0" 7@ P 0&T C~J ؿ0E`:}7: zTr["dN0IENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/qInt.png0000644000276300001750000000165313136054446020024 0ustar solebliss00000000000000PNG  IHDR+9_0PLTE/ݠ{tRNSvfT"D2\#IDATH KhQL&14];E6"A,Ɔb bZVPrЅE#A]ԅЀP>֍b ]H]ZE#3ŜsGSKQkR8"HrH r8BJrzVGH7qBFLy$`\p;ܟ nw#뮥}L3>o[NA"B%WmS=}ƴIodF|ی{YQcWCl>aeId wˆbL)ñ6S.+R~2۪eu *nqXWWQ|}[40k0؏P|VV t8TMb\-@dy Q MT@ r$?~I,:[{1bQj T۵,~G0̡&cy6r}GzgʱjZssᛇJNafϛqQwƙ;xu v-ez2ӠlNئ7s.fʫզ̲ޒFĄXsԸ54-W_r_-|r]n&8>*yOd _InԈ,o M;Go[m t9)<6z5DEb/;!N_gY{|IRxOQ$aC>fNHl2бx첌цi)p}2# y$^D=Tv'4Vp|P`vO>_T`S IENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/0000755000276300001750000000000013205526235017340 5ustar solebliss00000000000000PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/image002.gif0000644000276300001750000000016313136054446021336 0ustar solebliss00000000000000GIF89a w1!Software: Microsoft Office!,D;PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/image014.gif0000644000276300001750000000114013136054446021335 0ustar solebliss00000000000000GIF89aAw1!Software: Microsoft Office!,y;Fҋvvdujf{6s0]@<"L5%戛Ҕj]BlkևM"hMFcz&l7wF(GUgXB蕆ظHh)y5"ǃٙSjzg3YId$W4" |;єL2ˋuD z;M~~[YΌB/?O_o/n/ _UG #A9QmE2gbr#0߅1j-i4OJѸ f%:!ޤbrCBAZ0A<bFSGbgEC^=Z꼖􎬤ҨuuFT4.Su),RgnͶ$\:.aOxg;/g3-@kE #Y~  iۆ|[yÎ[n;PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/image008.gif0000644000276300001750000000163513136054446021351 0ustar solebliss00000000000000GIF89aCw1!Software: Microsoft Office!,>3XK<]܅Hn_P" rζiK} :VqL6JlJL4׮KV<m,N tR^nމqZXDzs2HdHD(Y6rt%qR9Z2')%JzkzW 5 3{JꜪ:ڗccl\T==GHLͻl~Q>>9? )/ >diݲjIP*g )M+>%Ǽv!1y2%ʍSdO^8CUiψAWM$ZTV,Vg0g=P, :Y%MF@ >Ҡk+gZ+)בŋP$|Y h2^ʤrk2*Xp-f;'2ؙo`;VN}tڊmċۚ ̛;|5bGv2ݺVH;v!쉚(ZΧvhʪ5+Zk';PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/Formula7.png0000644000276300001750000000357713136054446021561 0ustar solebliss00000000000000PNG  IHDR21nPLTE_AWfWL"_-W l5>DXGOpenwH fE:\segfs\bliss\source\applications\PyMca\HTML\IMAGESimage016.gif8wb&8wWw\\E@0w-w" i[h[5 YH$Tw" ;E:\segfs\bliss\source\applications\PyMca\HTML\IMAGES\image016.gifw"$ "$$i[;dy+uq """Uw%wN7W|ffZ]1jw"W|9W|D"í @tRNS < pHYsodIDATx r#! E/=h1T\Fv/3+cCN(fd[ _dn!#BdT$¾Y,Bz0i4] )M"S/2ܧ4Muk# ^1,Zɝ>QlhV&EFF%\jb٬uB? w-=al^&n`+2β}ZT-Gsf5(D"N.΁LV@o,w42lg`lOȲ  iRW-_p|N؈IR ٹwhplrtOM*2)~AGT4*'gl`w8Szco2hV23"#oɲ C,dUۥ=P%W-MR{}Ȕ(†5VO)b~8ߊ LmS?m7&@ʶ})ى+Ñ p`^@ǜl)}|MBÜ'Pp!ydQ}e%oLrȐ)}/2:RX2h!;jxn"r%؄@ v+!/2DV5,{ƷBm8\/D$92lPEaW:2&lQzJo**Sq Y1gK @(RDEqeCzSLo8N@mr曛N}"sq&f78i/j鯚IENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/Formula2.png0000644000276300001750000000256013136054446021543 0ustar solebliss00000000000000PNG  IHDR'PLTE_AWfWL"_-W l:CDXGOpenwH fE:\segfs\bliss\source\applications\PyMca\HTML\PyMCA_filesimage006.gif TWwD00r@bwBl BD-w"$i[h[ YH$Tw"$;E:\segfs\bliss\source\applications\PyMca\HTML\PyMCA_files\image006.gif$$"$$i[;dy+uq ""Uw%wN7W|ff:1554"W|9W|D"tRNS < pHYsod IDATxՕ D3=ijdӍe"q@ 0ڎKj},^ty:"}br @G[z!.r rs2﹨5f.s:,JwOk)0YgfS`)EGvCayMDpWRBxź,E_0˩1K##d QeUJĜ.>]\ +A+{r!+ޓAڰ^aN̩/N^`F^ڋnyw?IENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/Formula5.png0000644000276300001750000000273513136054446021552 0ustar solebliss00000000000000PNG  IHDR+`!PLTE_AWfWL"_-W l5>DXGOpenwH fE:\segfs\bliss\source\applications\PyMca\HTML\IMAGESimage012.gif TWwD00r@bwb&: ;;-w"$i[h[ YH$Tw"$;E:\segfs\bliss\source\applications\PyMca\HTML\IMAGES\image012.gifw"$$"$$i[;dy+uq """Uw%wN7W|ffZ]1jw"W|9W|D"dtRNS < pHYsodwIDATx 0 E_V`̨q$)V8Ё.a!_z1Lk/y1rQX $ws։ #ѹon :&v$\4HYI$Ï R7ɐE/eIENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/Formula1.png0000644000276300001750000000305713136054446021544 0ustar solebliss00000000000000PNG  IHDR7νRPLTE_AWf0[WL"_-W l:C0[DXGOpenwH fE:\segfs\bliss\source\applications\PyMca\HTML\PyMCA_filesimage004.gifwb&8wWw\\"@0w-w"qi[h[y YH$Tw"q;E:\segfs\bliss\source\applications\PyMca\HTML\PyMCA_files\image004.gif$q"$$i[;dy&0[ ""Uw%wN7W|ffh["W|9W|D"_tRNS < pHYsodIDATx ;d3/CmKj[Xp:{e*Jpt @4K礙㐁=ך+pI sa EZnslR d/ AW}d#~$ 89D@.+8~_7wu󜒵阹 X6'Lm|6\(v P6(¨NKͥK;qΡA1PQ-R(paap=8g41b.Ad*W8.Zp恜plY5; inGdBA1thz[ AW3v`-AzZ']Q.Gw nKkw3ʣ*,?UȄg+K˾ĚZo^1d2ؤOkP{ܺ T  rO}nIENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/image018.gif0000644000276300001750000000057013136054446021347 0ustar solebliss00000000000000GIF89ae/w1!Software: Microsoft Office!,`(ׄkin)oyH.0*"Ԫi\,E3;Ra"ifdPLTE_AWfWL"_-W l:CDXGOpenwH fE:\segfs\bliss\source\applications\PyMca\HTML\PyMCA_filesimage008.gifwb&8wWw\\E@0w-w"%i[h[ YH$Tw"%;E:\segfs\bliss\source\applications\PyMca\HTML\PyMCA_files\image008.gif$%"$$i[;dy+uq ""Uw%wN7W|ff:1787"W|9W|D"Ɉ,tRNS < pHYsodIDATx홉v EttpD֜V+I;^4`thˀ XOɬ{$NM;ɴws$ϔٓN6&VP~h=VD OXTG б ᎗;m܉wgR"J~zH;{H;'0;˭`Q^S-FT'0|4\1O?"p.TzZ 2vjӑ/mG\"G޼Zg*'DdEdbȯr,x%E޴\>f_B?p}1zpQ=7М|me?V:yIENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/image016.gif0000644000276300001750000000200613136054446021341 0ustar solebliss00000000000000GIF89a85w1!Software: Microsoft Office!,21rhHrb, |O(Cǟ%(UʸZq,I4Au_2}<^dSWija6d'8wB95T񉣸$uzzgJ v`+X{5 "\k ̺zl"(,y,]=|J%Ē-]E~[=yNN>j M4]=BDpu2!a6nx5l c8[yzV d̑4-DCqIN4$wn%lPi"9ZsVBjPkI$ő@zr: -;^JaQ?fj0%).3#M]xEϖkik_pPZ۰qE|e@7v<ƙu|㺷1KW~ ;lbA+ZJ16hԺ&9NεA?|\ڙow|T潫^*#V8>BF黻EG{qGW1^yf)7v]d je Wu]LeWyA嵢%sȎ!O.3&"D6^Z: }H#o5I*/Xv2*`Sv"NZiYZf6ecWӜttٙ&ilцxi+9dQh c(NT D& CvJ֙iujQz,]:%g;zIAbvZJkeڊJ%*)ڳ*[~:lt< [ mhÃb+v&c-['nZɼUo'p譯q5L}Wlq;PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/image010.gif0000644000276300001750000000140413136054446021334 0ustar solebliss00000000000000GIF89a 1w1!Software: Microsoft Office!,-c Aڋ޼0扦ze Qd/)rLWѓz VIʮN2:5د KAgVm_qt7Ux6ח!GEH7&fhy8hE)V9JJwy9ixY zȚ )׉S s꠹e씦ZͶ썖c%~.t jR~8FyoU?"7}2Y Y]z8;&ÐGkLc16f<zބtYc +s~@$]A‘4i1ؼ3 JT MQ*ѧ<~U,6ld13B,P8=|/'c,G`v8~`z9R9`\CdBiǟUIx&Ɯm=;#q{ wcѨM:f#?YM>L"K;PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/Formula8.png0000644000276300001750000000252113136054446021546 0ustar solebliss00000000000000PNG  IHDR`(6M PLTE_AWfWL"_-W l5>DXGOpenwH fE:\segfs\bliss\source\applications\PyMca\HTML\IMAGESimage018.gif TWwD00r@bwb&<P =?-w"i[h[ YH$Tw";E:\segfs\bliss\source\applications\PyMca\HTML\IMAGES\image018.gifw"$"$$i[;dy+uq ""Uw%wN7W|ff:3058"W|9W|D"l BtRNS < pHYsodIDATx͖ ^Ī-Y4=Ge3!l)&x޻+Ux+~q^ "oʝ!`ϐ7M6C5%>]@~2/ᶿSNA\jAJ|.t@L&# %H\K I_" :r-AM]K{IkQ8v<'\3_:@Ι ?&=/IENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/image020.gif0000644000276300001750000000142713136054446021342 0ustar solebliss00000000000000GIF89a1w1!Software: Microsoft Office!,+ً޼"X刦ʶH2L| cL*I ")=Fܮw4dFNw`S Ǹϼ~N'hxVB8hHisQi74xrg8 Iᤊ9 TkY¨ۺ9zl ,* P|8l-! n:d~*َ~J9NM.,_.~ L>xz&WZP!^ JHwXSD9idBKnwFm/5*-=Xl&8֔NJϕwT"~bgwU¸ONT(=W-AҮ˺׃Ukn\#! EbՋ`]I" r l x1ULVxb86v3cI˜2bBKTz]λ;Vf-0=ihx@) HdR얊NONT^X&Y;PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/Formula9.png0000644000276300001750000000330613136054446021551 0ustar solebliss00000000000000PNG  IHDR+PLTE_AWfWL"_-W l5>DXGOpenwH fE:\segfs\bliss\source\applications\PyMca\HTML\IMAGESimage020.gif8wb&8wWw\\>@0w-w"$i[h[ YH$Tw"$;E:\segfs\bliss\source\applications\PyMca\HTML\IMAGES\image020.gifw"$$"$$i[;dy& ""Uw%wN7W|ff:95,"W|9W|D"tRNS < pHYsod`IDATxZ0 $ӎ M6 uT ve9 h}76hK $gM[⣟P l}:Jmm(j|"K{sf˘BⵝfޮDnE&Wmx bUKx`~ `{'"[ ~xiKùl b9uD_DXGOpenwH fE:\segfs\bliss\source\applications\PyMca\HTML\IMAGESimage014.gif TWwD00r@bw#j 9<-w"i[h[ YH$Tw";E:\segfs\bliss\source\applications\PyMca\HTML\IMAGES\image014.gifw"$"$$i[;dy+uq ""Uw%wN7W|ff:1452"W|9W|D"PP)tRNS < pHYsodIDATx嗁 E˺ ׋H]dъEݶE. .ULC}}-y-PGr#߁=r :`vkɔȯO:MCJhhv-':2!YDҋ`s vxnkFF60 1G-'dΐσUp3KKV3 ,YQkФDEX\*g( Y5W=Œ5z1 T;TJ-lȐ/ q=Uq'~NhM V^xݔ4꤮\~B94FsɇTcPfh٥\|tC94};|̽N=zF-[`'~mɣk-~mLnt (룉,YcC^󩂧溦|շ{K%/?X8IENDB`PyMca5-5.2.2/PyMca5/PyMcaData/HTML/IMAGES/image004.gif0000644000276300001750000000122013136054446021333 0ustar solebliss00000000000000GIF89a;w1!Software: Microsoft Office!,7ڋѤH>a\ʂⲶvdI} `@gs Yi ReuHEu{Ee9#ezGkCA:} />H7gC&GY%5WHXq2y(f::$:J8 R + kr{wI 49:D)Y2\l׭mRj]}>RM|ex/9̳x٢O ]tKDy m1i*uTgȑ$7RTkDOv( 6KT2:T5TبLke,tR@LdT{29 () LȪ ʢTj~Oصq^zVnxZ W#◧FxtVH(X6vyA!) y:y3jWxHȐ[+JRQ qH$ :L| ͬ|gZt +=InWݛZK͞NL;~nln_9u}J`4YSaZX6[I⥈r8 "󏢊Ah<2^Ln(vyՄd /t!b;{-& OT"5U9\z0Pc2jVϴicD